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Study of Acid-Base Disorders and Biochemical Findings of Patients in a Tertiary Care Hospital: A Descriptive Cross-sectional Study.
32335656
Acid base disorder is a condition characterized by alteration in blood pH by the imbalance between the components of blood leading to a life threatening situation. The main aim of this study was to find the prevalence of acid-base disorders and biochemical findings of such disorders in patients in a tertairy care hospital.
INTRODUCTION
This descriptive cross-sectional study was conducted in Nobel Medical College Teaching Hospital from 1st September, 2018 to 31st August, 2019. Ethical apporoval was taken from Institutional Review Committee. All the patients presented to emergency department, intensive care units and wards were included during the study period. Data were entered and calculations were done in Microsoft Excel, point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data.
METHODS
Out of arterial blood gas analysis of 1144 patients, the prevalence of acid base disorders was 718 (62.76%) at 95% Confidence Interval (59.96-65.56%). Simple and mixed acid base disorders were observed in 332 (46.24%) and 386 (53.76%) patients respectively. Respiratory alkalosis was most common among 134 (40.36%) cases in simple acid base disorder whereas metabolic acidosis and respiratory alkalosis was most common among 204 (52.85%) in mixed acid base disorder. All types of disorders were observed more in elderly people (41-60 and >60 age group) than other age groups.
RESULTS
Acid base disorder was found to be more common in very ill patients in emergency and intensive care units. Mixed acid base disorder was the most common with male and elderly patients in predominance.
CONCLUSIONS
[ "Acid-Base Imbalance", "Acidosis", "Acidosis, Respiratory", "Adult", "Age Distribution", "Alkalosis", "Alkalosis, Respiratory", "Blood Gas Analysis", "Critical Illness", "Cross-Sectional Studies", "Female", "Humans", "Male", "Middle Aged", "Nepal", "Prevalence", "Sex Distribution", "Tertiary Care Centers", "Young Adult" ]
7580413
INTRODUCTION
Smooth physiological and well balanced functioning of a body depends on a very tight balance between the concentrations of acids and bases in the blood. Acid-base balance is important in the healthy maintenance of the cellular functions of the body. When there is imbalance between acid and base components in the body, it leads to Acid-Base Disorder (ABD). ABD is generally well correlated with high rates of morbidity and mortality.1,2 The appropriate diagnosis of ABD in critically ill patients requires measurement of plasma electrolytes and arterial blood gases by Arterial Blood Analysis (ABG), which evaluates metabolic and respiratory functions (pCO2, pH and pO2). An early diagnosis established by ABG can help in guiding the treatment of such patients and provide the details related with seriousness of the case.3 The main aim of this study was to find the prevalence of acid-base disorders and biochemical findings of such disorders in patients in a tertairy care hospital.
METHODS
This is a descriptive cross-sectional study which was carried out between a periods of 1st September 2018 to 31st August 2019 at Nobel Medical College Teaching Hospital (NMCTH) after getting the approval from the Institutional Review Committee. All the patients, who presented to emergency department, Intensive Care Units (ICU), Neonatal ICU and in different wards undergoing ABG analysis in the department of Biochemistry, clinical laboratory services, were enrolled for the study. Whole sampling was done. All the participants had signed the informed consent for the study. Arterial blood samples were collected from the patients presented in the different departments of NMCTH according to proper medical guidelines with all care on details such as site selection, collection procedures, sampling devices, sample handling etc. Sterile techniques were followed to prevent the site from being contaminated. Only those sample devices containing the proper amount of calcium-titrated heparin or lithium heparin as the anticoagulant were used to collect whole blood samples. Arterial blood gas analysis was carried out by EDAN il5 blood gas and chemistry automated analyzer, which holds test cartridge in a portable and automated system that measures pH and blood gas, metabolites and electrolytes. It utilizes potentiometry and amperometry to determine the concentration of blood gas and blood chemistries. The test cartridge contains the fill port, the fluidic chamber, electrical contacts and an array of sensors. Different types of test cartridge contain different sensors. Data were entered and calculations were done in Microsoft Excel, point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data.
RESULTS
A total of 1144 patients (admitted in Emergency department, ICU, NICU and in different wards) were evaluated for ABG analysis by sending their blood sample to the clinical laboratory services, NMCTH. Out of 1144 patients, the prevalence of acid base disorders was 718 (62.76%) at 95% Confidence Interval (59.96-65.56%). Simple and mixed acid base disorders were observed in 332 (46.24%) and 386 (53.76%) patients respectively (Figure 1). the ABD patients, we found that 403 (56.1%) were male and 315 (43.8%) were female. Amongst the patients with simple ABD, metabolic acidosis was identified in 103 (14.3%), metabolic alkalosis in 44 (6.1%), respiratory acidosis in 51 (7.1%) and respiratory alkalosis in 134 (18.7%) (Figure 2). In the mixed ABD, it was noted that the maximum were suffering with metabolic acidosis and respiratory alkalosis 204 (28.4%). The other mixed ABD in our study were metabolic alkalosis and respiratory acidosis 112 (15.6%), metabolic acidosis and respiratory acidosis 44 (6.1%) and metabolic alkalosis and respiratory alkalosis 26 (3.6%) (Figure 3). The findings of biochemical parameters of ABD patients are mentioned (Table 1). We have also evaluated our study by age group wise. Respiratory alkalosis was observed in 51 (7.1%) patients with age more than 60 years and in 43 (5.98%) patients with age 41-60 years. Metabolic acidosis, respiratory acidosis and metabolic alkalosis were also most commonly seen in more than 60 years in 38 (5.2%), 22 (3.0%), 19 (2.6%) patients respectively and in 41-60 years in 35 (4.9%), 18 (2.5%), 16 (2.2%) patients respectively. The data for number of patients suffering with simple ABD in other age group (Table 2). Mixed ABD was also mostly seen in higher age groups and the most common mixed ABD in our study population was metabolic acidosis and respiratory alkalosis, which was observed in 82 (11.4%) patients of more than 60 years age and in 68 (9.4%) patients of 41-60 age groups. Another major mixed ABD observed in our study was metabolic alkalosis and respiratory acidosis, which was seen in 41 (5.7%) and in 32 (4.4%) in >60 years age and 41-60 age group of patients respectively.
CONCLUSIONS
Acid base disorders are found to be the most common disorder among critically ill patients presented in the Emergency and other intensive care units. Therefore, the evaluation of arterial blood gas analysis becomes very important in understanding pathophysiology, making a diagnosis, planning effective treatment and monitoring progress. Mixed ABD was the most frequently observed case. Respiratory alkalosis was the most common among simple ABD case whereas metabolic acidosis and respiratory alkalosis was common in mixed ABD. Elderly people were more suffering with all types of ABD. Male suffered more from ABD than female.
[]
[]
[]
[ "INTRODUCTION", "METHODS", "RESULTS", "DISCUSSION", "CONCLUSIONS", "Conflict of Interest" ]
[ "Smooth physiological and well balanced functioning of a body depends on a very tight balance between the concentrations of acids and bases in the blood. Acid-base balance is important in the healthy maintenance of the cellular functions of the body. When there is imbalance between acid and base components in the body, it leads to Acid-Base Disorder (ABD). ABD is generally well correlated with high rates of morbidity and mortality.1,2\nThe appropriate diagnosis of ABD in critically ill patients requires measurement of plasma electrolytes and arterial blood gases by Arterial Blood Analysis (ABG), which evaluates metabolic and respiratory functions (pCO2, pH and pO2). An early diagnosis established by ABG can help in guiding the treatment of such patients and provide the details related with seriousness of the case.3 The main aim of this study was to find the prevalence of acid-base disorders and biochemical findings of such disorders in patients in a tertairy care hospital.", "This is a descriptive cross-sectional study which was carried out between a periods of 1st September 2018 to 31st August 2019 at Nobel Medical College Teaching Hospital (NMCTH) after getting the approval from the Institutional Review Committee. All the patients, who presented to emergency department, Intensive Care Units (ICU), Neonatal ICU and in different wards undergoing ABG analysis in the department of Biochemistry, clinical laboratory services, were enrolled for the study. Whole sampling was done. All the participants had signed the informed consent for the study.\nArterial blood samples were collected from the patients presented in the different departments of NMCTH according to proper medical guidelines with all care on details such as site selection, collection procedures, sampling devices, sample handling etc. Sterile techniques were followed to prevent the site from being contaminated. Only those sample devices containing the proper amount of calcium-titrated heparin or lithium heparin as the anticoagulant were used to collect whole blood samples.\nArterial blood gas analysis was carried out by EDAN il5 blood gas and chemistry automated analyzer, which holds test cartridge in a portable and automated system that measures pH and blood gas, metabolites and electrolytes. It utilizes potentiometry and amperometry to determine the concentration of blood gas and blood chemistries. The test cartridge contains the fill port, the fluidic chamber, electrical contacts and an array of sensors. Different types of test cartridge contain different sensors.\nData were entered and calculations were done in Microsoft Excel, point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data.", "A total of 1144 patients (admitted in Emergency department, ICU, NICU and in different wards) were evaluated for ABG analysis by sending their blood sample to the clinical laboratory services, NMCTH. Out of 1144 patients, the prevalence of acid base disorders was 718 (62.76%) at 95% Confidence Interval (59.96-65.56%). Simple and mixed acid base disorders were observed in 332 (46.24%) and 386 (53.76%) patients respectively (Figure 1). the ABD patients, we found that 403 (56.1%) were male and 315 (43.8%) were female.\nAmongst the patients with simple ABD, metabolic acidosis was identified in 103 (14.3%), metabolic alkalosis in 44 (6.1%), respiratory acidosis in 51 (7.1%) and respiratory alkalosis in 134 (18.7%) (Figure 2). In the mixed ABD, it was noted that the maximum were suffering with metabolic acidosis and respiratory alkalosis 204 (28.4%). The other mixed ABD in our study were metabolic alkalosis and respiratory acidosis 112 (15.6%), metabolic acidosis and respiratory acidosis 44 (6.1%) and metabolic alkalosis and respiratory alkalosis 26 (3.6%) (Figure 3). The findings of biochemical parameters of ABD patients are mentioned (Table 1).\nWe have also evaluated our study by age group wise. Respiratory alkalosis was observed in 51 (7.1%) patients with age more than 60 years and in 43 (5.98%) patients with age 41-60 years. Metabolic acidosis, respiratory acidosis and metabolic alkalosis were also most commonly seen in more than 60 years in 38 (5.2%), 22 (3.0%), 19 (2.6%) patients respectively and in 41-60 years in 35 (4.9%), 18 (2.5%), 16 (2.2%) patients respectively. The data for number of patients suffering with simple ABD in other age group (Table 2). Mixed ABD was also mostly seen in higher age groups and the most common mixed ABD in our study population was metabolic acidosis and respiratory alkalosis, which was observed in 82 (11.4%) patients of more than 60 years age and in 68 (9.4%) patients of 41-60 age groups. Another major mixed ABD observed in our study was metabolic alkalosis and respiratory acidosis, which was seen in 41 (5.7%) and in 32 (4.4%) in >60 years age and 41-60 age group of patients respectively.", "Acid base disorder is very common in critically ill patients and also strongly associated with mortality. Therefore, assessment of acid base status of such patients is an integral component of their treatment. Our findings have shown that the incidence of ABD in critically ill patients from the Emergency and other intensive care units of NMCTH is 63%. It can be compared with previous available reports, which elicits that the incidence rate of ABD in such patients in Korea,4 China,5 Italy,6 and Turkey7 is 66.4%, 94.2-97.3%, 56% and 71% respectively.\nIt was noted in our study that ABD was more common in male than female, which is similar to the findings reported earlier.4,7 In our study, it was seen that 29% of patients were suffering from simple ABD, whereas 34% of cases were of mixed ABD. In simple ABD cases, respiratory alkalosis was the most common but in mixed ABD, the maximum cases were of metabolic acidosis and respiratory alkalosis. Similar finding was observed in few studies, which reported as respiratory alkalosis as the most common type of simple ABD8,9 but Song ZF, et al.5 reported metabolic acidosis and respiratory alkalosis as not commonly observed in mixed ABD. In contrast to our results, a study carried out in China5 reported metabolic acidosis as the commonest simple ABD in sick people, whereas other studies conducted in USA10 and Scotland11 found metabolic alkalosis as the commonest type of simple ABD. Hodgkin JE, et al.10 reported metabolic acidosis and respiratory alkalosis (mixed ABD) as a less commonly observed ABD, which is different with our finding.\nIn our study, it was observed that ABD was more frequently seen in elderly patients with advanced age (>60 years). The reason for such a finding might be because of more incidence and severity of the diseases in advanced age group patients and they are also more likely to develop obstructive lung disease or kidney problem, which contributes the severity of ABD significantly. In addition to that, according to Nabata T, et al.12 various drugs and medication also affects acid-base status in advanced age patients.\nThe different biochemical parameters were estimated and were the basis of categorizing the cases as different types of ABD. The hallmark of metabolic acidosis was the decrease in blood pH and bicarbonate level with hypokalemia whereas for respiratory acidosis, it was decrease in blood pH with increase in pCO2 level and no change in sodium, potassium and chloride level. Similarly, the hall mark of metabolic alkalosis was increase in blood PH and bicarbonate level with hypokalemia, hyponatremia and hypochloremia, whereas increase in blood pH with decrease in pCO2 level with hypokalemia, hyponatremia and low ionized calcium were the hallmark for respiratory alkalosis. Similarly among the mixed ABD cases, normal blood pH, decrease pCO2, decrease bicarbonate with normal sodium, potassium and chloride level were the findings of metabolic acidosis and respiratory alkalosis. The findings of metabolic alkalosis and respiratory alkalosis were increase in blood pH, normal pCO2, increased bicarbonate, normal chloride, normal sodium and low potassium level. Nearly normal or slightly increased blood pH, increased pCO2, increased bicarbonate, normal or slightly decreased sodium, potassium level and normal chloride level were observed in metabolic alkalosis and respiratory acidosis. In case of metabolic acidosis and respiratory acidosis, decreased blood PH, normal or slightly increased pCO2, slightly decreased bicarbonate, normal sodium, potassium and chloride level were found.", "Acid base disorders are found to be the most common disorder among critically ill patients presented in the Emergency and other intensive care units. Therefore, the evaluation of arterial blood gas analysis becomes very important in understanding pathophysiology, making a diagnosis, planning effective treatment and monitoring progress. Mixed ABD was the most frequently observed case. Respiratory alkalosis was the most common among simple ABD case whereas metabolic acidosis and respiratory alkalosis was common in mixed ABD. Elderly people were more suffering with all types of ABD. Male suffered more from ABD than female.", "\nNone.\n" ]
[ "intro", "methods", "results", "discussion", "conclusions", "COI-statement" ]
[ "\nacidosis\n", "\nalkalosis\n", "\ncritical illness\n", "\npH\n" ]
INTRODUCTION: Smooth physiological and well balanced functioning of a body depends on a very tight balance between the concentrations of acids and bases in the blood. Acid-base balance is important in the healthy maintenance of the cellular functions of the body. When there is imbalance between acid and base components in the body, it leads to Acid-Base Disorder (ABD). ABD is generally well correlated with high rates of morbidity and mortality.1,2 The appropriate diagnosis of ABD in critically ill patients requires measurement of plasma electrolytes and arterial blood gases by Arterial Blood Analysis (ABG), which evaluates metabolic and respiratory functions (pCO2, pH and pO2). An early diagnosis established by ABG can help in guiding the treatment of such patients and provide the details related with seriousness of the case.3 The main aim of this study was to find the prevalence of acid-base disorders and biochemical findings of such disorders in patients in a tertairy care hospital. METHODS: This is a descriptive cross-sectional study which was carried out between a periods of 1st September 2018 to 31st August 2019 at Nobel Medical College Teaching Hospital (NMCTH) after getting the approval from the Institutional Review Committee. All the patients, who presented to emergency department, Intensive Care Units (ICU), Neonatal ICU and in different wards undergoing ABG analysis in the department of Biochemistry, clinical laboratory services, were enrolled for the study. Whole sampling was done. All the participants had signed the informed consent for the study. Arterial blood samples were collected from the patients presented in the different departments of NMCTH according to proper medical guidelines with all care on details such as site selection, collection procedures, sampling devices, sample handling etc. Sterile techniques were followed to prevent the site from being contaminated. Only those sample devices containing the proper amount of calcium-titrated heparin or lithium heparin as the anticoagulant were used to collect whole blood samples. Arterial blood gas analysis was carried out by EDAN il5 blood gas and chemistry automated analyzer, which holds test cartridge in a portable and automated system that measures pH and blood gas, metabolites and electrolytes. It utilizes potentiometry and amperometry to determine the concentration of blood gas and blood chemistries. The test cartridge contains the fill port, the fluidic chamber, electrical contacts and an array of sensors. Different types of test cartridge contain different sensors. Data were entered and calculations were done in Microsoft Excel, point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data. RESULTS: A total of 1144 patients (admitted in Emergency department, ICU, NICU and in different wards) were evaluated for ABG analysis by sending their blood sample to the clinical laboratory services, NMCTH. Out of 1144 patients, the prevalence of acid base disorders was 718 (62.76%) at 95% Confidence Interval (59.96-65.56%). Simple and mixed acid base disorders were observed in 332 (46.24%) and 386 (53.76%) patients respectively (Figure 1). the ABD patients, we found that 403 (56.1%) were male and 315 (43.8%) were female. Amongst the patients with simple ABD, metabolic acidosis was identified in 103 (14.3%), metabolic alkalosis in 44 (6.1%), respiratory acidosis in 51 (7.1%) and respiratory alkalosis in 134 (18.7%) (Figure 2). In the mixed ABD, it was noted that the maximum were suffering with metabolic acidosis and respiratory alkalosis 204 (28.4%). The other mixed ABD in our study were metabolic alkalosis and respiratory acidosis 112 (15.6%), metabolic acidosis and respiratory acidosis 44 (6.1%) and metabolic alkalosis and respiratory alkalosis 26 (3.6%) (Figure 3). The findings of biochemical parameters of ABD patients are mentioned (Table 1). We have also evaluated our study by age group wise. Respiratory alkalosis was observed in 51 (7.1%) patients with age more than 60 years and in 43 (5.98%) patients with age 41-60 years. Metabolic acidosis, respiratory acidosis and metabolic alkalosis were also most commonly seen in more than 60 years in 38 (5.2%), 22 (3.0%), 19 (2.6%) patients respectively and in 41-60 years in 35 (4.9%), 18 (2.5%), 16 (2.2%) patients respectively. The data for number of patients suffering with simple ABD in other age group (Table 2). Mixed ABD was also mostly seen in higher age groups and the most common mixed ABD in our study population was metabolic acidosis and respiratory alkalosis, which was observed in 82 (11.4%) patients of more than 60 years age and in 68 (9.4%) patients of 41-60 age groups. Another major mixed ABD observed in our study was metabolic alkalosis and respiratory acidosis, which was seen in 41 (5.7%) and in 32 (4.4%) in >60 years age and 41-60 age group of patients respectively. DISCUSSION: Acid base disorder is very common in critically ill patients and also strongly associated with mortality. Therefore, assessment of acid base status of such patients is an integral component of their treatment. Our findings have shown that the incidence of ABD in critically ill patients from the Emergency and other intensive care units of NMCTH is 63%. It can be compared with previous available reports, which elicits that the incidence rate of ABD in such patients in Korea,4 China,5 Italy,6 and Turkey7 is 66.4%, 94.2-97.3%, 56% and 71% respectively. It was noted in our study that ABD was more common in male than female, which is similar to the findings reported earlier.4,7 In our study, it was seen that 29% of patients were suffering from simple ABD, whereas 34% of cases were of mixed ABD. In simple ABD cases, respiratory alkalosis was the most common but in mixed ABD, the maximum cases were of metabolic acidosis and respiratory alkalosis. Similar finding was observed in few studies, which reported as respiratory alkalosis as the most common type of simple ABD8,9 but Song ZF, et al.5 reported metabolic acidosis and respiratory alkalosis as not commonly observed in mixed ABD. In contrast to our results, a study carried out in China5 reported metabolic acidosis as the commonest simple ABD in sick people, whereas other studies conducted in USA10 and Scotland11 found metabolic alkalosis as the commonest type of simple ABD. Hodgkin JE, et al.10 reported metabolic acidosis and respiratory alkalosis (mixed ABD) as a less commonly observed ABD, which is different with our finding. In our study, it was observed that ABD was more frequently seen in elderly patients with advanced age (>60 years). The reason for such a finding might be because of more incidence and severity of the diseases in advanced age group patients and they are also more likely to develop obstructive lung disease or kidney problem, which contributes the severity of ABD significantly. In addition to that, according to Nabata T, et al.12 various drugs and medication also affects acid-base status in advanced age patients. The different biochemical parameters were estimated and were the basis of categorizing the cases as different types of ABD. The hallmark of metabolic acidosis was the decrease in blood pH and bicarbonate level with hypokalemia whereas for respiratory acidosis, it was decrease in blood pH with increase in pCO2 level and no change in sodium, potassium and chloride level. Similarly, the hall mark of metabolic alkalosis was increase in blood PH and bicarbonate level with hypokalemia, hyponatremia and hypochloremia, whereas increase in blood pH with decrease in pCO2 level with hypokalemia, hyponatremia and low ionized calcium were the hallmark for respiratory alkalosis. Similarly among the mixed ABD cases, normal blood pH, decrease pCO2, decrease bicarbonate with normal sodium, potassium and chloride level were the findings of metabolic acidosis and respiratory alkalosis. The findings of metabolic alkalosis and respiratory alkalosis were increase in blood pH, normal pCO2, increased bicarbonate, normal chloride, normal sodium and low potassium level. Nearly normal or slightly increased blood pH, increased pCO2, increased bicarbonate, normal or slightly decreased sodium, potassium level and normal chloride level were observed in metabolic alkalosis and respiratory acidosis. In case of metabolic acidosis and respiratory acidosis, decreased blood PH, normal or slightly increased pCO2, slightly decreased bicarbonate, normal sodium, potassium and chloride level were found. CONCLUSIONS: Acid base disorders are found to be the most common disorder among critically ill patients presented in the Emergency and other intensive care units. Therefore, the evaluation of arterial blood gas analysis becomes very important in understanding pathophysiology, making a diagnosis, planning effective treatment and monitoring progress. Mixed ABD was the most frequently observed case. Respiratory alkalosis was the most common among simple ABD case whereas metabolic acidosis and respiratory alkalosis was common in mixed ABD. Elderly people were more suffering with all types of ABD. Male suffered more from ABD than female. Conflict of Interest: None.
Background: Acid base disorder is a condition characterized by alteration in blood pH by the imbalance between the components of blood leading to a life threatening situation. The main aim of this study was to find the prevalence of acid-base disorders and biochemical findings of such disorders in patients in a tertairy care hospital. Methods: This descriptive cross-sectional study was conducted in Nobel Medical College Teaching Hospital from 1st September, 2018 to 31st August, 2019. Ethical apporoval was taken from Institutional Review Committee. All the patients presented to emergency department, intensive care units and wards were included during the study period. Data were entered and calculations were done in Microsoft Excel, point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data. Results: Out of arterial blood gas analysis of 1144 patients, the prevalence of acid base disorders was 718 (62.76%) at 95% Confidence Interval (59.96-65.56%). Simple and mixed acid base disorders were observed in 332 (46.24%) and 386 (53.76%) patients respectively. Respiratory alkalosis was most common among 134 (40.36%) cases in simple acid base disorder whereas metabolic acidosis and respiratory alkalosis was most common among 204 (52.85%) in mixed acid base disorder. All types of disorders were observed more in elderly people (41-60 and >60 age group) than other age groups. Conclusions: Acid base disorder was found to be more common in very ill patients in emergency and intensive care units. Mixed acid base disorder was the most common with male and elderly patients in predominance.
INTRODUCTION: Smooth physiological and well balanced functioning of a body depends on a very tight balance between the concentrations of acids and bases in the blood. Acid-base balance is important in the healthy maintenance of the cellular functions of the body. When there is imbalance between acid and base components in the body, it leads to Acid-Base Disorder (ABD). ABD is generally well correlated with high rates of morbidity and mortality.1,2 The appropriate diagnosis of ABD in critically ill patients requires measurement of plasma electrolytes and arterial blood gases by Arterial Blood Analysis (ABG), which evaluates metabolic and respiratory functions (pCO2, pH and pO2). An early diagnosis established by ABG can help in guiding the treatment of such patients and provide the details related with seriousness of the case.3 The main aim of this study was to find the prevalence of acid-base disorders and biochemical findings of such disorders in patients in a tertairy care hospital. CONCLUSIONS: Acid base disorders are found to be the most common disorder among critically ill patients presented in the Emergency and other intensive care units. Therefore, the evaluation of arterial blood gas analysis becomes very important in understanding pathophysiology, making a diagnosis, planning effective treatment and monitoring progress. Mixed ABD was the most frequently observed case. Respiratory alkalosis was the most common among simple ABD case whereas metabolic acidosis and respiratory alkalosis was common in mixed ABD. Elderly people were more suffering with all types of ABD. Male suffered more from ABD than female.
Background: Acid base disorder is a condition characterized by alteration in blood pH by the imbalance between the components of blood leading to a life threatening situation. The main aim of this study was to find the prevalence of acid-base disorders and biochemical findings of such disorders in patients in a tertairy care hospital. Methods: This descriptive cross-sectional study was conducted in Nobel Medical College Teaching Hospital from 1st September, 2018 to 31st August, 2019. Ethical apporoval was taken from Institutional Review Committee. All the patients presented to emergency department, intensive care units and wards were included during the study period. Data were entered and calculations were done in Microsoft Excel, point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data. Results: Out of arterial blood gas analysis of 1144 patients, the prevalence of acid base disorders was 718 (62.76%) at 95% Confidence Interval (59.96-65.56%). Simple and mixed acid base disorders were observed in 332 (46.24%) and 386 (53.76%) patients respectively. Respiratory alkalosis was most common among 134 (40.36%) cases in simple acid base disorder whereas metabolic acidosis and respiratory alkalosis was most common among 204 (52.85%) in mixed acid base disorder. All types of disorders were observed more in elderly people (41-60 and >60 age group) than other age groups. Conclusions: Acid base disorder was found to be more common in very ill patients in emergency and intensive care units. Mixed acid base disorder was the most common with male and elderly patients in predominance.
1,723
311
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6
[ "abd", "patients", "alkalosis", "respiratory", "metabolic", "acidosis", "blood", "respiratory alkalosis", "mixed", "metabolic acidosis" ]
[ "case metabolic acidosis", "acidosis metabolic", "suffering metabolic acidosis", "reported metabolic acidosis", "acid base disorders" ]
[CONTENT] acidosis | alkalosis | critical illness | pH [SUMMARY]
[CONTENT] acidosis | alkalosis | critical illness | pH [SUMMARY]
[CONTENT] acidosis | alkalosis | critical illness | pH [SUMMARY]
[CONTENT] acidosis | alkalosis | critical illness | pH [SUMMARY]
[CONTENT] acidosis | alkalosis | critical illness | pH [SUMMARY]
[CONTENT] acidosis | alkalosis | critical illness | pH [SUMMARY]
[CONTENT] Acid-Base Imbalance | Acidosis | Acidosis, Respiratory | Adult | Age Distribution | Alkalosis | Alkalosis, Respiratory | Blood Gas Analysis | Critical Illness | Cross-Sectional Studies | Female | Humans | Male | Middle Aged | Nepal | Prevalence | Sex Distribution | Tertiary Care Centers | Young Adult [SUMMARY]
[CONTENT] Acid-Base Imbalance | Acidosis | Acidosis, Respiratory | Adult | Age Distribution | Alkalosis | Alkalosis, Respiratory | Blood Gas Analysis | Critical Illness | Cross-Sectional Studies | Female | Humans | Male | Middle Aged | Nepal | Prevalence | Sex Distribution | Tertiary Care Centers | Young Adult [SUMMARY]
[CONTENT] Acid-Base Imbalance | Acidosis | Acidosis, Respiratory | Adult | Age Distribution | Alkalosis | Alkalosis, Respiratory | Blood Gas Analysis | Critical Illness | Cross-Sectional Studies | Female | Humans | Male | Middle Aged | Nepal | Prevalence | Sex Distribution | Tertiary Care Centers | Young Adult [SUMMARY]
[CONTENT] Acid-Base Imbalance | Acidosis | Acidosis, Respiratory | Adult | Age Distribution | Alkalosis | Alkalosis, Respiratory | Blood Gas Analysis | Critical Illness | Cross-Sectional Studies | Female | Humans | Male | Middle Aged | Nepal | Prevalence | Sex Distribution | Tertiary Care Centers | Young Adult [SUMMARY]
[CONTENT] Acid-Base Imbalance | Acidosis | Acidosis, Respiratory | Adult | Age Distribution | Alkalosis | Alkalosis, Respiratory | Blood Gas Analysis | Critical Illness | Cross-Sectional Studies | Female | Humans | Male | Middle Aged | Nepal | Prevalence | Sex Distribution | Tertiary Care Centers | Young Adult [SUMMARY]
[CONTENT] Acid-Base Imbalance | Acidosis | Acidosis, Respiratory | Adult | Age Distribution | Alkalosis | Alkalosis, Respiratory | Blood Gas Analysis | Critical Illness | Cross-Sectional Studies | Female | Humans | Male | Middle Aged | Nepal | Prevalence | Sex Distribution | Tertiary Care Centers | Young Adult [SUMMARY]
[CONTENT] case metabolic acidosis | acidosis metabolic | suffering metabolic acidosis | reported metabolic acidosis | acid base disorders [SUMMARY]
[CONTENT] case metabolic acidosis | acidosis metabolic | suffering metabolic acidosis | reported metabolic acidosis | acid base disorders [SUMMARY]
[CONTENT] case metabolic acidosis | acidosis metabolic | suffering metabolic acidosis | reported metabolic acidosis | acid base disorders [SUMMARY]
[CONTENT] case metabolic acidosis | acidosis metabolic | suffering metabolic acidosis | reported metabolic acidosis | acid base disorders [SUMMARY]
[CONTENT] case metabolic acidosis | acidosis metabolic | suffering metabolic acidosis | reported metabolic acidosis | acid base disorders [SUMMARY]
[CONTENT] case metabolic acidosis | acidosis metabolic | suffering metabolic acidosis | reported metabolic acidosis | acid base disorders [SUMMARY]
[CONTENT] abd | patients | alkalosis | respiratory | metabolic | acidosis | blood | respiratory alkalosis | mixed | metabolic acidosis [SUMMARY]
[CONTENT] abd | patients | alkalosis | respiratory | metabolic | acidosis | blood | respiratory alkalosis | mixed | metabolic acidosis [SUMMARY]
[CONTENT] abd | patients | alkalosis | respiratory | metabolic | acidosis | blood | respiratory alkalosis | mixed | metabolic acidosis [SUMMARY]
[CONTENT] abd | patients | alkalosis | respiratory | metabolic | acidosis | blood | respiratory alkalosis | mixed | metabolic acidosis [SUMMARY]
[CONTENT] abd | patients | alkalosis | respiratory | metabolic | acidosis | blood | respiratory alkalosis | mixed | metabolic acidosis [SUMMARY]
[CONTENT] abd | patients | alkalosis | respiratory | metabolic | acidosis | blood | respiratory alkalosis | mixed | metabolic acidosis [SUMMARY]
[CONTENT] body | acid | base | acid base | functions | balance | abd | diagnosis | patients | blood [SUMMARY]
[CONTENT] blood | blood gas | gas | cartridge | test | test cartridge | different | proper | site | sensors [SUMMARY]
[CONTENT] age | patients | alkalosis | acidosis | 60 | metabolic | respiratory | abd | 41 | years [SUMMARY]
[CONTENT] abd | common | respiratory alkalosis common | alkalosis common | case | alkalosis | mixed abd | mixed | respiratory alkalosis | respiratory [SUMMARY]
[CONTENT] abd | alkalosis | patients | respiratory | acidosis | metabolic | blood | respiratory alkalosis | mixed | mixed abd [SUMMARY]
[CONTENT] abd | alkalosis | patients | respiratory | acidosis | metabolic | blood | respiratory alkalosis | mixed | mixed abd [SUMMARY]
[CONTENT] ||| [SUMMARY]
[CONTENT] Nobel Medical College Teaching Hospital | 1st September, 2018 to 31st August, 2019 ||| Institutional Review Committee ||| ||| Microsoft Excel | 95% [SUMMARY]
[CONTENT] 1144 | 718 | 62.76% | 95% | 59.96-65.56% ||| 332 | 46.24% | 386 | 53.76% ||| 134 | 40.36% | 204 | 52.85% ||| 41 | 60 [SUMMARY]
[CONTENT] ||| [SUMMARY]
[CONTENT] ||| ||| Nobel Medical College Teaching Hospital | 1st September, 2018 to 31st August, 2019 ||| Institutional Review Committee ||| ||| Microsoft Excel | 95% ||| 1144 | 718 | 62.76% | 95% | 59.96-65.56% ||| 332 | 46.24% | 386 | 53.76% ||| 134 | 40.36% | 204 | 52.85% ||| 41 | 60 ||| ||| [SUMMARY]
[CONTENT] ||| ||| Nobel Medical College Teaching Hospital | 1st September, 2018 to 31st August, 2019 ||| Institutional Review Committee ||| ||| Microsoft Excel | 95% ||| 1144 | 718 | 62.76% | 95% | 59.96-65.56% ||| 332 | 46.24% | 386 | 53.76% ||| 134 | 40.36% | 204 | 52.85% ||| 41 | 60 ||| ||| [SUMMARY]
Peptide-Based Hydrogels and Nanogels for Delivery of Doxorubicin.
33688182
The clinical use of the antitumoral drug doxorubicin (Dox) is reduced by its dose-limiting toxicity, related to cardiotoxic side effects and myelosuppression. In order to overcome these drawbacks, here we describe the synthesis, the structural characterization and the in vitro cytotoxicity assays of hydrogels (HGs) and nanogels (NGs) based on short peptide sequences loaded with Dox or with its liposomal formulation, Doxil.
INTRODUCTION
Fmoc-FF alone or in combination with (FY)3 or PEG8-(FY)3 peptides, at two different ratios (1/1 and 2/1 v/v), were used for HGs and NGs formulations. HGs were prepared according to the "solvent-switch" method, whereas NGs were obtained through HG submicronition by the top-down methodology in presence of TWEEN®60 and SPAN®60 as stabilizing agents. HGs gelation kinetics were assessed by Circular Dichroism (CD). Stability and size of NGs were studied using Dynamic Light Scattering (DLS) measurements. Cell viability of empty and filled Dox HGs and NGs was evaluated on MDA-MB-231 breast cancer cells. Moreover, cell internalization of the drug was evaluated using immunofluorescence assays.
METHODS
Dox filled hydrogels exhibit a high drug loading content (DLC=0.440), without syneresis after 10 days. Gelation kinetics (20-40 min) and the drug release (16-28%) over time of HGs were found dependent on relative peptide composition. Dox filled NGs exhibit a DLC of 0.137 and a low drug release (20-40%) after 72 h. Empty HGs and NGs show a high cell viability (>95%), whereas Dox loaded ones significantly reduce cell viability after 24 h (49-57%) and 72 h (7-25%) of incubation, respectively. Immunofluorescence assays evidenced a different cell localization for Dox delivered through HGs and NGs with respect to the free drug.
RESULTS
A modulation of the Dox release can be obtained by changing the ratios of the peptide components. The different cellular localization of the drug loaded into HGs and NGs suggests an alternative internalization mechanism. The high DLC, the low drug release and preliminary in vitro results suggest a potential employment of peptide-based HGs and NGs as drug delivery tools.
DISCUSSION
[ "Antineoplastic Agents", "Cell Death", "Cell Line, Tumor", "Cell Survival", "Doxorubicin", "Drug Carriers", "Drug Delivery Systems", "Drug Liberation", "Dynamic Light Scattering", "Endocytosis", "Humans", "Hydrogels", "Nanogels", "Peptides" ]
7935351
Introduction
Nowadays, cancer remains one of the leading causes of mortality worldwide, affecting more than 10 million new patients every year. Among cancerous diseases, breast cancer is the most common one for women in the United States with more than 200,000 newly diagnosed cases for year.1 Current treatment options include surgical resection, radiation, and chemotherapy. Chemotherapeutic regime establishes the treatment of patients with drugs (doxorubicin, docetaxel, paclitaxel, and tamoxifen) alone or in combination.2 Doxorubicin (Dox), also known as Adriamycin, is a natural antitumor antibiotic of the anthracycline class, which works as DNA intercalating agent and as an inhibitor of topoisomerase II.3 Despite its therapeutic potentiality, clinical use of Dox is hampered by its dose-limiting toxicity, represented by myelosuppression and cardiotoxic side effects, which cause increased cardiovascular risks.4 In addition, Dox-mediated cardiotoxicity was found to be cumulative and dose-dependent, with heart suffering from the very first dose and then with accumulative damage for each following anthracycline cycle.5,6 In order to overcome these drawbacks, Dox encapsulating nanoformulations has been proposed as an alternative strategy for its administration. Currently, two doxorubicin liposomal formulations, Caelyx®/Doxil® and Myocet®, and their bioequivalent formulations, are available in the clinic.7,8 The liposomal spatial confinement of Dox allows altering biodistribution of the drug, minimizing its toxicity, increasing the half-life and the therapeutic index and improving the pharmaceutical profile, thus leading to increased patient compliance.9,10 In the last years, other typologies of nanosized structures, including polymer-based aggregates,11 nanofibers,12 nanodisks,13 gold nanoparticles,14 graphene and graphene oxide15,16 and hydrogels (HGs), were evaluated and studied as novel Dox-delivery tools. HGs are self-supporting materials, structured as supramolecular hydrophilic networks associated with the construction of space-spanning structures characterized by a non-Newtonian behavior. The hydrophilic nature of HGs constituents allows entrapping a high volume of biological fluids and water during the swelling process.17 3D-connectivity in physical cross-linked HGs is related to aggregation/interaction of molecules, cooperating through non-covalent interactions or via chemical irreversible bonds. Due to their unique structure, HGs have been exploited as versatile tools for many different biomedical applications (such as 3D-extracellular matrices for wound healing systems,18 cell support for tissue engineering and regeneration,19,20 protein mimetics,21 ophthalmic compatible materials,22 and drug delivery systems23). Submicronization of HGs by top-down methodologies gives the possibility to generate smaller hydrogel particles with a size in the nano-range.24 These hydrogel nanoparticles, named nanogels (NGs), combine the same hydrated inner network of hydrogels with the size of injectable nanoparticles, such as micelles and liposomes.25 Due to their size, nanogel formulations could achieve a fast renal clearance, a feasible penetration through tissue barriers and a prolonged circulation time in the blood stream. Hydrogels and nanogels can be prepared using synthetic26–28 or natural polymers29–32 or peptide sequences.33,34 With respect to polymers, peptides exhibit several advantages such as high biocompatibility, biodegradability and tunability. Fmoc-FF (Nα-fluorenylmethyloxycarbonyl diphenylalanine) hydrogelator (Figure 1) represents one of the most studied peptide sequences for hydrogels formulation, thanks to its capability to gelificate under physiological conditions, required for biomedical applications.35–37 Recently, we have described the preparation of pure Fmoc-FF and mixed Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 (at 2/1 or 1/1, v/v) hydrogels.38 PEG8-(FY)3 and (FY)3 are the PEGylated and the non-PEGylated versions of the (FY)3 hexapeptide, this latter containing as peptide framework the alternation of three tyrosine (Y) and three phenylalanine (F) residues.39 The rheological characterization of the mixed gels pointed out that the presence of PEG and its relative amount into the mixed gel causes a slowing down of the gelation kinetic and a decrease of the gel rigidity. This different behavior was attributed to the high flexibility and conformational freedom of the PEG chain in the mixed hydrogel. Independently of their composition, all the gels showed an in vitro cell viability higher than 95% after 24 h of incubation, thus suggesting their potential applications in the biomedical field.Figure 1Schematic representation of components and methodologies for the formulation of HGs and NGs. Chemical formulas for peptide-based components are reported in the legend. Schematic representation of components and methodologies for the formulation of HGs and NGs. Chemical formulas for peptide-based components are reported in the legend. Here we describe the Dox loading capability of hydrogels and nanogels (both pure and mixed) and their drug release properties over time. We also report the in vitro cytotoxicity of both empty and Dox filled HGs and NGs on MDA-MB-231 breast cancer cell line representative of Triple Negative Breast Cancer (TNBC), the most aggressive breast cancer subtype.40 These results are compared with empty and Dox filled nanogel formulations,41 obtained sub-micronizing hydrogels by a top-down method. We also checked the capability of peptide-based hydrogels to encapsulate supramolecular nanodrugs and we studied their effective cytotoxicity on cells. For instance, as nanodrug we chose the liposomal doxorubicin formulation Doxil. This strategy could allow to obtain a composite drug delivery platform for a multi-stage delivery of Dox.
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Conclusion
The administration of drugs is often affected by several issues related to systemic toxicity, chemical instability and repeated dosing requirement. Hydrogels and nanogels can represent alternative drug delivery vehicles to conventional supramolecular structures, such as vesicles, liposomes and nanostructures already developed and in clinical use. Indeed, macroscopic tridimensional HG networks could allow transepithelial drug delivery or in situ gelation process for the formation of implants, whereas nanosized nanogels could be used for systemic, oral and pulmonary administration of drugs. Due to their high biocompatibility, good biodegradability and tunability, short or ultra-short peptides represent potential attractive alternatives for preparation of HGs and NGs with respect to natural and synthetic polymers. The peptide-based HGs and NGs here formulated are obtained by using the well-known hydrogelator Fmoc-FF alone or in combination with (FY)3 peptide or its PEGylated analogue PEG8-(FY)3 at two different ratios. NGs were prepared starting from the corresponding HGs using a top-down approach in which the macroscopic hydrogel is submicronized and stabilized with commercially available biocompatible surfactants. Due to the common structure of their inner peptidic network, both NGs and HGs allow to efficiently encapsulate Dox. The gelation kinetics (from 24 to 40 minutes) and the drug release (16–28%, after 72 h) from hydrogels are clearly influenced by the hydrogel peptide composition. Analogously, the DLC values (0.137 and 0.093 for pure and mixed NGs, respectively) and the release percentages (20–40%, after 72 h) in NGs are affected by their composition in terms of net charges. Cytotoxicity assays carried out on MDA-MB-231 breast cancer cell line pointed out a high cell viability (>95%) for empty HGs and NGs, and a reduced cell viability (49–57%) for Dox loaded HGs and NGs. Moreover, immunofluorescence assays show a different cellular localization for the Dox delivered by HGs and NGs with respect to the free Dox. Indeed, contrarily to the free Dox, localized in the nucleus, HGs and NGs allow internalization of the drug at the peri-nuclear level and in the cytoplasm, respectively. This result suggests a different internalization mechanism and a different intracellular distribution and Dox release between free Dox and Dox loaded in hydrogels/nanogels. All the in vitro data we collected and analyzed for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 nanogels loaded with Dox suggest their potential use in vivo, by systemic administration, to deliver the cytotoxic drug on tumor tissues and cells. Thanks to its characteristics the new Dox loaded peptide supramolecular systems here described could be considered as promising valid alternatives to the already available liposomal Dox formulations.
[ "Materials and Methods", "Peptide Synthesis", "Hydrogels and Nanogels Formulation", "Doxorubicin Filled Hydrogels and Nanogels", "Doxil Filled Hydrogels", "Circular Dichroism (CD)", "Confocal Analysis", "Dynamic Light Scattering (DLS) Measurements", "Dox Release from Hydrogels and Nanogels", "Cell Line", "Cell Viability Evaluation by MTT", "Immunofluorescence Experiments", "Statistical Analyses", "Results and Discussion", "Formulation and Characterization of Dox Filled HGs", "Formulation and Characterization of Dox Filled NGs", "Drug Release from HGs and NGs", "Cytotoxicity Assays", "Determination of the Cellular Uptake by Immunofluorescence", "Conclusion" ]
[ "Protected Nα-Fmoc-amino acid derivatives, coupling reagents, and Rink amide MBHA (4-methylbenzhydrylamine) resin were purchased from Calbiochem-Novabiochem (Laufelfingen, Switzerland). The monodisperse Fmoc-8-amino-3,6-dioxaoctanoic acid (Fmoc- AdOO-OH, PEG2) was purchased from Neosystem (Strasbourg, France). Lyophilized Fmoc-FF powder was purchased from Bachem (Bubendorf, Switzerland). Doxorubicin chlorohydrate (Dox.HCl) was purchased from Sigma Aldrich (Milan, Italy). Pegylated liposomal Dox (commercial name of Doxil) vials were kindly gifted by the Italian Cancer Institute in Naples (Italy) “Fondazione G. Pascale”. TWEEN®60, SPAN®60, and all other chemicals and solvents were purchased from Sigma-Aldrich, Fluka (Bucks, Switzerland) or LabScan (Stillorgan, Dublin, Ireland) and were used as received unless otherwise stated. All solutions were obtained by weight using doubly distilled water as a solvent. UV-Vis spectra were recorded on a Thermo Fisher Scientific Inc (Wilmington, Delaware USA) Nanodrop 2000c, equipped with a 1.0 cm quartz cuvette (Hellma).\nPeptide Synthesis (FY)3 and its PEGylated analogue PEG8-(FY)3 peptide derivative were synthesized by peptide solid phase synthesis (SPPS) procedures with a Fmoc/tBu chemistry approach as previously described39,42,43 and purified by RP-HPLC chromatography.\n(FY)3 and its PEGylated analogue PEG8-(FY)3 peptide derivative were synthesized by peptide solid phase synthesis (SPPS) procedures with a Fmoc/tBu chemistry approach as previously described39,42,43 and purified by RP-HPLC chromatography.\nHydrogels and Nanogels Formulation Pure Fmoc-FF hydrogel and mixed Fmoc-FF/PEG8-(FY)3 and Fmoc-FF/(FY)3 hydrogels (1/1 or 2/1, v/v) were prepared as previously described using the “solvent-switch method”44 to a final concentration of 0.5 wt%.38 Briefly, each peptide component (Fmoc-FF, (FY)3 and PEG8-(FY)3) was dissolved in dimethyl sulfoxide (DMSO) to a final concentration of 100 mg/mL. Pure Fmoc-FF hydrogel (400 µL) was obtained by diluting 20 µL of the Fmoc-FF stock solution with 380 μL of double distilled water under stirring (5 seconds). Preparation of all the mixed hydrogels was achieved analogously, by combining the peptides stock solutions at the desired volume/volume ratios. Pure and mixed nanogel formulations were prepared as previously described according to the top-down method.41 Briefly, the gel disk obtained into a silicone mold was homogenized at 35,000 min−1 for 5 min into 4 mL of an aqueous solution containing TWEEN 60/SPAN 60 at a w/w ratio of 52/48 (3.10–5 mol) for pure Fmoc-FF NGs and only TWEEN 60 (3.10–5 mol) for mixed Fmoc-FF/(FY)3 NGs. The resulting suspensions were then tip sonicated for 5 min at 9 W.\nPure Fmoc-FF hydrogel and mixed Fmoc-FF/PEG8-(FY)3 and Fmoc-FF/(FY)3 hydrogels (1/1 or 2/1, v/v) were prepared as previously described using the “solvent-switch method”44 to a final concentration of 0.5 wt%.38 Briefly, each peptide component (Fmoc-FF, (FY)3 and PEG8-(FY)3) was dissolved in dimethyl sulfoxide (DMSO) to a final concentration of 100 mg/mL. Pure Fmoc-FF hydrogel (400 µL) was obtained by diluting 20 µL of the Fmoc-FF stock solution with 380 μL of double distilled water under stirring (5 seconds). Preparation of all the mixed hydrogels was achieved analogously, by combining the peptides stock solutions at the desired volume/volume ratios. Pure and mixed nanogel formulations were prepared as previously described according to the top-down method.41 Briefly, the gel disk obtained into a silicone mold was homogenized at 35,000 min−1 for 5 min into 4 mL of an aqueous solution containing TWEEN 60/SPAN 60 at a w/w ratio of 52/48 (3.10–5 mol) for pure Fmoc-FF NGs and only TWEEN 60 (3.10–5 mol) for mixed Fmoc-FF/(FY)3 NGs. The resulting suspensions were then tip sonicated for 5 min at 9 W.\nDoxorubicin Filled Hydrogels and Nanogels Dox filled hydrogels were prepared as described above by adding 380 µL of an aqueous Dox solution at a concentration of 4.0.10–3 mol L−1 to the peptide stock solutions. Dox filled nanogels were prepared according to the top-down methodology as previously described.41 Shorty, a disk of pure or mixed hydrogel loaded with Dox was prepared adding the stock solution of peptide (100 mg/mL) to 900 μL of an aqueous solution of Dox (0.018 mol L−1), which allows to reach a drug weight/lipid weight ratio of 0.250. Then, the hydrogel disk was homogenized, and tip sonicated into 4 mL of TWEEN 60/SPAN 60 mixture or TWEEN 60, according to the empty formulation. Purification of Dox filled nanogels from free Dox was achieved by gel filtration on a pre-packed column Sephadex G-50. The drug loading content (DLC), defined as gDox encapsulated/g(surfactant+peptide), was quantified by subtraction of the free Dox from the total amount of loaded Dox. The Dox concentration was determined by UV-Vis spectroscopy using calibration curves obtained by measuring absorbance at λ = 480 nm.\nDox filled hydrogels were prepared as described above by adding 380 µL of an aqueous Dox solution at a concentration of 4.0.10–3 mol L−1 to the peptide stock solutions. Dox filled nanogels were prepared according to the top-down methodology as previously described.41 Shorty, a disk of pure or mixed hydrogel loaded with Dox was prepared adding the stock solution of peptide (100 mg/mL) to 900 μL of an aqueous solution of Dox (0.018 mol L−1), which allows to reach a drug weight/lipid weight ratio of 0.250. Then, the hydrogel disk was homogenized, and tip sonicated into 4 mL of TWEEN 60/SPAN 60 mixture or TWEEN 60, according to the empty formulation. Purification of Dox filled nanogels from free Dox was achieved by gel filtration on a pre-packed column Sephadex G-50. The drug loading content (DLC), defined as gDox encapsulated/g(surfactant+peptide), was quantified by subtraction of the free Dox from the total amount of loaded Dox. The Dox concentration was determined by UV-Vis spectroscopy using calibration curves obtained by measuring absorbance at λ = 480 nm.\nDoxil Filled Hydrogels Doxil filled hydrogels were prepared analogously to Dox filled ones, by adding 380 µL of the commercial Doxil solution opportunely diluted in order to achieve the same Dox concentration (4.0.10–3 mol L−1) that was in the HGs.\nDoxil filled hydrogels were prepared analogously to Dox filled ones, by adding 380 µL of the commercial Doxil solution opportunely diluted in order to achieve the same Dox concentration (4.0.10–3 mol L−1) that was in the HGs.\nCircular Dichroism (CD) Far-UV CD spectra of Dox filled hydrogels and nanogels were collected on a Jasco J-810 spectropolarimeter equipped with a NesLab RTE111 thermal controller unit at 25°C. 100 µL of a hydrated DMSO stock solution (immediately after its generation) were placed on a 0.1 mm quartz cell. The measurements were recorded as function of the time (every 8 minutes) in the range of wavelength between 300 and 200 nm. Other experimental settings were: scan speed = 50 nm min−1, sensitivity = 10 mdeg, time constant = 16 s, bandwidth = 1 nm. Each spectrum was obtained by averaging three scans. All the spectra are reported in optical density (O.D.).\nFar-UV CD spectra of Dox filled hydrogels and nanogels were collected on a Jasco J-810 spectropolarimeter equipped with a NesLab RTE111 thermal controller unit at 25°C. 100 µL of a hydrated DMSO stock solution (immediately after its generation) were placed on a 0.1 mm quartz cell. The measurements were recorded as function of the time (every 8 minutes) in the range of wavelength between 300 and 200 nm. Other experimental settings were: scan speed = 50 nm min−1, sensitivity = 10 mdeg, time constant = 16 s, bandwidth = 1 nm. Each spectrum was obtained by averaging three scans. All the spectra are reported in optical density (O.D.).\nConfocal Analysis For confocal microscopy, Dox filled hydrogels were drop-casted and spread on a glass slide, air-dried at room temperature, and examined by confocal microscopy. Confocal images were obtained with a Leica TCS-SMD-SP5 confocal microscope (λexc = 488 nm and λem = 505–600 nm). 0.8-µm thick optical slices were acquired with a 63× or 40×/1.4 NA objective.\nFor confocal microscopy, Dox filled hydrogels were drop-casted and spread on a glass slide, air-dried at room temperature, and examined by confocal microscopy. Confocal images were obtained with a Leica TCS-SMD-SP5 confocal microscope (λexc = 488 nm and λem = 505–600 nm). 0.8-µm thick optical slices were acquired with a 63× or 40×/1.4 NA objective.\nDynamic Light Scattering (DLS) Measurements Mean diameters and diffusion coefficients (D) of empty and Dox filled NGs were estimated by DLS using a Zetasizer Nano ZS (Malvern Instruments, Westborough, MA). Instrumental settings for the measurements are a backscatter detector at 173° in automatic modality, room temperature and disposable sizing cuvette as cell. DLS measurements in triplicate were carried out on aqueous samples after centrifugation at room temperature at 13,000 rpm for 5 minutes.\nMean diameters and diffusion coefficients (D) of empty and Dox filled NGs were estimated by DLS using a Zetasizer Nano ZS (Malvern Instruments, Westborough, MA). Instrumental settings for the measurements are a backscatter detector at 173° in automatic modality, room temperature and disposable sizing cuvette as cell. DLS measurements in triplicate were carried out on aqueous samples after centrifugation at room temperature at 13,000 rpm for 5 minutes.\nDox Release from Hydrogels and Nanogels Dox and Doxil release from hydrogels were evaluated in a conic tube (1.5 mL) using 400 µL of drug filled hydrogels (0.5% wt) adding, on the top of them, 800 µL of 0.100 mol L−1 phosphate buffer. At each time-point, 400 µL of this solution was removed and replaced with an equal fresh aliquot. Released Dox was quantified by UV-Vis spectrum of the supernatant at 480 nm. All the release experiments were performed in triplicates. The extent of Dox release was reported as percentage of the ratio between the amount of released drug and the total quantity of drug initially loaded into hydrogels. Dox release from nanogels was achieved using the well-known dialysis method.45 Briefly, Dox loaded nanogel suspension (1.0 mL) was placed into a dialysis bag (MW cut-off = 3500 Da). This bag was immersed under stirring for 72 h, at 37°C into 20 mL of phosphate buffer. Then, 2 mL of the dialyzed solution was replaced with an equal amount of fresh solution at different time points. Fluorescence measurements of each fraction of the dialyzed solution were recorded at room temperature with a spectrofluorophotometer Jasco (Model FP-750, Japan) in a quartz cell with 1.0 cm path length. The other settings were as follows: excitation and emission bandwidths = 5 nm, recording speed = 125 nm/min, and excitation wavelength = 480 nm, emission range from 490 to 700 nm. The amount of doxorubicin contained in each fraction was estimated using an analytical titration curve previously recorded for the free Dox in the same spectral range. Analogously to HGs, Dox release profile from NGs was reported as percentage of released drug/total drug loaded into NGs.\nDox and Doxil release from hydrogels were evaluated in a conic tube (1.5 mL) using 400 µL of drug filled hydrogels (0.5% wt) adding, on the top of them, 800 µL of 0.100 mol L−1 phosphate buffer. At each time-point, 400 µL of this solution was removed and replaced with an equal fresh aliquot. Released Dox was quantified by UV-Vis spectrum of the supernatant at 480 nm. All the release experiments were performed in triplicates. The extent of Dox release was reported as percentage of the ratio between the amount of released drug and the total quantity of drug initially loaded into hydrogels. Dox release from nanogels was achieved using the well-known dialysis method.45 Briefly, Dox loaded nanogel suspension (1.0 mL) was placed into a dialysis bag (MW cut-off = 3500 Da). This bag was immersed under stirring for 72 h, at 37°C into 20 mL of phosphate buffer. Then, 2 mL of the dialyzed solution was replaced with an equal amount of fresh solution at different time points. Fluorescence measurements of each fraction of the dialyzed solution were recorded at room temperature with a spectrofluorophotometer Jasco (Model FP-750, Japan) in a quartz cell with 1.0 cm path length. The other settings were as follows: excitation and emission bandwidths = 5 nm, recording speed = 125 nm/min, and excitation wavelength = 480 nm, emission range from 490 to 700 nm. The amount of doxorubicin contained in each fraction was estimated using an analytical titration curve previously recorded for the free Dox in the same spectral range. Analogously to HGs, Dox release profile from NGs was reported as percentage of released drug/total drug loaded into NGs.\nCell Line Human breast cancer cell line MDA-MB-231 was obtained from IRCCS-SDN Biobank (10.5334/ojb.26) and growth in Dulbecco’s Modified Medium (DMEM) supplemented with 10% fetal bovine serum (FBS) and 1% GlutaMAX. Cells were incubated at 37°C and 5% CO2 and seeded in T-25 culture flasks.\nHuman breast cancer cell line MDA-MB-231 was obtained from IRCCS-SDN Biobank (10.5334/ojb.26) and growth in Dulbecco’s Modified Medium (DMEM) supplemented with 10% fetal bovine serum (FBS) and 1% GlutaMAX. Cells were incubated at 37°C and 5% CO2 and seeded in T-25 culture flasks.\nCell Viability Evaluation by MTT For MTT assays (Sigma Aldrich, Germany), MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well. After 24 h free Dox at 1µmol L−1, nanogels and hydrogels (these latter preformed into a hollow plastic chamber sealed at one end with a porous membrane) were added to the wells. Cells were treated with the hydrogels for 24 h and with nanogel solutions for 72 h. At the end of the treatment, cell viability was assessed by the MTT assay. For the IC50 determination of Dox, MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well and treated with different concentrations (0.25, 0.5, 1, 2 and 4 µmol L−1) of Dox for 24 h. At the end of the treatment, cell viability was assessed by the MTT assay. In brief, MTT, dissolved in DMEM in the absence of phenol red (Sigma-Aldrich), was added to the cells at a final concentration of 0.5 mg/mL. After 4 h incubation at 37°C, the culture medium was removed, and the resulting formazan salts were dissolved by adding isopropanol containing 0.1 mol L−1 HCl and 10% Triton-X100. Absorbance values of blue formazan were determined at 490 nm using an automatic plate reader (EL 800, Biotek). Cell survival was expressed as percentage of viable cells in the presence of hydrogels or nanogels, compared to control cells grown in their absence. MTT assay was repeated twice with similar results.\nFor MTT assays (Sigma Aldrich, Germany), MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well. After 24 h free Dox at 1µmol L−1, nanogels and hydrogels (these latter preformed into a hollow plastic chamber sealed at one end with a porous membrane) were added to the wells. Cells were treated with the hydrogels for 24 h and with nanogel solutions for 72 h. At the end of the treatment, cell viability was assessed by the MTT assay. For the IC50 determination of Dox, MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well and treated with different concentrations (0.25, 0.5, 1, 2 and 4 µmol L−1) of Dox for 24 h. At the end of the treatment, cell viability was assessed by the MTT assay. In brief, MTT, dissolved in DMEM in the absence of phenol red (Sigma-Aldrich), was added to the cells at a final concentration of 0.5 mg/mL. After 4 h incubation at 37°C, the culture medium was removed, and the resulting formazan salts were dissolved by adding isopropanol containing 0.1 mol L−1 HCl and 10% Triton-X100. Absorbance values of blue formazan were determined at 490 nm using an automatic plate reader (EL 800, Biotek). Cell survival was expressed as percentage of viable cells in the presence of hydrogels or nanogels, compared to control cells grown in their absence. MTT assay was repeated twice with similar results.\nImmunofluorescence Experiments MDA-MB-231 cells were treated for 24 h with 1µmol L−1 free Dox or 1.13 mmol L−1 Dox loaded Fmoc-FF/(FY)3 hydrogels and Fmoc-FF/(FY)3 nanogels. Cells were fixed at -20 °C for 15 minutes with a -80 °C pre-cooled solution of methanol/acetone (1/1, v/v). Subsequently, cells were subjected to blocking with solution of 3% (w/v) BSA in PBS pH 7.4 at room temperature (RT). Anti B-actin (A2228, Sigma Aldrich) monoclonal antibody was diluted 1:200 in a solution of PBS + 1% (w/v) BSA and then all slides were incubated for 4 h at + 4°C. After three washing steps in PBS for 5 minutes each, FITC-conjugated anti-mouse secondary antibody (ab7064, Abcam, UK) diluted 1:400 in a solution of PBS + 1% (w/v) BSA was incubated for 1 h at 4°C in the dark. After additional three washing steps in PBS, a solution of 4′,6-Diamidino-2-Phenylindole, Dihydrochloride (DAPI, Thermo Fischer Scientific D1306) diluted 35,000-fold in PBS was used and it was left to act for 10 minutes at RT in the dark to color the nuclei. Images were obtained using an automated upright microscope system (Leica DM5500 B) coupled with Leica Cytovision software.\nStatistical Analyses All statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified.\nAll statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified.\nMDA-MB-231 cells were treated for 24 h with 1µmol L−1 free Dox or 1.13 mmol L−1 Dox loaded Fmoc-FF/(FY)3 hydrogels and Fmoc-FF/(FY)3 nanogels. Cells were fixed at -20 °C for 15 minutes with a -80 °C pre-cooled solution of methanol/acetone (1/1, v/v). Subsequently, cells were subjected to blocking with solution of 3% (w/v) BSA in PBS pH 7.4 at room temperature (RT). Anti B-actin (A2228, Sigma Aldrich) monoclonal antibody was diluted 1:200 in a solution of PBS + 1% (w/v) BSA and then all slides were incubated for 4 h at + 4°C. After three washing steps in PBS for 5 minutes each, FITC-conjugated anti-mouse secondary antibody (ab7064, Abcam, UK) diluted 1:400 in a solution of PBS + 1% (w/v) BSA was incubated for 1 h at 4°C in the dark. After additional three washing steps in PBS, a solution of 4′,6-Diamidino-2-Phenylindole, Dihydrochloride (DAPI, Thermo Fischer Scientific D1306) diluted 35,000-fold in PBS was used and it was left to act for 10 minutes at RT in the dark to color the nuclei. Images were obtained using an automated upright microscope system (Leica DM5500 B) coupled with Leica Cytovision software.\nStatistical Analyses All statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified.\nAll statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified.", "(FY)3 and its PEGylated analogue PEG8-(FY)3 peptide derivative were synthesized by peptide solid phase synthesis (SPPS) procedures with a Fmoc/tBu chemistry approach as previously described39,42,43 and purified by RP-HPLC chromatography.", "Pure Fmoc-FF hydrogel and mixed Fmoc-FF/PEG8-(FY)3 and Fmoc-FF/(FY)3 hydrogels (1/1 or 2/1, v/v) were prepared as previously described using the “solvent-switch method”44 to a final concentration of 0.5 wt%.38 Briefly, each peptide component (Fmoc-FF, (FY)3 and PEG8-(FY)3) was dissolved in dimethyl sulfoxide (DMSO) to a final concentration of 100 mg/mL. Pure Fmoc-FF hydrogel (400 µL) was obtained by diluting 20 µL of the Fmoc-FF stock solution with 380 μL of double distilled water under stirring (5 seconds). Preparation of all the mixed hydrogels was achieved analogously, by combining the peptides stock solutions at the desired volume/volume ratios. Pure and mixed nanogel formulations were prepared as previously described according to the top-down method.41 Briefly, the gel disk obtained into a silicone mold was homogenized at 35,000 min−1 for 5 min into 4 mL of an aqueous solution containing TWEEN 60/SPAN 60 at a w/w ratio of 52/48 (3.10–5 mol) for pure Fmoc-FF NGs and only TWEEN 60 (3.10–5 mol) for mixed Fmoc-FF/(FY)3 NGs. The resulting suspensions were then tip sonicated for 5 min at 9 W.", "Dox filled hydrogels were prepared as described above by adding 380 µL of an aqueous Dox solution at a concentration of 4.0.10–3 mol L−1 to the peptide stock solutions. Dox filled nanogels were prepared according to the top-down methodology as previously described.41 Shorty, a disk of pure or mixed hydrogel loaded with Dox was prepared adding the stock solution of peptide (100 mg/mL) to 900 μL of an aqueous solution of Dox (0.018 mol L−1), which allows to reach a drug weight/lipid weight ratio of 0.250. Then, the hydrogel disk was homogenized, and tip sonicated into 4 mL of TWEEN 60/SPAN 60 mixture or TWEEN 60, according to the empty formulation. Purification of Dox filled nanogels from free Dox was achieved by gel filtration on a pre-packed column Sephadex G-50. The drug loading content (DLC), defined as gDox encapsulated/g(surfactant+peptide), was quantified by subtraction of the free Dox from the total amount of loaded Dox. The Dox concentration was determined by UV-Vis spectroscopy using calibration curves obtained by measuring absorbance at λ = 480 nm.", "Doxil filled hydrogels were prepared analogously to Dox filled ones, by adding 380 µL of the commercial Doxil solution opportunely diluted in order to achieve the same Dox concentration (4.0.10–3 mol L−1) that was in the HGs.", "Far-UV CD spectra of Dox filled hydrogels and nanogels were collected on a Jasco J-810 spectropolarimeter equipped with a NesLab RTE111 thermal controller unit at 25°C. 100 µL of a hydrated DMSO stock solution (immediately after its generation) were placed on a 0.1 mm quartz cell. The measurements were recorded as function of the time (every 8 minutes) in the range of wavelength between 300 and 200 nm. Other experimental settings were: scan speed = 50 nm min−1, sensitivity = 10 mdeg, time constant = 16 s, bandwidth = 1 nm. Each spectrum was obtained by averaging three scans. All the spectra are reported in optical density (O.D.).", "For confocal microscopy, Dox filled hydrogels were drop-casted and spread on a glass slide, air-dried at room temperature, and examined by confocal microscopy. Confocal images were obtained with a Leica TCS-SMD-SP5 confocal microscope (λexc = 488 nm and λem = 505–600 nm). 0.8-µm thick optical slices were acquired with a 63× or 40×/1.4 NA objective.", "Mean diameters and diffusion coefficients (D) of empty and Dox filled NGs were estimated by DLS using a Zetasizer Nano ZS (Malvern Instruments, Westborough, MA). Instrumental settings for the measurements are a backscatter detector at 173° in automatic modality, room temperature and disposable sizing cuvette as cell. DLS measurements in triplicate were carried out on aqueous samples after centrifugation at room temperature at 13,000 rpm for 5 minutes.", "Dox and Doxil release from hydrogels were evaluated in a conic tube (1.5 mL) using 400 µL of drug filled hydrogels (0.5% wt) adding, on the top of them, 800 µL of 0.100 mol L−1 phosphate buffer. At each time-point, 400 µL of this solution was removed and replaced with an equal fresh aliquot. Released Dox was quantified by UV-Vis spectrum of the supernatant at 480 nm. All the release experiments were performed in triplicates. The extent of Dox release was reported as percentage of the ratio between the amount of released drug and the total quantity of drug initially loaded into hydrogels. Dox release from nanogels was achieved using the well-known dialysis method.45 Briefly, Dox loaded nanogel suspension (1.0 mL) was placed into a dialysis bag (MW cut-off = 3500 Da). This bag was immersed under stirring for 72 h, at 37°C into 20 mL of phosphate buffer. Then, 2 mL of the dialyzed solution was replaced with an equal amount of fresh solution at different time points. Fluorescence measurements of each fraction of the dialyzed solution were recorded at room temperature with a spectrofluorophotometer Jasco (Model FP-750, Japan) in a quartz cell with 1.0 cm path length. The other settings were as follows: excitation and emission bandwidths = 5 nm, recording speed = 125 nm/min, and excitation wavelength = 480 nm, emission range from 490 to 700 nm. The amount of doxorubicin contained in each fraction was estimated using an analytical titration curve previously recorded for the free Dox in the same spectral range. Analogously to HGs, Dox release profile from NGs was reported as percentage of released drug/total drug loaded into NGs.", "Human breast cancer cell line MDA-MB-231 was obtained from IRCCS-SDN Biobank (10.5334/ojb.26) and growth in Dulbecco’s Modified Medium (DMEM) supplemented with 10% fetal bovine serum (FBS) and 1% GlutaMAX. Cells were incubated at 37°C and 5% CO2 and seeded in T-25 culture flasks.", "For MTT assays (Sigma Aldrich, Germany), MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well. After 24 h free Dox at 1µmol L−1, nanogels and hydrogels (these latter preformed into a hollow plastic chamber sealed at one end with a porous membrane) were added to the wells. Cells were treated with the hydrogels for 24 h and with nanogel solutions for 72 h. At the end of the treatment, cell viability was assessed by the MTT assay. For the IC50 determination of Dox, MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well and treated with different concentrations (0.25, 0.5, 1, 2 and 4 µmol L−1) of Dox for 24 h. At the end of the treatment, cell viability was assessed by the MTT assay. In brief, MTT, dissolved in DMEM in the absence of phenol red (Sigma-Aldrich), was added to the cells at a final concentration of 0.5 mg/mL. After 4 h incubation at 37°C, the culture medium was removed, and the resulting formazan salts were dissolved by adding isopropanol containing 0.1 mol L−1 HCl and 10% Triton-X100. Absorbance values of blue formazan were determined at 490 nm using an automatic plate reader (EL 800, Biotek). Cell survival was expressed as percentage of viable cells in the presence of hydrogels or nanogels, compared to control cells grown in their absence. MTT assay was repeated twice with similar results.", "MDA-MB-231 cells were treated for 24 h with 1µmol L−1 free Dox or 1.13 mmol L−1 Dox loaded Fmoc-FF/(FY)3 hydrogels and Fmoc-FF/(FY)3 nanogels. Cells were fixed at -20 °C for 15 minutes with a -80 °C pre-cooled solution of methanol/acetone (1/1, v/v). Subsequently, cells were subjected to blocking with solution of 3% (w/v) BSA in PBS pH 7.4 at room temperature (RT). Anti B-actin (A2228, Sigma Aldrich) monoclonal antibody was diluted 1:200 in a solution of PBS + 1% (w/v) BSA and then all slides were incubated for 4 h at + 4°C. After three washing steps in PBS for 5 minutes each, FITC-conjugated anti-mouse secondary antibody (ab7064, Abcam, UK) diluted 1:400 in a solution of PBS + 1% (w/v) BSA was incubated for 1 h at 4°C in the dark. After additional three washing steps in PBS, a solution of 4′,6-Diamidino-2-Phenylindole, Dihydrochloride (DAPI, Thermo Fischer Scientific D1306) diluted 35,000-fold in PBS was used and it was left to act for 10 minutes at RT in the dark to color the nuclei. Images were obtained using an automated upright microscope system (Leica DM5500 B) coupled with Leica Cytovision software.\nStatistical Analyses All statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified.\nAll statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified.", "All statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified.", "Classical administrations of active pharmaceutical ingredients (APIs) are affected by issues related to systemic toxicity, drug chemical instability and repeated dosing requirement. As previously mentioned, HGs offer convenient drug delivery approaches, allowing them to overcome these drawbacks thanks to their tunable features, modular degradability and easy formulation. Macroscopically, hydrogel-based materials belong to two different categories based on their size: hydrogels (HGs) and nanogels (NGs). The specific size-feature determines the route of administration: transepithelial drug delivery or in situ gelation process of implants for HGs and systemic, oral and pulmonary administration of APIs for nanogels.46 The knowledge about the encapsulation procedures, the efficiency of drugs loading, and the cytotoxicity profiles can steer the development of efficient vehicles. For instance, swollen HGs matrices can be loaded in different ways, acting at macroscopic level, on the fibrillary network, the mesh size or at molecular scales. Moreover, the drug release can be differently modulated according to covalent or non-covalent approaches, in which drug molecules are chemically bound on the HG matrix by stable or cleavable linkers, or they can establish electrostatic interactions with HGs building blocks. These different drug loading strategies could affect the experimental conditions of preparation (eg, solvents, pH and salt content) and in turn the biological profile of the resulting vehicle. In this perspective, comparative studies on analogies and differences between HGs and NGs may assume a great importance.\nFormulation and Characterization of Dox Filled HGs HGs filled with the anticancer drug Dox were prepared according to the “solvent-switch” method.41 This method consists of the addition of an aqueous solution of Dox directly into the stock peptide solution (100 mg/mL in DMSO). After few seconds of vortex, the resulting opaque metastable mixture is vertically incubated at room temperature until the formation of a limpid, translucent self-supportive hydrogel. Dox filled hydrogels Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 at two different ratios (1/1 or 2/1, v/v) were successfully formulated. Instead, in the same experimental conditions, Dox filled Fmoc-FF hydrogel appears not completely homogenous (see Figure S1). On the other hand, we observed a progressive improvement of the hydrogel homogeneity by increasing the amount (up to 0.018 mol L−1) of Dox to encapsulate (Figure S1). This behavior could be attributed to a shield effect of the charges occurring between the drug and the peptidic matrix. Although Dox filled Fmoc-FF hydrogel can be prepared, the Dox concentration is too high compared with mixed HGs and, for this reason, we did not further focus our attention on this sample. For mixed HGs, no syneresis was detected after 10 days. This specific no water-loss is an important advantage offered by HGs, thus allowing a precise modulation of water-soluble drug loaded in the system. According to this experimental evidence, we can assume that all the Dox was efficiently and quantitatively entrapped in the hydrogel matrix.\nThe resulting Dox filled hydrogels were further characterized in their xerogel form by confocal microscopy. Confocal images of one sample (Fmoc-FF/(FY)3, 1/1) are reported in Figure 2A and B. These images clearly show the characteristic intricate network of entangled fibers,47 and their red color suggests the tight interaction of Dox with the network constituents. The amount of drug we were able to encapsulate in mixed HGs was 2.32 mg/mL. This quantity corresponds to a drug loading content (DLC) of 0.440 and to an encapsulation ratio (ER%, defined as the weight percentage of drug encapsulated in the HG on the total drug added during preparation) of 100%, respectively. This high encapsulation degree can be explained as consequence of the electrostatic interactions between the positive charge on the drug and the negative one present on the C-terminus of the Fmoc-FF peptide. Analogously to free Dox, also Doxil was efficiently encapsulated into mixed hydrogels at the same drug concentration. This is surprising due to the negative Z potential value (see Figure S2) we measured for Doxil (ζ ~ -11 mV) into the experimental conditions ([Dox] =1.13 mmol L−1) used to achieve the encapsulation into the hydrogel.Figure 2Characterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time.\nCharacterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time.\nA macroscopic evaluation of the gelation kinetics for mixed drug-filled hydrogels can be done by simply following the opaque-to-transparent optic transition. As previously observed for the corresponding empty systems, a different time (between 20 and 40 minutes) is required for the gelation process of each mixed hydrogel.38 In particular, we observed a more rapid formation for mixed HGs containing PEG8-(FY)3 (24 and 30 minutes for 2/1 and 1/1, respectively) with respect to those containing (FY)3 (35 and 40 minutes for 2/1 and 1/1, respectively). Analogously to empty matrices, the gelation kinetics of Dox filled HGs is faster by increasing the amount of the Fmoc-FF. This result may be ascribable to the capability of Fmoc-FF to gelificate in a very quick time (~2 min).35 On the contrary, we observe a faster gelation for HGs containing PEG in respect to HGs lacking polymer. This result is probably due to the additional interactions occurring between the hydrophilic PEG structure and the hydrophilic daunosamine moiety of Dox. As an alternative, gelation kinetics of hydrogels can be more accurately determined by following other structural or mechanical transitions occurring over time, related to alteration of UV-Vis absorbance, storage modulus (G’) or the dichroic signal.48 In this perspective, we recorded the CD spectra of Dox filled hydrogels at several time points in the spectral region between 300 and 200 nm (see Figure 2C–F). From the inspection of all the CD spectra, it clearly appears an evolution of the dichroic signal towards a stable state, in which we can assume that the HG has reached its final arrangement. The co-existence of several conformational states in the solution is also confirmed by isosbestic points between 220 and 240 nm and around 267 nm for PEG8-(FY)3 containing HGs. By plotting the optical density (OD) in the relative minima for each sample, we were able to extrapolate the gelation times (see Figure S3). These times, evaluated from the CD measurements, were found in good agreement with the gelation times observed following the transition from the opaque to limpid form.\nHGs filled with the anticancer drug Dox were prepared according to the “solvent-switch” method.41 This method consists of the addition of an aqueous solution of Dox directly into the stock peptide solution (100 mg/mL in DMSO). After few seconds of vortex, the resulting opaque metastable mixture is vertically incubated at room temperature until the formation of a limpid, translucent self-supportive hydrogel. Dox filled hydrogels Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 at two different ratios (1/1 or 2/1, v/v) were successfully formulated. Instead, in the same experimental conditions, Dox filled Fmoc-FF hydrogel appears not completely homogenous (see Figure S1). On the other hand, we observed a progressive improvement of the hydrogel homogeneity by increasing the amount (up to 0.018 mol L−1) of Dox to encapsulate (Figure S1). This behavior could be attributed to a shield effect of the charges occurring between the drug and the peptidic matrix. Although Dox filled Fmoc-FF hydrogel can be prepared, the Dox concentration is too high compared with mixed HGs and, for this reason, we did not further focus our attention on this sample. For mixed HGs, no syneresis was detected after 10 days. This specific no water-loss is an important advantage offered by HGs, thus allowing a precise modulation of water-soluble drug loaded in the system. According to this experimental evidence, we can assume that all the Dox was efficiently and quantitatively entrapped in the hydrogel matrix.\nThe resulting Dox filled hydrogels were further characterized in their xerogel form by confocal microscopy. Confocal images of one sample (Fmoc-FF/(FY)3, 1/1) are reported in Figure 2A and B. These images clearly show the characteristic intricate network of entangled fibers,47 and their red color suggests the tight interaction of Dox with the network constituents. The amount of drug we were able to encapsulate in mixed HGs was 2.32 mg/mL. This quantity corresponds to a drug loading content (DLC) of 0.440 and to an encapsulation ratio (ER%, defined as the weight percentage of drug encapsulated in the HG on the total drug added during preparation) of 100%, respectively. This high encapsulation degree can be explained as consequence of the electrostatic interactions between the positive charge on the drug and the negative one present on the C-terminus of the Fmoc-FF peptide. Analogously to free Dox, also Doxil was efficiently encapsulated into mixed hydrogels at the same drug concentration. This is surprising due to the negative Z potential value (see Figure S2) we measured for Doxil (ζ ~ -11 mV) into the experimental conditions ([Dox] =1.13 mmol L−1) used to achieve the encapsulation into the hydrogel.Figure 2Characterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time.\nCharacterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time.\nA macroscopic evaluation of the gelation kinetics for mixed drug-filled hydrogels can be done by simply following the opaque-to-transparent optic transition. As previously observed for the corresponding empty systems, a different time (between 20 and 40 minutes) is required for the gelation process of each mixed hydrogel.38 In particular, we observed a more rapid formation for mixed HGs containing PEG8-(FY)3 (24 and 30 minutes for 2/1 and 1/1, respectively) with respect to those containing (FY)3 (35 and 40 minutes for 2/1 and 1/1, respectively). Analogously to empty matrices, the gelation kinetics of Dox filled HGs is faster by increasing the amount of the Fmoc-FF. This result may be ascribable to the capability of Fmoc-FF to gelificate in a very quick time (~2 min).35 On the contrary, we observe a faster gelation for HGs containing PEG in respect to HGs lacking polymer. This result is probably due to the additional interactions occurring between the hydrophilic PEG structure and the hydrophilic daunosamine moiety of Dox. As an alternative, gelation kinetics of hydrogels can be more accurately determined by following other structural or mechanical transitions occurring over time, related to alteration of UV-Vis absorbance, storage modulus (G’) or the dichroic signal.48 In this perspective, we recorded the CD spectra of Dox filled hydrogels at several time points in the spectral region between 300 and 200 nm (see Figure 2C–F). From the inspection of all the CD spectra, it clearly appears an evolution of the dichroic signal towards a stable state, in which we can assume that the HG has reached its final arrangement. The co-existence of several conformational states in the solution is also confirmed by isosbestic points between 220 and 240 nm and around 267 nm for PEG8-(FY)3 containing HGs. By plotting the optical density (OD) in the relative minima for each sample, we were able to extrapolate the gelation times (see Figure S3). These times, evaluated from the CD measurements, were found in good agreement with the gelation times observed following the transition from the opaque to limpid form.\nFormulation and Characterization of Dox Filled NGs The preparation of pure Fmoc-FF and mixed nanogels loaded with Dox was achieved according to the top-down methodology.41 In this approach, macroscopic discs of hydrogels (1.0%wt) loaded with Dox (0.018 mol L−1) were prepared into silicone molds according to the above-described protocol. Successively, these discs were homogenized into an aqueous solution of TWEEN®60 (polyethylene glycol sorbitan monostearate) and SPAN®60 (Sorbitan stearate) as stabilizing agents. The combination of this couple of surfactants permits to achieve a hydrophilic/lipophilic balance (HLB) value ranged between 4.7 and 14.9. Due to the similar behavior exhibited by the four mixed HG formulations in terms of DLC and stability, we decided to prepare only one of the four mixed formulations, ie, Fmoc-FF/(FY)3 (1/1, v/v). The best Dox filled NG formulations, in terms of size and stability, were obtained using TWEEN®60/SPAN®60 at 58/42 ratio (HLB= 10) or at 100/0 ratio (HLB= 14.9) for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v), respectively. Indeed, contrarily to the pure Fmoc-FF formulation, the mixed one was found unstable when prepared with a value of HLB = 10. The resulting suspensions, further submicronized using tip sonicator, were purified from free drug using size exclusion chromatography. The red coloration of purified formulations macroscopically suggested the incorporation of the anthracycline in the NGs vehicle. Due to its spectroscopic features (λabs = 480 nm; λem= 560, 590 nm), the amount of Dox encapsulated was analytically monitored and evaluated by UV-Vis spectroscopy, by checking the absorbance in the maximum at λabs= 480 nm. DLC and ER% values for pure Fmoc-FF nanogel were 0.137% and 63%, respectively. This DLC value is similar to that of the commercially available liposomal formulations Myocet (DLC=0.127) and Doxil (DLC=0.250). Therefore, the insertion of (FY)3 peptide in the preparation causes a slight decrease of both the DLC (0.093) and the ER% (45%) with respect to the pure formulation. The lower encapsulation degree observed for mixed NGs versus pure ones can be explained considering the different amount of the net negative charge present in the two nanogels. Indeed, the peptide (FY)3 has an amidated C-terminus, significantly less acidic compared to the carboxylic one, and a basic non protected N-terminal amino group that can support a positive charge after protonation. This latter phenomenon contributes to the reduction of the total negative charge in the inner sphere of NGs, which determines lower attractive forces between the drug and the peptide system. The size of empty and filled Fmoc-FF/(FY)3 NGs, measured by Dynamic Light Scattering (DLS), was 168 and 214 nm, respectively (see Figure 3). This increase in size (~22%) is comparable to the increase of dimensions previously observed for empty (174 nm) and filled (241 nm) Fmoc-FF NGs.Figure 3DLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method.\nDLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method.\nThe preparation of pure Fmoc-FF and mixed nanogels loaded with Dox was achieved according to the top-down methodology.41 In this approach, macroscopic discs of hydrogels (1.0%wt) loaded with Dox (0.018 mol L−1) were prepared into silicone molds according to the above-described protocol. Successively, these discs were homogenized into an aqueous solution of TWEEN®60 (polyethylene glycol sorbitan monostearate) and SPAN®60 (Sorbitan stearate) as stabilizing agents. The combination of this couple of surfactants permits to achieve a hydrophilic/lipophilic balance (HLB) value ranged between 4.7 and 14.9. Due to the similar behavior exhibited by the four mixed HG formulations in terms of DLC and stability, we decided to prepare only one of the four mixed formulations, ie, Fmoc-FF/(FY)3 (1/1, v/v). The best Dox filled NG formulations, in terms of size and stability, were obtained using TWEEN®60/SPAN®60 at 58/42 ratio (HLB= 10) or at 100/0 ratio (HLB= 14.9) for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v), respectively. Indeed, contrarily to the pure Fmoc-FF formulation, the mixed one was found unstable when prepared with a value of HLB = 10. The resulting suspensions, further submicronized using tip sonicator, were purified from free drug using size exclusion chromatography. The red coloration of purified formulations macroscopically suggested the incorporation of the anthracycline in the NGs vehicle. Due to its spectroscopic features (λabs = 480 nm; λem= 560, 590 nm), the amount of Dox encapsulated was analytically monitored and evaluated by UV-Vis spectroscopy, by checking the absorbance in the maximum at λabs= 480 nm. DLC and ER% values for pure Fmoc-FF nanogel were 0.137% and 63%, respectively. This DLC value is similar to that of the commercially available liposomal formulations Myocet (DLC=0.127) and Doxil (DLC=0.250). Therefore, the insertion of (FY)3 peptide in the preparation causes a slight decrease of both the DLC (0.093) and the ER% (45%) with respect to the pure formulation. The lower encapsulation degree observed for mixed NGs versus pure ones can be explained considering the different amount of the net negative charge present in the two nanogels. Indeed, the peptide (FY)3 has an amidated C-terminus, significantly less acidic compared to the carboxylic one, and a basic non protected N-terminal amino group that can support a positive charge after protonation. This latter phenomenon contributes to the reduction of the total negative charge in the inner sphere of NGs, which determines lower attractive forces between the drug and the peptide system. The size of empty and filled Fmoc-FF/(FY)3 NGs, measured by Dynamic Light Scattering (DLS), was 168 and 214 nm, respectively (see Figure 3). This increase in size (~22%) is comparable to the increase of dimensions previously observed for empty (174 nm) and filled (241 nm) Fmoc-FF NGs.Figure 3DLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method.\nDLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method.\nDrug Release from HGs and NGs Drug release from both hydrogels and nanogels was evaluated in 0.100 mol L−1 phosphate buffer solution up to 72 hours and the corresponding release profiles are reported in Figure 4A and B, respectively. Two different procedures were used for determination of Dox release from hydrogels and nanogels. In the first case, Dox or Doxil filled hydrogels, prepared into a conic tube, were directly put in contact with a double volume of physiological solution, cyclically replaced with a fresh one. Instead, in the second case, the release of Dox from nanogels was studied using a dialysis membrane immersed in phosphate buffer at 37°C. We assumed that the crossing of the free Dox through the dialysis membrane occurred quickly, thus, the overall release of the free drug from the peptide-based nanostructures to the dialysis bag medium could be considered to be rate determining for the process. The API release from the systems was considered undergone to a diffusion process. The Dox amount released was estimated by UV-Vis (at λabs= 480 nm) or by fluorescence spectroscopies (at λem= 590 nm) for HGs and NGs, respectively. The extent of drug was reported as a percentage of the ratio between the amount of released drug and the total drug initially loaded. From the inspection of Figure 4A, we can observe a similar release profile for all the Dox filled hydrogels during the first 24 hours. However, after 72 hours, each mixed gel exhibits a different release, with the lowest one for Fmoc-FF/(FY)3 (2/1) (16%). A low drug release (21%) was also observed for the other mixed HGs Fmoc-FF/(FY)3 (1/1). The same trend was also observed for the PEG8-(FY)3 containing hydrogels with a release of 19% and 28% for 2/1 and 1/1 ratios, respectively. These results agree with our expectations that PEGylation of the peptide could affect the rigidity and permeability of the hydrogels matrix and, in turn, the drug release. As expected, the amount of drug released from the hydrogel encapsulating Doxil (~8.5%) was lower than the drug released from the corresponding hydrogel (21%). In Figure 4B is reported the Dox release (%), which after 72 h, is around 20% and 40% for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels, respectively. Analogously to HGs, also for NGs the drug release is more appreciable during the first 8–12 h. The higher release observed for mixed NGs with respect to pure ones can be interpreted as a direct consequence of the lower electrostatic interactions occurring between the NG and the drug.Figure 4Drug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels.\nDrug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels.\nDrug release from both hydrogels and nanogels was evaluated in 0.100 mol L−1 phosphate buffer solution up to 72 hours and the corresponding release profiles are reported in Figure 4A and B, respectively. Two different procedures were used for determination of Dox release from hydrogels and nanogels. In the first case, Dox or Doxil filled hydrogels, prepared into a conic tube, were directly put in contact with a double volume of physiological solution, cyclically replaced with a fresh one. Instead, in the second case, the release of Dox from nanogels was studied using a dialysis membrane immersed in phosphate buffer at 37°C. We assumed that the crossing of the free Dox through the dialysis membrane occurred quickly, thus, the overall release of the free drug from the peptide-based nanostructures to the dialysis bag medium could be considered to be rate determining for the process. The API release from the systems was considered undergone to a diffusion process. The Dox amount released was estimated by UV-Vis (at λabs= 480 nm) or by fluorescence spectroscopies (at λem= 590 nm) for HGs and NGs, respectively. The extent of drug was reported as a percentage of the ratio between the amount of released drug and the total drug initially loaded. From the inspection of Figure 4A, we can observe a similar release profile for all the Dox filled hydrogels during the first 24 hours. However, after 72 hours, each mixed gel exhibits a different release, with the lowest one for Fmoc-FF/(FY)3 (2/1) (16%). A low drug release (21%) was also observed for the other mixed HGs Fmoc-FF/(FY)3 (1/1). The same trend was also observed for the PEG8-(FY)3 containing hydrogels with a release of 19% and 28% for 2/1 and 1/1 ratios, respectively. These results agree with our expectations that PEGylation of the peptide could affect the rigidity and permeability of the hydrogels matrix and, in turn, the drug release. As expected, the amount of drug released from the hydrogel encapsulating Doxil (~8.5%) was lower than the drug released from the corresponding hydrogel (21%). In Figure 4B is reported the Dox release (%), which after 72 h, is around 20% and 40% for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels, respectively. Analogously to HGs, also for NGs the drug release is more appreciable during the first 8–12 h. The higher release observed for mixed NGs with respect to pure ones can be interpreted as a direct consequence of the lower electrostatic interactions occurring between the NG and the drug.Figure 4Drug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels.\nDrug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels.\nCytotoxicity Assays Cytotoxicity of mixed Fmoc-FF/(FY)3 (1/1, v/v) hydrogel encapsulating Dox or its liposomal formulation Doxil, at the same Dox concentration, was evaluated after 24 hours of incubation on MDA-MB-231 breast cancer cell line, using MTT assay. The cytotoxicity of the free drug, as well as of the empty hydrogels, was studied in the same conditions. HGs preparation was directly achieved into the hollow plastic chamber sealed at one end with a porous membrane. This experimental setting for hydrogels allows to mimic its conditions of utilization, in which this biocompatible support loaded with the chemotherapeutic agent is grafted at the level of the tumor lesion, where a controlled and constant drug release is achieved. During our experiments, hydrogels remain in contact with the cells for all the duration of the treatment. As shown in Figure 5A, the cell viability of empty hydrogels was found to be more than 95%. This percentage of cell survival is similar to that previously observed by us for Fmoc-FF and Fmoc-FF/(FY)3 hydrogels co-incubated with the Chinese Hamster Ovarian (CHO) cell line.38 Dox loaded hydrogels significantly reduced viability of MDA-MB-231 cells after only 24 h of incubation (49%) as well as free Dox at a concentration of 1µmol L−1 (55%). This Dox concentration corresponds to its IC50 on MDA-MB-231 cells (see Supplementary Figure S4). Due to its lower drug release, hydrogels encapsulating Doxil showed a slightly lower cytotoxicity, with a cell viability of 57%.Figure 5MDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test).Abbreviation: n.s., not significant.\nMDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test).\nOn the other hand, Figure 5B reports the cell viability of the same cell line treated with pure Fmoc-FF and mixed Fmoc-FF(FY)3 nanogels, empty or loaded with the drug, in comparison to free Dox and Doxil. Initially, we evaluated the cytotoxicity of empty nanogels as function of the total peptide concentration at three different time points (24, 48 and 72 h). We observed that there is a significant decrease in the cell viability during the first 48 h of incubation with nanogels. After this time of incubation, cell viability improves during the next 24 h (see Figure S5). This effect may be due to a temporary inhibition of the cell cycle induced by nanogels. Based on these results, cytotoxicity of NGs encapsulating Dox was checked after 72 h of incubation. Analogously to HGs, Dox loaded nanogels are able to significantly reduce breast cancer cells viability, with a cell viability of 7% and 25% for pure and mixed hydrogels, respectively. The higher cytotoxicity of pure HG with respect to the mixed one is probably attributable to the intrinsic toxicity of the empty gel.\nCytotoxicity of mixed Fmoc-FF/(FY)3 (1/1, v/v) hydrogel encapsulating Dox or its liposomal formulation Doxil, at the same Dox concentration, was evaluated after 24 hours of incubation on MDA-MB-231 breast cancer cell line, using MTT assay. The cytotoxicity of the free drug, as well as of the empty hydrogels, was studied in the same conditions. HGs preparation was directly achieved into the hollow plastic chamber sealed at one end with a porous membrane. This experimental setting for hydrogels allows to mimic its conditions of utilization, in which this biocompatible support loaded with the chemotherapeutic agent is grafted at the level of the tumor lesion, where a controlled and constant drug release is achieved. During our experiments, hydrogels remain in contact with the cells for all the duration of the treatment. As shown in Figure 5A, the cell viability of empty hydrogels was found to be more than 95%. This percentage of cell survival is similar to that previously observed by us for Fmoc-FF and Fmoc-FF/(FY)3 hydrogels co-incubated with the Chinese Hamster Ovarian (CHO) cell line.38 Dox loaded hydrogels significantly reduced viability of MDA-MB-231 cells after only 24 h of incubation (49%) as well as free Dox at a concentration of 1µmol L−1 (55%). This Dox concentration corresponds to its IC50 on MDA-MB-231 cells (see Supplementary Figure S4). Due to its lower drug release, hydrogels encapsulating Doxil showed a slightly lower cytotoxicity, with a cell viability of 57%.Figure 5MDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test).Abbreviation: n.s., not significant.\nMDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test).\nOn the other hand, Figure 5B reports the cell viability of the same cell line treated with pure Fmoc-FF and mixed Fmoc-FF(FY)3 nanogels, empty or loaded with the drug, in comparison to free Dox and Doxil. Initially, we evaluated the cytotoxicity of empty nanogels as function of the total peptide concentration at three different time points (24, 48 and 72 h). We observed that there is a significant decrease in the cell viability during the first 48 h of incubation with nanogels. After this time of incubation, cell viability improves during the next 24 h (see Figure S5). This effect may be due to a temporary inhibition of the cell cycle induced by nanogels. Based on these results, cytotoxicity of NGs encapsulating Dox was checked after 72 h of incubation. Analogously to HGs, Dox loaded nanogels are able to significantly reduce breast cancer cells viability, with a cell viability of 7% and 25% for pure and mixed hydrogels, respectively. The higher cytotoxicity of pure HG with respect to the mixed one is probably attributable to the intrinsic toxicity of the empty gel.\nDetermination of the Cellular Uptake by Immunofluorescence The intracellular internalization of Dox loaded HGs and NGs was assessed using immunofluorescence analysis on MDA-MB-231 cells treated for 24 h. Internalization of free Dox and Doxil are also reported for comparison. As indicated by the overlapping of red fluorescence associated to Dox with blue signal associated to DAPI (nucleus), the free drug can internalize into the nucleus after 24 h of incubation at 37°C (Figure 6A). Differently, Dox loaded Fmoc-FF/(FY)3 mixed hydrogel induces the internalization of Dox at peri-nuclear level since Dox signal is not perfectly overlapped with DAPI, but it is also partially detectable in the cytoplasm together with the green Actin signal (Figure 6B). The same behavior was previously observed for other liposomal Dox formulations.49,50 At the same time, doxorubicin conveyed through the nanogels remains in the cytoplasm of treated cells (Figure 6C), whereas by using Doxil the drug diffuses equally between the cytoplasm and the nucleus (Figure 6D). The different intracellular distribution of the drug in Figure 6 suggests an internalization mechanism alternative to the diffusion for the drug delivered by supramolecular systems like HGs, NGs and liposomes. One of the most accredited hypotheses is that nanogels are able to bind themselves primarily to the cellular membrane and then to enter the tumor cell via the endocytosis pathway.51,52Figure 6Immunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm.\nImmunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm.\nThe intracellular internalization of Dox loaded HGs and NGs was assessed using immunofluorescence analysis on MDA-MB-231 cells treated for 24 h. Internalization of free Dox and Doxil are also reported for comparison. As indicated by the overlapping of red fluorescence associated to Dox with blue signal associated to DAPI (nucleus), the free drug can internalize into the nucleus after 24 h of incubation at 37°C (Figure 6A). Differently, Dox loaded Fmoc-FF/(FY)3 mixed hydrogel induces the internalization of Dox at peri-nuclear level since Dox signal is not perfectly overlapped with DAPI, but it is also partially detectable in the cytoplasm together with the green Actin signal (Figure 6B). The same behavior was previously observed for other liposomal Dox formulations.49,50 At the same time, doxorubicin conveyed through the nanogels remains in the cytoplasm of treated cells (Figure 6C), whereas by using Doxil the drug diffuses equally between the cytoplasm and the nucleus (Figure 6D). The different intracellular distribution of the drug in Figure 6 suggests an internalization mechanism alternative to the diffusion for the drug delivered by supramolecular systems like HGs, NGs and liposomes. One of the most accredited hypotheses is that nanogels are able to bind themselves primarily to the cellular membrane and then to enter the tumor cell via the endocytosis pathway.51,52Figure 6Immunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm.\nImmunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm.", "HGs filled with the anticancer drug Dox were prepared according to the “solvent-switch” method.41 This method consists of the addition of an aqueous solution of Dox directly into the stock peptide solution (100 mg/mL in DMSO). After few seconds of vortex, the resulting opaque metastable mixture is vertically incubated at room temperature until the formation of a limpid, translucent self-supportive hydrogel. Dox filled hydrogels Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 at two different ratios (1/1 or 2/1, v/v) were successfully formulated. Instead, in the same experimental conditions, Dox filled Fmoc-FF hydrogel appears not completely homogenous (see Figure S1). On the other hand, we observed a progressive improvement of the hydrogel homogeneity by increasing the amount (up to 0.018 mol L−1) of Dox to encapsulate (Figure S1). This behavior could be attributed to a shield effect of the charges occurring between the drug and the peptidic matrix. Although Dox filled Fmoc-FF hydrogel can be prepared, the Dox concentration is too high compared with mixed HGs and, for this reason, we did not further focus our attention on this sample. For mixed HGs, no syneresis was detected after 10 days. This specific no water-loss is an important advantage offered by HGs, thus allowing a precise modulation of water-soluble drug loaded in the system. According to this experimental evidence, we can assume that all the Dox was efficiently and quantitatively entrapped in the hydrogel matrix.\nThe resulting Dox filled hydrogels were further characterized in their xerogel form by confocal microscopy. Confocal images of one sample (Fmoc-FF/(FY)3, 1/1) are reported in Figure 2A and B. These images clearly show the characteristic intricate network of entangled fibers,47 and their red color suggests the tight interaction of Dox with the network constituents. The amount of drug we were able to encapsulate in mixed HGs was 2.32 mg/mL. This quantity corresponds to a drug loading content (DLC) of 0.440 and to an encapsulation ratio (ER%, defined as the weight percentage of drug encapsulated in the HG on the total drug added during preparation) of 100%, respectively. This high encapsulation degree can be explained as consequence of the electrostatic interactions between the positive charge on the drug and the negative one present on the C-terminus of the Fmoc-FF peptide. Analogously to free Dox, also Doxil was efficiently encapsulated into mixed hydrogels at the same drug concentration. This is surprising due to the negative Z potential value (see Figure S2) we measured for Doxil (ζ ~ -11 mV) into the experimental conditions ([Dox] =1.13 mmol L−1) used to achieve the encapsulation into the hydrogel.Figure 2Characterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time.\nCharacterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time.\nA macroscopic evaluation of the gelation kinetics for mixed drug-filled hydrogels can be done by simply following the opaque-to-transparent optic transition. As previously observed for the corresponding empty systems, a different time (between 20 and 40 minutes) is required for the gelation process of each mixed hydrogel.38 In particular, we observed a more rapid formation for mixed HGs containing PEG8-(FY)3 (24 and 30 minutes for 2/1 and 1/1, respectively) with respect to those containing (FY)3 (35 and 40 minutes for 2/1 and 1/1, respectively). Analogously to empty matrices, the gelation kinetics of Dox filled HGs is faster by increasing the amount of the Fmoc-FF. This result may be ascribable to the capability of Fmoc-FF to gelificate in a very quick time (~2 min).35 On the contrary, we observe a faster gelation for HGs containing PEG in respect to HGs lacking polymer. This result is probably due to the additional interactions occurring between the hydrophilic PEG structure and the hydrophilic daunosamine moiety of Dox. As an alternative, gelation kinetics of hydrogels can be more accurately determined by following other structural or mechanical transitions occurring over time, related to alteration of UV-Vis absorbance, storage modulus (G’) or the dichroic signal.48 In this perspective, we recorded the CD spectra of Dox filled hydrogels at several time points in the spectral region between 300 and 200 nm (see Figure 2C–F). From the inspection of all the CD spectra, it clearly appears an evolution of the dichroic signal towards a stable state, in which we can assume that the HG has reached its final arrangement. The co-existence of several conformational states in the solution is also confirmed by isosbestic points between 220 and 240 nm and around 267 nm for PEG8-(FY)3 containing HGs. By plotting the optical density (OD) in the relative minima for each sample, we were able to extrapolate the gelation times (see Figure S3). These times, evaluated from the CD measurements, were found in good agreement with the gelation times observed following the transition from the opaque to limpid form.", "The preparation of pure Fmoc-FF and mixed nanogels loaded with Dox was achieved according to the top-down methodology.41 In this approach, macroscopic discs of hydrogels (1.0%wt) loaded with Dox (0.018 mol L−1) were prepared into silicone molds according to the above-described protocol. Successively, these discs were homogenized into an aqueous solution of TWEEN®60 (polyethylene glycol sorbitan monostearate) and SPAN®60 (Sorbitan stearate) as stabilizing agents. The combination of this couple of surfactants permits to achieve a hydrophilic/lipophilic balance (HLB) value ranged between 4.7 and 14.9. Due to the similar behavior exhibited by the four mixed HG formulations in terms of DLC and stability, we decided to prepare only one of the four mixed formulations, ie, Fmoc-FF/(FY)3 (1/1, v/v). The best Dox filled NG formulations, in terms of size and stability, were obtained using TWEEN®60/SPAN®60 at 58/42 ratio (HLB= 10) or at 100/0 ratio (HLB= 14.9) for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v), respectively. Indeed, contrarily to the pure Fmoc-FF formulation, the mixed one was found unstable when prepared with a value of HLB = 10. The resulting suspensions, further submicronized using tip sonicator, were purified from free drug using size exclusion chromatography. The red coloration of purified formulations macroscopically suggested the incorporation of the anthracycline in the NGs vehicle. Due to its spectroscopic features (λabs = 480 nm; λem= 560, 590 nm), the amount of Dox encapsulated was analytically monitored and evaluated by UV-Vis spectroscopy, by checking the absorbance in the maximum at λabs= 480 nm. DLC and ER% values for pure Fmoc-FF nanogel were 0.137% and 63%, respectively. This DLC value is similar to that of the commercially available liposomal formulations Myocet (DLC=0.127) and Doxil (DLC=0.250). Therefore, the insertion of (FY)3 peptide in the preparation causes a slight decrease of both the DLC (0.093) and the ER% (45%) with respect to the pure formulation. The lower encapsulation degree observed for mixed NGs versus pure ones can be explained considering the different amount of the net negative charge present in the two nanogels. Indeed, the peptide (FY)3 has an amidated C-terminus, significantly less acidic compared to the carboxylic one, and a basic non protected N-terminal amino group that can support a positive charge after protonation. This latter phenomenon contributes to the reduction of the total negative charge in the inner sphere of NGs, which determines lower attractive forces between the drug and the peptide system. The size of empty and filled Fmoc-FF/(FY)3 NGs, measured by Dynamic Light Scattering (DLS), was 168 and 214 nm, respectively (see Figure 3). This increase in size (~22%) is comparable to the increase of dimensions previously observed for empty (174 nm) and filled (241 nm) Fmoc-FF NGs.Figure 3DLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method.\nDLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method.", "Drug release from both hydrogels and nanogels was evaluated in 0.100 mol L−1 phosphate buffer solution up to 72 hours and the corresponding release profiles are reported in Figure 4A and B, respectively. Two different procedures were used for determination of Dox release from hydrogels and nanogels. In the first case, Dox or Doxil filled hydrogels, prepared into a conic tube, were directly put in contact with a double volume of physiological solution, cyclically replaced with a fresh one. Instead, in the second case, the release of Dox from nanogels was studied using a dialysis membrane immersed in phosphate buffer at 37°C. We assumed that the crossing of the free Dox through the dialysis membrane occurred quickly, thus, the overall release of the free drug from the peptide-based nanostructures to the dialysis bag medium could be considered to be rate determining for the process. The API release from the systems was considered undergone to a diffusion process. The Dox amount released was estimated by UV-Vis (at λabs= 480 nm) or by fluorescence spectroscopies (at λem= 590 nm) for HGs and NGs, respectively. The extent of drug was reported as a percentage of the ratio between the amount of released drug and the total drug initially loaded. From the inspection of Figure 4A, we can observe a similar release profile for all the Dox filled hydrogels during the first 24 hours. However, after 72 hours, each mixed gel exhibits a different release, with the lowest one for Fmoc-FF/(FY)3 (2/1) (16%). A low drug release (21%) was also observed for the other mixed HGs Fmoc-FF/(FY)3 (1/1). The same trend was also observed for the PEG8-(FY)3 containing hydrogels with a release of 19% and 28% for 2/1 and 1/1 ratios, respectively. These results agree with our expectations that PEGylation of the peptide could affect the rigidity and permeability of the hydrogels matrix and, in turn, the drug release. As expected, the amount of drug released from the hydrogel encapsulating Doxil (~8.5%) was lower than the drug released from the corresponding hydrogel (21%). In Figure 4B is reported the Dox release (%), which after 72 h, is around 20% and 40% for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels, respectively. Analogously to HGs, also for NGs the drug release is more appreciable during the first 8–12 h. The higher release observed for mixed NGs with respect to pure ones can be interpreted as a direct consequence of the lower electrostatic interactions occurring between the NG and the drug.Figure 4Drug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels.\nDrug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels.", "Cytotoxicity of mixed Fmoc-FF/(FY)3 (1/1, v/v) hydrogel encapsulating Dox or its liposomal formulation Doxil, at the same Dox concentration, was evaluated after 24 hours of incubation on MDA-MB-231 breast cancer cell line, using MTT assay. The cytotoxicity of the free drug, as well as of the empty hydrogels, was studied in the same conditions. HGs preparation was directly achieved into the hollow plastic chamber sealed at one end with a porous membrane. This experimental setting for hydrogels allows to mimic its conditions of utilization, in which this biocompatible support loaded with the chemotherapeutic agent is grafted at the level of the tumor lesion, where a controlled and constant drug release is achieved. During our experiments, hydrogels remain in contact with the cells for all the duration of the treatment. As shown in Figure 5A, the cell viability of empty hydrogels was found to be more than 95%. This percentage of cell survival is similar to that previously observed by us for Fmoc-FF and Fmoc-FF/(FY)3 hydrogels co-incubated with the Chinese Hamster Ovarian (CHO) cell line.38 Dox loaded hydrogels significantly reduced viability of MDA-MB-231 cells after only 24 h of incubation (49%) as well as free Dox at a concentration of 1µmol L−1 (55%). This Dox concentration corresponds to its IC50 on MDA-MB-231 cells (see Supplementary Figure S4). Due to its lower drug release, hydrogels encapsulating Doxil showed a slightly lower cytotoxicity, with a cell viability of 57%.Figure 5MDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test).Abbreviation: n.s., not significant.\nMDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test).\nOn the other hand, Figure 5B reports the cell viability of the same cell line treated with pure Fmoc-FF and mixed Fmoc-FF(FY)3 nanogels, empty or loaded with the drug, in comparison to free Dox and Doxil. Initially, we evaluated the cytotoxicity of empty nanogels as function of the total peptide concentration at three different time points (24, 48 and 72 h). We observed that there is a significant decrease in the cell viability during the first 48 h of incubation with nanogels. After this time of incubation, cell viability improves during the next 24 h (see Figure S5). This effect may be due to a temporary inhibition of the cell cycle induced by nanogels. Based on these results, cytotoxicity of NGs encapsulating Dox was checked after 72 h of incubation. Analogously to HGs, Dox loaded nanogels are able to significantly reduce breast cancer cells viability, with a cell viability of 7% and 25% for pure and mixed hydrogels, respectively. The higher cytotoxicity of pure HG with respect to the mixed one is probably attributable to the intrinsic toxicity of the empty gel.", "The intracellular internalization of Dox loaded HGs and NGs was assessed using immunofluorescence analysis on MDA-MB-231 cells treated for 24 h. Internalization of free Dox and Doxil are also reported for comparison. As indicated by the overlapping of red fluorescence associated to Dox with blue signal associated to DAPI (nucleus), the free drug can internalize into the nucleus after 24 h of incubation at 37°C (Figure 6A). Differently, Dox loaded Fmoc-FF/(FY)3 mixed hydrogel induces the internalization of Dox at peri-nuclear level since Dox signal is not perfectly overlapped with DAPI, but it is also partially detectable in the cytoplasm together with the green Actin signal (Figure 6B). The same behavior was previously observed for other liposomal Dox formulations.49,50 At the same time, doxorubicin conveyed through the nanogels remains in the cytoplasm of treated cells (Figure 6C), whereas by using Doxil the drug diffuses equally between the cytoplasm and the nucleus (Figure 6D). The different intracellular distribution of the drug in Figure 6 suggests an internalization mechanism alternative to the diffusion for the drug delivered by supramolecular systems like HGs, NGs and liposomes. One of the most accredited hypotheses is that nanogels are able to bind themselves primarily to the cellular membrane and then to enter the tumor cell via the endocytosis pathway.51,52Figure 6Immunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm.\nImmunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm.", "The administration of drugs is often affected by several issues related to systemic toxicity, chemical instability and repeated dosing requirement. Hydrogels and nanogels can represent alternative drug delivery vehicles to conventional supramolecular structures, such as vesicles, liposomes and nanostructures already developed and in clinical use. Indeed, macroscopic tridimensional HG networks could allow transepithelial drug delivery or in situ gelation process for the formation of implants, whereas nanosized nanogels could be used for systemic, oral and pulmonary administration of drugs. Due to their high biocompatibility, good biodegradability and tunability, short or ultra-short peptides represent potential attractive alternatives for preparation of HGs and NGs with respect to natural and synthetic polymers. The peptide-based HGs and NGs here formulated are obtained by using the well-known hydrogelator Fmoc-FF alone or in combination with (FY)3 peptide or its PEGylated analogue PEG8-(FY)3 at two different ratios. NGs were prepared starting from the corresponding HGs using a top-down approach in which the macroscopic hydrogel is submicronized and stabilized with commercially available biocompatible surfactants. Due to the common structure of their inner peptidic network, both NGs and HGs allow to efficiently encapsulate Dox. The gelation kinetics (from 24 to 40 minutes) and the drug release (16–28%, after 72 h) from hydrogels are clearly influenced by the hydrogel peptide composition. Analogously, the DLC values (0.137 and 0.093 for pure and mixed NGs, respectively) and the release percentages (20–40%, after 72 h) in NGs are affected by their composition in terms of net charges. Cytotoxicity assays carried out on MDA-MB-231 breast cancer cell line pointed out a high cell viability (>95%) for empty HGs and NGs, and a reduced cell viability (49–57%) for Dox loaded HGs and NGs. Moreover, immunofluorescence assays show a different cellular localization for the Dox delivered by HGs and NGs with respect to the free Dox. Indeed, contrarily to the free Dox, localized in the nucleus, HGs and NGs allow internalization of the drug at the peri-nuclear level and in the cytoplasm, respectively. This result suggests a different internalization mechanism and a different intracellular distribution and Dox release between free Dox and Dox loaded in hydrogels/nanogels. All the in vitro data we collected and analyzed for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 nanogels loaded with Dox suggest their potential use in vivo, by systemic administration, to deliver the cytotoxic drug on tumor tissues and cells. Thanks to its characteristics the new Dox loaded peptide supramolecular systems here described could be considered as promising valid alternatives to the already available liposomal Dox formulations." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Introduction", "Materials and Methods", "Peptide Synthesis", "Hydrogels and Nanogels Formulation", "Doxorubicin Filled Hydrogels and Nanogels", "Doxil Filled Hydrogels", "Circular Dichroism (CD)", "Confocal Analysis", "Dynamic Light Scattering (DLS) Measurements", "Dox Release from Hydrogels and Nanogels", "Cell Line", "Cell Viability Evaluation by MTT", "Immunofluorescence Experiments", "Statistical Analyses", "Results and Discussion", "Formulation and Characterization of Dox Filled HGs", "Formulation and Characterization of Dox Filled NGs", "Drug Release from HGs and NGs", "Cytotoxicity Assays", "Determination of the Cellular Uptake by Immunofluorescence", "Conclusion" ]
[ "Nowadays, cancer remains one of the leading causes of mortality worldwide, affecting more than 10 million new patients every year. Among cancerous diseases, breast cancer is the most common one for women in the United States with more than 200,000 newly diagnosed cases for year.1 Current treatment options include surgical resection, radiation, and chemotherapy. Chemotherapeutic regime establishes the treatment of patients with drugs (doxorubicin, docetaxel, paclitaxel, and tamoxifen) alone or in combination.2 Doxorubicin (Dox), also known as Adriamycin, is a natural antitumor antibiotic of the anthracycline class, which works as DNA intercalating agent and as an inhibitor of topoisomerase II.3 Despite its therapeutic potentiality, clinical use of Dox is hampered by its dose-limiting toxicity, represented by myelosuppression and cardiotoxic side effects, which cause increased cardiovascular risks.4 In addition, Dox-mediated cardiotoxicity was found to be cumulative and dose-dependent, with heart suffering from the very first dose and then with accumulative damage for each following anthracycline cycle.5,6 In order to overcome these drawbacks, Dox encapsulating nanoformulations has been proposed as an alternative strategy for its administration. Currently, two doxorubicin liposomal formulations, Caelyx®/Doxil® and Myocet®, and their bioequivalent formulations, are available in the clinic.7,8 The liposomal spatial confinement of Dox allows altering biodistribution of the drug, minimizing its toxicity, increasing the half-life and the therapeutic index and improving the pharmaceutical profile, thus leading to increased patient compliance.9,10\nIn the last years, other typologies of nanosized structures, including polymer-based aggregates,11 nanofibers,12 nanodisks,13 gold nanoparticles,14 graphene and graphene oxide15,16 and hydrogels (HGs), were evaluated and studied as novel Dox-delivery tools. HGs are self-supporting materials, structured as supramolecular hydrophilic networks associated with the construction of space-spanning structures characterized by a non-Newtonian behavior. The hydrophilic nature of HGs constituents allows entrapping a high volume of biological fluids and water during the swelling process.17 3D-connectivity in physical cross-linked HGs is related to aggregation/interaction of molecules, cooperating through non-covalent interactions or via chemical irreversible bonds. Due to their unique structure, HGs have been exploited as versatile tools for many different biomedical applications (such as 3D-extracellular matrices for wound healing systems,18 cell support for tissue engineering and regeneration,19,20 protein mimetics,21 ophthalmic compatible materials,22 and drug delivery systems23). Submicronization of HGs by top-down methodologies gives the possibility to generate smaller hydrogel particles with a size in the nano-range.24 These hydrogel nanoparticles, named nanogels (NGs), combine the same hydrated inner network of hydrogels with the size of injectable nanoparticles, such as micelles and liposomes.25 Due to their size, nanogel formulations could achieve a fast renal clearance, a feasible penetration through tissue barriers and a prolonged circulation time in the blood stream.\nHydrogels and nanogels can be prepared using synthetic26–28 or natural polymers29–32 or peptide sequences.33,34 With respect to polymers, peptides exhibit several advantages such as high biocompatibility, biodegradability and tunability. Fmoc-FF (Nα-fluorenylmethyloxycarbonyl diphenylalanine) hydrogelator (Figure 1) represents one of the most studied peptide sequences for hydrogels formulation, thanks to its capability to gelificate under physiological conditions, required for biomedical applications.35–37 Recently, we have described the preparation of pure Fmoc-FF and mixed Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 (at 2/1 or 1/1, v/v) hydrogels.38 PEG8-(FY)3 and (FY)3 are the PEGylated and the non-PEGylated versions of the (FY)3 hexapeptide, this latter containing as peptide framework the alternation of three tyrosine (Y) and three phenylalanine (F) residues.39 The rheological characterization of the mixed gels pointed out that the presence of PEG and its relative amount into the mixed gel causes a slowing down of the gelation kinetic and a decrease of the gel rigidity. This different behavior was attributed to the high flexibility and conformational freedom of the PEG chain in the mixed hydrogel. Independently of their composition, all the gels showed an in vitro cell viability higher than 95% after 24 h of incubation, thus suggesting their potential applications in the biomedical field.Figure 1Schematic representation of components and methodologies for the formulation of HGs and NGs. Chemical formulas for peptide-based components are reported in the legend.\nSchematic representation of components and methodologies for the formulation of HGs and NGs. Chemical formulas for peptide-based components are reported in the legend.\nHere we describe the Dox loading capability of hydrogels and nanogels (both pure and mixed) and their drug release properties over time. We also report the in vitro cytotoxicity of both empty and Dox filled HGs and NGs on MDA-MB-231 breast cancer cell line representative of Triple Negative Breast Cancer (TNBC), the most aggressive breast cancer subtype.40 These results are compared with empty and Dox filled nanogel formulations,41 obtained sub-micronizing hydrogels by a top-down method. We also checked the capability of peptide-based hydrogels to encapsulate supramolecular nanodrugs and we studied their effective cytotoxicity on cells. For instance, as nanodrug we chose the liposomal doxorubicin formulation Doxil. This strategy could allow to obtain a composite drug delivery platform for a multi-stage delivery of Dox.", "Protected Nα-Fmoc-amino acid derivatives, coupling reagents, and Rink amide MBHA (4-methylbenzhydrylamine) resin were purchased from Calbiochem-Novabiochem (Laufelfingen, Switzerland). The monodisperse Fmoc-8-amino-3,6-dioxaoctanoic acid (Fmoc- AdOO-OH, PEG2) was purchased from Neosystem (Strasbourg, France). Lyophilized Fmoc-FF powder was purchased from Bachem (Bubendorf, Switzerland). Doxorubicin chlorohydrate (Dox.HCl) was purchased from Sigma Aldrich (Milan, Italy). Pegylated liposomal Dox (commercial name of Doxil) vials were kindly gifted by the Italian Cancer Institute in Naples (Italy) “Fondazione G. Pascale”. TWEEN®60, SPAN®60, and all other chemicals and solvents were purchased from Sigma-Aldrich, Fluka (Bucks, Switzerland) or LabScan (Stillorgan, Dublin, Ireland) and were used as received unless otherwise stated. All solutions were obtained by weight using doubly distilled water as a solvent. UV-Vis spectra were recorded on a Thermo Fisher Scientific Inc (Wilmington, Delaware USA) Nanodrop 2000c, equipped with a 1.0 cm quartz cuvette (Hellma).\nPeptide Synthesis (FY)3 and its PEGylated analogue PEG8-(FY)3 peptide derivative were synthesized by peptide solid phase synthesis (SPPS) procedures with a Fmoc/tBu chemistry approach as previously described39,42,43 and purified by RP-HPLC chromatography.\n(FY)3 and its PEGylated analogue PEG8-(FY)3 peptide derivative were synthesized by peptide solid phase synthesis (SPPS) procedures with a Fmoc/tBu chemistry approach as previously described39,42,43 and purified by RP-HPLC chromatography.\nHydrogels and Nanogels Formulation Pure Fmoc-FF hydrogel and mixed Fmoc-FF/PEG8-(FY)3 and Fmoc-FF/(FY)3 hydrogels (1/1 or 2/1, v/v) were prepared as previously described using the “solvent-switch method”44 to a final concentration of 0.5 wt%.38 Briefly, each peptide component (Fmoc-FF, (FY)3 and PEG8-(FY)3) was dissolved in dimethyl sulfoxide (DMSO) to a final concentration of 100 mg/mL. Pure Fmoc-FF hydrogel (400 µL) was obtained by diluting 20 µL of the Fmoc-FF stock solution with 380 μL of double distilled water under stirring (5 seconds). Preparation of all the mixed hydrogels was achieved analogously, by combining the peptides stock solutions at the desired volume/volume ratios. Pure and mixed nanogel formulations were prepared as previously described according to the top-down method.41 Briefly, the gel disk obtained into a silicone mold was homogenized at 35,000 min−1 for 5 min into 4 mL of an aqueous solution containing TWEEN 60/SPAN 60 at a w/w ratio of 52/48 (3.10–5 mol) for pure Fmoc-FF NGs and only TWEEN 60 (3.10–5 mol) for mixed Fmoc-FF/(FY)3 NGs. The resulting suspensions were then tip sonicated for 5 min at 9 W.\nPure Fmoc-FF hydrogel and mixed Fmoc-FF/PEG8-(FY)3 and Fmoc-FF/(FY)3 hydrogels (1/1 or 2/1, v/v) were prepared as previously described using the “solvent-switch method”44 to a final concentration of 0.5 wt%.38 Briefly, each peptide component (Fmoc-FF, (FY)3 and PEG8-(FY)3) was dissolved in dimethyl sulfoxide (DMSO) to a final concentration of 100 mg/mL. Pure Fmoc-FF hydrogel (400 µL) was obtained by diluting 20 µL of the Fmoc-FF stock solution with 380 μL of double distilled water under stirring (5 seconds). Preparation of all the mixed hydrogels was achieved analogously, by combining the peptides stock solutions at the desired volume/volume ratios. Pure and mixed nanogel formulations were prepared as previously described according to the top-down method.41 Briefly, the gel disk obtained into a silicone mold was homogenized at 35,000 min−1 for 5 min into 4 mL of an aqueous solution containing TWEEN 60/SPAN 60 at a w/w ratio of 52/48 (3.10–5 mol) for pure Fmoc-FF NGs and only TWEEN 60 (3.10–5 mol) for mixed Fmoc-FF/(FY)3 NGs. The resulting suspensions were then tip sonicated for 5 min at 9 W.\nDoxorubicin Filled Hydrogels and Nanogels Dox filled hydrogels were prepared as described above by adding 380 µL of an aqueous Dox solution at a concentration of 4.0.10–3 mol L−1 to the peptide stock solutions. Dox filled nanogels were prepared according to the top-down methodology as previously described.41 Shorty, a disk of pure or mixed hydrogel loaded with Dox was prepared adding the stock solution of peptide (100 mg/mL) to 900 μL of an aqueous solution of Dox (0.018 mol L−1), which allows to reach a drug weight/lipid weight ratio of 0.250. Then, the hydrogel disk was homogenized, and tip sonicated into 4 mL of TWEEN 60/SPAN 60 mixture or TWEEN 60, according to the empty formulation. Purification of Dox filled nanogels from free Dox was achieved by gel filtration on a pre-packed column Sephadex G-50. The drug loading content (DLC), defined as gDox encapsulated/g(surfactant+peptide), was quantified by subtraction of the free Dox from the total amount of loaded Dox. The Dox concentration was determined by UV-Vis spectroscopy using calibration curves obtained by measuring absorbance at λ = 480 nm.\nDox filled hydrogels were prepared as described above by adding 380 µL of an aqueous Dox solution at a concentration of 4.0.10–3 mol L−1 to the peptide stock solutions. Dox filled nanogels were prepared according to the top-down methodology as previously described.41 Shorty, a disk of pure or mixed hydrogel loaded with Dox was prepared adding the stock solution of peptide (100 mg/mL) to 900 μL of an aqueous solution of Dox (0.018 mol L−1), which allows to reach a drug weight/lipid weight ratio of 0.250. Then, the hydrogel disk was homogenized, and tip sonicated into 4 mL of TWEEN 60/SPAN 60 mixture or TWEEN 60, according to the empty formulation. Purification of Dox filled nanogels from free Dox was achieved by gel filtration on a pre-packed column Sephadex G-50. The drug loading content (DLC), defined as gDox encapsulated/g(surfactant+peptide), was quantified by subtraction of the free Dox from the total amount of loaded Dox. The Dox concentration was determined by UV-Vis spectroscopy using calibration curves obtained by measuring absorbance at λ = 480 nm.\nDoxil Filled Hydrogels Doxil filled hydrogels were prepared analogously to Dox filled ones, by adding 380 µL of the commercial Doxil solution opportunely diluted in order to achieve the same Dox concentration (4.0.10–3 mol L−1) that was in the HGs.\nDoxil filled hydrogels were prepared analogously to Dox filled ones, by adding 380 µL of the commercial Doxil solution opportunely diluted in order to achieve the same Dox concentration (4.0.10–3 mol L−1) that was in the HGs.\nCircular Dichroism (CD) Far-UV CD spectra of Dox filled hydrogels and nanogels were collected on a Jasco J-810 spectropolarimeter equipped with a NesLab RTE111 thermal controller unit at 25°C. 100 µL of a hydrated DMSO stock solution (immediately after its generation) were placed on a 0.1 mm quartz cell. The measurements were recorded as function of the time (every 8 minutes) in the range of wavelength between 300 and 200 nm. Other experimental settings were: scan speed = 50 nm min−1, sensitivity = 10 mdeg, time constant = 16 s, bandwidth = 1 nm. Each spectrum was obtained by averaging three scans. All the spectra are reported in optical density (O.D.).\nFar-UV CD spectra of Dox filled hydrogels and nanogels were collected on a Jasco J-810 spectropolarimeter equipped with a NesLab RTE111 thermal controller unit at 25°C. 100 µL of a hydrated DMSO stock solution (immediately after its generation) were placed on a 0.1 mm quartz cell. The measurements were recorded as function of the time (every 8 minutes) in the range of wavelength between 300 and 200 nm. Other experimental settings were: scan speed = 50 nm min−1, sensitivity = 10 mdeg, time constant = 16 s, bandwidth = 1 nm. Each spectrum was obtained by averaging three scans. All the spectra are reported in optical density (O.D.).\nConfocal Analysis For confocal microscopy, Dox filled hydrogels were drop-casted and spread on a glass slide, air-dried at room temperature, and examined by confocal microscopy. Confocal images were obtained with a Leica TCS-SMD-SP5 confocal microscope (λexc = 488 nm and λem = 505–600 nm). 0.8-µm thick optical slices were acquired with a 63× or 40×/1.4 NA objective.\nFor confocal microscopy, Dox filled hydrogels were drop-casted and spread on a glass slide, air-dried at room temperature, and examined by confocal microscopy. Confocal images were obtained with a Leica TCS-SMD-SP5 confocal microscope (λexc = 488 nm and λem = 505–600 nm). 0.8-µm thick optical slices were acquired with a 63× or 40×/1.4 NA objective.\nDynamic Light Scattering (DLS) Measurements Mean diameters and diffusion coefficients (D) of empty and Dox filled NGs were estimated by DLS using a Zetasizer Nano ZS (Malvern Instruments, Westborough, MA). Instrumental settings for the measurements are a backscatter detector at 173° in automatic modality, room temperature and disposable sizing cuvette as cell. DLS measurements in triplicate were carried out on aqueous samples after centrifugation at room temperature at 13,000 rpm for 5 minutes.\nMean diameters and diffusion coefficients (D) of empty and Dox filled NGs were estimated by DLS using a Zetasizer Nano ZS (Malvern Instruments, Westborough, MA). Instrumental settings for the measurements are a backscatter detector at 173° in automatic modality, room temperature and disposable sizing cuvette as cell. DLS measurements in triplicate were carried out on aqueous samples after centrifugation at room temperature at 13,000 rpm for 5 minutes.\nDox Release from Hydrogels and Nanogels Dox and Doxil release from hydrogels were evaluated in a conic tube (1.5 mL) using 400 µL of drug filled hydrogels (0.5% wt) adding, on the top of them, 800 µL of 0.100 mol L−1 phosphate buffer. At each time-point, 400 µL of this solution was removed and replaced with an equal fresh aliquot. Released Dox was quantified by UV-Vis spectrum of the supernatant at 480 nm. All the release experiments were performed in triplicates. The extent of Dox release was reported as percentage of the ratio between the amount of released drug and the total quantity of drug initially loaded into hydrogels. Dox release from nanogels was achieved using the well-known dialysis method.45 Briefly, Dox loaded nanogel suspension (1.0 mL) was placed into a dialysis bag (MW cut-off = 3500 Da). This bag was immersed under stirring for 72 h, at 37°C into 20 mL of phosphate buffer. Then, 2 mL of the dialyzed solution was replaced with an equal amount of fresh solution at different time points. Fluorescence measurements of each fraction of the dialyzed solution were recorded at room temperature with a spectrofluorophotometer Jasco (Model FP-750, Japan) in a quartz cell with 1.0 cm path length. The other settings were as follows: excitation and emission bandwidths = 5 nm, recording speed = 125 nm/min, and excitation wavelength = 480 nm, emission range from 490 to 700 nm. The amount of doxorubicin contained in each fraction was estimated using an analytical titration curve previously recorded for the free Dox in the same spectral range. Analogously to HGs, Dox release profile from NGs was reported as percentage of released drug/total drug loaded into NGs.\nDox and Doxil release from hydrogels were evaluated in a conic tube (1.5 mL) using 400 µL of drug filled hydrogels (0.5% wt) adding, on the top of them, 800 µL of 0.100 mol L−1 phosphate buffer. At each time-point, 400 µL of this solution was removed and replaced with an equal fresh aliquot. Released Dox was quantified by UV-Vis spectrum of the supernatant at 480 nm. All the release experiments were performed in triplicates. The extent of Dox release was reported as percentage of the ratio between the amount of released drug and the total quantity of drug initially loaded into hydrogels. Dox release from nanogels was achieved using the well-known dialysis method.45 Briefly, Dox loaded nanogel suspension (1.0 mL) was placed into a dialysis bag (MW cut-off = 3500 Da). This bag was immersed under stirring for 72 h, at 37°C into 20 mL of phosphate buffer. Then, 2 mL of the dialyzed solution was replaced with an equal amount of fresh solution at different time points. Fluorescence measurements of each fraction of the dialyzed solution were recorded at room temperature with a spectrofluorophotometer Jasco (Model FP-750, Japan) in a quartz cell with 1.0 cm path length. The other settings were as follows: excitation and emission bandwidths = 5 nm, recording speed = 125 nm/min, and excitation wavelength = 480 nm, emission range from 490 to 700 nm. The amount of doxorubicin contained in each fraction was estimated using an analytical titration curve previously recorded for the free Dox in the same spectral range. Analogously to HGs, Dox release profile from NGs was reported as percentage of released drug/total drug loaded into NGs.\nCell Line Human breast cancer cell line MDA-MB-231 was obtained from IRCCS-SDN Biobank (10.5334/ojb.26) and growth in Dulbecco’s Modified Medium (DMEM) supplemented with 10% fetal bovine serum (FBS) and 1% GlutaMAX. Cells were incubated at 37°C and 5% CO2 and seeded in T-25 culture flasks.\nHuman breast cancer cell line MDA-MB-231 was obtained from IRCCS-SDN Biobank (10.5334/ojb.26) and growth in Dulbecco’s Modified Medium (DMEM) supplemented with 10% fetal bovine serum (FBS) and 1% GlutaMAX. Cells were incubated at 37°C and 5% CO2 and seeded in T-25 culture flasks.\nCell Viability Evaluation by MTT For MTT assays (Sigma Aldrich, Germany), MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well. After 24 h free Dox at 1µmol L−1, nanogels and hydrogels (these latter preformed into a hollow plastic chamber sealed at one end with a porous membrane) were added to the wells. Cells were treated with the hydrogels for 24 h and with nanogel solutions for 72 h. At the end of the treatment, cell viability was assessed by the MTT assay. For the IC50 determination of Dox, MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well and treated with different concentrations (0.25, 0.5, 1, 2 and 4 µmol L−1) of Dox for 24 h. At the end of the treatment, cell viability was assessed by the MTT assay. In brief, MTT, dissolved in DMEM in the absence of phenol red (Sigma-Aldrich), was added to the cells at a final concentration of 0.5 mg/mL. After 4 h incubation at 37°C, the culture medium was removed, and the resulting formazan salts were dissolved by adding isopropanol containing 0.1 mol L−1 HCl and 10% Triton-X100. Absorbance values of blue formazan were determined at 490 nm using an automatic plate reader (EL 800, Biotek). Cell survival was expressed as percentage of viable cells in the presence of hydrogels or nanogels, compared to control cells grown in their absence. MTT assay was repeated twice with similar results.\nFor MTT assays (Sigma Aldrich, Germany), MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well. After 24 h free Dox at 1µmol L−1, nanogels and hydrogels (these latter preformed into a hollow plastic chamber sealed at one end with a porous membrane) were added to the wells. Cells were treated with the hydrogels for 24 h and with nanogel solutions for 72 h. At the end of the treatment, cell viability was assessed by the MTT assay. For the IC50 determination of Dox, MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well and treated with different concentrations (0.25, 0.5, 1, 2 and 4 µmol L−1) of Dox for 24 h. At the end of the treatment, cell viability was assessed by the MTT assay. In brief, MTT, dissolved in DMEM in the absence of phenol red (Sigma-Aldrich), was added to the cells at a final concentration of 0.5 mg/mL. After 4 h incubation at 37°C, the culture medium was removed, and the resulting formazan salts were dissolved by adding isopropanol containing 0.1 mol L−1 HCl and 10% Triton-X100. Absorbance values of blue formazan were determined at 490 nm using an automatic plate reader (EL 800, Biotek). Cell survival was expressed as percentage of viable cells in the presence of hydrogels or nanogels, compared to control cells grown in their absence. MTT assay was repeated twice with similar results.\nImmunofluorescence Experiments MDA-MB-231 cells were treated for 24 h with 1µmol L−1 free Dox or 1.13 mmol L−1 Dox loaded Fmoc-FF/(FY)3 hydrogels and Fmoc-FF/(FY)3 nanogels. Cells were fixed at -20 °C for 15 minutes with a -80 °C pre-cooled solution of methanol/acetone (1/1, v/v). Subsequently, cells were subjected to blocking with solution of 3% (w/v) BSA in PBS pH 7.4 at room temperature (RT). Anti B-actin (A2228, Sigma Aldrich) monoclonal antibody was diluted 1:200 in a solution of PBS + 1% (w/v) BSA and then all slides were incubated for 4 h at + 4°C. After three washing steps in PBS for 5 minutes each, FITC-conjugated anti-mouse secondary antibody (ab7064, Abcam, UK) diluted 1:400 in a solution of PBS + 1% (w/v) BSA was incubated for 1 h at 4°C in the dark. After additional three washing steps in PBS, a solution of 4′,6-Diamidino-2-Phenylindole, Dihydrochloride (DAPI, Thermo Fischer Scientific D1306) diluted 35,000-fold in PBS was used and it was left to act for 10 minutes at RT in the dark to color the nuclei. Images were obtained using an automated upright microscope system (Leica DM5500 B) coupled with Leica Cytovision software.\nStatistical Analyses All statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified.\nAll statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified.\nMDA-MB-231 cells were treated for 24 h with 1µmol L−1 free Dox or 1.13 mmol L−1 Dox loaded Fmoc-FF/(FY)3 hydrogels and Fmoc-FF/(FY)3 nanogels. Cells were fixed at -20 °C for 15 minutes with a -80 °C pre-cooled solution of methanol/acetone (1/1, v/v). Subsequently, cells were subjected to blocking with solution of 3% (w/v) BSA in PBS pH 7.4 at room temperature (RT). Anti B-actin (A2228, Sigma Aldrich) monoclonal antibody was diluted 1:200 in a solution of PBS + 1% (w/v) BSA and then all slides were incubated for 4 h at + 4°C. After three washing steps in PBS for 5 minutes each, FITC-conjugated anti-mouse secondary antibody (ab7064, Abcam, UK) diluted 1:400 in a solution of PBS + 1% (w/v) BSA was incubated for 1 h at 4°C in the dark. After additional three washing steps in PBS, a solution of 4′,6-Diamidino-2-Phenylindole, Dihydrochloride (DAPI, Thermo Fischer Scientific D1306) diluted 35,000-fold in PBS was used and it was left to act for 10 minutes at RT in the dark to color the nuclei. Images were obtained using an automated upright microscope system (Leica DM5500 B) coupled with Leica Cytovision software.\nStatistical Analyses All statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified.\nAll statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified.", "(FY)3 and its PEGylated analogue PEG8-(FY)3 peptide derivative were synthesized by peptide solid phase synthesis (SPPS) procedures with a Fmoc/tBu chemistry approach as previously described39,42,43 and purified by RP-HPLC chromatography.", "Pure Fmoc-FF hydrogel and mixed Fmoc-FF/PEG8-(FY)3 and Fmoc-FF/(FY)3 hydrogels (1/1 or 2/1, v/v) were prepared as previously described using the “solvent-switch method”44 to a final concentration of 0.5 wt%.38 Briefly, each peptide component (Fmoc-FF, (FY)3 and PEG8-(FY)3) was dissolved in dimethyl sulfoxide (DMSO) to a final concentration of 100 mg/mL. Pure Fmoc-FF hydrogel (400 µL) was obtained by diluting 20 µL of the Fmoc-FF stock solution with 380 μL of double distilled water under stirring (5 seconds). Preparation of all the mixed hydrogels was achieved analogously, by combining the peptides stock solutions at the desired volume/volume ratios. Pure and mixed nanogel formulations were prepared as previously described according to the top-down method.41 Briefly, the gel disk obtained into a silicone mold was homogenized at 35,000 min−1 for 5 min into 4 mL of an aqueous solution containing TWEEN 60/SPAN 60 at a w/w ratio of 52/48 (3.10–5 mol) for pure Fmoc-FF NGs and only TWEEN 60 (3.10–5 mol) for mixed Fmoc-FF/(FY)3 NGs. The resulting suspensions were then tip sonicated for 5 min at 9 W.", "Dox filled hydrogels were prepared as described above by adding 380 µL of an aqueous Dox solution at a concentration of 4.0.10–3 mol L−1 to the peptide stock solutions. Dox filled nanogels were prepared according to the top-down methodology as previously described.41 Shorty, a disk of pure or mixed hydrogel loaded with Dox was prepared adding the stock solution of peptide (100 mg/mL) to 900 μL of an aqueous solution of Dox (0.018 mol L−1), which allows to reach a drug weight/lipid weight ratio of 0.250. Then, the hydrogel disk was homogenized, and tip sonicated into 4 mL of TWEEN 60/SPAN 60 mixture or TWEEN 60, according to the empty formulation. Purification of Dox filled nanogels from free Dox was achieved by gel filtration on a pre-packed column Sephadex G-50. The drug loading content (DLC), defined as gDox encapsulated/g(surfactant+peptide), was quantified by subtraction of the free Dox from the total amount of loaded Dox. The Dox concentration was determined by UV-Vis spectroscopy using calibration curves obtained by measuring absorbance at λ = 480 nm.", "Doxil filled hydrogels were prepared analogously to Dox filled ones, by adding 380 µL of the commercial Doxil solution opportunely diluted in order to achieve the same Dox concentration (4.0.10–3 mol L−1) that was in the HGs.", "Far-UV CD spectra of Dox filled hydrogels and nanogels were collected on a Jasco J-810 spectropolarimeter equipped with a NesLab RTE111 thermal controller unit at 25°C. 100 µL of a hydrated DMSO stock solution (immediately after its generation) were placed on a 0.1 mm quartz cell. The measurements were recorded as function of the time (every 8 minutes) in the range of wavelength between 300 and 200 nm. Other experimental settings were: scan speed = 50 nm min−1, sensitivity = 10 mdeg, time constant = 16 s, bandwidth = 1 nm. Each spectrum was obtained by averaging three scans. All the spectra are reported in optical density (O.D.).", "For confocal microscopy, Dox filled hydrogels were drop-casted and spread on a glass slide, air-dried at room temperature, and examined by confocal microscopy. Confocal images were obtained with a Leica TCS-SMD-SP5 confocal microscope (λexc = 488 nm and λem = 505–600 nm). 0.8-µm thick optical slices were acquired with a 63× or 40×/1.4 NA objective.", "Mean diameters and diffusion coefficients (D) of empty and Dox filled NGs were estimated by DLS using a Zetasizer Nano ZS (Malvern Instruments, Westborough, MA). Instrumental settings for the measurements are a backscatter detector at 173° in automatic modality, room temperature and disposable sizing cuvette as cell. DLS measurements in triplicate were carried out on aqueous samples after centrifugation at room temperature at 13,000 rpm for 5 minutes.", "Dox and Doxil release from hydrogels were evaluated in a conic tube (1.5 mL) using 400 µL of drug filled hydrogels (0.5% wt) adding, on the top of them, 800 µL of 0.100 mol L−1 phosphate buffer. At each time-point, 400 µL of this solution was removed and replaced with an equal fresh aliquot. Released Dox was quantified by UV-Vis spectrum of the supernatant at 480 nm. All the release experiments were performed in triplicates. The extent of Dox release was reported as percentage of the ratio between the amount of released drug and the total quantity of drug initially loaded into hydrogels. Dox release from nanogels was achieved using the well-known dialysis method.45 Briefly, Dox loaded nanogel suspension (1.0 mL) was placed into a dialysis bag (MW cut-off = 3500 Da). This bag was immersed under stirring for 72 h, at 37°C into 20 mL of phosphate buffer. Then, 2 mL of the dialyzed solution was replaced with an equal amount of fresh solution at different time points. Fluorescence measurements of each fraction of the dialyzed solution were recorded at room temperature with a spectrofluorophotometer Jasco (Model FP-750, Japan) in a quartz cell with 1.0 cm path length. The other settings were as follows: excitation and emission bandwidths = 5 nm, recording speed = 125 nm/min, and excitation wavelength = 480 nm, emission range from 490 to 700 nm. The amount of doxorubicin contained in each fraction was estimated using an analytical titration curve previously recorded for the free Dox in the same spectral range. Analogously to HGs, Dox release profile from NGs was reported as percentage of released drug/total drug loaded into NGs.", "Human breast cancer cell line MDA-MB-231 was obtained from IRCCS-SDN Biobank (10.5334/ojb.26) and growth in Dulbecco’s Modified Medium (DMEM) supplemented with 10% fetal bovine serum (FBS) and 1% GlutaMAX. Cells were incubated at 37°C and 5% CO2 and seeded in T-25 culture flasks.", "For MTT assays (Sigma Aldrich, Germany), MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well. After 24 h free Dox at 1µmol L−1, nanogels and hydrogels (these latter preformed into a hollow plastic chamber sealed at one end with a porous membrane) were added to the wells. Cells were treated with the hydrogels for 24 h and with nanogel solutions for 72 h. At the end of the treatment, cell viability was assessed by the MTT assay. For the IC50 determination of Dox, MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well and treated with different concentrations (0.25, 0.5, 1, 2 and 4 µmol L−1) of Dox for 24 h. At the end of the treatment, cell viability was assessed by the MTT assay. In brief, MTT, dissolved in DMEM in the absence of phenol red (Sigma-Aldrich), was added to the cells at a final concentration of 0.5 mg/mL. After 4 h incubation at 37°C, the culture medium was removed, and the resulting formazan salts were dissolved by adding isopropanol containing 0.1 mol L−1 HCl and 10% Triton-X100. Absorbance values of blue formazan were determined at 490 nm using an automatic plate reader (EL 800, Biotek). Cell survival was expressed as percentage of viable cells in the presence of hydrogels or nanogels, compared to control cells grown in their absence. MTT assay was repeated twice with similar results.", "MDA-MB-231 cells were treated for 24 h with 1µmol L−1 free Dox or 1.13 mmol L−1 Dox loaded Fmoc-FF/(FY)3 hydrogels and Fmoc-FF/(FY)3 nanogels. Cells were fixed at -20 °C for 15 minutes with a -80 °C pre-cooled solution of methanol/acetone (1/1, v/v). Subsequently, cells were subjected to blocking with solution of 3% (w/v) BSA in PBS pH 7.4 at room temperature (RT). Anti B-actin (A2228, Sigma Aldrich) monoclonal antibody was diluted 1:200 in a solution of PBS + 1% (w/v) BSA and then all slides were incubated for 4 h at + 4°C. After three washing steps in PBS for 5 minutes each, FITC-conjugated anti-mouse secondary antibody (ab7064, Abcam, UK) diluted 1:400 in a solution of PBS + 1% (w/v) BSA was incubated for 1 h at 4°C in the dark. After additional three washing steps in PBS, a solution of 4′,6-Diamidino-2-Phenylindole, Dihydrochloride (DAPI, Thermo Fischer Scientific D1306) diluted 35,000-fold in PBS was used and it was left to act for 10 minutes at RT in the dark to color the nuclei. Images were obtained using an automated upright microscope system (Leica DM5500 B) coupled with Leica Cytovision software.\nStatistical Analyses All statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified.\nAll statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified.", "All statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified.", "Classical administrations of active pharmaceutical ingredients (APIs) are affected by issues related to systemic toxicity, drug chemical instability and repeated dosing requirement. As previously mentioned, HGs offer convenient drug delivery approaches, allowing them to overcome these drawbacks thanks to their tunable features, modular degradability and easy formulation. Macroscopically, hydrogel-based materials belong to two different categories based on their size: hydrogels (HGs) and nanogels (NGs). The specific size-feature determines the route of administration: transepithelial drug delivery or in situ gelation process of implants for HGs and systemic, oral and pulmonary administration of APIs for nanogels.46 The knowledge about the encapsulation procedures, the efficiency of drugs loading, and the cytotoxicity profiles can steer the development of efficient vehicles. For instance, swollen HGs matrices can be loaded in different ways, acting at macroscopic level, on the fibrillary network, the mesh size or at molecular scales. Moreover, the drug release can be differently modulated according to covalent or non-covalent approaches, in which drug molecules are chemically bound on the HG matrix by stable or cleavable linkers, or they can establish electrostatic interactions with HGs building blocks. These different drug loading strategies could affect the experimental conditions of preparation (eg, solvents, pH and salt content) and in turn the biological profile of the resulting vehicle. In this perspective, comparative studies on analogies and differences between HGs and NGs may assume a great importance.\nFormulation and Characterization of Dox Filled HGs HGs filled with the anticancer drug Dox were prepared according to the “solvent-switch” method.41 This method consists of the addition of an aqueous solution of Dox directly into the stock peptide solution (100 mg/mL in DMSO). After few seconds of vortex, the resulting opaque metastable mixture is vertically incubated at room temperature until the formation of a limpid, translucent self-supportive hydrogel. Dox filled hydrogels Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 at two different ratios (1/1 or 2/1, v/v) were successfully formulated. Instead, in the same experimental conditions, Dox filled Fmoc-FF hydrogel appears not completely homogenous (see Figure S1). On the other hand, we observed a progressive improvement of the hydrogel homogeneity by increasing the amount (up to 0.018 mol L−1) of Dox to encapsulate (Figure S1). This behavior could be attributed to a shield effect of the charges occurring between the drug and the peptidic matrix. Although Dox filled Fmoc-FF hydrogel can be prepared, the Dox concentration is too high compared with mixed HGs and, for this reason, we did not further focus our attention on this sample. For mixed HGs, no syneresis was detected after 10 days. This specific no water-loss is an important advantage offered by HGs, thus allowing a precise modulation of water-soluble drug loaded in the system. According to this experimental evidence, we can assume that all the Dox was efficiently and quantitatively entrapped in the hydrogel matrix.\nThe resulting Dox filled hydrogels were further characterized in their xerogel form by confocal microscopy. Confocal images of one sample (Fmoc-FF/(FY)3, 1/1) are reported in Figure 2A and B. These images clearly show the characteristic intricate network of entangled fibers,47 and their red color suggests the tight interaction of Dox with the network constituents. The amount of drug we were able to encapsulate in mixed HGs was 2.32 mg/mL. This quantity corresponds to a drug loading content (DLC) of 0.440 and to an encapsulation ratio (ER%, defined as the weight percentage of drug encapsulated in the HG on the total drug added during preparation) of 100%, respectively. This high encapsulation degree can be explained as consequence of the electrostatic interactions between the positive charge on the drug and the negative one present on the C-terminus of the Fmoc-FF peptide. Analogously to free Dox, also Doxil was efficiently encapsulated into mixed hydrogels at the same drug concentration. This is surprising due to the negative Z potential value (see Figure S2) we measured for Doxil (ζ ~ -11 mV) into the experimental conditions ([Dox] =1.13 mmol L−1) used to achieve the encapsulation into the hydrogel.Figure 2Characterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time.\nCharacterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time.\nA macroscopic evaluation of the gelation kinetics for mixed drug-filled hydrogels can be done by simply following the opaque-to-transparent optic transition. As previously observed for the corresponding empty systems, a different time (between 20 and 40 minutes) is required for the gelation process of each mixed hydrogel.38 In particular, we observed a more rapid formation for mixed HGs containing PEG8-(FY)3 (24 and 30 minutes for 2/1 and 1/1, respectively) with respect to those containing (FY)3 (35 and 40 minutes for 2/1 and 1/1, respectively). Analogously to empty matrices, the gelation kinetics of Dox filled HGs is faster by increasing the amount of the Fmoc-FF. This result may be ascribable to the capability of Fmoc-FF to gelificate in a very quick time (~2 min).35 On the contrary, we observe a faster gelation for HGs containing PEG in respect to HGs lacking polymer. This result is probably due to the additional interactions occurring between the hydrophilic PEG structure and the hydrophilic daunosamine moiety of Dox. As an alternative, gelation kinetics of hydrogels can be more accurately determined by following other structural or mechanical transitions occurring over time, related to alteration of UV-Vis absorbance, storage modulus (G’) or the dichroic signal.48 In this perspective, we recorded the CD spectra of Dox filled hydrogels at several time points in the spectral region between 300 and 200 nm (see Figure 2C–F). From the inspection of all the CD spectra, it clearly appears an evolution of the dichroic signal towards a stable state, in which we can assume that the HG has reached its final arrangement. The co-existence of several conformational states in the solution is also confirmed by isosbestic points between 220 and 240 nm and around 267 nm for PEG8-(FY)3 containing HGs. By plotting the optical density (OD) in the relative minima for each sample, we were able to extrapolate the gelation times (see Figure S3). These times, evaluated from the CD measurements, were found in good agreement with the gelation times observed following the transition from the opaque to limpid form.\nHGs filled with the anticancer drug Dox were prepared according to the “solvent-switch” method.41 This method consists of the addition of an aqueous solution of Dox directly into the stock peptide solution (100 mg/mL in DMSO). After few seconds of vortex, the resulting opaque metastable mixture is vertically incubated at room temperature until the formation of a limpid, translucent self-supportive hydrogel. Dox filled hydrogels Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 at two different ratios (1/1 or 2/1, v/v) were successfully formulated. Instead, in the same experimental conditions, Dox filled Fmoc-FF hydrogel appears not completely homogenous (see Figure S1). On the other hand, we observed a progressive improvement of the hydrogel homogeneity by increasing the amount (up to 0.018 mol L−1) of Dox to encapsulate (Figure S1). This behavior could be attributed to a shield effect of the charges occurring between the drug and the peptidic matrix. Although Dox filled Fmoc-FF hydrogel can be prepared, the Dox concentration is too high compared with mixed HGs and, for this reason, we did not further focus our attention on this sample. For mixed HGs, no syneresis was detected after 10 days. This specific no water-loss is an important advantage offered by HGs, thus allowing a precise modulation of water-soluble drug loaded in the system. According to this experimental evidence, we can assume that all the Dox was efficiently and quantitatively entrapped in the hydrogel matrix.\nThe resulting Dox filled hydrogels were further characterized in their xerogel form by confocal microscopy. Confocal images of one sample (Fmoc-FF/(FY)3, 1/1) are reported in Figure 2A and B. These images clearly show the characteristic intricate network of entangled fibers,47 and their red color suggests the tight interaction of Dox with the network constituents. The amount of drug we were able to encapsulate in mixed HGs was 2.32 mg/mL. This quantity corresponds to a drug loading content (DLC) of 0.440 and to an encapsulation ratio (ER%, defined as the weight percentage of drug encapsulated in the HG on the total drug added during preparation) of 100%, respectively. This high encapsulation degree can be explained as consequence of the electrostatic interactions between the positive charge on the drug and the negative one present on the C-terminus of the Fmoc-FF peptide. Analogously to free Dox, also Doxil was efficiently encapsulated into mixed hydrogels at the same drug concentration. This is surprising due to the negative Z potential value (see Figure S2) we measured for Doxil (ζ ~ -11 mV) into the experimental conditions ([Dox] =1.13 mmol L−1) used to achieve the encapsulation into the hydrogel.Figure 2Characterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time.\nCharacterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time.\nA macroscopic evaluation of the gelation kinetics for mixed drug-filled hydrogels can be done by simply following the opaque-to-transparent optic transition. As previously observed for the corresponding empty systems, a different time (between 20 and 40 minutes) is required for the gelation process of each mixed hydrogel.38 In particular, we observed a more rapid formation for mixed HGs containing PEG8-(FY)3 (24 and 30 minutes for 2/1 and 1/1, respectively) with respect to those containing (FY)3 (35 and 40 minutes for 2/1 and 1/1, respectively). Analogously to empty matrices, the gelation kinetics of Dox filled HGs is faster by increasing the amount of the Fmoc-FF. This result may be ascribable to the capability of Fmoc-FF to gelificate in a very quick time (~2 min).35 On the contrary, we observe a faster gelation for HGs containing PEG in respect to HGs lacking polymer. This result is probably due to the additional interactions occurring between the hydrophilic PEG structure and the hydrophilic daunosamine moiety of Dox. As an alternative, gelation kinetics of hydrogels can be more accurately determined by following other structural or mechanical transitions occurring over time, related to alteration of UV-Vis absorbance, storage modulus (G’) or the dichroic signal.48 In this perspective, we recorded the CD spectra of Dox filled hydrogels at several time points in the spectral region between 300 and 200 nm (see Figure 2C–F). From the inspection of all the CD spectra, it clearly appears an evolution of the dichroic signal towards a stable state, in which we can assume that the HG has reached its final arrangement. The co-existence of several conformational states in the solution is also confirmed by isosbestic points between 220 and 240 nm and around 267 nm for PEG8-(FY)3 containing HGs. By plotting the optical density (OD) in the relative minima for each sample, we were able to extrapolate the gelation times (see Figure S3). These times, evaluated from the CD measurements, were found in good agreement with the gelation times observed following the transition from the opaque to limpid form.\nFormulation and Characterization of Dox Filled NGs The preparation of pure Fmoc-FF and mixed nanogels loaded with Dox was achieved according to the top-down methodology.41 In this approach, macroscopic discs of hydrogels (1.0%wt) loaded with Dox (0.018 mol L−1) were prepared into silicone molds according to the above-described protocol. Successively, these discs were homogenized into an aqueous solution of TWEEN®60 (polyethylene glycol sorbitan monostearate) and SPAN®60 (Sorbitan stearate) as stabilizing agents. The combination of this couple of surfactants permits to achieve a hydrophilic/lipophilic balance (HLB) value ranged between 4.7 and 14.9. Due to the similar behavior exhibited by the four mixed HG formulations in terms of DLC and stability, we decided to prepare only one of the four mixed formulations, ie, Fmoc-FF/(FY)3 (1/1, v/v). The best Dox filled NG formulations, in terms of size and stability, were obtained using TWEEN®60/SPAN®60 at 58/42 ratio (HLB= 10) or at 100/0 ratio (HLB= 14.9) for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v), respectively. Indeed, contrarily to the pure Fmoc-FF formulation, the mixed one was found unstable when prepared with a value of HLB = 10. The resulting suspensions, further submicronized using tip sonicator, were purified from free drug using size exclusion chromatography. The red coloration of purified formulations macroscopically suggested the incorporation of the anthracycline in the NGs vehicle. Due to its spectroscopic features (λabs = 480 nm; λem= 560, 590 nm), the amount of Dox encapsulated was analytically monitored and evaluated by UV-Vis spectroscopy, by checking the absorbance in the maximum at λabs= 480 nm. DLC and ER% values for pure Fmoc-FF nanogel were 0.137% and 63%, respectively. This DLC value is similar to that of the commercially available liposomal formulations Myocet (DLC=0.127) and Doxil (DLC=0.250). Therefore, the insertion of (FY)3 peptide in the preparation causes a slight decrease of both the DLC (0.093) and the ER% (45%) with respect to the pure formulation. The lower encapsulation degree observed for mixed NGs versus pure ones can be explained considering the different amount of the net negative charge present in the two nanogels. Indeed, the peptide (FY)3 has an amidated C-terminus, significantly less acidic compared to the carboxylic one, and a basic non protected N-terminal amino group that can support a positive charge after protonation. This latter phenomenon contributes to the reduction of the total negative charge in the inner sphere of NGs, which determines lower attractive forces between the drug and the peptide system. The size of empty and filled Fmoc-FF/(FY)3 NGs, measured by Dynamic Light Scattering (DLS), was 168 and 214 nm, respectively (see Figure 3). This increase in size (~22%) is comparable to the increase of dimensions previously observed for empty (174 nm) and filled (241 nm) Fmoc-FF NGs.Figure 3DLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method.\nDLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method.\nThe preparation of pure Fmoc-FF and mixed nanogels loaded with Dox was achieved according to the top-down methodology.41 In this approach, macroscopic discs of hydrogels (1.0%wt) loaded with Dox (0.018 mol L−1) were prepared into silicone molds according to the above-described protocol. Successively, these discs were homogenized into an aqueous solution of TWEEN®60 (polyethylene glycol sorbitan monostearate) and SPAN®60 (Sorbitan stearate) as stabilizing agents. The combination of this couple of surfactants permits to achieve a hydrophilic/lipophilic balance (HLB) value ranged between 4.7 and 14.9. Due to the similar behavior exhibited by the four mixed HG formulations in terms of DLC and stability, we decided to prepare only one of the four mixed formulations, ie, Fmoc-FF/(FY)3 (1/1, v/v). The best Dox filled NG formulations, in terms of size and stability, were obtained using TWEEN®60/SPAN®60 at 58/42 ratio (HLB= 10) or at 100/0 ratio (HLB= 14.9) for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v), respectively. Indeed, contrarily to the pure Fmoc-FF formulation, the mixed one was found unstable when prepared with a value of HLB = 10. The resulting suspensions, further submicronized using tip sonicator, were purified from free drug using size exclusion chromatography. The red coloration of purified formulations macroscopically suggested the incorporation of the anthracycline in the NGs vehicle. Due to its spectroscopic features (λabs = 480 nm; λem= 560, 590 nm), the amount of Dox encapsulated was analytically monitored and evaluated by UV-Vis spectroscopy, by checking the absorbance in the maximum at λabs= 480 nm. DLC and ER% values for pure Fmoc-FF nanogel were 0.137% and 63%, respectively. This DLC value is similar to that of the commercially available liposomal formulations Myocet (DLC=0.127) and Doxil (DLC=0.250). Therefore, the insertion of (FY)3 peptide in the preparation causes a slight decrease of both the DLC (0.093) and the ER% (45%) with respect to the pure formulation. The lower encapsulation degree observed for mixed NGs versus pure ones can be explained considering the different amount of the net negative charge present in the two nanogels. Indeed, the peptide (FY)3 has an amidated C-terminus, significantly less acidic compared to the carboxylic one, and a basic non protected N-terminal amino group that can support a positive charge after protonation. This latter phenomenon contributes to the reduction of the total negative charge in the inner sphere of NGs, which determines lower attractive forces between the drug and the peptide system. The size of empty and filled Fmoc-FF/(FY)3 NGs, measured by Dynamic Light Scattering (DLS), was 168 and 214 nm, respectively (see Figure 3). This increase in size (~22%) is comparable to the increase of dimensions previously observed for empty (174 nm) and filled (241 nm) Fmoc-FF NGs.Figure 3DLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method.\nDLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method.\nDrug Release from HGs and NGs Drug release from both hydrogels and nanogels was evaluated in 0.100 mol L−1 phosphate buffer solution up to 72 hours and the corresponding release profiles are reported in Figure 4A and B, respectively. Two different procedures were used for determination of Dox release from hydrogels and nanogels. In the first case, Dox or Doxil filled hydrogels, prepared into a conic tube, were directly put in contact with a double volume of physiological solution, cyclically replaced with a fresh one. Instead, in the second case, the release of Dox from nanogels was studied using a dialysis membrane immersed in phosphate buffer at 37°C. We assumed that the crossing of the free Dox through the dialysis membrane occurred quickly, thus, the overall release of the free drug from the peptide-based nanostructures to the dialysis bag medium could be considered to be rate determining for the process. The API release from the systems was considered undergone to a diffusion process. The Dox amount released was estimated by UV-Vis (at λabs= 480 nm) or by fluorescence spectroscopies (at λem= 590 nm) for HGs and NGs, respectively. The extent of drug was reported as a percentage of the ratio between the amount of released drug and the total drug initially loaded. From the inspection of Figure 4A, we can observe a similar release profile for all the Dox filled hydrogels during the first 24 hours. However, after 72 hours, each mixed gel exhibits a different release, with the lowest one for Fmoc-FF/(FY)3 (2/1) (16%). A low drug release (21%) was also observed for the other mixed HGs Fmoc-FF/(FY)3 (1/1). The same trend was also observed for the PEG8-(FY)3 containing hydrogels with a release of 19% and 28% for 2/1 and 1/1 ratios, respectively. These results agree with our expectations that PEGylation of the peptide could affect the rigidity and permeability of the hydrogels matrix and, in turn, the drug release. As expected, the amount of drug released from the hydrogel encapsulating Doxil (~8.5%) was lower than the drug released from the corresponding hydrogel (21%). In Figure 4B is reported the Dox release (%), which after 72 h, is around 20% and 40% for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels, respectively. Analogously to HGs, also for NGs the drug release is more appreciable during the first 8–12 h. The higher release observed for mixed NGs with respect to pure ones can be interpreted as a direct consequence of the lower electrostatic interactions occurring between the NG and the drug.Figure 4Drug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels.\nDrug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels.\nDrug release from both hydrogels and nanogels was evaluated in 0.100 mol L−1 phosphate buffer solution up to 72 hours and the corresponding release profiles are reported in Figure 4A and B, respectively. Two different procedures were used for determination of Dox release from hydrogels and nanogels. In the first case, Dox or Doxil filled hydrogels, prepared into a conic tube, were directly put in contact with a double volume of physiological solution, cyclically replaced with a fresh one. Instead, in the second case, the release of Dox from nanogels was studied using a dialysis membrane immersed in phosphate buffer at 37°C. We assumed that the crossing of the free Dox through the dialysis membrane occurred quickly, thus, the overall release of the free drug from the peptide-based nanostructures to the dialysis bag medium could be considered to be rate determining for the process. The API release from the systems was considered undergone to a diffusion process. The Dox amount released was estimated by UV-Vis (at λabs= 480 nm) or by fluorescence spectroscopies (at λem= 590 nm) for HGs and NGs, respectively. The extent of drug was reported as a percentage of the ratio between the amount of released drug and the total drug initially loaded. From the inspection of Figure 4A, we can observe a similar release profile for all the Dox filled hydrogels during the first 24 hours. However, after 72 hours, each mixed gel exhibits a different release, with the lowest one for Fmoc-FF/(FY)3 (2/1) (16%). A low drug release (21%) was also observed for the other mixed HGs Fmoc-FF/(FY)3 (1/1). The same trend was also observed for the PEG8-(FY)3 containing hydrogels with a release of 19% and 28% for 2/1 and 1/1 ratios, respectively. These results agree with our expectations that PEGylation of the peptide could affect the rigidity and permeability of the hydrogels matrix and, in turn, the drug release. As expected, the amount of drug released from the hydrogel encapsulating Doxil (~8.5%) was lower than the drug released from the corresponding hydrogel (21%). In Figure 4B is reported the Dox release (%), which after 72 h, is around 20% and 40% for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels, respectively. Analogously to HGs, also for NGs the drug release is more appreciable during the first 8–12 h. The higher release observed for mixed NGs with respect to pure ones can be interpreted as a direct consequence of the lower electrostatic interactions occurring between the NG and the drug.Figure 4Drug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels.\nDrug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels.\nCytotoxicity Assays Cytotoxicity of mixed Fmoc-FF/(FY)3 (1/1, v/v) hydrogel encapsulating Dox or its liposomal formulation Doxil, at the same Dox concentration, was evaluated after 24 hours of incubation on MDA-MB-231 breast cancer cell line, using MTT assay. The cytotoxicity of the free drug, as well as of the empty hydrogels, was studied in the same conditions. HGs preparation was directly achieved into the hollow plastic chamber sealed at one end with a porous membrane. This experimental setting for hydrogels allows to mimic its conditions of utilization, in which this biocompatible support loaded with the chemotherapeutic agent is grafted at the level of the tumor lesion, where a controlled and constant drug release is achieved. During our experiments, hydrogels remain in contact with the cells for all the duration of the treatment. As shown in Figure 5A, the cell viability of empty hydrogels was found to be more than 95%. This percentage of cell survival is similar to that previously observed by us for Fmoc-FF and Fmoc-FF/(FY)3 hydrogels co-incubated with the Chinese Hamster Ovarian (CHO) cell line.38 Dox loaded hydrogels significantly reduced viability of MDA-MB-231 cells after only 24 h of incubation (49%) as well as free Dox at a concentration of 1µmol L−1 (55%). This Dox concentration corresponds to its IC50 on MDA-MB-231 cells (see Supplementary Figure S4). Due to its lower drug release, hydrogels encapsulating Doxil showed a slightly lower cytotoxicity, with a cell viability of 57%.Figure 5MDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test).Abbreviation: n.s., not significant.\nMDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test).\nOn the other hand, Figure 5B reports the cell viability of the same cell line treated with pure Fmoc-FF and mixed Fmoc-FF(FY)3 nanogels, empty or loaded with the drug, in comparison to free Dox and Doxil. Initially, we evaluated the cytotoxicity of empty nanogels as function of the total peptide concentration at three different time points (24, 48 and 72 h). We observed that there is a significant decrease in the cell viability during the first 48 h of incubation with nanogels. After this time of incubation, cell viability improves during the next 24 h (see Figure S5). This effect may be due to a temporary inhibition of the cell cycle induced by nanogels. Based on these results, cytotoxicity of NGs encapsulating Dox was checked after 72 h of incubation. Analogously to HGs, Dox loaded nanogels are able to significantly reduce breast cancer cells viability, with a cell viability of 7% and 25% for pure and mixed hydrogels, respectively. The higher cytotoxicity of pure HG with respect to the mixed one is probably attributable to the intrinsic toxicity of the empty gel.\nCytotoxicity of mixed Fmoc-FF/(FY)3 (1/1, v/v) hydrogel encapsulating Dox or its liposomal formulation Doxil, at the same Dox concentration, was evaluated after 24 hours of incubation on MDA-MB-231 breast cancer cell line, using MTT assay. The cytotoxicity of the free drug, as well as of the empty hydrogels, was studied in the same conditions. HGs preparation was directly achieved into the hollow plastic chamber sealed at one end with a porous membrane. This experimental setting for hydrogels allows to mimic its conditions of utilization, in which this biocompatible support loaded with the chemotherapeutic agent is grafted at the level of the tumor lesion, where a controlled and constant drug release is achieved. During our experiments, hydrogels remain in contact with the cells for all the duration of the treatment. As shown in Figure 5A, the cell viability of empty hydrogels was found to be more than 95%. This percentage of cell survival is similar to that previously observed by us for Fmoc-FF and Fmoc-FF/(FY)3 hydrogels co-incubated with the Chinese Hamster Ovarian (CHO) cell line.38 Dox loaded hydrogels significantly reduced viability of MDA-MB-231 cells after only 24 h of incubation (49%) as well as free Dox at a concentration of 1µmol L−1 (55%). This Dox concentration corresponds to its IC50 on MDA-MB-231 cells (see Supplementary Figure S4). Due to its lower drug release, hydrogels encapsulating Doxil showed a slightly lower cytotoxicity, with a cell viability of 57%.Figure 5MDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test).Abbreviation: n.s., not significant.\nMDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test).\nOn the other hand, Figure 5B reports the cell viability of the same cell line treated with pure Fmoc-FF and mixed Fmoc-FF(FY)3 nanogels, empty or loaded with the drug, in comparison to free Dox and Doxil. Initially, we evaluated the cytotoxicity of empty nanogels as function of the total peptide concentration at three different time points (24, 48 and 72 h). We observed that there is a significant decrease in the cell viability during the first 48 h of incubation with nanogels. After this time of incubation, cell viability improves during the next 24 h (see Figure S5). This effect may be due to a temporary inhibition of the cell cycle induced by nanogels. Based on these results, cytotoxicity of NGs encapsulating Dox was checked after 72 h of incubation. Analogously to HGs, Dox loaded nanogels are able to significantly reduce breast cancer cells viability, with a cell viability of 7% and 25% for pure and mixed hydrogels, respectively. The higher cytotoxicity of pure HG with respect to the mixed one is probably attributable to the intrinsic toxicity of the empty gel.\nDetermination of the Cellular Uptake by Immunofluorescence The intracellular internalization of Dox loaded HGs and NGs was assessed using immunofluorescence analysis on MDA-MB-231 cells treated for 24 h. Internalization of free Dox and Doxil are also reported for comparison. As indicated by the overlapping of red fluorescence associated to Dox with blue signal associated to DAPI (nucleus), the free drug can internalize into the nucleus after 24 h of incubation at 37°C (Figure 6A). Differently, Dox loaded Fmoc-FF/(FY)3 mixed hydrogel induces the internalization of Dox at peri-nuclear level since Dox signal is not perfectly overlapped with DAPI, but it is also partially detectable in the cytoplasm together with the green Actin signal (Figure 6B). The same behavior was previously observed for other liposomal Dox formulations.49,50 At the same time, doxorubicin conveyed through the nanogels remains in the cytoplasm of treated cells (Figure 6C), whereas by using Doxil the drug diffuses equally between the cytoplasm and the nucleus (Figure 6D). The different intracellular distribution of the drug in Figure 6 suggests an internalization mechanism alternative to the diffusion for the drug delivered by supramolecular systems like HGs, NGs and liposomes. One of the most accredited hypotheses is that nanogels are able to bind themselves primarily to the cellular membrane and then to enter the tumor cell via the endocytosis pathway.51,52Figure 6Immunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm.\nImmunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm.\nThe intracellular internalization of Dox loaded HGs and NGs was assessed using immunofluorescence analysis on MDA-MB-231 cells treated for 24 h. Internalization of free Dox and Doxil are also reported for comparison. As indicated by the overlapping of red fluorescence associated to Dox with blue signal associated to DAPI (nucleus), the free drug can internalize into the nucleus after 24 h of incubation at 37°C (Figure 6A). Differently, Dox loaded Fmoc-FF/(FY)3 mixed hydrogel induces the internalization of Dox at peri-nuclear level since Dox signal is not perfectly overlapped with DAPI, but it is also partially detectable in the cytoplasm together with the green Actin signal (Figure 6B). The same behavior was previously observed for other liposomal Dox formulations.49,50 At the same time, doxorubicin conveyed through the nanogels remains in the cytoplasm of treated cells (Figure 6C), whereas by using Doxil the drug diffuses equally between the cytoplasm and the nucleus (Figure 6D). The different intracellular distribution of the drug in Figure 6 suggests an internalization mechanism alternative to the diffusion for the drug delivered by supramolecular systems like HGs, NGs and liposomes. One of the most accredited hypotheses is that nanogels are able to bind themselves primarily to the cellular membrane and then to enter the tumor cell via the endocytosis pathway.51,52Figure 6Immunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm.\nImmunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm.", "HGs filled with the anticancer drug Dox were prepared according to the “solvent-switch” method.41 This method consists of the addition of an aqueous solution of Dox directly into the stock peptide solution (100 mg/mL in DMSO). After few seconds of vortex, the resulting opaque metastable mixture is vertically incubated at room temperature until the formation of a limpid, translucent self-supportive hydrogel. Dox filled hydrogels Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 at two different ratios (1/1 or 2/1, v/v) were successfully formulated. Instead, in the same experimental conditions, Dox filled Fmoc-FF hydrogel appears not completely homogenous (see Figure S1). On the other hand, we observed a progressive improvement of the hydrogel homogeneity by increasing the amount (up to 0.018 mol L−1) of Dox to encapsulate (Figure S1). This behavior could be attributed to a shield effect of the charges occurring between the drug and the peptidic matrix. Although Dox filled Fmoc-FF hydrogel can be prepared, the Dox concentration is too high compared with mixed HGs and, for this reason, we did not further focus our attention on this sample. For mixed HGs, no syneresis was detected after 10 days. This specific no water-loss is an important advantage offered by HGs, thus allowing a precise modulation of water-soluble drug loaded in the system. According to this experimental evidence, we can assume that all the Dox was efficiently and quantitatively entrapped in the hydrogel matrix.\nThe resulting Dox filled hydrogels were further characterized in their xerogel form by confocal microscopy. Confocal images of one sample (Fmoc-FF/(FY)3, 1/1) are reported in Figure 2A and B. These images clearly show the characteristic intricate network of entangled fibers,47 and their red color suggests the tight interaction of Dox with the network constituents. The amount of drug we were able to encapsulate in mixed HGs was 2.32 mg/mL. This quantity corresponds to a drug loading content (DLC) of 0.440 and to an encapsulation ratio (ER%, defined as the weight percentage of drug encapsulated in the HG on the total drug added during preparation) of 100%, respectively. This high encapsulation degree can be explained as consequence of the electrostatic interactions between the positive charge on the drug and the negative one present on the C-terminus of the Fmoc-FF peptide. Analogously to free Dox, also Doxil was efficiently encapsulated into mixed hydrogels at the same drug concentration. This is surprising due to the negative Z potential value (see Figure S2) we measured for Doxil (ζ ~ -11 mV) into the experimental conditions ([Dox] =1.13 mmol L−1) used to achieve the encapsulation into the hydrogel.Figure 2Characterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time.\nCharacterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time.\nA macroscopic evaluation of the gelation kinetics for mixed drug-filled hydrogels can be done by simply following the opaque-to-transparent optic transition. As previously observed for the corresponding empty systems, a different time (between 20 and 40 minutes) is required for the gelation process of each mixed hydrogel.38 In particular, we observed a more rapid formation for mixed HGs containing PEG8-(FY)3 (24 and 30 minutes for 2/1 and 1/1, respectively) with respect to those containing (FY)3 (35 and 40 minutes for 2/1 and 1/1, respectively). Analogously to empty matrices, the gelation kinetics of Dox filled HGs is faster by increasing the amount of the Fmoc-FF. This result may be ascribable to the capability of Fmoc-FF to gelificate in a very quick time (~2 min).35 On the contrary, we observe a faster gelation for HGs containing PEG in respect to HGs lacking polymer. This result is probably due to the additional interactions occurring between the hydrophilic PEG structure and the hydrophilic daunosamine moiety of Dox. As an alternative, gelation kinetics of hydrogels can be more accurately determined by following other structural or mechanical transitions occurring over time, related to alteration of UV-Vis absorbance, storage modulus (G’) or the dichroic signal.48 In this perspective, we recorded the CD spectra of Dox filled hydrogels at several time points in the spectral region between 300 and 200 nm (see Figure 2C–F). From the inspection of all the CD spectra, it clearly appears an evolution of the dichroic signal towards a stable state, in which we can assume that the HG has reached its final arrangement. The co-existence of several conformational states in the solution is also confirmed by isosbestic points between 220 and 240 nm and around 267 nm for PEG8-(FY)3 containing HGs. By plotting the optical density (OD) in the relative minima for each sample, we were able to extrapolate the gelation times (see Figure S3). These times, evaluated from the CD measurements, were found in good agreement with the gelation times observed following the transition from the opaque to limpid form.", "The preparation of pure Fmoc-FF and mixed nanogels loaded with Dox was achieved according to the top-down methodology.41 In this approach, macroscopic discs of hydrogels (1.0%wt) loaded with Dox (0.018 mol L−1) were prepared into silicone molds according to the above-described protocol. Successively, these discs were homogenized into an aqueous solution of TWEEN®60 (polyethylene glycol sorbitan monostearate) and SPAN®60 (Sorbitan stearate) as stabilizing agents. The combination of this couple of surfactants permits to achieve a hydrophilic/lipophilic balance (HLB) value ranged between 4.7 and 14.9. Due to the similar behavior exhibited by the four mixed HG formulations in terms of DLC and stability, we decided to prepare only one of the four mixed formulations, ie, Fmoc-FF/(FY)3 (1/1, v/v). The best Dox filled NG formulations, in terms of size and stability, were obtained using TWEEN®60/SPAN®60 at 58/42 ratio (HLB= 10) or at 100/0 ratio (HLB= 14.9) for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v), respectively. Indeed, contrarily to the pure Fmoc-FF formulation, the mixed one was found unstable when prepared with a value of HLB = 10. The resulting suspensions, further submicronized using tip sonicator, were purified from free drug using size exclusion chromatography. The red coloration of purified formulations macroscopically suggested the incorporation of the anthracycline in the NGs vehicle. Due to its spectroscopic features (λabs = 480 nm; λem= 560, 590 nm), the amount of Dox encapsulated was analytically monitored and evaluated by UV-Vis spectroscopy, by checking the absorbance in the maximum at λabs= 480 nm. DLC and ER% values for pure Fmoc-FF nanogel were 0.137% and 63%, respectively. This DLC value is similar to that of the commercially available liposomal formulations Myocet (DLC=0.127) and Doxil (DLC=0.250). Therefore, the insertion of (FY)3 peptide in the preparation causes a slight decrease of both the DLC (0.093) and the ER% (45%) with respect to the pure formulation. The lower encapsulation degree observed for mixed NGs versus pure ones can be explained considering the different amount of the net negative charge present in the two nanogels. Indeed, the peptide (FY)3 has an amidated C-terminus, significantly less acidic compared to the carboxylic one, and a basic non protected N-terminal amino group that can support a positive charge after protonation. This latter phenomenon contributes to the reduction of the total negative charge in the inner sphere of NGs, which determines lower attractive forces between the drug and the peptide system. The size of empty and filled Fmoc-FF/(FY)3 NGs, measured by Dynamic Light Scattering (DLS), was 168 and 214 nm, respectively (see Figure 3). This increase in size (~22%) is comparable to the increase of dimensions previously observed for empty (174 nm) and filled (241 nm) Fmoc-FF NGs.Figure 3DLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method.\nDLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method.", "Drug release from both hydrogels and nanogels was evaluated in 0.100 mol L−1 phosphate buffer solution up to 72 hours and the corresponding release profiles are reported in Figure 4A and B, respectively. Two different procedures were used for determination of Dox release from hydrogels and nanogels. In the first case, Dox or Doxil filled hydrogels, prepared into a conic tube, were directly put in contact with a double volume of physiological solution, cyclically replaced with a fresh one. Instead, in the second case, the release of Dox from nanogels was studied using a dialysis membrane immersed in phosphate buffer at 37°C. We assumed that the crossing of the free Dox through the dialysis membrane occurred quickly, thus, the overall release of the free drug from the peptide-based nanostructures to the dialysis bag medium could be considered to be rate determining for the process. The API release from the systems was considered undergone to a diffusion process. The Dox amount released was estimated by UV-Vis (at λabs= 480 nm) or by fluorescence spectroscopies (at λem= 590 nm) for HGs and NGs, respectively. The extent of drug was reported as a percentage of the ratio between the amount of released drug and the total drug initially loaded. From the inspection of Figure 4A, we can observe a similar release profile for all the Dox filled hydrogels during the first 24 hours. However, after 72 hours, each mixed gel exhibits a different release, with the lowest one for Fmoc-FF/(FY)3 (2/1) (16%). A low drug release (21%) was also observed for the other mixed HGs Fmoc-FF/(FY)3 (1/1). The same trend was also observed for the PEG8-(FY)3 containing hydrogels with a release of 19% and 28% for 2/1 and 1/1 ratios, respectively. These results agree with our expectations that PEGylation of the peptide could affect the rigidity and permeability of the hydrogels matrix and, in turn, the drug release. As expected, the amount of drug released from the hydrogel encapsulating Doxil (~8.5%) was lower than the drug released from the corresponding hydrogel (21%). In Figure 4B is reported the Dox release (%), which after 72 h, is around 20% and 40% for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels, respectively. Analogously to HGs, also for NGs the drug release is more appreciable during the first 8–12 h. The higher release observed for mixed NGs with respect to pure ones can be interpreted as a direct consequence of the lower electrostatic interactions occurring between the NG and the drug.Figure 4Drug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels.\nDrug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels.", "Cytotoxicity of mixed Fmoc-FF/(FY)3 (1/1, v/v) hydrogel encapsulating Dox or its liposomal formulation Doxil, at the same Dox concentration, was evaluated after 24 hours of incubation on MDA-MB-231 breast cancer cell line, using MTT assay. The cytotoxicity of the free drug, as well as of the empty hydrogels, was studied in the same conditions. HGs preparation was directly achieved into the hollow plastic chamber sealed at one end with a porous membrane. This experimental setting for hydrogels allows to mimic its conditions of utilization, in which this biocompatible support loaded with the chemotherapeutic agent is grafted at the level of the tumor lesion, where a controlled and constant drug release is achieved. During our experiments, hydrogels remain in contact with the cells for all the duration of the treatment. As shown in Figure 5A, the cell viability of empty hydrogels was found to be more than 95%. This percentage of cell survival is similar to that previously observed by us for Fmoc-FF and Fmoc-FF/(FY)3 hydrogels co-incubated with the Chinese Hamster Ovarian (CHO) cell line.38 Dox loaded hydrogels significantly reduced viability of MDA-MB-231 cells after only 24 h of incubation (49%) as well as free Dox at a concentration of 1µmol L−1 (55%). This Dox concentration corresponds to its IC50 on MDA-MB-231 cells (see Supplementary Figure S4). Due to its lower drug release, hydrogels encapsulating Doxil showed a slightly lower cytotoxicity, with a cell viability of 57%.Figure 5MDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test).Abbreviation: n.s., not significant.\nMDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test).\nOn the other hand, Figure 5B reports the cell viability of the same cell line treated with pure Fmoc-FF and mixed Fmoc-FF(FY)3 nanogels, empty or loaded with the drug, in comparison to free Dox and Doxil. Initially, we evaluated the cytotoxicity of empty nanogels as function of the total peptide concentration at three different time points (24, 48 and 72 h). We observed that there is a significant decrease in the cell viability during the first 48 h of incubation with nanogels. After this time of incubation, cell viability improves during the next 24 h (see Figure S5). This effect may be due to a temporary inhibition of the cell cycle induced by nanogels. Based on these results, cytotoxicity of NGs encapsulating Dox was checked after 72 h of incubation. Analogously to HGs, Dox loaded nanogels are able to significantly reduce breast cancer cells viability, with a cell viability of 7% and 25% for pure and mixed hydrogels, respectively. The higher cytotoxicity of pure HG with respect to the mixed one is probably attributable to the intrinsic toxicity of the empty gel.", "The intracellular internalization of Dox loaded HGs and NGs was assessed using immunofluorescence analysis on MDA-MB-231 cells treated for 24 h. Internalization of free Dox and Doxil are also reported for comparison. As indicated by the overlapping of red fluorescence associated to Dox with blue signal associated to DAPI (nucleus), the free drug can internalize into the nucleus after 24 h of incubation at 37°C (Figure 6A). Differently, Dox loaded Fmoc-FF/(FY)3 mixed hydrogel induces the internalization of Dox at peri-nuclear level since Dox signal is not perfectly overlapped with DAPI, but it is also partially detectable in the cytoplasm together with the green Actin signal (Figure 6B). The same behavior was previously observed for other liposomal Dox formulations.49,50 At the same time, doxorubicin conveyed through the nanogels remains in the cytoplasm of treated cells (Figure 6C), whereas by using Doxil the drug diffuses equally between the cytoplasm and the nucleus (Figure 6D). The different intracellular distribution of the drug in Figure 6 suggests an internalization mechanism alternative to the diffusion for the drug delivered by supramolecular systems like HGs, NGs and liposomes. One of the most accredited hypotheses is that nanogels are able to bind themselves primarily to the cellular membrane and then to enter the tumor cell via the endocytosis pathway.51,52Figure 6Immunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm.\nImmunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm.", "The administration of drugs is often affected by several issues related to systemic toxicity, chemical instability and repeated dosing requirement. Hydrogels and nanogels can represent alternative drug delivery vehicles to conventional supramolecular structures, such as vesicles, liposomes and nanostructures already developed and in clinical use. Indeed, macroscopic tridimensional HG networks could allow transepithelial drug delivery or in situ gelation process for the formation of implants, whereas nanosized nanogels could be used for systemic, oral and pulmonary administration of drugs. Due to their high biocompatibility, good biodegradability and tunability, short or ultra-short peptides represent potential attractive alternatives for preparation of HGs and NGs with respect to natural and synthetic polymers. The peptide-based HGs and NGs here formulated are obtained by using the well-known hydrogelator Fmoc-FF alone or in combination with (FY)3 peptide or its PEGylated analogue PEG8-(FY)3 at two different ratios. NGs were prepared starting from the corresponding HGs using a top-down approach in which the macroscopic hydrogel is submicronized and stabilized with commercially available biocompatible surfactants. Due to the common structure of their inner peptidic network, both NGs and HGs allow to efficiently encapsulate Dox. The gelation kinetics (from 24 to 40 minutes) and the drug release (16–28%, after 72 h) from hydrogels are clearly influenced by the hydrogel peptide composition. Analogously, the DLC values (0.137 and 0.093 for pure and mixed NGs, respectively) and the release percentages (20–40%, after 72 h) in NGs are affected by their composition in terms of net charges. Cytotoxicity assays carried out on MDA-MB-231 breast cancer cell line pointed out a high cell viability (>95%) for empty HGs and NGs, and a reduced cell viability (49–57%) for Dox loaded HGs and NGs. Moreover, immunofluorescence assays show a different cellular localization for the Dox delivered by HGs and NGs with respect to the free Dox. Indeed, contrarily to the free Dox, localized in the nucleus, HGs and NGs allow internalization of the drug at the peri-nuclear level and in the cytoplasm, respectively. This result suggests a different internalization mechanism and a different intracellular distribution and Dox release between free Dox and Dox loaded in hydrogels/nanogels. All the in vitro data we collected and analyzed for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 nanogels loaded with Dox suggest their potential use in vivo, by systemic administration, to deliver the cytotoxic drug on tumor tissues and cells. Thanks to its characteristics the new Dox loaded peptide supramolecular systems here described could be considered as promising valid alternatives to the already available liposomal Dox formulations." ]
[ "intro", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "hydrogels", "nanogels", "drug delivery", "peptide materials", "doxorubicin", "in vitro assays" ]
Introduction: Nowadays, cancer remains one of the leading causes of mortality worldwide, affecting more than 10 million new patients every year. Among cancerous diseases, breast cancer is the most common one for women in the United States with more than 200,000 newly diagnosed cases for year.1 Current treatment options include surgical resection, radiation, and chemotherapy. Chemotherapeutic regime establishes the treatment of patients with drugs (doxorubicin, docetaxel, paclitaxel, and tamoxifen) alone or in combination.2 Doxorubicin (Dox), also known as Adriamycin, is a natural antitumor antibiotic of the anthracycline class, which works as DNA intercalating agent and as an inhibitor of topoisomerase II.3 Despite its therapeutic potentiality, clinical use of Dox is hampered by its dose-limiting toxicity, represented by myelosuppression and cardiotoxic side effects, which cause increased cardiovascular risks.4 In addition, Dox-mediated cardiotoxicity was found to be cumulative and dose-dependent, with heart suffering from the very first dose and then with accumulative damage for each following anthracycline cycle.5,6 In order to overcome these drawbacks, Dox encapsulating nanoformulations has been proposed as an alternative strategy for its administration. Currently, two doxorubicin liposomal formulations, Caelyx®/Doxil® and Myocet®, and their bioequivalent formulations, are available in the clinic.7,8 The liposomal spatial confinement of Dox allows altering biodistribution of the drug, minimizing its toxicity, increasing the half-life and the therapeutic index and improving the pharmaceutical profile, thus leading to increased patient compliance.9,10 In the last years, other typologies of nanosized structures, including polymer-based aggregates,11 nanofibers,12 nanodisks,13 gold nanoparticles,14 graphene and graphene oxide15,16 and hydrogels (HGs), were evaluated and studied as novel Dox-delivery tools. HGs are self-supporting materials, structured as supramolecular hydrophilic networks associated with the construction of space-spanning structures characterized by a non-Newtonian behavior. The hydrophilic nature of HGs constituents allows entrapping a high volume of biological fluids and water during the swelling process.17 3D-connectivity in physical cross-linked HGs is related to aggregation/interaction of molecules, cooperating through non-covalent interactions or via chemical irreversible bonds. Due to their unique structure, HGs have been exploited as versatile tools for many different biomedical applications (such as 3D-extracellular matrices for wound healing systems,18 cell support for tissue engineering and regeneration,19,20 protein mimetics,21 ophthalmic compatible materials,22 and drug delivery systems23). Submicronization of HGs by top-down methodologies gives the possibility to generate smaller hydrogel particles with a size in the nano-range.24 These hydrogel nanoparticles, named nanogels (NGs), combine the same hydrated inner network of hydrogels with the size of injectable nanoparticles, such as micelles and liposomes.25 Due to their size, nanogel formulations could achieve a fast renal clearance, a feasible penetration through tissue barriers and a prolonged circulation time in the blood stream. Hydrogels and nanogels can be prepared using synthetic26–28 or natural polymers29–32 or peptide sequences.33,34 With respect to polymers, peptides exhibit several advantages such as high biocompatibility, biodegradability and tunability. Fmoc-FF (Nα-fluorenylmethyloxycarbonyl diphenylalanine) hydrogelator (Figure 1) represents one of the most studied peptide sequences for hydrogels formulation, thanks to its capability to gelificate under physiological conditions, required for biomedical applications.35–37 Recently, we have described the preparation of pure Fmoc-FF and mixed Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 (at 2/1 or 1/1, v/v) hydrogels.38 PEG8-(FY)3 and (FY)3 are the PEGylated and the non-PEGylated versions of the (FY)3 hexapeptide, this latter containing as peptide framework the alternation of three tyrosine (Y) and three phenylalanine (F) residues.39 The rheological characterization of the mixed gels pointed out that the presence of PEG and its relative amount into the mixed gel causes a slowing down of the gelation kinetic and a decrease of the gel rigidity. This different behavior was attributed to the high flexibility and conformational freedom of the PEG chain in the mixed hydrogel. Independently of their composition, all the gels showed an in vitro cell viability higher than 95% after 24 h of incubation, thus suggesting their potential applications in the biomedical field.Figure 1Schematic representation of components and methodologies for the formulation of HGs and NGs. Chemical formulas for peptide-based components are reported in the legend. Schematic representation of components and methodologies for the formulation of HGs and NGs. Chemical formulas for peptide-based components are reported in the legend. Here we describe the Dox loading capability of hydrogels and nanogels (both pure and mixed) and their drug release properties over time. We also report the in vitro cytotoxicity of both empty and Dox filled HGs and NGs on MDA-MB-231 breast cancer cell line representative of Triple Negative Breast Cancer (TNBC), the most aggressive breast cancer subtype.40 These results are compared with empty and Dox filled nanogel formulations,41 obtained sub-micronizing hydrogels by a top-down method. We also checked the capability of peptide-based hydrogels to encapsulate supramolecular nanodrugs and we studied their effective cytotoxicity on cells. For instance, as nanodrug we chose the liposomal doxorubicin formulation Doxil. This strategy could allow to obtain a composite drug delivery platform for a multi-stage delivery of Dox. Materials and Methods: Protected Nα-Fmoc-amino acid derivatives, coupling reagents, and Rink amide MBHA (4-methylbenzhydrylamine) resin were purchased from Calbiochem-Novabiochem (Laufelfingen, Switzerland). The monodisperse Fmoc-8-amino-3,6-dioxaoctanoic acid (Fmoc- AdOO-OH, PEG2) was purchased from Neosystem (Strasbourg, France). Lyophilized Fmoc-FF powder was purchased from Bachem (Bubendorf, Switzerland). Doxorubicin chlorohydrate (Dox.HCl) was purchased from Sigma Aldrich (Milan, Italy). Pegylated liposomal Dox (commercial name of Doxil) vials were kindly gifted by the Italian Cancer Institute in Naples (Italy) “Fondazione G. Pascale”. TWEEN®60, SPAN®60, and all other chemicals and solvents were purchased from Sigma-Aldrich, Fluka (Bucks, Switzerland) or LabScan (Stillorgan, Dublin, Ireland) and were used as received unless otherwise stated. All solutions were obtained by weight using doubly distilled water as a solvent. UV-Vis spectra were recorded on a Thermo Fisher Scientific Inc (Wilmington, Delaware USA) Nanodrop 2000c, equipped with a 1.0 cm quartz cuvette (Hellma). Peptide Synthesis (FY)3 and its PEGylated analogue PEG8-(FY)3 peptide derivative were synthesized by peptide solid phase synthesis (SPPS) procedures with a Fmoc/tBu chemistry approach as previously described39,42,43 and purified by RP-HPLC chromatography. (FY)3 and its PEGylated analogue PEG8-(FY)3 peptide derivative were synthesized by peptide solid phase synthesis (SPPS) procedures with a Fmoc/tBu chemistry approach as previously described39,42,43 and purified by RP-HPLC chromatography. Hydrogels and Nanogels Formulation Pure Fmoc-FF hydrogel and mixed Fmoc-FF/PEG8-(FY)3 and Fmoc-FF/(FY)3 hydrogels (1/1 or 2/1, v/v) were prepared as previously described using the “solvent-switch method”44 to a final concentration of 0.5 wt%.38 Briefly, each peptide component (Fmoc-FF, (FY)3 and PEG8-(FY)3) was dissolved in dimethyl sulfoxide (DMSO) to a final concentration of 100 mg/mL. Pure Fmoc-FF hydrogel (400 µL) was obtained by diluting 20 µL of the Fmoc-FF stock solution with 380 μL of double distilled water under stirring (5 seconds). Preparation of all the mixed hydrogels was achieved analogously, by combining the peptides stock solutions at the desired volume/volume ratios. Pure and mixed nanogel formulations were prepared as previously described according to the top-down method.41 Briefly, the gel disk obtained into a silicone mold was homogenized at 35,000 min−1 for 5 min into 4 mL of an aqueous solution containing TWEEN 60/SPAN 60 at a w/w ratio of 52/48 (3.10–5 mol) for pure Fmoc-FF NGs and only TWEEN 60 (3.10–5 mol) for mixed Fmoc-FF/(FY)3 NGs. The resulting suspensions were then tip sonicated for 5 min at 9 W. Pure Fmoc-FF hydrogel and mixed Fmoc-FF/PEG8-(FY)3 and Fmoc-FF/(FY)3 hydrogels (1/1 or 2/1, v/v) were prepared as previously described using the “solvent-switch method”44 to a final concentration of 0.5 wt%.38 Briefly, each peptide component (Fmoc-FF, (FY)3 and PEG8-(FY)3) was dissolved in dimethyl sulfoxide (DMSO) to a final concentration of 100 mg/mL. Pure Fmoc-FF hydrogel (400 µL) was obtained by diluting 20 µL of the Fmoc-FF stock solution with 380 μL of double distilled water under stirring (5 seconds). Preparation of all the mixed hydrogels was achieved analogously, by combining the peptides stock solutions at the desired volume/volume ratios. Pure and mixed nanogel formulations were prepared as previously described according to the top-down method.41 Briefly, the gel disk obtained into a silicone mold was homogenized at 35,000 min−1 for 5 min into 4 mL of an aqueous solution containing TWEEN 60/SPAN 60 at a w/w ratio of 52/48 (3.10–5 mol) for pure Fmoc-FF NGs and only TWEEN 60 (3.10–5 mol) for mixed Fmoc-FF/(FY)3 NGs. The resulting suspensions were then tip sonicated for 5 min at 9 W. Doxorubicin Filled Hydrogels and Nanogels Dox filled hydrogels were prepared as described above by adding 380 µL of an aqueous Dox solution at a concentration of 4.0.10–3 mol L−1 to the peptide stock solutions. Dox filled nanogels were prepared according to the top-down methodology as previously described.41 Shorty, a disk of pure or mixed hydrogel loaded with Dox was prepared adding the stock solution of peptide (100 mg/mL) to 900 μL of an aqueous solution of Dox (0.018 mol L−1), which allows to reach a drug weight/lipid weight ratio of 0.250. Then, the hydrogel disk was homogenized, and tip sonicated into 4 mL of TWEEN 60/SPAN 60 mixture or TWEEN 60, according to the empty formulation. Purification of Dox filled nanogels from free Dox was achieved by gel filtration on a pre-packed column Sephadex G-50. The drug loading content (DLC), defined as gDox encapsulated/g(surfactant+peptide), was quantified by subtraction of the free Dox from the total amount of loaded Dox. The Dox concentration was determined by UV-Vis spectroscopy using calibration curves obtained by measuring absorbance at λ = 480 nm. Dox filled hydrogels were prepared as described above by adding 380 µL of an aqueous Dox solution at a concentration of 4.0.10–3 mol L−1 to the peptide stock solutions. Dox filled nanogels were prepared according to the top-down methodology as previously described.41 Shorty, a disk of pure or mixed hydrogel loaded with Dox was prepared adding the stock solution of peptide (100 mg/mL) to 900 μL of an aqueous solution of Dox (0.018 mol L−1), which allows to reach a drug weight/lipid weight ratio of 0.250. Then, the hydrogel disk was homogenized, and tip sonicated into 4 mL of TWEEN 60/SPAN 60 mixture or TWEEN 60, according to the empty formulation. Purification of Dox filled nanogels from free Dox was achieved by gel filtration on a pre-packed column Sephadex G-50. The drug loading content (DLC), defined as gDox encapsulated/g(surfactant+peptide), was quantified by subtraction of the free Dox from the total amount of loaded Dox. The Dox concentration was determined by UV-Vis spectroscopy using calibration curves obtained by measuring absorbance at λ = 480 nm. Doxil Filled Hydrogels Doxil filled hydrogels were prepared analogously to Dox filled ones, by adding 380 µL of the commercial Doxil solution opportunely diluted in order to achieve the same Dox concentration (4.0.10–3 mol L−1) that was in the HGs. Doxil filled hydrogels were prepared analogously to Dox filled ones, by adding 380 µL of the commercial Doxil solution opportunely diluted in order to achieve the same Dox concentration (4.0.10–3 mol L−1) that was in the HGs. Circular Dichroism (CD) Far-UV CD spectra of Dox filled hydrogels and nanogels were collected on a Jasco J-810 spectropolarimeter equipped with a NesLab RTE111 thermal controller unit at 25°C. 100 µL of a hydrated DMSO stock solution (immediately after its generation) were placed on a 0.1 mm quartz cell. The measurements were recorded as function of the time (every 8 minutes) in the range of wavelength between 300 and 200 nm. Other experimental settings were: scan speed = 50 nm min−1, sensitivity = 10 mdeg, time constant = 16 s, bandwidth = 1 nm. Each spectrum was obtained by averaging three scans. All the spectra are reported in optical density (O.D.). Far-UV CD spectra of Dox filled hydrogels and nanogels were collected on a Jasco J-810 spectropolarimeter equipped with a NesLab RTE111 thermal controller unit at 25°C. 100 µL of a hydrated DMSO stock solution (immediately after its generation) were placed on a 0.1 mm quartz cell. The measurements were recorded as function of the time (every 8 minutes) in the range of wavelength between 300 and 200 nm. Other experimental settings were: scan speed = 50 nm min−1, sensitivity = 10 mdeg, time constant = 16 s, bandwidth = 1 nm. Each spectrum was obtained by averaging three scans. All the spectra are reported in optical density (O.D.). Confocal Analysis For confocal microscopy, Dox filled hydrogels were drop-casted and spread on a glass slide, air-dried at room temperature, and examined by confocal microscopy. Confocal images were obtained with a Leica TCS-SMD-SP5 confocal microscope (λexc = 488 nm and λem = 505–600 nm). 0.8-µm thick optical slices were acquired with a 63× or 40×/1.4 NA objective. For confocal microscopy, Dox filled hydrogels were drop-casted and spread on a glass slide, air-dried at room temperature, and examined by confocal microscopy. Confocal images were obtained with a Leica TCS-SMD-SP5 confocal microscope (λexc = 488 nm and λem = 505–600 nm). 0.8-µm thick optical slices were acquired with a 63× or 40×/1.4 NA objective. Dynamic Light Scattering (DLS) Measurements Mean diameters and diffusion coefficients (D) of empty and Dox filled NGs were estimated by DLS using a Zetasizer Nano ZS (Malvern Instruments, Westborough, MA). Instrumental settings for the measurements are a backscatter detector at 173° in automatic modality, room temperature and disposable sizing cuvette as cell. DLS measurements in triplicate were carried out on aqueous samples after centrifugation at room temperature at 13,000 rpm for 5 minutes. Mean diameters and diffusion coefficients (D) of empty and Dox filled NGs were estimated by DLS using a Zetasizer Nano ZS (Malvern Instruments, Westborough, MA). Instrumental settings for the measurements are a backscatter detector at 173° in automatic modality, room temperature and disposable sizing cuvette as cell. DLS measurements in triplicate were carried out on aqueous samples after centrifugation at room temperature at 13,000 rpm for 5 minutes. Dox Release from Hydrogels and Nanogels Dox and Doxil release from hydrogels were evaluated in a conic tube (1.5 mL) using 400 µL of drug filled hydrogels (0.5% wt) adding, on the top of them, 800 µL of 0.100 mol L−1 phosphate buffer. At each time-point, 400 µL of this solution was removed and replaced with an equal fresh aliquot. Released Dox was quantified by UV-Vis spectrum of the supernatant at 480 nm. All the release experiments were performed in triplicates. The extent of Dox release was reported as percentage of the ratio between the amount of released drug and the total quantity of drug initially loaded into hydrogels. Dox release from nanogels was achieved using the well-known dialysis method.45 Briefly, Dox loaded nanogel suspension (1.0 mL) was placed into a dialysis bag (MW cut-off = 3500 Da). This bag was immersed under stirring for 72 h, at 37°C into 20 mL of phosphate buffer. Then, 2 mL of the dialyzed solution was replaced with an equal amount of fresh solution at different time points. Fluorescence measurements of each fraction of the dialyzed solution were recorded at room temperature with a spectrofluorophotometer Jasco (Model FP-750, Japan) in a quartz cell with 1.0 cm path length. The other settings were as follows: excitation and emission bandwidths = 5 nm, recording speed = 125 nm/min, and excitation wavelength = 480 nm, emission range from 490 to 700 nm. The amount of doxorubicin contained in each fraction was estimated using an analytical titration curve previously recorded for the free Dox in the same spectral range. Analogously to HGs, Dox release profile from NGs was reported as percentage of released drug/total drug loaded into NGs. Dox and Doxil release from hydrogels were evaluated in a conic tube (1.5 mL) using 400 µL of drug filled hydrogels (0.5% wt) adding, on the top of them, 800 µL of 0.100 mol L−1 phosphate buffer. At each time-point, 400 µL of this solution was removed and replaced with an equal fresh aliquot. Released Dox was quantified by UV-Vis spectrum of the supernatant at 480 nm. All the release experiments were performed in triplicates. The extent of Dox release was reported as percentage of the ratio between the amount of released drug and the total quantity of drug initially loaded into hydrogels. Dox release from nanogels was achieved using the well-known dialysis method.45 Briefly, Dox loaded nanogel suspension (1.0 mL) was placed into a dialysis bag (MW cut-off = 3500 Da). This bag was immersed under stirring for 72 h, at 37°C into 20 mL of phosphate buffer. Then, 2 mL of the dialyzed solution was replaced with an equal amount of fresh solution at different time points. Fluorescence measurements of each fraction of the dialyzed solution were recorded at room temperature with a spectrofluorophotometer Jasco (Model FP-750, Japan) in a quartz cell with 1.0 cm path length. The other settings were as follows: excitation and emission bandwidths = 5 nm, recording speed = 125 nm/min, and excitation wavelength = 480 nm, emission range from 490 to 700 nm. The amount of doxorubicin contained in each fraction was estimated using an analytical titration curve previously recorded for the free Dox in the same spectral range. Analogously to HGs, Dox release profile from NGs was reported as percentage of released drug/total drug loaded into NGs. Cell Line Human breast cancer cell line MDA-MB-231 was obtained from IRCCS-SDN Biobank (10.5334/ojb.26) and growth in Dulbecco’s Modified Medium (DMEM) supplemented with 10% fetal bovine serum (FBS) and 1% GlutaMAX. Cells were incubated at 37°C and 5% CO2 and seeded in T-25 culture flasks. Human breast cancer cell line MDA-MB-231 was obtained from IRCCS-SDN Biobank (10.5334/ojb.26) and growth in Dulbecco’s Modified Medium (DMEM) supplemented with 10% fetal bovine serum (FBS) and 1% GlutaMAX. Cells were incubated at 37°C and 5% CO2 and seeded in T-25 culture flasks. Cell Viability Evaluation by MTT For MTT assays (Sigma Aldrich, Germany), MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well. After 24 h free Dox at 1µmol L−1, nanogels and hydrogels (these latter preformed into a hollow plastic chamber sealed at one end with a porous membrane) were added to the wells. Cells were treated with the hydrogels for 24 h and with nanogel solutions for 72 h. At the end of the treatment, cell viability was assessed by the MTT assay. For the IC50 determination of Dox, MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well and treated with different concentrations (0.25, 0.5, 1, 2 and 4 µmol L−1) of Dox for 24 h. At the end of the treatment, cell viability was assessed by the MTT assay. In brief, MTT, dissolved in DMEM in the absence of phenol red (Sigma-Aldrich), was added to the cells at a final concentration of 0.5 mg/mL. After 4 h incubation at 37°C, the culture medium was removed, and the resulting formazan salts were dissolved by adding isopropanol containing 0.1 mol L−1 HCl and 10% Triton-X100. Absorbance values of blue formazan were determined at 490 nm using an automatic plate reader (EL 800, Biotek). Cell survival was expressed as percentage of viable cells in the presence of hydrogels or nanogels, compared to control cells grown in their absence. MTT assay was repeated twice with similar results. For MTT assays (Sigma Aldrich, Germany), MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well. After 24 h free Dox at 1µmol L−1, nanogels and hydrogels (these latter preformed into a hollow plastic chamber sealed at one end with a porous membrane) were added to the wells. Cells were treated with the hydrogels for 24 h and with nanogel solutions for 72 h. At the end of the treatment, cell viability was assessed by the MTT assay. For the IC50 determination of Dox, MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well and treated with different concentrations (0.25, 0.5, 1, 2 and 4 µmol L−1) of Dox for 24 h. At the end of the treatment, cell viability was assessed by the MTT assay. In brief, MTT, dissolved in DMEM in the absence of phenol red (Sigma-Aldrich), was added to the cells at a final concentration of 0.5 mg/mL. After 4 h incubation at 37°C, the culture medium was removed, and the resulting formazan salts were dissolved by adding isopropanol containing 0.1 mol L−1 HCl and 10% Triton-X100. Absorbance values of blue formazan were determined at 490 nm using an automatic plate reader (EL 800, Biotek). Cell survival was expressed as percentage of viable cells in the presence of hydrogels or nanogels, compared to control cells grown in their absence. MTT assay was repeated twice with similar results. Immunofluorescence Experiments MDA-MB-231 cells were treated for 24 h with 1µmol L−1 free Dox or 1.13 mmol L−1 Dox loaded Fmoc-FF/(FY)3 hydrogels and Fmoc-FF/(FY)3 nanogels. Cells were fixed at -20 °C for 15 minutes with a -80 °C pre-cooled solution of methanol/acetone (1/1, v/v). Subsequently, cells were subjected to blocking with solution of 3% (w/v) BSA in PBS pH 7.4 at room temperature (RT). Anti B-actin (A2228, Sigma Aldrich) monoclonal antibody was diluted 1:200 in a solution of PBS + 1% (w/v) BSA and then all slides were incubated for 4 h at + 4°C. After three washing steps in PBS for 5 minutes each, FITC-conjugated anti-mouse secondary antibody (ab7064, Abcam, UK) diluted 1:400 in a solution of PBS + 1% (w/v) BSA was incubated for 1 h at 4°C in the dark. After additional three washing steps in PBS, a solution of 4′,6-Diamidino-2-Phenylindole, Dihydrochloride (DAPI, Thermo Fischer Scientific D1306) diluted 35,000-fold in PBS was used and it was left to act for 10 minutes at RT in the dark to color the nuclei. Images were obtained using an automated upright microscope system (Leica DM5500 B) coupled with Leica Cytovision software. Statistical Analyses All statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified. All statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified. MDA-MB-231 cells were treated for 24 h with 1µmol L−1 free Dox or 1.13 mmol L−1 Dox loaded Fmoc-FF/(FY)3 hydrogels and Fmoc-FF/(FY)3 nanogels. Cells were fixed at -20 °C for 15 minutes with a -80 °C pre-cooled solution of methanol/acetone (1/1, v/v). Subsequently, cells were subjected to blocking with solution of 3% (w/v) BSA in PBS pH 7.4 at room temperature (RT). Anti B-actin (A2228, Sigma Aldrich) monoclonal antibody was diluted 1:200 in a solution of PBS + 1% (w/v) BSA and then all slides were incubated for 4 h at + 4°C. After three washing steps in PBS for 5 minutes each, FITC-conjugated anti-mouse secondary antibody (ab7064, Abcam, UK) diluted 1:400 in a solution of PBS + 1% (w/v) BSA was incubated for 1 h at 4°C in the dark. After additional three washing steps in PBS, a solution of 4′,6-Diamidino-2-Phenylindole, Dihydrochloride (DAPI, Thermo Fischer Scientific D1306) diluted 35,000-fold in PBS was used and it was left to act for 10 minutes at RT in the dark to color the nuclei. Images were obtained using an automated upright microscope system (Leica DM5500 B) coupled with Leica Cytovision software. Statistical Analyses All statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified. All statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified. Peptide Synthesis: (FY)3 and its PEGylated analogue PEG8-(FY)3 peptide derivative were synthesized by peptide solid phase synthesis (SPPS) procedures with a Fmoc/tBu chemistry approach as previously described39,42,43 and purified by RP-HPLC chromatography. Hydrogels and Nanogels Formulation: Pure Fmoc-FF hydrogel and mixed Fmoc-FF/PEG8-(FY)3 and Fmoc-FF/(FY)3 hydrogels (1/1 or 2/1, v/v) were prepared as previously described using the “solvent-switch method”44 to a final concentration of 0.5 wt%.38 Briefly, each peptide component (Fmoc-FF, (FY)3 and PEG8-(FY)3) was dissolved in dimethyl sulfoxide (DMSO) to a final concentration of 100 mg/mL. Pure Fmoc-FF hydrogel (400 µL) was obtained by diluting 20 µL of the Fmoc-FF stock solution with 380 μL of double distilled water under stirring (5 seconds). Preparation of all the mixed hydrogels was achieved analogously, by combining the peptides stock solutions at the desired volume/volume ratios. Pure and mixed nanogel formulations were prepared as previously described according to the top-down method.41 Briefly, the gel disk obtained into a silicone mold was homogenized at 35,000 min−1 for 5 min into 4 mL of an aqueous solution containing TWEEN 60/SPAN 60 at a w/w ratio of 52/48 (3.10–5 mol) for pure Fmoc-FF NGs and only TWEEN 60 (3.10–5 mol) for mixed Fmoc-FF/(FY)3 NGs. The resulting suspensions were then tip sonicated for 5 min at 9 W. Doxorubicin Filled Hydrogels and Nanogels: Dox filled hydrogels were prepared as described above by adding 380 µL of an aqueous Dox solution at a concentration of 4.0.10–3 mol L−1 to the peptide stock solutions. Dox filled nanogels were prepared according to the top-down methodology as previously described.41 Shorty, a disk of pure or mixed hydrogel loaded with Dox was prepared adding the stock solution of peptide (100 mg/mL) to 900 μL of an aqueous solution of Dox (0.018 mol L−1), which allows to reach a drug weight/lipid weight ratio of 0.250. Then, the hydrogel disk was homogenized, and tip sonicated into 4 mL of TWEEN 60/SPAN 60 mixture or TWEEN 60, according to the empty formulation. Purification of Dox filled nanogels from free Dox was achieved by gel filtration on a pre-packed column Sephadex G-50. The drug loading content (DLC), defined as gDox encapsulated/g(surfactant+peptide), was quantified by subtraction of the free Dox from the total amount of loaded Dox. The Dox concentration was determined by UV-Vis spectroscopy using calibration curves obtained by measuring absorbance at λ = 480 nm. Doxil Filled Hydrogels: Doxil filled hydrogels were prepared analogously to Dox filled ones, by adding 380 µL of the commercial Doxil solution opportunely diluted in order to achieve the same Dox concentration (4.0.10–3 mol L−1) that was in the HGs. Circular Dichroism (CD): Far-UV CD spectra of Dox filled hydrogels and nanogels were collected on a Jasco J-810 spectropolarimeter equipped with a NesLab RTE111 thermal controller unit at 25°C. 100 µL of a hydrated DMSO stock solution (immediately after its generation) were placed on a 0.1 mm quartz cell. The measurements were recorded as function of the time (every 8 minutes) in the range of wavelength between 300 and 200 nm. Other experimental settings were: scan speed = 50 nm min−1, sensitivity = 10 mdeg, time constant = 16 s, bandwidth = 1 nm. Each spectrum was obtained by averaging three scans. All the spectra are reported in optical density (O.D.). Confocal Analysis: For confocal microscopy, Dox filled hydrogels were drop-casted and spread on a glass slide, air-dried at room temperature, and examined by confocal microscopy. Confocal images were obtained with a Leica TCS-SMD-SP5 confocal microscope (λexc = 488 nm and λem = 505–600 nm). 0.8-µm thick optical slices were acquired with a 63× or 40×/1.4 NA objective. Dynamic Light Scattering (DLS) Measurements: Mean diameters and diffusion coefficients (D) of empty and Dox filled NGs were estimated by DLS using a Zetasizer Nano ZS (Malvern Instruments, Westborough, MA). Instrumental settings for the measurements are a backscatter detector at 173° in automatic modality, room temperature and disposable sizing cuvette as cell. DLS measurements in triplicate were carried out on aqueous samples after centrifugation at room temperature at 13,000 rpm for 5 minutes. Dox Release from Hydrogels and Nanogels: Dox and Doxil release from hydrogels were evaluated in a conic tube (1.5 mL) using 400 µL of drug filled hydrogels (0.5% wt) adding, on the top of them, 800 µL of 0.100 mol L−1 phosphate buffer. At each time-point, 400 µL of this solution was removed and replaced with an equal fresh aliquot. Released Dox was quantified by UV-Vis spectrum of the supernatant at 480 nm. All the release experiments were performed in triplicates. The extent of Dox release was reported as percentage of the ratio between the amount of released drug and the total quantity of drug initially loaded into hydrogels. Dox release from nanogels was achieved using the well-known dialysis method.45 Briefly, Dox loaded nanogel suspension (1.0 mL) was placed into a dialysis bag (MW cut-off = 3500 Da). This bag was immersed under stirring for 72 h, at 37°C into 20 mL of phosphate buffer. Then, 2 mL of the dialyzed solution was replaced with an equal amount of fresh solution at different time points. Fluorescence measurements of each fraction of the dialyzed solution were recorded at room temperature with a spectrofluorophotometer Jasco (Model FP-750, Japan) in a quartz cell with 1.0 cm path length. The other settings were as follows: excitation and emission bandwidths = 5 nm, recording speed = 125 nm/min, and excitation wavelength = 480 nm, emission range from 490 to 700 nm. The amount of doxorubicin contained in each fraction was estimated using an analytical titration curve previously recorded for the free Dox in the same spectral range. Analogously to HGs, Dox release profile from NGs was reported as percentage of released drug/total drug loaded into NGs. Cell Line: Human breast cancer cell line MDA-MB-231 was obtained from IRCCS-SDN Biobank (10.5334/ojb.26) and growth in Dulbecco’s Modified Medium (DMEM) supplemented with 10% fetal bovine serum (FBS) and 1% GlutaMAX. Cells were incubated at 37°C and 5% CO2 and seeded in T-25 culture flasks. Cell Viability Evaluation by MTT: For MTT assays (Sigma Aldrich, Germany), MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well. After 24 h free Dox at 1µmol L−1, nanogels and hydrogels (these latter preformed into a hollow plastic chamber sealed at one end with a porous membrane) were added to the wells. Cells were treated with the hydrogels for 24 h and with nanogel solutions for 72 h. At the end of the treatment, cell viability was assessed by the MTT assay. For the IC50 determination of Dox, MDA-MB-231 cells were seeded in 24-well plates at a density of 50 × 104 per well and treated with different concentrations (0.25, 0.5, 1, 2 and 4 µmol L−1) of Dox for 24 h. At the end of the treatment, cell viability was assessed by the MTT assay. In brief, MTT, dissolved in DMEM in the absence of phenol red (Sigma-Aldrich), was added to the cells at a final concentration of 0.5 mg/mL. After 4 h incubation at 37°C, the culture medium was removed, and the resulting formazan salts were dissolved by adding isopropanol containing 0.1 mol L−1 HCl and 10% Triton-X100. Absorbance values of blue formazan were determined at 490 nm using an automatic plate reader (EL 800, Biotek). Cell survival was expressed as percentage of viable cells in the presence of hydrogels or nanogels, compared to control cells grown in their absence. MTT assay was repeated twice with similar results. Immunofluorescence Experiments: MDA-MB-231 cells were treated for 24 h with 1µmol L−1 free Dox or 1.13 mmol L−1 Dox loaded Fmoc-FF/(FY)3 hydrogels and Fmoc-FF/(FY)3 nanogels. Cells were fixed at -20 °C for 15 minutes with a -80 °C pre-cooled solution of methanol/acetone (1/1, v/v). Subsequently, cells were subjected to blocking with solution of 3% (w/v) BSA in PBS pH 7.4 at room temperature (RT). Anti B-actin (A2228, Sigma Aldrich) monoclonal antibody was diluted 1:200 in a solution of PBS + 1% (w/v) BSA and then all slides were incubated for 4 h at + 4°C. After three washing steps in PBS for 5 minutes each, FITC-conjugated anti-mouse secondary antibody (ab7064, Abcam, UK) diluted 1:400 in a solution of PBS + 1% (w/v) BSA was incubated for 1 h at 4°C in the dark. After additional three washing steps in PBS, a solution of 4′,6-Diamidino-2-Phenylindole, Dihydrochloride (DAPI, Thermo Fischer Scientific D1306) diluted 35,000-fold in PBS was used and it was left to act for 10 minutes at RT in the dark to color the nuclei. Images were obtained using an automated upright microscope system (Leica DM5500 B) coupled with Leica Cytovision software. Statistical Analyses All statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified. All statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified. Statistical Analyses: All statistical analyses were performed using the Graphpad Prism 6 (Graphpad Software, Graphpad Holdings, LLC, CA, USA). Numbers of biological and/or technical replicates, as well as a description of the statistical parameters, are stated in the figure legends. All experimental images are representative of at least two independent experiments. For statistical significance, a p–value less than 0.05 was considered, unless otherwise specified. Results and Discussion: Classical administrations of active pharmaceutical ingredients (APIs) are affected by issues related to systemic toxicity, drug chemical instability and repeated dosing requirement. As previously mentioned, HGs offer convenient drug delivery approaches, allowing them to overcome these drawbacks thanks to their tunable features, modular degradability and easy formulation. Macroscopically, hydrogel-based materials belong to two different categories based on their size: hydrogels (HGs) and nanogels (NGs). The specific size-feature determines the route of administration: transepithelial drug delivery or in situ gelation process of implants for HGs and systemic, oral and pulmonary administration of APIs for nanogels.46 The knowledge about the encapsulation procedures, the efficiency of drugs loading, and the cytotoxicity profiles can steer the development of efficient vehicles. For instance, swollen HGs matrices can be loaded in different ways, acting at macroscopic level, on the fibrillary network, the mesh size or at molecular scales. Moreover, the drug release can be differently modulated according to covalent or non-covalent approaches, in which drug molecules are chemically bound on the HG matrix by stable or cleavable linkers, or they can establish electrostatic interactions with HGs building blocks. These different drug loading strategies could affect the experimental conditions of preparation (eg, solvents, pH and salt content) and in turn the biological profile of the resulting vehicle. In this perspective, comparative studies on analogies and differences between HGs and NGs may assume a great importance. Formulation and Characterization of Dox Filled HGs HGs filled with the anticancer drug Dox were prepared according to the “solvent-switch” method.41 This method consists of the addition of an aqueous solution of Dox directly into the stock peptide solution (100 mg/mL in DMSO). After few seconds of vortex, the resulting opaque metastable mixture is vertically incubated at room temperature until the formation of a limpid, translucent self-supportive hydrogel. Dox filled hydrogels Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 at two different ratios (1/1 or 2/1, v/v) were successfully formulated. Instead, in the same experimental conditions, Dox filled Fmoc-FF hydrogel appears not completely homogenous (see Figure S1). On the other hand, we observed a progressive improvement of the hydrogel homogeneity by increasing the amount (up to 0.018 mol L−1) of Dox to encapsulate (Figure S1). This behavior could be attributed to a shield effect of the charges occurring between the drug and the peptidic matrix. Although Dox filled Fmoc-FF hydrogel can be prepared, the Dox concentration is too high compared with mixed HGs and, for this reason, we did not further focus our attention on this sample. For mixed HGs, no syneresis was detected after 10 days. This specific no water-loss is an important advantage offered by HGs, thus allowing a precise modulation of water-soluble drug loaded in the system. According to this experimental evidence, we can assume that all the Dox was efficiently and quantitatively entrapped in the hydrogel matrix. The resulting Dox filled hydrogels were further characterized in their xerogel form by confocal microscopy. Confocal images of one sample (Fmoc-FF/(FY)3, 1/1) are reported in Figure 2A and B. These images clearly show the characteristic intricate network of entangled fibers,47 and their red color suggests the tight interaction of Dox with the network constituents. The amount of drug we were able to encapsulate in mixed HGs was 2.32 mg/mL. This quantity corresponds to a drug loading content (DLC) of 0.440 and to an encapsulation ratio (ER%, defined as the weight percentage of drug encapsulated in the HG on the total drug added during preparation) of 100%, respectively. This high encapsulation degree can be explained as consequence of the electrostatic interactions between the positive charge on the drug and the negative one present on the C-terminus of the Fmoc-FF peptide. Analogously to free Dox, also Doxil was efficiently encapsulated into mixed hydrogels at the same drug concentration. This is surprising due to the negative Z potential value (see Figure S2) we measured for Doxil (ζ ~ -11 mV) into the experimental conditions ([Dox] =1.13 mmol L−1) used to achieve the encapsulation into the hydrogel.Figure 2Characterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time. Characterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time. A macroscopic evaluation of the gelation kinetics for mixed drug-filled hydrogels can be done by simply following the opaque-to-transparent optic transition. As previously observed for the corresponding empty systems, a different time (between 20 and 40 minutes) is required for the gelation process of each mixed hydrogel.38 In particular, we observed a more rapid formation for mixed HGs containing PEG8-(FY)3 (24 and 30 minutes for 2/1 and 1/1, respectively) with respect to those containing (FY)3 (35 and 40 minutes for 2/1 and 1/1, respectively). Analogously to empty matrices, the gelation kinetics of Dox filled HGs is faster by increasing the amount of the Fmoc-FF. This result may be ascribable to the capability of Fmoc-FF to gelificate in a very quick time (~2 min).35 On the contrary, we observe a faster gelation for HGs containing PEG in respect to HGs lacking polymer. This result is probably due to the additional interactions occurring between the hydrophilic PEG structure and the hydrophilic daunosamine moiety of Dox. As an alternative, gelation kinetics of hydrogels can be more accurately determined by following other structural or mechanical transitions occurring over time, related to alteration of UV-Vis absorbance, storage modulus (G’) or the dichroic signal.48 In this perspective, we recorded the CD spectra of Dox filled hydrogels at several time points in the spectral region between 300 and 200 nm (see Figure 2C–F). From the inspection of all the CD spectra, it clearly appears an evolution of the dichroic signal towards a stable state, in which we can assume that the HG has reached its final arrangement. The co-existence of several conformational states in the solution is also confirmed by isosbestic points between 220 and 240 nm and around 267 nm for PEG8-(FY)3 containing HGs. By plotting the optical density (OD) in the relative minima for each sample, we were able to extrapolate the gelation times (see Figure S3). These times, evaluated from the CD measurements, were found in good agreement with the gelation times observed following the transition from the opaque to limpid form. HGs filled with the anticancer drug Dox were prepared according to the “solvent-switch” method.41 This method consists of the addition of an aqueous solution of Dox directly into the stock peptide solution (100 mg/mL in DMSO). After few seconds of vortex, the resulting opaque metastable mixture is vertically incubated at room temperature until the formation of a limpid, translucent self-supportive hydrogel. Dox filled hydrogels Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 at two different ratios (1/1 or 2/1, v/v) were successfully formulated. Instead, in the same experimental conditions, Dox filled Fmoc-FF hydrogel appears not completely homogenous (see Figure S1). On the other hand, we observed a progressive improvement of the hydrogel homogeneity by increasing the amount (up to 0.018 mol L−1) of Dox to encapsulate (Figure S1). This behavior could be attributed to a shield effect of the charges occurring between the drug and the peptidic matrix. Although Dox filled Fmoc-FF hydrogel can be prepared, the Dox concentration is too high compared with mixed HGs and, for this reason, we did not further focus our attention on this sample. For mixed HGs, no syneresis was detected after 10 days. This specific no water-loss is an important advantage offered by HGs, thus allowing a precise modulation of water-soluble drug loaded in the system. According to this experimental evidence, we can assume that all the Dox was efficiently and quantitatively entrapped in the hydrogel matrix. The resulting Dox filled hydrogels were further characterized in their xerogel form by confocal microscopy. Confocal images of one sample (Fmoc-FF/(FY)3, 1/1) are reported in Figure 2A and B. These images clearly show the characteristic intricate network of entangled fibers,47 and their red color suggests the tight interaction of Dox with the network constituents. The amount of drug we were able to encapsulate in mixed HGs was 2.32 mg/mL. This quantity corresponds to a drug loading content (DLC) of 0.440 and to an encapsulation ratio (ER%, defined as the weight percentage of drug encapsulated in the HG on the total drug added during preparation) of 100%, respectively. This high encapsulation degree can be explained as consequence of the electrostatic interactions between the positive charge on the drug and the negative one present on the C-terminus of the Fmoc-FF peptide. Analogously to free Dox, also Doxil was efficiently encapsulated into mixed hydrogels at the same drug concentration. This is surprising due to the negative Z potential value (see Figure S2) we measured for Doxil (ζ ~ -11 mV) into the experimental conditions ([Dox] =1.13 mmol L−1) used to achieve the encapsulation into the hydrogel.Figure 2Characterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time. Characterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time. A macroscopic evaluation of the gelation kinetics for mixed drug-filled hydrogels can be done by simply following the opaque-to-transparent optic transition. As previously observed for the corresponding empty systems, a different time (between 20 and 40 minutes) is required for the gelation process of each mixed hydrogel.38 In particular, we observed a more rapid formation for mixed HGs containing PEG8-(FY)3 (24 and 30 minutes for 2/1 and 1/1, respectively) with respect to those containing (FY)3 (35 and 40 minutes for 2/1 and 1/1, respectively). Analogously to empty matrices, the gelation kinetics of Dox filled HGs is faster by increasing the amount of the Fmoc-FF. This result may be ascribable to the capability of Fmoc-FF to gelificate in a very quick time (~2 min).35 On the contrary, we observe a faster gelation for HGs containing PEG in respect to HGs lacking polymer. This result is probably due to the additional interactions occurring between the hydrophilic PEG structure and the hydrophilic daunosamine moiety of Dox. As an alternative, gelation kinetics of hydrogels can be more accurately determined by following other structural or mechanical transitions occurring over time, related to alteration of UV-Vis absorbance, storage modulus (G’) or the dichroic signal.48 In this perspective, we recorded the CD spectra of Dox filled hydrogels at several time points in the spectral region between 300 and 200 nm (see Figure 2C–F). From the inspection of all the CD spectra, it clearly appears an evolution of the dichroic signal towards a stable state, in which we can assume that the HG has reached its final arrangement. The co-existence of several conformational states in the solution is also confirmed by isosbestic points between 220 and 240 nm and around 267 nm for PEG8-(FY)3 containing HGs. By plotting the optical density (OD) in the relative minima for each sample, we were able to extrapolate the gelation times (see Figure S3). These times, evaluated from the CD measurements, were found in good agreement with the gelation times observed following the transition from the opaque to limpid form. Formulation and Characterization of Dox Filled NGs The preparation of pure Fmoc-FF and mixed nanogels loaded with Dox was achieved according to the top-down methodology.41 In this approach, macroscopic discs of hydrogels (1.0%wt) loaded with Dox (0.018 mol L−1) were prepared into silicone molds according to the above-described protocol. Successively, these discs were homogenized into an aqueous solution of TWEEN®60 (polyethylene glycol sorbitan monostearate) and SPAN®60 (Sorbitan stearate) as stabilizing agents. The combination of this couple of surfactants permits to achieve a hydrophilic/lipophilic balance (HLB) value ranged between 4.7 and 14.9. Due to the similar behavior exhibited by the four mixed HG formulations in terms of DLC and stability, we decided to prepare only one of the four mixed formulations, ie, Fmoc-FF/(FY)3 (1/1, v/v). The best Dox filled NG formulations, in terms of size and stability, were obtained using TWEEN®60/SPAN®60 at 58/42 ratio (HLB= 10) or at 100/0 ratio (HLB= 14.9) for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v), respectively. Indeed, contrarily to the pure Fmoc-FF formulation, the mixed one was found unstable when prepared with a value of HLB = 10. The resulting suspensions, further submicronized using tip sonicator, were purified from free drug using size exclusion chromatography. The red coloration of purified formulations macroscopically suggested the incorporation of the anthracycline in the NGs vehicle. Due to its spectroscopic features (λabs = 480 nm; λem= 560, 590 nm), the amount of Dox encapsulated was analytically monitored and evaluated by UV-Vis spectroscopy, by checking the absorbance in the maximum at λabs= 480 nm. DLC and ER% values for pure Fmoc-FF nanogel were 0.137% and 63%, respectively. This DLC value is similar to that of the commercially available liposomal formulations Myocet (DLC=0.127) and Doxil (DLC=0.250). Therefore, the insertion of (FY)3 peptide in the preparation causes a slight decrease of both the DLC (0.093) and the ER% (45%) with respect to the pure formulation. The lower encapsulation degree observed for mixed NGs versus pure ones can be explained considering the different amount of the net negative charge present in the two nanogels. Indeed, the peptide (FY)3 has an amidated C-terminus, significantly less acidic compared to the carboxylic one, and a basic non protected N-terminal amino group that can support a positive charge after protonation. This latter phenomenon contributes to the reduction of the total negative charge in the inner sphere of NGs, which determines lower attractive forces between the drug and the peptide system. The size of empty and filled Fmoc-FF/(FY)3 NGs, measured by Dynamic Light Scattering (DLS), was 168 and 214 nm, respectively (see Figure 3). This increase in size (~22%) is comparable to the increase of dimensions previously observed for empty (174 nm) and filled (241 nm) Fmoc-FF NGs.Figure 3DLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method. DLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method. The preparation of pure Fmoc-FF and mixed nanogels loaded with Dox was achieved according to the top-down methodology.41 In this approach, macroscopic discs of hydrogels (1.0%wt) loaded with Dox (0.018 mol L−1) were prepared into silicone molds according to the above-described protocol. Successively, these discs were homogenized into an aqueous solution of TWEEN®60 (polyethylene glycol sorbitan monostearate) and SPAN®60 (Sorbitan stearate) as stabilizing agents. The combination of this couple of surfactants permits to achieve a hydrophilic/lipophilic balance (HLB) value ranged between 4.7 and 14.9. Due to the similar behavior exhibited by the four mixed HG formulations in terms of DLC and stability, we decided to prepare only one of the four mixed formulations, ie, Fmoc-FF/(FY)3 (1/1, v/v). The best Dox filled NG formulations, in terms of size and stability, were obtained using TWEEN®60/SPAN®60 at 58/42 ratio (HLB= 10) or at 100/0 ratio (HLB= 14.9) for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v), respectively. Indeed, contrarily to the pure Fmoc-FF formulation, the mixed one was found unstable when prepared with a value of HLB = 10. The resulting suspensions, further submicronized using tip sonicator, were purified from free drug using size exclusion chromatography. The red coloration of purified formulations macroscopically suggested the incorporation of the anthracycline in the NGs vehicle. Due to its spectroscopic features (λabs = 480 nm; λem= 560, 590 nm), the amount of Dox encapsulated was analytically monitored and evaluated by UV-Vis spectroscopy, by checking the absorbance in the maximum at λabs= 480 nm. DLC and ER% values for pure Fmoc-FF nanogel were 0.137% and 63%, respectively. This DLC value is similar to that of the commercially available liposomal formulations Myocet (DLC=0.127) and Doxil (DLC=0.250). Therefore, the insertion of (FY)3 peptide in the preparation causes a slight decrease of both the DLC (0.093) and the ER% (45%) with respect to the pure formulation. The lower encapsulation degree observed for mixed NGs versus pure ones can be explained considering the different amount of the net negative charge present in the two nanogels. Indeed, the peptide (FY)3 has an amidated C-terminus, significantly less acidic compared to the carboxylic one, and a basic non protected N-terminal amino group that can support a positive charge after protonation. This latter phenomenon contributes to the reduction of the total negative charge in the inner sphere of NGs, which determines lower attractive forces between the drug and the peptide system. The size of empty and filled Fmoc-FF/(FY)3 NGs, measured by Dynamic Light Scattering (DLS), was 168 and 214 nm, respectively (see Figure 3). This increase in size (~22%) is comparable to the increase of dimensions previously observed for empty (174 nm) and filled (241 nm) Fmoc-FF NGs.Figure 3DLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method. DLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method. Drug Release from HGs and NGs Drug release from both hydrogels and nanogels was evaluated in 0.100 mol L−1 phosphate buffer solution up to 72 hours and the corresponding release profiles are reported in Figure 4A and B, respectively. Two different procedures were used for determination of Dox release from hydrogels and nanogels. In the first case, Dox or Doxil filled hydrogels, prepared into a conic tube, were directly put in contact with a double volume of physiological solution, cyclically replaced with a fresh one. Instead, in the second case, the release of Dox from nanogels was studied using a dialysis membrane immersed in phosphate buffer at 37°C. We assumed that the crossing of the free Dox through the dialysis membrane occurred quickly, thus, the overall release of the free drug from the peptide-based nanostructures to the dialysis bag medium could be considered to be rate determining for the process. The API release from the systems was considered undergone to a diffusion process. The Dox amount released was estimated by UV-Vis (at λabs= 480 nm) or by fluorescence spectroscopies (at λem= 590 nm) for HGs and NGs, respectively. The extent of drug was reported as a percentage of the ratio between the amount of released drug and the total drug initially loaded. From the inspection of Figure 4A, we can observe a similar release profile for all the Dox filled hydrogels during the first 24 hours. However, after 72 hours, each mixed gel exhibits a different release, with the lowest one for Fmoc-FF/(FY)3 (2/1) (16%). A low drug release (21%) was also observed for the other mixed HGs Fmoc-FF/(FY)3 (1/1). The same trend was also observed for the PEG8-(FY)3 containing hydrogels with a release of 19% and 28% for 2/1 and 1/1 ratios, respectively. These results agree with our expectations that PEGylation of the peptide could affect the rigidity and permeability of the hydrogels matrix and, in turn, the drug release. As expected, the amount of drug released from the hydrogel encapsulating Doxil (~8.5%) was lower than the drug released from the corresponding hydrogel (21%). In Figure 4B is reported the Dox release (%), which after 72 h, is around 20% and 40% for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels, respectively. Analogously to HGs, also for NGs the drug release is more appreciable during the first 8–12 h. The higher release observed for mixed NGs with respect to pure ones can be interpreted as a direct consequence of the lower electrostatic interactions occurring between the NG and the drug.Figure 4Drug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels. Drug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels. Drug release from both hydrogels and nanogels was evaluated in 0.100 mol L−1 phosphate buffer solution up to 72 hours and the corresponding release profiles are reported in Figure 4A and B, respectively. Two different procedures were used for determination of Dox release from hydrogels and nanogels. In the first case, Dox or Doxil filled hydrogels, prepared into a conic tube, were directly put in contact with a double volume of physiological solution, cyclically replaced with a fresh one. Instead, in the second case, the release of Dox from nanogels was studied using a dialysis membrane immersed in phosphate buffer at 37°C. We assumed that the crossing of the free Dox through the dialysis membrane occurred quickly, thus, the overall release of the free drug from the peptide-based nanostructures to the dialysis bag medium could be considered to be rate determining for the process. The API release from the systems was considered undergone to a diffusion process. The Dox amount released was estimated by UV-Vis (at λabs= 480 nm) or by fluorescence spectroscopies (at λem= 590 nm) for HGs and NGs, respectively. The extent of drug was reported as a percentage of the ratio between the amount of released drug and the total drug initially loaded. From the inspection of Figure 4A, we can observe a similar release profile for all the Dox filled hydrogels during the first 24 hours. However, after 72 hours, each mixed gel exhibits a different release, with the lowest one for Fmoc-FF/(FY)3 (2/1) (16%). A low drug release (21%) was also observed for the other mixed HGs Fmoc-FF/(FY)3 (1/1). The same trend was also observed for the PEG8-(FY)3 containing hydrogels with a release of 19% and 28% for 2/1 and 1/1 ratios, respectively. These results agree with our expectations that PEGylation of the peptide could affect the rigidity and permeability of the hydrogels matrix and, in turn, the drug release. As expected, the amount of drug released from the hydrogel encapsulating Doxil (~8.5%) was lower than the drug released from the corresponding hydrogel (21%). In Figure 4B is reported the Dox release (%), which after 72 h, is around 20% and 40% for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels, respectively. Analogously to HGs, also for NGs the drug release is more appreciable during the first 8–12 h. The higher release observed for mixed NGs with respect to pure ones can be interpreted as a direct consequence of the lower electrostatic interactions occurring between the NG and the drug.Figure 4Drug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels. Drug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels. Cytotoxicity Assays Cytotoxicity of mixed Fmoc-FF/(FY)3 (1/1, v/v) hydrogel encapsulating Dox or its liposomal formulation Doxil, at the same Dox concentration, was evaluated after 24 hours of incubation on MDA-MB-231 breast cancer cell line, using MTT assay. The cytotoxicity of the free drug, as well as of the empty hydrogels, was studied in the same conditions. HGs preparation was directly achieved into the hollow plastic chamber sealed at one end with a porous membrane. This experimental setting for hydrogels allows to mimic its conditions of utilization, in which this biocompatible support loaded with the chemotherapeutic agent is grafted at the level of the tumor lesion, where a controlled and constant drug release is achieved. During our experiments, hydrogels remain in contact with the cells for all the duration of the treatment. As shown in Figure 5A, the cell viability of empty hydrogels was found to be more than 95%. This percentage of cell survival is similar to that previously observed by us for Fmoc-FF and Fmoc-FF/(FY)3 hydrogels co-incubated with the Chinese Hamster Ovarian (CHO) cell line.38 Dox loaded hydrogels significantly reduced viability of MDA-MB-231 cells after only 24 h of incubation (49%) as well as free Dox at a concentration of 1µmol L−1 (55%). This Dox concentration corresponds to its IC50 on MDA-MB-231 cells (see Supplementary Figure S4). Due to its lower drug release, hydrogels encapsulating Doxil showed a slightly lower cytotoxicity, with a cell viability of 57%.Figure 5MDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test).Abbreviation: n.s., not significant. MDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test). On the other hand, Figure 5B reports the cell viability of the same cell line treated with pure Fmoc-FF and mixed Fmoc-FF(FY)3 nanogels, empty or loaded with the drug, in comparison to free Dox and Doxil. Initially, we evaluated the cytotoxicity of empty nanogels as function of the total peptide concentration at three different time points (24, 48 and 72 h). We observed that there is a significant decrease in the cell viability during the first 48 h of incubation with nanogels. After this time of incubation, cell viability improves during the next 24 h (see Figure S5). This effect may be due to a temporary inhibition of the cell cycle induced by nanogels. Based on these results, cytotoxicity of NGs encapsulating Dox was checked after 72 h of incubation. Analogously to HGs, Dox loaded nanogels are able to significantly reduce breast cancer cells viability, with a cell viability of 7% and 25% for pure and mixed hydrogels, respectively. The higher cytotoxicity of pure HG with respect to the mixed one is probably attributable to the intrinsic toxicity of the empty gel. Cytotoxicity of mixed Fmoc-FF/(FY)3 (1/1, v/v) hydrogel encapsulating Dox or its liposomal formulation Doxil, at the same Dox concentration, was evaluated after 24 hours of incubation on MDA-MB-231 breast cancer cell line, using MTT assay. The cytotoxicity of the free drug, as well as of the empty hydrogels, was studied in the same conditions. HGs preparation was directly achieved into the hollow plastic chamber sealed at one end with a porous membrane. This experimental setting for hydrogels allows to mimic its conditions of utilization, in which this biocompatible support loaded with the chemotherapeutic agent is grafted at the level of the tumor lesion, where a controlled and constant drug release is achieved. During our experiments, hydrogels remain in contact with the cells for all the duration of the treatment. As shown in Figure 5A, the cell viability of empty hydrogels was found to be more than 95%. This percentage of cell survival is similar to that previously observed by us for Fmoc-FF and Fmoc-FF/(FY)3 hydrogels co-incubated with the Chinese Hamster Ovarian (CHO) cell line.38 Dox loaded hydrogels significantly reduced viability of MDA-MB-231 cells after only 24 h of incubation (49%) as well as free Dox at a concentration of 1µmol L−1 (55%). This Dox concentration corresponds to its IC50 on MDA-MB-231 cells (see Supplementary Figure S4). Due to its lower drug release, hydrogels encapsulating Doxil showed a slightly lower cytotoxicity, with a cell viability of 57%.Figure 5MDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test).Abbreviation: n.s., not significant. MDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test). On the other hand, Figure 5B reports the cell viability of the same cell line treated with pure Fmoc-FF and mixed Fmoc-FF(FY)3 nanogels, empty or loaded with the drug, in comparison to free Dox and Doxil. Initially, we evaluated the cytotoxicity of empty nanogels as function of the total peptide concentration at three different time points (24, 48 and 72 h). We observed that there is a significant decrease in the cell viability during the first 48 h of incubation with nanogels. After this time of incubation, cell viability improves during the next 24 h (see Figure S5). This effect may be due to a temporary inhibition of the cell cycle induced by nanogels. Based on these results, cytotoxicity of NGs encapsulating Dox was checked after 72 h of incubation. Analogously to HGs, Dox loaded nanogels are able to significantly reduce breast cancer cells viability, with a cell viability of 7% and 25% for pure and mixed hydrogels, respectively. The higher cytotoxicity of pure HG with respect to the mixed one is probably attributable to the intrinsic toxicity of the empty gel. Determination of the Cellular Uptake by Immunofluorescence The intracellular internalization of Dox loaded HGs and NGs was assessed using immunofluorescence analysis on MDA-MB-231 cells treated for 24 h. Internalization of free Dox and Doxil are also reported for comparison. As indicated by the overlapping of red fluorescence associated to Dox with blue signal associated to DAPI (nucleus), the free drug can internalize into the nucleus after 24 h of incubation at 37°C (Figure 6A). Differently, Dox loaded Fmoc-FF/(FY)3 mixed hydrogel induces the internalization of Dox at peri-nuclear level since Dox signal is not perfectly overlapped with DAPI, but it is also partially detectable in the cytoplasm together with the green Actin signal (Figure 6B). The same behavior was previously observed for other liposomal Dox formulations.49,50 At the same time, doxorubicin conveyed through the nanogels remains in the cytoplasm of treated cells (Figure 6C), whereas by using Doxil the drug diffuses equally between the cytoplasm and the nucleus (Figure 6D). The different intracellular distribution of the drug in Figure 6 suggests an internalization mechanism alternative to the diffusion for the drug delivered by supramolecular systems like HGs, NGs and liposomes. One of the most accredited hypotheses is that nanogels are able to bind themselves primarily to the cellular membrane and then to enter the tumor cell via the endocytosis pathway.51,52Figure 6Immunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm. Immunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm. The intracellular internalization of Dox loaded HGs and NGs was assessed using immunofluorescence analysis on MDA-MB-231 cells treated for 24 h. Internalization of free Dox and Doxil are also reported for comparison. As indicated by the overlapping of red fluorescence associated to Dox with blue signal associated to DAPI (nucleus), the free drug can internalize into the nucleus after 24 h of incubation at 37°C (Figure 6A). Differently, Dox loaded Fmoc-FF/(FY)3 mixed hydrogel induces the internalization of Dox at peri-nuclear level since Dox signal is not perfectly overlapped with DAPI, but it is also partially detectable in the cytoplasm together with the green Actin signal (Figure 6B). The same behavior was previously observed for other liposomal Dox formulations.49,50 At the same time, doxorubicin conveyed through the nanogels remains in the cytoplasm of treated cells (Figure 6C), whereas by using Doxil the drug diffuses equally between the cytoplasm and the nucleus (Figure 6D). The different intracellular distribution of the drug in Figure 6 suggests an internalization mechanism alternative to the diffusion for the drug delivered by supramolecular systems like HGs, NGs and liposomes. One of the most accredited hypotheses is that nanogels are able to bind themselves primarily to the cellular membrane and then to enter the tumor cell via the endocytosis pathway.51,52Figure 6Immunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm. Immunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm. Formulation and Characterization of Dox Filled HGs: HGs filled with the anticancer drug Dox were prepared according to the “solvent-switch” method.41 This method consists of the addition of an aqueous solution of Dox directly into the stock peptide solution (100 mg/mL in DMSO). After few seconds of vortex, the resulting opaque metastable mixture is vertically incubated at room temperature until the formation of a limpid, translucent self-supportive hydrogel. Dox filled hydrogels Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 at two different ratios (1/1 or 2/1, v/v) were successfully formulated. Instead, in the same experimental conditions, Dox filled Fmoc-FF hydrogel appears not completely homogenous (see Figure S1). On the other hand, we observed a progressive improvement of the hydrogel homogeneity by increasing the amount (up to 0.018 mol L−1) of Dox to encapsulate (Figure S1). This behavior could be attributed to a shield effect of the charges occurring between the drug and the peptidic matrix. Although Dox filled Fmoc-FF hydrogel can be prepared, the Dox concentration is too high compared with mixed HGs and, for this reason, we did not further focus our attention on this sample. For mixed HGs, no syneresis was detected after 10 days. This specific no water-loss is an important advantage offered by HGs, thus allowing a precise modulation of water-soluble drug loaded in the system. According to this experimental evidence, we can assume that all the Dox was efficiently and quantitatively entrapped in the hydrogel matrix. The resulting Dox filled hydrogels were further characterized in their xerogel form by confocal microscopy. Confocal images of one sample (Fmoc-FF/(FY)3, 1/1) are reported in Figure 2A and B. These images clearly show the characteristic intricate network of entangled fibers,47 and their red color suggests the tight interaction of Dox with the network constituents. The amount of drug we were able to encapsulate in mixed HGs was 2.32 mg/mL. This quantity corresponds to a drug loading content (DLC) of 0.440 and to an encapsulation ratio (ER%, defined as the weight percentage of drug encapsulated in the HG on the total drug added during preparation) of 100%, respectively. This high encapsulation degree can be explained as consequence of the electrostatic interactions between the positive charge on the drug and the negative one present on the C-terminus of the Fmoc-FF peptide. Analogously to free Dox, also Doxil was efficiently encapsulated into mixed hydrogels at the same drug concentration. This is surprising due to the negative Z potential value (see Figure S2) we measured for Doxil (ζ ~ -11 mV) into the experimental conditions ([Dox] =1.13 mmol L−1) used to achieve the encapsulation into the hydrogel.Figure 2Characterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time. Characterization of mixed HGs. (A and B) Confocal microscopy image of Fmoc-FF/(FY)3 (1/1) xerogel loaded with Dox. Scale bar 200 (A) and 50 µm (B), respectively. CD spectrum of Fmoc-FF/(FY)3 (1/1) loaded with Dox in the visible region between 600 and 400 nm. CD spectra of DOX filled co-assembled hydrogels Fmoc-FF/(FY)3 (2/1) (C) Fmoc-FF/(FY)3 (1/1) (D) Fmoc-FF/PEG8-(FY)3 (2/1) (E) and Fmoc-FF/PEG8-(FY)3 (1/1) (F) as function of the time. A macroscopic evaluation of the gelation kinetics for mixed drug-filled hydrogels can be done by simply following the opaque-to-transparent optic transition. As previously observed for the corresponding empty systems, a different time (between 20 and 40 minutes) is required for the gelation process of each mixed hydrogel.38 In particular, we observed a more rapid formation for mixed HGs containing PEG8-(FY)3 (24 and 30 minutes for 2/1 and 1/1, respectively) with respect to those containing (FY)3 (35 and 40 minutes for 2/1 and 1/1, respectively). Analogously to empty matrices, the gelation kinetics of Dox filled HGs is faster by increasing the amount of the Fmoc-FF. This result may be ascribable to the capability of Fmoc-FF to gelificate in a very quick time (~2 min).35 On the contrary, we observe a faster gelation for HGs containing PEG in respect to HGs lacking polymer. This result is probably due to the additional interactions occurring between the hydrophilic PEG structure and the hydrophilic daunosamine moiety of Dox. As an alternative, gelation kinetics of hydrogels can be more accurately determined by following other structural or mechanical transitions occurring over time, related to alteration of UV-Vis absorbance, storage modulus (G’) or the dichroic signal.48 In this perspective, we recorded the CD spectra of Dox filled hydrogels at several time points in the spectral region between 300 and 200 nm (see Figure 2C–F). From the inspection of all the CD spectra, it clearly appears an evolution of the dichroic signal towards a stable state, in which we can assume that the HG has reached its final arrangement. The co-existence of several conformational states in the solution is also confirmed by isosbestic points between 220 and 240 nm and around 267 nm for PEG8-(FY)3 containing HGs. By plotting the optical density (OD) in the relative minima for each sample, we were able to extrapolate the gelation times (see Figure S3). These times, evaluated from the CD measurements, were found in good agreement with the gelation times observed following the transition from the opaque to limpid form. Formulation and Characterization of Dox Filled NGs: The preparation of pure Fmoc-FF and mixed nanogels loaded with Dox was achieved according to the top-down methodology.41 In this approach, macroscopic discs of hydrogels (1.0%wt) loaded with Dox (0.018 mol L−1) were prepared into silicone molds according to the above-described protocol. Successively, these discs were homogenized into an aqueous solution of TWEEN®60 (polyethylene glycol sorbitan monostearate) and SPAN®60 (Sorbitan stearate) as stabilizing agents. The combination of this couple of surfactants permits to achieve a hydrophilic/lipophilic balance (HLB) value ranged between 4.7 and 14.9. Due to the similar behavior exhibited by the four mixed HG formulations in terms of DLC and stability, we decided to prepare only one of the four mixed formulations, ie, Fmoc-FF/(FY)3 (1/1, v/v). The best Dox filled NG formulations, in terms of size and stability, were obtained using TWEEN®60/SPAN®60 at 58/42 ratio (HLB= 10) or at 100/0 ratio (HLB= 14.9) for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v), respectively. Indeed, contrarily to the pure Fmoc-FF formulation, the mixed one was found unstable when prepared with a value of HLB = 10. The resulting suspensions, further submicronized using tip sonicator, were purified from free drug using size exclusion chromatography. The red coloration of purified formulations macroscopically suggested the incorporation of the anthracycline in the NGs vehicle. Due to its spectroscopic features (λabs = 480 nm; λem= 560, 590 nm), the amount of Dox encapsulated was analytically monitored and evaluated by UV-Vis spectroscopy, by checking the absorbance in the maximum at λabs= 480 nm. DLC and ER% values for pure Fmoc-FF nanogel were 0.137% and 63%, respectively. This DLC value is similar to that of the commercially available liposomal formulations Myocet (DLC=0.127) and Doxil (DLC=0.250). Therefore, the insertion of (FY)3 peptide in the preparation causes a slight decrease of both the DLC (0.093) and the ER% (45%) with respect to the pure formulation. The lower encapsulation degree observed for mixed NGs versus pure ones can be explained considering the different amount of the net negative charge present in the two nanogels. Indeed, the peptide (FY)3 has an amidated C-terminus, significantly less acidic compared to the carboxylic one, and a basic non protected N-terminal amino group that can support a positive charge after protonation. This latter phenomenon contributes to the reduction of the total negative charge in the inner sphere of NGs, which determines lower attractive forces between the drug and the peptide system. The size of empty and filled Fmoc-FF/(FY)3 NGs, measured by Dynamic Light Scattering (DLS), was 168 and 214 nm, respectively (see Figure 3). This increase in size (~22%) is comparable to the increase of dimensions previously observed for empty (174 nm) and filled (241 nm) Fmoc-FF NGs.Figure 3DLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method. DLS profiles for empty and Dox filled Fmoc-FF/(FY)3 (1/1, v/v) nanogels prepared according to the top-down method. Drug Release from HGs and NGs: Drug release from both hydrogels and nanogels was evaluated in 0.100 mol L−1 phosphate buffer solution up to 72 hours and the corresponding release profiles are reported in Figure 4A and B, respectively. Two different procedures were used for determination of Dox release from hydrogels and nanogels. In the first case, Dox or Doxil filled hydrogels, prepared into a conic tube, were directly put in contact with a double volume of physiological solution, cyclically replaced with a fresh one. Instead, in the second case, the release of Dox from nanogels was studied using a dialysis membrane immersed in phosphate buffer at 37°C. We assumed that the crossing of the free Dox through the dialysis membrane occurred quickly, thus, the overall release of the free drug from the peptide-based nanostructures to the dialysis bag medium could be considered to be rate determining for the process. The API release from the systems was considered undergone to a diffusion process. The Dox amount released was estimated by UV-Vis (at λabs= 480 nm) or by fluorescence spectroscopies (at λem= 590 nm) for HGs and NGs, respectively. The extent of drug was reported as a percentage of the ratio between the amount of released drug and the total drug initially loaded. From the inspection of Figure 4A, we can observe a similar release profile for all the Dox filled hydrogels during the first 24 hours. However, after 72 hours, each mixed gel exhibits a different release, with the lowest one for Fmoc-FF/(FY)3 (2/1) (16%). A low drug release (21%) was also observed for the other mixed HGs Fmoc-FF/(FY)3 (1/1). The same trend was also observed for the PEG8-(FY)3 containing hydrogels with a release of 19% and 28% for 2/1 and 1/1 ratios, respectively. These results agree with our expectations that PEGylation of the peptide could affect the rigidity and permeability of the hydrogels matrix and, in turn, the drug release. As expected, the amount of drug released from the hydrogel encapsulating Doxil (~8.5%) was lower than the drug released from the corresponding hydrogel (21%). In Figure 4B is reported the Dox release (%), which after 72 h, is around 20% and 40% for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels, respectively. Analogously to HGs, also for NGs the drug release is more appreciable during the first 8–12 h. The higher release observed for mixed NGs with respect to pure ones can be interpreted as a direct consequence of the lower electrostatic interactions occurring between the NG and the drug.Figure 4Drug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels. Drug release profiles for: (A) multicomponent Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 hydrogels up 72 hours; (B) pure Fmoc-FF and mixed Fmoc-FF/(FY)3 (1/1, v/v) nanogels. Cytotoxicity Assays: Cytotoxicity of mixed Fmoc-FF/(FY)3 (1/1, v/v) hydrogel encapsulating Dox or its liposomal formulation Doxil, at the same Dox concentration, was evaluated after 24 hours of incubation on MDA-MB-231 breast cancer cell line, using MTT assay. The cytotoxicity of the free drug, as well as of the empty hydrogels, was studied in the same conditions. HGs preparation was directly achieved into the hollow plastic chamber sealed at one end with a porous membrane. This experimental setting for hydrogels allows to mimic its conditions of utilization, in which this biocompatible support loaded with the chemotherapeutic agent is grafted at the level of the tumor lesion, where a controlled and constant drug release is achieved. During our experiments, hydrogels remain in contact with the cells for all the duration of the treatment. As shown in Figure 5A, the cell viability of empty hydrogels was found to be more than 95%. This percentage of cell survival is similar to that previously observed by us for Fmoc-FF and Fmoc-FF/(FY)3 hydrogels co-incubated with the Chinese Hamster Ovarian (CHO) cell line.38 Dox loaded hydrogels significantly reduced viability of MDA-MB-231 cells after only 24 h of incubation (49%) as well as free Dox at a concentration of 1µmol L−1 (55%). This Dox concentration corresponds to its IC50 on MDA-MB-231 cells (see Supplementary Figure S4). Due to its lower drug release, hydrogels encapsulating Doxil showed a slightly lower cytotoxicity, with a cell viability of 57%.Figure 5MDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test).Abbreviation: n.s., not significant. MDA-MB-231 cell survival after doxorubicin treatments. (A) MTT assay was conducted on MDA-MB-231 cells treated for 24 h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF HG (gray bar), empty Fmoc-FF/(FY)3 (1/1, v/v) HG (light gray bar), mixed Fmoc-FF/(FY)3 (1/1, v/v) HG loaded with Dox (green bar) and loaded with Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels, compared to control cells grown in their absence. (B) MTT assay was conducted on MDA-MB-231 cells treated for 72h with 1µmol·L−1 of free Dox (red bar), empty Fmoc-FF NG (blue empty bar), empty Fmoc-FF/(FY)3 (1/1, v/v) NG (green empty bar), Dox loaded Fmoc-FF nanogels (blue fill bar), Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) NG (green fill bar) and Doxil (burgundy bar) in comparison with untreated cells (black bar). Cell survival was expressed as percentage of viable cells in the presence of hydrogels and nanogels compared to control cells grown in their absence (Error represents SD of four independent experiments. *p-value<0,05. Mann-Withey t-test). On the other hand, Figure 5B reports the cell viability of the same cell line treated with pure Fmoc-FF and mixed Fmoc-FF(FY)3 nanogels, empty or loaded with the drug, in comparison to free Dox and Doxil. Initially, we evaluated the cytotoxicity of empty nanogels as function of the total peptide concentration at three different time points (24, 48 and 72 h). We observed that there is a significant decrease in the cell viability during the first 48 h of incubation with nanogels. After this time of incubation, cell viability improves during the next 24 h (see Figure S5). This effect may be due to a temporary inhibition of the cell cycle induced by nanogels. Based on these results, cytotoxicity of NGs encapsulating Dox was checked after 72 h of incubation. Analogously to HGs, Dox loaded nanogels are able to significantly reduce breast cancer cells viability, with a cell viability of 7% and 25% for pure and mixed hydrogels, respectively. The higher cytotoxicity of pure HG with respect to the mixed one is probably attributable to the intrinsic toxicity of the empty gel. Determination of the Cellular Uptake by Immunofluorescence: The intracellular internalization of Dox loaded HGs and NGs was assessed using immunofluorescence analysis on MDA-MB-231 cells treated for 24 h. Internalization of free Dox and Doxil are also reported for comparison. As indicated by the overlapping of red fluorescence associated to Dox with blue signal associated to DAPI (nucleus), the free drug can internalize into the nucleus after 24 h of incubation at 37°C (Figure 6A). Differently, Dox loaded Fmoc-FF/(FY)3 mixed hydrogel induces the internalization of Dox at peri-nuclear level since Dox signal is not perfectly overlapped with DAPI, but it is also partially detectable in the cytoplasm together with the green Actin signal (Figure 6B). The same behavior was previously observed for other liposomal Dox formulations.49,50 At the same time, doxorubicin conveyed through the nanogels remains in the cytoplasm of treated cells (Figure 6C), whereas by using Doxil the drug diffuses equally between the cytoplasm and the nucleus (Figure 6D). The different intracellular distribution of the drug in Figure 6 suggests an internalization mechanism alternative to the diffusion for the drug delivered by supramolecular systems like HGs, NGs and liposomes. One of the most accredited hypotheses is that nanogels are able to bind themselves primarily to the cellular membrane and then to enter the tumor cell via the endocytosis pathway.51,52Figure 6Immunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm. Immunofluorescence assay on cells. MDA-MB-231 cells treated with: (A) free Dox; (B) Dox loaded mixed Fmoc-FF/(FY)3 (1/1, v/v) HG; (C) Dox loaded Fmoc-FF/(FY)3 (1/1, v/v) NGs and (D) Doxil. Column I corresponds to Nuclei (DAPI, blue) and B-actin (FITC, green) staining. Column II corresponds to II β-actin (FITC, green) and doxorubicin (red) staining. Column III corresponds to Nuclei (DAPI, blue) and doxorubicin (red) staining. Column IV corresponds to Overlapping of FITC, PE and DAPI channels. Magnification 63×. Scale bars 20 µm. Conclusion: The administration of drugs is often affected by several issues related to systemic toxicity, chemical instability and repeated dosing requirement. Hydrogels and nanogels can represent alternative drug delivery vehicles to conventional supramolecular structures, such as vesicles, liposomes and nanostructures already developed and in clinical use. Indeed, macroscopic tridimensional HG networks could allow transepithelial drug delivery or in situ gelation process for the formation of implants, whereas nanosized nanogels could be used for systemic, oral and pulmonary administration of drugs. Due to their high biocompatibility, good biodegradability and tunability, short or ultra-short peptides represent potential attractive alternatives for preparation of HGs and NGs with respect to natural and synthetic polymers. The peptide-based HGs and NGs here formulated are obtained by using the well-known hydrogelator Fmoc-FF alone or in combination with (FY)3 peptide or its PEGylated analogue PEG8-(FY)3 at two different ratios. NGs were prepared starting from the corresponding HGs using a top-down approach in which the macroscopic hydrogel is submicronized and stabilized with commercially available biocompatible surfactants. Due to the common structure of their inner peptidic network, both NGs and HGs allow to efficiently encapsulate Dox. The gelation kinetics (from 24 to 40 minutes) and the drug release (16–28%, after 72 h) from hydrogels are clearly influenced by the hydrogel peptide composition. Analogously, the DLC values (0.137 and 0.093 for pure and mixed NGs, respectively) and the release percentages (20–40%, after 72 h) in NGs are affected by their composition in terms of net charges. Cytotoxicity assays carried out on MDA-MB-231 breast cancer cell line pointed out a high cell viability (>95%) for empty HGs and NGs, and a reduced cell viability (49–57%) for Dox loaded HGs and NGs. Moreover, immunofluorescence assays show a different cellular localization for the Dox delivered by HGs and NGs with respect to the free Dox. Indeed, contrarily to the free Dox, localized in the nucleus, HGs and NGs allow internalization of the drug at the peri-nuclear level and in the cytoplasm, respectively. This result suggests a different internalization mechanism and a different intracellular distribution and Dox release between free Dox and Dox loaded in hydrogels/nanogels. All the in vitro data we collected and analyzed for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 nanogels loaded with Dox suggest their potential use in vivo, by systemic administration, to deliver the cytotoxic drug on tumor tissues and cells. Thanks to its characteristics the new Dox loaded peptide supramolecular systems here described could be considered as promising valid alternatives to the already available liposomal Dox formulations.
Background: The clinical use of the antitumoral drug doxorubicin (Dox) is reduced by its dose-limiting toxicity, related to cardiotoxic side effects and myelosuppression. In order to overcome these drawbacks, here we describe the synthesis, the structural characterization and the in vitro cytotoxicity assays of hydrogels (HGs) and nanogels (NGs) based on short peptide sequences loaded with Dox or with its liposomal formulation, Doxil. Methods: Fmoc-FF alone or in combination with (FY)3 or PEG8-(FY)3 peptides, at two different ratios (1/1 and 2/1 v/v), were used for HGs and NGs formulations. HGs were prepared according to the "solvent-switch" method, whereas NGs were obtained through HG submicronition by the top-down methodology in presence of TWEEN®60 and SPAN®60 as stabilizing agents. HGs gelation kinetics were assessed by Circular Dichroism (CD). Stability and size of NGs were studied using Dynamic Light Scattering (DLS) measurements. Cell viability of empty and filled Dox HGs and NGs was evaluated on MDA-MB-231 breast cancer cells. Moreover, cell internalization of the drug was evaluated using immunofluorescence assays. Results: Dox filled hydrogels exhibit a high drug loading content (DLC=0.440), without syneresis after 10 days. Gelation kinetics (20-40 min) and the drug release (16-28%) over time of HGs were found dependent on relative peptide composition. Dox filled NGs exhibit a DLC of 0.137 and a low drug release (20-40%) after 72 h. Empty HGs and NGs show a high cell viability (>95%), whereas Dox loaded ones significantly reduce cell viability after 24 h (49-57%) and 72 h (7-25%) of incubation, respectively. Immunofluorescence assays evidenced a different cell localization for Dox delivered through HGs and NGs with respect to the free drug. Conclusions: A modulation of the Dox release can be obtained by changing the ratios of the peptide components. The different cellular localization of the drug loaded into HGs and NGs suggests an alternative internalization mechanism. The high DLC, the low drug release and preliminary in vitro results suggest a potential employment of peptide-based HGs and NGs as drug delivery tools.
Introduction: Nowadays, cancer remains one of the leading causes of mortality worldwide, affecting more than 10 million new patients every year. Among cancerous diseases, breast cancer is the most common one for women in the United States with more than 200,000 newly diagnosed cases for year.1 Current treatment options include surgical resection, radiation, and chemotherapy. Chemotherapeutic regime establishes the treatment of patients with drugs (doxorubicin, docetaxel, paclitaxel, and tamoxifen) alone or in combination.2 Doxorubicin (Dox), also known as Adriamycin, is a natural antitumor antibiotic of the anthracycline class, which works as DNA intercalating agent and as an inhibitor of topoisomerase II.3 Despite its therapeutic potentiality, clinical use of Dox is hampered by its dose-limiting toxicity, represented by myelosuppression and cardiotoxic side effects, which cause increased cardiovascular risks.4 In addition, Dox-mediated cardiotoxicity was found to be cumulative and dose-dependent, with heart suffering from the very first dose and then with accumulative damage for each following anthracycline cycle.5,6 In order to overcome these drawbacks, Dox encapsulating nanoformulations has been proposed as an alternative strategy for its administration. Currently, two doxorubicin liposomal formulations, Caelyx®/Doxil® and Myocet®, and their bioequivalent formulations, are available in the clinic.7,8 The liposomal spatial confinement of Dox allows altering biodistribution of the drug, minimizing its toxicity, increasing the half-life and the therapeutic index and improving the pharmaceutical profile, thus leading to increased patient compliance.9,10 In the last years, other typologies of nanosized structures, including polymer-based aggregates,11 nanofibers,12 nanodisks,13 gold nanoparticles,14 graphene and graphene oxide15,16 and hydrogels (HGs), were evaluated and studied as novel Dox-delivery tools. HGs are self-supporting materials, structured as supramolecular hydrophilic networks associated with the construction of space-spanning structures characterized by a non-Newtonian behavior. The hydrophilic nature of HGs constituents allows entrapping a high volume of biological fluids and water during the swelling process.17 3D-connectivity in physical cross-linked HGs is related to aggregation/interaction of molecules, cooperating through non-covalent interactions or via chemical irreversible bonds. Due to their unique structure, HGs have been exploited as versatile tools for many different biomedical applications (such as 3D-extracellular matrices for wound healing systems,18 cell support for tissue engineering and regeneration,19,20 protein mimetics,21 ophthalmic compatible materials,22 and drug delivery systems23). Submicronization of HGs by top-down methodologies gives the possibility to generate smaller hydrogel particles with a size in the nano-range.24 These hydrogel nanoparticles, named nanogels (NGs), combine the same hydrated inner network of hydrogels with the size of injectable nanoparticles, such as micelles and liposomes.25 Due to their size, nanogel formulations could achieve a fast renal clearance, a feasible penetration through tissue barriers and a prolonged circulation time in the blood stream. Hydrogels and nanogels can be prepared using synthetic26–28 or natural polymers29–32 or peptide sequences.33,34 With respect to polymers, peptides exhibit several advantages such as high biocompatibility, biodegradability and tunability. Fmoc-FF (Nα-fluorenylmethyloxycarbonyl diphenylalanine) hydrogelator (Figure 1) represents one of the most studied peptide sequences for hydrogels formulation, thanks to its capability to gelificate under physiological conditions, required for biomedical applications.35–37 Recently, we have described the preparation of pure Fmoc-FF and mixed Fmoc-FF/(FY)3 and Fmoc-FF/PEG8-(FY)3 (at 2/1 or 1/1, v/v) hydrogels.38 PEG8-(FY)3 and (FY)3 are the PEGylated and the non-PEGylated versions of the (FY)3 hexapeptide, this latter containing as peptide framework the alternation of three tyrosine (Y) and three phenylalanine (F) residues.39 The rheological characterization of the mixed gels pointed out that the presence of PEG and its relative amount into the mixed gel causes a slowing down of the gelation kinetic and a decrease of the gel rigidity. This different behavior was attributed to the high flexibility and conformational freedom of the PEG chain in the mixed hydrogel. Independently of their composition, all the gels showed an in vitro cell viability higher than 95% after 24 h of incubation, thus suggesting their potential applications in the biomedical field.Figure 1Schematic representation of components and methodologies for the formulation of HGs and NGs. Chemical formulas for peptide-based components are reported in the legend. Schematic representation of components and methodologies for the formulation of HGs and NGs. Chemical formulas for peptide-based components are reported in the legend. Here we describe the Dox loading capability of hydrogels and nanogels (both pure and mixed) and their drug release properties over time. We also report the in vitro cytotoxicity of both empty and Dox filled HGs and NGs on MDA-MB-231 breast cancer cell line representative of Triple Negative Breast Cancer (TNBC), the most aggressive breast cancer subtype.40 These results are compared with empty and Dox filled nanogel formulations,41 obtained sub-micronizing hydrogels by a top-down method. We also checked the capability of peptide-based hydrogels to encapsulate supramolecular nanodrugs and we studied their effective cytotoxicity on cells. For instance, as nanodrug we chose the liposomal doxorubicin formulation Doxil. This strategy could allow to obtain a composite drug delivery platform for a multi-stage delivery of Dox. Conclusion: The administration of drugs is often affected by several issues related to systemic toxicity, chemical instability and repeated dosing requirement. Hydrogels and nanogels can represent alternative drug delivery vehicles to conventional supramolecular structures, such as vesicles, liposomes and nanostructures already developed and in clinical use. Indeed, macroscopic tridimensional HG networks could allow transepithelial drug delivery or in situ gelation process for the formation of implants, whereas nanosized nanogels could be used for systemic, oral and pulmonary administration of drugs. Due to their high biocompatibility, good biodegradability and tunability, short or ultra-short peptides represent potential attractive alternatives for preparation of HGs and NGs with respect to natural and synthetic polymers. The peptide-based HGs and NGs here formulated are obtained by using the well-known hydrogelator Fmoc-FF alone or in combination with (FY)3 peptide or its PEGylated analogue PEG8-(FY)3 at two different ratios. NGs were prepared starting from the corresponding HGs using a top-down approach in which the macroscopic hydrogel is submicronized and stabilized with commercially available biocompatible surfactants. Due to the common structure of their inner peptidic network, both NGs and HGs allow to efficiently encapsulate Dox. The gelation kinetics (from 24 to 40 minutes) and the drug release (16–28%, after 72 h) from hydrogels are clearly influenced by the hydrogel peptide composition. Analogously, the DLC values (0.137 and 0.093 for pure and mixed NGs, respectively) and the release percentages (20–40%, after 72 h) in NGs are affected by their composition in terms of net charges. Cytotoxicity assays carried out on MDA-MB-231 breast cancer cell line pointed out a high cell viability (>95%) for empty HGs and NGs, and a reduced cell viability (49–57%) for Dox loaded HGs and NGs. Moreover, immunofluorescence assays show a different cellular localization for the Dox delivered by HGs and NGs with respect to the free Dox. Indeed, contrarily to the free Dox, localized in the nucleus, HGs and NGs allow internalization of the drug at the peri-nuclear level and in the cytoplasm, respectively. This result suggests a different internalization mechanism and a different intracellular distribution and Dox release between free Dox and Dox loaded in hydrogels/nanogels. All the in vitro data we collected and analyzed for pure Fmoc-FF and mixed Fmoc-FF/(FY)3 nanogels loaded with Dox suggest their potential use in vivo, by systemic administration, to deliver the cytotoxic drug on tumor tissues and cells. Thanks to its characteristics the new Dox loaded peptide supramolecular systems here described could be considered as promising valid alternatives to the already available liposomal Dox formulations.
Background: The clinical use of the antitumoral drug doxorubicin (Dox) is reduced by its dose-limiting toxicity, related to cardiotoxic side effects and myelosuppression. In order to overcome these drawbacks, here we describe the synthesis, the structural characterization and the in vitro cytotoxicity assays of hydrogels (HGs) and nanogels (NGs) based on short peptide sequences loaded with Dox or with its liposomal formulation, Doxil. Methods: Fmoc-FF alone or in combination with (FY)3 or PEG8-(FY)3 peptides, at two different ratios (1/1 and 2/1 v/v), were used for HGs and NGs formulations. HGs were prepared according to the "solvent-switch" method, whereas NGs were obtained through HG submicronition by the top-down methodology in presence of TWEEN®60 and SPAN®60 as stabilizing agents. HGs gelation kinetics were assessed by Circular Dichroism (CD). Stability and size of NGs were studied using Dynamic Light Scattering (DLS) measurements. Cell viability of empty and filled Dox HGs and NGs was evaluated on MDA-MB-231 breast cancer cells. Moreover, cell internalization of the drug was evaluated using immunofluorescence assays. Results: Dox filled hydrogels exhibit a high drug loading content (DLC=0.440), without syneresis after 10 days. Gelation kinetics (20-40 min) and the drug release (16-28%) over time of HGs were found dependent on relative peptide composition. Dox filled NGs exhibit a DLC of 0.137 and a low drug release (20-40%) after 72 h. Empty HGs and NGs show a high cell viability (>95%), whereas Dox loaded ones significantly reduce cell viability after 24 h (49-57%) and 72 h (7-25%) of incubation, respectively. Immunofluorescence assays evidenced a different cell localization for Dox delivered through HGs and NGs with respect to the free drug. Conclusions: A modulation of the Dox release can be obtained by changing the ratios of the peptide components. The different cellular localization of the drug loaded into HGs and NGs suggests an alternative internalization mechanism. The high DLC, the low drug release and preliminary in vitro results suggest a potential employment of peptide-based HGs and NGs as drug delivery tools.
19,760
430
[ 4098, 38, 231, 208, 41, 128, 71, 79, 324, 63, 293, 434, 78, 8157, 1148, 628, 588, 1044, 516, 489 ]
21
[ "dox", "fmoc", "ff", "fmoc ff", "fy", "hydrogels", "drug", "ff fy", "fmoc ff fy", "mixed" ]
[ "doxorubicin formulation doxil", "cell survival doxorubicin", "dox known adriamycin", "tamoxifen combination doxorubicin", "anticancer drug dox" ]
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[CONTENT] hydrogels | nanogels | drug delivery | peptide materials | doxorubicin | in vitro assays [SUMMARY]
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[CONTENT] hydrogels | nanogels | drug delivery | peptide materials | doxorubicin | in vitro assays [SUMMARY]
[CONTENT] hydrogels | nanogels | drug delivery | peptide materials | doxorubicin | in vitro assays [SUMMARY]
[CONTENT] hydrogels | nanogels | drug delivery | peptide materials | doxorubicin | in vitro assays [SUMMARY]
[CONTENT] Antineoplastic Agents | Cell Death | Cell Line, Tumor | Cell Survival | Doxorubicin | Drug Carriers | Drug Delivery Systems | Drug Liberation | Dynamic Light Scattering | Endocytosis | Humans | Hydrogels | Nanogels | Peptides [SUMMARY]
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[CONTENT] Antineoplastic Agents | Cell Death | Cell Line, Tumor | Cell Survival | Doxorubicin | Drug Carriers | Drug Delivery Systems | Drug Liberation | Dynamic Light Scattering | Endocytosis | Humans | Hydrogels | Nanogels | Peptides [SUMMARY]
[CONTENT] Antineoplastic Agents | Cell Death | Cell Line, Tumor | Cell Survival | Doxorubicin | Drug Carriers | Drug Delivery Systems | Drug Liberation | Dynamic Light Scattering | Endocytosis | Humans | Hydrogels | Nanogels | Peptides [SUMMARY]
[CONTENT] Antineoplastic Agents | Cell Death | Cell Line, Tumor | Cell Survival | Doxorubicin | Drug Carriers | Drug Delivery Systems | Drug Liberation | Dynamic Light Scattering | Endocytosis | Humans | Hydrogels | Nanogels | Peptides [SUMMARY]
[CONTENT] doxorubicin formulation doxil | cell survival doxorubicin | dox known adriamycin | tamoxifen combination doxorubicin | anticancer drug dox [SUMMARY]
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[CONTENT] doxorubicin formulation doxil | cell survival doxorubicin | dox known adriamycin | tamoxifen combination doxorubicin | anticancer drug dox [SUMMARY]
[CONTENT] doxorubicin formulation doxil | cell survival doxorubicin | dox known adriamycin | tamoxifen combination doxorubicin | anticancer drug dox [SUMMARY]
[CONTENT] doxorubicin formulation doxil | cell survival doxorubicin | dox known adriamycin | tamoxifen combination doxorubicin | anticancer drug dox [SUMMARY]
[CONTENT] dox | fmoc | ff | fmoc ff | fy | hydrogels | drug | ff fy | fmoc ff fy | mixed [SUMMARY]
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[CONTENT] dox | fmoc | ff | fmoc ff | fy | hydrogels | drug | ff fy | fmoc ff fy | mixed [SUMMARY]
[CONTENT] dox | fmoc | ff | fmoc ff | fy | hydrogels | drug | ff fy | fmoc ff fy | mixed [SUMMARY]
[CONTENT] dox | fmoc | ff | fmoc ff | fy | hydrogels | drug | ff fy | fmoc ff fy | mixed [SUMMARY]
[CONTENT] hgs | components | dox | delivery | cancer | biomedical | nanoparticles | applications | dose | methodologies [SUMMARY]
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[CONTENT] ngs | hgs ngs | hgs | dox | allow | systemic | administration | drug | alternatives | short [SUMMARY]
[CONTENT] dox | fmoc | fmoc ff | ff | fy | drug | hydrogels | cells | fmoc ff fy | ff fy [SUMMARY]
[CONTENT] dox | fmoc | fmoc ff | ff | fy | drug | hydrogels | cells | fmoc ff fy | ff fy [SUMMARY]
[CONTENT] ||| assays | Dox | Doxil [SUMMARY]
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[CONTENT] ||| ||| [SUMMARY]
[CONTENT] ||| assays | Dox | Doxil ||| two | 1/1 | 2/1 ||| HG | 60 | SPAN | 60 ||| gelation kinetics ||| Dynamic Light Scattering ||| Dox ||| ||| DLC=0.440 | 10 days ||| 20-40 | 16-28% ||| 0.137 | 20-40% | 72 h. Empty | 95% | Dox | 24 | 49-57% | 72 | 7-25% ||| Dox ||| ||| ||| [SUMMARY]
[CONTENT] ||| assays | Dox | Doxil ||| two | 1/1 | 2/1 ||| HG | 60 | SPAN | 60 ||| gelation kinetics ||| Dynamic Light Scattering ||| Dox ||| ||| DLC=0.440 | 10 days ||| 20-40 | 16-28% ||| 0.137 | 20-40% | 72 h. Empty | 95% | Dox | 24 | 49-57% | 72 | 7-25% ||| Dox ||| ||| ||| [SUMMARY]
Hepatitis E infection among Ghanaians: a systematic review.
28162095
Hepatitis E virus (HEV) infection is considered to be of significant public health importance in many developing countries. In this review, we aim to summarise studies on HEV with the aim of providing a further understanding of the epidemiology of the disease in Ghana.
BACKGROUND
A systematic review was conducted by following the recommendations outlined in the PRISMA statement. Studies on HEV infection among Ghanaians were identified by searching for articles (published up until 4th August 2016) in the PubMed, ISI Web of Science, African Journals Online, Google Scholar and the WHO African Index Medicus databases. We also searched the websites of the Ministry of Health and the Ghana Health Service to identify any related non-indexed studies. References of all retrieved studies were screened to identify additional publications.
METHODS
Ten studies involving a total of 2 894 participants from six regions of Ghana were identified. The proportion of Ghanaians showing positive serological markers for HEV infection was within the range of 5.8-71.55%. In addition, 0.7-45.9% tested positive for IgM antibodies while the proportion of Ghanaians testing positive for IgG antibodies was within the range of 0-45.3%. One study reporting a case fatality rate of 66.7% among pregnant women was identified. No information on HEV genotypes was retrieved.
RESULTS
Although based on a limited number of studies, this review does highlight that there is a high level of HEV infection among Ghanaians. Preventive measures including educational interventions as well as general improvements to sanitary and living conditions are needed to reduce the burden of the disease. Additionally, further research regarding the contribution of the various HEV genotypes is urgently needed to fully understand the burden of this disease in Ghana.
CONCLUSIONS
[ "Adolescent", "Adult", "Aged", "Child", "Female", "Ghana", "Hepatitis E", "Humans", "Male", "Middle Aged", "Young Adult" ]
5292811
Background
Types of viral hepatitis (A, B, C, D and E) that cause acute and/or chronic infection and liver inflammation are considered to be of significant global public health importance [1]. Hepatitis E (HEV) infection has long been regarded as being endemic in resource-poor regions such as Africa and Southeast Asia, where frequent outbreaks occur due to poor sanitation and hygiene [2, 3]. In more advanced countries, sporadic cases of acute HEV have been traced to individuals with a past history of travel to endemic areas [4]. According to the World Health Organization (WHO), more than 20 million HEV infections occur annually across the world resulting in over 3 million symptomatic cases of hepatitis E [2]. Hepatitis E does not usually develop into a carrier state and most individuals recover fully from acute HEV infections [2, 5]. In a few instances, however, it may progress into fulminant hepatitis, with a case fatality rate of around 1–2% in the general population [6] and as high as 40% in pregnant women [7]. The 2010 Global Burden of Disease Study estimated that there were more than 56 000 HEV-related deaths annually [8]. Although, there is wide acceptance that HEV is of significant public health importance in Ghana, the burden of the disease has not been thoroughly documented [9]. In this paper, we review studies on HEV infection in Ghana to summarise the available evidence regarding incidence and prevalence of the disease. To our knowledge, this is the first systematic review that has attempted to summarise the prevalence and incidence of HEV infection in Ghana. This paper forms part of an ongoing work aimed at documenting the burden of common viral hepatitis in Ghana. Studies on the estimated burdens of other hepatitis types arising from this broad work have been published elsewhere [10, 11].
null
null
Results
Figure 1 summarises the steps used to retrieve the appropriate studies. A total of 208 articles were retrieved. After the titles and abstract were screened and duplicates were removed, 13 studies were selected for full text analysis. Out of these, 10 studies on HEV in Ghana were selected for the review [9, 17–25].Fig. 1PRISMA flow chart showing the process of selecting studies PRISMA flow chart showing the process of selecting studies The selected studies (see Table 1) included nine 9 serological studies that reported on the presence of HEV antibodies and one study that focused on case fatality rate. Taken together, the studies involved a total sample population of 2 894 across six regions of Ghana. The regional distribution of studies was as follows: Ashanti (n = 3), Greater Accra (n = 6) and one study that involved five regions (Ashanti, Brong-Ahafo, Upper East, Upper West and Northern). The majority of the studies (80%, n = 8) were conducted solely among urban dwellers. Of the serological studies, one was conducted exclusively among children [17], two studies were conducted among pig handlers [18, 19], two among blood donors [20, 21], one involved adult HIV patients [22], one involved pregnant women [9], one involved persons with viral haemorrhagic fever symptoms [23] and one study involved patients with suspected hepatitis [24]. The ten studies were published between 1999 and 2016, however, the sampling took place between 1993 and 2013. In terms of the quality, 80% (n = 8) of the studies were deemed as being of high quality and 20% (n = 2) were considered to be of medium quality.Table 1Studies on hepatitis E in GhanaSerological Studies reporting markers of HEV infectionStudyNo.ReferencePublication yearSampling yearDesignRegionSample sizeSettingParticipantsAge of participantsAnti -HEV (%)QualitygradeTotal IgIgGIgM1Martinson et al. [17]19991993Cross sectionalAshanti803RuralChildren6-184.4n.sn.sHigh2Adjei et al. [9]20092008Cross sectionalGreater Accra157UrbanPregnant women13-4228.6610.1918.47High3Adjei et al. [18]20092008Cross sectionalGreater Accra105UrbanPig handlers12–6538.10.038.1High4Adjei et al. [19]20102008Cross sectionalGreater Accra353UrbanPig handlers15-7038.4819.2615.58High5Tettey [20]20112008Cross sectionalGreater Accra471UrbanBlood donors18-60 (m)19–42 (f)71.5525.645.9Medium6Meldal et al. [21]2012n.sCross sectionalAshanti239UrbanBlood donorsn.s10.54.65.9High7Feldt et al. [22]20132008-10Cross sectionalAshanti402UrbanAdult HIV patients40 (±9.6)46.0245.30.7High8Bonney et al. [23]20132009-13Hospital-based surveillance studyAshanti,Brong-Ahafo, Northern,Upper West, Upper East258MixedPatients with VHF symptoms23.5a 9.75.83.9High9Ofosu-Appiah et al. [24]20162010-11Cross-sectionalGreater Accra103UrbanPatients with suspected hepatitis33.0 ± 14.55.8n.sn.sMediumStudies reporting Case Fatality RateReferencePublication yearSampling yearDesignRegionSample sizeSettingParticipantsAge of participantsCase fatality-rateQuality grade10Bonney et al. [25]20122010Case seriesGreater Accra3UrbanPregnant women31, 31, 1766.7%High VHF viral haemorrhagic fever; n.s not specified; m male; f female; IgG Immunoglobulin G; IgM immunoglobulin M; HEV RNA hepatitis E virus RNA a median Studies on hepatitis E in Ghana VHF viral haemorrhagic fever; n.s not specified; m male; f female; IgG Immunoglobulin G; IgM immunoglobulin M; HEV RNA hepatitis E virus RNA a median Serological markers of HEV infection Among the nine serological studies, the proportion of participants testing positive for any HEV antibody (total Ig) varied from 5.8% to 71.55%. The incidence of HEV infection as determined by the proportion of participants across the seven studies showing positive results for IgM was within the range of 0.7–45.9%. The highest incidence of HEV as determined by IgM seropositivity was reported for a cohort of blood donors (45.9%) [20] and pig handlers (38.1%) [18]. The only study conducted among HIV patients, however, reported a very low incidence rate, with the proportion of participants testing positive for IgM at 0.7% [22]. The seroprevalence of HEV infection (as determined by the proportion of individuals testing positive for IgG) across the seven studies was within the range of 0–45.3%. Seroprevalence of 0% was reported in a cohort of pig handlers [18] and 45.3% in a cohort of HIV-positive adults [22]. Among the nine serological studies, the proportion of participants testing positive for any HEV antibody (total Ig) varied from 5.8% to 71.55%. The incidence of HEV infection as determined by the proportion of participants across the seven studies showing positive results for IgM was within the range of 0.7–45.9%. The highest incidence of HEV as determined by IgM seropositivity was reported for a cohort of blood donors (45.9%) [20] and pig handlers (38.1%) [18]. The only study conducted among HIV patients, however, reported a very low incidence rate, with the proportion of participants testing positive for IgM at 0.7% [22]. The seroprevalence of HEV infection (as determined by the proportion of individuals testing positive for IgG) across the seven studies was within the range of 0–45.3%. Seroprevalence of 0% was reported in a cohort of pig handlers [18] and 45.3% in a cohort of HIV-positive adults [22]. Case fatality rate Only one study reporting case fatality was identified. It reported a case fatality rate of 66.7% among pregnant women [25]. However, the study involved a small sample size of only three cases. Only one study reporting case fatality was identified. It reported a case fatality rate of 66.7% among pregnant women [25]. However, the study involved a small sample size of only three cases.
Conclusions
Although this review is based on a limited number of studies, it does highlight a high level of HEV infection among Ghanaians. Preventive measures including educational interventions, screening of all donated blood and high-risk groups (e.g., HIV patients), as well as general improvement in sanitary and living conditions are needed to reduce the burden of the disease. Additionally, further research regarding the contribution of the various HEV genotypes is urgently needed to fully understand the burden of the disease in Ghana.
[ "Background", "Serological markers of HEV infection", "Case fatality rate" ]
[ "Types of viral hepatitis (A, B, C, D and E) that cause acute and/or chronic infection and liver inflammation are considered to be of significant global public health importance [1]. Hepatitis E (HEV) infection has long been regarded as being endemic in resource-poor regions such as Africa and Southeast Asia, where frequent outbreaks occur due to poor sanitation and hygiene [2, 3]. In more advanced countries, sporadic cases of acute HEV have been traced to individuals with a past history of travel to endemic areas [4]. According to the World Health Organization (WHO), more than 20 million HEV infections occur annually across the world resulting in over 3 million symptomatic cases of hepatitis E [2]. Hepatitis E does not usually develop into a carrier state and most individuals recover fully from acute HEV infections [2, 5]. In a few instances, however, it may progress into fulminant hepatitis, with a case fatality rate of around 1–2% in the general population [6] and as high as 40% in pregnant women [7].\nThe 2010 Global Burden of Disease Study estimated that there were more than 56 000 HEV-related deaths annually [8]. Although, there is wide acceptance that HEV is of significant public health importance in Ghana, the burden of the disease has not been thoroughly documented [9]. In this paper, we review studies on HEV infection in Ghana to summarise the available evidence regarding incidence and prevalence of the disease. To our knowledge, this is the first systematic review that has attempted to summarise the prevalence and incidence of HEV infection in Ghana. This paper forms part of an ongoing work aimed at documenting the burden of common viral hepatitis in Ghana. Studies on the estimated burdens of other hepatitis types arising from this broad work have been published elsewhere [10, 11].", "Among the nine serological studies, the proportion of participants testing positive for any HEV antibody (total Ig) varied from 5.8% to 71.55%. The incidence of HEV infection as determined by the proportion of participants across the seven studies showing positive results for IgM was within the range of 0.7–45.9%. The highest incidence of HEV as determined by IgM seropositivity was reported for a cohort of blood donors (45.9%) [20] and pig handlers (38.1%) [18]. The only study conducted among HIV patients, however, reported a very low incidence rate, with the proportion of participants testing positive for IgM at 0.7% [22]. The seroprevalence of HEV infection (as determined by the proportion of individuals testing positive for IgG) across the seven studies was within the range of 0–45.3%. Seroprevalence of 0% was reported in a cohort of pig handlers [18] and 45.3% in a cohort of HIV-positive adults [22].", "Only one study reporting case fatality was identified. It reported a case fatality rate of 66.7% among pregnant women [25]. However, the study involved a small sample size of only three cases." ]
[ null, null, null ]
[ "Background", "Methods", "Results", "Serological markers of HEV infection", "Case fatality rate", "Discussion", "Conclusions" ]
[ "Types of viral hepatitis (A, B, C, D and E) that cause acute and/or chronic infection and liver inflammation are considered to be of significant global public health importance [1]. Hepatitis E (HEV) infection has long been regarded as being endemic in resource-poor regions such as Africa and Southeast Asia, where frequent outbreaks occur due to poor sanitation and hygiene [2, 3]. In more advanced countries, sporadic cases of acute HEV have been traced to individuals with a past history of travel to endemic areas [4]. According to the World Health Organization (WHO), more than 20 million HEV infections occur annually across the world resulting in over 3 million symptomatic cases of hepatitis E [2]. Hepatitis E does not usually develop into a carrier state and most individuals recover fully from acute HEV infections [2, 5]. In a few instances, however, it may progress into fulminant hepatitis, with a case fatality rate of around 1–2% in the general population [6] and as high as 40% in pregnant women [7].\nThe 2010 Global Burden of Disease Study estimated that there were more than 56 000 HEV-related deaths annually [8]. Although, there is wide acceptance that HEV is of significant public health importance in Ghana, the burden of the disease has not been thoroughly documented [9]. In this paper, we review studies on HEV infection in Ghana to summarise the available evidence regarding incidence and prevalence of the disease. To our knowledge, this is the first systematic review that has attempted to summarise the prevalence and incidence of HEV infection in Ghana. This paper forms part of an ongoing work aimed at documenting the burden of common viral hepatitis in Ghana. Studies on the estimated burdens of other hepatitis types arising from this broad work have been published elsewhere [10, 11].", "We conducted a systematic review of literature on HEV infection by following the recommendations outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement [12]. Studies reporting HEV infection among Ghanaians were identified by searching for articles (published up to 4th August 2016) in the PubMed, ISI Web of Science, Google Scholar, African Journals Online and the WHO African Index Medicus databases.\nThe keywords used were ‘Hepatitis E’ OR ‘Hepatitis E virus’ OR ‘HEV’ OR ‘Hepatitis E antibody’* OR ‘non-A and non-B (nAnB)’ AND ‘epidemiology’ OR ‘prevalence’ OR ‘incidence’ AND ‘Ghana’. ‘Non-A’ and non-B (nAnB)’ were included as search terms because HEV has been identified as the causative agent in many epidemic and sporadic cases of enterically transmitted non-A and non-B viral hepatitis in a number of developing countries [13, 14]. We also searched the websites of the Ministry of Health (http://www.moh-ghana.org/) and the Ghana Health Service (http://www.ghanahealthservice.org/) to identify non-indexed studies and policy reports on the subject.\nIn this review, we included serological studies that reported on the detection of antibodies to HEV-immunoglobulin G (IgG) or immunoglobulin M (IgM) among Ghanaians. The detection of IgM was considered to represent sporadic acute hepatitis cases [5, 15] and was used to estimate the incidence of HEV infection. The detection of IgG was considered to represent remote infection and was used to estimate HEV seroprevalence among the population [15]. Studies assessing case fatality rate were also included.\nA 12-point scoring system, adapted from the Downs and Black checklist [16], was used to assess the quality of the individual studies. The scoring system included questions such as whether study’s objective was clearly defined, whether participant characteristics and whether study’s conclusion was sound and based on the results. Descriptive data such as the study population, year of publication, region, setting and the proportion of people who tested positive for IgG or IgM antibodies were summarised. Due to the heterogeneity of the studies, a formal meta-analysis was not conducted.", "Figure 1 summarises the steps used to retrieve the appropriate studies. A total of 208 articles were retrieved. After the titles and abstract were screened and duplicates were removed, 13 studies were selected for full text analysis. Out of these, 10 studies on HEV in Ghana were selected for the review [9, 17–25].Fig. 1PRISMA flow chart showing the process of selecting studies\n\nPRISMA flow chart showing the process of selecting studies\nThe selected studies (see Table 1) included nine 9 serological studies that reported on the presence of HEV antibodies and one study that focused on case fatality rate. Taken together, the studies involved a total sample population of 2 894 across six regions of Ghana. The regional distribution of studies was as follows: Ashanti (n = 3), Greater Accra (n = 6) and one study that involved five regions (Ashanti, Brong-Ahafo, Upper East, Upper West and Northern). The majority of the studies (80%, n = 8) were conducted solely among urban dwellers. Of the serological studies, one was conducted exclusively among children [17], two studies were conducted among pig handlers [18, 19], two among blood donors [20, 21], one involved adult HIV patients [22], one involved pregnant women [9], one involved persons with viral haemorrhagic fever symptoms [23] and one study involved patients with suspected hepatitis [24]. The ten studies were published between 1999 and 2016, however, the sampling took place between 1993 and 2013. In terms of the quality, 80% (n = 8) of the studies were deemed as being of high quality and 20% (n = 2) were considered to be of medium quality.Table 1Studies on hepatitis E in GhanaSerological Studies reporting markers of HEV infectionStudyNo.ReferencePublication yearSampling yearDesignRegionSample sizeSettingParticipantsAge of participantsAnti -HEV (%)QualitygradeTotal IgIgGIgM1Martinson et al. [17]19991993Cross sectionalAshanti803RuralChildren6-184.4n.sn.sHigh2Adjei et al. [9]20092008Cross sectionalGreater Accra157UrbanPregnant women13-4228.6610.1918.47High3Adjei et al. [18]20092008Cross sectionalGreater Accra105UrbanPig handlers12–6538.10.038.1High4Adjei et al. [19]20102008Cross sectionalGreater Accra353UrbanPig handlers15-7038.4819.2615.58High5Tettey [20]20112008Cross sectionalGreater Accra471UrbanBlood donors18-60 (m)19–42 (f)71.5525.645.9Medium6Meldal et al. [21]2012n.sCross sectionalAshanti239UrbanBlood donorsn.s10.54.65.9High7Feldt et al. [22]20132008-10Cross sectionalAshanti402UrbanAdult HIV patients40 (±9.6)46.0245.30.7High8Bonney et al. [23]20132009-13Hospital-based surveillance studyAshanti,Brong-Ahafo, Northern,Upper West, Upper East258MixedPatients with VHF symptoms23.5a\n9.75.83.9High9Ofosu-Appiah et al. [24]20162010-11Cross-sectionalGreater Accra103UrbanPatients with suspected hepatitis33.0 ± 14.55.8n.sn.sMediumStudies reporting Case Fatality RateReferencePublication yearSampling yearDesignRegionSample sizeSettingParticipantsAge of participantsCase fatality-rateQuality grade10Bonney et al. [25]20122010Case seriesGreater Accra3UrbanPregnant women31, 31, 1766.7%High\nVHF viral haemorrhagic fever; n.s not specified; m male; f female; IgG Immunoglobulin G; IgM immunoglobulin M; HEV RNA hepatitis E virus RNA\na median\n\nStudies on hepatitis E in Ghana\n\nVHF viral haemorrhagic fever; n.s not specified; m male; f female; IgG Immunoglobulin G; IgM immunoglobulin M; HEV RNA hepatitis E virus RNA\n\na median\n Serological markers of HEV infection Among the nine serological studies, the proportion of participants testing positive for any HEV antibody (total Ig) varied from 5.8% to 71.55%. The incidence of HEV infection as determined by the proportion of participants across the seven studies showing positive results for IgM was within the range of 0.7–45.9%. The highest incidence of HEV as determined by IgM seropositivity was reported for a cohort of blood donors (45.9%) [20] and pig handlers (38.1%) [18]. The only study conducted among HIV patients, however, reported a very low incidence rate, with the proportion of participants testing positive for IgM at 0.7% [22]. The seroprevalence of HEV infection (as determined by the proportion of individuals testing positive for IgG) across the seven studies was within the range of 0–45.3%. Seroprevalence of 0% was reported in a cohort of pig handlers [18] and 45.3% in a cohort of HIV-positive adults [22].\nAmong the nine serological studies, the proportion of participants testing positive for any HEV antibody (total Ig) varied from 5.8% to 71.55%. The incidence of HEV infection as determined by the proportion of participants across the seven studies showing positive results for IgM was within the range of 0.7–45.9%. The highest incidence of HEV as determined by IgM seropositivity was reported for a cohort of blood donors (45.9%) [20] and pig handlers (38.1%) [18]. The only study conducted among HIV patients, however, reported a very low incidence rate, with the proportion of participants testing positive for IgM at 0.7% [22]. The seroprevalence of HEV infection (as determined by the proportion of individuals testing positive for IgG) across the seven studies was within the range of 0–45.3%. Seroprevalence of 0% was reported in a cohort of pig handlers [18] and 45.3% in a cohort of HIV-positive adults [22].\n Case fatality rate Only one study reporting case fatality was identified. It reported a case fatality rate of 66.7% among pregnant women [25]. However, the study involved a small sample size of only three cases.\nOnly one study reporting case fatality was identified. It reported a case fatality rate of 66.7% among pregnant women [25]. However, the study involved a small sample size of only three cases.", "Among the nine serological studies, the proportion of participants testing positive for any HEV antibody (total Ig) varied from 5.8% to 71.55%. The incidence of HEV infection as determined by the proportion of participants across the seven studies showing positive results for IgM was within the range of 0.7–45.9%. The highest incidence of HEV as determined by IgM seropositivity was reported for a cohort of blood donors (45.9%) [20] and pig handlers (38.1%) [18]. The only study conducted among HIV patients, however, reported a very low incidence rate, with the proportion of participants testing positive for IgM at 0.7% [22]. The seroprevalence of HEV infection (as determined by the proportion of individuals testing positive for IgG) across the seven studies was within the range of 0–45.3%. Seroprevalence of 0% was reported in a cohort of pig handlers [18] and 45.3% in a cohort of HIV-positive adults [22].", "Only one study reporting case fatality was identified. It reported a case fatality rate of 66.7% among pregnant women [25]. However, the study involved a small sample size of only three cases.", "To our knowledge, this is the first systematic review that has attempted to thoroughly summarise evidence on the incidence and seroprevalence of HEV infection in Ghana. Our results indicate that HEV infection in Ghana may be quite high, with between 5.8% and 71.55% of Ghanaians showing serological markers of past or current infection in the studies under review. The discrepancies in the proportion of Ghanaians testing positive for HEV serological markers across the studies could be related to geographical (regional) differences in the levels of HEV infection across the country, as well as to the varied populations studied.\nAlmost 60% of the serological studies reported a higher proportion of participants testing positive for IgM than IgG. This by inference suggests that there is a higher HEV incidence compared to prevalence among Ghanaians, which may point to frequent outbreaks than a usual or common situation (usually IgG is higher than IgM). In HIV individuals, while the incidence (based on IgM detection) appears to be very low, the prevalence is very high. This may suggest that HEV infection in HIV-positive Ghanaians persists for longer periods. This longer persistence, which can sometimes lead to chronic states, is also increasingly being reported globally [26, 27]. This trend is explained by the limited immune system capacity of HIV patients to resolve acute infections and HEV may be regarded as just another form of opportunistic infection [27].\nOnly one study [9] was conducted among pregnant women, which reported that 28.7% showed serological markers of HEV infection. The highest proportion comprised women in the third trimester – an observation that is consistent with globally reported trends [28]. HEV infection in pregnant women may pose additional health risks due to the possible vertical transmission of the disease.\nThe two studies that focused on blood donors reported that 10.5% and 71.55% tested positive for serological markers of HEV infection. While the clinical relevance of transfusion-transmitted HEV remains unclear [29], studies have demonstrated the possibility of HEV transmission through blood transfusions in endemic areas, following retrospective evaluations of transfusion recipients [30]. As such, the high levels of HEV infection among blood donors in Ghana could pose serious concerns regarding the safety of blood supply [31]. Although, Ghana has a mandatory policy that requires the screening of all donated blood, this mainly covers HIV 1 and 2, hepatitis B, hepatitis C and syphilis [32]. Therefore, attention must also be paid to HEV, as the risk of spreading the virus through blood transfusion could be high, as this review suggests.\nThe studies conducted among pig handlers reported that over 38% showed serological markers of HEV infection. Adjei et al. [19] found that among pig handlers, the risk of HEV infection correlated with the level of contact with animals or their waste, and the absence of piped water on the farms. Although the studies on pig handlers in Ghana did not report on a particular genotype, studies elsewhere have suggested possible zoonotic transmission of HEV, especially of genotypes 3 and 4 [33, 34].\nThe study by Bonney et al. [25], although based on a small sample size (n = 3), reported an HEV case fatality rate of 66.7% among pregnant women in Ghana. This rate is high when compared with the case fatality rate reported in Sudan (31.1%) [35] and the Central African Republic (14.3%) [36], although perhaps it is better to do these comparisons when evidence of the HEV genotype becomes available.\nThe seemingly high levels of HEV infection among Ghanaians may be attributed to the low level of knowledge and awareness about the transmission pathways of common viral hepatitis in the country [37, 38]. Additionally, many communities in Ghana are densely populated and sanitation conditions remain precarious, with only around 13% of Ghanaians estimated to have access to improved sanitation [39]. All this may facilitate the outbreak of HEV, particularly of genotypes 1 and 2 [2, 3, 9]. There is evidence of high faecal-oral transmission of HEV in African countries [40], which suggests that public health measures may need to address issues such inadequate access to safe water and poor sanitation in an effort to control HEV outbreaks.\nCurrently, there is no specific treatment available for HEV infection. However, a recombinant vaccine to prevent the disease has been developed and recently approved in China, but is not yet available in any other country [41]. Early studies on this vaccine have demonstrated 95% efficacy in preventing HEV infection and clinical disease [42, 43]. Once this vaccine becomes widely available, it may be particularly useful for high-risk groups such as HIV patients, in whom HEV infection remains high.\nThis study had some limitations. The main one is the relatively small number of studies identified. This highlights that research and an understanding of the HEV infection burden in Ghana is less developed compared to research on and understanding of other viral infections. The majority of the studies (80%, n = 8) involved samples from only two regions of Ghana. Subsequently, no samples from four regions (Central, Volta, Eastern and Western) were included in the studies reviewed. Additionally, there are four major genotypes of hepatitis with different modes of transmission [44] and which may require different approaches for control. The studies reviewed, however, did not report on these genotypes. Furthermore, there are challenges in diagnosing HEV infections and while there are many diagnostic assays, not all have been rigorously tested and may at times present incongruous results [45]. For instance, currently the US Food and Drug Administration has not approved any serologic test for HEV diagnosis [46].", "Although this review is based on a limited number of studies, it does highlight a high level of HEV infection among Ghanaians. Preventive measures including educational interventions, screening of all donated blood and high-risk groups (e.g., HIV patients), as well as general improvement in sanitary and living conditions are needed to reduce the burden of the disease. Additionally, further research regarding the contribution of the various HEV genotypes is urgently needed to fully understand the burden of the disease in Ghana." ]
[ null, "materials|methods", "results", null, null, "discussion", "conclusion" ]
[ "Hepatitis E", "HEV", "Infectious diseases", "Viral hepatitis", "Systematic review", "Ghana" ]
Background: Types of viral hepatitis (A, B, C, D and E) that cause acute and/or chronic infection and liver inflammation are considered to be of significant global public health importance [1]. Hepatitis E (HEV) infection has long been regarded as being endemic in resource-poor regions such as Africa and Southeast Asia, where frequent outbreaks occur due to poor sanitation and hygiene [2, 3]. In more advanced countries, sporadic cases of acute HEV have been traced to individuals with a past history of travel to endemic areas [4]. According to the World Health Organization (WHO), more than 20 million HEV infections occur annually across the world resulting in over 3 million symptomatic cases of hepatitis E [2]. Hepatitis E does not usually develop into a carrier state and most individuals recover fully from acute HEV infections [2, 5]. In a few instances, however, it may progress into fulminant hepatitis, with a case fatality rate of around 1–2% in the general population [6] and as high as 40% in pregnant women [7]. The 2010 Global Burden of Disease Study estimated that there were more than 56 000 HEV-related deaths annually [8]. Although, there is wide acceptance that HEV is of significant public health importance in Ghana, the burden of the disease has not been thoroughly documented [9]. In this paper, we review studies on HEV infection in Ghana to summarise the available evidence regarding incidence and prevalence of the disease. To our knowledge, this is the first systematic review that has attempted to summarise the prevalence and incidence of HEV infection in Ghana. This paper forms part of an ongoing work aimed at documenting the burden of common viral hepatitis in Ghana. Studies on the estimated burdens of other hepatitis types arising from this broad work have been published elsewhere [10, 11]. Methods: We conducted a systematic review of literature on HEV infection by following the recommendations outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement [12]. Studies reporting HEV infection among Ghanaians were identified by searching for articles (published up to 4th August 2016) in the PubMed, ISI Web of Science, Google Scholar, African Journals Online and the WHO African Index Medicus databases. The keywords used were ‘Hepatitis E’ OR ‘Hepatitis E virus’ OR ‘HEV’ OR ‘Hepatitis E antibody’* OR ‘non-A and non-B (nAnB)’ AND ‘epidemiology’ OR ‘prevalence’ OR ‘incidence’ AND ‘Ghana’. ‘Non-A’ and non-B (nAnB)’ were included as search terms because HEV has been identified as the causative agent in many epidemic and sporadic cases of enterically transmitted non-A and non-B viral hepatitis in a number of developing countries [13, 14]. We also searched the websites of the Ministry of Health (http://www.moh-ghana.org/) and the Ghana Health Service (http://www.ghanahealthservice.org/) to identify non-indexed studies and policy reports on the subject. In this review, we included serological studies that reported on the detection of antibodies to HEV-immunoglobulin G (IgG) or immunoglobulin M (IgM) among Ghanaians. The detection of IgM was considered to represent sporadic acute hepatitis cases [5, 15] and was used to estimate the incidence of HEV infection. The detection of IgG was considered to represent remote infection and was used to estimate HEV seroprevalence among the population [15]. Studies assessing case fatality rate were also included. A 12-point scoring system, adapted from the Downs and Black checklist [16], was used to assess the quality of the individual studies. The scoring system included questions such as whether study’s objective was clearly defined, whether participant characteristics and whether study’s conclusion was sound and based on the results. Descriptive data such as the study population, year of publication, region, setting and the proportion of people who tested positive for IgG or IgM antibodies were summarised. Due to the heterogeneity of the studies, a formal meta-analysis was not conducted. Results: Figure 1 summarises the steps used to retrieve the appropriate studies. A total of 208 articles were retrieved. After the titles and abstract were screened and duplicates were removed, 13 studies were selected for full text analysis. Out of these, 10 studies on HEV in Ghana were selected for the review [9, 17–25].Fig. 1PRISMA flow chart showing the process of selecting studies PRISMA flow chart showing the process of selecting studies The selected studies (see Table 1) included nine 9 serological studies that reported on the presence of HEV antibodies and one study that focused on case fatality rate. Taken together, the studies involved a total sample population of 2 894 across six regions of Ghana. The regional distribution of studies was as follows: Ashanti (n = 3), Greater Accra (n = 6) and one study that involved five regions (Ashanti, Brong-Ahafo, Upper East, Upper West and Northern). The majority of the studies (80%, n = 8) were conducted solely among urban dwellers. Of the serological studies, one was conducted exclusively among children [17], two studies were conducted among pig handlers [18, 19], two among blood donors [20, 21], one involved adult HIV patients [22], one involved pregnant women [9], one involved persons with viral haemorrhagic fever symptoms [23] and one study involved patients with suspected hepatitis [24]. The ten studies were published between 1999 and 2016, however, the sampling took place between 1993 and 2013. In terms of the quality, 80% (n = 8) of the studies were deemed as being of high quality and 20% (n = 2) were considered to be of medium quality.Table 1Studies on hepatitis E in GhanaSerological Studies reporting markers of HEV infectionStudyNo.ReferencePublication yearSampling yearDesignRegionSample sizeSettingParticipantsAge of participantsAnti -HEV (%)QualitygradeTotal IgIgGIgM1Martinson et al. [17]19991993Cross sectionalAshanti803RuralChildren6-184.4n.sn.sHigh2Adjei et al. [9]20092008Cross sectionalGreater Accra157UrbanPregnant women13-4228.6610.1918.47High3Adjei et al. [18]20092008Cross sectionalGreater Accra105UrbanPig handlers12–6538.10.038.1High4Adjei et al. [19]20102008Cross sectionalGreater Accra353UrbanPig handlers15-7038.4819.2615.58High5Tettey [20]20112008Cross sectionalGreater Accra471UrbanBlood donors18-60 (m)19–42 (f)71.5525.645.9Medium6Meldal et al. [21]2012n.sCross sectionalAshanti239UrbanBlood donorsn.s10.54.65.9High7Feldt et al. [22]20132008-10Cross sectionalAshanti402UrbanAdult HIV patients40 (±9.6)46.0245.30.7High8Bonney et al. [23]20132009-13Hospital-based surveillance studyAshanti,Brong-Ahafo, Northern,Upper West, Upper East258MixedPatients with VHF symptoms23.5a 9.75.83.9High9Ofosu-Appiah et al. [24]20162010-11Cross-sectionalGreater Accra103UrbanPatients with suspected hepatitis33.0 ± 14.55.8n.sn.sMediumStudies reporting Case Fatality RateReferencePublication yearSampling yearDesignRegionSample sizeSettingParticipantsAge of participantsCase fatality-rateQuality grade10Bonney et al. [25]20122010Case seriesGreater Accra3UrbanPregnant women31, 31, 1766.7%High VHF viral haemorrhagic fever; n.s not specified; m male; f female; IgG Immunoglobulin G; IgM immunoglobulin M; HEV RNA hepatitis E virus RNA a median Studies on hepatitis E in Ghana VHF viral haemorrhagic fever; n.s not specified; m male; f female; IgG Immunoglobulin G; IgM immunoglobulin M; HEV RNA hepatitis E virus RNA a median Serological markers of HEV infection Among the nine serological studies, the proportion of participants testing positive for any HEV antibody (total Ig) varied from 5.8% to 71.55%. The incidence of HEV infection as determined by the proportion of participants across the seven studies showing positive results for IgM was within the range of 0.7–45.9%. The highest incidence of HEV as determined by IgM seropositivity was reported for a cohort of blood donors (45.9%) [20] and pig handlers (38.1%) [18]. The only study conducted among HIV patients, however, reported a very low incidence rate, with the proportion of participants testing positive for IgM at 0.7% [22]. The seroprevalence of HEV infection (as determined by the proportion of individuals testing positive for IgG) across the seven studies was within the range of 0–45.3%. Seroprevalence of 0% was reported in a cohort of pig handlers [18] and 45.3% in a cohort of HIV-positive adults [22]. Among the nine serological studies, the proportion of participants testing positive for any HEV antibody (total Ig) varied from 5.8% to 71.55%. The incidence of HEV infection as determined by the proportion of participants across the seven studies showing positive results for IgM was within the range of 0.7–45.9%. The highest incidence of HEV as determined by IgM seropositivity was reported for a cohort of blood donors (45.9%) [20] and pig handlers (38.1%) [18]. The only study conducted among HIV patients, however, reported a very low incidence rate, with the proportion of participants testing positive for IgM at 0.7% [22]. The seroprevalence of HEV infection (as determined by the proportion of individuals testing positive for IgG) across the seven studies was within the range of 0–45.3%. Seroprevalence of 0% was reported in a cohort of pig handlers [18] and 45.3% in a cohort of HIV-positive adults [22]. Case fatality rate Only one study reporting case fatality was identified. It reported a case fatality rate of 66.7% among pregnant women [25]. However, the study involved a small sample size of only three cases. Only one study reporting case fatality was identified. It reported a case fatality rate of 66.7% among pregnant women [25]. However, the study involved a small sample size of only three cases. Serological markers of HEV infection: Among the nine serological studies, the proportion of participants testing positive for any HEV antibody (total Ig) varied from 5.8% to 71.55%. The incidence of HEV infection as determined by the proportion of participants across the seven studies showing positive results for IgM was within the range of 0.7–45.9%. The highest incidence of HEV as determined by IgM seropositivity was reported for a cohort of blood donors (45.9%) [20] and pig handlers (38.1%) [18]. The only study conducted among HIV patients, however, reported a very low incidence rate, with the proportion of participants testing positive for IgM at 0.7% [22]. The seroprevalence of HEV infection (as determined by the proportion of individuals testing positive for IgG) across the seven studies was within the range of 0–45.3%. Seroprevalence of 0% was reported in a cohort of pig handlers [18] and 45.3% in a cohort of HIV-positive adults [22]. Case fatality rate: Only one study reporting case fatality was identified. It reported a case fatality rate of 66.7% among pregnant women [25]. However, the study involved a small sample size of only three cases. Discussion: To our knowledge, this is the first systematic review that has attempted to thoroughly summarise evidence on the incidence and seroprevalence of HEV infection in Ghana. Our results indicate that HEV infection in Ghana may be quite high, with between 5.8% and 71.55% of Ghanaians showing serological markers of past or current infection in the studies under review. The discrepancies in the proportion of Ghanaians testing positive for HEV serological markers across the studies could be related to geographical (regional) differences in the levels of HEV infection across the country, as well as to the varied populations studied. Almost 60% of the serological studies reported a higher proportion of participants testing positive for IgM than IgG. This by inference suggests that there is a higher HEV incidence compared to prevalence among Ghanaians, which may point to frequent outbreaks than a usual or common situation (usually IgG is higher than IgM). In HIV individuals, while the incidence (based on IgM detection) appears to be very low, the prevalence is very high. This may suggest that HEV infection in HIV-positive Ghanaians persists for longer periods. This longer persistence, which can sometimes lead to chronic states, is also increasingly being reported globally [26, 27]. This trend is explained by the limited immune system capacity of HIV patients to resolve acute infections and HEV may be regarded as just another form of opportunistic infection [27]. Only one study [9] was conducted among pregnant women, which reported that 28.7% showed serological markers of HEV infection. The highest proportion comprised women in the third trimester – an observation that is consistent with globally reported trends [28]. HEV infection in pregnant women may pose additional health risks due to the possible vertical transmission of the disease. The two studies that focused on blood donors reported that 10.5% and 71.55% tested positive for serological markers of HEV infection. While the clinical relevance of transfusion-transmitted HEV remains unclear [29], studies have demonstrated the possibility of HEV transmission through blood transfusions in endemic areas, following retrospective evaluations of transfusion recipients [30]. As such, the high levels of HEV infection among blood donors in Ghana could pose serious concerns regarding the safety of blood supply [31]. Although, Ghana has a mandatory policy that requires the screening of all donated blood, this mainly covers HIV 1 and 2, hepatitis B, hepatitis C and syphilis [32]. Therefore, attention must also be paid to HEV, as the risk of spreading the virus through blood transfusion could be high, as this review suggests. The studies conducted among pig handlers reported that over 38% showed serological markers of HEV infection. Adjei et al. [19] found that among pig handlers, the risk of HEV infection correlated with the level of contact with animals or their waste, and the absence of piped water on the farms. Although the studies on pig handlers in Ghana did not report on a particular genotype, studies elsewhere have suggested possible zoonotic transmission of HEV, especially of genotypes 3 and 4 [33, 34]. The study by Bonney et al. [25], although based on a small sample size (n = 3), reported an HEV case fatality rate of 66.7% among pregnant women in Ghana. This rate is high when compared with the case fatality rate reported in Sudan (31.1%) [35] and the Central African Republic (14.3%) [36], although perhaps it is better to do these comparisons when evidence of the HEV genotype becomes available. The seemingly high levels of HEV infection among Ghanaians may be attributed to the low level of knowledge and awareness about the transmission pathways of common viral hepatitis in the country [37, 38]. Additionally, many communities in Ghana are densely populated and sanitation conditions remain precarious, with only around 13% of Ghanaians estimated to have access to improved sanitation [39]. All this may facilitate the outbreak of HEV, particularly of genotypes 1 and 2 [2, 3, 9]. There is evidence of high faecal-oral transmission of HEV in African countries [40], which suggests that public health measures may need to address issues such inadequate access to safe water and poor sanitation in an effort to control HEV outbreaks. Currently, there is no specific treatment available for HEV infection. However, a recombinant vaccine to prevent the disease has been developed and recently approved in China, but is not yet available in any other country [41]. Early studies on this vaccine have demonstrated 95% efficacy in preventing HEV infection and clinical disease [42, 43]. Once this vaccine becomes widely available, it may be particularly useful for high-risk groups such as HIV patients, in whom HEV infection remains high. This study had some limitations. The main one is the relatively small number of studies identified. This highlights that research and an understanding of the HEV infection burden in Ghana is less developed compared to research on and understanding of other viral infections. The majority of the studies (80%, n = 8) involved samples from only two regions of Ghana. Subsequently, no samples from four regions (Central, Volta, Eastern and Western) were included in the studies reviewed. Additionally, there are four major genotypes of hepatitis with different modes of transmission [44] and which may require different approaches for control. The studies reviewed, however, did not report on these genotypes. Furthermore, there are challenges in diagnosing HEV infections and while there are many diagnostic assays, not all have been rigorously tested and may at times present incongruous results [45]. For instance, currently the US Food and Drug Administration has not approved any serologic test for HEV diagnosis [46]. Conclusions: Although this review is based on a limited number of studies, it does highlight a high level of HEV infection among Ghanaians. Preventive measures including educational interventions, screening of all donated blood and high-risk groups (e.g., HIV patients), as well as general improvement in sanitary and living conditions are needed to reduce the burden of the disease. Additionally, further research regarding the contribution of the various HEV genotypes is urgently needed to fully understand the burden of the disease in Ghana.
Background: Hepatitis E virus (HEV) infection is considered to be of significant public health importance in many developing countries. In this review, we aim to summarise studies on HEV with the aim of providing a further understanding of the epidemiology of the disease in Ghana. Methods: A systematic review was conducted by following the recommendations outlined in the PRISMA statement. Studies on HEV infection among Ghanaians were identified by searching for articles (published up until 4th August 2016) in the PubMed, ISI Web of Science, African Journals Online, Google Scholar and the WHO African Index Medicus databases. We also searched the websites of the Ministry of Health and the Ghana Health Service to identify any related non-indexed studies. References of all retrieved studies were screened to identify additional publications. Results: Ten studies involving a total of 2 894 participants from six regions of Ghana were identified. The proportion of Ghanaians showing positive serological markers for HEV infection was within the range of 5.8-71.55%. In addition, 0.7-45.9% tested positive for IgM antibodies while the proportion of Ghanaians testing positive for IgG antibodies was within the range of 0-45.3%. One study reporting a case fatality rate of 66.7% among pregnant women was identified. No information on HEV genotypes was retrieved. Conclusions: Although based on a limited number of studies, this review does highlight that there is a high level of HEV infection among Ghanaians. Preventive measures including educational interventions as well as general improvements to sanitary and living conditions are needed to reduce the burden of the disease. Additionally, further research regarding the contribution of the various HEV genotypes is urgently needed to fully understand the burden of this disease in Ghana.
Background: Types of viral hepatitis (A, B, C, D and E) that cause acute and/or chronic infection and liver inflammation are considered to be of significant global public health importance [1]. Hepatitis E (HEV) infection has long been regarded as being endemic in resource-poor regions such as Africa and Southeast Asia, where frequent outbreaks occur due to poor sanitation and hygiene [2, 3]. In more advanced countries, sporadic cases of acute HEV have been traced to individuals with a past history of travel to endemic areas [4]. According to the World Health Organization (WHO), more than 20 million HEV infections occur annually across the world resulting in over 3 million symptomatic cases of hepatitis E [2]. Hepatitis E does not usually develop into a carrier state and most individuals recover fully from acute HEV infections [2, 5]. In a few instances, however, it may progress into fulminant hepatitis, with a case fatality rate of around 1–2% in the general population [6] and as high as 40% in pregnant women [7]. The 2010 Global Burden of Disease Study estimated that there were more than 56 000 HEV-related deaths annually [8]. Although, there is wide acceptance that HEV is of significant public health importance in Ghana, the burden of the disease has not been thoroughly documented [9]. In this paper, we review studies on HEV infection in Ghana to summarise the available evidence regarding incidence and prevalence of the disease. To our knowledge, this is the first systematic review that has attempted to summarise the prevalence and incidence of HEV infection in Ghana. This paper forms part of an ongoing work aimed at documenting the burden of common viral hepatitis in Ghana. Studies on the estimated burdens of other hepatitis types arising from this broad work have been published elsewhere [10, 11]. Conclusions: Although this review is based on a limited number of studies, it does highlight a high level of HEV infection among Ghanaians. Preventive measures including educational interventions, screening of all donated blood and high-risk groups (e.g., HIV patients), as well as general improvement in sanitary and living conditions are needed to reduce the burden of the disease. Additionally, further research regarding the contribution of the various HEV genotypes is urgently needed to fully understand the burden of the disease in Ghana.
Background: Hepatitis E virus (HEV) infection is considered to be of significant public health importance in many developing countries. In this review, we aim to summarise studies on HEV with the aim of providing a further understanding of the epidemiology of the disease in Ghana. Methods: A systematic review was conducted by following the recommendations outlined in the PRISMA statement. Studies on HEV infection among Ghanaians were identified by searching for articles (published up until 4th August 2016) in the PubMed, ISI Web of Science, African Journals Online, Google Scholar and the WHO African Index Medicus databases. We also searched the websites of the Ministry of Health and the Ghana Health Service to identify any related non-indexed studies. References of all retrieved studies were screened to identify additional publications. Results: Ten studies involving a total of 2 894 participants from six regions of Ghana were identified. The proportion of Ghanaians showing positive serological markers for HEV infection was within the range of 5.8-71.55%. In addition, 0.7-45.9% tested positive for IgM antibodies while the proportion of Ghanaians testing positive for IgG antibodies was within the range of 0-45.3%. One study reporting a case fatality rate of 66.7% among pregnant women was identified. No information on HEV genotypes was retrieved. Conclusions: Although based on a limited number of studies, this review does highlight that there is a high level of HEV infection among Ghanaians. Preventive measures including educational interventions as well as general improvements to sanitary and living conditions are needed to reduce the burden of the disease. Additionally, further research regarding the contribution of the various HEV genotypes is urgently needed to fully understand the burden of this disease in Ghana.
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[ 360, 186, 39 ]
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[ "hev", "studies", "infection", "hev infection", "reported", "hepatitis", "positive", "ghana", "study", "igm" ]
[ "estimated burdens hepatitis", "incidence hev infection", "importance hepatitis hev", "prevalence incidence hev", "viral hepatitis country" ]
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[CONTENT] Hepatitis E | HEV | Infectious diseases | Viral hepatitis | Systematic review | Ghana [SUMMARY]
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[CONTENT] Hepatitis E | HEV | Infectious diseases | Viral hepatitis | Systematic review | Ghana [SUMMARY]
[CONTENT] Hepatitis E | HEV | Infectious diseases | Viral hepatitis | Systematic review | Ghana [SUMMARY]
[CONTENT] Hepatitis E | HEV | Infectious diseases | Viral hepatitis | Systematic review | Ghana [SUMMARY]
[CONTENT] Hepatitis E | HEV | Infectious diseases | Viral hepatitis | Systematic review | Ghana [SUMMARY]
[CONTENT] Adolescent | Adult | Aged | Child | Female | Ghana | Hepatitis E | Humans | Male | Middle Aged | Young Adult [SUMMARY]
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[CONTENT] Adolescent | Adult | Aged | Child | Female | Ghana | Hepatitis E | Humans | Male | Middle Aged | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Aged | Child | Female | Ghana | Hepatitis E | Humans | Male | Middle Aged | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Aged | Child | Female | Ghana | Hepatitis E | Humans | Male | Middle Aged | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Aged | Child | Female | Ghana | Hepatitis E | Humans | Male | Middle Aged | Young Adult [SUMMARY]
[CONTENT] estimated burdens hepatitis | incidence hev infection | importance hepatitis hev | prevalence incidence hev | viral hepatitis country [SUMMARY]
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[CONTENT] estimated burdens hepatitis | incidence hev infection | importance hepatitis hev | prevalence incidence hev | viral hepatitis country [SUMMARY]
[CONTENT] estimated burdens hepatitis | incidence hev infection | importance hepatitis hev | prevalence incidence hev | viral hepatitis country [SUMMARY]
[CONTENT] estimated burdens hepatitis | incidence hev infection | importance hepatitis hev | prevalence incidence hev | viral hepatitis country [SUMMARY]
[CONTENT] estimated burdens hepatitis | incidence hev infection | importance hepatitis hev | prevalence incidence hev | viral hepatitis country [SUMMARY]
[CONTENT] hev | studies | infection | hev infection | reported | hepatitis | positive | ghana | study | igm [SUMMARY]
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[CONTENT] hev | studies | infection | hev infection | reported | hepatitis | positive | ghana | study | igm [SUMMARY]
[CONTENT] hev | studies | infection | hev infection | reported | hepatitis | positive | ghana | study | igm [SUMMARY]
[CONTENT] hev | studies | infection | hev infection | reported | hepatitis | positive | ghana | study | igm [SUMMARY]
[CONTENT] hev | studies | infection | hev infection | reported | hepatitis | positive | ghana | study | igm [SUMMARY]
[CONTENT] hepatitis | hev | ghana | health | acute | disease | burden | global | world | health importance [SUMMARY]
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[CONTENT] studies | hev | positive | involved | 45 | sectionalgreater | 22 | cohort | 18 | determined [SUMMARY]
[CONTENT] needed | burden disease | burden | disease | high | highlight high | highlight | highlight high level | highlight high level hev | interventions [SUMMARY]
[CONTENT] hev | studies | infection | hev infection | hepatitis | reported | positive | study | ghana | fatality [SUMMARY]
[CONTENT] hev | studies | infection | hev infection | hepatitis | reported | positive | study | ghana | fatality [SUMMARY]
[CONTENT] ||| HEV | Ghana [SUMMARY]
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[CONTENT] Ten | 2 894 | six | Ghana ||| Ghanaians | 5.8-71.55% ||| 0.7-45.9% | Ghanaians | IgG | 0-45.3% ||| One | 66.7% ||| HEV [SUMMARY]
[CONTENT] Ghanaians ||| ||| Ghana [SUMMARY]
[CONTENT] ||| HEV | Ghana ||| PRISMA ||| Ghanaians | 4th August 2016 | PubMed | Google Scholar | African ||| the Ministry of Health | the Ghana Health Service ||| ||| Ten | 2 894 | six | Ghana ||| Ghanaians | 5.8-71.55% ||| 0.7-45.9% | Ghanaians | IgG | 0-45.3% ||| One | 66.7% ||| HEV ||| Ghanaians ||| ||| Ghana [SUMMARY]
[CONTENT] ||| HEV | Ghana ||| PRISMA ||| Ghanaians | 4th August 2016 | PubMed | Google Scholar | African ||| the Ministry of Health | the Ghana Health Service ||| ||| Ten | 2 894 | six | Ghana ||| Ghanaians | 5.8-71.55% ||| 0.7-45.9% | Ghanaians | IgG | 0-45.3% ||| One | 66.7% ||| HEV ||| Ghanaians ||| ||| Ghana [SUMMARY]
Short and ultra-short (<6-mm) locking-taper implants supporting single crowns in posterior areas (part II): A 5-year retrospective study on periodontally healthy patients and patients with a history of periodontitis.
35635514
Short and ultra-short implants implants supporting single crowns seem to demonstrate high percentages of survival and stable marginal bone levels at a mid-term follow-up. Nevertheless, insurgence of peri-implant complications still represents a critical issue, especially for patients with history of periodontitis.
BACKGROUND
Implants were placed in the maxillary and mandibular posterior regions of 142 patients with (PP) and without (NPP) a history of periodontitis. Clinical and radiographic examinations were performed at 5-year recall appointments.
MATERIALS AND METHODS
Implants respectively placed in PP and NPP were: 35.68% and 42.50% in 8.0 mm-length group, 33.33% and 36.67% in 6.0 mm-length group, and 30.99% and 20.83% in 5.0 mm-length group. Implant-based survival after 5 years of follow-up was 95.77% for PP and 96.67% for NPP (p = 0.77). Regarding crestal bone level variations, average crestal bone loss was statistically different (p = 0.04) among PP (0.74 mm) and NPP (0.61 mm). Implants presenting signs of mucositis were 6.86% in PP and 7.76% in NPP (p = 0.76). Setting the threshold for excessive bone loss at 1 mm after 60 months, peri-implantitis prevalence was 7.84% in PP and 2.59% in NPP (p = 0.08). Overall implant success was 92.16% and 97.41%, respectively, for PP and NPP.
RESULTS
Under strict maintenance program, five-year outcomes suggest that short and ultra-short locking-taper implants can be successfully restored with single crowns in the posterior jaws both in PP and NPP.
CONCLUSIONS
[ "Alveolar Bone Loss", "Crowns", "Dental Implants", "Dental Prosthesis Design", "Dental Prosthesis, Implant-Supported", "Dental Restoration Failure", "Follow-Up Studies", "Humans", "Periodontitis", "Retrospective Studies" ]
9546440
INTRODUCTION
The use of dental implants in supporting prosthetic rehabilitations for partially or totally edentulous patients showed a significant increase over the last decades. Several longitudinal studies 1 reported implant survival percentages ranging from 92.8% to 97.1% over a period up to 10 years, demonstrating that dental implants constitute a valid treatment option for the replacement of missing teeth. At this proposal, favorable results were recently provided for the use of short implants (6 mm‐length) as an effective therapy in the rehabilitation of upper maxillary and mandibular jaw atrophies. 2 , 3 Even if available 5‐year studies 4 support the use of these implants as a predictable method only if splinted with other implants, other current investigations propose the possibility of their use as single crown implants, 5 , 6 , 7 which may be suggested as a gold standard in terms of oral hygiene procedures. 8 Moreover, even if dental implants seem to demonstrate high percentages of survival and stable marginal bone levels at a long‐term follow‐up, insurgence of peri‐implant diseases still represents a critical issue. 9 Clinical signs of peri‐implant inflammation around soft tissues (bleeding on probing, erythema, swelling, and/or suppuration), without loss of supporting bone, typically regard the onset of peri‐mucositis. 10 , 11 Once this condition turns to a non‐reversible infection, in which periodontal bacteria are involved in massively reducing marginal bone levels, peri‐implantitis can be observed. Peri‐implantitis implies a non‐linear progressive bone destruction, with a faster progression rate compared to periodontitis, 12 , 13 due to specific microorganisms present at the implant site, host defense and absence of periodontal ligament. 9 , 14 It is thus essential to establish codified protocols to prevent or efficiently manage the development of peri‐implant diseases, 15 as peri‐implant inflammation is directly connected with the presence of plaque deposits. 9 , 10 , 11 At this regard, history of periodontitis is considered a preponderant risk factor, among others, in determining the possible development of severe peri‐implant complications. 16 Several reviews and metanalysis 17 , 18 , 19 reveal that patients with a history of periodontitis, over a long term, show higher values of probing pocket depth, greater bone loss and higher prevalence of peri‐implantitis compared to periodontally healthy patients. The evidence concerning clinical and radiographic outcomes of short and ultra‐short implants placed in patients with treated periodontitis is still scarce and lacking long‐term homogeneous follow‐ups. 20 , 21 , 22 , 23 Furthermore, it is currently highly debated the use of these implants supporting single crowns specifically in this type of patients. 22 Sites with deep pocketing and gingival bleeding typical of periodontitis, once properly treated to achieve a successful resolution of the inflammation, remain however characterized by an unavoidable bone loss, 24 for which reduced‐length implants often represent the main option to re‐establish a functional fixed rehabilitation. Despite the advantages offered by this solution, strict maintenance protocols need to be established in periodontal patients rehabilitated with implants, to avoid an additional extensive marginal bone loss, 25 that could be definitively harmful in case of a short or ultra‐short implant. Based on the limits of the already published 3‐year investigations, 8 , 22 authors here hypothesized that longer‐term assessment is required for a proper clinical evaluation of effective conditions of locking‐taper implants rehabilitated with single crowns, especially if placed in patients with history of periodontitis. The aim of this 5‐year retrospective study, which adds complementary results to another investigation on the same sample of patients, 23 was to assess implant survival, marginal bone loss and implant success of 333 short and ultra‐short implants restored with single crowns in the maxillary and mandibular edentulous posterior regions, respectively, placed in patients with history of periodontitis (PP), and patients without history of periodontitis (NPP). As previously described, 23 a rigorous value of 1 mm was set as threshold for radiographically detectable marginal bone loss, measured during the time interval from loading to 5‐year follow‐up, and compatible with implant success and absence of signs of peri‐implantitis.
null
null
RESULTS
Of the 333 implants placed in 142 patients (65 men and 77 women), 213 (63.96%) and 120 (36.04%) were respectively positioned in PP and NPP. 23 Furthermore, CIR in PP and NPP was respectively 2.01 ± 0.87 (range 0.91–3.81) and 1.78 ± 0.79 (range 1.05–3.52), with statistically significant differences among groups (p = 0.002). The implants distribution, analyzed according to PP and NPP, is presented in Table 1. Overall implants and PP/NPP‐groups distribution according to study variables Note: Age at follow‐up and oral professional hygiene/year are presented as mean ± standard deviation and median (iqr); for all other variables, values are presented as n (%). Abbreviations: NS, not statistically significant; d.f., degrees of freedom. As one early failure in one patient was assessed, the overall implant‐based survival at 60‐month follow‐up was 96.1%: 96.67% (116/120) in NPP and 95.77% (204/213) in PP, without significant differences between groups (p = 0.77). 23 Peri‐implantitis revealed to be the cause of failure in six out of nine cases (66.7%) of failed implants in PP, but in none of failed implants in NPP. The distribution of different variables related to failed implants is reported in Table 2. Failures features and cause of failures Abbreviations: ep, error of placement; peri, peri‐implantitis; rp, retrograde peri‐implantitis; fp, fracture of the post of the abutment. ΔCBL was 0.61 (0.87) mm and 0.74 (1.54) mm respectively in NPP and PP, with statistically significant differences between groups (p = 0.04). ΔF‐BIC was 0.01 (0.43) mm and 0.09 (0.79) mm respectively in NPP and PP, with no statistically significant differences between groups (p = 0.08). 23 Table 3 reports soft tissues conditions (PPD, mBI, mPLI and KT) at 5‐year recall appointment, according to length‐groups, arch‐groups or PP/NPP‐groups. Peri‐implantitis was found in 3 (2.59%) and 16 (7.84%) cases in NPP and PP respectively, with no statistically significant differences between groups (p = 0.08). 23 The overall implant‐based success at 60‐month follow‐up was 94.06% (301/320) 23 :92.16% for PP (respectively 36.7% in 8‐mm length, 32.45% in 6‐mm length and 30.85% in 5‐mm length);97.41% for NPP (respectively 43.36% in 8‐mm length, 36.28% in 6‐mm length and 20.36% in 5‐mm length).Regarding prevalence of mucositis, no significant differences (p < 0.05) were found between groups regarding PP/NPP, length or arch‐groups (Table 4). 92.16% for PP (respectively 36.7% in 8‐mm length, 32.45% in 6‐mm length and 30.85% in 5‐mm length); 97.41% for NPP (respectively 43.36% in 8‐mm length, 36.28% in 6‐mm length and 20.36% in 5‐mm length). Overall soft tissues indices (mBI, mPLI, PPD [mm], KT [mm]) according to PP/NPP‐groups, length‐groups and arch‐groups Note: mBI, mPLI, PPD and KT are presented as median (iqr). Abbreviations: NS, not statistically significant; d.f., degrees of freedom. Prevalence of peri‐mucositis according to PP/NPP‐groups, length‐groups and arch‐groups Note: For all variables, values are presented as n (%). Abbreviations: NS, not statistically significant; d.f., degrees of freedom; C.I., confidence interval.
CONCLUSIONS
Outcomes of the present study revealed that history of periodontitis represents a crucial factor for the success of short and ultra‐short implants, which need to be strictly monitored. These 5‐year results showed that short and ultra‐short locking‐taper implants supporting single‐crown restorations may represent a successful treatment for the rehabilitation of the atrophic posterior jaws both in PP and NPP, provided that patients are enrolled in a specific supportive protocol, carrying out adequate home care procedures and compliance with recall appointments. Regular attendance to a maintenance program may play an important role in determining stable results over time and in preventing peri‐implant diseases, avoiding the worsening of mucositis in potential peri‐implantitis. Further investigations with longer follow‐up and prospective design are of course necessary to validate these conclusions.
[ "INTRODUCTION", "Appendix of Materials and Methods", "AUTHOR CONTRIBUTIONS" ]
[ "The use of dental implants in supporting prosthetic rehabilitations for partially or totally edentulous patients showed a significant increase over the last decades. Several longitudinal studies\n1\n reported implant survival percentages ranging from 92.8% to 97.1% over a period up to 10 years, demonstrating that dental implants constitute a valid treatment option for the replacement of missing teeth. At this proposal, favorable results were recently provided for the use of short implants (6 mm‐length) as an effective therapy in the rehabilitation of upper maxillary and mandibular jaw atrophies.\n2\n, \n3\n Even if available 5‐year studies\n4\n support the use of these implants as a predictable method only if splinted with other implants, other current investigations propose the possibility of their use as single crown implants,\n5\n, \n6\n, \n7\n which may be suggested as a gold standard in terms of oral hygiene procedures.\n8\n\n\nMoreover, even if dental implants seem to demonstrate high percentages of survival and stable marginal bone levels at a long‐term follow‐up, insurgence of peri‐implant diseases still represents a critical issue.\n9\n Clinical signs of peri‐implant inflammation around soft tissues (bleeding on probing, erythema, swelling, and/or suppuration), without loss of supporting bone, typically regard the onset of peri‐mucositis.\n10\n, \n11\n Once this condition turns to a non‐reversible infection, in which periodontal bacteria are involved in massively reducing marginal bone levels, peri‐implantitis can be observed. Peri‐implantitis implies a non‐linear progressive bone destruction, with a faster progression rate compared to periodontitis,\n12\n, \n13\n due to specific microorganisms present at the implant site, host defense and absence of periodontal ligament.\n9\n, \n14\n It is thus essential to establish codified protocols to prevent or efficiently manage the development of peri‐implant diseases,\n15\n as peri‐implant inflammation is directly connected with the presence of plaque deposits.\n9\n, \n10\n, \n11\n\n\nAt this regard, history of periodontitis is considered a preponderant risk factor, among others, in determining the possible development of severe peri‐implant complications.\n16\n Several reviews and metanalysis\n17\n, \n18\n, \n19\n reveal that patients with a history of periodontitis, over a long term, show higher values of probing pocket depth, greater bone loss and higher prevalence of peri‐implantitis compared to periodontally healthy patients. The evidence concerning clinical and radiographic outcomes of short and ultra‐short implants placed in patients with treated periodontitis is still scarce and lacking long‐term homogeneous follow‐ups.\n20\n, \n21\n, \n22\n, \n23\n Furthermore, it is currently highly debated the use of these implants supporting single crowns specifically in this type of patients.\n22\n Sites with deep pocketing and gingival bleeding typical of periodontitis, once properly treated to achieve a successful resolution of the inflammation, remain however characterized by an unavoidable bone loss,\n24\n for which reduced‐length implants often represent the main option to re‐establish a functional fixed rehabilitation. Despite the advantages offered by this solution, strict maintenance protocols need to be established in periodontal patients rehabilitated with implants, to avoid an additional extensive marginal bone loss,\n25\n that could be definitively harmful in case of a short or ultra‐short implant.\nBased on the limits of the already published 3‐year investigations,\n8\n, \n22\n authors here hypothesized that longer‐term assessment is required for a proper clinical evaluation of effective conditions of locking‐taper implants rehabilitated with single crowns, especially if placed in patients with history of periodontitis. The aim of this 5‐year retrospective study, which adds complementary results to another investigation on the same sample of patients,\n23\n was to assess implant survival, marginal bone loss and implant success of 333 short and ultra‐short implants restored with single crowns in the maxillary and mandibular edentulous posterior regions, respectively, placed in patients with history of periodontitis (PP), and patients without history of periodontitis (NPP). As previously described,\n23\n a rigorous value of 1 mm was set as threshold for radiographically detectable marginal bone loss, measured during the time interval from loading to 5‐year follow‐up, and compatible with implant success and absence of signs of peri‐implantitis.", "The locking‐taper (Morse taper or Morse cone) dental implant system (Bicon Dental Implants, Bicon LLC) used in this study is characterized by a convergent crest module, platform switching, plateau root‐form design, and an Integra CP surface (hydroxyapatite treated and acid‐etched).\n8\n, \n22\n, \n23\n\n\nA complete clinical and radiographic evaluation (dental and periodontal status; panoramic and periapical radiograph, cone beam computed tomography) and basic periodontal treatment was performed before implant placement. A pre‐operative medication consisting of 2 g of Augmentin (875 mg amoxicillin plus 125 mg clavulanic acid), or 1 g of Klacid (Clarithromycin 500 mg) if allergic to penicillin, was given 1 h before surgery. All surgical procedures were performed under local anesthesia, using only Articain 4% with adrenaline 1:100 000 (Citocartin) or Articain 4% with adrenaline 1:100 000 (Citocartin) associated with oral sedation (Halcion 0.25 mg).\n8\n, \n22\n, \n23\n\n\nA full‐thickness flap was performed, and a high‐speed 2.0 mm‐diameter pilot drill (with a cutting edge at the apical portion and drilling at 1100 rpm) with external saline irrigation was used to perforate the cortical plate. Final pilot drilling length was determined by measuring residual bone height and adding at least 1.0 mm to the selected implant length to allow for a sub‐crestal implant placement. Latch reamers presenting a 0.5 mm progressive increase in diameter were used at 50 rpm, without external irrigation to widen the osteotomy until the final implant diameter was reached. The selected implant was manually inserted into the osteotomy, a healing plug was placed in the implant well, and autogenous bone collected during the slow speed preparation of the osteotomy was used to fill the gap between the implant and the bony walls. The incisions were closed by single polyglycolic acid sutures (Vycril, ACE Surgical Supply Co.). A post‐operative periapical radiograph was taken, post‐operative instructions were given as well as antibiotic and analgesic prescriptions.\n8\n, \n22\n, \n23\n\n\nAfter 4‐to‐6 months the implants were surgically uncovered, healing abutments were placed, and the mucosal flaps readapted around them. After three weeks of soft tissue healing, impressions were taken using a polyether material (3 M ESPE Impregum Impression Material). Definitive single‐crown porcelain or composite restorations were placed within 2 weeks. The choice for restorative materials (porcelain or composite) was based on patients' preference, which was guided by personal economic resources in most of the cases. The technique used for the composite restorations was the Integrated Abutment Crown (IAC), in which crowns are conventionally fabricated but also extra‐orally cemented to the abutment, excess cement is removed and then the one‐piece abutment and crown are inserted.\n28\n More precisely, the IAC is a cementless restoration for single‐tooth implants, where the crown is extra‐orally chemo‐mechanically bonded to the coronal part of a titanium alloy non‐shouldered or shouldered locking‐taper abutment, reduced using carbide burs to provide for smooth surface contours and subgingival margins: in this way, the implant abutment and the crown material constitute one unit. The crown is inserted into place by mean a gentle tapping using a 250‐g mallet, by mean a crown seating tip supplied by the manufacturer and a custom‐made acrylic tapping jig to ensure accurate proper seating. When composite material was preferred for the crown, a micro‐hybrid composite containing 73% by weight micro‐fine ceramic particles, embedded in an organic polymer matrix (Ceramage, Shofu Inc), was used. In case of choice of ceramic material, a bilayer crown was planned using a zirconia framework veneered with feldspar ceramic (Ceramica Natural ZiR, Tressis Italia srl).\n23\n\n\nRecall appointments were established to manage prosthetic complications as needed, and a maintenance program was designed to provide patients a professional oral hygiene session every 4 months.\n23\n\n\nPeri‐implant bone levels were measured through digitally scanned intraoral radiographs, performed with a paralleling technique, using Rinn centering devices (Rinn XCP Posterior Aiming Ring‐Yellow, Dentsply). This was done immediately after implant placement, at healing abutment placement, at prosthetic loading, and after 5 years of loading. Measurements were taken as previously described.\n8\n, \n22\n, \n23\n The implant‐abutment interface (IAI) was taken as a reference for measurements. CBL was measured on mesial and distal sides as the linear distance between the IAI and the highest point of the interproximal bone crest parallel to the lateral sides of the implant body: a positive value was given when the crest was located coronally to the IAI and a negative value when the crest was located apically to the IAI; for every implant, at each examination interval, an average mesial‐distal value was calculated. F‐BIC was defined as the first most coronal bone‐to‐implant relationship visible at the first line of contact, on both mesial and distal sides; if F‐BIC matches with IAI, the measurement was 0; if it is located apically, the measurement was a positive value.\n8\n, \n22\n, \n23\n As described in the literature, implants were divided into two groups on the basis of presenting a CIR less than or greater than two. The crown height was measured on the radiograph immediately after the prosthetic loading, from the most occlusal point to the IAI. Anatomical crown‐to‐implant ratio (in which the fulcrum is positioned at the interface between the implant shoulder and the crown‐abutment complex) was calculated by dividing the digital length of the crown by the digital length of the implant.\n8\n, \n22\n, \n23\n\n\nMeasurements were assessed with the aid of a software program (Rasband, W.S., ImageJ, U. S. National Institutes of Health, Bethesda, Maryland, USA) which uses a measuring tool in conjunction with a magnification tool. To correct the distortion of the radiographic image, the apparent size of each implant (measured directly on the radiograph) was compared with the actual length to determine, with adequate accuracy and precision, the amount of any changes of the crestal bone around each implant. Setting up the implant length as a known initial reference, the measurements were made to the nearest 0.01 mm. One dentist who was not involved in the treatment of the patients completed all the measurements on periapical radiographs; the observation intervals of radiographs were masked to the examiner. Before the start of the study, this investigator was calibrated for adequate intra‐ and inter‐examiner levels of reproducibility in recording the radiographic parameters.\n8\n, \n22\n, \n23\n\n\nThe calibration for intra‐examiner reproducibility was done with double recording of 25 measurements (25 implants), with an interval of 24 hours between the first and second recording. Three basic parameters, directly connected to CBL, F‐BIC and CIR, were measured on three radiographs, utilized for this purpose: mesial CBL, mesial F‐BIC and crown height, all at prosthetic loading. An average value lower than 0.20 mm was considered reliable as threshold limit from a clinically point of view. According to Bland–Altman Method,\n32\n 3 plots were obtained, with respective average values of difference between each pair of measurements, together with confidence intervals (C.I.) of: 0.01 mm (95% C.I.[−0.06;0.09]) for mesial CBL at loading, 0.00 mm (95% C.I.[−0.04;0.04])for mesial F‐BIC at loading, and − 0.01 mm (95% C.I.[−0.12;0.11]) for crown height.\nFurthermore, the abovementioned exercise, according to the same method, was repeated by another dentist (always not involved in the treatments of patients) for inter‐examiner reproducibility. The following respective average values of difference between each pair of measurements, together with C.I., were obtained: 0.00 mm (95% C.I.[−0.05;0.06]) for mesial CBL at loading, 0.00 mm (95% C.I.[−0.05;0.06]) for mesial F‐BIC at loading, and 0.01 mm (95% C.I.[−0.04;0.06]) for crown height.\nFor data collection, a database including all patients evaluated in the study was created with Microsoft Excel. All data analysis was carried out using Stata v.13.0 for Macintosh (StataCorp). The normality assumptions for continuous data were assessed by using the Shapiro–Wilk test; mean and standard deviation were reported for normally distributed data, median and interquartile range (iqr) otherwise. For categorical data, absolute frequencies, percentages and 95% confidence intervals were reported. The association between categorical variables was tested with χ\n2 test; if any of the expected values was less than 5, a Fisher's exact test was performed. The comparison between the means of continuous variables in two different times was performed by using paired Student's “t” test or Wilcoxon matched‐pairs signed‐rank test. The comparison between the means of two different groups was performed using unpaired Student's “t”, or Wilcoxon rank‐sum test. The comparison of the means among more than two groups was done using one‐way analysis of variance (ANOVA), or Kruskal‐Wallis equality‐of‐populations rank test. A multivariate analysis (logistic regression) was carried out to find factors associated with implant success. Significance level was set at 0.05.\n8\n, \n22\n, \n23\n\n\nThe study presents compliance with the STROBE checklist guidelines.\n33\n\n", "Giorgio Lombardo: Concept and design, critical revision and approval of article. Annarita Signoriello: Data collection and analysis, planning of statistics, drafting article. Alessia Pardo, Xiomara Zilena Serpa Romero, Luisa Arévalo Tovar: Data collection and analysis. Luis Armando Vila Sierra, Pier Francesco Nocini: Critical revision and approval of article. Mauro Marincola: Concept and design, critical revision and approval of article" ]
[ null, null, null ]
[ "INTRODUCTION", "MATERIALS AND METHODS", "Appendix of Materials and Methods", "RESULTS", "DISCUSSION", "CONCLUSIONS", "AUTHOR CONTRIBUTIONS", "CONFLICT OF INTEREST" ]
[ "The use of dental implants in supporting prosthetic rehabilitations for partially or totally edentulous patients showed a significant increase over the last decades. Several longitudinal studies\n1\n reported implant survival percentages ranging from 92.8% to 97.1% over a period up to 10 years, demonstrating that dental implants constitute a valid treatment option for the replacement of missing teeth. At this proposal, favorable results were recently provided for the use of short implants (6 mm‐length) as an effective therapy in the rehabilitation of upper maxillary and mandibular jaw atrophies.\n2\n, \n3\n Even if available 5‐year studies\n4\n support the use of these implants as a predictable method only if splinted with other implants, other current investigations propose the possibility of their use as single crown implants,\n5\n, \n6\n, \n7\n which may be suggested as a gold standard in terms of oral hygiene procedures.\n8\n\n\nMoreover, even if dental implants seem to demonstrate high percentages of survival and stable marginal bone levels at a long‐term follow‐up, insurgence of peri‐implant diseases still represents a critical issue.\n9\n Clinical signs of peri‐implant inflammation around soft tissues (bleeding on probing, erythema, swelling, and/or suppuration), without loss of supporting bone, typically regard the onset of peri‐mucositis.\n10\n, \n11\n Once this condition turns to a non‐reversible infection, in which periodontal bacteria are involved in massively reducing marginal bone levels, peri‐implantitis can be observed. Peri‐implantitis implies a non‐linear progressive bone destruction, with a faster progression rate compared to periodontitis,\n12\n, \n13\n due to specific microorganisms present at the implant site, host defense and absence of periodontal ligament.\n9\n, \n14\n It is thus essential to establish codified protocols to prevent or efficiently manage the development of peri‐implant diseases,\n15\n as peri‐implant inflammation is directly connected with the presence of plaque deposits.\n9\n, \n10\n, \n11\n\n\nAt this regard, history of periodontitis is considered a preponderant risk factor, among others, in determining the possible development of severe peri‐implant complications.\n16\n Several reviews and metanalysis\n17\n, \n18\n, \n19\n reveal that patients with a history of periodontitis, over a long term, show higher values of probing pocket depth, greater bone loss and higher prevalence of peri‐implantitis compared to periodontally healthy patients. The evidence concerning clinical and radiographic outcomes of short and ultra‐short implants placed in patients with treated periodontitis is still scarce and lacking long‐term homogeneous follow‐ups.\n20\n, \n21\n, \n22\n, \n23\n Furthermore, it is currently highly debated the use of these implants supporting single crowns specifically in this type of patients.\n22\n Sites with deep pocketing and gingival bleeding typical of periodontitis, once properly treated to achieve a successful resolution of the inflammation, remain however characterized by an unavoidable bone loss,\n24\n for which reduced‐length implants often represent the main option to re‐establish a functional fixed rehabilitation. Despite the advantages offered by this solution, strict maintenance protocols need to be established in periodontal patients rehabilitated with implants, to avoid an additional extensive marginal bone loss,\n25\n that could be definitively harmful in case of a short or ultra‐short implant.\nBased on the limits of the already published 3‐year investigations,\n8\n, \n22\n authors here hypothesized that longer‐term assessment is required for a proper clinical evaluation of effective conditions of locking‐taper implants rehabilitated with single crowns, especially if placed in patients with history of periodontitis. The aim of this 5‐year retrospective study, which adds complementary results to another investigation on the same sample of patients,\n23\n was to assess implant survival, marginal bone loss and implant success of 333 short and ultra‐short implants restored with single crowns in the maxillary and mandibular edentulous posterior regions, respectively, placed in patients with history of periodontitis (PP), and patients without history of periodontitis (NPP). As previously described,\n23\n a rigorous value of 1 mm was set as threshold for radiographically detectable marginal bone loss, measured during the time interval from loading to 5‐year follow‐up, and compatible with implant success and absence of signs of peri‐implantitis.", "A retrospective study with a 5‐year follow‐up was conducted in 2020 on patients who had been referred between February 2007 and June 2015, for edentulism (tooth loss caused by trauma, caries or periodontitis) in the posterior areas of maxilla and mandible at the Dental and Maxillo‐Facial Surgery Clinic at the University of Verona (Italy). The study was approved by the University Institutional Review Board (Prot. 34 939, CROWNMAXMAND, 30/05/18). The nature and aim of the study, together with the anonymity in the scientific use of data, were clearly presented in a written informed consent form, and signed by every patient. All procedures accorded with Helsinki Declaration and good clinical practice guidelines for research on human beings.\n23\n\n\nPatients enrolled for the study, which presented the same sample of the recently published 5‐year follow‐up retrospective study,\n23\n matched the following inclusion criteria\n8\n, \n22\n, \n23\n: aged between 18 and 90 years; having had single‐tooth replacement of at least one 8.0, 6.0, or 5.0 mm locking‐taper implant supporting a single crown; had reduced alveolar bone height and had no previous consent for bone augmentation procedures; had a history of treated periodontitis, or were never affected by any form of periodontitis; and who were compliant with a regular maintenance program (professional oral hygiene sessions every 4 months).\nPatients with a history of treated periodontitis were characterized by previously assessed forms of periodontitis, corresponding to stage I, II or III, and grade A or B, according to the latest updates on classification of periodontal and peri‐implant diseases.\n10\n, \n11\n, \n23\n, \n24\n These patients were subjects following a regular maintenance program on a reduced periodontium every 3 months to ensure gingival health at the time of implant placement. On the other hand, periodontally healthy patients were subjects never affected by any form of periodontitis.\n22\n, \n23\n\n\nExclusion criteria for the study were\n8\n, \n22\n, \n23\n: presence of active infection at an implant site; ASA status III, IV,V, and VI (according to the American Society of Anesthesiologists' classification), that is, severe systemic diseases or substantive functional limitations which contraindicated implant surgery (such as drug or alcohol abuse, uncontrolled diabetes mellitus, immunosuppression or immunodepression, severe autoimmune diseases, treatment or past treatment with intravenous amino‐bisphosphonates for metastatic bone diseases, radiotherapy to head or neck within 2 years prior to treatment, history of malignancy or chemotherapy within the previous year, treatment with oral amino‐bisphosphonates for more than 3 years, morbid obesity, active hepatitis, severe renal disease, severe cardiovascular conditions, recent history of myocardial infarction (MI) or transient ischemic attack (TIA)); untreated periodontitis; poor oral hygiene and motivation; current pregnancy or lactation; heavy smoking (more than 25 cigarettes per day); severe clenching or bruxism.\nAll surgical treatments were conducted by a single clinician, as previously described\n8\n, \n22\n, \n23\n [see Appendix]. Clinical and radiographic examinations\n8\n, \n22\n, \n23\n were performed during the follow‐up 5 years from loading time, one time per year at regular intervals. The post‐surgery evaluations and the follow‐up evaluations [see Appendix] were performed by two other operators both of whom were different from the clinician who performed the surgical phase.\nImplant lengths considered in the study were 8.0, 6.0, and 5.0 mm; implant diameters were 3, 3.5, 4.0, 4.5, 5.0, 6.0 and 6.5 mm. Covariates included were: sex, age, smoking history, history of periodontitis,\n10\n, \n11\n, \n24\n ASA status, number of oral hygiene sessions per year, use of interproximal oral hygiene devices, arch involved, tooth site, prosthetic material, crown‐to‐implant ratio (CIR).\n8\n, \n22\n, \n23\n\n\nA descriptive analysis was conducted between loading time and the 5‐year follow‐up time, according to covariates. This included assessment of crestal bone level (CBL, average bone level around implants at mesial and distal sides, expressed in mm), first bone‐to‐implant contact (F‐BIC, in mm)\n8\n, \n22\n, \n23\n, \n26\n with their variations ΔCBL (average bone loss) and ΔF‐BIC (average apical shift of the “first bone‐to‐implant contact point” position) [see Appendix].\nPeri‐implant soft tissues were assessed using a periodontal probe (Florida Probe; Florida Probes Company) and applying a force of mild intensity (0.25 N). For each implant site, four parameters were assessed. The Modified Bleeding Index (mBI), and the Modified Plaque Index (mPLI), as reported in the literature by Mombelli,\n27\n were used to record the appropriate values for the mesial, central, and distal on the buccal and lingual/palatal sides of each implant. Similarly, the peri‐implant probing depths (PPD) were performed on the same six sites. The amount of keratinized tissue (KT) was assessed by measuring the distance between the zenith of the buccal gingival margin and the mucogingival line.\n23\n\n\nBiological complications after loading were also assessed at the 5‐year recall appointment. According to the latest updates,\n10\n, \n11\n peri‐implant mucositis was defined as at least one soft‐tissue peri‐implant surface with positive BOP or pus on probing, PPD ≥4 mm, and no radiographically detectable bone loss. It should be noted that visual signs of inflammation can vary and that peri‐implant mucositis can exist around implants with variable levels of bone support.\n23\n\n\nWe diagnosed peri‐implantitis when an implant had simultaneously one surface with positive BOP or pus on probing, increasing PPD compared to previous examinations or PPD ≥5 mm in the absence of the previous examination data, and presence of radiographically detectable bone loss greater than 1 mm when compared with the loading measurements. As opposed to earlier 3‐year studies on locking‐taper implants,\n8\n, \n22\n the threshold for bone loss at a longer follow‐up of 5 years was set at 1 mm. This was done in recognition of the fact that in the present study implant length was highly reduced compared to other longer implant types, for which a threshold of 2 mm can be considered acceptable.\n10\n, \n11\n, \n13\n In case of 6.0 mm and 5.0 mm‐length implants, a marginal bone loss of 2 mm, representing slightly less than half of the entire implant length, appears to be underestimated after 5 years of follow‐up.\n23\n\n\nStudy outcomes were implant survival, marginal bone loss and implant success after 5 years of follow‐up, which were assessed according to covariates.\n23\n\n\nIn regard with implant survival, failure was considered as the need for implant removal either before loading (due to absence of osseointegration), or after loading (due to excessive bone loss). Implant survival was considered as the implant's state of being in function at the five‐year follow‐up evaluation, eg., symptom‐free, without mobility, radiolucency, or bone loss so severe as to warrant implant removal.\n22\n, \n23\n, \n28\n, \n29\n\n\nAmong survived implants, implant success was defined according to the following criteria\n30\n, \n31\n and to the defined bone loss threshold: absence of persistent pain, dysesthesia, or paraesthesia in the implant area; absence of peri‐implant infection with or without suppuration; absence of perceptible mobility of the implant; and finally, absence of persistent peri‐implant bone resorption greater than 1 mm during the time interval from loading to 5‐year follow‐up. Therefore, once the failed implants are excluded, implant success can be considered for survived implants without signs of peri‐implantitis\n23\n; on the other side, survived implants with signs of peri‐implantitis are not defined as successful.\nBy way of illustration, Figures 1 and 2 report some radiographic cases.\nSingle implant placed in 4.6 site (5 × 6 mm) in a patient without history of periodontal disease: (A) Pre‐operative radiograph before implant placement; (B) Radiograph obtained at time of placement; (C) Radiograph obtained at time of loading; (D) Radiograph obtained at 5‐year follow‐up\nSingle implants placed in 2.5 and 2.6 sites (4 × 8 mm and 4.5 × 6 mm) in a patient with history of periodontal disease: (A) Pre‐operative radiograph before implant placement; (B) Radiograph obtained at time of placement; (C) Radiograph obtained at time of loading; (D) Radiograph obtained at 5‐year follow‐up\nAppendix of Materials and Methods The locking‐taper (Morse taper or Morse cone) dental implant system (Bicon Dental Implants, Bicon LLC) used in this study is characterized by a convergent crest module, platform switching, plateau root‐form design, and an Integra CP surface (hydroxyapatite treated and acid‐etched).\n8\n, \n22\n, \n23\n\n\nA complete clinical and radiographic evaluation (dental and periodontal status; panoramic and periapical radiograph, cone beam computed tomography) and basic periodontal treatment was performed before implant placement. A pre‐operative medication consisting of 2 g of Augmentin (875 mg amoxicillin plus 125 mg clavulanic acid), or 1 g of Klacid (Clarithromycin 500 mg) if allergic to penicillin, was given 1 h before surgery. All surgical procedures were performed under local anesthesia, using only Articain 4% with adrenaline 1:100 000 (Citocartin) or Articain 4% with adrenaline 1:100 000 (Citocartin) associated with oral sedation (Halcion 0.25 mg).\n8\n, \n22\n, \n23\n\n\nA full‐thickness flap was performed, and a high‐speed 2.0 mm‐diameter pilot drill (with a cutting edge at the apical portion and drilling at 1100 rpm) with external saline irrigation was used to perforate the cortical plate. Final pilot drilling length was determined by measuring residual bone height and adding at least 1.0 mm to the selected implant length to allow for a sub‐crestal implant placement. Latch reamers presenting a 0.5 mm progressive increase in diameter were used at 50 rpm, without external irrigation to widen the osteotomy until the final implant diameter was reached. The selected implant was manually inserted into the osteotomy, a healing plug was placed in the implant well, and autogenous bone collected during the slow speed preparation of the osteotomy was used to fill the gap between the implant and the bony walls. The incisions were closed by single polyglycolic acid sutures (Vycril, ACE Surgical Supply Co.). A post‐operative periapical radiograph was taken, post‐operative instructions were given as well as antibiotic and analgesic prescriptions.\n8\n, \n22\n, \n23\n\n\nAfter 4‐to‐6 months the implants were surgically uncovered, healing abutments were placed, and the mucosal flaps readapted around them. After three weeks of soft tissue healing, impressions were taken using a polyether material (3 M ESPE Impregum Impression Material). Definitive single‐crown porcelain or composite restorations were placed within 2 weeks. The choice for restorative materials (porcelain or composite) was based on patients' preference, which was guided by personal economic resources in most of the cases. The technique used for the composite restorations was the Integrated Abutment Crown (IAC), in which crowns are conventionally fabricated but also extra‐orally cemented to the abutment, excess cement is removed and then the one‐piece abutment and crown are inserted.\n28\n More precisely, the IAC is a cementless restoration for single‐tooth implants, where the crown is extra‐orally chemo‐mechanically bonded to the coronal part of a titanium alloy non‐shouldered or shouldered locking‐taper abutment, reduced using carbide burs to provide for smooth surface contours and subgingival margins: in this way, the implant abutment and the crown material constitute one unit. The crown is inserted into place by mean a gentle tapping using a 250‐g mallet, by mean a crown seating tip supplied by the manufacturer and a custom‐made acrylic tapping jig to ensure accurate proper seating. When composite material was preferred for the crown, a micro‐hybrid composite containing 73% by weight micro‐fine ceramic particles, embedded in an organic polymer matrix (Ceramage, Shofu Inc), was used. In case of choice of ceramic material, a bilayer crown was planned using a zirconia framework veneered with feldspar ceramic (Ceramica Natural ZiR, Tressis Italia srl).\n23\n\n\nRecall appointments were established to manage prosthetic complications as needed, and a maintenance program was designed to provide patients a professional oral hygiene session every 4 months.\n23\n\n\nPeri‐implant bone levels were measured through digitally scanned intraoral radiographs, performed with a paralleling technique, using Rinn centering devices (Rinn XCP Posterior Aiming Ring‐Yellow, Dentsply). This was done immediately after implant placement, at healing abutment placement, at prosthetic loading, and after 5 years of loading. Measurements were taken as previously described.\n8\n, \n22\n, \n23\n The implant‐abutment interface (IAI) was taken as a reference for measurements. CBL was measured on mesial and distal sides as the linear distance between the IAI and the highest point of the interproximal bone crest parallel to the lateral sides of the implant body: a positive value was given when the crest was located coronally to the IAI and a negative value when the crest was located apically to the IAI; for every implant, at each examination interval, an average mesial‐distal value was calculated. F‐BIC was defined as the first most coronal bone‐to‐implant relationship visible at the first line of contact, on both mesial and distal sides; if F‐BIC matches with IAI, the measurement was 0; if it is located apically, the measurement was a positive value.\n8\n, \n22\n, \n23\n As described in the literature, implants were divided into two groups on the basis of presenting a CIR less than or greater than two. The crown height was measured on the radiograph immediately after the prosthetic loading, from the most occlusal point to the IAI. Anatomical crown‐to‐implant ratio (in which the fulcrum is positioned at the interface between the implant shoulder and the crown‐abutment complex) was calculated by dividing the digital length of the crown by the digital length of the implant.\n8\n, \n22\n, \n23\n\n\nMeasurements were assessed with the aid of a software program (Rasband, W.S., ImageJ, U. S. National Institutes of Health, Bethesda, Maryland, USA) which uses a measuring tool in conjunction with a magnification tool. To correct the distortion of the radiographic image, the apparent size of each implant (measured directly on the radiograph) was compared with the actual length to determine, with adequate accuracy and precision, the amount of any changes of the crestal bone around each implant. Setting up the implant length as a known initial reference, the measurements were made to the nearest 0.01 mm. One dentist who was not involved in the treatment of the patients completed all the measurements on periapical radiographs; the observation intervals of radiographs were masked to the examiner. Before the start of the study, this investigator was calibrated for adequate intra‐ and inter‐examiner levels of reproducibility in recording the radiographic parameters.\n8\n, \n22\n, \n23\n\n\nThe calibration for intra‐examiner reproducibility was done with double recording of 25 measurements (25 implants), with an interval of 24 hours between the first and second recording. Three basic parameters, directly connected to CBL, F‐BIC and CIR, were measured on three radiographs, utilized for this purpose: mesial CBL, mesial F‐BIC and crown height, all at prosthetic loading. An average value lower than 0.20 mm was considered reliable as threshold limit from a clinically point of view. According to Bland–Altman Method,\n32\n 3 plots were obtained, with respective average values of difference between each pair of measurements, together with confidence intervals (C.I.) of: 0.01 mm (95% C.I.[−0.06;0.09]) for mesial CBL at loading, 0.00 mm (95% C.I.[−0.04;0.04])for mesial F‐BIC at loading, and − 0.01 mm (95% C.I.[−0.12;0.11]) for crown height.\nFurthermore, the abovementioned exercise, according to the same method, was repeated by another dentist (always not involved in the treatments of patients) for inter‐examiner reproducibility. The following respective average values of difference between each pair of measurements, together with C.I., were obtained: 0.00 mm (95% C.I.[−0.05;0.06]) for mesial CBL at loading, 0.00 mm (95% C.I.[−0.05;0.06]) for mesial F‐BIC at loading, and 0.01 mm (95% C.I.[−0.04;0.06]) for crown height.\nFor data collection, a database including all patients evaluated in the study was created with Microsoft Excel. All data analysis was carried out using Stata v.13.0 for Macintosh (StataCorp). The normality assumptions for continuous data were assessed by using the Shapiro–Wilk test; mean and standard deviation were reported for normally distributed data, median and interquartile range (iqr) otherwise. For categorical data, absolute frequencies, percentages and 95% confidence intervals were reported. The association between categorical variables was tested with χ\n2 test; if any of the expected values was less than 5, a Fisher's exact test was performed. The comparison between the means of continuous variables in two different times was performed by using paired Student's “t” test or Wilcoxon matched‐pairs signed‐rank test. The comparison between the means of two different groups was performed using unpaired Student's “t”, or Wilcoxon rank‐sum test. The comparison of the means among more than two groups was done using one‐way analysis of variance (ANOVA), or Kruskal‐Wallis equality‐of‐populations rank test. A multivariate analysis (logistic regression) was carried out to find factors associated with implant success. Significance level was set at 0.05.\n8\n, \n22\n, \n23\n\n\nThe study presents compliance with the STROBE checklist guidelines.\n33\n\n\nThe locking‐taper (Morse taper or Morse cone) dental implant system (Bicon Dental Implants, Bicon LLC) used in this study is characterized by a convergent crest module, platform switching, plateau root‐form design, and an Integra CP surface (hydroxyapatite treated and acid‐etched).\n8\n, \n22\n, \n23\n\n\nA complete clinical and radiographic evaluation (dental and periodontal status; panoramic and periapical radiograph, cone beam computed tomography) and basic periodontal treatment was performed before implant placement. A pre‐operative medication consisting of 2 g of Augmentin (875 mg amoxicillin plus 125 mg clavulanic acid), or 1 g of Klacid (Clarithromycin 500 mg) if allergic to penicillin, was given 1 h before surgery. All surgical procedures were performed under local anesthesia, using only Articain 4% with adrenaline 1:100 000 (Citocartin) or Articain 4% with adrenaline 1:100 000 (Citocartin) associated with oral sedation (Halcion 0.25 mg).\n8\n, \n22\n, \n23\n\n\nA full‐thickness flap was performed, and a high‐speed 2.0 mm‐diameter pilot drill (with a cutting edge at the apical portion and drilling at 1100 rpm) with external saline irrigation was used to perforate the cortical plate. Final pilot drilling length was determined by measuring residual bone height and adding at least 1.0 mm to the selected implant length to allow for a sub‐crestal implant placement. Latch reamers presenting a 0.5 mm progressive increase in diameter were used at 50 rpm, without external irrigation to widen the osteotomy until the final implant diameter was reached. The selected implant was manually inserted into the osteotomy, a healing plug was placed in the implant well, and autogenous bone collected during the slow speed preparation of the osteotomy was used to fill the gap between the implant and the bony walls. The incisions were closed by single polyglycolic acid sutures (Vycril, ACE Surgical Supply Co.). A post‐operative periapical radiograph was taken, post‐operative instructions were given as well as antibiotic and analgesic prescriptions.\n8\n, \n22\n, \n23\n\n\nAfter 4‐to‐6 months the implants were surgically uncovered, healing abutments were placed, and the mucosal flaps readapted around them. After three weeks of soft tissue healing, impressions were taken using a polyether material (3 M ESPE Impregum Impression Material). Definitive single‐crown porcelain or composite restorations were placed within 2 weeks. The choice for restorative materials (porcelain or composite) was based on patients' preference, which was guided by personal economic resources in most of the cases. The technique used for the composite restorations was the Integrated Abutment Crown (IAC), in which crowns are conventionally fabricated but also extra‐orally cemented to the abutment, excess cement is removed and then the one‐piece abutment and crown are inserted.\n28\n More precisely, the IAC is a cementless restoration for single‐tooth implants, where the crown is extra‐orally chemo‐mechanically bonded to the coronal part of a titanium alloy non‐shouldered or shouldered locking‐taper abutment, reduced using carbide burs to provide for smooth surface contours and subgingival margins: in this way, the implant abutment and the crown material constitute one unit. The crown is inserted into place by mean a gentle tapping using a 250‐g mallet, by mean a crown seating tip supplied by the manufacturer and a custom‐made acrylic tapping jig to ensure accurate proper seating. When composite material was preferred for the crown, a micro‐hybrid composite containing 73% by weight micro‐fine ceramic particles, embedded in an organic polymer matrix (Ceramage, Shofu Inc), was used. In case of choice of ceramic material, a bilayer crown was planned using a zirconia framework veneered with feldspar ceramic (Ceramica Natural ZiR, Tressis Italia srl).\n23\n\n\nRecall appointments were established to manage prosthetic complications as needed, and a maintenance program was designed to provide patients a professional oral hygiene session every 4 months.\n23\n\n\nPeri‐implant bone levels were measured through digitally scanned intraoral radiographs, performed with a paralleling technique, using Rinn centering devices (Rinn XCP Posterior Aiming Ring‐Yellow, Dentsply). This was done immediately after implant placement, at healing abutment placement, at prosthetic loading, and after 5 years of loading. Measurements were taken as previously described.\n8\n, \n22\n, \n23\n The implant‐abutment interface (IAI) was taken as a reference for measurements. CBL was measured on mesial and distal sides as the linear distance between the IAI and the highest point of the interproximal bone crest parallel to the lateral sides of the implant body: a positive value was given when the crest was located coronally to the IAI and a negative value when the crest was located apically to the IAI; for every implant, at each examination interval, an average mesial‐distal value was calculated. F‐BIC was defined as the first most coronal bone‐to‐implant relationship visible at the first line of contact, on both mesial and distal sides; if F‐BIC matches with IAI, the measurement was 0; if it is located apically, the measurement was a positive value.\n8\n, \n22\n, \n23\n As described in the literature, implants were divided into two groups on the basis of presenting a CIR less than or greater than two. The crown height was measured on the radiograph immediately after the prosthetic loading, from the most occlusal point to the IAI. Anatomical crown‐to‐implant ratio (in which the fulcrum is positioned at the interface between the implant shoulder and the crown‐abutment complex) was calculated by dividing the digital length of the crown by the digital length of the implant.\n8\n, \n22\n, \n23\n\n\nMeasurements were assessed with the aid of a software program (Rasband, W.S., ImageJ, U. S. National Institutes of Health, Bethesda, Maryland, USA) which uses a measuring tool in conjunction with a magnification tool. To correct the distortion of the radiographic image, the apparent size of each implant (measured directly on the radiograph) was compared with the actual length to determine, with adequate accuracy and precision, the amount of any changes of the crestal bone around each implant. Setting up the implant length as a known initial reference, the measurements were made to the nearest 0.01 mm. One dentist who was not involved in the treatment of the patients completed all the measurements on periapical radiographs; the observation intervals of radiographs were masked to the examiner. Before the start of the study, this investigator was calibrated for adequate intra‐ and inter‐examiner levels of reproducibility in recording the radiographic parameters.\n8\n, \n22\n, \n23\n\n\nThe calibration for intra‐examiner reproducibility was done with double recording of 25 measurements (25 implants), with an interval of 24 hours between the first and second recording. Three basic parameters, directly connected to CBL, F‐BIC and CIR, were measured on three radiographs, utilized for this purpose: mesial CBL, mesial F‐BIC and crown height, all at prosthetic loading. An average value lower than 0.20 mm was considered reliable as threshold limit from a clinically point of view. According to Bland–Altman Method,\n32\n 3 plots were obtained, with respective average values of difference between each pair of measurements, together with confidence intervals (C.I.) of: 0.01 mm (95% C.I.[−0.06;0.09]) for mesial CBL at loading, 0.00 mm (95% C.I.[−0.04;0.04])for mesial F‐BIC at loading, and − 0.01 mm (95% C.I.[−0.12;0.11]) for crown height.\nFurthermore, the abovementioned exercise, according to the same method, was repeated by another dentist (always not involved in the treatments of patients) for inter‐examiner reproducibility. The following respective average values of difference between each pair of measurements, together with C.I., were obtained: 0.00 mm (95% C.I.[−0.05;0.06]) for mesial CBL at loading, 0.00 mm (95% C.I.[−0.05;0.06]) for mesial F‐BIC at loading, and 0.01 mm (95% C.I.[−0.04;0.06]) for crown height.\nFor data collection, a database including all patients evaluated in the study was created with Microsoft Excel. All data analysis was carried out using Stata v.13.0 for Macintosh (StataCorp). The normality assumptions for continuous data were assessed by using the Shapiro–Wilk test; mean and standard deviation were reported for normally distributed data, median and interquartile range (iqr) otherwise. For categorical data, absolute frequencies, percentages and 95% confidence intervals were reported. The association between categorical variables was tested with χ\n2 test; if any of the expected values was less than 5, a Fisher's exact test was performed. The comparison between the means of continuous variables in two different times was performed by using paired Student's “t” test or Wilcoxon matched‐pairs signed‐rank test. The comparison between the means of two different groups was performed using unpaired Student's “t”, or Wilcoxon rank‐sum test. The comparison of the means among more than two groups was done using one‐way analysis of variance (ANOVA), or Kruskal‐Wallis equality‐of‐populations rank test. A multivariate analysis (logistic regression) was carried out to find factors associated with implant success. Significance level was set at 0.05.\n8\n, \n22\n, \n23\n\n\nThe study presents compliance with the STROBE checklist guidelines.\n33\n\n", "The locking‐taper (Morse taper or Morse cone) dental implant system (Bicon Dental Implants, Bicon LLC) used in this study is characterized by a convergent crest module, platform switching, plateau root‐form design, and an Integra CP surface (hydroxyapatite treated and acid‐etched).\n8\n, \n22\n, \n23\n\n\nA complete clinical and radiographic evaluation (dental and periodontal status; panoramic and periapical radiograph, cone beam computed tomography) and basic periodontal treatment was performed before implant placement. A pre‐operative medication consisting of 2 g of Augmentin (875 mg amoxicillin plus 125 mg clavulanic acid), or 1 g of Klacid (Clarithromycin 500 mg) if allergic to penicillin, was given 1 h before surgery. All surgical procedures were performed under local anesthesia, using only Articain 4% with adrenaline 1:100 000 (Citocartin) or Articain 4% with adrenaline 1:100 000 (Citocartin) associated with oral sedation (Halcion 0.25 mg).\n8\n, \n22\n, \n23\n\n\nA full‐thickness flap was performed, and a high‐speed 2.0 mm‐diameter pilot drill (with a cutting edge at the apical portion and drilling at 1100 rpm) with external saline irrigation was used to perforate the cortical plate. Final pilot drilling length was determined by measuring residual bone height and adding at least 1.0 mm to the selected implant length to allow for a sub‐crestal implant placement. Latch reamers presenting a 0.5 mm progressive increase in diameter were used at 50 rpm, without external irrigation to widen the osteotomy until the final implant diameter was reached. The selected implant was manually inserted into the osteotomy, a healing plug was placed in the implant well, and autogenous bone collected during the slow speed preparation of the osteotomy was used to fill the gap between the implant and the bony walls. The incisions were closed by single polyglycolic acid sutures (Vycril, ACE Surgical Supply Co.). A post‐operative periapical radiograph was taken, post‐operative instructions were given as well as antibiotic and analgesic prescriptions.\n8\n, \n22\n, \n23\n\n\nAfter 4‐to‐6 months the implants were surgically uncovered, healing abutments were placed, and the mucosal flaps readapted around them. After three weeks of soft tissue healing, impressions were taken using a polyether material (3 M ESPE Impregum Impression Material). Definitive single‐crown porcelain or composite restorations were placed within 2 weeks. The choice for restorative materials (porcelain or composite) was based on patients' preference, which was guided by personal economic resources in most of the cases. The technique used for the composite restorations was the Integrated Abutment Crown (IAC), in which crowns are conventionally fabricated but also extra‐orally cemented to the abutment, excess cement is removed and then the one‐piece abutment and crown are inserted.\n28\n More precisely, the IAC is a cementless restoration for single‐tooth implants, where the crown is extra‐orally chemo‐mechanically bonded to the coronal part of a titanium alloy non‐shouldered or shouldered locking‐taper abutment, reduced using carbide burs to provide for smooth surface contours and subgingival margins: in this way, the implant abutment and the crown material constitute one unit. The crown is inserted into place by mean a gentle tapping using a 250‐g mallet, by mean a crown seating tip supplied by the manufacturer and a custom‐made acrylic tapping jig to ensure accurate proper seating. When composite material was preferred for the crown, a micro‐hybrid composite containing 73% by weight micro‐fine ceramic particles, embedded in an organic polymer matrix (Ceramage, Shofu Inc), was used. In case of choice of ceramic material, a bilayer crown was planned using a zirconia framework veneered with feldspar ceramic (Ceramica Natural ZiR, Tressis Italia srl).\n23\n\n\nRecall appointments were established to manage prosthetic complications as needed, and a maintenance program was designed to provide patients a professional oral hygiene session every 4 months.\n23\n\n\nPeri‐implant bone levels were measured through digitally scanned intraoral radiographs, performed with a paralleling technique, using Rinn centering devices (Rinn XCP Posterior Aiming Ring‐Yellow, Dentsply). This was done immediately after implant placement, at healing abutment placement, at prosthetic loading, and after 5 years of loading. Measurements were taken as previously described.\n8\n, \n22\n, \n23\n The implant‐abutment interface (IAI) was taken as a reference for measurements. CBL was measured on mesial and distal sides as the linear distance between the IAI and the highest point of the interproximal bone crest parallel to the lateral sides of the implant body: a positive value was given when the crest was located coronally to the IAI and a negative value when the crest was located apically to the IAI; for every implant, at each examination interval, an average mesial‐distal value was calculated. F‐BIC was defined as the first most coronal bone‐to‐implant relationship visible at the first line of contact, on both mesial and distal sides; if F‐BIC matches with IAI, the measurement was 0; if it is located apically, the measurement was a positive value.\n8\n, \n22\n, \n23\n As described in the literature, implants were divided into two groups on the basis of presenting a CIR less than or greater than two. The crown height was measured on the radiograph immediately after the prosthetic loading, from the most occlusal point to the IAI. Anatomical crown‐to‐implant ratio (in which the fulcrum is positioned at the interface between the implant shoulder and the crown‐abutment complex) was calculated by dividing the digital length of the crown by the digital length of the implant.\n8\n, \n22\n, \n23\n\n\nMeasurements were assessed with the aid of a software program (Rasband, W.S., ImageJ, U. S. National Institutes of Health, Bethesda, Maryland, USA) which uses a measuring tool in conjunction with a magnification tool. To correct the distortion of the radiographic image, the apparent size of each implant (measured directly on the radiograph) was compared with the actual length to determine, with adequate accuracy and precision, the amount of any changes of the crestal bone around each implant. Setting up the implant length as a known initial reference, the measurements were made to the nearest 0.01 mm. One dentist who was not involved in the treatment of the patients completed all the measurements on periapical radiographs; the observation intervals of radiographs were masked to the examiner. Before the start of the study, this investigator was calibrated for adequate intra‐ and inter‐examiner levels of reproducibility in recording the radiographic parameters.\n8\n, \n22\n, \n23\n\n\nThe calibration for intra‐examiner reproducibility was done with double recording of 25 measurements (25 implants), with an interval of 24 hours between the first and second recording. Three basic parameters, directly connected to CBL, F‐BIC and CIR, were measured on three radiographs, utilized for this purpose: mesial CBL, mesial F‐BIC and crown height, all at prosthetic loading. An average value lower than 0.20 mm was considered reliable as threshold limit from a clinically point of view. According to Bland–Altman Method,\n32\n 3 plots were obtained, with respective average values of difference between each pair of measurements, together with confidence intervals (C.I.) of: 0.01 mm (95% C.I.[−0.06;0.09]) for mesial CBL at loading, 0.00 mm (95% C.I.[−0.04;0.04])for mesial F‐BIC at loading, and − 0.01 mm (95% C.I.[−0.12;0.11]) for crown height.\nFurthermore, the abovementioned exercise, according to the same method, was repeated by another dentist (always not involved in the treatments of patients) for inter‐examiner reproducibility. The following respective average values of difference between each pair of measurements, together with C.I., were obtained: 0.00 mm (95% C.I.[−0.05;0.06]) for mesial CBL at loading, 0.00 mm (95% C.I.[−0.05;0.06]) for mesial F‐BIC at loading, and 0.01 mm (95% C.I.[−0.04;0.06]) for crown height.\nFor data collection, a database including all patients evaluated in the study was created with Microsoft Excel. All data analysis was carried out using Stata v.13.0 for Macintosh (StataCorp). The normality assumptions for continuous data were assessed by using the Shapiro–Wilk test; mean and standard deviation were reported for normally distributed data, median and interquartile range (iqr) otherwise. For categorical data, absolute frequencies, percentages and 95% confidence intervals were reported. The association between categorical variables was tested with χ\n2 test; if any of the expected values was less than 5, a Fisher's exact test was performed. The comparison between the means of continuous variables in two different times was performed by using paired Student's “t” test or Wilcoxon matched‐pairs signed‐rank test. The comparison between the means of two different groups was performed using unpaired Student's “t”, or Wilcoxon rank‐sum test. The comparison of the means among more than two groups was done using one‐way analysis of variance (ANOVA), or Kruskal‐Wallis equality‐of‐populations rank test. A multivariate analysis (logistic regression) was carried out to find factors associated with implant success. Significance level was set at 0.05.\n8\n, \n22\n, \n23\n\n\nThe study presents compliance with the STROBE checklist guidelines.\n33\n\n", "Of the 333 implants placed in 142 patients (65 men and 77 women), 213 (63.96%) and 120 (36.04%) were respectively positioned in PP and NPP.\n23\n Furthermore, CIR in PP and NPP was respectively 2.01 ± 0.87 (range 0.91–3.81) and 1.78 ± 0.79 (range 1.05–3.52), with statistically significant differences among groups (p = 0.002). The implants distribution, analyzed according to PP and NPP, is presented in Table 1.\nOverall implants and PP/NPP‐groups distribution according to study variables\n\nNote: Age at follow‐up and oral professional hygiene/year are presented as mean ± standard deviation and median (iqr); for all other variables, values are presented as n (%).\nAbbreviations: NS, not statistically significant; d.f., degrees of freedom.\nAs one early failure in one patient was assessed, the overall implant‐based survival at 60‐month follow‐up was 96.1%: 96.67% (116/120) in NPP and 95.77% (204/213) in PP, without significant differences between groups (p = 0.77).\n23\n Peri‐implantitis revealed to be the cause of failure in six out of nine cases (66.7%) of failed implants in PP, but in none of failed implants in NPP. The distribution of different variables related to failed implants is reported in Table 2.\nFailures features and cause of failures\nAbbreviations: ep, error of placement; peri, peri‐implantitis; rp, retrograde peri‐implantitis; fp, fracture of the post of the abutment.\nΔCBL was 0.61 (0.87) mm and 0.74 (1.54) mm respectively in NPP and PP, with statistically significant differences between groups (p = 0.04). ΔF‐BIC was 0.01 (0.43) mm and 0.09 (0.79) mm respectively in NPP and PP, with no statistically significant differences between groups (p = 0.08).\n23\n\n\nTable 3 reports soft tissues conditions (PPD, mBI, mPLI and KT) at 5‐year recall appointment, according to length‐groups, arch‐groups or PP/NPP‐groups. Peri‐implantitis was found in 3 (2.59%) and 16 (7.84%) cases in NPP and PP respectively, with no statistically significant differences between groups (p = 0.08).\n23\n The overall implant‐based success at 60‐month follow‐up was 94.06% (301/320)\n23\n:92.16% for PP (respectively 36.7% in 8‐mm length, 32.45% in 6‐mm length and 30.85% in 5‐mm length);97.41% for NPP (respectively 43.36% in 8‐mm length, 36.28% in 6‐mm length and 20.36% in 5‐mm length).Regarding prevalence of mucositis, no significant differences (p < 0.05) were found between groups regarding PP/NPP, length or arch‐groups (Table 4).\n92.16% for PP (respectively 36.7% in 8‐mm length, 32.45% in 6‐mm length and 30.85% in 5‐mm length);\n97.41% for NPP (respectively 43.36% in 8‐mm length, 36.28% in 6‐mm length and 20.36% in 5‐mm length).\nOverall soft tissues indices (mBI, mPLI, PPD [mm], KT [mm]) according to PP/NPP‐groups, length‐groups and arch‐groups\n\nNote: mBI, mPLI, PPD and KT are presented as median (iqr).\nAbbreviations: NS, not statistically significant; d.f., degrees of freedom.\nPrevalence of peri‐mucositis according to PP/NPP‐groups, length‐groups and arch‐groups\n\nNote: For all variables, values are presented as n (%).\nAbbreviations: NS, not statistically significant; d.f., degrees of freedom; C.I., confidence interval.", "Over the last decades, implant placement has become a widespread and predictable methodology of treatment for partially edentulous posterior regions. As sufficient bone volume available for standard‐length implant rehabilitation is not always present, the use of short implants (<6‐mm) is frequently chosen among clinicians as a minimally invasive treatment modality, for the reduction of number of major surgeries, potential morbidity, times and costs.\n34\n, \n35\n, \n36\n, \n37\n Recent metanalysis reported that short implants have almost comparable outcomes, in terms of implant survival, marginal bone loss and peri‐implant complications, to standard‐sized dental implant (>6‐mm) and may be considered a valid alternative therapy to augmentation procedures for maxillary and mandibular jaw atrophies.\n2\n, \n3\n, \n6\n, \n38\n, \n39\n\n\nNevertheless, while a large amount of research data on long‐term success of standard and short implants in periodontally healthy patients is currently available, only few short‐term studies (3‐year follow‐up) are present in the literature about the influence of periodontitis on the implant survival of short implants in PP, and they do not allow for definitive conclusions.\n20\n, \n21\n, \n40\n, \n41\n, \n42\n Han et al.,\n40\n in a retrospective study in which two or three splinted implants 6 mm‐length and 4 mm‐diameter were placed in each patient, found a one‐year survival rate of 95.8% for 95 short implants; the great majority of participants had chronic periodontitis (77.1%). Correia et al.,\n41\n in a 3‐year retrospective study on 202 patients and 689 implants of different types, design and implant‐abutment connections, of which 45.2% (301 implants) rehabilitated with single crowns, declared an overall implant survival of 97.3% for 116 short implants placed in NPP and of 93.1% for 156 placed in PP; the latter seemed to present a greater, even if not statistically significant, risk of implant failure after 3 years, when compared with implants placed in NPP. The present study, which, to the best of our knowledge, is the first study concerning short and ultra‐short implants supporting single crowns in PP, 333 implants, characterized by a plateau‐design and a locking‐taper implant‐abutment connection, showed an implant survival of 96.1% after 5 years of loading. These results are consistent with the study of Hasanoglu et al.,\n21\n a retrospective evaluation with an average follow‐up of 33.5 months, which reported an overall implant survival of 95.86%, for 460 short implants (4‐to‐9 mm in length) of different brands.\nAfter splitting the sample of placed implants in NPP and PP‐groups (36.04% and 63.96% respectively), significantly different implant survival were not found (96.67% and 95.77% for NPP and PP, p = 0.77). Although some authors in the literature recommend not to use short implants to support single crowns, due to the possible risk of overloading for high CIR,\n7\n, \n43\n, \n44\n in the present study, not only short implants, but also ultra‐short implants, offered a favorable implant survival after 5 years; moreover, outcomes were not different among implant length‐groups and PP/NPP‐groups. These results are consistent with those found in a previous 3‐year retrospective study of the same authors,\n22\n where, with the same type of implant utilized, a survival rate of 98.08% for 208 implants placed in 77 PP and of 96.61% for 118 implants placed in 63 NPP was assessed.\nThe favorable bone levels stability showed in this study by both short and ultra‐short implants may be explained by the specific macro‐design of these implants, characterized by the presence of a screw‐less, 3° locking‐taper implant‐abutment connection. This connection confers an impervious seal to microbial penetration or infiltration,\n45\n and a greater mechanical stability to the implant‐crown assembly, with absence of micro movements and micro gaps at the implant‐abutment interface, which lead to minimal bone resorption.\n6\n, \n7\n The plateau‐design allows from an initial woven bone formation at the healing chambers and further bone morphologic evolution toward a haversian‐like configuration that over time increases significantly in mechanical properties.\n22\n, \n23\n, \n45\n, \n46\n, \n47\n In this way, adjacent bone is hardly loaded at levels that could exceed the minimum effective strain necessary for bone modeling and remodeling.\n48\n, \n49\n Nevertheless, after 5 years of loading, greater values of marginal bone loss and apical shift of F‐BIC were found in PP. Even if these differences can be considered as minimally relevant, ΔCBL was 0.61 and 0.74 mm respectively in NPP and PP, with statistically significant differences between groups (p = 0.04).\nDespite the promising outcomes in term of survival rate and bone levels, in accordance with the general consensus existing in literature,\n50\n indicating that PP are at higher risk for peri‐implantitis and marginal bone loss compared to NPP, the present study showed an overall negative influence of history of periodontitis on implant survival and success. Peri‐implantitis revealed to be the cause of failure in six out of nine cases (66.7%) of failed implants in PP, but in none of failed implants in NPP, which were lost for other causes (error of placement, retrograde peri‐implantitis,\n13\n mechanical fracture of the abutment's component). Authors consider this outcome as clinically relevant, underlying that history of periodontitis seems to be connected to peri‐implantitis in terms of cause of failure. This finding is also consistent with the report of Hasanoglu,\n21\n who found peri‐implantitis as the greater cause of failure in implants placed in PP, but not in NPP. In regard with retrograde peri‐implantitis, it is reported as a periapical radiographic lesion different from peri‐implant infection at sites with deepened PPD, and directly correlated, in most of cases, with existing periapical endodontic lesions at adjacent teeth.\n13\n\n\nWith the threshold limit for defining peri‐implantitis set at 1 mm of bone resorption 5 years after loading, among 320 survived implants, 19 (5.94%) presented peri‐implantitis, 3 (2.59%) and 16 (7.84%) in NPP and PP respectively: this difference between the two groups, even if not statistically significant (p = 0.08), shows to be relevant from a clinical point of view. At this proposal, as the chosen 1‐mm limit for bone loss may appear very stringent, authors underline that 2‐mm limit, currently used in the literature as a 5‐year follow‐up threshold\n51\n cannot be considered acceptable for the definition of a potentially dangerous condition as peri‐implantitis around implants that are only 5 or 6 mm long.\n10\n, \n11\n\n\nOur findings agree with other studies on standard implants with the same follow‐up in PP.\n51\n, \n52\n, \n53\n, \n54\n, \n55\n Martens et al.,\n52\n in a case series with 57‐months of follow‐up on 163 implants in 33 periodontally compromised patients, found a survival rate of 96.3% and a percentage of peri‐implantitis of 6%. Aguirre‐Zorzano et al.,\n53\n in a cross‐sectional study with 786 implants in 239 patients all with history of periodontitis, found a percentage of peri‐implantitis of 9.8%. Canullo et al.,\n54\n in a cross‐sectional study with 1507 implants in 534 patients including also subjects with history of periodontitis, found a percentage of peri‐implantitis of 7.3%, with a higher percentage of healthy periodontal subjects in the group not affected by peri‐implantitis. Konstantinidis et al.,\n55\n in a cross‐sectional study with a mean follow‐up of 5.5 years on 597 implants in 186 patients, including also subjects with history of periodontitis, found a percentage of peri‐implantitis of 6.2%. Dalago et al.,\n51\n in a cross‐sectional study with 916 implants in 183 patients, found a percentage of peri‐implantitis of 7.3%; this study considered factors related to patient's conditions, implant's characteristics and clinical parameters, finally assessing history of periodontitis and total rehabilitations as risk indicators for peri‐implantitis.\nFinally, insurgence of mucositis is strictly related to inadequate plaque control,\n56\n, \n57\n typical of a reversible inflammation which can lead to a non‐reversible disease: in the present study all patients showed a positive compliance to the maintenance program, following a specific protocol of professional oral hygiene recalls, and, according to the literature,\n58\n, \n59\n low inflammatory indexes were registered both in PP and NPP after 60 months of follow‐up, as reported by other studies on short and ultra‐short locking‐taper implants.\n26\n, \n29\n The design and type of the implant supported prosthesis can influence the cleanability of the implant site\n8\n, \n22\n, \n23\n, \n60\n: single‐crown rehabilitation used in the study represent a gold standard in facilitating plaque removal.\n26\n, \n28\n, \n61\nOn the other hand, as reported in another study on the same sample of patients,\n23\n percentages of success, even if not statically different between groups, were respectively lower in 5.0 and 6.00 mm‐length implants (93.10% and 92.73%) compared to 8.0 mm‐length implants (95.93%).\nTo the best of our knowledge, the evidence regarding the possible association between the width of keratinized mucosa and the success of ultra‐short implants is scarce in literature and still inconclusive. However, it is well known that a good level of oral hygiene is also related to an adequate width of keratinized tissue.\n62\n At the same time, the presence of an appropriate width and thickness of KT may facilitate soft tissues flap management during surgical procedures and also represent a favorable feature for clinical improvement after peri‐implantitis treatments.\n63\n It does not therefore seem inappropriate to suggest that ultra‐short implants require continuous monitoring of patient's compliance and extra attention during supportive therapy, particularly in case of implants placed in mandibular sites, which do not easily allow surgical procedures for soft tissues augmentation.\n64\n Comparing the outcomes of this study with the previous similar studies on locking‐taper implants done at 3‐year follow‐up, some issues remain critical. Main limitations\n23\n related to its retrospective nature, even if reduced, still consist in a non‐balanced distribution among implant length‐groups, PP/NPP‐groups and arch‐groups, besides the University setting (single‐centre). However, a proper evaluation of clinical and radiographic conditions at a longer‐term follow‐up (5 years), as well as limiting the present analysis to single crown restorations, suggests predictability of treatments using short and ultra‐short locking‐taper implants even in presence of history of periodontitis.", "Outcomes of the present study revealed that history of periodontitis represents a crucial factor for the success of short and ultra‐short implants, which need to be strictly monitored.\nThese 5‐year results showed that short and ultra‐short locking‐taper implants supporting single‐crown restorations may represent a successful treatment for the rehabilitation of the atrophic posterior jaws both in PP and NPP, provided that patients are enrolled in a specific supportive protocol, carrying out adequate home care procedures and compliance with recall appointments. Regular attendance to a maintenance program may play an important role in determining stable results over time and in preventing peri‐implant diseases, avoiding the worsening of mucositis in potential peri‐implantitis. Further investigations with longer follow‐up and prospective design are of course necessary to validate these conclusions.", "Giorgio Lombardo: Concept and design, critical revision and approval of article. Annarita Signoriello: Data collection and analysis, planning of statistics, drafting article. Alessia Pardo, Xiomara Zilena Serpa Romero, Luisa Arévalo Tovar: Data collection and analysis. Luis Armando Vila Sierra, Pier Francesco Nocini: Critical revision and approval of article. Mauro Marincola: Concept and design, critical revision and approval of article", "All authors declare no conflicts of interests." ]
[ null, "materials-and-methods", null, "results", "discussion", "conclusions", null, "COI-statement" ]
[ "mucositis", "peri‐implantitis", "periodontitis", "short", "single crown", "ultra‐short" ]
INTRODUCTION: The use of dental implants in supporting prosthetic rehabilitations for partially or totally edentulous patients showed a significant increase over the last decades. Several longitudinal studies 1 reported implant survival percentages ranging from 92.8% to 97.1% over a period up to 10 years, demonstrating that dental implants constitute a valid treatment option for the replacement of missing teeth. At this proposal, favorable results were recently provided for the use of short implants (6 mm‐length) as an effective therapy in the rehabilitation of upper maxillary and mandibular jaw atrophies. 2 , 3 Even if available 5‐year studies 4 support the use of these implants as a predictable method only if splinted with other implants, other current investigations propose the possibility of their use as single crown implants, 5 , 6 , 7 which may be suggested as a gold standard in terms of oral hygiene procedures. 8 Moreover, even if dental implants seem to demonstrate high percentages of survival and stable marginal bone levels at a long‐term follow‐up, insurgence of peri‐implant diseases still represents a critical issue. 9 Clinical signs of peri‐implant inflammation around soft tissues (bleeding on probing, erythema, swelling, and/or suppuration), without loss of supporting bone, typically regard the onset of peri‐mucositis. 10 , 11 Once this condition turns to a non‐reversible infection, in which periodontal bacteria are involved in massively reducing marginal bone levels, peri‐implantitis can be observed. Peri‐implantitis implies a non‐linear progressive bone destruction, with a faster progression rate compared to periodontitis, 12 , 13 due to specific microorganisms present at the implant site, host defense and absence of periodontal ligament. 9 , 14 It is thus essential to establish codified protocols to prevent or efficiently manage the development of peri‐implant diseases, 15 as peri‐implant inflammation is directly connected with the presence of plaque deposits. 9 , 10 , 11 At this regard, history of periodontitis is considered a preponderant risk factor, among others, in determining the possible development of severe peri‐implant complications. 16 Several reviews and metanalysis 17 , 18 , 19 reveal that patients with a history of periodontitis, over a long term, show higher values of probing pocket depth, greater bone loss and higher prevalence of peri‐implantitis compared to periodontally healthy patients. The evidence concerning clinical and radiographic outcomes of short and ultra‐short implants placed in patients with treated periodontitis is still scarce and lacking long‐term homogeneous follow‐ups. 20 , 21 , 22 , 23 Furthermore, it is currently highly debated the use of these implants supporting single crowns specifically in this type of patients. 22 Sites with deep pocketing and gingival bleeding typical of periodontitis, once properly treated to achieve a successful resolution of the inflammation, remain however characterized by an unavoidable bone loss, 24 for which reduced‐length implants often represent the main option to re‐establish a functional fixed rehabilitation. Despite the advantages offered by this solution, strict maintenance protocols need to be established in periodontal patients rehabilitated with implants, to avoid an additional extensive marginal bone loss, 25 that could be definitively harmful in case of a short or ultra‐short implant. Based on the limits of the already published 3‐year investigations, 8 , 22 authors here hypothesized that longer‐term assessment is required for a proper clinical evaluation of effective conditions of locking‐taper implants rehabilitated with single crowns, especially if placed in patients with history of periodontitis. The aim of this 5‐year retrospective study, which adds complementary results to another investigation on the same sample of patients, 23 was to assess implant survival, marginal bone loss and implant success of 333 short and ultra‐short implants restored with single crowns in the maxillary and mandibular edentulous posterior regions, respectively, placed in patients with history of periodontitis (PP), and patients without history of periodontitis (NPP). As previously described, 23 a rigorous value of 1 mm was set as threshold for radiographically detectable marginal bone loss, measured during the time interval from loading to 5‐year follow‐up, and compatible with implant success and absence of signs of peri‐implantitis. MATERIALS AND METHODS: A retrospective study with a 5‐year follow‐up was conducted in 2020 on patients who had been referred between February 2007 and June 2015, for edentulism (tooth loss caused by trauma, caries or periodontitis) in the posterior areas of maxilla and mandible at the Dental and Maxillo‐Facial Surgery Clinic at the University of Verona (Italy). The study was approved by the University Institutional Review Board (Prot. 34 939, CROWNMAXMAND, 30/05/18). The nature and aim of the study, together with the anonymity in the scientific use of data, were clearly presented in a written informed consent form, and signed by every patient. All procedures accorded with Helsinki Declaration and good clinical practice guidelines for research on human beings. 23 Patients enrolled for the study, which presented the same sample of the recently published 5‐year follow‐up retrospective study, 23 matched the following inclusion criteria 8 , 22 , 23 : aged between 18 and 90 years; having had single‐tooth replacement of at least one 8.0, 6.0, or 5.0 mm locking‐taper implant supporting a single crown; had reduced alveolar bone height and had no previous consent for bone augmentation procedures; had a history of treated periodontitis, or were never affected by any form of periodontitis; and who were compliant with a regular maintenance program (professional oral hygiene sessions every 4 months). Patients with a history of treated periodontitis were characterized by previously assessed forms of periodontitis, corresponding to stage I, II or III, and grade A or B, according to the latest updates on classification of periodontal and peri‐implant diseases. 10 , 11 , 23 , 24 These patients were subjects following a regular maintenance program on a reduced periodontium every 3 months to ensure gingival health at the time of implant placement. On the other hand, periodontally healthy patients were subjects never affected by any form of periodontitis. 22 , 23 Exclusion criteria for the study were 8 , 22 , 23 : presence of active infection at an implant site; ASA status III, IV,V, and VI (according to the American Society of Anesthesiologists' classification), that is, severe systemic diseases or substantive functional limitations which contraindicated implant surgery (such as drug or alcohol abuse, uncontrolled diabetes mellitus, immunosuppression or immunodepression, severe autoimmune diseases, treatment or past treatment with intravenous amino‐bisphosphonates for metastatic bone diseases, radiotherapy to head or neck within 2 years prior to treatment, history of malignancy or chemotherapy within the previous year, treatment with oral amino‐bisphosphonates for more than 3 years, morbid obesity, active hepatitis, severe renal disease, severe cardiovascular conditions, recent history of myocardial infarction (MI) or transient ischemic attack (TIA)); untreated periodontitis; poor oral hygiene and motivation; current pregnancy or lactation; heavy smoking (more than 25 cigarettes per day); severe clenching or bruxism. All surgical treatments were conducted by a single clinician, as previously described 8 , 22 , 23 [see Appendix]. Clinical and radiographic examinations 8 , 22 , 23 were performed during the follow‐up 5 years from loading time, one time per year at regular intervals. The post‐surgery evaluations and the follow‐up evaluations [see Appendix] were performed by two other operators both of whom were different from the clinician who performed the surgical phase. Implant lengths considered in the study were 8.0, 6.0, and 5.0 mm; implant diameters were 3, 3.5, 4.0, 4.5, 5.0, 6.0 and 6.5 mm. Covariates included were: sex, age, smoking history, history of periodontitis, 10 , 11 , 24 ASA status, number of oral hygiene sessions per year, use of interproximal oral hygiene devices, arch involved, tooth site, prosthetic material, crown‐to‐implant ratio (CIR). 8 , 22 , 23 A descriptive analysis was conducted between loading time and the 5‐year follow‐up time, according to covariates. This included assessment of crestal bone level (CBL, average bone level around implants at mesial and distal sides, expressed in mm), first bone‐to‐implant contact (F‐BIC, in mm) 8 , 22 , 23 , 26 with their variations ΔCBL (average bone loss) and ΔF‐BIC (average apical shift of the “first bone‐to‐implant contact point” position) [see Appendix]. Peri‐implant soft tissues were assessed using a periodontal probe (Florida Probe; Florida Probes Company) and applying a force of mild intensity (0.25 N). For each implant site, four parameters were assessed. The Modified Bleeding Index (mBI), and the Modified Plaque Index (mPLI), as reported in the literature by Mombelli, 27 were used to record the appropriate values for the mesial, central, and distal on the buccal and lingual/palatal sides of each implant. Similarly, the peri‐implant probing depths (PPD) were performed on the same six sites. The amount of keratinized tissue (KT) was assessed by measuring the distance between the zenith of the buccal gingival margin and the mucogingival line. 23 Biological complications after loading were also assessed at the 5‐year recall appointment. According to the latest updates, 10 , 11 peri‐implant mucositis was defined as at least one soft‐tissue peri‐implant surface with positive BOP or pus on probing, PPD ≥4 mm, and no radiographically detectable bone loss. It should be noted that visual signs of inflammation can vary and that peri‐implant mucositis can exist around implants with variable levels of bone support. 23 We diagnosed peri‐implantitis when an implant had simultaneously one surface with positive BOP or pus on probing, increasing PPD compared to previous examinations or PPD ≥5 mm in the absence of the previous examination data, and presence of radiographically detectable bone loss greater than 1 mm when compared with the loading measurements. As opposed to earlier 3‐year studies on locking‐taper implants, 8 , 22 the threshold for bone loss at a longer follow‐up of 5 years was set at 1 mm. This was done in recognition of the fact that in the present study implant length was highly reduced compared to other longer implant types, for which a threshold of 2 mm can be considered acceptable. 10 , 11 , 13 In case of 6.0 mm and 5.0 mm‐length implants, a marginal bone loss of 2 mm, representing slightly less than half of the entire implant length, appears to be underestimated after 5 years of follow‐up. 23 Study outcomes were implant survival, marginal bone loss and implant success after 5 years of follow‐up, which were assessed according to covariates. 23 In regard with implant survival, failure was considered as the need for implant removal either before loading (due to absence of osseointegration), or after loading (due to excessive bone loss). Implant survival was considered as the implant's state of being in function at the five‐year follow‐up evaluation, eg., symptom‐free, without mobility, radiolucency, or bone loss so severe as to warrant implant removal. 22 , 23 , 28 , 29 Among survived implants, implant success was defined according to the following criteria 30 , 31 and to the defined bone loss threshold: absence of persistent pain, dysesthesia, or paraesthesia in the implant area; absence of peri‐implant infection with or without suppuration; absence of perceptible mobility of the implant; and finally, absence of persistent peri‐implant bone resorption greater than 1 mm during the time interval from loading to 5‐year follow‐up. Therefore, once the failed implants are excluded, implant success can be considered for survived implants without signs of peri‐implantitis 23 ; on the other side, survived implants with signs of peri‐implantitis are not defined as successful. By way of illustration, Figures 1 and 2 report some radiographic cases. Single implant placed in 4.6 site (5 × 6 mm) in a patient without history of periodontal disease: (A) Pre‐operative radiograph before implant placement; (B) Radiograph obtained at time of placement; (C) Radiograph obtained at time of loading; (D) Radiograph obtained at 5‐year follow‐up Single implants placed in 2.5 and 2.6 sites (4 × 8 mm and 4.5 × 6 mm) in a patient with history of periodontal disease: (A) Pre‐operative radiograph before implant placement; (B) Radiograph obtained at time of placement; (C) Radiograph obtained at time of loading; (D) Radiograph obtained at 5‐year follow‐up Appendix of Materials and Methods The locking‐taper (Morse taper or Morse cone) dental implant system (Bicon Dental Implants, Bicon LLC) used in this study is characterized by a convergent crest module, platform switching, plateau root‐form design, and an Integra CP surface (hydroxyapatite treated and acid‐etched). 8 , 22 , 23 A complete clinical and radiographic evaluation (dental and periodontal status; panoramic and periapical radiograph, cone beam computed tomography) and basic periodontal treatment was performed before implant placement. A pre‐operative medication consisting of 2 g of Augmentin (875 mg amoxicillin plus 125 mg clavulanic acid), or 1 g of Klacid (Clarithromycin 500 mg) if allergic to penicillin, was given 1 h before surgery. All surgical procedures were performed under local anesthesia, using only Articain 4% with adrenaline 1:100 000 (Citocartin) or Articain 4% with adrenaline 1:100 000 (Citocartin) associated with oral sedation (Halcion 0.25 mg). 8 , 22 , 23 A full‐thickness flap was performed, and a high‐speed 2.0 mm‐diameter pilot drill (with a cutting edge at the apical portion and drilling at 1100 rpm) with external saline irrigation was used to perforate the cortical plate. Final pilot drilling length was determined by measuring residual bone height and adding at least 1.0 mm to the selected implant length to allow for a sub‐crestal implant placement. Latch reamers presenting a 0.5 mm progressive increase in diameter were used at 50 rpm, without external irrigation to widen the osteotomy until the final implant diameter was reached. The selected implant was manually inserted into the osteotomy, a healing plug was placed in the implant well, and autogenous bone collected during the slow speed preparation of the osteotomy was used to fill the gap between the implant and the bony walls. The incisions were closed by single polyglycolic acid sutures (Vycril, ACE Surgical Supply Co.). A post‐operative periapical radiograph was taken, post‐operative instructions were given as well as antibiotic and analgesic prescriptions. 8 , 22 , 23 After 4‐to‐6 months the implants were surgically uncovered, healing abutments were placed, and the mucosal flaps readapted around them. After three weeks of soft tissue healing, impressions were taken using a polyether material (3 M ESPE Impregum Impression Material). Definitive single‐crown porcelain or composite restorations were placed within 2 weeks. The choice for restorative materials (porcelain or composite) was based on patients' preference, which was guided by personal economic resources in most of the cases. The technique used for the composite restorations was the Integrated Abutment Crown (IAC), in which crowns are conventionally fabricated but also extra‐orally cemented to the abutment, excess cement is removed and then the one‐piece abutment and crown are inserted. 28 More precisely, the IAC is a cementless restoration for single‐tooth implants, where the crown is extra‐orally chemo‐mechanically bonded to the coronal part of a titanium alloy non‐shouldered or shouldered locking‐taper abutment, reduced using carbide burs to provide for smooth surface contours and subgingival margins: in this way, the implant abutment and the crown material constitute one unit. The crown is inserted into place by mean a gentle tapping using a 250‐g mallet, by mean a crown seating tip supplied by the manufacturer and a custom‐made acrylic tapping jig to ensure accurate proper seating. When composite material was preferred for the crown, a micro‐hybrid composite containing 73% by weight micro‐fine ceramic particles, embedded in an organic polymer matrix (Ceramage, Shofu Inc), was used. In case of choice of ceramic material, a bilayer crown was planned using a zirconia framework veneered with feldspar ceramic (Ceramica Natural ZiR, Tressis Italia srl). 23 Recall appointments were established to manage prosthetic complications as needed, and a maintenance program was designed to provide patients a professional oral hygiene session every 4 months. 23 Peri‐implant bone levels were measured through digitally scanned intraoral radiographs, performed with a paralleling technique, using Rinn centering devices (Rinn XCP Posterior Aiming Ring‐Yellow, Dentsply). This was done immediately after implant placement, at healing abutment placement, at prosthetic loading, and after 5 years of loading. Measurements were taken as previously described. 8 , 22 , 23 The implant‐abutment interface (IAI) was taken as a reference for measurements. CBL was measured on mesial and distal sides as the linear distance between the IAI and the highest point of the interproximal bone crest parallel to the lateral sides of the implant body: a positive value was given when the crest was located coronally to the IAI and a negative value when the crest was located apically to the IAI; for every implant, at each examination interval, an average mesial‐distal value was calculated. F‐BIC was defined as the first most coronal bone‐to‐implant relationship visible at the first line of contact, on both mesial and distal sides; if F‐BIC matches with IAI, the measurement was 0; if it is located apically, the measurement was a positive value. 8 , 22 , 23 As described in the literature, implants were divided into two groups on the basis of presenting a CIR less than or greater than two. The crown height was measured on the radiograph immediately after the prosthetic loading, from the most occlusal point to the IAI. Anatomical crown‐to‐implant ratio (in which the fulcrum is positioned at the interface between the implant shoulder and the crown‐abutment complex) was calculated by dividing the digital length of the crown by the digital length of the implant. 8 , 22 , 23 Measurements were assessed with the aid of a software program (Rasband, W.S., ImageJ, U. S. National Institutes of Health, Bethesda, Maryland, USA) which uses a measuring tool in conjunction with a magnification tool. To correct the distortion of the radiographic image, the apparent size of each implant (measured directly on the radiograph) was compared with the actual length to determine, with adequate accuracy and precision, the amount of any changes of the crestal bone around each implant. Setting up the implant length as a known initial reference, the measurements were made to the nearest 0.01 mm. One dentist who was not involved in the treatment of the patients completed all the measurements on periapical radiographs; the observation intervals of radiographs were masked to the examiner. Before the start of the study, this investigator was calibrated for adequate intra‐ and inter‐examiner levels of reproducibility in recording the radiographic parameters. 8 , 22 , 23 The calibration for intra‐examiner reproducibility was done with double recording of 25 measurements (25 implants), with an interval of 24 hours between the first and second recording. Three basic parameters, directly connected to CBL, F‐BIC and CIR, were measured on three radiographs, utilized for this purpose: mesial CBL, mesial F‐BIC and crown height, all at prosthetic loading. An average value lower than 0.20 mm was considered reliable as threshold limit from a clinically point of view. According to Bland–Altman Method, 32 3 plots were obtained, with respective average values of difference between each pair of measurements, together with confidence intervals (C.I.) of: 0.01 mm (95% C.I.[−0.06;0.09]) for mesial CBL at loading, 0.00 mm (95% C.I.[−0.04;0.04])for mesial F‐BIC at loading, and − 0.01 mm (95% C.I.[−0.12;0.11]) for crown height. Furthermore, the abovementioned exercise, according to the same method, was repeated by another dentist (always not involved in the treatments of patients) for inter‐examiner reproducibility. The following respective average values of difference between each pair of measurements, together with C.I., were obtained: 0.00 mm (95% C.I.[−0.05;0.06]) for mesial CBL at loading, 0.00 mm (95% C.I.[−0.05;0.06]) for mesial F‐BIC at loading, and 0.01 mm (95% C.I.[−0.04;0.06]) for crown height. For data collection, a database including all patients evaluated in the study was created with Microsoft Excel. All data analysis was carried out using Stata v.13.0 for Macintosh (StataCorp). The normality assumptions for continuous data were assessed by using the Shapiro–Wilk test; mean and standard deviation were reported for normally distributed data, median and interquartile range (iqr) otherwise. For categorical data, absolute frequencies, percentages and 95% confidence intervals were reported. The association between categorical variables was tested with χ 2 test; if any of the expected values was less than 5, a Fisher's exact test was performed. The comparison between the means of continuous variables in two different times was performed by using paired Student's “t” test or Wilcoxon matched‐pairs signed‐rank test. The comparison between the means of two different groups was performed using unpaired Student's “t”, or Wilcoxon rank‐sum test. The comparison of the means among more than two groups was done using one‐way analysis of variance (ANOVA), or Kruskal‐Wallis equality‐of‐populations rank test. A multivariate analysis (logistic regression) was carried out to find factors associated with implant success. Significance level was set at 0.05. 8 , 22 , 23 The study presents compliance with the STROBE checklist guidelines. 33 The locking‐taper (Morse taper or Morse cone) dental implant system (Bicon Dental Implants, Bicon LLC) used in this study is characterized by a convergent crest module, platform switching, plateau root‐form design, and an Integra CP surface (hydroxyapatite treated and acid‐etched). 8 , 22 , 23 A complete clinical and radiographic evaluation (dental and periodontal status; panoramic and periapical radiograph, cone beam computed tomography) and basic periodontal treatment was performed before implant placement. A pre‐operative medication consisting of 2 g of Augmentin (875 mg amoxicillin plus 125 mg clavulanic acid), or 1 g of Klacid (Clarithromycin 500 mg) if allergic to penicillin, was given 1 h before surgery. All surgical procedures were performed under local anesthesia, using only Articain 4% with adrenaline 1:100 000 (Citocartin) or Articain 4% with adrenaline 1:100 000 (Citocartin) associated with oral sedation (Halcion 0.25 mg). 8 , 22 , 23 A full‐thickness flap was performed, and a high‐speed 2.0 mm‐diameter pilot drill (with a cutting edge at the apical portion and drilling at 1100 rpm) with external saline irrigation was used to perforate the cortical plate. Final pilot drilling length was determined by measuring residual bone height and adding at least 1.0 mm to the selected implant length to allow for a sub‐crestal implant placement. Latch reamers presenting a 0.5 mm progressive increase in diameter were used at 50 rpm, without external irrigation to widen the osteotomy until the final implant diameter was reached. The selected implant was manually inserted into the osteotomy, a healing plug was placed in the implant well, and autogenous bone collected during the slow speed preparation of the osteotomy was used to fill the gap between the implant and the bony walls. The incisions were closed by single polyglycolic acid sutures (Vycril, ACE Surgical Supply Co.). A post‐operative periapical radiograph was taken, post‐operative instructions were given as well as antibiotic and analgesic prescriptions. 8 , 22 , 23 After 4‐to‐6 months the implants were surgically uncovered, healing abutments were placed, and the mucosal flaps readapted around them. After three weeks of soft tissue healing, impressions were taken using a polyether material (3 M ESPE Impregum Impression Material). Definitive single‐crown porcelain or composite restorations were placed within 2 weeks. The choice for restorative materials (porcelain or composite) was based on patients' preference, which was guided by personal economic resources in most of the cases. The technique used for the composite restorations was the Integrated Abutment Crown (IAC), in which crowns are conventionally fabricated but also extra‐orally cemented to the abutment, excess cement is removed and then the one‐piece abutment and crown are inserted. 28 More precisely, the IAC is a cementless restoration for single‐tooth implants, where the crown is extra‐orally chemo‐mechanically bonded to the coronal part of a titanium alloy non‐shouldered or shouldered locking‐taper abutment, reduced using carbide burs to provide for smooth surface contours and subgingival margins: in this way, the implant abutment and the crown material constitute one unit. The crown is inserted into place by mean a gentle tapping using a 250‐g mallet, by mean a crown seating tip supplied by the manufacturer and a custom‐made acrylic tapping jig to ensure accurate proper seating. When composite material was preferred for the crown, a micro‐hybrid composite containing 73% by weight micro‐fine ceramic particles, embedded in an organic polymer matrix (Ceramage, Shofu Inc), was used. In case of choice of ceramic material, a bilayer crown was planned using a zirconia framework veneered with feldspar ceramic (Ceramica Natural ZiR, Tressis Italia srl). 23 Recall appointments were established to manage prosthetic complications as needed, and a maintenance program was designed to provide patients a professional oral hygiene session every 4 months. 23 Peri‐implant bone levels were measured through digitally scanned intraoral radiographs, performed with a paralleling technique, using Rinn centering devices (Rinn XCP Posterior Aiming Ring‐Yellow, Dentsply). This was done immediately after implant placement, at healing abutment placement, at prosthetic loading, and after 5 years of loading. Measurements were taken as previously described. 8 , 22 , 23 The implant‐abutment interface (IAI) was taken as a reference for measurements. CBL was measured on mesial and distal sides as the linear distance between the IAI and the highest point of the interproximal bone crest parallel to the lateral sides of the implant body: a positive value was given when the crest was located coronally to the IAI and a negative value when the crest was located apically to the IAI; for every implant, at each examination interval, an average mesial‐distal value was calculated. F‐BIC was defined as the first most coronal bone‐to‐implant relationship visible at the first line of contact, on both mesial and distal sides; if F‐BIC matches with IAI, the measurement was 0; if it is located apically, the measurement was a positive value. 8 , 22 , 23 As described in the literature, implants were divided into two groups on the basis of presenting a CIR less than or greater than two. The crown height was measured on the radiograph immediately after the prosthetic loading, from the most occlusal point to the IAI. Anatomical crown‐to‐implant ratio (in which the fulcrum is positioned at the interface between the implant shoulder and the crown‐abutment complex) was calculated by dividing the digital length of the crown by the digital length of the implant. 8 , 22 , 23 Measurements were assessed with the aid of a software program (Rasband, W.S., ImageJ, U. S. National Institutes of Health, Bethesda, Maryland, USA) which uses a measuring tool in conjunction with a magnification tool. To correct the distortion of the radiographic image, the apparent size of each implant (measured directly on the radiograph) was compared with the actual length to determine, with adequate accuracy and precision, the amount of any changes of the crestal bone around each implant. Setting up the implant length as a known initial reference, the measurements were made to the nearest 0.01 mm. One dentist who was not involved in the treatment of the patients completed all the measurements on periapical radiographs; the observation intervals of radiographs were masked to the examiner. Before the start of the study, this investigator was calibrated for adequate intra‐ and inter‐examiner levels of reproducibility in recording the radiographic parameters. 8 , 22 , 23 The calibration for intra‐examiner reproducibility was done with double recording of 25 measurements (25 implants), with an interval of 24 hours between the first and second recording. Three basic parameters, directly connected to CBL, F‐BIC and CIR, were measured on three radiographs, utilized for this purpose: mesial CBL, mesial F‐BIC and crown height, all at prosthetic loading. An average value lower than 0.20 mm was considered reliable as threshold limit from a clinically point of view. According to Bland–Altman Method, 32 3 plots were obtained, with respective average values of difference between each pair of measurements, together with confidence intervals (C.I.) of: 0.01 mm (95% C.I.[−0.06;0.09]) for mesial CBL at loading, 0.00 mm (95% C.I.[−0.04;0.04])for mesial F‐BIC at loading, and − 0.01 mm (95% C.I.[−0.12;0.11]) for crown height. Furthermore, the abovementioned exercise, according to the same method, was repeated by another dentist (always not involved in the treatments of patients) for inter‐examiner reproducibility. The following respective average values of difference between each pair of measurements, together with C.I., were obtained: 0.00 mm (95% C.I.[−0.05;0.06]) for mesial CBL at loading, 0.00 mm (95% C.I.[−0.05;0.06]) for mesial F‐BIC at loading, and 0.01 mm (95% C.I.[−0.04;0.06]) for crown height. For data collection, a database including all patients evaluated in the study was created with Microsoft Excel. All data analysis was carried out using Stata v.13.0 for Macintosh (StataCorp). The normality assumptions for continuous data were assessed by using the Shapiro–Wilk test; mean and standard deviation were reported for normally distributed data, median and interquartile range (iqr) otherwise. For categorical data, absolute frequencies, percentages and 95% confidence intervals were reported. The association between categorical variables was tested with χ 2 test; if any of the expected values was less than 5, a Fisher's exact test was performed. The comparison between the means of continuous variables in two different times was performed by using paired Student's “t” test or Wilcoxon matched‐pairs signed‐rank test. The comparison between the means of two different groups was performed using unpaired Student's “t”, or Wilcoxon rank‐sum test. The comparison of the means among more than two groups was done using one‐way analysis of variance (ANOVA), or Kruskal‐Wallis equality‐of‐populations rank test. A multivariate analysis (logistic regression) was carried out to find factors associated with implant success. Significance level was set at 0.05. 8 , 22 , 23 The study presents compliance with the STROBE checklist guidelines. 33 Appendix of Materials and Methods: The locking‐taper (Morse taper or Morse cone) dental implant system (Bicon Dental Implants, Bicon LLC) used in this study is characterized by a convergent crest module, platform switching, plateau root‐form design, and an Integra CP surface (hydroxyapatite treated and acid‐etched). 8 , 22 , 23 A complete clinical and radiographic evaluation (dental and periodontal status; panoramic and periapical radiograph, cone beam computed tomography) and basic periodontal treatment was performed before implant placement. A pre‐operative medication consisting of 2 g of Augmentin (875 mg amoxicillin plus 125 mg clavulanic acid), or 1 g of Klacid (Clarithromycin 500 mg) if allergic to penicillin, was given 1 h before surgery. All surgical procedures were performed under local anesthesia, using only Articain 4% with adrenaline 1:100 000 (Citocartin) or Articain 4% with adrenaline 1:100 000 (Citocartin) associated with oral sedation (Halcion 0.25 mg). 8 , 22 , 23 A full‐thickness flap was performed, and a high‐speed 2.0 mm‐diameter pilot drill (with a cutting edge at the apical portion and drilling at 1100 rpm) with external saline irrigation was used to perforate the cortical plate. Final pilot drilling length was determined by measuring residual bone height and adding at least 1.0 mm to the selected implant length to allow for a sub‐crestal implant placement. Latch reamers presenting a 0.5 mm progressive increase in diameter were used at 50 rpm, without external irrigation to widen the osteotomy until the final implant diameter was reached. The selected implant was manually inserted into the osteotomy, a healing plug was placed in the implant well, and autogenous bone collected during the slow speed preparation of the osteotomy was used to fill the gap between the implant and the bony walls. The incisions were closed by single polyglycolic acid sutures (Vycril, ACE Surgical Supply Co.). A post‐operative periapical radiograph was taken, post‐operative instructions were given as well as antibiotic and analgesic prescriptions. 8 , 22 , 23 After 4‐to‐6 months the implants were surgically uncovered, healing abutments were placed, and the mucosal flaps readapted around them. After three weeks of soft tissue healing, impressions were taken using a polyether material (3 M ESPE Impregum Impression Material). Definitive single‐crown porcelain or composite restorations were placed within 2 weeks. The choice for restorative materials (porcelain or composite) was based on patients' preference, which was guided by personal economic resources in most of the cases. The technique used for the composite restorations was the Integrated Abutment Crown (IAC), in which crowns are conventionally fabricated but also extra‐orally cemented to the abutment, excess cement is removed and then the one‐piece abutment and crown are inserted. 28 More precisely, the IAC is a cementless restoration for single‐tooth implants, where the crown is extra‐orally chemo‐mechanically bonded to the coronal part of a titanium alloy non‐shouldered or shouldered locking‐taper abutment, reduced using carbide burs to provide for smooth surface contours and subgingival margins: in this way, the implant abutment and the crown material constitute one unit. The crown is inserted into place by mean a gentle tapping using a 250‐g mallet, by mean a crown seating tip supplied by the manufacturer and a custom‐made acrylic tapping jig to ensure accurate proper seating. When composite material was preferred for the crown, a micro‐hybrid composite containing 73% by weight micro‐fine ceramic particles, embedded in an organic polymer matrix (Ceramage, Shofu Inc), was used. In case of choice of ceramic material, a bilayer crown was planned using a zirconia framework veneered with feldspar ceramic (Ceramica Natural ZiR, Tressis Italia srl). 23 Recall appointments were established to manage prosthetic complications as needed, and a maintenance program was designed to provide patients a professional oral hygiene session every 4 months. 23 Peri‐implant bone levels were measured through digitally scanned intraoral radiographs, performed with a paralleling technique, using Rinn centering devices (Rinn XCP Posterior Aiming Ring‐Yellow, Dentsply). This was done immediately after implant placement, at healing abutment placement, at prosthetic loading, and after 5 years of loading. Measurements were taken as previously described. 8 , 22 , 23 The implant‐abutment interface (IAI) was taken as a reference for measurements. CBL was measured on mesial and distal sides as the linear distance between the IAI and the highest point of the interproximal bone crest parallel to the lateral sides of the implant body: a positive value was given when the crest was located coronally to the IAI and a negative value when the crest was located apically to the IAI; for every implant, at each examination interval, an average mesial‐distal value was calculated. F‐BIC was defined as the first most coronal bone‐to‐implant relationship visible at the first line of contact, on both mesial and distal sides; if F‐BIC matches with IAI, the measurement was 0; if it is located apically, the measurement was a positive value. 8 , 22 , 23 As described in the literature, implants were divided into two groups on the basis of presenting a CIR less than or greater than two. The crown height was measured on the radiograph immediately after the prosthetic loading, from the most occlusal point to the IAI. Anatomical crown‐to‐implant ratio (in which the fulcrum is positioned at the interface between the implant shoulder and the crown‐abutment complex) was calculated by dividing the digital length of the crown by the digital length of the implant. 8 , 22 , 23 Measurements were assessed with the aid of a software program (Rasband, W.S., ImageJ, U. S. National Institutes of Health, Bethesda, Maryland, USA) which uses a measuring tool in conjunction with a magnification tool. To correct the distortion of the radiographic image, the apparent size of each implant (measured directly on the radiograph) was compared with the actual length to determine, with adequate accuracy and precision, the amount of any changes of the crestal bone around each implant. Setting up the implant length as a known initial reference, the measurements were made to the nearest 0.01 mm. One dentist who was not involved in the treatment of the patients completed all the measurements on periapical radiographs; the observation intervals of radiographs were masked to the examiner. Before the start of the study, this investigator was calibrated for adequate intra‐ and inter‐examiner levels of reproducibility in recording the radiographic parameters. 8 , 22 , 23 The calibration for intra‐examiner reproducibility was done with double recording of 25 measurements (25 implants), with an interval of 24 hours between the first and second recording. Three basic parameters, directly connected to CBL, F‐BIC and CIR, were measured on three radiographs, utilized for this purpose: mesial CBL, mesial F‐BIC and crown height, all at prosthetic loading. An average value lower than 0.20 mm was considered reliable as threshold limit from a clinically point of view. According to Bland–Altman Method, 32 3 plots were obtained, with respective average values of difference between each pair of measurements, together with confidence intervals (C.I.) of: 0.01 mm (95% C.I.[−0.06;0.09]) for mesial CBL at loading, 0.00 mm (95% C.I.[−0.04;0.04])for mesial F‐BIC at loading, and − 0.01 mm (95% C.I.[−0.12;0.11]) for crown height. Furthermore, the abovementioned exercise, according to the same method, was repeated by another dentist (always not involved in the treatments of patients) for inter‐examiner reproducibility. The following respective average values of difference between each pair of measurements, together with C.I., were obtained: 0.00 mm (95% C.I.[−0.05;0.06]) for mesial CBL at loading, 0.00 mm (95% C.I.[−0.05;0.06]) for mesial F‐BIC at loading, and 0.01 mm (95% C.I.[−0.04;0.06]) for crown height. For data collection, a database including all patients evaluated in the study was created with Microsoft Excel. All data analysis was carried out using Stata v.13.0 for Macintosh (StataCorp). The normality assumptions for continuous data were assessed by using the Shapiro–Wilk test; mean and standard deviation were reported for normally distributed data, median and interquartile range (iqr) otherwise. For categorical data, absolute frequencies, percentages and 95% confidence intervals were reported. The association between categorical variables was tested with χ 2 test; if any of the expected values was less than 5, a Fisher's exact test was performed. The comparison between the means of continuous variables in two different times was performed by using paired Student's “t” test or Wilcoxon matched‐pairs signed‐rank test. The comparison between the means of two different groups was performed using unpaired Student's “t”, or Wilcoxon rank‐sum test. The comparison of the means among more than two groups was done using one‐way analysis of variance (ANOVA), or Kruskal‐Wallis equality‐of‐populations rank test. A multivariate analysis (logistic regression) was carried out to find factors associated with implant success. Significance level was set at 0.05. 8 , 22 , 23 The study presents compliance with the STROBE checklist guidelines. 33 RESULTS: Of the 333 implants placed in 142 patients (65 men and 77 women), 213 (63.96%) and 120 (36.04%) were respectively positioned in PP and NPP. 23 Furthermore, CIR in PP and NPP was respectively 2.01 ± 0.87 (range 0.91–3.81) and 1.78 ± 0.79 (range 1.05–3.52), with statistically significant differences among groups (p = 0.002). The implants distribution, analyzed according to PP and NPP, is presented in Table 1. Overall implants and PP/NPP‐groups distribution according to study variables Note: Age at follow‐up and oral professional hygiene/year are presented as mean ± standard deviation and median (iqr); for all other variables, values are presented as n (%). Abbreviations: NS, not statistically significant; d.f., degrees of freedom. As one early failure in one patient was assessed, the overall implant‐based survival at 60‐month follow‐up was 96.1%: 96.67% (116/120) in NPP and 95.77% (204/213) in PP, without significant differences between groups (p = 0.77). 23 Peri‐implantitis revealed to be the cause of failure in six out of nine cases (66.7%) of failed implants in PP, but in none of failed implants in NPP. The distribution of different variables related to failed implants is reported in Table 2. Failures features and cause of failures Abbreviations: ep, error of placement; peri, peri‐implantitis; rp, retrograde peri‐implantitis; fp, fracture of the post of the abutment. ΔCBL was 0.61 (0.87) mm and 0.74 (1.54) mm respectively in NPP and PP, with statistically significant differences between groups (p = 0.04). ΔF‐BIC was 0.01 (0.43) mm and 0.09 (0.79) mm respectively in NPP and PP, with no statistically significant differences between groups (p = 0.08). 23 Table 3 reports soft tissues conditions (PPD, mBI, mPLI and KT) at 5‐year recall appointment, according to length‐groups, arch‐groups or PP/NPP‐groups. Peri‐implantitis was found in 3 (2.59%) and 16 (7.84%) cases in NPP and PP respectively, with no statistically significant differences between groups (p = 0.08). 23 The overall implant‐based success at 60‐month follow‐up was 94.06% (301/320) 23 :92.16% for PP (respectively 36.7% in 8‐mm length, 32.45% in 6‐mm length and 30.85% in 5‐mm length);97.41% for NPP (respectively 43.36% in 8‐mm length, 36.28% in 6‐mm length and 20.36% in 5‐mm length).Regarding prevalence of mucositis, no significant differences (p < 0.05) were found between groups regarding PP/NPP, length or arch‐groups (Table 4). 92.16% for PP (respectively 36.7% in 8‐mm length, 32.45% in 6‐mm length and 30.85% in 5‐mm length); 97.41% for NPP (respectively 43.36% in 8‐mm length, 36.28% in 6‐mm length and 20.36% in 5‐mm length). Overall soft tissues indices (mBI, mPLI, PPD [mm], KT [mm]) according to PP/NPP‐groups, length‐groups and arch‐groups Note: mBI, mPLI, PPD and KT are presented as median (iqr). Abbreviations: NS, not statistically significant; d.f., degrees of freedom. Prevalence of peri‐mucositis according to PP/NPP‐groups, length‐groups and arch‐groups Note: For all variables, values are presented as n (%). Abbreviations: NS, not statistically significant; d.f., degrees of freedom; C.I., confidence interval. DISCUSSION: Over the last decades, implant placement has become a widespread and predictable methodology of treatment for partially edentulous posterior regions. As sufficient bone volume available for standard‐length implant rehabilitation is not always present, the use of short implants (<6‐mm) is frequently chosen among clinicians as a minimally invasive treatment modality, for the reduction of number of major surgeries, potential morbidity, times and costs. 34 , 35 , 36 , 37 Recent metanalysis reported that short implants have almost comparable outcomes, in terms of implant survival, marginal bone loss and peri‐implant complications, to standard‐sized dental implant (>6‐mm) and may be considered a valid alternative therapy to augmentation procedures for maxillary and mandibular jaw atrophies. 2 , 3 , 6 , 38 , 39 Nevertheless, while a large amount of research data on long‐term success of standard and short implants in periodontally healthy patients is currently available, only few short‐term studies (3‐year follow‐up) are present in the literature about the influence of periodontitis on the implant survival of short implants in PP, and they do not allow for definitive conclusions. 20 , 21 , 40 , 41 , 42 Han et al., 40 in a retrospective study in which two or three splinted implants 6 mm‐length and 4 mm‐diameter were placed in each patient, found a one‐year survival rate of 95.8% for 95 short implants; the great majority of participants had chronic periodontitis (77.1%). Correia et al., 41 in a 3‐year retrospective study on 202 patients and 689 implants of different types, design and implant‐abutment connections, of which 45.2% (301 implants) rehabilitated with single crowns, declared an overall implant survival of 97.3% for 116 short implants placed in NPP and of 93.1% for 156 placed in PP; the latter seemed to present a greater, even if not statistically significant, risk of implant failure after 3 years, when compared with implants placed in NPP. The present study, which, to the best of our knowledge, is the first study concerning short and ultra‐short implants supporting single crowns in PP, 333 implants, characterized by a plateau‐design and a locking‐taper implant‐abutment connection, showed an implant survival of 96.1% after 5 years of loading. These results are consistent with the study of Hasanoglu et al., 21 a retrospective evaluation with an average follow‐up of 33.5 months, which reported an overall implant survival of 95.86%, for 460 short implants (4‐to‐9 mm in length) of different brands. After splitting the sample of placed implants in NPP and PP‐groups (36.04% and 63.96% respectively), significantly different implant survival were not found (96.67% and 95.77% for NPP and PP, p = 0.77). Although some authors in the literature recommend not to use short implants to support single crowns, due to the possible risk of overloading for high CIR, 7 , 43 , 44 in the present study, not only short implants, but also ultra‐short implants, offered a favorable implant survival after 5 years; moreover, outcomes were not different among implant length‐groups and PP/NPP‐groups. These results are consistent with those found in a previous 3‐year retrospective study of the same authors, 22 where, with the same type of implant utilized, a survival rate of 98.08% for 208 implants placed in 77 PP and of 96.61% for 118 implants placed in 63 NPP was assessed. The favorable bone levels stability showed in this study by both short and ultra‐short implants may be explained by the specific macro‐design of these implants, characterized by the presence of a screw‐less, 3° locking‐taper implant‐abutment connection. This connection confers an impervious seal to microbial penetration or infiltration, 45 and a greater mechanical stability to the implant‐crown assembly, with absence of micro movements and micro gaps at the implant‐abutment interface, which lead to minimal bone resorption. 6 , 7 The plateau‐design allows from an initial woven bone formation at the healing chambers and further bone morphologic evolution toward a haversian‐like configuration that over time increases significantly in mechanical properties. 22 , 23 , 45 , 46 , 47 In this way, adjacent bone is hardly loaded at levels that could exceed the minimum effective strain necessary for bone modeling and remodeling. 48 , 49 Nevertheless, after 5 years of loading, greater values of marginal bone loss and apical shift of F‐BIC were found in PP. Even if these differences can be considered as minimally relevant, ΔCBL was 0.61 and 0.74 mm respectively in NPP and PP, with statistically significant differences between groups (p = 0.04). Despite the promising outcomes in term of survival rate and bone levels, in accordance with the general consensus existing in literature, 50 indicating that PP are at higher risk for peri‐implantitis and marginal bone loss compared to NPP, the present study showed an overall negative influence of history of periodontitis on implant survival and success. Peri‐implantitis revealed to be the cause of failure in six out of nine cases (66.7%) of failed implants in PP, but in none of failed implants in NPP, which were lost for other causes (error of placement, retrograde peri‐implantitis, 13 mechanical fracture of the abutment's component). Authors consider this outcome as clinically relevant, underlying that history of periodontitis seems to be connected to peri‐implantitis in terms of cause of failure. This finding is also consistent with the report of Hasanoglu, 21 who found peri‐implantitis as the greater cause of failure in implants placed in PP, but not in NPP. In regard with retrograde peri‐implantitis, it is reported as a periapical radiographic lesion different from peri‐implant infection at sites with deepened PPD, and directly correlated, in most of cases, with existing periapical endodontic lesions at adjacent teeth. 13 With the threshold limit for defining peri‐implantitis set at 1 mm of bone resorption 5 years after loading, among 320 survived implants, 19 (5.94%) presented peri‐implantitis, 3 (2.59%) and 16 (7.84%) in NPP and PP respectively: this difference between the two groups, even if not statistically significant (p = 0.08), shows to be relevant from a clinical point of view. At this proposal, as the chosen 1‐mm limit for bone loss may appear very stringent, authors underline that 2‐mm limit, currently used in the literature as a 5‐year follow‐up threshold 51 cannot be considered acceptable for the definition of a potentially dangerous condition as peri‐implantitis around implants that are only 5 or 6 mm long. 10 , 11 Our findings agree with other studies on standard implants with the same follow‐up in PP. 51 , 52 , 53 , 54 , 55 Martens et al., 52 in a case series with 57‐months of follow‐up on 163 implants in 33 periodontally compromised patients, found a survival rate of 96.3% and a percentage of peri‐implantitis of 6%. Aguirre‐Zorzano et al., 53 in a cross‐sectional study with 786 implants in 239 patients all with history of periodontitis, found a percentage of peri‐implantitis of 9.8%. Canullo et al., 54 in a cross‐sectional study with 1507 implants in 534 patients including also subjects with history of periodontitis, found a percentage of peri‐implantitis of 7.3%, with a higher percentage of healthy periodontal subjects in the group not affected by peri‐implantitis. Konstantinidis et al., 55 in a cross‐sectional study with a mean follow‐up of 5.5 years on 597 implants in 186 patients, including also subjects with history of periodontitis, found a percentage of peri‐implantitis of 6.2%. Dalago et al., 51 in a cross‐sectional study with 916 implants in 183 patients, found a percentage of peri‐implantitis of 7.3%; this study considered factors related to patient's conditions, implant's characteristics and clinical parameters, finally assessing history of periodontitis and total rehabilitations as risk indicators for peri‐implantitis. Finally, insurgence of mucositis is strictly related to inadequate plaque control, 56 , 57 typical of a reversible inflammation which can lead to a non‐reversible disease: in the present study all patients showed a positive compliance to the maintenance program, following a specific protocol of professional oral hygiene recalls, and, according to the literature, 58 , 59 low inflammatory indexes were registered both in PP and NPP after 60 months of follow‐up, as reported by other studies on short and ultra‐short locking‐taper implants. 26 , 29 The design and type of the implant supported prosthesis can influence the cleanability of the implant site 8 , 22 , 23 , 60 : single‐crown rehabilitation used in the study represent a gold standard in facilitating plaque removal. 26 , 28 , 61 On the other hand, as reported in another study on the same sample of patients, 23 percentages of success, even if not statically different between groups, were respectively lower in 5.0 and 6.00 mm‐length implants (93.10% and 92.73%) compared to 8.0 mm‐length implants (95.93%). To the best of our knowledge, the evidence regarding the possible association between the width of keratinized mucosa and the success of ultra‐short implants is scarce in literature and still inconclusive. However, it is well known that a good level of oral hygiene is also related to an adequate width of keratinized tissue. 62 At the same time, the presence of an appropriate width and thickness of KT may facilitate soft tissues flap management during surgical procedures and also represent a favorable feature for clinical improvement after peri‐implantitis treatments. 63 It does not therefore seem inappropriate to suggest that ultra‐short implants require continuous monitoring of patient's compliance and extra attention during supportive therapy, particularly in case of implants placed in mandibular sites, which do not easily allow surgical procedures for soft tissues augmentation. 64 Comparing the outcomes of this study with the previous similar studies on locking‐taper implants done at 3‐year follow‐up, some issues remain critical. Main limitations 23 related to its retrospective nature, even if reduced, still consist in a non‐balanced distribution among implant length‐groups, PP/NPP‐groups and arch‐groups, besides the University setting (single‐centre). However, a proper evaluation of clinical and radiographic conditions at a longer‐term follow‐up (5 years), as well as limiting the present analysis to single crown restorations, suggests predictability of treatments using short and ultra‐short locking‐taper implants even in presence of history of periodontitis. CONCLUSIONS: Outcomes of the present study revealed that history of periodontitis represents a crucial factor for the success of short and ultra‐short implants, which need to be strictly monitored. These 5‐year results showed that short and ultra‐short locking‐taper implants supporting single‐crown restorations may represent a successful treatment for the rehabilitation of the atrophic posterior jaws both in PP and NPP, provided that patients are enrolled in a specific supportive protocol, carrying out adequate home care procedures and compliance with recall appointments. Regular attendance to a maintenance program may play an important role in determining stable results over time and in preventing peri‐implant diseases, avoiding the worsening of mucositis in potential peri‐implantitis. Further investigations with longer follow‐up and prospective design are of course necessary to validate these conclusions. AUTHOR CONTRIBUTIONS: Giorgio Lombardo: Concept and design, critical revision and approval of article. Annarita Signoriello: Data collection and analysis, planning of statistics, drafting article. Alessia Pardo, Xiomara Zilena Serpa Romero, Luisa Arévalo Tovar: Data collection and analysis. Luis Armando Vila Sierra, Pier Francesco Nocini: Critical revision and approval of article. Mauro Marincola: Concept and design, critical revision and approval of article CONFLICT OF INTEREST: All authors declare no conflicts of interests.
Background: Short and ultra-short implants implants supporting single crowns seem to demonstrate high percentages of survival and stable marginal bone levels at a mid-term follow-up. Nevertheless, insurgence of peri-implant complications still represents a critical issue, especially for patients with history of periodontitis. Methods: Implants were placed in the maxillary and mandibular posterior regions of 142 patients with (PP) and without (NPP) a history of periodontitis. Clinical and radiographic examinations were performed at 5-year recall appointments. Results: Implants respectively placed in PP and NPP were: 35.68% and 42.50% in 8.0 mm-length group, 33.33% and 36.67% in 6.0 mm-length group, and 30.99% and 20.83% in 5.0 mm-length group. Implant-based survival after 5 years of follow-up was 95.77% for PP and 96.67% for NPP (p = 0.77). Regarding crestal bone level variations, average crestal bone loss was statistically different (p = 0.04) among PP (0.74 mm) and NPP (0.61 mm). Implants presenting signs of mucositis were 6.86% in PP and 7.76% in NPP (p = 0.76). Setting the threshold for excessive bone loss at 1 mm after 60 months, peri-implantitis prevalence was 7.84% in PP and 2.59% in NPP (p = 0.08). Overall implant success was 92.16% and 97.41%, respectively, for PP and NPP. Conclusions: Under strict maintenance program, five-year outcomes suggest that short and ultra-short locking-taper implants can be successfully restored with single crowns in the posterior jaws both in PP and NPP.
INTRODUCTION: The use of dental implants in supporting prosthetic rehabilitations for partially or totally edentulous patients showed a significant increase over the last decades. Several longitudinal studies 1 reported implant survival percentages ranging from 92.8% to 97.1% over a period up to 10 years, demonstrating that dental implants constitute a valid treatment option for the replacement of missing teeth. At this proposal, favorable results were recently provided for the use of short implants (6 mm‐length) as an effective therapy in the rehabilitation of upper maxillary and mandibular jaw atrophies. 2 , 3 Even if available 5‐year studies 4 support the use of these implants as a predictable method only if splinted with other implants, other current investigations propose the possibility of their use as single crown implants, 5 , 6 , 7 which may be suggested as a gold standard in terms of oral hygiene procedures. 8 Moreover, even if dental implants seem to demonstrate high percentages of survival and stable marginal bone levels at a long‐term follow‐up, insurgence of peri‐implant diseases still represents a critical issue. 9 Clinical signs of peri‐implant inflammation around soft tissues (bleeding on probing, erythema, swelling, and/or suppuration), without loss of supporting bone, typically regard the onset of peri‐mucositis. 10 , 11 Once this condition turns to a non‐reversible infection, in which periodontal bacteria are involved in massively reducing marginal bone levels, peri‐implantitis can be observed. Peri‐implantitis implies a non‐linear progressive bone destruction, with a faster progression rate compared to periodontitis, 12 , 13 due to specific microorganisms present at the implant site, host defense and absence of periodontal ligament. 9 , 14 It is thus essential to establish codified protocols to prevent or efficiently manage the development of peri‐implant diseases, 15 as peri‐implant inflammation is directly connected with the presence of plaque deposits. 9 , 10 , 11 At this regard, history of periodontitis is considered a preponderant risk factor, among others, in determining the possible development of severe peri‐implant complications. 16 Several reviews and metanalysis 17 , 18 , 19 reveal that patients with a history of periodontitis, over a long term, show higher values of probing pocket depth, greater bone loss and higher prevalence of peri‐implantitis compared to periodontally healthy patients. The evidence concerning clinical and radiographic outcomes of short and ultra‐short implants placed in patients with treated periodontitis is still scarce and lacking long‐term homogeneous follow‐ups. 20 , 21 , 22 , 23 Furthermore, it is currently highly debated the use of these implants supporting single crowns specifically in this type of patients. 22 Sites with deep pocketing and gingival bleeding typical of periodontitis, once properly treated to achieve a successful resolution of the inflammation, remain however characterized by an unavoidable bone loss, 24 for which reduced‐length implants often represent the main option to re‐establish a functional fixed rehabilitation. Despite the advantages offered by this solution, strict maintenance protocols need to be established in periodontal patients rehabilitated with implants, to avoid an additional extensive marginal bone loss, 25 that could be definitively harmful in case of a short or ultra‐short implant. Based on the limits of the already published 3‐year investigations, 8 , 22 authors here hypothesized that longer‐term assessment is required for a proper clinical evaluation of effective conditions of locking‐taper implants rehabilitated with single crowns, especially if placed in patients with history of periodontitis. The aim of this 5‐year retrospective study, which adds complementary results to another investigation on the same sample of patients, 23 was to assess implant survival, marginal bone loss and implant success of 333 short and ultra‐short implants restored with single crowns in the maxillary and mandibular edentulous posterior regions, respectively, placed in patients with history of periodontitis (PP), and patients without history of periodontitis (NPP). As previously described, 23 a rigorous value of 1 mm was set as threshold for radiographically detectable marginal bone loss, measured during the time interval from loading to 5‐year follow‐up, and compatible with implant success and absence of signs of peri‐implantitis. CONCLUSIONS: Outcomes of the present study revealed that history of periodontitis represents a crucial factor for the success of short and ultra‐short implants, which need to be strictly monitored. These 5‐year results showed that short and ultra‐short locking‐taper implants supporting single‐crown restorations may represent a successful treatment for the rehabilitation of the atrophic posterior jaws both in PP and NPP, provided that patients are enrolled in a specific supportive protocol, carrying out adequate home care procedures and compliance with recall appointments. Regular attendance to a maintenance program may play an important role in determining stable results over time and in preventing peri‐implant diseases, avoiding the worsening of mucositis in potential peri‐implantitis. Further investigations with longer follow‐up and prospective design are of course necessary to validate these conclusions.
Background: Short and ultra-short implants implants supporting single crowns seem to demonstrate high percentages of survival and stable marginal bone levels at a mid-term follow-up. Nevertheless, insurgence of peri-implant complications still represents a critical issue, especially for patients with history of periodontitis. Methods: Implants were placed in the maxillary and mandibular posterior regions of 142 patients with (PP) and without (NPP) a history of periodontitis. Clinical and radiographic examinations were performed at 5-year recall appointments. Results: Implants respectively placed in PP and NPP were: 35.68% and 42.50% in 8.0 mm-length group, 33.33% and 36.67% in 6.0 mm-length group, and 30.99% and 20.83% in 5.0 mm-length group. Implant-based survival after 5 years of follow-up was 95.77% for PP and 96.67% for NPP (p = 0.77). Regarding crestal bone level variations, average crestal bone loss was statistically different (p = 0.04) among PP (0.74 mm) and NPP (0.61 mm). Implants presenting signs of mucositis were 6.86% in PP and 7.76% in NPP (p = 0.76). Setting the threshold for excessive bone loss at 1 mm after 60 months, peri-implantitis prevalence was 7.84% in PP and 2.59% in NPP (p = 0.08). Overall implant success was 92.16% and 97.41%, respectively, for PP and NPP. Conclusions: Under strict maintenance program, five-year outcomes suggest that short and ultra-short locking-taper implants can be successfully restored with single crowns in the posterior jaws both in PP and NPP.
10,793
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[ 802, 1763, 75 ]
8
[ "implant", "implants", "mm", "bone", "23", "crown", "peri", "length", "study", "patients" ]
[ "tooth implants crown", "peri implantitis study", "short implants periodontally", "peri implantitis compared", "periodontitis implant survival" ]
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[CONTENT] mucositis | peri‐implantitis | periodontitis | short | single crown | ultra‐short [SUMMARY]
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[CONTENT] mucositis | peri‐implantitis | periodontitis | short | single crown | ultra‐short [SUMMARY]
[CONTENT] mucositis | peri‐implantitis | periodontitis | short | single crown | ultra‐short [SUMMARY]
[CONTENT] mucositis | peri‐implantitis | periodontitis | short | single crown | ultra‐short [SUMMARY]
[CONTENT] mucositis | peri‐implantitis | periodontitis | short | single crown | ultra‐short [SUMMARY]
[CONTENT] Alveolar Bone Loss | Crowns | Dental Implants | Dental Prosthesis Design | Dental Prosthesis, Implant-Supported | Dental Restoration Failure | Follow-Up Studies | Humans | Periodontitis | Retrospective Studies [SUMMARY]
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[CONTENT] Alveolar Bone Loss | Crowns | Dental Implants | Dental Prosthesis Design | Dental Prosthesis, Implant-Supported | Dental Restoration Failure | Follow-Up Studies | Humans | Periodontitis | Retrospective Studies [SUMMARY]
[CONTENT] Alveolar Bone Loss | Crowns | Dental Implants | Dental Prosthesis Design | Dental Prosthesis, Implant-Supported | Dental Restoration Failure | Follow-Up Studies | Humans | Periodontitis | Retrospective Studies [SUMMARY]
[CONTENT] Alveolar Bone Loss | Crowns | Dental Implants | Dental Prosthesis Design | Dental Prosthesis, Implant-Supported | Dental Restoration Failure | Follow-Up Studies | Humans | Periodontitis | Retrospective Studies [SUMMARY]
[CONTENT] Alveolar Bone Loss | Crowns | Dental Implants | Dental Prosthesis Design | Dental Prosthesis, Implant-Supported | Dental Restoration Failure | Follow-Up Studies | Humans | Periodontitis | Retrospective Studies [SUMMARY]
[CONTENT] tooth implants crown | peri implantitis study | short implants periodontally | peri implantitis compared | periodontitis implant survival [SUMMARY]
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[CONTENT] tooth implants crown | peri implantitis study | short implants periodontally | peri implantitis compared | periodontitis implant survival [SUMMARY]
[CONTENT] tooth implants crown | peri implantitis study | short implants periodontally | peri implantitis compared | periodontitis implant survival [SUMMARY]
[CONTENT] tooth implants crown | peri implantitis study | short implants periodontally | peri implantitis compared | periodontitis implant survival [SUMMARY]
[CONTENT] tooth implants crown | peri implantitis study | short implants periodontally | peri implantitis compared | periodontitis implant survival [SUMMARY]
[CONTENT] implant | implants | mm | bone | 23 | crown | peri | length | study | patients [SUMMARY]
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[CONTENT] implant | implants | mm | bone | 23 | crown | peri | length | study | patients [SUMMARY]
[CONTENT] implant | implants | mm | bone | 23 | crown | peri | length | study | patients [SUMMARY]
[CONTENT] implant | implants | mm | bone | 23 | crown | peri | length | study | patients [SUMMARY]
[CONTENT] implant | implants | mm | bone | 23 | crown | peri | length | study | patients [SUMMARY]
[CONTENT] implants | bone | implant | periodontitis | short | patients | peri | loss | marginal | use [SUMMARY]
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[CONTENT] groups | mm | npp | pp | length | mm length | 36 | respectively | significant | 36 mm [SUMMARY]
[CONTENT] short | short ultra | ultra short | short ultra short | ultra | results | rehabilitation atrophic posterior | carrying adequate home | diseases avoiding | represent successful treatment rehabilitation [SUMMARY]
[CONTENT] implant | implants | mm | short | bone | peri | pp | length | 23 | crown [SUMMARY]
[CONTENT] implant | implants | mm | short | bone | peri | pp | length | 23 | crown [SUMMARY]
[CONTENT] ||| [SUMMARY]
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[CONTENT] PP | NPP | 35.68% | 42.50% | 8.0 mm | 33.33% | 36.67% | 6.0 mm | 30.99% | 20.83% | 5.0 mm ||| 5 years | 95.77% | PP | 96.67% | NPP | 0.77 ||| 0.04 | PP | 0.74 mm | NPP | 0.61 mm ||| 6.86% | PP | 7.76% | NPP ||| 1 mm | 60 months | 7.84% | PP | 2.59% | NPP | 0.08 ||| 92.16% | 97.41% | PP | NPP [SUMMARY]
[CONTENT] five-year | PP | NPP [SUMMARY]
[CONTENT] ||| ||| 142 | PP | NPP ||| 5-year ||| ||| PP | NPP | 35.68% | 42.50% | 8.0 mm | 33.33% | 36.67% | 6.0 mm | 30.99% | 20.83% | 5.0 mm ||| 5 years | 95.77% | PP | 96.67% | NPP | 0.77 ||| 0.04 | PP | 0.74 mm | NPP | 0.61 mm ||| 6.86% | PP | 7.76% | NPP ||| 1 mm | 60 months | 7.84% | PP | 2.59% | NPP | 0.08 ||| 92.16% | 97.41% | PP | NPP ||| five-year | PP | NPP [SUMMARY]
[CONTENT] ||| ||| 142 | PP | NPP ||| 5-year ||| ||| PP | NPP | 35.68% | 42.50% | 8.0 mm | 33.33% | 36.67% | 6.0 mm | 30.99% | 20.83% | 5.0 mm ||| 5 years | 95.77% | PP | 96.67% | NPP | 0.77 ||| 0.04 | PP | 0.74 mm | NPP | 0.61 mm ||| 6.86% | PP | 7.76% | NPP ||| 1 mm | 60 months | 7.84% | PP | 2.59% | NPP | 0.08 ||| 92.16% | 97.41% | PP | NPP ||| five-year | PP | NPP [SUMMARY]
Who Smokes in Europe? Data From 12 European Countries in the TackSHS Survey (2017-2018).
32249267
Population data on tobacco use and its determinants require continuous monitoring and careful inter-country comparison. We aimed to provide the most up-to-date estimates on tobacco smoking from a large cross-sectional survey, conducted in selected European countries.
BACKGROUND
Within the TackSHS Project, a face-to-face survey on smoking was conducted in 2017-2018 in 12 countries: Bulgaria, England, France, Germany, Greece, Ireland, Italy, Latvia, Poland, Portugal, Romania, and Spain, representing around 80% of the 432 million European Union (EU) adult population. In each country, a representative sample of around 1,000 subjects aged 15 years and older was interviewed, for a total of 11,902 participants.
METHODS
Overall, 25.9% of participants were current smokers (31.0% of men and 21.2% of women, P < 0.001), while 16.5% were former smokers. Smoking prevalence ranged from 18.9% in Italy to 37.0% in Bulgaria. It decreased with increasing age (compared to <45, multivariable odds ratio [OR] for ≥65 year, 0.31; 95% confidence interval [CI], 0.27-0.36), level of education (OR for low vs high, 1.32; 95% CI, 1.17-1.48) and self-rated household economic level (OR for low vs high, 2.05; 95% CI, 1.74-2.42). The same patterns were found in both sexes.
RESULTS
These smoking prevalence estimates represent the most up-to-date evidence in Europe. From them, it can be derived that there are more than 112 million current smokers in the EU-28. Lower socio-economic status is a major determinant of smoking habit in both sexes.
CONCLUSIONS
[ "Adolescent", "Adult", "Aged", "Cross-Sectional Studies", "Europe", "Female", "Health Surveys", "Humans", "Male", "Middle Aged", "Prevalence", "Smokers", "Smoking", "Socioeconomic Factors", "Young Adult" ]
7813769
INTRODUCTION
In 2008, the World Health Organization (WHO) introduced the MPOWER policy package, a series of technical measures and resources to assist country-level implementation of the WHO Framework Convention on Tobacco Control (FCTC), developed in response to the globalization of the tobacco epidemic. The first of these technical measures involves the monitoring of prevention policies and tobacco use.1 Several national surveillance systems are available to monitor smoking prevalence and trends in most countries.2 However, data from country-specific populations are poorly comparable, since they are not collected using a standardized study design—including sampling methods, mode of interviewing and questionnaires—which represents a prerequisite for valid comparisons of smoking prevalence and smoking patterns across different countries.3,4 To the best of our knowledge, the only standardized and representative investigations that systematically monitor smoking prevalence among adults in more than one European country, are the WHO Global Adult Tobacco Survey (GATS)5,6; the Survey of Health, Ageing and Retirement in Europe (SHARE)7; and the European Commission (EC) Special Eurobarometers.8–10 GATS covers three European Union (EU) member states (MS; ie, Greece, Poland, and Romania)5,6; SHARE is a longitudinal study, conducted in five waves between 2004 and 2013, collecting information on smoking habit among individuals aged 50 years and older from 20 European countries7; Eurobarometer is a representative survey conducted in all the 28 EU MS on approximately 1,000 face-to-face interviews per country, based on selected thematic studies. The most recent Eurobarometer surveys focusing on tobacco smoking indicated that the overall smoking prevalence in the EU had slightly decreased from 29% in 2009 to 26% in 2014, and remained stable until 2017.8,9,11 Among the other tobacco control projects, the International Tobacco Control Policy Evaluation Project (the ITC Project) includes longitudinal studies in 10 European countries. However, all these studies, which include samples not representative of the general population or smokers only, cannot provide smoking prevalence estimates.12 The above-mentioned European surveillance systems are important and useful tools; however, they are not always able to investigate in-depth key tobacco control measures and smoking determinants. Consequently, a few specific studies, mainly supported by the EC, have been conducted to analyse this issue.3,13–15 These include, the Pricing Policies and Control of Tobacco in Europe (PPACTE) survey, conducted in 2010 to investigate the effectiveness of pricing policies on tobacco control in Europe3,16,17; and the present survey, conducted within the TackSHS Project (http://tackshs.eu),18 aimed to improve understanding of exposure to second-hand tobacco smoke (SHS) and e-cigarette aerosol in Europe. In this paper we aimed to describe the TackSHS survey, a multi-country survey conducted in 2017–2018 in 12 EU MS, providing the main results on smoking prevalence and its correlates in Europe.
METHODS
The TackSHS survey18 has been conducted in 12 strategically selected EU countries (Bulgaria, England, France, Germany, Greece, Ireland, Italy, Latvia, Poland, Portugal, Romania, and Spain), representing geographical, legislative and cultural variations across the EU. This cross-sectional study was coordinated by Istituto di Ricerche Farmacologiche Mario Negri IRCCS (Mario Negri Institute; Milan, Italy). The fieldwork was conducted by DOXA, the Italian branch of the Worldwide Independent Network/Gallup International Association, and its European partners. Sample selection In each country, we considered a sample of around 1,000 individuals aged 15 years and older (participants’ age was ≥16 in England, ≥18 in Ireland, 15–64 in Greece, and 15–74 years in Latvia), representative of the general population in terms of age, sex, habitat (ie, geographic area and/or size of municipality) and, in some countries, socio-economic characteristics. The survey included a total of 11,902 subjects. The whole population domain represented 79.2% of the whole EU population aged 15 years or over (432 million inhabitants). Sampling methods varied across countries: in Bulgaria, Greece, Italy, Latvia and Romania, a multi-stage sampling was used and respondents were randomly chosen to be representative of the population in terms of sex, age, and geographic area (in Italy, representativeness by socio-economic characteristics was also ensured); in Germany, Ireland, Poland, Portugal, and Spain, stratified random sampling was used, combining also quotas on sex and age and social class in Ireland; in England, United Kingdom, cluster sampling with quotas on age, sex, socio-economic status (SES), region, urban/rural dwelling was used to ensure national representativeness; in France, quotas on age, sex, region, and city size were used for the selection of survey participants. In each country, we considered a sample of around 1,000 individuals aged 15 years and older (participants’ age was ≥16 in England, ≥18 in Ireland, 15–64 in Greece, and 15–74 years in Latvia), representative of the general population in terms of age, sex, habitat (ie, geographic area and/or size of municipality) and, in some countries, socio-economic characteristics. The survey included a total of 11,902 subjects. The whole population domain represented 79.2% of the whole EU population aged 15 years or over (432 million inhabitants). Sampling methods varied across countries: in Bulgaria, Greece, Italy, Latvia and Romania, a multi-stage sampling was used and respondents were randomly chosen to be representative of the population in terms of sex, age, and geographic area (in Italy, representativeness by socio-economic characteristics was also ensured); in Germany, Ireland, Poland, Portugal, and Spain, stratified random sampling was used, combining also quotas on sex and age and social class in Ireland; in England, United Kingdom, cluster sampling with quotas on age, sex, socio-economic status (SES), region, urban/rural dwelling was used to ensure national representativeness; in France, quotas on age, sex, region, and city size were used for the selection of survey participants. Questionnaire A first draft of the survey questionnaire was developed in English language by the researchers from Mario Negri Institute, based on previous tobacco use and secondhand smoke exposure questionnaires.3,19–21 A specific commission with six experts among project partners was created to review the questionnaire and to produce a second version. The final version of the English questionnaire was then developed through the collaboration with all the partners of the TackSHS consortium (eMaterial 1). The questionnaire was translated into Italian language by Mario Negri Institute’s researchers, and into Bulgarian, French, German, Greek, Latvian, Russian, Polish, Portuguese, Romanian, and Spanish by DOXA partners. The translated versions of the questionnaire were revised and validated by bilingual (ie, local language and English language) tobacco control experts. The questionnaire contains four sections: socio-economic and demographic characteristics; cigarette smoking habit and e-cigarette use; exposure to secondhand smoke (SHS) and e-cigarette aerosol, plus cigarette smoking and e-cigarette use, in different indoor and outdoor places; and attitudes and perceptions on smoke-free regulations and awareness of SHS harmful effects. A first draft of the survey questionnaire was developed in English language by the researchers from Mario Negri Institute, based on previous tobacco use and secondhand smoke exposure questionnaires.3,19–21 A specific commission with six experts among project partners was created to review the questionnaire and to produce a second version. The final version of the English questionnaire was then developed through the collaboration with all the partners of the TackSHS consortium (eMaterial 1). The questionnaire was translated into Italian language by Mario Negri Institute’s researchers, and into Bulgarian, French, German, Greek, Latvian, Russian, Polish, Portuguese, Romanian, and Spanish by DOXA partners. The translated versions of the questionnaire were revised and validated by bilingual (ie, local language and English language) tobacco control experts. The questionnaire contains four sections: socio-economic and demographic characteristics; cigarette smoking habit and e-cigarette use; exposure to secondhand smoke (SHS) and e-cigarette aerosol, plus cigarette smoking and e-cigarette use, in different indoor and outdoor places; and attitudes and perceptions on smoke-free regulations and awareness of SHS harmful effects. Fieldwork Ad hoc trained interviewers conducted a face-to-face, computer-assisted personal interviewing (CAPI) survey in all the 12 European countries. A test fieldwork was conducted by DOXA in Italy in November 2016 among 1,059 participants. The fieldwork in the other 11 countries was conducted between June 2017 (in Romania) and October 2018 (in Latvia). Table 1 provides information on survey characteristics for each country, including fieldwork period, sample size, age range and sampling methods. CAPI, computer assisted personal interview; SES, socio-economic status. aRaw sample size. bThis period does not include the time of the survey conducted in Italy (ie, Nov–Dec 2016) since Italy was the pilot country. The participants from Italy are included in all the analyses. Ad hoc trained interviewers conducted a face-to-face, computer-assisted personal interviewing (CAPI) survey in all the 12 European countries. A test fieldwork was conducted by DOXA in Italy in November 2016 among 1,059 participants. The fieldwork in the other 11 countries was conducted between June 2017 (in Romania) and October 2018 (in Latvia). Table 1 provides information on survey characteristics for each country, including fieldwork period, sample size, age range and sampling methods. CAPI, computer assisted personal interview; SES, socio-economic status. aRaw sample size. bThis period does not include the time of the survey conducted in Italy (ie, Nov–Dec 2016) since Italy was the pilot country. The participants from Italy are included in all the analyses. Variables and definitions Demographic characteristics included age (categorized as <25, 25–44, 45–64, ≥65 years) and sex (men and women). Level of education was categorized as country-specific tertiles of schooling years. Self-assessment of household family economic status relative to the country-specific population was classified into three levels (higher than average, average, and lower than average). Never smokers were defined as participants who had never smoked or had smoked less than 100 cigarettes in their lifetime. Smokers were defined as participants who reported smoking at least 100 cigarettes (including roll-your-own cigarettes) during their lifetime. Current smokers were smokers who reported smoking at the time they participated in this survey, while ex-smokers were smokers who stopped smoking by the time they participated in this survey.3,21 Smokers also provided information on age of starting smoking and the number of cigarettes smoked per day. For each country, we calculated the male-to-female smoking prevalence ratio as the current smoking prevalence in men divided by that in women. The 12 countries were classified into Northern (England, Ireland, and Latvia), Western (France and Germany), Southern (Italy, Greece, Portugal, and Spain), and Eastern (Bulgaria, Poland, and Romania), following United Nation M49 standard,22 and halved by their gross domestic product (GDP) per capita23 into <25.000 € (Latvia, Romania, Poland, Portugal, Greece, and Bulgaria) and ≥25.000 € (England, France, Germany, Ireland, Italy, and Spain). Demographic characteristics included age (categorized as <25, 25–44, 45–64, ≥65 years) and sex (men and women). Level of education was categorized as country-specific tertiles of schooling years. Self-assessment of household family economic status relative to the country-specific population was classified into three levels (higher than average, average, and lower than average). Never smokers were defined as participants who had never smoked or had smoked less than 100 cigarettes in their lifetime. Smokers were defined as participants who reported smoking at least 100 cigarettes (including roll-your-own cigarettes) during their lifetime. Current smokers were smokers who reported smoking at the time they participated in this survey, while ex-smokers were smokers who stopped smoking by the time they participated in this survey.3,21 Smokers also provided information on age of starting smoking and the number of cigarettes smoked per day. For each country, we calculated the male-to-female smoking prevalence ratio as the current smoking prevalence in men divided by that in women. The 12 countries were classified into Northern (England, Ireland, and Latvia), Western (France and Germany), Southern (Italy, Greece, Portugal, and Spain), and Eastern (Bulgaria, Poland, and Romania), following United Nation M49 standard,22 and halved by their gross domestic product (GDP) per capita23 into <25.000 € (Latvia, Romania, Poland, Portugal, Greece, and Bulgaria) and ≥25.000 € (England, France, Germany, Ireland, Italy, and Spain). Ethical issues We obtained study approval from a local Ethics Committee in each of the 12 countries (eTable 1). Details on the survey characteristics were provided to all participants by suitably qualified professionals through a structured information sheet, and all the participants provided their consents by ticking the electronic field in the CAPI questionnaire. The study protocol has been registered in ClinicalTrials.gov (ID: NCT02928536). The procedures for recruitment of subjects, data collection, storage, and protection (based on anonymous identification code) are in accordance with the current country-specific legislation. This was ratified and signed by DOXA and each of its European partners. We obtained study approval from a local Ethics Committee in each of the 12 countries (eTable 1). Details on the survey characteristics were provided to all participants by suitably qualified professionals through a structured information sheet, and all the participants provided their consents by ticking the electronic field in the CAPI questionnaire. The study protocol has been registered in ClinicalTrials.gov (ID: NCT02928536). The procedures for recruitment of subjects, data collection, storage, and protection (based on anonymous identification code) are in accordance with the current country-specific legislation. This was ratified and signed by DOXA and each of its European partners. Statistical analysis Statistical weights were used to generate representative estimates of the general population of each country (individual weight). To calculate results for the entire sample, we applied “country weights”, which combined individual weights with an additional weighting factor, with each country contributing in proportion to its population aged 15 years or over, obtained by Eurostat.24 We considered descriptive statistics including relative frequency (%) and its corresponding 95% confidence intervals (CIs) for categorical variables, and mean and standard deviation (SD) for continuous variables. ORs and their corresponding 95% CIs were estimated using multilevel logistic random-effects models, to take into account the heterogeneity between the 12 European countries. The study country effects were considered as random intercepts, and sex, age, and level of education as adjusting variables. Country weights were used in all logistic regression models. Analyses were performed with SAS 9.4 (SAS Institute; Cary, NC, USA). Statistical weights were used to generate representative estimates of the general population of each country (individual weight). To calculate results for the entire sample, we applied “country weights”, which combined individual weights with an additional weighting factor, with each country contributing in proportion to its population aged 15 years or over, obtained by Eurostat.24 We considered descriptive statistics including relative frequency (%) and its corresponding 95% confidence intervals (CIs) for categorical variables, and mean and standard deviation (SD) for continuous variables. ORs and their corresponding 95% CIs were estimated using multilevel logistic random-effects models, to take into account the heterogeneity between the 12 European countries. The study country effects were considered as random intercepts, and sex, age, and level of education as adjusting variables. Country weights were used in all logistic regression models. Analyses were performed with SAS 9.4 (SAS Institute; Cary, NC, USA).
RESULTS
Among 11,902 participants, 57.6% (95% CI, 56.8–58.5%) described themselves as never smokers (49.5% in men and 65.1% in women), 16.5% (95% CI, 15.8–17.2%) as ex-smokers (19.5% in men and 13.7% in women) and 25.9% (95% CI, 25.1–26.7%) as current smokers (31.0% in men and 21.2% in women; Table 2). The smoking prevalence was below 20% in Italy (18.9%), Ireland (19.6%), and England (19.8%), and over 35% in Bulgaria (37.0%) and Portugal (36.8%). Smoking prevalence in men ranged from 20.3% in England to 42.0% in Portugal, and in women from 15.3% in Germany to 34.4% in Bulgaria. Average smoking intensity was 14.7 cigarettes per day (SD, 8.8), ranging from 12.4 (SD, 7.5) in Italy to 17.1 (SD, 15.8) in Greece. M/F, male to female; SD, standard deviation. aSmoking intensity, including both manufactured and roll-your-own cigarettes among current smokers (men and women combined). Questions on cigarette smoking intensity was not asked in Ireland. In the other 11 countries, 2,938 out of 3,050 current smokers provided information on the number of cigarettes smoked per day. bCountry weights were applied, which combined individual weights with an additional weighting factor, with each country contributing in proportion to its population aged 15 years or over, obtained by Eurostat.24 Among current smokers, 76.1% started smoking before age 18 years and 96.3% before 25 years. Mean age at starting regular smoking was 17.4 (SD, 4.5) overall, 17.1 (SD, 4.1) in males, and 17.8 (SD, 4.8) years in female smokers, and varied between 15.2 (SD, 4.2) in England and 19.1 years (SD, 4.2) in Romania (data not shown in tables). Table 3 provides the ORs for current versus non-smokers according to selected individual-level and country-specific characteristics. Smoking prevalence was higher in men than in women (OR 1.67; 95% CI, 1.53–1.82). Compared with subjects aged <45 years, ORs were 0.97 (95% CI, 0.89–1.07) for 45–64 years, and 0.31 (95% CI, 0.27–0.36) for ≥65 years. Compared with high level of education, the ORs were 1.39 (95% CI, 1.25–1.55) for medium and 1.32 (95% CI, 1.17–1.48) for low level of education (P for trend <0.001). Compared to those with a high household economic status, the ORs were 1.33 (95% CI, 1.15–1.54) and 2.05 (95% CI, 1.74–2.42) for those with an average and low economic status, respectively. The patterns observed for all the individual-level characteristics were consistent in men and women. Compared with Northern Europe, the ORs of smoking were 1.58 (95% CI, 0.98–2.56) in Western, 1.52 (95% CI, 0.93–2.49) in Southern and 1.57 (95% CI, 0.92–2.70) in Eastern European countries. Compared to Northern Europe, the OR in men was higher in Western Europe (OR 2.17; 95% CI, 1.35–3.48), Southern Europe (OR 1.77; 95% CI, 1.09–2.87) and Eastern Europe (OR 1.87; 95% CI, 1.10–3.18). Smoking prevalence showed no significant difference between countries with lower and higher GDP per capita, the ORs for less wealthy countries being 1.22 (95% CI, 0.82–1.81). CI, confidence interval; GDP, gross domestic product; OR, odds ratio. aCountry weights were applied, which combined individual weights with an additional weighting factor, with each country contributing in proportion to its population aged 15 years or over, obtained by Eurostat.24 bRaw sample size. cORs and their corresponding 95% CIs were estimated using multilevel logistic random-effects models, to take into account the heterogeneity between the 12 European countries. The study country effects were considered as random intercepts, and sex, age and level of education as adjusting variables. Estimates in bold are statistically significant at 0.05 level. dReference category. eLevel of education was categorized as country-specific tertiles of schooling years. The sum does not add to the total because of a few missing values. fSelf-assessment of household (family) economic status relative to the country-specific population. This variable is missing for all German subjects, 79 Latvian and, 35 Romanian subjects.
null
null
[ "Sample selection", "Questionnaire", "Fieldwork", "Variables and definitions", "Ethical issues", "Statistical analysis" ]
[ "In each country, we considered a sample of around 1,000 individuals aged 15 years and older (participants’ age was ≥16 in England, ≥18 in Ireland, 15–64 in Greece, and 15–74 years in Latvia), representative of the general population in terms of age, sex, habitat (ie, geographic area and/or size of municipality) and, in some countries, socio-economic characteristics. The survey included a total of 11,902 subjects. The whole population domain represented 79.2% of the whole EU population aged 15 years or over (432 million inhabitants).\nSampling methods varied across countries: in Bulgaria, Greece, Italy, Latvia and Romania, a multi-stage sampling was used and respondents were randomly chosen to be representative of the population in terms of sex, age, and geographic area (in Italy, representativeness by socio-economic characteristics was also ensured); in Germany, Ireland, Poland, Portugal, and Spain, stratified random sampling was used, combining also quotas on sex and age and social class in Ireland; in England, United Kingdom, cluster sampling with quotas on age, sex, socio-economic status (SES), region, urban/rural dwelling was used to ensure national representativeness; in France, quotas on age, sex, region, and city size were used for the selection of survey participants.", "A first draft of the survey questionnaire was developed in English language by the researchers from Mario Negri Institute, based on previous tobacco use and secondhand smoke exposure questionnaires.3,19–21 A specific commission with six experts among project partners was created to review the questionnaire and to produce a second version. The final version of the English questionnaire was then developed through the collaboration with all the partners of the TackSHS consortium (eMaterial 1). The questionnaire was translated into Italian language by Mario Negri Institute’s researchers, and into Bulgarian, French, German, Greek, Latvian, Russian, Polish, Portuguese, Romanian, and Spanish by DOXA partners. The translated versions of the questionnaire were revised and validated by bilingual (ie, local language and English language) tobacco control experts.\nThe questionnaire contains four sections: socio-economic and demographic characteristics; cigarette smoking habit and e-cigarette use; exposure to secondhand smoke (SHS) and e-cigarette aerosol, plus cigarette smoking and e-cigarette use, in different indoor and outdoor places; and attitudes and perceptions on smoke-free regulations and awareness of SHS harmful effects.", "Ad hoc trained interviewers conducted a face-to-face, computer-assisted personal interviewing (CAPI) survey in all the 12 European countries. A test fieldwork was conducted by DOXA in Italy in November 2016 among 1,059 participants. The fieldwork in the other 11 countries was conducted between June 2017 (in Romania) and October 2018 (in Latvia). Table 1 provides information on survey characteristics for each country, including fieldwork period, sample size, age range and sampling methods.\nCAPI, computer assisted personal interview; SES, socio-economic status.\naRaw sample size.\nbThis period does not include the time of the survey conducted in Italy (ie, Nov–Dec 2016) since Italy was the pilot country. The participants from Italy are included in all the analyses.", "Demographic characteristics included age (categorized as <25, 25–44, 45–64, ≥65 years) and sex (men and women). Level of education was categorized as country-specific tertiles of schooling years. Self-assessment of household family economic status relative to the country-specific population was classified into three levels (higher than average, average, and lower than average). Never smokers were defined as participants who had never smoked or had smoked less than 100 cigarettes in their lifetime. Smokers were defined as participants who reported smoking at least 100 cigarettes (including roll-your-own cigarettes) during their lifetime. Current smokers were smokers who reported smoking at the time they participated in this survey, while ex-smokers were smokers who stopped smoking by the time they participated in this survey.3,21 Smokers also provided information on age of starting smoking and the number of cigarettes smoked per day. For each country, we calculated the male-to-female smoking prevalence ratio as the current smoking prevalence in men divided by that in women. The 12 countries were classified into Northern (England, Ireland, and Latvia), Western (France and Germany), Southern (Italy, Greece, Portugal, and Spain), and Eastern (Bulgaria, Poland, and Romania), following United Nation M49 standard,22 and halved by their gross domestic product (GDP) per capita23 into <25.000 € (Latvia, Romania, Poland, Portugal, Greece, and Bulgaria) and ≥25.000 € (England, France, Germany, Ireland, Italy, and Spain).", "We obtained study approval from a local Ethics Committee in each of the 12 countries (eTable 1). Details on the survey characteristics were provided to all participants by suitably qualified professionals through a structured information sheet, and all the participants provided their consents by ticking the electronic field in the CAPI questionnaire. The study protocol has been registered in ClinicalTrials.gov (ID: NCT02928536).\nThe procedures for recruitment of subjects, data collection, storage, and protection (based on anonymous identification code) are in accordance with the current country-specific legislation. This was ratified and signed by DOXA and each of its European partners.", "Statistical weights were used to generate representative estimates of the general population of each country (individual weight). To calculate results for the entire sample, we applied “country weights”, which combined individual weights with an additional weighting factor, with each country contributing in proportion to its population aged 15 years or over, obtained by Eurostat.24\nWe considered descriptive statistics including relative frequency (%) and its corresponding 95% confidence intervals (CIs) for categorical variables, and mean and standard deviation (SD) for continuous variables.\nORs and their corresponding 95% CIs were estimated using multilevel logistic random-effects models, to take into account the heterogeneity between the 12 European countries. The study country effects were considered as random intercepts, and sex, age, and level of education as adjusting variables. Country weights were used in all logistic regression models. Analyses were performed with SAS 9.4 (SAS Institute; Cary, NC, USA)." ]
[ null, null, null, null, null, null ]
[ "INTRODUCTION", "METHODS", "Sample selection", "Questionnaire", "Fieldwork", "Variables and definitions", "Ethical issues", "Statistical analysis", "RESULTS", "DISCUSSION" ]
[ "In 2008, the World Health Organization (WHO) introduced the MPOWER policy package, a series of technical measures and resources to assist country-level implementation of the WHO Framework Convention on Tobacco Control (FCTC), developed in response to the globalization of the tobacco epidemic. The first of these technical measures involves the monitoring of prevention policies and tobacco use.1\nSeveral national surveillance systems are available to monitor smoking prevalence and trends in most countries.2 However, data from country-specific populations are poorly comparable, since they are not collected using a standardized study design—including sampling methods, mode of interviewing and questionnaires—which represents a prerequisite for valid comparisons of smoking prevalence and smoking patterns across different countries.3,4\nTo the best of our knowledge, the only standardized and representative investigations that systematically monitor smoking prevalence among adults in more than one European country, are the WHO Global Adult Tobacco Survey (GATS)5,6; the Survey of Health, Ageing and Retirement in Europe (SHARE)7; and the European Commission (EC) Special Eurobarometers.8–10 GATS covers three European Union (EU) member states (MS; ie, Greece, Poland, and Romania)5,6; SHARE is a longitudinal study, conducted in five waves between 2004 and 2013, collecting information on smoking habit among individuals aged 50 years and older from 20 European countries7; Eurobarometer is a representative survey conducted in all the 28 EU MS on approximately 1,000 face-to-face interviews per country, based on selected thematic studies. The most recent Eurobarometer surveys focusing on tobacco smoking indicated that the overall smoking prevalence in the EU had slightly decreased from 29% in 2009 to 26% in 2014, and remained stable until 2017.8,9,11 Among the other tobacco control projects, the International Tobacco Control Policy Evaluation Project (the ITC Project) includes longitudinal studies in 10 European countries. However, all these studies, which include samples not representative of the general population or smokers only, cannot provide smoking prevalence estimates.12 The above-mentioned European surveillance systems are important and useful tools; however, they are not always able to investigate in-depth key tobacco control measures and smoking determinants. Consequently, a few specific studies, mainly supported by the EC, have been conducted to analyse this issue.3,13–15 These include, the Pricing Policies and Control of Tobacco in Europe (PPACTE) survey, conducted in 2010 to investigate the effectiveness of pricing policies on tobacco control in Europe3,16,17; and the present survey, conducted within the TackSHS Project (http://tackshs.eu),18 aimed to improve understanding of exposure to second-hand tobacco smoke (SHS) and e-cigarette aerosol in Europe.\nIn this paper we aimed to describe the TackSHS survey, a multi-country survey conducted in 2017–2018 in 12 EU MS, providing the main results on smoking prevalence and its correlates in Europe.", "The TackSHS survey18 has been conducted in 12 strategically selected EU countries (Bulgaria, England, France, Germany, Greece, Ireland, Italy, Latvia, Poland, Portugal, Romania, and Spain), representing geographical, legislative and cultural variations across the EU.\nThis cross-sectional study was coordinated by Istituto di Ricerche Farmacologiche Mario Negri IRCCS (Mario Negri Institute; Milan, Italy). The fieldwork was conducted by DOXA, the Italian branch of the Worldwide Independent Network/Gallup International Association, and its European partners.\n Sample selection In each country, we considered a sample of around 1,000 individuals aged 15 years and older (participants’ age was ≥16 in England, ≥18 in Ireland, 15–64 in Greece, and 15–74 years in Latvia), representative of the general population in terms of age, sex, habitat (ie, geographic area and/or size of municipality) and, in some countries, socio-economic characteristics. The survey included a total of 11,902 subjects. The whole population domain represented 79.2% of the whole EU population aged 15 years or over (432 million inhabitants).\nSampling methods varied across countries: in Bulgaria, Greece, Italy, Latvia and Romania, a multi-stage sampling was used and respondents were randomly chosen to be representative of the population in terms of sex, age, and geographic area (in Italy, representativeness by socio-economic characteristics was also ensured); in Germany, Ireland, Poland, Portugal, and Spain, stratified random sampling was used, combining also quotas on sex and age and social class in Ireland; in England, United Kingdom, cluster sampling with quotas on age, sex, socio-economic status (SES), region, urban/rural dwelling was used to ensure national representativeness; in France, quotas on age, sex, region, and city size were used for the selection of survey participants.\nIn each country, we considered a sample of around 1,000 individuals aged 15 years and older (participants’ age was ≥16 in England, ≥18 in Ireland, 15–64 in Greece, and 15–74 years in Latvia), representative of the general population in terms of age, sex, habitat (ie, geographic area and/or size of municipality) and, in some countries, socio-economic characteristics. The survey included a total of 11,902 subjects. The whole population domain represented 79.2% of the whole EU population aged 15 years or over (432 million inhabitants).\nSampling methods varied across countries: in Bulgaria, Greece, Italy, Latvia and Romania, a multi-stage sampling was used and respondents were randomly chosen to be representative of the population in terms of sex, age, and geographic area (in Italy, representativeness by socio-economic characteristics was also ensured); in Germany, Ireland, Poland, Portugal, and Spain, stratified random sampling was used, combining also quotas on sex and age and social class in Ireland; in England, United Kingdom, cluster sampling with quotas on age, sex, socio-economic status (SES), region, urban/rural dwelling was used to ensure national representativeness; in France, quotas on age, sex, region, and city size were used for the selection of survey participants.\n Questionnaire A first draft of the survey questionnaire was developed in English language by the researchers from Mario Negri Institute, based on previous tobacco use and secondhand smoke exposure questionnaires.3,19–21 A specific commission with six experts among project partners was created to review the questionnaire and to produce a second version. The final version of the English questionnaire was then developed through the collaboration with all the partners of the TackSHS consortium (eMaterial 1). The questionnaire was translated into Italian language by Mario Negri Institute’s researchers, and into Bulgarian, French, German, Greek, Latvian, Russian, Polish, Portuguese, Romanian, and Spanish by DOXA partners. The translated versions of the questionnaire were revised and validated by bilingual (ie, local language and English language) tobacco control experts.\nThe questionnaire contains four sections: socio-economic and demographic characteristics; cigarette smoking habit and e-cigarette use; exposure to secondhand smoke (SHS) and e-cigarette aerosol, plus cigarette smoking and e-cigarette use, in different indoor and outdoor places; and attitudes and perceptions on smoke-free regulations and awareness of SHS harmful effects.\nA first draft of the survey questionnaire was developed in English language by the researchers from Mario Negri Institute, based on previous tobacco use and secondhand smoke exposure questionnaires.3,19–21 A specific commission with six experts among project partners was created to review the questionnaire and to produce a second version. The final version of the English questionnaire was then developed through the collaboration with all the partners of the TackSHS consortium (eMaterial 1). The questionnaire was translated into Italian language by Mario Negri Institute’s researchers, and into Bulgarian, French, German, Greek, Latvian, Russian, Polish, Portuguese, Romanian, and Spanish by DOXA partners. The translated versions of the questionnaire were revised and validated by bilingual (ie, local language and English language) tobacco control experts.\nThe questionnaire contains four sections: socio-economic and demographic characteristics; cigarette smoking habit and e-cigarette use; exposure to secondhand smoke (SHS) and e-cigarette aerosol, plus cigarette smoking and e-cigarette use, in different indoor and outdoor places; and attitudes and perceptions on smoke-free regulations and awareness of SHS harmful effects.\n Fieldwork Ad hoc trained interviewers conducted a face-to-face, computer-assisted personal interviewing (CAPI) survey in all the 12 European countries. A test fieldwork was conducted by DOXA in Italy in November 2016 among 1,059 participants. The fieldwork in the other 11 countries was conducted between June 2017 (in Romania) and October 2018 (in Latvia). Table 1 provides information on survey characteristics for each country, including fieldwork period, sample size, age range and sampling methods.\nCAPI, computer assisted personal interview; SES, socio-economic status.\naRaw sample size.\nbThis period does not include the time of the survey conducted in Italy (ie, Nov–Dec 2016) since Italy was the pilot country. The participants from Italy are included in all the analyses.\nAd hoc trained interviewers conducted a face-to-face, computer-assisted personal interviewing (CAPI) survey in all the 12 European countries. A test fieldwork was conducted by DOXA in Italy in November 2016 among 1,059 participants. The fieldwork in the other 11 countries was conducted between June 2017 (in Romania) and October 2018 (in Latvia). Table 1 provides information on survey characteristics for each country, including fieldwork period, sample size, age range and sampling methods.\nCAPI, computer assisted personal interview; SES, socio-economic status.\naRaw sample size.\nbThis period does not include the time of the survey conducted in Italy (ie, Nov–Dec 2016) since Italy was the pilot country. The participants from Italy are included in all the analyses.\n Variables and definitions Demographic characteristics included age (categorized as <25, 25–44, 45–64, ≥65 years) and sex (men and women). Level of education was categorized as country-specific tertiles of schooling years. Self-assessment of household family economic status relative to the country-specific population was classified into three levels (higher than average, average, and lower than average). Never smokers were defined as participants who had never smoked or had smoked less than 100 cigarettes in their lifetime. Smokers were defined as participants who reported smoking at least 100 cigarettes (including roll-your-own cigarettes) during their lifetime. Current smokers were smokers who reported smoking at the time they participated in this survey, while ex-smokers were smokers who stopped smoking by the time they participated in this survey.3,21 Smokers also provided information on age of starting smoking and the number of cigarettes smoked per day. For each country, we calculated the male-to-female smoking prevalence ratio as the current smoking prevalence in men divided by that in women. The 12 countries were classified into Northern (England, Ireland, and Latvia), Western (France and Germany), Southern (Italy, Greece, Portugal, and Spain), and Eastern (Bulgaria, Poland, and Romania), following United Nation M49 standard,22 and halved by their gross domestic product (GDP) per capita23 into <25.000 € (Latvia, Romania, Poland, Portugal, Greece, and Bulgaria) and ≥25.000 € (England, France, Germany, Ireland, Italy, and Spain).\nDemographic characteristics included age (categorized as <25, 25–44, 45–64, ≥65 years) and sex (men and women). Level of education was categorized as country-specific tertiles of schooling years. Self-assessment of household family economic status relative to the country-specific population was classified into three levels (higher than average, average, and lower than average). Never smokers were defined as participants who had never smoked or had smoked less than 100 cigarettes in their lifetime. Smokers were defined as participants who reported smoking at least 100 cigarettes (including roll-your-own cigarettes) during their lifetime. Current smokers were smokers who reported smoking at the time they participated in this survey, while ex-smokers were smokers who stopped smoking by the time they participated in this survey.3,21 Smokers also provided information on age of starting smoking and the number of cigarettes smoked per day. For each country, we calculated the male-to-female smoking prevalence ratio as the current smoking prevalence in men divided by that in women. The 12 countries were classified into Northern (England, Ireland, and Latvia), Western (France and Germany), Southern (Italy, Greece, Portugal, and Spain), and Eastern (Bulgaria, Poland, and Romania), following United Nation M49 standard,22 and halved by their gross domestic product (GDP) per capita23 into <25.000 € (Latvia, Romania, Poland, Portugal, Greece, and Bulgaria) and ≥25.000 € (England, France, Germany, Ireland, Italy, and Spain).\n Ethical issues We obtained study approval from a local Ethics Committee in each of the 12 countries (eTable 1). Details on the survey characteristics were provided to all participants by suitably qualified professionals through a structured information sheet, and all the participants provided their consents by ticking the electronic field in the CAPI questionnaire. The study protocol has been registered in ClinicalTrials.gov (ID: NCT02928536).\nThe procedures for recruitment of subjects, data collection, storage, and protection (based on anonymous identification code) are in accordance with the current country-specific legislation. This was ratified and signed by DOXA and each of its European partners.\nWe obtained study approval from a local Ethics Committee in each of the 12 countries (eTable 1). Details on the survey characteristics were provided to all participants by suitably qualified professionals through a structured information sheet, and all the participants provided their consents by ticking the electronic field in the CAPI questionnaire. The study protocol has been registered in ClinicalTrials.gov (ID: NCT02928536).\nThe procedures for recruitment of subjects, data collection, storage, and protection (based on anonymous identification code) are in accordance with the current country-specific legislation. This was ratified and signed by DOXA and each of its European partners.\n Statistical analysis Statistical weights were used to generate representative estimates of the general population of each country (individual weight). To calculate results for the entire sample, we applied “country weights”, which combined individual weights with an additional weighting factor, with each country contributing in proportion to its population aged 15 years or over, obtained by Eurostat.24\nWe considered descriptive statistics including relative frequency (%) and its corresponding 95% confidence intervals (CIs) for categorical variables, and mean and standard deviation (SD) for continuous variables.\nORs and their corresponding 95% CIs were estimated using multilevel logistic random-effects models, to take into account the heterogeneity between the 12 European countries. The study country effects were considered as random intercepts, and sex, age, and level of education as adjusting variables. Country weights were used in all logistic regression models. Analyses were performed with SAS 9.4 (SAS Institute; Cary, NC, USA).\nStatistical weights were used to generate representative estimates of the general population of each country (individual weight). To calculate results for the entire sample, we applied “country weights”, which combined individual weights with an additional weighting factor, with each country contributing in proportion to its population aged 15 years or over, obtained by Eurostat.24\nWe considered descriptive statistics including relative frequency (%) and its corresponding 95% confidence intervals (CIs) for categorical variables, and mean and standard deviation (SD) for continuous variables.\nORs and their corresponding 95% CIs were estimated using multilevel logistic random-effects models, to take into account the heterogeneity between the 12 European countries. The study country effects were considered as random intercepts, and sex, age, and level of education as adjusting variables. Country weights were used in all logistic regression models. Analyses were performed with SAS 9.4 (SAS Institute; Cary, NC, USA).", "In each country, we considered a sample of around 1,000 individuals aged 15 years and older (participants’ age was ≥16 in England, ≥18 in Ireland, 15–64 in Greece, and 15–74 years in Latvia), representative of the general population in terms of age, sex, habitat (ie, geographic area and/or size of municipality) and, in some countries, socio-economic characteristics. The survey included a total of 11,902 subjects. The whole population domain represented 79.2% of the whole EU population aged 15 years or over (432 million inhabitants).\nSampling methods varied across countries: in Bulgaria, Greece, Italy, Latvia and Romania, a multi-stage sampling was used and respondents were randomly chosen to be representative of the population in terms of sex, age, and geographic area (in Italy, representativeness by socio-economic characteristics was also ensured); in Germany, Ireland, Poland, Portugal, and Spain, stratified random sampling was used, combining also quotas on sex and age and social class in Ireland; in England, United Kingdom, cluster sampling with quotas on age, sex, socio-economic status (SES), region, urban/rural dwelling was used to ensure national representativeness; in France, quotas on age, sex, region, and city size were used for the selection of survey participants.", "A first draft of the survey questionnaire was developed in English language by the researchers from Mario Negri Institute, based on previous tobacco use and secondhand smoke exposure questionnaires.3,19–21 A specific commission with six experts among project partners was created to review the questionnaire and to produce a second version. The final version of the English questionnaire was then developed through the collaboration with all the partners of the TackSHS consortium (eMaterial 1). The questionnaire was translated into Italian language by Mario Negri Institute’s researchers, and into Bulgarian, French, German, Greek, Latvian, Russian, Polish, Portuguese, Romanian, and Spanish by DOXA partners. The translated versions of the questionnaire were revised and validated by bilingual (ie, local language and English language) tobacco control experts.\nThe questionnaire contains four sections: socio-economic and demographic characteristics; cigarette smoking habit and e-cigarette use; exposure to secondhand smoke (SHS) and e-cigarette aerosol, plus cigarette smoking and e-cigarette use, in different indoor and outdoor places; and attitudes and perceptions on smoke-free regulations and awareness of SHS harmful effects.", "Ad hoc trained interviewers conducted a face-to-face, computer-assisted personal interviewing (CAPI) survey in all the 12 European countries. A test fieldwork was conducted by DOXA in Italy in November 2016 among 1,059 participants. The fieldwork in the other 11 countries was conducted between June 2017 (in Romania) and October 2018 (in Latvia). Table 1 provides information on survey characteristics for each country, including fieldwork period, sample size, age range and sampling methods.\nCAPI, computer assisted personal interview; SES, socio-economic status.\naRaw sample size.\nbThis period does not include the time of the survey conducted in Italy (ie, Nov–Dec 2016) since Italy was the pilot country. The participants from Italy are included in all the analyses.", "Demographic characteristics included age (categorized as <25, 25–44, 45–64, ≥65 years) and sex (men and women). Level of education was categorized as country-specific tertiles of schooling years. Self-assessment of household family economic status relative to the country-specific population was classified into three levels (higher than average, average, and lower than average). Never smokers were defined as participants who had never smoked or had smoked less than 100 cigarettes in their lifetime. Smokers were defined as participants who reported smoking at least 100 cigarettes (including roll-your-own cigarettes) during their lifetime. Current smokers were smokers who reported smoking at the time they participated in this survey, while ex-smokers were smokers who stopped smoking by the time they participated in this survey.3,21 Smokers also provided information on age of starting smoking and the number of cigarettes smoked per day. For each country, we calculated the male-to-female smoking prevalence ratio as the current smoking prevalence in men divided by that in women. The 12 countries were classified into Northern (England, Ireland, and Latvia), Western (France and Germany), Southern (Italy, Greece, Portugal, and Spain), and Eastern (Bulgaria, Poland, and Romania), following United Nation M49 standard,22 and halved by their gross domestic product (GDP) per capita23 into <25.000 € (Latvia, Romania, Poland, Portugal, Greece, and Bulgaria) and ≥25.000 € (England, France, Germany, Ireland, Italy, and Spain).", "We obtained study approval from a local Ethics Committee in each of the 12 countries (eTable 1). Details on the survey characteristics were provided to all participants by suitably qualified professionals through a structured information sheet, and all the participants provided their consents by ticking the electronic field in the CAPI questionnaire. The study protocol has been registered in ClinicalTrials.gov (ID: NCT02928536).\nThe procedures for recruitment of subjects, data collection, storage, and protection (based on anonymous identification code) are in accordance with the current country-specific legislation. This was ratified and signed by DOXA and each of its European partners.", "Statistical weights were used to generate representative estimates of the general population of each country (individual weight). To calculate results for the entire sample, we applied “country weights”, which combined individual weights with an additional weighting factor, with each country contributing in proportion to its population aged 15 years or over, obtained by Eurostat.24\nWe considered descriptive statistics including relative frequency (%) and its corresponding 95% confidence intervals (CIs) for categorical variables, and mean and standard deviation (SD) for continuous variables.\nORs and their corresponding 95% CIs were estimated using multilevel logistic random-effects models, to take into account the heterogeneity between the 12 European countries. The study country effects were considered as random intercepts, and sex, age, and level of education as adjusting variables. Country weights were used in all logistic regression models. Analyses were performed with SAS 9.4 (SAS Institute; Cary, NC, USA).", "Among 11,902 participants, 57.6% (95% CI, 56.8–58.5%) described themselves as never smokers (49.5% in men and 65.1% in women), 16.5% (95% CI, 15.8–17.2%) as ex-smokers (19.5% in men and 13.7% in women) and 25.9% (95% CI, 25.1–26.7%) as current smokers (31.0% in men and 21.2% in women; Table 2). The smoking prevalence was below 20% in Italy (18.9%), Ireland (19.6%), and England (19.8%), and over 35% in Bulgaria (37.0%) and Portugal (36.8%). Smoking prevalence in men ranged from 20.3% in England to 42.0% in Portugal, and in women from 15.3% in Germany to 34.4% in Bulgaria. Average smoking intensity was 14.7 cigarettes per day (SD, 8.8), ranging from 12.4 (SD, 7.5) in Italy to 17.1 (SD, 15.8) in Greece.\nM/F, male to female; SD, standard deviation.\naSmoking intensity, including both manufactured and roll-your-own cigarettes among current smokers (men and women combined). Questions on cigarette smoking intensity was not asked in Ireland. In the other 11 countries, 2,938 out of 3,050 current smokers provided information on the number of cigarettes smoked per day.\nbCountry weights were applied, which combined individual weights with an additional weighting factor, with each country contributing in proportion to its population aged 15 years or over, obtained by Eurostat.24\nAmong current smokers, 76.1% started smoking before age 18 years and 96.3% before 25 years. Mean age at starting regular smoking was 17.4 (SD, 4.5) overall, 17.1 (SD, 4.1) in males, and 17.8 (SD, 4.8) years in female smokers, and varied between 15.2 (SD, 4.2) in England and 19.1 years (SD, 4.2) in Romania (data not shown in tables).\nTable 3 provides the ORs for current versus non-smokers according to selected individual-level and country-specific characteristics. Smoking prevalence was higher in men than in women (OR 1.67; 95% CI, 1.53–1.82). Compared with subjects aged <45 years, ORs were 0.97 (95% CI, 0.89–1.07) for 45–64 years, and 0.31 (95% CI, 0.27–0.36) for ≥65 years. Compared with high level of education, the ORs were 1.39 (95% CI, 1.25–1.55) for medium and 1.32 (95% CI, 1.17–1.48) for low level of education (P for trend <0.001). Compared to those with a high household economic status, the ORs were 1.33 (95% CI, 1.15–1.54) and 2.05 (95% CI, 1.74–2.42) for those with an average and low economic status, respectively. The patterns observed for all the individual-level characteristics were consistent in men and women. Compared with Northern Europe, the ORs of smoking were 1.58 (95% CI, 0.98–2.56) in Western, 1.52 (95% CI, 0.93–2.49) in Southern and 1.57 (95% CI, 0.92–2.70) in Eastern European countries. Compared to Northern Europe, the OR in men was higher in Western Europe (OR 2.17; 95% CI, 1.35–3.48), Southern Europe (OR 1.77; 95% CI, 1.09–2.87) and Eastern Europe (OR 1.87; 95% CI, 1.10–3.18). Smoking prevalence showed no significant difference between countries with lower and higher GDP per capita, the ORs for less wealthy countries being 1.22 (95% CI, 0.82–1.81).\nCI, confidence interval; GDP, gross domestic product; OR, odds ratio.\naCountry weights were applied, which combined individual weights with an additional weighting factor, with each country contributing in proportion to its population aged 15 years or over, obtained by Eurostat.24\nbRaw sample size.\ncORs and their corresponding 95% CIs were estimated using multilevel logistic random-effects models, to take into account the heterogeneity between the 12 European countries. The study country effects were considered as random intercepts, and sex, age and level of education as adjusting variables. Estimates in bold are statistically significant at 0.05 level.\ndReference category.\neLevel of education was categorized as country-specific tertiles of schooling years. The sum does not add to the total because of a few missing values.\nfSelf-assessment of household (family) economic status relative to the country-specific population. This variable is missing for all German subjects, 79 Latvian and, 35 Romanian subjects.", "Approximately one out of four adults is a current smoker in Europe, including one out of three men and one out of five women. Smoking prevalence showed large differences across European countries, being highest in Eastern Europe (28%) and lowest in Northern Europe (20%).\nIn both men and women, smoking prevalence is highest among young adults aged 25–44 years. Almost all current smokers in Europe started smoking before aged 25 years. Therefore, this study confirms that teenagers and young adults are the most vulnerable group to start smoking3 and thus are the most important target population for tobacco control interventions aimed to decrease nicotine addiction initiation.\nSmoking prevalence among women, exceeding 15% in all the 12 countries, is in an advanced stage of the tobacco epidemic.3,25 However, notable differences were observed in the male-to-female smoking prevalence ratio, ranging from 1.04 in England to 2.58 in Latvia. This suggests that some countries (likely those with a higher male-to-female smoking prevalence ratio) are in an earlier phase compared with others.3,25\nMultilevel logistic analyses indicate that the level of education was inversely related to smoking prevalence in both men and women. Analysing other individual level and country specific indicators of SES, we also found that smoking prevalence was systematically higher in the sub-population with low SES. This finding was independent of sex, age, and education, as reported in a few other investigations.26 Our results are in broad agreement with current evidence,27,28 and underline the need for specific measures specifically focused on low socio-economic groups to reduce health inequalities from tobacco.\nIn general, our findings are consistent with those reported in the Global Health Observatory data repository of the WHO29 and those found in the 2017 Eurobarometer survey.8 The latter study shows a smoking prevalence for the EU of 26% overall, 30% in men, and 20% in women, thus very similar to our estimates. In Italy, the smoking prevalence found in TackSHS survey (19% overall, 23% in men, and 16% in women) appears slightly lower than that found in the 2016 national survey conducted on around 3,000 subjects (ie, 22% overall, 27% in men, and 17% in women).30 Some major discrepancies with current evidence from the scientific literature were noted particularly in Portugal, where we found a smoking prevalence greater than 30% for both men and women. Our estimates are in fact substantially higher than those reported before 2015 for daily smoking (lower than 20%).2,31,32 The different definition of current smoking and the different sampling methodology used are not sufficient to explain the substantial gap found in smoking prevalence. Moreover, the distribution of our Portuguese sample by sex and age group is very similar to the official distribution provided by Eurostat.24 Other adult smoking prevalence estimates for Portugal, including those from the 2010 PPACTE study (32% overall, 36% in men, and 29% in women),3 or the 2015 WHO estimates (32% in men and 14% in women),29 or the 2017 Eurobarometer survey (26% overall)8 are more similar—but still substantially lower—than our estimates.\nOverall, the smoking prevalence remained almost the same (from 27.2% to 26.4%) in the 11 countries that were included in both the TackSHS and PPACTE (2010) surveys, using similar methodologies and definitions. For France, Portugal, Romania, and Spain, we observed increases in smoking prevalence over the last decade but a decrease from 36% to 20% in Ireland.\nThe trends in smoking prevalence found in our data match those from the Eurobarometer surveys: the comparison between the 20178 and 200911 surveys indicated a decrease in smoking prevalence for all countries except for France and Portugal. Smoking prevalence estimates in Europe remain substantially higher as compared to those from other high-income countries, such as the United States, Canada, and Australia, where less than 15% of adults are current smokers.2,33\nThe limitations of the present study include some differences of sampling in the study countries. Notwithstanding, all samples selected were representative of their population in terms of age, sex, and geographic area and/or size of municipality. The age range of the participants was slightly different in some countries. In particular, in Greece the sample was limited to subjects aged 15–64 years, thus likely providing an over-estimation of the adult smoking prevalence. However, even assuming that the smoking prevalence in the elderly (representing in Greece 25% of the adult population24) was 50% that in younger adults—as observed in the other 11 countries—we would estimate a smoking prevalence around 30%, still similar to the provided estimate.\nThe strengths of our survey include the representativeness of the adult population of the 12 selected European countries, the use of the same questionnaire in the 12 countries sampled, developed by a group of experts on tobacco control, the standardized use of a single definition of current smokers, and the use of face-to-face interviews.\nOur data indicate that there are 112 million current smokers in the EU, including 65 million men and 47 million women. We confirm that the large majority of smokers started smoking when they were adolescents, and that lower SES is a major determinant of smoking habit in Europe. Tobacco control measures to decrease smoking initiation and to promote smoking cessation should, therefore, be targeted at young people and the sub-group with lower SES, respectively. Increasing tobacco prices, through the adoption of additional excise taxes, has been shown to be more effective among younger generations and in economically deprived populations.28,34 Therefore, price increase is still likely to be a particularly effective tobacco control strategy, particularly in those European countries where tobacco price is still relatively low and resources for tobacco control are scarce.35" ]
[ "intro", "methods", null, null, null, null, null, null, "results", "discussion" ]
[ "tobacco", "cigarette smoking", "smoking prevalence", "cross-sectional study", "survey", "Europe", "TackSHS" ]
INTRODUCTION: In 2008, the World Health Organization (WHO) introduced the MPOWER policy package, a series of technical measures and resources to assist country-level implementation of the WHO Framework Convention on Tobacco Control (FCTC), developed in response to the globalization of the tobacco epidemic. The first of these technical measures involves the monitoring of prevention policies and tobacco use.1 Several national surveillance systems are available to monitor smoking prevalence and trends in most countries.2 However, data from country-specific populations are poorly comparable, since they are not collected using a standardized study design—including sampling methods, mode of interviewing and questionnaires—which represents a prerequisite for valid comparisons of smoking prevalence and smoking patterns across different countries.3,4 To the best of our knowledge, the only standardized and representative investigations that systematically monitor smoking prevalence among adults in more than one European country, are the WHO Global Adult Tobacco Survey (GATS)5,6; the Survey of Health, Ageing and Retirement in Europe (SHARE)7; and the European Commission (EC) Special Eurobarometers.8–10 GATS covers three European Union (EU) member states (MS; ie, Greece, Poland, and Romania)5,6; SHARE is a longitudinal study, conducted in five waves between 2004 and 2013, collecting information on smoking habit among individuals aged 50 years and older from 20 European countries7; Eurobarometer is a representative survey conducted in all the 28 EU MS on approximately 1,000 face-to-face interviews per country, based on selected thematic studies. The most recent Eurobarometer surveys focusing on tobacco smoking indicated that the overall smoking prevalence in the EU had slightly decreased from 29% in 2009 to 26% in 2014, and remained stable until 2017.8,9,11 Among the other tobacco control projects, the International Tobacco Control Policy Evaluation Project (the ITC Project) includes longitudinal studies in 10 European countries. However, all these studies, which include samples not representative of the general population or smokers only, cannot provide smoking prevalence estimates.12 The above-mentioned European surveillance systems are important and useful tools; however, they are not always able to investigate in-depth key tobacco control measures and smoking determinants. Consequently, a few specific studies, mainly supported by the EC, have been conducted to analyse this issue.3,13–15 These include, the Pricing Policies and Control of Tobacco in Europe (PPACTE) survey, conducted in 2010 to investigate the effectiveness of pricing policies on tobacco control in Europe3,16,17; and the present survey, conducted within the TackSHS Project (http://tackshs.eu),18 aimed to improve understanding of exposure to second-hand tobacco smoke (SHS) and e-cigarette aerosol in Europe. In this paper we aimed to describe the TackSHS survey, a multi-country survey conducted in 2017–2018 in 12 EU MS, providing the main results on smoking prevalence and its correlates in Europe. METHODS: The TackSHS survey18 has been conducted in 12 strategically selected EU countries (Bulgaria, England, France, Germany, Greece, Ireland, Italy, Latvia, Poland, Portugal, Romania, and Spain), representing geographical, legislative and cultural variations across the EU. This cross-sectional study was coordinated by Istituto di Ricerche Farmacologiche Mario Negri IRCCS (Mario Negri Institute; Milan, Italy). The fieldwork was conducted by DOXA, the Italian branch of the Worldwide Independent Network/Gallup International Association, and its European partners. Sample selection In each country, we considered a sample of around 1,000 individuals aged 15 years and older (participants’ age was ≥16 in England, ≥18 in Ireland, 15–64 in Greece, and 15–74 years in Latvia), representative of the general population in terms of age, sex, habitat (ie, geographic area and/or size of municipality) and, in some countries, socio-economic characteristics. The survey included a total of 11,902 subjects. The whole population domain represented 79.2% of the whole EU population aged 15 years or over (432 million inhabitants). Sampling methods varied across countries: in Bulgaria, Greece, Italy, Latvia and Romania, a multi-stage sampling was used and respondents were randomly chosen to be representative of the population in terms of sex, age, and geographic area (in Italy, representativeness by socio-economic characteristics was also ensured); in Germany, Ireland, Poland, Portugal, and Spain, stratified random sampling was used, combining also quotas on sex and age and social class in Ireland; in England, United Kingdom, cluster sampling with quotas on age, sex, socio-economic status (SES), region, urban/rural dwelling was used to ensure national representativeness; in France, quotas on age, sex, region, and city size were used for the selection of survey participants. In each country, we considered a sample of around 1,000 individuals aged 15 years and older (participants’ age was ≥16 in England, ≥18 in Ireland, 15–64 in Greece, and 15–74 years in Latvia), representative of the general population in terms of age, sex, habitat (ie, geographic area and/or size of municipality) and, in some countries, socio-economic characteristics. The survey included a total of 11,902 subjects. The whole population domain represented 79.2% of the whole EU population aged 15 years or over (432 million inhabitants). Sampling methods varied across countries: in Bulgaria, Greece, Italy, Latvia and Romania, a multi-stage sampling was used and respondents were randomly chosen to be representative of the population in terms of sex, age, and geographic area (in Italy, representativeness by socio-economic characteristics was also ensured); in Germany, Ireland, Poland, Portugal, and Spain, stratified random sampling was used, combining also quotas on sex and age and social class in Ireland; in England, United Kingdom, cluster sampling with quotas on age, sex, socio-economic status (SES), region, urban/rural dwelling was used to ensure national representativeness; in France, quotas on age, sex, region, and city size were used for the selection of survey participants. Questionnaire A first draft of the survey questionnaire was developed in English language by the researchers from Mario Negri Institute, based on previous tobacco use and secondhand smoke exposure questionnaires.3,19–21 A specific commission with six experts among project partners was created to review the questionnaire and to produce a second version. The final version of the English questionnaire was then developed through the collaboration with all the partners of the TackSHS consortium (eMaterial 1). The questionnaire was translated into Italian language by Mario Negri Institute’s researchers, and into Bulgarian, French, German, Greek, Latvian, Russian, Polish, Portuguese, Romanian, and Spanish by DOXA partners. The translated versions of the questionnaire were revised and validated by bilingual (ie, local language and English language) tobacco control experts. The questionnaire contains four sections: socio-economic and demographic characteristics; cigarette smoking habit and e-cigarette use; exposure to secondhand smoke (SHS) and e-cigarette aerosol, plus cigarette smoking and e-cigarette use, in different indoor and outdoor places; and attitudes and perceptions on smoke-free regulations and awareness of SHS harmful effects. A first draft of the survey questionnaire was developed in English language by the researchers from Mario Negri Institute, based on previous tobacco use and secondhand smoke exposure questionnaires.3,19–21 A specific commission with six experts among project partners was created to review the questionnaire and to produce a second version. The final version of the English questionnaire was then developed through the collaboration with all the partners of the TackSHS consortium (eMaterial 1). The questionnaire was translated into Italian language by Mario Negri Institute’s researchers, and into Bulgarian, French, German, Greek, Latvian, Russian, Polish, Portuguese, Romanian, and Spanish by DOXA partners. The translated versions of the questionnaire were revised and validated by bilingual (ie, local language and English language) tobacco control experts. The questionnaire contains four sections: socio-economic and demographic characteristics; cigarette smoking habit and e-cigarette use; exposure to secondhand smoke (SHS) and e-cigarette aerosol, plus cigarette smoking and e-cigarette use, in different indoor and outdoor places; and attitudes and perceptions on smoke-free regulations and awareness of SHS harmful effects. Fieldwork Ad hoc trained interviewers conducted a face-to-face, computer-assisted personal interviewing (CAPI) survey in all the 12 European countries. A test fieldwork was conducted by DOXA in Italy in November 2016 among 1,059 participants. The fieldwork in the other 11 countries was conducted between June 2017 (in Romania) and October 2018 (in Latvia). Table 1 provides information on survey characteristics for each country, including fieldwork period, sample size, age range and sampling methods. CAPI, computer assisted personal interview; SES, socio-economic status. aRaw sample size. bThis period does not include the time of the survey conducted in Italy (ie, Nov–Dec 2016) since Italy was the pilot country. The participants from Italy are included in all the analyses. Ad hoc trained interviewers conducted a face-to-face, computer-assisted personal interviewing (CAPI) survey in all the 12 European countries. A test fieldwork was conducted by DOXA in Italy in November 2016 among 1,059 participants. The fieldwork in the other 11 countries was conducted between June 2017 (in Romania) and October 2018 (in Latvia). Table 1 provides information on survey characteristics for each country, including fieldwork period, sample size, age range and sampling methods. CAPI, computer assisted personal interview; SES, socio-economic status. aRaw sample size. bThis period does not include the time of the survey conducted in Italy (ie, Nov–Dec 2016) since Italy was the pilot country. The participants from Italy are included in all the analyses. Variables and definitions Demographic characteristics included age (categorized as <25, 25–44, 45–64, ≥65 years) and sex (men and women). Level of education was categorized as country-specific tertiles of schooling years. Self-assessment of household family economic status relative to the country-specific population was classified into three levels (higher than average, average, and lower than average). Never smokers were defined as participants who had never smoked or had smoked less than 100 cigarettes in their lifetime. Smokers were defined as participants who reported smoking at least 100 cigarettes (including roll-your-own cigarettes) during their lifetime. Current smokers were smokers who reported smoking at the time they participated in this survey, while ex-smokers were smokers who stopped smoking by the time they participated in this survey.3,21 Smokers also provided information on age of starting smoking and the number of cigarettes smoked per day. For each country, we calculated the male-to-female smoking prevalence ratio as the current smoking prevalence in men divided by that in women. The 12 countries were classified into Northern (England, Ireland, and Latvia), Western (France and Germany), Southern (Italy, Greece, Portugal, and Spain), and Eastern (Bulgaria, Poland, and Romania), following United Nation M49 standard,22 and halved by their gross domestic product (GDP) per capita23 into <25.000 € (Latvia, Romania, Poland, Portugal, Greece, and Bulgaria) and ≥25.000 € (England, France, Germany, Ireland, Italy, and Spain). Demographic characteristics included age (categorized as <25, 25–44, 45–64, ≥65 years) and sex (men and women). Level of education was categorized as country-specific tertiles of schooling years. Self-assessment of household family economic status relative to the country-specific population was classified into three levels (higher than average, average, and lower than average). Never smokers were defined as participants who had never smoked or had smoked less than 100 cigarettes in their lifetime. Smokers were defined as participants who reported smoking at least 100 cigarettes (including roll-your-own cigarettes) during their lifetime. Current smokers were smokers who reported smoking at the time they participated in this survey, while ex-smokers were smokers who stopped smoking by the time they participated in this survey.3,21 Smokers also provided information on age of starting smoking and the number of cigarettes smoked per day. For each country, we calculated the male-to-female smoking prevalence ratio as the current smoking prevalence in men divided by that in women. The 12 countries were classified into Northern (England, Ireland, and Latvia), Western (France and Germany), Southern (Italy, Greece, Portugal, and Spain), and Eastern (Bulgaria, Poland, and Romania), following United Nation M49 standard,22 and halved by their gross domestic product (GDP) per capita23 into <25.000 € (Latvia, Romania, Poland, Portugal, Greece, and Bulgaria) and ≥25.000 € (England, France, Germany, Ireland, Italy, and Spain). Ethical issues We obtained study approval from a local Ethics Committee in each of the 12 countries (eTable 1). Details on the survey characteristics were provided to all participants by suitably qualified professionals through a structured information sheet, and all the participants provided their consents by ticking the electronic field in the CAPI questionnaire. The study protocol has been registered in ClinicalTrials.gov (ID: NCT02928536). The procedures for recruitment of subjects, data collection, storage, and protection (based on anonymous identification code) are in accordance with the current country-specific legislation. This was ratified and signed by DOXA and each of its European partners. We obtained study approval from a local Ethics Committee in each of the 12 countries (eTable 1). Details on the survey characteristics were provided to all participants by suitably qualified professionals through a structured information sheet, and all the participants provided their consents by ticking the electronic field in the CAPI questionnaire. The study protocol has been registered in ClinicalTrials.gov (ID: NCT02928536). The procedures for recruitment of subjects, data collection, storage, and protection (based on anonymous identification code) are in accordance with the current country-specific legislation. This was ratified and signed by DOXA and each of its European partners. Statistical analysis Statistical weights were used to generate representative estimates of the general population of each country (individual weight). To calculate results for the entire sample, we applied “country weights”, which combined individual weights with an additional weighting factor, with each country contributing in proportion to its population aged 15 years or over, obtained by Eurostat.24 We considered descriptive statistics including relative frequency (%) and its corresponding 95% confidence intervals (CIs) for categorical variables, and mean and standard deviation (SD) for continuous variables. ORs and their corresponding 95% CIs were estimated using multilevel logistic random-effects models, to take into account the heterogeneity between the 12 European countries. The study country effects were considered as random intercepts, and sex, age, and level of education as adjusting variables. Country weights were used in all logistic regression models. Analyses were performed with SAS 9.4 (SAS Institute; Cary, NC, USA). Statistical weights were used to generate representative estimates of the general population of each country (individual weight). To calculate results for the entire sample, we applied “country weights”, which combined individual weights with an additional weighting factor, with each country contributing in proportion to its population aged 15 years or over, obtained by Eurostat.24 We considered descriptive statistics including relative frequency (%) and its corresponding 95% confidence intervals (CIs) for categorical variables, and mean and standard deviation (SD) for continuous variables. ORs and their corresponding 95% CIs were estimated using multilevel logistic random-effects models, to take into account the heterogeneity between the 12 European countries. The study country effects were considered as random intercepts, and sex, age, and level of education as adjusting variables. Country weights were used in all logistic regression models. Analyses were performed with SAS 9.4 (SAS Institute; Cary, NC, USA). Sample selection: In each country, we considered a sample of around 1,000 individuals aged 15 years and older (participants’ age was ≥16 in England, ≥18 in Ireland, 15–64 in Greece, and 15–74 years in Latvia), representative of the general population in terms of age, sex, habitat (ie, geographic area and/or size of municipality) and, in some countries, socio-economic characteristics. The survey included a total of 11,902 subjects. The whole population domain represented 79.2% of the whole EU population aged 15 years or over (432 million inhabitants). Sampling methods varied across countries: in Bulgaria, Greece, Italy, Latvia and Romania, a multi-stage sampling was used and respondents were randomly chosen to be representative of the population in terms of sex, age, and geographic area (in Italy, representativeness by socio-economic characteristics was also ensured); in Germany, Ireland, Poland, Portugal, and Spain, stratified random sampling was used, combining also quotas on sex and age and social class in Ireland; in England, United Kingdom, cluster sampling with quotas on age, sex, socio-economic status (SES), region, urban/rural dwelling was used to ensure national representativeness; in France, quotas on age, sex, region, and city size were used for the selection of survey participants. Questionnaire: A first draft of the survey questionnaire was developed in English language by the researchers from Mario Negri Institute, based on previous tobacco use and secondhand smoke exposure questionnaires.3,19–21 A specific commission with six experts among project partners was created to review the questionnaire and to produce a second version. The final version of the English questionnaire was then developed through the collaboration with all the partners of the TackSHS consortium (eMaterial 1). The questionnaire was translated into Italian language by Mario Negri Institute’s researchers, and into Bulgarian, French, German, Greek, Latvian, Russian, Polish, Portuguese, Romanian, and Spanish by DOXA partners. The translated versions of the questionnaire were revised and validated by bilingual (ie, local language and English language) tobacco control experts. The questionnaire contains four sections: socio-economic and demographic characteristics; cigarette smoking habit and e-cigarette use; exposure to secondhand smoke (SHS) and e-cigarette aerosol, plus cigarette smoking and e-cigarette use, in different indoor and outdoor places; and attitudes and perceptions on smoke-free regulations and awareness of SHS harmful effects. Fieldwork: Ad hoc trained interviewers conducted a face-to-face, computer-assisted personal interviewing (CAPI) survey in all the 12 European countries. A test fieldwork was conducted by DOXA in Italy in November 2016 among 1,059 participants. The fieldwork in the other 11 countries was conducted between June 2017 (in Romania) and October 2018 (in Latvia). Table 1 provides information on survey characteristics for each country, including fieldwork period, sample size, age range and sampling methods. CAPI, computer assisted personal interview; SES, socio-economic status. aRaw sample size. bThis period does not include the time of the survey conducted in Italy (ie, Nov–Dec 2016) since Italy was the pilot country. The participants from Italy are included in all the analyses. Variables and definitions: Demographic characteristics included age (categorized as <25, 25–44, 45–64, ≥65 years) and sex (men and women). Level of education was categorized as country-specific tertiles of schooling years. Self-assessment of household family economic status relative to the country-specific population was classified into three levels (higher than average, average, and lower than average). Never smokers were defined as participants who had never smoked or had smoked less than 100 cigarettes in their lifetime. Smokers were defined as participants who reported smoking at least 100 cigarettes (including roll-your-own cigarettes) during their lifetime. Current smokers were smokers who reported smoking at the time they participated in this survey, while ex-smokers were smokers who stopped smoking by the time they participated in this survey.3,21 Smokers also provided information on age of starting smoking and the number of cigarettes smoked per day. For each country, we calculated the male-to-female smoking prevalence ratio as the current smoking prevalence in men divided by that in women. The 12 countries were classified into Northern (England, Ireland, and Latvia), Western (France and Germany), Southern (Italy, Greece, Portugal, and Spain), and Eastern (Bulgaria, Poland, and Romania), following United Nation M49 standard,22 and halved by their gross domestic product (GDP) per capita23 into <25.000 € (Latvia, Romania, Poland, Portugal, Greece, and Bulgaria) and ≥25.000 € (England, France, Germany, Ireland, Italy, and Spain). Ethical issues: We obtained study approval from a local Ethics Committee in each of the 12 countries (eTable 1). Details on the survey characteristics were provided to all participants by suitably qualified professionals through a structured information sheet, and all the participants provided their consents by ticking the electronic field in the CAPI questionnaire. The study protocol has been registered in ClinicalTrials.gov (ID: NCT02928536). The procedures for recruitment of subjects, data collection, storage, and protection (based on anonymous identification code) are in accordance with the current country-specific legislation. This was ratified and signed by DOXA and each of its European partners. Statistical analysis: Statistical weights were used to generate representative estimates of the general population of each country (individual weight). To calculate results for the entire sample, we applied “country weights”, which combined individual weights with an additional weighting factor, with each country contributing in proportion to its population aged 15 years or over, obtained by Eurostat.24 We considered descriptive statistics including relative frequency (%) and its corresponding 95% confidence intervals (CIs) for categorical variables, and mean and standard deviation (SD) for continuous variables. ORs and their corresponding 95% CIs were estimated using multilevel logistic random-effects models, to take into account the heterogeneity between the 12 European countries. The study country effects were considered as random intercepts, and sex, age, and level of education as adjusting variables. Country weights were used in all logistic regression models. Analyses were performed with SAS 9.4 (SAS Institute; Cary, NC, USA). RESULTS: Among 11,902 participants, 57.6% (95% CI, 56.8–58.5%) described themselves as never smokers (49.5% in men and 65.1% in women), 16.5% (95% CI, 15.8–17.2%) as ex-smokers (19.5% in men and 13.7% in women) and 25.9% (95% CI, 25.1–26.7%) as current smokers (31.0% in men and 21.2% in women; Table 2). The smoking prevalence was below 20% in Italy (18.9%), Ireland (19.6%), and England (19.8%), and over 35% in Bulgaria (37.0%) and Portugal (36.8%). Smoking prevalence in men ranged from 20.3% in England to 42.0% in Portugal, and in women from 15.3% in Germany to 34.4% in Bulgaria. Average smoking intensity was 14.7 cigarettes per day (SD, 8.8), ranging from 12.4 (SD, 7.5) in Italy to 17.1 (SD, 15.8) in Greece. M/F, male to female; SD, standard deviation. aSmoking intensity, including both manufactured and roll-your-own cigarettes among current smokers (men and women combined). Questions on cigarette smoking intensity was not asked in Ireland. In the other 11 countries, 2,938 out of 3,050 current smokers provided information on the number of cigarettes smoked per day. bCountry weights were applied, which combined individual weights with an additional weighting factor, with each country contributing in proportion to its population aged 15 years or over, obtained by Eurostat.24 Among current smokers, 76.1% started smoking before age 18 years and 96.3% before 25 years. Mean age at starting regular smoking was 17.4 (SD, 4.5) overall, 17.1 (SD, 4.1) in males, and 17.8 (SD, 4.8) years in female smokers, and varied between 15.2 (SD, 4.2) in England and 19.1 years (SD, 4.2) in Romania (data not shown in tables). Table 3 provides the ORs for current versus non-smokers according to selected individual-level and country-specific characteristics. Smoking prevalence was higher in men than in women (OR 1.67; 95% CI, 1.53–1.82). Compared with subjects aged <45 years, ORs were 0.97 (95% CI, 0.89–1.07) for 45–64 years, and 0.31 (95% CI, 0.27–0.36) for ≥65 years. Compared with high level of education, the ORs were 1.39 (95% CI, 1.25–1.55) for medium and 1.32 (95% CI, 1.17–1.48) for low level of education (P for trend <0.001). Compared to those with a high household economic status, the ORs were 1.33 (95% CI, 1.15–1.54) and 2.05 (95% CI, 1.74–2.42) for those with an average and low economic status, respectively. The patterns observed for all the individual-level characteristics were consistent in men and women. Compared with Northern Europe, the ORs of smoking were 1.58 (95% CI, 0.98–2.56) in Western, 1.52 (95% CI, 0.93–2.49) in Southern and 1.57 (95% CI, 0.92–2.70) in Eastern European countries. Compared to Northern Europe, the OR in men was higher in Western Europe (OR 2.17; 95% CI, 1.35–3.48), Southern Europe (OR 1.77; 95% CI, 1.09–2.87) and Eastern Europe (OR 1.87; 95% CI, 1.10–3.18). Smoking prevalence showed no significant difference between countries with lower and higher GDP per capita, the ORs for less wealthy countries being 1.22 (95% CI, 0.82–1.81). CI, confidence interval; GDP, gross domestic product; OR, odds ratio. aCountry weights were applied, which combined individual weights with an additional weighting factor, with each country contributing in proportion to its population aged 15 years or over, obtained by Eurostat.24 bRaw sample size. cORs and their corresponding 95% CIs were estimated using multilevel logistic random-effects models, to take into account the heterogeneity between the 12 European countries. The study country effects were considered as random intercepts, and sex, age and level of education as adjusting variables. Estimates in bold are statistically significant at 0.05 level. dReference category. eLevel of education was categorized as country-specific tertiles of schooling years. The sum does not add to the total because of a few missing values. fSelf-assessment of household (family) economic status relative to the country-specific population. This variable is missing for all German subjects, 79 Latvian and, 35 Romanian subjects. DISCUSSION: Approximately one out of four adults is a current smoker in Europe, including one out of three men and one out of five women. Smoking prevalence showed large differences across European countries, being highest in Eastern Europe (28%) and lowest in Northern Europe (20%). In both men and women, smoking prevalence is highest among young adults aged 25–44 years. Almost all current smokers in Europe started smoking before aged 25 years. Therefore, this study confirms that teenagers and young adults are the most vulnerable group to start smoking3 and thus are the most important target population for tobacco control interventions aimed to decrease nicotine addiction initiation. Smoking prevalence among women, exceeding 15% in all the 12 countries, is in an advanced stage of the tobacco epidemic.3,25 However, notable differences were observed in the male-to-female smoking prevalence ratio, ranging from 1.04 in England to 2.58 in Latvia. This suggests that some countries (likely those with a higher male-to-female smoking prevalence ratio) are in an earlier phase compared with others.3,25 Multilevel logistic analyses indicate that the level of education was inversely related to smoking prevalence in both men and women. Analysing other individual level and country specific indicators of SES, we also found that smoking prevalence was systematically higher in the sub-population with low SES. This finding was independent of sex, age, and education, as reported in a few other investigations.26 Our results are in broad agreement with current evidence,27,28 and underline the need for specific measures specifically focused on low socio-economic groups to reduce health inequalities from tobacco. In general, our findings are consistent with those reported in the Global Health Observatory data repository of the WHO29 and those found in the 2017 Eurobarometer survey.8 The latter study shows a smoking prevalence for the EU of 26% overall, 30% in men, and 20% in women, thus very similar to our estimates. In Italy, the smoking prevalence found in TackSHS survey (19% overall, 23% in men, and 16% in women) appears slightly lower than that found in the 2016 national survey conducted on around 3,000 subjects (ie, 22% overall, 27% in men, and 17% in women).30 Some major discrepancies with current evidence from the scientific literature were noted particularly in Portugal, where we found a smoking prevalence greater than 30% for both men and women. Our estimates are in fact substantially higher than those reported before 2015 for daily smoking (lower than 20%).2,31,32 The different definition of current smoking and the different sampling methodology used are not sufficient to explain the substantial gap found in smoking prevalence. Moreover, the distribution of our Portuguese sample by sex and age group is very similar to the official distribution provided by Eurostat.24 Other adult smoking prevalence estimates for Portugal, including those from the 2010 PPACTE study (32% overall, 36% in men, and 29% in women),3 or the 2015 WHO estimates (32% in men and 14% in women),29 or the 2017 Eurobarometer survey (26% overall)8 are more similar—but still substantially lower—than our estimates. Overall, the smoking prevalence remained almost the same (from 27.2% to 26.4%) in the 11 countries that were included in both the TackSHS and PPACTE (2010) surveys, using similar methodologies and definitions. For France, Portugal, Romania, and Spain, we observed increases in smoking prevalence over the last decade but a decrease from 36% to 20% in Ireland. The trends in smoking prevalence found in our data match those from the Eurobarometer surveys: the comparison between the 20178 and 200911 surveys indicated a decrease in smoking prevalence for all countries except for France and Portugal. Smoking prevalence estimates in Europe remain substantially higher as compared to those from other high-income countries, such as the United States, Canada, and Australia, where less than 15% of adults are current smokers.2,33 The limitations of the present study include some differences of sampling in the study countries. Notwithstanding, all samples selected were representative of their population in terms of age, sex, and geographic area and/or size of municipality. The age range of the participants was slightly different in some countries. In particular, in Greece the sample was limited to subjects aged 15–64 years, thus likely providing an over-estimation of the adult smoking prevalence. However, even assuming that the smoking prevalence in the elderly (representing in Greece 25% of the adult population24) was 50% that in younger adults—as observed in the other 11 countries—we would estimate a smoking prevalence around 30%, still similar to the provided estimate. The strengths of our survey include the representativeness of the adult population of the 12 selected European countries, the use of the same questionnaire in the 12 countries sampled, developed by a group of experts on tobacco control, the standardized use of a single definition of current smokers, and the use of face-to-face interviews. Our data indicate that there are 112 million current smokers in the EU, including 65 million men and 47 million women. We confirm that the large majority of smokers started smoking when they were adolescents, and that lower SES is a major determinant of smoking habit in Europe. Tobacco control measures to decrease smoking initiation and to promote smoking cessation should, therefore, be targeted at young people and the sub-group with lower SES, respectively. Increasing tobacco prices, through the adoption of additional excise taxes, has been shown to be more effective among younger generations and in economically deprived populations.28,34 Therefore, price increase is still likely to be a particularly effective tobacco control strategy, particularly in those European countries where tobacco price is still relatively low and resources for tobacco control are scarce.35
Background: Population data on tobacco use and its determinants require continuous monitoring and careful inter-country comparison. We aimed to provide the most up-to-date estimates on tobacco smoking from a large cross-sectional survey, conducted in selected European countries. Methods: Within the TackSHS Project, a face-to-face survey on smoking was conducted in 2017-2018 in 12 countries: Bulgaria, England, France, Germany, Greece, Ireland, Italy, Latvia, Poland, Portugal, Romania, and Spain, representing around 80% of the 432 million European Union (EU) adult population. In each country, a representative sample of around 1,000 subjects aged 15 years and older was interviewed, for a total of 11,902 participants. Results: Overall, 25.9% of participants were current smokers (31.0% of men and 21.2% of women, P < 0.001), while 16.5% were former smokers. Smoking prevalence ranged from 18.9% in Italy to 37.0% in Bulgaria. It decreased with increasing age (compared to <45, multivariable odds ratio [OR] for ≥65 year, 0.31; 95% confidence interval [CI], 0.27-0.36), level of education (OR for low vs high, 1.32; 95% CI, 1.17-1.48) and self-rated household economic level (OR for low vs high, 2.05; 95% CI, 1.74-2.42). The same patterns were found in both sexes. Conclusions: These smoking prevalence estimates represent the most up-to-date evidence in Europe. From them, it can be derived that there are more than 112 million current smokers in the EU-28. Lower socio-economic status is a major determinant of smoking habit in both sexes.
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6,316
341
[ 258, 211, 152, 296, 118, 180 ]
10
[ "smoking", "country", "countries", "survey", "age", "smoking prevalence", "prevalence", "smokers", "years", "population" ]
[ "countries estimate smoking", "tobacco control measures", "european countries tobacco", "current smokers europe", "monitor smoking prevalence" ]
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[CONTENT] tobacco | cigarette smoking | smoking prevalence | cross-sectional study | survey | Europe | TackSHS [SUMMARY]
[CONTENT] tobacco | cigarette smoking | smoking prevalence | cross-sectional study | survey | Europe | TackSHS [SUMMARY]
[CONTENT] tobacco | cigarette smoking | smoking prevalence | cross-sectional study | survey | Europe | TackSHS [SUMMARY]
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[CONTENT] tobacco | cigarette smoking | smoking prevalence | cross-sectional study | survey | Europe | TackSHS [SUMMARY]
null
[CONTENT] Adolescent | Adult | Aged | Cross-Sectional Studies | Europe | Female | Health Surveys | Humans | Male | Middle Aged | Prevalence | Smokers | Smoking | Socioeconomic Factors | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Aged | Cross-Sectional Studies | Europe | Female | Health Surveys | Humans | Male | Middle Aged | Prevalence | Smokers | Smoking | Socioeconomic Factors | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Aged | Cross-Sectional Studies | Europe | Female | Health Surveys | Humans | Male | Middle Aged | Prevalence | Smokers | Smoking | Socioeconomic Factors | Young Adult [SUMMARY]
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[CONTENT] Adolescent | Adult | Aged | Cross-Sectional Studies | Europe | Female | Health Surveys | Humans | Male | Middle Aged | Prevalence | Smokers | Smoking | Socioeconomic Factors | Young Adult [SUMMARY]
null
[CONTENT] countries estimate smoking | tobacco control measures | european countries tobacco | current smokers europe | monitor smoking prevalence [SUMMARY]
[CONTENT] countries estimate smoking | tobacco control measures | european countries tobacco | current smokers europe | monitor smoking prevalence [SUMMARY]
[CONTENT] countries estimate smoking | tobacco control measures | european countries tobacco | current smokers europe | monitor smoking prevalence [SUMMARY]
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[CONTENT] countries estimate smoking | tobacco control measures | european countries tobacco | current smokers europe | monitor smoking prevalence [SUMMARY]
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[CONTENT] smoking | country | countries | survey | age | smoking prevalence | prevalence | smokers | years | population [SUMMARY]
[CONTENT] smoking | country | countries | survey | age | smoking prevalence | prevalence | smokers | years | population [SUMMARY]
[CONTENT] smoking | country | countries | survey | age | smoking prevalence | prevalence | smokers | years | population [SUMMARY]
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[CONTENT] smoking | country | countries | survey | age | smoking prevalence | prevalence | smokers | years | population [SUMMARY]
null
[CONTENT] tobacco | smoking | studies | control | conducted | smoking prevalence | prevalence | eu | tobacco control | survey [SUMMARY]
[CONTENT] questionnaire | age | country | italy | smoking | smokers | survey | participants | sex | population [SUMMARY]
[CONTENT] ci | 95 ci | 95 | sd | men | 17 | years | smoking | smokers | women [SUMMARY]
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[CONTENT] smoking | country | smokers | survey | smoking prevalence | prevalence | age | tobacco | countries | 95 [SUMMARY]
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[CONTENT] ||| European [SUMMARY]
[CONTENT] 2017-2018 | 12 | Bulgaria | England | France | Germany | Greece | Ireland | Italy | Latvia | Poland | Portugal | Romania | Spain | around 80% | the 432 million European Union | EU ||| around 1,000 | 15 years | 11,902 [SUMMARY]
[CONTENT] 25.9% | 31.0% | 21.2% | P < 0.001 | 16.5% ||| 18.9% | Italy | 37.0% | Bulgaria ||| ||| ≥65 year | 0.31 | 95% | CI] | 0.27 | 1.32 | 95% | CI | 1.17-1.48 | 2.05 | 95% | CI | 1.74 | 2.42 ||| [SUMMARY]
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[CONTENT] ||| European ||| 2017-2018 | 12 | Bulgaria | England | France | Germany | Greece | Ireland | Italy | Latvia | Poland | Portugal | Romania | Spain | around 80% | the 432 million European Union | EU ||| around 1,000 | 15 years | 11,902 ||| 25.9% | 31.0% | 21.2% | P < 0.001 | 16.5% ||| 18.9% | Italy | 37.0% | Bulgaria ||| ||| ≥65 year | 0.31 | 95% | CI] | 0.27 | 1.32 | 95% | CI | 1.17-1.48 | 2.05 | 95% | CI | 1.74 | 2.42 ||| ||| Europe ||| more than 112 million ||| [SUMMARY]
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Diagnostic utility of, and influence of tobacco usage and genetic predisposition on, immunoglobulin A, rheumatoid factor and anti-citrullinated peptide auto-antibodies in South African rheumatoid arthritis patients.
30602956
The immunoglobulin A isotypes of anti-cyclic citrullinated peptide antibodies (ACPA) and rheumatoid factor (RF) are associated with disease severity and progression in Caucasian rheumatoid arthritis (RA) patients, as well as with genetic predisposition and tobacco use.
BACKGROUND
RF-IgA and ACPA-IgA were determined in a cohort of predominantly black South African RA patients (n=75) in relation to serodiagnostic and prognostic potential, as well as tobacco use and genetic predisposition. Healthy control subjects were included to determine sensitivity, specificity and predictive values.ACPA-IgG/IgA and RF-IgA were determined by enzyme immunoassay and hs-CRP and cRF by nephelometry. Cotinine levels were determined by ELISA.
METHODS
The frequencies of ACPA-IgA and RF-IgA were 31% and 88% respectively compared to 88% for both types of traditional autoantibody procedures. ACPA-IgA was significantly higher (p=0.007) in patients with short disease duration, while linear regression analysis revealed a positive relationship with baseline disease activity scores. Levels of ACPA-IgG and ACPA-IgA were significantly higher in tobacco users who carried the HLA shared epitope.
RESULTS
Although lacking in serodiagnostic superiority over cRF and ACPA-IgG, inclusion of RF-IgA and ACPA-IgA in autoantibody panels may provide insights into disease pathogenesis, interactions between tobacco usage and HLA genotype in the production of potentially disease-triggering ACPA-IgA antibodies.
CONCLUSION
[ "Adolescent", "Aged", "Anti-Citrullinated Protein Antibodies", "Arthritis, Rheumatoid", "Autoantibodies", "Case-Control Studies", "Cohort Studies", "Female", "Genetic Predisposition to Disease", "Humans", "Immunoenzyme Techniques", "Immunoglobulin A", "Immunoglobulin G", "Male", "Middle Aged", "Nephelometry and Turbidimetry", "Predictive Value of Tests", "Prevalence", "Rheumatoid Factor", "Sensitivity and Specificity", "Severity of Illness Index", "Smoking", "South Africa", "Tobacco Use", "Young Adult" ]
6306983
Introduction
Rheumatoid arthritis (RA) is a crippling disease characterized by chronic inflammation of the articular joints of patients leading to cartilage destruction and disease progression. The incidence is around 1–3% of the general population with a significantly higher prevalence in females. The inclusion of measurement of rheumatoid factor (RF) and anti-citrullinated peptide (ACPA) antibodies, generally composite RF (cRF) and ACPA-IgG, in the 2010 ACR/EULAR RA classification criteria is an indication of the sero-diagnostic utility of measurement of these auto-antibodies in RA1 and is well established worldwide2–5. The profile and complex interplay of various RA-associated auto-antibodies and their different isotypes is influenced by the ethnic, genetic and environmental factors, with RF isotypes having been shown to be associated with a poor prognosis in Chinese and Indian, but not in Malay RF patients6, while in Caucasians, ACPA-IgA have been shown to be associated with severe disease and radiographic progression11,12. However, less is known about the diagnostic and prognostic potential of measurement of ACPA and RF auto-antibodies of the IgA isotype in other ethnicities with RA, as well as their associations with prominent disease risk factors, specifically tobacco use (i.e. cigarettes and snuff) and positivity for the human leucocyte antigen - shared epitope (HLA-SE). These issues have been addressed in the current study in which the levels and prevalence ACPA-IgA and RF-IgA auto-antibodies have been compared with those of ACPA-IgG and cRF in a cohort of disease-modifying anti-rheumatic drug (DMARD)-naïve, black, predominantly female, South African patients with RA, and a control group of healthy individuals, the findings of which may be broadly applicable to other populations.Additional aims included investigation of the relationships of these IgA auto-antibodies with: i) disease severity as measured by the simplified disease activity score (SDAI); and ii) genetic predisposition and tobacco use. As mentioned above these potentially important issues have not been investigated previously in our geographic region.
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Results
Demographics The demographics of the group of RA patients, as well as seropositivity rates for the biomarkers and SE-related data are summarized in Table 1. Patient demographics, disease indices, tobacco use, HLA-SE categories and autoantibody positivity rates in the group of RA patients The sensitivities, specificities, positive predictive values (PPVs), negative predictive values (NPVs), prevalence rates and Likelihood Ratios for cRF, ACPA-IgG, RF-IgA and ACPA-IgA in the group of RA patients are shown in Table 2. These demonstrate that cRF and ACPA are the best overall predictors of disease. ACPA-IgA antibodies, on the other hand, have the best specificity and PPV of the group of biomarkers, but show lesser sensitivity and NPV in comparison with cRF and ACPA. Likelihood ratios for cRF and ACPA rank the highest with cRF at 9.32. Importantly, RF-IgA and ACPA-IgA were inferior to the traditional cRF and ACPA-IgG sero-diagnostic biomarkers recommended by the ACR 2010. Sensitivities, Specificities, PPVs, NPVs and Likelihood Ratios for the various auto antibodies Highest results achieved are in BOLD The overall combination of reactivities and cross-reactivities of all the auto-antibodies are demonstrated in a Venn diagram as Figure 1. Venn diagram of positive reactivity patterns of ACPA-IgG, cRF, ACPA-IgA RF-IgA individually as well as cross-reactivity patterns between these biomarkers. The Venn diagram indicates that 31% (n=23) of RA patients had cRF and ACPA autoantibodies of both serotypes (IgG and IgA), while 48% (n=36) were positive for ACPA-IgG, cRF and RF-IgA, but not for ACPA-IgA. The healthy control subjects had median values (iqr) of 16 (53) IU/ml and 2 (3) IU/ml for RF-IgA and ACPA-IgA, respectively. RF-IgA seropositivity amongst the healthy control subjects was 41% (95% CI: 19% – 67%), while ACPA-IgA demonstrated a positivity rate of 18% (95% CI: 5%–46%). The demographics of the group of RA patients, as well as seropositivity rates for the biomarkers and SE-related data are summarized in Table 1. Patient demographics, disease indices, tobacco use, HLA-SE categories and autoantibody positivity rates in the group of RA patients The sensitivities, specificities, positive predictive values (PPVs), negative predictive values (NPVs), prevalence rates and Likelihood Ratios for cRF, ACPA-IgG, RF-IgA and ACPA-IgA in the group of RA patients are shown in Table 2. These demonstrate that cRF and ACPA are the best overall predictors of disease. ACPA-IgA antibodies, on the other hand, have the best specificity and PPV of the group of biomarkers, but show lesser sensitivity and NPV in comparison with cRF and ACPA. Likelihood ratios for cRF and ACPA rank the highest with cRF at 9.32. Importantly, RF-IgA and ACPA-IgA were inferior to the traditional cRF and ACPA-IgG sero-diagnostic biomarkers recommended by the ACR 2010. Sensitivities, Specificities, PPVs, NPVs and Likelihood Ratios for the various auto antibodies Highest results achieved are in BOLD The overall combination of reactivities and cross-reactivities of all the auto-antibodies are demonstrated in a Venn diagram as Figure 1. Venn diagram of positive reactivity patterns of ACPA-IgG, cRF, ACPA-IgA RF-IgA individually as well as cross-reactivity patterns between these biomarkers. The Venn diagram indicates that 31% (n=23) of RA patients had cRF and ACPA autoantibodies of both serotypes (IgG and IgA), while 48% (n=36) were positive for ACPA-IgG, cRF and RF-IgA, but not for ACPA-IgA. The healthy control subjects had median values (iqr) of 16 (53) IU/ml and 2 (3) IU/ml for RF-IgA and ACPA-IgA, respectively. RF-IgA seropositivity amongst the healthy control subjects was 41% (95% CI: 19% – 67%), while ACPA-IgA demonstrated a positivity rate of 18% (95% CI: 5%–46%). Disease severity (SDAI scores & disease duration at baseline) Duration since onset of symptoms in months, SDAI scores and the presence of erosions at presentation were used as markers of disease severity. At baseline, 25% (n=19) of patients were scored as MDA and 75% (n=56) as HDA, while no patients were in remission or LDA. Linear regression analysis revealed a statistically significant positive relationship between ACPA-IgA and SDAI at baseline (p=0.030, R2=0.0646, β=0.3, α=6.1, CI: 0.03 – 0.58). Duration since onset of symptoms in months, SDAI scores and the presence of erosions at presentation were used as markers of disease severity. At baseline, 25% (n=19) of patients were scored as MDA and 75% (n=56) as HDA, while no patients were in remission or LDA. Linear regression analysis revealed a statistically significant positive relationship between ACPA-IgA and SDAI at baseline (p=0.030, R2=0.0646, β=0.3, α=6.1, CI: 0.03 – 0.58). Risk factors Tobacco use Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months. Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months. HLA-SE Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles. As shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA. Median values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX). Values were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD Where m is the mean of x, and SD is the standard deviation of x). As shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use. Median ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco. Median ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX). Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles. As shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA. Median values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX). Values were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD Where m is the mean of x, and SD is the standard deviation of x). As shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use. Median ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco. Median ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX). Tobacco use Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months. Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months. HLA-SE Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles. As shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA. Median values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX). Values were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD Where m is the mean of x, and SD is the standard deviation of x). As shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use. Median ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco. Median ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX). Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles. As shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA. Median values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX). Values were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD Where m is the mean of x, and SD is the standard deviation of x). As shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use. Median ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco. Median ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX).
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[ "Expression of results and statistical analysis", "Demographics", "Disease severity (SDAI scores & disease duration at baseline)", "Risk factors", "Tobacco use", "HLA-SE" ]
[ "Results are expressed as the median values with interquartile ranges. Descriptive and inferential statistics techniques were used in the analyses. Tests for association of contingency tables were performed using two-tailed Chi2 tests. One-way ANOVA was performed using the Dunn and Kruskal-Wallis tests for non-parametric data for more than 2 groups, or the Mann-Whitney test when 2 groups were compared with Bonferroni correction where applicable. Correlation coefficients were derived from non-parametric Spearman's rank correlation test and correlation matrices using the Sidak's method p value correction for multiple testing. Statistical significance was determined by p-value <0.05 and confidence intervals of 95%. The analyses were done using STATA13.\nThe raw data is stored electronically for 15 years as per ethical requirement and is accessible by request to the corresponding author.", "The demographics of the group of RA patients, as well as seropositivity rates for the biomarkers and SE-related data are summarized in Table 1.\nPatient demographics, disease indices, tobacco use, HLA-SE categories and autoantibody positivity rates in the group of RA patients\nThe sensitivities, specificities, positive predictive values (PPVs), negative predictive values (NPVs), prevalence rates and Likelihood Ratios for cRF, ACPA-IgG, RF-IgA and ACPA-IgA in the group of RA patients are shown in Table 2. These demonstrate that cRF and ACPA are the best overall predictors of disease. ACPA-IgA antibodies, on the other hand, have the best specificity and PPV of the group of biomarkers, but show lesser sensitivity and NPV in comparison with cRF and ACPA. Likelihood ratios for cRF and ACPA rank the highest with cRF at 9.32. Importantly, RF-IgA and ACPA-IgA were inferior to the traditional cRF and ACPA-IgG sero-diagnostic biomarkers recommended by the ACR 2010.\nSensitivities, Specificities, PPVs, NPVs and Likelihood Ratios for the various auto antibodies\nHighest results achieved are in BOLD\nThe overall combination of reactivities and cross-reactivities of all the auto-antibodies are demonstrated in a Venn diagram as Figure 1.\nVenn diagram of positive reactivity patterns of ACPA-IgG, cRF, ACPA-IgA RF-IgA individually as well as cross-reactivity patterns between these biomarkers.\nThe Venn diagram indicates that 31% (n=23) of RA patients had cRF and ACPA autoantibodies of both serotypes (IgG and IgA), while 48% (n=36) were positive for ACPA-IgG, cRF and RF-IgA, but not for ACPA-IgA.\nThe healthy control subjects had median values (iqr) of 16 (53) IU/ml and 2 (3) IU/ml for RF-IgA and ACPA-IgA, respectively. RF-IgA seropositivity amongst the healthy control subjects was 41% (95% CI: 19% – 67%), while ACPA-IgA demonstrated a positivity rate of 18% (95% CI: 5%–46%).", "Duration since onset of symptoms in months, SDAI scores and the presence of erosions at presentation were used as markers of disease severity. At baseline, 25% (n=19) of patients were scored as MDA and 75% (n=56) as HDA, while no patients were in remission or LDA. Linear regression analysis revealed a statistically significant positive relationship between ACPA-IgA and SDAI at baseline (p=0.030, R2=0.0646, β=0.3, α=6.1, CI: 0.03 – 0.58).", " Tobacco use Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months.\nTobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months.\n HLA-SE Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles.\nAs shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA.\nMedian values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX).\nValues were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD\nWhere m is the mean of x, and SD is the standard deviation of x).\nAs shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use.\nMedian ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco.\nMedian ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX).\nTable 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles.\nAs shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA.\nMedian values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX).\nValues were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD\nWhere m is the mean of x, and SD is the standard deviation of x).\nAs shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use.\nMedian ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco.\nMedian ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX).", "Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months.", "Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles.\nAs shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA.\nMedian values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX).\nValues were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD\nWhere m is the mean of x, and SD is the standard deviation of x).\nAs shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use.\nMedian ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco.\nMedian ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX)." ]
[ null, null, null, null, null, null ]
[ "Introduction", "Patients & methods", "Expression of results and statistical analysis", "Results", "Demographics", "Disease severity (SDAI scores & disease duration at baseline)", "Risk factors", "Tobacco use", "HLA-SE", "Discussion" ]
[ "Rheumatoid arthritis (RA) is a crippling disease characterized by chronic inflammation of the articular joints of patients leading to cartilage destruction and disease progression. The incidence is around 1–3% of the general population with a significantly higher prevalence in females. The inclusion of measurement of rheumatoid factor (RF) and anti-citrullinated peptide (ACPA) antibodies, generally composite RF (cRF) and ACPA-IgG, in the 2010 ACR/EULAR RA classification criteria is an indication of the sero-diagnostic utility of measurement of these auto-antibodies in RA1 and is well established worldwide2–5.\nThe profile and complex interplay of various RA-associated auto-antibodies and their different isotypes is influenced by the ethnic, genetic and environmental factors, with RF isotypes having been shown to be associated with a poor prognosis in Chinese and Indian, but not in Malay RF patients6, while in Caucasians, ACPA-IgA have been shown to be associated with severe disease and radiographic progression11,12. However, less is known about the diagnostic and prognostic potential of measurement of ACPA and RF auto-antibodies of the IgA isotype in other ethnicities with RA, as well as their associations with prominent disease risk factors, specifically tobacco use (i.e. cigarettes and snuff) and positivity for the human leucocyte antigen - shared epitope (HLA-SE).\nThese issues have been addressed in the current study in which the levels and prevalence ACPA-IgA and RF-IgA auto-antibodies have been compared with those of ACPA-IgG and cRF in a cohort of disease-modifying anti-rheumatic drug (DMARD)-naïve, black, predominantly female, South African patients with RA, and a control group of healthy individuals, the findings of which may be broadly applicable to other populations.Additional aims included investigation of the relationships of these IgA auto-antibodies with: i) disease severity as measured by the simplified disease activity score (SDAI); and ii) genetic predisposition and tobacco use. As mentioned above these potentially important issues have not been investigated previously in our geographic region.", "The study was approved by the Research Ethics Committees of the Faculties of Health Sciences of the Universities of the Witwatersrand and Pretoria and conformed to good clinical and laboratory practice and the Helsinki declaration. Patients were recruited from the Chris Hani Baragwanath Academic hospital (CHBAH, Soweto, South Africa) and Steve Biko Academic Hospital (SBAH, Pretoria, South Africa) Rheumatology Out-patient clinics. Ethics certificate reference numbers: 09/2017 (UP) and M150513 (WITS).\nInformed consent, signed by each patient, was explained and monitored by the attending physician. Although the informed consent document was available only in English, a translator was present at both the CHBAH and SBAH Rheumatology clinics to ensure that patients fully understood the nature of their participation in the study. No financial compensation was offered, and it was explained to the participants that the results of this study may lead to better understanding of their disease. Healthy controls where anonymously sourced from the South African Blood Transfusion Service.\nThis study was a retrospective, cross-sectional study the primary objective of which was to determine the utility of measurement of immunoglobin A (IgA) rheumatoid factor (RF) and anti-cyclic citrullinated peptide antibodies (ACPA) in sero-diagnosis and prognosis of rheumatoid arthritis (RA), as well as their relationships with known risk factors and roles as predictive biomarkers of disease severity in black South African patients with RA. To our knowledge, the study is the first of its type undertaken in sub-Saharan Africa. The study cohort consisted of a sub-group (n=75) of black African patients that formed part of a previously described cohort7, all diagnosed with RA according to the 1987 ACR RA criteria, all of whom were DMARD-naïve at baseline. Methods for serological measurement cRF and ACPA-IgG have been described previously for this cohort of RA patients7–9.\nTwenty healthy individuals were used as controls, matched in so far as possible for age, ethnicity and gender to determine if commercial stated cut-off values for RF and ACPA IgA are valid, to assist in calculating specificity, sensitivity and positive/ negative predictors and cotinine levels to determine tobacco use cut-offs.\nVenous blood was collected in 2x5ml test tubes, 1 with added clotting factor and 1 containing the anti-coagulant, EDTA. The serum tubes were left to clot and centrifuged thereafter for 10 minutes at 2000 × g. The serum was removed, aliquoted and stored at −20°C until analyzed. The EDTA anti-coagulated blood was used the extract whole genomic DNA using the Maxwell Promega automated DNA extraction instrument and Promega Maxwell® 16 Tissue DNA purification kits (Promega Corporation, Madison, USA).\nClinical disease activity was recorded using the standard classification for SDAI; remission = ≤ 3, low disease activity (LDA) = >3 − ≤11, mild disease activity (MDA) = >11 - ≤26 and high disease activity (HDA) >2612.\nEliA ACPA-IgA and RF-IgA were measured using fluorescence enzyme immunoassay (FEIA) on the automated Phadia 250 platform (Phadia AB, Uppsala, Sweden). Cut-off values to determine positivity for the individual auto-antibodies were as follows: >10 units/millilitre (U/ml) serum for EliA ACPA-IgG and ACPA-IgA, >20 IU/ml for EliA RF IgA, >15 U/ml for cRF. High-sensitivity serum C-reactive protein (CRP) concentrations were measured by latex-enhanced laser nephelometry (Siemens South Africa, Midrand, South Africa) and the results expressed as micrograms (µg)/ml.\nCotinine was determined using an ELISA kit (Calbiotech Inc., Spring Valley, CA, USA). The results are expressed as nanograms (ng/ml). A cut-off above 10 ng/ml was taken as indicative of active tobacco use as recommended by the product insert.\nThe molecular procedures used for HLA-DRB1 typing and HLA-SE categorization have been described previously8. Briefly, purity and concentrations of the extracted DNA were determined, and molecular analysis carried out using a high-resolution rSSO typing technique utilising Luminex® bead technology for HLA-DRB1 alleles (LABType HD Class II DRB1 Typing Test, One-Lambda, Thermo Fisher Scientific, USA) and alleles assigned using One Lambda Fusion software. The HLA-SE has been classified and validated according to the RAA amino acid sequence at positions 72–74 of the third hypervariable region of the HLA-DRB1 gene and assigned SS if both HLA-DRB1 alleles express the RAA motif, or SX if only one HLA-DRB1 allele expresses the RAA motif. Further classification of the SE-sequence beyond the RAA amino acid sequences at positions 72 to 74 have a modulatory effect (positions 70 and 71). Glutamine (Q) or arginine (R) at position 70 of the 3rd hypervariable region of the HLA-DRB1 gene conferred a high risk of severe disease, while aspartic acid (D) is associated with low risk. Lysine (K) at position 71 was indicative of the highest risk, while arginine (R) alanine (A) or glutamic acid (E) were classified as low risk10.\n Expression of results and statistical analysis Results are expressed as the median values with interquartile ranges. Descriptive and inferential statistics techniques were used in the analyses. Tests for association of contingency tables were performed using two-tailed Chi2 tests. One-way ANOVA was performed using the Dunn and Kruskal-Wallis tests for non-parametric data for more than 2 groups, or the Mann-Whitney test when 2 groups were compared with Bonferroni correction where applicable. Correlation coefficients were derived from non-parametric Spearman's rank correlation test and correlation matrices using the Sidak's method p value correction for multiple testing. Statistical significance was determined by p-value <0.05 and confidence intervals of 95%. The analyses were done using STATA13.\nThe raw data is stored electronically for 15 years as per ethical requirement and is accessible by request to the corresponding author.\nResults are expressed as the median values with interquartile ranges. Descriptive and inferential statistics techniques were used in the analyses. Tests for association of contingency tables were performed using two-tailed Chi2 tests. One-way ANOVA was performed using the Dunn and Kruskal-Wallis tests for non-parametric data for more than 2 groups, or the Mann-Whitney test when 2 groups were compared with Bonferroni correction where applicable. Correlation coefficients were derived from non-parametric Spearman's rank correlation test and correlation matrices using the Sidak's method p value correction for multiple testing. Statistical significance was determined by p-value <0.05 and confidence intervals of 95%. The analyses were done using STATA13.\nThe raw data is stored electronically for 15 years as per ethical requirement and is accessible by request to the corresponding author.", "Results are expressed as the median values with interquartile ranges. Descriptive and inferential statistics techniques were used in the analyses. Tests for association of contingency tables were performed using two-tailed Chi2 tests. One-way ANOVA was performed using the Dunn and Kruskal-Wallis tests for non-parametric data for more than 2 groups, or the Mann-Whitney test when 2 groups were compared with Bonferroni correction where applicable. Correlation coefficients were derived from non-parametric Spearman's rank correlation test and correlation matrices using the Sidak's method p value correction for multiple testing. Statistical significance was determined by p-value <0.05 and confidence intervals of 95%. The analyses were done using STATA13.\nThe raw data is stored electronically for 15 years as per ethical requirement and is accessible by request to the corresponding author.", " Demographics The demographics of the group of RA patients, as well as seropositivity rates for the biomarkers and SE-related data are summarized in Table 1.\nPatient demographics, disease indices, tobacco use, HLA-SE categories and autoantibody positivity rates in the group of RA patients\nThe sensitivities, specificities, positive predictive values (PPVs), negative predictive values (NPVs), prevalence rates and Likelihood Ratios for cRF, ACPA-IgG, RF-IgA and ACPA-IgA in the group of RA patients are shown in Table 2. These demonstrate that cRF and ACPA are the best overall predictors of disease. ACPA-IgA antibodies, on the other hand, have the best specificity and PPV of the group of biomarkers, but show lesser sensitivity and NPV in comparison with cRF and ACPA. Likelihood ratios for cRF and ACPA rank the highest with cRF at 9.32. Importantly, RF-IgA and ACPA-IgA were inferior to the traditional cRF and ACPA-IgG sero-diagnostic biomarkers recommended by the ACR 2010.\nSensitivities, Specificities, PPVs, NPVs and Likelihood Ratios for the various auto antibodies\nHighest results achieved are in BOLD\nThe overall combination of reactivities and cross-reactivities of all the auto-antibodies are demonstrated in a Venn diagram as Figure 1.\nVenn diagram of positive reactivity patterns of ACPA-IgG, cRF, ACPA-IgA RF-IgA individually as well as cross-reactivity patterns between these biomarkers.\nThe Venn diagram indicates that 31% (n=23) of RA patients had cRF and ACPA autoantibodies of both serotypes (IgG and IgA), while 48% (n=36) were positive for ACPA-IgG, cRF and RF-IgA, but not for ACPA-IgA.\nThe healthy control subjects had median values (iqr) of 16 (53) IU/ml and 2 (3) IU/ml for RF-IgA and ACPA-IgA, respectively. RF-IgA seropositivity amongst the healthy control subjects was 41% (95% CI: 19% – 67%), while ACPA-IgA demonstrated a positivity rate of 18% (95% CI: 5%–46%).\nThe demographics of the group of RA patients, as well as seropositivity rates for the biomarkers and SE-related data are summarized in Table 1.\nPatient demographics, disease indices, tobacco use, HLA-SE categories and autoantibody positivity rates in the group of RA patients\nThe sensitivities, specificities, positive predictive values (PPVs), negative predictive values (NPVs), prevalence rates and Likelihood Ratios for cRF, ACPA-IgG, RF-IgA and ACPA-IgA in the group of RA patients are shown in Table 2. These demonstrate that cRF and ACPA are the best overall predictors of disease. ACPA-IgA antibodies, on the other hand, have the best specificity and PPV of the group of biomarkers, but show lesser sensitivity and NPV in comparison with cRF and ACPA. Likelihood ratios for cRF and ACPA rank the highest with cRF at 9.32. Importantly, RF-IgA and ACPA-IgA were inferior to the traditional cRF and ACPA-IgG sero-diagnostic biomarkers recommended by the ACR 2010.\nSensitivities, Specificities, PPVs, NPVs and Likelihood Ratios for the various auto antibodies\nHighest results achieved are in BOLD\nThe overall combination of reactivities and cross-reactivities of all the auto-antibodies are demonstrated in a Venn diagram as Figure 1.\nVenn diagram of positive reactivity patterns of ACPA-IgG, cRF, ACPA-IgA RF-IgA individually as well as cross-reactivity patterns between these biomarkers.\nThe Venn diagram indicates that 31% (n=23) of RA patients had cRF and ACPA autoantibodies of both serotypes (IgG and IgA), while 48% (n=36) were positive for ACPA-IgG, cRF and RF-IgA, but not for ACPA-IgA.\nThe healthy control subjects had median values (iqr) of 16 (53) IU/ml and 2 (3) IU/ml for RF-IgA and ACPA-IgA, respectively. RF-IgA seropositivity amongst the healthy control subjects was 41% (95% CI: 19% – 67%), while ACPA-IgA demonstrated a positivity rate of 18% (95% CI: 5%–46%).\n Disease severity (SDAI scores & disease duration at baseline) Duration since onset of symptoms in months, SDAI scores and the presence of erosions at presentation were used as markers of disease severity. At baseline, 25% (n=19) of patients were scored as MDA and 75% (n=56) as HDA, while no patients were in remission or LDA. Linear regression analysis revealed a statistically significant positive relationship between ACPA-IgA and SDAI at baseline (p=0.030, R2=0.0646, β=0.3, α=6.1, CI: 0.03 – 0.58).\nDuration since onset of symptoms in months, SDAI scores and the presence of erosions at presentation were used as markers of disease severity. At baseline, 25% (n=19) of patients were scored as MDA and 75% (n=56) as HDA, while no patients were in remission or LDA. Linear regression analysis revealed a statistically significant positive relationship between ACPA-IgA and SDAI at baseline (p=0.030, R2=0.0646, β=0.3, α=6.1, CI: 0.03 – 0.58).\n Risk factors Tobacco use Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months.\nTobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months.\n HLA-SE Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles.\nAs shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA.\nMedian values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX).\nValues were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD\nWhere m is the mean of x, and SD is the standard deviation of x).\nAs shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use.\nMedian ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco.\nMedian ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX).\nTable 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles.\nAs shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA.\nMedian values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX).\nValues were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD\nWhere m is the mean of x, and SD is the standard deviation of x).\nAs shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use.\nMedian ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco.\nMedian ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX).\n Tobacco use Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months.\nTobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months.\n HLA-SE Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles.\nAs shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA.\nMedian values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX).\nValues were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD\nWhere m is the mean of x, and SD is the standard deviation of x).\nAs shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use.\nMedian ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco.\nMedian ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX).\nTable 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles.\nAs shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA.\nMedian values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX).\nValues were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD\nWhere m is the mean of x, and SD is the standard deviation of x).\nAs shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use.\nMedian ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco.\nMedian ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX).", "The demographics of the group of RA patients, as well as seropositivity rates for the biomarkers and SE-related data are summarized in Table 1.\nPatient demographics, disease indices, tobacco use, HLA-SE categories and autoantibody positivity rates in the group of RA patients\nThe sensitivities, specificities, positive predictive values (PPVs), negative predictive values (NPVs), prevalence rates and Likelihood Ratios for cRF, ACPA-IgG, RF-IgA and ACPA-IgA in the group of RA patients are shown in Table 2. These demonstrate that cRF and ACPA are the best overall predictors of disease. ACPA-IgA antibodies, on the other hand, have the best specificity and PPV of the group of biomarkers, but show lesser sensitivity and NPV in comparison with cRF and ACPA. Likelihood ratios for cRF and ACPA rank the highest with cRF at 9.32. Importantly, RF-IgA and ACPA-IgA were inferior to the traditional cRF and ACPA-IgG sero-diagnostic biomarkers recommended by the ACR 2010.\nSensitivities, Specificities, PPVs, NPVs and Likelihood Ratios for the various auto antibodies\nHighest results achieved are in BOLD\nThe overall combination of reactivities and cross-reactivities of all the auto-antibodies are demonstrated in a Venn diagram as Figure 1.\nVenn diagram of positive reactivity patterns of ACPA-IgG, cRF, ACPA-IgA RF-IgA individually as well as cross-reactivity patterns between these biomarkers.\nThe Venn diagram indicates that 31% (n=23) of RA patients had cRF and ACPA autoantibodies of both serotypes (IgG and IgA), while 48% (n=36) were positive for ACPA-IgG, cRF and RF-IgA, but not for ACPA-IgA.\nThe healthy control subjects had median values (iqr) of 16 (53) IU/ml and 2 (3) IU/ml for RF-IgA and ACPA-IgA, respectively. RF-IgA seropositivity amongst the healthy control subjects was 41% (95% CI: 19% – 67%), while ACPA-IgA demonstrated a positivity rate of 18% (95% CI: 5%–46%).", "Duration since onset of symptoms in months, SDAI scores and the presence of erosions at presentation were used as markers of disease severity. At baseline, 25% (n=19) of patients were scored as MDA and 75% (n=56) as HDA, while no patients were in remission or LDA. Linear regression analysis revealed a statistically significant positive relationship between ACPA-IgA and SDAI at baseline (p=0.030, R2=0.0646, β=0.3, α=6.1, CI: 0.03 – 0.58).", " Tobacco use Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months.\nTobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months.\n HLA-SE Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles.\nAs shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA.\nMedian values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX).\nValues were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD\nWhere m is the mean of x, and SD is the standard deviation of x).\nAs shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use.\nMedian ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco.\nMedian ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX).\nTable 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles.\nAs shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA.\nMedian values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX).\nValues were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD\nWhere m is the mean of x, and SD is the standard deviation of x).\nAs shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use.\nMedian ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco.\nMedian ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX).", "Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months.", "Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles.\nAs shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA.\nMedian values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX).\nValues were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD\nWhere m is the mean of x, and SD is the standard deviation of x).\nAs shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use.\nMedian ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco.\nMedian ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX).", "The current study demonstrates a lack of diagnostic or predictive value of measurement of RF-IgA relative to that of cRF in this study group of DMARD-naïve, African RA patients. Measurement of ACPA-IgA, on the other hand, demonstrated an extremely high specificity and positive predictive value, as well as a positive association with disease activity, but was notably lacking in both sensitivity and negative predictive value in comparison with both ACPA-IgG and cRF. Assuming that these observations can be extrapolated to other population groups, they appear to argue against the clinical utility of measurement of either RF-IgA or ACPA-IgA as diagnostic adjuncts to cRF and ACPA11,12.\nInterestingly, however, tobacco usage, which was associated with higher disease activity on presentation, was also associated with higher levels of ACPA-IgA, specifically in those RA patients categorized as having disease duration of <12 months. Higher levels of ACPA-IgA prior to disease onset may be a reflection of epitope spreading and isotype expansion, a phenomenon well described in RA13 In addition, when comparing RA tobacco users with RA non-tobacco users, a statistically significant, positive association between smoking, SE genotype and serum concentrations of ACPA-IgA was also evident14–16. These observations are of possible significance in relation to the role of smoking and HLA genotype in the immunopathogenesis of RA, seemingly strengthening the link with smoking-related protein citrullination in the airway mucosa17–19, and possibly the gastrointestinal mucosa20,21, resulting in interactions of citrullinated proteins with SE-expressing T lymphocytes, leading to the production of potentially pathogenic ACPA-IgA auto-antibodies13. In this context, it is, however, noteworthy, that tobacco usage in the current cohort of RA patients is predominantly inhalation of powdered tobacco (snuff), as opposed to active smoking, with both types of tobacco usage resulting in equivalent circulating concentrations of cotinine22, suggesting, that like active smoking, usage of smokeless tobacco products, particularly those that are inhaled, may also predispose to development of RA.\nNotwithstanding the relatively small number of patients, which is a limitation of this study, it is, however, noteworthy that similar sized or smaller cohort studies have been published in a number of peer-reviewed journals as illustrated in the systematic review article by Peter Taylor et al.22 The findings of our study do, however, appear to indicate the lack of superiority of RF-IgA and ACPA-IgA over cRF and ACPA-IgG in the sero-diagnosis of RA. On the other hand, the finding of associations of ACPA-IgA with tobacco usage and HLA genotype indicates that this augmentative combination of risk factors for development and severity of RA in Black South Africans is similar to that described for their counterparts of Caucasian origin. Clearly, usage of any type of tobacco product is to be discouraged in those identified as being at high risk for development of RA, or who are in the early stages of the disease." ]
[ "intro", "subjects|methods", null, "results", null, null, null, null, null, "discussion" ]
[ "Tobacco usage", "genetic predisposition", "immunoglobulin A", "anti-citrullinated peptide", "South Africa", "rheumatoid arthritis patients" ]
Introduction: Rheumatoid arthritis (RA) is a crippling disease characterized by chronic inflammation of the articular joints of patients leading to cartilage destruction and disease progression. The incidence is around 1–3% of the general population with a significantly higher prevalence in females. The inclusion of measurement of rheumatoid factor (RF) and anti-citrullinated peptide (ACPA) antibodies, generally composite RF (cRF) and ACPA-IgG, in the 2010 ACR/EULAR RA classification criteria is an indication of the sero-diagnostic utility of measurement of these auto-antibodies in RA1 and is well established worldwide2–5. The profile and complex interplay of various RA-associated auto-antibodies and their different isotypes is influenced by the ethnic, genetic and environmental factors, with RF isotypes having been shown to be associated with a poor prognosis in Chinese and Indian, but not in Malay RF patients6, while in Caucasians, ACPA-IgA have been shown to be associated with severe disease and radiographic progression11,12. However, less is known about the diagnostic and prognostic potential of measurement of ACPA and RF auto-antibodies of the IgA isotype in other ethnicities with RA, as well as their associations with prominent disease risk factors, specifically tobacco use (i.e. cigarettes and snuff) and positivity for the human leucocyte antigen - shared epitope (HLA-SE). These issues have been addressed in the current study in which the levels and prevalence ACPA-IgA and RF-IgA auto-antibodies have been compared with those of ACPA-IgG and cRF in a cohort of disease-modifying anti-rheumatic drug (DMARD)-naïve, black, predominantly female, South African patients with RA, and a control group of healthy individuals, the findings of which may be broadly applicable to other populations.Additional aims included investigation of the relationships of these IgA auto-antibodies with: i) disease severity as measured by the simplified disease activity score (SDAI); and ii) genetic predisposition and tobacco use. As mentioned above these potentially important issues have not been investigated previously in our geographic region. Patients & methods: The study was approved by the Research Ethics Committees of the Faculties of Health Sciences of the Universities of the Witwatersrand and Pretoria and conformed to good clinical and laboratory practice and the Helsinki declaration. Patients were recruited from the Chris Hani Baragwanath Academic hospital (CHBAH, Soweto, South Africa) and Steve Biko Academic Hospital (SBAH, Pretoria, South Africa) Rheumatology Out-patient clinics. Ethics certificate reference numbers: 09/2017 (UP) and M150513 (WITS). Informed consent, signed by each patient, was explained and monitored by the attending physician. Although the informed consent document was available only in English, a translator was present at both the CHBAH and SBAH Rheumatology clinics to ensure that patients fully understood the nature of their participation in the study. No financial compensation was offered, and it was explained to the participants that the results of this study may lead to better understanding of their disease. Healthy controls where anonymously sourced from the South African Blood Transfusion Service. This study was a retrospective, cross-sectional study the primary objective of which was to determine the utility of measurement of immunoglobin A (IgA) rheumatoid factor (RF) and anti-cyclic citrullinated peptide antibodies (ACPA) in sero-diagnosis and prognosis of rheumatoid arthritis (RA), as well as their relationships with known risk factors and roles as predictive biomarkers of disease severity in black South African patients with RA. To our knowledge, the study is the first of its type undertaken in sub-Saharan Africa. The study cohort consisted of a sub-group (n=75) of black African patients that formed part of a previously described cohort7, all diagnosed with RA according to the 1987 ACR RA criteria, all of whom were DMARD-naïve at baseline. Methods for serological measurement cRF and ACPA-IgG have been described previously for this cohort of RA patients7–9. Twenty healthy individuals were used as controls, matched in so far as possible for age, ethnicity and gender to determine if commercial stated cut-off values for RF and ACPA IgA are valid, to assist in calculating specificity, sensitivity and positive/ negative predictors and cotinine levels to determine tobacco use cut-offs. Venous blood was collected in 2x5ml test tubes, 1 with added clotting factor and 1 containing the anti-coagulant, EDTA. The serum tubes were left to clot and centrifuged thereafter for 10 minutes at 2000 × g. The serum was removed, aliquoted and stored at −20°C until analyzed. The EDTA anti-coagulated blood was used the extract whole genomic DNA using the Maxwell Promega automated DNA extraction instrument and Promega Maxwell® 16 Tissue DNA purification kits (Promega Corporation, Madison, USA). Clinical disease activity was recorded using the standard classification for SDAI; remission = ≤ 3, low disease activity (LDA) = >3 − ≤11, mild disease activity (MDA) = >11 - ≤26 and high disease activity (HDA) >2612. EliA ACPA-IgA and RF-IgA were measured using fluorescence enzyme immunoassay (FEIA) on the automated Phadia 250 platform (Phadia AB, Uppsala, Sweden). Cut-off values to determine positivity for the individual auto-antibodies were as follows: >10 units/millilitre (U/ml) serum for EliA ACPA-IgG and ACPA-IgA, >20 IU/ml for EliA RF IgA, >15 U/ml for cRF. High-sensitivity serum C-reactive protein (CRP) concentrations were measured by latex-enhanced laser nephelometry (Siemens South Africa, Midrand, South Africa) and the results expressed as micrograms (µg)/ml. Cotinine was determined using an ELISA kit (Calbiotech Inc., Spring Valley, CA, USA). The results are expressed as nanograms (ng/ml). A cut-off above 10 ng/ml was taken as indicative of active tobacco use as recommended by the product insert. The molecular procedures used for HLA-DRB1 typing and HLA-SE categorization have been described previously8. Briefly, purity and concentrations of the extracted DNA were determined, and molecular analysis carried out using a high-resolution rSSO typing technique utilising Luminex® bead technology for HLA-DRB1 alleles (LABType HD Class II DRB1 Typing Test, One-Lambda, Thermo Fisher Scientific, USA) and alleles assigned using One Lambda Fusion software. The HLA-SE has been classified and validated according to the RAA amino acid sequence at positions 72–74 of the third hypervariable region of the HLA-DRB1 gene and assigned SS if both HLA-DRB1 alleles express the RAA motif, or SX if only one HLA-DRB1 allele expresses the RAA motif. Further classification of the SE-sequence beyond the RAA amino acid sequences at positions 72 to 74 have a modulatory effect (positions 70 and 71). Glutamine (Q) or arginine (R) at position 70 of the 3rd hypervariable region of the HLA-DRB1 gene conferred a high risk of severe disease, while aspartic acid (D) is associated with low risk. Lysine (K) at position 71 was indicative of the highest risk, while arginine (R) alanine (A) or glutamic acid (E) were classified as low risk10. Expression of results and statistical analysis Results are expressed as the median values with interquartile ranges. Descriptive and inferential statistics techniques were used in the analyses. Tests for association of contingency tables were performed using two-tailed Chi2 tests. One-way ANOVA was performed using the Dunn and Kruskal-Wallis tests for non-parametric data for more than 2 groups, or the Mann-Whitney test when 2 groups were compared with Bonferroni correction where applicable. Correlation coefficients were derived from non-parametric Spearman's rank correlation test and correlation matrices using the Sidak's method p value correction for multiple testing. Statistical significance was determined by p-value <0.05 and confidence intervals of 95%. The analyses were done using STATA13. The raw data is stored electronically for 15 years as per ethical requirement and is accessible by request to the corresponding author. Results are expressed as the median values with interquartile ranges. Descriptive and inferential statistics techniques were used in the analyses. Tests for association of contingency tables were performed using two-tailed Chi2 tests. One-way ANOVA was performed using the Dunn and Kruskal-Wallis tests for non-parametric data for more than 2 groups, or the Mann-Whitney test when 2 groups were compared with Bonferroni correction where applicable. Correlation coefficients were derived from non-parametric Spearman's rank correlation test and correlation matrices using the Sidak's method p value correction for multiple testing. Statistical significance was determined by p-value <0.05 and confidence intervals of 95%. The analyses were done using STATA13. The raw data is stored electronically for 15 years as per ethical requirement and is accessible by request to the corresponding author. Expression of results and statistical analysis: Results are expressed as the median values with interquartile ranges. Descriptive and inferential statistics techniques were used in the analyses. Tests for association of contingency tables were performed using two-tailed Chi2 tests. One-way ANOVA was performed using the Dunn and Kruskal-Wallis tests for non-parametric data for more than 2 groups, or the Mann-Whitney test when 2 groups were compared with Bonferroni correction where applicable. Correlation coefficients were derived from non-parametric Spearman's rank correlation test and correlation matrices using the Sidak's method p value correction for multiple testing. Statistical significance was determined by p-value <0.05 and confidence intervals of 95%. The analyses were done using STATA13. The raw data is stored electronically for 15 years as per ethical requirement and is accessible by request to the corresponding author. Results: Demographics The demographics of the group of RA patients, as well as seropositivity rates for the biomarkers and SE-related data are summarized in Table 1. Patient demographics, disease indices, tobacco use, HLA-SE categories and autoantibody positivity rates in the group of RA patients The sensitivities, specificities, positive predictive values (PPVs), negative predictive values (NPVs), prevalence rates and Likelihood Ratios for cRF, ACPA-IgG, RF-IgA and ACPA-IgA in the group of RA patients are shown in Table 2. These demonstrate that cRF and ACPA are the best overall predictors of disease. ACPA-IgA antibodies, on the other hand, have the best specificity and PPV of the group of biomarkers, but show lesser sensitivity and NPV in comparison with cRF and ACPA. Likelihood ratios for cRF and ACPA rank the highest with cRF at 9.32. Importantly, RF-IgA and ACPA-IgA were inferior to the traditional cRF and ACPA-IgG sero-diagnostic biomarkers recommended by the ACR 2010. Sensitivities, Specificities, PPVs, NPVs and Likelihood Ratios for the various auto antibodies Highest results achieved are in BOLD The overall combination of reactivities and cross-reactivities of all the auto-antibodies are demonstrated in a Venn diagram as Figure 1. Venn diagram of positive reactivity patterns of ACPA-IgG, cRF, ACPA-IgA RF-IgA individually as well as cross-reactivity patterns between these biomarkers. The Venn diagram indicates that 31% (n=23) of RA patients had cRF and ACPA autoantibodies of both serotypes (IgG and IgA), while 48% (n=36) were positive for ACPA-IgG, cRF and RF-IgA, but not for ACPA-IgA. The healthy control subjects had median values (iqr) of 16 (53) IU/ml and 2 (3) IU/ml for RF-IgA and ACPA-IgA, respectively. RF-IgA seropositivity amongst the healthy control subjects was 41% (95% CI: 19% – 67%), while ACPA-IgA demonstrated a positivity rate of 18% (95% CI: 5%–46%). The demographics of the group of RA patients, as well as seropositivity rates for the biomarkers and SE-related data are summarized in Table 1. Patient demographics, disease indices, tobacco use, HLA-SE categories and autoantibody positivity rates in the group of RA patients The sensitivities, specificities, positive predictive values (PPVs), negative predictive values (NPVs), prevalence rates and Likelihood Ratios for cRF, ACPA-IgG, RF-IgA and ACPA-IgA in the group of RA patients are shown in Table 2. These demonstrate that cRF and ACPA are the best overall predictors of disease. ACPA-IgA antibodies, on the other hand, have the best specificity and PPV of the group of biomarkers, but show lesser sensitivity and NPV in comparison with cRF and ACPA. Likelihood ratios for cRF and ACPA rank the highest with cRF at 9.32. Importantly, RF-IgA and ACPA-IgA were inferior to the traditional cRF and ACPA-IgG sero-diagnostic biomarkers recommended by the ACR 2010. Sensitivities, Specificities, PPVs, NPVs and Likelihood Ratios for the various auto antibodies Highest results achieved are in BOLD The overall combination of reactivities and cross-reactivities of all the auto-antibodies are demonstrated in a Venn diagram as Figure 1. Venn diagram of positive reactivity patterns of ACPA-IgG, cRF, ACPA-IgA RF-IgA individually as well as cross-reactivity patterns between these biomarkers. The Venn diagram indicates that 31% (n=23) of RA patients had cRF and ACPA autoantibodies of both serotypes (IgG and IgA), while 48% (n=36) were positive for ACPA-IgG, cRF and RF-IgA, but not for ACPA-IgA. The healthy control subjects had median values (iqr) of 16 (53) IU/ml and 2 (3) IU/ml for RF-IgA and ACPA-IgA, respectively. RF-IgA seropositivity amongst the healthy control subjects was 41% (95% CI: 19% – 67%), while ACPA-IgA demonstrated a positivity rate of 18% (95% CI: 5%–46%). Disease severity (SDAI scores & disease duration at baseline) Duration since onset of symptoms in months, SDAI scores and the presence of erosions at presentation were used as markers of disease severity. At baseline, 25% (n=19) of patients were scored as MDA and 75% (n=56) as HDA, while no patients were in remission or LDA. Linear regression analysis revealed a statistically significant positive relationship between ACPA-IgA and SDAI at baseline (p=0.030, R2=0.0646, β=0.3, α=6.1, CI: 0.03 – 0.58). Duration since onset of symptoms in months, SDAI scores and the presence of erosions at presentation were used as markers of disease severity. At baseline, 25% (n=19) of patients were scored as MDA and 75% (n=56) as HDA, while no patients were in remission or LDA. Linear regression analysis revealed a statistically significant positive relationship between ACPA-IgA and SDAI at baseline (p=0.030, R2=0.0646, β=0.3, α=6.1, CI: 0.03 – 0.58). Risk factors Tobacco use Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months. Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months. HLA-SE Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles. As shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA. Median values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX). Values were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD Where m is the mean of x, and SD is the standard deviation of x). As shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use. Median ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco. Median ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX). Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles. As shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA. Median values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX). Values were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD Where m is the mean of x, and SD is the standard deviation of x). As shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use. Median ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco. Median ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX). Tobacco use Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months. Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months. HLA-SE Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles. As shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA. Median values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX). Values were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD Where m is the mean of x, and SD is the standard deviation of x). As shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use. Median ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco. Median ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX). Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles. As shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA. Median values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX). Values were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD Where m is the mean of x, and SD is the standard deviation of x). As shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use. Median ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco. Median ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX). Demographics: The demographics of the group of RA patients, as well as seropositivity rates for the biomarkers and SE-related data are summarized in Table 1. Patient demographics, disease indices, tobacco use, HLA-SE categories and autoantibody positivity rates in the group of RA patients The sensitivities, specificities, positive predictive values (PPVs), negative predictive values (NPVs), prevalence rates and Likelihood Ratios for cRF, ACPA-IgG, RF-IgA and ACPA-IgA in the group of RA patients are shown in Table 2. These demonstrate that cRF and ACPA are the best overall predictors of disease. ACPA-IgA antibodies, on the other hand, have the best specificity and PPV of the group of biomarkers, but show lesser sensitivity and NPV in comparison with cRF and ACPA. Likelihood ratios for cRF and ACPA rank the highest with cRF at 9.32. Importantly, RF-IgA and ACPA-IgA were inferior to the traditional cRF and ACPA-IgG sero-diagnostic biomarkers recommended by the ACR 2010. Sensitivities, Specificities, PPVs, NPVs and Likelihood Ratios for the various auto antibodies Highest results achieved are in BOLD The overall combination of reactivities and cross-reactivities of all the auto-antibodies are demonstrated in a Venn diagram as Figure 1. Venn diagram of positive reactivity patterns of ACPA-IgG, cRF, ACPA-IgA RF-IgA individually as well as cross-reactivity patterns between these biomarkers. The Venn diagram indicates that 31% (n=23) of RA patients had cRF and ACPA autoantibodies of both serotypes (IgG and IgA), while 48% (n=36) were positive for ACPA-IgG, cRF and RF-IgA, but not for ACPA-IgA. The healthy control subjects had median values (iqr) of 16 (53) IU/ml and 2 (3) IU/ml for RF-IgA and ACPA-IgA, respectively. RF-IgA seropositivity amongst the healthy control subjects was 41% (95% CI: 19% – 67%), while ACPA-IgA demonstrated a positivity rate of 18% (95% CI: 5%–46%). Disease severity (SDAI scores & disease duration at baseline): Duration since onset of symptoms in months, SDAI scores and the presence of erosions at presentation were used as markers of disease severity. At baseline, 25% (n=19) of patients were scored as MDA and 75% (n=56) as HDA, while no patients were in remission or LDA. Linear regression analysis revealed a statistically significant positive relationship between ACPA-IgA and SDAI at baseline (p=0.030, R2=0.0646, β=0.3, α=6.1, CI: 0.03 – 0.58). Risk factors: Tobacco use Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months. Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months. HLA-SE Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles. As shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA. Median values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX). Values were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD Where m is the mean of x, and SD is the standard deviation of x). As shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use. Median ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco. Median ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX). Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles. As shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA. Median values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX). Values were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD Where m is the mean of x, and SD is the standard deviation of x). As shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use. Median ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco. Median ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX). Tobacco use: Tobacco users (serum cotinine >10ng/ml) presented with a higher SDAI score at baseline than non-users (p=0.036) using the Mann-Whitney U-test. ACPA -IgA levels were higher in tobacco users than non-users (p=0.007) in the group of patients with disease duration of <12 months, but not in those with disease duration >12 months. HLA-SE: Table 1 indicates that 71 (95%) patients had an HLASE allele, of which 30 (40%) were heterozygous (SX) i.e. had 1 of the SE-associated alleles and 55% where homozygous (SS) for HLA-SE. Only 4 (5%) of the patients expressed no HLA-SE phenotype (XX) in keeping with previously described findings in this cohort of patients8. This showed that the 71 patients with HLA-SE alleles could be categorized as High Risk (HR) and Low Risk (LR), according to the amino acids at position 70 and 71. The HR and LR groups consisted of 48 (68%) and 23 (31%) patients respectively. A further subdivision consisting of homozygous, heterozygous, LR and HR HLASE allele permutations revealed the following groupings: i) 23 (31%) patients had both the LR and HR HLA-SE alleles (DUAL), ii) 10 (13%) were homozygous for the HR alleles (HoHR), iii) 17 (23%) were heterozygous for the HR alleles (HeHR), iii) 8 (11%) were homozygous for the LR alleles (HoLR), iv) 13 (17%) were heterozygous for the LR alleles (HeLR), and v) 4(5%) had no HLA-SE alleles. As shown in Figure 2, statistically significant differences in serum levels of ACPA-IgG (p = 0.009) and ACPA-IgA (p=0.032) were noted when comparing the SS vs. SX HLA-SE allele expression groups, with the homozygous (SS) patients having consistently higher median autoantibody titres than their heterozygous (SX) counterparts. This was not apparent in the cases of both cRF and RF-IgA. Median values of ACPA, and ACPA-IgA in patients categorised according to HLA-SE homozygosity (SS) and heterozygosity (SX). Values were standardised (z-scores) to display on common y-axis (standardisation: x* = (x-m)/SD Where m is the mean of x, and SD is the standard deviation of x). As shown in Figure 3A, the median titers of ACPA-IgA auto-antibodies in tobacco users show a trend, albeit insignificant (p=0.078), towards higher values, while the data shown in Figure 3B indicate an association between HLA-SE homo- and heterozygosity, tobacco use and ACPA-IgA, which reaches statistical significance only in the heterozygous group ( p=0.028). This may be explained by the presence of the HR modulatory gene present in 57% (n=17) present in the SX group, whereas in the SS group only 24% (n=10) of patients have the HR associated amino acid sequence. The majority 56% (n=23) of the SS patients express the LR modulatory gene in combination with the HR gene, with a further 20% (n=8) homozygous for LR. These findings are in agreement with the involvement of the HR HLA-SE genes in the immunopathogenesis of RA, potentiated by tobacco use. Median ACPA-IgA values in RA tobacco users and non-users showing a trend towards higher ACPA-IgA titres in users of tobacco. Median ACPA-IgA values in tobacco users and non-users categorised according to Shared Epitope homozygosity (SS) and heterozygosity (SX). Discussion: The current study demonstrates a lack of diagnostic or predictive value of measurement of RF-IgA relative to that of cRF in this study group of DMARD-naïve, African RA patients. Measurement of ACPA-IgA, on the other hand, demonstrated an extremely high specificity and positive predictive value, as well as a positive association with disease activity, but was notably lacking in both sensitivity and negative predictive value in comparison with both ACPA-IgG and cRF. Assuming that these observations can be extrapolated to other population groups, they appear to argue against the clinical utility of measurement of either RF-IgA or ACPA-IgA as diagnostic adjuncts to cRF and ACPA11,12. Interestingly, however, tobacco usage, which was associated with higher disease activity on presentation, was also associated with higher levels of ACPA-IgA, specifically in those RA patients categorized as having disease duration of <12 months. Higher levels of ACPA-IgA prior to disease onset may be a reflection of epitope spreading and isotype expansion, a phenomenon well described in RA13 In addition, when comparing RA tobacco users with RA non-tobacco users, a statistically significant, positive association between smoking, SE genotype and serum concentrations of ACPA-IgA was also evident14–16. These observations are of possible significance in relation to the role of smoking and HLA genotype in the immunopathogenesis of RA, seemingly strengthening the link with smoking-related protein citrullination in the airway mucosa17–19, and possibly the gastrointestinal mucosa20,21, resulting in interactions of citrullinated proteins with SE-expressing T lymphocytes, leading to the production of potentially pathogenic ACPA-IgA auto-antibodies13. In this context, it is, however, noteworthy, that tobacco usage in the current cohort of RA patients is predominantly inhalation of powdered tobacco (snuff), as opposed to active smoking, with both types of tobacco usage resulting in equivalent circulating concentrations of cotinine22, suggesting, that like active smoking, usage of smokeless tobacco products, particularly those that are inhaled, may also predispose to development of RA. Notwithstanding the relatively small number of patients, which is a limitation of this study, it is, however, noteworthy that similar sized or smaller cohort studies have been published in a number of peer-reviewed journals as illustrated in the systematic review article by Peter Taylor et al.22 The findings of our study do, however, appear to indicate the lack of superiority of RF-IgA and ACPA-IgA over cRF and ACPA-IgG in the sero-diagnosis of RA. On the other hand, the finding of associations of ACPA-IgA with tobacco usage and HLA genotype indicates that this augmentative combination of risk factors for development and severity of RA in Black South Africans is similar to that described for their counterparts of Caucasian origin. Clearly, usage of any type of tobacco product is to be discouraged in those identified as being at high risk for development of RA, or who are in the early stages of the disease.
Background: The immunoglobulin A isotypes of anti-cyclic citrullinated peptide antibodies (ACPA) and rheumatoid factor (RF) are associated with disease severity and progression in Caucasian rheumatoid arthritis (RA) patients, as well as with genetic predisposition and tobacco use. Methods: RF-IgA and ACPA-IgA were determined in a cohort of predominantly black South African RA patients (n=75) in relation to serodiagnostic and prognostic potential, as well as tobacco use and genetic predisposition. Healthy control subjects were included to determine sensitivity, specificity and predictive values.ACPA-IgG/IgA and RF-IgA were determined by enzyme immunoassay and hs-CRP and cRF by nephelometry. Cotinine levels were determined by ELISA. Results: The frequencies of ACPA-IgA and RF-IgA were 31% and 88% respectively compared to 88% for both types of traditional autoantibody procedures. ACPA-IgA was significantly higher (p=0.007) in patients with short disease duration, while linear regression analysis revealed a positive relationship with baseline disease activity scores. Levels of ACPA-IgG and ACPA-IgA were significantly higher in tobacco users who carried the HLA shared epitope. Conclusions: Although lacking in serodiagnostic superiority over cRF and ACPA-IgG, inclusion of RF-IgA and ACPA-IgA in autoantibody panels may provide insights into disease pathogenesis, interactions between tobacco usage and HLA genotype in the production of potentially disease-triggering ACPA-IgA antibodies.
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9,075
276
[ 155, 411, 90, 1453, 73, 648 ]
10
[ "acpa", "iga", "patients", "acpa iga", "se", "hla", "tobacco", "hla se", "users", "hr" ]
[ "associated auto antibodies", "peptide acpa antibodies", "rheumatoid arthritis ra", "antibodies compared acpa", "iga rheumatoid factor" ]
null
null
null
[CONTENT] Tobacco usage | genetic predisposition | immunoglobulin A | anti-citrullinated peptide | South Africa | rheumatoid arthritis patients [SUMMARY]
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[CONTENT] Tobacco usage | genetic predisposition | immunoglobulin A | anti-citrullinated peptide | South Africa | rheumatoid arthritis patients [SUMMARY]
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[CONTENT] Tobacco usage | genetic predisposition | immunoglobulin A | anti-citrullinated peptide | South Africa | rheumatoid arthritis patients [SUMMARY]
null
[CONTENT] Adolescent | Aged | Anti-Citrullinated Protein Antibodies | Arthritis, Rheumatoid | Autoantibodies | Case-Control Studies | Cohort Studies | Female | Genetic Predisposition to Disease | Humans | Immunoenzyme Techniques | Immunoglobulin A | Immunoglobulin G | Male | Middle Aged | Nephelometry and Turbidimetry | Predictive Value of Tests | Prevalence | Rheumatoid Factor | Sensitivity and Specificity | Severity of Illness Index | Smoking | South Africa | Tobacco Use | Young Adult [SUMMARY]
null
[CONTENT] Adolescent | Aged | Anti-Citrullinated Protein Antibodies | Arthritis, Rheumatoid | Autoantibodies | Case-Control Studies | Cohort Studies | Female | Genetic Predisposition to Disease | Humans | Immunoenzyme Techniques | Immunoglobulin A | Immunoglobulin G | Male | Middle Aged | Nephelometry and Turbidimetry | Predictive Value of Tests | Prevalence | Rheumatoid Factor | Sensitivity and Specificity | Severity of Illness Index | Smoking | South Africa | Tobacco Use | Young Adult [SUMMARY]
null
[CONTENT] Adolescent | Aged | Anti-Citrullinated Protein Antibodies | Arthritis, Rheumatoid | Autoantibodies | Case-Control Studies | Cohort Studies | Female | Genetic Predisposition to Disease | Humans | Immunoenzyme Techniques | Immunoglobulin A | Immunoglobulin G | Male | Middle Aged | Nephelometry and Turbidimetry | Predictive Value of Tests | Prevalence | Rheumatoid Factor | Sensitivity and Specificity | Severity of Illness Index | Smoking | South Africa | Tobacco Use | Young Adult [SUMMARY]
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[CONTENT] associated auto antibodies | peptide acpa antibodies | rheumatoid arthritis ra | antibodies compared acpa | iga rheumatoid factor [SUMMARY]
null
[CONTENT] associated auto antibodies | peptide acpa antibodies | rheumatoid arthritis ra | antibodies compared acpa | iga rheumatoid factor [SUMMARY]
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[CONTENT] associated auto antibodies | peptide acpa antibodies | rheumatoid arthritis ra | antibodies compared acpa | iga rheumatoid factor [SUMMARY]
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[CONTENT] acpa | iga | patients | acpa iga | se | hla | tobacco | hla se | users | hr [SUMMARY]
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[CONTENT] acpa | iga | patients | acpa iga | se | hla | tobacco | hla se | users | hr [SUMMARY]
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[CONTENT] acpa | iga | patients | acpa iga | se | hla | tobacco | hla se | users | hr [SUMMARY]
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[CONTENT] antibodies | disease | rf | auto antibodies | ra | auto | acpa | measurement | iga | isotypes [SUMMARY]
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[CONTENT] hr | acpa | iga | lr | users | se | hla se | alleles | patients | hla [SUMMARY]
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[CONTENT] acpa | iga | users | patients | hr | acpa iga | tobacco | se | hla | lr [SUMMARY]
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[CONTENT] Caucasian | RA [SUMMARY]
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[CONTENT] ACPA-IgA | 31% and 88% | 88% ||| linear ||| HLA [SUMMARY]
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[CONTENT] Caucasian | RA ||| South African | RA ||| ||| hs-CRP ||| Cotinine | ELISA ||| ACPA-IgA | 31% and 88% | 88% ||| linear ||| HLA ||| ACPA-IgG | RF-IgA [SUMMARY]
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Chest imaging findings in COVID-19-positive patients in an Australian tertiary hospital.
34612025
Coronavirus disease 2019 (COVID-19) has infected over 215 million individuals worldwide. Chest radiographs (CXR) and computed tomography (CT) have assisted with diagnosis and assessment of COVID-19. Previous reports have described peripheral and lower zone predominant opacities on chest radiographs. Whilst the most common patterns on CT are bilateral, peripheral basal predominant ground glass opacities (Wong et al., Radiology, 296, 2020, E72; Karimian and Azami, Pol J Radiol, 86, 2021, e31). This study describes the imaging findings in an Australian tertiary hospital population.
INTRODUCTION
COVID-PCR-positive patients who had chest imaging (CXR, CT and ventilation perfusion (V/Q) scans) from January 2020 to August 2020 were included. Distribution, location and pattern of involvement was recorded. Evaluation of the assessors was performed using Fleiss Kappa calculations for review of radiographic findings and qualitative analysis of CT findings.
METHODS
A total of 681 studies (616 CXRs, 59 CTs, 6 V/Q) from 181 patients were reviewed. The most common chest radiograph finding was bilateral lower lobe predominant diffuse opacification and most common CT pattern being ground glass opacities. Of the CT imaging, 33 were CT Pulmonary Angiograms of which five demonstrated acute pulmonary emboli. There was good inter-rater agreement between radiologists in assessment of imaging appearances on CXR (kappa 0.29-0.73) and CT studies.
RESULTS
A review of imaging in an Australian tertiary hospital demonstrates similar patterns of COVID-19 infection on chest X-ray and CT imaging when compared to the international population.
CONCLUSION
[ "Australia", "COVID-19", "COVID-19 Testing", "Humans", "Tertiary Care Centers", "Tomography, X-Ray Computed" ]
8652462
Introduction
Coronavirus disease 2019 (COVID‐19) was first described in late 2019 where the first cluster of cases was reported in Wuhan, Hubei Province, China. 1 COVID‐19 has since spread globally and on 11 March, 2020 the World Health Organisation (WHO) officially characterised COVID‐19 as a pandemic. As of 3rd October 2021, over 215 million individuals have been infected worldwide resulting in significant mortality and morbidity. The first case of COVID‐19 in Australia was confirmed on the 25th January 2020, and by 3rd October 2021 Australia has had more than 110,000 cases which have resulted in over 1000 deaths. Chest radiographs (CXR) and computed tomography (CT) have frequently been utilised in assistance with diagnosis and assessment of progression of disease. A multinational consensus statement from the Fleischner society describes the role of chest imaging in the management of COVID‐19, recommending that imaging is not indicated in patients suspected of having COVID‐19 with mild clinical features, but is recommended for patients at risk for disease progression and in those with worsening respiratory status. 2 Imaging of patients with COVID‐19 infection has raised challenges in ensuring that studies are performed appropriately whilst ensuring the safety of health personnel. Whilst the CXR is low in sensitivity, it can be highly suggestive of COVID‐19 in the correct clinical setting when the radiographs exhibit characteristic COVID‐19 findings. 3 Typical findings include a peripheral mid to lower zone lung distribution of opacification. 3 , 4 CT imaging is not recommended for screening or as a first line test to diagnose COVID‐19 and should be used sparingly, for hospitalised, symptomatic patients with specific clinical indications. 5 , 6 The Royal Australian and New Zealand College of Radiologists (RANZCR) recommendation for CT technique in the setting of COVID‐19 is a volumetric CT of the entire chest at end inspiration, with reconstruction of contiguous high‐resolution (HR) images at 0.625–1.5 mm for assessment of the lungs. Studies have demonstrated that COVID‐19 can cause microvascular injuries resulting in a procoagulant state. 5 The role of computed tomography pulmonary angiography (CTPA) is reserved for the detection of pulmonary emboli in individuals who have clinical deterioration. 7 Characteristic CT findings include bilateral, peripheral and basal predominant ground glass opacities and consolidation. 8 Consolidation superimposed on ground glass opacity is found in a small number of cases, predominantly in the elderly. 7 This study describes the imaging findings of 180 patients who presented to The Royal Melbourne Hospital (an Australian tertiary hospital), evaluating the patterns demonstrated on CXR, CT and ventilation perfusion (V/Q) scans.
Methods
The retrospective review was approved by the ethics committee through the quality assurance pathway. COVID‐PCR‐positive patients who had chest imaging (CXR, CT and V/Q scans) from January 2020 to August 2020 were included. The imaging was evaluated by a senior radiology registrar and four subspecialty chest radiologists including one dual trained radiologist and nuclear medicine specialist. Imaging performed within 5 days prior to the COVID‐PCR‐positive test was also included to account for the potential lag time between onset of infection and a COVID‐PCR‐positive test. A set of descriptors were developed for the purposes of labelling based on descriptors in the current literature. Chest radiograph descriptors Chest radiograph descriptors were divided into zone involvement, distribution and findings. The chest radiograph was divided into six zones, right upper, right middle, right lower, left upper, left middle and left lower (Fig. 1). This method of dividing the lungs into thirds is commonly used in reporting and has been proposed for the reporting of COVID‐19 chest radiographs. 9 The chest X‐rays were distributed into six zones as illustrated. The distribution of the lung changes were also classified into three categories: peripheral, central and diffuse (Fig. 2). Peripheral distribution was selected when only peripheral opacities were present. Central distribution was selected when only central opacities were present. A diffuse distribution was selected if there were opacities that either crossed both regions or were both peripheral and central. Figure 3 demonstrates a chest radiograph with a peripheral distribution. Descriptors for the distribution of opacity. Chest radiograph with a peripheral distribution. Other findings recorded included the presence of pleural effusions or interstitial change. Chest radiograph descriptors were divided into zone involvement, distribution and findings. The chest radiograph was divided into six zones, right upper, right middle, right lower, left upper, left middle and left lower (Fig. 1). This method of dividing the lungs into thirds is commonly used in reporting and has been proposed for the reporting of COVID‐19 chest radiographs. 9 The chest X‐rays were distributed into six zones as illustrated. The distribution of the lung changes were also classified into three categories: peripheral, central and diffuse (Fig. 2). Peripheral distribution was selected when only peripheral opacities were present. Central distribution was selected when only central opacities were present. A diffuse distribution was selected if there were opacities that either crossed both regions or were both peripheral and central. Figure 3 demonstrates a chest radiograph with a peripheral distribution. Descriptors for the distribution of opacity. Chest radiograph with a peripheral distribution. Other findings recorded included the presence of pleural effusions or interstitial change. CT descriptors CT characteristics were classified according to pattern, distribution, lobe involvement and other findings. The CT descriptors were used for all chest CT imaging including pre‐ and post‐contrast CT chests such as pulmonary angiograms. CT patterns reviewed were based on patterns described in the literature. 10 Patterns that were included were ground glass opacities, consolidation, ground glass with consolidation, crazy paving pattern, reverse halo, interlobular septal thickening and air bronchograms. Distribution on CT was divided into peripheral, central, peribronchovascular or diffuse. Similar to the chest radiograph distribution, if more than one pattern was involved the diffuse descriptor for distribution was selected. Lobar involvement was also recorded based on the normal anatomical division of the right and left lung lobes (right upper, middle and lower and left upper and lower). Each lobe involved in the CT was selected. Other findings that were recorded included pleural effusions, lymphadenopathy, pulmonary nodules, scarring and presence of pulmonary embolism on CT pulmonary angiograms. CT characteristics were classified according to pattern, distribution, lobe involvement and other findings. The CT descriptors were used for all chest CT imaging including pre‐ and post‐contrast CT chests such as pulmonary angiograms. CT patterns reviewed were based on patterns described in the literature. 10 Patterns that were included were ground glass opacities, consolidation, ground glass with consolidation, crazy paving pattern, reverse halo, interlobular septal thickening and air bronchograms. Distribution on CT was divided into peripheral, central, peribronchovascular or diffuse. Similar to the chest radiograph distribution, if more than one pattern was involved the diffuse descriptor for distribution was selected. Lobar involvement was also recorded based on the normal anatomical division of the right and left lung lobes (right upper, middle and lower and left upper and lower). Each lobe involved in the CT was selected. Other findings that were recorded included pleural effusions, lymphadenopathy, pulmonary nodules, scarring and presence of pulmonary embolism on CT pulmonary angiograms. V/Q scan descriptors V/Q scans were analysed as either with findings or without findings. The V/Q scans recorded in this study were either performed just prior to a positive COVID swab or after the acute episode of COVID as follow‐up imaging. V/Q scans were analysed as either with findings or without findings. The V/Q scans recorded in this study were either performed just prior to a positive COVID swab or after the acute episode of COVID as follow‐up imaging. Evaluation of readers Between the five assessors, the senior radiology registrar reviewed all 661 studies. The consultant radiologists each reviewed 20 studies, 20 of which were also reviewed by the radiology registrar and 10 reviewed by another consultant radiologist. Fleiss kappa values were calculated to assess inter‐rater variability between all five assessors for chest radiograph distribution (peripheral, central and diffuse) as well as for each of the six lung zones. A qualitative assessment of the responses of the five assessors was performed with all discrepancies reviewed. Between the five assessors, the senior radiology registrar reviewed all 661 studies. The consultant radiologists each reviewed 20 studies, 20 of which were also reviewed by the radiology registrar and 10 reviewed by another consultant radiologist. Fleiss kappa values were calculated to assess inter‐rater variability between all five assessors for chest radiograph distribution (peripheral, central and diffuse) as well as for each of the six lung zones. A qualitative assessment of the responses of the five assessors was performed with all discrepancies reviewed.
Results
A total of 681 studies (616 Chest X‐Rays, 59 CTs, six V/Q scans) from 181 patients were reviewed. Of the 181 patients, there were 92 females and 89 males with a mean age of 61.99 (range 16–101). Chest radiograph findings A total of 103 (17%) of radiographs performed were normal with no findings. Three chest radiographs were considered not suitable for evaluation as they did not have the entire chest in view for evaluation. The most commonly involved zones were the left lower zone (n = 441, 72%) and right lower zone (n = 433, 70%). The least involved zone was the left upper zone (n = 112, 18%). The distribution in each lung zone is shown in Table 1. Findings in both lungs (n = 417, 67%) were demonstrated more often than unilateral findings (n = 239, 39%). The most common pattern of distribution was a diffuse pattern (n = 351, 57%) followed by a peripheral pattern (n = 146, 24%) with the least common pattern of distribution being central (n = 13, 2%). In the other findings evaluated, 3% had pleural effusions and 3% had interstitial change. Distribution of changes in each zone on chest radiograph A total of 103 (17%) of radiographs performed were normal with no findings. Three chest radiographs were considered not suitable for evaluation as they did not have the entire chest in view for evaluation. The most commonly involved zones were the left lower zone (n = 441, 72%) and right lower zone (n = 433, 70%). The least involved zone was the left upper zone (n = 112, 18%). The distribution in each lung zone is shown in Table 1. Findings in both lungs (n = 417, 67%) were demonstrated more often than unilateral findings (n = 239, 39%). The most common pattern of distribution was a diffuse pattern (n = 351, 57%) followed by a peripheral pattern (n = 146, 24%) with the least common pattern of distribution being central (n = 13, 2%). In the other findings evaluated, 3% had pleural effusions and 3% had interstitial change. Distribution of changes in each zone on chest radiograph CT findings Of the 59 CTs, nine were performed as follow‐up after the acute episode. Ten (17%) CTs performed were normal. Of these normal CT studies, two were in follow‐up CT scans. Thirty‐three of the scans were CT pulmonary angiograms, with five positive for pulmonary embolism. The most common patterns demonstrated on CT imaging were ground glass opacity (n = 20, 45%) and ground glass with consolidation (n = 20, 34%). The most common distribution demonstrated on CT was peripheral (n = 29, 49%) and peribronchovascular (n = 16, 27%). The most commonly involved lobe was the right lower lobe (n = 42, 71%) followed by the left lower lobe (n = 41, 69%). Bilateral involvement (n = 45, 76%) was more common than unilateral involvement (n = 3, 6%). In the other findings evaluated, four demonstrated pleural effusion (n = 4, 7%), two cases demonstrated lymphadenopathy and five cases demonstrated pulmonary nodules. Scarring was observed in three cases, two of which were in follow‐up CT scans. An example CT demonstrating peripheral regions of consolidation, ground glass and air bronchograms is shown in Figure 4. CT chest performed on a COVID‐19‐positive patient with regions of peripheral consolidation, ground glass opacity and air bronchograms which are lower lobe predominant. Of the 59 CTs, nine were performed as follow‐up after the acute episode. Ten (17%) CTs performed were normal. Of these normal CT studies, two were in follow‐up CT scans. Thirty‐three of the scans were CT pulmonary angiograms, with five positive for pulmonary embolism. The most common patterns demonstrated on CT imaging were ground glass opacity (n = 20, 45%) and ground glass with consolidation (n = 20, 34%). The most common distribution demonstrated on CT was peripheral (n = 29, 49%) and peribronchovascular (n = 16, 27%). The most commonly involved lobe was the right lower lobe (n = 42, 71%) followed by the left lower lobe (n = 41, 69%). Bilateral involvement (n = 45, 76%) was more common than unilateral involvement (n = 3, 6%). In the other findings evaluated, four demonstrated pleural effusion (n = 4, 7%), two cases demonstrated lymphadenopathy and five cases demonstrated pulmonary nodules. Scarring was observed in three cases, two of which were in follow‐up CT scans. An example CT demonstrating peripheral regions of consolidation, ground glass and air bronchograms is shown in Figure 4. CT chest performed on a COVID‐19‐positive patient with regions of peripheral consolidation, ground glass opacity and air bronchograms which are lower lobe predominant. V/Q scan findings Of the six V/Q scans performed, two (33%) demonstrated findings and four (67%) were normal. One V/Q scan was performed 7 days prior to the positive COVID test and 4 days prior to the onset of symptoms to investigate a 6 month history of chest pain. The V/Q scan was negative for pulmonary embolism with bronchopulmonary changes seen in the left apex on both ventilation and perfusion images (Fig. 5). Although CT chest two days later demonstrated no correlative changes, bilateral regions of opacification were subsequently demonstrated on CXR 7 days after the V/Q scan. The other positive V/Q scan was requested for follow‐up of pulmonary emboli demonstrated on CT pulmonary angiogram on admission. This V/Q scan demonstrated mild heterogeneous tracer uptake in both lungs. V/Q scan (a) in a patient who subsequently became COVID‐19 positive with bilateral regions of opacification on CXR performed 7 days after the V/Q scan (b). Of the six V/Q scans performed, two (33%) demonstrated findings and four (67%) were normal. One V/Q scan was performed 7 days prior to the positive COVID test and 4 days prior to the onset of symptoms to investigate a 6 month history of chest pain. The V/Q scan was negative for pulmonary embolism with bronchopulmonary changes seen in the left apex on both ventilation and perfusion images (Fig. 5). Although CT chest two days later demonstrated no correlative changes, bilateral regions of opacification were subsequently demonstrated on CXR 7 days after the V/Q scan. The other positive V/Q scan was requested for follow‐up of pulmonary emboli demonstrated on CT pulmonary angiogram on admission. This V/Q scan demonstrated mild heterogeneous tracer uptake in both lungs. V/Q scan (a) in a patient who subsequently became COVID‐19 positive with bilateral regions of opacification on CXR performed 7 days after the V/Q scan (b). Evaluation of readers Moderate agreement was demonstrated between the readers for assessment of distribution on the chest radiograph (peripheral, central, diffuse) with a Fleiss Kappa value of 0.42 (P‐value < 0.05). The Fleiss Kappa values of the inter‐rater agreement for the distribution of the opacities in zones ranged from fair to substantial agreement with Fleiss kappa values ranging from 0.29 to 0.73 (P‐value < 0.05). A qualitative assessment performed on the CTs read by all consultant radiologists demonstrated consistency in labelling of the lobe involvement. There was a general consensus for the presence of ground glass opacity, air bronchograms and ground glass with consolidation. Moderate agreement was demonstrated between the readers for assessment of distribution on the chest radiograph (peripheral, central, diffuse) with a Fleiss Kappa value of 0.42 (P‐value < 0.05). The Fleiss Kappa values of the inter‐rater agreement for the distribution of the opacities in zones ranged from fair to substantial agreement with Fleiss kappa values ranging from 0.29 to 0.73 (P‐value < 0.05). A qualitative assessment performed on the CTs read by all consultant radiologists demonstrated consistency in labelling of the lobe involvement. There was a general consensus for the presence of ground glass opacity, air bronchograms and ground glass with consolidation.
null
null
[ "Introduction", "Chest radiograph descriptors", "CT descriptors", "V/Q scan descriptors", "Evaluation of readers", "Chest radiograph findings", "CT findings", "V/Q scan findings", "Evaluation of readers" ]
[ "Coronavirus disease 2019 (COVID‐19) was first described in late 2019 where the first cluster of cases was reported in Wuhan, Hubei Province, China.\n1\n COVID‐19 has since spread globally and on 11 March, 2020 the World Health Organisation (WHO) officially characterised COVID‐19 as a pandemic. As of 3rd October 2021, over 215 million individuals have been infected worldwide resulting in significant mortality and morbidity. The first case of COVID‐19 in Australia was confirmed on the 25th January 2020, and by 3rd October 2021 Australia has had more than 110,000 cases which have resulted in over 1000 deaths.\nChest radiographs (CXR) and computed tomography (CT) have frequently been utilised in assistance with diagnosis and assessment of progression of disease. A multinational consensus statement from the Fleischner society describes the role of chest imaging in the management of COVID‐19, recommending that imaging is not indicated in patients suspected of having COVID‐19 with mild clinical features, but is recommended for patients at risk for disease progression and in those with worsening respiratory status.\n2\n Imaging of patients with COVID‐19 infection has raised challenges in ensuring that studies are performed appropriately whilst ensuring the safety of health personnel.\nWhilst the CXR is low in sensitivity, it can be highly suggestive of COVID‐19 in the correct clinical setting when the radiographs exhibit characteristic COVID‐19 findings.\n3\n Typical findings include a peripheral mid to lower zone lung distribution of opacification.\n3\n, \n4\n\n\nCT imaging is not recommended for screening or as a first line test to diagnose COVID‐19 and should be used sparingly, for hospitalised, symptomatic patients with specific clinical indications.\n5\n, \n6\n The Royal Australian and New Zealand College of Radiologists (RANZCR) recommendation for CT technique in the setting of COVID‐19 is a volumetric CT of the entire chest at end inspiration, with reconstruction of contiguous high‐resolution (HR) images at 0.625–1.5 mm for assessment of the lungs. Studies have demonstrated that COVID‐19 can cause microvascular injuries resulting in a procoagulant state.\n5\n The role of computed tomography pulmonary angiography (CTPA) is reserved for the detection of pulmonary emboli in individuals who have clinical deterioration.\n7\n Characteristic CT findings include bilateral, peripheral and basal predominant ground glass opacities and consolidation.\n8\n Consolidation superimposed on ground glass opacity is found in a small number of cases, predominantly in the elderly.\n7\n\n\nThis study describes the imaging findings of 180 patients who presented to The Royal Melbourne Hospital (an Australian tertiary hospital), evaluating the patterns demonstrated on CXR, CT and ventilation perfusion (V/Q) scans.", "Chest radiograph descriptors were divided into zone involvement, distribution and findings. The chest radiograph was divided into six zones, right upper, right middle, right lower, left upper, left middle and left lower (Fig. 1). This method of dividing the lungs into thirds is commonly used in reporting and has been proposed for the reporting of COVID‐19 chest radiographs.\n9\n\n\nThe chest X‐rays were distributed into six zones as illustrated.\nThe distribution of the lung changes were also classified into three categories: peripheral, central and diffuse (Fig. 2). Peripheral distribution was selected when only peripheral opacities were present. Central distribution was selected when only central opacities were present. A diffuse distribution was selected if there were opacities that either crossed both regions or were both peripheral and central. Figure 3 demonstrates a chest radiograph with a peripheral distribution.\nDescriptors for the distribution of opacity.\nChest radiograph with a peripheral distribution.\nOther findings recorded included the presence of pleural effusions or interstitial change.", "CT characteristics were classified according to pattern, distribution, lobe involvement and other findings. The CT descriptors were used for all chest CT imaging including pre‐ and post‐contrast CT chests such as pulmonary angiograms.\nCT patterns reviewed were based on patterns described in the literature.\n10\n Patterns that were included were ground glass opacities, consolidation, ground glass with consolidation, crazy paving pattern, reverse halo, interlobular septal thickening and air bronchograms.\nDistribution on CT was divided into peripheral, central, peribronchovascular or diffuse. Similar to the chest radiograph distribution, if more than one pattern was involved the diffuse descriptor for distribution was selected. Lobar involvement was also recorded based on the normal anatomical division of the right and left lung lobes (right upper, middle and lower and left upper and lower). Each lobe involved in the CT was selected.\nOther findings that were recorded included pleural effusions, lymphadenopathy, pulmonary nodules, scarring and presence of pulmonary embolism on CT pulmonary angiograms.", "V/Q scans were analysed as either with findings or without findings. The V/Q scans recorded in this study were either performed just prior to a positive COVID swab or after the acute episode of COVID as follow‐up imaging.", "Between the five assessors, the senior radiology registrar reviewed all 661 studies. The consultant radiologists each reviewed 20 studies, 20 of which were also reviewed by the radiology registrar and 10 reviewed by another consultant radiologist. Fleiss kappa values were calculated to assess inter‐rater variability between all five assessors for chest radiograph distribution (peripheral, central and diffuse) as well as for each of the six lung zones. A qualitative assessment of the responses of the five assessors was performed with all discrepancies reviewed.", "A total of 103 (17%) of radiographs performed were normal with no findings. Three chest radiographs were considered not suitable for evaluation as they did not have the entire chest in view for evaluation. The most commonly involved zones were the left lower zone (n = 441, 72%) and right lower zone (n = 433, 70%). The least involved zone was the left upper zone (n = 112, 18%). The distribution in each lung zone is shown in Table 1. Findings in both lungs (n = 417, 67%) were demonstrated more often than unilateral findings (n = 239, 39%). The most common pattern of distribution was a diffuse pattern (n = 351, 57%) followed by a peripheral pattern (n = 146, 24%) with the least common pattern of distribution being central (n = 13, 2%). In the other findings evaluated, 3% had pleural effusions and 3% had interstitial change.\nDistribution of changes in each zone on chest radiograph", "Of the 59 CTs, nine were performed as follow‐up after the acute episode. Ten (17%) CTs performed were normal. Of these normal CT studies, two were in follow‐up CT scans. Thirty‐three of the scans were CT pulmonary angiograms, with five positive for pulmonary embolism. The most common patterns demonstrated on CT imaging were ground glass opacity (n = 20, 45%) and ground glass with consolidation (n = 20, 34%). The most common distribution demonstrated on CT was peripheral (n = 29, 49%) and peribronchovascular (n = 16, 27%). The most commonly involved lobe was the right lower lobe (n = 42, 71%) followed by the left lower lobe (n = 41, 69%). Bilateral involvement (n = 45, 76%) was more common than unilateral involvement (n = 3, 6%). In the other findings evaluated, four demonstrated pleural effusion (n = 4, 7%), two cases demonstrated lymphadenopathy and five cases demonstrated pulmonary nodules. Scarring was observed in three cases, two of which were in follow‐up CT scans. An example CT demonstrating peripheral regions of consolidation, ground glass and air bronchograms is shown in Figure 4.\nCT chest performed on a COVID‐19‐positive patient with regions of peripheral consolidation, ground glass opacity and air bronchograms which are lower lobe predominant.", "Of the six V/Q scans performed, two (33%) demonstrated findings and four (67%) were normal. One V/Q scan was performed 7 days prior to the positive COVID test and 4 days prior to the onset of symptoms to investigate a 6 month history of chest pain. The V/Q scan was negative for pulmonary embolism with bronchopulmonary changes seen in the left apex on both ventilation and perfusion images (Fig. 5). Although CT chest two days later demonstrated no correlative changes, bilateral regions of opacification were subsequently demonstrated on CXR 7 days after the V/Q scan. The other positive V/Q scan was requested for follow‐up of pulmonary emboli demonstrated on CT pulmonary angiogram on admission. This V/Q scan demonstrated mild heterogeneous tracer uptake in both lungs.\nV/Q scan (a) in a patient who subsequently became COVID‐19 positive with bilateral regions of opacification on CXR performed 7 days after the V/Q scan (b).", "Moderate agreement was demonstrated between the readers for assessment of distribution on the chest radiograph (peripheral, central, diffuse) with a Fleiss Kappa value of 0.42 (P‐value < 0.05). The Fleiss Kappa values of the inter‐rater agreement for the distribution of the opacities in zones ranged from fair to substantial agreement with Fleiss kappa values ranging from 0.29 to 0.73 (P‐value < 0.05).\nA qualitative assessment performed on the CTs read by all consultant radiologists demonstrated consistency in labelling of the lobe involvement. There was a general consensus for the presence of ground glass opacity, air bronchograms and ground glass with consolidation." ]
[ null, null, null, null, null, null, null, null, null ]
[ "Introduction", "Methods", "Chest radiograph descriptors", "CT descriptors", "V/Q scan descriptors", "Evaluation of readers", "Results", "Chest radiograph findings", "CT findings", "V/Q scan findings", "Evaluation of readers", "Discussion" ]
[ "Coronavirus disease 2019 (COVID‐19) was first described in late 2019 where the first cluster of cases was reported in Wuhan, Hubei Province, China.\n1\n COVID‐19 has since spread globally and on 11 March, 2020 the World Health Organisation (WHO) officially characterised COVID‐19 as a pandemic. As of 3rd October 2021, over 215 million individuals have been infected worldwide resulting in significant mortality and morbidity. The first case of COVID‐19 in Australia was confirmed on the 25th January 2020, and by 3rd October 2021 Australia has had more than 110,000 cases which have resulted in over 1000 deaths.\nChest radiographs (CXR) and computed tomography (CT) have frequently been utilised in assistance with diagnosis and assessment of progression of disease. A multinational consensus statement from the Fleischner society describes the role of chest imaging in the management of COVID‐19, recommending that imaging is not indicated in patients suspected of having COVID‐19 with mild clinical features, but is recommended for patients at risk for disease progression and in those with worsening respiratory status.\n2\n Imaging of patients with COVID‐19 infection has raised challenges in ensuring that studies are performed appropriately whilst ensuring the safety of health personnel.\nWhilst the CXR is low in sensitivity, it can be highly suggestive of COVID‐19 in the correct clinical setting when the radiographs exhibit characteristic COVID‐19 findings.\n3\n Typical findings include a peripheral mid to lower zone lung distribution of opacification.\n3\n, \n4\n\n\nCT imaging is not recommended for screening or as a first line test to diagnose COVID‐19 and should be used sparingly, for hospitalised, symptomatic patients with specific clinical indications.\n5\n, \n6\n The Royal Australian and New Zealand College of Radiologists (RANZCR) recommendation for CT technique in the setting of COVID‐19 is a volumetric CT of the entire chest at end inspiration, with reconstruction of contiguous high‐resolution (HR) images at 0.625–1.5 mm for assessment of the lungs. Studies have demonstrated that COVID‐19 can cause microvascular injuries resulting in a procoagulant state.\n5\n The role of computed tomography pulmonary angiography (CTPA) is reserved for the detection of pulmonary emboli in individuals who have clinical deterioration.\n7\n Characteristic CT findings include bilateral, peripheral and basal predominant ground glass opacities and consolidation.\n8\n Consolidation superimposed on ground glass opacity is found in a small number of cases, predominantly in the elderly.\n7\n\n\nThis study describes the imaging findings of 180 patients who presented to The Royal Melbourne Hospital (an Australian tertiary hospital), evaluating the patterns demonstrated on CXR, CT and ventilation perfusion (V/Q) scans.", "The retrospective review was approved by the ethics committee through the quality assurance pathway. COVID‐PCR‐positive patients who had chest imaging (CXR, CT and V/Q scans) from January 2020 to August 2020 were included. The imaging was evaluated by a senior radiology registrar and four subspecialty chest radiologists including one dual trained radiologist and nuclear medicine specialist. Imaging performed within 5 days prior to the COVID‐PCR‐positive test was also included to account for the potential lag time between onset of infection and a COVID‐PCR‐positive test.\nA set of descriptors were developed for the purposes of labelling based on descriptors in the current literature.\nChest radiograph descriptors Chest radiograph descriptors were divided into zone involvement, distribution and findings. The chest radiograph was divided into six zones, right upper, right middle, right lower, left upper, left middle and left lower (Fig. 1). This method of dividing the lungs into thirds is commonly used in reporting and has been proposed for the reporting of COVID‐19 chest radiographs.\n9\n\n\nThe chest X‐rays were distributed into six zones as illustrated.\nThe distribution of the lung changes were also classified into three categories: peripheral, central and diffuse (Fig. 2). Peripheral distribution was selected when only peripheral opacities were present. Central distribution was selected when only central opacities were present. A diffuse distribution was selected if there were opacities that either crossed both regions or were both peripheral and central. Figure 3 demonstrates a chest radiograph with a peripheral distribution.\nDescriptors for the distribution of opacity.\nChest radiograph with a peripheral distribution.\nOther findings recorded included the presence of pleural effusions or interstitial change.\nChest radiograph descriptors were divided into zone involvement, distribution and findings. The chest radiograph was divided into six zones, right upper, right middle, right lower, left upper, left middle and left lower (Fig. 1). This method of dividing the lungs into thirds is commonly used in reporting and has been proposed for the reporting of COVID‐19 chest radiographs.\n9\n\n\nThe chest X‐rays were distributed into six zones as illustrated.\nThe distribution of the lung changes were also classified into three categories: peripheral, central and diffuse (Fig. 2). Peripheral distribution was selected when only peripheral opacities were present. Central distribution was selected when only central opacities were present. A diffuse distribution was selected if there were opacities that either crossed both regions or were both peripheral and central. Figure 3 demonstrates a chest radiograph with a peripheral distribution.\nDescriptors for the distribution of opacity.\nChest radiograph with a peripheral distribution.\nOther findings recorded included the presence of pleural effusions or interstitial change.\nCT descriptors CT characteristics were classified according to pattern, distribution, lobe involvement and other findings. The CT descriptors were used for all chest CT imaging including pre‐ and post‐contrast CT chests such as pulmonary angiograms.\nCT patterns reviewed were based on patterns described in the literature.\n10\n Patterns that were included were ground glass opacities, consolidation, ground glass with consolidation, crazy paving pattern, reverse halo, interlobular septal thickening and air bronchograms.\nDistribution on CT was divided into peripheral, central, peribronchovascular or diffuse. Similar to the chest radiograph distribution, if more than one pattern was involved the diffuse descriptor for distribution was selected. Lobar involvement was also recorded based on the normal anatomical division of the right and left lung lobes (right upper, middle and lower and left upper and lower). Each lobe involved in the CT was selected.\nOther findings that were recorded included pleural effusions, lymphadenopathy, pulmonary nodules, scarring and presence of pulmonary embolism on CT pulmonary angiograms.\nCT characteristics were classified according to pattern, distribution, lobe involvement and other findings. The CT descriptors were used for all chest CT imaging including pre‐ and post‐contrast CT chests such as pulmonary angiograms.\nCT patterns reviewed were based on patterns described in the literature.\n10\n Patterns that were included were ground glass opacities, consolidation, ground glass with consolidation, crazy paving pattern, reverse halo, interlobular septal thickening and air bronchograms.\nDistribution on CT was divided into peripheral, central, peribronchovascular or diffuse. Similar to the chest radiograph distribution, if more than one pattern was involved the diffuse descriptor for distribution was selected. Lobar involvement was also recorded based on the normal anatomical division of the right and left lung lobes (right upper, middle and lower and left upper and lower). Each lobe involved in the CT was selected.\nOther findings that were recorded included pleural effusions, lymphadenopathy, pulmonary nodules, scarring and presence of pulmonary embolism on CT pulmonary angiograms.\nV/Q scan descriptors V/Q scans were analysed as either with findings or without findings. The V/Q scans recorded in this study were either performed just prior to a positive COVID swab or after the acute episode of COVID as follow‐up imaging.\nV/Q scans were analysed as either with findings or without findings. The V/Q scans recorded in this study were either performed just prior to a positive COVID swab or after the acute episode of COVID as follow‐up imaging.\nEvaluation of readers Between the five assessors, the senior radiology registrar reviewed all 661 studies. The consultant radiologists each reviewed 20 studies, 20 of which were also reviewed by the radiology registrar and 10 reviewed by another consultant radiologist. Fleiss kappa values were calculated to assess inter‐rater variability between all five assessors for chest radiograph distribution (peripheral, central and diffuse) as well as for each of the six lung zones. A qualitative assessment of the responses of the five assessors was performed with all discrepancies reviewed.\nBetween the five assessors, the senior radiology registrar reviewed all 661 studies. The consultant radiologists each reviewed 20 studies, 20 of which were also reviewed by the radiology registrar and 10 reviewed by another consultant radiologist. Fleiss kappa values were calculated to assess inter‐rater variability between all five assessors for chest radiograph distribution (peripheral, central and diffuse) as well as for each of the six lung zones. A qualitative assessment of the responses of the five assessors was performed with all discrepancies reviewed.", "Chest radiograph descriptors were divided into zone involvement, distribution and findings. The chest radiograph was divided into six zones, right upper, right middle, right lower, left upper, left middle and left lower (Fig. 1). This method of dividing the lungs into thirds is commonly used in reporting and has been proposed for the reporting of COVID‐19 chest radiographs.\n9\n\n\nThe chest X‐rays were distributed into six zones as illustrated.\nThe distribution of the lung changes were also classified into three categories: peripheral, central and diffuse (Fig. 2). Peripheral distribution was selected when only peripheral opacities were present. Central distribution was selected when only central opacities were present. A diffuse distribution was selected if there were opacities that either crossed both regions or were both peripheral and central. Figure 3 demonstrates a chest radiograph with a peripheral distribution.\nDescriptors for the distribution of opacity.\nChest radiograph with a peripheral distribution.\nOther findings recorded included the presence of pleural effusions or interstitial change.", "CT characteristics were classified according to pattern, distribution, lobe involvement and other findings. The CT descriptors were used for all chest CT imaging including pre‐ and post‐contrast CT chests such as pulmonary angiograms.\nCT patterns reviewed were based on patterns described in the literature.\n10\n Patterns that were included were ground glass opacities, consolidation, ground glass with consolidation, crazy paving pattern, reverse halo, interlobular septal thickening and air bronchograms.\nDistribution on CT was divided into peripheral, central, peribronchovascular or diffuse. Similar to the chest radiograph distribution, if more than one pattern was involved the diffuse descriptor for distribution was selected. Lobar involvement was also recorded based on the normal anatomical division of the right and left lung lobes (right upper, middle and lower and left upper and lower). Each lobe involved in the CT was selected.\nOther findings that were recorded included pleural effusions, lymphadenopathy, pulmonary nodules, scarring and presence of pulmonary embolism on CT pulmonary angiograms.", "V/Q scans were analysed as either with findings or without findings. The V/Q scans recorded in this study were either performed just prior to a positive COVID swab or after the acute episode of COVID as follow‐up imaging.", "Between the five assessors, the senior radiology registrar reviewed all 661 studies. The consultant radiologists each reviewed 20 studies, 20 of which were also reviewed by the radiology registrar and 10 reviewed by another consultant radiologist. Fleiss kappa values were calculated to assess inter‐rater variability between all five assessors for chest radiograph distribution (peripheral, central and diffuse) as well as for each of the six lung zones. A qualitative assessment of the responses of the five assessors was performed with all discrepancies reviewed.", "A total of 681 studies (616 Chest X‐Rays, 59 CTs, six V/Q scans) from 181 patients were reviewed. Of the 181 patients, there were 92 females and 89 males with a mean age of 61.99 (range 16–101).\nChest radiograph findings A total of 103 (17%) of radiographs performed were normal with no findings. Three chest radiographs were considered not suitable for evaluation as they did not have the entire chest in view for evaluation. The most commonly involved zones were the left lower zone (n = 441, 72%) and right lower zone (n = 433, 70%). The least involved zone was the left upper zone (n = 112, 18%). The distribution in each lung zone is shown in Table 1. Findings in both lungs (n = 417, 67%) were demonstrated more often than unilateral findings (n = 239, 39%). The most common pattern of distribution was a diffuse pattern (n = 351, 57%) followed by a peripheral pattern (n = 146, 24%) with the least common pattern of distribution being central (n = 13, 2%). In the other findings evaluated, 3% had pleural effusions and 3% had interstitial change.\nDistribution of changes in each zone on chest radiograph\nA total of 103 (17%) of radiographs performed were normal with no findings. Three chest radiographs were considered not suitable for evaluation as they did not have the entire chest in view for evaluation. The most commonly involved zones were the left lower zone (n = 441, 72%) and right lower zone (n = 433, 70%). The least involved zone was the left upper zone (n = 112, 18%). The distribution in each lung zone is shown in Table 1. Findings in both lungs (n = 417, 67%) were demonstrated more often than unilateral findings (n = 239, 39%). The most common pattern of distribution was a diffuse pattern (n = 351, 57%) followed by a peripheral pattern (n = 146, 24%) with the least common pattern of distribution being central (n = 13, 2%). In the other findings evaluated, 3% had pleural effusions and 3% had interstitial change.\nDistribution of changes in each zone on chest radiograph\nCT findings Of the 59 CTs, nine were performed as follow‐up after the acute episode. Ten (17%) CTs performed were normal. Of these normal CT studies, two were in follow‐up CT scans. Thirty‐three of the scans were CT pulmonary angiograms, with five positive for pulmonary embolism. The most common patterns demonstrated on CT imaging were ground glass opacity (n = 20, 45%) and ground glass with consolidation (n = 20, 34%). The most common distribution demonstrated on CT was peripheral (n = 29, 49%) and peribronchovascular (n = 16, 27%). The most commonly involved lobe was the right lower lobe (n = 42, 71%) followed by the left lower lobe (n = 41, 69%). Bilateral involvement (n = 45, 76%) was more common than unilateral involvement (n = 3, 6%). In the other findings evaluated, four demonstrated pleural effusion (n = 4, 7%), two cases demonstrated lymphadenopathy and five cases demonstrated pulmonary nodules. Scarring was observed in three cases, two of which were in follow‐up CT scans. An example CT demonstrating peripheral regions of consolidation, ground glass and air bronchograms is shown in Figure 4.\nCT chest performed on a COVID‐19‐positive patient with regions of peripheral consolidation, ground glass opacity and air bronchograms which are lower lobe predominant.\nOf the 59 CTs, nine were performed as follow‐up after the acute episode. Ten (17%) CTs performed were normal. Of these normal CT studies, two were in follow‐up CT scans. Thirty‐three of the scans were CT pulmonary angiograms, with five positive for pulmonary embolism. The most common patterns demonstrated on CT imaging were ground glass opacity (n = 20, 45%) and ground glass with consolidation (n = 20, 34%). The most common distribution demonstrated on CT was peripheral (n = 29, 49%) and peribronchovascular (n = 16, 27%). The most commonly involved lobe was the right lower lobe (n = 42, 71%) followed by the left lower lobe (n = 41, 69%). Bilateral involvement (n = 45, 76%) was more common than unilateral involvement (n = 3, 6%). In the other findings evaluated, four demonstrated pleural effusion (n = 4, 7%), two cases demonstrated lymphadenopathy and five cases demonstrated pulmonary nodules. Scarring was observed in three cases, two of which were in follow‐up CT scans. An example CT demonstrating peripheral regions of consolidation, ground glass and air bronchograms is shown in Figure 4.\nCT chest performed on a COVID‐19‐positive patient with regions of peripheral consolidation, ground glass opacity and air bronchograms which are lower lobe predominant.\nV/Q scan findings Of the six V/Q scans performed, two (33%) demonstrated findings and four (67%) were normal. One V/Q scan was performed 7 days prior to the positive COVID test and 4 days prior to the onset of symptoms to investigate a 6 month history of chest pain. The V/Q scan was negative for pulmonary embolism with bronchopulmonary changes seen in the left apex on both ventilation and perfusion images (Fig. 5). Although CT chest two days later demonstrated no correlative changes, bilateral regions of opacification were subsequently demonstrated on CXR 7 days after the V/Q scan. The other positive V/Q scan was requested for follow‐up of pulmonary emboli demonstrated on CT pulmonary angiogram on admission. This V/Q scan demonstrated mild heterogeneous tracer uptake in both lungs.\nV/Q scan (a) in a patient who subsequently became COVID‐19 positive with bilateral regions of opacification on CXR performed 7 days after the V/Q scan (b).\nOf the six V/Q scans performed, two (33%) demonstrated findings and four (67%) were normal. One V/Q scan was performed 7 days prior to the positive COVID test and 4 days prior to the onset of symptoms to investigate a 6 month history of chest pain. The V/Q scan was negative for pulmonary embolism with bronchopulmonary changes seen in the left apex on both ventilation and perfusion images (Fig. 5). Although CT chest two days later demonstrated no correlative changes, bilateral regions of opacification were subsequently demonstrated on CXR 7 days after the V/Q scan. The other positive V/Q scan was requested for follow‐up of pulmonary emboli demonstrated on CT pulmonary angiogram on admission. This V/Q scan demonstrated mild heterogeneous tracer uptake in both lungs.\nV/Q scan (a) in a patient who subsequently became COVID‐19 positive with bilateral regions of opacification on CXR performed 7 days after the V/Q scan (b).\nEvaluation of readers Moderate agreement was demonstrated between the readers for assessment of distribution on the chest radiograph (peripheral, central, diffuse) with a Fleiss Kappa value of 0.42 (P‐value < 0.05). The Fleiss Kappa values of the inter‐rater agreement for the distribution of the opacities in zones ranged from fair to substantial agreement with Fleiss kappa values ranging from 0.29 to 0.73 (P‐value < 0.05).\nA qualitative assessment performed on the CTs read by all consultant radiologists demonstrated consistency in labelling of the lobe involvement. There was a general consensus for the presence of ground glass opacity, air bronchograms and ground glass with consolidation.\nModerate agreement was demonstrated between the readers for assessment of distribution on the chest radiograph (peripheral, central, diffuse) with a Fleiss Kappa value of 0.42 (P‐value < 0.05). The Fleiss Kappa values of the inter‐rater agreement for the distribution of the opacities in zones ranged from fair to substantial agreement with Fleiss kappa values ranging from 0.29 to 0.73 (P‐value < 0.05).\nA qualitative assessment performed on the CTs read by all consultant radiologists demonstrated consistency in labelling of the lobe involvement. There was a general consensus for the presence of ground glass opacity, air bronchograms and ground glass with consolidation.", "A total of 103 (17%) of radiographs performed were normal with no findings. Three chest radiographs were considered not suitable for evaluation as they did not have the entire chest in view for evaluation. The most commonly involved zones were the left lower zone (n = 441, 72%) and right lower zone (n = 433, 70%). The least involved zone was the left upper zone (n = 112, 18%). The distribution in each lung zone is shown in Table 1. Findings in both lungs (n = 417, 67%) were demonstrated more often than unilateral findings (n = 239, 39%). The most common pattern of distribution was a diffuse pattern (n = 351, 57%) followed by a peripheral pattern (n = 146, 24%) with the least common pattern of distribution being central (n = 13, 2%). In the other findings evaluated, 3% had pleural effusions and 3% had interstitial change.\nDistribution of changes in each zone on chest radiograph", "Of the 59 CTs, nine were performed as follow‐up after the acute episode. Ten (17%) CTs performed were normal. Of these normal CT studies, two were in follow‐up CT scans. Thirty‐three of the scans were CT pulmonary angiograms, with five positive for pulmonary embolism. The most common patterns demonstrated on CT imaging were ground glass opacity (n = 20, 45%) and ground glass with consolidation (n = 20, 34%). The most common distribution demonstrated on CT was peripheral (n = 29, 49%) and peribronchovascular (n = 16, 27%). The most commonly involved lobe was the right lower lobe (n = 42, 71%) followed by the left lower lobe (n = 41, 69%). Bilateral involvement (n = 45, 76%) was more common than unilateral involvement (n = 3, 6%). In the other findings evaluated, four demonstrated pleural effusion (n = 4, 7%), two cases demonstrated lymphadenopathy and five cases demonstrated pulmonary nodules. Scarring was observed in three cases, two of which were in follow‐up CT scans. An example CT demonstrating peripheral regions of consolidation, ground glass and air bronchograms is shown in Figure 4.\nCT chest performed on a COVID‐19‐positive patient with regions of peripheral consolidation, ground glass opacity and air bronchograms which are lower lobe predominant.", "Of the six V/Q scans performed, two (33%) demonstrated findings and four (67%) were normal. One V/Q scan was performed 7 days prior to the positive COVID test and 4 days prior to the onset of symptoms to investigate a 6 month history of chest pain. The V/Q scan was negative for pulmonary embolism with bronchopulmonary changes seen in the left apex on both ventilation and perfusion images (Fig. 5). Although CT chest two days later demonstrated no correlative changes, bilateral regions of opacification were subsequently demonstrated on CXR 7 days after the V/Q scan. The other positive V/Q scan was requested for follow‐up of pulmonary emboli demonstrated on CT pulmonary angiogram on admission. This V/Q scan demonstrated mild heterogeneous tracer uptake in both lungs.\nV/Q scan (a) in a patient who subsequently became COVID‐19 positive with bilateral regions of opacification on CXR performed 7 days after the V/Q scan (b).", "Moderate agreement was demonstrated between the readers for assessment of distribution on the chest radiograph (peripheral, central, diffuse) with a Fleiss Kappa value of 0.42 (P‐value < 0.05). The Fleiss Kappa values of the inter‐rater agreement for the distribution of the opacities in zones ranged from fair to substantial agreement with Fleiss kappa values ranging from 0.29 to 0.73 (P‐value < 0.05).\nA qualitative assessment performed on the CTs read by all consultant radiologists demonstrated consistency in labelling of the lobe involvement. There was a general consensus for the presence of ground glass opacity, air bronchograms and ground glass with consolidation.", "A review of imaging in an Australian tertiary hospital demonstrates similar trends on chest radiographs with those described in the literature of international populations with predominantly bilateral mid to lower zone regions of opacification.\n3\n, \n11\n The population had approximately 17% normal chest radiographs which is slightly lower than what has been reported in other populations but comparable to those reported in hospitalised patients.\n4\n, \n12\n Another factor that would have contributed to a higher percentage of radiographs with findings in this population would be that individuals who were hospitalised received a greater number of radiographs when compared to those managed in the emergency department and discharged for community treatment. Furthermore, this cohort demonstrated a greater number of radiographs with a diffuse distribution of findings instead of a peripheral only distribution which likely reflects the acuity of the patient population who present to hospital.\nLitmanovich et al.\n9\n proposed a suggested reporting language for the review of chest radiograph findings of COVID‐19 pneumonia. The authors proposed a reporting language for grading the severity of lung disease using a modified version of a scoring system used in quantifying the severity of acute respiratory distress syndrome. The authors base their grading on the number of lung zones involved, dividing the lung into six zones, similar to what was performed in this study. Mild with involvement of 1–2 lung zones, moderate with opacities in 3–4 lung zones and severe > 4 lung zones. This standardisation in reporting is thought to be helpful in assessing progression over multiple radiographs in a patient with COVID‐19. Our study demonstrates that there is a fair to substantial inter‐rater agreement in the evaluation of opacities in zones which may indicate that such a proposed reporting system may be useful in this clinical setting.\nCT imaging findings described in this population were similar to the characteristics described on CT of a systematic review performed on 919 patients with coronavirus disease with predominantly bilateral and peripheral involvement demonstrated. A large proportion of CTs in this study also demonstrated multilobar involvement, similar to that in the literature, reflecting the severity of symptoms in patients who receive cross sectional imaging.\nCOVID‐19 can cause microvascular injury and is associated with a procoagulant state increasing the risk of thromboembolic disease.\n8\n, \n13\n Greater than half of the CT chest scans performed on COVID‐19‐positive patients were CT pulmonary angiograms with five positive for pulmonary emboli demonstrating that the symptoms of PE may mimic or overlap with those of COVID‐19 infection.\nAlthough V/Q imaging does play a role in the diagnosis of thromboembolic disease especially in those with impaired renal function, the use of ventilation images in COVID‐19‐positive patients is discouraged due to its potential risk of spread of infection.\n14\n All V/Q imaging included in this study was either performed after a negative COVID‐19 swab during an acute episode, or prior to a subsequent positive COVID‐19 swab, without clinical suspicion of the diagnosis at time of study.\nIn conclusion, a review of imaging in an Australian tertiary hospital demonstrates similar trends on chest X‐ray and CT imaging when compared to the international population. A propensity for a number of radiographs with diffuse findings may reflect the acuity of the patients who present to hospital." ]
[ null, "methods", null, null, null, null, "results", null, null, null, null, "discussion" ]
[ "chest CT", "chest imaging", "chest radiograph", "COVID‐19", "VQ" ]
Introduction: Coronavirus disease 2019 (COVID‐19) was first described in late 2019 where the first cluster of cases was reported in Wuhan, Hubei Province, China. 1 COVID‐19 has since spread globally and on 11 March, 2020 the World Health Organisation (WHO) officially characterised COVID‐19 as a pandemic. As of 3rd October 2021, over 215 million individuals have been infected worldwide resulting in significant mortality and morbidity. The first case of COVID‐19 in Australia was confirmed on the 25th January 2020, and by 3rd October 2021 Australia has had more than 110,000 cases which have resulted in over 1000 deaths. Chest radiographs (CXR) and computed tomography (CT) have frequently been utilised in assistance with diagnosis and assessment of progression of disease. A multinational consensus statement from the Fleischner society describes the role of chest imaging in the management of COVID‐19, recommending that imaging is not indicated in patients suspected of having COVID‐19 with mild clinical features, but is recommended for patients at risk for disease progression and in those with worsening respiratory status. 2 Imaging of patients with COVID‐19 infection has raised challenges in ensuring that studies are performed appropriately whilst ensuring the safety of health personnel. Whilst the CXR is low in sensitivity, it can be highly suggestive of COVID‐19 in the correct clinical setting when the radiographs exhibit characteristic COVID‐19 findings. 3 Typical findings include a peripheral mid to lower zone lung distribution of opacification. 3 , 4 CT imaging is not recommended for screening or as a first line test to diagnose COVID‐19 and should be used sparingly, for hospitalised, symptomatic patients with specific clinical indications. 5 , 6 The Royal Australian and New Zealand College of Radiologists (RANZCR) recommendation for CT technique in the setting of COVID‐19 is a volumetric CT of the entire chest at end inspiration, with reconstruction of contiguous high‐resolution (HR) images at 0.625–1.5 mm for assessment of the lungs. Studies have demonstrated that COVID‐19 can cause microvascular injuries resulting in a procoagulant state. 5 The role of computed tomography pulmonary angiography (CTPA) is reserved for the detection of pulmonary emboli in individuals who have clinical deterioration. 7 Characteristic CT findings include bilateral, peripheral and basal predominant ground glass opacities and consolidation. 8 Consolidation superimposed on ground glass opacity is found in a small number of cases, predominantly in the elderly. 7 This study describes the imaging findings of 180 patients who presented to The Royal Melbourne Hospital (an Australian tertiary hospital), evaluating the patterns demonstrated on CXR, CT and ventilation perfusion (V/Q) scans. Methods: The retrospective review was approved by the ethics committee through the quality assurance pathway. COVID‐PCR‐positive patients who had chest imaging (CXR, CT and V/Q scans) from January 2020 to August 2020 were included. The imaging was evaluated by a senior radiology registrar and four subspecialty chest radiologists including one dual trained radiologist and nuclear medicine specialist. Imaging performed within 5 days prior to the COVID‐PCR‐positive test was also included to account for the potential lag time between onset of infection and a COVID‐PCR‐positive test. A set of descriptors were developed for the purposes of labelling based on descriptors in the current literature. Chest radiograph descriptors Chest radiograph descriptors were divided into zone involvement, distribution and findings. The chest radiograph was divided into six zones, right upper, right middle, right lower, left upper, left middle and left lower (Fig. 1). This method of dividing the lungs into thirds is commonly used in reporting and has been proposed for the reporting of COVID‐19 chest radiographs. 9 The chest X‐rays were distributed into six zones as illustrated. The distribution of the lung changes were also classified into three categories: peripheral, central and diffuse (Fig. 2). Peripheral distribution was selected when only peripheral opacities were present. Central distribution was selected when only central opacities were present. A diffuse distribution was selected if there were opacities that either crossed both regions or were both peripheral and central. Figure 3 demonstrates a chest radiograph with a peripheral distribution. Descriptors for the distribution of opacity. Chest radiograph with a peripheral distribution. Other findings recorded included the presence of pleural effusions or interstitial change. Chest radiograph descriptors were divided into zone involvement, distribution and findings. The chest radiograph was divided into six zones, right upper, right middle, right lower, left upper, left middle and left lower (Fig. 1). This method of dividing the lungs into thirds is commonly used in reporting and has been proposed for the reporting of COVID‐19 chest radiographs. 9 The chest X‐rays were distributed into six zones as illustrated. The distribution of the lung changes were also classified into three categories: peripheral, central and diffuse (Fig. 2). Peripheral distribution was selected when only peripheral opacities were present. Central distribution was selected when only central opacities were present. A diffuse distribution was selected if there were opacities that either crossed both regions or were both peripheral and central. Figure 3 demonstrates a chest radiograph with a peripheral distribution. Descriptors for the distribution of opacity. Chest radiograph with a peripheral distribution. Other findings recorded included the presence of pleural effusions or interstitial change. CT descriptors CT characteristics were classified according to pattern, distribution, lobe involvement and other findings. The CT descriptors were used for all chest CT imaging including pre‐ and post‐contrast CT chests such as pulmonary angiograms. CT patterns reviewed were based on patterns described in the literature. 10 Patterns that were included were ground glass opacities, consolidation, ground glass with consolidation, crazy paving pattern, reverse halo, interlobular septal thickening and air bronchograms. Distribution on CT was divided into peripheral, central, peribronchovascular or diffuse. Similar to the chest radiograph distribution, if more than one pattern was involved the diffuse descriptor for distribution was selected. Lobar involvement was also recorded based on the normal anatomical division of the right and left lung lobes (right upper, middle and lower and left upper and lower). Each lobe involved in the CT was selected. Other findings that were recorded included pleural effusions, lymphadenopathy, pulmonary nodules, scarring and presence of pulmonary embolism on CT pulmonary angiograms. CT characteristics were classified according to pattern, distribution, lobe involvement and other findings. The CT descriptors were used for all chest CT imaging including pre‐ and post‐contrast CT chests such as pulmonary angiograms. CT patterns reviewed were based on patterns described in the literature. 10 Patterns that were included were ground glass opacities, consolidation, ground glass with consolidation, crazy paving pattern, reverse halo, interlobular septal thickening and air bronchograms. Distribution on CT was divided into peripheral, central, peribronchovascular or diffuse. Similar to the chest radiograph distribution, if more than one pattern was involved the diffuse descriptor for distribution was selected. Lobar involvement was also recorded based on the normal anatomical division of the right and left lung lobes (right upper, middle and lower and left upper and lower). Each lobe involved in the CT was selected. Other findings that were recorded included pleural effusions, lymphadenopathy, pulmonary nodules, scarring and presence of pulmonary embolism on CT pulmonary angiograms. V/Q scan descriptors V/Q scans were analysed as either with findings or without findings. The V/Q scans recorded in this study were either performed just prior to a positive COVID swab or after the acute episode of COVID as follow‐up imaging. V/Q scans were analysed as either with findings or without findings. The V/Q scans recorded in this study were either performed just prior to a positive COVID swab or after the acute episode of COVID as follow‐up imaging. Evaluation of readers Between the five assessors, the senior radiology registrar reviewed all 661 studies. The consultant radiologists each reviewed 20 studies, 20 of which were also reviewed by the radiology registrar and 10 reviewed by another consultant radiologist. Fleiss kappa values were calculated to assess inter‐rater variability between all five assessors for chest radiograph distribution (peripheral, central and diffuse) as well as for each of the six lung zones. A qualitative assessment of the responses of the five assessors was performed with all discrepancies reviewed. Between the five assessors, the senior radiology registrar reviewed all 661 studies. The consultant radiologists each reviewed 20 studies, 20 of which were also reviewed by the radiology registrar and 10 reviewed by another consultant radiologist. Fleiss kappa values were calculated to assess inter‐rater variability between all five assessors for chest radiograph distribution (peripheral, central and diffuse) as well as for each of the six lung zones. A qualitative assessment of the responses of the five assessors was performed with all discrepancies reviewed. Chest radiograph descriptors: Chest radiograph descriptors were divided into zone involvement, distribution and findings. The chest radiograph was divided into six zones, right upper, right middle, right lower, left upper, left middle and left lower (Fig. 1). This method of dividing the lungs into thirds is commonly used in reporting and has been proposed for the reporting of COVID‐19 chest radiographs. 9 The chest X‐rays were distributed into six zones as illustrated. The distribution of the lung changes were also classified into three categories: peripheral, central and diffuse (Fig. 2). Peripheral distribution was selected when only peripheral opacities were present. Central distribution was selected when only central opacities were present. A diffuse distribution was selected if there were opacities that either crossed both regions or were both peripheral and central. Figure 3 demonstrates a chest radiograph with a peripheral distribution. Descriptors for the distribution of opacity. Chest radiograph with a peripheral distribution. Other findings recorded included the presence of pleural effusions or interstitial change. CT descriptors: CT characteristics were classified according to pattern, distribution, lobe involvement and other findings. The CT descriptors were used for all chest CT imaging including pre‐ and post‐contrast CT chests such as pulmonary angiograms. CT patterns reviewed were based on patterns described in the literature. 10 Patterns that were included were ground glass opacities, consolidation, ground glass with consolidation, crazy paving pattern, reverse halo, interlobular septal thickening and air bronchograms. Distribution on CT was divided into peripheral, central, peribronchovascular or diffuse. Similar to the chest radiograph distribution, if more than one pattern was involved the diffuse descriptor for distribution was selected. Lobar involvement was also recorded based on the normal anatomical division of the right and left lung lobes (right upper, middle and lower and left upper and lower). Each lobe involved in the CT was selected. Other findings that were recorded included pleural effusions, lymphadenopathy, pulmonary nodules, scarring and presence of pulmonary embolism on CT pulmonary angiograms. V/Q scan descriptors: V/Q scans were analysed as either with findings or without findings. The V/Q scans recorded in this study were either performed just prior to a positive COVID swab or after the acute episode of COVID as follow‐up imaging. Evaluation of readers: Between the five assessors, the senior radiology registrar reviewed all 661 studies. The consultant radiologists each reviewed 20 studies, 20 of which were also reviewed by the radiology registrar and 10 reviewed by another consultant radiologist. Fleiss kappa values were calculated to assess inter‐rater variability between all five assessors for chest radiograph distribution (peripheral, central and diffuse) as well as for each of the six lung zones. A qualitative assessment of the responses of the five assessors was performed with all discrepancies reviewed. Results: A total of 681 studies (616 Chest X‐Rays, 59 CTs, six V/Q scans) from 181 patients were reviewed. Of the 181 patients, there were 92 females and 89 males with a mean age of 61.99 (range 16–101). Chest radiograph findings A total of 103 (17%) of radiographs performed were normal with no findings. Three chest radiographs were considered not suitable for evaluation as they did not have the entire chest in view for evaluation. The most commonly involved zones were the left lower zone (n = 441, 72%) and right lower zone (n = 433, 70%). The least involved zone was the left upper zone (n = 112, 18%). The distribution in each lung zone is shown in Table 1. Findings in both lungs (n = 417, 67%) were demonstrated more often than unilateral findings (n = 239, 39%). The most common pattern of distribution was a diffuse pattern (n = 351, 57%) followed by a peripheral pattern (n = 146, 24%) with the least common pattern of distribution being central (n = 13, 2%). In the other findings evaluated, 3% had pleural effusions and 3% had interstitial change. Distribution of changes in each zone on chest radiograph A total of 103 (17%) of radiographs performed were normal with no findings. Three chest radiographs were considered not suitable for evaluation as they did not have the entire chest in view for evaluation. The most commonly involved zones were the left lower zone (n = 441, 72%) and right lower zone (n = 433, 70%). The least involved zone was the left upper zone (n = 112, 18%). The distribution in each lung zone is shown in Table 1. Findings in both lungs (n = 417, 67%) were demonstrated more often than unilateral findings (n = 239, 39%). The most common pattern of distribution was a diffuse pattern (n = 351, 57%) followed by a peripheral pattern (n = 146, 24%) with the least common pattern of distribution being central (n = 13, 2%). In the other findings evaluated, 3% had pleural effusions and 3% had interstitial change. Distribution of changes in each zone on chest radiograph CT findings Of the 59 CTs, nine were performed as follow‐up after the acute episode. Ten (17%) CTs performed were normal. Of these normal CT studies, two were in follow‐up CT scans. Thirty‐three of the scans were CT pulmonary angiograms, with five positive for pulmonary embolism. The most common patterns demonstrated on CT imaging were ground glass opacity (n = 20, 45%) and ground glass with consolidation (n = 20, 34%). The most common distribution demonstrated on CT was peripheral (n = 29, 49%) and peribronchovascular (n = 16, 27%). The most commonly involved lobe was the right lower lobe (n = 42, 71%) followed by the left lower lobe (n = 41, 69%). Bilateral involvement (n = 45, 76%) was more common than unilateral involvement (n = 3, 6%). In the other findings evaluated, four demonstrated pleural effusion (n = 4, 7%), two cases demonstrated lymphadenopathy and five cases demonstrated pulmonary nodules. Scarring was observed in three cases, two of which were in follow‐up CT scans. An example CT demonstrating peripheral regions of consolidation, ground glass and air bronchograms is shown in Figure 4. CT chest performed on a COVID‐19‐positive patient with regions of peripheral consolidation, ground glass opacity and air bronchograms which are lower lobe predominant. Of the 59 CTs, nine were performed as follow‐up after the acute episode. Ten (17%) CTs performed were normal. Of these normal CT studies, two were in follow‐up CT scans. Thirty‐three of the scans were CT pulmonary angiograms, with five positive for pulmonary embolism. The most common patterns demonstrated on CT imaging were ground glass opacity (n = 20, 45%) and ground glass with consolidation (n = 20, 34%). The most common distribution demonstrated on CT was peripheral (n = 29, 49%) and peribronchovascular (n = 16, 27%). The most commonly involved lobe was the right lower lobe (n = 42, 71%) followed by the left lower lobe (n = 41, 69%). Bilateral involvement (n = 45, 76%) was more common than unilateral involvement (n = 3, 6%). In the other findings evaluated, four demonstrated pleural effusion (n = 4, 7%), two cases demonstrated lymphadenopathy and five cases demonstrated pulmonary nodules. Scarring was observed in three cases, two of which were in follow‐up CT scans. An example CT demonstrating peripheral regions of consolidation, ground glass and air bronchograms is shown in Figure 4. CT chest performed on a COVID‐19‐positive patient with regions of peripheral consolidation, ground glass opacity and air bronchograms which are lower lobe predominant. V/Q scan findings Of the six V/Q scans performed, two (33%) demonstrated findings and four (67%) were normal. One V/Q scan was performed 7 days prior to the positive COVID test and 4 days prior to the onset of symptoms to investigate a 6 month history of chest pain. The V/Q scan was negative for pulmonary embolism with bronchopulmonary changes seen in the left apex on both ventilation and perfusion images (Fig. 5). Although CT chest two days later demonstrated no correlative changes, bilateral regions of opacification were subsequently demonstrated on CXR 7 days after the V/Q scan. The other positive V/Q scan was requested for follow‐up of pulmonary emboli demonstrated on CT pulmonary angiogram on admission. This V/Q scan demonstrated mild heterogeneous tracer uptake in both lungs. V/Q scan (a) in a patient who subsequently became COVID‐19 positive with bilateral regions of opacification on CXR performed 7 days after the V/Q scan (b). Of the six V/Q scans performed, two (33%) demonstrated findings and four (67%) were normal. One V/Q scan was performed 7 days prior to the positive COVID test and 4 days prior to the onset of symptoms to investigate a 6 month history of chest pain. The V/Q scan was negative for pulmonary embolism with bronchopulmonary changes seen in the left apex on both ventilation and perfusion images (Fig. 5). Although CT chest two days later demonstrated no correlative changes, bilateral regions of opacification were subsequently demonstrated on CXR 7 days after the V/Q scan. The other positive V/Q scan was requested for follow‐up of pulmonary emboli demonstrated on CT pulmonary angiogram on admission. This V/Q scan demonstrated mild heterogeneous tracer uptake in both lungs. V/Q scan (a) in a patient who subsequently became COVID‐19 positive with bilateral regions of opacification on CXR performed 7 days after the V/Q scan (b). Evaluation of readers Moderate agreement was demonstrated between the readers for assessment of distribution on the chest radiograph (peripheral, central, diffuse) with a Fleiss Kappa value of 0.42 (P‐value < 0.05). The Fleiss Kappa values of the inter‐rater agreement for the distribution of the opacities in zones ranged from fair to substantial agreement with Fleiss kappa values ranging from 0.29 to 0.73 (P‐value < 0.05). A qualitative assessment performed on the CTs read by all consultant radiologists demonstrated consistency in labelling of the lobe involvement. There was a general consensus for the presence of ground glass opacity, air bronchograms and ground glass with consolidation. Moderate agreement was demonstrated between the readers for assessment of distribution on the chest radiograph (peripheral, central, diffuse) with a Fleiss Kappa value of 0.42 (P‐value < 0.05). The Fleiss Kappa values of the inter‐rater agreement for the distribution of the opacities in zones ranged from fair to substantial agreement with Fleiss kappa values ranging from 0.29 to 0.73 (P‐value < 0.05). A qualitative assessment performed on the CTs read by all consultant radiologists demonstrated consistency in labelling of the lobe involvement. There was a general consensus for the presence of ground glass opacity, air bronchograms and ground glass with consolidation. Chest radiograph findings: A total of 103 (17%) of radiographs performed were normal with no findings. Three chest radiographs were considered not suitable for evaluation as they did not have the entire chest in view for evaluation. The most commonly involved zones were the left lower zone (n = 441, 72%) and right lower zone (n = 433, 70%). The least involved zone was the left upper zone (n = 112, 18%). The distribution in each lung zone is shown in Table 1. Findings in both lungs (n = 417, 67%) were demonstrated more often than unilateral findings (n = 239, 39%). The most common pattern of distribution was a diffuse pattern (n = 351, 57%) followed by a peripheral pattern (n = 146, 24%) with the least common pattern of distribution being central (n = 13, 2%). In the other findings evaluated, 3% had pleural effusions and 3% had interstitial change. Distribution of changes in each zone on chest radiograph CT findings: Of the 59 CTs, nine were performed as follow‐up after the acute episode. Ten (17%) CTs performed were normal. Of these normal CT studies, two were in follow‐up CT scans. Thirty‐three of the scans were CT pulmonary angiograms, with five positive for pulmonary embolism. The most common patterns demonstrated on CT imaging were ground glass opacity (n = 20, 45%) and ground glass with consolidation (n = 20, 34%). The most common distribution demonstrated on CT was peripheral (n = 29, 49%) and peribronchovascular (n = 16, 27%). The most commonly involved lobe was the right lower lobe (n = 42, 71%) followed by the left lower lobe (n = 41, 69%). Bilateral involvement (n = 45, 76%) was more common than unilateral involvement (n = 3, 6%). In the other findings evaluated, four demonstrated pleural effusion (n = 4, 7%), two cases demonstrated lymphadenopathy and five cases demonstrated pulmonary nodules. Scarring was observed in three cases, two of which were in follow‐up CT scans. An example CT demonstrating peripheral regions of consolidation, ground glass and air bronchograms is shown in Figure 4. CT chest performed on a COVID‐19‐positive patient with regions of peripheral consolidation, ground glass opacity and air bronchograms which are lower lobe predominant. V/Q scan findings: Of the six V/Q scans performed, two (33%) demonstrated findings and four (67%) were normal. One V/Q scan was performed 7 days prior to the positive COVID test and 4 days prior to the onset of symptoms to investigate a 6 month history of chest pain. The V/Q scan was negative for pulmonary embolism with bronchopulmonary changes seen in the left apex on both ventilation and perfusion images (Fig. 5). Although CT chest two days later demonstrated no correlative changes, bilateral regions of opacification were subsequently demonstrated on CXR 7 days after the V/Q scan. The other positive V/Q scan was requested for follow‐up of pulmonary emboli demonstrated on CT pulmonary angiogram on admission. This V/Q scan demonstrated mild heterogeneous tracer uptake in both lungs. V/Q scan (a) in a patient who subsequently became COVID‐19 positive with bilateral regions of opacification on CXR performed 7 days after the V/Q scan (b). Evaluation of readers: Moderate agreement was demonstrated between the readers for assessment of distribution on the chest radiograph (peripheral, central, diffuse) with a Fleiss Kappa value of 0.42 (P‐value < 0.05). The Fleiss Kappa values of the inter‐rater agreement for the distribution of the opacities in zones ranged from fair to substantial agreement with Fleiss kappa values ranging from 0.29 to 0.73 (P‐value < 0.05). A qualitative assessment performed on the CTs read by all consultant radiologists demonstrated consistency in labelling of the lobe involvement. There was a general consensus for the presence of ground glass opacity, air bronchograms and ground glass with consolidation. Discussion: A review of imaging in an Australian tertiary hospital demonstrates similar trends on chest radiographs with those described in the literature of international populations with predominantly bilateral mid to lower zone regions of opacification. 3 , 11 The population had approximately 17% normal chest radiographs which is slightly lower than what has been reported in other populations but comparable to those reported in hospitalised patients. 4 , 12 Another factor that would have contributed to a higher percentage of radiographs with findings in this population would be that individuals who were hospitalised received a greater number of radiographs when compared to those managed in the emergency department and discharged for community treatment. Furthermore, this cohort demonstrated a greater number of radiographs with a diffuse distribution of findings instead of a peripheral only distribution which likely reflects the acuity of the patient population who present to hospital. Litmanovich et al. 9 proposed a suggested reporting language for the review of chest radiograph findings of COVID‐19 pneumonia. The authors proposed a reporting language for grading the severity of lung disease using a modified version of a scoring system used in quantifying the severity of acute respiratory distress syndrome. The authors base their grading on the number of lung zones involved, dividing the lung into six zones, similar to what was performed in this study. Mild with involvement of 1–2 lung zones, moderate with opacities in 3–4 lung zones and severe > 4 lung zones. This standardisation in reporting is thought to be helpful in assessing progression over multiple radiographs in a patient with COVID‐19. Our study demonstrates that there is a fair to substantial inter‐rater agreement in the evaluation of opacities in zones which may indicate that such a proposed reporting system may be useful in this clinical setting. CT imaging findings described in this population were similar to the characteristics described on CT of a systematic review performed on 919 patients with coronavirus disease with predominantly bilateral and peripheral involvement demonstrated. A large proportion of CTs in this study also demonstrated multilobar involvement, similar to that in the literature, reflecting the severity of symptoms in patients who receive cross sectional imaging. COVID‐19 can cause microvascular injury and is associated with a procoagulant state increasing the risk of thromboembolic disease. 8 , 13 Greater than half of the CT chest scans performed on COVID‐19‐positive patients were CT pulmonary angiograms with five positive for pulmonary emboli demonstrating that the symptoms of PE may mimic or overlap with those of COVID‐19 infection. Although V/Q imaging does play a role in the diagnosis of thromboembolic disease especially in those with impaired renal function, the use of ventilation images in COVID‐19‐positive patients is discouraged due to its potential risk of spread of infection. 14 All V/Q imaging included in this study was either performed after a negative COVID‐19 swab during an acute episode, or prior to a subsequent positive COVID‐19 swab, without clinical suspicion of the diagnosis at time of study. In conclusion, a review of imaging in an Australian tertiary hospital demonstrates similar trends on chest X‐ray and CT imaging when compared to the international population. A propensity for a number of radiographs with diffuse findings may reflect the acuity of the patients who present to hospital.
Background: Coronavirus disease 2019 (COVID-19) has infected over 215 million individuals worldwide. Chest radiographs (CXR) and computed tomography (CT) have assisted with diagnosis and assessment of COVID-19. Previous reports have described peripheral and lower zone predominant opacities on chest radiographs. Whilst the most common patterns on CT are bilateral, peripheral basal predominant ground glass opacities (Wong et al., Radiology, 296, 2020, E72; Karimian and Azami, Pol J Radiol, 86, 2021, e31). This study describes the imaging findings in an Australian tertiary hospital population. Methods: COVID-PCR-positive patients who had chest imaging (CXR, CT and ventilation perfusion (V/Q) scans) from January 2020 to August 2020 were included. Distribution, location and pattern of involvement was recorded. Evaluation of the assessors was performed using Fleiss Kappa calculations for review of radiographic findings and qualitative analysis of CT findings. Results: A total of 681 studies (616 CXRs, 59 CTs, 6 V/Q) from 181 patients were reviewed. The most common chest radiograph finding was bilateral lower lobe predominant diffuse opacification and most common CT pattern being ground glass opacities. Of the CT imaging, 33 were CT Pulmonary Angiograms of which five demonstrated acute pulmonary emboli. There was good inter-rater agreement between radiologists in assessment of imaging appearances on CXR (kappa 0.29-0.73) and CT studies. Conclusions: A review of imaging in an Australian tertiary hospital demonstrates similar patterns of COVID-19 infection on chest X-ray and CT imaging when compared to the international population.
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5,373
307
[ 494, 196, 187, 44, 92, 222, 285, 196, 115 ]
12
[ "ct", "distribution", "chest", "findings", "demonstrated", "peripheral", "covid", "performed", "pulmonary", "lower" ]
[ "chest performed covid", "findings covid 19", "imaging patients covid", "imaging covid 19", "coronavirus disease 2019" ]
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[CONTENT] chest CT | chest imaging | chest radiograph | COVID‐19 | VQ [SUMMARY]
[CONTENT] chest CT | chest imaging | chest radiograph | COVID‐19 | VQ [SUMMARY]
[CONTENT] chest CT | chest imaging | chest radiograph | COVID‐19 | VQ [SUMMARY]
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[CONTENT] chest CT | chest imaging | chest radiograph | COVID‐19 | VQ [SUMMARY]
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[CONTENT] Australia | COVID-19 | COVID-19 Testing | Humans | Tertiary Care Centers | Tomography, X-Ray Computed [SUMMARY]
[CONTENT] Australia | COVID-19 | COVID-19 Testing | Humans | Tertiary Care Centers | Tomography, X-Ray Computed [SUMMARY]
[CONTENT] Australia | COVID-19 | COVID-19 Testing | Humans | Tertiary Care Centers | Tomography, X-Ray Computed [SUMMARY]
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[CONTENT] Australia | COVID-19 | COVID-19 Testing | Humans | Tertiary Care Centers | Tomography, X-Ray Computed [SUMMARY]
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[CONTENT] chest performed covid | findings covid 19 | imaging patients covid | imaging covid 19 | coronavirus disease 2019 [SUMMARY]
[CONTENT] chest performed covid | findings covid 19 | imaging patients covid | imaging covid 19 | coronavirus disease 2019 [SUMMARY]
[CONTENT] chest performed covid | findings covid 19 | imaging patients covid | imaging covid 19 | coronavirus disease 2019 [SUMMARY]
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[CONTENT] chest performed covid | findings covid 19 | imaging patients covid | imaging covid 19 | coronavirus disease 2019 [SUMMARY]
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[CONTENT] ct | distribution | chest | findings | demonstrated | peripheral | covid | performed | pulmonary | lower [SUMMARY]
[CONTENT] ct | distribution | chest | findings | demonstrated | peripheral | covid | performed | pulmonary | lower [SUMMARY]
[CONTENT] ct | distribution | chest | findings | demonstrated | peripheral | covid | performed | pulmonary | lower [SUMMARY]
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[CONTENT] ct | distribution | chest | findings | demonstrated | peripheral | covid | performed | pulmonary | lower [SUMMARY]
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[CONTENT] 19 | covid 19 | covid | clinical | patients | ct | imaging | disease | cases | cxr [SUMMARY]
[CONTENT] distribution | ct | descriptors | reviewed | chest | selected | peripheral | central | chest radiograph | radiograph [SUMMARY]
[CONTENT] demonstrated | scan | ct | common | days | ground | glass | zone | ground glass | performed [SUMMARY]
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[CONTENT] ct | distribution | chest | demonstrated | findings | covid | peripheral | pulmonary | scan | reviewed [SUMMARY]
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[CONTENT] Coronavirus | 2019 | COVID-19 | over 215 million ||| CXR | COVID-19 ||| ||| CT | Wong | Radiology | 296 | 2020 | E72 | Karimian | Azami | Pol J Radiol | 86 | 2021 ||| Australian [SUMMARY]
[CONTENT] CXR | CT | January 2020 to August 2020 ||| ||| Fleiss Kappa | CT [SUMMARY]
[CONTENT] 681 | 59 | 6 | 181 ||| CT ||| CT | 33 | five ||| CXR | 0.29-0.73 | CT [SUMMARY]
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[CONTENT] 2019 | COVID-19 | over 215 million ||| CXR | COVID-19 ||| ||| CT | Wong | Radiology | 296 | 2020 | E72 | Karimian | Azami | Pol J Radiol | 86 | 2021 ||| Australian ||| CXR | CT | January 2020 to August 2020 ||| ||| Fleiss Kappa | CT ||| 681 | 59 | 6 | 181 ||| CT ||| CT | 33 | five ||| CXR | 0.29-0.73 | CT ||| Australian | COVID-19 | CT [SUMMARY]
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Enhancing osteogenic potential of hDPSCs by resveratrol through reducing oxidative stress via the Sirt1/Nrf2 pathway.
35188840
The osteogenic potential of the human dental pulp stromal cells (hDPSCs) was reduced in the state of oxidative stress. Resveratrol (RSV) possesses numerous biological properties, including osteogenic potential, growth-promoting and antioxidant activities.
CONTEXT
The hDPSCs were subjected to reactive oxygen species (ROS) fluorescence staining, cell proliferation assay, ROS activity assay, superoxide dismutase (SOD) enzyme activity, the glutathione (GSH) concentration assay, alkaline phosphatase staining, real-time polymerase chain reaction (RT-PCR) and Sirt1 immunofluorescence labelling to assess the antioxidant stress and osteogenic ability of RSV. Forty female Kunming mice were divided into Old, Old-RSV, Young and Young-RSV groups to assess the repair of calvarial defects of 0.2 mL RSV of 20 mg/kg/d for seven days by injecting intraperitoneally at 4 weeks after surgery using micro-computed tomography, nonlinear optical microscope and immunohistochemical analysis.
MATERIALS AND METHODS
RSV abates oxidative stress by alleviating the proliferation, mitigating the ROS activity, increasing the SOD enzyme activity and ameliorating the GSH concentration (RSV IC50 in hDPSCs is 67.65 ± 9.86). The antioxidative stress and osteogenic capabilities of RSV were confirmed by the up-regulated gene expression of SOD1, xCT, RUNX2 and OCN, as well as Sirt1/Nrf2. The collagen, bone matrix formation and Sirt1 expression, are significantly increased after RSV treatment in mice.
RESULTS
For elderly or patients with oxidative stress physiological states such as hypertension, heart disease, diabetes, etc., RSV may potentially improve bone augmentation surgery in regenerative medicine.
DISCUSSION AND CONCLUSIONS
[ "Age Factors", "Animals", "Animals, Outbred Strains", "Cell Proliferation", "Cells, Cultured", "Dental Pulp", "Female", "Humans", "Mice", "NF-E2-Related Factor 2", "Osteogenesis", "Oxidative Stress", "Reactive Oxygen Species", "Resveratrol", "Sirtuin 1", "Stromal Cells", "Superoxide Dismutase" ]
8865099
Introduction
Cell therapy has gained significant attention as a novel therapeutic approach to restore/repair tissue/organ functionality after injury (Marvasti et al. 2019). Cellular component represents the key factor in cell-based therapy, particularly in using mesenchymal stromal cells (MSCs), which is considered the gold standard for clinical research (Berebichez-Fridman and Montero-Olvera 2018). Although MSCs can hypothetically be obtained from different and accessible adult tissues, there are practical limitations concerning the invasive procedure, low procurement yield, donor site morbidity, extensive in vitro expansion and various donor characteristics (Berebichez-Fridman and Montero-Olvera 2018). A number of studies showed that the human dental pulp stromal cells (hDPSCs) are easily accessible via discarded medical waste (Gronthos et al. 2000) and have greater proliferative and osteogenic potential than the MSCs derived from bone marrow, making them favourable as an alternative MSC source for cell-based therapies (El-Gendy et al. 2013; Jensen et al. 2016). Recent evidence indicated that stem cells might undergo progressive senescence or lose their regenerative capacity and experience gradual exhaustion of their characteristic proliferative function. Oxidative stress refers to a functional inability of the reactive oxygen species (ROS) in performing the detoxification of metabolic reactive intermediates of biological systems (Forrester et al. 2018). Three important categories of ROS, hydrogen peroxide (H2O2), hydroxyl radicals (•OH) and superoxide anion (O2−), generated through different signalling pathways are reported to be beneficial for cellular processes such as cellular proliferation and differentiation (Guan et al. 2019; Li et al. 2019). Several studies have demonstrated that persistent intracellular accumulation of H2O2 and exogenous exposure to H2O2 could induce cellular senescence (Song et al. 2014; Zhu et al. 2015; Gao et al. 2017). Therefore, it is necessary to explore the osteogenic potential of hDPSCs in oxidative stress. Resveratrol (RSV; trans-3,5,4′-trihydroxystilbene), a naturally occurring nonflavonoid polyphenolic compound, richly presents in many fruits and vegetables, such as peanuts, mulberries and grapes (Gambini et al. 2013; Rauf et al. 2017). It has been reported that RSV can control the differentiation of lineage-specific neural stem cells and mediate the biological functions of terminally differentiated cells (Hu et al. 2014). Besides, RSV is also known as the Sirt1 activator (Wood et al. 2004) and has attained wide usage in dietary supplementation and traditional medicine (Biswas et al. 2020; Wu et al. 2020). Studies have shown that RSV exerts substantial antioxidant effects through scavenging excessive free radicals and enhancing the biosynthesis of intracellular antioxidant enzymes (Shakibaei et al. 2012; Kulkarni and Canto 2015; Sadi et al. 2018). Besides, RSV may prevent metabolic diseases through the activation of Sirt1, which further deacetylate the mitochondrial co-enzyme PGC-1α and improve mitochondrial functions (Lagouge et al. 2006). The mechanism of RSV regulating osteogenic potential in hDPSCs in oxidative stress needs further exploration. Therefore, we hypothesize that RSV could promote the osteogenesis of hDPSCs in oxidative stress via activating the Sirt1–Nrf2 pathway.
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Results
Sirt1 was decreased in oxidative stress The concentration of H2O2 was optimized to induce oxidative stress, which was confirmed by the accumulation of ROS within the cells and cellular proliferation. After the treatment with H2O2 (0.2 mM), positive staining for ROS was located within the nuclei and cytoplasm of the cells (green). The ROS fluorescence intensity in the H2O2 (0.2 mM) group was stronger than the other groups (Figure 1(A,D)). Meanwhile, the fluorescence intensity of Sirt1 decreased in the H2O2 pre-treated group, which was localized within the nuclei and cytoplasm of the cells (Figure 1(A,G)). The effect of H2O2 on cell morphology, ROS production, F-actin and Sirt1 protein in hDPSCs. (A) The morphology of hDPSCs treated with H2O2 detected by immunofluorescence, cell panels: (1) under bright field, (2) ROS, (3) F-actin, (4) Sirt1 (scale bar: 100 μM); (B) cell proliferation of hDPSCs shown on day 1, 2 and 3 of treatment with H2O2; (C) MTT assay showing cell viability at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (D) ROS fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (E) fibre fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (F) fibre length at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (G) Sirt1 fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group; #p < 0.05, ##p < 0.01, ###p < 0.001 vs. H2O2-0.2 mM group). The concentration of H2O2 was optimized to induce oxidative stress, which was confirmed by the accumulation of ROS within the cells and cellular proliferation. After the treatment with H2O2 (0.2 mM), positive staining for ROS was located within the nuclei and cytoplasm of the cells (green). The ROS fluorescence intensity in the H2O2 (0.2 mM) group was stronger than the other groups (Figure 1(A,D)). Meanwhile, the fluorescence intensity of Sirt1 decreased in the H2O2 pre-treated group, which was localized within the nuclei and cytoplasm of the cells (Figure 1(A,G)). The effect of H2O2 on cell morphology, ROS production, F-actin and Sirt1 protein in hDPSCs. (A) The morphology of hDPSCs treated with H2O2 detected by immunofluorescence, cell panels: (1) under bright field, (2) ROS, (3) F-actin, (4) Sirt1 (scale bar: 100 μM); (B) cell proliferation of hDPSCs shown on day 1, 2 and 3 of treatment with H2O2; (C) MTT assay showing cell viability at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (D) ROS fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (E) fibre fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (F) fibre length at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (G) Sirt1 fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group; #p < 0.05, ##p < 0.01, ###p < 0.001 vs. H2O2-0.2 mM group). RSV decreased oxidative stress of hDPSCs To investigate the effect of RSV against oxidative stress, the concentration of RSV was optimized by cell viability assay. The cell viability increased significantly in the RSV10 group than NC and H-RSV 10 than H2O2 group and the IC50 of RSV in hDPSCs is 67.65 ± 9.86. There were significant differences between the H2O2 group and H-RSV 10 group, and RSV (10 μM) was determined for the following experiments (Figure 2(A)). The ROS activity was declined (Figure 2(B)), the SOD enzyme activities were increased (Figure 2(C)) and the GSH concentration displayed enhancement (Figure 2(D)) in the H-RSV group compared with the H2O2 group. Similarly, further data showed that SOD1 and xCT mRNA expression increased significantly in the H-RSV group compared with the H2O2 group (Figure 2(E,F)). RSV promoted the proliferation and reduced the oxidative stress of hDPSCs pre-treated with H2O2. (A) Cell proliferation of hDPSCs pre-treated with/without H2O2 and different concentrations of RSV. (B) The ROS activity of hDPSCs pre-treated with/without H2O2 and RSV. (C) The SOD enzyme activity of hDPSCs pre-treated with/without H2O2 and RSV. (D) The GSH concentration of hDPSCs pre-treated with/without H2O2 and RSV. (E) The fold expression of SOD1 mRNA in hDPSCs. (F) The fold expression of xCT mRNA in hDPSCs. Group: NC (untreated cells), RSV (hDPSCs cultured with 10 μM RSV for 24 hours), H2O2 (hDPSCs treated by 0.2 mM H2O2 for 24 hours) and H-RSV (hDPSCs treated by 0.2 mM H2O2 cultured for 24 hours and then 10 μM RSV cultured for 24 hours) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group). To investigate the effect of RSV against oxidative stress, the concentration of RSV was optimized by cell viability assay. The cell viability increased significantly in the RSV10 group than NC and H-RSV 10 than H2O2 group and the IC50 of RSV in hDPSCs is 67.65 ± 9.86. There were significant differences between the H2O2 group and H-RSV 10 group, and RSV (10 μM) was determined for the following experiments (Figure 2(A)). The ROS activity was declined (Figure 2(B)), the SOD enzyme activities were increased (Figure 2(C)) and the GSH concentration displayed enhancement (Figure 2(D)) in the H-RSV group compared with the H2O2 group. Similarly, further data showed that SOD1 and xCT mRNA expression increased significantly in the H-RSV group compared with the H2O2 group (Figure 2(E,F)). RSV promoted the proliferation and reduced the oxidative stress of hDPSCs pre-treated with H2O2. (A) Cell proliferation of hDPSCs pre-treated with/without H2O2 and different concentrations of RSV. (B) The ROS activity of hDPSCs pre-treated with/without H2O2 and RSV. (C) The SOD enzyme activity of hDPSCs pre-treated with/without H2O2 and RSV. (D) The GSH concentration of hDPSCs pre-treated with/without H2O2 and RSV. (E) The fold expression of SOD1 mRNA in hDPSCs. (F) The fold expression of xCT mRNA in hDPSCs. Group: NC (untreated cells), RSV (hDPSCs cultured with 10 μM RSV for 24 hours), H2O2 (hDPSCs treated by 0.2 mM H2O2 for 24 hours) and H-RSV (hDPSCs treated by 0.2 mM H2O2 cultured for 24 hours and then 10 μM RSV cultured for 24 hours) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group). RSV promotes the expression of osteogenic genes The mRNA expression of Runx2, OCN, Sirt1 and Nrf2 increased significantly in the H-RSV group compared with the H2O2 group (Figures 3(A,B) and 4(A,B)). Moreover, The ALP staining was significantly stronger by RSV with/without pre-treated with H2O2 (Figure 3(C)). Immunofluorescent staining and ICW showed that Sirt1 fluorescence intensity increased significantly by RSV compared with/without pre-treated with H2O2 (p < 0.05) (Figure 4(C–E)). RSV promoted the osteogenic differentiation of hDPSCs after the treatment of H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) The ALP staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group). RSV increased the Sirt1 and Nrf2 mRNA expression in hDPSCs by pre-treated with H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) Fluorescence intensity of In-Cell Western assay (ZEISS microscope AX-10). (D) The sirt1 fluorescence of hDPSCs pre-treated with/without H2O2 and RSV by In-cell western. (E) Sirt1 immunofluorescence staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group). The mRNA expression of Runx2, OCN, Sirt1 and Nrf2 increased significantly in the H-RSV group compared with the H2O2 group (Figures 3(A,B) and 4(A,B)). Moreover, The ALP staining was significantly stronger by RSV with/without pre-treated with H2O2 (Figure 3(C)). Immunofluorescent staining and ICW showed that Sirt1 fluorescence intensity increased significantly by RSV compared with/without pre-treated with H2O2 (p < 0.05) (Figure 4(C–E)). RSV promoted the osteogenic differentiation of hDPSCs after the treatment of H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) The ALP staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group). RSV increased the Sirt1 and Nrf2 mRNA expression in hDPSCs by pre-treated with H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) Fluorescence intensity of In-Cell Western assay (ZEISS microscope AX-10). (D) The sirt1 fluorescence of hDPSCs pre-treated with/without H2O2 and RSV by In-cell western. (E) Sirt1 immunofluorescence staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group). RSV promotes bone mass in mice The area of the bone defect is significantly reduced in the 1-month-old + RSV group than the 1-month-old group, similarly in the 12-month-old + RSV group than the 12-month-old group. The intensity of collagen (green fluorescence) was stronger in the 12-month-old + RSV group than the 12-month-old group and stronger in the 1-month-old + RSV group than the 1-month-old group. The expression of Sirt1 was higher in the 12-month-old + RSV than the 12-month-old group (Figure 5). RSV promotes bone repair and increases bone mass. (A) Representative micro-CT images of bone repair and bone mass in calvarial defects. (B) Representative nonlinear optical microscope images of collagen in calvarial defects. (C) Immunohistochemical staining with sirt1 in hDPSCs pre-treated with/without H2O2 and RSV. The area of the bone defect is significantly reduced in the 1-month-old + RSV group than the 1-month-old group, similarly in the 12-month-old + RSV group than the 12-month-old group. The intensity of collagen (green fluorescence) was stronger in the 12-month-old + RSV group than the 12-month-old group and stronger in the 1-month-old + RSV group than the 1-month-old group. The expression of Sirt1 was higher in the 12-month-old + RSV than the 12-month-old group (Figure 5). RSV promotes bone repair and increases bone mass. (A) Representative micro-CT images of bone repair and bone mass in calvarial defects. (B) Representative nonlinear optical microscope images of collagen in calvarial defects. (C) Immunohistochemical staining with sirt1 in hDPSCs pre-treated with/without H2O2 and RSV.
Conclusions
These findings shed light on the potential applications of RSV in stem cells-based therapy, with a higher proliferation rate and greater osteogenic potential of hDPSCs in regenerative medicine. Moreover, RSV might have the effect of promoting bone formation for the elderly or patients with oxidative stress physiological states such as hypertension, heart disease, diabetes, etc., as a potential agent.
[ "Cell culture", "Oxidative stress cell model and regents", "Intracellular ROS fluorescent staining", "Cell proliferation assay", "ROS activity", "SOD enzyme activity", "Glutathione (GSH) concentration assay", "Quantitative real-time PCR (qRT-PCR)", "ALP staining", "In-Cell Western analysis", "Immunofluorescence labelling of Sirt1", "Animals and tissue sections", "Micro-computed tomography", "Nonlinear optical microscope observation", "Immunohistochemistry", "Statistical analysis", "Sirt1 was decreased in oxidative stress", "RSV decreased oxidative stress of hDPSCs", "RSV promotes the expression of osteogenic genes", "RSV promotes bone mass in mice" ]
[ "A total of eight teeth from different donors obtained with patients’ informed consent according to the current study, which had approval from the Research Ethics Committee (YS2020147) were collected separately, and the hDPSCs were extracted according to the method as described in our previous article (Zhang et al. 2019). The hDPSCs were cultured with growth medium (α-modified minimum essential medium (α-MEM) supplemented with 10% fetal bovine serum (FBS), 1% penicillin/streptomycin and 2 mM l-glutamine). All reagents were obtained from Gibco (Carlsbad, CA), and the cells were cultured in an incubator at 37 °C with 5% CO2 (Binder, Tuttlingen, Germany). The medium was changed every three days, and the cells were treated with trypsin when they reached 80% confluence. The hDPSCs of passages 3–5 were used for the following experiments.", "The oxidative stress model was optimized by different concentrations of H2O2 (0.1, 0.2 and 0.3 mM) treated for 24 h. All H2O2 solutions were prepared freshly. The RSV (Sigma-Aldrich, Shanghai, China) was dissolved in dimethyl sulfoxide (10 µL) (DMSO, Sigma-Aldrich, Shanghai, China) and diluted to 10 μM final concentration in a growth medium. The hDPSCs (n = 8) were divided into four groups. Normal control (NC) group refers to the hDPSCs which were cultured with growth medium, RSV group refers to the hDPSCs which were treated with RSV, H2O2 group were the hDPSCs which were cultured with H2O2 (0.2 mM), and H-RSV refers to the hDPSCs which were cultured with 0.2 mM H2O2 and 10 μM RSV.", "The cells at 2.5 × 104 cells/cm2 (n = 6) were seeded and attached to eight-chamber glass coverslips (Corning, Falcon culture slides, Corning, NY). Peroxide-sensitive dye 2′,7′-dichlorodihydrofluorescein diacetate (H2DCF-DA) (50 μg) (Invitrogen™, Carlsbad, CA) was dissolved in DMSO (10 μL) and were diluted with the serum-free medium at a final concentration of 17.4 μM. The cells were incubated at 37 °C in darkness for 30 min and washed with 1 × PBS three times. The images were acquired by inverted fluorescence microscopy (ZEISS, AX-10, Oberkochen, Germany).", "Cell proliferation assay was determined by MTT Cell Proliferation and Cytotoxicity Assay Kit (Solarbio, Beijing, China). Briefly, the cells were seeded in 96-well plates at 2.5 × 104 cells/cm2 (n = 6) and cultured in a growth medium for 24 h. MTT reagent (10 μL) and serum-free basal media (90 μL) were added to each well and incubated for 4 h. The supernatant was aspirated; formazan solutions (110 μL) were added to each well to dissolve the MTT formazan. Absorbance was measured at 490 nm using the Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA).", "The intracellular ROS activity was examined by the Reactive Oxygen Species Assay Kit (Beyotime Biotechnology, Shanghai, China). Briefly, the cells were seeded at the density of 2.5 × 104 cells/cm2 in 96-well plates and cultured for 24 h (n = 3). DCFH-DA was diluted 1:1000 in serum-free medium to 10 μmol/L concentration and added to each well. The cells were incubated at 37 °C for 20 min and washed three times with a serum-free medium. The ROS activity was measured at 488 nm by Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA).", "A total superoxide dismutase (SOD) assay kit with water-soluble tetrazolium salt, WST-1 (Beyotime Biotechnology, Shanghai, China), was used to analyse the SOD enzyme activity following the manufacturer's instructions. Briefly, the cells were seeded at a density of 2.5 × 104 cells/cm2 in 96-well plates (n = 3) and treated as described previously. The cells were harvested, lysed in 1 × PBS by ultrasonic pyrolysis, and centrifuged at 2200 rpm for 5 min at 4 °C. The supernatant (100 μL) was mixed with SOD working solution (160 μL) at 4 °C. The reaction mixture was centrifuged and transferred to 96-well plates, and the absorbance values were measured at 450 nm using a Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA).", "A total glutathione assay kit (Nanjing Jiancheng Bioengineering Institute, Nanjing, China) with enzyme labelling was used to analyse GSH following the manufacturer's instructions. Briefly, the cells were seeded at 2.5 × 104 cells/cm2 in 24-well plates (n = 3) and treated as described previously. The cells were harvested, lysed in 1 × PBS by ultrasonic pyrolysis. The supernatant (100 μL) was mixed with precipitant agents (100 μL) and centrifuged at 3500 rpm for 10 min at 25 °C. Following this, the reaction mixture was kept at room temperature for 5 min, and the absorbance values were measured at 405 nm using a Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA).", "The total RNA was extracted from the cells using RNAiso Plus reagent (TaKaRa, Kusatsu, Japan). RNAiso Plus (1 mL) was added to each culture dish (6 cm diameter) (n = 4) to lyse the cells. Total RNA (1 µg) was reverse transcribed using a PrimeScript TM RT reagent Kit with gDNA Eraser Kit (TaKaRa, Kusatsu, Japan). To quantify the mRNA expression, an amount of cDNA equivalent to the total RNA reacting system (20 µL) was amplified using SYBR Premix Ex Taq TM (TliRNase H Plus, TaKaRa, Kusatsu, Japan) following the manufacturer's protocol. The transcript levels of genes were evaluated with β-actin serving as the housekeeping internal control. The primer sequences are listed in Table 1. Relative transcript levels were calculated as 2–ΔΔCt, in which ΔΔCt = ΔE – ΔC, ΔE=Ctexp – Ctβ-actin and ΔC=Ctct1 – Ctβ-actin.\nPrimer of targeting genes.", "Following treatment, the cells were cultured in the osteogenic medium for 14 days and fixed with 4% formaldehyde at room temperature for 30 min and washed with 1 × PBS three times. The cells were stained with alkaline phosphatase (ALP, Beyotime Institute of Biotechnology, Shanghai, China) solution for 30 min at room temperature following the manufacturer's instructions. The photos were taken by an optical microscope (Olympus IX71, Tokyo, Japan).", "Immediately after treatment, cells were washed in 1 × PBS and fixed in 10% neutral buffered formalin (NBF, Cellpath, Newtown, UK) in 1 × PBS for 20 min before being stained with the CellTag 700 staining ICW Kit I (Li-Cor Biosciences, Lincoln, NE). The samples were then incubated with the mouse anti-human Sirt1 antibody (1:600, Thermo Fisher, Waltham, MA) at 4 °C overnight with gentle shaking, followed by extensive washing in 1 × PBS containing 0.1% Tween 20 (Sigma-Aldrich, Shanghai, China) five times for 5 min per wash. The IRDye 800 CW goat anti-mouse secondary antibody (1:800) with the CellTag™ 700 stains (1:500) were added for 1 h at room temperature with gentle shaking followed by washing in 1 × PBS containing 0.1% Tween 20 for 5 min per wash. The plate was scanned on the Odyssey SA Imaging System (Li-Cor Biosciences, Lincoln, NE) using both 700 and 800 nm detection channels. Image Studio version 5 (Li-Cor Biosciences, Lincoln, NE) was used for performing the quantitative In-Cell Western (ICW) analysis.", "Cells (2.5 × 104 cells/cm2) were seeded in eight-well multi-chambers (Falcon™ Culture Slides, Corning, Corning, NY) (n = 3) and cultured for 24 h. After treatment, the cells were fixed by 4% paraformaldehyde for 10 min at room temperature. The cells were washed three times with 1 × PBS and permeabilized by 0.2% Triton X-100 for 1 min. The cells were blocked with 10% goat serum (100 µL) (diluted in 1% BSA in 1 × PBS) (Dako, Nowy Sącz, Poland) for 30 min and washed five times with 1 × PBS before incubation in primary antibody (200 µL) (mouse anti-human Sirt1, 1:200 in 1% BSA) (Sigma-Aldrich, Shanghai, China) overnight at 4 °C. After rinsing with 1 × PBS, cells were incubated with Alexa-blue conjugated Goat Anti-Mouse secondary antibody (200 µL) (Alexa Fluor® 488, Invitrogen, Carlsbad, CA, 1:50 in 1% BSA-PBS) for 1 h at room temperature in darkness. The slides were examined with an inverted fluorescent microscope (ZEISS, AX-10, Oberkochen, Germany).", "All animal studies were conducted following international standards on animal welfare and approved by the Animal Research Committee of Guangdong Medical University (Zhanjiang, China). The study was approved by the suggestion of animal research ethics (GDY20023l0) at Guangdong Medical University. Forty female Kunming mice (1-month-old and 12-months-old) were arranged and randomly assigned to four groups: Old (12-months-old), Old-RSV (12-months-old + RSV), Young (1-month-old) and Young-RSV (1-month-old + RSV). Cranium defects (1.0 mm) were created in the parietal bones of mice (n = 5 per group). Mice in the Old-RSV and Young-RSV groups were injected intraperitoneally with 0.2 mL RSV of 20 mg/kg/d for seven days, while the mice in the Old and Young groups were intraperitoneally injected with normal saline 0.2 mL. The mice were euthanized at 4 weeks after the surgery. The parietal bones were harvested and fixed for 24 h in 4% paraformaldehyde for further study.", "Micro-computed tomography (micro-CT) analysis was performed as described previously (Zhang et al. 2019). Briefly, the images were obtained via ex vivo micro-CT systems (Skyscanner 1174; Skyscan, Aartselaar, Belgium). Each sample was placed in a sample holder with the sagittal suture oriented parallel to the image plane and scanned in the air using the aluminium filer (0.25 mm), isotropic voxels (13 μm), 1000 ms integration time and one frame average. The scanner was equipped with an 80 kV, 500 μA X-ray tube, and a-36.9 megapixel Calibrate Centre offset coupled to a scintillator. For three-dimensional reconstruction (NRecon software, Skyscanner, Edinburgh, UK), the greyscale was set from 50 to 140. Standard three-dimensional morphometric parameters were determined in the ROI (100 cuts; 2.5 mm circle). Representative three-dimensional images were created using CT vox software (Skyscan, Edinburgh, UK).", "The excitation source of the SHG microscope was used to be pumped by a mode-locked Ti:sapphire laser oscillator (Spectra-Physics, 80 fs, 80 MHz and average powers up to 2.9 W). The laser beam was coupled into a multiphoton fluorescence scanning microscope (BX61 + FV1200, Olympus, Tokyo, Japan). The femtoseconds laser beam was focussed onto the sample by the objective lens (10× U PlanSApo, 0.40 N.A.; Olympus, Tokyo, Japan) with 10 mW. The SHG signal was isolated from the fundamental and any fluorescence by a band-pass filter (400/10 nm) and detected using a photomultiplier tube in the backscattered light path. Images were 800 × 800 pixels with 2 μs/pixel dwell time.", "The samples were dehydrated through a graded series of ethanol solutions before they were embedded in paraffin, which was cut parallel to the cross into five sections for Sirt1 immunohistochemistry. The slides were incubated with primary antibodies anti-Sirt1 (Abcam, Waltham, MA; 1:150). The two-step plus Poly-HRP Anti Rabbit/Mouse IgG Detection System (Elabscience, Houston, TX) was used to detect immunoreactivity. The slides were counterstained with Mayer's haematoxylin (Hongqiaolexiang Inc., Shanghai, China) and cover-slipped using a permanent mounting medium.", "The statistical analysis was carried out by a two-tailed pair Student's t-test using GraphPad Prism 8.0 (GraphPad Software, La Jolla, CA). p Value <0.05 was considered statistically significant.", "The concentration of H2O2 was optimized to induce oxidative stress, which was confirmed by the accumulation of ROS within the cells and cellular proliferation. After the treatment with H2O2 (0.2 mM), positive staining for ROS was located within the nuclei and cytoplasm of the cells (green). The ROS fluorescence intensity in the H2O2 (0.2 mM) group was stronger than the other groups (Figure 1(A,D)). Meanwhile, the fluorescence intensity of Sirt1 decreased in the H2O2 pre-treated group, which was localized within the nuclei and cytoplasm of the cells (Figure 1(A,G)).\nThe effect of H2O2 on cell morphology, ROS production, F-actin and Sirt1 protein in hDPSCs. (A) The morphology of hDPSCs treated with H2O2 detected by immunofluorescence, cell panels: (1) under bright field, (2) ROS, (3) F-actin, (4) Sirt1 (scale bar: 100 μM); (B) cell proliferation of hDPSCs shown on day 1, 2 and 3 of treatment with H2O2; (C) MTT assay showing cell viability at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (D) ROS fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (E) fibre fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (F) fibre length at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (G) Sirt1 fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group; #p < 0.05, ##p < 0.01, ###p < 0.001 vs. H2O2-0.2 mM group).", "To investigate the effect of RSV against oxidative stress, the concentration of RSV was optimized by cell viability assay. The cell viability increased significantly in the RSV10 group than NC and H-RSV 10 than H2O2 group and the IC50 of RSV in hDPSCs is 67.65 ± 9.86. There were significant differences between the H2O2 group and H-RSV 10 group, and RSV (10 μM) was determined for the following experiments (Figure 2(A)). The ROS activity was declined (Figure 2(B)), the SOD enzyme activities were increased (Figure 2(C)) and the GSH concentration displayed enhancement (Figure 2(D)) in the H-RSV group compared with the H2O2 group. Similarly, further data showed that SOD1 and xCT mRNA expression increased significantly in the H-RSV group compared with the H2O2 group (Figure 2(E,F)).\nRSV promoted the proliferation and reduced the oxidative stress of hDPSCs pre-treated with H2O2. (A) Cell proliferation of hDPSCs pre-treated with/without H2O2 and different concentrations of RSV. (B) The ROS activity of hDPSCs pre-treated with/without H2O2 and RSV. (C) The SOD enzyme activity of hDPSCs pre-treated with/without H2O2 and RSV. (D) The GSH concentration of hDPSCs pre-treated with/without H2O2 and RSV. (E) The fold expression of SOD1 mRNA in hDPSCs. (F) The fold expression of xCT mRNA in hDPSCs. Group: NC (untreated cells), RSV (hDPSCs cultured with 10 μM RSV for 24 hours), H2O2 (hDPSCs treated by 0.2 mM H2O2 for 24 hours) and H-RSV (hDPSCs treated by 0.2 mM H2O2 cultured for 24 hours and then 10 μM RSV cultured for 24 hours) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group).", "The mRNA expression of Runx2, OCN, Sirt1 and Nrf2 increased significantly in the H-RSV group compared with the H2O2 group (Figures 3(A,B) and 4(A,B)). Moreover, The ALP staining was significantly stronger by RSV with/without pre-treated with H2O2 (Figure 3(C)). Immunofluorescent staining and ICW showed that Sirt1 fluorescence intensity increased significantly by RSV compared with/without pre-treated with H2O2 (p < 0.05) (Figure 4(C–E)).\nRSV promoted the osteogenic differentiation of hDPSCs after the treatment of H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) The ALP staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group).\nRSV increased the Sirt1 and Nrf2 mRNA expression in hDPSCs by pre-treated with H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) Fluorescence intensity of In-Cell Western assay (ZEISS microscope AX-10). (D) The sirt1 fluorescence of hDPSCs pre-treated with/without H2O2 and RSV by In-cell western. (E) Sirt1 immunofluorescence staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group).", "The area of the bone defect is significantly reduced in the 1-month-old + RSV group than the 1-month-old group, similarly in the 12-month-old + RSV group than the 12-month-old group. The intensity of collagen (green fluorescence) was stronger in the 12-month-old + RSV group than the 12-month-old group and stronger in the 1-month-old + RSV group than the 1-month-old group. The expression of Sirt1 was higher in the 12-month-old + RSV than the 12-month-old group (Figure 5).\nRSV promotes bone repair and increases bone mass. (A) Representative micro-CT images of bone repair and bone mass in calvarial defects. (B) Representative nonlinear optical microscope images of collagen in calvarial defects. (C) Immunohistochemical staining with sirt1 in hDPSCs pre-treated with/without H2O2 and RSV." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Introduction", "Materials and methods", "Cell culture", "Oxidative stress cell model and regents", "Intracellular ROS fluorescent staining", "Cell proliferation assay", "ROS activity", "SOD enzyme activity", "Glutathione (GSH) concentration assay", "Quantitative real-time PCR (qRT-PCR)", "ALP staining", "In-Cell Western analysis", "Immunofluorescence labelling of Sirt1", "Animals and tissue sections", "Micro-computed tomography", "Nonlinear optical microscope observation", "Immunohistochemistry", "Statistical analysis", "Results", "Sirt1 was decreased in oxidative stress", "RSV decreased oxidative stress of hDPSCs", "RSV promotes the expression of osteogenic genes", "RSV promotes bone mass in mice", "Discussion", "Conclusions" ]
[ "Cell therapy has gained significant attention as a novel therapeutic approach to restore/repair tissue/organ functionality after injury (Marvasti et al. 2019). Cellular component represents the key factor in cell-based therapy, particularly in using mesenchymal stromal cells (MSCs), which is considered the gold standard for clinical research (Berebichez-Fridman and Montero-Olvera 2018). Although MSCs can hypothetically be obtained from different and accessible adult tissues, there are practical limitations concerning the invasive procedure, low procurement yield, donor site morbidity, extensive in vitro expansion and various donor characteristics (Berebichez-Fridman and Montero-Olvera 2018). A number of studies showed that the human dental pulp stromal cells (hDPSCs) are easily accessible via discarded medical waste (Gronthos et al. 2000) and have greater proliferative and osteogenic potential than the MSCs derived from bone marrow, making them favourable as an alternative MSC source for cell-based therapies (El-Gendy et al. 2013; Jensen et al. 2016).\nRecent evidence indicated that stem cells might undergo progressive senescence or lose their regenerative capacity and experience gradual exhaustion of their characteristic proliferative function. Oxidative stress refers to a functional inability of the reactive oxygen species (ROS) in performing the detoxification of metabolic reactive intermediates of biological systems (Forrester et al. 2018). Three important categories of ROS, hydrogen peroxide (H2O2), hydroxyl radicals (•OH) and superoxide anion (O2−), generated through different signalling pathways are reported to be beneficial for cellular processes such as cellular proliferation and differentiation (Guan et al. 2019; Li et al. 2019). Several studies have demonstrated that persistent intracellular accumulation of H2O2 and exogenous exposure to H2O2 could induce cellular senescence (Song et al. 2014; Zhu et al. 2015; Gao et al. 2017). Therefore, it is necessary to explore the osteogenic potential of hDPSCs in oxidative stress.\nResveratrol (RSV; trans-3,5,4′-trihydroxystilbene), a naturally occurring nonflavonoid polyphenolic compound, richly presents in many fruits and vegetables, such as peanuts, mulberries and grapes (Gambini et al. 2013; Rauf et al. 2017). It has been reported that RSV can control the differentiation of lineage-specific neural stem cells and mediate the biological functions of terminally differentiated cells (Hu et al. 2014). Besides, RSV is also known as the Sirt1 activator (Wood et al. 2004) and has attained wide usage in dietary supplementation and traditional medicine (Biswas et al. 2020; Wu et al. 2020). Studies have shown that RSV exerts substantial antioxidant effects through scavenging excessive free radicals and enhancing the biosynthesis of intracellular antioxidant enzymes (Shakibaei et al. 2012; Kulkarni and Canto 2015; Sadi et al. 2018). Besides, RSV may prevent metabolic diseases through the activation of Sirt1, which further deacetylate the mitochondrial co-enzyme PGC-1α and improve mitochondrial functions (Lagouge et al. 2006). The mechanism of RSV regulating osteogenic potential in hDPSCs in oxidative stress needs further exploration. Therefore, we hypothesize that RSV could promote the osteogenesis of hDPSCs in oxidative stress via activating the Sirt1–Nrf2 pathway.", "Cell culture A total of eight teeth from different donors obtained with patients’ informed consent according to the current study, which had approval from the Research Ethics Committee (YS2020147) were collected separately, and the hDPSCs were extracted according to the method as described in our previous article (Zhang et al. 2019). The hDPSCs were cultured with growth medium (α-modified minimum essential medium (α-MEM) supplemented with 10% fetal bovine serum (FBS), 1% penicillin/streptomycin and 2 mM l-glutamine). All reagents were obtained from Gibco (Carlsbad, CA), and the cells were cultured in an incubator at 37 °C with 5% CO2 (Binder, Tuttlingen, Germany). The medium was changed every three days, and the cells were treated with trypsin when they reached 80% confluence. The hDPSCs of passages 3–5 were used for the following experiments.\nA total of eight teeth from different donors obtained with patients’ informed consent according to the current study, which had approval from the Research Ethics Committee (YS2020147) were collected separately, and the hDPSCs were extracted according to the method as described in our previous article (Zhang et al. 2019). The hDPSCs were cultured with growth medium (α-modified minimum essential medium (α-MEM) supplemented with 10% fetal bovine serum (FBS), 1% penicillin/streptomycin and 2 mM l-glutamine). All reagents were obtained from Gibco (Carlsbad, CA), and the cells were cultured in an incubator at 37 °C with 5% CO2 (Binder, Tuttlingen, Germany). The medium was changed every three days, and the cells were treated with trypsin when they reached 80% confluence. The hDPSCs of passages 3–5 were used for the following experiments.\nOxidative stress cell model and regents The oxidative stress model was optimized by different concentrations of H2O2 (0.1, 0.2 and 0.3 mM) treated for 24 h. All H2O2 solutions were prepared freshly. The RSV (Sigma-Aldrich, Shanghai, China) was dissolved in dimethyl sulfoxide (10 µL) (DMSO, Sigma-Aldrich, Shanghai, China) and diluted to 10 μM final concentration in a growth medium. The hDPSCs (n = 8) were divided into four groups. Normal control (NC) group refers to the hDPSCs which were cultured with growth medium, RSV group refers to the hDPSCs which were treated with RSV, H2O2 group were the hDPSCs which were cultured with H2O2 (0.2 mM), and H-RSV refers to the hDPSCs which were cultured with 0.2 mM H2O2 and 10 μM RSV.\nThe oxidative stress model was optimized by different concentrations of H2O2 (0.1, 0.2 and 0.3 mM) treated for 24 h. All H2O2 solutions were prepared freshly. The RSV (Sigma-Aldrich, Shanghai, China) was dissolved in dimethyl sulfoxide (10 µL) (DMSO, Sigma-Aldrich, Shanghai, China) and diluted to 10 μM final concentration in a growth medium. The hDPSCs (n = 8) were divided into four groups. Normal control (NC) group refers to the hDPSCs which were cultured with growth medium, RSV group refers to the hDPSCs which were treated with RSV, H2O2 group were the hDPSCs which were cultured with H2O2 (0.2 mM), and H-RSV refers to the hDPSCs which were cultured with 0.2 mM H2O2 and 10 μM RSV.\nIntracellular ROS fluorescent staining The cells at 2.5 × 104 cells/cm2 (n = 6) were seeded and attached to eight-chamber glass coverslips (Corning, Falcon culture slides, Corning, NY). Peroxide-sensitive dye 2′,7′-dichlorodihydrofluorescein diacetate (H2DCF-DA) (50 μg) (Invitrogen™, Carlsbad, CA) was dissolved in DMSO (10 μL) and were diluted with the serum-free medium at a final concentration of 17.4 μM. The cells were incubated at 37 °C in darkness for 30 min and washed with 1 × PBS three times. The images were acquired by inverted fluorescence microscopy (ZEISS, AX-10, Oberkochen, Germany).\nThe cells at 2.5 × 104 cells/cm2 (n = 6) were seeded and attached to eight-chamber glass coverslips (Corning, Falcon culture slides, Corning, NY). Peroxide-sensitive dye 2′,7′-dichlorodihydrofluorescein diacetate (H2DCF-DA) (50 μg) (Invitrogen™, Carlsbad, CA) was dissolved in DMSO (10 μL) and were diluted with the serum-free medium at a final concentration of 17.4 μM. The cells were incubated at 37 °C in darkness for 30 min and washed with 1 × PBS three times. The images were acquired by inverted fluorescence microscopy (ZEISS, AX-10, Oberkochen, Germany).\nCell proliferation assay Cell proliferation assay was determined by MTT Cell Proliferation and Cytotoxicity Assay Kit (Solarbio, Beijing, China). Briefly, the cells were seeded in 96-well plates at 2.5 × 104 cells/cm2 (n = 6) and cultured in a growth medium for 24 h. MTT reagent (10 μL) and serum-free basal media (90 μL) were added to each well and incubated for 4 h. The supernatant was aspirated; formazan solutions (110 μL) were added to each well to dissolve the MTT formazan. Absorbance was measured at 490 nm using the Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA).\nCell proliferation assay was determined by MTT Cell Proliferation and Cytotoxicity Assay Kit (Solarbio, Beijing, China). Briefly, the cells were seeded in 96-well plates at 2.5 × 104 cells/cm2 (n = 6) and cultured in a growth medium for 24 h. MTT reagent (10 μL) and serum-free basal media (90 μL) were added to each well and incubated for 4 h. The supernatant was aspirated; formazan solutions (110 μL) were added to each well to dissolve the MTT formazan. Absorbance was measured at 490 nm using the Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA).\nROS activity The intracellular ROS activity was examined by the Reactive Oxygen Species Assay Kit (Beyotime Biotechnology, Shanghai, China). Briefly, the cells were seeded at the density of 2.5 × 104 cells/cm2 in 96-well plates and cultured for 24 h (n = 3). DCFH-DA was diluted 1:1000 in serum-free medium to 10 μmol/L concentration and added to each well. The cells were incubated at 37 °C for 20 min and washed three times with a serum-free medium. The ROS activity was measured at 488 nm by Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA).\nThe intracellular ROS activity was examined by the Reactive Oxygen Species Assay Kit (Beyotime Biotechnology, Shanghai, China). Briefly, the cells were seeded at the density of 2.5 × 104 cells/cm2 in 96-well plates and cultured for 24 h (n = 3). DCFH-DA was diluted 1:1000 in serum-free medium to 10 μmol/L concentration and added to each well. The cells were incubated at 37 °C for 20 min and washed three times with a serum-free medium. The ROS activity was measured at 488 nm by Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA).\nSOD enzyme activity A total superoxide dismutase (SOD) assay kit with water-soluble tetrazolium salt, WST-1 (Beyotime Biotechnology, Shanghai, China), was used to analyse the SOD enzyme activity following the manufacturer's instructions. Briefly, the cells were seeded at a density of 2.5 × 104 cells/cm2 in 96-well plates (n = 3) and treated as described previously. The cells were harvested, lysed in 1 × PBS by ultrasonic pyrolysis, and centrifuged at 2200 rpm for 5 min at 4 °C. The supernatant (100 μL) was mixed with SOD working solution (160 μL) at 4 °C. The reaction mixture was centrifuged and transferred to 96-well plates, and the absorbance values were measured at 450 nm using a Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA).\nA total superoxide dismutase (SOD) assay kit with water-soluble tetrazolium salt, WST-1 (Beyotime Biotechnology, Shanghai, China), was used to analyse the SOD enzyme activity following the manufacturer's instructions. Briefly, the cells were seeded at a density of 2.5 × 104 cells/cm2 in 96-well plates (n = 3) and treated as described previously. The cells were harvested, lysed in 1 × PBS by ultrasonic pyrolysis, and centrifuged at 2200 rpm for 5 min at 4 °C. The supernatant (100 μL) was mixed with SOD working solution (160 μL) at 4 °C. The reaction mixture was centrifuged and transferred to 96-well plates, and the absorbance values were measured at 450 nm using a Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA).\nGlutathione (GSH) concentration assay A total glutathione assay kit (Nanjing Jiancheng Bioengineering Institute, Nanjing, China) with enzyme labelling was used to analyse GSH following the manufacturer's instructions. Briefly, the cells were seeded at 2.5 × 104 cells/cm2 in 24-well plates (n = 3) and treated as described previously. The cells were harvested, lysed in 1 × PBS by ultrasonic pyrolysis. The supernatant (100 μL) was mixed with precipitant agents (100 μL) and centrifuged at 3500 rpm for 10 min at 25 °C. Following this, the reaction mixture was kept at room temperature for 5 min, and the absorbance values were measured at 405 nm using a Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA).\nA total glutathione assay kit (Nanjing Jiancheng Bioengineering Institute, Nanjing, China) with enzyme labelling was used to analyse GSH following the manufacturer's instructions. Briefly, the cells were seeded at 2.5 × 104 cells/cm2 in 24-well plates (n = 3) and treated as described previously. The cells were harvested, lysed in 1 × PBS by ultrasonic pyrolysis. The supernatant (100 μL) was mixed with precipitant agents (100 μL) and centrifuged at 3500 rpm for 10 min at 25 °C. Following this, the reaction mixture was kept at room temperature for 5 min, and the absorbance values were measured at 405 nm using a Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA).\nQuantitative real-time PCR (qRT-PCR) The total RNA was extracted from the cells using RNAiso Plus reagent (TaKaRa, Kusatsu, Japan). RNAiso Plus (1 mL) was added to each culture dish (6 cm diameter) (n = 4) to lyse the cells. Total RNA (1 µg) was reverse transcribed using a PrimeScript TM RT reagent Kit with gDNA Eraser Kit (TaKaRa, Kusatsu, Japan). To quantify the mRNA expression, an amount of cDNA equivalent to the total RNA reacting system (20 µL) was amplified using SYBR Premix Ex Taq TM (TliRNase H Plus, TaKaRa, Kusatsu, Japan) following the manufacturer's protocol. The transcript levels of genes were evaluated with β-actin serving as the housekeeping internal control. The primer sequences are listed in Table 1. Relative transcript levels were calculated as 2–ΔΔCt, in which ΔΔCt = ΔE – ΔC, ΔE=Ctexp – Ctβ-actin and ΔC=Ctct1 – Ctβ-actin.\nPrimer of targeting genes.\nThe total RNA was extracted from the cells using RNAiso Plus reagent (TaKaRa, Kusatsu, Japan). RNAiso Plus (1 mL) was added to each culture dish (6 cm diameter) (n = 4) to lyse the cells. Total RNA (1 µg) was reverse transcribed using a PrimeScript TM RT reagent Kit with gDNA Eraser Kit (TaKaRa, Kusatsu, Japan). To quantify the mRNA expression, an amount of cDNA equivalent to the total RNA reacting system (20 µL) was amplified using SYBR Premix Ex Taq TM (TliRNase H Plus, TaKaRa, Kusatsu, Japan) following the manufacturer's protocol. The transcript levels of genes were evaluated with β-actin serving as the housekeeping internal control. The primer sequences are listed in Table 1. Relative transcript levels were calculated as 2–ΔΔCt, in which ΔΔCt = ΔE – ΔC, ΔE=Ctexp – Ctβ-actin and ΔC=Ctct1 – Ctβ-actin.\nPrimer of targeting genes.\nALP staining Following treatment, the cells were cultured in the osteogenic medium for 14 days and fixed with 4% formaldehyde at room temperature for 30 min and washed with 1 × PBS three times. The cells were stained with alkaline phosphatase (ALP, Beyotime Institute of Biotechnology, Shanghai, China) solution for 30 min at room temperature following the manufacturer's instructions. The photos were taken by an optical microscope (Olympus IX71, Tokyo, Japan).\nFollowing treatment, the cells were cultured in the osteogenic medium for 14 days and fixed with 4% formaldehyde at room temperature for 30 min and washed with 1 × PBS three times. The cells were stained with alkaline phosphatase (ALP, Beyotime Institute of Biotechnology, Shanghai, China) solution for 30 min at room temperature following the manufacturer's instructions. The photos were taken by an optical microscope (Olympus IX71, Tokyo, Japan).\nIn-Cell Western analysis Immediately after treatment, cells were washed in 1 × PBS and fixed in 10% neutral buffered formalin (NBF, Cellpath, Newtown, UK) in 1 × PBS for 20 min before being stained with the CellTag 700 staining ICW Kit I (Li-Cor Biosciences, Lincoln, NE). The samples were then incubated with the mouse anti-human Sirt1 antibody (1:600, Thermo Fisher, Waltham, MA) at 4 °C overnight with gentle shaking, followed by extensive washing in 1 × PBS containing 0.1% Tween 20 (Sigma-Aldrich, Shanghai, China) five times for 5 min per wash. The IRDye 800 CW goat anti-mouse secondary antibody (1:800) with the CellTag™ 700 stains (1:500) were added for 1 h at room temperature with gentle shaking followed by washing in 1 × PBS containing 0.1% Tween 20 for 5 min per wash. The plate was scanned on the Odyssey SA Imaging System (Li-Cor Biosciences, Lincoln, NE) using both 700 and 800 nm detection channels. Image Studio version 5 (Li-Cor Biosciences, Lincoln, NE) was used for performing the quantitative In-Cell Western (ICW) analysis.\nImmediately after treatment, cells were washed in 1 × PBS and fixed in 10% neutral buffered formalin (NBF, Cellpath, Newtown, UK) in 1 × PBS for 20 min before being stained with the CellTag 700 staining ICW Kit I (Li-Cor Biosciences, Lincoln, NE). The samples were then incubated with the mouse anti-human Sirt1 antibody (1:600, Thermo Fisher, Waltham, MA) at 4 °C overnight with gentle shaking, followed by extensive washing in 1 × PBS containing 0.1% Tween 20 (Sigma-Aldrich, Shanghai, China) five times for 5 min per wash. The IRDye 800 CW goat anti-mouse secondary antibody (1:800) with the CellTag™ 700 stains (1:500) were added for 1 h at room temperature with gentle shaking followed by washing in 1 × PBS containing 0.1% Tween 20 for 5 min per wash. The plate was scanned on the Odyssey SA Imaging System (Li-Cor Biosciences, Lincoln, NE) using both 700 and 800 nm detection channels. Image Studio version 5 (Li-Cor Biosciences, Lincoln, NE) was used for performing the quantitative In-Cell Western (ICW) analysis.\nImmunofluorescence labelling of Sirt1 Cells (2.5 × 104 cells/cm2) were seeded in eight-well multi-chambers (Falcon™ Culture Slides, Corning, Corning, NY) (n = 3) and cultured for 24 h. After treatment, the cells were fixed by 4% paraformaldehyde for 10 min at room temperature. The cells were washed three times with 1 × PBS and permeabilized by 0.2% Triton X-100 for 1 min. The cells were blocked with 10% goat serum (100 µL) (diluted in 1% BSA in 1 × PBS) (Dako, Nowy Sącz, Poland) for 30 min and washed five times with 1 × PBS before incubation in primary antibody (200 µL) (mouse anti-human Sirt1, 1:200 in 1% BSA) (Sigma-Aldrich, Shanghai, China) overnight at 4 °C. After rinsing with 1 × PBS, cells were incubated with Alexa-blue conjugated Goat Anti-Mouse secondary antibody (200 µL) (Alexa Fluor® 488, Invitrogen, Carlsbad, CA, 1:50 in 1% BSA-PBS) for 1 h at room temperature in darkness. The slides were examined with an inverted fluorescent microscope (ZEISS, AX-10, Oberkochen, Germany).\nCells (2.5 × 104 cells/cm2) were seeded in eight-well multi-chambers (Falcon™ Culture Slides, Corning, Corning, NY) (n = 3) and cultured for 24 h. After treatment, the cells were fixed by 4% paraformaldehyde for 10 min at room temperature. The cells were washed three times with 1 × PBS and permeabilized by 0.2% Triton X-100 for 1 min. The cells were blocked with 10% goat serum (100 µL) (diluted in 1% BSA in 1 × PBS) (Dako, Nowy Sącz, Poland) for 30 min and washed five times with 1 × PBS before incubation in primary antibody (200 µL) (mouse anti-human Sirt1, 1:200 in 1% BSA) (Sigma-Aldrich, Shanghai, China) overnight at 4 °C. After rinsing with 1 × PBS, cells were incubated with Alexa-blue conjugated Goat Anti-Mouse secondary antibody (200 µL) (Alexa Fluor® 488, Invitrogen, Carlsbad, CA, 1:50 in 1% BSA-PBS) for 1 h at room temperature in darkness. The slides were examined with an inverted fluorescent microscope (ZEISS, AX-10, Oberkochen, Germany).\nAnimals and tissue sections All animal studies were conducted following international standards on animal welfare and approved by the Animal Research Committee of Guangdong Medical University (Zhanjiang, China). The study was approved by the suggestion of animal research ethics (GDY20023l0) at Guangdong Medical University. Forty female Kunming mice (1-month-old and 12-months-old) were arranged and randomly assigned to four groups: Old (12-months-old), Old-RSV (12-months-old + RSV), Young (1-month-old) and Young-RSV (1-month-old + RSV). Cranium defects (1.0 mm) were created in the parietal bones of mice (n = 5 per group). Mice in the Old-RSV and Young-RSV groups were injected intraperitoneally with 0.2 mL RSV of 20 mg/kg/d for seven days, while the mice in the Old and Young groups were intraperitoneally injected with normal saline 0.2 mL. The mice were euthanized at 4 weeks after the surgery. The parietal bones were harvested and fixed for 24 h in 4% paraformaldehyde for further study.\nAll animal studies were conducted following international standards on animal welfare and approved by the Animal Research Committee of Guangdong Medical University (Zhanjiang, China). The study was approved by the suggestion of animal research ethics (GDY20023l0) at Guangdong Medical University. Forty female Kunming mice (1-month-old and 12-months-old) were arranged and randomly assigned to four groups: Old (12-months-old), Old-RSV (12-months-old + RSV), Young (1-month-old) and Young-RSV (1-month-old + RSV). Cranium defects (1.0 mm) were created in the parietal bones of mice (n = 5 per group). Mice in the Old-RSV and Young-RSV groups were injected intraperitoneally with 0.2 mL RSV of 20 mg/kg/d for seven days, while the mice in the Old and Young groups were intraperitoneally injected with normal saline 0.2 mL. The mice were euthanized at 4 weeks after the surgery. The parietal bones were harvested and fixed for 24 h in 4% paraformaldehyde for further study.\nMicro-computed tomography Micro-computed tomography (micro-CT) analysis was performed as described previously (Zhang et al. 2019). Briefly, the images were obtained via ex vivo micro-CT systems (Skyscanner 1174; Skyscan, Aartselaar, Belgium). Each sample was placed in a sample holder with the sagittal suture oriented parallel to the image plane and scanned in the air using the aluminium filer (0.25 mm), isotropic voxels (13 μm), 1000 ms integration time and one frame average. The scanner was equipped with an 80 kV, 500 μA X-ray tube, and a-36.9 megapixel Calibrate Centre offset coupled to a scintillator. For three-dimensional reconstruction (NRecon software, Skyscanner, Edinburgh, UK), the greyscale was set from 50 to 140. Standard three-dimensional morphometric parameters were determined in the ROI (100 cuts; 2.5 mm circle). Representative three-dimensional images were created using CT vox software (Skyscan, Edinburgh, UK).\nMicro-computed tomography (micro-CT) analysis was performed as described previously (Zhang et al. 2019). Briefly, the images were obtained via ex vivo micro-CT systems (Skyscanner 1174; Skyscan, Aartselaar, Belgium). Each sample was placed in a sample holder with the sagittal suture oriented parallel to the image plane and scanned in the air using the aluminium filer (0.25 mm), isotropic voxels (13 μm), 1000 ms integration time and one frame average. The scanner was equipped with an 80 kV, 500 μA X-ray tube, and a-36.9 megapixel Calibrate Centre offset coupled to a scintillator. For three-dimensional reconstruction (NRecon software, Skyscanner, Edinburgh, UK), the greyscale was set from 50 to 140. Standard three-dimensional morphometric parameters were determined in the ROI (100 cuts; 2.5 mm circle). Representative three-dimensional images were created using CT vox software (Skyscan, Edinburgh, UK).\nNonlinear optical microscope observation The excitation source of the SHG microscope was used to be pumped by a mode-locked Ti:sapphire laser oscillator (Spectra-Physics, 80 fs, 80 MHz and average powers up to 2.9 W). The laser beam was coupled into a multiphoton fluorescence scanning microscope (BX61 + FV1200, Olympus, Tokyo, Japan). The femtoseconds laser beam was focussed onto the sample by the objective lens (10× U PlanSApo, 0.40 N.A.; Olympus, Tokyo, Japan) with 10 mW. The SHG signal was isolated from the fundamental and any fluorescence by a band-pass filter (400/10 nm) and detected using a photomultiplier tube in the backscattered light path. Images were 800 × 800 pixels with 2 μs/pixel dwell time.\nThe excitation source of the SHG microscope was used to be pumped by a mode-locked Ti:sapphire laser oscillator (Spectra-Physics, 80 fs, 80 MHz and average powers up to 2.9 W). The laser beam was coupled into a multiphoton fluorescence scanning microscope (BX61 + FV1200, Olympus, Tokyo, Japan). The femtoseconds laser beam was focussed onto the sample by the objective lens (10× U PlanSApo, 0.40 N.A.; Olympus, Tokyo, Japan) with 10 mW. The SHG signal was isolated from the fundamental and any fluorescence by a band-pass filter (400/10 nm) and detected using a photomultiplier tube in the backscattered light path. Images were 800 × 800 pixels with 2 μs/pixel dwell time.\nImmunohistochemistry The samples were dehydrated through a graded series of ethanol solutions before they were embedded in paraffin, which was cut parallel to the cross into five sections for Sirt1 immunohistochemistry. The slides were incubated with primary antibodies anti-Sirt1 (Abcam, Waltham, MA; 1:150). The two-step plus Poly-HRP Anti Rabbit/Mouse IgG Detection System (Elabscience, Houston, TX) was used to detect immunoreactivity. The slides were counterstained with Mayer's haematoxylin (Hongqiaolexiang Inc., Shanghai, China) and cover-slipped using a permanent mounting medium.\nThe samples were dehydrated through a graded series of ethanol solutions before they were embedded in paraffin, which was cut parallel to the cross into five sections for Sirt1 immunohistochemistry. The slides were incubated with primary antibodies anti-Sirt1 (Abcam, Waltham, MA; 1:150). The two-step plus Poly-HRP Anti Rabbit/Mouse IgG Detection System (Elabscience, Houston, TX) was used to detect immunoreactivity. The slides were counterstained with Mayer's haematoxylin (Hongqiaolexiang Inc., Shanghai, China) and cover-slipped using a permanent mounting medium.\nStatistical analysis The statistical analysis was carried out by a two-tailed pair Student's t-test using GraphPad Prism 8.0 (GraphPad Software, La Jolla, CA). p Value <0.05 was considered statistically significant.\nThe statistical analysis was carried out by a two-tailed pair Student's t-test using GraphPad Prism 8.0 (GraphPad Software, La Jolla, CA). p Value <0.05 was considered statistically significant.", "A total of eight teeth from different donors obtained with patients’ informed consent according to the current study, which had approval from the Research Ethics Committee (YS2020147) were collected separately, and the hDPSCs were extracted according to the method as described in our previous article (Zhang et al. 2019). The hDPSCs were cultured with growth medium (α-modified minimum essential medium (α-MEM) supplemented with 10% fetal bovine serum (FBS), 1% penicillin/streptomycin and 2 mM l-glutamine). All reagents were obtained from Gibco (Carlsbad, CA), and the cells were cultured in an incubator at 37 °C with 5% CO2 (Binder, Tuttlingen, Germany). The medium was changed every three days, and the cells were treated with trypsin when they reached 80% confluence. The hDPSCs of passages 3–5 were used for the following experiments.", "The oxidative stress model was optimized by different concentrations of H2O2 (0.1, 0.2 and 0.3 mM) treated for 24 h. All H2O2 solutions were prepared freshly. The RSV (Sigma-Aldrich, Shanghai, China) was dissolved in dimethyl sulfoxide (10 µL) (DMSO, Sigma-Aldrich, Shanghai, China) and diluted to 10 μM final concentration in a growth medium. The hDPSCs (n = 8) were divided into four groups. Normal control (NC) group refers to the hDPSCs which were cultured with growth medium, RSV group refers to the hDPSCs which were treated with RSV, H2O2 group were the hDPSCs which were cultured with H2O2 (0.2 mM), and H-RSV refers to the hDPSCs which were cultured with 0.2 mM H2O2 and 10 μM RSV.", "The cells at 2.5 × 104 cells/cm2 (n = 6) were seeded and attached to eight-chamber glass coverslips (Corning, Falcon culture slides, Corning, NY). Peroxide-sensitive dye 2′,7′-dichlorodihydrofluorescein diacetate (H2DCF-DA) (50 μg) (Invitrogen™, Carlsbad, CA) was dissolved in DMSO (10 μL) and were diluted with the serum-free medium at a final concentration of 17.4 μM. The cells were incubated at 37 °C in darkness for 30 min and washed with 1 × PBS three times. The images were acquired by inverted fluorescence microscopy (ZEISS, AX-10, Oberkochen, Germany).", "Cell proliferation assay was determined by MTT Cell Proliferation and Cytotoxicity Assay Kit (Solarbio, Beijing, China). Briefly, the cells were seeded in 96-well plates at 2.5 × 104 cells/cm2 (n = 6) and cultured in a growth medium for 24 h. MTT reagent (10 μL) and serum-free basal media (90 μL) were added to each well and incubated for 4 h. The supernatant was aspirated; formazan solutions (110 μL) were added to each well to dissolve the MTT formazan. Absorbance was measured at 490 nm using the Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA).", "The intracellular ROS activity was examined by the Reactive Oxygen Species Assay Kit (Beyotime Biotechnology, Shanghai, China). Briefly, the cells were seeded at the density of 2.5 × 104 cells/cm2 in 96-well plates and cultured for 24 h (n = 3). DCFH-DA was diluted 1:1000 in serum-free medium to 10 μmol/L concentration and added to each well. The cells were incubated at 37 °C for 20 min and washed three times with a serum-free medium. The ROS activity was measured at 488 nm by Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA).", "A total superoxide dismutase (SOD) assay kit with water-soluble tetrazolium salt, WST-1 (Beyotime Biotechnology, Shanghai, China), was used to analyse the SOD enzyme activity following the manufacturer's instructions. Briefly, the cells were seeded at a density of 2.5 × 104 cells/cm2 in 96-well plates (n = 3) and treated as described previously. The cells were harvested, lysed in 1 × PBS by ultrasonic pyrolysis, and centrifuged at 2200 rpm for 5 min at 4 °C. The supernatant (100 μL) was mixed with SOD working solution (160 μL) at 4 °C. The reaction mixture was centrifuged and transferred to 96-well plates, and the absorbance values were measured at 450 nm using a Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA).", "A total glutathione assay kit (Nanjing Jiancheng Bioengineering Institute, Nanjing, China) with enzyme labelling was used to analyse GSH following the manufacturer's instructions. Briefly, the cells were seeded at 2.5 × 104 cells/cm2 in 24-well plates (n = 3) and treated as described previously. The cells were harvested, lysed in 1 × PBS by ultrasonic pyrolysis. The supernatant (100 μL) was mixed with precipitant agents (100 μL) and centrifuged at 3500 rpm for 10 min at 25 °C. Following this, the reaction mixture was kept at room temperature for 5 min, and the absorbance values were measured at 405 nm using a Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA).", "The total RNA was extracted from the cells using RNAiso Plus reagent (TaKaRa, Kusatsu, Japan). RNAiso Plus (1 mL) was added to each culture dish (6 cm diameter) (n = 4) to lyse the cells. Total RNA (1 µg) was reverse transcribed using a PrimeScript TM RT reagent Kit with gDNA Eraser Kit (TaKaRa, Kusatsu, Japan). To quantify the mRNA expression, an amount of cDNA equivalent to the total RNA reacting system (20 µL) was amplified using SYBR Premix Ex Taq TM (TliRNase H Plus, TaKaRa, Kusatsu, Japan) following the manufacturer's protocol. The transcript levels of genes were evaluated with β-actin serving as the housekeeping internal control. The primer sequences are listed in Table 1. Relative transcript levels were calculated as 2–ΔΔCt, in which ΔΔCt = ΔE – ΔC, ΔE=Ctexp – Ctβ-actin and ΔC=Ctct1 – Ctβ-actin.\nPrimer of targeting genes.", "Following treatment, the cells were cultured in the osteogenic medium for 14 days and fixed with 4% formaldehyde at room temperature for 30 min and washed with 1 × PBS three times. The cells were stained with alkaline phosphatase (ALP, Beyotime Institute of Biotechnology, Shanghai, China) solution for 30 min at room temperature following the manufacturer's instructions. The photos were taken by an optical microscope (Olympus IX71, Tokyo, Japan).", "Immediately after treatment, cells were washed in 1 × PBS and fixed in 10% neutral buffered formalin (NBF, Cellpath, Newtown, UK) in 1 × PBS for 20 min before being stained with the CellTag 700 staining ICW Kit I (Li-Cor Biosciences, Lincoln, NE). The samples were then incubated with the mouse anti-human Sirt1 antibody (1:600, Thermo Fisher, Waltham, MA) at 4 °C overnight with gentle shaking, followed by extensive washing in 1 × PBS containing 0.1% Tween 20 (Sigma-Aldrich, Shanghai, China) five times for 5 min per wash. The IRDye 800 CW goat anti-mouse secondary antibody (1:800) with the CellTag™ 700 stains (1:500) were added for 1 h at room temperature with gentle shaking followed by washing in 1 × PBS containing 0.1% Tween 20 for 5 min per wash. The plate was scanned on the Odyssey SA Imaging System (Li-Cor Biosciences, Lincoln, NE) using both 700 and 800 nm detection channels. Image Studio version 5 (Li-Cor Biosciences, Lincoln, NE) was used for performing the quantitative In-Cell Western (ICW) analysis.", "Cells (2.5 × 104 cells/cm2) were seeded in eight-well multi-chambers (Falcon™ Culture Slides, Corning, Corning, NY) (n = 3) and cultured for 24 h. After treatment, the cells were fixed by 4% paraformaldehyde for 10 min at room temperature. The cells were washed three times with 1 × PBS and permeabilized by 0.2% Triton X-100 for 1 min. The cells were blocked with 10% goat serum (100 µL) (diluted in 1% BSA in 1 × PBS) (Dako, Nowy Sącz, Poland) for 30 min and washed five times with 1 × PBS before incubation in primary antibody (200 µL) (mouse anti-human Sirt1, 1:200 in 1% BSA) (Sigma-Aldrich, Shanghai, China) overnight at 4 °C. After rinsing with 1 × PBS, cells were incubated with Alexa-blue conjugated Goat Anti-Mouse secondary antibody (200 µL) (Alexa Fluor® 488, Invitrogen, Carlsbad, CA, 1:50 in 1% BSA-PBS) for 1 h at room temperature in darkness. The slides were examined with an inverted fluorescent microscope (ZEISS, AX-10, Oberkochen, Germany).", "All animal studies were conducted following international standards on animal welfare and approved by the Animal Research Committee of Guangdong Medical University (Zhanjiang, China). The study was approved by the suggestion of animal research ethics (GDY20023l0) at Guangdong Medical University. Forty female Kunming mice (1-month-old and 12-months-old) were arranged and randomly assigned to four groups: Old (12-months-old), Old-RSV (12-months-old + RSV), Young (1-month-old) and Young-RSV (1-month-old + RSV). Cranium defects (1.0 mm) were created in the parietal bones of mice (n = 5 per group). Mice in the Old-RSV and Young-RSV groups were injected intraperitoneally with 0.2 mL RSV of 20 mg/kg/d for seven days, while the mice in the Old and Young groups were intraperitoneally injected with normal saline 0.2 mL. The mice were euthanized at 4 weeks after the surgery. The parietal bones were harvested and fixed for 24 h in 4% paraformaldehyde for further study.", "Micro-computed tomography (micro-CT) analysis was performed as described previously (Zhang et al. 2019). Briefly, the images were obtained via ex vivo micro-CT systems (Skyscanner 1174; Skyscan, Aartselaar, Belgium). Each sample was placed in a sample holder with the sagittal suture oriented parallel to the image plane and scanned in the air using the aluminium filer (0.25 mm), isotropic voxels (13 μm), 1000 ms integration time and one frame average. The scanner was equipped with an 80 kV, 500 μA X-ray tube, and a-36.9 megapixel Calibrate Centre offset coupled to a scintillator. For three-dimensional reconstruction (NRecon software, Skyscanner, Edinburgh, UK), the greyscale was set from 50 to 140. Standard three-dimensional morphometric parameters were determined in the ROI (100 cuts; 2.5 mm circle). Representative three-dimensional images were created using CT vox software (Skyscan, Edinburgh, UK).", "The excitation source of the SHG microscope was used to be pumped by a mode-locked Ti:sapphire laser oscillator (Spectra-Physics, 80 fs, 80 MHz and average powers up to 2.9 W). The laser beam was coupled into a multiphoton fluorescence scanning microscope (BX61 + FV1200, Olympus, Tokyo, Japan). The femtoseconds laser beam was focussed onto the sample by the objective lens (10× U PlanSApo, 0.40 N.A.; Olympus, Tokyo, Japan) with 10 mW. The SHG signal was isolated from the fundamental and any fluorescence by a band-pass filter (400/10 nm) and detected using a photomultiplier tube in the backscattered light path. Images were 800 × 800 pixels with 2 μs/pixel dwell time.", "The samples were dehydrated through a graded series of ethanol solutions before they were embedded in paraffin, which was cut parallel to the cross into five sections for Sirt1 immunohistochemistry. The slides were incubated with primary antibodies anti-Sirt1 (Abcam, Waltham, MA; 1:150). The two-step plus Poly-HRP Anti Rabbit/Mouse IgG Detection System (Elabscience, Houston, TX) was used to detect immunoreactivity. The slides were counterstained with Mayer's haematoxylin (Hongqiaolexiang Inc., Shanghai, China) and cover-slipped using a permanent mounting medium.", "The statistical analysis was carried out by a two-tailed pair Student's t-test using GraphPad Prism 8.0 (GraphPad Software, La Jolla, CA). p Value <0.05 was considered statistically significant.", "Sirt1 was decreased in oxidative stress The concentration of H2O2 was optimized to induce oxidative stress, which was confirmed by the accumulation of ROS within the cells and cellular proliferation. After the treatment with H2O2 (0.2 mM), positive staining for ROS was located within the nuclei and cytoplasm of the cells (green). The ROS fluorescence intensity in the H2O2 (0.2 mM) group was stronger than the other groups (Figure 1(A,D)). Meanwhile, the fluorescence intensity of Sirt1 decreased in the H2O2 pre-treated group, which was localized within the nuclei and cytoplasm of the cells (Figure 1(A,G)).\nThe effect of H2O2 on cell morphology, ROS production, F-actin and Sirt1 protein in hDPSCs. (A) The morphology of hDPSCs treated with H2O2 detected by immunofluorescence, cell panels: (1) under bright field, (2) ROS, (3) F-actin, (4) Sirt1 (scale bar: 100 μM); (B) cell proliferation of hDPSCs shown on day 1, 2 and 3 of treatment with H2O2; (C) MTT assay showing cell viability at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (D) ROS fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (E) fibre fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (F) fibre length at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (G) Sirt1 fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group; #p < 0.05, ##p < 0.01, ###p < 0.001 vs. H2O2-0.2 mM group).\nThe concentration of H2O2 was optimized to induce oxidative stress, which was confirmed by the accumulation of ROS within the cells and cellular proliferation. After the treatment with H2O2 (0.2 mM), positive staining for ROS was located within the nuclei and cytoplasm of the cells (green). The ROS fluorescence intensity in the H2O2 (0.2 mM) group was stronger than the other groups (Figure 1(A,D)). Meanwhile, the fluorescence intensity of Sirt1 decreased in the H2O2 pre-treated group, which was localized within the nuclei and cytoplasm of the cells (Figure 1(A,G)).\nThe effect of H2O2 on cell morphology, ROS production, F-actin and Sirt1 protein in hDPSCs. (A) The morphology of hDPSCs treated with H2O2 detected by immunofluorescence, cell panels: (1) under bright field, (2) ROS, (3) F-actin, (4) Sirt1 (scale bar: 100 μM); (B) cell proliferation of hDPSCs shown on day 1, 2 and 3 of treatment with H2O2; (C) MTT assay showing cell viability at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (D) ROS fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (E) fibre fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (F) fibre length at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (G) Sirt1 fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group; #p < 0.05, ##p < 0.01, ###p < 0.001 vs. H2O2-0.2 mM group).\nRSV decreased oxidative stress of hDPSCs To investigate the effect of RSV against oxidative stress, the concentration of RSV was optimized by cell viability assay. The cell viability increased significantly in the RSV10 group than NC and H-RSV 10 than H2O2 group and the IC50 of RSV in hDPSCs is 67.65 ± 9.86. There were significant differences between the H2O2 group and H-RSV 10 group, and RSV (10 μM) was determined for the following experiments (Figure 2(A)). The ROS activity was declined (Figure 2(B)), the SOD enzyme activities were increased (Figure 2(C)) and the GSH concentration displayed enhancement (Figure 2(D)) in the H-RSV group compared with the H2O2 group. Similarly, further data showed that SOD1 and xCT mRNA expression increased significantly in the H-RSV group compared with the H2O2 group (Figure 2(E,F)).\nRSV promoted the proliferation and reduced the oxidative stress of hDPSCs pre-treated with H2O2. (A) Cell proliferation of hDPSCs pre-treated with/without H2O2 and different concentrations of RSV. (B) The ROS activity of hDPSCs pre-treated with/without H2O2 and RSV. (C) The SOD enzyme activity of hDPSCs pre-treated with/without H2O2 and RSV. (D) The GSH concentration of hDPSCs pre-treated with/without H2O2 and RSV. (E) The fold expression of SOD1 mRNA in hDPSCs. (F) The fold expression of xCT mRNA in hDPSCs. Group: NC (untreated cells), RSV (hDPSCs cultured with 10 μM RSV for 24 hours), H2O2 (hDPSCs treated by 0.2 mM H2O2 for 24 hours) and H-RSV (hDPSCs treated by 0.2 mM H2O2 cultured for 24 hours and then 10 μM RSV cultured for 24 hours) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group).\nTo investigate the effect of RSV against oxidative stress, the concentration of RSV was optimized by cell viability assay. The cell viability increased significantly in the RSV10 group than NC and H-RSV 10 than H2O2 group and the IC50 of RSV in hDPSCs is 67.65 ± 9.86. There were significant differences between the H2O2 group and H-RSV 10 group, and RSV (10 μM) was determined for the following experiments (Figure 2(A)). The ROS activity was declined (Figure 2(B)), the SOD enzyme activities were increased (Figure 2(C)) and the GSH concentration displayed enhancement (Figure 2(D)) in the H-RSV group compared with the H2O2 group. Similarly, further data showed that SOD1 and xCT mRNA expression increased significantly in the H-RSV group compared with the H2O2 group (Figure 2(E,F)).\nRSV promoted the proliferation and reduced the oxidative stress of hDPSCs pre-treated with H2O2. (A) Cell proliferation of hDPSCs pre-treated with/without H2O2 and different concentrations of RSV. (B) The ROS activity of hDPSCs pre-treated with/without H2O2 and RSV. (C) The SOD enzyme activity of hDPSCs pre-treated with/without H2O2 and RSV. (D) The GSH concentration of hDPSCs pre-treated with/without H2O2 and RSV. (E) The fold expression of SOD1 mRNA in hDPSCs. (F) The fold expression of xCT mRNA in hDPSCs. Group: NC (untreated cells), RSV (hDPSCs cultured with 10 μM RSV for 24 hours), H2O2 (hDPSCs treated by 0.2 mM H2O2 for 24 hours) and H-RSV (hDPSCs treated by 0.2 mM H2O2 cultured for 24 hours and then 10 μM RSV cultured for 24 hours) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group).\nRSV promotes the expression of osteogenic genes The mRNA expression of Runx2, OCN, Sirt1 and Nrf2 increased significantly in the H-RSV group compared with the H2O2 group (Figures 3(A,B) and 4(A,B)). Moreover, The ALP staining was significantly stronger by RSV with/without pre-treated with H2O2 (Figure 3(C)). Immunofluorescent staining and ICW showed that Sirt1 fluorescence intensity increased significantly by RSV compared with/without pre-treated with H2O2 (p < 0.05) (Figure 4(C–E)).\nRSV promoted the osteogenic differentiation of hDPSCs after the treatment of H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) The ALP staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group).\nRSV increased the Sirt1 and Nrf2 mRNA expression in hDPSCs by pre-treated with H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) Fluorescence intensity of In-Cell Western assay (ZEISS microscope AX-10). (D) The sirt1 fluorescence of hDPSCs pre-treated with/without H2O2 and RSV by In-cell western. (E) Sirt1 immunofluorescence staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group).\nThe mRNA expression of Runx2, OCN, Sirt1 and Nrf2 increased significantly in the H-RSV group compared with the H2O2 group (Figures 3(A,B) and 4(A,B)). Moreover, The ALP staining was significantly stronger by RSV with/without pre-treated with H2O2 (Figure 3(C)). Immunofluorescent staining and ICW showed that Sirt1 fluorescence intensity increased significantly by RSV compared with/without pre-treated with H2O2 (p < 0.05) (Figure 4(C–E)).\nRSV promoted the osteogenic differentiation of hDPSCs after the treatment of H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) The ALP staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group).\nRSV increased the Sirt1 and Nrf2 mRNA expression in hDPSCs by pre-treated with H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) Fluorescence intensity of In-Cell Western assay (ZEISS microscope AX-10). (D) The sirt1 fluorescence of hDPSCs pre-treated with/without H2O2 and RSV by In-cell western. (E) Sirt1 immunofluorescence staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group).\nRSV promotes bone mass in mice The area of the bone defect is significantly reduced in the 1-month-old + RSV group than the 1-month-old group, similarly in the 12-month-old + RSV group than the 12-month-old group. The intensity of collagen (green fluorescence) was stronger in the 12-month-old + RSV group than the 12-month-old group and stronger in the 1-month-old + RSV group than the 1-month-old group. The expression of Sirt1 was higher in the 12-month-old + RSV than the 12-month-old group (Figure 5).\nRSV promotes bone repair and increases bone mass. (A) Representative micro-CT images of bone repair and bone mass in calvarial defects. (B) Representative nonlinear optical microscope images of collagen in calvarial defects. (C) Immunohistochemical staining with sirt1 in hDPSCs pre-treated with/without H2O2 and RSV.\nThe area of the bone defect is significantly reduced in the 1-month-old + RSV group than the 1-month-old group, similarly in the 12-month-old + RSV group than the 12-month-old group. The intensity of collagen (green fluorescence) was stronger in the 12-month-old + RSV group than the 12-month-old group and stronger in the 1-month-old + RSV group than the 1-month-old group. The expression of Sirt1 was higher in the 12-month-old + RSV than the 12-month-old group (Figure 5).\nRSV promotes bone repair and increases bone mass. (A) Representative micro-CT images of bone repair and bone mass in calvarial defects. (B) Representative nonlinear optical microscope images of collagen in calvarial defects. (C) Immunohistochemical staining with sirt1 in hDPSCs pre-treated with/without H2O2 and RSV.", "The concentration of H2O2 was optimized to induce oxidative stress, which was confirmed by the accumulation of ROS within the cells and cellular proliferation. After the treatment with H2O2 (0.2 mM), positive staining for ROS was located within the nuclei and cytoplasm of the cells (green). The ROS fluorescence intensity in the H2O2 (0.2 mM) group was stronger than the other groups (Figure 1(A,D)). Meanwhile, the fluorescence intensity of Sirt1 decreased in the H2O2 pre-treated group, which was localized within the nuclei and cytoplasm of the cells (Figure 1(A,G)).\nThe effect of H2O2 on cell morphology, ROS production, F-actin and Sirt1 protein in hDPSCs. (A) The morphology of hDPSCs treated with H2O2 detected by immunofluorescence, cell panels: (1) under bright field, (2) ROS, (3) F-actin, (4) Sirt1 (scale bar: 100 μM); (B) cell proliferation of hDPSCs shown on day 1, 2 and 3 of treatment with H2O2; (C) MTT assay showing cell viability at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (D) ROS fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (E) fibre fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (F) fibre length at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (G) Sirt1 fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group; #p < 0.05, ##p < 0.01, ###p < 0.001 vs. H2O2-0.2 mM group).", "To investigate the effect of RSV against oxidative stress, the concentration of RSV was optimized by cell viability assay. The cell viability increased significantly in the RSV10 group than NC and H-RSV 10 than H2O2 group and the IC50 of RSV in hDPSCs is 67.65 ± 9.86. There were significant differences between the H2O2 group and H-RSV 10 group, and RSV (10 μM) was determined for the following experiments (Figure 2(A)). The ROS activity was declined (Figure 2(B)), the SOD enzyme activities were increased (Figure 2(C)) and the GSH concentration displayed enhancement (Figure 2(D)) in the H-RSV group compared with the H2O2 group. Similarly, further data showed that SOD1 and xCT mRNA expression increased significantly in the H-RSV group compared with the H2O2 group (Figure 2(E,F)).\nRSV promoted the proliferation and reduced the oxidative stress of hDPSCs pre-treated with H2O2. (A) Cell proliferation of hDPSCs pre-treated with/without H2O2 and different concentrations of RSV. (B) The ROS activity of hDPSCs pre-treated with/without H2O2 and RSV. (C) The SOD enzyme activity of hDPSCs pre-treated with/without H2O2 and RSV. (D) The GSH concentration of hDPSCs pre-treated with/without H2O2 and RSV. (E) The fold expression of SOD1 mRNA in hDPSCs. (F) The fold expression of xCT mRNA in hDPSCs. Group: NC (untreated cells), RSV (hDPSCs cultured with 10 μM RSV for 24 hours), H2O2 (hDPSCs treated by 0.2 mM H2O2 for 24 hours) and H-RSV (hDPSCs treated by 0.2 mM H2O2 cultured for 24 hours and then 10 μM RSV cultured for 24 hours) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group).", "The mRNA expression of Runx2, OCN, Sirt1 and Nrf2 increased significantly in the H-RSV group compared with the H2O2 group (Figures 3(A,B) and 4(A,B)). Moreover, The ALP staining was significantly stronger by RSV with/without pre-treated with H2O2 (Figure 3(C)). Immunofluorescent staining and ICW showed that Sirt1 fluorescence intensity increased significantly by RSV compared with/without pre-treated with H2O2 (p < 0.05) (Figure 4(C–E)).\nRSV promoted the osteogenic differentiation of hDPSCs after the treatment of H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) The ALP staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group).\nRSV increased the Sirt1 and Nrf2 mRNA expression in hDPSCs by pre-treated with H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) Fluorescence intensity of In-Cell Western assay (ZEISS microscope AX-10). (D) The sirt1 fluorescence of hDPSCs pre-treated with/without H2O2 and RSV by In-cell western. (E) Sirt1 immunofluorescence staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group).", "The area of the bone defect is significantly reduced in the 1-month-old + RSV group than the 1-month-old group, similarly in the 12-month-old + RSV group than the 12-month-old group. The intensity of collagen (green fluorescence) was stronger in the 12-month-old + RSV group than the 12-month-old group and stronger in the 1-month-old + RSV group than the 1-month-old group. The expression of Sirt1 was higher in the 12-month-old + RSV than the 12-month-old group (Figure 5).\nRSV promotes bone repair and increases bone mass. (A) Representative micro-CT images of bone repair and bone mass in calvarial defects. (B) Representative nonlinear optical microscope images of collagen in calvarial defects. (C) Immunohistochemical staining with sirt1 in hDPSCs pre-treated with/without H2O2 and RSV.", "Our present studies showed that hDPSCs pre-treated with H2O2 significantly reduced proliferation activity and increased oxidative stress. This finding was consistent with H2O2 induced oxidative stress in MC3T3-E1 cells (Choi et al. 2018). Previous studies also demonstrated that MSCs, when subjected to oxidative stress, significantly reduced proliferation activity (Mahmoudinia et al. 2019). The antioxidant activities of RSV were confirmed through the SOD enzyme activity and GSH concentration assay both to the normal cells and the oxidative-stressed cells, as well as the mRNA expressions of SOD1 and xCT, which represent the redox state of the cells.\nFurthermore, the up-regulated mRNA expression of RUNX2 and OCN, and the stronger ALP staining in hDPSCs treated by RSV with or without H2O2 pre-treatment, suggest that the RSV promoted osteogenesis of hDPSCs. In vivo, the collagen and bone matrix of the mouse calvarial defect area was significantly increased after RSV treatment, indicating that RSV could promote bone formation in young and ageing mice. This result is consistent with the previous study about RSV preventing bone loss (Su et al. 2017).\nOur results showed that the mRNA and protein expression of Sirt1 decreased in oxidative stress. However, these were increased by the treatment of RSV both in vitro and in vivo. Other studies also found that RSV could increase bone density via activating Sirt1 in mice (Liu et al. 2012). Besides, the Nrf2 mRNA expression was also enhanced by the treatment of RSV. Recent studies confirmed that Sirt1 regulates Nrf2 activation in the process of oxidative stress (Shah et al. 2017). Studies have confirmed that Nrf2 is a downstream target gene of Sirt1 (Wang et al. 2020). Taken together, these findings suggested that RSV could enhance osteogenesis via the Sirt1–Nrf2 pathway, indicating its therapeutic implication in anti-oxidative stress or other bone-related diseases.", "These findings shed light on the potential applications of RSV in stem cells-based therapy, with a higher proliferation rate and greater osteogenic potential of hDPSCs in regenerative medicine. Moreover, RSV might have the effect of promoting bone formation for the elderly or patients with oxidative stress physiological states such as hypertension, heart disease, diabetes, etc., as a potential agent." ]
[ "intro", "materials", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "results", null, null, null, null, "discussion", "conclusions" ]
[ "Dental pulp stromal cell", "ROS", "SOD", "RUNX1", "OCN", "xCT", "skull defect" ]
Introduction: Cell therapy has gained significant attention as a novel therapeutic approach to restore/repair tissue/organ functionality after injury (Marvasti et al. 2019). Cellular component represents the key factor in cell-based therapy, particularly in using mesenchymal stromal cells (MSCs), which is considered the gold standard for clinical research (Berebichez-Fridman and Montero-Olvera 2018). Although MSCs can hypothetically be obtained from different and accessible adult tissues, there are practical limitations concerning the invasive procedure, low procurement yield, donor site morbidity, extensive in vitro expansion and various donor characteristics (Berebichez-Fridman and Montero-Olvera 2018). A number of studies showed that the human dental pulp stromal cells (hDPSCs) are easily accessible via discarded medical waste (Gronthos et al. 2000) and have greater proliferative and osteogenic potential than the MSCs derived from bone marrow, making them favourable as an alternative MSC source for cell-based therapies (El-Gendy et al. 2013; Jensen et al. 2016). Recent evidence indicated that stem cells might undergo progressive senescence or lose their regenerative capacity and experience gradual exhaustion of their characteristic proliferative function. Oxidative stress refers to a functional inability of the reactive oxygen species (ROS) in performing the detoxification of metabolic reactive intermediates of biological systems (Forrester et al. 2018). Three important categories of ROS, hydrogen peroxide (H2O2), hydroxyl radicals (•OH) and superoxide anion (O2−), generated through different signalling pathways are reported to be beneficial for cellular processes such as cellular proliferation and differentiation (Guan et al. 2019; Li et al. 2019). Several studies have demonstrated that persistent intracellular accumulation of H2O2 and exogenous exposure to H2O2 could induce cellular senescence (Song et al. 2014; Zhu et al. 2015; Gao et al. 2017). Therefore, it is necessary to explore the osteogenic potential of hDPSCs in oxidative stress. Resveratrol (RSV; trans-3,5,4′-trihydroxystilbene), a naturally occurring nonflavonoid polyphenolic compound, richly presents in many fruits and vegetables, such as peanuts, mulberries and grapes (Gambini et al. 2013; Rauf et al. 2017). It has been reported that RSV can control the differentiation of lineage-specific neural stem cells and mediate the biological functions of terminally differentiated cells (Hu et al. 2014). Besides, RSV is also known as the Sirt1 activator (Wood et al. 2004) and has attained wide usage in dietary supplementation and traditional medicine (Biswas et al. 2020; Wu et al. 2020). Studies have shown that RSV exerts substantial antioxidant effects through scavenging excessive free radicals and enhancing the biosynthesis of intracellular antioxidant enzymes (Shakibaei et al. 2012; Kulkarni and Canto 2015; Sadi et al. 2018). Besides, RSV may prevent metabolic diseases through the activation of Sirt1, which further deacetylate the mitochondrial co-enzyme PGC-1α and improve mitochondrial functions (Lagouge et al. 2006). The mechanism of RSV regulating osteogenic potential in hDPSCs in oxidative stress needs further exploration. Therefore, we hypothesize that RSV could promote the osteogenesis of hDPSCs in oxidative stress via activating the Sirt1–Nrf2 pathway. Materials and methods: Cell culture A total of eight teeth from different donors obtained with patients’ informed consent according to the current study, which had approval from the Research Ethics Committee (YS2020147) were collected separately, and the hDPSCs were extracted according to the method as described in our previous article (Zhang et al. 2019). The hDPSCs were cultured with growth medium (α-modified minimum essential medium (α-MEM) supplemented with 10% fetal bovine serum (FBS), 1% penicillin/streptomycin and 2 mM l-glutamine). All reagents were obtained from Gibco (Carlsbad, CA), and the cells were cultured in an incubator at 37 °C with 5% CO2 (Binder, Tuttlingen, Germany). The medium was changed every three days, and the cells were treated with trypsin when they reached 80% confluence. The hDPSCs of passages 3–5 were used for the following experiments. A total of eight teeth from different donors obtained with patients’ informed consent according to the current study, which had approval from the Research Ethics Committee (YS2020147) were collected separately, and the hDPSCs were extracted according to the method as described in our previous article (Zhang et al. 2019). The hDPSCs were cultured with growth medium (α-modified minimum essential medium (α-MEM) supplemented with 10% fetal bovine serum (FBS), 1% penicillin/streptomycin and 2 mM l-glutamine). All reagents were obtained from Gibco (Carlsbad, CA), and the cells were cultured in an incubator at 37 °C with 5% CO2 (Binder, Tuttlingen, Germany). The medium was changed every three days, and the cells were treated with trypsin when they reached 80% confluence. The hDPSCs of passages 3–5 were used for the following experiments. Oxidative stress cell model and regents The oxidative stress model was optimized by different concentrations of H2O2 (0.1, 0.2 and 0.3 mM) treated for 24 h. All H2O2 solutions were prepared freshly. The RSV (Sigma-Aldrich, Shanghai, China) was dissolved in dimethyl sulfoxide (10 µL) (DMSO, Sigma-Aldrich, Shanghai, China) and diluted to 10 μM final concentration in a growth medium. The hDPSCs (n = 8) were divided into four groups. Normal control (NC) group refers to the hDPSCs which were cultured with growth medium, RSV group refers to the hDPSCs which were treated with RSV, H2O2 group were the hDPSCs which were cultured with H2O2 (0.2 mM), and H-RSV refers to the hDPSCs which were cultured with 0.2 mM H2O2 and 10 μM RSV. The oxidative stress model was optimized by different concentrations of H2O2 (0.1, 0.2 and 0.3 mM) treated for 24 h. All H2O2 solutions were prepared freshly. The RSV (Sigma-Aldrich, Shanghai, China) was dissolved in dimethyl sulfoxide (10 µL) (DMSO, Sigma-Aldrich, Shanghai, China) and diluted to 10 μM final concentration in a growth medium. The hDPSCs (n = 8) were divided into four groups. Normal control (NC) group refers to the hDPSCs which were cultured with growth medium, RSV group refers to the hDPSCs which were treated with RSV, H2O2 group were the hDPSCs which were cultured with H2O2 (0.2 mM), and H-RSV refers to the hDPSCs which were cultured with 0.2 mM H2O2 and 10 μM RSV. Intracellular ROS fluorescent staining The cells at 2.5 × 104 cells/cm2 (n = 6) were seeded and attached to eight-chamber glass coverslips (Corning, Falcon culture slides, Corning, NY). Peroxide-sensitive dye 2′,7′-dichlorodihydrofluorescein diacetate (H2DCF-DA) (50 μg) (Invitrogen™, Carlsbad, CA) was dissolved in DMSO (10 μL) and were diluted with the serum-free medium at a final concentration of 17.4 μM. The cells were incubated at 37 °C in darkness for 30 min and washed with 1 × PBS three times. The images were acquired by inverted fluorescence microscopy (ZEISS, AX-10, Oberkochen, Germany). The cells at 2.5 × 104 cells/cm2 (n = 6) were seeded and attached to eight-chamber glass coverslips (Corning, Falcon culture slides, Corning, NY). Peroxide-sensitive dye 2′,7′-dichlorodihydrofluorescein diacetate (H2DCF-DA) (50 μg) (Invitrogen™, Carlsbad, CA) was dissolved in DMSO (10 μL) and were diluted with the serum-free medium at a final concentration of 17.4 μM. The cells were incubated at 37 °C in darkness for 30 min and washed with 1 × PBS three times. The images were acquired by inverted fluorescence microscopy (ZEISS, AX-10, Oberkochen, Germany). Cell proliferation assay Cell proliferation assay was determined by MTT Cell Proliferation and Cytotoxicity Assay Kit (Solarbio, Beijing, China). Briefly, the cells were seeded in 96-well plates at 2.5 × 104 cells/cm2 (n = 6) and cultured in a growth medium for 24 h. MTT reagent (10 μL) and serum-free basal media (90 μL) were added to each well and incubated for 4 h. The supernatant was aspirated; formazan solutions (110 μL) were added to each well to dissolve the MTT formazan. Absorbance was measured at 490 nm using the Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA). Cell proliferation assay was determined by MTT Cell Proliferation and Cytotoxicity Assay Kit (Solarbio, Beijing, China). Briefly, the cells were seeded in 96-well plates at 2.5 × 104 cells/cm2 (n = 6) and cultured in a growth medium for 24 h. MTT reagent (10 μL) and serum-free basal media (90 μL) were added to each well and incubated for 4 h. The supernatant was aspirated; formazan solutions (110 μL) were added to each well to dissolve the MTT formazan. Absorbance was measured at 490 nm using the Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA). ROS activity The intracellular ROS activity was examined by the Reactive Oxygen Species Assay Kit (Beyotime Biotechnology, Shanghai, China). Briefly, the cells were seeded at the density of 2.5 × 104 cells/cm2 in 96-well plates and cultured for 24 h (n = 3). DCFH-DA was diluted 1:1000 in serum-free medium to 10 μmol/L concentration and added to each well. The cells were incubated at 37 °C for 20 min and washed three times with a serum-free medium. The ROS activity was measured at 488 nm by Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA). The intracellular ROS activity was examined by the Reactive Oxygen Species Assay Kit (Beyotime Biotechnology, Shanghai, China). Briefly, the cells were seeded at the density of 2.5 × 104 cells/cm2 in 96-well plates and cultured for 24 h (n = 3). DCFH-DA was diluted 1:1000 in serum-free medium to 10 μmol/L concentration and added to each well. The cells were incubated at 37 °C for 20 min and washed three times with a serum-free medium. The ROS activity was measured at 488 nm by Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA). SOD enzyme activity A total superoxide dismutase (SOD) assay kit with water-soluble tetrazolium salt, WST-1 (Beyotime Biotechnology, Shanghai, China), was used to analyse the SOD enzyme activity following the manufacturer's instructions. Briefly, the cells were seeded at a density of 2.5 × 104 cells/cm2 in 96-well plates (n = 3) and treated as described previously. The cells were harvested, lysed in 1 × PBS by ultrasonic pyrolysis, and centrifuged at 2200 rpm for 5 min at 4 °C. The supernatant (100 μL) was mixed with SOD working solution (160 μL) at 4 °C. The reaction mixture was centrifuged and transferred to 96-well plates, and the absorbance values were measured at 450 nm using a Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA). A total superoxide dismutase (SOD) assay kit with water-soluble tetrazolium salt, WST-1 (Beyotime Biotechnology, Shanghai, China), was used to analyse the SOD enzyme activity following the manufacturer's instructions. Briefly, the cells were seeded at a density of 2.5 × 104 cells/cm2 in 96-well plates (n = 3) and treated as described previously. The cells were harvested, lysed in 1 × PBS by ultrasonic pyrolysis, and centrifuged at 2200 rpm for 5 min at 4 °C. The supernatant (100 μL) was mixed with SOD working solution (160 μL) at 4 °C. The reaction mixture was centrifuged and transferred to 96-well plates, and the absorbance values were measured at 450 nm using a Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA). Glutathione (GSH) concentration assay A total glutathione assay kit (Nanjing Jiancheng Bioengineering Institute, Nanjing, China) with enzyme labelling was used to analyse GSH following the manufacturer's instructions. Briefly, the cells were seeded at 2.5 × 104 cells/cm2 in 24-well plates (n = 3) and treated as described previously. The cells were harvested, lysed in 1 × PBS by ultrasonic pyrolysis. The supernatant (100 μL) was mixed with precipitant agents (100 μL) and centrifuged at 3500 rpm for 10 min at 25 °C. Following this, the reaction mixture was kept at room temperature for 5 min, and the absorbance values were measured at 405 nm using a Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA). A total glutathione assay kit (Nanjing Jiancheng Bioengineering Institute, Nanjing, China) with enzyme labelling was used to analyse GSH following the manufacturer's instructions. Briefly, the cells were seeded at 2.5 × 104 cells/cm2 in 24-well plates (n = 3) and treated as described previously. The cells were harvested, lysed in 1 × PBS by ultrasonic pyrolysis. The supernatant (100 μL) was mixed with precipitant agents (100 μL) and centrifuged at 3500 rpm for 10 min at 25 °C. Following this, the reaction mixture was kept at room temperature for 5 min, and the absorbance values were measured at 405 nm using a Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA). Quantitative real-time PCR (qRT-PCR) The total RNA was extracted from the cells using RNAiso Plus reagent (TaKaRa, Kusatsu, Japan). RNAiso Plus (1 mL) was added to each culture dish (6 cm diameter) (n = 4) to lyse the cells. Total RNA (1 µg) was reverse transcribed using a PrimeScript TM RT reagent Kit with gDNA Eraser Kit (TaKaRa, Kusatsu, Japan). To quantify the mRNA expression, an amount of cDNA equivalent to the total RNA reacting system (20 µL) was amplified using SYBR Premix Ex Taq TM (TliRNase H Plus, TaKaRa, Kusatsu, Japan) following the manufacturer's protocol. The transcript levels of genes were evaluated with β-actin serving as the housekeeping internal control. The primer sequences are listed in Table 1. Relative transcript levels were calculated as 2–ΔΔCt, in which ΔΔCt = ΔE – ΔC, ΔE=Ctexp – Ctβ-actin and ΔC=Ctct1 – Ctβ-actin. Primer of targeting genes. The total RNA was extracted from the cells using RNAiso Plus reagent (TaKaRa, Kusatsu, Japan). RNAiso Plus (1 mL) was added to each culture dish (6 cm diameter) (n = 4) to lyse the cells. Total RNA (1 µg) was reverse transcribed using a PrimeScript TM RT reagent Kit with gDNA Eraser Kit (TaKaRa, Kusatsu, Japan). To quantify the mRNA expression, an amount of cDNA equivalent to the total RNA reacting system (20 µL) was amplified using SYBR Premix Ex Taq TM (TliRNase H Plus, TaKaRa, Kusatsu, Japan) following the manufacturer's protocol. The transcript levels of genes were evaluated with β-actin serving as the housekeeping internal control. The primer sequences are listed in Table 1. Relative transcript levels were calculated as 2–ΔΔCt, in which ΔΔCt = ΔE – ΔC, ΔE=Ctexp – Ctβ-actin and ΔC=Ctct1 – Ctβ-actin. Primer of targeting genes. ALP staining Following treatment, the cells were cultured in the osteogenic medium for 14 days and fixed with 4% formaldehyde at room temperature for 30 min and washed with 1 × PBS three times. The cells were stained with alkaline phosphatase (ALP, Beyotime Institute of Biotechnology, Shanghai, China) solution for 30 min at room temperature following the manufacturer's instructions. The photos were taken by an optical microscope (Olympus IX71, Tokyo, Japan). Following treatment, the cells were cultured in the osteogenic medium for 14 days and fixed with 4% formaldehyde at room temperature for 30 min and washed with 1 × PBS three times. The cells were stained with alkaline phosphatase (ALP, Beyotime Institute of Biotechnology, Shanghai, China) solution for 30 min at room temperature following the manufacturer's instructions. The photos were taken by an optical microscope (Olympus IX71, Tokyo, Japan). In-Cell Western analysis Immediately after treatment, cells were washed in 1 × PBS and fixed in 10% neutral buffered formalin (NBF, Cellpath, Newtown, UK) in 1 × PBS for 20 min before being stained with the CellTag 700 staining ICW Kit I (Li-Cor Biosciences, Lincoln, NE). The samples were then incubated with the mouse anti-human Sirt1 antibody (1:600, Thermo Fisher, Waltham, MA) at 4 °C overnight with gentle shaking, followed by extensive washing in 1 × PBS containing 0.1% Tween 20 (Sigma-Aldrich, Shanghai, China) five times for 5 min per wash. The IRDye 800 CW goat anti-mouse secondary antibody (1:800) with the CellTag™ 700 stains (1:500) were added for 1 h at room temperature with gentle shaking followed by washing in 1 × PBS containing 0.1% Tween 20 for 5 min per wash. The plate was scanned on the Odyssey SA Imaging System (Li-Cor Biosciences, Lincoln, NE) using both 700 and 800 nm detection channels. Image Studio version 5 (Li-Cor Biosciences, Lincoln, NE) was used for performing the quantitative In-Cell Western (ICW) analysis. Immediately after treatment, cells were washed in 1 × PBS and fixed in 10% neutral buffered formalin (NBF, Cellpath, Newtown, UK) in 1 × PBS for 20 min before being stained with the CellTag 700 staining ICW Kit I (Li-Cor Biosciences, Lincoln, NE). The samples were then incubated with the mouse anti-human Sirt1 antibody (1:600, Thermo Fisher, Waltham, MA) at 4 °C overnight with gentle shaking, followed by extensive washing in 1 × PBS containing 0.1% Tween 20 (Sigma-Aldrich, Shanghai, China) five times for 5 min per wash. The IRDye 800 CW goat anti-mouse secondary antibody (1:800) with the CellTag™ 700 stains (1:500) were added for 1 h at room temperature with gentle shaking followed by washing in 1 × PBS containing 0.1% Tween 20 for 5 min per wash. The plate was scanned on the Odyssey SA Imaging System (Li-Cor Biosciences, Lincoln, NE) using both 700 and 800 nm detection channels. Image Studio version 5 (Li-Cor Biosciences, Lincoln, NE) was used for performing the quantitative In-Cell Western (ICW) analysis. Immunofluorescence labelling of Sirt1 Cells (2.5 × 104 cells/cm2) were seeded in eight-well multi-chambers (Falcon™ Culture Slides, Corning, Corning, NY) (n = 3) and cultured for 24 h. After treatment, the cells were fixed by 4% paraformaldehyde for 10 min at room temperature. The cells were washed three times with 1 × PBS and permeabilized by 0.2% Triton X-100 for 1 min. The cells were blocked with 10% goat serum (100 µL) (diluted in 1% BSA in 1 × PBS) (Dako, Nowy Sącz, Poland) for 30 min and washed five times with 1 × PBS before incubation in primary antibody (200 µL) (mouse anti-human Sirt1, 1:200 in 1% BSA) (Sigma-Aldrich, Shanghai, China) overnight at 4 °C. After rinsing with 1 × PBS, cells were incubated with Alexa-blue conjugated Goat Anti-Mouse secondary antibody (200 µL) (Alexa Fluor® 488, Invitrogen, Carlsbad, CA, 1:50 in 1% BSA-PBS) for 1 h at room temperature in darkness. The slides were examined with an inverted fluorescent microscope (ZEISS, AX-10, Oberkochen, Germany). Cells (2.5 × 104 cells/cm2) were seeded in eight-well multi-chambers (Falcon™ Culture Slides, Corning, Corning, NY) (n = 3) and cultured for 24 h. After treatment, the cells were fixed by 4% paraformaldehyde for 10 min at room temperature. The cells were washed three times with 1 × PBS and permeabilized by 0.2% Triton X-100 for 1 min. The cells were blocked with 10% goat serum (100 µL) (diluted in 1% BSA in 1 × PBS) (Dako, Nowy Sącz, Poland) for 30 min and washed five times with 1 × PBS before incubation in primary antibody (200 µL) (mouse anti-human Sirt1, 1:200 in 1% BSA) (Sigma-Aldrich, Shanghai, China) overnight at 4 °C. After rinsing with 1 × PBS, cells were incubated with Alexa-blue conjugated Goat Anti-Mouse secondary antibody (200 µL) (Alexa Fluor® 488, Invitrogen, Carlsbad, CA, 1:50 in 1% BSA-PBS) for 1 h at room temperature in darkness. The slides were examined with an inverted fluorescent microscope (ZEISS, AX-10, Oberkochen, Germany). Animals and tissue sections All animal studies were conducted following international standards on animal welfare and approved by the Animal Research Committee of Guangdong Medical University (Zhanjiang, China). The study was approved by the suggestion of animal research ethics (GDY20023l0) at Guangdong Medical University. Forty female Kunming mice (1-month-old and 12-months-old) were arranged and randomly assigned to four groups: Old (12-months-old), Old-RSV (12-months-old + RSV), Young (1-month-old) and Young-RSV (1-month-old + RSV). Cranium defects (1.0 mm) were created in the parietal bones of mice (n = 5 per group). Mice in the Old-RSV and Young-RSV groups were injected intraperitoneally with 0.2 mL RSV of 20 mg/kg/d for seven days, while the mice in the Old and Young groups were intraperitoneally injected with normal saline 0.2 mL. The mice were euthanized at 4 weeks after the surgery. The parietal bones were harvested and fixed for 24 h in 4% paraformaldehyde for further study. All animal studies were conducted following international standards on animal welfare and approved by the Animal Research Committee of Guangdong Medical University (Zhanjiang, China). The study was approved by the suggestion of animal research ethics (GDY20023l0) at Guangdong Medical University. Forty female Kunming mice (1-month-old and 12-months-old) were arranged and randomly assigned to four groups: Old (12-months-old), Old-RSV (12-months-old + RSV), Young (1-month-old) and Young-RSV (1-month-old + RSV). Cranium defects (1.0 mm) were created in the parietal bones of mice (n = 5 per group). Mice in the Old-RSV and Young-RSV groups were injected intraperitoneally with 0.2 mL RSV of 20 mg/kg/d for seven days, while the mice in the Old and Young groups were intraperitoneally injected with normal saline 0.2 mL. The mice were euthanized at 4 weeks after the surgery. The parietal bones were harvested and fixed for 24 h in 4% paraformaldehyde for further study. Micro-computed tomography Micro-computed tomography (micro-CT) analysis was performed as described previously (Zhang et al. 2019). Briefly, the images were obtained via ex vivo micro-CT systems (Skyscanner 1174; Skyscan, Aartselaar, Belgium). Each sample was placed in a sample holder with the sagittal suture oriented parallel to the image plane and scanned in the air using the aluminium filer (0.25 mm), isotropic voxels (13 μm), 1000 ms integration time and one frame average. The scanner was equipped with an 80 kV, 500 μA X-ray tube, and a-36.9 megapixel Calibrate Centre offset coupled to a scintillator. For three-dimensional reconstruction (NRecon software, Skyscanner, Edinburgh, UK), the greyscale was set from 50 to 140. Standard three-dimensional morphometric parameters were determined in the ROI (100 cuts; 2.5 mm circle). Representative three-dimensional images were created using CT vox software (Skyscan, Edinburgh, UK). Micro-computed tomography (micro-CT) analysis was performed as described previously (Zhang et al. 2019). Briefly, the images were obtained via ex vivo micro-CT systems (Skyscanner 1174; Skyscan, Aartselaar, Belgium). Each sample was placed in a sample holder with the sagittal suture oriented parallel to the image plane and scanned in the air using the aluminium filer (0.25 mm), isotropic voxels (13 μm), 1000 ms integration time and one frame average. The scanner was equipped with an 80 kV, 500 μA X-ray tube, and a-36.9 megapixel Calibrate Centre offset coupled to a scintillator. For three-dimensional reconstruction (NRecon software, Skyscanner, Edinburgh, UK), the greyscale was set from 50 to 140. Standard three-dimensional morphometric parameters were determined in the ROI (100 cuts; 2.5 mm circle). Representative three-dimensional images were created using CT vox software (Skyscan, Edinburgh, UK). Nonlinear optical microscope observation The excitation source of the SHG microscope was used to be pumped by a mode-locked Ti:sapphire laser oscillator (Spectra-Physics, 80 fs, 80 MHz and average powers up to 2.9 W). The laser beam was coupled into a multiphoton fluorescence scanning microscope (BX61 + FV1200, Olympus, Tokyo, Japan). The femtoseconds laser beam was focussed onto the sample by the objective lens (10× U PlanSApo, 0.40 N.A.; Olympus, Tokyo, Japan) with 10 mW. The SHG signal was isolated from the fundamental and any fluorescence by a band-pass filter (400/10 nm) and detected using a photomultiplier tube in the backscattered light path. Images were 800 × 800 pixels with 2 μs/pixel dwell time. The excitation source of the SHG microscope was used to be pumped by a mode-locked Ti:sapphire laser oscillator (Spectra-Physics, 80 fs, 80 MHz and average powers up to 2.9 W). The laser beam was coupled into a multiphoton fluorescence scanning microscope (BX61 + FV1200, Olympus, Tokyo, Japan). The femtoseconds laser beam was focussed onto the sample by the objective lens (10× U PlanSApo, 0.40 N.A.; Olympus, Tokyo, Japan) with 10 mW. The SHG signal was isolated from the fundamental and any fluorescence by a band-pass filter (400/10 nm) and detected using a photomultiplier tube in the backscattered light path. Images were 800 × 800 pixels with 2 μs/pixel dwell time. Immunohistochemistry The samples were dehydrated through a graded series of ethanol solutions before they were embedded in paraffin, which was cut parallel to the cross into five sections for Sirt1 immunohistochemistry. The slides were incubated with primary antibodies anti-Sirt1 (Abcam, Waltham, MA; 1:150). The two-step plus Poly-HRP Anti Rabbit/Mouse IgG Detection System (Elabscience, Houston, TX) was used to detect immunoreactivity. The slides were counterstained with Mayer's haematoxylin (Hongqiaolexiang Inc., Shanghai, China) and cover-slipped using a permanent mounting medium. The samples were dehydrated through a graded series of ethanol solutions before they were embedded in paraffin, which was cut parallel to the cross into five sections for Sirt1 immunohistochemistry. The slides were incubated with primary antibodies anti-Sirt1 (Abcam, Waltham, MA; 1:150). The two-step plus Poly-HRP Anti Rabbit/Mouse IgG Detection System (Elabscience, Houston, TX) was used to detect immunoreactivity. The slides were counterstained with Mayer's haematoxylin (Hongqiaolexiang Inc., Shanghai, China) and cover-slipped using a permanent mounting medium. Statistical analysis The statistical analysis was carried out by a two-tailed pair Student's t-test using GraphPad Prism 8.0 (GraphPad Software, La Jolla, CA). p Value <0.05 was considered statistically significant. The statistical analysis was carried out by a two-tailed pair Student's t-test using GraphPad Prism 8.0 (GraphPad Software, La Jolla, CA). p Value <0.05 was considered statistically significant. Cell culture: A total of eight teeth from different donors obtained with patients’ informed consent according to the current study, which had approval from the Research Ethics Committee (YS2020147) were collected separately, and the hDPSCs were extracted according to the method as described in our previous article (Zhang et al. 2019). The hDPSCs were cultured with growth medium (α-modified minimum essential medium (α-MEM) supplemented with 10% fetal bovine serum (FBS), 1% penicillin/streptomycin and 2 mM l-glutamine). All reagents were obtained from Gibco (Carlsbad, CA), and the cells were cultured in an incubator at 37 °C with 5% CO2 (Binder, Tuttlingen, Germany). The medium was changed every three days, and the cells were treated with trypsin when they reached 80% confluence. The hDPSCs of passages 3–5 were used for the following experiments. Oxidative stress cell model and regents: The oxidative stress model was optimized by different concentrations of H2O2 (0.1, 0.2 and 0.3 mM) treated for 24 h. All H2O2 solutions were prepared freshly. The RSV (Sigma-Aldrich, Shanghai, China) was dissolved in dimethyl sulfoxide (10 µL) (DMSO, Sigma-Aldrich, Shanghai, China) and diluted to 10 μM final concentration in a growth medium. The hDPSCs (n = 8) were divided into four groups. Normal control (NC) group refers to the hDPSCs which were cultured with growth medium, RSV group refers to the hDPSCs which were treated with RSV, H2O2 group were the hDPSCs which were cultured with H2O2 (0.2 mM), and H-RSV refers to the hDPSCs which were cultured with 0.2 mM H2O2 and 10 μM RSV. Intracellular ROS fluorescent staining: The cells at 2.5 × 104 cells/cm2 (n = 6) were seeded and attached to eight-chamber glass coverslips (Corning, Falcon culture slides, Corning, NY). Peroxide-sensitive dye 2′,7′-dichlorodihydrofluorescein diacetate (H2DCF-DA) (50 μg) (Invitrogen™, Carlsbad, CA) was dissolved in DMSO (10 μL) and were diluted with the serum-free medium at a final concentration of 17.4 μM. The cells were incubated at 37 °C in darkness for 30 min and washed with 1 × PBS three times. The images were acquired by inverted fluorescence microscopy (ZEISS, AX-10, Oberkochen, Germany). Cell proliferation assay: Cell proliferation assay was determined by MTT Cell Proliferation and Cytotoxicity Assay Kit (Solarbio, Beijing, China). Briefly, the cells were seeded in 96-well plates at 2.5 × 104 cells/cm2 (n = 6) and cultured in a growth medium for 24 h. MTT reagent (10 μL) and serum-free basal media (90 μL) were added to each well and incubated for 4 h. The supernatant was aspirated; formazan solutions (110 μL) were added to each well to dissolve the MTT formazan. Absorbance was measured at 490 nm using the Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA). ROS activity: The intracellular ROS activity was examined by the Reactive Oxygen Species Assay Kit (Beyotime Biotechnology, Shanghai, China). Briefly, the cells were seeded at the density of 2.5 × 104 cells/cm2 in 96-well plates and cultured for 24 h (n = 3). DCFH-DA was diluted 1:1000 in serum-free medium to 10 μmol/L concentration and added to each well. The cells were incubated at 37 °C for 20 min and washed three times with a serum-free medium. The ROS activity was measured at 488 nm by Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA). SOD enzyme activity: A total superoxide dismutase (SOD) assay kit with water-soluble tetrazolium salt, WST-1 (Beyotime Biotechnology, Shanghai, China), was used to analyse the SOD enzyme activity following the manufacturer's instructions. Briefly, the cells were seeded at a density of 2.5 × 104 cells/cm2 in 96-well plates (n = 3) and treated as described previously. The cells were harvested, lysed in 1 × PBS by ultrasonic pyrolysis, and centrifuged at 2200 rpm for 5 min at 4 °C. The supernatant (100 μL) was mixed with SOD working solution (160 μL) at 4 °C. The reaction mixture was centrifuged and transferred to 96-well plates, and the absorbance values were measured at 450 nm using a Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA). Glutathione (GSH) concentration assay: A total glutathione assay kit (Nanjing Jiancheng Bioengineering Institute, Nanjing, China) with enzyme labelling was used to analyse GSH following the manufacturer's instructions. Briefly, the cells were seeded at 2.5 × 104 cells/cm2 in 24-well plates (n = 3) and treated as described previously. The cells were harvested, lysed in 1 × PBS by ultrasonic pyrolysis. The supernatant (100 μL) was mixed with precipitant agents (100 μL) and centrifuged at 3500 rpm for 10 min at 25 °C. Following this, the reaction mixture was kept at room temperature for 5 min, and the absorbance values were measured at 405 nm using a Spectra Max® Plus Absorbance Microplate Reader (Molecular Devices, Sunnyvale, CA). Quantitative real-time PCR (qRT-PCR): The total RNA was extracted from the cells using RNAiso Plus reagent (TaKaRa, Kusatsu, Japan). RNAiso Plus (1 mL) was added to each culture dish (6 cm diameter) (n = 4) to lyse the cells. Total RNA (1 µg) was reverse transcribed using a PrimeScript TM RT reagent Kit with gDNA Eraser Kit (TaKaRa, Kusatsu, Japan). To quantify the mRNA expression, an amount of cDNA equivalent to the total RNA reacting system (20 µL) was amplified using SYBR Premix Ex Taq TM (TliRNase H Plus, TaKaRa, Kusatsu, Japan) following the manufacturer's protocol. The transcript levels of genes were evaluated with β-actin serving as the housekeeping internal control. The primer sequences are listed in Table 1. Relative transcript levels were calculated as 2–ΔΔCt, in which ΔΔCt = ΔE – ΔC, ΔE=Ctexp – Ctβ-actin and ΔC=Ctct1 – Ctβ-actin. Primer of targeting genes. ALP staining: Following treatment, the cells were cultured in the osteogenic medium for 14 days and fixed with 4% formaldehyde at room temperature for 30 min and washed with 1 × PBS three times. The cells were stained with alkaline phosphatase (ALP, Beyotime Institute of Biotechnology, Shanghai, China) solution for 30 min at room temperature following the manufacturer's instructions. The photos were taken by an optical microscope (Olympus IX71, Tokyo, Japan). In-Cell Western analysis: Immediately after treatment, cells were washed in 1 × PBS and fixed in 10% neutral buffered formalin (NBF, Cellpath, Newtown, UK) in 1 × PBS for 20 min before being stained with the CellTag 700 staining ICW Kit I (Li-Cor Biosciences, Lincoln, NE). The samples were then incubated with the mouse anti-human Sirt1 antibody (1:600, Thermo Fisher, Waltham, MA) at 4 °C overnight with gentle shaking, followed by extensive washing in 1 × PBS containing 0.1% Tween 20 (Sigma-Aldrich, Shanghai, China) five times for 5 min per wash. The IRDye 800 CW goat anti-mouse secondary antibody (1:800) with the CellTag™ 700 stains (1:500) were added for 1 h at room temperature with gentle shaking followed by washing in 1 × PBS containing 0.1% Tween 20 for 5 min per wash. The plate was scanned on the Odyssey SA Imaging System (Li-Cor Biosciences, Lincoln, NE) using both 700 and 800 nm detection channels. Image Studio version 5 (Li-Cor Biosciences, Lincoln, NE) was used for performing the quantitative In-Cell Western (ICW) analysis. Immunofluorescence labelling of Sirt1: Cells (2.5 × 104 cells/cm2) were seeded in eight-well multi-chambers (Falcon™ Culture Slides, Corning, Corning, NY) (n = 3) and cultured for 24 h. After treatment, the cells were fixed by 4% paraformaldehyde for 10 min at room temperature. The cells were washed three times with 1 × PBS and permeabilized by 0.2% Triton X-100 for 1 min. The cells were blocked with 10% goat serum (100 µL) (diluted in 1% BSA in 1 × PBS) (Dako, Nowy Sącz, Poland) for 30 min and washed five times with 1 × PBS before incubation in primary antibody (200 µL) (mouse anti-human Sirt1, 1:200 in 1% BSA) (Sigma-Aldrich, Shanghai, China) overnight at 4 °C. After rinsing with 1 × PBS, cells were incubated with Alexa-blue conjugated Goat Anti-Mouse secondary antibody (200 µL) (Alexa Fluor® 488, Invitrogen, Carlsbad, CA, 1:50 in 1% BSA-PBS) for 1 h at room temperature in darkness. The slides were examined with an inverted fluorescent microscope (ZEISS, AX-10, Oberkochen, Germany). Animals and tissue sections: All animal studies were conducted following international standards on animal welfare and approved by the Animal Research Committee of Guangdong Medical University (Zhanjiang, China). The study was approved by the suggestion of animal research ethics (GDY20023l0) at Guangdong Medical University. Forty female Kunming mice (1-month-old and 12-months-old) were arranged and randomly assigned to four groups: Old (12-months-old), Old-RSV (12-months-old + RSV), Young (1-month-old) and Young-RSV (1-month-old + RSV). Cranium defects (1.0 mm) were created in the parietal bones of mice (n = 5 per group). Mice in the Old-RSV and Young-RSV groups were injected intraperitoneally with 0.2 mL RSV of 20 mg/kg/d for seven days, while the mice in the Old and Young groups were intraperitoneally injected with normal saline 0.2 mL. The mice were euthanized at 4 weeks after the surgery. The parietal bones were harvested and fixed for 24 h in 4% paraformaldehyde for further study. Micro-computed tomography: Micro-computed tomography (micro-CT) analysis was performed as described previously (Zhang et al. 2019). Briefly, the images were obtained via ex vivo micro-CT systems (Skyscanner 1174; Skyscan, Aartselaar, Belgium). Each sample was placed in a sample holder with the sagittal suture oriented parallel to the image plane and scanned in the air using the aluminium filer (0.25 mm), isotropic voxels (13 μm), 1000 ms integration time and one frame average. The scanner was equipped with an 80 kV, 500 μA X-ray tube, and a-36.9 megapixel Calibrate Centre offset coupled to a scintillator. For three-dimensional reconstruction (NRecon software, Skyscanner, Edinburgh, UK), the greyscale was set from 50 to 140. Standard three-dimensional morphometric parameters were determined in the ROI (100 cuts; 2.5 mm circle). Representative three-dimensional images were created using CT vox software (Skyscan, Edinburgh, UK). Nonlinear optical microscope observation: The excitation source of the SHG microscope was used to be pumped by a mode-locked Ti:sapphire laser oscillator (Spectra-Physics, 80 fs, 80 MHz and average powers up to 2.9 W). The laser beam was coupled into a multiphoton fluorescence scanning microscope (BX61 + FV1200, Olympus, Tokyo, Japan). The femtoseconds laser beam was focussed onto the sample by the objective lens (10× U PlanSApo, 0.40 N.A.; Olympus, Tokyo, Japan) with 10 mW. The SHG signal was isolated from the fundamental and any fluorescence by a band-pass filter (400/10 nm) and detected using a photomultiplier tube in the backscattered light path. Images were 800 × 800 pixels with 2 μs/pixel dwell time. Immunohistochemistry: The samples were dehydrated through a graded series of ethanol solutions before they were embedded in paraffin, which was cut parallel to the cross into five sections for Sirt1 immunohistochemistry. The slides were incubated with primary antibodies anti-Sirt1 (Abcam, Waltham, MA; 1:150). The two-step plus Poly-HRP Anti Rabbit/Mouse IgG Detection System (Elabscience, Houston, TX) was used to detect immunoreactivity. The slides were counterstained with Mayer's haematoxylin (Hongqiaolexiang Inc., Shanghai, China) and cover-slipped using a permanent mounting medium. Statistical analysis: The statistical analysis was carried out by a two-tailed pair Student's t-test using GraphPad Prism 8.0 (GraphPad Software, La Jolla, CA). p Value <0.05 was considered statistically significant. Results: Sirt1 was decreased in oxidative stress The concentration of H2O2 was optimized to induce oxidative stress, which was confirmed by the accumulation of ROS within the cells and cellular proliferation. After the treatment with H2O2 (0.2 mM), positive staining for ROS was located within the nuclei and cytoplasm of the cells (green). The ROS fluorescence intensity in the H2O2 (0.2 mM) group was stronger than the other groups (Figure 1(A,D)). Meanwhile, the fluorescence intensity of Sirt1 decreased in the H2O2 pre-treated group, which was localized within the nuclei and cytoplasm of the cells (Figure 1(A,G)). The effect of H2O2 on cell morphology, ROS production, F-actin and Sirt1 protein in hDPSCs. (A) The morphology of hDPSCs treated with H2O2 detected by immunofluorescence, cell panels: (1) under bright field, (2) ROS, (3) F-actin, (4) Sirt1 (scale bar: 100 μM); (B) cell proliferation of hDPSCs shown on day 1, 2 and 3 of treatment with H2O2; (C) MTT assay showing cell viability at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (D) ROS fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (E) fibre fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (F) fibre length at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (G) Sirt1 fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group; #p < 0.05, ##p < 0.01, ###p < 0.001 vs. H2O2-0.2 mM group). The concentration of H2O2 was optimized to induce oxidative stress, which was confirmed by the accumulation of ROS within the cells and cellular proliferation. After the treatment with H2O2 (0.2 mM), positive staining for ROS was located within the nuclei and cytoplasm of the cells (green). The ROS fluorescence intensity in the H2O2 (0.2 mM) group was stronger than the other groups (Figure 1(A,D)). Meanwhile, the fluorescence intensity of Sirt1 decreased in the H2O2 pre-treated group, which was localized within the nuclei and cytoplasm of the cells (Figure 1(A,G)). The effect of H2O2 on cell morphology, ROS production, F-actin and Sirt1 protein in hDPSCs. (A) The morphology of hDPSCs treated with H2O2 detected by immunofluorescence, cell panels: (1) under bright field, (2) ROS, (3) F-actin, (4) Sirt1 (scale bar: 100 μM); (B) cell proliferation of hDPSCs shown on day 1, 2 and 3 of treatment with H2O2; (C) MTT assay showing cell viability at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (D) ROS fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (E) fibre fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (F) fibre length at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (G) Sirt1 fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group; #p < 0.05, ##p < 0.01, ###p < 0.001 vs. H2O2-0.2 mM group). RSV decreased oxidative stress of hDPSCs To investigate the effect of RSV against oxidative stress, the concentration of RSV was optimized by cell viability assay. The cell viability increased significantly in the RSV10 group than NC and H-RSV 10 than H2O2 group and the IC50 of RSV in hDPSCs is 67.65 ± 9.86. There were significant differences between the H2O2 group and H-RSV 10 group, and RSV (10 μM) was determined for the following experiments (Figure 2(A)). The ROS activity was declined (Figure 2(B)), the SOD enzyme activities were increased (Figure 2(C)) and the GSH concentration displayed enhancement (Figure 2(D)) in the H-RSV group compared with the H2O2 group. Similarly, further data showed that SOD1 and xCT mRNA expression increased significantly in the H-RSV group compared with the H2O2 group (Figure 2(E,F)). RSV promoted the proliferation and reduced the oxidative stress of hDPSCs pre-treated with H2O2. (A) Cell proliferation of hDPSCs pre-treated with/without H2O2 and different concentrations of RSV. (B) The ROS activity of hDPSCs pre-treated with/without H2O2 and RSV. (C) The SOD enzyme activity of hDPSCs pre-treated with/without H2O2 and RSV. (D) The GSH concentration of hDPSCs pre-treated with/without H2O2 and RSV. (E) The fold expression of SOD1 mRNA in hDPSCs. (F) The fold expression of xCT mRNA in hDPSCs. Group: NC (untreated cells), RSV (hDPSCs cultured with 10 μM RSV for 24 hours), H2O2 (hDPSCs treated by 0.2 mM H2O2 for 24 hours) and H-RSV (hDPSCs treated by 0.2 mM H2O2 cultured for 24 hours and then 10 μM RSV cultured for 24 hours) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group). To investigate the effect of RSV against oxidative stress, the concentration of RSV was optimized by cell viability assay. The cell viability increased significantly in the RSV10 group than NC and H-RSV 10 than H2O2 group and the IC50 of RSV in hDPSCs is 67.65 ± 9.86. There were significant differences between the H2O2 group and H-RSV 10 group, and RSV (10 μM) was determined for the following experiments (Figure 2(A)). The ROS activity was declined (Figure 2(B)), the SOD enzyme activities were increased (Figure 2(C)) and the GSH concentration displayed enhancement (Figure 2(D)) in the H-RSV group compared with the H2O2 group. Similarly, further data showed that SOD1 and xCT mRNA expression increased significantly in the H-RSV group compared with the H2O2 group (Figure 2(E,F)). RSV promoted the proliferation and reduced the oxidative stress of hDPSCs pre-treated with H2O2. (A) Cell proliferation of hDPSCs pre-treated with/without H2O2 and different concentrations of RSV. (B) The ROS activity of hDPSCs pre-treated with/without H2O2 and RSV. (C) The SOD enzyme activity of hDPSCs pre-treated with/without H2O2 and RSV. (D) The GSH concentration of hDPSCs pre-treated with/without H2O2 and RSV. (E) The fold expression of SOD1 mRNA in hDPSCs. (F) The fold expression of xCT mRNA in hDPSCs. Group: NC (untreated cells), RSV (hDPSCs cultured with 10 μM RSV for 24 hours), H2O2 (hDPSCs treated by 0.2 mM H2O2 for 24 hours) and H-RSV (hDPSCs treated by 0.2 mM H2O2 cultured for 24 hours and then 10 μM RSV cultured for 24 hours) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group). RSV promotes the expression of osteogenic genes The mRNA expression of Runx2, OCN, Sirt1 and Nrf2 increased significantly in the H-RSV group compared with the H2O2 group (Figures 3(A,B) and 4(A,B)). Moreover, The ALP staining was significantly stronger by RSV with/without pre-treated with H2O2 (Figure 3(C)). Immunofluorescent staining and ICW showed that Sirt1 fluorescence intensity increased significantly by RSV compared with/without pre-treated with H2O2 (p < 0.05) (Figure 4(C–E)). RSV promoted the osteogenic differentiation of hDPSCs after the treatment of H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) The ALP staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group). RSV increased the Sirt1 and Nrf2 mRNA expression in hDPSCs by pre-treated with H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) Fluorescence intensity of In-Cell Western assay (ZEISS microscope AX-10). (D) The sirt1 fluorescence of hDPSCs pre-treated with/without H2O2 and RSV by In-cell western. (E) Sirt1 immunofluorescence staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group). The mRNA expression of Runx2, OCN, Sirt1 and Nrf2 increased significantly in the H-RSV group compared with the H2O2 group (Figures 3(A,B) and 4(A,B)). Moreover, The ALP staining was significantly stronger by RSV with/without pre-treated with H2O2 (Figure 3(C)). Immunofluorescent staining and ICW showed that Sirt1 fluorescence intensity increased significantly by RSV compared with/without pre-treated with H2O2 (p < 0.05) (Figure 4(C–E)). RSV promoted the osteogenic differentiation of hDPSCs after the treatment of H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) The ALP staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group). RSV increased the Sirt1 and Nrf2 mRNA expression in hDPSCs by pre-treated with H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) Fluorescence intensity of In-Cell Western assay (ZEISS microscope AX-10). (D) The sirt1 fluorescence of hDPSCs pre-treated with/without H2O2 and RSV by In-cell western. (E) Sirt1 immunofluorescence staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group). RSV promotes bone mass in mice The area of the bone defect is significantly reduced in the 1-month-old + RSV group than the 1-month-old group, similarly in the 12-month-old + RSV group than the 12-month-old group. The intensity of collagen (green fluorescence) was stronger in the 12-month-old + RSV group than the 12-month-old group and stronger in the 1-month-old + RSV group than the 1-month-old group. The expression of Sirt1 was higher in the 12-month-old + RSV than the 12-month-old group (Figure 5). RSV promotes bone repair and increases bone mass. (A) Representative micro-CT images of bone repair and bone mass in calvarial defects. (B) Representative nonlinear optical microscope images of collagen in calvarial defects. (C) Immunohistochemical staining with sirt1 in hDPSCs pre-treated with/without H2O2 and RSV. The area of the bone defect is significantly reduced in the 1-month-old + RSV group than the 1-month-old group, similarly in the 12-month-old + RSV group than the 12-month-old group. The intensity of collagen (green fluorescence) was stronger in the 12-month-old + RSV group than the 12-month-old group and stronger in the 1-month-old + RSV group than the 1-month-old group. The expression of Sirt1 was higher in the 12-month-old + RSV than the 12-month-old group (Figure 5). RSV promotes bone repair and increases bone mass. (A) Representative micro-CT images of bone repair and bone mass in calvarial defects. (B) Representative nonlinear optical microscope images of collagen in calvarial defects. (C) Immunohistochemical staining with sirt1 in hDPSCs pre-treated with/without H2O2 and RSV. Sirt1 was decreased in oxidative stress: The concentration of H2O2 was optimized to induce oxidative stress, which was confirmed by the accumulation of ROS within the cells and cellular proliferation. After the treatment with H2O2 (0.2 mM), positive staining for ROS was located within the nuclei and cytoplasm of the cells (green). The ROS fluorescence intensity in the H2O2 (0.2 mM) group was stronger than the other groups (Figure 1(A,D)). Meanwhile, the fluorescence intensity of Sirt1 decreased in the H2O2 pre-treated group, which was localized within the nuclei and cytoplasm of the cells (Figure 1(A,G)). The effect of H2O2 on cell morphology, ROS production, F-actin and Sirt1 protein in hDPSCs. (A) The morphology of hDPSCs treated with H2O2 detected by immunofluorescence, cell panels: (1) under bright field, (2) ROS, (3) F-actin, (4) Sirt1 (scale bar: 100 μM); (B) cell proliferation of hDPSCs shown on day 1, 2 and 3 of treatment with H2O2; (C) MTT assay showing cell viability at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (D) ROS fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (E) fibre fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (F) fibre length at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM); (G) Sirt1 fluorescence intensity at different concentrations of H2O2 (0.1, 0.2 and 0.3 mM) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group; #p < 0.05, ##p < 0.01, ###p < 0.001 vs. H2O2-0.2 mM group). RSV decreased oxidative stress of hDPSCs: To investigate the effect of RSV against oxidative stress, the concentration of RSV was optimized by cell viability assay. The cell viability increased significantly in the RSV10 group than NC and H-RSV 10 than H2O2 group and the IC50 of RSV in hDPSCs is 67.65 ± 9.86. There were significant differences between the H2O2 group and H-RSV 10 group, and RSV (10 μM) was determined for the following experiments (Figure 2(A)). The ROS activity was declined (Figure 2(B)), the SOD enzyme activities were increased (Figure 2(C)) and the GSH concentration displayed enhancement (Figure 2(D)) in the H-RSV group compared with the H2O2 group. Similarly, further data showed that SOD1 and xCT mRNA expression increased significantly in the H-RSV group compared with the H2O2 group (Figure 2(E,F)). RSV promoted the proliferation and reduced the oxidative stress of hDPSCs pre-treated with H2O2. (A) Cell proliferation of hDPSCs pre-treated with/without H2O2 and different concentrations of RSV. (B) The ROS activity of hDPSCs pre-treated with/without H2O2 and RSV. (C) The SOD enzyme activity of hDPSCs pre-treated with/without H2O2 and RSV. (D) The GSH concentration of hDPSCs pre-treated with/without H2O2 and RSV. (E) The fold expression of SOD1 mRNA in hDPSCs. (F) The fold expression of xCT mRNA in hDPSCs. Group: NC (untreated cells), RSV (hDPSCs cultured with 10 μM RSV for 24 hours), H2O2 (hDPSCs treated by 0.2 mM H2O2 for 24 hours) and H-RSV (hDPSCs treated by 0.2 mM H2O2 cultured for 24 hours and then 10 μM RSV cultured for 24 hours) (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group). RSV promotes the expression of osteogenic genes: The mRNA expression of Runx2, OCN, Sirt1 and Nrf2 increased significantly in the H-RSV group compared with the H2O2 group (Figures 3(A,B) and 4(A,B)). Moreover, The ALP staining was significantly stronger by RSV with/without pre-treated with H2O2 (Figure 3(C)). Immunofluorescent staining and ICW showed that Sirt1 fluorescence intensity increased significantly by RSV compared with/without pre-treated with H2O2 (p < 0.05) (Figure 4(C–E)). RSV promoted the osteogenic differentiation of hDPSCs after the treatment of H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) The ALP staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group). RSV increased the Sirt1 and Nrf2 mRNA expression in hDPSCs by pre-treated with H2O2. (A) The fold expression of Runx2 mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (B) The fold expression of OCN mRNA of hDPSCs pre-treated with/without H2O2 and RSV. (C) Fluorescence intensity of In-Cell Western assay (ZEISS microscope AX-10). (D) The sirt1 fluorescence of hDPSCs pre-treated with/without H2O2 and RSV by In-cell western. (E) Sirt1 immunofluorescence staining of hDPSCs pre-treated with/without H2O2 and RSV (*p < 0.05, **p < 0.01, ***p < 0.001 vs. NC group). RSV promotes bone mass in mice: The area of the bone defect is significantly reduced in the 1-month-old + RSV group than the 1-month-old group, similarly in the 12-month-old + RSV group than the 12-month-old group. The intensity of collagen (green fluorescence) was stronger in the 12-month-old + RSV group than the 12-month-old group and stronger in the 1-month-old + RSV group than the 1-month-old group. The expression of Sirt1 was higher in the 12-month-old + RSV than the 12-month-old group (Figure 5). RSV promotes bone repair and increases bone mass. (A) Representative micro-CT images of bone repair and bone mass in calvarial defects. (B) Representative nonlinear optical microscope images of collagen in calvarial defects. (C) Immunohistochemical staining with sirt1 in hDPSCs pre-treated with/without H2O2 and RSV. Discussion: Our present studies showed that hDPSCs pre-treated with H2O2 significantly reduced proliferation activity and increased oxidative stress. This finding was consistent with H2O2 induced oxidative stress in MC3T3-E1 cells (Choi et al. 2018). Previous studies also demonstrated that MSCs, when subjected to oxidative stress, significantly reduced proliferation activity (Mahmoudinia et al. 2019). The antioxidant activities of RSV were confirmed through the SOD enzyme activity and GSH concentration assay both to the normal cells and the oxidative-stressed cells, as well as the mRNA expressions of SOD1 and xCT, which represent the redox state of the cells. Furthermore, the up-regulated mRNA expression of RUNX2 and OCN, and the stronger ALP staining in hDPSCs treated by RSV with or without H2O2 pre-treatment, suggest that the RSV promoted osteogenesis of hDPSCs. In vivo, the collagen and bone matrix of the mouse calvarial defect area was significantly increased after RSV treatment, indicating that RSV could promote bone formation in young and ageing mice. This result is consistent with the previous study about RSV preventing bone loss (Su et al. 2017). Our results showed that the mRNA and protein expression of Sirt1 decreased in oxidative stress. However, these were increased by the treatment of RSV both in vitro and in vivo. Other studies also found that RSV could increase bone density via activating Sirt1 in mice (Liu et al. 2012). Besides, the Nrf2 mRNA expression was also enhanced by the treatment of RSV. Recent studies confirmed that Sirt1 regulates Nrf2 activation in the process of oxidative stress (Shah et al. 2017). Studies have confirmed that Nrf2 is a downstream target gene of Sirt1 (Wang et al. 2020). Taken together, these findings suggested that RSV could enhance osteogenesis via the Sirt1–Nrf2 pathway, indicating its therapeutic implication in anti-oxidative stress or other bone-related diseases. Conclusions: These findings shed light on the potential applications of RSV in stem cells-based therapy, with a higher proliferation rate and greater osteogenic potential of hDPSCs in regenerative medicine. Moreover, RSV might have the effect of promoting bone formation for the elderly or patients with oxidative stress physiological states such as hypertension, heart disease, diabetes, etc., as a potential agent.
Background: The osteogenic potential of the human dental pulp stromal cells (hDPSCs) was reduced in the state of oxidative stress. Resveratrol (RSV) possesses numerous biological properties, including osteogenic potential, growth-promoting and antioxidant activities. Methods: The hDPSCs were subjected to reactive oxygen species (ROS) fluorescence staining, cell proliferation assay, ROS activity assay, superoxide dismutase (SOD) enzyme activity, the glutathione (GSH) concentration assay, alkaline phosphatase staining, real-time polymerase chain reaction (RT-PCR) and Sirt1 immunofluorescence labelling to assess the antioxidant stress and osteogenic ability of RSV. Forty female Kunming mice were divided into Old, Old-RSV, Young and Young-RSV groups to assess the repair of calvarial defects of 0.2 mL RSV of 20 mg/kg/d for seven days by injecting intraperitoneally at 4 weeks after surgery using micro-computed tomography, nonlinear optical microscope and immunohistochemical analysis. Results: RSV abates oxidative stress by alleviating the proliferation, mitigating the ROS activity, increasing the SOD enzyme activity and ameliorating the GSH concentration (RSV IC50 in hDPSCs is 67.65 ± 9.86). The antioxidative stress and osteogenic capabilities of RSV were confirmed by the up-regulated gene expression of SOD1, xCT, RUNX2 and OCN, as well as Sirt1/Nrf2. The collagen, bone matrix formation and Sirt1 expression, are significantly increased after RSV treatment in mice. Conclusions: For elderly or patients with oxidative stress physiological states such as hypertension, heart disease, diabetes, etc., RSV may potentially improve bone augmentation surgery in regenerative medicine.
Introduction: Cell therapy has gained significant attention as a novel therapeutic approach to restore/repair tissue/organ functionality after injury (Marvasti et al. 2019). Cellular component represents the key factor in cell-based therapy, particularly in using mesenchymal stromal cells (MSCs), which is considered the gold standard for clinical research (Berebichez-Fridman and Montero-Olvera 2018). Although MSCs can hypothetically be obtained from different and accessible adult tissues, there are practical limitations concerning the invasive procedure, low procurement yield, donor site morbidity, extensive in vitro expansion and various donor characteristics (Berebichez-Fridman and Montero-Olvera 2018). A number of studies showed that the human dental pulp stromal cells (hDPSCs) are easily accessible via discarded medical waste (Gronthos et al. 2000) and have greater proliferative and osteogenic potential than the MSCs derived from bone marrow, making them favourable as an alternative MSC source for cell-based therapies (El-Gendy et al. 2013; Jensen et al. 2016). Recent evidence indicated that stem cells might undergo progressive senescence or lose their regenerative capacity and experience gradual exhaustion of their characteristic proliferative function. Oxidative stress refers to a functional inability of the reactive oxygen species (ROS) in performing the detoxification of metabolic reactive intermediates of biological systems (Forrester et al. 2018). Three important categories of ROS, hydrogen peroxide (H2O2), hydroxyl radicals (•OH) and superoxide anion (O2−), generated through different signalling pathways are reported to be beneficial for cellular processes such as cellular proliferation and differentiation (Guan et al. 2019; Li et al. 2019). Several studies have demonstrated that persistent intracellular accumulation of H2O2 and exogenous exposure to H2O2 could induce cellular senescence (Song et al. 2014; Zhu et al. 2015; Gao et al. 2017). Therefore, it is necessary to explore the osteogenic potential of hDPSCs in oxidative stress. Resveratrol (RSV; trans-3,5,4′-trihydroxystilbene), a naturally occurring nonflavonoid polyphenolic compound, richly presents in many fruits and vegetables, such as peanuts, mulberries and grapes (Gambini et al. 2013; Rauf et al. 2017). It has been reported that RSV can control the differentiation of lineage-specific neural stem cells and mediate the biological functions of terminally differentiated cells (Hu et al. 2014). Besides, RSV is also known as the Sirt1 activator (Wood et al. 2004) and has attained wide usage in dietary supplementation and traditional medicine (Biswas et al. 2020; Wu et al. 2020). Studies have shown that RSV exerts substantial antioxidant effects through scavenging excessive free radicals and enhancing the biosynthesis of intracellular antioxidant enzymes (Shakibaei et al. 2012; Kulkarni and Canto 2015; Sadi et al. 2018). Besides, RSV may prevent metabolic diseases through the activation of Sirt1, which further deacetylate the mitochondrial co-enzyme PGC-1α and improve mitochondrial functions (Lagouge et al. 2006). The mechanism of RSV regulating osteogenic potential in hDPSCs in oxidative stress needs further exploration. Therefore, we hypothesize that RSV could promote the osteogenesis of hDPSCs in oxidative stress via activating the Sirt1–Nrf2 pathway. Conclusions: These findings shed light on the potential applications of RSV in stem cells-based therapy, with a higher proliferation rate and greater osteogenic potential of hDPSCs in regenerative medicine. Moreover, RSV might have the effect of promoting bone formation for the elderly or patients with oxidative stress physiological states such as hypertension, heart disease, diabetes, etc., as a potential agent.
Background: The osteogenic potential of the human dental pulp stromal cells (hDPSCs) was reduced in the state of oxidative stress. Resveratrol (RSV) possesses numerous biological properties, including osteogenic potential, growth-promoting and antioxidant activities. Methods: The hDPSCs were subjected to reactive oxygen species (ROS) fluorescence staining, cell proliferation assay, ROS activity assay, superoxide dismutase (SOD) enzyme activity, the glutathione (GSH) concentration assay, alkaline phosphatase staining, real-time polymerase chain reaction (RT-PCR) and Sirt1 immunofluorescence labelling to assess the antioxidant stress and osteogenic ability of RSV. Forty female Kunming mice were divided into Old, Old-RSV, Young and Young-RSV groups to assess the repair of calvarial defects of 0.2 mL RSV of 20 mg/kg/d for seven days by injecting intraperitoneally at 4 weeks after surgery using micro-computed tomography, nonlinear optical microscope and immunohistochemical analysis. Results: RSV abates oxidative stress by alleviating the proliferation, mitigating the ROS activity, increasing the SOD enzyme activity and ameliorating the GSH concentration (RSV IC50 in hDPSCs is 67.65 ± 9.86). The antioxidative stress and osteogenic capabilities of RSV were confirmed by the up-regulated gene expression of SOD1, xCT, RUNX2 and OCN, as well as Sirt1/Nrf2. The collagen, bone matrix formation and Sirt1 expression, are significantly increased after RSV treatment in mice. Conclusions: For elderly or patients with oxidative stress physiological states such as hypertension, heart disease, diabetes, etc., RSV may potentially improve bone augmentation surgery in regenerative medicine.
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[ 174, 158, 134, 135, 133, 173, 155, 202, 89, 242, 253, 226, 193, 151, 106, 40, 372, 377, 346, 196 ]
25
[ "rsv", "h2o2", "hdpscs", "cells", "group", "treated", "10", "old", "sirt1", "pre" ]
[ "cells cultured osteogenic", "cells mscs considered", "stromal cells hdpscs", "restore repair tissue", "dental pulp stromal" ]
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[CONTENT] Dental pulp stromal cell | ROS | SOD | RUNX1 | OCN | xCT | skull defect [SUMMARY]
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[CONTENT] Dental pulp stromal cell | ROS | SOD | RUNX1 | OCN | xCT | skull defect [SUMMARY]
[CONTENT] Dental pulp stromal cell | ROS | SOD | RUNX1 | OCN | xCT | skull defect [SUMMARY]
[CONTENT] Dental pulp stromal cell | ROS | SOD | RUNX1 | OCN | xCT | skull defect [SUMMARY]
[CONTENT] Dental pulp stromal cell | ROS | SOD | RUNX1 | OCN | xCT | skull defect [SUMMARY]
[CONTENT] Age Factors | Animals | Animals, Outbred Strains | Cell Proliferation | Cells, Cultured | Dental Pulp | Female | Humans | Mice | NF-E2-Related Factor 2 | Osteogenesis | Oxidative Stress | Reactive Oxygen Species | Resveratrol | Sirtuin 1 | Stromal Cells | Superoxide Dismutase [SUMMARY]
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[CONTENT] Age Factors | Animals | Animals, Outbred Strains | Cell Proliferation | Cells, Cultured | Dental Pulp | Female | Humans | Mice | NF-E2-Related Factor 2 | Osteogenesis | Oxidative Stress | Reactive Oxygen Species | Resveratrol | Sirtuin 1 | Stromal Cells | Superoxide Dismutase [SUMMARY]
[CONTENT] Age Factors | Animals | Animals, Outbred Strains | Cell Proliferation | Cells, Cultured | Dental Pulp | Female | Humans | Mice | NF-E2-Related Factor 2 | Osteogenesis | Oxidative Stress | Reactive Oxygen Species | Resveratrol | Sirtuin 1 | Stromal Cells | Superoxide Dismutase [SUMMARY]
[CONTENT] Age Factors | Animals | Animals, Outbred Strains | Cell Proliferation | Cells, Cultured | Dental Pulp | Female | Humans | Mice | NF-E2-Related Factor 2 | Osteogenesis | Oxidative Stress | Reactive Oxygen Species | Resveratrol | Sirtuin 1 | Stromal Cells | Superoxide Dismutase [SUMMARY]
[CONTENT] Age Factors | Animals | Animals, Outbred Strains | Cell Proliferation | Cells, Cultured | Dental Pulp | Female | Humans | Mice | NF-E2-Related Factor 2 | Osteogenesis | Oxidative Stress | Reactive Oxygen Species | Resveratrol | Sirtuin 1 | Stromal Cells | Superoxide Dismutase [SUMMARY]
[CONTENT] cells cultured osteogenic | cells mscs considered | stromal cells hdpscs | restore repair tissue | dental pulp stromal [SUMMARY]
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[CONTENT] cells cultured osteogenic | cells mscs considered | stromal cells hdpscs | restore repair tissue | dental pulp stromal [SUMMARY]
[CONTENT] cells cultured osteogenic | cells mscs considered | stromal cells hdpscs | restore repair tissue | dental pulp stromal [SUMMARY]
[CONTENT] cells cultured osteogenic | cells mscs considered | stromal cells hdpscs | restore repair tissue | dental pulp stromal [SUMMARY]
[CONTENT] cells cultured osteogenic | cells mscs considered | stromal cells hdpscs | restore repair tissue | dental pulp stromal [SUMMARY]
[CONTENT] rsv | h2o2 | hdpscs | cells | group | treated | 10 | old | sirt1 | pre [SUMMARY]
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[CONTENT] rsv | h2o2 | hdpscs | cells | group | treated | 10 | old | sirt1 | pre [SUMMARY]
[CONTENT] rsv | h2o2 | hdpscs | cells | group | treated | 10 | old | sirt1 | pre [SUMMARY]
[CONTENT] rsv | h2o2 | hdpscs | cells | group | treated | 10 | old | sirt1 | pre [SUMMARY]
[CONTENT] rsv | h2o2 | hdpscs | cells | group | treated | 10 | old | sirt1 | pre [SUMMARY]
[CONTENT] rsv | 2018 | cellular | hdpscs oxidative | hdpscs oxidative stress | mscs | osteogenic potential | potential | oxidative stress | oxidative [SUMMARY]
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[CONTENT] h2o2 | rsv | group | hdpscs | pre treated h2o2 | pre | treated h2o2 | pre treated | treated | hdpscs pre treated h2o2 [SUMMARY]
[CONTENT] potential | rsv | higher proliferation rate greater | elderly patients oxidative | elderly patients oxidative stress | hypertension heart disease diabetes | hypertension heart disease | diabetes etc potential agent | diabetes etc potential | diabetes etc [SUMMARY]
[CONTENT] rsv | h2o2 | cells | hdpscs | group | old | treated | 10 | mm | min [SUMMARY]
[CONTENT] rsv | h2o2 | cells | hdpscs | group | old | treated | 10 | mm | min [SUMMARY]
[CONTENT] ||| RSV [SUMMARY]
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[CONTENT] RSV | ROS | SOD | GSH | RSV | 67.65 | 9.86 ||| RSV | SOD1 | xCT | RUNX2 | OCN | Sirt1/Nrf2 ||| RSV [SUMMARY]
[CONTENT] RSV [SUMMARY]
[CONTENT] ||| RSV ||| ROS | ROS | SOD | RT-PCR | RSV ||| Forty | Kunming | Old | Young | 0.2 | RSV | 20 mg/kg | seven days | 4 weeks ||| RSV | ROS | SOD | GSH | RSV | 67.65 | 9.86 ||| RSV | SOD1 | xCT | RUNX2 | OCN | Sirt1/Nrf2 ||| RSV ||| RSV [SUMMARY]
[CONTENT] ||| RSV ||| ROS | ROS | SOD | RT-PCR | RSV ||| Forty | Kunming | Old | Young | 0.2 | RSV | 20 mg/kg | seven days | 4 weeks ||| RSV | ROS | SOD | GSH | RSV | 67.65 | 9.86 ||| RSV | SOD1 | xCT | RUNX2 | OCN | Sirt1/Nrf2 ||| RSV ||| RSV [SUMMARY]
Maternal fish consumption, mercury levels, and risk of preterm delivery.
17366817
Pregnant women receive mixed messages about fish consumption in pregnancy because unsaturated fatty acids and protein in fish are thought to be beneficial, but contaminants such as methylmercury may pose a hazard.
BACKGROUND
In the Pregnancy Outcomes and Community Health (POUCH) study, women were enrolled in the 15th to 27th week of pregnancy from 52 prenatal clinics in five Michigan communities. At enrollment, information was gathered on amount and category of fish consumed during the current pregnancy, and a hair sample was obtained. A segment of hair closest to the scalp, approximating exposure during pregnancy, was assessed for total mercury levels (70-90% methylmercury) in 1,024 POUCH cohort women.
METHODS
Mercury levels ranged from 0.01 to 2.50 pg/g (mean = 0.29 microg/g; median = 0.23 microg/g). Total fish consumption and consumption of canned fish, bought fish, and sport-caught fish were positively associated with mercury levels in hair. The greatest fish source for mercury exposure appeared to be canned fish. Compared with women delivering at term, women who delivered before 35 weeks' gestation were more likely to have hair mercury levels at or above the 90th percentile (> or = 0.55 microg/g), even after adjusting for maternal characteristics and fish consumption (adjusted odds ratio = 3.0; 95% confidence interval, 1.3-6.7).
RESULTS
This is the first large, community-based study to examine risk of very preterm birth in relation to mercury levels among women with low to moderate exposure. Additional studies are needed to see whether these findings will be replicated in other settings.
CONCLUSION
[ "Animals", "Environmental Monitoring", "Epidemiological Monitoring", "Female", "Fishes", "Food Contamination", "Food Preservation", "Hair", "Humans", "Maternal Exposure", "Mercury", "Michigan", "Pregnancy", "Premature Birth", "Water Pollutants, Chemical" ]
1797831
Maternal characteristics and fish consumption
Information on maternal characteristics including age, ethnicity, education, Medicaid insurance status, and smoking was collected through in-person interviews and self-administered questionnaires at enrollment. As part of the interview, women were asked “During this pregnancy how often have you eaten any of the following fish: shellfish, canned fish, other fish you purchased at a store or restaurant [referred to as bought fish], sport-caught fish in Michigan waters, and some other fish?” For each fish category, respondents were asked about their number of meals per day, week, month, or previous 6 months. Six months was used as an option for infrequent consumers of fish and was thought to capture the period from conception to study interview for most women in the study. The data were then scaled so that all fish consumption—fish categories and total—could be expressed as meals per 6 months, thereby describing levels of fish intake in approximately the first 6 months of pregnancy. Total fish consumption was calculated by summing consumption of all categories of fish and shellfish.
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Results
At the time of enrollment, 41% of women were < 25 years of age, 42% had ≤ 12 years of education, and 43% were insured by Medicaid, a health-related public assistance program (Table 1). The percentage of women from racial/ethnic backgrounds other than non-Hispanic white and African American was only 9%. The “other” ethnic groups were included with non-Hispanic whites in the final models. Alternative analyses excluding these other groups showed similar results to that of the more inclusive final models. In approximately the first 6 months of pregnancy, 11% of women in this sample did not eat any fish, 25% ate two fish meals or fewer, and only 50% ate more than nine fish meals. The mean level of total fish consumption was 19.6 meals/6 months, considerably higher than the median (50th percentile = 9.0 meals/6 months), suggesting a right skewing of the distribution (Table 2). Canned fish was the most frequently consumed fish category, with 25% of women eating ≥ 12 meals/6 months, followed by bought fish, with 25% eating ≥ 6 meals/6 months. Only 9.2% of women reported consumption of sport-caught fish during the first 6 months of pregnancy. Mercury levels in maternal hair ranged from 0.01 to 2.50 μg/g, with a mean of 0.29 μg/g and a median of 0.23 μg/g. Approximately 20% of women had levels > 0.38 μg/g (Table 3). Mercury levels were divided into quintiles and total fish consumption and consumption of each fish category were divided into four levels: 0 meals/6 months (reference group), 1–5 meals/6 months, 6–23 meals/6 months, and ≥ 24 meals/6 months. Women with higher levels of total fish consumption were more likely to have mercury levels in the upper quintiles (Table 3). The mean and median hair mercury levels for the 109 women who did not consume fish during this period in pregnancy were 0.15 μg/g and 0.13 μg/g, respectively. Interestingly, 10% of women who reported not eating fish during pregnancy had hair mercury levels in the 4th and 5th quintiles. In multicovariate analyses, higher mercury levels were significantly associated with older maternal age (≥ 25 years), white and “other” ethnicity, not being insured by Medicaid, and residing in communities 3, 4, and 5 (Figure 2), even after adjusting for total fish consumption. Maternal mercury levels were not significantly related to gestational week at enrollment or smoking before or during pregnancy. We reevaluated the association between total fish consumption and mercury levels in a model that included maternal covariates related to mercury levels in hair (Table 4). The adjusted mean mercury continued to be significantly higher in women who consumed fish compared with that in women who did not consume fish in the first 6 months of pregnancy, and mean mercury levels increased as levels of fish consumption increased. In another model that included consumption of each fish category along with the other maternal covariates related to mercury levels in this sample, consumption of canned fish, bought fish, and sport-caught fish were each positively associated with mercury levels in maternal hair. Adjustment for gestational week at enrollment did not appreciably alter these associations. In the final analyses, we assessed maternal mercury levels at mid-pregnancy in relation to gestational week at delivery. Women who delivered very preterm (< 35 weeks) were more likely to have had hair mercury levels at or above the 90th percentile (0.55–2.5 μg/g) than were women who delivered at term (≥ 37 weeks), even after adjusting for maternal characteristics and total fish consumption [odds ratio (OR) = 3.0; 95% confidence interval (CI), 1.3–6.7] (Table 5). These results remained relatively unchanged in models that adjusted for gestational week at enrollment and fish categories. The association between maternal mercury levels and very preterm delivery was not evident at lower threshold levels of mercury (i.e., quintile cut-points), and mercury levels were not associated with delivery of a moderately preterm infant (35–36 weeks).
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[ "Population", "Gestational age", "Mercury levels in hair", "Analytic strategy" ]
[ "The POUCH Study recruited women from 52 participating prenatal clinics located in five Michigan communities, each of which include urban, suburban, and rural areas (Holzman et al. 2001) (Figure 1). Women were enrolled in the 15th to 27th week of pregnancy, with approximately 70% before the 24th week. Eligibility criteria included screening for maternal serum alpha-fetoprotein (MSAFP) levels between 15 and 22 weeks of pregnancy, > 14 years of age, competency in English, singleton pregnancy with no known congenital or chromosomal anomalies at the time of recruitment, and no prepregnancy diabetes mellitus. A total of 1,226 women were enrolled in the POUCH cohort during the first part of the study (8 September 1998 through 31 July 2001). All were included in these analyses, except for five because of loss to follow-up and an additional 197 because hair samples were not available (69 declined hair sampling and 129 had hair that was < 7.6 cm long or in a woven hairstyle). Mid-pregnancy hair mercury levels were assessed in the remaining 1,024 cohort women. The study protocol was approved by human subjects review boards at participating institutions. Before enrollment, all participants provided written consent.\nDue to Health Insurance Portability and Accountability Act (HIPAA) regulations, it was not possible to determine an exact response rate or compare characteristics of participants with those of women who declined enrollment in the POUCH study. However, we were able to compare POUCH study data with data recorded on birth certificates of women who delivered in the five study communities in 2000. Ethnic-specific analyses (white non-Hispanic, African American), weighted by the proportion of women enrolled from each community, showed that the POUCH sample was very similar to community mothers on most factors measured—age, parity, education levels, and the proportions of women with Medicaid insurance, preterm delivery, previous stillbirth, previous preterm infant, and previous low birth weight infant. The one exception was the percentage of African Americans > 30 years of age, which was lower in POUCH (14%) than in community birth certificates (21%).", "Gestational age at delivery was determined by date of first day of the last menstrual period (LMP), or a gestational age estimate from an early ultrasound (≤ 25 weeks), the latter used when the two estimates disagreed by > 2 weeks. Early ultrasound data were available for 93% of women.", "At enrollment, approximately ≥ 100 strands of hair were cut close to the scalp from the posterior vertex region of women with hair at least 7.6 cm in length. A segment of hair closest to the scalp, approximating exposure during pregnancy, was assessed for total mercury levels. The length of segment used varied by gestational week at enrollment, assuming average hair growth of approximately 1.3 cm per month (Saitoh et al. 1967). Before analysis, hair was washed with acetone and water to remove mercury deposited from external sources. Cold vapor atomic absorption spectrometry (CVAAS; model M6000; Cetac Technology, Omaha, NE) was used to quantify total mercury levels in hair. It is estimated that around 70–90% of mercury in hair is methylmercury (Chen et al. 2002). Because of this and other factors, researchers consider total mercury levels in hair to be a useful biomarker of exposure to methylmercury (Berglund et al. 2005; Chen et al. 2002).", "We used generalized linear models (GLM) to assess the relationships between mercury levels in hair, maternal characteristics, and fish consumption. We used multicovariate logistic regression to evaluate the association between maternal mercury levels and risk of preterm delivery (< 37 weeks’ gestation), moderate preterm delivery (35–36 weeks’ gestation), and very preterm delivery (< 35 weeks’ gestation). Threshold levels for mercury effects were tested at quintile cutoffs and at the 90th percentile. To meet the underlying assumptions of the GLM, mercury levels were transformed to natural log scale (micrograms per gram) for analyses and then transformed back to mercury levels (micrograms per gram) for display in tables. All analyses were conducted using SAS 9.0 software (SAS Institute Inc., Cary, NC). On examining self-reports of total fish consumption, we found three women who had consumed > 300 fish meals in the 6 months corresponding to the first half of pregnancy. These outliers could not be verified and were removed from the analyses." ]
[ null, null, null, null ]
[ "Materials and Methods", "Population", "Gestational age", "Maternal characteristics and fish consumption", "Mercury levels in hair", "Analytic strategy", "Results", "Discussion" ]
[ " Population The POUCH Study recruited women from 52 participating prenatal clinics located in five Michigan communities, each of which include urban, suburban, and rural areas (Holzman et al. 2001) (Figure 1). Women were enrolled in the 15th to 27th week of pregnancy, with approximately 70% before the 24th week. Eligibility criteria included screening for maternal serum alpha-fetoprotein (MSAFP) levels between 15 and 22 weeks of pregnancy, > 14 years of age, competency in English, singleton pregnancy with no known congenital or chromosomal anomalies at the time of recruitment, and no prepregnancy diabetes mellitus. A total of 1,226 women were enrolled in the POUCH cohort during the first part of the study (8 September 1998 through 31 July 2001). All were included in these analyses, except for five because of loss to follow-up and an additional 197 because hair samples were not available (69 declined hair sampling and 129 had hair that was < 7.6 cm long or in a woven hairstyle). Mid-pregnancy hair mercury levels were assessed in the remaining 1,024 cohort women. The study protocol was approved by human subjects review boards at participating institutions. Before enrollment, all participants provided written consent.\nDue to Health Insurance Portability and Accountability Act (HIPAA) regulations, it was not possible to determine an exact response rate or compare characteristics of participants with those of women who declined enrollment in the POUCH study. However, we were able to compare POUCH study data with data recorded on birth certificates of women who delivered in the five study communities in 2000. Ethnic-specific analyses (white non-Hispanic, African American), weighted by the proportion of women enrolled from each community, showed that the POUCH sample was very similar to community mothers on most factors measured—age, parity, education levels, and the proportions of women with Medicaid insurance, preterm delivery, previous stillbirth, previous preterm infant, and previous low birth weight infant. The one exception was the percentage of African Americans > 30 years of age, which was lower in POUCH (14%) than in community birth certificates (21%).\nThe POUCH Study recruited women from 52 participating prenatal clinics located in five Michigan communities, each of which include urban, suburban, and rural areas (Holzman et al. 2001) (Figure 1). Women were enrolled in the 15th to 27th week of pregnancy, with approximately 70% before the 24th week. Eligibility criteria included screening for maternal serum alpha-fetoprotein (MSAFP) levels between 15 and 22 weeks of pregnancy, > 14 years of age, competency in English, singleton pregnancy with no known congenital or chromosomal anomalies at the time of recruitment, and no prepregnancy diabetes mellitus. A total of 1,226 women were enrolled in the POUCH cohort during the first part of the study (8 September 1998 through 31 July 2001). All were included in these analyses, except for five because of loss to follow-up and an additional 197 because hair samples were not available (69 declined hair sampling and 129 had hair that was < 7.6 cm long or in a woven hairstyle). Mid-pregnancy hair mercury levels were assessed in the remaining 1,024 cohort women. The study protocol was approved by human subjects review boards at participating institutions. Before enrollment, all participants provided written consent.\nDue to Health Insurance Portability and Accountability Act (HIPAA) regulations, it was not possible to determine an exact response rate or compare characteristics of participants with those of women who declined enrollment in the POUCH study. However, we were able to compare POUCH study data with data recorded on birth certificates of women who delivered in the five study communities in 2000. Ethnic-specific analyses (white non-Hispanic, African American), weighted by the proportion of women enrolled from each community, showed that the POUCH sample was very similar to community mothers on most factors measured—age, parity, education levels, and the proportions of women with Medicaid insurance, preterm delivery, previous stillbirth, previous preterm infant, and previous low birth weight infant. The one exception was the percentage of African Americans > 30 years of age, which was lower in POUCH (14%) than in community birth certificates (21%).\n Gestational age Gestational age at delivery was determined by date of first day of the last menstrual period (LMP), or a gestational age estimate from an early ultrasound (≤ 25 weeks), the latter used when the two estimates disagreed by > 2 weeks. Early ultrasound data were available for 93% of women.\nGestational age at delivery was determined by date of first day of the last menstrual period (LMP), or a gestational age estimate from an early ultrasound (≤ 25 weeks), the latter used when the two estimates disagreed by > 2 weeks. Early ultrasound data were available for 93% of women.\n Maternal characteristics and fish consumption Information on maternal characteristics including age, ethnicity, education, Medicaid insurance status, and smoking was collected through in-person interviews and self-administered questionnaires at enrollment. As part of the interview, women were asked “During this pregnancy how often have you eaten any of the following fish: shellfish, canned fish, other fish you purchased at a store or restaurant [referred to as bought fish], sport-caught fish in Michigan waters, and some other fish?” For each fish category, respondents were asked about their number of meals per day, week, month, or previous 6 months. Six months was used as an option for infrequent consumers of fish and was thought to capture the period from conception to study interview for most women in the study. The data were then scaled so that all fish consumption—fish categories and total—could be expressed as meals per 6 months, thereby describing levels of fish intake in approximately the first 6 months of pregnancy. Total fish consumption was calculated by summing consumption of all categories of fish and shellfish.\nInformation on maternal characteristics including age, ethnicity, education, Medicaid insurance status, and smoking was collected through in-person interviews and self-administered questionnaires at enrollment. As part of the interview, women were asked “During this pregnancy how often have you eaten any of the following fish: shellfish, canned fish, other fish you purchased at a store or restaurant [referred to as bought fish], sport-caught fish in Michigan waters, and some other fish?” For each fish category, respondents were asked about their number of meals per day, week, month, or previous 6 months. Six months was used as an option for infrequent consumers of fish and was thought to capture the period from conception to study interview for most women in the study. The data were then scaled so that all fish consumption—fish categories and total—could be expressed as meals per 6 months, thereby describing levels of fish intake in approximately the first 6 months of pregnancy. Total fish consumption was calculated by summing consumption of all categories of fish and shellfish.\n Mercury levels in hair At enrollment, approximately ≥ 100 strands of hair were cut close to the scalp from the posterior vertex region of women with hair at least 7.6 cm in length. A segment of hair closest to the scalp, approximating exposure during pregnancy, was assessed for total mercury levels. The length of segment used varied by gestational week at enrollment, assuming average hair growth of approximately 1.3 cm per month (Saitoh et al. 1967). Before analysis, hair was washed with acetone and water to remove mercury deposited from external sources. Cold vapor atomic absorption spectrometry (CVAAS; model M6000; Cetac Technology, Omaha, NE) was used to quantify total mercury levels in hair. It is estimated that around 70–90% of mercury in hair is methylmercury (Chen et al. 2002). Because of this and other factors, researchers consider total mercury levels in hair to be a useful biomarker of exposure to methylmercury (Berglund et al. 2005; Chen et al. 2002).\nAt enrollment, approximately ≥ 100 strands of hair were cut close to the scalp from the posterior vertex region of women with hair at least 7.6 cm in length. A segment of hair closest to the scalp, approximating exposure during pregnancy, was assessed for total mercury levels. The length of segment used varied by gestational week at enrollment, assuming average hair growth of approximately 1.3 cm per month (Saitoh et al. 1967). Before analysis, hair was washed with acetone and water to remove mercury deposited from external sources. Cold vapor atomic absorption spectrometry (CVAAS; model M6000; Cetac Technology, Omaha, NE) was used to quantify total mercury levels in hair. It is estimated that around 70–90% of mercury in hair is methylmercury (Chen et al. 2002). Because of this and other factors, researchers consider total mercury levels in hair to be a useful biomarker of exposure to methylmercury (Berglund et al. 2005; Chen et al. 2002).\n Analytic strategy We used generalized linear models (GLM) to assess the relationships between mercury levels in hair, maternal characteristics, and fish consumption. We used multicovariate logistic regression to evaluate the association between maternal mercury levels and risk of preterm delivery (< 37 weeks’ gestation), moderate preterm delivery (35–36 weeks’ gestation), and very preterm delivery (< 35 weeks’ gestation). Threshold levels for mercury effects were tested at quintile cutoffs and at the 90th percentile. To meet the underlying assumptions of the GLM, mercury levels were transformed to natural log scale (micrograms per gram) for analyses and then transformed back to mercury levels (micrograms per gram) for display in tables. All analyses were conducted using SAS 9.0 software (SAS Institute Inc., Cary, NC). On examining self-reports of total fish consumption, we found three women who had consumed > 300 fish meals in the 6 months corresponding to the first half of pregnancy. These outliers could not be verified and were removed from the analyses.\nWe used generalized linear models (GLM) to assess the relationships between mercury levels in hair, maternal characteristics, and fish consumption. We used multicovariate logistic regression to evaluate the association between maternal mercury levels and risk of preterm delivery (< 37 weeks’ gestation), moderate preterm delivery (35–36 weeks’ gestation), and very preterm delivery (< 35 weeks’ gestation). Threshold levels for mercury effects were tested at quintile cutoffs and at the 90th percentile. To meet the underlying assumptions of the GLM, mercury levels were transformed to natural log scale (micrograms per gram) for analyses and then transformed back to mercury levels (micrograms per gram) for display in tables. All analyses were conducted using SAS 9.0 software (SAS Institute Inc., Cary, NC). On examining self-reports of total fish consumption, we found three women who had consumed > 300 fish meals in the 6 months corresponding to the first half of pregnancy. These outliers could not be verified and were removed from the analyses.", "The POUCH Study recruited women from 52 participating prenatal clinics located in five Michigan communities, each of which include urban, suburban, and rural areas (Holzman et al. 2001) (Figure 1). Women were enrolled in the 15th to 27th week of pregnancy, with approximately 70% before the 24th week. Eligibility criteria included screening for maternal serum alpha-fetoprotein (MSAFP) levels between 15 and 22 weeks of pregnancy, > 14 years of age, competency in English, singleton pregnancy with no known congenital or chromosomal anomalies at the time of recruitment, and no prepregnancy diabetes mellitus. A total of 1,226 women were enrolled in the POUCH cohort during the first part of the study (8 September 1998 through 31 July 2001). All were included in these analyses, except for five because of loss to follow-up and an additional 197 because hair samples were not available (69 declined hair sampling and 129 had hair that was < 7.6 cm long or in a woven hairstyle). Mid-pregnancy hair mercury levels were assessed in the remaining 1,024 cohort women. The study protocol was approved by human subjects review boards at participating institutions. Before enrollment, all participants provided written consent.\nDue to Health Insurance Portability and Accountability Act (HIPAA) regulations, it was not possible to determine an exact response rate or compare characteristics of participants with those of women who declined enrollment in the POUCH study. However, we were able to compare POUCH study data with data recorded on birth certificates of women who delivered in the five study communities in 2000. Ethnic-specific analyses (white non-Hispanic, African American), weighted by the proportion of women enrolled from each community, showed that the POUCH sample was very similar to community mothers on most factors measured—age, parity, education levels, and the proportions of women with Medicaid insurance, preterm delivery, previous stillbirth, previous preterm infant, and previous low birth weight infant. The one exception was the percentage of African Americans > 30 years of age, which was lower in POUCH (14%) than in community birth certificates (21%).", "Gestational age at delivery was determined by date of first day of the last menstrual period (LMP), or a gestational age estimate from an early ultrasound (≤ 25 weeks), the latter used when the two estimates disagreed by > 2 weeks. Early ultrasound data were available for 93% of women.", "Information on maternal characteristics including age, ethnicity, education, Medicaid insurance status, and smoking was collected through in-person interviews and self-administered questionnaires at enrollment. As part of the interview, women were asked “During this pregnancy how often have you eaten any of the following fish: shellfish, canned fish, other fish you purchased at a store or restaurant [referred to as bought fish], sport-caught fish in Michigan waters, and some other fish?” For each fish category, respondents were asked about their number of meals per day, week, month, or previous 6 months. Six months was used as an option for infrequent consumers of fish and was thought to capture the period from conception to study interview for most women in the study. The data were then scaled so that all fish consumption—fish categories and total—could be expressed as meals per 6 months, thereby describing levels of fish intake in approximately the first 6 months of pregnancy. Total fish consumption was calculated by summing consumption of all categories of fish and shellfish.", "At enrollment, approximately ≥ 100 strands of hair were cut close to the scalp from the posterior vertex region of women with hair at least 7.6 cm in length. A segment of hair closest to the scalp, approximating exposure during pregnancy, was assessed for total mercury levels. The length of segment used varied by gestational week at enrollment, assuming average hair growth of approximately 1.3 cm per month (Saitoh et al. 1967). Before analysis, hair was washed with acetone and water to remove mercury deposited from external sources. Cold vapor atomic absorption spectrometry (CVAAS; model M6000; Cetac Technology, Omaha, NE) was used to quantify total mercury levels in hair. It is estimated that around 70–90% of mercury in hair is methylmercury (Chen et al. 2002). Because of this and other factors, researchers consider total mercury levels in hair to be a useful biomarker of exposure to methylmercury (Berglund et al. 2005; Chen et al. 2002).", "We used generalized linear models (GLM) to assess the relationships between mercury levels in hair, maternal characteristics, and fish consumption. We used multicovariate logistic regression to evaluate the association between maternal mercury levels and risk of preterm delivery (< 37 weeks’ gestation), moderate preterm delivery (35–36 weeks’ gestation), and very preterm delivery (< 35 weeks’ gestation). Threshold levels for mercury effects were tested at quintile cutoffs and at the 90th percentile. To meet the underlying assumptions of the GLM, mercury levels were transformed to natural log scale (micrograms per gram) for analyses and then transformed back to mercury levels (micrograms per gram) for display in tables. All analyses were conducted using SAS 9.0 software (SAS Institute Inc., Cary, NC). On examining self-reports of total fish consumption, we found three women who had consumed > 300 fish meals in the 6 months corresponding to the first half of pregnancy. These outliers could not be verified and were removed from the analyses.", "At the time of enrollment, 41% of women were < 25 years of age, 42% had ≤ 12 years of education, and 43% were insured by Medicaid, a health-related public assistance program (Table 1). The percentage of women from racial/ethnic backgrounds other than non-Hispanic white and African American was only 9%. The “other” ethnic groups were included with non-Hispanic whites in the final models. Alternative analyses excluding these other groups showed similar results to that of the more inclusive final models.\nIn approximately the first 6 months of pregnancy, 11% of women in this sample did not eat any fish, 25% ate two fish meals or fewer, and only 50% ate more than nine fish meals. The mean level of total fish consumption was 19.6 meals/6 months, considerably higher than the median (50th percentile = 9.0 meals/6 months), suggesting a right skewing of the distribution (Table 2). Canned fish was the most frequently consumed fish category, with 25% of women eating ≥ 12 meals/6 months, followed by bought fish, with 25% eating ≥ 6 meals/6 months. Only 9.2% of women reported consumption of sport-caught fish during the first 6 months of pregnancy.\nMercury levels in maternal hair ranged from 0.01 to 2.50 μg/g, with a mean of 0.29 μg/g and a median of 0.23 μg/g. Approximately 20% of women had levels > 0.38 μg/g (Table 3). Mercury levels were divided into quintiles and total fish consumption and consumption of each fish category were divided into four levels: 0 meals/6 months (reference group), 1–5 meals/6 months, 6–23 meals/6 months, and ≥ 24 meals/6 months. Women with higher levels of total fish consumption were more likely to have mercury levels in the upper quintiles (Table 3). The mean and median hair mercury levels for the 109 women who did not consume fish during this period in pregnancy were 0.15 μg/g and 0.13 μg/g, respectively. Interestingly, 10% of women who reported not eating fish during pregnancy had hair mercury levels in the 4th and 5th quintiles.\nIn multicovariate analyses, higher mercury levels were significantly associated with older maternal age (≥ 25 years), white and “other” ethnicity, not being insured by Medicaid, and residing in communities 3, 4, and 5 (Figure 2), even after adjusting for total fish consumption. Maternal mercury levels were not significantly related to gestational week at enrollment or smoking before or during pregnancy. We reevaluated the association between total fish consumption and mercury levels in a model that included maternal covariates related to mercury levels in hair (Table 4). The adjusted mean mercury continued to be significantly higher in women who consumed fish compared with that in women who did not consume fish in the first 6 months of pregnancy, and mean mercury levels increased as levels of fish consumption increased. In another model that included consumption of each fish category along with the other maternal covariates related to mercury levels in this sample, consumption of canned fish, bought fish, and sport-caught fish were each positively associated with mercury levels in maternal hair. Adjustment for gestational week at enrollment did not appreciably alter these associations.\nIn the final analyses, we assessed maternal mercury levels at mid-pregnancy in relation to gestational week at delivery. Women who delivered very preterm (< 35 weeks) were more likely to have had hair mercury levels at or above the 90th percentile (0.55–2.5 μg/g) than were women who delivered at term (≥ 37 weeks), even after adjusting for maternal characteristics and total fish consumption [odds ratio (OR) = 3.0; 95% confidence interval (CI), 1.3–6.7] (Table 5). These results remained relatively unchanged in models that adjusted for gestational week at enrollment and fish categories. The association between maternal mercury levels and very preterm delivery was not evident at lower threshold levels of mercury (i.e., quintile cut-points), and mercury levels were not associated with delivery of a moderately preterm infant (35–36 weeks).", "Women enrolled in the POUCH Study resided in communities surrounded by the Great Lakes, but their levels of fish consumption in the first 6 months of pregnancy would be considered moderate to low relative to populations that subsist on fish. Despite the modest levels of fish consumption, there was strong evidence that mercury levels in maternal hair were higher when fish consumption levels were higher.\nA positive correlation between fish consumption and mercury levels in pregnant women has been reported in studies conducted in European countries (Bjornberg et al. 2003; Daniels et al. 2004; Oskarsson et al. 1994) and the Amazon basin of South America (Bruhn et al. 1995; Hacon et al. 2000). Fewer data are available from pregnant populations in North America. Two studies from Canada in areas close to the Great Lakes showed a positive association between fish consumption and mercury levels in maternal hair (Morrissette et al. 2004; Muckle et al. 2001). Other studies from the Great Lakes area have observed a positive relationship between fish consumption and mercury levels in nonpregnant women of child-bearing age (Nadon et al. 2002), anglers and fish eaters (Cole et al. 2004), Native Americans (Gerstenberger et al. 1997), Montreal sportfishers of Asian origin (Kosatsky et al. 1999b), and the general population (Kosatsky et al. 2000; Mahaffey and Mergler 1998). The concordance of the information provided from these and other studies indicates that in diverse regions of the globe, consumption of fish is a major source of methylmercury exposure in humans.\nIn one study, methylmercury was the most commonly identified pollutant in sport-caught fish (Anderson et al. 2004). Canned tuna has been implicated as one of the main foods contributing to total mercury intake (Legrand et al. 2005; U.S. Department of Health and Human Services and U.S. Environmental Protection Agency 2006). Because of variation in methylmercury levels by fish type and location, studies in different settings have tried, as we tried in this study, to link mercury levels to consumption of particular types of fish. In anglers and Native Americans residing in the Great Lakes region, levels of mercury have been shown to be positively associated with consumption of sport-caught fish (Cole et al. 2004; Gerstenberger et al. 1997; Kosatsky et al. 1999a; Nadon et al. 2002). A study by the Wisconsin Division of Public Health reported that women of child-bearing age who ate sport-caught fish had higher mercury levels in hair than those of women who did not eat sport-caught fish, but the difference was not statistically significant (Knobeloch et al. 2005). Morressette et al. (2004) reported that bought fish, including canned fish, were important sources of mercury exposure during pregnancy. These studies are consistent with our findings of higher hair mercury levels in pregnant women who consumed greater amounts of canned fish, sport-caught fish, and bought fish.\nAs anticipated, hair mercury levels in POUCH Study mothers were lower than levels found in heavily exposed, fish-eating communities. Across studies the unit of measure used to report hair mercury levels varies—parts per million, milligrams per kilogram, or micrograms per gram—but these units are equivalent and can be directly compared. The median hair mercury level in the Faroe Islands sample was 4.5 ppm, and in the Seychelles 5.9 ppm, almost double the highest mercury level observed in the POUCH Study (Davidson et al. 1999; Grandjean et al. 1992). In a study of Swedish women of child-bearing age, 127 women reported consuming, on average, four fish meals/week and had a median hair mercury level of 0.70 mg/kg (Bjornberg et al. 2005). A study of 150 pregnant women from varied locations in Alaska found somewhat lower levels: The median hair mercury was 0.47 mg/kg and the mean was 0.72 mg/kg (Arnold et al. 2005). Two studies—one from Massachusetts, the other from southwest Québec—reported mercury levels more similar to those in our findings. The first study included 135 pregnant women recruited from an HMO in eastern Massachusetts (Oken et al. 2005). On average, women in that study consumed slightly more fish (1.2 meals/week) than did women in the POUCH Study (0.82 meals/week), and had slightly higher hair mercury levels (mean = 0.55 ppm; 10% exceeded 1.2 ppm) than did those in the POUCH Study (mean = 0.29 μg/g; 10 % exceeded 0.54 μg/g). In the Québec study of 159 pregnant women, mercury was assessed in sequential centimeters of hair to represent levels during different months of pregnancy (Morrissette et al. 2004). Among women who consumed two or more fish meals/month, mean hair mercury levels were about 0.20 μg/g at the 5th–6th month of pregnancy. Differences in maternal mercury levels across these studies may be explained by differences in both amount and types of fish consumed.\nIn the POUCH Study, maternal characteristics of older age, ethnicity of white and other, not being insured by Medicaid, and residing in three of the five communities were significantly associated with higher maternal mercury levels after adjusting for fish consumption. The reasons for these associations are unclear and may include other lifestyle factors, mercury exposures not related to fish, and residual confounding from incomplete adjustment for fish types, portion size, and method of preparation. The observed higher mean mercury level among women without Medicaid insurance—a marker of higher socioeconomic status—is consistent with a recently released report by the Wisconsin Division of Public Health, which also found higher mercury levels in association with higher socioeconomic status (i.e., college education and annual household income > $75,000) (Knobeloch et al. 2005). It is unlikely that the community differences in mercury levels within our study reflect variations in pollutant levels in local fish, because most of the fish consumed are not from local waters. About 10% of women in the POUCH Study reported not consuming fish during pregnancy but had hair mercury levels in the top two quintiles. This suggests that their diet histories may have been inaccurate or there may be sources of exposure, other than fish, that are uncommon but deserve consideration.\nOur study is the first to report an association between delivery at < 35 weeks’ gestation and maternal hair mercury levels ≥ 0.55 μg/g (upper 10th percentile). The biologic mechanism supporting this finding requires further investigation. It has been shown that methylmercury produces oxidative stress at the cellular level (Sanfeliu et al. 2003), which may be a contributing factor. In addition, methylmercury can influence shape, aggregation, and levels of platelets (Hornberger and Patscheke 1989; Macfarlane 1981) and thromboxane (Caprino et al. 1983). These effects may potentiate underlying pathology related to maternal vascular diseases in pregnancy. Within the POUCH Study we plan to examine maternal biomarkers of endothelial dysfunction and will explore whether they are related to maternal mercury levels.\nSeveral methodologic differences could account for the inconsistency between our study results and those of previous studies that did not detect an association between mercury levels and gestational age at delivery (Foldspang and Hansen 1990; Fu 1993; Grandjean et al. 2001; Lucas et al. 2004). Our study correlating fish consumption and maternal mercury levels in hair is the largest in the United States to date, providing greater statistical power to detect moderate associations (OR = 3.0) with an outcome that is less frequent, such as delivery at < 35 weeks. Studies using blood levels of mercury (maternal, cord) reflect variations in recent exposure (Foldspang and Hansen 1990; Grandjean et al. 2001; Lucas et al. 2004), whereas mercury in hair is relatively stable and mid-pregnancy hair levels better represent average exposure across the first half of pregnancy. The POUCH Study women had considerably lower mercury levels relative to those of women in other studies, allowing for the testing of lower thresholds. Only one study assessed preterm delivery as an outcome (Fu 1993), and the other three considered mean gestational age at delivery which may have obscured mercury effects in the tail of the distribution (i.e., very preterm) (Foldspang and Hansen 1990; Grandjean et al. 2001; Lucas et al. 2004). In addition, other studies did not adjust for fish consumption, a potential confounder in populations with high levels of fish consumption. Researchers have hypothesized that omega-3 fatty acids in fish can prolong gestation by down-regulating the synthesis of prostaglandin (PG) E2 and PGF2a, and promoting the synthesis of PGI2 and PGI3, thus leading to a more relaxed myometrium (Ferretti et al. 1988; Hansen and Olsen 1988).\nMajor strengths of the present study include the large number of pregnant women participating, the prospective design, and the use of hair as an index of methylmercury exposure. Hair levels of total mercury represent a longer window of exposure than those of blood levels. This study also had several limitations: First, information on fish consumption was based on recall, which can lead to inaccurate estimates. However, the recall period was focused on eating habits during pregnancy, a time when women are often more aware of their dietary patterns. Because the reports of fish consumption were obtained well before the outcome of the pregnancy, there is little concern about differential recall bias. Second, maternal interviews did not include information on portion size of fish meals and methods of preparation. Factoring in these details might further strengthen correlations between levels of fish consumption and levels of mercury in hair. Third, women were not asked about number of dental amalgam fillings. Total mercury measured in maternal hair may include 10–30% inorganic mercury, the major form of mercury in amalgam fillings (Spencer 2000). However, it is widely accepted that in populations similar to those we have studied, food—particularly fish—is the major exposure source of methylmercury, the primary component of total mercury found in hair. In addition, several studies have reported little or no relationship between hair total mercury and exposure to amalgams (Berglund et. al. 2005; Bjornberg et al. 2003; Hansen et al. 2004; Pesch et al. 2002; Tulinius 1995).\nAn important limitation is our lack of information on maternal levels of other pollutants commonly found in fish (e.g., organo-chlorines). Women with higher mercury levels in hair may have been exposed to higher levels of other contaminants, such as polychlorinated biphenyls (PCBs) and dichlorodiphenyl-dichloroethylene (DDE), a metabolite of DDT. Hair mercury levels and blood PCB and DDE levels have all been found to be elevated in high-level fish consumers compared with people who eat less fish (Kosatsky et al. 1999a, 1999b). Based on the estimate of average daily dietary exposure to contaminants for approximately 120,000 adults from the Nurses’ Health Study and the Health Professional Follow-up Study, intraindividual exposures to mercury and DDE were found to be moderately correlated among women (r = 0.27) and men (r = 0.17) (MacIntosh et al. 1996). We tried to adjust for other pollutants in fish and for the potentially beneficial aspects of fish (e.g., omega-3 fatty acids) by including total fish consumption in our final analyses. After adjustment, the positive association between maternal mercury levels in hair and risk of very preterm delivery remained, but we cannot rule out residual confounding by other pollutants. Previous studies have failed to find a link between preterm delivery risk and levels of PCBs (Berkowitz et al. 1996; Longnecker et al. 2005) or DDE (Farhang et al. 2005; Fenster et al. 2006; Torres-Arreola et al. 2003). The one exception is a report of excess preterm delivery among women with high blood levels of DDE (Longnecker et al. 2001). This study used stored blood samples from the Collaborative Perinatal Project, a U.S. cohort assembled in 1959 through 1966. The DDE levels associated with preterm birth were considerably higher than DDE levels found in U.S. women of reproductive age today.\nOur study reinforced previous findings suggesting that fish consumption is a major source of mercury exposure for pregnant women. Although much attention has been focused on pollutants in locally caught fish, and fish advisories are not uncommon, we found that only a small percentage of pregnant women, < 10%, consumed sport-caught fish during pregnancy. The greatest fish source for mercury exposure appeared to be canned fish, both because it was consumed more and, per meal, it was among the fish categories associated with the highest levels of mercury in maternal hair. The observed relationship between elevated mercury levels and increased risk of very preterm delivery is a new finding and requires caution in interpretation. Although the study sample was large, the number of women who delivered before 35 weeks of pregnancy was small (n = 44), and more studies are needed to test this association." ]
[ "materials|methods", null, null, "intro", null, null, "results", "discussion" ]
[ "fish consumption", "pregnancy", "preterm delivery", "mercury" ]
Materials and Methods: Population The POUCH Study recruited women from 52 participating prenatal clinics located in five Michigan communities, each of which include urban, suburban, and rural areas (Holzman et al. 2001) (Figure 1). Women were enrolled in the 15th to 27th week of pregnancy, with approximately 70% before the 24th week. Eligibility criteria included screening for maternal serum alpha-fetoprotein (MSAFP) levels between 15 and 22 weeks of pregnancy, > 14 years of age, competency in English, singleton pregnancy with no known congenital or chromosomal anomalies at the time of recruitment, and no prepregnancy diabetes mellitus. A total of 1,226 women were enrolled in the POUCH cohort during the first part of the study (8 September 1998 through 31 July 2001). All were included in these analyses, except for five because of loss to follow-up and an additional 197 because hair samples were not available (69 declined hair sampling and 129 had hair that was < 7.6 cm long or in a woven hairstyle). Mid-pregnancy hair mercury levels were assessed in the remaining 1,024 cohort women. The study protocol was approved by human subjects review boards at participating institutions. Before enrollment, all participants provided written consent. Due to Health Insurance Portability and Accountability Act (HIPAA) regulations, it was not possible to determine an exact response rate or compare characteristics of participants with those of women who declined enrollment in the POUCH study. However, we were able to compare POUCH study data with data recorded on birth certificates of women who delivered in the five study communities in 2000. Ethnic-specific analyses (white non-Hispanic, African American), weighted by the proportion of women enrolled from each community, showed that the POUCH sample was very similar to community mothers on most factors measured—age, parity, education levels, and the proportions of women with Medicaid insurance, preterm delivery, previous stillbirth, previous preterm infant, and previous low birth weight infant. The one exception was the percentage of African Americans > 30 years of age, which was lower in POUCH (14%) than in community birth certificates (21%). The POUCH Study recruited women from 52 participating prenatal clinics located in five Michigan communities, each of which include urban, suburban, and rural areas (Holzman et al. 2001) (Figure 1). Women were enrolled in the 15th to 27th week of pregnancy, with approximately 70% before the 24th week. Eligibility criteria included screening for maternal serum alpha-fetoprotein (MSAFP) levels between 15 and 22 weeks of pregnancy, > 14 years of age, competency in English, singleton pregnancy with no known congenital or chromosomal anomalies at the time of recruitment, and no prepregnancy diabetes mellitus. A total of 1,226 women were enrolled in the POUCH cohort during the first part of the study (8 September 1998 through 31 July 2001). All were included in these analyses, except for five because of loss to follow-up and an additional 197 because hair samples were not available (69 declined hair sampling and 129 had hair that was < 7.6 cm long or in a woven hairstyle). Mid-pregnancy hair mercury levels were assessed in the remaining 1,024 cohort women. The study protocol was approved by human subjects review boards at participating institutions. Before enrollment, all participants provided written consent. Due to Health Insurance Portability and Accountability Act (HIPAA) regulations, it was not possible to determine an exact response rate or compare characteristics of participants with those of women who declined enrollment in the POUCH study. However, we were able to compare POUCH study data with data recorded on birth certificates of women who delivered in the five study communities in 2000. Ethnic-specific analyses (white non-Hispanic, African American), weighted by the proportion of women enrolled from each community, showed that the POUCH sample was very similar to community mothers on most factors measured—age, parity, education levels, and the proportions of women with Medicaid insurance, preterm delivery, previous stillbirth, previous preterm infant, and previous low birth weight infant. The one exception was the percentage of African Americans > 30 years of age, which was lower in POUCH (14%) than in community birth certificates (21%). Gestational age Gestational age at delivery was determined by date of first day of the last menstrual period (LMP), or a gestational age estimate from an early ultrasound (≤ 25 weeks), the latter used when the two estimates disagreed by > 2 weeks. Early ultrasound data were available for 93% of women. Gestational age at delivery was determined by date of first day of the last menstrual period (LMP), or a gestational age estimate from an early ultrasound (≤ 25 weeks), the latter used when the two estimates disagreed by > 2 weeks. Early ultrasound data were available for 93% of women. Maternal characteristics and fish consumption Information on maternal characteristics including age, ethnicity, education, Medicaid insurance status, and smoking was collected through in-person interviews and self-administered questionnaires at enrollment. As part of the interview, women were asked “During this pregnancy how often have you eaten any of the following fish: shellfish, canned fish, other fish you purchased at a store or restaurant [referred to as bought fish], sport-caught fish in Michigan waters, and some other fish?” For each fish category, respondents were asked about their number of meals per day, week, month, or previous 6 months. Six months was used as an option for infrequent consumers of fish and was thought to capture the period from conception to study interview for most women in the study. The data were then scaled so that all fish consumption—fish categories and total—could be expressed as meals per 6 months, thereby describing levels of fish intake in approximately the first 6 months of pregnancy. Total fish consumption was calculated by summing consumption of all categories of fish and shellfish. Information on maternal characteristics including age, ethnicity, education, Medicaid insurance status, and smoking was collected through in-person interviews and self-administered questionnaires at enrollment. As part of the interview, women were asked “During this pregnancy how often have you eaten any of the following fish: shellfish, canned fish, other fish you purchased at a store or restaurant [referred to as bought fish], sport-caught fish in Michigan waters, and some other fish?” For each fish category, respondents were asked about their number of meals per day, week, month, or previous 6 months. Six months was used as an option for infrequent consumers of fish and was thought to capture the period from conception to study interview for most women in the study. The data were then scaled so that all fish consumption—fish categories and total—could be expressed as meals per 6 months, thereby describing levels of fish intake in approximately the first 6 months of pregnancy. Total fish consumption was calculated by summing consumption of all categories of fish and shellfish. Mercury levels in hair At enrollment, approximately ≥ 100 strands of hair were cut close to the scalp from the posterior vertex region of women with hair at least 7.6 cm in length. A segment of hair closest to the scalp, approximating exposure during pregnancy, was assessed for total mercury levels. The length of segment used varied by gestational week at enrollment, assuming average hair growth of approximately 1.3 cm per month (Saitoh et al. 1967). Before analysis, hair was washed with acetone and water to remove mercury deposited from external sources. Cold vapor atomic absorption spectrometry (CVAAS; model M6000; Cetac Technology, Omaha, NE) was used to quantify total mercury levels in hair. It is estimated that around 70–90% of mercury in hair is methylmercury (Chen et al. 2002). Because of this and other factors, researchers consider total mercury levels in hair to be a useful biomarker of exposure to methylmercury (Berglund et al. 2005; Chen et al. 2002). At enrollment, approximately ≥ 100 strands of hair were cut close to the scalp from the posterior vertex region of women with hair at least 7.6 cm in length. A segment of hair closest to the scalp, approximating exposure during pregnancy, was assessed for total mercury levels. The length of segment used varied by gestational week at enrollment, assuming average hair growth of approximately 1.3 cm per month (Saitoh et al. 1967). Before analysis, hair was washed with acetone and water to remove mercury deposited from external sources. Cold vapor atomic absorption spectrometry (CVAAS; model M6000; Cetac Technology, Omaha, NE) was used to quantify total mercury levels in hair. It is estimated that around 70–90% of mercury in hair is methylmercury (Chen et al. 2002). Because of this and other factors, researchers consider total mercury levels in hair to be a useful biomarker of exposure to methylmercury (Berglund et al. 2005; Chen et al. 2002). Analytic strategy We used generalized linear models (GLM) to assess the relationships between mercury levels in hair, maternal characteristics, and fish consumption. We used multicovariate logistic regression to evaluate the association between maternal mercury levels and risk of preterm delivery (< 37 weeks’ gestation), moderate preterm delivery (35–36 weeks’ gestation), and very preterm delivery (< 35 weeks’ gestation). Threshold levels for mercury effects were tested at quintile cutoffs and at the 90th percentile. To meet the underlying assumptions of the GLM, mercury levels were transformed to natural log scale (micrograms per gram) for analyses and then transformed back to mercury levels (micrograms per gram) for display in tables. All analyses were conducted using SAS 9.0 software (SAS Institute Inc., Cary, NC). On examining self-reports of total fish consumption, we found three women who had consumed > 300 fish meals in the 6 months corresponding to the first half of pregnancy. These outliers could not be verified and were removed from the analyses. We used generalized linear models (GLM) to assess the relationships between mercury levels in hair, maternal characteristics, and fish consumption. We used multicovariate logistic regression to evaluate the association between maternal mercury levels and risk of preterm delivery (< 37 weeks’ gestation), moderate preterm delivery (35–36 weeks’ gestation), and very preterm delivery (< 35 weeks’ gestation). Threshold levels for mercury effects were tested at quintile cutoffs and at the 90th percentile. To meet the underlying assumptions of the GLM, mercury levels were transformed to natural log scale (micrograms per gram) for analyses and then transformed back to mercury levels (micrograms per gram) for display in tables. All analyses were conducted using SAS 9.0 software (SAS Institute Inc., Cary, NC). On examining self-reports of total fish consumption, we found three women who had consumed > 300 fish meals in the 6 months corresponding to the first half of pregnancy. These outliers could not be verified and were removed from the analyses. Population: The POUCH Study recruited women from 52 participating prenatal clinics located in five Michigan communities, each of which include urban, suburban, and rural areas (Holzman et al. 2001) (Figure 1). Women were enrolled in the 15th to 27th week of pregnancy, with approximately 70% before the 24th week. Eligibility criteria included screening for maternal serum alpha-fetoprotein (MSAFP) levels between 15 and 22 weeks of pregnancy, > 14 years of age, competency in English, singleton pregnancy with no known congenital or chromosomal anomalies at the time of recruitment, and no prepregnancy diabetes mellitus. A total of 1,226 women were enrolled in the POUCH cohort during the first part of the study (8 September 1998 through 31 July 2001). All were included in these analyses, except for five because of loss to follow-up and an additional 197 because hair samples were not available (69 declined hair sampling and 129 had hair that was < 7.6 cm long or in a woven hairstyle). Mid-pregnancy hair mercury levels were assessed in the remaining 1,024 cohort women. The study protocol was approved by human subjects review boards at participating institutions. Before enrollment, all participants provided written consent. Due to Health Insurance Portability and Accountability Act (HIPAA) regulations, it was not possible to determine an exact response rate or compare characteristics of participants with those of women who declined enrollment in the POUCH study. However, we were able to compare POUCH study data with data recorded on birth certificates of women who delivered in the five study communities in 2000. Ethnic-specific analyses (white non-Hispanic, African American), weighted by the proportion of women enrolled from each community, showed that the POUCH sample was very similar to community mothers on most factors measured—age, parity, education levels, and the proportions of women with Medicaid insurance, preterm delivery, previous stillbirth, previous preterm infant, and previous low birth weight infant. The one exception was the percentage of African Americans > 30 years of age, which was lower in POUCH (14%) than in community birth certificates (21%). Gestational age: Gestational age at delivery was determined by date of first day of the last menstrual period (LMP), or a gestational age estimate from an early ultrasound (≤ 25 weeks), the latter used when the two estimates disagreed by > 2 weeks. Early ultrasound data were available for 93% of women. Maternal characteristics and fish consumption: Information on maternal characteristics including age, ethnicity, education, Medicaid insurance status, and smoking was collected through in-person interviews and self-administered questionnaires at enrollment. As part of the interview, women were asked “During this pregnancy how often have you eaten any of the following fish: shellfish, canned fish, other fish you purchased at a store or restaurant [referred to as bought fish], sport-caught fish in Michigan waters, and some other fish?” For each fish category, respondents were asked about their number of meals per day, week, month, or previous 6 months. Six months was used as an option for infrequent consumers of fish and was thought to capture the period from conception to study interview for most women in the study. The data were then scaled so that all fish consumption—fish categories and total—could be expressed as meals per 6 months, thereby describing levels of fish intake in approximately the first 6 months of pregnancy. Total fish consumption was calculated by summing consumption of all categories of fish and shellfish. Mercury levels in hair: At enrollment, approximately ≥ 100 strands of hair were cut close to the scalp from the posterior vertex region of women with hair at least 7.6 cm in length. A segment of hair closest to the scalp, approximating exposure during pregnancy, was assessed for total mercury levels. The length of segment used varied by gestational week at enrollment, assuming average hair growth of approximately 1.3 cm per month (Saitoh et al. 1967). Before analysis, hair was washed with acetone and water to remove mercury deposited from external sources. Cold vapor atomic absorption spectrometry (CVAAS; model M6000; Cetac Technology, Omaha, NE) was used to quantify total mercury levels in hair. It is estimated that around 70–90% of mercury in hair is methylmercury (Chen et al. 2002). Because of this and other factors, researchers consider total mercury levels in hair to be a useful biomarker of exposure to methylmercury (Berglund et al. 2005; Chen et al. 2002). Analytic strategy: We used generalized linear models (GLM) to assess the relationships between mercury levels in hair, maternal characteristics, and fish consumption. We used multicovariate logistic regression to evaluate the association between maternal mercury levels and risk of preterm delivery (< 37 weeks’ gestation), moderate preterm delivery (35–36 weeks’ gestation), and very preterm delivery (< 35 weeks’ gestation). Threshold levels for mercury effects were tested at quintile cutoffs and at the 90th percentile. To meet the underlying assumptions of the GLM, mercury levels were transformed to natural log scale (micrograms per gram) for analyses and then transformed back to mercury levels (micrograms per gram) for display in tables. All analyses were conducted using SAS 9.0 software (SAS Institute Inc., Cary, NC). On examining self-reports of total fish consumption, we found three women who had consumed > 300 fish meals in the 6 months corresponding to the first half of pregnancy. These outliers could not be verified and were removed from the analyses. Results: At the time of enrollment, 41% of women were < 25 years of age, 42% had ≤ 12 years of education, and 43% were insured by Medicaid, a health-related public assistance program (Table 1). The percentage of women from racial/ethnic backgrounds other than non-Hispanic white and African American was only 9%. The “other” ethnic groups were included with non-Hispanic whites in the final models. Alternative analyses excluding these other groups showed similar results to that of the more inclusive final models. In approximately the first 6 months of pregnancy, 11% of women in this sample did not eat any fish, 25% ate two fish meals or fewer, and only 50% ate more than nine fish meals. The mean level of total fish consumption was 19.6 meals/6 months, considerably higher than the median (50th percentile = 9.0 meals/6 months), suggesting a right skewing of the distribution (Table 2). Canned fish was the most frequently consumed fish category, with 25% of women eating ≥ 12 meals/6 months, followed by bought fish, with 25% eating ≥ 6 meals/6 months. Only 9.2% of women reported consumption of sport-caught fish during the first 6 months of pregnancy. Mercury levels in maternal hair ranged from 0.01 to 2.50 μg/g, with a mean of 0.29 μg/g and a median of 0.23 μg/g. Approximately 20% of women had levels > 0.38 μg/g (Table 3). Mercury levels were divided into quintiles and total fish consumption and consumption of each fish category were divided into four levels: 0 meals/6 months (reference group), 1–5 meals/6 months, 6–23 meals/6 months, and ≥ 24 meals/6 months. Women with higher levels of total fish consumption were more likely to have mercury levels in the upper quintiles (Table 3). The mean and median hair mercury levels for the 109 women who did not consume fish during this period in pregnancy were 0.15 μg/g and 0.13 μg/g, respectively. Interestingly, 10% of women who reported not eating fish during pregnancy had hair mercury levels in the 4th and 5th quintiles. In multicovariate analyses, higher mercury levels were significantly associated with older maternal age (≥ 25 years), white and “other” ethnicity, not being insured by Medicaid, and residing in communities 3, 4, and 5 (Figure 2), even after adjusting for total fish consumption. Maternal mercury levels were not significantly related to gestational week at enrollment or smoking before or during pregnancy. We reevaluated the association between total fish consumption and mercury levels in a model that included maternal covariates related to mercury levels in hair (Table 4). The adjusted mean mercury continued to be significantly higher in women who consumed fish compared with that in women who did not consume fish in the first 6 months of pregnancy, and mean mercury levels increased as levels of fish consumption increased. In another model that included consumption of each fish category along with the other maternal covariates related to mercury levels in this sample, consumption of canned fish, bought fish, and sport-caught fish were each positively associated with mercury levels in maternal hair. Adjustment for gestational week at enrollment did not appreciably alter these associations. In the final analyses, we assessed maternal mercury levels at mid-pregnancy in relation to gestational week at delivery. Women who delivered very preterm (< 35 weeks) were more likely to have had hair mercury levels at or above the 90th percentile (0.55–2.5 μg/g) than were women who delivered at term (≥ 37 weeks), even after adjusting for maternal characteristics and total fish consumption [odds ratio (OR) = 3.0; 95% confidence interval (CI), 1.3–6.7] (Table 5). These results remained relatively unchanged in models that adjusted for gestational week at enrollment and fish categories. The association between maternal mercury levels and very preterm delivery was not evident at lower threshold levels of mercury (i.e., quintile cut-points), and mercury levels were not associated with delivery of a moderately preterm infant (35–36 weeks). Discussion: Women enrolled in the POUCH Study resided in communities surrounded by the Great Lakes, but their levels of fish consumption in the first 6 months of pregnancy would be considered moderate to low relative to populations that subsist on fish. Despite the modest levels of fish consumption, there was strong evidence that mercury levels in maternal hair were higher when fish consumption levels were higher. A positive correlation between fish consumption and mercury levels in pregnant women has been reported in studies conducted in European countries (Bjornberg et al. 2003; Daniels et al. 2004; Oskarsson et al. 1994) and the Amazon basin of South America (Bruhn et al. 1995; Hacon et al. 2000). Fewer data are available from pregnant populations in North America. Two studies from Canada in areas close to the Great Lakes showed a positive association between fish consumption and mercury levels in maternal hair (Morrissette et al. 2004; Muckle et al. 2001). Other studies from the Great Lakes area have observed a positive relationship between fish consumption and mercury levels in nonpregnant women of child-bearing age (Nadon et al. 2002), anglers and fish eaters (Cole et al. 2004), Native Americans (Gerstenberger et al. 1997), Montreal sportfishers of Asian origin (Kosatsky et al. 1999b), and the general population (Kosatsky et al. 2000; Mahaffey and Mergler 1998). The concordance of the information provided from these and other studies indicates that in diverse regions of the globe, consumption of fish is a major source of methylmercury exposure in humans. In one study, methylmercury was the most commonly identified pollutant in sport-caught fish (Anderson et al. 2004). Canned tuna has been implicated as one of the main foods contributing to total mercury intake (Legrand et al. 2005; U.S. Department of Health and Human Services and U.S. Environmental Protection Agency 2006). Because of variation in methylmercury levels by fish type and location, studies in different settings have tried, as we tried in this study, to link mercury levels to consumption of particular types of fish. In anglers and Native Americans residing in the Great Lakes region, levels of mercury have been shown to be positively associated with consumption of sport-caught fish (Cole et al. 2004; Gerstenberger et al. 1997; Kosatsky et al. 1999a; Nadon et al. 2002). A study by the Wisconsin Division of Public Health reported that women of child-bearing age who ate sport-caught fish had higher mercury levels in hair than those of women who did not eat sport-caught fish, but the difference was not statistically significant (Knobeloch et al. 2005). Morressette et al. (2004) reported that bought fish, including canned fish, were important sources of mercury exposure during pregnancy. These studies are consistent with our findings of higher hair mercury levels in pregnant women who consumed greater amounts of canned fish, sport-caught fish, and bought fish. As anticipated, hair mercury levels in POUCH Study mothers were lower than levels found in heavily exposed, fish-eating communities. Across studies the unit of measure used to report hair mercury levels varies—parts per million, milligrams per kilogram, or micrograms per gram—but these units are equivalent and can be directly compared. The median hair mercury level in the Faroe Islands sample was 4.5 ppm, and in the Seychelles 5.9 ppm, almost double the highest mercury level observed in the POUCH Study (Davidson et al. 1999; Grandjean et al. 1992). In a study of Swedish women of child-bearing age, 127 women reported consuming, on average, four fish meals/week and had a median hair mercury level of 0.70 mg/kg (Bjornberg et al. 2005). A study of 150 pregnant women from varied locations in Alaska found somewhat lower levels: The median hair mercury was 0.47 mg/kg and the mean was 0.72 mg/kg (Arnold et al. 2005). Two studies—one from Massachusetts, the other from southwest Québec—reported mercury levels more similar to those in our findings. The first study included 135 pregnant women recruited from an HMO in eastern Massachusetts (Oken et al. 2005). On average, women in that study consumed slightly more fish (1.2 meals/week) than did women in the POUCH Study (0.82 meals/week), and had slightly higher hair mercury levels (mean = 0.55 ppm; 10% exceeded 1.2 ppm) than did those in the POUCH Study (mean = 0.29 μg/g; 10 % exceeded 0.54 μg/g). In the Québec study of 159 pregnant women, mercury was assessed in sequential centimeters of hair to represent levels during different months of pregnancy (Morrissette et al. 2004). Among women who consumed two or more fish meals/month, mean hair mercury levels were about 0.20 μg/g at the 5th–6th month of pregnancy. Differences in maternal mercury levels across these studies may be explained by differences in both amount and types of fish consumed. In the POUCH Study, maternal characteristics of older age, ethnicity of white and other, not being insured by Medicaid, and residing in three of the five communities were significantly associated with higher maternal mercury levels after adjusting for fish consumption. The reasons for these associations are unclear and may include other lifestyle factors, mercury exposures not related to fish, and residual confounding from incomplete adjustment for fish types, portion size, and method of preparation. The observed higher mean mercury level among women without Medicaid insurance—a marker of higher socioeconomic status—is consistent with a recently released report by the Wisconsin Division of Public Health, which also found higher mercury levels in association with higher socioeconomic status (i.e., college education and annual household income > $75,000) (Knobeloch et al. 2005). It is unlikely that the community differences in mercury levels within our study reflect variations in pollutant levels in local fish, because most of the fish consumed are not from local waters. About 10% of women in the POUCH Study reported not consuming fish during pregnancy but had hair mercury levels in the top two quintiles. This suggests that their diet histories may have been inaccurate or there may be sources of exposure, other than fish, that are uncommon but deserve consideration. Our study is the first to report an association between delivery at < 35 weeks’ gestation and maternal hair mercury levels ≥ 0.55 μg/g (upper 10th percentile). The biologic mechanism supporting this finding requires further investigation. It has been shown that methylmercury produces oxidative stress at the cellular level (Sanfeliu et al. 2003), which may be a contributing factor. In addition, methylmercury can influence shape, aggregation, and levels of platelets (Hornberger and Patscheke 1989; Macfarlane 1981) and thromboxane (Caprino et al. 1983). These effects may potentiate underlying pathology related to maternal vascular diseases in pregnancy. Within the POUCH Study we plan to examine maternal biomarkers of endothelial dysfunction and will explore whether they are related to maternal mercury levels. Several methodologic differences could account for the inconsistency between our study results and those of previous studies that did not detect an association between mercury levels and gestational age at delivery (Foldspang and Hansen 1990; Fu 1993; Grandjean et al. 2001; Lucas et al. 2004). Our study correlating fish consumption and maternal mercury levels in hair is the largest in the United States to date, providing greater statistical power to detect moderate associations (OR = 3.0) with an outcome that is less frequent, such as delivery at < 35 weeks. Studies using blood levels of mercury (maternal, cord) reflect variations in recent exposure (Foldspang and Hansen 1990; Grandjean et al. 2001; Lucas et al. 2004), whereas mercury in hair is relatively stable and mid-pregnancy hair levels better represent average exposure across the first half of pregnancy. The POUCH Study women had considerably lower mercury levels relative to those of women in other studies, allowing for the testing of lower thresholds. Only one study assessed preterm delivery as an outcome (Fu 1993), and the other three considered mean gestational age at delivery which may have obscured mercury effects in the tail of the distribution (i.e., very preterm) (Foldspang and Hansen 1990; Grandjean et al. 2001; Lucas et al. 2004). In addition, other studies did not adjust for fish consumption, a potential confounder in populations with high levels of fish consumption. Researchers have hypothesized that omega-3 fatty acids in fish can prolong gestation by down-regulating the synthesis of prostaglandin (PG) E2 and PGF2a, and promoting the synthesis of PGI2 and PGI3, thus leading to a more relaxed myometrium (Ferretti et al. 1988; Hansen and Olsen 1988). Major strengths of the present study include the large number of pregnant women participating, the prospective design, and the use of hair as an index of methylmercury exposure. Hair levels of total mercury represent a longer window of exposure than those of blood levels. This study also had several limitations: First, information on fish consumption was based on recall, which can lead to inaccurate estimates. However, the recall period was focused on eating habits during pregnancy, a time when women are often more aware of their dietary patterns. Because the reports of fish consumption were obtained well before the outcome of the pregnancy, there is little concern about differential recall bias. Second, maternal interviews did not include information on portion size of fish meals and methods of preparation. Factoring in these details might further strengthen correlations between levels of fish consumption and levels of mercury in hair. Third, women were not asked about number of dental amalgam fillings. Total mercury measured in maternal hair may include 10–30% inorganic mercury, the major form of mercury in amalgam fillings (Spencer 2000). However, it is widely accepted that in populations similar to those we have studied, food—particularly fish—is the major exposure source of methylmercury, the primary component of total mercury found in hair. In addition, several studies have reported little or no relationship between hair total mercury and exposure to amalgams (Berglund et. al. 2005; Bjornberg et al. 2003; Hansen et al. 2004; Pesch et al. 2002; Tulinius 1995). An important limitation is our lack of information on maternal levels of other pollutants commonly found in fish (e.g., organo-chlorines). Women with higher mercury levels in hair may have been exposed to higher levels of other contaminants, such as polychlorinated biphenyls (PCBs) and dichlorodiphenyl-dichloroethylene (DDE), a metabolite of DDT. Hair mercury levels and blood PCB and DDE levels have all been found to be elevated in high-level fish consumers compared with people who eat less fish (Kosatsky et al. 1999a, 1999b). Based on the estimate of average daily dietary exposure to contaminants for approximately 120,000 adults from the Nurses’ Health Study and the Health Professional Follow-up Study, intraindividual exposures to mercury and DDE were found to be moderately correlated among women (r = 0.27) and men (r = 0.17) (MacIntosh et al. 1996). We tried to adjust for other pollutants in fish and for the potentially beneficial aspects of fish (e.g., omega-3 fatty acids) by including total fish consumption in our final analyses. After adjustment, the positive association between maternal mercury levels in hair and risk of very preterm delivery remained, but we cannot rule out residual confounding by other pollutants. Previous studies have failed to find a link between preterm delivery risk and levels of PCBs (Berkowitz et al. 1996; Longnecker et al. 2005) or DDE (Farhang et al. 2005; Fenster et al. 2006; Torres-Arreola et al. 2003). The one exception is a report of excess preterm delivery among women with high blood levels of DDE (Longnecker et al. 2001). This study used stored blood samples from the Collaborative Perinatal Project, a U.S. cohort assembled in 1959 through 1966. The DDE levels associated with preterm birth were considerably higher than DDE levels found in U.S. women of reproductive age today. Our study reinforced previous findings suggesting that fish consumption is a major source of mercury exposure for pregnant women. Although much attention has been focused on pollutants in locally caught fish, and fish advisories are not uncommon, we found that only a small percentage of pregnant women, < 10%, consumed sport-caught fish during pregnancy. The greatest fish source for mercury exposure appeared to be canned fish, both because it was consumed more and, per meal, it was among the fish categories associated with the highest levels of mercury in maternal hair. The observed relationship between elevated mercury levels and increased risk of very preterm delivery is a new finding and requires caution in interpretation. Although the study sample was large, the number of women who delivered before 35 weeks of pregnancy was small (n = 44), and more studies are needed to test this association.
Background: Pregnant women receive mixed messages about fish consumption in pregnancy because unsaturated fatty acids and protein in fish are thought to be beneficial, but contaminants such as methylmercury may pose a hazard. Methods: In the Pregnancy Outcomes and Community Health (POUCH) study, women were enrolled in the 15th to 27th week of pregnancy from 52 prenatal clinics in five Michigan communities. At enrollment, information was gathered on amount and category of fish consumed during the current pregnancy, and a hair sample was obtained. A segment of hair closest to the scalp, approximating exposure during pregnancy, was assessed for total mercury levels (70-90% methylmercury) in 1,024 POUCH cohort women. Results: Mercury levels ranged from 0.01 to 2.50 pg/g (mean = 0.29 microg/g; median = 0.23 microg/g). Total fish consumption and consumption of canned fish, bought fish, and sport-caught fish were positively associated with mercury levels in hair. The greatest fish source for mercury exposure appeared to be canned fish. Compared with women delivering at term, women who delivered before 35 weeks' gestation were more likely to have hair mercury levels at or above the 90th percentile (> or = 0.55 microg/g), even after adjusting for maternal characteristics and fish consumption (adjusted odds ratio = 3.0; 95% confidence interval, 1.3-6.7). Conclusions: This is the first large, community-based study to examine risk of very preterm birth in relation to mercury levels among women with low to moderate exposure. Additional studies are needed to see whether these findings will be replicated in other settings.
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6,500
315
[ 405, 59, 186, 194 ]
8
[ "fish", "levels", "mercury", "women", "hair", "mercury levels", "study", "consumption", "pregnancy", "maternal" ]
[ "included screening maternal", "pregnancy hair levels", "diseases pregnancy pouch", "pregnancy hair mercury", "pouch cohort study" ]
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[CONTENT] fish consumption | pregnancy | preterm delivery | mercury [SUMMARY]
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[CONTENT] fish consumption | pregnancy | preterm delivery | mercury [SUMMARY]
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[CONTENT] fish consumption | pregnancy | preterm delivery | mercury [SUMMARY]
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[CONTENT] Animals | Environmental Monitoring | Epidemiological Monitoring | Female | Fishes | Food Contamination | Food Preservation | Hair | Humans | Maternal Exposure | Mercury | Michigan | Pregnancy | Premature Birth | Water Pollutants, Chemical [SUMMARY]
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[CONTENT] Animals | Environmental Monitoring | Epidemiological Monitoring | Female | Fishes | Food Contamination | Food Preservation | Hair | Humans | Maternal Exposure | Mercury | Michigan | Pregnancy | Premature Birth | Water Pollutants, Chemical [SUMMARY]
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[CONTENT] Animals | Environmental Monitoring | Epidemiological Monitoring | Female | Fishes | Food Contamination | Food Preservation | Hair | Humans | Maternal Exposure | Mercury | Michigan | Pregnancy | Premature Birth | Water Pollutants, Chemical [SUMMARY]
null
[CONTENT] included screening maternal | pregnancy hair levels | diseases pregnancy pouch | pregnancy hair mercury | pouch cohort study [SUMMARY]
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[CONTENT] included screening maternal | pregnancy hair levels | diseases pregnancy pouch | pregnancy hair mercury | pouch cohort study [SUMMARY]
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[CONTENT] included screening maternal | pregnancy hair levels | diseases pregnancy pouch | pregnancy hair mercury | pouch cohort study [SUMMARY]
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[CONTENT] fish | levels | mercury | women | hair | mercury levels | study | consumption | pregnancy | maternal [SUMMARY]
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[CONTENT] fish | levels | mercury | women | hair | mercury levels | study | consumption | pregnancy | maternal [SUMMARY]
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[CONTENT] fish | levels | mercury | women | hair | mercury levels | study | consumption | pregnancy | maternal [SUMMARY]
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[CONTENT] fish | months | consumption | shellfish | interview women | interview | fish shellfish | asked | fish fish | categories [SUMMARY]
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[CONTENT] fish | levels | mercury | mercury levels | months | consumption | table | μg | meals | women [SUMMARY]
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[CONTENT] fish | mercury | levels | hair | mercury levels | women | study | consumption | pregnancy | months [SUMMARY]
null
[CONTENT] [SUMMARY]
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[CONTENT] Mercury | 0.01 | 2.50 | 0.29 | 0.23 ||| ||| ||| 35 weeks' | 90th | 0.55 | 3.0 | 95% | 1.3-6.7 [SUMMARY]
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[CONTENT] ||| Community Health | the 15th to 27th week | 52 | five | Michigan ||| ||| 70-90% | 1,024 | POUCH ||| Mercury | 0.01 | 2.50 | 0.29 | 0.23 ||| ||| ||| 35 weeks' | 90th | 0.55 | 3.0 | 95% | 1.3-6.7 ||| first ||| [SUMMARY]
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Estimation of Neural Tissue Mobility in Breast Cancer Survivors with Lymphedema.
36308359
Lymphedema in breast cancer survivors is a very common condition which progressively may lead to entrapment  neuropathy. In lymphedema there is accumulation of fluid due to removal of lymph nodes which causes stretching of nerve fibres within the skin, compression on top of the nerve bundle leading to nerve entrapment. This will increase the neural mechanosensitivity and functional impairment of shoulder as a protective neural response to movement or traction.
BACKGROUND
This study was carried out by assessing the total 72 breast cancer survivor women, with lymphedema. Out of 72, 28 of women underwent lumpectomy, 12 underwent quadrantectomy and 32 underwent unilateral mastectomy.  These subjects were assessed for neural tissue mobility by taking pain assessment using visual analogue scale (VAS), range of motion (ROM) using goniometer, lymphedema measurement using an inch tape. The neural tissue mobility for  median nerve, ulnar nerve and radial nerve was measured using limb tension test.
METHODS
The result obtained from this study showed that neural tissue mobility was significantly impaired in breast cancer survivors with lymphedema. The result of the upper limb tension tests showed 32 women with mild lymphedema had median nerve affected on the involved side 54.1%, about  21 women had moderate lymphedema with 75% of women had median and 25% ulnar nerve affected with median nerve affected in majority of women. Only 19 women with severe lymphedema had all the three nerves affected.
RESULT
This study of women who have undergone surgical intervention for breast cancer concludes that there was significant amount of neural tissue impairment noted to mechanical provocation test post operatively after 6 months of surgery. The study suggests that severity of lymphedema was directly related to the nerves affected due to neural tissue impairment.
CONCLUSION
[ "Female", "Humans", "Breast Neoplasms", "Cancer Survivors", "Mastectomy", "Lymphedema", "Survivors", "Upper Extremity" ]
9924331
Introduction
Breast cancer is most commonly diagnosed and is the leading cause of cancer death among women worldwide (Blecher et al., 2011). It is common in Asian population and with an estimation of 1 in 7 women will develop breast cancer at some time in her life (Loh and Quek, 2011). The incidence of breast cancer (BC) among women has continued to increase within the last decade in spite of screening mammography and the reduction of mortality (Babasaheb et al., 2021). Breast cancer patients are managed with various surgical procedures such as radical mastectomy (RC), modified radical mastectomy (MRM) and breast conserving surgery (BCS) (De GRoef A et al., 2016). Axillary lymph node dissection (ALND), another method is commonly employed as a procedure for diagnosing and treating positive lymph nodes. However, several consequences may develop after breast surgery, ALND, radiation and chemotherapy, such as axillary web syndrome, frozen shoulder, numbness, shoulder pain and range of motion (ROM) restriction, lymphostasis, and lymphedema (Díaz I et al., 2017). Up to 77% report sensory disturbance in the breast or arm (Smoot B et al., 2014). These short- and long-term consequences have dramatic impact on physical function and quality of life in this population (Norman et al., 2009; Shinde and Patil , 2020; Smoot B et al., 2010). The lymphatic system has vessels which transport fluid and plasma proteins from interstitial tissue to the blood circulation. When the lymphatic drainage system is impaired draining of lymphatic fluid ceases to work and fluids accumulate in the tissue and therefore lymphedema occurs which may further lead to swelling (Johansson and Branje, 2010). This condition may be reversible and effective treatment includes compression bandaging, wearing a sleeve/glove, manual lymphatic drainage and pneumatic pumping (Johansson and Branje, 2010; Jaju and Shinde, 2019). If the oedema is allowed to progress without treatment the volume will increase, and the arm will get heavy and cause discomfort and pain(Johansson and Branje 2010; Casley-Smith JR, 1995). Breast cancer-related lymphedema results from impaired lymph transport due to surgical removal of or radiation-induced damage to axillary lymph nodes and lymphatic channels, which leads to accumulation of lymph in the UE, chest, or trunk (Smoot B et al., 2014). Neural tissue mobility also called as neuro dynamics which refers to the communication between the different parts of the nervous system and to the nervous system relationship to the musculoskeletal system. Neurodynamic in the sense implied here is the mobilisation of the nervous system as an approach to physical treatment of pain. This mobilisation activates a range of mechanical and physiological responses in nervous tissue such as neural sliding, pressurisation, elongation, tension and changes in intraneural microcirculation, axonal transport, and nervous impulse movements (Shacklock, 1995). Injuries to the nerve have been reported with axillary dissection which maybe a result of positional tractioning, forceful retraction, direct laceration or contusion of neural tissue during surgery. Nerve injury can also be due to entrapment or compression related to post-operative or radiation-induced fibrosis and scarring (Jare et al., 2019; Shinde 2020; Macdonald et al., 2005). Peripheral nerves when they are subjected to trauma they become “sensitized” less tolerant to the physical stresses (compression and stretch), imposed upon them during movement. The mechanisms responsible for development of neuropathic pain from cancer treatment may also affect the tolerance of the nervous system to movement. Additionally, peripheral nerves at risk during surgery or radiation may be subjected to higher physical stresses during movement due to compression or restrictions from adhesions and fibrosis (Smoot et al., 2014). There is no such study which shows the impact of lymphedema on neural tissue mobility. So, it is necessary to analyse whether the presence of lymphedema will have an effect on neural tissue mobility which may result in pain, numbness, tingling sensations, restrictions in range of motion of the upper limb while assessing the patient. Adverse neural tension may arise due to inflammation, nerve compression, or impaired blood supply to the area. This study will help add evidences on neural tissue mobility impairment that may happen due to varying severity of lymphedema. Various studies have suggested that neural structures sensitivity is increased due to provocative sequences of upper quadrant movements in in various upper limb pain syndromes. But there are no studies till the date which have assessed for whether the neural tissues become sensitive to such movements following surgery for breast cancer. Soft tissue structures mainly the contractile tissues noncontractile tissues and inert tissues were restricted and compressed during shortening and lengthening. The restrictive and compressive effect of lymphedema resulted in pain, limited mobility of joints as well as restricted neural tissue mobility. This study was conducted to estimate the changes in pain, upper limb mobility and strength in response to altered upper limb neural tissue mobility and mechano-sensitivity in breast cancer patients with lymphedema.
null
null
Results
Participant Characteristics of the Study: The total 72 Women aged between 30-80 years of age had undergone breast surgery and are undergoing either chemotherapy or radiation therapy. Out of 72, 28 (38%) of women underwent lumpectomy, 12 (16%) underwent quadrantectomy and 32 (44%) underwent unilateral mastectomy. The number of women who were taking a combination of radiation and chemotherapy was more 48 (66%) as compared to radiation and chemotherapy alone of 12 (16%) and 16 (22%) respectively. Women between the ages of 41-70 years were the more frequent cases. The participants were the members of breast cancer support group of tertiary care hospital in India. Pain The pain in upper limb during activities of daily living was consistent finding in all the participants. The pain assessment was carried out by using VAS scale during rest and during activity. The mean of pain on rest was 0.888+1.056 and during activity was 3.166+2.307. This finding indicate the mild intensity of pain was experienced by the participants during activities of daily living such as bathing or showering, dressing, getting in and out of bed or a chair, walking, using the toilet, and eating. This indicates soft tissue structures mainly the contractile tissues were restricted and compressed during shortening and lengthening. The restrictive and compressive effect of lymphedema resulted in pain. Shoulder Range of Motion The shoulder abduction range of motion was limited significantly followed by shoulder external rotation and shoulder flexion. Table 1 shows that Out of 72 women about 57.8% (SD= ±10.055) women has flexion limitation, 30% (SD= 5.756) women have extension limitation, 31.5% (SD= 9.936) women have abduction limitation and 20% (SD= 5.828) have adduction limitation. So more number of study participants showed limitations in shoulder flexion, extension and abduction. The shoulder joint movements are limited due primarily by the surgical complications of breast cancer surgeries and secondarily due to the restrictions imposed by lymphedema. Neural tissue mobility impairments The neural tissue mobility impairments were directly proportional with the severity of the lymphedema. Table 2 shows neural tissue mobility impairment in breast cancer survivors suffering from lymphedema. Subjects with mild lymphedema, had 48% of neural tissue mobility impairment, with moderate lymphedema, had 32% of neural tissue mobility impairment and with severe lymphedema, had 20% of neural tissue mobility impairment. Neural tissue mobility impairments of the three major nerves of the upper limb were assessed with ULTT and results are showed in Table 4. It showed the involvement of median, ulnar and radial nerve in breast cancer survivors. The result shows that median nerve was more affected in patients suffering from lymphedema 52%, followed by axillary nerve, musculo-cutaneous nerve, ulnar nerve and radial nerve. The lymphedema had resulted in significant neural tissue impairments of all the major nerves of the upper limb. The dependent position of upper limb in the erect standing position resulted in the neural tissue impairments of the distal most structures. Mainly the hand and distal forearm were sites for symptoms of compressive neuropathy. The major portion of hand is supplied by the median and ulnar nerves. Table 3. shows that women with mild lymphedema had median nerve affected more on the involved side i.e. 54.1% then ulnar nerve was affected i.e.13% , subjects with moderate lymphedema had 75% of median and 25% of ulnar nerve affected with median nerve affected in majority of women. Also, women with severe lymphedema had all the three nerves affected i.e., median (50%), radial (20%) and ulnar (10%) Range OF Motion of Shoulder Joint Patients with Neural Tissue Mobility Impairments Suffering from Lymphedema Neural Tissue Mobility Involvement According to Severity of Lymphedema Neural Tissue Mobility Involvement According to Severity of Lymphedema Upper Limb Tension Test
Conclusion
Joshi Devanshi conducted literature review for this manuscript, developed an introduction section of manuscript, conducted the discussion of the study, findings, collected data and analysed the data. Dr. Shinde Sandeep provided a description of the background information, collected data and analysed the data and participated in prescription of the manuscript, all the authors read and approved the final manuscript.
[ "Conclusion" ]
[ "This study of women who have undergone surgical intervention for breast cancer concludes that there was significant amount of neural tissue impairment noted to mechanical provocation test post operatively after 6 months of surgery. The study suggests that severity of lymphedema was directly related to the nerves affected due to neural tissue impairment. Neural tissue mobility impairments should be assessed in women with lymphedema following the treatment of breast cancer. It should be assessed bilaterally for correlation of the symptoms. Therapists need to integrate the findings of neural tissue mobility impairments into the rehabilitation program for breast cancer survivors with pain and lymphedema for better quality of life." ]
[ null ]
[ "Introduction", "Materials and Methods", "Results", "Discussion", "Conclusion" ]
[ "Breast cancer is most commonly diagnosed and is the leading cause of cancer death among women worldwide (Blecher et al., 2011). It is common in Asian population and with an estimation of 1 in 7 women will develop breast cancer at some time in her life (Loh and Quek, 2011). The incidence of breast cancer (BC) among women has continued to increase within the last decade in spite of screening mammography and the reduction of mortality (Babasaheb et al., 2021). Breast cancer patients are managed with various surgical procedures such as radical mastectomy (RC), modified radical mastectomy (MRM) and breast conserving surgery (BCS) (De GRoef A et al., 2016). Axillary lymph node dissection (ALND), another method is commonly employed as a procedure for diagnosing and treating positive lymph nodes.\nHowever, several consequences may develop after breast surgery, ALND, radiation and chemotherapy, such as axillary web syndrome, frozen shoulder, numbness, shoulder pain and range of motion (ROM) restriction, lymphostasis, and lymphedema (Díaz I et al., 2017). Up to 77% report sensory disturbance in the breast or arm (Smoot B et al., 2014). These short- and long-term consequences have dramatic impact on physical function and quality of life in this population (Norman et al., 2009; Shinde and Patil , 2020; Smoot B et al., 2010).\nThe lymphatic system has vessels which transport fluid and plasma proteins from interstitial tissue to the blood circulation. When the lymphatic drainage system is impaired draining of lymphatic fluid ceases to work and fluids accumulate in the tissue and therefore lymphedema occurs which may further lead to swelling (Johansson and Branje, 2010). This condition may be reversible and effective treatment includes compression bandaging, wearing a sleeve/glove, manual lymphatic drainage and pneumatic pumping (Johansson and Branje, 2010; Jaju and Shinde, 2019). If the oedema is allowed to progress without treatment the volume will increase, and the arm will get heavy and cause discomfort and pain(Johansson and Branje 2010; Casley-Smith JR, 1995). Breast cancer-related lymphedema results from impaired lymph transport due to surgical removal of or radiation-induced damage to axillary lymph nodes and lymphatic channels, which leads to accumulation of lymph in the UE, chest, or trunk (Smoot B et al., 2014).\nNeural tissue mobility also called as neuro dynamics which refers to the communication between the different parts of the nervous system and to the nervous system relationship to the musculoskeletal system. Neurodynamic in the sense implied here is the mobilisation of the nervous system as an approach to physical treatment of pain. This mobilisation activates a range of mechanical and physiological responses in nervous tissue such as neural sliding, pressurisation, elongation, tension and changes in intraneural microcirculation, axonal transport, and nervous impulse movements (Shacklock, 1995).\nInjuries to the nerve have been reported with axillary dissection which maybe a result of positional tractioning, forceful retraction, direct laceration or contusion of neural tissue during surgery. Nerve injury can also be due to entrapment or compression related to post-operative or radiation-induced fibrosis and scarring (Jare et al., 2019; Shinde 2020; Macdonald et al., 2005). Peripheral nerves when they are subjected to trauma they become “sensitized” less tolerant to the physical stresses (compression and stretch), imposed upon them during movement. The mechanisms responsible for development of neuropathic pain from cancer treatment may also affect the tolerance of the nervous system to movement. Additionally, peripheral nerves at risk during surgery or radiation may be subjected to higher physical stresses during movement due to compression or restrictions from adhesions and fibrosis (Smoot et al., 2014).\nThere is no such study which shows the impact of lymphedema on neural tissue mobility. So, it is necessary to analyse whether the presence of lymphedema will have an effect on neural tissue mobility which may result in pain, numbness, tingling sensations, restrictions in range of motion of the upper limb while assessing the patient. Adverse neural tension may arise due to inflammation, nerve compression, or impaired blood supply to the area. This study will help add evidences on neural tissue mobility impairment that may happen due to varying severity of lymphedema. Various studies have suggested that neural structures sensitivity is increased due to provocative sequences of upper quadrant movements in in various upper limb pain syndromes. But there are no studies till the date which have assessed for whether the neural tissues become sensitive to such movements following surgery for breast cancer. Soft tissue structures mainly the contractile tissues noncontractile tissues and inert tissues were restricted and compressed during shortening and lengthening. The restrictive and compressive effect of lymphedema resulted in pain, limited mobility of joints as well as restricted neural tissue mobility.\nThis study was conducted to estimate the changes in pain, upper limb mobility and strength in response to altered upper limb neural tissue mobility and mechano-sensitivity in breast cancer patients with lymphedema. ", "This study was done in a breast cancer survivor support group of Tertiary care hospital in India. The patients who were included in the study had undergone lumpectomy, quadrantectomy and unilateral mastectomy 6 months before entering into this study and suffering from lymphedema. Age group was ranged from 30 to 80 years old women. The subjects excluded from the study were male cancer survivors and patients who have undergone bilateral breast cancer, breast surgery for cosmetic reasons or prophylactic mastectomy, other medical conditions (e.g., arthritis and fibromyalgia syndrome) and recurrent cancer. Before starting the study, all the participants were informed about the study procedure with a written informed consent obtained from each participant. The study was ethically cleared by the Ethical Committee of Krishna Institute of Medical Sciences. Total 72 breast cancer survivor women suffering from lymphedema, who had undergone either lumpectomy, quadrantectomy, unilateral mastectomy 6 months ago and those who are undergoing either radiation therapy, chemotherapy or both were included in this study. The demographic data and past surgical history were taken from subjects prior to the assessment of the condition.\n\nData Collection Tools \n\nPain Intensity: An 11-point numerical rating scale (0 = no pain; 10 = maximum pain) was used to assess the intensity of spontaneous neck and shoulder/axillary pain. The patients were asked to not take any analgesics or muscle relaxants 24 hours prior to the assessment. \nRange of motion for shoulder was measured by using goniometer. Shoulder movements including flexion, extension, abduction and adduction were assessed.\nMeasurement of lymphedema was done on the affected upper extremity (usually the one which was operated) and also comparison was done with non-affected side. The lymphedema was measured using an inch tape for segregation of the subjects into mild, moderate, severe lymphedema.\nNeural tissue mobility was assessed using the neurodynamic tests for upper limb. ULNTs for the median (ULNT1MEDIAN), Median bias (ULNT2 MEDIAN BIAS), radial (ULNT3 RADIAL), and ulnar nerves (ULNT 4 ULNAR) were performed according to the process described by Butler. (Butler MW, Karagiannopoulos C, Galantino ML, Mastrangelo MA 2019) The patients were in a supine position without a pillow under the head or knees and the legs were uncrossed. The head was in neutral rotation, and the hand of the unaffected arm rested on the side. All the tests were performed on both sides in standardized sequence until the end of range or until the symptoms were reproduced. Before performing the tests, the patients were instructed about communicating the onset of any sensation such as pain or stretch in the areas of the arm and neck. The subject’s pain and other symptoms were taken into consideration. The tests were first carried on the unaffected side and then on the affected side. If the patient did not experience pain or any other sensation, the test was further continued with the elbow extension or the shoulder abduction to the normal end of range. The tests were ceased when the patient experienced, at least some symptoms such as the shoulder girdle attempted to elevate, or when muscular resistance to movement was found.\n\nStatistical analysis\n\nThe data collected was statistically analysed using descriptive statistics as mean, percentage and standard deviation. The shoulder mobility of the affected side was analysed and calculated by range of motion. Pain distribution was analysed and calculated using the standard deviation. For lymphedema, girth was measured using an inch tape and analysed by calculating the percentage. The results for upper limb tension test were analysed for radial nerve, median nerve and ulnar nerve.", "Participant Characteristics of the Study: The total 72 Women aged between 30-80 years of age had undergone breast surgery and are undergoing either chemotherapy or radiation therapy. Out of 72, 28 (38%) of women underwent lumpectomy, 12 (16%) underwent quadrantectomy and 32 (44%) underwent unilateral mastectomy. The number of women who were taking a combination of radiation and chemotherapy was more 48 (66%) as compared to radiation and chemotherapy alone of 12 (16%) and 16 (22%) respectively. Women between the ages of 41-70 years were the more frequent cases. The participants were the members of breast cancer support group of tertiary care hospital in India.\n\nPain\n\nThe pain in upper limb during activities of daily living was consistent finding in all the participants. The pain assessment was carried out by using VAS scale during rest and during activity. The mean of pain on rest was 0.888+1.056 and during activity was 3.166+2.307. This finding indicate the mild intensity of pain was experienced by the participants during activities of daily living such as bathing or showering, dressing, getting in and out of bed or a chair, walking, using the toilet, and eating. This indicates soft tissue structures mainly the contractile tissues were restricted and compressed during shortening and lengthening. The restrictive and compressive effect of lymphedema resulted in pain.\n\nShoulder Range of Motion\n\nThe shoulder abduction range of motion was limited significantly followed by shoulder external rotation and shoulder flexion. Table 1 shows that Out of 72 women about 57.8% (SD= ±10.055) women has flexion limitation, 30% (SD= 5.756) women have extension limitation, 31.5% (SD= 9.936) women have abduction limitation and 20% (SD= 5.828) have adduction limitation. So more number of study participants showed limitations in shoulder flexion, extension and abduction. The shoulder joint movements are limited due primarily by the surgical complications of breast cancer surgeries and secondarily due to the restrictions imposed by lymphedema.\n\nNeural tissue mobility impairments\n\nThe neural tissue mobility impairments were directly proportional with the severity of the lymphedema. Table 2 shows neural tissue mobility impairment in breast cancer survivors suffering from lymphedema. Subjects with mild lymphedema, had 48% of neural tissue mobility impairment, with moderate lymphedema, had 32% of neural tissue mobility impairment and with severe lymphedema, had 20% of neural tissue mobility impairment. Neural tissue mobility impairments of the three major nerves of the upper limb were assessed with ULTT and results are showed in Table 4. It showed the involvement of median, ulnar and radial nerve in breast cancer survivors. The result shows that median nerve was more affected in patients suffering from lymphedema 52%, followed by axillary nerve, musculo-cutaneous nerve, ulnar nerve and radial nerve. The lymphedema had resulted in significant neural tissue impairments of all the major nerves of the upper limb. The dependent position of upper limb in the erect standing position resulted in the neural tissue impairments of the distal most structures. Mainly the hand and distal forearm were sites for symptoms of compressive neuropathy. The major portion of hand is supplied by the median and ulnar nerves. Table 3. shows that women with mild lymphedema had median nerve affected more on the involved side i.e. 54.1% then ulnar nerve was affected i.e.13% , subjects with moderate lymphedema had 75% of median and 25% of ulnar nerve affected with median nerve affected in majority of women. Also, women with severe lymphedema had all the three nerves affected i.e., median (50%), radial (20%) and ulnar (10%)\nRange OF Motion of Shoulder Joint\nPatients with Neural Tissue Mobility Impairments Suffering from Lymphedema\nNeural Tissue Mobility Involvement According to Severity of Lymphedema\nNeural Tissue Mobility Involvement According to Severity of Lymphedema\nUpper Limb Tension Test", "In this study was focused on the effect of lymphedema in breast cancer survivors on neural tissue mobility. Breast cancer survivors after breast surgery, ALND, radiation and chemotherapy may develop axillary web syndrome, frozen shoulder, numbness, shoulder pain and range of motion restriction, lymphostasis and lymphedema. Up to 77% report sensory disturbance in breast or arm (Smoot et al., 2014).\nMany studies report that most cases of lymphedema develop during the first 1-2 years after primary treatment (Schunemann and Willich 1997; Clark, et al., 2005; Kiel and Rademacker 1996). The conducted study interpreted whether lymphedema was present or not, neural tissue mobility persists in most of the breast cancer survivors. Measurement of lymphedema was done on the affected upper extremity (usually the one which was operated) and also comparison was done with non-affected side. Lymphedema was assessed with the help of inch tape and the results were analysed on the basis of mild, moderate and severe. Eleven women had not removed the arm sleeve prior to examination, but eight of them still complied with the definition of lymphedema, so that the procedure violation hardly affected the assessment of lymphedema and also while performing the upper limb tension test. \nThe result of this study showed that women had more of mild lymphedema (32%). Norman et al., (2009) in their study of lymphedema in breast cancer survivors stated that after breast cancer lymphedema is common but mostly mild type. On self-examination differences observed in hand/arm size and symptoms can be early signs of progressing lymphedema. The results also showed that women who had mild lymphedema were three times more likely to develop moderate or severe lymphedema than women with no lymphedema.\nPain was assessed using Visual Analogue Scale (VAS) for assessing intensity of the neck pain or shoulder or axillary pain. The results showed that pain was experienced more on activity of shoulder and there was relief at rest irrespective of the presence of lymphedema. In Caro-Morán et al., (2014) study of Nerve pressure pain hypersensitivity and upper limb mechanosensitivity in breast cancer survivors it was found bilaterally and widespread nervous hypersensitivity in breast cancer survivors as compared to healthy controls, which were expressed as significantly decreased pressure pain threshold level over the median, radial and ulnar nerve trunks. All the participants in the patient group showed decrease range of flexion and abduction of shoulder. Patient showed mechano-sensitivity in the upper extremity of the affected side as compared to the healthy controls, as demonstrated by a statistically significant reduced range of motion in elbow extension and shoulder abduction during ULNTs for the median, radial and ulnar nerves.\nThe results of our study showed decrease in range of motion of shoulder flexion and abduction as compared to other movements. Range of motion was assessed using goniometer. Using the VAS pain assessment was taken and it was observed that patients with pain also had restricted range of motion. In some studies, it was stated that the chemotherapy or radiation therapy can cause peripheral neuropathy due to sensory axonal damage, with reduced amplitude of sensory nerve action potentials and changes in afferent activity, leading to widespread pain sensitivity (Wampler, 2006; Wolf, 2008; Argryriou, 2012; Partridge 2004). Smoot et al., in their study of upper extremity impairments in women with or without lymphedema following breast cancer treatment stated that approx. 5-42% of breast cancer survivors develop lymphedema and 47% of have persistent pain.\nThere are no studies which show the impact of lymphedema on neural tissue mobility. So, it was necessary to analyse whether the presence of lymphedema had an effect on neural tissue mobility which may result in pain, numbness, tingling sensations, restrictions in range of motion of the upper limb while assessing the patient. The result of this study showed that women who were breast cancer survivors had mild lymphedema and had more neural tissue impairment then moderate or severe lymphedema women. The observational studies described an increased neural mechano-sensitivity using the upper limb neurodynamic test 1 (ULNT1) in Breast cancer survivors. This increased neural mechano-sensitivity, may arise after nerve damage and lead to shoulder ROM restriction as a protective neural response to movement or traction. Our study witnessed the reduced range of motion in patients with lymphedema. This states that lymphedema also has an effect on range of motion along with the pain factor. Kelley and Jull (1998), who assessed mechanosensitivity of Upper extremity neural tissue in 20 women with one side breast cancer, before and 6 weeks after Breast cancer surgery found that shoulder abduction ROM during the Upper Limb Tension Test 2 median nerve was reduced on the surgical side.\nThe upper limb tension test was performed for all the three nerves median, radial and ulnar for assessing the neural tissue mobility in breast cancer survivors. It was observed in our study that the extent of neural tissue mobility impairment was based on the severity of lymphedema and the nerves affected. None of the previous studies shows the extent of neural tissue mobility in relation to lymphedema. One study shows the mechano-sensitivity in women after breast cancer treatment and found significant reductions in elbow extension ROM during ULNTMEDIAN in patients with pain and lymphedema, though the results were not significant in patients with pain but without lymphedema. This study specifically supports the information about which nerve is affected more in patients with lymphedema (Caro-Moran E, et al., 2014). \nThere were some limitations recognised in this study during the period of study. Range of motion for elbow and wrist are not assessed along with the internal and external rotation of the shoulder joint which can be assessed and noted for future studies. In addition, the study design does not provide information about the possible cause-effect relationship between the lymphedema and the neural tissue mobility impairment. The findings of the current study show the need for rehabilitation programs for the specific treatment of neural tissue mobility impairment in breast cancer survivors and not only targeted to muscular tissue. In view of our results, the health care providers should also look for neural tissue mobility impairments in breast cancer survivors to design rehabilitation programs that take into account the neural component of pain along with lymphedema post-surgical interventions and chemotherapies in this population.\n Conclusion This study of women who have undergone surgical intervention for breast cancer concludes that there was significant amount of neural tissue impairment noted to mechanical provocation test post operatively after 6 months of surgery. The study suggests that severity of lymphedema was directly related to the nerves affected due to neural tissue impairment. Neural tissue mobility impairments should be assessed in women with lymphedema following the treatment of breast cancer. It should be assessed bilaterally for correlation of the symptoms. Therapists need to integrate the findings of neural tissue mobility impairments into the rehabilitation program for breast cancer survivors with pain and lymphedema for better quality of life.\nThis study of women who have undergone surgical intervention for breast cancer concludes that there was significant amount of neural tissue impairment noted to mechanical provocation test post operatively after 6 months of surgery. The study suggests that severity of lymphedema was directly related to the nerves affected due to neural tissue impairment. Neural tissue mobility impairments should be assessed in women with lymphedema following the treatment of breast cancer. It should be assessed bilaterally for correlation of the symptoms. Therapists need to integrate the findings of neural tissue mobility impairments into the rehabilitation program for breast cancer survivors with pain and lymphedema for better quality of life.\n Abbreviations ALND: Axillary Lymph Node Dissection\nROM: Range of Motion\nBC: Breast cancer\nULNT: Upper Limb Neurodynamic Test\nALND: Axillary Lymph Node Dissection\nROM: Range of Motion\nBC: Breast cancer\nULNT: Upper Limb Neurodynamic Test", "This study of women who have undergone surgical intervention for breast cancer concludes that there was significant amount of neural tissue impairment noted to mechanical provocation test post operatively after 6 months of surgery. The study suggests that severity of lymphedema was directly related to the nerves affected due to neural tissue impairment. Neural tissue mobility impairments should be assessed in women with lymphedema following the treatment of breast cancer. It should be assessed bilaterally for correlation of the symptoms. Therapists need to integrate the findings of neural tissue mobility impairments into the rehabilitation program for breast cancer survivors with pain and lymphedema for better quality of life." ]
[ "intro", "materials|methods", "results", "discussion", null ]
[ "Lymphedema", "neural tissue impairment", "visual Analogue scale", "upper limb tension test" ]
Introduction: Breast cancer is most commonly diagnosed and is the leading cause of cancer death among women worldwide (Blecher et al., 2011). It is common in Asian population and with an estimation of 1 in 7 women will develop breast cancer at some time in her life (Loh and Quek, 2011). The incidence of breast cancer (BC) among women has continued to increase within the last decade in spite of screening mammography and the reduction of mortality (Babasaheb et al., 2021). Breast cancer patients are managed with various surgical procedures such as radical mastectomy (RC), modified radical mastectomy (MRM) and breast conserving surgery (BCS) (De GRoef A et al., 2016). Axillary lymph node dissection (ALND), another method is commonly employed as a procedure for diagnosing and treating positive lymph nodes. However, several consequences may develop after breast surgery, ALND, radiation and chemotherapy, such as axillary web syndrome, frozen shoulder, numbness, shoulder pain and range of motion (ROM) restriction, lymphostasis, and lymphedema (Díaz I et al., 2017). Up to 77% report sensory disturbance in the breast or arm (Smoot B et al., 2014). These short- and long-term consequences have dramatic impact on physical function and quality of life in this population (Norman et al., 2009; Shinde and Patil , 2020; Smoot B et al., 2010). The lymphatic system has vessels which transport fluid and plasma proteins from interstitial tissue to the blood circulation. When the lymphatic drainage system is impaired draining of lymphatic fluid ceases to work and fluids accumulate in the tissue and therefore lymphedema occurs which may further lead to swelling (Johansson and Branje, 2010). This condition may be reversible and effective treatment includes compression bandaging, wearing a sleeve/glove, manual lymphatic drainage and pneumatic pumping (Johansson and Branje, 2010; Jaju and Shinde, 2019). If the oedema is allowed to progress without treatment the volume will increase, and the arm will get heavy and cause discomfort and pain(Johansson and Branje 2010; Casley-Smith JR, 1995). Breast cancer-related lymphedema results from impaired lymph transport due to surgical removal of or radiation-induced damage to axillary lymph nodes and lymphatic channels, which leads to accumulation of lymph in the UE, chest, or trunk (Smoot B et al., 2014). Neural tissue mobility also called as neuro dynamics which refers to the communication between the different parts of the nervous system and to the nervous system relationship to the musculoskeletal system. Neurodynamic in the sense implied here is the mobilisation of the nervous system as an approach to physical treatment of pain. This mobilisation activates a range of mechanical and physiological responses in nervous tissue such as neural sliding, pressurisation, elongation, tension and changes in intraneural microcirculation, axonal transport, and nervous impulse movements (Shacklock, 1995). Injuries to the nerve have been reported with axillary dissection which maybe a result of positional tractioning, forceful retraction, direct laceration or contusion of neural tissue during surgery. Nerve injury can also be due to entrapment or compression related to post-operative or radiation-induced fibrosis and scarring (Jare et al., 2019; Shinde 2020; Macdonald et al., 2005). Peripheral nerves when they are subjected to trauma they become “sensitized” less tolerant to the physical stresses (compression and stretch), imposed upon them during movement. The mechanisms responsible for development of neuropathic pain from cancer treatment may also affect the tolerance of the nervous system to movement. Additionally, peripheral nerves at risk during surgery or radiation may be subjected to higher physical stresses during movement due to compression or restrictions from adhesions and fibrosis (Smoot et al., 2014). There is no such study which shows the impact of lymphedema on neural tissue mobility. So, it is necessary to analyse whether the presence of lymphedema will have an effect on neural tissue mobility which may result in pain, numbness, tingling sensations, restrictions in range of motion of the upper limb while assessing the patient. Adverse neural tension may arise due to inflammation, nerve compression, or impaired blood supply to the area. This study will help add evidences on neural tissue mobility impairment that may happen due to varying severity of lymphedema. Various studies have suggested that neural structures sensitivity is increased due to provocative sequences of upper quadrant movements in in various upper limb pain syndromes. But there are no studies till the date which have assessed for whether the neural tissues become sensitive to such movements following surgery for breast cancer. Soft tissue structures mainly the contractile tissues noncontractile tissues and inert tissues were restricted and compressed during shortening and lengthening. The restrictive and compressive effect of lymphedema resulted in pain, limited mobility of joints as well as restricted neural tissue mobility. This study was conducted to estimate the changes in pain, upper limb mobility and strength in response to altered upper limb neural tissue mobility and mechano-sensitivity in breast cancer patients with lymphedema. Materials and Methods: This study was done in a breast cancer survivor support group of Tertiary care hospital in India. The patients who were included in the study had undergone lumpectomy, quadrantectomy and unilateral mastectomy 6 months before entering into this study and suffering from lymphedema. Age group was ranged from 30 to 80 years old women. The subjects excluded from the study were male cancer survivors and patients who have undergone bilateral breast cancer, breast surgery for cosmetic reasons or prophylactic mastectomy, other medical conditions (e.g., arthritis and fibromyalgia syndrome) and recurrent cancer. Before starting the study, all the participants were informed about the study procedure with a written informed consent obtained from each participant. The study was ethically cleared by the Ethical Committee of Krishna Institute of Medical Sciences. Total 72 breast cancer survivor women suffering from lymphedema, who had undergone either lumpectomy, quadrantectomy, unilateral mastectomy 6 months ago and those who are undergoing either radiation therapy, chemotherapy or both were included in this study. The demographic data and past surgical history were taken from subjects prior to the assessment of the condition. Data Collection Tools Pain Intensity: An 11-point numerical rating scale (0 = no pain; 10 = maximum pain) was used to assess the intensity of spontaneous neck and shoulder/axillary pain. The patients were asked to not take any analgesics or muscle relaxants 24 hours prior to the assessment. Range of motion for shoulder was measured by using goniometer. Shoulder movements including flexion, extension, abduction and adduction were assessed. Measurement of lymphedema was done on the affected upper extremity (usually the one which was operated) and also comparison was done with non-affected side. The lymphedema was measured using an inch tape for segregation of the subjects into mild, moderate, severe lymphedema. Neural tissue mobility was assessed using the neurodynamic tests for upper limb. ULNTs for the median (ULNT1MEDIAN), Median bias (ULNT2 MEDIAN BIAS), radial (ULNT3 RADIAL), and ulnar nerves (ULNT 4 ULNAR) were performed according to the process described by Butler. (Butler MW, Karagiannopoulos C, Galantino ML, Mastrangelo MA 2019) The patients were in a supine position without a pillow under the head or knees and the legs were uncrossed. The head was in neutral rotation, and the hand of the unaffected arm rested on the side. All the tests were performed on both sides in standardized sequence until the end of range or until the symptoms were reproduced. Before performing the tests, the patients were instructed about communicating the onset of any sensation such as pain or stretch in the areas of the arm and neck. The subject’s pain and other symptoms were taken into consideration. The tests were first carried on the unaffected side and then on the affected side. If the patient did not experience pain or any other sensation, the test was further continued with the elbow extension or the shoulder abduction to the normal end of range. The tests were ceased when the patient experienced, at least some symptoms such as the shoulder girdle attempted to elevate, or when muscular resistance to movement was found. Statistical analysis The data collected was statistically analysed using descriptive statistics as mean, percentage and standard deviation. The shoulder mobility of the affected side was analysed and calculated by range of motion. Pain distribution was analysed and calculated using the standard deviation. For lymphedema, girth was measured using an inch tape and analysed by calculating the percentage. The results for upper limb tension test were analysed for radial nerve, median nerve and ulnar nerve. Results: Participant Characteristics of the Study: The total 72 Women aged between 30-80 years of age had undergone breast surgery and are undergoing either chemotherapy or radiation therapy. Out of 72, 28 (38%) of women underwent lumpectomy, 12 (16%) underwent quadrantectomy and 32 (44%) underwent unilateral mastectomy. The number of women who were taking a combination of radiation and chemotherapy was more 48 (66%) as compared to radiation and chemotherapy alone of 12 (16%) and 16 (22%) respectively. Women between the ages of 41-70 years were the more frequent cases. The participants were the members of breast cancer support group of tertiary care hospital in India. Pain The pain in upper limb during activities of daily living was consistent finding in all the participants. The pain assessment was carried out by using VAS scale during rest and during activity. The mean of pain on rest was 0.888+1.056 and during activity was 3.166+2.307. This finding indicate the mild intensity of pain was experienced by the participants during activities of daily living such as bathing or showering, dressing, getting in and out of bed or a chair, walking, using the toilet, and eating. This indicates soft tissue structures mainly the contractile tissues were restricted and compressed during shortening and lengthening. The restrictive and compressive effect of lymphedema resulted in pain. Shoulder Range of Motion The shoulder abduction range of motion was limited significantly followed by shoulder external rotation and shoulder flexion. Table 1 shows that Out of 72 women about 57.8% (SD= ±10.055) women has flexion limitation, 30% (SD= 5.756) women have extension limitation, 31.5% (SD= 9.936) women have abduction limitation and 20% (SD= 5.828) have adduction limitation. So more number of study participants showed limitations in shoulder flexion, extension and abduction. The shoulder joint movements are limited due primarily by the surgical complications of breast cancer surgeries and secondarily due to the restrictions imposed by lymphedema. Neural tissue mobility impairments The neural tissue mobility impairments were directly proportional with the severity of the lymphedema. Table 2 shows neural tissue mobility impairment in breast cancer survivors suffering from lymphedema. Subjects with mild lymphedema, had 48% of neural tissue mobility impairment, with moderate lymphedema, had 32% of neural tissue mobility impairment and with severe lymphedema, had 20% of neural tissue mobility impairment. Neural tissue mobility impairments of the three major nerves of the upper limb were assessed with ULTT and results are showed in Table 4. It showed the involvement of median, ulnar and radial nerve in breast cancer survivors. The result shows that median nerve was more affected in patients suffering from lymphedema 52%, followed by axillary nerve, musculo-cutaneous nerve, ulnar nerve and radial nerve. The lymphedema had resulted in significant neural tissue impairments of all the major nerves of the upper limb. The dependent position of upper limb in the erect standing position resulted in the neural tissue impairments of the distal most structures. Mainly the hand and distal forearm were sites for symptoms of compressive neuropathy. The major portion of hand is supplied by the median and ulnar nerves. Table 3. shows that women with mild lymphedema had median nerve affected more on the involved side i.e. 54.1% then ulnar nerve was affected i.e.13% , subjects with moderate lymphedema had 75% of median and 25% of ulnar nerve affected with median nerve affected in majority of women. Also, women with severe lymphedema had all the three nerves affected i.e., median (50%), radial (20%) and ulnar (10%) Range OF Motion of Shoulder Joint Patients with Neural Tissue Mobility Impairments Suffering from Lymphedema Neural Tissue Mobility Involvement According to Severity of Lymphedema Neural Tissue Mobility Involvement According to Severity of Lymphedema Upper Limb Tension Test Discussion: In this study was focused on the effect of lymphedema in breast cancer survivors on neural tissue mobility. Breast cancer survivors after breast surgery, ALND, radiation and chemotherapy may develop axillary web syndrome, frozen shoulder, numbness, shoulder pain and range of motion restriction, lymphostasis and lymphedema. Up to 77% report sensory disturbance in breast or arm (Smoot et al., 2014). Many studies report that most cases of lymphedema develop during the first 1-2 years after primary treatment (Schunemann and Willich 1997; Clark, et al., 2005; Kiel and Rademacker 1996). The conducted study interpreted whether lymphedema was present or not, neural tissue mobility persists in most of the breast cancer survivors. Measurement of lymphedema was done on the affected upper extremity (usually the one which was operated) and also comparison was done with non-affected side. Lymphedema was assessed with the help of inch tape and the results were analysed on the basis of mild, moderate and severe. Eleven women had not removed the arm sleeve prior to examination, but eight of them still complied with the definition of lymphedema, so that the procedure violation hardly affected the assessment of lymphedema and also while performing the upper limb tension test. The result of this study showed that women had more of mild lymphedema (32%). Norman et al., (2009) in their study of lymphedema in breast cancer survivors stated that after breast cancer lymphedema is common but mostly mild type. On self-examination differences observed in hand/arm size and symptoms can be early signs of progressing lymphedema. The results also showed that women who had mild lymphedema were three times more likely to develop moderate or severe lymphedema than women with no lymphedema. Pain was assessed using Visual Analogue Scale (VAS) for assessing intensity of the neck pain or shoulder or axillary pain. The results showed that pain was experienced more on activity of shoulder and there was relief at rest irrespective of the presence of lymphedema. In Caro-Morán et al., (2014) study of Nerve pressure pain hypersensitivity and upper limb mechanosensitivity in breast cancer survivors it was found bilaterally and widespread nervous hypersensitivity in breast cancer survivors as compared to healthy controls, which were expressed as significantly decreased pressure pain threshold level over the median, radial and ulnar nerve trunks. All the participants in the patient group showed decrease range of flexion and abduction of shoulder. Patient showed mechano-sensitivity in the upper extremity of the affected side as compared to the healthy controls, as demonstrated by a statistically significant reduced range of motion in elbow extension and shoulder abduction during ULNTs for the median, radial and ulnar nerves. The results of our study showed decrease in range of motion of shoulder flexion and abduction as compared to other movements. Range of motion was assessed using goniometer. Using the VAS pain assessment was taken and it was observed that patients with pain also had restricted range of motion. In some studies, it was stated that the chemotherapy or radiation therapy can cause peripheral neuropathy due to sensory axonal damage, with reduced amplitude of sensory nerve action potentials and changes in afferent activity, leading to widespread pain sensitivity (Wampler, 2006; Wolf, 2008; Argryriou, 2012; Partridge 2004). Smoot et al., in their study of upper extremity impairments in women with or without lymphedema following breast cancer treatment stated that approx. 5-42% of breast cancer survivors develop lymphedema and 47% of have persistent pain. There are no studies which show the impact of lymphedema on neural tissue mobility. So, it was necessary to analyse whether the presence of lymphedema had an effect on neural tissue mobility which may result in pain, numbness, tingling sensations, restrictions in range of motion of the upper limb while assessing the patient. The result of this study showed that women who were breast cancer survivors had mild lymphedema and had more neural tissue impairment then moderate or severe lymphedema women. The observational studies described an increased neural mechano-sensitivity using the upper limb neurodynamic test 1 (ULNT1) in Breast cancer survivors. This increased neural mechano-sensitivity, may arise after nerve damage and lead to shoulder ROM restriction as a protective neural response to movement or traction. Our study witnessed the reduced range of motion in patients with lymphedema. This states that lymphedema also has an effect on range of motion along with the pain factor. Kelley and Jull (1998), who assessed mechanosensitivity of Upper extremity neural tissue in 20 women with one side breast cancer, before and 6 weeks after Breast cancer surgery found that shoulder abduction ROM during the Upper Limb Tension Test 2 median nerve was reduced on the surgical side. The upper limb tension test was performed for all the three nerves median, radial and ulnar for assessing the neural tissue mobility in breast cancer survivors. It was observed in our study that the extent of neural tissue mobility impairment was based on the severity of lymphedema and the nerves affected. None of the previous studies shows the extent of neural tissue mobility in relation to lymphedema. One study shows the mechano-sensitivity in women after breast cancer treatment and found significant reductions in elbow extension ROM during ULNTMEDIAN in patients with pain and lymphedema, though the results were not significant in patients with pain but without lymphedema. This study specifically supports the information about which nerve is affected more in patients with lymphedema (Caro-Moran E, et al., 2014). There were some limitations recognised in this study during the period of study. Range of motion for elbow and wrist are not assessed along with the internal and external rotation of the shoulder joint which can be assessed and noted for future studies. In addition, the study design does not provide information about the possible cause-effect relationship between the lymphedema and the neural tissue mobility impairment. The findings of the current study show the need for rehabilitation programs for the specific treatment of neural tissue mobility impairment in breast cancer survivors and not only targeted to muscular tissue. In view of our results, the health care providers should also look for neural tissue mobility impairments in breast cancer survivors to design rehabilitation programs that take into account the neural component of pain along with lymphedema post-surgical interventions and chemotherapies in this population. Conclusion This study of women who have undergone surgical intervention for breast cancer concludes that there was significant amount of neural tissue impairment noted to mechanical provocation test post operatively after 6 months of surgery. The study suggests that severity of lymphedema was directly related to the nerves affected due to neural tissue impairment. Neural tissue mobility impairments should be assessed in women with lymphedema following the treatment of breast cancer. It should be assessed bilaterally for correlation of the symptoms. Therapists need to integrate the findings of neural tissue mobility impairments into the rehabilitation program for breast cancer survivors with pain and lymphedema for better quality of life. This study of women who have undergone surgical intervention for breast cancer concludes that there was significant amount of neural tissue impairment noted to mechanical provocation test post operatively after 6 months of surgery. The study suggests that severity of lymphedema was directly related to the nerves affected due to neural tissue impairment. Neural tissue mobility impairments should be assessed in women with lymphedema following the treatment of breast cancer. It should be assessed bilaterally for correlation of the symptoms. Therapists need to integrate the findings of neural tissue mobility impairments into the rehabilitation program for breast cancer survivors with pain and lymphedema for better quality of life. Abbreviations ALND: Axillary Lymph Node Dissection ROM: Range of Motion BC: Breast cancer ULNT: Upper Limb Neurodynamic Test ALND: Axillary Lymph Node Dissection ROM: Range of Motion BC: Breast cancer ULNT: Upper Limb Neurodynamic Test Conclusion: This study of women who have undergone surgical intervention for breast cancer concludes that there was significant amount of neural tissue impairment noted to mechanical provocation test post operatively after 6 months of surgery. The study suggests that severity of lymphedema was directly related to the nerves affected due to neural tissue impairment. Neural tissue mobility impairments should be assessed in women with lymphedema following the treatment of breast cancer. It should be assessed bilaterally for correlation of the symptoms. Therapists need to integrate the findings of neural tissue mobility impairments into the rehabilitation program for breast cancer survivors with pain and lymphedema for better quality of life.
Background: Lymphedema in breast cancer survivors is a very common condition which progressively may lead to entrapment  neuropathy. In lymphedema there is accumulation of fluid due to removal of lymph nodes which causes stretching of nerve fibres within the skin, compression on top of the nerve bundle leading to nerve entrapment. This will increase the neural mechanosensitivity and functional impairment of shoulder as a protective neural response to movement or traction. Methods: This study was carried out by assessing the total 72 breast cancer survivor women, with lymphedema. Out of 72, 28 of women underwent lumpectomy, 12 underwent quadrantectomy and 32 underwent unilateral mastectomy.  These subjects were assessed for neural tissue mobility by taking pain assessment using visual analogue scale (VAS), range of motion (ROM) using goniometer, lymphedema measurement using an inch tape. The neural tissue mobility for  median nerve, ulnar nerve and radial nerve was measured using limb tension test. Results: The result obtained from this study showed that neural tissue mobility was significantly impaired in breast cancer survivors with lymphedema. The result of the upper limb tension tests showed 32 women with mild lymphedema had median nerve affected on the involved side 54.1%, about  21 women had moderate lymphedema with 75% of women had median and 25% ulnar nerve affected with median nerve affected in majority of women. Only 19 women with severe lymphedema had all the three nerves affected. Conclusions: This study of women who have undergone surgical intervention for breast cancer concludes that there was significant amount of neural tissue impairment noted to mechanical provocation test post operatively after 6 months of surgery. The study suggests that severity of lymphedema was directly related to the nerves affected due to neural tissue impairment.
Introduction: Breast cancer is most commonly diagnosed and is the leading cause of cancer death among women worldwide (Blecher et al., 2011). It is common in Asian population and with an estimation of 1 in 7 women will develop breast cancer at some time in her life (Loh and Quek, 2011). The incidence of breast cancer (BC) among women has continued to increase within the last decade in spite of screening mammography and the reduction of mortality (Babasaheb et al., 2021). Breast cancer patients are managed with various surgical procedures such as radical mastectomy (RC), modified radical mastectomy (MRM) and breast conserving surgery (BCS) (De GRoef A et al., 2016). Axillary lymph node dissection (ALND), another method is commonly employed as a procedure for diagnosing and treating positive lymph nodes. However, several consequences may develop after breast surgery, ALND, radiation and chemotherapy, such as axillary web syndrome, frozen shoulder, numbness, shoulder pain and range of motion (ROM) restriction, lymphostasis, and lymphedema (Díaz I et al., 2017). Up to 77% report sensory disturbance in the breast or arm (Smoot B et al., 2014). These short- and long-term consequences have dramatic impact on physical function and quality of life in this population (Norman et al., 2009; Shinde and Patil , 2020; Smoot B et al., 2010). The lymphatic system has vessels which transport fluid and plasma proteins from interstitial tissue to the blood circulation. When the lymphatic drainage system is impaired draining of lymphatic fluid ceases to work and fluids accumulate in the tissue and therefore lymphedema occurs which may further lead to swelling (Johansson and Branje, 2010). This condition may be reversible and effective treatment includes compression bandaging, wearing a sleeve/glove, manual lymphatic drainage and pneumatic pumping (Johansson and Branje, 2010; Jaju and Shinde, 2019). If the oedema is allowed to progress without treatment the volume will increase, and the arm will get heavy and cause discomfort and pain(Johansson and Branje 2010; Casley-Smith JR, 1995). Breast cancer-related lymphedema results from impaired lymph transport due to surgical removal of or radiation-induced damage to axillary lymph nodes and lymphatic channels, which leads to accumulation of lymph in the UE, chest, or trunk (Smoot B et al., 2014). Neural tissue mobility also called as neuro dynamics which refers to the communication between the different parts of the nervous system and to the nervous system relationship to the musculoskeletal system. Neurodynamic in the sense implied here is the mobilisation of the nervous system as an approach to physical treatment of pain. This mobilisation activates a range of mechanical and physiological responses in nervous tissue such as neural sliding, pressurisation, elongation, tension and changes in intraneural microcirculation, axonal transport, and nervous impulse movements (Shacklock, 1995). Injuries to the nerve have been reported with axillary dissection which maybe a result of positional tractioning, forceful retraction, direct laceration or contusion of neural tissue during surgery. Nerve injury can also be due to entrapment or compression related to post-operative or radiation-induced fibrosis and scarring (Jare et al., 2019; Shinde 2020; Macdonald et al., 2005). Peripheral nerves when they are subjected to trauma they become “sensitized” less tolerant to the physical stresses (compression and stretch), imposed upon them during movement. The mechanisms responsible for development of neuropathic pain from cancer treatment may also affect the tolerance of the nervous system to movement. Additionally, peripheral nerves at risk during surgery or radiation may be subjected to higher physical stresses during movement due to compression or restrictions from adhesions and fibrosis (Smoot et al., 2014). There is no such study which shows the impact of lymphedema on neural tissue mobility. So, it is necessary to analyse whether the presence of lymphedema will have an effect on neural tissue mobility which may result in pain, numbness, tingling sensations, restrictions in range of motion of the upper limb while assessing the patient. Adverse neural tension may arise due to inflammation, nerve compression, or impaired blood supply to the area. This study will help add evidences on neural tissue mobility impairment that may happen due to varying severity of lymphedema. Various studies have suggested that neural structures sensitivity is increased due to provocative sequences of upper quadrant movements in in various upper limb pain syndromes. But there are no studies till the date which have assessed for whether the neural tissues become sensitive to such movements following surgery for breast cancer. Soft tissue structures mainly the contractile tissues noncontractile tissues and inert tissues were restricted and compressed during shortening and lengthening. The restrictive and compressive effect of lymphedema resulted in pain, limited mobility of joints as well as restricted neural tissue mobility. This study was conducted to estimate the changes in pain, upper limb mobility and strength in response to altered upper limb neural tissue mobility and mechano-sensitivity in breast cancer patients with lymphedema. Conclusion: Joshi Devanshi conducted literature review for this manuscript, developed an introduction section of manuscript, conducted the discussion of the study, findings, collected data and analysed the data. Dr. Shinde Sandeep provided a description of the background information, collected data and analysed the data and participated in prescription of the manuscript, all the authors read and approved the final manuscript.
Background: Lymphedema in breast cancer survivors is a very common condition which progressively may lead to entrapment  neuropathy. In lymphedema there is accumulation of fluid due to removal of lymph nodes which causes stretching of nerve fibres within the skin, compression on top of the nerve bundle leading to nerve entrapment. This will increase the neural mechanosensitivity and functional impairment of shoulder as a protective neural response to movement or traction. Methods: This study was carried out by assessing the total 72 breast cancer survivor women, with lymphedema. Out of 72, 28 of women underwent lumpectomy, 12 underwent quadrantectomy and 32 underwent unilateral mastectomy.  These subjects were assessed for neural tissue mobility by taking pain assessment using visual analogue scale (VAS), range of motion (ROM) using goniometer, lymphedema measurement using an inch tape. The neural tissue mobility for  median nerve, ulnar nerve and radial nerve was measured using limb tension test. Results: The result obtained from this study showed that neural tissue mobility was significantly impaired in breast cancer survivors with lymphedema. The result of the upper limb tension tests showed 32 women with mild lymphedema had median nerve affected on the involved side 54.1%, about  21 women had moderate lymphedema with 75% of women had median and 25% ulnar nerve affected with median nerve affected in majority of women. Only 19 women with severe lymphedema had all the three nerves affected. Conclusions: This study of women who have undergone surgical intervention for breast cancer concludes that there was significant amount of neural tissue impairment noted to mechanical provocation test post operatively after 6 months of surgery. The study suggests that severity of lymphedema was directly related to the nerves affected due to neural tissue impairment.
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[ "lymphedema", "neural", "tissue", "breast", "cancer", "neural tissue", "breast cancer", "pain", "mobility", "study" ]
[ "impairment breast cancer", "breast cancer assessed", "following treatment breast", "complications breast cancer", "breast cancer surgery" ]
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[CONTENT] Lymphedema | neural tissue impairment | visual Analogue scale | upper limb tension test [SUMMARY]
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[CONTENT] Lymphedema | neural tissue impairment | visual Analogue scale | upper limb tension test [SUMMARY]
[CONTENT] Lymphedema | neural tissue impairment | visual Analogue scale | upper limb tension test [SUMMARY]
[CONTENT] Lymphedema | neural tissue impairment | visual Analogue scale | upper limb tension test [SUMMARY]
[CONTENT] Lymphedema | neural tissue impairment | visual Analogue scale | upper limb tension test [SUMMARY]
[CONTENT] Female | Humans | Breast Neoplasms | Cancer Survivors | Mastectomy | Lymphedema | Survivors | Upper Extremity [SUMMARY]
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[CONTENT] Female | Humans | Breast Neoplasms | Cancer Survivors | Mastectomy | Lymphedema | Survivors | Upper Extremity [SUMMARY]
[CONTENT] Female | Humans | Breast Neoplasms | Cancer Survivors | Mastectomy | Lymphedema | Survivors | Upper Extremity [SUMMARY]
[CONTENT] Female | Humans | Breast Neoplasms | Cancer Survivors | Mastectomy | Lymphedema | Survivors | Upper Extremity [SUMMARY]
[CONTENT] Female | Humans | Breast Neoplasms | Cancer Survivors | Mastectomy | Lymphedema | Survivors | Upper Extremity [SUMMARY]
[CONTENT] impairment breast cancer | breast cancer assessed | following treatment breast | complications breast cancer | breast cancer surgery [SUMMARY]
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[CONTENT] impairment breast cancer | breast cancer assessed | following treatment breast | complications breast cancer | breast cancer surgery [SUMMARY]
[CONTENT] impairment breast cancer | breast cancer assessed | following treatment breast | complications breast cancer | breast cancer surgery [SUMMARY]
[CONTENT] impairment breast cancer | breast cancer assessed | following treatment breast | complications breast cancer | breast cancer surgery [SUMMARY]
[CONTENT] impairment breast cancer | breast cancer assessed | following treatment breast | complications breast cancer | breast cancer surgery [SUMMARY]
[CONTENT] lymphedema | neural | tissue | breast | cancer | neural tissue | breast cancer | pain | mobility | study [SUMMARY]
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[CONTENT] lymphedema | neural | tissue | breast | cancer | neural tissue | breast cancer | pain | mobility | study [SUMMARY]
[CONTENT] lymphedema | neural | tissue | breast | cancer | neural tissue | breast cancer | pain | mobility | study [SUMMARY]
[CONTENT] lymphedema | neural | tissue | breast | cancer | neural tissue | breast cancer | pain | mobility | study [SUMMARY]
[CONTENT] lymphedema | neural | tissue | breast | cancer | neural tissue | breast cancer | pain | mobility | study [SUMMARY]
[CONTENT] system | neural | tissue | lymphatic | compression | nervous | breast | cancer | lymph | 2010 [SUMMARY]
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[CONTENT] lymphedema | tissue | neural tissue | neural | nerve | women | neural tissue mobility | mobility | tissue mobility | median [SUMMARY]
[CONTENT] neural tissue | tissue | neural | neural tissue impairment | tissue impairment | breast cancer | cancer | lymphedema | breast | tissue mobility impairments [SUMMARY]
[CONTENT] lymphedema | neural | tissue | breast | neural tissue | cancer | breast cancer | pain | mobility | study [SUMMARY]
[CONTENT] lymphedema | neural | tissue | breast | neural tissue | cancer | breast cancer | pain | mobility | study [SUMMARY]
[CONTENT] ||| ||| [SUMMARY]
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[CONTENT] ||| 32 | 54.1% | about  21 | 75% | 25% ||| Only 19 | three [SUMMARY]
[CONTENT] 6 months ||| [SUMMARY]
[CONTENT] ||| ||| ||| ||| 72 ||| 72 | 28 | 12 | 32 ||| ||| ||| ||| ||| 32 | 54.1% | about  21 | 75% | 25% ||| Only 19 | three ||| 6 months ||| [SUMMARY]
[CONTENT] ||| ||| ||| ||| 72 ||| 72 | 28 | 12 | 32 ||| ||| ||| ||| ||| 32 | 54.1% | about  21 | 75% | 25% ||| Only 19 | three ||| 6 months ||| [SUMMARY]
Effects of fungal infection on feeding and survival of Anopheles gambiae (Diptera: Culicidae) on plant sugars.
25600411
The entomopathogenic fungus Metarhizium anisopliae shows great promise for the control of adult malaria vectors. A promising strategy for infection of mosquitoes is supplying the fungus at plant feeding sites.
BACKGROUND
We evaluated the survival of fungus-exposed Anopheles gambiae mosquitoes (males and females) fed on 6% glucose and on sugars of Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed). Further, we determined the feeding propensity, quantity of sugar ingested and its digestion rate in the mosquitoes when fed on R. communis for 12 hours, one and three days post-exposure to fungus. The anthrone test was employed to detect the presence of sugar in each mosquito from which the quantity consumed and the digestion rates were estimated.
METHODS
Fungus-exposed mosquitoes lived for significantly shorter periods than uninfected mosquitoes when both were fed on 6% glucose (7 versus 37 days), R. communis (7 versus 18 days) and P. hysterophorus (5 versus 7 days). Significantly fewer male and female mosquitoes, one and three days post-exposure to fungus, fed on R. communis compared to uninfected controls. Although the quantity of sugar ingested was similar between the treatment groups, fewer fungus-exposed than control mosquitoes ingested small, medium and large meals. Digestion rate was significantly slower in females one day after exposure to M. anisopliae compared to controls but remained the same in males. No change in digestion rate between treatments was observed three days after exposure.
RESULTS
These results demonstrate that (a) entomopathogenic fungi strongly impact survival and sugar-feeding propensity of both sexes of the malaria vector An. gambiae but do not affect their potential to feed and digest meals, and (b) that plant sugar sources can be targeted as fungal delivery substrates. In addition, targeting males for population reduction using entomopathogenic fungi opens up a new strategy for mosquito vector control.
CONCLUSIONS
[ "Animals", "Anopheles", "Anthracenes", "Asteraceae", "Carbohydrates", "Feeding Behavior", "Female", "Insect Vectors", "Malaria", "Male", "Metarhizium", "Mosquito Control", "Ricinus", "Survival Analysis" ]
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Background
Studies have shown that fungal pathogens reduce survival of Anopheles mosquitoes to a level that prevents transmission of malaria parasites [1-3]. The fungi achieve this by reducing mosquito blood feeding [4,5] and fecundity [5]. Plant sugar acquired from floral and extrafloral nectaries, honeydew, damaged fruits and leaves is essential for mosquito survival [6-8]. It is the only nutritional source of adult males and a dietary supplement to blood for females. Sugar feeding is an early priority for both sexes, which typically have limited energy reserves upon emergence [9-14]. Besides survival and building of energy reserves, sugar enhances maturation of ovarian follicles in females and reproductive fitness in males [15]. Survival of the malaria mosquito Anopheles gambiae is assured with frequent feeding and ingestion of sizeable amounts of sugar meals [16] or by ingestion of small amounts of sugar at a time [6,8]. Recent studies have shown that mosquitoes feed on a wide variety of plants common in their natural habitats [17-20] with males preferentially feeding on the most rewarding sugar sources [21]. Sugars from some of these plants promote longer survival of both sexes, which enhances the vectorial capacity of females [16,22] and fitness and reproductive capacity of the males [21]. Most studies, though, have targeted females due to their significant role in malaria transmission with the contribution of males in the whole process often overlooked. As sugar feeding is central in the biology of adult mosquitoes, it is imperative to assess whether infection of mosquitoes with entomopathogenic fungi impacts sugar feeding. This study investigated three aspects of plant sugar feeding behaviour of adult male and female An. gambiae mosquitoes under natural climatic conditions. These included (a) determining the survival of fungus-exposed An. gambiae mosquitoes when fed on glucose or plant sugars, (b) establishing the feeding propensity and the quantity of sugar ingested from plants by the infected mosquitoes and (c) assessing the digestion rate of sugar imbibed by fungus-exposed mosquitoes.
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Results
Survival of M. anisopliae-infected An. gambiae mosquitoes fed on plant sugars Infection with M. anisopliae reduced the survival of both sexes of An. gambiae with 100% mortality occurring within seven days compared to ≥ seven days with uninfected mosquitoes irrespective of the nutritional source (Figure 1). Survival of infected male and female mosquitoes in each nutritional group was significantly different from their respective controls. For example, the daily risk of death for both sexes was eight-fold greater on 6% glucose; four-fold (males) and eight-fold (females) greater on R. communis and two-fold greater for both sexes on P. hysterophorus relative to their controls (Table 1). In uninfected mosquitoes, the daily risk of death was three-fold greater for both males (HR = 3.4 [95% CI = 2.91 - 4.21], P = 0.0001) and females (HR = 2.9 [95% CI = 2.45 - 3.55], P = 0.0001) fed on R. communis and 14-fold greater for males (HR = 14.1 [95% CI = 11.33 - 17.6], P = 0.0001) and 13-fold greater for females (HR = 13.4 [95% CI = 10.71 - 16.8], P = 0.0001) fed on P. hysterophorus relative to 6% glucose. Therefore, P. hysterophorus caused a drastic reduction in the survival of mosquitoes regardless of fungal infection. Between sexes, survival rate over time in each nutritional regime was not different. Mycosis test results indicated high infection rates (>77%) in fungus-exposed male and female mosquitoes. No fungal conidia were observed on the cadavers of the control mosquitoes.Figure 1 Survival of uninfected and M. anisopliae -infected An. gambiae females (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6% glucose (panel A and B); (ii) Ricinus communis (panel C and D) and (iii) Parthenium hysterophorus (Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively.Table 1 Survival analysis of An. gambiae mosquitoes infected with M. anisopliae and fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus) Nutritional sources HR (95% CI) Male mosquitoes P-value Female mosquitoes P-value Glucose (6%)8.53 (6.68 - 10.89)0.00017.64 (5.99 - 9.75)0.0001 Ricinus communis 4.33 (3.59 - 5.23)0.00018.21 (6.49 - 10.37)0.0001 Parthenium hysterophorus 1.62 (1.40 - 1.89)0.00012.15 (1.85 - 2.50)0.0001 Survival of uninfected and M. anisopliae -infected An. gambiae females (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6% glucose (panel A and B); (ii) Ricinus communis (panel C and D) and (iii) Parthenium hysterophorus (Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively. Survival analysis of An. gambiae mosquitoes infected with M. anisopliae and fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus) Infection with M. anisopliae reduced the survival of both sexes of An. gambiae with 100% mortality occurring within seven days compared to ≥ seven days with uninfected mosquitoes irrespective of the nutritional source (Figure 1). Survival of infected male and female mosquitoes in each nutritional group was significantly different from their respective controls. For example, the daily risk of death for both sexes was eight-fold greater on 6% glucose; four-fold (males) and eight-fold (females) greater on R. communis and two-fold greater for both sexes on P. hysterophorus relative to their controls (Table 1). In uninfected mosquitoes, the daily risk of death was three-fold greater for both males (HR = 3.4 [95% CI = 2.91 - 4.21], P = 0.0001) and females (HR = 2.9 [95% CI = 2.45 - 3.55], P = 0.0001) fed on R. communis and 14-fold greater for males (HR = 14.1 [95% CI = 11.33 - 17.6], P = 0.0001) and 13-fold greater for females (HR = 13.4 [95% CI = 10.71 - 16.8], P = 0.0001) fed on P. hysterophorus relative to 6% glucose. Therefore, P. hysterophorus caused a drastic reduction in the survival of mosquitoes regardless of fungal infection. Between sexes, survival rate over time in each nutritional regime was not different. Mycosis test results indicated high infection rates (>77%) in fungus-exposed male and female mosquitoes. No fungal conidia were observed on the cadavers of the control mosquitoes.Figure 1 Survival of uninfected and M. anisopliae -infected An. gambiae females (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6% glucose (panel A and B); (ii) Ricinus communis (panel C and D) and (iii) Parthenium hysterophorus (Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively.Table 1 Survival analysis of An. gambiae mosquitoes infected with M. anisopliae and fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus) Nutritional sources HR (95% CI) Male mosquitoes P-value Female mosquitoes P-value Glucose (6%)8.53 (6.68 - 10.89)0.00017.64 (5.99 - 9.75)0.0001 Ricinus communis 4.33 (3.59 - 5.23)0.00018.21 (6.49 - 10.37)0.0001 Parthenium hysterophorus 1.62 (1.40 - 1.89)0.00012.15 (1.85 - 2.50)0.0001 Survival of uninfected and M. anisopliae -infected An. gambiae females (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6% glucose (panel A and B); (ii) Ricinus communis (panel C and D) and (iii) Parthenium hysterophorus (Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively. Survival analysis of An. gambiae mosquitoes infected with M. anisopliae and fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus) Quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes The quantity of sugar detected ranged from 1–64 μg. For easy analysis of the data, the mosquitoes were categorised as consumers of small, medium or large meals [26] if they imbibed 1–4 μg, 8–16 μg or 32–64 μg of sugar, respectively. Significantly fewer male and female mosquitoes exposed to fungus imbibed sugar from R. communis compared to mosquitoes not exposed to fungus (Figure 2). More uninfected than fungus-exposed mosquitoes ingested plant sugar. Fewer mosquitoes imbibed plant sugars at three days post-exposure than at one day post-exposure. Although fungus-exposed mosquitoes ingested less sugar than uninfected counterparts the differences were generally insignificant except for medium-feeding females three days post-exposure (Table 2) and small-feeding males, one and three days post-exposure (Table 3). Results from the mycosis test demonstrated high infection rates (>75%) in fungus-exposed males and females. No fungal hyphae were observed on the cadavers of control mosquitoes.Figure 2 Mean (± S.E) percentage of uninfected and M. anisopliae - infected An. gambiae males (Panel A) and females (Panel B) that imbibed sugar on exposure to Ricinus communis for 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes.Table 2 Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae female mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hours Sugar quantity Days post-exposure N Mean% (± S.E) of males that imbibed sugar χ 2 P Uninfected Fungus-infected Small1447.5 ± 8.5438.0 ± 7.963.690.055Medium429.0 ± 4.5126.0 ± 4.080.450.502Large418.5 ± 8.2219.5 ± 6.290.070.799Small3435.0 ± 4.1230.0 ± 5.61.140.286Medium422.0 ± 2.226.0 ± 2.1622.280.001Large412.0 ± 4.696.5 ± 6.53.600.058One and three d post-exposure females were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes.Table 3 Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae male mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hr Sugar quantity Days post-exposure N Mean% (± S.E) of males that imbibed sugar χ 2 P Uninfected Fungus-infected Small1456.0 ± 6.1641.0 ± 9.479.010.003Medium422.0 ± 3.5621.5 ± 4.190.020.903Large49.5 ± 1.716.5 ± 2.631.220.269Small3452.0 ± 8.4937.0 ± 6.149.110.003Medium416.5 ± 0.5010.5 ± 7.373.080.079Large44.0 ± 2.451.0 ± 1.03.690.055One and three d post-exposure males were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Mean (± S.E) percentage of uninfected and M. anisopliae - infected An. gambiae males (Panel A) and females (Panel B) that imbibed sugar on exposure to Ricinus communis for 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes. Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae female mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hours One and three d post-exposure females were tested. Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae male mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hr One and three d post-exposure males were tested. Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. The quantity of sugar detected ranged from 1–64 μg. For easy analysis of the data, the mosquitoes were categorised as consumers of small, medium or large meals [26] if they imbibed 1–4 μg, 8–16 μg or 32–64 μg of sugar, respectively. Significantly fewer male and female mosquitoes exposed to fungus imbibed sugar from R. communis compared to mosquitoes not exposed to fungus (Figure 2). More uninfected than fungus-exposed mosquitoes ingested plant sugar. Fewer mosquitoes imbibed plant sugars at three days post-exposure than at one day post-exposure. Although fungus-exposed mosquitoes ingested less sugar than uninfected counterparts the differences were generally insignificant except for medium-feeding females three days post-exposure (Table 2) and small-feeding males, one and three days post-exposure (Table 3). Results from the mycosis test demonstrated high infection rates (>75%) in fungus-exposed males and females. No fungal hyphae were observed on the cadavers of control mosquitoes.Figure 2 Mean (± S.E) percentage of uninfected and M. anisopliae - infected An. gambiae males (Panel A) and females (Panel B) that imbibed sugar on exposure to Ricinus communis for 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes.Table 2 Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae female mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hours Sugar quantity Days post-exposure N Mean% (± S.E) of males that imbibed sugar χ 2 P Uninfected Fungus-infected Small1447.5 ± 8.5438.0 ± 7.963.690.055Medium429.0 ± 4.5126.0 ± 4.080.450.502Large418.5 ± 8.2219.5 ± 6.290.070.799Small3435.0 ± 4.1230.0 ± 5.61.140.286Medium422.0 ± 2.226.0 ± 2.1622.280.001Large412.0 ± 4.696.5 ± 6.53.600.058One and three d post-exposure females were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes.Table 3 Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae male mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hr Sugar quantity Days post-exposure N Mean% (± S.E) of males that imbibed sugar χ 2 P Uninfected Fungus-infected Small1456.0 ± 6.1641.0 ± 9.479.010.003Medium422.0 ± 3.5621.5 ± 4.190.020.903Large49.5 ± 1.716.5 ± 2.631.220.269Small3452.0 ± 8.4937.0 ± 6.149.110.003Medium416.5 ± 0.5010.5 ± 7.373.080.079Large44.0 ± 2.451.0 ± 1.03.690.055One and three d post-exposure males were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Mean (± S.E) percentage of uninfected and M. anisopliae - infected An. gambiae males (Panel A) and females (Panel B) that imbibed sugar on exposure to Ricinus communis for 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes. Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae female mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hours One and three d post-exposure females were tested. Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae male mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hr One and three d post-exposure males were tested. Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Sugar digestion rate of M. anisopliae-infected An. gambiae mosquitoes The proportions of uninfected and M. anisopliae-infected mosquitoes testing positive for plant sugar consistently decreased over time (Figure 3). For each time period since feeding, more mosquitoes, one day post-exposure to fungus, tested positive for sugar than uninfected mosquitoes but the difference was not significant except in males at 32 hours (χ2 = 6.27; df = 1; P = 0.001) and in females at 24 hours (χ2 = 10.91; df = 1; P = 0.001) and 32 hours (χ2 = 11.25; df = 1; P = 0.001) of digestion. In addition, fewer mosquitoes, three days post-exposure, than controls tested positive for sugars until 16 hours in males and 24 hours in females after feeding with the differences significant at 32 hour of digestion (males: χ2 = 6.49; df = 1; P = 0.001; females χ2 = 7.67; df = 1; P = 0.006). Cumulative scores from time zero through to the 32 hour demonstrate that, more one day post-exposure males (52% versus 45%) and females (58% versus 39%) than controls tested positive for sugar. This was an overall indication that digestion rate was slower in fungus-exposed mosquitoes. The difference was only significant for females, one day post-exposure (Table 4). Further, the proportion of three day post-exposure males (43% versus 43%) and females (53% versus 53%) with sugar was equal to that of the controls. Hence, timing of fungal exposure only had an effect on sugar digestion in females. Results from mycosis tests indicated that, on average 73-81% of males and 78-85% of females were infected with fungus but no spores were observed on the cadaver of the control mosquitoes.Figure 3 Effect of infection with M. anisopliae on sugar detection success in An. gambiae mosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes.Table 4 Proportion of uninfected and fungus-exposed An. gambiae mosquitoes that tested positive for sugar within 32 hr after feeding on Ricinus communis for 12 hr Sex Days post-exposure N % mosquitoes sugar positive χ 2 P Percent (± S.E) infection Uninfected Fungus-exposed Male1445521.960.16173.0 ± 3.87 (146)Female438.55815.290.00178.0 ± 4.16 (156)Male3443.5430.010.92081.0 ± 1.0 (162)Female452.5530.010.92085.0 ± 2.08 (170)Males and females were tested one and three d post-exposure.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Effect of infection with M. anisopliae on sugar detection success in An. gambiae mosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes. Proportion of uninfected and fungus-exposed An. gambiae mosquitoes that tested positive for sugar within 32 hr after feeding on Ricinus communis for 12 hr Males and females were tested one and three d post-exposure. Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. The proportions of uninfected and M. anisopliae-infected mosquitoes testing positive for plant sugar consistently decreased over time (Figure 3). For each time period since feeding, more mosquitoes, one day post-exposure to fungus, tested positive for sugar than uninfected mosquitoes but the difference was not significant except in males at 32 hours (χ2 = 6.27; df = 1; P = 0.001) and in females at 24 hours (χ2 = 10.91; df = 1; P = 0.001) and 32 hours (χ2 = 11.25; df = 1; P = 0.001) of digestion. In addition, fewer mosquitoes, three days post-exposure, than controls tested positive for sugars until 16 hours in males and 24 hours in females after feeding with the differences significant at 32 hour of digestion (males: χ2 = 6.49; df = 1; P = 0.001; females χ2 = 7.67; df = 1; P = 0.006). Cumulative scores from time zero through to the 32 hour demonstrate that, more one day post-exposure males (52% versus 45%) and females (58% versus 39%) than controls tested positive for sugar. This was an overall indication that digestion rate was slower in fungus-exposed mosquitoes. The difference was only significant for females, one day post-exposure (Table 4). Further, the proportion of three day post-exposure males (43% versus 43%) and females (53% versus 53%) with sugar was equal to that of the controls. Hence, timing of fungal exposure only had an effect on sugar digestion in females. Results from mycosis tests indicated that, on average 73-81% of males and 78-85% of females were infected with fungus but no spores were observed on the cadaver of the control mosquitoes.Figure 3 Effect of infection with M. anisopliae on sugar detection success in An. gambiae mosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes.Table 4 Proportion of uninfected and fungus-exposed An. gambiae mosquitoes that tested positive for sugar within 32 hr after feeding on Ricinus communis for 12 hr Sex Days post-exposure N % mosquitoes sugar positive χ 2 P Percent (± S.E) infection Uninfected Fungus-exposed Male1445521.960.16173.0 ± 3.87 (146)Female438.55815.290.00178.0 ± 4.16 (156)Male3443.5430.010.92081.0 ± 1.0 (162)Female452.5530.010.92085.0 ± 2.08 (170)Males and females were tested one and three d post-exposure.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Effect of infection with M. anisopliae on sugar detection success in An. gambiae mosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes. Proportion of uninfected and fungus-exposed An. gambiae mosquitoes that tested positive for sugar within 32 hr after feeding on Ricinus communis for 12 hr Males and females were tested one and three d post-exposure. Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes.
Conclusions
This study has demonstrated that infection with entomopathogenic fungi reduces survival and plant sugar-feeding ability of male and female An. gambiae mosquitoes, but not their potential to ingest and digest sugars, except in the late stages of fungal infection. By reducing survival, a fraction of the mosquito population is eliminated thus lowering the level of malaria transmission. The fact that infected mosquitoes continue to feed is an indication that they have a chance to sustain their physiological requirements including reproduction. This may delay mosquitoes from succumbing to infection quickly but may facilitate the occurrence of sub-lethal effects that can lead to reduction in fecundity and a further decline of mosquito population, hence disease transmission. The possibility of targeting male mosquitoes for population reduction by an entomopathogenic fungus opens a new strategy for mosquito vector control.
[ "Mosquitoes", "Detection of plant sugars in mosquitoes using the anthrone test", "Fungal isolate", "Fungal infection process", "Plant species", "Survival of M. anisopliae-infected An. gambiae mosquitoes fed on plant sugars", "Quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes", "Sugar digestion rate of M. anisopliae-infected An. gambiae mosquitoes", "Ethical approval", "Statistics", "Survival of M. anisopliae-infected An. gambiae mosquitoes fed on plant sugars", "Quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes", "Sugar digestion rate of M. anisopliae-infected An. gambiae mosquitoes" ]
[ "Experiments were carried out using laboratory-reared Anopheles gambiae Giles sensu stricto (hereafter termed An. gambiae) mosquitoes obtained from a colony established from wild gravid females collected at Mbita Point (000 25’S, 340 13’E), western Kenya in 1999. All mosquito life stages were maintained under ambient conditions in a mosquito insectary present at the Thomas Odhiambo Campus (TOC) of the International Centre of Insect Physiology and Ecology (icipe) located near Mbita Point Township in western Kenya. Larval and adult stages of the mosquitoes were raised using procedures described previously [23]. Both sexes were separated at emergence and held under ambient conditions in 30 × 30 × 30 cm cages inside a screenhouse. Before experiments, the insects were maintained either on an aqueous 6% glucose solution presented on filter paper wicks or on stem cuttings of Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed).", "The anthrone test was used to determine the presence of sugars in the mosquitoes. To do so standard sucrose solutions of different strengths in the series 1, 2, 4, 8, 16, 32, 64, 128 and 256 μg/μl were prepared. Initially, 25.6 g of reagent grade sucrose was dissolved in 50 ml of distilled water. More water was added gradually while mixing to make a 100 ml solution from which the serial dilutions were prepared. Distilled water served as the neutral liquid. These solutions were stored at −4°C. Diluted sulphuric acid was then prepared by mixing 380 ml concentrated sulphuric acid with 150 ml distilled water in a fume hood. The whole solution was cooled for 5 hours at room temperature and further for 12 hours in the refrigerator at 5°C before use. Anthrone reagent was then prepared by mixing 0.15 g of anthrone powder per 100 ml of the diluted sulphuric acid.\nTwo test tube racks were used with each rack holding one hundred 5-ml test tubes. A third rack was used to hold 10 test tubes for the standard sucrose solutions. The standards were prepared by pipetting 1 μl from each of the nine standard sucrose solutions into the nine separate test tubes. The tenth tube contained 1 μl of distilled water. The other two racks were used to hold both sexes of uninfected and M. anisopliae-exposed An. gambiae mosquitoes. Each tube held one mosquito. One drop each of chloroform and methanol in the ratio 1:1 was added to each tube containing mosquitoes to dissolve the cuticle. The racks were held in a fume hood where 0.5 ml of anthrone reagent was added to the standards and the tubes containing mosquitoes. The racks were then transferred into a water bath at room temperature for one hr. In the presence of sugar, the colour of the solutions changed from green to green-blue and further dark-blue depending on the amount of sugar. In absence of sugar, the colour of the sample was transparent yellow. After one hour the results were read by comparing the colour change in tubes containing mosquitoes and those with standard solutions.", "The entomopathogenic fungus Metarhizium anisopliae isolate ICIPE 30 was used (courtesy Dr. N.K. Maniania). This fungus was originally isolated from the stem borer Busseola fusca (Lepidoptera, Noctuidea) in Kendu Bay, western Kenya, in 1999 and has been maintained at the icipe’s Germplasm Centre. Conidia were produced on long rice as substrate [24]. Harvested spores were dried for 48 hours in a desiccator containing active silica gel and stored in a refrigerator (4-6°C) until required. The viability of spores was determined before being used in the experiments. Germination rates >85% after 24 hours on Sabouraud dextrose agar was considered adequate for use in the experiments.", "Transparent plastic cylinders (9 cm diameter; 15 cm height) were used to inoculate An. gambiae mosquitoes with spores of M. anisopliae. The inside vertical surface and the circular base of each cylinder were lined with white rough-surfaced velvex tissue papers that measured 28.6 × 14.3 cm (for vertical surface) and 9 cm in diameter (for circular base area). A piece of mosquito netting material was secured over the mouth of each cylinder using a rubber band. A hole was punched at the centre of the net to serve as an introduction point for experimental mosquitoes. Each cylinder was held in a slanting position and 0.1 g (approx. 1.0 × 1011 conidia/m2) of M. anisopliae spores were weighed and poured on the paper. Using both hands, the cylinders were rolled several times until the papers were uniformly covered by the spores. The inner and the base surfaces of the cylinder used for uninfected mosquitoes were lined with white rough paper without spores.\nFor survival experiments, a total of four cylinders with fungus and four cylinders without fungus were used. Of these, two cylinders with fungus and two cylinders without fungus were each used to infect male and female mosquitoes separately. Sixty 1-d-old female and male mosquitoes were introduced into each of their respective four cylinders. The insects were held for six hr being supplied with 6% glucose solution soaked in a cotton pad and placed on top of the netting material covering the cylinder. The mosquitoes were then transferred into four separate holding cages (30 × 30 × 30 cm) based on sex and treatment and were supplied with 6% glucose solution on filter paper wicks. The insects were maintained under ambient conditions inside a screenhouse at 28 ± 2°C and 70 ± 5% r.h. For studies to evaluate plant material this procedure was repeated to infect the mosquitoes but the insects were provided with floral parts of R. communis and P. hysterophorous separately as source of sugar instead of 6% glucose solution. The base of the floral parts was hooked on the netting material covering the mouth of each cylinder using a tooth pick to suspend the plant inside the cylinder.\nFor sugar quantity and digestion rate experiments, five cylinders with fungus and three cylinders without fungus were used to infect female mosquitoes. The same numbers of cylinders were used to infect male mosquitoes. The number of mosquitoes exposed to fungus was higher than for the uninfected group to adjust for mortality in the holding cages prior to the start of the experiments on days one and three post-exposure.", "Two plant species namely Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed) were used. Ricinus communis has been demonstrated to enhance survival of An. gambiae and P. hysterophorus as most frequently visited by this mosquito species [19]. Five, fresh stems cut from each plant with leaves and floral parts intact were used in the study. The cuttings were collected from the agricultural field at icipe, Mbita Point, western Kenya where the plants grow naturally.", "To study the effect of fungus on the survival of M. anisopliae-infected An. gambiae mosquitoes on plant sugars, one hundred male and 100 female An. gambiae mosquitoes exposed to M. anisopliae for six hours upon emergence were held in separate cages (30 × 30 × 30 cm). Each cage was supplied with 250-ml flat bottomed conical flask containing 200-ml filtered Lake Victoria water and five stems (with leaves and floral parts intact) of R. communis. The stems were replaced every two days. Mosquito mortality was recorded daily to determine the length of time over which the mosquitoes survived. Dead individuals were plated in a Petri dish lined with wet filter paper and incubated at 28 ± 2°C. Fungal growth on mosquito cadavers was observed after three days at 400× magnification under a compound microscope. The experiment was replicated four times. This procedure was repeated using P. hysterophorus as an alternative test plant and 6% glucose solution on filter paper wicks as a control. Glucose solution was changed every two days.", "In order to determine the quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes, preliminary experiments were conducted to determine the length of time required for individual mosquitoes to feed fully. Three groups of female mosquitoes each composed of 50 individuals were fed on stems (with leaves and floral parts intact) of R. communis for separate periods of 6, 12 and 24 hours. The experiments were replicated four times over time. This procedure was repeated with male mosquitoes. Both male and female mosquitoes took 12 hours to satiate. Thus, the amount of sugar ingested from stems of R. communis by male and female mosquitoes, one and three days post-exposure to M. anisopliae, was evaluated after every 12 hours of feeding. One day after exposure to fungus, fifty male and female mosquitoes were aspirated, each from their respective uninfected and fungus-exposed cages and released into four separate cages. The insects were starved for 6 hrs prior to introduction of a 250-ml conical flask containing stems of R. communis in each cage. After 12 hours of feeding, the insects were removed from the cages and held in four separate collection cups. The insects were held inside a refrigerator at 4°C for 30 min and their sugar levels were quantified following the procedure earlier described on ‘detection of plant sugars in mosquitoes using anthrone test’. The experiment was replicated four times. This procedure was repeated with mosquitoes three days post-infection.", "The digestion rate of An. gambiae mosquitoes exposed to M. anisopliae was determined by feeding males and females on R. communis. One day after exposure to fungus, 50 mosquitoes were aspirated from each cage holding uninfected and fungus-exposed mosquitoes and released into four separate cages. The mosquitoes were starved for 6 hours prior to introduction of the plant in a 250-ml conical flask in each cage. Mosquitoes were allowed to feed on R. communis for 12 hours after which the flasks containing the plant were removed from the cages. Fifty mosquitoes that appeared fully fed were also removed and held in separate cages from where ten mosquitoes were removed at an interval of 8 hours starting from time zero through to 32 hours post-feeding. Removed mosquitoes were held inside a refrigerator at 4°C for 30 min and the quantity of sugar in them, and by extension digestion rate, determined following the procedure earlier described. The experiment was replicated four times. The same procedure was repeated with groups of mosquitoes three days post-exposure to M. anisopliae.", "Ethical approval for this study was given by the Kenya National Ethical Review Committee located at the Kenya Medical Research Institute (NON-SSC Protocol number 203).", "Survival of uninfected and M. anisopliae-infected mosquitoes on glucose (6%), R. communis and P. hysterophorous was calculated by expressing the number of mosquitoes that succumbed to mortality as a percentage of the total number tested. Differences in survival between uninfected and fungus-infected groups were estimated using Cox regression analysis. Mortality rates, expressed as Hazard Ratio (HR) were used to estimate the risk of dying when infected compared to when not infected with fungus. To evaluate effects of infection on the amount of sugar ingested by infected (one and three days post-exposure) and control mosquitoes, first the number of mosquitoes that had fed on R. communis was expressed as a percentage of the total number tested. Further, the number of mosquitoes that imbibed small, medium and large quantities of sugar, respectively, was expressed as the mean percentage of the total number of mosquitoes tested. The difference between control and fungus-infected mosquitoes was calculated with the Chi square (χ2) test [25]. The digestion rate of the sugar ingested by mosquitoes one and three days post-exposure was each calculated by logistic regression. Logistic relationships for uninfected and fungus-exposed mosquitoes were fitted to describe sugar detection success for each time elapsed since feeding. The difference between uninfected and fungus-exposed mosquitoes was estimated by the Chi square (χ2) test. All analyses were conducted using SPSS (version 17.0)", "Infection with M. anisopliae reduced the survival of both sexes of An. gambiae with 100% mortality occurring within seven days compared to ≥ seven days with uninfected mosquitoes irrespective of the nutritional source (Figure 1). Survival of infected male and female mosquitoes in each nutritional group was significantly different from their respective controls. For example, the daily risk of death for both sexes was eight-fold greater on 6% glucose; four-fold (males) and eight-fold (females) greater on R. communis and two-fold greater for both sexes on P. hysterophorus relative to their controls (Table 1). In uninfected mosquitoes, the daily risk of death was three-fold greater for both males (HR = 3.4 [95% CI = 2.91 - 4.21], P = 0.0001) and females (HR = 2.9 [95% CI = 2.45 - 3.55], P = 0.0001) fed on R. communis and 14-fold greater for males (HR = 14.1 [95% CI = 11.33 - 17.6], P = 0.0001) and 13-fold greater for females (HR = 13.4 [95% CI = 10.71 - 16.8], P = 0.0001) fed on P. hysterophorus relative to 6% glucose. Therefore, P. hysterophorus caused a drastic reduction in the survival of mosquitoes regardless of fungal infection. Between sexes, survival rate over time in each nutritional regime was not different. Mycosis test results indicated high infection rates (>77%) in fungus-exposed male and female mosquitoes. No fungal conidia were observed on the cadavers of the control mosquitoes.Figure 1\nSurvival of uninfected and\nM. anisopliae\n-infected\nAn. gambiae\nfemales (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6%\nglucose (panel A and B); (ii)\nRicinus communis\n(panel C and D) and (iii)\nParthenium hysterophorus\n(Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively.Table 1\nSurvival analysis of\nAn. gambiae\nmosquitoes infected with\nM. anisopliae\nand fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus)\n\nNutritional sources\n\nHR (95%\nCI)\n\nMale mosquitoes\n\nP-value\n\nFemale mosquitoes\n\nP-value\nGlucose (6%)8.53 (6.68 - 10.89)0.00017.64 (5.99 - 9.75)0.0001\nRicinus communis\n4.33 (3.59 - 5.23)0.00018.21 (6.49 - 10.37)0.0001\nParthenium hysterophorus\n1.62 (1.40 - 1.89)0.00012.15 (1.85 - 2.50)0.0001\n\nSurvival of uninfected and\nM. anisopliae\n-infected\nAn. gambiae\nfemales (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6%\nglucose (panel A and B); (ii)\nRicinus communis\n(panel C and D) and (iii)\nParthenium hysterophorus\n(Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively.\n\nSurvival analysis of\nAn. gambiae\nmosquitoes infected with\nM. anisopliae\nand fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus)\n", "The quantity of sugar detected ranged from 1–64 μg. For easy analysis of the data, the mosquitoes were categorised as consumers of small, medium or large meals [26] if they imbibed 1–4 μg, 8–16 μg or 32–64 μg of sugar, respectively. Significantly fewer male and female mosquitoes exposed to fungus imbibed sugar from R. communis compared to mosquitoes not exposed to fungus (Figure 2). More uninfected than fungus-exposed mosquitoes ingested plant sugar. Fewer mosquitoes imbibed plant sugars at three days post-exposure than at one day post-exposure. Although fungus-exposed mosquitoes ingested less sugar than uninfected counterparts the differences were generally insignificant except for medium-feeding females three days post-exposure (Table 2) and small-feeding males, one and three days post-exposure (Table 3). Results from the mycosis test demonstrated high infection rates (>75%) in fungus-exposed males and females. No fungal hyphae were observed on the cadavers of control mosquitoes.Figure 2\nMean (± S.E) percentage of uninfected and\nM. anisopliae\n- infected\nAn. gambiae\nmales (Panel A) and females (Panel B) that imbibed sugar on exposure to\nRicinus communis\nfor 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square (\nχ\n2\n) test. Each treatment tested 200 mosquitoes.Table 2\nMean (± S.E) percentage of uninfected and fungus-infected\nAn. gambiae\nfemale mosquitoes (see Figure\n1\n) that imbibed different amounts of sugar when fed on\nRicinus communis\nfor 12 hours\n\nSugar quantity\n\nDays post-exposure\n\nN\n\nMean% (± S.E) of males that imbibed sugar\n\nχ\n2\n\nP\n\nUninfected\n\nFungus-infected\nSmall1447.5 ± 8.5438.0 ± 7.963.690.055Medium429.0 ± 4.5126.0 ± 4.080.450.502Large418.5 ± 8.2219.5 ± 6.290.070.799Small3435.0 ± 4.1230.0 ± 5.61.140.286Medium422.0 ± 2.226.0 ± 2.1622.280.001Large412.0 ± 4.696.5 ± 6.53.600.058One and three d post-exposure females were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.Table 3\nMean (± S.E) percentage of uninfected and fungus-infected\nAn. gambiae\nmale mosquitoes (see Figure\n1\n) that imbibed different amounts of sugar when fed on\nRicinus communis\nfor 12 hr\n\nSugar quantity\n\nDays post-exposure\n\nN\n\nMean% (± S.E) of males that imbibed sugar\n\nχ\n2\n\nP\n\nUninfected\n\nFungus-infected\nSmall1456.0 ± 6.1641.0 ± 9.479.010.003Medium422.0 ± 3.5621.5 ± 4.190.020.903Large49.5 ± 1.716.5 ± 2.631.220.269Small3452.0 ± 8.4937.0 ± 6.149.110.003Medium416.5 ± 0.5010.5 ± 7.373.080.079Large44.0 ± 2.451.0 ± 1.03.690.055One and three d post-exposure males were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.\n\nMean (± S.E) percentage of uninfected and\nM. anisopliae\n- infected\nAn. gambiae\nmales (Panel A) and females (Panel B) that imbibed sugar on exposure to\nRicinus communis\nfor 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square (\nχ\n2\n) test. Each treatment tested 200 mosquitoes.\n\nMean (± S.E) percentage of uninfected and fungus-infected\nAn. gambiae\nfemale mosquitoes (see Figure\n1\n) that imbibed different amounts of sugar when fed on\nRicinus communis\nfor 12 hours\n\nOne and three d post-exposure females were tested.\nStatistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.\n\nMean (± S.E) percentage of uninfected and fungus-infected\nAn. gambiae\nmale mosquitoes (see Figure\n1\n) that imbibed different amounts of sugar when fed on\nRicinus communis\nfor 12 hr\n\nOne and three d post-exposure males were tested.\nStatistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.", "The proportions of uninfected and M. anisopliae-infected mosquitoes testing positive for plant sugar consistently decreased over time (Figure 3). For each time period since feeding, more mosquitoes, one day post-exposure to fungus, tested positive for sugar than uninfected mosquitoes but the difference was not significant except in males at 32 hours (χ2 = 6.27; df = 1; P = 0.001) and in females at 24 hours (χ2 = 10.91; df = 1; P = 0.001) and 32 hours (χ2 = 11.25; df = 1; P = 0.001) of digestion. In addition, fewer mosquitoes, three days post-exposure, than controls tested positive for sugars until 16 hours in males and 24 hours in females after feeding with the differences significant at 32 hour of digestion (males: χ2 = 6.49; df = 1; P = 0.001; females χ2 = 7.67; df = 1; P = 0.006). Cumulative scores from time zero through to the 32 hour demonstrate that, more one day post-exposure males (52% versus 45%) and females (58% versus 39%) than controls tested positive for sugar. This was an overall indication that digestion rate was slower in fungus-exposed mosquitoes. The difference was only significant for females, one day post-exposure (Table 4). Further, the proportion of three day post-exposure males (43% versus 43%) and females (53% versus 53%) with sugar was equal to that of the controls. Hence, timing of fungal exposure only had an effect on sugar digestion in females. Results from mycosis tests indicated that, on average 73-81% of males and 78-85% of females were infected with fungus but no spores were observed on the cadaver of the control mosquitoes.Figure 3\nEffect of infection with\nM. anisopliae\non sugar detection success in\nAn. gambiae\nmosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square (\nχ\n2\n) test. Each treatment tested 200 mosquitoes.Table 4\nProportion of uninfected and fungus-exposed\nAn. gambiae\nmosquitoes that tested positive for sugar within 32 hr after feeding on\nRicinus communis\nfor 12 hr\n\nSex\n\nDays post-exposure\n\nN\n\n% mosquitoes sugar positive\n\nχ\n2\n\nP\n\nPercent (± S.E) infection\n\nUninfected\n\nFungus-exposed\nMale1445521.960.16173.0 ± 3.87 (146)Female438.55815.290.00178.0 ± 4.16 (156)Male3443.5430.010.92081.0 ± 1.0 (162)Female452.5530.010.92085.0 ± 2.08 (170)Males and females were tested one and three d post-exposure.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.\n\nEffect of infection with\nM. anisopliae\non sugar detection success in\nAn. gambiae\nmosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square (\nχ\n2\n) test. Each treatment tested 200 mosquitoes.\n\nProportion of uninfected and fungus-exposed\nAn. gambiae\nmosquitoes that tested positive for sugar within 32 hr after feeding on\nRicinus communis\nfor 12 hr\n\nMales and females were tested one and three d post-exposure.\nStatistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Mosquitoes", "Detection of plant sugars in mosquitoes using the anthrone test", "Fungal isolate", "Fungal infection process", "Plant species", "Survival of M. anisopliae-infected An. gambiae mosquitoes fed on plant sugars", "Quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes", "Sugar digestion rate of M. anisopliae-infected An. gambiae mosquitoes", "Ethical approval", "Statistics", "Results", "Survival of M. anisopliae-infected An. gambiae mosquitoes fed on plant sugars", "Quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes", "Sugar digestion rate of M. anisopliae-infected An. gambiae mosquitoes", "Discussion", "Conclusions" ]
[ "Studies have shown that fungal pathogens reduce survival of Anopheles mosquitoes to a level that prevents transmission of malaria parasites [1-3]. The fungi achieve this by reducing mosquito blood feeding [4,5] and fecundity [5]. Plant sugar acquired from floral and extrafloral nectaries, honeydew, damaged fruits and leaves is essential for mosquito survival [6-8]. It is the only nutritional source of adult males and a dietary supplement to blood for females. Sugar feeding is an early priority for both sexes, which typically have limited energy reserves upon emergence [9-14]. Besides survival and building of energy reserves, sugar enhances maturation of ovarian follicles in females and reproductive fitness in males [15].\nSurvival of the malaria mosquito Anopheles gambiae is assured with frequent feeding and ingestion of sizeable amounts of sugar meals [16] or by ingestion of small amounts of sugar at a time [6,8]. Recent studies have shown that mosquitoes feed on a wide variety of plants common in their natural habitats [17-20] with males preferentially feeding on the most rewarding sugar sources [21]. Sugars from some of these plants promote longer survival of both sexes, which enhances the vectorial capacity of females [16,22] and fitness and reproductive capacity of the males [21]. Most studies, though, have targeted females due to their significant role in malaria transmission with the contribution of males in the whole process often overlooked. As sugar feeding is central in the biology of adult mosquitoes, it is imperative to assess whether infection of mosquitoes with entomopathogenic fungi impacts sugar feeding.\nThis study investigated three aspects of plant sugar feeding behaviour of adult male and female An. gambiae mosquitoes under natural climatic conditions. These included (a) determining the survival of fungus-exposed An. gambiae mosquitoes when fed on glucose or plant sugars, (b) establishing the feeding propensity and the quantity of sugar ingested from plants by the infected mosquitoes and (c) assessing the digestion rate of sugar imbibed by fungus-exposed mosquitoes.", " Mosquitoes Experiments were carried out using laboratory-reared Anopheles gambiae Giles sensu stricto (hereafter termed An. gambiae) mosquitoes obtained from a colony established from wild gravid females collected at Mbita Point (000 25’S, 340 13’E), western Kenya in 1999. All mosquito life stages were maintained under ambient conditions in a mosquito insectary present at the Thomas Odhiambo Campus (TOC) of the International Centre of Insect Physiology and Ecology (icipe) located near Mbita Point Township in western Kenya. Larval and adult stages of the mosquitoes were raised using procedures described previously [23]. Both sexes were separated at emergence and held under ambient conditions in 30 × 30 × 30 cm cages inside a screenhouse. Before experiments, the insects were maintained either on an aqueous 6% glucose solution presented on filter paper wicks or on stem cuttings of Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed).\nExperiments were carried out using laboratory-reared Anopheles gambiae Giles sensu stricto (hereafter termed An. gambiae) mosquitoes obtained from a colony established from wild gravid females collected at Mbita Point (000 25’S, 340 13’E), western Kenya in 1999. All mosquito life stages were maintained under ambient conditions in a mosquito insectary present at the Thomas Odhiambo Campus (TOC) of the International Centre of Insect Physiology and Ecology (icipe) located near Mbita Point Township in western Kenya. Larval and adult stages of the mosquitoes were raised using procedures described previously [23]. Both sexes were separated at emergence and held under ambient conditions in 30 × 30 × 30 cm cages inside a screenhouse. Before experiments, the insects were maintained either on an aqueous 6% glucose solution presented on filter paper wicks or on stem cuttings of Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed).\n Detection of plant sugars in mosquitoes using the anthrone test The anthrone test was used to determine the presence of sugars in the mosquitoes. To do so standard sucrose solutions of different strengths in the series 1, 2, 4, 8, 16, 32, 64, 128 and 256 μg/μl were prepared. Initially, 25.6 g of reagent grade sucrose was dissolved in 50 ml of distilled water. More water was added gradually while mixing to make a 100 ml solution from which the serial dilutions were prepared. Distilled water served as the neutral liquid. These solutions were stored at −4°C. Diluted sulphuric acid was then prepared by mixing 380 ml concentrated sulphuric acid with 150 ml distilled water in a fume hood. The whole solution was cooled for 5 hours at room temperature and further for 12 hours in the refrigerator at 5°C before use. Anthrone reagent was then prepared by mixing 0.15 g of anthrone powder per 100 ml of the diluted sulphuric acid.\nTwo test tube racks were used with each rack holding one hundred 5-ml test tubes. A third rack was used to hold 10 test tubes for the standard sucrose solutions. The standards were prepared by pipetting 1 μl from each of the nine standard sucrose solutions into the nine separate test tubes. The tenth tube contained 1 μl of distilled water. The other two racks were used to hold both sexes of uninfected and M. anisopliae-exposed An. gambiae mosquitoes. Each tube held one mosquito. One drop each of chloroform and methanol in the ratio 1:1 was added to each tube containing mosquitoes to dissolve the cuticle. The racks were held in a fume hood where 0.5 ml of anthrone reagent was added to the standards and the tubes containing mosquitoes. The racks were then transferred into a water bath at room temperature for one hr. In the presence of sugar, the colour of the solutions changed from green to green-blue and further dark-blue depending on the amount of sugar. In absence of sugar, the colour of the sample was transparent yellow. After one hour the results were read by comparing the colour change in tubes containing mosquitoes and those with standard solutions.\nThe anthrone test was used to determine the presence of sugars in the mosquitoes. To do so standard sucrose solutions of different strengths in the series 1, 2, 4, 8, 16, 32, 64, 128 and 256 μg/μl were prepared. Initially, 25.6 g of reagent grade sucrose was dissolved in 50 ml of distilled water. More water was added gradually while mixing to make a 100 ml solution from which the serial dilutions were prepared. Distilled water served as the neutral liquid. These solutions were stored at −4°C. Diluted sulphuric acid was then prepared by mixing 380 ml concentrated sulphuric acid with 150 ml distilled water in a fume hood. The whole solution was cooled for 5 hours at room temperature and further for 12 hours in the refrigerator at 5°C before use. Anthrone reagent was then prepared by mixing 0.15 g of anthrone powder per 100 ml of the diluted sulphuric acid.\nTwo test tube racks were used with each rack holding one hundred 5-ml test tubes. A third rack was used to hold 10 test tubes for the standard sucrose solutions. The standards were prepared by pipetting 1 μl from each of the nine standard sucrose solutions into the nine separate test tubes. The tenth tube contained 1 μl of distilled water. The other two racks were used to hold both sexes of uninfected and M. anisopliae-exposed An. gambiae mosquitoes. Each tube held one mosquito. One drop each of chloroform and methanol in the ratio 1:1 was added to each tube containing mosquitoes to dissolve the cuticle. The racks were held in a fume hood where 0.5 ml of anthrone reagent was added to the standards and the tubes containing mosquitoes. The racks were then transferred into a water bath at room temperature for one hr. In the presence of sugar, the colour of the solutions changed from green to green-blue and further dark-blue depending on the amount of sugar. In absence of sugar, the colour of the sample was transparent yellow. After one hour the results were read by comparing the colour change in tubes containing mosquitoes and those with standard solutions.\n Fungal isolate The entomopathogenic fungus Metarhizium anisopliae isolate ICIPE 30 was used (courtesy Dr. N.K. Maniania). This fungus was originally isolated from the stem borer Busseola fusca (Lepidoptera, Noctuidea) in Kendu Bay, western Kenya, in 1999 and has been maintained at the icipe’s Germplasm Centre. Conidia were produced on long rice as substrate [24]. Harvested spores were dried for 48 hours in a desiccator containing active silica gel and stored in a refrigerator (4-6°C) until required. The viability of spores was determined before being used in the experiments. Germination rates >85% after 24 hours on Sabouraud dextrose agar was considered adequate for use in the experiments.\nThe entomopathogenic fungus Metarhizium anisopliae isolate ICIPE 30 was used (courtesy Dr. N.K. Maniania). This fungus was originally isolated from the stem borer Busseola fusca (Lepidoptera, Noctuidea) in Kendu Bay, western Kenya, in 1999 and has been maintained at the icipe’s Germplasm Centre. Conidia were produced on long rice as substrate [24]. Harvested spores were dried for 48 hours in a desiccator containing active silica gel and stored in a refrigerator (4-6°C) until required. The viability of spores was determined before being used in the experiments. Germination rates >85% after 24 hours on Sabouraud dextrose agar was considered adequate for use in the experiments.\n Fungal infection process Transparent plastic cylinders (9 cm diameter; 15 cm height) were used to inoculate An. gambiae mosquitoes with spores of M. anisopliae. The inside vertical surface and the circular base of each cylinder were lined with white rough-surfaced velvex tissue papers that measured 28.6 × 14.3 cm (for vertical surface) and 9 cm in diameter (for circular base area). A piece of mosquito netting material was secured over the mouth of each cylinder using a rubber band. A hole was punched at the centre of the net to serve as an introduction point for experimental mosquitoes. Each cylinder was held in a slanting position and 0.1 g (approx. 1.0 × 1011 conidia/m2) of M. anisopliae spores were weighed and poured on the paper. Using both hands, the cylinders were rolled several times until the papers were uniformly covered by the spores. The inner and the base surfaces of the cylinder used for uninfected mosquitoes were lined with white rough paper without spores.\nFor survival experiments, a total of four cylinders with fungus and four cylinders without fungus were used. Of these, two cylinders with fungus and two cylinders without fungus were each used to infect male and female mosquitoes separately. Sixty 1-d-old female and male mosquitoes were introduced into each of their respective four cylinders. The insects were held for six hr being supplied with 6% glucose solution soaked in a cotton pad and placed on top of the netting material covering the cylinder. The mosquitoes were then transferred into four separate holding cages (30 × 30 × 30 cm) based on sex and treatment and were supplied with 6% glucose solution on filter paper wicks. The insects were maintained under ambient conditions inside a screenhouse at 28 ± 2°C and 70 ± 5% r.h. For studies to evaluate plant material this procedure was repeated to infect the mosquitoes but the insects were provided with floral parts of R. communis and P. hysterophorous separately as source of sugar instead of 6% glucose solution. The base of the floral parts was hooked on the netting material covering the mouth of each cylinder using a tooth pick to suspend the plant inside the cylinder.\nFor sugar quantity and digestion rate experiments, five cylinders with fungus and three cylinders without fungus were used to infect female mosquitoes. The same numbers of cylinders were used to infect male mosquitoes. The number of mosquitoes exposed to fungus was higher than for the uninfected group to adjust for mortality in the holding cages prior to the start of the experiments on days one and three post-exposure.\nTransparent plastic cylinders (9 cm diameter; 15 cm height) were used to inoculate An. gambiae mosquitoes with spores of M. anisopliae. The inside vertical surface and the circular base of each cylinder were lined with white rough-surfaced velvex tissue papers that measured 28.6 × 14.3 cm (for vertical surface) and 9 cm in diameter (for circular base area). A piece of mosquito netting material was secured over the mouth of each cylinder using a rubber band. A hole was punched at the centre of the net to serve as an introduction point for experimental mosquitoes. Each cylinder was held in a slanting position and 0.1 g (approx. 1.0 × 1011 conidia/m2) of M. anisopliae spores were weighed and poured on the paper. Using both hands, the cylinders were rolled several times until the papers were uniformly covered by the spores. The inner and the base surfaces of the cylinder used for uninfected mosquitoes were lined with white rough paper without spores.\nFor survival experiments, a total of four cylinders with fungus and four cylinders without fungus were used. Of these, two cylinders with fungus and two cylinders without fungus were each used to infect male and female mosquitoes separately. Sixty 1-d-old female and male mosquitoes were introduced into each of their respective four cylinders. The insects were held for six hr being supplied with 6% glucose solution soaked in a cotton pad and placed on top of the netting material covering the cylinder. The mosquitoes were then transferred into four separate holding cages (30 × 30 × 30 cm) based on sex and treatment and were supplied with 6% glucose solution on filter paper wicks. The insects were maintained under ambient conditions inside a screenhouse at 28 ± 2°C and 70 ± 5% r.h. For studies to evaluate plant material this procedure was repeated to infect the mosquitoes but the insects were provided with floral parts of R. communis and P. hysterophorous separately as source of sugar instead of 6% glucose solution. The base of the floral parts was hooked on the netting material covering the mouth of each cylinder using a tooth pick to suspend the plant inside the cylinder.\nFor sugar quantity and digestion rate experiments, five cylinders with fungus and three cylinders without fungus were used to infect female mosquitoes. The same numbers of cylinders were used to infect male mosquitoes. The number of mosquitoes exposed to fungus was higher than for the uninfected group to adjust for mortality in the holding cages prior to the start of the experiments on days one and three post-exposure.\n Plant species Two plant species namely Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed) were used. Ricinus communis has been demonstrated to enhance survival of An. gambiae and P. hysterophorus as most frequently visited by this mosquito species [19]. Five, fresh stems cut from each plant with leaves and floral parts intact were used in the study. The cuttings were collected from the agricultural field at icipe, Mbita Point, western Kenya where the plants grow naturally.\nTwo plant species namely Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed) were used. Ricinus communis has been demonstrated to enhance survival of An. gambiae and P. hysterophorus as most frequently visited by this mosquito species [19]. Five, fresh stems cut from each plant with leaves and floral parts intact were used in the study. The cuttings were collected from the agricultural field at icipe, Mbita Point, western Kenya where the plants grow naturally.\n Survival of M. anisopliae-infected An. gambiae mosquitoes fed on plant sugars To study the effect of fungus on the survival of M. anisopliae-infected An. gambiae mosquitoes on plant sugars, one hundred male and 100 female An. gambiae mosquitoes exposed to M. anisopliae for six hours upon emergence were held in separate cages (30 × 30 × 30 cm). Each cage was supplied with 250-ml flat bottomed conical flask containing 200-ml filtered Lake Victoria water and five stems (with leaves and floral parts intact) of R. communis. The stems were replaced every two days. Mosquito mortality was recorded daily to determine the length of time over which the mosquitoes survived. Dead individuals were plated in a Petri dish lined with wet filter paper and incubated at 28 ± 2°C. Fungal growth on mosquito cadavers was observed after three days at 400× magnification under a compound microscope. The experiment was replicated four times. This procedure was repeated using P. hysterophorus as an alternative test plant and 6% glucose solution on filter paper wicks as a control. Glucose solution was changed every two days.\nTo study the effect of fungus on the survival of M. anisopliae-infected An. gambiae mosquitoes on plant sugars, one hundred male and 100 female An. gambiae mosquitoes exposed to M. anisopliae for six hours upon emergence were held in separate cages (30 × 30 × 30 cm). Each cage was supplied with 250-ml flat bottomed conical flask containing 200-ml filtered Lake Victoria water and five stems (with leaves and floral parts intact) of R. communis. The stems were replaced every two days. Mosquito mortality was recorded daily to determine the length of time over which the mosquitoes survived. Dead individuals were plated in a Petri dish lined with wet filter paper and incubated at 28 ± 2°C. Fungal growth on mosquito cadavers was observed after three days at 400× magnification under a compound microscope. The experiment was replicated four times. This procedure was repeated using P. hysterophorus as an alternative test plant and 6% glucose solution on filter paper wicks as a control. Glucose solution was changed every two days.\n Quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes In order to determine the quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes, preliminary experiments were conducted to determine the length of time required for individual mosquitoes to feed fully. Three groups of female mosquitoes each composed of 50 individuals were fed on stems (with leaves and floral parts intact) of R. communis for separate periods of 6, 12 and 24 hours. The experiments were replicated four times over time. This procedure was repeated with male mosquitoes. Both male and female mosquitoes took 12 hours to satiate. Thus, the amount of sugar ingested from stems of R. communis by male and female mosquitoes, one and three days post-exposure to M. anisopliae, was evaluated after every 12 hours of feeding. One day after exposure to fungus, fifty male and female mosquitoes were aspirated, each from their respective uninfected and fungus-exposed cages and released into four separate cages. The insects were starved for 6 hrs prior to introduction of a 250-ml conical flask containing stems of R. communis in each cage. After 12 hours of feeding, the insects were removed from the cages and held in four separate collection cups. The insects were held inside a refrigerator at 4°C for 30 min and their sugar levels were quantified following the procedure earlier described on ‘detection of plant sugars in mosquitoes using anthrone test’. The experiment was replicated four times. This procedure was repeated with mosquitoes three days post-infection.\nIn order to determine the quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes, preliminary experiments were conducted to determine the length of time required for individual mosquitoes to feed fully. Three groups of female mosquitoes each composed of 50 individuals were fed on stems (with leaves and floral parts intact) of R. communis for separate periods of 6, 12 and 24 hours. The experiments were replicated four times over time. This procedure was repeated with male mosquitoes. Both male and female mosquitoes took 12 hours to satiate. Thus, the amount of sugar ingested from stems of R. communis by male and female mosquitoes, one and three days post-exposure to M. anisopliae, was evaluated after every 12 hours of feeding. One day after exposure to fungus, fifty male and female mosquitoes were aspirated, each from their respective uninfected and fungus-exposed cages and released into four separate cages. The insects were starved for 6 hrs prior to introduction of a 250-ml conical flask containing stems of R. communis in each cage. After 12 hours of feeding, the insects were removed from the cages and held in four separate collection cups. The insects were held inside a refrigerator at 4°C for 30 min and their sugar levels were quantified following the procedure earlier described on ‘detection of plant sugars in mosquitoes using anthrone test’. The experiment was replicated four times. This procedure was repeated with mosquitoes three days post-infection.\n Sugar digestion rate of M. anisopliae-infected An. gambiae mosquitoes The digestion rate of An. gambiae mosquitoes exposed to M. anisopliae was determined by feeding males and females on R. communis. One day after exposure to fungus, 50 mosquitoes were aspirated from each cage holding uninfected and fungus-exposed mosquitoes and released into four separate cages. The mosquitoes were starved for 6 hours prior to introduction of the plant in a 250-ml conical flask in each cage. Mosquitoes were allowed to feed on R. communis for 12 hours after which the flasks containing the plant were removed from the cages. Fifty mosquitoes that appeared fully fed were also removed and held in separate cages from where ten mosquitoes were removed at an interval of 8 hours starting from time zero through to 32 hours post-feeding. Removed mosquitoes were held inside a refrigerator at 4°C for 30 min and the quantity of sugar in them, and by extension digestion rate, determined following the procedure earlier described. The experiment was replicated four times. The same procedure was repeated with groups of mosquitoes three days post-exposure to M. anisopliae.\nThe digestion rate of An. gambiae mosquitoes exposed to M. anisopliae was determined by feeding males and females on R. communis. One day after exposure to fungus, 50 mosquitoes were aspirated from each cage holding uninfected and fungus-exposed mosquitoes and released into four separate cages. The mosquitoes were starved for 6 hours prior to introduction of the plant in a 250-ml conical flask in each cage. Mosquitoes were allowed to feed on R. communis for 12 hours after which the flasks containing the plant were removed from the cages. Fifty mosquitoes that appeared fully fed were also removed and held in separate cages from where ten mosquitoes were removed at an interval of 8 hours starting from time zero through to 32 hours post-feeding. Removed mosquitoes were held inside a refrigerator at 4°C for 30 min and the quantity of sugar in them, and by extension digestion rate, determined following the procedure earlier described. The experiment was replicated four times. The same procedure was repeated with groups of mosquitoes three days post-exposure to M. anisopliae.\n Ethical approval Ethical approval for this study was given by the Kenya National Ethical Review Committee located at the Kenya Medical Research Institute (NON-SSC Protocol number 203).\nEthical approval for this study was given by the Kenya National Ethical Review Committee located at the Kenya Medical Research Institute (NON-SSC Protocol number 203).\n Statistics Survival of uninfected and M. anisopliae-infected mosquitoes on glucose (6%), R. communis and P. hysterophorous was calculated by expressing the number of mosquitoes that succumbed to mortality as a percentage of the total number tested. Differences in survival between uninfected and fungus-infected groups were estimated using Cox regression analysis. Mortality rates, expressed as Hazard Ratio (HR) were used to estimate the risk of dying when infected compared to when not infected with fungus. To evaluate effects of infection on the amount of sugar ingested by infected (one and three days post-exposure) and control mosquitoes, first the number of mosquitoes that had fed on R. communis was expressed as a percentage of the total number tested. Further, the number of mosquitoes that imbibed small, medium and large quantities of sugar, respectively, was expressed as the mean percentage of the total number of mosquitoes tested. The difference between control and fungus-infected mosquitoes was calculated with the Chi square (χ2) test [25]. The digestion rate of the sugar ingested by mosquitoes one and three days post-exposure was each calculated by logistic regression. Logistic relationships for uninfected and fungus-exposed mosquitoes were fitted to describe sugar detection success for each time elapsed since feeding. The difference between uninfected and fungus-exposed mosquitoes was estimated by the Chi square (χ2) test. All analyses were conducted using SPSS (version 17.0)\nSurvival of uninfected and M. anisopliae-infected mosquitoes on glucose (6%), R. communis and P. hysterophorous was calculated by expressing the number of mosquitoes that succumbed to mortality as a percentage of the total number tested. Differences in survival between uninfected and fungus-infected groups were estimated using Cox regression analysis. Mortality rates, expressed as Hazard Ratio (HR) were used to estimate the risk of dying when infected compared to when not infected with fungus. To evaluate effects of infection on the amount of sugar ingested by infected (one and three days post-exposure) and control mosquitoes, first the number of mosquitoes that had fed on R. communis was expressed as a percentage of the total number tested. Further, the number of mosquitoes that imbibed small, medium and large quantities of sugar, respectively, was expressed as the mean percentage of the total number of mosquitoes tested. The difference between control and fungus-infected mosquitoes was calculated with the Chi square (χ2) test [25]. The digestion rate of the sugar ingested by mosquitoes one and three days post-exposure was each calculated by logistic regression. Logistic relationships for uninfected and fungus-exposed mosquitoes were fitted to describe sugar detection success for each time elapsed since feeding. The difference between uninfected and fungus-exposed mosquitoes was estimated by the Chi square (χ2) test. All analyses were conducted using SPSS (version 17.0)", "Experiments were carried out using laboratory-reared Anopheles gambiae Giles sensu stricto (hereafter termed An. gambiae) mosquitoes obtained from a colony established from wild gravid females collected at Mbita Point (000 25’S, 340 13’E), western Kenya in 1999. All mosquito life stages were maintained under ambient conditions in a mosquito insectary present at the Thomas Odhiambo Campus (TOC) of the International Centre of Insect Physiology and Ecology (icipe) located near Mbita Point Township in western Kenya. Larval and adult stages of the mosquitoes were raised using procedures described previously [23]. Both sexes were separated at emergence and held under ambient conditions in 30 × 30 × 30 cm cages inside a screenhouse. Before experiments, the insects were maintained either on an aqueous 6% glucose solution presented on filter paper wicks or on stem cuttings of Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed).", "The anthrone test was used to determine the presence of sugars in the mosquitoes. To do so standard sucrose solutions of different strengths in the series 1, 2, 4, 8, 16, 32, 64, 128 and 256 μg/μl were prepared. Initially, 25.6 g of reagent grade sucrose was dissolved in 50 ml of distilled water. More water was added gradually while mixing to make a 100 ml solution from which the serial dilutions were prepared. Distilled water served as the neutral liquid. These solutions were stored at −4°C. Diluted sulphuric acid was then prepared by mixing 380 ml concentrated sulphuric acid with 150 ml distilled water in a fume hood. The whole solution was cooled for 5 hours at room temperature and further for 12 hours in the refrigerator at 5°C before use. Anthrone reagent was then prepared by mixing 0.15 g of anthrone powder per 100 ml of the diluted sulphuric acid.\nTwo test tube racks were used with each rack holding one hundred 5-ml test tubes. A third rack was used to hold 10 test tubes for the standard sucrose solutions. The standards were prepared by pipetting 1 μl from each of the nine standard sucrose solutions into the nine separate test tubes. The tenth tube contained 1 μl of distilled water. The other two racks were used to hold both sexes of uninfected and M. anisopliae-exposed An. gambiae mosquitoes. Each tube held one mosquito. One drop each of chloroform and methanol in the ratio 1:1 was added to each tube containing mosquitoes to dissolve the cuticle. The racks were held in a fume hood where 0.5 ml of anthrone reagent was added to the standards and the tubes containing mosquitoes. The racks were then transferred into a water bath at room temperature for one hr. In the presence of sugar, the colour of the solutions changed from green to green-blue and further dark-blue depending on the amount of sugar. In absence of sugar, the colour of the sample was transparent yellow. After one hour the results were read by comparing the colour change in tubes containing mosquitoes and those with standard solutions.", "The entomopathogenic fungus Metarhizium anisopliae isolate ICIPE 30 was used (courtesy Dr. N.K. Maniania). This fungus was originally isolated from the stem borer Busseola fusca (Lepidoptera, Noctuidea) in Kendu Bay, western Kenya, in 1999 and has been maintained at the icipe’s Germplasm Centre. Conidia were produced on long rice as substrate [24]. Harvested spores were dried for 48 hours in a desiccator containing active silica gel and stored in a refrigerator (4-6°C) until required. The viability of spores was determined before being used in the experiments. Germination rates >85% after 24 hours on Sabouraud dextrose agar was considered adequate for use in the experiments.", "Transparent plastic cylinders (9 cm diameter; 15 cm height) were used to inoculate An. gambiae mosquitoes with spores of M. anisopliae. The inside vertical surface and the circular base of each cylinder were lined with white rough-surfaced velvex tissue papers that measured 28.6 × 14.3 cm (for vertical surface) and 9 cm in diameter (for circular base area). A piece of mosquito netting material was secured over the mouth of each cylinder using a rubber band. A hole was punched at the centre of the net to serve as an introduction point for experimental mosquitoes. Each cylinder was held in a slanting position and 0.1 g (approx. 1.0 × 1011 conidia/m2) of M. anisopliae spores were weighed and poured on the paper. Using both hands, the cylinders were rolled several times until the papers were uniformly covered by the spores. The inner and the base surfaces of the cylinder used for uninfected mosquitoes were lined with white rough paper without spores.\nFor survival experiments, a total of four cylinders with fungus and four cylinders without fungus were used. Of these, two cylinders with fungus and two cylinders without fungus were each used to infect male and female mosquitoes separately. Sixty 1-d-old female and male mosquitoes were introduced into each of their respective four cylinders. The insects were held for six hr being supplied with 6% glucose solution soaked in a cotton pad and placed on top of the netting material covering the cylinder. The mosquitoes were then transferred into four separate holding cages (30 × 30 × 30 cm) based on sex and treatment and were supplied with 6% glucose solution on filter paper wicks. The insects were maintained under ambient conditions inside a screenhouse at 28 ± 2°C and 70 ± 5% r.h. For studies to evaluate plant material this procedure was repeated to infect the mosquitoes but the insects were provided with floral parts of R. communis and P. hysterophorous separately as source of sugar instead of 6% glucose solution. The base of the floral parts was hooked on the netting material covering the mouth of each cylinder using a tooth pick to suspend the plant inside the cylinder.\nFor sugar quantity and digestion rate experiments, five cylinders with fungus and three cylinders without fungus were used to infect female mosquitoes. The same numbers of cylinders were used to infect male mosquitoes. The number of mosquitoes exposed to fungus was higher than for the uninfected group to adjust for mortality in the holding cages prior to the start of the experiments on days one and three post-exposure.", "Two plant species namely Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed) were used. Ricinus communis has been demonstrated to enhance survival of An. gambiae and P. hysterophorus as most frequently visited by this mosquito species [19]. Five, fresh stems cut from each plant with leaves and floral parts intact were used in the study. The cuttings were collected from the agricultural field at icipe, Mbita Point, western Kenya where the plants grow naturally.", "To study the effect of fungus on the survival of M. anisopliae-infected An. gambiae mosquitoes on plant sugars, one hundred male and 100 female An. gambiae mosquitoes exposed to M. anisopliae for six hours upon emergence were held in separate cages (30 × 30 × 30 cm). Each cage was supplied with 250-ml flat bottomed conical flask containing 200-ml filtered Lake Victoria water and five stems (with leaves and floral parts intact) of R. communis. The stems were replaced every two days. Mosquito mortality was recorded daily to determine the length of time over which the mosquitoes survived. Dead individuals were plated in a Petri dish lined with wet filter paper and incubated at 28 ± 2°C. Fungal growth on mosquito cadavers was observed after three days at 400× magnification under a compound microscope. The experiment was replicated four times. This procedure was repeated using P. hysterophorus as an alternative test plant and 6% glucose solution on filter paper wicks as a control. Glucose solution was changed every two days.", "In order to determine the quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes, preliminary experiments were conducted to determine the length of time required for individual mosquitoes to feed fully. Three groups of female mosquitoes each composed of 50 individuals were fed on stems (with leaves and floral parts intact) of R. communis for separate periods of 6, 12 and 24 hours. The experiments were replicated four times over time. This procedure was repeated with male mosquitoes. Both male and female mosquitoes took 12 hours to satiate. Thus, the amount of sugar ingested from stems of R. communis by male and female mosquitoes, one and three days post-exposure to M. anisopliae, was evaluated after every 12 hours of feeding. One day after exposure to fungus, fifty male and female mosquitoes were aspirated, each from their respective uninfected and fungus-exposed cages and released into four separate cages. The insects were starved for 6 hrs prior to introduction of a 250-ml conical flask containing stems of R. communis in each cage. After 12 hours of feeding, the insects were removed from the cages and held in four separate collection cups. The insects were held inside a refrigerator at 4°C for 30 min and their sugar levels were quantified following the procedure earlier described on ‘detection of plant sugars in mosquitoes using anthrone test’. The experiment was replicated four times. This procedure was repeated with mosquitoes three days post-infection.", "The digestion rate of An. gambiae mosquitoes exposed to M. anisopliae was determined by feeding males and females on R. communis. One day after exposure to fungus, 50 mosquitoes were aspirated from each cage holding uninfected and fungus-exposed mosquitoes and released into four separate cages. The mosquitoes were starved for 6 hours prior to introduction of the plant in a 250-ml conical flask in each cage. Mosquitoes were allowed to feed on R. communis for 12 hours after which the flasks containing the plant were removed from the cages. Fifty mosquitoes that appeared fully fed were also removed and held in separate cages from where ten mosquitoes were removed at an interval of 8 hours starting from time zero through to 32 hours post-feeding. Removed mosquitoes were held inside a refrigerator at 4°C for 30 min and the quantity of sugar in them, and by extension digestion rate, determined following the procedure earlier described. The experiment was replicated four times. The same procedure was repeated with groups of mosquitoes three days post-exposure to M. anisopliae.", "Ethical approval for this study was given by the Kenya National Ethical Review Committee located at the Kenya Medical Research Institute (NON-SSC Protocol number 203).", "Survival of uninfected and M. anisopliae-infected mosquitoes on glucose (6%), R. communis and P. hysterophorous was calculated by expressing the number of mosquitoes that succumbed to mortality as a percentage of the total number tested. Differences in survival between uninfected and fungus-infected groups were estimated using Cox regression analysis. Mortality rates, expressed as Hazard Ratio (HR) were used to estimate the risk of dying when infected compared to when not infected with fungus. To evaluate effects of infection on the amount of sugar ingested by infected (one and three days post-exposure) and control mosquitoes, first the number of mosquitoes that had fed on R. communis was expressed as a percentage of the total number tested. Further, the number of mosquitoes that imbibed small, medium and large quantities of sugar, respectively, was expressed as the mean percentage of the total number of mosquitoes tested. The difference between control and fungus-infected mosquitoes was calculated with the Chi square (χ2) test [25]. The digestion rate of the sugar ingested by mosquitoes one and three days post-exposure was each calculated by logistic regression. Logistic relationships for uninfected and fungus-exposed mosquitoes were fitted to describe sugar detection success for each time elapsed since feeding. The difference between uninfected and fungus-exposed mosquitoes was estimated by the Chi square (χ2) test. All analyses were conducted using SPSS (version 17.0)", " Survival of M. anisopliae-infected An. gambiae mosquitoes fed on plant sugars Infection with M. anisopliae reduced the survival of both sexes of An. gambiae with 100% mortality occurring within seven days compared to ≥ seven days with uninfected mosquitoes irrespective of the nutritional source (Figure 1). Survival of infected male and female mosquitoes in each nutritional group was significantly different from their respective controls. For example, the daily risk of death for both sexes was eight-fold greater on 6% glucose; four-fold (males) and eight-fold (females) greater on R. communis and two-fold greater for both sexes on P. hysterophorus relative to their controls (Table 1). In uninfected mosquitoes, the daily risk of death was three-fold greater for both males (HR = 3.4 [95% CI = 2.91 - 4.21], P = 0.0001) and females (HR = 2.9 [95% CI = 2.45 - 3.55], P = 0.0001) fed on R. communis and 14-fold greater for males (HR = 14.1 [95% CI = 11.33 - 17.6], P = 0.0001) and 13-fold greater for females (HR = 13.4 [95% CI = 10.71 - 16.8], P = 0.0001) fed on P. hysterophorus relative to 6% glucose. Therefore, P. hysterophorus caused a drastic reduction in the survival of mosquitoes regardless of fungal infection. Between sexes, survival rate over time in each nutritional regime was not different. Mycosis test results indicated high infection rates (>77%) in fungus-exposed male and female mosquitoes. No fungal conidia were observed on the cadavers of the control mosquitoes.Figure 1\nSurvival of uninfected and\nM. anisopliae\n-infected\nAn. gambiae\nfemales (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6%\nglucose (panel A and B); (ii)\nRicinus communis\n(panel C and D) and (iii)\nParthenium hysterophorus\n(Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively.Table 1\nSurvival analysis of\nAn. gambiae\nmosquitoes infected with\nM. anisopliae\nand fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus)\n\nNutritional sources\n\nHR (95%\nCI)\n\nMale mosquitoes\n\nP-value\n\nFemale mosquitoes\n\nP-value\nGlucose (6%)8.53 (6.68 - 10.89)0.00017.64 (5.99 - 9.75)0.0001\nRicinus communis\n4.33 (3.59 - 5.23)0.00018.21 (6.49 - 10.37)0.0001\nParthenium hysterophorus\n1.62 (1.40 - 1.89)0.00012.15 (1.85 - 2.50)0.0001\n\nSurvival of uninfected and\nM. anisopliae\n-infected\nAn. gambiae\nfemales (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6%\nglucose (panel A and B); (ii)\nRicinus communis\n(panel C and D) and (iii)\nParthenium hysterophorus\n(Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively.\n\nSurvival analysis of\nAn. gambiae\nmosquitoes infected with\nM. anisopliae\nand fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus)\n\nInfection with M. anisopliae reduced the survival of both sexes of An. gambiae with 100% mortality occurring within seven days compared to ≥ seven days with uninfected mosquitoes irrespective of the nutritional source (Figure 1). Survival of infected male and female mosquitoes in each nutritional group was significantly different from their respective controls. For example, the daily risk of death for both sexes was eight-fold greater on 6% glucose; four-fold (males) and eight-fold (females) greater on R. communis and two-fold greater for both sexes on P. hysterophorus relative to their controls (Table 1). In uninfected mosquitoes, the daily risk of death was three-fold greater for both males (HR = 3.4 [95% CI = 2.91 - 4.21], P = 0.0001) and females (HR = 2.9 [95% CI = 2.45 - 3.55], P = 0.0001) fed on R. communis and 14-fold greater for males (HR = 14.1 [95% CI = 11.33 - 17.6], P = 0.0001) and 13-fold greater for females (HR = 13.4 [95% CI = 10.71 - 16.8], P = 0.0001) fed on P. hysterophorus relative to 6% glucose. Therefore, P. hysterophorus caused a drastic reduction in the survival of mosquitoes regardless of fungal infection. Between sexes, survival rate over time in each nutritional regime was not different. Mycosis test results indicated high infection rates (>77%) in fungus-exposed male and female mosquitoes. No fungal conidia were observed on the cadavers of the control mosquitoes.Figure 1\nSurvival of uninfected and\nM. anisopliae\n-infected\nAn. gambiae\nfemales (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6%\nglucose (panel A and B); (ii)\nRicinus communis\n(panel C and D) and (iii)\nParthenium hysterophorus\n(Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively.Table 1\nSurvival analysis of\nAn. gambiae\nmosquitoes infected with\nM. anisopliae\nand fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus)\n\nNutritional sources\n\nHR (95%\nCI)\n\nMale mosquitoes\n\nP-value\n\nFemale mosquitoes\n\nP-value\nGlucose (6%)8.53 (6.68 - 10.89)0.00017.64 (5.99 - 9.75)0.0001\nRicinus communis\n4.33 (3.59 - 5.23)0.00018.21 (6.49 - 10.37)0.0001\nParthenium hysterophorus\n1.62 (1.40 - 1.89)0.00012.15 (1.85 - 2.50)0.0001\n\nSurvival of uninfected and\nM. anisopliae\n-infected\nAn. gambiae\nfemales (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6%\nglucose (panel A and B); (ii)\nRicinus communis\n(panel C and D) and (iii)\nParthenium hysterophorus\n(Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively.\n\nSurvival analysis of\nAn. gambiae\nmosquitoes infected with\nM. anisopliae\nand fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus)\n\n Quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes The quantity of sugar detected ranged from 1–64 μg. For easy analysis of the data, the mosquitoes were categorised as consumers of small, medium or large meals [26] if they imbibed 1–4 μg, 8–16 μg or 32–64 μg of sugar, respectively. Significantly fewer male and female mosquitoes exposed to fungus imbibed sugar from R. communis compared to mosquitoes not exposed to fungus (Figure 2). More uninfected than fungus-exposed mosquitoes ingested plant sugar. Fewer mosquitoes imbibed plant sugars at three days post-exposure than at one day post-exposure. Although fungus-exposed mosquitoes ingested less sugar than uninfected counterparts the differences were generally insignificant except for medium-feeding females three days post-exposure (Table 2) and small-feeding males, one and three days post-exposure (Table 3). Results from the mycosis test demonstrated high infection rates (>75%) in fungus-exposed males and females. No fungal hyphae were observed on the cadavers of control mosquitoes.Figure 2\nMean (± S.E) percentage of uninfected and\nM. anisopliae\n- infected\nAn. gambiae\nmales (Panel A) and females (Panel B) that imbibed sugar on exposure to\nRicinus communis\nfor 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square (\nχ\n2\n) test. Each treatment tested 200 mosquitoes.Table 2\nMean (± S.E) percentage of uninfected and fungus-infected\nAn. gambiae\nfemale mosquitoes (see Figure\n1\n) that imbibed different amounts of sugar when fed on\nRicinus communis\nfor 12 hours\n\nSugar quantity\n\nDays post-exposure\n\nN\n\nMean% (± S.E) of males that imbibed sugar\n\nχ\n2\n\nP\n\nUninfected\n\nFungus-infected\nSmall1447.5 ± 8.5438.0 ± 7.963.690.055Medium429.0 ± 4.5126.0 ± 4.080.450.502Large418.5 ± 8.2219.5 ± 6.290.070.799Small3435.0 ± 4.1230.0 ± 5.61.140.286Medium422.0 ± 2.226.0 ± 2.1622.280.001Large412.0 ± 4.696.5 ± 6.53.600.058One and three d post-exposure females were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.Table 3\nMean (± S.E) percentage of uninfected and fungus-infected\nAn. gambiae\nmale mosquitoes (see Figure\n1\n) that imbibed different amounts of sugar when fed on\nRicinus communis\nfor 12 hr\n\nSugar quantity\n\nDays post-exposure\n\nN\n\nMean% (± S.E) of males that imbibed sugar\n\nχ\n2\n\nP\n\nUninfected\n\nFungus-infected\nSmall1456.0 ± 6.1641.0 ± 9.479.010.003Medium422.0 ± 3.5621.5 ± 4.190.020.903Large49.5 ± 1.716.5 ± 2.631.220.269Small3452.0 ± 8.4937.0 ± 6.149.110.003Medium416.5 ± 0.5010.5 ± 7.373.080.079Large44.0 ± 2.451.0 ± 1.03.690.055One and three d post-exposure males were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.\n\nMean (± S.E) percentage of uninfected and\nM. anisopliae\n- infected\nAn. gambiae\nmales (Panel A) and females (Panel B) that imbibed sugar on exposure to\nRicinus communis\nfor 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square (\nχ\n2\n) test. Each treatment tested 200 mosquitoes.\n\nMean (± S.E) percentage of uninfected and fungus-infected\nAn. gambiae\nfemale mosquitoes (see Figure\n1\n) that imbibed different amounts of sugar when fed on\nRicinus communis\nfor 12 hours\n\nOne and three d post-exposure females were tested.\nStatistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.\n\nMean (± S.E) percentage of uninfected and fungus-infected\nAn. gambiae\nmale mosquitoes (see Figure\n1\n) that imbibed different amounts of sugar when fed on\nRicinus communis\nfor 12 hr\n\nOne and three d post-exposure males were tested.\nStatistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.\nThe quantity of sugar detected ranged from 1–64 μg. For easy analysis of the data, the mosquitoes were categorised as consumers of small, medium or large meals [26] if they imbibed 1–4 μg, 8–16 μg or 32–64 μg of sugar, respectively. Significantly fewer male and female mosquitoes exposed to fungus imbibed sugar from R. communis compared to mosquitoes not exposed to fungus (Figure 2). More uninfected than fungus-exposed mosquitoes ingested plant sugar. Fewer mosquitoes imbibed plant sugars at three days post-exposure than at one day post-exposure. Although fungus-exposed mosquitoes ingested less sugar than uninfected counterparts the differences were generally insignificant except for medium-feeding females three days post-exposure (Table 2) and small-feeding males, one and three days post-exposure (Table 3). Results from the mycosis test demonstrated high infection rates (>75%) in fungus-exposed males and females. No fungal hyphae were observed on the cadavers of control mosquitoes.Figure 2\nMean (± S.E) percentage of uninfected and\nM. anisopliae\n- infected\nAn. gambiae\nmales (Panel A) and females (Panel B) that imbibed sugar on exposure to\nRicinus communis\nfor 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square (\nχ\n2\n) test. Each treatment tested 200 mosquitoes.Table 2\nMean (± S.E) percentage of uninfected and fungus-infected\nAn. gambiae\nfemale mosquitoes (see Figure\n1\n) that imbibed different amounts of sugar when fed on\nRicinus communis\nfor 12 hours\n\nSugar quantity\n\nDays post-exposure\n\nN\n\nMean% (± S.E) of males that imbibed sugar\n\nχ\n2\n\nP\n\nUninfected\n\nFungus-infected\nSmall1447.5 ± 8.5438.0 ± 7.963.690.055Medium429.0 ± 4.5126.0 ± 4.080.450.502Large418.5 ± 8.2219.5 ± 6.290.070.799Small3435.0 ± 4.1230.0 ± 5.61.140.286Medium422.0 ± 2.226.0 ± 2.1622.280.001Large412.0 ± 4.696.5 ± 6.53.600.058One and three d post-exposure females were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.Table 3\nMean (± S.E) percentage of uninfected and fungus-infected\nAn. gambiae\nmale mosquitoes (see Figure\n1\n) that imbibed different amounts of sugar when fed on\nRicinus communis\nfor 12 hr\n\nSugar quantity\n\nDays post-exposure\n\nN\n\nMean% (± S.E) of males that imbibed sugar\n\nχ\n2\n\nP\n\nUninfected\n\nFungus-infected\nSmall1456.0 ± 6.1641.0 ± 9.479.010.003Medium422.0 ± 3.5621.5 ± 4.190.020.903Large49.5 ± 1.716.5 ± 2.631.220.269Small3452.0 ± 8.4937.0 ± 6.149.110.003Medium416.5 ± 0.5010.5 ± 7.373.080.079Large44.0 ± 2.451.0 ± 1.03.690.055One and three d post-exposure males were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.\n\nMean (± S.E) percentage of uninfected and\nM. anisopliae\n- infected\nAn. gambiae\nmales (Panel A) and females (Panel B) that imbibed sugar on exposure to\nRicinus communis\nfor 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square (\nχ\n2\n) test. Each treatment tested 200 mosquitoes.\n\nMean (± S.E) percentage of uninfected and fungus-infected\nAn. gambiae\nfemale mosquitoes (see Figure\n1\n) that imbibed different amounts of sugar when fed on\nRicinus communis\nfor 12 hours\n\nOne and three d post-exposure females were tested.\nStatistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.\n\nMean (± S.E) percentage of uninfected and fungus-infected\nAn. gambiae\nmale mosquitoes (see Figure\n1\n) that imbibed different amounts of sugar when fed on\nRicinus communis\nfor 12 hr\n\nOne and three d post-exposure males were tested.\nStatistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.\n Sugar digestion rate of M. anisopliae-infected An. gambiae mosquitoes The proportions of uninfected and M. anisopliae-infected mosquitoes testing positive for plant sugar consistently decreased over time (Figure 3). For each time period since feeding, more mosquitoes, one day post-exposure to fungus, tested positive for sugar than uninfected mosquitoes but the difference was not significant except in males at 32 hours (χ2 = 6.27; df = 1; P = 0.001) and in females at 24 hours (χ2 = 10.91; df = 1; P = 0.001) and 32 hours (χ2 = 11.25; df = 1; P = 0.001) of digestion. In addition, fewer mosquitoes, three days post-exposure, than controls tested positive for sugars until 16 hours in males and 24 hours in females after feeding with the differences significant at 32 hour of digestion (males: χ2 = 6.49; df = 1; P = 0.001; females χ2 = 7.67; df = 1; P = 0.006). Cumulative scores from time zero through to the 32 hour demonstrate that, more one day post-exposure males (52% versus 45%) and females (58% versus 39%) than controls tested positive for sugar. This was an overall indication that digestion rate was slower in fungus-exposed mosquitoes. The difference was only significant for females, one day post-exposure (Table 4). Further, the proportion of three day post-exposure males (43% versus 43%) and females (53% versus 53%) with sugar was equal to that of the controls. Hence, timing of fungal exposure only had an effect on sugar digestion in females. Results from mycosis tests indicated that, on average 73-81% of males and 78-85% of females were infected with fungus but no spores were observed on the cadaver of the control mosquitoes.Figure 3\nEffect of infection with\nM. anisopliae\non sugar detection success in\nAn. gambiae\nmosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square (\nχ\n2\n) test. Each treatment tested 200 mosquitoes.Table 4\nProportion of uninfected and fungus-exposed\nAn. gambiae\nmosquitoes that tested positive for sugar within 32 hr after feeding on\nRicinus communis\nfor 12 hr\n\nSex\n\nDays post-exposure\n\nN\n\n% mosquitoes sugar positive\n\nχ\n2\n\nP\n\nPercent (± S.E) infection\n\nUninfected\n\nFungus-exposed\nMale1445521.960.16173.0 ± 3.87 (146)Female438.55815.290.00178.0 ± 4.16 (156)Male3443.5430.010.92081.0 ± 1.0 (162)Female452.5530.010.92085.0 ± 2.08 (170)Males and females were tested one and three d post-exposure.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.\n\nEffect of infection with\nM. anisopliae\non sugar detection success in\nAn. gambiae\nmosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square (\nχ\n2\n) test. Each treatment tested 200 mosquitoes.\n\nProportion of uninfected and fungus-exposed\nAn. gambiae\nmosquitoes that tested positive for sugar within 32 hr after feeding on\nRicinus communis\nfor 12 hr\n\nMales and females were tested one and three d post-exposure.\nStatistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.\nThe proportions of uninfected and M. anisopliae-infected mosquitoes testing positive for plant sugar consistently decreased over time (Figure 3). For each time period since feeding, more mosquitoes, one day post-exposure to fungus, tested positive for sugar than uninfected mosquitoes but the difference was not significant except in males at 32 hours (χ2 = 6.27; df = 1; P = 0.001) and in females at 24 hours (χ2 = 10.91; df = 1; P = 0.001) and 32 hours (χ2 = 11.25; df = 1; P = 0.001) of digestion. In addition, fewer mosquitoes, three days post-exposure, than controls tested positive for sugars until 16 hours in males and 24 hours in females after feeding with the differences significant at 32 hour of digestion (males: χ2 = 6.49; df = 1; P = 0.001; females χ2 = 7.67; df = 1; P = 0.006). Cumulative scores from time zero through to the 32 hour demonstrate that, more one day post-exposure males (52% versus 45%) and females (58% versus 39%) than controls tested positive for sugar. This was an overall indication that digestion rate was slower in fungus-exposed mosquitoes. The difference was only significant for females, one day post-exposure (Table 4). Further, the proportion of three day post-exposure males (43% versus 43%) and females (53% versus 53%) with sugar was equal to that of the controls. Hence, timing of fungal exposure only had an effect on sugar digestion in females. Results from mycosis tests indicated that, on average 73-81% of males and 78-85% of females were infected with fungus but no spores were observed on the cadaver of the control mosquitoes.Figure 3\nEffect of infection with\nM. anisopliae\non sugar detection success in\nAn. gambiae\nmosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square (\nχ\n2\n) test. Each treatment tested 200 mosquitoes.Table 4\nProportion of uninfected and fungus-exposed\nAn. gambiae\nmosquitoes that tested positive for sugar within 32 hr after feeding on\nRicinus communis\nfor 12 hr\n\nSex\n\nDays post-exposure\n\nN\n\n% mosquitoes sugar positive\n\nχ\n2\n\nP\n\nPercent (± S.E) infection\n\nUninfected\n\nFungus-exposed\nMale1445521.960.16173.0 ± 3.87 (146)Female438.55815.290.00178.0 ± 4.16 (156)Male3443.5430.010.92081.0 ± 1.0 (162)Female452.5530.010.92085.0 ± 2.08 (170)Males and females were tested one and three d post-exposure.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.\n\nEffect of infection with\nM. anisopliae\non sugar detection success in\nAn. gambiae\nmosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square (\nχ\n2\n) test. Each treatment tested 200 mosquitoes.\n\nProportion of uninfected and fungus-exposed\nAn. gambiae\nmosquitoes that tested positive for sugar within 32 hr after feeding on\nRicinus communis\nfor 12 hr\n\nMales and females were tested one and three d post-exposure.\nStatistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.", "Infection with M. anisopliae reduced the survival of both sexes of An. gambiae with 100% mortality occurring within seven days compared to ≥ seven days with uninfected mosquitoes irrespective of the nutritional source (Figure 1). Survival of infected male and female mosquitoes in each nutritional group was significantly different from their respective controls. For example, the daily risk of death for both sexes was eight-fold greater on 6% glucose; four-fold (males) and eight-fold (females) greater on R. communis and two-fold greater for both sexes on P. hysterophorus relative to their controls (Table 1). In uninfected mosquitoes, the daily risk of death was three-fold greater for both males (HR = 3.4 [95% CI = 2.91 - 4.21], P = 0.0001) and females (HR = 2.9 [95% CI = 2.45 - 3.55], P = 0.0001) fed on R. communis and 14-fold greater for males (HR = 14.1 [95% CI = 11.33 - 17.6], P = 0.0001) and 13-fold greater for females (HR = 13.4 [95% CI = 10.71 - 16.8], P = 0.0001) fed on P. hysterophorus relative to 6% glucose. Therefore, P. hysterophorus caused a drastic reduction in the survival of mosquitoes regardless of fungal infection. Between sexes, survival rate over time in each nutritional regime was not different. Mycosis test results indicated high infection rates (>77%) in fungus-exposed male and female mosquitoes. No fungal conidia were observed on the cadavers of the control mosquitoes.Figure 1\nSurvival of uninfected and\nM. anisopliae\n-infected\nAn. gambiae\nfemales (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6%\nglucose (panel A and B); (ii)\nRicinus communis\n(panel C and D) and (iii)\nParthenium hysterophorus\n(Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively.Table 1\nSurvival analysis of\nAn. gambiae\nmosquitoes infected with\nM. anisopliae\nand fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus)\n\nNutritional sources\n\nHR (95%\nCI)\n\nMale mosquitoes\n\nP-value\n\nFemale mosquitoes\n\nP-value\nGlucose (6%)8.53 (6.68 - 10.89)0.00017.64 (5.99 - 9.75)0.0001\nRicinus communis\n4.33 (3.59 - 5.23)0.00018.21 (6.49 - 10.37)0.0001\nParthenium hysterophorus\n1.62 (1.40 - 1.89)0.00012.15 (1.85 - 2.50)0.0001\n\nSurvival of uninfected and\nM. anisopliae\n-infected\nAn. gambiae\nfemales (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6%\nglucose (panel A and B); (ii)\nRicinus communis\n(panel C and D) and (iii)\nParthenium hysterophorus\n(Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively.\n\nSurvival analysis of\nAn. gambiae\nmosquitoes infected with\nM. anisopliae\nand fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus)\n", "The quantity of sugar detected ranged from 1–64 μg. For easy analysis of the data, the mosquitoes were categorised as consumers of small, medium or large meals [26] if they imbibed 1–4 μg, 8–16 μg or 32–64 μg of sugar, respectively. Significantly fewer male and female mosquitoes exposed to fungus imbibed sugar from R. communis compared to mosquitoes not exposed to fungus (Figure 2). More uninfected than fungus-exposed mosquitoes ingested plant sugar. Fewer mosquitoes imbibed plant sugars at three days post-exposure than at one day post-exposure. Although fungus-exposed mosquitoes ingested less sugar than uninfected counterparts the differences were generally insignificant except for medium-feeding females three days post-exposure (Table 2) and small-feeding males, one and three days post-exposure (Table 3). Results from the mycosis test demonstrated high infection rates (>75%) in fungus-exposed males and females. No fungal hyphae were observed on the cadavers of control mosquitoes.Figure 2\nMean (± S.E) percentage of uninfected and\nM. anisopliae\n- infected\nAn. gambiae\nmales (Panel A) and females (Panel B) that imbibed sugar on exposure to\nRicinus communis\nfor 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square (\nχ\n2\n) test. Each treatment tested 200 mosquitoes.Table 2\nMean (± S.E) percentage of uninfected and fungus-infected\nAn. gambiae\nfemale mosquitoes (see Figure\n1\n) that imbibed different amounts of sugar when fed on\nRicinus communis\nfor 12 hours\n\nSugar quantity\n\nDays post-exposure\n\nN\n\nMean% (± S.E) of males that imbibed sugar\n\nχ\n2\n\nP\n\nUninfected\n\nFungus-infected\nSmall1447.5 ± 8.5438.0 ± 7.963.690.055Medium429.0 ± 4.5126.0 ± 4.080.450.502Large418.5 ± 8.2219.5 ± 6.290.070.799Small3435.0 ± 4.1230.0 ± 5.61.140.286Medium422.0 ± 2.226.0 ± 2.1622.280.001Large412.0 ± 4.696.5 ± 6.53.600.058One and three d post-exposure females were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.Table 3\nMean (± S.E) percentage of uninfected and fungus-infected\nAn. gambiae\nmale mosquitoes (see Figure\n1\n) that imbibed different amounts of sugar when fed on\nRicinus communis\nfor 12 hr\n\nSugar quantity\n\nDays post-exposure\n\nN\n\nMean% (± S.E) of males that imbibed sugar\n\nχ\n2\n\nP\n\nUninfected\n\nFungus-infected\nSmall1456.0 ± 6.1641.0 ± 9.479.010.003Medium422.0 ± 3.5621.5 ± 4.190.020.903Large49.5 ± 1.716.5 ± 2.631.220.269Small3452.0 ± 8.4937.0 ± 6.149.110.003Medium416.5 ± 0.5010.5 ± 7.373.080.079Large44.0 ± 2.451.0 ± 1.03.690.055One and three d post-exposure males were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.\n\nMean (± S.E) percentage of uninfected and\nM. anisopliae\n- infected\nAn. gambiae\nmales (Panel A) and females (Panel B) that imbibed sugar on exposure to\nRicinus communis\nfor 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square (\nχ\n2\n) test. Each treatment tested 200 mosquitoes.\n\nMean (± S.E) percentage of uninfected and fungus-infected\nAn. gambiae\nfemale mosquitoes (see Figure\n1\n) that imbibed different amounts of sugar when fed on\nRicinus communis\nfor 12 hours\n\nOne and three d post-exposure females were tested.\nStatistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.\n\nMean (± S.E) percentage of uninfected and fungus-infected\nAn. gambiae\nmale mosquitoes (see Figure\n1\n) that imbibed different amounts of sugar when fed on\nRicinus communis\nfor 12 hr\n\nOne and three d post-exposure males were tested.\nStatistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.", "The proportions of uninfected and M. anisopliae-infected mosquitoes testing positive for plant sugar consistently decreased over time (Figure 3). For each time period since feeding, more mosquitoes, one day post-exposure to fungus, tested positive for sugar than uninfected mosquitoes but the difference was not significant except in males at 32 hours (χ2 = 6.27; df = 1; P = 0.001) and in females at 24 hours (χ2 = 10.91; df = 1; P = 0.001) and 32 hours (χ2 = 11.25; df = 1; P = 0.001) of digestion. In addition, fewer mosquitoes, three days post-exposure, than controls tested positive for sugars until 16 hours in males and 24 hours in females after feeding with the differences significant at 32 hour of digestion (males: χ2 = 6.49; df = 1; P = 0.001; females χ2 = 7.67; df = 1; P = 0.006). Cumulative scores from time zero through to the 32 hour demonstrate that, more one day post-exposure males (52% versus 45%) and females (58% versus 39%) than controls tested positive for sugar. This was an overall indication that digestion rate was slower in fungus-exposed mosquitoes. The difference was only significant for females, one day post-exposure (Table 4). Further, the proportion of three day post-exposure males (43% versus 43%) and females (53% versus 53%) with sugar was equal to that of the controls. Hence, timing of fungal exposure only had an effect on sugar digestion in females. Results from mycosis tests indicated that, on average 73-81% of males and 78-85% of females were infected with fungus but no spores were observed on the cadaver of the control mosquitoes.Figure 3\nEffect of infection with\nM. anisopliae\non sugar detection success in\nAn. gambiae\nmosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square (\nχ\n2\n) test. Each treatment tested 200 mosquitoes.Table 4\nProportion of uninfected and fungus-exposed\nAn. gambiae\nmosquitoes that tested positive for sugar within 32 hr after feeding on\nRicinus communis\nfor 12 hr\n\nSex\n\nDays post-exposure\n\nN\n\n% mosquitoes sugar positive\n\nχ\n2\n\nP\n\nPercent (± S.E) infection\n\nUninfected\n\nFungus-exposed\nMale1445521.960.16173.0 ± 3.87 (146)Female438.55815.290.00178.0 ± 4.16 (156)Male3443.5430.010.92081.0 ± 1.0 (162)Female452.5530.010.92085.0 ± 2.08 (170)Males and females were tested one and three d post-exposure.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.\n\nEffect of infection with\nM. anisopliae\non sugar detection success in\nAn. gambiae\nmosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square (\nχ\n2\n) test. Each treatment tested 200 mosquitoes.\n\nProportion of uninfected and fungus-exposed\nAn. gambiae\nmosquitoes that tested positive for sugar within 32 hr after feeding on\nRicinus communis\nfor 12 hr\n\nMales and females were tested one and three d post-exposure.\nStatistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ\n2) test. Each treatment tested 200 mosquitoes.", "Results of this study demonstrate that under ambient conditions, infection with the entomopathogenic fungus M. anisopliae reduced the daily survival of An. gambiae mosquitoes irrespective of the sugar source. Such a significant reduction in the survival of An. gambiae on glucose within 10 d after exposure to M. anisopliae has been reported previously under laboratory conditions [27-30]. Moreover, both R. communis and P. hysterophorus had a strong negative effect on survival of healthy mosquitoes. These findings are in agreement with other studies that reported longer survivorship of healthy An. gambiae mosquitoes fed on glucose than on plant-derived sugars [16,18,31].\nRecent studies have shown that An. gambiae feed from a wide variety of plants and the quantity of sugar affects their survival [17,31]. Moreover, although sugar is present in the leaves, stems and floral parts of the plants, it is in the latter that different sugar types are highly concentrated [19]. Therefore, the lower survival on plant sugars relative to 6% glucose in this study may be due to the limited choice of nectar sources provided i.e. one plant choice instead of mixed plant choices and insufficient production of sugar by nectaries of the cut plants or accumulation of toxic substances due to interruption of nutrient circulation in the plant cuttings. The longer survival of uninfected mosquitoes on R. communis than P. hysterophorus may be attributed to the high amounts of digestible sugars produced [32] and therefore consumed in larger amounts from R. communis than P. hysterophorus [31]. The drastic reduction in the survival of mosquitoes on P. hysterophorus may be associated with the limited feeding resource points on the plant as reported in other studies where mosquitoes ingested sugars from the leaves only when compared to sugars imbibed from leaves, stems and floral parts in the case of R. communis plant [19]. Interestingly, the negative effects of plant sugars from R. communis and P. hysterophorus as reported may be entirely overcome when the insects are additionally offered a blood meal and these sugars then are highly beneficial by extending the survivorship [13,22,33,34].\nSurvivorship is a key feature that defines the vectorial capacity of malaria vectors [35,36]. Survival of An. gambiae mosquitoes on R. communis in this study was longer than the extrinsic incubation period of a pathogen that is as short as 10d for the malaria parasite Plasmodium falciparum [37-39]. This concurs with other studies on survival of An. gambiae on plant sugars [16,31]. As this occurred under semi-field conditions, it is likely that in field situations mosquitoes forage on a wide variety of plants to complete their dietary requirements, sustain longevity and with blood-supplement become efficient as malaria vectors. Therefore, reduction in the life-span of both sexes of An. gambiae by entomopathogenic fungi as demonstrated in this study could lead to a considerable reduction in malaria transmission.\nInfection with fungi strongly reduced the proportion of mosquitoes that ingested sugar from R. communis independent of the time since infection. Interestingly, the feeding potential and the quantity of sugar assimilated by the mosquitoes that did feed remained similar between the treatment and the control groups. This is the first study to report on the impact of entomopathogenic fungi M. anisopliae on plant sugar feeding since reports to date about mosquitoes have addressed reduction of blood-feeding in fungus-infected females [1,2,5]. These findings corroborate our previous work that showed reduction in blood-feeding propensity in fungus-infected mosquitoes [40]. Both findings suggest that entomopathogenic fungi impose a similar effect on the feeding behaviour of mosquitoes irrespective of the food source. In other insect species, a significant reduction in feeding in the maize stem borer Chilo partellus (Swinhoe) larvae [41], adult thrips Megalurothrips sjostedti Trybom [42] and the variegated grasshopper, Zonocerus variegatus (Linnaeus) [43] occurred as early as one to four days after infection with the entomopathogenic fungus M. anisopliae. The normal feeding that we observed has also been reported in corn earworm, Heliothis zea (Boddie) larvae [44] infected with B. bassiana. The insects, however, die at a later stage, which may indicate that infection causes starvation due to physiological changes in infected hosts.\nThe reduction in sugar-feeding propensity may be attributed to three factors. First, infected mosquitoes may have fed as often as the uninfected ones but the sugar content was too low to be detected. Secondly, the sugar in infected mosquitoes may have already been digested and converted into a metabolic product which the anthrone test could not detect. Lastly, some of the ‘sick insects’ may have lost appetite [43], thus affecting their feeding ability [45-47]. The normal feeding in fungus-infected mosquitoes could be associated with dose [48] and the insect defense mechanism to fight the infection [49]. This is because the immune system of insects responds in defense of fungal attack as early as 12 h after exposure to the pathogen [50].\nThe study has further shown that infection by M. anisopliae has no effect on the digestion rate of sugar except in females, one day post-exposure. However, as the fungal infection progressed, fewer infected than uninfected mosquitoes (both sexes) tested sugar positive. Digestion of sugar in insects takes place in the crop and midgut and its rate is influenced by the meal size consumed, sugar concentration [51], metabolic rate [52] and the extent of energy reserves, among other factors. The mechanism that affects feeding rate due to pathogen attack may also affect the digestion process. Therefore, the slow digestion rate in early days of fungal infection is likely to be associated with the dose and the mechanical disruption of the midgut tissues by fungal toxins [46]. Furthermore, the increased breakdown of sugar as the infection advances could be associated with the need to replenish the teneral energy reserves depleted by invasive fungal pathogens in the insect haemolymph. These teneral reserves are critical for the survival of insects [13,53]. In the case where digestion rate between treatments was equal, it is likely that infected mosquitoes imbibed more sugar than controls for two purposes. First, to nourish the storage reserve this is the primary source of nourishment to the fungal pathogen [54]. Second, to replenish and store sugar in the crop for future use. This is because the accumulation of energy reserves retards digestion [6]. Between sexes, the proportion of individuals that tested positive to sugars did not differ in spite of their different synthesis of reserves. This concurs with what has been reported by van Handel [51].\nThe inability of fungus-exposed mosquitoes to sugar feed may pose some advantages. The life-span of both sexes could be reduced to less than five days. During this period, the mating ability of males may be compromised leading to fewer females getting inseminated. Although females can build their energy reserves from human blood, they may not survive long enough to become efficient malaria vectors. Therefore, if both sexes become infected early in life, this could lead to population suppression, incomplete development of the malaria parasite in females and reduction in malaria transmission [5,12]. Moreover, the ability of mosquitoes to feed on and digest sugars may negatively impact on the survival of both sexes and minimize human-mosquito contact. Thus, maintaining the normal rate of food consumption and digestion in fungus-infected insects for as long as possible benefits the fungal pathogen because this maximizes the amount of food available for the entomopathogen [33,55]. Further research however is needed to determine if a similar impact of fungus can occur in field situations.\nThe life of male mosquitoes is exclusively tied to the plant community. By focusing on fungal inoculation during plant feeding, therefore, both males and females are likely to become infected. Control strategies that target both sexes may lead to significant reduction in the prevalence and transmission of malaria and other mosquito borne diseases. In recent studies, the efficiency of plant attractants in attractive toxic sugar baits (ATSB) for the control of mosquitoes has been demonstrated [20,56-61]. The approach uses odour stationary traps baited with fermented ripe fruits and flower scent as attractants, a sugar solution as feeding stimulant and an oral pesticide [20]. The strategy can be adopted to infect and kill mosquitoes with entomopathogenic fungi during plant sugar feeding in two ways. Firstly, by spraying flowering plants with fungal conidia formulated in a suitable carrier that can withstand ultra-violent effects and retain spore virulence. This strategy however, requires assessment on the impact of fungal pathogens on non-target organisms especially pollinators as reported in a separate study with the use of ATSB [62]. Secondly, by spraying fungal conidia in traps baited with fruits and flowers and sugar solution or plant-derived synthetic odours to which mosquitoes respond to [63]. The use of plant odours in the traps will also increase the chance of infecting female mosquitoes harbouring malaria parasites with fungus since the ‘sick mosquitoes’ are reported to be highly attracted to sugar sources [64]. The first approach may be cost effective since preparation of attractants for the traps may be problematic. Also, more mosquitoes are likely to be targeted and killed by spraying the plants than by being attracted to the baited traps, as these are in competition with flowering plants. Nevertheless, research is needed to demonstrate the possibility of these proposed pathways and other unexplored approaches for infecting wild mosquitoes, particularly males, by entomopathogenic fungi.", "This study has demonstrated that infection with entomopathogenic fungi reduces survival and plant sugar-feeding ability of male and female An. gambiae mosquitoes, but not their potential to ingest and digest sugars, except in the late stages of fungal infection. By reducing survival, a fraction of the mosquito population is eliminated thus lowering the level of malaria transmission. The fact that infected mosquitoes continue to feed is an indication that they have a chance to sustain their physiological requirements including reproduction. This may delay mosquitoes from succumbing to infection quickly but may facilitate the occurrence of sub-lethal effects that can lead to reduction in fecundity and a further decline of mosquito population, hence disease transmission. The possibility of targeting male mosquitoes for population reduction by an entomopathogenic fungus opens a new strategy for mosquito vector control." ]
[ "introduction", "materials|methods", null, null, null, null, null, null, null, null, null, null, "results", null, null, null, "discussion", "conclusion" ]
[ "\nMetarhizium anisopliae\n", "\nAnopheles gambiae s.s\n", "Host plants", "Sugar feeding", "Malaria vector" ]
Background: Studies have shown that fungal pathogens reduce survival of Anopheles mosquitoes to a level that prevents transmission of malaria parasites [1-3]. The fungi achieve this by reducing mosquito blood feeding [4,5] and fecundity [5]. Plant sugar acquired from floral and extrafloral nectaries, honeydew, damaged fruits and leaves is essential for mosquito survival [6-8]. It is the only nutritional source of adult males and a dietary supplement to blood for females. Sugar feeding is an early priority for both sexes, which typically have limited energy reserves upon emergence [9-14]. Besides survival and building of energy reserves, sugar enhances maturation of ovarian follicles in females and reproductive fitness in males [15]. Survival of the malaria mosquito Anopheles gambiae is assured with frequent feeding and ingestion of sizeable amounts of sugar meals [16] or by ingestion of small amounts of sugar at a time [6,8]. Recent studies have shown that mosquitoes feed on a wide variety of plants common in their natural habitats [17-20] with males preferentially feeding on the most rewarding sugar sources [21]. Sugars from some of these plants promote longer survival of both sexes, which enhances the vectorial capacity of females [16,22] and fitness and reproductive capacity of the males [21]. Most studies, though, have targeted females due to their significant role in malaria transmission with the contribution of males in the whole process often overlooked. As sugar feeding is central in the biology of adult mosquitoes, it is imperative to assess whether infection of mosquitoes with entomopathogenic fungi impacts sugar feeding. This study investigated three aspects of plant sugar feeding behaviour of adult male and female An. gambiae mosquitoes under natural climatic conditions. These included (a) determining the survival of fungus-exposed An. gambiae mosquitoes when fed on glucose or plant sugars, (b) establishing the feeding propensity and the quantity of sugar ingested from plants by the infected mosquitoes and (c) assessing the digestion rate of sugar imbibed by fungus-exposed mosquitoes. Methods: Mosquitoes Experiments were carried out using laboratory-reared Anopheles gambiae Giles sensu stricto (hereafter termed An. gambiae) mosquitoes obtained from a colony established from wild gravid females collected at Mbita Point (000 25’S, 340 13’E), western Kenya in 1999. All mosquito life stages were maintained under ambient conditions in a mosquito insectary present at the Thomas Odhiambo Campus (TOC) of the International Centre of Insect Physiology and Ecology (icipe) located near Mbita Point Township in western Kenya. Larval and adult stages of the mosquitoes were raised using procedures described previously [23]. Both sexes were separated at emergence and held under ambient conditions in 30 × 30 × 30 cm cages inside a screenhouse. Before experiments, the insects were maintained either on an aqueous 6% glucose solution presented on filter paper wicks or on stem cuttings of Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed). Experiments were carried out using laboratory-reared Anopheles gambiae Giles sensu stricto (hereafter termed An. gambiae) mosquitoes obtained from a colony established from wild gravid females collected at Mbita Point (000 25’S, 340 13’E), western Kenya in 1999. All mosquito life stages were maintained under ambient conditions in a mosquito insectary present at the Thomas Odhiambo Campus (TOC) of the International Centre of Insect Physiology and Ecology (icipe) located near Mbita Point Township in western Kenya. Larval and adult stages of the mosquitoes were raised using procedures described previously [23]. Both sexes were separated at emergence and held under ambient conditions in 30 × 30 × 30 cm cages inside a screenhouse. Before experiments, the insects were maintained either on an aqueous 6% glucose solution presented on filter paper wicks or on stem cuttings of Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed). Detection of plant sugars in mosquitoes using the anthrone test The anthrone test was used to determine the presence of sugars in the mosquitoes. To do so standard sucrose solutions of different strengths in the series 1, 2, 4, 8, 16, 32, 64, 128 and 256 μg/μl were prepared. Initially, 25.6 g of reagent grade sucrose was dissolved in 50 ml of distilled water. More water was added gradually while mixing to make a 100 ml solution from which the serial dilutions were prepared. Distilled water served as the neutral liquid. These solutions were stored at −4°C. Diluted sulphuric acid was then prepared by mixing 380 ml concentrated sulphuric acid with 150 ml distilled water in a fume hood. The whole solution was cooled for 5 hours at room temperature and further for 12 hours in the refrigerator at 5°C before use. Anthrone reagent was then prepared by mixing 0.15 g of anthrone powder per 100 ml of the diluted sulphuric acid. Two test tube racks were used with each rack holding one hundred 5-ml test tubes. A third rack was used to hold 10 test tubes for the standard sucrose solutions. The standards were prepared by pipetting 1 μl from each of the nine standard sucrose solutions into the nine separate test tubes. The tenth tube contained 1 μl of distilled water. The other two racks were used to hold both sexes of uninfected and M. anisopliae-exposed An. gambiae mosquitoes. Each tube held one mosquito. One drop each of chloroform and methanol in the ratio 1:1 was added to each tube containing mosquitoes to dissolve the cuticle. The racks were held in a fume hood where 0.5 ml of anthrone reagent was added to the standards and the tubes containing mosquitoes. The racks were then transferred into a water bath at room temperature for one hr. In the presence of sugar, the colour of the solutions changed from green to green-blue and further dark-blue depending on the amount of sugar. In absence of sugar, the colour of the sample was transparent yellow. After one hour the results were read by comparing the colour change in tubes containing mosquitoes and those with standard solutions. The anthrone test was used to determine the presence of sugars in the mosquitoes. To do so standard sucrose solutions of different strengths in the series 1, 2, 4, 8, 16, 32, 64, 128 and 256 μg/μl were prepared. Initially, 25.6 g of reagent grade sucrose was dissolved in 50 ml of distilled water. More water was added gradually while mixing to make a 100 ml solution from which the serial dilutions were prepared. Distilled water served as the neutral liquid. These solutions were stored at −4°C. Diluted sulphuric acid was then prepared by mixing 380 ml concentrated sulphuric acid with 150 ml distilled water in a fume hood. The whole solution was cooled for 5 hours at room temperature and further for 12 hours in the refrigerator at 5°C before use. Anthrone reagent was then prepared by mixing 0.15 g of anthrone powder per 100 ml of the diluted sulphuric acid. Two test tube racks were used with each rack holding one hundred 5-ml test tubes. A third rack was used to hold 10 test tubes for the standard sucrose solutions. The standards were prepared by pipetting 1 μl from each of the nine standard sucrose solutions into the nine separate test tubes. The tenth tube contained 1 μl of distilled water. The other two racks were used to hold both sexes of uninfected and M. anisopliae-exposed An. gambiae mosquitoes. Each tube held one mosquito. One drop each of chloroform and methanol in the ratio 1:1 was added to each tube containing mosquitoes to dissolve the cuticle. The racks were held in a fume hood where 0.5 ml of anthrone reagent was added to the standards and the tubes containing mosquitoes. The racks were then transferred into a water bath at room temperature for one hr. In the presence of sugar, the colour of the solutions changed from green to green-blue and further dark-blue depending on the amount of sugar. In absence of sugar, the colour of the sample was transparent yellow. After one hour the results were read by comparing the colour change in tubes containing mosquitoes and those with standard solutions. Fungal isolate The entomopathogenic fungus Metarhizium anisopliae isolate ICIPE 30 was used (courtesy Dr. N.K. Maniania). This fungus was originally isolated from the stem borer Busseola fusca (Lepidoptera, Noctuidea) in Kendu Bay, western Kenya, in 1999 and has been maintained at the icipe’s Germplasm Centre. Conidia were produced on long rice as substrate [24]. Harvested spores were dried for 48 hours in a desiccator containing active silica gel and stored in a refrigerator (4-6°C) until required. The viability of spores was determined before being used in the experiments. Germination rates >85% after 24 hours on Sabouraud dextrose agar was considered adequate for use in the experiments. The entomopathogenic fungus Metarhizium anisopliae isolate ICIPE 30 was used (courtesy Dr. N.K. Maniania). This fungus was originally isolated from the stem borer Busseola fusca (Lepidoptera, Noctuidea) in Kendu Bay, western Kenya, in 1999 and has been maintained at the icipe’s Germplasm Centre. Conidia were produced on long rice as substrate [24]. Harvested spores were dried for 48 hours in a desiccator containing active silica gel and stored in a refrigerator (4-6°C) until required. The viability of spores was determined before being used in the experiments. Germination rates >85% after 24 hours on Sabouraud dextrose agar was considered adequate for use in the experiments. Fungal infection process Transparent plastic cylinders (9 cm diameter; 15 cm height) were used to inoculate An. gambiae mosquitoes with spores of M. anisopliae. The inside vertical surface and the circular base of each cylinder were lined with white rough-surfaced velvex tissue papers that measured 28.6 × 14.3 cm (for vertical surface) and 9 cm in diameter (for circular base area). A piece of mosquito netting material was secured over the mouth of each cylinder using a rubber band. A hole was punched at the centre of the net to serve as an introduction point for experimental mosquitoes. Each cylinder was held in a slanting position and 0.1 g (approx. 1.0 × 1011 conidia/m2) of M. anisopliae spores were weighed and poured on the paper. Using both hands, the cylinders were rolled several times until the papers were uniformly covered by the spores. The inner and the base surfaces of the cylinder used for uninfected mosquitoes were lined with white rough paper without spores. For survival experiments, a total of four cylinders with fungus and four cylinders without fungus were used. Of these, two cylinders with fungus and two cylinders without fungus were each used to infect male and female mosquitoes separately. Sixty 1-d-old female and male mosquitoes were introduced into each of their respective four cylinders. The insects were held for six hr being supplied with 6% glucose solution soaked in a cotton pad and placed on top of the netting material covering the cylinder. The mosquitoes were then transferred into four separate holding cages (30 × 30 × 30 cm) based on sex and treatment and were supplied with 6% glucose solution on filter paper wicks. The insects were maintained under ambient conditions inside a screenhouse at 28 ± 2°C and 70 ± 5% r.h. For studies to evaluate plant material this procedure was repeated to infect the mosquitoes but the insects were provided with floral parts of R. communis and P. hysterophorous separately as source of sugar instead of 6% glucose solution. The base of the floral parts was hooked on the netting material covering the mouth of each cylinder using a tooth pick to suspend the plant inside the cylinder. For sugar quantity and digestion rate experiments, five cylinders with fungus and three cylinders without fungus were used to infect female mosquitoes. The same numbers of cylinders were used to infect male mosquitoes. The number of mosquitoes exposed to fungus was higher than for the uninfected group to adjust for mortality in the holding cages prior to the start of the experiments on days one and three post-exposure. Transparent plastic cylinders (9 cm diameter; 15 cm height) were used to inoculate An. gambiae mosquitoes with spores of M. anisopliae. The inside vertical surface and the circular base of each cylinder were lined with white rough-surfaced velvex tissue papers that measured 28.6 × 14.3 cm (for vertical surface) and 9 cm in diameter (for circular base area). A piece of mosquito netting material was secured over the mouth of each cylinder using a rubber band. A hole was punched at the centre of the net to serve as an introduction point for experimental mosquitoes. Each cylinder was held in a slanting position and 0.1 g (approx. 1.0 × 1011 conidia/m2) of M. anisopliae spores were weighed and poured on the paper. Using both hands, the cylinders were rolled several times until the papers were uniformly covered by the spores. The inner and the base surfaces of the cylinder used for uninfected mosquitoes were lined with white rough paper without spores. For survival experiments, a total of four cylinders with fungus and four cylinders without fungus were used. Of these, two cylinders with fungus and two cylinders without fungus were each used to infect male and female mosquitoes separately. Sixty 1-d-old female and male mosquitoes were introduced into each of their respective four cylinders. The insects were held for six hr being supplied with 6% glucose solution soaked in a cotton pad and placed on top of the netting material covering the cylinder. The mosquitoes were then transferred into four separate holding cages (30 × 30 × 30 cm) based on sex and treatment and were supplied with 6% glucose solution on filter paper wicks. The insects were maintained under ambient conditions inside a screenhouse at 28 ± 2°C and 70 ± 5% r.h. For studies to evaluate plant material this procedure was repeated to infect the mosquitoes but the insects were provided with floral parts of R. communis and P. hysterophorous separately as source of sugar instead of 6% glucose solution. The base of the floral parts was hooked on the netting material covering the mouth of each cylinder using a tooth pick to suspend the plant inside the cylinder. For sugar quantity and digestion rate experiments, five cylinders with fungus and three cylinders without fungus were used to infect female mosquitoes. The same numbers of cylinders were used to infect male mosquitoes. The number of mosquitoes exposed to fungus was higher than for the uninfected group to adjust for mortality in the holding cages prior to the start of the experiments on days one and three post-exposure. Plant species Two plant species namely Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed) were used. Ricinus communis has been demonstrated to enhance survival of An. gambiae and P. hysterophorus as most frequently visited by this mosquito species [19]. Five, fresh stems cut from each plant with leaves and floral parts intact were used in the study. The cuttings were collected from the agricultural field at icipe, Mbita Point, western Kenya where the plants grow naturally. Two plant species namely Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed) were used. Ricinus communis has been demonstrated to enhance survival of An. gambiae and P. hysterophorus as most frequently visited by this mosquito species [19]. Five, fresh stems cut from each plant with leaves and floral parts intact were used in the study. The cuttings were collected from the agricultural field at icipe, Mbita Point, western Kenya where the plants grow naturally. Survival of M. anisopliae-infected An. gambiae mosquitoes fed on plant sugars To study the effect of fungus on the survival of M. anisopliae-infected An. gambiae mosquitoes on plant sugars, one hundred male and 100 female An. gambiae mosquitoes exposed to M. anisopliae for six hours upon emergence were held in separate cages (30 × 30 × 30 cm). Each cage was supplied with 250-ml flat bottomed conical flask containing 200-ml filtered Lake Victoria water and five stems (with leaves and floral parts intact) of R. communis. The stems were replaced every two days. Mosquito mortality was recorded daily to determine the length of time over which the mosquitoes survived. Dead individuals were plated in a Petri dish lined with wet filter paper and incubated at 28 ± 2°C. Fungal growth on mosquito cadavers was observed after three days at 400× magnification under a compound microscope. The experiment was replicated four times. This procedure was repeated using P. hysterophorus as an alternative test plant and 6% glucose solution on filter paper wicks as a control. Glucose solution was changed every two days. To study the effect of fungus on the survival of M. anisopliae-infected An. gambiae mosquitoes on plant sugars, one hundred male and 100 female An. gambiae mosquitoes exposed to M. anisopliae for six hours upon emergence were held in separate cages (30 × 30 × 30 cm). Each cage was supplied with 250-ml flat bottomed conical flask containing 200-ml filtered Lake Victoria water and five stems (with leaves and floral parts intact) of R. communis. The stems were replaced every two days. Mosquito mortality was recorded daily to determine the length of time over which the mosquitoes survived. Dead individuals were plated in a Petri dish lined with wet filter paper and incubated at 28 ± 2°C. Fungal growth on mosquito cadavers was observed after three days at 400× magnification under a compound microscope. The experiment was replicated four times. This procedure was repeated using P. hysterophorus as an alternative test plant and 6% glucose solution on filter paper wicks as a control. Glucose solution was changed every two days. Quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes In order to determine the quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes, preliminary experiments were conducted to determine the length of time required for individual mosquitoes to feed fully. Three groups of female mosquitoes each composed of 50 individuals were fed on stems (with leaves and floral parts intact) of R. communis for separate periods of 6, 12 and 24 hours. The experiments were replicated four times over time. This procedure was repeated with male mosquitoes. Both male and female mosquitoes took 12 hours to satiate. Thus, the amount of sugar ingested from stems of R. communis by male and female mosquitoes, one and three days post-exposure to M. anisopliae, was evaluated after every 12 hours of feeding. One day after exposure to fungus, fifty male and female mosquitoes were aspirated, each from their respective uninfected and fungus-exposed cages and released into four separate cages. The insects were starved for 6 hrs prior to introduction of a 250-ml conical flask containing stems of R. communis in each cage. After 12 hours of feeding, the insects were removed from the cages and held in four separate collection cups. The insects were held inside a refrigerator at 4°C for 30 min and their sugar levels were quantified following the procedure earlier described on ‘detection of plant sugars in mosquitoes using anthrone test’. The experiment was replicated four times. This procedure was repeated with mosquitoes three days post-infection. In order to determine the quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes, preliminary experiments were conducted to determine the length of time required for individual mosquitoes to feed fully. Three groups of female mosquitoes each composed of 50 individuals were fed on stems (with leaves and floral parts intact) of R. communis for separate periods of 6, 12 and 24 hours. The experiments were replicated four times over time. This procedure was repeated with male mosquitoes. Both male and female mosquitoes took 12 hours to satiate. Thus, the amount of sugar ingested from stems of R. communis by male and female mosquitoes, one and three days post-exposure to M. anisopliae, was evaluated after every 12 hours of feeding. One day after exposure to fungus, fifty male and female mosquitoes were aspirated, each from their respective uninfected and fungus-exposed cages and released into four separate cages. The insects were starved for 6 hrs prior to introduction of a 250-ml conical flask containing stems of R. communis in each cage. After 12 hours of feeding, the insects were removed from the cages and held in four separate collection cups. The insects were held inside a refrigerator at 4°C for 30 min and their sugar levels were quantified following the procedure earlier described on ‘detection of plant sugars in mosquitoes using anthrone test’. The experiment was replicated four times. This procedure was repeated with mosquitoes three days post-infection. Sugar digestion rate of M. anisopliae-infected An. gambiae mosquitoes The digestion rate of An. gambiae mosquitoes exposed to M. anisopliae was determined by feeding males and females on R. communis. One day after exposure to fungus, 50 mosquitoes were aspirated from each cage holding uninfected and fungus-exposed mosquitoes and released into four separate cages. The mosquitoes were starved for 6 hours prior to introduction of the plant in a 250-ml conical flask in each cage. Mosquitoes were allowed to feed on R. communis for 12 hours after which the flasks containing the plant were removed from the cages. Fifty mosquitoes that appeared fully fed were also removed and held in separate cages from where ten mosquitoes were removed at an interval of 8 hours starting from time zero through to 32 hours post-feeding. Removed mosquitoes were held inside a refrigerator at 4°C for 30 min and the quantity of sugar in them, and by extension digestion rate, determined following the procedure earlier described. The experiment was replicated four times. The same procedure was repeated with groups of mosquitoes three days post-exposure to M. anisopliae. The digestion rate of An. gambiae mosquitoes exposed to M. anisopliae was determined by feeding males and females on R. communis. One day after exposure to fungus, 50 mosquitoes were aspirated from each cage holding uninfected and fungus-exposed mosquitoes and released into four separate cages. The mosquitoes were starved for 6 hours prior to introduction of the plant in a 250-ml conical flask in each cage. Mosquitoes were allowed to feed on R. communis for 12 hours after which the flasks containing the plant were removed from the cages. Fifty mosquitoes that appeared fully fed were also removed and held in separate cages from where ten mosquitoes were removed at an interval of 8 hours starting from time zero through to 32 hours post-feeding. Removed mosquitoes were held inside a refrigerator at 4°C for 30 min and the quantity of sugar in them, and by extension digestion rate, determined following the procedure earlier described. The experiment was replicated four times. The same procedure was repeated with groups of mosquitoes three days post-exposure to M. anisopliae. Ethical approval Ethical approval for this study was given by the Kenya National Ethical Review Committee located at the Kenya Medical Research Institute (NON-SSC Protocol number 203). Ethical approval for this study was given by the Kenya National Ethical Review Committee located at the Kenya Medical Research Institute (NON-SSC Protocol number 203). Statistics Survival of uninfected and M. anisopliae-infected mosquitoes on glucose (6%), R. communis and P. hysterophorous was calculated by expressing the number of mosquitoes that succumbed to mortality as a percentage of the total number tested. Differences in survival between uninfected and fungus-infected groups were estimated using Cox regression analysis. Mortality rates, expressed as Hazard Ratio (HR) were used to estimate the risk of dying when infected compared to when not infected with fungus. To evaluate effects of infection on the amount of sugar ingested by infected (one and three days post-exposure) and control mosquitoes, first the number of mosquitoes that had fed on R. communis was expressed as a percentage of the total number tested. Further, the number of mosquitoes that imbibed small, medium and large quantities of sugar, respectively, was expressed as the mean percentage of the total number of mosquitoes tested. The difference between control and fungus-infected mosquitoes was calculated with the Chi square (χ2) test [25]. The digestion rate of the sugar ingested by mosquitoes one and three days post-exposure was each calculated by logistic regression. Logistic relationships for uninfected and fungus-exposed mosquitoes were fitted to describe sugar detection success for each time elapsed since feeding. The difference between uninfected and fungus-exposed mosquitoes was estimated by the Chi square (χ2) test. All analyses were conducted using SPSS (version 17.0) Survival of uninfected and M. anisopliae-infected mosquitoes on glucose (6%), R. communis and P. hysterophorous was calculated by expressing the number of mosquitoes that succumbed to mortality as a percentage of the total number tested. Differences in survival between uninfected and fungus-infected groups were estimated using Cox regression analysis. Mortality rates, expressed as Hazard Ratio (HR) were used to estimate the risk of dying when infected compared to when not infected with fungus. To evaluate effects of infection on the amount of sugar ingested by infected (one and three days post-exposure) and control mosquitoes, first the number of mosquitoes that had fed on R. communis was expressed as a percentage of the total number tested. Further, the number of mosquitoes that imbibed small, medium and large quantities of sugar, respectively, was expressed as the mean percentage of the total number of mosquitoes tested. The difference between control and fungus-infected mosquitoes was calculated with the Chi square (χ2) test [25]. The digestion rate of the sugar ingested by mosquitoes one and three days post-exposure was each calculated by logistic regression. Logistic relationships for uninfected and fungus-exposed mosquitoes were fitted to describe sugar detection success for each time elapsed since feeding. The difference between uninfected and fungus-exposed mosquitoes was estimated by the Chi square (χ2) test. All analyses were conducted using SPSS (version 17.0) Mosquitoes: Experiments were carried out using laboratory-reared Anopheles gambiae Giles sensu stricto (hereafter termed An. gambiae) mosquitoes obtained from a colony established from wild gravid females collected at Mbita Point (000 25’S, 340 13’E), western Kenya in 1999. All mosquito life stages were maintained under ambient conditions in a mosquito insectary present at the Thomas Odhiambo Campus (TOC) of the International Centre of Insect Physiology and Ecology (icipe) located near Mbita Point Township in western Kenya. Larval and adult stages of the mosquitoes were raised using procedures described previously [23]. Both sexes were separated at emergence and held under ambient conditions in 30 × 30 × 30 cm cages inside a screenhouse. Before experiments, the insects were maintained either on an aqueous 6% glucose solution presented on filter paper wicks or on stem cuttings of Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed). Detection of plant sugars in mosquitoes using the anthrone test: The anthrone test was used to determine the presence of sugars in the mosquitoes. To do so standard sucrose solutions of different strengths in the series 1, 2, 4, 8, 16, 32, 64, 128 and 256 μg/μl were prepared. Initially, 25.6 g of reagent grade sucrose was dissolved in 50 ml of distilled water. More water was added gradually while mixing to make a 100 ml solution from which the serial dilutions were prepared. Distilled water served as the neutral liquid. These solutions were stored at −4°C. Diluted sulphuric acid was then prepared by mixing 380 ml concentrated sulphuric acid with 150 ml distilled water in a fume hood. The whole solution was cooled for 5 hours at room temperature and further for 12 hours in the refrigerator at 5°C before use. Anthrone reagent was then prepared by mixing 0.15 g of anthrone powder per 100 ml of the diluted sulphuric acid. Two test tube racks were used with each rack holding one hundred 5-ml test tubes. A third rack was used to hold 10 test tubes for the standard sucrose solutions. The standards were prepared by pipetting 1 μl from each of the nine standard sucrose solutions into the nine separate test tubes. The tenth tube contained 1 μl of distilled water. The other two racks were used to hold both sexes of uninfected and M. anisopliae-exposed An. gambiae mosquitoes. Each tube held one mosquito. One drop each of chloroform and methanol in the ratio 1:1 was added to each tube containing mosquitoes to dissolve the cuticle. The racks were held in a fume hood where 0.5 ml of anthrone reagent was added to the standards and the tubes containing mosquitoes. The racks were then transferred into a water bath at room temperature for one hr. In the presence of sugar, the colour of the solutions changed from green to green-blue and further dark-blue depending on the amount of sugar. In absence of sugar, the colour of the sample was transparent yellow. After one hour the results were read by comparing the colour change in tubes containing mosquitoes and those with standard solutions. Fungal isolate: The entomopathogenic fungus Metarhizium anisopliae isolate ICIPE 30 was used (courtesy Dr. N.K. Maniania). This fungus was originally isolated from the stem borer Busseola fusca (Lepidoptera, Noctuidea) in Kendu Bay, western Kenya, in 1999 and has been maintained at the icipe’s Germplasm Centre. Conidia were produced on long rice as substrate [24]. Harvested spores were dried for 48 hours in a desiccator containing active silica gel and stored in a refrigerator (4-6°C) until required. The viability of spores was determined before being used in the experiments. Germination rates >85% after 24 hours on Sabouraud dextrose agar was considered adequate for use in the experiments. Fungal infection process: Transparent plastic cylinders (9 cm diameter; 15 cm height) were used to inoculate An. gambiae mosquitoes with spores of M. anisopliae. The inside vertical surface and the circular base of each cylinder were lined with white rough-surfaced velvex tissue papers that measured 28.6 × 14.3 cm (for vertical surface) and 9 cm in diameter (for circular base area). A piece of mosquito netting material was secured over the mouth of each cylinder using a rubber band. A hole was punched at the centre of the net to serve as an introduction point for experimental mosquitoes. Each cylinder was held in a slanting position and 0.1 g (approx. 1.0 × 1011 conidia/m2) of M. anisopliae spores were weighed and poured on the paper. Using both hands, the cylinders were rolled several times until the papers were uniformly covered by the spores. The inner and the base surfaces of the cylinder used for uninfected mosquitoes were lined with white rough paper without spores. For survival experiments, a total of four cylinders with fungus and four cylinders without fungus were used. Of these, two cylinders with fungus and two cylinders without fungus were each used to infect male and female mosquitoes separately. Sixty 1-d-old female and male mosquitoes were introduced into each of their respective four cylinders. The insects were held for six hr being supplied with 6% glucose solution soaked in a cotton pad and placed on top of the netting material covering the cylinder. The mosquitoes were then transferred into four separate holding cages (30 × 30 × 30 cm) based on sex and treatment and were supplied with 6% glucose solution on filter paper wicks. The insects were maintained under ambient conditions inside a screenhouse at 28 ± 2°C and 70 ± 5% r.h. For studies to evaluate plant material this procedure was repeated to infect the mosquitoes but the insects were provided with floral parts of R. communis and P. hysterophorous separately as source of sugar instead of 6% glucose solution. The base of the floral parts was hooked on the netting material covering the mouth of each cylinder using a tooth pick to suspend the plant inside the cylinder. For sugar quantity and digestion rate experiments, five cylinders with fungus and three cylinders without fungus were used to infect female mosquitoes. The same numbers of cylinders were used to infect male mosquitoes. The number of mosquitoes exposed to fungus was higher than for the uninfected group to adjust for mortality in the holding cages prior to the start of the experiments on days one and three post-exposure. Plant species: Two plant species namely Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed) were used. Ricinus communis has been demonstrated to enhance survival of An. gambiae and P. hysterophorus as most frequently visited by this mosquito species [19]. Five, fresh stems cut from each plant with leaves and floral parts intact were used in the study. The cuttings were collected from the agricultural field at icipe, Mbita Point, western Kenya where the plants grow naturally. Survival of M. anisopliae-infected An. gambiae mosquitoes fed on plant sugars: To study the effect of fungus on the survival of M. anisopliae-infected An. gambiae mosquitoes on plant sugars, one hundred male and 100 female An. gambiae mosquitoes exposed to M. anisopliae for six hours upon emergence were held in separate cages (30 × 30 × 30 cm). Each cage was supplied with 250-ml flat bottomed conical flask containing 200-ml filtered Lake Victoria water and five stems (with leaves and floral parts intact) of R. communis. The stems were replaced every two days. Mosquito mortality was recorded daily to determine the length of time over which the mosquitoes survived. Dead individuals were plated in a Petri dish lined with wet filter paper and incubated at 28 ± 2°C. Fungal growth on mosquito cadavers was observed after three days at 400× magnification under a compound microscope. The experiment was replicated four times. This procedure was repeated using P. hysterophorus as an alternative test plant and 6% glucose solution on filter paper wicks as a control. Glucose solution was changed every two days. Quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes: In order to determine the quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes, preliminary experiments were conducted to determine the length of time required for individual mosquitoes to feed fully. Three groups of female mosquitoes each composed of 50 individuals were fed on stems (with leaves and floral parts intact) of R. communis for separate periods of 6, 12 and 24 hours. The experiments were replicated four times over time. This procedure was repeated with male mosquitoes. Both male and female mosquitoes took 12 hours to satiate. Thus, the amount of sugar ingested from stems of R. communis by male and female mosquitoes, one and three days post-exposure to M. anisopliae, was evaluated after every 12 hours of feeding. One day after exposure to fungus, fifty male and female mosquitoes were aspirated, each from their respective uninfected and fungus-exposed cages and released into four separate cages. The insects were starved for 6 hrs prior to introduction of a 250-ml conical flask containing stems of R. communis in each cage. After 12 hours of feeding, the insects were removed from the cages and held in four separate collection cups. The insects were held inside a refrigerator at 4°C for 30 min and their sugar levels were quantified following the procedure earlier described on ‘detection of plant sugars in mosquitoes using anthrone test’. The experiment was replicated four times. This procedure was repeated with mosquitoes three days post-infection. Sugar digestion rate of M. anisopliae-infected An. gambiae mosquitoes: The digestion rate of An. gambiae mosquitoes exposed to M. anisopliae was determined by feeding males and females on R. communis. One day after exposure to fungus, 50 mosquitoes were aspirated from each cage holding uninfected and fungus-exposed mosquitoes and released into four separate cages. The mosquitoes were starved for 6 hours prior to introduction of the plant in a 250-ml conical flask in each cage. Mosquitoes were allowed to feed on R. communis for 12 hours after which the flasks containing the plant were removed from the cages. Fifty mosquitoes that appeared fully fed were also removed and held in separate cages from where ten mosquitoes were removed at an interval of 8 hours starting from time zero through to 32 hours post-feeding. Removed mosquitoes were held inside a refrigerator at 4°C for 30 min and the quantity of sugar in them, and by extension digestion rate, determined following the procedure earlier described. The experiment was replicated four times. The same procedure was repeated with groups of mosquitoes three days post-exposure to M. anisopliae. Ethical approval: Ethical approval for this study was given by the Kenya National Ethical Review Committee located at the Kenya Medical Research Institute (NON-SSC Protocol number 203). Statistics: Survival of uninfected and M. anisopliae-infected mosquitoes on glucose (6%), R. communis and P. hysterophorous was calculated by expressing the number of mosquitoes that succumbed to mortality as a percentage of the total number tested. Differences in survival between uninfected and fungus-infected groups were estimated using Cox regression analysis. Mortality rates, expressed as Hazard Ratio (HR) were used to estimate the risk of dying when infected compared to when not infected with fungus. To evaluate effects of infection on the amount of sugar ingested by infected (one and three days post-exposure) and control mosquitoes, first the number of mosquitoes that had fed on R. communis was expressed as a percentage of the total number tested. Further, the number of mosquitoes that imbibed small, medium and large quantities of sugar, respectively, was expressed as the mean percentage of the total number of mosquitoes tested. The difference between control and fungus-infected mosquitoes was calculated with the Chi square (χ2) test [25]. The digestion rate of the sugar ingested by mosquitoes one and three days post-exposure was each calculated by logistic regression. Logistic relationships for uninfected and fungus-exposed mosquitoes were fitted to describe sugar detection success for each time elapsed since feeding. The difference between uninfected and fungus-exposed mosquitoes was estimated by the Chi square (χ2) test. All analyses were conducted using SPSS (version 17.0) Results: Survival of M. anisopliae-infected An. gambiae mosquitoes fed on plant sugars Infection with M. anisopliae reduced the survival of both sexes of An. gambiae with 100% mortality occurring within seven days compared to ≥ seven days with uninfected mosquitoes irrespective of the nutritional source (Figure 1). Survival of infected male and female mosquitoes in each nutritional group was significantly different from their respective controls. For example, the daily risk of death for both sexes was eight-fold greater on 6% glucose; four-fold (males) and eight-fold (females) greater on R. communis and two-fold greater for both sexes on P. hysterophorus relative to their controls (Table 1). In uninfected mosquitoes, the daily risk of death was three-fold greater for both males (HR = 3.4 [95% CI = 2.91 - 4.21], P = 0.0001) and females (HR = 2.9 [95% CI = 2.45 - 3.55], P = 0.0001) fed on R. communis and 14-fold greater for males (HR = 14.1 [95% CI = 11.33 - 17.6], P = 0.0001) and 13-fold greater for females (HR = 13.4 [95% CI = 10.71 - 16.8], P = 0.0001) fed on P. hysterophorus relative to 6% glucose. Therefore, P. hysterophorus caused a drastic reduction in the survival of mosquitoes regardless of fungal infection. Between sexes, survival rate over time in each nutritional regime was not different. Mycosis test results indicated high infection rates (>77%) in fungus-exposed male and female mosquitoes. No fungal conidia were observed on the cadavers of the control mosquitoes.Figure 1 Survival of uninfected and M. anisopliae -infected An. gambiae females (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6% glucose (panel A and B); (ii) Ricinus communis (panel C and D) and (iii) Parthenium hysterophorus (Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively.Table 1 Survival analysis of An. gambiae mosquitoes infected with M. anisopliae and fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus) Nutritional sources HR (95% CI) Male mosquitoes P-value Female mosquitoes P-value Glucose (6%)8.53 (6.68 - 10.89)0.00017.64 (5.99 - 9.75)0.0001 Ricinus communis 4.33 (3.59 - 5.23)0.00018.21 (6.49 - 10.37)0.0001 Parthenium hysterophorus 1.62 (1.40 - 1.89)0.00012.15 (1.85 - 2.50)0.0001 Survival of uninfected and M. anisopliae -infected An. gambiae females (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6% glucose (panel A and B); (ii) Ricinus communis (panel C and D) and (iii) Parthenium hysterophorus (Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively. Survival analysis of An. gambiae mosquitoes infected with M. anisopliae and fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus) Infection with M. anisopliae reduced the survival of both sexes of An. gambiae with 100% mortality occurring within seven days compared to ≥ seven days with uninfected mosquitoes irrespective of the nutritional source (Figure 1). Survival of infected male and female mosquitoes in each nutritional group was significantly different from their respective controls. For example, the daily risk of death for both sexes was eight-fold greater on 6% glucose; four-fold (males) and eight-fold (females) greater on R. communis and two-fold greater for both sexes on P. hysterophorus relative to their controls (Table 1). In uninfected mosquitoes, the daily risk of death was three-fold greater for both males (HR = 3.4 [95% CI = 2.91 - 4.21], P = 0.0001) and females (HR = 2.9 [95% CI = 2.45 - 3.55], P = 0.0001) fed on R. communis and 14-fold greater for males (HR = 14.1 [95% CI = 11.33 - 17.6], P = 0.0001) and 13-fold greater for females (HR = 13.4 [95% CI = 10.71 - 16.8], P = 0.0001) fed on P. hysterophorus relative to 6% glucose. Therefore, P. hysterophorus caused a drastic reduction in the survival of mosquitoes regardless of fungal infection. Between sexes, survival rate over time in each nutritional regime was not different. Mycosis test results indicated high infection rates (>77%) in fungus-exposed male and female mosquitoes. No fungal conidia were observed on the cadavers of the control mosquitoes.Figure 1 Survival of uninfected and M. anisopliae -infected An. gambiae females (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6% glucose (panel A and B); (ii) Ricinus communis (panel C and D) and (iii) Parthenium hysterophorus (Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively.Table 1 Survival analysis of An. gambiae mosquitoes infected with M. anisopliae and fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus) Nutritional sources HR (95% CI) Male mosquitoes P-value Female mosquitoes P-value Glucose (6%)8.53 (6.68 - 10.89)0.00017.64 (5.99 - 9.75)0.0001 Ricinus communis 4.33 (3.59 - 5.23)0.00018.21 (6.49 - 10.37)0.0001 Parthenium hysterophorus 1.62 (1.40 - 1.89)0.00012.15 (1.85 - 2.50)0.0001 Survival of uninfected and M. anisopliae -infected An. gambiae females (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6% glucose (panel A and B); (ii) Ricinus communis (panel C and D) and (iii) Parthenium hysterophorus (Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively. Survival analysis of An. gambiae mosquitoes infected with M. anisopliae and fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus) Quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes The quantity of sugar detected ranged from 1–64 μg. For easy analysis of the data, the mosquitoes were categorised as consumers of small, medium or large meals [26] if they imbibed 1–4 μg, 8–16 μg or 32–64 μg of sugar, respectively. Significantly fewer male and female mosquitoes exposed to fungus imbibed sugar from R. communis compared to mosquitoes not exposed to fungus (Figure 2). More uninfected than fungus-exposed mosquitoes ingested plant sugar. Fewer mosquitoes imbibed plant sugars at three days post-exposure than at one day post-exposure. Although fungus-exposed mosquitoes ingested less sugar than uninfected counterparts the differences were generally insignificant except for medium-feeding females three days post-exposure (Table 2) and small-feeding males, one and three days post-exposure (Table 3). Results from the mycosis test demonstrated high infection rates (>75%) in fungus-exposed males and females. No fungal hyphae were observed on the cadavers of control mosquitoes.Figure 2 Mean (± S.E) percentage of uninfected and M. anisopliae - infected An. gambiae males (Panel A) and females (Panel B) that imbibed sugar on exposure to Ricinus communis for 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes.Table 2 Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae female mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hours Sugar quantity Days post-exposure N Mean% (± S.E) of males that imbibed sugar χ 2 P Uninfected Fungus-infected Small1447.5 ± 8.5438.0 ± 7.963.690.055Medium429.0 ± 4.5126.0 ± 4.080.450.502Large418.5 ± 8.2219.5 ± 6.290.070.799Small3435.0 ± 4.1230.0 ± 5.61.140.286Medium422.0 ± 2.226.0 ± 2.1622.280.001Large412.0 ± 4.696.5 ± 6.53.600.058One and three d post-exposure females were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes.Table 3 Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae male mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hr Sugar quantity Days post-exposure N Mean% (± S.E) of males that imbibed sugar χ 2 P Uninfected Fungus-infected Small1456.0 ± 6.1641.0 ± 9.479.010.003Medium422.0 ± 3.5621.5 ± 4.190.020.903Large49.5 ± 1.716.5 ± 2.631.220.269Small3452.0 ± 8.4937.0 ± 6.149.110.003Medium416.5 ± 0.5010.5 ± 7.373.080.079Large44.0 ± 2.451.0 ± 1.03.690.055One and three d post-exposure males were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Mean (± S.E) percentage of uninfected and M. anisopliae - infected An. gambiae males (Panel A) and females (Panel B) that imbibed sugar on exposure to Ricinus communis for 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes. Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae female mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hours One and three d post-exposure females were tested. Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae male mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hr One and three d post-exposure males were tested. Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. The quantity of sugar detected ranged from 1–64 μg. For easy analysis of the data, the mosquitoes were categorised as consumers of small, medium or large meals [26] if they imbibed 1–4 μg, 8–16 μg or 32–64 μg of sugar, respectively. Significantly fewer male and female mosquitoes exposed to fungus imbibed sugar from R. communis compared to mosquitoes not exposed to fungus (Figure 2). More uninfected than fungus-exposed mosquitoes ingested plant sugar. Fewer mosquitoes imbibed plant sugars at three days post-exposure than at one day post-exposure. Although fungus-exposed mosquitoes ingested less sugar than uninfected counterparts the differences were generally insignificant except for medium-feeding females three days post-exposure (Table 2) and small-feeding males, one and three days post-exposure (Table 3). Results from the mycosis test demonstrated high infection rates (>75%) in fungus-exposed males and females. No fungal hyphae were observed on the cadavers of control mosquitoes.Figure 2 Mean (± S.E) percentage of uninfected and M. anisopliae - infected An. gambiae males (Panel A) and females (Panel B) that imbibed sugar on exposure to Ricinus communis for 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes.Table 2 Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae female mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hours Sugar quantity Days post-exposure N Mean% (± S.E) of males that imbibed sugar χ 2 P Uninfected Fungus-infected Small1447.5 ± 8.5438.0 ± 7.963.690.055Medium429.0 ± 4.5126.0 ± 4.080.450.502Large418.5 ± 8.2219.5 ± 6.290.070.799Small3435.0 ± 4.1230.0 ± 5.61.140.286Medium422.0 ± 2.226.0 ± 2.1622.280.001Large412.0 ± 4.696.5 ± 6.53.600.058One and three d post-exposure females were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes.Table 3 Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae male mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hr Sugar quantity Days post-exposure N Mean% (± S.E) of males that imbibed sugar χ 2 P Uninfected Fungus-infected Small1456.0 ± 6.1641.0 ± 9.479.010.003Medium422.0 ± 3.5621.5 ± 4.190.020.903Large49.5 ± 1.716.5 ± 2.631.220.269Small3452.0 ± 8.4937.0 ± 6.149.110.003Medium416.5 ± 0.5010.5 ± 7.373.080.079Large44.0 ± 2.451.0 ± 1.03.690.055One and three d post-exposure males were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Mean (± S.E) percentage of uninfected and M. anisopliae - infected An. gambiae males (Panel A) and females (Panel B) that imbibed sugar on exposure to Ricinus communis for 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes. Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae female mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hours One and three d post-exposure females were tested. Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae male mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hr One and three d post-exposure males were tested. Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Sugar digestion rate of M. anisopliae-infected An. gambiae mosquitoes The proportions of uninfected and M. anisopliae-infected mosquitoes testing positive for plant sugar consistently decreased over time (Figure 3). For each time period since feeding, more mosquitoes, one day post-exposure to fungus, tested positive for sugar than uninfected mosquitoes but the difference was not significant except in males at 32 hours (χ2 = 6.27; df = 1; P = 0.001) and in females at 24 hours (χ2 = 10.91; df = 1; P = 0.001) and 32 hours (χ2 = 11.25; df = 1; P = 0.001) of digestion. In addition, fewer mosquitoes, three days post-exposure, than controls tested positive for sugars until 16 hours in males and 24 hours in females after feeding with the differences significant at 32 hour of digestion (males: χ2 = 6.49; df = 1; P = 0.001; females χ2 = 7.67; df = 1; P = 0.006). Cumulative scores from time zero through to the 32 hour demonstrate that, more one day post-exposure males (52% versus 45%) and females (58% versus 39%) than controls tested positive for sugar. This was an overall indication that digestion rate was slower in fungus-exposed mosquitoes. The difference was only significant for females, one day post-exposure (Table 4). Further, the proportion of three day post-exposure males (43% versus 43%) and females (53% versus 53%) with sugar was equal to that of the controls. Hence, timing of fungal exposure only had an effect on sugar digestion in females. Results from mycosis tests indicated that, on average 73-81% of males and 78-85% of females were infected with fungus but no spores were observed on the cadaver of the control mosquitoes.Figure 3 Effect of infection with M. anisopliae on sugar detection success in An. gambiae mosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes.Table 4 Proportion of uninfected and fungus-exposed An. gambiae mosquitoes that tested positive for sugar within 32 hr after feeding on Ricinus communis for 12 hr Sex Days post-exposure N % mosquitoes sugar positive χ 2 P Percent (± S.E) infection Uninfected Fungus-exposed Male1445521.960.16173.0 ± 3.87 (146)Female438.55815.290.00178.0 ± 4.16 (156)Male3443.5430.010.92081.0 ± 1.0 (162)Female452.5530.010.92085.0 ± 2.08 (170)Males and females were tested one and three d post-exposure.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Effect of infection with M. anisopliae on sugar detection success in An. gambiae mosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes. Proportion of uninfected and fungus-exposed An. gambiae mosquitoes that tested positive for sugar within 32 hr after feeding on Ricinus communis for 12 hr Males and females were tested one and three d post-exposure. Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. The proportions of uninfected and M. anisopliae-infected mosquitoes testing positive for plant sugar consistently decreased over time (Figure 3). For each time period since feeding, more mosquitoes, one day post-exposure to fungus, tested positive for sugar than uninfected mosquitoes but the difference was not significant except in males at 32 hours (χ2 = 6.27; df = 1; P = 0.001) and in females at 24 hours (χ2 = 10.91; df = 1; P = 0.001) and 32 hours (χ2 = 11.25; df = 1; P = 0.001) of digestion. In addition, fewer mosquitoes, three days post-exposure, than controls tested positive for sugars until 16 hours in males and 24 hours in females after feeding with the differences significant at 32 hour of digestion (males: χ2 = 6.49; df = 1; P = 0.001; females χ2 = 7.67; df = 1; P = 0.006). Cumulative scores from time zero through to the 32 hour demonstrate that, more one day post-exposure males (52% versus 45%) and females (58% versus 39%) than controls tested positive for sugar. This was an overall indication that digestion rate was slower in fungus-exposed mosquitoes. The difference was only significant for females, one day post-exposure (Table 4). Further, the proportion of three day post-exposure males (43% versus 43%) and females (53% versus 53%) with sugar was equal to that of the controls. Hence, timing of fungal exposure only had an effect on sugar digestion in females. Results from mycosis tests indicated that, on average 73-81% of males and 78-85% of females were infected with fungus but no spores were observed on the cadaver of the control mosquitoes.Figure 3 Effect of infection with M. anisopliae on sugar detection success in An. gambiae mosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes.Table 4 Proportion of uninfected and fungus-exposed An. gambiae mosquitoes that tested positive for sugar within 32 hr after feeding on Ricinus communis for 12 hr Sex Days post-exposure N % mosquitoes sugar positive χ 2 P Percent (± S.E) infection Uninfected Fungus-exposed Male1445521.960.16173.0 ± 3.87 (146)Female438.55815.290.00178.0 ± 4.16 (156)Male3443.5430.010.92081.0 ± 1.0 (162)Female452.5530.010.92085.0 ± 2.08 (170)Males and females were tested one and three d post-exposure.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Effect of infection with M. anisopliae on sugar detection success in An. gambiae mosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes. Proportion of uninfected and fungus-exposed An. gambiae mosquitoes that tested positive for sugar within 32 hr after feeding on Ricinus communis for 12 hr Males and females were tested one and three d post-exposure. Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Survival of M. anisopliae-infected An. gambiae mosquitoes fed on plant sugars: Infection with M. anisopliae reduced the survival of both sexes of An. gambiae with 100% mortality occurring within seven days compared to ≥ seven days with uninfected mosquitoes irrespective of the nutritional source (Figure 1). Survival of infected male and female mosquitoes in each nutritional group was significantly different from their respective controls. For example, the daily risk of death for both sexes was eight-fold greater on 6% glucose; four-fold (males) and eight-fold (females) greater on R. communis and two-fold greater for both sexes on P. hysterophorus relative to their controls (Table 1). In uninfected mosquitoes, the daily risk of death was three-fold greater for both males (HR = 3.4 [95% CI = 2.91 - 4.21], P = 0.0001) and females (HR = 2.9 [95% CI = 2.45 - 3.55], P = 0.0001) fed on R. communis and 14-fold greater for males (HR = 14.1 [95% CI = 11.33 - 17.6], P = 0.0001) and 13-fold greater for females (HR = 13.4 [95% CI = 10.71 - 16.8], P = 0.0001) fed on P. hysterophorus relative to 6% glucose. Therefore, P. hysterophorus caused a drastic reduction in the survival of mosquitoes regardless of fungal infection. Between sexes, survival rate over time in each nutritional regime was not different. Mycosis test results indicated high infection rates (>77%) in fungus-exposed male and female mosquitoes. No fungal conidia were observed on the cadavers of the control mosquitoes.Figure 1 Survival of uninfected and M. anisopliae -infected An. gambiae females (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6% glucose (panel A and B); (ii) Ricinus communis (panel C and D) and (iii) Parthenium hysterophorus (Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively.Table 1 Survival analysis of An. gambiae mosquitoes infected with M. anisopliae and fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus) Nutritional sources HR (95% CI) Male mosquitoes P-value Female mosquitoes P-value Glucose (6%)8.53 (6.68 - 10.89)0.00017.64 (5.99 - 9.75)0.0001 Ricinus communis 4.33 (3.59 - 5.23)0.00018.21 (6.49 - 10.37)0.0001 Parthenium hysterophorus 1.62 (1.40 - 1.89)0.00012.15 (1.85 - 2.50)0.0001 Survival of uninfected and M. anisopliae -infected An. gambiae females (Panel A, C and E) and males (Panel B, D and F) when fed on: (i) 6% glucose (panel A and B); (ii) Ricinus communis (panel C and D) and (iii) Parthenium hysterophorus (Panel E and F). Uninfected and M. anisopliae-infected mosquitoes are depicted by closed squares and closed triangles, respectively. Survival analysis of An. gambiae mosquitoes infected with M. anisopliae and fed on different nutritional sources; data show Cox regression Hazard Ratio (HR) outcomes (95% CI), statistical p-values are relative to the relevant control (not exposed to fungus) Quantity of sugar imbibed by M. anisopliae-infected An. gambiae mosquitoes: The quantity of sugar detected ranged from 1–64 μg. For easy analysis of the data, the mosquitoes were categorised as consumers of small, medium or large meals [26] if they imbibed 1–4 μg, 8–16 μg or 32–64 μg of sugar, respectively. Significantly fewer male and female mosquitoes exposed to fungus imbibed sugar from R. communis compared to mosquitoes not exposed to fungus (Figure 2). More uninfected than fungus-exposed mosquitoes ingested plant sugar. Fewer mosquitoes imbibed plant sugars at three days post-exposure than at one day post-exposure. Although fungus-exposed mosquitoes ingested less sugar than uninfected counterparts the differences were generally insignificant except for medium-feeding females three days post-exposure (Table 2) and small-feeding males, one and three days post-exposure (Table 3). Results from the mycosis test demonstrated high infection rates (>75%) in fungus-exposed males and females. No fungal hyphae were observed on the cadavers of control mosquitoes.Figure 2 Mean (± S.E) percentage of uninfected and M. anisopliae - infected An. gambiae males (Panel A) and females (Panel B) that imbibed sugar on exposure to Ricinus communis for 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes.Table 2 Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae female mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hours Sugar quantity Days post-exposure N Mean% (± S.E) of males that imbibed sugar χ 2 P Uninfected Fungus-infected Small1447.5 ± 8.5438.0 ± 7.963.690.055Medium429.0 ± 4.5126.0 ± 4.080.450.502Large418.5 ± 8.2219.5 ± 6.290.070.799Small3435.0 ± 4.1230.0 ± 5.61.140.286Medium422.0 ± 2.226.0 ± 2.1622.280.001Large412.0 ± 4.696.5 ± 6.53.600.058One and three d post-exposure females were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes.Table 3 Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae male mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hr Sugar quantity Days post-exposure N Mean% (± S.E) of males that imbibed sugar χ 2 P Uninfected Fungus-infected Small1456.0 ± 6.1641.0 ± 9.479.010.003Medium422.0 ± 3.5621.5 ± 4.190.020.903Large49.5 ± 1.716.5 ± 2.631.220.269Small3452.0 ± 8.4937.0 ± 6.149.110.003Medium416.5 ± 0.5010.5 ± 7.373.080.079Large44.0 ± 2.451.0 ± 1.03.690.055One and three d post-exposure males were tested.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Mean (± S.E) percentage of uninfected and M. anisopliae - infected An. gambiae males (Panel A) and females (Panel B) that imbibed sugar on exposure to Ricinus communis for 12 hr. White and gray shaded bars represent uninfected and M. anisopliae-infected mosquitoes respectively. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes. Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae female mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hours One and three d post-exposure females were tested. Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Mean (± S.E) percentage of uninfected and fungus-infected An. gambiae male mosquitoes (see Figure 1 ) that imbibed different amounts of sugar when fed on Ricinus communis for 12 hr One and three d post-exposure males were tested. Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Sugar digestion rate of M. anisopliae-infected An. gambiae mosquitoes: The proportions of uninfected and M. anisopliae-infected mosquitoes testing positive for plant sugar consistently decreased over time (Figure 3). For each time period since feeding, more mosquitoes, one day post-exposure to fungus, tested positive for sugar than uninfected mosquitoes but the difference was not significant except in males at 32 hours (χ2 = 6.27; df = 1; P = 0.001) and in females at 24 hours (χ2 = 10.91; df = 1; P = 0.001) and 32 hours (χ2 = 11.25; df = 1; P = 0.001) of digestion. In addition, fewer mosquitoes, three days post-exposure, than controls tested positive for sugars until 16 hours in males and 24 hours in females after feeding with the differences significant at 32 hour of digestion (males: χ2 = 6.49; df = 1; P = 0.001; females χ2 = 7.67; df = 1; P = 0.006). Cumulative scores from time zero through to the 32 hour demonstrate that, more one day post-exposure males (52% versus 45%) and females (58% versus 39%) than controls tested positive for sugar. This was an overall indication that digestion rate was slower in fungus-exposed mosquitoes. The difference was only significant for females, one day post-exposure (Table 4). Further, the proportion of three day post-exposure males (43% versus 43%) and females (53% versus 53%) with sugar was equal to that of the controls. Hence, timing of fungal exposure only had an effect on sugar digestion in females. Results from mycosis tests indicated that, on average 73-81% of males and 78-85% of females were infected with fungus but no spores were observed on the cadaver of the control mosquitoes.Figure 3 Effect of infection with M. anisopliae on sugar detection success in An. gambiae mosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes.Table 4 Proportion of uninfected and fungus-exposed An. gambiae mosquitoes that tested positive for sugar within 32 hr after feeding on Ricinus communis for 12 hr Sex Days post-exposure N % mosquitoes sugar positive χ 2 P Percent (± S.E) infection Uninfected Fungus-exposed Male1445521.960.16173.0 ± 3.87 (146)Female438.55815.290.00178.0 ± 4.16 (156)Male3443.5430.010.92081.0 ± 1.0 (162)Female452.5530.010.92085.0 ± 2.08 (170)Males and females were tested one and three d post-exposure.Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Effect of infection with M. anisopliae on sugar detection success in An. gambiae mosquitoes. Panels A and B represent sugar detection success in uninfected and in M. anisopliae-infected males and females respectively one day post-exposure with Panels C and D represent 3 d post-exposure when fed on Ricinus communis for 12 hr. Solid lines representing uninfected mosquitoes and dotted lines representing infected mosquitoes describe the fitted logistic relationships between sugar detection success for each time period since feeding: − Logit (sugar detection success) = ß0 + ß1 time. Circles denote observed values. Level of statistical difference between treatments was calculated by Chi square ( χ 2 ) test. Each treatment tested 200 mosquitoes. Proportion of uninfected and fungus-exposed An. gambiae mosquitoes that tested positive for sugar within 32 hr after feeding on Ricinus communis for 12 hr Males and females were tested one and three d post-exposure. Statistical significance (P value) between the number of uninfected and fungus-infected mosquitoes in each category of sugar quantity imbibed was calculated by Chi square (χ 2) test. Each treatment tested 200 mosquitoes. Discussion: Results of this study demonstrate that under ambient conditions, infection with the entomopathogenic fungus M. anisopliae reduced the daily survival of An. gambiae mosquitoes irrespective of the sugar source. Such a significant reduction in the survival of An. gambiae on glucose within 10 d after exposure to M. anisopliae has been reported previously under laboratory conditions [27-30]. Moreover, both R. communis and P. hysterophorus had a strong negative effect on survival of healthy mosquitoes. These findings are in agreement with other studies that reported longer survivorship of healthy An. gambiae mosquitoes fed on glucose than on plant-derived sugars [16,18,31]. Recent studies have shown that An. gambiae feed from a wide variety of plants and the quantity of sugar affects their survival [17,31]. Moreover, although sugar is present in the leaves, stems and floral parts of the plants, it is in the latter that different sugar types are highly concentrated [19]. Therefore, the lower survival on plant sugars relative to 6% glucose in this study may be due to the limited choice of nectar sources provided i.e. one plant choice instead of mixed plant choices and insufficient production of sugar by nectaries of the cut plants or accumulation of toxic substances due to interruption of nutrient circulation in the plant cuttings. The longer survival of uninfected mosquitoes on R. communis than P. hysterophorus may be attributed to the high amounts of digestible sugars produced [32] and therefore consumed in larger amounts from R. communis than P. hysterophorus [31]. The drastic reduction in the survival of mosquitoes on P. hysterophorus may be associated with the limited feeding resource points on the plant as reported in other studies where mosquitoes ingested sugars from the leaves only when compared to sugars imbibed from leaves, stems and floral parts in the case of R. communis plant [19]. Interestingly, the negative effects of plant sugars from R. communis and P. hysterophorus as reported may be entirely overcome when the insects are additionally offered a blood meal and these sugars then are highly beneficial by extending the survivorship [13,22,33,34]. Survivorship is a key feature that defines the vectorial capacity of malaria vectors [35,36]. Survival of An. gambiae mosquitoes on R. communis in this study was longer than the extrinsic incubation period of a pathogen that is as short as 10d for the malaria parasite Plasmodium falciparum [37-39]. This concurs with other studies on survival of An. gambiae on plant sugars [16,31]. As this occurred under semi-field conditions, it is likely that in field situations mosquitoes forage on a wide variety of plants to complete their dietary requirements, sustain longevity and with blood-supplement become efficient as malaria vectors. Therefore, reduction in the life-span of both sexes of An. gambiae by entomopathogenic fungi as demonstrated in this study could lead to a considerable reduction in malaria transmission. Infection with fungi strongly reduced the proportion of mosquitoes that ingested sugar from R. communis independent of the time since infection. Interestingly, the feeding potential and the quantity of sugar assimilated by the mosquitoes that did feed remained similar between the treatment and the control groups. This is the first study to report on the impact of entomopathogenic fungi M. anisopliae on plant sugar feeding since reports to date about mosquitoes have addressed reduction of blood-feeding in fungus-infected females [1,2,5]. These findings corroborate our previous work that showed reduction in blood-feeding propensity in fungus-infected mosquitoes [40]. Both findings suggest that entomopathogenic fungi impose a similar effect on the feeding behaviour of mosquitoes irrespective of the food source. In other insect species, a significant reduction in feeding in the maize stem borer Chilo partellus (Swinhoe) larvae [41], adult thrips Megalurothrips sjostedti Trybom [42] and the variegated grasshopper, Zonocerus variegatus (Linnaeus) [43] occurred as early as one to four days after infection with the entomopathogenic fungus M. anisopliae. The normal feeding that we observed has also been reported in corn earworm, Heliothis zea (Boddie) larvae [44] infected with B. bassiana. The insects, however, die at a later stage, which may indicate that infection causes starvation due to physiological changes in infected hosts. The reduction in sugar-feeding propensity may be attributed to three factors. First, infected mosquitoes may have fed as often as the uninfected ones but the sugar content was too low to be detected. Secondly, the sugar in infected mosquitoes may have already been digested and converted into a metabolic product which the anthrone test could not detect. Lastly, some of the ‘sick insects’ may have lost appetite [43], thus affecting their feeding ability [45-47]. The normal feeding in fungus-infected mosquitoes could be associated with dose [48] and the insect defense mechanism to fight the infection [49]. This is because the immune system of insects responds in defense of fungal attack as early as 12 h after exposure to the pathogen [50]. The study has further shown that infection by M. anisopliae has no effect on the digestion rate of sugar except in females, one day post-exposure. However, as the fungal infection progressed, fewer infected than uninfected mosquitoes (both sexes) tested sugar positive. Digestion of sugar in insects takes place in the crop and midgut and its rate is influenced by the meal size consumed, sugar concentration [51], metabolic rate [52] and the extent of energy reserves, among other factors. The mechanism that affects feeding rate due to pathogen attack may also affect the digestion process. Therefore, the slow digestion rate in early days of fungal infection is likely to be associated with the dose and the mechanical disruption of the midgut tissues by fungal toxins [46]. Furthermore, the increased breakdown of sugar as the infection advances could be associated with the need to replenish the teneral energy reserves depleted by invasive fungal pathogens in the insect haemolymph. These teneral reserves are critical for the survival of insects [13,53]. In the case where digestion rate between treatments was equal, it is likely that infected mosquitoes imbibed more sugar than controls for two purposes. First, to nourish the storage reserve this is the primary source of nourishment to the fungal pathogen [54]. Second, to replenish and store sugar in the crop for future use. This is because the accumulation of energy reserves retards digestion [6]. Between sexes, the proportion of individuals that tested positive to sugars did not differ in spite of their different synthesis of reserves. This concurs with what has been reported by van Handel [51]. The inability of fungus-exposed mosquitoes to sugar feed may pose some advantages. The life-span of both sexes could be reduced to less than five days. During this period, the mating ability of males may be compromised leading to fewer females getting inseminated. Although females can build their energy reserves from human blood, they may not survive long enough to become efficient malaria vectors. Therefore, if both sexes become infected early in life, this could lead to population suppression, incomplete development of the malaria parasite in females and reduction in malaria transmission [5,12]. Moreover, the ability of mosquitoes to feed on and digest sugars may negatively impact on the survival of both sexes and minimize human-mosquito contact. Thus, maintaining the normal rate of food consumption and digestion in fungus-infected insects for as long as possible benefits the fungal pathogen because this maximizes the amount of food available for the entomopathogen [33,55]. Further research however is needed to determine if a similar impact of fungus can occur in field situations. The life of male mosquitoes is exclusively tied to the plant community. By focusing on fungal inoculation during plant feeding, therefore, both males and females are likely to become infected. Control strategies that target both sexes may lead to significant reduction in the prevalence and transmission of malaria and other mosquito borne diseases. In recent studies, the efficiency of plant attractants in attractive toxic sugar baits (ATSB) for the control of mosquitoes has been demonstrated [20,56-61]. The approach uses odour stationary traps baited with fermented ripe fruits and flower scent as attractants, a sugar solution as feeding stimulant and an oral pesticide [20]. The strategy can be adopted to infect and kill mosquitoes with entomopathogenic fungi during plant sugar feeding in two ways. Firstly, by spraying flowering plants with fungal conidia formulated in a suitable carrier that can withstand ultra-violent effects and retain spore virulence. This strategy however, requires assessment on the impact of fungal pathogens on non-target organisms especially pollinators as reported in a separate study with the use of ATSB [62]. Secondly, by spraying fungal conidia in traps baited with fruits and flowers and sugar solution or plant-derived synthetic odours to which mosquitoes respond to [63]. The use of plant odours in the traps will also increase the chance of infecting female mosquitoes harbouring malaria parasites with fungus since the ‘sick mosquitoes’ are reported to be highly attracted to sugar sources [64]. The first approach may be cost effective since preparation of attractants for the traps may be problematic. Also, more mosquitoes are likely to be targeted and killed by spraying the plants than by being attracted to the baited traps, as these are in competition with flowering plants. Nevertheless, research is needed to demonstrate the possibility of these proposed pathways and other unexplored approaches for infecting wild mosquitoes, particularly males, by entomopathogenic fungi. Conclusions: This study has demonstrated that infection with entomopathogenic fungi reduces survival and plant sugar-feeding ability of male and female An. gambiae mosquitoes, but not their potential to ingest and digest sugars, except in the late stages of fungal infection. By reducing survival, a fraction of the mosquito population is eliminated thus lowering the level of malaria transmission. The fact that infected mosquitoes continue to feed is an indication that they have a chance to sustain their physiological requirements including reproduction. This may delay mosquitoes from succumbing to infection quickly but may facilitate the occurrence of sub-lethal effects that can lead to reduction in fecundity and a further decline of mosquito population, hence disease transmission. The possibility of targeting male mosquitoes for population reduction by an entomopathogenic fungus opens a new strategy for mosquito vector control.
Background: The entomopathogenic fungus Metarhizium anisopliae shows great promise for the control of adult malaria vectors. A promising strategy for infection of mosquitoes is supplying the fungus at plant feeding sites. Methods: We evaluated the survival of fungus-exposed Anopheles gambiae mosquitoes (males and females) fed on 6% glucose and on sugars of Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed). Further, we determined the feeding propensity, quantity of sugar ingested and its digestion rate in the mosquitoes when fed on R. communis for 12 hours, one and three days post-exposure to fungus. The anthrone test was employed to detect the presence of sugar in each mosquito from which the quantity consumed and the digestion rates were estimated. Results: Fungus-exposed mosquitoes lived for significantly shorter periods than uninfected mosquitoes when both were fed on 6% glucose (7 versus 37 days), R. communis (7 versus 18 days) and P. hysterophorus (5 versus 7 days). Significantly fewer male and female mosquitoes, one and three days post-exposure to fungus, fed on R. communis compared to uninfected controls. Although the quantity of sugar ingested was similar between the treatment groups, fewer fungus-exposed than control mosquitoes ingested small, medium and large meals. Digestion rate was significantly slower in females one day after exposure to M. anisopliae compared to controls but remained the same in males. No change in digestion rate between treatments was observed three days after exposure. Conclusions: These results demonstrate that (a) entomopathogenic fungi strongly impact survival and sugar-feeding propensity of both sexes of the malaria vector An. gambiae but do not affect their potential to feed and digest meals, and (b) that plant sugar sources can be targeted as fungal delivery substrates. In addition, targeting males for population reduction using entomopathogenic fungi opens up a new strategy for mosquito vector control.
Background: Studies have shown that fungal pathogens reduce survival of Anopheles mosquitoes to a level that prevents transmission of malaria parasites [1-3]. The fungi achieve this by reducing mosquito blood feeding [4,5] and fecundity [5]. Plant sugar acquired from floral and extrafloral nectaries, honeydew, damaged fruits and leaves is essential for mosquito survival [6-8]. It is the only nutritional source of adult males and a dietary supplement to blood for females. Sugar feeding is an early priority for both sexes, which typically have limited energy reserves upon emergence [9-14]. Besides survival and building of energy reserves, sugar enhances maturation of ovarian follicles in females and reproductive fitness in males [15]. Survival of the malaria mosquito Anopheles gambiae is assured with frequent feeding and ingestion of sizeable amounts of sugar meals [16] or by ingestion of small amounts of sugar at a time [6,8]. Recent studies have shown that mosquitoes feed on a wide variety of plants common in their natural habitats [17-20] with males preferentially feeding on the most rewarding sugar sources [21]. Sugars from some of these plants promote longer survival of both sexes, which enhances the vectorial capacity of females [16,22] and fitness and reproductive capacity of the males [21]. Most studies, though, have targeted females due to their significant role in malaria transmission with the contribution of males in the whole process often overlooked. As sugar feeding is central in the biology of adult mosquitoes, it is imperative to assess whether infection of mosquitoes with entomopathogenic fungi impacts sugar feeding. This study investigated three aspects of plant sugar feeding behaviour of adult male and female An. gambiae mosquitoes under natural climatic conditions. These included (a) determining the survival of fungus-exposed An. gambiae mosquitoes when fed on glucose or plant sugars, (b) establishing the feeding propensity and the quantity of sugar ingested from plants by the infected mosquitoes and (c) assessing the digestion rate of sugar imbibed by fungus-exposed mosquitoes. Conclusions: This study has demonstrated that infection with entomopathogenic fungi reduces survival and plant sugar-feeding ability of male and female An. gambiae mosquitoes, but not their potential to ingest and digest sugars, except in the late stages of fungal infection. By reducing survival, a fraction of the mosquito population is eliminated thus lowering the level of malaria transmission. The fact that infected mosquitoes continue to feed is an indication that they have a chance to sustain their physiological requirements including reproduction. This may delay mosquitoes from succumbing to infection quickly but may facilitate the occurrence of sub-lethal effects that can lead to reduction in fecundity and a further decline of mosquito population, hence disease transmission. The possibility of targeting male mosquitoes for population reduction by an entomopathogenic fungus opens a new strategy for mosquito vector control.
Background: The entomopathogenic fungus Metarhizium anisopliae shows great promise for the control of adult malaria vectors. A promising strategy for infection of mosquitoes is supplying the fungus at plant feeding sites. Methods: We evaluated the survival of fungus-exposed Anopheles gambiae mosquitoes (males and females) fed on 6% glucose and on sugars of Ricinus communis (Castor oil plant) and Parthenium hysterophorus (Santa Maria feverfew weed). Further, we determined the feeding propensity, quantity of sugar ingested and its digestion rate in the mosquitoes when fed on R. communis for 12 hours, one and three days post-exposure to fungus. The anthrone test was employed to detect the presence of sugar in each mosquito from which the quantity consumed and the digestion rates were estimated. Results: Fungus-exposed mosquitoes lived for significantly shorter periods than uninfected mosquitoes when both were fed on 6% glucose (7 versus 37 days), R. communis (7 versus 18 days) and P. hysterophorus (5 versus 7 days). Significantly fewer male and female mosquitoes, one and three days post-exposure to fungus, fed on R. communis compared to uninfected controls. Although the quantity of sugar ingested was similar between the treatment groups, fewer fungus-exposed than control mosquitoes ingested small, medium and large meals. Digestion rate was significantly slower in females one day after exposure to M. anisopliae compared to controls but remained the same in males. No change in digestion rate between treatments was observed three days after exposure. Conclusions: These results demonstrate that (a) entomopathogenic fungi strongly impact survival and sugar-feeding propensity of both sexes of the malaria vector An. gambiae but do not affect their potential to feed and digest meals, and (b) that plant sugar sources can be targeted as fungal delivery substrates. In addition, targeting males for population reduction using entomopathogenic fungi opens up a new strategy for mosquito vector control.
17,153
366
[ 178, 414, 130, 500, 92, 202, 281, 202, 30, 267, 704, 929, 912 ]
18
[ "mosquitoes", "sugar", "fungus", "infected", "uninfected", "exposure", "anisopliae", "gambiae", "communis", "post" ]
[ "mosquitoes irrespective nutritional", "sugar fewer mosquitoes", "plant sugars mosquitoes", "female mosquitoes nutritional", "sugars mosquitoes anthrone" ]
null
[CONTENT] Metarhizium anisopliae | Anopheles gambiae s.s | Host plants | Sugar feeding | Malaria vector [SUMMARY]
null
[CONTENT] Metarhizium anisopliae | Anopheles gambiae s.s | Host plants | Sugar feeding | Malaria vector [SUMMARY]
[CONTENT] Metarhizium anisopliae | Anopheles gambiae s.s | Host plants | Sugar feeding | Malaria vector [SUMMARY]
[CONTENT] Metarhizium anisopliae | Anopheles gambiae s.s | Host plants | Sugar feeding | Malaria vector [SUMMARY]
[CONTENT] Metarhizium anisopliae | Anopheles gambiae s.s | Host plants | Sugar feeding | Malaria vector [SUMMARY]
[CONTENT] Animals | Anopheles | Anthracenes | Asteraceae | Carbohydrates | Feeding Behavior | Female | Insect Vectors | Malaria | Male | Metarhizium | Mosquito Control | Ricinus | Survival Analysis [SUMMARY]
null
[CONTENT] Animals | Anopheles | Anthracenes | Asteraceae | Carbohydrates | Feeding Behavior | Female | Insect Vectors | Malaria | Male | Metarhizium | Mosquito Control | Ricinus | Survival Analysis [SUMMARY]
[CONTENT] Animals | Anopheles | Anthracenes | Asteraceae | Carbohydrates | Feeding Behavior | Female | Insect Vectors | Malaria | Male | Metarhizium | Mosquito Control | Ricinus | Survival Analysis [SUMMARY]
[CONTENT] Animals | Anopheles | Anthracenes | Asteraceae | Carbohydrates | Feeding Behavior | Female | Insect Vectors | Malaria | Male | Metarhizium | Mosquito Control | Ricinus | Survival Analysis [SUMMARY]
[CONTENT] Animals | Anopheles | Anthracenes | Asteraceae | Carbohydrates | Feeding Behavior | Female | Insect Vectors | Malaria | Male | Metarhizium | Mosquito Control | Ricinus | Survival Analysis [SUMMARY]
[CONTENT] mosquitoes irrespective nutritional | sugar fewer mosquitoes | plant sugars mosquitoes | female mosquitoes nutritional | sugars mosquitoes anthrone [SUMMARY]
null
[CONTENT] mosquitoes irrespective nutritional | sugar fewer mosquitoes | plant sugars mosquitoes | female mosquitoes nutritional | sugars mosquitoes anthrone [SUMMARY]
[CONTENT] mosquitoes irrespective nutritional | sugar fewer mosquitoes | plant sugars mosquitoes | female mosquitoes nutritional | sugars mosquitoes anthrone [SUMMARY]
[CONTENT] mosquitoes irrespective nutritional | sugar fewer mosquitoes | plant sugars mosquitoes | female mosquitoes nutritional | sugars mosquitoes anthrone [SUMMARY]
[CONTENT] mosquitoes irrespective nutritional | sugar fewer mosquitoes | plant sugars mosquitoes | female mosquitoes nutritional | sugars mosquitoes anthrone [SUMMARY]
[CONTENT] mosquitoes | sugar | fungus | infected | uninfected | exposure | anisopliae | gambiae | communis | post [SUMMARY]
null
[CONTENT] mosquitoes | sugar | fungus | infected | uninfected | exposure | anisopliae | gambiae | communis | post [SUMMARY]
[CONTENT] mosquitoes | sugar | fungus | infected | uninfected | exposure | anisopliae | gambiae | communis | post [SUMMARY]
[CONTENT] mosquitoes | sugar | fungus | infected | uninfected | exposure | anisopliae | gambiae | communis | post [SUMMARY]
[CONTENT] mosquitoes | sugar | fungus | infected | uninfected | exposure | anisopliae | gambiae | communis | post [SUMMARY]
[CONTENT] sugar | feeding | sugar feeding | mosquitoes | survival | males | malaria | plants | studies | adult [SUMMARY]
null
[CONTENT] mosquitoes | sugar | uninfected | infected | tested | exposure | males | females | post | post exposure [SUMMARY]
[CONTENT] population | mosquito population | transmission | mosquito | mosquitoes | reduction | infection | entomopathogenic | effects lead | entomopathogenic fungus opens new [SUMMARY]
[CONTENT] mosquitoes | sugar | fungus | infected | uninfected | exposure | communis | hours | post | plant [SUMMARY]
[CONTENT] mosquitoes | sugar | fungus | infected | uninfected | exposure | communis | hours | post | plant [SUMMARY]
[CONTENT] Metarhizium ||| [SUMMARY]
null
[CONTENT] 6% | 7 | 37 days | R. | 7 | 18 days | 5 | 7 days ||| one and three days | fed | R. ||| ||| one day ||| three days [SUMMARY]
[CONTENT] ||| mosquito [SUMMARY]
[CONTENT] Metarhizium ||| ||| 6% | Ricinus | Castor | Santa Maria ||| R. | 12 hours | one and three days ||| ||| 6% | 7 | 37 days | R. | 7 | 18 days | 5 | 7 days ||| one and three days | fed | R. ||| ||| one day ||| three days ||| ||| mosquito [SUMMARY]
[CONTENT] Metarhizium ||| ||| 6% | Ricinus | Castor | Santa Maria ||| R. | 12 hours | one and three days ||| ||| 6% | 7 | 37 days | R. | 7 | 18 days | 5 | 7 days ||| one and three days | fed | R. ||| ||| one day ||| three days ||| ||| mosquito [SUMMARY]
Influence of salivary conditioning and sucrose concentration on biofilm-mediated enamel demineralization.
32236356
The acquired pellicle formation is the first step in dental biofilm formation. It distinguishes dental biofilms from other biofilm types.
INTRODUCTION
Saliva collection was approved by Indiana University IRB. Three donors provided wax-stimulated saliva as the microcosm bacterial inoculum source. Acquired pellicle was formed on bovine enamel samples. Two groups (0.5% and 1% sucrose-supplemented growth media) with three subgroups (surface conditioning using filtered/pasteurized saliva; filtered saliva; and deionized water (DIW)) were included (n=9/subgroup). Biofilm was then allowed to grow for 48 h using Brain Heart Infusion media supplemented with 5 g/l yeast extract, 1 mM CaCl2.2H2O, 5% vitamin K and hemin (v/v), and sucrose. Enamel samples were analyzed for Vickers surface microhardness change (VHNchange), and transverse microradiography measuring lesion depth (L) and mineral loss (∆Z). Data were analyzed using two-way ANOVA.
METHODOLOGY
The two-way interaction of sucrose concentration × surface conditioning was not significant for VHNchange (p=0.872), ∆Z (p=0.662) or L (p=0.436). Surface conditioning affected VHNchange (p=0.0079), while sucrose concentration impacted ∆Z (p<0.0001) and L (p<0.0001). Surface conditioning with filtered/pasteurized saliva resulted in the lowest VHNchange values for both sucrose concentrations. The differences between filtered/pasteurized subgroups and the two other surface conditionings were significant (filtered saliva p=0.006; DIW p=0.0075). Growing the biofilm in 1% sucrose resulted in lesions with higher ∆Z and L values when compared with 0.5% sucrose. The differences in ∆Z and L between sucrose concentration subgroups was significant, regardless of surface conditioning (both p<0.0001).
RESULTS
Within the study limitations, surface conditioning using human saliva does not influence biofilm-mediated enamel caries lesion formation as measured by transverse microradiography, while differences were observed using surface microhardness, indicating a complex interaction between pellicle proteins and biofilm-mediated demineralization of the enamel surface.
CONCLUSION
[ "Animals", "Biofilms", "Cattle", "Dental Enamel", "Dental Pellicle", "Hardness", "Microradiography", "Pasteurization", "Reference Values", "Saliva", "Sucrose", "Surface Properties", "Tooth Demineralization" ]
7105287
Introduction
Dental caries is a multifactorial disease, in which acid–producing bacteria, dietary carbohydrates, time, and a susceptible host contribute to the disease initiation and progression.1 The process starts when oral bacteria, present in an equilibrium state, ferment carbohydrates; this equilibrium shifts to increased populations of acidogenic (acid–producing) and aciduric (acid–tolerant) bacteria.1 The consistent presence of acid in the environment disrupts the mineral equilibrium of the exposed dental structures (i.e. enamel and/or dentin), and, therefore, leads to carious lesions.1,2 Dental biofilm has been defined as “matrix–enclosed microbial communities in which cells adhere to each other and/or to surfaces or interfaces.”3 Over 700 bacterial species are present in the oral cavity.4 They are in all oral hard and soft tissue structures. These bacterial aggregations usually produce and become enclosed in extracellular polymeric substance (EPS). The formation of dental biofilm (or dental plaque) consists of several steps, which start with the formation of the acquired pellicle, followed by the initial adhesion of planktonic bacteria to the pellicle layer by binding sites, subsequent maturation of the bacterial biofilm, and, finally, the dispersion of biofilm with detachment of cells/clusters of cells.5 The formation of the acquired pellicle is the first step in dental biofilm formation, and it is a unique step distinguishing it from other biofilm types.5 It consists of several interactions between various salivary glycoproteins, and their interaction with the tooth surface. These biochemical interactions are based on Gibbs law of free enthalpy5,6; they lead to the attachment of salivary glycoproteins to a surface (i.e. the enamel). The resulting formed layer is a protein–rich layer with binding sites; these sites are ready for early colonizers to attach.6 Based on this unique process, some studies suggested a new intervention to prevent biofilm formation: this intervention is in the form of preventing pellicle formation.7 Many microbial studies have explored and studied dental biofilm from many aspects using different cariogenic models.8-11 However, they omitted the step of surface conditioning by the formation of acquired pellicle. This leads to less clinical relevance, especially for this area of study (the significance of including the pellicle) has not been researched previously. Acquired enamel pellicle (AEP) has been explored previously for its composition and function.12-16 Studies have explored pellicles and found differences between AEP formed in vitro, in vivo, and in situ. These studies have reported ultrastructural variations, intrinsic and extrinsic maturation variations, as well as variation in the AEP morphology. Studies have found that in vitro AEP were superior to in vivo, which contain higher amounts of proteins. They are also superior in the overall amounts produced (due to the difficulty in collecting in vivo AEP).12-16 In in vitro studies, the salivary pellicle can typically form before exposure to bacteria–containing media, resulting in biofilm formation. Several methods have been used to form a salivary pellicle.17-19 In general, the dental surface is exposed to saliva (sterilized, free from bacteria) for a specific amount of time (ranges from minutes to several hours) before being exposed to oral bacteria for biofilm formation.17-19 The significance of surface conditioning before biofilm growth (to allow the formation of acquired enamel pellicle) in studying biofilm models was not evaluated previously and, therefore, needs to be explored. Hence, this study aims to explore the influence of salivary conditioning before biofilm formation on enamel demineralization. The hypothesis was: 1) a significant difference between filtered/pasteurized saliva, filtered saliva, and deionized water (DIW; negative control) as conditioning agents on biofilm–mediated enamel demineralization; and 2) a significant difference between 0.5% and 1% sucrose–supplemented growth media on enamel demineralization.
Methodology
Specimen preparation Extracted bovine incisors were sectioned to obtain 5×5 mm enamel specimens using a Buehler IsometTM low-speed saw (Buehler, Ltd., Lake Bluff, IL, USA). Approximately 54 teeth were used to obtain 54 specimens. During preparation, the teeth were stored in deionized water with thymol. Using a Struers Rotopol 31/RotoForce 4 polishing unit (Struers Inc., Cleveland, PA, USA), all specimens were ground and polished to ensure flat parallel dentin/enamel surfaces. For the finishing process, the dentin side was ground using 500–grit silicon carbide grinding paper. Then, the enamel side was serially ground using 1,200, 2,400 and 4,000 grit papers. After that, specimens were polished using a 1–µm diamond polishing suspension on a polishing cloth to obtain a 5×5 mm polished enamel surface. All specimens were examined for cracks, white spots, or any other flaws that could exclude the specimen from the study, using Nikon SMZ 1500 stereomicroscope at ×20 magnification. Extracted bovine incisors were sectioned to obtain 5×5 mm enamel specimens using a Buehler IsometTM low-speed saw (Buehler, Ltd., Lake Bluff, IL, USA). Approximately 54 teeth were used to obtain 54 specimens. During preparation, the teeth were stored in deionized water with thymol. Using a Struers Rotopol 31/RotoForce 4 polishing unit (Struers Inc., Cleveland, PA, USA), all specimens were ground and polished to ensure flat parallel dentin/enamel surfaces. For the finishing process, the dentin side was ground using 500–grit silicon carbide grinding paper. Then, the enamel side was serially ground using 1,200, 2,400 and 4,000 grit papers. After that, specimens were polished using a 1–µm diamond polishing suspension on a polishing cloth to obtain a 5×5 mm polished enamel surface. All specimens were examined for cracks, white spots, or any other flaws that could exclude the specimen from the study, using Nikon SMZ 1500 stereomicroscope at ×20 magnification. Baseline measurement and experimental groups All specimens were subjected to enamel surface microhardness test (VHNsound) to ensure standardization. A Vickers diamond identifier (Tukon 2100; Wilson-Instron, Norwood, MA, USA) was used with a load of 200 g for 15 s. Three indentations, approximately 100 µm apart, were placed on each specimen and averaged; the inclusion range was VHNsound between 300-380. Specimens were divided into two groups, based on the sucrose concentration to which the biofilm/enamel surface was subjected (0.5% and 1% sucrose concentrations). Each group was divided further into three subgroups (n=9/subgroup), according to the nature of the salivary conditioning to the enamel surface before biofilm formation. The three conditions tested were: filtered/pasteurized saliva; filtered saliva; and deionized water (DIW; negative control). All specimens were subjected to enamel surface microhardness test (VHNsound) to ensure standardization. A Vickers diamond identifier (Tukon 2100; Wilson-Instron, Norwood, MA, USA) was used with a load of 200 g for 15 s. Three indentations, approximately 100 µm apart, were placed on each specimen and averaged; the inclusion range was VHNsound between 300-380. Specimens were divided into two groups, based on the sucrose concentration to which the biofilm/enamel surface was subjected (0.5% and 1% sucrose concentrations). Each group was divided further into three subgroups (n=9/subgroup), according to the nature of the salivary conditioning to the enamel surface before biofilm formation. The three conditions tested were: filtered/pasteurized saliva; filtered saliva; and deionized water (DIW; negative control). Salivary bacterial model Biofilm model After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21 After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21 Saliva collection Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below. Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below. Saliva pasteurization The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use. The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use. Biofilm model After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21 After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21 Saliva collection Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below. Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below. Saliva pasteurization The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use. The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use.
Results
The two-way interaction sucrose concentration × surface conditioning was not significant for VHNchange (p=0.872), ∆Z (p=0.662) or L (p=0.436). Surface conditioning affected VHNchange significantly (p=0.0079); however, it did not affect ∆Z (p=0.7383) or L (p=0.7323). Sucrose concentration impacted ∆Z (p<0.0001) and L (p<0.0001); however, it did not affect VHNchange (p=0.2877). Table 1 shows the data for all measured variables for each subgroup. The VHNchange pairwise multiple comparison analyses indicated that the pellicle type created a significant difference between groups. In both sucrose concentrations, surface conditioning with filtered/pasteurized saliva resulted in the lowest VHNchange values, when compared with other surface conditioning groups. The difference between filtered/pasteurized subgroups and the two other surface conditionings was significant (filtered/pasteurized and filtered saliva subgroups p=0.006; filtered/pasteurized and DIW subgroups p=0.0075), while difference was insignificant between filtered saliva and DIW subgroups (p= 0.9312) (Table 1). For the ∆Z values, the pairwise comparisons indicated a statistically significant difference only between 0.5% and 1% sucrose concentration (p<0.0001), and not based on the surface conditioning status. Growing the biofilm in 1% sucrose always resulted in lesions with higher ∆Z values, indicating more severe lesions. Similarly, the pairwise comparisons for L values indicated a statistically significant difference between 0.5% and 1% sucrose (p<0.0001). Also, the L values were always higher in 1% incubation conditions, which means more severe carious lesions (Table 1).
Conclusion
Considering the limitations of this study, the presence or absence of an artificially induced acquired pellicle layer does not influence biofilm–mediated enamel caries lesion formation as measured by TMR. Some differences were observed using surface microhardness, indicating a complex interaction between pellicle proteins and biofilm–mediated demineralization of the enamel surface. Table 1Percentage surface microhardness (VHNchange), mineral loss (∆Z; %volmin.μm), and lesion depth (L; μm) data (mean ± standard deviation) for all treatment groupsSurface ConditioningSucrose Concen- trationVHNchange∆ZL Filtered/ Pasteurized SalivaFiltered SalivaControl (DIW)Filtered/ Pasteurized SalivaFiltered SalivaControl (DIW)Filtered/ Pasteurized SalivaFiltered SalivaControl (DIW)0.5%32.7a, A51.5b, A48b, A820a, A1257a, A867a, A38.8a, A47.8a, A37.3a, A ±20.7 ±18.4 ±17.1 ±266 ±406 ±338 ±9 ±9.6 ±14.2 1%24.8a, A43.9b, A46.2b, A2623a, B2505a, B2428a, B78.4a, B73.3a, B74.6a, B ±22.4 ±21 ±18.8 ±1014 ±1480 ±1208 ±17.5 ±26.7 ±20.6 Upper case letters indicate statistically significant differences between surface conditioning methods within sucrose concentrationsLower case letters indicate statistically significant differences between sucrose concentrations within surface conditioning methods Upper case letters indicate statistically significant differences between surface conditioning methods within sucrose concentrations Lower case letters indicate statistically significant differences between sucrose concentrations within surface conditioning methods
[ "Specimen preparation", "Baseline measurement and experimental groups", "Salivary bacterial model", "Biofilm model", "Saliva collection", "Saliva pasteurization", "Surface conditioning", "Biofilm growth", "Post-treatment analyses", "Surface microhardness change (VHNchange)", "Transverse microradiography", "Statistical analysis" ]
[ "Extracted bovine incisors were sectioned to obtain 5×5 mm enamel specimens using a Buehler IsometTM low-speed saw (Buehler, Ltd., Lake Bluff, IL, USA). Approximately 54 teeth were used to obtain 54 specimens. During preparation, the teeth were stored in deionized water with thymol. Using a Struers Rotopol 31/RotoForce 4 polishing unit (Struers Inc., Cleveland, PA, USA), all specimens were ground and polished to ensure flat parallel dentin/enamel surfaces. For the finishing process, the dentin side was ground using 500–grit silicon carbide grinding paper. Then, the enamel side was serially ground using 1,200, 2,400 and 4,000 grit papers. After that, specimens were polished using a 1–µm diamond polishing suspension on a polishing cloth to obtain a 5×5 mm polished enamel surface. All specimens were examined for cracks, white spots, or any other flaws that could exclude the specimen from the study, using Nikon SMZ 1500 stereomicroscope at ×20 magnification.", "All specimens were subjected to enamel surface microhardness test (VHNsound) to ensure standardization. A Vickers diamond identifier (Tukon 2100; Wilson-Instron, Norwood, MA, USA) was used with a load of 200 g for 15 s. Three indentations, approximately 100 µm apart, were placed on each specimen and averaged; the inclusion range was VHNsound between 300-380. Specimens were divided into two groups, based on the sucrose concentration to which the biofilm/enamel surface was subjected (0.5% and 1% sucrose concentrations). Each group was divided further into three subgroups (n=9/subgroup), according to the nature of the salivary conditioning to the enamel surface before biofilm formation. The three conditions tested were: filtered/pasteurized saliva; filtered saliva; and deionized water (DIW; negative control).", " Biofilm model After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21\nAfter completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21\n Saliva collection Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below.\nEthical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below.\n Saliva pasteurization The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use.\nThe collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use.", "After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21", "Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below.", "The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use.", "All specimens were immersed in their corresponding solutions: filtered/pasteurized saliva, filtered saliva, or DIW as negative control. Specimens were incubated in their respective solution at 5% CO2 and 37ºC for 5 minutes to allow surface conditioning.", "Immediately after surface conditioning, specimens were transferred to a new, sterile 6–well plate containing growth culture media that was inoculated with the overnight bacterial culture (without washing the samples between the two steps). Microcosm biofilm was grown under anaerobic conditions at 37°C for 48 h. The growth media used to grow the biofilm was Brain Heart Infusion (BHI) broth, supplemented with 5 g/L yeast extract, 5% vitamin K and hemin (v/v) and supplemented with either 0.5% sucrose or 1% sucrose. After 48 h, the biofilm was collected by placing each specimen in an Eppendorf tube (containing 1 mL sterile saline), sonicated at 30 W for 10 seconds, and vortexed immediately for 10 seconds to completely detach biofilm from the enamel surface.", " Surface microhardness change (VHNchange) Post-treatment surface microhardness was measured following the same protocol used for the VHNsound. Three indentations were made at approximately 100 µm next to the baseline VHNsound indentations. VHNchange values were calculated using the formula VHNchange=100×(VHNsound−VHNpost)/VHNsound.\nPost-treatment surface microhardness was measured following the same protocol used for the VHNsound. Three indentations were made at approximately 100 µm next to the baseline VHNsound indentations. VHNchange values were calculated using the formula VHNchange=100×(VHNsound−VHNpost)/VHNsound.\n Transverse microradiography One section, approximately 100 µm thick, was cut from the center of each specimen and across the specimen using a Silverstone-Taylor Hard Tissue Microtome (Scientific Fabrications Laboratories, USA). All sections were placed in the TMR-D1 v.5.0.0.1 system and X-rayed at 45 kV and 45 mA at a fixed distance of 12 s. An aluminum step wedge was X-rayed under identical conditions. Digital images were analyzed using the TMR software v.3.0.0.18. Sound enamel was assumed to be 87% v/v mineral. The data obtained from this analysis were integrated mineral loss (∆Z; %vol.μm) and lesion depth (L; μm).\nOne section, approximately 100 µm thick, was cut from the center of each specimen and across the specimen using a Silverstone-Taylor Hard Tissue Microtome (Scientific Fabrications Laboratories, USA). All sections were placed in the TMR-D1 v.5.0.0.1 system and X-rayed at 45 kV and 45 mA at a fixed distance of 12 s. An aluminum step wedge was X-rayed under identical conditions. Digital images were analyzed using the TMR software v.3.0.0.18. Sound enamel was assumed to be 87% v/v mineral. The data obtained from this analysis were integrated mineral loss (∆Z; %vol.μm) and lesion depth (L; μm).", "Post-treatment surface microhardness was measured following the same protocol used for the VHNsound. Three indentations were made at approximately 100 µm next to the baseline VHNsound indentations. VHNchange values were calculated using the formula VHNchange=100×(VHNsound−VHNpost)/VHNsound.", "One section, approximately 100 µm thick, was cut from the center of each specimen and across the specimen using a Silverstone-Taylor Hard Tissue Microtome (Scientific Fabrications Laboratories, USA). All sections were placed in the TMR-D1 v.5.0.0.1 system and X-rayed at 45 kV and 45 mA at a fixed distance of 12 s. An aluminum step wedge was X-rayed under identical conditions. Digital images were analyzed using the TMR software v.3.0.0.18. Sound enamel was assumed to be 87% v/v mineral. The data obtained from this analysis were integrated mineral loss (∆Z; %vol.μm) and lesion depth (L; μm).", "All three variables (VHNchange, ∆Z, L) were analyzed using two-way ANOVA, with factors for sucrose concentration and surface conditioning as well as the interaction between them. All pair-wise comparisons from ANOVA analysis were made using Fisher’s Protected Least Significant Differences to control the overall significance level at 5%. Statistical analysis was performed using SAS version 9.4 (SAS Institute, Inc., Cary, NC)." ]
[ null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Introduction", "Methodology", "Specimen preparation", "Baseline measurement and experimental groups", "Salivary bacterial model", "Biofilm model", "Saliva collection", "Saliva pasteurization", "Surface conditioning", "Biofilm growth", "Post-treatment analyses", "Surface microhardness change (VHNchange)", "Transverse microradiography", "Statistical analysis", "Results", "Discussion", "Conclusion" ]
[ "Dental caries is a multifactorial disease, in which acid–producing bacteria, dietary carbohydrates, time, and a susceptible host contribute to the disease initiation and progression.1 The process starts when oral bacteria, present in an equilibrium state, ferment carbohydrates; this equilibrium shifts to increased populations of acidogenic (acid–producing) and aciduric (acid–tolerant) bacteria.1 The consistent presence of acid in the environment disrupts the mineral equilibrium of the exposed dental structures (i.e. enamel and/or dentin), and, therefore, leads to carious lesions.1,2\nDental biofilm has been defined as “matrix–enclosed microbial communities in which cells adhere to each other and/or to surfaces or interfaces.”3 Over 700 bacterial species are present in the oral cavity.4 They are in all oral hard and soft tissue structures. These bacterial aggregations usually produce and become enclosed in extracellular polymeric substance (EPS). The formation of dental biofilm (or dental plaque) consists of several steps, which start with the formation of the acquired pellicle, followed by the initial adhesion of planktonic bacteria to the pellicle layer by binding sites, subsequent maturation of the bacterial biofilm, and, finally, the dispersion of biofilm with detachment of cells/clusters of cells.5\nThe formation of the acquired pellicle is the first step in dental biofilm formation, and it is a unique step distinguishing it from other biofilm types.5 It consists of several interactions between various salivary glycoproteins, and their interaction with the tooth surface. These biochemical interactions are based on Gibbs law of free enthalpy5,6; they lead to the attachment of salivary glycoproteins to a surface (i.e. the enamel). The resulting formed layer is a protein–rich layer with binding sites; these sites are ready for early colonizers to attach.6\nBased on this unique process, some studies suggested a new intervention to prevent biofilm formation: this intervention is in the form of preventing pellicle formation.7 Many microbial studies have explored and studied dental biofilm from many aspects using different cariogenic models.8-11 However, they omitted the step of surface conditioning by the formation of acquired pellicle. This leads to less clinical relevance, especially for this area of study (the significance of including the pellicle) has not been researched previously.\nAcquired enamel pellicle (AEP) has been explored previously for its composition and function.12-16 Studies have explored pellicles and found differences between AEP formed in vitro, in vivo, and in situ. These studies have reported ultrastructural variations, intrinsic and extrinsic maturation variations, as well as variation in the AEP morphology. Studies have found that in vitro AEP were superior to in vivo, which contain higher amounts of proteins. They are also superior in the overall amounts produced (due to the difficulty in collecting in vivo AEP).12-16\nIn in vitro studies, the salivary pellicle can typically form before exposure to bacteria–containing media, resulting in biofilm formation. Several methods have been used to form a salivary pellicle.17-19 In general, the dental surface is exposed to saliva (sterilized, free from bacteria) for a specific amount of time (ranges from minutes to several hours) before being exposed to oral bacteria for biofilm formation.17-19 The significance of surface conditioning before biofilm growth (to allow the formation of acquired enamel pellicle) in studying biofilm models was not evaluated previously and, therefore, needs to be explored. Hence, this study aims to explore the influence of salivary conditioning before biofilm formation on enamel demineralization.\nThe hypothesis was: 1) a significant difference between filtered/pasteurized saliva, filtered saliva, and deionized water (DIW; negative control) as conditioning agents on biofilm–mediated enamel demineralization; and 2) a significant difference between 0.5% and 1% sucrose–supplemented growth media on enamel demineralization.", " Specimen preparation Extracted bovine incisors were sectioned to obtain 5×5 mm enamel specimens using a Buehler IsometTM low-speed saw (Buehler, Ltd., Lake Bluff, IL, USA). Approximately 54 teeth were used to obtain 54 specimens. During preparation, the teeth were stored in deionized water with thymol. Using a Struers Rotopol 31/RotoForce 4 polishing unit (Struers Inc., Cleveland, PA, USA), all specimens were ground and polished to ensure flat parallel dentin/enamel surfaces. For the finishing process, the dentin side was ground using 500–grit silicon carbide grinding paper. Then, the enamel side was serially ground using 1,200, 2,400 and 4,000 grit papers. After that, specimens were polished using a 1–µm diamond polishing suspension on a polishing cloth to obtain a 5×5 mm polished enamel surface. All specimens were examined for cracks, white spots, or any other flaws that could exclude the specimen from the study, using Nikon SMZ 1500 stereomicroscope at ×20 magnification.\nExtracted bovine incisors were sectioned to obtain 5×5 mm enamel specimens using a Buehler IsometTM low-speed saw (Buehler, Ltd., Lake Bluff, IL, USA). Approximately 54 teeth were used to obtain 54 specimens. During preparation, the teeth were stored in deionized water with thymol. Using a Struers Rotopol 31/RotoForce 4 polishing unit (Struers Inc., Cleveland, PA, USA), all specimens were ground and polished to ensure flat parallel dentin/enamel surfaces. For the finishing process, the dentin side was ground using 500–grit silicon carbide grinding paper. Then, the enamel side was serially ground using 1,200, 2,400 and 4,000 grit papers. After that, specimens were polished using a 1–µm diamond polishing suspension on a polishing cloth to obtain a 5×5 mm polished enamel surface. All specimens were examined for cracks, white spots, or any other flaws that could exclude the specimen from the study, using Nikon SMZ 1500 stereomicroscope at ×20 magnification.\n Baseline measurement and experimental groups All specimens were subjected to enamel surface microhardness test (VHNsound) to ensure standardization. A Vickers diamond identifier (Tukon 2100; Wilson-Instron, Norwood, MA, USA) was used with a load of 200 g for 15 s. Three indentations, approximately 100 µm apart, were placed on each specimen and averaged; the inclusion range was VHNsound between 300-380. Specimens were divided into two groups, based on the sucrose concentration to which the biofilm/enamel surface was subjected (0.5% and 1% sucrose concentrations). Each group was divided further into three subgroups (n=9/subgroup), according to the nature of the salivary conditioning to the enamel surface before biofilm formation. The three conditions tested were: filtered/pasteurized saliva; filtered saliva; and deionized water (DIW; negative control).\nAll specimens were subjected to enamel surface microhardness test (VHNsound) to ensure standardization. A Vickers diamond identifier (Tukon 2100; Wilson-Instron, Norwood, MA, USA) was used with a load of 200 g for 15 s. Three indentations, approximately 100 µm apart, were placed on each specimen and averaged; the inclusion range was VHNsound between 300-380. Specimens were divided into two groups, based on the sucrose concentration to which the biofilm/enamel surface was subjected (0.5% and 1% sucrose concentrations). Each group was divided further into three subgroups (n=9/subgroup), according to the nature of the salivary conditioning to the enamel surface before biofilm formation. The three conditions tested were: filtered/pasteurized saliva; filtered saliva; and deionized water (DIW; negative control).\n Salivary bacterial model Biofilm model After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21\nAfter completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21\n Saliva collection Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below.\nEthical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below.\n Saliva pasteurization The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use.\nThe collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use.\n Biofilm model After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21\nAfter completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21\n Saliva collection Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below.\nEthical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below.\n Saliva pasteurization The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use.\nThe collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use.", "Extracted bovine incisors were sectioned to obtain 5×5 mm enamel specimens using a Buehler IsometTM low-speed saw (Buehler, Ltd., Lake Bluff, IL, USA). Approximately 54 teeth were used to obtain 54 specimens. During preparation, the teeth were stored in deionized water with thymol. Using a Struers Rotopol 31/RotoForce 4 polishing unit (Struers Inc., Cleveland, PA, USA), all specimens were ground and polished to ensure flat parallel dentin/enamel surfaces. For the finishing process, the dentin side was ground using 500–grit silicon carbide grinding paper. Then, the enamel side was serially ground using 1,200, 2,400 and 4,000 grit papers. After that, specimens were polished using a 1–µm diamond polishing suspension on a polishing cloth to obtain a 5×5 mm polished enamel surface. All specimens were examined for cracks, white spots, or any other flaws that could exclude the specimen from the study, using Nikon SMZ 1500 stereomicroscope at ×20 magnification.", "All specimens were subjected to enamel surface microhardness test (VHNsound) to ensure standardization. A Vickers diamond identifier (Tukon 2100; Wilson-Instron, Norwood, MA, USA) was used with a load of 200 g for 15 s. Three indentations, approximately 100 µm apart, were placed on each specimen and averaged; the inclusion range was VHNsound between 300-380. Specimens were divided into two groups, based on the sucrose concentration to which the biofilm/enamel surface was subjected (0.5% and 1% sucrose concentrations). Each group was divided further into three subgroups (n=9/subgroup), according to the nature of the salivary conditioning to the enamel surface before biofilm formation. The three conditions tested were: filtered/pasteurized saliva; filtered saliva; and deionized water (DIW; negative control).", " Biofilm model After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21\nAfter completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21\n Saliva collection Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below.\nEthical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below.\n Saliva pasteurization The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use.\nThe collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use.", "After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21", "Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below.", "The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use.", "All specimens were immersed in their corresponding solutions: filtered/pasteurized saliva, filtered saliva, or DIW as negative control. Specimens were incubated in their respective solution at 5% CO2 and 37ºC for 5 minutes to allow surface conditioning.", "Immediately after surface conditioning, specimens were transferred to a new, sterile 6–well plate containing growth culture media that was inoculated with the overnight bacterial culture (without washing the samples between the two steps). Microcosm biofilm was grown under anaerobic conditions at 37°C for 48 h. The growth media used to grow the biofilm was Brain Heart Infusion (BHI) broth, supplemented with 5 g/L yeast extract, 5% vitamin K and hemin (v/v) and supplemented with either 0.5% sucrose or 1% sucrose. After 48 h, the biofilm was collected by placing each specimen in an Eppendorf tube (containing 1 mL sterile saline), sonicated at 30 W for 10 seconds, and vortexed immediately for 10 seconds to completely detach biofilm from the enamel surface.", " Surface microhardness change (VHNchange) Post-treatment surface microhardness was measured following the same protocol used for the VHNsound. Three indentations were made at approximately 100 µm next to the baseline VHNsound indentations. VHNchange values were calculated using the formula VHNchange=100×(VHNsound−VHNpost)/VHNsound.\nPost-treatment surface microhardness was measured following the same protocol used for the VHNsound. Three indentations were made at approximately 100 µm next to the baseline VHNsound indentations. VHNchange values were calculated using the formula VHNchange=100×(VHNsound−VHNpost)/VHNsound.\n Transverse microradiography One section, approximately 100 µm thick, was cut from the center of each specimen and across the specimen using a Silverstone-Taylor Hard Tissue Microtome (Scientific Fabrications Laboratories, USA). All sections were placed in the TMR-D1 v.5.0.0.1 system and X-rayed at 45 kV and 45 mA at a fixed distance of 12 s. An aluminum step wedge was X-rayed under identical conditions. Digital images were analyzed using the TMR software v.3.0.0.18. Sound enamel was assumed to be 87% v/v mineral. The data obtained from this analysis were integrated mineral loss (∆Z; %vol.μm) and lesion depth (L; μm).\nOne section, approximately 100 µm thick, was cut from the center of each specimen and across the specimen using a Silverstone-Taylor Hard Tissue Microtome (Scientific Fabrications Laboratories, USA). All sections were placed in the TMR-D1 v.5.0.0.1 system and X-rayed at 45 kV and 45 mA at a fixed distance of 12 s. An aluminum step wedge was X-rayed under identical conditions. Digital images were analyzed using the TMR software v.3.0.0.18. Sound enamel was assumed to be 87% v/v mineral. The data obtained from this analysis were integrated mineral loss (∆Z; %vol.μm) and lesion depth (L; μm).", "Post-treatment surface microhardness was measured following the same protocol used for the VHNsound. Three indentations were made at approximately 100 µm next to the baseline VHNsound indentations. VHNchange values were calculated using the formula VHNchange=100×(VHNsound−VHNpost)/VHNsound.", "One section, approximately 100 µm thick, was cut from the center of each specimen and across the specimen using a Silverstone-Taylor Hard Tissue Microtome (Scientific Fabrications Laboratories, USA). All sections were placed in the TMR-D1 v.5.0.0.1 system and X-rayed at 45 kV and 45 mA at a fixed distance of 12 s. An aluminum step wedge was X-rayed under identical conditions. Digital images were analyzed using the TMR software v.3.0.0.18. Sound enamel was assumed to be 87% v/v mineral. The data obtained from this analysis were integrated mineral loss (∆Z; %vol.μm) and lesion depth (L; μm).", "All three variables (VHNchange, ∆Z, L) were analyzed using two-way ANOVA, with factors for sucrose concentration and surface conditioning as well as the interaction between them. All pair-wise comparisons from ANOVA analysis were made using Fisher’s Protected Least Significant Differences to control the overall significance level at 5%. Statistical analysis was performed using SAS version 9.4 (SAS Institute, Inc., Cary, NC).", "The two-way interaction sucrose concentration × surface conditioning was not significant for VHNchange (p=0.872), ∆Z (p=0.662) or L (p=0.436). Surface conditioning affected VHNchange significantly (p=0.0079); however, it did not affect ∆Z (p=0.7383) or L (p=0.7323). Sucrose concentration impacted ∆Z (p<0.0001) and L (p<0.0001); however, it did not affect VHNchange (p=0.2877). Table 1 shows the data for all measured variables for each subgroup.\nThe VHNchange pairwise multiple comparison analyses indicated that the pellicle type created a significant difference between groups. In both sucrose concentrations, surface conditioning with filtered/pasteurized saliva resulted in the lowest VHNchange values, when compared with other surface conditioning groups. The difference between filtered/pasteurized subgroups and the two other surface conditionings was significant (filtered/pasteurized and filtered saliva subgroups p=0.006; filtered/pasteurized and DIW subgroups p=0.0075), while difference was insignificant between filtered saliva and DIW subgroups (p= 0.9312) (Table 1).\nFor the ∆Z values, the pairwise comparisons indicated a statistically significant difference only between 0.5% and 1% sucrose concentration (p<0.0001), and not based on the surface conditioning status. Growing the biofilm in 1% sucrose always resulted in lesions with higher ∆Z values, indicating more severe lesions.\nSimilarly, the pairwise comparisons for L values indicated a statistically significant difference between 0.5% and 1% sucrose (p<0.0001). Also, the L values were always higher in 1% incubation conditions, which means more severe carious lesions (Table 1).", "This study aimed to evaluate the influence of surface conditioning using human saliva before biofilm formation in vitro on enamel demineralization. The statistical analysis results showed the hardness data were only affected by pellicle type, whereas the TMR data were only affected by sucrose concentration. To fully understand this contradiction, one should consider the differences between the variables studied.\nSurface microhardness is a measurement of how a material responds to deformation. It is mainly influenced by surface integrity and rather than by structural characteristics or mineral content of the bulk substrate. One of the pellicle functions in the oral cavity is its masking effect: it coats dental surfaces and other structures, which may lead to different patterns of bacterial biofilm formation according to the presence/absence or the quality of the pellicle.23-25 The presence or absence of a pellicle layer, therefore, will affect surface characteristics, and this may explain the significant differences between pellicle subgroups in our study. On the other hand, TMR measures are based on mineral content rather than structure. Therefore, the expectation is to observe differences only when carious lesions with different mineral contents and/or distributions form during demineralization.26\nSurface microhardness testing is straightforward and nondestructive. In some studies, it is coupled with transverse microradiography based on their objective. The minerals loss within the outer enamel was found to be proportional with the degree of the indenter penetration. However, deeper lesions cannot be quantitatively measured using surface microhardness.27 Moreover, surface microhardness is most effective in analyzing homogenous materials and shallow lesions only (e.g. enamel outer surface).28 White28 (1987) reported, in a study in which they evaluated the differences between surface microhardness and microradiography, that surface microhardness could detect remineralization in early lesions (or at least hardening of the surface without remineralization).28 Evaluating mineral content within the outermost layers of the enamel using microradiography is difficult. Therefore, the two analyses are usually considered complementary to each other in demineralization/remineralization studies.28\nIn this study, an active attachment model adopted from a previously published model was used.1,20 Despite still lacking more complex features that lead to more clinical relevance (e.g. pulsation of nutrients into the environment),29 an active attachment has the advantage of ensuring that the bacterial layers formed over the surface are not just sedimented cells, but rather attached to the enamel surface and to each other.20\nA salivary bacterial mix was used to create a largely undefined microcosm biofilm. Before bacterial inoculation, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars. The results confirmed the presence of both species. In vitro studies use various approaches with biofilms formed from monospecies (such as Streptococcus mutans or Lactobacilli),20,30 two or multiple species (3–10 species),1,31 or a microcosm biofilm.32,33 While single or multiple, defined species allow for greater control, employing a microcosm biofilm can result in greater clinical relevance. The acquired pellicle can be formed from saliva or plaque samples collected and pooled from single and/or multiple donors.21 This study used an approach based on conclusions drawn from previous studies.21,32 Some studies limited their salivary (or plaque) mix to be collected from a single donor,33 other studies collected samples from two or more donors.34 In this study, wax–stimulated saliva samples from three donors were pooled, thereby increasing the translational value of the findings.\nOne could suggest that using a microcosm biofilm source may result in large variability. However, the variability of biofilm characteristics in in vitro studies was explored previously,21 and most studies33-35 concluded that collection of saliva samples from the same donor at different times does not affect biofilm diversity. Moreover, the involvement of sucrose over time can lead to a dominance of certain bacterial strains (mainly cariogenic bacteria), thus overcoming initial differences between different samples (either from different donors or collected at different times from the same donor).21\nThe formation of acquired pellicle in in vitro studies can be conducted by exposing the surface of interest to sterile saliva solution for a certain period. Although including salivary pellicle in the model seems to be more clinically relevant, this step requires an expensive and time–consuming saliva sterilization (to ensure a bacterium–free solution that still contains salivary glycoproteins). Pasteurization was the method chosen to sterilize the diluted, pooled saliva samples.22 Although the samples were exposed to 60ºC for 30 minutes, this method still preserved salivary glycoproteins, as the heat needed for irreversible protein denaturation is at least 80ºC.\nIt was documented previously that the time required to form the pellicle in vitro ranges from 3 minutes to 7 days. The same studies reported minor relevance of pellicle maturation (i.e., aging).36-38 Based on that, the choice was to incubate the enamel samples in three surface conditioning media types for 5 minutes in this study. Exposing enamel surface in vitro to 1:10 diluted saliva for 5 minutes is still expected to maintain clinical relevance; the longer exposure to glycoproteins overcomes the dilution factor.\nThe second variable explored was sucrose concentration. Carbohydrate concentration within the growth media has been reported to impact the biofilm composition.39 Consequently, the biofilm cariogenicity may also be affected. As mentioned before, acquired pellicle formation is an integral step that precedes bacterial attachment to dental and oral surfaces. The formation of acquired pellicle generally consists of two stages.40 The first stage is very rapid and includes adsorption of salivary glycoproteins to the substrate. However, the second stage occurs immediately after the first stage in vivo.40 It is characterized by more adsorption of biomolecules, being the oral fluids the source of these biomolecules.40 Therefore, two different conditions of sources for the salivary pellicle (filtered/pasteurized and filtered saliva) were included in this study to represent these two stages and explore their influence in the pattern of demineralization. Although salivary pellicle formed from filtered/pasteurized saliva (which becomes free of viable bacteria) makes the in vitro study more controllable and the model more applicable if used in studies involving single/multiple species biofilm, using filtered saliva ensures more clinical relevance as the only eliminated element is food debris.\nThis study focused mainly on pellicle involvement in in vitro microbial studies, and on the influence of this factor on the hard tissue substrate characteristics. It did not test the influence of the presence of acquired pellicle on the cariogenicity of a microcosm biofilm. This can be tested in a similar study by collecting 48–hour biofilm and analyzing cariogenicity (e.g., lactic acid production). The bacterial source (i.e., saliva vs. plaque samples) may also be tested, since it was already reported that biofilms formed from saliva vs. plaque have different characteristics.21 Furthermore, different incubation times may affect pellicle formation and maturation. Lastly, pellicle formation can also be achieved by exposing specimens to the oral cavity for different periods of time, which provides material for future research. Lastly, all the variables tested may be evaluated in a prolonged study (more than 48 h) to observe the lesion characteristics, especially TMR data.", "Considering the limitations of this study, the presence or absence of an artificially induced acquired pellicle layer does not influence biofilm–mediated enamel caries lesion formation as measured by TMR. Some differences were observed using surface microhardness, indicating a complex interaction between pellicle proteins and biofilm–mediated demineralization of the enamel surface.\n\nTable 1Percentage surface microhardness (VHNchange), mineral loss (∆Z; %volmin.μm), and lesion depth (L; μm) data (mean ± standard deviation) for all treatment groupsSurface ConditioningSucrose Concen- trationVHNchange∆ZL Filtered/ Pasteurized SalivaFiltered SalivaControl (DIW)Filtered/ Pasteurized SalivaFiltered SalivaControl (DIW)Filtered/ Pasteurized SalivaFiltered SalivaControl (DIW)0.5%32.7a, A51.5b, A48b, A820a, A1257a, A867a, A38.8a, A47.8a, A37.3a, A ±20.7 ±18.4 ±17.1 ±266 ±406 ±338 ±9 ±9.6 ±14.2 1%24.8a, A43.9b, A46.2b, A2623a, B2505a, B2428a, B78.4a, B73.3a, B74.6a, B ±22.4 ±21 ±18.8 ±1014 ±1480 ±1208 ±17.5 ±26.7 ±20.6 Upper case letters indicate statistically significant differences between surface conditioning methods within sucrose concentrationsLower case letters indicate statistically significant differences between sucrose concentrations within surface conditioning methods\n\nUpper case letters indicate statistically significant differences between surface conditioning methods within sucrose concentrations\nLower case letters indicate statistically significant differences between sucrose concentrations within surface conditioning methods" ]
[ "intro", "methods", null, null, null, null, null, null, null, null, null, null, null, null, "results", "discussion", "conclusions" ]
[ "Dental caries", "Biofilms", "Salivary pellicle", "Saliva" ]
Introduction: Dental caries is a multifactorial disease, in which acid–producing bacteria, dietary carbohydrates, time, and a susceptible host contribute to the disease initiation and progression.1 The process starts when oral bacteria, present in an equilibrium state, ferment carbohydrates; this equilibrium shifts to increased populations of acidogenic (acid–producing) and aciduric (acid–tolerant) bacteria.1 The consistent presence of acid in the environment disrupts the mineral equilibrium of the exposed dental structures (i.e. enamel and/or dentin), and, therefore, leads to carious lesions.1,2 Dental biofilm has been defined as “matrix–enclosed microbial communities in which cells adhere to each other and/or to surfaces or interfaces.”3 Over 700 bacterial species are present in the oral cavity.4 They are in all oral hard and soft tissue structures. These bacterial aggregations usually produce and become enclosed in extracellular polymeric substance (EPS). The formation of dental biofilm (or dental plaque) consists of several steps, which start with the formation of the acquired pellicle, followed by the initial adhesion of planktonic bacteria to the pellicle layer by binding sites, subsequent maturation of the bacterial biofilm, and, finally, the dispersion of biofilm with detachment of cells/clusters of cells.5 The formation of the acquired pellicle is the first step in dental biofilm formation, and it is a unique step distinguishing it from other biofilm types.5 It consists of several interactions between various salivary glycoproteins, and their interaction with the tooth surface. These biochemical interactions are based on Gibbs law of free enthalpy5,6; they lead to the attachment of salivary glycoproteins to a surface (i.e. the enamel). The resulting formed layer is a protein–rich layer with binding sites; these sites are ready for early colonizers to attach.6 Based on this unique process, some studies suggested a new intervention to prevent biofilm formation: this intervention is in the form of preventing pellicle formation.7 Many microbial studies have explored and studied dental biofilm from many aspects using different cariogenic models.8-11 However, they omitted the step of surface conditioning by the formation of acquired pellicle. This leads to less clinical relevance, especially for this area of study (the significance of including the pellicle) has not been researched previously. Acquired enamel pellicle (AEP) has been explored previously for its composition and function.12-16 Studies have explored pellicles and found differences between AEP formed in vitro, in vivo, and in situ. These studies have reported ultrastructural variations, intrinsic and extrinsic maturation variations, as well as variation in the AEP morphology. Studies have found that in vitro AEP were superior to in vivo, which contain higher amounts of proteins. They are also superior in the overall amounts produced (due to the difficulty in collecting in vivo AEP).12-16 In in vitro studies, the salivary pellicle can typically form before exposure to bacteria–containing media, resulting in biofilm formation. Several methods have been used to form a salivary pellicle.17-19 In general, the dental surface is exposed to saliva (sterilized, free from bacteria) for a specific amount of time (ranges from minutes to several hours) before being exposed to oral bacteria for biofilm formation.17-19 The significance of surface conditioning before biofilm growth (to allow the formation of acquired enamel pellicle) in studying biofilm models was not evaluated previously and, therefore, needs to be explored. Hence, this study aims to explore the influence of salivary conditioning before biofilm formation on enamel demineralization. The hypothesis was: 1) a significant difference between filtered/pasteurized saliva, filtered saliva, and deionized water (DIW; negative control) as conditioning agents on biofilm–mediated enamel demineralization; and 2) a significant difference between 0.5% and 1% sucrose–supplemented growth media on enamel demineralization. Methodology: Specimen preparation Extracted bovine incisors were sectioned to obtain 5×5 mm enamel specimens using a Buehler IsometTM low-speed saw (Buehler, Ltd., Lake Bluff, IL, USA). Approximately 54 teeth were used to obtain 54 specimens. During preparation, the teeth were stored in deionized water with thymol. Using a Struers Rotopol 31/RotoForce 4 polishing unit (Struers Inc., Cleveland, PA, USA), all specimens were ground and polished to ensure flat parallel dentin/enamel surfaces. For the finishing process, the dentin side was ground using 500–grit silicon carbide grinding paper. Then, the enamel side was serially ground using 1,200, 2,400 and 4,000 grit papers. After that, specimens were polished using a 1–µm diamond polishing suspension on a polishing cloth to obtain a 5×5 mm polished enamel surface. All specimens were examined for cracks, white spots, or any other flaws that could exclude the specimen from the study, using Nikon SMZ 1500 stereomicroscope at ×20 magnification. Extracted bovine incisors were sectioned to obtain 5×5 mm enamel specimens using a Buehler IsometTM low-speed saw (Buehler, Ltd., Lake Bluff, IL, USA). Approximately 54 teeth were used to obtain 54 specimens. During preparation, the teeth were stored in deionized water with thymol. Using a Struers Rotopol 31/RotoForce 4 polishing unit (Struers Inc., Cleveland, PA, USA), all specimens were ground and polished to ensure flat parallel dentin/enamel surfaces. For the finishing process, the dentin side was ground using 500–grit silicon carbide grinding paper. Then, the enamel side was serially ground using 1,200, 2,400 and 4,000 grit papers. After that, specimens were polished using a 1–µm diamond polishing suspension on a polishing cloth to obtain a 5×5 mm polished enamel surface. All specimens were examined for cracks, white spots, or any other flaws that could exclude the specimen from the study, using Nikon SMZ 1500 stereomicroscope at ×20 magnification. Baseline measurement and experimental groups All specimens were subjected to enamel surface microhardness test (VHNsound) to ensure standardization. A Vickers diamond identifier (Tukon 2100; Wilson-Instron, Norwood, MA, USA) was used with a load of 200 g for 15 s. Three indentations, approximately 100 µm apart, were placed on each specimen and averaged; the inclusion range was VHNsound between 300-380. Specimens were divided into two groups, based on the sucrose concentration to which the biofilm/enamel surface was subjected (0.5% and 1% sucrose concentrations). Each group was divided further into three subgroups (n=9/subgroup), according to the nature of the salivary conditioning to the enamel surface before biofilm formation. The three conditions tested were: filtered/pasteurized saliva; filtered saliva; and deionized water (DIW; negative control). All specimens were subjected to enamel surface microhardness test (VHNsound) to ensure standardization. A Vickers diamond identifier (Tukon 2100; Wilson-Instron, Norwood, MA, USA) was used with a load of 200 g for 15 s. Three indentations, approximately 100 µm apart, were placed on each specimen and averaged; the inclusion range was VHNsound between 300-380. Specimens were divided into two groups, based on the sucrose concentration to which the biofilm/enamel surface was subjected (0.5% and 1% sucrose concentrations). Each group was divided further into three subgroups (n=9/subgroup), according to the nature of the salivary conditioning to the enamel surface before biofilm formation. The three conditions tested were: filtered/pasteurized saliva; filtered saliva; and deionized water (DIW; negative control). Salivary bacterial model Biofilm model After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21 After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21 Saliva collection Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below. Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below. Saliva pasteurization The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use. The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use. Biofilm model After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21 After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21 Saliva collection Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below. Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below. Saliva pasteurization The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use. The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use. Specimen preparation: Extracted bovine incisors were sectioned to obtain 5×5 mm enamel specimens using a Buehler IsometTM low-speed saw (Buehler, Ltd., Lake Bluff, IL, USA). Approximately 54 teeth were used to obtain 54 specimens. During preparation, the teeth were stored in deionized water with thymol. Using a Struers Rotopol 31/RotoForce 4 polishing unit (Struers Inc., Cleveland, PA, USA), all specimens were ground and polished to ensure flat parallel dentin/enamel surfaces. For the finishing process, the dentin side was ground using 500–grit silicon carbide grinding paper. Then, the enamel side was serially ground using 1,200, 2,400 and 4,000 grit papers. After that, specimens were polished using a 1–µm diamond polishing suspension on a polishing cloth to obtain a 5×5 mm polished enamel surface. All specimens were examined for cracks, white spots, or any other flaws that could exclude the specimen from the study, using Nikon SMZ 1500 stereomicroscope at ×20 magnification. Baseline measurement and experimental groups: All specimens were subjected to enamel surface microhardness test (VHNsound) to ensure standardization. A Vickers diamond identifier (Tukon 2100; Wilson-Instron, Norwood, MA, USA) was used with a load of 200 g for 15 s. Three indentations, approximately 100 µm apart, were placed on each specimen and averaged; the inclusion range was VHNsound between 300-380. Specimens were divided into two groups, based on the sucrose concentration to which the biofilm/enamel surface was subjected (0.5% and 1% sucrose concentrations). Each group was divided further into three subgroups (n=9/subgroup), according to the nature of the salivary conditioning to the enamel surface before biofilm formation. The three conditions tested were: filtered/pasteurized saliva; filtered saliva; and deionized water (DIW; negative control). Salivary bacterial model: Biofilm model After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21 After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21 Saliva collection Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below. Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below. Saliva pasteurization The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use. The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use. Biofilm model: After completing specimen preparation, specimens were mounted on the inside of a lid of a 6–well plate (FisherBrand, Fisher Scientific), with three specimens per well, using acrylic cubes to create an active attachment model and following a previously described protocol.1,20 The model was disinfected using 70% ethanol prior to bacterial and/or pellicle inoculation.21 Saliva collection: Ethical approval was obtained from the Indiana University (IUPUI) institutional review board (IRB #1406440799) for saliva collection. Wax–stimulated saliva samples from three adult donors were collected and pooled (approx. 50 mL/donor). The inclusion criterion considered healthy participants (no systemic diseases) with normal salivary flow and absence of active caries or periodontal disease. To ensure standardization, participants refrained from oral hygiene measures overnight. Before bacterial inoculation or freezing, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars (MSSB and Rogosa agars, respectively). The results confirmed the presence of both species. A total of 5 mL of the pooled saliva and growth media mix (1:10 ratio) were incubated anaerobically overnight, then mixed with 10% glycerol and frozen immediately at −80ºC. This microcosm bacterial mix was used as the source for bacterial inoculum. The remaining pooled saliva was pasteurized as described below. Saliva pasteurization: The collected, pooled saliva was diluted in sterile saline at 1:10 dilution. The diluted solution was filtered using Whatman filter paper to remove large debris. This filtered saliva was used to create the salivary pellicle in subgroups exposed to filtered saliva. For pasteurization, an additional sterilization step, pasteurization, was performed with the remaining filtered saliva, using a previously published protocol.22 Briefly, after the diluted solution first filtration, it was centrifuged to remove mucin and bacteria (10 minutes, 4ºC, 27,000× g). The supernatant was retained and pasteurized at 60ºC for 30 minutes, then recentrifuged for 10 minutes. The prepared saliva was stored in aliquots of 50 mL and frozen at −80°C for further use. Surface conditioning: All specimens were immersed in their corresponding solutions: filtered/pasteurized saliva, filtered saliva, or DIW as negative control. Specimens were incubated in their respective solution at 5% CO2 and 37ºC for 5 minutes to allow surface conditioning. Biofilm growth: Immediately after surface conditioning, specimens were transferred to a new, sterile 6–well plate containing growth culture media that was inoculated with the overnight bacterial culture (without washing the samples between the two steps). Microcosm biofilm was grown under anaerobic conditions at 37°C for 48 h. The growth media used to grow the biofilm was Brain Heart Infusion (BHI) broth, supplemented with 5 g/L yeast extract, 5% vitamin K and hemin (v/v) and supplemented with either 0.5% sucrose or 1% sucrose. After 48 h, the biofilm was collected by placing each specimen in an Eppendorf tube (containing 1 mL sterile saline), sonicated at 30 W for 10 seconds, and vortexed immediately for 10 seconds to completely detach biofilm from the enamel surface. Post-treatment analyses: Surface microhardness change (VHNchange) Post-treatment surface microhardness was measured following the same protocol used for the VHNsound. Three indentations were made at approximately 100 µm next to the baseline VHNsound indentations. VHNchange values were calculated using the formula VHNchange=100×(VHNsound−VHNpost)/VHNsound. Post-treatment surface microhardness was measured following the same protocol used for the VHNsound. Three indentations were made at approximately 100 µm next to the baseline VHNsound indentations. VHNchange values were calculated using the formula VHNchange=100×(VHNsound−VHNpost)/VHNsound. Transverse microradiography One section, approximately 100 µm thick, was cut from the center of each specimen and across the specimen using a Silverstone-Taylor Hard Tissue Microtome (Scientific Fabrications Laboratories, USA). All sections were placed in the TMR-D1 v.5.0.0.1 system and X-rayed at 45 kV and 45 mA at a fixed distance of 12 s. An aluminum step wedge was X-rayed under identical conditions. Digital images were analyzed using the TMR software v.3.0.0.18. Sound enamel was assumed to be 87% v/v mineral. The data obtained from this analysis were integrated mineral loss (∆Z; %vol.μm) and lesion depth (L; μm). One section, approximately 100 µm thick, was cut from the center of each specimen and across the specimen using a Silverstone-Taylor Hard Tissue Microtome (Scientific Fabrications Laboratories, USA). All sections were placed in the TMR-D1 v.5.0.0.1 system and X-rayed at 45 kV and 45 mA at a fixed distance of 12 s. An aluminum step wedge was X-rayed under identical conditions. Digital images were analyzed using the TMR software v.3.0.0.18. Sound enamel was assumed to be 87% v/v mineral. The data obtained from this analysis were integrated mineral loss (∆Z; %vol.μm) and lesion depth (L; μm). Surface microhardness change (VHNchange): Post-treatment surface microhardness was measured following the same protocol used for the VHNsound. Three indentations were made at approximately 100 µm next to the baseline VHNsound indentations. VHNchange values were calculated using the formula VHNchange=100×(VHNsound−VHNpost)/VHNsound. Transverse microradiography: One section, approximately 100 µm thick, was cut from the center of each specimen and across the specimen using a Silverstone-Taylor Hard Tissue Microtome (Scientific Fabrications Laboratories, USA). All sections were placed in the TMR-D1 v.5.0.0.1 system and X-rayed at 45 kV and 45 mA at a fixed distance of 12 s. An aluminum step wedge was X-rayed under identical conditions. Digital images were analyzed using the TMR software v.3.0.0.18. Sound enamel was assumed to be 87% v/v mineral. The data obtained from this analysis were integrated mineral loss (∆Z; %vol.μm) and lesion depth (L; μm). Statistical analysis: All three variables (VHNchange, ∆Z, L) were analyzed using two-way ANOVA, with factors for sucrose concentration and surface conditioning as well as the interaction between them. All pair-wise comparisons from ANOVA analysis were made using Fisher’s Protected Least Significant Differences to control the overall significance level at 5%. Statistical analysis was performed using SAS version 9.4 (SAS Institute, Inc., Cary, NC). Results: The two-way interaction sucrose concentration × surface conditioning was not significant for VHNchange (p=0.872), ∆Z (p=0.662) or L (p=0.436). Surface conditioning affected VHNchange significantly (p=0.0079); however, it did not affect ∆Z (p=0.7383) or L (p=0.7323). Sucrose concentration impacted ∆Z (p<0.0001) and L (p<0.0001); however, it did not affect VHNchange (p=0.2877). Table 1 shows the data for all measured variables for each subgroup. The VHNchange pairwise multiple comparison analyses indicated that the pellicle type created a significant difference between groups. In both sucrose concentrations, surface conditioning with filtered/pasteurized saliva resulted in the lowest VHNchange values, when compared with other surface conditioning groups. The difference between filtered/pasteurized subgroups and the two other surface conditionings was significant (filtered/pasteurized and filtered saliva subgroups p=0.006; filtered/pasteurized and DIW subgroups p=0.0075), while difference was insignificant between filtered saliva and DIW subgroups (p= 0.9312) (Table 1). For the ∆Z values, the pairwise comparisons indicated a statistically significant difference only between 0.5% and 1% sucrose concentration (p<0.0001), and not based on the surface conditioning status. Growing the biofilm in 1% sucrose always resulted in lesions with higher ∆Z values, indicating more severe lesions. Similarly, the pairwise comparisons for L values indicated a statistically significant difference between 0.5% and 1% sucrose (p<0.0001). Also, the L values were always higher in 1% incubation conditions, which means more severe carious lesions (Table 1). Discussion: This study aimed to evaluate the influence of surface conditioning using human saliva before biofilm formation in vitro on enamel demineralization. The statistical analysis results showed the hardness data were only affected by pellicle type, whereas the TMR data were only affected by sucrose concentration. To fully understand this contradiction, one should consider the differences between the variables studied. Surface microhardness is a measurement of how a material responds to deformation. It is mainly influenced by surface integrity and rather than by structural characteristics or mineral content of the bulk substrate. One of the pellicle functions in the oral cavity is its masking effect: it coats dental surfaces and other structures, which may lead to different patterns of bacterial biofilm formation according to the presence/absence or the quality of the pellicle.23-25 The presence or absence of a pellicle layer, therefore, will affect surface characteristics, and this may explain the significant differences between pellicle subgroups in our study. On the other hand, TMR measures are based on mineral content rather than structure. Therefore, the expectation is to observe differences only when carious lesions with different mineral contents and/or distributions form during demineralization.26 Surface microhardness testing is straightforward and nondestructive. In some studies, it is coupled with transverse microradiography based on their objective. The minerals loss within the outer enamel was found to be proportional with the degree of the indenter penetration. However, deeper lesions cannot be quantitatively measured using surface microhardness.27 Moreover, surface microhardness is most effective in analyzing homogenous materials and shallow lesions only (e.g. enamel outer surface).28 White28 (1987) reported, in a study in which they evaluated the differences between surface microhardness and microradiography, that surface microhardness could detect remineralization in early lesions (or at least hardening of the surface without remineralization).28 Evaluating mineral content within the outermost layers of the enamel using microradiography is difficult. Therefore, the two analyses are usually considered complementary to each other in demineralization/remineralization studies.28 In this study, an active attachment model adopted from a previously published model was used.1,20 Despite still lacking more complex features that lead to more clinical relevance (e.g. pulsation of nutrients into the environment),29 an active attachment has the advantage of ensuring that the bacterial layers formed over the surface are not just sedimented cells, but rather attached to the enamel surface and to each other.20 A salivary bacterial mix was used to create a largely undefined microcosm biofilm. Before bacterial inoculation, the pooled saliva was tested for the presence of Streptococcus mutans and Lactobacilli using selective agars. The results confirmed the presence of both species. In vitro studies use various approaches with biofilms formed from monospecies (such as Streptococcus mutans or Lactobacilli),20,30 two or multiple species (3–10 species),1,31 or a microcosm biofilm.32,33 While single or multiple, defined species allow for greater control, employing a microcosm biofilm can result in greater clinical relevance. The acquired pellicle can be formed from saliva or plaque samples collected and pooled from single and/or multiple donors.21 This study used an approach based on conclusions drawn from previous studies.21,32 Some studies limited their salivary (or plaque) mix to be collected from a single donor,33 other studies collected samples from two or more donors.34 In this study, wax–stimulated saliva samples from three donors were pooled, thereby increasing the translational value of the findings. One could suggest that using a microcosm biofilm source may result in large variability. However, the variability of biofilm characteristics in in vitro studies was explored previously,21 and most studies33-35 concluded that collection of saliva samples from the same donor at different times does not affect biofilm diversity. Moreover, the involvement of sucrose over time can lead to a dominance of certain bacterial strains (mainly cariogenic bacteria), thus overcoming initial differences between different samples (either from different donors or collected at different times from the same donor).21 The formation of acquired pellicle in in vitro studies can be conducted by exposing the surface of interest to sterile saliva solution for a certain period. Although including salivary pellicle in the model seems to be more clinically relevant, this step requires an expensive and time–consuming saliva sterilization (to ensure a bacterium–free solution that still contains salivary glycoproteins). Pasteurization was the method chosen to sterilize the diluted, pooled saliva samples.22 Although the samples were exposed to 60ºC for 30 minutes, this method still preserved salivary glycoproteins, as the heat needed for irreversible protein denaturation is at least 80ºC. It was documented previously that the time required to form the pellicle in vitro ranges from 3 minutes to 7 days. The same studies reported minor relevance of pellicle maturation (i.e., aging).36-38 Based on that, the choice was to incubate the enamel samples in three surface conditioning media types for 5 minutes in this study. Exposing enamel surface in vitro to 1:10 diluted saliva for 5 minutes is still expected to maintain clinical relevance; the longer exposure to glycoproteins overcomes the dilution factor. The second variable explored was sucrose concentration. Carbohydrate concentration within the growth media has been reported to impact the biofilm composition.39 Consequently, the biofilm cariogenicity may also be affected. As mentioned before, acquired pellicle formation is an integral step that precedes bacterial attachment to dental and oral surfaces. The formation of acquired pellicle generally consists of two stages.40 The first stage is very rapid and includes adsorption of salivary glycoproteins to the substrate. However, the second stage occurs immediately after the first stage in vivo.40 It is characterized by more adsorption of biomolecules, being the oral fluids the source of these biomolecules.40 Therefore, two different conditions of sources for the salivary pellicle (filtered/pasteurized and filtered saliva) were included in this study to represent these two stages and explore their influence in the pattern of demineralization. Although salivary pellicle formed from filtered/pasteurized saliva (which becomes free of viable bacteria) makes the in vitro study more controllable and the model more applicable if used in studies involving single/multiple species biofilm, using filtered saliva ensures more clinical relevance as the only eliminated element is food debris. This study focused mainly on pellicle involvement in in vitro microbial studies, and on the influence of this factor on the hard tissue substrate characteristics. It did not test the influence of the presence of acquired pellicle on the cariogenicity of a microcosm biofilm. This can be tested in a similar study by collecting 48–hour biofilm and analyzing cariogenicity (e.g., lactic acid production). The bacterial source (i.e., saliva vs. plaque samples) may also be tested, since it was already reported that biofilms formed from saliva vs. plaque have different characteristics.21 Furthermore, different incubation times may affect pellicle formation and maturation. Lastly, pellicle formation can also be achieved by exposing specimens to the oral cavity for different periods of time, which provides material for future research. Lastly, all the variables tested may be evaluated in a prolonged study (more than 48 h) to observe the lesion characteristics, especially TMR data. Conclusion: Considering the limitations of this study, the presence or absence of an artificially induced acquired pellicle layer does not influence biofilm–mediated enamel caries lesion formation as measured by TMR. Some differences were observed using surface microhardness, indicating a complex interaction between pellicle proteins and biofilm–mediated demineralization of the enamel surface. Table 1Percentage surface microhardness (VHNchange), mineral loss (∆Z; %volmin.μm), and lesion depth (L; μm) data (mean ± standard deviation) for all treatment groupsSurface ConditioningSucrose Concen- trationVHNchange∆ZL Filtered/ Pasteurized SalivaFiltered SalivaControl (DIW)Filtered/ Pasteurized SalivaFiltered SalivaControl (DIW)Filtered/ Pasteurized SalivaFiltered SalivaControl (DIW)0.5%32.7a, A51.5b, A48b, A820a, A1257a, A867a, A38.8a, A47.8a, A37.3a, A ±20.7 ±18.4 ±17.1 ±266 ±406 ±338 ±9 ±9.6 ±14.2 1%24.8a, A43.9b, A46.2b, A2623a, B2505a, B2428a, B78.4a, B73.3a, B74.6a, B ±22.4 ±21 ±18.8 ±1014 ±1480 ±1208 ±17.5 ±26.7 ±20.6 Upper case letters indicate statistically significant differences between surface conditioning methods within sucrose concentrationsLower case letters indicate statistically significant differences between sucrose concentrations within surface conditioning methods Upper case letters indicate statistically significant differences between surface conditioning methods within sucrose concentrations Lower case letters indicate statistically significant differences between sucrose concentrations within surface conditioning methods
Background: The acquired pellicle formation is the first step in dental biofilm formation. It distinguishes dental biofilms from other biofilm types. Methods: Saliva collection was approved by Indiana University IRB. Three donors provided wax-stimulated saliva as the microcosm bacterial inoculum source. Acquired pellicle was formed on bovine enamel samples. Two groups (0.5% and 1% sucrose-supplemented growth media) with three subgroups (surface conditioning using filtered/pasteurized saliva; filtered saliva; and deionized water (DIW)) were included (n=9/subgroup). Biofilm was then allowed to grow for 48 h using Brain Heart Infusion media supplemented with 5 g/l yeast extract, 1 mM CaCl2.2H2O, 5% vitamin K and hemin (v/v), and sucrose. Enamel samples were analyzed for Vickers surface microhardness change (VHNchange), and transverse microradiography measuring lesion depth (L) and mineral loss (∆Z). Data were analyzed using two-way ANOVA. Results: The two-way interaction of sucrose concentration × surface conditioning was not significant for VHNchange (p=0.872), ∆Z (p=0.662) or L (p=0.436). Surface conditioning affected VHNchange (p=0.0079), while sucrose concentration impacted ∆Z (p<0.0001) and L (p<0.0001). Surface conditioning with filtered/pasteurized saliva resulted in the lowest VHNchange values for both sucrose concentrations. The differences between filtered/pasteurized subgroups and the two other surface conditionings were significant (filtered saliva p=0.006; DIW p=0.0075). Growing the biofilm in 1% sucrose resulted in lesions with higher ∆Z and L values when compared with 0.5% sucrose. The differences in ∆Z and L between sucrose concentration subgroups was significant, regardless of surface conditioning (both p<0.0001). Conclusions: Within the study limitations, surface conditioning using human saliva does not influence biofilm-mediated enamel caries lesion formation as measured by transverse microradiography, while differences were observed using surface microhardness, indicating a complex interaction between pellicle proteins and biofilm-mediated demineralization of the enamel surface.
Introduction: Dental caries is a multifactorial disease, in which acid–producing bacteria, dietary carbohydrates, time, and a susceptible host contribute to the disease initiation and progression.1 The process starts when oral bacteria, present in an equilibrium state, ferment carbohydrates; this equilibrium shifts to increased populations of acidogenic (acid–producing) and aciduric (acid–tolerant) bacteria.1 The consistent presence of acid in the environment disrupts the mineral equilibrium of the exposed dental structures (i.e. enamel and/or dentin), and, therefore, leads to carious lesions.1,2 Dental biofilm has been defined as “matrix–enclosed microbial communities in which cells adhere to each other and/or to surfaces or interfaces.”3 Over 700 bacterial species are present in the oral cavity.4 They are in all oral hard and soft tissue structures. These bacterial aggregations usually produce and become enclosed in extracellular polymeric substance (EPS). The formation of dental biofilm (or dental plaque) consists of several steps, which start with the formation of the acquired pellicle, followed by the initial adhesion of planktonic bacteria to the pellicle layer by binding sites, subsequent maturation of the bacterial biofilm, and, finally, the dispersion of biofilm with detachment of cells/clusters of cells.5 The formation of the acquired pellicle is the first step in dental biofilm formation, and it is a unique step distinguishing it from other biofilm types.5 It consists of several interactions between various salivary glycoproteins, and their interaction with the tooth surface. These biochemical interactions are based on Gibbs law of free enthalpy5,6; they lead to the attachment of salivary glycoproteins to a surface (i.e. the enamel). The resulting formed layer is a protein–rich layer with binding sites; these sites are ready for early colonizers to attach.6 Based on this unique process, some studies suggested a new intervention to prevent biofilm formation: this intervention is in the form of preventing pellicle formation.7 Many microbial studies have explored and studied dental biofilm from many aspects using different cariogenic models.8-11 However, they omitted the step of surface conditioning by the formation of acquired pellicle. This leads to less clinical relevance, especially for this area of study (the significance of including the pellicle) has not been researched previously. Acquired enamel pellicle (AEP) has been explored previously for its composition and function.12-16 Studies have explored pellicles and found differences between AEP formed in vitro, in vivo, and in situ. These studies have reported ultrastructural variations, intrinsic and extrinsic maturation variations, as well as variation in the AEP morphology. Studies have found that in vitro AEP were superior to in vivo, which contain higher amounts of proteins. They are also superior in the overall amounts produced (due to the difficulty in collecting in vivo AEP).12-16 In in vitro studies, the salivary pellicle can typically form before exposure to bacteria–containing media, resulting in biofilm formation. Several methods have been used to form a salivary pellicle.17-19 In general, the dental surface is exposed to saliva (sterilized, free from bacteria) for a specific amount of time (ranges from minutes to several hours) before being exposed to oral bacteria for biofilm formation.17-19 The significance of surface conditioning before biofilm growth (to allow the formation of acquired enamel pellicle) in studying biofilm models was not evaluated previously and, therefore, needs to be explored. Hence, this study aims to explore the influence of salivary conditioning before biofilm formation on enamel demineralization. The hypothesis was: 1) a significant difference between filtered/pasteurized saliva, filtered saliva, and deionized water (DIW; negative control) as conditioning agents on biofilm–mediated enamel demineralization; and 2) a significant difference between 0.5% and 1% sucrose–supplemented growth media on enamel demineralization. Conclusion: Considering the limitations of this study, the presence or absence of an artificially induced acquired pellicle layer does not influence biofilm–mediated enamel caries lesion formation as measured by TMR. Some differences were observed using surface microhardness, indicating a complex interaction between pellicle proteins and biofilm–mediated demineralization of the enamel surface. Table 1Percentage surface microhardness (VHNchange), mineral loss (∆Z; %volmin.μm), and lesion depth (L; μm) data (mean ± standard deviation) for all treatment groupsSurface ConditioningSucrose Concen- trationVHNchange∆ZL Filtered/ Pasteurized SalivaFiltered SalivaControl (DIW)Filtered/ Pasteurized SalivaFiltered SalivaControl (DIW)Filtered/ Pasteurized SalivaFiltered SalivaControl (DIW)0.5%32.7a, A51.5b, A48b, A820a, A1257a, A867a, A38.8a, A47.8a, A37.3a, A ±20.7 ±18.4 ±17.1 ±266 ±406 ±338 ±9 ±9.6 ±14.2 1%24.8a, A43.9b, A46.2b, A2623a, B2505a, B2428a, B78.4a, B73.3a, B74.6a, B ±22.4 ±21 ±18.8 ±1014 ±1480 ±1208 ±17.5 ±26.7 ±20.6 Upper case letters indicate statistically significant differences between surface conditioning methods within sucrose concentrationsLower case letters indicate statistically significant differences between sucrose concentrations within surface conditioning methods Upper case letters indicate statistically significant differences between surface conditioning methods within sucrose concentrations Lower case letters indicate statistically significant differences between sucrose concentrations within surface conditioning methods
Background: The acquired pellicle formation is the first step in dental biofilm formation. It distinguishes dental biofilms from other biofilm types. Methods: Saliva collection was approved by Indiana University IRB. Three donors provided wax-stimulated saliva as the microcosm bacterial inoculum source. Acquired pellicle was formed on bovine enamel samples. Two groups (0.5% and 1% sucrose-supplemented growth media) with three subgroups (surface conditioning using filtered/pasteurized saliva; filtered saliva; and deionized water (DIW)) were included (n=9/subgroup). Biofilm was then allowed to grow for 48 h using Brain Heart Infusion media supplemented with 5 g/l yeast extract, 1 mM CaCl2.2H2O, 5% vitamin K and hemin (v/v), and sucrose. Enamel samples were analyzed for Vickers surface microhardness change (VHNchange), and transverse microradiography measuring lesion depth (L) and mineral loss (∆Z). Data were analyzed using two-way ANOVA. Results: The two-way interaction of sucrose concentration × surface conditioning was not significant for VHNchange (p=0.872), ∆Z (p=0.662) or L (p=0.436). Surface conditioning affected VHNchange (p=0.0079), while sucrose concentration impacted ∆Z (p<0.0001) and L (p<0.0001). Surface conditioning with filtered/pasteurized saliva resulted in the lowest VHNchange values for both sucrose concentrations. The differences between filtered/pasteurized subgroups and the two other surface conditionings were significant (filtered saliva p=0.006; DIW p=0.0075). Growing the biofilm in 1% sucrose resulted in lesions with higher ∆Z and L values when compared with 0.5% sucrose. The differences in ∆Z and L between sucrose concentration subgroups was significant, regardless of surface conditioning (both p<0.0001). Conclusions: Within the study limitations, surface conditioning using human saliva does not influence biofilm-mediated enamel caries lesion formation as measured by transverse microradiography, while differences were observed using surface microhardness, indicating a complex interaction between pellicle proteins and biofilm-mediated demineralization of the enamel surface.
7,092
383
[ 184, 156, 759, 62, 177, 133, 44, 150, 342, 40, 124, 80 ]
17
[ "saliva", "surface", "filtered", "pellicle", "biofilm", "bacterial", "enamel", "10", "specimens", "pooled" ]
[ "biofilm formation enamel", "oral bacteria biofilm", "dental biofilm defined", "studied dental biofilm", "lesions dental biofilm" ]
[CONTENT] Dental caries | Biofilms | Salivary pellicle | Saliva [SUMMARY]
[CONTENT] Dental caries | Biofilms | Salivary pellicle | Saliva [SUMMARY]
[CONTENT] Dental caries | Biofilms | Salivary pellicle | Saliva [SUMMARY]
[CONTENT] Dental caries | Biofilms | Salivary pellicle | Saliva [SUMMARY]
[CONTENT] Dental caries | Biofilms | Salivary pellicle | Saliva [SUMMARY]
[CONTENT] Dental caries | Biofilms | Salivary pellicle | Saliva [SUMMARY]
[CONTENT] Animals | Biofilms | Cattle | Dental Enamel | Dental Pellicle | Hardness | Microradiography | Pasteurization | Reference Values | Saliva | Sucrose | Surface Properties | Tooth Demineralization [SUMMARY]
[CONTENT] Animals | Biofilms | Cattle | Dental Enamel | Dental Pellicle | Hardness | Microradiography | Pasteurization | Reference Values | Saliva | Sucrose | Surface Properties | Tooth Demineralization [SUMMARY]
[CONTENT] Animals | Biofilms | Cattle | Dental Enamel | Dental Pellicle | Hardness | Microradiography | Pasteurization | Reference Values | Saliva | Sucrose | Surface Properties | Tooth Demineralization [SUMMARY]
[CONTENT] Animals | Biofilms | Cattle | Dental Enamel | Dental Pellicle | Hardness | Microradiography | Pasteurization | Reference Values | Saliva | Sucrose | Surface Properties | Tooth Demineralization [SUMMARY]
[CONTENT] Animals | Biofilms | Cattle | Dental Enamel | Dental Pellicle | Hardness | Microradiography | Pasteurization | Reference Values | Saliva | Sucrose | Surface Properties | Tooth Demineralization [SUMMARY]
[CONTENT] Animals | Biofilms | Cattle | Dental Enamel | Dental Pellicle | Hardness | Microradiography | Pasteurization | Reference Values | Saliva | Sucrose | Surface Properties | Tooth Demineralization [SUMMARY]
[CONTENT] biofilm formation enamel | oral bacteria biofilm | dental biofilm defined | studied dental biofilm | lesions dental biofilm [SUMMARY]
[CONTENT] biofilm formation enamel | oral bacteria biofilm | dental biofilm defined | studied dental biofilm | lesions dental biofilm [SUMMARY]
[CONTENT] biofilm formation enamel | oral bacteria biofilm | dental biofilm defined | studied dental biofilm | lesions dental biofilm [SUMMARY]
[CONTENT] biofilm formation enamel | oral bacteria biofilm | dental biofilm defined | studied dental biofilm | lesions dental biofilm [SUMMARY]
[CONTENT] biofilm formation enamel | oral bacteria biofilm | dental biofilm defined | studied dental biofilm | lesions dental biofilm [SUMMARY]
[CONTENT] biofilm formation enamel | oral bacteria biofilm | dental biofilm defined | studied dental biofilm | lesions dental biofilm [SUMMARY]
[CONTENT] saliva | surface | filtered | pellicle | biofilm | bacterial | enamel | 10 | specimens | pooled [SUMMARY]
[CONTENT] saliva | surface | filtered | pellicle | biofilm | bacterial | enamel | 10 | specimens | pooled [SUMMARY]
[CONTENT] saliva | surface | filtered | pellicle | biofilm | bacterial | enamel | 10 | specimens | pooled [SUMMARY]
[CONTENT] saliva | surface | filtered | pellicle | biofilm | bacterial | enamel | 10 | specimens | pooled [SUMMARY]
[CONTENT] saliva | surface | filtered | pellicle | biofilm | bacterial | enamel | 10 | specimens | pooled [SUMMARY]
[CONTENT] saliva | surface | filtered | pellicle | biofilm | bacterial | enamel | 10 | specimens | pooled [SUMMARY]
[CONTENT] biofilm | formation | dental | pellicle | studies | aep | bacteria | dental biofilm | acquired | biofilm formation [SUMMARY]
[CONTENT] saliva | pooled | 10 | specimens | pooled saliva | filtered | bacterial | diluted | ml | model [SUMMARY]
[CONTENT] difference | 0001 | values | vhnchange | significant | sucrose | indicated | pairwise | filtered | surface conditioning [SUMMARY]
[CONTENT] indicate statistically significant | letters | surface conditioning methods | indicate statistically significant differences | statistically significant differences | conditioning methods | indicate statistically | indicate | case letters indicate statistically | case letters indicate [SUMMARY]
[CONTENT] saliva | filtered | surface | specimens | vhnsound | biofilm | enamel | 10 | pellicle | pooled [SUMMARY]
[CONTENT] saliva | filtered | surface | specimens | vhnsound | biofilm | enamel | 10 | pellicle | pooled [SUMMARY]
[CONTENT] first ||| [SUMMARY]
[CONTENT] Saliva | Indiana University | IRB ||| Three ||| ||| Two | 0.5% | 1% | three | DIW ||| 48 | Brain Heart Infusion | 5 | 1 mM CaCl2.2H2O | 5% | hemin ||| Enamel | Vickers | ∆Z ||| two [SUMMARY]
[CONTENT] two | VHNchange | ∆Z ||| p=0.0079 | ∆Z ||| VHNchange ||| two | DIW ||| 1% | ∆Z | L | 0.5% ||| ∆Z | L [SUMMARY]
[CONTENT] [SUMMARY]
[CONTENT] first ||| ||| Saliva | Indiana University | IRB ||| Three ||| ||| Two | 0.5% | 1% | three | DIW ||| 48 | Brain Heart Infusion | 5 | 1 mM CaCl2.2H2O | 5% | hemin ||| Enamel | Vickers | ∆Z ||| two ||| ||| two | VHNchange | ∆Z ||| p=0.0079 | ∆Z ||| VHNchange ||| two | DIW ||| 1% | ∆Z | L | 0.5% ||| ∆Z | L ||| [SUMMARY]
[CONTENT] first ||| ||| Saliva | Indiana University | IRB ||| Three ||| ||| Two | 0.5% | 1% | three | DIW ||| 48 | Brain Heart Infusion | 5 | 1 mM CaCl2.2H2O | 5% | hemin ||| Enamel | Vickers | ∆Z ||| two ||| ||| two | VHNchange | ∆Z ||| p=0.0079 | ∆Z ||| VHNchange ||| two | DIW ||| 1% | ∆Z | L | 0.5% ||| ∆Z | L ||| [SUMMARY]
Small Size Autograft versus Large Size Allograft in Anterior Cruciate Ligament Reconstruction.
33747377
A small autograft diameter negatively affects functional outcomes, knee stability, and the risk of rerupture after anterior cruciate ligament (ACL) reconstruction, whereas the strength of allograft decreases over time. Therefore, it is not clear whether the use of smaller autografts or the use of larger allografts in ACL yields better results. The aim of this study was to compare the outcome of smaller autografts and larger allografts for ACL reconstruction.
BACKGROUND
Fifty-one patients who underwent ACL reconstruction with hamstring tendon autografts (size ≤ 8 mm) and 21 patients who underwent ACL reconstruction with allografts (size ≥ 10 mm) were included in our study. All patients underwent the same aggressive early postoperative rehabilitation program. There were no significant differences between the autograft and allograft groups regarding the preoperative patient age, sex, time from injury to surgery, and average follow-up time.
METHODS
The mean diameter of the 4-stranded hamstring tendon grafts used as autografts was 7.48 ± 0.33 mm and the mean diameter of the allografts was 10.76 ± 0.67 mm. According to specific tests for the ACL (anterior drawer, Lachman, and pivot shift) and clinical evaluation tests (Lysholm knee scoring scale and International Knee Documentation Committee questionnaire), the final follow-up results were significantly better than the preoperative status in both autograft and allograft ACL reconstruction groups. Therefore, there were no significant differences between the autograft and allograft groups preoperatively and at the final follow-up.
RESULTS
The large size of the graft in ACL reconstruction has been reported to affect results positively. However, in our study, we could not find any significant differences between the smaller size autografts and larger size allografts in terms of inadequacy, rerupture, and final follow-up functional results. Although allografts were significantly larger than autografts, we did not have the positive effect of larger size grafts. Smaller size autografts were as effective as the larger size allografts.
CONCLUSIONS
[ "Allografts", "Anterior Cruciate Ligament Reconstruction", "Autografts", "Female", "Hamstring Tendons", "Humans", "Lysholm Knee Score", "Male", "Retrospective Studies" ]
7948033
null
null
METHODS
This study is a retrospective, non-drug, observational clinical trial. Local Ethics Committee approval was received from the Gaziosmanpasa Training and Research Hospital (2017), and consent form was obtained from the patients included in the study. A total of 168 patients who underwent ACL reconstruction with autografts or allografts between 2013 and 2015 were retrospectively reviewed. Exclusion criteria were graft size above 8 mm for autografts and below 10 mm for allografts, the presence of additional fractures around the knee joint, multiligamentous knee injury, chondral lesions, and medial or lateral meniscus injuries. Fifty-one patients who underwent ACL reconstruction with hamstring tendon autografts (size ≤ 8 mm) and 21 patients who underwent ACL reconstruction with ATT allografts (size ≥ 10 mm) were included in our study. Patient's preoperative age, sex, time from injury to surgery, and average follow-up time were evaluated and there were no significant differences between autograft and allograft groups (p < 0.05) (Table 1). All surgical procedures were performed by the senior author (HB) at the same center. All knees were reconstructed with single-bundle ACL grafts. All grafts were fixed with EndoButton. Patients in both groups followed the same aggressive early postoperative rehabilitation program at the same center.1718) The patients did not wear a postoperative knee brace or an immobilizer. Passive motion exercises without restrictions on hyperextension were started immediately after surgery. At the same time, range of motion exercise was started with a continuous passive-motion machine from 0° to 50°. Patients began weight bearing as tolerated immediately after surgery and used bilateral axillary crutches. Phase 1 exercises were started to facilitate early motion and muscle activation in the first postoperative week. Mobilization began with full weight-bearing without an assistive device. The phase 1 exercises were continued in the second postoperative week. Phase 2 exercises were started in the fourth postoperative week, phase 3 exercises in the eighth postoperative week, and phase 4 exercises in the twelfth postoperative week. Preoperative and final follow-up clinical evaluations were performed with the Lysholm knee scoring scale19) and International Knee Documentation Committee (IKDC) questionnaire.20) In addition, special tests for ACL (anterior drawer, Lachman, and pivot shift tests) were conducted preoperatively and at the final follow-up. The preoperative and final follow-up values were compared between groups and within each group. All patients were assessed by the same evaluator at different centers. For statistical analysis, patients' mean age, mean time from injury to surgery, and mean follow-up period were compared with a 2-tailed independent sample t-test, whereas all other parameters were compared with a chi-square test. Statistical significance was set at p < 0.05.
RESULTS
The patients were divided into 2 groups according to the graft type. There were no significant differences between the 2 groups regarding the men-to-women ratio, mean age, mean follow-up period, and mean time from injury to surgery (p > 0.05) (Table 1). The mean diameter of the autografts was 7.48 ± 0.33 mm and the mean diameter of the ATT allografts was 10.76 ± 0.67 mm. The diameter of the allografts was significantly larger than that of the autografts (p < 0.001). The final follow-up results of the anterior drawer, Lachman, and pivot shift tests were significantly better than the preoperative test results in both autograft and allograft groups. Therefore, there were no significant differences between groups regarding the preoperative and final follow-up ACL test results (p > 0.05) (Table 2). According to the Lysholm knee scoring scale and IKDC questionnaire, the final follow-up results were significantly better than the preoperative values in both autograft and allograft groups. When the groups were compared within them according to their preoperative and final follow-up results, statistically better results were obtained at the final follow-up in both groups (p < 0.001). Therefore, there were no significant differences between groups preoperatively and at the final follow-up (p > 0.05) (Table 3). Infection developed in a patient in the allograft group at the third postoperative month. Allograft and all implants were extracted and she received antibiotic therapy for 3 weeks. In the autograft group, 2 patients were diagnosed with rerupture and revision surgery was performed.
null
null
[]
[]
[]
[ "METHODS", "RESULTS", "DISCUSSION" ]
[ "This study is a retrospective, non-drug, observational clinical trial. Local Ethics Committee approval was received from the Gaziosmanpasa Training and Research Hospital (2017), and consent form was obtained from the patients included in the study.\nA total of 168 patients who underwent ACL reconstruction with autografts or allografts between 2013 and 2015 were retrospectively reviewed. Exclusion criteria were graft size above 8 mm for autografts and below 10 mm for allografts, the presence of additional fractures around the knee joint, multiligamentous knee injury, chondral lesions, and medial or lateral meniscus injuries. Fifty-one patients who underwent ACL reconstruction with hamstring tendon autografts (size ≤ 8 mm) and 21 patients who underwent ACL reconstruction with ATT allografts (size ≥ 10 mm) were included in our study. Patient's preoperative age, sex, time from injury to surgery, and average follow-up time were evaluated and there were no significant differences between autograft and allograft groups (p < 0.05) (Table 1).\nAll surgical procedures were performed by the senior author (HB) at the same center. All knees were reconstructed with single-bundle ACL grafts. All grafts were fixed with EndoButton. Patients in both groups followed the same aggressive early postoperative rehabilitation program at the same center.1718) The patients did not wear a postoperative knee brace or an immobilizer. Passive motion exercises without restrictions on hyperextension were started immediately after surgery. At the same time, range of motion exercise was started with a continuous passive-motion machine from 0° to 50°. Patients began weight bearing as tolerated immediately after surgery and used bilateral axillary crutches. Phase 1 exercises were started to facilitate early motion and muscle activation in the first postoperative week. Mobilization began with full weight-bearing without an assistive device. The phase 1 exercises were continued in the second postoperative week. Phase 2 exercises were started in the fourth postoperative week, phase 3 exercises in the eighth postoperative week, and phase 4 exercises in the twelfth postoperative week.\nPreoperative and final follow-up clinical evaluations were performed with the Lysholm knee scoring scale19) and International Knee Documentation Committee (IKDC) questionnaire.20) In addition, special tests for ACL (anterior drawer, Lachman, and pivot shift tests) were conducted preoperatively and at the final follow-up. The preoperative and final follow-up values were compared between groups and within each group. All patients were assessed by the same evaluator at different centers.\nFor statistical analysis, patients' mean age, mean time from injury to surgery, and mean follow-up period were compared with a 2-tailed independent sample t-test, whereas all other parameters were compared with a chi-square test. Statistical significance was set at p < 0.05.", "The patients were divided into 2 groups according to the graft type. There were no significant differences between the 2 groups regarding the men-to-women ratio, mean age, mean follow-up period, and mean time from injury to surgery (p > 0.05) (Table 1). The mean diameter of the autografts was 7.48 ± 0.33 mm and the mean diameter of the ATT allografts was 10.76 ± 0.67 mm. The diameter of the allografts was significantly larger than that of the autografts (p < 0.001). The final follow-up results of the anterior drawer, Lachman, and pivot shift tests were significantly better than the preoperative test results in both autograft and allograft groups. Therefore, there were no significant differences between groups regarding the preoperative and final follow-up ACL test results (p > 0.05) (Table 2).\nAccording to the Lysholm knee scoring scale and IKDC questionnaire, the final follow-up results were significantly better than the preoperative values in both autograft and allograft groups. When the groups were compared within them according to their preoperative and final follow-up results, statistically better results were obtained at the final follow-up in both groups (p < 0.001). Therefore, there were no significant differences between groups preoperatively and at the final follow-up (p > 0.05) (Table 3). Infection developed in a patient in the allograft group at the third postoperative month. Allograft and all implants were extracted and she received antibiotic therapy for 3 weeks. In the autograft group, 2 patients were diagnosed with rerupture and revision surgery was performed.", "There are many graft options for ACL reconstruction. Although the ideal graft for ACL reconstruction is still controversial, the autograft remains a popular graft choice.21) Graft tissue type, bone containing or all soft tissue, is also controversial among surgeons reconstructing the ACL.5) Bone-containing autografts (bone-patellar tendon-bone graft) were most preferred previously. However, recent studies have shown that all soft-tissue autografts are as effective as bone-containing autografts in terms of stiffness, strength, and clinical outcomes.67) Nowadays, hamstring tendon grafts are the most preferred all soft-tissue autografts.678) In addition, the problems of bone-patellar tendon-bone autografts, such as donor site morbidity, postoperative knee motion restriction, and anterior knee pain, are minimized with the use of hamstring tendon autografts.910)\nThe use of allografts has become more common in ACL reconstruction than in the past. Although studies with allografts showed satisfactory results, complications such as longer vascularization time and potential risks including immune rejection and disease transmission are still unavoidable.22) The incorporation of allografts is slower than that of autografts. In a study by Jackson et al.,16) at a 6-month follow-up, the cross-sectional area of allografts was smaller than that of autografts and the graft strength was weaker for allografts. Therefore, the study suggested that rehabilitation should be implemented slowly in a more controlled setting in allograft reconstruction patients.\nIn our study, we used all soft-tissue grafts for autografts and allografts. We preferred the smaller size hamstring tendon graft as autografts and the larger size ATT as allografts. The same rehabilitation program was used for all patients who received autografts or allografts. Progressive rehabilitation was started in the early postoperative period in both groups. However, there was no significant difference between autograft and allograft groups in terms of final follow-up results and graft insufficiency.\nThe size of the graft is important in ACL reconstruction. One study showed that the larger graft diameter was associated with lower meniscal stress, decreased joint laxity, and less articular cartilage contact stress.12) In the study, 5-mm-diameter grafts exhibited 30% more anteroposterior translation than 9-mm grafts. The data of the study suggest that an increased graft size confers a biomechanical advantage in the ACL-reconstructed knees. In addition, the smaller the graft size, the higher the rate of revision.1323) Revision rate decreases 0.82 times per 0.5-mm graft diameter increase between 7-mm and 9-mm graft diameter.13) Small graft diameter also adversely affects clinical outcomes.11) Therefore, current studies suggest that increased graft size provides both biomechanical advantages and better functional and clinical outcomes in the ACL reconstructed knees.1124)\nACL reconstruction with 8-mm and larger diameter grafts reduces the risk of failure. In a study by Conte et al.,11) the failure rate was higher in reconstructions performed with grafts below 8 mm in diameter, especially in patients under 20 years of age.\nBesides the higher revision rate, the smaller graft size was a predictor of poorer functional score at 2 years after primary ACL reconstruction in a study by Magnussen et al.23) There are not enough studies evaluating the effect of graft size on the results of ACL reconstruction in the literature. Some studies compared autografts with different diameters,11121324) but there is no study on the allograft size in the literature. Several studies have reported the average diameter of the 4-strand hamstring tendon grafts to be between 7.7 mm and 8.5 mm.142526) The 4-strand hamstring tendon graft can be small in some patients, which increases the risk of failure and worse results after reconstruction. Thus, surgeons apply various methods to increase the graft size either by using the hamstring tendon of the other healthy extremity or by augmenting with the tendon graft from another part of the body. Some surgeons increase the size of these grafts by augmentation with allografts. However, it has been demonstrated in the literature that augmentation with allografts increases the risk of graft failure and retear rates.15)\nIn studies on autograft augmentation with allografts, it was found that the purity of the autograft was more important than the size. According to the KT-1000 test scores, autografts were significantly superior to hybrid grafts. It has been reported that increasing the size of autografts with allografts is meaningless.2728)\nThe graft diameter can be determined preoperatively in allograft ACL reconstruction. Surgeons prefer large diameter grafts to small diameter grafts in ACL reconstruction. We included patients who underwent ACL reconstruction with 10 mm and 11 mm diameter ATT allografts. In the autograft group, we included patients who underwent ACL reconstruction with a 4-stranded hamstring tendon graft with a diameter of 8 mm or less. However, we could not find any significant difference between the 2 groups in terms of inadequacy, rerupture, and final follow-up functional results. Although allografts were significantly larger than autografts, we did not see the positive effects of larger size grafts as described in the literature.\nStudies have shown that allografts and autografts undergo a similar remodeling sequence, which consists of graft necrosis, cellular repopulation, revascularization, and collagen remodeling. Allografts and autografts have similar phases during their biologic incorporation, but these processes may proceed at a slower rate in allografts than in autografts.1629) We think that this slow biological incorporation in allografts causes negative effects on the results. Therefore, smaller size autografts will give as good results as larger allografts.\nWe evaluated the early results of ACL reconstruction with a small sample size in this retrospective study; late results were not evaluated. If ACL reconstruction with larger size autografts and smaller size allografts had been included, the importance of this study would have been increased." ]
[ "methods", "results", "discussion" ]
[ "Anterior cruciate ligament injury", "Graft size", "Allograft", "Autograft" ]
METHODS: This study is a retrospective, non-drug, observational clinical trial. Local Ethics Committee approval was received from the Gaziosmanpasa Training and Research Hospital (2017), and consent form was obtained from the patients included in the study. A total of 168 patients who underwent ACL reconstruction with autografts or allografts between 2013 and 2015 were retrospectively reviewed. Exclusion criteria were graft size above 8 mm for autografts and below 10 mm for allografts, the presence of additional fractures around the knee joint, multiligamentous knee injury, chondral lesions, and medial or lateral meniscus injuries. Fifty-one patients who underwent ACL reconstruction with hamstring tendon autografts (size ≤ 8 mm) and 21 patients who underwent ACL reconstruction with ATT allografts (size ≥ 10 mm) were included in our study. Patient's preoperative age, sex, time from injury to surgery, and average follow-up time were evaluated and there were no significant differences between autograft and allograft groups (p < 0.05) (Table 1). All surgical procedures were performed by the senior author (HB) at the same center. All knees were reconstructed with single-bundle ACL grafts. All grafts were fixed with EndoButton. Patients in both groups followed the same aggressive early postoperative rehabilitation program at the same center.1718) The patients did not wear a postoperative knee brace or an immobilizer. Passive motion exercises without restrictions on hyperextension were started immediately after surgery. At the same time, range of motion exercise was started with a continuous passive-motion machine from 0° to 50°. Patients began weight bearing as tolerated immediately after surgery and used bilateral axillary crutches. Phase 1 exercises were started to facilitate early motion and muscle activation in the first postoperative week. Mobilization began with full weight-bearing without an assistive device. The phase 1 exercises were continued in the second postoperative week. Phase 2 exercises were started in the fourth postoperative week, phase 3 exercises in the eighth postoperative week, and phase 4 exercises in the twelfth postoperative week. Preoperative and final follow-up clinical evaluations were performed with the Lysholm knee scoring scale19) and International Knee Documentation Committee (IKDC) questionnaire.20) In addition, special tests for ACL (anterior drawer, Lachman, and pivot shift tests) were conducted preoperatively and at the final follow-up. The preoperative and final follow-up values were compared between groups and within each group. All patients were assessed by the same evaluator at different centers. For statistical analysis, patients' mean age, mean time from injury to surgery, and mean follow-up period were compared with a 2-tailed independent sample t-test, whereas all other parameters were compared with a chi-square test. Statistical significance was set at p < 0.05. RESULTS: The patients were divided into 2 groups according to the graft type. There were no significant differences between the 2 groups regarding the men-to-women ratio, mean age, mean follow-up period, and mean time from injury to surgery (p > 0.05) (Table 1). The mean diameter of the autografts was 7.48 ± 0.33 mm and the mean diameter of the ATT allografts was 10.76 ± 0.67 mm. The diameter of the allografts was significantly larger than that of the autografts (p < 0.001). The final follow-up results of the anterior drawer, Lachman, and pivot shift tests were significantly better than the preoperative test results in both autograft and allograft groups. Therefore, there were no significant differences between groups regarding the preoperative and final follow-up ACL test results (p > 0.05) (Table 2). According to the Lysholm knee scoring scale and IKDC questionnaire, the final follow-up results were significantly better than the preoperative values in both autograft and allograft groups. When the groups were compared within them according to their preoperative and final follow-up results, statistically better results were obtained at the final follow-up in both groups (p < 0.001). Therefore, there were no significant differences between groups preoperatively and at the final follow-up (p > 0.05) (Table 3). Infection developed in a patient in the allograft group at the third postoperative month. Allograft and all implants were extracted and she received antibiotic therapy for 3 weeks. In the autograft group, 2 patients were diagnosed with rerupture and revision surgery was performed. DISCUSSION: There are many graft options for ACL reconstruction. Although the ideal graft for ACL reconstruction is still controversial, the autograft remains a popular graft choice.21) Graft tissue type, bone containing or all soft tissue, is also controversial among surgeons reconstructing the ACL.5) Bone-containing autografts (bone-patellar tendon-bone graft) were most preferred previously. However, recent studies have shown that all soft-tissue autografts are as effective as bone-containing autografts in terms of stiffness, strength, and clinical outcomes.67) Nowadays, hamstring tendon grafts are the most preferred all soft-tissue autografts.678) In addition, the problems of bone-patellar tendon-bone autografts, such as donor site morbidity, postoperative knee motion restriction, and anterior knee pain, are minimized with the use of hamstring tendon autografts.910) The use of allografts has become more common in ACL reconstruction than in the past. Although studies with allografts showed satisfactory results, complications such as longer vascularization time and potential risks including immune rejection and disease transmission are still unavoidable.22) The incorporation of allografts is slower than that of autografts. In a study by Jackson et al.,16) at a 6-month follow-up, the cross-sectional area of allografts was smaller than that of autografts and the graft strength was weaker for allografts. Therefore, the study suggested that rehabilitation should be implemented slowly in a more controlled setting in allograft reconstruction patients. In our study, we used all soft-tissue grafts for autografts and allografts. We preferred the smaller size hamstring tendon graft as autografts and the larger size ATT as allografts. The same rehabilitation program was used for all patients who received autografts or allografts. Progressive rehabilitation was started in the early postoperative period in both groups. However, there was no significant difference between autograft and allograft groups in terms of final follow-up results and graft insufficiency. The size of the graft is important in ACL reconstruction. One study showed that the larger graft diameter was associated with lower meniscal stress, decreased joint laxity, and less articular cartilage contact stress.12) In the study, 5-mm-diameter grafts exhibited 30% more anteroposterior translation than 9-mm grafts. The data of the study suggest that an increased graft size confers a biomechanical advantage in the ACL-reconstructed knees. In addition, the smaller the graft size, the higher the rate of revision.1323) Revision rate decreases 0.82 times per 0.5-mm graft diameter increase between 7-mm and 9-mm graft diameter.13) Small graft diameter also adversely affects clinical outcomes.11) Therefore, current studies suggest that increased graft size provides both biomechanical advantages and better functional and clinical outcomes in the ACL reconstructed knees.1124) ACL reconstruction with 8-mm and larger diameter grafts reduces the risk of failure. In a study by Conte et al.,11) the failure rate was higher in reconstructions performed with grafts below 8 mm in diameter, especially in patients under 20 years of age. Besides the higher revision rate, the smaller graft size was a predictor of poorer functional score at 2 years after primary ACL reconstruction in a study by Magnussen et al.23) There are not enough studies evaluating the effect of graft size on the results of ACL reconstruction in the literature. Some studies compared autografts with different diameters,11121324) but there is no study on the allograft size in the literature. Several studies have reported the average diameter of the 4-strand hamstring tendon grafts to be between 7.7 mm and 8.5 mm.142526) The 4-strand hamstring tendon graft can be small in some patients, which increases the risk of failure and worse results after reconstruction. Thus, surgeons apply various methods to increase the graft size either by using the hamstring tendon of the other healthy extremity or by augmenting with the tendon graft from another part of the body. Some surgeons increase the size of these grafts by augmentation with allografts. However, it has been demonstrated in the literature that augmentation with allografts increases the risk of graft failure and retear rates.15) In studies on autograft augmentation with allografts, it was found that the purity of the autograft was more important than the size. According to the KT-1000 test scores, autografts were significantly superior to hybrid grafts. It has been reported that increasing the size of autografts with allografts is meaningless.2728) The graft diameter can be determined preoperatively in allograft ACL reconstruction. Surgeons prefer large diameter grafts to small diameter grafts in ACL reconstruction. We included patients who underwent ACL reconstruction with 10 mm and 11 mm diameter ATT allografts. In the autograft group, we included patients who underwent ACL reconstruction with a 4-stranded hamstring tendon graft with a diameter of 8 mm or less. However, we could not find any significant difference between the 2 groups in terms of inadequacy, rerupture, and final follow-up functional results. Although allografts were significantly larger than autografts, we did not see the positive effects of larger size grafts as described in the literature. Studies have shown that allografts and autografts undergo a similar remodeling sequence, which consists of graft necrosis, cellular repopulation, revascularization, and collagen remodeling. Allografts and autografts have similar phases during their biologic incorporation, but these processes may proceed at a slower rate in allografts than in autografts.1629) We think that this slow biological incorporation in allografts causes negative effects on the results. Therefore, smaller size autografts will give as good results as larger allografts. We evaluated the early results of ACL reconstruction with a small sample size in this retrospective study; late results were not evaluated. If ACL reconstruction with larger size autografts and smaller size allografts had been included, the importance of this study would have been increased.
Background: A small autograft diameter negatively affects functional outcomes, knee stability, and the risk of rerupture after anterior cruciate ligament (ACL) reconstruction, whereas the strength of allograft decreases over time. Therefore, it is not clear whether the use of smaller autografts or the use of larger allografts in ACL yields better results. The aim of this study was to compare the outcome of smaller autografts and larger allografts for ACL reconstruction. Methods: Fifty-one patients who underwent ACL reconstruction with hamstring tendon autografts (size ≤ 8 mm) and 21 patients who underwent ACL reconstruction with allografts (size ≥ 10 mm) were included in our study. All patients underwent the same aggressive early postoperative rehabilitation program. There were no significant differences between the autograft and allograft groups regarding the preoperative patient age, sex, time from injury to surgery, and average follow-up time. Results: The mean diameter of the 4-stranded hamstring tendon grafts used as autografts was 7.48 ± 0.33 mm and the mean diameter of the allografts was 10.76 ± 0.67 mm. According to specific tests for the ACL (anterior drawer, Lachman, and pivot shift) and clinical evaluation tests (Lysholm knee scoring scale and International Knee Documentation Committee questionnaire), the final follow-up results were significantly better than the preoperative status in both autograft and allograft ACL reconstruction groups. Therefore, there were no significant differences between the autograft and allograft groups preoperatively and at the final follow-up. Conclusions: The large size of the graft in ACL reconstruction has been reported to affect results positively. However, in our study, we could not find any significant differences between the smaller size autografts and larger size allografts in terms of inadequacy, rerupture, and final follow-up functional results. Although allografts were significantly larger than autografts, we did not have the positive effect of larger size grafts. Smaller size autografts were as effective as the larger size allografts.
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[ "graft", "autografts", "allografts", "acl", "size", "reconstruction", "mm", "patients", "results", "diameter" ]
[ "acl grafts grafts", "allografts common acl", "acl reconstruction hamstring", "preoperatively allograft acl", "acl reconstructed knees" ]
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[CONTENT] Anterior cruciate ligament injury | Graft size | Allograft | Autograft [SUMMARY]
[CONTENT] Anterior cruciate ligament injury | Graft size | Allograft | Autograft [SUMMARY]
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[CONTENT] Anterior cruciate ligament injury | Graft size | Allograft | Autograft [SUMMARY]
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[CONTENT] Allografts | Anterior Cruciate Ligament Reconstruction | Autografts | Female | Hamstring Tendons | Humans | Lysholm Knee Score | Male | Retrospective Studies [SUMMARY]
[CONTENT] Allografts | Anterior Cruciate Ligament Reconstruction | Autografts | Female | Hamstring Tendons | Humans | Lysholm Knee Score | Male | Retrospective Studies [SUMMARY]
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[CONTENT] Allografts | Anterior Cruciate Ligament Reconstruction | Autografts | Female | Hamstring Tendons | Humans | Lysholm Knee Score | Male | Retrospective Studies [SUMMARY]
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[CONTENT] acl grafts grafts | allografts common acl | acl reconstruction hamstring | preoperatively allograft acl | acl reconstructed knees [SUMMARY]
[CONTENT] acl grafts grafts | allografts common acl | acl reconstruction hamstring | preoperatively allograft acl | acl reconstructed knees [SUMMARY]
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[CONTENT] acl grafts grafts | allografts common acl | acl reconstruction hamstring | preoperatively allograft acl | acl reconstructed knees [SUMMARY]
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[CONTENT] graft | autografts | allografts | acl | size | reconstruction | mm | patients | results | diameter [SUMMARY]
[CONTENT] graft | autografts | allografts | acl | size | reconstruction | mm | patients | results | diameter [SUMMARY]
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[CONTENT] graft | autografts | allografts | acl | size | reconstruction | mm | patients | results | diameter [SUMMARY]
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[CONTENT] exercises | patients | phase | phase exercises | week | postoperative week | postoperative | started | surgery | motion [SUMMARY]
[CONTENT] groups | results | follow | mean | final follow | final | preoperative | differences groups | significant differences groups | allograft [SUMMARY]
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[CONTENT] results | autografts | allografts | size | follow | graft | groups | acl | patients | diameter [SUMMARY]
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[CONTENT] Fifty-one | ACL | 21 | ACL | ≥ | 10 mm ||| ||| [SUMMARY]
[CONTENT] 4 | 7.48 | 0.33 mm | 10.76 | 0.67 mm ||| ACL | Lachman | International Knee Documentation Committee | ACL ||| [SUMMARY]
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[CONTENT] ACL ||| ACL ||| ACL ||| Fifty-one | ACL | 21 | ACL | ≥ | 10 mm ||| ||| ||| 4 | 7.48 | 0.33 mm | 10.76 | 0.67 mm ||| ACL | Lachman | International Knee Documentation Committee | ACL ||| ||| ACL ||| ||| ||| [SUMMARY]
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Male Sex Is a Significant Predictor of All-cause Mortality in Patients with Antineutrophil Cytoplasmic Antibody-associated Vasculitis.
33975396
We investigated and compared the initial clinical features at diagnosis and the poor outcomes during follow-up in Korean patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) based on sex.
BACKGROUND
The medical records of 223 immunosuppressive drug-naïve patients with AAV were reviewed. Age, body mass index (BMI), smoking history, AAV subtypes, ANCA positivity, clinical manifestations, Birmingham vasculitis activity score (BVAS), five-factor score (FFS), erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) at diagnosis were collected. All-cause mortality, end-stage renal disease (ESRD), cerebrovascular accident (CVA) and cardiovascular disease (CVD) were assessed as the poor outcomes of AAV during follow-up.
METHODS
The median age was 59.0 years and 74 of 223 AAV patients (33.2%) were men. Among variables at diagnosis, male patients exhibited higher BMI than female. However, there were no differences in other demographic data, AAV subtypes, ANCA positivity, BVAS, FFS, ESR and CRP between the two groups. Male patients received cyclophosphamide more frequently, but there were no significant differences in the frequencies of the poor outcomes of AAV between the two groups. Male patients exhibited a significantly lower cumulative patients' survival rate than female patients during the follow-up period based on all-cause mortality (P = 0.037). In the multivariable analysis, both male sex (hazard ratio [HR], 2.378) and FFS (HR, 1.693) at diagnosis were significantly and independently associated with all-cause mortality during follow-up.
RESULTS
Male sex is a significant and independent predictor of all-cause mortality in AAV patients.
CONCLUSION
[ "Aged", "Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis", "Blood Sedimentation", "Body Mass Index", "C-Reactive Protein", "Cardiovascular Diseases", "Female", "Humans", "Kidney Failure, Chronic", "Male", "Middle Aged", "Sex Factors", "Stroke", "Survival Rate" ]
8111045
INTRODUCTION
Based on the 2012 revised international Chapel Hill Consensus Conference nomenclature of vasculitides, antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) has currently been defined as the necrotising vasculitis without definite immune-complex deposition. AAV primarily affects small vessels, including small intraparenchymal arteries, arterioles, capillaries and venules and occasionally medium-sized arteries and veins.1 In addition, AAV can be further classified three subtypes based on pathogenesis, histological findings, clinical symptoms and signs and laboratory results such as microscopic polyangiitis (MPA), granulomatosis with polyangiitis (GPA) and eosinophilic GPA (EGPA).12 Each systemic vasculitis has its own typical sex difference in the incidence: for instance, among large vessel vasculitis, giant cell arteritis has the male to female ratio of 1:3, whereas Takayasu arteritis has the male to female ratio of 1:9.3 Moreover, each systemic vasculitis has a sex differences in the clinical features: for instance, with regard to Korean patients with Behcet's disease, female patients exhibited more frequently genital ulcers, peripheral arthritis, and inflammatory low back pain, whereas male patients showed a higher frequency of skin lesions.4 There was a previous study pertaining to the sex difference in AAV patients, which reported that male patients were vulnerable to the progression to end-stage renal disease (ESRD) compared to female patients. However, this study included only ANCA-positive AAV patients with histologically proven pauci-immune necrotising glomerulonephritis. For this reason, the results could not be generalised to all AAV patients.5 Also, given the ethnic and geographical differences affecting both the clinical manifestation and the poor outcomes of AAV, a need for a study investigating the sex difference in Korean patients with AAV is still raised but there has been no study on it to date. Hence, in this study, we investigated and compared the initial clinical features at diagnosis and the poor outcomes during follow-up in Korean patients with AAV based on sex.
METHODS
Patients The medical records of 223 immunosuppressive drug-naïve patients with AAV were reviewed. They had been initially diagnosed or reclassified as AAV at the Division of Rheumatology, the Department of Internal Medicine, Yonsei University College of Medicine, Severance Hospital, from October 2000 to March 2020. All patients met the 2007 European medicines Agency algorithm for polyarteritis nodosa and AAV as well as the 2012 revised International Chapel Hill Consensus Conference Nomenclature of Vasculitides.12 All patients had the medical records well-documented enough to either collect or assess AAV-specific indices including Birmingham vasculitis activity score (BVAS) version 3 and five-factor score (FFS).67 They had the initial results of ANCA by both an indirect immunofluorescence assay (IFA) for perinuclear (P)-ANCA and cytoplasmic (C)-ANCA and an antigen-specific assay for myeloperoxidase (MPO)-ANCA and proteinase 3 (PR3)-ANCA. Patients negative by antigen-specific assay but positive for ANCA by IFA were considered to have MPO-ANCA or PR3-ANCA when AAV was strongly suspected by the clinical and laboratory features.8 Patients, who had serious medical conditions mimicking the clinical features of AAV at diagnosis such as malignancies, infectious diseases and autoimmune diseases other than AAV, were excluded from this study. In addition, patients, who had been received immunosuppressive drugs prior to diagnosis, were also excluded. All patients had been followed up for at least more than 3 months from the time of diagnosis. The medical records of 223 immunosuppressive drug-naïve patients with AAV were reviewed. They had been initially diagnosed or reclassified as AAV at the Division of Rheumatology, the Department of Internal Medicine, Yonsei University College of Medicine, Severance Hospital, from October 2000 to March 2020. All patients met the 2007 European medicines Agency algorithm for polyarteritis nodosa and AAV as well as the 2012 revised International Chapel Hill Consensus Conference Nomenclature of Vasculitides.12 All patients had the medical records well-documented enough to either collect or assess AAV-specific indices including Birmingham vasculitis activity score (BVAS) version 3 and five-factor score (FFS).67 They had the initial results of ANCA by both an indirect immunofluorescence assay (IFA) for perinuclear (P)-ANCA and cytoplasmic (C)-ANCA and an antigen-specific assay for myeloperoxidase (MPO)-ANCA and proteinase 3 (PR3)-ANCA. Patients negative by antigen-specific assay but positive for ANCA by IFA were considered to have MPO-ANCA or PR3-ANCA when AAV was strongly suspected by the clinical and laboratory features.8 Patients, who had serious medical conditions mimicking the clinical features of AAV at diagnosis such as malignancies, infectious diseases and autoimmune diseases other than AAV, were excluded from this study. In addition, patients, who had been received immunosuppressive drugs prior to diagnosis, were also excluded. All patients had been followed up for at least more than 3 months from the time of diagnosis. Clinical and laboratory data at diagnosis and during follow-up In terms of variables at diagnosis, sex, age, body mass index (BMI) and smoking history were collected as demographic data. AAV subtypes, ANCA positivity, clinical features based on BVAS items,6 and AAV-specific indices were obtained. As acute-phase reactants, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) were also obtained. In terms of variables during follow-up, all-cause mortality, ESRD, cerebrovascular accident (CVA) and cardiovascular disease (CVD) were assessed as the poor outcomes of AAV. ESRD was defined as the status requiring for renal replacement therapy due to estimated glomerular filtration rate of less than 15 mL/min/1.73m2.5 On the basis of sub-items of cardiovascular and nervous systemic items of BVAS,6 CVA was defined as both ischaemic and haemorrhagic strokes, whereas CVD was defined as loss of pulses, vascular heart disease, pericarditis, ischaemic cardiac pain, cardiomyopathy and congestive cardiac failure. Since all patients were classified as AAV in our institute and most of them have been followed up, we could easily access the medical record in our institute to obtain data on the date of death and the first date of diagnosis of ESRD, CVA and CVD. In addition, information regarding all-cause mortality, ESRD, CVA and CVD in patients, who were not followed up in our institute, could be obtained by the Korean National Health Insurance Service system. The follow-up period based on all-cause mortality was defined as the periods from the time of diagnosis of AAV to the death for deceased patients, and those to the last visit for survived patients. On the other hand, the follow-up periods based on ESRD, CVA and CVD were also defined as the periods from diagnosis to either the first renal-replacement, the first diagnoses of CVA or that of CVD, respectively. We counted the number of patients who received each drug among glucocorticoid and immunosuppressive drugs. In terms of variables at diagnosis, sex, age, body mass index (BMI) and smoking history were collected as demographic data. AAV subtypes, ANCA positivity, clinical features based on BVAS items,6 and AAV-specific indices were obtained. As acute-phase reactants, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) were also obtained. In terms of variables during follow-up, all-cause mortality, ESRD, cerebrovascular accident (CVA) and cardiovascular disease (CVD) were assessed as the poor outcomes of AAV. ESRD was defined as the status requiring for renal replacement therapy due to estimated glomerular filtration rate of less than 15 mL/min/1.73m2.5 On the basis of sub-items of cardiovascular and nervous systemic items of BVAS,6 CVA was defined as both ischaemic and haemorrhagic strokes, whereas CVD was defined as loss of pulses, vascular heart disease, pericarditis, ischaemic cardiac pain, cardiomyopathy and congestive cardiac failure. Since all patients were classified as AAV in our institute and most of them have been followed up, we could easily access the medical record in our institute to obtain data on the date of death and the first date of diagnosis of ESRD, CVA and CVD. In addition, information regarding all-cause mortality, ESRD, CVA and CVD in patients, who were not followed up in our institute, could be obtained by the Korean National Health Insurance Service system. The follow-up period based on all-cause mortality was defined as the periods from the time of diagnosis of AAV to the death for deceased patients, and those to the last visit for survived patients. On the other hand, the follow-up periods based on ESRD, CVA and CVD were also defined as the periods from diagnosis to either the first renal-replacement, the first diagnoses of CVA or that of CVD, respectively. We counted the number of patients who received each drug among glucocorticoid and immunosuppressive drugs. Statistical analyses All statistical analyses were conducted using SPSS software (version 23 for Windows; IBM Corp., Armonk, NY, USA). Continuous variables were expressed as a mean ± standard deviation, and categorical variables were expressed as number and the percentage. Significant differences in categorical variables between the two groups were analysed using the χ2 and Fisher's exact tests. Significant differences in continuous variables between the two groups were compared using the Mann-Whitney test. Comparison of the cumulative survivals rates between the two groups was analysed by the Kaplan-Meier survival analysis with the log-rank test. The multivariable Cox hazard model using variables with statistical significance in the univariable Cox hazard model was conducted to appropriately obtain the hazard ratios (HRs) during the considerable follow-up period. P values less than 0.05 were considered statistically significant. All statistical analyses were conducted using SPSS software (version 23 for Windows; IBM Corp., Armonk, NY, USA). Continuous variables were expressed as a mean ± standard deviation, and categorical variables were expressed as number and the percentage. Significant differences in categorical variables between the two groups were analysed using the χ2 and Fisher's exact tests. Significant differences in continuous variables between the two groups were compared using the Mann-Whitney test. Comparison of the cumulative survivals rates between the two groups was analysed by the Kaplan-Meier survival analysis with the log-rank test. The multivariable Cox hazard model using variables with statistical significance in the univariable Cox hazard model was conducted to appropriately obtain the hazard ratios (HRs) during the considerable follow-up period. P values less than 0.05 were considered statistically significant. Ethics statement This study was approved by the Institutional Review Board (IRB) of Severance Hospital (4-2017-0673), and the patient's written informed consent was waived by the approving IRB, as this was a retrospective study. This study was approved by the Institutional Review Board (IRB) of Severance Hospital (4-2017-0673), and the patient's written informed consent was waived by the approving IRB, as this was a retrospective study.
RESULTS
Comparison of variables at diagnosis The median age was 59.0 years and 74 of 223 AAV patients (64.8%) were men. AAV patients were divided into two groups based on sex and variables at diagnosis were compared between the two groups. Male patients exhibited a higher median BMI than female patients (23.2 vs. 22.0 kg/m2, P = 0.004). Age, smoking history, AAV subtypes, ANCA positivity and the clinical features based on BVAS items did not significantly differ between male and female patients. Also, there were no significant differences in AAV-specific indices and acute-phase reactants between the two groups (Table 1). Values are expressed as a median (interquartile range) or number (%). ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic granulomatosis with polyangiitis, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein. The median age was 59.0 years and 74 of 223 AAV patients (64.8%) were men. AAV patients were divided into two groups based on sex and variables at diagnosis were compared between the two groups. Male patients exhibited a higher median BMI than female patients (23.2 vs. 22.0 kg/m2, P = 0.004). Age, smoking history, AAV subtypes, ANCA positivity and the clinical features based on BVAS items did not significantly differ between male and female patients. Also, there were no significant differences in AAV-specific indices and acute-phase reactants between the two groups (Table 1). Values are expressed as a median (interquartile range) or number (%). ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic granulomatosis with polyangiitis, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein. Comparison of variables during follow-up With regard to the poor outcomes of AAV, there were no significant differences in the frequencies of the poor outcomes of AAV between the two groups. Among glucocorticoid and immunosuppressive drugs administered during follow-up, male patients received cyclophosphamide more frequently compared to female patients (62.2% vs. 44.3%, P = 0.012) (Table 2). Values are expressed as amedian (interquartile range) or number (%). ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease. With regard to the poor outcomes of AAV, there were no significant differences in the frequencies of the poor outcomes of AAV between the two groups. Among glucocorticoid and immunosuppressive drugs administered during follow-up, male patients received cyclophosphamide more frequently compared to female patients (62.2% vs. 44.3%, P = 0.012) (Table 2). Values are expressed as amedian (interquartile range) or number (%). ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease. Comparison of cumulative survival rates Among the four poor outcomes of AAV, male patients exhibited a significantly lower cumulative patients' survival rate than female patients during the follow-up period based on all-cause mortality (P = 0.037). Meanwhile, male patients tended to have a lower CVD-free survival rate compared to female patients but it did not reach statistical significance (P = 0.057) (Fig. 1). Among all-cause mortality, ESRD, CVA and CVD, only a cumulative patients' survival rate diffed between male and female AAV patients. Male patients exhibited a significantly lower cumulative patients' survival rate than female patients. ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease. Among the four poor outcomes of AAV, male patients exhibited a significantly lower cumulative patients' survival rate than female patients during the follow-up period based on all-cause mortality (P = 0.037). Meanwhile, male patients tended to have a lower CVD-free survival rate compared to female patients but it did not reach statistical significance (P = 0.057) (Fig. 1). Among all-cause mortality, ESRD, CVA and CVD, only a cumulative patients' survival rate diffed between male and female AAV patients. Male patients exhibited a significantly lower cumulative patients' survival rate than female patients. ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease. Cox hazard model analyses In the univariable analysis, age (HR, 1.055), male sex (HR, 2.264), smoking history (HR, 6.052), BVAS (HR, 1.096) and FFS (HR, 2.142) at diagnosis were significantly associated with all-cause mortality during follow-up. In the multivariable analysis, both male sex (HR, 2.378; 95% confidence interval [CI], 1.050–5.384) and FFS (HR, 1.693; 95% CI, 1.071–2.676) at diagnosis were significantly and independently associated with all-cause mortality during follow-up (Table 3). ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, HR = hazard ratio, CI = confidence interval, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic GPA, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein. In the univariable analysis, age (HR, 1.055), male sex (HR, 2.264), smoking history (HR, 6.052), BVAS (HR, 1.096) and FFS (HR, 2.142) at diagnosis were significantly associated with all-cause mortality during follow-up. In the multivariable analysis, both male sex (HR, 2.378; 95% confidence interval [CI], 1.050–5.384) and FFS (HR, 1.693; 95% CI, 1.071–2.676) at diagnosis were significantly and independently associated with all-cause mortality during follow-up (Table 3). ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, HR = hazard ratio, CI = confidence interval, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic GPA, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein.
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[ "Patients", "Clinical and laboratory data at diagnosis and during follow-up", "Statistical analyses", "Ethics statement", "Comparison of variables at diagnosis", "Comparison of variables during follow-up", "Comparison of cumulative survival rates", "Cox hazard model analyses" ]
[ "The medical records of 223 immunosuppressive drug-naïve patients with AAV were reviewed. They had been initially diagnosed or reclassified as AAV at the Division of Rheumatology, the Department of Internal Medicine, Yonsei University College of Medicine, Severance Hospital, from October 2000 to March 2020. All patients met the 2007 European medicines Agency algorithm for polyarteritis nodosa and AAV as well as the 2012 revised International Chapel Hill Consensus Conference Nomenclature of Vasculitides.12 All patients had the medical records well-documented enough to either collect or assess AAV-specific indices including Birmingham vasculitis activity score (BVAS) version 3 and five-factor score (FFS).67 They had the initial results of ANCA by both an indirect immunofluorescence assay (IFA) for perinuclear (P)-ANCA and cytoplasmic (C)-ANCA and an antigen-specific assay for myeloperoxidase (MPO)-ANCA and proteinase 3 (PR3)-ANCA. Patients negative by antigen-specific assay but positive for ANCA by IFA were considered to have MPO-ANCA or PR3-ANCA when AAV was strongly suspected by the clinical and laboratory features.8 Patients, who had serious medical conditions mimicking the clinical features of AAV at diagnosis such as malignancies, infectious diseases and autoimmune diseases other than AAV, were excluded from this study. In addition, patients, who had been received immunosuppressive drugs prior to diagnosis, were also excluded. All patients had been followed up for at least more than 3 months from the time of diagnosis.", "In terms of variables at diagnosis, sex, age, body mass index (BMI) and smoking history were collected as demographic data. AAV subtypes, ANCA positivity, clinical features based on BVAS items,6 and AAV-specific indices were obtained. As acute-phase reactants, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) were also obtained. In terms of variables during follow-up, all-cause mortality, ESRD, cerebrovascular accident (CVA) and cardiovascular disease (CVD) were assessed as the poor outcomes of AAV. ESRD was defined as the status requiring for renal replacement therapy due to estimated glomerular filtration rate of less than 15 mL/min/1.73m2.5 On the basis of sub-items of cardiovascular and nervous systemic items of BVAS,6 CVA was defined as both ischaemic and haemorrhagic strokes, whereas CVD was defined as loss of pulses, vascular heart disease, pericarditis, ischaemic cardiac pain, cardiomyopathy and congestive cardiac failure. Since all patients were classified as AAV in our institute and most of them have been followed up, we could easily access the medical record in our institute to obtain data on the date of death and the first date of diagnosis of ESRD, CVA and CVD. In addition, information regarding all-cause mortality, ESRD, CVA and CVD in patients, who were not followed up in our institute, could be obtained by the Korean National Health Insurance Service system. The follow-up period based on all-cause mortality was defined as the periods from the time of diagnosis of AAV to the death for deceased patients, and those to the last visit for survived patients. On the other hand, the follow-up periods based on ESRD, CVA and CVD were also defined as the periods from diagnosis to either the first renal-replacement, the first diagnoses of CVA or that of CVD, respectively. We counted the number of patients who received each drug among glucocorticoid and immunosuppressive drugs.", "All statistical analyses were conducted using SPSS software (version 23 for Windows; IBM Corp., Armonk, NY, USA). Continuous variables were expressed as a mean ± standard deviation, and categorical variables were expressed as number and the percentage. Significant differences in categorical variables between the two groups were analysed using the χ2 and Fisher's exact tests. Significant differences in continuous variables between the two groups were compared using the Mann-Whitney test. Comparison of the cumulative survivals rates between the two groups was analysed by the Kaplan-Meier survival analysis with the log-rank test. The multivariable Cox hazard model using variables with statistical significance in the univariable Cox hazard model was conducted to appropriately obtain the hazard ratios (HRs) during the considerable follow-up period. P values less than 0.05 were considered statistically significant.", "This study was approved by the Institutional Review Board (IRB) of Severance Hospital (4-2017-0673), and the patient's written informed consent was waived by the approving IRB, as this was a retrospective study.", "The median age was 59.0 years and 74 of 223 AAV patients (64.8%) were men. AAV patients were divided into two groups based on sex and variables at diagnosis were compared between the two groups. Male patients exhibited a higher median BMI than female patients (23.2 vs. 22.0 kg/m2, P = 0.004). Age, smoking history, AAV subtypes, ANCA positivity and the clinical features based on BVAS items did not significantly differ between male and female patients. Also, there were no significant differences in AAV-specific indices and acute-phase reactants between the two groups (Table 1).\nValues are expressed as a median (interquartile range) or number (%).\nANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic granulomatosis with polyangiitis, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein.", "With regard to the poor outcomes of AAV, there were no significant differences in the frequencies of the poor outcomes of AAV between the two groups. Among glucocorticoid and immunosuppressive drugs administered during follow-up, male patients received cyclophosphamide more frequently compared to female patients (62.2% vs. 44.3%, P = 0.012) (Table 2).\nValues are expressed as amedian (interquartile range) or number (%).\nANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease.", "Among the four poor outcomes of AAV, male patients exhibited a significantly lower cumulative patients' survival rate than female patients during the follow-up period based on all-cause mortality (P = 0.037). Meanwhile, male patients tended to have a lower CVD-free survival rate compared to female patients but it did not reach statistical significance (P = 0.057) (Fig. 1).\nAmong all-cause mortality, ESRD, CVA and CVD, only a cumulative patients' survival rate diffed between male and female AAV patients. Male patients exhibited a significantly lower cumulative patients' survival rate than female patients.\nANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease.", "In the univariable analysis, age (HR, 1.055), male sex (HR, 2.264), smoking history (HR, 6.052), BVAS (HR, 1.096) and FFS (HR, 2.142) at diagnosis were significantly associated with all-cause mortality during follow-up. In the multivariable analysis, both male sex (HR, 2.378; 95% confidence interval [CI], 1.050–5.384) and FFS (HR, 1.693; 95% CI, 1.071–2.676) at diagnosis were significantly and independently associated with all-cause mortality during follow-up (Table 3).\nANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, HR = hazard ratio, CI = confidence interval, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic GPA, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein." ]
[ null, null, null, null, null, null, null, null ]
[ "INTRODUCTION", "METHODS", "Patients", "Clinical and laboratory data at diagnosis and during follow-up", "Statistical analyses", "Ethics statement", "RESULTS", "Comparison of variables at diagnosis", "Comparison of variables during follow-up", "Comparison of cumulative survival rates", "Cox hazard model analyses", "DISCUSSION" ]
[ "Based on the 2012 revised international Chapel Hill Consensus Conference nomenclature of vasculitides, antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) has currently been defined as the necrotising vasculitis without definite immune-complex deposition. AAV primarily affects small vessels, including small intraparenchymal arteries, arterioles, capillaries and venules and occasionally medium-sized arteries and veins.1 In addition, AAV can be further classified three subtypes based on pathogenesis, histological findings, clinical symptoms and signs and laboratory results such as microscopic polyangiitis (MPA), granulomatosis with polyangiitis (GPA) and eosinophilic GPA (EGPA).12\nEach systemic vasculitis has its own typical sex difference in the incidence: for instance, among large vessel vasculitis, giant cell arteritis has the male to female ratio of 1:3, whereas Takayasu arteritis has the male to female ratio of 1:9.3 Moreover, each systemic vasculitis has a sex differences in the clinical features: for instance, with regard to Korean patients with Behcet's disease, female patients exhibited more frequently genital ulcers, peripheral arthritis, and inflammatory low back pain, whereas male patients showed a higher frequency of skin lesions.4 There was a previous study pertaining to the sex difference in AAV patients, which reported that male patients were vulnerable to the progression to end-stage renal disease (ESRD) compared to female patients. However, this study included only ANCA-positive AAV patients with histologically proven pauci-immune necrotising glomerulonephritis. For this reason, the results could not be generalised to all AAV patients.5 Also, given the ethnic and geographical differences affecting both the clinical manifestation and the poor outcomes of AAV, a need for a study investigating the sex difference in Korean patients with AAV is still raised but there has been no study on it to date. Hence, in this study, we investigated and compared the initial clinical features at diagnosis and the poor outcomes during follow-up in Korean patients with AAV based on sex.", "Patients The medical records of 223 immunosuppressive drug-naïve patients with AAV were reviewed. They had been initially diagnosed or reclassified as AAV at the Division of Rheumatology, the Department of Internal Medicine, Yonsei University College of Medicine, Severance Hospital, from October 2000 to March 2020. All patients met the 2007 European medicines Agency algorithm for polyarteritis nodosa and AAV as well as the 2012 revised International Chapel Hill Consensus Conference Nomenclature of Vasculitides.12 All patients had the medical records well-documented enough to either collect or assess AAV-specific indices including Birmingham vasculitis activity score (BVAS) version 3 and five-factor score (FFS).67 They had the initial results of ANCA by both an indirect immunofluorescence assay (IFA) for perinuclear (P)-ANCA and cytoplasmic (C)-ANCA and an antigen-specific assay for myeloperoxidase (MPO)-ANCA and proteinase 3 (PR3)-ANCA. Patients negative by antigen-specific assay but positive for ANCA by IFA were considered to have MPO-ANCA or PR3-ANCA when AAV was strongly suspected by the clinical and laboratory features.8 Patients, who had serious medical conditions mimicking the clinical features of AAV at diagnosis such as malignancies, infectious diseases and autoimmune diseases other than AAV, were excluded from this study. In addition, patients, who had been received immunosuppressive drugs prior to diagnosis, were also excluded. All patients had been followed up for at least more than 3 months from the time of diagnosis.\nThe medical records of 223 immunosuppressive drug-naïve patients with AAV were reviewed. They had been initially diagnosed or reclassified as AAV at the Division of Rheumatology, the Department of Internal Medicine, Yonsei University College of Medicine, Severance Hospital, from October 2000 to March 2020. All patients met the 2007 European medicines Agency algorithm for polyarteritis nodosa and AAV as well as the 2012 revised International Chapel Hill Consensus Conference Nomenclature of Vasculitides.12 All patients had the medical records well-documented enough to either collect or assess AAV-specific indices including Birmingham vasculitis activity score (BVAS) version 3 and five-factor score (FFS).67 They had the initial results of ANCA by both an indirect immunofluorescence assay (IFA) for perinuclear (P)-ANCA and cytoplasmic (C)-ANCA and an antigen-specific assay for myeloperoxidase (MPO)-ANCA and proteinase 3 (PR3)-ANCA. Patients negative by antigen-specific assay but positive for ANCA by IFA were considered to have MPO-ANCA or PR3-ANCA when AAV was strongly suspected by the clinical and laboratory features.8 Patients, who had serious medical conditions mimicking the clinical features of AAV at diagnosis such as malignancies, infectious diseases and autoimmune diseases other than AAV, were excluded from this study. In addition, patients, who had been received immunosuppressive drugs prior to diagnosis, were also excluded. All patients had been followed up for at least more than 3 months from the time of diagnosis.\nClinical and laboratory data at diagnosis and during follow-up In terms of variables at diagnosis, sex, age, body mass index (BMI) and smoking history were collected as demographic data. AAV subtypes, ANCA positivity, clinical features based on BVAS items,6 and AAV-specific indices were obtained. As acute-phase reactants, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) were also obtained. In terms of variables during follow-up, all-cause mortality, ESRD, cerebrovascular accident (CVA) and cardiovascular disease (CVD) were assessed as the poor outcomes of AAV. ESRD was defined as the status requiring for renal replacement therapy due to estimated glomerular filtration rate of less than 15 mL/min/1.73m2.5 On the basis of sub-items of cardiovascular and nervous systemic items of BVAS,6 CVA was defined as both ischaemic and haemorrhagic strokes, whereas CVD was defined as loss of pulses, vascular heart disease, pericarditis, ischaemic cardiac pain, cardiomyopathy and congestive cardiac failure. Since all patients were classified as AAV in our institute and most of them have been followed up, we could easily access the medical record in our institute to obtain data on the date of death and the first date of diagnosis of ESRD, CVA and CVD. In addition, information regarding all-cause mortality, ESRD, CVA and CVD in patients, who were not followed up in our institute, could be obtained by the Korean National Health Insurance Service system. The follow-up period based on all-cause mortality was defined as the periods from the time of diagnosis of AAV to the death for deceased patients, and those to the last visit for survived patients. On the other hand, the follow-up periods based on ESRD, CVA and CVD were also defined as the periods from diagnosis to either the first renal-replacement, the first diagnoses of CVA or that of CVD, respectively. We counted the number of patients who received each drug among glucocorticoid and immunosuppressive drugs.\nIn terms of variables at diagnosis, sex, age, body mass index (BMI) and smoking history were collected as demographic data. AAV subtypes, ANCA positivity, clinical features based on BVAS items,6 and AAV-specific indices were obtained. As acute-phase reactants, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) were also obtained. In terms of variables during follow-up, all-cause mortality, ESRD, cerebrovascular accident (CVA) and cardiovascular disease (CVD) were assessed as the poor outcomes of AAV. ESRD was defined as the status requiring for renal replacement therapy due to estimated glomerular filtration rate of less than 15 mL/min/1.73m2.5 On the basis of sub-items of cardiovascular and nervous systemic items of BVAS,6 CVA was defined as both ischaemic and haemorrhagic strokes, whereas CVD was defined as loss of pulses, vascular heart disease, pericarditis, ischaemic cardiac pain, cardiomyopathy and congestive cardiac failure. Since all patients were classified as AAV in our institute and most of them have been followed up, we could easily access the medical record in our institute to obtain data on the date of death and the first date of diagnosis of ESRD, CVA and CVD. In addition, information regarding all-cause mortality, ESRD, CVA and CVD in patients, who were not followed up in our institute, could be obtained by the Korean National Health Insurance Service system. The follow-up period based on all-cause mortality was defined as the periods from the time of diagnosis of AAV to the death for deceased patients, and those to the last visit for survived patients. On the other hand, the follow-up periods based on ESRD, CVA and CVD were also defined as the periods from diagnosis to either the first renal-replacement, the first diagnoses of CVA or that of CVD, respectively. We counted the number of patients who received each drug among glucocorticoid and immunosuppressive drugs.\nStatistical analyses All statistical analyses were conducted using SPSS software (version 23 for Windows; IBM Corp., Armonk, NY, USA). Continuous variables were expressed as a mean ± standard deviation, and categorical variables were expressed as number and the percentage. Significant differences in categorical variables between the two groups were analysed using the χ2 and Fisher's exact tests. Significant differences in continuous variables between the two groups were compared using the Mann-Whitney test. Comparison of the cumulative survivals rates between the two groups was analysed by the Kaplan-Meier survival analysis with the log-rank test. The multivariable Cox hazard model using variables with statistical significance in the univariable Cox hazard model was conducted to appropriately obtain the hazard ratios (HRs) during the considerable follow-up period. P values less than 0.05 were considered statistically significant.\nAll statistical analyses were conducted using SPSS software (version 23 for Windows; IBM Corp., Armonk, NY, USA). Continuous variables were expressed as a mean ± standard deviation, and categorical variables were expressed as number and the percentage. Significant differences in categorical variables between the two groups were analysed using the χ2 and Fisher's exact tests. Significant differences in continuous variables between the two groups were compared using the Mann-Whitney test. Comparison of the cumulative survivals rates between the two groups was analysed by the Kaplan-Meier survival analysis with the log-rank test. The multivariable Cox hazard model using variables with statistical significance in the univariable Cox hazard model was conducted to appropriately obtain the hazard ratios (HRs) during the considerable follow-up period. P values less than 0.05 were considered statistically significant.\nEthics statement This study was approved by the Institutional Review Board (IRB) of Severance Hospital (4-2017-0673), and the patient's written informed consent was waived by the approving IRB, as this was a retrospective study.\nThis study was approved by the Institutional Review Board (IRB) of Severance Hospital (4-2017-0673), and the patient's written informed consent was waived by the approving IRB, as this was a retrospective study.", "The medical records of 223 immunosuppressive drug-naïve patients with AAV were reviewed. They had been initially diagnosed or reclassified as AAV at the Division of Rheumatology, the Department of Internal Medicine, Yonsei University College of Medicine, Severance Hospital, from October 2000 to March 2020. All patients met the 2007 European medicines Agency algorithm for polyarteritis nodosa and AAV as well as the 2012 revised International Chapel Hill Consensus Conference Nomenclature of Vasculitides.12 All patients had the medical records well-documented enough to either collect or assess AAV-specific indices including Birmingham vasculitis activity score (BVAS) version 3 and five-factor score (FFS).67 They had the initial results of ANCA by both an indirect immunofluorescence assay (IFA) for perinuclear (P)-ANCA and cytoplasmic (C)-ANCA and an antigen-specific assay for myeloperoxidase (MPO)-ANCA and proteinase 3 (PR3)-ANCA. Patients negative by antigen-specific assay but positive for ANCA by IFA were considered to have MPO-ANCA or PR3-ANCA when AAV was strongly suspected by the clinical and laboratory features.8 Patients, who had serious medical conditions mimicking the clinical features of AAV at diagnosis such as malignancies, infectious diseases and autoimmune diseases other than AAV, were excluded from this study. In addition, patients, who had been received immunosuppressive drugs prior to diagnosis, were also excluded. All patients had been followed up for at least more than 3 months from the time of diagnosis.", "In terms of variables at diagnosis, sex, age, body mass index (BMI) and smoking history were collected as demographic data. AAV subtypes, ANCA positivity, clinical features based on BVAS items,6 and AAV-specific indices were obtained. As acute-phase reactants, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) were also obtained. In terms of variables during follow-up, all-cause mortality, ESRD, cerebrovascular accident (CVA) and cardiovascular disease (CVD) were assessed as the poor outcomes of AAV. ESRD was defined as the status requiring for renal replacement therapy due to estimated glomerular filtration rate of less than 15 mL/min/1.73m2.5 On the basis of sub-items of cardiovascular and nervous systemic items of BVAS,6 CVA was defined as both ischaemic and haemorrhagic strokes, whereas CVD was defined as loss of pulses, vascular heart disease, pericarditis, ischaemic cardiac pain, cardiomyopathy and congestive cardiac failure. Since all patients were classified as AAV in our institute and most of them have been followed up, we could easily access the medical record in our institute to obtain data on the date of death and the first date of diagnosis of ESRD, CVA and CVD. In addition, information regarding all-cause mortality, ESRD, CVA and CVD in patients, who were not followed up in our institute, could be obtained by the Korean National Health Insurance Service system. The follow-up period based on all-cause mortality was defined as the periods from the time of diagnosis of AAV to the death for deceased patients, and those to the last visit for survived patients. On the other hand, the follow-up periods based on ESRD, CVA and CVD were also defined as the periods from diagnosis to either the first renal-replacement, the first diagnoses of CVA or that of CVD, respectively. We counted the number of patients who received each drug among glucocorticoid and immunosuppressive drugs.", "All statistical analyses were conducted using SPSS software (version 23 for Windows; IBM Corp., Armonk, NY, USA). Continuous variables were expressed as a mean ± standard deviation, and categorical variables were expressed as number and the percentage. Significant differences in categorical variables between the two groups were analysed using the χ2 and Fisher's exact tests. Significant differences in continuous variables between the two groups were compared using the Mann-Whitney test. Comparison of the cumulative survivals rates between the two groups was analysed by the Kaplan-Meier survival analysis with the log-rank test. The multivariable Cox hazard model using variables with statistical significance in the univariable Cox hazard model was conducted to appropriately obtain the hazard ratios (HRs) during the considerable follow-up period. P values less than 0.05 were considered statistically significant.", "This study was approved by the Institutional Review Board (IRB) of Severance Hospital (4-2017-0673), and the patient's written informed consent was waived by the approving IRB, as this was a retrospective study.", "Comparison of variables at diagnosis The median age was 59.0 years and 74 of 223 AAV patients (64.8%) were men. AAV patients were divided into two groups based on sex and variables at diagnosis were compared between the two groups. Male patients exhibited a higher median BMI than female patients (23.2 vs. 22.0 kg/m2, P = 0.004). Age, smoking history, AAV subtypes, ANCA positivity and the clinical features based on BVAS items did not significantly differ between male and female patients. Also, there were no significant differences in AAV-specific indices and acute-phase reactants between the two groups (Table 1).\nValues are expressed as a median (interquartile range) or number (%).\nANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic granulomatosis with polyangiitis, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein.\nThe median age was 59.0 years and 74 of 223 AAV patients (64.8%) were men. AAV patients were divided into two groups based on sex and variables at diagnosis were compared between the two groups. Male patients exhibited a higher median BMI than female patients (23.2 vs. 22.0 kg/m2, P = 0.004). Age, smoking history, AAV subtypes, ANCA positivity and the clinical features based on BVAS items did not significantly differ between male and female patients. Also, there were no significant differences in AAV-specific indices and acute-phase reactants between the two groups (Table 1).\nValues are expressed as a median (interquartile range) or number (%).\nANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic granulomatosis with polyangiitis, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein.\nComparison of variables during follow-up With regard to the poor outcomes of AAV, there were no significant differences in the frequencies of the poor outcomes of AAV between the two groups. Among glucocorticoid and immunosuppressive drugs administered during follow-up, male patients received cyclophosphamide more frequently compared to female patients (62.2% vs. 44.3%, P = 0.012) (Table 2).\nValues are expressed as amedian (interquartile range) or number (%).\nANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease.\nWith regard to the poor outcomes of AAV, there were no significant differences in the frequencies of the poor outcomes of AAV between the two groups. Among glucocorticoid and immunosuppressive drugs administered during follow-up, male patients received cyclophosphamide more frequently compared to female patients (62.2% vs. 44.3%, P = 0.012) (Table 2).\nValues are expressed as amedian (interquartile range) or number (%).\nANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease.\nComparison of cumulative survival rates Among the four poor outcomes of AAV, male patients exhibited a significantly lower cumulative patients' survival rate than female patients during the follow-up period based on all-cause mortality (P = 0.037). Meanwhile, male patients tended to have a lower CVD-free survival rate compared to female patients but it did not reach statistical significance (P = 0.057) (Fig. 1).\nAmong all-cause mortality, ESRD, CVA and CVD, only a cumulative patients' survival rate diffed between male and female AAV patients. Male patients exhibited a significantly lower cumulative patients' survival rate than female patients.\nANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease.\nAmong the four poor outcomes of AAV, male patients exhibited a significantly lower cumulative patients' survival rate than female patients during the follow-up period based on all-cause mortality (P = 0.037). Meanwhile, male patients tended to have a lower CVD-free survival rate compared to female patients but it did not reach statistical significance (P = 0.057) (Fig. 1).\nAmong all-cause mortality, ESRD, CVA and CVD, only a cumulative patients' survival rate diffed between male and female AAV patients. Male patients exhibited a significantly lower cumulative patients' survival rate than female patients.\nANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease.\nCox hazard model analyses In the univariable analysis, age (HR, 1.055), male sex (HR, 2.264), smoking history (HR, 6.052), BVAS (HR, 1.096) and FFS (HR, 2.142) at diagnosis were significantly associated with all-cause mortality during follow-up. In the multivariable analysis, both male sex (HR, 2.378; 95% confidence interval [CI], 1.050–5.384) and FFS (HR, 1.693; 95% CI, 1.071–2.676) at diagnosis were significantly and independently associated with all-cause mortality during follow-up (Table 3).\nANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, HR = hazard ratio, CI = confidence interval, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic GPA, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein.\nIn the univariable analysis, age (HR, 1.055), male sex (HR, 2.264), smoking history (HR, 6.052), BVAS (HR, 1.096) and FFS (HR, 2.142) at diagnosis were significantly associated with all-cause mortality during follow-up. In the multivariable analysis, both male sex (HR, 2.378; 95% confidence interval [CI], 1.050–5.384) and FFS (HR, 1.693; 95% CI, 1.071–2.676) at diagnosis were significantly and independently associated with all-cause mortality during follow-up (Table 3).\nANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, HR = hazard ratio, CI = confidence interval, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic GPA, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein.", "The median age was 59.0 years and 74 of 223 AAV patients (64.8%) were men. AAV patients were divided into two groups based on sex and variables at diagnosis were compared between the two groups. Male patients exhibited a higher median BMI than female patients (23.2 vs. 22.0 kg/m2, P = 0.004). Age, smoking history, AAV subtypes, ANCA positivity and the clinical features based on BVAS items did not significantly differ between male and female patients. Also, there were no significant differences in AAV-specific indices and acute-phase reactants between the two groups (Table 1).\nValues are expressed as a median (interquartile range) or number (%).\nANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic granulomatosis with polyangiitis, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein.", "With regard to the poor outcomes of AAV, there were no significant differences in the frequencies of the poor outcomes of AAV between the two groups. Among glucocorticoid and immunosuppressive drugs administered during follow-up, male patients received cyclophosphamide more frequently compared to female patients (62.2% vs. 44.3%, P = 0.012) (Table 2).\nValues are expressed as amedian (interquartile range) or number (%).\nANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease.", "Among the four poor outcomes of AAV, male patients exhibited a significantly lower cumulative patients' survival rate than female patients during the follow-up period based on all-cause mortality (P = 0.037). Meanwhile, male patients tended to have a lower CVD-free survival rate compared to female patients but it did not reach statistical significance (P = 0.057) (Fig. 1).\nAmong all-cause mortality, ESRD, CVA and CVD, only a cumulative patients' survival rate diffed between male and female AAV patients. Male patients exhibited a significantly lower cumulative patients' survival rate than female patients.\nANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease.", "In the univariable analysis, age (HR, 1.055), male sex (HR, 2.264), smoking history (HR, 6.052), BVAS (HR, 1.096) and FFS (HR, 2.142) at diagnosis were significantly associated with all-cause mortality during follow-up. In the multivariable analysis, both male sex (HR, 2.378; 95% confidence interval [CI], 1.050–5.384) and FFS (HR, 1.693; 95% CI, 1.071–2.676) at diagnosis were significantly and independently associated with all-cause mortality during follow-up (Table 3).\nANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, HR = hazard ratio, CI = confidence interval, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic GPA, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein.", "In this study comparing the clinical features based on the sex difference in AAV patients, we discovered the following three new findings. First, at the time of diagnosis, the clinical features and laboratory related to AAV, such as AAV subtypes, ANCA positivity, clinical manifestations and AAV-specific indices, did not significantly differ between male and female patients. Second, during the follow-up period, male patients exhibited a significantly lower cumulative patients' survival rate compared to female patients. Third, male sex together with FFS was proved to be an independent predictor of all-cause mortality during the follow-up period in AAV patients.\nOnly male sex itself does not seem to simply increase the rate of all-cause mortality in this study. A previous study reported introduced dietary risks, tobacco smoking, high BMI, high blood pressure and high fasting plasma glucose as the most common risk factors for mortality. However, male sex itself was not clearly defined as a primary risk factor for mortality.9 Another previous study denied the fact that the life expectancy of men was meaningfully lower than that of women. Instead, it suggested the different clinical features based on the sex difference.10 Meanwhile, although there were no differences in clinical manifestations at diagnosis between male and female AAV patients, in the multivariable Cox analysis, male sex was an independent predictor of all-cause mortality during follow-up. It is difficult to suggest the exact mechanism, but it can be assumed that in a condition with persistent AAV, male patients are more frequently exposed to situations that may increase the rate of all-cause mortality compared to female patients. The result that cyclophosphamide had been administered to male patients more frequently than female patients during the follow-up period may support our assumption.\nAt diagnosis, male patients showed a higher mean BMI than female patients.\nWe wondered whether a high BMI in male patients has influenced an increase in all-cause mortality compared to female patients. To get the clue to prove this, we compared BMI between survived and dead patients with AAV and found that there was no significant difference between the two groups (22.1 vs. 23.0 kg/m2, P = 0.292). In addition, in the multivariable Cox analysis, BMI was not significantly associated with all-cause mortality (Table 3). Why did not the high calculated BMI in male patients contribute to an increased all-cause mortality rate in male patients? According to the previous studies, the rate of all-cause mortality showed a U-shape with BMI between 22.5 and 25 kg/m2 as a reference range: the rate of all-cause mortality tended to increase not only in the BMI range of below 22.5 (or 25) kg/m2 but also in BMI range of above 25 kg/m2.1112 However, unlike the previous studies, in this study, the BMI range, where the largest number of AAV patients died (44.0%), was between 22.1 and 25.0 kg/m2. It could be assumed that this discrepancy was derived from the different study-subjects between general people and AAV patients and furthermore, it might offset the high calculated BMI in male patients from contributing to an increased all-cause mortality rate.\nA previous study, male sex was significantly associated with ESRD occurrence compared to female sex in AAV patients with histologically proven pauci-immune necrotising glomerulonephritis.5 However, unlike the previous study, no significant difference in the cumulative ESRD-free survival rate between male and female patients in this study. Although not all patients with renal involvement underwent renal biopsy, to reproduce the result of the previous study, we included only AAV patients with renal involvement (50 men and 86 women) and analysed it again. However, we could find no significant difference in the cumulative ESRD-free survival rates between male and female patients during the follow-up period based on ESRD (P = 0.994) (Supplementary Fig. 1). Therefore, although focusing on AAV patients with renal involvement, we conclude that the male sex was turned out to be not a good predictor of ESRD during follow-up.\nWe wondered whether male sex may differently affect the cumulative patients' survival rates among AAV-subtypes. Therefore, we conducted the Kaplan-Meier survival analysis for comparing the cumulative patients' survival rates between male and female patients in each AAV subtypes. Among MPA patients, male patients exhibited a significantly lower cumulative survival rate than female patients. However, no significant difference in the cumulative survival rates was observed between male and female patients among GPA patients (Supplementary Fig. 2). On the other hand, since all EGPA patients survived during the follow-up period, the analysis regarding the clinical significance of sex for all-cause mortality was not performed in EGPA patients. With these results, we conclude that the male sex could reduce significantly the cumulative patients' survival rates in MPA patients compared to GPA patients. However, in real clinical settings, since there are not a few cases where the differential diagnosis between MPA and GPA may be difficult, we intend to maintain the current title including AAV patients rather than MPA patients.\nIn this study, variables with P value less than 0.005 in the univariable Cox hazard model analysis were restrictively included in the multivariable analysis. However, since we cannot ignore the variables that were found to be associated with mortality in previous studies, we considered including these variables in multivariate analysis. Since BMI showed a ‘U shape’ contribution to the rate of all-cause mortality, BMI cannot be included in the multivariable analysis. Whereas, ANCA type was reported to be associated with the mortality rate or the infectious cause of death in AAV patients.13 Therefore, we consider including MPO-ANCA (or P-ANCA) and PR3-ANCA (or C-ANCA) in the multivariable Cox hazards model analysis, however, both of them exhibited too low statistical significance in the univariable analysis to be included in the multivariable analysis. On the other hand, CRP tended to be significantly associated with all-cause mortality during the follow-up period (P = 0.073) and furthermore, an index consisting of CRP and other variables was reported to be an independent predictor of all-cause mortality in AAV patients.14 Therefore, we conducted the multivariable Cox hazards model analysis by including CRP. However, similar to the results from Table 3, only male sex and FFS at diagnosis exhibited statically significant HR in the multivariable analysis, despite the addition of CRP. Therefore, we decided to maintain the results of Table 3.\nThe retrospective design might weaken the power of the clinical implication of the sex difference that our study provided. Also, the number of patients was not large enough to represent all Korean patients with AAV. However, this study might be valuable in that this is the first study which provided information regarding the differences in the clinical features and prognosis in the course of AAV between male and female AAV patients in Korea. Also, the limitation of the monocentric study may paradoxically minimise the inter-centric variation or bias, which could enhance the reliability of our study. Most deaths from septic shock or cancer were more frequent than death from persistent haemoptysis or damage to major organs such as the brain and heart. However, since there were many cases in which it was impossible to accurately classify the cause of their death, this study used the item of all-cause mortality without classifying death by cause, which was an additional limitation of this study. We believe that a prospective future study with a larger number of patients by recruiting the institutes, where the same inclusion criteria can be applied and the electronic medical records can be shared, will provide more reliable and valuable information.\nIn conclusion, male sex did not affect the clinical features at diagnosis, however, it increased the rate of all-cause mortality during the follow-up of AAV and was proved to be an independent predictor of all-cause mortality in AAV patients." ]
[ "intro", "methods", null, null, null, null, "results", null, null, null, null, "discussion" ]
[ "Sex", "Difference", "Antineutrophil Cytoplasmic Antibody Vasculitis", "Clinical Features", "Prognosis" ]
INTRODUCTION: Based on the 2012 revised international Chapel Hill Consensus Conference nomenclature of vasculitides, antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) has currently been defined as the necrotising vasculitis without definite immune-complex deposition. AAV primarily affects small vessels, including small intraparenchymal arteries, arterioles, capillaries and venules and occasionally medium-sized arteries and veins.1 In addition, AAV can be further classified three subtypes based on pathogenesis, histological findings, clinical symptoms and signs and laboratory results such as microscopic polyangiitis (MPA), granulomatosis with polyangiitis (GPA) and eosinophilic GPA (EGPA).12 Each systemic vasculitis has its own typical sex difference in the incidence: for instance, among large vessel vasculitis, giant cell arteritis has the male to female ratio of 1:3, whereas Takayasu arteritis has the male to female ratio of 1:9.3 Moreover, each systemic vasculitis has a sex differences in the clinical features: for instance, with regard to Korean patients with Behcet's disease, female patients exhibited more frequently genital ulcers, peripheral arthritis, and inflammatory low back pain, whereas male patients showed a higher frequency of skin lesions.4 There was a previous study pertaining to the sex difference in AAV patients, which reported that male patients were vulnerable to the progression to end-stage renal disease (ESRD) compared to female patients. However, this study included only ANCA-positive AAV patients with histologically proven pauci-immune necrotising glomerulonephritis. For this reason, the results could not be generalised to all AAV patients.5 Also, given the ethnic and geographical differences affecting both the clinical manifestation and the poor outcomes of AAV, a need for a study investigating the sex difference in Korean patients with AAV is still raised but there has been no study on it to date. Hence, in this study, we investigated and compared the initial clinical features at diagnosis and the poor outcomes during follow-up in Korean patients with AAV based on sex. METHODS: Patients The medical records of 223 immunosuppressive drug-naïve patients with AAV were reviewed. They had been initially diagnosed or reclassified as AAV at the Division of Rheumatology, the Department of Internal Medicine, Yonsei University College of Medicine, Severance Hospital, from October 2000 to March 2020. All patients met the 2007 European medicines Agency algorithm for polyarteritis nodosa and AAV as well as the 2012 revised International Chapel Hill Consensus Conference Nomenclature of Vasculitides.12 All patients had the medical records well-documented enough to either collect or assess AAV-specific indices including Birmingham vasculitis activity score (BVAS) version 3 and five-factor score (FFS).67 They had the initial results of ANCA by both an indirect immunofluorescence assay (IFA) for perinuclear (P)-ANCA and cytoplasmic (C)-ANCA and an antigen-specific assay for myeloperoxidase (MPO)-ANCA and proteinase 3 (PR3)-ANCA. Patients negative by antigen-specific assay but positive for ANCA by IFA were considered to have MPO-ANCA or PR3-ANCA when AAV was strongly suspected by the clinical and laboratory features.8 Patients, who had serious medical conditions mimicking the clinical features of AAV at diagnosis such as malignancies, infectious diseases and autoimmune diseases other than AAV, were excluded from this study. In addition, patients, who had been received immunosuppressive drugs prior to diagnosis, were also excluded. All patients had been followed up for at least more than 3 months from the time of diagnosis. The medical records of 223 immunosuppressive drug-naïve patients with AAV were reviewed. They had been initially diagnosed or reclassified as AAV at the Division of Rheumatology, the Department of Internal Medicine, Yonsei University College of Medicine, Severance Hospital, from October 2000 to March 2020. All patients met the 2007 European medicines Agency algorithm for polyarteritis nodosa and AAV as well as the 2012 revised International Chapel Hill Consensus Conference Nomenclature of Vasculitides.12 All patients had the medical records well-documented enough to either collect or assess AAV-specific indices including Birmingham vasculitis activity score (BVAS) version 3 and five-factor score (FFS).67 They had the initial results of ANCA by both an indirect immunofluorescence assay (IFA) for perinuclear (P)-ANCA and cytoplasmic (C)-ANCA and an antigen-specific assay for myeloperoxidase (MPO)-ANCA and proteinase 3 (PR3)-ANCA. Patients negative by antigen-specific assay but positive for ANCA by IFA were considered to have MPO-ANCA or PR3-ANCA when AAV was strongly suspected by the clinical and laboratory features.8 Patients, who had serious medical conditions mimicking the clinical features of AAV at diagnosis such as malignancies, infectious diseases and autoimmune diseases other than AAV, were excluded from this study. In addition, patients, who had been received immunosuppressive drugs prior to diagnosis, were also excluded. All patients had been followed up for at least more than 3 months from the time of diagnosis. Clinical and laboratory data at diagnosis and during follow-up In terms of variables at diagnosis, sex, age, body mass index (BMI) and smoking history were collected as demographic data. AAV subtypes, ANCA positivity, clinical features based on BVAS items,6 and AAV-specific indices were obtained. As acute-phase reactants, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) were also obtained. In terms of variables during follow-up, all-cause mortality, ESRD, cerebrovascular accident (CVA) and cardiovascular disease (CVD) were assessed as the poor outcomes of AAV. ESRD was defined as the status requiring for renal replacement therapy due to estimated glomerular filtration rate of less than 15 mL/min/1.73m2.5 On the basis of sub-items of cardiovascular and nervous systemic items of BVAS,6 CVA was defined as both ischaemic and haemorrhagic strokes, whereas CVD was defined as loss of pulses, vascular heart disease, pericarditis, ischaemic cardiac pain, cardiomyopathy and congestive cardiac failure. Since all patients were classified as AAV in our institute and most of them have been followed up, we could easily access the medical record in our institute to obtain data on the date of death and the first date of diagnosis of ESRD, CVA and CVD. In addition, information regarding all-cause mortality, ESRD, CVA and CVD in patients, who were not followed up in our institute, could be obtained by the Korean National Health Insurance Service system. The follow-up period based on all-cause mortality was defined as the periods from the time of diagnosis of AAV to the death for deceased patients, and those to the last visit for survived patients. On the other hand, the follow-up periods based on ESRD, CVA and CVD were also defined as the periods from diagnosis to either the first renal-replacement, the first diagnoses of CVA or that of CVD, respectively. We counted the number of patients who received each drug among glucocorticoid and immunosuppressive drugs. In terms of variables at diagnosis, sex, age, body mass index (BMI) and smoking history were collected as demographic data. AAV subtypes, ANCA positivity, clinical features based on BVAS items,6 and AAV-specific indices were obtained. As acute-phase reactants, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) were also obtained. In terms of variables during follow-up, all-cause mortality, ESRD, cerebrovascular accident (CVA) and cardiovascular disease (CVD) were assessed as the poor outcomes of AAV. ESRD was defined as the status requiring for renal replacement therapy due to estimated glomerular filtration rate of less than 15 mL/min/1.73m2.5 On the basis of sub-items of cardiovascular and nervous systemic items of BVAS,6 CVA was defined as both ischaemic and haemorrhagic strokes, whereas CVD was defined as loss of pulses, vascular heart disease, pericarditis, ischaemic cardiac pain, cardiomyopathy and congestive cardiac failure. Since all patients were classified as AAV in our institute and most of them have been followed up, we could easily access the medical record in our institute to obtain data on the date of death and the first date of diagnosis of ESRD, CVA and CVD. In addition, information regarding all-cause mortality, ESRD, CVA and CVD in patients, who were not followed up in our institute, could be obtained by the Korean National Health Insurance Service system. The follow-up period based on all-cause mortality was defined as the periods from the time of diagnosis of AAV to the death for deceased patients, and those to the last visit for survived patients. On the other hand, the follow-up periods based on ESRD, CVA and CVD were also defined as the periods from diagnosis to either the first renal-replacement, the first diagnoses of CVA or that of CVD, respectively. We counted the number of patients who received each drug among glucocorticoid and immunosuppressive drugs. Statistical analyses All statistical analyses were conducted using SPSS software (version 23 for Windows; IBM Corp., Armonk, NY, USA). Continuous variables were expressed as a mean ± standard deviation, and categorical variables were expressed as number and the percentage. Significant differences in categorical variables between the two groups were analysed using the χ2 and Fisher's exact tests. Significant differences in continuous variables between the two groups were compared using the Mann-Whitney test. Comparison of the cumulative survivals rates between the two groups was analysed by the Kaplan-Meier survival analysis with the log-rank test. The multivariable Cox hazard model using variables with statistical significance in the univariable Cox hazard model was conducted to appropriately obtain the hazard ratios (HRs) during the considerable follow-up period. P values less than 0.05 were considered statistically significant. All statistical analyses were conducted using SPSS software (version 23 for Windows; IBM Corp., Armonk, NY, USA). Continuous variables were expressed as a mean ± standard deviation, and categorical variables were expressed as number and the percentage. Significant differences in categorical variables between the two groups were analysed using the χ2 and Fisher's exact tests. Significant differences in continuous variables between the two groups were compared using the Mann-Whitney test. Comparison of the cumulative survivals rates between the two groups was analysed by the Kaplan-Meier survival analysis with the log-rank test. The multivariable Cox hazard model using variables with statistical significance in the univariable Cox hazard model was conducted to appropriately obtain the hazard ratios (HRs) during the considerable follow-up period. P values less than 0.05 were considered statistically significant. Ethics statement This study was approved by the Institutional Review Board (IRB) of Severance Hospital (4-2017-0673), and the patient's written informed consent was waived by the approving IRB, as this was a retrospective study. This study was approved by the Institutional Review Board (IRB) of Severance Hospital (4-2017-0673), and the patient's written informed consent was waived by the approving IRB, as this was a retrospective study. Patients: The medical records of 223 immunosuppressive drug-naïve patients with AAV were reviewed. They had been initially diagnosed or reclassified as AAV at the Division of Rheumatology, the Department of Internal Medicine, Yonsei University College of Medicine, Severance Hospital, from October 2000 to March 2020. All patients met the 2007 European medicines Agency algorithm for polyarteritis nodosa and AAV as well as the 2012 revised International Chapel Hill Consensus Conference Nomenclature of Vasculitides.12 All patients had the medical records well-documented enough to either collect or assess AAV-specific indices including Birmingham vasculitis activity score (BVAS) version 3 and five-factor score (FFS).67 They had the initial results of ANCA by both an indirect immunofluorescence assay (IFA) for perinuclear (P)-ANCA and cytoplasmic (C)-ANCA and an antigen-specific assay for myeloperoxidase (MPO)-ANCA and proteinase 3 (PR3)-ANCA. Patients negative by antigen-specific assay but positive for ANCA by IFA were considered to have MPO-ANCA or PR3-ANCA when AAV was strongly suspected by the clinical and laboratory features.8 Patients, who had serious medical conditions mimicking the clinical features of AAV at diagnosis such as malignancies, infectious diseases and autoimmune diseases other than AAV, were excluded from this study. In addition, patients, who had been received immunosuppressive drugs prior to diagnosis, were also excluded. All patients had been followed up for at least more than 3 months from the time of diagnosis. Clinical and laboratory data at diagnosis and during follow-up: In terms of variables at diagnosis, sex, age, body mass index (BMI) and smoking history were collected as demographic data. AAV subtypes, ANCA positivity, clinical features based on BVAS items,6 and AAV-specific indices were obtained. As acute-phase reactants, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) were also obtained. In terms of variables during follow-up, all-cause mortality, ESRD, cerebrovascular accident (CVA) and cardiovascular disease (CVD) were assessed as the poor outcomes of AAV. ESRD was defined as the status requiring for renal replacement therapy due to estimated glomerular filtration rate of less than 15 mL/min/1.73m2.5 On the basis of sub-items of cardiovascular and nervous systemic items of BVAS,6 CVA was defined as both ischaemic and haemorrhagic strokes, whereas CVD was defined as loss of pulses, vascular heart disease, pericarditis, ischaemic cardiac pain, cardiomyopathy and congestive cardiac failure. Since all patients were classified as AAV in our institute and most of them have been followed up, we could easily access the medical record in our institute to obtain data on the date of death and the first date of diagnosis of ESRD, CVA and CVD. In addition, information regarding all-cause mortality, ESRD, CVA and CVD in patients, who were not followed up in our institute, could be obtained by the Korean National Health Insurance Service system. The follow-up period based on all-cause mortality was defined as the periods from the time of diagnosis of AAV to the death for deceased patients, and those to the last visit for survived patients. On the other hand, the follow-up periods based on ESRD, CVA and CVD were also defined as the periods from diagnosis to either the first renal-replacement, the first diagnoses of CVA or that of CVD, respectively. We counted the number of patients who received each drug among glucocorticoid and immunosuppressive drugs. Statistical analyses: All statistical analyses were conducted using SPSS software (version 23 for Windows; IBM Corp., Armonk, NY, USA). Continuous variables were expressed as a mean ± standard deviation, and categorical variables were expressed as number and the percentage. Significant differences in categorical variables between the two groups were analysed using the χ2 and Fisher's exact tests. Significant differences in continuous variables between the two groups were compared using the Mann-Whitney test. Comparison of the cumulative survivals rates between the two groups was analysed by the Kaplan-Meier survival analysis with the log-rank test. The multivariable Cox hazard model using variables with statistical significance in the univariable Cox hazard model was conducted to appropriately obtain the hazard ratios (HRs) during the considerable follow-up period. P values less than 0.05 were considered statistically significant. Ethics statement: This study was approved by the Institutional Review Board (IRB) of Severance Hospital (4-2017-0673), and the patient's written informed consent was waived by the approving IRB, as this was a retrospective study. RESULTS: Comparison of variables at diagnosis The median age was 59.0 years and 74 of 223 AAV patients (64.8%) were men. AAV patients were divided into two groups based on sex and variables at diagnosis were compared between the two groups. Male patients exhibited a higher median BMI than female patients (23.2 vs. 22.0 kg/m2, P = 0.004). Age, smoking history, AAV subtypes, ANCA positivity and the clinical features based on BVAS items did not significantly differ between male and female patients. Also, there were no significant differences in AAV-specific indices and acute-phase reactants between the two groups (Table 1). Values are expressed as a median (interquartile range) or number (%). ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic granulomatosis with polyangiitis, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein. The median age was 59.0 years and 74 of 223 AAV patients (64.8%) were men. AAV patients were divided into two groups based on sex and variables at diagnosis were compared between the two groups. Male patients exhibited a higher median BMI than female patients (23.2 vs. 22.0 kg/m2, P = 0.004). Age, smoking history, AAV subtypes, ANCA positivity and the clinical features based on BVAS items did not significantly differ between male and female patients. Also, there were no significant differences in AAV-specific indices and acute-phase reactants between the two groups (Table 1). Values are expressed as a median (interquartile range) or number (%). ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic granulomatosis with polyangiitis, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein. Comparison of variables during follow-up With regard to the poor outcomes of AAV, there were no significant differences in the frequencies of the poor outcomes of AAV between the two groups. Among glucocorticoid and immunosuppressive drugs administered during follow-up, male patients received cyclophosphamide more frequently compared to female patients (62.2% vs. 44.3%, P = 0.012) (Table 2). Values are expressed as amedian (interquartile range) or number (%). ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease. With regard to the poor outcomes of AAV, there were no significant differences in the frequencies of the poor outcomes of AAV between the two groups. Among glucocorticoid and immunosuppressive drugs administered during follow-up, male patients received cyclophosphamide more frequently compared to female patients (62.2% vs. 44.3%, P = 0.012) (Table 2). Values are expressed as amedian (interquartile range) or number (%). ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease. Comparison of cumulative survival rates Among the four poor outcomes of AAV, male patients exhibited a significantly lower cumulative patients' survival rate than female patients during the follow-up period based on all-cause mortality (P = 0.037). Meanwhile, male patients tended to have a lower CVD-free survival rate compared to female patients but it did not reach statistical significance (P = 0.057) (Fig. 1). Among all-cause mortality, ESRD, CVA and CVD, only a cumulative patients' survival rate diffed between male and female AAV patients. Male patients exhibited a significantly lower cumulative patients' survival rate than female patients. ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease. Among the four poor outcomes of AAV, male patients exhibited a significantly lower cumulative patients' survival rate than female patients during the follow-up period based on all-cause mortality (P = 0.037). Meanwhile, male patients tended to have a lower CVD-free survival rate compared to female patients but it did not reach statistical significance (P = 0.057) (Fig. 1). Among all-cause mortality, ESRD, CVA and CVD, only a cumulative patients' survival rate diffed between male and female AAV patients. Male patients exhibited a significantly lower cumulative patients' survival rate than female patients. ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease. Cox hazard model analyses In the univariable analysis, age (HR, 1.055), male sex (HR, 2.264), smoking history (HR, 6.052), BVAS (HR, 1.096) and FFS (HR, 2.142) at diagnosis were significantly associated with all-cause mortality during follow-up. In the multivariable analysis, both male sex (HR, 2.378; 95% confidence interval [CI], 1.050–5.384) and FFS (HR, 1.693; 95% CI, 1.071–2.676) at diagnosis were significantly and independently associated with all-cause mortality during follow-up (Table 3). ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, HR = hazard ratio, CI = confidence interval, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic GPA, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein. In the univariable analysis, age (HR, 1.055), male sex (HR, 2.264), smoking history (HR, 6.052), BVAS (HR, 1.096) and FFS (HR, 2.142) at diagnosis were significantly associated with all-cause mortality during follow-up. In the multivariable analysis, both male sex (HR, 2.378; 95% confidence interval [CI], 1.050–5.384) and FFS (HR, 1.693; 95% CI, 1.071–2.676) at diagnosis were significantly and independently associated with all-cause mortality during follow-up (Table 3). ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, HR = hazard ratio, CI = confidence interval, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic GPA, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein. Comparison of variables at diagnosis: The median age was 59.0 years and 74 of 223 AAV patients (64.8%) were men. AAV patients were divided into two groups based on sex and variables at diagnosis were compared between the two groups. Male patients exhibited a higher median BMI than female patients (23.2 vs. 22.0 kg/m2, P = 0.004). Age, smoking history, AAV subtypes, ANCA positivity and the clinical features based on BVAS items did not significantly differ between male and female patients. Also, there were no significant differences in AAV-specific indices and acute-phase reactants between the two groups (Table 1). Values are expressed as a median (interquartile range) or number (%). ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic granulomatosis with polyangiitis, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein. Comparison of variables during follow-up: With regard to the poor outcomes of AAV, there were no significant differences in the frequencies of the poor outcomes of AAV between the two groups. Among glucocorticoid and immunosuppressive drugs administered during follow-up, male patients received cyclophosphamide more frequently compared to female patients (62.2% vs. 44.3%, P = 0.012) (Table 2). Values are expressed as amedian (interquartile range) or number (%). ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease. Comparison of cumulative survival rates: Among the four poor outcomes of AAV, male patients exhibited a significantly lower cumulative patients' survival rate than female patients during the follow-up period based on all-cause mortality (P = 0.037). Meanwhile, male patients tended to have a lower CVD-free survival rate compared to female patients but it did not reach statistical significance (P = 0.057) (Fig. 1). Among all-cause mortality, ESRD, CVA and CVD, only a cumulative patients' survival rate diffed between male and female AAV patients. Male patients exhibited a significantly lower cumulative patients' survival rate than female patients. ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, ESRD = end-stage renal disease, CVA = cerebrovascular accident, CVD = cardiovascular disease. Cox hazard model analyses: In the univariable analysis, age (HR, 1.055), male sex (HR, 2.264), smoking history (HR, 6.052), BVAS (HR, 1.096) and FFS (HR, 2.142) at diagnosis were significantly associated with all-cause mortality during follow-up. In the multivariable analysis, both male sex (HR, 2.378; 95% confidence interval [CI], 1.050–5.384) and FFS (HR, 1.693; 95% CI, 1.071–2.676) at diagnosis were significantly and independently associated with all-cause mortality during follow-up (Table 3). ANCA = antineutrophil cytoplasmic antibody, AAV = ANCA-associated vasculitis, HR = hazard ratio, CI = confidence interval, BMI = body mass index, MPA = microscopic polyangiitis, GPA = granulomatosis with polyangiitis, EGPA = eosinophilic GPA, MPO = myeloperoxidase, P = perinuclear, PR3 = proteinase 3, C = cytoplasmic, BVAS = Birmingham vasculitis activity score, FFS = five-factor score, ESR = erythrocyte sedimentation rate, CRP = C-reactive protein. DISCUSSION: In this study comparing the clinical features based on the sex difference in AAV patients, we discovered the following three new findings. First, at the time of diagnosis, the clinical features and laboratory related to AAV, such as AAV subtypes, ANCA positivity, clinical manifestations and AAV-specific indices, did not significantly differ between male and female patients. Second, during the follow-up period, male patients exhibited a significantly lower cumulative patients' survival rate compared to female patients. Third, male sex together with FFS was proved to be an independent predictor of all-cause mortality during the follow-up period in AAV patients. Only male sex itself does not seem to simply increase the rate of all-cause mortality in this study. A previous study reported introduced dietary risks, tobacco smoking, high BMI, high blood pressure and high fasting plasma glucose as the most common risk factors for mortality. However, male sex itself was not clearly defined as a primary risk factor for mortality.9 Another previous study denied the fact that the life expectancy of men was meaningfully lower than that of women. Instead, it suggested the different clinical features based on the sex difference.10 Meanwhile, although there were no differences in clinical manifestations at diagnosis between male and female AAV patients, in the multivariable Cox analysis, male sex was an independent predictor of all-cause mortality during follow-up. It is difficult to suggest the exact mechanism, but it can be assumed that in a condition with persistent AAV, male patients are more frequently exposed to situations that may increase the rate of all-cause mortality compared to female patients. The result that cyclophosphamide had been administered to male patients more frequently than female patients during the follow-up period may support our assumption. At diagnosis, male patients showed a higher mean BMI than female patients. We wondered whether a high BMI in male patients has influenced an increase in all-cause mortality compared to female patients. To get the clue to prove this, we compared BMI between survived and dead patients with AAV and found that there was no significant difference between the two groups (22.1 vs. 23.0 kg/m2, P = 0.292). In addition, in the multivariable Cox analysis, BMI was not significantly associated with all-cause mortality (Table 3). Why did not the high calculated BMI in male patients contribute to an increased all-cause mortality rate in male patients? According to the previous studies, the rate of all-cause mortality showed a U-shape with BMI between 22.5 and 25 kg/m2 as a reference range: the rate of all-cause mortality tended to increase not only in the BMI range of below 22.5 (or 25) kg/m2 but also in BMI range of above 25 kg/m2.1112 However, unlike the previous studies, in this study, the BMI range, where the largest number of AAV patients died (44.0%), was between 22.1 and 25.0 kg/m2. It could be assumed that this discrepancy was derived from the different study-subjects between general people and AAV patients and furthermore, it might offset the high calculated BMI in male patients from contributing to an increased all-cause mortality rate. A previous study, male sex was significantly associated with ESRD occurrence compared to female sex in AAV patients with histologically proven pauci-immune necrotising glomerulonephritis.5 However, unlike the previous study, no significant difference in the cumulative ESRD-free survival rate between male and female patients in this study. Although not all patients with renal involvement underwent renal biopsy, to reproduce the result of the previous study, we included only AAV patients with renal involvement (50 men and 86 women) and analysed it again. However, we could find no significant difference in the cumulative ESRD-free survival rates between male and female patients during the follow-up period based on ESRD (P = 0.994) (Supplementary Fig. 1). Therefore, although focusing on AAV patients with renal involvement, we conclude that the male sex was turned out to be not a good predictor of ESRD during follow-up. We wondered whether male sex may differently affect the cumulative patients' survival rates among AAV-subtypes. Therefore, we conducted the Kaplan-Meier survival analysis for comparing the cumulative patients' survival rates between male and female patients in each AAV subtypes. Among MPA patients, male patients exhibited a significantly lower cumulative survival rate than female patients. However, no significant difference in the cumulative survival rates was observed between male and female patients among GPA patients (Supplementary Fig. 2). On the other hand, since all EGPA patients survived during the follow-up period, the analysis regarding the clinical significance of sex for all-cause mortality was not performed in EGPA patients. With these results, we conclude that the male sex could reduce significantly the cumulative patients' survival rates in MPA patients compared to GPA patients. However, in real clinical settings, since there are not a few cases where the differential diagnosis between MPA and GPA may be difficult, we intend to maintain the current title including AAV patients rather than MPA patients. In this study, variables with P value less than 0.005 in the univariable Cox hazard model analysis were restrictively included in the multivariable analysis. However, since we cannot ignore the variables that were found to be associated with mortality in previous studies, we considered including these variables in multivariate analysis. Since BMI showed a ‘U shape’ contribution to the rate of all-cause mortality, BMI cannot be included in the multivariable analysis. Whereas, ANCA type was reported to be associated with the mortality rate or the infectious cause of death in AAV patients.13 Therefore, we consider including MPO-ANCA (or P-ANCA) and PR3-ANCA (or C-ANCA) in the multivariable Cox hazards model analysis, however, both of them exhibited too low statistical significance in the univariable analysis to be included in the multivariable analysis. On the other hand, CRP tended to be significantly associated with all-cause mortality during the follow-up period (P = 0.073) and furthermore, an index consisting of CRP and other variables was reported to be an independent predictor of all-cause mortality in AAV patients.14 Therefore, we conducted the multivariable Cox hazards model analysis by including CRP. However, similar to the results from Table 3, only male sex and FFS at diagnosis exhibited statically significant HR in the multivariable analysis, despite the addition of CRP. Therefore, we decided to maintain the results of Table 3. The retrospective design might weaken the power of the clinical implication of the sex difference that our study provided. Also, the number of patients was not large enough to represent all Korean patients with AAV. However, this study might be valuable in that this is the first study which provided information regarding the differences in the clinical features and prognosis in the course of AAV between male and female AAV patients in Korea. Also, the limitation of the monocentric study may paradoxically minimise the inter-centric variation or bias, which could enhance the reliability of our study. Most deaths from septic shock or cancer were more frequent than death from persistent haemoptysis or damage to major organs such as the brain and heart. However, since there were many cases in which it was impossible to accurately classify the cause of their death, this study used the item of all-cause mortality without classifying death by cause, which was an additional limitation of this study. We believe that a prospective future study with a larger number of patients by recruiting the institutes, where the same inclusion criteria can be applied and the electronic medical records can be shared, will provide more reliable and valuable information. In conclusion, male sex did not affect the clinical features at diagnosis, however, it increased the rate of all-cause mortality during the follow-up of AAV and was proved to be an independent predictor of all-cause mortality in AAV patients.
Background: We investigated and compared the initial clinical features at diagnosis and the poor outcomes during follow-up in Korean patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) based on sex. Methods: The medical records of 223 immunosuppressive drug-naïve patients with AAV were reviewed. Age, body mass index (BMI), smoking history, AAV subtypes, ANCA positivity, clinical manifestations, Birmingham vasculitis activity score (BVAS), five-factor score (FFS), erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) at diagnosis were collected. All-cause mortality, end-stage renal disease (ESRD), cerebrovascular accident (CVA) and cardiovascular disease (CVD) were assessed as the poor outcomes of AAV during follow-up. Results: The median age was 59.0 years and 74 of 223 AAV patients (33.2%) were men. Among variables at diagnosis, male patients exhibited higher BMI than female. However, there were no differences in other demographic data, AAV subtypes, ANCA positivity, BVAS, FFS, ESR and CRP between the two groups. Male patients received cyclophosphamide more frequently, but there were no significant differences in the frequencies of the poor outcomes of AAV between the two groups. Male patients exhibited a significantly lower cumulative patients' survival rate than female patients during the follow-up period based on all-cause mortality (P = 0.037). In the multivariable analysis, both male sex (hazard ratio [HR], 2.378) and FFS (HR, 1.693) at diagnosis were significantly and independently associated with all-cause mortality during follow-up. Conclusions: Male sex is a significant and independent predictor of all-cause mortality in AAV patients.
null
null
6,557
337
[ 263, 370, 155, 44, 216, 113, 151, 203 ]
12
[ "patients", "aav", "anca", "male", "mortality", "diagnosis", "cause", "female", "follow", "cause mortality" ]
[ "vasculitis definite", "ratio systemic vasculitis", "associated vasculitis aav", "systemic vasculitis sex", "vasculitis sex differences" ]
null
null
[CONTENT] Sex | Difference | Antineutrophil Cytoplasmic Antibody Vasculitis | Clinical Features | Prognosis [SUMMARY]
[CONTENT] Sex | Difference | Antineutrophil Cytoplasmic Antibody Vasculitis | Clinical Features | Prognosis [SUMMARY]
[CONTENT] Sex | Difference | Antineutrophil Cytoplasmic Antibody Vasculitis | Clinical Features | Prognosis [SUMMARY]
null
[CONTENT] Sex | Difference | Antineutrophil Cytoplasmic Antibody Vasculitis | Clinical Features | Prognosis [SUMMARY]
null
[CONTENT] Aged | Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis | Blood Sedimentation | Body Mass Index | C-Reactive Protein | Cardiovascular Diseases | Female | Humans | Kidney Failure, Chronic | Male | Middle Aged | Sex Factors | Stroke | Survival Rate [SUMMARY]
[CONTENT] Aged | Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis | Blood Sedimentation | Body Mass Index | C-Reactive Protein | Cardiovascular Diseases | Female | Humans | Kidney Failure, Chronic | Male | Middle Aged | Sex Factors | Stroke | Survival Rate [SUMMARY]
[CONTENT] Aged | Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis | Blood Sedimentation | Body Mass Index | C-Reactive Protein | Cardiovascular Diseases | Female | Humans | Kidney Failure, Chronic | Male | Middle Aged | Sex Factors | Stroke | Survival Rate [SUMMARY]
null
[CONTENT] Aged | Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis | Blood Sedimentation | Body Mass Index | C-Reactive Protein | Cardiovascular Diseases | Female | Humans | Kidney Failure, Chronic | Male | Middle Aged | Sex Factors | Stroke | Survival Rate [SUMMARY]
null
[CONTENT] vasculitis definite | ratio systemic vasculitis | associated vasculitis aav | systemic vasculitis sex | vasculitis sex differences [SUMMARY]
[CONTENT] vasculitis definite | ratio systemic vasculitis | associated vasculitis aav | systemic vasculitis sex | vasculitis sex differences [SUMMARY]
[CONTENT] vasculitis definite | ratio systemic vasculitis | associated vasculitis aav | systemic vasculitis sex | vasculitis sex differences [SUMMARY]
null
[CONTENT] vasculitis definite | ratio systemic vasculitis | associated vasculitis aav | systemic vasculitis sex | vasculitis sex differences [SUMMARY]
null
[CONTENT] patients | aav | anca | male | mortality | diagnosis | cause | female | follow | cause mortality [SUMMARY]
[CONTENT] patients | aav | anca | male | mortality | diagnosis | cause | female | follow | cause mortality [SUMMARY]
[CONTENT] patients | aav | anca | male | mortality | diagnosis | cause | female | follow | cause mortality [SUMMARY]
null
[CONTENT] patients | aav | anca | male | mortality | diagnosis | cause | female | follow | cause mortality [SUMMARY]
null
[CONTENT] patients | aav | study | sex | sex difference | korean patients | difference | vasculitis | female | male [SUMMARY]
[CONTENT] patients | aav | variables | cvd | cva | anca | diagnosis | defined | cva cvd | medical [SUMMARY]
[CONTENT] patients | hr | aav | male | female | anca | polyangiitis | female patients | rate | associated [SUMMARY]
null
[CONTENT] patients | aav | male | anca | female | study | hr | cvd | mortality | cause [SUMMARY]
null
[CONTENT] Korean | ANCA)-associated | AAV [SUMMARY]
[CONTENT] 223 | AAV ||| BMI | AAV | Birmingham vasculitis | BVAS | five | FFS | ESR | CRP ||| ESRD | CVA | AAV [SUMMARY]
[CONTENT] 59.0 years | 74 | 223 | AAV | 33.2% ||| BMI ||| AAV | BVAS | FFS | ESR | CRP | two ||| AAV | two ||| 0.037 ||| 2.378 | FFS | 1.693 [SUMMARY]
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[CONTENT] Korean | ANCA)-associated | AAV ||| 223 | AAV ||| BMI | AAV | Birmingham vasculitis | BVAS | five | FFS | ESR | CRP ||| ESRD | CVA | AAV ||| ||| 59.0 years | 74 | 223 | AAV | 33.2% ||| BMI ||| AAV | BVAS | FFS | ESR | CRP | two ||| AAV | two ||| 0.037 ||| 2.378 | FFS | 1.693 ||| AAV [SUMMARY]
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Development, validation, and administration of a treatment-satisfaction questionnaire for caregivers of dependent type 2 diabetic patients.
26124650
Satisfaction with treatment is considered a relevant factor for assessing results in clinical practice. However, when assessing satisfaction in dependent patients, the opinion of their caregivers becomes crucial, since implicit in satisfaction is the degree of caregiver involvement, of adherence to treatment, and lastly of better care of these patients.
BACKGROUND
This was an observational, descriptive, epidemiological study conducted in the Los Montalvos Internal Medicine Department at the University Hospital of Salamanca (Spain). Two versions of the questionnaire to assess caregivers' satisfaction with current treatment and after introducing changes in therapy were created and validated according to model procedures. Once validated, the questionnaires were implemented in 219 cases.
PATIENTS AND METHODS
Cronbach's α-coefficient, correlation between all the items, intraclass correlation coefficient, and correlation between the obtained scores and satisfaction with blood glucose levels all satisfied the standard for validation. Significant levels of correlation were observed between the degree of satisfaction and the number of daily administrations of the blood glucose-lowering medication (Spearman's r=-0.21, P<0.05). Caregivers of patients receiving more frequent administration of their antidiabetic medication prior to the change were more satisfied with the change (r=0.24, P<0.001). Similarly, significant correlation was found between the number of daily administrations for blood glucose-lowering medication after the change and the degree of satisfaction (r=-0.43, P<0.001).
RESULTS
A useful novel instrument to assess caregivers' satisfaction was validated. When applied to our cohort of cases, the obtained data suggest that simplicity in antidiabetic therapy should be considered in the management of dependent type 2 diabetic patients when caregivers' satisfaction is an additional objective.
CONCLUSION
[ "Aged", "Aged, 80 and over", "Caregivers", "Diabetes Mellitus, Type 2", "Female", "Humans", "Hypoglycemic Agents", "Male", "Middle Aged", "Personal Satisfaction", "Psychometrics", "Quality of Life", "Reproducibility of Results", "Spain", "Surveys and Questionnaires" ]
4476422
Introduction
Satisfaction with treatment, knowledge about the disease, and assessment of the impact on the patient’s quality of life are all considered measurements for assessing results in clinical practice.1 In the case of diabetes mellitus, a number of different questionnaires have been designed to assess patient satisfaction with treatment. Some, like the Diabetes Treatment Satisfaction Questionnaire,2 are specific, while others, such as the Diabetes-Specific Quality-of-Life Scale3 and the Diabetes Quality of Life Clinical Trial Questionnaire,4 come under the category of quality-of-life assessments. However, when assessing satisfaction in dependent patients, the opinion of their carers becomes more important, since they are the ones administering the medication and it is they who will detect any side effects. Complex therapy regimens, insufficient or excessive treatments, poorly controlled disease, and other incidents can make the disease more difficult for caregivers to manage, requiring greater vigilance and increasing the caregivers’ workload. From this perspective, it is important to know how satisfied caregivers are with the treatments they administer.5 Several studies have assessed caregiver/parent satisfaction with treatment in cases of children with type 1 diabetes.6,7 However, there is no such information available specifically for dependent type 2 diabetic patients. Nor have the characteristics which make up the caregiver profile in these cases been identified. Some studies point to the reduction in quality of life resulting from their workload,8,9 others report an increase in mental stress,10 while others emphasize the lack of specific training in relation to the burden of responsibility they take on.11 In this context, our objective was to develop, validate, and then administer two versions of a specific questionnaire to assess satisfaction with blood glucose-lowering treatment in caregivers of dependent type 2 diabetic patients. The first version (current-status version) was designed to assess current satisfaction with the treatment received, while the second (change version) was intended to assess satisfaction after introducing changes in blood glucose-lowering treatment.
Statistical analysis
A descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance.
Results
Questionnaire Two versions of the questionnaire were created (Tables 1 and 2): the first (STCD2-a) to assess satisfaction with current treatment (“over the last few weeks”), and the second (STCD2-c) to assess satisfaction after a change in treatment (“over the last few months”). Both consist of seven questions with a five-response scale, from “Very satisfied” to “Very dissatisfied” in the first six items and from “I would definitely recommend it” to “I wouldn’t recommend it at all” in the last item. The first item refers to overall treatment satisfaction, the next five assess satisfaction in specific areas, and the final item concerns whether or not they would recommend the patient’s current treatment. Two versions of the questionnaire were created (Tables 1 and 2): the first (STCD2-a) to assess satisfaction with current treatment (“over the last few weeks”), and the second (STCD2-c) to assess satisfaction after a change in treatment (“over the last few months”). Both consist of seven questions with a five-response scale, from “Very satisfied” to “Very dissatisfied” in the first six items and from “I would definitely recommend it” to “I wouldn’t recommend it at all” in the last item. The first item refers to overall treatment satisfaction, the next five assess satisfaction in specific areas, and the final item concerns whether or not they would recommend the patient’s current treatment. Description of the sample A summary of the clinical and demographic data for the 219 patients included in the study and their caregivers is shown in Tables 3 and 4. A summary of the clinical and demographic data for the 219 patients included in the study and their caregivers is shown in Tables 3 and 4. Validation of the current-status version of the questionnaire The internal consistency of the STCD2-a was assessed in the entire sample (219 cases), with Cronbach’s α-coefficient being 0.93 (values above 0.7 are considered adequate).15 All the items correlated with each other (r=0.36–0.91, P<0.001). Test–retest reliability was analyzed in 88 cases interviewed by telephone after the hospital stay. The intraclass correlation coefficient was 0.96 (95% confidence interval [CI] 0.94–0.97, P<0.001). Construct validity was demonstrated in the correlation matrix: all the items, as well as the overall satisfaction score, were correlated with the degree of satisfaction and with the blood glucose levels (r=0.40–0.86, P<0.001). All the items were correlated with the HbA1c figures (r=−0.24 to −0.35, P<0.001), except for satisfaction with their knowledge about diabetes (r=−0.07, P<0.05). In the analysis of longitudinal validity, a significant correlation was demonstrated in the increase in the overall satisfaction index and the increased satisfaction with the blood glucose levels between the initial survey and the one carried out to assess the change (r=0.77, P<0.001). In four cases (1.8%) and 0 cases, respectively, extreme overall satisfaction scores were achieved (floor/ceiling effect). The internal consistency of the STCD2-a was assessed in the entire sample (219 cases), with Cronbach’s α-coefficient being 0.93 (values above 0.7 are considered adequate).15 All the items correlated with each other (r=0.36–0.91, P<0.001). Test–retest reliability was analyzed in 88 cases interviewed by telephone after the hospital stay. The intraclass correlation coefficient was 0.96 (95% confidence interval [CI] 0.94–0.97, P<0.001). Construct validity was demonstrated in the correlation matrix: all the items, as well as the overall satisfaction score, were correlated with the degree of satisfaction and with the blood glucose levels (r=0.40–0.86, P<0.001). All the items were correlated with the HbA1c figures (r=−0.24 to −0.35, P<0.001), except for satisfaction with their knowledge about diabetes (r=−0.07, P<0.05). In the analysis of longitudinal validity, a significant correlation was demonstrated in the increase in the overall satisfaction index and the increased satisfaction with the blood glucose levels between the initial survey and the one carried out to assess the change (r=0.77, P<0.001). In four cases (1.8%) and 0 cases, respectively, extreme overall satisfaction scores were achieved (floor/ceiling effect). Validation of the change version of the questionnaire The validation of the change survey was carried out in 127 cases. Cronbach’s α-coefficient was 0.92. Correlation was demonstrated between all the items (r=0.33–0.79, P<0.001). In the test–retest reliability analysis, the intraclass correlation coefficient was 0.96 (95% CI 0.95–0.97, P<0.001). The scores for all the questionnaire items and the overall satisfaction score were correlated with the satisfaction scores for the blood glucose levels (r=0.44–0.78, P<0.001). In eight cases (6.2%) and 0 cases, respectively, extreme scores were achieved (floor/ceiling effect). The validation of the change survey was carried out in 127 cases. Cronbach’s α-coefficient was 0.92. Correlation was demonstrated between all the items (r=0.33–0.79, P<0.001). In the test–retest reliability analysis, the intraclass correlation coefficient was 0.96 (95% CI 0.95–0.97, P<0.001). The scores for all the questionnaire items and the overall satisfaction score were correlated with the satisfaction scores for the blood glucose levels (r=0.44–0.78, P<0.001). In eight cases (6.2%) and 0 cases, respectively, extreme scores were achieved (floor/ceiling effect). Administration of the current-status version of the questionnaire The STCD2-a questionnaire was administered to 219 caregivers. The average HbA1c levels of the patients they looked after were 7.4% (95% CI 7.2–7.5). A total of 101 (46.1%) cases were on insulin treatment, of which 14 (6.4%) were receiving treatment with rapid-acting insulin or analog, eleven (5.0%) with intermediate-acting insulin or analog, 24 (11.0%) with preloaded mixtures of rapid-acting insulin or analog plus intermediate-acting insulin or analog, and 69 (31.5%) with long-acting analog. A total of 141 (64.4%) were receiving an oral antidiabetic agent, and 23 (10.5%) cases insulin plus an oral antidiabetic agent. The median number of daily administrations for the antidiabetic medication (insulin and/or oral antidiabetics) was two (one to six). The median caregivers’ satisfaction with the blood glucose levels was three (one to five), with a mean overall satisfaction of 24.8 points (95% CI 24.0–25.6). Caregivers were “very” or “somewhat” satisfied with what they knew about the treatment of diabetes in 32 (39.4%) cases. The caregivers with the highest scores for overall satisfaction were those who looked after the patients in a residential care setting (26.0, 95% CI 24.6–27.5), as opposed to those who did so at home (24.2, 95% CI 23.2–25.2; P<0.05). Among those caring at home, there was a correlation between the satisfaction score and the number of hours dedicated to caring for the patient (r=0.29, P<0.001). The caregivers who had no help at home (n=38) were more satisfied than those who received help (n=109) (26.4, 95% CI 22.3–24.5 versus 23.4, 95% CI 2.3–24.5; P<0.01), as did those who received payment for their work (n=8) than the informal caregivers (n=139) (28.3, 95% CI 25.6–30.9 versus 23.9, 95% CI 22.9–25.0; P<0.05). In terms of the treatment administered, correlation was observed between the degree of satisfaction and the number of daily administrations of the blood glucose-lowering medication (r=−0.21, P<0.05). Overall satisfaction in each of the groups of global treatment is shown in Figure 1. Caregivers of patients treated with insulin plus an oral antidiabetic agent (n=23) had lower average satisfaction levels than the rest of the caregivers (n=196) (20.0, 95% CI 17.0–23.0 versus 25.3, 95% CI 24.5–26.1; P<0.001). This was also the case with caregivers of patients treated with rapid-acting insulin or analog (n=14) (20.6, 95% CI 16.5–24.8 versus 25.1, 95% CI 24.2–25.9; P<0.01) or intermediate-acting insulin or analog (n=11) (21.1, 95% CI 17.2–25.0 versus 25.0, 95% CI 24.1–25.8; P<0.05). On the other hand, caregivers of patients treated only with a long-acting insulin analog (n=52) had higher average satisfaction levels than the rest of the caregivers (n=167) (26.4, 95% CI 25.0–27.8 versus 24.3, 95% CI 23.3–25.2; P<0.01). The STCD2-a questionnaire was administered to 219 caregivers. The average HbA1c levels of the patients they looked after were 7.4% (95% CI 7.2–7.5). A total of 101 (46.1%) cases were on insulin treatment, of which 14 (6.4%) were receiving treatment with rapid-acting insulin or analog, eleven (5.0%) with intermediate-acting insulin or analog, 24 (11.0%) with preloaded mixtures of rapid-acting insulin or analog plus intermediate-acting insulin or analog, and 69 (31.5%) with long-acting analog. A total of 141 (64.4%) were receiving an oral antidiabetic agent, and 23 (10.5%) cases insulin plus an oral antidiabetic agent. The median number of daily administrations for the antidiabetic medication (insulin and/or oral antidiabetics) was two (one to six). The median caregivers’ satisfaction with the blood glucose levels was three (one to five), with a mean overall satisfaction of 24.8 points (95% CI 24.0–25.6). Caregivers were “very” or “somewhat” satisfied with what they knew about the treatment of diabetes in 32 (39.4%) cases. The caregivers with the highest scores for overall satisfaction were those who looked after the patients in a residential care setting (26.0, 95% CI 24.6–27.5), as opposed to those who did so at home (24.2, 95% CI 23.2–25.2; P<0.05). Among those caring at home, there was a correlation between the satisfaction score and the number of hours dedicated to caring for the patient (r=0.29, P<0.001). The caregivers who had no help at home (n=38) were more satisfied than those who received help (n=109) (26.4, 95% CI 22.3–24.5 versus 23.4, 95% CI 2.3–24.5; P<0.01), as did those who received payment for their work (n=8) than the informal caregivers (n=139) (28.3, 95% CI 25.6–30.9 versus 23.9, 95% CI 22.9–25.0; P<0.05). In terms of the treatment administered, correlation was observed between the degree of satisfaction and the number of daily administrations of the blood glucose-lowering medication (r=−0.21, P<0.05). Overall satisfaction in each of the groups of global treatment is shown in Figure 1. Caregivers of patients treated with insulin plus an oral antidiabetic agent (n=23) had lower average satisfaction levels than the rest of the caregivers (n=196) (20.0, 95% CI 17.0–23.0 versus 25.3, 95% CI 24.5–26.1; P<0.001). This was also the case with caregivers of patients treated with rapid-acting insulin or analog (n=14) (20.6, 95% CI 16.5–24.8 versus 25.1, 95% CI 24.2–25.9; P<0.01) or intermediate-acting insulin or analog (n=11) (21.1, 95% CI 17.2–25.0 versus 25.0, 95% CI 24.1–25.8; P<0.05). On the other hand, caregivers of patients treated only with a long-acting insulin analog (n=52) had higher average satisfaction levels than the rest of the caregivers (n=167) (26.4, 95% CI 25.0–27.8 versus 24.3, 95% CI 23.3–25.2; P<0.01). Administration of the change version of the questionnaire The STCD2-c questionnaire was given to 127 caregivers of patients in whom the blood glucose-lowering treatment had been modified as described earlier. These caregivers had a lower average satisfaction score in the STCD2-c than the caregivers of patients in whom no treatment changes had been made (22.9, 95% CI 21.8–24.0 versus 27.3, 95% CI 26.3–28.3; P<0.001) and lower satisfaction scores for blood glucose levels (3.0, 95% CI 2.8–3.2 versus 3.7, 95% CI 3.5–3.9; P<0.001). There were no statistically significant differences between the two groups in HbA1c levels during the hospital stay. The changes made to treatment were as follows: change in dosage, 39 cases (30.7%); switch from oral antidiabetic drug to insulin therapy, 25 cases (19.7%); discontinuation of all blood glucose-lowering medication, 19 cases (15%); change of oral antidiabetic drug, 16 cases (12.6%); change of type of insulin, 14 cases (11.0%); discontinuation of oral antidiabetic drug in an insulin-plus-antidiabetic regimen, 12 cases (9.4%); addition of a new insulin to the previous insulin regimen, one case (0.8%); and discontinuation of insulin therapy in an insulin-plus-antidiabetic regimen, one case (0.8%). Of the 40 cases in which insulin was added to the treatment, this was a long-acting insulin analog in 31 cases. The median number of daily administrations for the anti-diabetic medication (insulin and/or oral antidiabetic) was one (zero to four). The degree of satisfaction with the change (the sum of scores for each of the items in the change questionnaire) was 27.3 (95% CI 26.4–28.2). Statistically significant differences in the questionnaire score were found based on the change in treatment between those with a change in the dosage and those with no dosage change (25.1, 95% CI 23.8–26.4 versus 28.3, 95% CI 27.1–29.5; P<0.01) and between those in whom all blood glucose-lowering medication was discontinued and all other changes (30.8, 95% CI 27.8–33.8 versus 26.6, 95% CI 25.7–27.5; P<0.01). Additionally, the cases in which a long-acting insulin analog was included in the new treatment had higher scores for the item referring to greater satisfaction with the patient’s blood glucose levels (4.6, 95% CI 4.3–4.9 versus 3.9, 95% CI 3.7–4.1; P<0.001) and for the item asking about greater satisfaction in terms of continuing with the treatment after the change (4.5, 95% CI 4.2–4.9 versus 4.0, 95% CI 3.8–4.2; P<0.01). Caregivers of patients receiving more frequent administration of their antidiabetic medication prior to the change were more satisfied with the change (r=0.24, P<0.001). Similarly, correlation was found between the number of daily administrations for blood glucose-lowering medication after the change and the degree of satisfaction (r=−0.43, P<0.001). The STCD2-c questionnaire was given to 127 caregivers of patients in whom the blood glucose-lowering treatment had been modified as described earlier. These caregivers had a lower average satisfaction score in the STCD2-c than the caregivers of patients in whom no treatment changes had been made (22.9, 95% CI 21.8–24.0 versus 27.3, 95% CI 26.3–28.3; P<0.001) and lower satisfaction scores for blood glucose levels (3.0, 95% CI 2.8–3.2 versus 3.7, 95% CI 3.5–3.9; P<0.001). There were no statistically significant differences between the two groups in HbA1c levels during the hospital stay. The changes made to treatment were as follows: change in dosage, 39 cases (30.7%); switch from oral antidiabetic drug to insulin therapy, 25 cases (19.7%); discontinuation of all blood glucose-lowering medication, 19 cases (15%); change of oral antidiabetic drug, 16 cases (12.6%); change of type of insulin, 14 cases (11.0%); discontinuation of oral antidiabetic drug in an insulin-plus-antidiabetic regimen, 12 cases (9.4%); addition of a new insulin to the previous insulin regimen, one case (0.8%); and discontinuation of insulin therapy in an insulin-plus-antidiabetic regimen, one case (0.8%). Of the 40 cases in which insulin was added to the treatment, this was a long-acting insulin analog in 31 cases. The median number of daily administrations for the anti-diabetic medication (insulin and/or oral antidiabetic) was one (zero to four). The degree of satisfaction with the change (the sum of scores for each of the items in the change questionnaire) was 27.3 (95% CI 26.4–28.2). Statistically significant differences in the questionnaire score were found based on the change in treatment between those with a change in the dosage and those with no dosage change (25.1, 95% CI 23.8–26.4 versus 28.3, 95% CI 27.1–29.5; P<0.01) and between those in whom all blood glucose-lowering medication was discontinued and all other changes (30.8, 95% CI 27.8–33.8 versus 26.6, 95% CI 25.7–27.5; P<0.01). Additionally, the cases in which a long-acting insulin analog was included in the new treatment had higher scores for the item referring to greater satisfaction with the patient’s blood glucose levels (4.6, 95% CI 4.3–4.9 versus 3.9, 95% CI 3.7–4.1; P<0.001) and for the item asking about greater satisfaction in terms of continuing with the treatment after the change (4.5, 95% CI 4.2–4.9 versus 4.0, 95% CI 3.8–4.2; P<0.01). Caregivers of patients receiving more frequent administration of their antidiabetic medication prior to the change were more satisfied with the change (r=0.24, P<0.001). Similarly, correlation was found between the number of daily administrations for blood glucose-lowering medication after the change and the degree of satisfaction (r=−0.43, P<0.001).
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[ "Patients and methods", "Preparation of the questionnaire", "Validation of the questionnaire", "Conducting the surveys", "Implementation of the questionnaire", "Conducting the surveys", "Statistical analysis", "Ethical considerations", "Questionnaire", "Description of the sample", "Validation of the current-status version of the questionnaire", "Validation of the change version of the questionnaire", "Administration of the current-status version of the questionnaire", "Administration of the change version of the questionnaire" ]
[ "This was an observational, descriptive, epidemiological study conducted in the Los Montalvos Internal Medicine Department at Complejo Asistencial Universitario de Salamanca (Spain). Caregivers of dependent type 2 diabetic patients were invited to take part when the patients were on drug treatment to control their blood glucose levels, had been going to the department for 12 consecutive months, and had been admitted for reasons other than metabolic decompensation of their diabetes mellitus. Cases were included successively in order of admission according to these selection criteria.\nFor the purposes of this study, patients were considered to be dependent if they scored 0 in the “responsibility for own medication” items on the Lawton and Brody scale.12 Caregivers were considered to be those involved in the care, support, and day-to-day looking after of the patient13 and responsible for administering medication to the patients (responsibility sometimes shared with other caregivers).\nThe patients were treated in line with the routine clinical criteria of the medical team whose care they were under. A change in therapy was considered to be any modification to the type of drug or the number of times the blood glucose-lowering medication was administered. A simple dose modification was not considered a change.\n Preparation of the questionnaire The research team, experienced in assessing satisfaction in a hospital setting, selected the dimensions they considered most relevant, and established the content for both versions of the questionnaire for assessing treatment satisfaction. The questions were then written with the characteristics of the target population (cultural level, degree of involvement, age, etc) in mind and the fact that the questionnaire would be administered in person-to-person interviews and interviews conducted over the telephone. Twelve questions were initially set, from which seven were selected by consensus. A pilot study was then carried out with ten participants to check whether or not the items were clear and easy to complete. Results of the pilot study indicated that questions 2, 4, and 5 of both versions needed to be rewritten (Tables 1 and 2). Additionally, a question regarding the caregiver degree of satisfaction with the patient’s blood glucose levels was included on the form.\nThe research team, experienced in assessing satisfaction in a hospital setting, selected the dimensions they considered most relevant, and established the content for both versions of the questionnaire for assessing treatment satisfaction. The questions were then written with the characteristics of the target population (cultural level, degree of involvement, age, etc) in mind and the fact that the questionnaire would be administered in person-to-person interviews and interviews conducted over the telephone. Twelve questions were initially set, from which seven were selected by consensus. A pilot study was then carried out with ten participants to check whether or not the items were clear and easy to complete. Results of the pilot study indicated that questions 2, 4, and 5 of both versions needed to be rewritten (Tables 1 and 2). Additionally, a question regarding the caregiver degree of satisfaction with the patient’s blood glucose levels was included on the form.\n Validation of the questionnaire Conducting the surveys The data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated.\n Statistical analysis The minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points).\nThe internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered.\nThe minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points).\nThe internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered.\n Conducting the surveys The data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated.\n Statistical analysis The minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points).\nThe internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered.\nThe minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points).\nThe internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered.\n Implementation of the questionnaire Conducting the surveys As stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way.\nDuring the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team.\nAs stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way.\nDuring the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team.\n Statistical analysis A descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance.\nA descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance.\n Conducting the surveys As stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way.\nDuring the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team.\nAs stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way.\nDuring the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team.\n Statistical analysis A descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance.\nA descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance.\n Ethical considerations Informed consent in writing was requested for participation in the study. The study was assessed and approved by the Complejo Asistencial Universitario de Salamanca Independent Ethics Committee.\nInformed consent in writing was requested for participation in the study. The study was assessed and approved by the Complejo Asistencial Universitario de Salamanca Independent Ethics Committee.", "The research team, experienced in assessing satisfaction in a hospital setting, selected the dimensions they considered most relevant, and established the content for both versions of the questionnaire for assessing treatment satisfaction. The questions were then written with the characteristics of the target population (cultural level, degree of involvement, age, etc) in mind and the fact that the questionnaire would be administered in person-to-person interviews and interviews conducted over the telephone. Twelve questions were initially set, from which seven were selected by consensus. A pilot study was then carried out with ten participants to check whether or not the items were clear and easy to complete. Results of the pilot study indicated that questions 2, 4, and 5 of both versions needed to be rewritten (Tables 1 and 2). Additionally, a question regarding the caregiver degree of satisfaction with the patient’s blood glucose levels was included on the form.", " Conducting the surveys The data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated.\n Statistical analysis The minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points).\nThe internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered.\nThe minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points).\nThe internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered.", "The data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated.", " Conducting the surveys As stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way.\nDuring the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team.\nAs stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way.\nDuring the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team.\n Statistical analysis A descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance.\nA descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance.", "As stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way.\nDuring the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team.", "A descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance.", "Informed consent in writing was requested for participation in the study. The study was assessed and approved by the Complejo Asistencial Universitario de Salamanca Independent Ethics Committee.", "Two versions of the questionnaire were created (Tables 1 and 2): the first (STCD2-a) to assess satisfaction with current treatment (“over the last few weeks”), and the second (STCD2-c) to assess satisfaction after a change in treatment (“over the last few months”). Both consist of seven questions with a five-response scale, from “Very satisfied” to “Very dissatisfied” in the first six items and from “I would definitely recommend it” to “I wouldn’t recommend it at all” in the last item. The first item refers to overall treatment satisfaction, the next five assess satisfaction in specific areas, and the final item concerns whether or not they would recommend the patient’s current treatment.", "A summary of the clinical and demographic data for the 219 patients included in the study and their caregivers is shown in Tables 3 and 4.", "The internal consistency of the STCD2-a was assessed in the entire sample (219 cases), with Cronbach’s α-coefficient being 0.93 (values above 0.7 are considered adequate).15 All the items correlated with each other (r=0.36–0.91, P<0.001). Test–retest reliability was analyzed in 88 cases interviewed by telephone after the hospital stay. The intraclass correlation coefficient was 0.96 (95% confidence interval [CI] 0.94–0.97, P<0.001).\nConstruct validity was demonstrated in the correlation matrix: all the items, as well as the overall satisfaction score, were correlated with the degree of satisfaction and with the blood glucose levels (r=0.40–0.86, P<0.001). All the items were correlated with the HbA1c figures (r=−0.24 to −0.35, P<0.001), except for satisfaction with their knowledge about diabetes (r=−0.07, P<0.05).\nIn the analysis of longitudinal validity, a significant correlation was demonstrated in the increase in the overall satisfaction index and the increased satisfaction with the blood glucose levels between the initial survey and the one carried out to assess the change (r=0.77, P<0.001). In four cases (1.8%) and 0 cases, respectively, extreme overall satisfaction scores were achieved (floor/ceiling effect).", "The validation of the change survey was carried out in 127 cases. Cronbach’s α-coefficient was 0.92. Correlation was demonstrated between all the items (r=0.33–0.79, P<0.001). In the test–retest reliability analysis, the intraclass correlation coefficient was 0.96 (95% CI 0.95–0.97, P<0.001).\nThe scores for all the questionnaire items and the overall satisfaction score were correlated with the satisfaction scores for the blood glucose levels (r=0.44–0.78, P<0.001). In eight cases (6.2%) and 0 cases, respectively, extreme scores were achieved (floor/ceiling effect).", "The STCD2-a questionnaire was administered to 219 caregivers. The average HbA1c levels of the patients they looked after were 7.4% (95% CI 7.2–7.5). A total of 101 (46.1%) cases were on insulin treatment, of which 14 (6.4%) were receiving treatment with rapid-acting insulin or analog, eleven (5.0%) with intermediate-acting insulin or analog, 24 (11.0%) with preloaded mixtures of rapid-acting insulin or analog plus intermediate-acting insulin or analog, and 69 (31.5%) with long-acting analog. A total of 141 (64.4%) were receiving an oral antidiabetic agent, and 23 (10.5%) cases insulin plus an oral antidiabetic agent.\nThe median number of daily administrations for the antidiabetic medication (insulin and/or oral antidiabetics) was two (one to six). The median caregivers’ satisfaction with the blood glucose levels was three (one to five), with a mean overall satisfaction of 24.8 points (95% CI 24.0–25.6). Caregivers were “very” or “somewhat” satisfied with what they knew about the treatment of diabetes in 32 (39.4%) cases. The caregivers with the highest scores for overall satisfaction were those who looked after the patients in a residential care setting (26.0, 95% CI 24.6–27.5), as opposed to those who did so at home (24.2, 95% CI 23.2–25.2; P<0.05). Among those caring at home, there was a correlation between the satisfaction score and the number of hours dedicated to caring for the patient (r=0.29, P<0.001). The caregivers who had no help at home (n=38) were more satisfied than those who received help (n=109) (26.4, 95% CI 22.3–24.5 versus 23.4, 95% CI 2.3–24.5; P<0.01), as did those who received payment for their work (n=8) than the informal caregivers (n=139) (28.3, 95% CI 25.6–30.9 versus 23.9, 95% CI 22.9–25.0; P<0.05).\nIn terms of the treatment administered, correlation was observed between the degree of satisfaction and the number of daily administrations of the blood glucose-lowering medication (r=−0.21, P<0.05).\nOverall satisfaction in each of the groups of global treatment is shown in Figure 1. Caregivers of patients treated with insulin plus an oral antidiabetic agent (n=23) had lower average satisfaction levels than the rest of the caregivers (n=196) (20.0, 95% CI 17.0–23.0 versus 25.3, 95% CI 24.5–26.1; P<0.001). This was also the case with caregivers of patients treated with rapid-acting insulin or analog (n=14) (20.6, 95% CI 16.5–24.8 versus 25.1, 95% CI 24.2–25.9; P<0.01) or intermediate-acting insulin or analog (n=11) (21.1, 95% CI 17.2–25.0 versus 25.0, 95% CI 24.1–25.8; P<0.05). On the other hand, caregivers of patients treated only with a long-acting insulin analog (n=52) had higher average satisfaction levels than the rest of the caregivers (n=167) (26.4, 95% CI 25.0–27.8 versus 24.3, 95% CI 23.3–25.2; P<0.01).", "The STCD2-c questionnaire was given to 127 caregivers of patients in whom the blood glucose-lowering treatment had been modified as described earlier. These caregivers had a lower average satisfaction score in the STCD2-c than the caregivers of patients in whom no treatment changes had been made (22.9, 95% CI 21.8–24.0 versus 27.3, 95% CI 26.3–28.3; P<0.001) and lower satisfaction scores for blood glucose levels (3.0, 95% CI 2.8–3.2 versus 3.7, 95% CI 3.5–3.9; P<0.001). There were no statistically significant differences between the two groups in HbA1c levels during the hospital stay.\nThe changes made to treatment were as follows: change in dosage, 39 cases (30.7%); switch from oral antidiabetic drug to insulin therapy, 25 cases (19.7%); discontinuation of all blood glucose-lowering medication, 19 cases (15%); change of oral antidiabetic drug, 16 cases (12.6%); change of type of insulin, 14 cases (11.0%); discontinuation of oral antidiabetic drug in an insulin-plus-antidiabetic regimen, 12 cases (9.4%); addition of a new insulin to the previous insulin regimen, one case (0.8%); and discontinuation of insulin therapy in an insulin-plus-antidiabetic regimen, one case (0.8%). Of the 40 cases in which insulin was added to the treatment, this was a long-acting insulin analog in 31 cases.\nThe median number of daily administrations for the anti-diabetic medication (insulin and/or oral antidiabetic) was one (zero to four). The degree of satisfaction with the change (the sum of scores for each of the items in the change questionnaire) was 27.3 (95% CI 26.4–28.2). Statistically significant differences in the questionnaire score were found based on the change in treatment between those with a change in the dosage and those with no dosage change (25.1, 95% CI 23.8–26.4 versus 28.3, 95% CI 27.1–29.5; P<0.01) and between those in whom all blood glucose-lowering medication was discontinued and all other changes (30.8, 95% CI 27.8–33.8 versus 26.6, 95% CI 25.7–27.5; P<0.01). Additionally, the cases in which a long-acting insulin analog was included in the new treatment had higher scores for the item referring to greater satisfaction with the patient’s blood glucose levels (4.6, 95% CI 4.3–4.9 versus 3.9, 95% CI 3.7–4.1; P<0.001) and for the item asking about greater satisfaction in terms of continuing with the treatment after the change (4.5, 95% CI 4.2–4.9 versus 4.0, 95% CI 3.8–4.2; P<0.01).\nCaregivers of patients receiving more frequent administration of their antidiabetic medication prior to the change were more satisfied with the change (r=0.24, P<0.001). Similarly, correlation was found between the number of daily administrations for blood glucose-lowering medication after the change and the degree of satisfaction (r=−0.43, P<0.001)." ]
[ "methods", null, null, "methods", null, "methods", "methods", null, null, null, null, null, null, null ]
[ "Introduction", "Patients and methods", "Preparation of the questionnaire", "Validation of the questionnaire", "Conducting the surveys", "Statistical analysis", "Implementation of the questionnaire", "Conducting the surveys", "Statistical analysis", "Ethical considerations", "Results", "Questionnaire", "Description of the sample", "Validation of the current-status version of the questionnaire", "Validation of the change version of the questionnaire", "Administration of the current-status version of the questionnaire", "Administration of the change version of the questionnaire", "Discussion" ]
[ "Satisfaction with treatment, knowledge about the disease, and assessment of the impact on the patient’s quality of life are all considered measurements for assessing results in clinical practice.1\nIn the case of diabetes mellitus, a number of different questionnaires have been designed to assess patient satisfaction with treatment. Some, like the Diabetes Treatment Satisfaction Questionnaire,2 are specific, while others, such as the Diabetes-Specific Quality-of-Life Scale3 and the Diabetes Quality of Life Clinical Trial Questionnaire,4 come under the category of quality-of-life assessments.\nHowever, when assessing satisfaction in dependent patients, the opinion of their carers becomes more important, since they are the ones administering the medication and it is they who will detect any side effects. Complex therapy regimens, insufficient or excessive treatments, poorly controlled disease, and other incidents can make the disease more difficult for caregivers to manage, requiring greater vigilance and increasing the caregivers’ workload. From this perspective, it is important to know how satisfied caregivers are with the treatments they administer.5\nSeveral studies have assessed caregiver/parent satisfaction with treatment in cases of children with type 1 diabetes.6,7 However, there is no such information available specifically for dependent type 2 diabetic patients. Nor have the characteristics which make up the caregiver profile in these cases been identified. Some studies point to the reduction in quality of life resulting from their workload,8,9 others report an increase in mental stress,10 while others emphasize the lack of specific training in relation to the burden of responsibility they take on.11\nIn this context, our objective was to develop, validate, and then administer two versions of a specific questionnaire to assess satisfaction with blood glucose-lowering treatment in caregivers of dependent type 2 diabetic patients. The first version (current-status version) was designed to assess current satisfaction with the treatment received, while the second (change version) was intended to assess satisfaction after introducing changes in blood glucose-lowering treatment.", "This was an observational, descriptive, epidemiological study conducted in the Los Montalvos Internal Medicine Department at Complejo Asistencial Universitario de Salamanca (Spain). Caregivers of dependent type 2 diabetic patients were invited to take part when the patients were on drug treatment to control their blood glucose levels, had been going to the department for 12 consecutive months, and had been admitted for reasons other than metabolic decompensation of their diabetes mellitus. Cases were included successively in order of admission according to these selection criteria.\nFor the purposes of this study, patients were considered to be dependent if they scored 0 in the “responsibility for own medication” items on the Lawton and Brody scale.12 Caregivers were considered to be those involved in the care, support, and day-to-day looking after of the patient13 and responsible for administering medication to the patients (responsibility sometimes shared with other caregivers).\nThe patients were treated in line with the routine clinical criteria of the medical team whose care they were under. A change in therapy was considered to be any modification to the type of drug or the number of times the blood glucose-lowering medication was administered. A simple dose modification was not considered a change.\n Preparation of the questionnaire The research team, experienced in assessing satisfaction in a hospital setting, selected the dimensions they considered most relevant, and established the content for both versions of the questionnaire for assessing treatment satisfaction. The questions were then written with the characteristics of the target population (cultural level, degree of involvement, age, etc) in mind and the fact that the questionnaire would be administered in person-to-person interviews and interviews conducted over the telephone. Twelve questions were initially set, from which seven were selected by consensus. A pilot study was then carried out with ten participants to check whether or not the items were clear and easy to complete. Results of the pilot study indicated that questions 2, 4, and 5 of both versions needed to be rewritten (Tables 1 and 2). Additionally, a question regarding the caregiver degree of satisfaction with the patient’s blood glucose levels was included on the form.\nThe research team, experienced in assessing satisfaction in a hospital setting, selected the dimensions they considered most relevant, and established the content for both versions of the questionnaire for assessing treatment satisfaction. The questions were then written with the characteristics of the target population (cultural level, degree of involvement, age, etc) in mind and the fact that the questionnaire would be administered in person-to-person interviews and interviews conducted over the telephone. Twelve questions were initially set, from which seven were selected by consensus. A pilot study was then carried out with ten participants to check whether or not the items were clear and easy to complete. Results of the pilot study indicated that questions 2, 4, and 5 of both versions needed to be rewritten (Tables 1 and 2). Additionally, a question regarding the caregiver degree of satisfaction with the patient’s blood glucose levels was included on the form.\n Validation of the questionnaire Conducting the surveys The data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated.\n Statistical analysis The minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points).\nThe internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered.\nThe minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points).\nThe internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered.\n Conducting the surveys The data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated.\n Statistical analysis The minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points).\nThe internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered.\nThe minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points).\nThe internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered.\n Implementation of the questionnaire Conducting the surveys As stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way.\nDuring the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team.\nAs stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way.\nDuring the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team.\n Statistical analysis A descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance.\nA descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance.\n Conducting the surveys As stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way.\nDuring the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team.\nAs stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way.\nDuring the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team.\n Statistical analysis A descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance.\nA descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance.\n Ethical considerations Informed consent in writing was requested for participation in the study. The study was assessed and approved by the Complejo Asistencial Universitario de Salamanca Independent Ethics Committee.\nInformed consent in writing was requested for participation in the study. The study was assessed and approved by the Complejo Asistencial Universitario de Salamanca Independent Ethics Committee.", "The research team, experienced in assessing satisfaction in a hospital setting, selected the dimensions they considered most relevant, and established the content for both versions of the questionnaire for assessing treatment satisfaction. The questions were then written with the characteristics of the target population (cultural level, degree of involvement, age, etc) in mind and the fact that the questionnaire would be administered in person-to-person interviews and interviews conducted over the telephone. Twelve questions were initially set, from which seven were selected by consensus. A pilot study was then carried out with ten participants to check whether or not the items were clear and easy to complete. Results of the pilot study indicated that questions 2, 4, and 5 of both versions needed to be rewritten (Tables 1 and 2). Additionally, a question regarding the caregiver degree of satisfaction with the patient’s blood glucose levels was included on the form.", " Conducting the surveys The data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated.\n Statistical analysis The minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points).\nThe internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered.\nThe minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points).\nThe internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered.", "The data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated.\nThe data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated.", "The minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points).\nThe internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered.", " Conducting the surveys As stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way.\nDuring the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team.\nAs stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way.\nDuring the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team.\n Statistical analysis A descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance.\nA descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance.", "As stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way.\nDuring the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team.", "A descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance.", "Informed consent in writing was requested for participation in the study. The study was assessed and approved by the Complejo Asistencial Universitario de Salamanca Independent Ethics Committee.", " Questionnaire Two versions of the questionnaire were created (Tables 1 and 2): the first (STCD2-a) to assess satisfaction with current treatment (“over the last few weeks”), and the second (STCD2-c) to assess satisfaction after a change in treatment (“over the last few months”). Both consist of seven questions with a five-response scale, from “Very satisfied” to “Very dissatisfied” in the first six items and from “I would definitely recommend it” to “I wouldn’t recommend it at all” in the last item. The first item refers to overall treatment satisfaction, the next five assess satisfaction in specific areas, and the final item concerns whether or not they would recommend the patient’s current treatment.\nTwo versions of the questionnaire were created (Tables 1 and 2): the first (STCD2-a) to assess satisfaction with current treatment (“over the last few weeks”), and the second (STCD2-c) to assess satisfaction after a change in treatment (“over the last few months”). Both consist of seven questions with a five-response scale, from “Very satisfied” to “Very dissatisfied” in the first six items and from “I would definitely recommend it” to “I wouldn’t recommend it at all” in the last item. The first item refers to overall treatment satisfaction, the next five assess satisfaction in specific areas, and the final item concerns whether or not they would recommend the patient’s current treatment.\n Description of the sample A summary of the clinical and demographic data for the 219 patients included in the study and their caregivers is shown in Tables 3 and 4.\nA summary of the clinical and demographic data for the 219 patients included in the study and their caregivers is shown in Tables 3 and 4.\n Validation of the current-status version of the questionnaire The internal consistency of the STCD2-a was assessed in the entire sample (219 cases), with Cronbach’s α-coefficient being 0.93 (values above 0.7 are considered adequate).15 All the items correlated with each other (r=0.36–0.91, P<0.001). Test–retest reliability was analyzed in 88 cases interviewed by telephone after the hospital stay. The intraclass correlation coefficient was 0.96 (95% confidence interval [CI] 0.94–0.97, P<0.001).\nConstruct validity was demonstrated in the correlation matrix: all the items, as well as the overall satisfaction score, were correlated with the degree of satisfaction and with the blood glucose levels (r=0.40–0.86, P<0.001). All the items were correlated with the HbA1c figures (r=−0.24 to −0.35, P<0.001), except for satisfaction with their knowledge about diabetes (r=−0.07, P<0.05).\nIn the analysis of longitudinal validity, a significant correlation was demonstrated in the increase in the overall satisfaction index and the increased satisfaction with the blood glucose levels between the initial survey and the one carried out to assess the change (r=0.77, P<0.001). In four cases (1.8%) and 0 cases, respectively, extreme overall satisfaction scores were achieved (floor/ceiling effect).\nThe internal consistency of the STCD2-a was assessed in the entire sample (219 cases), with Cronbach’s α-coefficient being 0.93 (values above 0.7 are considered adequate).15 All the items correlated with each other (r=0.36–0.91, P<0.001). Test–retest reliability was analyzed in 88 cases interviewed by telephone after the hospital stay. The intraclass correlation coefficient was 0.96 (95% confidence interval [CI] 0.94–0.97, P<0.001).\nConstruct validity was demonstrated in the correlation matrix: all the items, as well as the overall satisfaction score, were correlated with the degree of satisfaction and with the blood glucose levels (r=0.40–0.86, P<0.001). All the items were correlated with the HbA1c figures (r=−0.24 to −0.35, P<0.001), except for satisfaction with their knowledge about diabetes (r=−0.07, P<0.05).\nIn the analysis of longitudinal validity, a significant correlation was demonstrated in the increase in the overall satisfaction index and the increased satisfaction with the blood glucose levels between the initial survey and the one carried out to assess the change (r=0.77, P<0.001). In four cases (1.8%) and 0 cases, respectively, extreme overall satisfaction scores were achieved (floor/ceiling effect).\n Validation of the change version of the questionnaire The validation of the change survey was carried out in 127 cases. Cronbach’s α-coefficient was 0.92. Correlation was demonstrated between all the items (r=0.33–0.79, P<0.001). In the test–retest reliability analysis, the intraclass correlation coefficient was 0.96 (95% CI 0.95–0.97, P<0.001).\nThe scores for all the questionnaire items and the overall satisfaction score were correlated with the satisfaction scores for the blood glucose levels (r=0.44–0.78, P<0.001). In eight cases (6.2%) and 0 cases, respectively, extreme scores were achieved (floor/ceiling effect).\nThe validation of the change survey was carried out in 127 cases. Cronbach’s α-coefficient was 0.92. Correlation was demonstrated between all the items (r=0.33–0.79, P<0.001). In the test–retest reliability analysis, the intraclass correlation coefficient was 0.96 (95% CI 0.95–0.97, P<0.001).\nThe scores for all the questionnaire items and the overall satisfaction score were correlated with the satisfaction scores for the blood glucose levels (r=0.44–0.78, P<0.001). In eight cases (6.2%) and 0 cases, respectively, extreme scores were achieved (floor/ceiling effect).\n Administration of the current-status version of the questionnaire The STCD2-a questionnaire was administered to 219 caregivers. The average HbA1c levels of the patients they looked after were 7.4% (95% CI 7.2–7.5). A total of 101 (46.1%) cases were on insulin treatment, of which 14 (6.4%) were receiving treatment with rapid-acting insulin or analog, eleven (5.0%) with intermediate-acting insulin or analog, 24 (11.0%) with preloaded mixtures of rapid-acting insulin or analog plus intermediate-acting insulin or analog, and 69 (31.5%) with long-acting analog. A total of 141 (64.4%) were receiving an oral antidiabetic agent, and 23 (10.5%) cases insulin plus an oral antidiabetic agent.\nThe median number of daily administrations for the antidiabetic medication (insulin and/or oral antidiabetics) was two (one to six). The median caregivers’ satisfaction with the blood glucose levels was three (one to five), with a mean overall satisfaction of 24.8 points (95% CI 24.0–25.6). Caregivers were “very” or “somewhat” satisfied with what they knew about the treatment of diabetes in 32 (39.4%) cases. The caregivers with the highest scores for overall satisfaction were those who looked after the patients in a residential care setting (26.0, 95% CI 24.6–27.5), as opposed to those who did so at home (24.2, 95% CI 23.2–25.2; P<0.05). Among those caring at home, there was a correlation between the satisfaction score and the number of hours dedicated to caring for the patient (r=0.29, P<0.001). The caregivers who had no help at home (n=38) were more satisfied than those who received help (n=109) (26.4, 95% CI 22.3–24.5 versus 23.4, 95% CI 2.3–24.5; P<0.01), as did those who received payment for their work (n=8) than the informal caregivers (n=139) (28.3, 95% CI 25.6–30.9 versus 23.9, 95% CI 22.9–25.0; P<0.05).\nIn terms of the treatment administered, correlation was observed between the degree of satisfaction and the number of daily administrations of the blood glucose-lowering medication (r=−0.21, P<0.05).\nOverall satisfaction in each of the groups of global treatment is shown in Figure 1. Caregivers of patients treated with insulin plus an oral antidiabetic agent (n=23) had lower average satisfaction levels than the rest of the caregivers (n=196) (20.0, 95% CI 17.0–23.0 versus 25.3, 95% CI 24.5–26.1; P<0.001). This was also the case with caregivers of patients treated with rapid-acting insulin or analog (n=14) (20.6, 95% CI 16.5–24.8 versus 25.1, 95% CI 24.2–25.9; P<0.01) or intermediate-acting insulin or analog (n=11) (21.1, 95% CI 17.2–25.0 versus 25.0, 95% CI 24.1–25.8; P<0.05). On the other hand, caregivers of patients treated only with a long-acting insulin analog (n=52) had higher average satisfaction levels than the rest of the caregivers (n=167) (26.4, 95% CI 25.0–27.8 versus 24.3, 95% CI 23.3–25.2; P<0.01).\nThe STCD2-a questionnaire was administered to 219 caregivers. The average HbA1c levels of the patients they looked after were 7.4% (95% CI 7.2–7.5). A total of 101 (46.1%) cases were on insulin treatment, of which 14 (6.4%) were receiving treatment with rapid-acting insulin or analog, eleven (5.0%) with intermediate-acting insulin or analog, 24 (11.0%) with preloaded mixtures of rapid-acting insulin or analog plus intermediate-acting insulin or analog, and 69 (31.5%) with long-acting analog. A total of 141 (64.4%) were receiving an oral antidiabetic agent, and 23 (10.5%) cases insulin plus an oral antidiabetic agent.\nThe median number of daily administrations for the antidiabetic medication (insulin and/or oral antidiabetics) was two (one to six). The median caregivers’ satisfaction with the blood glucose levels was three (one to five), with a mean overall satisfaction of 24.8 points (95% CI 24.0–25.6). Caregivers were “very” or “somewhat” satisfied with what they knew about the treatment of diabetes in 32 (39.4%) cases. The caregivers with the highest scores for overall satisfaction were those who looked after the patients in a residential care setting (26.0, 95% CI 24.6–27.5), as opposed to those who did so at home (24.2, 95% CI 23.2–25.2; P<0.05). Among those caring at home, there was a correlation between the satisfaction score and the number of hours dedicated to caring for the patient (r=0.29, P<0.001). The caregivers who had no help at home (n=38) were more satisfied than those who received help (n=109) (26.4, 95% CI 22.3–24.5 versus 23.4, 95% CI 2.3–24.5; P<0.01), as did those who received payment for their work (n=8) than the informal caregivers (n=139) (28.3, 95% CI 25.6–30.9 versus 23.9, 95% CI 22.9–25.0; P<0.05).\nIn terms of the treatment administered, correlation was observed between the degree of satisfaction and the number of daily administrations of the blood glucose-lowering medication (r=−0.21, P<0.05).\nOverall satisfaction in each of the groups of global treatment is shown in Figure 1. Caregivers of patients treated with insulin plus an oral antidiabetic agent (n=23) had lower average satisfaction levels than the rest of the caregivers (n=196) (20.0, 95% CI 17.0–23.0 versus 25.3, 95% CI 24.5–26.1; P<0.001). This was also the case with caregivers of patients treated with rapid-acting insulin or analog (n=14) (20.6, 95% CI 16.5–24.8 versus 25.1, 95% CI 24.2–25.9; P<0.01) or intermediate-acting insulin or analog (n=11) (21.1, 95% CI 17.2–25.0 versus 25.0, 95% CI 24.1–25.8; P<0.05). On the other hand, caregivers of patients treated only with a long-acting insulin analog (n=52) had higher average satisfaction levels than the rest of the caregivers (n=167) (26.4, 95% CI 25.0–27.8 versus 24.3, 95% CI 23.3–25.2; P<0.01).\n Administration of the change version of the questionnaire The STCD2-c questionnaire was given to 127 caregivers of patients in whom the blood glucose-lowering treatment had been modified as described earlier. These caregivers had a lower average satisfaction score in the STCD2-c than the caregivers of patients in whom no treatment changes had been made (22.9, 95% CI 21.8–24.0 versus 27.3, 95% CI 26.3–28.3; P<0.001) and lower satisfaction scores for blood glucose levels (3.0, 95% CI 2.8–3.2 versus 3.7, 95% CI 3.5–3.9; P<0.001). There were no statistically significant differences between the two groups in HbA1c levels during the hospital stay.\nThe changes made to treatment were as follows: change in dosage, 39 cases (30.7%); switch from oral antidiabetic drug to insulin therapy, 25 cases (19.7%); discontinuation of all blood glucose-lowering medication, 19 cases (15%); change of oral antidiabetic drug, 16 cases (12.6%); change of type of insulin, 14 cases (11.0%); discontinuation of oral antidiabetic drug in an insulin-plus-antidiabetic regimen, 12 cases (9.4%); addition of a new insulin to the previous insulin regimen, one case (0.8%); and discontinuation of insulin therapy in an insulin-plus-antidiabetic regimen, one case (0.8%). Of the 40 cases in which insulin was added to the treatment, this was a long-acting insulin analog in 31 cases.\nThe median number of daily administrations for the anti-diabetic medication (insulin and/or oral antidiabetic) was one (zero to four). The degree of satisfaction with the change (the sum of scores for each of the items in the change questionnaire) was 27.3 (95% CI 26.4–28.2). Statistically significant differences in the questionnaire score were found based on the change in treatment between those with a change in the dosage and those with no dosage change (25.1, 95% CI 23.8–26.4 versus 28.3, 95% CI 27.1–29.5; P<0.01) and between those in whom all blood glucose-lowering medication was discontinued and all other changes (30.8, 95% CI 27.8–33.8 versus 26.6, 95% CI 25.7–27.5; P<0.01). Additionally, the cases in which a long-acting insulin analog was included in the new treatment had higher scores for the item referring to greater satisfaction with the patient’s blood glucose levels (4.6, 95% CI 4.3–4.9 versus 3.9, 95% CI 3.7–4.1; P<0.001) and for the item asking about greater satisfaction in terms of continuing with the treatment after the change (4.5, 95% CI 4.2–4.9 versus 4.0, 95% CI 3.8–4.2; P<0.01).\nCaregivers of patients receiving more frequent administration of their antidiabetic medication prior to the change were more satisfied with the change (r=0.24, P<0.001). Similarly, correlation was found between the number of daily administrations for blood glucose-lowering medication after the change and the degree of satisfaction (r=−0.43, P<0.001).\nThe STCD2-c questionnaire was given to 127 caregivers of patients in whom the blood glucose-lowering treatment had been modified as described earlier. These caregivers had a lower average satisfaction score in the STCD2-c than the caregivers of patients in whom no treatment changes had been made (22.9, 95% CI 21.8–24.0 versus 27.3, 95% CI 26.3–28.3; P<0.001) and lower satisfaction scores for blood glucose levels (3.0, 95% CI 2.8–3.2 versus 3.7, 95% CI 3.5–3.9; P<0.001). There were no statistically significant differences between the two groups in HbA1c levels during the hospital stay.\nThe changes made to treatment were as follows: change in dosage, 39 cases (30.7%); switch from oral antidiabetic drug to insulin therapy, 25 cases (19.7%); discontinuation of all blood glucose-lowering medication, 19 cases (15%); change of oral antidiabetic drug, 16 cases (12.6%); change of type of insulin, 14 cases (11.0%); discontinuation of oral antidiabetic drug in an insulin-plus-antidiabetic regimen, 12 cases (9.4%); addition of a new insulin to the previous insulin regimen, one case (0.8%); and discontinuation of insulin therapy in an insulin-plus-antidiabetic regimen, one case (0.8%). Of the 40 cases in which insulin was added to the treatment, this was a long-acting insulin analog in 31 cases.\nThe median number of daily administrations for the anti-diabetic medication (insulin and/or oral antidiabetic) was one (zero to four). The degree of satisfaction with the change (the sum of scores for each of the items in the change questionnaire) was 27.3 (95% CI 26.4–28.2). Statistically significant differences in the questionnaire score were found based on the change in treatment between those with a change in the dosage and those with no dosage change (25.1, 95% CI 23.8–26.4 versus 28.3, 95% CI 27.1–29.5; P<0.01) and between those in whom all blood glucose-lowering medication was discontinued and all other changes (30.8, 95% CI 27.8–33.8 versus 26.6, 95% CI 25.7–27.5; P<0.01). Additionally, the cases in which a long-acting insulin analog was included in the new treatment had higher scores for the item referring to greater satisfaction with the patient’s blood glucose levels (4.6, 95% CI 4.3–4.9 versus 3.9, 95% CI 3.7–4.1; P<0.001) and for the item asking about greater satisfaction in terms of continuing with the treatment after the change (4.5, 95% CI 4.2–4.9 versus 4.0, 95% CI 3.8–4.2; P<0.01).\nCaregivers of patients receiving more frequent administration of their antidiabetic medication prior to the change were more satisfied with the change (r=0.24, P<0.001). Similarly, correlation was found between the number of daily administrations for blood glucose-lowering medication after the change and the degree of satisfaction (r=−0.43, P<0.001).", "Two versions of the questionnaire were created (Tables 1 and 2): the first (STCD2-a) to assess satisfaction with current treatment (“over the last few weeks”), and the second (STCD2-c) to assess satisfaction after a change in treatment (“over the last few months”). Both consist of seven questions with a five-response scale, from “Very satisfied” to “Very dissatisfied” in the first six items and from “I would definitely recommend it” to “I wouldn’t recommend it at all” in the last item. The first item refers to overall treatment satisfaction, the next five assess satisfaction in specific areas, and the final item concerns whether or not they would recommend the patient’s current treatment.", "A summary of the clinical and demographic data for the 219 patients included in the study and their caregivers is shown in Tables 3 and 4.", "The internal consistency of the STCD2-a was assessed in the entire sample (219 cases), with Cronbach’s α-coefficient being 0.93 (values above 0.7 are considered adequate).15 All the items correlated with each other (r=0.36–0.91, P<0.001). Test–retest reliability was analyzed in 88 cases interviewed by telephone after the hospital stay. The intraclass correlation coefficient was 0.96 (95% confidence interval [CI] 0.94–0.97, P<0.001).\nConstruct validity was demonstrated in the correlation matrix: all the items, as well as the overall satisfaction score, were correlated with the degree of satisfaction and with the blood glucose levels (r=0.40–0.86, P<0.001). All the items were correlated with the HbA1c figures (r=−0.24 to −0.35, P<0.001), except for satisfaction with their knowledge about diabetes (r=−0.07, P<0.05).\nIn the analysis of longitudinal validity, a significant correlation was demonstrated in the increase in the overall satisfaction index and the increased satisfaction with the blood glucose levels between the initial survey and the one carried out to assess the change (r=0.77, P<0.001). In four cases (1.8%) and 0 cases, respectively, extreme overall satisfaction scores were achieved (floor/ceiling effect).", "The validation of the change survey was carried out in 127 cases. Cronbach’s α-coefficient was 0.92. Correlation was demonstrated between all the items (r=0.33–0.79, P<0.001). In the test–retest reliability analysis, the intraclass correlation coefficient was 0.96 (95% CI 0.95–0.97, P<0.001).\nThe scores for all the questionnaire items and the overall satisfaction score were correlated with the satisfaction scores for the blood glucose levels (r=0.44–0.78, P<0.001). In eight cases (6.2%) and 0 cases, respectively, extreme scores were achieved (floor/ceiling effect).", "The STCD2-a questionnaire was administered to 219 caregivers. The average HbA1c levels of the patients they looked after were 7.4% (95% CI 7.2–7.5). A total of 101 (46.1%) cases were on insulin treatment, of which 14 (6.4%) were receiving treatment with rapid-acting insulin or analog, eleven (5.0%) with intermediate-acting insulin or analog, 24 (11.0%) with preloaded mixtures of rapid-acting insulin or analog plus intermediate-acting insulin or analog, and 69 (31.5%) with long-acting analog. A total of 141 (64.4%) were receiving an oral antidiabetic agent, and 23 (10.5%) cases insulin plus an oral antidiabetic agent.\nThe median number of daily administrations for the antidiabetic medication (insulin and/or oral antidiabetics) was two (one to six). The median caregivers’ satisfaction with the blood glucose levels was three (one to five), with a mean overall satisfaction of 24.8 points (95% CI 24.0–25.6). Caregivers were “very” or “somewhat” satisfied with what they knew about the treatment of diabetes in 32 (39.4%) cases. The caregivers with the highest scores for overall satisfaction were those who looked after the patients in a residential care setting (26.0, 95% CI 24.6–27.5), as opposed to those who did so at home (24.2, 95% CI 23.2–25.2; P<0.05). Among those caring at home, there was a correlation between the satisfaction score and the number of hours dedicated to caring for the patient (r=0.29, P<0.001). The caregivers who had no help at home (n=38) were more satisfied than those who received help (n=109) (26.4, 95% CI 22.3–24.5 versus 23.4, 95% CI 2.3–24.5; P<0.01), as did those who received payment for their work (n=8) than the informal caregivers (n=139) (28.3, 95% CI 25.6–30.9 versus 23.9, 95% CI 22.9–25.0; P<0.05).\nIn terms of the treatment administered, correlation was observed between the degree of satisfaction and the number of daily administrations of the blood glucose-lowering medication (r=−0.21, P<0.05).\nOverall satisfaction in each of the groups of global treatment is shown in Figure 1. Caregivers of patients treated with insulin plus an oral antidiabetic agent (n=23) had lower average satisfaction levels than the rest of the caregivers (n=196) (20.0, 95% CI 17.0–23.0 versus 25.3, 95% CI 24.5–26.1; P<0.001). This was also the case with caregivers of patients treated with rapid-acting insulin or analog (n=14) (20.6, 95% CI 16.5–24.8 versus 25.1, 95% CI 24.2–25.9; P<0.01) or intermediate-acting insulin or analog (n=11) (21.1, 95% CI 17.2–25.0 versus 25.0, 95% CI 24.1–25.8; P<0.05). On the other hand, caregivers of patients treated only with a long-acting insulin analog (n=52) had higher average satisfaction levels than the rest of the caregivers (n=167) (26.4, 95% CI 25.0–27.8 versus 24.3, 95% CI 23.3–25.2; P<0.01).", "The STCD2-c questionnaire was given to 127 caregivers of patients in whom the blood glucose-lowering treatment had been modified as described earlier. These caregivers had a lower average satisfaction score in the STCD2-c than the caregivers of patients in whom no treatment changes had been made (22.9, 95% CI 21.8–24.0 versus 27.3, 95% CI 26.3–28.3; P<0.001) and lower satisfaction scores for blood glucose levels (3.0, 95% CI 2.8–3.2 versus 3.7, 95% CI 3.5–3.9; P<0.001). There were no statistically significant differences between the two groups in HbA1c levels during the hospital stay.\nThe changes made to treatment were as follows: change in dosage, 39 cases (30.7%); switch from oral antidiabetic drug to insulin therapy, 25 cases (19.7%); discontinuation of all blood glucose-lowering medication, 19 cases (15%); change of oral antidiabetic drug, 16 cases (12.6%); change of type of insulin, 14 cases (11.0%); discontinuation of oral antidiabetic drug in an insulin-plus-antidiabetic regimen, 12 cases (9.4%); addition of a new insulin to the previous insulin regimen, one case (0.8%); and discontinuation of insulin therapy in an insulin-plus-antidiabetic regimen, one case (0.8%). Of the 40 cases in which insulin was added to the treatment, this was a long-acting insulin analog in 31 cases.\nThe median number of daily administrations for the anti-diabetic medication (insulin and/or oral antidiabetic) was one (zero to four). The degree of satisfaction with the change (the sum of scores for each of the items in the change questionnaire) was 27.3 (95% CI 26.4–28.2). Statistically significant differences in the questionnaire score were found based on the change in treatment between those with a change in the dosage and those with no dosage change (25.1, 95% CI 23.8–26.4 versus 28.3, 95% CI 27.1–29.5; P<0.01) and between those in whom all blood glucose-lowering medication was discontinued and all other changes (30.8, 95% CI 27.8–33.8 versus 26.6, 95% CI 25.7–27.5; P<0.01). Additionally, the cases in which a long-acting insulin analog was included in the new treatment had higher scores for the item referring to greater satisfaction with the patient’s blood glucose levels (4.6, 95% CI 4.3–4.9 versus 3.9, 95% CI 3.7–4.1; P<0.001) and for the item asking about greater satisfaction in terms of continuing with the treatment after the change (4.5, 95% CI 4.2–4.9 versus 4.0, 95% CI 3.8–4.2; P<0.01).\nCaregivers of patients receiving more frequent administration of their antidiabetic medication prior to the change were more satisfied with the change (r=0.24, P<0.001). Similarly, correlation was found between the number of daily administrations for blood glucose-lowering medication after the change and the degree of satisfaction (r=−0.43, P<0.001).", "This paper describes how the first questionnaires on satisfaction with blood glucose-lowering treatment for caregivers of dependent type 2 diabetic patients were designed, validated, and then implemented. The research team considers that the degree of satisfaction felt by caregivers for the different aspects of the blood glucose-lowering treatment they administer to patients should be considered when planning the treatment.16 Implicit in the satisfaction is the degree of caregiver involvement, adherence to treatment, and lastly better care of these patients.17\nSatisfaction with health care services is a complex concept that is related to a great variety of factors, such as way of life, previous experiences, expectations of the future, and values of the individual and of society.18 It is not surprising, therefore, that in our individual talks with the investigated caregivers, we were listening to different criteria to justify their degree of satisfaction with the treatment that they were administering to the patients. Some of these criteria (acceptance of the treatment by the patient, easiness of administration, number of doses) were specifically investigated in the tests. Other questions, such as the perception of the evolution of the disease, may have also had a variable weight (which is not quantified in this study) in the degree of expressed satisfaction of the surveyed caregivers.\nThe average age of the patients included in the study was over 84 years. Most patients came from their homes, not residential care, and there was a predominance of informal, unpaid caregivers (in our case, they were family caregivers, since there were no voluntary workers). These characteristics are similar to those in published studies on dependent patients,19 although this is often a result of the selection criteria applied. Some studies based on surveys of caregivers on different aspects exclude institutionalized patients, in order to avoid a positive bias (better training of the caregivers, various caregivers involved, easier access to information through residential care staff, etc).20 Other studies prefer informal caregivers when analyzing satisfaction aspects, because they have been shown to have a greater degree of involvement in the care of the patient and a greater degree of responsibility.9\nCaregivers who work in residences for the elderly have a greater degree of overall satisfaction than caregivers in the home setting, possibly because the residences have more suitable material and human resources at their disposal in terms of providing health care. The paid caregivers also had higher overall satisfaction scores than the informal caregivers. This has been observed in other studies on caregiver satisfaction and stress, with stress levels always lower in the paid workers.5 However, although informal caregivers generally had lower satisfaction scores, it was found that the more time they spent caring for the patient (often because there was no other caregiver to share the work), the higher their degree of satisfaction. This highlights a greater degree of involvement and dedication among informal caregivers.16 This major implication and satisfaction with the administration of treatment can be explained in the context of the traditional concept of the Spanish family, probably still firmly rooted in a significant number of caregivers in the study, in which the self-sacrificing care of the older ones on the part of their direct relatives is considered to be a social value and a privilege.\nIn terms of overall satisfaction, the most satisfied caregivers were those who had to administer medication less frequently. This greater degree of satisfaction also correlated with lower HbA1c levels. Consequently, in our study, caregiver satisfaction was associated with better metabolic control in the dependent diabetic patients, which has also been observed indirectly in other studies on satisfaction with diabetes treatment.3\nThe study was designed so that patients would be treated according to the routine clinical criteria of their internal medicine specialist. The treatment changes applied were not subject to any other norms. Taking the patient type into account (elderly, dependent, multiple medications, and multiple disorders), the objective of the treatment was not only to control HbA1c levels, but as in other studies conducted with elderly patients, it was also considered equally important to simplify the treatment, make administration easier, and above all prevent hypoglycemia.21\nThe mean scores for overall satisfaction and satisfaction with blood glucose levels in the STCD2-c were lower for the caregivers of patients whose treatment was changed than for the caregivers of patients in whom no treatment change was made. It would therefore seem that the caregivers and the physicians had similar criteria in terms of assessing the need for a change in treatment.\nComparison of the questionnaires showed that where changes were made, the degree of satisfaction increased, with the most appreciated change being discontinuation of all blood glucose-lowering medication. Significant differences were also observed in the increase in overall satisfaction as the number of medication administration times reduced after the change. This once more highlights the fact that simplifying the treatment is one of the most influential factors on satisfaction.22\nCaregivers of patients receiving only a long-acting insulin analog showed an overall satisfaction index score higher than those of the patients of the remaining therapeutic groups. Also, when introduced in the treatment change, once-a-day administration of long-acting insulin or analog made the caregivers more likely to feel satisfied with the blood glucose levels and to recommend the treatment to others. Similarly to other studies on satisfaction and diabetes, despite the fact that many of these patients changed from taking tablets to needing medication by injection, the good blood glucose control and the ease of administration were highly appreciated by the caregivers.23\nSeveral studies have addressed satisfaction with treatment in the case of the caregivers, eg, on parents of type 1 diabetic children in which special attention is paid in evaluating the perception that the parents have about the incidence and managing of hyper- and hypoglycemias.24 Nevertheless, to the best of our knowledge, there are no previous studies measuring satisfaction with treatment in caregivers of dependent type 2 diabetes patients in whom mainly the results of the application of quality-of-life questionnaires have been published.25 For this reason, we cannot compare our results with similar investigations in the field of diabetes.\nIn our opinion, knowing how satisfied caregivers of type 2 diabetic patients are with the treatment is an essential factor when planning the treatment. Having administered our innovative questionnaire to a group of Spanish patients, results suggest that the simplicity of the antidiabetic treatment must be taken into account when planning treatment for dependent type 2 diabetic patients when caregiver satisfaction is an additional objective. The validation and application of questionnaires of similar structure might be also useful in other therapeutic areas (eg, arterial hypertension, hyperlipidemias)." ]
[ "intro", "methods", null, null, "methods", "methods", null, "methods", "methods", null, "results", null, null, null, null, null, null, "discussion" ]
[ "satisfaction questionnaire", "caregivers", "type 2 diabetes", "dependent patients" ]
Introduction: Satisfaction with treatment, knowledge about the disease, and assessment of the impact on the patient’s quality of life are all considered measurements for assessing results in clinical practice.1 In the case of diabetes mellitus, a number of different questionnaires have been designed to assess patient satisfaction with treatment. Some, like the Diabetes Treatment Satisfaction Questionnaire,2 are specific, while others, such as the Diabetes-Specific Quality-of-Life Scale3 and the Diabetes Quality of Life Clinical Trial Questionnaire,4 come under the category of quality-of-life assessments. However, when assessing satisfaction in dependent patients, the opinion of their carers becomes more important, since they are the ones administering the medication and it is they who will detect any side effects. Complex therapy regimens, insufficient or excessive treatments, poorly controlled disease, and other incidents can make the disease more difficult for caregivers to manage, requiring greater vigilance and increasing the caregivers’ workload. From this perspective, it is important to know how satisfied caregivers are with the treatments they administer.5 Several studies have assessed caregiver/parent satisfaction with treatment in cases of children with type 1 diabetes.6,7 However, there is no such information available specifically for dependent type 2 diabetic patients. Nor have the characteristics which make up the caregiver profile in these cases been identified. Some studies point to the reduction in quality of life resulting from their workload,8,9 others report an increase in mental stress,10 while others emphasize the lack of specific training in relation to the burden of responsibility they take on.11 In this context, our objective was to develop, validate, and then administer two versions of a specific questionnaire to assess satisfaction with blood glucose-lowering treatment in caregivers of dependent type 2 diabetic patients. The first version (current-status version) was designed to assess current satisfaction with the treatment received, while the second (change version) was intended to assess satisfaction after introducing changes in blood glucose-lowering treatment. Patients and methods: This was an observational, descriptive, epidemiological study conducted in the Los Montalvos Internal Medicine Department at Complejo Asistencial Universitario de Salamanca (Spain). Caregivers of dependent type 2 diabetic patients were invited to take part when the patients were on drug treatment to control their blood glucose levels, had been going to the department for 12 consecutive months, and had been admitted for reasons other than metabolic decompensation of their diabetes mellitus. Cases were included successively in order of admission according to these selection criteria. For the purposes of this study, patients were considered to be dependent if they scored 0 in the “responsibility for own medication” items on the Lawton and Brody scale.12 Caregivers were considered to be those involved in the care, support, and day-to-day looking after of the patient13 and responsible for administering medication to the patients (responsibility sometimes shared with other caregivers). The patients were treated in line with the routine clinical criteria of the medical team whose care they were under. A change in therapy was considered to be any modification to the type of drug or the number of times the blood glucose-lowering medication was administered. A simple dose modification was not considered a change. Preparation of the questionnaire The research team, experienced in assessing satisfaction in a hospital setting, selected the dimensions they considered most relevant, and established the content for both versions of the questionnaire for assessing treatment satisfaction. The questions were then written with the characteristics of the target population (cultural level, degree of involvement, age, etc) in mind and the fact that the questionnaire would be administered in person-to-person interviews and interviews conducted over the telephone. Twelve questions were initially set, from which seven were selected by consensus. A pilot study was then carried out with ten participants to check whether or not the items were clear and easy to complete. Results of the pilot study indicated that questions 2, 4, and 5 of both versions needed to be rewritten (Tables 1 and 2). Additionally, a question regarding the caregiver degree of satisfaction with the patient’s blood glucose levels was included on the form. The research team, experienced in assessing satisfaction in a hospital setting, selected the dimensions they considered most relevant, and established the content for both versions of the questionnaire for assessing treatment satisfaction. The questions were then written with the characteristics of the target population (cultural level, degree of involvement, age, etc) in mind and the fact that the questionnaire would be administered in person-to-person interviews and interviews conducted over the telephone. Twelve questions were initially set, from which seven were selected by consensus. A pilot study was then carried out with ten participants to check whether or not the items were clear and easy to complete. Results of the pilot study indicated that questions 2, 4, and 5 of both versions needed to be rewritten (Tables 1 and 2). Additionally, a question regarding the caregiver degree of satisfaction with the patient’s blood glucose levels was included on the form. Validation of the questionnaire Conducting the surveys The data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated. The data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated. The data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated. The data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated. Statistical analysis The minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points). The internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered. The minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points). The internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered. Conducting the surveys The data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated. The data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated. The data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated. The data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated. Statistical analysis The minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points). The internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered. The minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points). The internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered. Implementation of the questionnaire Conducting the surveys As stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way. During the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team. As stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way. During the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team. Statistical analysis A descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance. A descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance. Conducting the surveys As stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way. During the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team. As stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way. During the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team. Statistical analysis A descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance. A descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance. Ethical considerations Informed consent in writing was requested for participation in the study. The study was assessed and approved by the Complejo Asistencial Universitario de Salamanca Independent Ethics Committee. Informed consent in writing was requested for participation in the study. The study was assessed and approved by the Complejo Asistencial Universitario de Salamanca Independent Ethics Committee. Preparation of the questionnaire: The research team, experienced in assessing satisfaction in a hospital setting, selected the dimensions they considered most relevant, and established the content for both versions of the questionnaire for assessing treatment satisfaction. The questions were then written with the characteristics of the target population (cultural level, degree of involvement, age, etc) in mind and the fact that the questionnaire would be administered in person-to-person interviews and interviews conducted over the telephone. Twelve questions were initially set, from which seven were selected by consensus. A pilot study was then carried out with ten participants to check whether or not the items were clear and easy to complete. Results of the pilot study indicated that questions 2, 4, and 5 of both versions needed to be rewritten (Tables 1 and 2). Additionally, a question regarding the caregiver degree of satisfaction with the patient’s blood glucose levels was included on the form. Validation of the questionnaire: Conducting the surveys The data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated. The data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated. The data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated. The data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated. Statistical analysis The minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points). The internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered. The minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points). The internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered. Conducting the surveys: The data used to validate the current-status version of the questionnaire (Satisfacción con el Tratamiento, de los Cuidadores de pacientes Diabéticos Dependientes tipo 2 [versión actual] [STCD2-a]; [Treatment Satisfaction among Caregivers of Dependent Type 2 Diabetic Patients]) were obtained in person-to-person interviews with caregivers and in telephone interviews conducted 4 weeks later in which the questionnaire was repeated. The data used to validate the change version of the questionnaire (STCD2-c) were obtained in telephone interviews carried out 8 weeks after discharge from hospital (in those cases where the blood glucose-lowering medication had been changed during hospital admission) and further telephone interviews 4 weeks later in which the questionnaire was repeated. Statistical analysis: The minimum number of participants necessary to validate each of the versions was determined using the Streiner and Norman methodology.14 A scoring system was established ranging from 5 points to 1 point for each of the questionnaire items (5= “Very satisfied”, 4= “Somewhat satisfied”, 3= “Neither satisfied nor dissatisfied”, 2= “Somewhat dissatisfied”, and 1= “Very dissatisfied”). An overall satisfaction index was defined as the sum of the scores for the seven items (minimum 7 points, maximum 35 points). The internal consistency of the survey was calculated using Cronbach’s α-coefficient. Test–retest reliability was analyzed by calculating the intraclass correlation coefficient between the two administration times for each version of the questionnaire. Construct validity was investigated by estimating the Spearman correlation between the individual and overall scores for the questionnaires and the HbA1c figures and/or levels of satisfaction with the patient’s blood glucose levels. The longitudinal validity of the STCD2-a was analyzed by studying the Spearman correlation between the variations in overall satisfaction scores and those for satisfaction with the patient’s blood glucose levels at the time the STCD2-c was administered. Implementation of the questionnaire: Conducting the surveys As stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way. During the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team. As stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way. During the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team. Statistical analysis A descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance. A descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance. Conducting the surveys: As stated earlier, the STCD2-a was administered to caregivers in a person-to-person interview conducted at the hospital during the time the patients were admitted. The STCD2-c was administered over the telephone 8 weeks after discharge from hospital in those cases in which the treatment had been modified in some way. During the hospital stay, clinical and epidemiological data were collected for the patient, along with demographic information about the caregiver. Both the initial questionnaires and those carried out after the change in medication (when applicable) were administered by members of the investigating medical team. Statistical analysis: A descriptive analysis was done of the epidemiological and clinical variables collected for the patients and their caregivers during the hospital stay. The Spearman test was used to study correlations. Quantitative variables (including the overall score for the questionnaires) were compared using Student’s t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data. SPSS 15.0 for Windows statistics software was used. In all cases, a significance level of α=0.05 was established as the limit for statistical significance. Ethical considerations: Informed consent in writing was requested for participation in the study. The study was assessed and approved by the Complejo Asistencial Universitario de Salamanca Independent Ethics Committee. Results: Questionnaire Two versions of the questionnaire were created (Tables 1 and 2): the first (STCD2-a) to assess satisfaction with current treatment (“over the last few weeks”), and the second (STCD2-c) to assess satisfaction after a change in treatment (“over the last few months”). Both consist of seven questions with a five-response scale, from “Very satisfied” to “Very dissatisfied” in the first six items and from “I would definitely recommend it” to “I wouldn’t recommend it at all” in the last item. The first item refers to overall treatment satisfaction, the next five assess satisfaction in specific areas, and the final item concerns whether or not they would recommend the patient’s current treatment. Two versions of the questionnaire were created (Tables 1 and 2): the first (STCD2-a) to assess satisfaction with current treatment (“over the last few weeks”), and the second (STCD2-c) to assess satisfaction after a change in treatment (“over the last few months”). Both consist of seven questions with a five-response scale, from “Very satisfied” to “Very dissatisfied” in the first six items and from “I would definitely recommend it” to “I wouldn’t recommend it at all” in the last item. The first item refers to overall treatment satisfaction, the next five assess satisfaction in specific areas, and the final item concerns whether or not they would recommend the patient’s current treatment. Description of the sample A summary of the clinical and demographic data for the 219 patients included in the study and their caregivers is shown in Tables 3 and 4. A summary of the clinical and demographic data for the 219 patients included in the study and their caregivers is shown in Tables 3 and 4. Validation of the current-status version of the questionnaire The internal consistency of the STCD2-a was assessed in the entire sample (219 cases), with Cronbach’s α-coefficient being 0.93 (values above 0.7 are considered adequate).15 All the items correlated with each other (r=0.36–0.91, P<0.001). Test–retest reliability was analyzed in 88 cases interviewed by telephone after the hospital stay. The intraclass correlation coefficient was 0.96 (95% confidence interval [CI] 0.94–0.97, P<0.001). Construct validity was demonstrated in the correlation matrix: all the items, as well as the overall satisfaction score, were correlated with the degree of satisfaction and with the blood glucose levels (r=0.40–0.86, P<0.001). All the items were correlated with the HbA1c figures (r=−0.24 to −0.35, P<0.001), except for satisfaction with their knowledge about diabetes (r=−0.07, P<0.05). In the analysis of longitudinal validity, a significant correlation was demonstrated in the increase in the overall satisfaction index and the increased satisfaction with the blood glucose levels between the initial survey and the one carried out to assess the change (r=0.77, P<0.001). In four cases (1.8%) and 0 cases, respectively, extreme overall satisfaction scores were achieved (floor/ceiling effect). The internal consistency of the STCD2-a was assessed in the entire sample (219 cases), with Cronbach’s α-coefficient being 0.93 (values above 0.7 are considered adequate).15 All the items correlated with each other (r=0.36–0.91, P<0.001). Test–retest reliability was analyzed in 88 cases interviewed by telephone after the hospital stay. The intraclass correlation coefficient was 0.96 (95% confidence interval [CI] 0.94–0.97, P<0.001). Construct validity was demonstrated in the correlation matrix: all the items, as well as the overall satisfaction score, were correlated with the degree of satisfaction and with the blood glucose levels (r=0.40–0.86, P<0.001). All the items were correlated with the HbA1c figures (r=−0.24 to −0.35, P<0.001), except for satisfaction with their knowledge about diabetes (r=−0.07, P<0.05). In the analysis of longitudinal validity, a significant correlation was demonstrated in the increase in the overall satisfaction index and the increased satisfaction with the blood glucose levels between the initial survey and the one carried out to assess the change (r=0.77, P<0.001). In four cases (1.8%) and 0 cases, respectively, extreme overall satisfaction scores were achieved (floor/ceiling effect). Validation of the change version of the questionnaire The validation of the change survey was carried out in 127 cases. Cronbach’s α-coefficient was 0.92. Correlation was demonstrated between all the items (r=0.33–0.79, P<0.001). In the test–retest reliability analysis, the intraclass correlation coefficient was 0.96 (95% CI 0.95–0.97, P<0.001). The scores for all the questionnaire items and the overall satisfaction score were correlated with the satisfaction scores for the blood glucose levels (r=0.44–0.78, P<0.001). In eight cases (6.2%) and 0 cases, respectively, extreme scores were achieved (floor/ceiling effect). The validation of the change survey was carried out in 127 cases. Cronbach’s α-coefficient was 0.92. Correlation was demonstrated between all the items (r=0.33–0.79, P<0.001). In the test–retest reliability analysis, the intraclass correlation coefficient was 0.96 (95% CI 0.95–0.97, P<0.001). The scores for all the questionnaire items and the overall satisfaction score were correlated with the satisfaction scores for the blood glucose levels (r=0.44–0.78, P<0.001). In eight cases (6.2%) and 0 cases, respectively, extreme scores were achieved (floor/ceiling effect). Administration of the current-status version of the questionnaire The STCD2-a questionnaire was administered to 219 caregivers. The average HbA1c levels of the patients they looked after were 7.4% (95% CI 7.2–7.5). A total of 101 (46.1%) cases were on insulin treatment, of which 14 (6.4%) were receiving treatment with rapid-acting insulin or analog, eleven (5.0%) with intermediate-acting insulin or analog, 24 (11.0%) with preloaded mixtures of rapid-acting insulin or analog plus intermediate-acting insulin or analog, and 69 (31.5%) with long-acting analog. A total of 141 (64.4%) were receiving an oral antidiabetic agent, and 23 (10.5%) cases insulin plus an oral antidiabetic agent. The median number of daily administrations for the antidiabetic medication (insulin and/or oral antidiabetics) was two (one to six). The median caregivers’ satisfaction with the blood glucose levels was three (one to five), with a mean overall satisfaction of 24.8 points (95% CI 24.0–25.6). Caregivers were “very” or “somewhat” satisfied with what they knew about the treatment of diabetes in 32 (39.4%) cases. The caregivers with the highest scores for overall satisfaction were those who looked after the patients in a residential care setting (26.0, 95% CI 24.6–27.5), as opposed to those who did so at home (24.2, 95% CI 23.2–25.2; P<0.05). Among those caring at home, there was a correlation between the satisfaction score and the number of hours dedicated to caring for the patient (r=0.29, P<0.001). The caregivers who had no help at home (n=38) were more satisfied than those who received help (n=109) (26.4, 95% CI 22.3–24.5 versus 23.4, 95% CI 2.3–24.5; P<0.01), as did those who received payment for their work (n=8) than the informal caregivers (n=139) (28.3, 95% CI 25.6–30.9 versus 23.9, 95% CI 22.9–25.0; P<0.05). In terms of the treatment administered, correlation was observed between the degree of satisfaction and the number of daily administrations of the blood glucose-lowering medication (r=−0.21, P<0.05). Overall satisfaction in each of the groups of global treatment is shown in Figure 1. Caregivers of patients treated with insulin plus an oral antidiabetic agent (n=23) had lower average satisfaction levels than the rest of the caregivers (n=196) (20.0, 95% CI 17.0–23.0 versus 25.3, 95% CI 24.5–26.1; P<0.001). This was also the case with caregivers of patients treated with rapid-acting insulin or analog (n=14) (20.6, 95% CI 16.5–24.8 versus 25.1, 95% CI 24.2–25.9; P<0.01) or intermediate-acting insulin or analog (n=11) (21.1, 95% CI 17.2–25.0 versus 25.0, 95% CI 24.1–25.8; P<0.05). On the other hand, caregivers of patients treated only with a long-acting insulin analog (n=52) had higher average satisfaction levels than the rest of the caregivers (n=167) (26.4, 95% CI 25.0–27.8 versus 24.3, 95% CI 23.3–25.2; P<0.01). The STCD2-a questionnaire was administered to 219 caregivers. The average HbA1c levels of the patients they looked after were 7.4% (95% CI 7.2–7.5). A total of 101 (46.1%) cases were on insulin treatment, of which 14 (6.4%) were receiving treatment with rapid-acting insulin or analog, eleven (5.0%) with intermediate-acting insulin or analog, 24 (11.0%) with preloaded mixtures of rapid-acting insulin or analog plus intermediate-acting insulin or analog, and 69 (31.5%) with long-acting analog. A total of 141 (64.4%) were receiving an oral antidiabetic agent, and 23 (10.5%) cases insulin plus an oral antidiabetic agent. The median number of daily administrations for the antidiabetic medication (insulin and/or oral antidiabetics) was two (one to six). The median caregivers’ satisfaction with the blood glucose levels was three (one to five), with a mean overall satisfaction of 24.8 points (95% CI 24.0–25.6). Caregivers were “very” or “somewhat” satisfied with what they knew about the treatment of diabetes in 32 (39.4%) cases. The caregivers with the highest scores for overall satisfaction were those who looked after the patients in a residential care setting (26.0, 95% CI 24.6–27.5), as opposed to those who did so at home (24.2, 95% CI 23.2–25.2; P<0.05). Among those caring at home, there was a correlation between the satisfaction score and the number of hours dedicated to caring for the patient (r=0.29, P<0.001). The caregivers who had no help at home (n=38) were more satisfied than those who received help (n=109) (26.4, 95% CI 22.3–24.5 versus 23.4, 95% CI 2.3–24.5; P<0.01), as did those who received payment for their work (n=8) than the informal caregivers (n=139) (28.3, 95% CI 25.6–30.9 versus 23.9, 95% CI 22.9–25.0; P<0.05). In terms of the treatment administered, correlation was observed between the degree of satisfaction and the number of daily administrations of the blood glucose-lowering medication (r=−0.21, P<0.05). Overall satisfaction in each of the groups of global treatment is shown in Figure 1. Caregivers of patients treated with insulin plus an oral antidiabetic agent (n=23) had lower average satisfaction levels than the rest of the caregivers (n=196) (20.0, 95% CI 17.0–23.0 versus 25.3, 95% CI 24.5–26.1; P<0.001). This was also the case with caregivers of patients treated with rapid-acting insulin or analog (n=14) (20.6, 95% CI 16.5–24.8 versus 25.1, 95% CI 24.2–25.9; P<0.01) or intermediate-acting insulin or analog (n=11) (21.1, 95% CI 17.2–25.0 versus 25.0, 95% CI 24.1–25.8; P<0.05). On the other hand, caregivers of patients treated only with a long-acting insulin analog (n=52) had higher average satisfaction levels than the rest of the caregivers (n=167) (26.4, 95% CI 25.0–27.8 versus 24.3, 95% CI 23.3–25.2; P<0.01). Administration of the change version of the questionnaire The STCD2-c questionnaire was given to 127 caregivers of patients in whom the blood glucose-lowering treatment had been modified as described earlier. These caregivers had a lower average satisfaction score in the STCD2-c than the caregivers of patients in whom no treatment changes had been made (22.9, 95% CI 21.8–24.0 versus 27.3, 95% CI 26.3–28.3; P<0.001) and lower satisfaction scores for blood glucose levels (3.0, 95% CI 2.8–3.2 versus 3.7, 95% CI 3.5–3.9; P<0.001). There were no statistically significant differences between the two groups in HbA1c levels during the hospital stay. The changes made to treatment were as follows: change in dosage, 39 cases (30.7%); switch from oral antidiabetic drug to insulin therapy, 25 cases (19.7%); discontinuation of all blood glucose-lowering medication, 19 cases (15%); change of oral antidiabetic drug, 16 cases (12.6%); change of type of insulin, 14 cases (11.0%); discontinuation of oral antidiabetic drug in an insulin-plus-antidiabetic regimen, 12 cases (9.4%); addition of a new insulin to the previous insulin regimen, one case (0.8%); and discontinuation of insulin therapy in an insulin-plus-antidiabetic regimen, one case (0.8%). Of the 40 cases in which insulin was added to the treatment, this was a long-acting insulin analog in 31 cases. The median number of daily administrations for the anti-diabetic medication (insulin and/or oral antidiabetic) was one (zero to four). The degree of satisfaction with the change (the sum of scores for each of the items in the change questionnaire) was 27.3 (95% CI 26.4–28.2). Statistically significant differences in the questionnaire score were found based on the change in treatment between those with a change in the dosage and those with no dosage change (25.1, 95% CI 23.8–26.4 versus 28.3, 95% CI 27.1–29.5; P<0.01) and between those in whom all blood glucose-lowering medication was discontinued and all other changes (30.8, 95% CI 27.8–33.8 versus 26.6, 95% CI 25.7–27.5; P<0.01). Additionally, the cases in which a long-acting insulin analog was included in the new treatment had higher scores for the item referring to greater satisfaction with the patient’s blood glucose levels (4.6, 95% CI 4.3–4.9 versus 3.9, 95% CI 3.7–4.1; P<0.001) and for the item asking about greater satisfaction in terms of continuing with the treatment after the change (4.5, 95% CI 4.2–4.9 versus 4.0, 95% CI 3.8–4.2; P<0.01). Caregivers of patients receiving more frequent administration of their antidiabetic medication prior to the change were more satisfied with the change (r=0.24, P<0.001). Similarly, correlation was found between the number of daily administrations for blood glucose-lowering medication after the change and the degree of satisfaction (r=−0.43, P<0.001). The STCD2-c questionnaire was given to 127 caregivers of patients in whom the blood glucose-lowering treatment had been modified as described earlier. These caregivers had a lower average satisfaction score in the STCD2-c than the caregivers of patients in whom no treatment changes had been made (22.9, 95% CI 21.8–24.0 versus 27.3, 95% CI 26.3–28.3; P<0.001) and lower satisfaction scores for blood glucose levels (3.0, 95% CI 2.8–3.2 versus 3.7, 95% CI 3.5–3.9; P<0.001). There were no statistically significant differences between the two groups in HbA1c levels during the hospital stay. The changes made to treatment were as follows: change in dosage, 39 cases (30.7%); switch from oral antidiabetic drug to insulin therapy, 25 cases (19.7%); discontinuation of all blood glucose-lowering medication, 19 cases (15%); change of oral antidiabetic drug, 16 cases (12.6%); change of type of insulin, 14 cases (11.0%); discontinuation of oral antidiabetic drug in an insulin-plus-antidiabetic regimen, 12 cases (9.4%); addition of a new insulin to the previous insulin regimen, one case (0.8%); and discontinuation of insulin therapy in an insulin-plus-antidiabetic regimen, one case (0.8%). Of the 40 cases in which insulin was added to the treatment, this was a long-acting insulin analog in 31 cases. The median number of daily administrations for the anti-diabetic medication (insulin and/or oral antidiabetic) was one (zero to four). The degree of satisfaction with the change (the sum of scores for each of the items in the change questionnaire) was 27.3 (95% CI 26.4–28.2). Statistically significant differences in the questionnaire score were found based on the change in treatment between those with a change in the dosage and those with no dosage change (25.1, 95% CI 23.8–26.4 versus 28.3, 95% CI 27.1–29.5; P<0.01) and between those in whom all blood glucose-lowering medication was discontinued and all other changes (30.8, 95% CI 27.8–33.8 versus 26.6, 95% CI 25.7–27.5; P<0.01). Additionally, the cases in which a long-acting insulin analog was included in the new treatment had higher scores for the item referring to greater satisfaction with the patient’s blood glucose levels (4.6, 95% CI 4.3–4.9 versus 3.9, 95% CI 3.7–4.1; P<0.001) and for the item asking about greater satisfaction in terms of continuing with the treatment after the change (4.5, 95% CI 4.2–4.9 versus 4.0, 95% CI 3.8–4.2; P<0.01). Caregivers of patients receiving more frequent administration of their antidiabetic medication prior to the change were more satisfied with the change (r=0.24, P<0.001). Similarly, correlation was found between the number of daily administrations for blood glucose-lowering medication after the change and the degree of satisfaction (r=−0.43, P<0.001). Questionnaire: Two versions of the questionnaire were created (Tables 1 and 2): the first (STCD2-a) to assess satisfaction with current treatment (“over the last few weeks”), and the second (STCD2-c) to assess satisfaction after a change in treatment (“over the last few months”). Both consist of seven questions with a five-response scale, from “Very satisfied” to “Very dissatisfied” in the first six items and from “I would definitely recommend it” to “I wouldn’t recommend it at all” in the last item. The first item refers to overall treatment satisfaction, the next five assess satisfaction in specific areas, and the final item concerns whether or not they would recommend the patient’s current treatment. Description of the sample: A summary of the clinical and demographic data for the 219 patients included in the study and their caregivers is shown in Tables 3 and 4. Validation of the current-status version of the questionnaire: The internal consistency of the STCD2-a was assessed in the entire sample (219 cases), with Cronbach’s α-coefficient being 0.93 (values above 0.7 are considered adequate).15 All the items correlated with each other (r=0.36–0.91, P<0.001). Test–retest reliability was analyzed in 88 cases interviewed by telephone after the hospital stay. The intraclass correlation coefficient was 0.96 (95% confidence interval [CI] 0.94–0.97, P<0.001). Construct validity was demonstrated in the correlation matrix: all the items, as well as the overall satisfaction score, were correlated with the degree of satisfaction and with the blood glucose levels (r=0.40–0.86, P<0.001). All the items were correlated with the HbA1c figures (r=−0.24 to −0.35, P<0.001), except for satisfaction with their knowledge about diabetes (r=−0.07, P<0.05). In the analysis of longitudinal validity, a significant correlation was demonstrated in the increase in the overall satisfaction index and the increased satisfaction with the blood glucose levels between the initial survey and the one carried out to assess the change (r=0.77, P<0.001). In four cases (1.8%) and 0 cases, respectively, extreme overall satisfaction scores were achieved (floor/ceiling effect). Validation of the change version of the questionnaire: The validation of the change survey was carried out in 127 cases. Cronbach’s α-coefficient was 0.92. Correlation was demonstrated between all the items (r=0.33–0.79, P<0.001). In the test–retest reliability analysis, the intraclass correlation coefficient was 0.96 (95% CI 0.95–0.97, P<0.001). The scores for all the questionnaire items and the overall satisfaction score were correlated with the satisfaction scores for the blood glucose levels (r=0.44–0.78, P<0.001). In eight cases (6.2%) and 0 cases, respectively, extreme scores were achieved (floor/ceiling effect). Administration of the current-status version of the questionnaire: The STCD2-a questionnaire was administered to 219 caregivers. The average HbA1c levels of the patients they looked after were 7.4% (95% CI 7.2–7.5). A total of 101 (46.1%) cases were on insulin treatment, of which 14 (6.4%) were receiving treatment with rapid-acting insulin or analog, eleven (5.0%) with intermediate-acting insulin or analog, 24 (11.0%) with preloaded mixtures of rapid-acting insulin or analog plus intermediate-acting insulin or analog, and 69 (31.5%) with long-acting analog. A total of 141 (64.4%) were receiving an oral antidiabetic agent, and 23 (10.5%) cases insulin plus an oral antidiabetic agent. The median number of daily administrations for the antidiabetic medication (insulin and/or oral antidiabetics) was two (one to six). The median caregivers’ satisfaction with the blood glucose levels was three (one to five), with a mean overall satisfaction of 24.8 points (95% CI 24.0–25.6). Caregivers were “very” or “somewhat” satisfied with what they knew about the treatment of diabetes in 32 (39.4%) cases. The caregivers with the highest scores for overall satisfaction were those who looked after the patients in a residential care setting (26.0, 95% CI 24.6–27.5), as opposed to those who did so at home (24.2, 95% CI 23.2–25.2; P<0.05). Among those caring at home, there was a correlation between the satisfaction score and the number of hours dedicated to caring for the patient (r=0.29, P<0.001). The caregivers who had no help at home (n=38) were more satisfied than those who received help (n=109) (26.4, 95% CI 22.3–24.5 versus 23.4, 95% CI 2.3–24.5; P<0.01), as did those who received payment for their work (n=8) than the informal caregivers (n=139) (28.3, 95% CI 25.6–30.9 versus 23.9, 95% CI 22.9–25.0; P<0.05). In terms of the treatment administered, correlation was observed between the degree of satisfaction and the number of daily administrations of the blood glucose-lowering medication (r=−0.21, P<0.05). Overall satisfaction in each of the groups of global treatment is shown in Figure 1. Caregivers of patients treated with insulin plus an oral antidiabetic agent (n=23) had lower average satisfaction levels than the rest of the caregivers (n=196) (20.0, 95% CI 17.0–23.0 versus 25.3, 95% CI 24.5–26.1; P<0.001). This was also the case with caregivers of patients treated with rapid-acting insulin or analog (n=14) (20.6, 95% CI 16.5–24.8 versus 25.1, 95% CI 24.2–25.9; P<0.01) or intermediate-acting insulin or analog (n=11) (21.1, 95% CI 17.2–25.0 versus 25.0, 95% CI 24.1–25.8; P<0.05). On the other hand, caregivers of patients treated only with a long-acting insulin analog (n=52) had higher average satisfaction levels than the rest of the caregivers (n=167) (26.4, 95% CI 25.0–27.8 versus 24.3, 95% CI 23.3–25.2; P<0.01). Administration of the change version of the questionnaire: The STCD2-c questionnaire was given to 127 caregivers of patients in whom the blood glucose-lowering treatment had been modified as described earlier. These caregivers had a lower average satisfaction score in the STCD2-c than the caregivers of patients in whom no treatment changes had been made (22.9, 95% CI 21.8–24.0 versus 27.3, 95% CI 26.3–28.3; P<0.001) and lower satisfaction scores for blood glucose levels (3.0, 95% CI 2.8–3.2 versus 3.7, 95% CI 3.5–3.9; P<0.001). There were no statistically significant differences between the two groups in HbA1c levels during the hospital stay. The changes made to treatment were as follows: change in dosage, 39 cases (30.7%); switch from oral antidiabetic drug to insulin therapy, 25 cases (19.7%); discontinuation of all blood glucose-lowering medication, 19 cases (15%); change of oral antidiabetic drug, 16 cases (12.6%); change of type of insulin, 14 cases (11.0%); discontinuation of oral antidiabetic drug in an insulin-plus-antidiabetic regimen, 12 cases (9.4%); addition of a new insulin to the previous insulin regimen, one case (0.8%); and discontinuation of insulin therapy in an insulin-plus-antidiabetic regimen, one case (0.8%). Of the 40 cases in which insulin was added to the treatment, this was a long-acting insulin analog in 31 cases. The median number of daily administrations for the anti-diabetic medication (insulin and/or oral antidiabetic) was one (zero to four). The degree of satisfaction with the change (the sum of scores for each of the items in the change questionnaire) was 27.3 (95% CI 26.4–28.2). Statistically significant differences in the questionnaire score were found based on the change in treatment between those with a change in the dosage and those with no dosage change (25.1, 95% CI 23.8–26.4 versus 28.3, 95% CI 27.1–29.5; P<0.01) and between those in whom all blood glucose-lowering medication was discontinued and all other changes (30.8, 95% CI 27.8–33.8 versus 26.6, 95% CI 25.7–27.5; P<0.01). Additionally, the cases in which a long-acting insulin analog was included in the new treatment had higher scores for the item referring to greater satisfaction with the patient’s blood glucose levels (4.6, 95% CI 4.3–4.9 versus 3.9, 95% CI 3.7–4.1; P<0.001) and for the item asking about greater satisfaction in terms of continuing with the treatment after the change (4.5, 95% CI 4.2–4.9 versus 4.0, 95% CI 3.8–4.2; P<0.01). Caregivers of patients receiving more frequent administration of their antidiabetic medication prior to the change were more satisfied with the change (r=0.24, P<0.001). Similarly, correlation was found between the number of daily administrations for blood glucose-lowering medication after the change and the degree of satisfaction (r=−0.43, P<0.001). Discussion: This paper describes how the first questionnaires on satisfaction with blood glucose-lowering treatment for caregivers of dependent type 2 diabetic patients were designed, validated, and then implemented. The research team considers that the degree of satisfaction felt by caregivers for the different aspects of the blood glucose-lowering treatment they administer to patients should be considered when planning the treatment.16 Implicit in the satisfaction is the degree of caregiver involvement, adherence to treatment, and lastly better care of these patients.17 Satisfaction with health care services is a complex concept that is related to a great variety of factors, such as way of life, previous experiences, expectations of the future, and values of the individual and of society.18 It is not surprising, therefore, that in our individual talks with the investigated caregivers, we were listening to different criteria to justify their degree of satisfaction with the treatment that they were administering to the patients. Some of these criteria (acceptance of the treatment by the patient, easiness of administration, number of doses) were specifically investigated in the tests. Other questions, such as the perception of the evolution of the disease, may have also had a variable weight (which is not quantified in this study) in the degree of expressed satisfaction of the surveyed caregivers. The average age of the patients included in the study was over 84 years. Most patients came from their homes, not residential care, and there was a predominance of informal, unpaid caregivers (in our case, they were family caregivers, since there were no voluntary workers). These characteristics are similar to those in published studies on dependent patients,19 although this is often a result of the selection criteria applied. Some studies based on surveys of caregivers on different aspects exclude institutionalized patients, in order to avoid a positive bias (better training of the caregivers, various caregivers involved, easier access to information through residential care staff, etc).20 Other studies prefer informal caregivers when analyzing satisfaction aspects, because they have been shown to have a greater degree of involvement in the care of the patient and a greater degree of responsibility.9 Caregivers who work in residences for the elderly have a greater degree of overall satisfaction than caregivers in the home setting, possibly because the residences have more suitable material and human resources at their disposal in terms of providing health care. The paid caregivers also had higher overall satisfaction scores than the informal caregivers. This has been observed in other studies on caregiver satisfaction and stress, with stress levels always lower in the paid workers.5 However, although informal caregivers generally had lower satisfaction scores, it was found that the more time they spent caring for the patient (often because there was no other caregiver to share the work), the higher their degree of satisfaction. This highlights a greater degree of involvement and dedication among informal caregivers.16 This major implication and satisfaction with the administration of treatment can be explained in the context of the traditional concept of the Spanish family, probably still firmly rooted in a significant number of caregivers in the study, in which the self-sacrificing care of the older ones on the part of their direct relatives is considered to be a social value and a privilege. In terms of overall satisfaction, the most satisfied caregivers were those who had to administer medication less frequently. This greater degree of satisfaction also correlated with lower HbA1c levels. Consequently, in our study, caregiver satisfaction was associated with better metabolic control in the dependent diabetic patients, which has also been observed indirectly in other studies on satisfaction with diabetes treatment.3 The study was designed so that patients would be treated according to the routine clinical criteria of their internal medicine specialist. The treatment changes applied were not subject to any other norms. Taking the patient type into account (elderly, dependent, multiple medications, and multiple disorders), the objective of the treatment was not only to control HbA1c levels, but as in other studies conducted with elderly patients, it was also considered equally important to simplify the treatment, make administration easier, and above all prevent hypoglycemia.21 The mean scores for overall satisfaction and satisfaction with blood glucose levels in the STCD2-c were lower for the caregivers of patients whose treatment was changed than for the caregivers of patients in whom no treatment change was made. It would therefore seem that the caregivers and the physicians had similar criteria in terms of assessing the need for a change in treatment. Comparison of the questionnaires showed that where changes were made, the degree of satisfaction increased, with the most appreciated change being discontinuation of all blood glucose-lowering medication. Significant differences were also observed in the increase in overall satisfaction as the number of medication administration times reduced after the change. This once more highlights the fact that simplifying the treatment is one of the most influential factors on satisfaction.22 Caregivers of patients receiving only a long-acting insulin analog showed an overall satisfaction index score higher than those of the patients of the remaining therapeutic groups. Also, when introduced in the treatment change, once-a-day administration of long-acting insulin or analog made the caregivers more likely to feel satisfied with the blood glucose levels and to recommend the treatment to others. Similarly to other studies on satisfaction and diabetes, despite the fact that many of these patients changed from taking tablets to needing medication by injection, the good blood glucose control and the ease of administration were highly appreciated by the caregivers.23 Several studies have addressed satisfaction with treatment in the case of the caregivers, eg, on parents of type 1 diabetic children in which special attention is paid in evaluating the perception that the parents have about the incidence and managing of hyper- and hypoglycemias.24 Nevertheless, to the best of our knowledge, there are no previous studies measuring satisfaction with treatment in caregivers of dependent type 2 diabetes patients in whom mainly the results of the application of quality-of-life questionnaires have been published.25 For this reason, we cannot compare our results with similar investigations in the field of diabetes. In our opinion, knowing how satisfied caregivers of type 2 diabetic patients are with the treatment is an essential factor when planning the treatment. Having administered our innovative questionnaire to a group of Spanish patients, results suggest that the simplicity of the antidiabetic treatment must be taken into account when planning treatment for dependent type 2 diabetic patients when caregiver satisfaction is an additional objective. The validation and application of questionnaires of similar structure might be also useful in other therapeutic areas (eg, arterial hypertension, hyperlipidemias).
Background: Satisfaction with treatment is considered a relevant factor for assessing results in clinical practice. However, when assessing satisfaction in dependent patients, the opinion of their caregivers becomes crucial, since implicit in satisfaction is the degree of caregiver involvement, of adherence to treatment, and lastly of better care of these patients. Methods: This was an observational, descriptive, epidemiological study conducted in the Los Montalvos Internal Medicine Department at the University Hospital of Salamanca (Spain). Two versions of the questionnaire to assess caregivers' satisfaction with current treatment and after introducing changes in therapy were created and validated according to model procedures. Once validated, the questionnaires were implemented in 219 cases. Results: Cronbach's α-coefficient, correlation between all the items, intraclass correlation coefficient, and correlation between the obtained scores and satisfaction with blood glucose levels all satisfied the standard for validation. Significant levels of correlation were observed between the degree of satisfaction and the number of daily administrations of the blood glucose-lowering medication (Spearman's r=-0.21, P<0.05). Caregivers of patients receiving more frequent administration of their antidiabetic medication prior to the change were more satisfied with the change (r=0.24, P<0.001). Similarly, significant correlation was found between the number of daily administrations for blood glucose-lowering medication after the change and the degree of satisfaction (r=-0.43, P<0.001). Conclusions: A useful novel instrument to assess caregivers' satisfaction was validated. When applied to our cohort of cases, the obtained data suggest that simplicity in antidiabetic therapy should be considered in the management of dependent type 2 diabetic patients when caregivers' satisfaction is an additional objective.
null
null
11,801
314
[ 3024, 174, 721, 139, 463, 112, 114, 29, 148, 27, 230, 111, 598, 564 ]
18
[ "satisfaction", "caregivers", "treatment", "95", "ci", "95 ci", "questionnaire", "cases", "patients", "change" ]
[ "caregivers type diabetic", "satisfaction knowledge diabetes", "diabetic patients caregiver", "diabetes specific quality", "studies satisfaction diabetes" ]
null
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[CONTENT] satisfaction questionnaire | caregivers | type 2 diabetes | dependent patients [SUMMARY]
[CONTENT] satisfaction questionnaire | caregivers | type 2 diabetes | dependent patients [SUMMARY]
[CONTENT] satisfaction questionnaire | caregivers | type 2 diabetes | dependent patients [SUMMARY]
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[CONTENT] satisfaction questionnaire | caregivers | type 2 diabetes | dependent patients [SUMMARY]
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[CONTENT] Aged | Aged, 80 and over | Caregivers | Diabetes Mellitus, Type 2 | Female | Humans | Hypoglycemic Agents | Male | Middle Aged | Personal Satisfaction | Psychometrics | Quality of Life | Reproducibility of Results | Spain | Surveys and Questionnaires [SUMMARY]
[CONTENT] Aged | Aged, 80 and over | Caregivers | Diabetes Mellitus, Type 2 | Female | Humans | Hypoglycemic Agents | Male | Middle Aged | Personal Satisfaction | Psychometrics | Quality of Life | Reproducibility of Results | Spain | Surveys and Questionnaires [SUMMARY]
[CONTENT] Aged | Aged, 80 and over | Caregivers | Diabetes Mellitus, Type 2 | Female | Humans | Hypoglycemic Agents | Male | Middle Aged | Personal Satisfaction | Psychometrics | Quality of Life | Reproducibility of Results | Spain | Surveys and Questionnaires [SUMMARY]
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[CONTENT] Aged | Aged, 80 and over | Caregivers | Diabetes Mellitus, Type 2 | Female | Humans | Hypoglycemic Agents | Male | Middle Aged | Personal Satisfaction | Psychometrics | Quality of Life | Reproducibility of Results | Spain | Surveys and Questionnaires [SUMMARY]
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[CONTENT] caregivers type diabetic | satisfaction knowledge diabetes | diabetic patients caregiver | diabetes specific quality | studies satisfaction diabetes [SUMMARY]
[CONTENT] caregivers type diabetic | satisfaction knowledge diabetes | diabetic patients caregiver | diabetes specific quality | studies satisfaction diabetes [SUMMARY]
[CONTENT] caregivers type diabetic | satisfaction knowledge diabetes | diabetic patients caregiver | diabetes specific quality | studies satisfaction diabetes [SUMMARY]
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[CONTENT] caregivers type diabetic | satisfaction knowledge diabetes | diabetic patients caregiver | diabetes specific quality | studies satisfaction diabetes [SUMMARY]
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[CONTENT] satisfaction | caregivers | treatment | 95 | ci | 95 ci | questionnaire | cases | patients | change [SUMMARY]
[CONTENT] satisfaction | caregivers | treatment | 95 | ci | 95 ci | questionnaire | cases | patients | change [SUMMARY]
[CONTENT] satisfaction | caregivers | treatment | 95 | ci | 95 ci | questionnaire | cases | patients | change [SUMMARY]
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[CONTENT] satisfaction | caregivers | treatment | 95 | ci | 95 ci | questionnaire | cases | patients | change [SUMMARY]
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[CONTENT] life | quality | quality life | satisfaction treatment | satisfaction | specific | diabetes | treatment | assess | disease [SUMMARY]
[CONTENT] dissatisfied | points | correlation | satisfaction | minimum | spearman correlation | satisfied | levels | scores | overall [SUMMARY]
[CONTENT] 95 ci | 95 | ci | insulin | 25 | satisfaction | 001 | 24 | versus | cases [SUMMARY]
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[CONTENT] satisfaction | 95 | caregivers | 95 ci | ci | treatment | cases | questionnaire | patients | insulin [SUMMARY]
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[CONTENT] ||| [SUMMARY]
[CONTENT] the Los Montalvos Internal Medicine Department | the University Hospital of Salamanca | Spain ||| Two ||| 219 [SUMMARY]
[CONTENT] ||| daily | Spearman | r=-0.21 ||| ||| daily [SUMMARY]
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[CONTENT] ||| ||| the Los Montalvos Internal Medicine Department | the University Hospital of Salamanca | Spain ||| Two ||| 219 ||| ||| ||| daily | Spearman | r=-0.21 ||| ||| daily ||| ||| 2 [SUMMARY]
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Prevalence of Colistin-resistant Gram-negative Isolates Carrying the mcr-1 Gene among Patients Visiting a Tertiary Care Center.
34506394
Gram-negative isolates harboring mobilized colistin resistance (mcr-1) gene are a great threat to human health. They have been reported worldwide among various bacterial isolates. This work aimed to study the prevalence of colistin resistance among Gram-negative bacteria and the incidence of mcr-1 gene among these isolates.
INTRODUCTION
A descriptive cross-sectional study was done at a tertiary care center from June 2016 to February 2017. An ethical approval was taken from review board of the Nepal Health Research Council (Reg. no: 274/2016). Convenience sampling was used. The data was collected and analyzed using Microsoft Excel 2010 and Statistical Package for Social Sciences (SPSS) Version 16 . Point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data.
METHODS
Among 485 gram-negative isolates, only 13 (2.68%) (1.26-6.62 at 95% Confidence Interval) isolates were colistin-resistant and mcr-1 was present in two isolates. Predominant colistin-resistant isolates were E. coli 6 (4.1%), Enterobacter spp 2 (2.81%), and Acinetobacter spp 2 (2.81%). A high level of colistin-resistance was noted in 4 (30.7%) isolates as indicated by the very high value of colistin MIC (>256 μg/ml). ICU was the major site of isolation of colistin-resistant and mcr-1 positive pathogens. The majority of colistin-resistant isolates were highly drug-resistant and were sensitive only to polymyxin B. Antibiotics like imipenem, amikacin, gentamicin, aztreonam, ciprofloxacin, and piperacillin-tazobactam were effective for few of these isolates.
RESULTS
Though the prevalence of mcr-1 gene was low among colistin-resistant gram-negative isolates, the resistant pattern was quite alarming as these isolates were highly drug-resistant.
CONCLUSIONS
[ "Anti-Bacterial Agents", "Colistin", "Cross-Sectional Studies", "Drug Resistance, Bacterial", "Escherichia coli", "Escherichia coli Proteins", "Humans", "Microbial Sensitivity Tests", "Prevalence", "Tertiary Care Centers" ]
8028535
INTRODUCTION
Colistin, although not used in routine treatment procedure due to its toxicity, is a very effective treatment option against the majority of multi-drug-resistant gram-negative pathogens.1 Colistin is active against isolates producing New Delhi Metallo-(β-lactamase and Klebsiella pneumoniae carbapenemase.2 The emergence of resistance to colistin among gram-negative pathogens is creating infections with very limited treatment options.3 A recently discovered enzyme, phosphoethanolamine transferase, encoded by the mcr-1 gene is responsible for plasmid-mediated colistin resistance.4 This novel mechanism of resistance is a matter of concern as it may cause pan-drug resistance among the member of Enterobacteriaceae.5 At least six members of Enterobacteriaceae have been reported as the recipient of the highly diverse mcr-1 bearing plasmids having complex dissemination mechanisms.6 This study was done to know the prevalence of colistin- resistant as well as mcr-1 producing Gram-negative isolates as colistin resistance is increasing among Gram-negative isolates globally.
METHODS
This descriptive cross-sectional study was done at Annapurna Neurological Hospital and Allied Sciences, Maitighar, Kathmandu, Nepal, and the study duration was June 2016 to February 2017. The research protocol was approved by an ethical review board of the Nepal Health Research Council (Reg. no: 274/2016). All patients attending the hospital with suspected bacterial infections were included in this study as a study population. Samples that were collected from patients currently under antibiotics therapy, samples with a clear sign of contamination, and those collected in improper containers were excluded from the study. The convenience sampling method was used and all the samples obtained during the study period were analyzed. The sample size (n) was calculated as, Where, n = required sample sizeZ = 1.96 at 95% Confidence Interval (CI)p = prevalence of colistin resistance, 3.16%7e = margin of error, 2% n = required sample size Z = 1.96 at 95% Confidence Interval (CI) p = prevalence of colistin resistance, 3.16%7 e = margin of error, 2% Hence, the calculated sample size was 294 but we analyzed 485 isolates in our study. So, 485 Gram-negative bacteria from various clinical specimens were included in the study excluding intrinsic colistin-resistant Gram-negative bacteria as reported earlier.3 The identification of isolates was done by routine biochemical tests and colony characteristics. Isolates resistant to colistin using discs diffusion (10μg, Himedia-Laboratories, India), as per CLSI guidelines8 were further examined by colistin MIC detection using E-stripes to confirm phenotypic colistin-resistance. E. coli ATCC 25922 was used as a negative control. Isolates resistant to colistin were selected for further study and preserved using glycerol stock until plasmid extraction. For the detection of a 309 bp internal fragment of mcr-1 gene, 5μl of the plasmid DNA was subjected to PCR using specific primers; mcr-1 Forward (5'-CGGTCAGTCCGTTTGTTC-3') and mcr-1 Reverse (5'-CTTGGTCGGTCTGTAGGG-3') as reported already.4,9 The positive control used was mcr-1 positive plasmid of E.coli while the plasmid of E. coli ATCC 25922 was used as a negative control. The thermal cycling process reported by Cavaco et al9 using mcr-1 specific primers was followed for PCR. Amplified products were visualized after electrophoresis on the agarose gel. DNA ladder (100 bp) was used as a molecular weight marker where an amplified product having size 309 bp was regarded as mcr-1 positive (Figure 1). Lane1-100bp DNA ladder, Lane 2-blank, Lane 3-mcr-1 positive control (309bp), Lane 4-5 mcr-1 positive, Lane 6-8 mcr-1 negative Data entry and analysis were done in the Microsoft Excel 2010 and Statistical Package for the Social Sciences version 16. Descriptive statistics were expressed as frequency and proportion for binary data.
RESULTS
A total of 485 gram-negative isolates were included in the study. Among these isolates, only 13 (2.68%) (1.26-6.62 at 95% CI) were resistant to colistin by phenotypic methods. Colistin resistance was higher in E.coli 6 (4.10%) isolates followed by Enterobacter spp 2 (2.81%) and Acinetobacter spp 2 (2.81%). The majority i.e 8 (61.5%) of colistin-resistant isolates were from the Intensive care Unit (ICU) followed by an emergency ward, surgery ward, and outpatient department (OPD) (Table 1). IPM=Imipenem, PB=PolymyxinB, AT=Azteronam, PIT=Piperacillin-Tazobactam, AK=Amikacin, GEN=Gentamicin, CIP=Ciprofloxacin, CAZ=Ceftazidime, CTR=Ceftriaxone The range of colistin MIC for these isolates was 4 to >256 μg/ml (Table 1). Colistin-resistant isolates were highly drug-resistant, as all of these pathogens were resistant to ceftazidime and ceftriaxone and resistance was high for antibiotics like imipenem, ciprofloxacin, gentamicin, amikacin, aztreonam, and piperacillin- tazobactam. The highest rate of sensitivity was noted only to polymyxin B as 7 isolates (54%) were sensitive to it indicating this antibiotic as a treatment option for the majority of these pathogens. Out of the 13 colistin-resistant isolates, only two (15.38%) isolates were positive for mcr-1 gene with the mcr-1 gene found in 0.41% of total Gram-negative isolates. One (0.68%) isolate of E.coli of all E.coli isolates and one (1.04%) Klebsiella pneumoniae of all Klebsiella isolates were positive for the gene. Although colistin-resistant isolates were from different clinical samples, the mcr-1 gene was detected only from urine and blood isolate. mcr-1 positive isolates were obtained from both male and female patient one each having age group 15-45 years and 45 years above respectively. mcr-1 positive isolates were extremely drug-resistant as they were resistant to almost all routine antibiotics. mcr-1 positive Klebsiella pneumoniae isolate was resistant even to polymyxin B while the other was sensitive to it.
CONCLUSIONS
This study has detected the plasmid-mediated colistin-resistant gene mcr-1 in Nepal for the first time among clinical gram-negative isolates. Less than 3 percent of gram-negative isolates were found to be colistin- resistant. The incidence of mcr-1 gene was low among these isolates. E.coli and Klebsiella were found to harbor mcr-1 gene. Colistin-resistant isolates were more prevalent in ICU increasing the treatment difficulty of vulnerable patients. colistin-resistant isolates were highly drug-resistant and were not susceptible to almost all routine antibiotics.
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[ "INTRODUCTION", "METHODS", "RESULTS", "DISCUSSION", "CONCLUSIONS" ]
[ "Colistin, although not used in routine treatment procedure due to its toxicity, is a very effective treatment option against the majority of multi-drug-resistant gram-negative pathogens.1 Colistin is active against isolates producing New Delhi Metallo-(β-lactamase and Klebsiella pneumoniae carbapenemase.2 The emergence of resistance to colistin among gram-negative pathogens is creating infections with very limited treatment options.3\nA recently discovered enzyme, phosphoethanolamine transferase, encoded by the mcr-1 gene is responsible for plasmid-mediated colistin resistance.4 This novel mechanism of resistance is a matter of concern as it may cause pan-drug resistance among the member of Enterobacteriaceae.5 At least six members of Enterobacteriaceae have been reported as the recipient of the highly diverse mcr-1 bearing plasmids having complex dissemination mechanisms.6\nThis study was done to know the prevalence of colistin- resistant as well as mcr-1 producing Gram-negative isolates as colistin resistance is increasing among Gram-negative isolates globally.", "This descriptive cross-sectional study was done at Annapurna Neurological Hospital and Allied Sciences, Maitighar, Kathmandu, Nepal, and the study duration was June 2016 to February 2017. The research protocol was approved by an ethical review board of the Nepal Health Research Council (Reg. no: 274/2016). All patients attending the hospital with suspected bacterial infections were included in this study as a study population. Samples that were collected from patients currently under antibiotics therapy, samples with a clear sign of contamination, and those collected in improper containers were excluded from the study. The convenience sampling method was used and all the samples obtained during the study period were analyzed. The sample size (n) was calculated as,\nWhere,\nn = required sample sizeZ = 1.96 at 95% Confidence Interval (CI)p = prevalence of colistin resistance, 3.16%7e = margin of error, 2%\nn = required sample size\nZ = 1.96 at 95% Confidence Interval (CI)\np = prevalence of colistin resistance, 3.16%7\ne = margin of error, 2%\nHence, the calculated sample size was 294 but we analyzed 485 isolates in our study.\nSo, 485 Gram-negative bacteria from various clinical specimens were included in the study excluding intrinsic colistin-resistant Gram-negative bacteria as reported earlier.3 The identification of isolates was done by routine biochemical tests and colony characteristics. Isolates resistant to colistin using discs diffusion (10μg, Himedia-Laboratories, India), as per CLSI guidelines8 were further examined by colistin MIC detection using E-stripes to confirm phenotypic colistin-resistance. E. coli ATCC 25922 was used as a negative control. Isolates resistant to colistin were selected for further study and preserved using glycerol stock until plasmid extraction.\nFor the detection of a 309 bp internal fragment of mcr-1 gene, 5μl of the plasmid DNA was subjected to PCR using specific primers; mcr-1 Forward (5'-CGGTCAGTCCGTTTGTTC-3') and mcr-1 Reverse (5'-CTTGGTCGGTCTGTAGGG-3') as reported already.4,9 The positive control used was mcr-1 positive plasmid of E.coli while the plasmid of E. coli ATCC 25922 was used as a negative control. The thermal cycling process reported by Cavaco et al9 using mcr-1 specific primers was followed for PCR. Amplified products were visualized after electrophoresis on the agarose gel. DNA ladder (100 bp) was used as a molecular weight marker where an amplified product having size 309 bp was regarded as mcr-1 positive (Figure 1).\nLane1-100bp DNA ladder, Lane 2-blank, Lane 3-mcr-1 positive control (309bp), Lane 4-5 mcr-1 positive, Lane 6-8 mcr-1 negative\nData entry and analysis were done in the Microsoft Excel 2010 and Statistical Package for the Social Sciences version 16. Descriptive statistics were expressed as frequency and proportion for binary data.", "A total of 485 gram-negative isolates were included in the study. Among these isolates, only 13 (2.68%) (1.26-6.62 at 95% CI) were resistant to colistin by phenotypic methods. Colistin resistance was higher in E.coli 6 (4.10%) isolates followed by Enterobacter spp 2 (2.81%) and Acinetobacter spp 2 (2.81%). The majority i.e 8 (61.5%) of colistin-resistant isolates were from the Intensive care Unit (ICU) followed by an emergency ward, surgery ward, and outpatient department (OPD) (Table 1).\nIPM=Imipenem,\nPB=PolymyxinB,\nAT=Azteronam,\nPIT=Piperacillin-Tazobactam,\nAK=Amikacin,\nGEN=Gentamicin,\nCIP=Ciprofloxacin,\nCAZ=Ceftazidime,\nCTR=Ceftriaxone\nThe range of colistin MIC for these isolates was 4 to >256 μg/ml (Table 1). Colistin-resistant isolates were highly drug-resistant, as all of these pathogens were resistant to ceftazidime and ceftriaxone and resistance was high for antibiotics like imipenem, ciprofloxacin, gentamicin, amikacin, aztreonam, and piperacillin- tazobactam. The highest rate of sensitivity was noted only to polymyxin B as 7 isolates (54%) were sensitive to it indicating this antibiotic as a treatment option for the majority of these pathogens.\nOut of the 13 colistin-resistant isolates, only two (15.38%) isolates were positive for mcr-1 gene with the mcr-1 gene found in 0.41% of total Gram-negative isolates. One (0.68%) isolate of E.coli of all E.coli isolates and one (1.04%) Klebsiella pneumoniae of all Klebsiella isolates were positive for the gene. Although colistin-resistant isolates were from different clinical samples, the mcr-1 gene was detected only from urine and blood isolate. mcr-1 positive isolates were obtained from both male and female patient one each having age group 15-45 years and 45 years above respectively. mcr-1 positive isolates were extremely drug-resistant as they were resistant to almost all routine antibiotics. mcr-1 positive Klebsiella pneumoniae isolate was resistant even to polymyxin B while the other was sensitive to it.", "The prevalence of colistin-resistant Gram-negative isolates found in this study was comparable to the study by Wong et al.10 Similarly, another study has reported that less than 10% isolates were resistant to colistin globally whereas the pattern was quite higher in India and the Philippines with 13.8% and 50% prevalence respectively.11 This variation may be the result of geographic variation, the difference of study period, the methodology used, and variation in colistin use, etc.\nThe distribution of colistin resistance among gram-negative isolates within hospital wards presents a horrible picture as 8 out of 13 colistin-resistant isolates were from intensive care unit patients. Various factors may be contributing to the emergence of these isolates in inpatients are prolonged stay in ICU, the process of surgery, use of colistin as well as third-generation cephalosporins and monobactams as indicated by Matthaiou's study12 and either inadequate or excess use of colistin.13 The high incidence of these isolates in the ICU and other wards poses a great challenge for their treatment. Not only this, these wards may act as a silent active source of dissemination of these highly notorious pathogens to other patients.\nIn this study, we reported variable colistin MIC values of the colistin-resistant isolate. These findings were in accordance with the finding of Liassine et al where they have reported the colistin MIC range of 4 to >128 mg/l.5 Similarly, various other studies have reported highly variable colistin MIC values of such isolates.10,11,13 This increasing resistance against colistin may be due to increased use of colistin for the treatment of MDR gram-negative isolates by clinicians.11\nIsolates that were resistant to a last-line drug, colistin, were also resistant to many of the routine antibiotics. Such a high drug resistance among such pathogens has been reported by various authors.3,4,13 However, they were not resistant to all available antibiotics as found in this study because Polymyxin B was effective against the majority of these isolates and other antibiotics like imipenem, amikacin, gentamicin, aztreonam, and ciprofloxacin were effective against some of the isolates. As reported by other researches, treatment options for colistin-resistant isolates may be combination therapy.3 These results indicate that some of these isolates are still treatable by various classes of antibiotics as indicated by Walkty et al.2\nThe incidence of mcr-1 gene among colistin-resistant isolate was 15.3%, which was very analogous to the findings of Walkty et al.2 In this study, less than 0.5% gram-negative isolates (excluding intrinsic colistin resistant spp) were positive for mcr-1 gene. The study of Fernandes et al also reported similar results.14 In addition to these, a very matching prevalence of mcr-1 gene among enterobacterial isolates was reported by Wong et al.10 This low prevalence of the plasmid-mediated mcr-1 gene indicates that there is another significant mechanism for colistin resistance among gram-negative isolates in this region and may be due to chromosomal or by other mcr variants reported by Zhang et al.15 There is an urgent need to detect such mechanisms for the proper control and management of these superbugs.\nOut of different colistin-resistant pathogens, only E.coli and Klebsiella pneumoniae harbored the gene with a prevalence of around 1%. Similarly, Quan et al reported that 1.1% E.coli isolates (20 out of 1495) and <1% Klebsiella spp (1 out of 571) were mcr-1 positive.16 The presence of mcr-1 gene mostly in E.coli and/or Klebsiella spp is supported by other studies as well.10,17,18 Colistin-resistant isolates from urine and blood were positive for the gene. These findings are comparable with the findings of Wong et al.10 Similarly, the prevalence of colistin resistance was higher in urine, sputum and blood isolate in our study as like the findings of Arjun et al. where the blood, urine, and respiratory isolates were predominant colistin-resistant isolates.3\nThe emergence of gram-negative isolates resistant to last-line drugs like colistin and polymyxin B is a matter of concern as some of the isolates in this study were extremely drug-resistant having very limited treatment options. Likewise, colistin resistance has been reported from Canada,2 India,3 South Africa4, Greece,13 and Australia19 as well. These isolates are limited not only in E.coli and Klebsiella spp, but they also have been detected in Acinetobacter, Pseudomonas, Enterobacter, Citrobacter, Salmonella, Pantoea20 and various other gram-negative isolates. This global dissemination of these pathogens among the majority of significant human pathogens may mimic the rapid spread as that of New Delhi Metallo-β-lactamase and poses a possibility of reverting the situation to the preantibiotic era in near future.\nThis study has some limitations as this study was focused only on colistin-resistant isolates to detect mcr-1 gene but there is a case of detection of this gene in colistin susceptible isolates.1 Moreover, only clinical isolates were taken into consideration while there are several reports of mcr-1detection from food, food animals, and environmental isolates.21 Screening of clinical, food, and various environmental samples to detect these pathogens as well as detail molecular analysis is necessary to get the real picture of this problem in this region.", "This study has detected the plasmid-mediated colistin-resistant gene mcr-1 in Nepal for the first time among clinical gram-negative isolates. Less than 3 percent of gram-negative isolates were found to be colistin- resistant. The incidence of mcr-1 gene was low among these isolates. E.coli and Klebsiella were found to harbor mcr-1 gene. Colistin-resistant isolates were more prevalent in ICU increasing the treatment difficulty of vulnerable patients. colistin-resistant isolates were highly drug-resistant and were not susceptible to almost all routine antibiotics." ]
[ "intro", "methods", "results", "discussion", "conclusions" ]
[ "\ncolistin-resistant\n", "\ngram-negative isolates\n", "\nmcr-1 gene\n", "\nNepal\n" ]
INTRODUCTION: Colistin, although not used in routine treatment procedure due to its toxicity, is a very effective treatment option against the majority of multi-drug-resistant gram-negative pathogens.1 Colistin is active against isolates producing New Delhi Metallo-(β-lactamase and Klebsiella pneumoniae carbapenemase.2 The emergence of resistance to colistin among gram-negative pathogens is creating infections with very limited treatment options.3 A recently discovered enzyme, phosphoethanolamine transferase, encoded by the mcr-1 gene is responsible for plasmid-mediated colistin resistance.4 This novel mechanism of resistance is a matter of concern as it may cause pan-drug resistance among the member of Enterobacteriaceae.5 At least six members of Enterobacteriaceae have been reported as the recipient of the highly diverse mcr-1 bearing plasmids having complex dissemination mechanisms.6 This study was done to know the prevalence of colistin- resistant as well as mcr-1 producing Gram-negative isolates as colistin resistance is increasing among Gram-negative isolates globally. METHODS: This descriptive cross-sectional study was done at Annapurna Neurological Hospital and Allied Sciences, Maitighar, Kathmandu, Nepal, and the study duration was June 2016 to February 2017. The research protocol was approved by an ethical review board of the Nepal Health Research Council (Reg. no: 274/2016). All patients attending the hospital with suspected bacterial infections were included in this study as a study population. Samples that were collected from patients currently under antibiotics therapy, samples with a clear sign of contamination, and those collected in improper containers were excluded from the study. The convenience sampling method was used and all the samples obtained during the study period were analyzed. The sample size (n) was calculated as, Where, n = required sample sizeZ = 1.96 at 95% Confidence Interval (CI)p = prevalence of colistin resistance, 3.16%7e = margin of error, 2% n = required sample size Z = 1.96 at 95% Confidence Interval (CI) p = prevalence of colistin resistance, 3.16%7 e = margin of error, 2% Hence, the calculated sample size was 294 but we analyzed 485 isolates in our study. So, 485 Gram-negative bacteria from various clinical specimens were included in the study excluding intrinsic colistin-resistant Gram-negative bacteria as reported earlier.3 The identification of isolates was done by routine biochemical tests and colony characteristics. Isolates resistant to colistin using discs diffusion (10μg, Himedia-Laboratories, India), as per CLSI guidelines8 were further examined by colistin MIC detection using E-stripes to confirm phenotypic colistin-resistance. E. coli ATCC 25922 was used as a negative control. Isolates resistant to colistin were selected for further study and preserved using glycerol stock until plasmid extraction. For the detection of a 309 bp internal fragment of mcr-1 gene, 5μl of the plasmid DNA was subjected to PCR using specific primers; mcr-1 Forward (5'-CGGTCAGTCCGTTTGTTC-3') and mcr-1 Reverse (5'-CTTGGTCGGTCTGTAGGG-3') as reported already.4,9 The positive control used was mcr-1 positive plasmid of E.coli while the plasmid of E. coli ATCC 25922 was used as a negative control. The thermal cycling process reported by Cavaco et al9 using mcr-1 specific primers was followed for PCR. Amplified products were visualized after electrophoresis on the agarose gel. DNA ladder (100 bp) was used as a molecular weight marker where an amplified product having size 309 bp was regarded as mcr-1 positive (Figure 1). Lane1-100bp DNA ladder, Lane 2-blank, Lane 3-mcr-1 positive control (309bp), Lane 4-5 mcr-1 positive, Lane 6-8 mcr-1 negative Data entry and analysis were done in the Microsoft Excel 2010 and Statistical Package for the Social Sciences version 16. Descriptive statistics were expressed as frequency and proportion for binary data. RESULTS: A total of 485 gram-negative isolates were included in the study. Among these isolates, only 13 (2.68%) (1.26-6.62 at 95% CI) were resistant to colistin by phenotypic methods. Colistin resistance was higher in E.coli 6 (4.10%) isolates followed by Enterobacter spp 2 (2.81%) and Acinetobacter spp 2 (2.81%). The majority i.e 8 (61.5%) of colistin-resistant isolates were from the Intensive care Unit (ICU) followed by an emergency ward, surgery ward, and outpatient department (OPD) (Table 1). IPM=Imipenem, PB=PolymyxinB, AT=Azteronam, PIT=Piperacillin-Tazobactam, AK=Amikacin, GEN=Gentamicin, CIP=Ciprofloxacin, CAZ=Ceftazidime, CTR=Ceftriaxone The range of colistin MIC for these isolates was 4 to >256 μg/ml (Table 1). Colistin-resistant isolates were highly drug-resistant, as all of these pathogens were resistant to ceftazidime and ceftriaxone and resistance was high for antibiotics like imipenem, ciprofloxacin, gentamicin, amikacin, aztreonam, and piperacillin- tazobactam. The highest rate of sensitivity was noted only to polymyxin B as 7 isolates (54%) were sensitive to it indicating this antibiotic as a treatment option for the majority of these pathogens. Out of the 13 colistin-resistant isolates, only two (15.38%) isolates were positive for mcr-1 gene with the mcr-1 gene found in 0.41% of total Gram-negative isolates. One (0.68%) isolate of E.coli of all E.coli isolates and one (1.04%) Klebsiella pneumoniae of all Klebsiella isolates were positive for the gene. Although colistin-resistant isolates were from different clinical samples, the mcr-1 gene was detected only from urine and blood isolate. mcr-1 positive isolates were obtained from both male and female patient one each having age group 15-45 years and 45 years above respectively. mcr-1 positive isolates were extremely drug-resistant as they were resistant to almost all routine antibiotics. mcr-1 positive Klebsiella pneumoniae isolate was resistant even to polymyxin B while the other was sensitive to it. DISCUSSION: The prevalence of colistin-resistant Gram-negative isolates found in this study was comparable to the study by Wong et al.10 Similarly, another study has reported that less than 10% isolates were resistant to colistin globally whereas the pattern was quite higher in India and the Philippines with 13.8% and 50% prevalence respectively.11 This variation may be the result of geographic variation, the difference of study period, the methodology used, and variation in colistin use, etc. The distribution of colistin resistance among gram-negative isolates within hospital wards presents a horrible picture as 8 out of 13 colistin-resistant isolates were from intensive care unit patients. Various factors may be contributing to the emergence of these isolates in inpatients are prolonged stay in ICU, the process of surgery, use of colistin as well as third-generation cephalosporins and monobactams as indicated by Matthaiou's study12 and either inadequate or excess use of colistin.13 The high incidence of these isolates in the ICU and other wards poses a great challenge for their treatment. Not only this, these wards may act as a silent active source of dissemination of these highly notorious pathogens to other patients. In this study, we reported variable colistin MIC values of the colistin-resistant isolate. These findings were in accordance with the finding of Liassine et al where they have reported the colistin MIC range of 4 to >128 mg/l.5 Similarly, various other studies have reported highly variable colistin MIC values of such isolates.10,11,13 This increasing resistance against colistin may be due to increased use of colistin for the treatment of MDR gram-negative isolates by clinicians.11 Isolates that were resistant to a last-line drug, colistin, were also resistant to many of the routine antibiotics. Such a high drug resistance among such pathogens has been reported by various authors.3,4,13 However, they were not resistant to all available antibiotics as found in this study because Polymyxin B was effective against the majority of these isolates and other antibiotics like imipenem, amikacin, gentamicin, aztreonam, and ciprofloxacin were effective against some of the isolates. As reported by other researches, treatment options for colistin-resistant isolates may be combination therapy.3 These results indicate that some of these isolates are still treatable by various classes of antibiotics as indicated by Walkty et al.2 The incidence of mcr-1 gene among colistin-resistant isolate was 15.3%, which was very analogous to the findings of Walkty et al.2 In this study, less than 0.5% gram-negative isolates (excluding intrinsic colistin resistant spp) were positive for mcr-1 gene. The study of Fernandes et al also reported similar results.14 In addition to these, a very matching prevalence of mcr-1 gene among enterobacterial isolates was reported by Wong et al.10 This low prevalence of the plasmid-mediated mcr-1 gene indicates that there is another significant mechanism for colistin resistance among gram-negative isolates in this region and may be due to chromosomal or by other mcr variants reported by Zhang et al.15 There is an urgent need to detect such mechanisms for the proper control and management of these superbugs. Out of different colistin-resistant pathogens, only E.coli and Klebsiella pneumoniae harbored the gene with a prevalence of around 1%. Similarly, Quan et al reported that 1.1% E.coli isolates (20 out of 1495) and <1% Klebsiella spp (1 out of 571) were mcr-1 positive.16 The presence of mcr-1 gene mostly in E.coli and/or Klebsiella spp is supported by other studies as well.10,17,18 Colistin-resistant isolates from urine and blood were positive for the gene. These findings are comparable with the findings of Wong et al.10 Similarly, the prevalence of colistin resistance was higher in urine, sputum and blood isolate in our study as like the findings of Arjun et al. where the blood, urine, and respiratory isolates were predominant colistin-resistant isolates.3 The emergence of gram-negative isolates resistant to last-line drugs like colistin and polymyxin B is a matter of concern as some of the isolates in this study were extremely drug-resistant having very limited treatment options. Likewise, colistin resistance has been reported from Canada,2 India,3 South Africa4, Greece,13 and Australia19 as well. These isolates are limited not only in E.coli and Klebsiella spp, but they also have been detected in Acinetobacter, Pseudomonas, Enterobacter, Citrobacter, Salmonella, Pantoea20 and various other gram-negative isolates. This global dissemination of these pathogens among the majority of significant human pathogens may mimic the rapid spread as that of New Delhi Metallo-β-lactamase and poses a possibility of reverting the situation to the preantibiotic era in near future. This study has some limitations as this study was focused only on colistin-resistant isolates to detect mcr-1 gene but there is a case of detection of this gene in colistin susceptible isolates.1 Moreover, only clinical isolates were taken into consideration while there are several reports of mcr-1detection from food, food animals, and environmental isolates.21 Screening of clinical, food, and various environmental samples to detect these pathogens as well as detail molecular analysis is necessary to get the real picture of this problem in this region. CONCLUSIONS: This study has detected the plasmid-mediated colistin-resistant gene mcr-1 in Nepal for the first time among clinical gram-negative isolates. Less than 3 percent of gram-negative isolates were found to be colistin- resistant. The incidence of mcr-1 gene was low among these isolates. E.coli and Klebsiella were found to harbor mcr-1 gene. Colistin-resistant isolates were more prevalent in ICU increasing the treatment difficulty of vulnerable patients. colistin-resistant isolates were highly drug-resistant and were not susceptible to almost all routine antibiotics.
Background: Gram-negative isolates harboring mobilized colistin resistance (mcr-1) gene are a great threat to human health. They have been reported worldwide among various bacterial isolates. This work aimed to study the prevalence of colistin resistance among Gram-negative bacteria and the incidence of mcr-1 gene among these isolates. Methods: A descriptive cross-sectional study was done at a tertiary care center from June 2016 to February 2017. An ethical approval was taken from review board of the Nepal Health Research Council (Reg. no: 274/2016). Convenience sampling was used. The data was collected and analyzed using Microsoft Excel 2010 and Statistical Package for Social Sciences (SPSS) Version 16 . Point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data. Results: Among 485 gram-negative isolates, only 13 (2.68%) (1.26-6.62 at 95% Confidence Interval) isolates were colistin-resistant and mcr-1 was present in two isolates. Predominant colistin-resistant isolates were E. coli 6 (4.1%), Enterobacter spp 2 (2.81%), and Acinetobacter spp 2 (2.81%). A high level of colistin-resistance was noted in 4 (30.7%) isolates as indicated by the very high value of colistin MIC (>256 μg/ml). ICU was the major site of isolation of colistin-resistant and mcr-1 positive pathogens. The majority of colistin-resistant isolates were highly drug-resistant and were sensitive only to polymyxin B. Antibiotics like imipenem, amikacin, gentamicin, aztreonam, ciprofloxacin, and piperacillin-tazobactam were effective for few of these isolates. Conclusions: Though the prevalence of mcr-1 gene was low among colistin-resistant gram-negative isolates, the resistant pattern was quite alarming as these isolates were highly drug-resistant.
INTRODUCTION: Colistin, although not used in routine treatment procedure due to its toxicity, is a very effective treatment option against the majority of multi-drug-resistant gram-negative pathogens.1 Colistin is active against isolates producing New Delhi Metallo-(β-lactamase and Klebsiella pneumoniae carbapenemase.2 The emergence of resistance to colistin among gram-negative pathogens is creating infections with very limited treatment options.3 A recently discovered enzyme, phosphoethanolamine transferase, encoded by the mcr-1 gene is responsible for plasmid-mediated colistin resistance.4 This novel mechanism of resistance is a matter of concern as it may cause pan-drug resistance among the member of Enterobacteriaceae.5 At least six members of Enterobacteriaceae have been reported as the recipient of the highly diverse mcr-1 bearing plasmids having complex dissemination mechanisms.6 This study was done to know the prevalence of colistin- resistant as well as mcr-1 producing Gram-negative isolates as colistin resistance is increasing among Gram-negative isolates globally. CONCLUSIONS: This study has detected the plasmid-mediated colistin-resistant gene mcr-1 in Nepal for the first time among clinical gram-negative isolates. Less than 3 percent of gram-negative isolates were found to be colistin- resistant. The incidence of mcr-1 gene was low among these isolates. E.coli and Klebsiella were found to harbor mcr-1 gene. Colistin-resistant isolates were more prevalent in ICU increasing the treatment difficulty of vulnerable patients. colistin-resistant isolates were highly drug-resistant and were not susceptible to almost all routine antibiotics.
Background: Gram-negative isolates harboring mobilized colistin resistance (mcr-1) gene are a great threat to human health. They have been reported worldwide among various bacterial isolates. This work aimed to study the prevalence of colistin resistance among Gram-negative bacteria and the incidence of mcr-1 gene among these isolates. Methods: A descriptive cross-sectional study was done at a tertiary care center from June 2016 to February 2017. An ethical approval was taken from review board of the Nepal Health Research Council (Reg. no: 274/2016). Convenience sampling was used. The data was collected and analyzed using Microsoft Excel 2010 and Statistical Package for Social Sciences (SPSS) Version 16 . Point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data. Results: Among 485 gram-negative isolates, only 13 (2.68%) (1.26-6.62 at 95% Confidence Interval) isolates were colistin-resistant and mcr-1 was present in two isolates. Predominant colistin-resistant isolates were E. coli 6 (4.1%), Enterobacter spp 2 (2.81%), and Acinetobacter spp 2 (2.81%). A high level of colistin-resistance was noted in 4 (30.7%) isolates as indicated by the very high value of colistin MIC (>256 μg/ml). ICU was the major site of isolation of colistin-resistant and mcr-1 positive pathogens. The majority of colistin-resistant isolates were highly drug-resistant and were sensitive only to polymyxin B. Antibiotics like imipenem, amikacin, gentamicin, aztreonam, ciprofloxacin, and piperacillin-tazobactam were effective for few of these isolates. Conclusions: Though the prevalence of mcr-1 gene was low among colistin-resistant gram-negative isolates, the resistant pattern was quite alarming as these isolates were highly drug-resistant.
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[ "isolates", "colistin", "resistant", "mcr", "study", "colistin resistant", "negative", "gene", "gram", "gram negative" ]
[ "pathogens colistin", "phenotypic colistin resistance", "colistin resistant gram", "colistin resistant isolates", "resistant pathogens coli" ]
[CONTENT] colistin-resistant | gram-negative isolates | mcr-1 gene | Nepal [SUMMARY]
[CONTENT] colistin-resistant | gram-negative isolates | mcr-1 gene | Nepal [SUMMARY]
[CONTENT] colistin-resistant | gram-negative isolates | mcr-1 gene | Nepal [SUMMARY]
[CONTENT] colistin-resistant | gram-negative isolates | mcr-1 gene | Nepal [SUMMARY]
[CONTENT] colistin-resistant | gram-negative isolates | mcr-1 gene | Nepal [SUMMARY]
[CONTENT] colistin-resistant | gram-negative isolates | mcr-1 gene | Nepal [SUMMARY]
[CONTENT] Anti-Bacterial Agents | Colistin | Cross-Sectional Studies | Drug Resistance, Bacterial | Escherichia coli | Escherichia coli Proteins | Humans | Microbial Sensitivity Tests | Prevalence | Tertiary Care Centers [SUMMARY]
[CONTENT] Anti-Bacterial Agents | Colistin | Cross-Sectional Studies | Drug Resistance, Bacterial | Escherichia coli | Escherichia coli Proteins | Humans | Microbial Sensitivity Tests | Prevalence | Tertiary Care Centers [SUMMARY]
[CONTENT] Anti-Bacterial Agents | Colistin | Cross-Sectional Studies | Drug Resistance, Bacterial | Escherichia coli | Escherichia coli Proteins | Humans | Microbial Sensitivity Tests | Prevalence | Tertiary Care Centers [SUMMARY]
[CONTENT] Anti-Bacterial Agents | Colistin | Cross-Sectional Studies | Drug Resistance, Bacterial | Escherichia coli | Escherichia coli Proteins | Humans | Microbial Sensitivity Tests | Prevalence | Tertiary Care Centers [SUMMARY]
[CONTENT] Anti-Bacterial Agents | Colistin | Cross-Sectional Studies | Drug Resistance, Bacterial | Escherichia coli | Escherichia coli Proteins | Humans | Microbial Sensitivity Tests | Prevalence | Tertiary Care Centers [SUMMARY]
[CONTENT] Anti-Bacterial Agents | Colistin | Cross-Sectional Studies | Drug Resistance, Bacterial | Escherichia coli | Escherichia coli Proteins | Humans | Microbial Sensitivity Tests | Prevalence | Tertiary Care Centers [SUMMARY]
[CONTENT] pathogens colistin | phenotypic colistin resistance | colistin resistant gram | colistin resistant isolates | resistant pathogens coli [SUMMARY]
[CONTENT] pathogens colistin | phenotypic colistin resistance | colistin resistant gram | colistin resistant isolates | resistant pathogens coli [SUMMARY]
[CONTENT] pathogens colistin | phenotypic colistin resistance | colistin resistant gram | colistin resistant isolates | resistant pathogens coli [SUMMARY]
[CONTENT] pathogens colistin | phenotypic colistin resistance | colistin resistant gram | colistin resistant isolates | resistant pathogens coli [SUMMARY]
[CONTENT] pathogens colistin | phenotypic colistin resistance | colistin resistant gram | colistin resistant isolates | resistant pathogens coli [SUMMARY]
[CONTENT] pathogens colistin | phenotypic colistin resistance | colistin resistant gram | colistin resistant isolates | resistant pathogens coli [SUMMARY]
[CONTENT] isolates | colistin | resistant | mcr | study | colistin resistant | negative | gene | gram | gram negative [SUMMARY]
[CONTENT] isolates | colistin | resistant | mcr | study | colistin resistant | negative | gene | gram | gram negative [SUMMARY]
[CONTENT] isolates | colistin | resistant | mcr | study | colistin resistant | negative | gene | gram | gram negative [SUMMARY]
[CONTENT] isolates | colistin | resistant | mcr | study | colistin resistant | negative | gene | gram | gram negative [SUMMARY]
[CONTENT] isolates | colistin | resistant | mcr | study | colistin resistant | negative | gene | gram | gram negative [SUMMARY]
[CONTENT] isolates | colistin | resistant | mcr | study | colistin resistant | negative | gene | gram | gram negative [SUMMARY]
[CONTENT] colistin | resistance | negative pathogens | producing | gram negative pathogens | enterobacteriaceae | gram | gram negative | negative | treatment [SUMMARY]
[CONTENT] mcr | study | lane | sample | size | positive | colistin | control | lane mcr | dna [SUMMARY]
[CONTENT] isolates | resistant | positive | colistin | mcr | resistant isolates | colistin resistant isolates | isolate | mcr positive | ceftriaxone [SUMMARY]
[CONTENT] isolates | resistant | colistin | colistin resistant | gene | mcr | resistant isolates | found | colistin resistant isolates | negative isolates [SUMMARY]
[CONTENT] isolates | colistin | resistant | mcr | colistin resistant | negative | study | resistance | gram | gram negative [SUMMARY]
[CONTENT] isolates | colistin | resistant | mcr | colistin resistant | negative | study | resistance | gram | gram negative [SUMMARY]
[CONTENT] Gram-negative | colistin ||| ||| colistin | Gram [SUMMARY]
[CONTENT] tertiary | June 2016 to February 2017 ||| the Nepal Health Research Council | 274/2016 ||| ||| Microsoft | Excel | 2010 | Statistical Package for Social Sciences | SPSS ||| 16 ||| Point | 95% [SUMMARY]
[CONTENT] 485 | only 13 | 2.68% | 1.26-6.62 | 95% | mcr-1 | two ||| 6 | 4.1% | 2 | 2.81% | Acinetobacter | 2.81% ||| 4 | 30.7% | MIC | 256 μg/ml ||| ICU ||| B. Antibiotics [SUMMARY]
[CONTENT] [SUMMARY]
[CONTENT] Gram-negative | colistin ||| ||| colistin | Gram ||| tertiary | June 2016 to February 2017 ||| the Nepal Health Research Council | 274/2016 ||| ||| Microsoft | Excel | 2010 | Statistical Package for Social Sciences | SPSS ||| 16 ||| Point | 95% ||| 485 gram | only 13 | 2.68% | 1.26-6.62 | 95% | mcr-1 | two ||| 6 | 4.1% | 2 | 2.81% | Acinetobacter | 2.81% ||| 4 | 30.7% | MIC | 256 μg/ml ||| ICU ||| B. Antibiotics ||| [SUMMARY]
[CONTENT] Gram-negative | colistin ||| ||| colistin | Gram ||| tertiary | June 2016 to February 2017 ||| the Nepal Health Research Council | 274/2016 ||| ||| Microsoft | Excel | 2010 | Statistical Package for Social Sciences | SPSS ||| 16 ||| Point | 95% ||| 485 gram | only 13 | 2.68% | 1.26-6.62 | 95% | mcr-1 | two ||| 6 | 4.1% | 2 | 2.81% | Acinetobacter | 2.81% ||| 4 | 30.7% | MIC | 256 μg/ml ||| ICU ||| B. Antibiotics ||| [SUMMARY]
Ferroptosis-based molecular prognostic model for adrenocortical carcinoma based on least absolute shrinkage and selection operator regression.
35500219
This study aimed to find ferroptosis-related genes linked to clinical outcomes of adrenocortical carcinoma (ACC) and assess the prognostic value of the model.
BACKGROUND
We downloaded the mRNA sequencing data and patient clinical data of 78 ACC patients from the TCGA data portal. Candidate ferroptosis-related genes were screened by univariate regression analysis, machine-learning least absolute shrinkage, and selection operator (LASSO). A ferroptosis-related gene-based prognostic model was constructed. The effectiveness of the prediction model was accessed by KM and ROC analysis. External validation was done using the GSE19750 cohort. A nomogram was generated. The prognostic accuracy was measured and compared with conventional staging systems (TNM stage). Functional analysis was conducted to identify biological characterization of survival-associated ferroptosis-related genes.
METHODS
Seventy genes were identified as survival-associated ferroptosis-related genes. The prognostic model was constructed with 17 ferroptosis-related genes including STMN1, RRM2, HELLS, FANCD2, AURKA, GABARAPL2, SLC7A11, KRAS, ACSL4, MAPK3, HMGB1, CXCL2, ATG7, DDIT4, NOX1, PLIN4, and STEAP3. A RiskScore was calculated for each patient. KM curve indicated good prognostic performance. The AUC of the ROC curve for predicting 1-, 3-, and 5- year(s) survival time was 0.975, 0.913, and 0.915 respectively. The nomogram prognostic evaluation model showed better predictive ability than conventional staging systems.
RESULTS
We constructed a prognosis model of ACC based on ferroptosis-related genes with better predictive value than the conventional staging system. These efforts provided candidate targets for revealing the molecular basis of ACC, as well as novel targets for drug development.
CONCLUSION
[ "Adrenal Cortex Neoplasms", "Adrenocortical Carcinoma", "Ferroptosis", "Gene Expression Regulation, Neoplastic", "Humans", "Prognosis" ]
9169198
INTRODUCTION
Programmed cell death has been shown to be a significant type of cell death. It acts as a natural barrier to prevent cells from developing into cancers. 1 , 2 Dysregulation of programmed cell death signaling pathways is emerging as a key factor in tumorigenesis. 3  The most thoroughly studied aspect of programmed cell death is apoptosis. 4 Research has revealed new mechanisms of programmed cell death, one of which is ferroptosis. The concept of ferroptosis was first proposed by Stockwell et al. 5 in 2012, and it is a non‐apoptotic programmed cell death process. Recent studies have focused on the role of ferroptosis in the progression, invasion, migration, and cell death of multiple types of cancers. 6 , 7 , 8 For most anti‐cancer drugs, activation of programmed cell death pathways to kill tumor cells is a vital anti‐tumor mechanism. Due to the acquired and intrinsic resistance of tumor cells to apoptosis, the therapeutic efficacy of inducing apoptosis in tumor is limited. 9  Therefore, the use of other forms of non‐apoptotic cell death to clear tumor cells and control the proliferation of drug‐resistant cell clones provides a new therapeutic possibility. The potential of targeting ferroptosis in cancer treatment has generated high expectations. 10 , 11 , 12 Adrenocortical carcinoma (ACC) is an isolated malignant tumor, which has attracted more and more attention since the end of the last century. 13 It is a rare and highly aggressive malignant disease and can occur at any age. Localized tumors can be cured by surgery. 14 Even if the tumor has been completely removed, however, recurrence is common. Unlike other tumors, treatment options after ACC recurrence are limited. 14 , 15 , 16  The prognosis remains poor. Most studies have shown that the median survival time of ACC patients is about 12 months. It has been thought that changes in the Wnt / β‐Catenin and IGF‐2 signaling pathways lead to ACC, but recent studies have shown that these changes are not sufficient to cause the occurrence of malignant adrenal tumors. 17 , 18  Therefore, the mechanism of the development and occurrence of ACC remains incompletely understood, and numerous genes and their functions remain to be discovered and explained. 17 , 19 ACC shares some genetic profiles that are associated with promising therapeutic responsiveness in other cancers. 20  With the development of precision medicine, we have the opportunity to identify genes that are related to clinical outcomes and novel molecular targets for new drugs. A genomics‐guided clinical care approach offers the potential for prolonging life expectancy and also improving the quality of life for ACC patients. In this study, we aimed to find candidates ferroptosis genes, which were related to clinical outcomes of ACC. We constructed a prognosis model of ACC based on ferroptosis‐related genes and then clarified the prognostic value of ferroptosis genes in ACC. These efforts may contribute to the development of better treatment strategies in the future.
METHODS
Data acquisition We downloaded the RNA‐sequencing data and clinical data for 78 ACC patients from the TCGA data portal (https://tcga‐data.nci.nih.gov/tcga/dataAccessMatrix.htm). Regulator genes and marker genes for ferroptosis (ferroptosis‐related genes) were downloaded from the FerrDb database, 21 and articles were downloaded from the PubMed database. We downloaded the RNA‐sequencing data and clinical data for 78 ACC patients from the TCGA data portal (https://tcga‐data.nci.nih.gov/tcga/dataAccessMatrix.htm). Regulator genes and marker genes for ferroptosis (ferroptosis‐related genes) were downloaded from the FerrDb database, 21 and articles were downloaded from the PubMed database. Candidate gene screening and validation, prediction model establishment Two steps were involved in the candidate gene screening. First, we performed univariate regression analysis of every ferroptosis‐related gene and overall survival. Genes with p‐values < 0.05 were included in the next step. Univariate Cox regression was carried out using the “survival” R package. Then, machine‐learning least absolute shrinkage and selection operator (LASSO) 22 were used to select independent risk factors that affected outcomes. LASSO Cox regression was implemented using the “glmnet” R package. Correlation coefficients at lambda.min were chosen for the final model, and cross‐validation was used to tune and optimize the LASSO penalty terms. K‐fold cross‐validation (k = 5) was used to train and test the model. After candidate genes were selected at lambda.min, a prognostic model was then constructed using the formula below. RiskScore was then calculated for each patient. riskScore=∑candidate ferroptosis‐related genes level∗coresponding Coef level Two steps were involved in the candidate gene screening. First, we performed univariate regression analysis of every ferroptosis‐related gene and overall survival. Genes with p‐values < 0.05 were included in the next step. Univariate Cox regression was carried out using the “survival” R package. Then, machine‐learning least absolute shrinkage and selection operator (LASSO) 22 were used to select independent risk factors that affected outcomes. LASSO Cox regression was implemented using the “glmnet” R package. Correlation coefficients at lambda.min were chosen for the final model, and cross‐validation was used to tune and optimize the LASSO penalty terms. K‐fold cross‐validation (k = 5) was used to train and test the model. After candidate genes were selected at lambda.min, a prognostic model was then constructed using the formula below. RiskScore was then calculated for each patient. riskScore=∑candidate ferroptosis‐related genes level∗coresponding Coef level Assessing the effectiveness of prediction models We grouped the patients into high‐ and low‐risk groups based on the median riskScore. The KM curve for these data was used to compare the prognosis between high‐risk and low‐risk groups according to the riskScore. Receiver operating characteristic (ROC) curves and areas under the curve (AUCs) were calculated with the “survivalROC” 23 and “survminer” R packages to demonstrate the predictive ability of riskScore for 1‐, 3‐, and 5‐year OS. A flow diagram of this trial is shown in Figure 1. Flowchart of the experiment External validation was done using the GSE19750 cohort. Data were downloaded from the GEO database. The riskScore was calculated using the formula mentioned above. The clinical data were also downloaded. We determined the ROC curve and the Kaplan–Meier curve to test the predictive value of the prognostic model. We generated nomogram by combining the riskScore value and clinic‐pathological factors to predict survival probability at 1, 3, and 5 years. This is a quantitative and intuitive method to assess the association between variables and survival. We then measured the prognostic accuracy by calculating the Harrell's concordance index (C‐index). The larger the C‐index, the more accurate the prognostic prediction proved to be. 24  We compared the prediction model with conventional staging systems using the C‐index. We assessed calibration by comparing observed and predicted survival probabilities using the KM method and applied bootstraps with 100 replicates Nomogram was undertaken using the “rms” R package. We grouped the patients into high‐ and low‐risk groups based on the median riskScore. The KM curve for these data was used to compare the prognosis between high‐risk and low‐risk groups according to the riskScore. Receiver operating characteristic (ROC) curves and areas under the curve (AUCs) were calculated with the “survivalROC” 23 and “survminer” R packages to demonstrate the predictive ability of riskScore for 1‐, 3‐, and 5‐year OS. A flow diagram of this trial is shown in Figure 1. Flowchart of the experiment External validation was done using the GSE19750 cohort. Data were downloaded from the GEO database. The riskScore was calculated using the formula mentioned above. The clinical data were also downloaded. We determined the ROC curve and the Kaplan–Meier curve to test the predictive value of the prognostic model. We generated nomogram by combining the riskScore value and clinic‐pathological factors to predict survival probability at 1, 3, and 5 years. This is a quantitative and intuitive method to assess the association between variables and survival. We then measured the prognostic accuracy by calculating the Harrell's concordance index (C‐index). The larger the C‐index, the more accurate the prognostic prediction proved to be. 24  We compared the prediction model with conventional staging systems using the C‐index. We assessed calibration by comparing observed and predicted survival probabilities using the KM method and applied bootstraps with 100 replicates Nomogram was undertaken using the “rms” R package. Functional analysis We used Gene Ontology analysis (GO) to identify characteristic biological attributes of survival‐associated ferroptosis genes and performed Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analysis to identify functional attributes. GO and KEGG analysis was done using the following R packages: “DOSE” “org. Hs.eg.db”, 25 “clusterProfiler” 26 and “pathview”. 27 For visualization of the data, the “ggplot2” 28 package was used. We used Gene Ontology analysis (GO) to identify characteristic biological attributes of survival‐associated ferroptosis genes and performed Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analysis to identify functional attributes. GO and KEGG analysis was done using the following R packages: “DOSE” “org. Hs.eg.db”, 25 “clusterProfiler” 26 and “pathview”. 27 For visualization of the data, the “ggplot2” 28 package was used.
RESULTS
The RNA‐sequencing data and clinical data of 78 ACC patients were downloaded from TCGA database. Two patients were excluded from the analysis due to missing clinical information. Of those who were qualified for inclusion, 48 were female and 28 were male. The average overall survival time was 3.39 ± 2.69 years. Two hundred fifty‐nine ferroptosis genes were downloaded from the FerrDb database and Pubmed database (123 marker genes, 109 suppressor genes, and 150 driver genes). First, we performed univariate regression analysis of every ferroptosis‐related gene and overall survival. Seventy genes were identified as survival‐associated ferroptosis‐related genes with p < 0.05. Figure 2A shows the HR level of each survival‐associated ferroptosis‐related genes. Parameter selection. (A) Forest map of the univariate regression analysis. The horizontal axis represents the Hazard ratio (HR). The horizontal ordinate represents each gene with a p‐value < 0.05 in univariate regression analysis. (B) and (C) Tuning parameter selection using LASSO with k‐fold cross‐validation (k = 5) Next, LASSO Cox regression was implemented for these 70 genes. Correlation coefficients at lambda.min were chosen for the final model (Figure 2B, C, optimal lambda.min =0.078). After fivefold cross‐validation, 17 genes were included in the final model. The Coef level for each gene is shown in Table 1. RiskScore was also calculated for each patient (Table 2). Seventeen genes included in the model and its corresponding Coef RiskScore and clinical stage for each patient OS, overall survival in days. Events indicate survival status. 1 represents patient was dead. 0 represents patient was alive. The patients were classified into low‐risk group and high‐risk group according to the median value of the risk scores. Figure 3 showed that patients with poorer prognosis had lower riskScores. For patients who died during the follow‐up, the average riskScore was −25.51 (SD = 74.47), while patients who survived follow‐up had an average riskScore of 80.84 (SD = 101.83). It is clear that these groups were significantly different with regard to RiskScores (p = 1.21E‐07, Figure 3). RiskScores of patients with different survival statuses during follow‐up. 0 representing death and 1 representing survival The median riskScore was 19.68 for all patients. Patients were grouped into high‐ and low‐risk groups based on their riskScores. The high‐risk group (riskScore >19.68) had 37 patients, and the low‐risk group (riskScore ≤19.68) had 39. KM curve showed that the high‐risk group had poorer prognoses (p < 0.0001, Figure 4A). Then, we determined the time‐dependent ROC curve to find the prognostic performance of riskScore for survival prediction. The AUC of the ROC curve for predicting 1‐, 3‐, and 5‐year(s) survival time was 0.975, 0.913, and 0.915 respectively (Figure 4B–D). (A) KM survival analysis of high‐ and low‐risk groups. Yellow curve represents high‐risk patient group; blue curve represents low‐risk patient group. (B–D). Time‐dependent ROC analysis for the prognostic model to predict 1‐ and 3‐, and 5‐ year(s) survival. Area under the curve (AUC) values are shown Data from the GSE19750 cohort were used to perform external validation of the predictive value of the model. Consistent with the results in the TCGA cohort, patients in the high‐risk group had significantly poorer survival probability than the low‐risk group (p = 0.011, Figure 5A). The AUCs for 1‐year, 3‐year, and 5‐year OS were 0.765, 0.773, and 0.805, respectively (Figure 5B–D). External Validation. (A). Nomogram predicting survival probability. (B–D). Time‐dependent ROC analysis for the prognostic model to predict 1‐ and 3‐, and 5‐ year(s) survival using the GSE19750 cohort. Area under the curve (AUC) values are shown in the figure We constructed the nomogram prognostic evaluation model to predict the 1‐, 3‐, or 5‐year OS time in patients by combining riskScores and pathological information (Figure 5A). The predictive accuracy of 1‐, 3‐, or 5‐year OS is shown in Figure 5B–D. The C‐index of the nomogram was 0.92 (se(C)=0.02). We also compared the prediction model with conventional staging systems. The C‐index for the TNM staging system was 0.75 (se(C)=0.05), which was lower than that of our model. Thus, our prognostic prediction model had better predictive ability. Figure 6 shows the GO (Figure 6A) and KEGG (Figure 6B) analyses of survival‐associated ferroptosis genes. KEGG analysis showed that the genes were mostly enriched in central carbon metabolism in cancer, cellular senescence, and the NOD‐like receptor signaling pathway. Functional analysis. (A) GO analysis. X‐axis represents three types of GO. The node size is representative of gene count level, and the color represents – log 2 (p‐value). MF: molecular function. CC: cellular component. BP: biological process. (B) KEGG analysis. X‐axis represents gene count. Y‐axis represents pathway involved in the analysis. The color represents – log 10 (p‐value)
null
null
[ "INTRODUCTION", "Data acquisition", "Candidate gene screening and validation, prediction model establishment", "Assessing the effectiveness of prediction models", "Functional analysis", "AUTHOR CONTRIBUTIONS" ]
[ "Programmed cell death has been shown to be a significant type of cell death. It acts as a natural barrier to prevent cells from developing into cancers.\n1\n, \n2\n Dysregulation of programmed cell death signaling pathways is emerging as a key factor in tumorigenesis.\n3\n The most thoroughly studied aspect of programmed cell death is apoptosis.\n4\n Research has revealed new mechanisms of programmed cell death, one of which is ferroptosis. The concept of ferroptosis was first proposed by Stockwell et al.\n5\n in 2012, and it is a non‐apoptotic programmed cell death process. Recent studies have focused on the role of ferroptosis in the progression, invasion, migration, and cell death of multiple types of cancers.\n6\n, \n7\n, \n8\n For most anti‐cancer drugs, activation of programmed cell death pathways to kill tumor cells is a vital anti‐tumor mechanism. Due to the acquired and intrinsic resistance of tumor cells to apoptosis, the therapeutic efficacy of inducing apoptosis in tumor is limited.\n9\n Therefore, the use of other forms of non‐apoptotic cell death to clear tumor cells and control the proliferation of drug‐resistant cell clones provides a new therapeutic possibility. The potential of targeting ferroptosis in cancer treatment has generated high expectations.\n10\n, \n11\n, \n12\n\n\nAdrenocortical carcinoma (ACC) is an isolated malignant tumor, which has attracted more and more attention since the end of the last century.\n13\n It is a rare and highly aggressive malignant disease and can occur at any age. Localized tumors can be cured by surgery.\n14\n Even if the tumor has been completely removed, however, recurrence is common. Unlike other tumors, treatment options after ACC recurrence are limited.\n14\n, \n15\n, \n16\n The prognosis remains poor. Most studies have shown that the median survival time of ACC patients is about 12 months. It has been thought that changes in the Wnt / β‐Catenin and IGF‐2 signaling pathways lead to ACC, but recent studies have shown that these changes are not sufficient to cause the occurrence of malignant adrenal tumors.\n17\n, \n18\n Therefore, the mechanism of the development and occurrence of ACC remains incompletely understood, and numerous genes and their functions remain to be discovered and explained.\n17\n, \n19\n ACC shares some genetic profiles that are associated with promising therapeutic responsiveness in other cancers.\n20\n With the development of precision medicine, we have the opportunity to identify genes that are related to clinical outcomes and novel molecular targets for new drugs. A genomics‐guided clinical care approach offers the potential for prolonging life expectancy and also improving the quality of life for ACC patients.\nIn this study, we aimed to find candidates ferroptosis genes, which were related to clinical outcomes of ACC. We constructed a prognosis model of ACC based on ferroptosis‐related genes and then clarified the prognostic value of ferroptosis genes in ACC. These efforts may contribute to the development of better treatment strategies in the future.", "We downloaded the RNA‐sequencing data and clinical data for 78 ACC patients from the TCGA data portal (https://tcga‐data.nci.nih.gov/tcga/dataAccessMatrix.htm). Regulator genes and marker genes for ferroptosis (ferroptosis‐related genes) were downloaded from the FerrDb database,\n21\n and articles were downloaded from the PubMed database.", "Two steps were involved in the candidate gene screening. First, we performed univariate regression analysis of every ferroptosis‐related gene and overall survival. Genes with p‐values < 0.05 were included in the next step. Univariate Cox regression was carried out using the “survival” R package. Then, machine‐learning least absolute shrinkage and selection operator (LASSO)\n22\n were used to select independent risk factors that affected outcomes. LASSO Cox regression was implemented using the “glmnet” R package. Correlation coefficients at lambda.min were chosen for the final model, and cross‐validation was used to tune and optimize the LASSO penalty terms. K‐fold cross‐validation (k = 5) was used to train and test the model.\nAfter candidate genes were selected at lambda.min, a prognostic model was then constructed using the formula below. RiskScore was then calculated for each patient.\nriskScore=∑candidate ferroptosis‐related genes level∗coresponding Coef level\n\n", "We grouped the patients into high‐ and low‐risk groups based on the median riskScore. The KM curve for these data was used to compare the prognosis between high‐risk and low‐risk groups according to the riskScore. Receiver operating characteristic (ROC) curves and areas under the curve (AUCs) were calculated with the “survivalROC”\n23\n and “survminer” R packages to demonstrate the predictive ability of riskScore for 1‐, 3‐, and 5‐year OS. A flow diagram of this trial is shown in Figure 1.\nFlowchart of the experiment\nExternal validation was done using the GSE19750 cohort. Data were downloaded from the GEO database. The riskScore was calculated using the formula mentioned above. The clinical data were also downloaded. We determined the ROC curve and the Kaplan–Meier curve to test the predictive value of the prognostic model.\nWe generated nomogram by combining the riskScore value and clinic‐pathological factors to predict survival probability at 1, 3, and 5 years. This is a quantitative and intuitive method to assess the association between variables and survival. We then measured the prognostic accuracy by calculating the Harrell's concordance index (C‐index). The larger the C‐index, the more accurate the prognostic prediction proved to be.\n24\n We compared the prediction model with conventional staging systems using the C‐index. We assessed calibration by comparing observed and predicted survival probabilities using the KM method and applied bootstraps with 100 replicates Nomogram was undertaken using the “rms” R package.", "We used Gene Ontology analysis (GO) to identify characteristic biological attributes of survival‐associated ferroptosis genes and performed Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analysis to identify functional attributes. GO and KEGG analysis was done using the following R packages: “DOSE” “org. Hs.eg.db”,\n25\n “clusterProfiler”\n26\n and “pathview”.\n27\n For visualization of the data, the “ggplot2”\n28\n package was used.", "Lin, Liang, and Hu contributed to the literature search and the design of the study. Lin and Liang analyzed and interpreted the data. Lin and Liang wrote the study Lin and Sun formatted the figures and tables. Sun revised the article Hu helped perform the analysis with constructive discussions. The final study was approved by all the authors." ]
[ null, null, null, null, null, null ]
[ "INTRODUCTION", "METHODS", "Data acquisition", "Candidate gene screening and validation, prediction model establishment", "Assessing the effectiveness of prediction models", "Functional analysis", "RESULTS", "DISCUSSION", "CONFLICT OF INTEREST", "AUTHOR CONTRIBUTIONS" ]
[ "Programmed cell death has been shown to be a significant type of cell death. It acts as a natural barrier to prevent cells from developing into cancers.\n1\n, \n2\n Dysregulation of programmed cell death signaling pathways is emerging as a key factor in tumorigenesis.\n3\n The most thoroughly studied aspect of programmed cell death is apoptosis.\n4\n Research has revealed new mechanisms of programmed cell death, one of which is ferroptosis. The concept of ferroptosis was first proposed by Stockwell et al.\n5\n in 2012, and it is a non‐apoptotic programmed cell death process. Recent studies have focused on the role of ferroptosis in the progression, invasion, migration, and cell death of multiple types of cancers.\n6\n, \n7\n, \n8\n For most anti‐cancer drugs, activation of programmed cell death pathways to kill tumor cells is a vital anti‐tumor mechanism. Due to the acquired and intrinsic resistance of tumor cells to apoptosis, the therapeutic efficacy of inducing apoptosis in tumor is limited.\n9\n Therefore, the use of other forms of non‐apoptotic cell death to clear tumor cells and control the proliferation of drug‐resistant cell clones provides a new therapeutic possibility. The potential of targeting ferroptosis in cancer treatment has generated high expectations.\n10\n, \n11\n, \n12\n\n\nAdrenocortical carcinoma (ACC) is an isolated malignant tumor, which has attracted more and more attention since the end of the last century.\n13\n It is a rare and highly aggressive malignant disease and can occur at any age. Localized tumors can be cured by surgery.\n14\n Even if the tumor has been completely removed, however, recurrence is common. Unlike other tumors, treatment options after ACC recurrence are limited.\n14\n, \n15\n, \n16\n The prognosis remains poor. Most studies have shown that the median survival time of ACC patients is about 12 months. It has been thought that changes in the Wnt / β‐Catenin and IGF‐2 signaling pathways lead to ACC, but recent studies have shown that these changes are not sufficient to cause the occurrence of malignant adrenal tumors.\n17\n, \n18\n Therefore, the mechanism of the development and occurrence of ACC remains incompletely understood, and numerous genes and their functions remain to be discovered and explained.\n17\n, \n19\n ACC shares some genetic profiles that are associated with promising therapeutic responsiveness in other cancers.\n20\n With the development of precision medicine, we have the opportunity to identify genes that are related to clinical outcomes and novel molecular targets for new drugs. A genomics‐guided clinical care approach offers the potential for prolonging life expectancy and also improving the quality of life for ACC patients.\nIn this study, we aimed to find candidates ferroptosis genes, which were related to clinical outcomes of ACC. We constructed a prognosis model of ACC based on ferroptosis‐related genes and then clarified the prognostic value of ferroptosis genes in ACC. These efforts may contribute to the development of better treatment strategies in the future.", "Data acquisition We downloaded the RNA‐sequencing data and clinical data for 78 ACC patients from the TCGA data portal (https://tcga‐data.nci.nih.gov/tcga/dataAccessMatrix.htm). Regulator genes and marker genes for ferroptosis (ferroptosis‐related genes) were downloaded from the FerrDb database,\n21\n and articles were downloaded from the PubMed database.\nWe downloaded the RNA‐sequencing data and clinical data for 78 ACC patients from the TCGA data portal (https://tcga‐data.nci.nih.gov/tcga/dataAccessMatrix.htm). Regulator genes and marker genes for ferroptosis (ferroptosis‐related genes) were downloaded from the FerrDb database,\n21\n and articles were downloaded from the PubMed database.\nCandidate gene screening and validation, prediction model establishment Two steps were involved in the candidate gene screening. First, we performed univariate regression analysis of every ferroptosis‐related gene and overall survival. Genes with p‐values < 0.05 were included in the next step. Univariate Cox regression was carried out using the “survival” R package. Then, machine‐learning least absolute shrinkage and selection operator (LASSO)\n22\n were used to select independent risk factors that affected outcomes. LASSO Cox regression was implemented using the “glmnet” R package. Correlation coefficients at lambda.min were chosen for the final model, and cross‐validation was used to tune and optimize the LASSO penalty terms. K‐fold cross‐validation (k = 5) was used to train and test the model.\nAfter candidate genes were selected at lambda.min, a prognostic model was then constructed using the formula below. RiskScore was then calculated for each patient.\nriskScore=∑candidate ferroptosis‐related genes level∗coresponding Coef level\n\n\nTwo steps were involved in the candidate gene screening. First, we performed univariate regression analysis of every ferroptosis‐related gene and overall survival. Genes with p‐values < 0.05 were included in the next step. Univariate Cox regression was carried out using the “survival” R package. Then, machine‐learning least absolute shrinkage and selection operator (LASSO)\n22\n were used to select independent risk factors that affected outcomes. LASSO Cox regression was implemented using the “glmnet” R package. Correlation coefficients at lambda.min were chosen for the final model, and cross‐validation was used to tune and optimize the LASSO penalty terms. K‐fold cross‐validation (k = 5) was used to train and test the model.\nAfter candidate genes were selected at lambda.min, a prognostic model was then constructed using the formula below. RiskScore was then calculated for each patient.\nriskScore=∑candidate ferroptosis‐related genes level∗coresponding Coef level\n\n\nAssessing the effectiveness of prediction models We grouped the patients into high‐ and low‐risk groups based on the median riskScore. The KM curve for these data was used to compare the prognosis between high‐risk and low‐risk groups according to the riskScore. Receiver operating characteristic (ROC) curves and areas under the curve (AUCs) were calculated with the “survivalROC”\n23\n and “survminer” R packages to demonstrate the predictive ability of riskScore for 1‐, 3‐, and 5‐year OS. A flow diagram of this trial is shown in Figure 1.\nFlowchart of the experiment\nExternal validation was done using the GSE19750 cohort. Data were downloaded from the GEO database. The riskScore was calculated using the formula mentioned above. The clinical data were also downloaded. We determined the ROC curve and the Kaplan–Meier curve to test the predictive value of the prognostic model.\nWe generated nomogram by combining the riskScore value and clinic‐pathological factors to predict survival probability at 1, 3, and 5 years. This is a quantitative and intuitive method to assess the association between variables and survival. We then measured the prognostic accuracy by calculating the Harrell's concordance index (C‐index). The larger the C‐index, the more accurate the prognostic prediction proved to be.\n24\n We compared the prediction model with conventional staging systems using the C‐index. We assessed calibration by comparing observed and predicted survival probabilities using the KM method and applied bootstraps with 100 replicates Nomogram was undertaken using the “rms” R package.\nWe grouped the patients into high‐ and low‐risk groups based on the median riskScore. The KM curve for these data was used to compare the prognosis between high‐risk and low‐risk groups according to the riskScore. Receiver operating characteristic (ROC) curves and areas under the curve (AUCs) were calculated with the “survivalROC”\n23\n and “survminer” R packages to demonstrate the predictive ability of riskScore for 1‐, 3‐, and 5‐year OS. A flow diagram of this trial is shown in Figure 1.\nFlowchart of the experiment\nExternal validation was done using the GSE19750 cohort. Data were downloaded from the GEO database. The riskScore was calculated using the formula mentioned above. The clinical data were also downloaded. We determined the ROC curve and the Kaplan–Meier curve to test the predictive value of the prognostic model.\nWe generated nomogram by combining the riskScore value and clinic‐pathological factors to predict survival probability at 1, 3, and 5 years. This is a quantitative and intuitive method to assess the association between variables and survival. We then measured the prognostic accuracy by calculating the Harrell's concordance index (C‐index). The larger the C‐index, the more accurate the prognostic prediction proved to be.\n24\n We compared the prediction model with conventional staging systems using the C‐index. We assessed calibration by comparing observed and predicted survival probabilities using the KM method and applied bootstraps with 100 replicates Nomogram was undertaken using the “rms” R package.\nFunctional analysis We used Gene Ontology analysis (GO) to identify characteristic biological attributes of survival‐associated ferroptosis genes and performed Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analysis to identify functional attributes. GO and KEGG analysis was done using the following R packages: “DOSE” “org. Hs.eg.db”,\n25\n “clusterProfiler”\n26\n and “pathview”.\n27\n For visualization of the data, the “ggplot2”\n28\n package was used.\nWe used Gene Ontology analysis (GO) to identify characteristic biological attributes of survival‐associated ferroptosis genes and performed Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analysis to identify functional attributes. GO and KEGG analysis was done using the following R packages: “DOSE” “org. Hs.eg.db”,\n25\n “clusterProfiler”\n26\n and “pathview”.\n27\n For visualization of the data, the “ggplot2”\n28\n package was used.", "We downloaded the RNA‐sequencing data and clinical data for 78 ACC patients from the TCGA data portal (https://tcga‐data.nci.nih.gov/tcga/dataAccessMatrix.htm). Regulator genes and marker genes for ferroptosis (ferroptosis‐related genes) were downloaded from the FerrDb database,\n21\n and articles were downloaded from the PubMed database.", "Two steps were involved in the candidate gene screening. First, we performed univariate regression analysis of every ferroptosis‐related gene and overall survival. Genes with p‐values < 0.05 were included in the next step. Univariate Cox regression was carried out using the “survival” R package. Then, machine‐learning least absolute shrinkage and selection operator (LASSO)\n22\n were used to select independent risk factors that affected outcomes. LASSO Cox regression was implemented using the “glmnet” R package. Correlation coefficients at lambda.min were chosen for the final model, and cross‐validation was used to tune and optimize the LASSO penalty terms. K‐fold cross‐validation (k = 5) was used to train and test the model.\nAfter candidate genes were selected at lambda.min, a prognostic model was then constructed using the formula below. RiskScore was then calculated for each patient.\nriskScore=∑candidate ferroptosis‐related genes level∗coresponding Coef level\n\n", "We grouped the patients into high‐ and low‐risk groups based on the median riskScore. The KM curve for these data was used to compare the prognosis between high‐risk and low‐risk groups according to the riskScore. Receiver operating characteristic (ROC) curves and areas under the curve (AUCs) were calculated with the “survivalROC”\n23\n and “survminer” R packages to demonstrate the predictive ability of riskScore for 1‐, 3‐, and 5‐year OS. A flow diagram of this trial is shown in Figure 1.\nFlowchart of the experiment\nExternal validation was done using the GSE19750 cohort. Data were downloaded from the GEO database. The riskScore was calculated using the formula mentioned above. The clinical data were also downloaded. We determined the ROC curve and the Kaplan–Meier curve to test the predictive value of the prognostic model.\nWe generated nomogram by combining the riskScore value and clinic‐pathological factors to predict survival probability at 1, 3, and 5 years. This is a quantitative and intuitive method to assess the association between variables and survival. We then measured the prognostic accuracy by calculating the Harrell's concordance index (C‐index). The larger the C‐index, the more accurate the prognostic prediction proved to be.\n24\n We compared the prediction model with conventional staging systems using the C‐index. We assessed calibration by comparing observed and predicted survival probabilities using the KM method and applied bootstraps with 100 replicates Nomogram was undertaken using the “rms” R package.", "We used Gene Ontology analysis (GO) to identify characteristic biological attributes of survival‐associated ferroptosis genes and performed Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analysis to identify functional attributes. GO and KEGG analysis was done using the following R packages: “DOSE” “org. Hs.eg.db”,\n25\n “clusterProfiler”\n26\n and “pathview”.\n27\n For visualization of the data, the “ggplot2”\n28\n package was used.", "The RNA‐sequencing data and clinical data of 78 ACC patients were downloaded from TCGA database. Two patients were excluded from the analysis due to missing clinical information. Of those who were qualified for inclusion, 48 were female and 28 were male. The average overall survival time was 3.39 ± 2.69 years. Two hundred fifty‐nine ferroptosis genes were downloaded from the FerrDb database and Pubmed database (123 marker genes, 109 suppressor genes, and 150 driver genes).\nFirst, we performed univariate regression analysis of every ferroptosis‐related gene and overall survival. Seventy genes were identified as survival‐associated ferroptosis‐related genes with p < 0.05. Figure 2A shows the HR level of each survival‐associated ferroptosis‐related genes.\nParameter selection. (A) Forest map of the univariate regression analysis. The horizontal axis represents the Hazard ratio (HR). The horizontal ordinate represents each gene with a p‐value < 0.05 in univariate regression analysis. (B) and (C) Tuning parameter selection using LASSO with k‐fold cross‐validation (k = 5)\nNext, LASSO Cox regression was implemented for these 70 genes. Correlation coefficients at lambda.min were chosen for the final model (Figure 2B, C, optimal lambda.min =0.078). After fivefold cross‐validation, 17 genes were included in the final model. The Coef level for each gene is shown in Table 1. RiskScore was also calculated for each patient (Table 2).\nSeventeen genes included in the model and its corresponding Coef\nRiskScore and clinical stage for each patient\nOS, overall survival in days. Events indicate survival status. 1 represents patient was dead. 0 represents patient was alive. The patients were classified into low‐risk group and high‐risk group according to the median value of the risk scores.\nFigure 3 showed that patients with poorer prognosis had lower riskScores. For patients who died during the follow‐up, the average riskScore was −25.51 (SD = 74.47), while patients who survived follow‐up had an average riskScore of 80.84 (SD = 101.83). It is clear that these groups were significantly different with regard to RiskScores (p = 1.21E‐07, Figure 3).\nRiskScores of patients with different survival statuses during follow‐up. 0 representing death and 1 representing survival\nThe median riskScore was 19.68 for all patients. Patients were grouped into high‐ and low‐risk groups based on their riskScores. The high‐risk group (riskScore >19.68) had 37 patients, and the low‐risk group (riskScore ≤19.68) had 39. KM curve showed that the high‐risk group had poorer prognoses (p < 0.0001, Figure 4A). Then, we determined the time‐dependent ROC curve to find the prognostic performance of riskScore for survival prediction. The AUC of the ROC curve for predicting 1‐, 3‐, and 5‐year(s) survival time was 0.975, 0.913, and 0.915 respectively (Figure 4B–D).\n(A) KM survival analysis of high‐ and low‐risk groups. Yellow curve represents high‐risk patient group; blue curve represents low‐risk patient group. (B–D). Time‐dependent ROC analysis for the prognostic model to predict 1‐ and 3‐, and 5‐ year(s) survival. Area under the curve (AUC) values are shown\nData from the GSE19750 cohort were used to perform external validation of the predictive value of the model. Consistent with the results in the TCGA cohort, patients in the high‐risk group had significantly poorer survival probability than the low‐risk group (p = 0.011, Figure 5A). The AUCs for 1‐year, 3‐year, and 5‐year OS were 0.765, 0.773, and 0.805, respectively (Figure 5B–D).\nExternal Validation. (A). Nomogram predicting survival probability. (B–D). Time‐dependent ROC analysis for the prognostic model to predict 1‐ and 3‐, and 5‐ year(s) survival using the GSE19750 cohort. Area under the curve (AUC) values are shown in the figure\nWe constructed the nomogram prognostic evaluation model to predict the 1‐, 3‐, or 5‐year OS time in patients by combining riskScores and pathological information (Figure 5A). The predictive accuracy of 1‐, 3‐, or 5‐year OS is shown in Figure 5B–D. The C‐index of the nomogram was 0.92 (se(C)=0.02). We also compared the prediction model with conventional staging systems. The C‐index for the TNM staging system was 0.75 (se(C)=0.05), which was lower than that of our model. Thus, our prognostic prediction model had better predictive ability.\nFigure 6 shows the GO (Figure 6A) and KEGG (Figure 6B) analyses of survival‐associated ferroptosis genes. KEGG analysis showed that the genes were mostly enriched in central carbon metabolism in cancer, cellular senescence, and the NOD‐like receptor signaling pathway.\nFunctional analysis. (A) GO analysis. X‐axis represents three types of GO. The node size is representative of gene count level, and the color represents – log 2 (p‐value). MF: molecular function. CC: cellular component. BP: biological process. (B) KEGG analysis. X‐axis represents gene count. Y‐axis represents pathway involved in the analysis. The color represents – log 10 (p‐value)", "Adrenocortical carcinoma is a highly malignant cancer with limited therapeutic options. Patients usually exhibit lymph node and distant metastases by the time of diagnosis. Surgery is the primary treatment strategy, while adjuvant therapies are frequently needed. Mitotane is currently the only agent approved.\n16\n For advanced ACC, a combination of mitotane with a cytotoxic regimen of etoposide, doxorubicin, and cisplatin (EDP‐M) is recommended. However, a narrow therapeutic window and endocrine side effects restrict the clinical use of these drugs.\n29\n, \n30\n Thus, there is an urgent need to identify drug targets and develop new therapeutic strategies to treat ACC.\nHigh‐throughput biotechnology such as genomics provides a good entry point for basic medicine to clinical medicine. Prognostic and predictive biomarkers selected from high‐throughput genomic data are of critical importance in cancer management.\n31\n The question of how to mine valuable information efficiently from vast biological sequences is crucial to researchers. Meanwhile, traditional variable‐selecting methods such as multivariate regression analysis are insufficient when facing big data. LASSO, a regularization method, is a promising solution. LASSO is particularly attractive in prognostic studies due to its capabilities of regression coefficients shrinkage and automatic variable selection.\n32\n LASSO has been successfully applied in prognostic model studies.\n33\n, \n34\n In this study, we focused on candidate ferroptosis genes related to prognosis of ACC for the first time. We constructed a prognosis model based on 17 survival‐associated ferroptosis‐related genes using the machine‐learning method. These efforts may contribute to the development of better treatment strategies in the future. We found that the predictive value of our model is better than that of the conventional staging system. Our study provided a handful of candidate targets for revealing the molecular basis of ACC, as well as novel targets for drug development.\nRecent studies have demonstrated that ACC is sensitive to ferroptosis, indicating that induction of ferroptosis could be a promising treatment approach. Therefore, we constructed a prognostic model including 17 survival‐associated ferroptosis‐related genes. Belavgeni's study showed direct inhibition of glutathione peroxidase 4, a key factor in the initiation of ferroptosis, in human ACC NCI‐H295R cells leading to high necrotic populations.\n35\n High STMN1 expression has been observed in aggressive ACC patients.\n36\n, \n37\n Ikeya's recent study shows that overexpression of AURKA, a gene identified in our study, can cause atypical mitosis in adrenocortical carcinoma with the p53 somatic variant.\n38\n The p53 protein, an important regulator of ferroptosis, is frequently mutated in ACC.\n39\n\nACSL4, which has been reported to dictate ferroptosis sensitivity by shaping cellular lipid composition,\n40\n is demonstrated to be highly expressed in mouse adrenal glands.\n41\n\n\nIn our study, ferroptosis gene riskScores showed good predictive value. Nomograms have been well developed as a prognostic assessment tool and proven to be more accurate than conventional staging systems in several cancers.\n42\n, \n43\n, \n44\n We constructed a nomogram by combining ferroptosis gene riskScores and clinic‐pathological factors. Our model showed better predictive value than the conventional staging system, a finding supported by C‐index (0.92) and calibration curve. In terms of precision medicine, our model has potential clinical applications.\nThere are some possible weaknesses in this study. We performed internal validation using k‐fold cross‐validation and bootstrap resampling methods. External and multicenter prospective cohorts with large sample sizes are still needed to validate the clinical application of our model, and basic research needs to be done to clarify the underlying mechanism.\nIn conclusion, our study identified candidate ferroptosis genes, which were related to clinical outcomes of ACC. We constructed a prognosis prediction model of ACC based on ferroptosis‐related genes. Our model showed better predictive value than the conventional staging system. These efforts provided a handful of underlying targets for revealing the molecular basis of ACC, as well as for drug development.", "The authors declare that they have no conflict of interest.", "Lin, Liang, and Hu contributed to the literature search and the design of the study. Lin and Liang analyzed and interpreted the data. Lin and Liang wrote the study Lin and Sun formatted the figures and tables. Sun revised the article Hu helped perform the analysis with constructive discussions. The final study was approved by all the authors." ]
[ null, "methods", null, null, null, null, "results", "discussion", "COI-statement", null ]
[ "adrenocortical carcinoma", "ferroptosis", "LASSO", "machine learning", "prognosis model" ]
INTRODUCTION: Programmed cell death has been shown to be a significant type of cell death. It acts as a natural barrier to prevent cells from developing into cancers. 1 , 2 Dysregulation of programmed cell death signaling pathways is emerging as a key factor in tumorigenesis. 3  The most thoroughly studied aspect of programmed cell death is apoptosis. 4 Research has revealed new mechanisms of programmed cell death, one of which is ferroptosis. The concept of ferroptosis was first proposed by Stockwell et al. 5 in 2012, and it is a non‐apoptotic programmed cell death process. Recent studies have focused on the role of ferroptosis in the progression, invasion, migration, and cell death of multiple types of cancers. 6 , 7 , 8 For most anti‐cancer drugs, activation of programmed cell death pathways to kill tumor cells is a vital anti‐tumor mechanism. Due to the acquired and intrinsic resistance of tumor cells to apoptosis, the therapeutic efficacy of inducing apoptosis in tumor is limited. 9  Therefore, the use of other forms of non‐apoptotic cell death to clear tumor cells and control the proliferation of drug‐resistant cell clones provides a new therapeutic possibility. The potential of targeting ferroptosis in cancer treatment has generated high expectations. 10 , 11 , 12 Adrenocortical carcinoma (ACC) is an isolated malignant tumor, which has attracted more and more attention since the end of the last century. 13 It is a rare and highly aggressive malignant disease and can occur at any age. Localized tumors can be cured by surgery. 14 Even if the tumor has been completely removed, however, recurrence is common. Unlike other tumors, treatment options after ACC recurrence are limited. 14 , 15 , 16  The prognosis remains poor. Most studies have shown that the median survival time of ACC patients is about 12 months. It has been thought that changes in the Wnt / β‐Catenin and IGF‐2 signaling pathways lead to ACC, but recent studies have shown that these changes are not sufficient to cause the occurrence of malignant adrenal tumors. 17 , 18  Therefore, the mechanism of the development and occurrence of ACC remains incompletely understood, and numerous genes and their functions remain to be discovered and explained. 17 , 19 ACC shares some genetic profiles that are associated with promising therapeutic responsiveness in other cancers. 20  With the development of precision medicine, we have the opportunity to identify genes that are related to clinical outcomes and novel molecular targets for new drugs. A genomics‐guided clinical care approach offers the potential for prolonging life expectancy and also improving the quality of life for ACC patients. In this study, we aimed to find candidates ferroptosis genes, which were related to clinical outcomes of ACC. We constructed a prognosis model of ACC based on ferroptosis‐related genes and then clarified the prognostic value of ferroptosis genes in ACC. These efforts may contribute to the development of better treatment strategies in the future. METHODS: Data acquisition We downloaded the RNA‐sequencing data and clinical data for 78 ACC patients from the TCGA data portal (https://tcga‐data.nci.nih.gov/tcga/dataAccessMatrix.htm). Regulator genes and marker genes for ferroptosis (ferroptosis‐related genes) were downloaded from the FerrDb database, 21 and articles were downloaded from the PubMed database. We downloaded the RNA‐sequencing data and clinical data for 78 ACC patients from the TCGA data portal (https://tcga‐data.nci.nih.gov/tcga/dataAccessMatrix.htm). Regulator genes and marker genes for ferroptosis (ferroptosis‐related genes) were downloaded from the FerrDb database, 21 and articles were downloaded from the PubMed database. Candidate gene screening and validation, prediction model establishment Two steps were involved in the candidate gene screening. First, we performed univariate regression analysis of every ferroptosis‐related gene and overall survival. Genes with p‐values < 0.05 were included in the next step. Univariate Cox regression was carried out using the “survival” R package. Then, machine‐learning least absolute shrinkage and selection operator (LASSO) 22 were used to select independent risk factors that affected outcomes. LASSO Cox regression was implemented using the “glmnet” R package. Correlation coefficients at lambda.min were chosen for the final model, and cross‐validation was used to tune and optimize the LASSO penalty terms. K‐fold cross‐validation (k = 5) was used to train and test the model. After candidate genes were selected at lambda.min, a prognostic model was then constructed using the formula below. RiskScore was then calculated for each patient. riskScore=∑candidate ferroptosis‐related genes level∗coresponding Coef level Two steps were involved in the candidate gene screening. First, we performed univariate regression analysis of every ferroptosis‐related gene and overall survival. Genes with p‐values < 0.05 were included in the next step. Univariate Cox regression was carried out using the “survival” R package. Then, machine‐learning least absolute shrinkage and selection operator (LASSO) 22 were used to select independent risk factors that affected outcomes. LASSO Cox regression was implemented using the “glmnet” R package. Correlation coefficients at lambda.min were chosen for the final model, and cross‐validation was used to tune and optimize the LASSO penalty terms. K‐fold cross‐validation (k = 5) was used to train and test the model. After candidate genes were selected at lambda.min, a prognostic model was then constructed using the formula below. RiskScore was then calculated for each patient. riskScore=∑candidate ferroptosis‐related genes level∗coresponding Coef level Assessing the effectiveness of prediction models We grouped the patients into high‐ and low‐risk groups based on the median riskScore. The KM curve for these data was used to compare the prognosis between high‐risk and low‐risk groups according to the riskScore. Receiver operating characteristic (ROC) curves and areas under the curve (AUCs) were calculated with the “survivalROC” 23 and “survminer” R packages to demonstrate the predictive ability of riskScore for 1‐, 3‐, and 5‐year OS. A flow diagram of this trial is shown in Figure 1. Flowchart of the experiment External validation was done using the GSE19750 cohort. Data were downloaded from the GEO database. The riskScore was calculated using the formula mentioned above. The clinical data were also downloaded. We determined the ROC curve and the Kaplan–Meier curve to test the predictive value of the prognostic model. We generated nomogram by combining the riskScore value and clinic‐pathological factors to predict survival probability at 1, 3, and 5 years. This is a quantitative and intuitive method to assess the association between variables and survival. We then measured the prognostic accuracy by calculating the Harrell's concordance index (C‐index). The larger the C‐index, the more accurate the prognostic prediction proved to be. 24  We compared the prediction model with conventional staging systems using the C‐index. We assessed calibration by comparing observed and predicted survival probabilities using the KM method and applied bootstraps with 100 replicates Nomogram was undertaken using the “rms” R package. We grouped the patients into high‐ and low‐risk groups based on the median riskScore. The KM curve for these data was used to compare the prognosis between high‐risk and low‐risk groups according to the riskScore. Receiver operating characteristic (ROC) curves and areas under the curve (AUCs) were calculated with the “survivalROC” 23 and “survminer” R packages to demonstrate the predictive ability of riskScore for 1‐, 3‐, and 5‐year OS. A flow diagram of this trial is shown in Figure 1. Flowchart of the experiment External validation was done using the GSE19750 cohort. Data were downloaded from the GEO database. The riskScore was calculated using the formula mentioned above. The clinical data were also downloaded. We determined the ROC curve and the Kaplan–Meier curve to test the predictive value of the prognostic model. We generated nomogram by combining the riskScore value and clinic‐pathological factors to predict survival probability at 1, 3, and 5 years. This is a quantitative and intuitive method to assess the association between variables and survival. We then measured the prognostic accuracy by calculating the Harrell's concordance index (C‐index). The larger the C‐index, the more accurate the prognostic prediction proved to be. 24  We compared the prediction model with conventional staging systems using the C‐index. We assessed calibration by comparing observed and predicted survival probabilities using the KM method and applied bootstraps with 100 replicates Nomogram was undertaken using the “rms” R package. Functional analysis We used Gene Ontology analysis (GO) to identify characteristic biological attributes of survival‐associated ferroptosis genes and performed Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analysis to identify functional attributes. GO and KEGG analysis was done using the following R packages: “DOSE” “org. Hs.eg.db”, 25 “clusterProfiler” 26 and “pathview”. 27 For visualization of the data, the “ggplot2” 28 package was used. We used Gene Ontology analysis (GO) to identify characteristic biological attributes of survival‐associated ferroptosis genes and performed Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analysis to identify functional attributes. GO and KEGG analysis was done using the following R packages: “DOSE” “org. Hs.eg.db”, 25 “clusterProfiler” 26 and “pathview”. 27 For visualization of the data, the “ggplot2” 28 package was used. Data acquisition: We downloaded the RNA‐sequencing data and clinical data for 78 ACC patients from the TCGA data portal (https://tcga‐data.nci.nih.gov/tcga/dataAccessMatrix.htm). Regulator genes and marker genes for ferroptosis (ferroptosis‐related genes) were downloaded from the FerrDb database, 21 and articles were downloaded from the PubMed database. Candidate gene screening and validation, prediction model establishment: Two steps were involved in the candidate gene screening. First, we performed univariate regression analysis of every ferroptosis‐related gene and overall survival. Genes with p‐values < 0.05 were included in the next step. Univariate Cox regression was carried out using the “survival” R package. Then, machine‐learning least absolute shrinkage and selection operator (LASSO) 22 were used to select independent risk factors that affected outcomes. LASSO Cox regression was implemented using the “glmnet” R package. Correlation coefficients at lambda.min were chosen for the final model, and cross‐validation was used to tune and optimize the LASSO penalty terms. K‐fold cross‐validation (k = 5) was used to train and test the model. After candidate genes were selected at lambda.min, a prognostic model was then constructed using the formula below. RiskScore was then calculated for each patient. riskScore=∑candidate ferroptosis‐related genes level∗coresponding Coef level Assessing the effectiveness of prediction models: We grouped the patients into high‐ and low‐risk groups based on the median riskScore. The KM curve for these data was used to compare the prognosis between high‐risk and low‐risk groups according to the riskScore. Receiver operating characteristic (ROC) curves and areas under the curve (AUCs) were calculated with the “survivalROC” 23 and “survminer” R packages to demonstrate the predictive ability of riskScore for 1‐, 3‐, and 5‐year OS. A flow diagram of this trial is shown in Figure 1. Flowchart of the experiment External validation was done using the GSE19750 cohort. Data were downloaded from the GEO database. The riskScore was calculated using the formula mentioned above. The clinical data were also downloaded. We determined the ROC curve and the Kaplan–Meier curve to test the predictive value of the prognostic model. We generated nomogram by combining the riskScore value and clinic‐pathological factors to predict survival probability at 1, 3, and 5 years. This is a quantitative and intuitive method to assess the association between variables and survival. We then measured the prognostic accuracy by calculating the Harrell's concordance index (C‐index). The larger the C‐index, the more accurate the prognostic prediction proved to be. 24  We compared the prediction model with conventional staging systems using the C‐index. We assessed calibration by comparing observed and predicted survival probabilities using the KM method and applied bootstraps with 100 replicates Nomogram was undertaken using the “rms” R package. Functional analysis: We used Gene Ontology analysis (GO) to identify characteristic biological attributes of survival‐associated ferroptosis genes and performed Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analysis to identify functional attributes. GO and KEGG analysis was done using the following R packages: “DOSE” “org. Hs.eg.db”, 25 “clusterProfiler” 26 and “pathview”. 27 For visualization of the data, the “ggplot2” 28 package was used. RESULTS: The RNA‐sequencing data and clinical data of 78 ACC patients were downloaded from TCGA database. Two patients were excluded from the analysis due to missing clinical information. Of those who were qualified for inclusion, 48 were female and 28 were male. The average overall survival time was 3.39 ± 2.69 years. Two hundred fifty‐nine ferroptosis genes were downloaded from the FerrDb database and Pubmed database (123 marker genes, 109 suppressor genes, and 150 driver genes). First, we performed univariate regression analysis of every ferroptosis‐related gene and overall survival. Seventy genes were identified as survival‐associated ferroptosis‐related genes with p < 0.05. Figure 2A shows the HR level of each survival‐associated ferroptosis‐related genes. Parameter selection. (A) Forest map of the univariate regression analysis. The horizontal axis represents the Hazard ratio (HR). The horizontal ordinate represents each gene with a p‐value < 0.05 in univariate regression analysis. (B) and (C) Tuning parameter selection using LASSO with k‐fold cross‐validation (k = 5) Next, LASSO Cox regression was implemented for these 70 genes. Correlation coefficients at lambda.min were chosen for the final model (Figure 2B, C, optimal lambda.min =0.078). After fivefold cross‐validation, 17 genes were included in the final model. The Coef level for each gene is shown in Table 1. RiskScore was also calculated for each patient (Table 2). Seventeen genes included in the model and its corresponding Coef RiskScore and clinical stage for each patient OS, overall survival in days. Events indicate survival status. 1 represents patient was dead. 0 represents patient was alive. The patients were classified into low‐risk group and high‐risk group according to the median value of the risk scores. Figure 3 showed that patients with poorer prognosis had lower riskScores. For patients who died during the follow‐up, the average riskScore was −25.51 (SD = 74.47), while patients who survived follow‐up had an average riskScore of 80.84 (SD = 101.83). It is clear that these groups were significantly different with regard to RiskScores (p = 1.21E‐07, Figure 3). RiskScores of patients with different survival statuses during follow‐up. 0 representing death and 1 representing survival The median riskScore was 19.68 for all patients. Patients were grouped into high‐ and low‐risk groups based on their riskScores. The high‐risk group (riskScore >19.68) had 37 patients, and the low‐risk group (riskScore ≤19.68) had 39. KM curve showed that the high‐risk group had poorer prognoses (p < 0.0001, Figure 4A). Then, we determined the time‐dependent ROC curve to find the prognostic performance of riskScore for survival prediction. The AUC of the ROC curve for predicting 1‐, 3‐, and 5‐year(s) survival time was 0.975, 0.913, and 0.915 respectively (Figure 4B–D). (A) KM survival analysis of high‐ and low‐risk groups. Yellow curve represents high‐risk patient group; blue curve represents low‐risk patient group. (B–D). Time‐dependent ROC analysis for the prognostic model to predict 1‐ and 3‐, and 5‐ year(s) survival. Area under the curve (AUC) values are shown Data from the GSE19750 cohort were used to perform external validation of the predictive value of the model. Consistent with the results in the TCGA cohort, patients in the high‐risk group had significantly poorer survival probability than the low‐risk group (p = 0.011, Figure 5A). The AUCs for 1‐year, 3‐year, and 5‐year OS were 0.765, 0.773, and 0.805, respectively (Figure 5B–D). External Validation. (A). Nomogram predicting survival probability. (B–D). Time‐dependent ROC analysis for the prognostic model to predict 1‐ and 3‐, and 5‐ year(s) survival using the GSE19750 cohort. Area under the curve (AUC) values are shown in the figure We constructed the nomogram prognostic evaluation model to predict the 1‐, 3‐, or 5‐year OS time in patients by combining riskScores and pathological information (Figure 5A). The predictive accuracy of 1‐, 3‐, or 5‐year OS is shown in Figure 5B–D. The C‐index of the nomogram was 0.92 (se(C)=0.02). We also compared the prediction model with conventional staging systems. The C‐index for the TNM staging system was 0.75 (se(C)=0.05), which was lower than that of our model. Thus, our prognostic prediction model had better predictive ability. Figure 6 shows the GO (Figure 6A) and KEGG (Figure 6B) analyses of survival‐associated ferroptosis genes. KEGG analysis showed that the genes were mostly enriched in central carbon metabolism in cancer, cellular senescence, and the NOD‐like receptor signaling pathway. Functional analysis. (A) GO analysis. X‐axis represents three types of GO. The node size is representative of gene count level, and the color represents – log 2 (p‐value). MF: molecular function. CC: cellular component. BP: biological process. (B) KEGG analysis. X‐axis represents gene count. Y‐axis represents pathway involved in the analysis. The color represents – log 10 (p‐value) DISCUSSION: Adrenocortical carcinoma is a highly malignant cancer with limited therapeutic options. Patients usually exhibit lymph node and distant metastases by the time of diagnosis. Surgery is the primary treatment strategy, while adjuvant therapies are frequently needed. Mitotane is currently the only agent approved. 16 For advanced ACC, a combination of mitotane with a cytotoxic regimen of etoposide, doxorubicin, and cisplatin (EDP‐M) is recommended. However, a narrow therapeutic window and endocrine side effects restrict the clinical use of these drugs. 29 , 30  Thus, there is an urgent need to identify drug targets and develop new therapeutic strategies to treat ACC. High‐throughput biotechnology such as genomics provides a good entry point for basic medicine to clinical medicine. Prognostic and predictive biomarkers selected from high‐throughput genomic data are of critical importance in cancer management. 31  The question of how to mine valuable information efficiently from vast biological sequences is crucial to researchers. Meanwhile, traditional variable‐selecting methods such as multivariate regression analysis are insufficient when facing big data. LASSO, a regularization method, is a promising solution. LASSO is particularly attractive in prognostic studies due to its capabilities of regression coefficients shrinkage and automatic variable selection. 32 LASSO has been successfully applied in prognostic model studies. 33 , 34 In this study, we focused on candidate ferroptosis genes related to prognosis of ACC for the first time. We constructed a prognosis model based on 17 survival‐associated ferroptosis‐related genes using the machine‐learning method. These efforts may contribute to the development of better treatment strategies in the future. We found that the predictive value of our model is better than that of the conventional staging system. Our study provided a handful of candidate targets for revealing the molecular basis of ACC, as well as novel targets for drug development. Recent studies have demonstrated that ACC is sensitive to ferroptosis, indicating that induction of ferroptosis could be a promising treatment approach. Therefore, we constructed a prognostic model including 17 survival‐associated ferroptosis‐related genes. Belavgeni's study showed direct inhibition of glutathione peroxidase 4, a key factor in the initiation of ferroptosis, in human ACC NCI‐H295R cells leading to high necrotic populations. 35 High STMN1 expression has been observed in aggressive ACC patients. 36 , 37 Ikeya's recent study shows that overexpression of AURKA, a gene identified in our study, can cause atypical mitosis in adrenocortical carcinoma with the p53 somatic variant. 38  The p53 protein, an important regulator of ferroptosis, is frequently mutated in ACC. 39 ACSL4, which has been reported to dictate ferroptosis sensitivity by shaping cellular lipid composition, 40 is demonstrated to be highly expressed in mouse adrenal glands. 41 In our study, ferroptosis gene riskScores showed good predictive value. Nomograms have been well developed as a prognostic assessment tool and proven to be more accurate than conventional staging systems in several cancers. 42 , 43 , 44  We constructed a nomogram by combining ferroptosis gene riskScores and clinic‐pathological factors. Our model showed better predictive value than the conventional staging system, a finding supported by C‐index (0.92) and calibration curve. In terms of precision medicine, our model has potential clinical applications. There are some possible weaknesses in this study. We performed internal validation using k‐fold cross‐validation and bootstrap resampling methods. External and multicenter prospective cohorts with large sample sizes are still needed to validate the clinical application of our model, and basic research needs to be done to clarify the underlying mechanism. In conclusion, our study identified candidate ferroptosis genes, which were related to clinical outcomes of ACC. We constructed a prognosis prediction model of ACC based on ferroptosis‐related genes. Our model showed better predictive value than the conventional staging system. These efforts provided a handful of underlying targets for revealing the molecular basis of ACC, as well as for drug development. CONFLICT OF INTEREST: The authors declare that they have no conflict of interest. AUTHOR CONTRIBUTIONS: Lin, Liang, and Hu contributed to the literature search and the design of the study. Lin and Liang analyzed and interpreted the data. Lin and Liang wrote the study Lin and Sun formatted the figures and tables. Sun revised the article Hu helped perform the analysis with constructive discussions. The final study was approved by all the authors.
Background: This study aimed to find ferroptosis-related genes linked to clinical outcomes of adrenocortical carcinoma (ACC) and assess the prognostic value of the model. Methods: We downloaded the mRNA sequencing data and patient clinical data of 78 ACC patients from the TCGA data portal. Candidate ferroptosis-related genes were screened by univariate regression analysis, machine-learning least absolute shrinkage, and selection operator (LASSO). A ferroptosis-related gene-based prognostic model was constructed. The effectiveness of the prediction model was accessed by KM and ROC analysis. External validation was done using the GSE19750 cohort. A nomogram was generated. The prognostic accuracy was measured and compared with conventional staging systems (TNM stage). Functional analysis was conducted to identify biological characterization of survival-associated ferroptosis-related genes. Results: Seventy genes were identified as survival-associated ferroptosis-related genes. The prognostic model was constructed with 17 ferroptosis-related genes including STMN1, RRM2, HELLS, FANCD2, AURKA, GABARAPL2, SLC7A11, KRAS, ACSL4, MAPK3, HMGB1, CXCL2, ATG7, DDIT4, NOX1, PLIN4, and STEAP3. A RiskScore was calculated for each patient. KM curve indicated good prognostic performance. The AUC of the ROC curve for predicting 1-, 3-, and 5- year(s) survival time was 0.975, 0.913, and 0.915 respectively. The nomogram prognostic evaluation model showed better predictive ability than conventional staging systems. Conclusions: We constructed a prognosis model of ACC based on ferroptosis-related genes with better predictive value than the conventional staging system. These efforts provided candidate targets for revealing the molecular basis of ACC, as well as novel targets for drug development.
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4,320
329
[ 581, 53, 173, 289, 91, 65 ]
10
[ "genes", "ferroptosis", "survival", "model", "data", "riskscore", "analysis", "acc", "risk", "prognostic" ]
[ "potential targeting ferroptosis", "death ferroptosis concept", "ferroptosis cancer treatment", "cell death ferroptosis", "targeting ferroptosis cancer" ]
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[CONTENT] adrenocortical carcinoma | ferroptosis | LASSO | machine learning | prognosis model [SUMMARY]
[CONTENT] adrenocortical carcinoma | ferroptosis | LASSO | machine learning | prognosis model [SUMMARY]
[CONTENT] adrenocortical carcinoma | ferroptosis | LASSO | machine learning | prognosis model [SUMMARY]
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[CONTENT] adrenocortical carcinoma | ferroptosis | LASSO | machine learning | prognosis model [SUMMARY]
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[CONTENT] Adrenal Cortex Neoplasms | Adrenocortical Carcinoma | Ferroptosis | Gene Expression Regulation, Neoplastic | Humans | Prognosis [SUMMARY]
[CONTENT] Adrenal Cortex Neoplasms | Adrenocortical Carcinoma | Ferroptosis | Gene Expression Regulation, Neoplastic | Humans | Prognosis [SUMMARY]
[CONTENT] Adrenal Cortex Neoplasms | Adrenocortical Carcinoma | Ferroptosis | Gene Expression Regulation, Neoplastic | Humans | Prognosis [SUMMARY]
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[CONTENT] Adrenal Cortex Neoplasms | Adrenocortical Carcinoma | Ferroptosis | Gene Expression Regulation, Neoplastic | Humans | Prognosis [SUMMARY]
null
[CONTENT] potential targeting ferroptosis | death ferroptosis concept | ferroptosis cancer treatment | cell death ferroptosis | targeting ferroptosis cancer [SUMMARY]
[CONTENT] potential targeting ferroptosis | death ferroptosis concept | ferroptosis cancer treatment | cell death ferroptosis | targeting ferroptosis cancer [SUMMARY]
[CONTENT] potential targeting ferroptosis | death ferroptosis concept | ferroptosis cancer treatment | cell death ferroptosis | targeting ferroptosis cancer [SUMMARY]
null
[CONTENT] potential targeting ferroptosis | death ferroptosis concept | ferroptosis cancer treatment | cell death ferroptosis | targeting ferroptosis cancer [SUMMARY]
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[CONTENT] genes | ferroptosis | survival | model | data | riskscore | analysis | acc | risk | prognostic [SUMMARY]
[CONTENT] genes | ferroptosis | survival | model | data | riskscore | analysis | acc | risk | prognostic [SUMMARY]
[CONTENT] genes | ferroptosis | survival | model | data | riskscore | analysis | acc | risk | prognostic [SUMMARY]
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[CONTENT] genes | ferroptosis | survival | model | data | riskscore | analysis | acc | risk | prognostic [SUMMARY]
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[CONTENT] cell | cell death | death | tumor | programmed | programmed cell death | programmed cell | acc | ferroptosis | cells [SUMMARY]
[CONTENT] riskscore | data | genes | downloaded | model | survival | package | risk | index | curve [SUMMARY]
[CONTENT] represents | figure | group | risk | survival | risk group | patients | analysis | year | genes [SUMMARY]
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[CONTENT] genes | ferroptosis | data | riskscore | model | survival | analysis | downloaded | acc | risk [SUMMARY]
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[CONTENT] ACC [SUMMARY]
[CONTENT] 78 | ACC | TCGA ||| LASSO ||| ||| KM | ROC ||| ||| ||| TNM ||| [SUMMARY]
[CONTENT] ||| 17 | STMN1 | RRM2 | HELLS | FANCD2 | AURKA | GABARAPL2 | KRAS | ACSL4 | MAPK3 | HMGB1 | CXCL2 | DDIT4 | PLIN4 | STEAP3 ||| RiskScore ||| KM ||| ROC | 0.975 | 0.913 | 0.915 ||| [SUMMARY]
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[CONTENT] ||| ACC ||| 78 | ACC | TCGA ||| LASSO ||| ||| KM | ROC ||| ||| ||| TNM ||| ||| ||| ||| 17 | STMN1 | RRM2 | HELLS | FANCD2 | AURKA | GABARAPL2 | KRAS | ACSL4 | MAPK3 | HMGB1 | CXCL2 | DDIT4 | PLIN4 | STEAP3 ||| RiskScore ||| KM ||| ROC | 0.975 | 0.913 | 0.915 ||| ||| ACC ||| ACC [SUMMARY]
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Antibiotic-modifying activity of riachin, a non-cyanogenic cyanoglycoside extracted from Bauhinia pentandra.
26109849
The search for new active compounds from the Brazilian flora has intensified in recent years, especially for new drugs with antibiotic potential. Accordingly, the aim of this study was to determine whether riachin has antibiotic activity in itself or is able to modulate the activity of conventional antibiotics.
BACKGROUND
A non-cyanogenic cyanoglycoside known as riachin was isolated from Bauhinia pentandra, and was tested alone and in combination with three antibiotics (clindamycin, amikacin, and gentamicin) against multiresistant bacterial strains (Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus).
METHODS
Riachin did not show significant antibiotic activity when tested alone against any strain (P>0.05). However, when combined with conventional antibiotics, it showed drug-modifying activity against strains of S. aureus exposed to clindamycin (P<0.001) as well as against P. aeruginosa exposed to amikacin (P<0.001). Although riachin did not show direct antibiotic activity, it had synergistic activity when combined with amikacin or clindamycin. The mechanism of action of this synergism is under investigation.
RESULTS
The results of this work demonstrate that some substances of natural origin can enhance the effectiveness of certain antibiotics, which means a substantial reduction in the drug dose required and possibly in consequent adverse events for patients.
CONCLUSION
[ "Acrylonitrile", "Anti-Bacterial Agents", "Bauhinia", "Drug Resistance, Multiple, Bacterial", "Drug Synergism", "Escherichia coli", "Glucosides", "Microbial Sensitivity Tests", "Plant Extracts", "Pseudomonas aeruginosa", "Staphylococcus aureus" ]
4474397
Introduction
Infectious diseases of bacterial origin are a recurrent problem in public health, and have a substantial impact on morbidity and mortality in populations in general. Therefore, in recent years, the pharmaceutical industry has been prompted to develop new antibiotic drugs, in particular because of the emergence of microorganisms resistant to conventional drugs.1 This occurs because bacteria have the genetic capacity to acquire and transmit resistance to the antibacterial agents currently available. There are various reports on bacterial isolates that are known for being sensitive to routinely used drugs, but have now become resistant to other medications available on the market.2,3 Consequently, pharmaceutical companies are searching for new strategies to supply the market with new antibiotics. The most common strategies involve altering the molecular structures of existing drugs, with the aim of making them more effective or able to recover their lost activity due to the presence of bacterial resistance mechanisms.4 Accordingly, natural products such as those of plant origin have been identified as not only having antibacterial activity but also as being able to potentiate antibiotic activity.5,6 The Brazilian flora is very diverse, and still has a large variety of species not yet studied; each year, new substances are identified in nature, and many of these may have the potential to be developed as new drugs. Plants of Northeast Brazil under investigation include species of Bauhinia, among which Bauhinia forficata has been utilized by the people for many years, principally because of its hypoglycemic activity, a property reported back in the 1990s by various authors.7–9 Another species that has shown scientific relevance is Bauhinia pentandra, which has demonstrated antiulcer activity,10 and has an inhibitory effect on factor XIIa in the coagulation cascade.11,12 B. pentandra (Bong.) Vog. Ex Steud (Fabaceae) is known in Northeast Brazil as “mororo-de-espinho”, and can be found in the Caatinga region and in caatinga-cerrado transition forests. The stem bark is widely used as a depurative tonic and in the treatment of diabetes.13 Among the substances identified in the species of Bauhinia, are beta-sitosterol and kaempferol-3,7-dirhamnoside (kaempferitrin).14 Investigation of the root bark of B. pentandra (Fabaceae) led to isolation and characterization of a new cyanoglycoside called riachin. This drug has demonstrated antioxidant potential in 1,1-Diphenyl-2-picryl-hydrazyl (DPPH) and 2,2′-azino-bis-3-ethylbenzthiazoline-6-sulphonic acid (ABTS) tests, in addition to metal-chelating activity, including for ferrous (Fe2+) ions.15 The cyanoglycosides are widely known for their toxicity, but some have pharmacological activity, for example, an antiallergic action,16 without toxic effects. However, the majority of cyanoglycosides in nature are cyanogenic, meaning they contain an alphanitrile group adjacent to a glycosidic bond, such that hydrolysis of these glycosides by glycosidases, followed by oxidation of the resultant cyanohydrin, releases the corresponding aldehyde or ketone and hydrocyanic acid. Plants contain cyanogenic compounds are deemed not fit for animal or human consumption in their natural state, and can only be ingested if the cyanide has been eliminated by milling or heating. Although riachin is a cyanoglycoside, the position of the cyano group is not next to the glycosidic bond of the molecule, so its hydrolysis does not result in the release of cyanide, which decreases its toxicity. Accordingly, riachin is found in a limited group of non-cyanogenic cyanoglycosides, such as simmondsin17 and laphoriside isolated from Lophira alata, a common plant in Africa,18 as well as the more recently isolated class of cyanoglycosides called ehretiosides, which have been demonstrated to have antagonistic activity against histamine.19 The basic structure of this class was defined20 and later characterized as a non-cyanogenic cyanoglycoside, but under specific conditions, it can release a small quantity of cyanide.21 Non-cyanogenic cyanoglycosides belong to a group of substances that are still little studied, but they appear to show different activities in various systems, including the immune and nervous systems, and have antibiotic activity. The objective of this study was to investigate, using an in vitro model, the antibiotic and antibiotic-modifying activity of riachin, a cyanoglycoside extracted from B. pentandra (Bong.) Vog. Ex Steudas, and assess its potential as a therapeutic alternative for the treatment of bacterial infections, alone or in combination with other antibiotics, to reduce the utilization of drugs with more frequent adverse reactions.
Statistical analysis
Statistical analysis of the data was done using the GraphPad Prism® version 4.0 for Windows® software (GraphPad Software, San Diego, CA, USA). Data showing a parametric distribution were evaluated by analysis of variance. All data are shown as the mean ± standard error of the mean, and the critical level considered to reject the null hypothesis was 0.05 (P<0.05).
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Conclusion
The use of antibiotics is routine and necessary in clinical practice, but development of resistance makes it difficult to achieve the desired results in many patients, even in patients with low risk of severe adverse reactions for some drug classes, particularly the aminoglycosides. Accordingly, the activity of amikacin against P. aeruginosa and the activity of clindamycin against S. aureus could be potentiated if these antibiotics were combined with riachin. Due to the high polarity of riachin, this substance is likely to interact with efflux pumps in bacteria; tests are being developed to investigate this possibility using specific bacterial strains with defined and super-expression of efflux pumps. Further studies should be conducted, in particular studies of new combinations containing this natural drug and other bacterial strains. This compound may have a role as an adjuvant in some pharmaceutical formulations used to treat infection.
[ "Bacteria", "Drugs", "Determination of MIC and modulation of antibiotic activity", "Results and discussion", "Conclusion" ]
[ "The bacterial strains utilized were Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus with the resistance profiles identified in Table 3. All strains were maintained on heart infusion agar (Difco Laboratories Ltd, West Molesey, UK). Before the assays, the strains were grown for 18 hours at 37°C in brain heart infusion broth (Difco Laboratories Ltd). All bacteria used in this work were previously reported as having the existence of efflux pumps sensitive to phenothiazines.24,25", "Gentamicin, amikacin, and clindamycin were obtained from Sigma Chemical Co (St Louis, MO, USA). The solutions were prepared according to the recommendations of the National Committee for Clinical Laboratory Standards.26 First, 1.2 kg of B. pentandra (Bong.) Vog. exSteud. (Fabaceae) powdered root bark were extracted with ethanol in a Soxhlet apparatus at the Molecular Sciences Laboratory, Universidade Federal Rural de Pernambuco. The extract was concentrated under vacuum in a rotary evaporator. After being allowed to stand in the refrigerator, the crude residue had the appearance of a light brown precipitate (2.46%) and was identified by spectrophotometric methods as the cyanoglycoside riachin (Figure 1).15", "The minimal inhibitory concentration (MIC) was determined by the broth microdilution assay using an inoculum of 100 μL for each strain suspended in brain heart infusion broth with a concentration of 105 colony-forming units/mL in 96-well microtiter plates, with two-fold serial dilutions. Next, 100 μL of riachin were added to each well, where the final concentrations were in the range of 8–512 μg/mL. For the controls, the standard antibiotics (amikacin, gentami-cin, and clindamycin) were used at final concentrations of 8–512 μg/mL. The plates were incubated at 35°C for 24 hours, after which growth was assessed using the resazurin assay. MIC was determined as the lowest concentration that inhibited bacterial growth.\nTo evaluate the ability of riachin to modify the action of the antibiotics, the MICs of gentamicin and amikacin (aminoglycosides) and clindamycin (lincosamide) were determined in the presence and absence of riachin in sterile microplates. The antibiotics were evaluated at concentrations of 2.88–2,500 μg/mL. All antibiotics tested were obtained from Sigma-Aldrich.\nRiachin was dissolved in 10% brain heart infusion broth at a subinhibitory concentration, which was determined by evaluation of its MIC, where the compound was diluted to an eight-fold reduced MIC (MIC/8). Antibiotic solutions were prepared by addition of sterile distilled water at double the concentration (5,000 μg/mL) in relation to the initial concentration defined and volumes of 100 μL diluted serially 1:1 in 10% brain heart infusion broth. Next, 100 μL of culture containing a bacterial suspension diluted 1:10 were added to each well. The same controls utilized in the evaluation of MIC for the sample were utilized for modulation.24 The plates were incubated at 35°C for 24 hours, after which growth was measured by the resazurin assay. The antibacterial assay was performed in triplicate and the results were expressed as the mean of replicates.", "The MIC of the test compound against the standard bacterial strains (E. coli ATCC 25922, S. aureus ATCC 25923, and P. aeruginosa ATCC 25853) showed the same result, ie, an MIC ≥1,024 μg/mL, with the exception of the sample against E. coli 25922, which had an MIC of 128 μg/mL. No clinically relevant activity was demonstrated, according to the limits established by the protocol.24 A pilot assay utilizing only dimethyl sulfoxide was performed, in which no antibiotic activity or antibiotic-modifying activity was observed, indicating that it had no influence at the concentration utilized (1.0%).27\nFigure 2 shows the MICs for the aminoglycosides and for clindamycin in the presence and absence of riachin (C14H19NO8) at an MIC/8 concentration of 128 μg/mL. Thus, a significant synergistic effect (P<0.001) was seen against P. aeruginosa when amikacin was combined with the test compound and against S. aureus with the combination of riachin and clindamycin. The other results were not statistically significant (P>0/05).\nOther studies using natural products or active substances from plants with antibiotic activity have obtained satisfactory results.28,29 These results are in agreement with other reports in the literature showing that combinations of natural products and antibiotics can reduce antibiotic resistance.25\nFew studies of B. pentandra have been published, and none have investigated the activity of the plant or its components against microorganisms. Other species of Bauhinia have shown some antibiotic activity,30 the most closely related being Bauhinia tomentosa, B. vahlii,31\nB. kockiana,32 and B. purpurea L.33 However, the literature is still scarce with regard to the activity of plants of this genus against microorganisms. Since riachin can be isolated from the root bark of B. pentandra in good quantity (2.46%),15 it can be readily obtained for studies of its antibiotic activity.\nSince the 1960s when the aminoglycosides were first introduced to the market, a number of infections caused by Gram-negative bacteria have been able to be treated more effectively, but at the expense of side effects, in particular nephrotoxicity34,35 and ototoxicity.36–38 The main adverse effects of clindamycin are gastrointestinal disturbance, which can manifest in the form of pseudomembranous colitis,39 and severe diarrhea. These side effects are relevant factors to be considered when treating patient with these agents. Thus, combination of riachin with amikacin or clindamycin could be an alternative to minimize the side effects of these antibiotics, since their combination leads to a synergistic effect and significant reduction in MIC, meaning that the dose needed for therapeutic success can be lowered.\nThe principal drug resistance mechanisms of bacteria involve modifications in the target bond in the ribosome, the efflux pump, or enzymatic inactivation of the drug.40 Clindamycin is often used in skin infections, particularly when there is resistance to penicillins.41\nThe possible difference in activity of riachin against the P. aeruginosa strain when combined with amikacin and gentamicin is probably due to the structural differences in these aminoglycosides; both are hydrophilic molecules formed by an aminocyclitol ring connected to one or more amino sugars through a glycosidic bond. In most of the drugs with these characteristics and which are clinically useful – the aminocyclitol group is 2-deoxy-streptamine, which can be bisubstituted at position 4 and 5, or 4 and 6,42 so being able to influence the the polarity, solubility, and consequently, the absorption of these drugs.\nOur results are consistent with those found in the literature,43 and demonstrate that E. coli strains are more resistant to the action of natural products, such as extracts and essential oils.43 This could be due to the presence of other resistance mechanisms, including the efflux pump, production of enzymes that cleave the β-lactam ring (β-lactamases), and changes in penicillin-binding proteins.44,45", "The use of antibiotics is routine and necessary in clinical practice, but development of resistance makes it difficult to achieve the desired results in many patients, even in patients with low risk of severe adverse reactions for some drug classes, particularly the aminoglycosides. Accordingly, the activity of amikacin against P. aeruginosa and the activity of clindamycin against S. aureus could be potentiated if these antibiotics were combined with riachin. Due to the high polarity of riachin, this substance is likely to interact with efflux pumps in bacteria; tests are being developed to investigate this possibility using specific bacterial strains with defined and super-expression of efflux pumps. Further studies should be conducted, in particular studies of new combinations containing this natural drug and other bacterial strains. This compound may have a role as an adjuvant in some pharmaceutical formulations used to treat infection." ]
[ null, null, null, null, null ]
[ "Introduction", "Materials and methods", "Bacteria", "Drugs", "Determination of MIC and modulation of antibiotic activity", "Statistical analysis", "Results and discussion", "Conclusion" ]
[ "Infectious diseases of bacterial origin are a recurrent problem in public health, and have a substantial impact on morbidity and mortality in populations in general. Therefore, in recent years, the pharmaceutical industry has been prompted to develop new antibiotic drugs, in particular because of the emergence of microorganisms resistant to conventional drugs.1 This occurs because bacteria have the genetic capacity to acquire and transmit resistance to the antibacterial agents currently available. There are various reports on bacterial isolates that are known for being sensitive to routinely used drugs, but have now become resistant to other medications available on the market.2,3 Consequently, pharmaceutical companies are searching for new strategies to supply the market with new antibiotics. The most common strategies involve altering the molecular structures of existing drugs, with the aim of making them more effective or able to recover their lost activity due to the presence of bacterial resistance mechanisms.4 Accordingly, natural products such as those of plant origin have been identified as not only having antibacterial activity but also as being able to potentiate antibiotic activity.5,6\nThe Brazilian flora is very diverse, and still has a large variety of species not yet studied; each year, new substances are identified in nature, and many of these may have the potential to be developed as new drugs. Plants of Northeast Brazil under investigation include species of Bauhinia, among which Bauhinia forficata has been utilized by the people for many years, principally because of its hypoglycemic activity, a property reported back in the 1990s by various authors.7–9 Another species that has shown scientific relevance is Bauhinia pentandra, which has demonstrated antiulcer activity,10 and has an inhibitory effect on factor XIIa in the coagulation cascade.11,12\nB. pentandra (Bong.) Vog. Ex Steud (Fabaceae) is known in Northeast Brazil as “mororo-de-espinho”, and can be found in the Caatinga region and in caatinga-cerrado transition forests. The stem bark is widely used as a depurative tonic and in the treatment of diabetes.13 Among the substances identified in the species of Bauhinia, are beta-sitosterol and kaempferol-3,7-dirhamnoside (kaempferitrin).14 Investigation of the root bark of B. pentandra (Fabaceae) led to isolation and characterization of a new cyanoglycoside called riachin. This drug has demonstrated antioxidant potential in 1,1-Diphenyl-2-picryl-hydrazyl (DPPH) and 2,2′-azino-bis-3-ethylbenzthiazoline-6-sulphonic acid (ABTS) tests, in addition to metal-chelating activity, including for ferrous (Fe2+) ions.15\nThe cyanoglycosides are widely known for their toxicity, but some have pharmacological activity, for example, an antiallergic action,16 without toxic effects. However, the majority of cyanoglycosides in nature are cyanogenic, meaning they contain an alphanitrile group adjacent to a glycosidic bond, such that hydrolysis of these glycosides by glycosidases, followed by oxidation of the resultant cyanohydrin, releases the corresponding aldehyde or ketone and hydrocyanic acid.\nPlants contain cyanogenic compounds are deemed not fit for animal or human consumption in their natural state, and can only be ingested if the cyanide has been eliminated by milling or heating.\nAlthough riachin is a cyanoglycoside, the position of the cyano group is not next to the glycosidic bond of the molecule, so its hydrolysis does not result in the release of cyanide, which decreases its toxicity. Accordingly, riachin is found in a limited group of non-cyanogenic cyanoglycosides, such as simmondsin17 and laphoriside isolated from Lophira alata, a common plant in Africa,18 as well as the more recently isolated class of cyanoglycosides called ehretiosides, which have been demonstrated to have antagonistic activity against histamine.19 The basic structure of this class was defined20 and later characterized as a non-cyanogenic cyanoglycoside, but under specific conditions, it can release a small quantity of cyanide.21\nNon-cyanogenic cyanoglycosides belong to a group of substances that are still little studied, but they appear to show different activities in various systems, including the immune and nervous systems, and have antibiotic activity.\nThe objective of this study was to investigate, using an in vitro model, the antibiotic and antibiotic-modifying activity of riachin, a cyanoglycoside extracted from B. pentandra (Bong.) Vog. Ex Steudas, and assess its potential as a therapeutic alternative for the treatment of bacterial infections, alone or in combination with other antibiotics, to reduce the utilization of drugs with more frequent adverse reactions.", "The molecular structure of riachin has been analyzed with support from the ChEMBL database, a strategic grant from the Wellcome Trust and the European Molecular Biology Laboratory (EMBL) for the field of chemogenomics. Access is free via the European Bioinformatics Institute (EBI, https://www.ebi.ac.uk/chembl/), which is part of the EMBL and responsible for financing. EMBL-EBI makes data freely available from life science experiments that cover the entire spectrum of molecular biology. The ChEMBL is an open database manually fed from periodicals concerning small molecules.22,23\nA search for similar molecules (having a minimum of 80% structural similarity to riachin) yielded six substances (Table 1). The activities of these substances as reported in the publications (Table 2) were considered to define the research procedures. Considering the evidence for antimicrobial activity of similar molecules, it was decided to investigate riachin as an antimicrobial agent or a modulator of antimicrobial activity.\n Bacteria The bacterial strains utilized were Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus with the resistance profiles identified in Table 3. All strains were maintained on heart infusion agar (Difco Laboratories Ltd, West Molesey, UK). Before the assays, the strains were grown for 18 hours at 37°C in brain heart infusion broth (Difco Laboratories Ltd). All bacteria used in this work were previously reported as having the existence of efflux pumps sensitive to phenothiazines.24,25\nThe bacterial strains utilized were Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus with the resistance profiles identified in Table 3. All strains were maintained on heart infusion agar (Difco Laboratories Ltd, West Molesey, UK). Before the assays, the strains were grown for 18 hours at 37°C in brain heart infusion broth (Difco Laboratories Ltd). All bacteria used in this work were previously reported as having the existence of efflux pumps sensitive to phenothiazines.24,25\n Drugs Gentamicin, amikacin, and clindamycin were obtained from Sigma Chemical Co (St Louis, MO, USA). The solutions were prepared according to the recommendations of the National Committee for Clinical Laboratory Standards.26 First, 1.2 kg of B. pentandra (Bong.) Vog. exSteud. (Fabaceae) powdered root bark were extracted with ethanol in a Soxhlet apparatus at the Molecular Sciences Laboratory, Universidade Federal Rural de Pernambuco. The extract was concentrated under vacuum in a rotary evaporator. After being allowed to stand in the refrigerator, the crude residue had the appearance of a light brown precipitate (2.46%) and was identified by spectrophotometric methods as the cyanoglycoside riachin (Figure 1).15\nGentamicin, amikacin, and clindamycin were obtained from Sigma Chemical Co (St Louis, MO, USA). The solutions were prepared according to the recommendations of the National Committee for Clinical Laboratory Standards.26 First, 1.2 kg of B. pentandra (Bong.) Vog. exSteud. (Fabaceae) powdered root bark were extracted with ethanol in a Soxhlet apparatus at the Molecular Sciences Laboratory, Universidade Federal Rural de Pernambuco. The extract was concentrated under vacuum in a rotary evaporator. After being allowed to stand in the refrigerator, the crude residue had the appearance of a light brown precipitate (2.46%) and was identified by spectrophotometric methods as the cyanoglycoside riachin (Figure 1).15\n Determination of MIC and modulation of antibiotic activity The minimal inhibitory concentration (MIC) was determined by the broth microdilution assay using an inoculum of 100 μL for each strain suspended in brain heart infusion broth with a concentration of 105 colony-forming units/mL in 96-well microtiter plates, with two-fold serial dilutions. Next, 100 μL of riachin were added to each well, where the final concentrations were in the range of 8–512 μg/mL. For the controls, the standard antibiotics (amikacin, gentami-cin, and clindamycin) were used at final concentrations of 8–512 μg/mL. The plates were incubated at 35°C for 24 hours, after which growth was assessed using the resazurin assay. MIC was determined as the lowest concentration that inhibited bacterial growth.\nTo evaluate the ability of riachin to modify the action of the antibiotics, the MICs of gentamicin and amikacin (aminoglycosides) and clindamycin (lincosamide) were determined in the presence and absence of riachin in sterile microplates. The antibiotics were evaluated at concentrations of 2.88–2,500 μg/mL. All antibiotics tested were obtained from Sigma-Aldrich.\nRiachin was dissolved in 10% brain heart infusion broth at a subinhibitory concentration, which was determined by evaluation of its MIC, where the compound was diluted to an eight-fold reduced MIC (MIC/8). Antibiotic solutions were prepared by addition of sterile distilled water at double the concentration (5,000 μg/mL) in relation to the initial concentration defined and volumes of 100 μL diluted serially 1:1 in 10% brain heart infusion broth. Next, 100 μL of culture containing a bacterial suspension diluted 1:10 were added to each well. The same controls utilized in the evaluation of MIC for the sample were utilized for modulation.24 The plates were incubated at 35°C for 24 hours, after which growth was measured by the resazurin assay. The antibacterial assay was performed in triplicate and the results were expressed as the mean of replicates.\nThe minimal inhibitory concentration (MIC) was determined by the broth microdilution assay using an inoculum of 100 μL for each strain suspended in brain heart infusion broth with a concentration of 105 colony-forming units/mL in 96-well microtiter plates, with two-fold serial dilutions. Next, 100 μL of riachin were added to each well, where the final concentrations were in the range of 8–512 μg/mL. For the controls, the standard antibiotics (amikacin, gentami-cin, and clindamycin) were used at final concentrations of 8–512 μg/mL. The plates were incubated at 35°C for 24 hours, after which growth was assessed using the resazurin assay. MIC was determined as the lowest concentration that inhibited bacterial growth.\nTo evaluate the ability of riachin to modify the action of the antibiotics, the MICs of gentamicin and amikacin (aminoglycosides) and clindamycin (lincosamide) were determined in the presence and absence of riachin in sterile microplates. The antibiotics were evaluated at concentrations of 2.88–2,500 μg/mL. All antibiotics tested were obtained from Sigma-Aldrich.\nRiachin was dissolved in 10% brain heart infusion broth at a subinhibitory concentration, which was determined by evaluation of its MIC, where the compound was diluted to an eight-fold reduced MIC (MIC/8). Antibiotic solutions were prepared by addition of sterile distilled water at double the concentration (5,000 μg/mL) in relation to the initial concentration defined and volumes of 100 μL diluted serially 1:1 in 10% brain heart infusion broth. Next, 100 μL of culture containing a bacterial suspension diluted 1:10 were added to each well. The same controls utilized in the evaluation of MIC for the sample were utilized for modulation.24 The plates were incubated at 35°C for 24 hours, after which growth was measured by the resazurin assay. The antibacterial assay was performed in triplicate and the results were expressed as the mean of replicates.\n Statistical analysis Statistical analysis of the data was done using the GraphPad Prism® version 4.0 for Windows® software (GraphPad Software, San Diego, CA, USA). Data showing a parametric distribution were evaluated by analysis of variance. All data are shown as the mean ± standard error of the mean, and the critical level considered to reject the null hypothesis was 0.05 (P<0.05).\nStatistical analysis of the data was done using the GraphPad Prism® version 4.0 for Windows® software (GraphPad Software, San Diego, CA, USA). Data showing a parametric distribution were evaluated by analysis of variance. All data are shown as the mean ± standard error of the mean, and the critical level considered to reject the null hypothesis was 0.05 (P<0.05).", "The bacterial strains utilized were Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus with the resistance profiles identified in Table 3. All strains were maintained on heart infusion agar (Difco Laboratories Ltd, West Molesey, UK). Before the assays, the strains were grown for 18 hours at 37°C in brain heart infusion broth (Difco Laboratories Ltd). All bacteria used in this work were previously reported as having the existence of efflux pumps sensitive to phenothiazines.24,25", "Gentamicin, amikacin, and clindamycin were obtained from Sigma Chemical Co (St Louis, MO, USA). The solutions were prepared according to the recommendations of the National Committee for Clinical Laboratory Standards.26 First, 1.2 kg of B. pentandra (Bong.) Vog. exSteud. (Fabaceae) powdered root bark were extracted with ethanol in a Soxhlet apparatus at the Molecular Sciences Laboratory, Universidade Federal Rural de Pernambuco. The extract was concentrated under vacuum in a rotary evaporator. After being allowed to stand in the refrigerator, the crude residue had the appearance of a light brown precipitate (2.46%) and was identified by spectrophotometric methods as the cyanoglycoside riachin (Figure 1).15", "The minimal inhibitory concentration (MIC) was determined by the broth microdilution assay using an inoculum of 100 μL for each strain suspended in brain heart infusion broth with a concentration of 105 colony-forming units/mL in 96-well microtiter plates, with two-fold serial dilutions. Next, 100 μL of riachin were added to each well, where the final concentrations were in the range of 8–512 μg/mL. For the controls, the standard antibiotics (amikacin, gentami-cin, and clindamycin) were used at final concentrations of 8–512 μg/mL. The plates were incubated at 35°C for 24 hours, after which growth was assessed using the resazurin assay. MIC was determined as the lowest concentration that inhibited bacterial growth.\nTo evaluate the ability of riachin to modify the action of the antibiotics, the MICs of gentamicin and amikacin (aminoglycosides) and clindamycin (lincosamide) were determined in the presence and absence of riachin in sterile microplates. The antibiotics were evaluated at concentrations of 2.88–2,500 μg/mL. All antibiotics tested were obtained from Sigma-Aldrich.\nRiachin was dissolved in 10% brain heart infusion broth at a subinhibitory concentration, which was determined by evaluation of its MIC, where the compound was diluted to an eight-fold reduced MIC (MIC/8). Antibiotic solutions were prepared by addition of sterile distilled water at double the concentration (5,000 μg/mL) in relation to the initial concentration defined and volumes of 100 μL diluted serially 1:1 in 10% brain heart infusion broth. Next, 100 μL of culture containing a bacterial suspension diluted 1:10 were added to each well. The same controls utilized in the evaluation of MIC for the sample were utilized for modulation.24 The plates were incubated at 35°C for 24 hours, after which growth was measured by the resazurin assay. The antibacterial assay was performed in triplicate and the results were expressed as the mean of replicates.", "Statistical analysis of the data was done using the GraphPad Prism® version 4.0 for Windows® software (GraphPad Software, San Diego, CA, USA). Data showing a parametric distribution were evaluated by analysis of variance. All data are shown as the mean ± standard error of the mean, and the critical level considered to reject the null hypothesis was 0.05 (P<0.05).", "The MIC of the test compound against the standard bacterial strains (E. coli ATCC 25922, S. aureus ATCC 25923, and P. aeruginosa ATCC 25853) showed the same result, ie, an MIC ≥1,024 μg/mL, with the exception of the sample against E. coli 25922, which had an MIC of 128 μg/mL. No clinically relevant activity was demonstrated, according to the limits established by the protocol.24 A pilot assay utilizing only dimethyl sulfoxide was performed, in which no antibiotic activity or antibiotic-modifying activity was observed, indicating that it had no influence at the concentration utilized (1.0%).27\nFigure 2 shows the MICs for the aminoglycosides and for clindamycin in the presence and absence of riachin (C14H19NO8) at an MIC/8 concentration of 128 μg/mL. Thus, a significant synergistic effect (P<0.001) was seen against P. aeruginosa when amikacin was combined with the test compound and against S. aureus with the combination of riachin and clindamycin. The other results were not statistically significant (P>0/05).\nOther studies using natural products or active substances from plants with antibiotic activity have obtained satisfactory results.28,29 These results are in agreement with other reports in the literature showing that combinations of natural products and antibiotics can reduce antibiotic resistance.25\nFew studies of B. pentandra have been published, and none have investigated the activity of the plant or its components against microorganisms. Other species of Bauhinia have shown some antibiotic activity,30 the most closely related being Bauhinia tomentosa, B. vahlii,31\nB. kockiana,32 and B. purpurea L.33 However, the literature is still scarce with regard to the activity of plants of this genus against microorganisms. Since riachin can be isolated from the root bark of B. pentandra in good quantity (2.46%),15 it can be readily obtained for studies of its antibiotic activity.\nSince the 1960s when the aminoglycosides were first introduced to the market, a number of infections caused by Gram-negative bacteria have been able to be treated more effectively, but at the expense of side effects, in particular nephrotoxicity34,35 and ototoxicity.36–38 The main adverse effects of clindamycin are gastrointestinal disturbance, which can manifest in the form of pseudomembranous colitis,39 and severe diarrhea. These side effects are relevant factors to be considered when treating patient with these agents. Thus, combination of riachin with amikacin or clindamycin could be an alternative to minimize the side effects of these antibiotics, since their combination leads to a synergistic effect and significant reduction in MIC, meaning that the dose needed for therapeutic success can be lowered.\nThe principal drug resistance mechanisms of bacteria involve modifications in the target bond in the ribosome, the efflux pump, or enzymatic inactivation of the drug.40 Clindamycin is often used in skin infections, particularly when there is resistance to penicillins.41\nThe possible difference in activity of riachin against the P. aeruginosa strain when combined with amikacin and gentamicin is probably due to the structural differences in these aminoglycosides; both are hydrophilic molecules formed by an aminocyclitol ring connected to one or more amino sugars through a glycosidic bond. In most of the drugs with these characteristics and which are clinically useful – the aminocyclitol group is 2-deoxy-streptamine, which can be bisubstituted at position 4 and 5, or 4 and 6,42 so being able to influence the the polarity, solubility, and consequently, the absorption of these drugs.\nOur results are consistent with those found in the literature,43 and demonstrate that E. coli strains are more resistant to the action of natural products, such as extracts and essential oils.43 This could be due to the presence of other resistance mechanisms, including the efflux pump, production of enzymes that cleave the β-lactam ring (β-lactamases), and changes in penicillin-binding proteins.44,45", "The use of antibiotics is routine and necessary in clinical practice, but development of resistance makes it difficult to achieve the desired results in many patients, even in patients with low risk of severe adverse reactions for some drug classes, particularly the aminoglycosides. Accordingly, the activity of amikacin against P. aeruginosa and the activity of clindamycin against S. aureus could be potentiated if these antibiotics were combined with riachin. Due to the high polarity of riachin, this substance is likely to interact with efflux pumps in bacteria; tests are being developed to investigate this possibility using specific bacterial strains with defined and super-expression of efflux pumps. Further studies should be conducted, in particular studies of new combinations containing this natural drug and other bacterial strains. This compound may have a role as an adjuvant in some pharmaceutical formulations used to treat infection." ]
[ "intro", "materials|methods", null, null, null, "methods", null, null ]
[ "riachin", "Escherichia coli", "Pseudomonas aeruginosa", "Staphylococcus aureus" ]
Introduction: Infectious diseases of bacterial origin are a recurrent problem in public health, and have a substantial impact on morbidity and mortality in populations in general. Therefore, in recent years, the pharmaceutical industry has been prompted to develop new antibiotic drugs, in particular because of the emergence of microorganisms resistant to conventional drugs.1 This occurs because bacteria have the genetic capacity to acquire and transmit resistance to the antibacterial agents currently available. There are various reports on bacterial isolates that are known for being sensitive to routinely used drugs, but have now become resistant to other medications available on the market.2,3 Consequently, pharmaceutical companies are searching for new strategies to supply the market with new antibiotics. The most common strategies involve altering the molecular structures of existing drugs, with the aim of making them more effective or able to recover their lost activity due to the presence of bacterial resistance mechanisms.4 Accordingly, natural products such as those of plant origin have been identified as not only having antibacterial activity but also as being able to potentiate antibiotic activity.5,6 The Brazilian flora is very diverse, and still has a large variety of species not yet studied; each year, new substances are identified in nature, and many of these may have the potential to be developed as new drugs. Plants of Northeast Brazil under investigation include species of Bauhinia, among which Bauhinia forficata has been utilized by the people for many years, principally because of its hypoglycemic activity, a property reported back in the 1990s by various authors.7–9 Another species that has shown scientific relevance is Bauhinia pentandra, which has demonstrated antiulcer activity,10 and has an inhibitory effect on factor XIIa in the coagulation cascade.11,12 B. pentandra (Bong.) Vog. Ex Steud (Fabaceae) is known in Northeast Brazil as “mororo-de-espinho”, and can be found in the Caatinga region and in caatinga-cerrado transition forests. The stem bark is widely used as a depurative tonic and in the treatment of diabetes.13 Among the substances identified in the species of Bauhinia, are beta-sitosterol and kaempferol-3,7-dirhamnoside (kaempferitrin).14 Investigation of the root bark of B. pentandra (Fabaceae) led to isolation and characterization of a new cyanoglycoside called riachin. This drug has demonstrated antioxidant potential in 1,1-Diphenyl-2-picryl-hydrazyl (DPPH) and 2,2′-azino-bis-3-ethylbenzthiazoline-6-sulphonic acid (ABTS) tests, in addition to metal-chelating activity, including for ferrous (Fe2+) ions.15 The cyanoglycosides are widely known for their toxicity, but some have pharmacological activity, for example, an antiallergic action,16 without toxic effects. However, the majority of cyanoglycosides in nature are cyanogenic, meaning they contain an alphanitrile group adjacent to a glycosidic bond, such that hydrolysis of these glycosides by glycosidases, followed by oxidation of the resultant cyanohydrin, releases the corresponding aldehyde or ketone and hydrocyanic acid. Plants contain cyanogenic compounds are deemed not fit for animal or human consumption in their natural state, and can only be ingested if the cyanide has been eliminated by milling or heating. Although riachin is a cyanoglycoside, the position of the cyano group is not next to the glycosidic bond of the molecule, so its hydrolysis does not result in the release of cyanide, which decreases its toxicity. Accordingly, riachin is found in a limited group of non-cyanogenic cyanoglycosides, such as simmondsin17 and laphoriside isolated from Lophira alata, a common plant in Africa,18 as well as the more recently isolated class of cyanoglycosides called ehretiosides, which have been demonstrated to have antagonistic activity against histamine.19 The basic structure of this class was defined20 and later characterized as a non-cyanogenic cyanoglycoside, but under specific conditions, it can release a small quantity of cyanide.21 Non-cyanogenic cyanoglycosides belong to a group of substances that are still little studied, but they appear to show different activities in various systems, including the immune and nervous systems, and have antibiotic activity. The objective of this study was to investigate, using an in vitro model, the antibiotic and antibiotic-modifying activity of riachin, a cyanoglycoside extracted from B. pentandra (Bong.) Vog. Ex Steudas, and assess its potential as a therapeutic alternative for the treatment of bacterial infections, alone or in combination with other antibiotics, to reduce the utilization of drugs with more frequent adverse reactions. Materials and methods: The molecular structure of riachin has been analyzed with support from the ChEMBL database, a strategic grant from the Wellcome Trust and the European Molecular Biology Laboratory (EMBL) for the field of chemogenomics. Access is free via the European Bioinformatics Institute (EBI, https://www.ebi.ac.uk/chembl/), which is part of the EMBL and responsible for financing. EMBL-EBI makes data freely available from life science experiments that cover the entire spectrum of molecular biology. The ChEMBL is an open database manually fed from periodicals concerning small molecules.22,23 A search for similar molecules (having a minimum of 80% structural similarity to riachin) yielded six substances (Table 1). The activities of these substances as reported in the publications (Table 2) were considered to define the research procedures. Considering the evidence for antimicrobial activity of similar molecules, it was decided to investigate riachin as an antimicrobial agent or a modulator of antimicrobial activity. Bacteria The bacterial strains utilized were Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus with the resistance profiles identified in Table 3. All strains were maintained on heart infusion agar (Difco Laboratories Ltd, West Molesey, UK). Before the assays, the strains were grown for 18 hours at 37°C in brain heart infusion broth (Difco Laboratories Ltd). All bacteria used in this work were previously reported as having the existence of efflux pumps sensitive to phenothiazines.24,25 The bacterial strains utilized were Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus with the resistance profiles identified in Table 3. All strains were maintained on heart infusion agar (Difco Laboratories Ltd, West Molesey, UK). Before the assays, the strains were grown for 18 hours at 37°C in brain heart infusion broth (Difco Laboratories Ltd). All bacteria used in this work were previously reported as having the existence of efflux pumps sensitive to phenothiazines.24,25 Drugs Gentamicin, amikacin, and clindamycin were obtained from Sigma Chemical Co (St Louis, MO, USA). The solutions were prepared according to the recommendations of the National Committee for Clinical Laboratory Standards.26 First, 1.2 kg of B. pentandra (Bong.) Vog. exSteud. (Fabaceae) powdered root bark were extracted with ethanol in a Soxhlet apparatus at the Molecular Sciences Laboratory, Universidade Federal Rural de Pernambuco. The extract was concentrated under vacuum in a rotary evaporator. After being allowed to stand in the refrigerator, the crude residue had the appearance of a light brown precipitate (2.46%) and was identified by spectrophotometric methods as the cyanoglycoside riachin (Figure 1).15 Gentamicin, amikacin, and clindamycin were obtained from Sigma Chemical Co (St Louis, MO, USA). The solutions were prepared according to the recommendations of the National Committee for Clinical Laboratory Standards.26 First, 1.2 kg of B. pentandra (Bong.) Vog. exSteud. (Fabaceae) powdered root bark were extracted with ethanol in a Soxhlet apparatus at the Molecular Sciences Laboratory, Universidade Federal Rural de Pernambuco. The extract was concentrated under vacuum in a rotary evaporator. After being allowed to stand in the refrigerator, the crude residue had the appearance of a light brown precipitate (2.46%) and was identified by spectrophotometric methods as the cyanoglycoside riachin (Figure 1).15 Determination of MIC and modulation of antibiotic activity The minimal inhibitory concentration (MIC) was determined by the broth microdilution assay using an inoculum of 100 μL for each strain suspended in brain heart infusion broth with a concentration of 105 colony-forming units/mL in 96-well microtiter plates, with two-fold serial dilutions. Next, 100 μL of riachin were added to each well, where the final concentrations were in the range of 8–512 μg/mL. For the controls, the standard antibiotics (amikacin, gentami-cin, and clindamycin) were used at final concentrations of 8–512 μg/mL. The plates were incubated at 35°C for 24 hours, after which growth was assessed using the resazurin assay. MIC was determined as the lowest concentration that inhibited bacterial growth. To evaluate the ability of riachin to modify the action of the antibiotics, the MICs of gentamicin and amikacin (aminoglycosides) and clindamycin (lincosamide) were determined in the presence and absence of riachin in sterile microplates. The antibiotics were evaluated at concentrations of 2.88–2,500 μg/mL. All antibiotics tested were obtained from Sigma-Aldrich. Riachin was dissolved in 10% brain heart infusion broth at a subinhibitory concentration, which was determined by evaluation of its MIC, where the compound was diluted to an eight-fold reduced MIC (MIC/8). Antibiotic solutions were prepared by addition of sterile distilled water at double the concentration (5,000 μg/mL) in relation to the initial concentration defined and volumes of 100 μL diluted serially 1:1 in 10% brain heart infusion broth. Next, 100 μL of culture containing a bacterial suspension diluted 1:10 were added to each well. The same controls utilized in the evaluation of MIC for the sample were utilized for modulation.24 The plates were incubated at 35°C for 24 hours, after which growth was measured by the resazurin assay. The antibacterial assay was performed in triplicate and the results were expressed as the mean of replicates. The minimal inhibitory concentration (MIC) was determined by the broth microdilution assay using an inoculum of 100 μL for each strain suspended in brain heart infusion broth with a concentration of 105 colony-forming units/mL in 96-well microtiter plates, with two-fold serial dilutions. Next, 100 μL of riachin were added to each well, where the final concentrations were in the range of 8–512 μg/mL. For the controls, the standard antibiotics (amikacin, gentami-cin, and clindamycin) were used at final concentrations of 8–512 μg/mL. The plates were incubated at 35°C for 24 hours, after which growth was assessed using the resazurin assay. MIC was determined as the lowest concentration that inhibited bacterial growth. To evaluate the ability of riachin to modify the action of the antibiotics, the MICs of gentamicin and amikacin (aminoglycosides) and clindamycin (lincosamide) were determined in the presence and absence of riachin in sterile microplates. The antibiotics were evaluated at concentrations of 2.88–2,500 μg/mL. All antibiotics tested were obtained from Sigma-Aldrich. Riachin was dissolved in 10% brain heart infusion broth at a subinhibitory concentration, which was determined by evaluation of its MIC, where the compound was diluted to an eight-fold reduced MIC (MIC/8). Antibiotic solutions were prepared by addition of sterile distilled water at double the concentration (5,000 μg/mL) in relation to the initial concentration defined and volumes of 100 μL diluted serially 1:1 in 10% brain heart infusion broth. Next, 100 μL of culture containing a bacterial suspension diluted 1:10 were added to each well. The same controls utilized in the evaluation of MIC for the sample were utilized for modulation.24 The plates were incubated at 35°C for 24 hours, after which growth was measured by the resazurin assay. The antibacterial assay was performed in triplicate and the results were expressed as the mean of replicates. Statistical analysis Statistical analysis of the data was done using the GraphPad Prism® version 4.0 for Windows® software (GraphPad Software, San Diego, CA, USA). Data showing a parametric distribution were evaluated by analysis of variance. All data are shown as the mean ± standard error of the mean, and the critical level considered to reject the null hypothesis was 0.05 (P<0.05). Statistical analysis of the data was done using the GraphPad Prism® version 4.0 for Windows® software (GraphPad Software, San Diego, CA, USA). Data showing a parametric distribution were evaluated by analysis of variance. All data are shown as the mean ± standard error of the mean, and the critical level considered to reject the null hypothesis was 0.05 (P<0.05). Bacteria: The bacterial strains utilized were Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus with the resistance profiles identified in Table 3. All strains were maintained on heart infusion agar (Difco Laboratories Ltd, West Molesey, UK). Before the assays, the strains were grown for 18 hours at 37°C in brain heart infusion broth (Difco Laboratories Ltd). All bacteria used in this work were previously reported as having the existence of efflux pumps sensitive to phenothiazines.24,25 Drugs: Gentamicin, amikacin, and clindamycin were obtained from Sigma Chemical Co (St Louis, MO, USA). The solutions were prepared according to the recommendations of the National Committee for Clinical Laboratory Standards.26 First, 1.2 kg of B. pentandra (Bong.) Vog. exSteud. (Fabaceae) powdered root bark were extracted with ethanol in a Soxhlet apparatus at the Molecular Sciences Laboratory, Universidade Federal Rural de Pernambuco. The extract was concentrated under vacuum in a rotary evaporator. After being allowed to stand in the refrigerator, the crude residue had the appearance of a light brown precipitate (2.46%) and was identified by spectrophotometric methods as the cyanoglycoside riachin (Figure 1).15 Determination of MIC and modulation of antibiotic activity: The minimal inhibitory concentration (MIC) was determined by the broth microdilution assay using an inoculum of 100 μL for each strain suspended in brain heart infusion broth with a concentration of 105 colony-forming units/mL in 96-well microtiter plates, with two-fold serial dilutions. Next, 100 μL of riachin were added to each well, where the final concentrations were in the range of 8–512 μg/mL. For the controls, the standard antibiotics (amikacin, gentami-cin, and clindamycin) were used at final concentrations of 8–512 μg/mL. The plates were incubated at 35°C for 24 hours, after which growth was assessed using the resazurin assay. MIC was determined as the lowest concentration that inhibited bacterial growth. To evaluate the ability of riachin to modify the action of the antibiotics, the MICs of gentamicin and amikacin (aminoglycosides) and clindamycin (lincosamide) were determined in the presence and absence of riachin in sterile microplates. The antibiotics were evaluated at concentrations of 2.88–2,500 μg/mL. All antibiotics tested were obtained from Sigma-Aldrich. Riachin was dissolved in 10% brain heart infusion broth at a subinhibitory concentration, which was determined by evaluation of its MIC, where the compound was diluted to an eight-fold reduced MIC (MIC/8). Antibiotic solutions were prepared by addition of sterile distilled water at double the concentration (5,000 μg/mL) in relation to the initial concentration defined and volumes of 100 μL diluted serially 1:1 in 10% brain heart infusion broth. Next, 100 μL of culture containing a bacterial suspension diluted 1:10 were added to each well. The same controls utilized in the evaluation of MIC for the sample were utilized for modulation.24 The plates were incubated at 35°C for 24 hours, after which growth was measured by the resazurin assay. The antibacterial assay was performed in triplicate and the results were expressed as the mean of replicates. Statistical analysis: Statistical analysis of the data was done using the GraphPad Prism® version 4.0 for Windows® software (GraphPad Software, San Diego, CA, USA). Data showing a parametric distribution were evaluated by analysis of variance. All data are shown as the mean ± standard error of the mean, and the critical level considered to reject the null hypothesis was 0.05 (P<0.05). Results and discussion: The MIC of the test compound against the standard bacterial strains (E. coli ATCC 25922, S. aureus ATCC 25923, and P. aeruginosa ATCC 25853) showed the same result, ie, an MIC ≥1,024 μg/mL, with the exception of the sample against E. coli 25922, which had an MIC of 128 μg/mL. No clinically relevant activity was demonstrated, according to the limits established by the protocol.24 A pilot assay utilizing only dimethyl sulfoxide was performed, in which no antibiotic activity or antibiotic-modifying activity was observed, indicating that it had no influence at the concentration utilized (1.0%).27 Figure 2 shows the MICs for the aminoglycosides and for clindamycin in the presence and absence of riachin (C14H19NO8) at an MIC/8 concentration of 128 μg/mL. Thus, a significant synergistic effect (P<0.001) was seen against P. aeruginosa when amikacin was combined with the test compound and against S. aureus with the combination of riachin and clindamycin. The other results were not statistically significant (P>0/05). Other studies using natural products or active substances from plants with antibiotic activity have obtained satisfactory results.28,29 These results are in agreement with other reports in the literature showing that combinations of natural products and antibiotics can reduce antibiotic resistance.25 Few studies of B. pentandra have been published, and none have investigated the activity of the plant or its components against microorganisms. Other species of Bauhinia have shown some antibiotic activity,30 the most closely related being Bauhinia tomentosa, B. vahlii,31 B. kockiana,32 and B. purpurea L.33 However, the literature is still scarce with regard to the activity of plants of this genus against microorganisms. Since riachin can be isolated from the root bark of B. pentandra in good quantity (2.46%),15 it can be readily obtained for studies of its antibiotic activity. Since the 1960s when the aminoglycosides were first introduced to the market, a number of infections caused by Gram-negative bacteria have been able to be treated more effectively, but at the expense of side effects, in particular nephrotoxicity34,35 and ototoxicity.36–38 The main adverse effects of clindamycin are gastrointestinal disturbance, which can manifest in the form of pseudomembranous colitis,39 and severe diarrhea. These side effects are relevant factors to be considered when treating patient with these agents. Thus, combination of riachin with amikacin or clindamycin could be an alternative to minimize the side effects of these antibiotics, since their combination leads to a synergistic effect and significant reduction in MIC, meaning that the dose needed for therapeutic success can be lowered. The principal drug resistance mechanisms of bacteria involve modifications in the target bond in the ribosome, the efflux pump, or enzymatic inactivation of the drug.40 Clindamycin is often used in skin infections, particularly when there is resistance to penicillins.41 The possible difference in activity of riachin against the P. aeruginosa strain when combined with amikacin and gentamicin is probably due to the structural differences in these aminoglycosides; both are hydrophilic molecules formed by an aminocyclitol ring connected to one or more amino sugars through a glycosidic bond. In most of the drugs with these characteristics and which are clinically useful – the aminocyclitol group is 2-deoxy-streptamine, which can be bisubstituted at position 4 and 5, or 4 and 6,42 so being able to influence the the polarity, solubility, and consequently, the absorption of these drugs. Our results are consistent with those found in the literature,43 and demonstrate that E. coli strains are more resistant to the action of natural products, such as extracts and essential oils.43 This could be due to the presence of other resistance mechanisms, including the efflux pump, production of enzymes that cleave the β-lactam ring (β-lactamases), and changes in penicillin-binding proteins.44,45 Conclusion: The use of antibiotics is routine and necessary in clinical practice, but development of resistance makes it difficult to achieve the desired results in many patients, even in patients with low risk of severe adverse reactions for some drug classes, particularly the aminoglycosides. Accordingly, the activity of amikacin against P. aeruginosa and the activity of clindamycin against S. aureus could be potentiated if these antibiotics were combined with riachin. Due to the high polarity of riachin, this substance is likely to interact with efflux pumps in bacteria; tests are being developed to investigate this possibility using specific bacterial strains with defined and super-expression of efflux pumps. Further studies should be conducted, in particular studies of new combinations containing this natural drug and other bacterial strains. This compound may have a role as an adjuvant in some pharmaceutical formulations used to treat infection.
Background: The search for new active compounds from the Brazilian flora has intensified in recent years, especially for new drugs with antibiotic potential. Accordingly, the aim of this study was to determine whether riachin has antibiotic activity in itself or is able to modulate the activity of conventional antibiotics. Methods: A non-cyanogenic cyanoglycoside known as riachin was isolated from Bauhinia pentandra, and was tested alone and in combination with three antibiotics (clindamycin, amikacin, and gentamicin) against multiresistant bacterial strains (Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus). Results: Riachin did not show significant antibiotic activity when tested alone against any strain (P>0.05). However, when combined with conventional antibiotics, it showed drug-modifying activity against strains of S. aureus exposed to clindamycin (P<0.001) as well as against P. aeruginosa exposed to amikacin (P<0.001). Although riachin did not show direct antibiotic activity, it had synergistic activity when combined with amikacin or clindamycin. The mechanism of action of this synergism is under investigation. Conclusions: The results of this work demonstrate that some substances of natural origin can enhance the effectiveness of certain antibiotics, which means a substantial reduction in the drug dose required and possibly in consequent adverse events for patients.
Introduction: Infectious diseases of bacterial origin are a recurrent problem in public health, and have a substantial impact on morbidity and mortality in populations in general. Therefore, in recent years, the pharmaceutical industry has been prompted to develop new antibiotic drugs, in particular because of the emergence of microorganisms resistant to conventional drugs.1 This occurs because bacteria have the genetic capacity to acquire and transmit resistance to the antibacterial agents currently available. There are various reports on bacterial isolates that are known for being sensitive to routinely used drugs, but have now become resistant to other medications available on the market.2,3 Consequently, pharmaceutical companies are searching for new strategies to supply the market with new antibiotics. The most common strategies involve altering the molecular structures of existing drugs, with the aim of making them more effective or able to recover their lost activity due to the presence of bacterial resistance mechanisms.4 Accordingly, natural products such as those of plant origin have been identified as not only having antibacterial activity but also as being able to potentiate antibiotic activity.5,6 The Brazilian flora is very diverse, and still has a large variety of species not yet studied; each year, new substances are identified in nature, and many of these may have the potential to be developed as new drugs. Plants of Northeast Brazil under investigation include species of Bauhinia, among which Bauhinia forficata has been utilized by the people for many years, principally because of its hypoglycemic activity, a property reported back in the 1990s by various authors.7–9 Another species that has shown scientific relevance is Bauhinia pentandra, which has demonstrated antiulcer activity,10 and has an inhibitory effect on factor XIIa in the coagulation cascade.11,12 B. pentandra (Bong.) Vog. Ex Steud (Fabaceae) is known in Northeast Brazil as “mororo-de-espinho”, and can be found in the Caatinga region and in caatinga-cerrado transition forests. The stem bark is widely used as a depurative tonic and in the treatment of diabetes.13 Among the substances identified in the species of Bauhinia, are beta-sitosterol and kaempferol-3,7-dirhamnoside (kaempferitrin).14 Investigation of the root bark of B. pentandra (Fabaceae) led to isolation and characterization of a new cyanoglycoside called riachin. This drug has demonstrated antioxidant potential in 1,1-Diphenyl-2-picryl-hydrazyl (DPPH) and 2,2′-azino-bis-3-ethylbenzthiazoline-6-sulphonic acid (ABTS) tests, in addition to metal-chelating activity, including for ferrous (Fe2+) ions.15 The cyanoglycosides are widely known for their toxicity, but some have pharmacological activity, for example, an antiallergic action,16 without toxic effects. However, the majority of cyanoglycosides in nature are cyanogenic, meaning they contain an alphanitrile group adjacent to a glycosidic bond, such that hydrolysis of these glycosides by glycosidases, followed by oxidation of the resultant cyanohydrin, releases the corresponding aldehyde or ketone and hydrocyanic acid. Plants contain cyanogenic compounds are deemed not fit for animal or human consumption in their natural state, and can only be ingested if the cyanide has been eliminated by milling or heating. Although riachin is a cyanoglycoside, the position of the cyano group is not next to the glycosidic bond of the molecule, so its hydrolysis does not result in the release of cyanide, which decreases its toxicity. Accordingly, riachin is found in a limited group of non-cyanogenic cyanoglycosides, such as simmondsin17 and laphoriside isolated from Lophira alata, a common plant in Africa,18 as well as the more recently isolated class of cyanoglycosides called ehretiosides, which have been demonstrated to have antagonistic activity against histamine.19 The basic structure of this class was defined20 and later characterized as a non-cyanogenic cyanoglycoside, but under specific conditions, it can release a small quantity of cyanide.21 Non-cyanogenic cyanoglycosides belong to a group of substances that are still little studied, but they appear to show different activities in various systems, including the immune and nervous systems, and have antibiotic activity. The objective of this study was to investigate, using an in vitro model, the antibiotic and antibiotic-modifying activity of riachin, a cyanoglycoside extracted from B. pentandra (Bong.) Vog. Ex Steudas, and assess its potential as a therapeutic alternative for the treatment of bacterial infections, alone or in combination with other antibiotics, to reduce the utilization of drugs with more frequent adverse reactions. Conclusion: The use of antibiotics is routine and necessary in clinical practice, but development of resistance makes it difficult to achieve the desired results in many patients, even in patients with low risk of severe adverse reactions for some drug classes, particularly the aminoglycosides. Accordingly, the activity of amikacin against P. aeruginosa and the activity of clindamycin against S. aureus could be potentiated if these antibiotics were combined with riachin. Due to the high polarity of riachin, this substance is likely to interact with efflux pumps in bacteria; tests are being developed to investigate this possibility using specific bacterial strains with defined and super-expression of efflux pumps. Further studies should be conducted, in particular studies of new combinations containing this natural drug and other bacterial strains. This compound may have a role as an adjuvant in some pharmaceutical formulations used to treat infection.
Background: The search for new active compounds from the Brazilian flora has intensified in recent years, especially for new drugs with antibiotic potential. Accordingly, the aim of this study was to determine whether riachin has antibiotic activity in itself or is able to modulate the activity of conventional antibiotics. Methods: A non-cyanogenic cyanoglycoside known as riachin was isolated from Bauhinia pentandra, and was tested alone and in combination with three antibiotics (clindamycin, amikacin, and gentamicin) against multiresistant bacterial strains (Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus). Results: Riachin did not show significant antibiotic activity when tested alone against any strain (P>0.05). However, when combined with conventional antibiotics, it showed drug-modifying activity against strains of S. aureus exposed to clindamycin (P<0.001) as well as against P. aeruginosa exposed to amikacin (P<0.001). Although riachin did not show direct antibiotic activity, it had synergistic activity when combined with amikacin or clindamycin. The mechanism of action of this synergism is under investigation. Conclusions: The results of this work demonstrate that some substances of natural origin can enhance the effectiveness of certain antibiotics, which means a substantial reduction in the drug dose required and possibly in consequent adverse events for patients.
3,824
240
[ 87, 126, 361, 687, 156 ]
8
[ "riachin", "mic", "activity", "concentration", "ml", "antibiotics", "antibiotic", "bacterial", "μg ml", "infusion" ]
[ "resistance antibacterial", "develop new antibiotic", "natural products antibiotics", "drug bacterial strains", "antibiotic activity brazilian" ]
null
[CONTENT] riachin | Escherichia coli | Pseudomonas aeruginosa | Staphylococcus aureus [SUMMARY]
[CONTENT] riachin | Escherichia coli | Pseudomonas aeruginosa | Staphylococcus aureus [SUMMARY]
null
[CONTENT] riachin | Escherichia coli | Pseudomonas aeruginosa | Staphylococcus aureus [SUMMARY]
[CONTENT] riachin | Escherichia coli | Pseudomonas aeruginosa | Staphylococcus aureus [SUMMARY]
[CONTENT] riachin | Escherichia coli | Pseudomonas aeruginosa | Staphylococcus aureus [SUMMARY]
[CONTENT] Acrylonitrile | Anti-Bacterial Agents | Bauhinia | Drug Resistance, Multiple, Bacterial | Drug Synergism | Escherichia coli | Glucosides | Microbial Sensitivity Tests | Plant Extracts | Pseudomonas aeruginosa | Staphylococcus aureus [SUMMARY]
[CONTENT] Acrylonitrile | Anti-Bacterial Agents | Bauhinia | Drug Resistance, Multiple, Bacterial | Drug Synergism | Escherichia coli | Glucosides | Microbial Sensitivity Tests | Plant Extracts | Pseudomonas aeruginosa | Staphylococcus aureus [SUMMARY]
null
[CONTENT] Acrylonitrile | Anti-Bacterial Agents | Bauhinia | Drug Resistance, Multiple, Bacterial | Drug Synergism | Escherichia coli | Glucosides | Microbial Sensitivity Tests | Plant Extracts | Pseudomonas aeruginosa | Staphylococcus aureus [SUMMARY]
[CONTENT] Acrylonitrile | Anti-Bacterial Agents | Bauhinia | Drug Resistance, Multiple, Bacterial | Drug Synergism | Escherichia coli | Glucosides | Microbial Sensitivity Tests | Plant Extracts | Pseudomonas aeruginosa | Staphylococcus aureus [SUMMARY]
[CONTENT] Acrylonitrile | Anti-Bacterial Agents | Bauhinia | Drug Resistance, Multiple, Bacterial | Drug Synergism | Escherichia coli | Glucosides | Microbial Sensitivity Tests | Plant Extracts | Pseudomonas aeruginosa | Staphylococcus aureus [SUMMARY]
[CONTENT] resistance antibacterial | develop new antibiotic | natural products antibiotics | drug bacterial strains | antibiotic activity brazilian [SUMMARY]
[CONTENT] resistance antibacterial | develop new antibiotic | natural products antibiotics | drug bacterial strains | antibiotic activity brazilian [SUMMARY]
null
[CONTENT] resistance antibacterial | develop new antibiotic | natural products antibiotics | drug bacterial strains | antibiotic activity brazilian [SUMMARY]
[CONTENT] resistance antibacterial | develop new antibiotic | natural products antibiotics | drug bacterial strains | antibiotic activity brazilian [SUMMARY]
[CONTENT] resistance antibacterial | develop new antibiotic | natural products antibiotics | drug bacterial strains | antibiotic activity brazilian [SUMMARY]
[CONTENT] riachin | mic | activity | concentration | ml | antibiotics | antibiotic | bacterial | μg ml | infusion [SUMMARY]
[CONTENT] riachin | mic | activity | concentration | ml | antibiotics | antibiotic | bacterial | μg ml | infusion [SUMMARY]
null
[CONTENT] riachin | mic | activity | concentration | ml | antibiotics | antibiotic | bacterial | μg ml | infusion [SUMMARY]
[CONTENT] riachin | mic | activity | concentration | ml | antibiotics | antibiotic | bacterial | μg ml | infusion [SUMMARY]
[CONTENT] riachin | mic | activity | concentration | ml | antibiotics | antibiotic | bacterial | μg ml | infusion [SUMMARY]
[CONTENT] activity | new | cyanogenic | cyanoglycosides | drugs | species | group | bauhinia | antibiotic | non cyanogenic [SUMMARY]
[CONTENT] data | graphpad | software | analysis | 05 | mean | variance data shown mean | version windows | version windows software | version windows software graphpad [SUMMARY]
null
[CONTENT] patients | studies | pumps | drug | efflux pumps | strains | activity | bacterial strains | efflux | antibiotics [SUMMARY]
[CONTENT] activity | mic | riachin | data | concentration | strains | infusion | heart infusion | heart | ml [SUMMARY]
[CONTENT] activity | mic | riachin | data | concentration | strains | infusion | heart infusion | heart | ml [SUMMARY]
[CONTENT] Brazilian | recent years ||| [SUMMARY]
[CONTENT] Bauhinia | three | clindamycin | Escherichia | Staphylococcus [SUMMARY]
null
[CONTENT] [SUMMARY]
[CONTENT] Brazilian | recent years ||| ||| Bauhinia | three | clindamycin | Escherichia | Staphylococcus ||| ||| Riachin | P>0.05 ||| S. | P. ||| ||| ||| [SUMMARY]
[CONTENT] Brazilian | recent years ||| ||| Bauhinia | three | clindamycin | Escherichia | Staphylococcus ||| ||| Riachin | P>0.05 ||| S. | P. ||| ||| ||| [SUMMARY]
Air concentrations of volatile compounds near oil and gas production: a community-based exploratory study.
25355625
Horizontal drilling, hydraulic fracturing, and other drilling and well stimulation technologies are now used widely in the United States and increasingly in other countries. They enable increases in oil and gas production, but there has been inadequate attention to human health impacts. Air quality near oil and gas operations is an underexplored human health concern for five reasons: (1) prior focus on threats to water quality; (2) an evolving understanding of contributions of certain oil and gas production processes to air quality; (3) limited state air quality monitoring networks; (4) significant variability in air emissions and concentrations; and (5) air quality research that misses impacts important to residents. Preliminary research suggests that volatile compounds, including hazardous air pollutants, are of potential concern. This study differs from prior research in its use of a community-based process to identify sampling locations. Through this approach, we determine concentrations of volatile compounds in air near operations that reflect community concerns and point to the need for more fine-grained and frequent monitoring at points along the production life cycle.
BACKGROUND
Grab and passive air samples were collected by trained volunteers at locations identified through systematic observation of industrial operations and air impacts over the course of resident daily routines. A total of 75 volatile organics were measured using EPA Method TO-15 or TO-3 by gas chromatography/mass spectrometry. Formaldehyde levels were determined using UMEx 100 Passive Samplers.
METHODS
Levels of eight volatile chemicals exceeded federal guidelines under several operational circumstances. Benzene, formaldehyde, and hydrogen sulfide were the most common compounds to exceed acute and other health-based risk levels.
RESULTS
Air concentrations of potentially dangerous compounds and chemical mixtures are frequently present near oil and gas production sites. Community-based research can provide an important supplement to state air quality monitoring programs.
CONCLUSIONS
[ "Air Pollutants", "Community-Based Participatory Research", "Environmental Monitoring", "Extraction and Processing Industry", "Gas Chromatography-Mass Spectrometry", "Oil and Gas Fields", "United States", "Volatile Organic Compounds" ]
4216869
Background
New drilling and well stimulation technologies have led to dramatic shifts in the energy market. The Energy Information Administration forecasts that by the 2030s, the United States will become a net exporter of petroleum liquids such as shale oil [1]. Already an exporter of natural gas, the U.S. will retrieve nearly half of its gas from shale formations by that time [2]. Reserves such as shale oil and gas are referred to as “unconventional” because fuels within them do not readily flow to the surface [3]. Instead, they are distributed among tight sandstone, shale, and other geologic strata. Intensive practices are used to retrieve them, such as directional drilling (many kilometres underground and one or more kilometres horizontally through a formation) and hydraulic fracturing to break up the formation and ensure movement through source rock (using millions of gallons of water mixed with chemicals and sand, or “proppants”) [4]. These technologies present public health challenges, including threats to air quality [5–7]. Unconventional oil and gas (hereinafter “UOG”) development and production involve multiple sources of physical stressors (e.g., noise, light, and vibrations) [6], toxicants (e.g., benzene, constituents in drilling and hydraulic fracturing fluids) [8], and radiological materials (e.g., technologically-enhanced, naturally-occurring radioactive material) [9], including air emissions [10, 11]. Air quality near UOG sites is an underexplored human health concern for several reasons. For a time, environmental scientists and regulators were primarily interested in potential impacts to surface and groundwater quality. High-profile impacts and the subsurface nature of technologies (e.g., hydraulic fracturing) encouraged this research trajectory [12]. This was true despite the fact that UOG development brings to the surface, in the case of natural gas, methane (78.3%), non-methane hydrocarbons (17.8%), nitrogen (1.8%), carbon dioxide (1.5%), and hydrogen sulfide (0.5%) [13]. These constituents, as well as emissions from combustion processes at the surface, are released to the air throughout the life cycle of a productive well [14]. Air emissions from UOG operations have been generally understood for some time – volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs), and criteria air pollutants such as NOx and PM2.5 can be released at the wellhead, in controlled burns (flaring), from produced water storage pits and tanks, and by diesel-powered equipment and trucks, among other sources [15]. Yet the full range of emissions from drilling, well completion, and other activities remains elusive. New source categories are discovered, emissions from life cycle stages such as transmission and well abandonment have yet to be determined, and even stages such as drilling continue to present uncertainty [16]. We do not understand the extent of drilling-related air emissions as pockets of methane, propane, and other constituents in the subsurface are disturbed and released to the atmosphere [17]. Emissions measurements during flowback vary by orders of magnitude [18]. These and other data gaps limit the accuracy of state and federal emissions inventories, which compile and track known emissions sources. Inventories are also limited by self-reporting and data collection, and rely in some cases on outmoded emissions factors [15]. Flawed inventories constrain human health risk assessment and other research [7] and slow the identification of phenomena such as photochemical ozone production during winter months [19]. State pollution monitoring networks also constrain research on the air impacts of UOG development. Historically, air quality monitoring targeted urban areas, and criteria air pollutants such as particulate matter and ozone precursors were the primary chemicals of concern [10]. Monitoring stations were designed to ensure compliance with National Ambient Air Quality Standards (NAAQS) for a half-dozen pollutants. Even networks that focus on oil and gas emissions, such as one operated by public health officials in Garfield County, Colorado, do not target individual well pads. The Garfield County network encompasses five sites to monitor a suite of VOCs and (at three sites) particulate matter, in a jurisdiction that covers nearly 3,000 square miles of complex terrain [20]. The Texas Commission on Environmental Quality has arguably the most extensive monitoring network for UOG air emissions in oil and gas regions. Its monitors were sited to minimize urban source impacts and target locations where the public might be exposed to air emissions [21]. Still, its networks can be sparse; there are five permanent monitoring stations in the Eagle Ford Shale region, where 7,000 oil and gas wells have been drilled since 2008 [22]. These and other limited networks potentially mask local hot spots, the effects of unique topography, and fugitive emissions at certain well pads. Even a denser monitoring network taking continuous samples may be unable to capture the full range of air impacts of UOG operations. Sources of variability of air emissions and concentrations of VOCs and other pollutants near UOG sites include: (1) the spatial variability of UOG operations; (2) the discontinuous use of equipment such as diesel trucks, glycol dehydrators, separators, and compressors during preparation, drilling, hydraulic fracturing, well completion, and other stages; (3) the composition of shale and other formations and the specific constituents of the drilling and hydraulic fracturing fluids used on-site (which can influence the makeup of produced or flowback water stored in pits and tanks); (4) intermittent emissions from venting, flaring, and leaks; (5) the shifting location, spacing, and intensity of well pads in response to market conditions, improvements in technology, and regulatory changes; (6) the effects of wind, complex terrain, and microclimates; and (7) considerable differences among states in permitting, leak detection and repair, and other requirements [10, 16, 23–25]. Wind, for example, can influence outdoor and indoor concentrations of air pollutants. Brown et al. found that local air movement and mixing depth contribute to peak exposure to VOCs one mile from a compressor station [25]. Colborn et al. noted the role of wind and topography in higher VOC concentrations during winter months, when inversions trap air near ground level [10]. Fuller et al. identified wind speed and wind direction as significant predictors of indoor particulate matter levels near highways [26]. Similar variation can be found within and across geologic formations. Unconventional wells in the Barnett Shale play, for example, differ considerably in terms of reservoir quality, production rates, and recoverable gas [27]. Domestic shale gas plays exhibit even greater diversity, including depth and thickness of recoverable resources, the amount and range of chemicals present in produced water, and the presence of constituents such as bromide, naturally occurring radioactive material, hydrogen sulfide, and other toxic elements [23, 28]. These and other sources of variability, and the adaptive drilling and well completion techniques they encourage, complicate the design of setback and well spacing rules that are protective of the public. They also explain why air quality studies carried out in UOG regions yield conflicting results. For example, McKenzie et al. [11] found greater cumulative cancer risks and higher non-cancer hazard indices for residents living less than 0.5 miles from certain well pads in Colorado, while Bunch et al. [21] analyzed data from monitors focused on regional atmospheric concentrations in the Barnett Shale region and found no exceedance of health-based comparison values. Colborn et al. [10] gathered weekly, 24-hour samples 0.7 miles from a well pad in Garfield County, and noted a “great deal of variability across sampling dates in the numbers and concentrations of chemicals detected.” Eapi et al. [29] found substantial variation in fenceline concentrations of methane and hydrogen sulfide, which could not be explained by production volume, number of wells, or condensate volume at natural gas development sites. Institutional factors also influence research on ambient air quality near UOG sites. Congressional exemption of oil and gas operations from provisions of the Clean Air Act, Clean Water Act, Safe Drinking Water Act, Emergency Planning and Community Right-to-Know Act, and other statutes limits data collection on the impacts of oil and gas development [30, 31]. In addition, the peer-reviewed literature is divided between “top-down” and “bottom-up” treatments of air quality. The first set of studies explores the impact of UOG operations on regional air quality, with a concern for methane emissions and ozone precursors in regions such as the Green River Basin in Wyoming [32], the Uintah Basin in northeastern Utah [33], and the Denver-Julesburg Basin, home of the Wattenberg Field in northeastern Colorado [34]. These studies rely on airborne and tower measurements, and are at times supplemented by ground measurements such as mobile monitoring. For example, Petron et al. [35] found a strong alkane signature downwind from the Denver-Julesburg Basin, based on samples taken at a 300-m tall tower (the National Oceanic and Atmospheric Administration Boulder Atmospheric Observatory) and a mobile monitoring unit. In the Uintah Basin, where winter ozone levels exceeded the NAAQS 68 times in 2010, Helmig et al. [36] carried out vertical profiling of ozone precursors at a tower at the northern edge of a gas field. They found levels of atmospheric alkanes during temperature inversion events in 2013 that were 200–300 times greater than regional background. These and other “top-down” studies are also used to estimate methane leakage, which is helpful in comparing the climate-forcing impact of UOG to the use of coal-fired power plants. Loss rate estimates for methane and other hydrocarbons vary considerably by study, from 17% [37] (Los Angeles Basin) to 8.9% [38] (Uintah Basin) (6.2-11.7%, 95% C.I.) to 4% [35] (Denver-Julesburg Basin) (2.3-7.7%, 95% C.I.). A number of studies share the finding that EPA underestimates methane leakage rates across the life cycle (their estimate was 1.65% in 2013) [16], but others, extrapolating from emissions factors and/or direct measurement, produce estimates as low as 0.42% [18]. None of these studies attempts to characterize air concentrations within residential or publicly-accessible areas near UOG operations. Other studies follow a “bottom-up” approach to air quality, which is limited by access to well pads and other infrastructure, the availability of a power source for monitoring equipment, the stage of operation underway, scheduled or unscheduled flashing, flaring, and fugitive releases, or movement of truck traffic and equipment at or near a well pad during a given sampling period. Thus, bottom-up studies vary in terms of distance to site, sample frequency, and chemicals targeted. This helps explain the range of findings in the published literature. Nevertheless, existing research gives support to resident reports of acute and long-term health symptoms and other reductions in quality of life. Even as they offer conflicting evidence of the relative importance of one stage of production or another to air emissions [10, 11], or differ in their ultimate conclusion regarding the existence [10, 11, 14, 35, 36, 39] or lack [21, 40, 41] of human health threats from air emissions, they find VOC concentrations in ambient air considerable distances from well pads, including in residential areas and public spaces. The research questions that guide existing studies create a final barrier to our ability to characterize air emissions in UOG regions. Top-down studies are motivated by questions such as identifying sources of regional nonattainment of ozone standards, or estimating methane and other hydrocarbon leakage rates from UOG operations. Bottom-up research gathers data from one or a limited number of well pads, chosen for reasons such as access or cooperation by owners and operators. The data are used to discuss general exposure conditions for an often-hypothetical community, or used to derive a risk factor. In either mode of study, resident exposure does not directly motivate the sampling protocol. Rather, it is considered obliquely in a study’s choice of sample location (e.g., a one that is “near a small community”), assumed in measurements of concentrations within a certain distance of UOG activity, or ignored. What are missing from these studies are protocols grounded in a community’s experience of air quality impacts of UOG operations. Our multi-state air quality monitoring study uses a community-based, participatory research (CBPR) design to explore conditions near UOG operations [42]. Its sampling protocol is based not on access to a well pad, data needs conditioned by an existing averaging standard, or regional policy concerns. Rather, we partnered with residents in UOG regions to measure air quality under circumstances that, given local knowledge of operations (e.g., emissions from particular equipment or intermittent practices) gained through daily routines (e.g., regular observation of well pads) and use of public and private spaces nearby (e.g., livestock movement, farming) were viewed by community members as potential threats to human health. Existing studies often lack a data set suitable for statistical analysis. When such analyses are occasionally imposed on bottom-up data sets, they explain only a fraction of the variance in air quality outcomes. For example, the highest R2 values in a study of 66 sites, which, due to the study’s broad spatial range was limited to measurements of methane and hydrogen sulfide, were 0.26 (H2S concentration vs. condensate volume nearby) and 0.17 (H2S and number of wells nearby) [29]. CBPR studies, by comparison, are place-based – they begin with the experience of a population in order to identify environmental stressors and explore the heterogeneity of circumstances under which they arise [43, 44]. Rather than discount these circumstances for lack of statistical power, they can be used to define the scope of confirmatory studies, tailor air quality monitoring networks and studies, or suggest novel pollution control measures and best management practices.
Methods
We explore air quality at a previously neglected scale: near a range of UOG development and production sites that are the focus of community concern. Residents conducted sampling in response to operational conditions, odor events, and a history of the onset of acute symptoms. Residents selected sampling sites after they completed a training program run by Global Community Monitor (GCM), an organization that has developed and modified community-based sampling protocols for more than twenty years. Sampling is designed to obtain accurate readings of public exposure near UOG development in the part-per-billion range [45]. Training sessions followed a written manual on proper sampling protocol and included instruction by experienced members of GCM in a classroom setting for five hours. In addition, samplers were trained in the field to properly demonstrate Quality Assurance/Quality Control (QA/QC) methods, such as use of data sheets and chain of custody records, sampling procedures including not taking samples in the presence of vehicle traffic or other sources of VOCs, and protocols for storage and delivery to an analytic laboratory [45]. Chain of Custody forms provided by the laboratory were explained and filled out in exercises in which each sampler participated. The trainings for community-based air sampling and related QA/QC measures were developed in conjunction with the Environmental Protection Agency under the federal Environmental Monitoring for Public Access and Community Tracking (EMPACT) program, and refined in cooperation with agencies including the Health Services Department of Contra Costa County, California and the Delaware Department of Natural Resources [46, 47]. Any sample that did not meet QA/QC criteria was not included in the final data set. Community monitors gauged industrial activity using field log sheets (“pollution logs”) that allow each resident to record what they see, hear, feel, smell, and taste in areas downwind of industrial activity as they go about their daily routines. Each community monitor participated voluntarily in data collection for this study. They provided consent to use data gathered with questionnaires that they co-designed as well as grab and passive samplers. Residents documented activity including: (a) visible emissions drifting off-site; (b) odors that appear to derive from a site; (c) acute health symptoms that occur while in proximity to a site or during a specific industrial activity; (d) audible sounds of particular equipment in use within the boundaries of an operating well pad or related infrastructure; and (e) visible activity on-site, including the number and types of heavy trucks and tanks, vehicle traffic, workers present and job categories, and physical changes such as noise and vibrations near certain equipment. Similar to a neighborhood police watch, each resident determined locations that they would continue to observe and potentially return to for sampling. Sampling for volatile compounds other than formaldehyde was carried out using methods described in O’Rourke and Macey [48] and Larson et al. [49] using an evacuated sampling (“bucket”) vessel modelled after the Summa canister [50]. The bucket is inexpensive, portable, and consists of a 10-liter Tedlar bag and vacuum to take a grab sample of air for two to three minutes (Figure 1). Air is collected using a battery-operated pump that forces air out of the bucket. Negative pressure created inside the sealed bucket by the external vacuum pump opens the bag when a stainless steel bulkhead is opened. After taking the sample, the Tedlar bag is sealed and sent to an analytical laboratory. The bucket sampler operates on the same principle that Summa canisters employ. Rather than collect a sample in a stainless steel can, the bucket contains a special bag made of Tedlar to hold the sample. Bags are obtained from the laboratory that processes the sample and purged three times with pure nitrogen by the laboratory prior to use. GCM’s founder developed the sampling program under a project for Communities for a Better Environment, a non-profit organization founded in 1978 that provides legal, scientific, and technical assistance to heavily polluted communities. The device has been subjected to numerous validation tests organized by government agencies and independent laboratories [51–54]. Refinements include the use of field duplicates, which demonstrate no significant variation in results across comparison studies [45].Figure 1 Design of bucket grab sampling device. Design of bucket grab sampling device. Residents collected 35 grab samples at locations of community concern, under conditions that would lead them to register a complaint with relevant authorities such as a county public health department or state oil and gas commission. Health symptoms contributed to the decision to take a grab sample on 29 occasions. The most common symptoms reported by samplers were headaches (17 reports), dizziness or light-headedness (13 reports), irritated, burning, or running nose (12 reports), nausea (11 reports), and sore or irritated throat (11 reports). Further details regarding each sample are provided in Additional file 1 (Tables S1 through S5). In addition to grab samples, 41 formaldehyde badges were deployed in the five states targeting production facilities and compressor stations based on the results of pollution patrols. UMEx100 Passive Samplers for Formaldehyde are manufactured by SKC Inc. Samplers were placed near operating compressor stations and production facilities for a minimum of eight hours. Samples were ultimately collected near production pads, compressor stations, condensate tank farms, gas processing stations, and wastewater and produced water impoundments in five states (Arkansas, Colorado, Ohio, Pennsylvania, and Wyoming). The states were chosen to reflect a diverse range of urban and rural communities, operations (e.g., number of wells permitted and developed), history of development, and stages of production (see Table 1).Table 1 Oil and gas operations by state StateDrilling permits issued (year)WellsProductionSetback requirements (dwellings and occupied structures)Ambient air quality standardsDrilled (year)Producing (year)Gas (Tcf) (year)Oil (MMbbl) (year)AR~ 890 (2012)a --8,538 (gas) (2012)b 1.15 (2012)b 6.59 (2012)a 200 ft. (from produced fluids storage tanks to habitable dwelling)20 ppm (5 min.); 80 ppb (8-hr.) (H2S)c ~ 1,090 (2011)a 300 ft. (from produced fluids storage tanks to school, hospital, or other public use building)CO4,025 (2013)a --46,697 (2014)d 1.71 (2012)b 64.88 (2013)a 500 ft. (from well to home or building, absent waiver)--c, e 3,775 (2012)a 1,000 ft. (from well to high occupancy building, absent hearing and approval)OH903 (2012)a 553 (2012)a 51,739 (2012)a .084 (2012)b 4.97 (2012)a 150 ft. (occupied dwelling in urbanized area, absent consent)--c, e 690 (2011)a 150 ft. (occupied or public dwelling, non-urban area)200 ft. (occupied dwelling w/in drilling unit due to mandatory pooling)PA4,617 (2013)a 2,174 (2013)a 55,812 (2011)f 2.26 (2012)b 2.7 (2011)a 500 ft. (from well bore to building or water well)0.1 ppm (1-hr.); 0.005 ppm (24-hr.) (H2S)c, e 4,090 (2012)a WY3,230 (Sept. 2013-Aug. 2014)a --37,301 (2012)a 2.23 (2012)b 57.5 (2012)a 350 ft. (from wellhead, pumping unit, pit, production tank, and/or production equipment to residence, school, or hospital)40 μg/m3 (half-hr. ave., 2x w/in 5 days) (H2S)c, e aState agency data. bU.S. Energy Information Administration data. cIn addition to National Ambient Air Quality Standards for criteria air pollutants and federal emissions standards – new source performance standards (40 C.F.R. §§ 60.5360 - 60.5430) and national emission standards for hazardous air pollutants (40 C.F.R. §§ 63.760 - 63.777) – applicable to the oil and gas industry. dPersonal communication with state agency. eIn addition to state emissions standards (e.g., VOC emissions from glycol dehydrators; green completions; valve requirements for pneumatic devices). See, for example, Colorado Department of Public Health and Environment’s revised Air Quality Control Commission Regulation Numbers 3, 6, and 7 (adopted 23 February 2014). fEarthworks data. Oil and gas operations by state aState agency data. bU.S. Energy Information Administration data. cIn addition to National Ambient Air Quality Standards for criteria air pollutants and federal emissions standards – new source performance standards (40 C.F.R. §§ 60.5360 - 60.5430) and national emission standards for hazardous air pollutants (40 C.F.R. §§ 63.760 - 63.777) – applicable to the oil and gas industry. dPersonal communication with state agency. eIn addition to state emissions standards (e.g., VOC emissions from glycol dehydrators; green completions; valve requirements for pneumatic devices). See, for example, Colorado Department of Public Health and Environment’s revised Air Quality Control Commission Regulation Numbers 3, 6, and 7 (adopted 23 February 2014). fEarthworks data. Air samples were analyzed for 75 volatile organic compounds (VOCs), including benzene, ethylbenzene, acrylonitrile, methylene chloride, toluene, hexane, heptane, and xylene by ALS Laboratories (Simi Valley, CA 93065) using EPA Method TO-15 or TO-3 (methane) by gas chromatograph/mass spectrometer interface to a whole air preconcentrator. Formaldehyde samples were analyzed using EPA Method TO-11A, modified for the sampling device by high performance liquid chromatography with UV detection. Samples were also analyzed for 20 sulfur compounds by ASTM D 5504–08 using a gas chromatograph equipped with a sulfur chemiluminescence detector. All compounds with the exception of hydrogen sulfide and carbonyl sulfide were quantitated against the initial calibration curve for methyl mercaptan. Chemicals of concern were compared to U.S. Agency for Toxic Substances and Disease Registry (ATSDR) minimal risk levels (MRLs) and EPA Integrated Risk Information System (IRIS) cancer risk levels. MRLs are estimates of daily human exposure that can occur without appreciable risk of human health effects. They are derived for acute (1–14 days), intermediate (15–364 days), or chronic (365 days or longer) periods of exposure. The laboratory is certified by ten state departments of health or environment, the American Industrial Hygiene Association, and the U.S. Department of Defense.
Results
Table 1 shows the diverse range of operation, including number of wells permitted and developed and setbacks from housing and other occupied structures, in UOG regions where grab and passive air samples were collected through partnership with community-based organizations. Air contaminants We identified unique chemical mixtures at each sample location (see Tables S1 through S5 in Additional file 1). In addition, we identified eight volatile compounds at concentrations that exceeded ATSDR minimal risk levels (MRLs) or EPA Integrated Risk Information System (IRIS) cancer risk levels (see Table 2). Although our samples represent a single point in time, we compared concentrations to acute as well as chronic risk levels as many of the activities that generate volatile compounds near UOG operations are long-duration (the life cycle of an unconventional natural gas well can span several decades) [16]. Residents chose sample locations where odors and symptoms were the “norm” for the area, not a one-time event. In addition, a growing body of research suggests that peak (e.g., 1-hr. maximum), rather than average exposure to air emissions may better capture certain risks to human health [55–57].Table 2 ATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m 3 ) ChemicalATSDR MRLsIRIS cancer risk levelsAcuteIntermediateChronic1/1,000,0001/100,0001/10,000Benzene292010.454.5451,3 butadiene0.030.33Ethylbenzene21,7008,680260Formaldehyde4937100.080.88N-hexane2,115Hydrogen sulfide9828Toluene3,750300Xylenes8,6802,604217 ATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m 3 ) Sixteen of the 35 grab samples, and 14 of the 41 passive samples, had concentrations of volatiles that exceeded ATSDR and/or EPA IRIS levels. ATSDR MRLs and EPA IRIS levels for chemicals of concern are provided in Table 2. The chemicals that most commonly exceeded these levels were hydrogen sulfide, formaldehyde, and benzene. Background levels for these chemicals are 0.15 μg/m3 for hydrogen sulfide, 0.25 μg/m3 for formaldehyde, and 0.15 μg/m3 for benzene [58–60]. Our samples that exceeded health-based risk levels were 90–66,000× background levels for hydrogen sulfide, 30-240× background levels for formaldehyde, and 35–770,000× background levels for benzene. Details of our results are presented in Tables 3, 4, and 5 and in Figures 2, 3, and 4 (greater detail is provided in Additional file 1). A state-by-state summary follows.Table 3 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming State/IDCountyNearest infrastructureChemicalConcentration (μg/m 3)ATSDR MRLs exceededEPA IRIS cancer risk exceededWY-4586Fremont5 m from separatorHydrogen sulfide590I, An/aWY-4586Fremont5 m from separatorBenzene2,200C, I, A1/10,000WY-4586Fremont5 m from separatorToluene1,400Cn/aWY-4586Fremont5 m from separatorEthylbenzene1,200Cn/aWY-4586Fremont5 m from separatorMixed xylenes4,100C, In/aWY-4586Fremont5 m from separatorn-hexane22,000Cn/aWY-1103Fremont20 m from separatorbenzene31C, I, A1/100,000WY-2069Fremont110 m from work-over riga Hydrogen sulfide30In/aWY-4861Fremont5 m from separatorBenzene230C, I, A1/10,000WY-4861Fremont5 m from separatorMixed xylenes317Cn/aWY-4861Fremont5 m from separatorn-hexane2,500Cn/aWY-4478Park25 m from separatorHydrogen sulfide91In/aWY-4478Park25 m from separatorBenzene110,000C, I, A1/10,000WY-4478Park25 m from separatorToluene270,000C, An/aWY-4478Park25 m from separatorMixed xylenes135,000C, I, An/aWY-4478Park25 m from separatorn-hexane1,200,000Cn/aWY-129Park55 m from separatorbenzene100C, I, A1/10,000WY-3321Park5 m from compressorbenzene35C, I, A1/100,000WY-4883-005Park5 m from compressorFormaldehyde46C, I1/10,000WY-4864Park5 m from discharge canalHydrogen sulfide210I, An/aWY-4865Park10 m from discharge canalHydrogen sulfide1,200I, An/aWY-4496Park20 m from well padHydrogen sulfide6,100I, An/aWY-106ParkAdjacent to discharge canalHydrogen sulfide5,600I, An/aWY-184Park15 m from discharge canalHydrogen sulfide240I, An/aWY-187Park15 m from discharge canalHydrogen sulfide66,000I, An/aWY-187Park15 m from discharge canalBenzene23C, I1/100,000C = chronic; A = acute; I = intermediate. aInfrastructure used to pull and replace a well completion.Table 4 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas State/IDCountyNearest infrastructureChemicalConcentration (μg/m 3)ATSDR MRLs exceededEPA IRIS cancer risk exceededAR-3136-003Faulkner355 m from compressorFormaldehyde36C1/10,000AR-3136-001Cleburne42 m from compressorFormaldehyde34C1/10,000AR-3561Cleburne30 m from compressorFormaldehyde27C1/10,000AR-3562Faulkner355 m from compressorFormaldehyde28C1/10,000AR-4331Faulkner42 m from compressorFormaldehyde23C1/10,000AR-4333Faulkner237 m from compressorFormaldehyde44C, I1/10,000AR-4724Van Buren42 m from compressor1,3-butadiene8.5n/a1/10,000AR-4924Faulkner254 m from compressorFormaldehyde48C, I1/10,000C = chronic; I = intermediate.Table 5 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania State/IDCountyNearest infrastructureChemicalConcentration (μg/m 3)ATSDR MRLs exceededEPA IRIS cancer risk exceededPA-4083-003Susquehanna420 m from compressorFormaldehyde8.31/10,000PA-4083-004Susquehanna370 m from compressorFormaldehyde7.61/100,000PA-4136Washington270 m from PIG launcha Benzene5.71/100,000PA-4259-002Susquehanna790 m from compressorFormaldehyde61C, I, A1/10,000PA-4259-003Susquehanna420 m from compressorFormaldehyde59C, I, A1/10,000PA-4259-004Susquehanna230 m from compressorFormaldehyde32C1/10,000PA-4259-005Susquehanna460 m from compressorFormaldehyde34C1/10,000C = chronic; A = acute; I = intermediate. aLaunching station for pipeline cleaning or inspection tool.Figure 2 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde).Figure 3 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene.Figure 4 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming C = chronic; A = acute; I = intermediate. aInfrastructure used to pull and replace a well completion. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas C = chronic; I = intermediate. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania C = chronic; A = acute; I = intermediate. aLaunching station for pipeline cleaning or inspection tool. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde). Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene. We identified unique chemical mixtures at each sample location (see Tables S1 through S5 in Additional file 1). In addition, we identified eight volatile compounds at concentrations that exceeded ATSDR minimal risk levels (MRLs) or EPA Integrated Risk Information System (IRIS) cancer risk levels (see Table 2). Although our samples represent a single point in time, we compared concentrations to acute as well as chronic risk levels as many of the activities that generate volatile compounds near UOG operations are long-duration (the life cycle of an unconventional natural gas well can span several decades) [16]. Residents chose sample locations where odors and symptoms were the “norm” for the area, not a one-time event. In addition, a growing body of research suggests that peak (e.g., 1-hr. maximum), rather than average exposure to air emissions may better capture certain risks to human health [55–57].Table 2 ATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m 3 ) ChemicalATSDR MRLsIRIS cancer risk levelsAcuteIntermediateChronic1/1,000,0001/100,0001/10,000Benzene292010.454.5451,3 butadiene0.030.33Ethylbenzene21,7008,680260Formaldehyde4937100.080.88N-hexane2,115Hydrogen sulfide9828Toluene3,750300Xylenes8,6802,604217 ATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m 3 ) Sixteen of the 35 grab samples, and 14 of the 41 passive samples, had concentrations of volatiles that exceeded ATSDR and/or EPA IRIS levels. ATSDR MRLs and EPA IRIS levels for chemicals of concern are provided in Table 2. The chemicals that most commonly exceeded these levels were hydrogen sulfide, formaldehyde, and benzene. Background levels for these chemicals are 0.15 μg/m3 for hydrogen sulfide, 0.25 μg/m3 for formaldehyde, and 0.15 μg/m3 for benzene [58–60]. Our samples that exceeded health-based risk levels were 90–66,000× background levels for hydrogen sulfide, 30-240× background levels for formaldehyde, and 35–770,000× background levels for benzene. Details of our results are presented in Tables 3, 4, and 5 and in Figures 2, 3, and 4 (greater detail is provided in Additional file 1). A state-by-state summary follows.Table 3 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming State/IDCountyNearest infrastructureChemicalConcentration (μg/m 3)ATSDR MRLs exceededEPA IRIS cancer risk exceededWY-4586Fremont5 m from separatorHydrogen sulfide590I, An/aWY-4586Fremont5 m from separatorBenzene2,200C, I, A1/10,000WY-4586Fremont5 m from separatorToluene1,400Cn/aWY-4586Fremont5 m from separatorEthylbenzene1,200Cn/aWY-4586Fremont5 m from separatorMixed xylenes4,100C, In/aWY-4586Fremont5 m from separatorn-hexane22,000Cn/aWY-1103Fremont20 m from separatorbenzene31C, I, A1/100,000WY-2069Fremont110 m from work-over riga Hydrogen sulfide30In/aWY-4861Fremont5 m from separatorBenzene230C, I, A1/10,000WY-4861Fremont5 m from separatorMixed xylenes317Cn/aWY-4861Fremont5 m from separatorn-hexane2,500Cn/aWY-4478Park25 m from separatorHydrogen sulfide91In/aWY-4478Park25 m from separatorBenzene110,000C, I, A1/10,000WY-4478Park25 m from separatorToluene270,000C, An/aWY-4478Park25 m from separatorMixed xylenes135,000C, I, An/aWY-4478Park25 m from separatorn-hexane1,200,000Cn/aWY-129Park55 m from separatorbenzene100C, I, A1/10,000WY-3321Park5 m from compressorbenzene35C, I, A1/100,000WY-4883-005Park5 m from compressorFormaldehyde46C, I1/10,000WY-4864Park5 m from discharge canalHydrogen sulfide210I, An/aWY-4865Park10 m from discharge canalHydrogen sulfide1,200I, An/aWY-4496Park20 m from well padHydrogen sulfide6,100I, An/aWY-106ParkAdjacent to discharge canalHydrogen sulfide5,600I, An/aWY-184Park15 m from discharge canalHydrogen sulfide240I, An/aWY-187Park15 m from discharge canalHydrogen sulfide66,000I, An/aWY-187Park15 m from discharge canalBenzene23C, I1/100,000C = chronic; A = acute; I = intermediate. aInfrastructure used to pull and replace a well completion.Table 4 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas State/IDCountyNearest infrastructureChemicalConcentration (μg/m 3)ATSDR MRLs exceededEPA IRIS cancer risk exceededAR-3136-003Faulkner355 m from compressorFormaldehyde36C1/10,000AR-3136-001Cleburne42 m from compressorFormaldehyde34C1/10,000AR-3561Cleburne30 m from compressorFormaldehyde27C1/10,000AR-3562Faulkner355 m from compressorFormaldehyde28C1/10,000AR-4331Faulkner42 m from compressorFormaldehyde23C1/10,000AR-4333Faulkner237 m from compressorFormaldehyde44C, I1/10,000AR-4724Van Buren42 m from compressor1,3-butadiene8.5n/a1/10,000AR-4924Faulkner254 m from compressorFormaldehyde48C, I1/10,000C = chronic; I = intermediate.Table 5 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania State/IDCountyNearest infrastructureChemicalConcentration (μg/m 3)ATSDR MRLs exceededEPA IRIS cancer risk exceededPA-4083-003Susquehanna420 m from compressorFormaldehyde8.31/10,000PA-4083-004Susquehanna370 m from compressorFormaldehyde7.61/100,000PA-4136Washington270 m from PIG launcha Benzene5.71/100,000PA-4259-002Susquehanna790 m from compressorFormaldehyde61C, I, A1/10,000PA-4259-003Susquehanna420 m from compressorFormaldehyde59C, I, A1/10,000PA-4259-004Susquehanna230 m from compressorFormaldehyde32C1/10,000PA-4259-005Susquehanna460 m from compressorFormaldehyde34C1/10,000C = chronic; A = acute; I = intermediate. aLaunching station for pipeline cleaning or inspection tool.Figure 2 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde).Figure 3 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene.Figure 4 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming C = chronic; A = acute; I = intermediate. aInfrastructure used to pull and replace a well completion. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas C = chronic; I = intermediate. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania C = chronic; A = acute; I = intermediate. aLaunching station for pipeline cleaning or inspection tool. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde). Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene. Wyoming (Park County) Nine of the ten grab samples contained volatiles above ATSDR MRLs or EPA IRIS risk levels. Seven contained high concentrations of hydrogen sulfide (one was over 600× the ATSDR acute MRL) and three contained high levels of benzene, including one over 12,000× the ATSDR acute MRL. The sample with the highest benzene concentrations also contained 480,000 micrograms per cubic meter of heptane, 3,100,000 micrograms per cubic meter of pentane, and 4,100,000 micrograms per cubic meter of butane, all hydrocarbons that are frequently associated with methane. These hydrocarbon concentrations exceeded occupational health standards (NIOSH recommended exposure limits). Four of the seven samples with high levels of hydrogen sulfide were taken in northeast Park County (near Deaver), and three of the four samples with high benzene levels were taken in northwest Park County (near Clark). One of the five passive samples contained formaldehyde at levels that exceeded ATSDR MRLs and the 1/10,000 cancer risk level (Table 3, Figure 2). Nine of the ten grab samples contained volatiles above ATSDR MRLs or EPA IRIS risk levels. Seven contained high concentrations of hydrogen sulfide (one was over 600× the ATSDR acute MRL) and three contained high levels of benzene, including one over 12,000× the ATSDR acute MRL. The sample with the highest benzene concentrations also contained 480,000 micrograms per cubic meter of heptane, 3,100,000 micrograms per cubic meter of pentane, and 4,100,000 micrograms per cubic meter of butane, all hydrocarbons that are frequently associated with methane. These hydrocarbon concentrations exceeded occupational health standards (NIOSH recommended exposure limits). Four of the seven samples with high levels of hydrogen sulfide were taken in northeast Park County (near Deaver), and three of the four samples with high benzene levels were taken in northwest Park County (near Clark). One of the five passive samples contained formaldehyde at levels that exceeded ATSDR MRLs and the 1/10,000 cancer risk level (Table 3, Figure 2). Wyoming (Fremont County) Four of the five grab samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS risk levels. One sample contained six volatiles exceeding these levels, including benzene at 75× the ATSDR acute MRL and 22× the EPA IRIS 1/10,000 cancer risk level. A second sample contained three volatiles exceeding ATSDR or EPA IRIS levels and also contained 4,167,000 micrograms per cubic meter of methane, an amount that exceeds its occupational health standard (Threshold Limit Value). None of the passive samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS cancer risk levels (Table 3, Figure 2). Four of the five grab samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS risk levels. One sample contained six volatiles exceeding these levels, including benzene at 75× the ATSDR acute MRL and 22× the EPA IRIS 1/10,000 cancer risk level. A second sample contained three volatiles exceeding ATSDR or EPA IRIS levels and also contained 4,167,000 micrograms per cubic meter of methane, an amount that exceeds its occupational health standard (Threshold Limit Value). None of the passive samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS cancer risk levels (Table 3, Figure 2). Arkansas (Cleburne, Faulkner, and Van Buren Counties) One of the 8 grab samples, and 7 of the 13 passive samples, contained volatiles above ATSDR MRLs or EPA IRIS risk levels. One of the passive samples (taken at a residence) had formaldehyde levels that were close to the ATSDR MRL and exceeded EPA’s 1/10,000 cancer risk level (Table 4, Figure 3). One of the 8 grab samples, and 7 of the 13 passive samples, contained volatiles above ATSDR MRLs or EPA IRIS risk levels. One of the passive samples (taken at a residence) had formaldehyde levels that were close to the ATSDR MRL and exceeded EPA’s 1/10,000 cancer risk level (Table 4, Figure 3). Pennsylvania (Susquehanna County) One of the four grab samples contained benzene at concentrations that exceeded the EPA 1/100,000 cancer risk level. Six of the ten passive samples contained formaldehyde at levels that exceeded ATSDR MRLs or EPA IRIS risk levels. Two of the samples exceeded both the acute MRL and the 1/10,000 cancer risk level (Table 5, Figure 4). One of the four grab samples contained benzene at concentrations that exceeded the EPA 1/100,000 cancer risk level. Six of the ten passive samples contained formaldehyde at levels that exceeded ATSDR MRLs or EPA IRIS risk levels. Two of the samples exceeded both the acute MRL and the 1/10,000 cancer risk level (Table 5, Figure 4). Colorado (Boulder and Weld Counties) One of the five grab samples contained 41 micrograms per cubic meter of hydrogen sulfide and exceeded the ATSDR intermediate MRL. None of the passive samples had volatiles exceeding the ATSDR MRLs or EPA IRIS risk levels. One of the five grab samples contained 41 micrograms per cubic meter of hydrogen sulfide and exceeded the ATSDR intermediate MRL. None of the passive samples had volatiles exceeding the ATSDR MRLs or EPA IRIS risk levels. Ohio (Athens, Carroll, and Trumbull Counties) None of the four grab samples or five passive samples contained volatiles at concentrations that exceeded the ATSDR MRLs or EPA IRIS risk levels. None of the four grab samples or five passive samples contained volatiles at concentrations that exceeded the ATSDR MRLs or EPA IRIS risk levels. State air quality monitoring survey We reviewed air quality monitoring by state agencies in the five states covered by our sampling. We reviewed one study in Arkansas, seven in Colorado, one in Ohio, four in Pennsylvania, and one in Wyoming. Most of the studies measured VOC levels, two included hydrogen sulfide, and seven included methane and/or other hydrocarbons. Sampling durations ranged from four hours to 24 months; five of the studies lasted more than four weeks. Target compounds were detected in all studies that have been completed, including mixtures of 42 non-methane VOCs. None of the studies concluded that detected compounds posed significant human health risk (Table 6).Table 6 Five-state survey of air quality monitoring studies, unconventional oil and gas operations Agency (year)Target compoundSampling equipmentSample sitesDurationRepresentative findingsADEQ (2011)VOCs (total)NONO2 PID (fixed)PID (handheld)4 compressor stations6 drilling sites3 well sites (fracking)1 upwind1 d (4–6 hrs.)VOCs “almost always below or near detection limits”VOCs at drilling sites elevated (ave. 38–678 ppb; max. 350–5,321 ppb)NO/NO2 rarely exceed detection limitsCDPHE (2012)NMOCs (78)MethaneCanister1 well pad (Erie)3 wks.Detects = 42 of 78 compounds in >75% of samplesBenzene “well within EPA’s acceptable cancer risk range”Acute and chronic HQs “well below” 1CDPHE (2009)NMOCs (78)VOCsPM2.5 CanisterPID (handheld)Filter (handheld)8 wells (4 drilling, 4 completion)1 dTotal NMOC ave. 273 – 8,761 ppb at 8 sitesTotal VOC ave. 6–3,023 ppb at 8 sitesPM2.5 ave. 7.3 - 16.7 μg/m3 at 8 sitesCDPHE, GCPHD (2007)VOCs (43)PM10 CanisterFilter14 sites7 sites24 mos.Detects = 15 of 43 compoundsBenzene ave. 28.2 μg/m3, max 180 μg/m3 (grab)Toluene ave. 91.4 μg/m3, max 540 μg/m3 (grab)CDPHE (2003–2012)NMOCsCarbonylsCanister5 sites (2003)6 sites (2006)3+ sites (2012)2 mos.Methane ave. 2,535 ppb (Platteville) vs. (1,780 ppb Denver)Top NMOCs in Platteville = ethane, propane, butaneBenzene, toluene higher in PlattevilleCDPHE (2002)VOCs (42)SO2 NO, NO2 CanisterContinuous2 well sites1 residential1 active flare2 up-, down-valley1 background1 mo.Detects = 6 of 42 VOCsBenzene in 6 of 20 (2.2-6.5 μg/m3)Toluene in 18 of 20 (1.5-17 μg/m3)OEPA (2014)VOCs (69)VOCsPM10/PM2.5 H2SCOCanisterGC/MSFilter1 well site1 remote site12 mos.Ongoing; data update provided in February 2014Detects include BTEX, alkanes (e.g., ethane, hexane), H2SSecond site planned near processing plantPA DEP (2010)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 condensate tank1 wastewater impoundment1 background5 wks.Detects include methane, ethane, propane, benzene (max. 758 ppb)No conc.’s “that would likely trigger air-related health issues”Fugitive gas stream emissionsPA DEP (2011)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 completed well1 well site (fracking)1 well (tanks, separator)1 background4 wks.Detects include BTEX (benzene max. 400 ppb), methylbenzenesNo conc.’s “that would likely trigger air-related health issues”Fugitive emissions from condensate tanks, pipingPA DEP (2011)VOCs (48)AlkanesCanisterOP-FTIRGC/MS2 compressor stations1 well site (flaring)1 well site (drilling)1 background4 wks.Detects include benzene (max. 400 ppb), toluene, ethylbenzeneNatural gas constituent detects near compressor stationsConc.’s “do not indicate a potential for major air-related health issues”PA DEP (2012)CriteriaVOCs/HAPsMethaneH2S“Full suite”1 gas processing2 large compressor stations1 background12 mos.Ongoing; report due in 2014WDEQ (2013)VOCs/NMHCsOzoneMethaneNO, NO2 PM10/PM2.5 CanisterUV PhotometricFIDChemiluminescenceBeta Attenuation7 permanent stations (e.g., Boulder, Juel Spring, Moxa)3 mesonet stations (Mesa, Paradise Warbonnet)2 mobile trailer locations (Big Piney, Jonah Field)OngoingWDEQ mobile monitors placed at locations w/ oil & gas developmentMini-SODAR also placed adjacent to Boulder permanent station“Relatively low concentrations” of VOCs found in canister samplesVOCs “consistently higher” at Paradise site (near oil & gas sources)BTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound. Five-state survey of air quality monitoring studies, unconventional oil and gas operations BTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound. We reviewed air quality monitoring by state agencies in the five states covered by our sampling. We reviewed one study in Arkansas, seven in Colorado, one in Ohio, four in Pennsylvania, and one in Wyoming. Most of the studies measured VOC levels, two included hydrogen sulfide, and seven included methane and/or other hydrocarbons. Sampling durations ranged from four hours to 24 months; five of the studies lasted more than four weeks. Target compounds were detected in all studies that have been completed, including mixtures of 42 non-methane VOCs. None of the studies concluded that detected compounds posed significant human health risk (Table 6).Table 6 Five-state survey of air quality monitoring studies, unconventional oil and gas operations Agency (year)Target compoundSampling equipmentSample sitesDurationRepresentative findingsADEQ (2011)VOCs (total)NONO2 PID (fixed)PID (handheld)4 compressor stations6 drilling sites3 well sites (fracking)1 upwind1 d (4–6 hrs.)VOCs “almost always below or near detection limits”VOCs at drilling sites elevated (ave. 38–678 ppb; max. 350–5,321 ppb)NO/NO2 rarely exceed detection limitsCDPHE (2012)NMOCs (78)MethaneCanister1 well pad (Erie)3 wks.Detects = 42 of 78 compounds in >75% of samplesBenzene “well within EPA’s acceptable cancer risk range”Acute and chronic HQs “well below” 1CDPHE (2009)NMOCs (78)VOCsPM2.5 CanisterPID (handheld)Filter (handheld)8 wells (4 drilling, 4 completion)1 dTotal NMOC ave. 273 – 8,761 ppb at 8 sitesTotal VOC ave. 6–3,023 ppb at 8 sitesPM2.5 ave. 7.3 - 16.7 μg/m3 at 8 sitesCDPHE, GCPHD (2007)VOCs (43)PM10 CanisterFilter14 sites7 sites24 mos.Detects = 15 of 43 compoundsBenzene ave. 28.2 μg/m3, max 180 μg/m3 (grab)Toluene ave. 91.4 μg/m3, max 540 μg/m3 (grab)CDPHE (2003–2012)NMOCsCarbonylsCanister5 sites (2003)6 sites (2006)3+ sites (2012)2 mos.Methane ave. 2,535 ppb (Platteville) vs. (1,780 ppb Denver)Top NMOCs in Platteville = ethane, propane, butaneBenzene, toluene higher in PlattevilleCDPHE (2002)VOCs (42)SO2 NO, NO2 CanisterContinuous2 well sites1 residential1 active flare2 up-, down-valley1 background1 mo.Detects = 6 of 42 VOCsBenzene in 6 of 20 (2.2-6.5 μg/m3)Toluene in 18 of 20 (1.5-17 μg/m3)OEPA (2014)VOCs (69)VOCsPM10/PM2.5 H2SCOCanisterGC/MSFilter1 well site1 remote site12 mos.Ongoing; data update provided in February 2014Detects include BTEX, alkanes (e.g., ethane, hexane), H2SSecond site planned near processing plantPA DEP (2010)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 condensate tank1 wastewater impoundment1 background5 wks.Detects include methane, ethane, propane, benzene (max. 758 ppb)No conc.’s “that would likely trigger air-related health issues”Fugitive gas stream emissionsPA DEP (2011)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 completed well1 well site (fracking)1 well (tanks, separator)1 background4 wks.Detects include BTEX (benzene max. 400 ppb), methylbenzenesNo conc.’s “that would likely trigger air-related health issues”Fugitive emissions from condensate tanks, pipingPA DEP (2011)VOCs (48)AlkanesCanisterOP-FTIRGC/MS2 compressor stations1 well site (flaring)1 well site (drilling)1 background4 wks.Detects include benzene (max. 400 ppb), toluene, ethylbenzeneNatural gas constituent detects near compressor stationsConc.’s “do not indicate a potential for major air-related health issues”PA DEP (2012)CriteriaVOCs/HAPsMethaneH2S“Full suite”1 gas processing2 large compressor stations1 background12 mos.Ongoing; report due in 2014WDEQ (2013)VOCs/NMHCsOzoneMethaneNO, NO2 PM10/PM2.5 CanisterUV PhotometricFIDChemiluminescenceBeta Attenuation7 permanent stations (e.g., Boulder, Juel Spring, Moxa)3 mesonet stations (Mesa, Paradise Warbonnet)2 mobile trailer locations (Big Piney, Jonah Field)OngoingWDEQ mobile monitors placed at locations w/ oil & gas developmentMini-SODAR also placed adjacent to Boulder permanent station“Relatively low concentrations” of VOCs found in canister samplesVOCs “consistently higher” at Paradise site (near oil & gas sources)BTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound. Five-state survey of air quality monitoring studies, unconventional oil and gas operations BTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound.
Conclusions
Community-based monitoring near unconventional oil and gas operations demonstrates elevations in concentrations of hazardous air pollutants under a range of circumstances. Of special concern are high concentrations of benzene, hydrogen sulfide, and formaldehyde, as well as chemical mixtures linked to operations with observed impacts to resident quality of life.
[ "Background", "Air contaminants", "Wyoming (Park County)", "Wyoming (Fremont County)", "Arkansas (Cleburne, Faulkner, and Van Buren Counties)", "Pennsylvania (Susquehanna County)", "Colorado (Boulder and Weld Counties)", "Ohio (Athens, Carroll, and Trumbull Counties)", "State air quality monitoring survey", "" ]
[ "New drilling and well stimulation technologies have led to dramatic shifts in the energy market. The Energy Information Administration forecasts that by the 2030s, the United States will become a net exporter of petroleum liquids such as shale oil [1]. Already an exporter of natural gas, the U.S. will retrieve nearly half of its gas from shale formations by that time [2]. Reserves such as shale oil and gas are referred to as “unconventional” because fuels within them do not readily flow to the surface [3]. Instead, they are distributed among tight sandstone, shale, and other geologic strata. Intensive practices are used to retrieve them, such as directional drilling (many kilometres underground and one or more kilometres horizontally through a formation) and hydraulic fracturing to break up the formation and ensure movement through source rock (using millions of gallons of water mixed with chemicals and sand, or “proppants”) [4]. These technologies present public health challenges, including threats to air quality [5–7].\nUnconventional oil and gas (hereinafter “UOG”) development and production involve multiple sources of physical stressors (e.g., noise, light, and vibrations) [6], toxicants (e.g., benzene, constituents in drilling and hydraulic fracturing fluids) [8], and radiological materials (e.g., technologically-enhanced, naturally-occurring radioactive material) [9], including air emissions [10, 11]. Air quality near UOG sites is an underexplored human health concern for several reasons. For a time, environmental scientists and regulators were primarily interested in potential impacts to surface and groundwater quality. High-profile impacts and the subsurface nature of technologies (e.g., hydraulic fracturing) encouraged this research trajectory [12]. This was true despite the fact that UOG development brings to the surface, in the case of natural gas, methane (78.3%), non-methane hydrocarbons (17.8%), nitrogen (1.8%), carbon dioxide (1.5%), and hydrogen sulfide (0.5%) [13]. These constituents, as well as emissions from combustion processes at the surface, are released to the air throughout the life cycle of a productive well [14].\nAir emissions from UOG operations have been generally understood for some time – volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs), and criteria air pollutants such as NOx and PM2.5 can be released at the wellhead, in controlled burns (flaring), from produced water storage pits and tanks, and by diesel-powered equipment and trucks, among other sources [15]. Yet the full range of emissions from drilling, well completion, and other activities remains elusive. New source categories are discovered, emissions from life cycle stages such as transmission and well abandonment have yet to be determined, and even stages such as drilling continue to present uncertainty [16]. We do not understand the extent of drilling-related air emissions as pockets of methane, propane, and other constituents in the subsurface are disturbed and released to the atmosphere [17]. Emissions measurements during flowback vary by orders of magnitude [18]. These and other data gaps limit the accuracy of state and federal emissions inventories, which compile and track known emissions sources. Inventories are also limited by self-reporting and data collection, and rely in some cases on outmoded emissions factors [15]. Flawed inventories constrain human health risk assessment and other research [7] and slow the identification of phenomena such as photochemical ozone production during winter months [19].\nState pollution monitoring networks also constrain research on the air impacts of UOG development. Historically, air quality monitoring targeted urban areas, and criteria air pollutants such as particulate matter and ozone precursors were the primary chemicals of concern [10]. Monitoring stations were designed to ensure compliance with National Ambient Air Quality Standards (NAAQS) for a half-dozen pollutants. Even networks that focus on oil and gas emissions, such as one operated by public health officials in Garfield County, Colorado, do not target individual well pads. The Garfield County network encompasses five sites to monitor a suite of VOCs and (at three sites) particulate matter, in a jurisdiction that covers nearly 3,000 square miles of complex terrain [20]. The Texas Commission on Environmental Quality has arguably the most extensive monitoring network for UOG air emissions in oil and gas regions. Its monitors were sited to minimize urban source impacts and target locations where the public might be exposed to air emissions [21]. Still, its networks can be sparse; there are five permanent monitoring stations in the Eagle Ford Shale region, where 7,000 oil and gas wells have been drilled since 2008 [22]. These and other limited networks potentially mask local hot spots, the effects of unique topography, and fugitive emissions at certain well pads.\nEven a denser monitoring network taking continuous samples may be unable to capture the full range of air impacts of UOG operations. Sources of variability of air emissions and concentrations of VOCs and other pollutants near UOG sites include: (1) the spatial variability of UOG operations; (2) the discontinuous use of equipment such as diesel trucks, glycol dehydrators, separators, and compressors during preparation, drilling, hydraulic fracturing, well completion, and other stages; (3) the composition of shale and other formations and the specific constituents of the drilling and hydraulic fracturing fluids used on-site (which can influence the makeup of produced or flowback water stored in pits and tanks); (4) intermittent emissions from venting, flaring, and leaks; (5) the shifting location, spacing, and intensity of well pads in response to market conditions, improvements in technology, and regulatory changes; (6) the effects of wind, complex terrain, and microclimates; and (7) considerable differences among states in permitting, leak detection and repair, and other requirements [10, 16, 23–25]. Wind, for example, can influence outdoor and indoor concentrations of air pollutants. Brown et al. found that local air movement and mixing depth contribute to peak exposure to VOCs one mile from a compressor station [25]. Colborn et al. noted the role of wind and topography in higher VOC concentrations during winter months, when inversions trap air near ground level [10]. Fuller et al. identified wind speed and wind direction as significant predictors of indoor particulate matter levels near highways [26]. Similar variation can be found within and across geologic formations. Unconventional wells in the Barnett Shale play, for example, differ considerably in terms of reservoir quality, production rates, and recoverable gas [27]. Domestic shale gas plays exhibit even greater diversity, including depth and thickness of recoverable resources, the amount and range of chemicals present in produced water, and the presence of constituents such as bromide, naturally occurring radioactive material, hydrogen sulfide, and other toxic elements [23, 28].\nThese and other sources of variability, and the adaptive drilling and well completion techniques they encourage, complicate the design of setback and well spacing rules that are protective of the public. They also explain why air quality studies carried out in UOG regions yield conflicting results. For example, McKenzie et al. [11] found greater cumulative cancer risks and higher non-cancer hazard indices for residents living less than 0.5 miles from certain well pads in Colorado, while Bunch et al. [21] analyzed data from monitors focused on regional atmospheric concentrations in the Barnett Shale region and found no exceedance of health-based comparison values. Colborn et al. [10] gathered weekly, 24-hour samples 0.7 miles from a well pad in Garfield County, and noted a “great deal of variability across sampling dates in the numbers and concentrations of chemicals detected.” Eapi et al. [29] found substantial variation in fenceline concentrations of methane and hydrogen sulfide, which could not be explained by production volume, number of wells, or condensate volume at natural gas development sites.\nInstitutional factors also influence research on ambient air quality near UOG sites. Congressional exemption of oil and gas operations from provisions of the Clean Air Act, Clean Water Act, Safe Drinking Water Act, Emergency Planning and Community Right-to-Know Act, and other statutes limits data collection on the impacts of oil and gas development [30, 31]. In addition, the peer-reviewed literature is divided between “top-down” and “bottom-up” treatments of air quality. The first set of studies explores the impact of UOG operations on regional air quality, with a concern for methane emissions and ozone precursors in regions such as the Green River Basin in Wyoming [32], the Uintah Basin in northeastern Utah [33], and the Denver-Julesburg Basin, home of the Wattenberg Field in northeastern Colorado [34]. These studies rely on airborne and tower measurements, and are at times supplemented by ground measurements such as mobile monitoring.\nFor example, Petron et al. [35] found a strong alkane signature downwind from the Denver-Julesburg Basin, based on samples taken at a 300-m tall tower (the National Oceanic and Atmospheric Administration Boulder Atmospheric Observatory) and a mobile monitoring unit. In the Uintah Basin, where winter ozone levels exceeded the NAAQS 68 times in 2010, Helmig et al. [36] carried out vertical profiling of ozone precursors at a tower at the northern edge of a gas field. They found levels of atmospheric alkanes during temperature inversion events in 2013 that were 200–300 times greater than regional background. These and other “top-down” studies are also used to estimate methane leakage, which is helpful in comparing the climate-forcing impact of UOG to the use of coal-fired power plants. Loss rate estimates for methane and other hydrocarbons vary considerably by study, from 17% [37] (Los Angeles Basin) to 8.9% [38] (Uintah Basin) (6.2-11.7%, 95% C.I.) to 4% [35] (Denver-Julesburg Basin) (2.3-7.7%, 95% C.I.). A number of studies share the finding that EPA underestimates methane leakage rates across the life cycle (their estimate was 1.65% in 2013) [16], but others, extrapolating from emissions factors and/or direct measurement, produce estimates as low as 0.42% [18]. None of these studies attempts to characterize air concentrations within residential or publicly-accessible areas near UOG operations.\nOther studies follow a “bottom-up” approach to air quality, which is limited by access to well pads and other infrastructure, the availability of a power source for monitoring equipment, the stage of operation underway, scheduled or unscheduled flashing, flaring, and fugitive releases, or movement of truck traffic and equipment at or near a well pad during a given sampling period. Thus, bottom-up studies vary in terms of distance to site, sample frequency, and chemicals targeted. This helps explain the range of findings in the published literature. Nevertheless, existing research gives support to resident reports of acute and long-term health symptoms and other reductions in quality of life. Even as they offer conflicting evidence of the relative importance of one stage of production or another to air emissions [10, 11], or differ in their ultimate conclusion regarding the existence [10, 11, 14, 35, 36, 39] or lack [21, 40, 41] of human health threats from air emissions, they find VOC concentrations in ambient air considerable distances from well pads, including in residential areas and public spaces.\nThe research questions that guide existing studies create a final barrier to our ability to characterize air emissions in UOG regions. Top-down studies are motivated by questions such as identifying sources of regional nonattainment of ozone standards, or estimating methane and other hydrocarbon leakage rates from UOG operations. Bottom-up research gathers data from one or a limited number of well pads, chosen for reasons such as access or cooperation by owners and operators. The data are used to discuss general exposure conditions for an often-hypothetical community, or used to derive a risk factor. In either mode of study, resident exposure does not directly motivate the sampling protocol. Rather, it is considered obliquely in a study’s choice of sample location (e.g., a one that is “near a small community”), assumed in measurements of concentrations within a certain distance of UOG activity, or ignored. What are missing from these studies are protocols grounded in a community’s experience of air quality impacts of UOG operations.\nOur multi-state air quality monitoring study uses a community-based, participatory research (CBPR) design to explore conditions near UOG operations [42]. Its sampling protocol is based not on access to a well pad, data needs conditioned by an existing averaging standard, or regional policy concerns. Rather, we partnered with residents in UOG regions to measure air quality under circumstances that, given local knowledge of operations (e.g., emissions from particular equipment or intermittent practices) gained through daily routines (e.g., regular observation of well pads) and use of public and private spaces nearby (e.g., livestock movement, farming) were viewed by community members as potential threats to human health. Existing studies often lack a data set suitable for statistical analysis. When such analyses are occasionally imposed on bottom-up data sets, they explain only a fraction of the variance in air quality outcomes. For example, the highest R2 values in a study of 66 sites, which, due to the study’s broad spatial range was limited to measurements of methane and hydrogen sulfide, were 0.26 (H2S concentration vs. condensate volume nearby) and 0.17 (H2S and number of wells nearby) [29]. CBPR studies, by comparison, are place-based – they begin with the experience of a population in order to identify environmental stressors and explore the heterogeneity of circumstances under which they arise [43, 44]. Rather than discount these circumstances for lack of statistical power, they can be used to define the scope of confirmatory studies, tailor air quality monitoring networks and studies, or suggest novel pollution control measures and best management practices.", "We identified unique chemical mixtures at each sample location (see Tables S1 through S5 in Additional file 1). In addition, we identified eight volatile compounds at concentrations that exceeded ATSDR minimal risk levels (MRLs) or EPA Integrated Risk Information System (IRIS) cancer risk levels (see Table 2). Although our samples represent a single point in time, we compared concentrations to acute as well as chronic risk levels as many of the activities that generate volatile compounds near UOG operations are long-duration (the life cycle of an unconventional natural gas well can span several decades) [16]. Residents chose sample locations where odors and symptoms were the “norm” for the area, not a one-time event. In addition, a growing body of research suggests that peak (e.g., 1-hr. maximum), rather than average exposure to air emissions may better capture certain risks to human health [55–57].Table 2\nATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m\n3\n)\nChemicalATSDR MRLsIRIS cancer risk levelsAcuteIntermediateChronic1/1,000,0001/100,0001/10,000Benzene292010.454.5451,3 butadiene0.030.33Ethylbenzene21,7008,680260Formaldehyde4937100.080.88N-hexane2,115Hydrogen sulfide9828Toluene3,750300Xylenes8,6802,604217\n\nATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m\n3\n)\n\nSixteen of the 35 grab samples, and 14 of the 41 passive samples, had concentrations of volatiles that exceeded ATSDR and/or EPA IRIS levels. ATSDR MRLs and EPA IRIS levels for chemicals of concern are provided in Table 2. The chemicals that most commonly exceeded these levels were hydrogen sulfide, formaldehyde, and benzene. Background levels for these chemicals are 0.15 μg/m3 for hydrogen sulfide, 0.25 μg/m3 for formaldehyde, and 0.15 μg/m3 for benzene [58–60]. Our samples that exceeded health-based risk levels were 90–66,000× background levels for hydrogen sulfide, 30-240× background levels for formaldehyde, and 35–770,000× background levels for benzene. Details of our results are presented in Tables 3, 4, and 5 and in Figures 2, 3, and 4 (greater detail is provided in Additional file 1). A state-by-state summary follows.Table 3\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming\nState/IDCountyNearest infrastructureChemicalConcentration (μg/m\n3)ATSDR MRLs exceededEPA IRIS cancer risk exceededWY-4586Fremont5 m from separatorHydrogen sulfide590I, An/aWY-4586Fremont5 m from separatorBenzene2,200C, I, A1/10,000WY-4586Fremont5 m from separatorToluene1,400Cn/aWY-4586Fremont5 m from separatorEthylbenzene1,200Cn/aWY-4586Fremont5 m from separatorMixed xylenes4,100C, In/aWY-4586Fremont5 m from separatorn-hexane22,000Cn/aWY-1103Fremont20 m from separatorbenzene31C, I, A1/100,000WY-2069Fremont110 m from work-over riga\nHydrogen sulfide30In/aWY-4861Fremont5 m from separatorBenzene230C, I, A1/10,000WY-4861Fremont5 m from separatorMixed xylenes317Cn/aWY-4861Fremont5 m from separatorn-hexane2,500Cn/aWY-4478Park25 m from separatorHydrogen sulfide91In/aWY-4478Park25 m from separatorBenzene110,000C, I, A1/10,000WY-4478Park25 m from separatorToluene270,000C, An/aWY-4478Park25 m from separatorMixed xylenes135,000C, I, An/aWY-4478Park25 m from separatorn-hexane1,200,000Cn/aWY-129Park55 m from separatorbenzene100C, I, A1/10,000WY-3321Park5 m from compressorbenzene35C, I, A1/100,000WY-4883-005Park5 m from compressorFormaldehyde46C, I1/10,000WY-4864Park5 m from discharge canalHydrogen sulfide210I, An/aWY-4865Park10 m from discharge canalHydrogen sulfide1,200I, An/aWY-4496Park20 m from well padHydrogen sulfide6,100I, An/aWY-106ParkAdjacent to discharge canalHydrogen sulfide5,600I, An/aWY-184Park15 m from discharge canalHydrogen sulfide240I, An/aWY-187Park15 m from discharge canalHydrogen sulfide66,000I, An/aWY-187Park15 m from discharge canalBenzene23C, I1/100,000C = chronic; A = acute; I = intermediate.\naInfrastructure used to pull and replace a well completion.Table 4\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas\nState/IDCountyNearest infrastructureChemicalConcentration (μg/m\n3)ATSDR MRLs exceededEPA IRIS cancer risk exceededAR-3136-003Faulkner355 m from compressorFormaldehyde36C1/10,000AR-3136-001Cleburne42 m from compressorFormaldehyde34C1/10,000AR-3561Cleburne30 m from compressorFormaldehyde27C1/10,000AR-3562Faulkner355 m from compressorFormaldehyde28C1/10,000AR-4331Faulkner42 m from compressorFormaldehyde23C1/10,000AR-4333Faulkner237 m from compressorFormaldehyde44C, I1/10,000AR-4724Van Buren42 m from compressor1,3-butadiene8.5n/a1/10,000AR-4924Faulkner254 m from compressorFormaldehyde48C, I1/10,000C = chronic; I = intermediate.Table 5\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania\nState/IDCountyNearest infrastructureChemicalConcentration (μg/m\n3)ATSDR MRLs exceededEPA IRIS cancer risk exceededPA-4083-003Susquehanna420 m from compressorFormaldehyde8.31/10,000PA-4083-004Susquehanna370 m from compressorFormaldehyde7.61/100,000PA-4136Washington270 m from PIG launcha\nBenzene5.71/100,000PA-4259-002Susquehanna790 m from compressorFormaldehyde61C, I, A1/10,000PA-4259-003Susquehanna420 m from compressorFormaldehyde59C, I, A1/10,000PA-4259-004Susquehanna230 m from compressorFormaldehyde32C1/10,000PA-4259-005Susquehanna460 m from compressorFormaldehyde34C1/10,000C = chronic; A = acute; I = intermediate.\naLaunching station for pipeline cleaning or inspection tool.Figure 2\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde).Figure 3\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene.Figure 4\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming\n\nC = chronic; A = acute; I = intermediate.\n\naInfrastructure used to pull and replace a well completion.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas\n\nC = chronic; I = intermediate.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania\n\nC = chronic; A = acute; I = intermediate.\n\naLaunching station for pipeline cleaning or inspection tool.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde).\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene.", "Nine of the ten grab samples contained volatiles above ATSDR MRLs or EPA IRIS risk levels. Seven contained high concentrations of hydrogen sulfide (one was over 600× the ATSDR acute MRL) and three contained high levels of benzene, including one over 12,000× the ATSDR acute MRL. The sample with the highest benzene concentrations also contained 480,000 micrograms per cubic meter of heptane, 3,100,000 micrograms per cubic meter of pentane, and 4,100,000 micrograms per cubic meter of butane, all hydrocarbons that are frequently associated with methane. These hydrocarbon concentrations exceeded occupational health standards (NIOSH recommended exposure limits). Four of the seven samples with high levels of hydrogen sulfide were taken in northeast Park County (near Deaver), and three of the four samples with high benzene levels were taken in northwest Park County (near Clark). One of the five passive samples contained formaldehyde at levels that exceeded ATSDR MRLs and the 1/10,000 cancer risk level (Table 3, Figure 2).", "Four of the five grab samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS risk levels. One sample contained six volatiles exceeding these levels, including benzene at 75× the ATSDR acute MRL and 22× the EPA IRIS 1/10,000 cancer risk level. A second sample contained three volatiles exceeding ATSDR or EPA IRIS levels and also contained 4,167,000 micrograms per cubic meter of methane, an amount that exceeds its occupational health standard (Threshold Limit Value). None of the passive samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS cancer risk levels (Table 3, Figure 2).", "One of the 8 grab samples, and 7 of the 13 passive samples, contained volatiles above ATSDR MRLs or EPA IRIS risk levels. One of the passive samples (taken at a residence) had formaldehyde levels that were close to the ATSDR MRL and exceeded EPA’s 1/10,000 cancer risk level (Table 4, Figure 3).", "One of the four grab samples contained benzene at concentrations that exceeded the EPA 1/100,000 cancer risk level. Six of the ten passive samples contained formaldehyde at levels that exceeded ATSDR MRLs or EPA IRIS risk levels. Two of the samples exceeded both the acute MRL and the 1/10,000 cancer risk level (Table 5, Figure 4).", "One of the five grab samples contained 41 micrograms per cubic meter of hydrogen sulfide and exceeded the ATSDR intermediate MRL. None of the passive samples had volatiles exceeding the ATSDR MRLs or EPA IRIS risk levels.", "None of the four grab samples or five passive samples contained volatiles at concentrations that exceeded the ATSDR MRLs or EPA IRIS risk levels.", "We reviewed air quality monitoring by state agencies in the five states covered by our sampling. We reviewed one study in Arkansas, seven in Colorado, one in Ohio, four in Pennsylvania, and one in Wyoming. Most of the studies measured VOC levels, two included hydrogen sulfide, and seven included methane and/or other hydrocarbons. Sampling durations ranged from four hours to 24 months; five of the studies lasted more than four weeks. Target compounds were detected in all studies that have been completed, including mixtures of 42 non-methane VOCs. None of the studies concluded that detected compounds posed significant human health risk (Table 6).Table 6\nFive-state survey of air quality monitoring studies, unconventional oil and gas operations\nAgency (year)Target compoundSampling equipmentSample sitesDurationRepresentative findingsADEQ (2011)VOCs (total)NONO2\nPID (fixed)PID (handheld)4 compressor stations6 drilling sites3 well sites (fracking)1 upwind1 d (4–6 hrs.)VOCs “almost always below or near detection limits”VOCs at drilling sites elevated (ave. 38–678 ppb; max. 350–5,321 ppb)NO/NO2 rarely exceed detection limitsCDPHE (2012)NMOCs (78)MethaneCanister1 well pad (Erie)3 wks.Detects = 42 of 78 compounds in >75% of samplesBenzene “well within EPA’s acceptable cancer risk range”Acute and chronic HQs “well below” 1CDPHE (2009)NMOCs (78)VOCsPM2.5\nCanisterPID (handheld)Filter (handheld)8 wells (4 drilling, 4 completion)1 dTotal NMOC ave. 273 – 8,761 ppb at 8 sitesTotal VOC ave. 6–3,023 ppb at 8 sitesPM2.5 ave. 7.3 - 16.7 μg/m3 at 8 sitesCDPHE, GCPHD (2007)VOCs (43)PM10\nCanisterFilter14 sites7 sites24 mos.Detects = 15 of 43 compoundsBenzene ave. 28.2 μg/m3, max 180 μg/m3 (grab)Toluene ave. 91.4 μg/m3, max 540 μg/m3 (grab)CDPHE (2003–2012)NMOCsCarbonylsCanister5 sites (2003)6 sites (2006)3+ sites (2012)2 mos.Methane ave. 2,535 ppb (Platteville) vs. (1,780 ppb Denver)Top NMOCs in Platteville = ethane, propane, butaneBenzene, toluene higher in PlattevilleCDPHE (2002)VOCs (42)SO2\nNO, NO2\nCanisterContinuous2 well sites1 residential1 active flare2 up-, down-valley1 background1 mo.Detects = 6 of 42 VOCsBenzene in 6 of 20 (2.2-6.5 μg/m3)Toluene in 18 of 20 (1.5-17 μg/m3)OEPA (2014)VOCs (69)VOCsPM10/PM2.5\nH2SCOCanisterGC/MSFilter1 well site1 remote site12 mos.Ongoing; data update provided in February 2014Detects include BTEX, alkanes (e.g., ethane, hexane), H2SSecond site planned near processing plantPA DEP (2010)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 condensate tank1 wastewater impoundment1 background5 wks.Detects include methane, ethane, propane, benzene (max. 758 ppb)No conc.’s “that would likely trigger air-related health issues”Fugitive gas stream emissionsPA DEP (2011)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 completed well1 well site (fracking)1 well (tanks, separator)1 background4 wks.Detects include BTEX (benzene max. 400 ppb), methylbenzenesNo conc.’s “that would likely trigger air-related health issues”Fugitive emissions from condensate tanks, pipingPA DEP (2011)VOCs (48)AlkanesCanisterOP-FTIRGC/MS2 compressor stations1 well site (flaring)1 well site (drilling)1 background4 wks.Detects include benzene (max. 400 ppb), toluene, ethylbenzeneNatural gas constituent detects near compressor stationsConc.’s “do not indicate a potential for major air-related health issues”PA DEP (2012)CriteriaVOCs/HAPsMethaneH2S“Full suite”1 gas processing2 large compressor stations1 background12 mos.Ongoing; report due in 2014WDEQ (2013)VOCs/NMHCsOzoneMethaneNO, NO2\nPM10/PM2.5\nCanisterUV PhotometricFIDChemiluminescenceBeta Attenuation7 permanent stations (e.g., Boulder, Juel Spring, Moxa)3 mesonet stations (Mesa, Paradise Warbonnet)2 mobile trailer locations (Big Piney, Jonah Field)OngoingWDEQ mobile monitors placed at locations w/ oil & gas developmentMini-SODAR also placed adjacent to Boulder permanent station“Relatively low concentrations” of VOCs found in canister samplesVOCs “consistently higher” at Paradise site (near oil & gas sources)BTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound.\n\nFive-state survey of air quality monitoring studies, unconventional oil and gas operations\n\nBTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound.", "Additional file 1:\nContains six tables, including complete results from grab and passive sampling (Tables S1 through S5) and data on sample location selection in Wyoming (Table S6).\n(DOC 174 KB)" ]
[ null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Results", "Air contaminants", "Wyoming (Park County)", "Wyoming (Fremont County)", "Arkansas (Cleburne, Faulkner, and Van Buren Counties)", "Pennsylvania (Susquehanna County)", "Colorado (Boulder and Weld Counties)", "Ohio (Athens, Carroll, and Trumbull Counties)", "State air quality monitoring survey", "Discussion", "Conclusions", "Electronic supplementary material", "" ]
[ "New drilling and well stimulation technologies have led to dramatic shifts in the energy market. The Energy Information Administration forecasts that by the 2030s, the United States will become a net exporter of petroleum liquids such as shale oil [1]. Already an exporter of natural gas, the U.S. will retrieve nearly half of its gas from shale formations by that time [2]. Reserves such as shale oil and gas are referred to as “unconventional” because fuels within them do not readily flow to the surface [3]. Instead, they are distributed among tight sandstone, shale, and other geologic strata. Intensive practices are used to retrieve them, such as directional drilling (many kilometres underground and one or more kilometres horizontally through a formation) and hydraulic fracturing to break up the formation and ensure movement through source rock (using millions of gallons of water mixed with chemicals and sand, or “proppants”) [4]. These technologies present public health challenges, including threats to air quality [5–7].\nUnconventional oil and gas (hereinafter “UOG”) development and production involve multiple sources of physical stressors (e.g., noise, light, and vibrations) [6], toxicants (e.g., benzene, constituents in drilling and hydraulic fracturing fluids) [8], and radiological materials (e.g., technologically-enhanced, naturally-occurring radioactive material) [9], including air emissions [10, 11]. Air quality near UOG sites is an underexplored human health concern for several reasons. For a time, environmental scientists and regulators were primarily interested in potential impacts to surface and groundwater quality. High-profile impacts and the subsurface nature of technologies (e.g., hydraulic fracturing) encouraged this research trajectory [12]. This was true despite the fact that UOG development brings to the surface, in the case of natural gas, methane (78.3%), non-methane hydrocarbons (17.8%), nitrogen (1.8%), carbon dioxide (1.5%), and hydrogen sulfide (0.5%) [13]. These constituents, as well as emissions from combustion processes at the surface, are released to the air throughout the life cycle of a productive well [14].\nAir emissions from UOG operations have been generally understood for some time – volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs), and criteria air pollutants such as NOx and PM2.5 can be released at the wellhead, in controlled burns (flaring), from produced water storage pits and tanks, and by diesel-powered equipment and trucks, among other sources [15]. Yet the full range of emissions from drilling, well completion, and other activities remains elusive. New source categories are discovered, emissions from life cycle stages such as transmission and well abandonment have yet to be determined, and even stages such as drilling continue to present uncertainty [16]. We do not understand the extent of drilling-related air emissions as pockets of methane, propane, and other constituents in the subsurface are disturbed and released to the atmosphere [17]. Emissions measurements during flowback vary by orders of magnitude [18]. These and other data gaps limit the accuracy of state and federal emissions inventories, which compile and track known emissions sources. Inventories are also limited by self-reporting and data collection, and rely in some cases on outmoded emissions factors [15]. Flawed inventories constrain human health risk assessment and other research [7] and slow the identification of phenomena such as photochemical ozone production during winter months [19].\nState pollution monitoring networks also constrain research on the air impacts of UOG development. Historically, air quality monitoring targeted urban areas, and criteria air pollutants such as particulate matter and ozone precursors were the primary chemicals of concern [10]. Monitoring stations were designed to ensure compliance with National Ambient Air Quality Standards (NAAQS) for a half-dozen pollutants. Even networks that focus on oil and gas emissions, such as one operated by public health officials in Garfield County, Colorado, do not target individual well pads. The Garfield County network encompasses five sites to monitor a suite of VOCs and (at three sites) particulate matter, in a jurisdiction that covers nearly 3,000 square miles of complex terrain [20]. The Texas Commission on Environmental Quality has arguably the most extensive monitoring network for UOG air emissions in oil and gas regions. Its monitors were sited to minimize urban source impacts and target locations where the public might be exposed to air emissions [21]. Still, its networks can be sparse; there are five permanent monitoring stations in the Eagle Ford Shale region, where 7,000 oil and gas wells have been drilled since 2008 [22]. These and other limited networks potentially mask local hot spots, the effects of unique topography, and fugitive emissions at certain well pads.\nEven a denser monitoring network taking continuous samples may be unable to capture the full range of air impacts of UOG operations. Sources of variability of air emissions and concentrations of VOCs and other pollutants near UOG sites include: (1) the spatial variability of UOG operations; (2) the discontinuous use of equipment such as diesel trucks, glycol dehydrators, separators, and compressors during preparation, drilling, hydraulic fracturing, well completion, and other stages; (3) the composition of shale and other formations and the specific constituents of the drilling and hydraulic fracturing fluids used on-site (which can influence the makeup of produced or flowback water stored in pits and tanks); (4) intermittent emissions from venting, flaring, and leaks; (5) the shifting location, spacing, and intensity of well pads in response to market conditions, improvements in technology, and regulatory changes; (6) the effects of wind, complex terrain, and microclimates; and (7) considerable differences among states in permitting, leak detection and repair, and other requirements [10, 16, 23–25]. Wind, for example, can influence outdoor and indoor concentrations of air pollutants. Brown et al. found that local air movement and mixing depth contribute to peak exposure to VOCs one mile from a compressor station [25]. Colborn et al. noted the role of wind and topography in higher VOC concentrations during winter months, when inversions trap air near ground level [10]. Fuller et al. identified wind speed and wind direction as significant predictors of indoor particulate matter levels near highways [26]. Similar variation can be found within and across geologic formations. Unconventional wells in the Barnett Shale play, for example, differ considerably in terms of reservoir quality, production rates, and recoverable gas [27]. Domestic shale gas plays exhibit even greater diversity, including depth and thickness of recoverable resources, the amount and range of chemicals present in produced water, and the presence of constituents such as bromide, naturally occurring radioactive material, hydrogen sulfide, and other toxic elements [23, 28].\nThese and other sources of variability, and the adaptive drilling and well completion techniques they encourage, complicate the design of setback and well spacing rules that are protective of the public. They also explain why air quality studies carried out in UOG regions yield conflicting results. For example, McKenzie et al. [11] found greater cumulative cancer risks and higher non-cancer hazard indices for residents living less than 0.5 miles from certain well pads in Colorado, while Bunch et al. [21] analyzed data from monitors focused on regional atmospheric concentrations in the Barnett Shale region and found no exceedance of health-based comparison values. Colborn et al. [10] gathered weekly, 24-hour samples 0.7 miles from a well pad in Garfield County, and noted a “great deal of variability across sampling dates in the numbers and concentrations of chemicals detected.” Eapi et al. [29] found substantial variation in fenceline concentrations of methane and hydrogen sulfide, which could not be explained by production volume, number of wells, or condensate volume at natural gas development sites.\nInstitutional factors also influence research on ambient air quality near UOG sites. Congressional exemption of oil and gas operations from provisions of the Clean Air Act, Clean Water Act, Safe Drinking Water Act, Emergency Planning and Community Right-to-Know Act, and other statutes limits data collection on the impacts of oil and gas development [30, 31]. In addition, the peer-reviewed literature is divided between “top-down” and “bottom-up” treatments of air quality. The first set of studies explores the impact of UOG operations on regional air quality, with a concern for methane emissions and ozone precursors in regions such as the Green River Basin in Wyoming [32], the Uintah Basin in northeastern Utah [33], and the Denver-Julesburg Basin, home of the Wattenberg Field in northeastern Colorado [34]. These studies rely on airborne and tower measurements, and are at times supplemented by ground measurements such as mobile monitoring.\nFor example, Petron et al. [35] found a strong alkane signature downwind from the Denver-Julesburg Basin, based on samples taken at a 300-m tall tower (the National Oceanic and Atmospheric Administration Boulder Atmospheric Observatory) and a mobile monitoring unit. In the Uintah Basin, where winter ozone levels exceeded the NAAQS 68 times in 2010, Helmig et al. [36] carried out vertical profiling of ozone precursors at a tower at the northern edge of a gas field. They found levels of atmospheric alkanes during temperature inversion events in 2013 that were 200–300 times greater than regional background. These and other “top-down” studies are also used to estimate methane leakage, which is helpful in comparing the climate-forcing impact of UOG to the use of coal-fired power plants. Loss rate estimates for methane and other hydrocarbons vary considerably by study, from 17% [37] (Los Angeles Basin) to 8.9% [38] (Uintah Basin) (6.2-11.7%, 95% C.I.) to 4% [35] (Denver-Julesburg Basin) (2.3-7.7%, 95% C.I.). A number of studies share the finding that EPA underestimates methane leakage rates across the life cycle (their estimate was 1.65% in 2013) [16], but others, extrapolating from emissions factors and/or direct measurement, produce estimates as low as 0.42% [18]. None of these studies attempts to characterize air concentrations within residential or publicly-accessible areas near UOG operations.\nOther studies follow a “bottom-up” approach to air quality, which is limited by access to well pads and other infrastructure, the availability of a power source for monitoring equipment, the stage of operation underway, scheduled or unscheduled flashing, flaring, and fugitive releases, or movement of truck traffic and equipment at or near a well pad during a given sampling period. Thus, bottom-up studies vary in terms of distance to site, sample frequency, and chemicals targeted. This helps explain the range of findings in the published literature. Nevertheless, existing research gives support to resident reports of acute and long-term health symptoms and other reductions in quality of life. Even as they offer conflicting evidence of the relative importance of one stage of production or another to air emissions [10, 11], or differ in their ultimate conclusion regarding the existence [10, 11, 14, 35, 36, 39] or lack [21, 40, 41] of human health threats from air emissions, they find VOC concentrations in ambient air considerable distances from well pads, including in residential areas and public spaces.\nThe research questions that guide existing studies create a final barrier to our ability to characterize air emissions in UOG regions. Top-down studies are motivated by questions such as identifying sources of regional nonattainment of ozone standards, or estimating methane and other hydrocarbon leakage rates from UOG operations. Bottom-up research gathers data from one or a limited number of well pads, chosen for reasons such as access or cooperation by owners and operators. The data are used to discuss general exposure conditions for an often-hypothetical community, or used to derive a risk factor. In either mode of study, resident exposure does not directly motivate the sampling protocol. Rather, it is considered obliquely in a study’s choice of sample location (e.g., a one that is “near a small community”), assumed in measurements of concentrations within a certain distance of UOG activity, or ignored. What are missing from these studies are protocols grounded in a community’s experience of air quality impacts of UOG operations.\nOur multi-state air quality monitoring study uses a community-based, participatory research (CBPR) design to explore conditions near UOG operations [42]. Its sampling protocol is based not on access to a well pad, data needs conditioned by an existing averaging standard, or regional policy concerns. Rather, we partnered with residents in UOG regions to measure air quality under circumstances that, given local knowledge of operations (e.g., emissions from particular equipment or intermittent practices) gained through daily routines (e.g., regular observation of well pads) and use of public and private spaces nearby (e.g., livestock movement, farming) were viewed by community members as potential threats to human health. Existing studies often lack a data set suitable for statistical analysis. When such analyses are occasionally imposed on bottom-up data sets, they explain only a fraction of the variance in air quality outcomes. For example, the highest R2 values in a study of 66 sites, which, due to the study’s broad spatial range was limited to measurements of methane and hydrogen sulfide, were 0.26 (H2S concentration vs. condensate volume nearby) and 0.17 (H2S and number of wells nearby) [29]. CBPR studies, by comparison, are place-based – they begin with the experience of a population in order to identify environmental stressors and explore the heterogeneity of circumstances under which they arise [43, 44]. Rather than discount these circumstances for lack of statistical power, they can be used to define the scope of confirmatory studies, tailor air quality monitoring networks and studies, or suggest novel pollution control measures and best management practices.", "We explore air quality at a previously neglected scale: near a range of UOG development and production sites that are the focus of community concern. Residents conducted sampling in response to operational conditions, odor events, and a history of the onset of acute symptoms. Residents selected sampling sites after they completed a training program run by Global Community Monitor (GCM), an organization that has developed and modified community-based sampling protocols for more than twenty years. Sampling is designed to obtain accurate readings of public exposure near UOG development in the part-per-billion range [45]. Training sessions followed a written manual on proper sampling protocol and included instruction by experienced members of GCM in a classroom setting for five hours. In addition, samplers were trained in the field to properly demonstrate Quality Assurance/Quality Control (QA/QC) methods, such as use of data sheets and chain of custody records, sampling procedures including not taking samples in the presence of vehicle traffic or other sources of VOCs, and protocols for storage and delivery to an analytic laboratory [45]. Chain of Custody forms provided by the laboratory were explained and filled out in exercises in which each sampler participated. The trainings for community-based air sampling and related QA/QC measures were developed in conjunction with the Environmental Protection Agency under the federal Environmental Monitoring for Public Access and Community Tracking (EMPACT) program, and refined in cooperation with agencies including the Health Services Department of Contra Costa County, California and the Delaware Department of Natural Resources [46, 47]. Any sample that did not meet QA/QC criteria was not included in the final data set.\nCommunity monitors gauged industrial activity using field log sheets (“pollution logs”) that allow each resident to record what they see, hear, feel, smell, and taste in areas downwind of industrial activity as they go about their daily routines. Each community monitor participated voluntarily in data collection for this study. They provided consent to use data gathered with questionnaires that they co-designed as well as grab and passive samplers. Residents documented activity including: (a) visible emissions drifting off-site; (b) odors that appear to derive from a site; (c) acute health symptoms that occur while in proximity to a site or during a specific industrial activity; (d) audible sounds of particular equipment in use within the boundaries of an operating well pad or related infrastructure; and (e) visible activity on-site, including the number and types of heavy trucks and tanks, vehicle traffic, workers present and job categories, and physical changes such as noise and vibrations near certain equipment. Similar to a neighborhood police watch, each resident determined locations that they would continue to observe and potentially return to for sampling.\nSampling for volatile compounds other than formaldehyde was carried out using methods described in O’Rourke and Macey [48] and Larson et al. [49] using an evacuated sampling (“bucket”) vessel modelled after the Summa canister [50]. The bucket is inexpensive, portable, and consists of a 10-liter Tedlar bag and vacuum to take a grab sample of air for two to three minutes (Figure 1). Air is collected using a battery-operated pump that forces air out of the bucket. Negative pressure created inside the sealed bucket by the external vacuum pump opens the bag when a stainless steel bulkhead is opened. After taking the sample, the Tedlar bag is sealed and sent to an analytical laboratory. The bucket sampler operates on the same principle that Summa canisters employ. Rather than collect a sample in a stainless steel can, the bucket contains a special bag made of Tedlar to hold the sample. Bags are obtained from the laboratory that processes the sample and purged three times with pure nitrogen by the laboratory prior to use. GCM’s founder developed the sampling program under a project for Communities for a Better Environment, a non-profit organization founded in 1978 that provides legal, scientific, and technical assistance to heavily polluted communities. The device has been subjected to numerous validation tests organized by government agencies and independent laboratories [51–54]. Refinements include the use of field duplicates, which demonstrate no significant variation in results across comparison studies [45].Figure 1\nDesign of bucket grab sampling device.\n\n\nDesign of bucket grab sampling device.\n\nResidents collected 35 grab samples at locations of community concern, under conditions that would lead them to register a complaint with relevant authorities such as a county public health department or state oil and gas commission. Health symptoms contributed to the decision to take a grab sample on 29 occasions. The most common symptoms reported by samplers were headaches (17 reports), dizziness or light-headedness (13 reports), irritated, burning, or running nose (12 reports), nausea (11 reports), and sore or irritated throat (11 reports). Further details regarding each sample are provided in Additional file 1 (Tables S1 through S5).\nIn addition to grab samples, 41 formaldehyde badges were deployed in the five states targeting production facilities and compressor stations based on the results of pollution patrols. UMEx100 Passive Samplers for Formaldehyde are manufactured by SKC Inc. Samplers were placed near operating compressor stations and production facilities for a minimum of eight hours.\nSamples were ultimately collected near production pads, compressor stations, condensate tank farms, gas processing stations, and wastewater and produced water impoundments in five states (Arkansas, Colorado, Ohio, Pennsylvania, and Wyoming). The states were chosen to reflect a diverse range of urban and rural communities, operations (e.g., number of wells permitted and developed), history of development, and stages of production (see Table 1).Table 1\nOil and gas operations by state\nStateDrilling permits issued (year)WellsProductionSetback requirements (dwellings and occupied structures)Ambient air quality standardsDrilled (year)Producing (year)Gas (Tcf) (year)Oil (MMbbl) (year)AR~ 890 (2012)a\n--8,538 (gas) (2012)b\n1.15 (2012)b\n6.59 (2012)a\n200 ft. (from produced fluids storage tanks to habitable dwelling)20 ppm (5 min.); 80 ppb (8-hr.) (H2S)c\n~ 1,090 (2011)a\n300 ft. (from produced fluids storage tanks to school, hospital, or other public use building)CO4,025 (2013)a\n--46,697 (2014)d\n1.71 (2012)b\n64.88 (2013)a\n500 ft. (from well to home or building, absent waiver)--c,\ne\n3,775 (2012)a\n1,000 ft. (from well to high occupancy building, absent hearing and approval)OH903 (2012)a\n553 (2012)a\n51,739 (2012)a\n.084 (2012)b\n4.97 (2012)a\n150 ft. (occupied dwelling in urbanized area, absent consent)--c,\ne\n690 (2011)a\n150 ft. (occupied or public dwelling, non-urban area)200 ft. (occupied dwelling w/in drilling unit due to mandatory pooling)PA4,617 (2013)a\n2,174 (2013)a\n55,812 (2011)f\n2.26 (2012)b\n2.7 (2011)a\n500 ft. (from well bore to building or water well)0.1 ppm (1-hr.); 0.005 ppm (24-hr.) (H2S)c, e\n4,090 (2012)a\nWY3,230 (Sept. 2013-Aug. 2014)a\n--37,301 (2012)a\n2.23 (2012)b\n57.5 (2012)a\n350 ft. (from wellhead, pumping unit, pit, production tank, and/or production equipment to residence, school, or hospital)40 μg/m3 (half-hr. ave., 2x w/in 5 days) (H2S)c, e\n\naState agency data.\nbU.S. Energy Information Administration data.\ncIn addition to National Ambient Air Quality Standards for criteria air pollutants and federal emissions standards – new source performance standards (40 C.F.R. §§ 60.5360 - 60.5430) and national emission standards for hazardous air pollutants (40 C.F.R. §§ 63.760 - 63.777) – applicable to the oil and gas industry.\ndPersonal communication with state agency.\neIn addition to state emissions standards (e.g., VOC emissions from glycol dehydrators; green completions; valve requirements for pneumatic devices). See, for example, Colorado Department of Public Health and Environment’s revised Air Quality Control Commission Regulation Numbers 3, 6, and 7 (adopted 23 February 2014).\nfEarthworks data.\n\nOil and gas operations by state\n\n\naState agency data.\n\nbU.S. Energy Information Administration data.\n\ncIn addition to National Ambient Air Quality Standards for criteria air pollutants and federal emissions standards – new source performance standards (40 C.F.R. §§ 60.5360 - 60.5430) and national emission standards for hazardous air pollutants (40 C.F.R. §§ 63.760 - 63.777) – applicable to the oil and gas industry.\n\ndPersonal communication with state agency.\n\neIn addition to state emissions standards (e.g., VOC emissions from glycol dehydrators; green completions; valve requirements for pneumatic devices). See, for example, Colorado Department of Public Health and Environment’s revised Air Quality Control Commission Regulation Numbers 3, 6, and 7 (adopted 23 February 2014).\n\nfEarthworks data.\nAir samples were analyzed for 75 volatile organic compounds (VOCs), including benzene, ethylbenzene, acrylonitrile, methylene chloride, toluene, hexane, heptane, and xylene by ALS Laboratories (Simi Valley, CA 93065) using EPA Method TO-15 or TO-3 (methane) by gas chromatograph/mass spectrometer interface to a whole air preconcentrator. Formaldehyde samples were analyzed using EPA Method TO-11A, modified for the sampling device by high performance liquid chromatography with UV detection. Samples were also analyzed for 20 sulfur compounds by ASTM D 5504–08 using a gas chromatograph equipped with a sulfur chemiluminescence detector. All compounds with the exception of hydrogen sulfide and carbonyl sulfide were quantitated against the initial calibration curve for methyl mercaptan. Chemicals of concern were compared to U.S. Agency for Toxic Substances and Disease Registry (ATSDR) minimal risk levels (MRLs) and EPA Integrated Risk Information System (IRIS) cancer risk levels. MRLs are estimates of daily human exposure that can occur without appreciable risk of human health effects. They are derived for acute (1–14 days), intermediate (15–364 days), or chronic (365 days or longer) periods of exposure. The laboratory is certified by ten state departments of health or environment, the American Industrial Hygiene Association, and the U.S. Department of Defense.", "Table 1 shows the diverse range of operation, including number of wells permitted and developed and setbacks from housing and other occupied structures, in UOG regions where grab and passive air samples were collected through partnership with community-based organizations.\n Air contaminants We identified unique chemical mixtures at each sample location (see Tables S1 through S5 in Additional file 1). In addition, we identified eight volatile compounds at concentrations that exceeded ATSDR minimal risk levels (MRLs) or EPA Integrated Risk Information System (IRIS) cancer risk levels (see Table 2). Although our samples represent a single point in time, we compared concentrations to acute as well as chronic risk levels as many of the activities that generate volatile compounds near UOG operations are long-duration (the life cycle of an unconventional natural gas well can span several decades) [16]. Residents chose sample locations where odors and symptoms were the “norm” for the area, not a one-time event. In addition, a growing body of research suggests that peak (e.g., 1-hr. maximum), rather than average exposure to air emissions may better capture certain risks to human health [55–57].Table 2\nATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m\n3\n)\nChemicalATSDR MRLsIRIS cancer risk levelsAcuteIntermediateChronic1/1,000,0001/100,0001/10,000Benzene292010.454.5451,3 butadiene0.030.33Ethylbenzene21,7008,680260Formaldehyde4937100.080.88N-hexane2,115Hydrogen sulfide9828Toluene3,750300Xylenes8,6802,604217\n\nATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m\n3\n)\n\nSixteen of the 35 grab samples, and 14 of the 41 passive samples, had concentrations of volatiles that exceeded ATSDR and/or EPA IRIS levels. ATSDR MRLs and EPA IRIS levels for chemicals of concern are provided in Table 2. The chemicals that most commonly exceeded these levels were hydrogen sulfide, formaldehyde, and benzene. Background levels for these chemicals are 0.15 μg/m3 for hydrogen sulfide, 0.25 μg/m3 for formaldehyde, and 0.15 μg/m3 for benzene [58–60]. Our samples that exceeded health-based risk levels were 90–66,000× background levels for hydrogen sulfide, 30-240× background levels for formaldehyde, and 35–770,000× background levels for benzene. Details of our results are presented in Tables 3, 4, and 5 and in Figures 2, 3, and 4 (greater detail is provided in Additional file 1). A state-by-state summary follows.Table 3\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming\nState/IDCountyNearest infrastructureChemicalConcentration (μg/m\n3)ATSDR MRLs exceededEPA IRIS cancer risk exceededWY-4586Fremont5 m from separatorHydrogen sulfide590I, An/aWY-4586Fremont5 m from separatorBenzene2,200C, I, A1/10,000WY-4586Fremont5 m from separatorToluene1,400Cn/aWY-4586Fremont5 m from separatorEthylbenzene1,200Cn/aWY-4586Fremont5 m from separatorMixed xylenes4,100C, In/aWY-4586Fremont5 m from separatorn-hexane22,000Cn/aWY-1103Fremont20 m from separatorbenzene31C, I, A1/100,000WY-2069Fremont110 m from work-over riga\nHydrogen sulfide30In/aWY-4861Fremont5 m from separatorBenzene230C, I, A1/10,000WY-4861Fremont5 m from separatorMixed xylenes317Cn/aWY-4861Fremont5 m from separatorn-hexane2,500Cn/aWY-4478Park25 m from separatorHydrogen sulfide91In/aWY-4478Park25 m from separatorBenzene110,000C, I, A1/10,000WY-4478Park25 m from separatorToluene270,000C, An/aWY-4478Park25 m from separatorMixed xylenes135,000C, I, An/aWY-4478Park25 m from separatorn-hexane1,200,000Cn/aWY-129Park55 m from separatorbenzene100C, I, A1/10,000WY-3321Park5 m from compressorbenzene35C, I, A1/100,000WY-4883-005Park5 m from compressorFormaldehyde46C, I1/10,000WY-4864Park5 m from discharge canalHydrogen sulfide210I, An/aWY-4865Park10 m from discharge canalHydrogen sulfide1,200I, An/aWY-4496Park20 m from well padHydrogen sulfide6,100I, An/aWY-106ParkAdjacent to discharge canalHydrogen sulfide5,600I, An/aWY-184Park15 m from discharge canalHydrogen sulfide240I, An/aWY-187Park15 m from discharge canalHydrogen sulfide66,000I, An/aWY-187Park15 m from discharge canalBenzene23C, I1/100,000C = chronic; A = acute; I = intermediate.\naInfrastructure used to pull and replace a well completion.Table 4\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas\nState/IDCountyNearest infrastructureChemicalConcentration (μg/m\n3)ATSDR MRLs exceededEPA IRIS cancer risk exceededAR-3136-003Faulkner355 m from compressorFormaldehyde36C1/10,000AR-3136-001Cleburne42 m from compressorFormaldehyde34C1/10,000AR-3561Cleburne30 m from compressorFormaldehyde27C1/10,000AR-3562Faulkner355 m from compressorFormaldehyde28C1/10,000AR-4331Faulkner42 m from compressorFormaldehyde23C1/10,000AR-4333Faulkner237 m from compressorFormaldehyde44C, I1/10,000AR-4724Van Buren42 m from compressor1,3-butadiene8.5n/a1/10,000AR-4924Faulkner254 m from compressorFormaldehyde48C, I1/10,000C = chronic; I = intermediate.Table 5\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania\nState/IDCountyNearest infrastructureChemicalConcentration (μg/m\n3)ATSDR MRLs exceededEPA IRIS cancer risk exceededPA-4083-003Susquehanna420 m from compressorFormaldehyde8.31/10,000PA-4083-004Susquehanna370 m from compressorFormaldehyde7.61/100,000PA-4136Washington270 m from PIG launcha\nBenzene5.71/100,000PA-4259-002Susquehanna790 m from compressorFormaldehyde61C, I, A1/10,000PA-4259-003Susquehanna420 m from compressorFormaldehyde59C, I, A1/10,000PA-4259-004Susquehanna230 m from compressorFormaldehyde32C1/10,000PA-4259-005Susquehanna460 m from compressorFormaldehyde34C1/10,000C = chronic; A = acute; I = intermediate.\naLaunching station for pipeline cleaning or inspection tool.Figure 2\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde).Figure 3\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene.Figure 4\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming\n\nC = chronic; A = acute; I = intermediate.\n\naInfrastructure used to pull and replace a well completion.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas\n\nC = chronic; I = intermediate.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania\n\nC = chronic; A = acute; I = intermediate.\n\naLaunching station for pipeline cleaning or inspection tool.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde).\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene.\nWe identified unique chemical mixtures at each sample location (see Tables S1 through S5 in Additional file 1). In addition, we identified eight volatile compounds at concentrations that exceeded ATSDR minimal risk levels (MRLs) or EPA Integrated Risk Information System (IRIS) cancer risk levels (see Table 2). Although our samples represent a single point in time, we compared concentrations to acute as well as chronic risk levels as many of the activities that generate volatile compounds near UOG operations are long-duration (the life cycle of an unconventional natural gas well can span several decades) [16]. Residents chose sample locations where odors and symptoms were the “norm” for the area, not a one-time event. In addition, a growing body of research suggests that peak (e.g., 1-hr. maximum), rather than average exposure to air emissions may better capture certain risks to human health [55–57].Table 2\nATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m\n3\n)\nChemicalATSDR MRLsIRIS cancer risk levelsAcuteIntermediateChronic1/1,000,0001/100,0001/10,000Benzene292010.454.5451,3 butadiene0.030.33Ethylbenzene21,7008,680260Formaldehyde4937100.080.88N-hexane2,115Hydrogen sulfide9828Toluene3,750300Xylenes8,6802,604217\n\nATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m\n3\n)\n\nSixteen of the 35 grab samples, and 14 of the 41 passive samples, had concentrations of volatiles that exceeded ATSDR and/or EPA IRIS levels. ATSDR MRLs and EPA IRIS levels for chemicals of concern are provided in Table 2. The chemicals that most commonly exceeded these levels were hydrogen sulfide, formaldehyde, and benzene. Background levels for these chemicals are 0.15 μg/m3 for hydrogen sulfide, 0.25 μg/m3 for formaldehyde, and 0.15 μg/m3 for benzene [58–60]. Our samples that exceeded health-based risk levels were 90–66,000× background levels for hydrogen sulfide, 30-240× background levels for formaldehyde, and 35–770,000× background levels for benzene. Details of our results are presented in Tables 3, 4, and 5 and in Figures 2, 3, and 4 (greater detail is provided in Additional file 1). A state-by-state summary follows.Table 3\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming\nState/IDCountyNearest infrastructureChemicalConcentration (μg/m\n3)ATSDR MRLs exceededEPA IRIS cancer risk exceededWY-4586Fremont5 m from separatorHydrogen sulfide590I, An/aWY-4586Fremont5 m from separatorBenzene2,200C, I, A1/10,000WY-4586Fremont5 m from separatorToluene1,400Cn/aWY-4586Fremont5 m from separatorEthylbenzene1,200Cn/aWY-4586Fremont5 m from separatorMixed xylenes4,100C, In/aWY-4586Fremont5 m from separatorn-hexane22,000Cn/aWY-1103Fremont20 m from separatorbenzene31C, I, A1/100,000WY-2069Fremont110 m from work-over riga\nHydrogen sulfide30In/aWY-4861Fremont5 m from separatorBenzene230C, I, A1/10,000WY-4861Fremont5 m from separatorMixed xylenes317Cn/aWY-4861Fremont5 m from separatorn-hexane2,500Cn/aWY-4478Park25 m from separatorHydrogen sulfide91In/aWY-4478Park25 m from separatorBenzene110,000C, I, A1/10,000WY-4478Park25 m from separatorToluene270,000C, An/aWY-4478Park25 m from separatorMixed xylenes135,000C, I, An/aWY-4478Park25 m from separatorn-hexane1,200,000Cn/aWY-129Park55 m from separatorbenzene100C, I, A1/10,000WY-3321Park5 m from compressorbenzene35C, I, A1/100,000WY-4883-005Park5 m from compressorFormaldehyde46C, I1/10,000WY-4864Park5 m from discharge canalHydrogen sulfide210I, An/aWY-4865Park10 m from discharge canalHydrogen sulfide1,200I, An/aWY-4496Park20 m from well padHydrogen sulfide6,100I, An/aWY-106ParkAdjacent to discharge canalHydrogen sulfide5,600I, An/aWY-184Park15 m from discharge canalHydrogen sulfide240I, An/aWY-187Park15 m from discharge canalHydrogen sulfide66,000I, An/aWY-187Park15 m from discharge canalBenzene23C, I1/100,000C = chronic; A = acute; I = intermediate.\naInfrastructure used to pull and replace a well completion.Table 4\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas\nState/IDCountyNearest infrastructureChemicalConcentration (μg/m\n3)ATSDR MRLs exceededEPA IRIS cancer risk exceededAR-3136-003Faulkner355 m from compressorFormaldehyde36C1/10,000AR-3136-001Cleburne42 m from compressorFormaldehyde34C1/10,000AR-3561Cleburne30 m from compressorFormaldehyde27C1/10,000AR-3562Faulkner355 m from compressorFormaldehyde28C1/10,000AR-4331Faulkner42 m from compressorFormaldehyde23C1/10,000AR-4333Faulkner237 m from compressorFormaldehyde44C, I1/10,000AR-4724Van Buren42 m from compressor1,3-butadiene8.5n/a1/10,000AR-4924Faulkner254 m from compressorFormaldehyde48C, I1/10,000C = chronic; I = intermediate.Table 5\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania\nState/IDCountyNearest infrastructureChemicalConcentration (μg/m\n3)ATSDR MRLs exceededEPA IRIS cancer risk exceededPA-4083-003Susquehanna420 m from compressorFormaldehyde8.31/10,000PA-4083-004Susquehanna370 m from compressorFormaldehyde7.61/100,000PA-4136Washington270 m from PIG launcha\nBenzene5.71/100,000PA-4259-002Susquehanna790 m from compressorFormaldehyde61C, I, A1/10,000PA-4259-003Susquehanna420 m from compressorFormaldehyde59C, I, A1/10,000PA-4259-004Susquehanna230 m from compressorFormaldehyde32C1/10,000PA-4259-005Susquehanna460 m from compressorFormaldehyde34C1/10,000C = chronic; A = acute; I = intermediate.\naLaunching station for pipeline cleaning or inspection tool.Figure 2\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde).Figure 3\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene.Figure 4\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming\n\nC = chronic; A = acute; I = intermediate.\n\naInfrastructure used to pull and replace a well completion.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas\n\nC = chronic; I = intermediate.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania\n\nC = chronic; A = acute; I = intermediate.\n\naLaunching station for pipeline cleaning or inspection tool.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde).\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene.\n Wyoming (Park County) Nine of the ten grab samples contained volatiles above ATSDR MRLs or EPA IRIS risk levels. Seven contained high concentrations of hydrogen sulfide (one was over 600× the ATSDR acute MRL) and three contained high levels of benzene, including one over 12,000× the ATSDR acute MRL. The sample with the highest benzene concentrations also contained 480,000 micrograms per cubic meter of heptane, 3,100,000 micrograms per cubic meter of pentane, and 4,100,000 micrograms per cubic meter of butane, all hydrocarbons that are frequently associated with methane. These hydrocarbon concentrations exceeded occupational health standards (NIOSH recommended exposure limits). Four of the seven samples with high levels of hydrogen sulfide were taken in northeast Park County (near Deaver), and three of the four samples with high benzene levels were taken in northwest Park County (near Clark). One of the five passive samples contained formaldehyde at levels that exceeded ATSDR MRLs and the 1/10,000 cancer risk level (Table 3, Figure 2).\nNine of the ten grab samples contained volatiles above ATSDR MRLs or EPA IRIS risk levels. Seven contained high concentrations of hydrogen sulfide (one was over 600× the ATSDR acute MRL) and three contained high levels of benzene, including one over 12,000× the ATSDR acute MRL. The sample with the highest benzene concentrations also contained 480,000 micrograms per cubic meter of heptane, 3,100,000 micrograms per cubic meter of pentane, and 4,100,000 micrograms per cubic meter of butane, all hydrocarbons that are frequently associated with methane. These hydrocarbon concentrations exceeded occupational health standards (NIOSH recommended exposure limits). Four of the seven samples with high levels of hydrogen sulfide were taken in northeast Park County (near Deaver), and three of the four samples with high benzene levels were taken in northwest Park County (near Clark). One of the five passive samples contained formaldehyde at levels that exceeded ATSDR MRLs and the 1/10,000 cancer risk level (Table 3, Figure 2).\n Wyoming (Fremont County) Four of the five grab samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS risk levels. One sample contained six volatiles exceeding these levels, including benzene at 75× the ATSDR acute MRL and 22× the EPA IRIS 1/10,000 cancer risk level. A second sample contained three volatiles exceeding ATSDR or EPA IRIS levels and also contained 4,167,000 micrograms per cubic meter of methane, an amount that exceeds its occupational health standard (Threshold Limit Value). None of the passive samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS cancer risk levels (Table 3, Figure 2).\nFour of the five grab samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS risk levels. One sample contained six volatiles exceeding these levels, including benzene at 75× the ATSDR acute MRL and 22× the EPA IRIS 1/10,000 cancer risk level. A second sample contained three volatiles exceeding ATSDR or EPA IRIS levels and also contained 4,167,000 micrograms per cubic meter of methane, an amount that exceeds its occupational health standard (Threshold Limit Value). None of the passive samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS cancer risk levels (Table 3, Figure 2).\n Arkansas (Cleburne, Faulkner, and Van Buren Counties) One of the 8 grab samples, and 7 of the 13 passive samples, contained volatiles above ATSDR MRLs or EPA IRIS risk levels. One of the passive samples (taken at a residence) had formaldehyde levels that were close to the ATSDR MRL and exceeded EPA’s 1/10,000 cancer risk level (Table 4, Figure 3).\nOne of the 8 grab samples, and 7 of the 13 passive samples, contained volatiles above ATSDR MRLs or EPA IRIS risk levels. One of the passive samples (taken at a residence) had formaldehyde levels that were close to the ATSDR MRL and exceeded EPA’s 1/10,000 cancer risk level (Table 4, Figure 3).\n Pennsylvania (Susquehanna County) One of the four grab samples contained benzene at concentrations that exceeded the EPA 1/100,000 cancer risk level. Six of the ten passive samples contained formaldehyde at levels that exceeded ATSDR MRLs or EPA IRIS risk levels. Two of the samples exceeded both the acute MRL and the 1/10,000 cancer risk level (Table 5, Figure 4).\nOne of the four grab samples contained benzene at concentrations that exceeded the EPA 1/100,000 cancer risk level. Six of the ten passive samples contained formaldehyde at levels that exceeded ATSDR MRLs or EPA IRIS risk levels. Two of the samples exceeded both the acute MRL and the 1/10,000 cancer risk level (Table 5, Figure 4).\n Colorado (Boulder and Weld Counties) One of the five grab samples contained 41 micrograms per cubic meter of hydrogen sulfide and exceeded the ATSDR intermediate MRL. None of the passive samples had volatiles exceeding the ATSDR MRLs or EPA IRIS risk levels.\nOne of the five grab samples contained 41 micrograms per cubic meter of hydrogen sulfide and exceeded the ATSDR intermediate MRL. None of the passive samples had volatiles exceeding the ATSDR MRLs or EPA IRIS risk levels.\n Ohio (Athens, Carroll, and Trumbull Counties) None of the four grab samples or five passive samples contained volatiles at concentrations that exceeded the ATSDR MRLs or EPA IRIS risk levels.\nNone of the four grab samples or five passive samples contained volatiles at concentrations that exceeded the ATSDR MRLs or EPA IRIS risk levels.\n State air quality monitoring survey We reviewed air quality monitoring by state agencies in the five states covered by our sampling. We reviewed one study in Arkansas, seven in Colorado, one in Ohio, four in Pennsylvania, and one in Wyoming. Most of the studies measured VOC levels, two included hydrogen sulfide, and seven included methane and/or other hydrocarbons. Sampling durations ranged from four hours to 24 months; five of the studies lasted more than four weeks. Target compounds were detected in all studies that have been completed, including mixtures of 42 non-methane VOCs. None of the studies concluded that detected compounds posed significant human health risk (Table 6).Table 6\nFive-state survey of air quality monitoring studies, unconventional oil and gas operations\nAgency (year)Target compoundSampling equipmentSample sitesDurationRepresentative findingsADEQ (2011)VOCs (total)NONO2\nPID (fixed)PID (handheld)4 compressor stations6 drilling sites3 well sites (fracking)1 upwind1 d (4–6 hrs.)VOCs “almost always below or near detection limits”VOCs at drilling sites elevated (ave. 38–678 ppb; max. 350–5,321 ppb)NO/NO2 rarely exceed detection limitsCDPHE (2012)NMOCs (78)MethaneCanister1 well pad (Erie)3 wks.Detects = 42 of 78 compounds in >75% of samplesBenzene “well within EPA’s acceptable cancer risk range”Acute and chronic HQs “well below” 1CDPHE (2009)NMOCs (78)VOCsPM2.5\nCanisterPID (handheld)Filter (handheld)8 wells (4 drilling, 4 completion)1 dTotal NMOC ave. 273 – 8,761 ppb at 8 sitesTotal VOC ave. 6–3,023 ppb at 8 sitesPM2.5 ave. 7.3 - 16.7 μg/m3 at 8 sitesCDPHE, GCPHD (2007)VOCs (43)PM10\nCanisterFilter14 sites7 sites24 mos.Detects = 15 of 43 compoundsBenzene ave. 28.2 μg/m3, max 180 μg/m3 (grab)Toluene ave. 91.4 μg/m3, max 540 μg/m3 (grab)CDPHE (2003–2012)NMOCsCarbonylsCanister5 sites (2003)6 sites (2006)3+ sites (2012)2 mos.Methane ave. 2,535 ppb (Platteville) vs. (1,780 ppb Denver)Top NMOCs in Platteville = ethane, propane, butaneBenzene, toluene higher in PlattevilleCDPHE (2002)VOCs (42)SO2\nNO, NO2\nCanisterContinuous2 well sites1 residential1 active flare2 up-, down-valley1 background1 mo.Detects = 6 of 42 VOCsBenzene in 6 of 20 (2.2-6.5 μg/m3)Toluene in 18 of 20 (1.5-17 μg/m3)OEPA (2014)VOCs (69)VOCsPM10/PM2.5\nH2SCOCanisterGC/MSFilter1 well site1 remote site12 mos.Ongoing; data update provided in February 2014Detects include BTEX, alkanes (e.g., ethane, hexane), H2SSecond site planned near processing plantPA DEP (2010)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 condensate tank1 wastewater impoundment1 background5 wks.Detects include methane, ethane, propane, benzene (max. 758 ppb)No conc.’s “that would likely trigger air-related health issues”Fugitive gas stream emissionsPA DEP (2011)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 completed well1 well site (fracking)1 well (tanks, separator)1 background4 wks.Detects include BTEX (benzene max. 400 ppb), methylbenzenesNo conc.’s “that would likely trigger air-related health issues”Fugitive emissions from condensate tanks, pipingPA DEP (2011)VOCs (48)AlkanesCanisterOP-FTIRGC/MS2 compressor stations1 well site (flaring)1 well site (drilling)1 background4 wks.Detects include benzene (max. 400 ppb), toluene, ethylbenzeneNatural gas constituent detects near compressor stationsConc.’s “do not indicate a potential for major air-related health issues”PA DEP (2012)CriteriaVOCs/HAPsMethaneH2S“Full suite”1 gas processing2 large compressor stations1 background12 mos.Ongoing; report due in 2014WDEQ (2013)VOCs/NMHCsOzoneMethaneNO, NO2\nPM10/PM2.5\nCanisterUV PhotometricFIDChemiluminescenceBeta Attenuation7 permanent stations (e.g., Boulder, Juel Spring, Moxa)3 mesonet stations (Mesa, Paradise Warbonnet)2 mobile trailer locations (Big Piney, Jonah Field)OngoingWDEQ mobile monitors placed at locations w/ oil & gas developmentMini-SODAR also placed adjacent to Boulder permanent station“Relatively low concentrations” of VOCs found in canister samplesVOCs “consistently higher” at Paradise site (near oil & gas sources)BTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound.\n\nFive-state survey of air quality monitoring studies, unconventional oil and gas operations\n\nBTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound.\nWe reviewed air quality monitoring by state agencies in the five states covered by our sampling. We reviewed one study in Arkansas, seven in Colorado, one in Ohio, four in Pennsylvania, and one in Wyoming. Most of the studies measured VOC levels, two included hydrogen sulfide, and seven included methane and/or other hydrocarbons. Sampling durations ranged from four hours to 24 months; five of the studies lasted more than four weeks. Target compounds were detected in all studies that have been completed, including mixtures of 42 non-methane VOCs. None of the studies concluded that detected compounds posed significant human health risk (Table 6).Table 6\nFive-state survey of air quality monitoring studies, unconventional oil and gas operations\nAgency (year)Target compoundSampling equipmentSample sitesDurationRepresentative findingsADEQ (2011)VOCs (total)NONO2\nPID (fixed)PID (handheld)4 compressor stations6 drilling sites3 well sites (fracking)1 upwind1 d (4–6 hrs.)VOCs “almost always below or near detection limits”VOCs at drilling sites elevated (ave. 38–678 ppb; max. 350–5,321 ppb)NO/NO2 rarely exceed detection limitsCDPHE (2012)NMOCs (78)MethaneCanister1 well pad (Erie)3 wks.Detects = 42 of 78 compounds in >75% of samplesBenzene “well within EPA’s acceptable cancer risk range”Acute and chronic HQs “well below” 1CDPHE (2009)NMOCs (78)VOCsPM2.5\nCanisterPID (handheld)Filter (handheld)8 wells (4 drilling, 4 completion)1 dTotal NMOC ave. 273 – 8,761 ppb at 8 sitesTotal VOC ave. 6–3,023 ppb at 8 sitesPM2.5 ave. 7.3 - 16.7 μg/m3 at 8 sitesCDPHE, GCPHD (2007)VOCs (43)PM10\nCanisterFilter14 sites7 sites24 mos.Detects = 15 of 43 compoundsBenzene ave. 28.2 μg/m3, max 180 μg/m3 (grab)Toluene ave. 91.4 μg/m3, max 540 μg/m3 (grab)CDPHE (2003–2012)NMOCsCarbonylsCanister5 sites (2003)6 sites (2006)3+ sites (2012)2 mos.Methane ave. 2,535 ppb (Platteville) vs. (1,780 ppb Denver)Top NMOCs in Platteville = ethane, propane, butaneBenzene, toluene higher in PlattevilleCDPHE (2002)VOCs (42)SO2\nNO, NO2\nCanisterContinuous2 well sites1 residential1 active flare2 up-, down-valley1 background1 mo.Detects = 6 of 42 VOCsBenzene in 6 of 20 (2.2-6.5 μg/m3)Toluene in 18 of 20 (1.5-17 μg/m3)OEPA (2014)VOCs (69)VOCsPM10/PM2.5\nH2SCOCanisterGC/MSFilter1 well site1 remote site12 mos.Ongoing; data update provided in February 2014Detects include BTEX, alkanes (e.g., ethane, hexane), H2SSecond site planned near processing plantPA DEP (2010)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 condensate tank1 wastewater impoundment1 background5 wks.Detects include methane, ethane, propane, benzene (max. 758 ppb)No conc.’s “that would likely trigger air-related health issues”Fugitive gas stream emissionsPA DEP (2011)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 completed well1 well site (fracking)1 well (tanks, separator)1 background4 wks.Detects include BTEX (benzene max. 400 ppb), methylbenzenesNo conc.’s “that would likely trigger air-related health issues”Fugitive emissions from condensate tanks, pipingPA DEP (2011)VOCs (48)AlkanesCanisterOP-FTIRGC/MS2 compressor stations1 well site (flaring)1 well site (drilling)1 background4 wks.Detects include benzene (max. 400 ppb), toluene, ethylbenzeneNatural gas constituent detects near compressor stationsConc.’s “do not indicate a potential for major air-related health issues”PA DEP (2012)CriteriaVOCs/HAPsMethaneH2S“Full suite”1 gas processing2 large compressor stations1 background12 mos.Ongoing; report due in 2014WDEQ (2013)VOCs/NMHCsOzoneMethaneNO, NO2\nPM10/PM2.5\nCanisterUV PhotometricFIDChemiluminescenceBeta Attenuation7 permanent stations (e.g., Boulder, Juel Spring, Moxa)3 mesonet stations (Mesa, Paradise Warbonnet)2 mobile trailer locations (Big Piney, Jonah Field)OngoingWDEQ mobile monitors placed at locations w/ oil & gas developmentMini-SODAR also placed adjacent to Boulder permanent station“Relatively low concentrations” of VOCs found in canister samplesVOCs “consistently higher” at Paradise site (near oil & gas sources)BTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound.\n\nFive-state survey of air quality monitoring studies, unconventional oil and gas operations\n\nBTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound.", "We identified unique chemical mixtures at each sample location (see Tables S1 through S5 in Additional file 1). In addition, we identified eight volatile compounds at concentrations that exceeded ATSDR minimal risk levels (MRLs) or EPA Integrated Risk Information System (IRIS) cancer risk levels (see Table 2). Although our samples represent a single point in time, we compared concentrations to acute as well as chronic risk levels as many of the activities that generate volatile compounds near UOG operations are long-duration (the life cycle of an unconventional natural gas well can span several decades) [16]. Residents chose sample locations where odors and symptoms were the “norm” for the area, not a one-time event. In addition, a growing body of research suggests that peak (e.g., 1-hr. maximum), rather than average exposure to air emissions may better capture certain risks to human health [55–57].Table 2\nATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m\n3\n)\nChemicalATSDR MRLsIRIS cancer risk levelsAcuteIntermediateChronic1/1,000,0001/100,0001/10,000Benzene292010.454.5451,3 butadiene0.030.33Ethylbenzene21,7008,680260Formaldehyde4937100.080.88N-hexane2,115Hydrogen sulfide9828Toluene3,750300Xylenes8,6802,604217\n\nATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m\n3\n)\n\nSixteen of the 35 grab samples, and 14 of the 41 passive samples, had concentrations of volatiles that exceeded ATSDR and/or EPA IRIS levels. ATSDR MRLs and EPA IRIS levels for chemicals of concern are provided in Table 2. The chemicals that most commonly exceeded these levels were hydrogen sulfide, formaldehyde, and benzene. Background levels for these chemicals are 0.15 μg/m3 for hydrogen sulfide, 0.25 μg/m3 for formaldehyde, and 0.15 μg/m3 for benzene [58–60]. Our samples that exceeded health-based risk levels were 90–66,000× background levels for hydrogen sulfide, 30-240× background levels for formaldehyde, and 35–770,000× background levels for benzene. Details of our results are presented in Tables 3, 4, and 5 and in Figures 2, 3, and 4 (greater detail is provided in Additional file 1). A state-by-state summary follows.Table 3\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming\nState/IDCountyNearest infrastructureChemicalConcentration (μg/m\n3)ATSDR MRLs exceededEPA IRIS cancer risk exceededWY-4586Fremont5 m from separatorHydrogen sulfide590I, An/aWY-4586Fremont5 m from separatorBenzene2,200C, I, A1/10,000WY-4586Fremont5 m from separatorToluene1,400Cn/aWY-4586Fremont5 m from separatorEthylbenzene1,200Cn/aWY-4586Fremont5 m from separatorMixed xylenes4,100C, In/aWY-4586Fremont5 m from separatorn-hexane22,000Cn/aWY-1103Fremont20 m from separatorbenzene31C, I, A1/100,000WY-2069Fremont110 m from work-over riga\nHydrogen sulfide30In/aWY-4861Fremont5 m from separatorBenzene230C, I, A1/10,000WY-4861Fremont5 m from separatorMixed xylenes317Cn/aWY-4861Fremont5 m from separatorn-hexane2,500Cn/aWY-4478Park25 m from separatorHydrogen sulfide91In/aWY-4478Park25 m from separatorBenzene110,000C, I, A1/10,000WY-4478Park25 m from separatorToluene270,000C, An/aWY-4478Park25 m from separatorMixed xylenes135,000C, I, An/aWY-4478Park25 m from separatorn-hexane1,200,000Cn/aWY-129Park55 m from separatorbenzene100C, I, A1/10,000WY-3321Park5 m from compressorbenzene35C, I, A1/100,000WY-4883-005Park5 m from compressorFormaldehyde46C, I1/10,000WY-4864Park5 m from discharge canalHydrogen sulfide210I, An/aWY-4865Park10 m from discharge canalHydrogen sulfide1,200I, An/aWY-4496Park20 m from well padHydrogen sulfide6,100I, An/aWY-106ParkAdjacent to discharge canalHydrogen sulfide5,600I, An/aWY-184Park15 m from discharge canalHydrogen sulfide240I, An/aWY-187Park15 m from discharge canalHydrogen sulfide66,000I, An/aWY-187Park15 m from discharge canalBenzene23C, I1/100,000C = chronic; A = acute; I = intermediate.\naInfrastructure used to pull and replace a well completion.Table 4\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas\nState/IDCountyNearest infrastructureChemicalConcentration (μg/m\n3)ATSDR MRLs exceededEPA IRIS cancer risk exceededAR-3136-003Faulkner355 m from compressorFormaldehyde36C1/10,000AR-3136-001Cleburne42 m from compressorFormaldehyde34C1/10,000AR-3561Cleburne30 m from compressorFormaldehyde27C1/10,000AR-3562Faulkner355 m from compressorFormaldehyde28C1/10,000AR-4331Faulkner42 m from compressorFormaldehyde23C1/10,000AR-4333Faulkner237 m from compressorFormaldehyde44C, I1/10,000AR-4724Van Buren42 m from compressor1,3-butadiene8.5n/a1/10,000AR-4924Faulkner254 m from compressorFormaldehyde48C, I1/10,000C = chronic; I = intermediate.Table 5\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania\nState/IDCountyNearest infrastructureChemicalConcentration (μg/m\n3)ATSDR MRLs exceededEPA IRIS cancer risk exceededPA-4083-003Susquehanna420 m from compressorFormaldehyde8.31/10,000PA-4083-004Susquehanna370 m from compressorFormaldehyde7.61/100,000PA-4136Washington270 m from PIG launcha\nBenzene5.71/100,000PA-4259-002Susquehanna790 m from compressorFormaldehyde61C, I, A1/10,000PA-4259-003Susquehanna420 m from compressorFormaldehyde59C, I, A1/10,000PA-4259-004Susquehanna230 m from compressorFormaldehyde32C1/10,000PA-4259-005Susquehanna460 m from compressorFormaldehyde34C1/10,000C = chronic; A = acute; I = intermediate.\naLaunching station for pipeline cleaning or inspection tool.Figure 2\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde).Figure 3\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene.Figure 4\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming\n\nC = chronic; A = acute; I = intermediate.\n\naInfrastructure used to pull and replace a well completion.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas\n\nC = chronic; I = intermediate.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania\n\nC = chronic; A = acute; I = intermediate.\n\naLaunching station for pipeline cleaning or inspection tool.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde).\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene.\n\nConcentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene.", "Nine of the ten grab samples contained volatiles above ATSDR MRLs or EPA IRIS risk levels. Seven contained high concentrations of hydrogen sulfide (one was over 600× the ATSDR acute MRL) and three contained high levels of benzene, including one over 12,000× the ATSDR acute MRL. The sample with the highest benzene concentrations also contained 480,000 micrograms per cubic meter of heptane, 3,100,000 micrograms per cubic meter of pentane, and 4,100,000 micrograms per cubic meter of butane, all hydrocarbons that are frequently associated with methane. These hydrocarbon concentrations exceeded occupational health standards (NIOSH recommended exposure limits). Four of the seven samples with high levels of hydrogen sulfide were taken in northeast Park County (near Deaver), and three of the four samples with high benzene levels were taken in northwest Park County (near Clark). One of the five passive samples contained formaldehyde at levels that exceeded ATSDR MRLs and the 1/10,000 cancer risk level (Table 3, Figure 2).", "Four of the five grab samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS risk levels. One sample contained six volatiles exceeding these levels, including benzene at 75× the ATSDR acute MRL and 22× the EPA IRIS 1/10,000 cancer risk level. A second sample contained three volatiles exceeding ATSDR or EPA IRIS levels and also contained 4,167,000 micrograms per cubic meter of methane, an amount that exceeds its occupational health standard (Threshold Limit Value). None of the passive samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS cancer risk levels (Table 3, Figure 2).", "One of the 8 grab samples, and 7 of the 13 passive samples, contained volatiles above ATSDR MRLs or EPA IRIS risk levels. One of the passive samples (taken at a residence) had formaldehyde levels that were close to the ATSDR MRL and exceeded EPA’s 1/10,000 cancer risk level (Table 4, Figure 3).", "One of the four grab samples contained benzene at concentrations that exceeded the EPA 1/100,000 cancer risk level. Six of the ten passive samples contained formaldehyde at levels that exceeded ATSDR MRLs or EPA IRIS risk levels. Two of the samples exceeded both the acute MRL and the 1/10,000 cancer risk level (Table 5, Figure 4).", "One of the five grab samples contained 41 micrograms per cubic meter of hydrogen sulfide and exceeded the ATSDR intermediate MRL. None of the passive samples had volatiles exceeding the ATSDR MRLs or EPA IRIS risk levels.", "None of the four grab samples or five passive samples contained volatiles at concentrations that exceeded the ATSDR MRLs or EPA IRIS risk levels.", "We reviewed air quality monitoring by state agencies in the five states covered by our sampling. We reviewed one study in Arkansas, seven in Colorado, one in Ohio, four in Pennsylvania, and one in Wyoming. Most of the studies measured VOC levels, two included hydrogen sulfide, and seven included methane and/or other hydrocarbons. Sampling durations ranged from four hours to 24 months; five of the studies lasted more than four weeks. Target compounds were detected in all studies that have been completed, including mixtures of 42 non-methane VOCs. None of the studies concluded that detected compounds posed significant human health risk (Table 6).Table 6\nFive-state survey of air quality monitoring studies, unconventional oil and gas operations\nAgency (year)Target compoundSampling equipmentSample sitesDurationRepresentative findingsADEQ (2011)VOCs (total)NONO2\nPID (fixed)PID (handheld)4 compressor stations6 drilling sites3 well sites (fracking)1 upwind1 d (4–6 hrs.)VOCs “almost always below or near detection limits”VOCs at drilling sites elevated (ave. 38–678 ppb; max. 350–5,321 ppb)NO/NO2 rarely exceed detection limitsCDPHE (2012)NMOCs (78)MethaneCanister1 well pad (Erie)3 wks.Detects = 42 of 78 compounds in >75% of samplesBenzene “well within EPA’s acceptable cancer risk range”Acute and chronic HQs “well below” 1CDPHE (2009)NMOCs (78)VOCsPM2.5\nCanisterPID (handheld)Filter (handheld)8 wells (4 drilling, 4 completion)1 dTotal NMOC ave. 273 – 8,761 ppb at 8 sitesTotal VOC ave. 6–3,023 ppb at 8 sitesPM2.5 ave. 7.3 - 16.7 μg/m3 at 8 sitesCDPHE, GCPHD (2007)VOCs (43)PM10\nCanisterFilter14 sites7 sites24 mos.Detects = 15 of 43 compoundsBenzene ave. 28.2 μg/m3, max 180 μg/m3 (grab)Toluene ave. 91.4 μg/m3, max 540 μg/m3 (grab)CDPHE (2003–2012)NMOCsCarbonylsCanister5 sites (2003)6 sites (2006)3+ sites (2012)2 mos.Methane ave. 2,535 ppb (Platteville) vs. (1,780 ppb Denver)Top NMOCs in Platteville = ethane, propane, butaneBenzene, toluene higher in PlattevilleCDPHE (2002)VOCs (42)SO2\nNO, NO2\nCanisterContinuous2 well sites1 residential1 active flare2 up-, down-valley1 background1 mo.Detects = 6 of 42 VOCsBenzene in 6 of 20 (2.2-6.5 μg/m3)Toluene in 18 of 20 (1.5-17 μg/m3)OEPA (2014)VOCs (69)VOCsPM10/PM2.5\nH2SCOCanisterGC/MSFilter1 well site1 remote site12 mos.Ongoing; data update provided in February 2014Detects include BTEX, alkanes (e.g., ethane, hexane), H2SSecond site planned near processing plantPA DEP (2010)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 condensate tank1 wastewater impoundment1 background5 wks.Detects include methane, ethane, propane, benzene (max. 758 ppb)No conc.’s “that would likely trigger air-related health issues”Fugitive gas stream emissionsPA DEP (2011)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 completed well1 well site (fracking)1 well (tanks, separator)1 background4 wks.Detects include BTEX (benzene max. 400 ppb), methylbenzenesNo conc.’s “that would likely trigger air-related health issues”Fugitive emissions from condensate tanks, pipingPA DEP (2011)VOCs (48)AlkanesCanisterOP-FTIRGC/MS2 compressor stations1 well site (flaring)1 well site (drilling)1 background4 wks.Detects include benzene (max. 400 ppb), toluene, ethylbenzeneNatural gas constituent detects near compressor stationsConc.’s “do not indicate a potential for major air-related health issues”PA DEP (2012)CriteriaVOCs/HAPsMethaneH2S“Full suite”1 gas processing2 large compressor stations1 background12 mos.Ongoing; report due in 2014WDEQ (2013)VOCs/NMHCsOzoneMethaneNO, NO2\nPM10/PM2.5\nCanisterUV PhotometricFIDChemiluminescenceBeta Attenuation7 permanent stations (e.g., Boulder, Juel Spring, Moxa)3 mesonet stations (Mesa, Paradise Warbonnet)2 mobile trailer locations (Big Piney, Jonah Field)OngoingWDEQ mobile monitors placed at locations w/ oil & gas developmentMini-SODAR also placed adjacent to Boulder permanent station“Relatively low concentrations” of VOCs found in canister samplesVOCs “consistently higher” at Paradise site (near oil & gas sources)BTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound.\n\nFive-state survey of air quality monitoring studies, unconventional oil and gas operations\n\nBTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound.", "We identified significant concentrations of four well-characterized chemicals: benzene, formaldehyde, hexane, and hydrogen sulfide. Benzene was detected at sample locations in Pennsylvania and Wyoming. Concentrations exceeded health-based risk levels by as many as several orders of magnitude. Previous studies similarly found benzene concentrations near oil and gas development [10, 11]. Our monitors detected benzene at higher concentrations (5.7 – 110,000 μg/m3) than those found in the published literature. The results are of concern given their proximity to subdivisions, homes, and farms. In Wyoming, multiple samples with high benzene concentrations were taken on residential property 30–350 yards from the nearest well, or on farmland along the perimeter of a well pad. Equipment included separators, compressor stations, discharge canals, and pipeline cleaning operations. The results suggest that existing regulatory setback distances from wells to residences may not be adequate to reduce human health risks [61]. Setbacks from wellheads to homes and other occupied structures cluster around the 150 to 500 feet range in the five states (see Table 1). We found high concentrations of volatile compounds at greater distances, including formaldehyde (up to 2,591 feet) and benzene (up to 885 feet). High levels of benzene near oil production wells indicate that EPA should revisit the extent to which oil wells are addressed in its new source performance standards [62].\nBenzene is a known human carcinogen. Chronic exposure to benzene increases the risk of leukemia [63]. The increased risk occurs at low levels of exposure with no evidence of threshold level [64]. Benzene exposure increases risk of birth defects [65], including neural tube and other defects found near natural gas development [24]. Respiratory effects include pulmonary edema, acute granular tracheitis, laryngitis, and bronchitis [60].\nUOG fields present multiple sources and exposure routes for benzene. Benzene occurs naturally in shale and other hydrocarbon deposits, and is vented, flared, or released as fugitive emissions along numerous points of production, such as wells, production tanks, compressors, and pipelines [6]. It can volatize and disperse from flowback and produced water at drilling sites and remain in the air for several days [66]. It was among the first pollutants found in air samples near shale gas operations [67]. Previous studies found benzene to be the largest contributor to excess lifetime cancer risk near gas fields [12]. Residents exposed to VOCs including benzene experience immediate health symptoms and illness. Within days after a flaring event at a Texas City refinery, children exhibited altered blood profiles, liver enzymes, and somatic symptoms [68]. Future research is needed to determine whether the concentrations of benzene we measured are due to continuous releases or flaring, fugitive emissions, or facility upsets.\nFormaldehyde is another volatile compound that exceeded health-based risk levels near compressor stations in Arkansas, Pennsylvania, and Wyoming. As with benzene, there are known sources of formaldehyde emissions along the production chain. Formaldehyde is a product of incomplete combustion emitted by natural gas-fired reciprocating engines at compressor stations [69]. Formaldehyde is also formed from methane in the presence of sunlight, which may be an important source given significant amounts of methane that are known to escape from UOG sites [70]. But air monitoring studies, particularly in shale gas regions, either do not measure for formaldehyde [12, 14] or find it at lower concentrations. For example, the Barnett Shale Energy Education Council [71] found levels that did not pose a risk to human health. Colborn et al. [10] found formaldehyde and acetaldehyde in each of 46 samples with a mean of 1.0 part per billion by volume. In contrast, our CBPR framework resulted in the targeting of compressor stations for passive sampling, where diesel emissions likely account for the higher levels that we found. Our results are similar to the Fort Worth Natural Gas Air Quality Study, which found formaldehyde concentrations in areas with multiple large compressor engines [72]. We found high concentrations of formaldehyde near fourteen compressor stations in three states.\nFormaldehyde is a suspected human carcinogen [73]. It can affect nearly every tissue in the human body, leading to acute (dermal allergies, asthma) and chronic (neuro-, reproductive, hematopoietic, genetic and pulmonary toxicity and cellular damage) health effects [74]. The science of childhood exposure to formaldehyde is progressing rapidly [75]. State agencies and international organizations continue to lower exposure limit values and guidelines for formaldehyde [76]. Our results exceed those guidelines. Symptoms reported by community members mirror the effects of acute formaldehyde exposure, which causes irritation of the eyes, nose, throat, and skin.\nOther volatiles of concern included hexane and hydrogen sulfide. Hexane detects were most prevalent near oil and gas operations in Wyoming near well pads, compressor stations, separators, and produced water discharges. Other studies in oil and gas regions found hexane, but at low concentrations [10, 12]. The circumstances under which high concentrations of hexane were found in Wyoming suggest a combination of leaks, spills, and fugitive emissions as potential causes. Acute exposure to hexane affects the central nervous system, causing dizziness, nausea, and headache. Chronic effects include neurotoxicity [77].\nWe also found elevated levels of hydrogen sulfide in Wyoming along the chain of production (pump jacks, produced water discharge impoundments, discharge canals) and near a well pad in Colorado. Hydrogen sulfide is a broad-spectrum toxicant that can impact most organ systems [78]. As such, it contributes to a range of short- and long-term neurological, upper respiratory, and blood-related symptoms, including those that were prevalent among community samplers in Wyoming (headaches, dizziness, eye irritation, fatigue) [79]. Hydrogen sulfide is a natural component of crude oil and natural gas [5] and is released during many industrial processes. In addition, five samples from Wyoming exceeded ATSDR health-based risk levels for toluene and xylenes.\nHealth-based risk levels provide only a limited sense of potential human health impacts from air emissions. They do not fully account for vulnerable subpopulations, and toxicity values are available for a comparatively small number of compounds. The levels that we found for the above chemicals of concern suggest that state monitoring studies are incomplete. Recent state-funded projects found air volatiles at UOG sites that were either near detection limits or within acceptable limits to protect the public [80–82]. One area of agreement between our community-based and state monitoring studies concerns the presence of complex chemical mixtures. These mixtures demonstrate the contingent nature of ambient air quality near UOG infrastructure.\nFor example, one sample, taken midday in early winter near a well pad in Wyoming with clicking pneumatic pumps, found high concentrations of hydrogen sulfide, hexane, benzene, and xylenes. It also captured cyclohexane, heptane, octane, ethylbenzene, nonane, 1,2,4-trimethylbenzene, and 15 tentatively identified compounds (TICs). TICs are compounds that a device or analytic process is not designed to measure. Total VOC concentrations in the sample exceeded 1.6 million μg/m3, excluding methane. While toxicity values are not available for every TIC in our samples, they exceeded reference concentrations available for related compounds such as hexane [77]. Another sample taken in Arkansas, during autumn in the afternoon near a compressor station, captured 17 volatile compounds and five TICs. A third sample, near a separator shed in Wyoming in late autumn at midday, showed spikes in hydrogen sulfide, benzene, and hexane, 19 additional VOCs, and 15 TICs, with total VOC concentrations exceeding 25 million μg/m3, excluding methane. These and other complex mixtures are provided in Additional file 1.\nThe mixtures that we identified are related to sources commonly used in well pad preparation, drilling, well completion, and production, such as produced water tanks, glycol dehydrators, phase separators, compressors, pipelines, and diesel trucks [14]. They can be released during normal operating conditions and persist near ground level, especially in regions where topography encourages air inversions [83]. The toxicity of some constituents is well known, while others have little or no toxicity information available. Our findings of chemical mixtures are of clinical significance, even absent spikes in chemicals of concern. The chemical mixtures that we identified should be further investigated for their primary emissions sources as well as their potential cumulative and synergistic effects [84]. Clinical and subclinical effects of hydrocarbons such as benzene are increasingly found at low doses [85]. Chronic and subchronic exposure to chemical mixtures is of particular concern to vulnerable subpopulations, including children, pregnant women, and senior citizens [86].\nApart from chemicals of concern (including known and suspected human carcinogens) and chronic exposure to complex mixtures, our findings point to the value of community-based research to inform state testing protocols. Air quality near the diverse range of equipment and stages of UOG development is inherently complex. While states sometimes rely on state-of-the-art technologies such as wireless sensors to characterize local air quality, they continue to collect only a “snapshot” of near-field conditions. For example, Arkansas carried out a technologically ambitious program, placing multi-sensor gas monitors on five-foot tripods along each perimeter of a well pad at several sites. AreaRAEs (the trade name for a wireless monitor produced by RAE Systems) use electrochemical sensors to measure nitrous oxides and a photoionization detector to determine VOC concentration. The continuous monitors wirelessly transmitted data at five-second intervals over a four- to six-hour period (see Table 6). In addition, Arkansas Department of Environmental Quality (ADEQ) personnel carried handheld versions of the AreaRAE along the perimeter of the sites every one or two hours. While the study did not identify individual VOCs, it found that total VOC emissions at the edge of a well pad fluctuate wildly over a five-hour period. The agency concluded, “The spatial and temporal distribution of VOC concentrations at most drilling sites was significantly affected by monitor location, wind, and the interaction between location and wind direction” [81]. Other studies noted similar variation, although the extent to which short-term spikes and unique chemical mixtures might pose a risk to human health was not considered.\nCommunity-based research can improve the spatial and temporal resolution of air quality data [87] while adhering to established methods. Our findings can inform and calibrate state monitoring and research programs. Additional file 1: Table S6 gives a more in-depth overview of community monitoring in action, including sample site selection factors, sources of public health concern at each site, and the range of infrastructure present and life cycle stage when samples were taken. For example, grab samples in Wyoming with some of the highest VOC concentrations were collected during production, as opposed to well completion (see Table S6, Additional file 1). The timing and location of our samples were driven by two primary factors: local knowledge gleaned from daily routines, and a history of chronic or subchronic symptoms reported by nearby residents. For example, a separator shed was targeted because of subchronic symptoms (dizziness, nausea, tight chest, nose and throat problems, metallic taste, and sweet smell) and loud sounds nearby (“hissing, clicking, and whooshing”). Well pads were selected based on impacts to livestock, pasture degradation from produced water, and observations of residents and farmers. Other samples were driven by observations of fugitive emissions, including vapor clouds, deposition, discoloration, and sounds (see Table S6 in Additional file 1).\nCommunity-based research can identify mixtures, and their potential emissions sources, to prioritize for study of their additive, cumulative, and synergistic effects [88]. The mixtures can be used to determine source signatures [14] and isolate well pads for more intensive monitoring. Symptom-driven samples can define the proper length of a sampling period, which is often limited to days or weeks. They can inform equipment placement for continuous monitoring and facilitate a transition from exploratory to more purposive sampling. Testing informed by human health impacts, and more precise knowledge of the mix and spacing of sources that may contribute to them, contrasts with state efforts, which are limited by access to property, sources of electrical power, fixed monitoring sites, and the cooperation of well pad owners and operators. In these ways, community-based monitoring can extend the reach of limited public resources.", "Community-based monitoring near unconventional oil and gas operations demonstrates elevations in concentrations of hazardous air pollutants under a range of circumstances. Of special concern are high concentrations of benzene, hydrogen sulfide, and formaldehyde, as well as chemical mixtures linked to operations with observed impacts to resident quality of life.", " Additional file 1:\nContains six tables, including complete results from grab and passive sampling (Tables S1 through S5) and data on sample location selection in Wyoming (Table S6).\n(DOC 174 KB)\nAdditional file 1:\nContains six tables, including complete results from grab and passive sampling (Tables S1 through S5) and data on sample location selection in Wyoming (Table S6).\n(DOC 174 KB)", "Additional file 1:\nContains six tables, including complete results from grab and passive sampling (Tables S1 through S5) and data on sample location selection in Wyoming (Table S6).\n(DOC 174 KB)" ]
[ null, "methods", "results", null, null, null, null, null, null, null, null, "discussion", "conclusions", "supplementary-material", null ]
[ "Benzene", "Community monitoring", "Formaldehyde", "Grab and passive samples", "Hydraulic fracturing", "Hydrogen sulfide", "Oil and gas" ]
Background: New drilling and well stimulation technologies have led to dramatic shifts in the energy market. The Energy Information Administration forecasts that by the 2030s, the United States will become a net exporter of petroleum liquids such as shale oil [1]. Already an exporter of natural gas, the U.S. will retrieve nearly half of its gas from shale formations by that time [2]. Reserves such as shale oil and gas are referred to as “unconventional” because fuels within them do not readily flow to the surface [3]. Instead, they are distributed among tight sandstone, shale, and other geologic strata. Intensive practices are used to retrieve them, such as directional drilling (many kilometres underground and one or more kilometres horizontally through a formation) and hydraulic fracturing to break up the formation and ensure movement through source rock (using millions of gallons of water mixed with chemicals and sand, or “proppants”) [4]. These technologies present public health challenges, including threats to air quality [5–7]. Unconventional oil and gas (hereinafter “UOG”) development and production involve multiple sources of physical stressors (e.g., noise, light, and vibrations) [6], toxicants (e.g., benzene, constituents in drilling and hydraulic fracturing fluids) [8], and radiological materials (e.g., technologically-enhanced, naturally-occurring radioactive material) [9], including air emissions [10, 11]. Air quality near UOG sites is an underexplored human health concern for several reasons. For a time, environmental scientists and regulators were primarily interested in potential impacts to surface and groundwater quality. High-profile impacts and the subsurface nature of technologies (e.g., hydraulic fracturing) encouraged this research trajectory [12]. This was true despite the fact that UOG development brings to the surface, in the case of natural gas, methane (78.3%), non-methane hydrocarbons (17.8%), nitrogen (1.8%), carbon dioxide (1.5%), and hydrogen sulfide (0.5%) [13]. These constituents, as well as emissions from combustion processes at the surface, are released to the air throughout the life cycle of a productive well [14]. Air emissions from UOG operations have been generally understood for some time – volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs), and criteria air pollutants such as NOx and PM2.5 can be released at the wellhead, in controlled burns (flaring), from produced water storage pits and tanks, and by diesel-powered equipment and trucks, among other sources [15]. Yet the full range of emissions from drilling, well completion, and other activities remains elusive. New source categories are discovered, emissions from life cycle stages such as transmission and well abandonment have yet to be determined, and even stages such as drilling continue to present uncertainty [16]. We do not understand the extent of drilling-related air emissions as pockets of methane, propane, and other constituents in the subsurface are disturbed and released to the atmosphere [17]. Emissions measurements during flowback vary by orders of magnitude [18]. These and other data gaps limit the accuracy of state and federal emissions inventories, which compile and track known emissions sources. Inventories are also limited by self-reporting and data collection, and rely in some cases on outmoded emissions factors [15]. Flawed inventories constrain human health risk assessment and other research [7] and slow the identification of phenomena such as photochemical ozone production during winter months [19]. State pollution monitoring networks also constrain research on the air impacts of UOG development. Historically, air quality monitoring targeted urban areas, and criteria air pollutants such as particulate matter and ozone precursors were the primary chemicals of concern [10]. Monitoring stations were designed to ensure compliance with National Ambient Air Quality Standards (NAAQS) for a half-dozen pollutants. Even networks that focus on oil and gas emissions, such as one operated by public health officials in Garfield County, Colorado, do not target individual well pads. The Garfield County network encompasses five sites to monitor a suite of VOCs and (at three sites) particulate matter, in a jurisdiction that covers nearly 3,000 square miles of complex terrain [20]. The Texas Commission on Environmental Quality has arguably the most extensive monitoring network for UOG air emissions in oil and gas regions. Its monitors were sited to minimize urban source impacts and target locations where the public might be exposed to air emissions [21]. Still, its networks can be sparse; there are five permanent monitoring stations in the Eagle Ford Shale region, where 7,000 oil and gas wells have been drilled since 2008 [22]. These and other limited networks potentially mask local hot spots, the effects of unique topography, and fugitive emissions at certain well pads. Even a denser monitoring network taking continuous samples may be unable to capture the full range of air impacts of UOG operations. Sources of variability of air emissions and concentrations of VOCs and other pollutants near UOG sites include: (1) the spatial variability of UOG operations; (2) the discontinuous use of equipment such as diesel trucks, glycol dehydrators, separators, and compressors during preparation, drilling, hydraulic fracturing, well completion, and other stages; (3) the composition of shale and other formations and the specific constituents of the drilling and hydraulic fracturing fluids used on-site (which can influence the makeup of produced or flowback water stored in pits and tanks); (4) intermittent emissions from venting, flaring, and leaks; (5) the shifting location, spacing, and intensity of well pads in response to market conditions, improvements in technology, and regulatory changes; (6) the effects of wind, complex terrain, and microclimates; and (7) considerable differences among states in permitting, leak detection and repair, and other requirements [10, 16, 23–25]. Wind, for example, can influence outdoor and indoor concentrations of air pollutants. Brown et al. found that local air movement and mixing depth contribute to peak exposure to VOCs one mile from a compressor station [25]. Colborn et al. noted the role of wind and topography in higher VOC concentrations during winter months, when inversions trap air near ground level [10]. Fuller et al. identified wind speed and wind direction as significant predictors of indoor particulate matter levels near highways [26]. Similar variation can be found within and across geologic formations. Unconventional wells in the Barnett Shale play, for example, differ considerably in terms of reservoir quality, production rates, and recoverable gas [27]. Domestic shale gas plays exhibit even greater diversity, including depth and thickness of recoverable resources, the amount and range of chemicals present in produced water, and the presence of constituents such as bromide, naturally occurring radioactive material, hydrogen sulfide, and other toxic elements [23, 28]. These and other sources of variability, and the adaptive drilling and well completion techniques they encourage, complicate the design of setback and well spacing rules that are protective of the public. They also explain why air quality studies carried out in UOG regions yield conflicting results. For example, McKenzie et al. [11] found greater cumulative cancer risks and higher non-cancer hazard indices for residents living less than 0.5 miles from certain well pads in Colorado, while Bunch et al. [21] analyzed data from monitors focused on regional atmospheric concentrations in the Barnett Shale region and found no exceedance of health-based comparison values. Colborn et al. [10] gathered weekly, 24-hour samples 0.7 miles from a well pad in Garfield County, and noted a “great deal of variability across sampling dates in the numbers and concentrations of chemicals detected.” Eapi et al. [29] found substantial variation in fenceline concentrations of methane and hydrogen sulfide, which could not be explained by production volume, number of wells, or condensate volume at natural gas development sites. Institutional factors also influence research on ambient air quality near UOG sites. Congressional exemption of oil and gas operations from provisions of the Clean Air Act, Clean Water Act, Safe Drinking Water Act, Emergency Planning and Community Right-to-Know Act, and other statutes limits data collection on the impacts of oil and gas development [30, 31]. In addition, the peer-reviewed literature is divided between “top-down” and “bottom-up” treatments of air quality. The first set of studies explores the impact of UOG operations on regional air quality, with a concern for methane emissions and ozone precursors in regions such as the Green River Basin in Wyoming [32], the Uintah Basin in northeastern Utah [33], and the Denver-Julesburg Basin, home of the Wattenberg Field in northeastern Colorado [34]. These studies rely on airborne and tower measurements, and are at times supplemented by ground measurements such as mobile monitoring. For example, Petron et al. [35] found a strong alkane signature downwind from the Denver-Julesburg Basin, based on samples taken at a 300-m tall tower (the National Oceanic and Atmospheric Administration Boulder Atmospheric Observatory) and a mobile monitoring unit. In the Uintah Basin, where winter ozone levels exceeded the NAAQS 68 times in 2010, Helmig et al. [36] carried out vertical profiling of ozone precursors at a tower at the northern edge of a gas field. They found levels of atmospheric alkanes during temperature inversion events in 2013 that were 200–300 times greater than regional background. These and other “top-down” studies are also used to estimate methane leakage, which is helpful in comparing the climate-forcing impact of UOG to the use of coal-fired power plants. Loss rate estimates for methane and other hydrocarbons vary considerably by study, from 17% [37] (Los Angeles Basin) to 8.9% [38] (Uintah Basin) (6.2-11.7%, 95% C.I.) to 4% [35] (Denver-Julesburg Basin) (2.3-7.7%, 95% C.I.). A number of studies share the finding that EPA underestimates methane leakage rates across the life cycle (their estimate was 1.65% in 2013) [16], but others, extrapolating from emissions factors and/or direct measurement, produce estimates as low as 0.42% [18]. None of these studies attempts to characterize air concentrations within residential or publicly-accessible areas near UOG operations. Other studies follow a “bottom-up” approach to air quality, which is limited by access to well pads and other infrastructure, the availability of a power source for monitoring equipment, the stage of operation underway, scheduled or unscheduled flashing, flaring, and fugitive releases, or movement of truck traffic and equipment at or near a well pad during a given sampling period. Thus, bottom-up studies vary in terms of distance to site, sample frequency, and chemicals targeted. This helps explain the range of findings in the published literature. Nevertheless, existing research gives support to resident reports of acute and long-term health symptoms and other reductions in quality of life. Even as they offer conflicting evidence of the relative importance of one stage of production or another to air emissions [10, 11], or differ in their ultimate conclusion regarding the existence [10, 11, 14, 35, 36, 39] or lack [21, 40, 41] of human health threats from air emissions, they find VOC concentrations in ambient air considerable distances from well pads, including in residential areas and public spaces. The research questions that guide existing studies create a final barrier to our ability to characterize air emissions in UOG regions. Top-down studies are motivated by questions such as identifying sources of regional nonattainment of ozone standards, or estimating methane and other hydrocarbon leakage rates from UOG operations. Bottom-up research gathers data from one or a limited number of well pads, chosen for reasons such as access or cooperation by owners and operators. The data are used to discuss general exposure conditions for an often-hypothetical community, or used to derive a risk factor. In either mode of study, resident exposure does not directly motivate the sampling protocol. Rather, it is considered obliquely in a study’s choice of sample location (e.g., a one that is “near a small community”), assumed in measurements of concentrations within a certain distance of UOG activity, or ignored. What are missing from these studies are protocols grounded in a community’s experience of air quality impacts of UOG operations. Our multi-state air quality monitoring study uses a community-based, participatory research (CBPR) design to explore conditions near UOG operations [42]. Its sampling protocol is based not on access to a well pad, data needs conditioned by an existing averaging standard, or regional policy concerns. Rather, we partnered with residents in UOG regions to measure air quality under circumstances that, given local knowledge of operations (e.g., emissions from particular equipment or intermittent practices) gained through daily routines (e.g., regular observation of well pads) and use of public and private spaces nearby (e.g., livestock movement, farming) were viewed by community members as potential threats to human health. Existing studies often lack a data set suitable for statistical analysis. When such analyses are occasionally imposed on bottom-up data sets, they explain only a fraction of the variance in air quality outcomes. For example, the highest R2 values in a study of 66 sites, which, due to the study’s broad spatial range was limited to measurements of methane and hydrogen sulfide, were 0.26 (H2S concentration vs. condensate volume nearby) and 0.17 (H2S and number of wells nearby) [29]. CBPR studies, by comparison, are place-based – they begin with the experience of a population in order to identify environmental stressors and explore the heterogeneity of circumstances under which they arise [43, 44]. Rather than discount these circumstances for lack of statistical power, they can be used to define the scope of confirmatory studies, tailor air quality monitoring networks and studies, or suggest novel pollution control measures and best management practices. Methods: We explore air quality at a previously neglected scale: near a range of UOG development and production sites that are the focus of community concern. Residents conducted sampling in response to operational conditions, odor events, and a history of the onset of acute symptoms. Residents selected sampling sites after they completed a training program run by Global Community Monitor (GCM), an organization that has developed and modified community-based sampling protocols for more than twenty years. Sampling is designed to obtain accurate readings of public exposure near UOG development in the part-per-billion range [45]. Training sessions followed a written manual on proper sampling protocol and included instruction by experienced members of GCM in a classroom setting for five hours. In addition, samplers were trained in the field to properly demonstrate Quality Assurance/Quality Control (QA/QC) methods, such as use of data sheets and chain of custody records, sampling procedures including not taking samples in the presence of vehicle traffic or other sources of VOCs, and protocols for storage and delivery to an analytic laboratory [45]. Chain of Custody forms provided by the laboratory were explained and filled out in exercises in which each sampler participated. The trainings for community-based air sampling and related QA/QC measures were developed in conjunction with the Environmental Protection Agency under the federal Environmental Monitoring for Public Access and Community Tracking (EMPACT) program, and refined in cooperation with agencies including the Health Services Department of Contra Costa County, California and the Delaware Department of Natural Resources [46, 47]. Any sample that did not meet QA/QC criteria was not included in the final data set. Community monitors gauged industrial activity using field log sheets (“pollution logs”) that allow each resident to record what they see, hear, feel, smell, and taste in areas downwind of industrial activity as they go about their daily routines. Each community monitor participated voluntarily in data collection for this study. They provided consent to use data gathered with questionnaires that they co-designed as well as grab and passive samplers. Residents documented activity including: (a) visible emissions drifting off-site; (b) odors that appear to derive from a site; (c) acute health symptoms that occur while in proximity to a site or during a specific industrial activity; (d) audible sounds of particular equipment in use within the boundaries of an operating well pad or related infrastructure; and (e) visible activity on-site, including the number and types of heavy trucks and tanks, vehicle traffic, workers present and job categories, and physical changes such as noise and vibrations near certain equipment. Similar to a neighborhood police watch, each resident determined locations that they would continue to observe and potentially return to for sampling. Sampling for volatile compounds other than formaldehyde was carried out using methods described in O’Rourke and Macey [48] and Larson et al. [49] using an evacuated sampling (“bucket”) vessel modelled after the Summa canister [50]. The bucket is inexpensive, portable, and consists of a 10-liter Tedlar bag and vacuum to take a grab sample of air for two to three minutes (Figure 1). Air is collected using a battery-operated pump that forces air out of the bucket. Negative pressure created inside the sealed bucket by the external vacuum pump opens the bag when a stainless steel bulkhead is opened. After taking the sample, the Tedlar bag is sealed and sent to an analytical laboratory. The bucket sampler operates on the same principle that Summa canisters employ. Rather than collect a sample in a stainless steel can, the bucket contains a special bag made of Tedlar to hold the sample. Bags are obtained from the laboratory that processes the sample and purged three times with pure nitrogen by the laboratory prior to use. GCM’s founder developed the sampling program under a project for Communities for a Better Environment, a non-profit organization founded in 1978 that provides legal, scientific, and technical assistance to heavily polluted communities. The device has been subjected to numerous validation tests organized by government agencies and independent laboratories [51–54]. Refinements include the use of field duplicates, which demonstrate no significant variation in results across comparison studies [45].Figure 1 Design of bucket grab sampling device. Design of bucket grab sampling device. Residents collected 35 grab samples at locations of community concern, under conditions that would lead them to register a complaint with relevant authorities such as a county public health department or state oil and gas commission. Health symptoms contributed to the decision to take a grab sample on 29 occasions. The most common symptoms reported by samplers were headaches (17 reports), dizziness or light-headedness (13 reports), irritated, burning, or running nose (12 reports), nausea (11 reports), and sore or irritated throat (11 reports). Further details regarding each sample are provided in Additional file 1 (Tables S1 through S5). In addition to grab samples, 41 formaldehyde badges were deployed in the five states targeting production facilities and compressor stations based on the results of pollution patrols. UMEx100 Passive Samplers for Formaldehyde are manufactured by SKC Inc. Samplers were placed near operating compressor stations and production facilities for a minimum of eight hours. Samples were ultimately collected near production pads, compressor stations, condensate tank farms, gas processing stations, and wastewater and produced water impoundments in five states (Arkansas, Colorado, Ohio, Pennsylvania, and Wyoming). The states were chosen to reflect a diverse range of urban and rural communities, operations (e.g., number of wells permitted and developed), history of development, and stages of production (see Table 1).Table 1 Oil and gas operations by state StateDrilling permits issued (year)WellsProductionSetback requirements (dwellings and occupied structures)Ambient air quality standardsDrilled (year)Producing (year)Gas (Tcf) (year)Oil (MMbbl) (year)AR~ 890 (2012)a --8,538 (gas) (2012)b 1.15 (2012)b 6.59 (2012)a 200 ft. (from produced fluids storage tanks to habitable dwelling)20 ppm (5 min.); 80 ppb (8-hr.) (H2S)c ~ 1,090 (2011)a 300 ft. (from produced fluids storage tanks to school, hospital, or other public use building)CO4,025 (2013)a --46,697 (2014)d 1.71 (2012)b 64.88 (2013)a 500 ft. (from well to home or building, absent waiver)--c, e 3,775 (2012)a 1,000 ft. (from well to high occupancy building, absent hearing and approval)OH903 (2012)a 553 (2012)a 51,739 (2012)a .084 (2012)b 4.97 (2012)a 150 ft. (occupied dwelling in urbanized area, absent consent)--c, e 690 (2011)a 150 ft. (occupied or public dwelling, non-urban area)200 ft. (occupied dwelling w/in drilling unit due to mandatory pooling)PA4,617 (2013)a 2,174 (2013)a 55,812 (2011)f 2.26 (2012)b 2.7 (2011)a 500 ft. (from well bore to building or water well)0.1 ppm (1-hr.); 0.005 ppm (24-hr.) (H2S)c, e 4,090 (2012)a WY3,230 (Sept. 2013-Aug. 2014)a --37,301 (2012)a 2.23 (2012)b 57.5 (2012)a 350 ft. (from wellhead, pumping unit, pit, production tank, and/or production equipment to residence, school, or hospital)40 μg/m3 (half-hr. ave., 2x w/in 5 days) (H2S)c, e aState agency data. bU.S. Energy Information Administration data. cIn addition to National Ambient Air Quality Standards for criteria air pollutants and federal emissions standards – new source performance standards (40 C.F.R. §§ 60.5360 - 60.5430) and national emission standards for hazardous air pollutants (40 C.F.R. §§ 63.760 - 63.777) – applicable to the oil and gas industry. dPersonal communication with state agency. eIn addition to state emissions standards (e.g., VOC emissions from glycol dehydrators; green completions; valve requirements for pneumatic devices). See, for example, Colorado Department of Public Health and Environment’s revised Air Quality Control Commission Regulation Numbers 3, 6, and 7 (adopted 23 February 2014). fEarthworks data. Oil and gas operations by state aState agency data. bU.S. Energy Information Administration data. cIn addition to National Ambient Air Quality Standards for criteria air pollutants and federal emissions standards – new source performance standards (40 C.F.R. §§ 60.5360 - 60.5430) and national emission standards for hazardous air pollutants (40 C.F.R. §§ 63.760 - 63.777) – applicable to the oil and gas industry. dPersonal communication with state agency. eIn addition to state emissions standards (e.g., VOC emissions from glycol dehydrators; green completions; valve requirements for pneumatic devices). See, for example, Colorado Department of Public Health and Environment’s revised Air Quality Control Commission Regulation Numbers 3, 6, and 7 (adopted 23 February 2014). fEarthworks data. Air samples were analyzed for 75 volatile organic compounds (VOCs), including benzene, ethylbenzene, acrylonitrile, methylene chloride, toluene, hexane, heptane, and xylene by ALS Laboratories (Simi Valley, CA 93065) using EPA Method TO-15 or TO-3 (methane) by gas chromatograph/mass spectrometer interface to a whole air preconcentrator. Formaldehyde samples were analyzed using EPA Method TO-11A, modified for the sampling device by high performance liquid chromatography with UV detection. Samples were also analyzed for 20 sulfur compounds by ASTM D 5504–08 using a gas chromatograph equipped with a sulfur chemiluminescence detector. All compounds with the exception of hydrogen sulfide and carbonyl sulfide were quantitated against the initial calibration curve for methyl mercaptan. Chemicals of concern were compared to U.S. Agency for Toxic Substances and Disease Registry (ATSDR) minimal risk levels (MRLs) and EPA Integrated Risk Information System (IRIS) cancer risk levels. MRLs are estimates of daily human exposure that can occur without appreciable risk of human health effects. They are derived for acute (1–14 days), intermediate (15–364 days), or chronic (365 days or longer) periods of exposure. The laboratory is certified by ten state departments of health or environment, the American Industrial Hygiene Association, and the U.S. Department of Defense. Results: Table 1 shows the diverse range of operation, including number of wells permitted and developed and setbacks from housing and other occupied structures, in UOG regions where grab and passive air samples were collected through partnership with community-based organizations. Air contaminants We identified unique chemical mixtures at each sample location (see Tables S1 through S5 in Additional file 1). In addition, we identified eight volatile compounds at concentrations that exceeded ATSDR minimal risk levels (MRLs) or EPA Integrated Risk Information System (IRIS) cancer risk levels (see Table 2). Although our samples represent a single point in time, we compared concentrations to acute as well as chronic risk levels as many of the activities that generate volatile compounds near UOG operations are long-duration (the life cycle of an unconventional natural gas well can span several decades) [16]. Residents chose sample locations where odors and symptoms were the “norm” for the area, not a one-time event. In addition, a growing body of research suggests that peak (e.g., 1-hr. maximum), rather than average exposure to air emissions may better capture certain risks to human health [55–57].Table 2 ATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m 3 ) ChemicalATSDR MRLsIRIS cancer risk levelsAcuteIntermediateChronic1/1,000,0001/100,0001/10,000Benzene292010.454.5451,3 butadiene0.030.33Ethylbenzene21,7008,680260Formaldehyde4937100.080.88N-hexane2,115Hydrogen sulfide9828Toluene3,750300Xylenes8,6802,604217 ATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m 3 ) Sixteen of the 35 grab samples, and 14 of the 41 passive samples, had concentrations of volatiles that exceeded ATSDR and/or EPA IRIS levels. ATSDR MRLs and EPA IRIS levels for chemicals of concern are provided in Table 2. The chemicals that most commonly exceeded these levels were hydrogen sulfide, formaldehyde, and benzene. Background levels for these chemicals are 0.15 μg/m3 for hydrogen sulfide, 0.25 μg/m3 for formaldehyde, and 0.15 μg/m3 for benzene [58–60]. Our samples that exceeded health-based risk levels were 90–66,000× background levels for hydrogen sulfide, 30-240× background levels for formaldehyde, and 35–770,000× background levels for benzene. Details of our results are presented in Tables 3, 4, and 5 and in Figures 2, 3, and 4 (greater detail is provided in Additional file 1). A state-by-state summary follows.Table 3 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming State/IDCountyNearest infrastructureChemicalConcentration (μg/m 3)ATSDR MRLs exceededEPA IRIS cancer risk exceededWY-4586Fremont5 m from separatorHydrogen sulfide590I, An/aWY-4586Fremont5 m from separatorBenzene2,200C, I, A1/10,000WY-4586Fremont5 m from separatorToluene1,400Cn/aWY-4586Fremont5 m from separatorEthylbenzene1,200Cn/aWY-4586Fremont5 m from separatorMixed xylenes4,100C, In/aWY-4586Fremont5 m from separatorn-hexane22,000Cn/aWY-1103Fremont20 m from separatorbenzene31C, I, A1/100,000WY-2069Fremont110 m from work-over riga Hydrogen sulfide30In/aWY-4861Fremont5 m from separatorBenzene230C, I, A1/10,000WY-4861Fremont5 m from separatorMixed xylenes317Cn/aWY-4861Fremont5 m from separatorn-hexane2,500Cn/aWY-4478Park25 m from separatorHydrogen sulfide91In/aWY-4478Park25 m from separatorBenzene110,000C, I, A1/10,000WY-4478Park25 m from separatorToluene270,000C, An/aWY-4478Park25 m from separatorMixed xylenes135,000C, I, An/aWY-4478Park25 m from separatorn-hexane1,200,000Cn/aWY-129Park55 m from separatorbenzene100C, I, A1/10,000WY-3321Park5 m from compressorbenzene35C, I, A1/100,000WY-4883-005Park5 m from compressorFormaldehyde46C, I1/10,000WY-4864Park5 m from discharge canalHydrogen sulfide210I, An/aWY-4865Park10 m from discharge canalHydrogen sulfide1,200I, An/aWY-4496Park20 m from well padHydrogen sulfide6,100I, An/aWY-106ParkAdjacent to discharge canalHydrogen sulfide5,600I, An/aWY-184Park15 m from discharge canalHydrogen sulfide240I, An/aWY-187Park15 m from discharge canalHydrogen sulfide66,000I, An/aWY-187Park15 m from discharge canalBenzene23C, I1/100,000C = chronic; A = acute; I = intermediate. aInfrastructure used to pull and replace a well completion.Table 4 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas State/IDCountyNearest infrastructureChemicalConcentration (μg/m 3)ATSDR MRLs exceededEPA IRIS cancer risk exceededAR-3136-003Faulkner355 m from compressorFormaldehyde36C1/10,000AR-3136-001Cleburne42 m from compressorFormaldehyde34C1/10,000AR-3561Cleburne30 m from compressorFormaldehyde27C1/10,000AR-3562Faulkner355 m from compressorFormaldehyde28C1/10,000AR-4331Faulkner42 m from compressorFormaldehyde23C1/10,000AR-4333Faulkner237 m from compressorFormaldehyde44C, I1/10,000AR-4724Van Buren42 m from compressor1,3-butadiene8.5n/a1/10,000AR-4924Faulkner254 m from compressorFormaldehyde48C, I1/10,000C = chronic; I = intermediate.Table 5 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania State/IDCountyNearest infrastructureChemicalConcentration (μg/m 3)ATSDR MRLs exceededEPA IRIS cancer risk exceededPA-4083-003Susquehanna420 m from compressorFormaldehyde8.31/10,000PA-4083-004Susquehanna370 m from compressorFormaldehyde7.61/100,000PA-4136Washington270 m from PIG launcha Benzene5.71/100,000PA-4259-002Susquehanna790 m from compressorFormaldehyde61C, I, A1/10,000PA-4259-003Susquehanna420 m from compressorFormaldehyde59C, I, A1/10,000PA-4259-004Susquehanna230 m from compressorFormaldehyde32C1/10,000PA-4259-005Susquehanna460 m from compressorFormaldehyde34C1/10,000C = chronic; A = acute; I = intermediate. aLaunching station for pipeline cleaning or inspection tool.Figure 2 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde).Figure 3 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene.Figure 4 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming C = chronic; A = acute; I = intermediate. aInfrastructure used to pull and replace a well completion. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas C = chronic; I = intermediate. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania C = chronic; A = acute; I = intermediate. aLaunching station for pipeline cleaning or inspection tool. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde). Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene. We identified unique chemical mixtures at each sample location (see Tables S1 through S5 in Additional file 1). In addition, we identified eight volatile compounds at concentrations that exceeded ATSDR minimal risk levels (MRLs) or EPA Integrated Risk Information System (IRIS) cancer risk levels (see Table 2). Although our samples represent a single point in time, we compared concentrations to acute as well as chronic risk levels as many of the activities that generate volatile compounds near UOG operations are long-duration (the life cycle of an unconventional natural gas well can span several decades) [16]. Residents chose sample locations where odors and symptoms were the “norm” for the area, not a one-time event. In addition, a growing body of research suggests that peak (e.g., 1-hr. maximum), rather than average exposure to air emissions may better capture certain risks to human health [55–57].Table 2 ATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m 3 ) ChemicalATSDR MRLsIRIS cancer risk levelsAcuteIntermediateChronic1/1,000,0001/100,0001/10,000Benzene292010.454.5451,3 butadiene0.030.33Ethylbenzene21,7008,680260Formaldehyde4937100.080.88N-hexane2,115Hydrogen sulfide9828Toluene3,750300Xylenes8,6802,604217 ATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m 3 ) Sixteen of the 35 grab samples, and 14 of the 41 passive samples, had concentrations of volatiles that exceeded ATSDR and/or EPA IRIS levels. ATSDR MRLs and EPA IRIS levels for chemicals of concern are provided in Table 2. The chemicals that most commonly exceeded these levels were hydrogen sulfide, formaldehyde, and benzene. Background levels for these chemicals are 0.15 μg/m3 for hydrogen sulfide, 0.25 μg/m3 for formaldehyde, and 0.15 μg/m3 for benzene [58–60]. Our samples that exceeded health-based risk levels were 90–66,000× background levels for hydrogen sulfide, 30-240× background levels for formaldehyde, and 35–770,000× background levels for benzene. Details of our results are presented in Tables 3, 4, and 5 and in Figures 2, 3, and 4 (greater detail is provided in Additional file 1). A state-by-state summary follows.Table 3 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming State/IDCountyNearest infrastructureChemicalConcentration (μg/m 3)ATSDR MRLs exceededEPA IRIS cancer risk exceededWY-4586Fremont5 m from separatorHydrogen sulfide590I, An/aWY-4586Fremont5 m from separatorBenzene2,200C, I, A1/10,000WY-4586Fremont5 m from separatorToluene1,400Cn/aWY-4586Fremont5 m from separatorEthylbenzene1,200Cn/aWY-4586Fremont5 m from separatorMixed xylenes4,100C, In/aWY-4586Fremont5 m from separatorn-hexane22,000Cn/aWY-1103Fremont20 m from separatorbenzene31C, I, A1/100,000WY-2069Fremont110 m from work-over riga Hydrogen sulfide30In/aWY-4861Fremont5 m from separatorBenzene230C, I, A1/10,000WY-4861Fremont5 m from separatorMixed xylenes317Cn/aWY-4861Fremont5 m from separatorn-hexane2,500Cn/aWY-4478Park25 m from separatorHydrogen sulfide91In/aWY-4478Park25 m from separatorBenzene110,000C, I, A1/10,000WY-4478Park25 m from separatorToluene270,000C, An/aWY-4478Park25 m from separatorMixed xylenes135,000C, I, An/aWY-4478Park25 m from separatorn-hexane1,200,000Cn/aWY-129Park55 m from separatorbenzene100C, I, A1/10,000WY-3321Park5 m from compressorbenzene35C, I, A1/100,000WY-4883-005Park5 m from compressorFormaldehyde46C, I1/10,000WY-4864Park5 m from discharge canalHydrogen sulfide210I, An/aWY-4865Park10 m from discharge canalHydrogen sulfide1,200I, An/aWY-4496Park20 m from well padHydrogen sulfide6,100I, An/aWY-106ParkAdjacent to discharge canalHydrogen sulfide5,600I, An/aWY-184Park15 m from discharge canalHydrogen sulfide240I, An/aWY-187Park15 m from discharge canalHydrogen sulfide66,000I, An/aWY-187Park15 m from discharge canalBenzene23C, I1/100,000C = chronic; A = acute; I = intermediate. aInfrastructure used to pull and replace a well completion.Table 4 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas State/IDCountyNearest infrastructureChemicalConcentration (μg/m 3)ATSDR MRLs exceededEPA IRIS cancer risk exceededAR-3136-003Faulkner355 m from compressorFormaldehyde36C1/10,000AR-3136-001Cleburne42 m from compressorFormaldehyde34C1/10,000AR-3561Cleburne30 m from compressorFormaldehyde27C1/10,000AR-3562Faulkner355 m from compressorFormaldehyde28C1/10,000AR-4331Faulkner42 m from compressorFormaldehyde23C1/10,000AR-4333Faulkner237 m from compressorFormaldehyde44C, I1/10,000AR-4724Van Buren42 m from compressor1,3-butadiene8.5n/a1/10,000AR-4924Faulkner254 m from compressorFormaldehyde48C, I1/10,000C = chronic; I = intermediate.Table 5 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania State/IDCountyNearest infrastructureChemicalConcentration (μg/m 3)ATSDR MRLs exceededEPA IRIS cancer risk exceededPA-4083-003Susquehanna420 m from compressorFormaldehyde8.31/10,000PA-4083-004Susquehanna370 m from compressorFormaldehyde7.61/100,000PA-4136Washington270 m from PIG launcha Benzene5.71/100,000PA-4259-002Susquehanna790 m from compressorFormaldehyde61C, I, A1/10,000PA-4259-003Susquehanna420 m from compressorFormaldehyde59C, I, A1/10,000PA-4259-004Susquehanna230 m from compressorFormaldehyde32C1/10,000PA-4259-005Susquehanna460 m from compressorFormaldehyde34C1/10,000C = chronic; A = acute; I = intermediate. aLaunching station for pipeline cleaning or inspection tool.Figure 2 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde).Figure 3 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene.Figure 4 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming C = chronic; A = acute; I = intermediate. aInfrastructure used to pull and replace a well completion. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas C = chronic; I = intermediate. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania C = chronic; A = acute; I = intermediate. aLaunching station for pipeline cleaning or inspection tool. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde). Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene. Wyoming (Park County) Nine of the ten grab samples contained volatiles above ATSDR MRLs or EPA IRIS risk levels. Seven contained high concentrations of hydrogen sulfide (one was over 600× the ATSDR acute MRL) and three contained high levels of benzene, including one over 12,000× the ATSDR acute MRL. The sample with the highest benzene concentrations also contained 480,000 micrograms per cubic meter of heptane, 3,100,000 micrograms per cubic meter of pentane, and 4,100,000 micrograms per cubic meter of butane, all hydrocarbons that are frequently associated with methane. These hydrocarbon concentrations exceeded occupational health standards (NIOSH recommended exposure limits). Four of the seven samples with high levels of hydrogen sulfide were taken in northeast Park County (near Deaver), and three of the four samples with high benzene levels were taken in northwest Park County (near Clark). One of the five passive samples contained formaldehyde at levels that exceeded ATSDR MRLs and the 1/10,000 cancer risk level (Table 3, Figure 2). Nine of the ten grab samples contained volatiles above ATSDR MRLs or EPA IRIS risk levels. Seven contained high concentrations of hydrogen sulfide (one was over 600× the ATSDR acute MRL) and three contained high levels of benzene, including one over 12,000× the ATSDR acute MRL. The sample with the highest benzene concentrations also contained 480,000 micrograms per cubic meter of heptane, 3,100,000 micrograms per cubic meter of pentane, and 4,100,000 micrograms per cubic meter of butane, all hydrocarbons that are frequently associated with methane. These hydrocarbon concentrations exceeded occupational health standards (NIOSH recommended exposure limits). Four of the seven samples with high levels of hydrogen sulfide were taken in northeast Park County (near Deaver), and three of the four samples with high benzene levels were taken in northwest Park County (near Clark). One of the five passive samples contained formaldehyde at levels that exceeded ATSDR MRLs and the 1/10,000 cancer risk level (Table 3, Figure 2). Wyoming (Fremont County) Four of the five grab samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS risk levels. One sample contained six volatiles exceeding these levels, including benzene at 75× the ATSDR acute MRL and 22× the EPA IRIS 1/10,000 cancer risk level. A second sample contained three volatiles exceeding ATSDR or EPA IRIS levels and also contained 4,167,000 micrograms per cubic meter of methane, an amount that exceeds its occupational health standard (Threshold Limit Value). None of the passive samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS cancer risk levels (Table 3, Figure 2). Four of the five grab samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS risk levels. One sample contained six volatiles exceeding these levels, including benzene at 75× the ATSDR acute MRL and 22× the EPA IRIS 1/10,000 cancer risk level. A second sample contained three volatiles exceeding ATSDR or EPA IRIS levels and also contained 4,167,000 micrograms per cubic meter of methane, an amount that exceeds its occupational health standard (Threshold Limit Value). None of the passive samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS cancer risk levels (Table 3, Figure 2). Arkansas (Cleburne, Faulkner, and Van Buren Counties) One of the 8 grab samples, and 7 of the 13 passive samples, contained volatiles above ATSDR MRLs or EPA IRIS risk levels. One of the passive samples (taken at a residence) had formaldehyde levels that were close to the ATSDR MRL and exceeded EPA’s 1/10,000 cancer risk level (Table 4, Figure 3). One of the 8 grab samples, and 7 of the 13 passive samples, contained volatiles above ATSDR MRLs or EPA IRIS risk levels. One of the passive samples (taken at a residence) had formaldehyde levels that were close to the ATSDR MRL and exceeded EPA’s 1/10,000 cancer risk level (Table 4, Figure 3). Pennsylvania (Susquehanna County) One of the four grab samples contained benzene at concentrations that exceeded the EPA 1/100,000 cancer risk level. Six of the ten passive samples contained formaldehyde at levels that exceeded ATSDR MRLs or EPA IRIS risk levels. Two of the samples exceeded both the acute MRL and the 1/10,000 cancer risk level (Table 5, Figure 4). One of the four grab samples contained benzene at concentrations that exceeded the EPA 1/100,000 cancer risk level. Six of the ten passive samples contained formaldehyde at levels that exceeded ATSDR MRLs or EPA IRIS risk levels. Two of the samples exceeded both the acute MRL and the 1/10,000 cancer risk level (Table 5, Figure 4). Colorado (Boulder and Weld Counties) One of the five grab samples contained 41 micrograms per cubic meter of hydrogen sulfide and exceeded the ATSDR intermediate MRL. None of the passive samples had volatiles exceeding the ATSDR MRLs or EPA IRIS risk levels. One of the five grab samples contained 41 micrograms per cubic meter of hydrogen sulfide and exceeded the ATSDR intermediate MRL. None of the passive samples had volatiles exceeding the ATSDR MRLs or EPA IRIS risk levels. Ohio (Athens, Carroll, and Trumbull Counties) None of the four grab samples or five passive samples contained volatiles at concentrations that exceeded the ATSDR MRLs or EPA IRIS risk levels. None of the four grab samples or five passive samples contained volatiles at concentrations that exceeded the ATSDR MRLs or EPA IRIS risk levels. State air quality monitoring survey We reviewed air quality monitoring by state agencies in the five states covered by our sampling. We reviewed one study in Arkansas, seven in Colorado, one in Ohio, four in Pennsylvania, and one in Wyoming. Most of the studies measured VOC levels, two included hydrogen sulfide, and seven included methane and/or other hydrocarbons. Sampling durations ranged from four hours to 24 months; five of the studies lasted more than four weeks. Target compounds were detected in all studies that have been completed, including mixtures of 42 non-methane VOCs. None of the studies concluded that detected compounds posed significant human health risk (Table 6).Table 6 Five-state survey of air quality monitoring studies, unconventional oil and gas operations Agency (year)Target compoundSampling equipmentSample sitesDurationRepresentative findingsADEQ (2011)VOCs (total)NONO2 PID (fixed)PID (handheld)4 compressor stations6 drilling sites3 well sites (fracking)1 upwind1 d (4–6 hrs.)VOCs “almost always below or near detection limits”VOCs at drilling sites elevated (ave. 38–678 ppb; max. 350–5,321 ppb)NO/NO2 rarely exceed detection limitsCDPHE (2012)NMOCs (78)MethaneCanister1 well pad (Erie)3 wks.Detects = 42 of 78 compounds in >75% of samplesBenzene “well within EPA’s acceptable cancer risk range”Acute and chronic HQs “well below” 1CDPHE (2009)NMOCs (78)VOCsPM2.5 CanisterPID (handheld)Filter (handheld)8 wells (4 drilling, 4 completion)1 dTotal NMOC ave. 273 – 8,761 ppb at 8 sitesTotal VOC ave. 6–3,023 ppb at 8 sitesPM2.5 ave. 7.3 - 16.7 μg/m3 at 8 sitesCDPHE, GCPHD (2007)VOCs (43)PM10 CanisterFilter14 sites7 sites24 mos.Detects = 15 of 43 compoundsBenzene ave. 28.2 μg/m3, max 180 μg/m3 (grab)Toluene ave. 91.4 μg/m3, max 540 μg/m3 (grab)CDPHE (2003–2012)NMOCsCarbonylsCanister5 sites (2003)6 sites (2006)3+ sites (2012)2 mos.Methane ave. 2,535 ppb (Platteville) vs. (1,780 ppb Denver)Top NMOCs in Platteville = ethane, propane, butaneBenzene, toluene higher in PlattevilleCDPHE (2002)VOCs (42)SO2 NO, NO2 CanisterContinuous2 well sites1 residential1 active flare2 up-, down-valley1 background1 mo.Detects = 6 of 42 VOCsBenzene in 6 of 20 (2.2-6.5 μg/m3)Toluene in 18 of 20 (1.5-17 μg/m3)OEPA (2014)VOCs (69)VOCsPM10/PM2.5 H2SCOCanisterGC/MSFilter1 well site1 remote site12 mos.Ongoing; data update provided in February 2014Detects include BTEX, alkanes (e.g., ethane, hexane), H2SSecond site planned near processing plantPA DEP (2010)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 condensate tank1 wastewater impoundment1 background5 wks.Detects include methane, ethane, propane, benzene (max. 758 ppb)No conc.’s “that would likely trigger air-related health issues”Fugitive gas stream emissionsPA DEP (2011)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 completed well1 well site (fracking)1 well (tanks, separator)1 background4 wks.Detects include BTEX (benzene max. 400 ppb), methylbenzenesNo conc.’s “that would likely trigger air-related health issues”Fugitive emissions from condensate tanks, pipingPA DEP (2011)VOCs (48)AlkanesCanisterOP-FTIRGC/MS2 compressor stations1 well site (flaring)1 well site (drilling)1 background4 wks.Detects include benzene (max. 400 ppb), toluene, ethylbenzeneNatural gas constituent detects near compressor stationsConc.’s “do not indicate a potential for major air-related health issues”PA DEP (2012)CriteriaVOCs/HAPsMethaneH2S“Full suite”1 gas processing2 large compressor stations1 background12 mos.Ongoing; report due in 2014WDEQ (2013)VOCs/NMHCsOzoneMethaneNO, NO2 PM10/PM2.5 CanisterUV PhotometricFIDChemiluminescenceBeta Attenuation7 permanent stations (e.g., Boulder, Juel Spring, Moxa)3 mesonet stations (Mesa, Paradise Warbonnet)2 mobile trailer locations (Big Piney, Jonah Field)OngoingWDEQ mobile monitors placed at locations w/ oil & gas developmentMini-SODAR also placed adjacent to Boulder permanent station“Relatively low concentrations” of VOCs found in canister samplesVOCs “consistently higher” at Paradise site (near oil & gas sources)BTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound. Five-state survey of air quality monitoring studies, unconventional oil and gas operations BTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound. We reviewed air quality monitoring by state agencies in the five states covered by our sampling. We reviewed one study in Arkansas, seven in Colorado, one in Ohio, four in Pennsylvania, and one in Wyoming. Most of the studies measured VOC levels, two included hydrogen sulfide, and seven included methane and/or other hydrocarbons. Sampling durations ranged from four hours to 24 months; five of the studies lasted more than four weeks. Target compounds were detected in all studies that have been completed, including mixtures of 42 non-methane VOCs. None of the studies concluded that detected compounds posed significant human health risk (Table 6).Table 6 Five-state survey of air quality monitoring studies, unconventional oil and gas operations Agency (year)Target compoundSampling equipmentSample sitesDurationRepresentative findingsADEQ (2011)VOCs (total)NONO2 PID (fixed)PID (handheld)4 compressor stations6 drilling sites3 well sites (fracking)1 upwind1 d (4–6 hrs.)VOCs “almost always below or near detection limits”VOCs at drilling sites elevated (ave. 38–678 ppb; max. 350–5,321 ppb)NO/NO2 rarely exceed detection limitsCDPHE (2012)NMOCs (78)MethaneCanister1 well pad (Erie)3 wks.Detects = 42 of 78 compounds in >75% of samplesBenzene “well within EPA’s acceptable cancer risk range”Acute and chronic HQs “well below” 1CDPHE (2009)NMOCs (78)VOCsPM2.5 CanisterPID (handheld)Filter (handheld)8 wells (4 drilling, 4 completion)1 dTotal NMOC ave. 273 – 8,761 ppb at 8 sitesTotal VOC ave. 6–3,023 ppb at 8 sitesPM2.5 ave. 7.3 - 16.7 μg/m3 at 8 sitesCDPHE, GCPHD (2007)VOCs (43)PM10 CanisterFilter14 sites7 sites24 mos.Detects = 15 of 43 compoundsBenzene ave. 28.2 μg/m3, max 180 μg/m3 (grab)Toluene ave. 91.4 μg/m3, max 540 μg/m3 (grab)CDPHE (2003–2012)NMOCsCarbonylsCanister5 sites (2003)6 sites (2006)3+ sites (2012)2 mos.Methane ave. 2,535 ppb (Platteville) vs. (1,780 ppb Denver)Top NMOCs in Platteville = ethane, propane, butaneBenzene, toluene higher in PlattevilleCDPHE (2002)VOCs (42)SO2 NO, NO2 CanisterContinuous2 well sites1 residential1 active flare2 up-, down-valley1 background1 mo.Detects = 6 of 42 VOCsBenzene in 6 of 20 (2.2-6.5 μg/m3)Toluene in 18 of 20 (1.5-17 μg/m3)OEPA (2014)VOCs (69)VOCsPM10/PM2.5 H2SCOCanisterGC/MSFilter1 well site1 remote site12 mos.Ongoing; data update provided in February 2014Detects include BTEX, alkanes (e.g., ethane, hexane), H2SSecond site planned near processing plantPA DEP (2010)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 condensate tank1 wastewater impoundment1 background5 wks.Detects include methane, ethane, propane, benzene (max. 758 ppb)No conc.’s “that would likely trigger air-related health issues”Fugitive gas stream emissionsPA DEP (2011)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 completed well1 well site (fracking)1 well (tanks, separator)1 background4 wks.Detects include BTEX (benzene max. 400 ppb), methylbenzenesNo conc.’s “that would likely trigger air-related health issues”Fugitive emissions from condensate tanks, pipingPA DEP (2011)VOCs (48)AlkanesCanisterOP-FTIRGC/MS2 compressor stations1 well site (flaring)1 well site (drilling)1 background4 wks.Detects include benzene (max. 400 ppb), toluene, ethylbenzeneNatural gas constituent detects near compressor stationsConc.’s “do not indicate a potential for major air-related health issues”PA DEP (2012)CriteriaVOCs/HAPsMethaneH2S“Full suite”1 gas processing2 large compressor stations1 background12 mos.Ongoing; report due in 2014WDEQ (2013)VOCs/NMHCsOzoneMethaneNO, NO2 PM10/PM2.5 CanisterUV PhotometricFIDChemiluminescenceBeta Attenuation7 permanent stations (e.g., Boulder, Juel Spring, Moxa)3 mesonet stations (Mesa, Paradise Warbonnet)2 mobile trailer locations (Big Piney, Jonah Field)OngoingWDEQ mobile monitors placed at locations w/ oil & gas developmentMini-SODAR also placed adjacent to Boulder permanent station“Relatively low concentrations” of VOCs found in canister samplesVOCs “consistently higher” at Paradise site (near oil & gas sources)BTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound. Five-state survey of air quality monitoring studies, unconventional oil and gas operations BTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound. Air contaminants: We identified unique chemical mixtures at each sample location (see Tables S1 through S5 in Additional file 1). In addition, we identified eight volatile compounds at concentrations that exceeded ATSDR minimal risk levels (MRLs) or EPA Integrated Risk Information System (IRIS) cancer risk levels (see Table 2). Although our samples represent a single point in time, we compared concentrations to acute as well as chronic risk levels as many of the activities that generate volatile compounds near UOG operations are long-duration (the life cycle of an unconventional natural gas well can span several decades) [16]. Residents chose sample locations where odors and symptoms were the “norm” for the area, not a one-time event. In addition, a growing body of research suggests that peak (e.g., 1-hr. maximum), rather than average exposure to air emissions may better capture certain risks to human health [55–57].Table 2 ATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m 3 ) ChemicalATSDR MRLsIRIS cancer risk levelsAcuteIntermediateChronic1/1,000,0001/100,0001/10,000Benzene292010.454.5451,3 butadiene0.030.33Ethylbenzene21,7008,680260Formaldehyde4937100.080.88N-hexane2,115Hydrogen sulfide9828Toluene3,750300Xylenes8,6802,604217 ATSDR minimal risk levels and EPA IRIS cancer risk levels for chemicals of concern (all data in μg/m 3 ) Sixteen of the 35 grab samples, and 14 of the 41 passive samples, had concentrations of volatiles that exceeded ATSDR and/or EPA IRIS levels. ATSDR MRLs and EPA IRIS levels for chemicals of concern are provided in Table 2. The chemicals that most commonly exceeded these levels were hydrogen sulfide, formaldehyde, and benzene. Background levels for these chemicals are 0.15 μg/m3 for hydrogen sulfide, 0.25 μg/m3 for formaldehyde, and 0.15 μg/m3 for benzene [58–60]. Our samples that exceeded health-based risk levels were 90–66,000× background levels for hydrogen sulfide, 30-240× background levels for formaldehyde, and 35–770,000× background levels for benzene. Details of our results are presented in Tables 3, 4, and 5 and in Figures 2, 3, and 4 (greater detail is provided in Additional file 1). A state-by-state summary follows.Table 3 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming State/IDCountyNearest infrastructureChemicalConcentration (μg/m 3)ATSDR MRLs exceededEPA IRIS cancer risk exceededWY-4586Fremont5 m from separatorHydrogen sulfide590I, An/aWY-4586Fremont5 m from separatorBenzene2,200C, I, A1/10,000WY-4586Fremont5 m from separatorToluene1,400Cn/aWY-4586Fremont5 m from separatorEthylbenzene1,200Cn/aWY-4586Fremont5 m from separatorMixed xylenes4,100C, In/aWY-4586Fremont5 m from separatorn-hexane22,000Cn/aWY-1103Fremont20 m from separatorbenzene31C, I, A1/100,000WY-2069Fremont110 m from work-over riga Hydrogen sulfide30In/aWY-4861Fremont5 m from separatorBenzene230C, I, A1/10,000WY-4861Fremont5 m from separatorMixed xylenes317Cn/aWY-4861Fremont5 m from separatorn-hexane2,500Cn/aWY-4478Park25 m from separatorHydrogen sulfide91In/aWY-4478Park25 m from separatorBenzene110,000C, I, A1/10,000WY-4478Park25 m from separatorToluene270,000C, An/aWY-4478Park25 m from separatorMixed xylenes135,000C, I, An/aWY-4478Park25 m from separatorn-hexane1,200,000Cn/aWY-129Park55 m from separatorbenzene100C, I, A1/10,000WY-3321Park5 m from compressorbenzene35C, I, A1/100,000WY-4883-005Park5 m from compressorFormaldehyde46C, I1/10,000WY-4864Park5 m from discharge canalHydrogen sulfide210I, An/aWY-4865Park10 m from discharge canalHydrogen sulfide1,200I, An/aWY-4496Park20 m from well padHydrogen sulfide6,100I, An/aWY-106ParkAdjacent to discharge canalHydrogen sulfide5,600I, An/aWY-184Park15 m from discharge canalHydrogen sulfide240I, An/aWY-187Park15 m from discharge canalHydrogen sulfide66,000I, An/aWY-187Park15 m from discharge canalBenzene23C, I1/100,000C = chronic; A = acute; I = intermediate. aInfrastructure used to pull and replace a well completion.Table 4 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas State/IDCountyNearest infrastructureChemicalConcentration (μg/m 3)ATSDR MRLs exceededEPA IRIS cancer risk exceededAR-3136-003Faulkner355 m from compressorFormaldehyde36C1/10,000AR-3136-001Cleburne42 m from compressorFormaldehyde34C1/10,000AR-3561Cleburne30 m from compressorFormaldehyde27C1/10,000AR-3562Faulkner355 m from compressorFormaldehyde28C1/10,000AR-4331Faulkner42 m from compressorFormaldehyde23C1/10,000AR-4333Faulkner237 m from compressorFormaldehyde44C, I1/10,000AR-4724Van Buren42 m from compressor1,3-butadiene8.5n/a1/10,000AR-4924Faulkner254 m from compressorFormaldehyde48C, I1/10,000C = chronic; I = intermediate.Table 5 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania State/IDCountyNearest infrastructureChemicalConcentration (μg/m 3)ATSDR MRLs exceededEPA IRIS cancer risk exceededPA-4083-003Susquehanna420 m from compressorFormaldehyde8.31/10,000PA-4083-004Susquehanna370 m from compressorFormaldehyde7.61/100,000PA-4136Washington270 m from PIG launcha Benzene5.71/100,000PA-4259-002Susquehanna790 m from compressorFormaldehyde61C, I, A1/10,000PA-4259-003Susquehanna420 m from compressorFormaldehyde59C, I, A1/10,000PA-4259-004Susquehanna230 m from compressorFormaldehyde32C1/10,000PA-4259-005Susquehanna460 m from compressorFormaldehyde34C1/10,000C = chronic; A = acute; I = intermediate. aLaunching station for pipeline cleaning or inspection tool.Figure 2 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde).Figure 3 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene.Figure 4 Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming C = chronic; A = acute; I = intermediate. aInfrastructure used to pull and replace a well completion. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas C = chronic; I = intermediate. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania C = chronic; A = acute; I = intermediate. aLaunching station for pipeline cleaning or inspection tool. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Wyoming. Note log scale on y-axis. Dashed lines represent ATSDR intermediate-term MRLs. Dotted lines represent ATSDR chronic MRLs (not displayed: toluene, ethylbenzene, and formaldehyde). Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Arkansas. Dashed lines represent EPA IRIS 1/10,000 cancer risk for formaldehyde and 1,3 butadiene. Concentrations of volatile compounds exceeding health-based risk levels in samples collected in Pennsylvania. Dashed line represents EPA IRIS 1/10,000 cancer risk for formaldehyde. Dotted line represents EPA IRIS 1/100,000 cancer risk for benzene. Wyoming (Park County): Nine of the ten grab samples contained volatiles above ATSDR MRLs or EPA IRIS risk levels. Seven contained high concentrations of hydrogen sulfide (one was over 600× the ATSDR acute MRL) and three contained high levels of benzene, including one over 12,000× the ATSDR acute MRL. The sample with the highest benzene concentrations also contained 480,000 micrograms per cubic meter of heptane, 3,100,000 micrograms per cubic meter of pentane, and 4,100,000 micrograms per cubic meter of butane, all hydrocarbons that are frequently associated with methane. These hydrocarbon concentrations exceeded occupational health standards (NIOSH recommended exposure limits). Four of the seven samples with high levels of hydrogen sulfide were taken in northeast Park County (near Deaver), and three of the four samples with high benzene levels were taken in northwest Park County (near Clark). One of the five passive samples contained formaldehyde at levels that exceeded ATSDR MRLs and the 1/10,000 cancer risk level (Table 3, Figure 2). Wyoming (Fremont County): Four of the five grab samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS risk levels. One sample contained six volatiles exceeding these levels, including benzene at 75× the ATSDR acute MRL and 22× the EPA IRIS 1/10,000 cancer risk level. A second sample contained three volatiles exceeding ATSDR or EPA IRIS levels and also contained 4,167,000 micrograms per cubic meter of methane, an amount that exceeds its occupational health standard (Threshold Limit Value). None of the passive samples contained volatiles at concentrations that exceeded ATSDR MRLs or EPA IRIS cancer risk levels (Table 3, Figure 2). Arkansas (Cleburne, Faulkner, and Van Buren Counties): One of the 8 grab samples, and 7 of the 13 passive samples, contained volatiles above ATSDR MRLs or EPA IRIS risk levels. One of the passive samples (taken at a residence) had formaldehyde levels that were close to the ATSDR MRL and exceeded EPA’s 1/10,000 cancer risk level (Table 4, Figure 3). Pennsylvania (Susquehanna County): One of the four grab samples contained benzene at concentrations that exceeded the EPA 1/100,000 cancer risk level. Six of the ten passive samples contained formaldehyde at levels that exceeded ATSDR MRLs or EPA IRIS risk levels. Two of the samples exceeded both the acute MRL and the 1/10,000 cancer risk level (Table 5, Figure 4). Colorado (Boulder and Weld Counties): One of the five grab samples contained 41 micrograms per cubic meter of hydrogen sulfide and exceeded the ATSDR intermediate MRL. None of the passive samples had volatiles exceeding the ATSDR MRLs or EPA IRIS risk levels. Ohio (Athens, Carroll, and Trumbull Counties): None of the four grab samples or five passive samples contained volatiles at concentrations that exceeded the ATSDR MRLs or EPA IRIS risk levels. State air quality monitoring survey: We reviewed air quality monitoring by state agencies in the five states covered by our sampling. We reviewed one study in Arkansas, seven in Colorado, one in Ohio, four in Pennsylvania, and one in Wyoming. Most of the studies measured VOC levels, two included hydrogen sulfide, and seven included methane and/or other hydrocarbons. Sampling durations ranged from four hours to 24 months; five of the studies lasted more than four weeks. Target compounds were detected in all studies that have been completed, including mixtures of 42 non-methane VOCs. None of the studies concluded that detected compounds posed significant human health risk (Table 6).Table 6 Five-state survey of air quality monitoring studies, unconventional oil and gas operations Agency (year)Target compoundSampling equipmentSample sitesDurationRepresentative findingsADEQ (2011)VOCs (total)NONO2 PID (fixed)PID (handheld)4 compressor stations6 drilling sites3 well sites (fracking)1 upwind1 d (4–6 hrs.)VOCs “almost always below or near detection limits”VOCs at drilling sites elevated (ave. 38–678 ppb; max. 350–5,321 ppb)NO/NO2 rarely exceed detection limitsCDPHE (2012)NMOCs (78)MethaneCanister1 well pad (Erie)3 wks.Detects = 42 of 78 compounds in >75% of samplesBenzene “well within EPA’s acceptable cancer risk range”Acute and chronic HQs “well below” 1CDPHE (2009)NMOCs (78)VOCsPM2.5 CanisterPID (handheld)Filter (handheld)8 wells (4 drilling, 4 completion)1 dTotal NMOC ave. 273 – 8,761 ppb at 8 sitesTotal VOC ave. 6–3,023 ppb at 8 sitesPM2.5 ave. 7.3 - 16.7 μg/m3 at 8 sitesCDPHE, GCPHD (2007)VOCs (43)PM10 CanisterFilter14 sites7 sites24 mos.Detects = 15 of 43 compoundsBenzene ave. 28.2 μg/m3, max 180 μg/m3 (grab)Toluene ave. 91.4 μg/m3, max 540 μg/m3 (grab)CDPHE (2003–2012)NMOCsCarbonylsCanister5 sites (2003)6 sites (2006)3+ sites (2012)2 mos.Methane ave. 2,535 ppb (Platteville) vs. (1,780 ppb Denver)Top NMOCs in Platteville = ethane, propane, butaneBenzene, toluene higher in PlattevilleCDPHE (2002)VOCs (42)SO2 NO, NO2 CanisterContinuous2 well sites1 residential1 active flare2 up-, down-valley1 background1 mo.Detects = 6 of 42 VOCsBenzene in 6 of 20 (2.2-6.5 μg/m3)Toluene in 18 of 20 (1.5-17 μg/m3)OEPA (2014)VOCs (69)VOCsPM10/PM2.5 H2SCOCanisterGC/MSFilter1 well site1 remote site12 mos.Ongoing; data update provided in February 2014Detects include BTEX, alkanes (e.g., ethane, hexane), H2SSecond site planned near processing plantPA DEP (2010)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 condensate tank1 wastewater impoundment1 background5 wks.Detects include methane, ethane, propane, benzene (max. 758 ppb)No conc.’s “that would likely trigger air-related health issues”Fugitive gas stream emissionsPA DEP (2011)VOCs (48)AlkanesLeak detectionCanisterOP-FTIRGC/MSFLIR2 compressor stations1 completed well1 well site (fracking)1 well (tanks, separator)1 background4 wks.Detects include BTEX (benzene max. 400 ppb), methylbenzenesNo conc.’s “that would likely trigger air-related health issues”Fugitive emissions from condensate tanks, pipingPA DEP (2011)VOCs (48)AlkanesCanisterOP-FTIRGC/MS2 compressor stations1 well site (flaring)1 well site (drilling)1 background4 wks.Detects include benzene (max. 400 ppb), toluene, ethylbenzeneNatural gas constituent detects near compressor stationsConc.’s “do not indicate a potential for major air-related health issues”PA DEP (2012)CriteriaVOCs/HAPsMethaneH2S“Full suite”1 gas processing2 large compressor stations1 background12 mos.Ongoing; report due in 2014WDEQ (2013)VOCs/NMHCsOzoneMethaneNO, NO2 PM10/PM2.5 CanisterUV PhotometricFIDChemiluminescenceBeta Attenuation7 permanent stations (e.g., Boulder, Juel Spring, Moxa)3 mesonet stations (Mesa, Paradise Warbonnet)2 mobile trailer locations (Big Piney, Jonah Field)OngoingWDEQ mobile monitors placed at locations w/ oil & gas developmentMini-SODAR also placed adjacent to Boulder permanent station“Relatively low concentrations” of VOCs found in canister samplesVOCs “consistently higher” at Paradise site (near oil & gas sources)BTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound. Five-state survey of air quality monitoring studies, unconventional oil and gas operations BTEX = benzene, toluene, ethylbenzene, and xylenes; FID = flame ionization detector; FLIR = forward looking infrared; GC/MS = gas chromatography/mass spectrometry; HAP = hazardous air pollutant; NAAQS = National Ambient Air Quality Standard; NMHC = non-methane hydrocarbon; NMOC = non-methane organic compound; OP-FTIR = open-path Fourier transform infrared; PID = photoionization detector; VOC = volatile organic compound. Discussion: We identified significant concentrations of four well-characterized chemicals: benzene, formaldehyde, hexane, and hydrogen sulfide. Benzene was detected at sample locations in Pennsylvania and Wyoming. Concentrations exceeded health-based risk levels by as many as several orders of magnitude. Previous studies similarly found benzene concentrations near oil and gas development [10, 11]. Our monitors detected benzene at higher concentrations (5.7 – 110,000 μg/m3) than those found in the published literature. The results are of concern given their proximity to subdivisions, homes, and farms. In Wyoming, multiple samples with high benzene concentrations were taken on residential property 30–350 yards from the nearest well, or on farmland along the perimeter of a well pad. Equipment included separators, compressor stations, discharge canals, and pipeline cleaning operations. The results suggest that existing regulatory setback distances from wells to residences may not be adequate to reduce human health risks [61]. Setbacks from wellheads to homes and other occupied structures cluster around the 150 to 500 feet range in the five states (see Table 1). We found high concentrations of volatile compounds at greater distances, including formaldehyde (up to 2,591 feet) and benzene (up to 885 feet). High levels of benzene near oil production wells indicate that EPA should revisit the extent to which oil wells are addressed in its new source performance standards [62]. Benzene is a known human carcinogen. Chronic exposure to benzene increases the risk of leukemia [63]. The increased risk occurs at low levels of exposure with no evidence of threshold level [64]. Benzene exposure increases risk of birth defects [65], including neural tube and other defects found near natural gas development [24]. Respiratory effects include pulmonary edema, acute granular tracheitis, laryngitis, and bronchitis [60]. UOG fields present multiple sources and exposure routes for benzene. Benzene occurs naturally in shale and other hydrocarbon deposits, and is vented, flared, or released as fugitive emissions along numerous points of production, such as wells, production tanks, compressors, and pipelines [6]. It can volatize and disperse from flowback and produced water at drilling sites and remain in the air for several days [66]. It was among the first pollutants found in air samples near shale gas operations [67]. Previous studies found benzene to be the largest contributor to excess lifetime cancer risk near gas fields [12]. Residents exposed to VOCs including benzene experience immediate health symptoms and illness. Within days after a flaring event at a Texas City refinery, children exhibited altered blood profiles, liver enzymes, and somatic symptoms [68]. Future research is needed to determine whether the concentrations of benzene we measured are due to continuous releases or flaring, fugitive emissions, or facility upsets. Formaldehyde is another volatile compound that exceeded health-based risk levels near compressor stations in Arkansas, Pennsylvania, and Wyoming. As with benzene, there are known sources of formaldehyde emissions along the production chain. Formaldehyde is a product of incomplete combustion emitted by natural gas-fired reciprocating engines at compressor stations [69]. Formaldehyde is also formed from methane in the presence of sunlight, which may be an important source given significant amounts of methane that are known to escape from UOG sites [70]. But air monitoring studies, particularly in shale gas regions, either do not measure for formaldehyde [12, 14] or find it at lower concentrations. For example, the Barnett Shale Energy Education Council [71] found levels that did not pose a risk to human health. Colborn et al. [10] found formaldehyde and acetaldehyde in each of 46 samples with a mean of 1.0 part per billion by volume. In contrast, our CBPR framework resulted in the targeting of compressor stations for passive sampling, where diesel emissions likely account for the higher levels that we found. Our results are similar to the Fort Worth Natural Gas Air Quality Study, which found formaldehyde concentrations in areas with multiple large compressor engines [72]. We found high concentrations of formaldehyde near fourteen compressor stations in three states. Formaldehyde is a suspected human carcinogen [73]. It can affect nearly every tissue in the human body, leading to acute (dermal allergies, asthma) and chronic (neuro-, reproductive, hematopoietic, genetic and pulmonary toxicity and cellular damage) health effects [74]. The science of childhood exposure to formaldehyde is progressing rapidly [75]. State agencies and international organizations continue to lower exposure limit values and guidelines for formaldehyde [76]. Our results exceed those guidelines. Symptoms reported by community members mirror the effects of acute formaldehyde exposure, which causes irritation of the eyes, nose, throat, and skin. Other volatiles of concern included hexane and hydrogen sulfide. Hexane detects were most prevalent near oil and gas operations in Wyoming near well pads, compressor stations, separators, and produced water discharges. Other studies in oil and gas regions found hexane, but at low concentrations [10, 12]. The circumstances under which high concentrations of hexane were found in Wyoming suggest a combination of leaks, spills, and fugitive emissions as potential causes. Acute exposure to hexane affects the central nervous system, causing dizziness, nausea, and headache. Chronic effects include neurotoxicity [77]. We also found elevated levels of hydrogen sulfide in Wyoming along the chain of production (pump jacks, produced water discharge impoundments, discharge canals) and near a well pad in Colorado. Hydrogen sulfide is a broad-spectrum toxicant that can impact most organ systems [78]. As such, it contributes to a range of short- and long-term neurological, upper respiratory, and blood-related symptoms, including those that were prevalent among community samplers in Wyoming (headaches, dizziness, eye irritation, fatigue) [79]. Hydrogen sulfide is a natural component of crude oil and natural gas [5] and is released during many industrial processes. In addition, five samples from Wyoming exceeded ATSDR health-based risk levels for toluene and xylenes. Health-based risk levels provide only a limited sense of potential human health impacts from air emissions. They do not fully account for vulnerable subpopulations, and toxicity values are available for a comparatively small number of compounds. The levels that we found for the above chemicals of concern suggest that state monitoring studies are incomplete. Recent state-funded projects found air volatiles at UOG sites that were either near detection limits or within acceptable limits to protect the public [80–82]. One area of agreement between our community-based and state monitoring studies concerns the presence of complex chemical mixtures. These mixtures demonstrate the contingent nature of ambient air quality near UOG infrastructure. For example, one sample, taken midday in early winter near a well pad in Wyoming with clicking pneumatic pumps, found high concentrations of hydrogen sulfide, hexane, benzene, and xylenes. It also captured cyclohexane, heptane, octane, ethylbenzene, nonane, 1,2,4-trimethylbenzene, and 15 tentatively identified compounds (TICs). TICs are compounds that a device or analytic process is not designed to measure. Total VOC concentrations in the sample exceeded 1.6 million μg/m3, excluding methane. While toxicity values are not available for every TIC in our samples, they exceeded reference concentrations available for related compounds such as hexane [77]. Another sample taken in Arkansas, during autumn in the afternoon near a compressor station, captured 17 volatile compounds and five TICs. A third sample, near a separator shed in Wyoming in late autumn at midday, showed spikes in hydrogen sulfide, benzene, and hexane, 19 additional VOCs, and 15 TICs, with total VOC concentrations exceeding 25 million μg/m3, excluding methane. These and other complex mixtures are provided in Additional file 1. The mixtures that we identified are related to sources commonly used in well pad preparation, drilling, well completion, and production, such as produced water tanks, glycol dehydrators, phase separators, compressors, pipelines, and diesel trucks [14]. They can be released during normal operating conditions and persist near ground level, especially in regions where topography encourages air inversions [83]. The toxicity of some constituents is well known, while others have little or no toxicity information available. Our findings of chemical mixtures are of clinical significance, even absent spikes in chemicals of concern. The chemical mixtures that we identified should be further investigated for their primary emissions sources as well as their potential cumulative and synergistic effects [84]. Clinical and subclinical effects of hydrocarbons such as benzene are increasingly found at low doses [85]. Chronic and subchronic exposure to chemical mixtures is of particular concern to vulnerable subpopulations, including children, pregnant women, and senior citizens [86]. Apart from chemicals of concern (including known and suspected human carcinogens) and chronic exposure to complex mixtures, our findings point to the value of community-based research to inform state testing protocols. Air quality near the diverse range of equipment and stages of UOG development is inherently complex. While states sometimes rely on state-of-the-art technologies such as wireless sensors to characterize local air quality, they continue to collect only a “snapshot” of near-field conditions. For example, Arkansas carried out a technologically ambitious program, placing multi-sensor gas monitors on five-foot tripods along each perimeter of a well pad at several sites. AreaRAEs (the trade name for a wireless monitor produced by RAE Systems) use electrochemical sensors to measure nitrous oxides and a photoionization detector to determine VOC concentration. The continuous monitors wirelessly transmitted data at five-second intervals over a four- to six-hour period (see Table 6). In addition, Arkansas Department of Environmental Quality (ADEQ) personnel carried handheld versions of the AreaRAE along the perimeter of the sites every one or two hours. While the study did not identify individual VOCs, it found that total VOC emissions at the edge of a well pad fluctuate wildly over a five-hour period. The agency concluded, “The spatial and temporal distribution of VOC concentrations at most drilling sites was significantly affected by monitor location, wind, and the interaction between location and wind direction” [81]. Other studies noted similar variation, although the extent to which short-term spikes and unique chemical mixtures might pose a risk to human health was not considered. Community-based research can improve the spatial and temporal resolution of air quality data [87] while adhering to established methods. Our findings can inform and calibrate state monitoring and research programs. Additional file 1: Table S6 gives a more in-depth overview of community monitoring in action, including sample site selection factors, sources of public health concern at each site, and the range of infrastructure present and life cycle stage when samples were taken. For example, grab samples in Wyoming with some of the highest VOC concentrations were collected during production, as opposed to well completion (see Table S6, Additional file 1). The timing and location of our samples were driven by two primary factors: local knowledge gleaned from daily routines, and a history of chronic or subchronic symptoms reported by nearby residents. For example, a separator shed was targeted because of subchronic symptoms (dizziness, nausea, tight chest, nose and throat problems, metallic taste, and sweet smell) and loud sounds nearby (“hissing, clicking, and whooshing”). Well pads were selected based on impacts to livestock, pasture degradation from produced water, and observations of residents and farmers. Other samples were driven by observations of fugitive emissions, including vapor clouds, deposition, discoloration, and sounds (see Table S6 in Additional file 1). Community-based research can identify mixtures, and their potential emissions sources, to prioritize for study of their additive, cumulative, and synergistic effects [88]. The mixtures can be used to determine source signatures [14] and isolate well pads for more intensive monitoring. Symptom-driven samples can define the proper length of a sampling period, which is often limited to days or weeks. They can inform equipment placement for continuous monitoring and facilitate a transition from exploratory to more purposive sampling. Testing informed by human health impacts, and more precise knowledge of the mix and spacing of sources that may contribute to them, contrasts with state efforts, which are limited by access to property, sources of electrical power, fixed monitoring sites, and the cooperation of well pad owners and operators. In these ways, community-based monitoring can extend the reach of limited public resources. Conclusions: Community-based monitoring near unconventional oil and gas operations demonstrates elevations in concentrations of hazardous air pollutants under a range of circumstances. Of special concern are high concentrations of benzene, hydrogen sulfide, and formaldehyde, as well as chemical mixtures linked to operations with observed impacts to resident quality of life. Electronic supplementary material: Additional file 1: Contains six tables, including complete results from grab and passive sampling (Tables S1 through S5) and data on sample location selection in Wyoming (Table S6). (DOC 174 KB) Additional file 1: Contains six tables, including complete results from grab and passive sampling (Tables S1 through S5) and data on sample location selection in Wyoming (Table S6). (DOC 174 KB) : Additional file 1: Contains six tables, including complete results from grab and passive sampling (Tables S1 through S5) and data on sample location selection in Wyoming (Table S6). (DOC 174 KB)
Background: Horizontal drilling, hydraulic fracturing, and other drilling and well stimulation technologies are now used widely in the United States and increasingly in other countries. They enable increases in oil and gas production, but there has been inadequate attention to human health impacts. Air quality near oil and gas operations is an underexplored human health concern for five reasons: (1) prior focus on threats to water quality; (2) an evolving understanding of contributions of certain oil and gas production processes to air quality; (3) limited state air quality monitoring networks; (4) significant variability in air emissions and concentrations; and (5) air quality research that misses impacts important to residents. Preliminary research suggests that volatile compounds, including hazardous air pollutants, are of potential concern. This study differs from prior research in its use of a community-based process to identify sampling locations. Through this approach, we determine concentrations of volatile compounds in air near operations that reflect community concerns and point to the need for more fine-grained and frequent monitoring at points along the production life cycle. Methods: Grab and passive air samples were collected by trained volunteers at locations identified through systematic observation of industrial operations and air impacts over the course of resident daily routines. A total of 75 volatile organics were measured using EPA Method TO-15 or TO-3 by gas chromatography/mass spectrometry. Formaldehyde levels were determined using UMEx 100 Passive Samplers. Results: Levels of eight volatile chemicals exceeded federal guidelines under several operational circumstances. Benzene, formaldehyde, and hydrogen sulfide were the most common compounds to exceed acute and other health-based risk levels. Conclusions: Air concentrations of potentially dangerous compounds and chemical mixtures are frequently present near oil and gas production sites. Community-based research can provide an important supplement to state air quality monitoring programs.
Background: New drilling and well stimulation technologies have led to dramatic shifts in the energy market. The Energy Information Administration forecasts that by the 2030s, the United States will become a net exporter of petroleum liquids such as shale oil [1]. Already an exporter of natural gas, the U.S. will retrieve nearly half of its gas from shale formations by that time [2]. Reserves such as shale oil and gas are referred to as “unconventional” because fuels within them do not readily flow to the surface [3]. Instead, they are distributed among tight sandstone, shale, and other geologic strata. Intensive practices are used to retrieve them, such as directional drilling (many kilometres underground and one or more kilometres horizontally through a formation) and hydraulic fracturing to break up the formation and ensure movement through source rock (using millions of gallons of water mixed with chemicals and sand, or “proppants”) [4]. These technologies present public health challenges, including threats to air quality [5–7]. Unconventional oil and gas (hereinafter “UOG”) development and production involve multiple sources of physical stressors (e.g., noise, light, and vibrations) [6], toxicants (e.g., benzene, constituents in drilling and hydraulic fracturing fluids) [8], and radiological materials (e.g., technologically-enhanced, naturally-occurring radioactive material) [9], including air emissions [10, 11]. Air quality near UOG sites is an underexplored human health concern for several reasons. For a time, environmental scientists and regulators were primarily interested in potential impacts to surface and groundwater quality. High-profile impacts and the subsurface nature of technologies (e.g., hydraulic fracturing) encouraged this research trajectory [12]. This was true despite the fact that UOG development brings to the surface, in the case of natural gas, methane (78.3%), non-methane hydrocarbons (17.8%), nitrogen (1.8%), carbon dioxide (1.5%), and hydrogen sulfide (0.5%) [13]. These constituents, as well as emissions from combustion processes at the surface, are released to the air throughout the life cycle of a productive well [14]. Air emissions from UOG operations have been generally understood for some time – volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs), and criteria air pollutants such as NOx and PM2.5 can be released at the wellhead, in controlled burns (flaring), from produced water storage pits and tanks, and by diesel-powered equipment and trucks, among other sources [15]. Yet the full range of emissions from drilling, well completion, and other activities remains elusive. New source categories are discovered, emissions from life cycle stages such as transmission and well abandonment have yet to be determined, and even stages such as drilling continue to present uncertainty [16]. We do not understand the extent of drilling-related air emissions as pockets of methane, propane, and other constituents in the subsurface are disturbed and released to the atmosphere [17]. Emissions measurements during flowback vary by orders of magnitude [18]. These and other data gaps limit the accuracy of state and federal emissions inventories, which compile and track known emissions sources. Inventories are also limited by self-reporting and data collection, and rely in some cases on outmoded emissions factors [15]. Flawed inventories constrain human health risk assessment and other research [7] and slow the identification of phenomena such as photochemical ozone production during winter months [19]. State pollution monitoring networks also constrain research on the air impacts of UOG development. Historically, air quality monitoring targeted urban areas, and criteria air pollutants such as particulate matter and ozone precursors were the primary chemicals of concern [10]. Monitoring stations were designed to ensure compliance with National Ambient Air Quality Standards (NAAQS) for a half-dozen pollutants. Even networks that focus on oil and gas emissions, such as one operated by public health officials in Garfield County, Colorado, do not target individual well pads. The Garfield County network encompasses five sites to monitor a suite of VOCs and (at three sites) particulate matter, in a jurisdiction that covers nearly 3,000 square miles of complex terrain [20]. The Texas Commission on Environmental Quality has arguably the most extensive monitoring network for UOG air emissions in oil and gas regions. Its monitors were sited to minimize urban source impacts and target locations where the public might be exposed to air emissions [21]. Still, its networks can be sparse; there are five permanent monitoring stations in the Eagle Ford Shale region, where 7,000 oil and gas wells have been drilled since 2008 [22]. These and other limited networks potentially mask local hot spots, the effects of unique topography, and fugitive emissions at certain well pads. Even a denser monitoring network taking continuous samples may be unable to capture the full range of air impacts of UOG operations. Sources of variability of air emissions and concentrations of VOCs and other pollutants near UOG sites include: (1) the spatial variability of UOG operations; (2) the discontinuous use of equipment such as diesel trucks, glycol dehydrators, separators, and compressors during preparation, drilling, hydraulic fracturing, well completion, and other stages; (3) the composition of shale and other formations and the specific constituents of the drilling and hydraulic fracturing fluids used on-site (which can influence the makeup of produced or flowback water stored in pits and tanks); (4) intermittent emissions from venting, flaring, and leaks; (5) the shifting location, spacing, and intensity of well pads in response to market conditions, improvements in technology, and regulatory changes; (6) the effects of wind, complex terrain, and microclimates; and (7) considerable differences among states in permitting, leak detection and repair, and other requirements [10, 16, 23–25]. Wind, for example, can influence outdoor and indoor concentrations of air pollutants. Brown et al. found that local air movement and mixing depth contribute to peak exposure to VOCs one mile from a compressor station [25]. Colborn et al. noted the role of wind and topography in higher VOC concentrations during winter months, when inversions trap air near ground level [10]. Fuller et al. identified wind speed and wind direction as significant predictors of indoor particulate matter levels near highways [26]. Similar variation can be found within and across geologic formations. Unconventional wells in the Barnett Shale play, for example, differ considerably in terms of reservoir quality, production rates, and recoverable gas [27]. Domestic shale gas plays exhibit even greater diversity, including depth and thickness of recoverable resources, the amount and range of chemicals present in produced water, and the presence of constituents such as bromide, naturally occurring radioactive material, hydrogen sulfide, and other toxic elements [23, 28]. These and other sources of variability, and the adaptive drilling and well completion techniques they encourage, complicate the design of setback and well spacing rules that are protective of the public. They also explain why air quality studies carried out in UOG regions yield conflicting results. For example, McKenzie et al. [11] found greater cumulative cancer risks and higher non-cancer hazard indices for residents living less than 0.5 miles from certain well pads in Colorado, while Bunch et al. [21] analyzed data from monitors focused on regional atmospheric concentrations in the Barnett Shale region and found no exceedance of health-based comparison values. Colborn et al. [10] gathered weekly, 24-hour samples 0.7 miles from a well pad in Garfield County, and noted a “great deal of variability across sampling dates in the numbers and concentrations of chemicals detected.” Eapi et al. [29] found substantial variation in fenceline concentrations of methane and hydrogen sulfide, which could not be explained by production volume, number of wells, or condensate volume at natural gas development sites. Institutional factors also influence research on ambient air quality near UOG sites. Congressional exemption of oil and gas operations from provisions of the Clean Air Act, Clean Water Act, Safe Drinking Water Act, Emergency Planning and Community Right-to-Know Act, and other statutes limits data collection on the impacts of oil and gas development [30, 31]. In addition, the peer-reviewed literature is divided between “top-down” and “bottom-up” treatments of air quality. The first set of studies explores the impact of UOG operations on regional air quality, with a concern for methane emissions and ozone precursors in regions such as the Green River Basin in Wyoming [32], the Uintah Basin in northeastern Utah [33], and the Denver-Julesburg Basin, home of the Wattenberg Field in northeastern Colorado [34]. These studies rely on airborne and tower measurements, and are at times supplemented by ground measurements such as mobile monitoring. For example, Petron et al. [35] found a strong alkane signature downwind from the Denver-Julesburg Basin, based on samples taken at a 300-m tall tower (the National Oceanic and Atmospheric Administration Boulder Atmospheric Observatory) and a mobile monitoring unit. In the Uintah Basin, where winter ozone levels exceeded the NAAQS 68 times in 2010, Helmig et al. [36] carried out vertical profiling of ozone precursors at a tower at the northern edge of a gas field. They found levels of atmospheric alkanes during temperature inversion events in 2013 that were 200–300 times greater than regional background. These and other “top-down” studies are also used to estimate methane leakage, which is helpful in comparing the climate-forcing impact of UOG to the use of coal-fired power plants. Loss rate estimates for methane and other hydrocarbons vary considerably by study, from 17% [37] (Los Angeles Basin) to 8.9% [38] (Uintah Basin) (6.2-11.7%, 95% C.I.) to 4% [35] (Denver-Julesburg Basin) (2.3-7.7%, 95% C.I.). A number of studies share the finding that EPA underestimates methane leakage rates across the life cycle (their estimate was 1.65% in 2013) [16], but others, extrapolating from emissions factors and/or direct measurement, produce estimates as low as 0.42% [18]. None of these studies attempts to characterize air concentrations within residential or publicly-accessible areas near UOG operations. Other studies follow a “bottom-up” approach to air quality, which is limited by access to well pads and other infrastructure, the availability of a power source for monitoring equipment, the stage of operation underway, scheduled or unscheduled flashing, flaring, and fugitive releases, or movement of truck traffic and equipment at or near a well pad during a given sampling period. Thus, bottom-up studies vary in terms of distance to site, sample frequency, and chemicals targeted. This helps explain the range of findings in the published literature. Nevertheless, existing research gives support to resident reports of acute and long-term health symptoms and other reductions in quality of life. Even as they offer conflicting evidence of the relative importance of one stage of production or another to air emissions [10, 11], or differ in their ultimate conclusion regarding the existence [10, 11, 14, 35, 36, 39] or lack [21, 40, 41] of human health threats from air emissions, they find VOC concentrations in ambient air considerable distances from well pads, including in residential areas and public spaces. The research questions that guide existing studies create a final barrier to our ability to characterize air emissions in UOG regions. Top-down studies are motivated by questions such as identifying sources of regional nonattainment of ozone standards, or estimating methane and other hydrocarbon leakage rates from UOG operations. Bottom-up research gathers data from one or a limited number of well pads, chosen for reasons such as access or cooperation by owners and operators. The data are used to discuss general exposure conditions for an often-hypothetical community, or used to derive a risk factor. In either mode of study, resident exposure does not directly motivate the sampling protocol. Rather, it is considered obliquely in a study’s choice of sample location (e.g., a one that is “near a small community”), assumed in measurements of concentrations within a certain distance of UOG activity, or ignored. What are missing from these studies are protocols grounded in a community’s experience of air quality impacts of UOG operations. Our multi-state air quality monitoring study uses a community-based, participatory research (CBPR) design to explore conditions near UOG operations [42]. Its sampling protocol is based not on access to a well pad, data needs conditioned by an existing averaging standard, or regional policy concerns. Rather, we partnered with residents in UOG regions to measure air quality under circumstances that, given local knowledge of operations (e.g., emissions from particular equipment or intermittent practices) gained through daily routines (e.g., regular observation of well pads) and use of public and private spaces nearby (e.g., livestock movement, farming) were viewed by community members as potential threats to human health. Existing studies often lack a data set suitable for statistical analysis. When such analyses are occasionally imposed on bottom-up data sets, they explain only a fraction of the variance in air quality outcomes. For example, the highest R2 values in a study of 66 sites, which, due to the study’s broad spatial range was limited to measurements of methane and hydrogen sulfide, were 0.26 (H2S concentration vs. condensate volume nearby) and 0.17 (H2S and number of wells nearby) [29]. CBPR studies, by comparison, are place-based – they begin with the experience of a population in order to identify environmental stressors and explore the heterogeneity of circumstances under which they arise [43, 44]. Rather than discount these circumstances for lack of statistical power, they can be used to define the scope of confirmatory studies, tailor air quality monitoring networks and studies, or suggest novel pollution control measures and best management practices. Conclusions: Community-based monitoring near unconventional oil and gas operations demonstrates elevations in concentrations of hazardous air pollutants under a range of circumstances. Of special concern are high concentrations of benzene, hydrogen sulfide, and formaldehyde, as well as chemical mixtures linked to operations with observed impacts to resident quality of life.
Background: Horizontal drilling, hydraulic fracturing, and other drilling and well stimulation technologies are now used widely in the United States and increasingly in other countries. They enable increases in oil and gas production, but there has been inadequate attention to human health impacts. Air quality near oil and gas operations is an underexplored human health concern for five reasons: (1) prior focus on threats to water quality; (2) an evolving understanding of contributions of certain oil and gas production processes to air quality; (3) limited state air quality monitoring networks; (4) significant variability in air emissions and concentrations; and (5) air quality research that misses impacts important to residents. Preliminary research suggests that volatile compounds, including hazardous air pollutants, are of potential concern. This study differs from prior research in its use of a community-based process to identify sampling locations. Through this approach, we determine concentrations of volatile compounds in air near operations that reflect community concerns and point to the need for more fine-grained and frequent monitoring at points along the production life cycle. Methods: Grab and passive air samples were collected by trained volunteers at locations identified through systematic observation of industrial operations and air impacts over the course of resident daily routines. A total of 75 volatile organics were measured using EPA Method TO-15 or TO-3 by gas chromatography/mass spectrometry. Formaldehyde levels were determined using UMEx 100 Passive Samplers. Results: Levels of eight volatile chemicals exceeded federal guidelines under several operational circumstances. Benzene, formaldehyde, and hydrogen sulfide were the most common compounds to exceed acute and other health-based risk levels. Conclusions: Air concentrations of potentially dangerous compounds and chemical mixtures are frequently present near oil and gas production sites. Community-based research can provide an important supplement to state air quality monitoring programs.
15,665
352
[ 2738, 1268, 181, 113, 65, 64, 39, 25, 955, 42 ]
15
[ "risk", "levels", "samples", "air", "concentrations", "10", "health", "risk levels", "atsdr", "epa" ]
[ "shale gas", "liquids shale oil", "unconventional fuels readily", "referred unconventional fuels", "reserves shale oil" ]
[CONTENT] Benzene | Community monitoring | Formaldehyde | Grab and passive samples | Hydraulic fracturing | Hydrogen sulfide | Oil and gas [SUMMARY]
[CONTENT] Benzene | Community monitoring | Formaldehyde | Grab and passive samples | Hydraulic fracturing | Hydrogen sulfide | Oil and gas [SUMMARY]
[CONTENT] Benzene | Community monitoring | Formaldehyde | Grab and passive samples | Hydraulic fracturing | Hydrogen sulfide | Oil and gas [SUMMARY]
[CONTENT] Benzene | Community monitoring | Formaldehyde | Grab and passive samples | Hydraulic fracturing | Hydrogen sulfide | Oil and gas [SUMMARY]
[CONTENT] Benzene | Community monitoring | Formaldehyde | Grab and passive samples | Hydraulic fracturing | Hydrogen sulfide | Oil and gas [SUMMARY]
[CONTENT] Benzene | Community monitoring | Formaldehyde | Grab and passive samples | Hydraulic fracturing | Hydrogen sulfide | Oil and gas [SUMMARY]
[CONTENT] Air Pollutants | Community-Based Participatory Research | Environmental Monitoring | Extraction and Processing Industry | Gas Chromatography-Mass Spectrometry | Oil and Gas Fields | United States | Volatile Organic Compounds [SUMMARY]
[CONTENT] Air Pollutants | Community-Based Participatory Research | Environmental Monitoring | Extraction and Processing Industry | Gas Chromatography-Mass Spectrometry | Oil and Gas Fields | United States | Volatile Organic Compounds [SUMMARY]
[CONTENT] Air Pollutants | Community-Based Participatory Research | Environmental Monitoring | Extraction and Processing Industry | Gas Chromatography-Mass Spectrometry | Oil and Gas Fields | United States | Volatile Organic Compounds [SUMMARY]
[CONTENT] Air Pollutants | Community-Based Participatory Research | Environmental Monitoring | Extraction and Processing Industry | Gas Chromatography-Mass Spectrometry | Oil and Gas Fields | United States | Volatile Organic Compounds [SUMMARY]
[CONTENT] Air Pollutants | Community-Based Participatory Research | Environmental Monitoring | Extraction and Processing Industry | Gas Chromatography-Mass Spectrometry | Oil and Gas Fields | United States | Volatile Organic Compounds [SUMMARY]
[CONTENT] Air Pollutants | Community-Based Participatory Research | Environmental Monitoring | Extraction and Processing Industry | Gas Chromatography-Mass Spectrometry | Oil and Gas Fields | United States | Volatile Organic Compounds [SUMMARY]
[CONTENT] shale gas | liquids shale oil | unconventional fuels readily | referred unconventional fuels | reserves shale oil [SUMMARY]
[CONTENT] shale gas | liquids shale oil | unconventional fuels readily | referred unconventional fuels | reserves shale oil [SUMMARY]
[CONTENT] shale gas | liquids shale oil | unconventional fuels readily | referred unconventional fuels | reserves shale oil [SUMMARY]
[CONTENT] shale gas | liquids shale oil | unconventional fuels readily | referred unconventional fuels | reserves shale oil [SUMMARY]
[CONTENT] shale gas | liquids shale oil | unconventional fuels readily | referred unconventional fuels | reserves shale oil [SUMMARY]
[CONTENT] shale gas | liquids shale oil | unconventional fuels readily | referred unconventional fuels | reserves shale oil [SUMMARY]
[CONTENT] risk | levels | samples | air | concentrations | 10 | health | risk levels | atsdr | epa [SUMMARY]
[CONTENT] risk | levels | samples | air | concentrations | 10 | health | risk levels | atsdr | epa [SUMMARY]
[CONTENT] risk | levels | samples | air | concentrations | 10 | health | risk levels | atsdr | epa [SUMMARY]
[CONTENT] risk | levels | samples | air | concentrations | 10 | health | risk levels | atsdr | epa [SUMMARY]
[CONTENT] risk | levels | samples | air | concentrations | 10 | health | risk levels | atsdr | epa [SUMMARY]
[CONTENT] risk | levels | samples | air | concentrations | 10 | health | risk levels | atsdr | epa [SUMMARY]
[CONTENT] air | emissions | uog | quality | studies | air quality | basin | shale | gas | monitoring [SUMMARY]
[CONTENT] 2012 | ft | air | bucket | sampling | standards | laboratory | gas | public | production [SUMMARY]
[CONTENT] risk | levels | awy | samples | 10 | risk levels | atsdr | iris | samples collected | compounds exceeding [SUMMARY]
[CONTENT] operations | concentrations benzene hydrogen sulfide | impacts resident quality | pollutants range | formaldehyde chemical mixtures linked | formaldehyde chemical mixtures | formaldehyde chemical | mixtures linked | mixtures linked operations | mixtures linked operations observed [SUMMARY]
[CONTENT] samples | levels | risk | contained | atsdr | concentrations | iris | epa iris | epa | air [SUMMARY]
[CONTENT] samples | levels | risk | contained | atsdr | concentrations | iris | epa iris | epa | air [SUMMARY]
[CONTENT] the United States ||| ||| five | 1 | 2 | 3 | 4 | 5 ||| ||| ||| [SUMMARY]
[CONTENT] daily ||| 75 | EPA ||| 100 | Passive Samplers [SUMMARY]
[CONTENT] eight ||| Benzene [SUMMARY]
[CONTENT] ||| [SUMMARY]
[CONTENT] the United States ||| ||| five | 1 | 2 | 3 | 4 | 5 ||| ||| ||| ||| daily ||| 75 | EPA ||| 100 | Passive Samplers ||| ||| eight ||| Benzene ||| ||| [SUMMARY]
[CONTENT] the United States ||| ||| five | 1 | 2 | 3 | 4 | 5 ||| ||| ||| ||| daily ||| 75 | EPA ||| 100 | Passive Samplers ||| ||| eight ||| Benzene ||| ||| [SUMMARY]
Differential diagnosis between LQT1 and LQT2 by QT/RR relationships using 24-hour Holter monitoring: A multicenter cross-sectional study.
34245193
The clinical course and therapeutic strategies in the congenital long QT syndrome (LQTS) are genotype-specific. However, accurate estimation of LQTS genotype is often difficult from the standard 12-lead ECG.
BACKGROUND
This cross-sectional study enrolled 54 genetically identified LQTS patients (29 LQT1 and 25 LQT2) recruited from three medical institutions. The QT-apex (QTa) interval and the QT-end (QTe) interval at each 15-second were plotted against the RR intervals, and the linear regression (QTa/RR and QTe/RR slopes, respectively) was calculated from the entire 24-hour and separately during the day or night-time periods of the Holter recordings.
METHODS
The QTe/RR and QTa/RR slopes at the entire 24-hour were significantly steeper in LQT2 compared to those in LQT1 patients (0.262 ± 0.063 vs. 0.204 ± 0.055, p = .0007; 0.233 ± 0.052 vs. 0.181 ± 0.040, p = .0002, respectively). The QTe interval was significantly longer, and QTe/RR and QTa/RR slopes at daytime were significantly steeper in LQT2 than in LQT1 patients. The receiver operating curve analysis revealed that the QTa/RR slope of 0.211 at the entire 24-hour Holter was the best cutoff value for differential diagnosis between LQT1 and LQT2 (sensitivity: 80.0%, specificity: 75.0%, and area under curve: 0.804 [95%CI = 0.68-0.93]).
RESULTS
The continuous 24-hour QT/RR analysis using the Holter monitoring may be useful to predict the genotype of congenital LQTS, particularly for LQT1 and LQT2.
CONCLUSION
[ "Cross-Sectional Studies", "Diagnosis, Differential", "Electrocardiography", "Electrocardiography, Ambulatory", "Humans", "Long QT Syndrome" ]
8411756
INTRODUCTION
Congenital long QT syndrome (LQTS) is a hereditary disorder characterized by prolonged QT interval and fatal ventricular arrhythmias (Schwartz et al., 1975; Shimizu, 2005). The clinical course and the treatment consideration in the congenital LQTS are genotype‐specific. The most frequent types of LQTS are LQT1 and LQT2, caused by mutations in genes of the potassium channels. Cardiac events are often associated with a sympathetic response by physical stress in LQT1 patients, and beta‐blockers are more effective than those in LQT2 patients (Moss et al., 2007; Shimizu et al., 2009). Therefore, the differential diagnosis between LQT1 and LQT2 is important but can be difficult with standard 12‐lead ECG. The QT–RR relationship using Holter ECG recordings is a novel method for evaluating QT adaptation to the heart rate change, and it has been reported to be useful for detecting LQTS. Patients with LQTS showed an abnormal prolongation of the QT intervals at lower heart rate, resulting in a steeper QT/RR slope than in controls (Merri et al., 1992; Neyroud et al., 1998). Furthermore, previous studies suggested that the heart rate dependence of QT interval was steeper in LQT2 than in LQT1, and QT intervals at slower heart rate were longer in LQT2 patients than those in LQT1 patients (Nemec et al., 2004; Viitasalo et al., 2002). Therefore, QT/RR relationship obtained from Holter monitoring may be useful for differential diagnosis between LQT1 and LQT2. In the present study, we aimed to further evaluate the utility of QT/RR slope by 24‐hour Holter monitoring by examining that separately at daytime and at nighttime for differential diagnosis between LQT1 and LQT2.
METHODS
This prospective cross‐sectional study included 29 LQT1 patients genetically identified, and 25 LQT2 patients (mean age 23.4±14.9 years, seven males) recruited from three medical institutions from April 2014 to March 2019. Genetic studies In the present study, all patients were already genetically diagnosed with LQT1 or LQT2 by extracting genomic DNA from the leukocytes, then using a combination of polymerase chain reaction, either denaturing high‐performance liquid chromatography or single‐stranded conformation polymorphism and DNA sequencing. In the present study, all patients were already genetically diagnosed with LQT1 or LQT2 by extracting genomic DNA from the leukocytes, then using a combination of polymerase chain reaction, either denaturing high‐performance liquid chromatography or single‐stranded conformation polymorphism and DNA sequencing. Standard 12‐lead ECGs We used a standard 12‐lead ECG tracing at 25‐mm/s paper speed and 10‐mm/mV amplitude. Their standard 12‐lead ECG was without any suspicious abnormalities (e.g., signs of ventricular hypertrophy, intraventricular conduction disturbances) except QT prolongation. We used a standard 12‐lead ECG tracing at 25‐mm/s paper speed and 10‐mm/mV amplitude. Their standard 12‐lead ECG was without any suspicious abnormalities (e.g., signs of ventricular hypertrophy, intraventricular conduction disturbances) except QT prolongation. Holter ECG A digital ECG recording device (Kenz Cardy 303 pico+; SUZUKEN Co., Ltd.) with a sampling rate of 125Hz was used with an automatic measurement system (Kenz Cardy Analyzer 05®; SUZUKEN Co., Ltd.). Consecutive sinus beats every 15 s were averaged, and each parameter was measured. The rate‐corrected QT interval (QTc interval) was determined according to the Bazett formula. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the apex (or nadir) of the T wave (Figure 1). The linear regression slopes of the QTa interval and the QTe interval plotted against RR intervals (QTa/RR and QTe/RR slopes, respectively) were calculated by the least‐squares method. The QTe‐QTa interval was defined as the time between the QT apex and the QT end and was also plotted against RR intervals (QTe‐QTa/RR slope). These data were compared between a non‐sleep period (daytime) and an actual sleep period (nighttime). QT measurement. (a) Consecutive sinus beats every 15 s were selected and averaged. (b) Signal averaged waveform. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the T‐wave's apex (or nadir). (c) This process was repeated every 15 s A digital ECG recording device (Kenz Cardy 303 pico+; SUZUKEN Co., Ltd.) with a sampling rate of 125Hz was used with an automatic measurement system (Kenz Cardy Analyzer 05®; SUZUKEN Co., Ltd.). Consecutive sinus beats every 15 s were averaged, and each parameter was measured. The rate‐corrected QT interval (QTc interval) was determined according to the Bazett formula. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the apex (or nadir) of the T wave (Figure 1). The linear regression slopes of the QTa interval and the QTe interval plotted against RR intervals (QTa/RR and QTe/RR slopes, respectively) were calculated by the least‐squares method. The QTe‐QTa interval was defined as the time between the QT apex and the QT end and was also plotted against RR intervals (QTe‐QTa/RR slope). These data were compared between a non‐sleep period (daytime) and an actual sleep period (nighttime). QT measurement. (a) Consecutive sinus beats every 15 s were selected and averaged. (b) Signal averaged waveform. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the T‐wave's apex (or nadir). (c) This process was repeated every 15 s Statistical analysis Measurements are presented as mean value ± SD. Comparisons of measurements between two groups were analyzed by Mann–Whitney U test. Fisher's exact test was used for discrete variables. Receiver‐operator characteristics (ROC) curves were used to optimize each parameter's cutoff value for differentiation between LQT1 and LQT2. A p value < .05 was considered significant. Statistical calculations were performed with SPSS version 20 software (IBM Inc.). Measurements are presented as mean value ± SD. Comparisons of measurements between two groups were analyzed by Mann–Whitney U test. Fisher's exact test was used for discrete variables. Receiver‐operator characteristics (ROC) curves were used to optimize each parameter's cutoff value for differentiation between LQT1 and LQT2. A p value < .05 was considered significant. Statistical calculations were performed with SPSS version 20 software (IBM Inc.).
RESULTS
Clinical characteristics The clinical characteristics of both groups are shown in Table 1. No significant differences were found in age, sex, use of beta‐blockers, and history of syncope. Comparison of each parameter between LQT1 and LQT2 patients The clinical characteristics of both groups are shown in Table 1. No significant differences were found in age, sex, use of beta‐blockers, and history of syncope. Comparison of each parameter between LQT1 and LQT2 patients Holter analysis Average QTe was significantly longer, and QTe/RR and QTa/RR slopes from entire 24‐hour Holter recordings were significantly steeper in the LQT2 patients than those in the LQT1 patients (472.0 ± 40.6 vs. 447.1 ± 44.8 ms, p = .037; 0.262 ± 0.063 vs. 0.204 ± 0.055, p = .0007; 0.233 ± 0.052 vs. 0.181 ± 0.040, p = .0002, respectively). Representative QT trend graph in both groups is shown in Figure 2, and representative QTa/RR slopes from entire 24‐hour, daytime and night‐time Holter recordings in both groups are shown in Figures 3, 4, 5, respectively. QTe/RR and QTa/RR slopes from daytime Holter recordings in the LQT2 patients were also significantly steeper than those in the LQT1 patients (0.197 ± 0.057 vs. 0.158 ± 0.066, p = .024; 0.190 ± 0.048 vs. 0.153 ± 0.050, p = .008, Table 1). There were no significant differences in the other parameters (Table 1). Representative the trend of QT interval along with the 24‐hour study in each group. QT trend graph of the LQT2 showed that QT prolongation was more prominent in the nighttime Representative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from entire 24‐hour Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient Representative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from daytime Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient Representative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from night‐time Holter recordings in the LQT1 patients and LQT2 patients. Although QTa/RR slope was steeper in the LQT2 patient than that of the LQT1 patient, the degree was lower than that from entire 24‐hour or daytime Holter recordings Average QTe was significantly longer, and QTe/RR and QTa/RR slopes from entire 24‐hour Holter recordings were significantly steeper in the LQT2 patients than those in the LQT1 patients (472.0 ± 40.6 vs. 447.1 ± 44.8 ms, p = .037; 0.262 ± 0.063 vs. 0.204 ± 0.055, p = .0007; 0.233 ± 0.052 vs. 0.181 ± 0.040, p = .0002, respectively). Representative QT trend graph in both groups is shown in Figure 2, and representative QTa/RR slopes from entire 24‐hour, daytime and night‐time Holter recordings in both groups are shown in Figures 3, 4, 5, respectively. QTe/RR and QTa/RR slopes from daytime Holter recordings in the LQT2 patients were also significantly steeper than those in the LQT1 patients (0.197 ± 0.057 vs. 0.158 ± 0.066, p = .024; 0.190 ± 0.048 vs. 0.153 ± 0.050, p = .008, Table 1). There were no significant differences in the other parameters (Table 1). Representative the trend of QT interval along with the 24‐hour study in each group. QT trend graph of the LQT2 showed that QT prolongation was more prominent in the nighttime Representative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from entire 24‐hour Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient Representative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from daytime Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient Representative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from night‐time Holter recordings in the LQT1 patients and LQT2 patients. Although QTa/RR slope was steeper in the LQT2 patient than that of the LQT1 patient, the degree was lower than that from entire 24‐hour or daytime Holter recordings ROC analysis The receiver operating curve analysis revealed that the QTa/RR slope of 0.211 at the entire 24‐hour Holter was the best cutoff value for differential diagnosis between LQT1 and LQT2 (sensitivity: 80.0%, specificity: 75.0%, and area under the curve: 0.804 [95% CI = 0.68–0.93], Figure 6). Meanwhile, it showed an optimal cutoff point of 0.255 of the QTe/RR slope with 60.0% sensitivity and 89.3% specificity. The area under the curve of 0.774 (95% confidence interval, 0.64–0.91) was lower than that of the QTa‐RR slope. The receiver operating characteristic (ROC) curve analysis showed an optimal cutoff point of 0.211 of QTa/RR slope from entire 24‐hour Holter recordings, with 80.0% sensitivity, 75.0% specificity, and an area under the curve of 0.804 (95% confidence interval, 0.68–0.93) The receiver operating curve analysis revealed that the QTa/RR slope of 0.211 at the entire 24‐hour Holter was the best cutoff value for differential diagnosis between LQT1 and LQT2 (sensitivity: 80.0%, specificity: 75.0%, and area under the curve: 0.804 [95% CI = 0.68–0.93], Figure 6). Meanwhile, it showed an optimal cutoff point of 0.255 of the QTe/RR slope with 60.0% sensitivity and 89.3% specificity. The area under the curve of 0.774 (95% confidence interval, 0.64–0.91) was lower than that of the QTa‐RR slope. The receiver operating characteristic (ROC) curve analysis showed an optimal cutoff point of 0.211 of QTa/RR slope from entire 24‐hour Holter recordings, with 80.0% sensitivity, 75.0% specificity, and an area under the curve of 0.804 (95% confidence interval, 0.68–0.93)
AUTHOR CONTRIBUTIONS
K.Y. contributed to data collection, data management and analyses, statistical analyses, and writing of the manuscript. W.S. contributed to data analyses, supervision, and revision of the manuscript. T.A., N.S., and Y.K. contributed to data collection, supervision, and revision of the manuscript. T.Y., H.M., and Y.I. contributed to supervision and revision of the manuscript.
[ "INTRODUCTION", "Genetic studies", "Standard 12‐lead ECGs", "Holter ECG", "Statistical analysis", "Clinical characteristics", "Holter analysis", "ROC analysis", "Study limitations", "CONCLUSIONS", "ETHICS" ]
[ "Congenital long QT syndrome (LQTS) is a hereditary disorder characterized by prolonged QT interval and fatal ventricular arrhythmias (Schwartz et al., 1975; Shimizu, 2005). The clinical course and the treatment consideration in the congenital LQTS are genotype‐specific. The most frequent types of LQTS are LQT1 and LQT2, caused by mutations in genes of the potassium channels. Cardiac events are often associated with a sympathetic response by physical stress in LQT1 patients, and beta‐blockers are more effective than those in LQT2 patients (Moss et al., 2007; Shimizu et al., 2009). Therefore, the differential diagnosis between LQT1 and LQT2 is important but can be difficult with standard 12‐lead ECG. The QT–RR relationship using Holter ECG recordings is a novel method for evaluating QT adaptation to the heart rate change, and it has been reported to be useful for detecting LQTS. Patients with LQTS showed an abnormal prolongation of the QT intervals at lower heart rate, resulting in a steeper QT/RR slope than in controls (Merri et al., 1992; Neyroud et al., 1998). Furthermore, previous studies suggested that the heart rate dependence of QT interval was steeper in LQT2 than in LQT1, and QT intervals at slower heart rate were longer in LQT2 patients than those in LQT1 patients (Nemec et al., 2004; Viitasalo et al., 2002). Therefore, QT/RR relationship obtained from Holter monitoring may be useful for differential diagnosis between LQT1 and LQT2.\nIn the present study, we aimed to further evaluate the utility of QT/RR slope by 24‐hour Holter monitoring by examining that separately at daytime and at nighttime for differential diagnosis between LQT1 and LQT2.", "In the present study, all patients were already genetically diagnosed with LQT1 or LQT2 by extracting genomic DNA from the leukocytes, then using a combination of polymerase chain reaction, either denaturing high‐performance liquid chromatography or single‐stranded conformation polymorphism and DNA sequencing.", "We used a standard 12‐lead ECG tracing at 25‐mm/s paper speed and 10‐mm/mV amplitude. Their standard 12‐lead ECG was without any suspicious abnormalities (e.g., signs of ventricular hypertrophy, intraventricular conduction disturbances) except QT prolongation.", "A digital ECG recording device (Kenz Cardy 303 pico+; SUZUKEN Co., Ltd.) with a sampling rate of 125Hz was used with an automatic measurement system (Kenz Cardy Analyzer 05®; SUZUKEN Co., Ltd.). Consecutive sinus beats every 15 s were averaged, and each parameter was measured. The rate‐corrected QT interval (QTc interval) was determined according to the Bazett formula. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the apex (or nadir) of the T wave (Figure 1). The linear regression slopes of the QTa interval and the QTe interval plotted against RR intervals (QTa/RR and QTe/RR slopes, respectively) were calculated by the least‐squares method. The QTe‐QTa interval was defined as the time between the QT apex and the QT end and was also plotted against RR intervals (QTe‐QTa/RR slope). These data were compared between a non‐sleep period (daytime) and an actual sleep period (nighttime).\nQT measurement. (a) Consecutive sinus beats every 15 s were selected and averaged. (b) Signal averaged waveform. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the T‐wave's apex (or nadir). (c) This process was repeated every 15 s", "Measurements are presented as mean value ± SD. Comparisons of measurements between two groups were analyzed by Mann–Whitney U test. Fisher's exact test was used for discrete variables. Receiver‐operator characteristics (ROC) curves were used to optimize each parameter's cutoff value for differentiation between LQT1 and LQT2.\nA p value < .05 was considered significant. Statistical calculations were performed with SPSS version 20 software (IBM Inc.).", "The clinical characteristics of both groups are shown in Table 1. No significant differences were found in age, sex, use of beta‐blockers, and history of syncope.\nComparison of each parameter between LQT1 and LQT2 patients", "Average QTe was significantly longer, and QTe/RR and QTa/RR slopes from entire 24‐hour Holter recordings were significantly steeper in the LQT2 patients than those in the LQT1 patients (472.0 ± 40.6 vs. 447.1 ± 44.8 ms, p = .037; 0.262 ± 0.063 vs. 0.204 ± 0.055, p = .0007; 0.233 ± 0.052 vs. 0.181 ± 0.040, p = .0002, respectively). Representative QT trend graph in both groups is shown in Figure 2, and representative QTa/RR slopes from entire 24‐hour, daytime and night‐time Holter recordings in both groups are shown in Figures 3, 4, 5, respectively. QTe/RR and QTa/RR slopes from daytime Holter recordings in the LQT2 patients were also significantly steeper than those in the LQT1 patients (0.197 ± 0.057 vs. 0.158 ± 0.066, p = .024; 0.190 ± 0.048 vs. 0.153 ± 0.050, p = .008, Table 1). There were no significant differences in the other parameters (Table 1).\nRepresentative the trend of QT interval along with the 24‐hour study in each group. QT trend graph of the LQT2 showed that QT prolongation was more prominent in the nighttime\nRepresentative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from entire 24‐hour Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient\nRepresentative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from daytime Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient\nRepresentative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from night‐time Holter recordings in the LQT1 patients and LQT2 patients. Although QTa/RR slope was steeper in the LQT2 patient than that of the LQT1 patient, the degree was lower than that from entire 24‐hour or daytime Holter recordings", "The receiver operating curve analysis revealed that the QTa/RR slope of 0.211 at the entire 24‐hour Holter was the best cutoff value for differential diagnosis between LQT1 and LQT2 (sensitivity: 80.0%, specificity: 75.0%, and area under the curve: 0.804 [95% CI = 0.68–0.93], Figure 6). Meanwhile, it showed an optimal cutoff point of 0.255 of the QTe/RR slope with 60.0% sensitivity and 89.3% specificity. The area under the curve of 0.774 (95% confidence interval, 0.64–0.91) was lower than that of the QTa‐RR slope.\nThe receiver operating characteristic (ROC) curve analysis showed an optimal cutoff point of 0.211 of QTa/RR slope from entire 24‐hour Holter recordings, with 80.0% sensitivity, 75.0% specificity, and an area under the curve of 0.804 (95% confidence interval, 0.68–0.93)", "Lack of control matched group is a major limitation of the study. Secondly, the sample size is relatively small and majority of patients were females, potentially resulting in selection bias. More extensive prospective studies are needed to confirm our findings and evaluate the QT/RR relationships’ clinical utility. However, our study has strength in that this is the first multicenter study, and all patients were genetically identified.", "QT/RR relationships using 24‐hour Holter monitoring are feasible and may be useful for differential diagnosis between LQT1 and LQT2.", "The study protocol was approved by the Institutional Review Board of each participating institution, and was conducted according to the principles of the Declaration of Helsinki. Written informed consent was obtained from all patients." ]
[ null, null, null, null, null, null, null, null, null, "conclusions", null ]
[ "INTRODUCTION", "METHODS", "Genetic studies", "Standard 12‐lead ECGs", "Holter ECG", "Statistical analysis", "RESULTS", "Clinical characteristics", "Holter analysis", "ROC analysis", "DISCUSSION", "Study limitations", "CONCLUSIONS", "CONFLICT OF INTEREST", "AUTHOR CONTRIBUTIONS", "ETHICS" ]
[ "Congenital long QT syndrome (LQTS) is a hereditary disorder characterized by prolonged QT interval and fatal ventricular arrhythmias (Schwartz et al., 1975; Shimizu, 2005). The clinical course and the treatment consideration in the congenital LQTS are genotype‐specific. The most frequent types of LQTS are LQT1 and LQT2, caused by mutations in genes of the potassium channels. Cardiac events are often associated with a sympathetic response by physical stress in LQT1 patients, and beta‐blockers are more effective than those in LQT2 patients (Moss et al., 2007; Shimizu et al., 2009). Therefore, the differential diagnosis between LQT1 and LQT2 is important but can be difficult with standard 12‐lead ECG. The QT–RR relationship using Holter ECG recordings is a novel method for evaluating QT adaptation to the heart rate change, and it has been reported to be useful for detecting LQTS. Patients with LQTS showed an abnormal prolongation of the QT intervals at lower heart rate, resulting in a steeper QT/RR slope than in controls (Merri et al., 1992; Neyroud et al., 1998). Furthermore, previous studies suggested that the heart rate dependence of QT interval was steeper in LQT2 than in LQT1, and QT intervals at slower heart rate were longer in LQT2 patients than those in LQT1 patients (Nemec et al., 2004; Viitasalo et al., 2002). Therefore, QT/RR relationship obtained from Holter monitoring may be useful for differential diagnosis between LQT1 and LQT2.\nIn the present study, we aimed to further evaluate the utility of QT/RR slope by 24‐hour Holter monitoring by examining that separately at daytime and at nighttime for differential diagnosis between LQT1 and LQT2.", "This prospective cross‐sectional study included 29 LQT1 patients genetically identified, and 25 LQT2 patients (mean age 23.4±14.9 years, seven males) recruited from three medical institutions from April 2014 to March 2019.\nGenetic studies In the present study, all patients were already genetically diagnosed with LQT1 or LQT2 by extracting genomic DNA from the leukocytes, then using a combination of polymerase chain reaction, either denaturing high‐performance liquid chromatography or single‐stranded conformation polymorphism and DNA sequencing.\nIn the present study, all patients were already genetically diagnosed with LQT1 or LQT2 by extracting genomic DNA from the leukocytes, then using a combination of polymerase chain reaction, either denaturing high‐performance liquid chromatography or single‐stranded conformation polymorphism and DNA sequencing.\nStandard 12‐lead ECGs We used a standard 12‐lead ECG tracing at 25‐mm/s paper speed and 10‐mm/mV amplitude. Their standard 12‐lead ECG was without any suspicious abnormalities (e.g., signs of ventricular hypertrophy, intraventricular conduction disturbances) except QT prolongation.\nWe used a standard 12‐lead ECG tracing at 25‐mm/s paper speed and 10‐mm/mV amplitude. Their standard 12‐lead ECG was without any suspicious abnormalities (e.g., signs of ventricular hypertrophy, intraventricular conduction disturbances) except QT prolongation.\nHolter ECG A digital ECG recording device (Kenz Cardy 303 pico+; SUZUKEN Co., Ltd.) with a sampling rate of 125Hz was used with an automatic measurement system (Kenz Cardy Analyzer 05®; SUZUKEN Co., Ltd.). Consecutive sinus beats every 15 s were averaged, and each parameter was measured. The rate‐corrected QT interval (QTc interval) was determined according to the Bazett formula. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the apex (or nadir) of the T wave (Figure 1). The linear regression slopes of the QTa interval and the QTe interval plotted against RR intervals (QTa/RR and QTe/RR slopes, respectively) were calculated by the least‐squares method. The QTe‐QTa interval was defined as the time between the QT apex and the QT end and was also plotted against RR intervals (QTe‐QTa/RR slope). These data were compared between a non‐sleep period (daytime) and an actual sleep period (nighttime).\nQT measurement. (a) Consecutive sinus beats every 15 s were selected and averaged. (b) Signal averaged waveform. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the T‐wave's apex (or nadir). (c) This process was repeated every 15 s\nA digital ECG recording device (Kenz Cardy 303 pico+; SUZUKEN Co., Ltd.) with a sampling rate of 125Hz was used with an automatic measurement system (Kenz Cardy Analyzer 05®; SUZUKEN Co., Ltd.). Consecutive sinus beats every 15 s were averaged, and each parameter was measured. The rate‐corrected QT interval (QTc interval) was determined according to the Bazett formula. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the apex (or nadir) of the T wave (Figure 1). The linear regression slopes of the QTa interval and the QTe interval plotted against RR intervals (QTa/RR and QTe/RR slopes, respectively) were calculated by the least‐squares method. The QTe‐QTa interval was defined as the time between the QT apex and the QT end and was also plotted against RR intervals (QTe‐QTa/RR slope). These data were compared between a non‐sleep period (daytime) and an actual sleep period (nighttime).\nQT measurement. (a) Consecutive sinus beats every 15 s were selected and averaged. (b) Signal averaged waveform. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the T‐wave's apex (or nadir). (c) This process was repeated every 15 s\nStatistical analysis Measurements are presented as mean value ± SD. Comparisons of measurements between two groups were analyzed by Mann–Whitney U test. Fisher's exact test was used for discrete variables. Receiver‐operator characteristics (ROC) curves were used to optimize each parameter's cutoff value for differentiation between LQT1 and LQT2.\nA p value < .05 was considered significant. Statistical calculations were performed with SPSS version 20 software (IBM Inc.).\nMeasurements are presented as mean value ± SD. Comparisons of measurements between two groups were analyzed by Mann–Whitney U test. Fisher's exact test was used for discrete variables. Receiver‐operator characteristics (ROC) curves were used to optimize each parameter's cutoff value for differentiation between LQT1 and LQT2.\nA p value < .05 was considered significant. Statistical calculations were performed with SPSS version 20 software (IBM Inc.).", "In the present study, all patients were already genetically diagnosed with LQT1 or LQT2 by extracting genomic DNA from the leukocytes, then using a combination of polymerase chain reaction, either denaturing high‐performance liquid chromatography or single‐stranded conformation polymorphism and DNA sequencing.", "We used a standard 12‐lead ECG tracing at 25‐mm/s paper speed and 10‐mm/mV amplitude. Their standard 12‐lead ECG was without any suspicious abnormalities (e.g., signs of ventricular hypertrophy, intraventricular conduction disturbances) except QT prolongation.", "A digital ECG recording device (Kenz Cardy 303 pico+; SUZUKEN Co., Ltd.) with a sampling rate of 125Hz was used with an automatic measurement system (Kenz Cardy Analyzer 05®; SUZUKEN Co., Ltd.). Consecutive sinus beats every 15 s were averaged, and each parameter was measured. The rate‐corrected QT interval (QTc interval) was determined according to the Bazett formula. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the apex (or nadir) of the T wave (Figure 1). The linear regression slopes of the QTa interval and the QTe interval plotted against RR intervals (QTa/RR and QTe/RR slopes, respectively) were calculated by the least‐squares method. The QTe‐QTa interval was defined as the time between the QT apex and the QT end and was also plotted against RR intervals (QTe‐QTa/RR slope). These data were compared between a non‐sleep period (daytime) and an actual sleep period (nighttime).\nQT measurement. (a) Consecutive sinus beats every 15 s were selected and averaged. (b) Signal averaged waveform. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the T‐wave's apex (or nadir). (c) This process was repeated every 15 s", "Measurements are presented as mean value ± SD. Comparisons of measurements between two groups were analyzed by Mann–Whitney U test. Fisher's exact test was used for discrete variables. Receiver‐operator characteristics (ROC) curves were used to optimize each parameter's cutoff value for differentiation between LQT1 and LQT2.\nA p value < .05 was considered significant. Statistical calculations were performed with SPSS version 20 software (IBM Inc.).", "Clinical characteristics The clinical characteristics of both groups are shown in Table 1. No significant differences were found in age, sex, use of beta‐blockers, and history of syncope.\nComparison of each parameter between LQT1 and LQT2 patients\nThe clinical characteristics of both groups are shown in Table 1. No significant differences were found in age, sex, use of beta‐blockers, and history of syncope.\nComparison of each parameter between LQT1 and LQT2 patients\nHolter analysis Average QTe was significantly longer, and QTe/RR and QTa/RR slopes from entire 24‐hour Holter recordings were significantly steeper in the LQT2 patients than those in the LQT1 patients (472.0 ± 40.6 vs. 447.1 ± 44.8 ms, p = .037; 0.262 ± 0.063 vs. 0.204 ± 0.055, p = .0007; 0.233 ± 0.052 vs. 0.181 ± 0.040, p = .0002, respectively). Representative QT trend graph in both groups is shown in Figure 2, and representative QTa/RR slopes from entire 24‐hour, daytime and night‐time Holter recordings in both groups are shown in Figures 3, 4, 5, respectively. QTe/RR and QTa/RR slopes from daytime Holter recordings in the LQT2 patients were also significantly steeper than those in the LQT1 patients (0.197 ± 0.057 vs. 0.158 ± 0.066, p = .024; 0.190 ± 0.048 vs. 0.153 ± 0.050, p = .008, Table 1). There were no significant differences in the other parameters (Table 1).\nRepresentative the trend of QT interval along with the 24‐hour study in each group. QT trend graph of the LQT2 showed that QT prolongation was more prominent in the nighttime\nRepresentative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from entire 24‐hour Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient\nRepresentative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from daytime Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient\nRepresentative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from night‐time Holter recordings in the LQT1 patients and LQT2 patients. Although QTa/RR slope was steeper in the LQT2 patient than that of the LQT1 patient, the degree was lower than that from entire 24‐hour or daytime Holter recordings\nAverage QTe was significantly longer, and QTe/RR and QTa/RR slopes from entire 24‐hour Holter recordings were significantly steeper in the LQT2 patients than those in the LQT1 patients (472.0 ± 40.6 vs. 447.1 ± 44.8 ms, p = .037; 0.262 ± 0.063 vs. 0.204 ± 0.055, p = .0007; 0.233 ± 0.052 vs. 0.181 ± 0.040, p = .0002, respectively). Representative QT trend graph in both groups is shown in Figure 2, and representative QTa/RR slopes from entire 24‐hour, daytime and night‐time Holter recordings in both groups are shown in Figures 3, 4, 5, respectively. QTe/RR and QTa/RR slopes from daytime Holter recordings in the LQT2 patients were also significantly steeper than those in the LQT1 patients (0.197 ± 0.057 vs. 0.158 ± 0.066, p = .024; 0.190 ± 0.048 vs. 0.153 ± 0.050, p = .008, Table 1). There were no significant differences in the other parameters (Table 1).\nRepresentative the trend of QT interval along with the 24‐hour study in each group. QT trend graph of the LQT2 showed that QT prolongation was more prominent in the nighttime\nRepresentative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from entire 24‐hour Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient\nRepresentative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from daytime Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient\nRepresentative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from night‐time Holter recordings in the LQT1 patients and LQT2 patients. Although QTa/RR slope was steeper in the LQT2 patient than that of the LQT1 patient, the degree was lower than that from entire 24‐hour or daytime Holter recordings\nROC analysis The receiver operating curve analysis revealed that the QTa/RR slope of 0.211 at the entire 24‐hour Holter was the best cutoff value for differential diagnosis between LQT1 and LQT2 (sensitivity: 80.0%, specificity: 75.0%, and area under the curve: 0.804 [95% CI = 0.68–0.93], Figure 6). Meanwhile, it showed an optimal cutoff point of 0.255 of the QTe/RR slope with 60.0% sensitivity and 89.3% specificity. The area under the curve of 0.774 (95% confidence interval, 0.64–0.91) was lower than that of the QTa‐RR slope.\nThe receiver operating characteristic (ROC) curve analysis showed an optimal cutoff point of 0.211 of QTa/RR slope from entire 24‐hour Holter recordings, with 80.0% sensitivity, 75.0% specificity, and an area under the curve of 0.804 (95% confidence interval, 0.68–0.93)\nThe receiver operating curve analysis revealed that the QTa/RR slope of 0.211 at the entire 24‐hour Holter was the best cutoff value for differential diagnosis between LQT1 and LQT2 (sensitivity: 80.0%, specificity: 75.0%, and area under the curve: 0.804 [95% CI = 0.68–0.93], Figure 6). Meanwhile, it showed an optimal cutoff point of 0.255 of the QTe/RR slope with 60.0% sensitivity and 89.3% specificity. The area under the curve of 0.774 (95% confidence interval, 0.64–0.91) was lower than that of the QTa‐RR slope.\nThe receiver operating characteristic (ROC) curve analysis showed an optimal cutoff point of 0.211 of QTa/RR slope from entire 24‐hour Holter recordings, with 80.0% sensitivity, 75.0% specificity, and an area under the curve of 0.804 (95% confidence interval, 0.68–0.93)", "The clinical characteristics of both groups are shown in Table 1. No significant differences were found in age, sex, use of beta‐blockers, and history of syncope.\nComparison of each parameter between LQT1 and LQT2 patients", "Average QTe was significantly longer, and QTe/RR and QTa/RR slopes from entire 24‐hour Holter recordings were significantly steeper in the LQT2 patients than those in the LQT1 patients (472.0 ± 40.6 vs. 447.1 ± 44.8 ms, p = .037; 0.262 ± 0.063 vs. 0.204 ± 0.055, p = .0007; 0.233 ± 0.052 vs. 0.181 ± 0.040, p = .0002, respectively). Representative QT trend graph in both groups is shown in Figure 2, and representative QTa/RR slopes from entire 24‐hour, daytime and night‐time Holter recordings in both groups are shown in Figures 3, 4, 5, respectively. QTe/RR and QTa/RR slopes from daytime Holter recordings in the LQT2 patients were also significantly steeper than those in the LQT1 patients (0.197 ± 0.057 vs. 0.158 ± 0.066, p = .024; 0.190 ± 0.048 vs. 0.153 ± 0.050, p = .008, Table 1). There were no significant differences in the other parameters (Table 1).\nRepresentative the trend of QT interval along with the 24‐hour study in each group. QT trend graph of the LQT2 showed that QT prolongation was more prominent in the nighttime\nRepresentative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from entire 24‐hour Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient\nRepresentative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from daytime Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient\nRepresentative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from night‐time Holter recordings in the LQT1 patients and LQT2 patients. Although QTa/RR slope was steeper in the LQT2 patient than that of the LQT1 patient, the degree was lower than that from entire 24‐hour or daytime Holter recordings", "The receiver operating curve analysis revealed that the QTa/RR slope of 0.211 at the entire 24‐hour Holter was the best cutoff value for differential diagnosis between LQT1 and LQT2 (sensitivity: 80.0%, specificity: 75.0%, and area under the curve: 0.804 [95% CI = 0.68–0.93], Figure 6). Meanwhile, it showed an optimal cutoff point of 0.255 of the QTe/RR slope with 60.0% sensitivity and 89.3% specificity. The area under the curve of 0.774 (95% confidence interval, 0.64–0.91) was lower than that of the QTa‐RR slope.\nThe receiver operating characteristic (ROC) curve analysis showed an optimal cutoff point of 0.211 of QTa/RR slope from entire 24‐hour Holter recordings, with 80.0% sensitivity, 75.0% specificity, and an area under the curve of 0.804 (95% confidence interval, 0.68–0.93)", "The present study demonstrated that QTe/RR and QTa/RR slopes from entire 24‐hour and daytime Holter recordings were significantly steeper in the LQT2 patients in contrary to LQT1 patients. A cutoff score of 0.211 of QTa/RR slope from entire 24‐hour Holter recordings was most optimal to differentiate LQT1 from LQT2 (sensitivity, 80%; specificity, 75%).\nThe identification of LQTS genotype is crucial because the treatment differs according to LQTS genotype. From an electrocardiographic point of view, broad‐based prolonged T waves are commonly observed in the LQT1 syndrome, whereas low‐amplitude T waves with a notched or bifurcated configuration are seen frequently in the LQT2 syndrome (Moss et al., 1995).\nZhang et al. have developed T‐wave patterns of LQT1 (infantile ST‐T wave, broad‐based, normal ‐appearing T wave, and late‐onset normal‐appearing T wave) and of LQT2 (obvious bifid T wave, subtle bifid T wave with second component on the top or the downslope, and low‐amplitude and widely split bifid T wave) to discriminate among LQTS patients with different genotypes. Using these patterns, cardiologists could identify LQT1 and LQT2 patients, but the sensitivity is not so high (61% and 62%, respectively) (Takenaka et al., 2003). Although the exercise‐stress test and epinephrine infusion test have been proposed for differential diagnosis between LQT1 and LQT2, they are provocative or invasive (Shimizu et al., 2004; Zhang et al., 2000). The findings of the present study suggest that QT/RR relationships may have additional value over standard 12‐lead ECG.\nQT/RR relationships analyzed based on long‐term Holter recordings can evaluate the QT adaptation to a changing heart rate. It has been demonstrated that the QT/RR slope was significantly increased in patients with structural heart disease (Cygankiewicz et al., 2009; Iacoviello et al., 2007; Milliez et al., 2005). As for LQTS patients, a previous QT/RR relationship analysis showed a linear slope equal to 0.12 ± 0.04 in healthy subjects and a significantly higher slope in LQT1 and LQT2 carriers (QT slope >0.17). However, no significant difference was observed at the QT/RR slope between LQT1 and LQT2 (0.17 ± 0.10 vs. 0.22 ± 0.16) (Couderc et al., 2007). In contrast, Yamaguchi et al reported that QT/RR slope was significantly greater in LQT2 than in LQT1 patients (0.207 ± 0.032 vs. 0.163 ± 0.014, p < .05) (Yamaguchi et al., 2017).\nIn this multicenter study with all patients genetically identified, QTe/RR and QTa/RR slopes from entire 24‐hour and daytime Holter recordings were significantly steeper in the LQT2 patients compared to the LQT1 patients. Our findings support previous studies suggesting that QT/RR relationship may be useful for differential diagnosis between LQT1 and LQT2. The steeper QT/RR slope in the LQT2 than that in the LQT1 is at least due to more significant QT prolongation at an increased heart rate in the LQT1 compared to the LQT2 patients, resulting in a more gradual QT/RR slope at an increased heart rate in the LQT1 patients. Our result may support this speculation that the QT/RR slope at daytime, when a sympathetic tone is higher, was significantly steeper in the LQT2, whereas that at nighttime, when a sympathetic tone is lower, was not different between the LQT1 and LQT2. The QT/RR slope is influenced by autonomic balance and has circadian variations (Extramiana et al., 1999). Recently, Page et al. reported that LQT1 patients showed more frequent QTc prolongation during the day than night. In contrast, LQT2 patients showed less frequent QTc prolongation during the day than at night (Page et al., 2016).\nQTe‐QTa is considered to reflect transmural dispersion of repolarization (TDR) and possibly useful for differential diagnosis between LQT1 and LQT2. Our previous study from the body surface potential mapping showed that the QTe‐QTa was more decreased in LQT1 than that in LQT2 patients after beta‐blockade administration (Shimizu et al., 2002). This may explain the reason why beta‐blockers are more effective in LQT1 than LQT2. In the present study, there were no significant differences in QTe‐QTa/RR slope between the LQT1 and the LQT2, although the reason of this finding is unclear.\nStudy limitations Lack of control matched group is a major limitation of the study. Secondly, the sample size is relatively small and majority of patients were females, potentially resulting in selection bias. More extensive prospective studies are needed to confirm our findings and evaluate the QT/RR relationships’ clinical utility. However, our study has strength in that this is the first multicenter study, and all patients were genetically identified.\nLack of control matched group is a major limitation of the study. Secondly, the sample size is relatively small and majority of patients were females, potentially resulting in selection bias. More extensive prospective studies are needed to confirm our findings and evaluate the QT/RR relationships’ clinical utility. However, our study has strength in that this is the first multicenter study, and all patients were genetically identified.", "Lack of control matched group is a major limitation of the study. Secondly, the sample size is relatively small and majority of patients were females, potentially resulting in selection bias. More extensive prospective studies are needed to confirm our findings and evaluate the QT/RR relationships’ clinical utility. However, our study has strength in that this is the first multicenter study, and all patients were genetically identified.", "QT/RR relationships using 24‐hour Holter monitoring are feasible and may be useful for differential diagnosis between LQT1 and LQT2.", "K.Y., T.A., N.S., T.Y., H.M., Y.I., and Y.K. have no relationships to disclose. W.S. has received honoraria from Suzuken Co. Ltd.", "K.Y. contributed to data collection, data management and analyses, statistical analyses, and writing of the manuscript. W.S. contributed to data analyses, supervision, and revision of the manuscript. T.A., N.S., and Y.K. contributed to data collection, supervision, and revision of the manuscript. T.Y., H.M., and Y.I. contributed to supervision and revision of the manuscript.", "The study protocol was approved by the Institutional Review Board of each participating institution, and was conducted according to the principles of the Declaration of Helsinki. Written informed consent was obtained from all patients." ]
[ null, "methods", null, null, null, null, "results", null, null, null, "discussion", null, "conclusions", "COI-statement", "conclusions", null ]
[ "ECG", "Holter monitoring", "long QT syndrome", "QQ/RR relationships" ]
INTRODUCTION: Congenital long QT syndrome (LQTS) is a hereditary disorder characterized by prolonged QT interval and fatal ventricular arrhythmias (Schwartz et al., 1975; Shimizu, 2005). The clinical course and the treatment consideration in the congenital LQTS are genotype‐specific. The most frequent types of LQTS are LQT1 and LQT2, caused by mutations in genes of the potassium channels. Cardiac events are often associated with a sympathetic response by physical stress in LQT1 patients, and beta‐blockers are more effective than those in LQT2 patients (Moss et al., 2007; Shimizu et al., 2009). Therefore, the differential diagnosis between LQT1 and LQT2 is important but can be difficult with standard 12‐lead ECG. The QT–RR relationship using Holter ECG recordings is a novel method for evaluating QT adaptation to the heart rate change, and it has been reported to be useful for detecting LQTS. Patients with LQTS showed an abnormal prolongation of the QT intervals at lower heart rate, resulting in a steeper QT/RR slope than in controls (Merri et al., 1992; Neyroud et al., 1998). Furthermore, previous studies suggested that the heart rate dependence of QT interval was steeper in LQT2 than in LQT1, and QT intervals at slower heart rate were longer in LQT2 patients than those in LQT1 patients (Nemec et al., 2004; Viitasalo et al., 2002). Therefore, QT/RR relationship obtained from Holter monitoring may be useful for differential diagnosis between LQT1 and LQT2. In the present study, we aimed to further evaluate the utility of QT/RR slope by 24‐hour Holter monitoring by examining that separately at daytime and at nighttime for differential diagnosis between LQT1 and LQT2. METHODS: This prospective cross‐sectional study included 29 LQT1 patients genetically identified, and 25 LQT2 patients (mean age 23.4±14.9 years, seven males) recruited from three medical institutions from April 2014 to March 2019. Genetic studies In the present study, all patients were already genetically diagnosed with LQT1 or LQT2 by extracting genomic DNA from the leukocytes, then using a combination of polymerase chain reaction, either denaturing high‐performance liquid chromatography or single‐stranded conformation polymorphism and DNA sequencing. In the present study, all patients were already genetically diagnosed with LQT1 or LQT2 by extracting genomic DNA from the leukocytes, then using a combination of polymerase chain reaction, either denaturing high‐performance liquid chromatography or single‐stranded conformation polymorphism and DNA sequencing. Standard 12‐lead ECGs We used a standard 12‐lead ECG tracing at 25‐mm/s paper speed and 10‐mm/mV amplitude. Their standard 12‐lead ECG was without any suspicious abnormalities (e.g., signs of ventricular hypertrophy, intraventricular conduction disturbances) except QT prolongation. We used a standard 12‐lead ECG tracing at 25‐mm/s paper speed and 10‐mm/mV amplitude. Their standard 12‐lead ECG was without any suspicious abnormalities (e.g., signs of ventricular hypertrophy, intraventricular conduction disturbances) except QT prolongation. Holter ECG A digital ECG recording device (Kenz Cardy 303 pico+; SUZUKEN Co., Ltd.) with a sampling rate of 125Hz was used with an automatic measurement system (Kenz Cardy Analyzer 05®; SUZUKEN Co., Ltd.). Consecutive sinus beats every 15 s were averaged, and each parameter was measured. The rate‐corrected QT interval (QTc interval) was determined according to the Bazett formula. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the apex (or nadir) of the T wave (Figure 1). The linear regression slopes of the QTa interval and the QTe interval plotted against RR intervals (QTa/RR and QTe/RR slopes, respectively) were calculated by the least‐squares method. The QTe‐QTa interval was defined as the time between the QT apex and the QT end and was also plotted against RR intervals (QTe‐QTa/RR slope). These data were compared between a non‐sleep period (daytime) and an actual sleep period (nighttime). QT measurement. (a) Consecutive sinus beats every 15 s were selected and averaged. (b) Signal averaged waveform. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the T‐wave's apex (or nadir). (c) This process was repeated every 15 s A digital ECG recording device (Kenz Cardy 303 pico+; SUZUKEN Co., Ltd.) with a sampling rate of 125Hz was used with an automatic measurement system (Kenz Cardy Analyzer 05®; SUZUKEN Co., Ltd.). Consecutive sinus beats every 15 s were averaged, and each parameter was measured. The rate‐corrected QT interval (QTc interval) was determined according to the Bazett formula. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the apex (or nadir) of the T wave (Figure 1). The linear regression slopes of the QTa interval and the QTe interval plotted against RR intervals (QTa/RR and QTe/RR slopes, respectively) were calculated by the least‐squares method. The QTe‐QTa interval was defined as the time between the QT apex and the QT end and was also plotted against RR intervals (QTe‐QTa/RR slope). These data were compared between a non‐sleep period (daytime) and an actual sleep period (nighttime). QT measurement. (a) Consecutive sinus beats every 15 s were selected and averaged. (b) Signal averaged waveform. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the T‐wave's apex (or nadir). (c) This process was repeated every 15 s Statistical analysis Measurements are presented as mean value ± SD. Comparisons of measurements between two groups were analyzed by Mann–Whitney U test. Fisher's exact test was used for discrete variables. Receiver‐operator characteristics (ROC) curves were used to optimize each parameter's cutoff value for differentiation between LQT1 and LQT2. A p value < .05 was considered significant. Statistical calculations were performed with SPSS version 20 software (IBM Inc.). Measurements are presented as mean value ± SD. Comparisons of measurements between two groups were analyzed by Mann–Whitney U test. Fisher's exact test was used for discrete variables. Receiver‐operator characteristics (ROC) curves were used to optimize each parameter's cutoff value for differentiation between LQT1 and LQT2. A p value < .05 was considered significant. Statistical calculations were performed with SPSS version 20 software (IBM Inc.). Genetic studies: In the present study, all patients were already genetically diagnosed with LQT1 or LQT2 by extracting genomic DNA from the leukocytes, then using a combination of polymerase chain reaction, either denaturing high‐performance liquid chromatography or single‐stranded conformation polymorphism and DNA sequencing. Standard 12‐lead ECGs: We used a standard 12‐lead ECG tracing at 25‐mm/s paper speed and 10‐mm/mV amplitude. Their standard 12‐lead ECG was without any suspicious abnormalities (e.g., signs of ventricular hypertrophy, intraventricular conduction disturbances) except QT prolongation. Holter ECG: A digital ECG recording device (Kenz Cardy 303 pico+; SUZUKEN Co., Ltd.) with a sampling rate of 125Hz was used with an automatic measurement system (Kenz Cardy Analyzer 05®; SUZUKEN Co., Ltd.). Consecutive sinus beats every 15 s were averaged, and each parameter was measured. The rate‐corrected QT interval (QTc interval) was determined according to the Bazett formula. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the apex (or nadir) of the T wave (Figure 1). The linear regression slopes of the QTa interval and the QTe interval plotted against RR intervals (QTa/RR and QTe/RR slopes, respectively) were calculated by the least‐squares method. The QTe‐QTa interval was defined as the time between the QT apex and the QT end and was also plotted against RR intervals (QTe‐QTa/RR slope). These data were compared between a non‐sleep period (daytime) and an actual sleep period (nighttime). QT measurement. (a) Consecutive sinus beats every 15 s were selected and averaged. (b) Signal averaged waveform. The QTe interval was defined as the time between the QRS onset and the point at which the isoelectric line intersected a line tangent to the maximal (or minimal) downslope of the positive (or negative) T wave. The QTa interval was defined as the time between the QRS onset and the T‐wave's apex (or nadir). (c) This process was repeated every 15 s Statistical analysis: Measurements are presented as mean value ± SD. Comparisons of measurements between two groups were analyzed by Mann–Whitney U test. Fisher's exact test was used for discrete variables. Receiver‐operator characteristics (ROC) curves were used to optimize each parameter's cutoff value for differentiation between LQT1 and LQT2. A p value < .05 was considered significant. Statistical calculations were performed with SPSS version 20 software (IBM Inc.). RESULTS: Clinical characteristics The clinical characteristics of both groups are shown in Table 1. No significant differences were found in age, sex, use of beta‐blockers, and history of syncope. Comparison of each parameter between LQT1 and LQT2 patients The clinical characteristics of both groups are shown in Table 1. No significant differences were found in age, sex, use of beta‐blockers, and history of syncope. Comparison of each parameter between LQT1 and LQT2 patients Holter analysis Average QTe was significantly longer, and QTe/RR and QTa/RR slopes from entire 24‐hour Holter recordings were significantly steeper in the LQT2 patients than those in the LQT1 patients (472.0 ± 40.6 vs. 447.1 ± 44.8 ms, p = .037; 0.262 ± 0.063 vs. 0.204 ± 0.055, p = .0007; 0.233 ± 0.052 vs. 0.181 ± 0.040, p = .0002, respectively). Representative QT trend graph in both groups is shown in Figure 2, and representative QTa/RR slopes from entire 24‐hour, daytime and night‐time Holter recordings in both groups are shown in Figures 3, 4, 5, respectively. QTe/RR and QTa/RR slopes from daytime Holter recordings in the LQT2 patients were also significantly steeper than those in the LQT1 patients (0.197 ± 0.057 vs. 0.158 ± 0.066, p = .024; 0.190 ± 0.048 vs. 0.153 ± 0.050, p = .008, Table 1). There were no significant differences in the other parameters (Table 1). Representative the trend of QT interval along with the 24‐hour study in each group. QT trend graph of the LQT2 showed that QT prolongation was more prominent in the nighttime Representative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from entire 24‐hour Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient Representative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from daytime Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient Representative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from night‐time Holter recordings in the LQT1 patients and LQT2 patients. Although QTa/RR slope was steeper in the LQT2 patient than that of the LQT1 patient, the degree was lower than that from entire 24‐hour or daytime Holter recordings Average QTe was significantly longer, and QTe/RR and QTa/RR slopes from entire 24‐hour Holter recordings were significantly steeper in the LQT2 patients than those in the LQT1 patients (472.0 ± 40.6 vs. 447.1 ± 44.8 ms, p = .037; 0.262 ± 0.063 vs. 0.204 ± 0.055, p = .0007; 0.233 ± 0.052 vs. 0.181 ± 0.040, p = .0002, respectively). Representative QT trend graph in both groups is shown in Figure 2, and representative QTa/RR slopes from entire 24‐hour, daytime and night‐time Holter recordings in both groups are shown in Figures 3, 4, 5, respectively. QTe/RR and QTa/RR slopes from daytime Holter recordings in the LQT2 patients were also significantly steeper than those in the LQT1 patients (0.197 ± 0.057 vs. 0.158 ± 0.066, p = .024; 0.190 ± 0.048 vs. 0.153 ± 0.050, p = .008, Table 1). There were no significant differences in the other parameters (Table 1). Representative the trend of QT interval along with the 24‐hour study in each group. QT trend graph of the LQT2 showed that QT prolongation was more prominent in the nighttime Representative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from entire 24‐hour Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient Representative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from daytime Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient Representative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from night‐time Holter recordings in the LQT1 patients and LQT2 patients. Although QTa/RR slope was steeper in the LQT2 patient than that of the LQT1 patient, the degree was lower than that from entire 24‐hour or daytime Holter recordings ROC analysis The receiver operating curve analysis revealed that the QTa/RR slope of 0.211 at the entire 24‐hour Holter was the best cutoff value for differential diagnosis between LQT1 and LQT2 (sensitivity: 80.0%, specificity: 75.0%, and area under the curve: 0.804 [95% CI = 0.68–0.93], Figure 6). Meanwhile, it showed an optimal cutoff point of 0.255 of the QTe/RR slope with 60.0% sensitivity and 89.3% specificity. The area under the curve of 0.774 (95% confidence interval, 0.64–0.91) was lower than that of the QTa‐RR slope. The receiver operating characteristic (ROC) curve analysis showed an optimal cutoff point of 0.211 of QTa/RR slope from entire 24‐hour Holter recordings, with 80.0% sensitivity, 75.0% specificity, and an area under the curve of 0.804 (95% confidence interval, 0.68–0.93) The receiver operating curve analysis revealed that the QTa/RR slope of 0.211 at the entire 24‐hour Holter was the best cutoff value for differential diagnosis between LQT1 and LQT2 (sensitivity: 80.0%, specificity: 75.0%, and area under the curve: 0.804 [95% CI = 0.68–0.93], Figure 6). Meanwhile, it showed an optimal cutoff point of 0.255 of the QTe/RR slope with 60.0% sensitivity and 89.3% specificity. The area under the curve of 0.774 (95% confidence interval, 0.64–0.91) was lower than that of the QTa‐RR slope. The receiver operating characteristic (ROC) curve analysis showed an optimal cutoff point of 0.211 of QTa/RR slope from entire 24‐hour Holter recordings, with 80.0% sensitivity, 75.0% specificity, and an area under the curve of 0.804 (95% confidence interval, 0.68–0.93) Clinical characteristics: The clinical characteristics of both groups are shown in Table 1. No significant differences were found in age, sex, use of beta‐blockers, and history of syncope. Comparison of each parameter between LQT1 and LQT2 patients Holter analysis: Average QTe was significantly longer, and QTe/RR and QTa/RR slopes from entire 24‐hour Holter recordings were significantly steeper in the LQT2 patients than those in the LQT1 patients (472.0 ± 40.6 vs. 447.1 ± 44.8 ms, p = .037; 0.262 ± 0.063 vs. 0.204 ± 0.055, p = .0007; 0.233 ± 0.052 vs. 0.181 ± 0.040, p = .0002, respectively). Representative QT trend graph in both groups is shown in Figure 2, and representative QTa/RR slopes from entire 24‐hour, daytime and night‐time Holter recordings in both groups are shown in Figures 3, 4, 5, respectively. QTe/RR and QTa/RR slopes from daytime Holter recordings in the LQT2 patients were also significantly steeper than those in the LQT1 patients (0.197 ± 0.057 vs. 0.158 ± 0.066, p = .024; 0.190 ± 0.048 vs. 0.153 ± 0.050, p = .008, Table 1). There were no significant differences in the other parameters (Table 1). Representative the trend of QT interval along with the 24‐hour study in each group. QT trend graph of the LQT2 showed that QT prolongation was more prominent in the nighttime Representative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from entire 24‐hour Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient Representative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from daytime Holter recordings in the LQT1 and LQT2 patients. QTa/RR and QTe/RR slopes were steeper in the LQT2 patient than that of the LQT1 patient Representative QTa/RR, QTe/RR, and QTe‐QTa/RR slopes from night‐time Holter recordings in the LQT1 patients and LQT2 patients. Although QTa/RR slope was steeper in the LQT2 patient than that of the LQT1 patient, the degree was lower than that from entire 24‐hour or daytime Holter recordings ROC analysis: The receiver operating curve analysis revealed that the QTa/RR slope of 0.211 at the entire 24‐hour Holter was the best cutoff value for differential diagnosis between LQT1 and LQT2 (sensitivity: 80.0%, specificity: 75.0%, and area under the curve: 0.804 [95% CI = 0.68–0.93], Figure 6). Meanwhile, it showed an optimal cutoff point of 0.255 of the QTe/RR slope with 60.0% sensitivity and 89.3% specificity. The area under the curve of 0.774 (95% confidence interval, 0.64–0.91) was lower than that of the QTa‐RR slope. The receiver operating characteristic (ROC) curve analysis showed an optimal cutoff point of 0.211 of QTa/RR slope from entire 24‐hour Holter recordings, with 80.0% sensitivity, 75.0% specificity, and an area under the curve of 0.804 (95% confidence interval, 0.68–0.93) DISCUSSION: The present study demonstrated that QTe/RR and QTa/RR slopes from entire 24‐hour and daytime Holter recordings were significantly steeper in the LQT2 patients in contrary to LQT1 patients. A cutoff score of 0.211 of QTa/RR slope from entire 24‐hour Holter recordings was most optimal to differentiate LQT1 from LQT2 (sensitivity, 80%; specificity, 75%). The identification of LQTS genotype is crucial because the treatment differs according to LQTS genotype. From an electrocardiographic point of view, broad‐based prolonged T waves are commonly observed in the LQT1 syndrome, whereas low‐amplitude T waves with a notched or bifurcated configuration are seen frequently in the LQT2 syndrome (Moss et al., 1995). Zhang et al. have developed T‐wave patterns of LQT1 (infantile ST‐T wave, broad‐based, normal ‐appearing T wave, and late‐onset normal‐appearing T wave) and of LQT2 (obvious bifid T wave, subtle bifid T wave with second component on the top or the downslope, and low‐amplitude and widely split bifid T wave) to discriminate among LQTS patients with different genotypes. Using these patterns, cardiologists could identify LQT1 and LQT2 patients, but the sensitivity is not so high (61% and 62%, respectively) (Takenaka et al., 2003). Although the exercise‐stress test and epinephrine infusion test have been proposed for differential diagnosis between LQT1 and LQT2, they are provocative or invasive (Shimizu et al., 2004; Zhang et al., 2000). The findings of the present study suggest that QT/RR relationships may have additional value over standard 12‐lead ECG. QT/RR relationships analyzed based on long‐term Holter recordings can evaluate the QT adaptation to a changing heart rate. It has been demonstrated that the QT/RR slope was significantly increased in patients with structural heart disease (Cygankiewicz et al., 2009; Iacoviello et al., 2007; Milliez et al., 2005). As for LQTS patients, a previous QT/RR relationship analysis showed a linear slope equal to 0.12 ± 0.04 in healthy subjects and a significantly higher slope in LQT1 and LQT2 carriers (QT slope >0.17). However, no significant difference was observed at the QT/RR slope between LQT1 and LQT2 (0.17 ± 0.10 vs. 0.22 ± 0.16) (Couderc et al., 2007). In contrast, Yamaguchi et al reported that QT/RR slope was significantly greater in LQT2 than in LQT1 patients (0.207 ± 0.032 vs. 0.163 ± 0.014, p < .05) (Yamaguchi et al., 2017). In this multicenter study with all patients genetically identified, QTe/RR and QTa/RR slopes from entire 24‐hour and daytime Holter recordings were significantly steeper in the LQT2 patients compared to the LQT1 patients. Our findings support previous studies suggesting that QT/RR relationship may be useful for differential diagnosis between LQT1 and LQT2. The steeper QT/RR slope in the LQT2 than that in the LQT1 is at least due to more significant QT prolongation at an increased heart rate in the LQT1 compared to the LQT2 patients, resulting in a more gradual QT/RR slope at an increased heart rate in the LQT1 patients. Our result may support this speculation that the QT/RR slope at daytime, when a sympathetic tone is higher, was significantly steeper in the LQT2, whereas that at nighttime, when a sympathetic tone is lower, was not different between the LQT1 and LQT2. The QT/RR slope is influenced by autonomic balance and has circadian variations (Extramiana et al., 1999). Recently, Page et al. reported that LQT1 patients showed more frequent QTc prolongation during the day than night. In contrast, LQT2 patients showed less frequent QTc prolongation during the day than at night (Page et al., 2016). QTe‐QTa is considered to reflect transmural dispersion of repolarization (TDR) and possibly useful for differential diagnosis between LQT1 and LQT2. Our previous study from the body surface potential mapping showed that the QTe‐QTa was more decreased in LQT1 than that in LQT2 patients after beta‐blockade administration (Shimizu et al., 2002). This may explain the reason why beta‐blockers are more effective in LQT1 than LQT2. In the present study, there were no significant differences in QTe‐QTa/RR slope between the LQT1 and the LQT2, although the reason of this finding is unclear. Study limitations Lack of control matched group is a major limitation of the study. Secondly, the sample size is relatively small and majority of patients were females, potentially resulting in selection bias. More extensive prospective studies are needed to confirm our findings and evaluate the QT/RR relationships’ clinical utility. However, our study has strength in that this is the first multicenter study, and all patients were genetically identified. Lack of control matched group is a major limitation of the study. Secondly, the sample size is relatively small and majority of patients were females, potentially resulting in selection bias. More extensive prospective studies are needed to confirm our findings and evaluate the QT/RR relationships’ clinical utility. However, our study has strength in that this is the first multicenter study, and all patients were genetically identified. Study limitations: Lack of control matched group is a major limitation of the study. Secondly, the sample size is relatively small and majority of patients were females, potentially resulting in selection bias. More extensive prospective studies are needed to confirm our findings and evaluate the QT/RR relationships’ clinical utility. However, our study has strength in that this is the first multicenter study, and all patients were genetically identified. CONCLUSIONS: QT/RR relationships using 24‐hour Holter monitoring are feasible and may be useful for differential diagnosis between LQT1 and LQT2. CONFLICT OF INTEREST: K.Y., T.A., N.S., T.Y., H.M., Y.I., and Y.K. have no relationships to disclose. W.S. has received honoraria from Suzuken Co. Ltd. AUTHOR CONTRIBUTIONS: K.Y. contributed to data collection, data management and analyses, statistical analyses, and writing of the manuscript. W.S. contributed to data analyses, supervision, and revision of the manuscript. T.A., N.S., and Y.K. contributed to data collection, supervision, and revision of the manuscript. T.Y., H.M., and Y.I. contributed to supervision and revision of the manuscript. ETHICS: The study protocol was approved by the Institutional Review Board of each participating institution, and was conducted according to the principles of the Declaration of Helsinki. Written informed consent was obtained from all patients.
Background: The clinical course and therapeutic strategies in the congenital long QT syndrome (LQTS) are genotype-specific. However, accurate estimation of LQTS genotype is often difficult from the standard 12-lead ECG. Methods: This cross-sectional study enrolled 54 genetically identified LQTS patients (29 LQT1 and 25 LQT2) recruited from three medical institutions. The QT-apex (QTa) interval and the QT-end (QTe) interval at each 15-second were plotted against the RR intervals, and the linear regression (QTa/RR and QTe/RR slopes, respectively) was calculated from the entire 24-hour and separately during the day or night-time periods of the Holter recordings. Results: The QTe/RR and QTa/RR slopes at the entire 24-hour were significantly steeper in LQT2 compared to those in LQT1 patients (0.262 ± 0.063 vs. 0.204 ± 0.055, p = .0007; 0.233 ± 0.052 vs. 0.181 ± 0.040, p = .0002, respectively). The QTe interval was significantly longer, and QTe/RR and QTa/RR slopes at daytime were significantly steeper in LQT2 than in LQT1 patients. The receiver operating curve analysis revealed that the QTa/RR slope of 0.211 at the entire 24-hour Holter was the best cutoff value for differential diagnosis between LQT1 and LQT2 (sensitivity: 80.0%, specificity: 75.0%, and area under curve: 0.804 [95%CI = 0.68-0.93]). Conclusions: The continuous 24-hour QT/RR analysis using the Holter monitoring may be useful to predict the genotype of congenital LQTS, particularly for LQT1 and LQT2.
INTRODUCTION: Congenital long QT syndrome (LQTS) is a hereditary disorder characterized by prolonged QT interval and fatal ventricular arrhythmias (Schwartz et al., 1975; Shimizu, 2005). The clinical course and the treatment consideration in the congenital LQTS are genotype‐specific. The most frequent types of LQTS are LQT1 and LQT2, caused by mutations in genes of the potassium channels. Cardiac events are often associated with a sympathetic response by physical stress in LQT1 patients, and beta‐blockers are more effective than those in LQT2 patients (Moss et al., 2007; Shimizu et al., 2009). Therefore, the differential diagnosis between LQT1 and LQT2 is important but can be difficult with standard 12‐lead ECG. The QT–RR relationship using Holter ECG recordings is a novel method for evaluating QT adaptation to the heart rate change, and it has been reported to be useful for detecting LQTS. Patients with LQTS showed an abnormal prolongation of the QT intervals at lower heart rate, resulting in a steeper QT/RR slope than in controls (Merri et al., 1992; Neyroud et al., 1998). Furthermore, previous studies suggested that the heart rate dependence of QT interval was steeper in LQT2 than in LQT1, and QT intervals at slower heart rate were longer in LQT2 patients than those in LQT1 patients (Nemec et al., 2004; Viitasalo et al., 2002). Therefore, QT/RR relationship obtained from Holter monitoring may be useful for differential diagnosis between LQT1 and LQT2. In the present study, we aimed to further evaluate the utility of QT/RR slope by 24‐hour Holter monitoring by examining that separately at daytime and at nighttime for differential diagnosis between LQT1 and LQT2. AUTHOR CONTRIBUTIONS: K.Y. contributed to data collection, data management and analyses, statistical analyses, and writing of the manuscript. W.S. contributed to data analyses, supervision, and revision of the manuscript. T.A., N.S., and Y.K. contributed to data collection, supervision, and revision of the manuscript. T.Y., H.M., and Y.I. contributed to supervision and revision of the manuscript.
Background: The clinical course and therapeutic strategies in the congenital long QT syndrome (LQTS) are genotype-specific. However, accurate estimation of LQTS genotype is often difficult from the standard 12-lead ECG. Methods: This cross-sectional study enrolled 54 genetically identified LQTS patients (29 LQT1 and 25 LQT2) recruited from three medical institutions. The QT-apex (QTa) interval and the QT-end (QTe) interval at each 15-second were plotted against the RR intervals, and the linear regression (QTa/RR and QTe/RR slopes, respectively) was calculated from the entire 24-hour and separately during the day or night-time periods of the Holter recordings. Results: The QTe/RR and QTa/RR slopes at the entire 24-hour were significantly steeper in LQT2 compared to those in LQT1 patients (0.262 ± 0.063 vs. 0.204 ± 0.055, p = .0007; 0.233 ± 0.052 vs. 0.181 ± 0.040, p = .0002, respectively). The QTe interval was significantly longer, and QTe/RR and QTa/RR slopes at daytime were significantly steeper in LQT2 than in LQT1 patients. The receiver operating curve analysis revealed that the QTa/RR slope of 0.211 at the entire 24-hour Holter was the best cutoff value for differential diagnosis between LQT1 and LQT2 (sensitivity: 80.0%, specificity: 75.0%, and area under curve: 0.804 [95%CI = 0.68-0.93]). Conclusions: The continuous 24-hour QT/RR analysis using the Holter monitoring may be useful to predict the genotype of congenital LQTS, particularly for LQT1 and LQT2.
5,018
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[ 322, 45, 44, 330, 84, 41, 402, 165, 77, 22, 37 ]
16
[ "rr", "qta", "lqt2", "lqt1", "qte", "patients", "qta rr", "qt", "holter", "interval" ]
[ "recordings lqt1 patients", "ecg qt", "congenital long qt", "qt adaptation heart", "cardiologists identify lqt1" ]
[CONTENT] ECG | Holter monitoring | long QT syndrome | QQ/RR relationships [SUMMARY]
[CONTENT] ECG | Holter monitoring | long QT syndrome | QQ/RR relationships [SUMMARY]
[CONTENT] ECG | Holter monitoring | long QT syndrome | QQ/RR relationships [SUMMARY]
[CONTENT] ECG | Holter monitoring | long QT syndrome | QQ/RR relationships [SUMMARY]
[CONTENT] ECG | Holter monitoring | long QT syndrome | QQ/RR relationships [SUMMARY]
[CONTENT] ECG | Holter monitoring | long QT syndrome | QQ/RR relationships [SUMMARY]
[CONTENT] Cross-Sectional Studies | Diagnosis, Differential | Electrocardiography | Electrocardiography, Ambulatory | Humans | Long QT Syndrome [SUMMARY]
[CONTENT] Cross-Sectional Studies | Diagnosis, Differential | Electrocardiography | Electrocardiography, Ambulatory | Humans | Long QT Syndrome [SUMMARY]
[CONTENT] Cross-Sectional Studies | Diagnosis, Differential | Electrocardiography | Electrocardiography, Ambulatory | Humans | Long QT Syndrome [SUMMARY]
[CONTENT] Cross-Sectional Studies | Diagnosis, Differential | Electrocardiography | Electrocardiography, Ambulatory | Humans | Long QT Syndrome [SUMMARY]
[CONTENT] Cross-Sectional Studies | Diagnosis, Differential | Electrocardiography | Electrocardiography, Ambulatory | Humans | Long QT Syndrome [SUMMARY]
[CONTENT] Cross-Sectional Studies | Diagnosis, Differential | Electrocardiography | Electrocardiography, Ambulatory | Humans | Long QT Syndrome [SUMMARY]
[CONTENT] recordings lqt1 patients | ecg qt | congenital long qt | qt adaptation heart | cardiologists identify lqt1 [SUMMARY]
[CONTENT] recordings lqt1 patients | ecg qt | congenital long qt | qt adaptation heart | cardiologists identify lqt1 [SUMMARY]
[CONTENT] recordings lqt1 patients | ecg qt | congenital long qt | qt adaptation heart | cardiologists identify lqt1 [SUMMARY]
[CONTENT] recordings lqt1 patients | ecg qt | congenital long qt | qt adaptation heart | cardiologists identify lqt1 [SUMMARY]
[CONTENT] recordings lqt1 patients | ecg qt | congenital long qt | qt adaptation heart | cardiologists identify lqt1 [SUMMARY]
[CONTENT] recordings lqt1 patients | ecg qt | congenital long qt | qt adaptation heart | cardiologists identify lqt1 [SUMMARY]
[CONTENT] rr | qta | lqt2 | lqt1 | qte | patients | qta rr | qt | holter | interval [SUMMARY]
[CONTENT] rr | qta | lqt2 | lqt1 | qte | patients | qta rr | qt | holter | interval [SUMMARY]
[CONTENT] rr | qta | lqt2 | lqt1 | qte | patients | qta rr | qt | holter | interval [SUMMARY]
[CONTENT] rr | qta | lqt2 | lqt1 | qte | patients | qta rr | qt | holter | interval [SUMMARY]
[CONTENT] rr | qta | lqt2 | lqt1 | qte | patients | qta rr | qt | holter | interval [SUMMARY]
[CONTENT] rr | qta | lqt2 | lqt1 | qte | patients | qta rr | qt | holter | interval [SUMMARY]
[CONTENT] qt | lqts | heart | heart rate | lqt2 | lqt1 | qt rr | rate | patients | congenital [SUMMARY]
[CONTENT] interval | interval defined | interval defined time | defined | defined time | qte | qta | time | defined time qrs | interval defined time qrs [SUMMARY]
[CONTENT] rr | qta | qta rr | qte | holter recordings | rr qte | holter | representative | patient | rr slopes [SUMMARY]
[CONTENT] contributed | manuscript | data | revision | contributed data | analyses | supervision revision manuscript | supervision | revision manuscript | supervision revision [SUMMARY]
[CONTENT] rr | lqt2 | qta | lqt1 | patients | qt | qte | qta rr | lqt1 lqt2 | interval [SUMMARY]
[CONTENT] rr | lqt2 | qta | lqt1 | patients | qt | qte | qta rr | lqt1 lqt2 | interval [SUMMARY]
[CONTENT] QT | LQTS ||| LQTS | 12 | ECG [SUMMARY]
[CONTENT] 54 | LQTS | 29 | LQT1 | 25 | three ||| QT | 15-second | 24-hour | day | Holter [SUMMARY]
[CONTENT] 24-hour | LQT1 | 0.262 ± | 0.063 | 0.204 | 0.055 | 0.233 | 0.052 | 0.181 | 0.040 ||| daytime | LQT1 ||| 0.211 | 24-hour | LQT1 | 80.0% | 75.0% | 0.804 ||| 0.68-0.93 [SUMMARY]
[CONTENT] 24-hour | QT | Holter | LQTS | LQT1 [SUMMARY]
[CONTENT] QT | LQTS ||| LQTS | 12 | ECG ||| 54 | LQTS | 29 | LQT1 | 25 | three ||| QT | 15-second | 24-hour | day | Holter ||| 24-hour | LQT1 | 0.262 ± | 0.063 | 0.204 | 0.055 | 0.233 | 0.052 | 0.181 | 0.040 ||| daytime | LQT1 ||| 0.211 | 24-hour | LQT1 | 80.0% | 75.0% | 0.804 ||| 0.68-0.93 ||| 24-hour | QT | Holter | LQTS | LQT1 [SUMMARY]
[CONTENT] QT | LQTS ||| LQTS | 12 | ECG ||| 54 | LQTS | 29 | LQT1 | 25 | three ||| QT | 15-second | 24-hour | day | Holter ||| 24-hour | LQT1 | 0.262 ± | 0.063 | 0.204 | 0.055 | 0.233 | 0.052 | 0.181 | 0.040 ||| daytime | LQT1 ||| 0.211 | 24-hour | LQT1 | 80.0% | 75.0% | 0.804 ||| 0.68-0.93 ||| 24-hour | QT | Holter | LQTS | LQT1 [SUMMARY]
Binding of the extracellular matrix laminin-1 to Clostridioides difficile strains.
35730804
Clostridioides difficile is the most common cause of nosocomial diarrhea associated with antibiotic use. The disease's symptoms are caused by enterotoxins, but other surface adhesion factors also play a role in the pathogenesis. These adhesins will bind to components of extracellular matrix.
BACKGROUND
A binding experiment revealed that different ribotypes have distinct adhesion capabilities. To identify this adhesin, an affinity chromatography column containing LMN-1 was prepared and total protein extracts were analysed using mass spectrometry.
METHODS
Strains from ribotypes 012 and 027 had the best adhesion when incubated with glucose supplementations (0.2%, 0.5%, and 1%), while RT135 had a poor adherence. The criteria were not met by RT014 and RT133. In the absence of glucose, there was no adhesion for any ribotype, implying that glucose is required and plays a significant role in adhesion.
FINDINGS
These findings show that in the presence of glucose, each C. difficile ribotype interacts differently with LMN-1, and the adhesin responsible for recognition could be SlpA protein.
MAIN CONCLUSIONS
[ "Clostridioides", "Clostridioides difficile", "Extracellular Matrix", "Glucose", "Laminin", "Ribotyping" ]
9208321
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RESULTS
Binding of C. difficile strains to LMN-1 - After 24 h of growth, fluorescence microscopy was used to assess the adherence of C. difficile ribotypes (RT012, RT027, RT135, RT014 and RT133) to LMN-1. First, all ribotypes were grown without glucose and adhesion assay to LMN-1 was performed. However, none of the ribotypes showed any signs of adherence. Regardless, after cultivating them in the presence of glucose at three different concentrations (0.2%, 0.5% and 1%), RT135, RT012 and RT027 were able to attach to LMN-1 (Fig. 1). Ribotypes 014 and 133 did not adhere to LMN-1 (data not shown) at any of the glucose concentrations tested. To quantify their adherence to LMN-1, all ribotypes were grown with three different concentrations of glucose, 0.2%, 0.5% and 1%. C. difficile ribotypes RT012 and RT027 adhered to LMN-1 more strongly than RT135 (Fig. 2). Fig. 1:adherence test of Clostridioides difficile ribotypes (24 h growth) to laminin-1 by fluorescence microscopy using different concentrations of glucose (0.2%, 0.5% and 1%) and live/dead staining. Green spots represent active, membrane-intact bacteria. A, B, C and D correspond to the adherence assay of RT012 (CD630 strain); E, F, G and H the adherence assay of RT027 (BI/NAP1) and I, J, K and L the assay of RT135 (SJ1 strain). WG: without supplementation of glucose. Fig. 2:quantitative adhesion assay of Clostridioides difficile ribotypes (24 h growth) to laminin-1 at different glucose concentrations (0.2%, 0.5% and 1%). All tests were performed in triplicate and the bars of the standard deviation corresponded to the mean of the three technical replicates. Results were considered significant when p < 0.05 (Student’s t unpaired test). Bovine serum albumin (BSA) 2% was used as a negative control (C-). Quantifying the binding of C. difficile strains to LMN-1 - After determining the optimal glucose concentration for maximum C. difficile adhesion to LMN-1, an adhesion assay was performed to evaluate influence of the incubation period (Fig. 3). Ribotypes 012 and 027 were chosen for their high adherence to LMN-1. Incubation period had no effect (p = 0.1535) on RT012 strain adhesion capacity (Fig. 3). RT027, on the other hand, showed increased adherence (p = 0.0055) only after 48 and 72 h of culture (Fig. 3). The molecular nature of the bacterial surface molecule involved in C. difficile binding to LMN-1 was investigated. The proteinase K treatment prior to the adhesion assay resulted in a significant reduction in the bacteria’s binding rates, as shown in Fig. 4. When the samples were treated with trypsin and sodium metaperiodate (MPS) the binding rates to LMN-1 increased. When compared to the untreated sample, treatments with proteinase K (p = 0.0061), trypsin (p = 0.0190) and MPS (p = 0.0001) affected binding (Fig. 5). When cells were first treated with proteinase K and then with MPS, adhesion to LMN-1 reduced compared to treatment with MPS alone (p = 0.0001). There was no increase in LMN-1 adhesion when only proteinase K was used. Fig. 3:adhesion test of ribotype RT012 (CD630) and RT027 of Clostridioides difficile strains to laminin-1 with 0.5% glucose and at different growth times (24 h, 48 h and 72 h). Bovine serum albumin (BSA) 2% was used as negative control (C-), without LMN-1. Results were considered significant when p < 0.05. Fig. 4:inhibition assay ribotype 012 (CD630) of Clostridioides difficile strains after chemical and enzymatic treatments. A - Proteinase K (15 µg/mL); B - Trypsin (20 µg/mL); C - sodium periodate (MPS; 100 mM); D - Bacteria without treatment; E - proteinase K (15 µg/mL) follow by MPS (100 mM); F - Negative control Bovine serum albumin (BSA) 2%, without LMN-1. All experiments were performed in triplicate. Magnification: 1000x. Fig. 5:quantification of the adhesion assay of Clostridioides difficile RT012 (CD630) against laminin-1 after chemical and enzymatic treatment. As negative control (C-) Bovine serum albumin (BSA - 2%) inoculated with strain CD630, without laminin, was used. The bars represent the standard deviations (*) of the means of two technical and two biological experiments. MPS: sodium metaperiodate. The results were considered significant when p < 0.05. Fig. 6:scanning electron microscopy (SEM) showing Clostridioides difficile RT012 (CD630) on glass coverslips at 24 h with 0.5% glucose. A - micrograph showing an extracellular fibrous-biofilm matrix (star) produced by C. difficile; B - micrograph showing C. difficile aggregation by the biofilm; C - Detail of the biofilm produced by C. difficile connecting the cell to the glass support (*). Scale bars: A - 20 μm; B - 10 μm; C - 2 μm. Fig. 7:immunoelectron microscopy of RT012 (CD630) from Clostridioides difficile. Cells with 24 h growth with 0.5% of glucose were incubated with laminin-1. Micrographs A and B show C. difficile cells incubated with LMN-1, treated with the anti-LMN-1 antibody and anti-IgG conjugated to colloidal gold beads. Arrows indicate recognition on the surface of bacterial cells. Scale bar: 2 μm. Matrix polymer production - SEM was used to examine growth on glass coverslips for C. difficile RT012 (Fig. 6). An extracellular fibrous-biofilm matrix was observed after 24 h of culture (Fig. 6A). C. difficile attachment to the glass coverslips was facilitated by the matrix (Fig. 6C). Furthermore, the intertwining biofilm appeared to aid bacterial aggregation (Fig. 6B). Immunoelectron microscopy of the interaction C. difficile Ribotype 012 and LMN-1 - An immunolabeling assay with colloidal gold particles was used to confirm the interaction C. difficile adhesin and LMN-1. Fig. 7 depicts positive labeling on the bacterial surface following interaction with LMN-1. The labeling was slight and visible in some cells. This finding suggests that this adhesin is present and exposed on the surface of C. difficile. Protein identification by mass spectrometry - The total protein extract was passed through an affinity chromatography column, and the elute applied to an SDS-PAGE to identify the protein(s) responsible for the recognition of LMN-1 by the RT012 C. difficile. Mass spectrometry was used to analyse all proteins present in the gel, and 14 proteins were identified (Supplementary data - Table). All proteins recognised were evaluated in the PsortB program to predict the cell localisation, revealing that four proteins (WP_021421450.1, WP_022618559.1, WP_021380039.1 and WP_021367719.1) were in the membrane. When UniProtKB database and SignalP were used to analyse the biological function of proteins, only one protein was identified with an adhesion function, a signal peptide (99% of chance - SEC/SPI secretion system) and with an extramembranous portion, the S-layer protein, SlpA (Accession numbers: WP_022618559.1).
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[ "MATERIALS AND METHODS", "RESULTS", "DISCUSSION" ]
[ "\nBacterial strains and culture conditions - All C. difficile isolates used in this study are from the Anaerobe Biology Laboratory’s Culture Collection (Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Brazil - UFRJ) (Table). Ribotypes 135 (SJ1 strain) and RT133 (HU09 strain) have been isolated from CDI patients in Brazil. The epidemic strains RT027 (R20291 strain; CDC ANA #2004016) and RT014 (1598) were included for comparison, as was the RT012 (CD630) strain. All strains were grown overnight at 37ºC in Brain Heart Infusion Broth - Pre- Reduced Anaerobic Sterilised (BHI-PRAS - 0.4 g/L cysteine, 10 µg/mL hemin (5.0 µg/mL), 4 mL/L resazurin and 10 µg/mL menadione; Oxoid®), in an anaerobic (80% nitrogen, 10% hydrogen, 10% carbon dioxide) cabinet (Coy Laboratory Products, INC.). In the formula of the BHI contains 2g/L of glucose (0.2%).\n\nTABLE\nClostridioides difficile strains used in this studyStrainsRibotypesToxigenic profile\nb\n\nClinical conditionsReferencesSJ1135\na\n\n\ntcdA\n+\n\n/tcdB\n+\n\n/CDT-\nSH, DM, hemorrhagic EVA\n\n23\n\nHU09133\na\n\n\ntcdA\n+\n\n/tcdB\n+\n\n/CDT-\nCrohn’s disease\n\n24\n\n1598014\ntcdA\n+\n\n/tcdB\n+\n\n/CDT-\nHIV+\n\n\n25\n\nBI/NAP1\nc\n\n027\ntcdA\n+\n\n/tcdB\n+\n /CDT+\n-\n\n26\n\n630012\ntcdA\n+\n\n/tcdB\n+\n\n/CDT-\nPseudomembranous colitis\n\n27\n\n\na: ribotypes of C. difficile exclusive from Brazil; b: polymerase chain reaction (PCR) was used to the detection of the toxin genes; c: BI/NAP1/027 strain (ANA #2004016) was kindly provided by Dr Angela Thompson from the CDC, Atlanta, USA; tcdA+ and tcdB+ (positive for the presence of toxins TcdA and TcdB); CDT: (+) positive or (-) negative for the presence of binary toxin genes; SH: system hypertension; DM: diabetes mellitus; EVA: haemorrhagic encephalic vascular accident; HIV+: positive for the human immunodeficiency virus.\n\n\na: ribotypes of C. difficile exclusive from Brazil; b: polymerase chain reaction (PCR) was used to the detection of the toxin genes; c: BI/NAP1/027 strain (ANA #2004016) was kindly provided by Dr Angela Thompson from the CDC, Atlanta, USA; tcdA+ and tcdB+ (positive for the presence of toxins TcdA and TcdB); CDT: (+) positive or (-) negative for the presence of binary toxin genes; SH: system hypertension; DM: diabetes mellitus; EVA: haemorrhagic encephalic vascular accident; HIV+: positive for the human immunodeficiency virus.\n\nLaminin-1 adhesion assay - Laminin-1 obtained from Engelbreth-Holm-Swarm mouse tumor EHS (LMN-1; Invitrogen), was immobilised on glass coverslips that had previously been placed into 24-well culture plates.\n10\n To prepare the plates, 20 μg/mL of LMN-1 was suspended in 10 mM Tris-HCl, pH 6.6 and coated with glass coverslips for 18 h at room temperature (RT). To avoid non-specific association, coverslips were washed gently with 1x phosphate-buffered saline (PBS) containing 0.1% bovine serum albumin (BSA) (w/v), and then blocked with 1% BSA for 1h at RT. Before the bacterial inoculum, a final wash with 1x PBS containing 0.01% Tween 20 was performed.\nAll steps of the adhesion assay were carried out under anaerobic conditions. C. difficile strains were grown in BHI-PRAS overnight at 37ºC. All samples were adjusted to an OD600 of 0.4 (approximately 108 CFU/mL) in an anaerobic buffer containing 1% BSA and 0.01% Tween 20 (0.1 g/L of magnesium sulfate; 0.2 g/L monobasic potassium phosphate; 3 g/L sodium chloride; 1.15 g/L dibasic sodium phosphate; 0.2 g/L of potassium chloride; 1 g/L sodium thioglycolate; 2 mL/L resazurin and 0.5 g/L cysteine). For the experiment, 300 μL of the sample were added to each well of the 24-well culture plates containing the LMN-1 coated coverslips and incubated for 1 h at 37ºC.\n28\n After that, a final wash with 1x PBS containing 0.01% Tween 20 was performed, followed by 30 min for sample fixation with 3.7% formaldehyde. A second experiment was carried out under the same conditions, but with the bacterial strains grown in BHI-PRAS with an additional of 0.2%, 0.5%, or 1% glucose (Sigma-Aldrich) for 24 h, 48 h and 72 h to assess the effect of glucose on bacterial growth and adhesion to LMN-1. For the negative control, coverslips were incubated only with C. difficile strains and 2% of BSA (without LMN-1).\nAll coverslips were washed twice with distillated water before being incubated with 250 μL of Live/Dead® BacLight™ Bacterial Viability Kit (Life Technologies) staining solution (3 µL of the dye mixture for each mL de distillated water). The plate was slowly agitated in the dark for 15 min under slow agitation. A fluorescence microscope (Carl Zeiss, Inc.) was used to capture the images.\n28\n Bacterial adhesion was measured by counting an average of 20 random fields with the ImageJ software (Version 1.6.0_24) after. The assay was carried out in triplicate.\n\nChemical treatments - Clostridioides difficile RT012 was subjected to two different treatments in order to characterise the chemical nature of the molecule responsible for the adhesion, such as: incubation with proteinase K, a serine protease that hydrolyses a variety of peptide bonds (15 μg/mL), and with trypsin, which cleaves peptides at the C-terminal side of lysine and arginine amino acid residues (20 μg/mL). Both proteases were diluted in 0.1 M PBS pH 7.4 and incubated at 37ºC for 1 h. Alternatively, cells were also incubated for 1 h at 37ºC with 100 mM sodium periodate (glycoprotein oxidation) diluted in 0.05 M sodium acetate buffer pH 5.0.\n10\n The bacterial inoculum was prepared using the same method as the LMN-1 adhesion assay.\n\nScanning electron microscopy (SEM) - SEM analysis was used to characterise the C. difficile matrix structure, as described in Pantaléon,\n29\n with modifications. In brief, C. difficile strains were grown, according to the bacterial strains and culture conditions item, onto coverslips with a diameter of 9 mm (Knittel®) in order to analyse the biofilm production after 24 h. Samples were fixed in for 30 min with 2.5% glutaraldehyde in 0.1 M sodium cacodylate buffer and then post-fixed with for 15 min in 1% osmium tetroxide. Samples were dehydrated in series of ethanol concentrations (15%, 30%, 50%, 70%, 90% and 100%), critical point‐dried in CO2 and assembled on specimen stubs. Stubs were sputtered with a thin layer of gold using a Balzer’s apparatus and examined in a Quanta 250 scanning electron microscope (FEI Company), at Centro Nacional de Biologia Estrutural e Bioimagem (CENABIO) at UFRJ.\n\nImmunostaining for transmission electron microscopy - Cells were grown in BHI-PRAS broth with 0.5% of glucose for 18 h before being washed twice with 1 mL of 0.1 M PBS and centrifuged for 5 min at 3000× g. Samples were adjusted to the McFarland standard tube 6 (~1.8 x 109 CFU/mL) and bacterial cells were fixed in a solution containing 2% formaldehyde in 0.1 M PBS for 30 min at RT. After 30 min on formvar carbon-coated copper grids, the samples were blocked with 3% BSA in PBS for 30 min. Then, the grids were incubated with 20 µg/mL LMN-1 (Sigma-Aldrich) in Tris-HCl for 60 min at RT and washed with PBS twice and then incubated with a primary antibody mouse anti-laminin IgG (1:500; Sigma-Aldrich) in 1% BSA in PBS, for 60 min. After two PBS washes, the grids were incubated for 60 min with a secondary antibody anti-mouse IgG conjugated to colloidal gold particles (1:50; Au 10 nm - TED PELLA, INC.). The cells were washed twice with 3% BSA, once in 1% BSA, and once with in PBS. After 5 min of fixation in 1% glutaraldehyde in PBS, the grids stained for 30 min with 5% uranyl acetate. The investigation was carried out with a Zeiss 900 transmission electron microscope.\n\nWhole proteins extract - To obtain protein extracts of C. difficile RT012, an inoculum from 18 h growth was made in 4 mL of BHI-PRAS broth containing 0.5% glucose, for 24 h at 37ºC in anaerobiosis. Subsequently, the growth broth of RT012 of C. difficile was centrifuged at 2700x g for 15 min at RT, the supernatant was discarded and the sediment washed 1x with sterile PBS (0.1M; pH 7.2) and, centrifuged again under the same conditions. The material was mixed with 10 mL of ice-cold acetone (analytical grade), allowed to stand on ice for 5 min and then centrifuged at 7000x g. The SpeedVac (Savant™ SPD131DDA SpeedVac™ Concentrator; Thermo Scientific) was used to remove residual acetone, and proteins were obtained by dissolving the dry extract with 0.2 mL of 1% sodium dodecyl sulfate (SDS) (Bio-Rad).\n30\n The protein extracts were kept at -20ºC, until the moment of use. Protein quantifications were determined using the Qubit Protein assay kit (Life Technologies) according to the manufacturer’s instructions.\n\nAffinity chromatography column - The affinity column was prepared by mixing 0.5 mL of Affi-gel®10 (Bio-Rad) with a solution of 1 mg/mL LMN-1 in 0.1 M PBS, pH 7.2. After 24 h incubation at 4ºC, 50 mM ethanolamine pH 7.8 was added to the column and incubated for 1 h. The column was washed twice with 0.1 M PBS, pH 7.2, followed by 2 M NaCl at pH 7.0. Proteins were passed through the column three times. To remove any unbound proteins, the column was then washed with 0.1 M PBS. Proteins were then eluted from the column with NaCl at concentrations of 0.25, 0.5, 1.0 and 2.0 M. After that, the eluted proteins were collected and desalted using a Centricon (Amicons® - Sigma-Aldrich).\n31\n\n\n\nProtein identification by mass spectrometry - The eluted proteins were analysed by sodium dodecyl sulphate-polyacrylamide gel electrophoresis (SDS-PAGE) method (1D gel) and slices of gel containing these proteins were placed in 1.5 mL sterile tubes. Then, all steps were performed in a laminar flow, and all solutions were prepared using HPLC water (TEDIA®). Two hundred microliters of Ammonium Bicarbonate (AMBIC - 25 mM ammonium bicarbonate buffer, pH 8.0 with 1 mM calcium carbonate) in 50% acetonitrile (ACN) (TEDIA®) were added to the tubes and incubated for 15 min at RT. This process was repeated three times. Thereafter, the gel slices were washed with ACN for 5 min before drying in SpeedVac (Savant™ SPD131DDA SpeedVac™ Concentrator; Thermo Scientific) for 30 min. After drying, 30 µL of 10 mM dithiothreitol (DTT) solution (Sigma-Aldrich) in 25 mM AMBIC was added and the tubes were incubated at 56ºC for 1 h. After removing the DTT solution, 30 µL of 55 mM iodoacetamide (Sigma-Aldrich) in AMBIC (fresh prepared) were added to the tubes and incubated at RT for 45 min in the dark. The iodoacetamide solution was discarded, and the gel slices were washed twice with 400 µL of 25 mM AMBIC for 10 min. And, afterwards, the gel pieces were soaked in 200 µL ACN for 5 min before drying in a SpeedVac for 30 min.\n32\n After that, the gel slices were enzymatic digested by rehydrating them with 13 µL of the trypsin solution (20 µg/mL in AMBIC) per gel band, followed by an overnight incubation at 37ºC.\n33\n Following this, 30 µL of a solution containing 5% formic acid and 50% ACN was added and incubated for 1 h at RT. This solution was transferred to new tubes, and the procedure was repeated two times. Subsequently, the samples were dried in a SpeedVac and pellets were suspended in 10 µL of 0.1% formic acid. The tubes were sealed and kept at -80ºC to be analysed in a Nano-HPLC-MS/MS (Orbitrap) mass spectrometer at proteomics platform of Fundação Oswaldo Cruz - Fiocruz.\n\nBioinformatics analysis - The peptides analysed in the mass spectrometer generated mass spectra in tandem, which were analysed by Peaks program (Bioinformatics Solutions Inc.), using the NCBInr database. Thereafter, the identified proteins were analysed in PsortB program v. 3.0 to predict the subcellular location of identified proteins,\n34\n BLAST tool (Basic Local Alignment Search Tool) for genetic identity comparisons (https://blast.ncbi.nlm.nih.gov/Blast.cgi), SignalP for prediction of the presence and location of signal peptide and (UniProtKB) was used for molecular, cellular and biological function of proteins.\n35\n\n\n\nStatistics analysis - The statistical analysis was performed using the GraphPad Prism® software (Version 5.01, GraphPad Software, La Jolla, CA, USA). The Student’s t-test (unpaired) was used for comparisons. The statistically significant differences were indicated using p-value.", "\nBinding of C. difficile strains to LMN-1 - After 24 h of growth, fluorescence microscopy was used to assess the adherence of C. difficile ribotypes (RT012, RT027, RT135, RT014 and RT133) to LMN-1. First, all ribotypes were grown without glucose and adhesion assay to LMN-1 was performed. However, none of the ribotypes showed any signs of adherence. Regardless, after cultivating them in the presence of glucose at three different concentrations (0.2%, 0.5% and 1%), RT135, RT012 and RT027 were able to attach to LMN-1 (Fig. 1). Ribotypes 014 and 133 did not adhere to LMN-1 (data not shown) at any of the glucose concentrations tested. To quantify their adherence to LMN-1, all ribotypes were grown with three different concentrations of glucose, 0.2%, 0.5% and 1%. C. difficile ribotypes RT012 and RT027 adhered to LMN-1 more strongly than RT135 (Fig. 2).\n\nFig. 1:adherence test of Clostridioides difficile ribotypes (24 h growth) to laminin-1 by fluorescence microscopy using different concentrations of glucose (0.2%, 0.5% and 1%) and live/dead staining. Green spots represent active, membrane-intact bacteria. A, B, C and D correspond to the adherence assay of RT012 (CD630 strain); E, F, G and H the adherence assay of RT027 (BI/NAP1) and I, J, K and L the assay of RT135 (SJ1 strain). WG: without supplementation of glucose.\n\n\nFig. 2:quantitative adhesion assay of Clostridioides difficile ribotypes (24 h growth) to laminin-1 at different glucose concentrations (0.2%, 0.5% and 1%). All tests were performed in triplicate and the bars of the standard deviation corresponded to the mean of the three technical replicates. Results were considered significant when p < 0.05 (Student’s t unpaired test). Bovine serum albumin (BSA) 2% was used as a negative control (C-).\n\n\nQuantifying the binding of C. difficile strains to LMN-1 - After determining the optimal glucose concentration for maximum C. difficile adhesion to LMN-1, an adhesion assay was performed to evaluate influence of the incubation period (Fig. 3). Ribotypes 012 and 027 were chosen for their high adherence to LMN-1. Incubation period had no effect (p = 0.1535) on RT012 strain adhesion capacity (Fig. 3). RT027, on the other hand, showed increased adherence (p = 0.0055) only after 48 and 72 h of culture (Fig. 3).\nThe molecular nature of the bacterial surface molecule involved in C. difficile binding to LMN-1 was investigated. The proteinase K treatment prior to the adhesion assay resulted in a significant reduction in the bacteria’s binding rates, as shown in Fig. 4. When the samples were treated with trypsin and sodium metaperiodate (MPS) the binding rates to LMN-1 increased. When compared to the untreated sample, treatments with proteinase K (p = 0.0061), trypsin (p = 0.0190) and MPS (p = 0.0001) affected binding (Fig. 5). When cells were first treated with proteinase K and then with MPS, adhesion to LMN-1 reduced compared to treatment with MPS alone (p = 0.0001). There was no increase in LMN-1 adhesion when only proteinase K was used.\n\nFig. 3:adhesion test of ribotype RT012 (CD630) and RT027 of Clostridioides difficile strains to laminin-1 with 0.5% glucose and at different growth times (24 h, 48 h and 72 h). Bovine serum albumin (BSA) 2% was used as negative control (C-), without LMN-1. Results were considered significant when p < 0.05.\n\n\nFig. 4:inhibition assay ribotype 012 (CD630) of Clostridioides difficile strains after chemical and enzymatic treatments. A - Proteinase K (15 µg/mL); B - Trypsin (20 µg/mL); C - sodium periodate (MPS; 100 mM); D - Bacteria without treatment; E - proteinase K (15 µg/mL) follow by MPS (100 mM); F - Negative control Bovine serum albumin (BSA) 2%, without LMN-1. All experiments were performed in triplicate. Magnification: 1000x.\n\n\nFig. 5:quantification of the adhesion assay of Clostridioides difficile RT012 (CD630) against laminin-1 after chemical and enzymatic treatment. As negative control (C-) Bovine serum albumin (BSA - 2%) inoculated with strain CD630, without laminin, was used. The bars represent the standard deviations (*) of the means of two technical and two biological experiments. MPS: sodium metaperiodate. The results were considered significant when p < 0.05.\n\n\nFig. 6:scanning electron microscopy (SEM) showing Clostridioides difficile RT012 (CD630) on glass coverslips at 24 h with 0.5% glucose. A - micrograph showing an extracellular fibrous-biofilm matrix (star) produced by C. difficile; B - micrograph showing C. difficile aggregation by the biofilm; C - Detail of the biofilm produced by C. difficile connecting the cell to the glass support (*). Scale bars: A - 20 μm; B - 10 μm; C - 2 μm.\n\n\nFig. 7:immunoelectron microscopy of RT012 (CD630) from Clostridioides difficile. Cells with 24 h growth with 0.5% of glucose were incubated with laminin-1. Micrographs A and B show C. difficile cells incubated with LMN-1, treated with the anti-LMN-1 antibody and anti-IgG conjugated to colloidal gold beads. Arrows indicate recognition on the surface of bacterial cells. Scale bar: 2 μm.\n\n\nMatrix polymer production - SEM was used to examine growth on glass coverslips for C. difficile RT012 (Fig. 6). An extracellular fibrous-biofilm matrix was observed after 24 h of culture (Fig. 6A). C. difficile attachment to the glass coverslips was facilitated by the matrix (Fig. 6C). Furthermore, the intertwining biofilm appeared to aid bacterial aggregation (Fig. 6B).\n\nImmunoelectron microscopy of the interaction C. difficile Ribotype 012 and LMN-1 - An immunolabeling assay with colloidal gold particles was used to confirm the interaction C. difficile adhesin and LMN-1. Fig. 7 depicts positive labeling on the bacterial surface following interaction with LMN-1. The labeling was slight and visible in some cells. This finding suggests that this adhesin is present and exposed on the surface of C. difficile.\n\nProtein identification by mass spectrometry - The total protein extract was passed through an affinity chromatography column, and the elute applied to an SDS-PAGE to identify the protein(s) responsible for the recognition of LMN-1 by the RT012 C. difficile. Mass spectrometry was used to analyse all proteins present in the gel, and 14 proteins were identified (Supplementary data - Table). All proteins recognised were evaluated in the PsortB program to predict the cell localisation, revealing that four proteins (WP_021421450.1, WP_022618559.1, WP_021380039.1 and WP_021367719.1) were in the membrane. When UniProtKB database and SignalP were used to analyse the biological function of proteins, only one protein was identified with an adhesion function, a signal peptide (99% of chance - SEC/SPI secretion system) and with an extramembranous portion, the S-layer protein, SlpA (Accession numbers: WP_022618559.1).", "Colonisation requires adhesion to host tissue cells, which is the first critical stage in most bacterial infections.\n36\n MSCRAMMs are bacterial adhesins that can recognise ECM (proteoglycans, glycoproteins and fibrous proteins) on the cell host and can help them colonise and spread.\n13\n\n,\n\n37\n Laminin is the main component of the ECM and inflammatory processes and epithelial damages can expose patches of laminin or make it thicker in the basal lamina, providing a constant and ubiquitous availability of ligands for bacterial laminin surface receptors.\n38\n\n,\n\n39\n\n\nThe ability of multiple C. difficile ribotypes to interact with LMN-1 was investigated, in this study, including the autochthonous (exclusive) Brazilian strains RT133 and RT135. The adhesion test was initially performed using a BHI-PRAS broth culture medium, but no adhesion was observed. Kreutz and Jürgens\n36\n tested the ability of 70 Clostridium spp. strains, including C. difficile (n = 24), to identify fibronectin and laminin. The bacteria were cultured in Rosenow broth, and the experiment used latex particles coated with ECM components. Rosenow broth composition is like that of BHI broth that contains 0.2% glucose. Only three of the 24 C. difficile strains studied were found to identify LMN-1 weakly, and incubating laminin-coated latex beads with antibody anti-LMN greatly reduced the ability of C. difficile to recognise LMN-1. When the authors used the Schaedler agar and decided to repeat the agglutination assay with LMN-1 and C. difficile, they observed an increase in the recognition for seven out of 24 strains, of which five were weakly adherent and two substantially adherent.\n36\n In conclusion, Schaedler agar increased all strains’ binding to fibronectin and LMN, and the adhesion of C. difficile to LMN was stronger. According to the authors, the media may have also increased the formation of C. difficile adhesins that recognise LMN. Like BHI, Schaedler agar is used to cultivate a variety of anaerobic bacteria species; however, it contains 5.8 g/L glucose. Based on this, all C. difficile ribotypes were tested for adherence to LMN-1 again by cultivating in BHI-PRAS varying amounts of glucose (0.2%, 0.5% and 1%). Thus, in the presence of 0.2% glucose, binding to LMN-1 by ribotypes 027, 012 and 135 was observed within 24 h. Nonetheless, when 0.5% glucose was added to the medium, RT012 and RT027 adhesion increased significantly, but not for RT135. Furthermore, when 1% glucose was added, only for RT027 and RT135 showed a substantial decrease. As a result, when bacteria from ribotypes 012 and 027 were incubated with 0.5% glucose, they had the highest adhesion capacity. In addition, a growth curve for RT012 was performed in the absence and presence different glucose concentrations supplementation. When there was no glucose in the culture medium, the C. difficile growth curve reached the death stage earlier than the other growth curves that had the glucose supplementation (data not shown). Then, using 0.5% glucose, different growth times (24 h, 48 h and 72 h) were examined, and RT027 was found to increase over time. However, the increase of glucose concentration or growing time had no effect on RT012 adhesion.\n\nClostridioides difficile has been shown to be able to metabolise a wide range of carbohydrates, including fructose, sucrose and glucose.\n40\n Glucose is the most abundant energy source for cell biosynthesis and some metabolic processes. This monosaccharide can stimulate the survival and propagation of various pathogenic bacteria in low nutrient environments.\n41\n\n,\n\n42\n It has been previously demonstrated that adhesin expression can be influenced by a variety of environmental conditions, and that it is more prevalent when specific nutrients, such as glucose, are present. This emphasises the importance of an energy source in the adhesion process, as Antunes et al.\n43\n reported that approximately 18% of all C. difficile genes, with catabolite control protein A (CcpA) regulating 50% of these genes.\n43\n The genes regulated a variety of activities, including the utilisation of specific carbon sources, distinct fermentation pathways, amino acid metabolism and toxin production in response to glucose availability. When C. difficile grown in the presence of 0.5% glucose, it has been shown to use several carbohydrates that may be important during the pathogenesis by promoting survival and growth in the intestine.\n43\n The authors also demonstrated that the presence of fast carbohydrate metabolisation, such as glucose, suppressed transcription of tcdA and tcdB.\n43\n Following that, simple dietary sugars (glucose or fructose) were shown to improve host colonisation and spore-mediated C. difficile transmission.\n44\n In contrast, Rungrassamee et al.\n45\n demonstrated in Escherichia coli that oxidative stress induces glucose transport in a glucose phosphotransferase system (ptsG)-dependent manner. The gene was involved in the early stages of glucose metabolism. As a result, the fact that RT027 is an epidemic strain, it is a high toxin and spores producer, and has a higher adherence after 48 h suggests that oxidative stress may be involved in this process.\n\nClostridioides difficile is heterotrophic, saccharolytic, proteolytic bacterium with multiple on amino acids and sugar-based energy production pathways.\n40\n\n,\n\n46\n According to Theriot and Young, metabolomic studies in the gastrointestinal tract detected many of the nutrients that support C. difficile growth and toxin production, such as bile acids, carbohydrates and amino acids.\n40\n Thus, during dysbiosis, there is a shift in the predominant members of the gut microbiota, which may alter bacterial metabolism in the gut and allow C. difficile colonisation.\n40\n Furthermore, despite the fact that only a few studies have been conducted, it has been reported that C. difficile is capable of utilising carbon sources such as succinate or simple sugars like glucose and fructose for optimal growth in the gastrointestinal tract.\n47\n\n,\n\n48\n Other studies have discovered adhesins on the surface C. difficile that are synthesised in the absence of glucose in the medium.\n19\n\n,\n\n21\n\n,\n\n49\n Biofilm may have played a role in this recognition because the adhesion occurred only in the presence of glucose. Even though the SEM images revealed an immature polymer matrix rather than a mature biofilm, it implies that, while glucose influences RT012 adherence to LMN-1, the biofilm appears to be uninvolved in this recognition. It is worth noting that biofilm assays for C. difficile strains are typically performed with BHI-PRAS containing 1.8% glucose and are evaluated after 72 h.\n29\n\n,\n\n50\n Given that the assay was performed in same media, but with 0.5% glucose, and there was insufficient time for the biofilm to form after 24 h, it appears that another surface adhesin is involved in the LMN-1 recognition.\nThe ability of pathogens to recognise the ECM have been studied in several bacterial species.\n14\n\n,\n\n51\n Pathogenicity of Staphylococcus spp., which can cause a variety of life-threatening infections, is dependent on direct binding to ECM and/or host cells. There are at least 20 adhesins involved in Staphylococcal mechanisms of adherence to and internalisation into host cells regarding of MSCRAMMs.\n52\n For the genus Yersinia adherence to laminin may contribute to tissue invasion and blood dissemination.\n53\n\nYersinia enterocolitica and Y. pseudotuberculosis, both enteropathogenic bacteria, can cause several diseases, including intestinal and extraintestinal disorders. Several pathways for adhesion to eukaryotic cell membranes have previously been identified, including YadA, an outer membrane protein, YadA that mediates specific attachment of Y. enterocolitica and Y. pseudotuberculosis to laminin, collagen, and fibronectin. YadA inhibits serum complement activation, which is required for virulence.\n54\n\nBacillus anthracis, the anthrax etiological agent, has also been found to express BslA, an S-layer protein involved in mammalian infection. By recognising LMN, BslA increases the vegetative form of the bacteria’s attachment to host cells. The interaction allows infection in organs and penetration through the blood-brain barrier in vivo.\n55\n\n\nTo assess C. difficile adhesion to LMN-1 and to perform additional analysis the RT012\n19\n\n,\n\n21\n\n,\n\n49\n was chosen. Proteinase K, sodium periodate, and trypsin were used to try to identify the chemical nature of the adhesin that recognises LMN-1 in RT012 cells. Proteinase K treatment reduced RT012 adhesion to LMN-1, whereas trypsin increased adhesion. This could be due to peptides cleavage at various adhesion-promoting sites. Trypsin cleaves peptides at the C-terminal side of lysine and arginine residues, whereas proteinase K preferentially cleaves peptide bonds adjacent to the carboxyl group of aliphatic and aromatic amino acids. Furthermore, when the lysine and arginine residues are adjacent to the amino acids in sequence to the peptides on the C-terminal side of the lysine and arginine residues, the cleavage rate is slower. As a result, perhaps the trypsin test should be performed longer than 1 h to see if the same effect as seen with proteinase K could be observed. Regardless, the C. difficile adhesin is most likely to be protein, as reduced adhesion to LMN-1 with proteinase K was observed. In contrast, sodium periodate increased RT012 adhesion to LMN-1. When cells were treated with proteinase K first, then with MPS, the adhesion to LMN-1 was drastically reduced compared to the 100 mM MPS treatment and equaled that of untreated cells. Because MPS acts by oxidising hydroxyl groups on adjacent carbon atoms in sugar moieties, the structure of glycoproteins is disrupted, releasing sugar residues that can form a cross link between LMN-1 and a cell.\n56\n\n,\n\n57\n\n,\n\n58\n Our findings suggest that the adhesin that recognises LMN-1 is most likely a glycoprotein.\nBecause most C. difficile adhesins have been described as being on the bacterial surface,\n59\n immunoelectron microscopy was used to determine whether the cellular localisation of the adhesin responsible for recognition LMN-1 was correct. Despite the weak labeling of the protein, the molecule was still found on the surface and present in the majority visualised cells, indicating that the protein is poorly exposed. This finding is explained by Robinson et al.\n60\n explain this finding by demonstrating that the size of colloidal gold particles can influence the immunostaining efficiency or make them difficult to detect using electron microscopy. TEM, on the other hand, confirmed that the adhesin is stochastically located on the bacterial surface. Adhesion is a complex process and the ability of microorganisms ability to express a wide range of adhesins on their surface may explain the adaptability of both microbiota and opportunistic pathogens.\n10\n Despite the fact that the exposure of this adhesin on the surface of C. difficile appeared to be low, our experiments show that the molecule is constantly induced and can be expressed under a certain environmental conditions. As a result, different cultivation times, temperatures, and pH variations in the culture medium should be studied.\nFollowing that, 14 proteins from the total extract were identified using mass spectrometry, but only one of them, SlpA, had an adhesion function and was located on the cell surface. This protein is found in C. difficile S-layer (SLPs). SLPs are cell wall-anchored proteins that highly glycosylated in some organisms.\n61\n SlpA is abundantly present on the cell surface of C. difficile and accounting for 15% of the cell’s total protein.\n62\n\n,\n\n63\n SlpA is synthetised as a preprotein, which is then secreted and cleaved into the LMW and HMW subunits of SLP by Cwp84. SLPs have already been described in C. difficile as providing structural integrity to the cells, acting as molecular sieves, binding to host tissues and extracellular matrix proteins.\n64\n\n,\n\n65\n Both SLP subunits have been shown to be capable of adhering in vitro to human gastrointestinal tissue and intestinal epithelial cells.\n65\n\n,\n\n66\n Thus, SlpA plays an important role in C. difficile infection, and it may be an appealing target for intervening in the intestinal colonisation process by this pathogen.\n66\n\n\nDespite the intriguing data obtained in this study, additional in vitro analyses are required to demonstrate that SlpA interacts with LMN-1. Nonetheless, this is the first study to identify and characterise an adhesin in C. difficile capable of recognising this component of the extracellular matrix, LMN-1. Future strategies will center on identifying the binding molecule, which may help us understand C. difficile colonisation in the colon. It may also lead to the identification of potential protein targets as well as the understanding of C. difficile colonisation and inflammation." ]
[ "materials|methods", "results", "discussion" ]
[ "Clostridioides difficile", "adhesion", "laminin-1", "virulence" ]
MATERIALS AND METHODS: Bacterial strains and culture conditions - All C. difficile isolates used in this study are from the Anaerobe Biology Laboratory’s Culture Collection (Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Brazil - UFRJ) (Table). Ribotypes 135 (SJ1 strain) and RT133 (HU09 strain) have been isolated from CDI patients in Brazil. The epidemic strains RT027 (R20291 strain; CDC ANA #2004016) and RT014 (1598) were included for comparison, as was the RT012 (CD630) strain. All strains were grown overnight at 37ºC in Brain Heart Infusion Broth - Pre- Reduced Anaerobic Sterilised (BHI-PRAS - 0.4 g/L cysteine, 10 µg/mL hemin (5.0 µg/mL), 4 mL/L resazurin and 10 µg/mL menadione; Oxoid®), in an anaerobic (80% nitrogen, 10% hydrogen, 10% carbon dioxide) cabinet (Coy Laboratory Products, INC.). In the formula of the BHI contains 2g/L of glucose (0.2%). TABLE Clostridioides difficile strains used in this studyStrainsRibotypesToxigenic profile b Clinical conditionsReferencesSJ1135 a tcdA + /tcdB + /CDT- SH, DM, hemorrhagic EVA 23 HU09133 a tcdA + /tcdB + /CDT- Crohn’s disease 24 1598014 tcdA + /tcdB + /CDT- HIV+ 25 BI/NAP1 c 027 tcdA + /tcdB + /CDT+ - 26 630012 tcdA + /tcdB + /CDT- Pseudomembranous colitis 27 a: ribotypes of C. difficile exclusive from Brazil; b: polymerase chain reaction (PCR) was used to the detection of the toxin genes; c: BI/NAP1/027 strain (ANA #2004016) was kindly provided by Dr Angela Thompson from the CDC, Atlanta, USA; tcdA+ and tcdB+ (positive for the presence of toxins TcdA and TcdB); CDT: (+) positive or (-) negative for the presence of binary toxin genes; SH: system hypertension; DM: diabetes mellitus; EVA: haemorrhagic encephalic vascular accident; HIV+: positive for the human immunodeficiency virus. a: ribotypes of C. difficile exclusive from Brazil; b: polymerase chain reaction (PCR) was used to the detection of the toxin genes; c: BI/NAP1/027 strain (ANA #2004016) was kindly provided by Dr Angela Thompson from the CDC, Atlanta, USA; tcdA+ and tcdB+ (positive for the presence of toxins TcdA and TcdB); CDT: (+) positive or (-) negative for the presence of binary toxin genes; SH: system hypertension; DM: diabetes mellitus; EVA: haemorrhagic encephalic vascular accident; HIV+: positive for the human immunodeficiency virus. Laminin-1 adhesion assay - Laminin-1 obtained from Engelbreth-Holm-Swarm mouse tumor EHS (LMN-1; Invitrogen), was immobilised on glass coverslips that had previously been placed into 24-well culture plates. 10 To prepare the plates, 20 μg/mL of LMN-1 was suspended in 10 mM Tris-HCl, pH 6.6 and coated with glass coverslips for 18 h at room temperature (RT). To avoid non-specific association, coverslips were washed gently with 1x phosphate-buffered saline (PBS) containing 0.1% bovine serum albumin (BSA) (w/v), and then blocked with 1% BSA for 1h at RT. Before the bacterial inoculum, a final wash with 1x PBS containing 0.01% Tween 20 was performed. All steps of the adhesion assay were carried out under anaerobic conditions. C. difficile strains were grown in BHI-PRAS overnight at 37ºC. All samples were adjusted to an OD600 of 0.4 (approximately 108 CFU/mL) in an anaerobic buffer containing 1% BSA and 0.01% Tween 20 (0.1 g/L of magnesium sulfate; 0.2 g/L monobasic potassium phosphate; 3 g/L sodium chloride; 1.15 g/L dibasic sodium phosphate; 0.2 g/L of potassium chloride; 1 g/L sodium thioglycolate; 2 mL/L resazurin and 0.5 g/L cysteine). For the experiment, 300 μL of the sample were added to each well of the 24-well culture plates containing the LMN-1 coated coverslips and incubated for 1 h at 37ºC. 28 After that, a final wash with 1x PBS containing 0.01% Tween 20 was performed, followed by 30 min for sample fixation with 3.7% formaldehyde. A second experiment was carried out under the same conditions, but with the bacterial strains grown in BHI-PRAS with an additional of 0.2%, 0.5%, or 1% glucose (Sigma-Aldrich) for 24 h, 48 h and 72 h to assess the effect of glucose on bacterial growth and adhesion to LMN-1. For the negative control, coverslips were incubated only with C. difficile strains and 2% of BSA (without LMN-1). All coverslips were washed twice with distillated water before being incubated with 250 μL of Live/Dead® BacLight™ Bacterial Viability Kit (Life Technologies) staining solution (3 µL of the dye mixture for each mL de distillated water). The plate was slowly agitated in the dark for 15 min under slow agitation. A fluorescence microscope (Carl Zeiss, Inc.) was used to capture the images. 28 Bacterial adhesion was measured by counting an average of 20 random fields with the ImageJ software (Version 1.6.0_24) after. The assay was carried out in triplicate. Chemical treatments - Clostridioides difficile RT012 was subjected to two different treatments in order to characterise the chemical nature of the molecule responsible for the adhesion, such as: incubation with proteinase K, a serine protease that hydrolyses a variety of peptide bonds (15 μg/mL), and with trypsin, which cleaves peptides at the C-terminal side of lysine and arginine amino acid residues (20 μg/mL). Both proteases were diluted in 0.1 M PBS pH 7.4 and incubated at 37ºC for 1 h. Alternatively, cells were also incubated for 1 h at 37ºC with 100 mM sodium periodate (glycoprotein oxidation) diluted in 0.05 M sodium acetate buffer pH 5.0. 10 The bacterial inoculum was prepared using the same method as the LMN-1 adhesion assay. Scanning electron microscopy (SEM) - SEM analysis was used to characterise the C. difficile matrix structure, as described in Pantaléon, 29 with modifications. In brief, C. difficile strains were grown, according to the bacterial strains and culture conditions item, onto coverslips with a diameter of 9 mm (Knittel®) in order to analyse the biofilm production after 24 h. Samples were fixed in for 30 min with 2.5% glutaraldehyde in 0.1 M sodium cacodylate buffer and then post-fixed with for 15 min in 1% osmium tetroxide. Samples were dehydrated in series of ethanol concentrations (15%, 30%, 50%, 70%, 90% and 100%), critical point‐dried in CO2 and assembled on specimen stubs. Stubs were sputtered with a thin layer of gold using a Balzer’s apparatus and examined in a Quanta 250 scanning electron microscope (FEI Company), at Centro Nacional de Biologia Estrutural e Bioimagem (CENABIO) at UFRJ. Immunostaining for transmission electron microscopy - Cells were grown in BHI-PRAS broth with 0.5% of glucose for 18 h before being washed twice with 1 mL of 0.1 M PBS and centrifuged for 5 min at 3000× g. Samples were adjusted to the McFarland standard tube 6 (~1.8 x 109 CFU/mL) and bacterial cells were fixed in a solution containing 2% formaldehyde in 0.1 M PBS for 30 min at RT. After 30 min on formvar carbon-coated copper grids, the samples were blocked with 3% BSA in PBS for 30 min. Then, the grids were incubated with 20 µg/mL LMN-1 (Sigma-Aldrich) in Tris-HCl for 60 min at RT and washed with PBS twice and then incubated with a primary antibody mouse anti-laminin IgG (1:500; Sigma-Aldrich) in 1% BSA in PBS, for 60 min. After two PBS washes, the grids were incubated for 60 min with a secondary antibody anti-mouse IgG conjugated to colloidal gold particles (1:50; Au 10 nm - TED PELLA, INC.). The cells were washed twice with 3% BSA, once in 1% BSA, and once with in PBS. After 5 min of fixation in 1% glutaraldehyde in PBS, the grids stained for 30 min with 5% uranyl acetate. The investigation was carried out with a Zeiss 900 transmission electron microscope. Whole proteins extract - To obtain protein extracts of C. difficile RT012, an inoculum from 18 h growth was made in 4 mL of BHI-PRAS broth containing 0.5% glucose, for 24 h at 37ºC in anaerobiosis. Subsequently, the growth broth of RT012 of C. difficile was centrifuged at 2700x g for 15 min at RT, the supernatant was discarded and the sediment washed 1x with sterile PBS (0.1M; pH 7.2) and, centrifuged again under the same conditions. The material was mixed with 10 mL of ice-cold acetone (analytical grade), allowed to stand on ice for 5 min and then centrifuged at 7000x g. The SpeedVac (Savant™ SPD131DDA SpeedVac™ Concentrator; Thermo Scientific) was used to remove residual acetone, and proteins were obtained by dissolving the dry extract with 0.2 mL of 1% sodium dodecyl sulfate (SDS) (Bio-Rad). 30 The protein extracts were kept at -20ºC, until the moment of use. Protein quantifications were determined using the Qubit Protein assay kit (Life Technologies) according to the manufacturer’s instructions. Affinity chromatography column - The affinity column was prepared by mixing 0.5 mL of Affi-gel®10 (Bio-Rad) with a solution of 1 mg/mL LMN-1 in 0.1 M PBS, pH 7.2. After 24 h incubation at 4ºC, 50 mM ethanolamine pH 7.8 was added to the column and incubated for 1 h. The column was washed twice with 0.1 M PBS, pH 7.2, followed by 2 M NaCl at pH 7.0. Proteins were passed through the column three times. To remove any unbound proteins, the column was then washed with 0.1 M PBS. Proteins were then eluted from the column with NaCl at concentrations of 0.25, 0.5, 1.0 and 2.0 M. After that, the eluted proteins were collected and desalted using a Centricon (Amicons® - Sigma-Aldrich). 31 Protein identification by mass spectrometry - The eluted proteins were analysed by sodium dodecyl sulphate-polyacrylamide gel electrophoresis (SDS-PAGE) method (1D gel) and slices of gel containing these proteins were placed in 1.5 mL sterile tubes. Then, all steps were performed in a laminar flow, and all solutions were prepared using HPLC water (TEDIA®). Two hundred microliters of Ammonium Bicarbonate (AMBIC - 25 mM ammonium bicarbonate buffer, pH 8.0 with 1 mM calcium carbonate) in 50% acetonitrile (ACN) (TEDIA®) were added to the tubes and incubated for 15 min at RT. This process was repeated three times. Thereafter, the gel slices were washed with ACN for 5 min before drying in SpeedVac (Savant™ SPD131DDA SpeedVac™ Concentrator; Thermo Scientific) for 30 min. After drying, 30 µL of 10 mM dithiothreitol (DTT) solution (Sigma-Aldrich) in 25 mM AMBIC was added and the tubes were incubated at 56ºC for 1 h. After removing the DTT solution, 30 µL of 55 mM iodoacetamide (Sigma-Aldrich) in AMBIC (fresh prepared) were added to the tubes and incubated at RT for 45 min in the dark. The iodoacetamide solution was discarded, and the gel slices were washed twice with 400 µL of 25 mM AMBIC for 10 min. And, afterwards, the gel pieces were soaked in 200 µL ACN for 5 min before drying in a SpeedVac for 30 min. 32 After that, the gel slices were enzymatic digested by rehydrating them with 13 µL of the trypsin solution (20 µg/mL in AMBIC) per gel band, followed by an overnight incubation at 37ºC. 33 Following this, 30 µL of a solution containing 5% formic acid and 50% ACN was added and incubated for 1 h at RT. This solution was transferred to new tubes, and the procedure was repeated two times. Subsequently, the samples were dried in a SpeedVac and pellets were suspended in 10 µL of 0.1% formic acid. The tubes were sealed and kept at -80ºC to be analysed in a Nano-HPLC-MS/MS (Orbitrap) mass spectrometer at proteomics platform of Fundação Oswaldo Cruz - Fiocruz. Bioinformatics analysis - The peptides analysed in the mass spectrometer generated mass spectra in tandem, which were analysed by Peaks program (Bioinformatics Solutions Inc.), using the NCBInr database. Thereafter, the identified proteins were analysed in PsortB program v. 3.0 to predict the subcellular location of identified proteins, 34 BLAST tool (Basic Local Alignment Search Tool) for genetic identity comparisons (https://blast.ncbi.nlm.nih.gov/Blast.cgi), SignalP for prediction of the presence and location of signal peptide and (UniProtKB) was used for molecular, cellular and biological function of proteins. 35 Statistics analysis - The statistical analysis was performed using the GraphPad Prism® software (Version 5.01, GraphPad Software, La Jolla, CA, USA). The Student’s t-test (unpaired) was used for comparisons. The statistically significant differences were indicated using p-value. RESULTS: Binding of C. difficile strains to LMN-1 - After 24 h of growth, fluorescence microscopy was used to assess the adherence of C. difficile ribotypes (RT012, RT027, RT135, RT014 and RT133) to LMN-1. First, all ribotypes were grown without glucose and adhesion assay to LMN-1 was performed. However, none of the ribotypes showed any signs of adherence. Regardless, after cultivating them in the presence of glucose at three different concentrations (0.2%, 0.5% and 1%), RT135, RT012 and RT027 were able to attach to LMN-1 (Fig. 1). Ribotypes 014 and 133 did not adhere to LMN-1 (data not shown) at any of the glucose concentrations tested. To quantify their adherence to LMN-1, all ribotypes were grown with three different concentrations of glucose, 0.2%, 0.5% and 1%. C. difficile ribotypes RT012 and RT027 adhered to LMN-1 more strongly than RT135 (Fig. 2). Fig. 1:adherence test of Clostridioides difficile ribotypes (24 h growth) to laminin-1 by fluorescence microscopy using different concentrations of glucose (0.2%, 0.5% and 1%) and live/dead staining. Green spots represent active, membrane-intact bacteria. A, B, C and D correspond to the adherence assay of RT012 (CD630 strain); E, F, G and H the adherence assay of RT027 (BI/NAP1) and I, J, K and L the assay of RT135 (SJ1 strain). WG: without supplementation of glucose. Fig. 2:quantitative adhesion assay of Clostridioides difficile ribotypes (24 h growth) to laminin-1 at different glucose concentrations (0.2%, 0.5% and 1%). All tests were performed in triplicate and the bars of the standard deviation corresponded to the mean of the three technical replicates. Results were considered significant when p < 0.05 (Student’s t unpaired test). Bovine serum albumin (BSA) 2% was used as a negative control (C-). Quantifying the binding of C. difficile strains to LMN-1 - After determining the optimal glucose concentration for maximum C. difficile adhesion to LMN-1, an adhesion assay was performed to evaluate influence of the incubation period (Fig. 3). Ribotypes 012 and 027 were chosen for their high adherence to LMN-1. Incubation period had no effect (p = 0.1535) on RT012 strain adhesion capacity (Fig. 3). RT027, on the other hand, showed increased adherence (p = 0.0055) only after 48 and 72 h of culture (Fig. 3). The molecular nature of the bacterial surface molecule involved in C. difficile binding to LMN-1 was investigated. The proteinase K treatment prior to the adhesion assay resulted in a significant reduction in the bacteria’s binding rates, as shown in Fig. 4. When the samples were treated with trypsin and sodium metaperiodate (MPS) the binding rates to LMN-1 increased. When compared to the untreated sample, treatments with proteinase K (p = 0.0061), trypsin (p = 0.0190) and MPS (p = 0.0001) affected binding (Fig. 5). When cells were first treated with proteinase K and then with MPS, adhesion to LMN-1 reduced compared to treatment with MPS alone (p = 0.0001). There was no increase in LMN-1 adhesion when only proteinase K was used. Fig. 3:adhesion test of ribotype RT012 (CD630) and RT027 of Clostridioides difficile strains to laminin-1 with 0.5% glucose and at different growth times (24 h, 48 h and 72 h). Bovine serum albumin (BSA) 2% was used as negative control (C-), without LMN-1. Results were considered significant when p < 0.05. Fig. 4:inhibition assay ribotype 012 (CD630) of Clostridioides difficile strains after chemical and enzymatic treatments. A - Proteinase K (15 µg/mL); B - Trypsin (20 µg/mL); C - sodium periodate (MPS; 100 mM); D - Bacteria without treatment; E - proteinase K (15 µg/mL) follow by MPS (100 mM); F - Negative control Bovine serum albumin (BSA) 2%, without LMN-1. All experiments were performed in triplicate. Magnification: 1000x. Fig. 5:quantification of the adhesion assay of Clostridioides difficile RT012 (CD630) against laminin-1 after chemical and enzymatic treatment. As negative control (C-) Bovine serum albumin (BSA - 2%) inoculated with strain CD630, without laminin, was used. The bars represent the standard deviations (*) of the means of two technical and two biological experiments. MPS: sodium metaperiodate. The results were considered significant when p < 0.05. Fig. 6:scanning electron microscopy (SEM) showing Clostridioides difficile RT012 (CD630) on glass coverslips at 24 h with 0.5% glucose. A - micrograph showing an extracellular fibrous-biofilm matrix (star) produced by C. difficile; B - micrograph showing C. difficile aggregation by the biofilm; C - Detail of the biofilm produced by C. difficile connecting the cell to the glass support (*). Scale bars: A - 20 μm; B - 10 μm; C - 2 μm. Fig. 7:immunoelectron microscopy of RT012 (CD630) from Clostridioides difficile. Cells with 24 h growth with 0.5% of glucose were incubated with laminin-1. Micrographs A and B show C. difficile cells incubated with LMN-1, treated with the anti-LMN-1 antibody and anti-IgG conjugated to colloidal gold beads. Arrows indicate recognition on the surface of bacterial cells. Scale bar: 2 μm. Matrix polymer production - SEM was used to examine growth on glass coverslips for C. difficile RT012 (Fig. 6). An extracellular fibrous-biofilm matrix was observed after 24 h of culture (Fig. 6A). C. difficile attachment to the glass coverslips was facilitated by the matrix (Fig. 6C). Furthermore, the intertwining biofilm appeared to aid bacterial aggregation (Fig. 6B). Immunoelectron microscopy of the interaction C. difficile Ribotype 012 and LMN-1 - An immunolabeling assay with colloidal gold particles was used to confirm the interaction C. difficile adhesin and LMN-1. Fig. 7 depicts positive labeling on the bacterial surface following interaction with LMN-1. The labeling was slight and visible in some cells. This finding suggests that this adhesin is present and exposed on the surface of C. difficile. Protein identification by mass spectrometry - The total protein extract was passed through an affinity chromatography column, and the elute applied to an SDS-PAGE to identify the protein(s) responsible for the recognition of LMN-1 by the RT012 C. difficile. Mass spectrometry was used to analyse all proteins present in the gel, and 14 proteins were identified (Supplementary data - Table). All proteins recognised were evaluated in the PsortB program to predict the cell localisation, revealing that four proteins (WP_021421450.1, WP_022618559.1, WP_021380039.1 and WP_021367719.1) were in the membrane. When UniProtKB database and SignalP were used to analyse the biological function of proteins, only one protein was identified with an adhesion function, a signal peptide (99% of chance - SEC/SPI secretion system) and with an extramembranous portion, the S-layer protein, SlpA (Accession numbers: WP_022618559.1). DISCUSSION: Colonisation requires adhesion to host tissue cells, which is the first critical stage in most bacterial infections. 36 MSCRAMMs are bacterial adhesins that can recognise ECM (proteoglycans, glycoproteins and fibrous proteins) on the cell host and can help them colonise and spread. 13 , 37 Laminin is the main component of the ECM and inflammatory processes and epithelial damages can expose patches of laminin or make it thicker in the basal lamina, providing a constant and ubiquitous availability of ligands for bacterial laminin surface receptors. 38 , 39 The ability of multiple C. difficile ribotypes to interact with LMN-1 was investigated, in this study, including the autochthonous (exclusive) Brazilian strains RT133 and RT135. The adhesion test was initially performed using a BHI-PRAS broth culture medium, but no adhesion was observed. Kreutz and Jürgens 36 tested the ability of 70 Clostridium spp. strains, including C. difficile (n = 24), to identify fibronectin and laminin. The bacteria were cultured in Rosenow broth, and the experiment used latex particles coated with ECM components. Rosenow broth composition is like that of BHI broth that contains 0.2% glucose. Only three of the 24 C. difficile strains studied were found to identify LMN-1 weakly, and incubating laminin-coated latex beads with antibody anti-LMN greatly reduced the ability of C. difficile to recognise LMN-1. When the authors used the Schaedler agar and decided to repeat the agglutination assay with LMN-1 and C. difficile, they observed an increase in the recognition for seven out of 24 strains, of which five were weakly adherent and two substantially adherent. 36 In conclusion, Schaedler agar increased all strains’ binding to fibronectin and LMN, and the adhesion of C. difficile to LMN was stronger. According to the authors, the media may have also increased the formation of C. difficile adhesins that recognise LMN. Like BHI, Schaedler agar is used to cultivate a variety of anaerobic bacteria species; however, it contains 5.8 g/L glucose. Based on this, all C. difficile ribotypes were tested for adherence to LMN-1 again by cultivating in BHI-PRAS varying amounts of glucose (0.2%, 0.5% and 1%). Thus, in the presence of 0.2% glucose, binding to LMN-1 by ribotypes 027, 012 and 135 was observed within 24 h. Nonetheless, when 0.5% glucose was added to the medium, RT012 and RT027 adhesion increased significantly, but not for RT135. Furthermore, when 1% glucose was added, only for RT027 and RT135 showed a substantial decrease. As a result, when bacteria from ribotypes 012 and 027 were incubated with 0.5% glucose, they had the highest adhesion capacity. In addition, a growth curve for RT012 was performed in the absence and presence different glucose concentrations supplementation. When there was no glucose in the culture medium, the C. difficile growth curve reached the death stage earlier than the other growth curves that had the glucose supplementation (data not shown). Then, using 0.5% glucose, different growth times (24 h, 48 h and 72 h) were examined, and RT027 was found to increase over time. However, the increase of glucose concentration or growing time had no effect on RT012 adhesion. Clostridioides difficile has been shown to be able to metabolise a wide range of carbohydrates, including fructose, sucrose and glucose. 40 Glucose is the most abundant energy source for cell biosynthesis and some metabolic processes. This monosaccharide can stimulate the survival and propagation of various pathogenic bacteria in low nutrient environments. 41 , 42 It has been previously demonstrated that adhesin expression can be influenced by a variety of environmental conditions, and that it is more prevalent when specific nutrients, such as glucose, are present. This emphasises the importance of an energy source in the adhesion process, as Antunes et al. 43 reported that approximately 18% of all C. difficile genes, with catabolite control protein A (CcpA) regulating 50% of these genes. 43 The genes regulated a variety of activities, including the utilisation of specific carbon sources, distinct fermentation pathways, amino acid metabolism and toxin production in response to glucose availability. When C. difficile grown in the presence of 0.5% glucose, it has been shown to use several carbohydrates that may be important during the pathogenesis by promoting survival and growth in the intestine. 43 The authors also demonstrated that the presence of fast carbohydrate metabolisation, such as glucose, suppressed transcription of tcdA and tcdB. 43 Following that, simple dietary sugars (glucose or fructose) were shown to improve host colonisation and spore-mediated C. difficile transmission. 44 In contrast, Rungrassamee et al. 45 demonstrated in Escherichia coli that oxidative stress induces glucose transport in a glucose phosphotransferase system (ptsG)-dependent manner. The gene was involved in the early stages of glucose metabolism. As a result, the fact that RT027 is an epidemic strain, it is a high toxin and spores producer, and has a higher adherence after 48 h suggests that oxidative stress may be involved in this process. Clostridioides difficile is heterotrophic, saccharolytic, proteolytic bacterium with multiple on amino acids and sugar-based energy production pathways. 40 , 46 According to Theriot and Young, metabolomic studies in the gastrointestinal tract detected many of the nutrients that support C. difficile growth and toxin production, such as bile acids, carbohydrates and amino acids. 40 Thus, during dysbiosis, there is a shift in the predominant members of the gut microbiota, which may alter bacterial metabolism in the gut and allow C. difficile colonisation. 40 Furthermore, despite the fact that only a few studies have been conducted, it has been reported that C. difficile is capable of utilising carbon sources such as succinate or simple sugars like glucose and fructose for optimal growth in the gastrointestinal tract. 47 , 48 Other studies have discovered adhesins on the surface C. difficile that are synthesised in the absence of glucose in the medium. 19 , 21 , 49 Biofilm may have played a role in this recognition because the adhesion occurred only in the presence of glucose. Even though the SEM images revealed an immature polymer matrix rather than a mature biofilm, it implies that, while glucose influences RT012 adherence to LMN-1, the biofilm appears to be uninvolved in this recognition. It is worth noting that biofilm assays for C. difficile strains are typically performed with BHI-PRAS containing 1.8% glucose and are evaluated after 72 h. 29 , 50 Given that the assay was performed in same media, but with 0.5% glucose, and there was insufficient time for the biofilm to form after 24 h, it appears that another surface adhesin is involved in the LMN-1 recognition. The ability of pathogens to recognise the ECM have been studied in several bacterial species. 14 , 51 Pathogenicity of Staphylococcus spp., which can cause a variety of life-threatening infections, is dependent on direct binding to ECM and/or host cells. There are at least 20 adhesins involved in Staphylococcal mechanisms of adherence to and internalisation into host cells regarding of MSCRAMMs. 52 For the genus Yersinia adherence to laminin may contribute to tissue invasion and blood dissemination. 53 Yersinia enterocolitica and Y. pseudotuberculosis, both enteropathogenic bacteria, can cause several diseases, including intestinal and extraintestinal disorders. Several pathways for adhesion to eukaryotic cell membranes have previously been identified, including YadA, an outer membrane protein, YadA that mediates specific attachment of Y. enterocolitica and Y. pseudotuberculosis to laminin, collagen, and fibronectin. YadA inhibits serum complement activation, which is required for virulence. 54 Bacillus anthracis, the anthrax etiological agent, has also been found to express BslA, an S-layer protein involved in mammalian infection. By recognising LMN, BslA increases the vegetative form of the bacteria’s attachment to host cells. The interaction allows infection in organs and penetration through the blood-brain barrier in vivo. 55 To assess C. difficile adhesion to LMN-1 and to perform additional analysis the RT012 19 , 21 , 49 was chosen. Proteinase K, sodium periodate, and trypsin were used to try to identify the chemical nature of the adhesin that recognises LMN-1 in RT012 cells. Proteinase K treatment reduced RT012 adhesion to LMN-1, whereas trypsin increased adhesion. This could be due to peptides cleavage at various adhesion-promoting sites. Trypsin cleaves peptides at the C-terminal side of lysine and arginine residues, whereas proteinase K preferentially cleaves peptide bonds adjacent to the carboxyl group of aliphatic and aromatic amino acids. Furthermore, when the lysine and arginine residues are adjacent to the amino acids in sequence to the peptides on the C-terminal side of the lysine and arginine residues, the cleavage rate is slower. As a result, perhaps the trypsin test should be performed longer than 1 h to see if the same effect as seen with proteinase K could be observed. Regardless, the C. difficile adhesin is most likely to be protein, as reduced adhesion to LMN-1 with proteinase K was observed. In contrast, sodium periodate increased RT012 adhesion to LMN-1. When cells were treated with proteinase K first, then with MPS, the adhesion to LMN-1 was drastically reduced compared to the 100 mM MPS treatment and equaled that of untreated cells. Because MPS acts by oxidising hydroxyl groups on adjacent carbon atoms in sugar moieties, the structure of glycoproteins is disrupted, releasing sugar residues that can form a cross link between LMN-1 and a cell. 56 , 57 , 58 Our findings suggest that the adhesin that recognises LMN-1 is most likely a glycoprotein. Because most C. difficile adhesins have been described as being on the bacterial surface, 59 immunoelectron microscopy was used to determine whether the cellular localisation of the adhesin responsible for recognition LMN-1 was correct. Despite the weak labeling of the protein, the molecule was still found on the surface and present in the majority visualised cells, indicating that the protein is poorly exposed. This finding is explained by Robinson et al. 60 explain this finding by demonstrating that the size of colloidal gold particles can influence the immunostaining efficiency or make them difficult to detect using electron microscopy. TEM, on the other hand, confirmed that the adhesin is stochastically located on the bacterial surface. Adhesion is a complex process and the ability of microorganisms ability to express a wide range of adhesins on their surface may explain the adaptability of both microbiota and opportunistic pathogens. 10 Despite the fact that the exposure of this adhesin on the surface of C. difficile appeared to be low, our experiments show that the molecule is constantly induced and can be expressed under a certain environmental conditions. As a result, different cultivation times, temperatures, and pH variations in the culture medium should be studied. Following that, 14 proteins from the total extract were identified using mass spectrometry, but only one of them, SlpA, had an adhesion function and was located on the cell surface. This protein is found in C. difficile S-layer (SLPs). SLPs are cell wall-anchored proteins that highly glycosylated in some organisms. 61 SlpA is abundantly present on the cell surface of C. difficile and accounting for 15% of the cell’s total protein. 62 , 63 SlpA is synthetised as a preprotein, which is then secreted and cleaved into the LMW and HMW subunits of SLP by Cwp84. SLPs have already been described in C. difficile as providing structural integrity to the cells, acting as molecular sieves, binding to host tissues and extracellular matrix proteins. 64 , 65 Both SLP subunits have been shown to be capable of adhering in vitro to human gastrointestinal tissue and intestinal epithelial cells. 65 , 66 Thus, SlpA plays an important role in C. difficile infection, and it may be an appealing target for intervening in the intestinal colonisation process by this pathogen. 66 Despite the intriguing data obtained in this study, additional in vitro analyses are required to demonstrate that SlpA interacts with LMN-1. Nonetheless, this is the first study to identify and characterise an adhesin in C. difficile capable of recognising this component of the extracellular matrix, LMN-1. Future strategies will center on identifying the binding molecule, which may help us understand C. difficile colonisation in the colon. It may also lead to the identification of potential protein targets as well as the understanding of C. difficile colonisation and inflammation.
Background: Clostridioides difficile is the most common cause of nosocomial diarrhea associated with antibiotic use. The disease's symptoms are caused by enterotoxins, but other surface adhesion factors also play a role in the pathogenesis. These adhesins will bind to components of extracellular matrix. Methods: A binding experiment revealed that different ribotypes have distinct adhesion capabilities. To identify this adhesin, an affinity chromatography column containing LMN-1 was prepared and total protein extracts were analysed using mass spectrometry. Results: Strains from ribotypes 012 and 027 had the best adhesion when incubated with glucose supplementations (0.2%, 0.5%, and 1%), while RT135 had a poor adherence. The criteria were not met by RT014 and RT133. In the absence of glucose, there was no adhesion for any ribotype, implying that glucose is required and plays a significant role in adhesion. Conclusions: These findings show that in the presence of glucose, each C. difficile ribotype interacts differently with LMN-1, and the adhesin responsible for recognition could be SlpA protein.
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198
[]
3
[ "difficile", "lmn", "glucose", "adhesion", "rt012", "ml", "min", "24", "bacterial", "proteins" ]
[ "24 difficile strains", "brazilian strains rt133", "difficile strains chemical", "incubated difficile strains", "assays difficile strains" ]
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[CONTENT] Clostridioides difficile | adhesion | laminin-1 | virulence [SUMMARY]
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[CONTENT] Clostridioides difficile | adhesion | laminin-1 | virulence [SUMMARY]
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[CONTENT] Clostridioides | Clostridioides difficile | Extracellular Matrix | Glucose | Laminin | Ribotyping [SUMMARY]
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[CONTENT] Clostridioides | Clostridioides difficile | Extracellular Matrix | Glucose | Laminin | Ribotyping [SUMMARY]
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[CONTENT] 24 difficile strains | brazilian strains rt133 | difficile strains chemical | incubated difficile strains | assays difficile strains [SUMMARY]
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[CONTENT] 24 difficile strains | brazilian strains rt133 | difficile strains chemical | incubated difficile strains | assays difficile strains [SUMMARY]
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[CONTENT] difficile | lmn | glucose | adhesion | rt012 | ml | min | 24 | bacterial | proteins [SUMMARY]
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[CONTENT] difficile | lmn | glucose | adhesion | rt012 | ml | min | 24 | bacterial | proteins [SUMMARY]
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[CONTENT] fig | difficile | lmn | glucose | rt012 | adhesion | adherence | assay | mps | cd630 [SUMMARY]
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[CONTENT] difficile | lmn | glucose | fig | adhesion | min | ml | rt012 | pbs | 24 [SUMMARY]
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[CONTENT] 012 | 027 | 0.2% | 0.5% | 1% | RT135 ||| RT014 | RT133 ||| [SUMMARY]
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[CONTENT] ||| ||| ||| ||| ||| LMN-1 ||| 012 | 027 | 0.2% | 0.5% | 1% | RT135 ||| RT014 | RT133 ||| ||| C. | LMN-1 [SUMMARY]
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Comparison of submillisecond pulse (FRAC3) and long-pulse 1064 nm Nd:YAG laser hair removal.
35593528
Laser hair reduction gained popularity in the last decade and is presently the most frequently used long-term hair removal method. It works on the principle of selective photothermolysis-the laser damages the hair follicle without damaging the skin. Shorter Nd:YAG pulses are also effective in hair reduction, while maintaining better comfort for the patient.
BACKGROUND
This prospective split face, evaluator-blinded comparison of short-pulse Nd:YAG laser versus long-pulse Nd:YAG laser study included 10 untanned healthy women. There were two outcome measers, two blinded dermatologists compared baseline photographs with those taken 3 months after last session and FotoFinder was used to compare the terminal hair count reduction at the baseline and 3 months after 6th session.
PATIENTS/METHODS
Both blinded assesors observed significant hair reduction with both lasers; excellent results were achieved in 20% with long pulse and in 55% with short pulse. Both treatment options showed reduction in number of terminal hair with statistical significance using FotoFinder. Comparison of the efficacy of the two pulse durations measured by percent reduction in the number of terminal hair 3 months after the last session showed no significant difference between the groups.
RESULTS
Hair reduction using 1064 nm Nd:YAG is a safe and effective method of hair reduction especially in darker skin types. We have shown that short pulses are better or at least equally safe and effective as the "gold standard" long pulses.
CONCLUSION
[ "Female", "Hair Removal", "Humans", "Laser Therapy", "Lasers, Solid-State", "Prospective Studies", "Treatment Outcome" ]
9541334
INTRODUCTION
Excess hair growth is a common problem for both genders and is usually very distressing, resulting in negative impacts on psychological aspect and quality of life. 1 Many different hair removal methods that can be used at home, but offer only short‐term results, such as chemical depilation, waxing, shaving, and plucking, are widely used to reduce the number of unwanted hair. Permanent results can be achieved with electrolysis, which is less frequently used due to long and painful sessions with scarring and high associated costs. 2 Laser hair reduction (LHR) gained popularity in the last decade and is presently the most frequently used long‐term hair removal method, due to fewer side effects, lesser time consumption, longer hair free interval, and decreased pain. 3 Various laser wavelengths are presently used for LHR; Alexandrite (755 nm), diode lasers (810 nm), Nd:YAG (1064 nm), and intense pulsed light system (IPL). 3 , 4 Nd:YAG (1064 nm) lasers have the deepest penetration and appear to be safe in skin of color patients with less side effects reported, compared with other wavelengths. 3 , 5 , 6 , 7 , 8 , 9 LHR works on the principle of selective photothermolysis—the laser light is selectively absorbed by melanin, which is abundant in the hair shaft, and damages the hair follicle without damaging the skin. 10 The theory states that the pulse duration should be equal or shorter to the thermal relaxation time (TRT) of the hair shaft in order to be effective in hair follicle destruction. The TRT of the hair shaft is estimated to be between 10 and 100 ms 11 , 12 so, the most commonly used Nd:YAG hair removal pulse duration ranges between 15 and 50 ms with fluences between 25 and 70 J/cm2 using 6–20 mm spot size. 3 , 7 , 13 , 14 , 15 Recent studies showed that shorter Nd:YAG pulses with pulse width of 0.6–3.5 ms are also effective in hair reduction, while maintaining better comfort for the patient. This can be attributed to higher peak power when shorter pulse are used. Therefore, lower fluence can be used while maintaining the efficacy 16 , 17 and having less pain and side effects even without cooling of the treatment area. 18 , 19 On the contrary, the short pulse duration is having a better efficacy when targeting fine hair and that was not possible with longer pulse duration Nd:Yag. The aim of this study was to compare the short‐ and long‐pulsed methods of Nd:YAG for facial hair removal on darker Fitzpatrick skin types (IV–V).
null
null
RESULTS
The mean age of patients was 25.6 years, ranging from 18 to 40 years. Majority (80%) of participants had Fitzpatrick skin type 4 and the remaining two participants had FP 5. All participants completed the planned 6 treatment sessions, which were 45 days apart on average, as well as the follow‐up 3 month after 6th session. There was high variability in baseline values of terminal hair (0–44), according to FotoFinder results. The mean baseline terminal hair count was 15.3 (95% CI 3.34–27.0) on the left side (long pulse) and 9.3 (95% CI 0.0–18.7) on the right side (FRAC3). There was no significant difference (p = 0.384) in terminal hair count between the sides at baseline (Table 1). Average terminal hair count on both sides before and 3 months after last (6th) session Both treatment options showed reduction in number of terminal hair with statistical significance (p < 0.0005) (Table 1). Comparison of the efficacy of the two pulse durations measured by percent reduction in the number of terminal hair 3 months after the last session showed no significant difference (p = 0.990) between the groups. There was no significant difference in pain perception between the two treatments (p = 0.216). Both treatments were graded with a median pain level value of 3 (values ranging from 1 to 4 for the short pulses; and 2 to 4 for the long pulses, respectively). Besides erythema that lasted up to few hours, there was no serious or long‐term side effects reported by the patients on any of the visits and at the 3 month follow‐up. When asked to name the side of the face where they observed better effect and were more satisfied with the results, five women (50%) chose the right side (FRAC3), 4 (40%) chose the left side (long pulse) and one patient could not decide.
CONCLUSION
Hair reduction using 1064 nm Nd:YAG is a safe and effective method of hair reduction especially in darker skin types. We have shown that short pulses are more or at least equally effective and safer as long pulses and that the “gold standard” concept should be rethought. More studies using short pulses should be used in order for this to happen in the future.
[ "INTRODUCTION", "Participants", "Procedure", "AUTHOR CONTRIBUTIONS", "ETHICAL APPROVAL", "ETHICAL APPROVAL" ]
[ "Excess hair growth is a common problem for both genders and is usually very distressing, resulting in negative impacts on psychological aspect and quality of life.\n1\n Many different hair removal methods that can be used at home, but offer only short‐term results, such as chemical depilation, waxing, shaving, and plucking, are widely used to reduce the number of unwanted hair. Permanent results can be achieved with electrolysis, which is less frequently used due to long and painful sessions with scarring and high associated costs.\n2\n Laser hair reduction (LHR) gained popularity in the last decade and is presently the most frequently used long‐term hair removal method, due to fewer side effects, lesser time consumption, longer hair free interval, and decreased pain.\n3\n Various laser wavelengths are presently used for LHR; Alexandrite (755 nm), diode lasers (810 nm), Nd:YAG (1064 nm), and intense pulsed light system (IPL).\n3\n, \n4\n Nd:YAG (1064 nm) lasers have the deepest penetration and appear to be safe in skin of color patients with less side effects reported, compared with other wavelengths.\n3\n, \n5\n, \n6\n, \n7\n, \n8\n, \n9\n LHR works on the principle of selective photothermolysis—the laser light is selectively absorbed by melanin, which is abundant in the hair shaft, and damages the hair follicle without damaging the skin.\n10\n The theory states that the pulse duration should be equal or shorter to the thermal relaxation time (TRT) of the hair shaft in order to be effective in hair follicle destruction. The TRT of the hair shaft is estimated to be between 10 and 100 ms\n11\n, \n12\n so, the most commonly used Nd:YAG hair removal pulse duration ranges between 15 and 50 ms with fluences between 25 and 70 J/cm2 using 6–20 mm spot size.\n3\n, \n7\n, \n13\n, \n14\n, \n15\n Recent studies showed that shorter Nd:YAG pulses with pulse width of 0.6–3.5 ms are also effective in hair reduction, while maintaining better comfort for the patient. This can be attributed to higher peak power when shorter pulse are used. Therefore, lower fluence can be used while maintaining the efficacy\n16\n, \n17\n and having less pain and side effects even without cooling of the treatment area.\n18\n, \n19\n On the contrary, the short pulse duration is having a better efficacy when targeting fine hair and that was not possible with longer pulse duration Nd:Yag. The aim of this study was to compare the short‐ and long‐pulsed methods of Nd:YAG for facial hair removal on darker Fitzpatrick skin types (IV–V).", "This prospective study was conducted in single private dermatology center (Cutis Academy of Cutaneous Sciences, Bangalore, India). It included 10 untanned healthy women. Only women older than 18 years and with brown or black terminal hair were included. Exclusion criteria were intense tan or sunburn, history of scarring, active cutaneous infection or inflammation, diagnosis of PCOS, pregnancy, breastfeeding, use of photosensitive drugs, previous laser or electrolysis treatment and epilation or waxing in the period of 2 months prior to the start of the study.", "This was a prospective, split face, evaluator‐blinded comparison of short‐pulse Nd:YAG laser versus long‐pulse Nd:YAG laser. Two different laser systems have been used for the two pulse modalities; Clarity (Lutronic) for the long‐pulse modality (20–30 ms) was used on the left side of the face; and SP Dynamis (Fotona) for the short‐pulse FRAC3 modality (0.6–1.6 ms) on the right side of the face for all patients. The treatment consisted of a single pass with minimal overlapping and 100% coverage of the area with excessive hair growth. Each participant was photographed using a digital camera (Canon EOS 1100D, Canon Inc.) before they underwent a series of six treatment sessions at 6 week intervals. The parameters used in both systems were within the recommended range by the manufacturer for the patients' skin type. Local anesthesia was not applied, and the area of the treatment was shaved before the start of each laser procedure. Right side of the patients face was treated with FRAC3 pulses (0.6–1.6 ms), 9 mm spot size, fluence 10–25 J/cm2, and frequency 2 Hz. Left side of the patients' face was treated with long pulse durations (20–30 ms) with 10 mm spot size, fluence 24–36 J/cm2, and frequency 1 Hz. A single pass over the treated area was performed. All of the standard safety measures were taken during the laser procedure. Cooling with the CryoMini (Zimmer MedizinSysteme GmbH) was used during the procedure. Patients were asked about any side effects before each of the subsequent sessions and at the last follow‐up, 3 months after the last treatment (Figures 1, 2, 3).\nPatient #1: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side)\nPatient #2: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side)\nPatient #3: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side)\nThe efficacy of the treatment was evaluated using different methods. Two blinded dermatologists compared baseline photographs to those taken 3 months after last session. The reduction in hair thickness and number was scored on a four point grading scale; poor (0%–25% reduction), moderate (26%–50%), significant (51%–75%), and excellent (76%–100%). Objective evaluation was done using FotoFinder (FotoFinder Systems), comparing the terminal hair count reduction at the baseline and 3 months after 6th session. Statistical significance of improvement after each treatment option, compared with baseline, was tested using paired‐samples t‐test; while the independent samples t‐test was used for testing the difference of the effects between the short and long pulse laser hair removal option. Chi‐square test was used for comparison of assessments made by blinded dermatologists (IBM Corp. Released 2020. IBM statistics for Windows, Version 27.0: IBM Corp).\nPatients graded their discomfort level using 10‐point visual analog scale (VAS) for each side. They were also asked to choose the side of the face where they observed better effect and were more satisfied with at the last follow‐up.", "BS.C., C.S., L., and P. J. designed and performed the research study. BS.C., C.S., L., P. J., and A.Z. analyzed the data. A.Z. wrote the paper.", "ETHICAL APPROVAL Laser hair removal is an established state‐of‐the‐art technique. Different lasers are used worldwide. We have used both lasers/modalities in this study for few years but never in an organized “split” study; so, no approval from the local Ethics committee has been sought. All the subjects have been informed about the different modalities used and willingly participated and gave consent to using their data.\nLaser hair removal is an established state‐of‐the‐art technique. Different lasers are used worldwide. We have used both lasers/modalities in this study for few years but never in an organized “split” study; so, no approval from the local Ethics committee has been sought. All the subjects have been informed about the different modalities used and willingly participated and gave consent to using their data.", "Laser hair removal is an established state‐of‐the‐art technique. Different lasers are used worldwide. We have used both lasers/modalities in this study for few years but never in an organized “split” study; so, no approval from the local Ethics committee has been sought. All the subjects have been informed about the different modalities used and willingly participated and gave consent to using their data." ]
[ null, null, null, null, null, null ]
[ "INTRODUCTION", "MATERIALS AND METHODS", "Participants", "Procedure", "RESULTS", "DISCUSSION", "CONCLUSION", "AUTHOR CONTRIBUTIONS", "CONFLICT OF INTEREST", "ETHICAL APPROVAL", "ETHICAL APPROVAL", "DATA AVAILABILITY STATEMENT" ]
[ "Excess hair growth is a common problem for both genders and is usually very distressing, resulting in negative impacts on psychological aspect and quality of life.\n1\n Many different hair removal methods that can be used at home, but offer only short‐term results, such as chemical depilation, waxing, shaving, and plucking, are widely used to reduce the number of unwanted hair. Permanent results can be achieved with electrolysis, which is less frequently used due to long and painful sessions with scarring and high associated costs.\n2\n Laser hair reduction (LHR) gained popularity in the last decade and is presently the most frequently used long‐term hair removal method, due to fewer side effects, lesser time consumption, longer hair free interval, and decreased pain.\n3\n Various laser wavelengths are presently used for LHR; Alexandrite (755 nm), diode lasers (810 nm), Nd:YAG (1064 nm), and intense pulsed light system (IPL).\n3\n, \n4\n Nd:YAG (1064 nm) lasers have the deepest penetration and appear to be safe in skin of color patients with less side effects reported, compared with other wavelengths.\n3\n, \n5\n, \n6\n, \n7\n, \n8\n, \n9\n LHR works on the principle of selective photothermolysis—the laser light is selectively absorbed by melanin, which is abundant in the hair shaft, and damages the hair follicle without damaging the skin.\n10\n The theory states that the pulse duration should be equal or shorter to the thermal relaxation time (TRT) of the hair shaft in order to be effective in hair follicle destruction. The TRT of the hair shaft is estimated to be between 10 and 100 ms\n11\n, \n12\n so, the most commonly used Nd:YAG hair removal pulse duration ranges between 15 and 50 ms with fluences between 25 and 70 J/cm2 using 6–20 mm spot size.\n3\n, \n7\n, \n13\n, \n14\n, \n15\n Recent studies showed that shorter Nd:YAG pulses with pulse width of 0.6–3.5 ms are also effective in hair reduction, while maintaining better comfort for the patient. This can be attributed to higher peak power when shorter pulse are used. Therefore, lower fluence can be used while maintaining the efficacy\n16\n, \n17\n and having less pain and side effects even without cooling of the treatment area.\n18\n, \n19\n On the contrary, the short pulse duration is having a better efficacy when targeting fine hair and that was not possible with longer pulse duration Nd:Yag. The aim of this study was to compare the short‐ and long‐pulsed methods of Nd:YAG for facial hair removal on darker Fitzpatrick skin types (IV–V).", "Participants This prospective study was conducted in single private dermatology center (Cutis Academy of Cutaneous Sciences, Bangalore, India). It included 10 untanned healthy women. Only women older than 18 years and with brown or black terminal hair were included. Exclusion criteria were intense tan or sunburn, history of scarring, active cutaneous infection or inflammation, diagnosis of PCOS, pregnancy, breastfeeding, use of photosensitive drugs, previous laser or electrolysis treatment and epilation or waxing in the period of 2 months prior to the start of the study.\nThis prospective study was conducted in single private dermatology center (Cutis Academy of Cutaneous Sciences, Bangalore, India). It included 10 untanned healthy women. Only women older than 18 years and with brown or black terminal hair were included. Exclusion criteria were intense tan or sunburn, history of scarring, active cutaneous infection or inflammation, diagnosis of PCOS, pregnancy, breastfeeding, use of photosensitive drugs, previous laser or electrolysis treatment and epilation or waxing in the period of 2 months prior to the start of the study.\nProcedure This was a prospective, split face, evaluator‐blinded comparison of short‐pulse Nd:YAG laser versus long‐pulse Nd:YAG laser. Two different laser systems have been used for the two pulse modalities; Clarity (Lutronic) for the long‐pulse modality (20–30 ms) was used on the left side of the face; and SP Dynamis (Fotona) for the short‐pulse FRAC3 modality (0.6–1.6 ms) on the right side of the face for all patients. The treatment consisted of a single pass with minimal overlapping and 100% coverage of the area with excessive hair growth. Each participant was photographed using a digital camera (Canon EOS 1100D, Canon Inc.) before they underwent a series of six treatment sessions at 6 week intervals. The parameters used in both systems were within the recommended range by the manufacturer for the patients' skin type. Local anesthesia was not applied, and the area of the treatment was shaved before the start of each laser procedure. Right side of the patients face was treated with FRAC3 pulses (0.6–1.6 ms), 9 mm spot size, fluence 10–25 J/cm2, and frequency 2 Hz. Left side of the patients' face was treated with long pulse durations (20–30 ms) with 10 mm spot size, fluence 24–36 J/cm2, and frequency 1 Hz. A single pass over the treated area was performed. All of the standard safety measures were taken during the laser procedure. Cooling with the CryoMini (Zimmer MedizinSysteme GmbH) was used during the procedure. Patients were asked about any side effects before each of the subsequent sessions and at the last follow‐up, 3 months after the last treatment (Figures 1, 2, 3).\nPatient #1: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side)\nPatient #2: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side)\nPatient #3: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side)\nThe efficacy of the treatment was evaluated using different methods. Two blinded dermatologists compared baseline photographs to those taken 3 months after last session. The reduction in hair thickness and number was scored on a four point grading scale; poor (0%–25% reduction), moderate (26%–50%), significant (51%–75%), and excellent (76%–100%). Objective evaluation was done using FotoFinder (FotoFinder Systems), comparing the terminal hair count reduction at the baseline and 3 months after 6th session. Statistical significance of improvement after each treatment option, compared with baseline, was tested using paired‐samples t‐test; while the independent samples t‐test was used for testing the difference of the effects between the short and long pulse laser hair removal option. Chi‐square test was used for comparison of assessments made by blinded dermatologists (IBM Corp. Released 2020. IBM statistics for Windows, Version 27.0: IBM Corp).\nPatients graded their discomfort level using 10‐point visual analog scale (VAS) for each side. They were also asked to choose the side of the face where they observed better effect and were more satisfied with at the last follow‐up.\nThis was a prospective, split face, evaluator‐blinded comparison of short‐pulse Nd:YAG laser versus long‐pulse Nd:YAG laser. Two different laser systems have been used for the two pulse modalities; Clarity (Lutronic) for the long‐pulse modality (20–30 ms) was used on the left side of the face; and SP Dynamis (Fotona) for the short‐pulse FRAC3 modality (0.6–1.6 ms) on the right side of the face for all patients. The treatment consisted of a single pass with minimal overlapping and 100% coverage of the area with excessive hair growth. Each participant was photographed using a digital camera (Canon EOS 1100D, Canon Inc.) before they underwent a series of six treatment sessions at 6 week intervals. The parameters used in both systems were within the recommended range by the manufacturer for the patients' skin type. Local anesthesia was not applied, and the area of the treatment was shaved before the start of each laser procedure. Right side of the patients face was treated with FRAC3 pulses (0.6–1.6 ms), 9 mm spot size, fluence 10–25 J/cm2, and frequency 2 Hz. Left side of the patients' face was treated with long pulse durations (20–30 ms) with 10 mm spot size, fluence 24–36 J/cm2, and frequency 1 Hz. A single pass over the treated area was performed. All of the standard safety measures were taken during the laser procedure. Cooling with the CryoMini (Zimmer MedizinSysteme GmbH) was used during the procedure. Patients were asked about any side effects before each of the subsequent sessions and at the last follow‐up, 3 months after the last treatment (Figures 1, 2, 3).\nPatient #1: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side)\nPatient #2: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side)\nPatient #3: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side)\nThe efficacy of the treatment was evaluated using different methods. Two blinded dermatologists compared baseline photographs to those taken 3 months after last session. The reduction in hair thickness and number was scored on a four point grading scale; poor (0%–25% reduction), moderate (26%–50%), significant (51%–75%), and excellent (76%–100%). Objective evaluation was done using FotoFinder (FotoFinder Systems), comparing the terminal hair count reduction at the baseline and 3 months after 6th session. Statistical significance of improvement after each treatment option, compared with baseline, was tested using paired‐samples t‐test; while the independent samples t‐test was used for testing the difference of the effects between the short and long pulse laser hair removal option. Chi‐square test was used for comparison of assessments made by blinded dermatologists (IBM Corp. Released 2020. IBM statistics for Windows, Version 27.0: IBM Corp).\nPatients graded their discomfort level using 10‐point visual analog scale (VAS) for each side. They were also asked to choose the side of the face where they observed better effect and were more satisfied with at the last follow‐up.", "This prospective study was conducted in single private dermatology center (Cutis Academy of Cutaneous Sciences, Bangalore, India). It included 10 untanned healthy women. Only women older than 18 years and with brown or black terminal hair were included. Exclusion criteria were intense tan or sunburn, history of scarring, active cutaneous infection or inflammation, diagnosis of PCOS, pregnancy, breastfeeding, use of photosensitive drugs, previous laser or electrolysis treatment and epilation or waxing in the period of 2 months prior to the start of the study.", "This was a prospective, split face, evaluator‐blinded comparison of short‐pulse Nd:YAG laser versus long‐pulse Nd:YAG laser. Two different laser systems have been used for the two pulse modalities; Clarity (Lutronic) for the long‐pulse modality (20–30 ms) was used on the left side of the face; and SP Dynamis (Fotona) for the short‐pulse FRAC3 modality (0.6–1.6 ms) on the right side of the face for all patients. The treatment consisted of a single pass with minimal overlapping and 100% coverage of the area with excessive hair growth. Each participant was photographed using a digital camera (Canon EOS 1100D, Canon Inc.) before they underwent a series of six treatment sessions at 6 week intervals. The parameters used in both systems were within the recommended range by the manufacturer for the patients' skin type. Local anesthesia was not applied, and the area of the treatment was shaved before the start of each laser procedure. Right side of the patients face was treated with FRAC3 pulses (0.6–1.6 ms), 9 mm spot size, fluence 10–25 J/cm2, and frequency 2 Hz. Left side of the patients' face was treated with long pulse durations (20–30 ms) with 10 mm spot size, fluence 24–36 J/cm2, and frequency 1 Hz. A single pass over the treated area was performed. All of the standard safety measures were taken during the laser procedure. Cooling with the CryoMini (Zimmer MedizinSysteme GmbH) was used during the procedure. Patients were asked about any side effects before each of the subsequent sessions and at the last follow‐up, 3 months after the last treatment (Figures 1, 2, 3).\nPatient #1: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side)\nPatient #2: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side)\nPatient #3: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side)\nThe efficacy of the treatment was evaluated using different methods. Two blinded dermatologists compared baseline photographs to those taken 3 months after last session. The reduction in hair thickness and number was scored on a four point grading scale; poor (0%–25% reduction), moderate (26%–50%), significant (51%–75%), and excellent (76%–100%). Objective evaluation was done using FotoFinder (FotoFinder Systems), comparing the terminal hair count reduction at the baseline and 3 months after 6th session. Statistical significance of improvement after each treatment option, compared with baseline, was tested using paired‐samples t‐test; while the independent samples t‐test was used for testing the difference of the effects between the short and long pulse laser hair removal option. Chi‐square test was used for comparison of assessments made by blinded dermatologists (IBM Corp. Released 2020. IBM statistics for Windows, Version 27.0: IBM Corp).\nPatients graded their discomfort level using 10‐point visual analog scale (VAS) for each side. They were also asked to choose the side of the face where they observed better effect and were more satisfied with at the last follow‐up.", "The mean age of patients was 25.6 years, ranging from 18 to 40 years. Majority (80%) of participants had Fitzpatrick skin type 4 and the remaining two participants had FP 5. All participants completed the planned 6 treatment sessions, which were 45 days apart on average, as well as the follow‐up 3 month after 6th session.\nThere was high variability in baseline values of terminal hair (0–44), according to FotoFinder results. The mean baseline terminal hair count was 15.3 (95% CI 3.34–27.0) on the left side (long pulse) and 9.3 (95% CI 0.0–18.7) on the right side (FRAC3). There was no significant difference (p = 0.384) in terminal hair count between the sides at baseline (Table 1).\nAverage terminal hair count on both sides before and 3 months after last (6th) session\nBoth treatment options showed reduction in number of terminal hair with statistical significance (p < 0.0005) (Table 1). Comparison of the efficacy of the two pulse durations measured by percent reduction in the number of terminal hair 3 months after the last session showed no significant difference (p = 0.990) between the groups.\nThere was no significant difference in pain perception between the two treatments (p = 0.216). Both treatments were graded with a median pain level value of 3 (values ranging from 1 to 4 for the short pulses; and 2 to 4 for the long pulses, respectively). Besides erythema that lasted up to few hours, there was no serious or long‐term side effects reported by the patients on any of the visits and at the 3 month follow‐up. When asked to name the side of the face where they observed better effect and were more satisfied with the results, five women (50%) chose the right side (FRAC3), 4 (40%) chose the left side (long pulse) and one patient could not decide.", "Both short (FRAC3) and long pulse durations of the Nd:YAG lasers have proven effective and safe in facial hair removal in darker skin types.\n3\n We have been doing hair removal for many years using different devices and wavelengths with an overall good success rate, but it was our subjective experience that short (FRAC3) Nd:YAG pulses outperform the long pulse Nd:YAG options. This study was conducted in order to test our observations as objectively as possible. To achieve this, we used three different outcome measures; besides subjective evaluation of two blinded assessors and patient self‐assessment, we also used an objective method using FotoFinder. The median value of hair reduction was graded as excellent (>75%) for FRAC3 side and as significant (50%–75%) for long pulse side according to two blinded assessors (Table 2). This difference was statistically significant (p = 0.015). All these results are in agreement with published data, which show high variability in hair reduction. Fournier et al.\n19\n used a 3.5 ms Nd:YAG pulse with average fluence of 47 J/cm2 and achieved 60% hair reduction 1 month and 24% reduction 3 months after a single procedure. Khatri et al.\n16\n achieved even better results using even shorter pulses (0.65 ms); around 80% reduction in hair count, great patient satisfaction and no long‐term side effects. Desai treated Indian skin type using sub‐millisecond Nd:YAG pulses (0.3 ms) and showed more than 50% hair reduction at 6 months follow‐up and an average pain score of 2.8 out of 10. This clinical findings were explained by Lukac et al.\n20\n based on the mathematical modeling and in vivo tests. To the best of our knowledge, only one split case study comparing short‐ and long‐pulse Nd:YAG for hair removal has been done so far. Eltarky et al.\n21\n have showed that multiple pass, low fluence, short pulse Nd:YAG hair removal improves the efficacy, reduces patient discomfort, and in most cases, eliminates the need for skin cooling. In contrast to the results by the two blinded evaluators, the reduction was lower when only the number of terminal hair measured by FotoFinder was taken into account; 40.7% for long pulse and 32.9% for FRAC3 side (Table 3), but there was no statistically significant difference between the two treatment options. The lower hair reduction observed with FRAC3 using this method could be attributed to the fact that two patients had a baseline terminal hair measurement of 0 on the FRAC3 side. This is most probably due to the measurement error, since both of these patients asked for hair removal and had macroscopically visible unwanted hair. Therefore, only one of the used methods confirms our observation of short pulse (FRAC3) superiority over long pulse Nd:YAG hair removal. The discrepancy in results from different evaluation methods can probably be attributed to the small sample size and high variability in baseline values of terminal hair (0–44) according to FotoFinder results. This study is consistent with our experience in the last few years regarding safety of the procedure—there were only minimal short lasting side effects, such as erythema and perifollicular edema. Serious side effects, such as burns with blisters and crusts that could result in scarring, were not observed.\n22\n These findings can be attributed to lower fluence used due to higher peak power achieved with shorter pulses. Another advantage of shorter pulses is also better efficacy when targeting fine hair and which is not possible with longer pulse duration Nd:Yag.\n16\n, \n17\n, \n20\n\n\nAssessment of baseline photographs to those taken 3 months after last session by 2 blinded evaluators, presented as % of patients receiving a particular grade of improvement (n = 10*; results present average improvement grade of two evaluators)\nReduction of terminal hair 3 months after last (6th) session on each side", "Hair reduction using 1064 nm Nd:YAG is a safe and effective method of hair reduction especially in darker skin types. We have shown that short pulses are more or at least equally effective and safer as long pulses and that the “gold standard” concept should be rethought. More studies using short pulses should be used in order for this to happen in the future.", "BS.C., C.S., L., and P. J. designed and performed the research study. BS.C., C.S., L., P. J., and A.Z. analyzed the data. A.Z. wrote the paper.", "The authors whose names are listed immediately below certify that they have NO affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers' bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent‐licensing arrangements), or non‐financial interest (such as personal or professional relationships, affiliations, knowledge, or beliefs) in the subject matter or materials discussed in this manuscript.", "ETHICAL APPROVAL Laser hair removal is an established state‐of‐the‐art technique. Different lasers are used worldwide. We have used both lasers/modalities in this study for few years but never in an organized “split” study; so, no approval from the local Ethics committee has been sought. All the subjects have been informed about the different modalities used and willingly participated and gave consent to using their data.\nLaser hair removal is an established state‐of‐the‐art technique. Different lasers are used worldwide. We have used both lasers/modalities in this study for few years but never in an organized “split” study; so, no approval from the local Ethics committee has been sought. All the subjects have been informed about the different modalities used and willingly participated and gave consent to using their data.", "Laser hair removal is an established state‐of‐the‐art technique. Different lasers are used worldwide. We have used both lasers/modalities in this study for few years but never in an organized “split” study; so, no approval from the local Ethics committee has been sought. All the subjects have been informed about the different modalities used and willingly participated and gave consent to using their data.", "The data that support the findings of this study are available from the corresponding author, A.Z., upon reasonable request." ]
[ null, "materials-and-methods", null, null, "results", "discussion", "conclusions", null, "COI-statement", null, null, "data-availability" ]
[ "ethnic skin", "laser hair removal", "Nd:YAG laser" ]
INTRODUCTION: Excess hair growth is a common problem for both genders and is usually very distressing, resulting in negative impacts on psychological aspect and quality of life. 1 Many different hair removal methods that can be used at home, but offer only short‐term results, such as chemical depilation, waxing, shaving, and plucking, are widely used to reduce the number of unwanted hair. Permanent results can be achieved with electrolysis, which is less frequently used due to long and painful sessions with scarring and high associated costs. 2 Laser hair reduction (LHR) gained popularity in the last decade and is presently the most frequently used long‐term hair removal method, due to fewer side effects, lesser time consumption, longer hair free interval, and decreased pain. 3 Various laser wavelengths are presently used for LHR; Alexandrite (755 nm), diode lasers (810 nm), Nd:YAG (1064 nm), and intense pulsed light system (IPL). 3 , 4 Nd:YAG (1064 nm) lasers have the deepest penetration and appear to be safe in skin of color patients with less side effects reported, compared with other wavelengths. 3 , 5 , 6 , 7 , 8 , 9 LHR works on the principle of selective photothermolysis—the laser light is selectively absorbed by melanin, which is abundant in the hair shaft, and damages the hair follicle without damaging the skin. 10 The theory states that the pulse duration should be equal or shorter to the thermal relaxation time (TRT) of the hair shaft in order to be effective in hair follicle destruction. The TRT of the hair shaft is estimated to be between 10 and 100 ms 11 , 12 so, the most commonly used Nd:YAG hair removal pulse duration ranges between 15 and 50 ms with fluences between 25 and 70 J/cm2 using 6–20 mm spot size. 3 , 7 , 13 , 14 , 15 Recent studies showed that shorter Nd:YAG pulses with pulse width of 0.6–3.5 ms are also effective in hair reduction, while maintaining better comfort for the patient. This can be attributed to higher peak power when shorter pulse are used. Therefore, lower fluence can be used while maintaining the efficacy 16 , 17 and having less pain and side effects even without cooling of the treatment area. 18 , 19 On the contrary, the short pulse duration is having a better efficacy when targeting fine hair and that was not possible with longer pulse duration Nd:Yag. The aim of this study was to compare the short‐ and long‐pulsed methods of Nd:YAG for facial hair removal on darker Fitzpatrick skin types (IV–V). MATERIALS AND METHODS: Participants This prospective study was conducted in single private dermatology center (Cutis Academy of Cutaneous Sciences, Bangalore, India). It included 10 untanned healthy women. Only women older than 18 years and with brown or black terminal hair were included. Exclusion criteria were intense tan or sunburn, history of scarring, active cutaneous infection or inflammation, diagnosis of PCOS, pregnancy, breastfeeding, use of photosensitive drugs, previous laser or electrolysis treatment and epilation or waxing in the period of 2 months prior to the start of the study. This prospective study was conducted in single private dermatology center (Cutis Academy of Cutaneous Sciences, Bangalore, India). It included 10 untanned healthy women. Only women older than 18 years and with brown or black terminal hair were included. Exclusion criteria were intense tan or sunburn, history of scarring, active cutaneous infection or inflammation, diagnosis of PCOS, pregnancy, breastfeeding, use of photosensitive drugs, previous laser or electrolysis treatment and epilation or waxing in the period of 2 months prior to the start of the study. Procedure This was a prospective, split face, evaluator‐blinded comparison of short‐pulse Nd:YAG laser versus long‐pulse Nd:YAG laser. Two different laser systems have been used for the two pulse modalities; Clarity (Lutronic) for the long‐pulse modality (20–30 ms) was used on the left side of the face; and SP Dynamis (Fotona) for the short‐pulse FRAC3 modality (0.6–1.6 ms) on the right side of the face for all patients. The treatment consisted of a single pass with minimal overlapping and 100% coverage of the area with excessive hair growth. Each participant was photographed using a digital camera (Canon EOS 1100D, Canon Inc.) before they underwent a series of six treatment sessions at 6 week intervals. The parameters used in both systems were within the recommended range by the manufacturer for the patients' skin type. Local anesthesia was not applied, and the area of the treatment was shaved before the start of each laser procedure. Right side of the patients face was treated with FRAC3 pulses (0.6–1.6 ms), 9 mm spot size, fluence 10–25 J/cm2, and frequency 2 Hz. Left side of the patients' face was treated with long pulse durations (20–30 ms) with 10 mm spot size, fluence 24–36 J/cm2, and frequency 1 Hz. A single pass over the treated area was performed. All of the standard safety measures were taken during the laser procedure. Cooling with the CryoMini (Zimmer MedizinSysteme GmbH) was used during the procedure. Patients were asked about any side effects before each of the subsequent sessions and at the last follow‐up, 3 months after the last treatment (Figures 1, 2, 3). Patient #1: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side) Patient #2: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side) Patient #3: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side) The efficacy of the treatment was evaluated using different methods. Two blinded dermatologists compared baseline photographs to those taken 3 months after last session. The reduction in hair thickness and number was scored on a four point grading scale; poor (0%–25% reduction), moderate (26%–50%), significant (51%–75%), and excellent (76%–100%). Objective evaluation was done using FotoFinder (FotoFinder Systems), comparing the terminal hair count reduction at the baseline and 3 months after 6th session. Statistical significance of improvement after each treatment option, compared with baseline, was tested using paired‐samples t‐test; while the independent samples t‐test was used for testing the difference of the effects between the short and long pulse laser hair removal option. Chi‐square test was used for comparison of assessments made by blinded dermatologists (IBM Corp. Released 2020. IBM statistics for Windows, Version 27.0: IBM Corp). Patients graded their discomfort level using 10‐point visual analog scale (VAS) for each side. They were also asked to choose the side of the face where they observed better effect and were more satisfied with at the last follow‐up. This was a prospective, split face, evaluator‐blinded comparison of short‐pulse Nd:YAG laser versus long‐pulse Nd:YAG laser. Two different laser systems have been used for the two pulse modalities; Clarity (Lutronic) for the long‐pulse modality (20–30 ms) was used on the left side of the face; and SP Dynamis (Fotona) for the short‐pulse FRAC3 modality (0.6–1.6 ms) on the right side of the face for all patients. The treatment consisted of a single pass with minimal overlapping and 100% coverage of the area with excessive hair growth. Each participant was photographed using a digital camera (Canon EOS 1100D, Canon Inc.) before they underwent a series of six treatment sessions at 6 week intervals. The parameters used in both systems were within the recommended range by the manufacturer for the patients' skin type. Local anesthesia was not applied, and the area of the treatment was shaved before the start of each laser procedure. Right side of the patients face was treated with FRAC3 pulses (0.6–1.6 ms), 9 mm spot size, fluence 10–25 J/cm2, and frequency 2 Hz. Left side of the patients' face was treated with long pulse durations (20–30 ms) with 10 mm spot size, fluence 24–36 J/cm2, and frequency 1 Hz. A single pass over the treated area was performed. All of the standard safety measures were taken during the laser procedure. Cooling with the CryoMini (Zimmer MedizinSysteme GmbH) was used during the procedure. Patients were asked about any side effects before each of the subsequent sessions and at the last follow‐up, 3 months after the last treatment (Figures 1, 2, 3). Patient #1: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side) Patient #2: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side) Patient #3: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side) The efficacy of the treatment was evaluated using different methods. Two blinded dermatologists compared baseline photographs to those taken 3 months after last session. The reduction in hair thickness and number was scored on a four point grading scale; poor (0%–25% reduction), moderate (26%–50%), significant (51%–75%), and excellent (76%–100%). Objective evaluation was done using FotoFinder (FotoFinder Systems), comparing the terminal hair count reduction at the baseline and 3 months after 6th session. Statistical significance of improvement after each treatment option, compared with baseline, was tested using paired‐samples t‐test; while the independent samples t‐test was used for testing the difference of the effects between the short and long pulse laser hair removal option. Chi‐square test was used for comparison of assessments made by blinded dermatologists (IBM Corp. Released 2020. IBM statistics for Windows, Version 27.0: IBM Corp). Patients graded their discomfort level using 10‐point visual analog scale (VAS) for each side. They were also asked to choose the side of the face where they observed better effect and were more satisfied with at the last follow‐up. Participants: This prospective study was conducted in single private dermatology center (Cutis Academy of Cutaneous Sciences, Bangalore, India). It included 10 untanned healthy women. Only women older than 18 years and with brown or black terminal hair were included. Exclusion criteria were intense tan or sunburn, history of scarring, active cutaneous infection or inflammation, diagnosis of PCOS, pregnancy, breastfeeding, use of photosensitive drugs, previous laser or electrolysis treatment and epilation or waxing in the period of 2 months prior to the start of the study. Procedure: This was a prospective, split face, evaluator‐blinded comparison of short‐pulse Nd:YAG laser versus long‐pulse Nd:YAG laser. Two different laser systems have been used for the two pulse modalities; Clarity (Lutronic) for the long‐pulse modality (20–30 ms) was used on the left side of the face; and SP Dynamis (Fotona) for the short‐pulse FRAC3 modality (0.6–1.6 ms) on the right side of the face for all patients. The treatment consisted of a single pass with minimal overlapping and 100% coverage of the area with excessive hair growth. Each participant was photographed using a digital camera (Canon EOS 1100D, Canon Inc.) before they underwent a series of six treatment sessions at 6 week intervals. The parameters used in both systems were within the recommended range by the manufacturer for the patients' skin type. Local anesthesia was not applied, and the area of the treatment was shaved before the start of each laser procedure. Right side of the patients face was treated with FRAC3 pulses (0.6–1.6 ms), 9 mm spot size, fluence 10–25 J/cm2, and frequency 2 Hz. Left side of the patients' face was treated with long pulse durations (20–30 ms) with 10 mm spot size, fluence 24–36 J/cm2, and frequency 1 Hz. A single pass over the treated area was performed. All of the standard safety measures were taken during the laser procedure. Cooling with the CryoMini (Zimmer MedizinSysteme GmbH) was used during the procedure. Patients were asked about any side effects before each of the subsequent sessions and at the last follow‐up, 3 months after the last treatment (Figures 1, 2, 3). Patient #1: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side) Patient #2: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side) Patient #3: Before the treatment (top), after the therapy (bottom); long pulse (left side), FRAC3 (right side) The efficacy of the treatment was evaluated using different methods. Two blinded dermatologists compared baseline photographs to those taken 3 months after last session. The reduction in hair thickness and number was scored on a four point grading scale; poor (0%–25% reduction), moderate (26%–50%), significant (51%–75%), and excellent (76%–100%). Objective evaluation was done using FotoFinder (FotoFinder Systems), comparing the terminal hair count reduction at the baseline and 3 months after 6th session. Statistical significance of improvement after each treatment option, compared with baseline, was tested using paired‐samples t‐test; while the independent samples t‐test was used for testing the difference of the effects between the short and long pulse laser hair removal option. Chi‐square test was used for comparison of assessments made by blinded dermatologists (IBM Corp. Released 2020. IBM statistics for Windows, Version 27.0: IBM Corp). Patients graded their discomfort level using 10‐point visual analog scale (VAS) for each side. They were also asked to choose the side of the face where they observed better effect and were more satisfied with at the last follow‐up. RESULTS: The mean age of patients was 25.6 years, ranging from 18 to 40 years. Majority (80%) of participants had Fitzpatrick skin type 4 and the remaining two participants had FP 5. All participants completed the planned 6 treatment sessions, which were 45 days apart on average, as well as the follow‐up 3 month after 6th session. There was high variability in baseline values of terminal hair (0–44), according to FotoFinder results. The mean baseline terminal hair count was 15.3 (95% CI 3.34–27.0) on the left side (long pulse) and 9.3 (95% CI 0.0–18.7) on the right side (FRAC3). There was no significant difference (p = 0.384) in terminal hair count between the sides at baseline (Table 1). Average terminal hair count on both sides before and 3 months after last (6th) session Both treatment options showed reduction in number of terminal hair with statistical significance (p < 0.0005) (Table 1). Comparison of the efficacy of the two pulse durations measured by percent reduction in the number of terminal hair 3 months after the last session showed no significant difference (p = 0.990) between the groups. There was no significant difference in pain perception between the two treatments (p = 0.216). Both treatments were graded with a median pain level value of 3 (values ranging from 1 to 4 for the short pulses; and 2 to 4 for the long pulses, respectively). Besides erythema that lasted up to few hours, there was no serious or long‐term side effects reported by the patients on any of the visits and at the 3 month follow‐up. When asked to name the side of the face where they observed better effect and were more satisfied with the results, five women (50%) chose the right side (FRAC3), 4 (40%) chose the left side (long pulse) and one patient could not decide. DISCUSSION: Both short (FRAC3) and long pulse durations of the Nd:YAG lasers have proven effective and safe in facial hair removal in darker skin types. 3 We have been doing hair removal for many years using different devices and wavelengths with an overall good success rate, but it was our subjective experience that short (FRAC3) Nd:YAG pulses outperform the long pulse Nd:YAG options. This study was conducted in order to test our observations as objectively as possible. To achieve this, we used three different outcome measures; besides subjective evaluation of two blinded assessors and patient self‐assessment, we also used an objective method using FotoFinder. The median value of hair reduction was graded as excellent (>75%) for FRAC3 side and as significant (50%–75%) for long pulse side according to two blinded assessors (Table 2). This difference was statistically significant (p = 0.015). All these results are in agreement with published data, which show high variability in hair reduction. Fournier et al. 19 used a 3.5 ms Nd:YAG pulse with average fluence of 47 J/cm2 and achieved 60% hair reduction 1 month and 24% reduction 3 months after a single procedure. Khatri et al. 16 achieved even better results using even shorter pulses (0.65 ms); around 80% reduction in hair count, great patient satisfaction and no long‐term side effects. Desai treated Indian skin type using sub‐millisecond Nd:YAG pulses (0.3 ms) and showed more than 50% hair reduction at 6 months follow‐up and an average pain score of 2.8 out of 10. This clinical findings were explained by Lukac et al. 20 based on the mathematical modeling and in vivo tests. To the best of our knowledge, only one split case study comparing short‐ and long‐pulse Nd:YAG for hair removal has been done so far. Eltarky et al. 21 have showed that multiple pass, low fluence, short pulse Nd:YAG hair removal improves the efficacy, reduces patient discomfort, and in most cases, eliminates the need for skin cooling. In contrast to the results by the two blinded evaluators, the reduction was lower when only the number of terminal hair measured by FotoFinder was taken into account; 40.7% for long pulse and 32.9% for FRAC3 side (Table 3), but there was no statistically significant difference between the two treatment options. The lower hair reduction observed with FRAC3 using this method could be attributed to the fact that two patients had a baseline terminal hair measurement of 0 on the FRAC3 side. This is most probably due to the measurement error, since both of these patients asked for hair removal and had macroscopically visible unwanted hair. Therefore, only one of the used methods confirms our observation of short pulse (FRAC3) superiority over long pulse Nd:YAG hair removal. The discrepancy in results from different evaluation methods can probably be attributed to the small sample size and high variability in baseline values of terminal hair (0–44) according to FotoFinder results. This study is consistent with our experience in the last few years regarding safety of the procedure—there were only minimal short lasting side effects, such as erythema and perifollicular edema. Serious side effects, such as burns with blisters and crusts that could result in scarring, were not observed. 22 These findings can be attributed to lower fluence used due to higher peak power achieved with shorter pulses. Another advantage of shorter pulses is also better efficacy when targeting fine hair and which is not possible with longer pulse duration Nd:Yag. 16 , 17 , 20 Assessment of baseline photographs to those taken 3 months after last session by 2 blinded evaluators, presented as % of patients receiving a particular grade of improvement (n = 10*; results present average improvement grade of two evaluators) Reduction of terminal hair 3 months after last (6th) session on each side CONCLUSION: Hair reduction using 1064 nm Nd:YAG is a safe and effective method of hair reduction especially in darker skin types. We have shown that short pulses are more or at least equally effective and safer as long pulses and that the “gold standard” concept should be rethought. More studies using short pulses should be used in order for this to happen in the future. AUTHOR CONTRIBUTIONS: BS.C., C.S., L., and P. J. designed and performed the research study. BS.C., C.S., L., P. J., and A.Z. analyzed the data. A.Z. wrote the paper. CONFLICT OF INTEREST: The authors whose names are listed immediately below certify that they have NO affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers' bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent‐licensing arrangements), or non‐financial interest (such as personal or professional relationships, affiliations, knowledge, or beliefs) in the subject matter or materials discussed in this manuscript. ETHICAL APPROVAL: ETHICAL APPROVAL Laser hair removal is an established state‐of‐the‐art technique. Different lasers are used worldwide. We have used both lasers/modalities in this study for few years but never in an organized “split” study; so, no approval from the local Ethics committee has been sought. All the subjects have been informed about the different modalities used and willingly participated and gave consent to using their data. Laser hair removal is an established state‐of‐the‐art technique. Different lasers are used worldwide. We have used both lasers/modalities in this study for few years but never in an organized “split” study; so, no approval from the local Ethics committee has been sought. All the subjects have been informed about the different modalities used and willingly participated and gave consent to using their data. ETHICAL APPROVAL: Laser hair removal is an established state‐of‐the‐art technique. Different lasers are used worldwide. We have used both lasers/modalities in this study for few years but never in an organized “split” study; so, no approval from the local Ethics committee has been sought. All the subjects have been informed about the different modalities used and willingly participated and gave consent to using their data. DATA AVAILABILITY STATEMENT: The data that support the findings of this study are available from the corresponding author, A.Z., upon reasonable request.
Background: Laser hair reduction gained popularity in the last decade and is presently the most frequently used long-term hair removal method. It works on the principle of selective photothermolysis-the laser damages the hair follicle without damaging the skin. Shorter Nd:YAG pulses are also effective in hair reduction, while maintaining better comfort for the patient. Methods: This prospective split face, evaluator-blinded comparison of short-pulse Nd:YAG laser versus long-pulse Nd:YAG laser study included 10 untanned healthy women. There were two outcome measers, two blinded dermatologists compared baseline photographs with those taken 3 months after last session and FotoFinder was used to compare the terminal hair count reduction at the baseline and 3 months after 6th session. Results: Both blinded assesors observed significant hair reduction with both lasers; excellent results were achieved in 20% with long pulse and in 55% with short pulse. Both treatment options showed reduction in number of terminal hair with statistical significance using FotoFinder. Comparison of the efficacy of the two pulse durations measured by percent reduction in the number of terminal hair 3 months after the last session showed no significant difference between the groups. Conclusions: Hair reduction using 1064 nm Nd:YAG is a safe and effective method of hair reduction especially in darker skin types. We have shown that short pulses are better or at least equally safe and effective as the "gold standard" long pulses.
INTRODUCTION: Excess hair growth is a common problem for both genders and is usually very distressing, resulting in negative impacts on psychological aspect and quality of life. 1 Many different hair removal methods that can be used at home, but offer only short‐term results, such as chemical depilation, waxing, shaving, and plucking, are widely used to reduce the number of unwanted hair. Permanent results can be achieved with electrolysis, which is less frequently used due to long and painful sessions with scarring and high associated costs. 2 Laser hair reduction (LHR) gained popularity in the last decade and is presently the most frequently used long‐term hair removal method, due to fewer side effects, lesser time consumption, longer hair free interval, and decreased pain. 3 Various laser wavelengths are presently used for LHR; Alexandrite (755 nm), diode lasers (810 nm), Nd:YAG (1064 nm), and intense pulsed light system (IPL). 3 , 4 Nd:YAG (1064 nm) lasers have the deepest penetration and appear to be safe in skin of color patients with less side effects reported, compared with other wavelengths. 3 , 5 , 6 , 7 , 8 , 9 LHR works on the principle of selective photothermolysis—the laser light is selectively absorbed by melanin, which is abundant in the hair shaft, and damages the hair follicle without damaging the skin. 10 The theory states that the pulse duration should be equal or shorter to the thermal relaxation time (TRT) of the hair shaft in order to be effective in hair follicle destruction. The TRT of the hair shaft is estimated to be between 10 and 100 ms 11 , 12 so, the most commonly used Nd:YAG hair removal pulse duration ranges between 15 and 50 ms with fluences between 25 and 70 J/cm2 using 6–20 mm spot size. 3 , 7 , 13 , 14 , 15 Recent studies showed that shorter Nd:YAG pulses with pulse width of 0.6–3.5 ms are also effective in hair reduction, while maintaining better comfort for the patient. This can be attributed to higher peak power when shorter pulse are used. Therefore, lower fluence can be used while maintaining the efficacy 16 , 17 and having less pain and side effects even without cooling of the treatment area. 18 , 19 On the contrary, the short pulse duration is having a better efficacy when targeting fine hair and that was not possible with longer pulse duration Nd:Yag. The aim of this study was to compare the short‐ and long‐pulsed methods of Nd:YAG for facial hair removal on darker Fitzpatrick skin types (IV–V). CONCLUSION: Hair reduction using 1064 nm Nd:YAG is a safe and effective method of hair reduction especially in darker skin types. We have shown that short pulses are more or at least equally effective and safer as long pulses and that the “gold standard” concept should be rethought. More studies using short pulses should be used in order for this to happen in the future.
Background: Laser hair reduction gained popularity in the last decade and is presently the most frequently used long-term hair removal method. It works on the principle of selective photothermolysis-the laser damages the hair follicle without damaging the skin. Shorter Nd:YAG pulses are also effective in hair reduction, while maintaining better comfort for the patient. Methods: This prospective split face, evaluator-blinded comparison of short-pulse Nd:YAG laser versus long-pulse Nd:YAG laser study included 10 untanned healthy women. There were two outcome measers, two blinded dermatologists compared baseline photographs with those taken 3 months after last session and FotoFinder was used to compare the terminal hair count reduction at the baseline and 3 months after 6th session. Results: Both blinded assesors observed significant hair reduction with both lasers; excellent results were achieved in 20% with long pulse and in 55% with short pulse. Both treatment options showed reduction in number of terminal hair with statistical significance using FotoFinder. Comparison of the efficacy of the two pulse durations measured by percent reduction in the number of terminal hair 3 months after the last session showed no significant difference between the groups. Conclusions: Hair reduction using 1064 nm Nd:YAG is a safe and effective method of hair reduction especially in darker skin types. We have shown that short pulses are better or at least equally safe and effective as the "gold standard" long pulses.
4,433
280
[ 552, 101, 639, 36, 149, 73 ]
12
[ "hair", "pulse", "long", "treatment", "long pulse", "laser", "reduction", "patients", "frac3", "nd yag" ]
[ "hair removal improves", "hair removal option", "laser electrolysis treatment", "data laser hair", "approval laser hair" ]
null
[CONTENT] ethnic skin | laser hair removal | Nd:YAG laser [SUMMARY]
null
[CONTENT] ethnic skin | laser hair removal | Nd:YAG laser [SUMMARY]
[CONTENT] ethnic skin | laser hair removal | Nd:YAG laser [SUMMARY]
[CONTENT] ethnic skin | laser hair removal | Nd:YAG laser [SUMMARY]
[CONTENT] ethnic skin | laser hair removal | Nd:YAG laser [SUMMARY]
[CONTENT] Female | Hair Removal | Humans | Laser Therapy | Lasers, Solid-State | Prospective Studies | Treatment Outcome [SUMMARY]
null
[CONTENT] Female | Hair Removal | Humans | Laser Therapy | Lasers, Solid-State | Prospective Studies | Treatment Outcome [SUMMARY]
[CONTENT] Female | Hair Removal | Humans | Laser Therapy | Lasers, Solid-State | Prospective Studies | Treatment Outcome [SUMMARY]
[CONTENT] Female | Hair Removal | Humans | Laser Therapy | Lasers, Solid-State | Prospective Studies | Treatment Outcome [SUMMARY]
[CONTENT] Female | Hair Removal | Humans | Laser Therapy | Lasers, Solid-State | Prospective Studies | Treatment Outcome [SUMMARY]
[CONTENT] hair removal improves | hair removal option | laser electrolysis treatment | data laser hair | approval laser hair [SUMMARY]
null
[CONTENT] hair removal improves | hair removal option | laser electrolysis treatment | data laser hair | approval laser hair [SUMMARY]
[CONTENT] hair removal improves | hair removal option | laser electrolysis treatment | data laser hair | approval laser hair [SUMMARY]
[CONTENT] hair removal improves | hair removal option | laser electrolysis treatment | data laser hair | approval laser hair [SUMMARY]
[CONTENT] hair removal improves | hair removal option | laser electrolysis treatment | data laser hair | approval laser hair [SUMMARY]
[CONTENT] hair | pulse | long | treatment | long pulse | laser | reduction | patients | frac3 | nd yag [SUMMARY]
null
[CONTENT] hair | pulse | long | treatment | long pulse | laser | reduction | patients | frac3 | nd yag [SUMMARY]
[CONTENT] hair | pulse | long | treatment | long pulse | laser | reduction | patients | frac3 | nd yag [SUMMARY]
[CONTENT] hair | pulse | long | treatment | long pulse | laser | reduction | patients | frac3 | nd yag [SUMMARY]
[CONTENT] hair | pulse | long | treatment | long pulse | laser | reduction | patients | frac3 | nd yag [SUMMARY]
[CONTENT] hair | pulse | yag | nd | nd yag | nm | duration | pulse duration | shaft | lhr [SUMMARY]
null
[CONTENT] terminal | terminal hair | hair | significant difference | participants | terminal hair count | long | baseline | significant | difference [SUMMARY]
[CONTENT] short pulses | pulses | hair reduction | effective | short | reduction | short pulses order | effective safer long | effective safer long pulses | equally effective [SUMMARY]
[CONTENT] hair | pulse | study | long | laser | treatment | long pulse | reduction | nd | nd yag [SUMMARY]
[CONTENT] hair | pulse | study | long | laser | treatment | long pulse | reduction | nd | nd yag [SUMMARY]
[CONTENT] the last decade ||| ||| [SUMMARY]
null
[CONTENT] 20% | 55% ||| FotoFinder ||| two | 3 months [SUMMARY]
[CONTENT] 1064 | YAG ||| [SUMMARY]
[CONTENT] the last decade ||| ||| ||| 10 ||| two | two | 3 months | FotoFinder | 3 months | 6th ||| 20% | 55% ||| FotoFinder ||| two | 3 months ||| 1064 | YAG ||| [SUMMARY]
[CONTENT] the last decade ||| ||| ||| 10 ||| two | two | 3 months | FotoFinder | 3 months | 6th ||| 20% | 55% ||| FotoFinder ||| two | 3 months ||| 1064 | YAG ||| [SUMMARY]
Does a Wii-based exercise program enhance balance control of independently functioning older adults? A systematic review.
25364238
Exercise programs that challenge an individual's balance have been shown to reduce the risk of falls among older adults. Virtual reality computer-based technology that provides the user with opportunities to interact with virtual objects is used extensively for entertainment. There is a growing interest in the potential of virtual reality-based interventions for balance training in older adults. This work comprises a systematic review of the literature to determine the effects of intervention programs utilizing the Nintendo Wii console on balance control and functional performance in independently functioning older adults.
BACKGROUND
STUDIES WERE OBTAINED BY SEARCHING THE FOLLOWING DATABASES: PubMed, CINAHL, PEDro, EMBASE, SPORTdiscus, and Google Scholar, followed by a hand search of bibliographic references of the included studies. Included were randomized controlled trials written in English in which Nintendo Wii Fit was used to enhance standing balance performance in older adults and compared with an alternative exercise treatment, placebo, or no treatment.
METHODS
Seven relevant studies were retrieved. The four studies examining the effect of Wii-based exercise compared with no exercise reported positive effects on at least one outcome measure related to balance performance in older adults. Studies comparing Wii-based training with alternative exercise programs generally indicated that the balance improvements achieved by Wii-based training are comparable with those achieved by other exercise programs.
RESULTS
The review indicates that Wii-based exercise programs may serve as an alternative to more conventional forms of exercise aimed at improving balance control. However, due to the great variability between studies in terms of the intervention protocols and outcome measures, as well as methodological limitations, definitive recommendations as to optimal treatment protocols and the potential of such an intervention as a safe and effective home-based treatment cannot be made at this point.
CONCLUSION
[ "Accidental Falls", "Activities of Daily Living", "Aged", "Exercise Therapy", "Humans", "Independent Living", "Postural Balance", "Randomized Controlled Trials as Topic", "Therapy, Computer-Assisted", "User-Computer Interface", "Video Games" ]
4211857
Characteristics of included studies
Subjects The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45 The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45 VR intervention The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study. A variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters. All the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis. The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study. A variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters. All the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis. Control interventions Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies. Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies. Duration and number of treatments The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes. The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes.
Study selection
Initial screening resulted in a total of 351 papers, of which 39 were considered relevant on the basis of their title and abstract. Full text review of these studies indicated that eight randomized controlled trials met all the inclusion criteria for review. Two of these articles were considered as a single study, since consultation with their primary author determined that they reported different outcome measures obtained from the same data set.38,39 Thus, the final review included seven randomized controlled trials. The selection process for the studies included in this systematic review is presented in Figure 1. Characteristics of the final seven studies retrieved are summarized in Table 1.
Results
Study selection Initial screening resulted in a total of 351 papers, of which 39 were considered relevant on the basis of their title and abstract. Full text review of these studies indicated that eight randomized controlled trials met all the inclusion criteria for review. Two of these articles were considered as a single study, since consultation with their primary author determined that they reported different outcome measures obtained from the same data set.38,39 Thus, the final review included seven randomized controlled trials. The selection process for the studies included in this systematic review is presented in Figure 1. Characteristics of the final seven studies retrieved are summarized in Table 1. Initial screening resulted in a total of 351 papers, of which 39 were considered relevant on the basis of their title and abstract. Full text review of these studies indicated that eight randomized controlled trials met all the inclusion criteria for review. Two of these articles were considered as a single study, since consultation with their primary author determined that they reported different outcome measures obtained from the same data set.38,39 Thus, the final review included seven randomized controlled trials. The selection process for the studies included in this systematic review is presented in Figure 1. Characteristics of the final seven studies retrieved are summarized in Table 1. Methodological quality The methodological quality of the included papers according to the PEDro classification scale is presented in Table 2. The mean PEDro score was 5.57 (SD 0.78), with one study graded excellent (score 7/10),40 two good (score 6/10),38–41 and the rest fair (score 5/10).42–45 Four items were scored positive in all studies: “eligibility criteria”, “random allocation”, “baseline comparability”, “point estimates and variability”, and “adequate follow-up”, while “between group comparison” was scored positive in most of the studies. In contrast, blindness of the participants or the therapists was impossible due to the nature of the studies, and only three studies maintained blindness of the assessor.38–41 Finally, “concealed allocation”43,45 and “intention to treat” were rated positive in only two studies.40,41 The methodological quality of the included papers according to the PEDro classification scale is presented in Table 2. The mean PEDro score was 5.57 (SD 0.78), with one study graded excellent (score 7/10),40 two good (score 6/10),38–41 and the rest fair (score 5/10).42–45 Four items were scored positive in all studies: “eligibility criteria”, “random allocation”, “baseline comparability”, “point estimates and variability”, and “adequate follow-up”, while “between group comparison” was scored positive in most of the studies. In contrast, blindness of the participants or the therapists was impossible due to the nature of the studies, and only three studies maintained blindness of the assessor.38–41 Finally, “concealed allocation”43,45 and “intention to treat” were rated positive in only two studies.40,41 Characteristics of included studies Subjects The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45 The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45 VR intervention The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study. A variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters. All the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis. The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study. A variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters. All the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis. Control interventions Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies. Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies. Duration and number of treatments The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes. The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes. Subjects The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45 The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45 VR intervention The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study. A variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters. All the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis. The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study. A variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters. All the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis. Control interventions Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies. Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies. Duration and number of treatments The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes. The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes. Outcome measures Assessments were carried out pre-intervention and immediately post-intervention in all the studies. An additional mid-term assessment was conducted in only one study.44 No study included follow-up assessments. All of the studies employed at least one outcome measure that examined change in functional balance performance. The most frequently used measure was the Timed Up and Go (TUG) test, which was tested in all but one study that used unipedal stance time (eyes open and closed) and the Tinetti Balance test instead.45 While two studies did not include any additional functional tests,41,42 most studies incorporated additional clinical tests, such as the chair stand test, which is considered both a functional test and a general assessment of lower extremity strength.40,42,44 Other clinical tests included were the functional reach test,43,44 the Tinetti Balance test,43,45 the one-leg stance test,43,45 obstacle course completion,44 and the ten-step test.38 In addition to clinical balance tests, four studies incorporated instrumented measures of postural sway.38,40,43,45 Since no follow-up tests were included, none of the studies demonstrated a treatment effect on fall frequency. However, two studies included questionnaires examining treatment effect on fall risk,38,43 and four used a questionnaire38,40,41,43 to evaluate the intervention effect on fear of falling, which has been shown to be related to activity limitations and fall risk.46,47 Other performance measures examined were fitness and muscle strength. The six-minute walk test was used to examine treatment effect on activity endurance in two studies42,44 and one study incorporated a senior fitness test.44 Effect on muscle strength was evaluated in three studies.40,42,44 Finally, measures of cognitive performance42 and depression were tested in only one study.41 Assessments were carried out pre-intervention and immediately post-intervention in all the studies. An additional mid-term assessment was conducted in only one study.44 No study included follow-up assessments. All of the studies employed at least one outcome measure that examined change in functional balance performance. The most frequently used measure was the Timed Up and Go (TUG) test, which was tested in all but one study that used unipedal stance time (eyes open and closed) and the Tinetti Balance test instead.45 While two studies did not include any additional functional tests,41,42 most studies incorporated additional clinical tests, such as the chair stand test, which is considered both a functional test and a general assessment of lower extremity strength.40,42,44 Other clinical tests included were the functional reach test,43,44 the Tinetti Balance test,43,45 the one-leg stance test,43,45 obstacle course completion,44 and the ten-step test.38 In addition to clinical balance tests, four studies incorporated instrumented measures of postural sway.38,40,43,45 Since no follow-up tests were included, none of the studies demonstrated a treatment effect on fall frequency. However, two studies included questionnaires examining treatment effect on fall risk,38,43 and four used a questionnaire38,40,41,43 to evaluate the intervention effect on fear of falling, which has been shown to be related to activity limitations and fall risk.46,47 Other performance measures examined were fitness and muscle strength. The six-minute walk test was used to examine treatment effect on activity endurance in two studies42,44 and one study incorporated a senior fitness test.44 Effect on muscle strength was evaluated in three studies.40,42,44 Finally, measures of cognitive performance42 and depression were tested in only one study.41 Treatment effect Due to methodological variability and insufficient data, the effects of Wii-based training could not be pooled for a meta-analysis. Thus, for example, while TUG was the most frequently used test, incorporated in all but one study,45 the distance walked in each direction was 3 meters in three studies39,40,43 and 8 feet in three studies.41,42,44 These differences, as well as insufficient data in two of the studies,41,42 along with different control interventions made it impossible to perform a meta-analysis. All four studies comparing the VR group with no treatment or with a sham treatment indicated that VR training had a significant positive effect on the TUG test.40–42,45 Among the three studies that compared the Wii-based program with a different exercise program, Pluchino et al43 reported no significant improvement in TUG for either treatment group, similar improvements in both groups were noted by Reed-Jones et al44 and greater improvements in TUG were reported for the group receiving an alternative exercise program in the third study.39 Significantly greater effects were noted for the VR group when compared with a control group in the chair stand test,40,42 the six-minute walk test,42 and the Tinetti static test.45 Somewhat less consistent results were obtained when comparing the VR intervention with an alternative intervention. While Pluchino et al43 reported no significant effect on performance measures in either treatment group for the forward reach test and the Tinetti static test,43 Reed-Jones et al44 reported comparable improvements in both the VR-based and non-VR-based interventions for the chair stand test, the six-minute walk test, the forward reach test, the obstacle course test, and the Tinetti static test, and Singh et al reported comparable results for the ten-step test.38 A positive effect on postural sway measures were noted in three39,43,45 of four studies.40 Finally, the results of the balance self-efficacy questionnaires indicated improved self-confidence following Wii-based training in two studies,40,41 no significant improvement in one,43 and comparable positive results when the effect of Wii-based training was compared with an alternative exercise program.38 Due to methodological variability and insufficient data, the effects of Wii-based training could not be pooled for a meta-analysis. Thus, for example, while TUG was the most frequently used test, incorporated in all but one study,45 the distance walked in each direction was 3 meters in three studies39,40,43 and 8 feet in three studies.41,42,44 These differences, as well as insufficient data in two of the studies,41,42 along with different control interventions made it impossible to perform a meta-analysis. All four studies comparing the VR group with no treatment or with a sham treatment indicated that VR training had a significant positive effect on the TUG test.40–42,45 Among the three studies that compared the Wii-based program with a different exercise program, Pluchino et al43 reported no significant improvement in TUG for either treatment group, similar improvements in both groups were noted by Reed-Jones et al44 and greater improvements in TUG were reported for the group receiving an alternative exercise program in the third study.39 Significantly greater effects were noted for the VR group when compared with a control group in the chair stand test,40,42 the six-minute walk test,42 and the Tinetti static test.45 Somewhat less consistent results were obtained when comparing the VR intervention with an alternative intervention. While Pluchino et al43 reported no significant effect on performance measures in either treatment group for the forward reach test and the Tinetti static test,43 Reed-Jones et al44 reported comparable improvements in both the VR-based and non-VR-based interventions for the chair stand test, the six-minute walk test, the forward reach test, the obstacle course test, and the Tinetti static test, and Singh et al reported comparable results for the ten-step test.38 A positive effect on postural sway measures were noted in three39,43,45 of four studies.40 Finally, the results of the balance self-efficacy questionnaires indicated improved self-confidence following Wii-based training in two studies,40,41 no significant improvement in one,43 and comparable positive results when the effect of Wii-based training was compared with an alternative exercise program.38
null
null
[ "Introduction", "Methods", "Search strategy", "Study inclusion and exclusion criteria", "Data extraction", "Quality assessment", "Methodological quality", "VR intervention", "Control interventions", "Duration and number of treatments", "Outcome measures", "Treatment effect" ]
[ "Approximately one third of individuals aged 65 years or older experience at least one fall a year,1,2 with over 40% of falls resulting in significant physical injury or death.3 Fall-related injuries, as well as fear of falling, contribute to reduced mobility, which curtails an individual’s participation in daily activities, leading ultimately to a decline in quality of life.3,4 With increased life expectancy in developed countries, fall prevention has become an urgent global health challenge.5\nCauses of falls are multifaceted and their prevention requires a comprehensive, multidimensional treatment strategy.2,6–8 It is well documented that some of the risk factors for falls related to the neuromuscular system, such as impaired balance and gait as well as reduced muscle strength, can be modified by appropriate exercise programs.9–11 A systematic review aimed at establishing whether particular components of an exercise program are associated with a greater decrease in falls determined that larger relative effects on fall prevention are seen in programs that include exercises focusing on balance control.12 Thus, intervention programs incorporating exercises that challenge balance, such as Tai Chi exercises, have been shown to reduce the risk of falls among older adults.13,14 The intensity of the balance-focused exercise program and the need to adhere to it throughout one’s lifetime are crucial for successful fall prevention.12 Therefore, intervention programs must be designed to encourage exercise compliance by stimulating motivation and being easily accessible, while at the same time having no adverse effects.\nVirtual reality (VR) computer-based technology provides the user with opportunities to interact with virtual objects and events that simulate the real world.15,16 By offering the user the opportunity to interact with a variety of engaging activities, some of which may be too risky when practiced in the real world, VR technology can encourage repetitive task-specific behavior graded to the competence level of the user, while providing the feedback necessary for effective motor learning.17,18 Thus, VR-based exercise can provide experiential, active learning opportunities that are fun, motivating, and challenging whilst being safe and ecologically valid.17 Due to its potential as a means to enhance motor and cognitive learning, VR technology is emerging as a rehabilitation tool for individuals with a variety of physical disabilities, including stroke,19 Parkinson’s disease,20 and cerebral palsy.21\nThe use of VR technology has rapidly expanded in the last decade, with the introduction of off-the-shelf commercial consoles and games. Although these systems were developed for entertainment purposes, they have evolved as a means to encourage fitness exercise (termed exergames) in the general population.22,23 As commercial systems are much less expensive than custom-developed rehabilitation tools, off-the-shelf systems are also gaining popularity as treatment modalities for motor and cognitive rehabilitation of subjects with a variety of orthopedic and neurological impairments.24–26 Of the four best known commercial systems (Nintendo Wii, Dance Dance Revolution, Playstation EyeToy, and Microsoft Kinect),27,28 Nintendo Wii is the most popular system applied for rehabilitation purposes. Thus, a recent systematic review of commercial systems used for rehabilitation of the upper limb following a stroke identified ten studies that utilized the Nintendo Wii and only two that used the PlayStation Eye Toy.29 In a similar systematic review regarding the use of VR in Parkinson’s disease, all six studies identified utilized the Nintendo Wii system.30 A recent audit by the National Stroke Foundation of Australia found that 84 of 111 (76%) metropolitan stroke rehabilitation hospitals purchased a Nintendo Wii console.31 Further, in a preliminary literature review, we did not identify any randomized controlled studies on the effects of VR-based interventions on balance control in older adults with commercial systems other than the Nintendo Wii.\nThe popularity of this system is probably due to the variety of video games enabled through both the Wii Remote (Wiimote) and the Wii Balance Board (Nintendo of America Inc., Redmond, WA, USA) peripheral devices. The Wiimote incorporates three-dimensional accelerometer technology that tracks arm movements and can be used, for example, to encourage players to mimic movements performed in real-life sports, such as swinging a tennis racquet. The Wii Balance Board is a platform device capable of monitoring changes in the individual’s center of pressure. It is employed in conjunction with Wii Fit software and uses an avatar to provide feedback regarding changes in one’s center of pressure throughout a variety of interactive games. Both peripheral devices can be used in games that challenge an individual’s balance capabilities, while providing appropriate visual and auditory feedback regarding balance performance.\nSince the Wii gaming console was introduced to the market in 2006, there has been a growing interest in its potential for balance training in older adults. Whereas preliminary studies involved only single-case designs32,33 or single-group designs (with no control group),34,35 a number of studies of higher methodological quality have been published in the last few years. The primary objective of the present study was to systematically review randomized controlled trials that examined the effects of intervention programs utilizing the Nintendo Wii console on balance control in independently functioning older adults. The success of such interventions was reviewed in comparison with alternative exercise programs, as well as with no exercise intervention. The present review was written in accordance with the guidelines recommended by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) statement.36", " Search strategy An online search of the PubMed (since 1966), CINAHL (since 1982), PEDro, EMBASE (since 1974), SPORTdiscus (since 1930), and Google Scholar databases was performed independently by two of the authors (YL, EK). The last full search was conducted in June 2014. The electronic search was completed by a hand search of bibliographic references of the included studies.\nThe search terms used were: “virtual reality”, “video game”, “exergame”, and “Wii Fit”, crossed with “balance”, “postural control”, or “falls”. The search was restricted to the English language. The search was initially conducted by two of the authors independently (YL, EK) and finalized by the authors in collaboration. Duplicate publications were removed after all databases and reference lists were searched. The titles and abstracts of all identified articles were reviewed, with the full article reviewed whenever deemed necessary to finalize a decision about inclusion.\nAn online search of the PubMed (since 1966), CINAHL (since 1982), PEDro, EMBASE (since 1974), SPORTdiscus (since 1930), and Google Scholar databases was performed independently by two of the authors (YL, EK). The last full search was conducted in June 2014. The electronic search was completed by a hand search of bibliographic references of the included studies.\nThe search terms used were: “virtual reality”, “video game”, “exergame”, and “Wii Fit”, crossed with “balance”, “postural control”, or “falls”. The search was restricted to the English language. The search was initially conducted by two of the authors independently (YL, EK) and finalized by the authors in collaboration. Duplicate publications were removed after all databases and reference lists were searched. The titles and abstracts of all identified articles were reviewed, with the full article reviewed whenever deemed necessary to finalize a decision about inclusion.\n Study inclusion and exclusion criteria The authors screened all selected citations independently. Study inclusion criteria were:\nRandomized controlled trials appearing in refereed journals.\nTrials in which a VR exergame based on Nintendo Wii was used to enhance standing balance performance in comparison with an alternative exercise treatment that did not involve VR or interactive computer gaming, or in comparison with a placebo treatment, or with no treatment at all. In cases where a conventional exercise program was added to the Wii-based intervention, the article was included only if the same conventional program was offered to the control group.\nParticipants were adults aged 55 years or older living in the community or independently in retirement centers.\nParticipants were referred to the VR intervention primarily to improve standing/walking balance control.\nParticipants were without cognitive impairment and were able to ambulate independently with/out assistive devices, with/out a history of falls.\nA report of at least one outcome measure assessing standing/walking balance capabilities, fall incidence, or fall efficacy.\nExclusion criteria were:\nStudies designed to address populations with specific neurological (ie, stroke, Parkinson’s disease, and multiple sclerosis), metabolic (ie, diabetes), or musculoskeletal (ie, rheumatoid arthritis) deficits that might impair balance control.\nStudies with a PEDro score of ≤4.\nStudies with less than six participants in each intervention group.\nStudies in which no inferential statistics were reported.\nStudies reported in conference proceedings, posters, theses, or dissertations.\nThe authors screened all selected citations independently. Study inclusion criteria were:\nRandomized controlled trials appearing in refereed journals.\nTrials in which a VR exergame based on Nintendo Wii was used to enhance standing balance performance in comparison with an alternative exercise treatment that did not involve VR or interactive computer gaming, or in comparison with a placebo treatment, or with no treatment at all. In cases where a conventional exercise program was added to the Wii-based intervention, the article was included only if the same conventional program was offered to the control group.\nParticipants were adults aged 55 years or older living in the community or independently in retirement centers.\nParticipants were referred to the VR intervention primarily to improve standing/walking balance control.\nParticipants were without cognitive impairment and were able to ambulate independently with/out assistive devices, with/out a history of falls.\nA report of at least one outcome measure assessing standing/walking balance capabilities, fall incidence, or fall efficacy.\nExclusion criteria were:\nStudies designed to address populations with specific neurological (ie, stroke, Parkinson’s disease, and multiple sclerosis), metabolic (ie, diabetes), or musculoskeletal (ie, rheumatoid arthritis) deficits that might impair balance control.\nStudies with a PEDro score of ≤4.\nStudies with less than six participants in each intervention group.\nStudies in which no inferential statistics were reported.\nStudies reported in conference proceedings, posters, theses, or dissertations.\n Data extraction A data extraction form was developed by the reviewers that included the following details: number of male and female subjects in each treatment group; subjects’ mean age (standard deviation [SD]) per group; type of Wii peripherals and Wii games used; type of control group intervention; subjects’ residence, location of intervention; provision of supervision during intervention; number of treatments per week; number of treatment weeks; duration of each treatment; statistical analyses employed; outcome measures assessed; and statistically significant changes per outcome measure. Each author extracted the data independently, and differences between the reviewers in regard to the data summary were discussed and resolved in a face-to-face meeting.\nA data extraction form was developed by the reviewers that included the following details: number of male and female subjects in each treatment group; subjects’ mean age (standard deviation [SD]) per group; type of Wii peripherals and Wii games used; type of control group intervention; subjects’ residence, location of intervention; provision of supervision during intervention; number of treatments per week; number of treatment weeks; duration of each treatment; statistical analyses employed; outcome measures assessed; and statistically significant changes per outcome measure. Each author extracted the data independently, and differences between the reviewers in regard to the data summary were discussed and resolved in a face-to-face meeting.\n Quality assessment The methodological quality of the included studies was assessed in accordance with the PEDro classification scale, providing a score between 0 to 10.37 The PEDro ratings, which are provided by the Centre for Evidence-Based Physiotherapy at the George Institute for Global Health (http://ptwww.cchs.usyd.edu.au/), were used whenever available. Studies for which a PEDro score was not published were scored independently by the authors, with discrepancies discussed in a face-to-face meeting and resolved by agreement. Due to the nature of the studies, blindness of the subjects or the individuals providing the treatment was not possible; hence, the maximum possible score was 8. Studies were rated between excellent and poor on the basis of the PEDro score as follows: 8–7 (excellent), 6 (good), and 4–5 (fair).\nThe methodological quality of the included studies was assessed in accordance with the PEDro classification scale, providing a score between 0 to 10.37 The PEDro ratings, which are provided by the Centre for Evidence-Based Physiotherapy at the George Institute for Global Health (http://ptwww.cchs.usyd.edu.au/), were used whenever available. Studies for which a PEDro score was not published were scored independently by the authors, with discrepancies discussed in a face-to-face meeting and resolved by agreement. Due to the nature of the studies, blindness of the subjects or the individuals providing the treatment was not possible; hence, the maximum possible score was 8. Studies were rated between excellent and poor on the basis of the PEDro score as follows: 8–7 (excellent), 6 (good), and 4–5 (fair).", "An online search of the PubMed (since 1966), CINAHL (since 1982), PEDro, EMBASE (since 1974), SPORTdiscus (since 1930), and Google Scholar databases was performed independently by two of the authors (YL, EK). The last full search was conducted in June 2014. The electronic search was completed by a hand search of bibliographic references of the included studies.\nThe search terms used were: “virtual reality”, “video game”, “exergame”, and “Wii Fit”, crossed with “balance”, “postural control”, or “falls”. The search was restricted to the English language. The search was initially conducted by two of the authors independently (YL, EK) and finalized by the authors in collaboration. Duplicate publications were removed after all databases and reference lists were searched. The titles and abstracts of all identified articles were reviewed, with the full article reviewed whenever deemed necessary to finalize a decision about inclusion.", "The authors screened all selected citations independently. Study inclusion criteria were:\nRandomized controlled trials appearing in refereed journals.\nTrials in which a VR exergame based on Nintendo Wii was used to enhance standing balance performance in comparison with an alternative exercise treatment that did not involve VR or interactive computer gaming, or in comparison with a placebo treatment, or with no treatment at all. In cases where a conventional exercise program was added to the Wii-based intervention, the article was included only if the same conventional program was offered to the control group.\nParticipants were adults aged 55 years or older living in the community or independently in retirement centers.\nParticipants were referred to the VR intervention primarily to improve standing/walking balance control.\nParticipants were without cognitive impairment and were able to ambulate independently with/out assistive devices, with/out a history of falls.\nA report of at least one outcome measure assessing standing/walking balance capabilities, fall incidence, or fall efficacy.\nExclusion criteria were:\nStudies designed to address populations with specific neurological (ie, stroke, Parkinson’s disease, and multiple sclerosis), metabolic (ie, diabetes), or musculoskeletal (ie, rheumatoid arthritis) deficits that might impair balance control.\nStudies with a PEDro score of ≤4.\nStudies with less than six participants in each intervention group.\nStudies in which no inferential statistics were reported.\nStudies reported in conference proceedings, posters, theses, or dissertations.", "A data extraction form was developed by the reviewers that included the following details: number of male and female subjects in each treatment group; subjects’ mean age (standard deviation [SD]) per group; type of Wii peripherals and Wii games used; type of control group intervention; subjects’ residence, location of intervention; provision of supervision during intervention; number of treatments per week; number of treatment weeks; duration of each treatment; statistical analyses employed; outcome measures assessed; and statistically significant changes per outcome measure. Each author extracted the data independently, and differences between the reviewers in regard to the data summary were discussed and resolved in a face-to-face meeting.", "The methodological quality of the included studies was assessed in accordance with the PEDro classification scale, providing a score between 0 to 10.37 The PEDro ratings, which are provided by the Centre for Evidence-Based Physiotherapy at the George Institute for Global Health (http://ptwww.cchs.usyd.edu.au/), were used whenever available. Studies for which a PEDro score was not published were scored independently by the authors, with discrepancies discussed in a face-to-face meeting and resolved by agreement. Due to the nature of the studies, blindness of the subjects or the individuals providing the treatment was not possible; hence, the maximum possible score was 8. Studies were rated between excellent and poor on the basis of the PEDro score as follows: 8–7 (excellent), 6 (good), and 4–5 (fair).", "The methodological quality of the included papers according to the PEDro classification scale is presented in Table 2. The mean PEDro score was 5.57 (SD 0.78), with one study graded excellent (score 7/10),40 two good (score 6/10),38–41 and the rest fair (score 5/10).42–45\nFour items were scored positive in all studies: “eligibility criteria”, “random allocation”, “baseline comparability”, “point estimates and variability”, and “adequate follow-up”, while “between group comparison” was scored positive in most of the studies. In contrast, blindness of the participants or the therapists was impossible due to the nature of the studies, and only three studies maintained blindness of the assessor.38–41 Finally, “concealed allocation”43,45 and “intention to treat” were rated positive in only two studies.40,41", "The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study.\nA variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters.\nAll the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis.", "Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies.", "The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes.", "Assessments were carried out pre-intervention and immediately post-intervention in all the studies. An additional mid-term assessment was conducted in only one study.44 No study included follow-up assessments.\nAll of the studies employed at least one outcome measure that examined change in functional balance performance. The most frequently used measure was the Timed Up and Go (TUG) test, which was tested in all but one study that used unipedal stance time (eyes open and closed) and the Tinetti Balance test instead.45 While two studies did not include any additional functional tests,41,42 most studies incorporated additional clinical tests, such as the chair stand test, which is considered both a functional test and a general assessment of lower extremity strength.40,42,44 Other clinical tests included were the functional reach test,43,44 the Tinetti Balance test,43,45 the one-leg stance test,43,45 obstacle course completion,44 and the ten-step test.38 In addition to clinical balance tests, four studies incorporated instrumented measures of postural sway.38,40,43,45\nSince no follow-up tests were included, none of the studies demonstrated a treatment effect on fall frequency. However, two studies included questionnaires examining treatment effect on fall risk,38,43 and four used a questionnaire38,40,41,43 to evaluate the intervention effect on fear of falling, which has been shown to be related to activity limitations and fall risk.46,47\nOther performance measures examined were fitness and muscle strength. The six-minute walk test was used to examine treatment effect on activity endurance in two studies42,44 and one study incorporated a senior fitness test.44 Effect on muscle strength was evaluated in three studies.40,42,44 Finally, measures of cognitive performance42 and depression were tested in only one study.41", "Due to methodological variability and insufficient data, the effects of Wii-based training could not be pooled for a meta-analysis. Thus, for example, while TUG was the most frequently used test, incorporated in all but one study,45 the distance walked in each direction was 3 meters in three studies39,40,43 and 8 feet in three studies.41,42,44 These differences, as well as insufficient data in two of the studies,41,42 along with different control interventions made it impossible to perform a meta-analysis.\nAll four studies comparing the VR group with no treatment or with a sham treatment indicated that VR training had a significant positive effect on the TUG test.40–42,45 Among the three studies that compared the Wii-based program with a different exercise program, Pluchino et al43 reported no significant improvement in TUG for either treatment group, similar improvements in both groups were noted by Reed-Jones et al44 and greater improvements in TUG were reported for the group receiving an alternative exercise program in the third study.39\nSignificantly greater effects were noted for the VR group when compared with a control group in the chair stand test,40,42 the six-minute walk test,42 and the Tinetti static test.45 Somewhat less consistent results were obtained when comparing the VR intervention with an alternative intervention. While Pluchino et al43 reported no significant effect on performance measures in either treatment group for the forward reach test and the Tinetti static test,43 Reed-Jones et al44 reported comparable improvements in both the VR-based and non-VR-based interventions for the chair stand test, the six-minute walk test, the forward reach test, the obstacle course test, and the Tinetti static test, and Singh et al reported comparable results for the ten-step test.38 A positive effect on postural sway measures were noted in three39,43,45 of four studies.40 Finally, the results of the balance self-efficacy questionnaires indicated improved self-confidence following Wii-based training in two studies,40,41 no significant improvement in one,43 and comparable positive results when the effect of Wii-based training was compared with an alternative exercise program.38" ]
[ "intro", "methods", null, "methods", "methods", null, null, null, null, null, null, null ]
[ "Introduction", "Methods", "Search strategy", "Study inclusion and exclusion criteria", "Data extraction", "Quality assessment", "Results", "Study selection", "Methodological quality", "Characteristics of included studies", "Subjects", "VR intervention", "Control interventions", "Duration and number of treatments", "Outcome measures", "Treatment effect", "Discussion" ]
[ "Approximately one third of individuals aged 65 years or older experience at least one fall a year,1,2 with over 40% of falls resulting in significant physical injury or death.3 Fall-related injuries, as well as fear of falling, contribute to reduced mobility, which curtails an individual’s participation in daily activities, leading ultimately to a decline in quality of life.3,4 With increased life expectancy in developed countries, fall prevention has become an urgent global health challenge.5\nCauses of falls are multifaceted and their prevention requires a comprehensive, multidimensional treatment strategy.2,6–8 It is well documented that some of the risk factors for falls related to the neuromuscular system, such as impaired balance and gait as well as reduced muscle strength, can be modified by appropriate exercise programs.9–11 A systematic review aimed at establishing whether particular components of an exercise program are associated with a greater decrease in falls determined that larger relative effects on fall prevention are seen in programs that include exercises focusing on balance control.12 Thus, intervention programs incorporating exercises that challenge balance, such as Tai Chi exercises, have been shown to reduce the risk of falls among older adults.13,14 The intensity of the balance-focused exercise program and the need to adhere to it throughout one’s lifetime are crucial for successful fall prevention.12 Therefore, intervention programs must be designed to encourage exercise compliance by stimulating motivation and being easily accessible, while at the same time having no adverse effects.\nVirtual reality (VR) computer-based technology provides the user with opportunities to interact with virtual objects and events that simulate the real world.15,16 By offering the user the opportunity to interact with a variety of engaging activities, some of which may be too risky when practiced in the real world, VR technology can encourage repetitive task-specific behavior graded to the competence level of the user, while providing the feedback necessary for effective motor learning.17,18 Thus, VR-based exercise can provide experiential, active learning opportunities that are fun, motivating, and challenging whilst being safe and ecologically valid.17 Due to its potential as a means to enhance motor and cognitive learning, VR technology is emerging as a rehabilitation tool for individuals with a variety of physical disabilities, including stroke,19 Parkinson’s disease,20 and cerebral palsy.21\nThe use of VR technology has rapidly expanded in the last decade, with the introduction of off-the-shelf commercial consoles and games. Although these systems were developed for entertainment purposes, they have evolved as a means to encourage fitness exercise (termed exergames) in the general population.22,23 As commercial systems are much less expensive than custom-developed rehabilitation tools, off-the-shelf systems are also gaining popularity as treatment modalities for motor and cognitive rehabilitation of subjects with a variety of orthopedic and neurological impairments.24–26 Of the four best known commercial systems (Nintendo Wii, Dance Dance Revolution, Playstation EyeToy, and Microsoft Kinect),27,28 Nintendo Wii is the most popular system applied for rehabilitation purposes. Thus, a recent systematic review of commercial systems used for rehabilitation of the upper limb following a stroke identified ten studies that utilized the Nintendo Wii and only two that used the PlayStation Eye Toy.29 In a similar systematic review regarding the use of VR in Parkinson’s disease, all six studies identified utilized the Nintendo Wii system.30 A recent audit by the National Stroke Foundation of Australia found that 84 of 111 (76%) metropolitan stroke rehabilitation hospitals purchased a Nintendo Wii console.31 Further, in a preliminary literature review, we did not identify any randomized controlled studies on the effects of VR-based interventions on balance control in older adults with commercial systems other than the Nintendo Wii.\nThe popularity of this system is probably due to the variety of video games enabled through both the Wii Remote (Wiimote) and the Wii Balance Board (Nintendo of America Inc., Redmond, WA, USA) peripheral devices. The Wiimote incorporates three-dimensional accelerometer technology that tracks arm movements and can be used, for example, to encourage players to mimic movements performed in real-life sports, such as swinging a tennis racquet. The Wii Balance Board is a platform device capable of monitoring changes in the individual’s center of pressure. It is employed in conjunction with Wii Fit software and uses an avatar to provide feedback regarding changes in one’s center of pressure throughout a variety of interactive games. Both peripheral devices can be used in games that challenge an individual’s balance capabilities, while providing appropriate visual and auditory feedback regarding balance performance.\nSince the Wii gaming console was introduced to the market in 2006, there has been a growing interest in its potential for balance training in older adults. Whereas preliminary studies involved only single-case designs32,33 or single-group designs (with no control group),34,35 a number of studies of higher methodological quality have been published in the last few years. The primary objective of the present study was to systematically review randomized controlled trials that examined the effects of intervention programs utilizing the Nintendo Wii console on balance control in independently functioning older adults. The success of such interventions was reviewed in comparison with alternative exercise programs, as well as with no exercise intervention. The present review was written in accordance with the guidelines recommended by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) statement.36", " Search strategy An online search of the PubMed (since 1966), CINAHL (since 1982), PEDro, EMBASE (since 1974), SPORTdiscus (since 1930), and Google Scholar databases was performed independently by two of the authors (YL, EK). The last full search was conducted in June 2014. The electronic search was completed by a hand search of bibliographic references of the included studies.\nThe search terms used were: “virtual reality”, “video game”, “exergame”, and “Wii Fit”, crossed with “balance”, “postural control”, or “falls”. The search was restricted to the English language. The search was initially conducted by two of the authors independently (YL, EK) and finalized by the authors in collaboration. Duplicate publications were removed after all databases and reference lists were searched. The titles and abstracts of all identified articles were reviewed, with the full article reviewed whenever deemed necessary to finalize a decision about inclusion.\nAn online search of the PubMed (since 1966), CINAHL (since 1982), PEDro, EMBASE (since 1974), SPORTdiscus (since 1930), and Google Scholar databases was performed independently by two of the authors (YL, EK). The last full search was conducted in June 2014. The electronic search was completed by a hand search of bibliographic references of the included studies.\nThe search terms used were: “virtual reality”, “video game”, “exergame”, and “Wii Fit”, crossed with “balance”, “postural control”, or “falls”. The search was restricted to the English language. The search was initially conducted by two of the authors independently (YL, EK) and finalized by the authors in collaboration. Duplicate publications were removed after all databases and reference lists were searched. The titles and abstracts of all identified articles were reviewed, with the full article reviewed whenever deemed necessary to finalize a decision about inclusion.\n Study inclusion and exclusion criteria The authors screened all selected citations independently. Study inclusion criteria were:\nRandomized controlled trials appearing in refereed journals.\nTrials in which a VR exergame based on Nintendo Wii was used to enhance standing balance performance in comparison with an alternative exercise treatment that did not involve VR or interactive computer gaming, or in comparison with a placebo treatment, or with no treatment at all. In cases where a conventional exercise program was added to the Wii-based intervention, the article was included only if the same conventional program was offered to the control group.\nParticipants were adults aged 55 years or older living in the community or independently in retirement centers.\nParticipants were referred to the VR intervention primarily to improve standing/walking balance control.\nParticipants were without cognitive impairment and were able to ambulate independently with/out assistive devices, with/out a history of falls.\nA report of at least one outcome measure assessing standing/walking balance capabilities, fall incidence, or fall efficacy.\nExclusion criteria were:\nStudies designed to address populations with specific neurological (ie, stroke, Parkinson’s disease, and multiple sclerosis), metabolic (ie, diabetes), or musculoskeletal (ie, rheumatoid arthritis) deficits that might impair balance control.\nStudies with a PEDro score of ≤4.\nStudies with less than six participants in each intervention group.\nStudies in which no inferential statistics were reported.\nStudies reported in conference proceedings, posters, theses, or dissertations.\nThe authors screened all selected citations independently. Study inclusion criteria were:\nRandomized controlled trials appearing in refereed journals.\nTrials in which a VR exergame based on Nintendo Wii was used to enhance standing balance performance in comparison with an alternative exercise treatment that did not involve VR or interactive computer gaming, or in comparison with a placebo treatment, or with no treatment at all. In cases where a conventional exercise program was added to the Wii-based intervention, the article was included only if the same conventional program was offered to the control group.\nParticipants were adults aged 55 years or older living in the community or independently in retirement centers.\nParticipants were referred to the VR intervention primarily to improve standing/walking balance control.\nParticipants were without cognitive impairment and were able to ambulate independently with/out assistive devices, with/out a history of falls.\nA report of at least one outcome measure assessing standing/walking balance capabilities, fall incidence, or fall efficacy.\nExclusion criteria were:\nStudies designed to address populations with specific neurological (ie, stroke, Parkinson’s disease, and multiple sclerosis), metabolic (ie, diabetes), or musculoskeletal (ie, rheumatoid arthritis) deficits that might impair balance control.\nStudies with a PEDro score of ≤4.\nStudies with less than six participants in each intervention group.\nStudies in which no inferential statistics were reported.\nStudies reported in conference proceedings, posters, theses, or dissertations.\n Data extraction A data extraction form was developed by the reviewers that included the following details: number of male and female subjects in each treatment group; subjects’ mean age (standard deviation [SD]) per group; type of Wii peripherals and Wii games used; type of control group intervention; subjects’ residence, location of intervention; provision of supervision during intervention; number of treatments per week; number of treatment weeks; duration of each treatment; statistical analyses employed; outcome measures assessed; and statistically significant changes per outcome measure. Each author extracted the data independently, and differences between the reviewers in regard to the data summary were discussed and resolved in a face-to-face meeting.\nA data extraction form was developed by the reviewers that included the following details: number of male and female subjects in each treatment group; subjects’ mean age (standard deviation [SD]) per group; type of Wii peripherals and Wii games used; type of control group intervention; subjects’ residence, location of intervention; provision of supervision during intervention; number of treatments per week; number of treatment weeks; duration of each treatment; statistical analyses employed; outcome measures assessed; and statistically significant changes per outcome measure. Each author extracted the data independently, and differences between the reviewers in regard to the data summary were discussed and resolved in a face-to-face meeting.\n Quality assessment The methodological quality of the included studies was assessed in accordance with the PEDro classification scale, providing a score between 0 to 10.37 The PEDro ratings, which are provided by the Centre for Evidence-Based Physiotherapy at the George Institute for Global Health (http://ptwww.cchs.usyd.edu.au/), were used whenever available. Studies for which a PEDro score was not published were scored independently by the authors, with discrepancies discussed in a face-to-face meeting and resolved by agreement. Due to the nature of the studies, blindness of the subjects or the individuals providing the treatment was not possible; hence, the maximum possible score was 8. Studies were rated between excellent and poor on the basis of the PEDro score as follows: 8–7 (excellent), 6 (good), and 4–5 (fair).\nThe methodological quality of the included studies was assessed in accordance with the PEDro classification scale, providing a score between 0 to 10.37 The PEDro ratings, which are provided by the Centre for Evidence-Based Physiotherapy at the George Institute for Global Health (http://ptwww.cchs.usyd.edu.au/), were used whenever available. Studies for which a PEDro score was not published were scored independently by the authors, with discrepancies discussed in a face-to-face meeting and resolved by agreement. Due to the nature of the studies, blindness of the subjects or the individuals providing the treatment was not possible; hence, the maximum possible score was 8. Studies were rated between excellent and poor on the basis of the PEDro score as follows: 8–7 (excellent), 6 (good), and 4–5 (fair).", "An online search of the PubMed (since 1966), CINAHL (since 1982), PEDro, EMBASE (since 1974), SPORTdiscus (since 1930), and Google Scholar databases was performed independently by two of the authors (YL, EK). The last full search was conducted in June 2014. The electronic search was completed by a hand search of bibliographic references of the included studies.\nThe search terms used were: “virtual reality”, “video game”, “exergame”, and “Wii Fit”, crossed with “balance”, “postural control”, or “falls”. The search was restricted to the English language. The search was initially conducted by two of the authors independently (YL, EK) and finalized by the authors in collaboration. Duplicate publications were removed after all databases and reference lists were searched. The titles and abstracts of all identified articles were reviewed, with the full article reviewed whenever deemed necessary to finalize a decision about inclusion.", "The authors screened all selected citations independently. Study inclusion criteria were:\nRandomized controlled trials appearing in refereed journals.\nTrials in which a VR exergame based on Nintendo Wii was used to enhance standing balance performance in comparison with an alternative exercise treatment that did not involve VR or interactive computer gaming, or in comparison with a placebo treatment, or with no treatment at all. In cases where a conventional exercise program was added to the Wii-based intervention, the article was included only if the same conventional program was offered to the control group.\nParticipants were adults aged 55 years or older living in the community or independently in retirement centers.\nParticipants were referred to the VR intervention primarily to improve standing/walking balance control.\nParticipants were without cognitive impairment and were able to ambulate independently with/out assistive devices, with/out a history of falls.\nA report of at least one outcome measure assessing standing/walking balance capabilities, fall incidence, or fall efficacy.\nExclusion criteria were:\nStudies designed to address populations with specific neurological (ie, stroke, Parkinson’s disease, and multiple sclerosis), metabolic (ie, diabetes), or musculoskeletal (ie, rheumatoid arthritis) deficits that might impair balance control.\nStudies with a PEDro score of ≤4.\nStudies with less than six participants in each intervention group.\nStudies in which no inferential statistics were reported.\nStudies reported in conference proceedings, posters, theses, or dissertations.", "A data extraction form was developed by the reviewers that included the following details: number of male and female subjects in each treatment group; subjects’ mean age (standard deviation [SD]) per group; type of Wii peripherals and Wii games used; type of control group intervention; subjects’ residence, location of intervention; provision of supervision during intervention; number of treatments per week; number of treatment weeks; duration of each treatment; statistical analyses employed; outcome measures assessed; and statistically significant changes per outcome measure. Each author extracted the data independently, and differences between the reviewers in regard to the data summary were discussed and resolved in a face-to-face meeting.", "The methodological quality of the included studies was assessed in accordance with the PEDro classification scale, providing a score between 0 to 10.37 The PEDro ratings, which are provided by the Centre for Evidence-Based Physiotherapy at the George Institute for Global Health (http://ptwww.cchs.usyd.edu.au/), were used whenever available. Studies for which a PEDro score was not published were scored independently by the authors, with discrepancies discussed in a face-to-face meeting and resolved by agreement. Due to the nature of the studies, blindness of the subjects or the individuals providing the treatment was not possible; hence, the maximum possible score was 8. Studies were rated between excellent and poor on the basis of the PEDro score as follows: 8–7 (excellent), 6 (good), and 4–5 (fair).", " Study selection Initial screening resulted in a total of 351 papers, of which 39 were considered relevant on the basis of their title and abstract. Full text review of these studies indicated that eight randomized controlled trials met all the inclusion criteria for review. Two of these articles were considered as a single study, since consultation with their primary author determined that they reported different outcome measures obtained from the same data set.38,39 Thus, the final review included seven randomized controlled trials. The selection process for the studies included in this systematic review is presented in Figure 1. Characteristics of the final seven studies retrieved are summarized in Table 1.\nInitial screening resulted in a total of 351 papers, of which 39 were considered relevant on the basis of their title and abstract. Full text review of these studies indicated that eight randomized controlled trials met all the inclusion criteria for review. Two of these articles were considered as a single study, since consultation with their primary author determined that they reported different outcome measures obtained from the same data set.38,39 Thus, the final review included seven randomized controlled trials. The selection process for the studies included in this systematic review is presented in Figure 1. Characteristics of the final seven studies retrieved are summarized in Table 1.\n Methodological quality The methodological quality of the included papers according to the PEDro classification scale is presented in Table 2. The mean PEDro score was 5.57 (SD 0.78), with one study graded excellent (score 7/10),40 two good (score 6/10),38–41 and the rest fair (score 5/10).42–45\nFour items were scored positive in all studies: “eligibility criteria”, “random allocation”, “baseline comparability”, “point estimates and variability”, and “adequate follow-up”, while “between group comparison” was scored positive in most of the studies. In contrast, blindness of the participants or the therapists was impossible due to the nature of the studies, and only three studies maintained blindness of the assessor.38–41 Finally, “concealed allocation”43,45 and “intention to treat” were rated positive in only two studies.40,41\nThe methodological quality of the included papers according to the PEDro classification scale is presented in Table 2. The mean PEDro score was 5.57 (SD 0.78), with one study graded excellent (score 7/10),40 two good (score 6/10),38–41 and the rest fair (score 5/10).42–45\nFour items were scored positive in all studies: “eligibility criteria”, “random allocation”, “baseline comparability”, “point estimates and variability”, and “adequate follow-up”, while “between group comparison” was scored positive in most of the studies. In contrast, blindness of the participants or the therapists was impossible due to the nature of the studies, and only three studies maintained blindness of the assessor.38–41 Finally, “concealed allocation”43,45 and “intention to treat” were rated positive in only two studies.40,41\n Characteristics of included studies Subjects The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45\nThe seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45\n VR intervention The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study.\nA variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters.\nAll the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis.\nThe majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study.\nA variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters.\nAll the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis.\n Control interventions Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies.\nOnly in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies.\n Duration and number of treatments The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes.\nThe duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes.\n Subjects The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45\nThe seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45\n VR intervention The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study.\nA variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters.\nAll the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis.\nThe majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study.\nA variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters.\nAll the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis.\n Control interventions Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies.\nOnly in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies.\n Duration and number of treatments The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes.\nThe duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes.\n Outcome measures Assessments were carried out pre-intervention and immediately post-intervention in all the studies. An additional mid-term assessment was conducted in only one study.44 No study included follow-up assessments.\nAll of the studies employed at least one outcome measure that examined change in functional balance performance. The most frequently used measure was the Timed Up and Go (TUG) test, which was tested in all but one study that used unipedal stance time (eyes open and closed) and the Tinetti Balance test instead.45 While two studies did not include any additional functional tests,41,42 most studies incorporated additional clinical tests, such as the chair stand test, which is considered both a functional test and a general assessment of lower extremity strength.40,42,44 Other clinical tests included were the functional reach test,43,44 the Tinetti Balance test,43,45 the one-leg stance test,43,45 obstacle course completion,44 and the ten-step test.38 In addition to clinical balance tests, four studies incorporated instrumented measures of postural sway.38,40,43,45\nSince no follow-up tests were included, none of the studies demonstrated a treatment effect on fall frequency. However, two studies included questionnaires examining treatment effect on fall risk,38,43 and four used a questionnaire38,40,41,43 to evaluate the intervention effect on fear of falling, which has been shown to be related to activity limitations and fall risk.46,47\nOther performance measures examined were fitness and muscle strength. The six-minute walk test was used to examine treatment effect on activity endurance in two studies42,44 and one study incorporated a senior fitness test.44 Effect on muscle strength was evaluated in three studies.40,42,44 Finally, measures of cognitive performance42 and depression were tested in only one study.41\nAssessments were carried out pre-intervention and immediately post-intervention in all the studies. An additional mid-term assessment was conducted in only one study.44 No study included follow-up assessments.\nAll of the studies employed at least one outcome measure that examined change in functional balance performance. The most frequently used measure was the Timed Up and Go (TUG) test, which was tested in all but one study that used unipedal stance time (eyes open and closed) and the Tinetti Balance test instead.45 While two studies did not include any additional functional tests,41,42 most studies incorporated additional clinical tests, such as the chair stand test, which is considered both a functional test and a general assessment of lower extremity strength.40,42,44 Other clinical tests included were the functional reach test,43,44 the Tinetti Balance test,43,45 the one-leg stance test,43,45 obstacle course completion,44 and the ten-step test.38 In addition to clinical balance tests, four studies incorporated instrumented measures of postural sway.38,40,43,45\nSince no follow-up tests were included, none of the studies demonstrated a treatment effect on fall frequency. However, two studies included questionnaires examining treatment effect on fall risk,38,43 and four used a questionnaire38,40,41,43 to evaluate the intervention effect on fear of falling, which has been shown to be related to activity limitations and fall risk.46,47\nOther performance measures examined were fitness and muscle strength. The six-minute walk test was used to examine treatment effect on activity endurance in two studies42,44 and one study incorporated a senior fitness test.44 Effect on muscle strength was evaluated in three studies.40,42,44 Finally, measures of cognitive performance42 and depression were tested in only one study.41\n Treatment effect Due to methodological variability and insufficient data, the effects of Wii-based training could not be pooled for a meta-analysis. Thus, for example, while TUG was the most frequently used test, incorporated in all but one study,45 the distance walked in each direction was 3 meters in three studies39,40,43 and 8 feet in three studies.41,42,44 These differences, as well as insufficient data in two of the studies,41,42 along with different control interventions made it impossible to perform a meta-analysis.\nAll four studies comparing the VR group with no treatment or with a sham treatment indicated that VR training had a significant positive effect on the TUG test.40–42,45 Among the three studies that compared the Wii-based program with a different exercise program, Pluchino et al43 reported no significant improvement in TUG for either treatment group, similar improvements in both groups were noted by Reed-Jones et al44 and greater improvements in TUG were reported for the group receiving an alternative exercise program in the third study.39\nSignificantly greater effects were noted for the VR group when compared with a control group in the chair stand test,40,42 the six-minute walk test,42 and the Tinetti static test.45 Somewhat less consistent results were obtained when comparing the VR intervention with an alternative intervention. While Pluchino et al43 reported no significant effect on performance measures in either treatment group for the forward reach test and the Tinetti static test,43 Reed-Jones et al44 reported comparable improvements in both the VR-based and non-VR-based interventions for the chair stand test, the six-minute walk test, the forward reach test, the obstacle course test, and the Tinetti static test, and Singh et al reported comparable results for the ten-step test.38 A positive effect on postural sway measures were noted in three39,43,45 of four studies.40 Finally, the results of the balance self-efficacy questionnaires indicated improved self-confidence following Wii-based training in two studies,40,41 no significant improvement in one,43 and comparable positive results when the effect of Wii-based training was compared with an alternative exercise program.38\nDue to methodological variability and insufficient data, the effects of Wii-based training could not be pooled for a meta-analysis. Thus, for example, while TUG was the most frequently used test, incorporated in all but one study,45 the distance walked in each direction was 3 meters in three studies39,40,43 and 8 feet in three studies.41,42,44 These differences, as well as insufficient data in two of the studies,41,42 along with different control interventions made it impossible to perform a meta-analysis.\nAll four studies comparing the VR group with no treatment or with a sham treatment indicated that VR training had a significant positive effect on the TUG test.40–42,45 Among the three studies that compared the Wii-based program with a different exercise program, Pluchino et al43 reported no significant improvement in TUG for either treatment group, similar improvements in both groups were noted by Reed-Jones et al44 and greater improvements in TUG were reported for the group receiving an alternative exercise program in the third study.39\nSignificantly greater effects were noted for the VR group when compared with a control group in the chair stand test,40,42 the six-minute walk test,42 and the Tinetti static test.45 Somewhat less consistent results were obtained when comparing the VR intervention with an alternative intervention. While Pluchino et al43 reported no significant effect on performance measures in either treatment group for the forward reach test and the Tinetti static test,43 Reed-Jones et al44 reported comparable improvements in both the VR-based and non-VR-based interventions for the chair stand test, the six-minute walk test, the forward reach test, the obstacle course test, and the Tinetti static test, and Singh et al reported comparable results for the ten-step test.38 A positive effect on postural sway measures were noted in three39,43,45 of four studies.40 Finally, the results of the balance self-efficacy questionnaires indicated improved self-confidence following Wii-based training in two studies,40,41 no significant improvement in one,43 and comparable positive results when the effect of Wii-based training was compared with an alternative exercise program.38", "Initial screening resulted in a total of 351 papers, of which 39 were considered relevant on the basis of their title and abstract. Full text review of these studies indicated that eight randomized controlled trials met all the inclusion criteria for review. Two of these articles were considered as a single study, since consultation with their primary author determined that they reported different outcome measures obtained from the same data set.38,39 Thus, the final review included seven randomized controlled trials. The selection process for the studies included in this systematic review is presented in Figure 1. Characteristics of the final seven studies retrieved are summarized in Table 1.", "The methodological quality of the included papers according to the PEDro classification scale is presented in Table 2. The mean PEDro score was 5.57 (SD 0.78), with one study graded excellent (score 7/10),40 two good (score 6/10),38–41 and the rest fair (score 5/10).42–45\nFour items were scored positive in all studies: “eligibility criteria”, “random allocation”, “baseline comparability”, “point estimates and variability”, and “adequate follow-up”, while “between group comparison” was scored positive in most of the studies. In contrast, blindness of the participants or the therapists was impossible due to the nature of the studies, and only three studies maintained blindness of the assessor.38–41 Finally, “concealed allocation”43,45 and “intention to treat” were rated positive in only two studies.40,41", " Subjects The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45\nThe seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45\n VR intervention The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study.\nA variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters.\nAll the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis.\nThe majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study.\nA variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters.\nAll the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis.\n Control interventions Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies.\nOnly in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies.\n Duration and number of treatments The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes.\nThe duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes.", "The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45", "The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study.\nA variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters.\nAll the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis.", "Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies.", "The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes.", "Assessments were carried out pre-intervention and immediately post-intervention in all the studies. An additional mid-term assessment was conducted in only one study.44 No study included follow-up assessments.\nAll of the studies employed at least one outcome measure that examined change in functional balance performance. The most frequently used measure was the Timed Up and Go (TUG) test, which was tested in all but one study that used unipedal stance time (eyes open and closed) and the Tinetti Balance test instead.45 While two studies did not include any additional functional tests,41,42 most studies incorporated additional clinical tests, such as the chair stand test, which is considered both a functional test and a general assessment of lower extremity strength.40,42,44 Other clinical tests included were the functional reach test,43,44 the Tinetti Balance test,43,45 the one-leg stance test,43,45 obstacle course completion,44 and the ten-step test.38 In addition to clinical balance tests, four studies incorporated instrumented measures of postural sway.38,40,43,45\nSince no follow-up tests were included, none of the studies demonstrated a treatment effect on fall frequency. However, two studies included questionnaires examining treatment effect on fall risk,38,43 and four used a questionnaire38,40,41,43 to evaluate the intervention effect on fear of falling, which has been shown to be related to activity limitations and fall risk.46,47\nOther performance measures examined were fitness and muscle strength. The six-minute walk test was used to examine treatment effect on activity endurance in two studies42,44 and one study incorporated a senior fitness test.44 Effect on muscle strength was evaluated in three studies.40,42,44 Finally, measures of cognitive performance42 and depression were tested in only one study.41", "Due to methodological variability and insufficient data, the effects of Wii-based training could not be pooled for a meta-analysis. Thus, for example, while TUG was the most frequently used test, incorporated in all but one study,45 the distance walked in each direction was 3 meters in three studies39,40,43 and 8 feet in three studies.41,42,44 These differences, as well as insufficient data in two of the studies,41,42 along with different control interventions made it impossible to perform a meta-analysis.\nAll four studies comparing the VR group with no treatment or with a sham treatment indicated that VR training had a significant positive effect on the TUG test.40–42,45 Among the three studies that compared the Wii-based program with a different exercise program, Pluchino et al43 reported no significant improvement in TUG for either treatment group, similar improvements in both groups were noted by Reed-Jones et al44 and greater improvements in TUG were reported for the group receiving an alternative exercise program in the third study.39\nSignificantly greater effects were noted for the VR group when compared with a control group in the chair stand test,40,42 the six-minute walk test,42 and the Tinetti static test.45 Somewhat less consistent results were obtained when comparing the VR intervention with an alternative intervention. While Pluchino et al43 reported no significant effect on performance measures in either treatment group for the forward reach test and the Tinetti static test,43 Reed-Jones et al44 reported comparable improvements in both the VR-based and non-VR-based interventions for the chair stand test, the six-minute walk test, the forward reach test, the obstacle course test, and the Tinetti static test, and Singh et al reported comparable results for the ten-step test.38 A positive effect on postural sway measures were noted in three39,43,45 of four studies.40 Finally, the results of the balance self-efficacy questionnaires indicated improved self-confidence following Wii-based training in two studies,40,41 no significant improvement in one,43 and comparable positive results when the effect of Wii-based training was compared with an alternative exercise program.38", "The present systematic review was conducted to evaluate the effects of VR-based training with the Wii gaming console on balance control and functional performance in independently functioning older adults. The literature review revealed a rapidly growing interest in the potential of this system as an exercise modality for this population. Whereas only sporadic reports that were not well controlled appeared in the literature in the first few years immediately following the introduction of Wii (2006–2011), seven randomized controlled studies examining the effects of Wii-based interventions on balance control among older adults living in the community were published in the years 2012–2014. However, the tremendous methodological variability among studies, as well as some methodological limitations, made it impossible to conduct a comprehensive meta-analysis.\nThe four studies examining the effects of Wii-based exercise programs in comparison with no exercise indicate that Wii-based training may serve as a means to improve balance control and self-confidence among community-dwelling older adults.40–42,45 The studies comparing Wii-based training with alternative exercise programs further support this conclusion, as the balance improvements achieved with Wii-based training were comparable with those achieved with other exercise programs in several of the tested outcome measures. Nevertheless, this conclusion must be regarded with caution. While both groups demonstrated improvements in TUG in the study by Singh et al39 greater gains were noted in the group that completed a conventional exercise program. In contrast, Pluchino et al43 showed comparable improvements only in measures of postural sway, with no change in functional balance performance in either treatment group. Finally, while Reed-Jones et al44 reported comparable improvements in balance performance measures in all treatment groups, it should be noted that the group receiving Wii-based training also participated in additional balance and strength exercises that may have led to the observed improvements. However, this study demonstrated that substituting 15 minutes of cardiovascular training with Wii-based training enhanced the subjects’ obstacle avoidance behavior. This may be related to improved visual processing and attention, which are targeted during Wii-based training. Thus, the advantage of VR-based training may contribute to processes not captured by the more standard performance measures examined in most studies. As the fall incidence in older adults has been shown to be related to their ability to maintain balance while performing cognitively demanding tasks (ie, dual tasking),48–51 future studies should further investigate the effects of VR-based training on these abilities and their relationship to fall prevention.\nTo be suitable as a home-based treatment modality, it is necessary to determine that older adults can use the Wii system safely without supervision. Only one of the reviewed articles noted that the subjects performed the Wii-based intervention at their own convenience, albeit at the clinic, but apparently without supervision.43 Further, only one article addressed the issue of adverse effects, stating that none were reported.40 Thus, based on this systematic review, it is not possible to make a statement regarding the suitability of this intervention for independent use by older adults. To the best of our knowledge, only two non-randomized studies examined home usage of the Wii system for balance enhancement in older adults. Agmon et al in a pilot study of seven subjects with impaired balance, modified two of the four Wii games used in order to ensure the participants’ safety. Additionally, more than five 30-minute training sessions were necessary beyond the first week of use to ensure that the participants were confident with the activities.34 In a more recent study, a group of 21 elderly subjects with no balance impairments undertook unsupervised Wii-based balance training performed in pairs. During a six-week treatment period (30-minute interactions three times per week), two subjects ceased participation due to exacerbation of low back pain, which did not require medical treatment. No acute adverse events were reported during the VR interaction.52 The ability to use the Wii system independently in the home environment must be considered in future studies, taking into account the subjects’ ages as well as factors such as initial balance performance, comorbidities and cognitive states.\nA variety of games were used in the different studies, of which the three most popular were the “soccer heading”, “slalom ski”, and “tight rope walk”. These games were probably chosen since they require adequate core muscle control and upper and lower limb muscle strength for rapid and accurate movements. The games challenged the subjects’ balance by requiring them to lean in different directions and to take sharp turns, thus shifting their center of mass to the limits of their base of support. The chosen games also appeared to encourage moderate to vigorous physical exertion. It is interesting to note, that in the pilot study noted above, Agmon et al34 reported safety concerns and muscle strains with the “basic step” and “soccer heading” games, respectively.34 Yet, “soccer heading” was employed in four of the seven studies included in the present review.38,39,42,43,45 Future studies are necessary to optimize the use of Wii-based balance training in terms of game choice and treatment intensity.\nIt has been repeatedly suggested that engaging in fun and challenging VR games may strongly affect an individual’s motivation to apply maximal effort and thus increase overall compliance with treatment.53 Although level of motivation and enjoyment were not documented in the reviewed articles, Wii-based interventions have been reported as enjoyable for balance training in nonimpaired elderly adults,52,54 as well as in individuals following traumatic brain injury.55 Further, one of the reviewed articles reported a very high level of adherence to the program and an interest in continued use of this modality at home.42 In addition to their effect on compliance, Wii-based games are well suited for home-based exercise programs, as they are relatively inexpensive, and do not require large spaces or additional peripheral equipment. These important attributes render this modality particularly appealing for older adults, who are expected to engage in exercise programs to counter the negative consequences of aging and a sedentary lifestyle, but may find it difficult to participate in formal exercise activities that entail time, place, and cost constraints.\nIn conclusion, the present review of seven randomized controlled trials indicates that engaging older adults living in the community in a Wii-based exercise program is feasible and may enhance their balance capabilities. Thus, such programs may serve as an alternative to more conventional forms of exercise aimed at improving balance control. However, studies vary greatly in terms of their methodological quality and the intervention protocols and outcome measures used. Better designed, randomized controlled studies, including larger group sizes, follow-up assessments, as well as more standardized protocols and outcome measures are necessary before definitive statements can be made regarding the potential of a Wii-based intervention as a safe and effective home-based treatment for community living, elderly individuals. Future studies should provide more detailed guidelines as to the optimal treatment and implementation protocols." ]
[ "intro", "methods", null, "methods", "methods", null, "results", "methods", null, "intro", "subjects", null, null, null, null, null, "discussion" ]
[ "virtual reality", "exergame", "balance", "exercise", "falls" ]
Introduction: Approximately one third of individuals aged 65 years or older experience at least one fall a year,1,2 with over 40% of falls resulting in significant physical injury or death.3 Fall-related injuries, as well as fear of falling, contribute to reduced mobility, which curtails an individual’s participation in daily activities, leading ultimately to a decline in quality of life.3,4 With increased life expectancy in developed countries, fall prevention has become an urgent global health challenge.5 Causes of falls are multifaceted and their prevention requires a comprehensive, multidimensional treatment strategy.2,6–8 It is well documented that some of the risk factors for falls related to the neuromuscular system, such as impaired balance and gait as well as reduced muscle strength, can be modified by appropriate exercise programs.9–11 A systematic review aimed at establishing whether particular components of an exercise program are associated with a greater decrease in falls determined that larger relative effects on fall prevention are seen in programs that include exercises focusing on balance control.12 Thus, intervention programs incorporating exercises that challenge balance, such as Tai Chi exercises, have been shown to reduce the risk of falls among older adults.13,14 The intensity of the balance-focused exercise program and the need to adhere to it throughout one’s lifetime are crucial for successful fall prevention.12 Therefore, intervention programs must be designed to encourage exercise compliance by stimulating motivation and being easily accessible, while at the same time having no adverse effects. Virtual reality (VR) computer-based technology provides the user with opportunities to interact with virtual objects and events that simulate the real world.15,16 By offering the user the opportunity to interact with a variety of engaging activities, some of which may be too risky when practiced in the real world, VR technology can encourage repetitive task-specific behavior graded to the competence level of the user, while providing the feedback necessary for effective motor learning.17,18 Thus, VR-based exercise can provide experiential, active learning opportunities that are fun, motivating, and challenging whilst being safe and ecologically valid.17 Due to its potential as a means to enhance motor and cognitive learning, VR technology is emerging as a rehabilitation tool for individuals with a variety of physical disabilities, including stroke,19 Parkinson’s disease,20 and cerebral palsy.21 The use of VR technology has rapidly expanded in the last decade, with the introduction of off-the-shelf commercial consoles and games. Although these systems were developed for entertainment purposes, they have evolved as a means to encourage fitness exercise (termed exergames) in the general population.22,23 As commercial systems are much less expensive than custom-developed rehabilitation tools, off-the-shelf systems are also gaining popularity as treatment modalities for motor and cognitive rehabilitation of subjects with a variety of orthopedic and neurological impairments.24–26 Of the four best known commercial systems (Nintendo Wii, Dance Dance Revolution, Playstation EyeToy, and Microsoft Kinect),27,28 Nintendo Wii is the most popular system applied for rehabilitation purposes. Thus, a recent systematic review of commercial systems used for rehabilitation of the upper limb following a stroke identified ten studies that utilized the Nintendo Wii and only two that used the PlayStation Eye Toy.29 In a similar systematic review regarding the use of VR in Parkinson’s disease, all six studies identified utilized the Nintendo Wii system.30 A recent audit by the National Stroke Foundation of Australia found that 84 of 111 (76%) metropolitan stroke rehabilitation hospitals purchased a Nintendo Wii console.31 Further, in a preliminary literature review, we did not identify any randomized controlled studies on the effects of VR-based interventions on balance control in older adults with commercial systems other than the Nintendo Wii. The popularity of this system is probably due to the variety of video games enabled through both the Wii Remote (Wiimote) and the Wii Balance Board (Nintendo of America Inc., Redmond, WA, USA) peripheral devices. The Wiimote incorporates three-dimensional accelerometer technology that tracks arm movements and can be used, for example, to encourage players to mimic movements performed in real-life sports, such as swinging a tennis racquet. The Wii Balance Board is a platform device capable of monitoring changes in the individual’s center of pressure. It is employed in conjunction with Wii Fit software and uses an avatar to provide feedback regarding changes in one’s center of pressure throughout a variety of interactive games. Both peripheral devices can be used in games that challenge an individual’s balance capabilities, while providing appropriate visual and auditory feedback regarding balance performance. Since the Wii gaming console was introduced to the market in 2006, there has been a growing interest in its potential for balance training in older adults. Whereas preliminary studies involved only single-case designs32,33 or single-group designs (with no control group),34,35 a number of studies of higher methodological quality have been published in the last few years. The primary objective of the present study was to systematically review randomized controlled trials that examined the effects of intervention programs utilizing the Nintendo Wii console on balance control in independently functioning older adults. The success of such interventions was reviewed in comparison with alternative exercise programs, as well as with no exercise intervention. The present review was written in accordance with the guidelines recommended by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) statement.36 Methods: Search strategy An online search of the PubMed (since 1966), CINAHL (since 1982), PEDro, EMBASE (since 1974), SPORTdiscus (since 1930), and Google Scholar databases was performed independently by two of the authors (YL, EK). The last full search was conducted in June 2014. The electronic search was completed by a hand search of bibliographic references of the included studies. The search terms used were: “virtual reality”, “video game”, “exergame”, and “Wii Fit”, crossed with “balance”, “postural control”, or “falls”. The search was restricted to the English language. The search was initially conducted by two of the authors independently (YL, EK) and finalized by the authors in collaboration. Duplicate publications were removed after all databases and reference lists were searched. The titles and abstracts of all identified articles were reviewed, with the full article reviewed whenever deemed necessary to finalize a decision about inclusion. An online search of the PubMed (since 1966), CINAHL (since 1982), PEDro, EMBASE (since 1974), SPORTdiscus (since 1930), and Google Scholar databases was performed independently by two of the authors (YL, EK). The last full search was conducted in June 2014. The electronic search was completed by a hand search of bibliographic references of the included studies. The search terms used were: “virtual reality”, “video game”, “exergame”, and “Wii Fit”, crossed with “balance”, “postural control”, or “falls”. The search was restricted to the English language. The search was initially conducted by two of the authors independently (YL, EK) and finalized by the authors in collaboration. Duplicate publications were removed after all databases and reference lists were searched. The titles and abstracts of all identified articles were reviewed, with the full article reviewed whenever deemed necessary to finalize a decision about inclusion. Study inclusion and exclusion criteria The authors screened all selected citations independently. Study inclusion criteria were: Randomized controlled trials appearing in refereed journals. Trials in which a VR exergame based on Nintendo Wii was used to enhance standing balance performance in comparison with an alternative exercise treatment that did not involve VR or interactive computer gaming, or in comparison with a placebo treatment, or with no treatment at all. In cases where a conventional exercise program was added to the Wii-based intervention, the article was included only if the same conventional program was offered to the control group. Participants were adults aged 55 years or older living in the community or independently in retirement centers. Participants were referred to the VR intervention primarily to improve standing/walking balance control. Participants were without cognitive impairment and were able to ambulate independently with/out assistive devices, with/out a history of falls. A report of at least one outcome measure assessing standing/walking balance capabilities, fall incidence, or fall efficacy. Exclusion criteria were: Studies designed to address populations with specific neurological (ie, stroke, Parkinson’s disease, and multiple sclerosis), metabolic (ie, diabetes), or musculoskeletal (ie, rheumatoid arthritis) deficits that might impair balance control. Studies with a PEDro score of ≤4. Studies with less than six participants in each intervention group. Studies in which no inferential statistics were reported. Studies reported in conference proceedings, posters, theses, or dissertations. The authors screened all selected citations independently. Study inclusion criteria were: Randomized controlled trials appearing in refereed journals. Trials in which a VR exergame based on Nintendo Wii was used to enhance standing balance performance in comparison with an alternative exercise treatment that did not involve VR or interactive computer gaming, or in comparison with a placebo treatment, or with no treatment at all. In cases where a conventional exercise program was added to the Wii-based intervention, the article was included only if the same conventional program was offered to the control group. Participants were adults aged 55 years or older living in the community or independently in retirement centers. Participants were referred to the VR intervention primarily to improve standing/walking balance control. Participants were without cognitive impairment and were able to ambulate independently with/out assistive devices, with/out a history of falls. A report of at least one outcome measure assessing standing/walking balance capabilities, fall incidence, or fall efficacy. Exclusion criteria were: Studies designed to address populations with specific neurological (ie, stroke, Parkinson’s disease, and multiple sclerosis), metabolic (ie, diabetes), or musculoskeletal (ie, rheumatoid arthritis) deficits that might impair balance control. Studies with a PEDro score of ≤4. Studies with less than six participants in each intervention group. Studies in which no inferential statistics were reported. Studies reported in conference proceedings, posters, theses, or dissertations. Data extraction A data extraction form was developed by the reviewers that included the following details: number of male and female subjects in each treatment group; subjects’ mean age (standard deviation [SD]) per group; type of Wii peripherals and Wii games used; type of control group intervention; subjects’ residence, location of intervention; provision of supervision during intervention; number of treatments per week; number of treatment weeks; duration of each treatment; statistical analyses employed; outcome measures assessed; and statistically significant changes per outcome measure. Each author extracted the data independently, and differences between the reviewers in regard to the data summary were discussed and resolved in a face-to-face meeting. A data extraction form was developed by the reviewers that included the following details: number of male and female subjects in each treatment group; subjects’ mean age (standard deviation [SD]) per group; type of Wii peripherals and Wii games used; type of control group intervention; subjects’ residence, location of intervention; provision of supervision during intervention; number of treatments per week; number of treatment weeks; duration of each treatment; statistical analyses employed; outcome measures assessed; and statistically significant changes per outcome measure. Each author extracted the data independently, and differences between the reviewers in regard to the data summary were discussed and resolved in a face-to-face meeting. Quality assessment The methodological quality of the included studies was assessed in accordance with the PEDro classification scale, providing a score between 0 to 10.37 The PEDro ratings, which are provided by the Centre for Evidence-Based Physiotherapy at the George Institute for Global Health (http://ptwww.cchs.usyd.edu.au/), were used whenever available. Studies for which a PEDro score was not published were scored independently by the authors, with discrepancies discussed in a face-to-face meeting and resolved by agreement. Due to the nature of the studies, blindness of the subjects or the individuals providing the treatment was not possible; hence, the maximum possible score was 8. Studies were rated between excellent and poor on the basis of the PEDro score as follows: 8–7 (excellent), 6 (good), and 4–5 (fair). The methodological quality of the included studies was assessed in accordance with the PEDro classification scale, providing a score between 0 to 10.37 The PEDro ratings, which are provided by the Centre for Evidence-Based Physiotherapy at the George Institute for Global Health (http://ptwww.cchs.usyd.edu.au/), were used whenever available. Studies for which a PEDro score was not published were scored independently by the authors, with discrepancies discussed in a face-to-face meeting and resolved by agreement. Due to the nature of the studies, blindness of the subjects or the individuals providing the treatment was not possible; hence, the maximum possible score was 8. Studies were rated between excellent and poor on the basis of the PEDro score as follows: 8–7 (excellent), 6 (good), and 4–5 (fair). Search strategy: An online search of the PubMed (since 1966), CINAHL (since 1982), PEDro, EMBASE (since 1974), SPORTdiscus (since 1930), and Google Scholar databases was performed independently by two of the authors (YL, EK). The last full search was conducted in June 2014. The electronic search was completed by a hand search of bibliographic references of the included studies. The search terms used were: “virtual reality”, “video game”, “exergame”, and “Wii Fit”, crossed with “balance”, “postural control”, or “falls”. The search was restricted to the English language. The search was initially conducted by two of the authors independently (YL, EK) and finalized by the authors in collaboration. Duplicate publications were removed after all databases and reference lists were searched. The titles and abstracts of all identified articles were reviewed, with the full article reviewed whenever deemed necessary to finalize a decision about inclusion. Study inclusion and exclusion criteria: The authors screened all selected citations independently. Study inclusion criteria were: Randomized controlled trials appearing in refereed journals. Trials in which a VR exergame based on Nintendo Wii was used to enhance standing balance performance in comparison with an alternative exercise treatment that did not involve VR or interactive computer gaming, or in comparison with a placebo treatment, or with no treatment at all. In cases where a conventional exercise program was added to the Wii-based intervention, the article was included only if the same conventional program was offered to the control group. Participants were adults aged 55 years or older living in the community or independently in retirement centers. Participants were referred to the VR intervention primarily to improve standing/walking balance control. Participants were without cognitive impairment and were able to ambulate independently with/out assistive devices, with/out a history of falls. A report of at least one outcome measure assessing standing/walking balance capabilities, fall incidence, or fall efficacy. Exclusion criteria were: Studies designed to address populations with specific neurological (ie, stroke, Parkinson’s disease, and multiple sclerosis), metabolic (ie, diabetes), or musculoskeletal (ie, rheumatoid arthritis) deficits that might impair balance control. Studies with a PEDro score of ≤4. Studies with less than six participants in each intervention group. Studies in which no inferential statistics were reported. Studies reported in conference proceedings, posters, theses, or dissertations. Data extraction: A data extraction form was developed by the reviewers that included the following details: number of male and female subjects in each treatment group; subjects’ mean age (standard deviation [SD]) per group; type of Wii peripherals and Wii games used; type of control group intervention; subjects’ residence, location of intervention; provision of supervision during intervention; number of treatments per week; number of treatment weeks; duration of each treatment; statistical analyses employed; outcome measures assessed; and statistically significant changes per outcome measure. Each author extracted the data independently, and differences between the reviewers in regard to the data summary were discussed and resolved in a face-to-face meeting. Quality assessment: The methodological quality of the included studies was assessed in accordance with the PEDro classification scale, providing a score between 0 to 10.37 The PEDro ratings, which are provided by the Centre for Evidence-Based Physiotherapy at the George Institute for Global Health (http://ptwww.cchs.usyd.edu.au/), were used whenever available. Studies for which a PEDro score was not published were scored independently by the authors, with discrepancies discussed in a face-to-face meeting and resolved by agreement. Due to the nature of the studies, blindness of the subjects or the individuals providing the treatment was not possible; hence, the maximum possible score was 8. Studies were rated between excellent and poor on the basis of the PEDro score as follows: 8–7 (excellent), 6 (good), and 4–5 (fair). Results: Study selection Initial screening resulted in a total of 351 papers, of which 39 were considered relevant on the basis of their title and abstract. Full text review of these studies indicated that eight randomized controlled trials met all the inclusion criteria for review. Two of these articles were considered as a single study, since consultation with their primary author determined that they reported different outcome measures obtained from the same data set.38,39 Thus, the final review included seven randomized controlled trials. The selection process for the studies included in this systematic review is presented in Figure 1. Characteristics of the final seven studies retrieved are summarized in Table 1. Initial screening resulted in a total of 351 papers, of which 39 were considered relevant on the basis of their title and abstract. Full text review of these studies indicated that eight randomized controlled trials met all the inclusion criteria for review. Two of these articles were considered as a single study, since consultation with their primary author determined that they reported different outcome measures obtained from the same data set.38,39 Thus, the final review included seven randomized controlled trials. The selection process for the studies included in this systematic review is presented in Figure 1. Characteristics of the final seven studies retrieved are summarized in Table 1. Methodological quality The methodological quality of the included papers according to the PEDro classification scale is presented in Table 2. The mean PEDro score was 5.57 (SD 0.78), with one study graded excellent (score 7/10),40 two good (score 6/10),38–41 and the rest fair (score 5/10).42–45 Four items were scored positive in all studies: “eligibility criteria”, “random allocation”, “baseline comparability”, “point estimates and variability”, and “adequate follow-up”, while “between group comparison” was scored positive in most of the studies. In contrast, blindness of the participants or the therapists was impossible due to the nature of the studies, and only three studies maintained blindness of the assessor.38–41 Finally, “concealed allocation”43,45 and “intention to treat” were rated positive in only two studies.40,41 The methodological quality of the included papers according to the PEDro classification scale is presented in Table 2. The mean PEDro score was 5.57 (SD 0.78), with one study graded excellent (score 7/10),40 two good (score 6/10),38–41 and the rest fair (score 5/10).42–45 Four items were scored positive in all studies: “eligibility criteria”, “random allocation”, “baseline comparability”, “point estimates and variability”, and “adequate follow-up”, while “between group comparison” was scored positive in most of the studies. In contrast, blindness of the participants or the therapists was impossible due to the nature of the studies, and only three studies maintained blindness of the assessor.38–41 Finally, “concealed allocation”43,45 and “intention to treat” were rated positive in only two studies.40,41 Characteristics of included studies Subjects The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45 The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45 VR intervention The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study. A variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters. All the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis. The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study. A variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters. All the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis. Control interventions Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies. Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies. Duration and number of treatments The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes. The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes. Subjects The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45 The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45 VR intervention The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study. A variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters. All the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis. The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study. A variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters. All the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis. Control interventions Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies. Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies. Duration and number of treatments The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes. The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes. Outcome measures Assessments were carried out pre-intervention and immediately post-intervention in all the studies. An additional mid-term assessment was conducted in only one study.44 No study included follow-up assessments. All of the studies employed at least one outcome measure that examined change in functional balance performance. The most frequently used measure was the Timed Up and Go (TUG) test, which was tested in all but one study that used unipedal stance time (eyes open and closed) and the Tinetti Balance test instead.45 While two studies did not include any additional functional tests,41,42 most studies incorporated additional clinical tests, such as the chair stand test, which is considered both a functional test and a general assessment of lower extremity strength.40,42,44 Other clinical tests included were the functional reach test,43,44 the Tinetti Balance test,43,45 the one-leg stance test,43,45 obstacle course completion,44 and the ten-step test.38 In addition to clinical balance tests, four studies incorporated instrumented measures of postural sway.38,40,43,45 Since no follow-up tests were included, none of the studies demonstrated a treatment effect on fall frequency. However, two studies included questionnaires examining treatment effect on fall risk,38,43 and four used a questionnaire38,40,41,43 to evaluate the intervention effect on fear of falling, which has been shown to be related to activity limitations and fall risk.46,47 Other performance measures examined were fitness and muscle strength. The six-minute walk test was used to examine treatment effect on activity endurance in two studies42,44 and one study incorporated a senior fitness test.44 Effect on muscle strength was evaluated in three studies.40,42,44 Finally, measures of cognitive performance42 and depression were tested in only one study.41 Assessments were carried out pre-intervention and immediately post-intervention in all the studies. An additional mid-term assessment was conducted in only one study.44 No study included follow-up assessments. All of the studies employed at least one outcome measure that examined change in functional balance performance. The most frequently used measure was the Timed Up and Go (TUG) test, which was tested in all but one study that used unipedal stance time (eyes open and closed) and the Tinetti Balance test instead.45 While two studies did not include any additional functional tests,41,42 most studies incorporated additional clinical tests, such as the chair stand test, which is considered both a functional test and a general assessment of lower extremity strength.40,42,44 Other clinical tests included were the functional reach test,43,44 the Tinetti Balance test,43,45 the one-leg stance test,43,45 obstacle course completion,44 and the ten-step test.38 In addition to clinical balance tests, four studies incorporated instrumented measures of postural sway.38,40,43,45 Since no follow-up tests were included, none of the studies demonstrated a treatment effect on fall frequency. However, two studies included questionnaires examining treatment effect on fall risk,38,43 and four used a questionnaire38,40,41,43 to evaluate the intervention effect on fear of falling, which has been shown to be related to activity limitations and fall risk.46,47 Other performance measures examined were fitness and muscle strength. The six-minute walk test was used to examine treatment effect on activity endurance in two studies42,44 and one study incorporated a senior fitness test.44 Effect on muscle strength was evaluated in three studies.40,42,44 Finally, measures of cognitive performance42 and depression were tested in only one study.41 Treatment effect Due to methodological variability and insufficient data, the effects of Wii-based training could not be pooled for a meta-analysis. Thus, for example, while TUG was the most frequently used test, incorporated in all but one study,45 the distance walked in each direction was 3 meters in three studies39,40,43 and 8 feet in three studies.41,42,44 These differences, as well as insufficient data in two of the studies,41,42 along with different control interventions made it impossible to perform a meta-analysis. All four studies comparing the VR group with no treatment or with a sham treatment indicated that VR training had a significant positive effect on the TUG test.40–42,45 Among the three studies that compared the Wii-based program with a different exercise program, Pluchino et al43 reported no significant improvement in TUG for either treatment group, similar improvements in both groups were noted by Reed-Jones et al44 and greater improvements in TUG were reported for the group receiving an alternative exercise program in the third study.39 Significantly greater effects were noted for the VR group when compared with a control group in the chair stand test,40,42 the six-minute walk test,42 and the Tinetti static test.45 Somewhat less consistent results were obtained when comparing the VR intervention with an alternative intervention. While Pluchino et al43 reported no significant effect on performance measures in either treatment group for the forward reach test and the Tinetti static test,43 Reed-Jones et al44 reported comparable improvements in both the VR-based and non-VR-based interventions for the chair stand test, the six-minute walk test, the forward reach test, the obstacle course test, and the Tinetti static test, and Singh et al reported comparable results for the ten-step test.38 A positive effect on postural sway measures were noted in three39,43,45 of four studies.40 Finally, the results of the balance self-efficacy questionnaires indicated improved self-confidence following Wii-based training in two studies,40,41 no significant improvement in one,43 and comparable positive results when the effect of Wii-based training was compared with an alternative exercise program.38 Due to methodological variability and insufficient data, the effects of Wii-based training could not be pooled for a meta-analysis. Thus, for example, while TUG was the most frequently used test, incorporated in all but one study,45 the distance walked in each direction was 3 meters in three studies39,40,43 and 8 feet in three studies.41,42,44 These differences, as well as insufficient data in two of the studies,41,42 along with different control interventions made it impossible to perform a meta-analysis. All four studies comparing the VR group with no treatment or with a sham treatment indicated that VR training had a significant positive effect on the TUG test.40–42,45 Among the three studies that compared the Wii-based program with a different exercise program, Pluchino et al43 reported no significant improvement in TUG for either treatment group, similar improvements in both groups were noted by Reed-Jones et al44 and greater improvements in TUG were reported for the group receiving an alternative exercise program in the third study.39 Significantly greater effects were noted for the VR group when compared with a control group in the chair stand test,40,42 the six-minute walk test,42 and the Tinetti static test.45 Somewhat less consistent results were obtained when comparing the VR intervention with an alternative intervention. While Pluchino et al43 reported no significant effect on performance measures in either treatment group for the forward reach test and the Tinetti static test,43 Reed-Jones et al44 reported comparable improvements in both the VR-based and non-VR-based interventions for the chair stand test, the six-minute walk test, the forward reach test, the obstacle course test, and the Tinetti static test, and Singh et al reported comparable results for the ten-step test.38 A positive effect on postural sway measures were noted in three39,43,45 of four studies.40 Finally, the results of the balance self-efficacy questionnaires indicated improved self-confidence following Wii-based training in two studies,40,41 no significant improvement in one,43 and comparable positive results when the effect of Wii-based training was compared with an alternative exercise program.38 Study selection: Initial screening resulted in a total of 351 papers, of which 39 were considered relevant on the basis of their title and abstract. Full text review of these studies indicated that eight randomized controlled trials met all the inclusion criteria for review. Two of these articles were considered as a single study, since consultation with their primary author determined that they reported different outcome measures obtained from the same data set.38,39 Thus, the final review included seven randomized controlled trials. The selection process for the studies included in this systematic review is presented in Figure 1. Characteristics of the final seven studies retrieved are summarized in Table 1. Methodological quality: The methodological quality of the included papers according to the PEDro classification scale is presented in Table 2. The mean PEDro score was 5.57 (SD 0.78), with one study graded excellent (score 7/10),40 two good (score 6/10),38–41 and the rest fair (score 5/10).42–45 Four items were scored positive in all studies: “eligibility criteria”, “random allocation”, “baseline comparability”, “point estimates and variability”, and “adequate follow-up”, while “between group comparison” was scored positive in most of the studies. In contrast, blindness of the participants or the therapists was impossible due to the nature of the studies, and only three studies maintained blindness of the assessor.38–41 Finally, “concealed allocation”43,45 and “intention to treat” were rated positive in only two studies.40,41 Characteristics of included studies: Subjects The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45 The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45 VR intervention The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study. A variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters. All the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis. The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study. A variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters. All the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis. Control interventions Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies. Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies. Duration and number of treatments The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes. The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes. Subjects: The seven studies reviewed included 285 older adults, with 126 participating in VR-based training (Wii Fit) and 159 in control groups. The number of subjects per group ranged from nine to 30 subjects, with a mean of 14.5 (SD 7.13) and 14.18 (SD 6.03) subjects in the VR and control groups, respectively. Mean group ages ranged between 61.1 and 85.7 years, with a mean age of over 70.0 years reported in five studies.40–43,45 VR intervention: The majority of the studies utilized the Wii Balance Board for the VR interaction, and one also used the Wiimote console.42 With the exception of one study that included two groups training with the Wii,45 only one group participated in VR-based training in each study. A variety of 27 games were used in the different studies. The number of different games per study varied from one44 to nine,43 with a mean of 5.85 (SD 2.85) games per study. “Soccer heading”, “slalom ski”, and “tight rope walk” were the most popular games and were used in four studies. The instructions regarding the interaction time with each game and the sequence of the games within the intervention period were extremely variable, as was the degree of detail provided to the reader regarding these parameters. All the VR interventions were carried out in a clinical setting, and with the exception of one study,43 the participants were supervised during the interaction by an attending clinician. In two studies, additional precautions were taken, either by placing a chair in front of the participant45 or by using a gait belt, to allow for external support as necessary.41 In all studies, except for one in which subjects practiced in pairs,42 the games were played on a one-to-one basis. Control interventions: Only in one study the control group received a placebo treatment as the subjects were informed that special copolymer shoe insoles may aid their balance.40 In two studies with one control group, no treatment was offered;41,42 in one study that had two control groups, one received no treatment and the second received an alternative exercise program.45 In three additional studies, the control groups received an alternative exercise program.38,39,43,44 The alternative exercises for the control group varied between studies. Duration and number of treatments: The duration of the VR intervention ranged from 6 to 20 weeks, with a mean of 10.57 (SD 4.85) weeks. The total number of treatments ranged from 12 to 24, with a mean of 19.14 (SD 4.29). The length of treatment ranged from 35 to 90 minutes, with a mean of 57.85 (SD 17.76) minutes. Total treatment time ranged from 480 to 2,160 minutes, with a mean of 1,145.7 (SD 547.5) minutes. Outcome measures: Assessments were carried out pre-intervention and immediately post-intervention in all the studies. An additional mid-term assessment was conducted in only one study.44 No study included follow-up assessments. All of the studies employed at least one outcome measure that examined change in functional balance performance. The most frequently used measure was the Timed Up and Go (TUG) test, which was tested in all but one study that used unipedal stance time (eyes open and closed) and the Tinetti Balance test instead.45 While two studies did not include any additional functional tests,41,42 most studies incorporated additional clinical tests, such as the chair stand test, which is considered both a functional test and a general assessment of lower extremity strength.40,42,44 Other clinical tests included were the functional reach test,43,44 the Tinetti Balance test,43,45 the one-leg stance test,43,45 obstacle course completion,44 and the ten-step test.38 In addition to clinical balance tests, four studies incorporated instrumented measures of postural sway.38,40,43,45 Since no follow-up tests were included, none of the studies demonstrated a treatment effect on fall frequency. However, two studies included questionnaires examining treatment effect on fall risk,38,43 and four used a questionnaire38,40,41,43 to evaluate the intervention effect on fear of falling, which has been shown to be related to activity limitations and fall risk.46,47 Other performance measures examined were fitness and muscle strength. The six-minute walk test was used to examine treatment effect on activity endurance in two studies42,44 and one study incorporated a senior fitness test.44 Effect on muscle strength was evaluated in three studies.40,42,44 Finally, measures of cognitive performance42 and depression were tested in only one study.41 Treatment effect: Due to methodological variability and insufficient data, the effects of Wii-based training could not be pooled for a meta-analysis. Thus, for example, while TUG was the most frequently used test, incorporated in all but one study,45 the distance walked in each direction was 3 meters in three studies39,40,43 and 8 feet in three studies.41,42,44 These differences, as well as insufficient data in two of the studies,41,42 along with different control interventions made it impossible to perform a meta-analysis. All four studies comparing the VR group with no treatment or with a sham treatment indicated that VR training had a significant positive effect on the TUG test.40–42,45 Among the three studies that compared the Wii-based program with a different exercise program, Pluchino et al43 reported no significant improvement in TUG for either treatment group, similar improvements in both groups were noted by Reed-Jones et al44 and greater improvements in TUG were reported for the group receiving an alternative exercise program in the third study.39 Significantly greater effects were noted for the VR group when compared with a control group in the chair stand test,40,42 the six-minute walk test,42 and the Tinetti static test.45 Somewhat less consistent results were obtained when comparing the VR intervention with an alternative intervention. While Pluchino et al43 reported no significant effect on performance measures in either treatment group for the forward reach test and the Tinetti static test,43 Reed-Jones et al44 reported comparable improvements in both the VR-based and non-VR-based interventions for the chair stand test, the six-minute walk test, the forward reach test, the obstacle course test, and the Tinetti static test, and Singh et al reported comparable results for the ten-step test.38 A positive effect on postural sway measures were noted in three39,43,45 of four studies.40 Finally, the results of the balance self-efficacy questionnaires indicated improved self-confidence following Wii-based training in two studies,40,41 no significant improvement in one,43 and comparable positive results when the effect of Wii-based training was compared with an alternative exercise program.38 Discussion: The present systematic review was conducted to evaluate the effects of VR-based training with the Wii gaming console on balance control and functional performance in independently functioning older adults. The literature review revealed a rapidly growing interest in the potential of this system as an exercise modality for this population. Whereas only sporadic reports that were not well controlled appeared in the literature in the first few years immediately following the introduction of Wii (2006–2011), seven randomized controlled studies examining the effects of Wii-based interventions on balance control among older adults living in the community were published in the years 2012–2014. However, the tremendous methodological variability among studies, as well as some methodological limitations, made it impossible to conduct a comprehensive meta-analysis. The four studies examining the effects of Wii-based exercise programs in comparison with no exercise indicate that Wii-based training may serve as a means to improve balance control and self-confidence among community-dwelling older adults.40–42,45 The studies comparing Wii-based training with alternative exercise programs further support this conclusion, as the balance improvements achieved with Wii-based training were comparable with those achieved with other exercise programs in several of the tested outcome measures. Nevertheless, this conclusion must be regarded with caution. While both groups demonstrated improvements in TUG in the study by Singh et al39 greater gains were noted in the group that completed a conventional exercise program. In contrast, Pluchino et al43 showed comparable improvements only in measures of postural sway, with no change in functional balance performance in either treatment group. Finally, while Reed-Jones et al44 reported comparable improvements in balance performance measures in all treatment groups, it should be noted that the group receiving Wii-based training also participated in additional balance and strength exercises that may have led to the observed improvements. However, this study demonstrated that substituting 15 minutes of cardiovascular training with Wii-based training enhanced the subjects’ obstacle avoidance behavior. This may be related to improved visual processing and attention, which are targeted during Wii-based training. Thus, the advantage of VR-based training may contribute to processes not captured by the more standard performance measures examined in most studies. As the fall incidence in older adults has been shown to be related to their ability to maintain balance while performing cognitively demanding tasks (ie, dual tasking),48–51 future studies should further investigate the effects of VR-based training on these abilities and their relationship to fall prevention. To be suitable as a home-based treatment modality, it is necessary to determine that older adults can use the Wii system safely without supervision. Only one of the reviewed articles noted that the subjects performed the Wii-based intervention at their own convenience, albeit at the clinic, but apparently without supervision.43 Further, only one article addressed the issue of adverse effects, stating that none were reported.40 Thus, based on this systematic review, it is not possible to make a statement regarding the suitability of this intervention for independent use by older adults. To the best of our knowledge, only two non-randomized studies examined home usage of the Wii system for balance enhancement in older adults. Agmon et al in a pilot study of seven subjects with impaired balance, modified two of the four Wii games used in order to ensure the participants’ safety. Additionally, more than five 30-minute training sessions were necessary beyond the first week of use to ensure that the participants were confident with the activities.34 In a more recent study, a group of 21 elderly subjects with no balance impairments undertook unsupervised Wii-based balance training performed in pairs. During a six-week treatment period (30-minute interactions three times per week), two subjects ceased participation due to exacerbation of low back pain, which did not require medical treatment. No acute adverse events were reported during the VR interaction.52 The ability to use the Wii system independently in the home environment must be considered in future studies, taking into account the subjects’ ages as well as factors such as initial balance performance, comorbidities and cognitive states. A variety of games were used in the different studies, of which the three most popular were the “soccer heading”, “slalom ski”, and “tight rope walk”. These games were probably chosen since they require adequate core muscle control and upper and lower limb muscle strength for rapid and accurate movements. The games challenged the subjects’ balance by requiring them to lean in different directions and to take sharp turns, thus shifting their center of mass to the limits of their base of support. The chosen games also appeared to encourage moderate to vigorous physical exertion. It is interesting to note, that in the pilot study noted above, Agmon et al34 reported safety concerns and muscle strains with the “basic step” and “soccer heading” games, respectively.34 Yet, “soccer heading” was employed in four of the seven studies included in the present review.38,39,42,43,45 Future studies are necessary to optimize the use of Wii-based balance training in terms of game choice and treatment intensity. It has been repeatedly suggested that engaging in fun and challenging VR games may strongly affect an individual’s motivation to apply maximal effort and thus increase overall compliance with treatment.53 Although level of motivation and enjoyment were not documented in the reviewed articles, Wii-based interventions have been reported as enjoyable for balance training in nonimpaired elderly adults,52,54 as well as in individuals following traumatic brain injury.55 Further, one of the reviewed articles reported a very high level of adherence to the program and an interest in continued use of this modality at home.42 In addition to their effect on compliance, Wii-based games are well suited for home-based exercise programs, as they are relatively inexpensive, and do not require large spaces or additional peripheral equipment. These important attributes render this modality particularly appealing for older adults, who are expected to engage in exercise programs to counter the negative consequences of aging and a sedentary lifestyle, but may find it difficult to participate in formal exercise activities that entail time, place, and cost constraints. In conclusion, the present review of seven randomized controlled trials indicates that engaging older adults living in the community in a Wii-based exercise program is feasible and may enhance their balance capabilities. Thus, such programs may serve as an alternative to more conventional forms of exercise aimed at improving balance control. However, studies vary greatly in terms of their methodological quality and the intervention protocols and outcome measures used. Better designed, randomized controlled studies, including larger group sizes, follow-up assessments, as well as more standardized protocols and outcome measures are necessary before definitive statements can be made regarding the potential of a Wii-based intervention as a safe and effective home-based treatment for community living, elderly individuals. Future studies should provide more detailed guidelines as to the optimal treatment and implementation protocols.
Background: Exercise programs that challenge an individual's balance have been shown to reduce the risk of falls among older adults. Virtual reality computer-based technology that provides the user with opportunities to interact with virtual objects is used extensively for entertainment. There is a growing interest in the potential of virtual reality-based interventions for balance training in older adults. This work comprises a systematic review of the literature to determine the effects of intervention programs utilizing the Nintendo Wii console on balance control and functional performance in independently functioning older adults. Methods: STUDIES WERE OBTAINED BY SEARCHING THE FOLLOWING DATABASES: PubMed, CINAHL, PEDro, EMBASE, SPORTdiscus, and Google Scholar, followed by a hand search of bibliographic references of the included studies. Included were randomized controlled trials written in English in which Nintendo Wii Fit was used to enhance standing balance performance in older adults and compared with an alternative exercise treatment, placebo, or no treatment. Results: Seven relevant studies were retrieved. The four studies examining the effect of Wii-based exercise compared with no exercise reported positive effects on at least one outcome measure related to balance performance in older adults. Studies comparing Wii-based training with alternative exercise programs generally indicated that the balance improvements achieved by Wii-based training are comparable with those achieved by other exercise programs. Conclusions: The review indicates that Wii-based exercise programs may serve as an alternative to more conventional forms of exercise aimed at improving balance control. However, due to the great variability between studies in terms of the intervention protocols and outcome measures, as well as methodological limitations, definitive recommendations as to optimal treatment protocols and the potential of such an intervention as a safe and effective home-based treatment cannot be made at this point.
null
null
11,105
338
[ 978, 1541, 191, 285, 132, 151, 152, 243, 82, 88, 301, 381 ]
17
[ "studies", "treatment", "study", "group", "vr", "control", "wii", "balance", "test", "based" ]
[ "tai chi exercises", "fall efficacy", "fall prevention urgent", "falls multifaceted prevention", "effects fall prevention" ]
null
null
[CONTENT] virtual reality | exergame | balance | exercise | falls [SUMMARY]
[CONTENT] virtual reality | exergame | balance | exercise | falls [SUMMARY]
[CONTENT] virtual reality | exergame | balance | exercise | falls [SUMMARY]
null
[CONTENT] virtual reality | exergame | balance | exercise | falls [SUMMARY]
null
[CONTENT] Accidental Falls | Activities of Daily Living | Aged | Exercise Therapy | Humans | Independent Living | Postural Balance | Randomized Controlled Trials as Topic | Therapy, Computer-Assisted | User-Computer Interface | Video Games [SUMMARY]
[CONTENT] Accidental Falls | Activities of Daily Living | Aged | Exercise Therapy | Humans | Independent Living | Postural Balance | Randomized Controlled Trials as Topic | Therapy, Computer-Assisted | User-Computer Interface | Video Games [SUMMARY]
[CONTENT] Accidental Falls | Activities of Daily Living | Aged | Exercise Therapy | Humans | Independent Living | Postural Balance | Randomized Controlled Trials as Topic | Therapy, Computer-Assisted | User-Computer Interface | Video Games [SUMMARY]
null
[CONTENT] Accidental Falls | Activities of Daily Living | Aged | Exercise Therapy | Humans | Independent Living | Postural Balance | Randomized Controlled Trials as Topic | Therapy, Computer-Assisted | User-Computer Interface | Video Games [SUMMARY]
null
[CONTENT] tai chi exercises | fall efficacy | fall prevention urgent | falls multifaceted prevention | effects fall prevention [SUMMARY]
[CONTENT] tai chi exercises | fall efficacy | fall prevention urgent | falls multifaceted prevention | effects fall prevention [SUMMARY]
[CONTENT] tai chi exercises | fall efficacy | fall prevention urgent | falls multifaceted prevention | effects fall prevention [SUMMARY]
null
[CONTENT] tai chi exercises | fall efficacy | fall prevention urgent | falls multifaceted prevention | effects fall prevention [SUMMARY]
null
[CONTENT] studies | treatment | study | group | vr | control | wii | balance | test | based [SUMMARY]
[CONTENT] studies | treatment | study | group | vr | control | wii | balance | test | based [SUMMARY]
[CONTENT] studies | treatment | study | group | vr | control | wii | balance | test | based [SUMMARY]
null
[CONTENT] studies | treatment | study | group | vr | control | wii | balance | test | based [SUMMARY]
null
[CONTENT] ranged | mean | sd | studies | games | control | 85 | received | vr | study [SUMMARY]
[CONTENT] review | final | considered | seven | controlled trials | trials | 39 | randomized controlled trials | randomized | controlled [SUMMARY]
[CONTENT] test | studies | study | 43 | mean | vr | ranged | 45 | 42 | sd [SUMMARY]
null
[CONTENT] studies | test | treatment | control | group | vr | mean | wii | study | ranged [SUMMARY]
null
[CONTENT] ||| ||| ||| Nintendo Wii [SUMMARY]
[CONTENT] OBTAINED ||| PubMed | PEDro | EMBASE | SPORTdiscus | Google Scholar ||| English | Nintendo Wii Fit [SUMMARY]
[CONTENT] Seven ||| four | at least one ||| [SUMMARY]
null
[CONTENT] ||| ||| ||| Nintendo Wii ||| OBTAINED ||| PubMed | PEDro | EMBASE | SPORTdiscus | Google Scholar ||| English | Nintendo Wii Fit ||| ||| Seven ||| four | at least one ||| ||| ||| [SUMMARY]
null
Gonorrhea and Prostate Cancer Incidence: An Updated Meta-Analysis of 21 Epidemiologic Studies.
26126881
The association between gonorrhea and prostate cancer risk has been investigated widely, but the results remain inconsistent and contradictory. We conducted an updated meta-analysis to obtain a more precise estimate of this association.
BACKGROUND
PubMed, EMBASE, and the Cochrane Library were searched for papers up to June 2014 to identify eligible studies. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to assess the influence of gonorrhea on prostate cancer risk.
MATERIAL AND METHODS
Twenty-one observational studies (19 case-control and 2 cohort) were eligible, comprising 9965 prostate cancer patients and 118 765 participants. Pooled results indicated that gonorrhea was significantly associated with increased incidence of prostate cancer (OR 1.31, 95% CI 1.14-1.52). The association between gonorrhea and prostate cancer was stronger in African American males (OR 1.32, 95% CI 1.06-1.65) than in Whites (OR 1.05, 95% CI 0.90-1.21).
RESULTS
Our findings suggest that gonorrhea is associated with an increased risk of prostate cancer, especially among African American males. These results warrant further well-designed, large-scale cohort studies to draw definitive conclusions.
CONCLUSIONS
[ "Gonorrhea", "Humans", "Incidence", "Male", "Prostatic Neoplasms", "Risk Factors" ]
4502545
Background
Cancer of the prostate is the most frequently diagnosed cancer in men, accounting for 27% of new cancer cases in the United States (USA) in 2014. In the same year, 10% of the total cancer deaths in men were due to prostate cancer, the second leading cause of cancer death in this population [1]. Although the cause of prostate cancer remains unknown, its incidence has been associated with age, ethnicity, family history, physical activity, body mass index, diet, region, and sexually transmitted infections [2,3]. The seriousness of this disease warrants a more definitive investigation of its association with a history of sexually transmitted diseases. Gonorrhea is a major public health concern worldwide. Caused by the bacterium Neisseria gonorrhoeae, in the year 2008 the World Health Organization estimated that there were 106 million infected adults globally, making it the most prevalent sexually transmitted bacterial infection [4]. Several epidemiologic studies have investigated an association between gonorrhea infection and incidence of prostate cancer, but results have been inconsistent. According to a meta-analysis published by Dennis et al. [5] in 2002, men with a history of gonorrhea were at elevated risk of prostate cancer (pooled relative risk ratio [RR] 1.36, 95% confidence interval [CI] 1.15–1.61). A meta-analysis reported by Taylor et al. [6] in 2005 also indicated that gonorrhea was associated with increased prostate cancer risk (odds ratio [OR] 1.39, 95% CI 1.05–1.83). However, both of these studies were based predominantly on case-control data for white men. Studies that include African American subjects, serologic measures, and prospective data are lacking. More recently, 2 large, prospective, cohort studies [7,8] and 2 case-control studies [9,10] failed to confirm an association between a history of gonorrhea and prostate cancer. However, some factors were not considered in their analyses that might limit the evaluation of prostate cancer risk. These include adjustments for confounders, study design, study region, ethnicity, the method of gonorrhea exposure assessment, study quality, and the introduction of PSA screening. Herein we provide an updated review and meta-analysis of the association between a history of gonorrhea and incidence of prostate cancer, conducting subgroup analyses based on the factors aforementioned.
Sensitivity analysis
To assess the influence of the individual data sets on the pooled ORs, repeated meta-analyses that excluded each single study in turn were performed. The corresponding pooled ORs were not materially altered.
Results
Literature search Initially, we retrieved 605 articles from the PubMed, EMBASE, and Cochrane Library databases that were relevant to the search terms (Figure 1). Of these, 110 were removed as duplicates, which left 495. By screening the titles and abstracts, 457 articles were excluded because they were reviews, editorials, or otherwise not relevant to our meta-analysis. Through full-text review of the remaining 38 articles, 5 more were found by reviewing the reference lists, while 22 were excluded because the data were incomplete or irrelevant. Finally, 21 studies [7–10,19–35] were included for meta-analysis. Initially, we retrieved 605 articles from the PubMed, EMBASE, and Cochrane Library databases that were relevant to the search terms (Figure 1). Of these, 110 were removed as duplicates, which left 495. By screening the titles and abstracts, 457 articles were excluded because they were reviews, editorials, or otherwise not relevant to our meta-analysis. Through full-text review of the remaining 38 articles, 5 more were found by reviewing the reference lists, while 22 were excluded because the data were incomplete or irrelevant. Finally, 21 studies [7–10,19–35] were included for meta-analysis. Study characteristics Of the 22 included studies, 19 were case-control studies [9,10,19–35] and 2 were cohort studies [7,8]; all were published between 1975 and 2011 (Table 1). Fourteen were conducted in North America [7–9,19–21,23,24,27,30–33,35], 5 in Europe [10,26,28,29,34], and 2 in Asia [22,25]. The sample size per study ranged from 104 to 68 675, with a total of 118 765 participants and 9965 incident cases. Most of these studies adjudged exposure or history of gonorrhea through self-report by the participants, while 2 used medical records [21,27] and 1 used serology for Neisseria gonorrhoeae antibodies [10]. The quality score of studies ranged from 5 stars to 9 stars according to the 9-star Newcastle-Ottawa Scale (Supplementary Table 1). Of the 22 included studies, 19 were case-control studies [9,10,19–35] and 2 were cohort studies [7,8]; all were published between 1975 and 2011 (Table 1). Fourteen were conducted in North America [7–9,19–21,23,24,27,30–33,35], 5 in Europe [10,26,28,29,34], and 2 in Asia [22,25]. The sample size per study ranged from 104 to 68 675, with a total of 118 765 participants and 9965 incident cases. Most of these studies adjudged exposure or history of gonorrhea through self-report by the participants, while 2 used medical records [21,27] and 1 used serology for Neisseria gonorrhoeae antibodies [10]. The quality score of studies ranged from 5 stars to 9 stars according to the 9-star Newcastle-Ottawa Scale (Supplementary Table 1). Meta-analysis results Based on the combined results of the 21 studies, gonorrhea was significantly associated with increased risk of prostate cancer (OR 1.31, 95% CI 1.14–1.52) under the random-effects model (heterogeneity I2=38.2%, P=0.039; Figure 2). The pooled OR did not substantially change even after adjustments for confounders, study quality, or the introduction of PSA screening (Table 2). We also performed subgroup analyses based on study design, study region, ethnicity, and the method of gonorrhea exposure assessment (Table 2). In the subgroup analysis based on study design, we found a significantly increased risk of prostate cancer in the case-control studies (OR 1.41, 95% CI 1.24–1.61), especially in those that were population-based (OR 1.38, 95% CI 1.19–1.61). However, the results from the cohort studies were nil (OR 1.07, 95% CI 0.95–1.21). Regarding geographic area, there was a significant association between gonorrhea and prostate cancer risk in studies conducted in North America (OR 1.33, 95% CI 1.13–1.57), but no significant association was found in studies conducted in Europe (OR 1.18, 95% CI 0.78–1.78) or Asia (OR 1.44, 95% CI 0.84–2.48). The association between gonorrhea and prostate cancer was higher for African American men (OR 1.32, 95% CI 1.06–1.65) than whites (OR 1.05, 95% CI 0.90–1.21). The association was more significant in studies relying on self-reports of gonorrhea exposure (OR 1.34, 95% CI 1.15–1.57) than those that used medical records (OR 1.01, 95% CI 0.56–1.82) or serum antibodies (OR 1.07, 95% CI 0.42–2.73) to determine exposure. Based on the combined results of the 21 studies, gonorrhea was significantly associated with increased risk of prostate cancer (OR 1.31, 95% CI 1.14–1.52) under the random-effects model (heterogeneity I2=38.2%, P=0.039; Figure 2). The pooled OR did not substantially change even after adjustments for confounders, study quality, or the introduction of PSA screening (Table 2). We also performed subgroup analyses based on study design, study region, ethnicity, and the method of gonorrhea exposure assessment (Table 2). In the subgroup analysis based on study design, we found a significantly increased risk of prostate cancer in the case-control studies (OR 1.41, 95% CI 1.24–1.61), especially in those that were population-based (OR 1.38, 95% CI 1.19–1.61). However, the results from the cohort studies were nil (OR 1.07, 95% CI 0.95–1.21). Regarding geographic area, there was a significant association between gonorrhea and prostate cancer risk in studies conducted in North America (OR 1.33, 95% CI 1.13–1.57), but no significant association was found in studies conducted in Europe (OR 1.18, 95% CI 0.78–1.78) or Asia (OR 1.44, 95% CI 0.84–2.48). The association between gonorrhea and prostate cancer was higher for African American men (OR 1.32, 95% CI 1.06–1.65) than whites (OR 1.05, 95% CI 0.90–1.21). The association was more significant in studies relying on self-reports of gonorrhea exposure (OR 1.34, 95% CI 1.15–1.57) than those that used medical records (OR 1.01, 95% CI 0.56–1.82) or serum antibodies (OR 1.07, 95% CI 0.42–2.73) to determine exposure. Sensitivity analysis To assess the influence of the individual data sets on the pooled ORs, repeated meta-analyses that excluded each single study in turn were performed. The corresponding pooled ORs were not materially altered. To assess the influence of the individual data sets on the pooled ORs, repeated meta-analyses that excluded each single study in turn were performed. The corresponding pooled ORs were not materially altered. Publication bias Begg’s funnel plot and Egger’s test were conducted to assess the publication bias of the studies. The shape of the funnel plots did not reveal any evidence of obvious asymmetry (Figure 3), and the results indicated no publication bias (PBegg’s=0.695, PEgger’s=0.054). Begg’s funnel plot and Egger’s test were conducted to assess the publication bias of the studies. The shape of the funnel plots did not reveal any evidence of obvious asymmetry (Figure 3), and the results indicated no publication bias (PBegg’s=0.695, PEgger’s=0.054).
Conclusions
Our analysis found a potential association between gonorrhea and increased risk of prostate cancer, especially among African American males. Because of the limited number of studies, more prospective cohort or intervention studies are warranted to confirm the findings of this meta-analysis. Such findings also warrant investigations of the underlying mechanisms that may be responsible for this association.
[ "Background", "Literature search", "Study selection", "Data extraction and quality score assessment", "Statistical analysis", "Literature search", "Publication bias" ]
[ "Cancer of the prostate is the most frequently diagnosed cancer in men, accounting for 27% of new cancer cases in the United States (USA) in 2014. In the same year, 10% of the total cancer deaths in men were due to prostate cancer, the second leading cause of cancer death in this population [1]. Although the cause of prostate cancer remains unknown, its incidence has been associated with age, ethnicity, family history, physical activity, body mass index, diet, region, and sexually transmitted infections [2,3]. The seriousness of this disease warrants a more definitive investigation of its association with a history of sexually transmitted diseases.\nGonorrhea is a major public health concern worldwide. Caused by the bacterium Neisseria gonorrhoeae, in the year 2008 the World Health Organization estimated that there were 106 million infected adults globally, making it the most prevalent sexually transmitted bacterial infection [4]. Several epidemiologic studies have investigated an association between gonorrhea infection and incidence of prostate cancer, but results have been inconsistent. According to a meta-analysis published by Dennis et al. [5] in 2002, men with a history of gonorrhea were at elevated risk of prostate cancer (pooled relative risk ratio [RR] 1.36, 95% confidence interval [CI] 1.15–1.61). A meta-analysis reported by Taylor et al. [6] in 2005 also indicated that gonorrhea was associated with increased prostate cancer risk (odds ratio [OR] 1.39, 95% CI 1.05–1.83). However, both of these studies were based predominantly on case-control data for white men. Studies that include African American subjects, serologic measures, and prospective data are lacking. More recently, 2 large, prospective, cohort studies [7,8] and 2 case-control studies [9,10] failed to confirm an association between a history of gonorrhea and prostate cancer. However, some factors were not considered in their analyses that might limit the evaluation of prostate cancer risk. These include adjustments for confounders, study design, study region, ethnicity, the method of gonorrhea exposure assessment, study quality, and the introduction of PSA screening.\nHerein we provide an updated review and meta-analysis of the association between a history of gonorrhea and incidence of prostate cancer, conducting subgroup analyses based on the factors aforementioned.", "We performed a systematic search of PubMed, EMBASE, and Cochrane Library databases, for all papers published up to June 2014. The following search terms were used: (gonorrhea OR Neisseria gonorrhoeae OR sexually transmitted diseases OR sexually transmitted infections OR venereal disease) AND (prostate cancer OR prostatic neoplasms OR prostatic cancer OR prostate neoplasms). We also searched the reference lists of all the retrieved articles to identify any other potentially relevant articles.", "To be included in this meta-analysis, the papers had to report a case-control or cohort study; evaluate the association between gonorrhea and the incidence of prostate cancer; provide relative risk ratios, ORs, and 95% CIs, or sufficient information to calculate these; and be published in English. If multiple publications from the same study population were available, only the one with the largest sample size was included.\nStudies were excluded if they did not conform to the inclusion criteria above, or contained duplicate data, or were based on incomplete raw data or irrelevant data. No case reports, letters, reviews, editorials, or correspondence articles were considered.", "Two investigators (Wen-Qing Lian and Fei Luo) independently reviewed and extracted information from all eligible publications, in accordance with the inclusion and exclusion criteria listed above. Disagreement was resolved by discussion between the 2 authors until a consensus was reached. If a consensus could not be reached, a third author (Xian-Lu Song) was consulted and a final decision was determined by majority opinion.\nData extracted from the publications included the first author, year of publication, country in which the study was performed, study design, study period, sample size, ages and ethnicities of the subjects, exposure assessment, and the confounders adjusted for. The subjects’ ethnicities were categorized as white, African American, Asian, other, or mixed (a population with individuals of different ethnicities). For studies conducted in the USA, “blacks” were considered African Americans. When the paper did not specify the ethnicity of the study population, the most probable ethnicity was recorded, based on the predominant ethnic group in the study country.\nThe methodological quality of each eligible study was independently assessed by 2 reviewers (Wen-Qing Lian and Fei Luo) based on the Newcastle-Ottawa scale [11], in which the total score (in stars) can range from 0 to 9. A third party (Xian-Lu Song) was involved if a consensus could not be reached. A study was considered to be of high quality if the Newcastle-Ottawa Scale score was ≥7 stars; studies given 5–6 stars were judged to be of moderate quality.", "Due to the low incidence of prostate cancer, the relative risk ratio can be mathematically approximated by the OR [12]. In the present study, the OR and its 95% CI was used to assess the association between gonorrhea and the risk of prostate cancer. In some studies, risk estimates were stratified according to ethnic categories, and risk to the total group was not reported. For these studies, the study-specific effect size in the overall analysis was recalculated using the inverse-variance method, by pooling the risk estimates of the various ethnic categories [13].\nThe statistical heterogeneity among the studies was evaluated using Cochrane’s Q test and the I2 statistic. Regarding the former (Q), heterogeneity was considered to exist for P<0.1. For P>0.1 and I2<50%, the included studies were identified as having acceptable heterogeneity, and the fixed-effects model was used. Otherwise, the random-effects model was used [14,15].\nTo explore the sources of heterogeneity across studies, subgroup analyses were conducted according to study design (e.g., case-control vs. cohort study and population-based vs. hospital-based case-control study), geographic region (e.g., North America vs. Europe vs. Asia), adjustment of confounders (e.g., crude vs. adjusted), ethnicity (e.g., white vs. African American), exposure assessment (e.g., self-reported vs. medical record vs. serum antibody), and study quality (e.g., high vs. moderate). To determine whether estimates were influenced by the introduction of prostate-specific antigen (PSA) screening, we performed another subgroup analysis (i.e., pre-PSA vs. PSA-era screening) using 1994 as the cutoff [16].\nFor studies that spanned numerous years, we considered the middle year as the determining date. Sensitivity analyses were performed to assess the stability of the results. The influence of individual studies was evaluated by estimating the pooled ORs after omission of each study in turn. Potential publication bias was assessed by visual inspection of Begg’s funnel plots, in which the log relative risk ratios were plotted against their standard errors. We also performed Begg’s and Egger’s tests to assess the presence of publication bias [17,18]. If the P-value for the Egger’s test was <0.05, we assumed that there was publication bias. All of the statistical analyses were performed with STATA statistical software (version 12.0; College Station, TX), using 2-sided P-values.", "Initially, we retrieved 605 articles from the PubMed, EMBASE, and Cochrane Library databases that were relevant to the search terms (Figure 1). Of these, 110 were removed as duplicates, which left 495. By screening the titles and abstracts, 457 articles were excluded because they were reviews, editorials, or otherwise not relevant to our meta-analysis. Through full-text review of the remaining 38 articles, 5 more were found by reviewing the reference lists, while 22 were excluded because the data were incomplete or irrelevant. Finally, 21 studies [7–10,19–35] were included for meta-analysis.", "Begg’s funnel plot and Egger’s test were conducted to assess the publication bias of the studies. The shape of the funnel plots did not reveal any evidence of obvious asymmetry (Figure 3), and the results indicated no publication bias (PBegg’s=0.695, PEgger’s=0.054)." ]
[ null, null, "methods", "methods", "methods", null, null ]
[ "Background", "Material and Methods", "Literature search", "Study selection", "Data extraction and quality score assessment", "Statistical analysis", "Results", "Literature search", "Study characteristics", "Meta-analysis results", "Sensitivity analysis", "Publication bias", "Discussion", "Conclusions", "Supplementary materials" ]
[ "Cancer of the prostate is the most frequently diagnosed cancer in men, accounting for 27% of new cancer cases in the United States (USA) in 2014. In the same year, 10% of the total cancer deaths in men were due to prostate cancer, the second leading cause of cancer death in this population [1]. Although the cause of prostate cancer remains unknown, its incidence has been associated with age, ethnicity, family history, physical activity, body mass index, diet, region, and sexually transmitted infections [2,3]. The seriousness of this disease warrants a more definitive investigation of its association with a history of sexually transmitted diseases.\nGonorrhea is a major public health concern worldwide. Caused by the bacterium Neisseria gonorrhoeae, in the year 2008 the World Health Organization estimated that there were 106 million infected adults globally, making it the most prevalent sexually transmitted bacterial infection [4]. Several epidemiologic studies have investigated an association between gonorrhea infection and incidence of prostate cancer, but results have been inconsistent. According to a meta-analysis published by Dennis et al. [5] in 2002, men with a history of gonorrhea were at elevated risk of prostate cancer (pooled relative risk ratio [RR] 1.36, 95% confidence interval [CI] 1.15–1.61). A meta-analysis reported by Taylor et al. [6] in 2005 also indicated that gonorrhea was associated with increased prostate cancer risk (odds ratio [OR] 1.39, 95% CI 1.05–1.83). However, both of these studies were based predominantly on case-control data for white men. Studies that include African American subjects, serologic measures, and prospective data are lacking. More recently, 2 large, prospective, cohort studies [7,8] and 2 case-control studies [9,10] failed to confirm an association between a history of gonorrhea and prostate cancer. However, some factors were not considered in their analyses that might limit the evaluation of prostate cancer risk. These include adjustments for confounders, study design, study region, ethnicity, the method of gonorrhea exposure assessment, study quality, and the introduction of PSA screening.\nHerein we provide an updated review and meta-analysis of the association between a history of gonorrhea and incidence of prostate cancer, conducting subgroup analyses based on the factors aforementioned.", " Literature search We performed a systematic search of PubMed, EMBASE, and Cochrane Library databases, for all papers published up to June 2014. The following search terms were used: (gonorrhea OR Neisseria gonorrhoeae OR sexually transmitted diseases OR sexually transmitted infections OR venereal disease) AND (prostate cancer OR prostatic neoplasms OR prostatic cancer OR prostate neoplasms). We also searched the reference lists of all the retrieved articles to identify any other potentially relevant articles.\nWe performed a systematic search of PubMed, EMBASE, and Cochrane Library databases, for all papers published up to June 2014. The following search terms were used: (gonorrhea OR Neisseria gonorrhoeae OR sexually transmitted diseases OR sexually transmitted infections OR venereal disease) AND (prostate cancer OR prostatic neoplasms OR prostatic cancer OR prostate neoplasms). We also searched the reference lists of all the retrieved articles to identify any other potentially relevant articles.\n Study selection To be included in this meta-analysis, the papers had to report a case-control or cohort study; evaluate the association between gonorrhea and the incidence of prostate cancer; provide relative risk ratios, ORs, and 95% CIs, or sufficient information to calculate these; and be published in English. If multiple publications from the same study population were available, only the one with the largest sample size was included.\nStudies were excluded if they did not conform to the inclusion criteria above, or contained duplicate data, or were based on incomplete raw data or irrelevant data. No case reports, letters, reviews, editorials, or correspondence articles were considered.\nTo be included in this meta-analysis, the papers had to report a case-control or cohort study; evaluate the association between gonorrhea and the incidence of prostate cancer; provide relative risk ratios, ORs, and 95% CIs, or sufficient information to calculate these; and be published in English. If multiple publications from the same study population were available, only the one with the largest sample size was included.\nStudies were excluded if they did not conform to the inclusion criteria above, or contained duplicate data, or were based on incomplete raw data or irrelevant data. No case reports, letters, reviews, editorials, or correspondence articles were considered.\n Data extraction and quality score assessment Two investigators (Wen-Qing Lian and Fei Luo) independently reviewed and extracted information from all eligible publications, in accordance with the inclusion and exclusion criteria listed above. Disagreement was resolved by discussion between the 2 authors until a consensus was reached. If a consensus could not be reached, a third author (Xian-Lu Song) was consulted and a final decision was determined by majority opinion.\nData extracted from the publications included the first author, year of publication, country in which the study was performed, study design, study period, sample size, ages and ethnicities of the subjects, exposure assessment, and the confounders adjusted for. The subjects’ ethnicities were categorized as white, African American, Asian, other, or mixed (a population with individuals of different ethnicities). For studies conducted in the USA, “blacks” were considered African Americans. When the paper did not specify the ethnicity of the study population, the most probable ethnicity was recorded, based on the predominant ethnic group in the study country.\nThe methodological quality of each eligible study was independently assessed by 2 reviewers (Wen-Qing Lian and Fei Luo) based on the Newcastle-Ottawa scale [11], in which the total score (in stars) can range from 0 to 9. A third party (Xian-Lu Song) was involved if a consensus could not be reached. A study was considered to be of high quality if the Newcastle-Ottawa Scale score was ≥7 stars; studies given 5–6 stars were judged to be of moderate quality.\nTwo investigators (Wen-Qing Lian and Fei Luo) independently reviewed and extracted information from all eligible publications, in accordance with the inclusion and exclusion criteria listed above. Disagreement was resolved by discussion between the 2 authors until a consensus was reached. If a consensus could not be reached, a third author (Xian-Lu Song) was consulted and a final decision was determined by majority opinion.\nData extracted from the publications included the first author, year of publication, country in which the study was performed, study design, study period, sample size, ages and ethnicities of the subjects, exposure assessment, and the confounders adjusted for. The subjects’ ethnicities were categorized as white, African American, Asian, other, or mixed (a population with individuals of different ethnicities). For studies conducted in the USA, “blacks” were considered African Americans. When the paper did not specify the ethnicity of the study population, the most probable ethnicity was recorded, based on the predominant ethnic group in the study country.\nThe methodological quality of each eligible study was independently assessed by 2 reviewers (Wen-Qing Lian and Fei Luo) based on the Newcastle-Ottawa scale [11], in which the total score (in stars) can range from 0 to 9. A third party (Xian-Lu Song) was involved if a consensus could not be reached. A study was considered to be of high quality if the Newcastle-Ottawa Scale score was ≥7 stars; studies given 5–6 stars were judged to be of moderate quality.\n Statistical analysis Due to the low incidence of prostate cancer, the relative risk ratio can be mathematically approximated by the OR [12]. In the present study, the OR and its 95% CI was used to assess the association between gonorrhea and the risk of prostate cancer. In some studies, risk estimates were stratified according to ethnic categories, and risk to the total group was not reported. For these studies, the study-specific effect size in the overall analysis was recalculated using the inverse-variance method, by pooling the risk estimates of the various ethnic categories [13].\nThe statistical heterogeneity among the studies was evaluated using Cochrane’s Q test and the I2 statistic. Regarding the former (Q), heterogeneity was considered to exist for P<0.1. For P>0.1 and I2<50%, the included studies were identified as having acceptable heterogeneity, and the fixed-effects model was used. Otherwise, the random-effects model was used [14,15].\nTo explore the sources of heterogeneity across studies, subgroup analyses were conducted according to study design (e.g., case-control vs. cohort study and population-based vs. hospital-based case-control study), geographic region (e.g., North America vs. Europe vs. Asia), adjustment of confounders (e.g., crude vs. adjusted), ethnicity (e.g., white vs. African American), exposure assessment (e.g., self-reported vs. medical record vs. serum antibody), and study quality (e.g., high vs. moderate). To determine whether estimates were influenced by the introduction of prostate-specific antigen (PSA) screening, we performed another subgroup analysis (i.e., pre-PSA vs. PSA-era screening) using 1994 as the cutoff [16].\nFor studies that spanned numerous years, we considered the middle year as the determining date. Sensitivity analyses were performed to assess the stability of the results. The influence of individual studies was evaluated by estimating the pooled ORs after omission of each study in turn. Potential publication bias was assessed by visual inspection of Begg’s funnel plots, in which the log relative risk ratios were plotted against their standard errors. We also performed Begg’s and Egger’s tests to assess the presence of publication bias [17,18]. If the P-value for the Egger’s test was <0.05, we assumed that there was publication bias. All of the statistical analyses were performed with STATA statistical software (version 12.0; College Station, TX), using 2-sided P-values.\nDue to the low incidence of prostate cancer, the relative risk ratio can be mathematically approximated by the OR [12]. In the present study, the OR and its 95% CI was used to assess the association between gonorrhea and the risk of prostate cancer. In some studies, risk estimates were stratified according to ethnic categories, and risk to the total group was not reported. For these studies, the study-specific effect size in the overall analysis was recalculated using the inverse-variance method, by pooling the risk estimates of the various ethnic categories [13].\nThe statistical heterogeneity among the studies was evaluated using Cochrane’s Q test and the I2 statistic. Regarding the former (Q), heterogeneity was considered to exist for P<0.1. For P>0.1 and I2<50%, the included studies were identified as having acceptable heterogeneity, and the fixed-effects model was used. Otherwise, the random-effects model was used [14,15].\nTo explore the sources of heterogeneity across studies, subgroup analyses were conducted according to study design (e.g., case-control vs. cohort study and population-based vs. hospital-based case-control study), geographic region (e.g., North America vs. Europe vs. Asia), adjustment of confounders (e.g., crude vs. adjusted), ethnicity (e.g., white vs. African American), exposure assessment (e.g., self-reported vs. medical record vs. serum antibody), and study quality (e.g., high vs. moderate). To determine whether estimates were influenced by the introduction of prostate-specific antigen (PSA) screening, we performed another subgroup analysis (i.e., pre-PSA vs. PSA-era screening) using 1994 as the cutoff [16].\nFor studies that spanned numerous years, we considered the middle year as the determining date. Sensitivity analyses were performed to assess the stability of the results. The influence of individual studies was evaluated by estimating the pooled ORs after omission of each study in turn. Potential publication bias was assessed by visual inspection of Begg’s funnel plots, in which the log relative risk ratios were plotted against their standard errors. We also performed Begg’s and Egger’s tests to assess the presence of publication bias [17,18]. If the P-value for the Egger’s test was <0.05, we assumed that there was publication bias. All of the statistical analyses were performed with STATA statistical software (version 12.0; College Station, TX), using 2-sided P-values.", "We performed a systematic search of PubMed, EMBASE, and Cochrane Library databases, for all papers published up to June 2014. The following search terms were used: (gonorrhea OR Neisseria gonorrhoeae OR sexually transmitted diseases OR sexually transmitted infections OR venereal disease) AND (prostate cancer OR prostatic neoplasms OR prostatic cancer OR prostate neoplasms). We also searched the reference lists of all the retrieved articles to identify any other potentially relevant articles.", "To be included in this meta-analysis, the papers had to report a case-control or cohort study; evaluate the association between gonorrhea and the incidence of prostate cancer; provide relative risk ratios, ORs, and 95% CIs, or sufficient information to calculate these; and be published in English. If multiple publications from the same study population were available, only the one with the largest sample size was included.\nStudies were excluded if they did not conform to the inclusion criteria above, or contained duplicate data, or were based on incomplete raw data or irrelevant data. No case reports, letters, reviews, editorials, or correspondence articles were considered.", "Two investigators (Wen-Qing Lian and Fei Luo) independently reviewed and extracted information from all eligible publications, in accordance with the inclusion and exclusion criteria listed above. Disagreement was resolved by discussion between the 2 authors until a consensus was reached. If a consensus could not be reached, a third author (Xian-Lu Song) was consulted and a final decision was determined by majority opinion.\nData extracted from the publications included the first author, year of publication, country in which the study was performed, study design, study period, sample size, ages and ethnicities of the subjects, exposure assessment, and the confounders adjusted for. The subjects’ ethnicities were categorized as white, African American, Asian, other, or mixed (a population with individuals of different ethnicities). For studies conducted in the USA, “blacks” were considered African Americans. When the paper did not specify the ethnicity of the study population, the most probable ethnicity was recorded, based on the predominant ethnic group in the study country.\nThe methodological quality of each eligible study was independently assessed by 2 reviewers (Wen-Qing Lian and Fei Luo) based on the Newcastle-Ottawa scale [11], in which the total score (in stars) can range from 0 to 9. A third party (Xian-Lu Song) was involved if a consensus could not be reached. A study was considered to be of high quality if the Newcastle-Ottawa Scale score was ≥7 stars; studies given 5–6 stars were judged to be of moderate quality.", "Due to the low incidence of prostate cancer, the relative risk ratio can be mathematically approximated by the OR [12]. In the present study, the OR and its 95% CI was used to assess the association between gonorrhea and the risk of prostate cancer. In some studies, risk estimates were stratified according to ethnic categories, and risk to the total group was not reported. For these studies, the study-specific effect size in the overall analysis was recalculated using the inverse-variance method, by pooling the risk estimates of the various ethnic categories [13].\nThe statistical heterogeneity among the studies was evaluated using Cochrane’s Q test and the I2 statistic. Regarding the former (Q), heterogeneity was considered to exist for P<0.1. For P>0.1 and I2<50%, the included studies were identified as having acceptable heterogeneity, and the fixed-effects model was used. Otherwise, the random-effects model was used [14,15].\nTo explore the sources of heterogeneity across studies, subgroup analyses were conducted according to study design (e.g., case-control vs. cohort study and population-based vs. hospital-based case-control study), geographic region (e.g., North America vs. Europe vs. Asia), adjustment of confounders (e.g., crude vs. adjusted), ethnicity (e.g., white vs. African American), exposure assessment (e.g., self-reported vs. medical record vs. serum antibody), and study quality (e.g., high vs. moderate). To determine whether estimates were influenced by the introduction of prostate-specific antigen (PSA) screening, we performed another subgroup analysis (i.e., pre-PSA vs. PSA-era screening) using 1994 as the cutoff [16].\nFor studies that spanned numerous years, we considered the middle year as the determining date. Sensitivity analyses were performed to assess the stability of the results. The influence of individual studies was evaluated by estimating the pooled ORs after omission of each study in turn. Potential publication bias was assessed by visual inspection of Begg’s funnel plots, in which the log relative risk ratios were plotted against their standard errors. We also performed Begg’s and Egger’s tests to assess the presence of publication bias [17,18]. If the P-value for the Egger’s test was <0.05, we assumed that there was publication bias. All of the statistical analyses were performed with STATA statistical software (version 12.0; College Station, TX), using 2-sided P-values.", " Literature search Initially, we retrieved 605 articles from the PubMed, EMBASE, and Cochrane Library databases that were relevant to the search terms (Figure 1). Of these, 110 were removed as duplicates, which left 495. By screening the titles and abstracts, 457 articles were excluded because they were reviews, editorials, or otherwise not relevant to our meta-analysis. Through full-text review of the remaining 38 articles, 5 more were found by reviewing the reference lists, while 22 were excluded because the data were incomplete or irrelevant. Finally, 21 studies [7–10,19–35] were included for meta-analysis.\nInitially, we retrieved 605 articles from the PubMed, EMBASE, and Cochrane Library databases that were relevant to the search terms (Figure 1). Of these, 110 were removed as duplicates, which left 495. By screening the titles and abstracts, 457 articles were excluded because they were reviews, editorials, or otherwise not relevant to our meta-analysis. Through full-text review of the remaining 38 articles, 5 more were found by reviewing the reference lists, while 22 were excluded because the data were incomplete or irrelevant. Finally, 21 studies [7–10,19–35] were included for meta-analysis.\n Study characteristics Of the 22 included studies, 19 were case-control studies [9,10,19–35] and 2 were cohort studies [7,8]; all were published between 1975 and 2011 (Table 1). Fourteen were conducted in North America [7–9,19–21,23,24,27,30–33,35], 5 in Europe [10,26,28,29,34], and 2 in Asia [22,25]. The sample size per study ranged from 104 to 68 675, with a total of 118 765 participants and 9965 incident cases.\nMost of these studies adjudged exposure or history of gonorrhea through self-report by the participants, while 2 used medical records [21,27] and 1 used serology for Neisseria gonorrhoeae antibodies [10]. The quality score of studies ranged from 5 stars to 9 stars according to the 9-star Newcastle-Ottawa Scale (Supplementary Table 1).\nOf the 22 included studies, 19 were case-control studies [9,10,19–35] and 2 were cohort studies [7,8]; all were published between 1975 and 2011 (Table 1). Fourteen were conducted in North America [7–9,19–21,23,24,27,30–33,35], 5 in Europe [10,26,28,29,34], and 2 in Asia [22,25]. The sample size per study ranged from 104 to 68 675, with a total of 118 765 participants and 9965 incident cases.\nMost of these studies adjudged exposure or history of gonorrhea through self-report by the participants, while 2 used medical records [21,27] and 1 used serology for Neisseria gonorrhoeae antibodies [10]. The quality score of studies ranged from 5 stars to 9 stars according to the 9-star Newcastle-Ottawa Scale (Supplementary Table 1).\n Meta-analysis results Based on the combined results of the 21 studies, gonorrhea was significantly associated with increased risk of prostate cancer (OR 1.31, 95% CI 1.14–1.52) under the random-effects model (heterogeneity I2=38.2%, P=0.039; Figure 2). The pooled OR did not substantially change even after adjustments for confounders, study quality, or the introduction of PSA screening (Table 2).\nWe also performed subgroup analyses based on study design, study region, ethnicity, and the method of gonorrhea exposure assessment (Table 2). In the subgroup analysis based on study design, we found a significantly increased risk of prostate cancer in the case-control studies (OR 1.41, 95% CI 1.24–1.61), especially in those that were population-based (OR 1.38, 95% CI 1.19–1.61). However, the results from the cohort studies were nil (OR 1.07, 95% CI 0.95–1.21).\nRegarding geographic area, there was a significant association between gonorrhea and prostate cancer risk in studies conducted in North America (OR 1.33, 95% CI 1.13–1.57), but no significant association was found in studies conducted in Europe (OR 1.18, 95% CI 0.78–1.78) or Asia (OR 1.44, 95% CI 0.84–2.48). The association between gonorrhea and prostate cancer was higher for African American men (OR 1.32, 95% CI 1.06–1.65) than whites (OR 1.05, 95% CI 0.90–1.21). The association was more significant in studies relying on self-reports of gonorrhea exposure (OR 1.34, 95% CI 1.15–1.57) than those that used medical records (OR 1.01, 95% CI 0.56–1.82) or serum antibodies (OR 1.07, 95% CI 0.42–2.73) to determine exposure.\nBased on the combined results of the 21 studies, gonorrhea was significantly associated with increased risk of prostate cancer (OR 1.31, 95% CI 1.14–1.52) under the random-effects model (heterogeneity I2=38.2%, P=0.039; Figure 2). The pooled OR did not substantially change even after adjustments for confounders, study quality, or the introduction of PSA screening (Table 2).\nWe also performed subgroup analyses based on study design, study region, ethnicity, and the method of gonorrhea exposure assessment (Table 2). In the subgroup analysis based on study design, we found a significantly increased risk of prostate cancer in the case-control studies (OR 1.41, 95% CI 1.24–1.61), especially in those that were population-based (OR 1.38, 95% CI 1.19–1.61). However, the results from the cohort studies were nil (OR 1.07, 95% CI 0.95–1.21).\nRegarding geographic area, there was a significant association between gonorrhea and prostate cancer risk in studies conducted in North America (OR 1.33, 95% CI 1.13–1.57), but no significant association was found in studies conducted in Europe (OR 1.18, 95% CI 0.78–1.78) or Asia (OR 1.44, 95% CI 0.84–2.48). The association between gonorrhea and prostate cancer was higher for African American men (OR 1.32, 95% CI 1.06–1.65) than whites (OR 1.05, 95% CI 0.90–1.21). The association was more significant in studies relying on self-reports of gonorrhea exposure (OR 1.34, 95% CI 1.15–1.57) than those that used medical records (OR 1.01, 95% CI 0.56–1.82) or serum antibodies (OR 1.07, 95% CI 0.42–2.73) to determine exposure.\n Sensitivity analysis To assess the influence of the individual data sets on the pooled ORs, repeated meta-analyses that excluded each single study in turn were performed. The corresponding pooled ORs were not materially altered.\nTo assess the influence of the individual data sets on the pooled ORs, repeated meta-analyses that excluded each single study in turn were performed. The corresponding pooled ORs were not materially altered.\n Publication bias Begg’s funnel plot and Egger’s test were conducted to assess the publication bias of the studies. The shape of the funnel plots did not reveal any evidence of obvious asymmetry (Figure 3), and the results indicated no publication bias (PBegg’s=0.695, PEgger’s=0.054).\nBegg’s funnel plot and Egger’s test were conducted to assess the publication bias of the studies. The shape of the funnel plots did not reveal any evidence of obvious asymmetry (Figure 3), and the results indicated no publication bias (PBegg’s=0.695, PEgger’s=0.054).", "Initially, we retrieved 605 articles from the PubMed, EMBASE, and Cochrane Library databases that were relevant to the search terms (Figure 1). Of these, 110 were removed as duplicates, which left 495. By screening the titles and abstracts, 457 articles were excluded because they were reviews, editorials, or otherwise not relevant to our meta-analysis. Through full-text review of the remaining 38 articles, 5 more were found by reviewing the reference lists, while 22 were excluded because the data were incomplete or irrelevant. Finally, 21 studies [7–10,19–35] were included for meta-analysis.", "Of the 22 included studies, 19 were case-control studies [9,10,19–35] and 2 were cohort studies [7,8]; all were published between 1975 and 2011 (Table 1). Fourteen were conducted in North America [7–9,19–21,23,24,27,30–33,35], 5 in Europe [10,26,28,29,34], and 2 in Asia [22,25]. The sample size per study ranged from 104 to 68 675, with a total of 118 765 participants and 9965 incident cases.\nMost of these studies adjudged exposure or history of gonorrhea through self-report by the participants, while 2 used medical records [21,27] and 1 used serology for Neisseria gonorrhoeae antibodies [10]. The quality score of studies ranged from 5 stars to 9 stars according to the 9-star Newcastle-Ottawa Scale (Supplementary Table 1).", "Based on the combined results of the 21 studies, gonorrhea was significantly associated with increased risk of prostate cancer (OR 1.31, 95% CI 1.14–1.52) under the random-effects model (heterogeneity I2=38.2%, P=0.039; Figure 2). The pooled OR did not substantially change even after adjustments for confounders, study quality, or the introduction of PSA screening (Table 2).\nWe also performed subgroup analyses based on study design, study region, ethnicity, and the method of gonorrhea exposure assessment (Table 2). In the subgroup analysis based on study design, we found a significantly increased risk of prostate cancer in the case-control studies (OR 1.41, 95% CI 1.24–1.61), especially in those that were population-based (OR 1.38, 95% CI 1.19–1.61). However, the results from the cohort studies were nil (OR 1.07, 95% CI 0.95–1.21).\nRegarding geographic area, there was a significant association between gonorrhea and prostate cancer risk in studies conducted in North America (OR 1.33, 95% CI 1.13–1.57), but no significant association was found in studies conducted in Europe (OR 1.18, 95% CI 0.78–1.78) or Asia (OR 1.44, 95% CI 0.84–2.48). The association between gonorrhea and prostate cancer was higher for African American men (OR 1.32, 95% CI 1.06–1.65) than whites (OR 1.05, 95% CI 0.90–1.21). The association was more significant in studies relying on self-reports of gonorrhea exposure (OR 1.34, 95% CI 1.15–1.57) than those that used medical records (OR 1.01, 95% CI 0.56–1.82) or serum antibodies (OR 1.07, 95% CI 0.42–2.73) to determine exposure.", "To assess the influence of the individual data sets on the pooled ORs, repeated meta-analyses that excluded each single study in turn were performed. The corresponding pooled ORs were not materially altered.", "Begg’s funnel plot and Egger’s test were conducted to assess the publication bias of the studies. The shape of the funnel plots did not reveal any evidence of obvious asymmetry (Figure 3), and the results indicated no publication bias (PBegg’s=0.695, PEgger’s=0.054).", "We performed a meta-analysis of 21 relevant studies published up to June 2014 to determine the association between a history of gonorrhea and prostate cancer, and found a significantly increased risk of prostate cancer among men with prior gonorrhea.\nOur results were consistent with the meta-analyses of case-control studies conducted by Dennis et al. [5] in 2002 and Taylor et al. [6] in 2005. However, the present meta-analysis involved 19 case-control studies and 2 cohort studies, and while a significant increased risk of prostate cancer was found from the case-control studies, the association according to the cohort studies was nil. The discrepancy between the case-control and cohort studies might be due to the potential bias of case-control studies, including selection bias or recall bias. We also found that there was a stronger association shown in population-based case-control studies than in hospital-based case-control studies. Although both population- and hospital-based case-control studies contain biases, we consider the former more reliable because the cases and controls are more representative.\nIn the present study, subgroup analyses by ethnicity revealed a stronger association between a history of gonorrhea and prostate cancer among African Americans than among whites. These results suggest that ethnic or cultural differences exist in susceptibility to prostate cancer after gonorrhea exposure. However, this finding should be cautiously interpreted. Data from the Centers for Disease Control and Prevention (CDC) in the United States showed that in 2012 the gonorrhea rate among African American males (467.7 cases per 100 000 population) was 16 times the gonorrhea rate among white males (28.8 cases per 100 000 population), and the disparities were striking across all age groups and regions [36]. Kwame Owusu-Edusei Jr. et al. [37] also found that racial disparities in income were associated with racial disparities in gonorrhea rates. In addition, the higher gonorrhea rates might be due to the average lower rate of insurance, later diagnosis, less effective treatment, and greater incidence of relevant genetic polymorphisms in African Americans. Because rates of gonorrhea infection and rates of prostate cancer are each higher among African American men than among white men, we consider that many factors influencing these rates likely exist that are beyond the scope of this analysis, and any conclusions require further verification.\nIn the present meta-analysis, subgroup analysis showed that gonorrhea was significantly associated with increased incidence of prostate cancer in North America, but not in Europe or Asia. One possible explanation for this finding is that there was not sufficient published evidence representing European (5 studies) and Asian (2 studies) countries. This is possibly due to the exclusion criteria of the study, since we only included articles published in English. Other potential factors are the relatively low incidence of prostate cancer in Asians and the greater incidence in African Americans.\nIn this study, we found a significant association between gonorrhea and prostate cancer risk in the studies in which the history of gonorrhea was based on self-reports of the subjects, while the association was insignificant in studies that used medical records or serum antibodies. This finding may be due to the small number of studies that used medical records (2 studies) or serum antibodies (1 study).\nThe potential biological mechanisms that link gonorrhea and prostate cancer remain unclear. A general association between infections, infection-induced chronic inflammation, and the development of cancer is well-known [38], and increasing evidence indicates that chronic inflammatory states contribute to prostate carcinogenesis [39]. Gonorrhea infection by Neisseria gonorrhoeae has been shown to induce a chronic inflammatory environment within the prostate. Inflammatory cells are recruited after damage or an infection, and they can secrete a large number of cytokines (e.g., interleukin 6) and chemokines (e.g., interleukin 8) that promote the growth of neoplastic cells and ultimately lead to carcinogenesis within the prostate [40,41]. The longer the inflammation persists, the higher the risk of cancer [42]. Evidence from pathology also shows that proliferative inflammatory atrophy, which is often associated with chronic and, at times, acute inflammation, may be the direct precursor lesion to prostatic intraepithelial neoplasia, prostate cancer, or both [43]. In addition, several genes have been studied for their role in prostate cancer development, and in some cases, (e.g., ribonuclease L[RNASEL]/ hereditary prostate cancer 1 [HPC1], toll-like receptor 4 [TLR4], macrophage scavenger receptor 1 [MSR1]) mutations or variants in these genes also increase an individual’s susceptibility to infection [44].\nThe present meta-analysis has some limitations. First, most of the included studies were case-control studies, which are susceptible to recall and selection biases. The statistical effect of these kinds of biases might be reduced somewhat by cohort studies, but we found only 2 suitable cohort studies. Second, the method for determining gonorrhea history or exposure varied across the studies. Gonorrhea history was mostly based on the self-report of the subjects and only 1 study conducted serological tests. This could distort the findings. Third, substantial heterogeneity was observed among the studies, although we were able to find the major sources of heterogeneity through subgroup analyses. Fourth, our results may also have been biased by restricting studies to those published in English, but there was no evidence of publication bias, based on either Egger’s or Begg’s test. Fifth, the effect of gonorrhea on prostate cancer outcomes may be different for cases of prostate cancer detected in the early stages through PSA screening than for patients who had aggressive fatalities before PSA screening was widely available. However, the pooled ORs in the pre-PSA and PSA-era subgroups were similar. Moreover, data stratified by prostate cancer aggressiveness were not available from the included studies. We also note that, although we performed a careful search for papers published up to June 2014, the 21 included studies all appeared between 1975 and 2011.", "Our analysis found a potential association between gonorrhea and increased risk of prostate cancer, especially among African American males. Because of the limited number of studies, more prospective cohort or intervention studies are warranted to confirm the findings of this meta-analysis. Such findings also warrant investigations of the underlying mechanisms that may be responsible for this association.", "Quality assessment using the Newcastle-Ottawa Scale." ]
[ null, "materials|methods", null, "methods", "methods", "methods", "results", null, "intro|methods", "methods|results", "methods", null, "discussion", "conclusions", "supplementary-material" ]
[ "Gonorrhea", "Meta-Analysis", "Prostatic Neoplasms", "Sexually Transmitted Diseases" ]
Background: Cancer of the prostate is the most frequently diagnosed cancer in men, accounting for 27% of new cancer cases in the United States (USA) in 2014. In the same year, 10% of the total cancer deaths in men were due to prostate cancer, the second leading cause of cancer death in this population [1]. Although the cause of prostate cancer remains unknown, its incidence has been associated with age, ethnicity, family history, physical activity, body mass index, diet, region, and sexually transmitted infections [2,3]. The seriousness of this disease warrants a more definitive investigation of its association with a history of sexually transmitted diseases. Gonorrhea is a major public health concern worldwide. Caused by the bacterium Neisseria gonorrhoeae, in the year 2008 the World Health Organization estimated that there were 106 million infected adults globally, making it the most prevalent sexually transmitted bacterial infection [4]. Several epidemiologic studies have investigated an association between gonorrhea infection and incidence of prostate cancer, but results have been inconsistent. According to a meta-analysis published by Dennis et al. [5] in 2002, men with a history of gonorrhea were at elevated risk of prostate cancer (pooled relative risk ratio [RR] 1.36, 95% confidence interval [CI] 1.15–1.61). A meta-analysis reported by Taylor et al. [6] in 2005 also indicated that gonorrhea was associated with increased prostate cancer risk (odds ratio [OR] 1.39, 95% CI 1.05–1.83). However, both of these studies were based predominantly on case-control data for white men. Studies that include African American subjects, serologic measures, and prospective data are lacking. More recently, 2 large, prospective, cohort studies [7,8] and 2 case-control studies [9,10] failed to confirm an association between a history of gonorrhea and prostate cancer. However, some factors were not considered in their analyses that might limit the evaluation of prostate cancer risk. These include adjustments for confounders, study design, study region, ethnicity, the method of gonorrhea exposure assessment, study quality, and the introduction of PSA screening. Herein we provide an updated review and meta-analysis of the association between a history of gonorrhea and incidence of prostate cancer, conducting subgroup analyses based on the factors aforementioned. Material and Methods: Literature search We performed a systematic search of PubMed, EMBASE, and Cochrane Library databases, for all papers published up to June 2014. The following search terms were used: (gonorrhea OR Neisseria gonorrhoeae OR sexually transmitted diseases OR sexually transmitted infections OR venereal disease) AND (prostate cancer OR prostatic neoplasms OR prostatic cancer OR prostate neoplasms). We also searched the reference lists of all the retrieved articles to identify any other potentially relevant articles. We performed a systematic search of PubMed, EMBASE, and Cochrane Library databases, for all papers published up to June 2014. The following search terms were used: (gonorrhea OR Neisseria gonorrhoeae OR sexually transmitted diseases OR sexually transmitted infections OR venereal disease) AND (prostate cancer OR prostatic neoplasms OR prostatic cancer OR prostate neoplasms). We also searched the reference lists of all the retrieved articles to identify any other potentially relevant articles. Study selection To be included in this meta-analysis, the papers had to report a case-control or cohort study; evaluate the association between gonorrhea and the incidence of prostate cancer; provide relative risk ratios, ORs, and 95% CIs, or sufficient information to calculate these; and be published in English. If multiple publications from the same study population were available, only the one with the largest sample size was included. Studies were excluded if they did not conform to the inclusion criteria above, or contained duplicate data, or were based on incomplete raw data or irrelevant data. No case reports, letters, reviews, editorials, or correspondence articles were considered. To be included in this meta-analysis, the papers had to report a case-control or cohort study; evaluate the association between gonorrhea and the incidence of prostate cancer; provide relative risk ratios, ORs, and 95% CIs, or sufficient information to calculate these; and be published in English. If multiple publications from the same study population were available, only the one with the largest sample size was included. Studies were excluded if they did not conform to the inclusion criteria above, or contained duplicate data, or were based on incomplete raw data or irrelevant data. No case reports, letters, reviews, editorials, or correspondence articles were considered. Data extraction and quality score assessment Two investigators (Wen-Qing Lian and Fei Luo) independently reviewed and extracted information from all eligible publications, in accordance with the inclusion and exclusion criteria listed above. Disagreement was resolved by discussion between the 2 authors until a consensus was reached. If a consensus could not be reached, a third author (Xian-Lu Song) was consulted and a final decision was determined by majority opinion. Data extracted from the publications included the first author, year of publication, country in which the study was performed, study design, study period, sample size, ages and ethnicities of the subjects, exposure assessment, and the confounders adjusted for. The subjects’ ethnicities were categorized as white, African American, Asian, other, or mixed (a population with individuals of different ethnicities). For studies conducted in the USA, “blacks” were considered African Americans. When the paper did not specify the ethnicity of the study population, the most probable ethnicity was recorded, based on the predominant ethnic group in the study country. The methodological quality of each eligible study was independently assessed by 2 reviewers (Wen-Qing Lian and Fei Luo) based on the Newcastle-Ottawa scale [11], in which the total score (in stars) can range from 0 to 9. A third party (Xian-Lu Song) was involved if a consensus could not be reached. A study was considered to be of high quality if the Newcastle-Ottawa Scale score was ≥7 stars; studies given 5–6 stars were judged to be of moderate quality. Two investigators (Wen-Qing Lian and Fei Luo) independently reviewed and extracted information from all eligible publications, in accordance with the inclusion and exclusion criteria listed above. Disagreement was resolved by discussion between the 2 authors until a consensus was reached. If a consensus could not be reached, a third author (Xian-Lu Song) was consulted and a final decision was determined by majority opinion. Data extracted from the publications included the first author, year of publication, country in which the study was performed, study design, study period, sample size, ages and ethnicities of the subjects, exposure assessment, and the confounders adjusted for. The subjects’ ethnicities were categorized as white, African American, Asian, other, or mixed (a population with individuals of different ethnicities). For studies conducted in the USA, “blacks” were considered African Americans. When the paper did not specify the ethnicity of the study population, the most probable ethnicity was recorded, based on the predominant ethnic group in the study country. The methodological quality of each eligible study was independently assessed by 2 reviewers (Wen-Qing Lian and Fei Luo) based on the Newcastle-Ottawa scale [11], in which the total score (in stars) can range from 0 to 9. A third party (Xian-Lu Song) was involved if a consensus could not be reached. A study was considered to be of high quality if the Newcastle-Ottawa Scale score was ≥7 stars; studies given 5–6 stars were judged to be of moderate quality. Statistical analysis Due to the low incidence of prostate cancer, the relative risk ratio can be mathematically approximated by the OR [12]. In the present study, the OR and its 95% CI was used to assess the association between gonorrhea and the risk of prostate cancer. In some studies, risk estimates were stratified according to ethnic categories, and risk to the total group was not reported. For these studies, the study-specific effect size in the overall analysis was recalculated using the inverse-variance method, by pooling the risk estimates of the various ethnic categories [13]. The statistical heterogeneity among the studies was evaluated using Cochrane’s Q test and the I2 statistic. Regarding the former (Q), heterogeneity was considered to exist for P<0.1. For P>0.1 and I2<50%, the included studies were identified as having acceptable heterogeneity, and the fixed-effects model was used. Otherwise, the random-effects model was used [14,15]. To explore the sources of heterogeneity across studies, subgroup analyses were conducted according to study design (e.g., case-control vs. cohort study and population-based vs. hospital-based case-control study), geographic region (e.g., North America vs. Europe vs. Asia), adjustment of confounders (e.g., crude vs. adjusted), ethnicity (e.g., white vs. African American), exposure assessment (e.g., self-reported vs. medical record vs. serum antibody), and study quality (e.g., high vs. moderate). To determine whether estimates were influenced by the introduction of prostate-specific antigen (PSA) screening, we performed another subgroup analysis (i.e., pre-PSA vs. PSA-era screening) using 1994 as the cutoff [16]. For studies that spanned numerous years, we considered the middle year as the determining date. Sensitivity analyses were performed to assess the stability of the results. The influence of individual studies was evaluated by estimating the pooled ORs after omission of each study in turn. Potential publication bias was assessed by visual inspection of Begg’s funnel plots, in which the log relative risk ratios were plotted against their standard errors. We also performed Begg’s and Egger’s tests to assess the presence of publication bias [17,18]. If the P-value for the Egger’s test was <0.05, we assumed that there was publication bias. All of the statistical analyses were performed with STATA statistical software (version 12.0; College Station, TX), using 2-sided P-values. Due to the low incidence of prostate cancer, the relative risk ratio can be mathematically approximated by the OR [12]. In the present study, the OR and its 95% CI was used to assess the association between gonorrhea and the risk of prostate cancer. In some studies, risk estimates were stratified according to ethnic categories, and risk to the total group was not reported. For these studies, the study-specific effect size in the overall analysis was recalculated using the inverse-variance method, by pooling the risk estimates of the various ethnic categories [13]. The statistical heterogeneity among the studies was evaluated using Cochrane’s Q test and the I2 statistic. Regarding the former (Q), heterogeneity was considered to exist for P<0.1. For P>0.1 and I2<50%, the included studies were identified as having acceptable heterogeneity, and the fixed-effects model was used. Otherwise, the random-effects model was used [14,15]. To explore the sources of heterogeneity across studies, subgroup analyses were conducted according to study design (e.g., case-control vs. cohort study and population-based vs. hospital-based case-control study), geographic region (e.g., North America vs. Europe vs. Asia), adjustment of confounders (e.g., crude vs. adjusted), ethnicity (e.g., white vs. African American), exposure assessment (e.g., self-reported vs. medical record vs. serum antibody), and study quality (e.g., high vs. moderate). To determine whether estimates were influenced by the introduction of prostate-specific antigen (PSA) screening, we performed another subgroup analysis (i.e., pre-PSA vs. PSA-era screening) using 1994 as the cutoff [16]. For studies that spanned numerous years, we considered the middle year as the determining date. Sensitivity analyses were performed to assess the stability of the results. The influence of individual studies was evaluated by estimating the pooled ORs after omission of each study in turn. Potential publication bias was assessed by visual inspection of Begg’s funnel plots, in which the log relative risk ratios were plotted against their standard errors. We also performed Begg’s and Egger’s tests to assess the presence of publication bias [17,18]. If the P-value for the Egger’s test was <0.05, we assumed that there was publication bias. All of the statistical analyses were performed with STATA statistical software (version 12.0; College Station, TX), using 2-sided P-values. Literature search: We performed a systematic search of PubMed, EMBASE, and Cochrane Library databases, for all papers published up to June 2014. The following search terms were used: (gonorrhea OR Neisseria gonorrhoeae OR sexually transmitted diseases OR sexually transmitted infections OR venereal disease) AND (prostate cancer OR prostatic neoplasms OR prostatic cancer OR prostate neoplasms). We also searched the reference lists of all the retrieved articles to identify any other potentially relevant articles. Study selection: To be included in this meta-analysis, the papers had to report a case-control or cohort study; evaluate the association between gonorrhea and the incidence of prostate cancer; provide relative risk ratios, ORs, and 95% CIs, or sufficient information to calculate these; and be published in English. If multiple publications from the same study population were available, only the one with the largest sample size was included. Studies were excluded if they did not conform to the inclusion criteria above, or contained duplicate data, or were based on incomplete raw data or irrelevant data. No case reports, letters, reviews, editorials, or correspondence articles were considered. Data extraction and quality score assessment: Two investigators (Wen-Qing Lian and Fei Luo) independently reviewed and extracted information from all eligible publications, in accordance with the inclusion and exclusion criteria listed above. Disagreement was resolved by discussion between the 2 authors until a consensus was reached. If a consensus could not be reached, a third author (Xian-Lu Song) was consulted and a final decision was determined by majority opinion. Data extracted from the publications included the first author, year of publication, country in which the study was performed, study design, study period, sample size, ages and ethnicities of the subjects, exposure assessment, and the confounders adjusted for. The subjects’ ethnicities were categorized as white, African American, Asian, other, or mixed (a population with individuals of different ethnicities). For studies conducted in the USA, “blacks” were considered African Americans. When the paper did not specify the ethnicity of the study population, the most probable ethnicity was recorded, based on the predominant ethnic group in the study country. The methodological quality of each eligible study was independently assessed by 2 reviewers (Wen-Qing Lian and Fei Luo) based on the Newcastle-Ottawa scale [11], in which the total score (in stars) can range from 0 to 9. A third party (Xian-Lu Song) was involved if a consensus could not be reached. A study was considered to be of high quality if the Newcastle-Ottawa Scale score was ≥7 stars; studies given 5–6 stars were judged to be of moderate quality. Statistical analysis: Due to the low incidence of prostate cancer, the relative risk ratio can be mathematically approximated by the OR [12]. In the present study, the OR and its 95% CI was used to assess the association between gonorrhea and the risk of prostate cancer. In some studies, risk estimates were stratified according to ethnic categories, and risk to the total group was not reported. For these studies, the study-specific effect size in the overall analysis was recalculated using the inverse-variance method, by pooling the risk estimates of the various ethnic categories [13]. The statistical heterogeneity among the studies was evaluated using Cochrane’s Q test and the I2 statistic. Regarding the former (Q), heterogeneity was considered to exist for P<0.1. For P>0.1 and I2<50%, the included studies were identified as having acceptable heterogeneity, and the fixed-effects model was used. Otherwise, the random-effects model was used [14,15]. To explore the sources of heterogeneity across studies, subgroup analyses were conducted according to study design (e.g., case-control vs. cohort study and population-based vs. hospital-based case-control study), geographic region (e.g., North America vs. Europe vs. Asia), adjustment of confounders (e.g., crude vs. adjusted), ethnicity (e.g., white vs. African American), exposure assessment (e.g., self-reported vs. medical record vs. serum antibody), and study quality (e.g., high vs. moderate). To determine whether estimates were influenced by the introduction of prostate-specific antigen (PSA) screening, we performed another subgroup analysis (i.e., pre-PSA vs. PSA-era screening) using 1994 as the cutoff [16]. For studies that spanned numerous years, we considered the middle year as the determining date. Sensitivity analyses were performed to assess the stability of the results. The influence of individual studies was evaluated by estimating the pooled ORs after omission of each study in turn. Potential publication bias was assessed by visual inspection of Begg’s funnel plots, in which the log relative risk ratios were plotted against their standard errors. We also performed Begg’s and Egger’s tests to assess the presence of publication bias [17,18]. If the P-value for the Egger’s test was <0.05, we assumed that there was publication bias. All of the statistical analyses were performed with STATA statistical software (version 12.0; College Station, TX), using 2-sided P-values. Results: Literature search Initially, we retrieved 605 articles from the PubMed, EMBASE, and Cochrane Library databases that were relevant to the search terms (Figure 1). Of these, 110 were removed as duplicates, which left 495. By screening the titles and abstracts, 457 articles were excluded because they were reviews, editorials, or otherwise not relevant to our meta-analysis. Through full-text review of the remaining 38 articles, 5 more were found by reviewing the reference lists, while 22 were excluded because the data were incomplete or irrelevant. Finally, 21 studies [7–10,19–35] were included for meta-analysis. Initially, we retrieved 605 articles from the PubMed, EMBASE, and Cochrane Library databases that were relevant to the search terms (Figure 1). Of these, 110 were removed as duplicates, which left 495. By screening the titles and abstracts, 457 articles were excluded because they were reviews, editorials, or otherwise not relevant to our meta-analysis. Through full-text review of the remaining 38 articles, 5 more were found by reviewing the reference lists, while 22 were excluded because the data were incomplete or irrelevant. Finally, 21 studies [7–10,19–35] were included for meta-analysis. Study characteristics Of the 22 included studies, 19 were case-control studies [9,10,19–35] and 2 were cohort studies [7,8]; all were published between 1975 and 2011 (Table 1). Fourteen were conducted in North America [7–9,19–21,23,24,27,30–33,35], 5 in Europe [10,26,28,29,34], and 2 in Asia [22,25]. The sample size per study ranged from 104 to 68 675, with a total of 118 765 participants and 9965 incident cases. Most of these studies adjudged exposure or history of gonorrhea through self-report by the participants, while 2 used medical records [21,27] and 1 used serology for Neisseria gonorrhoeae antibodies [10]. The quality score of studies ranged from 5 stars to 9 stars according to the 9-star Newcastle-Ottawa Scale (Supplementary Table 1). Of the 22 included studies, 19 were case-control studies [9,10,19–35] and 2 were cohort studies [7,8]; all were published between 1975 and 2011 (Table 1). Fourteen were conducted in North America [7–9,19–21,23,24,27,30–33,35], 5 in Europe [10,26,28,29,34], and 2 in Asia [22,25]. The sample size per study ranged from 104 to 68 675, with a total of 118 765 participants and 9965 incident cases. Most of these studies adjudged exposure or history of gonorrhea through self-report by the participants, while 2 used medical records [21,27] and 1 used serology for Neisseria gonorrhoeae antibodies [10]. The quality score of studies ranged from 5 stars to 9 stars according to the 9-star Newcastle-Ottawa Scale (Supplementary Table 1). Meta-analysis results Based on the combined results of the 21 studies, gonorrhea was significantly associated with increased risk of prostate cancer (OR 1.31, 95% CI 1.14–1.52) under the random-effects model (heterogeneity I2=38.2%, P=0.039; Figure 2). The pooled OR did not substantially change even after adjustments for confounders, study quality, or the introduction of PSA screening (Table 2). We also performed subgroup analyses based on study design, study region, ethnicity, and the method of gonorrhea exposure assessment (Table 2). In the subgroup analysis based on study design, we found a significantly increased risk of prostate cancer in the case-control studies (OR 1.41, 95% CI 1.24–1.61), especially in those that were population-based (OR 1.38, 95% CI 1.19–1.61). However, the results from the cohort studies were nil (OR 1.07, 95% CI 0.95–1.21). Regarding geographic area, there was a significant association between gonorrhea and prostate cancer risk in studies conducted in North America (OR 1.33, 95% CI 1.13–1.57), but no significant association was found in studies conducted in Europe (OR 1.18, 95% CI 0.78–1.78) or Asia (OR 1.44, 95% CI 0.84–2.48). The association between gonorrhea and prostate cancer was higher for African American men (OR 1.32, 95% CI 1.06–1.65) than whites (OR 1.05, 95% CI 0.90–1.21). The association was more significant in studies relying on self-reports of gonorrhea exposure (OR 1.34, 95% CI 1.15–1.57) than those that used medical records (OR 1.01, 95% CI 0.56–1.82) or serum antibodies (OR 1.07, 95% CI 0.42–2.73) to determine exposure. Based on the combined results of the 21 studies, gonorrhea was significantly associated with increased risk of prostate cancer (OR 1.31, 95% CI 1.14–1.52) under the random-effects model (heterogeneity I2=38.2%, P=0.039; Figure 2). The pooled OR did not substantially change even after adjustments for confounders, study quality, or the introduction of PSA screening (Table 2). We also performed subgroup analyses based on study design, study region, ethnicity, and the method of gonorrhea exposure assessment (Table 2). In the subgroup analysis based on study design, we found a significantly increased risk of prostate cancer in the case-control studies (OR 1.41, 95% CI 1.24–1.61), especially in those that were population-based (OR 1.38, 95% CI 1.19–1.61). However, the results from the cohort studies were nil (OR 1.07, 95% CI 0.95–1.21). Regarding geographic area, there was a significant association between gonorrhea and prostate cancer risk in studies conducted in North America (OR 1.33, 95% CI 1.13–1.57), but no significant association was found in studies conducted in Europe (OR 1.18, 95% CI 0.78–1.78) or Asia (OR 1.44, 95% CI 0.84–2.48). The association between gonorrhea and prostate cancer was higher for African American men (OR 1.32, 95% CI 1.06–1.65) than whites (OR 1.05, 95% CI 0.90–1.21). The association was more significant in studies relying on self-reports of gonorrhea exposure (OR 1.34, 95% CI 1.15–1.57) than those that used medical records (OR 1.01, 95% CI 0.56–1.82) or serum antibodies (OR 1.07, 95% CI 0.42–2.73) to determine exposure. Sensitivity analysis To assess the influence of the individual data sets on the pooled ORs, repeated meta-analyses that excluded each single study in turn were performed. The corresponding pooled ORs were not materially altered. To assess the influence of the individual data sets on the pooled ORs, repeated meta-analyses that excluded each single study in turn were performed. The corresponding pooled ORs were not materially altered. Publication bias Begg’s funnel plot and Egger’s test were conducted to assess the publication bias of the studies. The shape of the funnel plots did not reveal any evidence of obvious asymmetry (Figure 3), and the results indicated no publication bias (PBegg’s=0.695, PEgger’s=0.054). Begg’s funnel plot and Egger’s test were conducted to assess the publication bias of the studies. The shape of the funnel plots did not reveal any evidence of obvious asymmetry (Figure 3), and the results indicated no publication bias (PBegg’s=0.695, PEgger’s=0.054). Literature search: Initially, we retrieved 605 articles from the PubMed, EMBASE, and Cochrane Library databases that were relevant to the search terms (Figure 1). Of these, 110 were removed as duplicates, which left 495. By screening the titles and abstracts, 457 articles were excluded because they were reviews, editorials, or otherwise not relevant to our meta-analysis. Through full-text review of the remaining 38 articles, 5 more were found by reviewing the reference lists, while 22 were excluded because the data were incomplete or irrelevant. Finally, 21 studies [7–10,19–35] were included for meta-analysis. Study characteristics: Of the 22 included studies, 19 were case-control studies [9,10,19–35] and 2 were cohort studies [7,8]; all were published between 1975 and 2011 (Table 1). Fourteen were conducted in North America [7–9,19–21,23,24,27,30–33,35], 5 in Europe [10,26,28,29,34], and 2 in Asia [22,25]. The sample size per study ranged from 104 to 68 675, with a total of 118 765 participants and 9965 incident cases. Most of these studies adjudged exposure or history of gonorrhea through self-report by the participants, while 2 used medical records [21,27] and 1 used serology for Neisseria gonorrhoeae antibodies [10]. The quality score of studies ranged from 5 stars to 9 stars according to the 9-star Newcastle-Ottawa Scale (Supplementary Table 1). Meta-analysis results: Based on the combined results of the 21 studies, gonorrhea was significantly associated with increased risk of prostate cancer (OR 1.31, 95% CI 1.14–1.52) under the random-effects model (heterogeneity I2=38.2%, P=0.039; Figure 2). The pooled OR did not substantially change even after adjustments for confounders, study quality, or the introduction of PSA screening (Table 2). We also performed subgroup analyses based on study design, study region, ethnicity, and the method of gonorrhea exposure assessment (Table 2). In the subgroup analysis based on study design, we found a significantly increased risk of prostate cancer in the case-control studies (OR 1.41, 95% CI 1.24–1.61), especially in those that were population-based (OR 1.38, 95% CI 1.19–1.61). However, the results from the cohort studies were nil (OR 1.07, 95% CI 0.95–1.21). Regarding geographic area, there was a significant association between gonorrhea and prostate cancer risk in studies conducted in North America (OR 1.33, 95% CI 1.13–1.57), but no significant association was found in studies conducted in Europe (OR 1.18, 95% CI 0.78–1.78) or Asia (OR 1.44, 95% CI 0.84–2.48). The association between gonorrhea and prostate cancer was higher for African American men (OR 1.32, 95% CI 1.06–1.65) than whites (OR 1.05, 95% CI 0.90–1.21). The association was more significant in studies relying on self-reports of gonorrhea exposure (OR 1.34, 95% CI 1.15–1.57) than those that used medical records (OR 1.01, 95% CI 0.56–1.82) or serum antibodies (OR 1.07, 95% CI 0.42–2.73) to determine exposure. Sensitivity analysis: To assess the influence of the individual data sets on the pooled ORs, repeated meta-analyses that excluded each single study in turn were performed. The corresponding pooled ORs were not materially altered. Publication bias: Begg’s funnel plot and Egger’s test were conducted to assess the publication bias of the studies. The shape of the funnel plots did not reveal any evidence of obvious asymmetry (Figure 3), and the results indicated no publication bias (PBegg’s=0.695, PEgger’s=0.054). Discussion: We performed a meta-analysis of 21 relevant studies published up to June 2014 to determine the association between a history of gonorrhea and prostate cancer, and found a significantly increased risk of prostate cancer among men with prior gonorrhea. Our results were consistent with the meta-analyses of case-control studies conducted by Dennis et al. [5] in 2002 and Taylor et al. [6] in 2005. However, the present meta-analysis involved 19 case-control studies and 2 cohort studies, and while a significant increased risk of prostate cancer was found from the case-control studies, the association according to the cohort studies was nil. The discrepancy between the case-control and cohort studies might be due to the potential bias of case-control studies, including selection bias or recall bias. We also found that there was a stronger association shown in population-based case-control studies than in hospital-based case-control studies. Although both population- and hospital-based case-control studies contain biases, we consider the former more reliable because the cases and controls are more representative. In the present study, subgroup analyses by ethnicity revealed a stronger association between a history of gonorrhea and prostate cancer among African Americans than among whites. These results suggest that ethnic or cultural differences exist in susceptibility to prostate cancer after gonorrhea exposure. However, this finding should be cautiously interpreted. Data from the Centers for Disease Control and Prevention (CDC) in the United States showed that in 2012 the gonorrhea rate among African American males (467.7 cases per 100 000 population) was 16 times the gonorrhea rate among white males (28.8 cases per 100 000 population), and the disparities were striking across all age groups and regions [36]. Kwame Owusu-Edusei Jr. et al. [37] also found that racial disparities in income were associated with racial disparities in gonorrhea rates. In addition, the higher gonorrhea rates might be due to the average lower rate of insurance, later diagnosis, less effective treatment, and greater incidence of relevant genetic polymorphisms in African Americans. Because rates of gonorrhea infection and rates of prostate cancer are each higher among African American men than among white men, we consider that many factors influencing these rates likely exist that are beyond the scope of this analysis, and any conclusions require further verification. In the present meta-analysis, subgroup analysis showed that gonorrhea was significantly associated with increased incidence of prostate cancer in North America, but not in Europe or Asia. One possible explanation for this finding is that there was not sufficient published evidence representing European (5 studies) and Asian (2 studies) countries. This is possibly due to the exclusion criteria of the study, since we only included articles published in English. Other potential factors are the relatively low incidence of prostate cancer in Asians and the greater incidence in African Americans. In this study, we found a significant association between gonorrhea and prostate cancer risk in the studies in which the history of gonorrhea was based on self-reports of the subjects, while the association was insignificant in studies that used medical records or serum antibodies. This finding may be due to the small number of studies that used medical records (2 studies) or serum antibodies (1 study). The potential biological mechanisms that link gonorrhea and prostate cancer remain unclear. A general association between infections, infection-induced chronic inflammation, and the development of cancer is well-known [38], and increasing evidence indicates that chronic inflammatory states contribute to prostate carcinogenesis [39]. Gonorrhea infection by Neisseria gonorrhoeae has been shown to induce a chronic inflammatory environment within the prostate. Inflammatory cells are recruited after damage or an infection, and they can secrete a large number of cytokines (e.g., interleukin 6) and chemokines (e.g., interleukin 8) that promote the growth of neoplastic cells and ultimately lead to carcinogenesis within the prostate [40,41]. The longer the inflammation persists, the higher the risk of cancer [42]. Evidence from pathology also shows that proliferative inflammatory atrophy, which is often associated with chronic and, at times, acute inflammation, may be the direct precursor lesion to prostatic intraepithelial neoplasia, prostate cancer, or both [43]. In addition, several genes have been studied for their role in prostate cancer development, and in some cases, (e.g., ribonuclease L[RNASEL]/ hereditary prostate cancer 1 [HPC1], toll-like receptor 4 [TLR4], macrophage scavenger receptor 1 [MSR1]) mutations or variants in these genes also increase an individual’s susceptibility to infection [44]. The present meta-analysis has some limitations. First, most of the included studies were case-control studies, which are susceptible to recall and selection biases. The statistical effect of these kinds of biases might be reduced somewhat by cohort studies, but we found only 2 suitable cohort studies. Second, the method for determining gonorrhea history or exposure varied across the studies. Gonorrhea history was mostly based on the self-report of the subjects and only 1 study conducted serological tests. This could distort the findings. Third, substantial heterogeneity was observed among the studies, although we were able to find the major sources of heterogeneity through subgroup analyses. Fourth, our results may also have been biased by restricting studies to those published in English, but there was no evidence of publication bias, based on either Egger’s or Begg’s test. Fifth, the effect of gonorrhea on prostate cancer outcomes may be different for cases of prostate cancer detected in the early stages through PSA screening than for patients who had aggressive fatalities before PSA screening was widely available. However, the pooled ORs in the pre-PSA and PSA-era subgroups were similar. Moreover, data stratified by prostate cancer aggressiveness were not available from the included studies. We also note that, although we performed a careful search for papers published up to June 2014, the 21 included studies all appeared between 1975 and 2011. Conclusions: Our analysis found a potential association between gonorrhea and increased risk of prostate cancer, especially among African American males. Because of the limited number of studies, more prospective cohort or intervention studies are warranted to confirm the findings of this meta-analysis. Such findings also warrant investigations of the underlying mechanisms that may be responsible for this association. Supplementary materials: Quality assessment using the Newcastle-Ottawa Scale.
Background: The association between gonorrhea and prostate cancer risk has been investigated widely, but the results remain inconsistent and contradictory. We conducted an updated meta-analysis to obtain a more precise estimate of this association. Methods: PubMed, EMBASE, and the Cochrane Library were searched for papers up to June 2014 to identify eligible studies. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to assess the influence of gonorrhea on prostate cancer risk. Results: Twenty-one observational studies (19 case-control and 2 cohort) were eligible, comprising 9965 prostate cancer patients and 118 765 participants. Pooled results indicated that gonorrhea was significantly associated with increased incidence of prostate cancer (OR 1.31, 95% CI 1.14-1.52). The association between gonorrhea and prostate cancer was stronger in African American males (OR 1.32, 95% CI 1.06-1.65) than in Whites (OR 1.05, 95% CI 0.90-1.21). Conclusions: Our findings suggest that gonorrhea is associated with an increased risk of prostate cancer, especially among African American males. These results warrant further well-designed, large-scale cohort studies to draw definitive conclusions.
Background: Cancer of the prostate is the most frequently diagnosed cancer in men, accounting for 27% of new cancer cases in the United States (USA) in 2014. In the same year, 10% of the total cancer deaths in men were due to prostate cancer, the second leading cause of cancer death in this population [1]. Although the cause of prostate cancer remains unknown, its incidence has been associated with age, ethnicity, family history, physical activity, body mass index, diet, region, and sexually transmitted infections [2,3]. The seriousness of this disease warrants a more definitive investigation of its association with a history of sexually transmitted diseases. Gonorrhea is a major public health concern worldwide. Caused by the bacterium Neisseria gonorrhoeae, in the year 2008 the World Health Organization estimated that there were 106 million infected adults globally, making it the most prevalent sexually transmitted bacterial infection [4]. Several epidemiologic studies have investigated an association between gonorrhea infection and incidence of prostate cancer, but results have been inconsistent. According to a meta-analysis published by Dennis et al. [5] in 2002, men with a history of gonorrhea were at elevated risk of prostate cancer (pooled relative risk ratio [RR] 1.36, 95% confidence interval [CI] 1.15–1.61). A meta-analysis reported by Taylor et al. [6] in 2005 also indicated that gonorrhea was associated with increased prostate cancer risk (odds ratio [OR] 1.39, 95% CI 1.05–1.83). However, both of these studies were based predominantly on case-control data for white men. Studies that include African American subjects, serologic measures, and prospective data are lacking. More recently, 2 large, prospective, cohort studies [7,8] and 2 case-control studies [9,10] failed to confirm an association between a history of gonorrhea and prostate cancer. However, some factors were not considered in their analyses that might limit the evaluation of prostate cancer risk. These include adjustments for confounders, study design, study region, ethnicity, the method of gonorrhea exposure assessment, study quality, and the introduction of PSA screening. Herein we provide an updated review and meta-analysis of the association between a history of gonorrhea and incidence of prostate cancer, conducting subgroup analyses based on the factors aforementioned. Conclusions: Our analysis found a potential association between gonorrhea and increased risk of prostate cancer, especially among African American males. Because of the limited number of studies, more prospective cohort or intervention studies are warranted to confirm the findings of this meta-analysis. Such findings also warrant investigations of the underlying mechanisms that may be responsible for this association.
Background: The association between gonorrhea and prostate cancer risk has been investigated widely, but the results remain inconsistent and contradictory. We conducted an updated meta-analysis to obtain a more precise estimate of this association. Methods: PubMed, EMBASE, and the Cochrane Library were searched for papers up to June 2014 to identify eligible studies. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to assess the influence of gonorrhea on prostate cancer risk. Results: Twenty-one observational studies (19 case-control and 2 cohort) were eligible, comprising 9965 prostate cancer patients and 118 765 participants. Pooled results indicated that gonorrhea was significantly associated with increased incidence of prostate cancer (OR 1.31, 95% CI 1.14-1.52). The association between gonorrhea and prostate cancer was stronger in African American males (OR 1.32, 95% CI 1.06-1.65) than in Whites (OR 1.05, 95% CI 0.90-1.21). Conclusions: Our findings suggest that gonorrhea is associated with an increased risk of prostate cancer, especially among African American males. These results warrant further well-designed, large-scale cohort studies to draw definitive conclusions.
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[ "studies", "study", "prostate", "cancer", "gonorrhea", "prostate cancer", "95", "ci", "95 ci", "risk" ]
[ "link gonorrhea prostate", "gonorrhea infection incidence", "history gonorrhea prostate", "effect gonorrhea prostate", "gonorrhea prostate cancer" ]
[CONTENT] Gonorrhea | Meta-Analysis | Prostatic Neoplasms | Sexually Transmitted Diseases [SUMMARY]
[CONTENT] Gonorrhea | Meta-Analysis | Prostatic Neoplasms | Sexually Transmitted Diseases [SUMMARY]
[CONTENT] Gonorrhea | Meta-Analysis | Prostatic Neoplasms | Sexually Transmitted Diseases [SUMMARY]
[CONTENT] Gonorrhea | Meta-Analysis | Prostatic Neoplasms | Sexually Transmitted Diseases [SUMMARY]
[CONTENT] Gonorrhea | Meta-Analysis | Prostatic Neoplasms | Sexually Transmitted Diseases [SUMMARY]
[CONTENT] Gonorrhea | Meta-Analysis | Prostatic Neoplasms | Sexually Transmitted Diseases [SUMMARY]
[CONTENT] Gonorrhea | Humans | Incidence | Male | Prostatic Neoplasms | Risk Factors [SUMMARY]
[CONTENT] Gonorrhea | Humans | Incidence | Male | Prostatic Neoplasms | Risk Factors [SUMMARY]
[CONTENT] Gonorrhea | Humans | Incidence | Male | Prostatic Neoplasms | Risk Factors [SUMMARY]
[CONTENT] Gonorrhea | Humans | Incidence | Male | Prostatic Neoplasms | Risk Factors [SUMMARY]
[CONTENT] Gonorrhea | Humans | Incidence | Male | Prostatic Neoplasms | Risk Factors [SUMMARY]
[CONTENT] Gonorrhea | Humans | Incidence | Male | Prostatic Neoplasms | Risk Factors [SUMMARY]
[CONTENT] link gonorrhea prostate | gonorrhea infection incidence | history gonorrhea prostate | effect gonorrhea prostate | gonorrhea prostate cancer [SUMMARY]
[CONTENT] link gonorrhea prostate | gonorrhea infection incidence | history gonorrhea prostate | effect gonorrhea prostate | gonorrhea prostate cancer [SUMMARY]
[CONTENT] link gonorrhea prostate | gonorrhea infection incidence | history gonorrhea prostate | effect gonorrhea prostate | gonorrhea prostate cancer [SUMMARY]
[CONTENT] link gonorrhea prostate | gonorrhea infection incidence | history gonorrhea prostate | effect gonorrhea prostate | gonorrhea prostate cancer [SUMMARY]
[CONTENT] link gonorrhea prostate | gonorrhea infection incidence | history gonorrhea prostate | effect gonorrhea prostate | gonorrhea prostate cancer [SUMMARY]
[CONTENT] link gonorrhea prostate | gonorrhea infection incidence | history gonorrhea prostate | effect gonorrhea prostate | gonorrhea prostate cancer [SUMMARY]
[CONTENT] studies | study | prostate | cancer | gonorrhea | prostate cancer | 95 | ci | 95 ci | risk [SUMMARY]
[CONTENT] studies | study | prostate | cancer | gonorrhea | prostate cancer | 95 | ci | 95 ci | risk [SUMMARY]
[CONTENT] studies | study | prostate | cancer | gonorrhea | prostate cancer | 95 | ci | 95 ci | risk [SUMMARY]
[CONTENT] studies | study | prostate | cancer | gonorrhea | prostate cancer | 95 | ci | 95 ci | risk [SUMMARY]
[CONTENT] studies | study | prostate | cancer | gonorrhea | prostate cancer | 95 | ci | 95 ci | risk [SUMMARY]
[CONTENT] studies | study | prostate | cancer | gonorrhea | prostate cancer | 95 | ci | 95 ci | risk [SUMMARY]
[CONTENT] cancer | prostate | prostate cancer | history | gonorrhea | men | association history | transmitted | sexually | sexually transmitted [SUMMARY]
[CONTENT] pooled ors | ors | pooled | data sets | excluded single | study turn performed corresponding | study turn performed | analyses excluded | analyses excluded single | analyses excluded single study [SUMMARY]
[CONTENT] ci | 95 ci | 95 | studies | 21 | 19 | table | study | 10 | gonorrhea [SUMMARY]
[CONTENT] findings | association | warrant investigations underlying mechanisms | african american males limited | found potential association gonorrhea | found potential association | found potential | especially african american males | especially african american | especially african [SUMMARY]
[CONTENT] studies | study | cancer | prostate | 95 | prostate cancer | gonorrhea | ci | 95 ci | vs [SUMMARY]
[CONTENT] studies | study | cancer | prostate | 95 | prostate cancer | gonorrhea | ci | 95 ci | vs [SUMMARY]
[CONTENT] ||| [SUMMARY]
[CONTENT] PubMed | EMBASE | the Cochrane Library | up to | June 2014 ||| 95% [SUMMARY]
[CONTENT] Twenty-one | 19 | 2 | 9965 | 118 ||| 1.31 | 95% | CI | 1.14 ||| African American | 1.32 | 95% | CI | 1.06-1.65 | Whites | 1.05 | 95% | CI | 0.90-1.21 [SUMMARY]
[CONTENT] African American ||| [SUMMARY]
[CONTENT] ||| ||| EMBASE | the Cochrane Library | up to | June 2014 ||| 95% ||| Twenty-one | 19 | 2 | 9965 | 118 ||| 1.31 | 95% | CI | 1.14 ||| African American | 1.32 | 95% | CI | 1.06-1.65 | Whites | 1.05 | 95% | CI | 0.90-1.21 ||| African American ||| [SUMMARY]
[CONTENT] ||| ||| EMBASE | the Cochrane Library | up to | June 2014 ||| 95% ||| Twenty-one | 19 | 2 | 9965 | 118 ||| 1.31 | 95% | CI | 1.14 ||| African American | 1.32 | 95% | CI | 1.06-1.65 | Whites | 1.05 | 95% | CI | 0.90-1.21 ||| African American ||| [SUMMARY]
A therapeutic cancer vaccine against GL261 murine glioma.
26727970
Glioblastoma (GBM) is the deadliest of brain tumors. Standard treatment for GBM is surgery, followed by combined radiation therapy and chemotherapy. Current therapy prolongs survival but does not offer a cure. We report on a novel immunotherapy against GBM, tested in an animal model of C57BL/6 mice injected intra-cranially with a lethal dose of murine GL261 glioma cells.
BACKGROUND
Ten week-old C57BL/6 mice were anesthetized before injection of 2 × 10(4) GL261 cells in the right cerebral hemisphere and after 3 days half of the mice were administered a single subcutaneous (s.c.) injection of irradiated semi-allogeneic vaccine, while mock-vaccinated mice received a s.c. injection of phosphate-buffered saline (PBS). Tumor engraftment was monitored through bioluminescence imaging (BLI). Length of animal survival was measured by Kaplan-Meier graphs and statistics. At time of sacrifice brain tissue was processed for estimation of tumor size and immunohistochemical studies.
METHODS
Overall survival of vaccinated mice was significantly longer compared to mock-vaccinated mice. Five to ten percent of vaccinated mice survived more than 90 days following the engraftment of GL261 cells in the brain and appeared to be free of disease by BLI. Tumor volume in the brain of vaccinated mice was on average five to ten-fold smaller compared to mock-vaccinated mice. In vaccinated mice, conspicuous microglia infiltrates were observed in tumor tissue sections and activated microglia appeared to form a fence along the perimeter of the tumor cells. The results of these animal studies persuaded the Office of Orphan Products Development of the Food and Drug Administration (FDA) to grant Orphan Drug Designation for treatment of GBM with irradiated, semi-allogeneic vaccines.
RESULTS
Our preclinical observations suggest that semi-allogeneic vaccines could be tested clinically on subjects with GBM, as an adjuvant to standard treatment.
CONCLUSIONS
[ "Animals", "Brain", "Brain Neoplasms", "Cancer Vaccines", "Cell Line, Tumor", "Cell Membrane", "Glioma", "Kaplan-Meier Estimate", "Luminescent Measurements", "Male", "Mice, Inbred C57BL", "Peroxidase", "Staining and Labeling", "Vaccination" ]
4700644
Background
Glioblastoma multiforme (GBM) is the deadliest of brain tumors and is one of a group of tumors referred to as gliomas. GBMs make up approximately 15 % of all primary brain tumors [1]. Classified as a Grade IV (most serious) astrocytoma, GBMs develop from the astrocytes that support nerve cells, primarily in the cerebral hemispheres, but can develop in other parts of the brain, brainstem, or spinal cord. Each year, more than 3000 Americans are diagnosed with GBMs. The cure rate for GBMs is grim, with current therapy prolonging survival but not offering a cure. Standard treatment for GBM is surgery, followed by combined radiation therapy and chemotherapy. GBM’s capacity to invade and infiltrate normal surrounding brain tissue makes complete resection virtually impossible. After surgery, combined chemo-radiation is used to kill residual tumor cells and to delay recurrence. Temozolomide was approved by the Food and Drug Administration (FDA) in 2005 for treatment of adult GBM; subsequently, the FDA approved Avastin (Bevacizumab) for treating GBM. Nevertheless, with standard of care therapy, the median survival of children and adults with GBM is 15 months, and the 5-year survival rate is approximately 10 % [2]. This tumor ultimately takes the life of nearly every affected patient. It has been recently reported that VA patients with GBM showed a decreased median survival (6.5 months) relative to a national cohort of adults (9.0 months); furthermore, 1, 2, and 5 years survival rates in Veterans were 26.8, 5.4, and 0.5 %, respectively, versus 37.8, 12.8, and 4.1 %, respectively, in a comparable national cohort of adults. These GBM survival data highlight a potential disparity and a much worse clinical outcome among affected Veterans [3]; therefore, it is important to explore additional therapeutic options for treating GBM, especially in Veterans. The capacity of T cells to recognize allogeneic major histocompatibility complex (MHC) molecules as intact structures on the surface of foreign cells is called direct T cell allorecognition and is responsible for the powerful immune reactions associated with transplant rejection, a phenomenon called “alloagression” [4]. To a large extent this is due to the ability of allogeneic stimulation to mobilize up to 10 % of all T lymphocytes, compared with a precursor T-cell frequency of between 10−4 and 10−5 for most common antigens. At the same time, each of the lymphocytes activated through direct allorecognition will also recognize specific antigenic peptides presented in the context of a self-MHC molecule (MHC restriction). Cross-reactivity between alloantigens and self MHC-restricted antigens can be harnessed to target tumor-associated antigens [4]. Experimental results from studies with inbred mice and their syngeneic tumors have indicated that the inoculation of semi-allogeneic cell hybrids (derived from the fusion between syngeneic tumor cells and an allogeneic cell line) protects the animal host from a subsequent lethal inoculation with unmodified syngeneic tumor cells [5, 6]. Semi-allogeneic somatic cell hybrids were generated by fusing EL-4 T-lymphoma cells (H-2b) and BALB/c-derived renal adenocarcinoma RAG cells (H-2d); these hybrids were injected intra-peritoneally (i.p.) in C57BL/6 mice (H-2b). Vaccination with irradiated allogeneic cells alone or syngeneic tumor cells alone did not provide significant protection against a tumorigenic challenge with EL-4 cells [5]. The results of these studies also showed that the enhanced immunity was not due simply to an allogeneic effect. In fact, co-administration (injection) into experimental mice of allogeneic cells together with irradiated autologous tumor cells (i.e., without fusion) did not protect them from a subsequent inoculation with autologous tumor cells, supporting the conclusion that, in order to achieve maximum anti-tumor protection, the tumor-associated antigen and the alloantigen needed to be on the same cell [5]. Irradiated semi-allogeneic tumor cell hybrids conferred protection against a subsequent tumorigenic inoculation of EL-4 cells; in contrast, control mice that were mock-vaccinated with i.p.-injected phosphate-buffered saline (PBS) were killed by EL-4-derived lymphomas, which grew rapidly to a large size in the peritoneal cavity [6]. Focused microarray analyses performed on RNA purified from splenocytes of vaccinated (protected) mice revealed that expression of interferon (INF)-γ was upregulated while programmed cell death protein 1 (PD-1) expression was down-regulated compared to splenocyte RNA from control mice, suggesting that semi-allogeneic vaccines are able to activate cytotoxic T cells and interfere with, or even block, the tumor-mediated induction of immune tolerance, a key mechanism underlying the suppression of anti-tumor immunity in the immune competent host [6]. In an attempt to extend this immunotherapy approach to brain tumors, we tested semi-allogeneic vaccines in a mouse model of GBM. The mouse glioma 261 (GL261) was originally established by intracranial injection of 3-methylcholantrene into C57BL/6 mice (H-2b haplotype), and serially passaged intracranially or subcutaneously as tissue tumor pieces in syngeneic mice [7]. Subsequently, GL261-derived cell cultures were established to perform biological and immunological studies with the objective of investigating new treatment modalities for GBM [8]. This research team also reported that subcutaneous (s.c.) vaccination with irradiated GL261 cells was partially effective in a preventing the engraftment of GL261-derived brain tumors, but totally ineffective in a therapeutic setting, i.e., when administered on the day of intracranial tumor inoculation or 3 days thereafter [8].
null
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Results
Single-cell suspensions of GL261 and RAG-neo cultures were fused using PEG 1450 and semi-allogeneic somatic cell hybrids were selected in DMEM + 10 % FBS, containing 400 µg/mL G418 and HAT supplement. HAT-resistant and neomycin-resistant cell colonies became visible after 2–3 weeks; drug-resistant cultures were expanded and tested by FACS for expression of cell surface antigens derived from each parental cell. As expected, semi-allogeneic somatic cell hybrids expressed both H-2Kb (GL261) and H-2Kd (RAG-neo) MHC antigens (Fig. 1).Fig. 1Cell surface staining of parental (GL261 and RAG) cells and semi-allogeneic somatic cell hybrids (GL261xRAG). Single-cell suspensions of each cell line were incubated with PE-labeled, H-2Kb-specific MAb AF6-88.5, and APC-labeled, H-2Kd-specific MAb SF1-1.1. Cell surface expressions of H-2Kb and H-2Kd antigens were measured by flow-cytometry. Dot-plots show that GL261 cells only express the H-2Kb antigen, RAG cells only express the H-2Kd antigen, while GL261xRAG cells express both antigens Cell surface staining of parental (GL261 and RAG) cells and semi-allogeneic somatic cell hybrids (GL261xRAG). Single-cell suspensions of each cell line were incubated with PE-labeled, H-2Kb-specific MAb AF6-88.5, and APC-labeled, H-2Kd-specific MAb SF1-1.1. Cell surface expressions of H-2Kb and H-2Kd antigens were measured by flow-cytometry. Dot-plots show that GL261 cells only express the H-2Kb antigen, RAG cells only express the H-2Kd antigen, while GL261xRAG cells express both antigens We wanted to establish how soon GL261-derived tumors were detectable after intracranial injection of 2 × 104 GL261 cells per mouse. GL261 cells express a transfected gene coding for the firefly luciferase, which allows us to monitor tumor engraftment by bioluminescence imaging (BLI). Eight mice were imaged 2 days post-implantation of GL261 cells and six of them (75 %) showed measurable luciferase activity within the brain, demonstrating the presence of metabolically active tumor cells. Figure 2a shows six of the eight mice imaged 2 days post-implantation of GL261 cells, including mice #1 and #5 which appeared to be negative. On day four post-implantation, both of these mice showed luciferase activity within the right hemisphere of the brain, demonstrating that the implanted GL261 cells, although not visible 2 days after inoculation in these mice, became detectable later because they grew over time (Fig. 2b).Fig. 2Bioluminescence Imaging (BLI). All mice received an intracranial injection of 2 × 104 GL261 cells/mouse. For BLI, mice were anesthetized in a chamber containing a mixture of isoflurane (Florane, Baxter) and injected i.p. with 150 μL of the bioluminescent substrate ReadyJect d-Luciferin. Mice were placed within the chamber of a Xenogen IVIS 200 Bioluminescence and Fluorescence Imaging System for up to 10 min and sets of serial images obtained. Eight mice were imaged 2 days post-implantation of GL261 cells and six of them (75 %) showed measurable luciferase signal within the brain. a shows six of the eight imaged mice, including mice #1 and #5 which showed no signal. On day four post-implantation, both mice #1 and #5 showed a positive signal within the brain (b) Bioluminescence Imaging (BLI). All mice received an intracranial injection of 2 × 104 GL261 cells/mouse. For BLI, mice were anesthetized in a chamber containing a mixture of isoflurane (Florane, Baxter) and injected i.p. with 150 μL of the bioluminescent substrate ReadyJect d-Luciferin. Mice were placed within the chamber of a Xenogen IVIS 200 Bioluminescence and Fluorescence Imaging System for up to 10 min and sets of serial images obtained. Eight mice were imaged 2 days post-implantation of GL261 cells and six of them (75 %) showed measurable luciferase signal within the brain. a shows six of the eight imaged mice, including mice #1 and #5 which showed no signal. On day four post-implantation, both mice #1 and #5 showed a positive signal within the brain (b) In order to test GL261xRAG-neo hybrids as therapeutic vaccines against GL261-derived glioma, 10 week-old C57BL/6 mice were administered under anesthesia an intracranial injection of 2 × 104 GL261 cells per mouse and after 3 days mice in the experimental group received a s.c. injection of irradiated GL261xRAG-neo hybrids (106 cells per mouse) in PBS, and control mice were injected s.c. with PBS alone. We observed a significant longer survival in mice receiving the vaccine compared to control mice (Fig. 3a–c; p = 0.0027, p = 0.0466, and p = 0.0258, respectively). The longest-surviving vaccinated mice from experiments shown in Fig. 3b, c were imaged by BLI at 99 and 93 days post-implantation of GL261 cells, respectively, and compared to tumor-bearing mice as positive controls (Fig. 4). We observed no bioluminescence in the brain of the vaccinated mice compared to the control mice, which exhibited a strong positive signal, suggesting that the longest-surviving vaccinated mice were disease-free. The BLI-negative mouse shown in Fig. 4a had previously shown strong brain bioluminescence 2 days post-implantation of GL261 cells (mouse #2 in Fig. 2a) and was sacrificed 128 days post-implantation to collect spleen and cervical lymph nodes (no tumor was observed in the brain). The BLI-negative mouse shown in Fig. 4b was sacrificed at day 105 post-implantation to collect spleen and cervical lymph nodes. The results of these animal experiments are consistent with the estimate that 5-10 % of mice receiving a single vaccine administration became long-term survivors and appeared to be disease-free (and possibly cured) by BLI.Fig. 3Survival graphs. a–c show Kaplan–Meier survival graphs of vaccinated (treated) vs. mock-vaccinated (control) mice. Three days after intracranial injection of 2 × 104 GL261 cells, control mice were mock-vaccinated s.c. with 0.5 mL PBS (blue graphs), while treated mice were vaccinated with lethally irradiated GL261xRAG-neo hybrids (106 cells/mouse) in 0.5 mL PBS (red graphs). Overall survival of vaccinated mice was significantly longer (p = 0.0027, p = 0.0466, and p = 0.0258, respectively)Fig. 4BLI of long-term surviving mice. The vaccinated mouse shown on the left in figure a underwent BLI at 99 days post-engraftment of GL261 cells; two control tumor-bearing mice are shown at the center and right. The vaccinated mouse shown on the right of figure b underwent BLI at 93 days post-engraftment with 2 × 104 GL261 cells; two control tumor-bearing mice are shown at the center and left. Both vaccinated, long-term surviving mice appeared to be disease-free Survival graphs. a–c show Kaplan–Meier survival graphs of vaccinated (treated) vs. mock-vaccinated (control) mice. Three days after intracranial injection of 2 × 104 GL261 cells, control mice were mock-vaccinated s.c. with 0.5 mL PBS (blue graphs), while treated mice were vaccinated with lethally irradiated GL261xRAG-neo hybrids (106 cells/mouse) in 0.5 mL PBS (red graphs). Overall survival of vaccinated mice was significantly longer (p = 0.0027, p = 0.0466, and p = 0.0258, respectively) BLI of long-term surviving mice. The vaccinated mouse shown on the left in figure a underwent BLI at 99 days post-engraftment of GL261 cells; two control tumor-bearing mice are shown at the center and right. The vaccinated mouse shown on the right of figure b underwent BLI at 93 days post-engraftment with 2 × 104 GL261 cells; two control tumor-bearing mice are shown at the center and left. Both vaccinated, long-term surviving mice appeared to be disease-free Brain tissue from mock-vaccinated mice (PBS alone) and two vaccinated mice sacrificed 86 days post-implantation of GL261 cells (from survival experiment shown in Fig. 3a) were processed for histological examination and sections prepared for immunohistochemical staining, using as primary antibody a rabbit polyclonal antiserum specific for “ionized calcium binding adaptor molecule 1” (Iba1), a well-known marker for activated microglia (Fig. 5). We observed that microglia cells were less numerous within and around the tumor of mock-vaccinated mice (Fig. 5a, b), compared to vaccinated mice (Fig. 5c–f). Activated microglia appeared to form a fence along the perimeter of the tumor cells (Fig. 5e). We also used antibodies specific for CD3, CD4, and CD8 and observed lymphocytic infiltrates; in contrast to what observed with microglia, there were no obvious differences in tumor sections from vaccinated mice compared to tumor sections from mock-vaccinated mice (data not shown). Brain sections were also stained with anti-Ki67 rabbit monoclonal SP6 (abcam, Cambridge, MA, USA) to investigate whether there were differences in the growth fraction of tumors from vaccinated mice compared to tumors from mock-vaccinated mice. We observed that the intensity and prevalence of Ki67-positive cells was comparable between the two groups and that in large tumors Ki67-positive cells were especially numerous at the edge of the tumor (data not shown).Fig. 5Immunoperoxidase staining of microglia in brain sections from mock-vaccinated and vaccinated mice. a The large tumor from a mock-vaccinated mouse occupies the central, lower and right areas in this image. Uninvolved brain is in the upper left quadrant of the image. Brown staining marks microglia in the surrounding brain and in the tumor. The border of the tumor with the surrounding brain is distinct but ragged (magnification ×20). b This photomicrograph from the same mock-vaccinated mouse shows the interface of tumor and adjacent brain. Staining for microglia is present in both. Tumor cells are hyperchromatic and atypical mitoses are present. A thin rim of microglia staining adjacent to tumor cells is visible (magnification ×100). c This photomicrograph shows a much smaller tumor in a vaccinated mouse. Microglia cells are intermingled within the tumor, attached to tumor cells, and are more numerous in surrounding brain. Microglia cells are also more numerous around tumor cells in vaccinated mice compared to mock-vaccinated ones (magnification ×40). d In this photomicrograph from the same vaccinated mouse, numerous microglia cells surround glioblastoma cells, distinguished by their nuclear atypia, pleomorphism, nucleomegaly and nucleoli. Microglia have much smaller nuclei and their cytoplasm is marked by the immunoperoxidase stain (magnification ×200). e In a different vaccinated mouse, microglia surround tumor cells, which are very large and have nucleomegaly with multiple nucleoli. Stained microglia cells are located on the perimeter of the malignant cells (magnification ×400). f This low-power image of a small tumor from a vaccinated mouse shows the concentration of staining within the tumor and the large number of activated microglia in the surrounding neuropil (magnification ×20) Immunoperoxidase staining of microglia in brain sections from mock-vaccinated and vaccinated mice. a The large tumor from a mock-vaccinated mouse occupies the central, lower and right areas in this image. Uninvolved brain is in the upper left quadrant of the image. Brown staining marks microglia in the surrounding brain and in the tumor. The border of the tumor with the surrounding brain is distinct but ragged (magnification ×20). b This photomicrograph from the same mock-vaccinated mouse shows the interface of tumor and adjacent brain. Staining for microglia is present in both. Tumor cells are hyperchromatic and atypical mitoses are present. A thin rim of microglia staining adjacent to tumor cells is visible (magnification ×100). c This photomicrograph shows a much smaller tumor in a vaccinated mouse. Microglia cells are intermingled within the tumor, attached to tumor cells, and are more numerous in surrounding brain. Microglia cells are also more numerous around tumor cells in vaccinated mice compared to mock-vaccinated ones (magnification ×40). d In this photomicrograph from the same vaccinated mouse, numerous microglia cells surround glioblastoma cells, distinguished by their nuclear atypia, pleomorphism, nucleomegaly and nucleoli. Microglia have much smaller nuclei and their cytoplasm is marked by the immunoperoxidase stain (magnification ×200). e In a different vaccinated mouse, microglia surround tumor cells, which are very large and have nucleomegaly with multiple nucleoli. Stained microglia cells are located on the perimeter of the malignant cells (magnification ×400). f This low-power image of a small tumor from a vaccinated mouse shows the concentration of staining within the tumor and the large number of activated microglia in the surrounding neuropil (magnification ×20) Because of the significantly longer survival of vaccinated mice compared to mock-vaccinated ones, we attempted to quantify the difference in tumor volume between the two groups. Fourteen mice were inoculated with 2 × 104 GL261 cells/mouse injected into the right hemisphere and after 3 days seven of them were injected s.c. with lethally irradiated (30 Gy) GL261xRAG-neo hybrids (106 cells per mouse). As soon as any mock-vaccinated mouse showed signs of stress or discomfort, it was sacrificed together with a randomly picked mouse from the vaccinated group and the brains processed for comparison of each pair. Figure 6a shows low-magnification sections of the brain from the first three pairs and demonstrate the striking difference in tumor size between the two groups at each time point. Comparison of tumor volumes based on serial sections of the brain from seven pairs of vaccinated and mock-vaccinated mice are shown in Fig. 6b, c. Tumor volumes were significantly smaller in vaccinated mice compared to mock-vaccinated mice (p < 0.0031).Fig. 6Comparison of tumor size in brain sections from vaccinated and mock-vaccinated mice. Animals from the two groups were sacrificed in pairs when any control mouse showed signs of discomfort. a shows corresponding sections of the brain (stained by H&E) from three pairs of mice for comparison. Tumors from mock-vaccinated mice (i, iii, v) occupied most of the right hemisphere. In contrast, tumors from vaccinated mice (ii, iv, vi) were much smaller. b shows the bar graph of tumor volumes for each of the seven pairs of mice. c shows the bar graph of the cumulative data; tumor volumes were significantly smaller in vaccinated mice compared to mock-vaccinated mice (p < 0.0031). Tumor volumes (in mm3) were estimated using image analysis (NIH Image software ImageJ 1.37v) Comparison of tumor size in brain sections from vaccinated and mock-vaccinated mice. Animals from the two groups were sacrificed in pairs when any control mouse showed signs of discomfort. a shows corresponding sections of the brain (stained by H&E) from three pairs of mice for comparison. Tumors from mock-vaccinated mice (i, iii, v) occupied most of the right hemisphere. In contrast, tumors from vaccinated mice (ii, iv, vi) were much smaller. b shows the bar graph of tumor volumes for each of the seven pairs of mice. c shows the bar graph of the cumulative data; tumor volumes were significantly smaller in vaccinated mice compared to mock-vaccinated mice (p < 0.0031). Tumor volumes (in mm3) were estimated using image analysis (NIH Image software ImageJ 1.37v)
Conclusions
The results of these animal studies persuaded the Office of Orphan Products Development of the Food and Drug Administration to grant Orphan Drug Designation to the corresponding author for treatment of GBM with irradiated, semi-allogeneic vaccines. Furthermore, these results are consistent with the recognition that immunotherapy has emerged as an important adjuvant in the therapeutic armamentarium of clinicians against GBM [15], and support the goal of translating our immunotherapy approach into clinical studies, with a special focus on Veterans with GBM, because of their significantly shorter survival compared to non-VA patients with the same diagnosis [3].
[ "Background", "Cell lines", "Fluorescence-activated cell sorting (FACS)", "Animals", "Bioluminescence Imaging (BLI)", "Pathology and immunohistochemistry" ]
[ "Glioblastoma multiforme (GBM) is the deadliest of brain tumors and is one of a group of tumors referred to as gliomas. GBMs make up approximately 15 % of all primary brain tumors [1]. Classified as a Grade IV (most serious) astrocytoma, GBMs develop from the astrocytes that support nerve cells, primarily in the cerebral hemispheres, but can develop in other parts of the brain, brainstem, or spinal cord. Each year, more than 3000 Americans are diagnosed with GBMs. The cure rate for GBMs is grim, with current therapy prolonging survival but not offering a cure.\nStandard treatment for GBM is surgery, followed by combined radiation therapy and chemotherapy. GBM’s capacity to invade and infiltrate normal surrounding brain tissue makes complete resection virtually impossible. After surgery, combined chemo-radiation is used to kill residual tumor cells and to delay recurrence. Temozolomide was approved by the Food and Drug Administration (FDA) in 2005 for treatment of adult GBM; subsequently, the FDA approved Avastin (Bevacizumab) for treating GBM. Nevertheless, with standard of care therapy, the median survival of children and adults with GBM is 15 months, and the 5-year survival rate is approximately 10 % [2]. This tumor ultimately takes the life of nearly every affected patient.\nIt has been recently reported that VA patients with GBM showed a decreased median survival (6.5 months) relative to a national cohort of adults (9.0 months); furthermore, 1, 2, and 5 years survival rates in Veterans were 26.8, 5.4, and 0.5 %, respectively, versus 37.8, 12.8, and 4.1 %, respectively, in a comparable national cohort of adults. These GBM survival data highlight a potential disparity and a much worse clinical outcome among affected Veterans [3]; therefore, it is important to explore additional therapeutic options for treating GBM, especially in Veterans.\nThe capacity of T cells to recognize allogeneic major histocompatibility complex (MHC) molecules as intact structures on the surface of foreign cells is called direct T cell allorecognition and is responsible for the powerful immune reactions associated with transplant rejection, a phenomenon called “alloagression” [4]. To a large extent this is due to the ability of allogeneic stimulation to mobilize up to 10 % of all T lymphocytes, compared with a precursor T-cell frequency of between 10−4 and 10−5 for most common antigens. At the same time, each of the lymphocytes activated through direct allorecognition will also recognize specific antigenic peptides presented in the context of a self-MHC molecule (MHC restriction). Cross-reactivity between alloantigens and self MHC-restricted antigens can be harnessed to target tumor-associated antigens [4].\nExperimental results from studies with inbred mice and their syngeneic tumors have indicated that the inoculation of semi-allogeneic cell hybrids (derived from the fusion between syngeneic tumor cells and an allogeneic cell line) protects the animal host from a subsequent lethal inoculation with unmodified syngeneic tumor cells [5, 6]. Semi-allogeneic somatic cell hybrids were generated by fusing EL-4 T-lymphoma cells (H-2b) and BALB/c-derived renal adenocarcinoma RAG cells (H-2d); these hybrids were injected intra-peritoneally (i.p.) in C57BL/6 mice (H-2b). Vaccination with irradiated allogeneic cells alone or syngeneic tumor cells alone did not provide significant protection against a tumorigenic challenge with EL-4 cells [5]. The results of these studies also showed that the enhanced immunity was not due simply to an allogeneic effect. In fact, co-administration (injection) into experimental mice of allogeneic cells together with irradiated autologous tumor cells (i.e., without fusion) did not protect them from a subsequent inoculation with autologous tumor cells, supporting the conclusion that, in order to achieve maximum anti-tumor protection, the tumor-associated antigen and the alloantigen needed to be on the same cell [5].\nIrradiated semi-allogeneic tumor cell hybrids conferred protection against a subsequent tumorigenic inoculation of EL-4 cells; in contrast, control mice that were mock-vaccinated with i.p.-injected phosphate-buffered saline (PBS) were killed by EL-4-derived lymphomas, which grew rapidly to a large size in the peritoneal cavity [6]. Focused microarray analyses performed on RNA purified from splenocytes of vaccinated (protected) mice revealed that expression of interferon (INF)-γ was upregulated while programmed cell death protein 1 (PD-1) expression was down-regulated compared to splenocyte RNA from control mice, suggesting that semi-allogeneic vaccines are able to activate cytotoxic T cells and interfere with, or even block, the tumor-mediated induction of immune tolerance, a key mechanism underlying the suppression of anti-tumor immunity in the immune competent host [6].\nIn an attempt to extend this immunotherapy approach to brain tumors, we tested semi-allogeneic vaccines in a mouse model of GBM. The mouse glioma 261 (GL261) was originally established by intracranial injection of 3-methylcholantrene into C57BL/6 mice (H-2b haplotype), and serially passaged intracranially or subcutaneously as tissue tumor pieces in syngeneic mice [7]. Subsequently, GL261-derived cell cultures were established to perform biological and immunological studies with the objective of investigating new treatment modalities for GBM [8]. This research team also reported that subcutaneous (s.c.) vaccination with irradiated GL261 cells was partially effective in a preventing the engraftment of GL261-derived brain tumors, but totally ineffective in a therapeutic setting, i.e., when administered on the day of intracranial tumor inoculation or 3 days thereafter [8].", "GL261 cells were a generous gift from Dr. Michael R. Olin (University of Minnesota), and were tested and found free of adventitious agents, before being injected into mice. GL261 cells (H-2b haplotype) were cultured in Dulbecco’s modified Eagle’s medium (DMEM, Invitrogen), added with 10 % of fetal bovine serum (FBS, Atlanta Biologicals). We also tested the resistance of these cells in medium containing various concentrations of the neomycin analog Geneticin (G418), and found that a medium containing 200 µg/mL of G418 could kill GL261 within 2 weeks. Our stock of GL 261 cells also expresses a transfected firefly luciferase gene, which allow us to monitor tumor engraftment by bioluminescence imaging technology (see below). RAG cells were purchased from the American Type Culture Collection (ATCC), tested and found free of adventitious agents, before being injected into mice. RAG cells were cultured in DMEM added with 10 % FBS. RAG cells are deficient in the X-linked hypoxanthine-guanine phosphoribosyl transferase gene (HGPRT−). They are a non-reverting, 8-azaguanine-resistant clone of the Renal-2a cell line, originally derived from a kidney adenocarcinoma of BALB/c origin (H-2d haplotype); therefore, they are killed in culture media containing a supplement of hypoxanthine, aminopterin, and thymidine (HAT, Invitrogen). We have previously confirmed that RAG cells are non-reverting, 8-azaguanine-resistant, and HAT-sensitive [5, 6]. Neomycin-resistant RAG cells were generated by DNA-mediated gene transfer of the pRSV-neo plasmid (RAG-neo), as previously described [9]. RAG-neo cells can grow in medium containing >400 µg/mL of G418. To generate semi-allogeneic somatic cell hybrids, single-cell suspensions of GL261 and RAG-neo cells were mixed at a 3:1 ratio in serum-free DMEM containing 50 μM sodium dodecyl sulfate (SDS) and centrifuged at 300×g for 5 min (min) at room temperature. The mixed cell pellet was then slowly suspended in 1 mL 50 % polyethylene glycol (PEG)-1450 (cell-culture grade from the ATCC and diluted in serum-free DMEM) over a 1 min period while gently stirring. The cell suspension was then slowly diluted over a 2 min period with DMEM supplemented with 10 % FBS. After centrifuging at 300xg for 5 min, fused cells were plated in selective medium (DMEM + 10 % FBS, containing 400 µg/mL G418 and HAT supplement). Under these culture conditions only RAG x GL261 semi-allogeneic somatic cell hybrids can survive, since RAG-neo cells are killed by aminopterin and GL261 cells are killed by G418.", "Drug-resistant cultures were expanded and tested by FACS for co-expression of MHC surface antigens using phycoerythrin (PE)-labeled, H-2Kb-specific monoclonal antibody (MAb) AF6-88.5 (BD Bioscience cat.# 553570), and allophycocyanin (APC)-labeled, H-2Kd-specific MAb SF1.1 (eBioscience cat.# 17-5957-82).", "Mouse studies were reviewed and approved by the Institutional Animal Care and Use Committee (IACUC) and were conducted in accordance with all applicable national and institutional guidelines for the care and use of animals. Ten to twelve week-old C57BL/6 male mice (Jackson Laboratories) were anesthetized by i.p. injection of Ketamine (JHP Pharmaceuticals—90 mg/per kg) and Xylazine (Lloyd Laboratories—10 mg/kg), and positioned in a Kopf stereotaxic frame for intracranial injection into the striatum (2.2 mm medio-lateral, 0.2 mm anterior-posterior, and 3 mm dorso-ventral). Injection into the right cerebral hemisphere of GL261 cells suspended in PBS (2 × 104/mouse) was performed using a 5 μL Hamilton micro-syringe under mechanical control to avoid brain injuries during the procedure. Three days after tumor inoculation, treated mice were injected s.c. with lethally irradiated [30 Gray (Gy)] GL261xRAG-neo hybrids (106 cells per mouse) in 0.5 mL PBS, and control mice were injected s.c. with 0.5 mL PBS alone (mock-vaccination). Mice were checked daily until the end of the experiment. Mice were euthanized as soon as they looked sick. Length of animal survival was measured by means of Kaplan–Meier graphs. Data from the animal experiments were analyzed using GraphPad Prism software program (GraphPad Software Inc., La Jolla, CA, USA), with p < 0.05 indicating statistical significance. Approximately 120 mice were tested in these experiments, including mice used in preliminary studies aimed at optimizing the surgical procedures and determining the timing of vaccine administration. Less than 5 % of mice receiving intracranial inoculation of GL261 cells died within 48 h after surgery; these mice were excluded from the survival analyses.", "For BLI studies, luciferase activity was monitored using an Ivis 200 Spectrum Instrument (Perkin Elmer, Waltham, MA). Two and four days post-implantation of GL261 cells in the brain, mice were anesthetized in a chamber by inhalation of isoflurane (Florane, Baxter) at 2–3 % in oxygen for the duration of the imaging session, and injected i.p. with 150 μL (150 mg/kg) of the bioluminescent substrate ReadyJect D-Luciferin (PerkinElmer). Up to three mice were placed within the BLI chamber and imaged until measurable luciferase activity could be recorded. Serial images were obtained at 1, 4, 7, and 10 min after i.p. injection of luciferin. Mice were imaged using the following parameters: field of view C, exposure time 60 s, medium binning and F/Stop:1. Luciferase activity was calculated using Living Image Software (Perkin Elmer).", "At time of sacrifice, mouse brains were removed and fixed for 24 h in 4 % paraformaldehyde in PBS. After fixation, brains were immersed in 30 % sucrose for cryosectioning; sections were 5–30 μm-thick depending on the study. For morphological analysis, sections were stained with Hematoxylin and Eosin (H&E). Tumor volumes (in mm3) were estimated using image analysis (NIH Image software ImageJ 1.37v).\nFor immunohistochemical studies, tissue sections were placed into wells containing 0.5 mL of Tris-buffered saline (TBS) and incubated in blocking buffer (TBS + 5 % FBS) for 1 h at room temperature. Primary antibodies diluted in blocking buffer were applied for 24 h at 4 °C. Primary antibodies used were: microglia-specific anti-Iba1 (1:500; Wako cat.# 019-19741); anti-Ki-67 (1:100 abcam cat.# ab16667); anti-CD3 (1:100 abcam cat.# ab5690); anti-CD4 (1:100 abcam cat.# ab25475); anti-CD8 (1:100 abcam cat.# 22378). After the first incubation, sections were washed in TBS three times for 5 min and incubated for 60 min with secondary antibody (VECTSTAIN ABC Kit), followed by development using 3,3′-diaminobenzidine (DAB) horseradish peroxidase (HRP) substrate (Vector Laboratories). Control sections were processed in identical fashion, except that the primary antibodies were omitted." ]
[ null, null, null, null, null, null ]
[ "Background", "Methods", "Cell lines", "Fluorescence-activated cell sorting (FACS)", "Animals", "Bioluminescence Imaging (BLI)", "Pathology and immunohistochemistry", "Results", "Discussion", "Conclusions" ]
[ "Glioblastoma multiforme (GBM) is the deadliest of brain tumors and is one of a group of tumors referred to as gliomas. GBMs make up approximately 15 % of all primary brain tumors [1]. Classified as a Grade IV (most serious) astrocytoma, GBMs develop from the astrocytes that support nerve cells, primarily in the cerebral hemispheres, but can develop in other parts of the brain, brainstem, or spinal cord. Each year, more than 3000 Americans are diagnosed with GBMs. The cure rate for GBMs is grim, with current therapy prolonging survival but not offering a cure.\nStandard treatment for GBM is surgery, followed by combined radiation therapy and chemotherapy. GBM’s capacity to invade and infiltrate normal surrounding brain tissue makes complete resection virtually impossible. After surgery, combined chemo-radiation is used to kill residual tumor cells and to delay recurrence. Temozolomide was approved by the Food and Drug Administration (FDA) in 2005 for treatment of adult GBM; subsequently, the FDA approved Avastin (Bevacizumab) for treating GBM. Nevertheless, with standard of care therapy, the median survival of children and adults with GBM is 15 months, and the 5-year survival rate is approximately 10 % [2]. This tumor ultimately takes the life of nearly every affected patient.\nIt has been recently reported that VA patients with GBM showed a decreased median survival (6.5 months) relative to a national cohort of adults (9.0 months); furthermore, 1, 2, and 5 years survival rates in Veterans were 26.8, 5.4, and 0.5 %, respectively, versus 37.8, 12.8, and 4.1 %, respectively, in a comparable national cohort of adults. These GBM survival data highlight a potential disparity and a much worse clinical outcome among affected Veterans [3]; therefore, it is important to explore additional therapeutic options for treating GBM, especially in Veterans.\nThe capacity of T cells to recognize allogeneic major histocompatibility complex (MHC) molecules as intact structures on the surface of foreign cells is called direct T cell allorecognition and is responsible for the powerful immune reactions associated with transplant rejection, a phenomenon called “alloagression” [4]. To a large extent this is due to the ability of allogeneic stimulation to mobilize up to 10 % of all T lymphocytes, compared with a precursor T-cell frequency of between 10−4 and 10−5 for most common antigens. At the same time, each of the lymphocytes activated through direct allorecognition will also recognize specific antigenic peptides presented in the context of a self-MHC molecule (MHC restriction). Cross-reactivity between alloantigens and self MHC-restricted antigens can be harnessed to target tumor-associated antigens [4].\nExperimental results from studies with inbred mice and their syngeneic tumors have indicated that the inoculation of semi-allogeneic cell hybrids (derived from the fusion between syngeneic tumor cells and an allogeneic cell line) protects the animal host from a subsequent lethal inoculation with unmodified syngeneic tumor cells [5, 6]. Semi-allogeneic somatic cell hybrids were generated by fusing EL-4 T-lymphoma cells (H-2b) and BALB/c-derived renal adenocarcinoma RAG cells (H-2d); these hybrids were injected intra-peritoneally (i.p.) in C57BL/6 mice (H-2b). Vaccination with irradiated allogeneic cells alone or syngeneic tumor cells alone did not provide significant protection against a tumorigenic challenge with EL-4 cells [5]. The results of these studies also showed that the enhanced immunity was not due simply to an allogeneic effect. In fact, co-administration (injection) into experimental mice of allogeneic cells together with irradiated autologous tumor cells (i.e., without fusion) did not protect them from a subsequent inoculation with autologous tumor cells, supporting the conclusion that, in order to achieve maximum anti-tumor protection, the tumor-associated antigen and the alloantigen needed to be on the same cell [5].\nIrradiated semi-allogeneic tumor cell hybrids conferred protection against a subsequent tumorigenic inoculation of EL-4 cells; in contrast, control mice that were mock-vaccinated with i.p.-injected phosphate-buffered saline (PBS) were killed by EL-4-derived lymphomas, which grew rapidly to a large size in the peritoneal cavity [6]. Focused microarray analyses performed on RNA purified from splenocytes of vaccinated (protected) mice revealed that expression of interferon (INF)-γ was upregulated while programmed cell death protein 1 (PD-1) expression was down-regulated compared to splenocyte RNA from control mice, suggesting that semi-allogeneic vaccines are able to activate cytotoxic T cells and interfere with, or even block, the tumor-mediated induction of immune tolerance, a key mechanism underlying the suppression of anti-tumor immunity in the immune competent host [6].\nIn an attempt to extend this immunotherapy approach to brain tumors, we tested semi-allogeneic vaccines in a mouse model of GBM. The mouse glioma 261 (GL261) was originally established by intracranial injection of 3-methylcholantrene into C57BL/6 mice (H-2b haplotype), and serially passaged intracranially or subcutaneously as tissue tumor pieces in syngeneic mice [7]. Subsequently, GL261-derived cell cultures were established to perform biological and immunological studies with the objective of investigating new treatment modalities for GBM [8]. This research team also reported that subcutaneous (s.c.) vaccination with irradiated GL261 cells was partially effective in a preventing the engraftment of GL261-derived brain tumors, but totally ineffective in a therapeutic setting, i.e., when administered on the day of intracranial tumor inoculation or 3 days thereafter [8].", " Cell lines GL261 cells were a generous gift from Dr. Michael R. Olin (University of Minnesota), and were tested and found free of adventitious agents, before being injected into mice. GL261 cells (H-2b haplotype) were cultured in Dulbecco’s modified Eagle’s medium (DMEM, Invitrogen), added with 10 % of fetal bovine serum (FBS, Atlanta Biologicals). We also tested the resistance of these cells in medium containing various concentrations of the neomycin analog Geneticin (G418), and found that a medium containing 200 µg/mL of G418 could kill GL261 within 2 weeks. Our stock of GL 261 cells also expresses a transfected firefly luciferase gene, which allow us to monitor tumor engraftment by bioluminescence imaging technology (see below). RAG cells were purchased from the American Type Culture Collection (ATCC), tested and found free of adventitious agents, before being injected into mice. RAG cells were cultured in DMEM added with 10 % FBS. RAG cells are deficient in the X-linked hypoxanthine-guanine phosphoribosyl transferase gene (HGPRT−). They are a non-reverting, 8-azaguanine-resistant clone of the Renal-2a cell line, originally derived from a kidney adenocarcinoma of BALB/c origin (H-2d haplotype); therefore, they are killed in culture media containing a supplement of hypoxanthine, aminopterin, and thymidine (HAT, Invitrogen). We have previously confirmed that RAG cells are non-reverting, 8-azaguanine-resistant, and HAT-sensitive [5, 6]. Neomycin-resistant RAG cells were generated by DNA-mediated gene transfer of the pRSV-neo plasmid (RAG-neo), as previously described [9]. RAG-neo cells can grow in medium containing >400 µg/mL of G418. To generate semi-allogeneic somatic cell hybrids, single-cell suspensions of GL261 and RAG-neo cells were mixed at a 3:1 ratio in serum-free DMEM containing 50 μM sodium dodecyl sulfate (SDS) and centrifuged at 300×g for 5 min (min) at room temperature. The mixed cell pellet was then slowly suspended in 1 mL 50 % polyethylene glycol (PEG)-1450 (cell-culture grade from the ATCC and diluted in serum-free DMEM) over a 1 min period while gently stirring. The cell suspension was then slowly diluted over a 2 min period with DMEM supplemented with 10 % FBS. After centrifuging at 300xg for 5 min, fused cells were plated in selective medium (DMEM + 10 % FBS, containing 400 µg/mL G418 and HAT supplement). Under these culture conditions only RAG x GL261 semi-allogeneic somatic cell hybrids can survive, since RAG-neo cells are killed by aminopterin and GL261 cells are killed by G418.\nGL261 cells were a generous gift from Dr. Michael R. Olin (University of Minnesota), and were tested and found free of adventitious agents, before being injected into mice. GL261 cells (H-2b haplotype) were cultured in Dulbecco’s modified Eagle’s medium (DMEM, Invitrogen), added with 10 % of fetal bovine serum (FBS, Atlanta Biologicals). We also tested the resistance of these cells in medium containing various concentrations of the neomycin analog Geneticin (G418), and found that a medium containing 200 µg/mL of G418 could kill GL261 within 2 weeks. Our stock of GL 261 cells also expresses a transfected firefly luciferase gene, which allow us to monitor tumor engraftment by bioluminescence imaging technology (see below). RAG cells were purchased from the American Type Culture Collection (ATCC), tested and found free of adventitious agents, before being injected into mice. RAG cells were cultured in DMEM added with 10 % FBS. RAG cells are deficient in the X-linked hypoxanthine-guanine phosphoribosyl transferase gene (HGPRT−). They are a non-reverting, 8-azaguanine-resistant clone of the Renal-2a cell line, originally derived from a kidney adenocarcinoma of BALB/c origin (H-2d haplotype); therefore, they are killed in culture media containing a supplement of hypoxanthine, aminopterin, and thymidine (HAT, Invitrogen). We have previously confirmed that RAG cells are non-reverting, 8-azaguanine-resistant, and HAT-sensitive [5, 6]. Neomycin-resistant RAG cells were generated by DNA-mediated gene transfer of the pRSV-neo plasmid (RAG-neo), as previously described [9]. RAG-neo cells can grow in medium containing >400 µg/mL of G418. To generate semi-allogeneic somatic cell hybrids, single-cell suspensions of GL261 and RAG-neo cells were mixed at a 3:1 ratio in serum-free DMEM containing 50 μM sodium dodecyl sulfate (SDS) and centrifuged at 300×g for 5 min (min) at room temperature. The mixed cell pellet was then slowly suspended in 1 mL 50 % polyethylene glycol (PEG)-1450 (cell-culture grade from the ATCC and diluted in serum-free DMEM) over a 1 min period while gently stirring. The cell suspension was then slowly diluted over a 2 min period with DMEM supplemented with 10 % FBS. After centrifuging at 300xg for 5 min, fused cells were plated in selective medium (DMEM + 10 % FBS, containing 400 µg/mL G418 and HAT supplement). Under these culture conditions only RAG x GL261 semi-allogeneic somatic cell hybrids can survive, since RAG-neo cells are killed by aminopterin and GL261 cells are killed by G418.\n Fluorescence-activated cell sorting (FACS) Drug-resistant cultures were expanded and tested by FACS for co-expression of MHC surface antigens using phycoerythrin (PE)-labeled, H-2Kb-specific monoclonal antibody (MAb) AF6-88.5 (BD Bioscience cat.# 553570), and allophycocyanin (APC)-labeled, H-2Kd-specific MAb SF1.1 (eBioscience cat.# 17-5957-82).\nDrug-resistant cultures were expanded and tested by FACS for co-expression of MHC surface antigens using phycoerythrin (PE)-labeled, H-2Kb-specific monoclonal antibody (MAb) AF6-88.5 (BD Bioscience cat.# 553570), and allophycocyanin (APC)-labeled, H-2Kd-specific MAb SF1.1 (eBioscience cat.# 17-5957-82).\n Animals Mouse studies were reviewed and approved by the Institutional Animal Care and Use Committee (IACUC) and were conducted in accordance with all applicable national and institutional guidelines for the care and use of animals. Ten to twelve week-old C57BL/6 male mice (Jackson Laboratories) were anesthetized by i.p. injection of Ketamine (JHP Pharmaceuticals—90 mg/per kg) and Xylazine (Lloyd Laboratories—10 mg/kg), and positioned in a Kopf stereotaxic frame for intracranial injection into the striatum (2.2 mm medio-lateral, 0.2 mm anterior-posterior, and 3 mm dorso-ventral). Injection into the right cerebral hemisphere of GL261 cells suspended in PBS (2 × 104/mouse) was performed using a 5 μL Hamilton micro-syringe under mechanical control to avoid brain injuries during the procedure. Three days after tumor inoculation, treated mice were injected s.c. with lethally irradiated [30 Gray (Gy)] GL261xRAG-neo hybrids (106 cells per mouse) in 0.5 mL PBS, and control mice were injected s.c. with 0.5 mL PBS alone (mock-vaccination). Mice were checked daily until the end of the experiment. Mice were euthanized as soon as they looked sick. Length of animal survival was measured by means of Kaplan–Meier graphs. Data from the animal experiments were analyzed using GraphPad Prism software program (GraphPad Software Inc., La Jolla, CA, USA), with p < 0.05 indicating statistical significance. Approximately 120 mice were tested in these experiments, including mice used in preliminary studies aimed at optimizing the surgical procedures and determining the timing of vaccine administration. Less than 5 % of mice receiving intracranial inoculation of GL261 cells died within 48 h after surgery; these mice were excluded from the survival analyses.\nMouse studies were reviewed and approved by the Institutional Animal Care and Use Committee (IACUC) and were conducted in accordance with all applicable national and institutional guidelines for the care and use of animals. Ten to twelve week-old C57BL/6 male mice (Jackson Laboratories) were anesthetized by i.p. injection of Ketamine (JHP Pharmaceuticals—90 mg/per kg) and Xylazine (Lloyd Laboratories—10 mg/kg), and positioned in a Kopf stereotaxic frame for intracranial injection into the striatum (2.2 mm medio-lateral, 0.2 mm anterior-posterior, and 3 mm dorso-ventral). Injection into the right cerebral hemisphere of GL261 cells suspended in PBS (2 × 104/mouse) was performed using a 5 μL Hamilton micro-syringe under mechanical control to avoid brain injuries during the procedure. Three days after tumor inoculation, treated mice were injected s.c. with lethally irradiated [30 Gray (Gy)] GL261xRAG-neo hybrids (106 cells per mouse) in 0.5 mL PBS, and control mice were injected s.c. with 0.5 mL PBS alone (mock-vaccination). Mice were checked daily until the end of the experiment. Mice were euthanized as soon as they looked sick. Length of animal survival was measured by means of Kaplan–Meier graphs. Data from the animal experiments were analyzed using GraphPad Prism software program (GraphPad Software Inc., La Jolla, CA, USA), with p < 0.05 indicating statistical significance. Approximately 120 mice were tested in these experiments, including mice used in preliminary studies aimed at optimizing the surgical procedures and determining the timing of vaccine administration. Less than 5 % of mice receiving intracranial inoculation of GL261 cells died within 48 h after surgery; these mice were excluded from the survival analyses.\n Bioluminescence Imaging (BLI) For BLI studies, luciferase activity was monitored using an Ivis 200 Spectrum Instrument (Perkin Elmer, Waltham, MA). Two and four days post-implantation of GL261 cells in the brain, mice were anesthetized in a chamber by inhalation of isoflurane (Florane, Baxter) at 2–3 % in oxygen for the duration of the imaging session, and injected i.p. with 150 μL (150 mg/kg) of the bioluminescent substrate ReadyJect D-Luciferin (PerkinElmer). Up to three mice were placed within the BLI chamber and imaged until measurable luciferase activity could be recorded. Serial images were obtained at 1, 4, 7, and 10 min after i.p. injection of luciferin. Mice were imaged using the following parameters: field of view C, exposure time 60 s, medium binning and F/Stop:1. Luciferase activity was calculated using Living Image Software (Perkin Elmer).\nFor BLI studies, luciferase activity was monitored using an Ivis 200 Spectrum Instrument (Perkin Elmer, Waltham, MA). Two and four days post-implantation of GL261 cells in the brain, mice were anesthetized in a chamber by inhalation of isoflurane (Florane, Baxter) at 2–3 % in oxygen for the duration of the imaging session, and injected i.p. with 150 μL (150 mg/kg) of the bioluminescent substrate ReadyJect D-Luciferin (PerkinElmer). Up to three mice were placed within the BLI chamber and imaged until measurable luciferase activity could be recorded. Serial images were obtained at 1, 4, 7, and 10 min after i.p. injection of luciferin. Mice were imaged using the following parameters: field of view C, exposure time 60 s, medium binning and F/Stop:1. Luciferase activity was calculated using Living Image Software (Perkin Elmer).\n Pathology and immunohistochemistry At time of sacrifice, mouse brains were removed and fixed for 24 h in 4 % paraformaldehyde in PBS. After fixation, brains were immersed in 30 % sucrose for cryosectioning; sections were 5–30 μm-thick depending on the study. For morphological analysis, sections were stained with Hematoxylin and Eosin (H&E). Tumor volumes (in mm3) were estimated using image analysis (NIH Image software ImageJ 1.37v).\nFor immunohistochemical studies, tissue sections were placed into wells containing 0.5 mL of Tris-buffered saline (TBS) and incubated in blocking buffer (TBS + 5 % FBS) for 1 h at room temperature. Primary antibodies diluted in blocking buffer were applied for 24 h at 4 °C. Primary antibodies used were: microglia-specific anti-Iba1 (1:500; Wako cat.# 019-19741); anti-Ki-67 (1:100 abcam cat.# ab16667); anti-CD3 (1:100 abcam cat.# ab5690); anti-CD4 (1:100 abcam cat.# ab25475); anti-CD8 (1:100 abcam cat.# 22378). After the first incubation, sections were washed in TBS three times for 5 min and incubated for 60 min with secondary antibody (VECTSTAIN ABC Kit), followed by development using 3,3′-diaminobenzidine (DAB) horseradish peroxidase (HRP) substrate (Vector Laboratories). Control sections were processed in identical fashion, except that the primary antibodies were omitted.\nAt time of sacrifice, mouse brains were removed and fixed for 24 h in 4 % paraformaldehyde in PBS. After fixation, brains were immersed in 30 % sucrose for cryosectioning; sections were 5–30 μm-thick depending on the study. For morphological analysis, sections were stained with Hematoxylin and Eosin (H&E). Tumor volumes (in mm3) were estimated using image analysis (NIH Image software ImageJ 1.37v).\nFor immunohistochemical studies, tissue sections were placed into wells containing 0.5 mL of Tris-buffered saline (TBS) and incubated in blocking buffer (TBS + 5 % FBS) for 1 h at room temperature. Primary antibodies diluted in blocking buffer were applied for 24 h at 4 °C. Primary antibodies used were: microglia-specific anti-Iba1 (1:500; Wako cat.# 019-19741); anti-Ki-67 (1:100 abcam cat.# ab16667); anti-CD3 (1:100 abcam cat.# ab5690); anti-CD4 (1:100 abcam cat.# ab25475); anti-CD8 (1:100 abcam cat.# 22378). After the first incubation, sections were washed in TBS three times for 5 min and incubated for 60 min with secondary antibody (VECTSTAIN ABC Kit), followed by development using 3,3′-diaminobenzidine (DAB) horseradish peroxidase (HRP) substrate (Vector Laboratories). Control sections were processed in identical fashion, except that the primary antibodies were omitted.", "GL261 cells were a generous gift from Dr. Michael R. Olin (University of Minnesota), and were tested and found free of adventitious agents, before being injected into mice. GL261 cells (H-2b haplotype) were cultured in Dulbecco’s modified Eagle’s medium (DMEM, Invitrogen), added with 10 % of fetal bovine serum (FBS, Atlanta Biologicals). We also tested the resistance of these cells in medium containing various concentrations of the neomycin analog Geneticin (G418), and found that a medium containing 200 µg/mL of G418 could kill GL261 within 2 weeks. Our stock of GL 261 cells also expresses a transfected firefly luciferase gene, which allow us to monitor tumor engraftment by bioluminescence imaging technology (see below). RAG cells were purchased from the American Type Culture Collection (ATCC), tested and found free of adventitious agents, before being injected into mice. RAG cells were cultured in DMEM added with 10 % FBS. RAG cells are deficient in the X-linked hypoxanthine-guanine phosphoribosyl transferase gene (HGPRT−). They are a non-reverting, 8-azaguanine-resistant clone of the Renal-2a cell line, originally derived from a kidney adenocarcinoma of BALB/c origin (H-2d haplotype); therefore, they are killed in culture media containing a supplement of hypoxanthine, aminopterin, and thymidine (HAT, Invitrogen). We have previously confirmed that RAG cells are non-reverting, 8-azaguanine-resistant, and HAT-sensitive [5, 6]. Neomycin-resistant RAG cells were generated by DNA-mediated gene transfer of the pRSV-neo plasmid (RAG-neo), as previously described [9]. RAG-neo cells can grow in medium containing >400 µg/mL of G418. To generate semi-allogeneic somatic cell hybrids, single-cell suspensions of GL261 and RAG-neo cells were mixed at a 3:1 ratio in serum-free DMEM containing 50 μM sodium dodecyl sulfate (SDS) and centrifuged at 300×g for 5 min (min) at room temperature. The mixed cell pellet was then slowly suspended in 1 mL 50 % polyethylene glycol (PEG)-1450 (cell-culture grade from the ATCC and diluted in serum-free DMEM) over a 1 min period while gently stirring. The cell suspension was then slowly diluted over a 2 min period with DMEM supplemented with 10 % FBS. After centrifuging at 300xg for 5 min, fused cells were plated in selective medium (DMEM + 10 % FBS, containing 400 µg/mL G418 and HAT supplement). Under these culture conditions only RAG x GL261 semi-allogeneic somatic cell hybrids can survive, since RAG-neo cells are killed by aminopterin and GL261 cells are killed by G418.", "Drug-resistant cultures were expanded and tested by FACS for co-expression of MHC surface antigens using phycoerythrin (PE)-labeled, H-2Kb-specific monoclonal antibody (MAb) AF6-88.5 (BD Bioscience cat.# 553570), and allophycocyanin (APC)-labeled, H-2Kd-specific MAb SF1.1 (eBioscience cat.# 17-5957-82).", "Mouse studies were reviewed and approved by the Institutional Animal Care and Use Committee (IACUC) and were conducted in accordance with all applicable national and institutional guidelines for the care and use of animals. Ten to twelve week-old C57BL/6 male mice (Jackson Laboratories) were anesthetized by i.p. injection of Ketamine (JHP Pharmaceuticals—90 mg/per kg) and Xylazine (Lloyd Laboratories—10 mg/kg), and positioned in a Kopf stereotaxic frame for intracranial injection into the striatum (2.2 mm medio-lateral, 0.2 mm anterior-posterior, and 3 mm dorso-ventral). Injection into the right cerebral hemisphere of GL261 cells suspended in PBS (2 × 104/mouse) was performed using a 5 μL Hamilton micro-syringe under mechanical control to avoid brain injuries during the procedure. Three days after tumor inoculation, treated mice were injected s.c. with lethally irradiated [30 Gray (Gy)] GL261xRAG-neo hybrids (106 cells per mouse) in 0.5 mL PBS, and control mice were injected s.c. with 0.5 mL PBS alone (mock-vaccination). Mice were checked daily until the end of the experiment. Mice were euthanized as soon as they looked sick. Length of animal survival was measured by means of Kaplan–Meier graphs. Data from the animal experiments were analyzed using GraphPad Prism software program (GraphPad Software Inc., La Jolla, CA, USA), with p < 0.05 indicating statistical significance. Approximately 120 mice were tested in these experiments, including mice used in preliminary studies aimed at optimizing the surgical procedures and determining the timing of vaccine administration. Less than 5 % of mice receiving intracranial inoculation of GL261 cells died within 48 h after surgery; these mice were excluded from the survival analyses.", "For BLI studies, luciferase activity was monitored using an Ivis 200 Spectrum Instrument (Perkin Elmer, Waltham, MA). Two and four days post-implantation of GL261 cells in the brain, mice were anesthetized in a chamber by inhalation of isoflurane (Florane, Baxter) at 2–3 % in oxygen for the duration of the imaging session, and injected i.p. with 150 μL (150 mg/kg) of the bioluminescent substrate ReadyJect D-Luciferin (PerkinElmer). Up to three mice were placed within the BLI chamber and imaged until measurable luciferase activity could be recorded. Serial images were obtained at 1, 4, 7, and 10 min after i.p. injection of luciferin. Mice were imaged using the following parameters: field of view C, exposure time 60 s, medium binning and F/Stop:1. Luciferase activity was calculated using Living Image Software (Perkin Elmer).", "At time of sacrifice, mouse brains were removed and fixed for 24 h in 4 % paraformaldehyde in PBS. After fixation, brains were immersed in 30 % sucrose for cryosectioning; sections were 5–30 μm-thick depending on the study. For morphological analysis, sections were stained with Hematoxylin and Eosin (H&E). Tumor volumes (in mm3) were estimated using image analysis (NIH Image software ImageJ 1.37v).\nFor immunohistochemical studies, tissue sections were placed into wells containing 0.5 mL of Tris-buffered saline (TBS) and incubated in blocking buffer (TBS + 5 % FBS) for 1 h at room temperature. Primary antibodies diluted in blocking buffer were applied for 24 h at 4 °C. Primary antibodies used were: microglia-specific anti-Iba1 (1:500; Wako cat.# 019-19741); anti-Ki-67 (1:100 abcam cat.# ab16667); anti-CD3 (1:100 abcam cat.# ab5690); anti-CD4 (1:100 abcam cat.# ab25475); anti-CD8 (1:100 abcam cat.# 22378). After the first incubation, sections were washed in TBS three times for 5 min and incubated for 60 min with secondary antibody (VECTSTAIN ABC Kit), followed by development using 3,3′-diaminobenzidine (DAB) horseradish peroxidase (HRP) substrate (Vector Laboratories). Control sections were processed in identical fashion, except that the primary antibodies were omitted.", "Single-cell suspensions of GL261 and RAG-neo cultures were fused using PEG 1450 and semi-allogeneic somatic cell hybrids were selected in DMEM + 10 % FBS, containing 400 µg/mL G418 and HAT supplement. HAT-resistant and neomycin-resistant cell colonies became visible after 2–3 weeks; drug-resistant cultures were expanded and tested by FACS for expression of cell surface antigens derived from each parental cell. As expected, semi-allogeneic somatic cell hybrids expressed both H-2Kb (GL261) and H-2Kd (RAG-neo) MHC antigens (Fig. 1).Fig. 1Cell surface staining of parental (GL261 and RAG) cells and semi-allogeneic somatic cell hybrids (GL261xRAG). Single-cell suspensions of each cell line were incubated with PE-labeled, H-2Kb-specific MAb AF6-88.5, and APC-labeled, H-2Kd-specific MAb SF1-1.1. Cell surface expressions of H-2Kb and H-2Kd antigens were measured by flow-cytometry. Dot-plots show that GL261 cells only express the H-2Kb antigen, RAG cells only express the H-2Kd antigen, while GL261xRAG cells express both antigens\nCell surface staining of parental (GL261 and RAG) cells and semi-allogeneic somatic cell hybrids (GL261xRAG). Single-cell suspensions of each cell line were incubated with PE-labeled, H-2Kb-specific MAb AF6-88.5, and APC-labeled, H-2Kd-specific MAb SF1-1.1. Cell surface expressions of H-2Kb and H-2Kd antigens were measured by flow-cytometry. Dot-plots show that GL261 cells only express the H-2Kb antigen, RAG cells only express the H-2Kd antigen, while GL261xRAG cells express both antigens\nWe wanted to establish how soon GL261-derived tumors were detectable after intracranial injection of 2 × 104 GL261 cells per mouse. GL261 cells express a transfected gene coding for the firefly luciferase, which allows us to monitor tumor engraftment by bioluminescence imaging (BLI). Eight mice were imaged 2 days post-implantation of GL261 cells and six of them (75 %) showed measurable luciferase activity within the brain, demonstrating the presence of metabolically active tumor cells. Figure 2a shows six of the eight mice imaged 2 days post-implantation of GL261 cells, including mice #1 and #5 which appeared to be negative. On day four post-implantation, both of these mice showed luciferase activity within the right hemisphere of the brain, demonstrating that the implanted GL261 cells, although not visible 2 days after inoculation in these mice, became detectable later because they grew over time (Fig. 2b).Fig. 2Bioluminescence Imaging (BLI). All mice received an intracranial injection of 2 × 104 GL261 cells/mouse. For BLI, mice were anesthetized in a chamber containing a mixture of isoflurane (Florane, Baxter) and injected i.p. with 150 μL of the bioluminescent substrate ReadyJect d-Luciferin. Mice were placed within the chamber of a Xenogen IVIS 200 Bioluminescence and Fluorescence Imaging System for up to 10 min and sets of serial images obtained. Eight mice were imaged 2 days post-implantation of GL261 cells and six of them (75 %) showed measurable luciferase signal within the brain. a shows six of the eight imaged mice, including mice #1 and #5 which showed no signal. On day four post-implantation, both mice #1 and #5 showed a positive signal within the brain (b)\nBioluminescence Imaging (BLI). All mice received an intracranial injection of 2 × 104 GL261 cells/mouse. For BLI, mice were anesthetized in a chamber containing a mixture of isoflurane (Florane, Baxter) and injected i.p. with 150 μL of the bioluminescent substrate ReadyJect d-Luciferin. Mice were placed within the chamber of a Xenogen IVIS 200 Bioluminescence and Fluorescence Imaging System for up to 10 min and sets of serial images obtained. Eight mice were imaged 2 days post-implantation of GL261 cells and six of them (75 %) showed measurable luciferase signal within the brain. a shows six of the eight imaged mice, including mice #1 and #5 which showed no signal. On day four post-implantation, both mice #1 and #5 showed a positive signal within the brain (b)\nIn order to test GL261xRAG-neo hybrids as therapeutic vaccines against GL261-derived glioma, 10 week-old C57BL/6 mice were administered under anesthesia an intracranial injection of 2 × 104 GL261 cells per mouse and after 3 days mice in the experimental group received a s.c. injection of irradiated GL261xRAG-neo hybrids (106 cells per mouse) in PBS, and control mice were injected s.c. with PBS alone. We observed a significant longer survival in mice receiving the vaccine compared to control mice (Fig. 3a–c; p = 0.0027, p = 0.0466, and p = 0.0258, respectively). The longest-surviving vaccinated mice from experiments shown in Fig. 3b, c were imaged by BLI at 99 and 93 days post-implantation of GL261 cells, respectively, and compared to tumor-bearing mice as positive controls (Fig. 4). We observed no bioluminescence in the brain of the vaccinated mice compared to the control mice, which exhibited a strong positive signal, suggesting that the longest-surviving vaccinated mice were disease-free. The BLI-negative mouse shown in Fig. 4a had previously shown strong brain bioluminescence 2 days post-implantation of GL261 cells (mouse #2 in Fig. 2a) and was sacrificed 128 days post-implantation to collect spleen and cervical lymph nodes (no tumor was observed in the brain). The BLI-negative mouse shown in Fig. 4b was sacrificed at day 105 post-implantation to collect spleen and cervical lymph nodes. The results of these animal experiments are consistent with the estimate that 5-10 % of mice receiving a single vaccine administration became long-term survivors and appeared to be disease-free (and possibly cured) by BLI.Fig. 3Survival graphs. a–c show Kaplan–Meier survival graphs of vaccinated (treated) vs. mock-vaccinated (control) mice. Three days after intracranial injection of 2 × 104 GL261 cells, control mice were mock-vaccinated s.c. with 0.5 mL PBS (blue graphs), while treated mice were vaccinated with lethally irradiated GL261xRAG-neo hybrids (106 cells/mouse) in 0.5 mL PBS (red graphs). Overall survival of vaccinated mice was significantly longer (p = 0.0027, p = 0.0466, and p = 0.0258, respectively)Fig. 4BLI of long-term surviving mice. The vaccinated mouse shown on the left in figure a underwent BLI at 99 days post-engraftment of GL261 cells; two control tumor-bearing mice are shown at the center and right. The vaccinated mouse shown on the right of figure b underwent BLI at 93 days post-engraftment with 2 × 104 GL261 cells; two control tumor-bearing mice are shown at the center and left. Both vaccinated, long-term surviving mice appeared to be disease-free\nSurvival graphs. a–c show Kaplan–Meier survival graphs of vaccinated (treated) vs. mock-vaccinated (control) mice. Three days after intracranial injection of 2 × 104 GL261 cells, control mice were mock-vaccinated s.c. with 0.5 mL PBS (blue graphs), while treated mice were vaccinated with lethally irradiated GL261xRAG-neo hybrids (106 cells/mouse) in 0.5 mL PBS (red graphs). Overall survival of vaccinated mice was significantly longer (p = 0.0027, p = 0.0466, and p = 0.0258, respectively)\nBLI of long-term surviving mice. The vaccinated mouse shown on the left in figure a underwent BLI at 99 days post-engraftment of GL261 cells; two control tumor-bearing mice are shown at the center and right. The vaccinated mouse shown on the right of figure b underwent BLI at 93 days post-engraftment with 2 × 104 GL261 cells; two control tumor-bearing mice are shown at the center and left. Both vaccinated, long-term surviving mice appeared to be disease-free\nBrain tissue from mock-vaccinated mice (PBS alone) and two vaccinated mice sacrificed 86 days post-implantation of GL261 cells (from survival experiment shown in Fig. 3a) were processed for histological examination and sections prepared for immunohistochemical staining, using as primary antibody a rabbit polyclonal antiserum specific for “ionized calcium binding adaptor molecule 1” (Iba1), a well-known marker for activated microglia (Fig. 5). We observed that microglia cells were less numerous within and around the tumor of mock-vaccinated mice (Fig. 5a, b), compared to vaccinated mice (Fig. 5c–f). Activated microglia appeared to form a fence along the perimeter of the tumor cells (Fig. 5e). We also used antibodies specific for CD3, CD4, and CD8 and observed lymphocytic infiltrates; in contrast to what observed with microglia, there were no obvious differences in tumor sections from vaccinated mice compared to tumor sections from mock-vaccinated mice (data not shown). Brain sections were also stained with anti-Ki67 rabbit monoclonal SP6 (abcam, Cambridge, MA, USA) to investigate whether there were differences in the growth fraction of tumors from vaccinated mice compared to tumors from mock-vaccinated mice. We observed that the intensity and prevalence of Ki67-positive cells was comparable between the two groups and that in large tumors Ki67-positive cells were especially numerous at the edge of the tumor (data not shown).Fig. 5Immunoperoxidase staining of microglia in brain sections from mock-vaccinated and vaccinated mice. a The large tumor from a mock-vaccinated mouse occupies the central, lower and right areas in this image. Uninvolved brain is in the upper left quadrant of the image. Brown staining marks microglia in the surrounding brain and in the tumor. The border of the tumor with the surrounding brain is distinct but ragged (magnification ×20). b This photomicrograph from the same mock-vaccinated mouse shows the interface of tumor and adjacent brain. Staining for microglia is present in both. Tumor cells are hyperchromatic and atypical mitoses are present. A thin rim of microglia staining adjacent to tumor cells is visible (magnification ×100). c This photomicrograph shows a much smaller tumor in a vaccinated mouse. Microglia cells are intermingled within the tumor, attached to tumor cells, and are more numerous in surrounding brain. Microglia cells are also more numerous around tumor cells in vaccinated mice compared to mock-vaccinated ones (magnification ×40). d In this photomicrograph from the same vaccinated mouse, numerous microglia cells surround glioblastoma cells, distinguished by their nuclear atypia, pleomorphism, nucleomegaly and nucleoli. Microglia have much smaller nuclei and their cytoplasm is marked by the immunoperoxidase stain (magnification ×200). e In a different vaccinated mouse, microglia surround tumor cells, which are very large and have nucleomegaly with multiple nucleoli. Stained microglia cells are located on the perimeter of the malignant cells (magnification ×400). f This low-power image of a small tumor from a vaccinated mouse shows the concentration of staining within the tumor and the large number of activated microglia in the surrounding neuropil (magnification ×20)\nImmunoperoxidase staining of microglia in brain sections from mock-vaccinated and vaccinated mice. a The large tumor from a mock-vaccinated mouse occupies the central, lower and right areas in this image. Uninvolved brain is in the upper left quadrant of the image. Brown staining marks microglia in the surrounding brain and in the tumor. The border of the tumor with the surrounding brain is distinct but ragged (magnification ×20). b This photomicrograph from the same mock-vaccinated mouse shows the interface of tumor and adjacent brain. Staining for microglia is present in both. Tumor cells are hyperchromatic and atypical mitoses are present. A thin rim of microglia staining adjacent to tumor cells is visible (magnification ×100). c This photomicrograph shows a much smaller tumor in a vaccinated mouse. Microglia cells are intermingled within the tumor, attached to tumor cells, and are more numerous in surrounding brain. Microglia cells are also more numerous around tumor cells in vaccinated mice compared to mock-vaccinated ones (magnification ×40). d In this photomicrograph from the same vaccinated mouse, numerous microglia cells surround glioblastoma cells, distinguished by their nuclear atypia, pleomorphism, nucleomegaly and nucleoli. Microglia have much smaller nuclei and their cytoplasm is marked by the immunoperoxidase stain (magnification ×200). e In a different vaccinated mouse, microglia surround tumor cells, which are very large and have nucleomegaly with multiple nucleoli. Stained microglia cells are located on the perimeter of the malignant cells (magnification ×400). f This low-power image of a small tumor from a vaccinated mouse shows the concentration of staining within the tumor and the large number of activated microglia in the surrounding neuropil (magnification ×20)\nBecause of the significantly longer survival of vaccinated mice compared to mock-vaccinated ones, we attempted to quantify the difference in tumor volume between the two groups. Fourteen mice were inoculated with 2 × 104 GL261 cells/mouse injected into the right hemisphere and after 3 days seven of them were injected s.c. with lethally irradiated (30 Gy) GL261xRAG-neo hybrids (106 cells per mouse). As soon as any mock-vaccinated mouse showed signs of stress or discomfort, it was sacrificed together with a randomly picked mouse from the vaccinated group and the brains processed for comparison of each pair. Figure 6a shows low-magnification sections of the brain from the first three pairs and demonstrate the striking difference in tumor size between the two groups at each time point. Comparison of tumor volumes based on serial sections of the brain from seven pairs of vaccinated and mock-vaccinated mice are shown in Fig. 6b, c. Tumor volumes were significantly smaller in vaccinated mice compared to mock-vaccinated mice (p < 0.0031).Fig. 6Comparison of tumor size in brain sections from vaccinated and mock-vaccinated mice. Animals from the two groups were sacrificed in pairs when any control mouse showed signs of discomfort. a shows corresponding sections of the brain (stained by H&E) from three pairs of mice for comparison. Tumors from mock-vaccinated mice (i, iii, v) occupied most of the right hemisphere. In contrast, tumors from vaccinated mice (ii, iv, vi) were much smaller. b shows the bar graph of tumor volumes for each of the seven pairs of mice. c shows the bar graph of the cumulative data; tumor volumes were significantly smaller in vaccinated mice compared to mock-vaccinated mice (p < 0.0031). Tumor volumes (in mm3) were estimated using image analysis (NIH Image software ImageJ 1.37v)\nComparison of tumor size in brain sections from vaccinated and mock-vaccinated mice. Animals from the two groups were sacrificed in pairs when any control mouse showed signs of discomfort. a shows corresponding sections of the brain (stained by H&E) from three pairs of mice for comparison. Tumors from mock-vaccinated mice (i, iii, v) occupied most of the right hemisphere. In contrast, tumors from vaccinated mice (ii, iv, vi) were much smaller. b shows the bar graph of tumor volumes for each of the seven pairs of mice. c shows the bar graph of the cumulative data; tumor volumes were significantly smaller in vaccinated mice compared to mock-vaccinated mice (p < 0.0031). Tumor volumes (in mm3) were estimated using image analysis (NIH Image software ImageJ 1.37v)", "We report on the efficacy of a therapeutic cancer vaccine in mice inoculated with a lethal dose of GL261 glioma cells in the right hemisphere of the brain. Overall survival of vaccinated mice was significantly longer compared to mock-vaccinated mice. Tumor volume in the brain of vaccinated mice was on average five to ten-fold smaller compared to mock-vaccinated mice. The significant differences in tumor size and overall survival between vaccinated and mock-vaccinated mice resulted from a single s.c. injection of irradiated vaccine. It must be noted that subcutaneous vaccination with irradiated GL261 cells alone was partially effective in a preventive setting, but totally ineffective in a therapeutic setting, i.e., when administered on the day of intracranial tumor inoculation or 3 days thereafter [8]. Our results show that irradiated semi-allogeneic vaccines are effective in a therapeutic setting.\nIn vaccinated mice, conspicuous microglia infiltrates were observed in tumor tissue sections and activated microglia appeared to form a fence along the perimeter of the tumor cells. Although these observations suggest an anti-GBM role for microglia infiltrates in vaccinated mice, the balance of published evidence suggests that glioma-infiltrating macrophages favor tumor growth and infiltration into normal brain [10–12]. Although we did not observe clear differences in T cell infiltrates between vaccinated and mock-vaccinated mice, this does not imply that T cells do not play an important role in the anti-tumor response. Studies involving knock-out mice missing specific T-cell or macrophage cell lineages together with in vitro studies are presently being conducted to properly address this important issue. Additional immunohistochemical studies involving vaccinated and mock-vaccinated mice sacrificed at regular intervals will also be informative and help us understand the role of cell types responsible for the anti-tumor effects.\nWe reported on the use of semi-allogeneic vaccines as stimulators of HIV-envelope-specific cytotoxic T lymphocytes (CTL) and we proposed that semi-allogeneic cell hybrids functionally mimic antigen-presenting cells (APC) by concomitantly stimulating alloantigen-specific T helper cells via allogeneic MHC, and antigen-specific CTL precursors via antigen presentation through self-MHC [13]. We also proposed that the Th-1 cytokine response, induced through alloantigen-specific help, activates more efficiently antigen-specific CTL and that the cytokine-rich microenvironment of allograft rejection is crucial to attracting dendritic APC [5].Taken together, the results of these previous studies suggest that the semi-allogeneic platform for therapeutic cancer vaccines is essentially made of three components: (1) A “self” component, represented by the host-derived MHC haplotype (e.g., H-2b) expressed by the tumor cells; (2) an “allo” (non-self) component represented by a different cell line (e.g., RAG), that has a different MHC (H-2d) haplotype; and (3) an “antigenic” component which is specific for the tumor (e.g., GL261). It should be possible to extend this immunotherapy approach to human subjects with GBM and test it through properly designed clinical studies. By fusing RAG-like human cells [9, 14] with single cell suspensions from each patient-derived GBM, the antigenic complexity and specificity of each tumor would be captured, resulting in a therapeutic vaccine that is representative of each patient’s GBM. Thus, the long-term objective of this translational research effort is to test irradiated, semi-allogeneic vaccines as an adjuvant to standard of care for human subjects diagnosed with GBM.", "The results of these animal studies persuaded the Office of Orphan Products Development of the Food and Drug Administration to grant Orphan Drug Designation to the corresponding author for treatment of GBM with irradiated, semi-allogeneic vaccines. Furthermore, these results are consistent with the recognition that immunotherapy has emerged as an important adjuvant in the therapeutic armamentarium of clinicians against GBM [15], and support the goal of translating our immunotherapy approach into clinical studies, with a special focus on Veterans with GBM, because of their significantly shorter survival compared to non-VA patients with the same diagnosis [3]." ]
[ null, "materials|methods", null, null, null, null, null, "results", "discussion", "conclusion" ]
[ "Glioblastoma", "Immunotherapy", "Semi-allogeneic", "Cancer", "Vaccine" ]
Background: Glioblastoma multiforme (GBM) is the deadliest of brain tumors and is one of a group of tumors referred to as gliomas. GBMs make up approximately 15 % of all primary brain tumors [1]. Classified as a Grade IV (most serious) astrocytoma, GBMs develop from the astrocytes that support nerve cells, primarily in the cerebral hemispheres, but can develop in other parts of the brain, brainstem, or spinal cord. Each year, more than 3000 Americans are diagnosed with GBMs. The cure rate for GBMs is grim, with current therapy prolonging survival but not offering a cure. Standard treatment for GBM is surgery, followed by combined radiation therapy and chemotherapy. GBM’s capacity to invade and infiltrate normal surrounding brain tissue makes complete resection virtually impossible. After surgery, combined chemo-radiation is used to kill residual tumor cells and to delay recurrence. Temozolomide was approved by the Food and Drug Administration (FDA) in 2005 for treatment of adult GBM; subsequently, the FDA approved Avastin (Bevacizumab) for treating GBM. Nevertheless, with standard of care therapy, the median survival of children and adults with GBM is 15 months, and the 5-year survival rate is approximately 10 % [2]. This tumor ultimately takes the life of nearly every affected patient. It has been recently reported that VA patients with GBM showed a decreased median survival (6.5 months) relative to a national cohort of adults (9.0 months); furthermore, 1, 2, and 5 years survival rates in Veterans were 26.8, 5.4, and 0.5 %, respectively, versus 37.8, 12.8, and 4.1 %, respectively, in a comparable national cohort of adults. These GBM survival data highlight a potential disparity and a much worse clinical outcome among affected Veterans [3]; therefore, it is important to explore additional therapeutic options for treating GBM, especially in Veterans. The capacity of T cells to recognize allogeneic major histocompatibility complex (MHC) molecules as intact structures on the surface of foreign cells is called direct T cell allorecognition and is responsible for the powerful immune reactions associated with transplant rejection, a phenomenon called “alloagression” [4]. To a large extent this is due to the ability of allogeneic stimulation to mobilize up to 10 % of all T lymphocytes, compared with a precursor T-cell frequency of between 10−4 and 10−5 for most common antigens. At the same time, each of the lymphocytes activated through direct allorecognition will also recognize specific antigenic peptides presented in the context of a self-MHC molecule (MHC restriction). Cross-reactivity between alloantigens and self MHC-restricted antigens can be harnessed to target tumor-associated antigens [4]. Experimental results from studies with inbred mice and their syngeneic tumors have indicated that the inoculation of semi-allogeneic cell hybrids (derived from the fusion between syngeneic tumor cells and an allogeneic cell line) protects the animal host from a subsequent lethal inoculation with unmodified syngeneic tumor cells [5, 6]. Semi-allogeneic somatic cell hybrids were generated by fusing EL-4 T-lymphoma cells (H-2b) and BALB/c-derived renal adenocarcinoma RAG cells (H-2d); these hybrids were injected intra-peritoneally (i.p.) in C57BL/6 mice (H-2b). Vaccination with irradiated allogeneic cells alone or syngeneic tumor cells alone did not provide significant protection against a tumorigenic challenge with EL-4 cells [5]. The results of these studies also showed that the enhanced immunity was not due simply to an allogeneic effect. In fact, co-administration (injection) into experimental mice of allogeneic cells together with irradiated autologous tumor cells (i.e., without fusion) did not protect them from a subsequent inoculation with autologous tumor cells, supporting the conclusion that, in order to achieve maximum anti-tumor protection, the tumor-associated antigen and the alloantigen needed to be on the same cell [5]. Irradiated semi-allogeneic tumor cell hybrids conferred protection against a subsequent tumorigenic inoculation of EL-4 cells; in contrast, control mice that were mock-vaccinated with i.p.-injected phosphate-buffered saline (PBS) were killed by EL-4-derived lymphomas, which grew rapidly to a large size in the peritoneal cavity [6]. Focused microarray analyses performed on RNA purified from splenocytes of vaccinated (protected) mice revealed that expression of interferon (INF)-γ was upregulated while programmed cell death protein 1 (PD-1) expression was down-regulated compared to splenocyte RNA from control mice, suggesting that semi-allogeneic vaccines are able to activate cytotoxic T cells and interfere with, or even block, the tumor-mediated induction of immune tolerance, a key mechanism underlying the suppression of anti-tumor immunity in the immune competent host [6]. In an attempt to extend this immunotherapy approach to brain tumors, we tested semi-allogeneic vaccines in a mouse model of GBM. The mouse glioma 261 (GL261) was originally established by intracranial injection of 3-methylcholantrene into C57BL/6 mice (H-2b haplotype), and serially passaged intracranially or subcutaneously as tissue tumor pieces in syngeneic mice [7]. Subsequently, GL261-derived cell cultures were established to perform biological and immunological studies with the objective of investigating new treatment modalities for GBM [8]. This research team also reported that subcutaneous (s.c.) vaccination with irradiated GL261 cells was partially effective in a preventing the engraftment of GL261-derived brain tumors, but totally ineffective in a therapeutic setting, i.e., when administered on the day of intracranial tumor inoculation or 3 days thereafter [8]. Methods: Cell lines GL261 cells were a generous gift from Dr. Michael R. Olin (University of Minnesota), and were tested and found free of adventitious agents, before being injected into mice. GL261 cells (H-2b haplotype) were cultured in Dulbecco’s modified Eagle’s medium (DMEM, Invitrogen), added with 10 % of fetal bovine serum (FBS, Atlanta Biologicals). We also tested the resistance of these cells in medium containing various concentrations of the neomycin analog Geneticin (G418), and found that a medium containing 200 µg/mL of G418 could kill GL261 within 2 weeks. Our stock of GL 261 cells also expresses a transfected firefly luciferase gene, which allow us to monitor tumor engraftment by bioluminescence imaging technology (see below). RAG cells were purchased from the American Type Culture Collection (ATCC), tested and found free of adventitious agents, before being injected into mice. RAG cells were cultured in DMEM added with 10 % FBS. RAG cells are deficient in the X-linked hypoxanthine-guanine phosphoribosyl transferase gene (HGPRT−). They are a non-reverting, 8-azaguanine-resistant clone of the Renal-2a cell line, originally derived from a kidney adenocarcinoma of BALB/c origin (H-2d haplotype); therefore, they are killed in culture media containing a supplement of hypoxanthine, aminopterin, and thymidine (HAT, Invitrogen). We have previously confirmed that RAG cells are non-reverting, 8-azaguanine-resistant, and HAT-sensitive [5, 6]. Neomycin-resistant RAG cells were generated by DNA-mediated gene transfer of the pRSV-neo plasmid (RAG-neo), as previously described [9]. RAG-neo cells can grow in medium containing >400 µg/mL of G418. To generate semi-allogeneic somatic cell hybrids, single-cell suspensions of GL261 and RAG-neo cells were mixed at a 3:1 ratio in serum-free DMEM containing 50 μM sodium dodecyl sulfate (SDS) and centrifuged at 300×g for 5 min (min) at room temperature. The mixed cell pellet was then slowly suspended in 1 mL 50 % polyethylene glycol (PEG)-1450 (cell-culture grade from the ATCC and diluted in serum-free DMEM) over a 1 min period while gently stirring. The cell suspension was then slowly diluted over a 2 min period with DMEM supplemented with 10 % FBS. After centrifuging at 300xg for 5 min, fused cells were plated in selective medium (DMEM + 10 % FBS, containing 400 µg/mL G418 and HAT supplement). Under these culture conditions only RAG x GL261 semi-allogeneic somatic cell hybrids can survive, since RAG-neo cells are killed by aminopterin and GL261 cells are killed by G418. GL261 cells were a generous gift from Dr. Michael R. Olin (University of Minnesota), and were tested and found free of adventitious agents, before being injected into mice. GL261 cells (H-2b haplotype) were cultured in Dulbecco’s modified Eagle’s medium (DMEM, Invitrogen), added with 10 % of fetal bovine serum (FBS, Atlanta Biologicals). We also tested the resistance of these cells in medium containing various concentrations of the neomycin analog Geneticin (G418), and found that a medium containing 200 µg/mL of G418 could kill GL261 within 2 weeks. Our stock of GL 261 cells also expresses a transfected firefly luciferase gene, which allow us to monitor tumor engraftment by bioluminescence imaging technology (see below). RAG cells were purchased from the American Type Culture Collection (ATCC), tested and found free of adventitious agents, before being injected into mice. RAG cells were cultured in DMEM added with 10 % FBS. RAG cells are deficient in the X-linked hypoxanthine-guanine phosphoribosyl transferase gene (HGPRT−). They are a non-reverting, 8-azaguanine-resistant clone of the Renal-2a cell line, originally derived from a kidney adenocarcinoma of BALB/c origin (H-2d haplotype); therefore, they are killed in culture media containing a supplement of hypoxanthine, aminopterin, and thymidine (HAT, Invitrogen). We have previously confirmed that RAG cells are non-reverting, 8-azaguanine-resistant, and HAT-sensitive [5, 6]. Neomycin-resistant RAG cells were generated by DNA-mediated gene transfer of the pRSV-neo plasmid (RAG-neo), as previously described [9]. RAG-neo cells can grow in medium containing >400 µg/mL of G418. To generate semi-allogeneic somatic cell hybrids, single-cell suspensions of GL261 and RAG-neo cells were mixed at a 3:1 ratio in serum-free DMEM containing 50 μM sodium dodecyl sulfate (SDS) and centrifuged at 300×g for 5 min (min) at room temperature. The mixed cell pellet was then slowly suspended in 1 mL 50 % polyethylene glycol (PEG)-1450 (cell-culture grade from the ATCC and diluted in serum-free DMEM) over a 1 min period while gently stirring. The cell suspension was then slowly diluted over a 2 min period with DMEM supplemented with 10 % FBS. After centrifuging at 300xg for 5 min, fused cells were plated in selective medium (DMEM + 10 % FBS, containing 400 µg/mL G418 and HAT supplement). Under these culture conditions only RAG x GL261 semi-allogeneic somatic cell hybrids can survive, since RAG-neo cells are killed by aminopterin and GL261 cells are killed by G418. Fluorescence-activated cell sorting (FACS) Drug-resistant cultures were expanded and tested by FACS for co-expression of MHC surface antigens using phycoerythrin (PE)-labeled, H-2Kb-specific monoclonal antibody (MAb) AF6-88.5 (BD Bioscience cat.# 553570), and allophycocyanin (APC)-labeled, H-2Kd-specific MAb SF1.1 (eBioscience cat.# 17-5957-82). Drug-resistant cultures were expanded and tested by FACS for co-expression of MHC surface antigens using phycoerythrin (PE)-labeled, H-2Kb-specific monoclonal antibody (MAb) AF6-88.5 (BD Bioscience cat.# 553570), and allophycocyanin (APC)-labeled, H-2Kd-specific MAb SF1.1 (eBioscience cat.# 17-5957-82). Animals Mouse studies were reviewed and approved by the Institutional Animal Care and Use Committee (IACUC) and were conducted in accordance with all applicable national and institutional guidelines for the care and use of animals. Ten to twelve week-old C57BL/6 male mice (Jackson Laboratories) were anesthetized by i.p. injection of Ketamine (JHP Pharmaceuticals—90 mg/per kg) and Xylazine (Lloyd Laboratories—10 mg/kg), and positioned in a Kopf stereotaxic frame for intracranial injection into the striatum (2.2 mm medio-lateral, 0.2 mm anterior-posterior, and 3 mm dorso-ventral). Injection into the right cerebral hemisphere of GL261 cells suspended in PBS (2 × 104/mouse) was performed using a 5 μL Hamilton micro-syringe under mechanical control to avoid brain injuries during the procedure. Three days after tumor inoculation, treated mice were injected s.c. with lethally irradiated [30 Gray (Gy)] GL261xRAG-neo hybrids (106 cells per mouse) in 0.5 mL PBS, and control mice were injected s.c. with 0.5 mL PBS alone (mock-vaccination). Mice were checked daily until the end of the experiment. Mice were euthanized as soon as they looked sick. Length of animal survival was measured by means of Kaplan–Meier graphs. Data from the animal experiments were analyzed using GraphPad Prism software program (GraphPad Software Inc., La Jolla, CA, USA), with p < 0.05 indicating statistical significance. Approximately 120 mice were tested in these experiments, including mice used in preliminary studies aimed at optimizing the surgical procedures and determining the timing of vaccine administration. Less than 5 % of mice receiving intracranial inoculation of GL261 cells died within 48 h after surgery; these mice were excluded from the survival analyses. Mouse studies were reviewed and approved by the Institutional Animal Care and Use Committee (IACUC) and were conducted in accordance with all applicable national and institutional guidelines for the care and use of animals. Ten to twelve week-old C57BL/6 male mice (Jackson Laboratories) were anesthetized by i.p. injection of Ketamine (JHP Pharmaceuticals—90 mg/per kg) and Xylazine (Lloyd Laboratories—10 mg/kg), and positioned in a Kopf stereotaxic frame for intracranial injection into the striatum (2.2 mm medio-lateral, 0.2 mm anterior-posterior, and 3 mm dorso-ventral). Injection into the right cerebral hemisphere of GL261 cells suspended in PBS (2 × 104/mouse) was performed using a 5 μL Hamilton micro-syringe under mechanical control to avoid brain injuries during the procedure. Three days after tumor inoculation, treated mice were injected s.c. with lethally irradiated [30 Gray (Gy)] GL261xRAG-neo hybrids (106 cells per mouse) in 0.5 mL PBS, and control mice were injected s.c. with 0.5 mL PBS alone (mock-vaccination). Mice were checked daily until the end of the experiment. Mice were euthanized as soon as they looked sick. Length of animal survival was measured by means of Kaplan–Meier graphs. Data from the animal experiments were analyzed using GraphPad Prism software program (GraphPad Software Inc., La Jolla, CA, USA), with p < 0.05 indicating statistical significance. Approximately 120 mice were tested in these experiments, including mice used in preliminary studies aimed at optimizing the surgical procedures and determining the timing of vaccine administration. Less than 5 % of mice receiving intracranial inoculation of GL261 cells died within 48 h after surgery; these mice were excluded from the survival analyses. Bioluminescence Imaging (BLI) For BLI studies, luciferase activity was monitored using an Ivis 200 Spectrum Instrument (Perkin Elmer, Waltham, MA). Two and four days post-implantation of GL261 cells in the brain, mice were anesthetized in a chamber by inhalation of isoflurane (Florane, Baxter) at 2–3 % in oxygen for the duration of the imaging session, and injected i.p. with 150 μL (150 mg/kg) of the bioluminescent substrate ReadyJect D-Luciferin (PerkinElmer). Up to three mice were placed within the BLI chamber and imaged until measurable luciferase activity could be recorded. Serial images were obtained at 1, 4, 7, and 10 min after i.p. injection of luciferin. Mice were imaged using the following parameters: field of view C, exposure time 60 s, medium binning and F/Stop:1. Luciferase activity was calculated using Living Image Software (Perkin Elmer). For BLI studies, luciferase activity was monitored using an Ivis 200 Spectrum Instrument (Perkin Elmer, Waltham, MA). Two and four days post-implantation of GL261 cells in the brain, mice were anesthetized in a chamber by inhalation of isoflurane (Florane, Baxter) at 2–3 % in oxygen for the duration of the imaging session, and injected i.p. with 150 μL (150 mg/kg) of the bioluminescent substrate ReadyJect D-Luciferin (PerkinElmer). Up to three mice were placed within the BLI chamber and imaged until measurable luciferase activity could be recorded. Serial images were obtained at 1, 4, 7, and 10 min after i.p. injection of luciferin. Mice were imaged using the following parameters: field of view C, exposure time 60 s, medium binning and F/Stop:1. Luciferase activity was calculated using Living Image Software (Perkin Elmer). Pathology and immunohistochemistry At time of sacrifice, mouse brains were removed and fixed for 24 h in 4 % paraformaldehyde in PBS. After fixation, brains were immersed in 30 % sucrose for cryosectioning; sections were 5–30 μm-thick depending on the study. For morphological analysis, sections were stained with Hematoxylin and Eosin (H&E). Tumor volumes (in mm3) were estimated using image analysis (NIH Image software ImageJ 1.37v). For immunohistochemical studies, tissue sections were placed into wells containing 0.5 mL of Tris-buffered saline (TBS) and incubated in blocking buffer (TBS + 5 % FBS) for 1 h at room temperature. Primary antibodies diluted in blocking buffer were applied for 24 h at 4 °C. Primary antibodies used were: microglia-specific anti-Iba1 (1:500; Wako cat.# 019-19741); anti-Ki-67 (1:100 abcam cat.# ab16667); anti-CD3 (1:100 abcam cat.# ab5690); anti-CD4 (1:100 abcam cat.# ab25475); anti-CD8 (1:100 abcam cat.# 22378). After the first incubation, sections were washed in TBS three times for 5 min and incubated for 60 min with secondary antibody (VECTSTAIN ABC Kit), followed by development using 3,3′-diaminobenzidine (DAB) horseradish peroxidase (HRP) substrate (Vector Laboratories). Control sections were processed in identical fashion, except that the primary antibodies were omitted. At time of sacrifice, mouse brains were removed and fixed for 24 h in 4 % paraformaldehyde in PBS. After fixation, brains were immersed in 30 % sucrose for cryosectioning; sections were 5–30 μm-thick depending on the study. For morphological analysis, sections were stained with Hematoxylin and Eosin (H&E). Tumor volumes (in mm3) were estimated using image analysis (NIH Image software ImageJ 1.37v). For immunohistochemical studies, tissue sections were placed into wells containing 0.5 mL of Tris-buffered saline (TBS) and incubated in blocking buffer (TBS + 5 % FBS) for 1 h at room temperature. Primary antibodies diluted in blocking buffer were applied for 24 h at 4 °C. Primary antibodies used were: microglia-specific anti-Iba1 (1:500; Wako cat.# 019-19741); anti-Ki-67 (1:100 abcam cat.# ab16667); anti-CD3 (1:100 abcam cat.# ab5690); anti-CD4 (1:100 abcam cat.# ab25475); anti-CD8 (1:100 abcam cat.# 22378). After the first incubation, sections were washed in TBS three times for 5 min and incubated for 60 min with secondary antibody (VECTSTAIN ABC Kit), followed by development using 3,3′-diaminobenzidine (DAB) horseradish peroxidase (HRP) substrate (Vector Laboratories). Control sections were processed in identical fashion, except that the primary antibodies were omitted. Cell lines: GL261 cells were a generous gift from Dr. Michael R. Olin (University of Minnesota), and were tested and found free of adventitious agents, before being injected into mice. GL261 cells (H-2b haplotype) were cultured in Dulbecco’s modified Eagle’s medium (DMEM, Invitrogen), added with 10 % of fetal bovine serum (FBS, Atlanta Biologicals). We also tested the resistance of these cells in medium containing various concentrations of the neomycin analog Geneticin (G418), and found that a medium containing 200 µg/mL of G418 could kill GL261 within 2 weeks. Our stock of GL 261 cells also expresses a transfected firefly luciferase gene, which allow us to monitor tumor engraftment by bioluminescence imaging technology (see below). RAG cells were purchased from the American Type Culture Collection (ATCC), tested and found free of adventitious agents, before being injected into mice. RAG cells were cultured in DMEM added with 10 % FBS. RAG cells are deficient in the X-linked hypoxanthine-guanine phosphoribosyl transferase gene (HGPRT−). They are a non-reverting, 8-azaguanine-resistant clone of the Renal-2a cell line, originally derived from a kidney adenocarcinoma of BALB/c origin (H-2d haplotype); therefore, they are killed in culture media containing a supplement of hypoxanthine, aminopterin, and thymidine (HAT, Invitrogen). We have previously confirmed that RAG cells are non-reverting, 8-azaguanine-resistant, and HAT-sensitive [5, 6]. Neomycin-resistant RAG cells were generated by DNA-mediated gene transfer of the pRSV-neo plasmid (RAG-neo), as previously described [9]. RAG-neo cells can grow in medium containing >400 µg/mL of G418. To generate semi-allogeneic somatic cell hybrids, single-cell suspensions of GL261 and RAG-neo cells were mixed at a 3:1 ratio in serum-free DMEM containing 50 μM sodium dodecyl sulfate (SDS) and centrifuged at 300×g for 5 min (min) at room temperature. The mixed cell pellet was then slowly suspended in 1 mL 50 % polyethylene glycol (PEG)-1450 (cell-culture grade from the ATCC and diluted in serum-free DMEM) over a 1 min period while gently stirring. The cell suspension was then slowly diluted over a 2 min period with DMEM supplemented with 10 % FBS. After centrifuging at 300xg for 5 min, fused cells were plated in selective medium (DMEM + 10 % FBS, containing 400 µg/mL G418 and HAT supplement). Under these culture conditions only RAG x GL261 semi-allogeneic somatic cell hybrids can survive, since RAG-neo cells are killed by aminopterin and GL261 cells are killed by G418. Fluorescence-activated cell sorting (FACS): Drug-resistant cultures were expanded and tested by FACS for co-expression of MHC surface antigens using phycoerythrin (PE)-labeled, H-2Kb-specific monoclonal antibody (MAb) AF6-88.5 (BD Bioscience cat.# 553570), and allophycocyanin (APC)-labeled, H-2Kd-specific MAb SF1.1 (eBioscience cat.# 17-5957-82). Animals: Mouse studies were reviewed and approved by the Institutional Animal Care and Use Committee (IACUC) and were conducted in accordance with all applicable national and institutional guidelines for the care and use of animals. Ten to twelve week-old C57BL/6 male mice (Jackson Laboratories) were anesthetized by i.p. injection of Ketamine (JHP Pharmaceuticals—90 mg/per kg) and Xylazine (Lloyd Laboratories—10 mg/kg), and positioned in a Kopf stereotaxic frame for intracranial injection into the striatum (2.2 mm medio-lateral, 0.2 mm anterior-posterior, and 3 mm dorso-ventral). Injection into the right cerebral hemisphere of GL261 cells suspended in PBS (2 × 104/mouse) was performed using a 5 μL Hamilton micro-syringe under mechanical control to avoid brain injuries during the procedure. Three days after tumor inoculation, treated mice were injected s.c. with lethally irradiated [30 Gray (Gy)] GL261xRAG-neo hybrids (106 cells per mouse) in 0.5 mL PBS, and control mice were injected s.c. with 0.5 mL PBS alone (mock-vaccination). Mice were checked daily until the end of the experiment. Mice were euthanized as soon as they looked sick. Length of animal survival was measured by means of Kaplan–Meier graphs. Data from the animal experiments were analyzed using GraphPad Prism software program (GraphPad Software Inc., La Jolla, CA, USA), with p < 0.05 indicating statistical significance. Approximately 120 mice were tested in these experiments, including mice used in preliminary studies aimed at optimizing the surgical procedures and determining the timing of vaccine administration. Less than 5 % of mice receiving intracranial inoculation of GL261 cells died within 48 h after surgery; these mice were excluded from the survival analyses. Bioluminescence Imaging (BLI): For BLI studies, luciferase activity was monitored using an Ivis 200 Spectrum Instrument (Perkin Elmer, Waltham, MA). Two and four days post-implantation of GL261 cells in the brain, mice were anesthetized in a chamber by inhalation of isoflurane (Florane, Baxter) at 2–3 % in oxygen for the duration of the imaging session, and injected i.p. with 150 μL (150 mg/kg) of the bioluminescent substrate ReadyJect D-Luciferin (PerkinElmer). Up to three mice were placed within the BLI chamber and imaged until measurable luciferase activity could be recorded. Serial images were obtained at 1, 4, 7, and 10 min after i.p. injection of luciferin. Mice were imaged using the following parameters: field of view C, exposure time 60 s, medium binning and F/Stop:1. Luciferase activity was calculated using Living Image Software (Perkin Elmer). Pathology and immunohistochemistry: At time of sacrifice, mouse brains were removed and fixed for 24 h in 4 % paraformaldehyde in PBS. After fixation, brains were immersed in 30 % sucrose for cryosectioning; sections were 5–30 μm-thick depending on the study. For morphological analysis, sections were stained with Hematoxylin and Eosin (H&E). Tumor volumes (in mm3) were estimated using image analysis (NIH Image software ImageJ 1.37v). For immunohistochemical studies, tissue sections were placed into wells containing 0.5 mL of Tris-buffered saline (TBS) and incubated in blocking buffer (TBS + 5 % FBS) for 1 h at room temperature. Primary antibodies diluted in blocking buffer were applied for 24 h at 4 °C. Primary antibodies used were: microglia-specific anti-Iba1 (1:500; Wako cat.# 019-19741); anti-Ki-67 (1:100 abcam cat.# ab16667); anti-CD3 (1:100 abcam cat.# ab5690); anti-CD4 (1:100 abcam cat.# ab25475); anti-CD8 (1:100 abcam cat.# 22378). After the first incubation, sections were washed in TBS three times for 5 min and incubated for 60 min with secondary antibody (VECTSTAIN ABC Kit), followed by development using 3,3′-diaminobenzidine (DAB) horseradish peroxidase (HRP) substrate (Vector Laboratories). Control sections were processed in identical fashion, except that the primary antibodies were omitted. Results: Single-cell suspensions of GL261 and RAG-neo cultures were fused using PEG 1450 and semi-allogeneic somatic cell hybrids were selected in DMEM + 10 % FBS, containing 400 µg/mL G418 and HAT supplement. HAT-resistant and neomycin-resistant cell colonies became visible after 2–3 weeks; drug-resistant cultures were expanded and tested by FACS for expression of cell surface antigens derived from each parental cell. As expected, semi-allogeneic somatic cell hybrids expressed both H-2Kb (GL261) and H-2Kd (RAG-neo) MHC antigens (Fig. 1).Fig. 1Cell surface staining of parental (GL261 and RAG) cells and semi-allogeneic somatic cell hybrids (GL261xRAG). Single-cell suspensions of each cell line were incubated with PE-labeled, H-2Kb-specific MAb AF6-88.5, and APC-labeled, H-2Kd-specific MAb SF1-1.1. Cell surface expressions of H-2Kb and H-2Kd antigens were measured by flow-cytometry. Dot-plots show that GL261 cells only express the H-2Kb antigen, RAG cells only express the H-2Kd antigen, while GL261xRAG cells express both antigens Cell surface staining of parental (GL261 and RAG) cells and semi-allogeneic somatic cell hybrids (GL261xRAG). Single-cell suspensions of each cell line were incubated with PE-labeled, H-2Kb-specific MAb AF6-88.5, and APC-labeled, H-2Kd-specific MAb SF1-1.1. Cell surface expressions of H-2Kb and H-2Kd antigens were measured by flow-cytometry. Dot-plots show that GL261 cells only express the H-2Kb antigen, RAG cells only express the H-2Kd antigen, while GL261xRAG cells express both antigens We wanted to establish how soon GL261-derived tumors were detectable after intracranial injection of 2 × 104 GL261 cells per mouse. GL261 cells express a transfected gene coding for the firefly luciferase, which allows us to monitor tumor engraftment by bioluminescence imaging (BLI). Eight mice were imaged 2 days post-implantation of GL261 cells and six of them (75 %) showed measurable luciferase activity within the brain, demonstrating the presence of metabolically active tumor cells. Figure 2a shows six of the eight mice imaged 2 days post-implantation of GL261 cells, including mice #1 and #5 which appeared to be negative. On day four post-implantation, both of these mice showed luciferase activity within the right hemisphere of the brain, demonstrating that the implanted GL261 cells, although not visible 2 days after inoculation in these mice, became detectable later because they grew over time (Fig. 2b).Fig. 2Bioluminescence Imaging (BLI). All mice received an intracranial injection of 2 × 104 GL261 cells/mouse. For BLI, mice were anesthetized in a chamber containing a mixture of isoflurane (Florane, Baxter) and injected i.p. with 150 μL of the bioluminescent substrate ReadyJect d-Luciferin. Mice were placed within the chamber of a Xenogen IVIS 200 Bioluminescence and Fluorescence Imaging System for up to 10 min and sets of serial images obtained. Eight mice were imaged 2 days post-implantation of GL261 cells and six of them (75 %) showed measurable luciferase signal within the brain. a shows six of the eight imaged mice, including mice #1 and #5 which showed no signal. On day four post-implantation, both mice #1 and #5 showed a positive signal within the brain (b) Bioluminescence Imaging (BLI). All mice received an intracranial injection of 2 × 104 GL261 cells/mouse. For BLI, mice were anesthetized in a chamber containing a mixture of isoflurane (Florane, Baxter) and injected i.p. with 150 μL of the bioluminescent substrate ReadyJect d-Luciferin. Mice were placed within the chamber of a Xenogen IVIS 200 Bioluminescence and Fluorescence Imaging System for up to 10 min and sets of serial images obtained. Eight mice were imaged 2 days post-implantation of GL261 cells and six of them (75 %) showed measurable luciferase signal within the brain. a shows six of the eight imaged mice, including mice #1 and #5 which showed no signal. On day four post-implantation, both mice #1 and #5 showed a positive signal within the brain (b) In order to test GL261xRAG-neo hybrids as therapeutic vaccines against GL261-derived glioma, 10 week-old C57BL/6 mice were administered under anesthesia an intracranial injection of 2 × 104 GL261 cells per mouse and after 3 days mice in the experimental group received a s.c. injection of irradiated GL261xRAG-neo hybrids (106 cells per mouse) in PBS, and control mice were injected s.c. with PBS alone. We observed a significant longer survival in mice receiving the vaccine compared to control mice (Fig. 3a–c; p = 0.0027, p = 0.0466, and p = 0.0258, respectively). The longest-surviving vaccinated mice from experiments shown in Fig. 3b, c were imaged by BLI at 99 and 93 days post-implantation of GL261 cells, respectively, and compared to tumor-bearing mice as positive controls (Fig. 4). We observed no bioluminescence in the brain of the vaccinated mice compared to the control mice, which exhibited a strong positive signal, suggesting that the longest-surviving vaccinated mice were disease-free. The BLI-negative mouse shown in Fig. 4a had previously shown strong brain bioluminescence 2 days post-implantation of GL261 cells (mouse #2 in Fig. 2a) and was sacrificed 128 days post-implantation to collect spleen and cervical lymph nodes (no tumor was observed in the brain). The BLI-negative mouse shown in Fig. 4b was sacrificed at day 105 post-implantation to collect spleen and cervical lymph nodes. The results of these animal experiments are consistent with the estimate that 5-10 % of mice receiving a single vaccine administration became long-term survivors and appeared to be disease-free (and possibly cured) by BLI.Fig. 3Survival graphs. a–c show Kaplan–Meier survival graphs of vaccinated (treated) vs. mock-vaccinated (control) mice. Three days after intracranial injection of 2 × 104 GL261 cells, control mice were mock-vaccinated s.c. with 0.5 mL PBS (blue graphs), while treated mice were vaccinated with lethally irradiated GL261xRAG-neo hybrids (106 cells/mouse) in 0.5 mL PBS (red graphs). Overall survival of vaccinated mice was significantly longer (p = 0.0027, p = 0.0466, and p = 0.0258, respectively)Fig. 4BLI of long-term surviving mice. The vaccinated mouse shown on the left in figure a underwent BLI at 99 days post-engraftment of GL261 cells; two control tumor-bearing mice are shown at the center and right. The vaccinated mouse shown on the right of figure b underwent BLI at 93 days post-engraftment with 2 × 104 GL261 cells; two control tumor-bearing mice are shown at the center and left. Both vaccinated, long-term surviving mice appeared to be disease-free Survival graphs. a–c show Kaplan–Meier survival graphs of vaccinated (treated) vs. mock-vaccinated (control) mice. Three days after intracranial injection of 2 × 104 GL261 cells, control mice were mock-vaccinated s.c. with 0.5 mL PBS (blue graphs), while treated mice were vaccinated with lethally irradiated GL261xRAG-neo hybrids (106 cells/mouse) in 0.5 mL PBS (red graphs). Overall survival of vaccinated mice was significantly longer (p = 0.0027, p = 0.0466, and p = 0.0258, respectively) BLI of long-term surviving mice. The vaccinated mouse shown on the left in figure a underwent BLI at 99 days post-engraftment of GL261 cells; two control tumor-bearing mice are shown at the center and right. The vaccinated mouse shown on the right of figure b underwent BLI at 93 days post-engraftment with 2 × 104 GL261 cells; two control tumor-bearing mice are shown at the center and left. Both vaccinated, long-term surviving mice appeared to be disease-free Brain tissue from mock-vaccinated mice (PBS alone) and two vaccinated mice sacrificed 86 days post-implantation of GL261 cells (from survival experiment shown in Fig. 3a) were processed for histological examination and sections prepared for immunohistochemical staining, using as primary antibody a rabbit polyclonal antiserum specific for “ionized calcium binding adaptor molecule 1” (Iba1), a well-known marker for activated microglia (Fig. 5). We observed that microglia cells were less numerous within and around the tumor of mock-vaccinated mice (Fig. 5a, b), compared to vaccinated mice (Fig. 5c–f). Activated microglia appeared to form a fence along the perimeter of the tumor cells (Fig. 5e). We also used antibodies specific for CD3, CD4, and CD8 and observed lymphocytic infiltrates; in contrast to what observed with microglia, there were no obvious differences in tumor sections from vaccinated mice compared to tumor sections from mock-vaccinated mice (data not shown). Brain sections were also stained with anti-Ki67 rabbit monoclonal SP6 (abcam, Cambridge, MA, USA) to investigate whether there were differences in the growth fraction of tumors from vaccinated mice compared to tumors from mock-vaccinated mice. We observed that the intensity and prevalence of Ki67-positive cells was comparable between the two groups and that in large tumors Ki67-positive cells were especially numerous at the edge of the tumor (data not shown).Fig. 5Immunoperoxidase staining of microglia in brain sections from mock-vaccinated and vaccinated mice. a The large tumor from a mock-vaccinated mouse occupies the central, lower and right areas in this image. Uninvolved brain is in the upper left quadrant of the image. Brown staining marks microglia in the surrounding brain and in the tumor. The border of the tumor with the surrounding brain is distinct but ragged (magnification ×20). b This photomicrograph from the same mock-vaccinated mouse shows the interface of tumor and adjacent brain. Staining for microglia is present in both. Tumor cells are hyperchromatic and atypical mitoses are present. A thin rim of microglia staining adjacent to tumor cells is visible (magnification ×100). c This photomicrograph shows a much smaller tumor in a vaccinated mouse. Microglia cells are intermingled within the tumor, attached to tumor cells, and are more numerous in surrounding brain. Microglia cells are also more numerous around tumor cells in vaccinated mice compared to mock-vaccinated ones (magnification ×40). d In this photomicrograph from the same vaccinated mouse, numerous microglia cells surround glioblastoma cells, distinguished by their nuclear atypia, pleomorphism, nucleomegaly and nucleoli. Microglia have much smaller nuclei and their cytoplasm is marked by the immunoperoxidase stain (magnification ×200). e In a different vaccinated mouse, microglia surround tumor cells, which are very large and have nucleomegaly with multiple nucleoli. Stained microglia cells are located on the perimeter of the malignant cells (magnification ×400). f This low-power image of a small tumor from a vaccinated mouse shows the concentration of staining within the tumor and the large number of activated microglia in the surrounding neuropil (magnification ×20) Immunoperoxidase staining of microglia in brain sections from mock-vaccinated and vaccinated mice. a The large tumor from a mock-vaccinated mouse occupies the central, lower and right areas in this image. Uninvolved brain is in the upper left quadrant of the image. Brown staining marks microglia in the surrounding brain and in the tumor. The border of the tumor with the surrounding brain is distinct but ragged (magnification ×20). b This photomicrograph from the same mock-vaccinated mouse shows the interface of tumor and adjacent brain. Staining for microglia is present in both. Tumor cells are hyperchromatic and atypical mitoses are present. A thin rim of microglia staining adjacent to tumor cells is visible (magnification ×100). c This photomicrograph shows a much smaller tumor in a vaccinated mouse. Microglia cells are intermingled within the tumor, attached to tumor cells, and are more numerous in surrounding brain. Microglia cells are also more numerous around tumor cells in vaccinated mice compared to mock-vaccinated ones (magnification ×40). d In this photomicrograph from the same vaccinated mouse, numerous microglia cells surround glioblastoma cells, distinguished by their nuclear atypia, pleomorphism, nucleomegaly and nucleoli. Microglia have much smaller nuclei and their cytoplasm is marked by the immunoperoxidase stain (magnification ×200). e In a different vaccinated mouse, microglia surround tumor cells, which are very large and have nucleomegaly with multiple nucleoli. Stained microglia cells are located on the perimeter of the malignant cells (magnification ×400). f This low-power image of a small tumor from a vaccinated mouse shows the concentration of staining within the tumor and the large number of activated microglia in the surrounding neuropil (magnification ×20) Because of the significantly longer survival of vaccinated mice compared to mock-vaccinated ones, we attempted to quantify the difference in tumor volume between the two groups. Fourteen mice were inoculated with 2 × 104 GL261 cells/mouse injected into the right hemisphere and after 3 days seven of them were injected s.c. with lethally irradiated (30 Gy) GL261xRAG-neo hybrids (106 cells per mouse). As soon as any mock-vaccinated mouse showed signs of stress or discomfort, it was sacrificed together with a randomly picked mouse from the vaccinated group and the brains processed for comparison of each pair. Figure 6a shows low-magnification sections of the brain from the first three pairs and demonstrate the striking difference in tumor size between the two groups at each time point. Comparison of tumor volumes based on serial sections of the brain from seven pairs of vaccinated and mock-vaccinated mice are shown in Fig. 6b, c. Tumor volumes were significantly smaller in vaccinated mice compared to mock-vaccinated mice (p < 0.0031).Fig. 6Comparison of tumor size in brain sections from vaccinated and mock-vaccinated mice. Animals from the two groups were sacrificed in pairs when any control mouse showed signs of discomfort. a shows corresponding sections of the brain (stained by H&E) from three pairs of mice for comparison. Tumors from mock-vaccinated mice (i, iii, v) occupied most of the right hemisphere. In contrast, tumors from vaccinated mice (ii, iv, vi) were much smaller. b shows the bar graph of tumor volumes for each of the seven pairs of mice. c shows the bar graph of the cumulative data; tumor volumes were significantly smaller in vaccinated mice compared to mock-vaccinated mice (p < 0.0031). Tumor volumes (in mm3) were estimated using image analysis (NIH Image software ImageJ 1.37v) Comparison of tumor size in brain sections from vaccinated and mock-vaccinated mice. Animals from the two groups were sacrificed in pairs when any control mouse showed signs of discomfort. a shows corresponding sections of the brain (stained by H&E) from three pairs of mice for comparison. Tumors from mock-vaccinated mice (i, iii, v) occupied most of the right hemisphere. In contrast, tumors from vaccinated mice (ii, iv, vi) were much smaller. b shows the bar graph of tumor volumes for each of the seven pairs of mice. c shows the bar graph of the cumulative data; tumor volumes were significantly smaller in vaccinated mice compared to mock-vaccinated mice (p < 0.0031). Tumor volumes (in mm3) were estimated using image analysis (NIH Image software ImageJ 1.37v) Discussion: We report on the efficacy of a therapeutic cancer vaccine in mice inoculated with a lethal dose of GL261 glioma cells in the right hemisphere of the brain. Overall survival of vaccinated mice was significantly longer compared to mock-vaccinated mice. Tumor volume in the brain of vaccinated mice was on average five to ten-fold smaller compared to mock-vaccinated mice. The significant differences in tumor size and overall survival between vaccinated and mock-vaccinated mice resulted from a single s.c. injection of irradiated vaccine. It must be noted that subcutaneous vaccination with irradiated GL261 cells alone was partially effective in a preventive setting, but totally ineffective in a therapeutic setting, i.e., when administered on the day of intracranial tumor inoculation or 3 days thereafter [8]. Our results show that irradiated semi-allogeneic vaccines are effective in a therapeutic setting. In vaccinated mice, conspicuous microglia infiltrates were observed in tumor tissue sections and activated microglia appeared to form a fence along the perimeter of the tumor cells. Although these observations suggest an anti-GBM role for microglia infiltrates in vaccinated mice, the balance of published evidence suggests that glioma-infiltrating macrophages favor tumor growth and infiltration into normal brain [10–12]. Although we did not observe clear differences in T cell infiltrates between vaccinated and mock-vaccinated mice, this does not imply that T cells do not play an important role in the anti-tumor response. Studies involving knock-out mice missing specific T-cell or macrophage cell lineages together with in vitro studies are presently being conducted to properly address this important issue. Additional immunohistochemical studies involving vaccinated and mock-vaccinated mice sacrificed at regular intervals will also be informative and help us understand the role of cell types responsible for the anti-tumor effects. We reported on the use of semi-allogeneic vaccines as stimulators of HIV-envelope-specific cytotoxic T lymphocytes (CTL) and we proposed that semi-allogeneic cell hybrids functionally mimic antigen-presenting cells (APC) by concomitantly stimulating alloantigen-specific T helper cells via allogeneic MHC, and antigen-specific CTL precursors via antigen presentation through self-MHC [13]. We also proposed that the Th-1 cytokine response, induced through alloantigen-specific help, activates more efficiently antigen-specific CTL and that the cytokine-rich microenvironment of allograft rejection is crucial to attracting dendritic APC [5].Taken together, the results of these previous studies suggest that the semi-allogeneic platform for therapeutic cancer vaccines is essentially made of three components: (1) A “self” component, represented by the host-derived MHC haplotype (e.g., H-2b) expressed by the tumor cells; (2) an “allo” (non-self) component represented by a different cell line (e.g., RAG), that has a different MHC (H-2d) haplotype; and (3) an “antigenic” component which is specific for the tumor (e.g., GL261). It should be possible to extend this immunotherapy approach to human subjects with GBM and test it through properly designed clinical studies. By fusing RAG-like human cells [9, 14] with single cell suspensions from each patient-derived GBM, the antigenic complexity and specificity of each tumor would be captured, resulting in a therapeutic vaccine that is representative of each patient’s GBM. Thus, the long-term objective of this translational research effort is to test irradiated, semi-allogeneic vaccines as an adjuvant to standard of care for human subjects diagnosed with GBM. Conclusions: The results of these animal studies persuaded the Office of Orphan Products Development of the Food and Drug Administration to grant Orphan Drug Designation to the corresponding author for treatment of GBM with irradiated, semi-allogeneic vaccines. Furthermore, these results are consistent with the recognition that immunotherapy has emerged as an important adjuvant in the therapeutic armamentarium of clinicians against GBM [15], and support the goal of translating our immunotherapy approach into clinical studies, with a special focus on Veterans with GBM, because of their significantly shorter survival compared to non-VA patients with the same diagnosis [3].
Background: Glioblastoma (GBM) is the deadliest of brain tumors. Standard treatment for GBM is surgery, followed by combined radiation therapy and chemotherapy. Current therapy prolongs survival but does not offer a cure. We report on a novel immunotherapy against GBM, tested in an animal model of C57BL/6 mice injected intra-cranially with a lethal dose of murine GL261 glioma cells. Methods: Ten week-old C57BL/6 mice were anesthetized before injection of 2 × 10(4) GL261 cells in the right cerebral hemisphere and after 3 days half of the mice were administered a single subcutaneous (s.c.) injection of irradiated semi-allogeneic vaccine, while mock-vaccinated mice received a s.c. injection of phosphate-buffered saline (PBS). Tumor engraftment was monitored through bioluminescence imaging (BLI). Length of animal survival was measured by Kaplan-Meier graphs and statistics. At time of sacrifice brain tissue was processed for estimation of tumor size and immunohistochemical studies. Results: Overall survival of vaccinated mice was significantly longer compared to mock-vaccinated mice. Five to ten percent of vaccinated mice survived more than 90 days following the engraftment of GL261 cells in the brain and appeared to be free of disease by BLI. Tumor volume in the brain of vaccinated mice was on average five to ten-fold smaller compared to mock-vaccinated mice. In vaccinated mice, conspicuous microglia infiltrates were observed in tumor tissue sections and activated microglia appeared to form a fence along the perimeter of the tumor cells. The results of these animal studies persuaded the Office of Orphan Products Development of the Food and Drug Administration (FDA) to grant Orphan Drug Designation for treatment of GBM with irradiated, semi-allogeneic vaccines. Conclusions: Our preclinical observations suggest that semi-allogeneic vaccines could be tested clinically on subjects with GBM, as an adjuvant to standard treatment.
Background: Glioblastoma multiforme (GBM) is the deadliest of brain tumors and is one of a group of tumors referred to as gliomas. GBMs make up approximately 15 % of all primary brain tumors [1]. Classified as a Grade IV (most serious) astrocytoma, GBMs develop from the astrocytes that support nerve cells, primarily in the cerebral hemispheres, but can develop in other parts of the brain, brainstem, or spinal cord. Each year, more than 3000 Americans are diagnosed with GBMs. The cure rate for GBMs is grim, with current therapy prolonging survival but not offering a cure. Standard treatment for GBM is surgery, followed by combined radiation therapy and chemotherapy. GBM’s capacity to invade and infiltrate normal surrounding brain tissue makes complete resection virtually impossible. After surgery, combined chemo-radiation is used to kill residual tumor cells and to delay recurrence. Temozolomide was approved by the Food and Drug Administration (FDA) in 2005 for treatment of adult GBM; subsequently, the FDA approved Avastin (Bevacizumab) for treating GBM. Nevertheless, with standard of care therapy, the median survival of children and adults with GBM is 15 months, and the 5-year survival rate is approximately 10 % [2]. This tumor ultimately takes the life of nearly every affected patient. It has been recently reported that VA patients with GBM showed a decreased median survival (6.5 months) relative to a national cohort of adults (9.0 months); furthermore, 1, 2, and 5 years survival rates in Veterans were 26.8, 5.4, and 0.5 %, respectively, versus 37.8, 12.8, and 4.1 %, respectively, in a comparable national cohort of adults. These GBM survival data highlight a potential disparity and a much worse clinical outcome among affected Veterans [3]; therefore, it is important to explore additional therapeutic options for treating GBM, especially in Veterans. The capacity of T cells to recognize allogeneic major histocompatibility complex (MHC) molecules as intact structures on the surface of foreign cells is called direct T cell allorecognition and is responsible for the powerful immune reactions associated with transplant rejection, a phenomenon called “alloagression” [4]. To a large extent this is due to the ability of allogeneic stimulation to mobilize up to 10 % of all T lymphocytes, compared with a precursor T-cell frequency of between 10−4 and 10−5 for most common antigens. At the same time, each of the lymphocytes activated through direct allorecognition will also recognize specific antigenic peptides presented in the context of a self-MHC molecule (MHC restriction). Cross-reactivity between alloantigens and self MHC-restricted antigens can be harnessed to target tumor-associated antigens [4]. Experimental results from studies with inbred mice and their syngeneic tumors have indicated that the inoculation of semi-allogeneic cell hybrids (derived from the fusion between syngeneic tumor cells and an allogeneic cell line) protects the animal host from a subsequent lethal inoculation with unmodified syngeneic tumor cells [5, 6]. Semi-allogeneic somatic cell hybrids were generated by fusing EL-4 T-lymphoma cells (H-2b) and BALB/c-derived renal adenocarcinoma RAG cells (H-2d); these hybrids were injected intra-peritoneally (i.p.) in C57BL/6 mice (H-2b). Vaccination with irradiated allogeneic cells alone or syngeneic tumor cells alone did not provide significant protection against a tumorigenic challenge with EL-4 cells [5]. The results of these studies also showed that the enhanced immunity was not due simply to an allogeneic effect. In fact, co-administration (injection) into experimental mice of allogeneic cells together with irradiated autologous tumor cells (i.e., without fusion) did not protect them from a subsequent inoculation with autologous tumor cells, supporting the conclusion that, in order to achieve maximum anti-tumor protection, the tumor-associated antigen and the alloantigen needed to be on the same cell [5]. Irradiated semi-allogeneic tumor cell hybrids conferred protection against a subsequent tumorigenic inoculation of EL-4 cells; in contrast, control mice that were mock-vaccinated with i.p.-injected phosphate-buffered saline (PBS) were killed by EL-4-derived lymphomas, which grew rapidly to a large size in the peritoneal cavity [6]. Focused microarray analyses performed on RNA purified from splenocytes of vaccinated (protected) mice revealed that expression of interferon (INF)-γ was upregulated while programmed cell death protein 1 (PD-1) expression was down-regulated compared to splenocyte RNA from control mice, suggesting that semi-allogeneic vaccines are able to activate cytotoxic T cells and interfere with, or even block, the tumor-mediated induction of immune tolerance, a key mechanism underlying the suppression of anti-tumor immunity in the immune competent host [6]. In an attempt to extend this immunotherapy approach to brain tumors, we tested semi-allogeneic vaccines in a mouse model of GBM. The mouse glioma 261 (GL261) was originally established by intracranial injection of 3-methylcholantrene into C57BL/6 mice (H-2b haplotype), and serially passaged intracranially or subcutaneously as tissue tumor pieces in syngeneic mice [7]. Subsequently, GL261-derived cell cultures were established to perform biological and immunological studies with the objective of investigating new treatment modalities for GBM [8]. This research team also reported that subcutaneous (s.c.) vaccination with irradiated GL261 cells was partially effective in a preventing the engraftment of GL261-derived brain tumors, but totally ineffective in a therapeutic setting, i.e., when administered on the day of intracranial tumor inoculation or 3 days thereafter [8]. Conclusions: The results of these animal studies persuaded the Office of Orphan Products Development of the Food and Drug Administration to grant Orphan Drug Designation to the corresponding author for treatment of GBM with irradiated, semi-allogeneic vaccines. Furthermore, these results are consistent with the recognition that immunotherapy has emerged as an important adjuvant in the therapeutic armamentarium of clinicians against GBM [15], and support the goal of translating our immunotherapy approach into clinical studies, with a special focus on Veterans with GBM, because of their significantly shorter survival compared to non-VA patients with the same diagnosis [3].
Background: Glioblastoma (GBM) is the deadliest of brain tumors. Standard treatment for GBM is surgery, followed by combined radiation therapy and chemotherapy. Current therapy prolongs survival but does not offer a cure. We report on a novel immunotherapy against GBM, tested in an animal model of C57BL/6 mice injected intra-cranially with a lethal dose of murine GL261 glioma cells. Methods: Ten week-old C57BL/6 mice were anesthetized before injection of 2 × 10(4) GL261 cells in the right cerebral hemisphere and after 3 days half of the mice were administered a single subcutaneous (s.c.) injection of irradiated semi-allogeneic vaccine, while mock-vaccinated mice received a s.c. injection of phosphate-buffered saline (PBS). Tumor engraftment was monitored through bioluminescence imaging (BLI). Length of animal survival was measured by Kaplan-Meier graphs and statistics. At time of sacrifice brain tissue was processed for estimation of tumor size and immunohistochemical studies. Results: Overall survival of vaccinated mice was significantly longer compared to mock-vaccinated mice. Five to ten percent of vaccinated mice survived more than 90 days following the engraftment of GL261 cells in the brain and appeared to be free of disease by BLI. Tumor volume in the brain of vaccinated mice was on average five to ten-fold smaller compared to mock-vaccinated mice. In vaccinated mice, conspicuous microglia infiltrates were observed in tumor tissue sections and activated microglia appeared to form a fence along the perimeter of the tumor cells. The results of these animal studies persuaded the Office of Orphan Products Development of the Food and Drug Administration (FDA) to grant Orphan Drug Designation for treatment of GBM with irradiated, semi-allogeneic vaccines. Conclusions: Our preclinical observations suggest that semi-allogeneic vaccines could be tested clinically on subjects with GBM, as an adjuvant to standard treatment.
9,184
354
[ 1065, 536, 65, 344, 173, 284 ]
10
[ "cells", "mice", "tumor", "vaccinated", "gl261", "cell", "mouse", "brain", "gl261 cells", "vaccinated mice" ]
[ "surround glioblastoma", "derived glioma", "glioma cells right", "gbm mouse glioma", "glioblastoma multiforme gbm" ]
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[CONTENT] Glioblastoma | Immunotherapy | Semi-allogeneic | Cancer | Vaccine [SUMMARY]
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[CONTENT] Glioblastoma | Immunotherapy | Semi-allogeneic | Cancer | Vaccine [SUMMARY]
[CONTENT] Glioblastoma | Immunotherapy | Semi-allogeneic | Cancer | Vaccine [SUMMARY]
[CONTENT] Glioblastoma | Immunotherapy | Semi-allogeneic | Cancer | Vaccine [SUMMARY]
[CONTENT] Glioblastoma | Immunotherapy | Semi-allogeneic | Cancer | Vaccine [SUMMARY]
[CONTENT] Animals | Brain | Brain Neoplasms | Cancer Vaccines | Cell Line, Tumor | Cell Membrane | Glioma | Kaplan-Meier Estimate | Luminescent Measurements | Male | Mice, Inbred C57BL | Peroxidase | Staining and Labeling | Vaccination [SUMMARY]
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[CONTENT] Animals | Brain | Brain Neoplasms | Cancer Vaccines | Cell Line, Tumor | Cell Membrane | Glioma | Kaplan-Meier Estimate | Luminescent Measurements | Male | Mice, Inbred C57BL | Peroxidase | Staining and Labeling | Vaccination [SUMMARY]
[CONTENT] Animals | Brain | Brain Neoplasms | Cancer Vaccines | Cell Line, Tumor | Cell Membrane | Glioma | Kaplan-Meier Estimate | Luminescent Measurements | Male | Mice, Inbred C57BL | Peroxidase | Staining and Labeling | Vaccination [SUMMARY]
[CONTENT] Animals | Brain | Brain Neoplasms | Cancer Vaccines | Cell Line, Tumor | Cell Membrane | Glioma | Kaplan-Meier Estimate | Luminescent Measurements | Male | Mice, Inbred C57BL | Peroxidase | Staining and Labeling | Vaccination [SUMMARY]
[CONTENT] Animals | Brain | Brain Neoplasms | Cancer Vaccines | Cell Line, Tumor | Cell Membrane | Glioma | Kaplan-Meier Estimate | Luminescent Measurements | Male | Mice, Inbred C57BL | Peroxidase | Staining and Labeling | Vaccination [SUMMARY]
[CONTENT] surround glioblastoma | derived glioma | glioma cells right | gbm mouse glioma | glioblastoma multiforme gbm [SUMMARY]
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[CONTENT] surround glioblastoma | derived glioma | glioma cells right | gbm mouse glioma | glioblastoma multiforme gbm [SUMMARY]
[CONTENT] surround glioblastoma | derived glioma | glioma cells right | gbm mouse glioma | glioblastoma multiforme gbm [SUMMARY]
[CONTENT] surround glioblastoma | derived glioma | glioma cells right | gbm mouse glioma | glioblastoma multiforme gbm [SUMMARY]
[CONTENT] surround glioblastoma | derived glioma | glioma cells right | gbm mouse glioma | glioblastoma multiforme gbm [SUMMARY]
[CONTENT] cells | mice | tumor | vaccinated | gl261 | cell | mouse | brain | gl261 cells | vaccinated mice [SUMMARY]
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[CONTENT] cells | mice | tumor | vaccinated | gl261 | cell | mouse | brain | gl261 cells | vaccinated mice [SUMMARY]
[CONTENT] cells | mice | tumor | vaccinated | gl261 | cell | mouse | brain | gl261 cells | vaccinated mice [SUMMARY]
[CONTENT] cells | mice | tumor | vaccinated | gl261 | cell | mouse | brain | gl261 cells | vaccinated mice [SUMMARY]
[CONTENT] cells | mice | tumor | vaccinated | gl261 | cell | mouse | brain | gl261 cells | vaccinated mice [SUMMARY]
[CONTENT] cells | gbm | tumor | allogeneic | cell | tumors | syngeneic | tumor cells | el | brain tumors [SUMMARY]
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[CONTENT] vaccinated | mice | cells | vaccinated mice | tumor | fig | mock vaccinated | mouse | microglia | vaccinated mouse [SUMMARY]
[CONTENT] gbm | orphan | immunotherapy | results | drug | animal studies | 15 support goal | 15 support goal translating | furthermore results | furthermore results consistent [SUMMARY]
[CONTENT] cells | mice | vaccinated | tumor | cell | cat | gl261 | gbm | vaccinated mice | rag [SUMMARY]
[CONTENT] cells | mice | vaccinated | tumor | cell | cat | gl261 | gbm | vaccinated mice | rag [SUMMARY]
[CONTENT] GBM ||| Standard | GBM ||| ||| GBM | GL261 [SUMMARY]
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[CONTENT] ||| Five to ten percent | more than 90 days | GL261 | BLI ||| five to ten-fold ||| ||| the Office of Orphan Products Development | the Food and Drug Administration | FDA | Orphan Drug Designation | GBM [SUMMARY]
[CONTENT] GBM [SUMMARY]
[CONTENT] GBM ||| Standard | GBM ||| ||| GBM | GL261 ||| Ten week-old | 2 | GL261 | 3 days half | s.c. | PBS ||| ||| Kaplan-Meier ||| ||| ||| ||| Five to ten percent | more than 90 days | GL261 | BLI ||| five to ten-fold ||| ||| the Office of Orphan Products Development | the Food and Drug Administration | FDA | Orphan Drug Designation | GBM ||| GBM [SUMMARY]
[CONTENT] GBM ||| Standard | GBM ||| ||| GBM | GL261 ||| Ten week-old | 2 | GL261 | 3 days half | s.c. | PBS ||| ||| Kaplan-Meier ||| ||| ||| ||| Five to ten percent | more than 90 days | GL261 | BLI ||| five to ten-fold ||| ||| the Office of Orphan Products Development | the Food and Drug Administration | FDA | Orphan Drug Designation | GBM ||| GBM [SUMMARY]
Obstructive sleep apnoea and 12-month weight loss in adults with class 3 obesity attending a multidisciplinary weight management program.
34774056
Although there is a strong association between obesity and obstructive sleep apnoea (OSA), the effects of OSA and CPAP therapy on weight loss are less well known. The aim of this study in adults with class 3 obesity attending a multidisciplinary weight management program was to assess the relationship between OSA and CPAP usage, and 12-month weight change.
BACKGROUND
A retrospective cohort study of all patients commencing an intensive multidisciplinary publicly funded weight management program in Sydney, Australia, between March 2018 and March 2019. OSA was diagnosed using laboratory overnight sleep studies. Demographic and clinical data, and use of CPAP therapy was collected at baseline and 12 months. CPAP use was confirmed if used ≥4 h on average per night on download.
METHODS
Of the 178 patients who joined the program, 111 (62.4 %) completed 12 months in the program. At baseline, 63.1 % (n=70) of patients had OSA, of whom 54.3 % (n=38) were using CPAP. The non-OSA group had more females compared to the OSA with CPAP group and OSA without CPAP group (90.2 % vs. 57.9 % and 62.5 %, respectively; p=0.003), but there were no significant baseline differences in BMI (50.4±9.3 vs. 52.1±8.7 and 50.3±9.5 kg/m2, respectively; p=0.636). There was significant weight loss across all three groups at 12 months. However, there were no statistically significant differences across groups in the percentage of body weight loss (OSA with CPAP: 6.3±5.6 %, OSA without CPAP: 6.8±6.9 %, non-OSA: 7.2±6.5 %; p=0.844), or the proportion of patients who achieved ≥5 % body weight loss (OSA with CPAP: 57.9 %, OSA without CPAP: 59.4 %, non-OSA: 65.9 %; p=0.743). In patients with T2DM, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference between groups (p=0.997).
RESULTS
This multidisciplinary weight management program resulted in significant weight loss at 12 months, regardless of OSA diagnosis or CPAP use in adults with class 3 obesity. Larger studies are needed to further investigate the effects of severity of OSA status and CPAP use in weight management programs. Until completed, this study suggests that the focus should remain on implementing lifestyle changes and weight management regardless of OSA status.
CONCLUSIONS
[ "Adult", "Aged", "Case-Control Studies", "Cholesterol", "Continuous Positive Airway Pressure", "Diabetes Mellitus, Type 2", "Female", "Humans", "Hypoglycemic Agents", "Lipoproteins, HDL", "Lipoproteins, LDL", "Male", "Middle Aged", "Obesity, Morbid", "Sleep Apnea, Obstructive", "Triglycerides", "Weight Loss", "Weight Reduction Programs" ]
8590787
Background
Obesity is a complex medical condition which is impacted by a variety of factors such as genetics, environment, culture and individual lifestyle [1]. Class 3 obesity refers to individuals with a body mass index (BMI) greater than 40 kg/m2 and is linked to increased mortality as well as risk of a range of health concerns including hypertension, type 2 diabetes (T2DM), coronary artery disease, and obstructive sleep apnoea (OSA) [1, 2]. The relationship between class 3 obesity and these conditions is often reciprocal with evidence suggesting an interplay between obesity, T2DM and OSA, which results in an increase in incidence and severity of all three [3–5]. OSA is a condition characterized by recurrent loss of tone of the upper airway resulting in hypopnoea (partial obstruction) and apnoea (complete obstruction) causing hypoxia and subsequent waking from sleep [6]. It is a significant contributor to motor vehicle accidents when not treated [7], and has been shown to exacerbate long-term diabetes complications such as cardiovascular disease (CVD), neuropathy, retinopathy and nephropathy [8–11]. While polysomnography is the “gold standard” for OSA diagnosis, it is often not widely used due to its costs and reduced availability. In virtue of this, questionnaires are valuable for the screening of the disease. These include the Epworth Sleepiness Scale (ESS), the Berlin Questionnaire (BQ) as well as the STOP-Bang Questionnaire and the STOP Questionnaire [12, 13]. First line treatment for moderate to severe OSA is continuous positive airway pressure (CPAP) [14]. Unfortunately, compliance with CPAP at one year is estimated to be as low as 50 % due to discomfort experienced by patients, challenging treatment titration processes, cost of CPAP and other psychological factors [4, 15–17]. Obesity can affect the pathogenesis of OSA in multiple ways, including upper airway fat deposition and muscle impairment, pressure from abdominal fat, leptin resistance and increased inflammatory state [18]. Significant weight loss can also reduce symptoms of OSA [14, 19, 20], but long term weight loss which is sufficient enough to reduce the severity of OSA in individuals with class 3 obesity is difficult to achieve and maintain, particularly without bariatric surgery [21–23]. On the other hand, the role of OSA on weight gain and the development of obesity is more controversial. Several factors could affect the pathogenesis of obesity in people with OSA, including daytime sleepiness and associated reduced physical activity as well as sleep deprivation affecting hunger and satiety hormones, and altering brain activity in the reward centre [18, 24, 25]. This controversy is not helped by the fact that a meta-analysis of 25 randomised trials suggested an increase in weight over time for people with OSA using CPAP therapy [26]. One explanation for this is the reduction in sympathetic activation and leptin levels following CPAP treatment which could lead to weight gain [27, 28]. However, the trials included in the meta-analysis were not from weight management programs, nor in people with class 3 obesity. It is important to understand the impact of OSA and CPAP on weight outcomes within the context of a weight management program. Therefore, the aims of this study in people with class 3 obesity were: To compare weight loss over 12 months between patients with and without OSA.Among patients with OSA, to compare weight loss over 12 months between those who used CPAP for ≥4 h/night and those who did not.To determine whether the baseline Epworth Sleepiness Scale score is associated with weight loss at 12 months. To compare weight loss over 12 months between patients with and without OSA. Among patients with OSA, to compare weight loss over 12 months between those who used CPAP for ≥4 h/night and those who did not. To determine whether the baseline Epworth Sleepiness Scale score is associated with weight loss at 12 months.
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Results
A total of 178 patients joined the South Western Sydney Metabolic Rehabilitation and Bariatric Program between March 2018 and March 2019. Of those, 111 (62.4 %) attended follow-up at 12 months and had data available as shown in Fig. 1. Fig. 1Participant. SWS MRBP = South Western Sydney Metabolic Rehabilitation and Bariatric Program Participant. SWS MRBP = South Western Sydney Metabolic Rehabilitation and Bariatric Program Baseline characteristics The baseline data of patients were categorised into three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups (Table 1). OSA had been diagnosed at baseline in 63.1 % (n=70) of patients, of whom 54.3 % (n=38) were using CPAP. The non-OSA group had more females compared to OSA with CPAP and OSA without CPAP groups (90.2 % vs. 57.9 % and 62.5 %, respectively; p=0.003). There were no significant baseline differences in age (50.6 ± 14.7 vs. 57.0 ± 12.4 and 53.5 ± 10.9 years, respectively; p=0.100), weight (134.9 ± 29.2 vs. 148.1 ± 31.3 and 140.4 ± 26.6 kg, respectively; p=0.137), or BMI (50.4 ± 9.3 vs. 52.1 ± 8.7 and 50.3 ± 9.5 kg/m2, respectively; p=0.636) across all groups. The OSA without CPAP group had a higher proportion of participants with gastro-oesophageal reflux disease (GORD) compared to OSA with CPAP and non-OSA groups (62.5 % vs. 34.2 % and 43.9 %, p=0.039). However, there were no significant differences between the three groups in the proportion of patients who had hypertension, type 2 diabetes, dyslipidaemia, cardiovascular disease, or non-alcoholic fatty liver disease, with no differences in the baseline lipid profile and baseline ALT as depicted in Table 1. Table 1Baseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=70)Non-OSA (n=41)p value*OSA with CPAP (n=38)OSA without CPAP (n=32)Age (years)57.0 ± 12.453.5 ± 10.950.6 ± 14.70.100Female22 (57.9 %)20 (62.5 %)37 (90.2 %)0.003Caucasian24 (63.2 %)23 (71.9 %)33 (80.5 %)0.230Not in paid employment27 (71.1 %)17 (53.1 %)20 (48.8 %)0.112Weight (kg)148.1 ± 31.3140.4 ± 26.6134.9 ± 29.20.137BMI (kg/m2)52.1 ± 8.750.3 ± 9.550.4 ± 9.30.636Hypertension28 (73.7 %)23 (71.9 %)24 (58.5 %)0.294T2DM26 (68.4 %)20 (62.5 %)23 (56.1 %)0.528Dyslipidaemia28 (73.7 %)25 (78.1 %)25 (61.0 %)0.240Cardiovascular disease9 (23.7 %)6 (18.8 %)5 (12.2 %)0.441Non-Alcoholic Fatty liver disease (NAFLD)5 (13.2 %)7 (21.9 %)6 (14.6 %)0.579Gastro-oesophageal Reflux Disease (GORD)13 (34.2 %)20 (62.5 %)18 (43.9 %)0.039Total Cholesterol (mmol/L)4.5 ± 1.14.4 ± 0.94.4 ± 1.20.880Triglycerides (mmol/L)1.9 ± 1.51.8 ± 0.81.8 ± 0.80.845LDL Cholesterol (mmol/L)2.5 ± 1.02.5 ± 0.72.4 ± 1.20.925HDL Cholesterol (mmol/L)1.1 ± 0.31.1 ± 0.31.2 ± 0.30.642ALT (IU/L)33.4 ± 23.527.8 ± 13.430.2 ± 14.50.447Epworth Sleepiness Scale score7.7 ± 5.38.5 ± 4.85.8 ± 5.10.078Berlin Score2.5 ± 0.72.4 ± 0.72.3 ± 0.70.532*p-values reflects the difference across three groups. Baseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSA *p-values reflects the difference across three groups. At baseline, 34 patients (89.5 %) in the OSA with CPAP group, 28 patients (87.5 %) in the OSA without CPAP group, and 32 patients (78.0 %) in the non-OSA group completed the Berlin questionnaire. The majority of patients had a high-risk Berlin score in all three groups, with no significant differences between the three groups (p=0.532). All participants completed the ESS questionnaire at baseline, with no statistically significant differences in the baseline ESS score when compared across all three groups. The baseline data of patients were categorised into three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups (Table 1). OSA had been diagnosed at baseline in 63.1 % (n=70) of patients, of whom 54.3 % (n=38) were using CPAP. The non-OSA group had more females compared to OSA with CPAP and OSA without CPAP groups (90.2 % vs. 57.9 % and 62.5 %, respectively; p=0.003). There were no significant baseline differences in age (50.6 ± 14.7 vs. 57.0 ± 12.4 and 53.5 ± 10.9 years, respectively; p=0.100), weight (134.9 ± 29.2 vs. 148.1 ± 31.3 and 140.4 ± 26.6 kg, respectively; p=0.137), or BMI (50.4 ± 9.3 vs. 52.1 ± 8.7 and 50.3 ± 9.5 kg/m2, respectively; p=0.636) across all groups. The OSA without CPAP group had a higher proportion of participants with gastro-oesophageal reflux disease (GORD) compared to OSA with CPAP and non-OSA groups (62.5 % vs. 34.2 % and 43.9 %, p=0.039). However, there were no significant differences between the three groups in the proportion of patients who had hypertension, type 2 diabetes, dyslipidaemia, cardiovascular disease, or non-alcoholic fatty liver disease, with no differences in the baseline lipid profile and baseline ALT as depicted in Table 1. Table 1Baseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=70)Non-OSA (n=41)p value*OSA with CPAP (n=38)OSA without CPAP (n=32)Age (years)57.0 ± 12.453.5 ± 10.950.6 ± 14.70.100Female22 (57.9 %)20 (62.5 %)37 (90.2 %)0.003Caucasian24 (63.2 %)23 (71.9 %)33 (80.5 %)0.230Not in paid employment27 (71.1 %)17 (53.1 %)20 (48.8 %)0.112Weight (kg)148.1 ± 31.3140.4 ± 26.6134.9 ± 29.20.137BMI (kg/m2)52.1 ± 8.750.3 ± 9.550.4 ± 9.30.636Hypertension28 (73.7 %)23 (71.9 %)24 (58.5 %)0.294T2DM26 (68.4 %)20 (62.5 %)23 (56.1 %)0.528Dyslipidaemia28 (73.7 %)25 (78.1 %)25 (61.0 %)0.240Cardiovascular disease9 (23.7 %)6 (18.8 %)5 (12.2 %)0.441Non-Alcoholic Fatty liver disease (NAFLD)5 (13.2 %)7 (21.9 %)6 (14.6 %)0.579Gastro-oesophageal Reflux Disease (GORD)13 (34.2 %)20 (62.5 %)18 (43.9 %)0.039Total Cholesterol (mmol/L)4.5 ± 1.14.4 ± 0.94.4 ± 1.20.880Triglycerides (mmol/L)1.9 ± 1.51.8 ± 0.81.8 ± 0.80.845LDL Cholesterol (mmol/L)2.5 ± 1.02.5 ± 0.72.4 ± 1.20.925HDL Cholesterol (mmol/L)1.1 ± 0.31.1 ± 0.31.2 ± 0.30.642ALT (IU/L)33.4 ± 23.527.8 ± 13.430.2 ± 14.50.447Epworth Sleepiness Scale score7.7 ± 5.38.5 ± 4.85.8 ± 5.10.078Berlin Score2.5 ± 0.72.4 ± 0.72.3 ± 0.70.532*p-values reflects the difference across three groups. Baseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSA *p-values reflects the difference across three groups. At baseline, 34 patients (89.5 %) in the OSA with CPAP group, 28 patients (87.5 %) in the OSA without CPAP group, and 32 patients (78.0 %) in the non-OSA group completed the Berlin questionnaire. The majority of patients had a high-risk Berlin score in all three groups, with no significant differences between the three groups (p=0.532). All participants completed the ESS questionnaire at baseline, with no statistically significant differences in the baseline ESS score when compared across all three groups. Baseline vs. 12 months Changes in Weight and ESS score Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774). Fig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) There was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398). Table 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399 Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774). Fig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) There was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398). Table 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399 Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA Changes in lipid profile There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658). Fig. 3Changes in lipid profiles from baseline to 12 months across three groups Changes in lipid profiles from baseline to 12 months across three groups There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658). Fig. 3Changes in lipid profiles from baseline to 12 months across three groups Changes in lipid profiles from baseline to 12 months across three groups Patients with diabetes There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366). At 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997). There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366). At 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997). Changes in Weight and ESS score Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774). Fig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) There was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398). Table 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399 Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774). Fig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) There was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398). Table 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399 Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA Changes in lipid profile There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658). Fig. 3Changes in lipid profiles from baseline to 12 months across three groups Changes in lipid profiles from baseline to 12 months across three groups There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658). Fig. 3Changes in lipid profiles from baseline to 12 months across three groups Changes in lipid profiles from baseline to 12 months across three groups Patients with diabetes There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366). At 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997). There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366). At 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997).
Conclusions
This single centre retrospective cohort study demonstrated that the presence of OSA at baseline or the use of CPAP does not affect weight or glycaemic outcomes at 12 months in people with class 3 obesity in the context of a medical weight management program. Findings from this study suggest that the focus should remain on implementing lifestyle changes and medical weight management in people with class 3 obesity, regardless of OSA status.
[ "Background", "Methods", "Measurements", "Data analysis", "Baseline characteristics", "Baseline vs. 12 months", "Changes in Weight and ESS score", "Changes in lipid profile", "Patients with diabetes" ]
[ "Obesity is a complex medical condition which is impacted by a variety of factors such as genetics, environment, culture and individual lifestyle [1]. Class 3 obesity refers to individuals with a body mass index (BMI) greater than 40 kg/m2 and is linked to increased mortality as well as risk of a range of health concerns including hypertension, type 2 diabetes (T2DM), coronary artery disease, and obstructive sleep apnoea (OSA) [1, 2]. The relationship between class 3 obesity and these conditions is often reciprocal with evidence suggesting an interplay between obesity, T2DM and OSA, which results in an increase in incidence and severity of all three [3–5].\nOSA is a condition characterized by recurrent loss of tone of the upper airway resulting in hypopnoea (partial obstruction) and apnoea (complete obstruction) causing hypoxia and subsequent waking from sleep [6]. It is a significant contributor to motor vehicle accidents when not treated [7], and has been shown to exacerbate long-term diabetes complications such as cardiovascular disease (CVD), neuropathy, retinopathy and nephropathy [8–11]. While polysomnography is the “gold standard” for OSA diagnosis, it is often not widely used due to its costs and reduced availability. In virtue of this, questionnaires are valuable for the screening of the disease. These include the Epworth Sleepiness Scale (ESS), the Berlin Questionnaire (BQ) as well as the STOP-Bang Questionnaire and the STOP Questionnaire [12, 13]. First line treatment for moderate to severe OSA is continuous positive airway pressure (CPAP) [14]. Unfortunately, compliance with CPAP at one year is estimated to be as low as 50 % due to discomfort experienced by patients, challenging treatment titration processes, cost of CPAP and other psychological factors [4, 15–17].\nObesity can affect the pathogenesis of OSA in multiple ways, including upper airway fat deposition and muscle impairment, pressure from abdominal fat, leptin resistance and increased inflammatory state [18]. Significant weight loss can also reduce symptoms of OSA [14, 19, 20], but long term weight loss which is sufficient enough to reduce the severity of OSA in individuals with class 3 obesity is difficult to achieve and maintain, particularly without bariatric surgery [21–23]. On the other hand, the role of OSA on weight gain and the development of obesity is more controversial. Several factors could affect the pathogenesis of obesity in people with OSA, including daytime sleepiness and associated reduced physical activity as well as sleep deprivation affecting hunger and satiety hormones, and altering brain activity in the reward centre [18, 24, 25]. This controversy is not helped by the fact that a meta-analysis of 25 randomised trials suggested an increase in weight over time for people with OSA using CPAP therapy [26]. One explanation for this is the reduction in sympathetic activation and leptin levels following CPAP treatment which could lead to weight gain [27, 28]. However, the trials included in the meta-analysis were not from weight management programs, nor in people with class 3 obesity. It is important to understand the impact of OSA and CPAP on weight outcomes within the context of a weight management program. Therefore, the aims of this study in people with class 3 obesity were:\n\nTo compare weight loss over 12 months between patients with and without OSA.Among patients with OSA, to compare weight loss over 12 months between those who used CPAP for ≥4 h/night and those who did not.To determine whether the baseline Epworth Sleepiness Scale score is associated with weight loss at 12 months.\nTo compare weight loss over 12 months between patients with and without OSA.\nAmong patients with OSA, to compare weight loss over 12 months between those who used CPAP for ≥4 h/night and those who did not.\nTo determine whether the baseline Epworth Sleepiness Scale score is associated with weight loss at 12 months.", "This was a retrospective cohort study conducted in a publicly funded, hospital based, intensive, multidisciplinary weight management program in greater Sydney, which has been previously described [29, 30]. Patients included in the study had been enrolled in the program between March 2018 and March 2019, were over 18 years of age, had a BMI ≥40 kg/m2, and had at least 12 months follow up in the program. Patients attended two education sessions prior to their first medical appointment with a physician. The multidisciplinary team is comprised of endocrinologists, gastroenterologist, diabetes specialist nurse (educator), dietitians, clinical psychologists, physiotherapists, and a psychiatrist, with patients being reviewed by a local sleep physician for OSA screening and CPAP therapy use/compliance. Patients are provided individualised care every 4-12 weeks depending on clinical need and availability. The study was approved by the South West Sydney Local Health District (SWSLHD) Human Research Ethics Committee as a Quality Assurance Project (Reference: CT22_2018).\nMeasurements Electronic and paper records were reviewed to obtain demography, anthropometry and medical details including medications, blood results and sleep data. At each visit, weight was recorded on the same scale. Weight loss at 12 months was measured as both kilograms lost and as the percentage change from baseline weight. Every patient completed the Epworth Sleepiness Scale (ESS) [13] and Berlin Questionnaire at baseline, and the ESS at the 12 month visit, regardless of previous diagnosis of OSA or use of CPAP. The ESS is a self-administered questionnaire which measures a person’s general level of daytime sleepiness during commonly encountered situations. OSA was confirmed with diagnostic laboratory sleep studies before or soon after program commencement. CPAP compliance was considered if treated with an average of ≥4 h/night on download. Any data collected between 11 and 13 months was considered for the 12-month time frame due to variations in follow up appointments. Data was de-identified before analysis.\nElectronic and paper records were reviewed to obtain demography, anthropometry and medical details including medications, blood results and sleep data. At each visit, weight was recorded on the same scale. Weight loss at 12 months was measured as both kilograms lost and as the percentage change from baseline weight. Every patient completed the Epworth Sleepiness Scale (ESS) [13] and Berlin Questionnaire at baseline, and the ESS at the 12 month visit, regardless of previous diagnosis of OSA or use of CPAP. The ESS is a self-administered questionnaire which measures a person’s general level of daytime sleepiness during commonly encountered situations. OSA was confirmed with diagnostic laboratory sleep studies before or soon after program commencement. CPAP compliance was considered if treated with an average of ≥4 h/night on download. Any data collected between 11 and 13 months was considered for the 12-month time frame due to variations in follow up appointments. Data was de-identified before analysis.\nData analysis Differences in baseline between three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups, were evaluated for patients completing 12-month follow up. Kolmogorov–Smirnov test and Shapiro–Wilk test were performed to test normality of the data. Analysis of variance (ANOVA) was conducted for continuous variables with normal distribution, Kruskal–Wallis test for continuous data without normal distribution, and Pearson’s chi-square test for categorical variables. Analysis of covariance (ANCOVA) was conducted to evaluate the changes across the three groups and adjust for the covariates. Paired sample t-tests and Wilcoxon signed rank test were used to test for differences between baseline and 12 months within each group. Weight loss at 12 months was reported as percentage body weight loss. Relationships between continuous variables were determined through the Pearson’s correlation coefficient. P<0.05 was considered statistically significant. All statistical analyses were performed with the Statistical Package for Social Sciences (SPSS) Version 25.\nDifferences in baseline between three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups, were evaluated for patients completing 12-month follow up. Kolmogorov–Smirnov test and Shapiro–Wilk test were performed to test normality of the data. Analysis of variance (ANOVA) was conducted for continuous variables with normal distribution, Kruskal–Wallis test for continuous data without normal distribution, and Pearson’s chi-square test for categorical variables. Analysis of covariance (ANCOVA) was conducted to evaluate the changes across the three groups and adjust for the covariates. Paired sample t-tests and Wilcoxon signed rank test were used to test for differences between baseline and 12 months within each group. Weight loss at 12 months was reported as percentage body weight loss. Relationships between continuous variables were determined through the Pearson’s correlation coefficient. P<0.05 was considered statistically significant. All statistical analyses were performed with the Statistical Package for Social Sciences (SPSS) Version 25.", "Electronic and paper records were reviewed to obtain demography, anthropometry and medical details including medications, blood results and sleep data. At each visit, weight was recorded on the same scale. Weight loss at 12 months was measured as both kilograms lost and as the percentage change from baseline weight. Every patient completed the Epworth Sleepiness Scale (ESS) [13] and Berlin Questionnaire at baseline, and the ESS at the 12 month visit, regardless of previous diagnosis of OSA or use of CPAP. The ESS is a self-administered questionnaire which measures a person’s general level of daytime sleepiness during commonly encountered situations. OSA was confirmed with diagnostic laboratory sleep studies before or soon after program commencement. CPAP compliance was considered if treated with an average of ≥4 h/night on download. Any data collected between 11 and 13 months was considered for the 12-month time frame due to variations in follow up appointments. Data was de-identified before analysis.", "Differences in baseline between three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups, were evaluated for patients completing 12-month follow up. Kolmogorov–Smirnov test and Shapiro–Wilk test were performed to test normality of the data. Analysis of variance (ANOVA) was conducted for continuous variables with normal distribution, Kruskal–Wallis test for continuous data without normal distribution, and Pearson’s chi-square test for categorical variables. Analysis of covariance (ANCOVA) was conducted to evaluate the changes across the three groups and adjust for the covariates. Paired sample t-tests and Wilcoxon signed rank test were used to test for differences between baseline and 12 months within each group. Weight loss at 12 months was reported as percentage body weight loss. Relationships between continuous variables were determined through the Pearson’s correlation coefficient. P<0.05 was considered statistically significant. All statistical analyses were performed with the Statistical Package for Social Sciences (SPSS) Version 25.", "The baseline data of patients were categorised into three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups (Table 1). OSA had been diagnosed at baseline in 63.1 % (n=70) of patients, of whom 54.3 % (n=38) were using CPAP. The non-OSA group had more females compared to OSA with CPAP and OSA without CPAP groups (90.2 % vs. 57.9 % and 62.5 %, respectively; p=0.003). There were no significant baseline differences in age (50.6 ± 14.7 vs. 57.0 ± 12.4 and 53.5 ± 10.9 years, respectively; p=0.100), weight (134.9 ± 29.2 vs. 148.1 ± 31.3 and 140.4 ± 26.6 kg, respectively; p=0.137), or BMI (50.4 ± 9.3 vs. 52.1 ± 8.7 and 50.3 ± 9.5 kg/m2, respectively; p=0.636) across all groups. The OSA without CPAP group had a higher proportion of participants with gastro-oesophageal reflux disease (GORD) compared to OSA with CPAP and non-OSA groups (62.5 % vs. 34.2 % and 43.9 %, p=0.039). However, there were no significant differences between the three groups in the proportion of patients who had hypertension, type 2 diabetes, dyslipidaemia, cardiovascular disease, or non-alcoholic fatty liver disease, with no differences in the baseline lipid profile and baseline ALT as depicted in Table 1.\nTable 1Baseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=70)Non-OSA (n=41)p value*OSA with CPAP (n=38)OSA without CPAP (n=32)Age (years)57.0 ± 12.453.5 ± 10.950.6 ± 14.70.100Female22 (57.9 %)20 (62.5 %)37 (90.2 %)0.003Caucasian24 (63.2 %)23 (71.9 %)33 (80.5 %)0.230Not in paid employment27 (71.1 %)17 (53.1 %)20 (48.8 %)0.112Weight (kg)148.1 ± 31.3140.4 ± 26.6134.9 ± 29.20.137BMI (kg/m2)52.1 ± 8.750.3 ± 9.550.4 ± 9.30.636Hypertension28 (73.7 %)23 (71.9 %)24 (58.5 %)0.294T2DM26 (68.4 %)20 (62.5 %)23 (56.1 %)0.528Dyslipidaemia28 (73.7 %)25 (78.1 %)25 (61.0 %)0.240Cardiovascular disease9 (23.7 %)6 (18.8 %)5 (12.2 %)0.441Non-Alcoholic Fatty liver disease (NAFLD)5 (13.2 %)7 (21.9 %)6 (14.6 %)0.579Gastro-oesophageal Reflux Disease (GORD)13 (34.2 %)20 (62.5 %)18 (43.9 %)0.039Total Cholesterol (mmol/L)4.5 ± 1.14.4 ± 0.94.4 ± 1.20.880Triglycerides (mmol/L)1.9 ± 1.51.8 ± 0.81.8 ± 0.80.845LDL Cholesterol (mmol/L)2.5 ± 1.02.5 ± 0.72.4 ± 1.20.925HDL Cholesterol (mmol/L)1.1 ± 0.31.1 ± 0.31.2 ± 0.30.642ALT (IU/L)33.4 ± 23.527.8 ± 13.430.2 ± 14.50.447Epworth Sleepiness Scale score7.7 ± 5.38.5 ± 4.85.8 ± 5.10.078Berlin Score2.5 ± 0.72.4 ± 0.72.3 ± 0.70.532*p-values reflects the difference across three groups.\nBaseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSA\n*p-values reflects the difference across three groups.\nAt baseline, 34 patients (89.5 %) in the OSA with CPAP group, 28 patients (87.5 %) in the OSA without CPAP group, and 32 patients (78.0 %) in the non-OSA group completed the Berlin questionnaire. The majority of patients had a high-risk Berlin score in all three groups, with no significant differences between the three groups (p=0.532). All participants completed the ESS questionnaire at baseline, with no statistically significant differences in the baseline ESS score when compared across all three groups.", "Changes in Weight and ESS score Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774).\nFig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nWeight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nThere was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398).\nTable 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399\nChanges in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA\nSignificant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774).\nFig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nWeight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nThere was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398).\nTable 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399\nChanges in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA\nChanges in lipid profile There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658).\nFig. 3Changes in lipid profiles from baseline to 12 months across three groups\nChanges in lipid profiles from baseline to 12 months across three groups\nThere was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658).\nFig. 3Changes in lipid profiles from baseline to 12 months across three groups\nChanges in lipid profiles from baseline to 12 months across three groups\nPatients with diabetes There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366).\nAt 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997).\nThere was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366).\nAt 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997).", "Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774).\nFig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nWeight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nThere was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398).\nTable 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399\nChanges in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA", "There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658).\nFig. 3Changes in lipid profiles from baseline to 12 months across three groups\nChanges in lipid profiles from baseline to 12 months across three groups", "There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366).\nAt 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997)." ]
[ null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Measurements", "Data analysis", "Results", "Baseline characteristics", "Baseline vs. 12 months", "Changes in Weight and ESS score", "Changes in lipid profile", "Patients with diabetes", "Discussion", "Conclusions" ]
[ "Obesity is a complex medical condition which is impacted by a variety of factors such as genetics, environment, culture and individual lifestyle [1]. Class 3 obesity refers to individuals with a body mass index (BMI) greater than 40 kg/m2 and is linked to increased mortality as well as risk of a range of health concerns including hypertension, type 2 diabetes (T2DM), coronary artery disease, and obstructive sleep apnoea (OSA) [1, 2]. The relationship between class 3 obesity and these conditions is often reciprocal with evidence suggesting an interplay between obesity, T2DM and OSA, which results in an increase in incidence and severity of all three [3–5].\nOSA is a condition characterized by recurrent loss of tone of the upper airway resulting in hypopnoea (partial obstruction) and apnoea (complete obstruction) causing hypoxia and subsequent waking from sleep [6]. It is a significant contributor to motor vehicle accidents when not treated [7], and has been shown to exacerbate long-term diabetes complications such as cardiovascular disease (CVD), neuropathy, retinopathy and nephropathy [8–11]. While polysomnography is the “gold standard” for OSA diagnosis, it is often not widely used due to its costs and reduced availability. In virtue of this, questionnaires are valuable for the screening of the disease. These include the Epworth Sleepiness Scale (ESS), the Berlin Questionnaire (BQ) as well as the STOP-Bang Questionnaire and the STOP Questionnaire [12, 13]. First line treatment for moderate to severe OSA is continuous positive airway pressure (CPAP) [14]. Unfortunately, compliance with CPAP at one year is estimated to be as low as 50 % due to discomfort experienced by patients, challenging treatment titration processes, cost of CPAP and other psychological factors [4, 15–17].\nObesity can affect the pathogenesis of OSA in multiple ways, including upper airway fat deposition and muscle impairment, pressure from abdominal fat, leptin resistance and increased inflammatory state [18]. Significant weight loss can also reduce symptoms of OSA [14, 19, 20], but long term weight loss which is sufficient enough to reduce the severity of OSA in individuals with class 3 obesity is difficult to achieve and maintain, particularly without bariatric surgery [21–23]. On the other hand, the role of OSA on weight gain and the development of obesity is more controversial. Several factors could affect the pathogenesis of obesity in people with OSA, including daytime sleepiness and associated reduced physical activity as well as sleep deprivation affecting hunger and satiety hormones, and altering brain activity in the reward centre [18, 24, 25]. This controversy is not helped by the fact that a meta-analysis of 25 randomised trials suggested an increase in weight over time for people with OSA using CPAP therapy [26]. One explanation for this is the reduction in sympathetic activation and leptin levels following CPAP treatment which could lead to weight gain [27, 28]. However, the trials included in the meta-analysis were not from weight management programs, nor in people with class 3 obesity. It is important to understand the impact of OSA and CPAP on weight outcomes within the context of a weight management program. Therefore, the aims of this study in people with class 3 obesity were:\n\nTo compare weight loss over 12 months between patients with and without OSA.Among patients with OSA, to compare weight loss over 12 months between those who used CPAP for ≥4 h/night and those who did not.To determine whether the baseline Epworth Sleepiness Scale score is associated with weight loss at 12 months.\nTo compare weight loss over 12 months between patients with and without OSA.\nAmong patients with OSA, to compare weight loss over 12 months between those who used CPAP for ≥4 h/night and those who did not.\nTo determine whether the baseline Epworth Sleepiness Scale score is associated with weight loss at 12 months.", "This was a retrospective cohort study conducted in a publicly funded, hospital based, intensive, multidisciplinary weight management program in greater Sydney, which has been previously described [29, 30]. Patients included in the study had been enrolled in the program between March 2018 and March 2019, were over 18 years of age, had a BMI ≥40 kg/m2, and had at least 12 months follow up in the program. Patients attended two education sessions prior to their first medical appointment with a physician. The multidisciplinary team is comprised of endocrinologists, gastroenterologist, diabetes specialist nurse (educator), dietitians, clinical psychologists, physiotherapists, and a psychiatrist, with patients being reviewed by a local sleep physician for OSA screening and CPAP therapy use/compliance. Patients are provided individualised care every 4-12 weeks depending on clinical need and availability. The study was approved by the South West Sydney Local Health District (SWSLHD) Human Research Ethics Committee as a Quality Assurance Project (Reference: CT22_2018).\nMeasurements Electronic and paper records were reviewed to obtain demography, anthropometry and medical details including medications, blood results and sleep data. At each visit, weight was recorded on the same scale. Weight loss at 12 months was measured as both kilograms lost and as the percentage change from baseline weight. Every patient completed the Epworth Sleepiness Scale (ESS) [13] and Berlin Questionnaire at baseline, and the ESS at the 12 month visit, regardless of previous diagnosis of OSA or use of CPAP. The ESS is a self-administered questionnaire which measures a person’s general level of daytime sleepiness during commonly encountered situations. OSA was confirmed with diagnostic laboratory sleep studies before or soon after program commencement. CPAP compliance was considered if treated with an average of ≥4 h/night on download. Any data collected between 11 and 13 months was considered for the 12-month time frame due to variations in follow up appointments. Data was de-identified before analysis.\nElectronic and paper records were reviewed to obtain demography, anthropometry and medical details including medications, blood results and sleep data. At each visit, weight was recorded on the same scale. Weight loss at 12 months was measured as both kilograms lost and as the percentage change from baseline weight. Every patient completed the Epworth Sleepiness Scale (ESS) [13] and Berlin Questionnaire at baseline, and the ESS at the 12 month visit, regardless of previous diagnosis of OSA or use of CPAP. The ESS is a self-administered questionnaire which measures a person’s general level of daytime sleepiness during commonly encountered situations. OSA was confirmed with diagnostic laboratory sleep studies before or soon after program commencement. CPAP compliance was considered if treated with an average of ≥4 h/night on download. Any data collected between 11 and 13 months was considered for the 12-month time frame due to variations in follow up appointments. Data was de-identified before analysis.\nData analysis Differences in baseline between three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups, were evaluated for patients completing 12-month follow up. Kolmogorov–Smirnov test and Shapiro–Wilk test were performed to test normality of the data. Analysis of variance (ANOVA) was conducted for continuous variables with normal distribution, Kruskal–Wallis test for continuous data without normal distribution, and Pearson’s chi-square test for categorical variables. Analysis of covariance (ANCOVA) was conducted to evaluate the changes across the three groups and adjust for the covariates. Paired sample t-tests and Wilcoxon signed rank test were used to test for differences between baseline and 12 months within each group. Weight loss at 12 months was reported as percentage body weight loss. Relationships between continuous variables were determined through the Pearson’s correlation coefficient. P<0.05 was considered statistically significant. All statistical analyses were performed with the Statistical Package for Social Sciences (SPSS) Version 25.\nDifferences in baseline between three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups, were evaluated for patients completing 12-month follow up. Kolmogorov–Smirnov test and Shapiro–Wilk test were performed to test normality of the data. Analysis of variance (ANOVA) was conducted for continuous variables with normal distribution, Kruskal–Wallis test for continuous data without normal distribution, and Pearson’s chi-square test for categorical variables. Analysis of covariance (ANCOVA) was conducted to evaluate the changes across the three groups and adjust for the covariates. Paired sample t-tests and Wilcoxon signed rank test were used to test for differences between baseline and 12 months within each group. Weight loss at 12 months was reported as percentage body weight loss. Relationships between continuous variables were determined through the Pearson’s correlation coefficient. P<0.05 was considered statistically significant. All statistical analyses were performed with the Statistical Package for Social Sciences (SPSS) Version 25.", "Electronic and paper records were reviewed to obtain demography, anthropometry and medical details including medications, blood results and sleep data. At each visit, weight was recorded on the same scale. Weight loss at 12 months was measured as both kilograms lost and as the percentage change from baseline weight. Every patient completed the Epworth Sleepiness Scale (ESS) [13] and Berlin Questionnaire at baseline, and the ESS at the 12 month visit, regardless of previous diagnosis of OSA or use of CPAP. The ESS is a self-administered questionnaire which measures a person’s general level of daytime sleepiness during commonly encountered situations. OSA was confirmed with diagnostic laboratory sleep studies before or soon after program commencement. CPAP compliance was considered if treated with an average of ≥4 h/night on download. Any data collected between 11 and 13 months was considered for the 12-month time frame due to variations in follow up appointments. Data was de-identified before analysis.", "Differences in baseline between three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups, were evaluated for patients completing 12-month follow up. Kolmogorov–Smirnov test and Shapiro–Wilk test were performed to test normality of the data. Analysis of variance (ANOVA) was conducted for continuous variables with normal distribution, Kruskal–Wallis test for continuous data without normal distribution, and Pearson’s chi-square test for categorical variables. Analysis of covariance (ANCOVA) was conducted to evaluate the changes across the three groups and adjust for the covariates. Paired sample t-tests and Wilcoxon signed rank test were used to test for differences between baseline and 12 months within each group. Weight loss at 12 months was reported as percentage body weight loss. Relationships between continuous variables were determined through the Pearson’s correlation coefficient. P<0.05 was considered statistically significant. All statistical analyses were performed with the Statistical Package for Social Sciences (SPSS) Version 25.", "A total of 178 patients joined the South Western Sydney Metabolic Rehabilitation and Bariatric Program between March 2018 and March 2019. Of those, 111 (62.4 %) attended follow-up at 12 months and had data available as shown in Fig. 1.\nFig. 1Participant. SWS MRBP = South Western Sydney Metabolic Rehabilitation and Bariatric Program\nParticipant. SWS MRBP = South Western Sydney Metabolic Rehabilitation and Bariatric Program\nBaseline characteristics The baseline data of patients were categorised into three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups (Table 1). OSA had been diagnosed at baseline in 63.1 % (n=70) of patients, of whom 54.3 % (n=38) were using CPAP. The non-OSA group had more females compared to OSA with CPAP and OSA without CPAP groups (90.2 % vs. 57.9 % and 62.5 %, respectively; p=0.003). There were no significant baseline differences in age (50.6 ± 14.7 vs. 57.0 ± 12.4 and 53.5 ± 10.9 years, respectively; p=0.100), weight (134.9 ± 29.2 vs. 148.1 ± 31.3 and 140.4 ± 26.6 kg, respectively; p=0.137), or BMI (50.4 ± 9.3 vs. 52.1 ± 8.7 and 50.3 ± 9.5 kg/m2, respectively; p=0.636) across all groups. The OSA without CPAP group had a higher proportion of participants with gastro-oesophageal reflux disease (GORD) compared to OSA with CPAP and non-OSA groups (62.5 % vs. 34.2 % and 43.9 %, p=0.039). However, there were no significant differences between the three groups in the proportion of patients who had hypertension, type 2 diabetes, dyslipidaemia, cardiovascular disease, or non-alcoholic fatty liver disease, with no differences in the baseline lipid profile and baseline ALT as depicted in Table 1.\nTable 1Baseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=70)Non-OSA (n=41)p value*OSA with CPAP (n=38)OSA without CPAP (n=32)Age (years)57.0 ± 12.453.5 ± 10.950.6 ± 14.70.100Female22 (57.9 %)20 (62.5 %)37 (90.2 %)0.003Caucasian24 (63.2 %)23 (71.9 %)33 (80.5 %)0.230Not in paid employment27 (71.1 %)17 (53.1 %)20 (48.8 %)0.112Weight (kg)148.1 ± 31.3140.4 ± 26.6134.9 ± 29.20.137BMI (kg/m2)52.1 ± 8.750.3 ± 9.550.4 ± 9.30.636Hypertension28 (73.7 %)23 (71.9 %)24 (58.5 %)0.294T2DM26 (68.4 %)20 (62.5 %)23 (56.1 %)0.528Dyslipidaemia28 (73.7 %)25 (78.1 %)25 (61.0 %)0.240Cardiovascular disease9 (23.7 %)6 (18.8 %)5 (12.2 %)0.441Non-Alcoholic Fatty liver disease (NAFLD)5 (13.2 %)7 (21.9 %)6 (14.6 %)0.579Gastro-oesophageal Reflux Disease (GORD)13 (34.2 %)20 (62.5 %)18 (43.9 %)0.039Total Cholesterol (mmol/L)4.5 ± 1.14.4 ± 0.94.4 ± 1.20.880Triglycerides (mmol/L)1.9 ± 1.51.8 ± 0.81.8 ± 0.80.845LDL Cholesterol (mmol/L)2.5 ± 1.02.5 ± 0.72.4 ± 1.20.925HDL Cholesterol (mmol/L)1.1 ± 0.31.1 ± 0.31.2 ± 0.30.642ALT (IU/L)33.4 ± 23.527.8 ± 13.430.2 ± 14.50.447Epworth Sleepiness Scale score7.7 ± 5.38.5 ± 4.85.8 ± 5.10.078Berlin Score2.5 ± 0.72.4 ± 0.72.3 ± 0.70.532*p-values reflects the difference across three groups.\nBaseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSA\n*p-values reflects the difference across three groups.\nAt baseline, 34 patients (89.5 %) in the OSA with CPAP group, 28 patients (87.5 %) in the OSA without CPAP group, and 32 patients (78.0 %) in the non-OSA group completed the Berlin questionnaire. The majority of patients had a high-risk Berlin score in all three groups, with no significant differences between the three groups (p=0.532). All participants completed the ESS questionnaire at baseline, with no statistically significant differences in the baseline ESS score when compared across all three groups.\nThe baseline data of patients were categorised into three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups (Table 1). OSA had been diagnosed at baseline in 63.1 % (n=70) of patients, of whom 54.3 % (n=38) were using CPAP. The non-OSA group had more females compared to OSA with CPAP and OSA without CPAP groups (90.2 % vs. 57.9 % and 62.5 %, respectively; p=0.003). There were no significant baseline differences in age (50.6 ± 14.7 vs. 57.0 ± 12.4 and 53.5 ± 10.9 years, respectively; p=0.100), weight (134.9 ± 29.2 vs. 148.1 ± 31.3 and 140.4 ± 26.6 kg, respectively; p=0.137), or BMI (50.4 ± 9.3 vs. 52.1 ± 8.7 and 50.3 ± 9.5 kg/m2, respectively; p=0.636) across all groups. The OSA without CPAP group had a higher proportion of participants with gastro-oesophageal reflux disease (GORD) compared to OSA with CPAP and non-OSA groups (62.5 % vs. 34.2 % and 43.9 %, p=0.039). However, there were no significant differences between the three groups in the proportion of patients who had hypertension, type 2 diabetes, dyslipidaemia, cardiovascular disease, or non-alcoholic fatty liver disease, with no differences in the baseline lipid profile and baseline ALT as depicted in Table 1.\nTable 1Baseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=70)Non-OSA (n=41)p value*OSA with CPAP (n=38)OSA without CPAP (n=32)Age (years)57.0 ± 12.453.5 ± 10.950.6 ± 14.70.100Female22 (57.9 %)20 (62.5 %)37 (90.2 %)0.003Caucasian24 (63.2 %)23 (71.9 %)33 (80.5 %)0.230Not in paid employment27 (71.1 %)17 (53.1 %)20 (48.8 %)0.112Weight (kg)148.1 ± 31.3140.4 ± 26.6134.9 ± 29.20.137BMI (kg/m2)52.1 ± 8.750.3 ± 9.550.4 ± 9.30.636Hypertension28 (73.7 %)23 (71.9 %)24 (58.5 %)0.294T2DM26 (68.4 %)20 (62.5 %)23 (56.1 %)0.528Dyslipidaemia28 (73.7 %)25 (78.1 %)25 (61.0 %)0.240Cardiovascular disease9 (23.7 %)6 (18.8 %)5 (12.2 %)0.441Non-Alcoholic Fatty liver disease (NAFLD)5 (13.2 %)7 (21.9 %)6 (14.6 %)0.579Gastro-oesophageal Reflux Disease (GORD)13 (34.2 %)20 (62.5 %)18 (43.9 %)0.039Total Cholesterol (mmol/L)4.5 ± 1.14.4 ± 0.94.4 ± 1.20.880Triglycerides (mmol/L)1.9 ± 1.51.8 ± 0.81.8 ± 0.80.845LDL Cholesterol (mmol/L)2.5 ± 1.02.5 ± 0.72.4 ± 1.20.925HDL Cholesterol (mmol/L)1.1 ± 0.31.1 ± 0.31.2 ± 0.30.642ALT (IU/L)33.4 ± 23.527.8 ± 13.430.2 ± 14.50.447Epworth Sleepiness Scale score7.7 ± 5.38.5 ± 4.85.8 ± 5.10.078Berlin Score2.5 ± 0.72.4 ± 0.72.3 ± 0.70.532*p-values reflects the difference across three groups.\nBaseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSA\n*p-values reflects the difference across three groups.\nAt baseline, 34 patients (89.5 %) in the OSA with CPAP group, 28 patients (87.5 %) in the OSA without CPAP group, and 32 patients (78.0 %) in the non-OSA group completed the Berlin questionnaire. The majority of patients had a high-risk Berlin score in all three groups, with no significant differences between the three groups (p=0.532). All participants completed the ESS questionnaire at baseline, with no statistically significant differences in the baseline ESS score when compared across all three groups.\nBaseline vs. 12 months Changes in Weight and ESS score Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774).\nFig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nWeight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nThere was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398).\nTable 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399\nChanges in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA\nSignificant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774).\nFig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nWeight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nThere was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398).\nTable 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399\nChanges in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA\nChanges in lipid profile There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658).\nFig. 3Changes in lipid profiles from baseline to 12 months across three groups\nChanges in lipid profiles from baseline to 12 months across three groups\nThere was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658).\nFig. 3Changes in lipid profiles from baseline to 12 months across three groups\nChanges in lipid profiles from baseline to 12 months across three groups\nPatients with diabetes There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366).\nAt 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997).\nThere was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366).\nAt 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997).\nChanges in Weight and ESS score Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774).\nFig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nWeight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nThere was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398).\nTable 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399\nChanges in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA\nSignificant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774).\nFig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nWeight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nThere was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398).\nTable 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399\nChanges in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA\nChanges in lipid profile There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658).\nFig. 3Changes in lipid profiles from baseline to 12 months across three groups\nChanges in lipid profiles from baseline to 12 months across three groups\nThere was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658).\nFig. 3Changes in lipid profiles from baseline to 12 months across three groups\nChanges in lipid profiles from baseline to 12 months across three groups\nPatients with diabetes There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366).\nAt 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997).\nThere was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366).\nAt 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997).", "The baseline data of patients were categorised into three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups (Table 1). OSA had been diagnosed at baseline in 63.1 % (n=70) of patients, of whom 54.3 % (n=38) were using CPAP. The non-OSA group had more females compared to OSA with CPAP and OSA without CPAP groups (90.2 % vs. 57.9 % and 62.5 %, respectively; p=0.003). There were no significant baseline differences in age (50.6 ± 14.7 vs. 57.0 ± 12.4 and 53.5 ± 10.9 years, respectively; p=0.100), weight (134.9 ± 29.2 vs. 148.1 ± 31.3 and 140.4 ± 26.6 kg, respectively; p=0.137), or BMI (50.4 ± 9.3 vs. 52.1 ± 8.7 and 50.3 ± 9.5 kg/m2, respectively; p=0.636) across all groups. The OSA without CPAP group had a higher proportion of participants with gastro-oesophageal reflux disease (GORD) compared to OSA with CPAP and non-OSA groups (62.5 % vs. 34.2 % and 43.9 %, p=0.039). However, there were no significant differences between the three groups in the proportion of patients who had hypertension, type 2 diabetes, dyslipidaemia, cardiovascular disease, or non-alcoholic fatty liver disease, with no differences in the baseline lipid profile and baseline ALT as depicted in Table 1.\nTable 1Baseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=70)Non-OSA (n=41)p value*OSA with CPAP (n=38)OSA without CPAP (n=32)Age (years)57.0 ± 12.453.5 ± 10.950.6 ± 14.70.100Female22 (57.9 %)20 (62.5 %)37 (90.2 %)0.003Caucasian24 (63.2 %)23 (71.9 %)33 (80.5 %)0.230Not in paid employment27 (71.1 %)17 (53.1 %)20 (48.8 %)0.112Weight (kg)148.1 ± 31.3140.4 ± 26.6134.9 ± 29.20.137BMI (kg/m2)52.1 ± 8.750.3 ± 9.550.4 ± 9.30.636Hypertension28 (73.7 %)23 (71.9 %)24 (58.5 %)0.294T2DM26 (68.4 %)20 (62.5 %)23 (56.1 %)0.528Dyslipidaemia28 (73.7 %)25 (78.1 %)25 (61.0 %)0.240Cardiovascular disease9 (23.7 %)6 (18.8 %)5 (12.2 %)0.441Non-Alcoholic Fatty liver disease (NAFLD)5 (13.2 %)7 (21.9 %)6 (14.6 %)0.579Gastro-oesophageal Reflux Disease (GORD)13 (34.2 %)20 (62.5 %)18 (43.9 %)0.039Total Cholesterol (mmol/L)4.5 ± 1.14.4 ± 0.94.4 ± 1.20.880Triglycerides (mmol/L)1.9 ± 1.51.8 ± 0.81.8 ± 0.80.845LDL Cholesterol (mmol/L)2.5 ± 1.02.5 ± 0.72.4 ± 1.20.925HDL Cholesterol (mmol/L)1.1 ± 0.31.1 ± 0.31.2 ± 0.30.642ALT (IU/L)33.4 ± 23.527.8 ± 13.430.2 ± 14.50.447Epworth Sleepiness Scale score7.7 ± 5.38.5 ± 4.85.8 ± 5.10.078Berlin Score2.5 ± 0.72.4 ± 0.72.3 ± 0.70.532*p-values reflects the difference across three groups.\nBaseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSA\n*p-values reflects the difference across three groups.\nAt baseline, 34 patients (89.5 %) in the OSA with CPAP group, 28 patients (87.5 %) in the OSA without CPAP group, and 32 patients (78.0 %) in the non-OSA group completed the Berlin questionnaire. The majority of patients had a high-risk Berlin score in all three groups, with no significant differences between the three groups (p=0.532). All participants completed the ESS questionnaire at baseline, with no statistically significant differences in the baseline ESS score when compared across all three groups.", "Changes in Weight and ESS score Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774).\nFig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nWeight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nThere was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398).\nTable 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399\nChanges in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA\nSignificant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774).\nFig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nWeight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nThere was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398).\nTable 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399\nChanges in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA\nChanges in lipid profile There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658).\nFig. 3Changes in lipid profiles from baseline to 12 months across three groups\nChanges in lipid profiles from baseline to 12 months across three groups\nThere was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658).\nFig. 3Changes in lipid profiles from baseline to 12 months across three groups\nChanges in lipid profiles from baseline to 12 months across three groups\nPatients with diabetes There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366).\nAt 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997).\nThere was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366).\nAt 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997).", "Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774).\nFig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nWeight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs)\nThere was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398).\nTable 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399\nChanges in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA", "There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658).\nFig. 3Changes in lipid profiles from baseline to 12 months across three groups\nChanges in lipid profiles from baseline to 12 months across three groups", "There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366).\nAt 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997).", "In this single centre cohort study, individuals with class 3 obesity attending a publicly funded weight management program had significant weight loss in both those with and without OSA. There was no significant difference in weight loss between the groups, and the use of CPAP in the OSA group did not affect the 12-month weight outcomes.\nAlthough significant, the percentage weight loss over the 12-month period in this high-risk population was modest (6-7 %), which is akin to previous studies [29–31]. The impact of OSA on obesity is not completely understood. While multiple mechanisms would logically link the sleep deprivation experienced by patients with OSA to weight gain such as reduction in physical activity and eating behaviours favouring high calorie containing foods [32, 33], as well as an activation of the hypothalamic-pituitary-adrenal axis and increased cortisol, the long term evidence of the impact of OSA on weight is sparse [34]. While the increased tiredness and sleepiness often associated with OSA would not favour successful weight loss interventions, patients who use CPAP generally report dramatic improvements in alertness, mood and quality of life, each of which may be essential in attempting to lose weight [35]. However, a systematic review of over 3000 patients from 25 randomised controlled trials suggested an increase in weight over time for people with OSA using CPAP therapy [26], that was greater with increasing baseline weight. Thus, it is perhaps not surprising that in this study, those with OSA treated with CPAP did not appear to have improved weight loss compared to those with untreated OSA. Therefore, weight loss in OSA patients seems to be multifactorial, and cannot at this stage be solely achieved with CPAP therapy. Indeed, multiple factors have been hypothesised for this finding, including the reduction in sympathetic activity leading to reduced lipolysis and energy expenditure, leading to weight gain [26]. Of note, the systematic review did not evaluate the effect of CPAP on weight loss among patients following a weight management program. Furthermore, these studies did not evaluate the weight loss in people with class 3 obesity.\nWhile there may be the preconceived notion that being diagnosed with OSA impacts on the ability for patients to lose weight, our study suggests that weight loss outcomes are similar, regardless of the presence of OSA diagnosis at baseline or the use of CPAP. This has implications for both patients and clinicians alike, in alleviating the concerns of how OSA diagnosis or use of CPAP may impact weight loss. Instead, emphasis can be placed on implementing lifestyle changes that may induce a modest amount of weight loss that can be beneficial to the metabolic risk profile of individuals with class 3 obesity [3, 36].\nThere are, however, undeniable benefits of CPAP therapy in improving OSA severity and thereby sleep quality on overall health. Several studies have shown a high prevalence of T2DM in patients with OSA and vice versa[37, 38], OSA being an independent risk factor for the development of T2DM [39]. We have recently demonstrated that patients with class 3 obesity had a reduction in their HbA1c by 0.47 % over 6 months in this weight management program [30]. In this study, we report no difference at baseline in the proportion of patients who have T2DM, nor in the daily dose of insulin in all three groups. However, the reduction in HbA1c was consistent with our previous study and was similar regardless of CPAP use. This supports the notion that OSA diagnosis or CPAP use may not affect glycaemic control, in the parameters of a medical weight management program in people with class 3 obesity. There are inconsistent findings in the effects of CPAP use for 1-6 months on improvement of glycaemic control [40–43]. Well-controlled experiments with compliant CPAP use for 8 h a night have shown to improve glucose metabolism in one to two weeks [44, 45]. However, the largest study to date which included close to 900 participants followed over 4.3 years showed no significant difference between the CPAP and usual care groups in their serum glucose or HbA1c [46]. Larger studies of longer duration are needed to assess the impact of CPAP on the prevention of T2DM.\nPeople with OSA on CPAP had a significant drop in the total and LDL cholesterol levels at 12 months compared to baseline, whereas there was no significant change in those with OSA not on CPAP, nor in those without OSA. This is interesting, given that there were no differences in use of cholesterol lowering medications overall or in any of the groups from baseline to 12 months. While clear evidence of the benefits of CPAP use on reducing cholesterol levels is lacking, it has been postulated that CPAP may improve patients’ lipid profile by reducing the intermittent hypoxia, as well as through increased physical activity [47]. These findings should be confirmed in larger trials, and possible mechanisms warrant further investigation.\nHypertension is another well-known risk factor for cardiovascular disease and overall mortality. Blood pressure decreases during sleep, which is likely related to decreases in sympathetic output. A lack of this “nocturnal dipping”, which is inevitably the case in patients with OSA, has been associated with a greater risk of cardiovascular mortality [48]. Even a 10mm Hg increase in mean night-time systolic blood pressure has been shown to be associated with a 21 % increase in cardiovascular mortality [49]. Multiple large studies have shown that people who sleep less than five hours per night have a greater risk of hypertension than those sleeping more than 7 h per night [50, 51]. Therefore, it seems logical that improving sleep would reduce the incidence of hypertension in patients with OSA. A retrospective study in patients with T2DM and newly diagnosed OSA, showed that the use of CPAP for 9-12 months lead to a significant reduction in blood pressure [52]. Thus, improving OSA severity and thereby increasing sleep quality has the potential to substantially improve cardiovascular morbidity and mortality. Hence, it is encouraging to see a significant reduction in the Epworth Sleepiness Scale score over a 12-month period in all three groups in our study. In addition to the benefits of reduced sleepiness on driving and day to day functioning, it may be that the benefits of the reduction in sleepiness on weight outcomes are seen later than at the 12-month period.\nAs many patients in this study, and people with class 3 obesity in general, would often meet the criteria for bariatric surgery, it is of utmost importance to optimise pre-operative health, including OSA severity, to minimise peri-operative complications. Indeed, there is a positive association between OSA severity and post-operative risk, including increased risk of shock and cardiac arrest [53]. Therefore, improving OSA status prior to bariatric surgery may prevent peri-operative complications. In virtue of this, clinicians and allied health professionals should focus on emphasising improvements in OSA status, and herewith CPAP compliance, in addition to weight loss per se, in patients with class 3 obesity.\nThe main strength of this study is that it is based in a real-world weight management program, that included all patients from a publicly funded metabolic program within a hospital service. These findings can therefore inform other multidisciplinary medical weight management programs. Limitations are that this is a single centre with a relatively small cohort of patients, and only 12 months follow up. Multicentre studies which include large sample sizes and longer follow up would help corroborate the findings from this study. Furthermore, a larger sample size would have allowed us to assess the severity of OSA, and its impact on weight loss. Finally, reasons for why patients did or did not commence CPAP were not explored in this study. Such analysis may help identify barriers not only to CPAP use, but also to weight loss.", "This single centre retrospective cohort study demonstrated that the presence of OSA at baseline or the use of CPAP does not affect weight or glycaemic outcomes at 12 months in people with class 3 obesity in the context of a medical weight management program. Findings from this study suggest that the focus should remain on implementing lifestyle changes and medical weight management in people with class 3 obesity, regardless of OSA status." ]
[ null, null, null, null, "results", null, null, null, null, null, "discussion", "conclusion" ]
[ "Obstructive sleep apnoea", "Continuous positive airway pressure (CPAP)", "Weight management", "Class 3 obesity" ]
Background: Obesity is a complex medical condition which is impacted by a variety of factors such as genetics, environment, culture and individual lifestyle [1]. Class 3 obesity refers to individuals with a body mass index (BMI) greater than 40 kg/m2 and is linked to increased mortality as well as risk of a range of health concerns including hypertension, type 2 diabetes (T2DM), coronary artery disease, and obstructive sleep apnoea (OSA) [1, 2]. The relationship between class 3 obesity and these conditions is often reciprocal with evidence suggesting an interplay between obesity, T2DM and OSA, which results in an increase in incidence and severity of all three [3–5]. OSA is a condition characterized by recurrent loss of tone of the upper airway resulting in hypopnoea (partial obstruction) and apnoea (complete obstruction) causing hypoxia and subsequent waking from sleep [6]. It is a significant contributor to motor vehicle accidents when not treated [7], and has been shown to exacerbate long-term diabetes complications such as cardiovascular disease (CVD), neuropathy, retinopathy and nephropathy [8–11]. While polysomnography is the “gold standard” for OSA diagnosis, it is often not widely used due to its costs and reduced availability. In virtue of this, questionnaires are valuable for the screening of the disease. These include the Epworth Sleepiness Scale (ESS), the Berlin Questionnaire (BQ) as well as the STOP-Bang Questionnaire and the STOP Questionnaire [12, 13]. First line treatment for moderate to severe OSA is continuous positive airway pressure (CPAP) [14]. Unfortunately, compliance with CPAP at one year is estimated to be as low as 50 % due to discomfort experienced by patients, challenging treatment titration processes, cost of CPAP and other psychological factors [4, 15–17]. Obesity can affect the pathogenesis of OSA in multiple ways, including upper airway fat deposition and muscle impairment, pressure from abdominal fat, leptin resistance and increased inflammatory state [18]. Significant weight loss can also reduce symptoms of OSA [14, 19, 20], but long term weight loss which is sufficient enough to reduce the severity of OSA in individuals with class 3 obesity is difficult to achieve and maintain, particularly without bariatric surgery [21–23]. On the other hand, the role of OSA on weight gain and the development of obesity is more controversial. Several factors could affect the pathogenesis of obesity in people with OSA, including daytime sleepiness and associated reduced physical activity as well as sleep deprivation affecting hunger and satiety hormones, and altering brain activity in the reward centre [18, 24, 25]. This controversy is not helped by the fact that a meta-analysis of 25 randomised trials suggested an increase in weight over time for people with OSA using CPAP therapy [26]. One explanation for this is the reduction in sympathetic activation and leptin levels following CPAP treatment which could lead to weight gain [27, 28]. However, the trials included in the meta-analysis were not from weight management programs, nor in people with class 3 obesity. It is important to understand the impact of OSA and CPAP on weight outcomes within the context of a weight management program. Therefore, the aims of this study in people with class 3 obesity were: To compare weight loss over 12 months between patients with and without OSA.Among patients with OSA, to compare weight loss over 12 months between those who used CPAP for ≥4 h/night and those who did not.To determine whether the baseline Epworth Sleepiness Scale score is associated with weight loss at 12 months. To compare weight loss over 12 months between patients with and without OSA. Among patients with OSA, to compare weight loss over 12 months between those who used CPAP for ≥4 h/night and those who did not. To determine whether the baseline Epworth Sleepiness Scale score is associated with weight loss at 12 months. Methods: This was a retrospective cohort study conducted in a publicly funded, hospital based, intensive, multidisciplinary weight management program in greater Sydney, which has been previously described [29, 30]. Patients included in the study had been enrolled in the program between March 2018 and March 2019, were over 18 years of age, had a BMI ≥40 kg/m2, and had at least 12 months follow up in the program. Patients attended two education sessions prior to their first medical appointment with a physician. The multidisciplinary team is comprised of endocrinologists, gastroenterologist, diabetes specialist nurse (educator), dietitians, clinical psychologists, physiotherapists, and a psychiatrist, with patients being reviewed by a local sleep physician for OSA screening and CPAP therapy use/compliance. Patients are provided individualised care every 4-12 weeks depending on clinical need and availability. The study was approved by the South West Sydney Local Health District (SWSLHD) Human Research Ethics Committee as a Quality Assurance Project (Reference: CT22_2018). Measurements Electronic and paper records were reviewed to obtain demography, anthropometry and medical details including medications, blood results and sleep data. At each visit, weight was recorded on the same scale. Weight loss at 12 months was measured as both kilograms lost and as the percentage change from baseline weight. Every patient completed the Epworth Sleepiness Scale (ESS) [13] and Berlin Questionnaire at baseline, and the ESS at the 12 month visit, regardless of previous diagnosis of OSA or use of CPAP. The ESS is a self-administered questionnaire which measures a person’s general level of daytime sleepiness during commonly encountered situations. OSA was confirmed with diagnostic laboratory sleep studies before or soon after program commencement. CPAP compliance was considered if treated with an average of ≥4 h/night on download. Any data collected between 11 and 13 months was considered for the 12-month time frame due to variations in follow up appointments. Data was de-identified before analysis. Electronic and paper records were reviewed to obtain demography, anthropometry and medical details including medications, blood results and sleep data. At each visit, weight was recorded on the same scale. Weight loss at 12 months was measured as both kilograms lost and as the percentage change from baseline weight. Every patient completed the Epworth Sleepiness Scale (ESS) [13] and Berlin Questionnaire at baseline, and the ESS at the 12 month visit, regardless of previous diagnosis of OSA or use of CPAP. The ESS is a self-administered questionnaire which measures a person’s general level of daytime sleepiness during commonly encountered situations. OSA was confirmed with diagnostic laboratory sleep studies before or soon after program commencement. CPAP compliance was considered if treated with an average of ≥4 h/night on download. Any data collected between 11 and 13 months was considered for the 12-month time frame due to variations in follow up appointments. Data was de-identified before analysis. Data analysis Differences in baseline between three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups, were evaluated for patients completing 12-month follow up. Kolmogorov–Smirnov test and Shapiro–Wilk test were performed to test normality of the data. Analysis of variance (ANOVA) was conducted for continuous variables with normal distribution, Kruskal–Wallis test for continuous data without normal distribution, and Pearson’s chi-square test for categorical variables. Analysis of covariance (ANCOVA) was conducted to evaluate the changes across the three groups and adjust for the covariates. Paired sample t-tests and Wilcoxon signed rank test were used to test for differences between baseline and 12 months within each group. Weight loss at 12 months was reported as percentage body weight loss. Relationships between continuous variables were determined through the Pearson’s correlation coefficient. P<0.05 was considered statistically significant. All statistical analyses were performed with the Statistical Package for Social Sciences (SPSS) Version 25. Differences in baseline between three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups, were evaluated for patients completing 12-month follow up. Kolmogorov–Smirnov test and Shapiro–Wilk test were performed to test normality of the data. Analysis of variance (ANOVA) was conducted for continuous variables with normal distribution, Kruskal–Wallis test for continuous data without normal distribution, and Pearson’s chi-square test for categorical variables. Analysis of covariance (ANCOVA) was conducted to evaluate the changes across the three groups and adjust for the covariates. Paired sample t-tests and Wilcoxon signed rank test were used to test for differences between baseline and 12 months within each group. Weight loss at 12 months was reported as percentage body weight loss. Relationships between continuous variables were determined through the Pearson’s correlation coefficient. P<0.05 was considered statistically significant. All statistical analyses were performed with the Statistical Package for Social Sciences (SPSS) Version 25. Measurements: Electronic and paper records were reviewed to obtain demography, anthropometry and medical details including medications, blood results and sleep data. At each visit, weight was recorded on the same scale. Weight loss at 12 months was measured as both kilograms lost and as the percentage change from baseline weight. Every patient completed the Epworth Sleepiness Scale (ESS) [13] and Berlin Questionnaire at baseline, and the ESS at the 12 month visit, regardless of previous diagnosis of OSA or use of CPAP. The ESS is a self-administered questionnaire which measures a person’s general level of daytime sleepiness during commonly encountered situations. OSA was confirmed with diagnostic laboratory sleep studies before or soon after program commencement. CPAP compliance was considered if treated with an average of ≥4 h/night on download. Any data collected between 11 and 13 months was considered for the 12-month time frame due to variations in follow up appointments. Data was de-identified before analysis. Data analysis: Differences in baseline between three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups, were evaluated for patients completing 12-month follow up. Kolmogorov–Smirnov test and Shapiro–Wilk test were performed to test normality of the data. Analysis of variance (ANOVA) was conducted for continuous variables with normal distribution, Kruskal–Wallis test for continuous data without normal distribution, and Pearson’s chi-square test for categorical variables. Analysis of covariance (ANCOVA) was conducted to evaluate the changes across the three groups and adjust for the covariates. Paired sample t-tests and Wilcoxon signed rank test were used to test for differences between baseline and 12 months within each group. Weight loss at 12 months was reported as percentage body weight loss. Relationships between continuous variables were determined through the Pearson’s correlation coefficient. P<0.05 was considered statistically significant. All statistical analyses were performed with the Statistical Package for Social Sciences (SPSS) Version 25. Results: A total of 178 patients joined the South Western Sydney Metabolic Rehabilitation and Bariatric Program between March 2018 and March 2019. Of those, 111 (62.4 %) attended follow-up at 12 months and had data available as shown in Fig. 1. Fig. 1Participant. SWS MRBP = South Western Sydney Metabolic Rehabilitation and Bariatric Program Participant. SWS MRBP = South Western Sydney Metabolic Rehabilitation and Bariatric Program Baseline characteristics The baseline data of patients were categorised into three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups (Table 1). OSA had been diagnosed at baseline in 63.1 % (n=70) of patients, of whom 54.3 % (n=38) were using CPAP. The non-OSA group had more females compared to OSA with CPAP and OSA without CPAP groups (90.2 % vs. 57.9 % and 62.5 %, respectively; p=0.003). There were no significant baseline differences in age (50.6 ± 14.7 vs. 57.0 ± 12.4 and 53.5 ± 10.9 years, respectively; p=0.100), weight (134.9 ± 29.2 vs. 148.1 ± 31.3 and 140.4 ± 26.6 kg, respectively; p=0.137), or BMI (50.4 ± 9.3 vs. 52.1 ± 8.7 and 50.3 ± 9.5 kg/m2, respectively; p=0.636) across all groups. The OSA without CPAP group had a higher proportion of participants with gastro-oesophageal reflux disease (GORD) compared to OSA with CPAP and non-OSA groups (62.5 % vs. 34.2 % and 43.9 %, p=0.039). However, there were no significant differences between the three groups in the proportion of patients who had hypertension, type 2 diabetes, dyslipidaemia, cardiovascular disease, or non-alcoholic fatty liver disease, with no differences in the baseline lipid profile and baseline ALT as depicted in Table 1. Table 1Baseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=70)Non-OSA (n=41)p value*OSA with CPAP (n=38)OSA without CPAP (n=32)Age (years)57.0 ± 12.453.5 ± 10.950.6 ± 14.70.100Female22 (57.9 %)20 (62.5 %)37 (90.2 %)0.003Caucasian24 (63.2 %)23 (71.9 %)33 (80.5 %)0.230Not in paid employment27 (71.1 %)17 (53.1 %)20 (48.8 %)0.112Weight (kg)148.1 ± 31.3140.4 ± 26.6134.9 ± 29.20.137BMI (kg/m2)52.1 ± 8.750.3 ± 9.550.4 ± 9.30.636Hypertension28 (73.7 %)23 (71.9 %)24 (58.5 %)0.294T2DM26 (68.4 %)20 (62.5 %)23 (56.1 %)0.528Dyslipidaemia28 (73.7 %)25 (78.1 %)25 (61.0 %)0.240Cardiovascular disease9 (23.7 %)6 (18.8 %)5 (12.2 %)0.441Non-Alcoholic Fatty liver disease (NAFLD)5 (13.2 %)7 (21.9 %)6 (14.6 %)0.579Gastro-oesophageal Reflux Disease (GORD)13 (34.2 %)20 (62.5 %)18 (43.9 %)0.039Total Cholesterol (mmol/L)4.5 ± 1.14.4 ± 0.94.4 ± 1.20.880Triglycerides (mmol/L)1.9 ± 1.51.8 ± 0.81.8 ± 0.80.845LDL Cholesterol (mmol/L)2.5 ± 1.02.5 ± 0.72.4 ± 1.20.925HDL Cholesterol (mmol/L)1.1 ± 0.31.1 ± 0.31.2 ± 0.30.642ALT (IU/L)33.4 ± 23.527.8 ± 13.430.2 ± 14.50.447Epworth Sleepiness Scale score7.7 ± 5.38.5 ± 4.85.8 ± 5.10.078Berlin Score2.5 ± 0.72.4 ± 0.72.3 ± 0.70.532*p-values reflects the difference across three groups. Baseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSA *p-values reflects the difference across three groups. At baseline, 34 patients (89.5 %) in the OSA with CPAP group, 28 patients (87.5 %) in the OSA without CPAP group, and 32 patients (78.0 %) in the non-OSA group completed the Berlin questionnaire. The majority of patients had a high-risk Berlin score in all three groups, with no significant differences between the three groups (p=0.532). All participants completed the ESS questionnaire at baseline, with no statistically significant differences in the baseline ESS score when compared across all three groups. The baseline data of patients were categorised into three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups (Table 1). OSA had been diagnosed at baseline in 63.1 % (n=70) of patients, of whom 54.3 % (n=38) were using CPAP. The non-OSA group had more females compared to OSA with CPAP and OSA without CPAP groups (90.2 % vs. 57.9 % and 62.5 %, respectively; p=0.003). There were no significant baseline differences in age (50.6 ± 14.7 vs. 57.0 ± 12.4 and 53.5 ± 10.9 years, respectively; p=0.100), weight (134.9 ± 29.2 vs. 148.1 ± 31.3 and 140.4 ± 26.6 kg, respectively; p=0.137), or BMI (50.4 ± 9.3 vs. 52.1 ± 8.7 and 50.3 ± 9.5 kg/m2, respectively; p=0.636) across all groups. The OSA without CPAP group had a higher proportion of participants with gastro-oesophageal reflux disease (GORD) compared to OSA with CPAP and non-OSA groups (62.5 % vs. 34.2 % and 43.9 %, p=0.039). However, there were no significant differences between the three groups in the proportion of patients who had hypertension, type 2 diabetes, dyslipidaemia, cardiovascular disease, or non-alcoholic fatty liver disease, with no differences in the baseline lipid profile and baseline ALT as depicted in Table 1. Table 1Baseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=70)Non-OSA (n=41)p value*OSA with CPAP (n=38)OSA without CPAP (n=32)Age (years)57.0 ± 12.453.5 ± 10.950.6 ± 14.70.100Female22 (57.9 %)20 (62.5 %)37 (90.2 %)0.003Caucasian24 (63.2 %)23 (71.9 %)33 (80.5 %)0.230Not in paid employment27 (71.1 %)17 (53.1 %)20 (48.8 %)0.112Weight (kg)148.1 ± 31.3140.4 ± 26.6134.9 ± 29.20.137BMI (kg/m2)52.1 ± 8.750.3 ± 9.550.4 ± 9.30.636Hypertension28 (73.7 %)23 (71.9 %)24 (58.5 %)0.294T2DM26 (68.4 %)20 (62.5 %)23 (56.1 %)0.528Dyslipidaemia28 (73.7 %)25 (78.1 %)25 (61.0 %)0.240Cardiovascular disease9 (23.7 %)6 (18.8 %)5 (12.2 %)0.441Non-Alcoholic Fatty liver disease (NAFLD)5 (13.2 %)7 (21.9 %)6 (14.6 %)0.579Gastro-oesophageal Reflux Disease (GORD)13 (34.2 %)20 (62.5 %)18 (43.9 %)0.039Total Cholesterol (mmol/L)4.5 ± 1.14.4 ± 0.94.4 ± 1.20.880Triglycerides (mmol/L)1.9 ± 1.51.8 ± 0.81.8 ± 0.80.845LDL Cholesterol (mmol/L)2.5 ± 1.02.5 ± 0.72.4 ± 1.20.925HDL Cholesterol (mmol/L)1.1 ± 0.31.1 ± 0.31.2 ± 0.30.642ALT (IU/L)33.4 ± 23.527.8 ± 13.430.2 ± 14.50.447Epworth Sleepiness Scale score7.7 ± 5.38.5 ± 4.85.8 ± 5.10.078Berlin Score2.5 ± 0.72.4 ± 0.72.3 ± 0.70.532*p-values reflects the difference across three groups. Baseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSA *p-values reflects the difference across three groups. At baseline, 34 patients (89.5 %) in the OSA with CPAP group, 28 patients (87.5 %) in the OSA without CPAP group, and 32 patients (78.0 %) in the non-OSA group completed the Berlin questionnaire. The majority of patients had a high-risk Berlin score in all three groups, with no significant differences between the three groups (p=0.532). All participants completed the ESS questionnaire at baseline, with no statistically significant differences in the baseline ESS score when compared across all three groups. Baseline vs. 12 months Changes in Weight and ESS score Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774). Fig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) There was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398). Table 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399 Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774). Fig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) There was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398). Table 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399 Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA Changes in lipid profile There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658). Fig. 3Changes in lipid profiles from baseline to 12 months across three groups Changes in lipid profiles from baseline to 12 months across three groups There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658). Fig. 3Changes in lipid profiles from baseline to 12 months across three groups Changes in lipid profiles from baseline to 12 months across three groups Patients with diabetes There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366). At 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997). There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366). At 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997). Changes in Weight and ESS score Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774). Fig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) There was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398). Table 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399 Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774). Fig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) There was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398). Table 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399 Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA Changes in lipid profile There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658). Fig. 3Changes in lipid profiles from baseline to 12 months across three groups Changes in lipid profiles from baseline to 12 months across three groups There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658). Fig. 3Changes in lipid profiles from baseline to 12 months across three groups Changes in lipid profiles from baseline to 12 months across three groups Patients with diabetes There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366). At 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997). There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366). At 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997). Baseline characteristics: The baseline data of patients were categorised into three groups on the basis of OSA diagnosis and CPAP use: OSA with CPAP, OSA without CPAP, and non-OSA groups (Table 1). OSA had been diagnosed at baseline in 63.1 % (n=70) of patients, of whom 54.3 % (n=38) were using CPAP. The non-OSA group had more females compared to OSA with CPAP and OSA without CPAP groups (90.2 % vs. 57.9 % and 62.5 %, respectively; p=0.003). There were no significant baseline differences in age (50.6 ± 14.7 vs. 57.0 ± 12.4 and 53.5 ± 10.9 years, respectively; p=0.100), weight (134.9 ± 29.2 vs. 148.1 ± 31.3 and 140.4 ± 26.6 kg, respectively; p=0.137), or BMI (50.4 ± 9.3 vs. 52.1 ± 8.7 and 50.3 ± 9.5 kg/m2, respectively; p=0.636) across all groups. The OSA without CPAP group had a higher proportion of participants with gastro-oesophageal reflux disease (GORD) compared to OSA with CPAP and non-OSA groups (62.5 % vs. 34.2 % and 43.9 %, p=0.039). However, there were no significant differences between the three groups in the proportion of patients who had hypertension, type 2 diabetes, dyslipidaemia, cardiovascular disease, or non-alcoholic fatty liver disease, with no differences in the baseline lipid profile and baseline ALT as depicted in Table 1. Table 1Baseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=70)Non-OSA (n=41)p value*OSA with CPAP (n=38)OSA without CPAP (n=32)Age (years)57.0 ± 12.453.5 ± 10.950.6 ± 14.70.100Female22 (57.9 %)20 (62.5 %)37 (90.2 %)0.003Caucasian24 (63.2 %)23 (71.9 %)33 (80.5 %)0.230Not in paid employment27 (71.1 %)17 (53.1 %)20 (48.8 %)0.112Weight (kg)148.1 ± 31.3140.4 ± 26.6134.9 ± 29.20.137BMI (kg/m2)52.1 ± 8.750.3 ± 9.550.4 ± 9.30.636Hypertension28 (73.7 %)23 (71.9 %)24 (58.5 %)0.294T2DM26 (68.4 %)20 (62.5 %)23 (56.1 %)0.528Dyslipidaemia28 (73.7 %)25 (78.1 %)25 (61.0 %)0.240Cardiovascular disease9 (23.7 %)6 (18.8 %)5 (12.2 %)0.441Non-Alcoholic Fatty liver disease (NAFLD)5 (13.2 %)7 (21.9 %)6 (14.6 %)0.579Gastro-oesophageal Reflux Disease (GORD)13 (34.2 %)20 (62.5 %)18 (43.9 %)0.039Total Cholesterol (mmol/L)4.5 ± 1.14.4 ± 0.94.4 ± 1.20.880Triglycerides (mmol/L)1.9 ± 1.51.8 ± 0.81.8 ± 0.80.845LDL Cholesterol (mmol/L)2.5 ± 1.02.5 ± 0.72.4 ± 1.20.925HDL Cholesterol (mmol/L)1.1 ± 0.31.1 ± 0.31.2 ± 0.30.642ALT (IU/L)33.4 ± 23.527.8 ± 13.430.2 ± 14.50.447Epworth Sleepiness Scale score7.7 ± 5.38.5 ± 4.85.8 ± 5.10.078Berlin Score2.5 ± 0.72.4 ± 0.72.3 ± 0.70.532*p-values reflects the difference across three groups. Baseline characteristics of all participants, and across the three groups: OSA with CPAP, OSA without CPAP, and non-OSA *p-values reflects the difference across three groups. At baseline, 34 patients (89.5 %) in the OSA with CPAP group, 28 patients (87.5 %) in the OSA without CPAP group, and 32 patients (78.0 %) in the non-OSA group completed the Berlin questionnaire. The majority of patients had a high-risk Berlin score in all three groups, with no significant differences between the three groups (p=0.532). All participants completed the ESS questionnaire at baseline, with no statistically significant differences in the baseline ESS score when compared across all three groups. Baseline vs. 12 months: Changes in Weight and ESS score Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774). Fig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) There was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398). Table 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399 Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774). Fig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) There was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398). Table 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399 Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA Changes in lipid profile There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658). Fig. 3Changes in lipid profiles from baseline to 12 months across three groups Changes in lipid profiles from baseline to 12 months across three groups There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658). Fig. 3Changes in lipid profiles from baseline to 12 months across three groups Changes in lipid profiles from baseline to 12 months across three groups Patients with diabetes There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366). At 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997). There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366). At 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997). Changes in Weight and ESS score: Significant weight loss was observed across all three groups at 12 months (Fig. 2). However, there were no statistically significant differences in weight change at 12 months between the three groups (Table 2). Having a diagnosis of OSA did not affect percentage body weight loss at 12 months (p=0.610), nor the proportion of patients who achieved 5 % weight loss (p=0.449), nor who achieved 10 % weight loss (p=0.897). There was also no statistically significant association of CPAP use with weight loss at 12 months (p=0.774). Fig. 2Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) Weight change from baseline to 12 months across the three groups. (Data expressed as mean ± SD in the graphs) There was a significant reduction in the ESS score from baseline to 12 months in all three groups– OSA with CPAP: 7.7 ± 5.3 vs. 4.2 ± 5.6, p<0.001; OSA without CPAP: 8.5 ± 4.8 vs. 6.0 ± 6.2, p<0.034; non-OSA: 5.8 ± 5.1 vs. 2.7 ± 3.1, p<0.001. However, there were no significant differences in change in ESS score at 12 months across the three groups– OSA with CPAP: 3.5 ± 5.9, OSA without CPAP: 2.5 ± 6.3, non-OSA: 3.1 ± 5.1; p=0.753 (Table 2). There was also no significant correlation between percentage weight loss and change in ESS score at 12 months (r=0.08, p=0.398). Table 2Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSAVariableMean±SD or n(%)OSA (n=71)Non-OSA (n=41)Unadjusted p value**P-value adjusted for age and baseline weightWith CPAP (n=38)Without CPAP (n=32)Weight Change at 12 monthsWeight loss (in kg)9.1 ± 7.99.2 ± 9.99.9 ± 9.60.9030.172Percentage of body weight loss6.3 ± 5.66.8 ± 6.97.2 ± 6.50.8440.149More than 5 % body weight loss22 (57.9 %)19 (59.4 %)27(65.9 %)0.7430.361Change in Lipid profileCholesterol (mmol/L)0.8 ± 1.10.1 ± 1.3-0.3 ± 1.60.0100.011Triglyceride (mmol/L)0.3 ± 1.8-0.2 ± 1.4-0.5 ± 2.60.3180.596HDL (mmol/L)0.1 ± 0.40.1 ± 0.50.0 ± 0.40.9120.877LDL (mmol/L)0.8 ± 1.10.4 ± 1.40.0 ± 1.00.1400.280Change in Epworth Sleepiness Scale (ESS) score at 12 monthsESS Score3.5 ± 5.92.5 ± 6.33.1 ± 5.10.7530.399 Changes in weight, lipid profile and Epworth Sleepiness Scale score between baseline and 12 months across the three groups of participants: OSA with CPAP, OSA without CPAP, and non-OSA Changes in lipid profile: There was a significant difference in the decrease in cholesterol at 12 months across the three groups (p=0.010), which remained significant when adjusted for age and baseline weight (Table 2). Furthermore, it was revealed that the reduction in cholesterol at 12 months was statistically significant in the OSA with CPAP group (baseline: 4.6 ± 1.1 mmol/L vs. 12 months: 3.8 ± 0.8 mmol/L, p<0.001), but not in the OSA without CPAP group (baseline: 4.4 ± 0.9 mmol/L vs. 12 months: 4.3 ± 0.9 mmol/L, p=0.342), nor in the non-OSA group (baseline: 4.2 ± 1.0 mmol/L vs. 12 months: 4.5 ± 1.4 mmol/L, p=0.368) as presented in Fig. 3. There was no significant difference across the three groups in the change in triglyceride, HDL and LDL at 12 months as demonstrated in Table 2. However, there was a significant decrease in LDL at 12 months in the OSA with CPAP group (2.4 ± 1.1 mmol/L vs. 1.5 ± 0.9 mmol/L, p=0.018), but not in the OSA without CPAP group (2.6 ± 0.8mmol/L vs. 2.3 ± 1.0mmol/L, p=0.733), nor in the non-OSA group (2.2 ± 1.0mmol/L vs. 2.2 ± 0.5mmol/L, p=0.924) as presented in Fig. 3. There were no significant changes in HDL and triglyceride in all three groups between baseline and 12 months. There was no significant difference in the overall number of patients on cholesterol medication at baseline compared to 12-months (58.5 % vs. 64.0 %, p=0.408), and no significant difference within each group: OSA with CPAP group (65.8 % vs. 71.1 %, p=0.621), the OSA without CPAP group (59.4 % vs. 65.6 %, p=0.605), or in the non-OSA group (51.2 % vs. 56.1 %, p=0.658). Fig. 3Changes in lipid profiles from baseline to 12 months across three groups Changes in lipid profiles from baseline to 12 months across three groups Patients with diabetes: There was no significant difference in the percentage of patients in each group who had a diagnosis of T2DM at baseline (OSA with CPAP: 68.4 %, OSA without CPAP: 62.5 %, non-OSA: 56.1 %; p=0.528). Of the patients with T2DM, 38.4 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 30.4 % in the non-OSA group were on insulin at baseline. There was no significant difference in the proportion across the three groups (p=0.778), with an average daily insulin dose of 173.9 ± 106.9 units for OSA with CPAP, 109.7 ± 56.7 units for OSA without CPAP, and 102.1 ± 54.0 units for the non-OSA group (p=0.366). At 12 months, among patients with T2DM, 42.3 % in the OSA with CPAP group, 30 % in the OSA without CPAP group and 26.1 % in the non-OSA group were on insulin (p=0.448). The average daily insulin dose was 106.9 ± 65.6 U for OSA with CPAP, 56.7 ± 56.3 U for OSA without CPAP, and 54.0 ± 25.9 U for non-OSA group (p=0.370). From baseline to 12 months, there was no significant difference in the proportion of patients on insulin across all three groups. There were statistically significant reductions in insulin dose across two groups (OSA with CPAP: p=0.014; non-OSA: p=0.002), and non-significant reduction in insulin dose in the OSA without CPAP group (p=0.194). In the overall study population, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference in the reduction in HbA1c across three groups (OSA with CPAP: 0.5 ± 1.5 %, OSA without CPAP: 0.5 ± 1.1 %, non-OSA: 0.6 ± 1.6 %, p=0.997). Discussion: In this single centre cohort study, individuals with class 3 obesity attending a publicly funded weight management program had significant weight loss in both those with and without OSA. There was no significant difference in weight loss between the groups, and the use of CPAP in the OSA group did not affect the 12-month weight outcomes. Although significant, the percentage weight loss over the 12-month period in this high-risk population was modest (6-7 %), which is akin to previous studies [29–31]. The impact of OSA on obesity is not completely understood. While multiple mechanisms would logically link the sleep deprivation experienced by patients with OSA to weight gain such as reduction in physical activity and eating behaviours favouring high calorie containing foods [32, 33], as well as an activation of the hypothalamic-pituitary-adrenal axis and increased cortisol, the long term evidence of the impact of OSA on weight is sparse [34]. While the increased tiredness and sleepiness often associated with OSA would not favour successful weight loss interventions, patients who use CPAP generally report dramatic improvements in alertness, mood and quality of life, each of which may be essential in attempting to lose weight [35]. However, a systematic review of over 3000 patients from 25 randomised controlled trials suggested an increase in weight over time for people with OSA using CPAP therapy [26], that was greater with increasing baseline weight. Thus, it is perhaps not surprising that in this study, those with OSA treated with CPAP did not appear to have improved weight loss compared to those with untreated OSA. Therefore, weight loss in OSA patients seems to be multifactorial, and cannot at this stage be solely achieved with CPAP therapy. Indeed, multiple factors have been hypothesised for this finding, including the reduction in sympathetic activity leading to reduced lipolysis and energy expenditure, leading to weight gain [26]. Of note, the systematic review did not evaluate the effect of CPAP on weight loss among patients following a weight management program. Furthermore, these studies did not evaluate the weight loss in people with class 3 obesity. While there may be the preconceived notion that being diagnosed with OSA impacts on the ability for patients to lose weight, our study suggests that weight loss outcomes are similar, regardless of the presence of OSA diagnosis at baseline or the use of CPAP. This has implications for both patients and clinicians alike, in alleviating the concerns of how OSA diagnosis or use of CPAP may impact weight loss. Instead, emphasis can be placed on implementing lifestyle changes that may induce a modest amount of weight loss that can be beneficial to the metabolic risk profile of individuals with class 3 obesity [3, 36]. There are, however, undeniable benefits of CPAP therapy in improving OSA severity and thereby sleep quality on overall health. Several studies have shown a high prevalence of T2DM in patients with OSA and vice versa[37, 38], OSA being an independent risk factor for the development of T2DM [39]. We have recently demonstrated that patients with class 3 obesity had a reduction in their HbA1c by 0.47 % over 6 months in this weight management program [30]. In this study, we report no difference at baseline in the proportion of patients who have T2DM, nor in the daily dose of insulin in all three groups. However, the reduction in HbA1c was consistent with our previous study and was similar regardless of CPAP use. This supports the notion that OSA diagnosis or CPAP use may not affect glycaemic control, in the parameters of a medical weight management program in people with class 3 obesity. There are inconsistent findings in the effects of CPAP use for 1-6 months on improvement of glycaemic control [40–43]. Well-controlled experiments with compliant CPAP use for 8 h a night have shown to improve glucose metabolism in one to two weeks [44, 45]. However, the largest study to date which included close to 900 participants followed over 4.3 years showed no significant difference between the CPAP and usual care groups in their serum glucose or HbA1c [46]. Larger studies of longer duration are needed to assess the impact of CPAP on the prevention of T2DM. People with OSA on CPAP had a significant drop in the total and LDL cholesterol levels at 12 months compared to baseline, whereas there was no significant change in those with OSA not on CPAP, nor in those without OSA. This is interesting, given that there were no differences in use of cholesterol lowering medications overall or in any of the groups from baseline to 12 months. While clear evidence of the benefits of CPAP use on reducing cholesterol levels is lacking, it has been postulated that CPAP may improve patients’ lipid profile by reducing the intermittent hypoxia, as well as through increased physical activity [47]. These findings should be confirmed in larger trials, and possible mechanisms warrant further investigation. Hypertension is another well-known risk factor for cardiovascular disease and overall mortality. Blood pressure decreases during sleep, which is likely related to decreases in sympathetic output. A lack of this “nocturnal dipping”, which is inevitably the case in patients with OSA, has been associated with a greater risk of cardiovascular mortality [48]. Even a 10mm Hg increase in mean night-time systolic blood pressure has been shown to be associated with a 21 % increase in cardiovascular mortality [49]. Multiple large studies have shown that people who sleep less than five hours per night have a greater risk of hypertension than those sleeping more than 7 h per night [50, 51]. Therefore, it seems logical that improving sleep would reduce the incidence of hypertension in patients with OSA. A retrospective study in patients with T2DM and newly diagnosed OSA, showed that the use of CPAP for 9-12 months lead to a significant reduction in blood pressure [52]. Thus, improving OSA severity and thereby increasing sleep quality has the potential to substantially improve cardiovascular morbidity and mortality. Hence, it is encouraging to see a significant reduction in the Epworth Sleepiness Scale score over a 12-month period in all three groups in our study. In addition to the benefits of reduced sleepiness on driving and day to day functioning, it may be that the benefits of the reduction in sleepiness on weight outcomes are seen later than at the 12-month period. As many patients in this study, and people with class 3 obesity in general, would often meet the criteria for bariatric surgery, it is of utmost importance to optimise pre-operative health, including OSA severity, to minimise peri-operative complications. Indeed, there is a positive association between OSA severity and post-operative risk, including increased risk of shock and cardiac arrest [53]. Therefore, improving OSA status prior to bariatric surgery may prevent peri-operative complications. In virtue of this, clinicians and allied health professionals should focus on emphasising improvements in OSA status, and herewith CPAP compliance, in addition to weight loss per se, in patients with class 3 obesity. The main strength of this study is that it is based in a real-world weight management program, that included all patients from a publicly funded metabolic program within a hospital service. These findings can therefore inform other multidisciplinary medical weight management programs. Limitations are that this is a single centre with a relatively small cohort of patients, and only 12 months follow up. Multicentre studies which include large sample sizes and longer follow up would help corroborate the findings from this study. Furthermore, a larger sample size would have allowed us to assess the severity of OSA, and its impact on weight loss. Finally, reasons for why patients did or did not commence CPAP were not explored in this study. Such analysis may help identify barriers not only to CPAP use, but also to weight loss. Conclusions: This single centre retrospective cohort study demonstrated that the presence of OSA at baseline or the use of CPAP does not affect weight or glycaemic outcomes at 12 months in people with class 3 obesity in the context of a medical weight management program. Findings from this study suggest that the focus should remain on implementing lifestyle changes and medical weight management in people with class 3 obesity, regardless of OSA status.
Background: Although there is a strong association between obesity and obstructive sleep apnoea (OSA), the effects of OSA and CPAP therapy on weight loss are less well known. The aim of this study in adults with class 3 obesity attending a multidisciplinary weight management program was to assess the relationship between OSA and CPAP usage, and 12-month weight change. Methods: A retrospective cohort study of all patients commencing an intensive multidisciplinary publicly funded weight management program in Sydney, Australia, between March 2018 and March 2019. OSA was diagnosed using laboratory overnight sleep studies. Demographic and clinical data, and use of CPAP therapy was collected at baseline and 12 months. CPAP use was confirmed if used ≥4 h on average per night on download. Results: Of the 178 patients who joined the program, 111 (62.4 %) completed 12 months in the program. At baseline, 63.1 % (n=70) of patients had OSA, of whom 54.3 % (n=38) were using CPAP. The non-OSA group had more females compared to the OSA with CPAP group and OSA without CPAP group (90.2 % vs. 57.9 % and 62.5 %, respectively; p=0.003), but there were no significant baseline differences in BMI (50.4±9.3 vs. 52.1±8.7 and 50.3±9.5 kg/m2, respectively; p=0.636). There was significant weight loss across all three groups at 12 months. However, there were no statistically significant differences across groups in the percentage of body weight loss (OSA with CPAP: 6.3±5.6 %, OSA without CPAP: 6.8±6.9 %, non-OSA: 7.2±6.5 %; p=0.844), or the proportion of patients who achieved ≥5 % body weight loss (OSA with CPAP: 57.9 %, OSA without CPAP: 59.4 %, non-OSA: 65.9 %; p=0.743). In patients with T2DM, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference between groups (p=0.997). Conclusions: This multidisciplinary weight management program resulted in significant weight loss at 12 months, regardless of OSA diagnosis or CPAP use in adults with class 3 obesity. Larger studies are needed to further investigate the effects of severity of OSA status and CPAP use in weight management programs. Until completed, this study suggests that the focus should remain on implementing lifestyle changes and weight management regardless of OSA status.
Background: Obesity is a complex medical condition which is impacted by a variety of factors such as genetics, environment, culture and individual lifestyle [1]. Class 3 obesity refers to individuals with a body mass index (BMI) greater than 40 kg/m2 and is linked to increased mortality as well as risk of a range of health concerns including hypertension, type 2 diabetes (T2DM), coronary artery disease, and obstructive sleep apnoea (OSA) [1, 2]. The relationship between class 3 obesity and these conditions is often reciprocal with evidence suggesting an interplay between obesity, T2DM and OSA, which results in an increase in incidence and severity of all three [3–5]. OSA is a condition characterized by recurrent loss of tone of the upper airway resulting in hypopnoea (partial obstruction) and apnoea (complete obstruction) causing hypoxia and subsequent waking from sleep [6]. It is a significant contributor to motor vehicle accidents when not treated [7], and has been shown to exacerbate long-term diabetes complications such as cardiovascular disease (CVD), neuropathy, retinopathy and nephropathy [8–11]. While polysomnography is the “gold standard” for OSA diagnosis, it is often not widely used due to its costs and reduced availability. In virtue of this, questionnaires are valuable for the screening of the disease. These include the Epworth Sleepiness Scale (ESS), the Berlin Questionnaire (BQ) as well as the STOP-Bang Questionnaire and the STOP Questionnaire [12, 13]. First line treatment for moderate to severe OSA is continuous positive airway pressure (CPAP) [14]. Unfortunately, compliance with CPAP at one year is estimated to be as low as 50 % due to discomfort experienced by patients, challenging treatment titration processes, cost of CPAP and other psychological factors [4, 15–17]. Obesity can affect the pathogenesis of OSA in multiple ways, including upper airway fat deposition and muscle impairment, pressure from abdominal fat, leptin resistance and increased inflammatory state [18]. Significant weight loss can also reduce symptoms of OSA [14, 19, 20], but long term weight loss which is sufficient enough to reduce the severity of OSA in individuals with class 3 obesity is difficult to achieve and maintain, particularly without bariatric surgery [21–23]. On the other hand, the role of OSA on weight gain and the development of obesity is more controversial. Several factors could affect the pathogenesis of obesity in people with OSA, including daytime sleepiness and associated reduced physical activity as well as sleep deprivation affecting hunger and satiety hormones, and altering brain activity in the reward centre [18, 24, 25]. This controversy is not helped by the fact that a meta-analysis of 25 randomised trials suggested an increase in weight over time for people with OSA using CPAP therapy [26]. One explanation for this is the reduction in sympathetic activation and leptin levels following CPAP treatment which could lead to weight gain [27, 28]. However, the trials included in the meta-analysis were not from weight management programs, nor in people with class 3 obesity. It is important to understand the impact of OSA and CPAP on weight outcomes within the context of a weight management program. Therefore, the aims of this study in people with class 3 obesity were: To compare weight loss over 12 months between patients with and without OSA.Among patients with OSA, to compare weight loss over 12 months between those who used CPAP for ≥4 h/night and those who did not.To determine whether the baseline Epworth Sleepiness Scale score is associated with weight loss at 12 months. To compare weight loss over 12 months between patients with and without OSA. Among patients with OSA, to compare weight loss over 12 months between those who used CPAP for ≥4 h/night and those who did not. To determine whether the baseline Epworth Sleepiness Scale score is associated with weight loss at 12 months. Conclusions: This single centre retrospective cohort study demonstrated that the presence of OSA at baseline or the use of CPAP does not affect weight or glycaemic outcomes at 12 months in people with class 3 obesity in the context of a medical weight management program. Findings from this study suggest that the focus should remain on implementing lifestyle changes and medical weight management in people with class 3 obesity, regardless of OSA status.
Background: Although there is a strong association between obesity and obstructive sleep apnoea (OSA), the effects of OSA and CPAP therapy on weight loss are less well known. The aim of this study in adults with class 3 obesity attending a multidisciplinary weight management program was to assess the relationship between OSA and CPAP usage, and 12-month weight change. Methods: A retrospective cohort study of all patients commencing an intensive multidisciplinary publicly funded weight management program in Sydney, Australia, between March 2018 and March 2019. OSA was diagnosed using laboratory overnight sleep studies. Demographic and clinical data, and use of CPAP therapy was collected at baseline and 12 months. CPAP use was confirmed if used ≥4 h on average per night on download. Results: Of the 178 patients who joined the program, 111 (62.4 %) completed 12 months in the program. At baseline, 63.1 % (n=70) of patients had OSA, of whom 54.3 % (n=38) were using CPAP. The non-OSA group had more females compared to the OSA with CPAP group and OSA without CPAP group (90.2 % vs. 57.9 % and 62.5 %, respectively; p=0.003), but there were no significant baseline differences in BMI (50.4±9.3 vs. 52.1±8.7 and 50.3±9.5 kg/m2, respectively; p=0.636). There was significant weight loss across all three groups at 12 months. However, there were no statistically significant differences across groups in the percentage of body weight loss (OSA with CPAP: 6.3±5.6 %, OSA without CPAP: 6.8±6.9 %, non-OSA: 7.2±6.5 %; p=0.844), or the proportion of patients who achieved ≥5 % body weight loss (OSA with CPAP: 57.9 %, OSA without CPAP: 59.4 %, non-OSA: 65.9 %; p=0.743). In patients with T2DM, there was a significant reduction in HbA1c from baseline to 12 months (7.8±1.7 % to 7.3±1.4 %, p=0.03), with no difference between groups (p=0.997). Conclusions: This multidisciplinary weight management program resulted in significant weight loss at 12 months, regardless of OSA diagnosis or CPAP use in adults with class 3 obesity. Larger studies are needed to further investigate the effects of severity of OSA status and CPAP use in weight management programs. Until completed, this study suggests that the focus should remain on implementing lifestyle changes and weight management regardless of OSA status.
15,142
475
[ 761, 950, 183, 193, 747, 2596, 508, 410, 371 ]
12
[ "osa", "cpap", "osa cpap", "12", "months", "12 months", "baseline", "groups", "weight", "significant" ]
[ "osa severity sleep", "obesity t2dm", "class obesity conditions", "sleepiness associated osa", "obesity people osa" ]
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[CONTENT] Obstructive sleep apnoea | Continuous positive airway pressure (CPAP) | Weight management | Class 3 obesity [SUMMARY]
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[CONTENT] Obstructive sleep apnoea | Continuous positive airway pressure (CPAP) | Weight management | Class 3 obesity [SUMMARY]
[CONTENT] Obstructive sleep apnoea | Continuous positive airway pressure (CPAP) | Weight management | Class 3 obesity [SUMMARY]
[CONTENT] Obstructive sleep apnoea | Continuous positive airway pressure (CPAP) | Weight management | Class 3 obesity [SUMMARY]
[CONTENT] Obstructive sleep apnoea | Continuous positive airway pressure (CPAP) | Weight management | Class 3 obesity [SUMMARY]
[CONTENT] Adult | Aged | Case-Control Studies | Cholesterol | Continuous Positive Airway Pressure | Diabetes Mellitus, Type 2 | Female | Humans | Hypoglycemic Agents | Lipoproteins, HDL | Lipoproteins, LDL | Male | Middle Aged | Obesity, Morbid | Sleep Apnea, Obstructive | Triglycerides | Weight Loss | Weight Reduction Programs [SUMMARY]
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[CONTENT] Adult | Aged | Case-Control Studies | Cholesterol | Continuous Positive Airway Pressure | Diabetes Mellitus, Type 2 | Female | Humans | Hypoglycemic Agents | Lipoproteins, HDL | Lipoproteins, LDL | Male | Middle Aged | Obesity, Morbid | Sleep Apnea, Obstructive | Triglycerides | Weight Loss | Weight Reduction Programs [SUMMARY]
[CONTENT] Adult | Aged | Case-Control Studies | Cholesterol | Continuous Positive Airway Pressure | Diabetes Mellitus, Type 2 | Female | Humans | Hypoglycemic Agents | Lipoproteins, HDL | Lipoproteins, LDL | Male | Middle Aged | Obesity, Morbid | Sleep Apnea, Obstructive | Triglycerides | Weight Loss | Weight Reduction Programs [SUMMARY]
[CONTENT] Adult | Aged | Case-Control Studies | Cholesterol | Continuous Positive Airway Pressure | Diabetes Mellitus, Type 2 | Female | Humans | Hypoglycemic Agents | Lipoproteins, HDL | Lipoproteins, LDL | Male | Middle Aged | Obesity, Morbid | Sleep Apnea, Obstructive | Triglycerides | Weight Loss | Weight Reduction Programs [SUMMARY]
[CONTENT] Adult | Aged | Case-Control Studies | Cholesterol | Continuous Positive Airway Pressure | Diabetes Mellitus, Type 2 | Female | Humans | Hypoglycemic Agents | Lipoproteins, HDL | Lipoproteins, LDL | Male | Middle Aged | Obesity, Morbid | Sleep Apnea, Obstructive | Triglycerides | Weight Loss | Weight Reduction Programs [SUMMARY]
[CONTENT] osa severity sleep | obesity t2dm | class obesity conditions | sleepiness associated osa | obesity people osa [SUMMARY]
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[CONTENT] osa severity sleep | obesity t2dm | class obesity conditions | sleepiness associated osa | obesity people osa [SUMMARY]
[CONTENT] osa severity sleep | obesity t2dm | class obesity conditions | sleepiness associated osa | obesity people osa [SUMMARY]
[CONTENT] osa severity sleep | obesity t2dm | class obesity conditions | sleepiness associated osa | obesity people osa [SUMMARY]
[CONTENT] osa severity sleep | obesity t2dm | class obesity conditions | sleepiness associated osa | obesity people osa [SUMMARY]
[CONTENT] osa | cpap | osa cpap | 12 | months | 12 months | baseline | groups | weight | significant [SUMMARY]
null
[CONTENT] osa | cpap | osa cpap | 12 | months | 12 months | baseline | groups | weight | significant [SUMMARY]
[CONTENT] osa | cpap | osa cpap | 12 | months | 12 months | baseline | groups | weight | significant [SUMMARY]
[CONTENT] osa | cpap | osa cpap | 12 | months | 12 months | baseline | groups | weight | significant [SUMMARY]
[CONTENT] osa | cpap | osa cpap | 12 | months | 12 months | baseline | groups | weight | significant [SUMMARY]
[CONTENT] obesity | osa | weight | loss | compare | compare weight | compare weight loss | compare weight loss 12 | weight loss | class obesity [SUMMARY]
null
[CONTENT] osa | osa cpap | cpap | group | groups | 12 | vs | months | 12 months | non [SUMMARY]
[CONTENT] medical weight | medical weight management | people class obesity | obesity | people | class obesity | class | people class | weight management | management [SUMMARY]
[CONTENT] osa | cpap | osa cpap | 12 | weight | months | 12 months | groups | group | baseline [SUMMARY]
[CONTENT] osa | cpap | osa cpap | 12 | weight | months | 12 months | groups | group | baseline [SUMMARY]
[CONTENT] ||| 3 | OSA | 12-month [SUMMARY]
null
[CONTENT] 178 | 111 | 62.4 % | 12 months ||| 63.1 % | 54.3 % | CPAP ||| CPAP | CPAP | 90.2 % | 57.9 % | 62.5 % | BMI | 50.4±9.3 | 52.1±8.7 | 50.3±9.5 kg/m2 ||| three | 12 months ||| 6.3±5.6 % | 6.8±6.9 % | 7.2±6.5 % | 57.9 % | 59.4 % | 65.9 % ||| 12 months | 7.8±1.7 % | 7.3±1.4 % [SUMMARY]
[CONTENT] 12 months | 3 ||| ||| [SUMMARY]
[CONTENT] ||| ||| 3 | OSA | 12-month ||| Sydney | Australia | between March 2018 and March 2019 ||| ||| 12 months ||| ≥4 ||| 178 | 111 | 62.4 % | 12 months ||| 63.1 % | 54.3 % | CPAP ||| CPAP | CPAP | 90.2 % | 57.9 % | 62.5 % | BMI | 50.4±9.3 | 52.1±8.7 | 50.3±9.5 kg/m2 ||| three | 12 months ||| 6.3±5.6 % | 6.8±6.9 % | 7.2±6.5 % | 57.9 % | 59.4 % | 65.9 % ||| 12 months | 7.8±1.7 % | 7.3±1.4 % ||| 12 months | 3 ||| ||| [SUMMARY]
[CONTENT] ||| ||| 3 | OSA | 12-month ||| Sydney | Australia | between March 2018 and March 2019 ||| ||| 12 months ||| ≥4 ||| 178 | 111 | 62.4 % | 12 months ||| 63.1 % | 54.3 % | CPAP ||| CPAP | CPAP | 90.2 % | 57.9 % | 62.5 % | BMI | 50.4±9.3 | 52.1±8.7 | 50.3±9.5 kg/m2 ||| three | 12 months ||| 6.3±5.6 % | 6.8±6.9 % | 7.2±6.5 % | 57.9 % | 59.4 % | 65.9 % ||| 12 months | 7.8±1.7 % | 7.3±1.4 % ||| 12 months | 3 ||| ||| [SUMMARY]
Prevalence of Postpartum Family Planning Service Coverage in Selected Referral Facilities of Nepal.
32335630
Nepal Society of Obstetricians and Gynecologists jointly with the Nepalese government and with the support from the International Federation of Obstetrics and Gynecology has implemented an initiative to institutionalize postpartum family planning services in selected major referral facilities of Nepal to address the gap of low uptake of postpartum family planning in Nepal. The aim of the study is to find the prevalence of the service coverage of postpartum contraception in the selected facilities.
INTRODUCTION
A descriptive cross-sectional study was conducted in seven major referral facilities across Nepal. Data were collected from the hospital records of all women who delivered in these facilities between October 2018 and March 2019. Ethical approval for this study was obtained from Nepal Health Research Council. Data analysis was done with SPSS version 23.
METHODS
Among the 29,072 deliveries from all the facilities, postpartum family planning counseling coverage was 27,301 (93.9%). The prevalence of uptake of Postpartum Intrauterine Device is 1581 (5.4%) and female sterilization is 1830 (6.3%). In total 11387 mothers (52.2%) had the intention to choose a postpartum family planning method. However, 36% of mothers neither used nor had the intention to choose a postpartum family planning method.
RESULTS
The coverage of Postpartum Intrauterine Device counseling service coverage in Nepal is higher in 2018 as compared to 2016-2017 and in other countries implementing Postpartum Intrauterine Device initiatives. However, the prevalence of service coverage of immediate Postpartum Family Planning methods, mainly Postpartum Intrauterine Device in 2018 is lower in Nepal as compared to 2016-2017, and other countries implementing Postpartum Intrauterine Device initiative. More efforts are needed to encourage mothers delivering in the facilities to use the postpartum family planning method.
CONCLUSIONS
[ "Adult", "Contraception", "Counseling", "Cross-Sectional Studies", "Family Planning Services", "Female", "Health Services Needs and Demand", "Humans", "Intrauterine Devices", "Nepal", "Postpartum Period", "Pregnancy", "Prevalence", "Professional Practice Gaps", "Quality Improvement" ]
7580487
INTRODUCTION
Nepal Society of Obstetricians and Gynecologists (NESOG) jointly with the Nepalese government and with the support from International Federation of Obstetrics and Gynecology (FIGO) had implemented the initiative of institutionalizing immediate postpartum family planning (PPFP) services in selected major referral facilities of Nepal between 2015 and 2019.1–3 The initiative had focused on PPFP services that could be incorporated as a routine part of maternity care in the selected hospitals. The outcome of institutionalization was to improve the coverage of PPFP counseling and uptake of immediate PPFP methods.1–3 The increasing institutional deliveries in Nepal provides a one-stop approach to provide maternity and PPFP service at the same time.4 However, the data on postpartum family planning service coverage from the health facilities in Nepal remains limited. This study aims to assess the service coverage related to postpartum contraception in selected referral health facilities in Nepal that were implementing PPFP programs.
METHODS
We conducted this descriptive cross-sectional study in seven referral facilities implementing the PPFP initiative across Nepal. The data was collected from Koshi Zonal Hospital (KZH), Lumbini Zonal Hospital (LZH), Western Regional Hospital (WRH), Bheri Zonal Hospital (BZH), Bharatpur Hospital (BH), Bhaktapur Hospital (BKTH), and Nobel Medical College Teaching Hospital (NMCTH) for a period of 6 months between October 2018 and March 2019. We obtained ethical approval for this study from the Nepal Health Research Council. Permission to conduct the study was also obtained from all the seven health facilities. We collected the anonymized data from all the facility records. The maternity registers had details of deliveries as well on the uptake of immediate PPFP methods which included female sterilization and Postpartum Intrauterine Device (PPIUD). Additionally, as part of the study, a separate register was used by the implementing sites to assess the coverage of counseling on PPFP in each facility. All the registered delivery in each of the 7 hospitals were included in the study. Data with insufficient variables, improperly registered data, and unreadable data were excluded from the study. As a descriptive study using hospital records, the aim of this study was to assess the overall service coverage. As the data of all the deliveries recorded within the study period is included in this study, we did not perform inferential statistical analysis and performed descriptive analysis only for interpretation.5 Nevertheless, the minimum required sample size was calculated to be 28,782, using the formula for a finite population6 based on the annual delivery across all the 7 facilities as follows. n = N*X / (X + N - 1) where, X = Zα/22 *p*(1-p) / MOE2, X = Zα/22 *p*(1-p) / MOE2, and Zα/2 is the critical value of the Normal distribution at α/2 for a confidence level of 95%, α is 0.05 and the critical value is 1.96, MOE is the margin of error at 0.40%, p is the sample proportion at 36% based on the prevalence from previous study4 and N is the population size of 60,000 based on the annual deliveries across the 7 facilities. Considering incomplete data, we increased the sample size to 29,072 records of all deliveries between October 2018 and March 2019. The data is presented in numbers and percentages. Data analysis was done using SPSS version 23.
RESULTS
The counseling coverage was 27,301 (93.9%) of all the 29,072 deliveries across all seven sites. NMCTH and BKTH which were the newest implementing facilities had 4,084 (99.6%) and 625 (100%) PPFP counseling coverage (Table 1). Among all the mothers who gave birth in the selected facilities, 3411 (11.7%) used a PPFP method immediately after childbirth. In total, 1581 mothers chose to use PPIUD from selected seven facilities accounting for 5.4% of all the deliveries. Among the mother who gave birth in each facility, the proportion of uptake of PPIUD was the highest in BKTH 625 (26%) and the lowest in LZH 4945 (2%) deliveries. In total, 1830 mothers from the seven facilities chose to have female sterilization immediately after childbirth accounting for 6.3% of all the deliveries. The proportion of mothers undergoing female sterilization was observed to be the highest in the two facilities in Province One with 706 (17%) in NMCTH and 679 (14%) in KZH. The overall proportion of women using an immediate PPFP method including both PPIUD and female sterilization was highest in BKTH and lowest in BH (Table 2). The other PPFP methods include the options that are provided to women after 6 weeks of childbirth in Nepal. The combined oral contraceptive pills containing estrogen are provided only 6 months after childbirth in Nepal. The details of the methods and the timing of using these different PPFP methods are provided to the mothers during PPFP counseling in the selected facilities. Among mothers who preferred other PPFP methods, the highest proportion was observed for injectables accounting for 4102 (16.4%) of the total deliveries in the seven facilities, followed by 669 (14.4%) women prefer their husbands to have male sterilization. In total, 1887 (7.1%) of mothers giving birth in the seven facilities preferred implants followed 1779 (4.9%) women preferring male condoms, and 1073 women preferring interval IUD (4.1%). The lowest preferences were for oral contraceptive pills by only 897 (2.6%) women and natural methods such as withdrawal methods by 980 (2.4%) women (Table 3).
CONCLUSIONS
This study reflects the findings of a PPFP program in Nepal. The study showed that improving PPFP counseling coverage alone may not necessarily improve the uptake of PPFP methods. Moreover, the intention of mothers to use different PPFP methods highlights the need to find a balance between demand and supply which addresses the unmet need of PPFP. The findings also highlight that PPFP programs in Nepal must assess factors influencing service uptake and be flexible in its approaches in order that the program can be continuously adapted according to lessons learned.
[]
[]
[]
[ "INTRODUCTION", "METHODS", "RESULTS", "DISCUSSION", "CONCLUSIONS" ]
[ "Nepal Society of Obstetricians and Gynecologists (NESOG) jointly with the Nepalese government and with the support from International Federation of Obstetrics and Gynecology (FIGO) had implemented the initiative of institutionalizing immediate postpartum family planning (PPFP) services in selected major referral facilities of Nepal between 2015 and 2019.1–3 The initiative had focused on PPFP services that could be incorporated as a routine part of maternity care in the selected hospitals. The outcome of institutionalization was to improve the coverage of PPFP counseling and uptake of immediate PPFP methods.1–3\nThe increasing institutional deliveries in Nepal provides a one-stop approach to provide maternity and PPFP service at the same time.4 However, the data on postpartum family planning service coverage from the health facilities in Nepal remains limited.\nThis study aims to assess the service coverage related to postpartum contraception in selected referral health facilities in Nepal that were implementing PPFP programs.", "We conducted this descriptive cross-sectional study in seven referral facilities implementing the PPFP initiative across Nepal. The data was collected from Koshi Zonal Hospital (KZH), Lumbini Zonal Hospital (LZH), Western Regional Hospital (WRH), Bheri Zonal Hospital (BZH), Bharatpur Hospital (BH), Bhaktapur Hospital (BKTH), and Nobel Medical College Teaching Hospital (NMCTH) for a period of 6 months between October 2018 and March 2019. We obtained ethical approval for this study from the Nepal Health Research Council. Permission to conduct the study was also obtained from all the seven health facilities. We collected the anonymized data from all the facility records.\nThe maternity registers had details of deliveries as well on the uptake of immediate PPFP methods which included female sterilization and Postpartum Intrauterine Device (PPIUD). Additionally, as part of the study, a separate register was used by the implementing sites to assess the coverage of counseling on PPFP in each facility. All the registered delivery in each of the 7 hospitals were included in the study. Data with insufficient variables, improperly registered data, and unreadable data were excluded from the study.\nAs a descriptive study using hospital records, the aim of this study was to assess the overall service coverage. As the data of all the deliveries recorded within the study period is included in this study, we did not perform inferential statistical analysis and performed descriptive analysis only for interpretation.5\nNevertheless, the minimum required sample size was calculated to be 28,782, using the formula for a finite population6 based on the annual delivery across all the 7 facilities as follows.\nn = N*X / (X + N - 1)\nwhere,\nX = Zα/22 *p*(1-p) / MOE2,\nX = Zα/22 *p*(1-p) / MOE2,\nand Zα/2 is the critical value of the Normal distribution at α/2 for a confidence level of 95%, α is 0.05 and the critical value is 1.96, MOE is the margin of error at 0.40%, p is the sample proportion at 36% based on the prevalence from previous study4 and N is the population size of 60,000 based on the annual deliveries across the 7 facilities.\nConsidering incomplete data, we increased the sample size to 29,072 records of all deliveries between October 2018 and March 2019. The data is presented in numbers and percentages. Data analysis was done using SPSS version 23.", "The counseling coverage was 27,301 (93.9%) of all the 29,072 deliveries across all seven sites. NMCTH and BKTH which were the newest implementing facilities had 4,084 (99.6%) and 625 (100%) PPFP counseling coverage (Table 1).\nAmong all the mothers who gave birth in the selected facilities, 3411 (11.7%) used a PPFP method immediately after childbirth. In total, 1581 mothers chose to use PPIUD from selected seven facilities accounting for 5.4% of all the deliveries. Among the mother who gave birth in each facility, the proportion of uptake of PPIUD was the highest in BKTH 625 (26%) and the lowest in LZH 4945 (2%) deliveries. In total, 1830 mothers from the seven facilities chose to have female sterilization immediately after childbirth accounting for 6.3% of all the deliveries. The proportion of mothers undergoing female sterilization was observed to be the highest in the two facilities in Province One with 706 (17%) in NMCTH and 679 (14%) in KZH. The overall proportion of women using an immediate PPFP method including both PPIUD and female sterilization was highest in BKTH and lowest in BH (Table 2).\nThe other PPFP methods include the options that are provided to women after 6 weeks of childbirth in Nepal. The combined oral contraceptive pills containing estrogen are provided only 6 months after childbirth in Nepal. The details of the methods and the timing of using these different PPFP methods are provided to the mothers during PPFP counseling in the selected facilities. Among mothers who preferred other PPFP methods, the highest proportion was observed for injectables accounting for 4102 (16.4%) of the total deliveries in the seven facilities, followed by 669 (14.4%) women prefer their husbands to have male sterilization. In total, 1887 (7.1%) of mothers giving birth in the seven facilities preferred implants followed 1779 (4.9%) women preferring male condoms, and 1073 women preferring interval IUD (4.1%). The lowest preferences were for oral contraceptive pills by only 897 (2.6%) women and natural methods such as withdrawal methods by 980 (2.4%) women (Table 3).", "This study shows that the institutionalization process of PPFP services has resulted in high coverage of more than 90% PPFP counseling services of the deliveries across all the implementing facilities. However, the uptake of immediate PPFP methods such as PPIUD and female sterilization remained low at 12% of the total deliveries. Over 50% of the mothers intended to use a PPFP method at some point. However, 36% of the mothers neither took up any PPFP method nor had the intention to use any PPFP method later.\nIn this study, though the counseling coverage seemed consistent across all the facilities, there was a variation in the uptake of immediate PPFP methods. Bhaktapur hospital which had started the initiative more recently had the highest service coverage for PPIUD at 24% of all the deliveries.Studies suggest that reduced ratios of patients to health providers improve the quality of care and patient satisfaction.7–9\nThis study showed that over 50% of women giving childbirth across seven facilities intended to use a PPFP method at some point. Injectable was the most commonly intended method which is consistent with the national data in Nepal.10 The second most common intended method among the postpartum mothers was male sterilization of their partners. PPFP programs focus primarily on the methods used by women only and the methods used by their male partners are not given sufficient attention. The implant was the third commonly preferred PPFP method among mothers. The World Health Organization guidelines suggest that implant can be used by the mothers immediately after childbirth.11 Although it has been discussed, the implant has not yet been introduced as an immediate PPFP method in Nepal.\nA majority of the mothers have the intention to choose a PPFP method, however, the services are not readily available in the immediate postpartum period. Methods such as implants, female sterilization after vaginal delivery and male sterilization are approaches that could be provided in the immediate postpartum period to mothers and their male partners. However, these methods are not considered as options for immediate PPFP, limiting method choice and subsequent uptake of contraception. In order to meet the 2020 FP goals,12 the supply must meet the demand, and so we must strive to make these methods an integral part of immediate PPFP services.\nThis study has certain limitations. First, the length of the study is too short due to the time limitation of the initiative. A longer study would have provided an opportunity to carefully follow up the trend in the long run. Second, this study only provides descriptive data on the selected facilities and does not provide inferential statistics. Detailed characteristics of the mothers from the facilities could have enriched the results and interpretation of this study and plan for the future programs at larger scales. However, the qualitative study from previous phases had already reflected the mothers' perception regarding PPFP from other facilities.3", "This study reflects the findings of a PPFP program in Nepal. The study showed that improving PPFP counseling coverage alone may not necessarily improve the uptake of PPFP methods. Moreover, the intention of mothers to use different PPFP methods highlights the need to find a balance between demand and supply which addresses the unmet need of PPFP. The findings also highlight that PPFP programs in Nepal must assess factors influencing service uptake and be flexible in its approaches in order that the program can be continuously adapted according to lessons learned." ]
[ "intro", "methods", "results", "discussion", "conclusions" ]
[ "\nfamily planning services\n", "\nfemale sterilization\n", "\nintrauterine devices\n", "\npostpartum period\n" ]
INTRODUCTION: Nepal Society of Obstetricians and Gynecologists (NESOG) jointly with the Nepalese government and with the support from International Federation of Obstetrics and Gynecology (FIGO) had implemented the initiative of institutionalizing immediate postpartum family planning (PPFP) services in selected major referral facilities of Nepal between 2015 and 2019.1–3 The initiative had focused on PPFP services that could be incorporated as a routine part of maternity care in the selected hospitals. The outcome of institutionalization was to improve the coverage of PPFP counseling and uptake of immediate PPFP methods.1–3 The increasing institutional deliveries in Nepal provides a one-stop approach to provide maternity and PPFP service at the same time.4 However, the data on postpartum family planning service coverage from the health facilities in Nepal remains limited. This study aims to assess the service coverage related to postpartum contraception in selected referral health facilities in Nepal that were implementing PPFP programs. METHODS: We conducted this descriptive cross-sectional study in seven referral facilities implementing the PPFP initiative across Nepal. The data was collected from Koshi Zonal Hospital (KZH), Lumbini Zonal Hospital (LZH), Western Regional Hospital (WRH), Bheri Zonal Hospital (BZH), Bharatpur Hospital (BH), Bhaktapur Hospital (BKTH), and Nobel Medical College Teaching Hospital (NMCTH) for a period of 6 months between October 2018 and March 2019. We obtained ethical approval for this study from the Nepal Health Research Council. Permission to conduct the study was also obtained from all the seven health facilities. We collected the anonymized data from all the facility records. The maternity registers had details of deliveries as well on the uptake of immediate PPFP methods which included female sterilization and Postpartum Intrauterine Device (PPIUD). Additionally, as part of the study, a separate register was used by the implementing sites to assess the coverage of counseling on PPFP in each facility. All the registered delivery in each of the 7 hospitals were included in the study. Data with insufficient variables, improperly registered data, and unreadable data were excluded from the study. As a descriptive study using hospital records, the aim of this study was to assess the overall service coverage. As the data of all the deliveries recorded within the study period is included in this study, we did not perform inferential statistical analysis and performed descriptive analysis only for interpretation.5 Nevertheless, the minimum required sample size was calculated to be 28,782, using the formula for a finite population6 based on the annual delivery across all the 7 facilities as follows. n = N*X / (X + N - 1) where, X = Zα/22 *p*(1-p) / MOE2, X = Zα/22 *p*(1-p) / MOE2, and Zα/2 is the critical value of the Normal distribution at α/2 for a confidence level of 95%, α is 0.05 and the critical value is 1.96, MOE is the margin of error at 0.40%, p is the sample proportion at 36% based on the prevalence from previous study4 and N is the population size of 60,000 based on the annual deliveries across the 7 facilities. Considering incomplete data, we increased the sample size to 29,072 records of all deliveries between October 2018 and March 2019. The data is presented in numbers and percentages. Data analysis was done using SPSS version 23. RESULTS: The counseling coverage was 27,301 (93.9%) of all the 29,072 deliveries across all seven sites. NMCTH and BKTH which were the newest implementing facilities had 4,084 (99.6%) and 625 (100%) PPFP counseling coverage (Table 1). Among all the mothers who gave birth in the selected facilities, 3411 (11.7%) used a PPFP method immediately after childbirth. In total, 1581 mothers chose to use PPIUD from selected seven facilities accounting for 5.4% of all the deliveries. Among the mother who gave birth in each facility, the proportion of uptake of PPIUD was the highest in BKTH 625 (26%) and the lowest in LZH 4945 (2%) deliveries. In total, 1830 mothers from the seven facilities chose to have female sterilization immediately after childbirth accounting for 6.3% of all the deliveries. The proportion of mothers undergoing female sterilization was observed to be the highest in the two facilities in Province One with 706 (17%) in NMCTH and 679 (14%) in KZH. The overall proportion of women using an immediate PPFP method including both PPIUD and female sterilization was highest in BKTH and lowest in BH (Table 2). The other PPFP methods include the options that are provided to women after 6 weeks of childbirth in Nepal. The combined oral contraceptive pills containing estrogen are provided only 6 months after childbirth in Nepal. The details of the methods and the timing of using these different PPFP methods are provided to the mothers during PPFP counseling in the selected facilities. Among mothers who preferred other PPFP methods, the highest proportion was observed for injectables accounting for 4102 (16.4%) of the total deliveries in the seven facilities, followed by 669 (14.4%) women prefer their husbands to have male sterilization. In total, 1887 (7.1%) of mothers giving birth in the seven facilities preferred implants followed 1779 (4.9%) women preferring male condoms, and 1073 women preferring interval IUD (4.1%). The lowest preferences were for oral contraceptive pills by only 897 (2.6%) women and natural methods such as withdrawal methods by 980 (2.4%) women (Table 3). DISCUSSION: This study shows that the institutionalization process of PPFP services has resulted in high coverage of more than 90% PPFP counseling services of the deliveries across all the implementing facilities. However, the uptake of immediate PPFP methods such as PPIUD and female sterilization remained low at 12% of the total deliveries. Over 50% of the mothers intended to use a PPFP method at some point. However, 36% of the mothers neither took up any PPFP method nor had the intention to use any PPFP method later. In this study, though the counseling coverage seemed consistent across all the facilities, there was a variation in the uptake of immediate PPFP methods. Bhaktapur hospital which had started the initiative more recently had the highest service coverage for PPIUD at 24% of all the deliveries.Studies suggest that reduced ratios of patients to health providers improve the quality of care and patient satisfaction.7–9 This study showed that over 50% of women giving childbirth across seven facilities intended to use a PPFP method at some point. Injectable was the most commonly intended method which is consistent with the national data in Nepal.10 The second most common intended method among the postpartum mothers was male sterilization of their partners. PPFP programs focus primarily on the methods used by women only and the methods used by their male partners are not given sufficient attention. The implant was the third commonly preferred PPFP method among mothers. The World Health Organization guidelines suggest that implant can be used by the mothers immediately after childbirth.11 Although it has been discussed, the implant has not yet been introduced as an immediate PPFP method in Nepal. A majority of the mothers have the intention to choose a PPFP method, however, the services are not readily available in the immediate postpartum period. Methods such as implants, female sterilization after vaginal delivery and male sterilization are approaches that could be provided in the immediate postpartum period to mothers and their male partners. However, these methods are not considered as options for immediate PPFP, limiting method choice and subsequent uptake of contraception. In order to meet the 2020 FP goals,12 the supply must meet the demand, and so we must strive to make these methods an integral part of immediate PPFP services. This study has certain limitations. First, the length of the study is too short due to the time limitation of the initiative. A longer study would have provided an opportunity to carefully follow up the trend in the long run. Second, this study only provides descriptive data on the selected facilities and does not provide inferential statistics. Detailed characteristics of the mothers from the facilities could have enriched the results and interpretation of this study and plan for the future programs at larger scales. However, the qualitative study from previous phases had already reflected the mothers' perception regarding PPFP from other facilities.3 CONCLUSIONS: This study reflects the findings of a PPFP program in Nepal. The study showed that improving PPFP counseling coverage alone may not necessarily improve the uptake of PPFP methods. Moreover, the intention of mothers to use different PPFP methods highlights the need to find a balance between demand and supply which addresses the unmet need of PPFP. The findings also highlight that PPFP programs in Nepal must assess factors influencing service uptake and be flexible in its approaches in order that the program can be continuously adapted according to lessons learned.
Background: Nepal Society of Obstetricians and Gynecologists jointly with the Nepalese government and with the support from the International Federation of Obstetrics and Gynecology has implemented an initiative to institutionalize postpartum family planning services in selected major referral facilities of Nepal to address the gap of low uptake of postpartum family planning in Nepal. The aim of the study is to find the prevalence of the service coverage of postpartum contraception in the selected facilities. Methods: A descriptive cross-sectional study was conducted in seven major referral facilities across Nepal. Data were collected from the hospital records of all women who delivered in these facilities between October 2018 and March 2019. Ethical approval for this study was obtained from Nepal Health Research Council. Data analysis was done with SPSS version 23. Results: Among the 29,072 deliveries from all the facilities, postpartum family planning counseling coverage was 27,301 (93.9%). The prevalence of uptake of Postpartum Intrauterine Device is 1581 (5.4%) and female sterilization is 1830 (6.3%). In total 11387 mothers (52.2%) had the intention to choose a postpartum family planning method. However, 36% of mothers neither used nor had the intention to choose a postpartum family planning method. Conclusions: The coverage of Postpartum Intrauterine Device counseling service coverage in Nepal is higher in 2018 as compared to 2016-2017 and in other countries implementing Postpartum Intrauterine Device initiatives. However, the prevalence of service coverage of immediate Postpartum Family Planning methods, mainly Postpartum Intrauterine Device in 2018 is lower in Nepal as compared to 2016-2017, and other countries implementing Postpartum Intrauterine Device initiative. More efforts are needed to encourage mothers delivering in the facilities to use the postpartum family planning method.
INTRODUCTION: Nepal Society of Obstetricians and Gynecologists (NESOG) jointly with the Nepalese government and with the support from International Federation of Obstetrics and Gynecology (FIGO) had implemented the initiative of institutionalizing immediate postpartum family planning (PPFP) services in selected major referral facilities of Nepal between 2015 and 2019.1–3 The initiative had focused on PPFP services that could be incorporated as a routine part of maternity care in the selected hospitals. The outcome of institutionalization was to improve the coverage of PPFP counseling and uptake of immediate PPFP methods.1–3 The increasing institutional deliveries in Nepal provides a one-stop approach to provide maternity and PPFP service at the same time.4 However, the data on postpartum family planning service coverage from the health facilities in Nepal remains limited. This study aims to assess the service coverage related to postpartum contraception in selected referral health facilities in Nepal that were implementing PPFP programs. CONCLUSIONS: This study reflects the findings of a PPFP program in Nepal. The study showed that improving PPFP counseling coverage alone may not necessarily improve the uptake of PPFP methods. Moreover, the intention of mothers to use different PPFP methods highlights the need to find a balance between demand and supply which addresses the unmet need of PPFP. The findings also highlight that PPFP programs in Nepal must assess factors influencing service uptake and be flexible in its approaches in order that the program can be continuously adapted according to lessons learned.
Background: Nepal Society of Obstetricians and Gynecologists jointly with the Nepalese government and with the support from the International Federation of Obstetrics and Gynecology has implemented an initiative to institutionalize postpartum family planning services in selected major referral facilities of Nepal to address the gap of low uptake of postpartum family planning in Nepal. The aim of the study is to find the prevalence of the service coverage of postpartum contraception in the selected facilities. Methods: A descriptive cross-sectional study was conducted in seven major referral facilities across Nepal. Data were collected from the hospital records of all women who delivered in these facilities between October 2018 and March 2019. Ethical approval for this study was obtained from Nepal Health Research Council. Data analysis was done with SPSS version 23. Results: Among the 29,072 deliveries from all the facilities, postpartum family planning counseling coverage was 27,301 (93.9%). The prevalence of uptake of Postpartum Intrauterine Device is 1581 (5.4%) and female sterilization is 1830 (6.3%). In total 11387 mothers (52.2%) had the intention to choose a postpartum family planning method. However, 36% of mothers neither used nor had the intention to choose a postpartum family planning method. Conclusions: The coverage of Postpartum Intrauterine Device counseling service coverage in Nepal is higher in 2018 as compared to 2016-2017 and in other countries implementing Postpartum Intrauterine Device initiatives. However, the prevalence of service coverage of immediate Postpartum Family Planning methods, mainly Postpartum Intrauterine Device in 2018 is lower in Nepal as compared to 2016-2017, and other countries implementing Postpartum Intrauterine Device initiative. More efforts are needed to encourage mothers delivering in the facilities to use the postpartum family planning method.
1,676
325
[]
5
[ "ppfp", "study", "facilities", "methods", "mothers", "nepal", "deliveries", "data", "method", "coverage" ]
[ "ppfp method nepal", "maternity ppfp service", "childbirth nepal combined", "childbirth nepal details", "ppfp programs nepal" ]
[CONTENT] family planning services | female sterilization | intrauterine devices | postpartum period [SUMMARY]
[CONTENT] family planning services | female sterilization | intrauterine devices | postpartum period [SUMMARY]
[CONTENT] family planning services | female sterilization | intrauterine devices | postpartum period [SUMMARY]
[CONTENT] family planning services | female sterilization | intrauterine devices | postpartum period [SUMMARY]
[CONTENT] family planning services | female sterilization | intrauterine devices | postpartum period [SUMMARY]
[CONTENT] family planning services | female sterilization | intrauterine devices | postpartum period [SUMMARY]
[CONTENT] Adult | Contraception | Counseling | Cross-Sectional Studies | Family Planning Services | Female | Health Services Needs and Demand | Humans | Intrauterine Devices | Nepal | Postpartum Period | Pregnancy | Prevalence | Professional Practice Gaps | Quality Improvement [SUMMARY]
[CONTENT] Adult | Contraception | Counseling | Cross-Sectional Studies | Family Planning Services | Female | Health Services Needs and Demand | Humans | Intrauterine Devices | Nepal | Postpartum Period | Pregnancy | Prevalence | Professional Practice Gaps | Quality Improvement [SUMMARY]
[CONTENT] Adult | Contraception | Counseling | Cross-Sectional Studies | Family Planning Services | Female | Health Services Needs and Demand | Humans | Intrauterine Devices | Nepal | Postpartum Period | Pregnancy | Prevalence | Professional Practice Gaps | Quality Improvement [SUMMARY]
[CONTENT] Adult | Contraception | Counseling | Cross-Sectional Studies | Family Planning Services | Female | Health Services Needs and Demand | Humans | Intrauterine Devices | Nepal | Postpartum Period | Pregnancy | Prevalence | Professional Practice Gaps | Quality Improvement [SUMMARY]
[CONTENT] Adult | Contraception | Counseling | Cross-Sectional Studies | Family Planning Services | Female | Health Services Needs and Demand | Humans | Intrauterine Devices | Nepal | Postpartum Period | Pregnancy | Prevalence | Professional Practice Gaps | Quality Improvement [SUMMARY]
[CONTENT] Adult | Contraception | Counseling | Cross-Sectional Studies | Family Planning Services | Female | Health Services Needs and Demand | Humans | Intrauterine Devices | Nepal | Postpartum Period | Pregnancy | Prevalence | Professional Practice Gaps | Quality Improvement [SUMMARY]
[CONTENT] ppfp method nepal | maternity ppfp service | childbirth nepal combined | childbirth nepal details | ppfp programs nepal [SUMMARY]
[CONTENT] ppfp method nepal | maternity ppfp service | childbirth nepal combined | childbirth nepal details | ppfp programs nepal [SUMMARY]
[CONTENT] ppfp method nepal | maternity ppfp service | childbirth nepal combined | childbirth nepal details | ppfp programs nepal [SUMMARY]
[CONTENT] ppfp method nepal | maternity ppfp service | childbirth nepal combined | childbirth nepal details | ppfp programs nepal [SUMMARY]
[CONTENT] ppfp method nepal | maternity ppfp service | childbirth nepal combined | childbirth nepal details | ppfp programs nepal [SUMMARY]
[CONTENT] ppfp method nepal | maternity ppfp service | childbirth nepal combined | childbirth nepal details | ppfp programs nepal [SUMMARY]
[CONTENT] ppfp | study | facilities | methods | mothers | nepal | deliveries | data | method | coverage [SUMMARY]
[CONTENT] ppfp | study | facilities | methods | mothers | nepal | deliveries | data | method | coverage [SUMMARY]
[CONTENT] ppfp | study | facilities | methods | mothers | nepal | deliveries | data | method | coverage [SUMMARY]
[CONTENT] ppfp | study | facilities | methods | mothers | nepal | deliveries | data | method | coverage [SUMMARY]
[CONTENT] ppfp | study | facilities | methods | mothers | nepal | deliveries | data | method | coverage [SUMMARY]
[CONTENT] ppfp | study | facilities | methods | mothers | nepal | deliveries | data | method | coverage [SUMMARY]
[CONTENT] facilities nepal | ppfp | nepal | postpartum | selected | family planning | planning | health facilities nepal | postpartum family planning | postpartum family [SUMMARY]
[CONTENT] hospital | data | study | based | included | analysis | zonal | zonal hospital | records | sample [SUMMARY]
[CONTENT] women | mothers | facilities | seven | ppfp | seven facilities | childbirth | proportion | total | highest [SUMMARY]
[CONTENT] ppfp | program | findings | need | study | need ppfp | highlights need find | highlights need find balance | balance demand supply addresses | balance demand supply [SUMMARY]
[CONTENT] ppfp | study | facilities | mothers | methods | nepal | method | data | deliveries | women [SUMMARY]
[CONTENT] ppfp | study | facilities | mothers | methods | nepal | method | data | deliveries | women [SUMMARY]
[CONTENT] Gynecologists | Nepalese | the International Federation of Obstetrics and Gynecology | Nepal | Nepal ||| [SUMMARY]
[CONTENT] seven | Nepal ||| between October 2018 and March 2019 ||| Nepal Health Research Council ||| SPSS | 23 [SUMMARY]
[CONTENT] 29,072 | 27,301 | 93.9% ||| Postpartum Intrauterine Device | 1581 | 5.4% | 1830 | 6.3% ||| 11387 | 52.2% ||| 36% [SUMMARY]
[CONTENT] Nepal | 2018 | 2016-2017 ||| Postpartum Family Planning | 2018 | Nepal | 2016-2017 ||| [SUMMARY]
[CONTENT] Gynecologists | Nepalese | the International Federation of Obstetrics and Gynecology | Nepal | Nepal ||| ||| seven | Nepal ||| between October 2018 and March 2019 ||| Nepal Health Research Council ||| SPSS | 23 ||| ||| 29,072 | 27,301 | 93.9% ||| Postpartum Intrauterine Device | 1581 | 5.4% | 1830 | 6.3% ||| 11387 | 52.2% ||| 36% ||| Nepal | 2018 | 2016-2017 ||| Postpartum Family Planning | 2018 | Nepal | 2016-2017 ||| [SUMMARY]
[CONTENT] Gynecologists | Nepalese | the International Federation of Obstetrics and Gynecology | Nepal | Nepal ||| ||| seven | Nepal ||| between October 2018 and March 2019 ||| Nepal Health Research Council ||| SPSS | 23 ||| ||| 29,072 | 27,301 | 93.9% ||| Postpartum Intrauterine Device | 1581 | 5.4% | 1830 | 6.3% ||| 11387 | 52.2% ||| 36% ||| Nepal | 2018 | 2016-2017 ||| Postpartum Family Planning | 2018 | Nepal | 2016-2017 ||| [SUMMARY]
Long-term dynamics of death rates of emphysema, asthma, and pneumonia and improving air quality.
25018627
The respiratory tract is a major target of exposure to air pollutants, and respiratory diseases are associated with both short- and long-term exposures. We hypothesized that improved air quality in North Carolina was associated with reduced rates of death from respiratory diseases in local populations.
BACKGROUND
We analyzed the trends of emphysema, asthma, and pneumonia mortality and changes of the levels of ozone, sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and particulate matters (PM2.5 and PM10) using monthly data measurements from air-monitoring stations in North Carolina in 1993-2010. The log-linear model was used to evaluate associations between air-pollutant levels and age-adjusted death rates (per 100,000 of population) calculated for 5-year age-groups and for standard 2000 North Carolina population. The studied associations were adjusted by age group-specific smoking prevalence and seasonal fluctuations of disease-specific respiratory deaths.
MATERIALS AND METHODS
Decline in emphysema deaths was associated with decreasing levels of SO2 and CO in the air, decline in asthma deaths-with lower SO2, CO, and PM10 levels, and decline in pneumonia deaths-with lower levels of SO2. Sensitivity analyses were performed to study potential effects of the change from International Classification of Diseases (ICD)-9 to ICD-10 codes, the effects of air pollutants on mortality during summer and winter, the impact of approach when only the underlying causes of deaths were used, and when mortality and air-quality data were analyzed on the county level. In each case, the results of sensitivity analyses demonstrated stability. The importance of analysis of pneumonia as an underlying cause of death was also highlighted.
RESULTS
Significant associations were observed between decreasing death rates of emphysema, asthma, and pneumonia and decreases in levels of ambient air pollutants in North Carolina.
CONCLUSION
[ "Adolescent", "Adult", "Aged", "Air Pollutants", "Asthma", "Carbon Monoxide", "Environmental Monitoring", "Female", "Humans", "Inhalation Exposure", "Linear Models", "Male", "Middle Aged", "Nitric Oxide", "North Carolina", "Ozone", "Particulate Matter", "Pneumonia", "Pulmonary Emphysema", "Risk Assessment", "Risk Factors", "Sulfur Dioxide", "Time Factors", "Young Adult" ]
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Introduction
Air pollution has a deleterious impact on human health,1–6 with global outdoor air pollutants estimated to account for approximately 1.4% of total mortality and 2% of all cardiopulmonary mortality.7 Both ambient particles4,8,9 and such gases as nitrogen dioxide (NO2), ozone (O3), and carbon monoxide (CO) have been shown to increase total, cardiovascular, and respiratory (predominantly due to lung cancer and chronic obstructive pulmonary disease [COPD]) mortality and morbidity.3,10,11 While the impact on any individual’s risk of death has been thought to be relatively modest per se, the overall impact of air pollution on the health of an exposed population makes it a major public health concern.12 While more studies on short-term impacts of changes of air quality are available (such as the legislated traffic holidays during the 1996 Atlanta Olympic Games13 and the 2008 Beijing Olympic Games14), less is known about the long-term effects of changing air quality on the health of exposed populations. For example, a ban on heating-coal sales in Dublin was thought to be associated with both reduced pollution from airborne particulate matters (PMs) and 5.7% reduction in all-cause, 15.5% reduction in respiratory, and 10.3% reduction in cardiovascular mortality.15 However, these results were considered inconclusive, due to the complexity and expense of evaluating the health effects of air pollution on populations.16,17 Since the 1990s, a variety of acts, standards, and requirements in the US have been adopted to improve air quality. For example, increasingly stringent national gasoline and automotive engine requirements have been applied, resulting in a decrease of CO, NOx, PM, and volatile organic compounds in the air. At the state level, North Carolina in 1992 entered into the Southern Appalachian Mountains Initiative, leading to the development of the Clean Smokestacks Act18 to mandate reduced emissions from coal-fired power plants.19 While few studies have analyzed the associations of both air quality and health over a long period, and they were typically limited to analysis of a specific air pollutant or a couple of pollutants, we were able to study longitudinally a number of air contaminants, including both PMs and noxious gases. In addition, we analyzed both air quality and health outcomes over almost two decades (1993–2010). Because respiratory morbidity and mortality are affected by changes in air quality,20–22 we evaluated the associations between the changes of the levels of PM10 and PM2.5, ozone, CO, NO2, and SO2 in the air and death rates of emphysema, asthma, and pneumonia.
Methodological aspects and study limitations
In our approach, the number of observations sufficient to estimate model parameters was achieved by incorporating monthly changes of air-pollutant levels and respiratory mortality. One advantage of this approach is that the unobserved heterogeneity due to other factors (such as socioeconomic status, quality of health care, migration) is minimal, because these factors do not essentially vary from month to month. In contrast, this unobserved heterogeneity is typical for ecological studies with area-based design, and could result in the occurrence of additional biases if these variables are not sufficiently controlled. One example of such a factor is the time trend describing improvements in the treatment of respiratory disease that occurred during the recent two decades and which contributed to decreasing trends of mortality from emphysema, asthma, and pneumonia. Both improved air quality and vaccinations against pneumonia could lead to fewer hospital admissions, eg, pneumonia age-adjusted death rates started declining in the late 1990s, while the hospital discharge rate did not change significantly for patients older than 15 years.86–88 Although our approach with measurements at the month level minimizes the bias from this time trend (because only a 12th of our measurements reflect the annual time trend), improvements in treatment (as well as factors other than air pollution and smoking with significant time trends) should be taken into account in further studies. For example, further analysis of disease-specific visits to emergency departments would be important to validate the role of improved medical care in observed respiratory disease trends. Other factors, such as changes in socioeconomic status, can also impact the dynamics of disease-specific mortality rates. However, it has been reported that for social factors, as well as for race, the effects of modification, eg, of PMs (ie, PM10) on total mortality were weak.20 In our study, the time pattern of smoking was chosen to reflect annual trends in respiratory mortality in addition to air pollution. Inclusion of one additional variable measured annually (ie, not on a monthly basis) could result in difficulty in distinguishing the effect of this variable and smoking. Smoking was chosen because its patterns are concordant with patterns of respiratory mortality, and because of many substantive results on the role of smoking in respiratory mortality (eg, findings that both smoking and exposure to air pollutants [eg, PM2.5] could exacerbate respiratory diseases).28,73 In our study, smoking had a significant stable effect on the dynamics of respiratory mortality from all three studied diseases. However, it can also reflect possible impacts of other variables with similar to smoking time trends and associations with respiratory mortality. Better evaluation of smoking effects (including synergistic effects of smoking and air pollutants) could be achieved in studies with individual records on smoking status. Study designs based on individual measurements of environmental exposure and health outcomes (which are classic epidemiologic approaches) would be helpful for improvement of the quality of estimates. However, such approaches are expensive and complex, in part due to the difficulty of measuring subjects’ exposure to the relatively low levels of pollutants in the air. Some studies on the use of outdoor monitoring-station data (compared with the personal indoor/outdoor-exposure monitors) demonstrated that personal exposure to pollutants of outdoor origin was more closely related to outdoor air-pollutant levels than interpretations of personal monitoring data.58,89 Furthermore, the frequently high correlations between levels of certain pollutants in the air also make it difficult to identify the impact of a single agent on human health.17 Changes in diagnostic criteria of respiratory diseases that happened during last two decades primarily affected the trends of disease incidence; however, in part, mortality trends were also affected. In children, diagnoses can transfer from chronic bronchitis and pneumonia to asthma, thus contributing to increasing trends in asthma prevalence (with its recent stabilization) and health care utilization.90 If the person dies from pneumonia, but also had an underlying condition of which the pneumonia was probably a result, than that underlying disease but not pneumonia is considered the cause of death in the death certificate, and thus fewer deaths are directly attributable to pneumonia.86 Although asthma death rates increased from 1980 to the mid-1990s, replaced ICD codes from the ninth to the tenth revision makes it challenging to evaluate the decline in asthma mortality since the late-1990s.91,92 With regard to this problem, it has been shown that decline in asthma mortality that occurred from 1998 to 1999 included approximately 11% of decline that resulted from the changes during the ICD codes transition; then, under ICD-10, asthma death rates continued declining.91 Because no definitive asthma laboratory tests exist, asthma estimates rely on the physician, who also should accurately attribute the cause of death to asthma; therefore, the reliability of the death certificates has been questioned (eg, for the chance of misreporting the cause of death in older persons with comorbid conditions). Large well-designed studies have concluded that asthma death coding has 99% specificity and low sensitivity (42%), and asthma as a cause of death was underreported in preference to COPD in all age-groups.91,93
Results
We analyzed up to 180 month-specific measurements of each of the studied air pollutants recorded at multiple monitoring sites in North Carolina (see Table 1 for detailed air pollutant-specific information). We found air quality in North Carolina gradually improving over time, primarily due to decreasing PM10, NO2, and CO levels. These decreases became more pronounced from 2002 (see Figure 1; note that individual pollutants were placed onto a single graph by utilizing the arbitrary units to enable a collective visualization of the trends). The following seasonal fluctuations of pollutants levels were observed (Figure 2): levels of ozone, PM2.5, and PM10 were higher in summer, while levels of SO2, NO2, and CO were higher in winter. Since 1983, the death rates of three studied diseases have been decreasing (Figure 3), with declines in emphysema death rates more dramatic since 1998, for asthma since 1995, and for pneumonia since 1990. From 1993 to 2010, 101,374 deaths in North Carolina were caused by pneumonia, 13,187 by emphysema, and 5,509 by asthma. The detailed description of the studied population is presented in Table 2. Among those who died from emphysema and from pneumonia, 80.7% and 85.9%, respectively, were older than 65 years. For asthma, ages at death were younger: 9.7% were younger than 40 years, and 31.3% were aged 40–64 years old. However, the declining trends of pollutant concentrations and death rates during 1993–2010 do not essentially confirm causality. The association between the changes of air-pollutant levels and dynamics of disease-specific death rates after being adjusted for smoking prevalence (for respective year and age-group), and by monthly fluctuations in respiratory disease-specific death rates are shown in Table 3, for each air pollutant. The disease-specific death rate (number of deaths per 100,000 population) decreased by a factor calculated based on the value of estimate presented in Table 3 (ie, per decrease of concentration of each pollutant by one unit of measurement: per 1.0 ppb for ozone, SO2, NO2, CO, and per 1.0 μg/m3 for PM2.5 and PM10). For example, the estimate for emphysema in Table 3 means that if the SO2 level decreases by 1 ppb, the emphysema death rate (per 100,000 population) can be predicted to decrease by a factor of exp(0.0547) =1.056. Similar interpretation can be developed for smoking estimates, keeping in mind that smoking is represented by its prevalence in population measured in percentages, and thus the respective exponential factor corresponds to a change in smoking prevalence by 1%. Among gaseous pollutants, the estimates for associations between reduction of air-pollutant levels and reduction of death rates were significant for SO2 and emphysema (0.0547±0.0106, P<0.0001), asthma (0.0598±0.0173, P<0.001), and pneumonia (0.0309±0.0093, P<0.001), and for CO and emphysema (0.0004±0.0001, P<0.0001) and asthma (0.0006±0.0001, P<0.001). For PM, reduced PM2.5 levels were associated with reduction of emphysema mortality (0.0155±0.0066, P<0.05) and reduced PM10 levels, with reduction of asthma mortality (0.0204±0.0058, P<0.001). As expected, smoking significantly affected the mortality of each disease. Sensitivity analysis The sensitivity analysis demonstrated good stability of obtained results (see Table S1 for detailed information). In the sensitivity analysis, the association between pneumonia mortality and CO levels became significant (P=0.0655 in main versus P<0.0001 in sensitivity analysis) when pneumonia was analyzed as an underlying cause of death. Recent studies have demonstrated that separation of comorbid conditions to underlying and secondary causes can be unreliable;23–25 however, for certain diseases with a predominantly acute course (eg, pneumonia), that may not be the case, and additional information can also be obtained from analysis of underlying causes of death. In addition, sensitivity analysis showed that during summer decreased mortality from emphysema was associated with lower levels of PM10 (P=0.2554 in main versus P=0.017 in sensitivity analysis), and statistical significance was observed for associations between pneumonia mortality and CO levels when ICD code changes were taken into account (P=0.0655 in main versus P=0.018 in sensitivity analysis). A county-level analysis also demonstrated the stability of most observations in the main analysis. Among associations that were significant under Bonferroni correction in the main analysis, associations between dynamics of SO2 and mortality from emphysema (0.1399, P<0.001) and pneumonia (0.0698, P<0.001), and associations between changes of CO levels and asthma mortality (0.0004, P<0.05) were also significant in the sensitivity analysis. The association between CO and pneumonia mortality was also significant when analysis was performed on a county level (0.0002, P<0.001). Recall that this association was significant in the analysis using state-level data in two cases: when being corrected for changes of ICD codes and when only underlying causes of deaths were considered as contributing to the cause-specific death (see detailed results in Table S1). The effects of dynamics of SO2 and PM10 on asthma mortality became nonsignificant (P>0.05), likely due to the small number of county-specific asthma deaths and due to the large fraction of zeroth death rates that were not successfully described by Equation 1. The sensitivity analysis demonstrated good stability of obtained results (see Table S1 for detailed information). In the sensitivity analysis, the association between pneumonia mortality and CO levels became significant (P=0.0655 in main versus P<0.0001 in sensitivity analysis) when pneumonia was analyzed as an underlying cause of death. Recent studies have demonstrated that separation of comorbid conditions to underlying and secondary causes can be unreliable;23–25 however, for certain diseases with a predominantly acute course (eg, pneumonia), that may not be the case, and additional information can also be obtained from analysis of underlying causes of death. In addition, sensitivity analysis showed that during summer decreased mortality from emphysema was associated with lower levels of PM10 (P=0.2554 in main versus P=0.017 in sensitivity analysis), and statistical significance was observed for associations between pneumonia mortality and CO levels when ICD code changes were taken into account (P=0.0655 in main versus P=0.018 in sensitivity analysis). A county-level analysis also demonstrated the stability of most observations in the main analysis. Among associations that were significant under Bonferroni correction in the main analysis, associations between dynamics of SO2 and mortality from emphysema (0.1399, P<0.001) and pneumonia (0.0698, P<0.001), and associations between changes of CO levels and asthma mortality (0.0004, P<0.05) were also significant in the sensitivity analysis. The association between CO and pneumonia mortality was also significant when analysis was performed on a county level (0.0002, P<0.001). Recall that this association was significant in the analysis using state-level data in two cases: when being corrected for changes of ICD codes and when only underlying causes of deaths were considered as contributing to the cause-specific death (see detailed results in Table S1). The effects of dynamics of SO2 and PM10 on asthma mortality became nonsignificant (P>0.05), likely due to the small number of county-specific asthma deaths and due to the large fraction of zeroth death rates that were not successfully described by Equation 1.
Conclusion
We observed temporal regional associations between long-term dynamics of decreasing death rates of emphysema, asthma, and pneumonia and reductions of the levels of certain air pollutants in North Carolina. Our results support the hypothesis that improvement in air quality, especially declines in SO2, CO, and PM10 levels in the air, contributed to the improved respiratory health of the North Carolina population. Since other factors (in addition to the studied air pollutants) might also account for improved health outcomes, ultimately caution should be exercised in inferring cause–effect relations.
[ "Data", "Ethics statement", "Methods", "Sensitivity analysis", "Sensitivity analysis", "Air quality and emphysema", "Air quality and asthma", "Air quality and pneumonia", "Conclusion" ]
[ "We analyzed mortality rates for emphysema (International Classification of Diseases [ICD]-9 code 492, ICD-10 code J43), asthma (ICD-9 code 493, ICD-10 codes J45, J46), and pneumonia (ICD-9 codes 480.0, 480.1, 480.2, 480.9, 485, 486, 487.0, 487.1, ICD-10 codes J11.00, J11.1, J12.0, J12.1, J12.2, J12.9, J18.0, J18.9) in North Carolina from 1983 to 2010 using the data from the Vital Statistics National Center for Health Statistics Multiple Cause of Death dataset. We started the mortality analysis with the data from 1983, but could only analyze air quality when monitoring data were available, ie, 1993–2010. The mortality data enabled an analysis of a longer period of death-rate dynamics, thus allowing to observe the dynamics of disease-specific mortality before the measured reduction in particulate and gaseous emissions in North Carolina. Age-adjusted death rates (per 100,000 of population) were calculated using 5-year age-groups and standard 2000 North Carolina population. The data on population were provided by the Surveillance Epidemiology and End Results Registry (SEER) at http://www.seer.cancer.gov/popdata/download.html.\nData on concentrations of PM2.5 (μg/m3), PM (μg/m3 10), ozone (ppb), CO (ppb), NO2 (ppb), and SO2 (ppb) in the air in 1993–2010 were obtained from the US Environmental Protection Agency (EPA) (http://www.epa.gov/ttn/airs/airsaqs/detaildata/downloadaqsdata.htm). We used the averaged month-specific concentrations of air pollutants for North Carolina to further analyze them for associations with the dynamics of cause-specific monthly mortality in the state. A two-stage averaging procedure was used to avoid heterogeneity in the numbers of measurements made in certain days of the month: first, we calculated the day-specific means, and then these values were averaged, resulting in month-specific means. Negative values were excluded, and measurements with various units were converted to μg/m3 for PM2.5 and PM10, and to ppb for ozone, CO, NO2, and SO2. Since the data on air pollutants represented different methods of registration during different durations of sample collection (ie, the length of time used to acquire a sample measurement), an auxiliary analysis was performed to check whether the specific method could be considered as an outlier and therefore excluded from the analyses.\nAlso, data on the prevalence of tobacco use for 1995–2010 were obtained from the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System survey for age–groups 18–24, 25–34, 35–44, 45–54, 55–64, and 65+ years (http://www.cdc.gov/brfss).", "The data used in this study have no individual identifiable information. No specific procedures were required for de-identification of the records. All data analyses were designed and performed in accordance with the ethical standards of the committee on human experimentation and with the Helsinki Declaration (1975, revised in 1983), and were approved by the Duke University Health System Institutional Review Board.", "Trends of cause-specific death rates and of levels of air contaminants were analyzed for correlations. Adjustment by smoking prevalence and seasonal fluctuations in respiratory deaths (for monthly death rates of emphysema, asthma, and pneumonia) were included in a log-linear model that was used to evaluate the associations between the level of each studied air pollutant and the death rates, as follows:\nwhere u was the intercept, β1 represented the effect of each studied air pollutant depending on its concentration (denoted by c) measured in its units (as described in the Data section), β2 represented the effect of smoking prevalence (denoted by s), μm represented the effects of 11 months (January to November for each year) in respect of December (Im is the month indicator), and ε stood for random residuals. Note that if the air-pollutant concentration changes by one unit of its measured level in the air, the rate r changes by the factor of exp(β1). For multiple comparisons, the Bonferroni correction was applied.", "The potential effect of ICD code changes (from ICD-9 to ICD-10), the seasonal fluctuation of air pollutants and mortality during summer and winter, and the analysis validity when only the underlying causes of deaths contributed to the cause-specific death rates were tested. In addition, sensitivity analysis was performed for county-level data on respiratory mortality and air-pollutant levels. Only counties for which the data on air quality were directly measured by monitoring stations were included in the analysis: 37 counties for ozone measurements, 11 counties for NO2, 22 counties for SO2, 16 counties for CO, and 37 counties for PM2.5 and PM10 measurements. As in the main analysis, dynamics of smoking prevalence (on state level) and seasonal fluctuations in respiratory mortality were used for adjustments of the results.", "The sensitivity analysis demonstrated good stability of obtained results (see Table S1 for detailed information). In the sensitivity analysis, the association between pneumonia mortality and CO levels became significant (P=0.0655 in main versus P<0.0001 in sensitivity analysis) when pneumonia was analyzed as an underlying cause of death. Recent studies have demonstrated that separation of comorbid conditions to underlying and secondary causes can be unreliable;23–25 however, for certain diseases with a predominantly acute course (eg, pneumonia), that may not be the case, and additional information can also be obtained from analysis of underlying causes of death. In addition, sensitivity analysis showed that during summer decreased mortality from emphysema was associated with lower levels of PM10 (P=0.2554 in main versus P=0.017 in sensitivity analysis), and statistical significance was observed for associations between pneumonia mortality and CO levels when ICD code changes were taken into account (P=0.0655 in main versus P=0.018 in sensitivity analysis).\nA county-level analysis also demonstrated the stability of most observations in the main analysis. Among associations that were significant under Bonferroni correction in the main analysis, associations between dynamics of SO2 and mortality from emphysema (0.1399, P<0.001) and pneumonia (0.0698, P<0.001), and associations between changes of CO levels and asthma mortality (0.0004, P<0.05) were also significant in the sensitivity analysis. The association between CO and pneumonia mortality was also significant when analysis was performed on a county level (0.0002, P<0.001). Recall that this association was significant in the analysis using state-level data in two cases: when being corrected for changes of ICD codes and when only underlying causes of deaths were considered as contributing to the cause-specific death (see detailed results in Table S1). The effects of dynamics of SO2 and PM10 on asthma mortality became nonsignificant (P>0.05), likely due to the small number of county-specific asthma deaths and due to the large fraction of zeroth death rates that were not successfully described by Equation 1.", "In our study, the association between reduced levels of ozone, SO2, NO2, CO, and PM2.5 and decreased mortality from emphysema were observed, with associations for SO2 and CO remaining significant under Bonferroni correction. In other studies, emphysema outcomes were usually analyzed as a part of COPD; nonetheless, our findings on emphysema are in general agreement with these publications. For example, higher prevalence of visits to emergency departments for COPD and emphysema have been observed for higher SO2 levels37 (especially among older adults38); however, some studies showed that these associations may be attributable to SO2 serving as a surrogate of other substances.39 Few studies are available on the effects of outdoor CO on COPD.40,41 Our results on associations between lower CO levels and lower emphysema mortality are in agreement with studies that showed increased morbidity and mortality risks among patients with COPD.42–45 Note that the impacts of CO could be effectively minimized by controlling transportation activities, which accounts for more than three-quarters of CO emissions in the US.42,46 While in our study associations with PM2.5 became nonsignificant under Bonferroni correction, in other studies higher levels of PM2.5 have been associated with higher admissions for COPD exacerbation47 and with increased COPD mortality.48–50 These differences could be due to the fact that the aforementioned studies were performed outside the US, had different patterns of seasonal fluctuations of PM levels in the air, and also were focused on specific populations (ie, older adults).", "We observed decreasing asthma mortality associated with lower levels of NO2, SO2, CO, and PM10, with the latter three pollutants remaining significant under Bonferroni correction. These results are in agreement with other studies. For example, correlations have been reported between asthma mortality and SO251 and NO252–56 levels, and between asthma severity (in children) and CO levels.43,44,57 Other studies reported that asthma mortality decreased earlier in response to improvement of air quality (eg, when compared to emphysema or chronic bronchitis),51 with a decrease of asthma deaths occurring approximately 5 years earlier.\nThe effects of PMs on respiratory health and, in particular, on asthma have been studied predominantly for associations with prevalence of respiratory symptoms58–60 and emergency department visits or hospital admissions.28,61–63 It has been shown that asthma symptoms were exacerbated even at PMs concentrations being 60% below the safety limits for PMs (ie, that supposed not to affect the healthy population).64 However, information on associations of asthma mortality with long-term exposure to PMs is sparse. In our study, reduction of PM10 (and its seasonal fluctuations) was associated with decreased asthma mortality in North Carolina. Previous studies on PM10 showed that elevated levels of PM10 were correlated with hospital admissions for asthma among patients aged 65+ years65 and children,44,57 and also with increased use of asthma medications among patients aged from 8 to 72 years old.66\nBecause air-quality and asthma-aggravation associations are reported from the studies typically performed in a single geographic region over a single season, individual study results may not be applicable to different populations and to longer weather/season cycles.43 Also, different components of PMs (eg, sulfates, nitrates, organic chemicals, metals, and soil or dust particles)12 may have different effects on the respiratory system.16,34,67 This makes comparisons between the studies challenging and may explain the diversity of results on health effects of PMs on both geographic and temporal scales.68", "In our study, a decrease in pneumonia deaths was associated with decreasing SO2 levels. Also, when pneumonia was considered as the underlying cause of death, lower pneumonia death rates were observed for lower CO levels. Some studies have linked an acute respiratory disease with higher levels of SO2 pollution, independently of cigarette smoking,69 while later studies have not confirmed these associations (however, some results were sensitive to the methods used to estimate air-pollutant levels).70,71 For CO, an association has been reported between its increased concentrations and higher pneumonia hospitalization.45\nWhile some epidemiological and experimental studies have suggested relationships between NO2, ozone, and PMs and increased risk for viral respiratory infections,72 we did not find these associations in our study. Our results are in agreement with another study that did not find positive associations between PMs and pneumonia deaths (they found associations only for the group of never-smokers).73 However, most of the studies were performed on pneumonia morbidity (including hospitalizations and emergency department visits), while our study was on mortality. Also, multiple reports on associations between pneumonia risk and PMs levels come from international studies, eg, from Europe (where PMs levels peak in winter), while on the East Coast of the US they typically peak in summer,74 as we also observed in our study. While pneumonia is more frequent in late fall and winter, the relationships between outdoor air quality and health are supposed to be stronger in summer, when people spend more time outdoors. A study from Boston also supports our findings: no associations with pneumonia hospital admissions were found in summer, while in winter the largest effect on pneumonia morbidity was reported not for PMs but for black carbon (a surrogate for traffic particles: 14.3% increase of pneumonia hospitalizations for 1.7 μg/m3 increase of black carbon).45 Higher risk of morbidity and mortality from acute respiratory infections has been also reported for children exposed to PM10.22,75–85 In our study, we did not estimate mortality risks specifically for children; future studies will be performed for age-groups that are potentially at highest risk (ie, children and older adults).", "We observed temporal regional associations between long-term dynamics of decreasing death rates of emphysema, asthma, and pneumonia and reductions of the levels of certain air pollutants in North Carolina. Our results support the hypothesis that improvement in air quality, especially declines in SO2, CO, and PM10 levels in the air, contributed to the improved respiratory health of the North Carolina population. Since other factors (in addition to the studied air pollutants) might also account for improved health outcomes, ultimately caution should be exercised in inferring cause–effect relations." ]
[ "methods", null, "methods", "methods", "methods", null, null, null, null ]
[ "Introduction", "Materials and methods", "Data", "Ethics statement", "Methods", "Sensitivity analysis", "Results", "Sensitivity analysis", "Discussion", "Air quality and emphysema", "Air quality and asthma", "Air quality and pneumonia", "Methodological aspects and study limitations", "Conclusion", "Supplementary material" ]
[ "Air pollution has a deleterious impact on human health,1–6 with global outdoor air pollutants estimated to account for approximately 1.4% of total mortality and 2% of all cardiopulmonary mortality.7 Both ambient particles4,8,9 and such gases as nitrogen dioxide (NO2), ozone (O3), and carbon monoxide (CO) have been shown to increase total, cardiovascular, and respiratory (predominantly due to lung cancer and chronic obstructive pulmonary disease [COPD]) mortality and morbidity.3,10,11 While the impact on any individual’s risk of death has been thought to be relatively modest per se, the overall impact of air pollution on the health of an exposed population makes it a major public health concern.12\nWhile more studies on short-term impacts of changes of air quality are available (such as the legislated traffic holidays during the 1996 Atlanta Olympic Games13 and the 2008 Beijing Olympic Games14), less is known about the long-term effects of changing air quality on the health of exposed populations. For example, a ban on heating-coal sales in Dublin was thought to be associated with both reduced pollution from airborne particulate matters (PMs) and 5.7% reduction in all-cause, 15.5% reduction in respiratory, and 10.3% reduction in cardiovascular mortality.15 However, these results were considered inconclusive, due to the complexity and expense of evaluating the health effects of air pollution on populations.16,17 Since the 1990s, a variety of acts, standards, and requirements in the US have been adopted to improve air quality. For example, increasingly stringent national gasoline and automotive engine requirements have been applied, resulting in a decrease of CO, NOx, PM, and volatile organic compounds in the air. At the state level, North Carolina in 1992 entered into the Southern Appalachian Mountains Initiative, leading to the development of the Clean Smokestacks Act18 to mandate reduced emissions from coal-fired power plants.19\nWhile few studies have analyzed the associations of both air quality and health over a long period, and they were typically limited to analysis of a specific air pollutant or a couple of pollutants, we were able to study longitudinally a number of air contaminants, including both PMs and noxious gases. In addition, we analyzed both air quality and health outcomes over almost two decades (1993–2010). Because respiratory morbidity and mortality are affected by changes in air quality,20–22 we evaluated the associations between the changes of the levels of PM10 and PM2.5, ozone, CO, NO2, and SO2 in the air and death rates of emphysema, asthma, and pneumonia.", " Data We analyzed mortality rates for emphysema (International Classification of Diseases [ICD]-9 code 492, ICD-10 code J43), asthma (ICD-9 code 493, ICD-10 codes J45, J46), and pneumonia (ICD-9 codes 480.0, 480.1, 480.2, 480.9, 485, 486, 487.0, 487.1, ICD-10 codes J11.00, J11.1, J12.0, J12.1, J12.2, J12.9, J18.0, J18.9) in North Carolina from 1983 to 2010 using the data from the Vital Statistics National Center for Health Statistics Multiple Cause of Death dataset. We started the mortality analysis with the data from 1983, but could only analyze air quality when monitoring data were available, ie, 1993–2010. The mortality data enabled an analysis of a longer period of death-rate dynamics, thus allowing to observe the dynamics of disease-specific mortality before the measured reduction in particulate and gaseous emissions in North Carolina. Age-adjusted death rates (per 100,000 of population) were calculated using 5-year age-groups and standard 2000 North Carolina population. The data on population were provided by the Surveillance Epidemiology and End Results Registry (SEER) at http://www.seer.cancer.gov/popdata/download.html.\nData on concentrations of PM2.5 (μg/m3), PM (μg/m3 10), ozone (ppb), CO (ppb), NO2 (ppb), and SO2 (ppb) in the air in 1993–2010 were obtained from the US Environmental Protection Agency (EPA) (http://www.epa.gov/ttn/airs/airsaqs/detaildata/downloadaqsdata.htm). We used the averaged month-specific concentrations of air pollutants for North Carolina to further analyze them for associations with the dynamics of cause-specific monthly mortality in the state. A two-stage averaging procedure was used to avoid heterogeneity in the numbers of measurements made in certain days of the month: first, we calculated the day-specific means, and then these values were averaged, resulting in month-specific means. Negative values were excluded, and measurements with various units were converted to μg/m3 for PM2.5 and PM10, and to ppb for ozone, CO, NO2, and SO2. Since the data on air pollutants represented different methods of registration during different durations of sample collection (ie, the length of time used to acquire a sample measurement), an auxiliary analysis was performed to check whether the specific method could be considered as an outlier and therefore excluded from the analyses.\nAlso, data on the prevalence of tobacco use for 1995–2010 were obtained from the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System survey for age–groups 18–24, 25–34, 35–44, 45–54, 55–64, and 65+ years (http://www.cdc.gov/brfss).\nWe analyzed mortality rates for emphysema (International Classification of Diseases [ICD]-9 code 492, ICD-10 code J43), asthma (ICD-9 code 493, ICD-10 codes J45, J46), and pneumonia (ICD-9 codes 480.0, 480.1, 480.2, 480.9, 485, 486, 487.0, 487.1, ICD-10 codes J11.00, J11.1, J12.0, J12.1, J12.2, J12.9, J18.0, J18.9) in North Carolina from 1983 to 2010 using the data from the Vital Statistics National Center for Health Statistics Multiple Cause of Death dataset. We started the mortality analysis with the data from 1983, but could only analyze air quality when monitoring data were available, ie, 1993–2010. The mortality data enabled an analysis of a longer period of death-rate dynamics, thus allowing to observe the dynamics of disease-specific mortality before the measured reduction in particulate and gaseous emissions in North Carolina. Age-adjusted death rates (per 100,000 of population) were calculated using 5-year age-groups and standard 2000 North Carolina population. The data on population were provided by the Surveillance Epidemiology and End Results Registry (SEER) at http://www.seer.cancer.gov/popdata/download.html.\nData on concentrations of PM2.5 (μg/m3), PM (μg/m3 10), ozone (ppb), CO (ppb), NO2 (ppb), and SO2 (ppb) in the air in 1993–2010 were obtained from the US Environmental Protection Agency (EPA) (http://www.epa.gov/ttn/airs/airsaqs/detaildata/downloadaqsdata.htm). We used the averaged month-specific concentrations of air pollutants for North Carolina to further analyze them for associations with the dynamics of cause-specific monthly mortality in the state. A two-stage averaging procedure was used to avoid heterogeneity in the numbers of measurements made in certain days of the month: first, we calculated the day-specific means, and then these values were averaged, resulting in month-specific means. Negative values were excluded, and measurements with various units were converted to μg/m3 for PM2.5 and PM10, and to ppb for ozone, CO, NO2, and SO2. Since the data on air pollutants represented different methods of registration during different durations of sample collection (ie, the length of time used to acquire a sample measurement), an auxiliary analysis was performed to check whether the specific method could be considered as an outlier and therefore excluded from the analyses.\nAlso, data on the prevalence of tobacco use for 1995–2010 were obtained from the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System survey for age–groups 18–24, 25–34, 35–44, 45–54, 55–64, and 65+ years (http://www.cdc.gov/brfss).\n Ethics statement The data used in this study have no individual identifiable information. No specific procedures were required for de-identification of the records. All data analyses were designed and performed in accordance with the ethical standards of the committee on human experimentation and with the Helsinki Declaration (1975, revised in 1983), and were approved by the Duke University Health System Institutional Review Board.\nThe data used in this study have no individual identifiable information. No specific procedures were required for de-identification of the records. All data analyses were designed and performed in accordance with the ethical standards of the committee on human experimentation and with the Helsinki Declaration (1975, revised in 1983), and were approved by the Duke University Health System Institutional Review Board.\n Methods Trends of cause-specific death rates and of levels of air contaminants were analyzed for correlations. Adjustment by smoking prevalence and seasonal fluctuations in respiratory deaths (for monthly death rates of emphysema, asthma, and pneumonia) were included in a log-linear model that was used to evaluate the associations between the level of each studied air pollutant and the death rates, as follows:\nwhere u was the intercept, β1 represented the effect of each studied air pollutant depending on its concentration (denoted by c) measured in its units (as described in the Data section), β2 represented the effect of smoking prevalence (denoted by s), μm represented the effects of 11 months (January to November for each year) in respect of December (Im is the month indicator), and ε stood for random residuals. Note that if the air-pollutant concentration changes by one unit of its measured level in the air, the rate r changes by the factor of exp(β1). For multiple comparisons, the Bonferroni correction was applied.\nTrends of cause-specific death rates and of levels of air contaminants were analyzed for correlations. Adjustment by smoking prevalence and seasonal fluctuations in respiratory deaths (for monthly death rates of emphysema, asthma, and pneumonia) were included in a log-linear model that was used to evaluate the associations between the level of each studied air pollutant and the death rates, as follows:\nwhere u was the intercept, β1 represented the effect of each studied air pollutant depending on its concentration (denoted by c) measured in its units (as described in the Data section), β2 represented the effect of smoking prevalence (denoted by s), μm represented the effects of 11 months (January to November for each year) in respect of December (Im is the month indicator), and ε stood for random residuals. Note that if the air-pollutant concentration changes by one unit of its measured level in the air, the rate r changes by the factor of exp(β1). For multiple comparisons, the Bonferroni correction was applied.\n Sensitivity analysis The potential effect of ICD code changes (from ICD-9 to ICD-10), the seasonal fluctuation of air pollutants and mortality during summer and winter, and the analysis validity when only the underlying causes of deaths contributed to the cause-specific death rates were tested. In addition, sensitivity analysis was performed for county-level data on respiratory mortality and air-pollutant levels. Only counties for which the data on air quality were directly measured by monitoring stations were included in the analysis: 37 counties for ozone measurements, 11 counties for NO2, 22 counties for SO2, 16 counties for CO, and 37 counties for PM2.5 and PM10 measurements. As in the main analysis, dynamics of smoking prevalence (on state level) and seasonal fluctuations in respiratory mortality were used for adjustments of the results.\nThe potential effect of ICD code changes (from ICD-9 to ICD-10), the seasonal fluctuation of air pollutants and mortality during summer and winter, and the analysis validity when only the underlying causes of deaths contributed to the cause-specific death rates were tested. In addition, sensitivity analysis was performed for county-level data on respiratory mortality and air-pollutant levels. Only counties for which the data on air quality were directly measured by monitoring stations were included in the analysis: 37 counties for ozone measurements, 11 counties for NO2, 22 counties for SO2, 16 counties for CO, and 37 counties for PM2.5 and PM10 measurements. As in the main analysis, dynamics of smoking prevalence (on state level) and seasonal fluctuations in respiratory mortality were used for adjustments of the results.", "We analyzed mortality rates for emphysema (International Classification of Diseases [ICD]-9 code 492, ICD-10 code J43), asthma (ICD-9 code 493, ICD-10 codes J45, J46), and pneumonia (ICD-9 codes 480.0, 480.1, 480.2, 480.9, 485, 486, 487.0, 487.1, ICD-10 codes J11.00, J11.1, J12.0, J12.1, J12.2, J12.9, J18.0, J18.9) in North Carolina from 1983 to 2010 using the data from the Vital Statistics National Center for Health Statistics Multiple Cause of Death dataset. We started the mortality analysis with the data from 1983, but could only analyze air quality when monitoring data were available, ie, 1993–2010. The mortality data enabled an analysis of a longer period of death-rate dynamics, thus allowing to observe the dynamics of disease-specific mortality before the measured reduction in particulate and gaseous emissions in North Carolina. Age-adjusted death rates (per 100,000 of population) were calculated using 5-year age-groups and standard 2000 North Carolina population. The data on population were provided by the Surveillance Epidemiology and End Results Registry (SEER) at http://www.seer.cancer.gov/popdata/download.html.\nData on concentrations of PM2.5 (μg/m3), PM (μg/m3 10), ozone (ppb), CO (ppb), NO2 (ppb), and SO2 (ppb) in the air in 1993–2010 were obtained from the US Environmental Protection Agency (EPA) (http://www.epa.gov/ttn/airs/airsaqs/detaildata/downloadaqsdata.htm). We used the averaged month-specific concentrations of air pollutants for North Carolina to further analyze them for associations with the dynamics of cause-specific monthly mortality in the state. A two-stage averaging procedure was used to avoid heterogeneity in the numbers of measurements made in certain days of the month: first, we calculated the day-specific means, and then these values were averaged, resulting in month-specific means. Negative values were excluded, and measurements with various units were converted to μg/m3 for PM2.5 and PM10, and to ppb for ozone, CO, NO2, and SO2. Since the data on air pollutants represented different methods of registration during different durations of sample collection (ie, the length of time used to acquire a sample measurement), an auxiliary analysis was performed to check whether the specific method could be considered as an outlier and therefore excluded from the analyses.\nAlso, data on the prevalence of tobacco use for 1995–2010 were obtained from the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System survey for age–groups 18–24, 25–34, 35–44, 45–54, 55–64, and 65+ years (http://www.cdc.gov/brfss).", "The data used in this study have no individual identifiable information. No specific procedures were required for de-identification of the records. All data analyses were designed and performed in accordance with the ethical standards of the committee on human experimentation and with the Helsinki Declaration (1975, revised in 1983), and were approved by the Duke University Health System Institutional Review Board.", "Trends of cause-specific death rates and of levels of air contaminants were analyzed for correlations. Adjustment by smoking prevalence and seasonal fluctuations in respiratory deaths (for monthly death rates of emphysema, asthma, and pneumonia) were included in a log-linear model that was used to evaluate the associations between the level of each studied air pollutant and the death rates, as follows:\nwhere u was the intercept, β1 represented the effect of each studied air pollutant depending on its concentration (denoted by c) measured in its units (as described in the Data section), β2 represented the effect of smoking prevalence (denoted by s), μm represented the effects of 11 months (January to November for each year) in respect of December (Im is the month indicator), and ε stood for random residuals. Note that if the air-pollutant concentration changes by one unit of its measured level in the air, the rate r changes by the factor of exp(β1). For multiple comparisons, the Bonferroni correction was applied.", "The potential effect of ICD code changes (from ICD-9 to ICD-10), the seasonal fluctuation of air pollutants and mortality during summer and winter, and the analysis validity when only the underlying causes of deaths contributed to the cause-specific death rates were tested. In addition, sensitivity analysis was performed for county-level data on respiratory mortality and air-pollutant levels. Only counties for which the data on air quality were directly measured by monitoring stations were included in the analysis: 37 counties for ozone measurements, 11 counties for NO2, 22 counties for SO2, 16 counties for CO, and 37 counties for PM2.5 and PM10 measurements. As in the main analysis, dynamics of smoking prevalence (on state level) and seasonal fluctuations in respiratory mortality were used for adjustments of the results.", "We analyzed up to 180 month-specific measurements of each of the studied air pollutants recorded at multiple monitoring sites in North Carolina (see Table 1 for detailed air pollutant-specific information). We found air quality in North Carolina gradually improving over time, primarily due to decreasing PM10, NO2, and CO levels. These decreases became more pronounced from 2002 (see Figure 1; note that individual pollutants were placed onto a single graph by utilizing the arbitrary units to enable a collective visualization of the trends). The following seasonal fluctuations of pollutants levels were observed (Figure 2): levels of ozone, PM2.5, and PM10 were higher in summer, while levels of SO2, NO2, and CO were higher in winter.\nSince 1983, the death rates of three studied diseases have been decreasing (Figure 3), with declines in emphysema death rates more dramatic since 1998, for asthma since 1995, and for pneumonia since 1990. From 1993 to 2010, 101,374 deaths in North Carolina were caused by pneumonia, 13,187 by emphysema, and 5,509 by asthma. The detailed description of the studied population is presented in Table 2. Among those who died from emphysema and from pneumonia, 80.7% and 85.9%, respectively, were older than 65 years. For asthma, ages at death were younger: 9.7% were younger than 40 years, and 31.3% were aged 40–64 years old. However, the declining trends of pollutant concentrations and death rates during 1993–2010 do not essentially confirm causality.\nThe association between the changes of air-pollutant levels and dynamics of disease-specific death rates after being adjusted for smoking prevalence (for respective year and age-group), and by monthly fluctuations in respiratory disease-specific death rates are shown in Table 3, for each air pollutant. The disease-specific death rate (number of deaths per 100,000 population) decreased by a factor calculated based on the value of estimate presented in Table 3 (ie, per decrease of concentration of each pollutant by one unit of measurement: per 1.0 ppb for ozone, SO2, NO2, CO, and per 1.0 μg/m3 for PM2.5 and PM10). For example, the estimate for emphysema in Table 3 means that if the SO2 level decreases by 1 ppb, the emphysema death rate (per 100,000 population) can be predicted to decrease by a factor of exp(0.0547) =1.056. Similar interpretation can be developed for smoking estimates, keeping in mind that smoking is represented by its prevalence in population measured in percentages, and thus the respective exponential factor corresponds to a change in smoking prevalence by 1%.\nAmong gaseous pollutants, the estimates for associations between reduction of air-pollutant levels and reduction of death rates were significant for SO2 and emphysema (0.0547±0.0106, P<0.0001), asthma (0.0598±0.0173, P<0.001), and pneumonia (0.0309±0.0093, P<0.001), and for CO and emphysema (0.0004±0.0001, P<0.0001) and asthma (0.0006±0.0001, P<0.001). For PM, reduced PM2.5 levels were associated with reduction of emphysema mortality (0.0155±0.0066, P<0.05) and reduced PM10 levels, with reduction of asthma mortality (0.0204±0.0058, P<0.001). As expected, smoking significantly affected the mortality of each disease.\n Sensitivity analysis The sensitivity analysis demonstrated good stability of obtained results (see Table S1 for detailed information). In the sensitivity analysis, the association between pneumonia mortality and CO levels became significant (P=0.0655 in main versus P<0.0001 in sensitivity analysis) when pneumonia was analyzed as an underlying cause of death. Recent studies have demonstrated that separation of comorbid conditions to underlying and secondary causes can be unreliable;23–25 however, for certain diseases with a predominantly acute course (eg, pneumonia), that may not be the case, and additional information can also be obtained from analysis of underlying causes of death. In addition, sensitivity analysis showed that during summer decreased mortality from emphysema was associated with lower levels of PM10 (P=0.2554 in main versus P=0.017 in sensitivity analysis), and statistical significance was observed for associations between pneumonia mortality and CO levels when ICD code changes were taken into account (P=0.0655 in main versus P=0.018 in sensitivity analysis).\nA county-level analysis also demonstrated the stability of most observations in the main analysis. Among associations that were significant under Bonferroni correction in the main analysis, associations between dynamics of SO2 and mortality from emphysema (0.1399, P<0.001) and pneumonia (0.0698, P<0.001), and associations between changes of CO levels and asthma mortality (0.0004, P<0.05) were also significant in the sensitivity analysis. The association between CO and pneumonia mortality was also significant when analysis was performed on a county level (0.0002, P<0.001). Recall that this association was significant in the analysis using state-level data in two cases: when being corrected for changes of ICD codes and when only underlying causes of deaths were considered as contributing to the cause-specific death (see detailed results in Table S1). The effects of dynamics of SO2 and PM10 on asthma mortality became nonsignificant (P>0.05), likely due to the small number of county-specific asthma deaths and due to the large fraction of zeroth death rates that were not successfully described by Equation 1.\nThe sensitivity analysis demonstrated good stability of obtained results (see Table S1 for detailed information). In the sensitivity analysis, the association between pneumonia mortality and CO levels became significant (P=0.0655 in main versus P<0.0001 in sensitivity analysis) when pneumonia was analyzed as an underlying cause of death. Recent studies have demonstrated that separation of comorbid conditions to underlying and secondary causes can be unreliable;23–25 however, for certain diseases with a predominantly acute course (eg, pneumonia), that may not be the case, and additional information can also be obtained from analysis of underlying causes of death. In addition, sensitivity analysis showed that during summer decreased mortality from emphysema was associated with lower levels of PM10 (P=0.2554 in main versus P=0.017 in sensitivity analysis), and statistical significance was observed for associations between pneumonia mortality and CO levels when ICD code changes were taken into account (P=0.0655 in main versus P=0.018 in sensitivity analysis).\nA county-level analysis also demonstrated the stability of most observations in the main analysis. Among associations that were significant under Bonferroni correction in the main analysis, associations between dynamics of SO2 and mortality from emphysema (0.1399, P<0.001) and pneumonia (0.0698, P<0.001), and associations between changes of CO levels and asthma mortality (0.0004, P<0.05) were also significant in the sensitivity analysis. The association between CO and pneumonia mortality was also significant when analysis was performed on a county level (0.0002, P<0.001). Recall that this association was significant in the analysis using state-level data in two cases: when being corrected for changes of ICD codes and when only underlying causes of deaths were considered as contributing to the cause-specific death (see detailed results in Table S1). The effects of dynamics of SO2 and PM10 on asthma mortality became nonsignificant (P>0.05), likely due to the small number of county-specific asthma deaths and due to the large fraction of zeroth death rates that were not successfully described by Equation 1.", "The sensitivity analysis demonstrated good stability of obtained results (see Table S1 for detailed information). In the sensitivity analysis, the association between pneumonia mortality and CO levels became significant (P=0.0655 in main versus P<0.0001 in sensitivity analysis) when pneumonia was analyzed as an underlying cause of death. Recent studies have demonstrated that separation of comorbid conditions to underlying and secondary causes can be unreliable;23–25 however, for certain diseases with a predominantly acute course (eg, pneumonia), that may not be the case, and additional information can also be obtained from analysis of underlying causes of death. In addition, sensitivity analysis showed that during summer decreased mortality from emphysema was associated with lower levels of PM10 (P=0.2554 in main versus P=0.017 in sensitivity analysis), and statistical significance was observed for associations between pneumonia mortality and CO levels when ICD code changes were taken into account (P=0.0655 in main versus P=0.018 in sensitivity analysis).\nA county-level analysis also demonstrated the stability of most observations in the main analysis. Among associations that were significant under Bonferroni correction in the main analysis, associations between dynamics of SO2 and mortality from emphysema (0.1399, P<0.001) and pneumonia (0.0698, P<0.001), and associations between changes of CO levels and asthma mortality (0.0004, P<0.05) were also significant in the sensitivity analysis. The association between CO and pneumonia mortality was also significant when analysis was performed on a county level (0.0002, P<0.001). Recall that this association was significant in the analysis using state-level data in two cases: when being corrected for changes of ICD codes and when only underlying causes of deaths were considered as contributing to the cause-specific death (see detailed results in Table S1). The effects of dynamics of SO2 and PM10 on asthma mortality became nonsignificant (P>0.05), likely due to the small number of county-specific asthma deaths and due to the large fraction of zeroth death rates that were not successfully described by Equation 1.", "We found significant correlations between reduction of air pollutants and dynamics of deaths due to respiratory diseases during the period we studied. We need to contextualize these findings, particularly in regard to the multifactorial contributors to respiratory mortality. In general, COPD has been shown to correlate highly with air pollution linked to global urbanization,26 eg, higher prevalence of chronic bronchitis (odds ratio [OR] 2.26, confidence interval [CI] 1.54–3.31), asthma (OR 1.57, CI 1.25–1.98), and emphysema (OR 2.98, CI 1.95–4.54) were observed in the meta-analyses of individuals exposed to urban air.27 Little is known about whether chronic, low-dose exposure to ambient air pollutants can exacerbate COPD progression.28,29 Several recent studies related respiratory symptoms to long-term rather than short-term effects of ambient particles,30 with the long-term exposure to PM10 increasing the risk of COPD.31\nChanging air quality in North Carolina could be a good example of analysis of the trends of both improved air quality and respiratory mortality over almost two decades of observations. Improved air quality in North Carolina since the mid-1990s is related to a series of federal and state acts and regulations (see Table 4), including the national heavy-duty truck engine standards, reduction of NOx emissions, the Clean Smokestacks Act, and new engine standards. Regulations of emissions of NOx, PM10, and CO appeared to be very effective in improving air quality in the state. Observed seasonal fluctuations of air-pollutants levels could be due to season-dependent local dispersive conditions, breeze dynamics, differences in concentration process (eg, caused by the thinning of the air mixing layer in winter), and season-specific higher formation of certain compounds, eg, higher nitrate formation in the cold season leads to higher levels of NOx in the air.32 Higher PM levels observed in North Carolina during the summer are of additional concern for health effects being exacerbated by hot humid weather, especially during heat waves.33 For respiratory mortality, no threshold effect has been identified;34,35 therefore, detailed economic analysis is required to evaluate the expenses and benefits of keeping the levels of air pollutants extra low. For current regulations in the US, it has been shown that control of PM2.5 emissions could result in $100 billion of benefits annually.36\n Air quality and emphysema In our study, the association between reduced levels of ozone, SO2, NO2, CO, and PM2.5 and decreased mortality from emphysema were observed, with associations for SO2 and CO remaining significant under Bonferroni correction. In other studies, emphysema outcomes were usually analyzed as a part of COPD; nonetheless, our findings on emphysema are in general agreement with these publications. For example, higher prevalence of visits to emergency departments for COPD and emphysema have been observed for higher SO2 levels37 (especially among older adults38); however, some studies showed that these associations may be attributable to SO2 serving as a surrogate of other substances.39 Few studies are available on the effects of outdoor CO on COPD.40,41 Our results on associations between lower CO levels and lower emphysema mortality are in agreement with studies that showed increased morbidity and mortality risks among patients with COPD.42–45 Note that the impacts of CO could be effectively minimized by controlling transportation activities, which accounts for more than three-quarters of CO emissions in the US.42,46 While in our study associations with PM2.5 became nonsignificant under Bonferroni correction, in other studies higher levels of PM2.5 have been associated with higher admissions for COPD exacerbation47 and with increased COPD mortality.48–50 These differences could be due to the fact that the aforementioned studies were performed outside the US, had different patterns of seasonal fluctuations of PM levels in the air, and also were focused on specific populations (ie, older adults).\nIn our study, the association between reduced levels of ozone, SO2, NO2, CO, and PM2.5 and decreased mortality from emphysema were observed, with associations for SO2 and CO remaining significant under Bonferroni correction. In other studies, emphysema outcomes were usually analyzed as a part of COPD; nonetheless, our findings on emphysema are in general agreement with these publications. For example, higher prevalence of visits to emergency departments for COPD and emphysema have been observed for higher SO2 levels37 (especially among older adults38); however, some studies showed that these associations may be attributable to SO2 serving as a surrogate of other substances.39 Few studies are available on the effects of outdoor CO on COPD.40,41 Our results on associations between lower CO levels and lower emphysema mortality are in agreement with studies that showed increased morbidity and mortality risks among patients with COPD.42–45 Note that the impacts of CO could be effectively minimized by controlling transportation activities, which accounts for more than three-quarters of CO emissions in the US.42,46 While in our study associations with PM2.5 became nonsignificant under Bonferroni correction, in other studies higher levels of PM2.5 have been associated with higher admissions for COPD exacerbation47 and with increased COPD mortality.48–50 These differences could be due to the fact that the aforementioned studies were performed outside the US, had different patterns of seasonal fluctuations of PM levels in the air, and also were focused on specific populations (ie, older adults).\n Air quality and asthma We observed decreasing asthma mortality associated with lower levels of NO2, SO2, CO, and PM10, with the latter three pollutants remaining significant under Bonferroni correction. These results are in agreement with other studies. For example, correlations have been reported between asthma mortality and SO251 and NO252–56 levels, and between asthma severity (in children) and CO levels.43,44,57 Other studies reported that asthma mortality decreased earlier in response to improvement of air quality (eg, when compared to emphysema or chronic bronchitis),51 with a decrease of asthma deaths occurring approximately 5 years earlier.\nThe effects of PMs on respiratory health and, in particular, on asthma have been studied predominantly for associations with prevalence of respiratory symptoms58–60 and emergency department visits or hospital admissions.28,61–63 It has been shown that asthma symptoms were exacerbated even at PMs concentrations being 60% below the safety limits for PMs (ie, that supposed not to affect the healthy population).64 However, information on associations of asthma mortality with long-term exposure to PMs is sparse. In our study, reduction of PM10 (and its seasonal fluctuations) was associated with decreased asthma mortality in North Carolina. Previous studies on PM10 showed that elevated levels of PM10 were correlated with hospital admissions for asthma among patients aged 65+ years65 and children,44,57 and also with increased use of asthma medications among patients aged from 8 to 72 years old.66\nBecause air-quality and asthma-aggravation associations are reported from the studies typically performed in a single geographic region over a single season, individual study results may not be applicable to different populations and to longer weather/season cycles.43 Also, different components of PMs (eg, sulfates, nitrates, organic chemicals, metals, and soil or dust particles)12 may have different effects on the respiratory system.16,34,67 This makes comparisons between the studies challenging and may explain the diversity of results on health effects of PMs on both geographic and temporal scales.68\nWe observed decreasing asthma mortality associated with lower levels of NO2, SO2, CO, and PM10, with the latter three pollutants remaining significant under Bonferroni correction. These results are in agreement with other studies. For example, correlations have been reported between asthma mortality and SO251 and NO252–56 levels, and between asthma severity (in children) and CO levels.43,44,57 Other studies reported that asthma mortality decreased earlier in response to improvement of air quality (eg, when compared to emphysema or chronic bronchitis),51 with a decrease of asthma deaths occurring approximately 5 years earlier.\nThe effects of PMs on respiratory health and, in particular, on asthma have been studied predominantly for associations with prevalence of respiratory symptoms58–60 and emergency department visits or hospital admissions.28,61–63 It has been shown that asthma symptoms were exacerbated even at PMs concentrations being 60% below the safety limits for PMs (ie, that supposed not to affect the healthy population).64 However, information on associations of asthma mortality with long-term exposure to PMs is sparse. In our study, reduction of PM10 (and its seasonal fluctuations) was associated with decreased asthma mortality in North Carolina. Previous studies on PM10 showed that elevated levels of PM10 were correlated with hospital admissions for asthma among patients aged 65+ years65 and children,44,57 and also with increased use of asthma medications among patients aged from 8 to 72 years old.66\nBecause air-quality and asthma-aggravation associations are reported from the studies typically performed in a single geographic region over a single season, individual study results may not be applicable to different populations and to longer weather/season cycles.43 Also, different components of PMs (eg, sulfates, nitrates, organic chemicals, metals, and soil or dust particles)12 may have different effects on the respiratory system.16,34,67 This makes comparisons between the studies challenging and may explain the diversity of results on health effects of PMs on both geographic and temporal scales.68\n Air quality and pneumonia In our study, a decrease in pneumonia deaths was associated with decreasing SO2 levels. Also, when pneumonia was considered as the underlying cause of death, lower pneumonia death rates were observed for lower CO levels. Some studies have linked an acute respiratory disease with higher levels of SO2 pollution, independently of cigarette smoking,69 while later studies have not confirmed these associations (however, some results were sensitive to the methods used to estimate air-pollutant levels).70,71 For CO, an association has been reported between its increased concentrations and higher pneumonia hospitalization.45\nWhile some epidemiological and experimental studies have suggested relationships between NO2, ozone, and PMs and increased risk for viral respiratory infections,72 we did not find these associations in our study. Our results are in agreement with another study that did not find positive associations between PMs and pneumonia deaths (they found associations only for the group of never-smokers).73 However, most of the studies were performed on pneumonia morbidity (including hospitalizations and emergency department visits), while our study was on mortality. Also, multiple reports on associations between pneumonia risk and PMs levels come from international studies, eg, from Europe (where PMs levels peak in winter), while on the East Coast of the US they typically peak in summer,74 as we also observed in our study. While pneumonia is more frequent in late fall and winter, the relationships between outdoor air quality and health are supposed to be stronger in summer, when people spend more time outdoors. A study from Boston also supports our findings: no associations with pneumonia hospital admissions were found in summer, while in winter the largest effect on pneumonia morbidity was reported not for PMs but for black carbon (a surrogate for traffic particles: 14.3% increase of pneumonia hospitalizations for 1.7 μg/m3 increase of black carbon).45 Higher risk of morbidity and mortality from acute respiratory infections has been also reported for children exposed to PM10.22,75–85 In our study, we did not estimate mortality risks specifically for children; future studies will be performed for age-groups that are potentially at highest risk (ie, children and older adults).\nIn our study, a decrease in pneumonia deaths was associated with decreasing SO2 levels. Also, when pneumonia was considered as the underlying cause of death, lower pneumonia death rates were observed for lower CO levels. Some studies have linked an acute respiratory disease with higher levels of SO2 pollution, independently of cigarette smoking,69 while later studies have not confirmed these associations (however, some results were sensitive to the methods used to estimate air-pollutant levels).70,71 For CO, an association has been reported between its increased concentrations and higher pneumonia hospitalization.45\nWhile some epidemiological and experimental studies have suggested relationships between NO2, ozone, and PMs and increased risk for viral respiratory infections,72 we did not find these associations in our study. Our results are in agreement with another study that did not find positive associations between PMs and pneumonia deaths (they found associations only for the group of never-smokers).73 However, most of the studies were performed on pneumonia morbidity (including hospitalizations and emergency department visits), while our study was on mortality. Also, multiple reports on associations between pneumonia risk and PMs levels come from international studies, eg, from Europe (where PMs levels peak in winter), while on the East Coast of the US they typically peak in summer,74 as we also observed in our study. While pneumonia is more frequent in late fall and winter, the relationships between outdoor air quality and health are supposed to be stronger in summer, when people spend more time outdoors. A study from Boston also supports our findings: no associations with pneumonia hospital admissions were found in summer, while in winter the largest effect on pneumonia morbidity was reported not for PMs but for black carbon (a surrogate for traffic particles: 14.3% increase of pneumonia hospitalizations for 1.7 μg/m3 increase of black carbon).45 Higher risk of morbidity and mortality from acute respiratory infections has been also reported for children exposed to PM10.22,75–85 In our study, we did not estimate mortality risks specifically for children; future studies will be performed for age-groups that are potentially at highest risk (ie, children and older adults).\n Methodological aspects and study limitations In our approach, the number of observations sufficient to estimate model parameters was achieved by incorporating monthly changes of air-pollutant levels and respiratory mortality. One advantage of this approach is that the unobserved heterogeneity due to other factors (such as socioeconomic status, quality of health care, migration) is minimal, because these factors do not essentially vary from month to month. In contrast, this unobserved heterogeneity is typical for ecological studies with area-based design, and could result in the occurrence of additional biases if these variables are not sufficiently controlled.\nOne example of such a factor is the time trend describing improvements in the treatment of respiratory disease that occurred during the recent two decades and which contributed to decreasing trends of mortality from emphysema, asthma, and pneumonia. Both improved air quality and vaccinations against pneumonia could lead to fewer hospital admissions, eg, pneumonia age-adjusted death rates started declining in the late 1990s, while the hospital discharge rate did not change significantly for patients older than 15 years.86–88 Although our approach with measurements at the month level minimizes the bias from this time trend (because only a 12th of our measurements reflect the annual time trend), improvements in treatment (as well as factors other than air pollution and smoking with significant time trends) should be taken into account in further studies. For example, further analysis of disease-specific visits to emergency departments would be important to validate the role of improved medical care in observed respiratory disease trends.\nOther factors, such as changes in socioeconomic status, can also impact the dynamics of disease-specific mortality rates. However, it has been reported that for social factors, as well as for race, the effects of modification, eg, of PMs (ie, PM10) on total mortality were weak.20\nIn our study, the time pattern of smoking was chosen to reflect annual trends in respiratory mortality in addition to air pollution. Inclusion of one additional variable measured annually (ie, not on a monthly basis) could result in difficulty in distinguishing the effect of this variable and smoking. Smoking was chosen because its patterns are concordant with patterns of respiratory mortality, and because of many substantive results on the role of smoking in respiratory mortality (eg, findings that both smoking and exposure to air pollutants [eg, PM2.5] could exacerbate respiratory diseases).28,73 In our study, smoking had a significant stable effect on the dynamics of respiratory mortality from all three studied diseases. However, it can also reflect possible impacts of other variables with similar to smoking time trends and associations with respiratory mortality. Better evaluation of smoking effects (including synergistic effects of smoking and air pollutants) could be achieved in studies with individual records on smoking status.\nStudy designs based on individual measurements of environmental exposure and health outcomes (which are classic epidemiologic approaches) would be helpful for improvement of the quality of estimates. However, such approaches are expensive and complex, in part due to the difficulty of measuring subjects’ exposure to the relatively low levels of pollutants in the air. Some studies on the use of outdoor monitoring-station data (compared with the personal indoor/outdoor-exposure monitors) demonstrated that personal exposure to pollutants of outdoor origin was more closely related to outdoor air-pollutant levels than interpretations of personal monitoring data.58,89 Furthermore, the frequently high correlations between levels of certain pollutants in the air also make it difficult to identify the impact of a single agent on human health.17\nChanges in diagnostic criteria of respiratory diseases that happened during last two decades primarily affected the trends of disease incidence; however, in part, mortality trends were also affected. In children, diagnoses can transfer from chronic bronchitis and pneumonia to asthma, thus contributing to increasing trends in asthma prevalence (with its recent stabilization) and health care utilization.90 If the person dies from pneumonia, but also had an underlying condition of which the pneumonia was probably a result, than that underlying disease but not pneumonia is considered the cause of death in the death certificate, and thus fewer deaths are directly attributable to pneumonia.86 Although asthma death rates increased from 1980 to the mid-1990s, replaced ICD codes from the ninth to the tenth revision makes it challenging to evaluate the decline in asthma mortality since the late-1990s.91,92 With regard to this problem, it has been shown that decline in asthma mortality that occurred from 1998 to 1999 included approximately 11% of decline that resulted from the changes during the ICD codes transition; then, under ICD-10, asthma death rates continued declining.91 Because no definitive asthma laboratory tests exist, asthma estimates rely on the physician, who also should accurately attribute the cause of death to asthma; therefore, the reliability of the death certificates has been questioned (eg, for the chance of misreporting the cause of death in older persons with comorbid conditions). Large well-designed studies have concluded that asthma death coding has 99% specificity and low sensitivity (42%), and asthma as a cause of death was underreported in preference to COPD in all age-groups.91,93\nIn our approach, the number of observations sufficient to estimate model parameters was achieved by incorporating monthly changes of air-pollutant levels and respiratory mortality. One advantage of this approach is that the unobserved heterogeneity due to other factors (such as socioeconomic status, quality of health care, migration) is minimal, because these factors do not essentially vary from month to month. In contrast, this unobserved heterogeneity is typical for ecological studies with area-based design, and could result in the occurrence of additional biases if these variables are not sufficiently controlled.\nOne example of such a factor is the time trend describing improvements in the treatment of respiratory disease that occurred during the recent two decades and which contributed to decreasing trends of mortality from emphysema, asthma, and pneumonia. Both improved air quality and vaccinations against pneumonia could lead to fewer hospital admissions, eg, pneumonia age-adjusted death rates started declining in the late 1990s, while the hospital discharge rate did not change significantly for patients older than 15 years.86–88 Although our approach with measurements at the month level minimizes the bias from this time trend (because only a 12th of our measurements reflect the annual time trend), improvements in treatment (as well as factors other than air pollution and smoking with significant time trends) should be taken into account in further studies. For example, further analysis of disease-specific visits to emergency departments would be important to validate the role of improved medical care in observed respiratory disease trends.\nOther factors, such as changes in socioeconomic status, can also impact the dynamics of disease-specific mortality rates. However, it has been reported that for social factors, as well as for race, the effects of modification, eg, of PMs (ie, PM10) on total mortality were weak.20\nIn our study, the time pattern of smoking was chosen to reflect annual trends in respiratory mortality in addition to air pollution. Inclusion of one additional variable measured annually (ie, not on a monthly basis) could result in difficulty in distinguishing the effect of this variable and smoking. Smoking was chosen because its patterns are concordant with patterns of respiratory mortality, and because of many substantive results on the role of smoking in respiratory mortality (eg, findings that both smoking and exposure to air pollutants [eg, PM2.5] could exacerbate respiratory diseases).28,73 In our study, smoking had a significant stable effect on the dynamics of respiratory mortality from all three studied diseases. However, it can also reflect possible impacts of other variables with similar to smoking time trends and associations with respiratory mortality. Better evaluation of smoking effects (including synergistic effects of smoking and air pollutants) could be achieved in studies with individual records on smoking status.\nStudy designs based on individual measurements of environmental exposure and health outcomes (which are classic epidemiologic approaches) would be helpful for improvement of the quality of estimates. However, such approaches are expensive and complex, in part due to the difficulty of measuring subjects’ exposure to the relatively low levels of pollutants in the air. Some studies on the use of outdoor monitoring-station data (compared with the personal indoor/outdoor-exposure monitors) demonstrated that personal exposure to pollutants of outdoor origin was more closely related to outdoor air-pollutant levels than interpretations of personal monitoring data.58,89 Furthermore, the frequently high correlations between levels of certain pollutants in the air also make it difficult to identify the impact of a single agent on human health.17\nChanges in diagnostic criteria of respiratory diseases that happened during last two decades primarily affected the trends of disease incidence; however, in part, mortality trends were also affected. In children, diagnoses can transfer from chronic bronchitis and pneumonia to asthma, thus contributing to increasing trends in asthma prevalence (with its recent stabilization) and health care utilization.90 If the person dies from pneumonia, but also had an underlying condition of which the pneumonia was probably a result, than that underlying disease but not pneumonia is considered the cause of death in the death certificate, and thus fewer deaths are directly attributable to pneumonia.86 Although asthma death rates increased from 1980 to the mid-1990s, replaced ICD codes from the ninth to the tenth revision makes it challenging to evaluate the decline in asthma mortality since the late-1990s.91,92 With regard to this problem, it has been shown that decline in asthma mortality that occurred from 1998 to 1999 included approximately 11% of decline that resulted from the changes during the ICD codes transition; then, under ICD-10, asthma death rates continued declining.91 Because no definitive asthma laboratory tests exist, asthma estimates rely on the physician, who also should accurately attribute the cause of death to asthma; therefore, the reliability of the death certificates has been questioned (eg, for the chance of misreporting the cause of death in older persons with comorbid conditions). Large well-designed studies have concluded that asthma death coding has 99% specificity and low sensitivity (42%), and asthma as a cause of death was underreported in preference to COPD in all age-groups.91,93", "In our study, the association between reduced levels of ozone, SO2, NO2, CO, and PM2.5 and decreased mortality from emphysema were observed, with associations for SO2 and CO remaining significant under Bonferroni correction. In other studies, emphysema outcomes were usually analyzed as a part of COPD; nonetheless, our findings on emphysema are in general agreement with these publications. For example, higher prevalence of visits to emergency departments for COPD and emphysema have been observed for higher SO2 levels37 (especially among older adults38); however, some studies showed that these associations may be attributable to SO2 serving as a surrogate of other substances.39 Few studies are available on the effects of outdoor CO on COPD.40,41 Our results on associations between lower CO levels and lower emphysema mortality are in agreement with studies that showed increased morbidity and mortality risks among patients with COPD.42–45 Note that the impacts of CO could be effectively minimized by controlling transportation activities, which accounts for more than three-quarters of CO emissions in the US.42,46 While in our study associations with PM2.5 became nonsignificant under Bonferroni correction, in other studies higher levels of PM2.5 have been associated with higher admissions for COPD exacerbation47 and with increased COPD mortality.48–50 These differences could be due to the fact that the aforementioned studies were performed outside the US, had different patterns of seasonal fluctuations of PM levels in the air, and also were focused on specific populations (ie, older adults).", "We observed decreasing asthma mortality associated with lower levels of NO2, SO2, CO, and PM10, with the latter three pollutants remaining significant under Bonferroni correction. These results are in agreement with other studies. For example, correlations have been reported between asthma mortality and SO251 and NO252–56 levels, and between asthma severity (in children) and CO levels.43,44,57 Other studies reported that asthma mortality decreased earlier in response to improvement of air quality (eg, when compared to emphysema or chronic bronchitis),51 with a decrease of asthma deaths occurring approximately 5 years earlier.\nThe effects of PMs on respiratory health and, in particular, on asthma have been studied predominantly for associations with prevalence of respiratory symptoms58–60 and emergency department visits or hospital admissions.28,61–63 It has been shown that asthma symptoms were exacerbated even at PMs concentrations being 60% below the safety limits for PMs (ie, that supposed not to affect the healthy population).64 However, information on associations of asthma mortality with long-term exposure to PMs is sparse. In our study, reduction of PM10 (and its seasonal fluctuations) was associated with decreased asthma mortality in North Carolina. Previous studies on PM10 showed that elevated levels of PM10 were correlated with hospital admissions for asthma among patients aged 65+ years65 and children,44,57 and also with increased use of asthma medications among patients aged from 8 to 72 years old.66\nBecause air-quality and asthma-aggravation associations are reported from the studies typically performed in a single geographic region over a single season, individual study results may not be applicable to different populations and to longer weather/season cycles.43 Also, different components of PMs (eg, sulfates, nitrates, organic chemicals, metals, and soil or dust particles)12 may have different effects on the respiratory system.16,34,67 This makes comparisons between the studies challenging and may explain the diversity of results on health effects of PMs on both geographic and temporal scales.68", "In our study, a decrease in pneumonia deaths was associated with decreasing SO2 levels. Also, when pneumonia was considered as the underlying cause of death, lower pneumonia death rates were observed for lower CO levels. Some studies have linked an acute respiratory disease with higher levels of SO2 pollution, independently of cigarette smoking,69 while later studies have not confirmed these associations (however, some results were sensitive to the methods used to estimate air-pollutant levels).70,71 For CO, an association has been reported between its increased concentrations and higher pneumonia hospitalization.45\nWhile some epidemiological and experimental studies have suggested relationships between NO2, ozone, and PMs and increased risk for viral respiratory infections,72 we did not find these associations in our study. Our results are in agreement with another study that did not find positive associations between PMs and pneumonia deaths (they found associations only for the group of never-smokers).73 However, most of the studies were performed on pneumonia morbidity (including hospitalizations and emergency department visits), while our study was on mortality. Also, multiple reports on associations between pneumonia risk and PMs levels come from international studies, eg, from Europe (where PMs levels peak in winter), while on the East Coast of the US they typically peak in summer,74 as we also observed in our study. While pneumonia is more frequent in late fall and winter, the relationships between outdoor air quality and health are supposed to be stronger in summer, when people spend more time outdoors. A study from Boston also supports our findings: no associations with pneumonia hospital admissions were found in summer, while in winter the largest effect on pneumonia morbidity was reported not for PMs but for black carbon (a surrogate for traffic particles: 14.3% increase of pneumonia hospitalizations for 1.7 μg/m3 increase of black carbon).45 Higher risk of morbidity and mortality from acute respiratory infections has been also reported for children exposed to PM10.22,75–85 In our study, we did not estimate mortality risks specifically for children; future studies will be performed for age-groups that are potentially at highest risk (ie, children and older adults).", "In our approach, the number of observations sufficient to estimate model parameters was achieved by incorporating monthly changes of air-pollutant levels and respiratory mortality. One advantage of this approach is that the unobserved heterogeneity due to other factors (such as socioeconomic status, quality of health care, migration) is minimal, because these factors do not essentially vary from month to month. In contrast, this unobserved heterogeneity is typical for ecological studies with area-based design, and could result in the occurrence of additional biases if these variables are not sufficiently controlled.\nOne example of such a factor is the time trend describing improvements in the treatment of respiratory disease that occurred during the recent two decades and which contributed to decreasing trends of mortality from emphysema, asthma, and pneumonia. Both improved air quality and vaccinations against pneumonia could lead to fewer hospital admissions, eg, pneumonia age-adjusted death rates started declining in the late 1990s, while the hospital discharge rate did not change significantly for patients older than 15 years.86–88 Although our approach with measurements at the month level minimizes the bias from this time trend (because only a 12th of our measurements reflect the annual time trend), improvements in treatment (as well as factors other than air pollution and smoking with significant time trends) should be taken into account in further studies. For example, further analysis of disease-specific visits to emergency departments would be important to validate the role of improved medical care in observed respiratory disease trends.\nOther factors, such as changes in socioeconomic status, can also impact the dynamics of disease-specific mortality rates. However, it has been reported that for social factors, as well as for race, the effects of modification, eg, of PMs (ie, PM10) on total mortality were weak.20\nIn our study, the time pattern of smoking was chosen to reflect annual trends in respiratory mortality in addition to air pollution. Inclusion of one additional variable measured annually (ie, not on a monthly basis) could result in difficulty in distinguishing the effect of this variable and smoking. Smoking was chosen because its patterns are concordant with patterns of respiratory mortality, and because of many substantive results on the role of smoking in respiratory mortality (eg, findings that both smoking and exposure to air pollutants [eg, PM2.5] could exacerbate respiratory diseases).28,73 In our study, smoking had a significant stable effect on the dynamics of respiratory mortality from all three studied diseases. However, it can also reflect possible impacts of other variables with similar to smoking time trends and associations with respiratory mortality. Better evaluation of smoking effects (including synergistic effects of smoking and air pollutants) could be achieved in studies with individual records on smoking status.\nStudy designs based on individual measurements of environmental exposure and health outcomes (which are classic epidemiologic approaches) would be helpful for improvement of the quality of estimates. However, such approaches are expensive and complex, in part due to the difficulty of measuring subjects’ exposure to the relatively low levels of pollutants in the air. Some studies on the use of outdoor monitoring-station data (compared with the personal indoor/outdoor-exposure monitors) demonstrated that personal exposure to pollutants of outdoor origin was more closely related to outdoor air-pollutant levels than interpretations of personal monitoring data.58,89 Furthermore, the frequently high correlations between levels of certain pollutants in the air also make it difficult to identify the impact of a single agent on human health.17\nChanges in diagnostic criteria of respiratory diseases that happened during last two decades primarily affected the trends of disease incidence; however, in part, mortality trends were also affected. In children, diagnoses can transfer from chronic bronchitis and pneumonia to asthma, thus contributing to increasing trends in asthma prevalence (with its recent stabilization) and health care utilization.90 If the person dies from pneumonia, but also had an underlying condition of which the pneumonia was probably a result, than that underlying disease but not pneumonia is considered the cause of death in the death certificate, and thus fewer deaths are directly attributable to pneumonia.86 Although asthma death rates increased from 1980 to the mid-1990s, replaced ICD codes from the ninth to the tenth revision makes it challenging to evaluate the decline in asthma mortality since the late-1990s.91,92 With regard to this problem, it has been shown that decline in asthma mortality that occurred from 1998 to 1999 included approximately 11% of decline that resulted from the changes during the ICD codes transition; then, under ICD-10, asthma death rates continued declining.91 Because no definitive asthma laboratory tests exist, asthma estimates rely on the physician, who also should accurately attribute the cause of death to asthma; therefore, the reliability of the death certificates has been questioned (eg, for the chance of misreporting the cause of death in older persons with comorbid conditions). Large well-designed studies have concluded that asthma death coding has 99% specificity and low sensitivity (42%), and asthma as a cause of death was underreported in preference to COPD in all age-groups.91,93", "We observed temporal regional associations between long-term dynamics of decreasing death rates of emphysema, asthma, and pneumonia and reductions of the levels of certain air pollutants in North Carolina. Our results support the hypothesis that improvement in air quality, especially declines in SO2, CO, and PM10 levels in the air, contributed to the improved respiratory health of the North Carolina population. Since other factors (in addition to the studied air pollutants) might also account for improved health outcomes, ultimately caution should be exercised in inferring cause–effect relations.", "Results of the sensitivity analysis\nNotes: The following factors were tested: the potential effect of International Classification of Diseases (ICD) code changes (from ICD-9 to ICD-10) (analysis 1), the effects of air pollutants on mortality during the summer (analysis 2) and winter (analysis 3), and the association when only underlying causes of death contributed to the cause-specific death rates (analysis 4).\nAbbreviation: PM, particulate matter." ]
[ "intro", "materials|methods", "methods", null, "methods", "methods", "results", "methods", "discussion", null, null, null, "methods", null, "supplementary-material" ]
[ "chronic obstructive pulmonary disease", "sulfur dioxide", "carbon monoxide", "nitrogen dioxide", "particulate matter" ]
Introduction: Air pollution has a deleterious impact on human health,1–6 with global outdoor air pollutants estimated to account for approximately 1.4% of total mortality and 2% of all cardiopulmonary mortality.7 Both ambient particles4,8,9 and such gases as nitrogen dioxide (NO2), ozone (O3), and carbon monoxide (CO) have been shown to increase total, cardiovascular, and respiratory (predominantly due to lung cancer and chronic obstructive pulmonary disease [COPD]) mortality and morbidity.3,10,11 While the impact on any individual’s risk of death has been thought to be relatively modest per se, the overall impact of air pollution on the health of an exposed population makes it a major public health concern.12 While more studies on short-term impacts of changes of air quality are available (such as the legislated traffic holidays during the 1996 Atlanta Olympic Games13 and the 2008 Beijing Olympic Games14), less is known about the long-term effects of changing air quality on the health of exposed populations. For example, a ban on heating-coal sales in Dublin was thought to be associated with both reduced pollution from airborne particulate matters (PMs) and 5.7% reduction in all-cause, 15.5% reduction in respiratory, and 10.3% reduction in cardiovascular mortality.15 However, these results were considered inconclusive, due to the complexity and expense of evaluating the health effects of air pollution on populations.16,17 Since the 1990s, a variety of acts, standards, and requirements in the US have been adopted to improve air quality. For example, increasingly stringent national gasoline and automotive engine requirements have been applied, resulting in a decrease of CO, NOx, PM, and volatile organic compounds in the air. At the state level, North Carolina in 1992 entered into the Southern Appalachian Mountains Initiative, leading to the development of the Clean Smokestacks Act18 to mandate reduced emissions from coal-fired power plants.19 While few studies have analyzed the associations of both air quality and health over a long period, and they were typically limited to analysis of a specific air pollutant or a couple of pollutants, we were able to study longitudinally a number of air contaminants, including both PMs and noxious gases. In addition, we analyzed both air quality and health outcomes over almost two decades (1993–2010). Because respiratory morbidity and mortality are affected by changes in air quality,20–22 we evaluated the associations between the changes of the levels of PM10 and PM2.5, ozone, CO, NO2, and SO2 in the air and death rates of emphysema, asthma, and pneumonia. Materials and methods: Data We analyzed mortality rates for emphysema (International Classification of Diseases [ICD]-9 code 492, ICD-10 code J43), asthma (ICD-9 code 493, ICD-10 codes J45, J46), and pneumonia (ICD-9 codes 480.0, 480.1, 480.2, 480.9, 485, 486, 487.0, 487.1, ICD-10 codes J11.00, J11.1, J12.0, J12.1, J12.2, J12.9, J18.0, J18.9) in North Carolina from 1983 to 2010 using the data from the Vital Statistics National Center for Health Statistics Multiple Cause of Death dataset. We started the mortality analysis with the data from 1983, but could only analyze air quality when monitoring data were available, ie, 1993–2010. The mortality data enabled an analysis of a longer period of death-rate dynamics, thus allowing to observe the dynamics of disease-specific mortality before the measured reduction in particulate and gaseous emissions in North Carolina. Age-adjusted death rates (per 100,000 of population) were calculated using 5-year age-groups and standard 2000 North Carolina population. The data on population were provided by the Surveillance Epidemiology and End Results Registry (SEER) at http://www.seer.cancer.gov/popdata/download.html. Data on concentrations of PM2.5 (μg/m3), PM (μg/m3 10), ozone (ppb), CO (ppb), NO2 (ppb), and SO2 (ppb) in the air in 1993–2010 were obtained from the US Environmental Protection Agency (EPA) (http://www.epa.gov/ttn/airs/airsaqs/detaildata/downloadaqsdata.htm). We used the averaged month-specific concentrations of air pollutants for North Carolina to further analyze them for associations with the dynamics of cause-specific monthly mortality in the state. A two-stage averaging procedure was used to avoid heterogeneity in the numbers of measurements made in certain days of the month: first, we calculated the day-specific means, and then these values were averaged, resulting in month-specific means. Negative values were excluded, and measurements with various units were converted to μg/m3 for PM2.5 and PM10, and to ppb for ozone, CO, NO2, and SO2. Since the data on air pollutants represented different methods of registration during different durations of sample collection (ie, the length of time used to acquire a sample measurement), an auxiliary analysis was performed to check whether the specific method could be considered as an outlier and therefore excluded from the analyses. Also, data on the prevalence of tobacco use for 1995–2010 were obtained from the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System survey for age–groups 18–24, 25–34, 35–44, 45–54, 55–64, and 65+ years (http://www.cdc.gov/brfss). We analyzed mortality rates for emphysema (International Classification of Diseases [ICD]-9 code 492, ICD-10 code J43), asthma (ICD-9 code 493, ICD-10 codes J45, J46), and pneumonia (ICD-9 codes 480.0, 480.1, 480.2, 480.9, 485, 486, 487.0, 487.1, ICD-10 codes J11.00, J11.1, J12.0, J12.1, J12.2, J12.9, J18.0, J18.9) in North Carolina from 1983 to 2010 using the data from the Vital Statistics National Center for Health Statistics Multiple Cause of Death dataset. We started the mortality analysis with the data from 1983, but could only analyze air quality when monitoring data were available, ie, 1993–2010. The mortality data enabled an analysis of a longer period of death-rate dynamics, thus allowing to observe the dynamics of disease-specific mortality before the measured reduction in particulate and gaseous emissions in North Carolina. Age-adjusted death rates (per 100,000 of population) were calculated using 5-year age-groups and standard 2000 North Carolina population. The data on population were provided by the Surveillance Epidemiology and End Results Registry (SEER) at http://www.seer.cancer.gov/popdata/download.html. Data on concentrations of PM2.5 (μg/m3), PM (μg/m3 10), ozone (ppb), CO (ppb), NO2 (ppb), and SO2 (ppb) in the air in 1993–2010 were obtained from the US Environmental Protection Agency (EPA) (http://www.epa.gov/ttn/airs/airsaqs/detaildata/downloadaqsdata.htm). We used the averaged month-specific concentrations of air pollutants for North Carolina to further analyze them for associations with the dynamics of cause-specific monthly mortality in the state. A two-stage averaging procedure was used to avoid heterogeneity in the numbers of measurements made in certain days of the month: first, we calculated the day-specific means, and then these values were averaged, resulting in month-specific means. Negative values were excluded, and measurements with various units were converted to μg/m3 for PM2.5 and PM10, and to ppb for ozone, CO, NO2, and SO2. Since the data on air pollutants represented different methods of registration during different durations of sample collection (ie, the length of time used to acquire a sample measurement), an auxiliary analysis was performed to check whether the specific method could be considered as an outlier and therefore excluded from the analyses. Also, data on the prevalence of tobacco use for 1995–2010 were obtained from the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System survey for age–groups 18–24, 25–34, 35–44, 45–54, 55–64, and 65+ years (http://www.cdc.gov/brfss). Ethics statement The data used in this study have no individual identifiable information. No specific procedures were required for de-identification of the records. All data analyses were designed and performed in accordance with the ethical standards of the committee on human experimentation and with the Helsinki Declaration (1975, revised in 1983), and were approved by the Duke University Health System Institutional Review Board. The data used in this study have no individual identifiable information. No specific procedures were required for de-identification of the records. All data analyses were designed and performed in accordance with the ethical standards of the committee on human experimentation and with the Helsinki Declaration (1975, revised in 1983), and were approved by the Duke University Health System Institutional Review Board. Methods Trends of cause-specific death rates and of levels of air contaminants were analyzed for correlations. Adjustment by smoking prevalence and seasonal fluctuations in respiratory deaths (for monthly death rates of emphysema, asthma, and pneumonia) were included in a log-linear model that was used to evaluate the associations between the level of each studied air pollutant and the death rates, as follows: where u was the intercept, β1 represented the effect of each studied air pollutant depending on its concentration (denoted by c) measured in its units (as described in the Data section), β2 represented the effect of smoking prevalence (denoted by s), μm represented the effects of 11 months (January to November for each year) in respect of December (Im is the month indicator), and ε stood for random residuals. Note that if the air-pollutant concentration changes by one unit of its measured level in the air, the rate r changes by the factor of exp(β1). For multiple comparisons, the Bonferroni correction was applied. Trends of cause-specific death rates and of levels of air contaminants were analyzed for correlations. Adjustment by smoking prevalence and seasonal fluctuations in respiratory deaths (for monthly death rates of emphysema, asthma, and pneumonia) were included in a log-linear model that was used to evaluate the associations between the level of each studied air pollutant and the death rates, as follows: where u was the intercept, β1 represented the effect of each studied air pollutant depending on its concentration (denoted by c) measured in its units (as described in the Data section), β2 represented the effect of smoking prevalence (denoted by s), μm represented the effects of 11 months (January to November for each year) in respect of December (Im is the month indicator), and ε stood for random residuals. Note that if the air-pollutant concentration changes by one unit of its measured level in the air, the rate r changes by the factor of exp(β1). For multiple comparisons, the Bonferroni correction was applied. Sensitivity analysis The potential effect of ICD code changes (from ICD-9 to ICD-10), the seasonal fluctuation of air pollutants and mortality during summer and winter, and the analysis validity when only the underlying causes of deaths contributed to the cause-specific death rates were tested. In addition, sensitivity analysis was performed for county-level data on respiratory mortality and air-pollutant levels. Only counties for which the data on air quality were directly measured by monitoring stations were included in the analysis: 37 counties for ozone measurements, 11 counties for NO2, 22 counties for SO2, 16 counties for CO, and 37 counties for PM2.5 and PM10 measurements. As in the main analysis, dynamics of smoking prevalence (on state level) and seasonal fluctuations in respiratory mortality were used for adjustments of the results. The potential effect of ICD code changes (from ICD-9 to ICD-10), the seasonal fluctuation of air pollutants and mortality during summer and winter, and the analysis validity when only the underlying causes of deaths contributed to the cause-specific death rates were tested. In addition, sensitivity analysis was performed for county-level data on respiratory mortality and air-pollutant levels. Only counties for which the data on air quality were directly measured by monitoring stations were included in the analysis: 37 counties for ozone measurements, 11 counties for NO2, 22 counties for SO2, 16 counties for CO, and 37 counties for PM2.5 and PM10 measurements. As in the main analysis, dynamics of smoking prevalence (on state level) and seasonal fluctuations in respiratory mortality were used for adjustments of the results. Data: We analyzed mortality rates for emphysema (International Classification of Diseases [ICD]-9 code 492, ICD-10 code J43), asthma (ICD-9 code 493, ICD-10 codes J45, J46), and pneumonia (ICD-9 codes 480.0, 480.1, 480.2, 480.9, 485, 486, 487.0, 487.1, ICD-10 codes J11.00, J11.1, J12.0, J12.1, J12.2, J12.9, J18.0, J18.9) in North Carolina from 1983 to 2010 using the data from the Vital Statistics National Center for Health Statistics Multiple Cause of Death dataset. We started the mortality analysis with the data from 1983, but could only analyze air quality when monitoring data were available, ie, 1993–2010. The mortality data enabled an analysis of a longer period of death-rate dynamics, thus allowing to observe the dynamics of disease-specific mortality before the measured reduction in particulate and gaseous emissions in North Carolina. Age-adjusted death rates (per 100,000 of population) were calculated using 5-year age-groups and standard 2000 North Carolina population. The data on population were provided by the Surveillance Epidemiology and End Results Registry (SEER) at http://www.seer.cancer.gov/popdata/download.html. Data on concentrations of PM2.5 (μg/m3), PM (μg/m3 10), ozone (ppb), CO (ppb), NO2 (ppb), and SO2 (ppb) in the air in 1993–2010 were obtained from the US Environmental Protection Agency (EPA) (http://www.epa.gov/ttn/airs/airsaqs/detaildata/downloadaqsdata.htm). We used the averaged month-specific concentrations of air pollutants for North Carolina to further analyze them for associations with the dynamics of cause-specific monthly mortality in the state. A two-stage averaging procedure was used to avoid heterogeneity in the numbers of measurements made in certain days of the month: first, we calculated the day-specific means, and then these values were averaged, resulting in month-specific means. Negative values were excluded, and measurements with various units were converted to μg/m3 for PM2.5 and PM10, and to ppb for ozone, CO, NO2, and SO2. Since the data on air pollutants represented different methods of registration during different durations of sample collection (ie, the length of time used to acquire a sample measurement), an auxiliary analysis was performed to check whether the specific method could be considered as an outlier and therefore excluded from the analyses. Also, data on the prevalence of tobacco use for 1995–2010 were obtained from the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System survey for age–groups 18–24, 25–34, 35–44, 45–54, 55–64, and 65+ years (http://www.cdc.gov/brfss). Ethics statement: The data used in this study have no individual identifiable information. No specific procedures were required for de-identification of the records. All data analyses were designed and performed in accordance with the ethical standards of the committee on human experimentation and with the Helsinki Declaration (1975, revised in 1983), and were approved by the Duke University Health System Institutional Review Board. Methods: Trends of cause-specific death rates and of levels of air contaminants were analyzed for correlations. Adjustment by smoking prevalence and seasonal fluctuations in respiratory deaths (for monthly death rates of emphysema, asthma, and pneumonia) were included in a log-linear model that was used to evaluate the associations between the level of each studied air pollutant and the death rates, as follows: where u was the intercept, β1 represented the effect of each studied air pollutant depending on its concentration (denoted by c) measured in its units (as described in the Data section), β2 represented the effect of smoking prevalence (denoted by s), μm represented the effects of 11 months (January to November for each year) in respect of December (Im is the month indicator), and ε stood for random residuals. Note that if the air-pollutant concentration changes by one unit of its measured level in the air, the rate r changes by the factor of exp(β1). For multiple comparisons, the Bonferroni correction was applied. Sensitivity analysis: The potential effect of ICD code changes (from ICD-9 to ICD-10), the seasonal fluctuation of air pollutants and mortality during summer and winter, and the analysis validity when only the underlying causes of deaths contributed to the cause-specific death rates were tested. In addition, sensitivity analysis was performed for county-level data on respiratory mortality and air-pollutant levels. Only counties for which the data on air quality were directly measured by monitoring stations were included in the analysis: 37 counties for ozone measurements, 11 counties for NO2, 22 counties for SO2, 16 counties for CO, and 37 counties for PM2.5 and PM10 measurements. As in the main analysis, dynamics of smoking prevalence (on state level) and seasonal fluctuations in respiratory mortality were used for adjustments of the results. Results: We analyzed up to 180 month-specific measurements of each of the studied air pollutants recorded at multiple monitoring sites in North Carolina (see Table 1 for detailed air pollutant-specific information). We found air quality in North Carolina gradually improving over time, primarily due to decreasing PM10, NO2, and CO levels. These decreases became more pronounced from 2002 (see Figure 1; note that individual pollutants were placed onto a single graph by utilizing the arbitrary units to enable a collective visualization of the trends). The following seasonal fluctuations of pollutants levels were observed (Figure 2): levels of ozone, PM2.5, and PM10 were higher in summer, while levels of SO2, NO2, and CO were higher in winter. Since 1983, the death rates of three studied diseases have been decreasing (Figure 3), with declines in emphysema death rates more dramatic since 1998, for asthma since 1995, and for pneumonia since 1990. From 1993 to 2010, 101,374 deaths in North Carolina were caused by pneumonia, 13,187 by emphysema, and 5,509 by asthma. The detailed description of the studied population is presented in Table 2. Among those who died from emphysema and from pneumonia, 80.7% and 85.9%, respectively, were older than 65 years. For asthma, ages at death were younger: 9.7% were younger than 40 years, and 31.3% were aged 40–64 years old. However, the declining trends of pollutant concentrations and death rates during 1993–2010 do not essentially confirm causality. The association between the changes of air-pollutant levels and dynamics of disease-specific death rates after being adjusted for smoking prevalence (for respective year and age-group), and by monthly fluctuations in respiratory disease-specific death rates are shown in Table 3, for each air pollutant. The disease-specific death rate (number of deaths per 100,000 population) decreased by a factor calculated based on the value of estimate presented in Table 3 (ie, per decrease of concentration of each pollutant by one unit of measurement: per 1.0 ppb for ozone, SO2, NO2, CO, and per 1.0 μg/m3 for PM2.5 and PM10). For example, the estimate for emphysema in Table 3 means that if the SO2 level decreases by 1 ppb, the emphysema death rate (per 100,000 population) can be predicted to decrease by a factor of exp(0.0547) =1.056. Similar interpretation can be developed for smoking estimates, keeping in mind that smoking is represented by its prevalence in population measured in percentages, and thus the respective exponential factor corresponds to a change in smoking prevalence by 1%. Among gaseous pollutants, the estimates for associations between reduction of air-pollutant levels and reduction of death rates were significant for SO2 and emphysema (0.0547±0.0106, P<0.0001), asthma (0.0598±0.0173, P<0.001), and pneumonia (0.0309±0.0093, P<0.001), and for CO and emphysema (0.0004±0.0001, P<0.0001) and asthma (0.0006±0.0001, P<0.001). For PM, reduced PM2.5 levels were associated with reduction of emphysema mortality (0.0155±0.0066, P<0.05) and reduced PM10 levels, with reduction of asthma mortality (0.0204±0.0058, P<0.001). As expected, smoking significantly affected the mortality of each disease. Sensitivity analysis The sensitivity analysis demonstrated good stability of obtained results (see Table S1 for detailed information). In the sensitivity analysis, the association between pneumonia mortality and CO levels became significant (P=0.0655 in main versus P<0.0001 in sensitivity analysis) when pneumonia was analyzed as an underlying cause of death. Recent studies have demonstrated that separation of comorbid conditions to underlying and secondary causes can be unreliable;23–25 however, for certain diseases with a predominantly acute course (eg, pneumonia), that may not be the case, and additional information can also be obtained from analysis of underlying causes of death. In addition, sensitivity analysis showed that during summer decreased mortality from emphysema was associated with lower levels of PM10 (P=0.2554 in main versus P=0.017 in sensitivity analysis), and statistical significance was observed for associations between pneumonia mortality and CO levels when ICD code changes were taken into account (P=0.0655 in main versus P=0.018 in sensitivity analysis). A county-level analysis also demonstrated the stability of most observations in the main analysis. Among associations that were significant under Bonferroni correction in the main analysis, associations between dynamics of SO2 and mortality from emphysema (0.1399, P<0.001) and pneumonia (0.0698, P<0.001), and associations between changes of CO levels and asthma mortality (0.0004, P<0.05) were also significant in the sensitivity analysis. The association between CO and pneumonia mortality was also significant when analysis was performed on a county level (0.0002, P<0.001). Recall that this association was significant in the analysis using state-level data in two cases: when being corrected for changes of ICD codes and when only underlying causes of deaths were considered as contributing to the cause-specific death (see detailed results in Table S1). The effects of dynamics of SO2 and PM10 on asthma mortality became nonsignificant (P>0.05), likely due to the small number of county-specific asthma deaths and due to the large fraction of zeroth death rates that were not successfully described by Equation 1. The sensitivity analysis demonstrated good stability of obtained results (see Table S1 for detailed information). In the sensitivity analysis, the association between pneumonia mortality and CO levels became significant (P=0.0655 in main versus P<0.0001 in sensitivity analysis) when pneumonia was analyzed as an underlying cause of death. Recent studies have demonstrated that separation of comorbid conditions to underlying and secondary causes can be unreliable;23–25 however, for certain diseases with a predominantly acute course (eg, pneumonia), that may not be the case, and additional information can also be obtained from analysis of underlying causes of death. In addition, sensitivity analysis showed that during summer decreased mortality from emphysema was associated with lower levels of PM10 (P=0.2554 in main versus P=0.017 in sensitivity analysis), and statistical significance was observed for associations between pneumonia mortality and CO levels when ICD code changes were taken into account (P=0.0655 in main versus P=0.018 in sensitivity analysis). A county-level analysis also demonstrated the stability of most observations in the main analysis. Among associations that were significant under Bonferroni correction in the main analysis, associations between dynamics of SO2 and mortality from emphysema (0.1399, P<0.001) and pneumonia (0.0698, P<0.001), and associations between changes of CO levels and asthma mortality (0.0004, P<0.05) were also significant in the sensitivity analysis. The association between CO and pneumonia mortality was also significant when analysis was performed on a county level (0.0002, P<0.001). Recall that this association was significant in the analysis using state-level data in two cases: when being corrected for changes of ICD codes and when only underlying causes of deaths were considered as contributing to the cause-specific death (see detailed results in Table S1). The effects of dynamics of SO2 and PM10 on asthma mortality became nonsignificant (P>0.05), likely due to the small number of county-specific asthma deaths and due to the large fraction of zeroth death rates that were not successfully described by Equation 1. Sensitivity analysis: The sensitivity analysis demonstrated good stability of obtained results (see Table S1 for detailed information). In the sensitivity analysis, the association between pneumonia mortality and CO levels became significant (P=0.0655 in main versus P<0.0001 in sensitivity analysis) when pneumonia was analyzed as an underlying cause of death. Recent studies have demonstrated that separation of comorbid conditions to underlying and secondary causes can be unreliable;23–25 however, for certain diseases with a predominantly acute course (eg, pneumonia), that may not be the case, and additional information can also be obtained from analysis of underlying causes of death. In addition, sensitivity analysis showed that during summer decreased mortality from emphysema was associated with lower levels of PM10 (P=0.2554 in main versus P=0.017 in sensitivity analysis), and statistical significance was observed for associations between pneumonia mortality and CO levels when ICD code changes were taken into account (P=0.0655 in main versus P=0.018 in sensitivity analysis). A county-level analysis also demonstrated the stability of most observations in the main analysis. Among associations that were significant under Bonferroni correction in the main analysis, associations between dynamics of SO2 and mortality from emphysema (0.1399, P<0.001) and pneumonia (0.0698, P<0.001), and associations between changes of CO levels and asthma mortality (0.0004, P<0.05) were also significant in the sensitivity analysis. The association between CO and pneumonia mortality was also significant when analysis was performed on a county level (0.0002, P<0.001). Recall that this association was significant in the analysis using state-level data in two cases: when being corrected for changes of ICD codes and when only underlying causes of deaths were considered as contributing to the cause-specific death (see detailed results in Table S1). The effects of dynamics of SO2 and PM10 on asthma mortality became nonsignificant (P>0.05), likely due to the small number of county-specific asthma deaths and due to the large fraction of zeroth death rates that were not successfully described by Equation 1. Discussion: We found significant correlations between reduction of air pollutants and dynamics of deaths due to respiratory diseases during the period we studied. We need to contextualize these findings, particularly in regard to the multifactorial contributors to respiratory mortality. In general, COPD has been shown to correlate highly with air pollution linked to global urbanization,26 eg, higher prevalence of chronic bronchitis (odds ratio [OR] 2.26, confidence interval [CI] 1.54–3.31), asthma (OR 1.57, CI 1.25–1.98), and emphysema (OR 2.98, CI 1.95–4.54) were observed in the meta-analyses of individuals exposed to urban air.27 Little is known about whether chronic, low-dose exposure to ambient air pollutants can exacerbate COPD progression.28,29 Several recent studies related respiratory symptoms to long-term rather than short-term effects of ambient particles,30 with the long-term exposure to PM10 increasing the risk of COPD.31 Changing air quality in North Carolina could be a good example of analysis of the trends of both improved air quality and respiratory mortality over almost two decades of observations. Improved air quality in North Carolina since the mid-1990s is related to a series of federal and state acts and regulations (see Table 4), including the national heavy-duty truck engine standards, reduction of NOx emissions, the Clean Smokestacks Act, and new engine standards. Regulations of emissions of NOx, PM10, and CO appeared to be very effective in improving air quality in the state. Observed seasonal fluctuations of air-pollutants levels could be due to season-dependent local dispersive conditions, breeze dynamics, differences in concentration process (eg, caused by the thinning of the air mixing layer in winter), and season-specific higher formation of certain compounds, eg, higher nitrate formation in the cold season leads to higher levels of NOx in the air.32 Higher PM levels observed in North Carolina during the summer are of additional concern for health effects being exacerbated by hot humid weather, especially during heat waves.33 For respiratory mortality, no threshold effect has been identified;34,35 therefore, detailed economic analysis is required to evaluate the expenses and benefits of keeping the levels of air pollutants extra low. For current regulations in the US, it has been shown that control of PM2.5 emissions could result in $100 billion of benefits annually.36 Air quality and emphysema In our study, the association between reduced levels of ozone, SO2, NO2, CO, and PM2.5 and decreased mortality from emphysema were observed, with associations for SO2 and CO remaining significant under Bonferroni correction. In other studies, emphysema outcomes were usually analyzed as a part of COPD; nonetheless, our findings on emphysema are in general agreement with these publications. For example, higher prevalence of visits to emergency departments for COPD and emphysema have been observed for higher SO2 levels37 (especially among older adults38); however, some studies showed that these associations may be attributable to SO2 serving as a surrogate of other substances.39 Few studies are available on the effects of outdoor CO on COPD.40,41 Our results on associations between lower CO levels and lower emphysema mortality are in agreement with studies that showed increased morbidity and mortality risks among patients with COPD.42–45 Note that the impacts of CO could be effectively minimized by controlling transportation activities, which accounts for more than three-quarters of CO emissions in the US.42,46 While in our study associations with PM2.5 became nonsignificant under Bonferroni correction, in other studies higher levels of PM2.5 have been associated with higher admissions for COPD exacerbation47 and with increased COPD mortality.48–50 These differences could be due to the fact that the aforementioned studies were performed outside the US, had different patterns of seasonal fluctuations of PM levels in the air, and also were focused on specific populations (ie, older adults). In our study, the association between reduced levels of ozone, SO2, NO2, CO, and PM2.5 and decreased mortality from emphysema were observed, with associations for SO2 and CO remaining significant under Bonferroni correction. In other studies, emphysema outcomes were usually analyzed as a part of COPD; nonetheless, our findings on emphysema are in general agreement with these publications. For example, higher prevalence of visits to emergency departments for COPD and emphysema have been observed for higher SO2 levels37 (especially among older adults38); however, some studies showed that these associations may be attributable to SO2 serving as a surrogate of other substances.39 Few studies are available on the effects of outdoor CO on COPD.40,41 Our results on associations between lower CO levels and lower emphysema mortality are in agreement with studies that showed increased morbidity and mortality risks among patients with COPD.42–45 Note that the impacts of CO could be effectively minimized by controlling transportation activities, which accounts for more than three-quarters of CO emissions in the US.42,46 While in our study associations with PM2.5 became nonsignificant under Bonferroni correction, in other studies higher levels of PM2.5 have been associated with higher admissions for COPD exacerbation47 and with increased COPD mortality.48–50 These differences could be due to the fact that the aforementioned studies were performed outside the US, had different patterns of seasonal fluctuations of PM levels in the air, and also were focused on specific populations (ie, older adults). Air quality and asthma We observed decreasing asthma mortality associated with lower levels of NO2, SO2, CO, and PM10, with the latter three pollutants remaining significant under Bonferroni correction. These results are in agreement with other studies. For example, correlations have been reported between asthma mortality and SO251 and NO252–56 levels, and between asthma severity (in children) and CO levels.43,44,57 Other studies reported that asthma mortality decreased earlier in response to improvement of air quality (eg, when compared to emphysema or chronic bronchitis),51 with a decrease of asthma deaths occurring approximately 5 years earlier. The effects of PMs on respiratory health and, in particular, on asthma have been studied predominantly for associations with prevalence of respiratory symptoms58–60 and emergency department visits or hospital admissions.28,61–63 It has been shown that asthma symptoms were exacerbated even at PMs concentrations being 60% below the safety limits for PMs (ie, that supposed not to affect the healthy population).64 However, information on associations of asthma mortality with long-term exposure to PMs is sparse. In our study, reduction of PM10 (and its seasonal fluctuations) was associated with decreased asthma mortality in North Carolina. Previous studies on PM10 showed that elevated levels of PM10 were correlated with hospital admissions for asthma among patients aged 65+ years65 and children,44,57 and also with increased use of asthma medications among patients aged from 8 to 72 years old.66 Because air-quality and asthma-aggravation associations are reported from the studies typically performed in a single geographic region over a single season, individual study results may not be applicable to different populations and to longer weather/season cycles.43 Also, different components of PMs (eg, sulfates, nitrates, organic chemicals, metals, and soil or dust particles)12 may have different effects on the respiratory system.16,34,67 This makes comparisons between the studies challenging and may explain the diversity of results on health effects of PMs on both geographic and temporal scales.68 We observed decreasing asthma mortality associated with lower levels of NO2, SO2, CO, and PM10, with the latter three pollutants remaining significant under Bonferroni correction. These results are in agreement with other studies. For example, correlations have been reported between asthma mortality and SO251 and NO252–56 levels, and between asthma severity (in children) and CO levels.43,44,57 Other studies reported that asthma mortality decreased earlier in response to improvement of air quality (eg, when compared to emphysema or chronic bronchitis),51 with a decrease of asthma deaths occurring approximately 5 years earlier. The effects of PMs on respiratory health and, in particular, on asthma have been studied predominantly for associations with prevalence of respiratory symptoms58–60 and emergency department visits or hospital admissions.28,61–63 It has been shown that asthma symptoms were exacerbated even at PMs concentrations being 60% below the safety limits for PMs (ie, that supposed not to affect the healthy population).64 However, information on associations of asthma mortality with long-term exposure to PMs is sparse. In our study, reduction of PM10 (and its seasonal fluctuations) was associated with decreased asthma mortality in North Carolina. Previous studies on PM10 showed that elevated levels of PM10 were correlated with hospital admissions for asthma among patients aged 65+ years65 and children,44,57 and also with increased use of asthma medications among patients aged from 8 to 72 years old.66 Because air-quality and asthma-aggravation associations are reported from the studies typically performed in a single geographic region over a single season, individual study results may not be applicable to different populations and to longer weather/season cycles.43 Also, different components of PMs (eg, sulfates, nitrates, organic chemicals, metals, and soil or dust particles)12 may have different effects on the respiratory system.16,34,67 This makes comparisons between the studies challenging and may explain the diversity of results on health effects of PMs on both geographic and temporal scales.68 Air quality and pneumonia In our study, a decrease in pneumonia deaths was associated with decreasing SO2 levels. Also, when pneumonia was considered as the underlying cause of death, lower pneumonia death rates were observed for lower CO levels. Some studies have linked an acute respiratory disease with higher levels of SO2 pollution, independently of cigarette smoking,69 while later studies have not confirmed these associations (however, some results were sensitive to the methods used to estimate air-pollutant levels).70,71 For CO, an association has been reported between its increased concentrations and higher pneumonia hospitalization.45 While some epidemiological and experimental studies have suggested relationships between NO2, ozone, and PMs and increased risk for viral respiratory infections,72 we did not find these associations in our study. Our results are in agreement with another study that did not find positive associations between PMs and pneumonia deaths (they found associations only for the group of never-smokers).73 However, most of the studies were performed on pneumonia morbidity (including hospitalizations and emergency department visits), while our study was on mortality. Also, multiple reports on associations between pneumonia risk and PMs levels come from international studies, eg, from Europe (where PMs levels peak in winter), while on the East Coast of the US they typically peak in summer,74 as we also observed in our study. While pneumonia is more frequent in late fall and winter, the relationships between outdoor air quality and health are supposed to be stronger in summer, when people spend more time outdoors. A study from Boston also supports our findings: no associations with pneumonia hospital admissions were found in summer, while in winter the largest effect on pneumonia morbidity was reported not for PMs but for black carbon (a surrogate for traffic particles: 14.3% increase of pneumonia hospitalizations for 1.7 μg/m3 increase of black carbon).45 Higher risk of morbidity and mortality from acute respiratory infections has been also reported for children exposed to PM10.22,75–85 In our study, we did not estimate mortality risks specifically for children; future studies will be performed for age-groups that are potentially at highest risk (ie, children and older adults). In our study, a decrease in pneumonia deaths was associated with decreasing SO2 levels. Also, when pneumonia was considered as the underlying cause of death, lower pneumonia death rates were observed for lower CO levels. Some studies have linked an acute respiratory disease with higher levels of SO2 pollution, independently of cigarette smoking,69 while later studies have not confirmed these associations (however, some results were sensitive to the methods used to estimate air-pollutant levels).70,71 For CO, an association has been reported between its increased concentrations and higher pneumonia hospitalization.45 While some epidemiological and experimental studies have suggested relationships between NO2, ozone, and PMs and increased risk for viral respiratory infections,72 we did not find these associations in our study. Our results are in agreement with another study that did not find positive associations between PMs and pneumonia deaths (they found associations only for the group of never-smokers).73 However, most of the studies were performed on pneumonia morbidity (including hospitalizations and emergency department visits), while our study was on mortality. Also, multiple reports on associations between pneumonia risk and PMs levels come from international studies, eg, from Europe (where PMs levels peak in winter), while on the East Coast of the US they typically peak in summer,74 as we also observed in our study. While pneumonia is more frequent in late fall and winter, the relationships between outdoor air quality and health are supposed to be stronger in summer, when people spend more time outdoors. A study from Boston also supports our findings: no associations with pneumonia hospital admissions were found in summer, while in winter the largest effect on pneumonia morbidity was reported not for PMs but for black carbon (a surrogate for traffic particles: 14.3% increase of pneumonia hospitalizations for 1.7 μg/m3 increase of black carbon).45 Higher risk of morbidity and mortality from acute respiratory infections has been also reported for children exposed to PM10.22,75–85 In our study, we did not estimate mortality risks specifically for children; future studies will be performed for age-groups that are potentially at highest risk (ie, children and older adults). Methodological aspects and study limitations In our approach, the number of observations sufficient to estimate model parameters was achieved by incorporating monthly changes of air-pollutant levels and respiratory mortality. One advantage of this approach is that the unobserved heterogeneity due to other factors (such as socioeconomic status, quality of health care, migration) is minimal, because these factors do not essentially vary from month to month. In contrast, this unobserved heterogeneity is typical for ecological studies with area-based design, and could result in the occurrence of additional biases if these variables are not sufficiently controlled. One example of such a factor is the time trend describing improvements in the treatment of respiratory disease that occurred during the recent two decades and which contributed to decreasing trends of mortality from emphysema, asthma, and pneumonia. Both improved air quality and vaccinations against pneumonia could lead to fewer hospital admissions, eg, pneumonia age-adjusted death rates started declining in the late 1990s, while the hospital discharge rate did not change significantly for patients older than 15 years.86–88 Although our approach with measurements at the month level minimizes the bias from this time trend (because only a 12th of our measurements reflect the annual time trend), improvements in treatment (as well as factors other than air pollution and smoking with significant time trends) should be taken into account in further studies. For example, further analysis of disease-specific visits to emergency departments would be important to validate the role of improved medical care in observed respiratory disease trends. Other factors, such as changes in socioeconomic status, can also impact the dynamics of disease-specific mortality rates. However, it has been reported that for social factors, as well as for race, the effects of modification, eg, of PMs (ie, PM10) on total mortality were weak.20 In our study, the time pattern of smoking was chosen to reflect annual trends in respiratory mortality in addition to air pollution. Inclusion of one additional variable measured annually (ie, not on a monthly basis) could result in difficulty in distinguishing the effect of this variable and smoking. Smoking was chosen because its patterns are concordant with patterns of respiratory mortality, and because of many substantive results on the role of smoking in respiratory mortality (eg, findings that both smoking and exposure to air pollutants [eg, PM2.5] could exacerbate respiratory diseases).28,73 In our study, smoking had a significant stable effect on the dynamics of respiratory mortality from all three studied diseases. However, it can also reflect possible impacts of other variables with similar to smoking time trends and associations with respiratory mortality. Better evaluation of smoking effects (including synergistic effects of smoking and air pollutants) could be achieved in studies with individual records on smoking status. Study designs based on individual measurements of environmental exposure and health outcomes (which are classic epidemiologic approaches) would be helpful for improvement of the quality of estimates. However, such approaches are expensive and complex, in part due to the difficulty of measuring subjects’ exposure to the relatively low levels of pollutants in the air. Some studies on the use of outdoor monitoring-station data (compared with the personal indoor/outdoor-exposure monitors) demonstrated that personal exposure to pollutants of outdoor origin was more closely related to outdoor air-pollutant levels than interpretations of personal monitoring data.58,89 Furthermore, the frequently high correlations between levels of certain pollutants in the air also make it difficult to identify the impact of a single agent on human health.17 Changes in diagnostic criteria of respiratory diseases that happened during last two decades primarily affected the trends of disease incidence; however, in part, mortality trends were also affected. In children, diagnoses can transfer from chronic bronchitis and pneumonia to asthma, thus contributing to increasing trends in asthma prevalence (with its recent stabilization) and health care utilization.90 If the person dies from pneumonia, but also had an underlying condition of which the pneumonia was probably a result, than that underlying disease but not pneumonia is considered the cause of death in the death certificate, and thus fewer deaths are directly attributable to pneumonia.86 Although asthma death rates increased from 1980 to the mid-1990s, replaced ICD codes from the ninth to the tenth revision makes it challenging to evaluate the decline in asthma mortality since the late-1990s.91,92 With regard to this problem, it has been shown that decline in asthma mortality that occurred from 1998 to 1999 included approximately 11% of decline that resulted from the changes during the ICD codes transition; then, under ICD-10, asthma death rates continued declining.91 Because no definitive asthma laboratory tests exist, asthma estimates rely on the physician, who also should accurately attribute the cause of death to asthma; therefore, the reliability of the death certificates has been questioned (eg, for the chance of misreporting the cause of death in older persons with comorbid conditions). Large well-designed studies have concluded that asthma death coding has 99% specificity and low sensitivity (42%), and asthma as a cause of death was underreported in preference to COPD in all age-groups.91,93 In our approach, the number of observations sufficient to estimate model parameters was achieved by incorporating monthly changes of air-pollutant levels and respiratory mortality. One advantage of this approach is that the unobserved heterogeneity due to other factors (such as socioeconomic status, quality of health care, migration) is minimal, because these factors do not essentially vary from month to month. In contrast, this unobserved heterogeneity is typical for ecological studies with area-based design, and could result in the occurrence of additional biases if these variables are not sufficiently controlled. One example of such a factor is the time trend describing improvements in the treatment of respiratory disease that occurred during the recent two decades and which contributed to decreasing trends of mortality from emphysema, asthma, and pneumonia. Both improved air quality and vaccinations against pneumonia could lead to fewer hospital admissions, eg, pneumonia age-adjusted death rates started declining in the late 1990s, while the hospital discharge rate did not change significantly for patients older than 15 years.86–88 Although our approach with measurements at the month level minimizes the bias from this time trend (because only a 12th of our measurements reflect the annual time trend), improvements in treatment (as well as factors other than air pollution and smoking with significant time trends) should be taken into account in further studies. For example, further analysis of disease-specific visits to emergency departments would be important to validate the role of improved medical care in observed respiratory disease trends. Other factors, such as changes in socioeconomic status, can also impact the dynamics of disease-specific mortality rates. However, it has been reported that for social factors, as well as for race, the effects of modification, eg, of PMs (ie, PM10) on total mortality were weak.20 In our study, the time pattern of smoking was chosen to reflect annual trends in respiratory mortality in addition to air pollution. Inclusion of one additional variable measured annually (ie, not on a monthly basis) could result in difficulty in distinguishing the effect of this variable and smoking. Smoking was chosen because its patterns are concordant with patterns of respiratory mortality, and because of many substantive results on the role of smoking in respiratory mortality (eg, findings that both smoking and exposure to air pollutants [eg, PM2.5] could exacerbate respiratory diseases).28,73 In our study, smoking had a significant stable effect on the dynamics of respiratory mortality from all three studied diseases. However, it can also reflect possible impacts of other variables with similar to smoking time trends and associations with respiratory mortality. Better evaluation of smoking effects (including synergistic effects of smoking and air pollutants) could be achieved in studies with individual records on smoking status. Study designs based on individual measurements of environmental exposure and health outcomes (which are classic epidemiologic approaches) would be helpful for improvement of the quality of estimates. However, such approaches are expensive and complex, in part due to the difficulty of measuring subjects’ exposure to the relatively low levels of pollutants in the air. Some studies on the use of outdoor monitoring-station data (compared with the personal indoor/outdoor-exposure monitors) demonstrated that personal exposure to pollutants of outdoor origin was more closely related to outdoor air-pollutant levels than interpretations of personal monitoring data.58,89 Furthermore, the frequently high correlations between levels of certain pollutants in the air also make it difficult to identify the impact of a single agent on human health.17 Changes in diagnostic criteria of respiratory diseases that happened during last two decades primarily affected the trends of disease incidence; however, in part, mortality trends were also affected. In children, diagnoses can transfer from chronic bronchitis and pneumonia to asthma, thus contributing to increasing trends in asthma prevalence (with its recent stabilization) and health care utilization.90 If the person dies from pneumonia, but also had an underlying condition of which the pneumonia was probably a result, than that underlying disease but not pneumonia is considered the cause of death in the death certificate, and thus fewer deaths are directly attributable to pneumonia.86 Although asthma death rates increased from 1980 to the mid-1990s, replaced ICD codes from the ninth to the tenth revision makes it challenging to evaluate the decline in asthma mortality since the late-1990s.91,92 With regard to this problem, it has been shown that decline in asthma mortality that occurred from 1998 to 1999 included approximately 11% of decline that resulted from the changes during the ICD codes transition; then, under ICD-10, asthma death rates continued declining.91 Because no definitive asthma laboratory tests exist, asthma estimates rely on the physician, who also should accurately attribute the cause of death to asthma; therefore, the reliability of the death certificates has been questioned (eg, for the chance of misreporting the cause of death in older persons with comorbid conditions). Large well-designed studies have concluded that asthma death coding has 99% specificity and low sensitivity (42%), and asthma as a cause of death was underreported in preference to COPD in all age-groups.91,93 Air quality and emphysema: In our study, the association between reduced levels of ozone, SO2, NO2, CO, and PM2.5 and decreased mortality from emphysema were observed, with associations for SO2 and CO remaining significant under Bonferroni correction. In other studies, emphysema outcomes were usually analyzed as a part of COPD; nonetheless, our findings on emphysema are in general agreement with these publications. For example, higher prevalence of visits to emergency departments for COPD and emphysema have been observed for higher SO2 levels37 (especially among older adults38); however, some studies showed that these associations may be attributable to SO2 serving as a surrogate of other substances.39 Few studies are available on the effects of outdoor CO on COPD.40,41 Our results on associations between lower CO levels and lower emphysema mortality are in agreement with studies that showed increased morbidity and mortality risks among patients with COPD.42–45 Note that the impacts of CO could be effectively minimized by controlling transportation activities, which accounts for more than three-quarters of CO emissions in the US.42,46 While in our study associations with PM2.5 became nonsignificant under Bonferroni correction, in other studies higher levels of PM2.5 have been associated with higher admissions for COPD exacerbation47 and with increased COPD mortality.48–50 These differences could be due to the fact that the aforementioned studies were performed outside the US, had different patterns of seasonal fluctuations of PM levels in the air, and also were focused on specific populations (ie, older adults). Air quality and asthma: We observed decreasing asthma mortality associated with lower levels of NO2, SO2, CO, and PM10, with the latter three pollutants remaining significant under Bonferroni correction. These results are in agreement with other studies. For example, correlations have been reported between asthma mortality and SO251 and NO252–56 levels, and between asthma severity (in children) and CO levels.43,44,57 Other studies reported that asthma mortality decreased earlier in response to improvement of air quality (eg, when compared to emphysema or chronic bronchitis),51 with a decrease of asthma deaths occurring approximately 5 years earlier. The effects of PMs on respiratory health and, in particular, on asthma have been studied predominantly for associations with prevalence of respiratory symptoms58–60 and emergency department visits or hospital admissions.28,61–63 It has been shown that asthma symptoms were exacerbated even at PMs concentrations being 60% below the safety limits for PMs (ie, that supposed not to affect the healthy population).64 However, information on associations of asthma mortality with long-term exposure to PMs is sparse. In our study, reduction of PM10 (and its seasonal fluctuations) was associated with decreased asthma mortality in North Carolina. Previous studies on PM10 showed that elevated levels of PM10 were correlated with hospital admissions for asthma among patients aged 65+ years65 and children,44,57 and also with increased use of asthma medications among patients aged from 8 to 72 years old.66 Because air-quality and asthma-aggravation associations are reported from the studies typically performed in a single geographic region over a single season, individual study results may not be applicable to different populations and to longer weather/season cycles.43 Also, different components of PMs (eg, sulfates, nitrates, organic chemicals, metals, and soil or dust particles)12 may have different effects on the respiratory system.16,34,67 This makes comparisons between the studies challenging and may explain the diversity of results on health effects of PMs on both geographic and temporal scales.68 Air quality and pneumonia: In our study, a decrease in pneumonia deaths was associated with decreasing SO2 levels. Also, when pneumonia was considered as the underlying cause of death, lower pneumonia death rates were observed for lower CO levels. Some studies have linked an acute respiratory disease with higher levels of SO2 pollution, independently of cigarette smoking,69 while later studies have not confirmed these associations (however, some results were sensitive to the methods used to estimate air-pollutant levels).70,71 For CO, an association has been reported between its increased concentrations and higher pneumonia hospitalization.45 While some epidemiological and experimental studies have suggested relationships between NO2, ozone, and PMs and increased risk for viral respiratory infections,72 we did not find these associations in our study. Our results are in agreement with another study that did not find positive associations between PMs and pneumonia deaths (they found associations only for the group of never-smokers).73 However, most of the studies were performed on pneumonia morbidity (including hospitalizations and emergency department visits), while our study was on mortality. Also, multiple reports on associations between pneumonia risk and PMs levels come from international studies, eg, from Europe (where PMs levels peak in winter), while on the East Coast of the US they typically peak in summer,74 as we also observed in our study. While pneumonia is more frequent in late fall and winter, the relationships between outdoor air quality and health are supposed to be stronger in summer, when people spend more time outdoors. A study from Boston also supports our findings: no associations with pneumonia hospital admissions were found in summer, while in winter the largest effect on pneumonia morbidity was reported not for PMs but for black carbon (a surrogate for traffic particles: 14.3% increase of pneumonia hospitalizations for 1.7 μg/m3 increase of black carbon).45 Higher risk of morbidity and mortality from acute respiratory infections has been also reported for children exposed to PM10.22,75–85 In our study, we did not estimate mortality risks specifically for children; future studies will be performed for age-groups that are potentially at highest risk (ie, children and older adults). Methodological aspects and study limitations: In our approach, the number of observations sufficient to estimate model parameters was achieved by incorporating monthly changes of air-pollutant levels and respiratory mortality. One advantage of this approach is that the unobserved heterogeneity due to other factors (such as socioeconomic status, quality of health care, migration) is minimal, because these factors do not essentially vary from month to month. In contrast, this unobserved heterogeneity is typical for ecological studies with area-based design, and could result in the occurrence of additional biases if these variables are not sufficiently controlled. One example of such a factor is the time trend describing improvements in the treatment of respiratory disease that occurred during the recent two decades and which contributed to decreasing trends of mortality from emphysema, asthma, and pneumonia. Both improved air quality and vaccinations against pneumonia could lead to fewer hospital admissions, eg, pneumonia age-adjusted death rates started declining in the late 1990s, while the hospital discharge rate did not change significantly for patients older than 15 years.86–88 Although our approach with measurements at the month level minimizes the bias from this time trend (because only a 12th of our measurements reflect the annual time trend), improvements in treatment (as well as factors other than air pollution and smoking with significant time trends) should be taken into account in further studies. For example, further analysis of disease-specific visits to emergency departments would be important to validate the role of improved medical care in observed respiratory disease trends. Other factors, such as changes in socioeconomic status, can also impact the dynamics of disease-specific mortality rates. However, it has been reported that for social factors, as well as for race, the effects of modification, eg, of PMs (ie, PM10) on total mortality were weak.20 In our study, the time pattern of smoking was chosen to reflect annual trends in respiratory mortality in addition to air pollution. Inclusion of one additional variable measured annually (ie, not on a monthly basis) could result in difficulty in distinguishing the effect of this variable and smoking. Smoking was chosen because its patterns are concordant with patterns of respiratory mortality, and because of many substantive results on the role of smoking in respiratory mortality (eg, findings that both smoking and exposure to air pollutants [eg, PM2.5] could exacerbate respiratory diseases).28,73 In our study, smoking had a significant stable effect on the dynamics of respiratory mortality from all three studied diseases. However, it can also reflect possible impacts of other variables with similar to smoking time trends and associations with respiratory mortality. Better evaluation of smoking effects (including synergistic effects of smoking and air pollutants) could be achieved in studies with individual records on smoking status. Study designs based on individual measurements of environmental exposure and health outcomes (which are classic epidemiologic approaches) would be helpful for improvement of the quality of estimates. However, such approaches are expensive and complex, in part due to the difficulty of measuring subjects’ exposure to the relatively low levels of pollutants in the air. Some studies on the use of outdoor monitoring-station data (compared with the personal indoor/outdoor-exposure monitors) demonstrated that personal exposure to pollutants of outdoor origin was more closely related to outdoor air-pollutant levels than interpretations of personal monitoring data.58,89 Furthermore, the frequently high correlations between levels of certain pollutants in the air also make it difficult to identify the impact of a single agent on human health.17 Changes in diagnostic criteria of respiratory diseases that happened during last two decades primarily affected the trends of disease incidence; however, in part, mortality trends were also affected. In children, diagnoses can transfer from chronic bronchitis and pneumonia to asthma, thus contributing to increasing trends in asthma prevalence (with its recent stabilization) and health care utilization.90 If the person dies from pneumonia, but also had an underlying condition of which the pneumonia was probably a result, than that underlying disease but not pneumonia is considered the cause of death in the death certificate, and thus fewer deaths are directly attributable to pneumonia.86 Although asthma death rates increased from 1980 to the mid-1990s, replaced ICD codes from the ninth to the tenth revision makes it challenging to evaluate the decline in asthma mortality since the late-1990s.91,92 With regard to this problem, it has been shown that decline in asthma mortality that occurred from 1998 to 1999 included approximately 11% of decline that resulted from the changes during the ICD codes transition; then, under ICD-10, asthma death rates continued declining.91 Because no definitive asthma laboratory tests exist, asthma estimates rely on the physician, who also should accurately attribute the cause of death to asthma; therefore, the reliability of the death certificates has been questioned (eg, for the chance of misreporting the cause of death in older persons with comorbid conditions). Large well-designed studies have concluded that asthma death coding has 99% specificity and low sensitivity (42%), and asthma as a cause of death was underreported in preference to COPD in all age-groups.91,93 Conclusion: We observed temporal regional associations between long-term dynamics of decreasing death rates of emphysema, asthma, and pneumonia and reductions of the levels of certain air pollutants in North Carolina. Our results support the hypothesis that improvement in air quality, especially declines in SO2, CO, and PM10 levels in the air, contributed to the improved respiratory health of the North Carolina population. Since other factors (in addition to the studied air pollutants) might also account for improved health outcomes, ultimately caution should be exercised in inferring cause–effect relations. Supplementary material: Results of the sensitivity analysis Notes: The following factors were tested: the potential effect of International Classification of Diseases (ICD) code changes (from ICD-9 to ICD-10) (analysis 1), the effects of air pollutants on mortality during the summer (analysis 2) and winter (analysis 3), and the association when only underlying causes of death contributed to the cause-specific death rates (analysis 4). Abbreviation: PM, particulate matter.
Background: The respiratory tract is a major target of exposure to air pollutants, and respiratory diseases are associated with both short- and long-term exposures. We hypothesized that improved air quality in North Carolina was associated with reduced rates of death from respiratory diseases in local populations. Methods: We analyzed the trends of emphysema, asthma, and pneumonia mortality and changes of the levels of ozone, sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and particulate matters (PM2.5 and PM10) using monthly data measurements from air-monitoring stations in North Carolina in 1993-2010. The log-linear model was used to evaluate associations between air-pollutant levels and age-adjusted death rates (per 100,000 of population) calculated for 5-year age-groups and for standard 2000 North Carolina population. The studied associations were adjusted by age group-specific smoking prevalence and seasonal fluctuations of disease-specific respiratory deaths. Results: Decline in emphysema deaths was associated with decreasing levels of SO2 and CO in the air, decline in asthma deaths-with lower SO2, CO, and PM10 levels, and decline in pneumonia deaths-with lower levels of SO2. Sensitivity analyses were performed to study potential effects of the change from International Classification of Diseases (ICD)-9 to ICD-10 codes, the effects of air pollutants on mortality during summer and winter, the impact of approach when only the underlying causes of deaths were used, and when mortality and air-quality data were analyzed on the county level. In each case, the results of sensitivity analyses demonstrated stability. The importance of analysis of pneumonia as an underlying cause of death was also highlighted. Conclusions: Significant associations were observed between decreasing death rates of emphysema, asthma, and pneumonia and decreases in levels of ambient air pollutants in North Carolina.
Introduction: Air pollution has a deleterious impact on human health,1–6 with global outdoor air pollutants estimated to account for approximately 1.4% of total mortality and 2% of all cardiopulmonary mortality.7 Both ambient particles4,8,9 and such gases as nitrogen dioxide (NO2), ozone (O3), and carbon monoxide (CO) have been shown to increase total, cardiovascular, and respiratory (predominantly due to lung cancer and chronic obstructive pulmonary disease [COPD]) mortality and morbidity.3,10,11 While the impact on any individual’s risk of death has been thought to be relatively modest per se, the overall impact of air pollution on the health of an exposed population makes it a major public health concern.12 While more studies on short-term impacts of changes of air quality are available (such as the legislated traffic holidays during the 1996 Atlanta Olympic Games13 and the 2008 Beijing Olympic Games14), less is known about the long-term effects of changing air quality on the health of exposed populations. For example, a ban on heating-coal sales in Dublin was thought to be associated with both reduced pollution from airborne particulate matters (PMs) and 5.7% reduction in all-cause, 15.5% reduction in respiratory, and 10.3% reduction in cardiovascular mortality.15 However, these results were considered inconclusive, due to the complexity and expense of evaluating the health effects of air pollution on populations.16,17 Since the 1990s, a variety of acts, standards, and requirements in the US have been adopted to improve air quality. For example, increasingly stringent national gasoline and automotive engine requirements have been applied, resulting in a decrease of CO, NOx, PM, and volatile organic compounds in the air. At the state level, North Carolina in 1992 entered into the Southern Appalachian Mountains Initiative, leading to the development of the Clean Smokestacks Act18 to mandate reduced emissions from coal-fired power plants.19 While few studies have analyzed the associations of both air quality and health over a long period, and they were typically limited to analysis of a specific air pollutant or a couple of pollutants, we were able to study longitudinally a number of air contaminants, including both PMs and noxious gases. In addition, we analyzed both air quality and health outcomes over almost two decades (1993–2010). Because respiratory morbidity and mortality are affected by changes in air quality,20–22 we evaluated the associations between the changes of the levels of PM10 and PM2.5, ozone, CO, NO2, and SO2 in the air and death rates of emphysema, asthma, and pneumonia. Conclusion: We observed temporal regional associations between long-term dynamics of decreasing death rates of emphysema, asthma, and pneumonia and reductions of the levels of certain air pollutants in North Carolina. Our results support the hypothesis that improvement in air quality, especially declines in SO2, CO, and PM10 levels in the air, contributed to the improved respiratory health of the North Carolina population. Since other factors (in addition to the studied air pollutants) might also account for improved health outcomes, ultimately caution should be exercised in inferring cause–effect relations.
Background: The respiratory tract is a major target of exposure to air pollutants, and respiratory diseases are associated with both short- and long-term exposures. We hypothesized that improved air quality in North Carolina was associated with reduced rates of death from respiratory diseases in local populations. Methods: We analyzed the trends of emphysema, asthma, and pneumonia mortality and changes of the levels of ozone, sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and particulate matters (PM2.5 and PM10) using monthly data measurements from air-monitoring stations in North Carolina in 1993-2010. The log-linear model was used to evaluate associations between air-pollutant levels and age-adjusted death rates (per 100,000 of population) calculated for 5-year age-groups and for standard 2000 North Carolina population. The studied associations were adjusted by age group-specific smoking prevalence and seasonal fluctuations of disease-specific respiratory deaths. Results: Decline in emphysema deaths was associated with decreasing levels of SO2 and CO in the air, decline in asthma deaths-with lower SO2, CO, and PM10 levels, and decline in pneumonia deaths-with lower levels of SO2. Sensitivity analyses were performed to study potential effects of the change from International Classification of Diseases (ICD)-9 to ICD-10 codes, the effects of air pollutants on mortality during summer and winter, the impact of approach when only the underlying causes of deaths were used, and when mortality and air-quality data were analyzed on the county level. In each case, the results of sensitivity analyses demonstrated stability. The importance of analysis of pneumonia as an underlying cause of death was also highlighted. Conclusions: Significant associations were observed between decreasing death rates of emphysema, asthma, and pneumonia and decreases in levels of ambient air pollutants in North Carolina.
11,562
355
[ 493, 70, 199, 150, 372, 265, 352, 394, 103 ]
15
[ "mortality", "air", "asthma", "pneumonia", "levels", "death", "analysis", "studies", "respiratory", "associations" ]
[ "health effects air", "pollution health exposed", "mortality air pollutant", "impact air pollution", "air pollution smoking" ]
[CONTENT] chronic obstructive pulmonary disease | sulfur dioxide | carbon monoxide | nitrogen dioxide | particulate matter [SUMMARY]
[CONTENT] chronic obstructive pulmonary disease | sulfur dioxide | carbon monoxide | nitrogen dioxide | particulate matter [SUMMARY]
[CONTENT] chronic obstructive pulmonary disease | sulfur dioxide | carbon monoxide | nitrogen dioxide | particulate matter [SUMMARY]
[CONTENT] chronic obstructive pulmonary disease | sulfur dioxide | carbon monoxide | nitrogen dioxide | particulate matter [SUMMARY]
[CONTENT] chronic obstructive pulmonary disease | sulfur dioxide | carbon monoxide | nitrogen dioxide | particulate matter [SUMMARY]
[CONTENT] chronic obstructive pulmonary disease | sulfur dioxide | carbon monoxide | nitrogen dioxide | particulate matter [SUMMARY]
[CONTENT] Adolescent | Adult | Aged | Air Pollutants | Asthma | Carbon Monoxide | Environmental Monitoring | Female | Humans | Inhalation Exposure | Linear Models | Male | Middle Aged | Nitric Oxide | North Carolina | Ozone | Particulate Matter | Pneumonia | Pulmonary Emphysema | Risk Assessment | Risk Factors | Sulfur Dioxide | Time Factors | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Aged | Air Pollutants | Asthma | Carbon Monoxide | Environmental Monitoring | Female | Humans | Inhalation Exposure | Linear Models | Male | Middle Aged | Nitric Oxide | North Carolina | Ozone | Particulate Matter | Pneumonia | Pulmonary Emphysema | Risk Assessment | Risk Factors | Sulfur Dioxide | Time Factors | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Aged | Air Pollutants | Asthma | Carbon Monoxide | Environmental Monitoring | Female | Humans | Inhalation Exposure | Linear Models | Male | Middle Aged | Nitric Oxide | North Carolina | Ozone | Particulate Matter | Pneumonia | Pulmonary Emphysema | Risk Assessment | Risk Factors | Sulfur Dioxide | Time Factors | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Aged | Air Pollutants | Asthma | Carbon Monoxide | Environmental Monitoring | Female | Humans | Inhalation Exposure | Linear Models | Male | Middle Aged | Nitric Oxide | North Carolina | Ozone | Particulate Matter | Pneumonia | Pulmonary Emphysema | Risk Assessment | Risk Factors | Sulfur Dioxide | Time Factors | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Aged | Air Pollutants | Asthma | Carbon Monoxide | Environmental Monitoring | Female | Humans | Inhalation Exposure | Linear Models | Male | Middle Aged | Nitric Oxide | North Carolina | Ozone | Particulate Matter | Pneumonia | Pulmonary Emphysema | Risk Assessment | Risk Factors | Sulfur Dioxide | Time Factors | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Aged | Air Pollutants | Asthma | Carbon Monoxide | Environmental Monitoring | Female | Humans | Inhalation Exposure | Linear Models | Male | Middle Aged | Nitric Oxide | North Carolina | Ozone | Particulate Matter | Pneumonia | Pulmonary Emphysema | Risk Assessment | Risk Factors | Sulfur Dioxide | Time Factors | Young Adult [SUMMARY]
[CONTENT] health effects air | pollution health exposed | mortality air pollutant | impact air pollution | air pollution smoking [SUMMARY]
[CONTENT] health effects air | pollution health exposed | mortality air pollutant | impact air pollution | air pollution smoking [SUMMARY]
[CONTENT] health effects air | pollution health exposed | mortality air pollutant | impact air pollution | air pollution smoking [SUMMARY]
[CONTENT] health effects air | pollution health exposed | mortality air pollutant | impact air pollution | air pollution smoking [SUMMARY]
[CONTENT] health effects air | pollution health exposed | mortality air pollutant | impact air pollution | air pollution smoking [SUMMARY]
[CONTENT] health effects air | pollution health exposed | mortality air pollutant | impact air pollution | air pollution smoking [SUMMARY]
[CONTENT] mortality | air | asthma | pneumonia | levels | death | analysis | studies | respiratory | associations [SUMMARY]
[CONTENT] mortality | air | asthma | pneumonia | levels | death | analysis | studies | respiratory | associations [SUMMARY]
[CONTENT] mortality | air | asthma | pneumonia | levels | death | analysis | studies | respiratory | associations [SUMMARY]
[CONTENT] mortality | air | asthma | pneumonia | levels | death | analysis | studies | respiratory | associations [SUMMARY]
[CONTENT] mortality | air | asthma | pneumonia | levels | death | analysis | studies | respiratory | associations [SUMMARY]
[CONTENT] mortality | air | asthma | pneumonia | levels | death | analysis | studies | respiratory | associations [SUMMARY]
[CONTENT] air | health | pollution | quality | air quality | air pollution | air quality health | impact | quality health | changes air quality [SUMMARY]
[CONTENT] smoking | asthma | trends | mortality | respiratory | respiratory mortality | death | exposure | pneumonia | time [SUMMARY]
[CONTENT] analysis | sensitivity analysis | 001 | sensitivity | pneumonia | main | table | death | mortality | significant [SUMMARY]
[CONTENT] improved | air | north | north carolina | carolina | improvement air quality especially | carolina population factors | dynamics decreasing death rates | especially declines so2 co | especially declines so2 [SUMMARY]
[CONTENT] mortality | analysis | air | asthma | pneumonia | death | levels | studies | icd | co [SUMMARY]
[CONTENT] mortality | analysis | air | asthma | pneumonia | death | levels | studies | icd | co [SUMMARY]
[CONTENT] ||| North Carolina [SUMMARY]
[CONTENT] emphysema | monthly | North Carolina | 1993-2010 ||| 100,000 | 5-year | 2000 | North Carolina ||| [SUMMARY]
[CONTENT] SO2 | CO | CO | SO2 ||| International Classification of Diseases | summer | winter ||| ||| [SUMMARY]
[CONTENT] emphysema | North Carolina [SUMMARY]
[CONTENT] ||| North Carolina ||| emphysema | monthly | North Carolina | 1993-2010 ||| 100,000 | 5-year | 2000 | North Carolina ||| ||| SO2 | CO | CO | SO2 ||| International Classification of Diseases | summer | winter ||| ||| ||| emphysema | North Carolina [SUMMARY]
[CONTENT] ||| North Carolina ||| emphysema | monthly | North Carolina | 1993-2010 ||| 100,000 | 5-year | 2000 | North Carolina ||| ||| SO2 | CO | CO | SO2 ||| International Classification of Diseases | summer | winter ||| ||| ||| emphysema | North Carolina [SUMMARY]
Piperlongumine increases the sensitivity of bladder cancer to cisplatin by mitochondrial ROS.
35466450
The development of cisplatin resistance often results in cisplatin inefficacy in advanced or recurrent bladder cancer. However, effective treatment strategies for cisplatin resistance have not been well established.
BACKGROUND
Gene expression was measured by qRT-PCR and Western blotting. CCK-8 assay was performed to detect cell survival. The number of apoptotic cells was determined using the Annexin V-PI double-staining assay. The level of reactive oxygen species (ROS) was measured using 2',7'-dichlorodihydrofluorescein diacetate fluorescent dye, and the ATP level was detected using an ATP measurement kit.
METHODS
The expression of receptor-interacting protein kinase 1 (RIPK1), a key regulator of necroptosis, gradually decreased during cisplatin resistance. We first used piperlongumine (PL) in combination with cisplatin to act on cisplatin-resistant BC cells and found that PL-induced activation of RIPK1 increased the sensitivity of T24 resistant cells to cisplatin treatment. Furthermore, we revealed that PL killed T24 cisplatin-resistant cells by triggering necroptosis, because cell death could be rescued by the mixed lineage kinase domain-like (MLKL) protein inhibitor necrotic sulfonamide or MLKL siRNA, but could not be suppressed by the apoptosis inhibitor z-VAD. We further explored the specific mechanism and found that PL activated RIPK1 to induce necroptosis in cisplatin-resistant cells by stimulating mitochondrial fission to produce excessive ROS.
RESULTS
Our results demonstrated the role of RIPK1 in cisplatin-resistant cells and the sensitization effect of the natural drug PL on bladder cancer. These may provide a new treatment strategy for overcoming cisplatin resistance in bladder cancer.
CONCLUSIONS
[ "Adenosine Triphosphate", "Apoptosis", "Cisplatin", "Dioxolanes", "Humans", "Neoplasm Recurrence, Local", "Reactive Oxygen Species", "Receptor-Interacting Protein Serine-Threonine Kinases", "Urinary Bladder Neoplasms" ]
9169161
INTRODUCTION
Bladder cancer is the most common malignancy of the urinary tract. In recent years, the incidence of bladder cancer has shown a gradual upward trend in China. 1 Transurethral resection is the main treatment for early bladder cancer; however, this standard approach is limited to advanced invasive urothelial carcinoma. Currently, cisplatin is the main chemotherapy drug for advanced bladder cancer as a single agent or key component in the treatment of metastatic bladder cancer, and it can also be used in neoadjuvant therapy combined with radical cystectomy. 2 , 3 Unfortunately, many patients in practice are considered to be “cisplatin‐ineligible.” These patients initially benefit from cisplatin treatment but ultimately develop resistance in the final stage, leading to progressive disease and therapy failure. 4 Therefore, it is necessary and urgent to explore additional approaches to effectively inhibit the progression of advanced bladder cancer. Necroptosis is a form of programmed cell death that is strictly regulated by the activation of receptor‐interacting protein kinases (RIPKs). 5 RIPK1 belongs to the RIPK family, including the seven members RIPK1–RIPK7, and controls necroptosis through its kinase function. 6 , 7 Activated RIPK1 combines with and phosphorylates RIPK3 to form a complex called the necrosome, which then transmits the phosphorylation signal to the downstream mixed lineage kinase domain‐like protein (MLKL) to localize to the cell membrane, causing cell membrane rupture and finally leading to cell death. 8 , 9 Recently, necroptosis has been considered to play a key role in the regulation of cancer biology, including oncogenesis, metastasis, immunity, and cancer subtypes. 10 , 11 Therefore, pivotal regulators of the necroptotic signaling pathway, such as RIPK1, are considered promising therapeutic targets. Piperlongumine (PL) is an alkaloid natural product derived from pepper plants, and it has a well‐characterized structure (C17H19NO5). 12 PL has traditionally been used to treat gastrointestinal and respiratory diseases. 13 In recent years, a growing number of studies have reported that PL has antitumor activity against several types of tumors, such as hepatocellular carcinoma, 14 breast cancer, 15 gastric cancer, 16 and bladder cancer. 17 Although Liu et al. have reported that PL can suppress bladder cancer invasion by inhibiting epithelial–mesenchymal transition and F‐actin reorganization, the role of PL in “cisplatin‐ineligible” bladder cancer remains obscure. In our study, we first explored the important role of RIPK1 in cisplatin resistance in bladder cancer and discovered that PL could increase the sensitivity of bladder cancer to cisplatin by mitochondrial reactive oxygen species (ROS)‐induced necroptosis. These results may provide a new treatment strategy for overcoming cisplatin resistance in bladder cancer.
null
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RESULTS
RIPK1 is an important tumor suppressor and related to the cisplatin resistance in bladder cancer tissues To detect the level of RIPK1 in bladder cancer, we first analyzed the TCGA dataset and found that RIPK1 was downregulated in bladder cancer samples compared with that in normal tissues (Figure 1A). Furthermore, we found that RIPK1 expression was associated with tumor metastasis (Figure 1B). We collected our own clinical samples, including 12 normal tissues, 14 cancer tissues from patients who were sensitive to cisplatin, and 13 cancer tissues from patients who were resistant to cisplatin, and used qRT‐PCR to detect the expression of RIPK1 in these samples. The results showed that RIPK1 had higher levels in normal tissues than in cancer tissues, which was similar to the TCGA dataset analysis (Figure 1C). Interestingly, we found that the RIPK1 expression in resistant patients was significantly lower than that in sensitive patients. In addition, we standardized RIPK1 activity with its total protein expression level and found that the relative activity of RIPK1 in patients with cisplatin resistance was also obviously decreased (Figure 1D). These findings indicate that RIPK1 may play an important role in tumor progression and that its expression may be closely related to cisplatin resistance in bladder cancer. RIPK1 expression was downregulated in patients with cisplatin‐resistant bladder cancer. (A). Expression of RIPK1 in bladder cancer based on sample types in the TCGA datasets. (B). Expression of RIPK1 in bladder cancer based on nodal metastasis status in the TCGA datasets. (C). The mRNA expression of RIPK1 in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients. (D). The RIPK1 activity (phosphorylated form) in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients, which is standard to its own protein expression level To detect the level of RIPK1 in bladder cancer, we first analyzed the TCGA dataset and found that RIPK1 was downregulated in bladder cancer samples compared with that in normal tissues (Figure 1A). Furthermore, we found that RIPK1 expression was associated with tumor metastasis (Figure 1B). We collected our own clinical samples, including 12 normal tissues, 14 cancer tissues from patients who were sensitive to cisplatin, and 13 cancer tissues from patients who were resistant to cisplatin, and used qRT‐PCR to detect the expression of RIPK1 in these samples. The results showed that RIPK1 had higher levels in normal tissues than in cancer tissues, which was similar to the TCGA dataset analysis (Figure 1C). Interestingly, we found that the RIPK1 expression in resistant patients was significantly lower than that in sensitive patients. In addition, we standardized RIPK1 activity with its total protein expression level and found that the relative activity of RIPK1 in patients with cisplatin resistance was also obviously decreased (Figure 1D). These findings indicate that RIPK1 may play an important role in tumor progression and that its expression may be closely related to cisplatin resistance in bladder cancer. RIPK1 expression was downregulated in patients with cisplatin‐resistant bladder cancer. (A). Expression of RIPK1 in bladder cancer based on sample types in the TCGA datasets. (B). Expression of RIPK1 in bladder cancer based on nodal metastasis status in the TCGA datasets. (C). The mRNA expression of RIPK1 in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients. (D). The RIPK1 activity (phosphorylated form) in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients, which is standard to its own protein expression level RIPK1 expression was downregulated with the development of cisplatin resistance in bladder cancer cells To further explore the relationship between RIPK1 expression and cisplatin resistance, we detected the expression of RIPK1 in different bladder cancer cell lines by Western blotting and tested their sensitivity to cisplatin using the CCK‐8 assay. The results showed that the cell lines with high RIPK1 expression were significantly more sensitive to cisplatin than the cell lines with low RIPK1 expression (Figure 2A,B). Next, we constructed two bladder cancer cell lines resistant to cisplatin therapy. Compared with their parental cells, J82 and T24 resistant cells were obviously insensitive to cisplatin treatment (Figure 2C,D). The IC50 values of cisplatin in J82 and T24 resistant cells were also significantly higher than those in parental cells (Figure 2C,D). We further detected the expression of RIPK1 in J82 and T24 parental and resistant cells and found that the level of RIPK1 was conspicuously reduced compared with that in the parental cells (Figure 2E). Altogether, our data indicate that RIPK1 expression was downregulated with the development of cisplatin resistance in vitro. RIPK1 expression was downregulated with the development of cisplatin resistance in bladder cancer cells. (A). Western blotting and qRT‐PCR were performed to test the level of RIPK1 in bladder cancer cells (J82, T24, RT4, and TCCSUP). (B). J82, T24, RT4, and TCCSUP cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown on the left, and the IC50 values were shown on the right. (C, D). J82 and T24 parental and resistant cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown above, and the IC50 values were shown below. (E). Western blotting was performed to detect the expression of RIPK1 in J82 and T24 parental and resistant cells To further explore the relationship between RIPK1 expression and cisplatin resistance, we detected the expression of RIPK1 in different bladder cancer cell lines by Western blotting and tested their sensitivity to cisplatin using the CCK‐8 assay. The results showed that the cell lines with high RIPK1 expression were significantly more sensitive to cisplatin than the cell lines with low RIPK1 expression (Figure 2A,B). Next, we constructed two bladder cancer cell lines resistant to cisplatin therapy. Compared with their parental cells, J82 and T24 resistant cells were obviously insensitive to cisplatin treatment (Figure 2C,D). The IC50 values of cisplatin in J82 and T24 resistant cells were also significantly higher than those in parental cells (Figure 2C,D). We further detected the expression of RIPK1 in J82 and T24 parental and resistant cells and found that the level of RIPK1 was conspicuously reduced compared with that in the parental cells (Figure 2E). Altogether, our data indicate that RIPK1 expression was downregulated with the development of cisplatin resistance in vitro. RIPK1 expression was downregulated with the development of cisplatin resistance in bladder cancer cells. (A). Western blotting and qRT‐PCR were performed to test the level of RIPK1 in bladder cancer cells (J82, T24, RT4, and TCCSUP). (B). J82, T24, RT4, and TCCSUP cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown on the left, and the IC50 values were shown on the right. (C, D). J82 and T24 parental and resistant cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown above, and the IC50 values were shown below. (E). Western blotting was performed to detect the expression of RIPK1 in J82 and T24 parental and resistant cells Apoptosis was inhibited in cisplatin‐resistant bladder cancer cells We used flow cytometry to test the apoptosis levels of J82 and T24 parental and resistant cells, as apoptosis is an important mode of cisplatin‐induced cell death. The data showed that cisplatin treatment barely induced apoptosis in the J82 and T24 resistant cells (Figure 3A,B). Consistently, caspase‐3/7 activation was also inhibited in resistant cells (Figure 3C). Therefore, our results suggest that apoptosis is inhibited in cisplatin‐resistant bladder cancer cells. Apoptosis was inhibited in cisplatin‐resistant bladder cancer cells. (A). J82 and T24 parental and resistant cells were treated with 20 µM cisplatin for 24 h. Representative density plots of flow cytometric analysis on the fraction of apoptosis cells were detected with Annexin V/PI. The histogram represents the mean values of three independent experiments shown in B. (C). After treating the J82 and T24 parental cells with 20 μM cisplatin and resistance for 24 h, the caspase‐3/7 activity in the cells was detected We used flow cytometry to test the apoptosis levels of J82 and T24 parental and resistant cells, as apoptosis is an important mode of cisplatin‐induced cell death. The data showed that cisplatin treatment barely induced apoptosis in the J82 and T24 resistant cells (Figure 3A,B). Consistently, caspase‐3/7 activation was also inhibited in resistant cells (Figure 3C). Therefore, our results suggest that apoptosis is inhibited in cisplatin‐resistant bladder cancer cells. Apoptosis was inhibited in cisplatin‐resistant bladder cancer cells. (A). J82 and T24 parental and resistant cells were treated with 20 µM cisplatin for 24 h. Representative density plots of flow cytometric analysis on the fraction of apoptosis cells were detected with Annexin V/PI. The histogram represents the mean values of three independent experiments shown in B. (C). After treating the J82 and T24 parental cells with 20 μM cisplatin and resistance for 24 h, the caspase‐3/7 activity in the cells was detected PL increased the sensitivity of resistant cells to cisplatin by activating RIPK1‐induced non‐apoptotic cell death As PL is an effective anti‐cancer agent that selectively kills cancer cells 12, we further studied whether PL could improve the sensitivity of cisplatin‐resistant cells. We discovered that PL treatment of T24 resistant cells significantly increased the expression of RIPK1 and activated RIPK1 phosphorylation (Figure 4A), suggesting that PL is an activator of RIPK1. In contrast to cisplatin treatment alone, PL activation of RIPK1 alone triggered increased cell death in T24 resistant cells (Figure 4B). Furthermore, PL in combination with cisplatin caused a higher percentage of cell death in T24 resistant cells (Figure 4B), indicating that RIPK1 activation by PL could amplify the killing effect of cisplatin. Unexpectedly, PL alone or in combination with cisplatin did not significantly enhance apoptosis in T24 resistant cells (Figure 4C). However, PL treatment caused a decrease in ATP level in T24 resistant cells (Figure 4D), suggesting that PL induced another way of cell death rather than apoptosis. To further explore the effect of RIPK1, we overexpressed RIPK1 by transfecting it with the plasmid and found that RIPK1 overexpression increased the sensitivity of cisplatin‐resistant cells (Figure 4E,F). Altogether, our results suggest that PL increased the sensitivity of cisplatin‐resistant cells by activating RIPK1‐induced non‐apoptotic cell death. PL increased the sensitivity of resistant cells to cisplatin by activating the RIPK1‐induced non‐apoptotic cell death. A total of 5 µM PL and 20 µM cisplatin alone or their combination were used to treat T24 resistant cells for 24 h. (A). The expression of RIPK1 in T24 resistant cells was assessed by Western blotting. (B). The cell viability was detected by CCK‐8 assay. (C). The apoptosis level was determined by Annexin V/PI staining. (D). The ATP level was tested using an ATP measurement kit. (E). The expression of RIPK1 in T24 resistant cells transfected with RIPK1 plasmid was analyzed by Western blotting. (F). T24 resistant cells were transfected with RIPK1 plasmid and then treated with cisplatin for 24 h. Cell viability was detected using the CCK‐8 assay As PL is an effective anti‐cancer agent that selectively kills cancer cells 12, we further studied whether PL could improve the sensitivity of cisplatin‐resistant cells. We discovered that PL treatment of T24 resistant cells significantly increased the expression of RIPK1 and activated RIPK1 phosphorylation (Figure 4A), suggesting that PL is an activator of RIPK1. In contrast to cisplatin treatment alone, PL activation of RIPK1 alone triggered increased cell death in T24 resistant cells (Figure 4B). Furthermore, PL in combination with cisplatin caused a higher percentage of cell death in T24 resistant cells (Figure 4B), indicating that RIPK1 activation by PL could amplify the killing effect of cisplatin. Unexpectedly, PL alone or in combination with cisplatin did not significantly enhance apoptosis in T24 resistant cells (Figure 4C). However, PL treatment caused a decrease in ATP level in T24 resistant cells (Figure 4D), suggesting that PL induced another way of cell death rather than apoptosis. To further explore the effect of RIPK1, we overexpressed RIPK1 by transfecting it with the plasmid and found that RIPK1 overexpression increased the sensitivity of cisplatin‐resistant cells (Figure 4E,F). Altogether, our results suggest that PL increased the sensitivity of cisplatin‐resistant cells by activating RIPK1‐induced non‐apoptotic cell death. PL increased the sensitivity of resistant cells to cisplatin by activating the RIPK1‐induced non‐apoptotic cell death. A total of 5 µM PL and 20 µM cisplatin alone or their combination were used to treat T24 resistant cells for 24 h. (A). The expression of RIPK1 in T24 resistant cells was assessed by Western blotting. (B). The cell viability was detected by CCK‐8 assay. (C). The apoptosis level was determined by Annexin V/PI staining. (D). The ATP level was tested using an ATP measurement kit. (E). The expression of RIPK1 in T24 resistant cells transfected with RIPK1 plasmid was analyzed by Western blotting. (F). T24 resistant cells were transfected with RIPK1 plasmid and then treated with cisplatin for 24 h. Cell viability was detected using the CCK‐8 assay PL‐induced necroptosis in bladder cancer resistant cells Since PL alone or in combination with cisplatin could indeed cause the death of T24 resistant cells, the level of apoptosis did not increase significantly; therefore, we further explored its underlying mechanism. In previous experiments, we found that PL could activate PIPK1, which is the key regulator of necroptosis; thus, we hypothesized that PL could trigger necroptosis in T24 resistant cells. As expected, treatment with PL alone or in combination with cisplatin did not change the total protein expression levels of RIP3 and MLKL in T24 resistant cells, but their phosphorylation levels were significantly enhanced (Figure 5A). In addition, pretreatment with an MLKL inhibitor (NSA) inhibited the cell death caused by PL treatment or its combination with cisplatin (Figure 5B). However, pretreatment with the apoptosis inhibitor z‐VAD did not achieve similar effects (Figure 5C). PL‐induced necroptosis in T24 resistant bladder cancer cells. (A). The 5 µM PL and 20 µM cisplatin (Cis) alone or their combination (Cis+PL) were used to treat T24 resistant cells for 24 h. The expression of p‐RIP3, RIP3, p‐MLKL, and MLKL were analyzed by Western blotting. (B). The 5 μM MLKL inhibitor NSA was used to pretreat T24 resistant cells for 3 h, and then, 5 µM PL or its combination with 20 µM cisplatin were used to treat the cells for another 24 h. The cell viability was detected by CCK‐8 assay. (C). After pretreating with 10 μM caspases inhibitor z‐VAD for 3 h, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. The cell viability was detected by CCK‐8 assay. (D, E). After transfecting with MLKL siRNA, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. D. The expressions of MLKL and p‐MLKL were analyzed by Western blotting. E. The cell viability was analyzed by CCK‐8 assay Furthermore, siRNA knockdown of MLKL had an effect similar to that of NSA and inhibited cell death and MLKL phosphorylation that were induced by PL alone or in combination with cisplatin (Figure 5D,E). Therefore, our results suggest that PL could eliminate T24 resistant cells by inducing necroptosis. Since PL alone or in combination with cisplatin could indeed cause the death of T24 resistant cells, the level of apoptosis did not increase significantly; therefore, we further explored its underlying mechanism. In previous experiments, we found that PL could activate PIPK1, which is the key regulator of necroptosis; thus, we hypothesized that PL could trigger necroptosis in T24 resistant cells. As expected, treatment with PL alone or in combination with cisplatin did not change the total protein expression levels of RIP3 and MLKL in T24 resistant cells, but their phosphorylation levels were significantly enhanced (Figure 5A). In addition, pretreatment with an MLKL inhibitor (NSA) inhibited the cell death caused by PL treatment or its combination with cisplatin (Figure 5B). However, pretreatment with the apoptosis inhibitor z‐VAD did not achieve similar effects (Figure 5C). PL‐induced necroptosis in T24 resistant bladder cancer cells. (A). The 5 µM PL and 20 µM cisplatin (Cis) alone or their combination (Cis+PL) were used to treat T24 resistant cells for 24 h. The expression of p‐RIP3, RIP3, p‐MLKL, and MLKL were analyzed by Western blotting. (B). The 5 μM MLKL inhibitor NSA was used to pretreat T24 resistant cells for 3 h, and then, 5 µM PL or its combination with 20 µM cisplatin were used to treat the cells for another 24 h. The cell viability was detected by CCK‐8 assay. (C). After pretreating with 10 μM caspases inhibitor z‐VAD for 3 h, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. The cell viability was detected by CCK‐8 assay. (D, E). After transfecting with MLKL siRNA, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. D. The expressions of MLKL and p‐MLKL were analyzed by Western blotting. E. The cell viability was analyzed by CCK‐8 assay Furthermore, siRNA knockdown of MLKL had an effect similar to that of NSA and inhibited cell death and MLKL phosphorylation that were induced by PL alone or in combination with cisplatin (Figure 5D,E). Therefore, our results suggest that PL could eliminate T24 resistant cells by inducing necroptosis. Excessive ROS production by mitochondria contributed to necroptosis in cisplatin‐resistant cells induced by PL We investigated why PL‐induced necroptosis in the drug‐resistant cells. It has been revealed that PL can induce ROS production and that ROS is closely associated with the anti‐cancer effects of PL. 13 , 18 ROS can activate RIPK1 by modifying three crucial cysteine residues to induce necroptosis. 19 , 20 Therefore, we used the DCFH‐DA fluorescent dye to detect ROS levels in the different drug treatment groups. As shown in Figure 6A, the level of ROS increased in the group treated with PL alone and the group treated with PL in combination with cisplatin. Because mitochondria are the major source of ROS production, 21 we next assayed their function in the group treated with PL alone and in the group treat with PL in combination with cisplatin. Surprisingly, we found a significant increase in the copy number of mitochondrial DNA (Figure 6B). This suggests that the mitochondria undergo fission under the action of PL to produce more ROS. Indeed, treatment with PL or its combination with cisplatin increased the phosphorylation level of dynamin‐related protein 1 (DRP1), the key protein of mitochondrial fission, suggesting that mitochondria are involved in excessive ROS production (Figure 6C). Over‐excessive of ROS from mitochondria contributed to PL‐induced necroptosis in cisplatin‐resistant cells. (A). T24 resistant cells were pretreated with/without 10 mM NAC for 6 h; then, the cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Fluorescence microscopy of cells was conducted following the 10 μM DCFH‐DA staining for 30 min (scale bar, 100 µm). Flow cytometry was used for the quantitative analysis of DCF. T24 resistant cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Mitochondrial DNA relative to the control is shown in B, as measured by qRT‐PCR. The expression of p‐DRP1, as analyzed by Western blotting, is shown in C. T24 resistant cells were pretreated with or without 10 mM NAC for 6 h and then treated with 5 µM PL in combination with 20 µM cisplatin (Cis+PL) for 24 h. Cell viability analyzed using the CCK‐8 assay is shown in D. The expression of RIPK1 and p‐RIPK1 analyzed by Western blotting is shown in E To further address the role of ROS, we treated the combination group with the antioxidant NAC to clear ROS (Figure 6A). The expression of p‐RIPK1 in the combination group and the survival of drug‐resistant cells were reexamined. NAC restored the high expression of p‐RIPK1 and enhanced the survival of drug‐resistant cells (Figure 6D,E), suggesting that ROS contributed to PL‐induced necroptosis in cisplatin‐resistant cells. In summary, PL induces necroptosis in cisplatin‐resistant cells by stimulating mitochondrial fission to produce excessive ROS. We investigated why PL‐induced necroptosis in the drug‐resistant cells. It has been revealed that PL can induce ROS production and that ROS is closely associated with the anti‐cancer effects of PL. 13 , 18 ROS can activate RIPK1 by modifying three crucial cysteine residues to induce necroptosis. 19 , 20 Therefore, we used the DCFH‐DA fluorescent dye to detect ROS levels in the different drug treatment groups. As shown in Figure 6A, the level of ROS increased in the group treated with PL alone and the group treated with PL in combination with cisplatin. Because mitochondria are the major source of ROS production, 21 we next assayed their function in the group treated with PL alone and in the group treat with PL in combination with cisplatin. Surprisingly, we found a significant increase in the copy number of mitochondrial DNA (Figure 6B). This suggests that the mitochondria undergo fission under the action of PL to produce more ROS. Indeed, treatment with PL or its combination with cisplatin increased the phosphorylation level of dynamin‐related protein 1 (DRP1), the key protein of mitochondrial fission, suggesting that mitochondria are involved in excessive ROS production (Figure 6C). Over‐excessive of ROS from mitochondria contributed to PL‐induced necroptosis in cisplatin‐resistant cells. (A). T24 resistant cells were pretreated with/without 10 mM NAC for 6 h; then, the cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Fluorescence microscopy of cells was conducted following the 10 μM DCFH‐DA staining for 30 min (scale bar, 100 µm). Flow cytometry was used for the quantitative analysis of DCF. T24 resistant cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Mitochondrial DNA relative to the control is shown in B, as measured by qRT‐PCR. The expression of p‐DRP1, as analyzed by Western blotting, is shown in C. T24 resistant cells were pretreated with or without 10 mM NAC for 6 h and then treated with 5 µM PL in combination with 20 µM cisplatin (Cis+PL) for 24 h. Cell viability analyzed using the CCK‐8 assay is shown in D. The expression of RIPK1 and p‐RIPK1 analyzed by Western blotting is shown in E To further address the role of ROS, we treated the combination group with the antioxidant NAC to clear ROS (Figure 6A). The expression of p‐RIPK1 in the combination group and the survival of drug‐resistant cells were reexamined. NAC restored the high expression of p‐RIPK1 and enhanced the survival of drug‐resistant cells (Figure 6D,E), suggesting that ROS contributed to PL‐induced necroptosis in cisplatin‐resistant cells. In summary, PL induces necroptosis in cisplatin‐resistant cells by stimulating mitochondrial fission to produce excessive ROS.
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[ "INTRODUCTION", "Cell culture and drug treatment", "Tissue samples", "Quantitative real‐time PCR", "Western blot analysis", "Cell survival assay", "ATP measurement", "Apoptosis assays", "Annexin V‐PI double‐staining assay", "Caspase‐3/7 activity assays", "Plasmid and siRNA transfection", "Measuring ROS", "Mitochondrial DNA quantitation", "Statistical analysis", "RIPK1 is an important tumor suppressor and related to the cisplatin resistance in bladder cancer tissues", "RIPK1 expression was downregulated with the development of cisplatin resistance in bladder cancer cells", "Apoptosis was inhibited in cisplatin‐resistant bladder cancer cells", "PL increased the sensitivity of resistant cells to cisplatin by activating RIPK1‐induced non‐apoptotic cell death", "PL‐induced necroptosis in bladder cancer resistant cells", "Excessive ROS production by mitochondria contributed to necroptosis in cisplatin‐resistant cells induced by PL", "AUTHOR CONTRIBUTIONS" ]
[ "Bladder cancer is the most common malignancy of the urinary tract. In recent years, the incidence of bladder cancer has shown a gradual upward trend in China.\n1\n Transurethral resection is the main treatment for early bladder cancer; however, this standard approach is limited to advanced invasive urothelial carcinoma. Currently, cisplatin is the main chemotherapy drug for advanced bladder cancer as a single agent or key component in the treatment of metastatic bladder cancer, and it can also be used in neoadjuvant therapy combined with radical cystectomy.\n2\n, \n3\n Unfortunately, many patients in practice are considered to be “cisplatin‐ineligible.” These patients initially benefit from cisplatin treatment but ultimately develop resistance in the final stage, leading to progressive disease and therapy failure.\n4\n Therefore, it is necessary and urgent to explore additional approaches to effectively inhibit the progression of advanced bladder cancer.\nNecroptosis is a form of programmed cell death that is strictly regulated by the activation of receptor‐interacting protein kinases (RIPKs).\n5\n RIPK1 belongs to the RIPK family, including the seven members RIPK1–RIPK7, and controls necroptosis through its kinase function.\n6\n, \n7\n Activated RIPK1 combines with and phosphorylates RIPK3 to form a complex called the necrosome, which then transmits the phosphorylation signal to the downstream mixed lineage kinase domain‐like protein (MLKL) to localize to the cell membrane, causing cell membrane rupture and finally leading to cell death.\n8\n, \n9\n Recently, necroptosis has been considered to play a key role in the regulation of cancer biology, including oncogenesis, metastasis, immunity, and cancer subtypes.\n10\n, \n11\n Therefore, pivotal regulators of the necroptotic signaling pathway, such as RIPK1, are considered promising therapeutic targets.\nPiperlongumine (PL) is an alkaloid natural product derived from pepper plants, and it has a well‐characterized structure (C17H19NO5).\n12\n PL has traditionally been used to treat gastrointestinal and respiratory diseases.\n13\n In recent years, a growing number of studies have reported that PL has antitumor activity against several types of tumors, such as hepatocellular carcinoma,\n14\n breast cancer,\n15\n gastric cancer,\n16\n and bladder cancer.\n17\n Although Liu et al. have reported that PL can suppress bladder cancer invasion by inhibiting epithelial–mesenchymal transition and F‐actin reorganization, the role of PL in “cisplatin‐ineligible” bladder cancer remains obscure.\nIn our study, we first explored the important role of RIPK1 in cisplatin resistance in bladder cancer and discovered that PL could increase the sensitivity of bladder cancer to cisplatin by mitochondrial reactive oxygen species (ROS)‐induced necroptosis. These results may provide a new treatment strategy for overcoming cisplatin resistance in bladder cancer.", "All bladder cancer cell lines, including J82, T24, RT4, and TCCSUP, were purchased from Shanghai Institute of Cell Biology, Chinese Academy of Sciences. These cells were maintained at 37°C and 5% CO2 in a humid environment and cultured in a suitable medium containing 10% fetal bovine serum. Cells were collected in mid‐log phase for related experiments. As previously described 4, a progressively increasing concentration gradient was used to induce cisplatin resistance in bladder cancer cell lines. Then, 10 µM piperlongumine was used to treat the cisplatin‐resistant cells.", "Human bladder cancer tissues were obtained from 27 patients who underwent cisplatin‐based chemotherapy at The Affiliated People's Hospital of Ningbo University. All patients provided written informed consent prior to treatment and surgery. The patients were divided into two groups based on their therapy outcomes: 14 in the sensitive group and 13 in the resistant group, of which 12 cases of normal adjacent tissues were taken from the two groups. Patients who relapsed after cisplatin treatment were considered cisplatin‐resistant. The study protocol was approved by the Ethics Committee of The Affiliated People's Hospital of Ningbo University.", "Total RNA was extracted using the TRIzol reagent (Invitrogen). Reverse transcription was performed using a PrimeScript RT Master Mix kit (Takara). The cDNAs were amplified by qRT‐PCR using SYBR Green PCR Master Mix (Roche,) on a LightCycler480 system, and relative abundance was normalized to the expression of the endogenous control, GAPDH. The PCR primers used are listed in Table 1.\nOligonucleotide sequence of primer set used to amplify in each cDNA", "Proteins were separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis according to molecular weight, transferred to a polyvinylidene fluoride membrane (Bio‐Rad), and blocked with TBS‐T containing 5% non‐fat dry milk. Anti‐RIPK1 (1:1000, Cell Signaling Technology,), anti‐p‐RIPK1 (1:1000 CST), anti‐RIPK3 (1:1000; Abcam,), anti‐p‐RIPK3 (1:1000; Abcam), anti‐MLKL (1:1000; Abcam), anti‐p‐MLKL (1:1000; Abcam), anti‐p‐DRP1(1:1000; Abcam), and anti‐GAPDH (1:1000; Abcam) antibodies were diluted with TBS‐T containing 3% non‐fat dry milk and incubated overnight at 4°C. After washing in TBS‐T, the membranes were incubated with a horseradish peroxidase‐conjugated secondary antibody (1:5000; Abcam,) for 1 h. It was washed again in TBS‐T and developed using ECL‐Plus (GE Healthcare, Life Sciences,).", "The cells were seeded in a 96‐well plate at 1 × 105 cells/well and cultured for 24 h. Cisplatin was then added at different concentrations to continue the culture for 24 h. A total of 10 μl of CCK‐8 (Dojindo, Japan) solution was added to each well and incubated at 37°C for 3 h. An iMark™ microplate reader (Bio‐Rad,) was used to measure the absorbance at 450 nm.", "ATP levels were measured using an ATP measurement kit (Beyotime Biotech,), according to the manufacturer's instructions. Briefly, approximately 1 × 106 cells per well were seeded into a 6‐well plate. After treatment with or without targeted drugs for a specified period of time, the corresponding cells were collected and washed. The harvested cells were dissolved in ATP extract and then centrifuged at 12,000 × g at 4°C for 5 min. The supernatant was used as the sample to be detected and kept in an ice bath for later use. Samples were mixed with ATP reaction buffer, and a photometer (SpectraMax ID3, Molecular Devices) was used to assay the RLU values. The values of the different groups were standardized according to their own protein content.", "Annexin V‐PI double‐staining assay The integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA).\nThe integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA).\nCaspase‐3/7 activity assays According to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system.\nAccording to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system.", "The integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA).", "According to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system.", "The T24 cisplatin‐resistant cell line was selected for the knockdown of MLKL mRNA. Specific and non‐specific scrambled siRNAs were purchased from GenePharma. The T24 resistant cell line was also chosen to overexpress RIPK1. The pGV657‐3Flag‐RIPK1 plasmid and control plasmids were purchased from GeneChem. Cell transfection was performed using Lipofectamine™ 3000 reagent (Invitrogen, Thermo Fisher Scientific,), following the manufacturer's instructions.", "The cells were seeded in a 6‐well plate at 3 × 105 cells/well and cultured overnight. The cells were then treated with or without 10 μM N‐acetylcysteine (NAC) for 6 h. Then, the cells were incubated with 10 µmol/L 2’,7'‐dichlorodihydrofluorescein diacetate (DCFH‐DA) at 37℃ for 30 min to assess the ROS‐mediated oxidation of DCFH‐DA to the fluorescent compound DCF. Images of green fluorescence of DCF in the cells were acquired using a Nikon Ti‐U fluorescence microscope. Next, the stained cells were harvested and resuspended in 1 ml PBS. Fluorescence intensity was analyzed using a FACScan flow cytometer (Becton‐Dickinson,) at an excitation wavelength of 480 nm and an emission wavelength of 525 nm.", "The Kaneka Easy DNA Extraction Kit (KN‐T110005, Kaneka) was used to extract total DNA from the cells following the manufacturer's instructions. The specific primers used to quantify mitochondrial DNA and nuclear DNA are listed in Table 1. The comparative change‐in‐cycle method (ΔΔCT) was used to quantify the relative change in transcript copy number.", "An unpaired t test was used to analyze the differences between the two groups. All experiments were performed at least three times and expressed as mean ±standard error (SEM). Statistical significance was set at p < 0.05. *p < 0.05, **p < 0.01, and ***p < 0.001.", "To detect the level of RIPK1 in bladder cancer, we first analyzed the TCGA dataset and found that RIPK1 was downregulated in bladder cancer samples compared with that in normal tissues (Figure 1A). Furthermore, we found that RIPK1 expression was associated with tumor metastasis (Figure 1B). We collected our own clinical samples, including 12 normal tissues, 14 cancer tissues from patients who were sensitive to cisplatin, and 13 cancer tissues from patients who were resistant to cisplatin, and used qRT‐PCR to detect the expression of RIPK1 in these samples. The results showed that RIPK1 had higher levels in normal tissues than in cancer tissues, which was similar to the TCGA dataset analysis (Figure 1C). Interestingly, we found that the RIPK1 expression in resistant patients was significantly lower than that in sensitive patients. In addition, we standardized RIPK1 activity with its total protein expression level and found that the relative activity of RIPK1 in patients with cisplatin resistance was also obviously decreased (Figure 1D). These findings indicate that RIPK1 may play an important role in tumor progression and that its expression may be closely related to cisplatin resistance in bladder cancer.\nRIPK1 expression was downregulated in patients with cisplatin‐resistant bladder cancer. (A). Expression of RIPK1 in bladder cancer based on sample types in the TCGA datasets. (B). Expression of RIPK1 in bladder cancer based on nodal metastasis status in the TCGA datasets. (C). The mRNA expression of RIPK1 in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients. (D). The RIPK1 activity (phosphorylated form) in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients, which is standard to its own protein expression level", "To further explore the relationship between RIPK1 expression and cisplatin resistance, we detected the expression of RIPK1 in different bladder cancer cell lines by Western blotting and tested their sensitivity to cisplatin using the CCK‐8 assay. The results showed that the cell lines with high RIPK1 expression were significantly more sensitive to cisplatin than the cell lines with low RIPK1 expression (Figure 2A,B). Next, we constructed two bladder cancer cell lines resistant to cisplatin therapy. Compared with their parental cells, J82 and T24 resistant cells were obviously insensitive to cisplatin treatment (Figure 2C,D). The IC50 values of cisplatin in J82 and T24 resistant cells were also significantly higher than those in parental cells (Figure 2C,D). We further detected the expression of RIPK1 in J82 and T24 parental and resistant cells and found that the level of RIPK1 was conspicuously reduced compared with that in the parental cells (Figure 2E). Altogether, our data indicate that RIPK1 expression was downregulated with the development of cisplatin resistance in vitro.\nRIPK1 expression was downregulated with the development of cisplatin resistance in bladder cancer cells. (A). Western blotting and qRT‐PCR were performed to test the level of RIPK1 in bladder cancer cells (J82, T24, RT4, and TCCSUP). (B). J82, T24, RT4, and TCCSUP cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown on the left, and the IC50 values were shown on the right. (C, D). J82 and T24 parental and resistant cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown above, and the IC50 values were shown below. (E). Western blotting was performed to detect the expression of RIPK1 in J82 and T24 parental and resistant cells", "We used flow cytometry to test the apoptosis levels of J82 and T24 parental and resistant cells, as apoptosis is an important mode of cisplatin‐induced cell death. The data showed that cisplatin treatment barely induced apoptosis in the J82 and T24 resistant cells (Figure 3A,B). Consistently, caspase‐3/7 activation was also inhibited in resistant cells (Figure 3C). Therefore, our results suggest that apoptosis is inhibited in cisplatin‐resistant bladder cancer cells.\nApoptosis was inhibited in cisplatin‐resistant bladder cancer cells. (A). J82 and T24 parental and resistant cells were treated with 20 µM cisplatin for 24 h. Representative density plots of flow cytometric analysis on the fraction of apoptosis cells were detected with Annexin V/PI. The histogram represents the mean values of three independent experiments shown in B. (C). After treating the J82 and T24 parental cells with 20 μM cisplatin and resistance for 24 h, the caspase‐3/7 activity in the cells was detected", "As PL is an effective anti‐cancer agent that selectively kills cancer cells 12, we further studied whether PL could improve the sensitivity of cisplatin‐resistant cells. We discovered that PL treatment of T24 resistant cells significantly increased the expression of RIPK1 and activated RIPK1 phosphorylation (Figure 4A), suggesting that PL is an activator of RIPK1. In contrast to cisplatin treatment alone, PL activation of RIPK1 alone triggered increased cell death in T24 resistant cells (Figure 4B). Furthermore, PL in combination with cisplatin caused a higher percentage of cell death in T24 resistant cells (Figure 4B), indicating that RIPK1 activation by PL could amplify the killing effect of cisplatin. Unexpectedly, PL alone or in combination with cisplatin did not significantly enhance apoptosis in T24 resistant cells (Figure 4C). However, PL treatment caused a decrease in ATP level in T24 resistant cells (Figure 4D), suggesting that PL induced another way of cell death rather than apoptosis. To further explore the effect of RIPK1, we overexpressed RIPK1 by transfecting it with the plasmid and found that RIPK1 overexpression increased the sensitivity of cisplatin‐resistant cells (Figure 4E,F). Altogether, our results suggest that PL increased the sensitivity of cisplatin‐resistant cells by activating RIPK1‐induced non‐apoptotic cell death.\nPL increased the sensitivity of resistant cells to cisplatin by activating the RIPK1‐induced non‐apoptotic cell death. A total of 5 µM PL and 20 µM cisplatin alone or their combination were used to treat T24 resistant cells for 24 h. (A). The expression of RIPK1 in T24 resistant cells was assessed by Western blotting. (B). The cell viability was detected by CCK‐8 assay. (C). The apoptosis level was determined by Annexin V/PI staining. (D). The ATP level was tested using an ATP measurement kit. (E). The expression of RIPK1 in T24 resistant cells transfected with RIPK1 plasmid was analyzed by Western blotting. (F). T24 resistant cells were transfected with RIPK1 plasmid and then treated with cisplatin for 24 h. Cell viability was detected using the CCK‐8 assay", "Since PL alone or in combination with cisplatin could indeed cause the death of T24 resistant cells, the level of apoptosis did not increase significantly; therefore, we further explored its underlying mechanism. In previous experiments, we found that PL could activate PIPK1, which is the key regulator of necroptosis; thus, we hypothesized that PL could trigger necroptosis in T24 resistant cells. As expected, treatment with PL alone or in combination with cisplatin did not change the total protein expression levels of RIP3 and MLKL in T24 resistant cells, but their phosphorylation levels were significantly enhanced (Figure 5A). In addition, pretreatment with an MLKL inhibitor (NSA) inhibited the cell death caused by PL treatment or its combination with cisplatin (Figure 5B). However, pretreatment with the apoptosis inhibitor z‐VAD did not achieve similar effects (Figure 5C).\nPL‐induced necroptosis in T24 resistant bladder cancer cells. (A). The 5 µM PL and 20 µM cisplatin (Cis) alone or their combination (Cis+PL) were used to treat T24 resistant cells for 24 h. The expression of p‐RIP3, RIP3, p‐MLKL, and MLKL were analyzed by Western blotting. (B). The 5 μM MLKL inhibitor NSA was used to pretreat T24 resistant cells for 3 h, and then, 5 µM PL or its combination with 20 µM cisplatin were used to treat the cells for another 24 h. The cell viability was detected by CCK‐8 assay. (C). After pretreating with 10 μM caspases inhibitor z‐VAD for 3 h, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. The cell viability was detected by CCK‐8 assay. (D, E). After transfecting with MLKL siRNA, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. D. The expressions of MLKL and p‐MLKL were analyzed by Western blotting. E. The cell viability was analyzed by CCK‐8 assay\nFurthermore, siRNA knockdown of MLKL had an effect similar to that of NSA and inhibited cell death and MLKL phosphorylation that were induced by PL alone or in combination with cisplatin (Figure 5D,E). Therefore, our results suggest that PL could eliminate T24 resistant cells by inducing necroptosis.", "We investigated why PL‐induced necroptosis in the drug‐resistant cells. It has been revealed that PL can induce ROS production and that ROS is closely associated with the anti‐cancer effects of PL.\n13\n, \n18\n ROS can activate RIPK1 by modifying three crucial cysteine residues to induce necroptosis.\n19\n, \n20\n Therefore, we used the DCFH‐DA fluorescent dye to detect ROS levels in the different drug treatment groups. As shown in Figure 6A, the level of ROS increased in the group treated with PL alone and the group treated with PL in combination with cisplatin. Because mitochondria are the major source of ROS production,\n21\n we next assayed their function in the group treated with PL alone and in the group treat with PL in combination with cisplatin. Surprisingly, we found a significant increase in the copy number of mitochondrial DNA (Figure 6B). This suggests that the mitochondria undergo fission under the action of PL to produce more ROS. Indeed, treatment with PL or its combination with cisplatin increased the phosphorylation level of dynamin‐related protein 1 (DRP1), the key protein of mitochondrial fission, suggesting that mitochondria are involved in excessive ROS production (Figure 6C).\nOver‐excessive of ROS from mitochondria contributed to PL‐induced necroptosis in cisplatin‐resistant cells. (A). T24 resistant cells were pretreated with/without 10 mM NAC for 6 h; then, the cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Fluorescence microscopy of cells was conducted following the 10 μM DCFH‐DA staining for 30 min (scale bar, 100 µm). Flow cytometry was used for the quantitative analysis of DCF. T24 resistant cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Mitochondrial DNA relative to the control is shown in B, as measured by qRT‐PCR. The expression of p‐DRP1, as analyzed by Western blotting, is shown in C. T24 resistant cells were pretreated with or without 10 mM NAC for 6 h and then treated with 5 µM PL in combination with 20 µM cisplatin (Cis+PL) for 24 h. Cell viability analyzed using the CCK‐8 assay is shown in D. The expression of RIPK1 and p‐RIPK1 analyzed by Western blotting is shown in E\nTo further address the role of ROS, we treated the combination group with the antioxidant NAC to clear ROS (Figure 6A). The expression of p‐RIPK1 in the combination group and the survival of drug‐resistant cells were reexamined. NAC restored the high expression of p‐RIPK1 and enhanced the survival of drug‐resistant cells (Figure 6D,E), suggesting that ROS contributed to PL‐induced necroptosis in cisplatin‐resistant cells. In summary, PL induces necroptosis in cisplatin‐resistant cells by stimulating mitochondrial fission to produce excessive ROS.", "XP conceived the study and established its initial design. GC and WH performed the experiments and analyzed the data. XP prepared the study. All the authors have read and approved the final study. XP and GC confirmed the authenticity of the raw data." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "INTRODUCTION", "MATERIALS AND METHODS", "Cell culture and drug treatment", "Tissue samples", "Quantitative real‐time PCR", "Western blot analysis", "Cell survival assay", "ATP measurement", "Apoptosis assays", "Annexin V‐PI double‐staining assay", "Caspase‐3/7 activity assays", "Plasmid and siRNA transfection", "Measuring ROS", "Mitochondrial DNA quantitation", "Statistical analysis", "RESULTS", "RIPK1 is an important tumor suppressor and related to the cisplatin resistance in bladder cancer tissues", "RIPK1 expression was downregulated with the development of cisplatin resistance in bladder cancer cells", "Apoptosis was inhibited in cisplatin‐resistant bladder cancer cells", "PL increased the sensitivity of resistant cells to cisplatin by activating RIPK1‐induced non‐apoptotic cell death", "PL‐induced necroptosis in bladder cancer resistant cells", "Excessive ROS production by mitochondria contributed to necroptosis in cisplatin‐resistant cells induced by PL", "DISCUSSION", "CONFLICT OF INTERESTS", "AUTHOR CONTRIBUTIONS" ]
[ "Bladder cancer is the most common malignancy of the urinary tract. In recent years, the incidence of bladder cancer has shown a gradual upward trend in China.\n1\n Transurethral resection is the main treatment for early bladder cancer; however, this standard approach is limited to advanced invasive urothelial carcinoma. Currently, cisplatin is the main chemotherapy drug for advanced bladder cancer as a single agent or key component in the treatment of metastatic bladder cancer, and it can also be used in neoadjuvant therapy combined with radical cystectomy.\n2\n, \n3\n Unfortunately, many patients in practice are considered to be “cisplatin‐ineligible.” These patients initially benefit from cisplatin treatment but ultimately develop resistance in the final stage, leading to progressive disease and therapy failure.\n4\n Therefore, it is necessary and urgent to explore additional approaches to effectively inhibit the progression of advanced bladder cancer.\nNecroptosis is a form of programmed cell death that is strictly regulated by the activation of receptor‐interacting protein kinases (RIPKs).\n5\n RIPK1 belongs to the RIPK family, including the seven members RIPK1–RIPK7, and controls necroptosis through its kinase function.\n6\n, \n7\n Activated RIPK1 combines with and phosphorylates RIPK3 to form a complex called the necrosome, which then transmits the phosphorylation signal to the downstream mixed lineage kinase domain‐like protein (MLKL) to localize to the cell membrane, causing cell membrane rupture and finally leading to cell death.\n8\n, \n9\n Recently, necroptosis has been considered to play a key role in the regulation of cancer biology, including oncogenesis, metastasis, immunity, and cancer subtypes.\n10\n, \n11\n Therefore, pivotal regulators of the necroptotic signaling pathway, such as RIPK1, are considered promising therapeutic targets.\nPiperlongumine (PL) is an alkaloid natural product derived from pepper plants, and it has a well‐characterized structure (C17H19NO5).\n12\n PL has traditionally been used to treat gastrointestinal and respiratory diseases.\n13\n In recent years, a growing number of studies have reported that PL has antitumor activity against several types of tumors, such as hepatocellular carcinoma,\n14\n breast cancer,\n15\n gastric cancer,\n16\n and bladder cancer.\n17\n Although Liu et al. have reported that PL can suppress bladder cancer invasion by inhibiting epithelial–mesenchymal transition and F‐actin reorganization, the role of PL in “cisplatin‐ineligible” bladder cancer remains obscure.\nIn our study, we first explored the important role of RIPK1 in cisplatin resistance in bladder cancer and discovered that PL could increase the sensitivity of bladder cancer to cisplatin by mitochondrial reactive oxygen species (ROS)‐induced necroptosis. These results may provide a new treatment strategy for overcoming cisplatin resistance in bladder cancer.", "Cell culture and drug treatment All bladder cancer cell lines, including J82, T24, RT4, and TCCSUP, were purchased from Shanghai Institute of Cell Biology, Chinese Academy of Sciences. These cells were maintained at 37°C and 5% CO2 in a humid environment and cultured in a suitable medium containing 10% fetal bovine serum. Cells were collected in mid‐log phase for related experiments. As previously described 4, a progressively increasing concentration gradient was used to induce cisplatin resistance in bladder cancer cell lines. Then, 10 µM piperlongumine was used to treat the cisplatin‐resistant cells.\nAll bladder cancer cell lines, including J82, T24, RT4, and TCCSUP, were purchased from Shanghai Institute of Cell Biology, Chinese Academy of Sciences. These cells were maintained at 37°C and 5% CO2 in a humid environment and cultured in a suitable medium containing 10% fetal bovine serum. Cells were collected in mid‐log phase for related experiments. As previously described 4, a progressively increasing concentration gradient was used to induce cisplatin resistance in bladder cancer cell lines. Then, 10 µM piperlongumine was used to treat the cisplatin‐resistant cells.\nTissue samples Human bladder cancer tissues were obtained from 27 patients who underwent cisplatin‐based chemotherapy at The Affiliated People's Hospital of Ningbo University. All patients provided written informed consent prior to treatment and surgery. The patients were divided into two groups based on their therapy outcomes: 14 in the sensitive group and 13 in the resistant group, of which 12 cases of normal adjacent tissues were taken from the two groups. Patients who relapsed after cisplatin treatment were considered cisplatin‐resistant. The study protocol was approved by the Ethics Committee of The Affiliated People's Hospital of Ningbo University.\nHuman bladder cancer tissues were obtained from 27 patients who underwent cisplatin‐based chemotherapy at The Affiliated People's Hospital of Ningbo University. All patients provided written informed consent prior to treatment and surgery. The patients were divided into two groups based on their therapy outcomes: 14 in the sensitive group and 13 in the resistant group, of which 12 cases of normal adjacent tissues were taken from the two groups. Patients who relapsed after cisplatin treatment were considered cisplatin‐resistant. The study protocol was approved by the Ethics Committee of The Affiliated People's Hospital of Ningbo University.\nQuantitative real‐time PCR Total RNA was extracted using the TRIzol reagent (Invitrogen). Reverse transcription was performed using a PrimeScript RT Master Mix kit (Takara). The cDNAs were amplified by qRT‐PCR using SYBR Green PCR Master Mix (Roche,) on a LightCycler480 system, and relative abundance was normalized to the expression of the endogenous control, GAPDH. The PCR primers used are listed in Table 1.\nOligonucleotide sequence of primer set used to amplify in each cDNA\nTotal RNA was extracted using the TRIzol reagent (Invitrogen). Reverse transcription was performed using a PrimeScript RT Master Mix kit (Takara). The cDNAs were amplified by qRT‐PCR using SYBR Green PCR Master Mix (Roche,) on a LightCycler480 system, and relative abundance was normalized to the expression of the endogenous control, GAPDH. The PCR primers used are listed in Table 1.\nOligonucleotide sequence of primer set used to amplify in each cDNA\nWestern blot analysis Proteins were separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis according to molecular weight, transferred to a polyvinylidene fluoride membrane (Bio‐Rad), and blocked with TBS‐T containing 5% non‐fat dry milk. Anti‐RIPK1 (1:1000, Cell Signaling Technology,), anti‐p‐RIPK1 (1:1000 CST), anti‐RIPK3 (1:1000; Abcam,), anti‐p‐RIPK3 (1:1000; Abcam), anti‐MLKL (1:1000; Abcam), anti‐p‐MLKL (1:1000; Abcam), anti‐p‐DRP1(1:1000; Abcam), and anti‐GAPDH (1:1000; Abcam) antibodies were diluted with TBS‐T containing 3% non‐fat dry milk and incubated overnight at 4°C. After washing in TBS‐T, the membranes were incubated with a horseradish peroxidase‐conjugated secondary antibody (1:5000; Abcam,) for 1 h. It was washed again in TBS‐T and developed using ECL‐Plus (GE Healthcare, Life Sciences,).\nProteins were separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis according to molecular weight, transferred to a polyvinylidene fluoride membrane (Bio‐Rad), and blocked with TBS‐T containing 5% non‐fat dry milk. Anti‐RIPK1 (1:1000, Cell Signaling Technology,), anti‐p‐RIPK1 (1:1000 CST), anti‐RIPK3 (1:1000; Abcam,), anti‐p‐RIPK3 (1:1000; Abcam), anti‐MLKL (1:1000; Abcam), anti‐p‐MLKL (1:1000; Abcam), anti‐p‐DRP1(1:1000; Abcam), and anti‐GAPDH (1:1000; Abcam) antibodies were diluted with TBS‐T containing 3% non‐fat dry milk and incubated overnight at 4°C. After washing in TBS‐T, the membranes were incubated with a horseradish peroxidase‐conjugated secondary antibody (1:5000; Abcam,) for 1 h. It was washed again in TBS‐T and developed using ECL‐Plus (GE Healthcare, Life Sciences,).\nCell survival assay The cells were seeded in a 96‐well plate at 1 × 105 cells/well and cultured for 24 h. Cisplatin was then added at different concentrations to continue the culture for 24 h. A total of 10 μl of CCK‐8 (Dojindo, Japan) solution was added to each well and incubated at 37°C for 3 h. An iMark™ microplate reader (Bio‐Rad,) was used to measure the absorbance at 450 nm.\nThe cells were seeded in a 96‐well plate at 1 × 105 cells/well and cultured for 24 h. Cisplatin was then added at different concentrations to continue the culture for 24 h. A total of 10 μl of CCK‐8 (Dojindo, Japan) solution was added to each well and incubated at 37°C for 3 h. An iMark™ microplate reader (Bio‐Rad,) was used to measure the absorbance at 450 nm.\nATP measurement ATP levels were measured using an ATP measurement kit (Beyotime Biotech,), according to the manufacturer's instructions. Briefly, approximately 1 × 106 cells per well were seeded into a 6‐well plate. After treatment with or without targeted drugs for a specified period of time, the corresponding cells were collected and washed. The harvested cells were dissolved in ATP extract and then centrifuged at 12,000 × g at 4°C for 5 min. The supernatant was used as the sample to be detected and kept in an ice bath for later use. Samples were mixed with ATP reaction buffer, and a photometer (SpectraMax ID3, Molecular Devices) was used to assay the RLU values. The values of the different groups were standardized according to their own protein content.\nATP levels were measured using an ATP measurement kit (Beyotime Biotech,), according to the manufacturer's instructions. Briefly, approximately 1 × 106 cells per well were seeded into a 6‐well plate. After treatment with or without targeted drugs for a specified period of time, the corresponding cells were collected and washed. The harvested cells were dissolved in ATP extract and then centrifuged at 12,000 × g at 4°C for 5 min. The supernatant was used as the sample to be detected and kept in an ice bath for later use. Samples were mixed with ATP reaction buffer, and a photometer (SpectraMax ID3, Molecular Devices) was used to assay the RLU values. The values of the different groups were standardized according to their own protein content.\nApoptosis assays Annexin V‐PI double‐staining assay The integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA).\nThe integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA).\nCaspase‐3/7 activity assays According to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system.\nAccording to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system.\nAnnexin V‐PI double‐staining assay The integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA).\nThe integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA).\nCaspase‐3/7 activity assays According to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system.\nAccording to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system.\nPlasmid and siRNA transfection The T24 cisplatin‐resistant cell line was selected for the knockdown of MLKL mRNA. Specific and non‐specific scrambled siRNAs were purchased from GenePharma. The T24 resistant cell line was also chosen to overexpress RIPK1. The pGV657‐3Flag‐RIPK1 plasmid and control plasmids were purchased from GeneChem. Cell transfection was performed using Lipofectamine™ 3000 reagent (Invitrogen, Thermo Fisher Scientific,), following the manufacturer's instructions.\nThe T24 cisplatin‐resistant cell line was selected for the knockdown of MLKL mRNA. Specific and non‐specific scrambled siRNAs were purchased from GenePharma. The T24 resistant cell line was also chosen to overexpress RIPK1. The pGV657‐3Flag‐RIPK1 plasmid and control plasmids were purchased from GeneChem. Cell transfection was performed using Lipofectamine™ 3000 reagent (Invitrogen, Thermo Fisher Scientific,), following the manufacturer's instructions.\nMeasuring ROS The cells were seeded in a 6‐well plate at 3 × 105 cells/well and cultured overnight. The cells were then treated with or without 10 μM N‐acetylcysteine (NAC) for 6 h. Then, the cells were incubated with 10 µmol/L 2’,7'‐dichlorodihydrofluorescein diacetate (DCFH‐DA) at 37℃ for 30 min to assess the ROS‐mediated oxidation of DCFH‐DA to the fluorescent compound DCF. Images of green fluorescence of DCF in the cells were acquired using a Nikon Ti‐U fluorescence microscope. Next, the stained cells were harvested and resuspended in 1 ml PBS. Fluorescence intensity was analyzed using a FACScan flow cytometer (Becton‐Dickinson,) at an excitation wavelength of 480 nm and an emission wavelength of 525 nm.\nThe cells were seeded in a 6‐well plate at 3 × 105 cells/well and cultured overnight. The cells were then treated with or without 10 μM N‐acetylcysteine (NAC) for 6 h. Then, the cells were incubated with 10 µmol/L 2’,7'‐dichlorodihydrofluorescein diacetate (DCFH‐DA) at 37℃ for 30 min to assess the ROS‐mediated oxidation of DCFH‐DA to the fluorescent compound DCF. Images of green fluorescence of DCF in the cells were acquired using a Nikon Ti‐U fluorescence microscope. Next, the stained cells were harvested and resuspended in 1 ml PBS. Fluorescence intensity was analyzed using a FACScan flow cytometer (Becton‐Dickinson,) at an excitation wavelength of 480 nm and an emission wavelength of 525 nm.\nMitochondrial DNA quantitation The Kaneka Easy DNA Extraction Kit (KN‐T110005, Kaneka) was used to extract total DNA from the cells following the manufacturer's instructions. The specific primers used to quantify mitochondrial DNA and nuclear DNA are listed in Table 1. The comparative change‐in‐cycle method (ΔΔCT) was used to quantify the relative change in transcript copy number.\nThe Kaneka Easy DNA Extraction Kit (KN‐T110005, Kaneka) was used to extract total DNA from the cells following the manufacturer's instructions. The specific primers used to quantify mitochondrial DNA and nuclear DNA are listed in Table 1. The comparative change‐in‐cycle method (ΔΔCT) was used to quantify the relative change in transcript copy number.\nStatistical analysis An unpaired t test was used to analyze the differences between the two groups. All experiments were performed at least three times and expressed as mean ±standard error (SEM). Statistical significance was set at p < 0.05. *p < 0.05, **p < 0.01, and ***p < 0.001.\nAn unpaired t test was used to analyze the differences between the two groups. All experiments were performed at least three times and expressed as mean ±standard error (SEM). Statistical significance was set at p < 0.05. *p < 0.05, **p < 0.01, and ***p < 0.001.", "All bladder cancer cell lines, including J82, T24, RT4, and TCCSUP, were purchased from Shanghai Institute of Cell Biology, Chinese Academy of Sciences. These cells were maintained at 37°C and 5% CO2 in a humid environment and cultured in a suitable medium containing 10% fetal bovine serum. Cells were collected in mid‐log phase for related experiments. As previously described 4, a progressively increasing concentration gradient was used to induce cisplatin resistance in bladder cancer cell lines. Then, 10 µM piperlongumine was used to treat the cisplatin‐resistant cells.", "Human bladder cancer tissues were obtained from 27 patients who underwent cisplatin‐based chemotherapy at The Affiliated People's Hospital of Ningbo University. All patients provided written informed consent prior to treatment and surgery. The patients were divided into two groups based on their therapy outcomes: 14 in the sensitive group and 13 in the resistant group, of which 12 cases of normal adjacent tissues were taken from the two groups. Patients who relapsed after cisplatin treatment were considered cisplatin‐resistant. The study protocol was approved by the Ethics Committee of The Affiliated People's Hospital of Ningbo University.", "Total RNA was extracted using the TRIzol reagent (Invitrogen). Reverse transcription was performed using a PrimeScript RT Master Mix kit (Takara). The cDNAs were amplified by qRT‐PCR using SYBR Green PCR Master Mix (Roche,) on a LightCycler480 system, and relative abundance was normalized to the expression of the endogenous control, GAPDH. The PCR primers used are listed in Table 1.\nOligonucleotide sequence of primer set used to amplify in each cDNA", "Proteins were separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis according to molecular weight, transferred to a polyvinylidene fluoride membrane (Bio‐Rad), and blocked with TBS‐T containing 5% non‐fat dry milk. Anti‐RIPK1 (1:1000, Cell Signaling Technology,), anti‐p‐RIPK1 (1:1000 CST), anti‐RIPK3 (1:1000; Abcam,), anti‐p‐RIPK3 (1:1000; Abcam), anti‐MLKL (1:1000; Abcam), anti‐p‐MLKL (1:1000; Abcam), anti‐p‐DRP1(1:1000; Abcam), and anti‐GAPDH (1:1000; Abcam) antibodies were diluted with TBS‐T containing 3% non‐fat dry milk and incubated overnight at 4°C. After washing in TBS‐T, the membranes were incubated with a horseradish peroxidase‐conjugated secondary antibody (1:5000; Abcam,) for 1 h. It was washed again in TBS‐T and developed using ECL‐Plus (GE Healthcare, Life Sciences,).", "The cells were seeded in a 96‐well plate at 1 × 105 cells/well and cultured for 24 h. Cisplatin was then added at different concentrations to continue the culture for 24 h. A total of 10 μl of CCK‐8 (Dojindo, Japan) solution was added to each well and incubated at 37°C for 3 h. An iMark™ microplate reader (Bio‐Rad,) was used to measure the absorbance at 450 nm.", "ATP levels were measured using an ATP measurement kit (Beyotime Biotech,), according to the manufacturer's instructions. Briefly, approximately 1 × 106 cells per well were seeded into a 6‐well plate. After treatment with or without targeted drugs for a specified period of time, the corresponding cells were collected and washed. The harvested cells were dissolved in ATP extract and then centrifuged at 12,000 × g at 4°C for 5 min. The supernatant was used as the sample to be detected and kept in an ice bath for later use. Samples were mixed with ATP reaction buffer, and a photometer (SpectraMax ID3, Molecular Devices) was used to assay the RLU values. The values of the different groups were standardized according to their own protein content.", "Annexin V‐PI double‐staining assay The integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA).\nThe integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA).\nCaspase‐3/7 activity assays According to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system.\nAccording to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system.", "The integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA).", "According to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system.", "The T24 cisplatin‐resistant cell line was selected for the knockdown of MLKL mRNA. Specific and non‐specific scrambled siRNAs were purchased from GenePharma. The T24 resistant cell line was also chosen to overexpress RIPK1. The pGV657‐3Flag‐RIPK1 plasmid and control plasmids were purchased from GeneChem. Cell transfection was performed using Lipofectamine™ 3000 reagent (Invitrogen, Thermo Fisher Scientific,), following the manufacturer's instructions.", "The cells were seeded in a 6‐well plate at 3 × 105 cells/well and cultured overnight. The cells were then treated with or without 10 μM N‐acetylcysteine (NAC) for 6 h. Then, the cells were incubated with 10 µmol/L 2’,7'‐dichlorodihydrofluorescein diacetate (DCFH‐DA) at 37℃ for 30 min to assess the ROS‐mediated oxidation of DCFH‐DA to the fluorescent compound DCF. Images of green fluorescence of DCF in the cells were acquired using a Nikon Ti‐U fluorescence microscope. Next, the stained cells were harvested and resuspended in 1 ml PBS. Fluorescence intensity was analyzed using a FACScan flow cytometer (Becton‐Dickinson,) at an excitation wavelength of 480 nm and an emission wavelength of 525 nm.", "The Kaneka Easy DNA Extraction Kit (KN‐T110005, Kaneka) was used to extract total DNA from the cells following the manufacturer's instructions. The specific primers used to quantify mitochondrial DNA and nuclear DNA are listed in Table 1. The comparative change‐in‐cycle method (ΔΔCT) was used to quantify the relative change in transcript copy number.", "An unpaired t test was used to analyze the differences between the two groups. All experiments were performed at least three times and expressed as mean ±standard error (SEM). Statistical significance was set at p < 0.05. *p < 0.05, **p < 0.01, and ***p < 0.001.", "RIPK1 is an important tumor suppressor and related to the cisplatin resistance in bladder cancer tissues To detect the level of RIPK1 in bladder cancer, we first analyzed the TCGA dataset and found that RIPK1 was downregulated in bladder cancer samples compared with that in normal tissues (Figure 1A). Furthermore, we found that RIPK1 expression was associated with tumor metastasis (Figure 1B). We collected our own clinical samples, including 12 normal tissues, 14 cancer tissues from patients who were sensitive to cisplatin, and 13 cancer tissues from patients who were resistant to cisplatin, and used qRT‐PCR to detect the expression of RIPK1 in these samples. The results showed that RIPK1 had higher levels in normal tissues than in cancer tissues, which was similar to the TCGA dataset analysis (Figure 1C). Interestingly, we found that the RIPK1 expression in resistant patients was significantly lower than that in sensitive patients. In addition, we standardized RIPK1 activity with its total protein expression level and found that the relative activity of RIPK1 in patients with cisplatin resistance was also obviously decreased (Figure 1D). These findings indicate that RIPK1 may play an important role in tumor progression and that its expression may be closely related to cisplatin resistance in bladder cancer.\nRIPK1 expression was downregulated in patients with cisplatin‐resistant bladder cancer. (A). Expression of RIPK1 in bladder cancer based on sample types in the TCGA datasets. (B). Expression of RIPK1 in bladder cancer based on nodal metastasis status in the TCGA datasets. (C). The mRNA expression of RIPK1 in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients. (D). The RIPK1 activity (phosphorylated form) in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients, which is standard to its own protein expression level\nTo detect the level of RIPK1 in bladder cancer, we first analyzed the TCGA dataset and found that RIPK1 was downregulated in bladder cancer samples compared with that in normal tissues (Figure 1A). Furthermore, we found that RIPK1 expression was associated with tumor metastasis (Figure 1B). We collected our own clinical samples, including 12 normal tissues, 14 cancer tissues from patients who were sensitive to cisplatin, and 13 cancer tissues from patients who were resistant to cisplatin, and used qRT‐PCR to detect the expression of RIPK1 in these samples. The results showed that RIPK1 had higher levels in normal tissues than in cancer tissues, which was similar to the TCGA dataset analysis (Figure 1C). Interestingly, we found that the RIPK1 expression in resistant patients was significantly lower than that in sensitive patients. In addition, we standardized RIPK1 activity with its total protein expression level and found that the relative activity of RIPK1 in patients with cisplatin resistance was also obviously decreased (Figure 1D). These findings indicate that RIPK1 may play an important role in tumor progression and that its expression may be closely related to cisplatin resistance in bladder cancer.\nRIPK1 expression was downregulated in patients with cisplatin‐resistant bladder cancer. (A). Expression of RIPK1 in bladder cancer based on sample types in the TCGA datasets. (B). Expression of RIPK1 in bladder cancer based on nodal metastasis status in the TCGA datasets. (C). The mRNA expression of RIPK1 in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients. (D). The RIPK1 activity (phosphorylated form) in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients, which is standard to its own protein expression level\nRIPK1 expression was downregulated with the development of cisplatin resistance in bladder cancer cells To further explore the relationship between RIPK1 expression and cisplatin resistance, we detected the expression of RIPK1 in different bladder cancer cell lines by Western blotting and tested their sensitivity to cisplatin using the CCK‐8 assay. The results showed that the cell lines with high RIPK1 expression were significantly more sensitive to cisplatin than the cell lines with low RIPK1 expression (Figure 2A,B). Next, we constructed two bladder cancer cell lines resistant to cisplatin therapy. Compared with their parental cells, J82 and T24 resistant cells were obviously insensitive to cisplatin treatment (Figure 2C,D). The IC50 values of cisplatin in J82 and T24 resistant cells were also significantly higher than those in parental cells (Figure 2C,D). We further detected the expression of RIPK1 in J82 and T24 parental and resistant cells and found that the level of RIPK1 was conspicuously reduced compared with that in the parental cells (Figure 2E). Altogether, our data indicate that RIPK1 expression was downregulated with the development of cisplatin resistance in vitro.\nRIPK1 expression was downregulated with the development of cisplatin resistance in bladder cancer cells. (A). Western blotting and qRT‐PCR were performed to test the level of RIPK1 in bladder cancer cells (J82, T24, RT4, and TCCSUP). (B). J82, T24, RT4, and TCCSUP cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown on the left, and the IC50 values were shown on the right. (C, D). J82 and T24 parental and resistant cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown above, and the IC50 values were shown below. (E). Western blotting was performed to detect the expression of RIPK1 in J82 and T24 parental and resistant cells\nTo further explore the relationship between RIPK1 expression and cisplatin resistance, we detected the expression of RIPK1 in different bladder cancer cell lines by Western blotting and tested their sensitivity to cisplatin using the CCK‐8 assay. The results showed that the cell lines with high RIPK1 expression were significantly more sensitive to cisplatin than the cell lines with low RIPK1 expression (Figure 2A,B). Next, we constructed two bladder cancer cell lines resistant to cisplatin therapy. Compared with their parental cells, J82 and T24 resistant cells were obviously insensitive to cisplatin treatment (Figure 2C,D). The IC50 values of cisplatin in J82 and T24 resistant cells were also significantly higher than those in parental cells (Figure 2C,D). We further detected the expression of RIPK1 in J82 and T24 parental and resistant cells and found that the level of RIPK1 was conspicuously reduced compared with that in the parental cells (Figure 2E). Altogether, our data indicate that RIPK1 expression was downregulated with the development of cisplatin resistance in vitro.\nRIPK1 expression was downregulated with the development of cisplatin resistance in bladder cancer cells. (A). Western blotting and qRT‐PCR were performed to test the level of RIPK1 in bladder cancer cells (J82, T24, RT4, and TCCSUP). (B). J82, T24, RT4, and TCCSUP cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown on the left, and the IC50 values were shown on the right. (C, D). J82 and T24 parental and resistant cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown above, and the IC50 values were shown below. (E). Western blotting was performed to detect the expression of RIPK1 in J82 and T24 parental and resistant cells\nApoptosis was inhibited in cisplatin‐resistant bladder cancer cells We used flow cytometry to test the apoptosis levels of J82 and T24 parental and resistant cells, as apoptosis is an important mode of cisplatin‐induced cell death. The data showed that cisplatin treatment barely induced apoptosis in the J82 and T24 resistant cells (Figure 3A,B). Consistently, caspase‐3/7 activation was also inhibited in resistant cells (Figure 3C). Therefore, our results suggest that apoptosis is inhibited in cisplatin‐resistant bladder cancer cells.\nApoptosis was inhibited in cisplatin‐resistant bladder cancer cells. (A). J82 and T24 parental and resistant cells were treated with 20 µM cisplatin for 24 h. Representative density plots of flow cytometric analysis on the fraction of apoptosis cells were detected with Annexin V/PI. The histogram represents the mean values of three independent experiments shown in B. (C). After treating the J82 and T24 parental cells with 20 μM cisplatin and resistance for 24 h, the caspase‐3/7 activity in the cells was detected\nWe used flow cytometry to test the apoptosis levels of J82 and T24 parental and resistant cells, as apoptosis is an important mode of cisplatin‐induced cell death. The data showed that cisplatin treatment barely induced apoptosis in the J82 and T24 resistant cells (Figure 3A,B). Consistently, caspase‐3/7 activation was also inhibited in resistant cells (Figure 3C). Therefore, our results suggest that apoptosis is inhibited in cisplatin‐resistant bladder cancer cells.\nApoptosis was inhibited in cisplatin‐resistant bladder cancer cells. (A). J82 and T24 parental and resistant cells were treated with 20 µM cisplatin for 24 h. Representative density plots of flow cytometric analysis on the fraction of apoptosis cells were detected with Annexin V/PI. The histogram represents the mean values of three independent experiments shown in B. (C). After treating the J82 and T24 parental cells with 20 μM cisplatin and resistance for 24 h, the caspase‐3/7 activity in the cells was detected\nPL increased the sensitivity of resistant cells to cisplatin by activating RIPK1‐induced non‐apoptotic cell death As PL is an effective anti‐cancer agent that selectively kills cancer cells 12, we further studied whether PL could improve the sensitivity of cisplatin‐resistant cells. We discovered that PL treatment of T24 resistant cells significantly increased the expression of RIPK1 and activated RIPK1 phosphorylation (Figure 4A), suggesting that PL is an activator of RIPK1. In contrast to cisplatin treatment alone, PL activation of RIPK1 alone triggered increased cell death in T24 resistant cells (Figure 4B). Furthermore, PL in combination with cisplatin caused a higher percentage of cell death in T24 resistant cells (Figure 4B), indicating that RIPK1 activation by PL could amplify the killing effect of cisplatin. Unexpectedly, PL alone or in combination with cisplatin did not significantly enhance apoptosis in T24 resistant cells (Figure 4C). However, PL treatment caused a decrease in ATP level in T24 resistant cells (Figure 4D), suggesting that PL induced another way of cell death rather than apoptosis. To further explore the effect of RIPK1, we overexpressed RIPK1 by transfecting it with the plasmid and found that RIPK1 overexpression increased the sensitivity of cisplatin‐resistant cells (Figure 4E,F). Altogether, our results suggest that PL increased the sensitivity of cisplatin‐resistant cells by activating RIPK1‐induced non‐apoptotic cell death.\nPL increased the sensitivity of resistant cells to cisplatin by activating the RIPK1‐induced non‐apoptotic cell death. A total of 5 µM PL and 20 µM cisplatin alone or their combination were used to treat T24 resistant cells for 24 h. (A). The expression of RIPK1 in T24 resistant cells was assessed by Western blotting. (B). The cell viability was detected by CCK‐8 assay. (C). The apoptosis level was determined by Annexin V/PI staining. (D). The ATP level was tested using an ATP measurement kit. (E). The expression of RIPK1 in T24 resistant cells transfected with RIPK1 plasmid was analyzed by Western blotting. (F). T24 resistant cells were transfected with RIPK1 plasmid and then treated with cisplatin for 24 h. Cell viability was detected using the CCK‐8 assay\nAs PL is an effective anti‐cancer agent that selectively kills cancer cells 12, we further studied whether PL could improve the sensitivity of cisplatin‐resistant cells. We discovered that PL treatment of T24 resistant cells significantly increased the expression of RIPK1 and activated RIPK1 phosphorylation (Figure 4A), suggesting that PL is an activator of RIPK1. In contrast to cisplatin treatment alone, PL activation of RIPK1 alone triggered increased cell death in T24 resistant cells (Figure 4B). Furthermore, PL in combination with cisplatin caused a higher percentage of cell death in T24 resistant cells (Figure 4B), indicating that RIPK1 activation by PL could amplify the killing effect of cisplatin. Unexpectedly, PL alone or in combination with cisplatin did not significantly enhance apoptosis in T24 resistant cells (Figure 4C). However, PL treatment caused a decrease in ATP level in T24 resistant cells (Figure 4D), suggesting that PL induced another way of cell death rather than apoptosis. To further explore the effect of RIPK1, we overexpressed RIPK1 by transfecting it with the plasmid and found that RIPK1 overexpression increased the sensitivity of cisplatin‐resistant cells (Figure 4E,F). Altogether, our results suggest that PL increased the sensitivity of cisplatin‐resistant cells by activating RIPK1‐induced non‐apoptotic cell death.\nPL increased the sensitivity of resistant cells to cisplatin by activating the RIPK1‐induced non‐apoptotic cell death. A total of 5 µM PL and 20 µM cisplatin alone or their combination were used to treat T24 resistant cells for 24 h. (A). The expression of RIPK1 in T24 resistant cells was assessed by Western blotting. (B). The cell viability was detected by CCK‐8 assay. (C). The apoptosis level was determined by Annexin V/PI staining. (D). The ATP level was tested using an ATP measurement kit. (E). The expression of RIPK1 in T24 resistant cells transfected with RIPK1 plasmid was analyzed by Western blotting. (F). T24 resistant cells were transfected with RIPK1 plasmid and then treated with cisplatin for 24 h. Cell viability was detected using the CCK‐8 assay\nPL‐induced necroptosis in bladder cancer resistant cells Since PL alone or in combination with cisplatin could indeed cause the death of T24 resistant cells, the level of apoptosis did not increase significantly; therefore, we further explored its underlying mechanism. In previous experiments, we found that PL could activate PIPK1, which is the key regulator of necroptosis; thus, we hypothesized that PL could trigger necroptosis in T24 resistant cells. As expected, treatment with PL alone or in combination with cisplatin did not change the total protein expression levels of RIP3 and MLKL in T24 resistant cells, but their phosphorylation levels were significantly enhanced (Figure 5A). In addition, pretreatment with an MLKL inhibitor (NSA) inhibited the cell death caused by PL treatment or its combination with cisplatin (Figure 5B). However, pretreatment with the apoptosis inhibitor z‐VAD did not achieve similar effects (Figure 5C).\nPL‐induced necroptosis in T24 resistant bladder cancer cells. (A). The 5 µM PL and 20 µM cisplatin (Cis) alone or their combination (Cis+PL) were used to treat T24 resistant cells for 24 h. The expression of p‐RIP3, RIP3, p‐MLKL, and MLKL were analyzed by Western blotting. (B). The 5 μM MLKL inhibitor NSA was used to pretreat T24 resistant cells for 3 h, and then, 5 µM PL or its combination with 20 µM cisplatin were used to treat the cells for another 24 h. The cell viability was detected by CCK‐8 assay. (C). After pretreating with 10 μM caspases inhibitor z‐VAD for 3 h, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. The cell viability was detected by CCK‐8 assay. (D, E). After transfecting with MLKL siRNA, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. D. The expressions of MLKL and p‐MLKL were analyzed by Western blotting. E. The cell viability was analyzed by CCK‐8 assay\nFurthermore, siRNA knockdown of MLKL had an effect similar to that of NSA and inhibited cell death and MLKL phosphorylation that were induced by PL alone or in combination with cisplatin (Figure 5D,E). Therefore, our results suggest that PL could eliminate T24 resistant cells by inducing necroptosis.\nSince PL alone or in combination with cisplatin could indeed cause the death of T24 resistant cells, the level of apoptosis did not increase significantly; therefore, we further explored its underlying mechanism. In previous experiments, we found that PL could activate PIPK1, which is the key regulator of necroptosis; thus, we hypothesized that PL could trigger necroptosis in T24 resistant cells. As expected, treatment with PL alone or in combination with cisplatin did not change the total protein expression levels of RIP3 and MLKL in T24 resistant cells, but their phosphorylation levels were significantly enhanced (Figure 5A). In addition, pretreatment with an MLKL inhibitor (NSA) inhibited the cell death caused by PL treatment or its combination with cisplatin (Figure 5B). However, pretreatment with the apoptosis inhibitor z‐VAD did not achieve similar effects (Figure 5C).\nPL‐induced necroptosis in T24 resistant bladder cancer cells. (A). The 5 µM PL and 20 µM cisplatin (Cis) alone or their combination (Cis+PL) were used to treat T24 resistant cells for 24 h. The expression of p‐RIP3, RIP3, p‐MLKL, and MLKL were analyzed by Western blotting. (B). The 5 μM MLKL inhibitor NSA was used to pretreat T24 resistant cells for 3 h, and then, 5 µM PL or its combination with 20 µM cisplatin were used to treat the cells for another 24 h. The cell viability was detected by CCK‐8 assay. (C). After pretreating with 10 μM caspases inhibitor z‐VAD for 3 h, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. The cell viability was detected by CCK‐8 assay. (D, E). After transfecting with MLKL siRNA, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. D. The expressions of MLKL and p‐MLKL were analyzed by Western blotting. E. The cell viability was analyzed by CCK‐8 assay\nFurthermore, siRNA knockdown of MLKL had an effect similar to that of NSA and inhibited cell death and MLKL phosphorylation that were induced by PL alone or in combination with cisplatin (Figure 5D,E). Therefore, our results suggest that PL could eliminate T24 resistant cells by inducing necroptosis.\nExcessive ROS production by mitochondria contributed to necroptosis in cisplatin‐resistant cells induced by PL We investigated why PL‐induced necroptosis in the drug‐resistant cells. It has been revealed that PL can induce ROS production and that ROS is closely associated with the anti‐cancer effects of PL.\n13\n, \n18\n ROS can activate RIPK1 by modifying three crucial cysteine residues to induce necroptosis.\n19\n, \n20\n Therefore, we used the DCFH‐DA fluorescent dye to detect ROS levels in the different drug treatment groups. As shown in Figure 6A, the level of ROS increased in the group treated with PL alone and the group treated with PL in combination with cisplatin. Because mitochondria are the major source of ROS production,\n21\n we next assayed their function in the group treated with PL alone and in the group treat with PL in combination with cisplatin. Surprisingly, we found a significant increase in the copy number of mitochondrial DNA (Figure 6B). This suggests that the mitochondria undergo fission under the action of PL to produce more ROS. Indeed, treatment with PL or its combination with cisplatin increased the phosphorylation level of dynamin‐related protein 1 (DRP1), the key protein of mitochondrial fission, suggesting that mitochondria are involved in excessive ROS production (Figure 6C).\nOver‐excessive of ROS from mitochondria contributed to PL‐induced necroptosis in cisplatin‐resistant cells. (A). T24 resistant cells were pretreated with/without 10 mM NAC for 6 h; then, the cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Fluorescence microscopy of cells was conducted following the 10 μM DCFH‐DA staining for 30 min (scale bar, 100 µm). Flow cytometry was used for the quantitative analysis of DCF. T24 resistant cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Mitochondrial DNA relative to the control is shown in B, as measured by qRT‐PCR. The expression of p‐DRP1, as analyzed by Western blotting, is shown in C. T24 resistant cells were pretreated with or without 10 mM NAC for 6 h and then treated with 5 µM PL in combination with 20 µM cisplatin (Cis+PL) for 24 h. Cell viability analyzed using the CCK‐8 assay is shown in D. The expression of RIPK1 and p‐RIPK1 analyzed by Western blotting is shown in E\nTo further address the role of ROS, we treated the combination group with the antioxidant NAC to clear ROS (Figure 6A). The expression of p‐RIPK1 in the combination group and the survival of drug‐resistant cells were reexamined. NAC restored the high expression of p‐RIPK1 and enhanced the survival of drug‐resistant cells (Figure 6D,E), suggesting that ROS contributed to PL‐induced necroptosis in cisplatin‐resistant cells. In summary, PL induces necroptosis in cisplatin‐resistant cells by stimulating mitochondrial fission to produce excessive ROS.\nWe investigated why PL‐induced necroptosis in the drug‐resistant cells. It has been revealed that PL can induce ROS production and that ROS is closely associated with the anti‐cancer effects of PL.\n13\n, \n18\n ROS can activate RIPK1 by modifying three crucial cysteine residues to induce necroptosis.\n19\n, \n20\n Therefore, we used the DCFH‐DA fluorescent dye to detect ROS levels in the different drug treatment groups. As shown in Figure 6A, the level of ROS increased in the group treated with PL alone and the group treated with PL in combination with cisplatin. Because mitochondria are the major source of ROS production,\n21\n we next assayed their function in the group treated with PL alone and in the group treat with PL in combination with cisplatin. Surprisingly, we found a significant increase in the copy number of mitochondrial DNA (Figure 6B). This suggests that the mitochondria undergo fission under the action of PL to produce more ROS. Indeed, treatment with PL or its combination with cisplatin increased the phosphorylation level of dynamin‐related protein 1 (DRP1), the key protein of mitochondrial fission, suggesting that mitochondria are involved in excessive ROS production (Figure 6C).\nOver‐excessive of ROS from mitochondria contributed to PL‐induced necroptosis in cisplatin‐resistant cells. (A). T24 resistant cells were pretreated with/without 10 mM NAC for 6 h; then, the cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Fluorescence microscopy of cells was conducted following the 10 μM DCFH‐DA staining for 30 min (scale bar, 100 µm). Flow cytometry was used for the quantitative analysis of DCF. T24 resistant cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Mitochondrial DNA relative to the control is shown in B, as measured by qRT‐PCR. The expression of p‐DRP1, as analyzed by Western blotting, is shown in C. T24 resistant cells were pretreated with or without 10 mM NAC for 6 h and then treated with 5 µM PL in combination with 20 µM cisplatin (Cis+PL) for 24 h. Cell viability analyzed using the CCK‐8 assay is shown in D. The expression of RIPK1 and p‐RIPK1 analyzed by Western blotting is shown in E\nTo further address the role of ROS, we treated the combination group with the antioxidant NAC to clear ROS (Figure 6A). The expression of p‐RIPK1 in the combination group and the survival of drug‐resistant cells were reexamined. NAC restored the high expression of p‐RIPK1 and enhanced the survival of drug‐resistant cells (Figure 6D,E), suggesting that ROS contributed to PL‐induced necroptosis in cisplatin‐resistant cells. In summary, PL induces necroptosis in cisplatin‐resistant cells by stimulating mitochondrial fission to produce excessive ROS.", "To detect the level of RIPK1 in bladder cancer, we first analyzed the TCGA dataset and found that RIPK1 was downregulated in bladder cancer samples compared with that in normal tissues (Figure 1A). Furthermore, we found that RIPK1 expression was associated with tumor metastasis (Figure 1B). We collected our own clinical samples, including 12 normal tissues, 14 cancer tissues from patients who were sensitive to cisplatin, and 13 cancer tissues from patients who were resistant to cisplatin, and used qRT‐PCR to detect the expression of RIPK1 in these samples. The results showed that RIPK1 had higher levels in normal tissues than in cancer tissues, which was similar to the TCGA dataset analysis (Figure 1C). Interestingly, we found that the RIPK1 expression in resistant patients was significantly lower than that in sensitive patients. In addition, we standardized RIPK1 activity with its total protein expression level and found that the relative activity of RIPK1 in patients with cisplatin resistance was also obviously decreased (Figure 1D). These findings indicate that RIPK1 may play an important role in tumor progression and that its expression may be closely related to cisplatin resistance in bladder cancer.\nRIPK1 expression was downregulated in patients with cisplatin‐resistant bladder cancer. (A). Expression of RIPK1 in bladder cancer based on sample types in the TCGA datasets. (B). Expression of RIPK1 in bladder cancer based on nodal metastasis status in the TCGA datasets. (C). The mRNA expression of RIPK1 in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients. (D). The RIPK1 activity (phosphorylated form) in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients, which is standard to its own protein expression level", "To further explore the relationship between RIPK1 expression and cisplatin resistance, we detected the expression of RIPK1 in different bladder cancer cell lines by Western blotting and tested their sensitivity to cisplatin using the CCK‐8 assay. The results showed that the cell lines with high RIPK1 expression were significantly more sensitive to cisplatin than the cell lines with low RIPK1 expression (Figure 2A,B). Next, we constructed two bladder cancer cell lines resistant to cisplatin therapy. Compared with their parental cells, J82 and T24 resistant cells were obviously insensitive to cisplatin treatment (Figure 2C,D). The IC50 values of cisplatin in J82 and T24 resistant cells were also significantly higher than those in parental cells (Figure 2C,D). We further detected the expression of RIPK1 in J82 and T24 parental and resistant cells and found that the level of RIPK1 was conspicuously reduced compared with that in the parental cells (Figure 2E). Altogether, our data indicate that RIPK1 expression was downregulated with the development of cisplatin resistance in vitro.\nRIPK1 expression was downregulated with the development of cisplatin resistance in bladder cancer cells. (A). Western blotting and qRT‐PCR were performed to test the level of RIPK1 in bladder cancer cells (J82, T24, RT4, and TCCSUP). (B). J82, T24, RT4, and TCCSUP cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown on the left, and the IC50 values were shown on the right. (C, D). J82 and T24 parental and resistant cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown above, and the IC50 values were shown below. (E). Western blotting was performed to detect the expression of RIPK1 in J82 and T24 parental and resistant cells", "We used flow cytometry to test the apoptosis levels of J82 and T24 parental and resistant cells, as apoptosis is an important mode of cisplatin‐induced cell death. The data showed that cisplatin treatment barely induced apoptosis in the J82 and T24 resistant cells (Figure 3A,B). Consistently, caspase‐3/7 activation was also inhibited in resistant cells (Figure 3C). Therefore, our results suggest that apoptosis is inhibited in cisplatin‐resistant bladder cancer cells.\nApoptosis was inhibited in cisplatin‐resistant bladder cancer cells. (A). J82 and T24 parental and resistant cells were treated with 20 µM cisplatin for 24 h. Representative density plots of flow cytometric analysis on the fraction of apoptosis cells were detected with Annexin V/PI. The histogram represents the mean values of three independent experiments shown in B. (C). After treating the J82 and T24 parental cells with 20 μM cisplatin and resistance for 24 h, the caspase‐3/7 activity in the cells was detected", "As PL is an effective anti‐cancer agent that selectively kills cancer cells 12, we further studied whether PL could improve the sensitivity of cisplatin‐resistant cells. We discovered that PL treatment of T24 resistant cells significantly increased the expression of RIPK1 and activated RIPK1 phosphorylation (Figure 4A), suggesting that PL is an activator of RIPK1. In contrast to cisplatin treatment alone, PL activation of RIPK1 alone triggered increased cell death in T24 resistant cells (Figure 4B). Furthermore, PL in combination with cisplatin caused a higher percentage of cell death in T24 resistant cells (Figure 4B), indicating that RIPK1 activation by PL could amplify the killing effect of cisplatin. Unexpectedly, PL alone or in combination with cisplatin did not significantly enhance apoptosis in T24 resistant cells (Figure 4C). However, PL treatment caused a decrease in ATP level in T24 resistant cells (Figure 4D), suggesting that PL induced another way of cell death rather than apoptosis. To further explore the effect of RIPK1, we overexpressed RIPK1 by transfecting it with the plasmid and found that RIPK1 overexpression increased the sensitivity of cisplatin‐resistant cells (Figure 4E,F). Altogether, our results suggest that PL increased the sensitivity of cisplatin‐resistant cells by activating RIPK1‐induced non‐apoptotic cell death.\nPL increased the sensitivity of resistant cells to cisplatin by activating the RIPK1‐induced non‐apoptotic cell death. A total of 5 µM PL and 20 µM cisplatin alone or their combination were used to treat T24 resistant cells for 24 h. (A). The expression of RIPK1 in T24 resistant cells was assessed by Western blotting. (B). The cell viability was detected by CCK‐8 assay. (C). The apoptosis level was determined by Annexin V/PI staining. (D). The ATP level was tested using an ATP measurement kit. (E). The expression of RIPK1 in T24 resistant cells transfected with RIPK1 plasmid was analyzed by Western blotting. (F). T24 resistant cells were transfected with RIPK1 plasmid and then treated with cisplatin for 24 h. Cell viability was detected using the CCK‐8 assay", "Since PL alone or in combination with cisplatin could indeed cause the death of T24 resistant cells, the level of apoptosis did not increase significantly; therefore, we further explored its underlying mechanism. In previous experiments, we found that PL could activate PIPK1, which is the key regulator of necroptosis; thus, we hypothesized that PL could trigger necroptosis in T24 resistant cells. As expected, treatment with PL alone or in combination with cisplatin did not change the total protein expression levels of RIP3 and MLKL in T24 resistant cells, but their phosphorylation levels were significantly enhanced (Figure 5A). In addition, pretreatment with an MLKL inhibitor (NSA) inhibited the cell death caused by PL treatment or its combination with cisplatin (Figure 5B). However, pretreatment with the apoptosis inhibitor z‐VAD did not achieve similar effects (Figure 5C).\nPL‐induced necroptosis in T24 resistant bladder cancer cells. (A). The 5 µM PL and 20 µM cisplatin (Cis) alone or their combination (Cis+PL) were used to treat T24 resistant cells for 24 h. The expression of p‐RIP3, RIP3, p‐MLKL, and MLKL were analyzed by Western blotting. (B). The 5 μM MLKL inhibitor NSA was used to pretreat T24 resistant cells for 3 h, and then, 5 µM PL or its combination with 20 µM cisplatin were used to treat the cells for another 24 h. The cell viability was detected by CCK‐8 assay. (C). After pretreating with 10 μM caspases inhibitor z‐VAD for 3 h, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. The cell viability was detected by CCK‐8 assay. (D, E). After transfecting with MLKL siRNA, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. D. The expressions of MLKL and p‐MLKL were analyzed by Western blotting. E. The cell viability was analyzed by CCK‐8 assay\nFurthermore, siRNA knockdown of MLKL had an effect similar to that of NSA and inhibited cell death and MLKL phosphorylation that were induced by PL alone or in combination with cisplatin (Figure 5D,E). Therefore, our results suggest that PL could eliminate T24 resistant cells by inducing necroptosis.", "We investigated why PL‐induced necroptosis in the drug‐resistant cells. It has been revealed that PL can induce ROS production and that ROS is closely associated with the anti‐cancer effects of PL.\n13\n, \n18\n ROS can activate RIPK1 by modifying three crucial cysteine residues to induce necroptosis.\n19\n, \n20\n Therefore, we used the DCFH‐DA fluorescent dye to detect ROS levels in the different drug treatment groups. As shown in Figure 6A, the level of ROS increased in the group treated with PL alone and the group treated with PL in combination with cisplatin. Because mitochondria are the major source of ROS production,\n21\n we next assayed their function in the group treated with PL alone and in the group treat with PL in combination with cisplatin. Surprisingly, we found a significant increase in the copy number of mitochondrial DNA (Figure 6B). This suggests that the mitochondria undergo fission under the action of PL to produce more ROS. Indeed, treatment with PL or its combination with cisplatin increased the phosphorylation level of dynamin‐related protein 1 (DRP1), the key protein of mitochondrial fission, suggesting that mitochondria are involved in excessive ROS production (Figure 6C).\nOver‐excessive of ROS from mitochondria contributed to PL‐induced necroptosis in cisplatin‐resistant cells. (A). T24 resistant cells were pretreated with/without 10 mM NAC for 6 h; then, the cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Fluorescence microscopy of cells was conducted following the 10 μM DCFH‐DA staining for 30 min (scale bar, 100 µm). Flow cytometry was used for the quantitative analysis of DCF. T24 resistant cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Mitochondrial DNA relative to the control is shown in B, as measured by qRT‐PCR. The expression of p‐DRP1, as analyzed by Western blotting, is shown in C. T24 resistant cells were pretreated with or without 10 mM NAC for 6 h and then treated with 5 µM PL in combination with 20 µM cisplatin (Cis+PL) for 24 h. Cell viability analyzed using the CCK‐8 assay is shown in D. The expression of RIPK1 and p‐RIPK1 analyzed by Western blotting is shown in E\nTo further address the role of ROS, we treated the combination group with the antioxidant NAC to clear ROS (Figure 6A). The expression of p‐RIPK1 in the combination group and the survival of drug‐resistant cells were reexamined. NAC restored the high expression of p‐RIPK1 and enhanced the survival of drug‐resistant cells (Figure 6D,E), suggesting that ROS contributed to PL‐induced necroptosis in cisplatin‐resistant cells. In summary, PL induces necroptosis in cisplatin‐resistant cells by stimulating mitochondrial fission to produce excessive ROS.", "The occurrence and development of cisplatin resistance in bladder cancer is a clinical problem that urgently needs to be solved. To overcome cisplatin resistance and improve its efficacy, an increasing number of studies have investigated treatment strategies that can be combined with natural phytochemicals such as baicalein\n22\n eugenol,\n23\n fucoxanthin,\n24\n and emodin.\n25\n In our study, we found that PL, which is the major biologically active alkaloid in long peppers, can also increase the sensitivity of bladder cancer cells to cisplatin by activating RIPK1 to trigger necroptosis by excessive mitochondrial ROS.\nIn our study, we first found that the expression of RIPK1 gradually decreased as the malignancy of bladder tumors increased (normal bladder>bladder cancer>cisplatin‐resistant bladder cancer tissues). In bladder cancer cells, cells with high RIPK1 expression are more sensitive to cisplatin than those with low expression. Next, we constructed cisplatin‐resistant J82 and T24 cell lines. We found that the resistant cells had a significantly lower expression of RIPK1 than the parental cells. Upregulation of RIPK1 re‐sensitizes bladder cancer cells to cisplatin treatment. These results indicate that RIPK1 may play an important role in tumor progression and that its expression is closely related to cisplatin resistance in bladder cancer.\nCisplatin‐induced apoptosis was significantly inhibited in resistant cells. However, after treatment with PL in combination with cisplatin, the survival rate of the cells was distinctly reduced. Interestingly, cell apoptosis did not increase significantly; therefore, we believe that PL can increase the sensitivity of bladder cancer cells to cisplatin by inducing cell death other than apoptosis. RIPK1 is one of the most important regulators of necroptosis because of its kinase function, which can be activated by ROS.\n20\n It was reported that PL could induce ROS production and that ROS is heavily involved in the anti‐cancer effects of PL\n13\n, \n18\n; cisplatin‐resistant cells in our study simply lack the expression of RIPK1. Therefore, we hypothesized that PL triggered necroptosis in resistant cells. As predicted, PL treatment enhanced the effect of cisplatin by activating the RIPK1/RIPK3/MLKL signaling pathway.\nRegarding the mechanism of RIPK1 activation by PL, it has been reported that ROS can induce autophosphorylation on S161 by modifying the three key cysteine residues in RIPK1. This phosphorylation event allows for efficient recruitment of RIP3 to RIP1 to form a functional necrosome, leading to necroptosis.\n20\n Thus, we detected the level of ROS in the group treated with PL alone and the group treated with PL in combination with cisplatin and found that ROS was obviously increased. Using the ROS scavenger NAC could resist most of the effects of PL, which suggested that ROS was necessary for PL‐induced necroptosis in cisplatin‐resistant cells.\nBecause mitochondria are the major source of ROS production,\n21\n we also assayed mitochondrial function. Surprisingly, we found a significant increase in the copy number of mitochondrial DNA after PL treatment, suggesting that mitochondria undergo fission under the action of PL to produce more ROS. To prove this, we tested the mitochondrial fission protein dynamin‐related protein 1(DRP1). The data showed that the phosphorylation level of DRP1 (p‐DRP1) was significantly increased after treatment with PL alone or in combination with cisplatin. Previous studies have shown that PL is an effective anti‐cancer agent, which increases the level of ROS by disturbing the balance of oxidative stress in cells, thereby selectively killing cancer cells.\n13\n However, in our study, we found that PL stimulated mitochondrial fission to produce excess ROS.\nIn summary, we report for the first time that RIPK1 expression is significantly reduced in the process of cisplatin resistance in bladder cancer. Upregulation of RIPK1 by PL can overcome cisplatin resistance in bladder cells and revert cell death from apoptosis to necroptosis. Furthermore, our study also revealed that the function of RIKP1 in PL‐induced necroptosis was also mediated by excessive ROS from the mitochondria (Figure 7).\nSchematic diagram of the mechanism by which PL enhanced the sensitivity of cisplatin to bladder cancer cells. In the process of cisplatin resistance in bladder cancer cells, RIPK1 expression was gradually lost. PL promotes mitochondrial fission by activating DRP‐1, which results in excessive ROS production. Then, ROS induces necroptosis of resistant cells by activating the expression of RIPK1, thereby enhancing the effect of cisplatin on bladder cancer cells", "The authors declare that they have no competing interests.", "XP conceived the study and established its initial design. GC and WH performed the experiments and analyzed the data. XP prepared the study. All the authors have read and approved the final study. XP and GC confirmed the authenticity of the raw data." ]
[ null, "materials-and-methods", null, null, null, null, null, null, null, null, null, null, null, null, null, "results", null, null, null, null, null, null, "discussion", "COI-statement", null ]
[ "cisplatin resistance", "piperlongumine", "reactive oxygen species", "receptor‐interacting protein kinase 1" ]
INTRODUCTION: Bladder cancer is the most common malignancy of the urinary tract. In recent years, the incidence of bladder cancer has shown a gradual upward trend in China. 1 Transurethral resection is the main treatment for early bladder cancer; however, this standard approach is limited to advanced invasive urothelial carcinoma. Currently, cisplatin is the main chemotherapy drug for advanced bladder cancer as a single agent or key component in the treatment of metastatic bladder cancer, and it can also be used in neoadjuvant therapy combined with radical cystectomy. 2 , 3 Unfortunately, many patients in practice are considered to be “cisplatin‐ineligible.” These patients initially benefit from cisplatin treatment but ultimately develop resistance in the final stage, leading to progressive disease and therapy failure. 4 Therefore, it is necessary and urgent to explore additional approaches to effectively inhibit the progression of advanced bladder cancer. Necroptosis is a form of programmed cell death that is strictly regulated by the activation of receptor‐interacting protein kinases (RIPKs). 5 RIPK1 belongs to the RIPK family, including the seven members RIPK1–RIPK7, and controls necroptosis through its kinase function. 6 , 7 Activated RIPK1 combines with and phosphorylates RIPK3 to form a complex called the necrosome, which then transmits the phosphorylation signal to the downstream mixed lineage kinase domain‐like protein (MLKL) to localize to the cell membrane, causing cell membrane rupture and finally leading to cell death. 8 , 9 Recently, necroptosis has been considered to play a key role in the regulation of cancer biology, including oncogenesis, metastasis, immunity, and cancer subtypes. 10 , 11 Therefore, pivotal regulators of the necroptotic signaling pathway, such as RIPK1, are considered promising therapeutic targets. Piperlongumine (PL) is an alkaloid natural product derived from pepper plants, and it has a well‐characterized structure (C17H19NO5). 12 PL has traditionally been used to treat gastrointestinal and respiratory diseases. 13 In recent years, a growing number of studies have reported that PL has antitumor activity against several types of tumors, such as hepatocellular carcinoma, 14 breast cancer, 15 gastric cancer, 16 and bladder cancer. 17 Although Liu et al. have reported that PL can suppress bladder cancer invasion by inhibiting epithelial–mesenchymal transition and F‐actin reorganization, the role of PL in “cisplatin‐ineligible” bladder cancer remains obscure. In our study, we first explored the important role of RIPK1 in cisplatin resistance in bladder cancer and discovered that PL could increase the sensitivity of bladder cancer to cisplatin by mitochondrial reactive oxygen species (ROS)‐induced necroptosis. These results may provide a new treatment strategy for overcoming cisplatin resistance in bladder cancer. MATERIALS AND METHODS: Cell culture and drug treatment All bladder cancer cell lines, including J82, T24, RT4, and TCCSUP, were purchased from Shanghai Institute of Cell Biology, Chinese Academy of Sciences. These cells were maintained at 37°C and 5% CO2 in a humid environment and cultured in a suitable medium containing 10% fetal bovine serum. Cells were collected in mid‐log phase for related experiments. As previously described 4, a progressively increasing concentration gradient was used to induce cisplatin resistance in bladder cancer cell lines. Then, 10 µM piperlongumine was used to treat the cisplatin‐resistant cells. All bladder cancer cell lines, including J82, T24, RT4, and TCCSUP, were purchased from Shanghai Institute of Cell Biology, Chinese Academy of Sciences. These cells were maintained at 37°C and 5% CO2 in a humid environment and cultured in a suitable medium containing 10% fetal bovine serum. Cells were collected in mid‐log phase for related experiments. As previously described 4, a progressively increasing concentration gradient was used to induce cisplatin resistance in bladder cancer cell lines. Then, 10 µM piperlongumine was used to treat the cisplatin‐resistant cells. Tissue samples Human bladder cancer tissues were obtained from 27 patients who underwent cisplatin‐based chemotherapy at The Affiliated People's Hospital of Ningbo University. All patients provided written informed consent prior to treatment and surgery. The patients were divided into two groups based on their therapy outcomes: 14 in the sensitive group and 13 in the resistant group, of which 12 cases of normal adjacent tissues were taken from the two groups. Patients who relapsed after cisplatin treatment were considered cisplatin‐resistant. The study protocol was approved by the Ethics Committee of The Affiliated People's Hospital of Ningbo University. Human bladder cancer tissues were obtained from 27 patients who underwent cisplatin‐based chemotherapy at The Affiliated People's Hospital of Ningbo University. All patients provided written informed consent prior to treatment and surgery. The patients were divided into two groups based on their therapy outcomes: 14 in the sensitive group and 13 in the resistant group, of which 12 cases of normal adjacent tissues were taken from the two groups. Patients who relapsed after cisplatin treatment were considered cisplatin‐resistant. The study protocol was approved by the Ethics Committee of The Affiliated People's Hospital of Ningbo University. Quantitative real‐time PCR Total RNA was extracted using the TRIzol reagent (Invitrogen). Reverse transcription was performed using a PrimeScript RT Master Mix kit (Takara). The cDNAs were amplified by qRT‐PCR using SYBR Green PCR Master Mix (Roche,) on a LightCycler480 system, and relative abundance was normalized to the expression of the endogenous control, GAPDH. The PCR primers used are listed in Table 1. Oligonucleotide sequence of primer set used to amplify in each cDNA Total RNA was extracted using the TRIzol reagent (Invitrogen). Reverse transcription was performed using a PrimeScript RT Master Mix kit (Takara). The cDNAs were amplified by qRT‐PCR using SYBR Green PCR Master Mix (Roche,) on a LightCycler480 system, and relative abundance was normalized to the expression of the endogenous control, GAPDH. The PCR primers used are listed in Table 1. Oligonucleotide sequence of primer set used to amplify in each cDNA Western blot analysis Proteins were separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis according to molecular weight, transferred to a polyvinylidene fluoride membrane (Bio‐Rad), and blocked with TBS‐T containing 5% non‐fat dry milk. Anti‐RIPK1 (1:1000, Cell Signaling Technology,), anti‐p‐RIPK1 (1:1000 CST), anti‐RIPK3 (1:1000; Abcam,), anti‐p‐RIPK3 (1:1000; Abcam), anti‐MLKL (1:1000; Abcam), anti‐p‐MLKL (1:1000; Abcam), anti‐p‐DRP1(1:1000; Abcam), and anti‐GAPDH (1:1000; Abcam) antibodies were diluted with TBS‐T containing 3% non‐fat dry milk and incubated overnight at 4°C. After washing in TBS‐T, the membranes were incubated with a horseradish peroxidase‐conjugated secondary antibody (1:5000; Abcam,) for 1 h. It was washed again in TBS‐T and developed using ECL‐Plus (GE Healthcare, Life Sciences,). Proteins were separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis according to molecular weight, transferred to a polyvinylidene fluoride membrane (Bio‐Rad), and blocked with TBS‐T containing 5% non‐fat dry milk. Anti‐RIPK1 (1:1000, Cell Signaling Technology,), anti‐p‐RIPK1 (1:1000 CST), anti‐RIPK3 (1:1000; Abcam,), anti‐p‐RIPK3 (1:1000; Abcam), anti‐MLKL (1:1000; Abcam), anti‐p‐MLKL (1:1000; Abcam), anti‐p‐DRP1(1:1000; Abcam), and anti‐GAPDH (1:1000; Abcam) antibodies were diluted with TBS‐T containing 3% non‐fat dry milk and incubated overnight at 4°C. After washing in TBS‐T, the membranes were incubated with a horseradish peroxidase‐conjugated secondary antibody (1:5000; Abcam,) for 1 h. It was washed again in TBS‐T and developed using ECL‐Plus (GE Healthcare, Life Sciences,). Cell survival assay The cells were seeded in a 96‐well plate at 1 × 105 cells/well and cultured for 24 h. Cisplatin was then added at different concentrations to continue the culture for 24 h. A total of 10 μl of CCK‐8 (Dojindo, Japan) solution was added to each well and incubated at 37°C for 3 h. An iMark™ microplate reader (Bio‐Rad,) was used to measure the absorbance at 450 nm. The cells were seeded in a 96‐well plate at 1 × 105 cells/well and cultured for 24 h. Cisplatin was then added at different concentrations to continue the culture for 24 h. A total of 10 μl of CCK‐8 (Dojindo, Japan) solution was added to each well and incubated at 37°C for 3 h. An iMark™ microplate reader (Bio‐Rad,) was used to measure the absorbance at 450 nm. ATP measurement ATP levels were measured using an ATP measurement kit (Beyotime Biotech,), according to the manufacturer's instructions. Briefly, approximately 1 × 106 cells per well were seeded into a 6‐well plate. After treatment with or without targeted drugs for a specified period of time, the corresponding cells were collected and washed. The harvested cells were dissolved in ATP extract and then centrifuged at 12,000 × g at 4°C for 5 min. The supernatant was used as the sample to be detected and kept in an ice bath for later use. Samples were mixed with ATP reaction buffer, and a photometer (SpectraMax ID3, Molecular Devices) was used to assay the RLU values. The values of the different groups were standardized according to their own protein content. ATP levels were measured using an ATP measurement kit (Beyotime Biotech,), according to the manufacturer's instructions. Briefly, approximately 1 × 106 cells per well were seeded into a 6‐well plate. After treatment with or without targeted drugs for a specified period of time, the corresponding cells were collected and washed. The harvested cells were dissolved in ATP extract and then centrifuged at 12,000 × g at 4°C for 5 min. The supernatant was used as the sample to be detected and kept in an ice bath for later use. Samples were mixed with ATP reaction buffer, and a photometer (SpectraMax ID3, Molecular Devices) was used to assay the RLU values. The values of the different groups were standardized according to their own protein content. Apoptosis assays Annexin V‐PI double‐staining assay The integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA). The integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA). Caspase‐3/7 activity assays According to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system. According to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system. Annexin V‐PI double‐staining assay The integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA). The integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA). Caspase‐3/7 activity assays According to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system. According to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system. Plasmid and siRNA transfection The T24 cisplatin‐resistant cell line was selected for the knockdown of MLKL mRNA. Specific and non‐specific scrambled siRNAs were purchased from GenePharma. The T24 resistant cell line was also chosen to overexpress RIPK1. The pGV657‐3Flag‐RIPK1 plasmid and control plasmids were purchased from GeneChem. Cell transfection was performed using Lipofectamine™ 3000 reagent (Invitrogen, Thermo Fisher Scientific,), following the manufacturer's instructions. The T24 cisplatin‐resistant cell line was selected for the knockdown of MLKL mRNA. Specific and non‐specific scrambled siRNAs were purchased from GenePharma. The T24 resistant cell line was also chosen to overexpress RIPK1. The pGV657‐3Flag‐RIPK1 plasmid and control plasmids were purchased from GeneChem. Cell transfection was performed using Lipofectamine™ 3000 reagent (Invitrogen, Thermo Fisher Scientific,), following the manufacturer's instructions. Measuring ROS The cells were seeded in a 6‐well plate at 3 × 105 cells/well and cultured overnight. The cells were then treated with or without 10 μM N‐acetylcysteine (NAC) for 6 h. Then, the cells were incubated with 10 µmol/L 2’,7'‐dichlorodihydrofluorescein diacetate (DCFH‐DA) at 37℃ for 30 min to assess the ROS‐mediated oxidation of DCFH‐DA to the fluorescent compound DCF. Images of green fluorescence of DCF in the cells were acquired using a Nikon Ti‐U fluorescence microscope. Next, the stained cells were harvested and resuspended in 1 ml PBS. Fluorescence intensity was analyzed using a FACScan flow cytometer (Becton‐Dickinson,) at an excitation wavelength of 480 nm and an emission wavelength of 525 nm. The cells were seeded in a 6‐well plate at 3 × 105 cells/well and cultured overnight. The cells were then treated with or without 10 μM N‐acetylcysteine (NAC) for 6 h. Then, the cells were incubated with 10 µmol/L 2’,7'‐dichlorodihydrofluorescein diacetate (DCFH‐DA) at 37℃ for 30 min to assess the ROS‐mediated oxidation of DCFH‐DA to the fluorescent compound DCF. Images of green fluorescence of DCF in the cells were acquired using a Nikon Ti‐U fluorescence microscope. Next, the stained cells were harvested and resuspended in 1 ml PBS. Fluorescence intensity was analyzed using a FACScan flow cytometer (Becton‐Dickinson,) at an excitation wavelength of 480 nm and an emission wavelength of 525 nm. Mitochondrial DNA quantitation The Kaneka Easy DNA Extraction Kit (KN‐T110005, Kaneka) was used to extract total DNA from the cells following the manufacturer's instructions. The specific primers used to quantify mitochondrial DNA and nuclear DNA are listed in Table 1. The comparative change‐in‐cycle method (ΔΔCT) was used to quantify the relative change in transcript copy number. The Kaneka Easy DNA Extraction Kit (KN‐T110005, Kaneka) was used to extract total DNA from the cells following the manufacturer's instructions. The specific primers used to quantify mitochondrial DNA and nuclear DNA are listed in Table 1. The comparative change‐in‐cycle method (ΔΔCT) was used to quantify the relative change in transcript copy number. Statistical analysis An unpaired t test was used to analyze the differences between the two groups. All experiments were performed at least three times and expressed as mean ±standard error (SEM). Statistical significance was set at p < 0.05. *p < 0.05, **p < 0.01, and ***p < 0.001. An unpaired t test was used to analyze the differences between the two groups. All experiments were performed at least three times and expressed as mean ±standard error (SEM). Statistical significance was set at p < 0.05. *p < 0.05, **p < 0.01, and ***p < 0.001. Cell culture and drug treatment: All bladder cancer cell lines, including J82, T24, RT4, and TCCSUP, were purchased from Shanghai Institute of Cell Biology, Chinese Academy of Sciences. These cells were maintained at 37°C and 5% CO2 in a humid environment and cultured in a suitable medium containing 10% fetal bovine serum. Cells were collected in mid‐log phase for related experiments. As previously described 4, a progressively increasing concentration gradient was used to induce cisplatin resistance in bladder cancer cell lines. Then, 10 µM piperlongumine was used to treat the cisplatin‐resistant cells. Tissue samples: Human bladder cancer tissues were obtained from 27 patients who underwent cisplatin‐based chemotherapy at The Affiliated People's Hospital of Ningbo University. All patients provided written informed consent prior to treatment and surgery. The patients were divided into two groups based on their therapy outcomes: 14 in the sensitive group and 13 in the resistant group, of which 12 cases of normal adjacent tissues were taken from the two groups. Patients who relapsed after cisplatin treatment were considered cisplatin‐resistant. The study protocol was approved by the Ethics Committee of The Affiliated People's Hospital of Ningbo University. Quantitative real‐time PCR: Total RNA was extracted using the TRIzol reagent (Invitrogen). Reverse transcription was performed using a PrimeScript RT Master Mix kit (Takara). The cDNAs were amplified by qRT‐PCR using SYBR Green PCR Master Mix (Roche,) on a LightCycler480 system, and relative abundance was normalized to the expression of the endogenous control, GAPDH. The PCR primers used are listed in Table 1. Oligonucleotide sequence of primer set used to amplify in each cDNA Western blot analysis: Proteins were separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis according to molecular weight, transferred to a polyvinylidene fluoride membrane (Bio‐Rad), and blocked with TBS‐T containing 5% non‐fat dry milk. Anti‐RIPK1 (1:1000, Cell Signaling Technology,), anti‐p‐RIPK1 (1:1000 CST), anti‐RIPK3 (1:1000; Abcam,), anti‐p‐RIPK3 (1:1000; Abcam), anti‐MLKL (1:1000; Abcam), anti‐p‐MLKL (1:1000; Abcam), anti‐p‐DRP1(1:1000; Abcam), and anti‐GAPDH (1:1000; Abcam) antibodies were diluted with TBS‐T containing 3% non‐fat dry milk and incubated overnight at 4°C. After washing in TBS‐T, the membranes were incubated with a horseradish peroxidase‐conjugated secondary antibody (1:5000; Abcam,) for 1 h. It was washed again in TBS‐T and developed using ECL‐Plus (GE Healthcare, Life Sciences,). Cell survival assay: The cells were seeded in a 96‐well plate at 1 × 105 cells/well and cultured for 24 h. Cisplatin was then added at different concentrations to continue the culture for 24 h. A total of 10 μl of CCK‐8 (Dojindo, Japan) solution was added to each well and incubated at 37°C for 3 h. An iMark™ microplate reader (Bio‐Rad,) was used to measure the absorbance at 450 nm. ATP measurement: ATP levels were measured using an ATP measurement kit (Beyotime Biotech,), according to the manufacturer's instructions. Briefly, approximately 1 × 106 cells per well were seeded into a 6‐well plate. After treatment with or without targeted drugs for a specified period of time, the corresponding cells were collected and washed. The harvested cells were dissolved in ATP extract and then centrifuged at 12,000 × g at 4°C for 5 min. The supernatant was used as the sample to be detected and kept in an ice bath for later use. Samples were mixed with ATP reaction buffer, and a photometer (SpectraMax ID3, Molecular Devices) was used to assay the RLU values. The values of the different groups were standardized according to their own protein content. Apoptosis assays: Annexin V‐PI double‐staining assay The integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA). The integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA). Caspase‐3/7 activity assays According to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system. According to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system. Annexin V‐PI double‐staining assay: The integrity of the cell membrane was evaluated using an annexin V‐fluorescein (FITC)/propidium iodide (PI) double‐staining assay kit (China Unitech Biotechnology Co., Ltd.). Briefly, the cells were collected and resuspended in 500 μl of 1× binding buffer. After adding 10 μl of PI and 5 μl of Annexin V‐FITC to the cell suspension, the samples were incubated in the dark at 25°C for 15 min. The cells were then detected on a FACScan flow cytometer (Becton Dickinson,), and the results were analyzed using FlowJo software (BD, USA). Caspase‐3/7 activity assays: According to the manufacturer's manual (G8090, Promega), the caspase‐3/7 activity was analyzed using the Caspase‐Glo 3/7 assay system. Plasmid and siRNA transfection: The T24 cisplatin‐resistant cell line was selected for the knockdown of MLKL mRNA. Specific and non‐specific scrambled siRNAs were purchased from GenePharma. The T24 resistant cell line was also chosen to overexpress RIPK1. The pGV657‐3Flag‐RIPK1 plasmid and control plasmids were purchased from GeneChem. Cell transfection was performed using Lipofectamine™ 3000 reagent (Invitrogen, Thermo Fisher Scientific,), following the manufacturer's instructions. Measuring ROS: The cells were seeded in a 6‐well plate at 3 × 105 cells/well and cultured overnight. The cells were then treated with or without 10 μM N‐acetylcysteine (NAC) for 6 h. Then, the cells were incubated with 10 µmol/L 2’,7'‐dichlorodihydrofluorescein diacetate (DCFH‐DA) at 37℃ for 30 min to assess the ROS‐mediated oxidation of DCFH‐DA to the fluorescent compound DCF. Images of green fluorescence of DCF in the cells were acquired using a Nikon Ti‐U fluorescence microscope. Next, the stained cells were harvested and resuspended in 1 ml PBS. Fluorescence intensity was analyzed using a FACScan flow cytometer (Becton‐Dickinson,) at an excitation wavelength of 480 nm and an emission wavelength of 525 nm. Mitochondrial DNA quantitation: The Kaneka Easy DNA Extraction Kit (KN‐T110005, Kaneka) was used to extract total DNA from the cells following the manufacturer's instructions. The specific primers used to quantify mitochondrial DNA and nuclear DNA are listed in Table 1. The comparative change‐in‐cycle method (ΔΔCT) was used to quantify the relative change in transcript copy number. Statistical analysis: An unpaired t test was used to analyze the differences between the two groups. All experiments were performed at least three times and expressed as mean ±standard error (SEM). Statistical significance was set at p < 0.05. *p < 0.05, **p < 0.01, and ***p < 0.001. RESULTS: RIPK1 is an important tumor suppressor and related to the cisplatin resistance in bladder cancer tissues To detect the level of RIPK1 in bladder cancer, we first analyzed the TCGA dataset and found that RIPK1 was downregulated in bladder cancer samples compared with that in normal tissues (Figure 1A). Furthermore, we found that RIPK1 expression was associated with tumor metastasis (Figure 1B). We collected our own clinical samples, including 12 normal tissues, 14 cancer tissues from patients who were sensitive to cisplatin, and 13 cancer tissues from patients who were resistant to cisplatin, and used qRT‐PCR to detect the expression of RIPK1 in these samples. The results showed that RIPK1 had higher levels in normal tissues than in cancer tissues, which was similar to the TCGA dataset analysis (Figure 1C). Interestingly, we found that the RIPK1 expression in resistant patients was significantly lower than that in sensitive patients. In addition, we standardized RIPK1 activity with its total protein expression level and found that the relative activity of RIPK1 in patients with cisplatin resistance was also obviously decreased (Figure 1D). These findings indicate that RIPK1 may play an important role in tumor progression and that its expression may be closely related to cisplatin resistance in bladder cancer. RIPK1 expression was downregulated in patients with cisplatin‐resistant bladder cancer. (A). Expression of RIPK1 in bladder cancer based on sample types in the TCGA datasets. (B). Expression of RIPK1 in bladder cancer based on nodal metastasis status in the TCGA datasets. (C). The mRNA expression of RIPK1 in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients. (D). The RIPK1 activity (phosphorylated form) in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients, which is standard to its own protein expression level To detect the level of RIPK1 in bladder cancer, we first analyzed the TCGA dataset and found that RIPK1 was downregulated in bladder cancer samples compared with that in normal tissues (Figure 1A). Furthermore, we found that RIPK1 expression was associated with tumor metastasis (Figure 1B). We collected our own clinical samples, including 12 normal tissues, 14 cancer tissues from patients who were sensitive to cisplatin, and 13 cancer tissues from patients who were resistant to cisplatin, and used qRT‐PCR to detect the expression of RIPK1 in these samples. The results showed that RIPK1 had higher levels in normal tissues than in cancer tissues, which was similar to the TCGA dataset analysis (Figure 1C). Interestingly, we found that the RIPK1 expression in resistant patients was significantly lower than that in sensitive patients. In addition, we standardized RIPK1 activity with its total protein expression level and found that the relative activity of RIPK1 in patients with cisplatin resistance was also obviously decreased (Figure 1D). These findings indicate that RIPK1 may play an important role in tumor progression and that its expression may be closely related to cisplatin resistance in bladder cancer. RIPK1 expression was downregulated in patients with cisplatin‐resistant bladder cancer. (A). Expression of RIPK1 in bladder cancer based on sample types in the TCGA datasets. (B). Expression of RIPK1 in bladder cancer based on nodal metastasis status in the TCGA datasets. (C). The mRNA expression of RIPK1 in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients. (D). The RIPK1 activity (phosphorylated form) in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients, which is standard to its own protein expression level RIPK1 expression was downregulated with the development of cisplatin resistance in bladder cancer cells To further explore the relationship between RIPK1 expression and cisplatin resistance, we detected the expression of RIPK1 in different bladder cancer cell lines by Western blotting and tested their sensitivity to cisplatin using the CCK‐8 assay. The results showed that the cell lines with high RIPK1 expression were significantly more sensitive to cisplatin than the cell lines with low RIPK1 expression (Figure 2A,B). Next, we constructed two bladder cancer cell lines resistant to cisplatin therapy. Compared with their parental cells, J82 and T24 resistant cells were obviously insensitive to cisplatin treatment (Figure 2C,D). The IC50 values of cisplatin in J82 and T24 resistant cells were also significantly higher than those in parental cells (Figure 2C,D). We further detected the expression of RIPK1 in J82 and T24 parental and resistant cells and found that the level of RIPK1 was conspicuously reduced compared with that in the parental cells (Figure 2E). Altogether, our data indicate that RIPK1 expression was downregulated with the development of cisplatin resistance in vitro. RIPK1 expression was downregulated with the development of cisplatin resistance in bladder cancer cells. (A). Western blotting and qRT‐PCR were performed to test the level of RIPK1 in bladder cancer cells (J82, T24, RT4, and TCCSUP). (B). J82, T24, RT4, and TCCSUP cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown on the left, and the IC50 values were shown on the right. (C, D). J82 and T24 parental and resistant cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown above, and the IC50 values were shown below. (E). Western blotting was performed to detect the expression of RIPK1 in J82 and T24 parental and resistant cells To further explore the relationship between RIPK1 expression and cisplatin resistance, we detected the expression of RIPK1 in different bladder cancer cell lines by Western blotting and tested their sensitivity to cisplatin using the CCK‐8 assay. The results showed that the cell lines with high RIPK1 expression were significantly more sensitive to cisplatin than the cell lines with low RIPK1 expression (Figure 2A,B). Next, we constructed two bladder cancer cell lines resistant to cisplatin therapy. Compared with their parental cells, J82 and T24 resistant cells were obviously insensitive to cisplatin treatment (Figure 2C,D). The IC50 values of cisplatin in J82 and T24 resistant cells were also significantly higher than those in parental cells (Figure 2C,D). We further detected the expression of RIPK1 in J82 and T24 parental and resistant cells and found that the level of RIPK1 was conspicuously reduced compared with that in the parental cells (Figure 2E). Altogether, our data indicate that RIPK1 expression was downregulated with the development of cisplatin resistance in vitro. RIPK1 expression was downregulated with the development of cisplatin resistance in bladder cancer cells. (A). Western blotting and qRT‐PCR were performed to test the level of RIPK1 in bladder cancer cells (J82, T24, RT4, and TCCSUP). (B). J82, T24, RT4, and TCCSUP cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown on the left, and the IC50 values were shown on the right. (C, D). J82 and T24 parental and resistant cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown above, and the IC50 values were shown below. (E). Western blotting was performed to detect the expression of RIPK1 in J82 and T24 parental and resistant cells Apoptosis was inhibited in cisplatin‐resistant bladder cancer cells We used flow cytometry to test the apoptosis levels of J82 and T24 parental and resistant cells, as apoptosis is an important mode of cisplatin‐induced cell death. The data showed that cisplatin treatment barely induced apoptosis in the J82 and T24 resistant cells (Figure 3A,B). Consistently, caspase‐3/7 activation was also inhibited in resistant cells (Figure 3C). Therefore, our results suggest that apoptosis is inhibited in cisplatin‐resistant bladder cancer cells. Apoptosis was inhibited in cisplatin‐resistant bladder cancer cells. (A). J82 and T24 parental and resistant cells were treated with 20 µM cisplatin for 24 h. Representative density plots of flow cytometric analysis on the fraction of apoptosis cells were detected with Annexin V/PI. The histogram represents the mean values of three independent experiments shown in B. (C). After treating the J82 and T24 parental cells with 20 μM cisplatin and resistance for 24 h, the caspase‐3/7 activity in the cells was detected We used flow cytometry to test the apoptosis levels of J82 and T24 parental and resistant cells, as apoptosis is an important mode of cisplatin‐induced cell death. The data showed that cisplatin treatment barely induced apoptosis in the J82 and T24 resistant cells (Figure 3A,B). Consistently, caspase‐3/7 activation was also inhibited in resistant cells (Figure 3C). Therefore, our results suggest that apoptosis is inhibited in cisplatin‐resistant bladder cancer cells. Apoptosis was inhibited in cisplatin‐resistant bladder cancer cells. (A). J82 and T24 parental and resistant cells were treated with 20 µM cisplatin for 24 h. Representative density plots of flow cytometric analysis on the fraction of apoptosis cells were detected with Annexin V/PI. The histogram represents the mean values of three independent experiments shown in B. (C). After treating the J82 and T24 parental cells with 20 μM cisplatin and resistance for 24 h, the caspase‐3/7 activity in the cells was detected PL increased the sensitivity of resistant cells to cisplatin by activating RIPK1‐induced non‐apoptotic cell death As PL is an effective anti‐cancer agent that selectively kills cancer cells 12, we further studied whether PL could improve the sensitivity of cisplatin‐resistant cells. We discovered that PL treatment of T24 resistant cells significantly increased the expression of RIPK1 and activated RIPK1 phosphorylation (Figure 4A), suggesting that PL is an activator of RIPK1. In contrast to cisplatin treatment alone, PL activation of RIPK1 alone triggered increased cell death in T24 resistant cells (Figure 4B). Furthermore, PL in combination with cisplatin caused a higher percentage of cell death in T24 resistant cells (Figure 4B), indicating that RIPK1 activation by PL could amplify the killing effect of cisplatin. Unexpectedly, PL alone or in combination with cisplatin did not significantly enhance apoptosis in T24 resistant cells (Figure 4C). However, PL treatment caused a decrease in ATP level in T24 resistant cells (Figure 4D), suggesting that PL induced another way of cell death rather than apoptosis. To further explore the effect of RIPK1, we overexpressed RIPK1 by transfecting it with the plasmid and found that RIPK1 overexpression increased the sensitivity of cisplatin‐resistant cells (Figure 4E,F). Altogether, our results suggest that PL increased the sensitivity of cisplatin‐resistant cells by activating RIPK1‐induced non‐apoptotic cell death. PL increased the sensitivity of resistant cells to cisplatin by activating the RIPK1‐induced non‐apoptotic cell death. A total of 5 µM PL and 20 µM cisplatin alone or their combination were used to treat T24 resistant cells for 24 h. (A). The expression of RIPK1 in T24 resistant cells was assessed by Western blotting. (B). The cell viability was detected by CCK‐8 assay. (C). The apoptosis level was determined by Annexin V/PI staining. (D). The ATP level was tested using an ATP measurement kit. (E). The expression of RIPK1 in T24 resistant cells transfected with RIPK1 plasmid was analyzed by Western blotting. (F). T24 resistant cells were transfected with RIPK1 plasmid and then treated with cisplatin for 24 h. Cell viability was detected using the CCK‐8 assay As PL is an effective anti‐cancer agent that selectively kills cancer cells 12, we further studied whether PL could improve the sensitivity of cisplatin‐resistant cells. We discovered that PL treatment of T24 resistant cells significantly increased the expression of RIPK1 and activated RIPK1 phosphorylation (Figure 4A), suggesting that PL is an activator of RIPK1. In contrast to cisplatin treatment alone, PL activation of RIPK1 alone triggered increased cell death in T24 resistant cells (Figure 4B). Furthermore, PL in combination with cisplatin caused a higher percentage of cell death in T24 resistant cells (Figure 4B), indicating that RIPK1 activation by PL could amplify the killing effect of cisplatin. Unexpectedly, PL alone or in combination with cisplatin did not significantly enhance apoptosis in T24 resistant cells (Figure 4C). However, PL treatment caused a decrease in ATP level in T24 resistant cells (Figure 4D), suggesting that PL induced another way of cell death rather than apoptosis. To further explore the effect of RIPK1, we overexpressed RIPK1 by transfecting it with the plasmid and found that RIPK1 overexpression increased the sensitivity of cisplatin‐resistant cells (Figure 4E,F). Altogether, our results suggest that PL increased the sensitivity of cisplatin‐resistant cells by activating RIPK1‐induced non‐apoptotic cell death. PL increased the sensitivity of resistant cells to cisplatin by activating the RIPK1‐induced non‐apoptotic cell death. A total of 5 µM PL and 20 µM cisplatin alone or their combination were used to treat T24 resistant cells for 24 h. (A). The expression of RIPK1 in T24 resistant cells was assessed by Western blotting. (B). The cell viability was detected by CCK‐8 assay. (C). The apoptosis level was determined by Annexin V/PI staining. (D). The ATP level was tested using an ATP measurement kit. (E). The expression of RIPK1 in T24 resistant cells transfected with RIPK1 plasmid was analyzed by Western blotting. (F). T24 resistant cells were transfected with RIPK1 plasmid and then treated with cisplatin for 24 h. Cell viability was detected using the CCK‐8 assay PL‐induced necroptosis in bladder cancer resistant cells Since PL alone or in combination with cisplatin could indeed cause the death of T24 resistant cells, the level of apoptosis did not increase significantly; therefore, we further explored its underlying mechanism. In previous experiments, we found that PL could activate PIPK1, which is the key regulator of necroptosis; thus, we hypothesized that PL could trigger necroptosis in T24 resistant cells. As expected, treatment with PL alone or in combination with cisplatin did not change the total protein expression levels of RIP3 and MLKL in T24 resistant cells, but their phosphorylation levels were significantly enhanced (Figure 5A). In addition, pretreatment with an MLKL inhibitor (NSA) inhibited the cell death caused by PL treatment or its combination with cisplatin (Figure 5B). However, pretreatment with the apoptosis inhibitor z‐VAD did not achieve similar effects (Figure 5C). PL‐induced necroptosis in T24 resistant bladder cancer cells. (A). The 5 µM PL and 20 µM cisplatin (Cis) alone or their combination (Cis+PL) were used to treat T24 resistant cells for 24 h. The expression of p‐RIP3, RIP3, p‐MLKL, and MLKL were analyzed by Western blotting. (B). The 5 μM MLKL inhibitor NSA was used to pretreat T24 resistant cells for 3 h, and then, 5 µM PL or its combination with 20 µM cisplatin were used to treat the cells for another 24 h. The cell viability was detected by CCK‐8 assay. (C). After pretreating with 10 μM caspases inhibitor z‐VAD for 3 h, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. The cell viability was detected by CCK‐8 assay. (D, E). After transfecting with MLKL siRNA, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. D. The expressions of MLKL and p‐MLKL were analyzed by Western blotting. E. The cell viability was analyzed by CCK‐8 assay Furthermore, siRNA knockdown of MLKL had an effect similar to that of NSA and inhibited cell death and MLKL phosphorylation that were induced by PL alone or in combination with cisplatin (Figure 5D,E). Therefore, our results suggest that PL could eliminate T24 resistant cells by inducing necroptosis. Since PL alone or in combination with cisplatin could indeed cause the death of T24 resistant cells, the level of apoptosis did not increase significantly; therefore, we further explored its underlying mechanism. In previous experiments, we found that PL could activate PIPK1, which is the key regulator of necroptosis; thus, we hypothesized that PL could trigger necroptosis in T24 resistant cells. As expected, treatment with PL alone or in combination with cisplatin did not change the total protein expression levels of RIP3 and MLKL in T24 resistant cells, but their phosphorylation levels were significantly enhanced (Figure 5A). In addition, pretreatment with an MLKL inhibitor (NSA) inhibited the cell death caused by PL treatment or its combination with cisplatin (Figure 5B). However, pretreatment with the apoptosis inhibitor z‐VAD did not achieve similar effects (Figure 5C). PL‐induced necroptosis in T24 resistant bladder cancer cells. (A). The 5 µM PL and 20 µM cisplatin (Cis) alone or their combination (Cis+PL) were used to treat T24 resistant cells for 24 h. The expression of p‐RIP3, RIP3, p‐MLKL, and MLKL were analyzed by Western blotting. (B). The 5 μM MLKL inhibitor NSA was used to pretreat T24 resistant cells for 3 h, and then, 5 µM PL or its combination with 20 µM cisplatin were used to treat the cells for another 24 h. The cell viability was detected by CCK‐8 assay. (C). After pretreating with 10 μM caspases inhibitor z‐VAD for 3 h, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. The cell viability was detected by CCK‐8 assay. (D, E). After transfecting with MLKL siRNA, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. D. The expressions of MLKL and p‐MLKL were analyzed by Western blotting. E. The cell viability was analyzed by CCK‐8 assay Furthermore, siRNA knockdown of MLKL had an effect similar to that of NSA and inhibited cell death and MLKL phosphorylation that were induced by PL alone or in combination with cisplatin (Figure 5D,E). Therefore, our results suggest that PL could eliminate T24 resistant cells by inducing necroptosis. Excessive ROS production by mitochondria contributed to necroptosis in cisplatin‐resistant cells induced by PL We investigated why PL‐induced necroptosis in the drug‐resistant cells. It has been revealed that PL can induce ROS production and that ROS is closely associated with the anti‐cancer effects of PL. 13 , 18 ROS can activate RIPK1 by modifying three crucial cysteine residues to induce necroptosis. 19 , 20 Therefore, we used the DCFH‐DA fluorescent dye to detect ROS levels in the different drug treatment groups. As shown in Figure 6A, the level of ROS increased in the group treated with PL alone and the group treated with PL in combination with cisplatin. Because mitochondria are the major source of ROS production, 21 we next assayed their function in the group treated with PL alone and in the group treat with PL in combination with cisplatin. Surprisingly, we found a significant increase in the copy number of mitochondrial DNA (Figure 6B). This suggests that the mitochondria undergo fission under the action of PL to produce more ROS. Indeed, treatment with PL or its combination with cisplatin increased the phosphorylation level of dynamin‐related protein 1 (DRP1), the key protein of mitochondrial fission, suggesting that mitochondria are involved in excessive ROS production (Figure 6C). Over‐excessive of ROS from mitochondria contributed to PL‐induced necroptosis in cisplatin‐resistant cells. (A). T24 resistant cells were pretreated with/without 10 mM NAC for 6 h; then, the cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Fluorescence microscopy of cells was conducted following the 10 μM DCFH‐DA staining for 30 min (scale bar, 100 µm). Flow cytometry was used for the quantitative analysis of DCF. T24 resistant cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Mitochondrial DNA relative to the control is shown in B, as measured by qRT‐PCR. The expression of p‐DRP1, as analyzed by Western blotting, is shown in C. T24 resistant cells were pretreated with or without 10 mM NAC for 6 h and then treated with 5 µM PL in combination with 20 µM cisplatin (Cis+PL) for 24 h. Cell viability analyzed using the CCK‐8 assay is shown in D. The expression of RIPK1 and p‐RIPK1 analyzed by Western blotting is shown in E To further address the role of ROS, we treated the combination group with the antioxidant NAC to clear ROS (Figure 6A). The expression of p‐RIPK1 in the combination group and the survival of drug‐resistant cells were reexamined. NAC restored the high expression of p‐RIPK1 and enhanced the survival of drug‐resistant cells (Figure 6D,E), suggesting that ROS contributed to PL‐induced necroptosis in cisplatin‐resistant cells. In summary, PL induces necroptosis in cisplatin‐resistant cells by stimulating mitochondrial fission to produce excessive ROS. We investigated why PL‐induced necroptosis in the drug‐resistant cells. It has been revealed that PL can induce ROS production and that ROS is closely associated with the anti‐cancer effects of PL. 13 , 18 ROS can activate RIPK1 by modifying three crucial cysteine residues to induce necroptosis. 19 , 20 Therefore, we used the DCFH‐DA fluorescent dye to detect ROS levels in the different drug treatment groups. As shown in Figure 6A, the level of ROS increased in the group treated with PL alone and the group treated with PL in combination with cisplatin. Because mitochondria are the major source of ROS production, 21 we next assayed their function in the group treated with PL alone and in the group treat with PL in combination with cisplatin. Surprisingly, we found a significant increase in the copy number of mitochondrial DNA (Figure 6B). This suggests that the mitochondria undergo fission under the action of PL to produce more ROS. Indeed, treatment with PL or its combination with cisplatin increased the phosphorylation level of dynamin‐related protein 1 (DRP1), the key protein of mitochondrial fission, suggesting that mitochondria are involved in excessive ROS production (Figure 6C). Over‐excessive of ROS from mitochondria contributed to PL‐induced necroptosis in cisplatin‐resistant cells. (A). T24 resistant cells were pretreated with/without 10 mM NAC for 6 h; then, the cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Fluorescence microscopy of cells was conducted following the 10 μM DCFH‐DA staining for 30 min (scale bar, 100 µm). Flow cytometry was used for the quantitative analysis of DCF. T24 resistant cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Mitochondrial DNA relative to the control is shown in B, as measured by qRT‐PCR. The expression of p‐DRP1, as analyzed by Western blotting, is shown in C. T24 resistant cells were pretreated with or without 10 mM NAC for 6 h and then treated with 5 µM PL in combination with 20 µM cisplatin (Cis+PL) for 24 h. Cell viability analyzed using the CCK‐8 assay is shown in D. The expression of RIPK1 and p‐RIPK1 analyzed by Western blotting is shown in E To further address the role of ROS, we treated the combination group with the antioxidant NAC to clear ROS (Figure 6A). The expression of p‐RIPK1 in the combination group and the survival of drug‐resistant cells were reexamined. NAC restored the high expression of p‐RIPK1 and enhanced the survival of drug‐resistant cells (Figure 6D,E), suggesting that ROS contributed to PL‐induced necroptosis in cisplatin‐resistant cells. In summary, PL induces necroptosis in cisplatin‐resistant cells by stimulating mitochondrial fission to produce excessive ROS. RIPK1 is an important tumor suppressor and related to the cisplatin resistance in bladder cancer tissues: To detect the level of RIPK1 in bladder cancer, we first analyzed the TCGA dataset and found that RIPK1 was downregulated in bladder cancer samples compared with that in normal tissues (Figure 1A). Furthermore, we found that RIPK1 expression was associated with tumor metastasis (Figure 1B). We collected our own clinical samples, including 12 normal tissues, 14 cancer tissues from patients who were sensitive to cisplatin, and 13 cancer tissues from patients who were resistant to cisplatin, and used qRT‐PCR to detect the expression of RIPK1 in these samples. The results showed that RIPK1 had higher levels in normal tissues than in cancer tissues, which was similar to the TCGA dataset analysis (Figure 1C). Interestingly, we found that the RIPK1 expression in resistant patients was significantly lower than that in sensitive patients. In addition, we standardized RIPK1 activity with its total protein expression level and found that the relative activity of RIPK1 in patients with cisplatin resistance was also obviously decreased (Figure 1D). These findings indicate that RIPK1 may play an important role in tumor progression and that its expression may be closely related to cisplatin resistance in bladder cancer. RIPK1 expression was downregulated in patients with cisplatin‐resistant bladder cancer. (A). Expression of RIPK1 in bladder cancer based on sample types in the TCGA datasets. (B). Expression of RIPK1 in bladder cancer based on nodal metastasis status in the TCGA datasets. (C). The mRNA expression of RIPK1 in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients. (D). The RIPK1 activity (phosphorylated form) in tumor tissue samples from normal (N = 12), sensitive (N = 14), and cisplatin‐resistant (N = 13) bladder cancer patients, which is standard to its own protein expression level RIPK1 expression was downregulated with the development of cisplatin resistance in bladder cancer cells: To further explore the relationship between RIPK1 expression and cisplatin resistance, we detected the expression of RIPK1 in different bladder cancer cell lines by Western blotting and tested their sensitivity to cisplatin using the CCK‐8 assay. The results showed that the cell lines with high RIPK1 expression were significantly more sensitive to cisplatin than the cell lines with low RIPK1 expression (Figure 2A,B). Next, we constructed two bladder cancer cell lines resistant to cisplatin therapy. Compared with their parental cells, J82 and T24 resistant cells were obviously insensitive to cisplatin treatment (Figure 2C,D). The IC50 values of cisplatin in J82 and T24 resistant cells were also significantly higher than those in parental cells (Figure 2C,D). We further detected the expression of RIPK1 in J82 and T24 parental and resistant cells and found that the level of RIPK1 was conspicuously reduced compared with that in the parental cells (Figure 2E). Altogether, our data indicate that RIPK1 expression was downregulated with the development of cisplatin resistance in vitro. RIPK1 expression was downregulated with the development of cisplatin resistance in bladder cancer cells. (A). Western blotting and qRT‐PCR were performed to test the level of RIPK1 in bladder cancer cells (J82, T24, RT4, and TCCSUP). (B). J82, T24, RT4, and TCCSUP cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown on the left, and the IC50 values were shown on the right. (C, D). J82 and T24 parental and resistant cells were treated with cisplatin for 24 h according to the specific concentration gradient and then analyzed with CCK‐8 assays. The survival curve was shown above, and the IC50 values were shown below. (E). Western blotting was performed to detect the expression of RIPK1 in J82 and T24 parental and resistant cells Apoptosis was inhibited in cisplatin‐resistant bladder cancer cells: We used flow cytometry to test the apoptosis levels of J82 and T24 parental and resistant cells, as apoptosis is an important mode of cisplatin‐induced cell death. The data showed that cisplatin treatment barely induced apoptosis in the J82 and T24 resistant cells (Figure 3A,B). Consistently, caspase‐3/7 activation was also inhibited in resistant cells (Figure 3C). Therefore, our results suggest that apoptosis is inhibited in cisplatin‐resistant bladder cancer cells. Apoptosis was inhibited in cisplatin‐resistant bladder cancer cells. (A). J82 and T24 parental and resistant cells were treated with 20 µM cisplatin for 24 h. Representative density plots of flow cytometric analysis on the fraction of apoptosis cells were detected with Annexin V/PI. The histogram represents the mean values of three independent experiments shown in B. (C). After treating the J82 and T24 parental cells with 20 μM cisplatin and resistance for 24 h, the caspase‐3/7 activity in the cells was detected PL increased the sensitivity of resistant cells to cisplatin by activating RIPK1‐induced non‐apoptotic cell death: As PL is an effective anti‐cancer agent that selectively kills cancer cells 12, we further studied whether PL could improve the sensitivity of cisplatin‐resistant cells. We discovered that PL treatment of T24 resistant cells significantly increased the expression of RIPK1 and activated RIPK1 phosphorylation (Figure 4A), suggesting that PL is an activator of RIPK1. In contrast to cisplatin treatment alone, PL activation of RIPK1 alone triggered increased cell death in T24 resistant cells (Figure 4B). Furthermore, PL in combination with cisplatin caused a higher percentage of cell death in T24 resistant cells (Figure 4B), indicating that RIPK1 activation by PL could amplify the killing effect of cisplatin. Unexpectedly, PL alone or in combination with cisplatin did not significantly enhance apoptosis in T24 resistant cells (Figure 4C). However, PL treatment caused a decrease in ATP level in T24 resistant cells (Figure 4D), suggesting that PL induced another way of cell death rather than apoptosis. To further explore the effect of RIPK1, we overexpressed RIPK1 by transfecting it with the plasmid and found that RIPK1 overexpression increased the sensitivity of cisplatin‐resistant cells (Figure 4E,F). Altogether, our results suggest that PL increased the sensitivity of cisplatin‐resistant cells by activating RIPK1‐induced non‐apoptotic cell death. PL increased the sensitivity of resistant cells to cisplatin by activating the RIPK1‐induced non‐apoptotic cell death. A total of 5 µM PL and 20 µM cisplatin alone or their combination were used to treat T24 resistant cells for 24 h. (A). The expression of RIPK1 in T24 resistant cells was assessed by Western blotting. (B). The cell viability was detected by CCK‐8 assay. (C). The apoptosis level was determined by Annexin V/PI staining. (D). The ATP level was tested using an ATP measurement kit. (E). The expression of RIPK1 in T24 resistant cells transfected with RIPK1 plasmid was analyzed by Western blotting. (F). T24 resistant cells were transfected with RIPK1 plasmid and then treated with cisplatin for 24 h. Cell viability was detected using the CCK‐8 assay PL‐induced necroptosis in bladder cancer resistant cells: Since PL alone or in combination with cisplatin could indeed cause the death of T24 resistant cells, the level of apoptosis did not increase significantly; therefore, we further explored its underlying mechanism. In previous experiments, we found that PL could activate PIPK1, which is the key regulator of necroptosis; thus, we hypothesized that PL could trigger necroptosis in T24 resistant cells. As expected, treatment with PL alone or in combination with cisplatin did not change the total protein expression levels of RIP3 and MLKL in T24 resistant cells, but their phosphorylation levels were significantly enhanced (Figure 5A). In addition, pretreatment with an MLKL inhibitor (NSA) inhibited the cell death caused by PL treatment or its combination with cisplatin (Figure 5B). However, pretreatment with the apoptosis inhibitor z‐VAD did not achieve similar effects (Figure 5C). PL‐induced necroptosis in T24 resistant bladder cancer cells. (A). The 5 µM PL and 20 µM cisplatin (Cis) alone or their combination (Cis+PL) were used to treat T24 resistant cells for 24 h. The expression of p‐RIP3, RIP3, p‐MLKL, and MLKL were analyzed by Western blotting. (B). The 5 μM MLKL inhibitor NSA was used to pretreat T24 resistant cells for 3 h, and then, 5 µM PL or its combination with 20 µM cisplatin were used to treat the cells for another 24 h. The cell viability was detected by CCK‐8 assay. (C). After pretreating with 10 μM caspases inhibitor z‐VAD for 3 h, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. The cell viability was detected by CCK‐8 assay. (D, E). After transfecting with MLKL siRNA, the T24 resistant cells were treated with 5 µM PL or its combination with 20 µM cisplatin for another 24 h. D. The expressions of MLKL and p‐MLKL were analyzed by Western blotting. E. The cell viability was analyzed by CCK‐8 assay Furthermore, siRNA knockdown of MLKL had an effect similar to that of NSA and inhibited cell death and MLKL phosphorylation that were induced by PL alone or in combination with cisplatin (Figure 5D,E). Therefore, our results suggest that PL could eliminate T24 resistant cells by inducing necroptosis. Excessive ROS production by mitochondria contributed to necroptosis in cisplatin‐resistant cells induced by PL: We investigated why PL‐induced necroptosis in the drug‐resistant cells. It has been revealed that PL can induce ROS production and that ROS is closely associated with the anti‐cancer effects of PL. 13 , 18 ROS can activate RIPK1 by modifying three crucial cysteine residues to induce necroptosis. 19 , 20 Therefore, we used the DCFH‐DA fluorescent dye to detect ROS levels in the different drug treatment groups. As shown in Figure 6A, the level of ROS increased in the group treated with PL alone and the group treated with PL in combination with cisplatin. Because mitochondria are the major source of ROS production, 21 we next assayed their function in the group treated with PL alone and in the group treat with PL in combination with cisplatin. Surprisingly, we found a significant increase in the copy number of mitochondrial DNA (Figure 6B). This suggests that the mitochondria undergo fission under the action of PL to produce more ROS. Indeed, treatment with PL or its combination with cisplatin increased the phosphorylation level of dynamin‐related protein 1 (DRP1), the key protein of mitochondrial fission, suggesting that mitochondria are involved in excessive ROS production (Figure 6C). Over‐excessive of ROS from mitochondria contributed to PL‐induced necroptosis in cisplatin‐resistant cells. (A). T24 resistant cells were pretreated with/without 10 mM NAC for 6 h; then, the cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Fluorescence microscopy of cells was conducted following the 10 μM DCFH‐DA staining for 30 min (scale bar, 100 µm). Flow cytometry was used for the quantitative analysis of DCF. T24 resistant cells were treated with 5 µM PL alone or in combination with 20 µM cisplatin (Cis+PL) for 24 h. Mitochondrial DNA relative to the control is shown in B, as measured by qRT‐PCR. The expression of p‐DRP1, as analyzed by Western blotting, is shown in C. T24 resistant cells were pretreated with or without 10 mM NAC for 6 h and then treated with 5 µM PL in combination with 20 µM cisplatin (Cis+PL) for 24 h. Cell viability analyzed using the CCK‐8 assay is shown in D. The expression of RIPK1 and p‐RIPK1 analyzed by Western blotting is shown in E To further address the role of ROS, we treated the combination group with the antioxidant NAC to clear ROS (Figure 6A). The expression of p‐RIPK1 in the combination group and the survival of drug‐resistant cells were reexamined. NAC restored the high expression of p‐RIPK1 and enhanced the survival of drug‐resistant cells (Figure 6D,E), suggesting that ROS contributed to PL‐induced necroptosis in cisplatin‐resistant cells. In summary, PL induces necroptosis in cisplatin‐resistant cells by stimulating mitochondrial fission to produce excessive ROS. DISCUSSION: The occurrence and development of cisplatin resistance in bladder cancer is a clinical problem that urgently needs to be solved. To overcome cisplatin resistance and improve its efficacy, an increasing number of studies have investigated treatment strategies that can be combined with natural phytochemicals such as baicalein 22 eugenol, 23 fucoxanthin, 24 and emodin. 25 In our study, we found that PL, which is the major biologically active alkaloid in long peppers, can also increase the sensitivity of bladder cancer cells to cisplatin by activating RIPK1 to trigger necroptosis by excessive mitochondrial ROS. In our study, we first found that the expression of RIPK1 gradually decreased as the malignancy of bladder tumors increased (normal bladder>bladder cancer>cisplatin‐resistant bladder cancer tissues). In bladder cancer cells, cells with high RIPK1 expression are more sensitive to cisplatin than those with low expression. Next, we constructed cisplatin‐resistant J82 and T24 cell lines. We found that the resistant cells had a significantly lower expression of RIPK1 than the parental cells. Upregulation of RIPK1 re‐sensitizes bladder cancer cells to cisplatin treatment. These results indicate that RIPK1 may play an important role in tumor progression and that its expression is closely related to cisplatin resistance in bladder cancer. Cisplatin‐induced apoptosis was significantly inhibited in resistant cells. However, after treatment with PL in combination with cisplatin, the survival rate of the cells was distinctly reduced. Interestingly, cell apoptosis did not increase significantly; therefore, we believe that PL can increase the sensitivity of bladder cancer cells to cisplatin by inducing cell death other than apoptosis. RIPK1 is one of the most important regulators of necroptosis because of its kinase function, which can be activated by ROS. 20 It was reported that PL could induce ROS production and that ROS is heavily involved in the anti‐cancer effects of PL 13 , 18 ; cisplatin‐resistant cells in our study simply lack the expression of RIPK1. Therefore, we hypothesized that PL triggered necroptosis in resistant cells. As predicted, PL treatment enhanced the effect of cisplatin by activating the RIPK1/RIPK3/MLKL signaling pathway. Regarding the mechanism of RIPK1 activation by PL, it has been reported that ROS can induce autophosphorylation on S161 by modifying the three key cysteine residues in RIPK1. This phosphorylation event allows for efficient recruitment of RIP3 to RIP1 to form a functional necrosome, leading to necroptosis. 20 Thus, we detected the level of ROS in the group treated with PL alone and the group treated with PL in combination with cisplatin and found that ROS was obviously increased. Using the ROS scavenger NAC could resist most of the effects of PL, which suggested that ROS was necessary for PL‐induced necroptosis in cisplatin‐resistant cells. Because mitochondria are the major source of ROS production, 21 we also assayed mitochondrial function. Surprisingly, we found a significant increase in the copy number of mitochondrial DNA after PL treatment, suggesting that mitochondria undergo fission under the action of PL to produce more ROS. To prove this, we tested the mitochondrial fission protein dynamin‐related protein 1(DRP1). The data showed that the phosphorylation level of DRP1 (p‐DRP1) was significantly increased after treatment with PL alone or in combination with cisplatin. Previous studies have shown that PL is an effective anti‐cancer agent, which increases the level of ROS by disturbing the balance of oxidative stress in cells, thereby selectively killing cancer cells. 13 However, in our study, we found that PL stimulated mitochondrial fission to produce excess ROS. In summary, we report for the first time that RIPK1 expression is significantly reduced in the process of cisplatin resistance in bladder cancer. Upregulation of RIPK1 by PL can overcome cisplatin resistance in bladder cells and revert cell death from apoptosis to necroptosis. Furthermore, our study also revealed that the function of RIKP1 in PL‐induced necroptosis was also mediated by excessive ROS from the mitochondria (Figure 7). Schematic diagram of the mechanism by which PL enhanced the sensitivity of cisplatin to bladder cancer cells. In the process of cisplatin resistance in bladder cancer cells, RIPK1 expression was gradually lost. PL promotes mitochondrial fission by activating DRP‐1, which results in excessive ROS production. Then, ROS induces necroptosis of resistant cells by activating the expression of RIPK1, thereby enhancing the effect of cisplatin on bladder cancer cells CONFLICT OF INTERESTS: The authors declare that they have no competing interests. AUTHOR CONTRIBUTIONS: XP conceived the study and established its initial design. GC and WH performed the experiments and analyzed the data. XP prepared the study. All the authors have read and approved the final study. XP and GC confirmed the authenticity of the raw data.
Background: The development of cisplatin resistance often results in cisplatin inefficacy in advanced or recurrent bladder cancer. However, effective treatment strategies for cisplatin resistance have not been well established. Methods: Gene expression was measured by qRT-PCR and Western blotting. CCK-8 assay was performed to detect cell survival. The number of apoptotic cells was determined using the Annexin V-PI double-staining assay. The level of reactive oxygen species (ROS) was measured using 2',7'-dichlorodihydrofluorescein diacetate fluorescent dye, and the ATP level was detected using an ATP measurement kit. Results: The expression of receptor-interacting protein kinase 1 (RIPK1), a key regulator of necroptosis, gradually decreased during cisplatin resistance. We first used piperlongumine (PL) in combination with cisplatin to act on cisplatin-resistant BC cells and found that PL-induced activation of RIPK1 increased the sensitivity of T24 resistant cells to cisplatin treatment. Furthermore, we revealed that PL killed T24 cisplatin-resistant cells by triggering necroptosis, because cell death could be rescued by the mixed lineage kinase domain-like (MLKL) protein inhibitor necrotic sulfonamide or MLKL siRNA, but could not be suppressed by the apoptosis inhibitor z-VAD. We further explored the specific mechanism and found that PL activated RIPK1 to induce necroptosis in cisplatin-resistant cells by stimulating mitochondrial fission to produce excessive ROS. Conclusions: Our results demonstrated the role of RIPK1 in cisplatin-resistant cells and the sensitization effect of the natural drug PL on bladder cancer. These may provide a new treatment strategy for overcoming cisplatin resistance in bladder cancer.
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12,728
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[ 528, 105, 104, 87, 156, 87, 149, 282, 112, 24, 71, 140, 63, 69, 370, 369, 182, 396, 447, 542, 48 ]
25
[ "cells", "cisplatin", "resistant", "ripk1", "pl", "resistant cells", "cancer", "t24", "cell", "expression" ]
[ "cisplatin resistance bladder", "treatment bladder cancer", "effect cisplatin bladder", "ripk1 bladder cancer", "necroptosis bladder cancer" ]
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[CONTENT] cisplatin resistance | piperlongumine | reactive oxygen species | receptor‐interacting protein kinase 1 [SUMMARY]
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[CONTENT] cisplatin resistance | piperlongumine | reactive oxygen species | receptor‐interacting protein kinase 1 [SUMMARY]
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[CONTENT] cisplatin resistance | piperlongumine | reactive oxygen species | receptor‐interacting protein kinase 1 [SUMMARY]
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[CONTENT] Adenosine Triphosphate | Apoptosis | Cisplatin | Dioxolanes | Humans | Neoplasm Recurrence, Local | Reactive Oxygen Species | Receptor-Interacting Protein Serine-Threonine Kinases | Urinary Bladder Neoplasms [SUMMARY]
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[CONTENT] Adenosine Triphosphate | Apoptosis | Cisplatin | Dioxolanes | Humans | Neoplasm Recurrence, Local | Reactive Oxygen Species | Receptor-Interacting Protein Serine-Threonine Kinases | Urinary Bladder Neoplasms [SUMMARY]
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[CONTENT] Adenosine Triphosphate | Apoptosis | Cisplatin | Dioxolanes | Humans | Neoplasm Recurrence, Local | Reactive Oxygen Species | Receptor-Interacting Protein Serine-Threonine Kinases | Urinary Bladder Neoplasms [SUMMARY]
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[CONTENT] cisplatin resistance bladder | treatment bladder cancer | effect cisplatin bladder | ripk1 bladder cancer | necroptosis bladder cancer [SUMMARY]
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[CONTENT] cisplatin resistance bladder | treatment bladder cancer | effect cisplatin bladder | ripk1 bladder cancer | necroptosis bladder cancer [SUMMARY]
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[CONTENT] cisplatin resistance bladder | treatment bladder cancer | effect cisplatin bladder | ripk1 bladder cancer | necroptosis bladder cancer [SUMMARY]
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[CONTENT] cells | cisplatin | resistant | ripk1 | pl | resistant cells | cancer | t24 | cell | expression [SUMMARY]
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[CONTENT] cells | cisplatin | resistant | ripk1 | pl | resistant cells | cancer | t24 | cell | expression [SUMMARY]
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[CONTENT] cells | cisplatin | resistant | ripk1 | pl | resistant cells | cancer | t24 | cell | expression [SUMMARY]
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[CONTENT] cancer | bladder cancer | bladder | pl | cisplatin | advanced | necroptosis | ripk1 | considered | role [SUMMARY]
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[CONTENT] pl | cells | resistant | ripk1 | cisplatin | resistant cells | t24 | expression | t24 resistant cells | figure [SUMMARY]
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[CONTENT] cells | cisplatin | pl | ripk1 | resistant | resistant cells | cancer | t24 | cell | bladder [SUMMARY]
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[CONTENT] cisplatin ||| cisplatin [SUMMARY]
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[CONTENT] 1 | RIPK1 ||| cisplatin | BC | RIPK1 | T24 | cisplatin ||| PL | T24 ||| PL | RIPK1 | ROS [SUMMARY]
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[CONTENT] cisplatin ||| cisplatin ||| Western ||| ||| ||| ROS | ATP ||| ||| 1 | RIPK1 ||| cisplatin | BC | RIPK1 | T24 | cisplatin ||| PL | T24 ||| PL | RIPK1 | ROS ||| RIPK1 ||| [SUMMARY]
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Vascular endothelial growth factor receptor and coreceptor expression in human acute respiratory distress syndrome.
19327291
Acute respiratory distress syndrome (ARDS) is characterized by the development of noncardiogenic pulmonary edema, which has been related to the bioactivity of vascular endothelial growth factor (VEGF). Vascular endothelial growth factor receptors and coreceptors regulate this bioactivity. We hypothesized VEGF receptors 1 and 2 (VEGFR1, VEGFR2) and coreceptor neuropilin-1 (NRP-1) would be expressed in human lung tissue with a significant change in expression in ARDS lung.
BACKGROUND
Archival "normal" (no lung pathology and non-ARDS), "early" (within 48 hours), and "later" (after day 7) ARDS lung-tissue sections (n = 5) were immunostained for VEGFR1, VEGFR2, and NRP-1 from human subjects (n = 4). Staining was assessed densitometrically using Histometrix software.
METHODS
VEGFR1, VEGFR2, and NRP-1 were expressed on both sides of the alveolar-capillary membrane in both normal and ARDS human lung tissue. In later ARDS, there was a significant up-regulation of VEGFR1 and VEGFR2 versus normal and early ARDS (P < .0001). Neuropilin-1 was down-regulated in early ARDS versus normal lung (P < .05), with normalization in later ARDS (P < .001).
RESULTS
Differential temporal VEGFR1, VEGFR2, and NRP-1 up-regulation occurs in human ARDS, providing evidence of further functional regulation of VEGF bioactivity via VEGFR2 consistent with a protective role for VEGF in lung injury recovery. The mechanisms behind these observations remain to be clarified.
CONCLUSION
[ "Humans", "Lung", "Neuropilin-1", "Pulmonary Alveoli", "Respiratory Distress Syndrome", "Vascular Endothelial Growth Factor Receptor-1", "Vascular Endothelial Growth Factor Receptor-2" ]
2698064
Introduction
Acute respiratory distress syndrome (ARDS) is the most extreme form of acute lung injury. It is characterized by noncardiogenic pulmonary edema, neutrophilic alveolitis, and the development of potentially reversible fibrosis, but its pathogenesis still remains incompletely explained [1]. Vascular endothelial growth factor (VEGF) is a potent angiogenic factor of critical importance in vascular development [2]. Its other characteristics as a potent permeability and mitogenic factor on vascular endothelium have led to investigating its possible role in ARDS [3-6], which continues to have an unacceptable morbidity and mortality of at least 35% despite improvements in management of sepsis and ventilatory support [7]. Observational data show plasma soluble VEGF levels rise and intrapulmonary levels fall in the early stages of lung injury with normalization of both during recovery [3,4,8]. Vascular endothelial growth factor protein is compartmentalized to high levels in normal human epithelial lining fluid, and human type 2 epithelial (ATII) cells express significant amounts of VEGF protein in vitro [9,10]. Vascular endothelial growth factor exerts its biological effect on vascular endothelium through specific receptors, VEGFR1 and VEGFR2. They have 7 immunoglobulin-like domains with specific functions, a single transmembrane region, and a consensus tyrosine kinase sequence interrupted by a kinase-insert domain [11]. Vascular endothelial growth factor also acts indirectly via the coreceptor neuropilin-1 (NRP-1), which augments VEGFR2 signaling activity but lacks tyrosine kinase activity itself and is therefore only able to act indirectly via effects on VEGFR2 activity [12,13]. Vascular endothelial growth factor receptor 2 is thought to be the main signaling receptor [14], and VEGFR1 has been speculated to function as a decoy receptor [15]. Both of these receptors were initially thought to be largely confined to the vascular bed (on endothelial cells), but studies in animal and developing human lung confirm expression in lung tissue on activated macrophages and respiratory epithelial cells [16-18]. This implies that VEGF can exert its biological effects in the alveolar compartment as well as the vascular bed and is the subject of ongoing study. As well as functionally regulating VEGF bioactivity, VEGF receptors are themselves subject to functional regulation by oxygen tension and VEGF itself, at least in the vascular bed. Chronic hypoxia up-regulates VEGFR1 and VEGFR2 expression in vivo [19]. Vascular endothelial growth factor receptor 1 has a hypoxia-inducible factor 1 consensus sequence in its promoter region, whereas VEGFR2 does not and is thought to be up-regulated by posttranscriptional paracrine mechanisms [20]. Vascular endothelial growth factor activation of VEGFR2 increases VEGFR2 gene expression and cellular levels, and VEGF can also up-regulate VEGFR1 expression in endothelial cells [21,22]. One explanation for the observed reduction in soluble intrapulmonary VEGF levels in early ARDS would be an increased expression of VEGF receptors facilitating an increased number of VEGF binding sites. Other possibilities (which are not mutually exclusive) include an alteration in alternate splicing or soluble VEGF inhibitors which have been investigated elsewhere [23]. We therefore hypothesized that VEGFR1, VEGFR2, and NRP-1 would be expressed in the adult human lung alveolar compartment as well as the vascular bed with dynamic temporal changes in expression in ARDS consistent with a role in lung repair after injury.
Methods
Specimens Archival normal and ARDS lung-tissue sections and paraffin blocks were obtained from Frenchay Pathology Department. The North Bristol NHS Trust Local Research Ethics Committee approved this study. Archival normal and ARDS lung-tissue sections and paraffin blocks were obtained from Frenchay Pathology Department. The North Bristol NHS Trust Local Research Ethics Committee approved this study. Immunohistochemistry Normal, early, and late ARDS lung-tissue sections were obtained from human subjects (n = 4 for each group). Normal lung tissue implied that there was no lung involvement in the cause of death and no ARDS. Acute respiratory distress syndrome lung tissue was subdivided into “early” (within 48 hours of onset) and “late” (after day 7). Paraffinized 4-μm sections (n = 5 for each subject) were dewaxed in serial xylene (BDH Laboratory Supplies, Poole, UK), dehydrated in absolute ethanol (BDH Limited Laboratory Supplies), and pressure cooked in 0.01 M trisodium citrate (BDH Laboratory Supplies) buffer (pH 6) to facilitate antigen retrieval. Saponin (0.1%; Sigma-Aldrich, Dorset, UK) in phosphate-buffered saline (Oxoid, Basingstoke, UK), pH 7.3, was used as a wash buffer and antibody diluent. Endogenous peroxidase was blocked with 3% hydrogen peroxide (BDH Laboratory Supplies) in methanol (BDH Laboratory Supplies). Sections were incubated in 2.5% horse blocking serum (Vectastain Universal Quick Kit; Vector Laboratories, Peterborough, UK) before avidin D and biotin blocking sera (Vector Laboratories). Rabbit polyclonal antibodies to VEGFR1, VEGFR2, and NRP-1 (Autogen Bioclear; UK Ltd, Wiltshire, UK) were used as primary antibodies. Isotypic rabbit immunoglobulin G (Vector Laboratories) at the same concentration was used as a negative control. A pan-specific biotinylated antibody, streptavidin-peroxidase complex with diaminobenzidine substrate (Vectastain Universal Quick Kit; Vector Laboratories) was added. Sections were counterstained in hematoxylin (BDH Laboratory Supplies) before serial washes in absolute ethanol and xylene before mounting with Distrene-80 Plasticizer Xylene (DPX) (BDH Laboratory Supplies). Image capture and quantitative densitometry were performed with Histometrix software (Kinetic Imaging Limited, Wirral, Merseyside, UK). Normal, early, and late ARDS lung-tissue sections were obtained from human subjects (n = 4 for each group). Normal lung tissue implied that there was no lung involvement in the cause of death and no ARDS. Acute respiratory distress syndrome lung tissue was subdivided into “early” (within 48 hours of onset) and “late” (after day 7). Paraffinized 4-μm sections (n = 5 for each subject) were dewaxed in serial xylene (BDH Laboratory Supplies, Poole, UK), dehydrated in absolute ethanol (BDH Limited Laboratory Supplies), and pressure cooked in 0.01 M trisodium citrate (BDH Laboratory Supplies) buffer (pH 6) to facilitate antigen retrieval. Saponin (0.1%; Sigma-Aldrich, Dorset, UK) in phosphate-buffered saline (Oxoid, Basingstoke, UK), pH 7.3, was used as a wash buffer and antibody diluent. Endogenous peroxidase was blocked with 3% hydrogen peroxide (BDH Laboratory Supplies) in methanol (BDH Laboratory Supplies). Sections were incubated in 2.5% horse blocking serum (Vectastain Universal Quick Kit; Vector Laboratories, Peterborough, UK) before avidin D and biotin blocking sera (Vector Laboratories). Rabbit polyclonal antibodies to VEGFR1, VEGFR2, and NRP-1 (Autogen Bioclear; UK Ltd, Wiltshire, UK) were used as primary antibodies. Isotypic rabbit immunoglobulin G (Vector Laboratories) at the same concentration was used as a negative control. A pan-specific biotinylated antibody, streptavidin-peroxidase complex with diaminobenzidine substrate (Vectastain Universal Quick Kit; Vector Laboratories) was added. Sections were counterstained in hematoxylin (BDH Laboratory Supplies) before serial washes in absolute ethanol and xylene before mounting with Distrene-80 Plasticizer Xylene (DPX) (BDH Laboratory Supplies). Image capture and quantitative densitometry were performed with Histometrix software (Kinetic Imaging Limited, Wirral, Merseyside, UK). Statistical analysis All statistical analyses were performed using GraphPad Prism version 4.0 software. Data in bar charts are plotted as mean and standard error. Quantitative immunostaining Histometrix pixel staining densities were normally distributed as assessed by the Ryan-Joiner test. Because of the necessity for multiple comparisons of the data, analysis of variance testing was followed by Bonferroni post hoc analysis. A P value less than .05 was considered significant. All statistical analyses were performed using GraphPad Prism version 4.0 software. Data in bar charts are plotted as mean and standard error. Quantitative immunostaining Histometrix pixel staining densities were normally distributed as assessed by the Ryan-Joiner test. Because of the necessity for multiple comparisons of the data, analysis of variance testing was followed by Bonferroni post hoc analysis. A P value less than .05 was considered significant.
Results
Immunohistochemistry Indirect immunohistochemistry revealed no evidence of nonspecific staining using isotypic negative control antibodies confirming that positive staining was significant (Fig. 1). In addition to expected vascular endothelial expression, VEGFR1, VEGFR2, and NRP-1 expression was noted on alveolar epithelium and macrophages (Figs. 2–4A–C). On direct visualization (before densitometry), differential immunostaining was noted. In normal lung tissue, VEGFR2 staining was most intense (Fig. 2A). In early ARDS, a relative loss of alveolar epithelial expression of VEGFR1, VEGFR2, and NRP-1 especially the latter was noted (Fig. 3A–C). In later ARDS, there was marked up-regulation of expression of VEGFR1, VEGFR2, and NRP-1, although of less magnitude with the latter (Fig. 4A–C). Indirect immunohistochemistry revealed no evidence of nonspecific staining using isotypic negative control antibodies confirming that positive staining was significant (Fig. 1). In addition to expected vascular endothelial expression, VEGFR1, VEGFR2, and NRP-1 expression was noted on alveolar epithelium and macrophages (Figs. 2–4A–C). On direct visualization (before densitometry), differential immunostaining was noted. In normal lung tissue, VEGFR2 staining was most intense (Fig. 2A). In early ARDS, a relative loss of alveolar epithelial expression of VEGFR1, VEGFR2, and NRP-1 especially the latter was noted (Fig. 3A–C). In later ARDS, there was marked up-regulation of expression of VEGFR1, VEGFR2, and NRP-1, although of less magnitude with the latter (Fig. 4A–C). Staining densitometry Histometrix densitometric analysis supported the visual observations noticed in immunostaining and is presented graphically in Fig. 5A–C. Differential time-dependent changes in VEGFR1, VEGFR2, and NRP-1 expression were noted. Vascular endothelial growth factor receptors 1 and 2 expression was significantly up-regulated in the later stages of ARDS (P < .001, Bonferroni) versus normal and early ARDS lung (Fig. 5A–B). In contrast to VEGFR1 and VEGFR2, NRP-1 expression was down-regulated in early ARDS lung (P < .05, Bonferroni) versus normal lung with significant up-regulation in later ARDS (P < .001, Bonferroni) versus early ARDS (Fig. 5C). Moreover, unlike the other receptors, later ARDS NRP-1 expression did not significantly differ from normal lung (Fig. 5C). Histometrix densitometric analysis supported the visual observations noticed in immunostaining and is presented graphically in Fig. 5A–C. Differential time-dependent changes in VEGFR1, VEGFR2, and NRP-1 expression were noted. Vascular endothelial growth factor receptors 1 and 2 expression was significantly up-regulated in the later stages of ARDS (P < .001, Bonferroni) versus normal and early ARDS lung (Fig. 5A–B). In contrast to VEGFR1 and VEGFR2, NRP-1 expression was down-regulated in early ARDS lung (P < .05, Bonferroni) versus normal lung with significant up-regulation in later ARDS (P < .001, Bonferroni) versus early ARDS (Fig. 5C). Moreover, unlike the other receptors, later ARDS NRP-1 expression did not significantly differ from normal lung (Fig. 5C).
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null
[ "Specimens", "Immunohistochemistry", "Statistical analysis", "Immunohistochemistry", "Staining densitometry" ]
[ "Archival normal and ARDS lung-tissue sections and paraffin blocks were obtained from Frenchay Pathology Department. The North Bristol NHS Trust Local Research Ethics Committee approved this study.", "Normal, early, and late ARDS lung-tissue sections were obtained from human subjects (n = 4 for each group). Normal lung tissue implied that there was no lung involvement in the cause of death and no ARDS. Acute respiratory distress syndrome lung tissue was subdivided into “early” (within 48 hours of onset) and “late” (after day 7). Paraffinized 4-μm sections (n = 5 for each subject) were dewaxed in serial xylene (BDH Laboratory Supplies, Poole, UK), dehydrated in absolute ethanol (BDH Limited Laboratory Supplies), and pressure cooked in 0.01 M trisodium citrate (BDH Laboratory Supplies) buffer (pH 6) to facilitate antigen retrieval. Saponin (0.1%; Sigma-Aldrich, Dorset, UK) in phosphate-buffered saline (Oxoid, Basingstoke, UK), pH 7.3, was used as a wash buffer and antibody diluent. Endogenous peroxidase was blocked with 3% hydrogen peroxide (BDH Laboratory Supplies) in methanol (BDH Laboratory Supplies).\nSections were incubated in 2.5% horse blocking serum (Vectastain Universal Quick Kit; Vector Laboratories, Peterborough, UK) before avidin D and biotin blocking sera (Vector Laboratories). Rabbit polyclonal antibodies to VEGFR1, VEGFR2, and NRP-1 (Autogen Bioclear; UK Ltd, Wiltshire, UK) were used as primary antibodies. Isotypic rabbit immunoglobulin G (Vector Laboratories) at the same concentration was used as a negative control. A pan-specific biotinylated antibody, streptavidin-peroxidase complex with diaminobenzidine substrate (Vectastain Universal Quick Kit; Vector Laboratories) was added. Sections were counterstained in hematoxylin (BDH Laboratory Supplies) before serial washes in absolute ethanol and xylene before mounting with Distrene-80 Plasticizer Xylene (DPX) (BDH Laboratory Supplies). Image capture and quantitative densitometry were performed with Histometrix software (Kinetic Imaging Limited, Wirral, Merseyside, UK).", "All statistical analyses were performed using GraphPad Prism version 4.0 software. Data in bar charts are plotted as mean and standard error. Quantitative immunostaining Histometrix pixel staining densities were normally distributed as assessed by the Ryan-Joiner test. Because of the necessity for multiple comparisons of the data, analysis of variance testing was followed by Bonferroni post hoc analysis. A P value less than .05 was considered significant.", "Indirect immunohistochemistry revealed no evidence of nonspecific staining using isotypic negative control antibodies confirming that positive staining was significant (Fig. 1). In addition to expected vascular endothelial expression, VEGFR1, VEGFR2, and NRP-1 expression was noted on alveolar epithelium and macrophages (Figs. 2–4A–C).\nOn direct visualization (before densitometry), differential immunostaining was noted. In normal lung tissue, VEGFR2 staining was most intense (Fig. 2A). In early ARDS, a relative loss of alveolar epithelial expression of VEGFR1, VEGFR2, and NRP-1 especially the latter was noted (Fig. 3A–C). In later ARDS, there was marked up-regulation of expression of VEGFR1, VEGFR2, and NRP-1, although of less magnitude with the latter (Fig. 4A–C).", "Histometrix densitometric analysis supported the visual observations noticed in immunostaining and is presented graphically in Fig. 5A–C. Differential time-dependent changes in VEGFR1, VEGFR2, and NRP-1 expression were noted. Vascular endothelial growth factor receptors 1 and 2 expression was significantly up-regulated in the later stages of ARDS (P < .001, Bonferroni) versus normal and early ARDS lung (Fig. 5A–B).\nIn contrast to VEGFR1 and VEGFR2, NRP-1 expression was down-regulated in early ARDS lung (P < .05, Bonferroni) versus normal lung with significant up-regulation in later ARDS (P < .001, Bonferroni) versus early ARDS (Fig. 5C). Moreover, unlike the other receptors, later ARDS NRP-1 expression did not significantly differ from normal lung (Fig. 5C)." ]
[ null, null, null, null, null ]
[ "Introduction", "Methods", "Specimens", "Immunohistochemistry", "Statistical analysis", "Results", "Immunohistochemistry", "Staining densitometry", "Discussion" ]
[ "Acute respiratory distress syndrome (ARDS) is the most extreme form of acute lung injury. It is characterized by noncardiogenic pulmonary edema, neutrophilic alveolitis, and the development of potentially reversible fibrosis, but its pathogenesis still remains incompletely explained [1]. Vascular endothelial growth factor (VEGF) is a potent angiogenic factor of critical importance in vascular development [2]. Its other characteristics as a potent permeability and mitogenic factor on vascular endothelium have led to investigating its possible role in ARDS [3-6], which continues to have an unacceptable morbidity and mortality of at least 35% despite improvements in management of sepsis and ventilatory support [7].\nObservational data show plasma soluble VEGF levels rise and intrapulmonary levels fall in the early stages of lung injury with normalization of both during recovery [3,4,8]. Vascular endothelial growth factor protein is compartmentalized to high levels in normal human epithelial lining fluid, and human type 2 epithelial (ATII) cells express significant amounts of VEGF protein in vitro [9,10].\nVascular endothelial growth factor exerts its biological effect on vascular endothelium through specific receptors, VEGFR1 and VEGFR2. They have 7 immunoglobulin-like domains with specific functions, a single transmembrane region, and a consensus tyrosine kinase sequence interrupted by a kinase-insert domain [11]. Vascular endothelial growth factor also acts indirectly via the coreceptor neuropilin-1 (NRP-1), which augments VEGFR2 signaling activity but lacks tyrosine kinase activity itself and is therefore only able to act indirectly via effects on VEGFR2 activity [12,13].\nVascular endothelial growth factor receptor 2 is thought to be the main signaling receptor [14], and VEGFR1 has been speculated to function as a decoy receptor [15]. Both of these receptors were initially thought to be largely confined to the vascular bed (on endothelial cells), but studies in animal and developing human lung confirm expression in lung tissue on activated macrophages and respiratory epithelial cells [16-18]. This implies that VEGF can exert its biological effects in the alveolar compartment as well as the vascular bed and is the subject of ongoing study.\nAs well as functionally regulating VEGF bioactivity, VEGF receptors are themselves subject to functional regulation by oxygen tension and VEGF itself, at least in the vascular bed. Chronic hypoxia up-regulates VEGFR1 and VEGFR2 expression in vivo [19]. Vascular endothelial growth factor receptor 1 has a hypoxia-inducible factor 1 consensus sequence in its promoter region, whereas VEGFR2 does not and is thought to be up-regulated by posttranscriptional paracrine mechanisms [20]. Vascular endothelial growth factor activation of VEGFR2 increases VEGFR2 gene expression and cellular levels, and VEGF can also up-regulate VEGFR1 expression in endothelial cells [21,22].\nOne explanation for the observed reduction in soluble intrapulmonary VEGF levels in early ARDS would be an increased expression of VEGF receptors facilitating an increased number of VEGF binding sites. Other possibilities (which are not mutually exclusive) include an alteration in alternate splicing or soluble VEGF inhibitors which have been investigated elsewhere [23]. We therefore hypothesized that VEGFR1, VEGFR2, and NRP-1 would be expressed in the adult human lung alveolar compartment as well as the vascular bed with dynamic temporal changes in expression in ARDS consistent with a role in lung repair after injury.", " Specimens Archival normal and ARDS lung-tissue sections and paraffin blocks were obtained from Frenchay Pathology Department. The North Bristol NHS Trust Local Research Ethics Committee approved this study.\nArchival normal and ARDS lung-tissue sections and paraffin blocks were obtained from Frenchay Pathology Department. The North Bristol NHS Trust Local Research Ethics Committee approved this study.\n Immunohistochemistry Normal, early, and late ARDS lung-tissue sections were obtained from human subjects (n = 4 for each group). Normal lung tissue implied that there was no lung involvement in the cause of death and no ARDS. Acute respiratory distress syndrome lung tissue was subdivided into “early” (within 48 hours of onset) and “late” (after day 7). Paraffinized 4-μm sections (n = 5 for each subject) were dewaxed in serial xylene (BDH Laboratory Supplies, Poole, UK), dehydrated in absolute ethanol (BDH Limited Laboratory Supplies), and pressure cooked in 0.01 M trisodium citrate (BDH Laboratory Supplies) buffer (pH 6) to facilitate antigen retrieval. Saponin (0.1%; Sigma-Aldrich, Dorset, UK) in phosphate-buffered saline (Oxoid, Basingstoke, UK), pH 7.3, was used as a wash buffer and antibody diluent. Endogenous peroxidase was blocked with 3% hydrogen peroxide (BDH Laboratory Supplies) in methanol (BDH Laboratory Supplies).\nSections were incubated in 2.5% horse blocking serum (Vectastain Universal Quick Kit; Vector Laboratories, Peterborough, UK) before avidin D and biotin blocking sera (Vector Laboratories). Rabbit polyclonal antibodies to VEGFR1, VEGFR2, and NRP-1 (Autogen Bioclear; UK Ltd, Wiltshire, UK) were used as primary antibodies. Isotypic rabbit immunoglobulin G (Vector Laboratories) at the same concentration was used as a negative control. A pan-specific biotinylated antibody, streptavidin-peroxidase complex with diaminobenzidine substrate (Vectastain Universal Quick Kit; Vector Laboratories) was added. Sections were counterstained in hematoxylin (BDH Laboratory Supplies) before serial washes in absolute ethanol and xylene before mounting with Distrene-80 Plasticizer Xylene (DPX) (BDH Laboratory Supplies). Image capture and quantitative densitometry were performed with Histometrix software (Kinetic Imaging Limited, Wirral, Merseyside, UK).\nNormal, early, and late ARDS lung-tissue sections were obtained from human subjects (n = 4 for each group). Normal lung tissue implied that there was no lung involvement in the cause of death and no ARDS. Acute respiratory distress syndrome lung tissue was subdivided into “early” (within 48 hours of onset) and “late” (after day 7). Paraffinized 4-μm sections (n = 5 for each subject) were dewaxed in serial xylene (BDH Laboratory Supplies, Poole, UK), dehydrated in absolute ethanol (BDH Limited Laboratory Supplies), and pressure cooked in 0.01 M trisodium citrate (BDH Laboratory Supplies) buffer (pH 6) to facilitate antigen retrieval. Saponin (0.1%; Sigma-Aldrich, Dorset, UK) in phosphate-buffered saline (Oxoid, Basingstoke, UK), pH 7.3, was used as a wash buffer and antibody diluent. Endogenous peroxidase was blocked with 3% hydrogen peroxide (BDH Laboratory Supplies) in methanol (BDH Laboratory Supplies).\nSections were incubated in 2.5% horse blocking serum (Vectastain Universal Quick Kit; Vector Laboratories, Peterborough, UK) before avidin D and biotin blocking sera (Vector Laboratories). Rabbit polyclonal antibodies to VEGFR1, VEGFR2, and NRP-1 (Autogen Bioclear; UK Ltd, Wiltshire, UK) were used as primary antibodies. Isotypic rabbit immunoglobulin G (Vector Laboratories) at the same concentration was used as a negative control. A pan-specific biotinylated antibody, streptavidin-peroxidase complex with diaminobenzidine substrate (Vectastain Universal Quick Kit; Vector Laboratories) was added. Sections were counterstained in hematoxylin (BDH Laboratory Supplies) before serial washes in absolute ethanol and xylene before mounting with Distrene-80 Plasticizer Xylene (DPX) (BDH Laboratory Supplies). Image capture and quantitative densitometry were performed with Histometrix software (Kinetic Imaging Limited, Wirral, Merseyside, UK).\n Statistical analysis All statistical analyses were performed using GraphPad Prism version 4.0 software. Data in bar charts are plotted as mean and standard error. Quantitative immunostaining Histometrix pixel staining densities were normally distributed as assessed by the Ryan-Joiner test. Because of the necessity for multiple comparisons of the data, analysis of variance testing was followed by Bonferroni post hoc analysis. A P value less than .05 was considered significant.\nAll statistical analyses were performed using GraphPad Prism version 4.0 software. Data in bar charts are plotted as mean and standard error. Quantitative immunostaining Histometrix pixel staining densities were normally distributed as assessed by the Ryan-Joiner test. Because of the necessity for multiple comparisons of the data, analysis of variance testing was followed by Bonferroni post hoc analysis. A P value less than .05 was considered significant.", "Archival normal and ARDS lung-tissue sections and paraffin blocks were obtained from Frenchay Pathology Department. The North Bristol NHS Trust Local Research Ethics Committee approved this study.", "Normal, early, and late ARDS lung-tissue sections were obtained from human subjects (n = 4 for each group). Normal lung tissue implied that there was no lung involvement in the cause of death and no ARDS. Acute respiratory distress syndrome lung tissue was subdivided into “early” (within 48 hours of onset) and “late” (after day 7). Paraffinized 4-μm sections (n = 5 for each subject) were dewaxed in serial xylene (BDH Laboratory Supplies, Poole, UK), dehydrated in absolute ethanol (BDH Limited Laboratory Supplies), and pressure cooked in 0.01 M trisodium citrate (BDH Laboratory Supplies) buffer (pH 6) to facilitate antigen retrieval. Saponin (0.1%; Sigma-Aldrich, Dorset, UK) in phosphate-buffered saline (Oxoid, Basingstoke, UK), pH 7.3, was used as a wash buffer and antibody diluent. Endogenous peroxidase was blocked with 3% hydrogen peroxide (BDH Laboratory Supplies) in methanol (BDH Laboratory Supplies).\nSections were incubated in 2.5% horse blocking serum (Vectastain Universal Quick Kit; Vector Laboratories, Peterborough, UK) before avidin D and biotin blocking sera (Vector Laboratories). Rabbit polyclonal antibodies to VEGFR1, VEGFR2, and NRP-1 (Autogen Bioclear; UK Ltd, Wiltshire, UK) were used as primary antibodies. Isotypic rabbit immunoglobulin G (Vector Laboratories) at the same concentration was used as a negative control. A pan-specific biotinylated antibody, streptavidin-peroxidase complex with diaminobenzidine substrate (Vectastain Universal Quick Kit; Vector Laboratories) was added. Sections were counterstained in hematoxylin (BDH Laboratory Supplies) before serial washes in absolute ethanol and xylene before mounting with Distrene-80 Plasticizer Xylene (DPX) (BDH Laboratory Supplies). Image capture and quantitative densitometry were performed with Histometrix software (Kinetic Imaging Limited, Wirral, Merseyside, UK).", "All statistical analyses were performed using GraphPad Prism version 4.0 software. Data in bar charts are plotted as mean and standard error. Quantitative immunostaining Histometrix pixel staining densities were normally distributed as assessed by the Ryan-Joiner test. Because of the necessity for multiple comparisons of the data, analysis of variance testing was followed by Bonferroni post hoc analysis. A P value less than .05 was considered significant.", " Immunohistochemistry Indirect immunohistochemistry revealed no evidence of nonspecific staining using isotypic negative control antibodies confirming that positive staining was significant (Fig. 1). In addition to expected vascular endothelial expression, VEGFR1, VEGFR2, and NRP-1 expression was noted on alveolar epithelium and macrophages (Figs. 2–4A–C).\nOn direct visualization (before densitometry), differential immunostaining was noted. In normal lung tissue, VEGFR2 staining was most intense (Fig. 2A). In early ARDS, a relative loss of alveolar epithelial expression of VEGFR1, VEGFR2, and NRP-1 especially the latter was noted (Fig. 3A–C). In later ARDS, there was marked up-regulation of expression of VEGFR1, VEGFR2, and NRP-1, although of less magnitude with the latter (Fig. 4A–C).\nIndirect immunohistochemistry revealed no evidence of nonspecific staining using isotypic negative control antibodies confirming that positive staining was significant (Fig. 1). In addition to expected vascular endothelial expression, VEGFR1, VEGFR2, and NRP-1 expression was noted on alveolar epithelium and macrophages (Figs. 2–4A–C).\nOn direct visualization (before densitometry), differential immunostaining was noted. In normal lung tissue, VEGFR2 staining was most intense (Fig. 2A). In early ARDS, a relative loss of alveolar epithelial expression of VEGFR1, VEGFR2, and NRP-1 especially the latter was noted (Fig. 3A–C). In later ARDS, there was marked up-regulation of expression of VEGFR1, VEGFR2, and NRP-1, although of less magnitude with the latter (Fig. 4A–C).\n Staining densitometry Histometrix densitometric analysis supported the visual observations noticed in immunostaining and is presented graphically in Fig. 5A–C. Differential time-dependent changes in VEGFR1, VEGFR2, and NRP-1 expression were noted. Vascular endothelial growth factor receptors 1 and 2 expression was significantly up-regulated in the later stages of ARDS (P < .001, Bonferroni) versus normal and early ARDS lung (Fig. 5A–B).\nIn contrast to VEGFR1 and VEGFR2, NRP-1 expression was down-regulated in early ARDS lung (P < .05, Bonferroni) versus normal lung with significant up-regulation in later ARDS (P < .001, Bonferroni) versus early ARDS (Fig. 5C). Moreover, unlike the other receptors, later ARDS NRP-1 expression did not significantly differ from normal lung (Fig. 5C).\nHistometrix densitometric analysis supported the visual observations noticed in immunostaining and is presented graphically in Fig. 5A–C. Differential time-dependent changes in VEGFR1, VEGFR2, and NRP-1 expression were noted. Vascular endothelial growth factor receptors 1 and 2 expression was significantly up-regulated in the later stages of ARDS (P < .001, Bonferroni) versus normal and early ARDS lung (Fig. 5A–B).\nIn contrast to VEGFR1 and VEGFR2, NRP-1 expression was down-regulated in early ARDS lung (P < .05, Bonferroni) versus normal lung with significant up-regulation in later ARDS (P < .001, Bonferroni) versus early ARDS (Fig. 5C). Moreover, unlike the other receptors, later ARDS NRP-1 expression did not significantly differ from normal lung (Fig. 5C).", "Indirect immunohistochemistry revealed no evidence of nonspecific staining using isotypic negative control antibodies confirming that positive staining was significant (Fig. 1). In addition to expected vascular endothelial expression, VEGFR1, VEGFR2, and NRP-1 expression was noted on alveolar epithelium and macrophages (Figs. 2–4A–C).\nOn direct visualization (before densitometry), differential immunostaining was noted. In normal lung tissue, VEGFR2 staining was most intense (Fig. 2A). In early ARDS, a relative loss of alveolar epithelial expression of VEGFR1, VEGFR2, and NRP-1 especially the latter was noted (Fig. 3A–C). In later ARDS, there was marked up-regulation of expression of VEGFR1, VEGFR2, and NRP-1, although of less magnitude with the latter (Fig. 4A–C).", "Histometrix densitometric analysis supported the visual observations noticed in immunostaining and is presented graphically in Fig. 5A–C. Differential time-dependent changes in VEGFR1, VEGFR2, and NRP-1 expression were noted. Vascular endothelial growth factor receptors 1 and 2 expression was significantly up-regulated in the later stages of ARDS (P < .001, Bonferroni) versus normal and early ARDS lung (Fig. 5A–B).\nIn contrast to VEGFR1 and VEGFR2, NRP-1 expression was down-regulated in early ARDS lung (P < .05, Bonferroni) versus normal lung with significant up-regulation in later ARDS (P < .001, Bonferroni) versus early ARDS (Fig. 5C). Moreover, unlike the other receptors, later ARDS NRP-1 expression did not significantly differ from normal lung (Fig. 5C).", "Vascular endothelial growth factor is compartmentalized to high levels in normal human epithelial lining fluid, 500 times higher than plasma levels [9]. In health, significant angiogenesis does not occur in the lung, implying that this VEGF reservoir has another function. Observational data suggest that VEGF may have a role in recovery from lung injury with temporal alterations in plasma and intrapulmonary VEGF levels correlating with injury and normalization in recovery [3,4].\nPotential explanations for this apparent reduction in intrapulmonary VEGF levels in early ARDS are manifold and not mutually exclusive. Vascular endothelial growth factor bioactivity is subject to functional regulation including by VEGF receptors and coreceptors. Vascular endothelial growth factor receptors are themselves subject to functional regulation by oxygen tension and VEGF itself. One important explanation for the VEGF reduction in early ARDS is by up-regulated specific VEGF receptor expression.\nWe therefore assessed VEGF-specific receptor (VEGFR1, VEGFR2) and coreceptor NRP-1 expression by immunohistochemistry in archival normal and ARDS lung tissue, anticipating that functional regulation might occur. We found VEGFR1, VEGFR2, and NRP-1 expression on alveolar macrophages and epithelium (consistent with data from animal and developing lung studies) [16-18] in addition to their known expression on vascular endothelium. We have demonstrated differential up-regulation of VEGFR1, VEGFR2, and NRP-1 expression in human ARDS. Neuropilin-1 was uniquely down-regulated in early ARDS with up-regulation in later ARDS. VEGFR1 and VEGFR2 were up-regulated in later ARDS. Our data are consistent with a reduced VEGFR2 (due to reduced NRP-1) in early ARDS with an up-regulated VEGFR2 signal (via up-regulation of VEGFR2 and NRP-1) in later ARDS.\nAs VEGFR2 is the main VEGF signaling receptor, these data are consistent with a role of VEGF in repair after lung injury. We speculate that the up-regulation of decoy receptor VEGFR1 in later ARDS may serve as a functional and spatial regulator of VEGF activity via VEGFR2. Although statistical comparison between the different receptor staining was not possible (as different antibody affinities would not have been identical), the staining intensities of both VEGFR2 (7450 pixels/unit area) and NRP-1 (5920 pixels/unit area) were noted to be higher than for VEGFR1 (3358 pixels/unit area) in normal lung, suggesting predominant VEGFR2 signaling in both the normal lung as well as in the injured (but recovering) lung. These observations are consistent with an autocrine VEGF role in the lung on alveolar epithelium in addition to its established paracrine action on endothelium secreted from the epithelium. Such an autocrine mechanism has been already described in epithelial cells in the kidney but not yet in the lung [24].\nGiven the lack of previous studies and the difficulty in obtaining human ARDS lung tissue, our study adds significant and novel data to current knowledge. We have looked at protein level changes with time in human ARDS and quantified our immunostaining with biologically plausible results.\nWe acknowledge the limitations of this study. Immunohistochemistry is primarily a localization technique, although use of Histometrix in our study facilitated quantification. Surgical lung biopsy from living ARDS patients would have been preferred, but this is seldom performed due to the rapidity of onset of ARDS, lack of thoracic surgeons on site, and consent issues. We circumvented this problem using necropsy lung tissue, although we cannot exclude selection bias for a more severe spectrum of disease. Because contemporaneous bronchoalveolar lavage fluid was unavailable from the ARDS subjects, we were unable to measure contemporaneous levels of soluble VEGF receptors which would be an important addition in future studies to complement our work.\nExisting human VEGF receptor regulation studies in ARDS conflict. In agreement with our immunohistochemical data, Lassus et al [25] demonstrated persistent expression of VEGFR1 on vascular endothelial, bronchial epithelial, and ATII cells in developing lungs with bronchopulmonary dysplasia throughout the fetal and neonatal period. No densitometry assessments were made. Perkins et al [23] detected the presence of significant quantities of intrapulmonary soluble VEGFR1 protein in early ARDS but did not study VEGFR1, VEGFR2, or NRP-1. Conversely, Tsokos et al [26] detected reduced VEGFR2 mRNA by real-time polymerase chain reaction in human necropsy lung tissue from septic patients. However, protein was not assessed, nor was VEGFR1 or NRP-1; the patients did not strictly conform to an ARDS phenotype and were assessed at varying time points (4-28 days).\nIn animals, data also conflict. The strongest evidence comes from intervention studies. Chronic VEGFR2 blockade in rats leads to alveolar apoptosis and emphysema [27], suggesting a role in recovery from lung injury and a possible survival function for VEGF via VEGFR2 on alveolar epithelium. In contrast to our data, many studies demonstrate a down-regulation in VEGF receptor expression after injury in the early stages. Ito et al [28] observed a reduction in VEGFR1 and VEGFR2 mRNA expression 24 to 72 hours after LPS-induced murine lung injury in both young and old mice. Time points were earlier and protein was not measured. Mura et al [29] noted a reduction in lung VEGFR1 (but not VEGFR2) expression in an ischemic/reperfusion-induced murine mode of lung injury. This study also confirmed VEGFR1 and VEGFR2 expression on both sides of the alveolar-capillary membrane but with discordant features: notably, a reduction in alveolar epithelial, alveolar macrophage, and interstitial VEGFR1 and a redistribution of VEGFR2 positive cells into the interstitium and ATII cells. Time points were again earlier (4 hours postinjury). Klekamp et al [18] noted a decrease in VEGFR1 and VEGFR2 mRNA expression at 48 hours after hyperoxic lung injury in rats. Protein was not assessed. Tambunting et al [30] detected reduced mRNA expression of VEGFR1, VEGFR2, and NRP-1, whereas Maniscalco et al [31] observed reduced VEGFR1 mRNA expression only (NRP-1 expression was not assessed in the latter) both in baboon models of bronchopulmonary dysplasia. Differences in methodology (ribonuclease protection assay vs quantitative real-time polymerase chain reaction) might account for these findings.\nConversely, other animal studies suggest a pathological role for VEGF in lung injury. Gurkan et al [32] noted an increase in lung VEGFR2 protein after an acid-induced murine lung injury model following high-tidal volume ventilation, attenuated by a protective ventilatory strategy. Time points were earlier (4 hours). Kazi et al [33] noted a similar up-regulation of lung VEGFR2 mRNA and protein expression for 24 hours in an ischemic model of murine lung injury. Time points were earlier, and VEGFR1 and NRP-1 were not studied.\nWhat are the implications of these findings? Existing data conflict due to differing species, time points after injury, phenotyping, methodologies, and the receptors studied. Our data provide a potential mechanism for further functional regulation of VEGF bioactivity with a reduced VEGFR2 signal in early injury and enhanced VEGFR2 signal in later ARDS, providing further support for an autocrine protective role for VEGF in the injured lung acting via VEGFR2. Interventional studies suggest that these observations are not epiphenomena.\nLocal VEGF delivery may be a potential new therapy for acute lung injury, but further studies are needed to clarify the mechanisms and functional consequences of these observations. These will include functional in vivo assessments of VEGF receptor expression, receptor signaling studies, and further VEGF receptor knockout studies in animal models of lung injury." ]
[ "intro", "methods", null, null, null, "results", null, null, "discussion" ]
[ "Acute respiratory distress syndrome", "Vascular endothelial growth factor, Neuropilin", "Receptors" ]
Introduction: Acute respiratory distress syndrome (ARDS) is the most extreme form of acute lung injury. It is characterized by noncardiogenic pulmonary edema, neutrophilic alveolitis, and the development of potentially reversible fibrosis, but its pathogenesis still remains incompletely explained [1]. Vascular endothelial growth factor (VEGF) is a potent angiogenic factor of critical importance in vascular development [2]. Its other characteristics as a potent permeability and mitogenic factor on vascular endothelium have led to investigating its possible role in ARDS [3-6], which continues to have an unacceptable morbidity and mortality of at least 35% despite improvements in management of sepsis and ventilatory support [7]. Observational data show plasma soluble VEGF levels rise and intrapulmonary levels fall in the early stages of lung injury with normalization of both during recovery [3,4,8]. Vascular endothelial growth factor protein is compartmentalized to high levels in normal human epithelial lining fluid, and human type 2 epithelial (ATII) cells express significant amounts of VEGF protein in vitro [9,10]. Vascular endothelial growth factor exerts its biological effect on vascular endothelium through specific receptors, VEGFR1 and VEGFR2. They have 7 immunoglobulin-like domains with specific functions, a single transmembrane region, and a consensus tyrosine kinase sequence interrupted by a kinase-insert domain [11]. Vascular endothelial growth factor also acts indirectly via the coreceptor neuropilin-1 (NRP-1), which augments VEGFR2 signaling activity but lacks tyrosine kinase activity itself and is therefore only able to act indirectly via effects on VEGFR2 activity [12,13]. Vascular endothelial growth factor receptor 2 is thought to be the main signaling receptor [14], and VEGFR1 has been speculated to function as a decoy receptor [15]. Both of these receptors were initially thought to be largely confined to the vascular bed (on endothelial cells), but studies in animal and developing human lung confirm expression in lung tissue on activated macrophages and respiratory epithelial cells [16-18]. This implies that VEGF can exert its biological effects in the alveolar compartment as well as the vascular bed and is the subject of ongoing study. As well as functionally regulating VEGF bioactivity, VEGF receptors are themselves subject to functional regulation by oxygen tension and VEGF itself, at least in the vascular bed. Chronic hypoxia up-regulates VEGFR1 and VEGFR2 expression in vivo [19]. Vascular endothelial growth factor receptor 1 has a hypoxia-inducible factor 1 consensus sequence in its promoter region, whereas VEGFR2 does not and is thought to be up-regulated by posttranscriptional paracrine mechanisms [20]. Vascular endothelial growth factor activation of VEGFR2 increases VEGFR2 gene expression and cellular levels, and VEGF can also up-regulate VEGFR1 expression in endothelial cells [21,22]. One explanation for the observed reduction in soluble intrapulmonary VEGF levels in early ARDS would be an increased expression of VEGF receptors facilitating an increased number of VEGF binding sites. Other possibilities (which are not mutually exclusive) include an alteration in alternate splicing or soluble VEGF inhibitors which have been investigated elsewhere [23]. We therefore hypothesized that VEGFR1, VEGFR2, and NRP-1 would be expressed in the adult human lung alveolar compartment as well as the vascular bed with dynamic temporal changes in expression in ARDS consistent with a role in lung repair after injury. Methods: Specimens Archival normal and ARDS lung-tissue sections and paraffin blocks were obtained from Frenchay Pathology Department. The North Bristol NHS Trust Local Research Ethics Committee approved this study. Archival normal and ARDS lung-tissue sections and paraffin blocks were obtained from Frenchay Pathology Department. The North Bristol NHS Trust Local Research Ethics Committee approved this study. Immunohistochemistry Normal, early, and late ARDS lung-tissue sections were obtained from human subjects (n = 4 for each group). Normal lung tissue implied that there was no lung involvement in the cause of death and no ARDS. Acute respiratory distress syndrome lung tissue was subdivided into “early” (within 48 hours of onset) and “late” (after day 7). Paraffinized 4-μm sections (n = 5 for each subject) were dewaxed in serial xylene (BDH Laboratory Supplies, Poole, UK), dehydrated in absolute ethanol (BDH Limited Laboratory Supplies), and pressure cooked in 0.01 M trisodium citrate (BDH Laboratory Supplies) buffer (pH 6) to facilitate antigen retrieval. Saponin (0.1%; Sigma-Aldrich, Dorset, UK) in phosphate-buffered saline (Oxoid, Basingstoke, UK), pH 7.3, was used as a wash buffer and antibody diluent. Endogenous peroxidase was blocked with 3% hydrogen peroxide (BDH Laboratory Supplies) in methanol (BDH Laboratory Supplies). Sections were incubated in 2.5% horse blocking serum (Vectastain Universal Quick Kit; Vector Laboratories, Peterborough, UK) before avidin D and biotin blocking sera (Vector Laboratories). Rabbit polyclonal antibodies to VEGFR1, VEGFR2, and NRP-1 (Autogen Bioclear; UK Ltd, Wiltshire, UK) were used as primary antibodies. Isotypic rabbit immunoglobulin G (Vector Laboratories) at the same concentration was used as a negative control. A pan-specific biotinylated antibody, streptavidin-peroxidase complex with diaminobenzidine substrate (Vectastain Universal Quick Kit; Vector Laboratories) was added. Sections were counterstained in hematoxylin (BDH Laboratory Supplies) before serial washes in absolute ethanol and xylene before mounting with Distrene-80 Plasticizer Xylene (DPX) (BDH Laboratory Supplies). Image capture and quantitative densitometry were performed with Histometrix software (Kinetic Imaging Limited, Wirral, Merseyside, UK). Normal, early, and late ARDS lung-tissue sections were obtained from human subjects (n = 4 for each group). Normal lung tissue implied that there was no lung involvement in the cause of death and no ARDS. Acute respiratory distress syndrome lung tissue was subdivided into “early” (within 48 hours of onset) and “late” (after day 7). Paraffinized 4-μm sections (n = 5 for each subject) were dewaxed in serial xylene (BDH Laboratory Supplies, Poole, UK), dehydrated in absolute ethanol (BDH Limited Laboratory Supplies), and pressure cooked in 0.01 M trisodium citrate (BDH Laboratory Supplies) buffer (pH 6) to facilitate antigen retrieval. Saponin (0.1%; Sigma-Aldrich, Dorset, UK) in phosphate-buffered saline (Oxoid, Basingstoke, UK), pH 7.3, was used as a wash buffer and antibody diluent. Endogenous peroxidase was blocked with 3% hydrogen peroxide (BDH Laboratory Supplies) in methanol (BDH Laboratory Supplies). Sections were incubated in 2.5% horse blocking serum (Vectastain Universal Quick Kit; Vector Laboratories, Peterborough, UK) before avidin D and biotin blocking sera (Vector Laboratories). Rabbit polyclonal antibodies to VEGFR1, VEGFR2, and NRP-1 (Autogen Bioclear; UK Ltd, Wiltshire, UK) were used as primary antibodies. Isotypic rabbit immunoglobulin G (Vector Laboratories) at the same concentration was used as a negative control. A pan-specific biotinylated antibody, streptavidin-peroxidase complex with diaminobenzidine substrate (Vectastain Universal Quick Kit; Vector Laboratories) was added. Sections were counterstained in hematoxylin (BDH Laboratory Supplies) before serial washes in absolute ethanol and xylene before mounting with Distrene-80 Plasticizer Xylene (DPX) (BDH Laboratory Supplies). Image capture and quantitative densitometry were performed with Histometrix software (Kinetic Imaging Limited, Wirral, Merseyside, UK). Statistical analysis All statistical analyses were performed using GraphPad Prism version 4.0 software. Data in bar charts are plotted as mean and standard error. Quantitative immunostaining Histometrix pixel staining densities were normally distributed as assessed by the Ryan-Joiner test. Because of the necessity for multiple comparisons of the data, analysis of variance testing was followed by Bonferroni post hoc analysis. A P value less than .05 was considered significant. All statistical analyses were performed using GraphPad Prism version 4.0 software. Data in bar charts are plotted as mean and standard error. Quantitative immunostaining Histometrix pixel staining densities were normally distributed as assessed by the Ryan-Joiner test. Because of the necessity for multiple comparisons of the data, analysis of variance testing was followed by Bonferroni post hoc analysis. A P value less than .05 was considered significant. Specimens: Archival normal and ARDS lung-tissue sections and paraffin blocks were obtained from Frenchay Pathology Department. The North Bristol NHS Trust Local Research Ethics Committee approved this study. Immunohistochemistry: Normal, early, and late ARDS lung-tissue sections were obtained from human subjects (n = 4 for each group). Normal lung tissue implied that there was no lung involvement in the cause of death and no ARDS. Acute respiratory distress syndrome lung tissue was subdivided into “early” (within 48 hours of onset) and “late” (after day 7). Paraffinized 4-μm sections (n = 5 for each subject) were dewaxed in serial xylene (BDH Laboratory Supplies, Poole, UK), dehydrated in absolute ethanol (BDH Limited Laboratory Supplies), and pressure cooked in 0.01 M trisodium citrate (BDH Laboratory Supplies) buffer (pH 6) to facilitate antigen retrieval. Saponin (0.1%; Sigma-Aldrich, Dorset, UK) in phosphate-buffered saline (Oxoid, Basingstoke, UK), pH 7.3, was used as a wash buffer and antibody diluent. Endogenous peroxidase was blocked with 3% hydrogen peroxide (BDH Laboratory Supplies) in methanol (BDH Laboratory Supplies). Sections were incubated in 2.5% horse blocking serum (Vectastain Universal Quick Kit; Vector Laboratories, Peterborough, UK) before avidin D and biotin blocking sera (Vector Laboratories). Rabbit polyclonal antibodies to VEGFR1, VEGFR2, and NRP-1 (Autogen Bioclear; UK Ltd, Wiltshire, UK) were used as primary antibodies. Isotypic rabbit immunoglobulin G (Vector Laboratories) at the same concentration was used as a negative control. A pan-specific biotinylated antibody, streptavidin-peroxidase complex with diaminobenzidine substrate (Vectastain Universal Quick Kit; Vector Laboratories) was added. Sections were counterstained in hematoxylin (BDH Laboratory Supplies) before serial washes in absolute ethanol and xylene before mounting with Distrene-80 Plasticizer Xylene (DPX) (BDH Laboratory Supplies). Image capture and quantitative densitometry were performed with Histometrix software (Kinetic Imaging Limited, Wirral, Merseyside, UK). Statistical analysis: All statistical analyses were performed using GraphPad Prism version 4.0 software. Data in bar charts are plotted as mean and standard error. Quantitative immunostaining Histometrix pixel staining densities were normally distributed as assessed by the Ryan-Joiner test. Because of the necessity for multiple comparisons of the data, analysis of variance testing was followed by Bonferroni post hoc analysis. A P value less than .05 was considered significant. Results: Immunohistochemistry Indirect immunohistochemistry revealed no evidence of nonspecific staining using isotypic negative control antibodies confirming that positive staining was significant (Fig. 1). In addition to expected vascular endothelial expression, VEGFR1, VEGFR2, and NRP-1 expression was noted on alveolar epithelium and macrophages (Figs. 2–4A–C). On direct visualization (before densitometry), differential immunostaining was noted. In normal lung tissue, VEGFR2 staining was most intense (Fig. 2A). In early ARDS, a relative loss of alveolar epithelial expression of VEGFR1, VEGFR2, and NRP-1 especially the latter was noted (Fig. 3A–C). In later ARDS, there was marked up-regulation of expression of VEGFR1, VEGFR2, and NRP-1, although of less magnitude with the latter (Fig. 4A–C). Indirect immunohistochemistry revealed no evidence of nonspecific staining using isotypic negative control antibodies confirming that positive staining was significant (Fig. 1). In addition to expected vascular endothelial expression, VEGFR1, VEGFR2, and NRP-1 expression was noted on alveolar epithelium and macrophages (Figs. 2–4A–C). On direct visualization (before densitometry), differential immunostaining was noted. In normal lung tissue, VEGFR2 staining was most intense (Fig. 2A). In early ARDS, a relative loss of alveolar epithelial expression of VEGFR1, VEGFR2, and NRP-1 especially the latter was noted (Fig. 3A–C). In later ARDS, there was marked up-regulation of expression of VEGFR1, VEGFR2, and NRP-1, although of less magnitude with the latter (Fig. 4A–C). Staining densitometry Histometrix densitometric analysis supported the visual observations noticed in immunostaining and is presented graphically in Fig. 5A–C. Differential time-dependent changes in VEGFR1, VEGFR2, and NRP-1 expression were noted. Vascular endothelial growth factor receptors 1 and 2 expression was significantly up-regulated in the later stages of ARDS (P < .001, Bonferroni) versus normal and early ARDS lung (Fig. 5A–B). In contrast to VEGFR1 and VEGFR2, NRP-1 expression was down-regulated in early ARDS lung (P < .05, Bonferroni) versus normal lung with significant up-regulation in later ARDS (P < .001, Bonferroni) versus early ARDS (Fig. 5C). Moreover, unlike the other receptors, later ARDS NRP-1 expression did not significantly differ from normal lung (Fig. 5C). Histometrix densitometric analysis supported the visual observations noticed in immunostaining and is presented graphically in Fig. 5A–C. Differential time-dependent changes in VEGFR1, VEGFR2, and NRP-1 expression were noted. Vascular endothelial growth factor receptors 1 and 2 expression was significantly up-regulated in the later stages of ARDS (P < .001, Bonferroni) versus normal and early ARDS lung (Fig. 5A–B). In contrast to VEGFR1 and VEGFR2, NRP-1 expression was down-regulated in early ARDS lung (P < .05, Bonferroni) versus normal lung with significant up-regulation in later ARDS (P < .001, Bonferroni) versus early ARDS (Fig. 5C). Moreover, unlike the other receptors, later ARDS NRP-1 expression did not significantly differ from normal lung (Fig. 5C). Immunohistochemistry: Indirect immunohistochemistry revealed no evidence of nonspecific staining using isotypic negative control antibodies confirming that positive staining was significant (Fig. 1). In addition to expected vascular endothelial expression, VEGFR1, VEGFR2, and NRP-1 expression was noted on alveolar epithelium and macrophages (Figs. 2–4A–C). On direct visualization (before densitometry), differential immunostaining was noted. In normal lung tissue, VEGFR2 staining was most intense (Fig. 2A). In early ARDS, a relative loss of alveolar epithelial expression of VEGFR1, VEGFR2, and NRP-1 especially the latter was noted (Fig. 3A–C). In later ARDS, there was marked up-regulation of expression of VEGFR1, VEGFR2, and NRP-1, although of less magnitude with the latter (Fig. 4A–C). Staining densitometry: Histometrix densitometric analysis supported the visual observations noticed in immunostaining and is presented graphically in Fig. 5A–C. Differential time-dependent changes in VEGFR1, VEGFR2, and NRP-1 expression were noted. Vascular endothelial growth factor receptors 1 and 2 expression was significantly up-regulated in the later stages of ARDS (P < .001, Bonferroni) versus normal and early ARDS lung (Fig. 5A–B). In contrast to VEGFR1 and VEGFR2, NRP-1 expression was down-regulated in early ARDS lung (P < .05, Bonferroni) versus normal lung with significant up-regulation in later ARDS (P < .001, Bonferroni) versus early ARDS (Fig. 5C). Moreover, unlike the other receptors, later ARDS NRP-1 expression did not significantly differ from normal lung (Fig. 5C). Discussion: Vascular endothelial growth factor is compartmentalized to high levels in normal human epithelial lining fluid, 500 times higher than plasma levels [9]. In health, significant angiogenesis does not occur in the lung, implying that this VEGF reservoir has another function. Observational data suggest that VEGF may have a role in recovery from lung injury with temporal alterations in plasma and intrapulmonary VEGF levels correlating with injury and normalization in recovery [3,4]. Potential explanations for this apparent reduction in intrapulmonary VEGF levels in early ARDS are manifold and not mutually exclusive. Vascular endothelial growth factor bioactivity is subject to functional regulation including by VEGF receptors and coreceptors. Vascular endothelial growth factor receptors are themselves subject to functional regulation by oxygen tension and VEGF itself. One important explanation for the VEGF reduction in early ARDS is by up-regulated specific VEGF receptor expression. We therefore assessed VEGF-specific receptor (VEGFR1, VEGFR2) and coreceptor NRP-1 expression by immunohistochemistry in archival normal and ARDS lung tissue, anticipating that functional regulation might occur. We found VEGFR1, VEGFR2, and NRP-1 expression on alveolar macrophages and epithelium (consistent with data from animal and developing lung studies) [16-18] in addition to their known expression on vascular endothelium. We have demonstrated differential up-regulation of VEGFR1, VEGFR2, and NRP-1 expression in human ARDS. Neuropilin-1 was uniquely down-regulated in early ARDS with up-regulation in later ARDS. VEGFR1 and VEGFR2 were up-regulated in later ARDS. Our data are consistent with a reduced VEGFR2 (due to reduced NRP-1) in early ARDS with an up-regulated VEGFR2 signal (via up-regulation of VEGFR2 and NRP-1) in later ARDS. As VEGFR2 is the main VEGF signaling receptor, these data are consistent with a role of VEGF in repair after lung injury. We speculate that the up-regulation of decoy receptor VEGFR1 in later ARDS may serve as a functional and spatial regulator of VEGF activity via VEGFR2. Although statistical comparison between the different receptor staining was not possible (as different antibody affinities would not have been identical), the staining intensities of both VEGFR2 (7450 pixels/unit area) and NRP-1 (5920 pixels/unit area) were noted to be higher than for VEGFR1 (3358 pixels/unit area) in normal lung, suggesting predominant VEGFR2 signaling in both the normal lung as well as in the injured (but recovering) lung. These observations are consistent with an autocrine VEGF role in the lung on alveolar epithelium in addition to its established paracrine action on endothelium secreted from the epithelium. Such an autocrine mechanism has been already described in epithelial cells in the kidney but not yet in the lung [24]. Given the lack of previous studies and the difficulty in obtaining human ARDS lung tissue, our study adds significant and novel data to current knowledge. We have looked at protein level changes with time in human ARDS and quantified our immunostaining with biologically plausible results. We acknowledge the limitations of this study. Immunohistochemistry is primarily a localization technique, although use of Histometrix in our study facilitated quantification. Surgical lung biopsy from living ARDS patients would have been preferred, but this is seldom performed due to the rapidity of onset of ARDS, lack of thoracic surgeons on site, and consent issues. We circumvented this problem using necropsy lung tissue, although we cannot exclude selection bias for a more severe spectrum of disease. Because contemporaneous bronchoalveolar lavage fluid was unavailable from the ARDS subjects, we were unable to measure contemporaneous levels of soluble VEGF receptors which would be an important addition in future studies to complement our work. Existing human VEGF receptor regulation studies in ARDS conflict. In agreement with our immunohistochemical data, Lassus et al [25] demonstrated persistent expression of VEGFR1 on vascular endothelial, bronchial epithelial, and ATII cells in developing lungs with bronchopulmonary dysplasia throughout the fetal and neonatal period. No densitometry assessments were made. Perkins et al [23] detected the presence of significant quantities of intrapulmonary soluble VEGFR1 protein in early ARDS but did not study VEGFR1, VEGFR2, or NRP-1. Conversely, Tsokos et al [26] detected reduced VEGFR2 mRNA by real-time polymerase chain reaction in human necropsy lung tissue from septic patients. However, protein was not assessed, nor was VEGFR1 or NRP-1; the patients did not strictly conform to an ARDS phenotype and were assessed at varying time points (4-28 days). In animals, data also conflict. The strongest evidence comes from intervention studies. Chronic VEGFR2 blockade in rats leads to alveolar apoptosis and emphysema [27], suggesting a role in recovery from lung injury and a possible survival function for VEGF via VEGFR2 on alveolar epithelium. In contrast to our data, many studies demonstrate a down-regulation in VEGF receptor expression after injury in the early stages. Ito et al [28] observed a reduction in VEGFR1 and VEGFR2 mRNA expression 24 to 72 hours after LPS-induced murine lung injury in both young and old mice. Time points were earlier and protein was not measured. Mura et al [29] noted a reduction in lung VEGFR1 (but not VEGFR2) expression in an ischemic/reperfusion-induced murine mode of lung injury. This study also confirmed VEGFR1 and VEGFR2 expression on both sides of the alveolar-capillary membrane but with discordant features: notably, a reduction in alveolar epithelial, alveolar macrophage, and interstitial VEGFR1 and a redistribution of VEGFR2 positive cells into the interstitium and ATII cells. Time points were again earlier (4 hours postinjury). Klekamp et al [18] noted a decrease in VEGFR1 and VEGFR2 mRNA expression at 48 hours after hyperoxic lung injury in rats. Protein was not assessed. Tambunting et al [30] detected reduced mRNA expression of VEGFR1, VEGFR2, and NRP-1, whereas Maniscalco et al [31] observed reduced VEGFR1 mRNA expression only (NRP-1 expression was not assessed in the latter) both in baboon models of bronchopulmonary dysplasia. Differences in methodology (ribonuclease protection assay vs quantitative real-time polymerase chain reaction) might account for these findings. Conversely, other animal studies suggest a pathological role for VEGF in lung injury. Gurkan et al [32] noted an increase in lung VEGFR2 protein after an acid-induced murine lung injury model following high-tidal volume ventilation, attenuated by a protective ventilatory strategy. Time points were earlier (4 hours). Kazi et al [33] noted a similar up-regulation of lung VEGFR2 mRNA and protein expression for 24 hours in an ischemic model of murine lung injury. Time points were earlier, and VEGFR1 and NRP-1 were not studied. What are the implications of these findings? Existing data conflict due to differing species, time points after injury, phenotyping, methodologies, and the receptors studied. Our data provide a potential mechanism for further functional regulation of VEGF bioactivity with a reduced VEGFR2 signal in early injury and enhanced VEGFR2 signal in later ARDS, providing further support for an autocrine protective role for VEGF in the injured lung acting via VEGFR2. Interventional studies suggest that these observations are not epiphenomena. Local VEGF delivery may be a potential new therapy for acute lung injury, but further studies are needed to clarify the mechanisms and functional consequences of these observations. These will include functional in vivo assessments of VEGF receptor expression, receptor signaling studies, and further VEGF receptor knockout studies in animal models of lung injury.
Background: Acute respiratory distress syndrome (ARDS) is characterized by the development of noncardiogenic pulmonary edema, which has been related to the bioactivity of vascular endothelial growth factor (VEGF). Vascular endothelial growth factor receptors and coreceptors regulate this bioactivity. We hypothesized VEGF receptors 1 and 2 (VEGFR1, VEGFR2) and coreceptor neuropilin-1 (NRP-1) would be expressed in human lung tissue with a significant change in expression in ARDS lung. Methods: Archival "normal" (no lung pathology and non-ARDS), "early" (within 48 hours), and "later" (after day 7) ARDS lung-tissue sections (n = 5) were immunostained for VEGFR1, VEGFR2, and NRP-1 from human subjects (n = 4). Staining was assessed densitometrically using Histometrix software. Results: VEGFR1, VEGFR2, and NRP-1 were expressed on both sides of the alveolar-capillary membrane in both normal and ARDS human lung tissue. In later ARDS, there was a significant up-regulation of VEGFR1 and VEGFR2 versus normal and early ARDS (P < .0001). Neuropilin-1 was down-regulated in early ARDS versus normal lung (P < .05), with normalization in later ARDS (P < .001). Conclusions: Differential temporal VEGFR1, VEGFR2, and NRP-1 up-regulation occurs in human ARDS, providing evidence of further functional regulation of VEGF bioactivity via VEGFR2 consistent with a protective role for VEGF in lung injury recovery. The mechanisms behind these observations remain to be clarified.
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[ 31, 358, 75, 151, 153 ]
9
[ "lung", "ards", "vegfr2", "expression", "vegfr1", "vegf", "nrp", "vegfr1 vegfr2", "early", "normal" ]
[ "regulation lung vegfr2", "lung vegfr2 protein", "role vegf lung", "vegf injured lung", "vegf lung injury" ]
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[CONTENT] Acute respiratory distress syndrome | Vascular endothelial growth factor, Neuropilin | Receptors [SUMMARY]
[CONTENT] Acute respiratory distress syndrome | Vascular endothelial growth factor, Neuropilin | Receptors [SUMMARY]
[CONTENT] Acute respiratory distress syndrome | Vascular endothelial growth factor, Neuropilin | Receptors [SUMMARY]
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[CONTENT] Acute respiratory distress syndrome | Vascular endothelial growth factor, Neuropilin | Receptors [SUMMARY]
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[CONTENT] Humans | Lung | Neuropilin-1 | Pulmonary Alveoli | Respiratory Distress Syndrome | Vascular Endothelial Growth Factor Receptor-1 | Vascular Endothelial Growth Factor Receptor-2 [SUMMARY]
[CONTENT] Humans | Lung | Neuropilin-1 | Pulmonary Alveoli | Respiratory Distress Syndrome | Vascular Endothelial Growth Factor Receptor-1 | Vascular Endothelial Growth Factor Receptor-2 [SUMMARY]
[CONTENT] Humans | Lung | Neuropilin-1 | Pulmonary Alveoli | Respiratory Distress Syndrome | Vascular Endothelial Growth Factor Receptor-1 | Vascular Endothelial Growth Factor Receptor-2 [SUMMARY]
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[CONTENT] Humans | Lung | Neuropilin-1 | Pulmonary Alveoli | Respiratory Distress Syndrome | Vascular Endothelial Growth Factor Receptor-1 | Vascular Endothelial Growth Factor Receptor-2 [SUMMARY]
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[CONTENT] regulation lung vegfr2 | lung vegfr2 protein | role vegf lung | vegf injured lung | vegf lung injury [SUMMARY]
[CONTENT] regulation lung vegfr2 | lung vegfr2 protein | role vegf lung | vegf injured lung | vegf lung injury [SUMMARY]
[CONTENT] regulation lung vegfr2 | lung vegfr2 protein | role vegf lung | vegf injured lung | vegf lung injury [SUMMARY]
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[CONTENT] regulation lung vegfr2 | lung vegfr2 protein | role vegf lung | vegf injured lung | vegf lung injury [SUMMARY]
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[CONTENT] lung | ards | vegfr2 | expression | vegfr1 | vegf | nrp | vegfr1 vegfr2 | early | normal [SUMMARY]
[CONTENT] lung | ards | vegfr2 | expression | vegfr1 | vegf | nrp | vegfr1 vegfr2 | early | normal [SUMMARY]
[CONTENT] lung | ards | vegfr2 | expression | vegfr1 | vegf | nrp | vegfr1 vegfr2 | early | normal [SUMMARY]
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[CONTENT] lung | ards | vegfr2 | expression | vegfr1 | vegf | nrp | vegfr1 vegfr2 | early | normal [SUMMARY]
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[CONTENT] vegf | vascular | factor | endothelial | vascular endothelial growth | growth factor | growth | vascular endothelial growth factor | endothelial growth | endothelial growth factor [SUMMARY]
[CONTENT] supplies | uk | laboratory | laboratory supplies | bdh | bdh laboratory | bdh laboratory supplies | sections | laboratories | vector laboratories [SUMMARY]
[CONTENT] fig | expression | ards | nrp | vegfr2 | nrp expression | noted | later | versus | bonferroni versus [SUMMARY]
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[CONTENT] expression | ards | fig | lung | vegfr2 | vegf | vegfr1 | nrp | supplies | uk [SUMMARY]
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[CONTENT] VEGF ||| ||| VEGF | 1 | VEGFR1 | VEGFR2 ||| NRP-1 [SUMMARY]
[CONTENT] 48 hours | day 7 | 5 | VEGFR1 | VEGFR2 | NRP-1 | 4 ||| Staining | Histometrix [SUMMARY]
[CONTENT] VEGFR1 | VEGFR2 | NRP-1 ||| VEGFR1 | VEGFR2 ||| [SUMMARY]
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[CONTENT] VEGF ||| ||| VEGF | 1 | VEGFR1 | VEGFR2 ||| NRP-1 ||| 48 hours | day 7 | 5 | VEGFR1 | VEGFR2 | NRP-1 | 4 ||| Staining | Histometrix ||| VEGFR1 | VEGFR2 | NRP-1 ||| VEGFR1 | VEGFR2 ||| ||| VEGFR1 | VEGFR2 | NRP-1 | VEGF | VEGFR2 | VEGF ||| [SUMMARY]
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Association of autoantibodies against the M2-muscarinic receptor with perinatal outcomes in women with severe preeclampsia.
24206621
The goal of this study was to test the hypothesis that autoantibodies against M2-muscarinic acetylcholine receptor (M2-AAB) are associated with severe preeclampsia and increased risk of adverse perinatal outcomes.
BACKGROUND
We conducted a case-control study comparing 60 women with severe preeclampsia to 60 women with normal pregnancy and 60 non-pregnant controls. A peptide, corresponding to amino acid sequences of the second extracellular loops of the M2 receptor, was synthesized as antigen to test for the presence of autoantibodies, using an enzyme-linked immunosorbent assay. The frequency and titer of M2-AAB were compared in the 3 groups. The risk of adverse perinatal outcomes among women with severe preeclampsia in the presence of M2-AAB was estimated.
METHODS
M2-AAB were positive in 31.7% (19/60) of patients with severe preeclampsia, in 10.0% (6/60) (p=0.006) of normal pregnant women and in 8.3% (5/60) (p=0.002) of non-pregnant controls. The presence of M2-AAB was associated with increased risk of adverse pregnancy complications (OR, 3.6; 95%CI, 1.0-12.6; p=0.048), fetal growth restriction (OR, 6.8; 95% CI, 2.0-23.0; p=0.002), fetal distress (OR, 6.7; 95% CI, 1.7-26.6; p=0.007), low Apgar score (OR, 5.3; 95% CI, 1.4-20.7; p=0.017), and perinatal death (OR, 4.3; 95% CI, 1.0-17.6; p=0.044) among women with severe preeclampsia.
RESULTS
This study demonstrates, for the first time, an increase in M2-AAB in patients with severe preeclampsia. Women with severe preeclampsia who are M2-AAB positive are at increased risk for neonatal mortality and morbidity. We posit that M2-AAB may be involved in the pathogenesis of severe preeclampsia.
CONCLUSIONS
[ "Adult", "Amino Acid Sequence", "Autoantibodies", "Case-Control Studies", "Enzyme-Linked Immunosorbent Assay", "Female", "Humans", "Molecular Sequence Data", "Pre-Eclampsia", "Pregnancy", "Pregnancy Outcome", "Receptor, Muscarinic M2", "Sensitivity and Specificity", "Severity of Illness Index" ]
3842686
Background
Preeclampsia is a pregnancy-specific syndrome characterized by hypertension and proteinuria. It occurs in 3-5% pregnancies and leads to high maternal and fetal morbidity and mortality [1]. Research has shown that preeclampsia is a multi-systemic syndrome with complex pathophysiological changes, such as endothelial dysfunction, inflammatory response, activation of the coagulation system and metabolic changes [2]. In serious cases, termination of pregnancy is the only available option to prevent further deterioration of the fetus and mother [3]. To date, the underlying mechanisms responsible for the pathogenesis of preeclampsia remain unknown. In recent years, evidence has accumulated suggesting that autoimmunity plays a role in the pathogenesis of preeclampsia. Numerous studies have shown that women with preeclampsia possess autoantibodies against angiotensin II type 1 receptors (AT1-AAB), which bind to and activate the AT1 receptor, thus provoking biological responses relevant to the pathogenesis of preeclampsia [4-8]. Recently, we found an obvious increase in the frequency of autoantibodies against adrenergic receptors, such as β1, β2, and α1, in patients with severe preeclampsia [9]. Previous studies have described the role of autoantibodies against M2-muscarinic receptors (M2-AAB) in several kinds of cardiovascular disease, such as Chagas disease, hypertensive heart disease, idiopathic dilated cardiomyopathy and atrial fibrillation [10-16]. Therefore, the aim of this study was to test the hypothesis M2-AAB are associated with severe preeclampsia and increased risk of adverse perinatal outcomes. A synthetic peptide, corresponding to the amino acid sequence of the second extracellular loop of the human M2 receptor, was used to test sera from patients with severe preeclampsia, normal pregnant women, and non-pregnant controls. We compared the frequency of M2-AAB among the three groups. The relationship between M2-AAB and perinatal mortality and morbidity, was also investigated.
Methods
Study subjects This was a case–control study. Patients that were admitted to Beijing Chao-Yang Hospital were managed by the obstetrics faculty of Capital Medical University. A total of 60 consecutive women diagnosed with severe preeclampsia based on the criteria set by the American College of Obstetricians and Gynecologists were recruited [17]. The criteria include increased blood pressure (≥ 160 mmHg systolic or ≥ 110 mmHg diastolic on two occasions taken at least 6 hours apart after 20 weeks of gestation) in women with previously normal blood pressure or proteinuria of ≥ 5 g over 24 h. We then randomly selected 60 age-matched, pregnant women and 60 age-matched non-pregnant women who were apparently healthy and had no hypertension or proteinuria. None of the control subjects had suffered preeclampsia previously. Exclusion criteria for all three groups included diabetes mellitus, vasculitis, renal disease and autoimmune disease. Blood samples were collected from the antecubital vein, upon recruitment into the study, using tubes containing EDTA. Samples were centrifuged at 2000 × g for 10 minutes, at 4°C, within 2 h of collection. Serum samples were stored at −80°C until analyzed. We were able to collect blood samples from ten of the sixty patients with severe preeclampsia at the end of puerperium, without a scheduled follow-up. Placenta was collected from study subjects and weighed. Clinical data from mothers and infants/neonates was also collected. The research protocol was conducted in accordance with the guidelines of the World Medical Association’s Declaration of Helsinki and was performed following approval from the Medical Ethics Committee of Capital Medical University, Beijing Chao-Yang Hospital. All women that were included in the study were in the prepartum or early intrapartum period of pregnancy and all provided written informed consent before inclusion in the study. In this study, low birth weight was defined as birth weight less than 2500 g. A gestational age of less than 37 weeks was considered to be preterm. Fetal growth restriction was operationally defined as sonographic estimated fetal weight below the 10th percentile for the gestational age. Evidence of fetal distress was considered to be a fetal heart rate of more than 160 bpm or less than 110 bpm, evaluated by electronic fetal monitoring, or the third degree of meconium-stained amniotic fluid. This was a case–control study. Patients that were admitted to Beijing Chao-Yang Hospital were managed by the obstetrics faculty of Capital Medical University. A total of 60 consecutive women diagnosed with severe preeclampsia based on the criteria set by the American College of Obstetricians and Gynecologists were recruited [17]. The criteria include increased blood pressure (≥ 160 mmHg systolic or ≥ 110 mmHg diastolic on two occasions taken at least 6 hours apart after 20 weeks of gestation) in women with previously normal blood pressure or proteinuria of ≥ 5 g over 24 h. We then randomly selected 60 age-matched, pregnant women and 60 age-matched non-pregnant women who were apparently healthy and had no hypertension or proteinuria. None of the control subjects had suffered preeclampsia previously. Exclusion criteria for all three groups included diabetes mellitus, vasculitis, renal disease and autoimmune disease. Blood samples were collected from the antecubital vein, upon recruitment into the study, using tubes containing EDTA. Samples were centrifuged at 2000 × g for 10 minutes, at 4°C, within 2 h of collection. Serum samples were stored at −80°C until analyzed. We were able to collect blood samples from ten of the sixty patients with severe preeclampsia at the end of puerperium, without a scheduled follow-up. Placenta was collected from study subjects and weighed. Clinical data from mothers and infants/neonates was also collected. The research protocol was conducted in accordance with the guidelines of the World Medical Association’s Declaration of Helsinki and was performed following approval from the Medical Ethics Committee of Capital Medical University, Beijing Chao-Yang Hospital. All women that were included in the study were in the prepartum or early intrapartum period of pregnancy and all provided written informed consent before inclusion in the study. In this study, low birth weight was defined as birth weight less than 2500 g. A gestational age of less than 37 weeks was considered to be preterm. Fetal growth restriction was operationally defined as sonographic estimated fetal weight below the 10th percentile for the gestational age. Evidence of fetal distress was considered to be a fetal heart rate of more than 160 bpm or less than 110 bpm, evaluated by electronic fetal monitoring, or the third degree of meconium-stained amniotic fluid. Materials Peptide corresponding to the amino acid sequence of the second extracellular loop of the human M2 receptor (residues 168 to 193, V-R-T-V-E-D-G-E-C-Y-I-Q-F-F-S-N-A-A-V-T-F-G-T-A-I-A) was synthesized by Genomed (Genomed Synthesis, Inc., San Francisco, CA, U.S.) [18-20]. The purity of the peptide, as determined by HPLC using a Vydac C-18 column, was 95.6%. The molecular weight of the peptide was analyzed by mass spectrometry. A Nunc microtiter plate was purchased from Maxisorb, Kastrup, Denmark. Tween-20, thimerosal, and ABTS were obtained from Sigma, St. Louis, MO, USA. Fetal bovine serum, biotinylated goat anti-human IgG (H + L), and horseradish peroxidase-streptavidin were purchased from Zhongshan Golden Bridge Biotech, Beijing, China. The microplate reader was purchased from Molecular Devices Corp, Menlo Park, CA. Peptide corresponding to the amino acid sequence of the second extracellular loop of the human M2 receptor (residues 168 to 193, V-R-T-V-E-D-G-E-C-Y-I-Q-F-F-S-N-A-A-V-T-F-G-T-A-I-A) was synthesized by Genomed (Genomed Synthesis, Inc., San Francisco, CA, U.S.) [18-20]. The purity of the peptide, as determined by HPLC using a Vydac C-18 column, was 95.6%. The molecular weight of the peptide was analyzed by mass spectrometry. A Nunc microtiter plate was purchased from Maxisorb, Kastrup, Denmark. Tween-20, thimerosal, and ABTS were obtained from Sigma, St. Louis, MO, USA. Fetal bovine serum, biotinylated goat anti-human IgG (H + L), and horseradish peroxidase-streptavidin were purchased from Zhongshan Golden Bridge Biotech, Beijing, China. The microplate reader was purchased from Molecular Devices Corp, Menlo Park, CA. ELISA protocol Samples were classified as positive or negative based on the presence or absence of M2-AAB. An ELISA protocol, previously described by Fu et al. [20], was used for screening. Briefly, a microtiter plate was coated with 50 μL of peptide (5 mg/L) in 100 mmol Na2CO3 solution (pH = 11) and stored overnight at 4°C. The wells were saturated with PMT (1 × PBS, 1 mL/L Tween-20, and 0.1 g/L thimerosal (PBS-T) supplemented with 100 mL/L fetal bovine serum) and incubated for 1 hour at 37°C. Then 50 μL of serum was diluted from 1:20 to 1:160, positive and negative controls were added and the wells were again incubated for 1 hour at 37 °C. After washing three times with PBS-T, affinity-purified biotinylated goat anti-human IgG (H + L) (1:500 dilution in PMT) was added and the wells were incubated for 1 hour at 37°C. After another round of washing, the bound biotinylated antibody was detected by incubating the microtiter plate for 1 hour at 37°C with horseradish peroxidase-streptavidin (1:500 dilution in PMT). After washing an additional three times with PBS, 2.5 mmol/L H2O2 was added followed by 2 mmol/L ABTS in citrate buffer solution. After 20 minutes, absorbance (A) was measured at 405 nm in a microplate reader. The sensitivity and specificity of the ELISA assay, for sample sera and positive and negative serum, were measured by the corresponding curves. Several recently detected samples were combined for the positive and negative sera. All samples were tested twice to verify the reliability of the result. The intra-assay and inter-assay coefficient of variation was less than 5 %. The detection range of absorbance was up to 2.5. Further dilution was done when the absorbance was over the upper limit. Samples were classified as positive or negative based on the presence or absence of M2-AAB. An ELISA protocol, previously described by Fu et al. [20], was used for screening. Briefly, a microtiter plate was coated with 50 μL of peptide (5 mg/L) in 100 mmol Na2CO3 solution (pH = 11) and stored overnight at 4°C. The wells were saturated with PMT (1 × PBS, 1 mL/L Tween-20, and 0.1 g/L thimerosal (PBS-T) supplemented with 100 mL/L fetal bovine serum) and incubated for 1 hour at 37°C. Then 50 μL of serum was diluted from 1:20 to 1:160, positive and negative controls were added and the wells were again incubated for 1 hour at 37 °C. After washing three times with PBS-T, affinity-purified biotinylated goat anti-human IgG (H + L) (1:500 dilution in PMT) was added and the wells were incubated for 1 hour at 37°C. After another round of washing, the bound biotinylated antibody was detected by incubating the microtiter plate for 1 hour at 37°C with horseradish peroxidase-streptavidin (1:500 dilution in PMT). After washing an additional three times with PBS, 2.5 mmol/L H2O2 was added followed by 2 mmol/L ABTS in citrate buffer solution. After 20 minutes, absorbance (A) was measured at 405 nm in a microplate reader. The sensitivity and specificity of the ELISA assay, for sample sera and positive and negative serum, were measured by the corresponding curves. Several recently detected samples were combined for the positive and negative sera. All samples were tested twice to verify the reliability of the result. The intra-assay and inter-assay coefficient of variation was less than 5 %. The detection range of absorbance was up to 2.5. Further dilution was done when the absorbance was over the upper limit. Data analysis Quantitative data are expressed as the mean ± SD. Positivity was defined as a ratio of (sample A - blank A)/(negative control A - blank A) ≥ 2.1. Antibody titer was reported as geometric mean. Continuous variables that were not normally distributed were log-transformed to obtain normality for testing, and geometric means were presented. One-way ANOVA test was used to determine significant differences between groups. The association between the presence of M2-AAB and categorical outcomes among women with severe preeclampsia was estimated by calculating unadjusted odds ratios. Adjusted analysis was not performed due to the small sample size. Data were analyzed using SPSS 16.0 (SPSS, Chicago, Illinois, USA). P < 0.05 was considered statistically significant. Quantitative data are expressed as the mean ± SD. Positivity was defined as a ratio of (sample A - blank A)/(negative control A - blank A) ≥ 2.1. Antibody titer was reported as geometric mean. Continuous variables that were not normally distributed were log-transformed to obtain normality for testing, and geometric means were presented. One-way ANOVA test was used to determine significant differences between groups. The association between the presence of M2-AAB and categorical outcomes among women with severe preeclampsia was estimated by calculating unadjusted odds ratios. Adjusted analysis was not performed due to the small sample size. Data were analyzed using SPSS 16.0 (SPSS, Chicago, Illinois, USA). P < 0.05 was considered statistically significant.
Results
A total of 180 women were included in the study. Of these, 60 were in the severe preeclampsia group, 60 were in the normal pregnant group and 60 were in the non-pregnant control group. Study subjects were enrolled between May 2011 and November 2012. Clinical characteristics of the women in the three study groups are shown in Table 1. Clinical characteristics of women from three groups in the present study Data are mean ± SD. Student’s unpaired two-tailed t-test was used to compare the non-pregnant to the normal pregnant group and the normal pregnant group to the severe preeclampsia group. Significant differences are indicated by * (p < 0.001). Nd: not determined; NA: not applicable. †: Urine protein of normal pregnant and non-pregnant women was within normal ranges and not routinely recorded. Maternal clinical characteristics Headache was the main complaint in the severe preeclampsia group. Blurred vision, epigastric pain, and oliguria were also common complaints. The maternal hospital stay was significantly longer for women in the severe preeclampsia group compared with those in the normal pregnant group (9.1 ± 5.4 days versus 4.2 ± 2.3 days, p < 0.001). The frequency of pregnancy complications, including oligohydramnios (6/60), placental abruption (5/60), placenta remnants (7/60), postpartum hemorrhage (4/60), retinal edema (2/60), preretinal hemorrhage (4/60) and hypertensive retinopathy (8/60), was significantly higher among those in the severe preeclampsia group than in the normal pregnant group (36/60 versus 0/60, p < 0.001). Headache was the main complaint in the severe preeclampsia group. Blurred vision, epigastric pain, and oliguria were also common complaints. The maternal hospital stay was significantly longer for women in the severe preeclampsia group compared with those in the normal pregnant group (9.1 ± 5.4 days versus 4.2 ± 2.3 days, p < 0.001). The frequency of pregnancy complications, including oligohydramnios (6/60), placental abruption (5/60), placenta remnants (7/60), postpartum hemorrhage (4/60), retinal edema (2/60), preretinal hemorrhage (4/60) and hypertensive retinopathy (8/60), was significantly higher among those in the severe preeclampsia group than in the normal pregnant group (36/60 versus 0/60, p < 0.001). Perinatal clinical characteristics Fetal ultrasound examination showed significant elevations in pulse index, resistance index and the S/D value of the umbilical artery. S/D value refers to the ratio of the peak systolic and diastolic velocity of the fetal umbilical artery and is indicative of the placenta-fetal blood flow resistance. A total of 41.7% (25/60) of fetuses in the severe preeclampsia group suffered from fetal growth restriction and 20.0% (12/60) suffered from fetal distress; both of which were significantly higher compared with fetuses in the normal pregnant group (p < 0.001 for both). The proportion of preterm births and low birth weight was significantly higher in the severe preeclampsia group compared with the normal pregnant group (76.7% versus 10.0% and 75.0% versus 6.7%, p < 0.001, respectively). The proportion of perinatal deaths was also higher in the severe preeclampsia group than in the normal pregnant group (16.7% versus 0%, p < 0.001) (Table 2). Perinatal complications *P < 0.05; †p < 0.001. Birth weight in the severe preeclampsia group was significantly lower than in the normal pregnant group (2142.1 ± 786.8 g versus 3279.1 ± 359.4 g, p < 0.001). Similarly, placental weight was also lower in the severe preeclampsia group compared with the normal pregnant group (517.9 ± 237.6 g versus 650.6 ± 120.6 g, p < 0.001). Neonatal Apgar score (appearance of skin color, pulse, grimace, activity, and respiration) was used to classify newborn infants [21]. The Apgar scores were significantly lower in infants from the severe preeclampsia group compared with infants from the normal pregnant group at one minute (7.1 ± 1.8 versus 9.5 ± 0.5, p < 0.001), five minutes (8.0 ± 1.3 versus 9.8 ± 0.2, p < 0.001), and ten minutes (8.3 ± 1.4 versus 10.0 ± 0, p < 0.001). Low Apgar score was defined, according to the Apgar score at one minute; severe was considered to be between 0 and 3 and mild was considered to be between 4 and 7. The incidence of low Apgar score was significantly higher in the severe preeclampsia group compared with the normal pregnant group (20.0% versus 0%, respectively; p < 0.001). Of the 60 neonates in the severe preeclampsia group, 16.7% (10/60) died, 21.7% (13/60) were transferred to the BaYi Children’s Hospital, 41.7% (25/60) were transferred to the pediatric department of our hospital, and 20.0% (12/60) required no further treatment. Fetal ultrasound examination showed significant elevations in pulse index, resistance index and the S/D value of the umbilical artery. S/D value refers to the ratio of the peak systolic and diastolic velocity of the fetal umbilical artery and is indicative of the placenta-fetal blood flow resistance. A total of 41.7% (25/60) of fetuses in the severe preeclampsia group suffered from fetal growth restriction and 20.0% (12/60) suffered from fetal distress; both of which were significantly higher compared with fetuses in the normal pregnant group (p < 0.001 for both). The proportion of preterm births and low birth weight was significantly higher in the severe preeclampsia group compared with the normal pregnant group (76.7% versus 10.0% and 75.0% versus 6.7%, p < 0.001, respectively). The proportion of perinatal deaths was also higher in the severe preeclampsia group than in the normal pregnant group (16.7% versus 0%, p < 0.001) (Table 2). Perinatal complications *P < 0.05; †p < 0.001. Birth weight in the severe preeclampsia group was significantly lower than in the normal pregnant group (2142.1 ± 786.8 g versus 3279.1 ± 359.4 g, p < 0.001). Similarly, placental weight was also lower in the severe preeclampsia group compared with the normal pregnant group (517.9 ± 237.6 g versus 650.6 ± 120.6 g, p < 0.001). Neonatal Apgar score (appearance of skin color, pulse, grimace, activity, and respiration) was used to classify newborn infants [21]. The Apgar scores were significantly lower in infants from the severe preeclampsia group compared with infants from the normal pregnant group at one minute (7.1 ± 1.8 versus 9.5 ± 0.5, p < 0.001), five minutes (8.0 ± 1.3 versus 9.8 ± 0.2, p < 0.001), and ten minutes (8.3 ± 1.4 versus 10.0 ± 0, p < 0.001). Low Apgar score was defined, according to the Apgar score at one minute; severe was considered to be between 0 and 3 and mild was considered to be between 4 and 7. The incidence of low Apgar score was significantly higher in the severe preeclampsia group compared with the normal pregnant group (20.0% versus 0%, respectively; p < 0.001). Of the 60 neonates in the severe preeclampsia group, 16.7% (10/60) died, 21.7% (13/60) were transferred to the BaYi Children’s Hospital, 41.7% (25/60) were transferred to the pediatric department of our hospital, and 20.0% (12/60) required no further treatment. The sensitivity and specificity of the ELISA assay Results of samples from most of the patients were stable until the titer serum was diluted to 1:160. Although the absorbance decreased when the sera were diluted, there was a significant difference between the positive and negative samples throughout. The sensitivity and specificity of the assay to the M2-AAB are shown in Figure 1. The curve for positive patient samples (3 randomly selected samples) corresponded well with the curve for the positive control sample. Results were similar for negative samples. There was a large difference in response between samples from patients that were positive for M2-AAB and those that were negative for M2-AAB. Based on these curves, we concluded that the ELISA had good sensitivity and specificity. The sensitivity and specificity of the ELISA assay. The curve of positive patients (3 randomly selected samples) was in good correspondence with the curve for the positive control blood sample, and the similar result was found in negative samples. There was a great difference in response between patients positive and those negative to the M2-AAB. Results of samples from most of the patients were stable until the titer serum was diluted to 1:160. Although the absorbance decreased when the sera were diluted, there was a significant difference between the positive and negative samples throughout. The sensitivity and specificity of the assay to the M2-AAB are shown in Figure 1. The curve for positive patient samples (3 randomly selected samples) corresponded well with the curve for the positive control sample. Results were similar for negative samples. There was a large difference in response between samples from patients that were positive for M2-AAB and those that were negative for M2-AAB. Based on these curves, we concluded that the ELISA had good sensitivity and specificity. The sensitivity and specificity of the ELISA assay. The curve of positive patients (3 randomly selected samples) was in good correspondence with the curve for the positive control blood sample, and the similar result was found in negative samples. There was a great difference in response between patients positive and those negative to the M2-AAB. ELISA result A total of 31.7% (19/60) of the severe preeclampsia group, 10.0% (6/60) (p = 0.006) of the normal pregnant group, and 8.3% (5/60) (p = 0.002) of non-pregnant controls were sera positive for M2-AAB. The geometric mean titer of the M2-AAB was significantly higher in the severe preeclampsia group (1:128) compared to the normal pregnant group (1:44) and to the non-pregnant controls (1:40) (p < 0.001 for both) (Figure 2). Frequencies and titers of autoantibodies among the three groups. Panel A: Frequencies of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. Panel B: Geometric mean titers of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. *p < 0.05: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls; ***p < 0.001: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls. M2-AAB: autoantibodies against M2-muscarinic receptors; SPE: severe preeclampsia; NP: normal pregnant; NC: non-pregnant control. A total of 31.7% (19/60) of the severe preeclampsia group, 10.0% (6/60) (p = 0.006) of the normal pregnant group, and 8.3% (5/60) (p = 0.002) of non-pregnant controls were sera positive for M2-AAB. The geometric mean titer of the M2-AAB was significantly higher in the severe preeclampsia group (1:128) compared to the normal pregnant group (1:44) and to the non-pregnant controls (1:40) (p < 0.001 for both) (Figure 2). Frequencies and titers of autoantibodies among the three groups. Panel A: Frequencies of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. Panel B: Geometric mean titers of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. *p < 0.05: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls; ***p < 0.001: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls. M2-AAB: autoantibodies against M2-muscarinic receptors; SPE: severe preeclampsia; NP: normal pregnant; NC: non-pregnant control. The association of M2-AAB and clinical outcomes Unadjusted odds ratios were used to estimate the association of M2-AAB with pregnancy complications, fetal distress, preterm birth, neonatal asphyxia, and perinatal death among women with severe preeclampsia. Positivity for M2-AAB was associated with pregnancy complications (OR, 3.6; 95%CI, 1.0-12.6; p = 0.048), fetal growth restriction (OR, 6.8; 95% CI, 2.0-23.0; p = 0.002), fetal distress (OR, 6.7; 95% CI, 1.7-26.6; p = 0.007), low Apgar score (OR, 5.3; 95% CI, 1.4-20.7; p = 0.017), and perinatal death (OR, 4.3; 95% CI, 1.0-17.6; p = 0.044). Unadjusted odds ratios were used to estimate the association of M2-AAB with pregnancy complications, fetal distress, preterm birth, neonatal asphyxia, and perinatal death among women with severe preeclampsia. Positivity for M2-AAB was associated with pregnancy complications (OR, 3.6; 95%CI, 1.0-12.6; p = 0.048), fetal growth restriction (OR, 6.8; 95% CI, 2.0-23.0; p = 0.002), fetal distress (OR, 6.7; 95% CI, 1.7-26.6; p = 0.007), low Apgar score (OR, 5.3; 95% CI, 1.4-20.7; p = 0.017), and perinatal death (OR, 4.3; 95% CI, 1.0-17.6; p = 0.044).
Conclusion
This study demonstrates the prevalence of M2-AAB in a cohort of women with severe preeclampsia. Risks of both maternal and perinatal complications are significantly increased when M2-AAB is present. M2-AAB may participate in the pathogenesis of severe preeclampsia and have clinical value for predicting complications.
[ "Background", "Study subjects", "Materials", "ELISA protocol", "Data analysis", "Maternal clinical characteristics", "Perinatal clinical characteristics", "The sensitivity and specificity of the ELISA assay", "ELISA result", "The association of M2-AAB and clinical outcomes", "Main findings", "Immune mechanisms in preeclampsia", "Autoantibodies and preeclampsia", "Limitations", "Competing interests", "Authors’ contributions" ]
[ "Preeclampsia is a pregnancy-specific syndrome characterized by hypertension and proteinuria. It occurs in 3-5% pregnancies and leads to high maternal and fetal morbidity and mortality [1]. Research has shown that preeclampsia is a multi-systemic syndrome with complex pathophysiological changes, such as endothelial dysfunction, inflammatory response, activation of the coagulation system and metabolic changes [2]. In serious cases, termination of pregnancy is the only available option to prevent further deterioration of the fetus and mother [3]. To date, the underlying mechanisms responsible for the pathogenesis of preeclampsia remain unknown.\nIn recent years, evidence has accumulated suggesting that autoimmunity plays a role in the pathogenesis of preeclampsia. Numerous studies have shown that women with preeclampsia possess autoantibodies against angiotensin II type 1 receptors (AT1-AAB), which bind to and activate the AT1 receptor, thus provoking biological responses relevant to the pathogenesis of preeclampsia [4-8]. Recently, we found an obvious increase in the frequency of autoantibodies against adrenergic receptors, such as β1, β2, and α1, in patients with severe preeclampsia [9]. Previous studies have described the role of autoantibodies against M2-muscarinic receptors (M2-AAB) in several kinds of cardiovascular disease, such as Chagas disease, hypertensive heart disease, idiopathic dilated cardiomyopathy and atrial fibrillation [10-16].\nTherefore, the aim of this study was to test the hypothesis M2-AAB are associated with severe preeclampsia and increased risk of adverse perinatal outcomes. A synthetic peptide, corresponding to the amino acid sequence of the second extracellular loop of the human M2 receptor, was used to test sera from patients with severe preeclampsia, normal pregnant women, and non-pregnant controls. We compared the frequency of M2-AAB among the three groups. The relationship between M2-AAB and perinatal mortality and morbidity, was also investigated.", "This was a case–control study. Patients that were admitted to Beijing Chao-Yang Hospital were managed by the obstetrics faculty of Capital Medical University. A total of 60 consecutive women diagnosed with severe preeclampsia based on the criteria set by the American College of Obstetricians and Gynecologists were recruited [17]. The criteria include increased blood pressure (≥ 160 mmHg systolic or ≥ 110 mmHg diastolic on two occasions taken at least 6 hours apart after 20 weeks of gestation) in women with previously normal blood pressure or proteinuria of ≥ 5 g over 24 h. We then randomly selected 60 age-matched, pregnant women and 60 age-matched non-pregnant women who were apparently healthy and had no hypertension or proteinuria. None of the control subjects had suffered preeclampsia previously. Exclusion criteria for all three groups included diabetes mellitus, vasculitis, renal disease and autoimmune disease. Blood samples were collected from the antecubital vein, upon recruitment into the study, using tubes containing EDTA. Samples were centrifuged at 2000 × g for 10 minutes, at 4°C, within 2 h of collection. Serum samples were stored at −80°C until analyzed. We were able to collect blood samples from ten of the sixty patients with severe preeclampsia at the end of puerperium, without a scheduled follow-up. Placenta was collected from study subjects and weighed. Clinical data from mothers and infants/neonates was also collected. The research protocol was conducted in accordance with the guidelines of the World Medical Association’s Declaration of Helsinki and was performed following approval from the Medical Ethics Committee of Capital Medical University, Beijing Chao-Yang Hospital. All women that were included in the study were in the prepartum or early intrapartum period of pregnancy and all provided written informed consent before inclusion in the study.\nIn this study, low birth weight was defined as birth weight less than 2500 g. A gestational age of less than 37 weeks was considered to be preterm. Fetal growth restriction was operationally defined as sonographic estimated fetal weight below the 10th percentile for the gestational age. Evidence of fetal distress was considered to be a fetal heart rate of more than 160 bpm or less than 110 bpm, evaluated by electronic fetal monitoring, or the third degree of meconium-stained amniotic fluid.", "Peptide corresponding to the amino acid sequence of the second extracellular loop of the human M2 receptor (residues 168 to 193, V-R-T-V-E-D-G-E-C-Y-I-Q-F-F-S-N-A-A-V-T-F-G-T-A-I-A) was synthesized by Genomed (Genomed Synthesis, Inc., San Francisco, CA, U.S.) [18-20]. The purity of the peptide, as determined by HPLC using a Vydac C-18 column, was 95.6%. The molecular weight of the peptide was analyzed by mass spectrometry. A Nunc microtiter plate was purchased from Maxisorb, Kastrup, Denmark. Tween-20, thimerosal, and ABTS were obtained from Sigma, St. Louis, MO, USA. Fetal bovine serum, biotinylated goat anti-human IgG (H + L), and horseradish peroxidase-streptavidin were purchased from Zhongshan Golden Bridge Biotech, Beijing, China. The microplate reader was purchased from Molecular Devices Corp, Menlo Park, CA.", "Samples were classified as positive or negative based on the presence or absence of M2-AAB. An ELISA protocol, previously described by Fu et al. [20], was used for screening. Briefly, a microtiter plate was coated with 50 μL of peptide (5 mg/L) in 100 mmol Na2CO3 solution (pH = 11) and stored overnight at 4°C. The wells were saturated with PMT (1 × PBS, 1 mL/L Tween-20, and 0.1 g/L thimerosal (PBS-T) supplemented with 100 mL/L fetal bovine serum) and incubated for 1 hour at 37°C. Then 50 μL of serum was diluted from 1:20 to 1:160, positive and negative controls were added and the wells were again incubated for 1 hour at 37 °C. After washing three times with PBS-T, affinity-purified biotinylated goat anti-human IgG (H + L) (1:500 dilution in PMT) was added and the wells were incubated for 1 hour at 37°C. After another round of washing, the bound biotinylated antibody was detected by incubating the microtiter plate for 1 hour at 37°C with horseradish peroxidase-streptavidin (1:500 dilution in PMT). After washing an additional three times with PBS, 2.5 mmol/L H2O2 was added followed by 2 mmol/L ABTS in citrate buffer solution. After 20 minutes, absorbance (A) was measured at 405 nm in a microplate reader. The sensitivity and specificity of the ELISA assay, for sample sera and positive and negative serum, were measured by the corresponding curves. Several recently detected samples were combined for the positive and negative sera. All samples were tested twice to verify the reliability of the result. The intra-assay and inter-assay coefficient of variation was less than 5 %. The detection range of absorbance was up to 2.5. Further dilution was done when the absorbance was over the upper limit.", "Quantitative data are expressed as the mean ± SD. Positivity was defined as a ratio of (sample A - blank A)/(negative control A - blank A) ≥ 2.1. Antibody titer was reported as geometric mean. Continuous variables that were not normally distributed were log-transformed to obtain normality for testing, and geometric means were presented. One-way ANOVA test was used to determine significant differences between groups. The association between the presence of M2-AAB and categorical outcomes among women with severe preeclampsia was estimated by calculating unadjusted odds ratios. Adjusted analysis was not performed due to the small sample size. Data were analyzed using SPSS 16.0 (SPSS, Chicago, Illinois, USA). P < 0.05 was considered statistically significant.", "Headache was the main complaint in the severe preeclampsia group. Blurred vision, epigastric pain, and oliguria were also common complaints.\nThe maternal hospital stay was significantly longer for women in the severe preeclampsia group compared with those in the normal pregnant group (9.1 ± 5.4 days versus 4.2 ± 2.3 days, p < 0.001). The frequency of pregnancy complications, including oligohydramnios (6/60), placental abruption (5/60), placenta remnants (7/60), postpartum hemorrhage (4/60), retinal edema (2/60), preretinal hemorrhage (4/60) and hypertensive retinopathy (8/60), was significantly higher among those in the severe preeclampsia group than in the normal pregnant group (36/60 versus 0/60, p < 0.001).", "Fetal ultrasound examination showed significant elevations in pulse index, resistance index and the S/D value of the umbilical artery. S/D value refers to the ratio of the peak systolic and diastolic velocity of the fetal umbilical artery and is indicative of the placenta-fetal blood flow resistance.\nA total of 41.7% (25/60) of fetuses in the severe preeclampsia group suffered from fetal growth restriction and 20.0% (12/60) suffered from fetal distress; both of which were significantly higher compared with fetuses in the normal pregnant group (p < 0.001 for both). The proportion of preterm births and low birth weight was significantly higher in the severe preeclampsia group compared with the normal pregnant group (76.7% versus 10.0% and 75.0% versus 6.7%, p < 0.001, respectively). The proportion of perinatal deaths was also higher in the severe preeclampsia group than in the normal pregnant group (16.7% versus 0%, p < 0.001) (Table 2).\nPerinatal complications\n*P < 0.05; †p < 0.001.\nBirth weight in the severe preeclampsia group was significantly lower than in the normal pregnant group (2142.1 ± 786.8 g versus 3279.1 ± 359.4 g, p < 0.001). Similarly, placental weight was also lower in the severe preeclampsia group compared with the normal pregnant group (517.9 ± 237.6 g versus 650.6 ± 120.6 g, p < 0.001).\nNeonatal Apgar score (appearance of skin color, pulse, grimace, activity, and respiration) was used to classify newborn infants [21]. The Apgar scores were significantly lower in infants from the severe preeclampsia group compared with infants from the normal pregnant group at one minute (7.1 ± 1.8 versus 9.5 ± 0.5, p < 0.001), five minutes (8.0 ± 1.3 versus 9.8 ± 0.2, p < 0.001), and ten minutes (8.3 ± 1.4 versus 10.0 ± 0, p < 0.001). Low Apgar score was defined, according to the Apgar score at one minute; severe was considered to be between 0 and 3 and mild was considered to be between 4 and 7. The incidence of low Apgar score was significantly higher in the severe preeclampsia group compared with the normal pregnant group (20.0% versus 0%, respectively; p < 0.001).\nOf the 60 neonates in the severe preeclampsia group, 16.7% (10/60) died, 21.7% (13/60) were transferred to the BaYi Children’s Hospital, 41.7% (25/60) were transferred to the pediatric department of our hospital, and 20.0% (12/60) required no further treatment.", "Results of samples from most of the patients were stable until the titer serum was diluted to 1:160. Although the absorbance decreased when the sera were diluted, there was a significant difference between the positive and negative samples throughout. The sensitivity and specificity of the assay to the M2-AAB are shown in Figure 1. The curve for positive patient samples (3 randomly selected samples) corresponded well with the curve for the positive control sample. Results were similar for negative samples. There was a large difference in response between samples from patients that were positive for M2-AAB and those that were negative for M2-AAB. Based on these curves, we concluded that the ELISA had good sensitivity and specificity.\nThe sensitivity and specificity of the ELISA assay. The curve of positive patients (3 randomly selected samples) was in good correspondence with the curve for the positive control blood sample, and the similar result was found in negative samples. There was a great difference in response between patients positive and those negative to the M2-AAB.", "A total of 31.7% (19/60) of the severe preeclampsia group, 10.0% (6/60) (p = 0.006) of the normal pregnant group, and 8.3% (5/60) (p = 0.002) of non-pregnant controls were sera positive for M2-AAB. The geometric mean titer of the M2-AAB was significantly higher in the severe preeclampsia group (1:128) compared to the normal pregnant group (1:44) and to the non-pregnant controls (1:40) (p < 0.001 for both) (Figure 2).\nFrequencies and titers of autoantibodies among the three groups. Panel A: Frequencies of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. Panel B: Geometric mean titers of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. *p < 0.05: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls; ***p < 0.001: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls. M2-AAB: autoantibodies against M2-muscarinic receptors; SPE: severe preeclampsia; NP: normal pregnant; NC: non-pregnant control.", "Unadjusted odds ratios were used to estimate the association of M2-AAB with pregnancy complications, fetal distress, preterm birth, neonatal asphyxia, and perinatal death among women with severe preeclampsia. Positivity for M2-AAB was associated with pregnancy complications (OR, 3.6; 95%CI, 1.0-12.6; p = 0.048), fetal growth restriction (OR, 6.8; 95% CI, 2.0-23.0; p = 0.002), fetal distress (OR, 6.7; 95% CI, 1.7-26.6; p = 0.007), low Apgar score (OR, 5.3; 95% CI, 1.4-20.7; p = 0.017), and perinatal death (OR, 4.3; 95% CI, 1.0-17.6; p = 0.044).", "In this study we demonstrated, for the first time, that positivity for M2-AAB is closely associated with severe preeclampsia. The frequencies and titers of M2-AAB were significantly higher in the severe preeclampsia group, when compared to normal pregnant women and non-pregnant healthy controls. The presence of M2-AAB in women with severe preeclampsia was associated with both adverse maternal and perinatal clinical outcomes, including pregnancy complications, fetal distress, fetal growth restriction, low Apgar score and perinatal death.", "The pathogenesis of preeclampsia remains obscure, but is likely multifactorial and involves abnormal placentation, reduced placental perfusion, endothelial cell dysfunction, and systemic vasospasm [22]. An immune mechanism has long been postulated as playing a role in the pathogenesis of preeclampsia. Immune maladaptation may impair invasion of spiral arteries by endovascular cytotrophoblast cells [23]. Studies have suggested that repeated exposure to sperm from a particular male partner prior to pregnancy promotes immune tolerance and reduces the risk of defective trophoblast invasion [24]. Autoantibodies, such as anticardiolipin and anti-β2-glycoprotein-1 antibody, have been detected in preeclampsia patients [25]. Since the first report was published that described the presence of AT1-AAB in preeclampsia patients [4], researchers have gained a greater understanding of the pathogenic mechanisms underlying preeclampsia, which implicate the immune system. Recently we found an obvious increase in the frequency of autoantibodies against adrenergic receptors, such as β1, β2, and α1, in patients with severe preeclampsia with obscure mechanisms [9].", "While our results need to be confirmed by larger studies, there are biologically plausible mechanisms by which M2-AAB may lead to severe preeclampsia. The M2 receptor is primarily expressed in the heart (in human and other mammalian species), and its activation results in negative chronotropic and inotropic effects by inhibiting adenylyl cyclase, decreasing intracellular cAMP, and reducing L-type Ca2+ currents. Previous studies from our group and others have demonstrated that M2-AAB display “agonistic activity” against their target receptors resulting in myocardial injury and cardiac dysfunction.\nStudies have shown that the risk of long-term sequelae, such as chronic hypertension, ischemic heart disease, stroke, and venous thromboembolism are significantly increased in women with preeclampsia [26,27]. In this study, we were able to collect blood samples from ten of the sixty patients with severe preeclampsia at the end of puerperium, without a scheduled follow-up. Three of the ten samples were positive for M2-AAB at titers similar to the levels at the time of recruitment. This is similar to what has been observed for autoantibodies against adrenergic receptors [9]. We infer that the presence of autoantibodies might be correlated to a high risk for cardiovascular sequelae, however this hypothesis needs further exploration.\nFrequencies and titers of M2-AAB were significantly higher in the severe preeclampsia group than in the normal pregnant women and non-pregnant control groups. Therefore, we hypothesize that there may be a relationship between the presence of M2-AAB and the development of severe preeclampsia. Alternatively, it is plausible that severe preeclampsia triggers the production of M2-AAB. Further studies are needed to clarify the association between M2-AAB and the development of severe preeclampsia.", "There are limitations that should be considered when interpreting our results. First, this case–control study, like all case–control studies, there is always that possibility of selection bias. We included two groups of controls who were age-matched to the cases and were randomly selected from the sample population. This would minimize selection bias. Second, our analyses were unadjusted for potential confounders. While this is unlikely, it is possible that the associations observe could be the result of an unknown confounder. Third, while the association between M2-AAB and severe preeclampsia is biologically plausible, we are careful to point out that association is not necessarily causality. Further studies will be needed to elucidate a causal role of M2-AAB in severe preeclampsia. However, the association between M2-AAB and adverse perinatal outcomes among women with severe preeclampsia is suggestive of a causal role. Fourth, as we didn’t include a group of mild preeclampsia patients, the relation between severity of preeclampsia and the antibody titer was unknown. Besides, maybe gestational age affects the antibody titer more than maternal age does. We collect blood samples of patients that were admitted to Beijing Chao-Yang Hospital during prepartum period and the gestational age was significant increased in the normal pregnant women. Finally, only serum M2-AAB was detected. Further studies that examine the biological activity of M2-AAB, as well as M2 receptors in the placenta and umbilical vessels, are needed.", "The authors declare that they have no competing interests.", "YFL, GLM, ZYZ and YY carried out the case, blood sample and clinical data collection. GLM and YDW carried out the immunoassay. GLM and GBM performed the analysis and interpretation of data. GLM and YTY were involved in drafting part of the manuscript. LZ contributed the whole study and participated in the design and coordination of this project as well as manuscript writing. All authors reviewed and approved the final manuscript." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Study subjects", "Materials", "ELISA protocol", "Data analysis", "Results", "Maternal clinical characteristics", "Perinatal clinical characteristics", "The sensitivity and specificity of the ELISA assay", "ELISA result", "The association of M2-AAB and clinical outcomes", "Discussion", "Main findings", "Immune mechanisms in preeclampsia", "Autoantibodies and preeclampsia", "Limitations", "Conclusion", "Competing interests", "Authors’ contributions" ]
[ "Preeclampsia is a pregnancy-specific syndrome characterized by hypertension and proteinuria. It occurs in 3-5% pregnancies and leads to high maternal and fetal morbidity and mortality [1]. Research has shown that preeclampsia is a multi-systemic syndrome with complex pathophysiological changes, such as endothelial dysfunction, inflammatory response, activation of the coagulation system and metabolic changes [2]. In serious cases, termination of pregnancy is the only available option to prevent further deterioration of the fetus and mother [3]. To date, the underlying mechanisms responsible for the pathogenesis of preeclampsia remain unknown.\nIn recent years, evidence has accumulated suggesting that autoimmunity plays a role in the pathogenesis of preeclampsia. Numerous studies have shown that women with preeclampsia possess autoantibodies against angiotensin II type 1 receptors (AT1-AAB), which bind to and activate the AT1 receptor, thus provoking biological responses relevant to the pathogenesis of preeclampsia [4-8]. Recently, we found an obvious increase in the frequency of autoantibodies against adrenergic receptors, such as β1, β2, and α1, in patients with severe preeclampsia [9]. Previous studies have described the role of autoantibodies against M2-muscarinic receptors (M2-AAB) in several kinds of cardiovascular disease, such as Chagas disease, hypertensive heart disease, idiopathic dilated cardiomyopathy and atrial fibrillation [10-16].\nTherefore, the aim of this study was to test the hypothesis M2-AAB are associated with severe preeclampsia and increased risk of adverse perinatal outcomes. A synthetic peptide, corresponding to the amino acid sequence of the second extracellular loop of the human M2 receptor, was used to test sera from patients with severe preeclampsia, normal pregnant women, and non-pregnant controls. We compared the frequency of M2-AAB among the three groups. The relationship between M2-AAB and perinatal mortality and morbidity, was also investigated.", " Study subjects This was a case–control study. Patients that were admitted to Beijing Chao-Yang Hospital were managed by the obstetrics faculty of Capital Medical University. A total of 60 consecutive women diagnosed with severe preeclampsia based on the criteria set by the American College of Obstetricians and Gynecologists were recruited [17]. The criteria include increased blood pressure (≥ 160 mmHg systolic or ≥ 110 mmHg diastolic on two occasions taken at least 6 hours apart after 20 weeks of gestation) in women with previously normal blood pressure or proteinuria of ≥ 5 g over 24 h. We then randomly selected 60 age-matched, pregnant women and 60 age-matched non-pregnant women who were apparently healthy and had no hypertension or proteinuria. None of the control subjects had suffered preeclampsia previously. Exclusion criteria for all three groups included diabetes mellitus, vasculitis, renal disease and autoimmune disease. Blood samples were collected from the antecubital vein, upon recruitment into the study, using tubes containing EDTA. Samples were centrifuged at 2000 × g for 10 minutes, at 4°C, within 2 h of collection. Serum samples were stored at −80°C until analyzed. We were able to collect blood samples from ten of the sixty patients with severe preeclampsia at the end of puerperium, without a scheduled follow-up. Placenta was collected from study subjects and weighed. Clinical data from mothers and infants/neonates was also collected. The research protocol was conducted in accordance with the guidelines of the World Medical Association’s Declaration of Helsinki and was performed following approval from the Medical Ethics Committee of Capital Medical University, Beijing Chao-Yang Hospital. All women that were included in the study were in the prepartum or early intrapartum period of pregnancy and all provided written informed consent before inclusion in the study.\nIn this study, low birth weight was defined as birth weight less than 2500 g. A gestational age of less than 37 weeks was considered to be preterm. Fetal growth restriction was operationally defined as sonographic estimated fetal weight below the 10th percentile for the gestational age. Evidence of fetal distress was considered to be a fetal heart rate of more than 160 bpm or less than 110 bpm, evaluated by electronic fetal monitoring, or the third degree of meconium-stained amniotic fluid.\nThis was a case–control study. Patients that were admitted to Beijing Chao-Yang Hospital were managed by the obstetrics faculty of Capital Medical University. A total of 60 consecutive women diagnosed with severe preeclampsia based on the criteria set by the American College of Obstetricians and Gynecologists were recruited [17]. The criteria include increased blood pressure (≥ 160 mmHg systolic or ≥ 110 mmHg diastolic on two occasions taken at least 6 hours apart after 20 weeks of gestation) in women with previously normal blood pressure or proteinuria of ≥ 5 g over 24 h. We then randomly selected 60 age-matched, pregnant women and 60 age-matched non-pregnant women who were apparently healthy and had no hypertension or proteinuria. None of the control subjects had suffered preeclampsia previously. Exclusion criteria for all three groups included diabetes mellitus, vasculitis, renal disease and autoimmune disease. Blood samples were collected from the antecubital vein, upon recruitment into the study, using tubes containing EDTA. Samples were centrifuged at 2000 × g for 10 minutes, at 4°C, within 2 h of collection. Serum samples were stored at −80°C until analyzed. We were able to collect blood samples from ten of the sixty patients with severe preeclampsia at the end of puerperium, without a scheduled follow-up. Placenta was collected from study subjects and weighed. Clinical data from mothers and infants/neonates was also collected. The research protocol was conducted in accordance with the guidelines of the World Medical Association’s Declaration of Helsinki and was performed following approval from the Medical Ethics Committee of Capital Medical University, Beijing Chao-Yang Hospital. All women that were included in the study were in the prepartum or early intrapartum period of pregnancy and all provided written informed consent before inclusion in the study.\nIn this study, low birth weight was defined as birth weight less than 2500 g. A gestational age of less than 37 weeks was considered to be preterm. Fetal growth restriction was operationally defined as sonographic estimated fetal weight below the 10th percentile for the gestational age. Evidence of fetal distress was considered to be a fetal heart rate of more than 160 bpm or less than 110 bpm, evaluated by electronic fetal monitoring, or the third degree of meconium-stained amniotic fluid.\n Materials Peptide corresponding to the amino acid sequence of the second extracellular loop of the human M2 receptor (residues 168 to 193, V-R-T-V-E-D-G-E-C-Y-I-Q-F-F-S-N-A-A-V-T-F-G-T-A-I-A) was synthesized by Genomed (Genomed Synthesis, Inc., San Francisco, CA, U.S.) [18-20]. The purity of the peptide, as determined by HPLC using a Vydac C-18 column, was 95.6%. The molecular weight of the peptide was analyzed by mass spectrometry. A Nunc microtiter plate was purchased from Maxisorb, Kastrup, Denmark. Tween-20, thimerosal, and ABTS were obtained from Sigma, St. Louis, MO, USA. Fetal bovine serum, biotinylated goat anti-human IgG (H + L), and horseradish peroxidase-streptavidin were purchased from Zhongshan Golden Bridge Biotech, Beijing, China. The microplate reader was purchased from Molecular Devices Corp, Menlo Park, CA.\nPeptide corresponding to the amino acid sequence of the second extracellular loop of the human M2 receptor (residues 168 to 193, V-R-T-V-E-D-G-E-C-Y-I-Q-F-F-S-N-A-A-V-T-F-G-T-A-I-A) was synthesized by Genomed (Genomed Synthesis, Inc., San Francisco, CA, U.S.) [18-20]. The purity of the peptide, as determined by HPLC using a Vydac C-18 column, was 95.6%. The molecular weight of the peptide was analyzed by mass spectrometry. A Nunc microtiter plate was purchased from Maxisorb, Kastrup, Denmark. Tween-20, thimerosal, and ABTS were obtained from Sigma, St. Louis, MO, USA. Fetal bovine serum, biotinylated goat anti-human IgG (H + L), and horseradish peroxidase-streptavidin were purchased from Zhongshan Golden Bridge Biotech, Beijing, China. The microplate reader was purchased from Molecular Devices Corp, Menlo Park, CA.\n ELISA protocol Samples were classified as positive or negative based on the presence or absence of M2-AAB. An ELISA protocol, previously described by Fu et al. [20], was used for screening. Briefly, a microtiter plate was coated with 50 μL of peptide (5 mg/L) in 100 mmol Na2CO3 solution (pH = 11) and stored overnight at 4°C. The wells were saturated with PMT (1 × PBS, 1 mL/L Tween-20, and 0.1 g/L thimerosal (PBS-T) supplemented with 100 mL/L fetal bovine serum) and incubated for 1 hour at 37°C. Then 50 μL of serum was diluted from 1:20 to 1:160, positive and negative controls were added and the wells were again incubated for 1 hour at 37 °C. After washing three times with PBS-T, affinity-purified biotinylated goat anti-human IgG (H + L) (1:500 dilution in PMT) was added and the wells were incubated for 1 hour at 37°C. After another round of washing, the bound biotinylated antibody was detected by incubating the microtiter plate for 1 hour at 37°C with horseradish peroxidase-streptavidin (1:500 dilution in PMT). After washing an additional three times with PBS, 2.5 mmol/L H2O2 was added followed by 2 mmol/L ABTS in citrate buffer solution. After 20 minutes, absorbance (A) was measured at 405 nm in a microplate reader. The sensitivity and specificity of the ELISA assay, for sample sera and positive and negative serum, were measured by the corresponding curves. Several recently detected samples were combined for the positive and negative sera. All samples were tested twice to verify the reliability of the result. The intra-assay and inter-assay coefficient of variation was less than 5 %. The detection range of absorbance was up to 2.5. Further dilution was done when the absorbance was over the upper limit.\nSamples were classified as positive or negative based on the presence or absence of M2-AAB. An ELISA protocol, previously described by Fu et al. [20], was used for screening. Briefly, a microtiter plate was coated with 50 μL of peptide (5 mg/L) in 100 mmol Na2CO3 solution (pH = 11) and stored overnight at 4°C. The wells were saturated with PMT (1 × PBS, 1 mL/L Tween-20, and 0.1 g/L thimerosal (PBS-T) supplemented with 100 mL/L fetal bovine serum) and incubated for 1 hour at 37°C. Then 50 μL of serum was diluted from 1:20 to 1:160, positive and negative controls were added and the wells were again incubated for 1 hour at 37 °C. After washing three times with PBS-T, affinity-purified biotinylated goat anti-human IgG (H + L) (1:500 dilution in PMT) was added and the wells were incubated for 1 hour at 37°C. After another round of washing, the bound biotinylated antibody was detected by incubating the microtiter plate for 1 hour at 37°C with horseradish peroxidase-streptavidin (1:500 dilution in PMT). After washing an additional three times with PBS, 2.5 mmol/L H2O2 was added followed by 2 mmol/L ABTS in citrate buffer solution. After 20 minutes, absorbance (A) was measured at 405 nm in a microplate reader. The sensitivity and specificity of the ELISA assay, for sample sera and positive and negative serum, were measured by the corresponding curves. Several recently detected samples were combined for the positive and negative sera. All samples were tested twice to verify the reliability of the result. The intra-assay and inter-assay coefficient of variation was less than 5 %. The detection range of absorbance was up to 2.5. Further dilution was done when the absorbance was over the upper limit.\n Data analysis Quantitative data are expressed as the mean ± SD. Positivity was defined as a ratio of (sample A - blank A)/(negative control A - blank A) ≥ 2.1. Antibody titer was reported as geometric mean. Continuous variables that were not normally distributed were log-transformed to obtain normality for testing, and geometric means were presented. One-way ANOVA test was used to determine significant differences between groups. The association between the presence of M2-AAB and categorical outcomes among women with severe preeclampsia was estimated by calculating unadjusted odds ratios. Adjusted analysis was not performed due to the small sample size. Data were analyzed using SPSS 16.0 (SPSS, Chicago, Illinois, USA). P < 0.05 was considered statistically significant.\nQuantitative data are expressed as the mean ± SD. Positivity was defined as a ratio of (sample A - blank A)/(negative control A - blank A) ≥ 2.1. Antibody titer was reported as geometric mean. Continuous variables that were not normally distributed were log-transformed to obtain normality for testing, and geometric means were presented. One-way ANOVA test was used to determine significant differences between groups. The association between the presence of M2-AAB and categorical outcomes among women with severe preeclampsia was estimated by calculating unadjusted odds ratios. Adjusted analysis was not performed due to the small sample size. Data were analyzed using SPSS 16.0 (SPSS, Chicago, Illinois, USA). P < 0.05 was considered statistically significant.", "This was a case–control study. Patients that were admitted to Beijing Chao-Yang Hospital were managed by the obstetrics faculty of Capital Medical University. A total of 60 consecutive women diagnosed with severe preeclampsia based on the criteria set by the American College of Obstetricians and Gynecologists were recruited [17]. The criteria include increased blood pressure (≥ 160 mmHg systolic or ≥ 110 mmHg diastolic on two occasions taken at least 6 hours apart after 20 weeks of gestation) in women with previously normal blood pressure or proteinuria of ≥ 5 g over 24 h. We then randomly selected 60 age-matched, pregnant women and 60 age-matched non-pregnant women who were apparently healthy and had no hypertension or proteinuria. None of the control subjects had suffered preeclampsia previously. Exclusion criteria for all three groups included diabetes mellitus, vasculitis, renal disease and autoimmune disease. Blood samples were collected from the antecubital vein, upon recruitment into the study, using tubes containing EDTA. Samples were centrifuged at 2000 × g for 10 minutes, at 4°C, within 2 h of collection. Serum samples were stored at −80°C until analyzed. We were able to collect blood samples from ten of the sixty patients with severe preeclampsia at the end of puerperium, without a scheduled follow-up. Placenta was collected from study subjects and weighed. Clinical data from mothers and infants/neonates was also collected. The research protocol was conducted in accordance with the guidelines of the World Medical Association’s Declaration of Helsinki and was performed following approval from the Medical Ethics Committee of Capital Medical University, Beijing Chao-Yang Hospital. All women that were included in the study were in the prepartum or early intrapartum period of pregnancy and all provided written informed consent before inclusion in the study.\nIn this study, low birth weight was defined as birth weight less than 2500 g. A gestational age of less than 37 weeks was considered to be preterm. Fetal growth restriction was operationally defined as sonographic estimated fetal weight below the 10th percentile for the gestational age. Evidence of fetal distress was considered to be a fetal heart rate of more than 160 bpm or less than 110 bpm, evaluated by electronic fetal monitoring, or the third degree of meconium-stained amniotic fluid.", "Peptide corresponding to the amino acid sequence of the second extracellular loop of the human M2 receptor (residues 168 to 193, V-R-T-V-E-D-G-E-C-Y-I-Q-F-F-S-N-A-A-V-T-F-G-T-A-I-A) was synthesized by Genomed (Genomed Synthesis, Inc., San Francisco, CA, U.S.) [18-20]. The purity of the peptide, as determined by HPLC using a Vydac C-18 column, was 95.6%. The molecular weight of the peptide was analyzed by mass spectrometry. A Nunc microtiter plate was purchased from Maxisorb, Kastrup, Denmark. Tween-20, thimerosal, and ABTS were obtained from Sigma, St. Louis, MO, USA. Fetal bovine serum, biotinylated goat anti-human IgG (H + L), and horseradish peroxidase-streptavidin were purchased from Zhongshan Golden Bridge Biotech, Beijing, China. The microplate reader was purchased from Molecular Devices Corp, Menlo Park, CA.", "Samples were classified as positive or negative based on the presence or absence of M2-AAB. An ELISA protocol, previously described by Fu et al. [20], was used for screening. Briefly, a microtiter plate was coated with 50 μL of peptide (5 mg/L) in 100 mmol Na2CO3 solution (pH = 11) and stored overnight at 4°C. The wells were saturated with PMT (1 × PBS, 1 mL/L Tween-20, and 0.1 g/L thimerosal (PBS-T) supplemented with 100 mL/L fetal bovine serum) and incubated for 1 hour at 37°C. Then 50 μL of serum was diluted from 1:20 to 1:160, positive and negative controls were added and the wells were again incubated for 1 hour at 37 °C. After washing three times with PBS-T, affinity-purified biotinylated goat anti-human IgG (H + L) (1:500 dilution in PMT) was added and the wells were incubated for 1 hour at 37°C. After another round of washing, the bound biotinylated antibody was detected by incubating the microtiter plate for 1 hour at 37°C with horseradish peroxidase-streptavidin (1:500 dilution in PMT). After washing an additional three times with PBS, 2.5 mmol/L H2O2 was added followed by 2 mmol/L ABTS in citrate buffer solution. After 20 minutes, absorbance (A) was measured at 405 nm in a microplate reader. The sensitivity and specificity of the ELISA assay, for sample sera and positive and negative serum, were measured by the corresponding curves. Several recently detected samples were combined for the positive and negative sera. All samples were tested twice to verify the reliability of the result. The intra-assay and inter-assay coefficient of variation was less than 5 %. The detection range of absorbance was up to 2.5. Further dilution was done when the absorbance was over the upper limit.", "Quantitative data are expressed as the mean ± SD. Positivity was defined as a ratio of (sample A - blank A)/(negative control A - blank A) ≥ 2.1. Antibody titer was reported as geometric mean. Continuous variables that were not normally distributed were log-transformed to obtain normality for testing, and geometric means were presented. One-way ANOVA test was used to determine significant differences between groups. The association between the presence of M2-AAB and categorical outcomes among women with severe preeclampsia was estimated by calculating unadjusted odds ratios. Adjusted analysis was not performed due to the small sample size. Data were analyzed using SPSS 16.0 (SPSS, Chicago, Illinois, USA). P < 0.05 was considered statistically significant.", "A total of 180 women were included in the study. Of these, 60 were in the severe preeclampsia group, 60 were in the normal pregnant group and 60 were in the non-pregnant control group. Study subjects were enrolled between May 2011 and November 2012. Clinical characteristics of the women in the three study groups are shown in Table 1.\nClinical characteristics of women from three groups in the present study\nData are mean ± SD. Student’s unpaired two-tailed t-test was used to compare the non-pregnant to the normal pregnant group and the normal pregnant group to the severe preeclampsia group. Significant differences are indicated by * (p < 0.001).\nNd: not determined; NA: not applicable.\n†: Urine protein of normal pregnant and non-pregnant women was within normal ranges and not routinely recorded.\n Maternal clinical characteristics Headache was the main complaint in the severe preeclampsia group. Blurred vision, epigastric pain, and oliguria were also common complaints.\nThe maternal hospital stay was significantly longer for women in the severe preeclampsia group compared with those in the normal pregnant group (9.1 ± 5.4 days versus 4.2 ± 2.3 days, p < 0.001). The frequency of pregnancy complications, including oligohydramnios (6/60), placental abruption (5/60), placenta remnants (7/60), postpartum hemorrhage (4/60), retinal edema (2/60), preretinal hemorrhage (4/60) and hypertensive retinopathy (8/60), was significantly higher among those in the severe preeclampsia group than in the normal pregnant group (36/60 versus 0/60, p < 0.001).\nHeadache was the main complaint in the severe preeclampsia group. Blurred vision, epigastric pain, and oliguria were also common complaints.\nThe maternal hospital stay was significantly longer for women in the severe preeclampsia group compared with those in the normal pregnant group (9.1 ± 5.4 days versus 4.2 ± 2.3 days, p < 0.001). The frequency of pregnancy complications, including oligohydramnios (6/60), placental abruption (5/60), placenta remnants (7/60), postpartum hemorrhage (4/60), retinal edema (2/60), preretinal hemorrhage (4/60) and hypertensive retinopathy (8/60), was significantly higher among those in the severe preeclampsia group than in the normal pregnant group (36/60 versus 0/60, p < 0.001).\n Perinatal clinical characteristics Fetal ultrasound examination showed significant elevations in pulse index, resistance index and the S/D value of the umbilical artery. S/D value refers to the ratio of the peak systolic and diastolic velocity of the fetal umbilical artery and is indicative of the placenta-fetal blood flow resistance.\nA total of 41.7% (25/60) of fetuses in the severe preeclampsia group suffered from fetal growth restriction and 20.0% (12/60) suffered from fetal distress; both of which were significantly higher compared with fetuses in the normal pregnant group (p < 0.001 for both). The proportion of preterm births and low birth weight was significantly higher in the severe preeclampsia group compared with the normal pregnant group (76.7% versus 10.0% and 75.0% versus 6.7%, p < 0.001, respectively). The proportion of perinatal deaths was also higher in the severe preeclampsia group than in the normal pregnant group (16.7% versus 0%, p < 0.001) (Table 2).\nPerinatal complications\n*P < 0.05; †p < 0.001.\nBirth weight in the severe preeclampsia group was significantly lower than in the normal pregnant group (2142.1 ± 786.8 g versus 3279.1 ± 359.4 g, p < 0.001). Similarly, placental weight was also lower in the severe preeclampsia group compared with the normal pregnant group (517.9 ± 237.6 g versus 650.6 ± 120.6 g, p < 0.001).\nNeonatal Apgar score (appearance of skin color, pulse, grimace, activity, and respiration) was used to classify newborn infants [21]. The Apgar scores were significantly lower in infants from the severe preeclampsia group compared with infants from the normal pregnant group at one minute (7.1 ± 1.8 versus 9.5 ± 0.5, p < 0.001), five minutes (8.0 ± 1.3 versus 9.8 ± 0.2, p < 0.001), and ten minutes (8.3 ± 1.4 versus 10.0 ± 0, p < 0.001). Low Apgar score was defined, according to the Apgar score at one minute; severe was considered to be between 0 and 3 and mild was considered to be between 4 and 7. The incidence of low Apgar score was significantly higher in the severe preeclampsia group compared with the normal pregnant group (20.0% versus 0%, respectively; p < 0.001).\nOf the 60 neonates in the severe preeclampsia group, 16.7% (10/60) died, 21.7% (13/60) were transferred to the BaYi Children’s Hospital, 41.7% (25/60) were transferred to the pediatric department of our hospital, and 20.0% (12/60) required no further treatment.\nFetal ultrasound examination showed significant elevations in pulse index, resistance index and the S/D value of the umbilical artery. S/D value refers to the ratio of the peak systolic and diastolic velocity of the fetal umbilical artery and is indicative of the placenta-fetal blood flow resistance.\nA total of 41.7% (25/60) of fetuses in the severe preeclampsia group suffered from fetal growth restriction and 20.0% (12/60) suffered from fetal distress; both of which were significantly higher compared with fetuses in the normal pregnant group (p < 0.001 for both). The proportion of preterm births and low birth weight was significantly higher in the severe preeclampsia group compared with the normal pregnant group (76.7% versus 10.0% and 75.0% versus 6.7%, p < 0.001, respectively). The proportion of perinatal deaths was also higher in the severe preeclampsia group than in the normal pregnant group (16.7% versus 0%, p < 0.001) (Table 2).\nPerinatal complications\n*P < 0.05; †p < 0.001.\nBirth weight in the severe preeclampsia group was significantly lower than in the normal pregnant group (2142.1 ± 786.8 g versus 3279.1 ± 359.4 g, p < 0.001). Similarly, placental weight was also lower in the severe preeclampsia group compared with the normal pregnant group (517.9 ± 237.6 g versus 650.6 ± 120.6 g, p < 0.001).\nNeonatal Apgar score (appearance of skin color, pulse, grimace, activity, and respiration) was used to classify newborn infants [21]. The Apgar scores were significantly lower in infants from the severe preeclampsia group compared with infants from the normal pregnant group at one minute (7.1 ± 1.8 versus 9.5 ± 0.5, p < 0.001), five minutes (8.0 ± 1.3 versus 9.8 ± 0.2, p < 0.001), and ten minutes (8.3 ± 1.4 versus 10.0 ± 0, p < 0.001). Low Apgar score was defined, according to the Apgar score at one minute; severe was considered to be between 0 and 3 and mild was considered to be between 4 and 7. The incidence of low Apgar score was significantly higher in the severe preeclampsia group compared with the normal pregnant group (20.0% versus 0%, respectively; p < 0.001).\nOf the 60 neonates in the severe preeclampsia group, 16.7% (10/60) died, 21.7% (13/60) were transferred to the BaYi Children’s Hospital, 41.7% (25/60) were transferred to the pediatric department of our hospital, and 20.0% (12/60) required no further treatment.\n The sensitivity and specificity of the ELISA assay Results of samples from most of the patients were stable until the titer serum was diluted to 1:160. Although the absorbance decreased when the sera were diluted, there was a significant difference between the positive and negative samples throughout. The sensitivity and specificity of the assay to the M2-AAB are shown in Figure 1. The curve for positive patient samples (3 randomly selected samples) corresponded well with the curve for the positive control sample. Results were similar for negative samples. There was a large difference in response between samples from patients that were positive for M2-AAB and those that were negative for M2-AAB. Based on these curves, we concluded that the ELISA had good sensitivity and specificity.\nThe sensitivity and specificity of the ELISA assay. The curve of positive patients (3 randomly selected samples) was in good correspondence with the curve for the positive control blood sample, and the similar result was found in negative samples. There was a great difference in response between patients positive and those negative to the M2-AAB.\nResults of samples from most of the patients were stable until the titer serum was diluted to 1:160. Although the absorbance decreased when the sera were diluted, there was a significant difference between the positive and negative samples throughout. The sensitivity and specificity of the assay to the M2-AAB are shown in Figure 1. The curve for positive patient samples (3 randomly selected samples) corresponded well with the curve for the positive control sample. Results were similar for negative samples. There was a large difference in response between samples from patients that were positive for M2-AAB and those that were negative for M2-AAB. Based on these curves, we concluded that the ELISA had good sensitivity and specificity.\nThe sensitivity and specificity of the ELISA assay. The curve of positive patients (3 randomly selected samples) was in good correspondence with the curve for the positive control blood sample, and the similar result was found in negative samples. There was a great difference in response between patients positive and those negative to the M2-AAB.\n ELISA result A total of 31.7% (19/60) of the severe preeclampsia group, 10.0% (6/60) (p = 0.006) of the normal pregnant group, and 8.3% (5/60) (p = 0.002) of non-pregnant controls were sera positive for M2-AAB. The geometric mean titer of the M2-AAB was significantly higher in the severe preeclampsia group (1:128) compared to the normal pregnant group (1:44) and to the non-pregnant controls (1:40) (p < 0.001 for both) (Figure 2).\nFrequencies and titers of autoantibodies among the three groups. Panel A: Frequencies of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. Panel B: Geometric mean titers of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. *p < 0.05: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls; ***p < 0.001: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls. M2-AAB: autoantibodies against M2-muscarinic receptors; SPE: severe preeclampsia; NP: normal pregnant; NC: non-pregnant control.\nA total of 31.7% (19/60) of the severe preeclampsia group, 10.0% (6/60) (p = 0.006) of the normal pregnant group, and 8.3% (5/60) (p = 0.002) of non-pregnant controls were sera positive for M2-AAB. The geometric mean titer of the M2-AAB was significantly higher in the severe preeclampsia group (1:128) compared to the normal pregnant group (1:44) and to the non-pregnant controls (1:40) (p < 0.001 for both) (Figure 2).\nFrequencies and titers of autoantibodies among the three groups. Panel A: Frequencies of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. Panel B: Geometric mean titers of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. *p < 0.05: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls; ***p < 0.001: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls. M2-AAB: autoantibodies against M2-muscarinic receptors; SPE: severe preeclampsia; NP: normal pregnant; NC: non-pregnant control.\n The association of M2-AAB and clinical outcomes Unadjusted odds ratios were used to estimate the association of M2-AAB with pregnancy complications, fetal distress, preterm birth, neonatal asphyxia, and perinatal death among women with severe preeclampsia. Positivity for M2-AAB was associated with pregnancy complications (OR, 3.6; 95%CI, 1.0-12.6; p = 0.048), fetal growth restriction (OR, 6.8; 95% CI, 2.0-23.0; p = 0.002), fetal distress (OR, 6.7; 95% CI, 1.7-26.6; p = 0.007), low Apgar score (OR, 5.3; 95% CI, 1.4-20.7; p = 0.017), and perinatal death (OR, 4.3; 95% CI, 1.0-17.6; p = 0.044).\nUnadjusted odds ratios were used to estimate the association of M2-AAB with pregnancy complications, fetal distress, preterm birth, neonatal asphyxia, and perinatal death among women with severe preeclampsia. Positivity for M2-AAB was associated with pregnancy complications (OR, 3.6; 95%CI, 1.0-12.6; p = 0.048), fetal growth restriction (OR, 6.8; 95% CI, 2.0-23.0; p = 0.002), fetal distress (OR, 6.7; 95% CI, 1.7-26.6; p = 0.007), low Apgar score (OR, 5.3; 95% CI, 1.4-20.7; p = 0.017), and perinatal death (OR, 4.3; 95% CI, 1.0-17.6; p = 0.044).", "Headache was the main complaint in the severe preeclampsia group. Blurred vision, epigastric pain, and oliguria were also common complaints.\nThe maternal hospital stay was significantly longer for women in the severe preeclampsia group compared with those in the normal pregnant group (9.1 ± 5.4 days versus 4.2 ± 2.3 days, p < 0.001). The frequency of pregnancy complications, including oligohydramnios (6/60), placental abruption (5/60), placenta remnants (7/60), postpartum hemorrhage (4/60), retinal edema (2/60), preretinal hemorrhage (4/60) and hypertensive retinopathy (8/60), was significantly higher among those in the severe preeclampsia group than in the normal pregnant group (36/60 versus 0/60, p < 0.001).", "Fetal ultrasound examination showed significant elevations in pulse index, resistance index and the S/D value of the umbilical artery. S/D value refers to the ratio of the peak systolic and diastolic velocity of the fetal umbilical artery and is indicative of the placenta-fetal blood flow resistance.\nA total of 41.7% (25/60) of fetuses in the severe preeclampsia group suffered from fetal growth restriction and 20.0% (12/60) suffered from fetal distress; both of which were significantly higher compared with fetuses in the normal pregnant group (p < 0.001 for both). The proportion of preterm births and low birth weight was significantly higher in the severe preeclampsia group compared with the normal pregnant group (76.7% versus 10.0% and 75.0% versus 6.7%, p < 0.001, respectively). The proportion of perinatal deaths was also higher in the severe preeclampsia group than in the normal pregnant group (16.7% versus 0%, p < 0.001) (Table 2).\nPerinatal complications\n*P < 0.05; †p < 0.001.\nBirth weight in the severe preeclampsia group was significantly lower than in the normal pregnant group (2142.1 ± 786.8 g versus 3279.1 ± 359.4 g, p < 0.001). Similarly, placental weight was also lower in the severe preeclampsia group compared with the normal pregnant group (517.9 ± 237.6 g versus 650.6 ± 120.6 g, p < 0.001).\nNeonatal Apgar score (appearance of skin color, pulse, grimace, activity, and respiration) was used to classify newborn infants [21]. The Apgar scores were significantly lower in infants from the severe preeclampsia group compared with infants from the normal pregnant group at one minute (7.1 ± 1.8 versus 9.5 ± 0.5, p < 0.001), five minutes (8.0 ± 1.3 versus 9.8 ± 0.2, p < 0.001), and ten minutes (8.3 ± 1.4 versus 10.0 ± 0, p < 0.001). Low Apgar score was defined, according to the Apgar score at one minute; severe was considered to be between 0 and 3 and mild was considered to be between 4 and 7. The incidence of low Apgar score was significantly higher in the severe preeclampsia group compared with the normal pregnant group (20.0% versus 0%, respectively; p < 0.001).\nOf the 60 neonates in the severe preeclampsia group, 16.7% (10/60) died, 21.7% (13/60) were transferred to the BaYi Children’s Hospital, 41.7% (25/60) were transferred to the pediatric department of our hospital, and 20.0% (12/60) required no further treatment.", "Results of samples from most of the patients were stable until the titer serum was diluted to 1:160. Although the absorbance decreased when the sera were diluted, there was a significant difference between the positive and negative samples throughout. The sensitivity and specificity of the assay to the M2-AAB are shown in Figure 1. The curve for positive patient samples (3 randomly selected samples) corresponded well with the curve for the positive control sample. Results were similar for negative samples. There was a large difference in response between samples from patients that were positive for M2-AAB and those that were negative for M2-AAB. Based on these curves, we concluded that the ELISA had good sensitivity and specificity.\nThe sensitivity and specificity of the ELISA assay. The curve of positive patients (3 randomly selected samples) was in good correspondence with the curve for the positive control blood sample, and the similar result was found in negative samples. There was a great difference in response between patients positive and those negative to the M2-AAB.", "A total of 31.7% (19/60) of the severe preeclampsia group, 10.0% (6/60) (p = 0.006) of the normal pregnant group, and 8.3% (5/60) (p = 0.002) of non-pregnant controls were sera positive for M2-AAB. The geometric mean titer of the M2-AAB was significantly higher in the severe preeclampsia group (1:128) compared to the normal pregnant group (1:44) and to the non-pregnant controls (1:40) (p < 0.001 for both) (Figure 2).\nFrequencies and titers of autoantibodies among the three groups. Panel A: Frequencies of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. Panel B: Geometric mean titers of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. *p < 0.05: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls; ***p < 0.001: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls. M2-AAB: autoantibodies against M2-muscarinic receptors; SPE: severe preeclampsia; NP: normal pregnant; NC: non-pregnant control.", "Unadjusted odds ratios were used to estimate the association of M2-AAB with pregnancy complications, fetal distress, preterm birth, neonatal asphyxia, and perinatal death among women with severe preeclampsia. Positivity for M2-AAB was associated with pregnancy complications (OR, 3.6; 95%CI, 1.0-12.6; p = 0.048), fetal growth restriction (OR, 6.8; 95% CI, 2.0-23.0; p = 0.002), fetal distress (OR, 6.7; 95% CI, 1.7-26.6; p = 0.007), low Apgar score (OR, 5.3; 95% CI, 1.4-20.7; p = 0.017), and perinatal death (OR, 4.3; 95% CI, 1.0-17.6; p = 0.044).", " Main findings In this study we demonstrated, for the first time, that positivity for M2-AAB is closely associated with severe preeclampsia. The frequencies and titers of M2-AAB were significantly higher in the severe preeclampsia group, when compared to normal pregnant women and non-pregnant healthy controls. The presence of M2-AAB in women with severe preeclampsia was associated with both adverse maternal and perinatal clinical outcomes, including pregnancy complications, fetal distress, fetal growth restriction, low Apgar score and perinatal death.\nIn this study we demonstrated, for the first time, that positivity for M2-AAB is closely associated with severe preeclampsia. The frequencies and titers of M2-AAB were significantly higher in the severe preeclampsia group, when compared to normal pregnant women and non-pregnant healthy controls. The presence of M2-AAB in women with severe preeclampsia was associated with both adverse maternal and perinatal clinical outcomes, including pregnancy complications, fetal distress, fetal growth restriction, low Apgar score and perinatal death.\n Immune mechanisms in preeclampsia The pathogenesis of preeclampsia remains obscure, but is likely multifactorial and involves abnormal placentation, reduced placental perfusion, endothelial cell dysfunction, and systemic vasospasm [22]. An immune mechanism has long been postulated as playing a role in the pathogenesis of preeclampsia. Immune maladaptation may impair invasion of spiral arteries by endovascular cytotrophoblast cells [23]. Studies have suggested that repeated exposure to sperm from a particular male partner prior to pregnancy promotes immune tolerance and reduces the risk of defective trophoblast invasion [24]. Autoantibodies, such as anticardiolipin and anti-β2-glycoprotein-1 antibody, have been detected in preeclampsia patients [25]. Since the first report was published that described the presence of AT1-AAB in preeclampsia patients [4], researchers have gained a greater understanding of the pathogenic mechanisms underlying preeclampsia, which implicate the immune system. Recently we found an obvious increase in the frequency of autoantibodies against adrenergic receptors, such as β1, β2, and α1, in patients with severe preeclampsia with obscure mechanisms [9].\nThe pathogenesis of preeclampsia remains obscure, but is likely multifactorial and involves abnormal placentation, reduced placental perfusion, endothelial cell dysfunction, and systemic vasospasm [22]. An immune mechanism has long been postulated as playing a role in the pathogenesis of preeclampsia. Immune maladaptation may impair invasion of spiral arteries by endovascular cytotrophoblast cells [23]. Studies have suggested that repeated exposure to sperm from a particular male partner prior to pregnancy promotes immune tolerance and reduces the risk of defective trophoblast invasion [24]. Autoantibodies, such as anticardiolipin and anti-β2-glycoprotein-1 antibody, have been detected in preeclampsia patients [25]. Since the first report was published that described the presence of AT1-AAB in preeclampsia patients [4], researchers have gained a greater understanding of the pathogenic mechanisms underlying preeclampsia, which implicate the immune system. Recently we found an obvious increase in the frequency of autoantibodies against adrenergic receptors, such as β1, β2, and α1, in patients with severe preeclampsia with obscure mechanisms [9].\n Autoantibodies and preeclampsia While our results need to be confirmed by larger studies, there are biologically plausible mechanisms by which M2-AAB may lead to severe preeclampsia. The M2 receptor is primarily expressed in the heart (in human and other mammalian species), and its activation results in negative chronotropic and inotropic effects by inhibiting adenylyl cyclase, decreasing intracellular cAMP, and reducing L-type Ca2+ currents. Previous studies from our group and others have demonstrated that M2-AAB display “agonistic activity” against their target receptors resulting in myocardial injury and cardiac dysfunction.\nStudies have shown that the risk of long-term sequelae, such as chronic hypertension, ischemic heart disease, stroke, and venous thromboembolism are significantly increased in women with preeclampsia [26,27]. In this study, we were able to collect blood samples from ten of the sixty patients with severe preeclampsia at the end of puerperium, without a scheduled follow-up. Three of the ten samples were positive for M2-AAB at titers similar to the levels at the time of recruitment. This is similar to what has been observed for autoantibodies against adrenergic receptors [9]. We infer that the presence of autoantibodies might be correlated to a high risk for cardiovascular sequelae, however this hypothesis needs further exploration.\nFrequencies and titers of M2-AAB were significantly higher in the severe preeclampsia group than in the normal pregnant women and non-pregnant control groups. Therefore, we hypothesize that there may be a relationship between the presence of M2-AAB and the development of severe preeclampsia. Alternatively, it is plausible that severe preeclampsia triggers the production of M2-AAB. Further studies are needed to clarify the association between M2-AAB and the development of severe preeclampsia.\nWhile our results need to be confirmed by larger studies, there are biologically plausible mechanisms by which M2-AAB may lead to severe preeclampsia. The M2 receptor is primarily expressed in the heart (in human and other mammalian species), and its activation results in negative chronotropic and inotropic effects by inhibiting adenylyl cyclase, decreasing intracellular cAMP, and reducing L-type Ca2+ currents. Previous studies from our group and others have demonstrated that M2-AAB display “agonistic activity” against their target receptors resulting in myocardial injury and cardiac dysfunction.\nStudies have shown that the risk of long-term sequelae, such as chronic hypertension, ischemic heart disease, stroke, and venous thromboembolism are significantly increased in women with preeclampsia [26,27]. In this study, we were able to collect blood samples from ten of the sixty patients with severe preeclampsia at the end of puerperium, without a scheduled follow-up. Three of the ten samples were positive for M2-AAB at titers similar to the levels at the time of recruitment. This is similar to what has been observed for autoantibodies against adrenergic receptors [9]. We infer that the presence of autoantibodies might be correlated to a high risk for cardiovascular sequelae, however this hypothesis needs further exploration.\nFrequencies and titers of M2-AAB were significantly higher in the severe preeclampsia group than in the normal pregnant women and non-pregnant control groups. Therefore, we hypothesize that there may be a relationship between the presence of M2-AAB and the development of severe preeclampsia. Alternatively, it is plausible that severe preeclampsia triggers the production of M2-AAB. Further studies are needed to clarify the association between M2-AAB and the development of severe preeclampsia.\n Limitations There are limitations that should be considered when interpreting our results. First, this case–control study, like all case–control studies, there is always that possibility of selection bias. We included two groups of controls who were age-matched to the cases and were randomly selected from the sample population. This would minimize selection bias. Second, our analyses were unadjusted for potential confounders. While this is unlikely, it is possible that the associations observe could be the result of an unknown confounder. Third, while the association between M2-AAB and severe preeclampsia is biologically plausible, we are careful to point out that association is not necessarily causality. Further studies will be needed to elucidate a causal role of M2-AAB in severe preeclampsia. However, the association between M2-AAB and adverse perinatal outcomes among women with severe preeclampsia is suggestive of a causal role. Fourth, as we didn’t include a group of mild preeclampsia patients, the relation between severity of preeclampsia and the antibody titer was unknown. Besides, maybe gestational age affects the antibody titer more than maternal age does. We collect blood samples of patients that were admitted to Beijing Chao-Yang Hospital during prepartum period and the gestational age was significant increased in the normal pregnant women. Finally, only serum M2-AAB was detected. Further studies that examine the biological activity of M2-AAB, as well as M2 receptors in the placenta and umbilical vessels, are needed.\nThere are limitations that should be considered when interpreting our results. First, this case–control study, like all case–control studies, there is always that possibility of selection bias. We included two groups of controls who were age-matched to the cases and were randomly selected from the sample population. This would minimize selection bias. Second, our analyses were unadjusted for potential confounders. While this is unlikely, it is possible that the associations observe could be the result of an unknown confounder. Third, while the association between M2-AAB and severe preeclampsia is biologically plausible, we are careful to point out that association is not necessarily causality. Further studies will be needed to elucidate a causal role of M2-AAB in severe preeclampsia. However, the association between M2-AAB and adverse perinatal outcomes among women with severe preeclampsia is suggestive of a causal role. Fourth, as we didn’t include a group of mild preeclampsia patients, the relation between severity of preeclampsia and the antibody titer was unknown. Besides, maybe gestational age affects the antibody titer more than maternal age does. We collect blood samples of patients that were admitted to Beijing Chao-Yang Hospital during prepartum period and the gestational age was significant increased in the normal pregnant women. Finally, only serum M2-AAB was detected. Further studies that examine the biological activity of M2-AAB, as well as M2 receptors in the placenta and umbilical vessels, are needed.", "In this study we demonstrated, for the first time, that positivity for M2-AAB is closely associated with severe preeclampsia. The frequencies and titers of M2-AAB were significantly higher in the severe preeclampsia group, when compared to normal pregnant women and non-pregnant healthy controls. The presence of M2-AAB in women with severe preeclampsia was associated with both adverse maternal and perinatal clinical outcomes, including pregnancy complications, fetal distress, fetal growth restriction, low Apgar score and perinatal death.", "The pathogenesis of preeclampsia remains obscure, but is likely multifactorial and involves abnormal placentation, reduced placental perfusion, endothelial cell dysfunction, and systemic vasospasm [22]. An immune mechanism has long been postulated as playing a role in the pathogenesis of preeclampsia. Immune maladaptation may impair invasion of spiral arteries by endovascular cytotrophoblast cells [23]. Studies have suggested that repeated exposure to sperm from a particular male partner prior to pregnancy promotes immune tolerance and reduces the risk of defective trophoblast invasion [24]. Autoantibodies, such as anticardiolipin and anti-β2-glycoprotein-1 antibody, have been detected in preeclampsia patients [25]. Since the first report was published that described the presence of AT1-AAB in preeclampsia patients [4], researchers have gained a greater understanding of the pathogenic mechanisms underlying preeclampsia, which implicate the immune system. Recently we found an obvious increase in the frequency of autoantibodies against adrenergic receptors, such as β1, β2, and α1, in patients with severe preeclampsia with obscure mechanisms [9].", "While our results need to be confirmed by larger studies, there are biologically plausible mechanisms by which M2-AAB may lead to severe preeclampsia. The M2 receptor is primarily expressed in the heart (in human and other mammalian species), and its activation results in negative chronotropic and inotropic effects by inhibiting adenylyl cyclase, decreasing intracellular cAMP, and reducing L-type Ca2+ currents. Previous studies from our group and others have demonstrated that M2-AAB display “agonistic activity” against their target receptors resulting in myocardial injury and cardiac dysfunction.\nStudies have shown that the risk of long-term sequelae, such as chronic hypertension, ischemic heart disease, stroke, and venous thromboembolism are significantly increased in women with preeclampsia [26,27]. In this study, we were able to collect blood samples from ten of the sixty patients with severe preeclampsia at the end of puerperium, without a scheduled follow-up. Three of the ten samples were positive for M2-AAB at titers similar to the levels at the time of recruitment. This is similar to what has been observed for autoantibodies against adrenergic receptors [9]. We infer that the presence of autoantibodies might be correlated to a high risk for cardiovascular sequelae, however this hypothesis needs further exploration.\nFrequencies and titers of M2-AAB were significantly higher in the severe preeclampsia group than in the normal pregnant women and non-pregnant control groups. Therefore, we hypothesize that there may be a relationship between the presence of M2-AAB and the development of severe preeclampsia. Alternatively, it is plausible that severe preeclampsia triggers the production of M2-AAB. Further studies are needed to clarify the association between M2-AAB and the development of severe preeclampsia.", "There are limitations that should be considered when interpreting our results. First, this case–control study, like all case–control studies, there is always that possibility of selection bias. We included two groups of controls who were age-matched to the cases and were randomly selected from the sample population. This would minimize selection bias. Second, our analyses were unadjusted for potential confounders. While this is unlikely, it is possible that the associations observe could be the result of an unknown confounder. Third, while the association between M2-AAB and severe preeclampsia is biologically plausible, we are careful to point out that association is not necessarily causality. Further studies will be needed to elucidate a causal role of M2-AAB in severe preeclampsia. However, the association between M2-AAB and adverse perinatal outcomes among women with severe preeclampsia is suggestive of a causal role. Fourth, as we didn’t include a group of mild preeclampsia patients, the relation between severity of preeclampsia and the antibody titer was unknown. Besides, maybe gestational age affects the antibody titer more than maternal age does. We collect blood samples of patients that were admitted to Beijing Chao-Yang Hospital during prepartum period and the gestational age was significant increased in the normal pregnant women. Finally, only serum M2-AAB was detected. Further studies that examine the biological activity of M2-AAB, as well as M2 receptors in the placenta and umbilical vessels, are needed.", "This study demonstrates the prevalence of M2-AAB in a cohort of women with severe preeclampsia. Risks of both maternal and perinatal complications are significantly increased when M2-AAB is present. M2-AAB may participate in the pathogenesis of severe preeclampsia and have clinical value for predicting complications.", "The authors declare that they have no competing interests.", "YFL, GLM, ZYZ and YY carried out the case, blood sample and clinical data collection. GLM and YDW carried out the immunoassay. GLM and GBM performed the analysis and interpretation of data. GLM and YTY were involved in drafting part of the manuscript. LZ contributed the whole study and participated in the design and coordination of this project as well as manuscript writing. All authors reviewed and approved the final manuscript." ]
[ null, "methods", null, null, null, null, "results", null, null, null, null, null, "discussion", null, null, null, null, "conclusions", null, null ]
[ "Pregnancy", "Hypertension", "Antibodies" ]
Background: Preeclampsia is a pregnancy-specific syndrome characterized by hypertension and proteinuria. It occurs in 3-5% pregnancies and leads to high maternal and fetal morbidity and mortality [1]. Research has shown that preeclampsia is a multi-systemic syndrome with complex pathophysiological changes, such as endothelial dysfunction, inflammatory response, activation of the coagulation system and metabolic changes [2]. In serious cases, termination of pregnancy is the only available option to prevent further deterioration of the fetus and mother [3]. To date, the underlying mechanisms responsible for the pathogenesis of preeclampsia remain unknown. In recent years, evidence has accumulated suggesting that autoimmunity plays a role in the pathogenesis of preeclampsia. Numerous studies have shown that women with preeclampsia possess autoantibodies against angiotensin II type 1 receptors (AT1-AAB), which bind to and activate the AT1 receptor, thus provoking biological responses relevant to the pathogenesis of preeclampsia [4-8]. Recently, we found an obvious increase in the frequency of autoantibodies against adrenergic receptors, such as β1, β2, and α1, in patients with severe preeclampsia [9]. Previous studies have described the role of autoantibodies against M2-muscarinic receptors (M2-AAB) in several kinds of cardiovascular disease, such as Chagas disease, hypertensive heart disease, idiopathic dilated cardiomyopathy and atrial fibrillation [10-16]. Therefore, the aim of this study was to test the hypothesis M2-AAB are associated with severe preeclampsia and increased risk of adverse perinatal outcomes. A synthetic peptide, corresponding to the amino acid sequence of the second extracellular loop of the human M2 receptor, was used to test sera from patients with severe preeclampsia, normal pregnant women, and non-pregnant controls. We compared the frequency of M2-AAB among the three groups. The relationship between M2-AAB and perinatal mortality and morbidity, was also investigated. Methods: Study subjects This was a case–control study. Patients that were admitted to Beijing Chao-Yang Hospital were managed by the obstetrics faculty of Capital Medical University. A total of 60 consecutive women diagnosed with severe preeclampsia based on the criteria set by the American College of Obstetricians and Gynecologists were recruited [17]. The criteria include increased blood pressure (≥ 160 mmHg systolic or ≥ 110 mmHg diastolic on two occasions taken at least 6 hours apart after 20 weeks of gestation) in women with previously normal blood pressure or proteinuria of ≥ 5 g over 24 h. We then randomly selected 60 age-matched, pregnant women and 60 age-matched non-pregnant women who were apparently healthy and had no hypertension or proteinuria. None of the control subjects had suffered preeclampsia previously. Exclusion criteria for all three groups included diabetes mellitus, vasculitis, renal disease and autoimmune disease. Blood samples were collected from the antecubital vein, upon recruitment into the study, using tubes containing EDTA. Samples were centrifuged at 2000 × g for 10 minutes, at 4°C, within 2 h of collection. Serum samples were stored at −80°C until analyzed. We were able to collect blood samples from ten of the sixty patients with severe preeclampsia at the end of puerperium, without a scheduled follow-up. Placenta was collected from study subjects and weighed. Clinical data from mothers and infants/neonates was also collected. The research protocol was conducted in accordance with the guidelines of the World Medical Association’s Declaration of Helsinki and was performed following approval from the Medical Ethics Committee of Capital Medical University, Beijing Chao-Yang Hospital. All women that were included in the study were in the prepartum or early intrapartum period of pregnancy and all provided written informed consent before inclusion in the study. In this study, low birth weight was defined as birth weight less than 2500 g. A gestational age of less than 37 weeks was considered to be preterm. Fetal growth restriction was operationally defined as sonographic estimated fetal weight below the 10th percentile for the gestational age. Evidence of fetal distress was considered to be a fetal heart rate of more than 160 bpm or less than 110 bpm, evaluated by electronic fetal monitoring, or the third degree of meconium-stained amniotic fluid. This was a case–control study. Patients that were admitted to Beijing Chao-Yang Hospital were managed by the obstetrics faculty of Capital Medical University. A total of 60 consecutive women diagnosed with severe preeclampsia based on the criteria set by the American College of Obstetricians and Gynecologists were recruited [17]. The criteria include increased blood pressure (≥ 160 mmHg systolic or ≥ 110 mmHg diastolic on two occasions taken at least 6 hours apart after 20 weeks of gestation) in women with previously normal blood pressure or proteinuria of ≥ 5 g over 24 h. We then randomly selected 60 age-matched, pregnant women and 60 age-matched non-pregnant women who were apparently healthy and had no hypertension or proteinuria. None of the control subjects had suffered preeclampsia previously. Exclusion criteria for all three groups included diabetes mellitus, vasculitis, renal disease and autoimmune disease. Blood samples were collected from the antecubital vein, upon recruitment into the study, using tubes containing EDTA. Samples were centrifuged at 2000 × g for 10 minutes, at 4°C, within 2 h of collection. Serum samples were stored at −80°C until analyzed. We were able to collect blood samples from ten of the sixty patients with severe preeclampsia at the end of puerperium, without a scheduled follow-up. Placenta was collected from study subjects and weighed. Clinical data from mothers and infants/neonates was also collected. The research protocol was conducted in accordance with the guidelines of the World Medical Association’s Declaration of Helsinki and was performed following approval from the Medical Ethics Committee of Capital Medical University, Beijing Chao-Yang Hospital. All women that were included in the study were in the prepartum or early intrapartum period of pregnancy and all provided written informed consent before inclusion in the study. In this study, low birth weight was defined as birth weight less than 2500 g. A gestational age of less than 37 weeks was considered to be preterm. Fetal growth restriction was operationally defined as sonographic estimated fetal weight below the 10th percentile for the gestational age. Evidence of fetal distress was considered to be a fetal heart rate of more than 160 bpm or less than 110 bpm, evaluated by electronic fetal monitoring, or the third degree of meconium-stained amniotic fluid. Materials Peptide corresponding to the amino acid sequence of the second extracellular loop of the human M2 receptor (residues 168 to 193, V-R-T-V-E-D-G-E-C-Y-I-Q-F-F-S-N-A-A-V-T-F-G-T-A-I-A) was synthesized by Genomed (Genomed Synthesis, Inc., San Francisco, CA, U.S.) [18-20]. The purity of the peptide, as determined by HPLC using a Vydac C-18 column, was 95.6%. The molecular weight of the peptide was analyzed by mass spectrometry. A Nunc microtiter plate was purchased from Maxisorb, Kastrup, Denmark. Tween-20, thimerosal, and ABTS were obtained from Sigma, St. Louis, MO, USA. Fetal bovine serum, biotinylated goat anti-human IgG (H + L), and horseradish peroxidase-streptavidin were purchased from Zhongshan Golden Bridge Biotech, Beijing, China. The microplate reader was purchased from Molecular Devices Corp, Menlo Park, CA. Peptide corresponding to the amino acid sequence of the second extracellular loop of the human M2 receptor (residues 168 to 193, V-R-T-V-E-D-G-E-C-Y-I-Q-F-F-S-N-A-A-V-T-F-G-T-A-I-A) was synthesized by Genomed (Genomed Synthesis, Inc., San Francisco, CA, U.S.) [18-20]. The purity of the peptide, as determined by HPLC using a Vydac C-18 column, was 95.6%. The molecular weight of the peptide was analyzed by mass spectrometry. A Nunc microtiter plate was purchased from Maxisorb, Kastrup, Denmark. Tween-20, thimerosal, and ABTS were obtained from Sigma, St. Louis, MO, USA. Fetal bovine serum, biotinylated goat anti-human IgG (H + L), and horseradish peroxidase-streptavidin were purchased from Zhongshan Golden Bridge Biotech, Beijing, China. The microplate reader was purchased from Molecular Devices Corp, Menlo Park, CA. ELISA protocol Samples were classified as positive or negative based on the presence or absence of M2-AAB. An ELISA protocol, previously described by Fu et al. [20], was used for screening. Briefly, a microtiter plate was coated with 50 μL of peptide (5 mg/L) in 100 mmol Na2CO3 solution (pH = 11) and stored overnight at 4°C. The wells were saturated with PMT (1 × PBS, 1 mL/L Tween-20, and 0.1 g/L thimerosal (PBS-T) supplemented with 100 mL/L fetal bovine serum) and incubated for 1 hour at 37°C. Then 50 μL of serum was diluted from 1:20 to 1:160, positive and negative controls were added and the wells were again incubated for 1 hour at 37 °C. After washing three times with PBS-T, affinity-purified biotinylated goat anti-human IgG (H + L) (1:500 dilution in PMT) was added and the wells were incubated for 1 hour at 37°C. After another round of washing, the bound biotinylated antibody was detected by incubating the microtiter plate for 1 hour at 37°C with horseradish peroxidase-streptavidin (1:500 dilution in PMT). After washing an additional three times with PBS, 2.5 mmol/L H2O2 was added followed by 2 mmol/L ABTS in citrate buffer solution. After 20 minutes, absorbance (A) was measured at 405 nm in a microplate reader. The sensitivity and specificity of the ELISA assay, for sample sera and positive and negative serum, were measured by the corresponding curves. Several recently detected samples were combined for the positive and negative sera. All samples were tested twice to verify the reliability of the result. The intra-assay and inter-assay coefficient of variation was less than 5 %. The detection range of absorbance was up to 2.5. Further dilution was done when the absorbance was over the upper limit. Samples were classified as positive or negative based on the presence or absence of M2-AAB. An ELISA protocol, previously described by Fu et al. [20], was used for screening. Briefly, a microtiter plate was coated with 50 μL of peptide (5 mg/L) in 100 mmol Na2CO3 solution (pH = 11) and stored overnight at 4°C. The wells were saturated with PMT (1 × PBS, 1 mL/L Tween-20, and 0.1 g/L thimerosal (PBS-T) supplemented with 100 mL/L fetal bovine serum) and incubated for 1 hour at 37°C. Then 50 μL of serum was diluted from 1:20 to 1:160, positive and negative controls were added and the wells were again incubated for 1 hour at 37 °C. After washing three times with PBS-T, affinity-purified biotinylated goat anti-human IgG (H + L) (1:500 dilution in PMT) was added and the wells were incubated for 1 hour at 37°C. After another round of washing, the bound biotinylated antibody was detected by incubating the microtiter plate for 1 hour at 37°C with horseradish peroxidase-streptavidin (1:500 dilution in PMT). After washing an additional three times with PBS, 2.5 mmol/L H2O2 was added followed by 2 mmol/L ABTS in citrate buffer solution. After 20 minutes, absorbance (A) was measured at 405 nm in a microplate reader. The sensitivity and specificity of the ELISA assay, for sample sera and positive and negative serum, were measured by the corresponding curves. Several recently detected samples were combined for the positive and negative sera. All samples were tested twice to verify the reliability of the result. The intra-assay and inter-assay coefficient of variation was less than 5 %. The detection range of absorbance was up to 2.5. Further dilution was done when the absorbance was over the upper limit. Data analysis Quantitative data are expressed as the mean ± SD. Positivity was defined as a ratio of (sample A - blank A)/(negative control A - blank A) ≥ 2.1. Antibody titer was reported as geometric mean. Continuous variables that were not normally distributed were log-transformed to obtain normality for testing, and geometric means were presented. One-way ANOVA test was used to determine significant differences between groups. The association between the presence of M2-AAB and categorical outcomes among women with severe preeclampsia was estimated by calculating unadjusted odds ratios. Adjusted analysis was not performed due to the small sample size. Data were analyzed using SPSS 16.0 (SPSS, Chicago, Illinois, USA). P < 0.05 was considered statistically significant. Quantitative data are expressed as the mean ± SD. Positivity was defined as a ratio of (sample A - blank A)/(negative control A - blank A) ≥ 2.1. Antibody titer was reported as geometric mean. Continuous variables that were not normally distributed were log-transformed to obtain normality for testing, and geometric means were presented. One-way ANOVA test was used to determine significant differences between groups. The association between the presence of M2-AAB and categorical outcomes among women with severe preeclampsia was estimated by calculating unadjusted odds ratios. Adjusted analysis was not performed due to the small sample size. Data were analyzed using SPSS 16.0 (SPSS, Chicago, Illinois, USA). P < 0.05 was considered statistically significant. Study subjects: This was a case–control study. Patients that were admitted to Beijing Chao-Yang Hospital were managed by the obstetrics faculty of Capital Medical University. A total of 60 consecutive women diagnosed with severe preeclampsia based on the criteria set by the American College of Obstetricians and Gynecologists were recruited [17]. The criteria include increased blood pressure (≥ 160 mmHg systolic or ≥ 110 mmHg diastolic on two occasions taken at least 6 hours apart after 20 weeks of gestation) in women with previously normal blood pressure or proteinuria of ≥ 5 g over 24 h. We then randomly selected 60 age-matched, pregnant women and 60 age-matched non-pregnant women who were apparently healthy and had no hypertension or proteinuria. None of the control subjects had suffered preeclampsia previously. Exclusion criteria for all three groups included diabetes mellitus, vasculitis, renal disease and autoimmune disease. Blood samples were collected from the antecubital vein, upon recruitment into the study, using tubes containing EDTA. Samples were centrifuged at 2000 × g for 10 minutes, at 4°C, within 2 h of collection. Serum samples were stored at −80°C until analyzed. We were able to collect blood samples from ten of the sixty patients with severe preeclampsia at the end of puerperium, without a scheduled follow-up. Placenta was collected from study subjects and weighed. Clinical data from mothers and infants/neonates was also collected. The research protocol was conducted in accordance with the guidelines of the World Medical Association’s Declaration of Helsinki and was performed following approval from the Medical Ethics Committee of Capital Medical University, Beijing Chao-Yang Hospital. All women that were included in the study were in the prepartum or early intrapartum period of pregnancy and all provided written informed consent before inclusion in the study. In this study, low birth weight was defined as birth weight less than 2500 g. A gestational age of less than 37 weeks was considered to be preterm. Fetal growth restriction was operationally defined as sonographic estimated fetal weight below the 10th percentile for the gestational age. Evidence of fetal distress was considered to be a fetal heart rate of more than 160 bpm or less than 110 bpm, evaluated by electronic fetal monitoring, or the third degree of meconium-stained amniotic fluid. Materials: Peptide corresponding to the amino acid sequence of the second extracellular loop of the human M2 receptor (residues 168 to 193, V-R-T-V-E-D-G-E-C-Y-I-Q-F-F-S-N-A-A-V-T-F-G-T-A-I-A) was synthesized by Genomed (Genomed Synthesis, Inc., San Francisco, CA, U.S.) [18-20]. The purity of the peptide, as determined by HPLC using a Vydac C-18 column, was 95.6%. The molecular weight of the peptide was analyzed by mass spectrometry. A Nunc microtiter plate was purchased from Maxisorb, Kastrup, Denmark. Tween-20, thimerosal, and ABTS were obtained from Sigma, St. Louis, MO, USA. Fetal bovine serum, biotinylated goat anti-human IgG (H + L), and horseradish peroxidase-streptavidin were purchased from Zhongshan Golden Bridge Biotech, Beijing, China. The microplate reader was purchased from Molecular Devices Corp, Menlo Park, CA. ELISA protocol: Samples were classified as positive or negative based on the presence or absence of M2-AAB. An ELISA protocol, previously described by Fu et al. [20], was used for screening. Briefly, a microtiter plate was coated with 50 μL of peptide (5 mg/L) in 100 mmol Na2CO3 solution (pH = 11) and stored overnight at 4°C. The wells were saturated with PMT (1 × PBS, 1 mL/L Tween-20, and 0.1 g/L thimerosal (PBS-T) supplemented with 100 mL/L fetal bovine serum) and incubated for 1 hour at 37°C. Then 50 μL of serum was diluted from 1:20 to 1:160, positive and negative controls were added and the wells were again incubated for 1 hour at 37 °C. After washing three times with PBS-T, affinity-purified biotinylated goat anti-human IgG (H + L) (1:500 dilution in PMT) was added and the wells were incubated for 1 hour at 37°C. After another round of washing, the bound biotinylated antibody was detected by incubating the microtiter plate for 1 hour at 37°C with horseradish peroxidase-streptavidin (1:500 dilution in PMT). After washing an additional three times with PBS, 2.5 mmol/L H2O2 was added followed by 2 mmol/L ABTS in citrate buffer solution. After 20 minutes, absorbance (A) was measured at 405 nm in a microplate reader. The sensitivity and specificity of the ELISA assay, for sample sera and positive and negative serum, were measured by the corresponding curves. Several recently detected samples were combined for the positive and negative sera. All samples were tested twice to verify the reliability of the result. The intra-assay and inter-assay coefficient of variation was less than 5 %. The detection range of absorbance was up to 2.5. Further dilution was done when the absorbance was over the upper limit. Data analysis: Quantitative data are expressed as the mean ± SD. Positivity was defined as a ratio of (sample A - blank A)/(negative control A - blank A) ≥ 2.1. Antibody titer was reported as geometric mean. Continuous variables that were not normally distributed were log-transformed to obtain normality for testing, and geometric means were presented. One-way ANOVA test was used to determine significant differences between groups. The association between the presence of M2-AAB and categorical outcomes among women with severe preeclampsia was estimated by calculating unadjusted odds ratios. Adjusted analysis was not performed due to the small sample size. Data were analyzed using SPSS 16.0 (SPSS, Chicago, Illinois, USA). P < 0.05 was considered statistically significant. Results: A total of 180 women were included in the study. Of these, 60 were in the severe preeclampsia group, 60 were in the normal pregnant group and 60 were in the non-pregnant control group. Study subjects were enrolled between May 2011 and November 2012. Clinical characteristics of the women in the three study groups are shown in Table 1. Clinical characteristics of women from three groups in the present study Data are mean ± SD. Student’s unpaired two-tailed t-test was used to compare the non-pregnant to the normal pregnant group and the normal pregnant group to the severe preeclampsia group. Significant differences are indicated by * (p < 0.001). Nd: not determined; NA: not applicable. †: Urine protein of normal pregnant and non-pregnant women was within normal ranges and not routinely recorded. Maternal clinical characteristics Headache was the main complaint in the severe preeclampsia group. Blurred vision, epigastric pain, and oliguria were also common complaints. The maternal hospital stay was significantly longer for women in the severe preeclampsia group compared with those in the normal pregnant group (9.1 ± 5.4 days versus 4.2 ± 2.3 days, p < 0.001). The frequency of pregnancy complications, including oligohydramnios (6/60), placental abruption (5/60), placenta remnants (7/60), postpartum hemorrhage (4/60), retinal edema (2/60), preretinal hemorrhage (4/60) and hypertensive retinopathy (8/60), was significantly higher among those in the severe preeclampsia group than in the normal pregnant group (36/60 versus 0/60, p < 0.001). Headache was the main complaint in the severe preeclampsia group. Blurred vision, epigastric pain, and oliguria were also common complaints. The maternal hospital stay was significantly longer for women in the severe preeclampsia group compared with those in the normal pregnant group (9.1 ± 5.4 days versus 4.2 ± 2.3 days, p < 0.001). The frequency of pregnancy complications, including oligohydramnios (6/60), placental abruption (5/60), placenta remnants (7/60), postpartum hemorrhage (4/60), retinal edema (2/60), preretinal hemorrhage (4/60) and hypertensive retinopathy (8/60), was significantly higher among those in the severe preeclampsia group than in the normal pregnant group (36/60 versus 0/60, p < 0.001). Perinatal clinical characteristics Fetal ultrasound examination showed significant elevations in pulse index, resistance index and the S/D value of the umbilical artery. S/D value refers to the ratio of the peak systolic and diastolic velocity of the fetal umbilical artery and is indicative of the placenta-fetal blood flow resistance. A total of 41.7% (25/60) of fetuses in the severe preeclampsia group suffered from fetal growth restriction and 20.0% (12/60) suffered from fetal distress; both of which were significantly higher compared with fetuses in the normal pregnant group (p < 0.001 for both). The proportion of preterm births and low birth weight was significantly higher in the severe preeclampsia group compared with the normal pregnant group (76.7% versus 10.0% and 75.0% versus 6.7%, p < 0.001, respectively). The proportion of perinatal deaths was also higher in the severe preeclampsia group than in the normal pregnant group (16.7% versus 0%, p < 0.001) (Table 2). Perinatal complications *P < 0.05; †p < 0.001. Birth weight in the severe preeclampsia group was significantly lower than in the normal pregnant group (2142.1 ± 786.8 g versus 3279.1 ± 359.4 g, p < 0.001). Similarly, placental weight was also lower in the severe preeclampsia group compared with the normal pregnant group (517.9 ± 237.6 g versus 650.6 ± 120.6 g, p < 0.001). Neonatal Apgar score (appearance of skin color, pulse, grimace, activity, and respiration) was used to classify newborn infants [21]. The Apgar scores were significantly lower in infants from the severe preeclampsia group compared with infants from the normal pregnant group at one minute (7.1 ± 1.8 versus 9.5 ± 0.5, p < 0.001), five minutes (8.0 ± 1.3 versus 9.8 ± 0.2, p < 0.001), and ten minutes (8.3 ± 1.4 versus 10.0 ± 0, p < 0.001). Low Apgar score was defined, according to the Apgar score at one minute; severe was considered to be between 0 and 3 and mild was considered to be between 4 and 7. The incidence of low Apgar score was significantly higher in the severe preeclampsia group compared with the normal pregnant group (20.0% versus 0%, respectively; p < 0.001). Of the 60 neonates in the severe preeclampsia group, 16.7% (10/60) died, 21.7% (13/60) were transferred to the BaYi Children’s Hospital, 41.7% (25/60) were transferred to the pediatric department of our hospital, and 20.0% (12/60) required no further treatment. Fetal ultrasound examination showed significant elevations in pulse index, resistance index and the S/D value of the umbilical artery. S/D value refers to the ratio of the peak systolic and diastolic velocity of the fetal umbilical artery and is indicative of the placenta-fetal blood flow resistance. A total of 41.7% (25/60) of fetuses in the severe preeclampsia group suffered from fetal growth restriction and 20.0% (12/60) suffered from fetal distress; both of which were significantly higher compared with fetuses in the normal pregnant group (p < 0.001 for both). The proportion of preterm births and low birth weight was significantly higher in the severe preeclampsia group compared with the normal pregnant group (76.7% versus 10.0% and 75.0% versus 6.7%, p < 0.001, respectively). The proportion of perinatal deaths was also higher in the severe preeclampsia group than in the normal pregnant group (16.7% versus 0%, p < 0.001) (Table 2). Perinatal complications *P < 0.05; †p < 0.001. Birth weight in the severe preeclampsia group was significantly lower than in the normal pregnant group (2142.1 ± 786.8 g versus 3279.1 ± 359.4 g, p < 0.001). Similarly, placental weight was also lower in the severe preeclampsia group compared with the normal pregnant group (517.9 ± 237.6 g versus 650.6 ± 120.6 g, p < 0.001). Neonatal Apgar score (appearance of skin color, pulse, grimace, activity, and respiration) was used to classify newborn infants [21]. The Apgar scores were significantly lower in infants from the severe preeclampsia group compared with infants from the normal pregnant group at one minute (7.1 ± 1.8 versus 9.5 ± 0.5, p < 0.001), five minutes (8.0 ± 1.3 versus 9.8 ± 0.2, p < 0.001), and ten minutes (8.3 ± 1.4 versus 10.0 ± 0, p < 0.001). Low Apgar score was defined, according to the Apgar score at one minute; severe was considered to be between 0 and 3 and mild was considered to be between 4 and 7. The incidence of low Apgar score was significantly higher in the severe preeclampsia group compared with the normal pregnant group (20.0% versus 0%, respectively; p < 0.001). Of the 60 neonates in the severe preeclampsia group, 16.7% (10/60) died, 21.7% (13/60) were transferred to the BaYi Children’s Hospital, 41.7% (25/60) were transferred to the pediatric department of our hospital, and 20.0% (12/60) required no further treatment. The sensitivity and specificity of the ELISA assay Results of samples from most of the patients were stable until the titer serum was diluted to 1:160. Although the absorbance decreased when the sera were diluted, there was a significant difference between the positive and negative samples throughout. The sensitivity and specificity of the assay to the M2-AAB are shown in Figure 1. The curve for positive patient samples (3 randomly selected samples) corresponded well with the curve for the positive control sample. Results were similar for negative samples. There was a large difference in response between samples from patients that were positive for M2-AAB and those that were negative for M2-AAB. Based on these curves, we concluded that the ELISA had good sensitivity and specificity. The sensitivity and specificity of the ELISA assay. The curve of positive patients (3 randomly selected samples) was in good correspondence with the curve for the positive control blood sample, and the similar result was found in negative samples. There was a great difference in response between patients positive and those negative to the M2-AAB. Results of samples from most of the patients were stable until the titer serum was diluted to 1:160. Although the absorbance decreased when the sera were diluted, there was a significant difference between the positive and negative samples throughout. The sensitivity and specificity of the assay to the M2-AAB are shown in Figure 1. The curve for positive patient samples (3 randomly selected samples) corresponded well with the curve for the positive control sample. Results were similar for negative samples. There was a large difference in response between samples from patients that were positive for M2-AAB and those that were negative for M2-AAB. Based on these curves, we concluded that the ELISA had good sensitivity and specificity. The sensitivity and specificity of the ELISA assay. The curve of positive patients (3 randomly selected samples) was in good correspondence with the curve for the positive control blood sample, and the similar result was found in negative samples. There was a great difference in response between patients positive and those negative to the M2-AAB. ELISA result A total of 31.7% (19/60) of the severe preeclampsia group, 10.0% (6/60) (p = 0.006) of the normal pregnant group, and 8.3% (5/60) (p = 0.002) of non-pregnant controls were sera positive for M2-AAB. The geometric mean titer of the M2-AAB was significantly higher in the severe preeclampsia group (1:128) compared to the normal pregnant group (1:44) and to the non-pregnant controls (1:40) (p < 0.001 for both) (Figure 2). Frequencies and titers of autoantibodies among the three groups. Panel A: Frequencies of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. Panel B: Geometric mean titers of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. *p < 0.05: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls; ***p < 0.001: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls. M2-AAB: autoantibodies against M2-muscarinic receptors; SPE: severe preeclampsia; NP: normal pregnant; NC: non-pregnant control. A total of 31.7% (19/60) of the severe preeclampsia group, 10.0% (6/60) (p = 0.006) of the normal pregnant group, and 8.3% (5/60) (p = 0.002) of non-pregnant controls were sera positive for M2-AAB. The geometric mean titer of the M2-AAB was significantly higher in the severe preeclampsia group (1:128) compared to the normal pregnant group (1:44) and to the non-pregnant controls (1:40) (p < 0.001 for both) (Figure 2). Frequencies and titers of autoantibodies among the three groups. Panel A: Frequencies of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. Panel B: Geometric mean titers of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. *p < 0.05: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls; ***p < 0.001: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls. M2-AAB: autoantibodies against M2-muscarinic receptors; SPE: severe preeclampsia; NP: normal pregnant; NC: non-pregnant control. The association of M2-AAB and clinical outcomes Unadjusted odds ratios were used to estimate the association of M2-AAB with pregnancy complications, fetal distress, preterm birth, neonatal asphyxia, and perinatal death among women with severe preeclampsia. Positivity for M2-AAB was associated with pregnancy complications (OR, 3.6; 95%CI, 1.0-12.6; p = 0.048), fetal growth restriction (OR, 6.8; 95% CI, 2.0-23.0; p = 0.002), fetal distress (OR, 6.7; 95% CI, 1.7-26.6; p = 0.007), low Apgar score (OR, 5.3; 95% CI, 1.4-20.7; p = 0.017), and perinatal death (OR, 4.3; 95% CI, 1.0-17.6; p = 0.044). Unadjusted odds ratios were used to estimate the association of M2-AAB with pregnancy complications, fetal distress, preterm birth, neonatal asphyxia, and perinatal death among women with severe preeclampsia. Positivity for M2-AAB was associated with pregnancy complications (OR, 3.6; 95%CI, 1.0-12.6; p = 0.048), fetal growth restriction (OR, 6.8; 95% CI, 2.0-23.0; p = 0.002), fetal distress (OR, 6.7; 95% CI, 1.7-26.6; p = 0.007), low Apgar score (OR, 5.3; 95% CI, 1.4-20.7; p = 0.017), and perinatal death (OR, 4.3; 95% CI, 1.0-17.6; p = 0.044). Maternal clinical characteristics: Headache was the main complaint in the severe preeclampsia group. Blurred vision, epigastric pain, and oliguria were also common complaints. The maternal hospital stay was significantly longer for women in the severe preeclampsia group compared with those in the normal pregnant group (9.1 ± 5.4 days versus 4.2 ± 2.3 days, p < 0.001). The frequency of pregnancy complications, including oligohydramnios (6/60), placental abruption (5/60), placenta remnants (7/60), postpartum hemorrhage (4/60), retinal edema (2/60), preretinal hemorrhage (4/60) and hypertensive retinopathy (8/60), was significantly higher among those in the severe preeclampsia group than in the normal pregnant group (36/60 versus 0/60, p < 0.001). Perinatal clinical characteristics: Fetal ultrasound examination showed significant elevations in pulse index, resistance index and the S/D value of the umbilical artery. S/D value refers to the ratio of the peak systolic and diastolic velocity of the fetal umbilical artery and is indicative of the placenta-fetal blood flow resistance. A total of 41.7% (25/60) of fetuses in the severe preeclampsia group suffered from fetal growth restriction and 20.0% (12/60) suffered from fetal distress; both of which were significantly higher compared with fetuses in the normal pregnant group (p < 0.001 for both). The proportion of preterm births and low birth weight was significantly higher in the severe preeclampsia group compared with the normal pregnant group (76.7% versus 10.0% and 75.0% versus 6.7%, p < 0.001, respectively). The proportion of perinatal deaths was also higher in the severe preeclampsia group than in the normal pregnant group (16.7% versus 0%, p < 0.001) (Table 2). Perinatal complications *P < 0.05; †p < 0.001. Birth weight in the severe preeclampsia group was significantly lower than in the normal pregnant group (2142.1 ± 786.8 g versus 3279.1 ± 359.4 g, p < 0.001). Similarly, placental weight was also lower in the severe preeclampsia group compared with the normal pregnant group (517.9 ± 237.6 g versus 650.6 ± 120.6 g, p < 0.001). Neonatal Apgar score (appearance of skin color, pulse, grimace, activity, and respiration) was used to classify newborn infants [21]. The Apgar scores were significantly lower in infants from the severe preeclampsia group compared with infants from the normal pregnant group at one minute (7.1 ± 1.8 versus 9.5 ± 0.5, p < 0.001), five minutes (8.0 ± 1.3 versus 9.8 ± 0.2, p < 0.001), and ten minutes (8.3 ± 1.4 versus 10.0 ± 0, p < 0.001). Low Apgar score was defined, according to the Apgar score at one minute; severe was considered to be between 0 and 3 and mild was considered to be between 4 and 7. The incidence of low Apgar score was significantly higher in the severe preeclampsia group compared with the normal pregnant group (20.0% versus 0%, respectively; p < 0.001). Of the 60 neonates in the severe preeclampsia group, 16.7% (10/60) died, 21.7% (13/60) were transferred to the BaYi Children’s Hospital, 41.7% (25/60) were transferred to the pediatric department of our hospital, and 20.0% (12/60) required no further treatment. The sensitivity and specificity of the ELISA assay: Results of samples from most of the patients were stable until the titer serum was diluted to 1:160. Although the absorbance decreased when the sera were diluted, there was a significant difference between the positive and negative samples throughout. The sensitivity and specificity of the assay to the M2-AAB are shown in Figure 1. The curve for positive patient samples (3 randomly selected samples) corresponded well with the curve for the positive control sample. Results were similar for negative samples. There was a large difference in response between samples from patients that were positive for M2-AAB and those that were negative for M2-AAB. Based on these curves, we concluded that the ELISA had good sensitivity and specificity. The sensitivity and specificity of the ELISA assay. The curve of positive patients (3 randomly selected samples) was in good correspondence with the curve for the positive control blood sample, and the similar result was found in negative samples. There was a great difference in response between patients positive and those negative to the M2-AAB. ELISA result: A total of 31.7% (19/60) of the severe preeclampsia group, 10.0% (6/60) (p = 0.006) of the normal pregnant group, and 8.3% (5/60) (p = 0.002) of non-pregnant controls were sera positive for M2-AAB. The geometric mean titer of the M2-AAB was significantly higher in the severe preeclampsia group (1:128) compared to the normal pregnant group (1:44) and to the non-pregnant controls (1:40) (p < 0.001 for both) (Figure 2). Frequencies and titers of autoantibodies among the three groups. Panel A: Frequencies of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. Panel B: Geometric mean titers of M2-AAB was significantly higher in women with severe preeclampsia than in the normal pregnant women and non-pregnant controls. *p < 0.05: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls; ***p < 0.001: women with severe preeclampsia compared to normal pregnant women and non-pregnant controls. M2-AAB: autoantibodies against M2-muscarinic receptors; SPE: severe preeclampsia; NP: normal pregnant; NC: non-pregnant control. The association of M2-AAB and clinical outcomes: Unadjusted odds ratios were used to estimate the association of M2-AAB with pregnancy complications, fetal distress, preterm birth, neonatal asphyxia, and perinatal death among women with severe preeclampsia. Positivity for M2-AAB was associated with pregnancy complications (OR, 3.6; 95%CI, 1.0-12.6; p = 0.048), fetal growth restriction (OR, 6.8; 95% CI, 2.0-23.0; p = 0.002), fetal distress (OR, 6.7; 95% CI, 1.7-26.6; p = 0.007), low Apgar score (OR, 5.3; 95% CI, 1.4-20.7; p = 0.017), and perinatal death (OR, 4.3; 95% CI, 1.0-17.6; p = 0.044). Discussion: Main findings In this study we demonstrated, for the first time, that positivity for M2-AAB is closely associated with severe preeclampsia. The frequencies and titers of M2-AAB were significantly higher in the severe preeclampsia group, when compared to normal pregnant women and non-pregnant healthy controls. The presence of M2-AAB in women with severe preeclampsia was associated with both adverse maternal and perinatal clinical outcomes, including pregnancy complications, fetal distress, fetal growth restriction, low Apgar score and perinatal death. In this study we demonstrated, for the first time, that positivity for M2-AAB is closely associated with severe preeclampsia. The frequencies and titers of M2-AAB were significantly higher in the severe preeclampsia group, when compared to normal pregnant women and non-pregnant healthy controls. The presence of M2-AAB in women with severe preeclampsia was associated with both adverse maternal and perinatal clinical outcomes, including pregnancy complications, fetal distress, fetal growth restriction, low Apgar score and perinatal death. Immune mechanisms in preeclampsia The pathogenesis of preeclampsia remains obscure, but is likely multifactorial and involves abnormal placentation, reduced placental perfusion, endothelial cell dysfunction, and systemic vasospasm [22]. An immune mechanism has long been postulated as playing a role in the pathogenesis of preeclampsia. Immune maladaptation may impair invasion of spiral arteries by endovascular cytotrophoblast cells [23]. Studies have suggested that repeated exposure to sperm from a particular male partner prior to pregnancy promotes immune tolerance and reduces the risk of defective trophoblast invasion [24]. Autoantibodies, such as anticardiolipin and anti-β2-glycoprotein-1 antibody, have been detected in preeclampsia patients [25]. Since the first report was published that described the presence of AT1-AAB in preeclampsia patients [4], researchers have gained a greater understanding of the pathogenic mechanisms underlying preeclampsia, which implicate the immune system. Recently we found an obvious increase in the frequency of autoantibodies against adrenergic receptors, such as β1, β2, and α1, in patients with severe preeclampsia with obscure mechanisms [9]. The pathogenesis of preeclampsia remains obscure, but is likely multifactorial and involves abnormal placentation, reduced placental perfusion, endothelial cell dysfunction, and systemic vasospasm [22]. An immune mechanism has long been postulated as playing a role in the pathogenesis of preeclampsia. Immune maladaptation may impair invasion of spiral arteries by endovascular cytotrophoblast cells [23]. Studies have suggested that repeated exposure to sperm from a particular male partner prior to pregnancy promotes immune tolerance and reduces the risk of defective trophoblast invasion [24]. Autoantibodies, such as anticardiolipin and anti-β2-glycoprotein-1 antibody, have been detected in preeclampsia patients [25]. Since the first report was published that described the presence of AT1-AAB in preeclampsia patients [4], researchers have gained a greater understanding of the pathogenic mechanisms underlying preeclampsia, which implicate the immune system. Recently we found an obvious increase in the frequency of autoantibodies against adrenergic receptors, such as β1, β2, and α1, in patients with severe preeclampsia with obscure mechanisms [9]. Autoantibodies and preeclampsia While our results need to be confirmed by larger studies, there are biologically plausible mechanisms by which M2-AAB may lead to severe preeclampsia. The M2 receptor is primarily expressed in the heart (in human and other mammalian species), and its activation results in negative chronotropic and inotropic effects by inhibiting adenylyl cyclase, decreasing intracellular cAMP, and reducing L-type Ca2+ currents. Previous studies from our group and others have demonstrated that M2-AAB display “agonistic activity” against their target receptors resulting in myocardial injury and cardiac dysfunction. Studies have shown that the risk of long-term sequelae, such as chronic hypertension, ischemic heart disease, stroke, and venous thromboembolism are significantly increased in women with preeclampsia [26,27]. In this study, we were able to collect blood samples from ten of the sixty patients with severe preeclampsia at the end of puerperium, without a scheduled follow-up. Three of the ten samples were positive for M2-AAB at titers similar to the levels at the time of recruitment. This is similar to what has been observed for autoantibodies against adrenergic receptors [9]. We infer that the presence of autoantibodies might be correlated to a high risk for cardiovascular sequelae, however this hypothesis needs further exploration. Frequencies and titers of M2-AAB were significantly higher in the severe preeclampsia group than in the normal pregnant women and non-pregnant control groups. Therefore, we hypothesize that there may be a relationship between the presence of M2-AAB and the development of severe preeclampsia. Alternatively, it is plausible that severe preeclampsia triggers the production of M2-AAB. Further studies are needed to clarify the association between M2-AAB and the development of severe preeclampsia. While our results need to be confirmed by larger studies, there are biologically plausible mechanisms by which M2-AAB may lead to severe preeclampsia. The M2 receptor is primarily expressed in the heart (in human and other mammalian species), and its activation results in negative chronotropic and inotropic effects by inhibiting adenylyl cyclase, decreasing intracellular cAMP, and reducing L-type Ca2+ currents. Previous studies from our group and others have demonstrated that M2-AAB display “agonistic activity” against their target receptors resulting in myocardial injury and cardiac dysfunction. Studies have shown that the risk of long-term sequelae, such as chronic hypertension, ischemic heart disease, stroke, and venous thromboembolism are significantly increased in women with preeclampsia [26,27]. In this study, we were able to collect blood samples from ten of the sixty patients with severe preeclampsia at the end of puerperium, without a scheduled follow-up. Three of the ten samples were positive for M2-AAB at titers similar to the levels at the time of recruitment. This is similar to what has been observed for autoantibodies against adrenergic receptors [9]. We infer that the presence of autoantibodies might be correlated to a high risk for cardiovascular sequelae, however this hypothesis needs further exploration. Frequencies and titers of M2-AAB were significantly higher in the severe preeclampsia group than in the normal pregnant women and non-pregnant control groups. Therefore, we hypothesize that there may be a relationship between the presence of M2-AAB and the development of severe preeclampsia. Alternatively, it is plausible that severe preeclampsia triggers the production of M2-AAB. Further studies are needed to clarify the association between M2-AAB and the development of severe preeclampsia. Limitations There are limitations that should be considered when interpreting our results. First, this case–control study, like all case–control studies, there is always that possibility of selection bias. We included two groups of controls who were age-matched to the cases and were randomly selected from the sample population. This would minimize selection bias. Second, our analyses were unadjusted for potential confounders. While this is unlikely, it is possible that the associations observe could be the result of an unknown confounder. Third, while the association between M2-AAB and severe preeclampsia is biologically plausible, we are careful to point out that association is not necessarily causality. Further studies will be needed to elucidate a causal role of M2-AAB in severe preeclampsia. However, the association between M2-AAB and adverse perinatal outcomes among women with severe preeclampsia is suggestive of a causal role. Fourth, as we didn’t include a group of mild preeclampsia patients, the relation between severity of preeclampsia and the antibody titer was unknown. Besides, maybe gestational age affects the antibody titer more than maternal age does. We collect blood samples of patients that were admitted to Beijing Chao-Yang Hospital during prepartum period and the gestational age was significant increased in the normal pregnant women. Finally, only serum M2-AAB was detected. Further studies that examine the biological activity of M2-AAB, as well as M2 receptors in the placenta and umbilical vessels, are needed. There are limitations that should be considered when interpreting our results. First, this case–control study, like all case–control studies, there is always that possibility of selection bias. We included two groups of controls who were age-matched to the cases and were randomly selected from the sample population. This would minimize selection bias. Second, our analyses were unadjusted for potential confounders. While this is unlikely, it is possible that the associations observe could be the result of an unknown confounder. Third, while the association between M2-AAB and severe preeclampsia is biologically plausible, we are careful to point out that association is not necessarily causality. Further studies will be needed to elucidate a causal role of M2-AAB in severe preeclampsia. However, the association between M2-AAB and adverse perinatal outcomes among women with severe preeclampsia is suggestive of a causal role. Fourth, as we didn’t include a group of mild preeclampsia patients, the relation between severity of preeclampsia and the antibody titer was unknown. Besides, maybe gestational age affects the antibody titer more than maternal age does. We collect blood samples of patients that were admitted to Beijing Chao-Yang Hospital during prepartum period and the gestational age was significant increased in the normal pregnant women. Finally, only serum M2-AAB was detected. Further studies that examine the biological activity of M2-AAB, as well as M2 receptors in the placenta and umbilical vessels, are needed. Main findings: In this study we demonstrated, for the first time, that positivity for M2-AAB is closely associated with severe preeclampsia. The frequencies and titers of M2-AAB were significantly higher in the severe preeclampsia group, when compared to normal pregnant women and non-pregnant healthy controls. The presence of M2-AAB in women with severe preeclampsia was associated with both adverse maternal and perinatal clinical outcomes, including pregnancy complications, fetal distress, fetal growth restriction, low Apgar score and perinatal death. Immune mechanisms in preeclampsia: The pathogenesis of preeclampsia remains obscure, but is likely multifactorial and involves abnormal placentation, reduced placental perfusion, endothelial cell dysfunction, and systemic vasospasm [22]. An immune mechanism has long been postulated as playing a role in the pathogenesis of preeclampsia. Immune maladaptation may impair invasion of spiral arteries by endovascular cytotrophoblast cells [23]. Studies have suggested that repeated exposure to sperm from a particular male partner prior to pregnancy promotes immune tolerance and reduces the risk of defective trophoblast invasion [24]. Autoantibodies, such as anticardiolipin and anti-β2-glycoprotein-1 antibody, have been detected in preeclampsia patients [25]. Since the first report was published that described the presence of AT1-AAB in preeclampsia patients [4], researchers have gained a greater understanding of the pathogenic mechanisms underlying preeclampsia, which implicate the immune system. Recently we found an obvious increase in the frequency of autoantibodies against adrenergic receptors, such as β1, β2, and α1, in patients with severe preeclampsia with obscure mechanisms [9]. Autoantibodies and preeclampsia: While our results need to be confirmed by larger studies, there are biologically plausible mechanisms by which M2-AAB may lead to severe preeclampsia. The M2 receptor is primarily expressed in the heart (in human and other mammalian species), and its activation results in negative chronotropic and inotropic effects by inhibiting adenylyl cyclase, decreasing intracellular cAMP, and reducing L-type Ca2+ currents. Previous studies from our group and others have demonstrated that M2-AAB display “agonistic activity” against their target receptors resulting in myocardial injury and cardiac dysfunction. Studies have shown that the risk of long-term sequelae, such as chronic hypertension, ischemic heart disease, stroke, and venous thromboembolism are significantly increased in women with preeclampsia [26,27]. In this study, we were able to collect blood samples from ten of the sixty patients with severe preeclampsia at the end of puerperium, without a scheduled follow-up. Three of the ten samples were positive for M2-AAB at titers similar to the levels at the time of recruitment. This is similar to what has been observed for autoantibodies against adrenergic receptors [9]. We infer that the presence of autoantibodies might be correlated to a high risk for cardiovascular sequelae, however this hypothesis needs further exploration. Frequencies and titers of M2-AAB were significantly higher in the severe preeclampsia group than in the normal pregnant women and non-pregnant control groups. Therefore, we hypothesize that there may be a relationship between the presence of M2-AAB and the development of severe preeclampsia. Alternatively, it is plausible that severe preeclampsia triggers the production of M2-AAB. Further studies are needed to clarify the association between M2-AAB and the development of severe preeclampsia. Limitations: There are limitations that should be considered when interpreting our results. First, this case–control study, like all case–control studies, there is always that possibility of selection bias. We included two groups of controls who were age-matched to the cases and were randomly selected from the sample population. This would minimize selection bias. Second, our analyses were unadjusted for potential confounders. While this is unlikely, it is possible that the associations observe could be the result of an unknown confounder. Third, while the association between M2-AAB and severe preeclampsia is biologically plausible, we are careful to point out that association is not necessarily causality. Further studies will be needed to elucidate a causal role of M2-AAB in severe preeclampsia. However, the association between M2-AAB and adverse perinatal outcomes among women with severe preeclampsia is suggestive of a causal role. Fourth, as we didn’t include a group of mild preeclampsia patients, the relation between severity of preeclampsia and the antibody titer was unknown. Besides, maybe gestational age affects the antibody titer more than maternal age does. We collect blood samples of patients that were admitted to Beijing Chao-Yang Hospital during prepartum period and the gestational age was significant increased in the normal pregnant women. Finally, only serum M2-AAB was detected. Further studies that examine the biological activity of M2-AAB, as well as M2 receptors in the placenta and umbilical vessels, are needed. Conclusion: This study demonstrates the prevalence of M2-AAB in a cohort of women with severe preeclampsia. Risks of both maternal and perinatal complications are significantly increased when M2-AAB is present. M2-AAB may participate in the pathogenesis of severe preeclampsia and have clinical value for predicting complications. Competing interests: The authors declare that they have no competing interests. Authors’ contributions: YFL, GLM, ZYZ and YY carried out the case, blood sample and clinical data collection. GLM and YDW carried out the immunoassay. GLM and GBM performed the analysis and interpretation of data. GLM and YTY were involved in drafting part of the manuscript. LZ contributed the whole study and participated in the design and coordination of this project as well as manuscript writing. All authors reviewed and approved the final manuscript.
Background: The goal of this study was to test the hypothesis that autoantibodies against M2-muscarinic acetylcholine receptor (M2-AAB) are associated with severe preeclampsia and increased risk of adverse perinatal outcomes. Methods: We conducted a case-control study comparing 60 women with severe preeclampsia to 60 women with normal pregnancy and 60 non-pregnant controls. A peptide, corresponding to amino acid sequences of the second extracellular loops of the M2 receptor, was synthesized as antigen to test for the presence of autoantibodies, using an enzyme-linked immunosorbent assay. The frequency and titer of M2-AAB were compared in the 3 groups. The risk of adverse perinatal outcomes among women with severe preeclampsia in the presence of M2-AAB was estimated. Results: M2-AAB were positive in 31.7% (19/60) of patients with severe preeclampsia, in 10.0% (6/60) (p=0.006) of normal pregnant women and in 8.3% (5/60) (p=0.002) of non-pregnant controls. The presence of M2-AAB was associated with increased risk of adverse pregnancy complications (OR, 3.6; 95%CI, 1.0-12.6; p=0.048), fetal growth restriction (OR, 6.8; 95% CI, 2.0-23.0; p=0.002), fetal distress (OR, 6.7; 95% CI, 1.7-26.6; p=0.007), low Apgar score (OR, 5.3; 95% CI, 1.4-20.7; p=0.017), and perinatal death (OR, 4.3; 95% CI, 1.0-17.6; p=0.044) among women with severe preeclampsia. Conclusions: This study demonstrates, for the first time, an increase in M2-AAB in patients with severe preeclampsia. Women with severe preeclampsia who are M2-AAB positive are at increased risk for neonatal mortality and morbidity. We posit that M2-AAB may be involved in the pathogenesis of severe preeclampsia.
Background: Preeclampsia is a pregnancy-specific syndrome characterized by hypertension and proteinuria. It occurs in 3-5% pregnancies and leads to high maternal and fetal morbidity and mortality [1]. Research has shown that preeclampsia is a multi-systemic syndrome with complex pathophysiological changes, such as endothelial dysfunction, inflammatory response, activation of the coagulation system and metabolic changes [2]. In serious cases, termination of pregnancy is the only available option to prevent further deterioration of the fetus and mother [3]. To date, the underlying mechanisms responsible for the pathogenesis of preeclampsia remain unknown. In recent years, evidence has accumulated suggesting that autoimmunity plays a role in the pathogenesis of preeclampsia. Numerous studies have shown that women with preeclampsia possess autoantibodies against angiotensin II type 1 receptors (AT1-AAB), which bind to and activate the AT1 receptor, thus provoking biological responses relevant to the pathogenesis of preeclampsia [4-8]. Recently, we found an obvious increase in the frequency of autoantibodies against adrenergic receptors, such as β1, β2, and α1, in patients with severe preeclampsia [9]. Previous studies have described the role of autoantibodies against M2-muscarinic receptors (M2-AAB) in several kinds of cardiovascular disease, such as Chagas disease, hypertensive heart disease, idiopathic dilated cardiomyopathy and atrial fibrillation [10-16]. Therefore, the aim of this study was to test the hypothesis M2-AAB are associated with severe preeclampsia and increased risk of adverse perinatal outcomes. A synthetic peptide, corresponding to the amino acid sequence of the second extracellular loop of the human M2 receptor, was used to test sera from patients with severe preeclampsia, normal pregnant women, and non-pregnant controls. We compared the frequency of M2-AAB among the three groups. The relationship between M2-AAB and perinatal mortality and morbidity, was also investigated. Conclusion: This study demonstrates the prevalence of M2-AAB in a cohort of women with severe preeclampsia. Risks of both maternal and perinatal complications are significantly increased when M2-AAB is present. M2-AAB may participate in the pathogenesis of severe preeclampsia and have clinical value for predicting complications.
Background: The goal of this study was to test the hypothesis that autoantibodies against M2-muscarinic acetylcholine receptor (M2-AAB) are associated with severe preeclampsia and increased risk of adverse perinatal outcomes. Methods: We conducted a case-control study comparing 60 women with severe preeclampsia to 60 women with normal pregnancy and 60 non-pregnant controls. A peptide, corresponding to amino acid sequences of the second extracellular loops of the M2 receptor, was synthesized as antigen to test for the presence of autoantibodies, using an enzyme-linked immunosorbent assay. The frequency and titer of M2-AAB were compared in the 3 groups. The risk of adverse perinatal outcomes among women with severe preeclampsia in the presence of M2-AAB was estimated. Results: M2-AAB were positive in 31.7% (19/60) of patients with severe preeclampsia, in 10.0% (6/60) (p=0.006) of normal pregnant women and in 8.3% (5/60) (p=0.002) of non-pregnant controls. The presence of M2-AAB was associated with increased risk of adverse pregnancy complications (OR, 3.6; 95%CI, 1.0-12.6; p=0.048), fetal growth restriction (OR, 6.8; 95% CI, 2.0-23.0; p=0.002), fetal distress (OR, 6.7; 95% CI, 1.7-26.6; p=0.007), low Apgar score (OR, 5.3; 95% CI, 1.4-20.7; p=0.017), and perinatal death (OR, 4.3; 95% CI, 1.0-17.6; p=0.044) among women with severe preeclampsia. Conclusions: This study demonstrates, for the first time, an increase in M2-AAB in patients with severe preeclampsia. Women with severe preeclampsia who are M2-AAB positive are at increased risk for neonatal mortality and morbidity. We posit that M2-AAB may be involved in the pathogenesis of severe preeclampsia.
10,999
363
[ 358, 446, 211, 394, 144, 147, 541, 199, 251, 154, 94, 194, 327, 277, 10, 80 ]
20
[ "preeclampsia", "severe", "severe preeclampsia", "m2", "pregnant", "aab", "m2 aab", "group", "women", "60" ]
[ "pathogenesis preeclampsia immune", "mechanisms underlying preeclampsia", "mechanisms pathogenesis preeclampsia", "autoantibodies preeclampsia results", "autoantibodies preeclampsia" ]
[CONTENT] Pregnancy | Hypertension | Antibodies [SUMMARY]
[CONTENT] Pregnancy | Hypertension | Antibodies [SUMMARY]
[CONTENT] Pregnancy | Hypertension | Antibodies [SUMMARY]
[CONTENT] Pregnancy | Hypertension | Antibodies [SUMMARY]
[CONTENT] Pregnancy | Hypertension | Antibodies [SUMMARY]
[CONTENT] Pregnancy | Hypertension | Antibodies [SUMMARY]
[CONTENT] Adult | Amino Acid Sequence | Autoantibodies | Case-Control Studies | Enzyme-Linked Immunosorbent Assay | Female | Humans | Molecular Sequence Data | Pre-Eclampsia | Pregnancy | Pregnancy Outcome | Receptor, Muscarinic M2 | Sensitivity and Specificity | Severity of Illness Index [SUMMARY]
[CONTENT] Adult | Amino Acid Sequence | Autoantibodies | Case-Control Studies | Enzyme-Linked Immunosorbent Assay | Female | Humans | Molecular Sequence Data | Pre-Eclampsia | Pregnancy | Pregnancy Outcome | Receptor, Muscarinic M2 | Sensitivity and Specificity | Severity of Illness Index [SUMMARY]
[CONTENT] Adult | Amino Acid Sequence | Autoantibodies | Case-Control Studies | Enzyme-Linked Immunosorbent Assay | Female | Humans | Molecular Sequence Data | Pre-Eclampsia | Pregnancy | Pregnancy Outcome | Receptor, Muscarinic M2 | Sensitivity and Specificity | Severity of Illness Index [SUMMARY]
[CONTENT] Adult | Amino Acid Sequence | Autoantibodies | Case-Control Studies | Enzyme-Linked Immunosorbent Assay | Female | Humans | Molecular Sequence Data | Pre-Eclampsia | Pregnancy | Pregnancy Outcome | Receptor, Muscarinic M2 | Sensitivity and Specificity | Severity of Illness Index [SUMMARY]
[CONTENT] Adult | Amino Acid Sequence | Autoantibodies | Case-Control Studies | Enzyme-Linked Immunosorbent Assay | Female | Humans | Molecular Sequence Data | Pre-Eclampsia | Pregnancy | Pregnancy Outcome | Receptor, Muscarinic M2 | Sensitivity and Specificity | Severity of Illness Index [SUMMARY]
[CONTENT] Adult | Amino Acid Sequence | Autoantibodies | Case-Control Studies | Enzyme-Linked Immunosorbent Assay | Female | Humans | Molecular Sequence Data | Pre-Eclampsia | Pregnancy | Pregnancy Outcome | Receptor, Muscarinic M2 | Sensitivity and Specificity | Severity of Illness Index [SUMMARY]
[CONTENT] pathogenesis preeclampsia immune | mechanisms underlying preeclampsia | mechanisms pathogenesis preeclampsia | autoantibodies preeclampsia results | autoantibodies preeclampsia [SUMMARY]
[CONTENT] pathogenesis preeclampsia immune | mechanisms underlying preeclampsia | mechanisms pathogenesis preeclampsia | autoantibodies preeclampsia results | autoantibodies preeclampsia [SUMMARY]
[CONTENT] pathogenesis preeclampsia immune | mechanisms underlying preeclampsia | mechanisms pathogenesis preeclampsia | autoantibodies preeclampsia results | autoantibodies preeclampsia [SUMMARY]
[CONTENT] pathogenesis preeclampsia immune | mechanisms underlying preeclampsia | mechanisms pathogenesis preeclampsia | autoantibodies preeclampsia results | autoantibodies preeclampsia [SUMMARY]
[CONTENT] pathogenesis preeclampsia immune | mechanisms underlying preeclampsia | mechanisms pathogenesis preeclampsia | autoantibodies preeclampsia results | autoantibodies preeclampsia [SUMMARY]
[CONTENT] pathogenesis preeclampsia immune | mechanisms underlying preeclampsia | mechanisms pathogenesis preeclampsia | autoantibodies preeclampsia results | autoantibodies preeclampsia [SUMMARY]
[CONTENT] preeclampsia | severe | severe preeclampsia | m2 | pregnant | aab | m2 aab | group | women | 60 [SUMMARY]
[CONTENT] preeclampsia | severe | severe preeclampsia | m2 | pregnant | aab | m2 aab | group | women | 60 [SUMMARY]
[CONTENT] preeclampsia | severe | severe preeclampsia | m2 | pregnant | aab | m2 aab | group | women | 60 [SUMMARY]
[CONTENT] preeclampsia | severe | severe preeclampsia | m2 | pregnant | aab | m2 aab | group | women | 60 [SUMMARY]
[CONTENT] preeclampsia | severe | severe preeclampsia | m2 | pregnant | aab | m2 aab | group | women | 60 [SUMMARY]
[CONTENT] preeclampsia | severe | severe preeclampsia | m2 | pregnant | aab | m2 aab | group | women | 60 [SUMMARY]
[CONTENT] preeclampsia | m2 | pathogenesis preeclampsia | pathogenesis | disease | changes | syndrome | mortality | morbidity | aab [SUMMARY]
[CONTENT] 20 | 37 | samples | medical | hour 37 | hour | pbs | fetal | study | negative [SUMMARY]
[CONTENT] group | 60 | pregnant | 001 | normal pregnant | normal pregnant group | pregnant group | versus | normal | severe preeclampsia group [SUMMARY]
[CONTENT] m2 aab | m2 | aab | complications | cohort | m2 aab present m2 | cohort women severe preeclampsia | cohort women severe | cohort women | severe preeclampsia clinical value [SUMMARY]
[CONTENT] preeclampsia | m2 | m2 aab | aab | severe | severe preeclampsia | group | pregnant | 60 | women [SUMMARY]
[CONTENT] preeclampsia | m2 | m2 aab | aab | severe | severe preeclampsia | group | pregnant | 60 | women [SUMMARY]
[CONTENT] M2 | M2 | preeclampsia [SUMMARY]
[CONTENT] 60 | 60 | 60 ||| second | M2 ||| M2 | 3 ||| M2 [SUMMARY]
[CONTENT] M2 | 31.7% | 19/60 | preeclampsia | 10.0% | 6/60 | 8.3% | 5/60 ||| M2 | 3.6 | 95%CI | 1.0-12.6 | 6.8 | 95% | CI | 2.0 | 6.7 | 95% | CI | 1.7 | Apgar | 5.3 | 95% | CI | 1.4 | 4.3 | 95% | CI | 1.0 | preeclampsia [SUMMARY]
[CONTENT] first | M2 | preeclampsia ||| M2 ||| M2 | preeclampsia [SUMMARY]
[CONTENT] M2 | M2 | preeclampsia ||| 60 | 60 | 60 ||| second | M2 ||| M2 | 3 ||| M2 ||| M2-AAB | 31.7% | 19/60 | preeclampsia | 10.0% | 6/60 | 8.3% | 5/60 ||| M2 | 3.6 | 95%CI | 1.0-12.6 | 6.8 | 95% | CI | 2.0 | 6.7 | 95% | CI | 1.7 | Apgar | 5.3 | 95% | CI | 1.4 | 4.3 | 95% | CI | 1.0 | preeclampsia ||| first | M2 | preeclampsia ||| M2 ||| M2 | preeclampsia [SUMMARY]
[CONTENT] M2 | M2 | preeclampsia ||| 60 | 60 | 60 ||| second | M2 ||| M2 | 3 ||| M2 ||| M2-AAB | 31.7% | 19/60 | preeclampsia | 10.0% | 6/60 | 8.3% | 5/60 ||| M2 | 3.6 | 95%CI | 1.0-12.6 | 6.8 | 95% | CI | 2.0 | 6.7 | 95% | CI | 1.7 | Apgar | 5.3 | 95% | CI | 1.4 | 4.3 | 95% | CI | 1.0 | preeclampsia ||| first | M2 | preeclampsia ||| M2 ||| M2 | preeclampsia [SUMMARY]
Pneumococcal vertebral osteomyelitis at three teaching hospitals in Japan, 2003-2011: analysis of 14 cases and a review of the literature.
24209735
Pneumococcal vertebral osteomyelitis (PVO) is a rare disease whose clinical characteristics have not been clarified. This study aimed to investigate the clinical features and outcomes of patients with PVO.
BACKGROUND
We retrospectively evaluated all adult patients diagnosed with PVO at three teaching hospitals in Japan from January 2003 to December 2011. All cases were identified through a review of the medical records of patients with invasive pneumococcal disease (IPD).
METHODS
Among 208 patients with IPD, we identified 14 with PVO (6.4%; 95% CI, 3.5-10%). All 14 patients (nine male, five female; median age 69 years) had acquired PVO outside the hospital and had no recent history of an invasive procedure or back injury. Five patients (36%) had diabetes mellitus, and four (29%) had heavy alcohol intake. Fever (n = 13; 93%) or back pain/neck pain (n = 12; 86%) were present in most patients. The lumbar spine was affected in nine patients (64%) but the cervical spine was the site of infection in four patients (29%). All patients except one had a positive blood culture for Streptococcus pneumoniae, and there were no distant infected sites in most patients (n = 10; 71%). Intravenous beta-lactam therapy was initiated within 1 week after the onset of symptoms in 11 patients (79%). No patients died within 30 days, but one patient died from aspiration pneumonia on day 37 after admission.
RESULTS
PVO was relatively common among adult patients with IPD, and mortality was low in this study. S. pneumoniae may be the causative pathogen of vertebral osteomyelitis, especially among community-onset cases without a history of invasive procedures or back injury.
CONCLUSIONS
[ "Adult", "Aged", "Aged, 80 and over", "Discitis", "Female", "Hospitals, Teaching", "Humans", "Japan", "Male", "Middle Aged", "Osteomyelitis", "Pneumococcal Infections", "Retrospective Studies", "Streptococcus pneumoniae" ]
3833677
Background
Streptococcus pneumoniae is an important pathogen that is the main cause of community-acquired pneumonia [1], meningitis [2], sinusitis [3] and otitis media [4]. S. pneumoniae was also the third most common pathogen in bacterial arthritis, identified in 6% of cases [5]. Pneumococcal vertebral osteomyelitis (PVO) is a very rare disease, and the incidence has not been described in previous vertebral osteomyelitis studies [6-8]. In a literature review of 28 cases with pneumococcal spinal infections, Turner et al. [9] reported that most of the patients had symptoms for weeks before diagnosis and that the lumbar spine was the most common site of infection. Severe complications were relatively frequent (endocarditis 4/28, 14%; meningitis 5/28, 18%), and mortality was high (7/28, 25%) [9]. However, these epidemiological data were derived from case reports, which included cases published more than 50 years ago. Currently, there are few clinical studies of PVO available because of the rare incidence of the infection. In this study, we set out to determine the clinical epidemiology of patients with PVO in a 9-year retrospective review of cases of invasive pneumococcal disease (IPD) at three teaching hospitals with tertiary emergency medical centers in Japan.
Methods
Patients All adult patients with IPD who were admitted to Seirei Mikatahara General Hospital (SMGH, 934 beds), Seirei Hamamatsu General Hospital (SHGH, 744 beds), and Tsukuba Medical Center Hospital (TMCH, 409 beds) from January 2003 to December 2011 were retrospectively reviewed. Patients with IPD were identified from a review of the microbiological records of S. pneumoniae detection in samples of blood, cerebrospinal fluid, joint fluid, or pus from the abscess obtained by aseptic techniques. The exclusion criteria were: (1) age ≤17 years; (2) a previous history of IPD; (3) concurrent detection of other pathogenic bacteria from aseptic sites; and (4) patient refusal, as written in the medical chart, to provide personal information for out-of-care purposes. PVO was identified if the blood culture or the pus aspirated from the intervertebral disk space, or paravertebral, epidural or psoas abscesses was positive for S. pneumonia. Vertebral osteomyelitis was confirmed by magnetic resonance imaging (MRI) or equivalent imaging methods in the radiologist’s official report [10]. All adult patients with IPD who were admitted to Seirei Mikatahara General Hospital (SMGH, 934 beds), Seirei Hamamatsu General Hospital (SHGH, 744 beds), and Tsukuba Medical Center Hospital (TMCH, 409 beds) from January 2003 to December 2011 were retrospectively reviewed. Patients with IPD were identified from a review of the microbiological records of S. pneumoniae detection in samples of blood, cerebrospinal fluid, joint fluid, or pus from the abscess obtained by aseptic techniques. The exclusion criteria were: (1) age ≤17 years; (2) a previous history of IPD; (3) concurrent detection of other pathogenic bacteria from aseptic sites; and (4) patient refusal, as written in the medical chart, to provide personal information for out-of-care purposes. PVO was identified if the blood culture or the pus aspirated from the intervertebral disk space, or paravertebral, epidural or psoas abscesses was positive for S. pneumonia. Vertebral osteomyelitis was confirmed by magnetic resonance imaging (MRI) or equivalent imaging methods in the radiologist’s official report [10]. Data collection Medical records, nursing databases, and microbiological records from each hospital were reviewed by physicians qualified as Fellows of the Japanese Society of Internal Medicine, and all decisions were based on consensus. The demographic and background data extracted from patient records included the following: age; sex; body weight; area of residence; functional capacity according to activities of daily living (ADL) before onset of pneumococcal bacteremia (Katz index [11]); comorbidities and the Charlson comorbidity index [12]; use of immunosuppressants or chemotherapy; administration of antimicrobial agents before obtaining samples for blood culture; extent of tobacco and alcohol intake; seasonality; presence of fever, neck or back pain; time from onset of symptoms until treatment; and preceding history of trauma, skin infections or respiratory symptoms. Patients receiving immunosuppressants were defined as those receiving more than 1 mg of prednisolone on a daily basis or any other immunosuppressive agent such as azathioprine or methotrexate. Patients with heavy alcohol intake were defined as those who consumed more than 80 g of ethanol daily. The duration of alcohol intake was not considered in this study. Clinical and laboratory data included clinical severity, antimicrobial susceptibilities determined by broth microdilution methods, location of infection sites, complications and other sites of infection, initial antimicrobial agents used, total duration of antibiotic therapy, invasive procedures performed, morbidity and mortality. Clinical severity was classified into sepsis and septic shock based on recently described criteria [13]. Urine output and lactic acid concentrations were not evaluated as criteria for severe sepsis. The prothrombin time international normalized ratio (PT-INR) was considered to be ≤1.5 in cases in which prothrombin time was not determined. Other infective sites including meningitis and infective endocarditis were evaluated based on guidelines or established criteria [14,15]. Pneumonia was considered to be present if a blood culture was positive for S. pneumoniae and a chest X-ray or computed tomography showed infiltration consistent with pneumonia in the lung field. Other infective sources such as septic arthritis, liver abscess, or retropharyngeal abscess were considered to be other sites of infections when contrast-enhanced computed tomography or MRI showed compatible findings in an official radiologist’s report. Outcomes were assessed by morbidity and mortality. Morbidity was defined by the presence of any disorder reducing ADL capacity (Katz Index) at discharge compared with ADL before admission. Mortality was evaluated at 14 and 30 days. Medical records, nursing databases, and microbiological records from each hospital were reviewed by physicians qualified as Fellows of the Japanese Society of Internal Medicine, and all decisions were based on consensus. The demographic and background data extracted from patient records included the following: age; sex; body weight; area of residence; functional capacity according to activities of daily living (ADL) before onset of pneumococcal bacteremia (Katz index [11]); comorbidities and the Charlson comorbidity index [12]; use of immunosuppressants or chemotherapy; administration of antimicrobial agents before obtaining samples for blood culture; extent of tobacco and alcohol intake; seasonality; presence of fever, neck or back pain; time from onset of symptoms until treatment; and preceding history of trauma, skin infections or respiratory symptoms. Patients receiving immunosuppressants were defined as those receiving more than 1 mg of prednisolone on a daily basis or any other immunosuppressive agent such as azathioprine or methotrexate. Patients with heavy alcohol intake were defined as those who consumed more than 80 g of ethanol daily. The duration of alcohol intake was not considered in this study. Clinical and laboratory data included clinical severity, antimicrobial susceptibilities determined by broth microdilution methods, location of infection sites, complications and other sites of infection, initial antimicrobial agents used, total duration of antibiotic therapy, invasive procedures performed, morbidity and mortality. Clinical severity was classified into sepsis and septic shock based on recently described criteria [13]. Urine output and lactic acid concentrations were not evaluated as criteria for severe sepsis. The prothrombin time international normalized ratio (PT-INR) was considered to be ≤1.5 in cases in which prothrombin time was not determined. Other infective sites including meningitis and infective endocarditis were evaluated based on guidelines or established criteria [14,15]. Pneumonia was considered to be present if a blood culture was positive for S. pneumoniae and a chest X-ray or computed tomography showed infiltration consistent with pneumonia in the lung field. Other infective sources such as septic arthritis, liver abscess, or retropharyngeal abscess were considered to be other sites of infections when contrast-enhanced computed tomography or MRI showed compatible findings in an official radiologist’s report. Outcomes were assessed by morbidity and mortality. Morbidity was defined by the presence of any disorder reducing ADL capacity (Katz Index) at discharge compared with ADL before admission. Mortality was evaluated at 14 and 30 days. Statistical analysis We compared the clinical characteristics of patients with PVO with those of patients with other IPD. Categorical variables were analyzed by the χ2 test or Fisher’s exact test as appropriate. Continuous variables were compared using the Student t test. The SPSS software package (version 20, IBM, Armonk, NY, USA) was used for all analyses. Statistical significance was defined as a two-tailed p value <0.05. For the detection rate of PVO among IPD, we computed exact confidence intervals for a proportion from the binomial distributions. We compared the clinical characteristics of patients with PVO with those of patients with other IPD. Categorical variables were analyzed by the χ2 test or Fisher’s exact test as appropriate. Continuous variables were compared using the Student t test. The SPSS software package (version 20, IBM, Armonk, NY, USA) was used for all analyses. Statistical significance was defined as a two-tailed p value <0.05. For the detection rate of PVO among IPD, we computed exact confidence intervals for a proportion from the binomial distributions. Ethical considerations This study was approved by the ethics committees of Seirei Mikatahara General Hospital, Seirei Hamamatsu General Hospital and Tsukuba Medical Center Hospital. This study was approved by the ethics committees of Seirei Mikatahara General Hospital, Seirei Hamamatsu General Hospital and Tsukuba Medical Center Hospital.
Results
We identified 219 adult IPD patients during the study period, of whom 11 met the exclusion criteria (seven declined non-medical use of personal information, three had concurrent detection of other pathogenic bacteria, and one was a recurrent case). Therefore, data from 208 cases were reviewed for infective sources. This resulted in identification of 14 patients (6.4%; 95% CI, 3.5–10%) with PVO, followed by 129 with pneumonia or empyema, 25 with primary bacteremia, 23 with meningitis, seven with joint infections and 10 with other infections. Clinical characteristics and outcomes The characteristics and demographic data of the 14 patients with PVO are summarized in Table 1. The median age was 69 years (range, 35–88 years) and five (36%) were women. Compared with patients with other IPDs, heavy alcohol intake was significantly more prevalent in patients with PVO (29% vs. 6%, P = 0.02). Diabetes mellitus was also common among patients with PVO (36%), although its prevalence was not significantly greater than that in IPD cases (19%). No patient was infected with HIV, or had a history of skin infections, invasive procedures or trauma. Only one patient had respiratory symptoms complicated by pneumonia and no patient presented with influenza. While cases of other IPDs were relatively frequent during the winter season (between December and March), this trend was not seen in the PVO group (50% vs. 14% for winter occurrences, P = 0.01). Demographic data for cases of pneumococcal vertebral osteomyelitis and comparison with other invasive pneumococcal disease ADL: activities of daily living. (a) One patient died of aspiration pneumonia during hospitalization on day 37. Regarding clinical symptoms, fever was noted in 13 patients (93%) and a history of neck or back pain was noted in 12 patients (86%). Two patients without neck or back pain were identified as possible PVO cases by computed tomography before systemic investigation of pneumococcal bacteremia, and the diagnosis was later confirmed by MRI. Most patients (11/14; 79%) received effective antimicrobial therapy within 7 days after onset of suspected symptoms. Only one patient was diagnosed at 1 month after onset, and this patient subsequently developed endocarditis and required an operation. All patients were hospitalized for treatment and seven patients (50%) presented with severe sepsis, but no patient developed septic shock (Table 1). Drug susceptibility to penicillin G (minimum inhibitory concentration (MIC) ≤ 2 μg/mL) and levofloxacin (MIC ≤ 2 μg/mL) was preserved in all strains. The lumbar spine (n = 9, 64%) was the most commonly infected site and half of the patients with PVO had an epidural abscess detected by MRI (Table 2). Two patients had other joint infections and one patient had an infection in the sternum. Other sources of infection (each n = 1) were infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, and meningitis. The diagnosis of most patients (n = 13) was based on the presence of pneumococcal infection by blood cultures, while the diagnosis of one patient was based on the culture of pus obtained from the iliopsoas abscess. Infective sites and complications of pneumococcal vertebral osteomyelitis aThree patients had multifocal infection sites. bOne patient had arthritis of the left shoulder joint and one had arthritis of the left sacroiliac joint. cOther sites of infection (each n = 1) included infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, sinusitis, and meningitis. One patient had both pneumonia and liver abscess along with vertebral osteomyelitis. All patients were treated with β-lactam therapy. Two patients (14%) underwent invasive procedures, including a patient with infective endocarditis who was referred to another acute care hospital for surgery and survived. While 20% (37/182) of patients with other IPDs died within 30 days, none of the patients with PVO died within 30 days. In the patients with PVO, one patient died of aspiration pneumonia on day 37 after admission and three of the survivors (23%) had morbidity at discharge. The characteristics and demographic data of the 14 patients with PVO are summarized in Table 1. The median age was 69 years (range, 35–88 years) and five (36%) were women. Compared with patients with other IPDs, heavy alcohol intake was significantly more prevalent in patients with PVO (29% vs. 6%, P = 0.02). Diabetes mellitus was also common among patients with PVO (36%), although its prevalence was not significantly greater than that in IPD cases (19%). No patient was infected with HIV, or had a history of skin infections, invasive procedures or trauma. Only one patient had respiratory symptoms complicated by pneumonia and no patient presented with influenza. While cases of other IPDs were relatively frequent during the winter season (between December and March), this trend was not seen in the PVO group (50% vs. 14% for winter occurrences, P = 0.01). Demographic data for cases of pneumococcal vertebral osteomyelitis and comparison with other invasive pneumococcal disease ADL: activities of daily living. (a) One patient died of aspiration pneumonia during hospitalization on day 37. Regarding clinical symptoms, fever was noted in 13 patients (93%) and a history of neck or back pain was noted in 12 patients (86%). Two patients without neck or back pain were identified as possible PVO cases by computed tomography before systemic investigation of pneumococcal bacteremia, and the diagnosis was later confirmed by MRI. Most patients (11/14; 79%) received effective antimicrobial therapy within 7 days after onset of suspected symptoms. Only one patient was diagnosed at 1 month after onset, and this patient subsequently developed endocarditis and required an operation. All patients were hospitalized for treatment and seven patients (50%) presented with severe sepsis, but no patient developed septic shock (Table 1). Drug susceptibility to penicillin G (minimum inhibitory concentration (MIC) ≤ 2 μg/mL) and levofloxacin (MIC ≤ 2 μg/mL) was preserved in all strains. The lumbar spine (n = 9, 64%) was the most commonly infected site and half of the patients with PVO had an epidural abscess detected by MRI (Table 2). Two patients had other joint infections and one patient had an infection in the sternum. Other sources of infection (each n = 1) were infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, and meningitis. The diagnosis of most patients (n = 13) was based on the presence of pneumococcal infection by blood cultures, while the diagnosis of one patient was based on the culture of pus obtained from the iliopsoas abscess. Infective sites and complications of pneumococcal vertebral osteomyelitis aThree patients had multifocal infection sites. bOne patient had arthritis of the left shoulder joint and one had arthritis of the left sacroiliac joint. cOther sites of infection (each n = 1) included infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, sinusitis, and meningitis. One patient had both pneumonia and liver abscess along with vertebral osteomyelitis. All patients were treated with β-lactam therapy. Two patients (14%) underwent invasive procedures, including a patient with infective endocarditis who was referred to another acute care hospital for surgery and survived. While 20% (37/182) of patients with other IPDs died within 30 days, none of the patients with PVO died within 30 days. In the patients with PVO, one patient died of aspiration pneumonia on day 37 after admission and three of the survivors (23%) had morbidity at discharge.
Conclusions
Our study suggests that vertebral osteomyelitis may be a relatively common infective site among adult patients with IPD. The mortality in those with PVO could be low with early diagnosis and appropriate management. S. pneumoniae should be considered as the important causative pathogen in vertebral osteomyelitis, especially among community-onset cases without a history of invasive procedures or back injury.
[ "Background", "Patients", "Data collection", "Statistical analysis", "Ethical considerations", "Clinical characteristics and outcomes", "Competing interests", "Authors’ contributions", "Pre-publication history" ]
[ "Streptococcus pneumoniae is an important pathogen that is the main cause of community-acquired pneumonia [1], meningitis [2], sinusitis [3] and otitis media [4]. S. pneumoniae was also the third most common pathogen in bacterial arthritis, identified in 6% of cases [5].\nPneumococcal vertebral osteomyelitis (PVO) is a very rare disease, and the incidence has not been described in previous vertebral osteomyelitis studies [6-8]. In a literature review of 28 cases with pneumococcal spinal infections, Turner et al. [9] reported that most of the patients had symptoms for weeks before diagnosis and that the lumbar spine was the most common site of infection. Severe complications were relatively frequent (endocarditis 4/28, 14%; meningitis 5/28, 18%), and mortality was high (7/28, 25%) [9]. However, these epidemiological data were derived from case reports, which included cases published more than 50 years ago. Currently, there are few clinical studies of PVO available because of the rare incidence of the infection.\nIn this study, we set out to determine the clinical epidemiology of patients with PVO in a 9-year retrospective review of cases of invasive pneumococcal disease (IPD) at three teaching hospitals with tertiary emergency medical centers in Japan.", "All adult patients with IPD who were admitted to Seirei Mikatahara General Hospital (SMGH, 934 beds), Seirei Hamamatsu General Hospital (SHGH, 744 beds), and Tsukuba Medical Center Hospital (TMCH, 409 beds) from January 2003 to December 2011 were retrospectively reviewed. Patients with IPD were identified from a review of the microbiological records of S. pneumoniae detection in samples of blood, cerebrospinal fluid, joint fluid, or pus from the abscess obtained by aseptic techniques. The exclusion criteria were: (1) age ≤17 years; (2) a previous history of IPD; (3) concurrent detection of other pathogenic bacteria from aseptic sites; and (4) patient refusal, as written in the medical chart, to provide personal information for out-of-care purposes. PVO was identified if the blood culture or the pus aspirated from the intervertebral disk space, or paravertebral, epidural or psoas abscesses was positive for S. pneumonia. Vertebral osteomyelitis was confirmed by magnetic resonance imaging (MRI) or equivalent imaging methods in the radiologist’s official report [10].", "Medical records, nursing databases, and microbiological records from each hospital were reviewed by physicians qualified as Fellows of the Japanese Society of Internal Medicine, and all decisions were based on consensus.\nThe demographic and background data extracted from patient records included the following: age; sex; body weight; area of residence; functional capacity according to activities of daily living (ADL) before onset of pneumococcal bacteremia (Katz index [11]); comorbidities and the Charlson comorbidity index [12]; use of immunosuppressants or chemotherapy; administration of antimicrobial agents before obtaining samples for blood culture; extent of tobacco and alcohol intake; seasonality; presence of fever, neck or back pain; time from onset of symptoms until treatment; and preceding history of trauma, skin infections or respiratory symptoms. Patients receiving immunosuppressants were defined as those receiving more than 1 mg of prednisolone on a daily basis or any other immunosuppressive agent such as azathioprine or methotrexate. Patients with heavy alcohol intake were defined as those who consumed more than 80 g of ethanol daily. The duration of alcohol intake was not considered in this study.\nClinical and laboratory data included clinical severity, antimicrobial susceptibilities determined by broth microdilution methods, location of infection sites, complications and other sites of infection, initial antimicrobial agents used, total duration of antibiotic therapy, invasive procedures performed, morbidity and mortality. Clinical severity was classified into sepsis and septic shock based on recently described criteria [13]. Urine output and lactic acid concentrations were not evaluated as criteria for severe sepsis. The prothrombin time international normalized ratio (PT-INR) was considered to be ≤1.5 in cases in which prothrombin time was not determined. Other infective sites including meningitis and infective endocarditis were evaluated based on guidelines or established criteria [14,15]. Pneumonia was considered to be present if a blood culture was positive for S. pneumoniae and a chest X-ray or computed tomography showed infiltration consistent with pneumonia in the lung field. Other infective sources such as septic arthritis, liver abscess, or retropharyngeal abscess were considered to be other sites of infections when contrast-enhanced computed tomography or MRI showed compatible findings in an official radiologist’s report.\nOutcomes were assessed by morbidity and mortality. Morbidity was defined by the presence of any disorder reducing ADL capacity (Katz Index) at discharge compared with ADL before admission. Mortality was evaluated at 14 and 30 days.", "We compared the clinical characteristics of patients with PVO with those of patients with other IPD. Categorical variables were analyzed by the χ2 test or Fisher’s exact test as appropriate. Continuous variables were compared using the Student t test. The SPSS software package (version 20, IBM, Armonk, NY, USA) was used for all analyses. Statistical significance was defined as a two-tailed p value <0.05. For the detection rate of PVO among IPD, we computed exact confidence intervals for a proportion from the binomial distributions.", "This study was approved by the ethics committees of Seirei Mikatahara General Hospital, Seirei Hamamatsu General Hospital and Tsukuba Medical Center Hospital.", "The characteristics and demographic data of the 14 patients with PVO are summarized in Table 1. The median age was 69 years (range, 35–88 years) and five (36%) were women. Compared with patients with other IPDs, heavy alcohol intake was significantly more prevalent in patients with PVO (29% vs. 6%, P = 0.02). Diabetes mellitus was also common among patients with PVO (36%), although its prevalence was not significantly greater than that in IPD cases (19%). No patient was infected with HIV, or had a history of skin infections, invasive procedures or trauma. Only one patient had respiratory symptoms complicated by pneumonia and no patient presented with influenza. While cases of other IPDs were relatively frequent during the winter season (between December and March), this trend was not seen in the PVO group (50% vs. 14% for winter occurrences, P = 0.01).\nDemographic data for cases of pneumococcal vertebral osteomyelitis and comparison with other invasive pneumococcal disease\nADL: activities of daily living.\n(a) One patient died of aspiration pneumonia during hospitalization on day 37.\nRegarding clinical symptoms, fever was noted in 13 patients (93%) and a history of neck or back pain was noted in 12 patients (86%). Two patients without neck or back pain were identified as possible PVO cases by computed tomography before systemic investigation of pneumococcal bacteremia, and the diagnosis was later confirmed by MRI. Most patients (11/14; 79%) received effective antimicrobial therapy within 7 days after onset of suspected symptoms. Only one patient was diagnosed at 1 month after onset, and this patient subsequently developed endocarditis and required an operation.\nAll patients were hospitalized for treatment and seven patients (50%) presented with severe sepsis, but no patient developed septic shock (Table 1). Drug susceptibility to penicillin G (minimum inhibitory concentration (MIC) ≤ 2 μg/mL) and levofloxacin (MIC ≤ 2 μg/mL) was preserved in all strains.\nThe lumbar spine (n = 9, 64%) was the most commonly infected site and half of the patients with PVO had an epidural abscess detected by MRI (Table 2). Two patients had other joint infections and one patient had an infection in the sternum. Other sources of infection (each n = 1) were infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, and meningitis. The diagnosis of most patients (n = 13) was based on the presence of pneumococcal infection by blood cultures, while the diagnosis of one patient was based on the culture of pus obtained from the iliopsoas abscess.\nInfective sites and complications of pneumococcal vertebral osteomyelitis\naThree patients had multifocal infection sites.\nbOne patient had arthritis of the left shoulder joint and one had arthritis of the left sacroiliac joint.\ncOther sites of infection (each n = 1) included infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, sinusitis, and meningitis. One patient had both pneumonia and liver abscess along with vertebral osteomyelitis.\nAll patients were treated with β-lactam therapy. Two patients (14%) underwent invasive procedures, including a patient with infective endocarditis who was referred to another acute care hospital for surgery and survived. While 20% (37/182) of patients with other IPDs died within 30 days, none of the patients with PVO died within 30 days. In the patients with PVO, one patient died of aspiration pneumonia on day 37 after admission and three of the survivors (23%) had morbidity at discharge.", "The authors declare no conflicts of interest.", "HS designed the study and participated in collecting the clinical data, data analysis and drafting of the manuscript. YT designed the study and was involved in data analysis and drafting of the manuscript. DS, HI and HN designed the study. They were also involved in supporting the data collection and helping to draft the manuscript. TM designed the study and helped draft the manuscript. All authors reviewed and approved the final manuscript.", "The pre-publication history for this paper can be accessed here:\n\nhttp://www.biomedcentral.com/1471-2334/13/525/prepub\n" ]
[ null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Patients", "Data collection", "Statistical analysis", "Ethical considerations", "Results", "Clinical characteristics and outcomes", "Discussion", "Conclusions", "Competing interests", "Authors’ contributions", "Pre-publication history", "Supplementary Material" ]
[ "Streptococcus pneumoniae is an important pathogen that is the main cause of community-acquired pneumonia [1], meningitis [2], sinusitis [3] and otitis media [4]. S. pneumoniae was also the third most common pathogen in bacterial arthritis, identified in 6% of cases [5].\nPneumococcal vertebral osteomyelitis (PVO) is a very rare disease, and the incidence has not been described in previous vertebral osteomyelitis studies [6-8]. In a literature review of 28 cases with pneumococcal spinal infections, Turner et al. [9] reported that most of the patients had symptoms for weeks before diagnosis and that the lumbar spine was the most common site of infection. Severe complications were relatively frequent (endocarditis 4/28, 14%; meningitis 5/28, 18%), and mortality was high (7/28, 25%) [9]. However, these epidemiological data were derived from case reports, which included cases published more than 50 years ago. Currently, there are few clinical studies of PVO available because of the rare incidence of the infection.\nIn this study, we set out to determine the clinical epidemiology of patients with PVO in a 9-year retrospective review of cases of invasive pneumococcal disease (IPD) at three teaching hospitals with tertiary emergency medical centers in Japan.", " Patients All adult patients with IPD who were admitted to Seirei Mikatahara General Hospital (SMGH, 934 beds), Seirei Hamamatsu General Hospital (SHGH, 744 beds), and Tsukuba Medical Center Hospital (TMCH, 409 beds) from January 2003 to December 2011 were retrospectively reviewed. Patients with IPD were identified from a review of the microbiological records of S. pneumoniae detection in samples of blood, cerebrospinal fluid, joint fluid, or pus from the abscess obtained by aseptic techniques. The exclusion criteria were: (1) age ≤17 years; (2) a previous history of IPD; (3) concurrent detection of other pathogenic bacteria from aseptic sites; and (4) patient refusal, as written in the medical chart, to provide personal information for out-of-care purposes. PVO was identified if the blood culture or the pus aspirated from the intervertebral disk space, or paravertebral, epidural or psoas abscesses was positive for S. pneumonia. Vertebral osteomyelitis was confirmed by magnetic resonance imaging (MRI) or equivalent imaging methods in the radiologist’s official report [10].\nAll adult patients with IPD who were admitted to Seirei Mikatahara General Hospital (SMGH, 934 beds), Seirei Hamamatsu General Hospital (SHGH, 744 beds), and Tsukuba Medical Center Hospital (TMCH, 409 beds) from January 2003 to December 2011 were retrospectively reviewed. Patients with IPD were identified from a review of the microbiological records of S. pneumoniae detection in samples of blood, cerebrospinal fluid, joint fluid, or pus from the abscess obtained by aseptic techniques. The exclusion criteria were: (1) age ≤17 years; (2) a previous history of IPD; (3) concurrent detection of other pathogenic bacteria from aseptic sites; and (4) patient refusal, as written in the medical chart, to provide personal information for out-of-care purposes. PVO was identified if the blood culture or the pus aspirated from the intervertebral disk space, or paravertebral, epidural or psoas abscesses was positive for S. pneumonia. Vertebral osteomyelitis was confirmed by magnetic resonance imaging (MRI) or equivalent imaging methods in the radiologist’s official report [10].\n Data collection Medical records, nursing databases, and microbiological records from each hospital were reviewed by physicians qualified as Fellows of the Japanese Society of Internal Medicine, and all decisions were based on consensus.\nThe demographic and background data extracted from patient records included the following: age; sex; body weight; area of residence; functional capacity according to activities of daily living (ADL) before onset of pneumococcal bacteremia (Katz index [11]); comorbidities and the Charlson comorbidity index [12]; use of immunosuppressants or chemotherapy; administration of antimicrobial agents before obtaining samples for blood culture; extent of tobacco and alcohol intake; seasonality; presence of fever, neck or back pain; time from onset of symptoms until treatment; and preceding history of trauma, skin infections or respiratory symptoms. Patients receiving immunosuppressants were defined as those receiving more than 1 mg of prednisolone on a daily basis or any other immunosuppressive agent such as azathioprine or methotrexate. Patients with heavy alcohol intake were defined as those who consumed more than 80 g of ethanol daily. The duration of alcohol intake was not considered in this study.\nClinical and laboratory data included clinical severity, antimicrobial susceptibilities determined by broth microdilution methods, location of infection sites, complications and other sites of infection, initial antimicrobial agents used, total duration of antibiotic therapy, invasive procedures performed, morbidity and mortality. Clinical severity was classified into sepsis and septic shock based on recently described criteria [13]. Urine output and lactic acid concentrations were not evaluated as criteria for severe sepsis. The prothrombin time international normalized ratio (PT-INR) was considered to be ≤1.5 in cases in which prothrombin time was not determined. Other infective sites including meningitis and infective endocarditis were evaluated based on guidelines or established criteria [14,15]. Pneumonia was considered to be present if a blood culture was positive for S. pneumoniae and a chest X-ray or computed tomography showed infiltration consistent with pneumonia in the lung field. Other infective sources such as septic arthritis, liver abscess, or retropharyngeal abscess were considered to be other sites of infections when contrast-enhanced computed tomography or MRI showed compatible findings in an official radiologist’s report.\nOutcomes were assessed by morbidity and mortality. Morbidity was defined by the presence of any disorder reducing ADL capacity (Katz Index) at discharge compared with ADL before admission. Mortality was evaluated at 14 and 30 days.\nMedical records, nursing databases, and microbiological records from each hospital were reviewed by physicians qualified as Fellows of the Japanese Society of Internal Medicine, and all decisions were based on consensus.\nThe demographic and background data extracted from patient records included the following: age; sex; body weight; area of residence; functional capacity according to activities of daily living (ADL) before onset of pneumococcal bacteremia (Katz index [11]); comorbidities and the Charlson comorbidity index [12]; use of immunosuppressants or chemotherapy; administration of antimicrobial agents before obtaining samples for blood culture; extent of tobacco and alcohol intake; seasonality; presence of fever, neck or back pain; time from onset of symptoms until treatment; and preceding history of trauma, skin infections or respiratory symptoms. Patients receiving immunosuppressants were defined as those receiving more than 1 mg of prednisolone on a daily basis or any other immunosuppressive agent such as azathioprine or methotrexate. Patients with heavy alcohol intake were defined as those who consumed more than 80 g of ethanol daily. The duration of alcohol intake was not considered in this study.\nClinical and laboratory data included clinical severity, antimicrobial susceptibilities determined by broth microdilution methods, location of infection sites, complications and other sites of infection, initial antimicrobial agents used, total duration of antibiotic therapy, invasive procedures performed, morbidity and mortality. Clinical severity was classified into sepsis and septic shock based on recently described criteria [13]. Urine output and lactic acid concentrations were not evaluated as criteria for severe sepsis. The prothrombin time international normalized ratio (PT-INR) was considered to be ≤1.5 in cases in which prothrombin time was not determined. Other infective sites including meningitis and infective endocarditis were evaluated based on guidelines or established criteria [14,15]. Pneumonia was considered to be present if a blood culture was positive for S. pneumoniae and a chest X-ray or computed tomography showed infiltration consistent with pneumonia in the lung field. Other infective sources such as septic arthritis, liver abscess, or retropharyngeal abscess were considered to be other sites of infections when contrast-enhanced computed tomography or MRI showed compatible findings in an official radiologist’s report.\nOutcomes were assessed by morbidity and mortality. Morbidity was defined by the presence of any disorder reducing ADL capacity (Katz Index) at discharge compared with ADL before admission. Mortality was evaluated at 14 and 30 days.\n Statistical analysis We compared the clinical characteristics of patients with PVO with those of patients with other IPD. Categorical variables were analyzed by the χ2 test or Fisher’s exact test as appropriate. Continuous variables were compared using the Student t test. The SPSS software package (version 20, IBM, Armonk, NY, USA) was used for all analyses. Statistical significance was defined as a two-tailed p value <0.05. For the detection rate of PVO among IPD, we computed exact confidence intervals for a proportion from the binomial distributions.\nWe compared the clinical characteristics of patients with PVO with those of patients with other IPD. Categorical variables were analyzed by the χ2 test or Fisher’s exact test as appropriate. Continuous variables were compared using the Student t test. The SPSS software package (version 20, IBM, Armonk, NY, USA) was used for all analyses. Statistical significance was defined as a two-tailed p value <0.05. For the detection rate of PVO among IPD, we computed exact confidence intervals for a proportion from the binomial distributions.\n Ethical considerations This study was approved by the ethics committees of Seirei Mikatahara General Hospital, Seirei Hamamatsu General Hospital and Tsukuba Medical Center Hospital.\nThis study was approved by the ethics committees of Seirei Mikatahara General Hospital, Seirei Hamamatsu General Hospital and Tsukuba Medical Center Hospital.", "All adult patients with IPD who were admitted to Seirei Mikatahara General Hospital (SMGH, 934 beds), Seirei Hamamatsu General Hospital (SHGH, 744 beds), and Tsukuba Medical Center Hospital (TMCH, 409 beds) from January 2003 to December 2011 were retrospectively reviewed. Patients with IPD were identified from a review of the microbiological records of S. pneumoniae detection in samples of blood, cerebrospinal fluid, joint fluid, or pus from the abscess obtained by aseptic techniques. The exclusion criteria were: (1) age ≤17 years; (2) a previous history of IPD; (3) concurrent detection of other pathogenic bacteria from aseptic sites; and (4) patient refusal, as written in the medical chart, to provide personal information for out-of-care purposes. PVO was identified if the blood culture or the pus aspirated from the intervertebral disk space, or paravertebral, epidural or psoas abscesses was positive for S. pneumonia. Vertebral osteomyelitis was confirmed by magnetic resonance imaging (MRI) or equivalent imaging methods in the radiologist’s official report [10].", "Medical records, nursing databases, and microbiological records from each hospital were reviewed by physicians qualified as Fellows of the Japanese Society of Internal Medicine, and all decisions were based on consensus.\nThe demographic and background data extracted from patient records included the following: age; sex; body weight; area of residence; functional capacity according to activities of daily living (ADL) before onset of pneumococcal bacteremia (Katz index [11]); comorbidities and the Charlson comorbidity index [12]; use of immunosuppressants or chemotherapy; administration of antimicrobial agents before obtaining samples for blood culture; extent of tobacco and alcohol intake; seasonality; presence of fever, neck or back pain; time from onset of symptoms until treatment; and preceding history of trauma, skin infections or respiratory symptoms. Patients receiving immunosuppressants were defined as those receiving more than 1 mg of prednisolone on a daily basis or any other immunosuppressive agent such as azathioprine or methotrexate. Patients with heavy alcohol intake were defined as those who consumed more than 80 g of ethanol daily. The duration of alcohol intake was not considered in this study.\nClinical and laboratory data included clinical severity, antimicrobial susceptibilities determined by broth microdilution methods, location of infection sites, complications and other sites of infection, initial antimicrobial agents used, total duration of antibiotic therapy, invasive procedures performed, morbidity and mortality. Clinical severity was classified into sepsis and septic shock based on recently described criteria [13]. Urine output and lactic acid concentrations were not evaluated as criteria for severe sepsis. The prothrombin time international normalized ratio (PT-INR) was considered to be ≤1.5 in cases in which prothrombin time was not determined. Other infective sites including meningitis and infective endocarditis were evaluated based on guidelines or established criteria [14,15]. Pneumonia was considered to be present if a blood culture was positive for S. pneumoniae and a chest X-ray or computed tomography showed infiltration consistent with pneumonia in the lung field. Other infective sources such as septic arthritis, liver abscess, or retropharyngeal abscess were considered to be other sites of infections when contrast-enhanced computed tomography or MRI showed compatible findings in an official radiologist’s report.\nOutcomes were assessed by morbidity and mortality. Morbidity was defined by the presence of any disorder reducing ADL capacity (Katz Index) at discharge compared with ADL before admission. Mortality was evaluated at 14 and 30 days.", "We compared the clinical characteristics of patients with PVO with those of patients with other IPD. Categorical variables were analyzed by the χ2 test or Fisher’s exact test as appropriate. Continuous variables were compared using the Student t test. The SPSS software package (version 20, IBM, Armonk, NY, USA) was used for all analyses. Statistical significance was defined as a two-tailed p value <0.05. For the detection rate of PVO among IPD, we computed exact confidence intervals for a proportion from the binomial distributions.", "This study was approved by the ethics committees of Seirei Mikatahara General Hospital, Seirei Hamamatsu General Hospital and Tsukuba Medical Center Hospital.", "We identified 219 adult IPD patients during the study period, of whom 11 met the exclusion criteria (seven declined non-medical use of personal information, three had concurrent detection of other pathogenic bacteria, and one was a recurrent case). Therefore, data from 208 cases were reviewed for infective sources. This resulted in identification of 14 patients (6.4%; 95% CI, 3.5–10%) with PVO, followed by 129 with pneumonia or empyema, 25 with primary bacteremia, 23 with meningitis, seven with joint infections and 10 with other infections.\n Clinical characteristics and outcomes The characteristics and demographic data of the 14 patients with PVO are summarized in Table 1. The median age was 69 years (range, 35–88 years) and five (36%) were women. Compared with patients with other IPDs, heavy alcohol intake was significantly more prevalent in patients with PVO (29% vs. 6%, P = 0.02). Diabetes mellitus was also common among patients with PVO (36%), although its prevalence was not significantly greater than that in IPD cases (19%). No patient was infected with HIV, or had a history of skin infections, invasive procedures or trauma. Only one patient had respiratory symptoms complicated by pneumonia and no patient presented with influenza. While cases of other IPDs were relatively frequent during the winter season (between December and March), this trend was not seen in the PVO group (50% vs. 14% for winter occurrences, P = 0.01).\nDemographic data for cases of pneumococcal vertebral osteomyelitis and comparison with other invasive pneumococcal disease\nADL: activities of daily living.\n(a) One patient died of aspiration pneumonia during hospitalization on day 37.\nRegarding clinical symptoms, fever was noted in 13 patients (93%) and a history of neck or back pain was noted in 12 patients (86%). Two patients without neck or back pain were identified as possible PVO cases by computed tomography before systemic investigation of pneumococcal bacteremia, and the diagnosis was later confirmed by MRI. Most patients (11/14; 79%) received effective antimicrobial therapy within 7 days after onset of suspected symptoms. Only one patient was diagnosed at 1 month after onset, and this patient subsequently developed endocarditis and required an operation.\nAll patients were hospitalized for treatment and seven patients (50%) presented with severe sepsis, but no patient developed septic shock (Table 1). Drug susceptibility to penicillin G (minimum inhibitory concentration (MIC) ≤ 2 μg/mL) and levofloxacin (MIC ≤ 2 μg/mL) was preserved in all strains.\nThe lumbar spine (n = 9, 64%) was the most commonly infected site and half of the patients with PVO had an epidural abscess detected by MRI (Table 2). Two patients had other joint infections and one patient had an infection in the sternum. Other sources of infection (each n = 1) were infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, and meningitis. The diagnosis of most patients (n = 13) was based on the presence of pneumococcal infection by blood cultures, while the diagnosis of one patient was based on the culture of pus obtained from the iliopsoas abscess.\nInfective sites and complications of pneumococcal vertebral osteomyelitis\naThree patients had multifocal infection sites.\nbOne patient had arthritis of the left shoulder joint and one had arthritis of the left sacroiliac joint.\ncOther sites of infection (each n = 1) included infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, sinusitis, and meningitis. One patient had both pneumonia and liver abscess along with vertebral osteomyelitis.\nAll patients were treated with β-lactam therapy. Two patients (14%) underwent invasive procedures, including a patient with infective endocarditis who was referred to another acute care hospital for surgery and survived. While 20% (37/182) of patients with other IPDs died within 30 days, none of the patients with PVO died within 30 days. In the patients with PVO, one patient died of aspiration pneumonia on day 37 after admission and three of the survivors (23%) had morbidity at discharge.\nThe characteristics and demographic data of the 14 patients with PVO are summarized in Table 1. The median age was 69 years (range, 35–88 years) and five (36%) were women. Compared with patients with other IPDs, heavy alcohol intake was significantly more prevalent in patients with PVO (29% vs. 6%, P = 0.02). Diabetes mellitus was also common among patients with PVO (36%), although its prevalence was not significantly greater than that in IPD cases (19%). No patient was infected with HIV, or had a history of skin infections, invasive procedures or trauma. Only one patient had respiratory symptoms complicated by pneumonia and no patient presented with influenza. While cases of other IPDs were relatively frequent during the winter season (between December and March), this trend was not seen in the PVO group (50% vs. 14% for winter occurrences, P = 0.01).\nDemographic data for cases of pneumococcal vertebral osteomyelitis and comparison with other invasive pneumococcal disease\nADL: activities of daily living.\n(a) One patient died of aspiration pneumonia during hospitalization on day 37.\nRegarding clinical symptoms, fever was noted in 13 patients (93%) and a history of neck or back pain was noted in 12 patients (86%). Two patients without neck or back pain were identified as possible PVO cases by computed tomography before systemic investigation of pneumococcal bacteremia, and the diagnosis was later confirmed by MRI. Most patients (11/14; 79%) received effective antimicrobial therapy within 7 days after onset of suspected symptoms. Only one patient was diagnosed at 1 month after onset, and this patient subsequently developed endocarditis and required an operation.\nAll patients were hospitalized for treatment and seven patients (50%) presented with severe sepsis, but no patient developed septic shock (Table 1). Drug susceptibility to penicillin G (minimum inhibitory concentration (MIC) ≤ 2 μg/mL) and levofloxacin (MIC ≤ 2 μg/mL) was preserved in all strains.\nThe lumbar spine (n = 9, 64%) was the most commonly infected site and half of the patients with PVO had an epidural abscess detected by MRI (Table 2). Two patients had other joint infections and one patient had an infection in the sternum. Other sources of infection (each n = 1) were infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, and meningitis. The diagnosis of most patients (n = 13) was based on the presence of pneumococcal infection by blood cultures, while the diagnosis of one patient was based on the culture of pus obtained from the iliopsoas abscess.\nInfective sites and complications of pneumococcal vertebral osteomyelitis\naThree patients had multifocal infection sites.\nbOne patient had arthritis of the left shoulder joint and one had arthritis of the left sacroiliac joint.\ncOther sites of infection (each n = 1) included infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, sinusitis, and meningitis. One patient had both pneumonia and liver abscess along with vertebral osteomyelitis.\nAll patients were treated with β-lactam therapy. Two patients (14%) underwent invasive procedures, including a patient with infective endocarditis who was referred to another acute care hospital for surgery and survived. While 20% (37/182) of patients with other IPDs died within 30 days, none of the patients with PVO died within 30 days. In the patients with PVO, one patient died of aspiration pneumonia on day 37 after admission and three of the survivors (23%) had morbidity at discharge.", "The characteristics and demographic data of the 14 patients with PVO are summarized in Table 1. The median age was 69 years (range, 35–88 years) and five (36%) were women. Compared with patients with other IPDs, heavy alcohol intake was significantly more prevalent in patients with PVO (29% vs. 6%, P = 0.02). Diabetes mellitus was also common among patients with PVO (36%), although its prevalence was not significantly greater than that in IPD cases (19%). No patient was infected with HIV, or had a history of skin infections, invasive procedures or trauma. Only one patient had respiratory symptoms complicated by pneumonia and no patient presented with influenza. While cases of other IPDs were relatively frequent during the winter season (between December and March), this trend was not seen in the PVO group (50% vs. 14% for winter occurrences, P = 0.01).\nDemographic data for cases of pneumococcal vertebral osteomyelitis and comparison with other invasive pneumococcal disease\nADL: activities of daily living.\n(a) One patient died of aspiration pneumonia during hospitalization on day 37.\nRegarding clinical symptoms, fever was noted in 13 patients (93%) and a history of neck or back pain was noted in 12 patients (86%). Two patients without neck or back pain were identified as possible PVO cases by computed tomography before systemic investigation of pneumococcal bacteremia, and the diagnosis was later confirmed by MRI. Most patients (11/14; 79%) received effective antimicrobial therapy within 7 days after onset of suspected symptoms. Only one patient was diagnosed at 1 month after onset, and this patient subsequently developed endocarditis and required an operation.\nAll patients were hospitalized for treatment and seven patients (50%) presented with severe sepsis, but no patient developed septic shock (Table 1). Drug susceptibility to penicillin G (minimum inhibitory concentration (MIC) ≤ 2 μg/mL) and levofloxacin (MIC ≤ 2 μg/mL) was preserved in all strains.\nThe lumbar spine (n = 9, 64%) was the most commonly infected site and half of the patients with PVO had an epidural abscess detected by MRI (Table 2). Two patients had other joint infections and one patient had an infection in the sternum. Other sources of infection (each n = 1) were infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, and meningitis. The diagnosis of most patients (n = 13) was based on the presence of pneumococcal infection by blood cultures, while the diagnosis of one patient was based on the culture of pus obtained from the iliopsoas abscess.\nInfective sites and complications of pneumococcal vertebral osteomyelitis\naThree patients had multifocal infection sites.\nbOne patient had arthritis of the left shoulder joint and one had arthritis of the left sacroiliac joint.\ncOther sites of infection (each n = 1) included infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, sinusitis, and meningitis. One patient had both pneumonia and liver abscess along with vertebral osteomyelitis.\nAll patients were treated with β-lactam therapy. Two patients (14%) underwent invasive procedures, including a patient with infective endocarditis who was referred to another acute care hospital for surgery and survived. While 20% (37/182) of patients with other IPDs died within 30 days, none of the patients with PVO died within 30 days. In the patients with PVO, one patient died of aspiration pneumonia on day 37 after admission and three of the survivors (23%) had morbidity at discharge.", "We evaluated 14 cases of PVO, which is currently the largest number of patients analyzed in a study of PVO. While diabetes mellitus and heavy alcohol intake were common among patients with PVO, there were no patients with nosocomial S. pneumoniae infections, preceding invasive procedures or injuries. Fever with back pain or neck pain was present in most patients and the lumbar spine was the most frequently affected site of pneumococcal infections. Initial treatments were administered in most patients within a week after onset of symptoms and only one patient died during hospitalization.\nWe summarized adult PVO cases previously published in the last 30 years (n = 26) [9,16-33] in Additional file 1: Table S1. Compared with the previous 26 cases of PVO, the clinical outcome was favorable in our current cases. The better prognosis might have been derived from earlier diagnosis of PVO and an adequate period of antimicrobial treatment in our current cases. The initiation of treatment seemed delayed for weeks after the onset of back pain in previous cases. However it may also be a result of other factors, such as the serotype, and the invasiveness of S. pneumoniae. In our current cases and the previous 26 cases, diabetes mellitus and heavy alcohol intake were common comorbidities and most cases also had a history of fever, back pain or neck pain. The lumbar spine was the most frequently affected site and the characteristics were consistent with bacterial vertebral osteomyelitis caused by other pathogens, mainly Staphylococcus aureus[6-8,34,35]. Meanwhile, there were some differences in PVO from other vertebral osteomyelitis. First, most of the pneumococcal infections occurred outside hospital in both our study and the previous 26 cases; nosocomial acquisition, preceding operative procedures, skin infections and back injury were rarely described. In addition, preceding or concurrent infections of pneumococcal meningitis were reported in one patient (7%) in our study and in seven patients (27%) from previous cases reports.\nIn most previous studies of pneumococcal bacteremia or IPD, the incidence of PVO was not described [36-39]. In a few other studies, the incidence was described as 0.2–1.3% [40-42]. Meanwhile, Turner et al. suggested the possible underestimation of pneumococcal spinal infections in a report of eight cases over 13 years of experience at a single university in the United Kingdom [9]. This suggestion is supported by our results. Our study indicates that we should be vigilant for a history of neck or back pain in cases of pneumococcal bacteremia or other pneumococcal infections. Blood cultures should be obtained for patients with fever and also neck or back pain. The possibility of concurrent PVO should be considered in cases of pneumococcal meningitis so that patients receive an appropriate length of antimicrobial treatment. S. pneumoniae may be the causative pathogen in vertebral osteomyelitis, especially among community-onset cases with no history of invasive procedures or back injury.\nThere are several limitations to this study. It was retrospectively conducted at three teaching hospitals in two regions of Japan. The serotypes of S. pneumoniae were not evaluated and the pneumococcal vaccination status was not recorded or described in most patients and thus our results might not be the same as those for PVO in other regions. Finally, the investigations for vertebral osteomyelitis were not performed for all patients with IPD and patients in critical conditions could not tolerate such an examination. Thus actual incidence and mortality of PVO might have been higher than that reported here. Larger clinical studies are required, especially to determine risk factors and to formulate appropriate prevention and treatment strategies for PVO.", "Our study suggests that vertebral osteomyelitis may be a relatively common infective site among adult patients with IPD. The mortality in those with PVO could be low with early diagnosis and appropriate management. S. pneumoniae should be considered as the important causative pathogen in vertebral osteomyelitis, especially among community-onset cases without a history of invasive procedures or back injury.", "The authors declare no conflicts of interest.", "HS designed the study and participated in collecting the clinical data, data analysis and drafting of the manuscript. YT designed the study and was involved in data analysis and drafting of the manuscript. DS, HI and HN designed the study. They were also involved in supporting the data collection and helping to draft the manuscript. TM designed the study and helped draft the manuscript. All authors reviewed and approved the final manuscript.", "The pre-publication history for this paper can be accessed here:\n\nhttp://www.biomedcentral.com/1471-2334/13/525/prepub\n", "Summary of previously reported adult pneumococcal vertebral osteomyelitis cases (1986–2012).\nClick here for file" ]
[ null, "methods", null, null, null, null, "results", null, "discussion", "conclusions", null, null, null, "supplementary-material" ]
[ "Pneumococcal infections", "Spinal infections", "Spondylodiscitis", "\nStreptococcus pneumoniae\n", "Vertebral osteomyelitis" ]
Background: Streptococcus pneumoniae is an important pathogen that is the main cause of community-acquired pneumonia [1], meningitis [2], sinusitis [3] and otitis media [4]. S. pneumoniae was also the third most common pathogen in bacterial arthritis, identified in 6% of cases [5]. Pneumococcal vertebral osteomyelitis (PVO) is a very rare disease, and the incidence has not been described in previous vertebral osteomyelitis studies [6-8]. In a literature review of 28 cases with pneumococcal spinal infections, Turner et al. [9] reported that most of the patients had symptoms for weeks before diagnosis and that the lumbar spine was the most common site of infection. Severe complications were relatively frequent (endocarditis 4/28, 14%; meningitis 5/28, 18%), and mortality was high (7/28, 25%) [9]. However, these epidemiological data were derived from case reports, which included cases published more than 50 years ago. Currently, there are few clinical studies of PVO available because of the rare incidence of the infection. In this study, we set out to determine the clinical epidemiology of patients with PVO in a 9-year retrospective review of cases of invasive pneumococcal disease (IPD) at three teaching hospitals with tertiary emergency medical centers in Japan. Methods: Patients All adult patients with IPD who were admitted to Seirei Mikatahara General Hospital (SMGH, 934 beds), Seirei Hamamatsu General Hospital (SHGH, 744 beds), and Tsukuba Medical Center Hospital (TMCH, 409 beds) from January 2003 to December 2011 were retrospectively reviewed. Patients with IPD were identified from a review of the microbiological records of S. pneumoniae detection in samples of blood, cerebrospinal fluid, joint fluid, or pus from the abscess obtained by aseptic techniques. The exclusion criteria were: (1) age ≤17 years; (2) a previous history of IPD; (3) concurrent detection of other pathogenic bacteria from aseptic sites; and (4) patient refusal, as written in the medical chart, to provide personal information for out-of-care purposes. PVO was identified if the blood culture or the pus aspirated from the intervertebral disk space, or paravertebral, epidural or psoas abscesses was positive for S. pneumonia. Vertebral osteomyelitis was confirmed by magnetic resonance imaging (MRI) or equivalent imaging methods in the radiologist’s official report [10]. All adult patients with IPD who were admitted to Seirei Mikatahara General Hospital (SMGH, 934 beds), Seirei Hamamatsu General Hospital (SHGH, 744 beds), and Tsukuba Medical Center Hospital (TMCH, 409 beds) from January 2003 to December 2011 were retrospectively reviewed. Patients with IPD were identified from a review of the microbiological records of S. pneumoniae detection in samples of blood, cerebrospinal fluid, joint fluid, or pus from the abscess obtained by aseptic techniques. The exclusion criteria were: (1) age ≤17 years; (2) a previous history of IPD; (3) concurrent detection of other pathogenic bacteria from aseptic sites; and (4) patient refusal, as written in the medical chart, to provide personal information for out-of-care purposes. PVO was identified if the blood culture or the pus aspirated from the intervertebral disk space, or paravertebral, epidural or psoas abscesses was positive for S. pneumonia. Vertebral osteomyelitis was confirmed by magnetic resonance imaging (MRI) or equivalent imaging methods in the radiologist’s official report [10]. Data collection Medical records, nursing databases, and microbiological records from each hospital were reviewed by physicians qualified as Fellows of the Japanese Society of Internal Medicine, and all decisions were based on consensus. The demographic and background data extracted from patient records included the following: age; sex; body weight; area of residence; functional capacity according to activities of daily living (ADL) before onset of pneumococcal bacteremia (Katz index [11]); comorbidities and the Charlson comorbidity index [12]; use of immunosuppressants or chemotherapy; administration of antimicrobial agents before obtaining samples for blood culture; extent of tobacco and alcohol intake; seasonality; presence of fever, neck or back pain; time from onset of symptoms until treatment; and preceding history of trauma, skin infections or respiratory symptoms. Patients receiving immunosuppressants were defined as those receiving more than 1 mg of prednisolone on a daily basis or any other immunosuppressive agent such as azathioprine or methotrexate. Patients with heavy alcohol intake were defined as those who consumed more than 80 g of ethanol daily. The duration of alcohol intake was not considered in this study. Clinical and laboratory data included clinical severity, antimicrobial susceptibilities determined by broth microdilution methods, location of infection sites, complications and other sites of infection, initial antimicrobial agents used, total duration of antibiotic therapy, invasive procedures performed, morbidity and mortality. Clinical severity was classified into sepsis and septic shock based on recently described criteria [13]. Urine output and lactic acid concentrations were not evaluated as criteria for severe sepsis. The prothrombin time international normalized ratio (PT-INR) was considered to be ≤1.5 in cases in which prothrombin time was not determined. Other infective sites including meningitis and infective endocarditis were evaluated based on guidelines or established criteria [14,15]. Pneumonia was considered to be present if a blood culture was positive for S. pneumoniae and a chest X-ray or computed tomography showed infiltration consistent with pneumonia in the lung field. Other infective sources such as septic arthritis, liver abscess, or retropharyngeal abscess were considered to be other sites of infections when contrast-enhanced computed tomography or MRI showed compatible findings in an official radiologist’s report. Outcomes were assessed by morbidity and mortality. Morbidity was defined by the presence of any disorder reducing ADL capacity (Katz Index) at discharge compared with ADL before admission. Mortality was evaluated at 14 and 30 days. Medical records, nursing databases, and microbiological records from each hospital were reviewed by physicians qualified as Fellows of the Japanese Society of Internal Medicine, and all decisions were based on consensus. The demographic and background data extracted from patient records included the following: age; sex; body weight; area of residence; functional capacity according to activities of daily living (ADL) before onset of pneumococcal bacteremia (Katz index [11]); comorbidities and the Charlson comorbidity index [12]; use of immunosuppressants or chemotherapy; administration of antimicrobial agents before obtaining samples for blood culture; extent of tobacco and alcohol intake; seasonality; presence of fever, neck or back pain; time from onset of symptoms until treatment; and preceding history of trauma, skin infections or respiratory symptoms. Patients receiving immunosuppressants were defined as those receiving more than 1 mg of prednisolone on a daily basis or any other immunosuppressive agent such as azathioprine or methotrexate. Patients with heavy alcohol intake were defined as those who consumed more than 80 g of ethanol daily. The duration of alcohol intake was not considered in this study. Clinical and laboratory data included clinical severity, antimicrobial susceptibilities determined by broth microdilution methods, location of infection sites, complications and other sites of infection, initial antimicrobial agents used, total duration of antibiotic therapy, invasive procedures performed, morbidity and mortality. Clinical severity was classified into sepsis and septic shock based on recently described criteria [13]. Urine output and lactic acid concentrations were not evaluated as criteria for severe sepsis. The prothrombin time international normalized ratio (PT-INR) was considered to be ≤1.5 in cases in which prothrombin time was not determined. Other infective sites including meningitis and infective endocarditis were evaluated based on guidelines or established criteria [14,15]. Pneumonia was considered to be present if a blood culture was positive for S. pneumoniae and a chest X-ray or computed tomography showed infiltration consistent with pneumonia in the lung field. Other infective sources such as septic arthritis, liver abscess, or retropharyngeal abscess were considered to be other sites of infections when contrast-enhanced computed tomography or MRI showed compatible findings in an official radiologist’s report. Outcomes were assessed by morbidity and mortality. Morbidity was defined by the presence of any disorder reducing ADL capacity (Katz Index) at discharge compared with ADL before admission. Mortality was evaluated at 14 and 30 days. Statistical analysis We compared the clinical characteristics of patients with PVO with those of patients with other IPD. Categorical variables were analyzed by the χ2 test or Fisher’s exact test as appropriate. Continuous variables were compared using the Student t test. The SPSS software package (version 20, IBM, Armonk, NY, USA) was used for all analyses. Statistical significance was defined as a two-tailed p value <0.05. For the detection rate of PVO among IPD, we computed exact confidence intervals for a proportion from the binomial distributions. We compared the clinical characteristics of patients with PVO with those of patients with other IPD. Categorical variables were analyzed by the χ2 test or Fisher’s exact test as appropriate. Continuous variables were compared using the Student t test. The SPSS software package (version 20, IBM, Armonk, NY, USA) was used for all analyses. Statistical significance was defined as a two-tailed p value <0.05. For the detection rate of PVO among IPD, we computed exact confidence intervals for a proportion from the binomial distributions. Ethical considerations This study was approved by the ethics committees of Seirei Mikatahara General Hospital, Seirei Hamamatsu General Hospital and Tsukuba Medical Center Hospital. This study was approved by the ethics committees of Seirei Mikatahara General Hospital, Seirei Hamamatsu General Hospital and Tsukuba Medical Center Hospital. Patients: All adult patients with IPD who were admitted to Seirei Mikatahara General Hospital (SMGH, 934 beds), Seirei Hamamatsu General Hospital (SHGH, 744 beds), and Tsukuba Medical Center Hospital (TMCH, 409 beds) from January 2003 to December 2011 were retrospectively reviewed. Patients with IPD were identified from a review of the microbiological records of S. pneumoniae detection in samples of blood, cerebrospinal fluid, joint fluid, or pus from the abscess obtained by aseptic techniques. The exclusion criteria were: (1) age ≤17 years; (2) a previous history of IPD; (3) concurrent detection of other pathogenic bacteria from aseptic sites; and (4) patient refusal, as written in the medical chart, to provide personal information for out-of-care purposes. PVO was identified if the blood culture or the pus aspirated from the intervertebral disk space, or paravertebral, epidural or psoas abscesses was positive for S. pneumonia. Vertebral osteomyelitis was confirmed by magnetic resonance imaging (MRI) or equivalent imaging methods in the radiologist’s official report [10]. Data collection: Medical records, nursing databases, and microbiological records from each hospital were reviewed by physicians qualified as Fellows of the Japanese Society of Internal Medicine, and all decisions were based on consensus. The demographic and background data extracted from patient records included the following: age; sex; body weight; area of residence; functional capacity according to activities of daily living (ADL) before onset of pneumococcal bacteremia (Katz index [11]); comorbidities and the Charlson comorbidity index [12]; use of immunosuppressants or chemotherapy; administration of antimicrobial agents before obtaining samples for blood culture; extent of tobacco and alcohol intake; seasonality; presence of fever, neck or back pain; time from onset of symptoms until treatment; and preceding history of trauma, skin infections or respiratory symptoms. Patients receiving immunosuppressants were defined as those receiving more than 1 mg of prednisolone on a daily basis or any other immunosuppressive agent such as azathioprine or methotrexate. Patients with heavy alcohol intake were defined as those who consumed more than 80 g of ethanol daily. The duration of alcohol intake was not considered in this study. Clinical and laboratory data included clinical severity, antimicrobial susceptibilities determined by broth microdilution methods, location of infection sites, complications and other sites of infection, initial antimicrobial agents used, total duration of antibiotic therapy, invasive procedures performed, morbidity and mortality. Clinical severity was classified into sepsis and septic shock based on recently described criteria [13]. Urine output and lactic acid concentrations were not evaluated as criteria for severe sepsis. The prothrombin time international normalized ratio (PT-INR) was considered to be ≤1.5 in cases in which prothrombin time was not determined. Other infective sites including meningitis and infective endocarditis were evaluated based on guidelines or established criteria [14,15]. Pneumonia was considered to be present if a blood culture was positive for S. pneumoniae and a chest X-ray or computed tomography showed infiltration consistent with pneumonia in the lung field. Other infective sources such as septic arthritis, liver abscess, or retropharyngeal abscess were considered to be other sites of infections when contrast-enhanced computed tomography or MRI showed compatible findings in an official radiologist’s report. Outcomes were assessed by morbidity and mortality. Morbidity was defined by the presence of any disorder reducing ADL capacity (Katz Index) at discharge compared with ADL before admission. Mortality was evaluated at 14 and 30 days. Statistical analysis: We compared the clinical characteristics of patients with PVO with those of patients with other IPD. Categorical variables were analyzed by the χ2 test or Fisher’s exact test as appropriate. Continuous variables were compared using the Student t test. The SPSS software package (version 20, IBM, Armonk, NY, USA) was used for all analyses. Statistical significance was defined as a two-tailed p value <0.05. For the detection rate of PVO among IPD, we computed exact confidence intervals for a proportion from the binomial distributions. Ethical considerations: This study was approved by the ethics committees of Seirei Mikatahara General Hospital, Seirei Hamamatsu General Hospital and Tsukuba Medical Center Hospital. Results: We identified 219 adult IPD patients during the study period, of whom 11 met the exclusion criteria (seven declined non-medical use of personal information, three had concurrent detection of other pathogenic bacteria, and one was a recurrent case). Therefore, data from 208 cases were reviewed for infective sources. This resulted in identification of 14 patients (6.4%; 95% CI, 3.5–10%) with PVO, followed by 129 with pneumonia or empyema, 25 with primary bacteremia, 23 with meningitis, seven with joint infections and 10 with other infections. Clinical characteristics and outcomes The characteristics and demographic data of the 14 patients with PVO are summarized in Table 1. The median age was 69 years (range, 35–88 years) and five (36%) were women. Compared with patients with other IPDs, heavy alcohol intake was significantly more prevalent in patients with PVO (29% vs. 6%, P = 0.02). Diabetes mellitus was also common among patients with PVO (36%), although its prevalence was not significantly greater than that in IPD cases (19%). No patient was infected with HIV, or had a history of skin infections, invasive procedures or trauma. Only one patient had respiratory symptoms complicated by pneumonia and no patient presented with influenza. While cases of other IPDs were relatively frequent during the winter season (between December and March), this trend was not seen in the PVO group (50% vs. 14% for winter occurrences, P = 0.01). Demographic data for cases of pneumococcal vertebral osteomyelitis and comparison with other invasive pneumococcal disease ADL: activities of daily living. (a) One patient died of aspiration pneumonia during hospitalization on day 37. Regarding clinical symptoms, fever was noted in 13 patients (93%) and a history of neck or back pain was noted in 12 patients (86%). Two patients without neck or back pain were identified as possible PVO cases by computed tomography before systemic investigation of pneumococcal bacteremia, and the diagnosis was later confirmed by MRI. Most patients (11/14; 79%) received effective antimicrobial therapy within 7 days after onset of suspected symptoms. Only one patient was diagnosed at 1 month after onset, and this patient subsequently developed endocarditis and required an operation. All patients were hospitalized for treatment and seven patients (50%) presented with severe sepsis, but no patient developed septic shock (Table 1). Drug susceptibility to penicillin G (minimum inhibitory concentration (MIC) ≤ 2 μg/mL) and levofloxacin (MIC ≤ 2 μg/mL) was preserved in all strains. The lumbar spine (n = 9, 64%) was the most commonly infected site and half of the patients with PVO had an epidural abscess detected by MRI (Table 2). Two patients had other joint infections and one patient had an infection in the sternum. Other sources of infection (each n = 1) were infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, and meningitis. The diagnosis of most patients (n = 13) was based on the presence of pneumococcal infection by blood cultures, while the diagnosis of one patient was based on the culture of pus obtained from the iliopsoas abscess. Infective sites and complications of pneumococcal vertebral osteomyelitis aThree patients had multifocal infection sites. bOne patient had arthritis of the left shoulder joint and one had arthritis of the left sacroiliac joint. cOther sites of infection (each n = 1) included infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, sinusitis, and meningitis. One patient had both pneumonia and liver abscess along with vertebral osteomyelitis. All patients were treated with β-lactam therapy. Two patients (14%) underwent invasive procedures, including a patient with infective endocarditis who was referred to another acute care hospital for surgery and survived. While 20% (37/182) of patients with other IPDs died within 30 days, none of the patients with PVO died within 30 days. In the patients with PVO, one patient died of aspiration pneumonia on day 37 after admission and three of the survivors (23%) had morbidity at discharge. The characteristics and demographic data of the 14 patients with PVO are summarized in Table 1. The median age was 69 years (range, 35–88 years) and five (36%) were women. Compared with patients with other IPDs, heavy alcohol intake was significantly more prevalent in patients with PVO (29% vs. 6%, P = 0.02). Diabetes mellitus was also common among patients with PVO (36%), although its prevalence was not significantly greater than that in IPD cases (19%). No patient was infected with HIV, or had a history of skin infections, invasive procedures or trauma. Only one patient had respiratory symptoms complicated by pneumonia and no patient presented with influenza. While cases of other IPDs were relatively frequent during the winter season (between December and March), this trend was not seen in the PVO group (50% vs. 14% for winter occurrences, P = 0.01). Demographic data for cases of pneumococcal vertebral osteomyelitis and comparison with other invasive pneumococcal disease ADL: activities of daily living. (a) One patient died of aspiration pneumonia during hospitalization on day 37. Regarding clinical symptoms, fever was noted in 13 patients (93%) and a history of neck or back pain was noted in 12 patients (86%). Two patients without neck or back pain were identified as possible PVO cases by computed tomography before systemic investigation of pneumococcal bacteremia, and the diagnosis was later confirmed by MRI. Most patients (11/14; 79%) received effective antimicrobial therapy within 7 days after onset of suspected symptoms. Only one patient was diagnosed at 1 month after onset, and this patient subsequently developed endocarditis and required an operation. All patients were hospitalized for treatment and seven patients (50%) presented with severe sepsis, but no patient developed septic shock (Table 1). Drug susceptibility to penicillin G (minimum inhibitory concentration (MIC) ≤ 2 μg/mL) and levofloxacin (MIC ≤ 2 μg/mL) was preserved in all strains. The lumbar spine (n = 9, 64%) was the most commonly infected site and half of the patients with PVO had an epidural abscess detected by MRI (Table 2). Two patients had other joint infections and one patient had an infection in the sternum. Other sources of infection (each n = 1) were infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, and meningitis. The diagnosis of most patients (n = 13) was based on the presence of pneumococcal infection by blood cultures, while the diagnosis of one patient was based on the culture of pus obtained from the iliopsoas abscess. Infective sites and complications of pneumococcal vertebral osteomyelitis aThree patients had multifocal infection sites. bOne patient had arthritis of the left shoulder joint and one had arthritis of the left sacroiliac joint. cOther sites of infection (each n = 1) included infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, sinusitis, and meningitis. One patient had both pneumonia and liver abscess along with vertebral osteomyelitis. All patients were treated with β-lactam therapy. Two patients (14%) underwent invasive procedures, including a patient with infective endocarditis who was referred to another acute care hospital for surgery and survived. While 20% (37/182) of patients with other IPDs died within 30 days, none of the patients with PVO died within 30 days. In the patients with PVO, one patient died of aspiration pneumonia on day 37 after admission and three of the survivors (23%) had morbidity at discharge. Clinical characteristics and outcomes: The characteristics and demographic data of the 14 patients with PVO are summarized in Table 1. The median age was 69 years (range, 35–88 years) and five (36%) were women. Compared with patients with other IPDs, heavy alcohol intake was significantly more prevalent in patients with PVO (29% vs. 6%, P = 0.02). Diabetes mellitus was also common among patients with PVO (36%), although its prevalence was not significantly greater than that in IPD cases (19%). No patient was infected with HIV, or had a history of skin infections, invasive procedures or trauma. Only one patient had respiratory symptoms complicated by pneumonia and no patient presented with influenza. While cases of other IPDs were relatively frequent during the winter season (between December and March), this trend was not seen in the PVO group (50% vs. 14% for winter occurrences, P = 0.01). Demographic data for cases of pneumococcal vertebral osteomyelitis and comparison with other invasive pneumococcal disease ADL: activities of daily living. (a) One patient died of aspiration pneumonia during hospitalization on day 37. Regarding clinical symptoms, fever was noted in 13 patients (93%) and a history of neck or back pain was noted in 12 patients (86%). Two patients without neck or back pain were identified as possible PVO cases by computed tomography before systemic investigation of pneumococcal bacteremia, and the diagnosis was later confirmed by MRI. Most patients (11/14; 79%) received effective antimicrobial therapy within 7 days after onset of suspected symptoms. Only one patient was diagnosed at 1 month after onset, and this patient subsequently developed endocarditis and required an operation. All patients were hospitalized for treatment and seven patients (50%) presented with severe sepsis, but no patient developed septic shock (Table 1). Drug susceptibility to penicillin G (minimum inhibitory concentration (MIC) ≤ 2 μg/mL) and levofloxacin (MIC ≤ 2 μg/mL) was preserved in all strains. The lumbar spine (n = 9, 64%) was the most commonly infected site and half of the patients with PVO had an epidural abscess detected by MRI (Table 2). Two patients had other joint infections and one patient had an infection in the sternum. Other sources of infection (each n = 1) were infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, and meningitis. The diagnosis of most patients (n = 13) was based on the presence of pneumococcal infection by blood cultures, while the diagnosis of one patient was based on the culture of pus obtained from the iliopsoas abscess. Infective sites and complications of pneumococcal vertebral osteomyelitis aThree patients had multifocal infection sites. bOne patient had arthritis of the left shoulder joint and one had arthritis of the left sacroiliac joint. cOther sites of infection (each n = 1) included infective endocarditis, liver abscess and pneumonia, retropharyngeal abscess, sinusitis, and meningitis. One patient had both pneumonia and liver abscess along with vertebral osteomyelitis. All patients were treated with β-lactam therapy. Two patients (14%) underwent invasive procedures, including a patient with infective endocarditis who was referred to another acute care hospital for surgery and survived. While 20% (37/182) of patients with other IPDs died within 30 days, none of the patients with PVO died within 30 days. In the patients with PVO, one patient died of aspiration pneumonia on day 37 after admission and three of the survivors (23%) had morbidity at discharge. Discussion: We evaluated 14 cases of PVO, which is currently the largest number of patients analyzed in a study of PVO. While diabetes mellitus and heavy alcohol intake were common among patients with PVO, there were no patients with nosocomial S. pneumoniae infections, preceding invasive procedures or injuries. Fever with back pain or neck pain was present in most patients and the lumbar spine was the most frequently affected site of pneumococcal infections. Initial treatments were administered in most patients within a week after onset of symptoms and only one patient died during hospitalization. We summarized adult PVO cases previously published in the last 30 years (n = 26) [9,16-33] in Additional file 1: Table S1. Compared with the previous 26 cases of PVO, the clinical outcome was favorable in our current cases. The better prognosis might have been derived from earlier diagnosis of PVO and an adequate period of antimicrobial treatment in our current cases. The initiation of treatment seemed delayed for weeks after the onset of back pain in previous cases. However it may also be a result of other factors, such as the serotype, and the invasiveness of S. pneumoniae. In our current cases and the previous 26 cases, diabetes mellitus and heavy alcohol intake were common comorbidities and most cases also had a history of fever, back pain or neck pain. The lumbar spine was the most frequently affected site and the characteristics were consistent with bacterial vertebral osteomyelitis caused by other pathogens, mainly Staphylococcus aureus[6-8,34,35]. Meanwhile, there were some differences in PVO from other vertebral osteomyelitis. First, most of the pneumococcal infections occurred outside hospital in both our study and the previous 26 cases; nosocomial acquisition, preceding operative procedures, skin infections and back injury were rarely described. In addition, preceding or concurrent infections of pneumococcal meningitis were reported in one patient (7%) in our study and in seven patients (27%) from previous cases reports. In most previous studies of pneumococcal bacteremia or IPD, the incidence of PVO was not described [36-39]. In a few other studies, the incidence was described as 0.2–1.3% [40-42]. Meanwhile, Turner et al. suggested the possible underestimation of pneumococcal spinal infections in a report of eight cases over 13 years of experience at a single university in the United Kingdom [9]. This suggestion is supported by our results. Our study indicates that we should be vigilant for a history of neck or back pain in cases of pneumococcal bacteremia or other pneumococcal infections. Blood cultures should be obtained for patients with fever and also neck or back pain. The possibility of concurrent PVO should be considered in cases of pneumococcal meningitis so that patients receive an appropriate length of antimicrobial treatment. S. pneumoniae may be the causative pathogen in vertebral osteomyelitis, especially among community-onset cases with no history of invasive procedures or back injury. There are several limitations to this study. It was retrospectively conducted at three teaching hospitals in two regions of Japan. The serotypes of S. pneumoniae were not evaluated and the pneumococcal vaccination status was not recorded or described in most patients and thus our results might not be the same as those for PVO in other regions. Finally, the investigations for vertebral osteomyelitis were not performed for all patients with IPD and patients in critical conditions could not tolerate such an examination. Thus actual incidence and mortality of PVO might have been higher than that reported here. Larger clinical studies are required, especially to determine risk factors and to formulate appropriate prevention and treatment strategies for PVO. Conclusions: Our study suggests that vertebral osteomyelitis may be a relatively common infective site among adult patients with IPD. The mortality in those with PVO could be low with early diagnosis and appropriate management. S. pneumoniae should be considered as the important causative pathogen in vertebral osteomyelitis, especially among community-onset cases without a history of invasive procedures or back injury. Competing interests: The authors declare no conflicts of interest. Authors’ contributions: HS designed the study and participated in collecting the clinical data, data analysis and drafting of the manuscript. YT designed the study and was involved in data analysis and drafting of the manuscript. DS, HI and HN designed the study. They were also involved in supporting the data collection and helping to draft the manuscript. TM designed the study and helped draft the manuscript. All authors reviewed and approved the final manuscript. Pre-publication history: The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2334/13/525/prepub Supplementary Material: Summary of previously reported adult pneumococcal vertebral osteomyelitis cases (1986–2012). Click here for file
Background: Pneumococcal vertebral osteomyelitis (PVO) is a rare disease whose clinical characteristics have not been clarified. This study aimed to investigate the clinical features and outcomes of patients with PVO. Methods: We retrospectively evaluated all adult patients diagnosed with PVO at three teaching hospitals in Japan from January 2003 to December 2011. All cases were identified through a review of the medical records of patients with invasive pneumococcal disease (IPD). Results: Among 208 patients with IPD, we identified 14 with PVO (6.4%; 95% CI, 3.5-10%). All 14 patients (nine male, five female; median age 69 years) had acquired PVO outside the hospital and had no recent history of an invasive procedure or back injury. Five patients (36%) had diabetes mellitus, and four (29%) had heavy alcohol intake. Fever (n = 13; 93%) or back pain/neck pain (n = 12; 86%) were present in most patients. The lumbar spine was affected in nine patients (64%) but the cervical spine was the site of infection in four patients (29%). All patients except one had a positive blood culture for Streptococcus pneumoniae, and there were no distant infected sites in most patients (n = 10; 71%). Intravenous beta-lactam therapy was initiated within 1 week after the onset of symptoms in 11 patients (79%). No patients died within 30 days, but one patient died from aspiration pneumonia on day 37 after admission. Conclusions: PVO was relatively common among adult patients with IPD, and mortality was low in this study. S. pneumoniae may be the causative pathogen of vertebral osteomyelitis, especially among community-onset cases without a history of invasive procedures or back injury.
Background: Streptococcus pneumoniae is an important pathogen that is the main cause of community-acquired pneumonia [1], meningitis [2], sinusitis [3] and otitis media [4]. S. pneumoniae was also the third most common pathogen in bacterial arthritis, identified in 6% of cases [5]. Pneumococcal vertebral osteomyelitis (PVO) is a very rare disease, and the incidence has not been described in previous vertebral osteomyelitis studies [6-8]. In a literature review of 28 cases with pneumococcal spinal infections, Turner et al. [9] reported that most of the patients had symptoms for weeks before diagnosis and that the lumbar spine was the most common site of infection. Severe complications were relatively frequent (endocarditis 4/28, 14%; meningitis 5/28, 18%), and mortality was high (7/28, 25%) [9]. However, these epidemiological data were derived from case reports, which included cases published more than 50 years ago. Currently, there are few clinical studies of PVO available because of the rare incidence of the infection. In this study, we set out to determine the clinical epidemiology of patients with PVO in a 9-year retrospective review of cases of invasive pneumococcal disease (IPD) at three teaching hospitals with tertiary emergency medical centers in Japan. Conclusions: Our study suggests that vertebral osteomyelitis may be a relatively common infective site among adult patients with IPD. The mortality in those with PVO could be low with early diagnosis and appropriate management. S. pneumoniae should be considered as the important causative pathogen in vertebral osteomyelitis, especially among community-onset cases without a history of invasive procedures or back injury.
Background: Pneumococcal vertebral osteomyelitis (PVO) is a rare disease whose clinical characteristics have not been clarified. This study aimed to investigate the clinical features and outcomes of patients with PVO. Methods: We retrospectively evaluated all adult patients diagnosed with PVO at three teaching hospitals in Japan from January 2003 to December 2011. All cases were identified through a review of the medical records of patients with invasive pneumococcal disease (IPD). Results: Among 208 patients with IPD, we identified 14 with PVO (6.4%; 95% CI, 3.5-10%). All 14 patients (nine male, five female; median age 69 years) had acquired PVO outside the hospital and had no recent history of an invasive procedure or back injury. Five patients (36%) had diabetes mellitus, and four (29%) had heavy alcohol intake. Fever (n = 13; 93%) or back pain/neck pain (n = 12; 86%) were present in most patients. The lumbar spine was affected in nine patients (64%) but the cervical spine was the site of infection in four patients (29%). All patients except one had a positive blood culture for Streptococcus pneumoniae, and there were no distant infected sites in most patients (n = 10; 71%). Intravenous beta-lactam therapy was initiated within 1 week after the onset of symptoms in 11 patients (79%). No patients died within 30 days, but one patient died from aspiration pneumonia on day 37 after admission. Conclusions: PVO was relatively common among adult patients with IPD, and mortality was low in this study. S. pneumoniae may be the causative pathogen of vertebral osteomyelitis, especially among community-onset cases without a history of invasive procedures or back injury.
5,805
349
[ 253, 205, 455, 101, 24, 712, 8, 80, 16 ]
14
[ "patients", "pvo", "patient", "cases", "pneumococcal", "abscess", "pneumonia", "hospital", "sites", "ipd" ]
[ "pvo vertebral osteomyelitis", "complications pneumococcal vertebral", "pneumococcal spinal", "osteomyelitis pneumococcal infections", "pneumonia vertebral osteomyelitis" ]
[CONTENT] Pneumococcal infections | Spinal infections | Spondylodiscitis | Streptococcus pneumoniae | Vertebral osteomyelitis [SUMMARY]
[CONTENT] Pneumococcal infections | Spinal infections | Spondylodiscitis | Streptococcus pneumoniae | Vertebral osteomyelitis [SUMMARY]
[CONTENT] Pneumococcal infections | Spinal infections | Spondylodiscitis | Streptococcus pneumoniae | Vertebral osteomyelitis [SUMMARY]
[CONTENT] Pneumococcal infections | Spinal infections | Spondylodiscitis | Streptococcus pneumoniae | Vertebral osteomyelitis [SUMMARY]
[CONTENT] Pneumococcal infections | Spinal infections | Spondylodiscitis | Streptococcus pneumoniae | Vertebral osteomyelitis [SUMMARY]
[CONTENT] Pneumococcal infections | Spinal infections | Spondylodiscitis | Streptococcus pneumoniae | Vertebral osteomyelitis [SUMMARY]
[CONTENT] Adult | Aged | Aged, 80 and over | Discitis | Female | Hospitals, Teaching | Humans | Japan | Male | Middle Aged | Osteomyelitis | Pneumococcal Infections | Retrospective Studies | Streptococcus pneumoniae [SUMMARY]
[CONTENT] Adult | Aged | Aged, 80 and over | Discitis | Female | Hospitals, Teaching | Humans | Japan | Male | Middle Aged | Osteomyelitis | Pneumococcal Infections | Retrospective Studies | Streptococcus pneumoniae [SUMMARY]
[CONTENT] Adult | Aged | Aged, 80 and over | Discitis | Female | Hospitals, Teaching | Humans | Japan | Male | Middle Aged | Osteomyelitis | Pneumococcal Infections | Retrospective Studies | Streptococcus pneumoniae [SUMMARY]
[CONTENT] Adult | Aged | Aged, 80 and over | Discitis | Female | Hospitals, Teaching | Humans | Japan | Male | Middle Aged | Osteomyelitis | Pneumococcal Infections | Retrospective Studies | Streptococcus pneumoniae [SUMMARY]
[CONTENT] Adult | Aged | Aged, 80 and over | Discitis | Female | Hospitals, Teaching | Humans | Japan | Male | Middle Aged | Osteomyelitis | Pneumococcal Infections | Retrospective Studies | Streptococcus pneumoniae [SUMMARY]
[CONTENT] Adult | Aged | Aged, 80 and over | Discitis | Female | Hospitals, Teaching | Humans | Japan | Male | Middle Aged | Osteomyelitis | Pneumococcal Infections | Retrospective Studies | Streptococcus pneumoniae [SUMMARY]
[CONTENT] pvo vertebral osteomyelitis | complications pneumococcal vertebral | pneumococcal spinal | osteomyelitis pneumococcal infections | pneumonia vertebral osteomyelitis [SUMMARY]
[CONTENT] pvo vertebral osteomyelitis | complications pneumococcal vertebral | pneumococcal spinal | osteomyelitis pneumococcal infections | pneumonia vertebral osteomyelitis [SUMMARY]
[CONTENT] pvo vertebral osteomyelitis | complications pneumococcal vertebral | pneumococcal spinal | osteomyelitis pneumococcal infections | pneumonia vertebral osteomyelitis [SUMMARY]
[CONTENT] pvo vertebral osteomyelitis | complications pneumococcal vertebral | pneumococcal spinal | osteomyelitis pneumococcal infections | pneumonia vertebral osteomyelitis [SUMMARY]
[CONTENT] pvo vertebral osteomyelitis | complications pneumococcal vertebral | pneumococcal spinal | osteomyelitis pneumococcal infections | pneumonia vertebral osteomyelitis [SUMMARY]
[CONTENT] pvo vertebral osteomyelitis | complications pneumococcal vertebral | pneumococcal spinal | osteomyelitis pneumococcal infections | pneumonia vertebral osteomyelitis [SUMMARY]
[CONTENT] patients | pvo | patient | cases | pneumococcal | abscess | pneumonia | hospital | sites | ipd [SUMMARY]
[CONTENT] patients | pvo | patient | cases | pneumococcal | abscess | pneumonia | hospital | sites | ipd [SUMMARY]
[CONTENT] patients | pvo | patient | cases | pneumococcal | abscess | pneumonia | hospital | sites | ipd [SUMMARY]
[CONTENT] patients | pvo | patient | cases | pneumococcal | abscess | pneumonia | hospital | sites | ipd [SUMMARY]
[CONTENT] patients | pvo | patient | cases | pneumococcal | abscess | pneumonia | hospital | sites | ipd [SUMMARY]
[CONTENT] patients | pvo | patient | cases | pneumococcal | abscess | pneumonia | hospital | sites | ipd [SUMMARY]
[CONTENT] 28 | cases | rare | incidence | studies | pneumococcal | disease | review | pathogen | pvo [SUMMARY]
[CONTENT] hospital | sites | records | general | seirei | general hospital | defined | patients | criteria | considered [SUMMARY]
[CONTENT] patients | patient | abscess | pvo | pneumonia | patients pvo | infection | died | infective | pneumococcal [SUMMARY]
[CONTENT] osteomyelitis | vertebral | vertebral osteomyelitis | mortality pvo low early | mortality pvo low | study suggests | study suggests vertebral | study suggests vertebral osteomyelitis | management pneumoniae considered important | adult patients ipd mortality [SUMMARY]
[CONTENT] patients | pvo | cases | patient | hospital | pneumococcal | osteomyelitis | vertebral osteomyelitis | vertebral | general hospital [SUMMARY]
[CONTENT] patients | pvo | cases | patient | hospital | pneumococcal | osteomyelitis | vertebral osteomyelitis | vertebral | general hospital [SUMMARY]
[CONTENT] PVO ||| PVO [SUMMARY]
[CONTENT] PVO | three | Japan | January 2003 to December 2011 ||| IPD [SUMMARY]
[CONTENT] 208 | IPD | 14 | PVO | 6.4% | 95% | CI | 3.5-10% ||| 14 | nine | age 69 years | PVO ||| Five | 36% | four | 29% ||| 13 | 93% | 12 | 86% ||| nine | 64% | four | 29% ||| 10 | 71% ||| 1 week | 11 | 79% ||| 30 days | day 37 [SUMMARY]
[CONTENT] PVO | IPD ||| [SUMMARY]
[CONTENT] PVO ||| PVO ||| PVO | three | Japan | January 2003 to December 2011 ||| IPD ||| ||| 208 | IPD | 14 | PVO | 6.4% | 95% | CI | 3.5-10% ||| 14 | nine | age 69 years | PVO ||| Five | 36% | four | 29% ||| 13 | 93% | 12 | 86% ||| nine | 64% | four | 29% ||| 10 | 71% ||| 1 week | 11 | 79% ||| 30 days | day 37 ||| PVO | IPD ||| [SUMMARY]
[CONTENT] PVO ||| PVO ||| PVO | three | Japan | January 2003 to December 2011 ||| IPD ||| ||| 208 | IPD | 14 | PVO | 6.4% | 95% | CI | 3.5-10% ||| 14 | nine | age 69 years | PVO ||| Five | 36% | four | 29% ||| 13 | 93% | 12 | 86% ||| nine | 64% | four | 29% ||| 10 | 71% ||| 1 week | 11 | 79% ||| 30 days | day 37 ||| PVO | IPD ||| [SUMMARY]
Inhibition of PAD4 enhances radiosensitivity and inhibits aggressive phenotypes of nasopharyngeal carcinoma cells.
33726680
Nasopharyngeal carcinoma (NPC) is a tumor deriving from nasopharyngeal epithelium. Peptidyl-arginine deiminase 4 (PAD4) is a vital mediator of histone citrullination and plays an essential role in regulating disease process. Radiotherapy is an essential method to treat NPC. In this research, we explored the effect of PAD4 on NPC radiosensitivity.
BACKGROUND
We enrolled 50 NPC patients, established mice xenograft model, and purchased cell lines for this study. Statistical analysis and a series of experiments including RT-qPCR, clonogenic survival, EdU, Transwell, and wound healing assays were done.
METHODS
Our data manifested that PAD4 (mRNA and protein) presented a high expression in NPC tissues and cells. GSK484, an inhibitor of PAD4, could inhibit activity of PAD4 in NPC cell lines. PAD4 overexpression promoted the radioresistance, survival, migration, and invasion of NPC cells, whereas treatment of GSK484 exerted inhibitory effects on radioresistance and aggressive phenotype of NPC cells. Additionally, GSK484 could attenuate the effect of PAD4 of NPC cell progression. More importantly, we found that GSK484 significantly inhibited tumor size, tumor weight and tumor volume in mice following irradiation.
RESULTS
PAD4 inhibitor GSK484 attenuated the radioresistance and cellular progression in NPC.
CONCLUSIONS
[ "Cell Line, Tumor", "Cell Proliferation", "Gene Expression Regulation, Neoplastic", "Humans", "Nasopharyngeal Carcinoma", "Neoplasm Invasiveness", "Phenotype", "Protein-Arginine Deiminase Type 4", "Radiation Tolerance" ]
7962337
Background
Recent studies have revealed that genetic factors, viral infection, and environment are main factors resulting in the occurrence of nasopharyngeal carcinoma (NPC) [1–4]. The incidence rate of NPC ranks the first in the ear, nose and throat malignant tumors in China [5], and the major factors leading to mortality are local relapse and distant metastasis [6]. The 5-year survival rate is about 10% for radiation-resistant patients and 30% for radiation-sensitive patients [7]. Radioresistance severely hampers the efficacy of radiotherapy for patients. Therefore, understanding potential mechanism of NPC radioresistance is of great significance to exploring new strategies for treatment of NPC. Peptidyl-arginine deiminase (PAD), including five isozymes (PAD1−4 and PAD6), can catalyze the reaction of protein citrullination, a process where arginine is converted into residue citrulline [8, 9]. PAD-mediated citrullination can modify multiple cell processes through altering tertiary structure of peptide chain, protein-protein interaction, or generation of neo-epitopes [10, 11]. Protein citrullination plays a key role in mediating protein to exert various pathophysiological effects within one polypeptide chain [12, 13]. Current studies show that protein citrullination is closely related to cancer pathogenesis [14, 15]. Emerging evidence suggests that citrullinated proteins are promising biomarkers for cancer therapy [16]. PAD4 belongs to PAD family [17], converting peptidyl arginine to peptidyl citrulline [18]. The upregulation of PAD4 was reported in varied malignancies, such as rectal adenocarcinoma, breast cancer, and ovarian cancer [19]. Studies have shown that PAD4-catalyzed neutrophil extracellular trap (NET) formation is upregulated in multiple tumors [20]. Multiple components (such as matrix metalloproteinase-9, neutrophil elastase and cathepsin G) in Nets can increase cancer cell growth, angiogenesis and distant metastasis [21, 22]. PAD4 is co-expressed with cytokeratin (CK) in a variety of cancer tissues. CK 8, CK 18, and CK 19 are citrullinated by PAD4, and citrullinated CK antagonizes the cytoskeleton depolymerization process mediated by aspartic acid-specific cysteine proteolytic enzyme, thereby inhibiting tumor cell apoptosis [23]. PAD4 can also affect the metastasis and erosion of tumor cells. The interleukin-8 generated by tumor and microenvironment exerts a critical effect in cancer cell survival, migration, and invasion. PAD4 can convert arginine at the fifth position of interleukin-8 to citrulline to restrain the biological activity of citrullinated interleukin-8 [24]. The generation of tumor-associated thrombosis is related to PAD4 and is usually accompanied by hypercitrullinated levels of histones in plasma in patients with tumor-associated thrombotic microangiopathy [25]. Additionally, PAD4 inhibitors fluoramidine or chloramidine are cytotoxic to a variety of tumor cells, including breast cancer cells, leukemia cells, and colorectal cancer cells [26]. Although numerous studies reveal the essential role of PAD4 in human cancers, its role in NPC is not identified. In this investigation, we explored the role of PAD4 and its inhibitor GSK484 in radioresistance and phenotypes of NPC cells, which demonstrates the potential of PAD4 inhibition for treatment of NPC.
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Results
PAD4 is highly expressed in NPC First, the PAD4 level in NPC tissues was evaluated by RT-qPCR and western blot, and the data demonstrated that PAD4 was high in NPC tissues (Fig. 1a, b). Similarly, the elevated expression of PAD4 was also detected in NPC cells (C666-1, 6-10B and 5-8F) (Fig. 1c, d). Additionally, we also tested the expression levels of the other PAD isozymes (including PAD1, PAD2, and PAD3) in NPC cells, and found that these PAD isozymes had no observable expression change in NPC cells (Additional file 1: Figure S1). Therefore, we hypothesize that PAD4 is the major isozyme in NPC. Fig. 1 The expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 The expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 First, the PAD4 level in NPC tissues was evaluated by RT-qPCR and western blot, and the data demonstrated that PAD4 was high in NPC tissues (Fig. 1a, b). Similarly, the elevated expression of PAD4 was also detected in NPC cells (C666-1, 6-10B and 5-8F) (Fig. 1c, d). Additionally, we also tested the expression levels of the other PAD isozymes (including PAD1, PAD2, and PAD3) in NPC cells, and found that these PAD isozymes had no observable expression change in NPC cells (Additional file 1: Figure S1). Therefore, we hypothesize that PAD4 is the major isozyme in NPC. Fig. 1 The expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 The expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 PAD4 overexpression promotes the radioresistance and cellular processes in NPC The role of PAD4 in NPC was then investigated. PAD4 expression at mRNA and protein level was significantly upregulated by pcDNA3.1/PAD4 in C666-1 and 6-10B cells (Fig. 2a, b). To probe the function of PAD4 on the radiosensitivity of NPC, we performed colony formation assay which revealed that highly expressed PAD4 significantly increased the survival fraction of NPC cells exposed to different dose of radiation (Fig. 2c). EdU assay showed that 6 Gy dose of irradiation repressed the proliferation of C666-1 cells, while overexpressed PAD4 promoted cell proliferation at 24 h after irradiation (Fig. 2d, e). Subsequently, through wound healing assay, PAD4 overexpression facilitated the migratory potential of C666-1 cells at 24 h under irradiation (Fig. 2f). Moreover, Transwell assay indicated that the invasive ability of C666-1 cell after irradiation was increased after PAD4 overexpression (Fig. 2g). Overall, overexpression of PAD4 inhibits radiosensitivity and promotes malignant character of NPC cells. Fig. 2 PAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01 PAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01 The role of PAD4 in NPC was then investigated. PAD4 expression at mRNA and protein level was significantly upregulated by pcDNA3.1/PAD4 in C666-1 and 6-10B cells (Fig. 2a, b). To probe the function of PAD4 on the radiosensitivity of NPC, we performed colony formation assay which revealed that highly expressed PAD4 significantly increased the survival fraction of NPC cells exposed to different dose of radiation (Fig. 2c). EdU assay showed that 6 Gy dose of irradiation repressed the proliferation of C666-1 cells, while overexpressed PAD4 promoted cell proliferation at 24 h after irradiation (Fig. 2d, e). Subsequently, through wound healing assay, PAD4 overexpression facilitated the migratory potential of C666-1 cells at 24 h under irradiation (Fig. 2f). Moreover, Transwell assay indicated that the invasive ability of C666-1 cell after irradiation was increased after PAD4 overexpression (Fig. 2g). Overall, overexpression of PAD4 inhibits radiosensitivity and promotes malignant character of NPC cells. Fig. 2 PAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01 PAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01 Inhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC Next, different concentrations of PAD4 inhibitor (GSK484) was used to treat C666-1 and 6-10B cells. The data delineated that GSK484 concentration-dependently decreased the expression of PAD4 (Fig. 3a, b). As shown in Fig. 3b, the survival fraction of NPC cells exposed to irradiation was significantly inhibited after treatment of GSK484 (Fig. 3c). The results from EdU assay showed that treatment of GSK484 suppressed cell proliferation after irradiation (Fig. 3d). Furthermore, analysis of migration and invasion revealed that treatment of GSK484 restrained the migratory and invasive ability of C666-1 cells (Fig. 3e, f). We further detected the changes of histone citrullination (citH3) to examine whether the activity of PAD4 is in relation to treatment or no treatment with PAD4 inhibitor. Western blot demonstrated that the citH3 protein levels were markedly reduced by PAD4 inhibition (Fig. 3g). The above findings suggested that GSK484 exerts inhibitory effects on radioresistance and aggressive phenotypes of NPC cells through inhibiting the activity of PAD4. Fig. 3 Inhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01 Inhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01 Next, different concentrations of PAD4 inhibitor (GSK484) was used to treat C666-1 and 6-10B cells. The data delineated that GSK484 concentration-dependently decreased the expression of PAD4 (Fig. 3a, b). As shown in Fig. 3b, the survival fraction of NPC cells exposed to irradiation was significantly inhibited after treatment of GSK484 (Fig. 3c). The results from EdU assay showed that treatment of GSK484 suppressed cell proliferation after irradiation (Fig. 3d). Furthermore, analysis of migration and invasion revealed that treatment of GSK484 restrained the migratory and invasive ability of C666-1 cells (Fig. 3e, f). We further detected the changes of histone citrullination (citH3) to examine whether the activity of PAD4 is in relation to treatment or no treatment with PAD4 inhibitor. Western blot demonstrated that the citH3 protein levels were markedly reduced by PAD4 inhibition (Fig. 3g). The above findings suggested that GSK484 exerts inhibitory effects on radioresistance and aggressive phenotypes of NPC cells through inhibiting the activity of PAD4. Fig. 3 Inhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01 Inhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01 Treatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell progression As observed in Fig. 4a, b, GSK484 treatment significantly downregulated the expression of PAD4 upregulated by pcDNA3.1/PAD4 in C666-1 cells. Colony formation assay demonstrated that GSK484 treatment reversed the promotive effect of PAD4 overexpression on the survival fraction of C666-1 cells (Fig. 4c). Moreover, the effects on the increase of aggressive phenotypes of C666-1 cells caused by PAD4 were abrogated after treatment of GSK484 (Fig. 4d, f). Furthermore, in Fig. 4g, citH3 was significantly elevated in PAD4 overexpressed cells but knocked down by GSK484, suggesting that histone citrullination occurs in a PAD4-dependent way. These results suggested the key role of GSK484 in inhibiting the effects of PAD4 on radiosensitivity and malignant phenotype of NPC cells. Fig. 4 Treatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 Treatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 Fig. 5 GSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01 GSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01 As observed in Fig. 4a, b, GSK484 treatment significantly downregulated the expression of PAD4 upregulated by pcDNA3.1/PAD4 in C666-1 cells. Colony formation assay demonstrated that GSK484 treatment reversed the promotive effect of PAD4 overexpression on the survival fraction of C666-1 cells (Fig. 4c). Moreover, the effects on the increase of aggressive phenotypes of C666-1 cells caused by PAD4 were abrogated after treatment of GSK484 (Fig. 4d, f). Furthermore, in Fig. 4g, citH3 was significantly elevated in PAD4 overexpressed cells but knocked down by GSK484, suggesting that histone citrullination occurs in a PAD4-dependent way. These results suggested the key role of GSK484 in inhibiting the effects of PAD4 on radiosensitivity and malignant phenotype of NPC cells. Fig. 4 Treatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 Treatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 Fig. 5 GSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01 GSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01 GSK484 inhibits tumor growth and reverses radioresistance in vivo Since GSK484 could reverse the effect of PAD4 on radioresistance of NPC in vitro, we intended to verify whether it is applicable in vivo. Tumor grow curves revealed that the tumors grew significantly slower in mice treated with GSK484 than in the control group. Additionally, the mice treated with GSK484 were more sensitive to irradiation (Fig. 5a). The weights and images of the tumors further suggested that GSK484 significantly suppressed tumor growth after irradiation (Fig. 5b, c). Overall, GSK484 inhibits tumor growth and reverses radioresistance in vivo. Since GSK484 could reverse the effect of PAD4 on radioresistance of NPC in vitro, we intended to verify whether it is applicable in vivo. Tumor grow curves revealed that the tumors grew significantly slower in mice treated with GSK484 than in the control group. Additionally, the mice treated with GSK484 were more sensitive to irradiation (Fig. 5a). The weights and images of the tumors further suggested that GSK484 significantly suppressed tumor growth after irradiation (Fig. 5b, c). Overall, GSK484 inhibits tumor growth and reverses radioresistance in vivo.
Conclusions
In summary, PAD4 was upregulated in NPC, and its upregulation increased the radioresistance, and cellular processes in NPC, whereas its inhibitor GSK484 elicited inhibitory effects on these phenotypes. Moreover, GSK484 significantly inhibited tumor growth in vivo. Therefore, PAD4 may be a novel biomarker for NPC treatment. Other enzymes or molecules may participate in the PAD4-mediated NPC progression and further investigation could be done in the future.
[ "Background", "Tissue specimens", "Cell culture", "Cell transfection", "RT-qPCR", "Clonogenic survival", "EdU assay", "Wound healing assay", "Transwell assay", "Xenograft mouse model", "Tumor radiosensitivity study", "Statistical analysis", "PAD4 is highly expressed in NPC", "PAD4 overexpression promotes the radioresistance and cellular processes in NPC", "Inhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC", "Treatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell progression", "GSK484 inhibits tumor growth and reverses radioresistance in vivo", "" ]
[ "Recent studies have revealed that genetic factors, viral infection, and environment are main factors resulting in the occurrence of nasopharyngeal carcinoma (NPC) [1–4]. The incidence rate of NPC ranks the first in the ear, nose and throat malignant tumors in China [5], and the major factors leading to mortality are local relapse and distant metastasis [6]. The 5-year survival rate is about 10% for radiation-resistant patients and 30% for radiation-sensitive patients [7]. Radioresistance severely hampers the efficacy of radiotherapy for patients. Therefore, understanding potential mechanism of NPC radioresistance is of great significance to exploring new strategies for treatment of NPC.\nPeptidyl-arginine deiminase (PAD), including five isozymes (PAD1−4 and PAD6), can catalyze the reaction of protein citrullination, a process where arginine is converted into residue citrulline [8, 9]. PAD-mediated citrullination can modify multiple cell processes through altering tertiary structure of peptide chain, protein-protein interaction, or generation of neo-epitopes [10, 11]. Protein citrullination plays a key role in mediating protein to exert various pathophysiological effects within one polypeptide chain [12, 13]. Current studies show that protein citrullination is closely related to cancer pathogenesis [14, 15]. Emerging evidence suggests that citrullinated proteins are promising biomarkers for cancer therapy [16]. PAD4 belongs to PAD family [17], converting peptidyl arginine to peptidyl citrulline [18]. The upregulation of PAD4 was reported in varied malignancies, such as rectal adenocarcinoma, breast cancer, and ovarian cancer [19]. Studies have shown that PAD4-catalyzed neutrophil extracellular trap (NET) formation is upregulated in multiple tumors [20]. Multiple components (such as matrix metalloproteinase-9, neutrophil elastase and cathepsin G) in Nets can increase cancer cell growth, angiogenesis and distant metastasis [21, 22]. PAD4 is co-expressed with cytokeratin (CK) in a variety of cancer tissues. CK 8, CK 18, and CK 19 are citrullinated by PAD4, and citrullinated CK antagonizes the cytoskeleton depolymerization process mediated by aspartic acid-specific cysteine proteolytic enzyme, thereby inhibiting tumor cell apoptosis [23]. PAD4 can also affect the metastasis and erosion of tumor cells. The interleukin-8 generated by tumor and microenvironment exerts a critical effect in cancer cell survival, migration, and invasion. PAD4 can convert arginine at the fifth position of interleukin-8 to citrulline to restrain the biological activity of citrullinated interleukin-8 [24]. The generation of tumor-associated thrombosis is related to PAD4 and is usually accompanied by hypercitrullinated levels of histones in plasma in patients with tumor-associated thrombotic microangiopathy [25]. Additionally, PAD4 inhibitors fluoramidine or chloramidine are cytotoxic to a variety of tumor cells, including breast cancer cells, leukemia cells, and colorectal cancer cells [26]. Although numerous studies reveal the essential role of PAD4 in human cancers, its role in NPC is not identified.\nIn this investigation, we explored the role of PAD4 and its inhibitor GSK484 in radioresistance and phenotypes of NPC cells, which demonstrates the potential of PAD4 inhibition for treatment of NPC.", "NPC tumor specimens were collected from 50 patients with NPC at the Second Nanning People’s Hospital. Informed consent was signed by every participant enrolled in this research. The Ethics Committee of the Second Nanning People’s Hospital approved this study. Approval number: 2019-055 April 9, 2019.", "NPC cells (C666-1, 6-10B and 5-8F) and a normal human nasopharyngeal cell line NP69 were procured from the ATCC (MA, USA). They were grown in RPMI 1640 medium (Gibco, USA) with 10% FBS (Gibco) in a humidified incubator containing 5% CO2 at 37 ℃. NPC cells were treated with gradient concentrations of GSK484 (0, 5, 10, and 20 µm), respectively, for 3 h.", "The pcDNA3.1/PAD4 and pcDNA3.1 were synthesized by Invitrogen. 0.2 µg of vectors were transfected into NPC cells utilizing Lipofectamine 3000 (Invitrogen, USA). After 48 h, the transfection efficiency was tested by RT-qPCR. The cells subjected to transfection was treated with 10 µm GSK484 for 3 h.", "RNA from NPC tissues or cells was isolated by a TRIzol kit (Invitrogen, USA). NanoDrop (Thermo Scientific, USA) was employed for RNA quantification at an A260/A280 ratio. 1 µg RNA was reverse transcribed to cDNA by a M-MLV Reverse Transcriptase (Invitrogen). A SYBR Premix Ex Taq II Kit (Takara, Japan) was used for RT-qPCR. GAPDH served as an endogenous control for PAD4. Relative expression of PAD4 (Forward: CCCAAACAGGGGGTATCAGT; Reverse: CCACGGACAGCCAGTCAGAA) was calculated using the 2−ΔΔCt method [27].", "NPC cells were planted into 6-well plates (Shanghai Zengyou, biotechnology, Shanghai, China) (8000 cells/well) for 24 h. Next, a medical linear accelerator (Precise accelerator, Elekta, Sweden) was used to treat cells with 0, 2, 4, 6, 8 Gy X-ray irradiation at room temperature, respectively. Afterwards, cells were further incubated for 14 days and stained with 1% crystal violet (Beijing Solaibo Technology, China). The colonies over 50 cells were recorded using a light microscope (Olympus Corporation). Surviving fraction was analyzed by the formula: Surviving fraction = amount of colonies/number of total cells × seeding efficiency of the control group.", "The transfected C666-1 cells were inoculated in a 24-well plate (Shanghai Zengyou, biotechnology) and cultured with 50 µM of EdU reagent (RiboBio, Guangzhou, China) for 2 h. Cells were fixed with paraformaldehyde (Sigma-Aldrich), and treated with 100 µl of Apollo solution (Sigma-Aldrich) for 30 min. After that, cell nuclei were dyed by DAPI (Sigma-Aldrich) for 5 min. A fluorescence microscope (Nikon Corporation, Japan) was employed to record EdU positive cells.", "The transfected C666-1 cells were cultured in a 6-well plate (Shanghai Zengyou, biotechnology) in serum-free medium (Gibco). When the culture reached 85%, a 20 µL sterile pipette tip (Gene Era Biotech, USA) was used to scratch the cell layer. After washing, cells were incubated in 1% FBS culture medium (Gibco). After 48 h, images were obtained at different time points by a light microscope (Nikon).", "Briefly, the upper chamber was pre-coated with Matrigel (BD Biosciences, USA), and then 1 × 104 cells were plated in the top chamber of Transwell (Corning Life Sciences, USA) while 500 µL of RPMI 1640 medium with 20% FBS was added to the bottom chamber. After 24 h, the invaded cells were fixed with pre-cooled methanol (Sigma-Aldrich) for 5 min and stained with 1% crystal violet (Beijing Solaibo Technology) for 5 min at room temperature. Images were obtained utilizing a light microscope (magnification, ×100; Nikon).", "\nThe animal study was approved by the Institutional Animal Care and Use Committee of The Second Nanning People’s Hospital. Briefly, 5-week-old BALB/C nude mice (Vital River Laboratories Co., Ltd, Beijing, China) were administrated with subcutaneous injection of 3 × 106 C666-1 cells. For GSK484 in vivo treatment, mice were treated with GSK484 (4 mg/kg) or vehicle (10% DMSO in PBS) through intraperitoneal injection 1 week after tumor implantation, followed by daily dose. The tumor growth was measured using a caliper every 10 days. Tumor volume was calculated by the formula: volume = length× width2 × 0.5.", "As described previously [28], mice were grouped into no irradiation group (n = 4) or irradiation group (n = 4). Irradiation was given 20 days later. Mice in each group were irradiated with 8 Gy irradiation. All mice were killed 20 days following irradiation. Then, tumors were photographed and weighed. Tumor volume was determined by the formula: V = 0.5 × longitudinal diameter × latitudinal diameter2.", "Statistical analysis was conducted with SPSS 20.0 software (IBM Inc., USA). Data are displayed as the mean ± SD and all experiments were repeated three times. Student’s test was employed for comparing statistics between two groups while one-way ANOVA, followed by Tukey’s post hoc test were used for comparing differences among three or more groups. p < 0.05 was statistically significant.", "\nFirst, the PAD4 level in NPC tissues was evaluated by RT-qPCR and western blot, and the data demonstrated that PAD4 was high in NPC tissues (Fig. 1a, b). Similarly, the elevated expression of PAD4 was also detected in NPC cells (C666-1, 6-10B and 5-8F) (Fig. 1c, d). Additionally, we also tested the expression levels of the other PAD isozymes (including PAD1, PAD2, and PAD3) in NPC cells, and found that these PAD isozymes had no observable expression change in NPC cells (Additional file 1: Figure S1). Therefore, we hypothesize that PAD4 is the major isozyme in NPC.\n\nFig. 1\nThe expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01\n\nThe expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01", "The role of PAD4 in NPC was then investigated. PAD4 expression at mRNA and protein level was significantly upregulated by pcDNA3.1/PAD4 in C666-1 and 6-10B cells (Fig. 2a, b). To probe the function of PAD4 on the radiosensitivity of NPC, we performed colony formation assay which revealed that highly expressed PAD4 significantly increased the survival fraction of NPC cells exposed to different dose of radiation (Fig. 2c). EdU assay showed that 6 Gy dose of irradiation repressed the proliferation of C666-1 cells, while overexpressed PAD4 promoted cell proliferation at 24 h after irradiation (Fig. 2d, e). Subsequently, through wound healing assay, PAD4 overexpression facilitated the migratory potential of C666-1 cells at 24 h under irradiation (Fig. 2f). Moreover, Transwell assay indicated that the invasive ability of C666-1 cell after irradiation was increased after PAD4 overexpression (Fig. 2g). Overall, overexpression of PAD4 inhibits radiosensitivity and promotes malignant character of NPC cells.\n\nFig. 2\nPAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01\n\nPAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01", "Next, different concentrations of PAD4 inhibitor (GSK484) was used to treat C666-1 and 6-10B cells. The data delineated that GSK484 concentration-dependently decreased the expression of PAD4 (Fig. 3a, b). As shown in Fig. 3b, the survival fraction of NPC cells exposed to irradiation was significantly inhibited after treatment of GSK484 (Fig. 3c). The results from EdU assay showed that treatment of GSK484 suppressed cell proliferation after irradiation (Fig. 3d). Furthermore, analysis of migration and invasion revealed that treatment of GSK484 restrained the migratory and invasive ability of C666-1 cells (Fig. 3e, f). We further detected the changes of histone citrullination (citH3) to examine whether the activity of PAD4 is in relation to treatment or no treatment with PAD4 inhibitor. Western blot demonstrated that the citH3 protein levels were markedly reduced by PAD4 inhibition (Fig. 3g). The above findings suggested that GSK484 exerts inhibitory effects on radioresistance and aggressive phenotypes of NPC cells through inhibiting the activity of PAD4.\n\nFig. 3\nInhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01\n\nInhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01", "As observed in Fig. 4a, b, GSK484 treatment significantly downregulated the expression of PAD4 upregulated by pcDNA3.1/PAD4 in C666-1 cells. Colony formation assay demonstrated that GSK484 treatment reversed the promotive effect of PAD4 overexpression on the survival fraction of C666-1 cells (Fig. 4c). Moreover, the effects on the increase of aggressive phenotypes of C666-1 cells caused by PAD4 were abrogated after treatment of GSK484 (Fig. 4d, f). Furthermore, in Fig. 4g, citH3 was significantly elevated in PAD4 overexpressed cells but knocked down by GSK484, suggesting that histone citrullination occurs in a PAD4-dependent way. These results suggested the key role of GSK484 in inhibiting the effects of PAD4 on radiosensitivity and malignant phenotype of NPC cells.\n\nFig. 4\nTreatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01\n\nTreatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01\n\nFig. 5\nGSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01\n\nGSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01", "Since GSK484 could reverse the effect of PAD4 on radioresistance of NPC in vitro, we intended to verify whether it is applicable in vivo. Tumor grow curves revealed that the tumors grew significantly slower in mice treated with GSK484 than in the control group. Additionally, the mice treated with GSK484 were more sensitive to irradiation (Fig. 5a). The weights and images of the tumors further suggested that GSK484 significantly suppressed tumor growth after irradiation (Fig. 5b, c). Overall, GSK484 inhibits tumor growth and reverses radioresistance in vivo.", "\nAdditional file 1: Figure S1. The expression level of the other PAD isozymes in NPC. RT-qPCR for the expression of PAD1 (A), PAD2 (B), and PAD3 (C) in NPC cell lines and NP69 cells. One‑way ANOVA with Tukey’s post hoc test.\nAdditional file 1: Figure S1. The expression level of the other PAD isozymes in NPC. RT-qPCR for the expression of PAD1 (A), PAD2 (B), and PAD3 (C) in NPC cell lines and NP69 cells. One‑way ANOVA with Tukey’s post hoc test." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Materials and methods", "Tissue specimens", "Cell culture", "Cell transfection", "RT-qPCR", "Clonogenic survival", "EdU assay", "Wound healing assay", "Transwell assay", "Xenograft mouse model", "Tumor radiosensitivity study", "Statistical analysis", "Results", "PAD4 is highly expressed in NPC", "PAD4 overexpression promotes the radioresistance and cellular processes in NPC", "Inhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC", "Treatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell progression", "GSK484 inhibits tumor growth and reverses radioresistance in vivo", "Discussion", "Conclusions", "Supplementary Information", "" ]
[ "Recent studies have revealed that genetic factors, viral infection, and environment are main factors resulting in the occurrence of nasopharyngeal carcinoma (NPC) [1–4]. The incidence rate of NPC ranks the first in the ear, nose and throat malignant tumors in China [5], and the major factors leading to mortality are local relapse and distant metastasis [6]. The 5-year survival rate is about 10% for radiation-resistant patients and 30% for radiation-sensitive patients [7]. Radioresistance severely hampers the efficacy of radiotherapy for patients. Therefore, understanding potential mechanism of NPC radioresistance is of great significance to exploring new strategies for treatment of NPC.\nPeptidyl-arginine deiminase (PAD), including five isozymes (PAD1−4 and PAD6), can catalyze the reaction of protein citrullination, a process where arginine is converted into residue citrulline [8, 9]. PAD-mediated citrullination can modify multiple cell processes through altering tertiary structure of peptide chain, protein-protein interaction, or generation of neo-epitopes [10, 11]. Protein citrullination plays a key role in mediating protein to exert various pathophysiological effects within one polypeptide chain [12, 13]. Current studies show that protein citrullination is closely related to cancer pathogenesis [14, 15]. Emerging evidence suggests that citrullinated proteins are promising biomarkers for cancer therapy [16]. PAD4 belongs to PAD family [17], converting peptidyl arginine to peptidyl citrulline [18]. The upregulation of PAD4 was reported in varied malignancies, such as rectal adenocarcinoma, breast cancer, and ovarian cancer [19]. Studies have shown that PAD4-catalyzed neutrophil extracellular trap (NET) formation is upregulated in multiple tumors [20]. Multiple components (such as matrix metalloproteinase-9, neutrophil elastase and cathepsin G) in Nets can increase cancer cell growth, angiogenesis and distant metastasis [21, 22]. PAD4 is co-expressed with cytokeratin (CK) in a variety of cancer tissues. CK 8, CK 18, and CK 19 are citrullinated by PAD4, and citrullinated CK antagonizes the cytoskeleton depolymerization process mediated by aspartic acid-specific cysteine proteolytic enzyme, thereby inhibiting tumor cell apoptosis [23]. PAD4 can also affect the metastasis and erosion of tumor cells. The interleukin-8 generated by tumor and microenvironment exerts a critical effect in cancer cell survival, migration, and invasion. PAD4 can convert arginine at the fifth position of interleukin-8 to citrulline to restrain the biological activity of citrullinated interleukin-8 [24]. The generation of tumor-associated thrombosis is related to PAD4 and is usually accompanied by hypercitrullinated levels of histones in plasma in patients with tumor-associated thrombotic microangiopathy [25]. Additionally, PAD4 inhibitors fluoramidine or chloramidine are cytotoxic to a variety of tumor cells, including breast cancer cells, leukemia cells, and colorectal cancer cells [26]. Although numerous studies reveal the essential role of PAD4 in human cancers, its role in NPC is not identified.\nIn this investigation, we explored the role of PAD4 and its inhibitor GSK484 in radioresistance and phenotypes of NPC cells, which demonstrates the potential of PAD4 inhibition for treatment of NPC.", "Tissue specimens NPC tumor specimens were collected from 50 patients with NPC at the Second Nanning People’s Hospital. Informed consent was signed by every participant enrolled in this research. The Ethics Committee of the Second Nanning People’s Hospital approved this study. Approval number: 2019-055 April 9, 2019.\nNPC tumor specimens were collected from 50 patients with NPC at the Second Nanning People’s Hospital. Informed consent was signed by every participant enrolled in this research. The Ethics Committee of the Second Nanning People’s Hospital approved this study. Approval number: 2019-055 April 9, 2019.\nCell culture NPC cells (C666-1, 6-10B and 5-8F) and a normal human nasopharyngeal cell line NP69 were procured from the ATCC (MA, USA). They were grown in RPMI 1640 medium (Gibco, USA) with 10% FBS (Gibco) in a humidified incubator containing 5% CO2 at 37 ℃. NPC cells were treated with gradient concentrations of GSK484 (0, 5, 10, and 20 µm), respectively, for 3 h.\nNPC cells (C666-1, 6-10B and 5-8F) and a normal human nasopharyngeal cell line NP69 were procured from the ATCC (MA, USA). They were grown in RPMI 1640 medium (Gibco, USA) with 10% FBS (Gibco) in a humidified incubator containing 5% CO2 at 37 ℃. NPC cells were treated with gradient concentrations of GSK484 (0, 5, 10, and 20 µm), respectively, for 3 h.\nCell transfection The pcDNA3.1/PAD4 and pcDNA3.1 were synthesized by Invitrogen. 0.2 µg of vectors were transfected into NPC cells utilizing Lipofectamine 3000 (Invitrogen, USA). After 48 h, the transfection efficiency was tested by RT-qPCR. The cells subjected to transfection was treated with 10 µm GSK484 for 3 h.\nThe pcDNA3.1/PAD4 and pcDNA3.1 were synthesized by Invitrogen. 0.2 µg of vectors were transfected into NPC cells utilizing Lipofectamine 3000 (Invitrogen, USA). After 48 h, the transfection efficiency was tested by RT-qPCR. The cells subjected to transfection was treated with 10 µm GSK484 for 3 h.\nRT-qPCR RNA from NPC tissues or cells was isolated by a TRIzol kit (Invitrogen, USA). NanoDrop (Thermo Scientific, USA) was employed for RNA quantification at an A260/A280 ratio. 1 µg RNA was reverse transcribed to cDNA by a M-MLV Reverse Transcriptase (Invitrogen). A SYBR Premix Ex Taq II Kit (Takara, Japan) was used for RT-qPCR. GAPDH served as an endogenous control for PAD4. Relative expression of PAD4 (Forward: CCCAAACAGGGGGTATCAGT; Reverse: CCACGGACAGCCAGTCAGAA) was calculated using the 2−ΔΔCt method [27].\nRNA from NPC tissues or cells was isolated by a TRIzol kit (Invitrogen, USA). NanoDrop (Thermo Scientific, USA) was employed for RNA quantification at an A260/A280 ratio. 1 µg RNA was reverse transcribed to cDNA by a M-MLV Reverse Transcriptase (Invitrogen). A SYBR Premix Ex Taq II Kit (Takara, Japan) was used for RT-qPCR. GAPDH served as an endogenous control for PAD4. Relative expression of PAD4 (Forward: CCCAAACAGGGGGTATCAGT; Reverse: CCACGGACAGCCAGTCAGAA) was calculated using the 2−ΔΔCt method [27].\nClonogenic survival NPC cells were planted into 6-well plates (Shanghai Zengyou, biotechnology, Shanghai, China) (8000 cells/well) for 24 h. Next, a medical linear accelerator (Precise accelerator, Elekta, Sweden) was used to treat cells with 0, 2, 4, 6, 8 Gy X-ray irradiation at room temperature, respectively. Afterwards, cells were further incubated for 14 days and stained with 1% crystal violet (Beijing Solaibo Technology, China). The colonies over 50 cells were recorded using a light microscope (Olympus Corporation). Surviving fraction was analyzed by the formula: Surviving fraction = amount of colonies/number of total cells × seeding efficiency of the control group.\nNPC cells were planted into 6-well plates (Shanghai Zengyou, biotechnology, Shanghai, China) (8000 cells/well) for 24 h. Next, a medical linear accelerator (Precise accelerator, Elekta, Sweden) was used to treat cells with 0, 2, 4, 6, 8 Gy X-ray irradiation at room temperature, respectively. Afterwards, cells were further incubated for 14 days and stained with 1% crystal violet (Beijing Solaibo Technology, China). The colonies over 50 cells were recorded using a light microscope (Olympus Corporation). Surviving fraction was analyzed by the formula: Surviving fraction = amount of colonies/number of total cells × seeding efficiency of the control group.\nEdU assay The transfected C666-1 cells were inoculated in a 24-well plate (Shanghai Zengyou, biotechnology) and cultured with 50 µM of EdU reagent (RiboBio, Guangzhou, China) for 2 h. Cells were fixed with paraformaldehyde (Sigma-Aldrich), and treated with 100 µl of Apollo solution (Sigma-Aldrich) for 30 min. After that, cell nuclei were dyed by DAPI (Sigma-Aldrich) for 5 min. A fluorescence microscope (Nikon Corporation, Japan) was employed to record EdU positive cells.\nThe transfected C666-1 cells were inoculated in a 24-well plate (Shanghai Zengyou, biotechnology) and cultured with 50 µM of EdU reagent (RiboBio, Guangzhou, China) for 2 h. Cells were fixed with paraformaldehyde (Sigma-Aldrich), and treated with 100 µl of Apollo solution (Sigma-Aldrich) for 30 min. After that, cell nuclei were dyed by DAPI (Sigma-Aldrich) for 5 min. A fluorescence microscope (Nikon Corporation, Japan) was employed to record EdU positive cells.\nWound healing assay The transfected C666-1 cells were cultured in a 6-well plate (Shanghai Zengyou, biotechnology) in serum-free medium (Gibco). When the culture reached 85%, a 20 µL sterile pipette tip (Gene Era Biotech, USA) was used to scratch the cell layer. After washing, cells were incubated in 1% FBS culture medium (Gibco). After 48 h, images were obtained at different time points by a light microscope (Nikon).\nThe transfected C666-1 cells were cultured in a 6-well plate (Shanghai Zengyou, biotechnology) in serum-free medium (Gibco). When the culture reached 85%, a 20 µL sterile pipette tip (Gene Era Biotech, USA) was used to scratch the cell layer. After washing, cells were incubated in 1% FBS culture medium (Gibco). After 48 h, images were obtained at different time points by a light microscope (Nikon).\nTranswell assay Briefly, the upper chamber was pre-coated with Matrigel (BD Biosciences, USA), and then 1 × 104 cells were plated in the top chamber of Transwell (Corning Life Sciences, USA) while 500 µL of RPMI 1640 medium with 20% FBS was added to the bottom chamber. After 24 h, the invaded cells were fixed with pre-cooled methanol (Sigma-Aldrich) for 5 min and stained with 1% crystal violet (Beijing Solaibo Technology) for 5 min at room temperature. Images were obtained utilizing a light microscope (magnification, ×100; Nikon).\nBriefly, the upper chamber was pre-coated with Matrigel (BD Biosciences, USA), and then 1 × 104 cells were plated in the top chamber of Transwell (Corning Life Sciences, USA) while 500 µL of RPMI 1640 medium with 20% FBS was added to the bottom chamber. After 24 h, the invaded cells were fixed with pre-cooled methanol (Sigma-Aldrich) for 5 min and stained with 1% crystal violet (Beijing Solaibo Technology) for 5 min at room temperature. Images were obtained utilizing a light microscope (magnification, ×100; Nikon).\nXenograft mouse model \nThe animal study was approved by the Institutional Animal Care and Use Committee of The Second Nanning People’s Hospital. Briefly, 5-week-old BALB/C nude mice (Vital River Laboratories Co., Ltd, Beijing, China) were administrated with subcutaneous injection of 3 × 106 C666-1 cells. For GSK484 in vivo treatment, mice were treated with GSK484 (4 mg/kg) or vehicle (10% DMSO in PBS) through intraperitoneal injection 1 week after tumor implantation, followed by daily dose. The tumor growth was measured using a caliper every 10 days. Tumor volume was calculated by the formula: volume = length× width2 × 0.5.\n\nThe animal study was approved by the Institutional Animal Care and Use Committee of The Second Nanning People’s Hospital. Briefly, 5-week-old BALB/C nude mice (Vital River Laboratories Co., Ltd, Beijing, China) were administrated with subcutaneous injection of 3 × 106 C666-1 cells. For GSK484 in vivo treatment, mice were treated with GSK484 (4 mg/kg) or vehicle (10% DMSO in PBS) through intraperitoneal injection 1 week after tumor implantation, followed by daily dose. The tumor growth was measured using a caliper every 10 days. Tumor volume was calculated by the formula: volume = length× width2 × 0.5.\nTumor radiosensitivity study As described previously [28], mice were grouped into no irradiation group (n = 4) or irradiation group (n = 4). Irradiation was given 20 days later. Mice in each group were irradiated with 8 Gy irradiation. All mice were killed 20 days following irradiation. Then, tumors were photographed and weighed. Tumor volume was determined by the formula: V = 0.5 × longitudinal diameter × latitudinal diameter2.\nAs described previously [28], mice were grouped into no irradiation group (n = 4) or irradiation group (n = 4). Irradiation was given 20 days later. Mice in each group were irradiated with 8 Gy irradiation. All mice were killed 20 days following irradiation. Then, tumors were photographed and weighed. Tumor volume was determined by the formula: V = 0.5 × longitudinal diameter × latitudinal diameter2.\nStatistical analysis Statistical analysis was conducted with SPSS 20.0 software (IBM Inc., USA). Data are displayed as the mean ± SD and all experiments were repeated three times. Student’s test was employed for comparing statistics between two groups while one-way ANOVA, followed by Tukey’s post hoc test were used for comparing differences among three or more groups. p < 0.05 was statistically significant.\nStatistical analysis was conducted with SPSS 20.0 software (IBM Inc., USA). Data are displayed as the mean ± SD and all experiments were repeated three times. Student’s test was employed for comparing statistics between two groups while one-way ANOVA, followed by Tukey’s post hoc test were used for comparing differences among three or more groups. p < 0.05 was statistically significant.", "NPC tumor specimens were collected from 50 patients with NPC at the Second Nanning People’s Hospital. Informed consent was signed by every participant enrolled in this research. The Ethics Committee of the Second Nanning People’s Hospital approved this study. Approval number: 2019-055 April 9, 2019.", "NPC cells (C666-1, 6-10B and 5-8F) and a normal human nasopharyngeal cell line NP69 were procured from the ATCC (MA, USA). They were grown in RPMI 1640 medium (Gibco, USA) with 10% FBS (Gibco) in a humidified incubator containing 5% CO2 at 37 ℃. NPC cells were treated with gradient concentrations of GSK484 (0, 5, 10, and 20 µm), respectively, for 3 h.", "The pcDNA3.1/PAD4 and pcDNA3.1 were synthesized by Invitrogen. 0.2 µg of vectors were transfected into NPC cells utilizing Lipofectamine 3000 (Invitrogen, USA). After 48 h, the transfection efficiency was tested by RT-qPCR. The cells subjected to transfection was treated with 10 µm GSK484 for 3 h.", "RNA from NPC tissues or cells was isolated by a TRIzol kit (Invitrogen, USA). NanoDrop (Thermo Scientific, USA) was employed for RNA quantification at an A260/A280 ratio. 1 µg RNA was reverse transcribed to cDNA by a M-MLV Reverse Transcriptase (Invitrogen). A SYBR Premix Ex Taq II Kit (Takara, Japan) was used for RT-qPCR. GAPDH served as an endogenous control for PAD4. Relative expression of PAD4 (Forward: CCCAAACAGGGGGTATCAGT; Reverse: CCACGGACAGCCAGTCAGAA) was calculated using the 2−ΔΔCt method [27].", "NPC cells were planted into 6-well plates (Shanghai Zengyou, biotechnology, Shanghai, China) (8000 cells/well) for 24 h. Next, a medical linear accelerator (Precise accelerator, Elekta, Sweden) was used to treat cells with 0, 2, 4, 6, 8 Gy X-ray irradiation at room temperature, respectively. Afterwards, cells were further incubated for 14 days and stained with 1% crystal violet (Beijing Solaibo Technology, China). The colonies over 50 cells were recorded using a light microscope (Olympus Corporation). Surviving fraction was analyzed by the formula: Surviving fraction = amount of colonies/number of total cells × seeding efficiency of the control group.", "The transfected C666-1 cells were inoculated in a 24-well plate (Shanghai Zengyou, biotechnology) and cultured with 50 µM of EdU reagent (RiboBio, Guangzhou, China) for 2 h. Cells were fixed with paraformaldehyde (Sigma-Aldrich), and treated with 100 µl of Apollo solution (Sigma-Aldrich) for 30 min. After that, cell nuclei were dyed by DAPI (Sigma-Aldrich) for 5 min. A fluorescence microscope (Nikon Corporation, Japan) was employed to record EdU positive cells.", "The transfected C666-1 cells were cultured in a 6-well plate (Shanghai Zengyou, biotechnology) in serum-free medium (Gibco). When the culture reached 85%, a 20 µL sterile pipette tip (Gene Era Biotech, USA) was used to scratch the cell layer. After washing, cells were incubated in 1% FBS culture medium (Gibco). After 48 h, images were obtained at different time points by a light microscope (Nikon).", "Briefly, the upper chamber was pre-coated with Matrigel (BD Biosciences, USA), and then 1 × 104 cells were plated in the top chamber of Transwell (Corning Life Sciences, USA) while 500 µL of RPMI 1640 medium with 20% FBS was added to the bottom chamber. After 24 h, the invaded cells were fixed with pre-cooled methanol (Sigma-Aldrich) for 5 min and stained with 1% crystal violet (Beijing Solaibo Technology) for 5 min at room temperature. Images were obtained utilizing a light microscope (magnification, ×100; Nikon).", "\nThe animal study was approved by the Institutional Animal Care and Use Committee of The Second Nanning People’s Hospital. Briefly, 5-week-old BALB/C nude mice (Vital River Laboratories Co., Ltd, Beijing, China) were administrated with subcutaneous injection of 3 × 106 C666-1 cells. For GSK484 in vivo treatment, mice were treated with GSK484 (4 mg/kg) or vehicle (10% DMSO in PBS) through intraperitoneal injection 1 week after tumor implantation, followed by daily dose. The tumor growth was measured using a caliper every 10 days. Tumor volume was calculated by the formula: volume = length× width2 × 0.5.", "As described previously [28], mice were grouped into no irradiation group (n = 4) or irradiation group (n = 4). Irradiation was given 20 days later. Mice in each group were irradiated with 8 Gy irradiation. All mice were killed 20 days following irradiation. Then, tumors were photographed and weighed. Tumor volume was determined by the formula: V = 0.5 × longitudinal diameter × latitudinal diameter2.", "Statistical analysis was conducted with SPSS 20.0 software (IBM Inc., USA). Data are displayed as the mean ± SD and all experiments were repeated three times. Student’s test was employed for comparing statistics between two groups while one-way ANOVA, followed by Tukey’s post hoc test were used for comparing differences among three or more groups. p < 0.05 was statistically significant.", "PAD4 is highly expressed in NPC \nFirst, the PAD4 level in NPC tissues was evaluated by RT-qPCR and western blot, and the data demonstrated that PAD4 was high in NPC tissues (Fig. 1a, b). Similarly, the elevated expression of PAD4 was also detected in NPC cells (C666-1, 6-10B and 5-8F) (Fig. 1c, d). Additionally, we also tested the expression levels of the other PAD isozymes (including PAD1, PAD2, and PAD3) in NPC cells, and found that these PAD isozymes had no observable expression change in NPC cells (Additional file 1: Figure S1). Therefore, we hypothesize that PAD4 is the major isozyme in NPC.\n\nFig. 1\nThe expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01\n\nThe expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01\n\nFirst, the PAD4 level in NPC tissues was evaluated by RT-qPCR and western blot, and the data demonstrated that PAD4 was high in NPC tissues (Fig. 1a, b). Similarly, the elevated expression of PAD4 was also detected in NPC cells (C666-1, 6-10B and 5-8F) (Fig. 1c, d). Additionally, we also tested the expression levels of the other PAD isozymes (including PAD1, PAD2, and PAD3) in NPC cells, and found that these PAD isozymes had no observable expression change in NPC cells (Additional file 1: Figure S1). Therefore, we hypothesize that PAD4 is the major isozyme in NPC.\n\nFig. 1\nThe expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01\n\nThe expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01\nPAD4 overexpression promotes the radioresistance and cellular processes in NPC The role of PAD4 in NPC was then investigated. PAD4 expression at mRNA and protein level was significantly upregulated by pcDNA3.1/PAD4 in C666-1 and 6-10B cells (Fig. 2a, b). To probe the function of PAD4 on the radiosensitivity of NPC, we performed colony formation assay which revealed that highly expressed PAD4 significantly increased the survival fraction of NPC cells exposed to different dose of radiation (Fig. 2c). EdU assay showed that 6 Gy dose of irradiation repressed the proliferation of C666-1 cells, while overexpressed PAD4 promoted cell proliferation at 24 h after irradiation (Fig. 2d, e). Subsequently, through wound healing assay, PAD4 overexpression facilitated the migratory potential of C666-1 cells at 24 h under irradiation (Fig. 2f). Moreover, Transwell assay indicated that the invasive ability of C666-1 cell after irradiation was increased after PAD4 overexpression (Fig. 2g). Overall, overexpression of PAD4 inhibits radiosensitivity and promotes malignant character of NPC cells.\n\nFig. 2\nPAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01\n\nPAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01\nThe role of PAD4 in NPC was then investigated. PAD4 expression at mRNA and protein level was significantly upregulated by pcDNA3.1/PAD4 in C666-1 and 6-10B cells (Fig. 2a, b). To probe the function of PAD4 on the radiosensitivity of NPC, we performed colony formation assay which revealed that highly expressed PAD4 significantly increased the survival fraction of NPC cells exposed to different dose of radiation (Fig. 2c). EdU assay showed that 6 Gy dose of irradiation repressed the proliferation of C666-1 cells, while overexpressed PAD4 promoted cell proliferation at 24 h after irradiation (Fig. 2d, e). Subsequently, through wound healing assay, PAD4 overexpression facilitated the migratory potential of C666-1 cells at 24 h under irradiation (Fig. 2f). Moreover, Transwell assay indicated that the invasive ability of C666-1 cell after irradiation was increased after PAD4 overexpression (Fig. 2g). Overall, overexpression of PAD4 inhibits radiosensitivity and promotes malignant character of NPC cells.\n\nFig. 2\nPAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01\n\nPAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01\nInhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC Next, different concentrations of PAD4 inhibitor (GSK484) was used to treat C666-1 and 6-10B cells. The data delineated that GSK484 concentration-dependently decreased the expression of PAD4 (Fig. 3a, b). As shown in Fig. 3b, the survival fraction of NPC cells exposed to irradiation was significantly inhibited after treatment of GSK484 (Fig. 3c). The results from EdU assay showed that treatment of GSK484 suppressed cell proliferation after irradiation (Fig. 3d). Furthermore, analysis of migration and invasion revealed that treatment of GSK484 restrained the migratory and invasive ability of C666-1 cells (Fig. 3e, f). We further detected the changes of histone citrullination (citH3) to examine whether the activity of PAD4 is in relation to treatment or no treatment with PAD4 inhibitor. Western blot demonstrated that the citH3 protein levels were markedly reduced by PAD4 inhibition (Fig. 3g). The above findings suggested that GSK484 exerts inhibitory effects on radioresistance and aggressive phenotypes of NPC cells through inhibiting the activity of PAD4.\n\nFig. 3\nInhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01\n\nInhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01\nNext, different concentrations of PAD4 inhibitor (GSK484) was used to treat C666-1 and 6-10B cells. The data delineated that GSK484 concentration-dependently decreased the expression of PAD4 (Fig. 3a, b). As shown in Fig. 3b, the survival fraction of NPC cells exposed to irradiation was significantly inhibited after treatment of GSK484 (Fig. 3c). The results from EdU assay showed that treatment of GSK484 suppressed cell proliferation after irradiation (Fig. 3d). Furthermore, analysis of migration and invasion revealed that treatment of GSK484 restrained the migratory and invasive ability of C666-1 cells (Fig. 3e, f). We further detected the changes of histone citrullination (citH3) to examine whether the activity of PAD4 is in relation to treatment or no treatment with PAD4 inhibitor. Western blot demonstrated that the citH3 protein levels were markedly reduced by PAD4 inhibition (Fig. 3g). The above findings suggested that GSK484 exerts inhibitory effects on radioresistance and aggressive phenotypes of NPC cells through inhibiting the activity of PAD4.\n\nFig. 3\nInhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01\n\nInhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01\nTreatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell progression As observed in Fig. 4a, b, GSK484 treatment significantly downregulated the expression of PAD4 upregulated by pcDNA3.1/PAD4 in C666-1 cells. Colony formation assay demonstrated that GSK484 treatment reversed the promotive effect of PAD4 overexpression on the survival fraction of C666-1 cells (Fig. 4c). Moreover, the effects on the increase of aggressive phenotypes of C666-1 cells caused by PAD4 were abrogated after treatment of GSK484 (Fig. 4d, f). Furthermore, in Fig. 4g, citH3 was significantly elevated in PAD4 overexpressed cells but knocked down by GSK484, suggesting that histone citrullination occurs in a PAD4-dependent way. These results suggested the key role of GSK484 in inhibiting the effects of PAD4 on radiosensitivity and malignant phenotype of NPC cells.\n\nFig. 4\nTreatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01\n\nTreatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01\n\nFig. 5\nGSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01\n\nGSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01\nAs observed in Fig. 4a, b, GSK484 treatment significantly downregulated the expression of PAD4 upregulated by pcDNA3.1/PAD4 in C666-1 cells. Colony formation assay demonstrated that GSK484 treatment reversed the promotive effect of PAD4 overexpression on the survival fraction of C666-1 cells (Fig. 4c). Moreover, the effects on the increase of aggressive phenotypes of C666-1 cells caused by PAD4 were abrogated after treatment of GSK484 (Fig. 4d, f). Furthermore, in Fig. 4g, citH3 was significantly elevated in PAD4 overexpressed cells but knocked down by GSK484, suggesting that histone citrullination occurs in a PAD4-dependent way. These results suggested the key role of GSK484 in inhibiting the effects of PAD4 on radiosensitivity and malignant phenotype of NPC cells.\n\nFig. 4\nTreatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01\n\nTreatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01\n\nFig. 5\nGSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01\n\nGSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01\nGSK484 inhibits tumor growth and reverses radioresistance in vivo Since GSK484 could reverse the effect of PAD4 on radioresistance of NPC in vitro, we intended to verify whether it is applicable in vivo. Tumor grow curves revealed that the tumors grew significantly slower in mice treated with GSK484 than in the control group. Additionally, the mice treated with GSK484 were more sensitive to irradiation (Fig. 5a). The weights and images of the tumors further suggested that GSK484 significantly suppressed tumor growth after irradiation (Fig. 5b, c). Overall, GSK484 inhibits tumor growth and reverses radioresistance in vivo.\nSince GSK484 could reverse the effect of PAD4 on radioresistance of NPC in vitro, we intended to verify whether it is applicable in vivo. Tumor grow curves revealed that the tumors grew significantly slower in mice treated with GSK484 than in the control group. Additionally, the mice treated with GSK484 were more sensitive to irradiation (Fig. 5a). The weights and images of the tumors further suggested that GSK484 significantly suppressed tumor growth after irradiation (Fig. 5b, c). Overall, GSK484 inhibits tumor growth and reverses radioresistance in vivo.", "\nFirst, the PAD4 level in NPC tissues was evaluated by RT-qPCR and western blot, and the data demonstrated that PAD4 was high in NPC tissues (Fig. 1a, b). Similarly, the elevated expression of PAD4 was also detected in NPC cells (C666-1, 6-10B and 5-8F) (Fig. 1c, d). Additionally, we also tested the expression levels of the other PAD isozymes (including PAD1, PAD2, and PAD3) in NPC cells, and found that these PAD isozymes had no observable expression change in NPC cells (Additional file 1: Figure S1). Therefore, we hypothesize that PAD4 is the major isozyme in NPC.\n\nFig. 1\nThe expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01\n\nThe expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01", "The role of PAD4 in NPC was then investigated. PAD4 expression at mRNA and protein level was significantly upregulated by pcDNA3.1/PAD4 in C666-1 and 6-10B cells (Fig. 2a, b). To probe the function of PAD4 on the radiosensitivity of NPC, we performed colony formation assay which revealed that highly expressed PAD4 significantly increased the survival fraction of NPC cells exposed to different dose of radiation (Fig. 2c). EdU assay showed that 6 Gy dose of irradiation repressed the proliferation of C666-1 cells, while overexpressed PAD4 promoted cell proliferation at 24 h after irradiation (Fig. 2d, e). Subsequently, through wound healing assay, PAD4 overexpression facilitated the migratory potential of C666-1 cells at 24 h under irradiation (Fig. 2f). Moreover, Transwell assay indicated that the invasive ability of C666-1 cell after irradiation was increased after PAD4 overexpression (Fig. 2g). Overall, overexpression of PAD4 inhibits radiosensitivity and promotes malignant character of NPC cells.\n\nFig. 2\nPAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01\n\nPAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01", "Next, different concentrations of PAD4 inhibitor (GSK484) was used to treat C666-1 and 6-10B cells. The data delineated that GSK484 concentration-dependently decreased the expression of PAD4 (Fig. 3a, b). As shown in Fig. 3b, the survival fraction of NPC cells exposed to irradiation was significantly inhibited after treatment of GSK484 (Fig. 3c). The results from EdU assay showed that treatment of GSK484 suppressed cell proliferation after irradiation (Fig. 3d). Furthermore, analysis of migration and invasion revealed that treatment of GSK484 restrained the migratory and invasive ability of C666-1 cells (Fig. 3e, f). We further detected the changes of histone citrullination (citH3) to examine whether the activity of PAD4 is in relation to treatment or no treatment with PAD4 inhibitor. Western blot demonstrated that the citH3 protein levels were markedly reduced by PAD4 inhibition (Fig. 3g). The above findings suggested that GSK484 exerts inhibitory effects on radioresistance and aggressive phenotypes of NPC cells through inhibiting the activity of PAD4.\n\nFig. 3\nInhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01\n\nInhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01", "As observed in Fig. 4a, b, GSK484 treatment significantly downregulated the expression of PAD4 upregulated by pcDNA3.1/PAD4 in C666-1 cells. Colony formation assay demonstrated that GSK484 treatment reversed the promotive effect of PAD4 overexpression on the survival fraction of C666-1 cells (Fig. 4c). Moreover, the effects on the increase of aggressive phenotypes of C666-1 cells caused by PAD4 were abrogated after treatment of GSK484 (Fig. 4d, f). Furthermore, in Fig. 4g, citH3 was significantly elevated in PAD4 overexpressed cells but knocked down by GSK484, suggesting that histone citrullination occurs in a PAD4-dependent way. These results suggested the key role of GSK484 in inhibiting the effects of PAD4 on radiosensitivity and malignant phenotype of NPC cells.\n\nFig. 4\nTreatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01\n\nTreatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01\n\nFig. 5\nGSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01\n\nGSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01", "Since GSK484 could reverse the effect of PAD4 on radioresistance of NPC in vitro, we intended to verify whether it is applicable in vivo. Tumor grow curves revealed that the tumors grew significantly slower in mice treated with GSK484 than in the control group. Additionally, the mice treated with GSK484 were more sensitive to irradiation (Fig. 5a). The weights and images of the tumors further suggested that GSK484 significantly suppressed tumor growth after irradiation (Fig. 5b, c). Overall, GSK484 inhibits tumor growth and reverses radioresistance in vivo.", "NPC is an epithelial malignancy with a high mortality and is a major cause of cancer-associated death in South China, North Africa, and Southeast Asia [29]. Since cancers cells are sensitive to ionizing radiation (IR), up to date, radiotherapy has become a preferred method for cancer treatment [30, 31]. NPC patients at early stage tend to be efficiently subjected to radiotherapy [32]. Additionally, radiotherapy in combination with immunotherapy or chemotherapy may affect tumor immune response, giving rise to clinical improvement in various tumors [33]. Although better tumor localization through advanced radiotherapy techniques can help improving local control of NPC, radioresistance, which may result in tumor recurrence and metastasis, is a major barrier to long-term survival [34, 35]. One and a half years after radiotherapy, most patients with NPC suffer from local recurrence and distant metastasis [34]. Thus, exploring the mechanisms of radioresistance in NPC is essential for identifying more effective therapies for NPC.\nMore and more reports have indicated that PAD4 was a possible gene involved in epigenetic and phenotypic alteration in various cancers [36–38]. In the present study, the upregulated mRNA and protein expression of PAD4 in NPC was demonstrated, which is in line with the previous results that PAD4 is overexpressed in a variety of malignancies [39]. Since different cancers do have different PAD isozyme dominance, we performed an assessment on this through measuring the expression of the other isozymes in NPC cells. Our data revealed that these PAD isozymes had no significant expression change in NPC cells. Therefore, we concluded that PAD4 is the major isozyme in NPC. NPC cells were transfected with stable overexpression vector of PAD4 to determine the role of PAD4 in NPC progression. Interestingly, our findings showed that upregulated PAD4 promoted malignant character of NPC cells. As reported previously, inhibition of PAD4 suppresses the invasive and migratory phenotypes of lung cancer cells [40]. Silencing PAD4 attenuates gastric cancer cell proliferation, invasion, and cell cycle [38]. PAD4 facilitates gastric tumorigenesis via enhancing the expression of several oncogenes [41]. These literatures demonstrate the oncogenic property of PAD4 in tumorigenesis.\nGSK484 hydrochloride suppresses the PAD4 target protein citrullination and reduces NETs formation by binding to low-calcium form of PAD4 in a selective and reversible way [42]. GSK484 is selective for PAD4 over PAD1–3. It binds at a different site from the amidines, a conformation of the PAD4 active site where part of the site is re-ordered to form a β-hairpin [42]. To test the phenotypes of NPC cells in the absence of PAD4, we used GSK484 to treat NPC cells. As expected, GSK484 treatment of cell lines decreased the expression of PAD4 (mRNA and protein) in a concentration-dependent manner. Moreover, GSK484 markedly inhibited the malignant character of NPC cells. Previous studies proved the regulatory role of PAD4 in cancers through citrullination. PAD4-driven citrullination of a key matrix component collagen type I contributes to mesenchymal-to-epithelial transition (EMT), a phenotypic conversion that occurs in cancer cells, and liver metastasis in colorectal cancer [16]. Ectopically expressing wild type PAD4 promotes osteosarcoma cell invasion and migration while PAD4 mutation with no citrullination activity fails to affect cell phenotypes [43]. Subsequently, to examine whether this effect is associated with its citrullination activity, the changes of citH3 were detected to examine the citrullination activity of PAD4 in the context of GSK484. The results revealed treatment with GSK484 reduced the levels of citH3 protein, which is also an indicator of PAD4 activity, suggesting that GSK484 exerts inhibitory effects on NPC progression through inhibiting the citrullination activity of PAD4. However, since GSK484 is a reversible inhibitor of PAD4, prolong the incubation time between GSK484 and PAD4 may prevent the inactivation of PAD4. A deeper investigation verifying this point should be performed in the future. Interestingly, a study indicated that loss of PAD4 accelerates induction of EMT and invasion of tumors in breast cancer by the citrullination of nuclear GSK3β activating TGF-β pathway [44]. This finding is contrary to our study. The differences in cancer cell response to PAD4 may be due to the function diversity of PAD4 in different cancers.\nHowever, there are certain limitations to our work. The mechanism by which PAD4 regulates its targets in NPC is unclear. Additionally, it is unknown whether there are other PAD isozymes or molecules such as GSK3β involved in PAD4-mediated phenotypic alternation in NPC. PAD4 has been shown to act as a transcriptional coregulator of many factors including p53, ING4, ELK1, p21, p300,and CIP1 [45–47]. Studies have indicated that the link between PAD4 and carcinogenesis is mediated through the p53 tumor suppressor gene via citrullination of citH3 [45] or the ELK1 oncogene to activate cFos [48]. Therefore, a significant future direction is to identify the potential targets or signaling pathways that PAD4 mediates in NPC.", "In summary, PAD4 was upregulated in NPC, and its upregulation increased the radioresistance, and cellular processes in NPC, whereas its inhibitor GSK484 elicited inhibitory effects on these phenotypes. Moreover, GSK484 significantly inhibited tumor growth in vivo. Therefore, PAD4 may be a novel biomarker for NPC treatment. Other enzymes or molecules may participate in the PAD4-mediated NPC progression and further investigation could be done in the future.", " \nAdditional file 1: Figure S1. The expression level of the other PAD isozymes in NPC. RT-qPCR for the expression of PAD1 (A), PAD2 (B), and PAD3 (C) in NPC cell lines and NP69 cells. One‑way ANOVA with Tukey’s post hoc test.\nAdditional file 1: Figure S1. The expression level of the other PAD isozymes in NPC. RT-qPCR for the expression of PAD1 (A), PAD2 (B), and PAD3 (C) in NPC cell lines and NP69 cells. One‑way ANOVA with Tukey’s post hoc test.\n\nAdditional file 1: Figure S1. The expression level of the other PAD isozymes in NPC. RT-qPCR for the expression of PAD1 (A), PAD2 (B), and PAD3 (C) in NPC cell lines and NP69 cells. One‑way ANOVA with Tukey’s post hoc test.\nAdditional file 1: Figure S1. The expression level of the other PAD isozymes in NPC. RT-qPCR for the expression of PAD1 (A), PAD2 (B), and PAD3 (C) in NPC cell lines and NP69 cells. One‑way ANOVA with Tukey’s post hoc test.", "\nAdditional file 1: Figure S1. The expression level of the other PAD isozymes in NPC. RT-qPCR for the expression of PAD1 (A), PAD2 (B), and PAD3 (C) in NPC cell lines and NP69 cells. One‑way ANOVA with Tukey’s post hoc test.\nAdditional file 1: Figure S1. The expression level of the other PAD isozymes in NPC. RT-qPCR for the expression of PAD1 (A), PAD2 (B), and PAD3 (C) in NPC cell lines and NP69 cells. One‑way ANOVA with Tukey’s post hoc test." ]
[ null, "materials|methods", null, null, null, null, null, null, null, null, null, null, null, "results", null, null, null, null, null, "discussion", "conclusion", "supplementary-material", null ]
[ "PAD4", "GSK484", "Radiosensitivity", "Nasopharyngeal carcinoma" ]
Background: Recent studies have revealed that genetic factors, viral infection, and environment are main factors resulting in the occurrence of nasopharyngeal carcinoma (NPC) [1–4]. The incidence rate of NPC ranks the first in the ear, nose and throat malignant tumors in China [5], and the major factors leading to mortality are local relapse and distant metastasis [6]. The 5-year survival rate is about 10% for radiation-resistant patients and 30% for radiation-sensitive patients [7]. Radioresistance severely hampers the efficacy of radiotherapy for patients. Therefore, understanding potential mechanism of NPC radioresistance is of great significance to exploring new strategies for treatment of NPC. Peptidyl-arginine deiminase (PAD), including five isozymes (PAD1−4 and PAD6), can catalyze the reaction of protein citrullination, a process where arginine is converted into residue citrulline [8, 9]. PAD-mediated citrullination can modify multiple cell processes through altering tertiary structure of peptide chain, protein-protein interaction, or generation of neo-epitopes [10, 11]. Protein citrullination plays a key role in mediating protein to exert various pathophysiological effects within one polypeptide chain [12, 13]. Current studies show that protein citrullination is closely related to cancer pathogenesis [14, 15]. Emerging evidence suggests that citrullinated proteins are promising biomarkers for cancer therapy [16]. PAD4 belongs to PAD family [17], converting peptidyl arginine to peptidyl citrulline [18]. The upregulation of PAD4 was reported in varied malignancies, such as rectal adenocarcinoma, breast cancer, and ovarian cancer [19]. Studies have shown that PAD4-catalyzed neutrophil extracellular trap (NET) formation is upregulated in multiple tumors [20]. Multiple components (such as matrix metalloproteinase-9, neutrophil elastase and cathepsin G) in Nets can increase cancer cell growth, angiogenesis and distant metastasis [21, 22]. PAD4 is co-expressed with cytokeratin (CK) in a variety of cancer tissues. CK 8, CK 18, and CK 19 are citrullinated by PAD4, and citrullinated CK antagonizes the cytoskeleton depolymerization process mediated by aspartic acid-specific cysteine proteolytic enzyme, thereby inhibiting tumor cell apoptosis [23]. PAD4 can also affect the metastasis and erosion of tumor cells. The interleukin-8 generated by tumor and microenvironment exerts a critical effect in cancer cell survival, migration, and invasion. PAD4 can convert arginine at the fifth position of interleukin-8 to citrulline to restrain the biological activity of citrullinated interleukin-8 [24]. The generation of tumor-associated thrombosis is related to PAD4 and is usually accompanied by hypercitrullinated levels of histones in plasma in patients with tumor-associated thrombotic microangiopathy [25]. Additionally, PAD4 inhibitors fluoramidine or chloramidine are cytotoxic to a variety of tumor cells, including breast cancer cells, leukemia cells, and colorectal cancer cells [26]. Although numerous studies reveal the essential role of PAD4 in human cancers, its role in NPC is not identified. In this investigation, we explored the role of PAD4 and its inhibitor GSK484 in radioresistance and phenotypes of NPC cells, which demonstrates the potential of PAD4 inhibition for treatment of NPC. Materials and methods: Tissue specimens NPC tumor specimens were collected from 50 patients with NPC at the Second Nanning People’s Hospital. Informed consent was signed by every participant enrolled in this research. The Ethics Committee of the Second Nanning People’s Hospital approved this study. Approval number: 2019-055 April 9, 2019. NPC tumor specimens were collected from 50 patients with NPC at the Second Nanning People’s Hospital. Informed consent was signed by every participant enrolled in this research. The Ethics Committee of the Second Nanning People’s Hospital approved this study. Approval number: 2019-055 April 9, 2019. Cell culture NPC cells (C666-1, 6-10B and 5-8F) and a normal human nasopharyngeal cell line NP69 were procured from the ATCC (MA, USA). They were grown in RPMI 1640 medium (Gibco, USA) with 10% FBS (Gibco) in a humidified incubator containing 5% CO2 at 37 ℃. NPC cells were treated with gradient concentrations of GSK484 (0, 5, 10, and 20 µm), respectively, for 3 h. NPC cells (C666-1, 6-10B and 5-8F) and a normal human nasopharyngeal cell line NP69 were procured from the ATCC (MA, USA). They were grown in RPMI 1640 medium (Gibco, USA) with 10% FBS (Gibco) in a humidified incubator containing 5% CO2 at 37 ℃. NPC cells were treated with gradient concentrations of GSK484 (0, 5, 10, and 20 µm), respectively, for 3 h. Cell transfection The pcDNA3.1/PAD4 and pcDNA3.1 were synthesized by Invitrogen. 0.2 µg of vectors were transfected into NPC cells utilizing Lipofectamine 3000 (Invitrogen, USA). After 48 h, the transfection efficiency was tested by RT-qPCR. The cells subjected to transfection was treated with 10 µm GSK484 for 3 h. The pcDNA3.1/PAD4 and pcDNA3.1 were synthesized by Invitrogen. 0.2 µg of vectors were transfected into NPC cells utilizing Lipofectamine 3000 (Invitrogen, USA). After 48 h, the transfection efficiency was tested by RT-qPCR. The cells subjected to transfection was treated with 10 µm GSK484 for 3 h. RT-qPCR RNA from NPC tissues or cells was isolated by a TRIzol kit (Invitrogen, USA). NanoDrop (Thermo Scientific, USA) was employed for RNA quantification at an A260/A280 ratio. 1 µg RNA was reverse transcribed to cDNA by a M-MLV Reverse Transcriptase (Invitrogen). A SYBR Premix Ex Taq II Kit (Takara, Japan) was used for RT-qPCR. GAPDH served as an endogenous control for PAD4. Relative expression of PAD4 (Forward: CCCAAACAGGGGGTATCAGT; Reverse: CCACGGACAGCCAGTCAGAA) was calculated using the 2−ΔΔCt method [27]. RNA from NPC tissues or cells was isolated by a TRIzol kit (Invitrogen, USA). NanoDrop (Thermo Scientific, USA) was employed for RNA quantification at an A260/A280 ratio. 1 µg RNA was reverse transcribed to cDNA by a M-MLV Reverse Transcriptase (Invitrogen). A SYBR Premix Ex Taq II Kit (Takara, Japan) was used for RT-qPCR. GAPDH served as an endogenous control for PAD4. Relative expression of PAD4 (Forward: CCCAAACAGGGGGTATCAGT; Reverse: CCACGGACAGCCAGTCAGAA) was calculated using the 2−ΔΔCt method [27]. Clonogenic survival NPC cells were planted into 6-well plates (Shanghai Zengyou, biotechnology, Shanghai, China) (8000 cells/well) for 24 h. Next, a medical linear accelerator (Precise accelerator, Elekta, Sweden) was used to treat cells with 0, 2, 4, 6, 8 Gy X-ray irradiation at room temperature, respectively. Afterwards, cells were further incubated for 14 days and stained with 1% crystal violet (Beijing Solaibo Technology, China). The colonies over 50 cells were recorded using a light microscope (Olympus Corporation). Surviving fraction was analyzed by the formula: Surviving fraction = amount of colonies/number of total cells × seeding efficiency of the control group. NPC cells were planted into 6-well plates (Shanghai Zengyou, biotechnology, Shanghai, China) (8000 cells/well) for 24 h. Next, a medical linear accelerator (Precise accelerator, Elekta, Sweden) was used to treat cells with 0, 2, 4, 6, 8 Gy X-ray irradiation at room temperature, respectively. Afterwards, cells were further incubated for 14 days and stained with 1% crystal violet (Beijing Solaibo Technology, China). The colonies over 50 cells were recorded using a light microscope (Olympus Corporation). Surviving fraction was analyzed by the formula: Surviving fraction = amount of colonies/number of total cells × seeding efficiency of the control group. EdU assay The transfected C666-1 cells were inoculated in a 24-well plate (Shanghai Zengyou, biotechnology) and cultured with 50 µM of EdU reagent (RiboBio, Guangzhou, China) for 2 h. Cells were fixed with paraformaldehyde (Sigma-Aldrich), and treated with 100 µl of Apollo solution (Sigma-Aldrich) for 30 min. After that, cell nuclei were dyed by DAPI (Sigma-Aldrich) for 5 min. A fluorescence microscope (Nikon Corporation, Japan) was employed to record EdU positive cells. The transfected C666-1 cells were inoculated in a 24-well plate (Shanghai Zengyou, biotechnology) and cultured with 50 µM of EdU reagent (RiboBio, Guangzhou, China) for 2 h. Cells were fixed with paraformaldehyde (Sigma-Aldrich), and treated with 100 µl of Apollo solution (Sigma-Aldrich) for 30 min. After that, cell nuclei were dyed by DAPI (Sigma-Aldrich) for 5 min. A fluorescence microscope (Nikon Corporation, Japan) was employed to record EdU positive cells. Wound healing assay The transfected C666-1 cells were cultured in a 6-well plate (Shanghai Zengyou, biotechnology) in serum-free medium (Gibco). When the culture reached 85%, a 20 µL sterile pipette tip (Gene Era Biotech, USA) was used to scratch the cell layer. After washing, cells were incubated in 1% FBS culture medium (Gibco). After 48 h, images were obtained at different time points by a light microscope (Nikon). The transfected C666-1 cells were cultured in a 6-well plate (Shanghai Zengyou, biotechnology) in serum-free medium (Gibco). When the culture reached 85%, a 20 µL sterile pipette tip (Gene Era Biotech, USA) was used to scratch the cell layer. After washing, cells were incubated in 1% FBS culture medium (Gibco). After 48 h, images were obtained at different time points by a light microscope (Nikon). Transwell assay Briefly, the upper chamber was pre-coated with Matrigel (BD Biosciences, USA), and then 1 × 104 cells were plated in the top chamber of Transwell (Corning Life Sciences, USA) while 500 µL of RPMI 1640 medium with 20% FBS was added to the bottom chamber. After 24 h, the invaded cells were fixed with pre-cooled methanol (Sigma-Aldrich) for 5 min and stained with 1% crystal violet (Beijing Solaibo Technology) for 5 min at room temperature. Images were obtained utilizing a light microscope (magnification, ×100; Nikon). Briefly, the upper chamber was pre-coated with Matrigel (BD Biosciences, USA), and then 1 × 104 cells were plated in the top chamber of Transwell (Corning Life Sciences, USA) while 500 µL of RPMI 1640 medium with 20% FBS was added to the bottom chamber. After 24 h, the invaded cells were fixed with pre-cooled methanol (Sigma-Aldrich) for 5 min and stained with 1% crystal violet (Beijing Solaibo Technology) for 5 min at room temperature. Images were obtained utilizing a light microscope (magnification, ×100; Nikon). Xenograft mouse model The animal study was approved by the Institutional Animal Care and Use Committee of The Second Nanning People’s Hospital. Briefly, 5-week-old BALB/C nude mice (Vital River Laboratories Co., Ltd, Beijing, China) were administrated with subcutaneous injection of 3 × 106 C666-1 cells. For GSK484 in vivo treatment, mice were treated with GSK484 (4 mg/kg) or vehicle (10% DMSO in PBS) through intraperitoneal injection 1 week after tumor implantation, followed by daily dose. The tumor growth was measured using a caliper every 10 days. Tumor volume was calculated by the formula: volume = length× width2 × 0.5. The animal study was approved by the Institutional Animal Care and Use Committee of The Second Nanning People’s Hospital. Briefly, 5-week-old BALB/C nude mice (Vital River Laboratories Co., Ltd, Beijing, China) were administrated with subcutaneous injection of 3 × 106 C666-1 cells. For GSK484 in vivo treatment, mice were treated with GSK484 (4 mg/kg) or vehicle (10% DMSO in PBS) through intraperitoneal injection 1 week after tumor implantation, followed by daily dose. The tumor growth was measured using a caliper every 10 days. Tumor volume was calculated by the formula: volume = length× width2 × 0.5. Tumor radiosensitivity study As described previously [28], mice were grouped into no irradiation group (n = 4) or irradiation group (n = 4). Irradiation was given 20 days later. Mice in each group were irradiated with 8 Gy irradiation. All mice were killed 20 days following irradiation. Then, tumors were photographed and weighed. Tumor volume was determined by the formula: V = 0.5 × longitudinal diameter × latitudinal diameter2. As described previously [28], mice were grouped into no irradiation group (n = 4) or irradiation group (n = 4). Irradiation was given 20 days later. Mice in each group were irradiated with 8 Gy irradiation. All mice were killed 20 days following irradiation. Then, tumors were photographed and weighed. Tumor volume was determined by the formula: V = 0.5 × longitudinal diameter × latitudinal diameter2. Statistical analysis Statistical analysis was conducted with SPSS 20.0 software (IBM Inc., USA). Data are displayed as the mean ± SD and all experiments were repeated three times. Student’s test was employed for comparing statistics between two groups while one-way ANOVA, followed by Tukey’s post hoc test were used for comparing differences among three or more groups. p < 0.05 was statistically significant. Statistical analysis was conducted with SPSS 20.0 software (IBM Inc., USA). Data are displayed as the mean ± SD and all experiments were repeated three times. Student’s test was employed for comparing statistics between two groups while one-way ANOVA, followed by Tukey’s post hoc test were used for comparing differences among three or more groups. p < 0.05 was statistically significant. Tissue specimens: NPC tumor specimens were collected from 50 patients with NPC at the Second Nanning People’s Hospital. Informed consent was signed by every participant enrolled in this research. The Ethics Committee of the Second Nanning People’s Hospital approved this study. Approval number: 2019-055 April 9, 2019. Cell culture: NPC cells (C666-1, 6-10B and 5-8F) and a normal human nasopharyngeal cell line NP69 were procured from the ATCC (MA, USA). They were grown in RPMI 1640 medium (Gibco, USA) with 10% FBS (Gibco) in a humidified incubator containing 5% CO2 at 37 ℃. NPC cells were treated with gradient concentrations of GSK484 (0, 5, 10, and 20 µm), respectively, for 3 h. Cell transfection: The pcDNA3.1/PAD4 and pcDNA3.1 were synthesized by Invitrogen. 0.2 µg of vectors were transfected into NPC cells utilizing Lipofectamine 3000 (Invitrogen, USA). After 48 h, the transfection efficiency was tested by RT-qPCR. The cells subjected to transfection was treated with 10 µm GSK484 for 3 h. RT-qPCR: RNA from NPC tissues or cells was isolated by a TRIzol kit (Invitrogen, USA). NanoDrop (Thermo Scientific, USA) was employed for RNA quantification at an A260/A280 ratio. 1 µg RNA was reverse transcribed to cDNA by a M-MLV Reverse Transcriptase (Invitrogen). A SYBR Premix Ex Taq II Kit (Takara, Japan) was used for RT-qPCR. GAPDH served as an endogenous control for PAD4. Relative expression of PAD4 (Forward: CCCAAACAGGGGGTATCAGT; Reverse: CCACGGACAGCCAGTCAGAA) was calculated using the 2−ΔΔCt method [27]. Clonogenic survival: NPC cells were planted into 6-well plates (Shanghai Zengyou, biotechnology, Shanghai, China) (8000 cells/well) for 24 h. Next, a medical linear accelerator (Precise accelerator, Elekta, Sweden) was used to treat cells with 0, 2, 4, 6, 8 Gy X-ray irradiation at room temperature, respectively. Afterwards, cells were further incubated for 14 days and stained with 1% crystal violet (Beijing Solaibo Technology, China). The colonies over 50 cells were recorded using a light microscope (Olympus Corporation). Surviving fraction was analyzed by the formula: Surviving fraction = amount of colonies/number of total cells × seeding efficiency of the control group. EdU assay: The transfected C666-1 cells were inoculated in a 24-well plate (Shanghai Zengyou, biotechnology) and cultured with 50 µM of EdU reagent (RiboBio, Guangzhou, China) for 2 h. Cells were fixed with paraformaldehyde (Sigma-Aldrich), and treated with 100 µl of Apollo solution (Sigma-Aldrich) for 30 min. After that, cell nuclei were dyed by DAPI (Sigma-Aldrich) for 5 min. A fluorescence microscope (Nikon Corporation, Japan) was employed to record EdU positive cells. Wound healing assay: The transfected C666-1 cells were cultured in a 6-well plate (Shanghai Zengyou, biotechnology) in serum-free medium (Gibco). When the culture reached 85%, a 20 µL sterile pipette tip (Gene Era Biotech, USA) was used to scratch the cell layer. After washing, cells were incubated in 1% FBS culture medium (Gibco). After 48 h, images were obtained at different time points by a light microscope (Nikon). Transwell assay: Briefly, the upper chamber was pre-coated with Matrigel (BD Biosciences, USA), and then 1 × 104 cells were plated in the top chamber of Transwell (Corning Life Sciences, USA) while 500 µL of RPMI 1640 medium with 20% FBS was added to the bottom chamber. After 24 h, the invaded cells were fixed with pre-cooled methanol (Sigma-Aldrich) for 5 min and stained with 1% crystal violet (Beijing Solaibo Technology) for 5 min at room temperature. Images were obtained utilizing a light microscope (magnification, ×100; Nikon). Xenograft mouse model: The animal study was approved by the Institutional Animal Care and Use Committee of The Second Nanning People’s Hospital. Briefly, 5-week-old BALB/C nude mice (Vital River Laboratories Co., Ltd, Beijing, China) were administrated with subcutaneous injection of 3 × 106 C666-1 cells. For GSK484 in vivo treatment, mice were treated with GSK484 (4 mg/kg) or vehicle (10% DMSO in PBS) through intraperitoneal injection 1 week after tumor implantation, followed by daily dose. The tumor growth was measured using a caliper every 10 days. Tumor volume was calculated by the formula: volume = length× width2 × 0.5. Tumor radiosensitivity study: As described previously [28], mice were grouped into no irradiation group (n = 4) or irradiation group (n = 4). Irradiation was given 20 days later. Mice in each group were irradiated with 8 Gy irradiation. All mice were killed 20 days following irradiation. Then, tumors were photographed and weighed. Tumor volume was determined by the formula: V = 0.5 × longitudinal diameter × latitudinal diameter2. Statistical analysis: Statistical analysis was conducted with SPSS 20.0 software (IBM Inc., USA). Data are displayed as the mean ± SD and all experiments were repeated three times. Student’s test was employed for comparing statistics between two groups while one-way ANOVA, followed by Tukey’s post hoc test were used for comparing differences among three or more groups. p < 0.05 was statistically significant. Results: PAD4 is highly expressed in NPC First, the PAD4 level in NPC tissues was evaluated by RT-qPCR and western blot, and the data demonstrated that PAD4 was high in NPC tissues (Fig. 1a, b). Similarly, the elevated expression of PAD4 was also detected in NPC cells (C666-1, 6-10B and 5-8F) (Fig. 1c, d). Additionally, we also tested the expression levels of the other PAD isozymes (including PAD1, PAD2, and PAD3) in NPC cells, and found that these PAD isozymes had no observable expression change in NPC cells (Additional file 1: Figure S1). Therefore, we hypothesize that PAD4 is the major isozyme in NPC. Fig. 1 The expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 The expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 First, the PAD4 level in NPC tissues was evaluated by RT-qPCR and western blot, and the data demonstrated that PAD4 was high in NPC tissues (Fig. 1a, b). Similarly, the elevated expression of PAD4 was also detected in NPC cells (C666-1, 6-10B and 5-8F) (Fig. 1c, d). Additionally, we also tested the expression levels of the other PAD isozymes (including PAD1, PAD2, and PAD3) in NPC cells, and found that these PAD isozymes had no observable expression change in NPC cells (Additional file 1: Figure S1). Therefore, we hypothesize that PAD4 is the major isozyme in NPC. Fig. 1 The expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 The expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 PAD4 overexpression promotes the radioresistance and cellular processes in NPC The role of PAD4 in NPC was then investigated. PAD4 expression at mRNA and protein level was significantly upregulated by pcDNA3.1/PAD4 in C666-1 and 6-10B cells (Fig. 2a, b). To probe the function of PAD4 on the radiosensitivity of NPC, we performed colony formation assay which revealed that highly expressed PAD4 significantly increased the survival fraction of NPC cells exposed to different dose of radiation (Fig. 2c). EdU assay showed that 6 Gy dose of irradiation repressed the proliferation of C666-1 cells, while overexpressed PAD4 promoted cell proliferation at 24 h after irradiation (Fig. 2d, e). Subsequently, through wound healing assay, PAD4 overexpression facilitated the migratory potential of C666-1 cells at 24 h under irradiation (Fig. 2f). Moreover, Transwell assay indicated that the invasive ability of C666-1 cell after irradiation was increased after PAD4 overexpression (Fig. 2g). Overall, overexpression of PAD4 inhibits radiosensitivity and promotes malignant character of NPC cells. Fig. 2 PAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01 PAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01 The role of PAD4 in NPC was then investigated. PAD4 expression at mRNA and protein level was significantly upregulated by pcDNA3.1/PAD4 in C666-1 and 6-10B cells (Fig. 2a, b). To probe the function of PAD4 on the radiosensitivity of NPC, we performed colony formation assay which revealed that highly expressed PAD4 significantly increased the survival fraction of NPC cells exposed to different dose of radiation (Fig. 2c). EdU assay showed that 6 Gy dose of irradiation repressed the proliferation of C666-1 cells, while overexpressed PAD4 promoted cell proliferation at 24 h after irradiation (Fig. 2d, e). Subsequently, through wound healing assay, PAD4 overexpression facilitated the migratory potential of C666-1 cells at 24 h under irradiation (Fig. 2f). Moreover, Transwell assay indicated that the invasive ability of C666-1 cell after irradiation was increased after PAD4 overexpression (Fig. 2g). Overall, overexpression of PAD4 inhibits radiosensitivity and promotes malignant character of NPC cells. Fig. 2 PAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01 PAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01 Inhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC Next, different concentrations of PAD4 inhibitor (GSK484) was used to treat C666-1 and 6-10B cells. The data delineated that GSK484 concentration-dependently decreased the expression of PAD4 (Fig. 3a, b). As shown in Fig. 3b, the survival fraction of NPC cells exposed to irradiation was significantly inhibited after treatment of GSK484 (Fig. 3c). The results from EdU assay showed that treatment of GSK484 suppressed cell proliferation after irradiation (Fig. 3d). Furthermore, analysis of migration and invasion revealed that treatment of GSK484 restrained the migratory and invasive ability of C666-1 cells (Fig. 3e, f). We further detected the changes of histone citrullination (citH3) to examine whether the activity of PAD4 is in relation to treatment or no treatment with PAD4 inhibitor. Western blot demonstrated that the citH3 protein levels were markedly reduced by PAD4 inhibition (Fig. 3g). The above findings suggested that GSK484 exerts inhibitory effects on radioresistance and aggressive phenotypes of NPC cells through inhibiting the activity of PAD4. Fig. 3 Inhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01 Inhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01 Next, different concentrations of PAD4 inhibitor (GSK484) was used to treat C666-1 and 6-10B cells. The data delineated that GSK484 concentration-dependently decreased the expression of PAD4 (Fig. 3a, b). As shown in Fig. 3b, the survival fraction of NPC cells exposed to irradiation was significantly inhibited after treatment of GSK484 (Fig. 3c). The results from EdU assay showed that treatment of GSK484 suppressed cell proliferation after irradiation (Fig. 3d). Furthermore, analysis of migration and invasion revealed that treatment of GSK484 restrained the migratory and invasive ability of C666-1 cells (Fig. 3e, f). We further detected the changes of histone citrullination (citH3) to examine whether the activity of PAD4 is in relation to treatment or no treatment with PAD4 inhibitor. Western blot demonstrated that the citH3 protein levels were markedly reduced by PAD4 inhibition (Fig. 3g). The above findings suggested that GSK484 exerts inhibitory effects on radioresistance and aggressive phenotypes of NPC cells through inhibiting the activity of PAD4. Fig. 3 Inhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01 Inhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01 Treatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell progression As observed in Fig. 4a, b, GSK484 treatment significantly downregulated the expression of PAD4 upregulated by pcDNA3.1/PAD4 in C666-1 cells. Colony formation assay demonstrated that GSK484 treatment reversed the promotive effect of PAD4 overexpression on the survival fraction of C666-1 cells (Fig. 4c). Moreover, the effects on the increase of aggressive phenotypes of C666-1 cells caused by PAD4 were abrogated after treatment of GSK484 (Fig. 4d, f). Furthermore, in Fig. 4g, citH3 was significantly elevated in PAD4 overexpressed cells but knocked down by GSK484, suggesting that histone citrullination occurs in a PAD4-dependent way. These results suggested the key role of GSK484 in inhibiting the effects of PAD4 on radiosensitivity and malignant phenotype of NPC cells. Fig. 4 Treatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 Treatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 Fig. 5 GSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01 GSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01 As observed in Fig. 4a, b, GSK484 treatment significantly downregulated the expression of PAD4 upregulated by pcDNA3.1/PAD4 in C666-1 cells. Colony formation assay demonstrated that GSK484 treatment reversed the promotive effect of PAD4 overexpression on the survival fraction of C666-1 cells (Fig. 4c). Moreover, the effects on the increase of aggressive phenotypes of C666-1 cells caused by PAD4 were abrogated after treatment of GSK484 (Fig. 4d, f). Furthermore, in Fig. 4g, citH3 was significantly elevated in PAD4 overexpressed cells but knocked down by GSK484, suggesting that histone citrullination occurs in a PAD4-dependent way. These results suggested the key role of GSK484 in inhibiting the effects of PAD4 on radiosensitivity and malignant phenotype of NPC cells. Fig. 4 Treatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 Treatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 Fig. 5 GSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01 GSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01 GSK484 inhibits tumor growth and reverses radioresistance in vivo Since GSK484 could reverse the effect of PAD4 on radioresistance of NPC in vitro, we intended to verify whether it is applicable in vivo. Tumor grow curves revealed that the tumors grew significantly slower in mice treated with GSK484 than in the control group. Additionally, the mice treated with GSK484 were more sensitive to irradiation (Fig. 5a). The weights and images of the tumors further suggested that GSK484 significantly suppressed tumor growth after irradiation (Fig. 5b, c). Overall, GSK484 inhibits tumor growth and reverses radioresistance in vivo. Since GSK484 could reverse the effect of PAD4 on radioresistance of NPC in vitro, we intended to verify whether it is applicable in vivo. Tumor grow curves revealed that the tumors grew significantly slower in mice treated with GSK484 than in the control group. Additionally, the mice treated with GSK484 were more sensitive to irradiation (Fig. 5a). The weights and images of the tumors further suggested that GSK484 significantly suppressed tumor growth after irradiation (Fig. 5b, c). Overall, GSK484 inhibits tumor growth and reverses radioresistance in vivo. PAD4 is highly expressed in NPC: First, the PAD4 level in NPC tissues was evaluated by RT-qPCR and western blot, and the data demonstrated that PAD4 was high in NPC tissues (Fig. 1a, b). Similarly, the elevated expression of PAD4 was also detected in NPC cells (C666-1, 6-10B and 5-8F) (Fig. 1c, d). Additionally, we also tested the expression levels of the other PAD isozymes (including PAD1, PAD2, and PAD3) in NPC cells, and found that these PAD isozymes had no observable expression change in NPC cells (Additional file 1: Figure S1). Therefore, we hypothesize that PAD4 is the major isozyme in NPC. Fig. 1 The expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 The expression of PAD4 in NPC. a, b RT-qPCR and western blot for the PAD4 level in NPC tissues and normal tissues. Paired Student’s test. c, d RT-qPCR and western blot for the PAD4 level in NPC cells and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 PAD4 overexpression promotes the radioresistance and cellular processes in NPC: The role of PAD4 in NPC was then investigated. PAD4 expression at mRNA and protein level was significantly upregulated by pcDNA3.1/PAD4 in C666-1 and 6-10B cells (Fig. 2a, b). To probe the function of PAD4 on the radiosensitivity of NPC, we performed colony formation assay which revealed that highly expressed PAD4 significantly increased the survival fraction of NPC cells exposed to different dose of radiation (Fig. 2c). EdU assay showed that 6 Gy dose of irradiation repressed the proliferation of C666-1 cells, while overexpressed PAD4 promoted cell proliferation at 24 h after irradiation (Fig. 2d, e). Subsequently, through wound healing assay, PAD4 overexpression facilitated the migratory potential of C666-1 cells at 24 h under irradiation (Fig. 2f). Moreover, Transwell assay indicated that the invasive ability of C666-1 cell after irradiation was increased after PAD4 overexpression (Fig. 2g). Overall, overexpression of PAD4 inhibits radiosensitivity and promotes malignant character of NPC cells. Fig. 2 PAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01 PAD4 overexpression promotes the radioresistance and cellular processes in NPC. a, b The PAD4 level in NPC cells transfected with pcDNA3.1/PAD4 by RT-qPCR and western blot. c Colony formation assay for cell survival under different doses of radiation. d, e Cell proliferation in NPC cells transfected pcDNA3.1/PAD4 by EdU assay, at 24 h after 6 Gy irradiation. f, g Migration and invasion in NPC cells transfected pcDNA3.1/PAD4 by wound healing and Transwell, at 24 h after 6 Gy irradiation. Unpaired Student’s test. *p < 0.05, **p < 0.01 Inhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC: Next, different concentrations of PAD4 inhibitor (GSK484) was used to treat C666-1 and 6-10B cells. The data delineated that GSK484 concentration-dependently decreased the expression of PAD4 (Fig. 3a, b). As shown in Fig. 3b, the survival fraction of NPC cells exposed to irradiation was significantly inhibited after treatment of GSK484 (Fig. 3c). The results from EdU assay showed that treatment of GSK484 suppressed cell proliferation after irradiation (Fig. 3d). Furthermore, analysis of migration and invasion revealed that treatment of GSK484 restrained the migratory and invasive ability of C666-1 cells (Fig. 3e, f). We further detected the changes of histone citrullination (citH3) to examine whether the activity of PAD4 is in relation to treatment or no treatment with PAD4 inhibitor. Western blot demonstrated that the citH3 protein levels were markedly reduced by PAD4 inhibition (Fig. 3g). The above findings suggested that GSK484 exerts inhibitory effects on radioresistance and aggressive phenotypes of NPC cells through inhibiting the activity of PAD4. Fig. 3 Inhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01 Inhibition of PAD4 promotes the radiosensitivity and cellular processes in NPC. a, b The PAD4 level after treatment with GSK484 by RT-qPCR and western blot. c Colony formation assay of NPC cells treated with different concentrations of GSK484. One‑way ANOVA with Tukey’s post hoc test. d Cell proliferation in NPC cells treated with GSK484 or not by EdU assay, at 24 h after 6 Gy irradiation. e, f Migration and invasion in NPC cells treated with GSK484 or not by wound healing and Transwell assays, at 24 h after 6 Gy irradiation. g The level of citH3 protein in NPC cell treated with GSK484 or not was measured by western lot. Unpaired Student’s test. *p < 0.05, **p < 0.01 Treatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell progression: As observed in Fig. 4a, b, GSK484 treatment significantly downregulated the expression of PAD4 upregulated by pcDNA3.1/PAD4 in C666-1 cells. Colony formation assay demonstrated that GSK484 treatment reversed the promotive effect of PAD4 overexpression on the survival fraction of C666-1 cells (Fig. 4c). Moreover, the effects on the increase of aggressive phenotypes of C666-1 cells caused by PAD4 were abrogated after treatment of GSK484 (Fig. 4d, f). Furthermore, in Fig. 4g, citH3 was significantly elevated in PAD4 overexpressed cells but knocked down by GSK484, suggesting that histone citrullination occurs in a PAD4-dependent way. These results suggested the key role of GSK484 in inhibiting the effects of PAD4 on radiosensitivity and malignant phenotype of NPC cells. Fig. 4 Treatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 Treatment of GSK484 attenuates the effect of PAD4 overexpression of NPC cell functions. a, b The PAD4 level in NPC cells treated differently by RT-qPCR and western blot analyses. c Colony formation assay for the survival of NPC cells treated differently. d Cell proliferation in NPC cells treated differently by EdU assay. e, f Migration and invasion ability in NPC cells treated differently by wound healing and Transwell. g The citH3 protein levels in NPC cell treated differently by western lot. One‑way ANOVA with Tukey’s post hoc test. *p < 0.05, **p < 0.01 Fig. 5 GSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01 GSK484 inhibits tumor growth and reverses radioresistance in vivo. C666-1 cells treated with 10 µm GSK484 or 0 µm GSK484 were injected into mice, n = 4, tumor growth curves (a), weights (b) and images (c). Unpaired Student’s test. *p < 0.05, **p < 0.01 GSK484 inhibits tumor growth and reverses radioresistance in vivo: Since GSK484 could reverse the effect of PAD4 on radioresistance of NPC in vitro, we intended to verify whether it is applicable in vivo. Tumor grow curves revealed that the tumors grew significantly slower in mice treated with GSK484 than in the control group. Additionally, the mice treated with GSK484 were more sensitive to irradiation (Fig. 5a). The weights and images of the tumors further suggested that GSK484 significantly suppressed tumor growth after irradiation (Fig. 5b, c). Overall, GSK484 inhibits tumor growth and reverses radioresistance in vivo. Discussion: NPC is an epithelial malignancy with a high mortality and is a major cause of cancer-associated death in South China, North Africa, and Southeast Asia [29]. Since cancers cells are sensitive to ionizing radiation (IR), up to date, radiotherapy has become a preferred method for cancer treatment [30, 31]. NPC patients at early stage tend to be efficiently subjected to radiotherapy [32]. Additionally, radiotherapy in combination with immunotherapy or chemotherapy may affect tumor immune response, giving rise to clinical improvement in various tumors [33]. Although better tumor localization through advanced radiotherapy techniques can help improving local control of NPC, radioresistance, which may result in tumor recurrence and metastasis, is a major barrier to long-term survival [34, 35]. One and a half years after radiotherapy, most patients with NPC suffer from local recurrence and distant metastasis [34]. Thus, exploring the mechanisms of radioresistance in NPC is essential for identifying more effective therapies for NPC. More and more reports have indicated that PAD4 was a possible gene involved in epigenetic and phenotypic alteration in various cancers [36–38]. In the present study, the upregulated mRNA and protein expression of PAD4 in NPC was demonstrated, which is in line with the previous results that PAD4 is overexpressed in a variety of malignancies [39]. Since different cancers do have different PAD isozyme dominance, we performed an assessment on this through measuring the expression of the other isozymes in NPC cells. Our data revealed that these PAD isozymes had no significant expression change in NPC cells. Therefore, we concluded that PAD4 is the major isozyme in NPC. NPC cells were transfected with stable overexpression vector of PAD4 to determine the role of PAD4 in NPC progression. Interestingly, our findings showed that upregulated PAD4 promoted malignant character of NPC cells. As reported previously, inhibition of PAD4 suppresses the invasive and migratory phenotypes of lung cancer cells [40]. Silencing PAD4 attenuates gastric cancer cell proliferation, invasion, and cell cycle [38]. PAD4 facilitates gastric tumorigenesis via enhancing the expression of several oncogenes [41]. These literatures demonstrate the oncogenic property of PAD4 in tumorigenesis. GSK484 hydrochloride suppresses the PAD4 target protein citrullination and reduces NETs formation by binding to low-calcium form of PAD4 in a selective and reversible way [42]. GSK484 is selective for PAD4 over PAD1–3. It binds at a different site from the amidines, a conformation of the PAD4 active site where part of the site is re-ordered to form a β-hairpin [42]. To test the phenotypes of NPC cells in the absence of PAD4, we used GSK484 to treat NPC cells. As expected, GSK484 treatment of cell lines decreased the expression of PAD4 (mRNA and protein) in a concentration-dependent manner. Moreover, GSK484 markedly inhibited the malignant character of NPC cells. Previous studies proved the regulatory role of PAD4 in cancers through citrullination. PAD4-driven citrullination of a key matrix component collagen type I contributes to mesenchymal-to-epithelial transition (EMT), a phenotypic conversion that occurs in cancer cells, and liver metastasis in colorectal cancer [16]. Ectopically expressing wild type PAD4 promotes osteosarcoma cell invasion and migration while PAD4 mutation with no citrullination activity fails to affect cell phenotypes [43]. Subsequently, to examine whether this effect is associated with its citrullination activity, the changes of citH3 were detected to examine the citrullination activity of PAD4 in the context of GSK484. The results revealed treatment with GSK484 reduced the levels of citH3 protein, which is also an indicator of PAD4 activity, suggesting that GSK484 exerts inhibitory effects on NPC progression through inhibiting the citrullination activity of PAD4. However, since GSK484 is a reversible inhibitor of PAD4, prolong the incubation time between GSK484 and PAD4 may prevent the inactivation of PAD4. A deeper investigation verifying this point should be performed in the future. Interestingly, a study indicated that loss of PAD4 accelerates induction of EMT and invasion of tumors in breast cancer by the citrullination of nuclear GSK3β activating TGF-β pathway [44]. This finding is contrary to our study. The differences in cancer cell response to PAD4 may be due to the function diversity of PAD4 in different cancers. However, there are certain limitations to our work. The mechanism by which PAD4 regulates its targets in NPC is unclear. Additionally, it is unknown whether there are other PAD isozymes or molecules such as GSK3β involved in PAD4-mediated phenotypic alternation in NPC. PAD4 has been shown to act as a transcriptional coregulator of many factors including p53, ING4, ELK1, p21, p300,and CIP1 [45–47]. Studies have indicated that the link between PAD4 and carcinogenesis is mediated through the p53 tumor suppressor gene via citrullination of citH3 [45] or the ELK1 oncogene to activate cFos [48]. Therefore, a significant future direction is to identify the potential targets or signaling pathways that PAD4 mediates in NPC. Conclusions: In summary, PAD4 was upregulated in NPC, and its upregulation increased the radioresistance, and cellular processes in NPC, whereas its inhibitor GSK484 elicited inhibitory effects on these phenotypes. Moreover, GSK484 significantly inhibited tumor growth in vivo. Therefore, PAD4 may be a novel biomarker for NPC treatment. Other enzymes or molecules may participate in the PAD4-mediated NPC progression and further investigation could be done in the future. Supplementary Information: Additional file 1: Figure S1. The expression level of the other PAD isozymes in NPC. RT-qPCR for the expression of PAD1 (A), PAD2 (B), and PAD3 (C) in NPC cell lines and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. Additional file 1: Figure S1. The expression level of the other PAD isozymes in NPC. RT-qPCR for the expression of PAD1 (A), PAD2 (B), and PAD3 (C) in NPC cell lines and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. Additional file 1: Figure S1. The expression level of the other PAD isozymes in NPC. RT-qPCR for the expression of PAD1 (A), PAD2 (B), and PAD3 (C) in NPC cell lines and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. Additional file 1: Figure S1. The expression level of the other PAD isozymes in NPC. RT-qPCR for the expression of PAD1 (A), PAD2 (B), and PAD3 (C) in NPC cell lines and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. : Additional file 1: Figure S1. The expression level of the other PAD isozymes in NPC. RT-qPCR for the expression of PAD1 (A), PAD2 (B), and PAD3 (C) in NPC cell lines and NP69 cells. One‑way ANOVA with Tukey’s post hoc test. Additional file 1: Figure S1. The expression level of the other PAD isozymes in NPC. RT-qPCR for the expression of PAD1 (A), PAD2 (B), and PAD3 (C) in NPC cell lines and NP69 cells. One‑way ANOVA with Tukey’s post hoc test.
Background: Nasopharyngeal carcinoma (NPC) is a tumor deriving from nasopharyngeal epithelium. Peptidyl-arginine deiminase 4 (PAD4) is a vital mediator of histone citrullination and plays an essential role in regulating disease process. Radiotherapy is an essential method to treat NPC. In this research, we explored the effect of PAD4 on NPC radiosensitivity. Methods: We enrolled 50 NPC patients, established mice xenograft model, and purchased cell lines for this study. Statistical analysis and a series of experiments including RT-qPCR, clonogenic survival, EdU, Transwell, and wound healing assays were done. Results: Our data manifested that PAD4 (mRNA and protein) presented a high expression in NPC tissues and cells. GSK484, an inhibitor of PAD4, could inhibit activity of PAD4 in NPC cell lines. PAD4 overexpression promoted the radioresistance, survival, migration, and invasion of NPC cells, whereas treatment of GSK484 exerted inhibitory effects on radioresistance and aggressive phenotype of NPC cells. Additionally, GSK484 could attenuate the effect of PAD4 of NPC cell progression. More importantly, we found that GSK484 significantly inhibited tumor size, tumor weight and tumor volume in mice following irradiation. Conclusions: PAD4 inhibitor GSK484 attenuated the radioresistance and cellular progression in NPC.
Background: Recent studies have revealed that genetic factors, viral infection, and environment are main factors resulting in the occurrence of nasopharyngeal carcinoma (NPC) [1–4]. The incidence rate of NPC ranks the first in the ear, nose and throat malignant tumors in China [5], and the major factors leading to mortality are local relapse and distant metastasis [6]. The 5-year survival rate is about 10% for radiation-resistant patients and 30% for radiation-sensitive patients [7]. Radioresistance severely hampers the efficacy of radiotherapy for patients. Therefore, understanding potential mechanism of NPC radioresistance is of great significance to exploring new strategies for treatment of NPC. Peptidyl-arginine deiminase (PAD), including five isozymes (PAD1−4 and PAD6), can catalyze the reaction of protein citrullination, a process where arginine is converted into residue citrulline [8, 9]. PAD-mediated citrullination can modify multiple cell processes through altering tertiary structure of peptide chain, protein-protein interaction, or generation of neo-epitopes [10, 11]. Protein citrullination plays a key role in mediating protein to exert various pathophysiological effects within one polypeptide chain [12, 13]. Current studies show that protein citrullination is closely related to cancer pathogenesis [14, 15]. Emerging evidence suggests that citrullinated proteins are promising biomarkers for cancer therapy [16]. PAD4 belongs to PAD family [17], converting peptidyl arginine to peptidyl citrulline [18]. The upregulation of PAD4 was reported in varied malignancies, such as rectal adenocarcinoma, breast cancer, and ovarian cancer [19]. Studies have shown that PAD4-catalyzed neutrophil extracellular trap (NET) formation is upregulated in multiple tumors [20]. Multiple components (such as matrix metalloproteinase-9, neutrophil elastase and cathepsin G) in Nets can increase cancer cell growth, angiogenesis and distant metastasis [21, 22]. PAD4 is co-expressed with cytokeratin (CK) in a variety of cancer tissues. CK 8, CK 18, and CK 19 are citrullinated by PAD4, and citrullinated CK antagonizes the cytoskeleton depolymerization process mediated by aspartic acid-specific cysteine proteolytic enzyme, thereby inhibiting tumor cell apoptosis [23]. PAD4 can also affect the metastasis and erosion of tumor cells. The interleukin-8 generated by tumor and microenvironment exerts a critical effect in cancer cell survival, migration, and invasion. PAD4 can convert arginine at the fifth position of interleukin-8 to citrulline to restrain the biological activity of citrullinated interleukin-8 [24]. The generation of tumor-associated thrombosis is related to PAD4 and is usually accompanied by hypercitrullinated levels of histones in plasma in patients with tumor-associated thrombotic microangiopathy [25]. Additionally, PAD4 inhibitors fluoramidine or chloramidine are cytotoxic to a variety of tumor cells, including breast cancer cells, leukemia cells, and colorectal cancer cells [26]. Although numerous studies reveal the essential role of PAD4 in human cancers, its role in NPC is not identified. In this investigation, we explored the role of PAD4 and its inhibitor GSK484 in radioresistance and phenotypes of NPC cells, which demonstrates the potential of PAD4 inhibition for treatment of NPC. Conclusions: In summary, PAD4 was upregulated in NPC, and its upregulation increased the radioresistance, and cellular processes in NPC, whereas its inhibitor GSK484 elicited inhibitory effects on these phenotypes. Moreover, GSK484 significantly inhibited tumor growth in vivo. Therefore, PAD4 may be a novel biomarker for NPC treatment. Other enzymes or molecules may participate in the PAD4-mediated NPC progression and further investigation could be done in the future.
Background: Nasopharyngeal carcinoma (NPC) is a tumor deriving from nasopharyngeal epithelium. Peptidyl-arginine deiminase 4 (PAD4) is a vital mediator of histone citrullination and plays an essential role in regulating disease process. Radiotherapy is an essential method to treat NPC. In this research, we explored the effect of PAD4 on NPC radiosensitivity. Methods: We enrolled 50 NPC patients, established mice xenograft model, and purchased cell lines for this study. Statistical analysis and a series of experiments including RT-qPCR, clonogenic survival, EdU, Transwell, and wound healing assays were done. Results: Our data manifested that PAD4 (mRNA and protein) presented a high expression in NPC tissues and cells. GSK484, an inhibitor of PAD4, could inhibit activity of PAD4 in NPC cell lines. PAD4 overexpression promoted the radioresistance, survival, migration, and invasion of NPC cells, whereas treatment of GSK484 exerted inhibitory effects on radioresistance and aggressive phenotype of NPC cells. Additionally, GSK484 could attenuate the effect of PAD4 of NPC cell progression. More importantly, we found that GSK484 significantly inhibited tumor size, tumor weight and tumor volume in mice following irradiation. Conclusions: PAD4 inhibitor GSK484 attenuated the radioresistance and cellular progression in NPC.
11,118
238
[ 597, 55, 94, 59, 107, 138, 102, 93, 116, 134, 87, 77, 294, 450, 514, 542, 104, 118 ]
23
[ "npc", "pad4", "cells", "gsk484", "npc cells", "cell", "treated", "fig", "irradiation", "assay" ]
[ "inhibitory effects radioresistance", "pad4 radiosensitivity malignant", "tumor radiosensitivity study", "pad4 inhibits radiosensitivity", "radioresistance phenotypes npc" ]
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[CONTENT] PAD4 | GSK484 | Radiosensitivity | Nasopharyngeal carcinoma [SUMMARY]
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[CONTENT] PAD4 | GSK484 | Radiosensitivity | Nasopharyngeal carcinoma [SUMMARY]
[CONTENT] PAD4 | GSK484 | Radiosensitivity | Nasopharyngeal carcinoma [SUMMARY]
[CONTENT] PAD4 | GSK484 | Radiosensitivity | Nasopharyngeal carcinoma [SUMMARY]
[CONTENT] PAD4 | GSK484 | Radiosensitivity | Nasopharyngeal carcinoma [SUMMARY]
[CONTENT] Cell Line, Tumor | Cell Proliferation | Gene Expression Regulation, Neoplastic | Humans | Nasopharyngeal Carcinoma | Neoplasm Invasiveness | Phenotype | Protein-Arginine Deiminase Type 4 | Radiation Tolerance [SUMMARY]
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[CONTENT] Cell Line, Tumor | Cell Proliferation | Gene Expression Regulation, Neoplastic | Humans | Nasopharyngeal Carcinoma | Neoplasm Invasiveness | Phenotype | Protein-Arginine Deiminase Type 4 | Radiation Tolerance [SUMMARY]
[CONTENT] Cell Line, Tumor | Cell Proliferation | Gene Expression Regulation, Neoplastic | Humans | Nasopharyngeal Carcinoma | Neoplasm Invasiveness | Phenotype | Protein-Arginine Deiminase Type 4 | Radiation Tolerance [SUMMARY]
[CONTENT] Cell Line, Tumor | Cell Proliferation | Gene Expression Regulation, Neoplastic | Humans | Nasopharyngeal Carcinoma | Neoplasm Invasiveness | Phenotype | Protein-Arginine Deiminase Type 4 | Radiation Tolerance [SUMMARY]
[CONTENT] Cell Line, Tumor | Cell Proliferation | Gene Expression Regulation, Neoplastic | Humans | Nasopharyngeal Carcinoma | Neoplasm Invasiveness | Phenotype | Protein-Arginine Deiminase Type 4 | Radiation Tolerance [SUMMARY]
[CONTENT] inhibitory effects radioresistance | pad4 radiosensitivity malignant | tumor radiosensitivity study | pad4 inhibits radiosensitivity | radioresistance phenotypes npc [SUMMARY]
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[CONTENT] inhibitory effects radioresistance | pad4 radiosensitivity malignant | tumor radiosensitivity study | pad4 inhibits radiosensitivity | radioresistance phenotypes npc [SUMMARY]
[CONTENT] inhibitory effects radioresistance | pad4 radiosensitivity malignant | tumor radiosensitivity study | pad4 inhibits radiosensitivity | radioresistance phenotypes npc [SUMMARY]
[CONTENT] inhibitory effects radioresistance | pad4 radiosensitivity malignant | tumor radiosensitivity study | pad4 inhibits radiosensitivity | radioresistance phenotypes npc [SUMMARY]
[CONTENT] inhibitory effects radioresistance | pad4 radiosensitivity malignant | tumor radiosensitivity study | pad4 inhibits radiosensitivity | radioresistance phenotypes npc [SUMMARY]
[CONTENT] npc | pad4 | cells | gsk484 | npc cells | cell | treated | fig | irradiation | assay [SUMMARY]
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[CONTENT] npc | pad4 | cells | gsk484 | npc cells | cell | treated | fig | irradiation | assay [SUMMARY]
[CONTENT] npc | pad4 | cells | gsk484 | npc cells | cell | treated | fig | irradiation | assay [SUMMARY]
[CONTENT] npc | pad4 | cells | gsk484 | npc cells | cell | treated | fig | irradiation | assay [SUMMARY]
[CONTENT] npc | pad4 | cells | gsk484 | npc cells | cell | treated | fig | irradiation | assay [SUMMARY]
[CONTENT] cancer | pad4 | ck | arginine | citrullinated | protein | studies | tumor | citrulline | peptidyl [SUMMARY]
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[CONTENT] pad4 | npc | gsk484 | fig | cells | npc cells | assay | treated | western | cells treated [SUMMARY]
[CONTENT] npc | pad4 | gsk484 elicited inhibitory effects | tumor growth vivo pad4 | tumor growth vivo | upregulated npc upregulation | inhibited tumor | inhibited tumor growth | inhibited tumor growth vivo | novel [SUMMARY]
[CONTENT] pad4 | npc | cells | gsk484 | npc cells | irradiation | treated | cell | fig | tumor [SUMMARY]
[CONTENT] pad4 | npc | cells | gsk484 | npc cells | irradiation | treated | cell | fig | tumor [SUMMARY]
[CONTENT] NPC ||| 4 ||| NPC ||| NPC [SUMMARY]
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[CONTENT] NPC ||| GSK484 | PAD4 | NPC ||| NPC | GSK484 | NPC ||| GSK484 | NPC ||| GSK484 [SUMMARY]
[CONTENT] GSK484 | NPC [SUMMARY]
[CONTENT] NPC ||| 4 ||| NPC ||| NPC ||| 50 | NPC | xenograft ||| RT-qPCR | EdU | Transwell ||| ||| NPC ||| GSK484 | PAD4 | NPC ||| NPC | GSK484 | NPC ||| GSK484 | NPC ||| GSK484 ||| GSK484 | NPC [SUMMARY]
[CONTENT] NPC ||| 4 ||| NPC ||| NPC ||| 50 | NPC | xenograft ||| RT-qPCR | EdU | Transwell ||| ||| NPC ||| GSK484 | PAD4 | NPC ||| NPC | GSK484 | NPC ||| GSK484 | NPC ||| GSK484 ||| GSK484 | NPC [SUMMARY]
Development and Validation of 'Prediction of Adverse Drug Reactions in Older Inpatients (PADROI)' Risk Assessment Tool.
35241911
Adverse drug reactions (ADR) detection and prediction methods in hospitalized older adults remain imprecise. The identification of the risk factors for ADRs in this group of patients is crucial to develop plausible prediction models.
BACKGROUND
We had previously conducted a derivational study that aimed to determine the risk factors of ADRs in hospitalized older adults. We developed the PADROI model as a potential ADR risk assessment tool incorporating 8 predictors each given a score by rounding off the respective adjusted odds ratios (AORs) to the nearest whole number. Subsequently, we conducted another prospective cohort among adults aged 60 years and older admitted to Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards at Mbarara Regional Referral Hospital (MRRH) from July 5 to September 17, 2021.
METHODS AND MATERIALS
A total of 124 participants, 70 females and 54 males aged 60-95 years, were included in this validation cohort; 62 of them experienced 90 ADRs. When applied to the derivational cohort, the area under receiver operating characteristic curve (AUROC) for the PADROI model was shown to be 0.896 (0.869-0.923; at 95% CI). In the validation study, AUROC of PADROI was 0.917 (0.864-0.971 at 95% CI; p < 0.001). Overall, PADROI correctly predicted 91.7% of those who experienced an ADR.
RESULTS
Using the adjusted odds ratios from our derivational cohort, we developed an ADR prediction tool (PADROI) that achieved an excellent AUROC (0.917), high sensitivity (87.1%) and specificity (90.3%). The current model demonstrated a high potential for clinical applicability which can be strengthened if similar results are reproduced in larger and multi-centered studies.
CONCLUSION
[ "Aged", "Aged, 80 and over", "Drug-Related Side Effects and Adverse Reactions", "Female", "Hospitalization", "Humans", "Inpatients", "Male", "Middle Aged", "Prospective Studies", "Risk Assessment", "Risk Factors", "Uganda" ]
8888137
Introduction
The occurrence of adverse drug reactions (ADRs) continues to substantially contribute to the morbidity, mortality and high health care cost in the older population.1–4 The prevalence of ADRs among hospitalized older adults ranged from 6–46% in high income countries (HICs) and from 10.7–64.0% in low- and middle-income countries (LMICs). The majority (60%) of all ADRs in this patient population are potentially preventable.5 Current recommended practice for detecting and predicting ADRs in the elderly comprises thorough documentation and consistent evaluation of prescribed and over-the-counter medications through standardized medication reconciliation.6 ADR detection and prediction methods in hospitalized older adults remain imprecise. Focusing on high-risk medications and patients with multi-morbidity may advance prediction of adverse drug reaction.7 Obtaining a good ADR risk-prediction model usually occurs over four stages; first, identification of predictors of the phenomenon; second, validation that involves testing the potential model performance; third, evaluation of impact and usefulness in routine clinical practice; and lastly, implementation to assess acceptability and performance in real-life clinical practice.8 Area Under the Receiver Operating Characteristic Curves (AUROC) is the average value of the sensitivity for a test over all possible values of specificity or vice versa.9 In screening tests, sensitivity, the true positive rate, refers to the proportion of people that are correctly predicted to have a condition out of all people who actually have it. A sensitivity of 100% means the ability to correctly predict all people with the condition. Specificity, the true negative rate, refers to the proportion of those who were correctly predicted not to have a condition among those that actually do not experience it.10−13 Prediction models are categorized based on their AUROC curve values as: “excellent” (AUROC curve ≥0.900), “very good” (AUROC curve 0.80–0.89), “acceptable” (AUROC curve 0.70–0.79) and ”poor” (AUROC curve <0.7).14–16 Previously developed ADR risk-prediction models in older inpatients had achieved AUROC of 0.7017 to 0.7410 during their validation stages and all of them showed low specificity (<65%) and some of them used retrospective studies to develop their models.17,18 The existing models need further work to enable the development of a robust ADR risk-prediction model that is externally validated, with practical design and good performance.19 However, to the best of our knowledge, there is no study published on the validation of an ADR risk-prediction model for older inpatients in LMICs. These ADR-risk prediction tools help health professionals to accurately predict patients that are going to incur an ADR during their hospital stay, thus, highlighting the need for close monitoring, avoidance of some medications or combination of drugs and to implement other relevant interventions and, ultimately, to mitigate the burden of ADRs in clinical as well as economic aspects.20,21 This study, thus, aimed at developing and validating ‘Prediction of ADR in Older Inpatients’ (PADROI), an ADR-risk prediction tool, by employing two separate prospective cohort studies in older adults in Uganda, a low income country.
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Conclusion
A prospective derivational study was conducted to develop an ADR-risk prediction tool named as PADROI among older inpatients. The PADROI model achieved a very good AUROC in derivational cohort, and excellent AUROC curve in validation cohort as well as in combined cohort. The PADROI model demonstrated a specificity of 90.3% and a sensitivity of 87.1%. The current AUROC curve, sensitivity and specificity were all considerably higher than those achieved by previous studies. We recommend a multi-centered validation study to evaluate the performance and impact the PADROI tool in clinical practice.
[ "Methods", "Development and Scoring of the PADROI Model", "Validation Study", "Study Setting and Period", "Study Design", "Study Population", "Sample Size Determination", "Sampling Techniques", "Data Collection", "Identification of ADRs", "Data Analysis and Interpretation", "Data Management and Quality Assurance", "Ethical Considerations", "Results", "Development and Scoring of the PADROI Risk Assessment Tool", "ROC Curve for the Derivational Study", "Validation Study", "The Participant Characteristics", "ADR Occurrence and the Implicated Drugs", "The Distribution of ADRs Among Patients with Different Risk Factors", "Receiver Operating Characteristic (ROC) Curve of the Validation Cohort", "Sensitivity and Specificity of the ROC at Different Cut-off Values for PADROI", "Receiver Operating Characteristic (ROC) Curve of the Combined Cohort", "Discussion", "Conclusion" ]
[ " Development and Scoring of the PADROI Model The authors had previously conducted a systematic review on risk factors of ADRs among hospitalized older adults. It identified 15 independent risk factors reported by previous studies. The details of the systematic review were published elsewhere.5 Then we included the 15 previously reported risk factors and four more relevant independent variables, as independent variables in our derivational study conducted at MRRH from November 9, 2020 to May 7, 2021. This study, particularly, aimed at determining the risk factors of hospital-acquired ADRs in this group of patients. Details of the results were published elsewhere.22 In the current validation study, we aimed at developing a potential ADR-risk assessment tool from the data set of the derivational study, and then to validate it in a separate follow-on prospective observational study. The data on the 19 independent variables were extracted and were assessed for assumptions of logistic regressionand subjected to multivariable logistic regression. We first verified that there was no significant multicollinearity between any of the 13 independent variables. Moreover, both forward and backward conditional logistic regression similarly showed 8 out of the 13 independent variables to be significantly associated with the occurrence of hospital-acquired ADRs. Eight independent variables that were statistically significant and were retained in the final model included: age 60–75 (AOR = 1.97, 95% CI: 1.14–3.41; p = 0.015) compared with >75 years, previous ADR in 1 year (AOR = 2.43, 95% CI: 1.42–4.17; p = 0.001), PIM (AOR = 4.56, 95% CI: 2.70–7.70; p <0.001), polypharmacy (AOR = 3.29, 95% CI: 1.98–5.46; p <0.001), having CCI ≥6 (AOR = 8.47, 95% CI: 4.85–14.99; p <0.001), having heart failure (AOR = 2.83, 95% CI: 1.34–6.02; p = 0.007) or kidney disease (AOR = 1.95, 95% CI: 1.05–3.61; p = 0.034) and a hospital stay >10 days (AOR = 3.53, 95% CI: 1.89–6.61; p <0.001) compared with <5 days.\nThe authors had previously conducted a systematic review on risk factors of ADRs among hospitalized older adults. It identified 15 independent risk factors reported by previous studies. The details of the systematic review were published elsewhere.5 Then we included the 15 previously reported risk factors and four more relevant independent variables, as independent variables in our derivational study conducted at MRRH from November 9, 2020 to May 7, 2021. This study, particularly, aimed at determining the risk factors of hospital-acquired ADRs in this group of patients. Details of the results were published elsewhere.22 In the current validation study, we aimed at developing a potential ADR-risk assessment tool from the data set of the derivational study, and then to validate it in a separate follow-on prospective observational study. The data on the 19 independent variables were extracted and were assessed for assumptions of logistic regressionand subjected to multivariable logistic regression. We first verified that there was no significant multicollinearity between any of the 13 independent variables. Moreover, both forward and backward conditional logistic regression similarly showed 8 out of the 13 independent variables to be significantly associated with the occurrence of hospital-acquired ADRs. Eight independent variables that were statistically significant and were retained in the final model included: age 60–75 (AOR = 1.97, 95% CI: 1.14–3.41; p = 0.015) compared with >75 years, previous ADR in 1 year (AOR = 2.43, 95% CI: 1.42–4.17; p = 0.001), PIM (AOR = 4.56, 95% CI: 2.70–7.70; p <0.001), polypharmacy (AOR = 3.29, 95% CI: 1.98–5.46; p <0.001), having CCI ≥6 (AOR = 8.47, 95% CI: 4.85–14.99; p <0.001), having heart failure (AOR = 2.83, 95% CI: 1.34–6.02; p = 0.007) or kidney disease (AOR = 1.95, 95% CI: 1.05–3.61; p = 0.034) and a hospital stay >10 days (AOR = 3.53, 95% CI: 1.89–6.61; p <0.001) compared with <5 days.\n Validation Study Study Setting and Period This validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021.\nThis validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021.\n Study Setting and Period This validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021.\nThis validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021.\n Study Design A prospective cohort study was conducted to determine the prediction ability of the PADROI ADR prediction tool.\nA prospective cohort study was conducted to determine the prediction ability of the PADROI ADR prediction tool.\n Study Population We included all inpatients 60 years and older who were admitted to Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of MRRH during the study period and gave their informed consent. We excluded patients in coma or any level of unconsciousness as well as unstable psychiatric patients with mood disorders, schizophrenia and dementia who were on acute treatment. We also excluded patients who died or were discharged in less than 48 hours.\nWe included all inpatients 60 years and older who were admitted to Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of MRRH during the study period and gave their informed consent. We excluded patients in coma or any level of unconsciousness as well as unstable psychiatric patients with mood disorders, schizophrenia and dementia who were on acute treatment. We also excluded patients who died or were discharged in less than 48 hours.\n Sample Size Determination The sample size for this validation study was calculated using MedCalc® Software Version 19.2 (©1993–2020), that employed the standard formula for sample size determination for ROC studies.23 Taking a power of 90% and Type I error of 0.01, null hypothesis AUROC (the best available AUROC in older inpatients) of 0.74,10 and a target AUROC of 0.896 obtained from derivational cohort of the current project,22 48 positive cases (patients with ADR) and 48 negative cases (patients without ADR) are required for this ROC study. By adding 25% for potential drop-outs, 60 positive cases and 60 negative cases, totaling 120 patients, who are 60 years and older were required.\nThe sample size for this validation study was calculated using MedCalc® Software Version 19.2 (©1993–2020), that employed the standard formula for sample size determination for ROC studies.23 Taking a power of 90% and Type I error of 0.01, null hypothesis AUROC (the best available AUROC in older inpatients) of 0.74,10 and a target AUROC of 0.896 obtained from derivational cohort of the current project,22 48 positive cases (patients with ADR) and 48 negative cases (patients without ADR) are required for this ROC study. By adding 25% for potential drop-outs, 60 positive cases and 60 negative cases, totaling 120 patients, who are 60 years and older were required.\n Sampling Techniques We employed a consecutive sampling technique involving all adults 60 years and older admitted at Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards. Accordingly, all older patients who passed the inclusion and exclusion criteria were consecutively recruited until the target sample was achieved for both the cases and controls.\nWe employed a consecutive sampling technique involving all adults 60 years and older admitted at Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards. Accordingly, all older patients who passed the inclusion and exclusion criteria were consecutively recruited until the target sample was achieved for both the cases and controls.\n Data Collection Three research assistants were involved in the data collection process. The principal investigator (senior clinical pharmacist) together with two physicians formed a team of experts. Firstly, an interviewer-based structured questionnaire was used to collect the data on participants’ characteristics, history of medical, surgical, gynecological and psychiatric conditions and previous drug uses, drug allergies, use of non-prescription and alternative medicines. Secondly, we reviewed patients’ medical files for diagnosis, comorbid conditions, previous adverse drug events, and diagnostic test results as soon as possible but within 48 hours. Thirdly, every day during their hospital stay except on Sundays, we updated the participants’ information after we interviewed them, conducted targeted physical assessments, and reviewed their medical files.\nFourthly, we used the British National Formulary (BNP)24 and UpToDate25 to identify the known ADR profile of the drugs used. We employed the Beers Criteria26 to identify PIMs. Polypharmacy was defined as concurrent use of five or more drugs (active pharmaceutical ingredients).18,27–31 Lexicomp® was used to detect clinically significant drug-drug interactions. The medications suspected for ADRs were classified according to the WHO-Anatomical Therapeutic Chemical (ATC) classification.32 Charlson Comorbidity Index was used to rate the complexity and prognosis of the participants’ conditions.33\nAll adverse events suspected by the principal investigator and the physician were considered for ADR causality rating and discussion by the team. The body systems affected by ADRs were categorized using the International Statistical Classification of Diseases for Mortality and Morbidity Statistics (ICD-11 MMS).34\nThree research assistants were involved in the data collection process. The principal investigator (senior clinical pharmacist) together with two physicians formed a team of experts. Firstly, an interviewer-based structured questionnaire was used to collect the data on participants’ characteristics, history of medical, surgical, gynecological and psychiatric conditions and previous drug uses, drug allergies, use of non-prescription and alternative medicines. Secondly, we reviewed patients’ medical files for diagnosis, comorbid conditions, previous adverse drug events, and diagnostic test results as soon as possible but within 48 hours. Thirdly, every day during their hospital stay except on Sundays, we updated the participants’ information after we interviewed them, conducted targeted physical assessments, and reviewed their medical files.\nFourthly, we used the British National Formulary (BNP)24 and UpToDate25 to identify the known ADR profile of the drugs used. We employed the Beers Criteria26 to identify PIMs. Polypharmacy was defined as concurrent use of five or more drugs (active pharmaceutical ingredients).18,27–31 Lexicomp® was used to detect clinically significant drug-drug interactions. The medications suspected for ADRs were classified according to the WHO-Anatomical Therapeutic Chemical (ATC) classification.32 Charlson Comorbidity Index was used to rate the complexity and prognosis of the participants’ conditions.33\nAll adverse events suspected by the principal investigator and the physician were considered for ADR causality rating and discussion by the team. The body systems affected by ADRs were categorized using the International Statistical Classification of Diseases for Mortality and Morbidity Statistics (ICD-11 MMS).34\n Identification of ADRs We used Edwards and Aronson’s definition of ADR: ‘an appreciably harmful or unpleasant reaction, resulting from an intervention related to the use of a medicinal product, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the product.’35 ADRs were first suspected when there was a relationship between the time of drug administration and the onset and course of the adverse reaction while excluding other potential causes.36 Every day except on Sundays, all ADRs suspected by the principal investigator were discussed with the team of experts consisting of the principal investigator (senior clinical pharmacist) and two senior physicians to establish the drug causality of the suspected ADRs. The principal investigator then used the Naranjo ADR assessment scale37 to rate the causal relationship of an ADR and the suspected medication. ADRs were classified as definite (9–12 points), probable (5–8 points), possible (1–4 points), or doubtful (0 points). We excluded all doubtful ADRs whereas we endorsed those rated as possible, probable or definite as’ possible ADR’s once consensus was reached by the team of experts. When consensus was not reached, a majority decision of the three members of the team was applied.\nWe used Edwards and Aronson’s definition of ADR: ‘an appreciably harmful or unpleasant reaction, resulting from an intervention related to the use of a medicinal product, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the product.’35 ADRs were first suspected when there was a relationship between the time of drug administration and the onset and course of the adverse reaction while excluding other potential causes.36 Every day except on Sundays, all ADRs suspected by the principal investigator were discussed with the team of experts consisting of the principal investigator (senior clinical pharmacist) and two senior physicians to establish the drug causality of the suspected ADRs. The principal investigator then used the Naranjo ADR assessment scale37 to rate the causal relationship of an ADR and the suspected medication. ADRs were classified as definite (9–12 points), probable (5–8 points), possible (1–4 points), or doubtful (0 points). We excluded all doubtful ADRs whereas we endorsed those rated as possible, probable or definite as’ possible ADR’s once consensus was reached by the team of experts. When consensus was not reached, a majority decision of the three members of the team was applied.\n Data Analysis and Interpretation The data were entered and cleaned by EpiInfo version 7.2.3.1 and then transferred to and analyzed by IBM Statistical Package for the Social Sciences (SPSS version 23.0 Inc., Chicago, Illinois). Descriptive statistics was used to determine the frequencies and percentages of the ADR occurrences and categories, drugs associated with the ADRs, and distribution of the predictors among patients with at least one hospital-acquired ADR and those without one.\nFor both the derivational and validation studies, we determined the predictive ability of the PADROI model by fitting Receiver Operating Characteristic curves and calculating the area under the curve and sensitivities and specificities at different cut-off points using ROC analysis using SPSS. A p value of <0.05 was considered statistically significant in all analyses.\nThe data were entered and cleaned by EpiInfo version 7.2.3.1 and then transferred to and analyzed by IBM Statistical Package for the Social Sciences (SPSS version 23.0 Inc., Chicago, Illinois). Descriptive statistics was used to determine the frequencies and percentages of the ADR occurrences and categories, drugs associated with the ADRs, and distribution of the predictors among patients with at least one hospital-acquired ADR and those without one.\nFor both the derivational and validation studies, we determined the predictive ability of the PADROI model by fitting Receiver Operating Characteristic curves and calculating the area under the curve and sensitivities and specificities at different cut-off points using ROC analysis using SPSS. A p value of <0.05 was considered statistically significant in all analyses.\n Data Management and Quality Assurance The research assistants were trained by the principal investigator. Then a pre-test was conducted involving two patients at each ward. Data collection procedure was revised based on the experiences from the pilot test. The collected data were checked daily for completeness and consistency by the principal investigator. Confirmation and causality rating of ADRs were discussed among the team of experts to reach a consensus. Data were double-entered, cross-checked, and password-protected.\nThe research assistants were trained by the principal investigator. Then a pre-test was conducted involving two patients at each ward. Data collection procedure was revised based on the experiences from the pilot test. The collected data were checked daily for completeness and consistency by the principal investigator. Confirmation and causality rating of ADRs were discussed among the team of experts to reach a consensus. Data were double-entered, cross-checked, and password-protected.\n Ethical Considerations This study was conducted according to the Declaration of Helsinki.38 The current study was approved by Institutional Review Board of Mbarara University of Science and Technology (Reference No. MUREC 1/7) and Uganda National Council for Science and Technology (Reference No. HS992ES).\nThis study was conducted according to the Declaration of Helsinki.38 The current study was approved by Institutional Review Board of Mbarara University of Science and Technology (Reference No. MUREC 1/7) and Uganda National Council for Science and Technology (Reference No. HS992ES).", "The authors had previously conducted a systematic review on risk factors of ADRs among hospitalized older adults. It identified 15 independent risk factors reported by previous studies. The details of the systematic review were published elsewhere.5 Then we included the 15 previously reported risk factors and four more relevant independent variables, as independent variables in our derivational study conducted at MRRH from November 9, 2020 to May 7, 2021. This study, particularly, aimed at determining the risk factors of hospital-acquired ADRs in this group of patients. Details of the results were published elsewhere.22 In the current validation study, we aimed at developing a potential ADR-risk assessment tool from the data set of the derivational study, and then to validate it in a separate follow-on prospective observational study. The data on the 19 independent variables were extracted and were assessed for assumptions of logistic regressionand subjected to multivariable logistic regression. We first verified that there was no significant multicollinearity between any of the 13 independent variables. Moreover, both forward and backward conditional logistic regression similarly showed 8 out of the 13 independent variables to be significantly associated with the occurrence of hospital-acquired ADRs. Eight independent variables that were statistically significant and were retained in the final model included: age 60–75 (AOR = 1.97, 95% CI: 1.14–3.41; p = 0.015) compared with >75 years, previous ADR in 1 year (AOR = 2.43, 95% CI: 1.42–4.17; p = 0.001), PIM (AOR = 4.56, 95% CI: 2.70–7.70; p <0.001), polypharmacy (AOR = 3.29, 95% CI: 1.98–5.46; p <0.001), having CCI ≥6 (AOR = 8.47, 95% CI: 4.85–14.99; p <0.001), having heart failure (AOR = 2.83, 95% CI: 1.34–6.02; p = 0.007) or kidney disease (AOR = 1.95, 95% CI: 1.05–3.61; p = 0.034) and a hospital stay >10 days (AOR = 3.53, 95% CI: 1.89–6.61; p <0.001) compared with <5 days.", " Study Setting and Period This validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021.\nThis validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021.", "This validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021.", "A prospective cohort study was conducted to determine the prediction ability of the PADROI ADR prediction tool.", "We included all inpatients 60 years and older who were admitted to Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of MRRH during the study period and gave their informed consent. We excluded patients in coma or any level of unconsciousness as well as unstable psychiatric patients with mood disorders, schizophrenia and dementia who were on acute treatment. We also excluded patients who died or were discharged in less than 48 hours.", "The sample size for this validation study was calculated using MedCalc® Software Version 19.2 (©1993–2020), that employed the standard formula for sample size determination for ROC studies.23 Taking a power of 90% and Type I error of 0.01, null hypothesis AUROC (the best available AUROC in older inpatients) of 0.74,10 and a target AUROC of 0.896 obtained from derivational cohort of the current project,22 48 positive cases (patients with ADR) and 48 negative cases (patients without ADR) are required for this ROC study. By adding 25% for potential drop-outs, 60 positive cases and 60 negative cases, totaling 120 patients, who are 60 years and older were required.", "We employed a consecutive sampling technique involving all adults 60 years and older admitted at Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards. Accordingly, all older patients who passed the inclusion and exclusion criteria were consecutively recruited until the target sample was achieved for both the cases and controls.", "Three research assistants were involved in the data collection process. The principal investigator (senior clinical pharmacist) together with two physicians formed a team of experts. Firstly, an interviewer-based structured questionnaire was used to collect the data on participants’ characteristics, history of medical, surgical, gynecological and psychiatric conditions and previous drug uses, drug allergies, use of non-prescription and alternative medicines. Secondly, we reviewed patients’ medical files for diagnosis, comorbid conditions, previous adverse drug events, and diagnostic test results as soon as possible but within 48 hours. Thirdly, every day during their hospital stay except on Sundays, we updated the participants’ information after we interviewed them, conducted targeted physical assessments, and reviewed their medical files.\nFourthly, we used the British National Formulary (BNP)24 and UpToDate25 to identify the known ADR profile of the drugs used. We employed the Beers Criteria26 to identify PIMs. Polypharmacy was defined as concurrent use of five or more drugs (active pharmaceutical ingredients).18,27–31 Lexicomp® was used to detect clinically significant drug-drug interactions. The medications suspected for ADRs were classified according to the WHO-Anatomical Therapeutic Chemical (ATC) classification.32 Charlson Comorbidity Index was used to rate the complexity and prognosis of the participants’ conditions.33\nAll adverse events suspected by the principal investigator and the physician were considered for ADR causality rating and discussion by the team. The body systems affected by ADRs were categorized using the International Statistical Classification of Diseases for Mortality and Morbidity Statistics (ICD-11 MMS).34", "We used Edwards and Aronson’s definition of ADR: ‘an appreciably harmful or unpleasant reaction, resulting from an intervention related to the use of a medicinal product, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the product.’35 ADRs were first suspected when there was a relationship between the time of drug administration and the onset and course of the adverse reaction while excluding other potential causes.36 Every day except on Sundays, all ADRs suspected by the principal investigator were discussed with the team of experts consisting of the principal investigator (senior clinical pharmacist) and two senior physicians to establish the drug causality of the suspected ADRs. The principal investigator then used the Naranjo ADR assessment scale37 to rate the causal relationship of an ADR and the suspected medication. ADRs were classified as definite (9–12 points), probable (5–8 points), possible (1–4 points), or doubtful (0 points). We excluded all doubtful ADRs whereas we endorsed those rated as possible, probable or definite as’ possible ADR’s once consensus was reached by the team of experts. When consensus was not reached, a majority decision of the three members of the team was applied.", "The data were entered and cleaned by EpiInfo version 7.2.3.1 and then transferred to and analyzed by IBM Statistical Package for the Social Sciences (SPSS version 23.0 Inc., Chicago, Illinois). Descriptive statistics was used to determine the frequencies and percentages of the ADR occurrences and categories, drugs associated with the ADRs, and distribution of the predictors among patients with at least one hospital-acquired ADR and those without one.\nFor both the derivational and validation studies, we determined the predictive ability of the PADROI model by fitting Receiver Operating Characteristic curves and calculating the area under the curve and sensitivities and specificities at different cut-off points using ROC analysis using SPSS. A p value of <0.05 was considered statistically significant in all analyses.", "The research assistants were trained by the principal investigator. Then a pre-test was conducted involving two patients at each ward. Data collection procedure was revised based on the experiences from the pilot test. The collected data were checked daily for completeness and consistency by the principal investigator. Confirmation and causality rating of ADRs were discussed among the team of experts to reach a consensus. Data were double-entered, cross-checked, and password-protected.", "This study was conducted according to the Declaration of Helsinki.38 The current study was approved by Institutional Review Board of Mbarara University of Science and Technology (Reference No. MUREC 1/7) and Uganda National Council for Science and Technology (Reference No. HS992ES).", " Development and Scoring of the PADROI Risk Assessment Tool A score was assigned to each of the 8 included predictors by rounding off the respective Adjusted Odds Ratios (AORs) to the nearest whole number. The score for hospital stay was considered only when patients were hospitalized for 11 or more days. For patients who experienced an ADR, the hospital stay referred to the number of days before the first ADR occurred instead of the total duration of hospital stay. Likewise, only polypharmacy and PIM incidents that were experienced before the occurrence of an ADR were used in scoring of PADROI. Charlson Comorbidity Index (CCI) calculated before the first incident of ADR was considered. Previous ADRs included any possible suspected ADR that occurred within one year preceding the current hospitalization. Kidney disease includes any structural or functional renal problem diagnosed by a doctor as confirmed by laboratory tests, diagnostic tools or biopsy. The weight of the risk associated with each independent predictor was obtained by rounding off the respective AORs to the nearest whole number. The sum of weights of the eight-risk factors of the PADROI model totaled 29. We also developed an alternative model by assigning points to each predictor using the adjusted β coefficients rounded off to one decimal and then by multiplying each score by 10 (Table 1).\nTable 1PADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021No.PredictorAOR of the Variable’s CategoryPoints Assigned According to AORβ-adjePoints Assigned According to β-adj1Age 60–75 years1.972.00.772Previous ADR in 1 year2.432.00.993aPIM4.565.01.5154bPolypharmacy3.293.01.2125cCCI ≥68.478.02.1216Heart failure2.833.01.0107dKidney disease1.952.00.778Hospital stay ≥11 days3.534.01.313Total-___/29-___/94Notes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal.\n\nPADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021\nNotes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal.\nA score was assigned to each of the 8 included predictors by rounding off the respective Adjusted Odds Ratios (AORs) to the nearest whole number. The score for hospital stay was considered only when patients were hospitalized for 11 or more days. For patients who experienced an ADR, the hospital stay referred to the number of days before the first ADR occurred instead of the total duration of hospital stay. Likewise, only polypharmacy and PIM incidents that were experienced before the occurrence of an ADR were used in scoring of PADROI. Charlson Comorbidity Index (CCI) calculated before the first incident of ADR was considered. Previous ADRs included any possible suspected ADR that occurred within one year preceding the current hospitalization. Kidney disease includes any structural or functional renal problem diagnosed by a doctor as confirmed by laboratory tests, diagnostic tools or biopsy. The weight of the risk associated with each independent predictor was obtained by rounding off the respective AORs to the nearest whole number. The sum of weights of the eight-risk factors of the PADROI model totaled 29. We also developed an alternative model by assigning points to each predictor using the adjusted β coefficients rounded off to one decimal and then by multiplying each score by 10 (Table 1).\nTable 1PADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021No.PredictorAOR of the Variable’s CategoryPoints Assigned According to AORβ-adjePoints Assigned According to β-adj1Age 60–75 years1.972.00.772Previous ADR in 1 year2.432.00.993aPIM4.565.01.5154bPolypharmacy3.293.01.2125cCCI ≥68.478.02.1216Heart failure2.833.01.0107dKidney disease1.952.00.778Hospital stay ≥11 days3.534.01.313Total-___/29-___/94Notes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal.\n\nPADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021\nNotes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal.\n ROC Curve for the Derivational Study The AUROC curve for the PADROI model that was developed using adjusted odds ratios was shown to be 0.896 (0.869–0.923; at 95% CI; p <0.001) for the derivational study. This AUC is classified as’ very good or 0.800–0.899.’ The ROC curve was positioned at the top left for sensitivity which revealed its high prediction ability for ADRs (Figure 1). A cut-off point for PADROI score of 11 and above showed an optimal ADR risk prediction ability with a balanced sensitivity and specificity. At this point PADROI showed a sensitivity of 79.3% (true positive) and specificity of 86.1% (true negative). The mean PADROI scores were observed to be 15.5±5.8 and 5.9±4.6 for patients with ADR and those without respectively.Figure 1ROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study.\nROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study.\nThe AUROC curve was 0.897 (0.870–0.924 at 95% CI; p <0.001) for the PADROI tool that was developed using the adjusted β coefficients. Thus, the ADR risk prediction ability of the two tools was shown to be the same. Because of its simplicity (total scores of 29 compared with 94) and a smoother AUROC curve, we selected PADROI tool that was developed from the adjusted odds ratios for our validation study (Figures 2 and 3).Figure 2ROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study.Figure 3The comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study.\nROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study.\nThe comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study.\nThe AUROC curve for the PADROI model that was developed using adjusted odds ratios was shown to be 0.896 (0.869–0.923; at 95% CI; p <0.001) for the derivational study. This AUC is classified as’ very good or 0.800–0.899.’ The ROC curve was positioned at the top left for sensitivity which revealed its high prediction ability for ADRs (Figure 1). A cut-off point for PADROI score of 11 and above showed an optimal ADR risk prediction ability with a balanced sensitivity and specificity. At this point PADROI showed a sensitivity of 79.3% (true positive) and specificity of 86.1% (true negative). The mean PADROI scores were observed to be 15.5±5.8 and 5.9±4.6 for patients with ADR and those without respectively.Figure 1ROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study.\nROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study.\nThe AUROC curve was 0.897 (0.870–0.924 at 95% CI; p <0.001) for the PADROI tool that was developed using the adjusted β coefficients. Thus, the ADR risk prediction ability of the two tools was shown to be the same. Because of its simplicity (total scores of 29 compared with 94) and a smoother AUROC curve, we selected PADROI tool that was developed from the adjusted odds ratios for our validation study (Figures 2 and 3).Figure 2ROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study.Figure 3The comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study.\nROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study.\nThe comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study.\n Validation Study The Participant Characteristics For this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nThe gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nFor this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nThe gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\n The Participant Characteristics For this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nThe gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nFor this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nThe gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\n ADR Occurrence and the Implicated Drugs Sixty-two patients experienced a total of 90 ADRs during the current hospital stay. Applying the Naranjo ADR causality scale, 68 (75.6%), 19 (21.1%), and 3 (3.3%) ADRs were rated as probable, possible, and definite ADRs, respectively. ADRs affecting the nervous (38, 42.2%), gastrointestinal (28, 31.1%), and cardiovascular systems (13, 14.5%) were the three most frequently experienced ADRs during the current hospitalization. Metronidazole (11/90), ceftriaxone (7/90), furosemide (6/90), tramadol (6/90) and morphine (6/90) were observed to be the five drugs most commonly suspected as the cause of the ADRs (Table 2).\nTable 2The Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021Category of ADRSpecific ADRsDrugs Suspected for the ADRsNervous system: 38 (42.2%)Dizziness (16), Drowsiness (15), Extrapyramidal reaction (2), Neuropathy (2), Headache (1), Lethargy (1), Metallic taste (1)Metronidazole (8), Ceftriaxone (4), Furosemide (4), Morphine (3), Metoclopramide (2), Haloperidol (2), Tramadol (2), Ondansetron (2), Tramadol and Metronidazole (2), Haloperidol and Carbamazepine (1), Levofloxacin (1), Meperidine (1), Phenytoin (1), Spironolactone (1), Isoniazid (1), Bicalutamide (1), Digoxin (1), Clonazepam (1)Gastrointestinal: 28 (31.1%)Constipation (9), Nausea (5), Nausea and vomiting (4), Abdominal pain (3), Diarrhea (3), Hiccups (1), Xerostomia (1), Gastritis (1), Mucositis (1)Ceftriaxone (3), Morphine (3), Capecitabine (2), Bisacodyl (2), Nifedipine (2), Docetaxel and Gemcitabine (2), Fluorouracil (2), Ondansetron (1), Amlodipine (1), Cisplatin (2), Codeine (1), Fentanyl (1), Furosemide (1), Metronidazole (1), Sevelamer (1), Tramadol (1), Vitamin C and Ferrous sulfate (1), Dexamethasone (1)Cardiovascular: 13 (14.5%)Tachycardia (4), Hypotension (3), Hypertension (3), Bradycardia (1), Fluid retention (1), Palpitation (1)Carbamazepine (2), Omeprazole (2), Sildenafil (1), Furosemide (1), Dexamethasone (1), Ciprofloxacin (1), Carvedilol (1), Trihexyphenidyl and Haloperidol (1), Vitamin K (1), Haloperidol and Fluoxetine (1), Imatinib (1)Endocrine & metabolic: 5 (5.6%)Hypoglycemia (4), Hyponatremia (1)Insulin (3), Metformin (1), Imatinib (1)Dermatologic: 2 (2.2%)Pruritus (2)Dexamethasone (1), Vancomycin (1)Eye/Otic: 2 (2.2%)Visual changes (1), Tinnitus (1)Tranexamic acid (1), Gentamycin and Tramadol (1)Hematologic and oncologic: 1 (1.1%)Anemia (1)Cisplatin and Fluorouracil (1)Renal: 1 (1.1%)Renal insufficiency (1)Cisplatin (1)\n\nThe Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021\nSixty-two patients experienced a total of 90 ADRs during the current hospital stay. Applying the Naranjo ADR causality scale, 68 (75.6%), 19 (21.1%), and 3 (3.3%) ADRs were rated as probable, possible, and definite ADRs, respectively. ADRs affecting the nervous (38, 42.2%), gastrointestinal (28, 31.1%), and cardiovascular systems (13, 14.5%) were the three most frequently experienced ADRs during the current hospitalization. Metronidazole (11/90), ceftriaxone (7/90), furosemide (6/90), tramadol (6/90) and morphine (6/90) were observed to be the five drugs most commonly suspected as the cause of the ADRs (Table 2).\nTable 2The Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021Category of ADRSpecific ADRsDrugs Suspected for the ADRsNervous system: 38 (42.2%)Dizziness (16), Drowsiness (15), Extrapyramidal reaction (2), Neuropathy (2), Headache (1), Lethargy (1), Metallic taste (1)Metronidazole (8), Ceftriaxone (4), Furosemide (4), Morphine (3), Metoclopramide (2), Haloperidol (2), Tramadol (2), Ondansetron (2), Tramadol and Metronidazole (2), Haloperidol and Carbamazepine (1), Levofloxacin (1), Meperidine (1), Phenytoin (1), Spironolactone (1), Isoniazid (1), Bicalutamide (1), Digoxin (1), Clonazepam (1)Gastrointestinal: 28 (31.1%)Constipation (9), Nausea (5), Nausea and vomiting (4), Abdominal pain (3), Diarrhea (3), Hiccups (1), Xerostomia (1), Gastritis (1), Mucositis (1)Ceftriaxone (3), Morphine (3), Capecitabine (2), Bisacodyl (2), Nifedipine (2), Docetaxel and Gemcitabine (2), Fluorouracil (2), Ondansetron (1), Amlodipine (1), Cisplatin (2), Codeine (1), Fentanyl (1), Furosemide (1), Metronidazole (1), Sevelamer (1), Tramadol (1), Vitamin C and Ferrous sulfate (1), Dexamethasone (1)Cardiovascular: 13 (14.5%)Tachycardia (4), Hypotension (3), Hypertension (3), Bradycardia (1), Fluid retention (1), Palpitation (1)Carbamazepine (2), Omeprazole (2), Sildenafil (1), Furosemide (1), Dexamethasone (1), Ciprofloxacin (1), Carvedilol (1), Trihexyphenidyl and Haloperidol (1), Vitamin K (1), Haloperidol and Fluoxetine (1), Imatinib (1)Endocrine & metabolic: 5 (5.6%)Hypoglycemia (4), Hyponatremia (1)Insulin (3), Metformin (1), Imatinib (1)Dermatologic: 2 (2.2%)Pruritus (2)Dexamethasone (1), Vancomycin (1)Eye/Otic: 2 (2.2%)Visual changes (1), Tinnitus (1)Tranexamic acid (1), Gentamycin and Tramadol (1)Hematologic and oncologic: 1 (1.1%)Anemia (1)Cisplatin and Fluorouracil (1)Renal: 1 (1.1%)Renal insufficiency (1)Cisplatin (1)\n\nThe Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021\n The Distribution of ADRs Among Patients with Different Risk Factors Ninety-three (75.0%) of the patients were 60–75 years old; out of which 48 (51.6%) experienced at least one ADR. Among 98 (79.0%) patients who stayed in the hospital for 11 and more days, 52 (53.1%) incurred ADR. Similarly, among the 53 (42.7%) patients who had experienced an ADR in the previous one year, 33 (62.3%) experienced ADR during the current admission. Twenty-six (21.0%) of them had been diagnosed with a renal disease, 21 (16.9%) patients had heart failure and 37 (29.8%) had a CCI≥6. Another 45 (36.3%) patients took at least one PIM and 76 (61.3%) of the patients were on polypharmacy; out of which 37 (82.2%) and 49 (64.5%) experienced ADR respectively (Table 3).\nTable 3The Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021VariablesCategoriesHospital Acquired ADRNoYesTotal (N = 124)Frequency (%)Frequency (%)Frequency (%)Age category60–7545 (48.4)48 (51.6)93 (75.0)>7517 (54.8)14 (45.2)31 (25.0)Hospital stay in days≤1016 (61.5)10 (38.5)26 (21.0)≥1146 (46.9)52 (53.1)98 (79.0)Previous ADR in 1 yearNo42 (59.2)29 (40.8)71 (57.3)Yes20 (37.7)33 (62.3)53 (42.7)Renal diseaseNo54 (55.1)44 (44.9)98 (79.0)Yes8 (30.8)18 (69.2)26 (21.0)Heart failureNo55 (53.4)48 (46.6)103 (83.1)Yes7 (33.3)14 (66.7)21 (16.9)CCI category≤560 (69.0)27 (31.0)87 (70.2)≥62 (5.4)35 (94.6)37 (29.8)PIMNo54 (68.4)25 (31.6)79 (63.7)Yes8 (17.8)37 (82.2)45 (36.3)PolypharmacyNo35 (72.9)13 (27.1)48 (38.7)Yes27 (35.5)49 (64.5)76 (61.3)\n\nThe Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021\nNinety-three (75.0%) of the patients were 60–75 years old; out of which 48 (51.6%) experienced at least one ADR. Among 98 (79.0%) patients who stayed in the hospital for 11 and more days, 52 (53.1%) incurred ADR. Similarly, among the 53 (42.7%) patients who had experienced an ADR in the previous one year, 33 (62.3%) experienced ADR during the current admission. Twenty-six (21.0%) of them had been diagnosed with a renal disease, 21 (16.9%) patients had heart failure and 37 (29.8%) had a CCI≥6. Another 45 (36.3%) patients took at least one PIM and 76 (61.3%) of the patients were on polypharmacy; out of which 37 (82.2%) and 49 (64.5%) experienced ADR respectively (Table 3).\nTable 3The Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021VariablesCategoriesHospital Acquired ADRNoYesTotal (N = 124)Frequency (%)Frequency (%)Frequency (%)Age category60–7545 (48.4)48 (51.6)93 (75.0)>7517 (54.8)14 (45.2)31 (25.0)Hospital stay in days≤1016 (61.5)10 (38.5)26 (21.0)≥1146 (46.9)52 (53.1)98 (79.0)Previous ADR in 1 yearNo42 (59.2)29 (40.8)71 (57.3)Yes20 (37.7)33 (62.3)53 (42.7)Renal diseaseNo54 (55.1)44 (44.9)98 (79.0)Yes8 (30.8)18 (69.2)26 (21.0)Heart failureNo55 (53.4)48 (46.6)103 (83.1)Yes7 (33.3)14 (66.7)21 (16.9)CCI category≤560 (69.0)27 (31.0)87 (70.2)≥62 (5.4)35 (94.6)37 (29.8)PIMNo54 (68.4)25 (31.6)79 (63.7)Yes8 (17.8)37 (82.2)45 (36.3)PolypharmacyNo35 (72.9)13 (27.1)48 (38.7)Yes27 (35.5)49 (64.5)76 (61.3)\n\nThe Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021\n Receiver Operating Characteristic (ROC) Curve of the Validation Cohort The ROC curve for this validation study is positioned at top-left side showing a good prediction ability of the tool for hospital-acquired ADRs in hospitalized older adults. The current AUROC, which is the average value of the sensitivity for a test over all possible values of specificity or vice versa,9 of 0.917 (0.864–0.971 at 95% CI; p <0.001) is categorized as excellent (AUC >0.900). Overall, the PADROI tool has correctly predicted 91.7% of those who experienced an ADR but falsely classified 8.3% of the patients to be at no risk of incurring an ADR (Figure 5). The mean PADROI scores for participants with ADR and without ADR was shown to be 15.4±5.3 and 5.9±3.6, respectively.Figure 5The ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\nThe ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\nThe ROC curve for this validation study is positioned at top-left side showing a good prediction ability of the tool for hospital-acquired ADRs in hospitalized older adults. The current AUROC, which is the average value of the sensitivity for a test over all possible values of specificity or vice versa,9 of 0.917 (0.864–0.971 at 95% CI; p <0.001) is categorized as excellent (AUC >0.900). Overall, the PADROI tool has correctly predicted 91.7% of those who experienced an ADR but falsely classified 8.3% of the patients to be at no risk of incurring an ADR (Figure 5). The mean PADROI scores for participants with ADR and without ADR was shown to be 15.4±5.3 and 5.9±3.6, respectively.Figure 5The ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\nThe ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\n Sensitivity and Specificity of the ROC at Different Cut-off Values for PADROI As the scores of the PADROI increased from 0 to 10, the AUROC increased from 0.516 to 0.887 and its sensitivity declined from 100% to 87.1% and the specificity increased from 3.2% to 90.3%. Beyond the PADROI scores of 10, however, the AUROC did not show increase and then began to decline as the sensitivity was declining. Thus, a cut-off point for PADROI scores of ≥10 points showed an optimal prediction ability where it correctly predicted 54 (PADROI ≥10) out of the 62 patients who actually experienced an ADR (sensitivity of 87.1%) whereas 56 (PADROI <10) out of the 62 patients without ADR were correctly classified as not at risk of ADR (specificity = 90.3%) (Table 4).\nTable 4The Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, UgandaPADROI ScoresHospital Acquired ADRAUCSensitivity (%)Specificity (%)No (N = 62)Yes (N = 62)Total (N = 124)Frequency (%)Frequency (%)Frequency (%)Greater or equal to 160 (49.2)62 (50.8)122 (98.4%)0.5161003.2Greater or equal to 540 (40.0)60 (60.0)100 (80.6)0.66196.835.5Greater or equal to 814 (19.7)57 (80.3)71 (57.3)0.84791.977.4Greater or equal to 106 (10.0)54 (90.0)60 (48.4)0.88787.190.3Greater or equal to 124 (7.1)52 (92.9)56 (45.2)0.88783.993.5Greater or equal to 152 (5.1)37 (94.9)39 (31.5)0.78259.796.8Greater or equal to 200 (0.0)15 (100.0)15 (12.1)0.62124.2100Greater or equal to 250 (0.0)1 (100.0)1 (0.8)0.5081.6100Total6262124***Notes: *Not applicable. Bold: Recommended cut-off point.\n\nThe Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, Uganda\nNotes: *Not applicable. Bold: Recommended cut-off point.\nAs the scores of the PADROI increased from 0 to 10, the AUROC increased from 0.516 to 0.887 and its sensitivity declined from 100% to 87.1% and the specificity increased from 3.2% to 90.3%. Beyond the PADROI scores of 10, however, the AUROC did not show increase and then began to decline as the sensitivity was declining. Thus, a cut-off point for PADROI scores of ≥10 points showed an optimal prediction ability where it correctly predicted 54 (PADROI ≥10) out of the 62 patients who actually experienced an ADR (sensitivity of 87.1%) whereas 56 (PADROI <10) out of the 62 patients without ADR were correctly classified as not at risk of ADR (specificity = 90.3%) (Table 4).\nTable 4The Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, UgandaPADROI ScoresHospital Acquired ADRAUCSensitivity (%)Specificity (%)No (N = 62)Yes (N = 62)Total (N = 124)Frequency (%)Frequency (%)Frequency (%)Greater or equal to 160 (49.2)62 (50.8)122 (98.4%)0.5161003.2Greater or equal to 540 (40.0)60 (60.0)100 (80.6)0.66196.835.5Greater or equal to 814 (19.7)57 (80.3)71 (57.3)0.84791.977.4Greater or equal to 106 (10.0)54 (90.0)60 (48.4)0.88787.190.3Greater or equal to 124 (7.1)52 (92.9)56 (45.2)0.88783.993.5Greater or equal to 152 (5.1)37 (94.9)39 (31.5)0.78259.796.8Greater or equal to 200 (0.0)15 (100.0)15 (12.1)0.62124.2100Greater or equal to 250 (0.0)1 (100.0)1 (0.8)0.5081.6100Total6262124***Notes: *Not applicable. Bold: Recommended cut-off point.\n\nThe Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, Uganda\nNotes: *Not applicable. Bold: Recommended cut-off point.\n Receiver Operating Characteristic (ROC) Curve of the Combined Cohort The AUROC for the combined cohort was observed to be 0.900 (0.876–0.924 at 95% CI; p <0.001). It showed a sensitivity of 78.3% and a specificity of 89.4% at a cut-off PADROI point of 11 and above (Figure 6).Figure 6The ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\nThe ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\nThe AUROC for the combined cohort was observed to be 0.900 (0.876–0.924 at 95% CI; p <0.001). It showed a sensitivity of 78.3% and a specificity of 89.4% at a cut-off PADROI point of 11 and above (Figure 6).Figure 6The ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\nThe ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.", "A score was assigned to each of the 8 included predictors by rounding off the respective Adjusted Odds Ratios (AORs) to the nearest whole number. The score for hospital stay was considered only when patients were hospitalized for 11 or more days. For patients who experienced an ADR, the hospital stay referred to the number of days before the first ADR occurred instead of the total duration of hospital stay. Likewise, only polypharmacy and PIM incidents that were experienced before the occurrence of an ADR were used in scoring of PADROI. Charlson Comorbidity Index (CCI) calculated before the first incident of ADR was considered. Previous ADRs included any possible suspected ADR that occurred within one year preceding the current hospitalization. Kidney disease includes any structural or functional renal problem diagnosed by a doctor as confirmed by laboratory tests, diagnostic tools or biopsy. The weight of the risk associated with each independent predictor was obtained by rounding off the respective AORs to the nearest whole number. The sum of weights of the eight-risk factors of the PADROI model totaled 29. We also developed an alternative model by assigning points to each predictor using the adjusted β coefficients rounded off to one decimal and then by multiplying each score by 10 (Table 1).\nTable 1PADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021No.PredictorAOR of the Variable’s CategoryPoints Assigned According to AORβ-adjePoints Assigned According to β-adj1Age 60–75 years1.972.00.772Previous ADR in 1 year2.432.00.993aPIM4.565.01.5154bPolypharmacy3.293.01.2125cCCI ≥68.478.02.1216Heart failure2.833.01.0107dKidney disease1.952.00.778Hospital stay ≥11 days3.534.01.313Total-___/29-___/94Notes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal.\n\nPADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021\nNotes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal.", "The AUROC curve for the PADROI model that was developed using adjusted odds ratios was shown to be 0.896 (0.869–0.923; at 95% CI; p <0.001) for the derivational study. This AUC is classified as’ very good or 0.800–0.899.’ The ROC curve was positioned at the top left for sensitivity which revealed its high prediction ability for ADRs (Figure 1). A cut-off point for PADROI score of 11 and above showed an optimal ADR risk prediction ability with a balanced sensitivity and specificity. At this point PADROI showed a sensitivity of 79.3% (true positive) and specificity of 86.1% (true negative). The mean PADROI scores were observed to be 15.5±5.8 and 5.9±4.6 for patients with ADR and those without respectively.Figure 1ROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study.\nROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study.\nThe AUROC curve was 0.897 (0.870–0.924 at 95% CI; p <0.001) for the PADROI tool that was developed using the adjusted β coefficients. Thus, the ADR risk prediction ability of the two tools was shown to be the same. Because of its simplicity (total scores of 29 compared with 94) and a smoother AUROC curve, we selected PADROI tool that was developed from the adjusted odds ratios for our validation study (Figures 2 and 3).Figure 2ROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study.Figure 3The comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study.\nROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study.\nThe comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study.", " The Participant Characteristics For this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nThe gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nFor this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nThe gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.", "For this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nThe gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.", "Sixty-two patients experienced a total of 90 ADRs during the current hospital stay. Applying the Naranjo ADR causality scale, 68 (75.6%), 19 (21.1%), and 3 (3.3%) ADRs were rated as probable, possible, and definite ADRs, respectively. ADRs affecting the nervous (38, 42.2%), gastrointestinal (28, 31.1%), and cardiovascular systems (13, 14.5%) were the three most frequently experienced ADRs during the current hospitalization. Metronidazole (11/90), ceftriaxone (7/90), furosemide (6/90), tramadol (6/90) and morphine (6/90) were observed to be the five drugs most commonly suspected as the cause of the ADRs (Table 2).\nTable 2The Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021Category of ADRSpecific ADRsDrugs Suspected for the ADRsNervous system: 38 (42.2%)Dizziness (16), Drowsiness (15), Extrapyramidal reaction (2), Neuropathy (2), Headache (1), Lethargy (1), Metallic taste (1)Metronidazole (8), Ceftriaxone (4), Furosemide (4), Morphine (3), Metoclopramide (2), Haloperidol (2), Tramadol (2), Ondansetron (2), Tramadol and Metronidazole (2), Haloperidol and Carbamazepine (1), Levofloxacin (1), Meperidine (1), Phenytoin (1), Spironolactone (1), Isoniazid (1), Bicalutamide (1), Digoxin (1), Clonazepam (1)Gastrointestinal: 28 (31.1%)Constipation (9), Nausea (5), Nausea and vomiting (4), Abdominal pain (3), Diarrhea (3), Hiccups (1), Xerostomia (1), Gastritis (1), Mucositis (1)Ceftriaxone (3), Morphine (3), Capecitabine (2), Bisacodyl (2), Nifedipine (2), Docetaxel and Gemcitabine (2), Fluorouracil (2), Ondansetron (1), Amlodipine (1), Cisplatin (2), Codeine (1), Fentanyl (1), Furosemide (1), Metronidazole (1), Sevelamer (1), Tramadol (1), Vitamin C and Ferrous sulfate (1), Dexamethasone (1)Cardiovascular: 13 (14.5%)Tachycardia (4), Hypotension (3), Hypertension (3), Bradycardia (1), Fluid retention (1), Palpitation (1)Carbamazepine (2), Omeprazole (2), Sildenafil (1), Furosemide (1), Dexamethasone (1), Ciprofloxacin (1), Carvedilol (1), Trihexyphenidyl and Haloperidol (1), Vitamin K (1), Haloperidol and Fluoxetine (1), Imatinib (1)Endocrine & metabolic: 5 (5.6%)Hypoglycemia (4), Hyponatremia (1)Insulin (3), Metformin (1), Imatinib (1)Dermatologic: 2 (2.2%)Pruritus (2)Dexamethasone (1), Vancomycin (1)Eye/Otic: 2 (2.2%)Visual changes (1), Tinnitus (1)Tranexamic acid (1), Gentamycin and Tramadol (1)Hematologic and oncologic: 1 (1.1%)Anemia (1)Cisplatin and Fluorouracil (1)Renal: 1 (1.1%)Renal insufficiency (1)Cisplatin (1)\n\nThe Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021", "Ninety-three (75.0%) of the patients were 60–75 years old; out of which 48 (51.6%) experienced at least one ADR. Among 98 (79.0%) patients who stayed in the hospital for 11 and more days, 52 (53.1%) incurred ADR. Similarly, among the 53 (42.7%) patients who had experienced an ADR in the previous one year, 33 (62.3%) experienced ADR during the current admission. Twenty-six (21.0%) of them had been diagnosed with a renal disease, 21 (16.9%) patients had heart failure and 37 (29.8%) had a CCI≥6. Another 45 (36.3%) patients took at least one PIM and 76 (61.3%) of the patients were on polypharmacy; out of which 37 (82.2%) and 49 (64.5%) experienced ADR respectively (Table 3).\nTable 3The Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021VariablesCategoriesHospital Acquired ADRNoYesTotal (N = 124)Frequency (%)Frequency (%)Frequency (%)Age category60–7545 (48.4)48 (51.6)93 (75.0)>7517 (54.8)14 (45.2)31 (25.0)Hospital stay in days≤1016 (61.5)10 (38.5)26 (21.0)≥1146 (46.9)52 (53.1)98 (79.0)Previous ADR in 1 yearNo42 (59.2)29 (40.8)71 (57.3)Yes20 (37.7)33 (62.3)53 (42.7)Renal diseaseNo54 (55.1)44 (44.9)98 (79.0)Yes8 (30.8)18 (69.2)26 (21.0)Heart failureNo55 (53.4)48 (46.6)103 (83.1)Yes7 (33.3)14 (66.7)21 (16.9)CCI category≤560 (69.0)27 (31.0)87 (70.2)≥62 (5.4)35 (94.6)37 (29.8)PIMNo54 (68.4)25 (31.6)79 (63.7)Yes8 (17.8)37 (82.2)45 (36.3)PolypharmacyNo35 (72.9)13 (27.1)48 (38.7)Yes27 (35.5)49 (64.5)76 (61.3)\n\nThe Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021", "The ROC curve for this validation study is positioned at top-left side showing a good prediction ability of the tool for hospital-acquired ADRs in hospitalized older adults. The current AUROC, which is the average value of the sensitivity for a test over all possible values of specificity or vice versa,9 of 0.917 (0.864–0.971 at 95% CI; p <0.001) is categorized as excellent (AUC >0.900). Overall, the PADROI tool has correctly predicted 91.7% of those who experienced an ADR but falsely classified 8.3% of the patients to be at no risk of incurring an ADR (Figure 5). The mean PADROI scores for participants with ADR and without ADR was shown to be 15.4±5.3 and 5.9±3.6, respectively.Figure 5The ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\nThe ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.", "As the scores of the PADROI increased from 0 to 10, the AUROC increased from 0.516 to 0.887 and its sensitivity declined from 100% to 87.1% and the specificity increased from 3.2% to 90.3%. Beyond the PADROI scores of 10, however, the AUROC did not show increase and then began to decline as the sensitivity was declining. Thus, a cut-off point for PADROI scores of ≥10 points showed an optimal prediction ability where it correctly predicted 54 (PADROI ≥10) out of the 62 patients who actually experienced an ADR (sensitivity of 87.1%) whereas 56 (PADROI <10) out of the 62 patients without ADR were correctly classified as not at risk of ADR (specificity = 90.3%) (Table 4).\nTable 4The Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, UgandaPADROI ScoresHospital Acquired ADRAUCSensitivity (%)Specificity (%)No (N = 62)Yes (N = 62)Total (N = 124)Frequency (%)Frequency (%)Frequency (%)Greater or equal to 160 (49.2)62 (50.8)122 (98.4%)0.5161003.2Greater or equal to 540 (40.0)60 (60.0)100 (80.6)0.66196.835.5Greater or equal to 814 (19.7)57 (80.3)71 (57.3)0.84791.977.4Greater or equal to 106 (10.0)54 (90.0)60 (48.4)0.88787.190.3Greater or equal to 124 (7.1)52 (92.9)56 (45.2)0.88783.993.5Greater or equal to 152 (5.1)37 (94.9)39 (31.5)0.78259.796.8Greater or equal to 200 (0.0)15 (100.0)15 (12.1)0.62124.2100Greater or equal to 250 (0.0)1 (100.0)1 (0.8)0.5081.6100Total6262124***Notes: *Not applicable. Bold: Recommended cut-off point.\n\nThe Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, Uganda\nNotes: *Not applicable. Bold: Recommended cut-off point.", "The AUROC for the combined cohort was observed to be 0.900 (0.876–0.924 at 95% CI; p <0.001). It showed a sensitivity of 78.3% and a specificity of 89.4% at a cut-off PADROI point of 11 and above (Figure 6).Figure 6The ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\nThe ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.", "Identification of the predictors of ADR occurrence in hospitalized older patients is crucial to develop a strong ADR-risk prediction tool.20,21 A systematic review of previously reported risk factors and a subsequent prospective derivational study were conducted to determine the risk factors of hospital-acquired ADRs in older adults. In the current study, we developed an ADR-risk prediction tool for older inpatients using adjusted odds ratios in the final model of multivariable logistic regression, and an alternative tool using the adjusted β coefficients of the same model. The two potential ADR-prediction tools showed the same prediction ability; AUROC curves of 0.896 and 0.897, respectively. However, because of its simplicity (total scores out of 29 compared with out of 94) and a smoother AUROC curve, we selected the PADROI risk assessment tool that was developed from the adjusted odds ratios for our validation study.\nThe PADROI’s AUROC curve of 0.896 of the derivational cohort is classified as’ very good or 0.800–0.899.’ The ROC curve was positioned at the top left for sensitivity which revealed its high prediction ability for ADRs. The current AUC is considerably higher than those reported during previous derivational studies including 0.623 in Irish older adults,18 0.74 in UK older inpatients,10 0.71 in Italian older patients,17 and 0.627 in Japanese older patients.39\nWhile applying PADROI to the derivational cohort, a cut-off score of 11 and above out of 29 showed an optimal prediction ability for hospital-acquired ADRs in older adults. At this point, a sensitivity of 79.3% (true positive) and specificity of 86.1% (true negative) were observed. A cutoff point with a higher specificity compared with sensitivity (86.1% vs 79.3%) was preferred though falsely ruling out ADR risk has more deleterious effects on the patient. However, a sensitivity of about 80% is also quite adequate to minimize the number of cases falsely predicted to be at no risk. Higher specificity, in turn, enables to avoid unnecessary intensive monitoring for ADRs and needless avoidance of some medications though the ADR is not actually incurred. Unlike the previous similar ADR prediction studies that were shown to be unsuitable for a wide clinical use because of their AUROC values of less than 0.80,7 PADROI score showed a very good AUROC and was potentially applicable for wider clinical use. Thus, we carried out a separate validation cohort for external validation.\nIn the validation study, 62 patients experienced a total of 90 possible ADRs during the current hospital stay. ADRs affecting the nervous system (38/90), gastrointestinal (28/90) and cardiovascular (13/90) systems were the three most frequently experienced ADRs during the current hospitalization. The proportion of ADRs affecting the nervous system, however, is considerably higher than that of the derivational study. This can be explained by the inclusion of psychiatry wards in the validation cohort. On the other hand, these results are comparable with findings from previous studies that had shown ADRs affecting gastrointestinal tract,39–43 nervous system30,39,43 and cardiovascular system30,41 to be the commonest types in this population. Patients in psychiatry wards experienced more ADRs affecting the nervous system. Metronidazole (11/90), ceftriaxone (7/90), furosemide (6/90), tramadol (6/90) and morphine (6/90) were observed to be the five drugs most commonly suspected as the cause of the ADRs. These results are comparable with the derivational cohort and other previous studies that showed antimicrobials and drugs acting on the nervous system and cardiovascular drugs to be the most frequent culprit medications in hospital-acquired ADRs in older adults.40,43–47\nConsistent with previous studies, the proportion of hospital-acquired ADR was higher in patients aged 60–75 years compared with those older than 75;41,42,48,49 among those who were hospitalized for 11 and more days, in patients with a history of an ADR in the previous one year,17,50 in those with a renal disease,18,22,30 in patients with heart failure17,18,51 and those with a CCI ≥6,17,18,48 in older patients that took at least one PIM18,30 and those on polypharmacy10,22,45,50 compared with their controls.\nThe ROC curve for the current validation study is also positioned at the top-left side showing high prediction ability of the tool for hospital-acquired ADRs in hospitalized older adults. AUROC measures the probability that’ a patient with an ADR had a higher predicted probability than a patient without an ADR.’ An AUROC of 1 represents a perfect model whilst 0.5 is random concordance.10−12\nThe current AUROC of 0.917 (0.864–0.971 at 95% CI; p <0.001) is categorized as excellent (AUROC >0.900). AUROC is the average value of the sensitivity for a test over all possible values of specificity or vice versa.9 Overall, the PADROI tool has correctly predicted 91.7% of those who experienced an ADR but falsely classified 8.3% of the patients to be at no risk of incurring an ADR.\nSensitivity is the ability of a screening tool to correctly identify people who have a condition whereas specificity is its ability to correctly identify people who do not have the condition.13 During the validation cohort PADROI scores of 10 and above showed the best-balanced sensitivity and specificity where it correctly predicted 54 (PADROI ≥10) out of the 62 patients who actually experienced an ADR to be at risk (sensitivity of 87.1%) and 56 (PADROI <10) out of the 62 patients without ADR were correctly classified to be at no risk of ADR (specificity = 90.3%). Thus only 12.9% and 9.7% of the patients were wrongly classified to be at no risk of an ADR and at a risk of ADR respectively. The current sensitivity and specificity of 87.1% and 90.3% are considerably higher than sensitivities and specificities of 80% and 55% in BADRI model from a UK study,10 68% and 65% in GerontoNet ADR Risk Score from an Italian cohort.17\nThe AUROC of the PADROI’s validation study is significantly higher than 0.592 from an Irish validation cohort,18 0.61 from a multi-centered observational study in Europe,52 0.623 in Ireland,30 0.70 in an Italian study,17 and 0.73 from another validation study of European patients.10 Our combined cohort, similarly, showed an excellent AUROC of 0.900 (0.876–0.924 at 95% CI; p <0.001) and a sensitivity of 78.3% and a specificity of 89.4% at a cut-off PADROI score of 11/29 and above. This is significantly higher compared with an AUROC of 0.566 reported by the combined cohort from an Irish study that applied the GerontoNet ADR risk scale to its combined cohorts.18\nThe possible explanations for the current higher AUROC include: higher number of variables studied in derivational cohort and thus more comprehensive final model as compared with the previous studies that consisted of 4–6 variables10,17,30 and the use of two separate prospective cohorts for derivational and validation studies as compared with ADRROP18 and GerontoNet17 models which were retrospectively developed from patient databases. Moreover, the lower AUROC curve from previous studies might be attributed to their inclusion of other study settings or different countries10,17,30 during the validation study unlike the PADROI model that was developed and validated in the same setting. Moreover, our study included all possible, probable and definite ADRs unlike O’Mahony et al. that excluded possible ADRs.30 This might explain the lower sensitivity (62%) reported by the latter.\nThe current validation study’s strengths include its power of 90%, consistency in ADR definition, ADR identification procedures, employing validated standard data collection tools, and engaging a multidisciplinary team consisting of doctors and pharmacists in an attempt to improve the accuracy of ADR identification and characterization. However, the study has some important limitations to be taken into consideration including: the model being driven from a single-centered study in a low income setting, external validation involving a single health facility that was the same as one involved in the derivational study and a short study period of the validation cohort. Accordingly, the types of medications used, the common medical conditions, and the health professional and health facility factors might differ from the conditions in other health facilities in the region and elsewhere. This might potentially limit its application in wider clinical uses and thus, we recommend larger and multi-centered cohorts of older adults to be undertaken applying this greatly promising model in low- and middle-income countries as well as high-income countries.", "A prospective derivational study was conducted to develop an ADR-risk prediction tool named as PADROI among older inpatients. The PADROI model achieved a very good AUROC in derivational cohort, and excellent AUROC curve in validation cohort as well as in combined cohort. The PADROI model demonstrated a specificity of 90.3% and a sensitivity of 87.1%. The current AUROC curve, sensitivity and specificity were all considerably higher than those achieved by previous studies. We recommend a multi-centered validation study to evaluate the performance and impact the PADROI tool in clinical practice." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Introduction", "Methods", "Development and Scoring of the PADROI Model", "Validation Study", "Study Setting and Period", "Study Design", "Study Population", "Sample Size Determination", "Sampling Techniques", "Data Collection", "Identification of ADRs", "Data Analysis and Interpretation", "Data Management and Quality Assurance", "Ethical Considerations", "Results", "Development and Scoring of the PADROI Risk Assessment Tool", "ROC Curve for the Derivational Study", "Validation Study", "The Participant Characteristics", "ADR Occurrence and the Implicated Drugs", "The Distribution of ADRs Among Patients with Different Risk Factors", "Receiver Operating Characteristic (ROC) Curve of the Validation Cohort", "Sensitivity and Specificity of the ROC at Different Cut-off Values for PADROI", "Receiver Operating Characteristic (ROC) Curve of the Combined Cohort", "Discussion", "Conclusion" ]
[ "The occurrence of adverse drug reactions (ADRs) continues to substantially contribute to the morbidity, mortality and high health care cost in the older population.1–4 The prevalence of ADRs among hospitalized older adults ranged from 6–46% in high income countries (HICs) and from 10.7–64.0% in low- and middle-income countries (LMICs). The majority (60%) of all ADRs in this patient population are potentially preventable.5\nCurrent recommended practice for detecting and predicting ADRs in the elderly comprises thorough documentation and consistent evaluation of prescribed and over-the-counter medications through standardized medication reconciliation.6 ADR detection and prediction methods in hospitalized older adults remain imprecise. Focusing on high-risk medications and patients with multi-morbidity may advance prediction of adverse drug reaction.7\nObtaining a good ADR risk-prediction model usually occurs over four stages; first, identification of predictors of the phenomenon; second, validation that involves testing the potential model performance; third, evaluation of impact and usefulness in routine clinical practice; and lastly, implementation to assess acceptability and performance in real-life clinical practice.8\nArea Under the Receiver Operating Characteristic Curves (AUROC) is the average value of the sensitivity for a test over all possible values of specificity or vice versa.9 In screening tests, sensitivity, the true positive rate, refers to the proportion of people that are correctly predicted to have a condition out of all people who actually have it. A sensitivity of 100% means the ability to correctly predict all people with the condition. Specificity, the true negative rate, refers to the proportion of those who were correctly predicted not to have a condition among those that actually do not experience it.10−13 Prediction models are categorized based on their AUROC curve values as: “excellent” (AUROC curve ≥0.900), “very good” (AUROC curve 0.80–0.89), “acceptable” (AUROC curve 0.70–0.79) and ”poor” (AUROC curve <0.7).14–16\nPreviously developed ADR risk-prediction models in older inpatients had achieved AUROC of 0.7017 to 0.7410 during their validation stages and all of them showed low specificity (<65%) and some of them used retrospective studies to develop their models.17,18 The existing models need further work to enable the development of a robust ADR risk-prediction model that is externally validated, with practical design and good performance.19 However, to the best of our knowledge, there is no study published on the validation of an ADR risk-prediction model for older inpatients in LMICs.\nThese ADR-risk prediction tools help health professionals to accurately predict patients that are going to incur an ADR during their hospital stay, thus, highlighting the need for close monitoring, avoidance of some medications or combination of drugs and to implement other relevant interventions and, ultimately, to mitigate the burden of ADRs in clinical as well as economic aspects.20,21 This study, thus, aimed at developing and validating ‘Prediction of ADR in Older Inpatients’ (PADROI), an ADR-risk prediction tool, by employing two separate prospective cohort studies in older adults in Uganda, a low income country.", " Development and Scoring of the PADROI Model The authors had previously conducted a systematic review on risk factors of ADRs among hospitalized older adults. It identified 15 independent risk factors reported by previous studies. The details of the systematic review were published elsewhere.5 Then we included the 15 previously reported risk factors and four more relevant independent variables, as independent variables in our derivational study conducted at MRRH from November 9, 2020 to May 7, 2021. This study, particularly, aimed at determining the risk factors of hospital-acquired ADRs in this group of patients. Details of the results were published elsewhere.22 In the current validation study, we aimed at developing a potential ADR-risk assessment tool from the data set of the derivational study, and then to validate it in a separate follow-on prospective observational study. The data on the 19 independent variables were extracted and were assessed for assumptions of logistic regressionand subjected to multivariable logistic regression. We first verified that there was no significant multicollinearity between any of the 13 independent variables. Moreover, both forward and backward conditional logistic regression similarly showed 8 out of the 13 independent variables to be significantly associated with the occurrence of hospital-acquired ADRs. Eight independent variables that were statistically significant and were retained in the final model included: age 60–75 (AOR = 1.97, 95% CI: 1.14–3.41; p = 0.015) compared with >75 years, previous ADR in 1 year (AOR = 2.43, 95% CI: 1.42–4.17; p = 0.001), PIM (AOR = 4.56, 95% CI: 2.70–7.70; p <0.001), polypharmacy (AOR = 3.29, 95% CI: 1.98–5.46; p <0.001), having CCI ≥6 (AOR = 8.47, 95% CI: 4.85–14.99; p <0.001), having heart failure (AOR = 2.83, 95% CI: 1.34–6.02; p = 0.007) or kidney disease (AOR = 1.95, 95% CI: 1.05–3.61; p = 0.034) and a hospital stay >10 days (AOR = 3.53, 95% CI: 1.89–6.61; p <0.001) compared with <5 days.\nThe authors had previously conducted a systematic review on risk factors of ADRs among hospitalized older adults. It identified 15 independent risk factors reported by previous studies. The details of the systematic review were published elsewhere.5 Then we included the 15 previously reported risk factors and four more relevant independent variables, as independent variables in our derivational study conducted at MRRH from November 9, 2020 to May 7, 2021. This study, particularly, aimed at determining the risk factors of hospital-acquired ADRs in this group of patients. Details of the results were published elsewhere.22 In the current validation study, we aimed at developing a potential ADR-risk assessment tool from the data set of the derivational study, and then to validate it in a separate follow-on prospective observational study. The data on the 19 independent variables were extracted and were assessed for assumptions of logistic regressionand subjected to multivariable logistic regression. We first verified that there was no significant multicollinearity between any of the 13 independent variables. Moreover, both forward and backward conditional logistic regression similarly showed 8 out of the 13 independent variables to be significantly associated with the occurrence of hospital-acquired ADRs. Eight independent variables that were statistically significant and were retained in the final model included: age 60–75 (AOR = 1.97, 95% CI: 1.14–3.41; p = 0.015) compared with >75 years, previous ADR in 1 year (AOR = 2.43, 95% CI: 1.42–4.17; p = 0.001), PIM (AOR = 4.56, 95% CI: 2.70–7.70; p <0.001), polypharmacy (AOR = 3.29, 95% CI: 1.98–5.46; p <0.001), having CCI ≥6 (AOR = 8.47, 95% CI: 4.85–14.99; p <0.001), having heart failure (AOR = 2.83, 95% CI: 1.34–6.02; p = 0.007) or kidney disease (AOR = 1.95, 95% CI: 1.05–3.61; p = 0.034) and a hospital stay >10 days (AOR = 3.53, 95% CI: 1.89–6.61; p <0.001) compared with <5 days.\n Validation Study Study Setting and Period This validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021.\nThis validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021.\n Study Setting and Period This validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021.\nThis validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021.\n Study Design A prospective cohort study was conducted to determine the prediction ability of the PADROI ADR prediction tool.\nA prospective cohort study was conducted to determine the prediction ability of the PADROI ADR prediction tool.\n Study Population We included all inpatients 60 years and older who were admitted to Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of MRRH during the study period and gave their informed consent. We excluded patients in coma or any level of unconsciousness as well as unstable psychiatric patients with mood disorders, schizophrenia and dementia who were on acute treatment. We also excluded patients who died or were discharged in less than 48 hours.\nWe included all inpatients 60 years and older who were admitted to Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of MRRH during the study period and gave their informed consent. We excluded patients in coma or any level of unconsciousness as well as unstable psychiatric patients with mood disorders, schizophrenia and dementia who were on acute treatment. We also excluded patients who died or were discharged in less than 48 hours.\n Sample Size Determination The sample size for this validation study was calculated using MedCalc® Software Version 19.2 (©1993–2020), that employed the standard formula for sample size determination for ROC studies.23 Taking a power of 90% and Type I error of 0.01, null hypothesis AUROC (the best available AUROC in older inpatients) of 0.74,10 and a target AUROC of 0.896 obtained from derivational cohort of the current project,22 48 positive cases (patients with ADR) and 48 negative cases (patients without ADR) are required for this ROC study. By adding 25% for potential drop-outs, 60 positive cases and 60 negative cases, totaling 120 patients, who are 60 years and older were required.\nThe sample size for this validation study was calculated using MedCalc® Software Version 19.2 (©1993–2020), that employed the standard formula for sample size determination for ROC studies.23 Taking a power of 90% and Type I error of 0.01, null hypothesis AUROC (the best available AUROC in older inpatients) of 0.74,10 and a target AUROC of 0.896 obtained from derivational cohort of the current project,22 48 positive cases (patients with ADR) and 48 negative cases (patients without ADR) are required for this ROC study. By adding 25% for potential drop-outs, 60 positive cases and 60 negative cases, totaling 120 patients, who are 60 years and older were required.\n Sampling Techniques We employed a consecutive sampling technique involving all adults 60 years and older admitted at Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards. Accordingly, all older patients who passed the inclusion and exclusion criteria were consecutively recruited until the target sample was achieved for both the cases and controls.\nWe employed a consecutive sampling technique involving all adults 60 years and older admitted at Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards. Accordingly, all older patients who passed the inclusion and exclusion criteria were consecutively recruited until the target sample was achieved for both the cases and controls.\n Data Collection Three research assistants were involved in the data collection process. The principal investigator (senior clinical pharmacist) together with two physicians formed a team of experts. Firstly, an interviewer-based structured questionnaire was used to collect the data on participants’ characteristics, history of medical, surgical, gynecological and psychiatric conditions and previous drug uses, drug allergies, use of non-prescription and alternative medicines. Secondly, we reviewed patients’ medical files for diagnosis, comorbid conditions, previous adverse drug events, and diagnostic test results as soon as possible but within 48 hours. Thirdly, every day during their hospital stay except on Sundays, we updated the participants’ information after we interviewed them, conducted targeted physical assessments, and reviewed their medical files.\nFourthly, we used the British National Formulary (BNP)24 and UpToDate25 to identify the known ADR profile of the drugs used. We employed the Beers Criteria26 to identify PIMs. Polypharmacy was defined as concurrent use of five or more drugs (active pharmaceutical ingredients).18,27–31 Lexicomp® was used to detect clinically significant drug-drug interactions. The medications suspected for ADRs were classified according to the WHO-Anatomical Therapeutic Chemical (ATC) classification.32 Charlson Comorbidity Index was used to rate the complexity and prognosis of the participants’ conditions.33\nAll adverse events suspected by the principal investigator and the physician were considered for ADR causality rating and discussion by the team. The body systems affected by ADRs were categorized using the International Statistical Classification of Diseases for Mortality and Morbidity Statistics (ICD-11 MMS).34\nThree research assistants were involved in the data collection process. The principal investigator (senior clinical pharmacist) together with two physicians formed a team of experts. Firstly, an interviewer-based structured questionnaire was used to collect the data on participants’ characteristics, history of medical, surgical, gynecological and psychiatric conditions and previous drug uses, drug allergies, use of non-prescription and alternative medicines. Secondly, we reviewed patients’ medical files for diagnosis, comorbid conditions, previous adverse drug events, and diagnostic test results as soon as possible but within 48 hours. Thirdly, every day during their hospital stay except on Sundays, we updated the participants’ information after we interviewed them, conducted targeted physical assessments, and reviewed their medical files.\nFourthly, we used the British National Formulary (BNP)24 and UpToDate25 to identify the known ADR profile of the drugs used. We employed the Beers Criteria26 to identify PIMs. Polypharmacy was defined as concurrent use of five or more drugs (active pharmaceutical ingredients).18,27–31 Lexicomp® was used to detect clinically significant drug-drug interactions. The medications suspected for ADRs were classified according to the WHO-Anatomical Therapeutic Chemical (ATC) classification.32 Charlson Comorbidity Index was used to rate the complexity and prognosis of the participants’ conditions.33\nAll adverse events suspected by the principal investigator and the physician were considered for ADR causality rating and discussion by the team. The body systems affected by ADRs were categorized using the International Statistical Classification of Diseases for Mortality and Morbidity Statistics (ICD-11 MMS).34\n Identification of ADRs We used Edwards and Aronson’s definition of ADR: ‘an appreciably harmful or unpleasant reaction, resulting from an intervention related to the use of a medicinal product, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the product.’35 ADRs were first suspected when there was a relationship between the time of drug administration and the onset and course of the adverse reaction while excluding other potential causes.36 Every day except on Sundays, all ADRs suspected by the principal investigator were discussed with the team of experts consisting of the principal investigator (senior clinical pharmacist) and two senior physicians to establish the drug causality of the suspected ADRs. The principal investigator then used the Naranjo ADR assessment scale37 to rate the causal relationship of an ADR and the suspected medication. ADRs were classified as definite (9–12 points), probable (5–8 points), possible (1–4 points), or doubtful (0 points). We excluded all doubtful ADRs whereas we endorsed those rated as possible, probable or definite as’ possible ADR’s once consensus was reached by the team of experts. When consensus was not reached, a majority decision of the three members of the team was applied.\nWe used Edwards and Aronson’s definition of ADR: ‘an appreciably harmful or unpleasant reaction, resulting from an intervention related to the use of a medicinal product, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the product.’35 ADRs were first suspected when there was a relationship between the time of drug administration and the onset and course of the adverse reaction while excluding other potential causes.36 Every day except on Sundays, all ADRs suspected by the principal investigator were discussed with the team of experts consisting of the principal investigator (senior clinical pharmacist) and two senior physicians to establish the drug causality of the suspected ADRs. The principal investigator then used the Naranjo ADR assessment scale37 to rate the causal relationship of an ADR and the suspected medication. ADRs were classified as definite (9–12 points), probable (5–8 points), possible (1–4 points), or doubtful (0 points). We excluded all doubtful ADRs whereas we endorsed those rated as possible, probable or definite as’ possible ADR’s once consensus was reached by the team of experts. When consensus was not reached, a majority decision of the three members of the team was applied.\n Data Analysis and Interpretation The data were entered and cleaned by EpiInfo version 7.2.3.1 and then transferred to and analyzed by IBM Statistical Package for the Social Sciences (SPSS version 23.0 Inc., Chicago, Illinois). Descriptive statistics was used to determine the frequencies and percentages of the ADR occurrences and categories, drugs associated with the ADRs, and distribution of the predictors among patients with at least one hospital-acquired ADR and those without one.\nFor both the derivational and validation studies, we determined the predictive ability of the PADROI model by fitting Receiver Operating Characteristic curves and calculating the area under the curve and sensitivities and specificities at different cut-off points using ROC analysis using SPSS. A p value of <0.05 was considered statistically significant in all analyses.\nThe data were entered and cleaned by EpiInfo version 7.2.3.1 and then transferred to and analyzed by IBM Statistical Package for the Social Sciences (SPSS version 23.0 Inc., Chicago, Illinois). Descriptive statistics was used to determine the frequencies and percentages of the ADR occurrences and categories, drugs associated with the ADRs, and distribution of the predictors among patients with at least one hospital-acquired ADR and those without one.\nFor both the derivational and validation studies, we determined the predictive ability of the PADROI model by fitting Receiver Operating Characteristic curves and calculating the area under the curve and sensitivities and specificities at different cut-off points using ROC analysis using SPSS. A p value of <0.05 was considered statistically significant in all analyses.\n Data Management and Quality Assurance The research assistants were trained by the principal investigator. Then a pre-test was conducted involving two patients at each ward. Data collection procedure was revised based on the experiences from the pilot test. The collected data were checked daily for completeness and consistency by the principal investigator. Confirmation and causality rating of ADRs were discussed among the team of experts to reach a consensus. Data were double-entered, cross-checked, and password-protected.\nThe research assistants were trained by the principal investigator. Then a pre-test was conducted involving two patients at each ward. Data collection procedure was revised based on the experiences from the pilot test. The collected data were checked daily for completeness and consistency by the principal investigator. Confirmation and causality rating of ADRs were discussed among the team of experts to reach a consensus. Data were double-entered, cross-checked, and password-protected.\n Ethical Considerations This study was conducted according to the Declaration of Helsinki.38 The current study was approved by Institutional Review Board of Mbarara University of Science and Technology (Reference No. MUREC 1/7) and Uganda National Council for Science and Technology (Reference No. HS992ES).\nThis study was conducted according to the Declaration of Helsinki.38 The current study was approved by Institutional Review Board of Mbarara University of Science and Technology (Reference No. MUREC 1/7) and Uganda National Council for Science and Technology (Reference No. HS992ES).", "The authors had previously conducted a systematic review on risk factors of ADRs among hospitalized older adults. It identified 15 independent risk factors reported by previous studies. The details of the systematic review were published elsewhere.5 Then we included the 15 previously reported risk factors and four more relevant independent variables, as independent variables in our derivational study conducted at MRRH from November 9, 2020 to May 7, 2021. This study, particularly, aimed at determining the risk factors of hospital-acquired ADRs in this group of patients. Details of the results were published elsewhere.22 In the current validation study, we aimed at developing a potential ADR-risk assessment tool from the data set of the derivational study, and then to validate it in a separate follow-on prospective observational study. The data on the 19 independent variables were extracted and were assessed for assumptions of logistic regressionand subjected to multivariable logistic regression. We first verified that there was no significant multicollinearity between any of the 13 independent variables. Moreover, both forward and backward conditional logistic regression similarly showed 8 out of the 13 independent variables to be significantly associated with the occurrence of hospital-acquired ADRs. Eight independent variables that were statistically significant and were retained in the final model included: age 60–75 (AOR = 1.97, 95% CI: 1.14–3.41; p = 0.015) compared with >75 years, previous ADR in 1 year (AOR = 2.43, 95% CI: 1.42–4.17; p = 0.001), PIM (AOR = 4.56, 95% CI: 2.70–7.70; p <0.001), polypharmacy (AOR = 3.29, 95% CI: 1.98–5.46; p <0.001), having CCI ≥6 (AOR = 8.47, 95% CI: 4.85–14.99; p <0.001), having heart failure (AOR = 2.83, 95% CI: 1.34–6.02; p = 0.007) or kidney disease (AOR = 1.95, 95% CI: 1.05–3.61; p = 0.034) and a hospital stay >10 days (AOR = 3.53, 95% CI: 1.89–6.61; p <0.001) compared with <5 days.", " Study Setting and Period This validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021.\nThis validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021.", "This validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021.", "A prospective cohort study was conducted to determine the prediction ability of the PADROI ADR prediction tool.", "We included all inpatients 60 years and older who were admitted to Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of MRRH during the study period and gave their informed consent. We excluded patients in coma or any level of unconsciousness as well as unstable psychiatric patients with mood disorders, schizophrenia and dementia who were on acute treatment. We also excluded patients who died or were discharged in less than 48 hours.", "The sample size for this validation study was calculated using MedCalc® Software Version 19.2 (©1993–2020), that employed the standard formula for sample size determination for ROC studies.23 Taking a power of 90% and Type I error of 0.01, null hypothesis AUROC (the best available AUROC in older inpatients) of 0.74,10 and a target AUROC of 0.896 obtained from derivational cohort of the current project,22 48 positive cases (patients with ADR) and 48 negative cases (patients without ADR) are required for this ROC study. By adding 25% for potential drop-outs, 60 positive cases and 60 negative cases, totaling 120 patients, who are 60 years and older were required.", "We employed a consecutive sampling technique involving all adults 60 years and older admitted at Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards. Accordingly, all older patients who passed the inclusion and exclusion criteria were consecutively recruited until the target sample was achieved for both the cases and controls.", "Three research assistants were involved in the data collection process. The principal investigator (senior clinical pharmacist) together with two physicians formed a team of experts. Firstly, an interviewer-based structured questionnaire was used to collect the data on participants’ characteristics, history of medical, surgical, gynecological and psychiatric conditions and previous drug uses, drug allergies, use of non-prescription and alternative medicines. Secondly, we reviewed patients’ medical files for diagnosis, comorbid conditions, previous adverse drug events, and diagnostic test results as soon as possible but within 48 hours. Thirdly, every day during their hospital stay except on Sundays, we updated the participants’ information after we interviewed them, conducted targeted physical assessments, and reviewed their medical files.\nFourthly, we used the British National Formulary (BNP)24 and UpToDate25 to identify the known ADR profile of the drugs used. We employed the Beers Criteria26 to identify PIMs. Polypharmacy was defined as concurrent use of five or more drugs (active pharmaceutical ingredients).18,27–31 Lexicomp® was used to detect clinically significant drug-drug interactions. The medications suspected for ADRs were classified according to the WHO-Anatomical Therapeutic Chemical (ATC) classification.32 Charlson Comorbidity Index was used to rate the complexity and prognosis of the participants’ conditions.33\nAll adverse events suspected by the principal investigator and the physician were considered for ADR causality rating and discussion by the team. The body systems affected by ADRs were categorized using the International Statistical Classification of Diseases for Mortality and Morbidity Statistics (ICD-11 MMS).34", "We used Edwards and Aronson’s definition of ADR: ‘an appreciably harmful or unpleasant reaction, resulting from an intervention related to the use of a medicinal product, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the product.’35 ADRs were first suspected when there was a relationship between the time of drug administration and the onset and course of the adverse reaction while excluding other potential causes.36 Every day except on Sundays, all ADRs suspected by the principal investigator were discussed with the team of experts consisting of the principal investigator (senior clinical pharmacist) and two senior physicians to establish the drug causality of the suspected ADRs. The principal investigator then used the Naranjo ADR assessment scale37 to rate the causal relationship of an ADR and the suspected medication. ADRs were classified as definite (9–12 points), probable (5–8 points), possible (1–4 points), or doubtful (0 points). We excluded all doubtful ADRs whereas we endorsed those rated as possible, probable or definite as’ possible ADR’s once consensus was reached by the team of experts. When consensus was not reached, a majority decision of the three members of the team was applied.", "The data were entered and cleaned by EpiInfo version 7.2.3.1 and then transferred to and analyzed by IBM Statistical Package for the Social Sciences (SPSS version 23.0 Inc., Chicago, Illinois). Descriptive statistics was used to determine the frequencies and percentages of the ADR occurrences and categories, drugs associated with the ADRs, and distribution of the predictors among patients with at least one hospital-acquired ADR and those without one.\nFor both the derivational and validation studies, we determined the predictive ability of the PADROI model by fitting Receiver Operating Characteristic curves and calculating the area under the curve and sensitivities and specificities at different cut-off points using ROC analysis using SPSS. A p value of <0.05 was considered statistically significant in all analyses.", "The research assistants were trained by the principal investigator. Then a pre-test was conducted involving two patients at each ward. Data collection procedure was revised based on the experiences from the pilot test. The collected data were checked daily for completeness and consistency by the principal investigator. Confirmation and causality rating of ADRs were discussed among the team of experts to reach a consensus. Data were double-entered, cross-checked, and password-protected.", "This study was conducted according to the Declaration of Helsinki.38 The current study was approved by Institutional Review Board of Mbarara University of Science and Technology (Reference No. MUREC 1/7) and Uganda National Council for Science and Technology (Reference No. HS992ES).", " Development and Scoring of the PADROI Risk Assessment Tool A score was assigned to each of the 8 included predictors by rounding off the respective Adjusted Odds Ratios (AORs) to the nearest whole number. The score for hospital stay was considered only when patients were hospitalized for 11 or more days. For patients who experienced an ADR, the hospital stay referred to the number of days before the first ADR occurred instead of the total duration of hospital stay. Likewise, only polypharmacy and PIM incidents that were experienced before the occurrence of an ADR were used in scoring of PADROI. Charlson Comorbidity Index (CCI) calculated before the first incident of ADR was considered. Previous ADRs included any possible suspected ADR that occurred within one year preceding the current hospitalization. Kidney disease includes any structural or functional renal problem diagnosed by a doctor as confirmed by laboratory tests, diagnostic tools or biopsy. The weight of the risk associated with each independent predictor was obtained by rounding off the respective AORs to the nearest whole number. The sum of weights of the eight-risk factors of the PADROI model totaled 29. We also developed an alternative model by assigning points to each predictor using the adjusted β coefficients rounded off to one decimal and then by multiplying each score by 10 (Table 1).\nTable 1PADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021No.PredictorAOR of the Variable’s CategoryPoints Assigned According to AORβ-adjePoints Assigned According to β-adj1Age 60–75 years1.972.00.772Previous ADR in 1 year2.432.00.993aPIM4.565.01.5154bPolypharmacy3.293.01.2125cCCI ≥68.478.02.1216Heart failure2.833.01.0107dKidney disease1.952.00.778Hospital stay ≥11 days3.534.01.313Total-___/29-___/94Notes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal.\n\nPADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021\nNotes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal.\nA score was assigned to each of the 8 included predictors by rounding off the respective Adjusted Odds Ratios (AORs) to the nearest whole number. The score for hospital stay was considered only when patients were hospitalized for 11 or more days. For patients who experienced an ADR, the hospital stay referred to the number of days before the first ADR occurred instead of the total duration of hospital stay. Likewise, only polypharmacy and PIM incidents that were experienced before the occurrence of an ADR were used in scoring of PADROI. Charlson Comorbidity Index (CCI) calculated before the first incident of ADR was considered. Previous ADRs included any possible suspected ADR that occurred within one year preceding the current hospitalization. Kidney disease includes any structural or functional renal problem diagnosed by a doctor as confirmed by laboratory tests, diagnostic tools or biopsy. The weight of the risk associated with each independent predictor was obtained by rounding off the respective AORs to the nearest whole number. The sum of weights of the eight-risk factors of the PADROI model totaled 29. We also developed an alternative model by assigning points to each predictor using the adjusted β coefficients rounded off to one decimal and then by multiplying each score by 10 (Table 1).\nTable 1PADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021No.PredictorAOR of the Variable’s CategoryPoints Assigned According to AORβ-adjePoints Assigned According to β-adj1Age 60–75 years1.972.00.772Previous ADR in 1 year2.432.00.993aPIM4.565.01.5154bPolypharmacy3.293.01.2125cCCI ≥68.478.02.1216Heart failure2.833.01.0107dKidney disease1.952.00.778Hospital stay ≥11 days3.534.01.313Total-___/29-___/94Notes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal.\n\nPADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021\nNotes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal.\n ROC Curve for the Derivational Study The AUROC curve for the PADROI model that was developed using adjusted odds ratios was shown to be 0.896 (0.869–0.923; at 95% CI; p <0.001) for the derivational study. This AUC is classified as’ very good or 0.800–0.899.’ The ROC curve was positioned at the top left for sensitivity which revealed its high prediction ability for ADRs (Figure 1). A cut-off point for PADROI score of 11 and above showed an optimal ADR risk prediction ability with a balanced sensitivity and specificity. At this point PADROI showed a sensitivity of 79.3% (true positive) and specificity of 86.1% (true negative). The mean PADROI scores were observed to be 15.5±5.8 and 5.9±4.6 for patients with ADR and those without respectively.Figure 1ROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study.\nROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study.\nThe AUROC curve was 0.897 (0.870–0.924 at 95% CI; p <0.001) for the PADROI tool that was developed using the adjusted β coefficients. Thus, the ADR risk prediction ability of the two tools was shown to be the same. Because of its simplicity (total scores of 29 compared with 94) and a smoother AUROC curve, we selected PADROI tool that was developed from the adjusted odds ratios for our validation study (Figures 2 and 3).Figure 2ROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study.Figure 3The comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study.\nROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study.\nThe comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study.\nThe AUROC curve for the PADROI model that was developed using adjusted odds ratios was shown to be 0.896 (0.869–0.923; at 95% CI; p <0.001) for the derivational study. This AUC is classified as’ very good or 0.800–0.899.’ The ROC curve was positioned at the top left for sensitivity which revealed its high prediction ability for ADRs (Figure 1). A cut-off point for PADROI score of 11 and above showed an optimal ADR risk prediction ability with a balanced sensitivity and specificity. At this point PADROI showed a sensitivity of 79.3% (true positive) and specificity of 86.1% (true negative). The mean PADROI scores were observed to be 15.5±5.8 and 5.9±4.6 for patients with ADR and those without respectively.Figure 1ROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study.\nROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study.\nThe AUROC curve was 0.897 (0.870–0.924 at 95% CI; p <0.001) for the PADROI tool that was developed using the adjusted β coefficients. Thus, the ADR risk prediction ability of the two tools was shown to be the same. Because of its simplicity (total scores of 29 compared with 94) and a smoother AUROC curve, we selected PADROI tool that was developed from the adjusted odds ratios for our validation study (Figures 2 and 3).Figure 2ROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study.Figure 3The comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study.\nROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study.\nThe comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study.\n Validation Study The Participant Characteristics For this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nThe gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nFor this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nThe gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\n The Participant Characteristics For this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nThe gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nFor this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nThe gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\n ADR Occurrence and the Implicated Drugs Sixty-two patients experienced a total of 90 ADRs during the current hospital stay. Applying the Naranjo ADR causality scale, 68 (75.6%), 19 (21.1%), and 3 (3.3%) ADRs were rated as probable, possible, and definite ADRs, respectively. ADRs affecting the nervous (38, 42.2%), gastrointestinal (28, 31.1%), and cardiovascular systems (13, 14.5%) were the three most frequently experienced ADRs during the current hospitalization. Metronidazole (11/90), ceftriaxone (7/90), furosemide (6/90), tramadol (6/90) and morphine (6/90) were observed to be the five drugs most commonly suspected as the cause of the ADRs (Table 2).\nTable 2The Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021Category of ADRSpecific ADRsDrugs Suspected for the ADRsNervous system: 38 (42.2%)Dizziness (16), Drowsiness (15), Extrapyramidal reaction (2), Neuropathy (2), Headache (1), Lethargy (1), Metallic taste (1)Metronidazole (8), Ceftriaxone (4), Furosemide (4), Morphine (3), Metoclopramide (2), Haloperidol (2), Tramadol (2), Ondansetron (2), Tramadol and Metronidazole (2), Haloperidol and Carbamazepine (1), Levofloxacin (1), Meperidine (1), Phenytoin (1), Spironolactone (1), Isoniazid (1), Bicalutamide (1), Digoxin (1), Clonazepam (1)Gastrointestinal: 28 (31.1%)Constipation (9), Nausea (5), Nausea and vomiting (4), Abdominal pain (3), Diarrhea (3), Hiccups (1), Xerostomia (1), Gastritis (1), Mucositis (1)Ceftriaxone (3), Morphine (3), Capecitabine (2), Bisacodyl (2), Nifedipine (2), Docetaxel and Gemcitabine (2), Fluorouracil (2), Ondansetron (1), Amlodipine (1), Cisplatin (2), Codeine (1), Fentanyl (1), Furosemide (1), Metronidazole (1), Sevelamer (1), Tramadol (1), Vitamin C and Ferrous sulfate (1), Dexamethasone (1)Cardiovascular: 13 (14.5%)Tachycardia (4), Hypotension (3), Hypertension (3), Bradycardia (1), Fluid retention (1), Palpitation (1)Carbamazepine (2), Omeprazole (2), Sildenafil (1), Furosemide (1), Dexamethasone (1), Ciprofloxacin (1), Carvedilol (1), Trihexyphenidyl and Haloperidol (1), Vitamin K (1), Haloperidol and Fluoxetine (1), Imatinib (1)Endocrine & metabolic: 5 (5.6%)Hypoglycemia (4), Hyponatremia (1)Insulin (3), Metformin (1), Imatinib (1)Dermatologic: 2 (2.2%)Pruritus (2)Dexamethasone (1), Vancomycin (1)Eye/Otic: 2 (2.2%)Visual changes (1), Tinnitus (1)Tranexamic acid (1), Gentamycin and Tramadol (1)Hematologic and oncologic: 1 (1.1%)Anemia (1)Cisplatin and Fluorouracil (1)Renal: 1 (1.1%)Renal insufficiency (1)Cisplatin (1)\n\nThe Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021\nSixty-two patients experienced a total of 90 ADRs during the current hospital stay. Applying the Naranjo ADR causality scale, 68 (75.6%), 19 (21.1%), and 3 (3.3%) ADRs were rated as probable, possible, and definite ADRs, respectively. ADRs affecting the nervous (38, 42.2%), gastrointestinal (28, 31.1%), and cardiovascular systems (13, 14.5%) were the three most frequently experienced ADRs during the current hospitalization. Metronidazole (11/90), ceftriaxone (7/90), furosemide (6/90), tramadol (6/90) and morphine (6/90) were observed to be the five drugs most commonly suspected as the cause of the ADRs (Table 2).\nTable 2The Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021Category of ADRSpecific ADRsDrugs Suspected for the ADRsNervous system: 38 (42.2%)Dizziness (16), Drowsiness (15), Extrapyramidal reaction (2), Neuropathy (2), Headache (1), Lethargy (1), Metallic taste (1)Metronidazole (8), Ceftriaxone (4), Furosemide (4), Morphine (3), Metoclopramide (2), Haloperidol (2), Tramadol (2), Ondansetron (2), Tramadol and Metronidazole (2), Haloperidol and Carbamazepine (1), Levofloxacin (1), Meperidine (1), Phenytoin (1), Spironolactone (1), Isoniazid (1), Bicalutamide (1), Digoxin (1), Clonazepam (1)Gastrointestinal: 28 (31.1%)Constipation (9), Nausea (5), Nausea and vomiting (4), Abdominal pain (3), Diarrhea (3), Hiccups (1), Xerostomia (1), Gastritis (1), Mucositis (1)Ceftriaxone (3), Morphine (3), Capecitabine (2), Bisacodyl (2), Nifedipine (2), Docetaxel and Gemcitabine (2), Fluorouracil (2), Ondansetron (1), Amlodipine (1), Cisplatin (2), Codeine (1), Fentanyl (1), Furosemide (1), Metronidazole (1), Sevelamer (1), Tramadol (1), Vitamin C and Ferrous sulfate (1), Dexamethasone (1)Cardiovascular: 13 (14.5%)Tachycardia (4), Hypotension (3), Hypertension (3), Bradycardia (1), Fluid retention (1), Palpitation (1)Carbamazepine (2), Omeprazole (2), Sildenafil (1), Furosemide (1), Dexamethasone (1), Ciprofloxacin (1), Carvedilol (1), Trihexyphenidyl and Haloperidol (1), Vitamin K (1), Haloperidol and Fluoxetine (1), Imatinib (1)Endocrine & metabolic: 5 (5.6%)Hypoglycemia (4), Hyponatremia (1)Insulin (3), Metformin (1), Imatinib (1)Dermatologic: 2 (2.2%)Pruritus (2)Dexamethasone (1), Vancomycin (1)Eye/Otic: 2 (2.2%)Visual changes (1), Tinnitus (1)Tranexamic acid (1), Gentamycin and Tramadol (1)Hematologic and oncologic: 1 (1.1%)Anemia (1)Cisplatin and Fluorouracil (1)Renal: 1 (1.1%)Renal insufficiency (1)Cisplatin (1)\n\nThe Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021\n The Distribution of ADRs Among Patients with Different Risk Factors Ninety-three (75.0%) of the patients were 60–75 years old; out of which 48 (51.6%) experienced at least one ADR. Among 98 (79.0%) patients who stayed in the hospital for 11 and more days, 52 (53.1%) incurred ADR. Similarly, among the 53 (42.7%) patients who had experienced an ADR in the previous one year, 33 (62.3%) experienced ADR during the current admission. Twenty-six (21.0%) of them had been diagnosed with a renal disease, 21 (16.9%) patients had heart failure and 37 (29.8%) had a CCI≥6. Another 45 (36.3%) patients took at least one PIM and 76 (61.3%) of the patients were on polypharmacy; out of which 37 (82.2%) and 49 (64.5%) experienced ADR respectively (Table 3).\nTable 3The Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021VariablesCategoriesHospital Acquired ADRNoYesTotal (N = 124)Frequency (%)Frequency (%)Frequency (%)Age category60–7545 (48.4)48 (51.6)93 (75.0)>7517 (54.8)14 (45.2)31 (25.0)Hospital stay in days≤1016 (61.5)10 (38.5)26 (21.0)≥1146 (46.9)52 (53.1)98 (79.0)Previous ADR in 1 yearNo42 (59.2)29 (40.8)71 (57.3)Yes20 (37.7)33 (62.3)53 (42.7)Renal diseaseNo54 (55.1)44 (44.9)98 (79.0)Yes8 (30.8)18 (69.2)26 (21.0)Heart failureNo55 (53.4)48 (46.6)103 (83.1)Yes7 (33.3)14 (66.7)21 (16.9)CCI category≤560 (69.0)27 (31.0)87 (70.2)≥62 (5.4)35 (94.6)37 (29.8)PIMNo54 (68.4)25 (31.6)79 (63.7)Yes8 (17.8)37 (82.2)45 (36.3)PolypharmacyNo35 (72.9)13 (27.1)48 (38.7)Yes27 (35.5)49 (64.5)76 (61.3)\n\nThe Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021\nNinety-three (75.0%) of the patients were 60–75 years old; out of which 48 (51.6%) experienced at least one ADR. Among 98 (79.0%) patients who stayed in the hospital for 11 and more days, 52 (53.1%) incurred ADR. Similarly, among the 53 (42.7%) patients who had experienced an ADR in the previous one year, 33 (62.3%) experienced ADR during the current admission. Twenty-six (21.0%) of them had been diagnosed with a renal disease, 21 (16.9%) patients had heart failure and 37 (29.8%) had a CCI≥6. Another 45 (36.3%) patients took at least one PIM and 76 (61.3%) of the patients were on polypharmacy; out of which 37 (82.2%) and 49 (64.5%) experienced ADR respectively (Table 3).\nTable 3The Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021VariablesCategoriesHospital Acquired ADRNoYesTotal (N = 124)Frequency (%)Frequency (%)Frequency (%)Age category60–7545 (48.4)48 (51.6)93 (75.0)>7517 (54.8)14 (45.2)31 (25.0)Hospital stay in days≤1016 (61.5)10 (38.5)26 (21.0)≥1146 (46.9)52 (53.1)98 (79.0)Previous ADR in 1 yearNo42 (59.2)29 (40.8)71 (57.3)Yes20 (37.7)33 (62.3)53 (42.7)Renal diseaseNo54 (55.1)44 (44.9)98 (79.0)Yes8 (30.8)18 (69.2)26 (21.0)Heart failureNo55 (53.4)48 (46.6)103 (83.1)Yes7 (33.3)14 (66.7)21 (16.9)CCI category≤560 (69.0)27 (31.0)87 (70.2)≥62 (5.4)35 (94.6)37 (29.8)PIMNo54 (68.4)25 (31.6)79 (63.7)Yes8 (17.8)37 (82.2)45 (36.3)PolypharmacyNo35 (72.9)13 (27.1)48 (38.7)Yes27 (35.5)49 (64.5)76 (61.3)\n\nThe Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021\n Receiver Operating Characteristic (ROC) Curve of the Validation Cohort The ROC curve for this validation study is positioned at top-left side showing a good prediction ability of the tool for hospital-acquired ADRs in hospitalized older adults. The current AUROC, which is the average value of the sensitivity for a test over all possible values of specificity or vice versa,9 of 0.917 (0.864–0.971 at 95% CI; p <0.001) is categorized as excellent (AUC >0.900). Overall, the PADROI tool has correctly predicted 91.7% of those who experienced an ADR but falsely classified 8.3% of the patients to be at no risk of incurring an ADR (Figure 5). The mean PADROI scores for participants with ADR and without ADR was shown to be 15.4±5.3 and 5.9±3.6, respectively.Figure 5The ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\nThe ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\nThe ROC curve for this validation study is positioned at top-left side showing a good prediction ability of the tool for hospital-acquired ADRs in hospitalized older adults. The current AUROC, which is the average value of the sensitivity for a test over all possible values of specificity or vice versa,9 of 0.917 (0.864–0.971 at 95% CI; p <0.001) is categorized as excellent (AUC >0.900). Overall, the PADROI tool has correctly predicted 91.7% of those who experienced an ADR but falsely classified 8.3% of the patients to be at no risk of incurring an ADR (Figure 5). The mean PADROI scores for participants with ADR and without ADR was shown to be 15.4±5.3 and 5.9±3.6, respectively.Figure 5The ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\nThe ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\n Sensitivity and Specificity of the ROC at Different Cut-off Values for PADROI As the scores of the PADROI increased from 0 to 10, the AUROC increased from 0.516 to 0.887 and its sensitivity declined from 100% to 87.1% and the specificity increased from 3.2% to 90.3%. Beyond the PADROI scores of 10, however, the AUROC did not show increase and then began to decline as the sensitivity was declining. Thus, a cut-off point for PADROI scores of ≥10 points showed an optimal prediction ability where it correctly predicted 54 (PADROI ≥10) out of the 62 patients who actually experienced an ADR (sensitivity of 87.1%) whereas 56 (PADROI <10) out of the 62 patients without ADR were correctly classified as not at risk of ADR (specificity = 90.3%) (Table 4).\nTable 4The Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, UgandaPADROI ScoresHospital Acquired ADRAUCSensitivity (%)Specificity (%)No (N = 62)Yes (N = 62)Total (N = 124)Frequency (%)Frequency (%)Frequency (%)Greater or equal to 160 (49.2)62 (50.8)122 (98.4%)0.5161003.2Greater or equal to 540 (40.0)60 (60.0)100 (80.6)0.66196.835.5Greater or equal to 814 (19.7)57 (80.3)71 (57.3)0.84791.977.4Greater or equal to 106 (10.0)54 (90.0)60 (48.4)0.88787.190.3Greater or equal to 124 (7.1)52 (92.9)56 (45.2)0.88783.993.5Greater or equal to 152 (5.1)37 (94.9)39 (31.5)0.78259.796.8Greater or equal to 200 (0.0)15 (100.0)15 (12.1)0.62124.2100Greater or equal to 250 (0.0)1 (100.0)1 (0.8)0.5081.6100Total6262124***Notes: *Not applicable. Bold: Recommended cut-off point.\n\nThe Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, Uganda\nNotes: *Not applicable. Bold: Recommended cut-off point.\nAs the scores of the PADROI increased from 0 to 10, the AUROC increased from 0.516 to 0.887 and its sensitivity declined from 100% to 87.1% and the specificity increased from 3.2% to 90.3%. Beyond the PADROI scores of 10, however, the AUROC did not show increase and then began to decline as the sensitivity was declining. Thus, a cut-off point for PADROI scores of ≥10 points showed an optimal prediction ability where it correctly predicted 54 (PADROI ≥10) out of the 62 patients who actually experienced an ADR (sensitivity of 87.1%) whereas 56 (PADROI <10) out of the 62 patients without ADR were correctly classified as not at risk of ADR (specificity = 90.3%) (Table 4).\nTable 4The Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, UgandaPADROI ScoresHospital Acquired ADRAUCSensitivity (%)Specificity (%)No (N = 62)Yes (N = 62)Total (N = 124)Frequency (%)Frequency (%)Frequency (%)Greater or equal to 160 (49.2)62 (50.8)122 (98.4%)0.5161003.2Greater or equal to 540 (40.0)60 (60.0)100 (80.6)0.66196.835.5Greater or equal to 814 (19.7)57 (80.3)71 (57.3)0.84791.977.4Greater or equal to 106 (10.0)54 (90.0)60 (48.4)0.88787.190.3Greater or equal to 124 (7.1)52 (92.9)56 (45.2)0.88783.993.5Greater or equal to 152 (5.1)37 (94.9)39 (31.5)0.78259.796.8Greater or equal to 200 (0.0)15 (100.0)15 (12.1)0.62124.2100Greater or equal to 250 (0.0)1 (100.0)1 (0.8)0.5081.6100Total6262124***Notes: *Not applicable. Bold: Recommended cut-off point.\n\nThe Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, Uganda\nNotes: *Not applicable. Bold: Recommended cut-off point.\n Receiver Operating Characteristic (ROC) Curve of the Combined Cohort The AUROC for the combined cohort was observed to be 0.900 (0.876–0.924 at 95% CI; p <0.001). It showed a sensitivity of 78.3% and a specificity of 89.4% at a cut-off PADROI point of 11 and above (Figure 6).Figure 6The ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\nThe ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\nThe AUROC for the combined cohort was observed to be 0.900 (0.876–0.924 at 95% CI; p <0.001). It showed a sensitivity of 78.3% and a specificity of 89.4% at a cut-off PADROI point of 11 and above (Figure 6).Figure 6The ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\nThe ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.", "A score was assigned to each of the 8 included predictors by rounding off the respective Adjusted Odds Ratios (AORs) to the nearest whole number. The score for hospital stay was considered only when patients were hospitalized for 11 or more days. For patients who experienced an ADR, the hospital stay referred to the number of days before the first ADR occurred instead of the total duration of hospital stay. Likewise, only polypharmacy and PIM incidents that were experienced before the occurrence of an ADR were used in scoring of PADROI. Charlson Comorbidity Index (CCI) calculated before the first incident of ADR was considered. Previous ADRs included any possible suspected ADR that occurred within one year preceding the current hospitalization. Kidney disease includes any structural or functional renal problem diagnosed by a doctor as confirmed by laboratory tests, diagnostic tools or biopsy. The weight of the risk associated with each independent predictor was obtained by rounding off the respective AORs to the nearest whole number. The sum of weights of the eight-risk factors of the PADROI model totaled 29. We also developed an alternative model by assigning points to each predictor using the adjusted β coefficients rounded off to one decimal and then by multiplying each score by 10 (Table 1).\nTable 1PADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021No.PredictorAOR of the Variable’s CategoryPoints Assigned According to AORβ-adjePoints Assigned According to β-adj1Age 60–75 years1.972.00.772Previous ADR in 1 year2.432.00.993aPIM4.565.01.5154bPolypharmacy3.293.01.2125cCCI ≥68.478.02.1216Heart failure2.833.01.0107dKidney disease1.952.00.778Hospital stay ≥11 days3.534.01.313Total-___/29-___/94Notes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal.\n\nPADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021\nNotes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal.", "The AUROC curve for the PADROI model that was developed using adjusted odds ratios was shown to be 0.896 (0.869–0.923; at 95% CI; p <0.001) for the derivational study. This AUC is classified as’ very good or 0.800–0.899.’ The ROC curve was positioned at the top left for sensitivity which revealed its high prediction ability for ADRs (Figure 1). A cut-off point for PADROI score of 11 and above showed an optimal ADR risk prediction ability with a balanced sensitivity and specificity. At this point PADROI showed a sensitivity of 79.3% (true positive) and specificity of 86.1% (true negative). The mean PADROI scores were observed to be 15.5±5.8 and 5.9±4.6 for patients with ADR and those without respectively.Figure 1ROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study.\nROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study.\nThe AUROC curve was 0.897 (0.870–0.924 at 95% CI; p <0.001) for the PADROI tool that was developed using the adjusted β coefficients. Thus, the ADR risk prediction ability of the two tools was shown to be the same. Because of its simplicity (total scores of 29 compared with 94) and a smoother AUROC curve, we selected PADROI tool that was developed from the adjusted odds ratios for our validation study (Figures 2 and 3).Figure 2ROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study.Figure 3The comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study.\nROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study.\nThe comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study.", " The Participant Characteristics For this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nThe gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nFor this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nThe gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.", "For this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.\nThe gender and ward distribution of older patients hospitalized at MRRH from July to September 2021.", "Sixty-two patients experienced a total of 90 ADRs during the current hospital stay. Applying the Naranjo ADR causality scale, 68 (75.6%), 19 (21.1%), and 3 (3.3%) ADRs were rated as probable, possible, and definite ADRs, respectively. ADRs affecting the nervous (38, 42.2%), gastrointestinal (28, 31.1%), and cardiovascular systems (13, 14.5%) were the three most frequently experienced ADRs during the current hospitalization. Metronidazole (11/90), ceftriaxone (7/90), furosemide (6/90), tramadol (6/90) and morphine (6/90) were observed to be the five drugs most commonly suspected as the cause of the ADRs (Table 2).\nTable 2The Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021Category of ADRSpecific ADRsDrugs Suspected for the ADRsNervous system: 38 (42.2%)Dizziness (16), Drowsiness (15), Extrapyramidal reaction (2), Neuropathy (2), Headache (1), Lethargy (1), Metallic taste (1)Metronidazole (8), Ceftriaxone (4), Furosemide (4), Morphine (3), Metoclopramide (2), Haloperidol (2), Tramadol (2), Ondansetron (2), Tramadol and Metronidazole (2), Haloperidol and Carbamazepine (1), Levofloxacin (1), Meperidine (1), Phenytoin (1), Spironolactone (1), Isoniazid (1), Bicalutamide (1), Digoxin (1), Clonazepam (1)Gastrointestinal: 28 (31.1%)Constipation (9), Nausea (5), Nausea and vomiting (4), Abdominal pain (3), Diarrhea (3), Hiccups (1), Xerostomia (1), Gastritis (1), Mucositis (1)Ceftriaxone (3), Morphine (3), Capecitabine (2), Bisacodyl (2), Nifedipine (2), Docetaxel and Gemcitabine (2), Fluorouracil (2), Ondansetron (1), Amlodipine (1), Cisplatin (2), Codeine (1), Fentanyl (1), Furosemide (1), Metronidazole (1), Sevelamer (1), Tramadol (1), Vitamin C and Ferrous sulfate (1), Dexamethasone (1)Cardiovascular: 13 (14.5%)Tachycardia (4), Hypotension (3), Hypertension (3), Bradycardia (1), Fluid retention (1), Palpitation (1)Carbamazepine (2), Omeprazole (2), Sildenafil (1), Furosemide (1), Dexamethasone (1), Ciprofloxacin (1), Carvedilol (1), Trihexyphenidyl and Haloperidol (1), Vitamin K (1), Haloperidol and Fluoxetine (1), Imatinib (1)Endocrine & metabolic: 5 (5.6%)Hypoglycemia (4), Hyponatremia (1)Insulin (3), Metformin (1), Imatinib (1)Dermatologic: 2 (2.2%)Pruritus (2)Dexamethasone (1), Vancomycin (1)Eye/Otic: 2 (2.2%)Visual changes (1), Tinnitus (1)Tranexamic acid (1), Gentamycin and Tramadol (1)Hematologic and oncologic: 1 (1.1%)Anemia (1)Cisplatin and Fluorouracil (1)Renal: 1 (1.1%)Renal insufficiency (1)Cisplatin (1)\n\nThe Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021", "Ninety-three (75.0%) of the patients were 60–75 years old; out of which 48 (51.6%) experienced at least one ADR. Among 98 (79.0%) patients who stayed in the hospital for 11 and more days, 52 (53.1%) incurred ADR. Similarly, among the 53 (42.7%) patients who had experienced an ADR in the previous one year, 33 (62.3%) experienced ADR during the current admission. Twenty-six (21.0%) of them had been diagnosed with a renal disease, 21 (16.9%) patients had heart failure and 37 (29.8%) had a CCI≥6. Another 45 (36.3%) patients took at least one PIM and 76 (61.3%) of the patients were on polypharmacy; out of which 37 (82.2%) and 49 (64.5%) experienced ADR respectively (Table 3).\nTable 3The Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021VariablesCategoriesHospital Acquired ADRNoYesTotal (N = 124)Frequency (%)Frequency (%)Frequency (%)Age category60–7545 (48.4)48 (51.6)93 (75.0)>7517 (54.8)14 (45.2)31 (25.0)Hospital stay in days≤1016 (61.5)10 (38.5)26 (21.0)≥1146 (46.9)52 (53.1)98 (79.0)Previous ADR in 1 yearNo42 (59.2)29 (40.8)71 (57.3)Yes20 (37.7)33 (62.3)53 (42.7)Renal diseaseNo54 (55.1)44 (44.9)98 (79.0)Yes8 (30.8)18 (69.2)26 (21.0)Heart failureNo55 (53.4)48 (46.6)103 (83.1)Yes7 (33.3)14 (66.7)21 (16.9)CCI category≤560 (69.0)27 (31.0)87 (70.2)≥62 (5.4)35 (94.6)37 (29.8)PIMNo54 (68.4)25 (31.6)79 (63.7)Yes8 (17.8)37 (82.2)45 (36.3)PolypharmacyNo35 (72.9)13 (27.1)48 (38.7)Yes27 (35.5)49 (64.5)76 (61.3)\n\nThe Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021", "The ROC curve for this validation study is positioned at top-left side showing a good prediction ability of the tool for hospital-acquired ADRs in hospitalized older adults. The current AUROC, which is the average value of the sensitivity for a test over all possible values of specificity or vice versa,9 of 0.917 (0.864–0.971 at 95% CI; p <0.001) is categorized as excellent (AUC >0.900). Overall, the PADROI tool has correctly predicted 91.7% of those who experienced an ADR but falsely classified 8.3% of the patients to be at no risk of incurring an ADR (Figure 5). The mean PADROI scores for participants with ADR and without ADR was shown to be 15.4±5.3 and 5.9±3.6, respectively.Figure 5The ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\nThe ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.", "As the scores of the PADROI increased from 0 to 10, the AUROC increased from 0.516 to 0.887 and its sensitivity declined from 100% to 87.1% and the specificity increased from 3.2% to 90.3%. Beyond the PADROI scores of 10, however, the AUROC did not show increase and then began to decline as the sensitivity was declining. Thus, a cut-off point for PADROI scores of ≥10 points showed an optimal prediction ability where it correctly predicted 54 (PADROI ≥10) out of the 62 patients who actually experienced an ADR (sensitivity of 87.1%) whereas 56 (PADROI <10) out of the 62 patients without ADR were correctly classified as not at risk of ADR (specificity = 90.3%) (Table 4).\nTable 4The Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, UgandaPADROI ScoresHospital Acquired ADRAUCSensitivity (%)Specificity (%)No (N = 62)Yes (N = 62)Total (N = 124)Frequency (%)Frequency (%)Frequency (%)Greater or equal to 160 (49.2)62 (50.8)122 (98.4%)0.5161003.2Greater or equal to 540 (40.0)60 (60.0)100 (80.6)0.66196.835.5Greater or equal to 814 (19.7)57 (80.3)71 (57.3)0.84791.977.4Greater or equal to 106 (10.0)54 (90.0)60 (48.4)0.88787.190.3Greater or equal to 124 (7.1)52 (92.9)56 (45.2)0.88783.993.5Greater or equal to 152 (5.1)37 (94.9)39 (31.5)0.78259.796.8Greater or equal to 200 (0.0)15 (100.0)15 (12.1)0.62124.2100Greater or equal to 250 (0.0)1 (100.0)1 (0.8)0.5081.6100Total6262124***Notes: *Not applicable. Bold: Recommended cut-off point.\n\nThe Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, Uganda\nNotes: *Not applicable. Bold: Recommended cut-off point.", "The AUROC for the combined cohort was observed to be 0.900 (0.876–0.924 at 95% CI; p <0.001). It showed a sensitivity of 78.3% and a specificity of 89.4% at a cut-off PADROI point of 11 and above (Figure 6).Figure 6The ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.\nThe ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda.", "Identification of the predictors of ADR occurrence in hospitalized older patients is crucial to develop a strong ADR-risk prediction tool.20,21 A systematic review of previously reported risk factors and a subsequent prospective derivational study were conducted to determine the risk factors of hospital-acquired ADRs in older adults. In the current study, we developed an ADR-risk prediction tool for older inpatients using adjusted odds ratios in the final model of multivariable logistic regression, and an alternative tool using the adjusted β coefficients of the same model. The two potential ADR-prediction tools showed the same prediction ability; AUROC curves of 0.896 and 0.897, respectively. However, because of its simplicity (total scores out of 29 compared with out of 94) and a smoother AUROC curve, we selected the PADROI risk assessment tool that was developed from the adjusted odds ratios for our validation study.\nThe PADROI’s AUROC curve of 0.896 of the derivational cohort is classified as’ very good or 0.800–0.899.’ The ROC curve was positioned at the top left for sensitivity which revealed its high prediction ability for ADRs. The current AUC is considerably higher than those reported during previous derivational studies including 0.623 in Irish older adults,18 0.74 in UK older inpatients,10 0.71 in Italian older patients,17 and 0.627 in Japanese older patients.39\nWhile applying PADROI to the derivational cohort, a cut-off score of 11 and above out of 29 showed an optimal prediction ability for hospital-acquired ADRs in older adults. At this point, a sensitivity of 79.3% (true positive) and specificity of 86.1% (true negative) were observed. A cutoff point with a higher specificity compared with sensitivity (86.1% vs 79.3%) was preferred though falsely ruling out ADR risk has more deleterious effects on the patient. However, a sensitivity of about 80% is also quite adequate to minimize the number of cases falsely predicted to be at no risk. Higher specificity, in turn, enables to avoid unnecessary intensive monitoring for ADRs and needless avoidance of some medications though the ADR is not actually incurred. Unlike the previous similar ADR prediction studies that were shown to be unsuitable for a wide clinical use because of their AUROC values of less than 0.80,7 PADROI score showed a very good AUROC and was potentially applicable for wider clinical use. Thus, we carried out a separate validation cohort for external validation.\nIn the validation study, 62 patients experienced a total of 90 possible ADRs during the current hospital stay. ADRs affecting the nervous system (38/90), gastrointestinal (28/90) and cardiovascular (13/90) systems were the three most frequently experienced ADRs during the current hospitalization. The proportion of ADRs affecting the nervous system, however, is considerably higher than that of the derivational study. This can be explained by the inclusion of psychiatry wards in the validation cohort. On the other hand, these results are comparable with findings from previous studies that had shown ADRs affecting gastrointestinal tract,39–43 nervous system30,39,43 and cardiovascular system30,41 to be the commonest types in this population. Patients in psychiatry wards experienced more ADRs affecting the nervous system. Metronidazole (11/90), ceftriaxone (7/90), furosemide (6/90), tramadol (6/90) and morphine (6/90) were observed to be the five drugs most commonly suspected as the cause of the ADRs. These results are comparable with the derivational cohort and other previous studies that showed antimicrobials and drugs acting on the nervous system and cardiovascular drugs to be the most frequent culprit medications in hospital-acquired ADRs in older adults.40,43–47\nConsistent with previous studies, the proportion of hospital-acquired ADR was higher in patients aged 60–75 years compared with those older than 75;41,42,48,49 among those who were hospitalized for 11 and more days, in patients with a history of an ADR in the previous one year,17,50 in those with a renal disease,18,22,30 in patients with heart failure17,18,51 and those with a CCI ≥6,17,18,48 in older patients that took at least one PIM18,30 and those on polypharmacy10,22,45,50 compared with their controls.\nThe ROC curve for the current validation study is also positioned at the top-left side showing high prediction ability of the tool for hospital-acquired ADRs in hospitalized older adults. AUROC measures the probability that’ a patient with an ADR had a higher predicted probability than a patient without an ADR.’ An AUROC of 1 represents a perfect model whilst 0.5 is random concordance.10−12\nThe current AUROC of 0.917 (0.864–0.971 at 95% CI; p <0.001) is categorized as excellent (AUROC >0.900). AUROC is the average value of the sensitivity for a test over all possible values of specificity or vice versa.9 Overall, the PADROI tool has correctly predicted 91.7% of those who experienced an ADR but falsely classified 8.3% of the patients to be at no risk of incurring an ADR.\nSensitivity is the ability of a screening tool to correctly identify people who have a condition whereas specificity is its ability to correctly identify people who do not have the condition.13 During the validation cohort PADROI scores of 10 and above showed the best-balanced sensitivity and specificity where it correctly predicted 54 (PADROI ≥10) out of the 62 patients who actually experienced an ADR to be at risk (sensitivity of 87.1%) and 56 (PADROI <10) out of the 62 patients without ADR were correctly classified to be at no risk of ADR (specificity = 90.3%). Thus only 12.9% and 9.7% of the patients were wrongly classified to be at no risk of an ADR and at a risk of ADR respectively. The current sensitivity and specificity of 87.1% and 90.3% are considerably higher than sensitivities and specificities of 80% and 55% in BADRI model from a UK study,10 68% and 65% in GerontoNet ADR Risk Score from an Italian cohort.17\nThe AUROC of the PADROI’s validation study is significantly higher than 0.592 from an Irish validation cohort,18 0.61 from a multi-centered observational study in Europe,52 0.623 in Ireland,30 0.70 in an Italian study,17 and 0.73 from another validation study of European patients.10 Our combined cohort, similarly, showed an excellent AUROC of 0.900 (0.876–0.924 at 95% CI; p <0.001) and a sensitivity of 78.3% and a specificity of 89.4% at a cut-off PADROI score of 11/29 and above. This is significantly higher compared with an AUROC of 0.566 reported by the combined cohort from an Irish study that applied the GerontoNet ADR risk scale to its combined cohorts.18\nThe possible explanations for the current higher AUROC include: higher number of variables studied in derivational cohort and thus more comprehensive final model as compared with the previous studies that consisted of 4–6 variables10,17,30 and the use of two separate prospective cohorts for derivational and validation studies as compared with ADRROP18 and GerontoNet17 models which were retrospectively developed from patient databases. Moreover, the lower AUROC curve from previous studies might be attributed to their inclusion of other study settings or different countries10,17,30 during the validation study unlike the PADROI model that was developed and validated in the same setting. Moreover, our study included all possible, probable and definite ADRs unlike O’Mahony et al. that excluded possible ADRs.30 This might explain the lower sensitivity (62%) reported by the latter.\nThe current validation study’s strengths include its power of 90%, consistency in ADR definition, ADR identification procedures, employing validated standard data collection tools, and engaging a multidisciplinary team consisting of doctors and pharmacists in an attempt to improve the accuracy of ADR identification and characterization. However, the study has some important limitations to be taken into consideration including: the model being driven from a single-centered study in a low income setting, external validation involving a single health facility that was the same as one involved in the derivational study and a short study period of the validation cohort. Accordingly, the types of medications used, the common medical conditions, and the health professional and health facility factors might differ from the conditions in other health facilities in the region and elsewhere. This might potentially limit its application in wider clinical uses and thus, we recommend larger and multi-centered cohorts of older adults to be undertaken applying this greatly promising model in low- and middle-income countries as well as high-income countries.", "A prospective derivational study was conducted to develop an ADR-risk prediction tool named as PADROI among older inpatients. The PADROI model achieved a very good AUROC in derivational cohort, and excellent AUROC curve in validation cohort as well as in combined cohort. The PADROI model demonstrated a specificity of 90.3% and a sensitivity of 87.1%. The current AUROC curve, sensitivity and specificity were all considerably higher than those achieved by previous studies. We recommend a multi-centered validation study to evaluate the performance and impact the PADROI tool in clinical practice." ]
[ "intro", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "development", "validation", "prediction", "adverse drug reaction", "inpatients", "older adults" ]
Introduction: The occurrence of adverse drug reactions (ADRs) continues to substantially contribute to the morbidity, mortality and high health care cost in the older population.1–4 The prevalence of ADRs among hospitalized older adults ranged from 6–46% in high income countries (HICs) and from 10.7–64.0% in low- and middle-income countries (LMICs). The majority (60%) of all ADRs in this patient population are potentially preventable.5 Current recommended practice for detecting and predicting ADRs in the elderly comprises thorough documentation and consistent evaluation of prescribed and over-the-counter medications through standardized medication reconciliation.6 ADR detection and prediction methods in hospitalized older adults remain imprecise. Focusing on high-risk medications and patients with multi-morbidity may advance prediction of adverse drug reaction.7 Obtaining a good ADR risk-prediction model usually occurs over four stages; first, identification of predictors of the phenomenon; second, validation that involves testing the potential model performance; third, evaluation of impact and usefulness in routine clinical practice; and lastly, implementation to assess acceptability and performance in real-life clinical practice.8 Area Under the Receiver Operating Characteristic Curves (AUROC) is the average value of the sensitivity for a test over all possible values of specificity or vice versa.9 In screening tests, sensitivity, the true positive rate, refers to the proportion of people that are correctly predicted to have a condition out of all people who actually have it. A sensitivity of 100% means the ability to correctly predict all people with the condition. Specificity, the true negative rate, refers to the proportion of those who were correctly predicted not to have a condition among those that actually do not experience it.10−13 Prediction models are categorized based on their AUROC curve values as: “excellent” (AUROC curve ≥0.900), “very good” (AUROC curve 0.80–0.89), “acceptable” (AUROC curve 0.70–0.79) and ”poor” (AUROC curve <0.7).14–16 Previously developed ADR risk-prediction models in older inpatients had achieved AUROC of 0.7017 to 0.7410 during their validation stages and all of them showed low specificity (<65%) and some of them used retrospective studies to develop their models.17,18 The existing models need further work to enable the development of a robust ADR risk-prediction model that is externally validated, with practical design and good performance.19 However, to the best of our knowledge, there is no study published on the validation of an ADR risk-prediction model for older inpatients in LMICs. These ADR-risk prediction tools help health professionals to accurately predict patients that are going to incur an ADR during their hospital stay, thus, highlighting the need for close monitoring, avoidance of some medications or combination of drugs and to implement other relevant interventions and, ultimately, to mitigate the burden of ADRs in clinical as well as economic aspects.20,21 This study, thus, aimed at developing and validating ‘Prediction of ADR in Older Inpatients’ (PADROI), an ADR-risk prediction tool, by employing two separate prospective cohort studies in older adults in Uganda, a low income country. Methods: Development and Scoring of the PADROI Model The authors had previously conducted a systematic review on risk factors of ADRs among hospitalized older adults. It identified 15 independent risk factors reported by previous studies. The details of the systematic review were published elsewhere.5 Then we included the 15 previously reported risk factors and four more relevant independent variables, as independent variables in our derivational study conducted at MRRH from November 9, 2020 to May 7, 2021. This study, particularly, aimed at determining the risk factors of hospital-acquired ADRs in this group of patients. Details of the results were published elsewhere.22 In the current validation study, we aimed at developing a potential ADR-risk assessment tool from the data set of the derivational study, and then to validate it in a separate follow-on prospective observational study. The data on the 19 independent variables were extracted and were assessed for assumptions of logistic regressionand subjected to multivariable logistic regression. We first verified that there was no significant multicollinearity between any of the 13 independent variables. Moreover, both forward and backward conditional logistic regression similarly showed 8 out of the 13 independent variables to be significantly associated with the occurrence of hospital-acquired ADRs. Eight independent variables that were statistically significant and were retained in the final model included: age 60–75 (AOR = 1.97, 95% CI: 1.14–3.41; p = 0.015) compared with >75 years, previous ADR in 1 year (AOR = 2.43, 95% CI: 1.42–4.17; p = 0.001), PIM (AOR = 4.56, 95% CI: 2.70–7.70; p <0.001), polypharmacy (AOR = 3.29, 95% CI: 1.98–5.46; p <0.001), having CCI ≥6 (AOR = 8.47, 95% CI: 4.85–14.99; p <0.001), having heart failure (AOR = 2.83, 95% CI: 1.34–6.02; p = 0.007) or kidney disease (AOR = 1.95, 95% CI: 1.05–3.61; p = 0.034) and a hospital stay >10 days (AOR = 3.53, 95% CI: 1.89–6.61; p <0.001) compared with <5 days. The authors had previously conducted a systematic review on risk factors of ADRs among hospitalized older adults. It identified 15 independent risk factors reported by previous studies. The details of the systematic review were published elsewhere.5 Then we included the 15 previously reported risk factors and four more relevant independent variables, as independent variables in our derivational study conducted at MRRH from November 9, 2020 to May 7, 2021. This study, particularly, aimed at determining the risk factors of hospital-acquired ADRs in this group of patients. Details of the results were published elsewhere.22 In the current validation study, we aimed at developing a potential ADR-risk assessment tool from the data set of the derivational study, and then to validate it in a separate follow-on prospective observational study. The data on the 19 independent variables were extracted and were assessed for assumptions of logistic regressionand subjected to multivariable logistic regression. We first verified that there was no significant multicollinearity between any of the 13 independent variables. Moreover, both forward and backward conditional logistic regression similarly showed 8 out of the 13 independent variables to be significantly associated with the occurrence of hospital-acquired ADRs. Eight independent variables that were statistically significant and were retained in the final model included: age 60–75 (AOR = 1.97, 95% CI: 1.14–3.41; p = 0.015) compared with >75 years, previous ADR in 1 year (AOR = 2.43, 95% CI: 1.42–4.17; p = 0.001), PIM (AOR = 4.56, 95% CI: 2.70–7.70; p <0.001), polypharmacy (AOR = 3.29, 95% CI: 1.98–5.46; p <0.001), having CCI ≥6 (AOR = 8.47, 95% CI: 4.85–14.99; p <0.001), having heart failure (AOR = 2.83, 95% CI: 1.34–6.02; p = 0.007) or kidney disease (AOR = 1.95, 95% CI: 1.05–3.61; p = 0.034) and a hospital stay >10 days (AOR = 3.53, 95% CI: 1.89–6.61; p <0.001) compared with <5 days. Validation Study Study Setting and Period This validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021. This validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021. Study Setting and Period This validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021. This validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021. Study Design A prospective cohort study was conducted to determine the prediction ability of the PADROI ADR prediction tool. A prospective cohort study was conducted to determine the prediction ability of the PADROI ADR prediction tool. Study Population We included all inpatients 60 years and older who were admitted to Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of MRRH during the study period and gave their informed consent. We excluded patients in coma or any level of unconsciousness as well as unstable psychiatric patients with mood disorders, schizophrenia and dementia who were on acute treatment. We also excluded patients who died or were discharged in less than 48 hours. We included all inpatients 60 years and older who were admitted to Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of MRRH during the study period and gave their informed consent. We excluded patients in coma or any level of unconsciousness as well as unstable psychiatric patients with mood disorders, schizophrenia and dementia who were on acute treatment. We also excluded patients who died or were discharged in less than 48 hours. Sample Size Determination The sample size for this validation study was calculated using MedCalc® Software Version 19.2 (©1993–2020), that employed the standard formula for sample size determination for ROC studies.23 Taking a power of 90% and Type I error of 0.01, null hypothesis AUROC (the best available AUROC in older inpatients) of 0.74,10 and a target AUROC of 0.896 obtained from derivational cohort of the current project,22 48 positive cases (patients with ADR) and 48 negative cases (patients without ADR) are required for this ROC study. By adding 25% for potential drop-outs, 60 positive cases and 60 negative cases, totaling 120 patients, who are 60 years and older were required. The sample size for this validation study was calculated using MedCalc® Software Version 19.2 (©1993–2020), that employed the standard formula for sample size determination for ROC studies.23 Taking a power of 90% and Type I error of 0.01, null hypothesis AUROC (the best available AUROC in older inpatients) of 0.74,10 and a target AUROC of 0.896 obtained from derivational cohort of the current project,22 48 positive cases (patients with ADR) and 48 negative cases (patients without ADR) are required for this ROC study. By adding 25% for potential drop-outs, 60 positive cases and 60 negative cases, totaling 120 patients, who are 60 years and older were required. Sampling Techniques We employed a consecutive sampling technique involving all adults 60 years and older admitted at Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards. Accordingly, all older patients who passed the inclusion and exclusion criteria were consecutively recruited until the target sample was achieved for both the cases and controls. We employed a consecutive sampling technique involving all adults 60 years and older admitted at Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards. Accordingly, all older patients who passed the inclusion and exclusion criteria were consecutively recruited until the target sample was achieved for both the cases and controls. Data Collection Three research assistants were involved in the data collection process. The principal investigator (senior clinical pharmacist) together with two physicians formed a team of experts. Firstly, an interviewer-based structured questionnaire was used to collect the data on participants’ characteristics, history of medical, surgical, gynecological and psychiatric conditions and previous drug uses, drug allergies, use of non-prescription and alternative medicines. Secondly, we reviewed patients’ medical files for diagnosis, comorbid conditions, previous adverse drug events, and diagnostic test results as soon as possible but within 48 hours. Thirdly, every day during their hospital stay except on Sundays, we updated the participants’ information after we interviewed them, conducted targeted physical assessments, and reviewed their medical files. Fourthly, we used the British National Formulary (BNP)24 and UpToDate25 to identify the known ADR profile of the drugs used. We employed the Beers Criteria26 to identify PIMs. Polypharmacy was defined as concurrent use of five or more drugs (active pharmaceutical ingredients).18,27–31 Lexicomp® was used to detect clinically significant drug-drug interactions. The medications suspected for ADRs were classified according to the WHO-Anatomical Therapeutic Chemical (ATC) classification.32 Charlson Comorbidity Index was used to rate the complexity and prognosis of the participants’ conditions.33 All adverse events suspected by the principal investigator and the physician were considered for ADR causality rating and discussion by the team. The body systems affected by ADRs were categorized using the International Statistical Classification of Diseases for Mortality and Morbidity Statistics (ICD-11 MMS).34 Three research assistants were involved in the data collection process. The principal investigator (senior clinical pharmacist) together with two physicians formed a team of experts. Firstly, an interviewer-based structured questionnaire was used to collect the data on participants’ characteristics, history of medical, surgical, gynecological and psychiatric conditions and previous drug uses, drug allergies, use of non-prescription and alternative medicines. Secondly, we reviewed patients’ medical files for diagnosis, comorbid conditions, previous adverse drug events, and diagnostic test results as soon as possible but within 48 hours. Thirdly, every day during their hospital stay except on Sundays, we updated the participants’ information after we interviewed them, conducted targeted physical assessments, and reviewed their medical files. Fourthly, we used the British National Formulary (BNP)24 and UpToDate25 to identify the known ADR profile of the drugs used. We employed the Beers Criteria26 to identify PIMs. Polypharmacy was defined as concurrent use of five or more drugs (active pharmaceutical ingredients).18,27–31 Lexicomp® was used to detect clinically significant drug-drug interactions. The medications suspected for ADRs were classified according to the WHO-Anatomical Therapeutic Chemical (ATC) classification.32 Charlson Comorbidity Index was used to rate the complexity and prognosis of the participants’ conditions.33 All adverse events suspected by the principal investigator and the physician were considered for ADR causality rating and discussion by the team. The body systems affected by ADRs were categorized using the International Statistical Classification of Diseases for Mortality and Morbidity Statistics (ICD-11 MMS).34 Identification of ADRs We used Edwards and Aronson’s definition of ADR: ‘an appreciably harmful or unpleasant reaction, resulting from an intervention related to the use of a medicinal product, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the product.’35 ADRs were first suspected when there was a relationship between the time of drug administration and the onset and course of the adverse reaction while excluding other potential causes.36 Every day except on Sundays, all ADRs suspected by the principal investigator were discussed with the team of experts consisting of the principal investigator (senior clinical pharmacist) and two senior physicians to establish the drug causality of the suspected ADRs. The principal investigator then used the Naranjo ADR assessment scale37 to rate the causal relationship of an ADR and the suspected medication. ADRs were classified as definite (9–12 points), probable (5–8 points), possible (1–4 points), or doubtful (0 points). We excluded all doubtful ADRs whereas we endorsed those rated as possible, probable or definite as’ possible ADR’s once consensus was reached by the team of experts. When consensus was not reached, a majority decision of the three members of the team was applied. We used Edwards and Aronson’s definition of ADR: ‘an appreciably harmful or unpleasant reaction, resulting from an intervention related to the use of a medicinal product, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the product.’35 ADRs were first suspected when there was a relationship between the time of drug administration and the onset and course of the adverse reaction while excluding other potential causes.36 Every day except on Sundays, all ADRs suspected by the principal investigator were discussed with the team of experts consisting of the principal investigator (senior clinical pharmacist) and two senior physicians to establish the drug causality of the suspected ADRs. The principal investigator then used the Naranjo ADR assessment scale37 to rate the causal relationship of an ADR and the suspected medication. ADRs were classified as definite (9–12 points), probable (5–8 points), possible (1–4 points), or doubtful (0 points). We excluded all doubtful ADRs whereas we endorsed those rated as possible, probable or definite as’ possible ADR’s once consensus was reached by the team of experts. When consensus was not reached, a majority decision of the three members of the team was applied. Data Analysis and Interpretation The data were entered and cleaned by EpiInfo version 7.2.3.1 and then transferred to and analyzed by IBM Statistical Package for the Social Sciences (SPSS version 23.0 Inc., Chicago, Illinois). Descriptive statistics was used to determine the frequencies and percentages of the ADR occurrences and categories, drugs associated with the ADRs, and distribution of the predictors among patients with at least one hospital-acquired ADR and those without one. For both the derivational and validation studies, we determined the predictive ability of the PADROI model by fitting Receiver Operating Characteristic curves and calculating the area under the curve and sensitivities and specificities at different cut-off points using ROC analysis using SPSS. A p value of <0.05 was considered statistically significant in all analyses. The data were entered and cleaned by EpiInfo version 7.2.3.1 and then transferred to and analyzed by IBM Statistical Package for the Social Sciences (SPSS version 23.0 Inc., Chicago, Illinois). Descriptive statistics was used to determine the frequencies and percentages of the ADR occurrences and categories, drugs associated with the ADRs, and distribution of the predictors among patients with at least one hospital-acquired ADR and those without one. For both the derivational and validation studies, we determined the predictive ability of the PADROI model by fitting Receiver Operating Characteristic curves and calculating the area under the curve and sensitivities and specificities at different cut-off points using ROC analysis using SPSS. A p value of <0.05 was considered statistically significant in all analyses. Data Management and Quality Assurance The research assistants were trained by the principal investigator. Then a pre-test was conducted involving two patients at each ward. Data collection procedure was revised based on the experiences from the pilot test. The collected data were checked daily for completeness and consistency by the principal investigator. Confirmation and causality rating of ADRs were discussed among the team of experts to reach a consensus. Data were double-entered, cross-checked, and password-protected. The research assistants were trained by the principal investigator. Then a pre-test was conducted involving two patients at each ward. Data collection procedure was revised based on the experiences from the pilot test. The collected data were checked daily for completeness and consistency by the principal investigator. Confirmation and causality rating of ADRs were discussed among the team of experts to reach a consensus. Data were double-entered, cross-checked, and password-protected. Ethical Considerations This study was conducted according to the Declaration of Helsinki.38 The current study was approved by Institutional Review Board of Mbarara University of Science and Technology (Reference No. MUREC 1/7) and Uganda National Council for Science and Technology (Reference No. HS992ES). This study was conducted according to the Declaration of Helsinki.38 The current study was approved by Institutional Review Board of Mbarara University of Science and Technology (Reference No. MUREC 1/7) and Uganda National Council for Science and Technology (Reference No. HS992ES). Development and Scoring of the PADROI Model: The authors had previously conducted a systematic review on risk factors of ADRs among hospitalized older adults. It identified 15 independent risk factors reported by previous studies. The details of the systematic review were published elsewhere.5 Then we included the 15 previously reported risk factors and four more relevant independent variables, as independent variables in our derivational study conducted at MRRH from November 9, 2020 to May 7, 2021. This study, particularly, aimed at determining the risk factors of hospital-acquired ADRs in this group of patients. Details of the results were published elsewhere.22 In the current validation study, we aimed at developing a potential ADR-risk assessment tool from the data set of the derivational study, and then to validate it in a separate follow-on prospective observational study. The data on the 19 independent variables were extracted and were assessed for assumptions of logistic regressionand subjected to multivariable logistic regression. We first verified that there was no significant multicollinearity between any of the 13 independent variables. Moreover, both forward and backward conditional logistic regression similarly showed 8 out of the 13 independent variables to be significantly associated with the occurrence of hospital-acquired ADRs. Eight independent variables that were statistically significant and were retained in the final model included: age 60–75 (AOR = 1.97, 95% CI: 1.14–3.41; p = 0.015) compared with >75 years, previous ADR in 1 year (AOR = 2.43, 95% CI: 1.42–4.17; p = 0.001), PIM (AOR = 4.56, 95% CI: 2.70–7.70; p <0.001), polypharmacy (AOR = 3.29, 95% CI: 1.98–5.46; p <0.001), having CCI ≥6 (AOR = 8.47, 95% CI: 4.85–14.99; p <0.001), having heart failure (AOR = 2.83, 95% CI: 1.34–6.02; p = 0.007) or kidney disease (AOR = 1.95, 95% CI: 1.05–3.61; p = 0.034) and a hospital stay >10 days (AOR = 3.53, 95% CI: 1.89–6.61; p <0.001) compared with <5 days. Validation Study: Study Setting and Period This validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021. This validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021. Study Setting and Period: This validation cohort was done at Mbarara Regional Referral Hospital (MRRH); the largest referral hospital in south-western Uganda. The hospital consists of Emergency, Inpatient and Outpatient services for a population of about four million people in its catchment areas including the districts of Mbarara, Bushenyi, Ntungamo, Kiruhura, Ibanda, Buhweju, Rubirizi, Mitooma and Isingiro. The hospital also receives patients from farther districts of Kabale, Masaka, Fort Portal and neighboring countries such as Rwanda and Tanzania. The current study was conducted in Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of the hospital from July 5 to September 17, 2021. Study Design: A prospective cohort study was conducted to determine the prediction ability of the PADROI ADR prediction tool. Study Population: We included all inpatients 60 years and older who were admitted to Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards of MRRH during the study period and gave their informed consent. We excluded patients in coma or any level of unconsciousness as well as unstable psychiatric patients with mood disorders, schizophrenia and dementia who were on acute treatment. We also excluded patients who died or were discharged in less than 48 hours. Sample Size Determination: The sample size for this validation study was calculated using MedCalc® Software Version 19.2 (©1993–2020), that employed the standard formula for sample size determination for ROC studies.23 Taking a power of 90% and Type I error of 0.01, null hypothesis AUROC (the best available AUROC in older inpatients) of 0.74,10 and a target AUROC of 0.896 obtained from derivational cohort of the current project,22 48 positive cases (patients with ADR) and 48 negative cases (patients without ADR) are required for this ROC study. By adding 25% for potential drop-outs, 60 positive cases and 60 negative cases, totaling 120 patients, who are 60 years and older were required. Sampling Techniques: We employed a consecutive sampling technique involving all adults 60 years and older admitted at Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards. Accordingly, all older patients who passed the inclusion and exclusion criteria were consecutively recruited until the target sample was achieved for both the cases and controls. Data Collection: Three research assistants were involved in the data collection process. The principal investigator (senior clinical pharmacist) together with two physicians formed a team of experts. Firstly, an interviewer-based structured questionnaire was used to collect the data on participants’ characteristics, history of medical, surgical, gynecological and psychiatric conditions and previous drug uses, drug allergies, use of non-prescription and alternative medicines. Secondly, we reviewed patients’ medical files for diagnosis, comorbid conditions, previous adverse drug events, and diagnostic test results as soon as possible but within 48 hours. Thirdly, every day during their hospital stay except on Sundays, we updated the participants’ information after we interviewed them, conducted targeted physical assessments, and reviewed their medical files. Fourthly, we used the British National Formulary (BNP)24 and UpToDate25 to identify the known ADR profile of the drugs used. We employed the Beers Criteria26 to identify PIMs. Polypharmacy was defined as concurrent use of five or more drugs (active pharmaceutical ingredients).18,27–31 Lexicomp® was used to detect clinically significant drug-drug interactions. The medications suspected for ADRs were classified according to the WHO-Anatomical Therapeutic Chemical (ATC) classification.32 Charlson Comorbidity Index was used to rate the complexity and prognosis of the participants’ conditions.33 All adverse events suspected by the principal investigator and the physician were considered for ADR causality rating and discussion by the team. The body systems affected by ADRs were categorized using the International Statistical Classification of Diseases for Mortality and Morbidity Statistics (ICD-11 MMS).34 Identification of ADRs: We used Edwards and Aronson’s definition of ADR: ‘an appreciably harmful or unpleasant reaction, resulting from an intervention related to the use of a medicinal product, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the product.’35 ADRs were first suspected when there was a relationship between the time of drug administration and the onset and course of the adverse reaction while excluding other potential causes.36 Every day except on Sundays, all ADRs suspected by the principal investigator were discussed with the team of experts consisting of the principal investigator (senior clinical pharmacist) and two senior physicians to establish the drug causality of the suspected ADRs. The principal investigator then used the Naranjo ADR assessment scale37 to rate the causal relationship of an ADR and the suspected medication. ADRs were classified as definite (9–12 points), probable (5–8 points), possible (1–4 points), or doubtful (0 points). We excluded all doubtful ADRs whereas we endorsed those rated as possible, probable or definite as’ possible ADR’s once consensus was reached by the team of experts. When consensus was not reached, a majority decision of the three members of the team was applied. Data Analysis and Interpretation: The data were entered and cleaned by EpiInfo version 7.2.3.1 and then transferred to and analyzed by IBM Statistical Package for the Social Sciences (SPSS version 23.0 Inc., Chicago, Illinois). Descriptive statistics was used to determine the frequencies and percentages of the ADR occurrences and categories, drugs associated with the ADRs, and distribution of the predictors among patients with at least one hospital-acquired ADR and those without one. For both the derivational and validation studies, we determined the predictive ability of the PADROI model by fitting Receiver Operating Characteristic curves and calculating the area under the curve and sensitivities and specificities at different cut-off points using ROC analysis using SPSS. A p value of <0.05 was considered statistically significant in all analyses. Data Management and Quality Assurance: The research assistants were trained by the principal investigator. Then a pre-test was conducted involving two patients at each ward. Data collection procedure was revised based on the experiences from the pilot test. The collected data were checked daily for completeness and consistency by the principal investigator. Confirmation and causality rating of ADRs were discussed among the team of experts to reach a consensus. Data were double-entered, cross-checked, and password-protected. Ethical Considerations: This study was conducted according to the Declaration of Helsinki.38 The current study was approved by Institutional Review Board of Mbarara University of Science and Technology (Reference No. MUREC 1/7) and Uganda National Council for Science and Technology (Reference No. HS992ES). Results: Development and Scoring of the PADROI Risk Assessment Tool A score was assigned to each of the 8 included predictors by rounding off the respective Adjusted Odds Ratios (AORs) to the nearest whole number. The score for hospital stay was considered only when patients were hospitalized for 11 or more days. For patients who experienced an ADR, the hospital stay referred to the number of days before the first ADR occurred instead of the total duration of hospital stay. Likewise, only polypharmacy and PIM incidents that were experienced before the occurrence of an ADR were used in scoring of PADROI. Charlson Comorbidity Index (CCI) calculated before the first incident of ADR was considered. Previous ADRs included any possible suspected ADR that occurred within one year preceding the current hospitalization. Kidney disease includes any structural or functional renal problem diagnosed by a doctor as confirmed by laboratory tests, diagnostic tools or biopsy. The weight of the risk associated with each independent predictor was obtained by rounding off the respective AORs to the nearest whole number. The sum of weights of the eight-risk factors of the PADROI model totaled 29. We also developed an alternative model by assigning points to each predictor using the adjusted β coefficients rounded off to one decimal and then by multiplying each score by 10 (Table 1). Table 1PADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021No.PredictorAOR of the Variable’s CategoryPoints Assigned According to AORβ-adjePoints Assigned According to β-adj1Age 60–75 years1.972.00.772Previous ADR in 1 year2.432.00.993aPIM4.565.01.5154bPolypharmacy3.293.01.2125cCCI ≥68.478.02.1216Heart failure2.833.01.0107dKidney disease1.952.00.778Hospital stay ≥11 days3.534.01.313Total-___/29-___/94Notes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal. PADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021 Notes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal. A score was assigned to each of the 8 included predictors by rounding off the respective Adjusted Odds Ratios (AORs) to the nearest whole number. The score for hospital stay was considered only when patients were hospitalized for 11 or more days. For patients who experienced an ADR, the hospital stay referred to the number of days before the first ADR occurred instead of the total duration of hospital stay. Likewise, only polypharmacy and PIM incidents that were experienced before the occurrence of an ADR were used in scoring of PADROI. Charlson Comorbidity Index (CCI) calculated before the first incident of ADR was considered. Previous ADRs included any possible suspected ADR that occurred within one year preceding the current hospitalization. Kidney disease includes any structural or functional renal problem diagnosed by a doctor as confirmed by laboratory tests, diagnostic tools or biopsy. The weight of the risk associated with each independent predictor was obtained by rounding off the respective AORs to the nearest whole number. The sum of weights of the eight-risk factors of the PADROI model totaled 29. We also developed an alternative model by assigning points to each predictor using the adjusted β coefficients rounded off to one decimal and then by multiplying each score by 10 (Table 1). Table 1PADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021No.PredictorAOR of the Variable’s CategoryPoints Assigned According to AORβ-adjePoints Assigned According to β-adj1Age 60–75 years1.972.00.772Previous ADR in 1 year2.432.00.993aPIM4.565.01.5154bPolypharmacy3.293.01.2125cCCI ≥68.478.02.1216Heart failure2.833.01.0107dKidney disease1.952.00.778Hospital stay ≥11 days3.534.01.313Total-___/29-___/94Notes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal. PADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021 Notes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal. ROC Curve for the Derivational Study The AUROC curve for the PADROI model that was developed using adjusted odds ratios was shown to be 0.896 (0.869–0.923; at 95% CI; p <0.001) for the derivational study. This AUC is classified as’ very good or 0.800–0.899.’ The ROC curve was positioned at the top left for sensitivity which revealed its high prediction ability for ADRs (Figure 1). A cut-off point for PADROI score of 11 and above showed an optimal ADR risk prediction ability with a balanced sensitivity and specificity. At this point PADROI showed a sensitivity of 79.3% (true positive) and specificity of 86.1% (true negative). The mean PADROI scores were observed to be 15.5±5.8 and 5.9±4.6 for patients with ADR and those without respectively.Figure 1ROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study. ROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study. The AUROC curve was 0.897 (0.870–0.924 at 95% CI; p <0.001) for the PADROI tool that was developed using the adjusted β coefficients. Thus, the ADR risk prediction ability of the two tools was shown to be the same. Because of its simplicity (total scores of 29 compared with 94) and a smoother AUROC curve, we selected PADROI tool that was developed from the adjusted odds ratios for our validation study (Figures 2 and 3).Figure 2ROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study.Figure 3The comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study. ROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study. The comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study. The AUROC curve for the PADROI model that was developed using adjusted odds ratios was shown to be 0.896 (0.869–0.923; at 95% CI; p <0.001) for the derivational study. This AUC is classified as’ very good or 0.800–0.899.’ The ROC curve was positioned at the top left for sensitivity which revealed its high prediction ability for ADRs (Figure 1). A cut-off point for PADROI score of 11 and above showed an optimal ADR risk prediction ability with a balanced sensitivity and specificity. At this point PADROI showed a sensitivity of 79.3% (true positive) and specificity of 86.1% (true negative). The mean PADROI scores were observed to be 15.5±5.8 and 5.9±4.6 for patients with ADR and those without respectively.Figure 1ROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study. ROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study. The AUROC curve was 0.897 (0.870–0.924 at 95% CI; p <0.001) for the PADROI tool that was developed using the adjusted β coefficients. Thus, the ADR risk prediction ability of the two tools was shown to be the same. Because of its simplicity (total scores of 29 compared with 94) and a smoother AUROC curve, we selected PADROI tool that was developed from the adjusted odds ratios for our validation study (Figures 2 and 3).Figure 2ROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study.Figure 3The comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study. ROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study. The comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study. Validation Study The Participant Characteristics For this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021. The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021. For this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021. The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021. The Participant Characteristics For this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021. The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021. For this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021. The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021. ADR Occurrence and the Implicated Drugs Sixty-two patients experienced a total of 90 ADRs during the current hospital stay. Applying the Naranjo ADR causality scale, 68 (75.6%), 19 (21.1%), and 3 (3.3%) ADRs were rated as probable, possible, and definite ADRs, respectively. ADRs affecting the nervous (38, 42.2%), gastrointestinal (28, 31.1%), and cardiovascular systems (13, 14.5%) were the three most frequently experienced ADRs during the current hospitalization. Metronidazole (11/90), ceftriaxone (7/90), furosemide (6/90), tramadol (6/90) and morphine (6/90) were observed to be the five drugs most commonly suspected as the cause of the ADRs (Table 2). Table 2The Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021Category of ADRSpecific ADRsDrugs Suspected for the ADRsNervous system: 38 (42.2%)Dizziness (16), Drowsiness (15), Extrapyramidal reaction (2), Neuropathy (2), Headache (1), Lethargy (1), Metallic taste (1)Metronidazole (8), Ceftriaxone (4), Furosemide (4), Morphine (3), Metoclopramide (2), Haloperidol (2), Tramadol (2), Ondansetron (2), Tramadol and Metronidazole (2), Haloperidol and Carbamazepine (1), Levofloxacin (1), Meperidine (1), Phenytoin (1), Spironolactone (1), Isoniazid (1), Bicalutamide (1), Digoxin (1), Clonazepam (1)Gastrointestinal: 28 (31.1%)Constipation (9), Nausea (5), Nausea and vomiting (4), Abdominal pain (3), Diarrhea (3), Hiccups (1), Xerostomia (1), Gastritis (1), Mucositis (1)Ceftriaxone (3), Morphine (3), Capecitabine (2), Bisacodyl (2), Nifedipine (2), Docetaxel and Gemcitabine (2), Fluorouracil (2), Ondansetron (1), Amlodipine (1), Cisplatin (2), Codeine (1), Fentanyl (1), Furosemide (1), Metronidazole (1), Sevelamer (1), Tramadol (1), Vitamin C and Ferrous sulfate (1), Dexamethasone (1)Cardiovascular: 13 (14.5%)Tachycardia (4), Hypotension (3), Hypertension (3), Bradycardia (1), Fluid retention (1), Palpitation (1)Carbamazepine (2), Omeprazole (2), Sildenafil (1), Furosemide (1), Dexamethasone (1), Ciprofloxacin (1), Carvedilol (1), Trihexyphenidyl and Haloperidol (1), Vitamin K (1), Haloperidol and Fluoxetine (1), Imatinib (1)Endocrine & metabolic: 5 (5.6%)Hypoglycemia (4), Hyponatremia (1)Insulin (3), Metformin (1), Imatinib (1)Dermatologic: 2 (2.2%)Pruritus (2)Dexamethasone (1), Vancomycin (1)Eye/Otic: 2 (2.2%)Visual changes (1), Tinnitus (1)Tranexamic acid (1), Gentamycin and Tramadol (1)Hematologic and oncologic: 1 (1.1%)Anemia (1)Cisplatin and Fluorouracil (1)Renal: 1 (1.1%)Renal insufficiency (1)Cisplatin (1) The Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021 Sixty-two patients experienced a total of 90 ADRs during the current hospital stay. Applying the Naranjo ADR causality scale, 68 (75.6%), 19 (21.1%), and 3 (3.3%) ADRs were rated as probable, possible, and definite ADRs, respectively. ADRs affecting the nervous (38, 42.2%), gastrointestinal (28, 31.1%), and cardiovascular systems (13, 14.5%) were the three most frequently experienced ADRs during the current hospitalization. Metronidazole (11/90), ceftriaxone (7/90), furosemide (6/90), tramadol (6/90) and morphine (6/90) were observed to be the five drugs most commonly suspected as the cause of the ADRs (Table 2). Table 2The Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021Category of ADRSpecific ADRsDrugs Suspected for the ADRsNervous system: 38 (42.2%)Dizziness (16), Drowsiness (15), Extrapyramidal reaction (2), Neuropathy (2), Headache (1), Lethargy (1), Metallic taste (1)Metronidazole (8), Ceftriaxone (4), Furosemide (4), Morphine (3), Metoclopramide (2), Haloperidol (2), Tramadol (2), Ondansetron (2), Tramadol and Metronidazole (2), Haloperidol and Carbamazepine (1), Levofloxacin (1), Meperidine (1), Phenytoin (1), Spironolactone (1), Isoniazid (1), Bicalutamide (1), Digoxin (1), Clonazepam (1)Gastrointestinal: 28 (31.1%)Constipation (9), Nausea (5), Nausea and vomiting (4), Abdominal pain (3), Diarrhea (3), Hiccups (1), Xerostomia (1), Gastritis (1), Mucositis (1)Ceftriaxone (3), Morphine (3), Capecitabine (2), Bisacodyl (2), Nifedipine (2), Docetaxel and Gemcitabine (2), Fluorouracil (2), Ondansetron (1), Amlodipine (1), Cisplatin (2), Codeine (1), Fentanyl (1), Furosemide (1), Metronidazole (1), Sevelamer (1), Tramadol (1), Vitamin C and Ferrous sulfate (1), Dexamethasone (1)Cardiovascular: 13 (14.5%)Tachycardia (4), Hypotension (3), Hypertension (3), Bradycardia (1), Fluid retention (1), Palpitation (1)Carbamazepine (2), Omeprazole (2), Sildenafil (1), Furosemide (1), Dexamethasone (1), Ciprofloxacin (1), Carvedilol (1), Trihexyphenidyl and Haloperidol (1), Vitamin K (1), Haloperidol and Fluoxetine (1), Imatinib (1)Endocrine & metabolic: 5 (5.6%)Hypoglycemia (4), Hyponatremia (1)Insulin (3), Metformin (1), Imatinib (1)Dermatologic: 2 (2.2%)Pruritus (2)Dexamethasone (1), Vancomycin (1)Eye/Otic: 2 (2.2%)Visual changes (1), Tinnitus (1)Tranexamic acid (1), Gentamycin and Tramadol (1)Hematologic and oncologic: 1 (1.1%)Anemia (1)Cisplatin and Fluorouracil (1)Renal: 1 (1.1%)Renal insufficiency (1)Cisplatin (1) The Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021 The Distribution of ADRs Among Patients with Different Risk Factors Ninety-three (75.0%) of the patients were 60–75 years old; out of which 48 (51.6%) experienced at least one ADR. Among 98 (79.0%) patients who stayed in the hospital for 11 and more days, 52 (53.1%) incurred ADR. Similarly, among the 53 (42.7%) patients who had experienced an ADR in the previous one year, 33 (62.3%) experienced ADR during the current admission. Twenty-six (21.0%) of them had been diagnosed with a renal disease, 21 (16.9%) patients had heart failure and 37 (29.8%) had a CCI≥6. Another 45 (36.3%) patients took at least one PIM and 76 (61.3%) of the patients were on polypharmacy; out of which 37 (82.2%) and 49 (64.5%) experienced ADR respectively (Table 3). Table 3The Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021VariablesCategoriesHospital Acquired ADRNoYesTotal (N = 124)Frequency (%)Frequency (%)Frequency (%)Age category60–7545 (48.4)48 (51.6)93 (75.0)>7517 (54.8)14 (45.2)31 (25.0)Hospital stay in days≤1016 (61.5)10 (38.5)26 (21.0)≥1146 (46.9)52 (53.1)98 (79.0)Previous ADR in 1 yearNo42 (59.2)29 (40.8)71 (57.3)Yes20 (37.7)33 (62.3)53 (42.7)Renal diseaseNo54 (55.1)44 (44.9)98 (79.0)Yes8 (30.8)18 (69.2)26 (21.0)Heart failureNo55 (53.4)48 (46.6)103 (83.1)Yes7 (33.3)14 (66.7)21 (16.9)CCI category≤560 (69.0)27 (31.0)87 (70.2)≥62 (5.4)35 (94.6)37 (29.8)PIMNo54 (68.4)25 (31.6)79 (63.7)Yes8 (17.8)37 (82.2)45 (36.3)PolypharmacyNo35 (72.9)13 (27.1)48 (38.7)Yes27 (35.5)49 (64.5)76 (61.3) The Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021 Ninety-three (75.0%) of the patients were 60–75 years old; out of which 48 (51.6%) experienced at least one ADR. Among 98 (79.0%) patients who stayed in the hospital for 11 and more days, 52 (53.1%) incurred ADR. Similarly, among the 53 (42.7%) patients who had experienced an ADR in the previous one year, 33 (62.3%) experienced ADR during the current admission. Twenty-six (21.0%) of them had been diagnosed with a renal disease, 21 (16.9%) patients had heart failure and 37 (29.8%) had a CCI≥6. Another 45 (36.3%) patients took at least one PIM and 76 (61.3%) of the patients were on polypharmacy; out of which 37 (82.2%) and 49 (64.5%) experienced ADR respectively (Table 3). Table 3The Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021VariablesCategoriesHospital Acquired ADRNoYesTotal (N = 124)Frequency (%)Frequency (%)Frequency (%)Age category60–7545 (48.4)48 (51.6)93 (75.0)>7517 (54.8)14 (45.2)31 (25.0)Hospital stay in days≤1016 (61.5)10 (38.5)26 (21.0)≥1146 (46.9)52 (53.1)98 (79.0)Previous ADR in 1 yearNo42 (59.2)29 (40.8)71 (57.3)Yes20 (37.7)33 (62.3)53 (42.7)Renal diseaseNo54 (55.1)44 (44.9)98 (79.0)Yes8 (30.8)18 (69.2)26 (21.0)Heart failureNo55 (53.4)48 (46.6)103 (83.1)Yes7 (33.3)14 (66.7)21 (16.9)CCI category≤560 (69.0)27 (31.0)87 (70.2)≥62 (5.4)35 (94.6)37 (29.8)PIMNo54 (68.4)25 (31.6)79 (63.7)Yes8 (17.8)37 (82.2)45 (36.3)PolypharmacyNo35 (72.9)13 (27.1)48 (38.7)Yes27 (35.5)49 (64.5)76 (61.3) The Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021 Receiver Operating Characteristic (ROC) Curve of the Validation Cohort The ROC curve for this validation study is positioned at top-left side showing a good prediction ability of the tool for hospital-acquired ADRs in hospitalized older adults. The current AUROC, which is the average value of the sensitivity for a test over all possible values of specificity or vice versa,9 of 0.917 (0.864–0.971 at 95% CI; p <0.001) is categorized as excellent (AUC >0.900). Overall, the PADROI tool has correctly predicted 91.7% of those who experienced an ADR but falsely classified 8.3% of the patients to be at no risk of incurring an ADR (Figure 5). The mean PADROI scores for participants with ADR and without ADR was shown to be 15.4±5.3 and 5.9±3.6, respectively.Figure 5The ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda. The ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda. The ROC curve for this validation study is positioned at top-left side showing a good prediction ability of the tool for hospital-acquired ADRs in hospitalized older adults. The current AUROC, which is the average value of the sensitivity for a test over all possible values of specificity or vice versa,9 of 0.917 (0.864–0.971 at 95% CI; p <0.001) is categorized as excellent (AUC >0.900). Overall, the PADROI tool has correctly predicted 91.7% of those who experienced an ADR but falsely classified 8.3% of the patients to be at no risk of incurring an ADR (Figure 5). The mean PADROI scores for participants with ADR and without ADR was shown to be 15.4±5.3 and 5.9±3.6, respectively.Figure 5The ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda. The ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda. Sensitivity and Specificity of the ROC at Different Cut-off Values for PADROI As the scores of the PADROI increased from 0 to 10, the AUROC increased from 0.516 to 0.887 and its sensitivity declined from 100% to 87.1% and the specificity increased from 3.2% to 90.3%. Beyond the PADROI scores of 10, however, the AUROC did not show increase and then began to decline as the sensitivity was declining. Thus, a cut-off point for PADROI scores of ≥10 points showed an optimal prediction ability where it correctly predicted 54 (PADROI ≥10) out of the 62 patients who actually experienced an ADR (sensitivity of 87.1%) whereas 56 (PADROI <10) out of the 62 patients without ADR were correctly classified as not at risk of ADR (specificity = 90.3%) (Table 4). Table 4The Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, UgandaPADROI ScoresHospital Acquired ADRAUCSensitivity (%)Specificity (%)No (N = 62)Yes (N = 62)Total (N = 124)Frequency (%)Frequency (%)Frequency (%)Greater or equal to 160 (49.2)62 (50.8)122 (98.4%)0.5161003.2Greater or equal to 540 (40.0)60 (60.0)100 (80.6)0.66196.835.5Greater or equal to 814 (19.7)57 (80.3)71 (57.3)0.84791.977.4Greater or equal to 106 (10.0)54 (90.0)60 (48.4)0.88787.190.3Greater or equal to 124 (7.1)52 (92.9)56 (45.2)0.88783.993.5Greater or equal to 152 (5.1)37 (94.9)39 (31.5)0.78259.796.8Greater or equal to 200 (0.0)15 (100.0)15 (12.1)0.62124.2100Greater or equal to 250 (0.0)1 (100.0)1 (0.8)0.5081.6100Total6262124***Notes: *Not applicable. Bold: Recommended cut-off point. The Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, Uganda Notes: *Not applicable. Bold: Recommended cut-off point. As the scores of the PADROI increased from 0 to 10, the AUROC increased from 0.516 to 0.887 and its sensitivity declined from 100% to 87.1% and the specificity increased from 3.2% to 90.3%. Beyond the PADROI scores of 10, however, the AUROC did not show increase and then began to decline as the sensitivity was declining. Thus, a cut-off point for PADROI scores of ≥10 points showed an optimal prediction ability where it correctly predicted 54 (PADROI ≥10) out of the 62 patients who actually experienced an ADR (sensitivity of 87.1%) whereas 56 (PADROI <10) out of the 62 patients without ADR were correctly classified as not at risk of ADR (specificity = 90.3%) (Table 4). Table 4The Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, UgandaPADROI ScoresHospital Acquired ADRAUCSensitivity (%)Specificity (%)No (N = 62)Yes (N = 62)Total (N = 124)Frequency (%)Frequency (%)Frequency (%)Greater or equal to 160 (49.2)62 (50.8)122 (98.4%)0.5161003.2Greater or equal to 540 (40.0)60 (60.0)100 (80.6)0.66196.835.5Greater or equal to 814 (19.7)57 (80.3)71 (57.3)0.84791.977.4Greater or equal to 106 (10.0)54 (90.0)60 (48.4)0.88787.190.3Greater or equal to 124 (7.1)52 (92.9)56 (45.2)0.88783.993.5Greater or equal to 152 (5.1)37 (94.9)39 (31.5)0.78259.796.8Greater or equal to 200 (0.0)15 (100.0)15 (12.1)0.62124.2100Greater or equal to 250 (0.0)1 (100.0)1 (0.8)0.5081.6100Total6262124***Notes: *Not applicable. Bold: Recommended cut-off point. The Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, Uganda Notes: *Not applicable. Bold: Recommended cut-off point. Receiver Operating Characteristic (ROC) Curve of the Combined Cohort The AUROC for the combined cohort was observed to be 0.900 (0.876–0.924 at 95% CI; p <0.001). It showed a sensitivity of 78.3% and a specificity of 89.4% at a cut-off PADROI point of 11 and above (Figure 6).Figure 6The ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda. The ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda. The AUROC for the combined cohort was observed to be 0.900 (0.876–0.924 at 95% CI; p <0.001). It showed a sensitivity of 78.3% and a specificity of 89.4% at a cut-off PADROI point of 11 and above (Figure 6).Figure 6The ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda. The ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda. Development and Scoring of the PADROI Risk Assessment Tool: A score was assigned to each of the 8 included predictors by rounding off the respective Adjusted Odds Ratios (AORs) to the nearest whole number. The score for hospital stay was considered only when patients were hospitalized for 11 or more days. For patients who experienced an ADR, the hospital stay referred to the number of days before the first ADR occurred instead of the total duration of hospital stay. Likewise, only polypharmacy and PIM incidents that were experienced before the occurrence of an ADR were used in scoring of PADROI. Charlson Comorbidity Index (CCI) calculated before the first incident of ADR was considered. Previous ADRs included any possible suspected ADR that occurred within one year preceding the current hospitalization. Kidney disease includes any structural or functional renal problem diagnosed by a doctor as confirmed by laboratory tests, diagnostic tools or biopsy. The weight of the risk associated with each independent predictor was obtained by rounding off the respective AORs to the nearest whole number. The sum of weights of the eight-risk factors of the PADROI model totaled 29. We also developed an alternative model by assigning points to each predictor using the adjusted β coefficients rounded off to one decimal and then by multiplying each score by 10 (Table 1). Table 1PADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021No.PredictorAOR of the Variable’s CategoryPoints Assigned According to AORβ-adjePoints Assigned According to β-adj1Age 60–75 years1.972.00.772Previous ADR in 1 year2.432.00.993aPIM4.565.01.5154bPolypharmacy3.293.01.2125cCCI ≥68.478.02.1216Heart failure2.833.01.0107dKidney disease1.952.00.778Hospital stay ≥11 days3.534.01.313Total-___/29-___/94Notes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal. PADROI ADR Risk Prediction Score Form Derived from a Cohort of Ugandan Older Adults from July to September 2021 Notes: aPIM: Potentially inappropriate medication using 2020 Beer’s criteria; bPolypharmacy: The use of five or more different active ingredients of medicines; cCCI: Charlson Comorbidity index for 10 years survival; dKidney disease: any documented structural renal condition or eGFR<90 mL/min/1.73 m2; eAdjusted coefficients after being rounded off to one decimal. ROC Curve for the Derivational Study: The AUROC curve for the PADROI model that was developed using adjusted odds ratios was shown to be 0.896 (0.869–0.923; at 95% CI; p <0.001) for the derivational study. This AUC is classified as’ very good or 0.800–0.899.’ The ROC curve was positioned at the top left for sensitivity which revealed its high prediction ability for ADRs (Figure 1). A cut-off point for PADROI score of 11 and above showed an optimal ADR risk prediction ability with a balanced sensitivity and specificity. At this point PADROI showed a sensitivity of 79.3% (true positive) and specificity of 86.1% (true negative). The mean PADROI scores were observed to be 15.5±5.8 and 5.9±4.6 for patients with ADR and those without respectively.Figure 1ROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study. ROC curve of PADROI tool that was developed using adjusted odds ratios for the derivational study. The AUROC curve was 0.897 (0.870–0.924 at 95% CI; p <0.001) for the PADROI tool that was developed using the adjusted β coefficients. Thus, the ADR risk prediction ability of the two tools was shown to be the same. Because of its simplicity (total scores of 29 compared with 94) and a smoother AUROC curve, we selected PADROI tool that was developed from the adjusted odds ratios for our validation study (Figures 2 and 3).Figure 2ROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study.Figure 3The comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study. ROC curve of PADROI tool that was developed using adjusted β coefficients for the derivational study. The comparison of ROC curves of PADROI tools that were developed using adjusted odds ratios and using β coefficients for the derivational study. Validation Study: The Participant Characteristics For this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021. The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021. For this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021. The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021. The Participant Characteristics: For this validation cohort, we studied 124 patients consisting of 70 females and 54 males; 62 patients with ADRs and 62 patients without ADRs (Table 1). The median age of the patients was 67 (62–75) ranging between 60 and 95 years. Fifty-one of the 124 patients were admitted at the Medical ward followed by 30 at Surgery wards (Figure 4).Figure 4The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021. The gender and ward distribution of older patients hospitalized at MRRH from July to September 2021. ADR Occurrence and the Implicated Drugs: Sixty-two patients experienced a total of 90 ADRs during the current hospital stay. Applying the Naranjo ADR causality scale, 68 (75.6%), 19 (21.1%), and 3 (3.3%) ADRs were rated as probable, possible, and definite ADRs, respectively. ADRs affecting the nervous (38, 42.2%), gastrointestinal (28, 31.1%), and cardiovascular systems (13, 14.5%) were the three most frequently experienced ADRs during the current hospitalization. Metronidazole (11/90), ceftriaxone (7/90), furosemide (6/90), tramadol (6/90) and morphine (6/90) were observed to be the five drugs most commonly suspected as the cause of the ADRs (Table 2). Table 2The Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021Category of ADRSpecific ADRsDrugs Suspected for the ADRsNervous system: 38 (42.2%)Dizziness (16), Drowsiness (15), Extrapyramidal reaction (2), Neuropathy (2), Headache (1), Lethargy (1), Metallic taste (1)Metronidazole (8), Ceftriaxone (4), Furosemide (4), Morphine (3), Metoclopramide (2), Haloperidol (2), Tramadol (2), Ondansetron (2), Tramadol and Metronidazole (2), Haloperidol and Carbamazepine (1), Levofloxacin (1), Meperidine (1), Phenytoin (1), Spironolactone (1), Isoniazid (1), Bicalutamide (1), Digoxin (1), Clonazepam (1)Gastrointestinal: 28 (31.1%)Constipation (9), Nausea (5), Nausea and vomiting (4), Abdominal pain (3), Diarrhea (3), Hiccups (1), Xerostomia (1), Gastritis (1), Mucositis (1)Ceftriaxone (3), Morphine (3), Capecitabine (2), Bisacodyl (2), Nifedipine (2), Docetaxel and Gemcitabine (2), Fluorouracil (2), Ondansetron (1), Amlodipine (1), Cisplatin (2), Codeine (1), Fentanyl (1), Furosemide (1), Metronidazole (1), Sevelamer (1), Tramadol (1), Vitamin C and Ferrous sulfate (1), Dexamethasone (1)Cardiovascular: 13 (14.5%)Tachycardia (4), Hypotension (3), Hypertension (3), Bradycardia (1), Fluid retention (1), Palpitation (1)Carbamazepine (2), Omeprazole (2), Sildenafil (1), Furosemide (1), Dexamethasone (1), Ciprofloxacin (1), Carvedilol (1), Trihexyphenidyl and Haloperidol (1), Vitamin K (1), Haloperidol and Fluoxetine (1), Imatinib (1)Endocrine & metabolic: 5 (5.6%)Hypoglycemia (4), Hyponatremia (1)Insulin (3), Metformin (1), Imatinib (1)Dermatologic: 2 (2.2%)Pruritus (2)Dexamethasone (1), Vancomycin (1)Eye/Otic: 2 (2.2%)Visual changes (1), Tinnitus (1)Tranexamic acid (1), Gentamycin and Tramadol (1)Hematologic and oncologic: 1 (1.1%)Anemia (1)Cisplatin and Fluorouracil (1)Renal: 1 (1.1%)Renal insufficiency (1)Cisplatin (1) The Types and Categories of ADRs Detected and the Implicated Drugs Among Older Patients Hospitalized at MRRH from July to September 2021 The Distribution of ADRs Among Patients with Different Risk Factors: Ninety-three (75.0%) of the patients were 60–75 years old; out of which 48 (51.6%) experienced at least one ADR. Among 98 (79.0%) patients who stayed in the hospital for 11 and more days, 52 (53.1%) incurred ADR. Similarly, among the 53 (42.7%) patients who had experienced an ADR in the previous one year, 33 (62.3%) experienced ADR during the current admission. Twenty-six (21.0%) of them had been diagnosed with a renal disease, 21 (16.9%) patients had heart failure and 37 (29.8%) had a CCI≥6. Another 45 (36.3%) patients took at least one PIM and 76 (61.3%) of the patients were on polypharmacy; out of which 37 (82.2%) and 49 (64.5%) experienced ADR respectively (Table 3). Table 3The Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021VariablesCategoriesHospital Acquired ADRNoYesTotal (N = 124)Frequency (%)Frequency (%)Frequency (%)Age category60–7545 (48.4)48 (51.6)93 (75.0)>7517 (54.8)14 (45.2)31 (25.0)Hospital stay in days≤1016 (61.5)10 (38.5)26 (21.0)≥1146 (46.9)52 (53.1)98 (79.0)Previous ADR in 1 yearNo42 (59.2)29 (40.8)71 (57.3)Yes20 (37.7)33 (62.3)53 (42.7)Renal diseaseNo54 (55.1)44 (44.9)98 (79.0)Yes8 (30.8)18 (69.2)26 (21.0)Heart failureNo55 (53.4)48 (46.6)103 (83.1)Yes7 (33.3)14 (66.7)21 (16.9)CCI category≤560 (69.0)27 (31.0)87 (70.2)≥62 (5.4)35 (94.6)37 (29.8)PIMNo54 (68.4)25 (31.6)79 (63.7)Yes8 (17.8)37 (82.2)45 (36.3)PolypharmacyNo35 (72.9)13 (27.1)48 (38.7)Yes27 (35.5)49 (64.5)76 (61.3) The Distribution of ADRs Among Hospitalized Elderly Patients with Different Independent Predictors and at MRRH, Uganda from July to September, 2021 Receiver Operating Characteristic (ROC) Curve of the Validation Cohort: The ROC curve for this validation study is positioned at top-left side showing a good prediction ability of the tool for hospital-acquired ADRs in hospitalized older adults. The current AUROC, which is the average value of the sensitivity for a test over all possible values of specificity or vice versa,9 of 0.917 (0.864–0.971 at 95% CI; p <0.001) is categorized as excellent (AUC >0.900). Overall, the PADROI tool has correctly predicted 91.7% of those who experienced an ADR but falsely classified 8.3% of the patients to be at no risk of incurring an ADR (Figure 5). The mean PADROI scores for participants with ADR and without ADR was shown to be 15.4±5.3 and 5.9±3.6, respectively.Figure 5The ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda. The ROC curve of the validation study among older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda. Sensitivity and Specificity of the ROC at Different Cut-off Values for PADROI: As the scores of the PADROI increased from 0 to 10, the AUROC increased from 0.516 to 0.887 and its sensitivity declined from 100% to 87.1% and the specificity increased from 3.2% to 90.3%. Beyond the PADROI scores of 10, however, the AUROC did not show increase and then began to decline as the sensitivity was declining. Thus, a cut-off point for PADROI scores of ≥10 points showed an optimal prediction ability where it correctly predicted 54 (PADROI ≥10) out of the 62 patients who actually experienced an ADR (sensitivity of 87.1%) whereas 56 (PADROI <10) out of the 62 patients without ADR were correctly classified as not at risk of ADR (specificity = 90.3%) (Table 4). Table 4The Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, UgandaPADROI ScoresHospital Acquired ADRAUCSensitivity (%)Specificity (%)No (N = 62)Yes (N = 62)Total (N = 124)Frequency (%)Frequency (%)Frequency (%)Greater or equal to 160 (49.2)62 (50.8)122 (98.4%)0.5161003.2Greater or equal to 540 (40.0)60 (60.0)100 (80.6)0.66196.835.5Greater or equal to 814 (19.7)57 (80.3)71 (57.3)0.84791.977.4Greater or equal to 106 (10.0)54 (90.0)60 (48.4)0.88787.190.3Greater or equal to 124 (7.1)52 (92.9)56 (45.2)0.88783.993.5Greater or equal to 152 (5.1)37 (94.9)39 (31.5)0.78259.796.8Greater or equal to 200 (0.0)15 (100.0)15 (12.1)0.62124.2100Greater or equal to 250 (0.0)1 (100.0)1 (0.8)0.5081.6100Total6262124***Notes: *Not applicable. Bold: Recommended cut-off point. The Sensitivities and Specificities at Different Cut-off Points of PADROI Scores in Predicting ADR Among Older Adults Hospitalized at MRRH from July to September, 2021, Mbarara, Uganda Notes: *Not applicable. Bold: Recommended cut-off point. Receiver Operating Characteristic (ROC) Curve of the Combined Cohort: The AUROC for the combined cohort was observed to be 0.900 (0.876–0.924 at 95% CI; p <0.001). It showed a sensitivity of 78.3% and a specificity of 89.4% at a cut-off PADROI point of 11 and above (Figure 6).Figure 6The ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda. The ROC curve of the combined cohort of older adults hospitalized at MRRH from July to September, 2021, Mbarara, Uganda. Discussion: Identification of the predictors of ADR occurrence in hospitalized older patients is crucial to develop a strong ADR-risk prediction tool.20,21 A systematic review of previously reported risk factors and a subsequent prospective derivational study were conducted to determine the risk factors of hospital-acquired ADRs in older adults. In the current study, we developed an ADR-risk prediction tool for older inpatients using adjusted odds ratios in the final model of multivariable logistic regression, and an alternative tool using the adjusted β coefficients of the same model. The two potential ADR-prediction tools showed the same prediction ability; AUROC curves of 0.896 and 0.897, respectively. However, because of its simplicity (total scores out of 29 compared with out of 94) and a smoother AUROC curve, we selected the PADROI risk assessment tool that was developed from the adjusted odds ratios for our validation study. The PADROI’s AUROC curve of 0.896 of the derivational cohort is classified as’ very good or 0.800–0.899.’ The ROC curve was positioned at the top left for sensitivity which revealed its high prediction ability for ADRs. The current AUC is considerably higher than those reported during previous derivational studies including 0.623 in Irish older adults,18 0.74 in UK older inpatients,10 0.71 in Italian older patients,17 and 0.627 in Japanese older patients.39 While applying PADROI to the derivational cohort, a cut-off score of 11 and above out of 29 showed an optimal prediction ability for hospital-acquired ADRs in older adults. At this point, a sensitivity of 79.3% (true positive) and specificity of 86.1% (true negative) were observed. A cutoff point with a higher specificity compared with sensitivity (86.1% vs 79.3%) was preferred though falsely ruling out ADR risk has more deleterious effects on the patient. However, a sensitivity of about 80% is also quite adequate to minimize the number of cases falsely predicted to be at no risk. Higher specificity, in turn, enables to avoid unnecessary intensive monitoring for ADRs and needless avoidance of some medications though the ADR is not actually incurred. Unlike the previous similar ADR prediction studies that were shown to be unsuitable for a wide clinical use because of their AUROC values of less than 0.80,7 PADROI score showed a very good AUROC and was potentially applicable for wider clinical use. Thus, we carried out a separate validation cohort for external validation. In the validation study, 62 patients experienced a total of 90 possible ADRs during the current hospital stay. ADRs affecting the nervous system (38/90), gastrointestinal (28/90) and cardiovascular (13/90) systems were the three most frequently experienced ADRs during the current hospitalization. The proportion of ADRs affecting the nervous system, however, is considerably higher than that of the derivational study. This can be explained by the inclusion of psychiatry wards in the validation cohort. On the other hand, these results are comparable with findings from previous studies that had shown ADRs affecting gastrointestinal tract,39–43 nervous system30,39,43 and cardiovascular system30,41 to be the commonest types in this population. Patients in psychiatry wards experienced more ADRs affecting the nervous system. Metronidazole (11/90), ceftriaxone (7/90), furosemide (6/90), tramadol (6/90) and morphine (6/90) were observed to be the five drugs most commonly suspected as the cause of the ADRs. These results are comparable with the derivational cohort and other previous studies that showed antimicrobials and drugs acting on the nervous system and cardiovascular drugs to be the most frequent culprit medications in hospital-acquired ADRs in older adults.40,43–47 Consistent with previous studies, the proportion of hospital-acquired ADR was higher in patients aged 60–75 years compared with those older than 75;41,42,48,49 among those who were hospitalized for 11 and more days, in patients with a history of an ADR in the previous one year,17,50 in those with a renal disease,18,22,30 in patients with heart failure17,18,51 and those with a CCI ≥6,17,18,48 in older patients that took at least one PIM18,30 and those on polypharmacy10,22,45,50 compared with their controls. The ROC curve for the current validation study is also positioned at the top-left side showing high prediction ability of the tool for hospital-acquired ADRs in hospitalized older adults. AUROC measures the probability that’ a patient with an ADR had a higher predicted probability than a patient without an ADR.’ An AUROC of 1 represents a perfect model whilst 0.5 is random concordance.10−12 The current AUROC of 0.917 (0.864–0.971 at 95% CI; p <0.001) is categorized as excellent (AUROC >0.900). AUROC is the average value of the sensitivity for a test over all possible values of specificity or vice versa.9 Overall, the PADROI tool has correctly predicted 91.7% of those who experienced an ADR but falsely classified 8.3% of the patients to be at no risk of incurring an ADR. Sensitivity is the ability of a screening tool to correctly identify people who have a condition whereas specificity is its ability to correctly identify people who do not have the condition.13 During the validation cohort PADROI scores of 10 and above showed the best-balanced sensitivity and specificity where it correctly predicted 54 (PADROI ≥10) out of the 62 patients who actually experienced an ADR to be at risk (sensitivity of 87.1%) and 56 (PADROI <10) out of the 62 patients without ADR were correctly classified to be at no risk of ADR (specificity = 90.3%). Thus only 12.9% and 9.7% of the patients were wrongly classified to be at no risk of an ADR and at a risk of ADR respectively. The current sensitivity and specificity of 87.1% and 90.3% are considerably higher than sensitivities and specificities of 80% and 55% in BADRI model from a UK study,10 68% and 65% in GerontoNet ADR Risk Score from an Italian cohort.17 The AUROC of the PADROI’s validation study is significantly higher than 0.592 from an Irish validation cohort,18 0.61 from a multi-centered observational study in Europe,52 0.623 in Ireland,30 0.70 in an Italian study,17 and 0.73 from another validation study of European patients.10 Our combined cohort, similarly, showed an excellent AUROC of 0.900 (0.876–0.924 at 95% CI; p <0.001) and a sensitivity of 78.3% and a specificity of 89.4% at a cut-off PADROI score of 11/29 and above. This is significantly higher compared with an AUROC of 0.566 reported by the combined cohort from an Irish study that applied the GerontoNet ADR risk scale to its combined cohorts.18 The possible explanations for the current higher AUROC include: higher number of variables studied in derivational cohort and thus more comprehensive final model as compared with the previous studies that consisted of 4–6 variables10,17,30 and the use of two separate prospective cohorts for derivational and validation studies as compared with ADRROP18 and GerontoNet17 models which were retrospectively developed from patient databases. Moreover, the lower AUROC curve from previous studies might be attributed to their inclusion of other study settings or different countries10,17,30 during the validation study unlike the PADROI model that was developed and validated in the same setting. Moreover, our study included all possible, probable and definite ADRs unlike O’Mahony et al. that excluded possible ADRs.30 This might explain the lower sensitivity (62%) reported by the latter. The current validation study’s strengths include its power of 90%, consistency in ADR definition, ADR identification procedures, employing validated standard data collection tools, and engaging a multidisciplinary team consisting of doctors and pharmacists in an attempt to improve the accuracy of ADR identification and characterization. However, the study has some important limitations to be taken into consideration including: the model being driven from a single-centered study in a low income setting, external validation involving a single health facility that was the same as one involved in the derivational study and a short study period of the validation cohort. Accordingly, the types of medications used, the common medical conditions, and the health professional and health facility factors might differ from the conditions in other health facilities in the region and elsewhere. This might potentially limit its application in wider clinical uses and thus, we recommend larger and multi-centered cohorts of older adults to be undertaken applying this greatly promising model in low- and middle-income countries as well as high-income countries. Conclusion: A prospective derivational study was conducted to develop an ADR-risk prediction tool named as PADROI among older inpatients. The PADROI model achieved a very good AUROC in derivational cohort, and excellent AUROC curve in validation cohort as well as in combined cohort. The PADROI model demonstrated a specificity of 90.3% and a sensitivity of 87.1%. The current AUROC curve, sensitivity and specificity were all considerably higher than those achieved by previous studies. We recommend a multi-centered validation study to evaluate the performance and impact the PADROI tool in clinical practice.
Background: Adverse drug reactions (ADR) detection and prediction methods in hospitalized older adults remain imprecise. The identification of the risk factors for ADRs in this group of patients is crucial to develop plausible prediction models. Methods: We had previously conducted a derivational study that aimed to determine the risk factors of ADRs in hospitalized older adults. We developed the PADROI model as a potential ADR risk assessment tool incorporating 8 predictors each given a score by rounding off the respective adjusted odds ratios (AORs) to the nearest whole number. Subsequently, we conducted another prospective cohort among adults aged 60 years and older admitted to Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards at Mbarara Regional Referral Hospital (MRRH) from July 5 to September 17, 2021. Results: A total of 124 participants, 70 females and 54 males aged 60-95 years, were included in this validation cohort; 62 of them experienced 90 ADRs. When applied to the derivational cohort, the area under receiver operating characteristic curve (AUROC) for the PADROI model was shown to be 0.896 (0.869-0.923; at 95% CI). In the validation study, AUROC of PADROI was 0.917 (0.864-0.971 at 95% CI; p < 0.001). Overall, PADROI correctly predicted 91.7% of those who experienced an ADR. Conclusions: Using the adjusted odds ratios from our derivational cohort, we developed an ADR prediction tool (PADROI) that achieved an excellent AUROC (0.917), high sensitivity (87.1%) and specificity (90.3%). The current model demonstrated a high potential for clinical applicability which can be strengthened if similar results are reproduced in larger and multi-centered studies.
Introduction: The occurrence of adverse drug reactions (ADRs) continues to substantially contribute to the morbidity, mortality and high health care cost in the older population.1–4 The prevalence of ADRs among hospitalized older adults ranged from 6–46% in high income countries (HICs) and from 10.7–64.0% in low- and middle-income countries (LMICs). The majority (60%) of all ADRs in this patient population are potentially preventable.5 Current recommended practice for detecting and predicting ADRs in the elderly comprises thorough documentation and consistent evaluation of prescribed and over-the-counter medications through standardized medication reconciliation.6 ADR detection and prediction methods in hospitalized older adults remain imprecise. Focusing on high-risk medications and patients with multi-morbidity may advance prediction of adverse drug reaction.7 Obtaining a good ADR risk-prediction model usually occurs over four stages; first, identification of predictors of the phenomenon; second, validation that involves testing the potential model performance; third, evaluation of impact and usefulness in routine clinical practice; and lastly, implementation to assess acceptability and performance in real-life clinical practice.8 Area Under the Receiver Operating Characteristic Curves (AUROC) is the average value of the sensitivity for a test over all possible values of specificity or vice versa.9 In screening tests, sensitivity, the true positive rate, refers to the proportion of people that are correctly predicted to have a condition out of all people who actually have it. A sensitivity of 100% means the ability to correctly predict all people with the condition. Specificity, the true negative rate, refers to the proportion of those who were correctly predicted not to have a condition among those that actually do not experience it.10−13 Prediction models are categorized based on their AUROC curve values as: “excellent” (AUROC curve ≥0.900), “very good” (AUROC curve 0.80–0.89), “acceptable” (AUROC curve 0.70–0.79) and ”poor” (AUROC curve <0.7).14–16 Previously developed ADR risk-prediction models in older inpatients had achieved AUROC of 0.7017 to 0.7410 during their validation stages and all of them showed low specificity (<65%) and some of them used retrospective studies to develop their models.17,18 The existing models need further work to enable the development of a robust ADR risk-prediction model that is externally validated, with practical design and good performance.19 However, to the best of our knowledge, there is no study published on the validation of an ADR risk-prediction model for older inpatients in LMICs. These ADR-risk prediction tools help health professionals to accurately predict patients that are going to incur an ADR during their hospital stay, thus, highlighting the need for close monitoring, avoidance of some medications or combination of drugs and to implement other relevant interventions and, ultimately, to mitigate the burden of ADRs in clinical as well as economic aspects.20,21 This study, thus, aimed at developing and validating ‘Prediction of ADR in Older Inpatients’ (PADROI), an ADR-risk prediction tool, by employing two separate prospective cohort studies in older adults in Uganda, a low income country. Conclusion: A prospective derivational study was conducted to develop an ADR-risk prediction tool named as PADROI among older inpatients. The PADROI model achieved a very good AUROC in derivational cohort, and excellent AUROC curve in validation cohort as well as in combined cohort. The PADROI model demonstrated a specificity of 90.3% and a sensitivity of 87.1%. The current AUROC curve, sensitivity and specificity were all considerably higher than those achieved by previous studies. We recommend a multi-centered validation study to evaluate the performance and impact the PADROI tool in clinical practice.
Background: Adverse drug reactions (ADR) detection and prediction methods in hospitalized older adults remain imprecise. The identification of the risk factors for ADRs in this group of patients is crucial to develop plausible prediction models. Methods: We had previously conducted a derivational study that aimed to determine the risk factors of ADRs in hospitalized older adults. We developed the PADROI model as a potential ADR risk assessment tool incorporating 8 predictors each given a score by rounding off the respective adjusted odds ratios (AORs) to the nearest whole number. Subsequently, we conducted another prospective cohort among adults aged 60 years and older admitted to Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards at Mbarara Regional Referral Hospital (MRRH) from July 5 to September 17, 2021. Results: A total of 124 participants, 70 females and 54 males aged 60-95 years, were included in this validation cohort; 62 of them experienced 90 ADRs. When applied to the derivational cohort, the area under receiver operating characteristic curve (AUROC) for the PADROI model was shown to be 0.896 (0.869-0.923; at 95% CI). In the validation study, AUROC of PADROI was 0.917 (0.864-0.971 at 95% CI; p < 0.001). Overall, PADROI correctly predicted 91.7% of those who experienced an ADR. Conclusions: Using the adjusted odds ratios from our derivational cohort, we developed an ADR prediction tool (PADROI) that achieved an excellent AUROC (0.917), high sensitivity (87.1%) and specificity (90.3%). The current model demonstrated a high potential for clinical applicability which can be strengthened if similar results are reproduced in larger and multi-centered studies.
15,814
330
[ 3505, 393, 253, 123, 18, 81, 128, 57, 284, 233, 139, 86, 48, 5333, 428, 351, 218, 106, 638, 346, 188, 353, 99, 1537, 103 ]
26
[ "patients", "adr", "adrs", "study", "padroi", "older", "hospital", "risk", "validation", "curve" ]
[ "medication adrs classified", "model older inpatients", "adverse drug events", "predicting adrs elderly", "prediction adverse drug" ]
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[CONTENT] development | validation | prediction | adverse drug reaction | inpatients | older adults [SUMMARY]
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[CONTENT] development | validation | prediction | adverse drug reaction | inpatients | older adults [SUMMARY]
[CONTENT] development | validation | prediction | adverse drug reaction | inpatients | older adults [SUMMARY]
[CONTENT] development | validation | prediction | adverse drug reaction | inpatients | older adults [SUMMARY]
[CONTENT] Aged | Aged, 80 and over | Drug-Related Side Effects and Adverse Reactions | Female | Hospitalization | Humans | Inpatients | Male | Middle Aged | Prospective Studies | Risk Assessment | Risk Factors | Uganda [SUMMARY]
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[CONTENT] Aged | Aged, 80 and over | Drug-Related Side Effects and Adverse Reactions | Female | Hospitalization | Humans | Inpatients | Male | Middle Aged | Prospective Studies | Risk Assessment | Risk Factors | Uganda [SUMMARY]
[CONTENT] Aged | Aged, 80 and over | Drug-Related Side Effects and Adverse Reactions | Female | Hospitalization | Humans | Inpatients | Male | Middle Aged | Prospective Studies | Risk Assessment | Risk Factors | Uganda [SUMMARY]
[CONTENT] Aged | Aged, 80 and over | Drug-Related Side Effects and Adverse Reactions | Female | Hospitalization | Humans | Inpatients | Male | Middle Aged | Prospective Studies | Risk Assessment | Risk Factors | Uganda [SUMMARY]
[CONTENT] medication adrs classified | model older inpatients | adverse drug events | predicting adrs elderly | prediction adverse drug [SUMMARY]
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[CONTENT] medication adrs classified | model older inpatients | adverse drug events | predicting adrs elderly | prediction adverse drug [SUMMARY]
[CONTENT] medication adrs classified | model older inpatients | adverse drug events | predicting adrs elderly | prediction adverse drug [SUMMARY]
[CONTENT] medication adrs classified | model older inpatients | adverse drug events | predicting adrs elderly | prediction adverse drug [SUMMARY]
[CONTENT] patients | adr | adrs | study | padroi | older | hospital | risk | validation | curve [SUMMARY]
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[CONTENT] patients | adr | adrs | study | padroi | older | hospital | risk | validation | curve [SUMMARY]
[CONTENT] patients | adr | adrs | study | padroi | older | hospital | risk | validation | curve [SUMMARY]
[CONTENT] patients | adr | adrs | study | padroi | older | hospital | risk | validation | curve [SUMMARY]
[CONTENT] prediction | adr risk prediction | risk prediction | auroc | risk | models | adr | adr risk | auroc curve | risk prediction model [SUMMARY]
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[CONTENT] padroi | auroc | achieved | auroc curve | cohort | padroi model | specificity | derivational | sensitivity | model [SUMMARY]
[CONTENT] adr | patients | study | padroi | adrs | older | hospital | cohort | auroc | curve [SUMMARY]
[CONTENT] adr | patients | study | padroi | adrs | older | hospital | cohort | auroc | curve [SUMMARY]
[CONTENT] ADR ||| [SUMMARY]
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[CONTENT] ADR | 0.917 | 87.1% | 90.3% ||| [SUMMARY]
[CONTENT] ADR ||| ||| ||| ADR | 8 ||| 60 years | Gynecology and Obstetrics, Medical, Oncology | Surgery | Psychiatry | Mbarara Regional Referral Hospital | July 5 to September 17, 2021 ||| 124 | 70 | 54 | 60-95 years | 62 | 90 ||| 0.896 | 0.869 | 95% | CI ||| 0.917 | 0.864 | 95% | CI | p < 0.001 ||| 91.7% | ADR ||| ADR | 0.917 | 87.1% | 90.3% ||| [SUMMARY]
[CONTENT] ADR ||| ||| ||| ADR | 8 ||| 60 years | Gynecology and Obstetrics, Medical, Oncology | Surgery | Psychiatry | Mbarara Regional Referral Hospital | July 5 to September 17, 2021 ||| 124 | 70 | 54 | 60-95 years | 62 | 90 ||| 0.896 | 0.869 | 95% | CI ||| 0.917 | 0.864 | 95% | CI | p < 0.001 ||| 91.7% | ADR ||| ADR | 0.917 | 87.1% | 90.3% ||| [SUMMARY]
Relationship between Nutritional Status and Clinical Outcome in Patients Treated for Lung Cancer.
34684333
Between 34.5% and 69% of the patients with lung cancer are at risk of malnutrition. Quality of life (QoL) and physical status assessment provides valuable prognostic data on lung cancer patients. Malnutrition is a prognostic parameter for clinical outcome. Therefore, the identification of significant factors affecting the clinical outcome and QoL is important. The purpose of this study was to evaluate the relationship between nutritional status and outcome, i.e., overall survival, time to tumor progression, and QoL, in lung cancer patients.
BACKGROUND
We performed a systematic search of the Pubmed/MEDLINE databases per the Cochrane guidelines to conduct a meta-analysis consistent with the PRISMA statement, using the following keywords: "lung cancer," "malnutrition," "nutrition," "quality of life," "well-being," "health-related quality of life," and "outcome." Out of the 96 papers identified, 12 were included in our meta-analysis.
MATERIALS AND METHODS
Our meta-analysis shows that patients with a good nutritional status have a better QoL than malnourished patients in the following functioning domains: physical (g = 1.22, 95% CI = 1.19 to 1.46, p < 0.001), role (g = 1.45, 95% CI = 1.31 to 1.59, p < 0.001), emotional (g = 1.10, 95% CI = 0.97 to 1.24, p < 0.001), cognitive (g = 0.91, 95% CI = 0.76 to 1.06, p < 0.001), and social (g = 1.41, 95% CI = 1.27 to 1.56, p < 0.001). The risk of death was significantly higher in malnourished than in well-nourished patients (HR = 1.53, 95% CI = 1.25 to 1.86, p < 0.001). Nutritional status was significantly associated with survival, indicating that patients with a poorer nutritional status are at more risk of relapse.
RESULTS
Nutritional status is a significant clinical and prognostic parameter in the assessment of lung cancer treatment. Malnutrition is associated with poorer outcome in terms of overall survival, time to tumor progression, and QoL in patients treated for lung cancer.
CONCLUSIONS
[ "Disease Progression", "Humans", "Lung Neoplasms", "Nutritional Status", "Probability", "Publication Bias", "Quality of Life", "Survival Analysis", "Time Factors", "Treatment Outcome" ]
8539241
1. Introduction
Lung cancer is the leading cause of cancer-related death in Europe and worldwide [1]. The treatment of cancer, and in particular, non-small-cell lung carcinoma (NSCLC) has evolved in the last few years. Patients with metastatic NSCLS can now receive treatment tailored to the specific alterations and mutations identified in the genes or proteins of their cancer [2]. These treatment options are associated with better response to treatment and longer survival, compared to the previous standard based on chemotherapy [3]. Despite these advances, however, the median overall survival for patients with metastatic NSCLC is still less than 1 year [3], and less than half of the patients see a significant decrease in their tumor burden with immunotherapy alone [4]. Researchers are constantly seeking to identify factors associated with treatment effectiveness and better response to immunotherapy. Among these factors, patient age, comorbidities, nutritional status, and weight loss during or before treatment have been proposed [5]. Published findings indicate that malnutrition and risk of malnutrition are correlated with time to tumor progression and overall survival [6,7,8,9,10,11,12,13,14]. Moreover, the cytokine IL-8 (interleukin 8) may be linked to cachexia [15]. Between 34.5% and 69% of the patients with lung cancer are at risk of malnutrition [16]. Malnutrition and, even more so, cachexia have been described as prognostic outcome parameters associated with poorer prognosis; lower treatment effectiveness due to poorer treatment tolerance, higher treatment cost, and more frequent hospitalizations; shorter survival; and poor QoL [5,6,7,8,9,10,11,12,13,14,17,18,19]. Unfortunately, even though hospitalized patients undergo obligatory nutritional assessment, malnutrition, sarcopenia, and cachexia still often go undiagnosed and untreated [20]. Patients with advanced cancers and those who have had multiple hospitalizations are most at risk. Notably, the treatment itself often affects patients’ nutritional status by causing symptoms such as appetite loss, dysphagia, nausea, vomiting, diarrhea, and ulcerations of the oral or intestinal mucosa [21]. The diagnosis of nutritional disorders in patients with lung cancer is not sufficient. It is equally important to differentiate between body weight and body composition problems. Malnutrition may lead to poorer physical and mental functioning and significantly affect patients’ clinical condition [22]. Cancer-related malnutrition is associated with metabolic disorders, which may not respond to nutrient supplementation [16]. Cachexia manifests with rapid weight loss, appetite dysfunction, and early satiety [16]. It is also accompanied by general weakness, fatigue, weakened immunity, and poor overall condition. Patients may experience poorer physical performance, difficulties in daily activities, and reduced mobility, resulting in more dependence on others, difficulties in family and social life, lower mood, and feelings of loneliness and isolation. Lung cancer-related skeletal muscle wasting (sarcopenia) has been linked to shorter survival, reduced tolerance to chemotherapy, decreased QoL, and diminished functional ability [22]. In lung cancer patients, nutritional deficiencies are the result of insufficient calorie intake [20]. Nutritional status assessment and nutritional interventions must be included as an integral part of treatment in the lung cancer patient population. Researchers have described an adverse association of weight loss, both before and after diagnosis, with shorter survival and a higher risk of death; conversely, there is evidence of a beneficial relationship between higher body weight (with a BMI > 23) and better outcome, including longer survival, in lung cancer patients [23]. A strong correlation between weight loss and QoL in lung cancer patients has also been demonstrated [5], but no clear evidence is available to guide strategies for the implementation of integrated nutritional care standards that would provide comprehensive benefits in terms of improving treatment effectiveness, patient functioning, and QoL [5]. The literature often focuses on cancer patients’ nutritional status or their QoL and links one of the two with the clinical aspects of treatment. However, papers linking all these elements and evaluating their interrelationships remain scarce. Quality of life (QoL) and physical status assessment provides valuable prognostic data on lung cancer patients. The identification of factors significant for a patient, affecting their reported QoL, is extremely important. Therefore, the purpose of this study was to evaluate the relationship between nutritional status and outcome in lung cancer patients. Following previous publications, we defined outcome as including QoL, mortality, disability, and time of hospitalization [6,7,8,9,10,11,12,13,14,17,18,19].
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3. Results
3.1. Impact of Nutritional Status on Outcome in Lung Cancer Patients The systematic review and meta-analysis looked at selected QoL domains, overall survival (OS), and time to tumor progression (TTP) in the population of lung cancer patients broken down by nutritional status. The premise of the review also included the significance of nutritional status for disability, rehospitalization, and mortality in lung cancer patients, but no papers addressing all these endpoints were found. In the analyzed papers, patients’ nutritional status was evaluated using questionnaires (MNA or SGA), or measures such as BMI, weight loss (WL), albumin levels, and anorexia or cachexia. Due to the different types of information available on patients’ nutritional status, we adopted a dichotomous classification into well-nourished and malnourished patients. The malnourished group included categories B and C, i.e., at risk of malnutrition or malnourished in the MNA and moderately or severely malnourished in the SGA; underweight patients (BMI < 18 kg/m2); patients with involuntary weight loss >5%; with albumin levels <3.5 mg/dL; and with anorexia (A/SC ≤ 32; n = 737). QoL in six domains was evaluated using the EORTC QLQ-C30 or FAACT questionnaire. The systematic review and meta-analysis looked at selected QoL domains, overall survival (OS), and time to tumor progression (TTP) in the population of lung cancer patients broken down by nutritional status. The premise of the review also included the significance of nutritional status for disability, rehospitalization, and mortality in lung cancer patients, but no papers addressing all these endpoints were found. In the analyzed papers, patients’ nutritional status was evaluated using questionnaires (MNA or SGA), or measures such as BMI, weight loss (WL), albumin levels, and anorexia or cachexia. Due to the different types of information available on patients’ nutritional status, we adopted a dichotomous classification into well-nourished and malnourished patients. The malnourished group included categories B and C, i.e., at risk of malnutrition or malnourished in the MNA and moderately or severely malnourished in the SGA; underweight patients (BMI < 18 kg/m2); patients with involuntary weight loss >5%; with albumin levels <3.5 mg/dL; and with anorexia (A/SC ≤ 32; n = 737). QoL in six domains was evaluated using the EORTC QLQ-C30 or FAACT questionnaire. 3.2. QoL QoL was assessed in a group of 289 patients with normal nutritional status and 737 patients who were malnourished or at risk of malnutrition. The mean patient age was 63.1 ± 2.1 years. A total of 56.7% of the studied patients were male. QoL in selected domains for the patients differing by nutritional status was evaluated using the EORTC QLQ-C30 or FAACT questionnaire. Global QoL was assessed in six studies (Figure 2). In these six studies, clear heterogeneity was identified (Q = 173.2, df = 5, p < 0.001; I2 = 97.1%), and therefore, the random effects model was used for the analysis. Summary results suggest a significant difference in global QoL between well-nourished and malnourished patients (g = 1.52, 95% CI = 0.67 to 2.36, p< 0.001). Publication bias was evaluated using the trim-and-fill method and funnel plots (Figure 3). The impact of studies included in the meta-analysis on the final result was evaluated by sensitivity analysis (Figure 4). QoL in terms of the physical, social, and role functioning domains of the EORTC QLQ-C30 was evaluated in five studies. Emotional functioning was evaluated in four studies, and cognitive functioning in only three. Clear heterogeneity was found in all of these studies. Heterogeneity analysis results are listed in Table 3. Due to the clear heterogeneity of the studies included in the meta-analysis, random effects models were applied. Our findings, shown in forest graphs (Figure 5), demonstrate that patients with a good nutritional status have a better QoL than malnourished patients in the following functioning domains: physical (g = 1.22, 95% CI = 1.19 to 1.46, p < 0.001), role (g = 1.45, 95% CI = 1.31 to 1.59, p < 0.001), emotional (g = 1.10, 95% CI = 0.97 to 1.24, p < 0.001), cognitive (g = 0.91, 95% CI = 0.76 to 1.06, p < 0.001), and social (g = 1.41, 95% CI = 1.27 to 1.56, p < 0.001). QoL was assessed in a group of 289 patients with normal nutritional status and 737 patients who were malnourished or at risk of malnutrition. The mean patient age was 63.1 ± 2.1 years. A total of 56.7% of the studied patients were male. QoL in selected domains for the patients differing by nutritional status was evaluated using the EORTC QLQ-C30 or FAACT questionnaire. Global QoL was assessed in six studies (Figure 2). In these six studies, clear heterogeneity was identified (Q = 173.2, df = 5, p < 0.001; I2 = 97.1%), and therefore, the random effects model was used for the analysis. Summary results suggest a significant difference in global QoL between well-nourished and malnourished patients (g = 1.52, 95% CI = 0.67 to 2.36, p< 0.001). Publication bias was evaluated using the trim-and-fill method and funnel plots (Figure 3). The impact of studies included in the meta-analysis on the final result was evaluated by sensitivity analysis (Figure 4). QoL in terms of the physical, social, and role functioning domains of the EORTC QLQ-C30 was evaluated in five studies. Emotional functioning was evaluated in four studies, and cognitive functioning in only three. Clear heterogeneity was found in all of these studies. Heterogeneity analysis results are listed in Table 3. Due to the clear heterogeneity of the studies included in the meta-analysis, random effects models were applied. Our findings, shown in forest graphs (Figure 5), demonstrate that patients with a good nutritional status have a better QoL than malnourished patients in the following functioning domains: physical (g = 1.22, 95% CI = 1.19 to 1.46, p < 0.001), role (g = 1.45, 95% CI = 1.31 to 1.59, p < 0.001), emotional (g = 1.10, 95% CI = 0.97 to 1.24, p < 0.001), cognitive (g = 0.91, 95% CI = 0.76 to 1.06, p < 0.001), and social (g = 1.41, 95% CI = 1.27 to 1.56, p < 0.001). 3.3. Nutritional Status and Overall Survival (OS) The meta-analysis included nine papers providing data on the studied lung cancer patients’ overall survival (OS) and nutritional status (Figure 6). In total, the analysis included 1560 patients aged 64.6 ± 16.3 years, of whom 1064 (68.2%) were male. Based on the available data on OS, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In these nine studies, clear heterogeneity was identified (Q = 69.6, df = 8, p < 0.001; I2 = 93.3%), and therefore, the random effect model was used for the analysis. The heterogeneity of the observed values may result, among other factors, from differences in sampling, e.g., in terms of disease stage, which is why the conclusion that malnourished patients are at more risk of death should be treated with caution. The asymmetrical concentration of studies in the funnel plot (Figure 5) indicates a possible systematic publication bias. However, summary results suggest that the risk of death is indeed significantly higher in malnourished than in well-nourished patients (HR = 1.53, 95% CI = 1.25 to 1.86, p < 0.001). The meta-analysis included nine papers providing data on the studied lung cancer patients’ overall survival (OS) and nutritional status (Figure 6). In total, the analysis included 1560 patients aged 64.6 ± 16.3 years, of whom 1064 (68.2%) were male. Based on the available data on OS, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In these nine studies, clear heterogeneity was identified (Q = 69.6, df = 8, p < 0.001; I2 = 93.3%), and therefore, the random effect model was used for the analysis. The heterogeneity of the observed values may result, among other factors, from differences in sampling, e.g., in terms of disease stage, which is why the conclusion that malnourished patients are at more risk of death should be treated with caution. The asymmetrical concentration of studies in the funnel plot (Figure 5) indicates a possible systematic publication bias. However, summary results suggest that the risk of death is indeed significantly higher in malnourished than in well-nourished patients (HR = 1.53, 95% CI = 1.25 to 1.86, p < 0.001). 3.4. Nutritional Status and Time to Tumor Progression (TTP) The meta-analysis included four papers providing data on time to tumor progression (TTP) and nutritional status in the studied lung cancer patient groups (Figure 7). Based on the available data on TTP, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In total, the analysis included 395 patients aged 64.2 ± 15.8 years, of whom 319 (80.7%) were male. In these four studies, clear homogeneity was identified (Q = 1.28, df = 3, p < 0.734; I2 = 0.0%), and therefore, the fixed effects model was used for the analysis. Meta-analysis results warrant the conclusion that nutritional status is significantly associated with survival, as patients with a poorer nutritional status were at more risk of cancer relapse. The meta-analysis included four papers providing data on time to tumor progression (TTP) and nutritional status in the studied lung cancer patient groups (Figure 7). Based on the available data on TTP, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In total, the analysis included 395 patients aged 64.2 ± 15.8 years, of whom 319 (80.7%) were male. In these four studies, clear homogeneity was identified (Q = 1.28, df = 3, p < 0.734; I2 = 0.0%), and therefore, the fixed effects model was used for the analysis. Meta-analysis results warrant the conclusion that nutritional status is significantly associated with survival, as patients with a poorer nutritional status were at more risk of cancer relapse.
6. Conclusions
Nutritional status is a significant clinical and prognostic parameter in the assessment of lung cancer treatment. Malnutrition is associated with poorer outcome in terms of overall survival, time to tumor progression, and QoL in patients treated for lung cancer.
[ "2. Materials and Methods", "2.1. Search Strategies", "2.2. Description of the Included Studies", "2.3. Data Extraction", "2.4. Methods", "2.4.1. Questionnaires Used in the Studies", "2.4.2. QoL Questionnaires", "2.4.3. Nutritional Status Assessment Questionnaires and Clinical Parameters", "2.5. Statistical Analysis", "3.2. QoL", "3.3. Nutritional Status and Overall Survival (OS)", "3.4. Nutritional Status and Time to Tumor Progression (TTP)", "5. Study Limitations" ]
[ " 2.1. Search Strategies We performed a systematic search of the Pubmed/MEDLINE databases per the Cochrane guidelines to conduct a meta-analysis consistent with the PRISMA (Preferred Reporting Items for Systematic review and Meta-Analysis) statement (Figure 1) [24].\nFirst, we identified all published studies that addressed the relationship between nutritional status and outcome in patients treated for lung cancer and used the terms (lung cancer [Title/Abstract] AND (malnutrition [Title/Abstract] OR nutrition [Title/Abstract] AND (quality of life [Title/Abstract] OR well-being [Title/Abstract] OR health-related quality of life [Title/Abstract] OR outcome), yielding 246 papers. The search limits were defined as “English” (language), “1 January 2000,” and “31 December 2021” (publication date), Adult +19, and full text (96).\nThe exclusion criteria were as follows: review articles, meta-analyses, case studies, study protocols, no numerical data, no assessment of outcome, and duplicates. Subsequently, three reviewers (JP, NŚL, and MC) selected relevant studies for inclusion by examining the remaining titles, abstracts, or full papers (n = 12). Their analysis considered publication bias, selective reporting of research, and duplication of publications. To ascertain the validity of eligible randomized trials, reviewers were working independently to reliably determine the adequacy of randomization and concealment of allocation, blinding of patients, data collectors, and outcome assessors. Disagreements were resolved by consensus discussion. The meta-analyses were performed by computing relative risks (RRs) using the random effects model. Quantitative analyses were performed on an intention-to-treat basis and were confined to data derived from the follow-up period. RRs and 95% confidence intervals for each type of intervention were calculated.\nAt the first stage, all records were identified from searches of the electronic databases. At the second stage, three researchers (JP, NŚL, and MC) independently screened the titles and abstracts to identify potentially eligible studies and remove duplicates. At the third stage, studies that were potentially eligible were selected for full-text review. Disagreements were resolved by consensus discussion. Ultimately, 12 full-text papers were included in subsequent statistical analyses (Figure 1 and Table 1). We made every effort to include all primary studies meeting the adopted criteria in our review. The quality of the primary studies was assessed, and the extent to which the studies met the reliability criteria, if at all, was determined. The process of selecting and evaluating primary studies was repeated.\nWe performed a systematic search of the Pubmed/MEDLINE databases per the Cochrane guidelines to conduct a meta-analysis consistent with the PRISMA (Preferred Reporting Items for Systematic review and Meta-Analysis) statement (Figure 1) [24].\nFirst, we identified all published studies that addressed the relationship between nutritional status and outcome in patients treated for lung cancer and used the terms (lung cancer [Title/Abstract] AND (malnutrition [Title/Abstract] OR nutrition [Title/Abstract] AND (quality of life [Title/Abstract] OR well-being [Title/Abstract] OR health-related quality of life [Title/Abstract] OR outcome), yielding 246 papers. The search limits were defined as “English” (language), “1 January 2000,” and “31 December 2021” (publication date), Adult +19, and full text (96).\nThe exclusion criteria were as follows: review articles, meta-analyses, case studies, study protocols, no numerical data, no assessment of outcome, and duplicates. Subsequently, three reviewers (JP, NŚL, and MC) selected relevant studies for inclusion by examining the remaining titles, abstracts, or full papers (n = 12). Their analysis considered publication bias, selective reporting of research, and duplication of publications. To ascertain the validity of eligible randomized trials, reviewers were working independently to reliably determine the adequacy of randomization and concealment of allocation, blinding of patients, data collectors, and outcome assessors. Disagreements were resolved by consensus discussion. The meta-analyses were performed by computing relative risks (RRs) using the random effects model. Quantitative analyses were performed on an intention-to-treat basis and were confined to data derived from the follow-up period. RRs and 95% confidence intervals for each type of intervention were calculated.\nAt the first stage, all records were identified from searches of the electronic databases. At the second stage, three researchers (JP, NŚL, and MC) independently screened the titles and abstracts to identify potentially eligible studies and remove duplicates. At the third stage, studies that were potentially eligible were selected for full-text review. Disagreements were resolved by consensus discussion. Ultimately, 12 full-text papers were included in subsequent statistical analyses (Figure 1 and Table 1). We made every effort to include all primary studies meeting the adopted criteria in our review. The quality of the primary studies was assessed, and the extent to which the studies met the reliability criteria, if at all, was determined. The process of selecting and evaluating primary studies was repeated.\n 2.2. Description of the Included Studies The 12 studies included in the meta-analysis [6,7,8,9,10,11,12,13,14,17,18,19] were performed in 9 countries in 4 continents. The meta-analysis included research papers published in English in the years 2000–2021 in one of the specified databases. Studies on children, other meta-analyses, review articles, study protocols, duplicates, and studies with incomplete data were excluded from the meta-analysis. \nIn the analyzed studies, patient inclusion criteria were as follows: written informed consent (4 studies); lung cancer diagnosis confirmed by histopathological examination (5 studies); age above 18 years (4 studies), understanding the questionnaire items (1 study); patients with stomach, colon, lung, esophageal, liver, or pancreaticobiliary (pancreas, common bile duct, ampulla of Vater, and gallbladder) cancer (1 study); age between 20 and 80 years (1 study); hemoglobin level >9.0 g/dL (1 study); absolute neutrophil count >1500/mm3 (1 study); platelet count >100,000/mm3 (1 study); total bilirubin <3.0 mg/dL (1 study), creatinine <1.5 mg/dL (1 study); Eastern Cooperative Oncology Group (ECOG) score of ≤2 (3 studies); eligibility to receive paclitaxel (175 mg/m2) and cisplatin (80 mg/m2) as first-line palliative chemotherapy every 3 weeks for at least two and a maximum of six cycles (1 study); treatment with cisplatin-based chemotherapy and concurrent thoracic radiotherapy followed by surgical resection (1 study); pathologically proven mediastinal lymph node involvement (N2 or N3 disease), by transbronchial fine needle aspiration and/or by esophageal ultrasonography (endoscopic ultrasound-guided fine needle aspiration) or mediastinoscopy (1 study); superior sulcus tumor (SST; 1 study); tumor stage cT4 on the basis of a combination of clinical signs (e.g., neurological) and/or imaging studies such as computed tomography scan or magnetic resonance imaging (e.g., involvement of vertebra; 1 study); ability to tolerate cisplatin-based chemotherapy (1 study); measurable, non-irradiated disease according to the Response Evaluation Criteria in Solid Tumors (RECIST; 1 study); adequate functional reserve of the major organ systems (1 study).\nPatient exclusion criteria were as follows: uncertain cancer diagnosis (1 study); lack of consent to participate in the study (2 studies); coexistence of other malignant tumors (1 study); heart failure exacerbation (2 studies); severe chronic obstructive pulmonary disease (1 study); asthmatic condition (1 study); hemodynamic instability (1 study); cognitive impairments (1 study); unstable angina or myocardial infarction within the past 6 months (1 study); significant arrhythmias requiring medication (1 study); conduction abnormalities such as greater than second-degree atrioventricular block (1 study); uncontrolled hypertension (1 study); liver cirrhosis (child class B and C; 2 studies); interstitial pneumonia (1 study); pulmonary adenomatosis (1 study); psychiatric disorders that may interfere with protocol compliance (1 study); unstable diabetes mellitus (1 study); uncontrolled ascites or pleural effusions as well as active infections (4 studies); poor functional performance status (1 study); previous treatment (surgical, radiotherapy, and/or chemotherapy; 1 study); a history of previous malignancies (other than non-melanoma skin tumors) within the last 5 years (2 studies); severe comorbid condition(s) (1 study); anti-inflammatory treatment (2 studies); chronic diseases (i.e., chronic renal failure; 1 study); broncho-esophageal fistula without an esophageal obstruction (1 study); stricture due to radiotherapy (1 study); patients who underwent the procedure because of an impaired swallowing function itself, such as central nervous systemic, oropharyngeal or transient postoperative problems (1 study); patients who underwent the procedure previously at another hospital (1 study); and malignant dysphagia due to other primary cancers (1 study).\nThe 12 studies included in the meta-analysis [6,7,8,9,10,11,12,13,14,17,18,19] were performed in 9 countries in 4 continents. The meta-analysis included research papers published in English in the years 2000–2021 in one of the specified databases. Studies on children, other meta-analyses, review articles, study protocols, duplicates, and studies with incomplete data were excluded from the meta-analysis. \nIn the analyzed studies, patient inclusion criteria were as follows: written informed consent (4 studies); lung cancer diagnosis confirmed by histopathological examination (5 studies); age above 18 years (4 studies), understanding the questionnaire items (1 study); patients with stomach, colon, lung, esophageal, liver, or pancreaticobiliary (pancreas, common bile duct, ampulla of Vater, and gallbladder) cancer (1 study); age between 20 and 80 years (1 study); hemoglobin level >9.0 g/dL (1 study); absolute neutrophil count >1500/mm3 (1 study); platelet count >100,000/mm3 (1 study); total bilirubin <3.0 mg/dL (1 study), creatinine <1.5 mg/dL (1 study); Eastern Cooperative Oncology Group (ECOG) score of ≤2 (3 studies); eligibility to receive paclitaxel (175 mg/m2) and cisplatin (80 mg/m2) as first-line palliative chemotherapy every 3 weeks for at least two and a maximum of six cycles (1 study); treatment with cisplatin-based chemotherapy and concurrent thoracic radiotherapy followed by surgical resection (1 study); pathologically proven mediastinal lymph node involvement (N2 or N3 disease), by transbronchial fine needle aspiration and/or by esophageal ultrasonography (endoscopic ultrasound-guided fine needle aspiration) or mediastinoscopy (1 study); superior sulcus tumor (SST; 1 study); tumor stage cT4 on the basis of a combination of clinical signs (e.g., neurological) and/or imaging studies such as computed tomography scan or magnetic resonance imaging (e.g., involvement of vertebra; 1 study); ability to tolerate cisplatin-based chemotherapy (1 study); measurable, non-irradiated disease according to the Response Evaluation Criteria in Solid Tumors (RECIST; 1 study); adequate functional reserve of the major organ systems (1 study).\nPatient exclusion criteria were as follows: uncertain cancer diagnosis (1 study); lack of consent to participate in the study (2 studies); coexistence of other malignant tumors (1 study); heart failure exacerbation (2 studies); severe chronic obstructive pulmonary disease (1 study); asthmatic condition (1 study); hemodynamic instability (1 study); cognitive impairments (1 study); unstable angina or myocardial infarction within the past 6 months (1 study); significant arrhythmias requiring medication (1 study); conduction abnormalities such as greater than second-degree atrioventricular block (1 study); uncontrolled hypertension (1 study); liver cirrhosis (child class B and C; 2 studies); interstitial pneumonia (1 study); pulmonary adenomatosis (1 study); psychiatric disorders that may interfere with protocol compliance (1 study); unstable diabetes mellitus (1 study); uncontrolled ascites or pleural effusions as well as active infections (4 studies); poor functional performance status (1 study); previous treatment (surgical, radiotherapy, and/or chemotherapy; 1 study); a history of previous malignancies (other than non-melanoma skin tumors) within the last 5 years (2 studies); severe comorbid condition(s) (1 study); anti-inflammatory treatment (2 studies); chronic diseases (i.e., chronic renal failure; 1 study); broncho-esophageal fistula without an esophageal obstruction (1 study); stricture due to radiotherapy (1 study); patients who underwent the procedure because of an impaired swallowing function itself, such as central nervous systemic, oropharyngeal or transient postoperative problems (1 study); patients who underwent the procedure previously at another hospital (1 study); and malignant dysphagia due to other primary cancers (1 study).\n 2.3. Data Extraction An initial database was developed, pilot-tested, and refined to ensure consistency with the outcomes reported in the literature. Data were independently extracted from eligible articles by three reviewers. Data extraction discrepancies between the reviewers were resolved by consensus.\nThe following information was extracted from each included trial: (1) characteristics of trial participants (including age, gender, stage, and severity of disease), the trial’s inclusion and exclusion criteria; (2) type of intervention; (3) type of outcome measure. Risk of bias was established using the Newcastle–Ottawa scale. \nAn initial database was developed, pilot-tested, and refined to ensure consistency with the outcomes reported in the literature. Data were independently extracted from eligible articles by three reviewers. Data extraction discrepancies between the reviewers were resolved by consensus.\nThe following information was extracted from each included trial: (1) characteristics of trial participants (including age, gender, stage, and severity of disease), the trial’s inclusion and exclusion criteria; (2) type of intervention; (3) type of outcome measure. Risk of bias was established using the Newcastle–Ottawa scale. \n 2.4. Methods 2.4.1. Questionnaires Used in the Studies In the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2).\nIn the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2).\n 2.4.2. QoL Questionnaires The EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25].\nThe QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26].\nThe EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25].\nThe QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26].\n 2.4.3. Nutritional Status Assessment Questionnaires and Clinical Parameters The MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27].\nSubjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28].\nAC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29].\nAlbumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30].\nThe MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27].\nSubjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28].\nAC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29].\nAlbumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30].\n 2.4.1. Questionnaires Used in the Studies In the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2).\nIn the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2).\n 2.4.2. QoL Questionnaires The EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25].\nThe QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26].\nThe EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25].\nThe QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26].\n 2.4.3. Nutritional Status Assessment Questionnaires and Clinical Parameters The MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27].\nSubjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28].\nAC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29].\nAlbumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30].\nThe MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27].\nSubjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28].\nAC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29].\nAlbumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30].\n 2.5. Statistical Analysis Our meta-analysis was performed using the Statistica 13.3 software (TIBCO Software Inc., Palo Alto, CA, USA). The heterogeneity of the primary study results was assessed using the Q statistic based on χ2 and its associated p-value. If the heterogeneity test result was significant (p < 0.1), the meta-analysis was performed using the random effects model. For p > 0.1, the meta-analysis relied on the fixed effects model. The percentage of heterogeneity between study estimates was determined using the I2 statistic. \nFor differences in QoL between patients in different nutritional status groups, the effect size was measured based on the corrected standardized mean difference—Hedge’s g and its 95% confidence interval (CI). The statistic was calculated based on the information on mean values, their distribution, and sample size in groups.\nFor overall survival (OS) and time to tumor progression (TTP), we used hazard ratios (HR) calculated using the Cox regression coefficient. \nAny publication bias was estimated using Egger’s test. We also performed sensitivity analysis using the trim-and-fill method and funnel plot symmetry analysis to detect the impact of publication bias on summary results. Findings at p < 0.05 were considered statistically significant.\nOur meta-analysis was performed using the Statistica 13.3 software (TIBCO Software Inc., Palo Alto, CA, USA). The heterogeneity of the primary study results was assessed using the Q statistic based on χ2 and its associated p-value. If the heterogeneity test result was significant (p < 0.1), the meta-analysis was performed using the random effects model. For p > 0.1, the meta-analysis relied on the fixed effects model. The percentage of heterogeneity between study estimates was determined using the I2 statistic. \nFor differences in QoL between patients in different nutritional status groups, the effect size was measured based on the corrected standardized mean difference—Hedge’s g and its 95% confidence interval (CI). The statistic was calculated based on the information on mean values, their distribution, and sample size in groups.\nFor overall survival (OS) and time to tumor progression (TTP), we used hazard ratios (HR) calculated using the Cox regression coefficient. \nAny publication bias was estimated using Egger’s test. We also performed sensitivity analysis using the trim-and-fill method and funnel plot symmetry analysis to detect the impact of publication bias on summary results. Findings at p < 0.05 were considered statistically significant.", "We performed a systematic search of the Pubmed/MEDLINE databases per the Cochrane guidelines to conduct a meta-analysis consistent with the PRISMA (Preferred Reporting Items for Systematic review and Meta-Analysis) statement (Figure 1) [24].\nFirst, we identified all published studies that addressed the relationship between nutritional status and outcome in patients treated for lung cancer and used the terms (lung cancer [Title/Abstract] AND (malnutrition [Title/Abstract] OR nutrition [Title/Abstract] AND (quality of life [Title/Abstract] OR well-being [Title/Abstract] OR health-related quality of life [Title/Abstract] OR outcome), yielding 246 papers. The search limits were defined as “English” (language), “1 January 2000,” and “31 December 2021” (publication date), Adult +19, and full text (96).\nThe exclusion criteria were as follows: review articles, meta-analyses, case studies, study protocols, no numerical data, no assessment of outcome, and duplicates. Subsequently, three reviewers (JP, NŚL, and MC) selected relevant studies for inclusion by examining the remaining titles, abstracts, or full papers (n = 12). Their analysis considered publication bias, selective reporting of research, and duplication of publications. To ascertain the validity of eligible randomized trials, reviewers were working independently to reliably determine the adequacy of randomization and concealment of allocation, blinding of patients, data collectors, and outcome assessors. Disagreements were resolved by consensus discussion. The meta-analyses were performed by computing relative risks (RRs) using the random effects model. Quantitative analyses were performed on an intention-to-treat basis and were confined to data derived from the follow-up period. RRs and 95% confidence intervals for each type of intervention were calculated.\nAt the first stage, all records were identified from searches of the electronic databases. At the second stage, three researchers (JP, NŚL, and MC) independently screened the titles and abstracts to identify potentially eligible studies and remove duplicates. At the third stage, studies that were potentially eligible were selected for full-text review. Disagreements were resolved by consensus discussion. Ultimately, 12 full-text papers were included in subsequent statistical analyses (Figure 1 and Table 1). We made every effort to include all primary studies meeting the adopted criteria in our review. The quality of the primary studies was assessed, and the extent to which the studies met the reliability criteria, if at all, was determined. The process of selecting and evaluating primary studies was repeated.", "The 12 studies included in the meta-analysis [6,7,8,9,10,11,12,13,14,17,18,19] were performed in 9 countries in 4 continents. The meta-analysis included research papers published in English in the years 2000–2021 in one of the specified databases. Studies on children, other meta-analyses, review articles, study protocols, duplicates, and studies with incomplete data were excluded from the meta-analysis. \nIn the analyzed studies, patient inclusion criteria were as follows: written informed consent (4 studies); lung cancer diagnosis confirmed by histopathological examination (5 studies); age above 18 years (4 studies), understanding the questionnaire items (1 study); patients with stomach, colon, lung, esophageal, liver, or pancreaticobiliary (pancreas, common bile duct, ampulla of Vater, and gallbladder) cancer (1 study); age between 20 and 80 years (1 study); hemoglobin level >9.0 g/dL (1 study); absolute neutrophil count >1500/mm3 (1 study); platelet count >100,000/mm3 (1 study); total bilirubin <3.0 mg/dL (1 study), creatinine <1.5 mg/dL (1 study); Eastern Cooperative Oncology Group (ECOG) score of ≤2 (3 studies); eligibility to receive paclitaxel (175 mg/m2) and cisplatin (80 mg/m2) as first-line palliative chemotherapy every 3 weeks for at least two and a maximum of six cycles (1 study); treatment with cisplatin-based chemotherapy and concurrent thoracic radiotherapy followed by surgical resection (1 study); pathologically proven mediastinal lymph node involvement (N2 or N3 disease), by transbronchial fine needle aspiration and/or by esophageal ultrasonography (endoscopic ultrasound-guided fine needle aspiration) or mediastinoscopy (1 study); superior sulcus tumor (SST; 1 study); tumor stage cT4 on the basis of a combination of clinical signs (e.g., neurological) and/or imaging studies such as computed tomography scan or magnetic resonance imaging (e.g., involvement of vertebra; 1 study); ability to tolerate cisplatin-based chemotherapy (1 study); measurable, non-irradiated disease according to the Response Evaluation Criteria in Solid Tumors (RECIST; 1 study); adequate functional reserve of the major organ systems (1 study).\nPatient exclusion criteria were as follows: uncertain cancer diagnosis (1 study); lack of consent to participate in the study (2 studies); coexistence of other malignant tumors (1 study); heart failure exacerbation (2 studies); severe chronic obstructive pulmonary disease (1 study); asthmatic condition (1 study); hemodynamic instability (1 study); cognitive impairments (1 study); unstable angina or myocardial infarction within the past 6 months (1 study); significant arrhythmias requiring medication (1 study); conduction abnormalities such as greater than second-degree atrioventricular block (1 study); uncontrolled hypertension (1 study); liver cirrhosis (child class B and C; 2 studies); interstitial pneumonia (1 study); pulmonary adenomatosis (1 study); psychiatric disorders that may interfere with protocol compliance (1 study); unstable diabetes mellitus (1 study); uncontrolled ascites or pleural effusions as well as active infections (4 studies); poor functional performance status (1 study); previous treatment (surgical, radiotherapy, and/or chemotherapy; 1 study); a history of previous malignancies (other than non-melanoma skin tumors) within the last 5 years (2 studies); severe comorbid condition(s) (1 study); anti-inflammatory treatment (2 studies); chronic diseases (i.e., chronic renal failure; 1 study); broncho-esophageal fistula without an esophageal obstruction (1 study); stricture due to radiotherapy (1 study); patients who underwent the procedure because of an impaired swallowing function itself, such as central nervous systemic, oropharyngeal or transient postoperative problems (1 study); patients who underwent the procedure previously at another hospital (1 study); and malignant dysphagia due to other primary cancers (1 study).", "An initial database was developed, pilot-tested, and refined to ensure consistency with the outcomes reported in the literature. Data were independently extracted from eligible articles by three reviewers. Data extraction discrepancies between the reviewers were resolved by consensus.\nThe following information was extracted from each included trial: (1) characteristics of trial participants (including age, gender, stage, and severity of disease), the trial’s inclusion and exclusion criteria; (2) type of intervention; (3) type of outcome measure. Risk of bias was established using the Newcastle–Ottawa scale. ", " 2.4.1. Questionnaires Used in the Studies In the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2).\nIn the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2).\n 2.4.2. QoL Questionnaires The EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25].\nThe QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26].\nThe EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25].\nThe QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26].\n 2.4.3. Nutritional Status Assessment Questionnaires and Clinical Parameters The MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27].\nSubjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28].\nAC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29].\nAlbumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30].\nThe MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27].\nSubjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28].\nAC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29].\nAlbumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30].", "In the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2).", "The EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25].\nThe QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26].", "The MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27].\nSubjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28].\nAC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29].\nAlbumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30].", "Our meta-analysis was performed using the Statistica 13.3 software (TIBCO Software Inc., Palo Alto, CA, USA). The heterogeneity of the primary study results was assessed using the Q statistic based on χ2 and its associated p-value. If the heterogeneity test result was significant (p < 0.1), the meta-analysis was performed using the random effects model. For p > 0.1, the meta-analysis relied on the fixed effects model. The percentage of heterogeneity between study estimates was determined using the I2 statistic. \nFor differences in QoL between patients in different nutritional status groups, the effect size was measured based on the corrected standardized mean difference—Hedge’s g and its 95% confidence interval (CI). The statistic was calculated based on the information on mean values, their distribution, and sample size in groups.\nFor overall survival (OS) and time to tumor progression (TTP), we used hazard ratios (HR) calculated using the Cox regression coefficient. \nAny publication bias was estimated using Egger’s test. We also performed sensitivity analysis using the trim-and-fill method and funnel plot symmetry analysis to detect the impact of publication bias on summary results. Findings at p < 0.05 were considered statistically significant.", "QoL was assessed in a group of 289 patients with normal nutritional status and 737 patients who were malnourished or at risk of malnutrition. The mean patient age was 63.1 ± 2.1 years. A total of 56.7% of the studied patients were male. QoL in selected domains for the patients differing by nutritional status was evaluated using the EORTC QLQ-C30 or FAACT questionnaire. Global QoL was assessed in six studies (Figure 2). In these six studies, clear heterogeneity was identified (Q = 173.2, df = 5, p < 0.001; I2 = 97.1%), and therefore, the random effects model was used for the analysis. Summary results suggest a significant difference in global QoL between well-nourished and malnourished patients (g = 1.52, 95% CI = 0.67 to 2.36, p< 0.001). \nPublication bias was evaluated using the trim-and-fill method and funnel plots (Figure 3). The impact of studies included in the meta-analysis on the final result was evaluated by sensitivity analysis (Figure 4).\nQoL in terms of the physical, social, and role functioning domains of the EORTC QLQ-C30 was evaluated in five studies. Emotional functioning was evaluated in four studies, and cognitive functioning in only three. Clear heterogeneity was found in all of these studies. Heterogeneity analysis results are listed in Table 3.\nDue to the clear heterogeneity of the studies included in the meta-analysis, random effects models were applied. Our findings, shown in forest graphs (Figure 5), demonstrate that patients with a good nutritional status have a better QoL than malnourished patients in the following functioning domains: physical (g = 1.22, 95% CI = 1.19 to 1.46, p < 0.001), role (g = 1.45, 95% CI = 1.31 to 1.59, p < 0.001), emotional (g = 1.10, 95% CI = 0.97 to 1.24, p < 0.001), cognitive (g = 0.91, 95% CI = 0.76 to 1.06, p < 0.001), and social (g = 1.41, 95% CI = 1.27 to 1.56, p < 0.001).", "The meta-analysis included nine papers providing data on the studied lung cancer patients’ overall survival (OS) and nutritional status (Figure 6). In total, the analysis included 1560 patients aged 64.6 ± 16.3 years, of whom 1064 (68.2%) were male. Based on the available data on OS, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In these nine studies, clear heterogeneity was identified (Q = 69.6, df = 8, p < 0.001; I2 = 93.3%), and therefore, the random effect model was used for the analysis. The heterogeneity of the observed values may result, among other factors, from differences in sampling, e.g., in terms of disease stage, which is why the conclusion that malnourished patients are at more risk of death should be treated with caution. The asymmetrical concentration of studies in the funnel plot (Figure 5) indicates a possible systematic publication bias. However, summary results suggest that the risk of death is indeed significantly higher in malnourished than in well-nourished patients (HR = 1.53, 95% CI = 1.25 to 1.86, p < 0.001). ", "The meta-analysis included four papers providing data on time to tumor progression (TTP) and nutritional status in the studied lung cancer patient groups (Figure 7). Based on the available data on TTP, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In total, the analysis included 395 patients aged 64.2 ± 15.8 years, of whom 319 (80.7%) were male. In these four studies, clear homogeneity was identified (Q = 1.28, df = 3, p < 0.734; I2 = 0.0%), and therefore, the fixed effects model was used for the analysis. Meta-analysis results warrant the conclusion that nutritional status is significantly associated with survival, as patients with a poorer nutritional status were at more risk of cancer relapse. ", "Some of the studies included in the meta-analysis may not be properly blinded, as a description was missing. Though the quality of all included studies was high, nonblinded studies may introduce an inevitable systematic bias. Moreover, the criteria used to identify malnutrition in the patients differed between studies. The analyses of significant variables (QoL in specific domains, overall survival) were considerably heterogeneous. However, statistical findings did not change with the exclusion of individual studies in sensitivity analysis, which lends credibility to our conclusions. In the study, specific treatments and cancer stages were not considered as inclusion criteria. " ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "1. Introduction", "2. Materials and Methods", "2.1. Search Strategies", "2.2. Description of the Included Studies", "2.3. Data Extraction", "2.4. Methods", "2.4.1. Questionnaires Used in the Studies", "2.4.2. QoL Questionnaires", "2.4.3. Nutritional Status Assessment Questionnaires and Clinical Parameters", "2.5. Statistical Analysis", "3. Results", "3.1. Impact of Nutritional Status on Outcome in Lung Cancer Patients", "3.2. QoL", "3.3. Nutritional Status and Overall Survival (OS)", "3.4. Nutritional Status and Time to Tumor Progression (TTP)", "4. Discussion", "5. Study Limitations", "6. Conclusions" ]
[ "Lung cancer is the leading cause of cancer-related death in Europe and worldwide [1]. The treatment of cancer, and in particular, non-small-cell lung carcinoma (NSCLC) has evolved in the last few years. Patients with metastatic NSCLS can now receive treatment tailored to the specific alterations and mutations identified in the genes or proteins of their cancer [2]. These treatment options are associated with better response to treatment and longer survival, compared to the previous standard based on chemotherapy [3]. Despite these advances, however, the median overall survival for patients with metastatic NSCLC is still less than 1 year [3], and less than half of the patients see a significant decrease in their tumor burden with immunotherapy alone [4]. Researchers are constantly seeking to identify factors associated with treatment effectiveness and better response to immunotherapy. Among these factors, patient age, comorbidities, nutritional status, and weight loss during or before treatment have been proposed [5]. Published findings indicate that malnutrition and risk of malnutrition are correlated with time to tumor progression and overall survival [6,7,8,9,10,11,12,13,14]. Moreover, the cytokine IL-8 (interleukin 8) may be linked to cachexia [15].\nBetween 34.5% and 69% of the patients with lung cancer are at risk of malnutrition [16]. Malnutrition and, even more so, cachexia have been described as prognostic outcome parameters associated with poorer prognosis; lower treatment effectiveness due to poorer treatment tolerance, higher treatment cost, and more frequent hospitalizations; shorter survival; and poor QoL [5,6,7,8,9,10,11,12,13,14,17,18,19]. Unfortunately, even though hospitalized patients undergo obligatory nutritional assessment, malnutrition, sarcopenia, and cachexia still often go undiagnosed and untreated [20]. Patients with advanced cancers and those who have had multiple hospitalizations are most at risk. Notably, the treatment itself often affects patients’ nutritional status by causing symptoms such as appetite loss, dysphagia, nausea, vomiting, diarrhea, and ulcerations of the oral or intestinal mucosa [21]. \nThe diagnosis of nutritional disorders in patients with lung cancer is not sufficient. It is equally important to differentiate between body weight and body composition problems. Malnutrition may lead to poorer physical and mental functioning and significantly affect patients’ clinical condition [22]. Cancer-related malnutrition is associated with metabolic disorders, which may not respond to nutrient supplementation [16]. Cachexia manifests with rapid weight loss, appetite dysfunction, and early satiety [16]. It is also accompanied by general weakness, fatigue, weakened immunity, and poor overall condition. Patients may experience poorer physical performance, difficulties in daily activities, and reduced mobility, resulting in more dependence on others, difficulties in family and social life, lower mood, and feelings of loneliness and isolation. Lung cancer-related skeletal muscle wasting (sarcopenia) has been linked to shorter survival, reduced tolerance to chemotherapy, decreased QoL, and diminished functional ability [22]. In lung cancer patients, nutritional deficiencies are the result of insufficient calorie intake [20]. Nutritional status assessment and nutritional interventions must be included as an integral part of treatment in the lung cancer patient population. \nResearchers have described an adverse association of weight loss, both before and after diagnosis, with shorter survival and a higher risk of death; conversely, there is evidence of a beneficial relationship between higher body weight (with a BMI > 23) and better outcome, including longer survival, in lung cancer patients [23]. A strong correlation between weight loss and QoL in lung cancer patients has also been demonstrated [5], but no clear evidence is available to guide strategies for the implementation of integrated nutritional care standards that would provide comprehensive benefits in terms of improving treatment effectiveness, patient functioning, and QoL [5]. The literature often focuses on cancer patients’ nutritional status or their QoL and links one of the two with the clinical aspects of treatment. However, papers linking all these elements and evaluating their interrelationships remain scarce. \nQuality of life (QoL) and physical status assessment provides valuable prognostic data on lung cancer patients. The identification of factors significant for a patient, affecting their reported QoL, is extremely important. Therefore, the purpose of this study was to evaluate the relationship between nutritional status and outcome in lung cancer patients. Following previous publications, we defined outcome as including QoL, mortality, disability, and time of hospitalization [6,7,8,9,10,11,12,13,14,17,18,19].", " 2.1. Search Strategies We performed a systematic search of the Pubmed/MEDLINE databases per the Cochrane guidelines to conduct a meta-analysis consistent with the PRISMA (Preferred Reporting Items for Systematic review and Meta-Analysis) statement (Figure 1) [24].\nFirst, we identified all published studies that addressed the relationship between nutritional status and outcome in patients treated for lung cancer and used the terms (lung cancer [Title/Abstract] AND (malnutrition [Title/Abstract] OR nutrition [Title/Abstract] AND (quality of life [Title/Abstract] OR well-being [Title/Abstract] OR health-related quality of life [Title/Abstract] OR outcome), yielding 246 papers. The search limits were defined as “English” (language), “1 January 2000,” and “31 December 2021” (publication date), Adult +19, and full text (96).\nThe exclusion criteria were as follows: review articles, meta-analyses, case studies, study protocols, no numerical data, no assessment of outcome, and duplicates. Subsequently, three reviewers (JP, NŚL, and MC) selected relevant studies for inclusion by examining the remaining titles, abstracts, or full papers (n = 12). Their analysis considered publication bias, selective reporting of research, and duplication of publications. To ascertain the validity of eligible randomized trials, reviewers were working independently to reliably determine the adequacy of randomization and concealment of allocation, blinding of patients, data collectors, and outcome assessors. Disagreements were resolved by consensus discussion. The meta-analyses were performed by computing relative risks (RRs) using the random effects model. Quantitative analyses were performed on an intention-to-treat basis and were confined to data derived from the follow-up period. RRs and 95% confidence intervals for each type of intervention were calculated.\nAt the first stage, all records were identified from searches of the electronic databases. At the second stage, three researchers (JP, NŚL, and MC) independently screened the titles and abstracts to identify potentially eligible studies and remove duplicates. At the third stage, studies that were potentially eligible were selected for full-text review. Disagreements were resolved by consensus discussion. Ultimately, 12 full-text papers were included in subsequent statistical analyses (Figure 1 and Table 1). We made every effort to include all primary studies meeting the adopted criteria in our review. The quality of the primary studies was assessed, and the extent to which the studies met the reliability criteria, if at all, was determined. The process of selecting and evaluating primary studies was repeated.\nWe performed a systematic search of the Pubmed/MEDLINE databases per the Cochrane guidelines to conduct a meta-analysis consistent with the PRISMA (Preferred Reporting Items for Systematic review and Meta-Analysis) statement (Figure 1) [24].\nFirst, we identified all published studies that addressed the relationship between nutritional status and outcome in patients treated for lung cancer and used the terms (lung cancer [Title/Abstract] AND (malnutrition [Title/Abstract] OR nutrition [Title/Abstract] AND (quality of life [Title/Abstract] OR well-being [Title/Abstract] OR health-related quality of life [Title/Abstract] OR outcome), yielding 246 papers. The search limits were defined as “English” (language), “1 January 2000,” and “31 December 2021” (publication date), Adult +19, and full text (96).\nThe exclusion criteria were as follows: review articles, meta-analyses, case studies, study protocols, no numerical data, no assessment of outcome, and duplicates. Subsequently, three reviewers (JP, NŚL, and MC) selected relevant studies for inclusion by examining the remaining titles, abstracts, or full papers (n = 12). Their analysis considered publication bias, selective reporting of research, and duplication of publications. To ascertain the validity of eligible randomized trials, reviewers were working independently to reliably determine the adequacy of randomization and concealment of allocation, blinding of patients, data collectors, and outcome assessors. Disagreements were resolved by consensus discussion. The meta-analyses were performed by computing relative risks (RRs) using the random effects model. Quantitative analyses were performed on an intention-to-treat basis and were confined to data derived from the follow-up period. RRs and 95% confidence intervals for each type of intervention were calculated.\nAt the first stage, all records were identified from searches of the electronic databases. At the second stage, three researchers (JP, NŚL, and MC) independently screened the titles and abstracts to identify potentially eligible studies and remove duplicates. At the third stage, studies that were potentially eligible were selected for full-text review. Disagreements were resolved by consensus discussion. Ultimately, 12 full-text papers were included in subsequent statistical analyses (Figure 1 and Table 1). We made every effort to include all primary studies meeting the adopted criteria in our review. The quality of the primary studies was assessed, and the extent to which the studies met the reliability criteria, if at all, was determined. The process of selecting and evaluating primary studies was repeated.\n 2.2. Description of the Included Studies The 12 studies included in the meta-analysis [6,7,8,9,10,11,12,13,14,17,18,19] were performed in 9 countries in 4 continents. The meta-analysis included research papers published in English in the years 2000–2021 in one of the specified databases. Studies on children, other meta-analyses, review articles, study protocols, duplicates, and studies with incomplete data were excluded from the meta-analysis. \nIn the analyzed studies, patient inclusion criteria were as follows: written informed consent (4 studies); lung cancer diagnosis confirmed by histopathological examination (5 studies); age above 18 years (4 studies), understanding the questionnaire items (1 study); patients with stomach, colon, lung, esophageal, liver, or pancreaticobiliary (pancreas, common bile duct, ampulla of Vater, and gallbladder) cancer (1 study); age between 20 and 80 years (1 study); hemoglobin level >9.0 g/dL (1 study); absolute neutrophil count >1500/mm3 (1 study); platelet count >100,000/mm3 (1 study); total bilirubin <3.0 mg/dL (1 study), creatinine <1.5 mg/dL (1 study); Eastern Cooperative Oncology Group (ECOG) score of ≤2 (3 studies); eligibility to receive paclitaxel (175 mg/m2) and cisplatin (80 mg/m2) as first-line palliative chemotherapy every 3 weeks for at least two and a maximum of six cycles (1 study); treatment with cisplatin-based chemotherapy and concurrent thoracic radiotherapy followed by surgical resection (1 study); pathologically proven mediastinal lymph node involvement (N2 or N3 disease), by transbronchial fine needle aspiration and/or by esophageal ultrasonography (endoscopic ultrasound-guided fine needle aspiration) or mediastinoscopy (1 study); superior sulcus tumor (SST; 1 study); tumor stage cT4 on the basis of a combination of clinical signs (e.g., neurological) and/or imaging studies such as computed tomography scan or magnetic resonance imaging (e.g., involvement of vertebra; 1 study); ability to tolerate cisplatin-based chemotherapy (1 study); measurable, non-irradiated disease according to the Response Evaluation Criteria in Solid Tumors (RECIST; 1 study); adequate functional reserve of the major organ systems (1 study).\nPatient exclusion criteria were as follows: uncertain cancer diagnosis (1 study); lack of consent to participate in the study (2 studies); coexistence of other malignant tumors (1 study); heart failure exacerbation (2 studies); severe chronic obstructive pulmonary disease (1 study); asthmatic condition (1 study); hemodynamic instability (1 study); cognitive impairments (1 study); unstable angina or myocardial infarction within the past 6 months (1 study); significant arrhythmias requiring medication (1 study); conduction abnormalities such as greater than second-degree atrioventricular block (1 study); uncontrolled hypertension (1 study); liver cirrhosis (child class B and C; 2 studies); interstitial pneumonia (1 study); pulmonary adenomatosis (1 study); psychiatric disorders that may interfere with protocol compliance (1 study); unstable diabetes mellitus (1 study); uncontrolled ascites or pleural effusions as well as active infections (4 studies); poor functional performance status (1 study); previous treatment (surgical, radiotherapy, and/or chemotherapy; 1 study); a history of previous malignancies (other than non-melanoma skin tumors) within the last 5 years (2 studies); severe comorbid condition(s) (1 study); anti-inflammatory treatment (2 studies); chronic diseases (i.e., chronic renal failure; 1 study); broncho-esophageal fistula without an esophageal obstruction (1 study); stricture due to radiotherapy (1 study); patients who underwent the procedure because of an impaired swallowing function itself, such as central nervous systemic, oropharyngeal or transient postoperative problems (1 study); patients who underwent the procedure previously at another hospital (1 study); and malignant dysphagia due to other primary cancers (1 study).\nThe 12 studies included in the meta-analysis [6,7,8,9,10,11,12,13,14,17,18,19] were performed in 9 countries in 4 continents. The meta-analysis included research papers published in English in the years 2000–2021 in one of the specified databases. Studies on children, other meta-analyses, review articles, study protocols, duplicates, and studies with incomplete data were excluded from the meta-analysis. \nIn the analyzed studies, patient inclusion criteria were as follows: written informed consent (4 studies); lung cancer diagnosis confirmed by histopathological examination (5 studies); age above 18 years (4 studies), understanding the questionnaire items (1 study); patients with stomach, colon, lung, esophageal, liver, or pancreaticobiliary (pancreas, common bile duct, ampulla of Vater, and gallbladder) cancer (1 study); age between 20 and 80 years (1 study); hemoglobin level >9.0 g/dL (1 study); absolute neutrophil count >1500/mm3 (1 study); platelet count >100,000/mm3 (1 study); total bilirubin <3.0 mg/dL (1 study), creatinine <1.5 mg/dL (1 study); Eastern Cooperative Oncology Group (ECOG) score of ≤2 (3 studies); eligibility to receive paclitaxel (175 mg/m2) and cisplatin (80 mg/m2) as first-line palliative chemotherapy every 3 weeks for at least two and a maximum of six cycles (1 study); treatment with cisplatin-based chemotherapy and concurrent thoracic radiotherapy followed by surgical resection (1 study); pathologically proven mediastinal lymph node involvement (N2 or N3 disease), by transbronchial fine needle aspiration and/or by esophageal ultrasonography (endoscopic ultrasound-guided fine needle aspiration) or mediastinoscopy (1 study); superior sulcus tumor (SST; 1 study); tumor stage cT4 on the basis of a combination of clinical signs (e.g., neurological) and/or imaging studies such as computed tomography scan or magnetic resonance imaging (e.g., involvement of vertebra; 1 study); ability to tolerate cisplatin-based chemotherapy (1 study); measurable, non-irradiated disease according to the Response Evaluation Criteria in Solid Tumors (RECIST; 1 study); adequate functional reserve of the major organ systems (1 study).\nPatient exclusion criteria were as follows: uncertain cancer diagnosis (1 study); lack of consent to participate in the study (2 studies); coexistence of other malignant tumors (1 study); heart failure exacerbation (2 studies); severe chronic obstructive pulmonary disease (1 study); asthmatic condition (1 study); hemodynamic instability (1 study); cognitive impairments (1 study); unstable angina or myocardial infarction within the past 6 months (1 study); significant arrhythmias requiring medication (1 study); conduction abnormalities such as greater than second-degree atrioventricular block (1 study); uncontrolled hypertension (1 study); liver cirrhosis (child class B and C; 2 studies); interstitial pneumonia (1 study); pulmonary adenomatosis (1 study); psychiatric disorders that may interfere with protocol compliance (1 study); unstable diabetes mellitus (1 study); uncontrolled ascites or pleural effusions as well as active infections (4 studies); poor functional performance status (1 study); previous treatment (surgical, radiotherapy, and/or chemotherapy; 1 study); a history of previous malignancies (other than non-melanoma skin tumors) within the last 5 years (2 studies); severe comorbid condition(s) (1 study); anti-inflammatory treatment (2 studies); chronic diseases (i.e., chronic renal failure; 1 study); broncho-esophageal fistula without an esophageal obstruction (1 study); stricture due to radiotherapy (1 study); patients who underwent the procedure because of an impaired swallowing function itself, such as central nervous systemic, oropharyngeal or transient postoperative problems (1 study); patients who underwent the procedure previously at another hospital (1 study); and malignant dysphagia due to other primary cancers (1 study).\n 2.3. Data Extraction An initial database was developed, pilot-tested, and refined to ensure consistency with the outcomes reported in the literature. Data were independently extracted from eligible articles by three reviewers. Data extraction discrepancies between the reviewers were resolved by consensus.\nThe following information was extracted from each included trial: (1) characteristics of trial participants (including age, gender, stage, and severity of disease), the trial’s inclusion and exclusion criteria; (2) type of intervention; (3) type of outcome measure. Risk of bias was established using the Newcastle–Ottawa scale. \nAn initial database was developed, pilot-tested, and refined to ensure consistency with the outcomes reported in the literature. Data were independently extracted from eligible articles by three reviewers. Data extraction discrepancies between the reviewers were resolved by consensus.\nThe following information was extracted from each included trial: (1) characteristics of trial participants (including age, gender, stage, and severity of disease), the trial’s inclusion and exclusion criteria; (2) type of intervention; (3) type of outcome measure. Risk of bias was established using the Newcastle–Ottawa scale. \n 2.4. Methods 2.4.1. Questionnaires Used in the Studies In the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2).\nIn the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2).\n 2.4.2. QoL Questionnaires The EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25].\nThe QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26].\nThe EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25].\nThe QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26].\n 2.4.3. Nutritional Status Assessment Questionnaires and Clinical Parameters The MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27].\nSubjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28].\nAC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29].\nAlbumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30].\nThe MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27].\nSubjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28].\nAC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29].\nAlbumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30].\n 2.4.1. Questionnaires Used in the Studies In the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2).\nIn the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2).\n 2.4.2. QoL Questionnaires The EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25].\nThe QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26].\nThe EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25].\nThe QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26].\n 2.4.3. Nutritional Status Assessment Questionnaires and Clinical Parameters The MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27].\nSubjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28].\nAC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29].\nAlbumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30].\nThe MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27].\nSubjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28].\nAC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29].\nAlbumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30].\n 2.5. Statistical Analysis Our meta-analysis was performed using the Statistica 13.3 software (TIBCO Software Inc., Palo Alto, CA, USA). The heterogeneity of the primary study results was assessed using the Q statistic based on χ2 and its associated p-value. If the heterogeneity test result was significant (p < 0.1), the meta-analysis was performed using the random effects model. For p > 0.1, the meta-analysis relied on the fixed effects model. The percentage of heterogeneity between study estimates was determined using the I2 statistic. \nFor differences in QoL between patients in different nutritional status groups, the effect size was measured based on the corrected standardized mean difference—Hedge’s g and its 95% confidence interval (CI). The statistic was calculated based on the information on mean values, their distribution, and sample size in groups.\nFor overall survival (OS) and time to tumor progression (TTP), we used hazard ratios (HR) calculated using the Cox regression coefficient. \nAny publication bias was estimated using Egger’s test. We also performed sensitivity analysis using the trim-and-fill method and funnel plot symmetry analysis to detect the impact of publication bias on summary results. Findings at p < 0.05 were considered statistically significant.\nOur meta-analysis was performed using the Statistica 13.3 software (TIBCO Software Inc., Palo Alto, CA, USA). The heterogeneity of the primary study results was assessed using the Q statistic based on χ2 and its associated p-value. If the heterogeneity test result was significant (p < 0.1), the meta-analysis was performed using the random effects model. For p > 0.1, the meta-analysis relied on the fixed effects model. The percentage of heterogeneity between study estimates was determined using the I2 statistic. \nFor differences in QoL between patients in different nutritional status groups, the effect size was measured based on the corrected standardized mean difference—Hedge’s g and its 95% confidence interval (CI). The statistic was calculated based on the information on mean values, their distribution, and sample size in groups.\nFor overall survival (OS) and time to tumor progression (TTP), we used hazard ratios (HR) calculated using the Cox regression coefficient. \nAny publication bias was estimated using Egger’s test. We also performed sensitivity analysis using the trim-and-fill method and funnel plot symmetry analysis to detect the impact of publication bias on summary results. Findings at p < 0.05 were considered statistically significant.", "We performed a systematic search of the Pubmed/MEDLINE databases per the Cochrane guidelines to conduct a meta-analysis consistent with the PRISMA (Preferred Reporting Items for Systematic review and Meta-Analysis) statement (Figure 1) [24].\nFirst, we identified all published studies that addressed the relationship between nutritional status and outcome in patients treated for lung cancer and used the terms (lung cancer [Title/Abstract] AND (malnutrition [Title/Abstract] OR nutrition [Title/Abstract] AND (quality of life [Title/Abstract] OR well-being [Title/Abstract] OR health-related quality of life [Title/Abstract] OR outcome), yielding 246 papers. The search limits were defined as “English” (language), “1 January 2000,” and “31 December 2021” (publication date), Adult +19, and full text (96).\nThe exclusion criteria were as follows: review articles, meta-analyses, case studies, study protocols, no numerical data, no assessment of outcome, and duplicates. Subsequently, three reviewers (JP, NŚL, and MC) selected relevant studies for inclusion by examining the remaining titles, abstracts, or full papers (n = 12). Their analysis considered publication bias, selective reporting of research, and duplication of publications. To ascertain the validity of eligible randomized trials, reviewers were working independently to reliably determine the adequacy of randomization and concealment of allocation, blinding of patients, data collectors, and outcome assessors. Disagreements were resolved by consensus discussion. The meta-analyses were performed by computing relative risks (RRs) using the random effects model. Quantitative analyses were performed on an intention-to-treat basis and were confined to data derived from the follow-up period. RRs and 95% confidence intervals for each type of intervention were calculated.\nAt the first stage, all records were identified from searches of the electronic databases. At the second stage, three researchers (JP, NŚL, and MC) independently screened the titles and abstracts to identify potentially eligible studies and remove duplicates. At the third stage, studies that were potentially eligible were selected for full-text review. Disagreements were resolved by consensus discussion. Ultimately, 12 full-text papers were included in subsequent statistical analyses (Figure 1 and Table 1). We made every effort to include all primary studies meeting the adopted criteria in our review. The quality of the primary studies was assessed, and the extent to which the studies met the reliability criteria, if at all, was determined. The process of selecting and evaluating primary studies was repeated.", "The 12 studies included in the meta-analysis [6,7,8,9,10,11,12,13,14,17,18,19] were performed in 9 countries in 4 continents. The meta-analysis included research papers published in English in the years 2000–2021 in one of the specified databases. Studies on children, other meta-analyses, review articles, study protocols, duplicates, and studies with incomplete data were excluded from the meta-analysis. \nIn the analyzed studies, patient inclusion criteria were as follows: written informed consent (4 studies); lung cancer diagnosis confirmed by histopathological examination (5 studies); age above 18 years (4 studies), understanding the questionnaire items (1 study); patients with stomach, colon, lung, esophageal, liver, or pancreaticobiliary (pancreas, common bile duct, ampulla of Vater, and gallbladder) cancer (1 study); age between 20 and 80 years (1 study); hemoglobin level >9.0 g/dL (1 study); absolute neutrophil count >1500/mm3 (1 study); platelet count >100,000/mm3 (1 study); total bilirubin <3.0 mg/dL (1 study), creatinine <1.5 mg/dL (1 study); Eastern Cooperative Oncology Group (ECOG) score of ≤2 (3 studies); eligibility to receive paclitaxel (175 mg/m2) and cisplatin (80 mg/m2) as first-line palliative chemotherapy every 3 weeks for at least two and a maximum of six cycles (1 study); treatment with cisplatin-based chemotherapy and concurrent thoracic radiotherapy followed by surgical resection (1 study); pathologically proven mediastinal lymph node involvement (N2 or N3 disease), by transbronchial fine needle aspiration and/or by esophageal ultrasonography (endoscopic ultrasound-guided fine needle aspiration) or mediastinoscopy (1 study); superior sulcus tumor (SST; 1 study); tumor stage cT4 on the basis of a combination of clinical signs (e.g., neurological) and/or imaging studies such as computed tomography scan or magnetic resonance imaging (e.g., involvement of vertebra; 1 study); ability to tolerate cisplatin-based chemotherapy (1 study); measurable, non-irradiated disease according to the Response Evaluation Criteria in Solid Tumors (RECIST; 1 study); adequate functional reserve of the major organ systems (1 study).\nPatient exclusion criteria were as follows: uncertain cancer diagnosis (1 study); lack of consent to participate in the study (2 studies); coexistence of other malignant tumors (1 study); heart failure exacerbation (2 studies); severe chronic obstructive pulmonary disease (1 study); asthmatic condition (1 study); hemodynamic instability (1 study); cognitive impairments (1 study); unstable angina or myocardial infarction within the past 6 months (1 study); significant arrhythmias requiring medication (1 study); conduction abnormalities such as greater than second-degree atrioventricular block (1 study); uncontrolled hypertension (1 study); liver cirrhosis (child class B and C; 2 studies); interstitial pneumonia (1 study); pulmonary adenomatosis (1 study); psychiatric disorders that may interfere with protocol compliance (1 study); unstable diabetes mellitus (1 study); uncontrolled ascites or pleural effusions as well as active infections (4 studies); poor functional performance status (1 study); previous treatment (surgical, radiotherapy, and/or chemotherapy; 1 study); a history of previous malignancies (other than non-melanoma skin tumors) within the last 5 years (2 studies); severe comorbid condition(s) (1 study); anti-inflammatory treatment (2 studies); chronic diseases (i.e., chronic renal failure; 1 study); broncho-esophageal fistula without an esophageal obstruction (1 study); stricture due to radiotherapy (1 study); patients who underwent the procedure because of an impaired swallowing function itself, such as central nervous systemic, oropharyngeal or transient postoperative problems (1 study); patients who underwent the procedure previously at another hospital (1 study); and malignant dysphagia due to other primary cancers (1 study).", "An initial database was developed, pilot-tested, and refined to ensure consistency with the outcomes reported in the literature. Data were independently extracted from eligible articles by three reviewers. Data extraction discrepancies between the reviewers were resolved by consensus.\nThe following information was extracted from each included trial: (1) characteristics of trial participants (including age, gender, stage, and severity of disease), the trial’s inclusion and exclusion criteria; (2) type of intervention; (3) type of outcome measure. Risk of bias was established using the Newcastle–Ottawa scale. ", " 2.4.1. Questionnaires Used in the Studies In the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2).\nIn the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2).\n 2.4.2. QoL Questionnaires The EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25].\nThe QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26].\nThe EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25].\nThe QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26].\n 2.4.3. Nutritional Status Assessment Questionnaires and Clinical Parameters The MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27].\nSubjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28].\nAC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29].\nAlbumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30].\nThe MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27].\nSubjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28].\nAC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29].\nAlbumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30].", "In the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2).", "The EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25].\nThe QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26].", "The MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27].\nSubjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28].\nAC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29].\nAlbumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30].", "Our meta-analysis was performed using the Statistica 13.3 software (TIBCO Software Inc., Palo Alto, CA, USA). The heterogeneity of the primary study results was assessed using the Q statistic based on χ2 and its associated p-value. If the heterogeneity test result was significant (p < 0.1), the meta-analysis was performed using the random effects model. For p > 0.1, the meta-analysis relied on the fixed effects model. The percentage of heterogeneity between study estimates was determined using the I2 statistic. \nFor differences in QoL between patients in different nutritional status groups, the effect size was measured based on the corrected standardized mean difference—Hedge’s g and its 95% confidence interval (CI). The statistic was calculated based on the information on mean values, their distribution, and sample size in groups.\nFor overall survival (OS) and time to tumor progression (TTP), we used hazard ratios (HR) calculated using the Cox regression coefficient. \nAny publication bias was estimated using Egger’s test. We also performed sensitivity analysis using the trim-and-fill method and funnel plot symmetry analysis to detect the impact of publication bias on summary results. Findings at p < 0.05 were considered statistically significant.", " 3.1. Impact of Nutritional Status on Outcome in Lung Cancer Patients The systematic review and meta-analysis looked at selected QoL domains, overall survival (OS), and time to tumor progression (TTP) in the population of lung cancer patients broken down by nutritional status. The premise of the review also included the significance of nutritional status for disability, rehospitalization, and mortality in lung cancer patients, but no papers addressing all these endpoints were found.\nIn the analyzed papers, patients’ nutritional status was evaluated using questionnaires (MNA or SGA), or measures such as BMI, weight loss (WL), albumin levels, and anorexia or cachexia. Due to the different types of information available on patients’ nutritional status, we adopted a dichotomous classification into well-nourished and malnourished patients. The malnourished group included categories B and C, i.e., at risk of malnutrition or malnourished in the MNA and moderately or severely malnourished in the SGA; underweight patients (BMI < 18 kg/m2); patients with involuntary weight loss >5%; with albumin levels <3.5 mg/dL; and with anorexia (A/SC ≤ 32; n = 737).\nQoL in six domains was evaluated using the EORTC QLQ-C30 or FAACT questionnaire.\nThe systematic review and meta-analysis looked at selected QoL domains, overall survival (OS), and time to tumor progression (TTP) in the population of lung cancer patients broken down by nutritional status. The premise of the review also included the significance of nutritional status for disability, rehospitalization, and mortality in lung cancer patients, but no papers addressing all these endpoints were found.\nIn the analyzed papers, patients’ nutritional status was evaluated using questionnaires (MNA or SGA), or measures such as BMI, weight loss (WL), albumin levels, and anorexia or cachexia. Due to the different types of information available on patients’ nutritional status, we adopted a dichotomous classification into well-nourished and malnourished patients. The malnourished group included categories B and C, i.e., at risk of malnutrition or malnourished in the MNA and moderately or severely malnourished in the SGA; underweight patients (BMI < 18 kg/m2); patients with involuntary weight loss >5%; with albumin levels <3.5 mg/dL; and with anorexia (A/SC ≤ 32; n = 737).\nQoL in six domains was evaluated using the EORTC QLQ-C30 or FAACT questionnaire.\n 3.2. QoL QoL was assessed in a group of 289 patients with normal nutritional status and 737 patients who were malnourished or at risk of malnutrition. The mean patient age was 63.1 ± 2.1 years. A total of 56.7% of the studied patients were male. QoL in selected domains for the patients differing by nutritional status was evaluated using the EORTC QLQ-C30 or FAACT questionnaire. Global QoL was assessed in six studies (Figure 2). In these six studies, clear heterogeneity was identified (Q = 173.2, df = 5, p < 0.001; I2 = 97.1%), and therefore, the random effects model was used for the analysis. Summary results suggest a significant difference in global QoL between well-nourished and malnourished patients (g = 1.52, 95% CI = 0.67 to 2.36, p< 0.001). \nPublication bias was evaluated using the trim-and-fill method and funnel plots (Figure 3). The impact of studies included in the meta-analysis on the final result was evaluated by sensitivity analysis (Figure 4).\nQoL in terms of the physical, social, and role functioning domains of the EORTC QLQ-C30 was evaluated in five studies. Emotional functioning was evaluated in four studies, and cognitive functioning in only three. Clear heterogeneity was found in all of these studies. Heterogeneity analysis results are listed in Table 3.\nDue to the clear heterogeneity of the studies included in the meta-analysis, random effects models were applied. Our findings, shown in forest graphs (Figure 5), demonstrate that patients with a good nutritional status have a better QoL than malnourished patients in the following functioning domains: physical (g = 1.22, 95% CI = 1.19 to 1.46, p < 0.001), role (g = 1.45, 95% CI = 1.31 to 1.59, p < 0.001), emotional (g = 1.10, 95% CI = 0.97 to 1.24, p < 0.001), cognitive (g = 0.91, 95% CI = 0.76 to 1.06, p < 0.001), and social (g = 1.41, 95% CI = 1.27 to 1.56, p < 0.001).\nQoL was assessed in a group of 289 patients with normal nutritional status and 737 patients who were malnourished or at risk of malnutrition. The mean patient age was 63.1 ± 2.1 years. A total of 56.7% of the studied patients were male. QoL in selected domains for the patients differing by nutritional status was evaluated using the EORTC QLQ-C30 or FAACT questionnaire. Global QoL was assessed in six studies (Figure 2). In these six studies, clear heterogeneity was identified (Q = 173.2, df = 5, p < 0.001; I2 = 97.1%), and therefore, the random effects model was used for the analysis. Summary results suggest a significant difference in global QoL between well-nourished and malnourished patients (g = 1.52, 95% CI = 0.67 to 2.36, p< 0.001). \nPublication bias was evaluated using the trim-and-fill method and funnel plots (Figure 3). The impact of studies included in the meta-analysis on the final result was evaluated by sensitivity analysis (Figure 4).\nQoL in terms of the physical, social, and role functioning domains of the EORTC QLQ-C30 was evaluated in five studies. Emotional functioning was evaluated in four studies, and cognitive functioning in only three. Clear heterogeneity was found in all of these studies. Heterogeneity analysis results are listed in Table 3.\nDue to the clear heterogeneity of the studies included in the meta-analysis, random effects models were applied. Our findings, shown in forest graphs (Figure 5), demonstrate that patients with a good nutritional status have a better QoL than malnourished patients in the following functioning domains: physical (g = 1.22, 95% CI = 1.19 to 1.46, p < 0.001), role (g = 1.45, 95% CI = 1.31 to 1.59, p < 0.001), emotional (g = 1.10, 95% CI = 0.97 to 1.24, p < 0.001), cognitive (g = 0.91, 95% CI = 0.76 to 1.06, p < 0.001), and social (g = 1.41, 95% CI = 1.27 to 1.56, p < 0.001).\n 3.3. Nutritional Status and Overall Survival (OS) The meta-analysis included nine papers providing data on the studied lung cancer patients’ overall survival (OS) and nutritional status (Figure 6). In total, the analysis included 1560 patients aged 64.6 ± 16.3 years, of whom 1064 (68.2%) were male. Based on the available data on OS, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In these nine studies, clear heterogeneity was identified (Q = 69.6, df = 8, p < 0.001; I2 = 93.3%), and therefore, the random effect model was used for the analysis. The heterogeneity of the observed values may result, among other factors, from differences in sampling, e.g., in terms of disease stage, which is why the conclusion that malnourished patients are at more risk of death should be treated with caution. The asymmetrical concentration of studies in the funnel plot (Figure 5) indicates a possible systematic publication bias. However, summary results suggest that the risk of death is indeed significantly higher in malnourished than in well-nourished patients (HR = 1.53, 95% CI = 1.25 to 1.86, p < 0.001). \nThe meta-analysis included nine papers providing data on the studied lung cancer patients’ overall survival (OS) and nutritional status (Figure 6). In total, the analysis included 1560 patients aged 64.6 ± 16.3 years, of whom 1064 (68.2%) were male. Based on the available data on OS, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In these nine studies, clear heterogeneity was identified (Q = 69.6, df = 8, p < 0.001; I2 = 93.3%), and therefore, the random effect model was used for the analysis. The heterogeneity of the observed values may result, among other factors, from differences in sampling, e.g., in terms of disease stage, which is why the conclusion that malnourished patients are at more risk of death should be treated with caution. The asymmetrical concentration of studies in the funnel plot (Figure 5) indicates a possible systematic publication bias. However, summary results suggest that the risk of death is indeed significantly higher in malnourished than in well-nourished patients (HR = 1.53, 95% CI = 1.25 to 1.86, p < 0.001). \n 3.4. Nutritional Status and Time to Tumor Progression (TTP) The meta-analysis included four papers providing data on time to tumor progression (TTP) and nutritional status in the studied lung cancer patient groups (Figure 7). Based on the available data on TTP, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In total, the analysis included 395 patients aged 64.2 ± 15.8 years, of whom 319 (80.7%) were male. In these four studies, clear homogeneity was identified (Q = 1.28, df = 3, p < 0.734; I2 = 0.0%), and therefore, the fixed effects model was used for the analysis. Meta-analysis results warrant the conclusion that nutritional status is significantly associated with survival, as patients with a poorer nutritional status were at more risk of cancer relapse. \nThe meta-analysis included four papers providing data on time to tumor progression (TTP) and nutritional status in the studied lung cancer patient groups (Figure 7). Based on the available data on TTP, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In total, the analysis included 395 patients aged 64.2 ± 15.8 years, of whom 319 (80.7%) were male. In these four studies, clear homogeneity was identified (Q = 1.28, df = 3, p < 0.734; I2 = 0.0%), and therefore, the fixed effects model was used for the analysis. Meta-analysis results warrant the conclusion that nutritional status is significantly associated with survival, as patients with a poorer nutritional status were at more risk of cancer relapse. ", "The systematic review and meta-analysis looked at selected QoL domains, overall survival (OS), and time to tumor progression (TTP) in the population of lung cancer patients broken down by nutritional status. The premise of the review also included the significance of nutritional status for disability, rehospitalization, and mortality in lung cancer patients, but no papers addressing all these endpoints were found.\nIn the analyzed papers, patients’ nutritional status was evaluated using questionnaires (MNA or SGA), or measures such as BMI, weight loss (WL), albumin levels, and anorexia or cachexia. Due to the different types of information available on patients’ nutritional status, we adopted a dichotomous classification into well-nourished and malnourished patients. The malnourished group included categories B and C, i.e., at risk of malnutrition or malnourished in the MNA and moderately or severely malnourished in the SGA; underweight patients (BMI < 18 kg/m2); patients with involuntary weight loss >5%; with albumin levels <3.5 mg/dL; and with anorexia (A/SC ≤ 32; n = 737).\nQoL in six domains was evaluated using the EORTC QLQ-C30 or FAACT questionnaire.", "QoL was assessed in a group of 289 patients with normal nutritional status and 737 patients who were malnourished or at risk of malnutrition. The mean patient age was 63.1 ± 2.1 years. A total of 56.7% of the studied patients were male. QoL in selected domains for the patients differing by nutritional status was evaluated using the EORTC QLQ-C30 or FAACT questionnaire. Global QoL was assessed in six studies (Figure 2). In these six studies, clear heterogeneity was identified (Q = 173.2, df = 5, p < 0.001; I2 = 97.1%), and therefore, the random effects model was used for the analysis. Summary results suggest a significant difference in global QoL between well-nourished and malnourished patients (g = 1.52, 95% CI = 0.67 to 2.36, p< 0.001). \nPublication bias was evaluated using the trim-and-fill method and funnel plots (Figure 3). The impact of studies included in the meta-analysis on the final result was evaluated by sensitivity analysis (Figure 4).\nQoL in terms of the physical, social, and role functioning domains of the EORTC QLQ-C30 was evaluated in five studies. Emotional functioning was evaluated in four studies, and cognitive functioning in only three. Clear heterogeneity was found in all of these studies. Heterogeneity analysis results are listed in Table 3.\nDue to the clear heterogeneity of the studies included in the meta-analysis, random effects models were applied. Our findings, shown in forest graphs (Figure 5), demonstrate that patients with a good nutritional status have a better QoL than malnourished patients in the following functioning domains: physical (g = 1.22, 95% CI = 1.19 to 1.46, p < 0.001), role (g = 1.45, 95% CI = 1.31 to 1.59, p < 0.001), emotional (g = 1.10, 95% CI = 0.97 to 1.24, p < 0.001), cognitive (g = 0.91, 95% CI = 0.76 to 1.06, p < 0.001), and social (g = 1.41, 95% CI = 1.27 to 1.56, p < 0.001).", "The meta-analysis included nine papers providing data on the studied lung cancer patients’ overall survival (OS) and nutritional status (Figure 6). In total, the analysis included 1560 patients aged 64.6 ± 16.3 years, of whom 1064 (68.2%) were male. Based on the available data on OS, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In these nine studies, clear heterogeneity was identified (Q = 69.6, df = 8, p < 0.001; I2 = 93.3%), and therefore, the random effect model was used for the analysis. The heterogeneity of the observed values may result, among other factors, from differences in sampling, e.g., in terms of disease stage, which is why the conclusion that malnourished patients are at more risk of death should be treated with caution. The asymmetrical concentration of studies in the funnel plot (Figure 5) indicates a possible systematic publication bias. However, summary results suggest that the risk of death is indeed significantly higher in malnourished than in well-nourished patients (HR = 1.53, 95% CI = 1.25 to 1.86, p < 0.001). ", "The meta-analysis included four papers providing data on time to tumor progression (TTP) and nutritional status in the studied lung cancer patient groups (Figure 7). Based on the available data on TTP, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In total, the analysis included 395 patients aged 64.2 ± 15.8 years, of whom 319 (80.7%) were male. In these four studies, clear homogeneity was identified (Q = 1.28, df = 3, p < 0.734; I2 = 0.0%), and therefore, the fixed effects model was used for the analysis. Meta-analysis results warrant the conclusion that nutritional status is significantly associated with survival, as patients with a poorer nutritional status were at more risk of cancer relapse. ", "The present meta-analysis is the first one to address the important matter of associations between nutritional status and overall survival, time to tumor progression, and QoL in patients treated for lung cancer. This shows that published studies comprehensively assessing patients’ nutritional status, clinical parameters, and QoL are scarce. The present findings suggest that the introduction of standards for nutritional status and clinical condition assessment in lung cancer patients should be considered.\nLung cancer and its treatment have an impact on patients’ nutritional status, as they affect their metabolism and contribute to reduced food intake. Research demonstrates that malnutrition is a predictor of morbidity, length of hospitalization, complications, and adverse events, and in patients with advanced cancers, it is a major factor in perioperative risk assessment [9]. Thus, malnutrition may affect the duration of hospitalization, incidence of cancer recurrences, and QoL of cancer patients [12,17,18,19]. Identifying and treating nutritional problems in this patient group may contribute to better prognosis and response to therapy and reduce complications associated with the disease and its treatment [31].\nThe present meta-analysis affirms the conclusion that QoL is associated with nutritional status [12,17,18,19]. Its results suggest a significant difference in global QoL between well-nourished and malnourished patients, with poorer QoL in the latter group. Similar findings concern the specific EORTC QLQ-C30 domains. Malnourished patients had poorer QoL in the physical, emotional, cognitive, social, and role functioning domains. \nProgressive weight loss often reduces physical fitness and QoL in patients with advanced lung cancer [17]. Available studies indicate a better QoL in well-nourished than in malnourished patients, especially in the “role functioning” domain, with a difference of 41.6 points. In Arrieta et al., FAACT scales were significantly associated with clinical parameters, including biochemical and nutritional variables, and strongly correlated with the appetite loss subscale of the QLQ-C30 questionnaire (r = −0.624) [6]. In addition, Gupta et al. emphasized that normally nourished patients had significantly lower symptom severity scores than those with malnutrition [32]. \nMalnutrition is an often-unrecognized and underestimated factor in the evaluation of morbidity and mortality risk. Few studies have as yet addressed the issue. The present meta-analysis shows that malnutrition is a risk factor for complications and exacerbations (relapse). In the study by Gioulbasanis et al., MNA classification was significantly associated with time to tumor progression in patients exposed to systemic therapy, and with OS in all accrued patients [11]. Malnourished patients are at more risk of death than normally nourished ones [7,8,9,10]. A higher baseline albumin level is positively correlated with survival [7,8]. Arrieta et al. showed that physical well-being (p < 0.0009), functional well-being (p = 0.004), and the anorexia/cachexia scale score (p = 0.029) were all strongly associated with overall survival [6]. Similarly, our meta-analysis shows shorter survival in malnourished patients than in those with a normal body weight. Jagos et al. documented a significant relationship between low serum albumin levels and low BMI with increased postoperative morbidity (major infection) and respiratory mortality, and in the present meta-analysis, nutritional assessment was based on the MNA and SGA scales [33]. Soh et al. demonstrated that the prognostic nutrition index (PNI) decreased significantly as treatment progressed [14]. Patients at clinical stage cT3/4 had a significantly lower PNI than those with cT1/2, whereas the extent of lymph node metastasis did not affect PNI. Moreover, high PNI before ICRT significantly correlated with better survival in patients with a locally advanced NSCLC, especially at clinical stage cT3/4 [14]. In the study by Turcott et al., BMI (<18.5 vs. 18.5–24.9 vs. 25 kg/m2) and the presence of anorexia were shown to be independently associated with OS [12]. \nAccording to the European Society of Parental and Enteral Nutrition (ESPEN) guidelines, malnutrition is diagnosed in patients with BMI <19.8, albumin levels <3.0, and transferrin levels <1.5, but in elderly lung cancer patients undergoing surgical treatment, cardiorespiratory function and the extent of resection should also be evaluated. In their study, Fiorelli et al. indicate that malnutrition is an additional risk factor for mortality within 1 year of the surgical intervention [9]. The authors state that nutritional support before and after surgery may provide major benefits, and in combination with multi-disciplinary care, it might facilitate a gradual physiological return to normal activity and positively influence the outcome [9]. Polański et al. showed that as few as 25% of the patients with NSCLC are normally nourished, and only these patients rate their QoL as good in all EORTC QLQ-C30 and LC-13 functioning scales, while experiencing less severe symptoms [17]. In the same paper, malnutrition correlated with poorer QoL and worse symptoms, and was an independent determinant of decreased QoL [17]. Notably, lung cancer symptoms are accompanied with poorer QoL, which is particularly affected by appetite loss, while the symptoms themselves have a major impact on appetite and food intake [17]. The authors agree that patients suffering from fever, anorexia, and weight loss are among those who do not respond to chemotherapy. Chemotherapy has no significant impact on respiratory function or nutritional status and does not improve QoL [17]. Besides the fact that a 5% weight loss in the induction period predisposed patients to shorter OS, van der Meij et al. found that the specific combination of being overweight with a 5% weight loss in the induction period was associated with both worse OS and PFS, which suggests that when malnutrition develops during induction CRT in overweight patients, it hinders both the surgical outcome and the long-term cancer outcome [13]. This is why the nutritional status of (overweight) patients undergoing CRT and surgical treatment for NSCLC should be monitored throughout the treatment period, not just at the beginning of therapy, and nutritional interventions should be an integral part of the treatment process in patients with lung cancer. The correct management model can be implemented if QoL assessment is included in clinical condition evaluation besides the monitored clinical parameters, with the obtained results continuously analyzed in terms of their impact.\nIn the practice of oncology, estimating baseline nutritional status by calculating percentage weight loss is an overly simplistic approach and, on the other hand, an in-depth assessment of nutritional status is impractical in many cases. An urgent and currently unmet need is to develop an accurate, practical, and non-time-consuming screening and/or assessment tool for nutritional status. MNA, SGA, or even BMI should be considered when assessing nutritional status in lung cancer patients and possibly in patients with other malignancies in which malnutrition occurs with equal frequency.", "Some of the studies included in the meta-analysis may not be properly blinded, as a description was missing. Though the quality of all included studies was high, nonblinded studies may introduce an inevitable systematic bias. Moreover, the criteria used to identify malnutrition in the patients differed between studies. The analyses of significant variables (QoL in specific domains, overall survival) were considerably heterogeneous. However, statistical findings did not change with the exclusion of individual studies in sensitivity analysis, which lends credibility to our conclusions. In the study, specific treatments and cancer stages were not considered as inclusion criteria. ", "Nutritional status is a significant clinical and prognostic parameter in the assessment of lung cancer treatment. Malnutrition is associated with poorer outcome in terms of overall survival, time to tumor progression, and QoL in patients treated for lung cancer. " ]
[ "intro", null, null, null, null, null, null, null, null, null, "results", "subjects", null, null, null, "discussion", null, "conclusions" ]
[ "nutrition", "lung cancer", "clinical outcome", "quality of life", "survival" ]
1. Introduction: Lung cancer is the leading cause of cancer-related death in Europe and worldwide [1]. The treatment of cancer, and in particular, non-small-cell lung carcinoma (NSCLC) has evolved in the last few years. Patients with metastatic NSCLS can now receive treatment tailored to the specific alterations and mutations identified in the genes or proteins of their cancer [2]. These treatment options are associated with better response to treatment and longer survival, compared to the previous standard based on chemotherapy [3]. Despite these advances, however, the median overall survival for patients with metastatic NSCLC is still less than 1 year [3], and less than half of the patients see a significant decrease in their tumor burden with immunotherapy alone [4]. Researchers are constantly seeking to identify factors associated with treatment effectiveness and better response to immunotherapy. Among these factors, patient age, comorbidities, nutritional status, and weight loss during or before treatment have been proposed [5]. Published findings indicate that malnutrition and risk of malnutrition are correlated with time to tumor progression and overall survival [6,7,8,9,10,11,12,13,14]. Moreover, the cytokine IL-8 (interleukin 8) may be linked to cachexia [15]. Between 34.5% and 69% of the patients with lung cancer are at risk of malnutrition [16]. Malnutrition and, even more so, cachexia have been described as prognostic outcome parameters associated with poorer prognosis; lower treatment effectiveness due to poorer treatment tolerance, higher treatment cost, and more frequent hospitalizations; shorter survival; and poor QoL [5,6,7,8,9,10,11,12,13,14,17,18,19]. Unfortunately, even though hospitalized patients undergo obligatory nutritional assessment, malnutrition, sarcopenia, and cachexia still often go undiagnosed and untreated [20]. Patients with advanced cancers and those who have had multiple hospitalizations are most at risk. Notably, the treatment itself often affects patients’ nutritional status by causing symptoms such as appetite loss, dysphagia, nausea, vomiting, diarrhea, and ulcerations of the oral or intestinal mucosa [21]. The diagnosis of nutritional disorders in patients with lung cancer is not sufficient. It is equally important to differentiate between body weight and body composition problems. Malnutrition may lead to poorer physical and mental functioning and significantly affect patients’ clinical condition [22]. Cancer-related malnutrition is associated with metabolic disorders, which may not respond to nutrient supplementation [16]. Cachexia manifests with rapid weight loss, appetite dysfunction, and early satiety [16]. It is also accompanied by general weakness, fatigue, weakened immunity, and poor overall condition. Patients may experience poorer physical performance, difficulties in daily activities, and reduced mobility, resulting in more dependence on others, difficulties in family and social life, lower mood, and feelings of loneliness and isolation. Lung cancer-related skeletal muscle wasting (sarcopenia) has been linked to shorter survival, reduced tolerance to chemotherapy, decreased QoL, and diminished functional ability [22]. In lung cancer patients, nutritional deficiencies are the result of insufficient calorie intake [20]. Nutritional status assessment and nutritional interventions must be included as an integral part of treatment in the lung cancer patient population. Researchers have described an adverse association of weight loss, both before and after diagnosis, with shorter survival and a higher risk of death; conversely, there is evidence of a beneficial relationship between higher body weight (with a BMI > 23) and better outcome, including longer survival, in lung cancer patients [23]. A strong correlation between weight loss and QoL in lung cancer patients has also been demonstrated [5], but no clear evidence is available to guide strategies for the implementation of integrated nutritional care standards that would provide comprehensive benefits in terms of improving treatment effectiveness, patient functioning, and QoL [5]. The literature often focuses on cancer patients’ nutritional status or their QoL and links one of the two with the clinical aspects of treatment. However, papers linking all these elements and evaluating their interrelationships remain scarce. Quality of life (QoL) and physical status assessment provides valuable prognostic data on lung cancer patients. The identification of factors significant for a patient, affecting their reported QoL, is extremely important. Therefore, the purpose of this study was to evaluate the relationship between nutritional status and outcome in lung cancer patients. Following previous publications, we defined outcome as including QoL, mortality, disability, and time of hospitalization [6,7,8,9,10,11,12,13,14,17,18,19]. 2. Materials and Methods: 2.1. Search Strategies We performed a systematic search of the Pubmed/MEDLINE databases per the Cochrane guidelines to conduct a meta-analysis consistent with the PRISMA (Preferred Reporting Items for Systematic review and Meta-Analysis) statement (Figure 1) [24]. First, we identified all published studies that addressed the relationship between nutritional status and outcome in patients treated for lung cancer and used the terms (lung cancer [Title/Abstract] AND (malnutrition [Title/Abstract] OR nutrition [Title/Abstract] AND (quality of life [Title/Abstract] OR well-being [Title/Abstract] OR health-related quality of life [Title/Abstract] OR outcome), yielding 246 papers. The search limits were defined as “English” (language), “1 January 2000,” and “31 December 2021” (publication date), Adult +19, and full text (96). The exclusion criteria were as follows: review articles, meta-analyses, case studies, study protocols, no numerical data, no assessment of outcome, and duplicates. Subsequently, three reviewers (JP, NŚL, and MC) selected relevant studies for inclusion by examining the remaining titles, abstracts, or full papers (n = 12). Their analysis considered publication bias, selective reporting of research, and duplication of publications. To ascertain the validity of eligible randomized trials, reviewers were working independently to reliably determine the adequacy of randomization and concealment of allocation, blinding of patients, data collectors, and outcome assessors. Disagreements were resolved by consensus discussion. The meta-analyses were performed by computing relative risks (RRs) using the random effects model. Quantitative analyses were performed on an intention-to-treat basis and were confined to data derived from the follow-up period. RRs and 95% confidence intervals for each type of intervention were calculated. At the first stage, all records were identified from searches of the electronic databases. At the second stage, three researchers (JP, NŚL, and MC) independently screened the titles and abstracts to identify potentially eligible studies and remove duplicates. At the third stage, studies that were potentially eligible were selected for full-text review. Disagreements were resolved by consensus discussion. Ultimately, 12 full-text papers were included in subsequent statistical analyses (Figure 1 and Table 1). We made every effort to include all primary studies meeting the adopted criteria in our review. The quality of the primary studies was assessed, and the extent to which the studies met the reliability criteria, if at all, was determined. The process of selecting and evaluating primary studies was repeated. We performed a systematic search of the Pubmed/MEDLINE databases per the Cochrane guidelines to conduct a meta-analysis consistent with the PRISMA (Preferred Reporting Items for Systematic review and Meta-Analysis) statement (Figure 1) [24]. First, we identified all published studies that addressed the relationship between nutritional status and outcome in patients treated for lung cancer and used the terms (lung cancer [Title/Abstract] AND (malnutrition [Title/Abstract] OR nutrition [Title/Abstract] AND (quality of life [Title/Abstract] OR well-being [Title/Abstract] OR health-related quality of life [Title/Abstract] OR outcome), yielding 246 papers. The search limits were defined as “English” (language), “1 January 2000,” and “31 December 2021” (publication date), Adult +19, and full text (96). The exclusion criteria were as follows: review articles, meta-analyses, case studies, study protocols, no numerical data, no assessment of outcome, and duplicates. Subsequently, three reviewers (JP, NŚL, and MC) selected relevant studies for inclusion by examining the remaining titles, abstracts, or full papers (n = 12). Their analysis considered publication bias, selective reporting of research, and duplication of publications. To ascertain the validity of eligible randomized trials, reviewers were working independently to reliably determine the adequacy of randomization and concealment of allocation, blinding of patients, data collectors, and outcome assessors. Disagreements were resolved by consensus discussion. The meta-analyses were performed by computing relative risks (RRs) using the random effects model. Quantitative analyses were performed on an intention-to-treat basis and were confined to data derived from the follow-up period. RRs and 95% confidence intervals for each type of intervention were calculated. At the first stage, all records were identified from searches of the electronic databases. At the second stage, three researchers (JP, NŚL, and MC) independently screened the titles and abstracts to identify potentially eligible studies and remove duplicates. At the third stage, studies that were potentially eligible were selected for full-text review. Disagreements were resolved by consensus discussion. Ultimately, 12 full-text papers were included in subsequent statistical analyses (Figure 1 and Table 1). We made every effort to include all primary studies meeting the adopted criteria in our review. The quality of the primary studies was assessed, and the extent to which the studies met the reliability criteria, if at all, was determined. The process of selecting and evaluating primary studies was repeated. 2.2. Description of the Included Studies The 12 studies included in the meta-analysis [6,7,8,9,10,11,12,13,14,17,18,19] were performed in 9 countries in 4 continents. The meta-analysis included research papers published in English in the years 2000–2021 in one of the specified databases. Studies on children, other meta-analyses, review articles, study protocols, duplicates, and studies with incomplete data were excluded from the meta-analysis. In the analyzed studies, patient inclusion criteria were as follows: written informed consent (4 studies); lung cancer diagnosis confirmed by histopathological examination (5 studies); age above 18 years (4 studies), understanding the questionnaire items (1 study); patients with stomach, colon, lung, esophageal, liver, or pancreaticobiliary (pancreas, common bile duct, ampulla of Vater, and gallbladder) cancer (1 study); age between 20 and 80 years (1 study); hemoglobin level >9.0 g/dL (1 study); absolute neutrophil count >1500/mm3 (1 study); platelet count >100,000/mm3 (1 study); total bilirubin <3.0 mg/dL (1 study), creatinine <1.5 mg/dL (1 study); Eastern Cooperative Oncology Group (ECOG) score of ≤2 (3 studies); eligibility to receive paclitaxel (175 mg/m2) and cisplatin (80 mg/m2) as first-line palliative chemotherapy every 3 weeks for at least two and a maximum of six cycles (1 study); treatment with cisplatin-based chemotherapy and concurrent thoracic radiotherapy followed by surgical resection (1 study); pathologically proven mediastinal lymph node involvement (N2 or N3 disease), by transbronchial fine needle aspiration and/or by esophageal ultrasonography (endoscopic ultrasound-guided fine needle aspiration) or mediastinoscopy (1 study); superior sulcus tumor (SST; 1 study); tumor stage cT4 on the basis of a combination of clinical signs (e.g., neurological) and/or imaging studies such as computed tomography scan or magnetic resonance imaging (e.g., involvement of vertebra; 1 study); ability to tolerate cisplatin-based chemotherapy (1 study); measurable, non-irradiated disease according to the Response Evaluation Criteria in Solid Tumors (RECIST; 1 study); adequate functional reserve of the major organ systems (1 study). Patient exclusion criteria were as follows: uncertain cancer diagnosis (1 study); lack of consent to participate in the study (2 studies); coexistence of other malignant tumors (1 study); heart failure exacerbation (2 studies); severe chronic obstructive pulmonary disease (1 study); asthmatic condition (1 study); hemodynamic instability (1 study); cognitive impairments (1 study); unstable angina or myocardial infarction within the past 6 months (1 study); significant arrhythmias requiring medication (1 study); conduction abnormalities such as greater than second-degree atrioventricular block (1 study); uncontrolled hypertension (1 study); liver cirrhosis (child class B and C; 2 studies); interstitial pneumonia (1 study); pulmonary adenomatosis (1 study); psychiatric disorders that may interfere with protocol compliance (1 study); unstable diabetes mellitus (1 study); uncontrolled ascites or pleural effusions as well as active infections (4 studies); poor functional performance status (1 study); previous treatment (surgical, radiotherapy, and/or chemotherapy; 1 study); a history of previous malignancies (other than non-melanoma skin tumors) within the last 5 years (2 studies); severe comorbid condition(s) (1 study); anti-inflammatory treatment (2 studies); chronic diseases (i.e., chronic renal failure; 1 study); broncho-esophageal fistula without an esophageal obstruction (1 study); stricture due to radiotherapy (1 study); patients who underwent the procedure because of an impaired swallowing function itself, such as central nervous systemic, oropharyngeal or transient postoperative problems (1 study); patients who underwent the procedure previously at another hospital (1 study); and malignant dysphagia due to other primary cancers (1 study). The 12 studies included in the meta-analysis [6,7,8,9,10,11,12,13,14,17,18,19] were performed in 9 countries in 4 continents. The meta-analysis included research papers published in English in the years 2000–2021 in one of the specified databases. Studies on children, other meta-analyses, review articles, study protocols, duplicates, and studies with incomplete data were excluded from the meta-analysis. In the analyzed studies, patient inclusion criteria were as follows: written informed consent (4 studies); lung cancer diagnosis confirmed by histopathological examination (5 studies); age above 18 years (4 studies), understanding the questionnaire items (1 study); patients with stomach, colon, lung, esophageal, liver, or pancreaticobiliary (pancreas, common bile duct, ampulla of Vater, and gallbladder) cancer (1 study); age between 20 and 80 years (1 study); hemoglobin level >9.0 g/dL (1 study); absolute neutrophil count >1500/mm3 (1 study); platelet count >100,000/mm3 (1 study); total bilirubin <3.0 mg/dL (1 study), creatinine <1.5 mg/dL (1 study); Eastern Cooperative Oncology Group (ECOG) score of ≤2 (3 studies); eligibility to receive paclitaxel (175 mg/m2) and cisplatin (80 mg/m2) as first-line palliative chemotherapy every 3 weeks for at least two and a maximum of six cycles (1 study); treatment with cisplatin-based chemotherapy and concurrent thoracic radiotherapy followed by surgical resection (1 study); pathologically proven mediastinal lymph node involvement (N2 or N3 disease), by transbronchial fine needle aspiration and/or by esophageal ultrasonography (endoscopic ultrasound-guided fine needle aspiration) or mediastinoscopy (1 study); superior sulcus tumor (SST; 1 study); tumor stage cT4 on the basis of a combination of clinical signs (e.g., neurological) and/or imaging studies such as computed tomography scan or magnetic resonance imaging (e.g., involvement of vertebra; 1 study); ability to tolerate cisplatin-based chemotherapy (1 study); measurable, non-irradiated disease according to the Response Evaluation Criteria in Solid Tumors (RECIST; 1 study); adequate functional reserve of the major organ systems (1 study). Patient exclusion criteria were as follows: uncertain cancer diagnosis (1 study); lack of consent to participate in the study (2 studies); coexistence of other malignant tumors (1 study); heart failure exacerbation (2 studies); severe chronic obstructive pulmonary disease (1 study); asthmatic condition (1 study); hemodynamic instability (1 study); cognitive impairments (1 study); unstable angina or myocardial infarction within the past 6 months (1 study); significant arrhythmias requiring medication (1 study); conduction abnormalities such as greater than second-degree atrioventricular block (1 study); uncontrolled hypertension (1 study); liver cirrhosis (child class B and C; 2 studies); interstitial pneumonia (1 study); pulmonary adenomatosis (1 study); psychiatric disorders that may interfere with protocol compliance (1 study); unstable diabetes mellitus (1 study); uncontrolled ascites or pleural effusions as well as active infections (4 studies); poor functional performance status (1 study); previous treatment (surgical, radiotherapy, and/or chemotherapy; 1 study); a history of previous malignancies (other than non-melanoma skin tumors) within the last 5 years (2 studies); severe comorbid condition(s) (1 study); anti-inflammatory treatment (2 studies); chronic diseases (i.e., chronic renal failure; 1 study); broncho-esophageal fistula without an esophageal obstruction (1 study); stricture due to radiotherapy (1 study); patients who underwent the procedure because of an impaired swallowing function itself, such as central nervous systemic, oropharyngeal or transient postoperative problems (1 study); patients who underwent the procedure previously at another hospital (1 study); and malignant dysphagia due to other primary cancers (1 study). 2.3. Data Extraction An initial database was developed, pilot-tested, and refined to ensure consistency with the outcomes reported in the literature. Data were independently extracted from eligible articles by three reviewers. Data extraction discrepancies between the reviewers were resolved by consensus. The following information was extracted from each included trial: (1) characteristics of trial participants (including age, gender, stage, and severity of disease), the trial’s inclusion and exclusion criteria; (2) type of intervention; (3) type of outcome measure. Risk of bias was established using the Newcastle–Ottawa scale. An initial database was developed, pilot-tested, and refined to ensure consistency with the outcomes reported in the literature. Data were independently extracted from eligible articles by three reviewers. Data extraction discrepancies between the reviewers were resolved by consensus. The following information was extracted from each included trial: (1) characteristics of trial participants (including age, gender, stage, and severity of disease), the trial’s inclusion and exclusion criteria; (2) type of intervention; (3) type of outcome measure. Risk of bias was established using the Newcastle–Ottawa scale. 2.4. Methods 2.4.1. Questionnaires Used in the Studies In the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2). In the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2). 2.4.2. QoL Questionnaires The EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25]. The QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26]. The EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25]. The QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26]. 2.4.3. Nutritional Status Assessment Questionnaires and Clinical Parameters The MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27]. Subjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28]. AC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29]. Albumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30]. The MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27]. Subjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28]. AC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29]. Albumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30]. 2.4.1. Questionnaires Used in the Studies In the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2). In the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2). 2.4.2. QoL Questionnaires The EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25]. The QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26]. The EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25]. The QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26]. 2.4.3. Nutritional Status Assessment Questionnaires and Clinical Parameters The MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27]. Subjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28]. AC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29]. Albumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30]. The MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27]. Subjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28]. AC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29]. Albumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30]. 2.5. Statistical Analysis Our meta-analysis was performed using the Statistica 13.3 software (TIBCO Software Inc., Palo Alto, CA, USA). The heterogeneity of the primary study results was assessed using the Q statistic based on χ2 and its associated p-value. If the heterogeneity test result was significant (p < 0.1), the meta-analysis was performed using the random effects model. For p > 0.1, the meta-analysis relied on the fixed effects model. The percentage of heterogeneity between study estimates was determined using the I2 statistic. For differences in QoL between patients in different nutritional status groups, the effect size was measured based on the corrected standardized mean difference—Hedge’s g and its 95% confidence interval (CI). The statistic was calculated based on the information on mean values, their distribution, and sample size in groups. For overall survival (OS) and time to tumor progression (TTP), we used hazard ratios (HR) calculated using the Cox regression coefficient. Any publication bias was estimated using Egger’s test. We also performed sensitivity analysis using the trim-and-fill method and funnel plot symmetry analysis to detect the impact of publication bias on summary results. Findings at p < 0.05 were considered statistically significant. Our meta-analysis was performed using the Statistica 13.3 software (TIBCO Software Inc., Palo Alto, CA, USA). The heterogeneity of the primary study results was assessed using the Q statistic based on χ2 and its associated p-value. If the heterogeneity test result was significant (p < 0.1), the meta-analysis was performed using the random effects model. For p > 0.1, the meta-analysis relied on the fixed effects model. The percentage of heterogeneity between study estimates was determined using the I2 statistic. For differences in QoL between patients in different nutritional status groups, the effect size was measured based on the corrected standardized mean difference—Hedge’s g and its 95% confidence interval (CI). The statistic was calculated based on the information on mean values, their distribution, and sample size in groups. For overall survival (OS) and time to tumor progression (TTP), we used hazard ratios (HR) calculated using the Cox regression coefficient. Any publication bias was estimated using Egger’s test. We also performed sensitivity analysis using the trim-and-fill method and funnel plot symmetry analysis to detect the impact of publication bias on summary results. Findings at p < 0.05 were considered statistically significant. 2.1. Search Strategies: We performed a systematic search of the Pubmed/MEDLINE databases per the Cochrane guidelines to conduct a meta-analysis consistent with the PRISMA (Preferred Reporting Items for Systematic review and Meta-Analysis) statement (Figure 1) [24]. First, we identified all published studies that addressed the relationship between nutritional status and outcome in patients treated for lung cancer and used the terms (lung cancer [Title/Abstract] AND (malnutrition [Title/Abstract] OR nutrition [Title/Abstract] AND (quality of life [Title/Abstract] OR well-being [Title/Abstract] OR health-related quality of life [Title/Abstract] OR outcome), yielding 246 papers. The search limits were defined as “English” (language), “1 January 2000,” and “31 December 2021” (publication date), Adult +19, and full text (96). The exclusion criteria were as follows: review articles, meta-analyses, case studies, study protocols, no numerical data, no assessment of outcome, and duplicates. Subsequently, three reviewers (JP, NŚL, and MC) selected relevant studies for inclusion by examining the remaining titles, abstracts, or full papers (n = 12). Their analysis considered publication bias, selective reporting of research, and duplication of publications. To ascertain the validity of eligible randomized trials, reviewers were working independently to reliably determine the adequacy of randomization and concealment of allocation, blinding of patients, data collectors, and outcome assessors. Disagreements were resolved by consensus discussion. The meta-analyses were performed by computing relative risks (RRs) using the random effects model. Quantitative analyses were performed on an intention-to-treat basis and were confined to data derived from the follow-up period. RRs and 95% confidence intervals for each type of intervention were calculated. At the first stage, all records were identified from searches of the electronic databases. At the second stage, three researchers (JP, NŚL, and MC) independently screened the titles and abstracts to identify potentially eligible studies and remove duplicates. At the third stage, studies that were potentially eligible were selected for full-text review. Disagreements were resolved by consensus discussion. Ultimately, 12 full-text papers were included in subsequent statistical analyses (Figure 1 and Table 1). We made every effort to include all primary studies meeting the adopted criteria in our review. The quality of the primary studies was assessed, and the extent to which the studies met the reliability criteria, if at all, was determined. The process of selecting and evaluating primary studies was repeated. 2.2. Description of the Included Studies: The 12 studies included in the meta-analysis [6,7,8,9,10,11,12,13,14,17,18,19] were performed in 9 countries in 4 continents. The meta-analysis included research papers published in English in the years 2000–2021 in one of the specified databases. Studies on children, other meta-analyses, review articles, study protocols, duplicates, and studies with incomplete data were excluded from the meta-analysis. In the analyzed studies, patient inclusion criteria were as follows: written informed consent (4 studies); lung cancer diagnosis confirmed by histopathological examination (5 studies); age above 18 years (4 studies), understanding the questionnaire items (1 study); patients with stomach, colon, lung, esophageal, liver, or pancreaticobiliary (pancreas, common bile duct, ampulla of Vater, and gallbladder) cancer (1 study); age between 20 and 80 years (1 study); hemoglobin level >9.0 g/dL (1 study); absolute neutrophil count >1500/mm3 (1 study); platelet count >100,000/mm3 (1 study); total bilirubin <3.0 mg/dL (1 study), creatinine <1.5 mg/dL (1 study); Eastern Cooperative Oncology Group (ECOG) score of ≤2 (3 studies); eligibility to receive paclitaxel (175 mg/m2) and cisplatin (80 mg/m2) as first-line palliative chemotherapy every 3 weeks for at least two and a maximum of six cycles (1 study); treatment with cisplatin-based chemotherapy and concurrent thoracic radiotherapy followed by surgical resection (1 study); pathologically proven mediastinal lymph node involvement (N2 or N3 disease), by transbronchial fine needle aspiration and/or by esophageal ultrasonography (endoscopic ultrasound-guided fine needle aspiration) or mediastinoscopy (1 study); superior sulcus tumor (SST; 1 study); tumor stage cT4 on the basis of a combination of clinical signs (e.g., neurological) and/or imaging studies such as computed tomography scan or magnetic resonance imaging (e.g., involvement of vertebra; 1 study); ability to tolerate cisplatin-based chemotherapy (1 study); measurable, non-irradiated disease according to the Response Evaluation Criteria in Solid Tumors (RECIST; 1 study); adequate functional reserve of the major organ systems (1 study). Patient exclusion criteria were as follows: uncertain cancer diagnosis (1 study); lack of consent to participate in the study (2 studies); coexistence of other malignant tumors (1 study); heart failure exacerbation (2 studies); severe chronic obstructive pulmonary disease (1 study); asthmatic condition (1 study); hemodynamic instability (1 study); cognitive impairments (1 study); unstable angina or myocardial infarction within the past 6 months (1 study); significant arrhythmias requiring medication (1 study); conduction abnormalities such as greater than second-degree atrioventricular block (1 study); uncontrolled hypertension (1 study); liver cirrhosis (child class B and C; 2 studies); interstitial pneumonia (1 study); pulmonary adenomatosis (1 study); psychiatric disorders that may interfere with protocol compliance (1 study); unstable diabetes mellitus (1 study); uncontrolled ascites or pleural effusions as well as active infections (4 studies); poor functional performance status (1 study); previous treatment (surgical, radiotherapy, and/or chemotherapy; 1 study); a history of previous malignancies (other than non-melanoma skin tumors) within the last 5 years (2 studies); severe comorbid condition(s) (1 study); anti-inflammatory treatment (2 studies); chronic diseases (i.e., chronic renal failure; 1 study); broncho-esophageal fistula without an esophageal obstruction (1 study); stricture due to radiotherapy (1 study); patients who underwent the procedure because of an impaired swallowing function itself, such as central nervous systemic, oropharyngeal or transient postoperative problems (1 study); patients who underwent the procedure previously at another hospital (1 study); and malignant dysphagia due to other primary cancers (1 study). 2.3. Data Extraction: An initial database was developed, pilot-tested, and refined to ensure consistency with the outcomes reported in the literature. Data were independently extracted from eligible articles by three reviewers. Data extraction discrepancies between the reviewers were resolved by consensus. The following information was extracted from each included trial: (1) characteristics of trial participants (including age, gender, stage, and severity of disease), the trial’s inclusion and exclusion criteria; (2) type of intervention; (3) type of outcome measure. Risk of bias was established using the Newcastle–Ottawa scale. 2.4. Methods: 2.4.1. Questionnaires Used in the Studies In the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2). In the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2). 2.4.2. QoL Questionnaires The EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25]. The QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26]. The EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25]. The QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26]. 2.4.3. Nutritional Status Assessment Questionnaires and Clinical Parameters The MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27]. Subjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28]. AC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29]. Albumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30]. The MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27]. Subjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28]. AC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29]. Albumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30]. 2.4.1. Questionnaires Used in the Studies: In the analyzed papers, the patients’ nutritional status was evaluated using the MNA and SGA questionnaires and BMI and albumin measurements (Table 2). 2.4.2. QoL Questionnaires: The EORTC QLQ-C30 questionnaire allows for a comprehensive analysis of a patient’s perceived health and functioning in the physical, emotional, and social dimensions. It comprises 30 items in 5 functional scales (physical, role, emotional, cognitive, and social functioning); 3 symptom scales: fatigue, nausea and vomiting, and pain; and 6 single items for recording the severity of shortness of breath, insomnia, appetite loss, constipation, diarrhea, and financial difficulties. The last two items are used to globally evaluate a respondent’s health [12,17,18,19,25]. The QLQ-LC13 is a lung-cancer-specific module comprising 13 items on specific symptoms such as dyspnea, coughing, hemoptysis, localized pain, adverse effects of treatment (mouth or tongue pain, dysphagia, neuropathy, and hair loss), and treatment-related pain. The results are converted to a 0–100 scoring range, with higher scores indicating more severe symptoms [17,26]. 2.4.3. Nutritional Status Assessment Questionnaires and Clinical Parameters: The MNA comprises two parts: an initial screening (MNA—short form, or MNA-SF) and a more comprehensive assessment part (full MNA). The first part concerns food intake reduction, weight loss, and severe disease within the 3 months preceding the assessment, as well as the patient’s BMI and mobility. The maximum score is 14 points. The second part, patient assessment, records the mode of feeding, the intake of specific diet components, and medication, as well as the measured mid-arm and calf circumferences. The maximum score for this part is 16 points. The sum total of the scores from both parts represents the “malnutrition indicator score,” with a maximum of 30 points. The authors have suggested three nutritional status categories: “normal nutritional status” at 24–30 points, “at risk of malnutrition” at 17–23 points, and “malnourished” below 17 points. Validation studies have demonstrated high reliability and validity of the instrument (scale sensitivity—97.9%; scale specificity—100%) [10,11,17,27]. Subjective global assessment (SGA) is commonly used as a self-reported assessment tool to evaluate the nutritional status of patients with cancer on the basis of weight loss, food intake, and symptoms. Accordingly, patients are classified as well-nourished (category A) or malnourished (categories B + C) based on their total PG-SGA scores [6,8,19,28]. AC/S—a score of ≤24 in the AC/S scale—would be sufficient to establish a diagnosis of anorexia [6,8,12,29]. Albumin is a liver protein found in the blood serum with a half-life of 14–20 days. It is a carrier of various mineral components, hormones, and fatty acids and helps maintain oncotic pressure in the capillaries. It has been used as a marker for malnutrition for decades. The reference range in albumin testing is 3.5–5.5 g/dL or 35–55 g/L [7,8,10,30]. 2.5. Statistical Analysis: Our meta-analysis was performed using the Statistica 13.3 software (TIBCO Software Inc., Palo Alto, CA, USA). The heterogeneity of the primary study results was assessed using the Q statistic based on χ2 and its associated p-value. If the heterogeneity test result was significant (p < 0.1), the meta-analysis was performed using the random effects model. For p > 0.1, the meta-analysis relied on the fixed effects model. The percentage of heterogeneity between study estimates was determined using the I2 statistic. For differences in QoL between patients in different nutritional status groups, the effect size was measured based on the corrected standardized mean difference—Hedge’s g and its 95% confidence interval (CI). The statistic was calculated based on the information on mean values, their distribution, and sample size in groups. For overall survival (OS) and time to tumor progression (TTP), we used hazard ratios (HR) calculated using the Cox regression coefficient. Any publication bias was estimated using Egger’s test. We also performed sensitivity analysis using the trim-and-fill method and funnel plot symmetry analysis to detect the impact of publication bias on summary results. Findings at p < 0.05 were considered statistically significant. 3. Results: 3.1. Impact of Nutritional Status on Outcome in Lung Cancer Patients The systematic review and meta-analysis looked at selected QoL domains, overall survival (OS), and time to tumor progression (TTP) in the population of lung cancer patients broken down by nutritional status. The premise of the review also included the significance of nutritional status for disability, rehospitalization, and mortality in lung cancer patients, but no papers addressing all these endpoints were found. In the analyzed papers, patients’ nutritional status was evaluated using questionnaires (MNA or SGA), or measures such as BMI, weight loss (WL), albumin levels, and anorexia or cachexia. Due to the different types of information available on patients’ nutritional status, we adopted a dichotomous classification into well-nourished and malnourished patients. The malnourished group included categories B and C, i.e., at risk of malnutrition or malnourished in the MNA and moderately or severely malnourished in the SGA; underweight patients (BMI < 18 kg/m2); patients with involuntary weight loss >5%; with albumin levels <3.5 mg/dL; and with anorexia (A/SC ≤ 32; n = 737). QoL in six domains was evaluated using the EORTC QLQ-C30 or FAACT questionnaire. The systematic review and meta-analysis looked at selected QoL domains, overall survival (OS), and time to tumor progression (TTP) in the population of lung cancer patients broken down by nutritional status. The premise of the review also included the significance of nutritional status for disability, rehospitalization, and mortality in lung cancer patients, but no papers addressing all these endpoints were found. In the analyzed papers, patients’ nutritional status was evaluated using questionnaires (MNA or SGA), or measures such as BMI, weight loss (WL), albumin levels, and anorexia or cachexia. Due to the different types of information available on patients’ nutritional status, we adopted a dichotomous classification into well-nourished and malnourished patients. The malnourished group included categories B and C, i.e., at risk of malnutrition or malnourished in the MNA and moderately or severely malnourished in the SGA; underweight patients (BMI < 18 kg/m2); patients with involuntary weight loss >5%; with albumin levels <3.5 mg/dL; and with anorexia (A/SC ≤ 32; n = 737). QoL in six domains was evaluated using the EORTC QLQ-C30 or FAACT questionnaire. 3.2. QoL QoL was assessed in a group of 289 patients with normal nutritional status and 737 patients who were malnourished or at risk of malnutrition. The mean patient age was 63.1 ± 2.1 years. A total of 56.7% of the studied patients were male. QoL in selected domains for the patients differing by nutritional status was evaluated using the EORTC QLQ-C30 or FAACT questionnaire. Global QoL was assessed in six studies (Figure 2). In these six studies, clear heterogeneity was identified (Q = 173.2, df = 5, p < 0.001; I2 = 97.1%), and therefore, the random effects model was used for the analysis. Summary results suggest a significant difference in global QoL between well-nourished and malnourished patients (g = 1.52, 95% CI = 0.67 to 2.36, p< 0.001). Publication bias was evaluated using the trim-and-fill method and funnel plots (Figure 3). The impact of studies included in the meta-analysis on the final result was evaluated by sensitivity analysis (Figure 4). QoL in terms of the physical, social, and role functioning domains of the EORTC QLQ-C30 was evaluated in five studies. Emotional functioning was evaluated in four studies, and cognitive functioning in only three. Clear heterogeneity was found in all of these studies. Heterogeneity analysis results are listed in Table 3. Due to the clear heterogeneity of the studies included in the meta-analysis, random effects models were applied. Our findings, shown in forest graphs (Figure 5), demonstrate that patients with a good nutritional status have a better QoL than malnourished patients in the following functioning domains: physical (g = 1.22, 95% CI = 1.19 to 1.46, p < 0.001), role (g = 1.45, 95% CI = 1.31 to 1.59, p < 0.001), emotional (g = 1.10, 95% CI = 0.97 to 1.24, p < 0.001), cognitive (g = 0.91, 95% CI = 0.76 to 1.06, p < 0.001), and social (g = 1.41, 95% CI = 1.27 to 1.56, p < 0.001). QoL was assessed in a group of 289 patients with normal nutritional status and 737 patients who were malnourished or at risk of malnutrition. The mean patient age was 63.1 ± 2.1 years. A total of 56.7% of the studied patients were male. QoL in selected domains for the patients differing by nutritional status was evaluated using the EORTC QLQ-C30 or FAACT questionnaire. Global QoL was assessed in six studies (Figure 2). In these six studies, clear heterogeneity was identified (Q = 173.2, df = 5, p < 0.001; I2 = 97.1%), and therefore, the random effects model was used for the analysis. Summary results suggest a significant difference in global QoL between well-nourished and malnourished patients (g = 1.52, 95% CI = 0.67 to 2.36, p< 0.001). Publication bias was evaluated using the trim-and-fill method and funnel plots (Figure 3). The impact of studies included in the meta-analysis on the final result was evaluated by sensitivity analysis (Figure 4). QoL in terms of the physical, social, and role functioning domains of the EORTC QLQ-C30 was evaluated in five studies. Emotional functioning was evaluated in four studies, and cognitive functioning in only three. Clear heterogeneity was found in all of these studies. Heterogeneity analysis results are listed in Table 3. Due to the clear heterogeneity of the studies included in the meta-analysis, random effects models were applied. Our findings, shown in forest graphs (Figure 5), demonstrate that patients with a good nutritional status have a better QoL than malnourished patients in the following functioning domains: physical (g = 1.22, 95% CI = 1.19 to 1.46, p < 0.001), role (g = 1.45, 95% CI = 1.31 to 1.59, p < 0.001), emotional (g = 1.10, 95% CI = 0.97 to 1.24, p < 0.001), cognitive (g = 0.91, 95% CI = 0.76 to 1.06, p < 0.001), and social (g = 1.41, 95% CI = 1.27 to 1.56, p < 0.001). 3.3. Nutritional Status and Overall Survival (OS) The meta-analysis included nine papers providing data on the studied lung cancer patients’ overall survival (OS) and nutritional status (Figure 6). In total, the analysis included 1560 patients aged 64.6 ± 16.3 years, of whom 1064 (68.2%) were male. Based on the available data on OS, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In these nine studies, clear heterogeneity was identified (Q = 69.6, df = 8, p < 0.001; I2 = 93.3%), and therefore, the random effect model was used for the analysis. The heterogeneity of the observed values may result, among other factors, from differences in sampling, e.g., in terms of disease stage, which is why the conclusion that malnourished patients are at more risk of death should be treated with caution. The asymmetrical concentration of studies in the funnel plot (Figure 5) indicates a possible systematic publication bias. However, summary results suggest that the risk of death is indeed significantly higher in malnourished than in well-nourished patients (HR = 1.53, 95% CI = 1.25 to 1.86, p < 0.001). The meta-analysis included nine papers providing data on the studied lung cancer patients’ overall survival (OS) and nutritional status (Figure 6). In total, the analysis included 1560 patients aged 64.6 ± 16.3 years, of whom 1064 (68.2%) were male. Based on the available data on OS, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In these nine studies, clear heterogeneity was identified (Q = 69.6, df = 8, p < 0.001; I2 = 93.3%), and therefore, the random effect model was used for the analysis. The heterogeneity of the observed values may result, among other factors, from differences in sampling, e.g., in terms of disease stage, which is why the conclusion that malnourished patients are at more risk of death should be treated with caution. The asymmetrical concentration of studies in the funnel plot (Figure 5) indicates a possible systematic publication bias. However, summary results suggest that the risk of death is indeed significantly higher in malnourished than in well-nourished patients (HR = 1.53, 95% CI = 1.25 to 1.86, p < 0.001). 3.4. Nutritional Status and Time to Tumor Progression (TTP) The meta-analysis included four papers providing data on time to tumor progression (TTP) and nutritional status in the studied lung cancer patient groups (Figure 7). Based on the available data on TTP, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In total, the analysis included 395 patients aged 64.2 ± 15.8 years, of whom 319 (80.7%) were male. In these four studies, clear homogeneity was identified (Q = 1.28, df = 3, p < 0.734; I2 = 0.0%), and therefore, the fixed effects model was used for the analysis. Meta-analysis results warrant the conclusion that nutritional status is significantly associated with survival, as patients with a poorer nutritional status were at more risk of cancer relapse. The meta-analysis included four papers providing data on time to tumor progression (TTP) and nutritional status in the studied lung cancer patient groups (Figure 7). Based on the available data on TTP, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In total, the analysis included 395 patients aged 64.2 ± 15.8 years, of whom 319 (80.7%) were male. In these four studies, clear homogeneity was identified (Q = 1.28, df = 3, p < 0.734; I2 = 0.0%), and therefore, the fixed effects model was used for the analysis. Meta-analysis results warrant the conclusion that nutritional status is significantly associated with survival, as patients with a poorer nutritional status were at more risk of cancer relapse. 3.1. Impact of Nutritional Status on Outcome in Lung Cancer Patients: The systematic review and meta-analysis looked at selected QoL domains, overall survival (OS), and time to tumor progression (TTP) in the population of lung cancer patients broken down by nutritional status. The premise of the review also included the significance of nutritional status for disability, rehospitalization, and mortality in lung cancer patients, but no papers addressing all these endpoints were found. In the analyzed papers, patients’ nutritional status was evaluated using questionnaires (MNA or SGA), or measures such as BMI, weight loss (WL), albumin levels, and anorexia or cachexia. Due to the different types of information available on patients’ nutritional status, we adopted a dichotomous classification into well-nourished and malnourished patients. The malnourished group included categories B and C, i.e., at risk of malnutrition or malnourished in the MNA and moderately or severely malnourished in the SGA; underweight patients (BMI < 18 kg/m2); patients with involuntary weight loss >5%; with albumin levels <3.5 mg/dL; and with anorexia (A/SC ≤ 32; n = 737). QoL in six domains was evaluated using the EORTC QLQ-C30 or FAACT questionnaire. 3.2. QoL: QoL was assessed in a group of 289 patients with normal nutritional status and 737 patients who were malnourished or at risk of malnutrition. The mean patient age was 63.1 ± 2.1 years. A total of 56.7% of the studied patients were male. QoL in selected domains for the patients differing by nutritional status was evaluated using the EORTC QLQ-C30 or FAACT questionnaire. Global QoL was assessed in six studies (Figure 2). In these six studies, clear heterogeneity was identified (Q = 173.2, df = 5, p < 0.001; I2 = 97.1%), and therefore, the random effects model was used for the analysis. Summary results suggest a significant difference in global QoL between well-nourished and malnourished patients (g = 1.52, 95% CI = 0.67 to 2.36, p< 0.001). Publication bias was evaluated using the trim-and-fill method and funnel plots (Figure 3). The impact of studies included in the meta-analysis on the final result was evaluated by sensitivity analysis (Figure 4). QoL in terms of the physical, social, and role functioning domains of the EORTC QLQ-C30 was evaluated in five studies. Emotional functioning was evaluated in four studies, and cognitive functioning in only three. Clear heterogeneity was found in all of these studies. Heterogeneity analysis results are listed in Table 3. Due to the clear heterogeneity of the studies included in the meta-analysis, random effects models were applied. Our findings, shown in forest graphs (Figure 5), demonstrate that patients with a good nutritional status have a better QoL than malnourished patients in the following functioning domains: physical (g = 1.22, 95% CI = 1.19 to 1.46, p < 0.001), role (g = 1.45, 95% CI = 1.31 to 1.59, p < 0.001), emotional (g = 1.10, 95% CI = 0.97 to 1.24, p < 0.001), cognitive (g = 0.91, 95% CI = 0.76 to 1.06, p < 0.001), and social (g = 1.41, 95% CI = 1.27 to 1.56, p < 0.001). 3.3. Nutritional Status and Overall Survival (OS): The meta-analysis included nine papers providing data on the studied lung cancer patients’ overall survival (OS) and nutritional status (Figure 6). In total, the analysis included 1560 patients aged 64.6 ± 16.3 years, of whom 1064 (68.2%) were male. Based on the available data on OS, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In these nine studies, clear heterogeneity was identified (Q = 69.6, df = 8, p < 0.001; I2 = 93.3%), and therefore, the random effect model was used for the analysis. The heterogeneity of the observed values may result, among other factors, from differences in sampling, e.g., in terms of disease stage, which is why the conclusion that malnourished patients are at more risk of death should be treated with caution. The asymmetrical concentration of studies in the funnel plot (Figure 5) indicates a possible systematic publication bias. However, summary results suggest that the risk of death is indeed significantly higher in malnourished than in well-nourished patients (HR = 1.53, 95% CI = 1.25 to 1.86, p < 0.001). 3.4. Nutritional Status and Time to Tumor Progression (TTP): The meta-analysis included four papers providing data on time to tumor progression (TTP) and nutritional status in the studied lung cancer patient groups (Figure 7). Based on the available data on TTP, we estimated the summary hazard ratio (HR). The Kaplan–Meier survival analysis and Cox proportional hazards models were used to investigate the effect of nutritional status on survival. In total, the analysis included 395 patients aged 64.2 ± 15.8 years, of whom 319 (80.7%) were male. In these four studies, clear homogeneity was identified (Q = 1.28, df = 3, p < 0.734; I2 = 0.0%), and therefore, the fixed effects model was used for the analysis. Meta-analysis results warrant the conclusion that nutritional status is significantly associated with survival, as patients with a poorer nutritional status were at more risk of cancer relapse. 4. Discussion: The present meta-analysis is the first one to address the important matter of associations between nutritional status and overall survival, time to tumor progression, and QoL in patients treated for lung cancer. This shows that published studies comprehensively assessing patients’ nutritional status, clinical parameters, and QoL are scarce. The present findings suggest that the introduction of standards for nutritional status and clinical condition assessment in lung cancer patients should be considered. Lung cancer and its treatment have an impact on patients’ nutritional status, as they affect their metabolism and contribute to reduced food intake. Research demonstrates that malnutrition is a predictor of morbidity, length of hospitalization, complications, and adverse events, and in patients with advanced cancers, it is a major factor in perioperative risk assessment [9]. Thus, malnutrition may affect the duration of hospitalization, incidence of cancer recurrences, and QoL of cancer patients [12,17,18,19]. Identifying and treating nutritional problems in this patient group may contribute to better prognosis and response to therapy and reduce complications associated with the disease and its treatment [31]. The present meta-analysis affirms the conclusion that QoL is associated with nutritional status [12,17,18,19]. Its results suggest a significant difference in global QoL between well-nourished and malnourished patients, with poorer QoL in the latter group. Similar findings concern the specific EORTC QLQ-C30 domains. Malnourished patients had poorer QoL in the physical, emotional, cognitive, social, and role functioning domains. Progressive weight loss often reduces physical fitness and QoL in patients with advanced lung cancer [17]. Available studies indicate a better QoL in well-nourished than in malnourished patients, especially in the “role functioning” domain, with a difference of 41.6 points. In Arrieta et al., FAACT scales were significantly associated with clinical parameters, including biochemical and nutritional variables, and strongly correlated with the appetite loss subscale of the QLQ-C30 questionnaire (r = −0.624) [6]. In addition, Gupta et al. emphasized that normally nourished patients had significantly lower symptom severity scores than those with malnutrition [32]. Malnutrition is an often-unrecognized and underestimated factor in the evaluation of morbidity and mortality risk. Few studies have as yet addressed the issue. The present meta-analysis shows that malnutrition is a risk factor for complications and exacerbations (relapse). In the study by Gioulbasanis et al., MNA classification was significantly associated with time to tumor progression in patients exposed to systemic therapy, and with OS in all accrued patients [11]. Malnourished patients are at more risk of death than normally nourished ones [7,8,9,10]. A higher baseline albumin level is positively correlated with survival [7,8]. Arrieta et al. showed that physical well-being (p < 0.0009), functional well-being (p = 0.004), and the anorexia/cachexia scale score (p = 0.029) were all strongly associated with overall survival [6]. Similarly, our meta-analysis shows shorter survival in malnourished patients than in those with a normal body weight. Jagos et al. documented a significant relationship between low serum albumin levels and low BMI with increased postoperative morbidity (major infection) and respiratory mortality, and in the present meta-analysis, nutritional assessment was based on the MNA and SGA scales [33]. Soh et al. demonstrated that the prognostic nutrition index (PNI) decreased significantly as treatment progressed [14]. Patients at clinical stage cT3/4 had a significantly lower PNI than those with cT1/2, whereas the extent of lymph node metastasis did not affect PNI. Moreover, high PNI before ICRT significantly correlated with better survival in patients with a locally advanced NSCLC, especially at clinical stage cT3/4 [14]. In the study by Turcott et al., BMI (<18.5 vs. 18.5–24.9 vs. 25 kg/m2) and the presence of anorexia were shown to be independently associated with OS [12]. According to the European Society of Parental and Enteral Nutrition (ESPEN) guidelines, malnutrition is diagnosed in patients with BMI <19.8, albumin levels <3.0, and transferrin levels <1.5, but in elderly lung cancer patients undergoing surgical treatment, cardiorespiratory function and the extent of resection should also be evaluated. In their study, Fiorelli et al. indicate that malnutrition is an additional risk factor for mortality within 1 year of the surgical intervention [9]. The authors state that nutritional support before and after surgery may provide major benefits, and in combination with multi-disciplinary care, it might facilitate a gradual physiological return to normal activity and positively influence the outcome [9]. Polański et al. showed that as few as 25% of the patients with NSCLC are normally nourished, and only these patients rate their QoL as good in all EORTC QLQ-C30 and LC-13 functioning scales, while experiencing less severe symptoms [17]. In the same paper, malnutrition correlated with poorer QoL and worse symptoms, and was an independent determinant of decreased QoL [17]. Notably, lung cancer symptoms are accompanied with poorer QoL, which is particularly affected by appetite loss, while the symptoms themselves have a major impact on appetite and food intake [17]. The authors agree that patients suffering from fever, anorexia, and weight loss are among those who do not respond to chemotherapy. Chemotherapy has no significant impact on respiratory function or nutritional status and does not improve QoL [17]. Besides the fact that a 5% weight loss in the induction period predisposed patients to shorter OS, van der Meij et al. found that the specific combination of being overweight with a 5% weight loss in the induction period was associated with both worse OS and PFS, which suggests that when malnutrition develops during induction CRT in overweight patients, it hinders both the surgical outcome and the long-term cancer outcome [13]. This is why the nutritional status of (overweight) patients undergoing CRT and surgical treatment for NSCLC should be monitored throughout the treatment period, not just at the beginning of therapy, and nutritional interventions should be an integral part of the treatment process in patients with lung cancer. The correct management model can be implemented if QoL assessment is included in clinical condition evaluation besides the monitored clinical parameters, with the obtained results continuously analyzed in terms of their impact. In the practice of oncology, estimating baseline nutritional status by calculating percentage weight loss is an overly simplistic approach and, on the other hand, an in-depth assessment of nutritional status is impractical in many cases. An urgent and currently unmet need is to develop an accurate, practical, and non-time-consuming screening and/or assessment tool for nutritional status. MNA, SGA, or even BMI should be considered when assessing nutritional status in lung cancer patients and possibly in patients with other malignancies in which malnutrition occurs with equal frequency. 5. Study Limitations: Some of the studies included in the meta-analysis may not be properly blinded, as a description was missing. Though the quality of all included studies was high, nonblinded studies may introduce an inevitable systematic bias. Moreover, the criteria used to identify malnutrition in the patients differed between studies. The analyses of significant variables (QoL in specific domains, overall survival) were considerably heterogeneous. However, statistical findings did not change with the exclusion of individual studies in sensitivity analysis, which lends credibility to our conclusions. In the study, specific treatments and cancer stages were not considered as inclusion criteria. 6. Conclusions: Nutritional status is a significant clinical and prognostic parameter in the assessment of lung cancer treatment. Malnutrition is associated with poorer outcome in terms of overall survival, time to tumor progression, and QoL in patients treated for lung cancer.
Background: Between 34.5% and 69% of the patients with lung cancer are at risk of malnutrition. Quality of life (QoL) and physical status assessment provides valuable prognostic data on lung cancer patients. Malnutrition is a prognostic parameter for clinical outcome. Therefore, the identification of significant factors affecting the clinical outcome and QoL is important. The purpose of this study was to evaluate the relationship between nutritional status and outcome, i.e., overall survival, time to tumor progression, and QoL, in lung cancer patients. Methods: We performed a systematic search of the Pubmed/MEDLINE databases per the Cochrane guidelines to conduct a meta-analysis consistent with the PRISMA statement, using the following keywords: "lung cancer," "malnutrition," "nutrition," "quality of life," "well-being," "health-related quality of life," and "outcome." Out of the 96 papers identified, 12 were included in our meta-analysis. Results: Our meta-analysis shows that patients with a good nutritional status have a better QoL than malnourished patients in the following functioning domains: physical (g = 1.22, 95% CI = 1.19 to 1.46, p < 0.001), role (g = 1.45, 95% CI = 1.31 to 1.59, p < 0.001), emotional (g = 1.10, 95% CI = 0.97 to 1.24, p < 0.001), cognitive (g = 0.91, 95% CI = 0.76 to 1.06, p < 0.001), and social (g = 1.41, 95% CI = 1.27 to 1.56, p < 0.001). The risk of death was significantly higher in malnourished than in well-nourished patients (HR = 1.53, 95% CI = 1.25 to 1.86, p < 0.001). Nutritional status was significantly associated with survival, indicating that patients with a poorer nutritional status are at more risk of relapse. Conclusions: Nutritional status is a significant clinical and prognostic parameter in the assessment of lung cancer treatment. Malnutrition is associated with poorer outcome in terms of overall survival, time to tumor progression, and QoL in patients treated for lung cancer.
1. Introduction: Lung cancer is the leading cause of cancer-related death in Europe and worldwide [1]. The treatment of cancer, and in particular, non-small-cell lung carcinoma (NSCLC) has evolved in the last few years. Patients with metastatic NSCLS can now receive treatment tailored to the specific alterations and mutations identified in the genes or proteins of their cancer [2]. These treatment options are associated with better response to treatment and longer survival, compared to the previous standard based on chemotherapy [3]. Despite these advances, however, the median overall survival for patients with metastatic NSCLC is still less than 1 year [3], and less than half of the patients see a significant decrease in their tumor burden with immunotherapy alone [4]. Researchers are constantly seeking to identify factors associated with treatment effectiveness and better response to immunotherapy. Among these factors, patient age, comorbidities, nutritional status, and weight loss during or before treatment have been proposed [5]. Published findings indicate that malnutrition and risk of malnutrition are correlated with time to tumor progression and overall survival [6,7,8,9,10,11,12,13,14]. Moreover, the cytokine IL-8 (interleukin 8) may be linked to cachexia [15]. Between 34.5% and 69% of the patients with lung cancer are at risk of malnutrition [16]. Malnutrition and, even more so, cachexia have been described as prognostic outcome parameters associated with poorer prognosis; lower treatment effectiveness due to poorer treatment tolerance, higher treatment cost, and more frequent hospitalizations; shorter survival; and poor QoL [5,6,7,8,9,10,11,12,13,14,17,18,19]. Unfortunately, even though hospitalized patients undergo obligatory nutritional assessment, malnutrition, sarcopenia, and cachexia still often go undiagnosed and untreated [20]. Patients with advanced cancers and those who have had multiple hospitalizations are most at risk. Notably, the treatment itself often affects patients’ nutritional status by causing symptoms such as appetite loss, dysphagia, nausea, vomiting, diarrhea, and ulcerations of the oral or intestinal mucosa [21]. The diagnosis of nutritional disorders in patients with lung cancer is not sufficient. It is equally important to differentiate between body weight and body composition problems. Malnutrition may lead to poorer physical and mental functioning and significantly affect patients’ clinical condition [22]. Cancer-related malnutrition is associated with metabolic disorders, which may not respond to nutrient supplementation [16]. Cachexia manifests with rapid weight loss, appetite dysfunction, and early satiety [16]. It is also accompanied by general weakness, fatigue, weakened immunity, and poor overall condition. Patients may experience poorer physical performance, difficulties in daily activities, and reduced mobility, resulting in more dependence on others, difficulties in family and social life, lower mood, and feelings of loneliness and isolation. Lung cancer-related skeletal muscle wasting (sarcopenia) has been linked to shorter survival, reduced tolerance to chemotherapy, decreased QoL, and diminished functional ability [22]. In lung cancer patients, nutritional deficiencies are the result of insufficient calorie intake [20]. Nutritional status assessment and nutritional interventions must be included as an integral part of treatment in the lung cancer patient population. Researchers have described an adverse association of weight loss, both before and after diagnosis, with shorter survival and a higher risk of death; conversely, there is evidence of a beneficial relationship between higher body weight (with a BMI > 23) and better outcome, including longer survival, in lung cancer patients [23]. A strong correlation between weight loss and QoL in lung cancer patients has also been demonstrated [5], but no clear evidence is available to guide strategies for the implementation of integrated nutritional care standards that would provide comprehensive benefits in terms of improving treatment effectiveness, patient functioning, and QoL [5]. The literature often focuses on cancer patients’ nutritional status or their QoL and links one of the two with the clinical aspects of treatment. However, papers linking all these elements and evaluating their interrelationships remain scarce. Quality of life (QoL) and physical status assessment provides valuable prognostic data on lung cancer patients. The identification of factors significant for a patient, affecting their reported QoL, is extremely important. Therefore, the purpose of this study was to evaluate the relationship between nutritional status and outcome in lung cancer patients. Following previous publications, we defined outcome as including QoL, mortality, disability, and time of hospitalization [6,7,8,9,10,11,12,13,14,17,18,19]. 6. Conclusions: Nutritional status is a significant clinical and prognostic parameter in the assessment of lung cancer treatment. Malnutrition is associated with poorer outcome in terms of overall survival, time to tumor progression, and QoL in patients treated for lung cancer.
Background: Between 34.5% and 69% of the patients with lung cancer are at risk of malnutrition. Quality of life (QoL) and physical status assessment provides valuable prognostic data on lung cancer patients. Malnutrition is a prognostic parameter for clinical outcome. Therefore, the identification of significant factors affecting the clinical outcome and QoL is important. The purpose of this study was to evaluate the relationship between nutritional status and outcome, i.e., overall survival, time to tumor progression, and QoL, in lung cancer patients. Methods: We performed a systematic search of the Pubmed/MEDLINE databases per the Cochrane guidelines to conduct a meta-analysis consistent with the PRISMA statement, using the following keywords: "lung cancer," "malnutrition," "nutrition," "quality of life," "well-being," "health-related quality of life," and "outcome." Out of the 96 papers identified, 12 were included in our meta-analysis. Results: Our meta-analysis shows that patients with a good nutritional status have a better QoL than malnourished patients in the following functioning domains: physical (g = 1.22, 95% CI = 1.19 to 1.46, p < 0.001), role (g = 1.45, 95% CI = 1.31 to 1.59, p < 0.001), emotional (g = 1.10, 95% CI = 0.97 to 1.24, p < 0.001), cognitive (g = 0.91, 95% CI = 0.76 to 1.06, p < 0.001), and social (g = 1.41, 95% CI = 1.27 to 1.56, p < 0.001). The risk of death was significantly higher in malnourished than in well-nourished patients (HR = 1.53, 95% CI = 1.25 to 1.86, p < 0.001). Nutritional status was significantly associated with survival, indicating that patients with a poorer nutritional status are at more risk of relapse. Conclusions: Nutritional status is a significant clinical and prognostic parameter in the assessment of lung cancer treatment. Malnutrition is associated with poorer outcome in terms of overall survival, time to tumor progression, and QoL in patients treated for lung cancer.
14,822
418
[ 5723, 508, 781, 112, 1201, 28, 183, 375, 242, 413, 241, 169, 114 ]
18
[ "patients", "study", "studies", "nutritional", "status", "nutritional status", "analysis", "cancer", "qol", "meta" ]
[ "lung cancer specific", "lung cancer treatment", "cancer treatment malnutrition", "mortality lung cancer", "survival lung cancer" ]
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[CONTENT] nutrition | lung cancer | clinical outcome | quality of life | survival [SUMMARY]
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[CONTENT] nutrition | lung cancer | clinical outcome | quality of life | survival [SUMMARY]
[CONTENT] nutrition | lung cancer | clinical outcome | quality of life | survival [SUMMARY]
[CONTENT] nutrition | lung cancer | clinical outcome | quality of life | survival [SUMMARY]
[CONTENT] nutrition | lung cancer | clinical outcome | quality of life | survival [SUMMARY]
[CONTENT] Disease Progression | Humans | Lung Neoplasms | Nutritional Status | Probability | Publication Bias | Quality of Life | Survival Analysis | Time Factors | Treatment Outcome [SUMMARY]
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[CONTENT] Disease Progression | Humans | Lung Neoplasms | Nutritional Status | Probability | Publication Bias | Quality of Life | Survival Analysis | Time Factors | Treatment Outcome [SUMMARY]
[CONTENT] Disease Progression | Humans | Lung Neoplasms | Nutritional Status | Probability | Publication Bias | Quality of Life | Survival Analysis | Time Factors | Treatment Outcome [SUMMARY]
[CONTENT] Disease Progression | Humans | Lung Neoplasms | Nutritional Status | Probability | Publication Bias | Quality of Life | Survival Analysis | Time Factors | Treatment Outcome [SUMMARY]
[CONTENT] Disease Progression | Humans | Lung Neoplasms | Nutritional Status | Probability | Publication Bias | Quality of Life | Survival Analysis | Time Factors | Treatment Outcome [SUMMARY]
[CONTENT] lung cancer specific | lung cancer treatment | cancer treatment malnutrition | mortality lung cancer | survival lung cancer [SUMMARY]
null
[CONTENT] lung cancer specific | lung cancer treatment | cancer treatment malnutrition | mortality lung cancer | survival lung cancer [SUMMARY]
[CONTENT] lung cancer specific | lung cancer treatment | cancer treatment malnutrition | mortality lung cancer | survival lung cancer [SUMMARY]
[CONTENT] lung cancer specific | lung cancer treatment | cancer treatment malnutrition | mortality lung cancer | survival lung cancer [SUMMARY]
[CONTENT] lung cancer specific | lung cancer treatment | cancer treatment malnutrition | mortality lung cancer | survival lung cancer [SUMMARY]
[CONTENT] patients | study | studies | nutritional | status | nutritional status | analysis | cancer | qol | meta [SUMMARY]
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[CONTENT] patients | study | studies | nutritional | status | nutritional status | analysis | cancer | qol | meta [SUMMARY]
[CONTENT] patients | study | studies | nutritional | status | nutritional status | analysis | cancer | qol | meta [SUMMARY]
[CONTENT] patients | study | studies | nutritional | status | nutritional status | analysis | cancer | qol | meta [SUMMARY]
[CONTENT] patients | study | studies | nutritional | status | nutritional status | analysis | cancer | qol | meta [SUMMARY]
[CONTENT] treatment | cancer | patients | lung | lung cancer | cancer patients | qol | nutritional | weight | survival [SUMMARY]
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[CONTENT] 001 | patients | analysis | nutritional status | nutritional | 95 ci | status | malnourished | ci | studies [SUMMARY]
[CONTENT] poorer outcome terms overall | treatment malnutrition associated | significant clinical | terms overall survival | terms overall survival time | cancer treatment malnutrition | cancer treatment malnutrition associated | poorer outcome | poorer outcome terms | treatment malnutrition [SUMMARY]
[CONTENT] patients | study | studies | nutritional | nutritional status | analysis | status | cancer | qol | lung [SUMMARY]
[CONTENT] patients | study | studies | nutritional | nutritional status | analysis | status | cancer | qol | lung [SUMMARY]
[CONTENT] Between 34.5% and 69% ||| QoL ||| ||| QoL ||| QoL [SUMMARY]
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[CONTENT] QoL | 1.22 | 95% | CI | 1.19 | 1.46 | p < 0.001 | 1.45 | 95% | CI | 1.31 | 1.59 | 1.10 | 95% | CI | 0.97 | 1.24 | 0.91 | 95% | CI | 0.76 | 1.06 | p < 0.001 | 1.41 | 95% | CI | 1.27 | 1.56 ||| 1.53 | 95% | CI | 1.25 | 1.86 | p < 0.001 ||| [SUMMARY]
[CONTENT] ||| QoL [SUMMARY]
[CONTENT] Between 34.5% and 69% ||| QoL ||| ||| QoL ||| QoL ||| the Pubmed/MEDLINE | Cochrane | PRISMA ||| 96 | 12 ||| ||| QoL | 1.22 | 95% | CI | 1.19 | 1.46 | p < 0.001 | 1.45 | 95% | CI | 1.31 | 1.59 | 1.10 | 95% | CI | 0.97 | 1.24 | 0.91 | 95% | CI | 0.76 | 1.06 | p < 0.001 | 1.41 | 95% | CI | 1.27 | 1.56 ||| 1.53 | 95% | CI | 1.25 | 1.86 | p < 0.001 ||| ||| ||| QoL [SUMMARY]
[CONTENT] Between 34.5% and 69% ||| QoL ||| ||| QoL ||| QoL ||| the Pubmed/MEDLINE | Cochrane | PRISMA ||| 96 | 12 ||| ||| QoL | 1.22 | 95% | CI | 1.19 | 1.46 | p < 0.001 | 1.45 | 95% | CI | 1.31 | 1.59 | 1.10 | 95% | CI | 0.97 | 1.24 | 0.91 | 95% | CI | 0.76 | 1.06 | p < 0.001 | 1.41 | 95% | CI | 1.27 | 1.56 ||| 1.53 | 95% | CI | 1.25 | 1.86 | p < 0.001 ||| ||| ||| QoL [SUMMARY]
Breastfeeding in Neonates Admitted to an NICU: 18-Month Follow-Up.
36145216
The admission of neonates to Neonatal Intensive Care Units (NICUs) has been identified as a primary inhibiting factor in the establishment of breastfeeding. The aims of this study were to (1) estimate the prevalence and duration of breastfeeding in infants/toddlers who had been admitted to an NICU in Greece and (2) to investigate factors, associated with the NICU stay, which affected the establishment and maintenance of breastfeeding in infants/toddlers previously admitted to the NICU.
INTRODUCTION
Data for this cohort study were retrieved from interviews with mothers of infants/toddlers who had been admitted to our NICU as neonates during the period of 2017-2019. Interviews were conducted based on a questionnaire regarding the child's nutrition from birth to the day of the interview, including previous maternal experience with breastfeeding. Information related to the prenatal period, gestation age, delivery mode, duration of NICU stay, and neonatal feeding strategies during their hospital stay were recorded.
MATERIALS AND METHODS
The response rate to the telephone interviews was 57%, resulting in 279 mother-infant pairs being included in this study. The results showed that 78.1% of children received maternal milk during their first days of life. Of all infants, 58.1% were exclusively breastfed during their first month, with a gradual decrease to 36.9% and 19.4% by the end of the third and sixth months of life, respectively. The prevalence of breastfed children reached 14.7% and 7.5% at the ages of twelve and eighteen months, respectively. In the multivariate analysis, prematurity emerged as an independent prognostic factor for the duration of exclusive and any breastfeeding (aHR 1.64, 95% CI: 1.03-2.62; and 1.69, 95% CI: 1.05-2.72, respectively; p &lt; 0.05). Additionally, the nationality of the mother, NICU breastfeeding experience, the administration of maternal milk during neonatal hospital stay, and previous breastfeeding experience of the mother were independent prognostic factors for the duration of breastfeeding.
RESULTS
Although breastfeeding is a top priority in our NICU, the exclusive-breastfeeding rates at 6 months were quite low for the hospitalized neonates, not reaching World Health Organization (WHO) recommendations. Mothers/families of hospitalized neonates should receive integrated psychological and practical breastfeeding support and guidance.
CONCLUSIONS
[ "Breast Feeding", "Cohort Studies", "Female", "Follow-Up Studies", "Humans", "Infant", "Infant, Low Birth Weight", "Infant, Newborn", "Intensive Care Units, Neonatal", "Pregnancy" ]
9500865
1. Introduction
For optimal health outcomes, the World Health Organization recommends exclusive breastfeeding for the first 6 months of life, followed by the appropriate introduction of complementary foods with continued breastfeeding to two years and beyond [1,2,3]. Multiple recent publications report the short-term and long-term advantages of maternal milk for preterm neonates. Maternal milk contains the optimal immunologic, anti-oxidative, and growth factors for various neonatal systems [4]. Feeding with human milk (HM) from the neonate’s own mother reduces the risk for short-term and long-term morbidity and, subsequently, the cost of care of ill preterm and full-term neonates [5]. Regarding preterm neonates, higher HM doses are correlated with a lower risk of enteral feeding intolerance, late sepsis, chronic pulmonary disease, retinopathy of prematurity, neurocognitive impairment, and less hospital re-admissions by the ages of 18–30 months [6,7,8,9,10,11,12,13,14,15,16]. Almost 10–12% of neonates born in the United States are preterm, and admission to NICUs is necessary for many of them [17]. Approximately 10% of full-term neonates require more-advanced-than-usual medical care, and a large proportion of them is also admitted to NICUs. Hospitalized neonates represent a population with a higher risk of adverse short-term and long-term outcomes than healthy full-term neonates [18,19,20]. Admission to NICU has been suggested as a primary inhibiting factor in establishing breastfeeding, with neonates admitted to NICUs presenting lower rates of breastfeeding than healthy neonates [21,22,23,24,25]. Probable causes of this phenomenon include the separation of the mother and the neonate; the stress and anxiety of the mother, which may result in depressive disorder; and the clinical status of the mother and/or the neonate [26,27,28,29]. Until now, in Greece, the direct impact of postnatal mother–neonate separation in establishing and maintaining breastfeeding in neonates admitted to NICUs is largely unknown and needs to be further investigated. The aims of this study were to (1) assess the prevalence and duration of breastfeeding in infants/toddlers who had been admitted to a Greek NICU and (2) to assess the probable effect of certain factors associated with the NICU stay on the rate, establishment, and duration of breastfeeding in infants/toddlers previously admitted to the NICU.
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3. Results
3.1. Descriptive Results The response rate to the telephone interviews was 57%, resulting in 279 mother–infant pairs being included in this study. A total of 255 mothers responded, 24 of whom had given birth to twins. Of all participating neonates, 56.3% were full-term, and 66.3% had been delivered via cesarean section; in total, 31.5% were inborn, while 68.5% were outborn. The median birthweight of our sample of infants was 2.700 g (1.960–3.250 g), and the median gestational age was 37 (34–38) weeks. Of the participating neonates, 25 (9%) were very-low-birthweight neonates; a total of 43 (15.4%) had a gestational age < 32 weeks, and 79 neonates (28.3%) were late preterm. A total of 21 neonates (7.5%) presented intrauterine growth restriction (IUGR), and 137 neonates (49.1%) had respiratory distress syndrome; in total, 67 neonates (24%) suffered from perinatal hypoxia, and 12 (4.3%) neonates were admitted for surgical purposes. Forty-two (15%) of the admitted neonates presented early-onset sepsis. Most of the participating mothers were Greek (72.4%), followed by Albanians (17.9%). The median length of stay in the NICU was 12 (7–23) days. The median time (months) to the initiation of infant formula or solids was 1 (0–5) and 6 (5–6) respectively. Permanent residents of Attica accounted for 60.2% of our sample. Nearly half of the participants (42.7%) had previous breastfeeding experience, and only 4.7% had attended breastfeeding classes. Of the participating mothers, 144 (51.6%) were primigravidae, while 135 were multigravidae. Among the multigravid mothers, 119 (88.1%) had breastfeeding experience with a previous child. Detailed demographic characteristics’ data are presented in Table 1. The response rate to the telephone interviews was 57%, resulting in 279 mother–infant pairs being included in this study. A total of 255 mothers responded, 24 of whom had given birth to twins. Of all participating neonates, 56.3% were full-term, and 66.3% had been delivered via cesarean section; in total, 31.5% were inborn, while 68.5% were outborn. The median birthweight of our sample of infants was 2.700 g (1.960–3.250 g), and the median gestational age was 37 (34–38) weeks. Of the participating neonates, 25 (9%) were very-low-birthweight neonates; a total of 43 (15.4%) had a gestational age < 32 weeks, and 79 neonates (28.3%) were late preterm. A total of 21 neonates (7.5%) presented intrauterine growth restriction (IUGR), and 137 neonates (49.1%) had respiratory distress syndrome; in total, 67 neonates (24%) suffered from perinatal hypoxia, and 12 (4.3%) neonates were admitted for surgical purposes. Forty-two (15%) of the admitted neonates presented early-onset sepsis. Most of the participating mothers were Greek (72.4%), followed by Albanians (17.9%). The median length of stay in the NICU was 12 (7–23) days. The median time (months) to the initiation of infant formula or solids was 1 (0–5) and 6 (5–6) respectively. Permanent residents of Attica accounted for 60.2% of our sample. Nearly half of the participants (42.7%) had previous breastfeeding experience, and only 4.7% had attended breastfeeding classes. Of the participating mothers, 144 (51.6%) were primigravidae, while 135 were multigravidae. Among the multigravid mothers, 119 (88.1%) had breastfeeding experience with a previous child. Detailed demographic characteristics’ data are presented in Table 1. 3.2. Prevalence of Breastfeeding 3.2.1. Exclusive Breastfeeding The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. 3.2.2. Any Breastfeeding The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. A shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. The data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3. The rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups. The statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5). The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. A shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. The data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3. The rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups. The statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5). 3.2.1. Exclusive Breastfeeding The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. 3.2.2. Any Breastfeeding The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. A shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. The data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3. The rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups. The statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5). The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. A shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. The data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3. The rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups. The statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5).
5. Conclusions
Although breastfeeding support is a top priority in our NICU, the breastfeeding rates at six months for previously hospitalized infants were quite low compared with the standards set by the WHO. NICUs should promote breastfeeding, providing mothers/families with psychological support and comprehensive guidance on breastfeeding practices. The NICU environment is appropriate for educational interventions, as mothers are in close contact with healthcare professionals and have frequent access to lactation consultants and other breastfeeding resources. To better leverage this opportunity for the promotion of breastfeeding, healthcare professionals should identify mothers at a high risk of early breastfeeding cessation. Subsequently, educational and supportive interventions would need to be adjusted to overcome the obstacles impeding this subpopulation from breastfeeding. Evidence-based quality indicators are required for the comparative assessment of HM administration. The establishment of procedures that protect breastfeeding and the incorporation of lactation technologies that facilitate milk transportation are essential. An NICU is more than a treatment center for neonates; it is a living environment for newborns and their parents, with a focus on family-centered care.
[ "2. Materials and Methods ", "2.1. Definitions", "2.2. Breastfeeding Support and Promotion in NICU", "2.3. Inclusion Criteria", "2.4. Exclusion Criteria ", "2.5. Measurement", "2.6. Questionnaire Design", "2.7. Interview", "2.8. Statistical Analysis", "3.1. Descriptive Results", "3.2. Prevalence of Breastfeeding", "3.2.1. Exclusive Breastfeeding", "3.2.2. Any Breastfeeding " ]
[ "Data for this retrospective study were collected from interviews with mothers of infants/toddlers who were admitted to our NICU as neonates during 2017–2019. This research study followed the STROBE checklist (Supplementary Table S1). \n2.1. Definitions Exclusive Breastfeeding (EBF): The Infant Only Receives Maternal Milk and No Other Liquids, with the Exception of Vitamins, Rehydration Solutions, Minerals, and Medicines\nThe vast majority of neonates hospitalized in NICUs receive parenteral nutrition during the first days of life. In this study, the breastfeeding status was assessed following the achievement of full enteral feeding. Maternal milk during NICU stay was fortified in very-low-birthweight neonates; however, these neonates were included in the exclusively breastfed group if they had not received any formula milk. \nAny Breastfeeding (BF): Breastfeeding, Either Exclusive or Partial Breastfeeding, Supplemented with Formula Milk or Other Foods.\nExclusive Breastfeeding (EBF): The Infant Only Receives Maternal Milk and No Other Liquids, with the Exception of Vitamins, Rehydration Solutions, Minerals, and Medicines\nThe vast majority of neonates hospitalized in NICUs receive parenteral nutrition during the first days of life. In this study, the breastfeeding status was assessed following the achievement of full enteral feeding. Maternal milk during NICU stay was fortified in very-low-birthweight neonates; however, these neonates were included in the exclusively breastfed group if they had not received any formula milk. \nAny Breastfeeding (BF): Breastfeeding, Either Exclusive or Partial Breastfeeding, Supplemented with Formula Milk or Other Foods.\n2.2. Breastfeeding Support and Promotion in NICU The NICU of General Hospital “Agios Panteleimon” is a perinatal center of the 2nd Health District, which includes West Attica areas and the Aegean Sea islands. A high percentage of the neonates admitted to our NICU are transferred from remote areas, with a significant impact on breastfeeding availability and establishment in this population. Maternal milk is valuable for the care/treatment provided in an NICU; therefore, the establishment of breastfeeding in hospitalized neonates is a primary target of our NICU. With all neonatal admissions, as soon as possible following birth, parents are informed by appropriately educated personnel on the advantages of breastfeeding, on ways to maintain lactation, and on the storage and transfer conditions of maternal milk. Relevant information materials with detailed instructions are handed out to the parents upon the admission of their neonate. When the maternal–neonatal state allows it, skin-to-skin contact is recommended and encouraged (twice daily for at least thirty minutes). All mothers are educated and supported to breastfeed throughout the day, provided this is permitted by the neonatal state, safely and successfully, under the supervision of experienced personnel. \nThe NICU of General Hospital “Agios Panteleimon” is a perinatal center of the 2nd Health District, which includes West Attica areas and the Aegean Sea islands. A high percentage of the neonates admitted to our NICU are transferred from remote areas, with a significant impact on breastfeeding availability and establishment in this population. Maternal milk is valuable for the care/treatment provided in an NICU; therefore, the establishment of breastfeeding in hospitalized neonates is a primary target of our NICU. With all neonatal admissions, as soon as possible following birth, parents are informed by appropriately educated personnel on the advantages of breastfeeding, on ways to maintain lactation, and on the storage and transfer conditions of maternal milk. Relevant information materials with detailed instructions are handed out to the parents upon the admission of their neonate. When the maternal–neonatal state allows it, skin-to-skin contact is recommended and encouraged (twice daily for at least thirty minutes). All mothers are educated and supported to breastfeed throughout the day, provided this is permitted by the neonatal state, safely and successfully, under the supervision of experienced personnel. \n2.3. Inclusion Criteria All neonates born during the time period from January 2017 until December 2019 who were admitted to our NICU were included in this study. \nAll neonates born during the time period from January 2017 until December 2019 who were admitted to our NICU were included in this study. \n2.4. Exclusion Criteria Neonates of families residing in refugee camps were excluded from the study due to difficulties in communication (in the Greek or English language) with the mother/father and problems with the completion of the questionnaire. \nNeonates with congenital anomalies directly affecting enteral feeding, neonates for whom breastfeeding was absolutely contraindicated, and all the neonates who died in the NICU were excluded from the study. \nNeonates of families residing in refugee camps were excluded from the study due to difficulties in communication (in the Greek or English language) with the mother/father and problems with the completion of the questionnaire. \nNeonates with congenital anomalies directly affecting enteral feeding, neonates for whom breastfeeding was absolutely contraindicated, and all the neonates who died in the NICU were excluded from the study. \n2.5. Measurement A structured questionnaire was created in order to retrieve data with regards to the nutrition of the child from birth to the interview, as well as maternal breastfeeding experience previous to this child. The percentage of breastfed infants, the percentage of exclusively breastfed infants, and the percentage of infants who were still breastfed at three, six, nine, twelve, and >eighteen months of age were documented. Furthermore, data regarding demographic characteristics of the mothers, previous breastfeeding experience, the timing of solid foods introduction, and breastfeeding experience during the NICU stay of the neonate were recorded (questionnaire data are presented in detail in the Supplementary Materials). Information on the prenatal period, gestation length, delivery mode, the duration of hospital stay, and the feeding of the neonates during their hospital stay was retrieved from medical records. \nA structured questionnaire was created in order to retrieve data with regards to the nutrition of the child from birth to the interview, as well as maternal breastfeeding experience previous to this child. The percentage of breastfed infants, the percentage of exclusively breastfed infants, and the percentage of infants who were still breastfed at three, six, nine, twelve, and >eighteen months of age were documented. Furthermore, data regarding demographic characteristics of the mothers, previous breastfeeding experience, the timing of solid foods introduction, and breastfeeding experience during the NICU stay of the neonate were recorded (questionnaire data are presented in detail in the Supplementary Materials). Information on the prenatal period, gestation length, delivery mode, the duration of hospital stay, and the feeding of the neonates during their hospital stay was retrieved from medical records. \n2.6. Questionnaire Design The questionnaire was designed to allow us to estimate the basic breastfeeding frequency indexes suggested by the WHO [2]. \nThe questionnaire was pilot-tested in 21 mothers to determine the time needed for completion, the degree of participant comprehension, and the sequence of questions. Subsequently, the questionnaire was revised based on pilot testing.\nThe questionnaire was designed to allow us to estimate the basic breastfeeding frequency indexes suggested by the WHO [2]. \nThe questionnaire was pilot-tested in 21 mothers to determine the time needed for completion, the degree of participant comprehension, and the sequence of questions. Subsequently, the questionnaire was revised based on pilot testing.\n2.7. Interview Contact details were retrieved through the medical files from the admission of neonates to the NICU. The study primarily included data from interviews with mothers. In case the mother did not speak Greek, the father could answer the interview questions in the presence of the mother. A telephone interview was conducted when the study infants were older than twelve months (March 2021–May 2021). The interview duration was approximately six to ten minutes. \nThe study was conducted according to the guidelines of the Declaration of Helsinki and was approved by the Institutional Review Board of Nikeaia General Hospital “Agios Panteleimon” (3/11, 22 January 2020). The interview was conducted following the verbal consent of the parent. Recruitment data are presented in a flow diagram (Figure 1).\nContact details were retrieved through the medical files from the admission of neonates to the NICU. The study primarily included data from interviews with mothers. In case the mother did not speak Greek, the father could answer the interview questions in the presence of the mother. A telephone interview was conducted when the study infants were older than twelve months (March 2021–May 2021). The interview duration was approximately six to ten minutes. \nThe study was conducted according to the guidelines of the Declaration of Helsinki and was approved by the Institutional Review Board of Nikeaia General Hospital “Agios Panteleimon” (3/11, 22 January 2020). The interview was conducted following the verbal consent of the parent. Recruitment data are presented in a flow diagram (Figure 1).\n2.8. Statistical Analysis Before comparing the independent groups, data distribution was examined for the determination of the most appropriate analysis. Initially, data were visually assessed by comparing their histograms with the normal probability curve; then, the Kolmogorov–Smirnov test for normality was performed. Both assessments demonstrated that the data were not normally distributed. For the descriptive statistics of quantitative variables, median values and interquartile range were used. Absolute (Ν) and relative (%) frequencies were used to describe qualitative variables. The non-parametric Mann–Whitney U test was applied for the comparison of the quantitative variables (which were non-normally distributed) between two groups. For the comparison among more than two groups, the non-parametric Kruskal–Wallis criterion was used. The duration of breastfeeding was assessed using the Kaplan–Meier survival estimator, with the cessation of exclusive and any breastfeeding being considered as the final events for the analysis. Infants who were breastfed at the end of the study period were labeled as censored. The duration of breastfeeding was defined as the number of months until the cessation of breastfeeding or from birth until the final date of follow-up. A Cox proportional hazards regression analysis was applied for the investigation of the simultaneous effect of several risk factors on the duration of breastfeeding. Covariate effects were considered using hazard ratios (HRs) and their 95% confidence intervals. A significance level of 0.05 was set (two-tailed significance levels). The SPSS 22.0 statistical program (IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY, USA: IBM Corp.) was used for the statistical analyses. \nBefore comparing the independent groups, data distribution was examined for the determination of the most appropriate analysis. Initially, data were visually assessed by comparing their histograms with the normal probability curve; then, the Kolmogorov–Smirnov test for normality was performed. Both assessments demonstrated that the data were not normally distributed. For the descriptive statistics of quantitative variables, median values and interquartile range were used. Absolute (Ν) and relative (%) frequencies were used to describe qualitative variables. The non-parametric Mann–Whitney U test was applied for the comparison of the quantitative variables (which were non-normally distributed) between two groups. For the comparison among more than two groups, the non-parametric Kruskal–Wallis criterion was used. The duration of breastfeeding was assessed using the Kaplan–Meier survival estimator, with the cessation of exclusive and any breastfeeding being considered as the final events for the analysis. Infants who were breastfed at the end of the study period were labeled as censored. The duration of breastfeeding was defined as the number of months until the cessation of breastfeeding or from birth until the final date of follow-up. A Cox proportional hazards regression analysis was applied for the investigation of the simultaneous effect of several risk factors on the duration of breastfeeding. Covariate effects were considered using hazard ratios (HRs) and their 95% confidence intervals. A significance level of 0.05 was set (two-tailed significance levels). The SPSS 22.0 statistical program (IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY, USA: IBM Corp.) was used for the statistical analyses. ", "Exclusive Breastfeeding (EBF): The Infant Only Receives Maternal Milk and No Other Liquids, with the Exception of Vitamins, Rehydration Solutions, Minerals, and Medicines\nThe vast majority of neonates hospitalized in NICUs receive parenteral nutrition during the first days of life. In this study, the breastfeeding status was assessed following the achievement of full enteral feeding. Maternal milk during NICU stay was fortified in very-low-birthweight neonates; however, these neonates were included in the exclusively breastfed group if they had not received any formula milk. \nAny Breastfeeding (BF): Breastfeeding, Either Exclusive or Partial Breastfeeding, Supplemented with Formula Milk or Other Foods.", "The NICU of General Hospital “Agios Panteleimon” is a perinatal center of the 2nd Health District, which includes West Attica areas and the Aegean Sea islands. A high percentage of the neonates admitted to our NICU are transferred from remote areas, with a significant impact on breastfeeding availability and establishment in this population. Maternal milk is valuable for the care/treatment provided in an NICU; therefore, the establishment of breastfeeding in hospitalized neonates is a primary target of our NICU. With all neonatal admissions, as soon as possible following birth, parents are informed by appropriately educated personnel on the advantages of breastfeeding, on ways to maintain lactation, and on the storage and transfer conditions of maternal milk. Relevant information materials with detailed instructions are handed out to the parents upon the admission of their neonate. When the maternal–neonatal state allows it, skin-to-skin contact is recommended and encouraged (twice daily for at least thirty minutes). All mothers are educated and supported to breastfeed throughout the day, provided this is permitted by the neonatal state, safely and successfully, under the supervision of experienced personnel. ", "All neonates born during the time period from January 2017 until December 2019 who were admitted to our NICU were included in this study. ", "Neonates of families residing in refugee camps were excluded from the study due to difficulties in communication (in the Greek or English language) with the mother/father and problems with the completion of the questionnaire. \nNeonates with congenital anomalies directly affecting enteral feeding, neonates for whom breastfeeding was absolutely contraindicated, and all the neonates who died in the NICU were excluded from the study. ", "A structured questionnaire was created in order to retrieve data with regards to the nutrition of the child from birth to the interview, as well as maternal breastfeeding experience previous to this child. The percentage of breastfed infants, the percentage of exclusively breastfed infants, and the percentage of infants who were still breastfed at three, six, nine, twelve, and >eighteen months of age were documented. Furthermore, data regarding demographic characteristics of the mothers, previous breastfeeding experience, the timing of solid foods introduction, and breastfeeding experience during the NICU stay of the neonate were recorded (questionnaire data are presented in detail in the Supplementary Materials). Information on the prenatal period, gestation length, delivery mode, the duration of hospital stay, and the feeding of the neonates during their hospital stay was retrieved from medical records. ", "The questionnaire was designed to allow us to estimate the basic breastfeeding frequency indexes suggested by the WHO [2]. \nThe questionnaire was pilot-tested in 21 mothers to determine the time needed for completion, the degree of participant comprehension, and the sequence of questions. Subsequently, the questionnaire was revised based on pilot testing.", "Contact details were retrieved through the medical files from the admission of neonates to the NICU. The study primarily included data from interviews with mothers. In case the mother did not speak Greek, the father could answer the interview questions in the presence of the mother. A telephone interview was conducted when the study infants were older than twelve months (March 2021–May 2021). The interview duration was approximately six to ten minutes. \nThe study was conducted according to the guidelines of the Declaration of Helsinki and was approved by the Institutional Review Board of Nikeaia General Hospital “Agios Panteleimon” (3/11, 22 January 2020). The interview was conducted following the verbal consent of the parent. Recruitment data are presented in a flow diagram (Figure 1).", "Before comparing the independent groups, data distribution was examined for the determination of the most appropriate analysis. Initially, data were visually assessed by comparing their histograms with the normal probability curve; then, the Kolmogorov–Smirnov test for normality was performed. Both assessments demonstrated that the data were not normally distributed. For the descriptive statistics of quantitative variables, median values and interquartile range were used. Absolute (Ν) and relative (%) frequencies were used to describe qualitative variables. The non-parametric Mann–Whitney U test was applied for the comparison of the quantitative variables (which were non-normally distributed) between two groups. For the comparison among more than two groups, the non-parametric Kruskal–Wallis criterion was used. The duration of breastfeeding was assessed using the Kaplan–Meier survival estimator, with the cessation of exclusive and any breastfeeding being considered as the final events for the analysis. Infants who were breastfed at the end of the study period were labeled as censored. The duration of breastfeeding was defined as the number of months until the cessation of breastfeeding or from birth until the final date of follow-up. A Cox proportional hazards regression analysis was applied for the investigation of the simultaneous effect of several risk factors on the duration of breastfeeding. Covariate effects were considered using hazard ratios (HRs) and their 95% confidence intervals. A significance level of 0.05 was set (two-tailed significance levels). The SPSS 22.0 statistical program (IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY, USA: IBM Corp.) was used for the statistical analyses. ", "The response rate to the telephone interviews was 57%, resulting in 279 mother–infant pairs being included in this study. A total of 255 mothers responded, 24 of whom had given birth to twins. Of all participating neonates, 56.3% were full-term, and 66.3% had been delivered via cesarean section; in total, 31.5% were inborn, while 68.5% were outborn. The median birthweight of our sample of infants was 2.700 g (1.960–3.250 g), and the median gestational age was 37 (34–38) weeks. Of the participating neonates, 25 (9%) were very-low-birthweight neonates; a total of 43 (15.4%) had a gestational age < 32 weeks, and 79 neonates (28.3%) were late preterm. A total of 21 neonates (7.5%) presented intrauterine growth restriction (IUGR), and 137 neonates (49.1%) had respiratory distress syndrome; in total, 67 neonates (24%) suffered from perinatal hypoxia, and 12 (4.3%) neonates were admitted for surgical purposes. Forty-two (15%) of the admitted neonates presented early-onset sepsis. Most of the participating mothers were Greek (72.4%), followed by Albanians (17.9%). The median length of stay in the NICU was 12 (7–23) days. The median time (months) to the initiation of infant formula or solids was 1 (0–5) and 6 (5–6) respectively. Permanent residents of Attica accounted for 60.2% of our sample. Nearly half of the participants (42.7%) had previous breastfeeding experience, and only 4.7% had attended breastfeeding classes. Of the participating mothers, 144 (51.6%) were primigravidae, while 135 were multigravidae. Among the multigravid mothers, 119 (88.1%) had breastfeeding experience with a previous child. Detailed demographic characteristics’ data are presented in Table 1. ", "3.2.1. Exclusive Breastfeeding The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. \nThe prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. \n3.2.2. Any Breastfeeding The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. \nA shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. \nThe data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3.\nThe rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups.\nThe statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5).\nThe breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. \nA shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. \nThe data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3.\nThe rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups.\nThe statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5).", "The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. ", "The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. \nA shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. \nThe data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3.\nThe rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups.\nThe statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5)." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "1. Introduction", "2. Materials and Methods ", "2.1. Definitions", "2.2. Breastfeeding Support and Promotion in NICU", "2.3. Inclusion Criteria", "2.4. Exclusion Criteria ", "2.5. Measurement", "2.6. Questionnaire Design", "2.7. Interview", "2.8. Statistical Analysis", "3. Results", "3.1. Descriptive Results", "3.2. Prevalence of Breastfeeding", "3.2.1. Exclusive Breastfeeding", "3.2.2. Any Breastfeeding ", "4. Discussion", "5. Conclusions" ]
[ "For optimal health outcomes, the World Health Organization recommends exclusive breastfeeding for the first 6 months of life, followed by the appropriate introduction of complementary foods with continued breastfeeding to two years and beyond [1,2,3].\nMultiple recent publications report the short-term and long-term advantages of maternal milk for preterm neonates. Maternal milk contains the optimal immunologic, anti-oxidative, and growth factors for various neonatal systems [4].\nFeeding with human milk (HM) from the neonate’s own mother reduces the risk for short-term and long-term morbidity and, subsequently, the cost of care of ill preterm and full-term neonates [5]. Regarding preterm neonates, higher HM doses are correlated with a lower risk of enteral feeding intolerance, late sepsis, chronic pulmonary disease, retinopathy of prematurity, neurocognitive impairment, and less hospital re-admissions by the ages of 18–30 months [6,7,8,9,10,11,12,13,14,15,16]. \nAlmost 10–12% of neonates born in the United States are preterm, and admission to NICUs is necessary for many of them [17]. Approximately 10% of full-term neonates require more-advanced-than-usual medical care, and a large proportion of them is also admitted to NICUs. Hospitalized neonates represent a population with a higher risk of adverse short-term and long-term outcomes than healthy full-term neonates [18,19,20]. Admission to NICU has been suggested as a primary inhibiting factor in establishing breastfeeding, with neonates admitted to NICUs presenting lower rates of breastfeeding than healthy neonates [21,22,23,24,25]. Probable causes of this phenomenon include the separation of the mother and the neonate; the stress and anxiety of the mother, which may result in depressive disorder; and the clinical status of the mother and/or the neonate [26,27,28,29]. Until now, in Greece, the direct impact of postnatal mother–neonate separation in establishing and maintaining breastfeeding in neonates admitted to NICUs is largely unknown and needs to be further investigated. \nThe aims of this study were to (1) assess the prevalence and duration of breastfeeding in infants/toddlers who had been admitted to a Greek NICU and (2) to assess the probable effect of certain factors associated with the NICU stay on the rate, establishment, and duration of breastfeeding in infants/toddlers previously admitted to the NICU. ", "Data for this retrospective study were collected from interviews with mothers of infants/toddlers who were admitted to our NICU as neonates during 2017–2019. This research study followed the STROBE checklist (Supplementary Table S1). \n2.1. Definitions Exclusive Breastfeeding (EBF): The Infant Only Receives Maternal Milk and No Other Liquids, with the Exception of Vitamins, Rehydration Solutions, Minerals, and Medicines\nThe vast majority of neonates hospitalized in NICUs receive parenteral nutrition during the first days of life. In this study, the breastfeeding status was assessed following the achievement of full enteral feeding. Maternal milk during NICU stay was fortified in very-low-birthweight neonates; however, these neonates were included in the exclusively breastfed group if they had not received any formula milk. \nAny Breastfeeding (BF): Breastfeeding, Either Exclusive or Partial Breastfeeding, Supplemented with Formula Milk or Other Foods.\nExclusive Breastfeeding (EBF): The Infant Only Receives Maternal Milk and No Other Liquids, with the Exception of Vitamins, Rehydration Solutions, Minerals, and Medicines\nThe vast majority of neonates hospitalized in NICUs receive parenteral nutrition during the first days of life. In this study, the breastfeeding status was assessed following the achievement of full enteral feeding. Maternal milk during NICU stay was fortified in very-low-birthweight neonates; however, these neonates were included in the exclusively breastfed group if they had not received any formula milk. \nAny Breastfeeding (BF): Breastfeeding, Either Exclusive or Partial Breastfeeding, Supplemented with Formula Milk or Other Foods.\n2.2. Breastfeeding Support and Promotion in NICU The NICU of General Hospital “Agios Panteleimon” is a perinatal center of the 2nd Health District, which includes West Attica areas and the Aegean Sea islands. A high percentage of the neonates admitted to our NICU are transferred from remote areas, with a significant impact on breastfeeding availability and establishment in this population. Maternal milk is valuable for the care/treatment provided in an NICU; therefore, the establishment of breastfeeding in hospitalized neonates is a primary target of our NICU. With all neonatal admissions, as soon as possible following birth, parents are informed by appropriately educated personnel on the advantages of breastfeeding, on ways to maintain lactation, and on the storage and transfer conditions of maternal milk. Relevant information materials with detailed instructions are handed out to the parents upon the admission of their neonate. When the maternal–neonatal state allows it, skin-to-skin contact is recommended and encouraged (twice daily for at least thirty minutes). All mothers are educated and supported to breastfeed throughout the day, provided this is permitted by the neonatal state, safely and successfully, under the supervision of experienced personnel. \nThe NICU of General Hospital “Agios Panteleimon” is a perinatal center of the 2nd Health District, which includes West Attica areas and the Aegean Sea islands. A high percentage of the neonates admitted to our NICU are transferred from remote areas, with a significant impact on breastfeeding availability and establishment in this population. Maternal milk is valuable for the care/treatment provided in an NICU; therefore, the establishment of breastfeeding in hospitalized neonates is a primary target of our NICU. With all neonatal admissions, as soon as possible following birth, parents are informed by appropriately educated personnel on the advantages of breastfeeding, on ways to maintain lactation, and on the storage and transfer conditions of maternal milk. Relevant information materials with detailed instructions are handed out to the parents upon the admission of their neonate. When the maternal–neonatal state allows it, skin-to-skin contact is recommended and encouraged (twice daily for at least thirty minutes). All mothers are educated and supported to breastfeed throughout the day, provided this is permitted by the neonatal state, safely and successfully, under the supervision of experienced personnel. \n2.3. Inclusion Criteria All neonates born during the time period from January 2017 until December 2019 who were admitted to our NICU were included in this study. \nAll neonates born during the time period from January 2017 until December 2019 who were admitted to our NICU were included in this study. \n2.4. Exclusion Criteria Neonates of families residing in refugee camps were excluded from the study due to difficulties in communication (in the Greek or English language) with the mother/father and problems with the completion of the questionnaire. \nNeonates with congenital anomalies directly affecting enteral feeding, neonates for whom breastfeeding was absolutely contraindicated, and all the neonates who died in the NICU were excluded from the study. \nNeonates of families residing in refugee camps were excluded from the study due to difficulties in communication (in the Greek or English language) with the mother/father and problems with the completion of the questionnaire. \nNeonates with congenital anomalies directly affecting enteral feeding, neonates for whom breastfeeding was absolutely contraindicated, and all the neonates who died in the NICU were excluded from the study. \n2.5. Measurement A structured questionnaire was created in order to retrieve data with regards to the nutrition of the child from birth to the interview, as well as maternal breastfeeding experience previous to this child. The percentage of breastfed infants, the percentage of exclusively breastfed infants, and the percentage of infants who were still breastfed at three, six, nine, twelve, and >eighteen months of age were documented. Furthermore, data regarding demographic characteristics of the mothers, previous breastfeeding experience, the timing of solid foods introduction, and breastfeeding experience during the NICU stay of the neonate were recorded (questionnaire data are presented in detail in the Supplementary Materials). Information on the prenatal period, gestation length, delivery mode, the duration of hospital stay, and the feeding of the neonates during their hospital stay was retrieved from medical records. \nA structured questionnaire was created in order to retrieve data with regards to the nutrition of the child from birth to the interview, as well as maternal breastfeeding experience previous to this child. The percentage of breastfed infants, the percentage of exclusively breastfed infants, and the percentage of infants who were still breastfed at three, six, nine, twelve, and >eighteen months of age were documented. Furthermore, data regarding demographic characteristics of the mothers, previous breastfeeding experience, the timing of solid foods introduction, and breastfeeding experience during the NICU stay of the neonate were recorded (questionnaire data are presented in detail in the Supplementary Materials). Information on the prenatal period, gestation length, delivery mode, the duration of hospital stay, and the feeding of the neonates during their hospital stay was retrieved from medical records. \n2.6. Questionnaire Design The questionnaire was designed to allow us to estimate the basic breastfeeding frequency indexes suggested by the WHO [2]. \nThe questionnaire was pilot-tested in 21 mothers to determine the time needed for completion, the degree of participant comprehension, and the sequence of questions. Subsequently, the questionnaire was revised based on pilot testing.\nThe questionnaire was designed to allow us to estimate the basic breastfeeding frequency indexes suggested by the WHO [2]. \nThe questionnaire was pilot-tested in 21 mothers to determine the time needed for completion, the degree of participant comprehension, and the sequence of questions. Subsequently, the questionnaire was revised based on pilot testing.\n2.7. Interview Contact details were retrieved through the medical files from the admission of neonates to the NICU. The study primarily included data from interviews with mothers. In case the mother did not speak Greek, the father could answer the interview questions in the presence of the mother. A telephone interview was conducted when the study infants were older than twelve months (March 2021–May 2021). The interview duration was approximately six to ten minutes. \nThe study was conducted according to the guidelines of the Declaration of Helsinki and was approved by the Institutional Review Board of Nikeaia General Hospital “Agios Panteleimon” (3/11, 22 January 2020). The interview was conducted following the verbal consent of the parent. Recruitment data are presented in a flow diagram (Figure 1).\nContact details were retrieved through the medical files from the admission of neonates to the NICU. The study primarily included data from interviews with mothers. In case the mother did not speak Greek, the father could answer the interview questions in the presence of the mother. A telephone interview was conducted when the study infants were older than twelve months (March 2021–May 2021). The interview duration was approximately six to ten minutes. \nThe study was conducted according to the guidelines of the Declaration of Helsinki and was approved by the Institutional Review Board of Nikeaia General Hospital “Agios Panteleimon” (3/11, 22 January 2020). The interview was conducted following the verbal consent of the parent. Recruitment data are presented in a flow diagram (Figure 1).\n2.8. Statistical Analysis Before comparing the independent groups, data distribution was examined for the determination of the most appropriate analysis. Initially, data were visually assessed by comparing their histograms with the normal probability curve; then, the Kolmogorov–Smirnov test for normality was performed. Both assessments demonstrated that the data were not normally distributed. For the descriptive statistics of quantitative variables, median values and interquartile range were used. Absolute (Ν) and relative (%) frequencies were used to describe qualitative variables. The non-parametric Mann–Whitney U test was applied for the comparison of the quantitative variables (which were non-normally distributed) between two groups. For the comparison among more than two groups, the non-parametric Kruskal–Wallis criterion was used. The duration of breastfeeding was assessed using the Kaplan–Meier survival estimator, with the cessation of exclusive and any breastfeeding being considered as the final events for the analysis. Infants who were breastfed at the end of the study period were labeled as censored. The duration of breastfeeding was defined as the number of months until the cessation of breastfeeding or from birth until the final date of follow-up. A Cox proportional hazards regression analysis was applied for the investigation of the simultaneous effect of several risk factors on the duration of breastfeeding. Covariate effects were considered using hazard ratios (HRs) and their 95% confidence intervals. A significance level of 0.05 was set (two-tailed significance levels). The SPSS 22.0 statistical program (IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY, USA: IBM Corp.) was used for the statistical analyses. \nBefore comparing the independent groups, data distribution was examined for the determination of the most appropriate analysis. Initially, data were visually assessed by comparing their histograms with the normal probability curve; then, the Kolmogorov–Smirnov test for normality was performed. Both assessments demonstrated that the data were not normally distributed. For the descriptive statistics of quantitative variables, median values and interquartile range were used. Absolute (Ν) and relative (%) frequencies were used to describe qualitative variables. The non-parametric Mann–Whitney U test was applied for the comparison of the quantitative variables (which were non-normally distributed) between two groups. For the comparison among more than two groups, the non-parametric Kruskal–Wallis criterion was used. The duration of breastfeeding was assessed using the Kaplan–Meier survival estimator, with the cessation of exclusive and any breastfeeding being considered as the final events for the analysis. Infants who were breastfed at the end of the study period were labeled as censored. The duration of breastfeeding was defined as the number of months until the cessation of breastfeeding or from birth until the final date of follow-up. A Cox proportional hazards regression analysis was applied for the investigation of the simultaneous effect of several risk factors on the duration of breastfeeding. Covariate effects were considered using hazard ratios (HRs) and their 95% confidence intervals. A significance level of 0.05 was set (two-tailed significance levels). The SPSS 22.0 statistical program (IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY, USA: IBM Corp.) was used for the statistical analyses. ", "Exclusive Breastfeeding (EBF): The Infant Only Receives Maternal Milk and No Other Liquids, with the Exception of Vitamins, Rehydration Solutions, Minerals, and Medicines\nThe vast majority of neonates hospitalized in NICUs receive parenteral nutrition during the first days of life. In this study, the breastfeeding status was assessed following the achievement of full enteral feeding. Maternal milk during NICU stay was fortified in very-low-birthweight neonates; however, these neonates were included in the exclusively breastfed group if they had not received any formula milk. \nAny Breastfeeding (BF): Breastfeeding, Either Exclusive or Partial Breastfeeding, Supplemented with Formula Milk or Other Foods.", "The NICU of General Hospital “Agios Panteleimon” is a perinatal center of the 2nd Health District, which includes West Attica areas and the Aegean Sea islands. A high percentage of the neonates admitted to our NICU are transferred from remote areas, with a significant impact on breastfeeding availability and establishment in this population. Maternal milk is valuable for the care/treatment provided in an NICU; therefore, the establishment of breastfeeding in hospitalized neonates is a primary target of our NICU. With all neonatal admissions, as soon as possible following birth, parents are informed by appropriately educated personnel on the advantages of breastfeeding, on ways to maintain lactation, and on the storage and transfer conditions of maternal milk. Relevant information materials with detailed instructions are handed out to the parents upon the admission of their neonate. When the maternal–neonatal state allows it, skin-to-skin contact is recommended and encouraged (twice daily for at least thirty minutes). All mothers are educated and supported to breastfeed throughout the day, provided this is permitted by the neonatal state, safely and successfully, under the supervision of experienced personnel. ", "All neonates born during the time period from January 2017 until December 2019 who were admitted to our NICU were included in this study. ", "Neonates of families residing in refugee camps were excluded from the study due to difficulties in communication (in the Greek or English language) with the mother/father and problems with the completion of the questionnaire. \nNeonates with congenital anomalies directly affecting enteral feeding, neonates for whom breastfeeding was absolutely contraindicated, and all the neonates who died in the NICU were excluded from the study. ", "A structured questionnaire was created in order to retrieve data with regards to the nutrition of the child from birth to the interview, as well as maternal breastfeeding experience previous to this child. The percentage of breastfed infants, the percentage of exclusively breastfed infants, and the percentage of infants who were still breastfed at three, six, nine, twelve, and >eighteen months of age were documented. Furthermore, data regarding demographic characteristics of the mothers, previous breastfeeding experience, the timing of solid foods introduction, and breastfeeding experience during the NICU stay of the neonate were recorded (questionnaire data are presented in detail in the Supplementary Materials). Information on the prenatal period, gestation length, delivery mode, the duration of hospital stay, and the feeding of the neonates during their hospital stay was retrieved from medical records. ", "The questionnaire was designed to allow us to estimate the basic breastfeeding frequency indexes suggested by the WHO [2]. \nThe questionnaire was pilot-tested in 21 mothers to determine the time needed for completion, the degree of participant comprehension, and the sequence of questions. Subsequently, the questionnaire was revised based on pilot testing.", "Contact details were retrieved through the medical files from the admission of neonates to the NICU. The study primarily included data from interviews with mothers. In case the mother did not speak Greek, the father could answer the interview questions in the presence of the mother. A telephone interview was conducted when the study infants were older than twelve months (March 2021–May 2021). The interview duration was approximately six to ten minutes. \nThe study was conducted according to the guidelines of the Declaration of Helsinki and was approved by the Institutional Review Board of Nikeaia General Hospital “Agios Panteleimon” (3/11, 22 January 2020). The interview was conducted following the verbal consent of the parent. Recruitment data are presented in a flow diagram (Figure 1).", "Before comparing the independent groups, data distribution was examined for the determination of the most appropriate analysis. Initially, data were visually assessed by comparing their histograms with the normal probability curve; then, the Kolmogorov–Smirnov test for normality was performed. Both assessments demonstrated that the data were not normally distributed. For the descriptive statistics of quantitative variables, median values and interquartile range were used. Absolute (Ν) and relative (%) frequencies were used to describe qualitative variables. The non-parametric Mann–Whitney U test was applied for the comparison of the quantitative variables (which were non-normally distributed) between two groups. For the comparison among more than two groups, the non-parametric Kruskal–Wallis criterion was used. The duration of breastfeeding was assessed using the Kaplan–Meier survival estimator, with the cessation of exclusive and any breastfeeding being considered as the final events for the analysis. Infants who were breastfed at the end of the study period were labeled as censored. The duration of breastfeeding was defined as the number of months until the cessation of breastfeeding or from birth until the final date of follow-up. A Cox proportional hazards regression analysis was applied for the investigation of the simultaneous effect of several risk factors on the duration of breastfeeding. Covariate effects were considered using hazard ratios (HRs) and their 95% confidence intervals. A significance level of 0.05 was set (two-tailed significance levels). The SPSS 22.0 statistical program (IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY, USA: IBM Corp.) was used for the statistical analyses. ", "3.1. Descriptive Results The response rate to the telephone interviews was 57%, resulting in 279 mother–infant pairs being included in this study. A total of 255 mothers responded, 24 of whom had given birth to twins. Of all participating neonates, 56.3% were full-term, and 66.3% had been delivered via cesarean section; in total, 31.5% were inborn, while 68.5% were outborn. The median birthweight of our sample of infants was 2.700 g (1.960–3.250 g), and the median gestational age was 37 (34–38) weeks. Of the participating neonates, 25 (9%) were very-low-birthweight neonates; a total of 43 (15.4%) had a gestational age < 32 weeks, and 79 neonates (28.3%) were late preterm. A total of 21 neonates (7.5%) presented intrauterine growth restriction (IUGR), and 137 neonates (49.1%) had respiratory distress syndrome; in total, 67 neonates (24%) suffered from perinatal hypoxia, and 12 (4.3%) neonates were admitted for surgical purposes. Forty-two (15%) of the admitted neonates presented early-onset sepsis. Most of the participating mothers were Greek (72.4%), followed by Albanians (17.9%). The median length of stay in the NICU was 12 (7–23) days. The median time (months) to the initiation of infant formula or solids was 1 (0–5) and 6 (5–6) respectively. Permanent residents of Attica accounted for 60.2% of our sample. Nearly half of the participants (42.7%) had previous breastfeeding experience, and only 4.7% had attended breastfeeding classes. Of the participating mothers, 144 (51.6%) were primigravidae, while 135 were multigravidae. Among the multigravid mothers, 119 (88.1%) had breastfeeding experience with a previous child. Detailed demographic characteristics’ data are presented in Table 1. \nThe response rate to the telephone interviews was 57%, resulting in 279 mother–infant pairs being included in this study. A total of 255 mothers responded, 24 of whom had given birth to twins. Of all participating neonates, 56.3% were full-term, and 66.3% had been delivered via cesarean section; in total, 31.5% were inborn, while 68.5% were outborn. The median birthweight of our sample of infants was 2.700 g (1.960–3.250 g), and the median gestational age was 37 (34–38) weeks. Of the participating neonates, 25 (9%) were very-low-birthweight neonates; a total of 43 (15.4%) had a gestational age < 32 weeks, and 79 neonates (28.3%) were late preterm. A total of 21 neonates (7.5%) presented intrauterine growth restriction (IUGR), and 137 neonates (49.1%) had respiratory distress syndrome; in total, 67 neonates (24%) suffered from perinatal hypoxia, and 12 (4.3%) neonates were admitted for surgical purposes. Forty-two (15%) of the admitted neonates presented early-onset sepsis. Most of the participating mothers were Greek (72.4%), followed by Albanians (17.9%). The median length of stay in the NICU was 12 (7–23) days. The median time (months) to the initiation of infant formula or solids was 1 (0–5) and 6 (5–6) respectively. Permanent residents of Attica accounted for 60.2% of our sample. Nearly half of the participants (42.7%) had previous breastfeeding experience, and only 4.7% had attended breastfeeding classes. Of the participating mothers, 144 (51.6%) were primigravidae, while 135 were multigravidae. Among the multigravid mothers, 119 (88.1%) had breastfeeding experience with a previous child. Detailed demographic characteristics’ data are presented in Table 1. \n3.2. Prevalence of Breastfeeding 3.2.1. Exclusive Breastfeeding The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. \nThe prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. \n3.2.2. Any Breastfeeding The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. \nA shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. \nThe data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3.\nThe rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups.\nThe statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5).\nThe breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. \nA shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. \nThe data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3.\nThe rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups.\nThe statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5).\n3.2.1. Exclusive Breastfeeding The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. \nThe prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. \n3.2.2. Any Breastfeeding The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. \nA shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. \nThe data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3.\nThe rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups.\nThe statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5).\nThe breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. \nA shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. \nThe data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3.\nThe rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups.\nThe statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5).", "The response rate to the telephone interviews was 57%, resulting in 279 mother–infant pairs being included in this study. A total of 255 mothers responded, 24 of whom had given birth to twins. Of all participating neonates, 56.3% were full-term, and 66.3% had been delivered via cesarean section; in total, 31.5% were inborn, while 68.5% were outborn. The median birthweight of our sample of infants was 2.700 g (1.960–3.250 g), and the median gestational age was 37 (34–38) weeks. Of the participating neonates, 25 (9%) were very-low-birthweight neonates; a total of 43 (15.4%) had a gestational age < 32 weeks, and 79 neonates (28.3%) were late preterm. A total of 21 neonates (7.5%) presented intrauterine growth restriction (IUGR), and 137 neonates (49.1%) had respiratory distress syndrome; in total, 67 neonates (24%) suffered from perinatal hypoxia, and 12 (4.3%) neonates were admitted for surgical purposes. Forty-two (15%) of the admitted neonates presented early-onset sepsis. Most of the participating mothers were Greek (72.4%), followed by Albanians (17.9%). The median length of stay in the NICU was 12 (7–23) days. The median time (months) to the initiation of infant formula or solids was 1 (0–5) and 6 (5–6) respectively. Permanent residents of Attica accounted for 60.2% of our sample. Nearly half of the participants (42.7%) had previous breastfeeding experience, and only 4.7% had attended breastfeeding classes. Of the participating mothers, 144 (51.6%) were primigravidae, while 135 were multigravidae. Among the multigravid mothers, 119 (88.1%) had breastfeeding experience with a previous child. Detailed demographic characteristics’ data are presented in Table 1. ", "3.2.1. Exclusive Breastfeeding The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. \nThe prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. \n3.2.2. Any Breastfeeding The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. \nA shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. \nThe data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3.\nThe rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups.\nThe statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5).\nThe breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. \nA shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. \nThe data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3.\nThe rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups.\nThe statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5).", "The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. ", "The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. \nA shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. \nThe data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3.\nThe rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups.\nThe statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5).", "Breastfeeding practices in Greece have not been thoroughly investigated. This study assesses breastfeeding status in a Greek NICU, contributing to the recognition of factors that affect the prevalence, establishment, and maintenance of breastfeeding in neonates admitted to the NICU. The percentage of exclusive breastfeeding at the first and sixth months of age in our study was lower than that recommended by the WHO [2] and CDC [30]. This was consistent with findings of previous studies [22,31,32]. The exclusive-breastfeeding rates in our study infants were similar to the respective rates of the general Greek population [31,32]. Maternal nationality, breastfeeding during NICU stay, maternal-milk administration during NICU stay, and maternal experience of breastfeeding older children were significantly positively correlated with the duration of breastfeeding. Prematurity, on the other hand, was inversely correlated with breastfeeding duration, which is consistent with data from other countries [5,33]. \nIn our cohort, the prevalence of exclusively breastfed infants during the first month of life was 58.1%. Dritsakou et al. [34] recruited 161 healthy pregnant women who attended prenatal breastfeeding classes and assessed the effect of maternal diet, personal traits, and the intention to breastfeed on the breastfeeding duration of neonates admitted to a Greek NICU. The authors reported that 81% of the study neonates were exclusively breastfed at discharge.\nThere is published evidence that preterm neonates tend to breastfeed less and for a shorter period of time than full-term neonates [35,36], and our findings are also in accordance with this. Consistently with previous studies [33,37], prematurity emerged as an adverse factor for exclusive and any breastfeeding in our study neonates. Preterm neonates are generally transferred to the NICU immediately after birth and are separated from their mothers, which results in the late initiation of breastfeeding [38]. The lower the gestational age is, the longer the neonate’s hospital stay is. Most preterm neonates below 34 weeks need to be fed via nasogastric tube due to sucking–swallowing incoordination. Neonates with respiratory distress, face anomalies, and central neural system disorders also require tube feeding, and the pumping of breast milk is necessary in these cases. The advantages of feeding preterm neonates with maternal milk, and especially colostrum, are paramount. However, and despite the significant efforts by the mothers and healthcare providers in NICUs, only around 30% of mothers giving birth to extremely low birthweight neonates manage to exclusively support the newborn with their milk during the first days of life [39,40]. The inability to ensure the required amount of milk to exclusively support the neonate is a primary aggravating factor for the psychology of the mother and may lead to the cessation of breastfeeding [41]. Medical personnel should focus on preterm and ill neonates, educating mothers to monitor daily lactation by completing a lactation diary, and intervene if needed for the optimization and promotion of breastfeeding in these neonates. The transfer of maternal milk by mothers and their families in order to feed the neonates during their NICU stay was associated with higher prevalence and duration of exclusive breastfeeding. Formula-feeding preterm neonates in the NICU was shown to affect the duration of exclusive breastfeeding following discharge [33]. In a national study in Denmark, it was observed that when mothers were allowed to visit and feed their preterm neonates in the NICU with a feeding cup or spoon, the hospital stay of these neonates was decreased. Moreover, mothers of neonates who had breastfed during their hospital stay continued breastfeeding for longer after discharge [42,43]. According to our findings, maternal-milk administration during hospital stay and breastfeeding experience in the NICU were prognostic independent variables for the duration of exclusive and any breastfeeding. Studies in multicultural societies demonstrated that refugees of any national group tended to maintain breastfeeding for longer than native mothers, even after the adjustment for socio-economic and demographic factors [44,45]. In our study population, the mother’s nationality was found to be an independent confounding factor for the duration of breastfeeding, with Greek mothers ceasing breastfeeding earlier than mothers of any other nationality. Previous breastfeeding experience was positively correlated with the duration of breastfeeding. In a large study in the Netherlands [46], a similar correlation was noted, although shortly after birth, firstborn children were more likely to be breastfed. This finding may be attributed to the fact that the reasons that led to the breastfeeding of the older child still existed for the younger newborn. In addition, the mother is more confident, has already practiced breastfeeding, and may be more knowledgeable regarding its advantages. It is well established that breastfeeding classes/seminars bear multiple benefits for both the mother and the neonate, as they offer, before labor, important information on the process and advantages of breastfeeding, leading to its successful initiation and establishment [47,48]. Despite the low rate in our sample, the attendance of breastfeeding classes seemed to have a positive effect on the duration of breastfeeding. \nMultiple studies have investigated risk factors for breastfeeding practices. A Lancet series in 2016 reported a wide range of historical, socioeconomical, cultural, and personal prognostic factors for breastfeeding practices [49]. There is evidence that cesarean section has a negative impact on the initiation and duration of breastfeeding, especially if it has been performed under general or spinal anesthesia [50,51]. This finding was attributed to the lower maternal prolactin levels, the post-operative pain and, particularly, to the delayed contact of the mother with the neonate. The labor mode was not associated with the duration of breastfeeding in our study. That could have been due to the fact that both preterm and full-term neonates who had been admitted to the NICU had failed to achieve the early skin-to-skin contact with their mothers and that the initiation of breastfeeding was delayed compared with healthy neonates. \nRecent studies focused on the association of inhibiting neighborhood factors on the duration of breastfeeding. It was reported that the dependence on public transportation and long distance commuting to the NICU negatively affected the frequency of maternal visits and the pumping and transport of maternal milk [52,53]. A large proportion of our NICU hospitalized neonates are transferred from distant areas of the country; however, neonatal transfer and permanent residence did not seem to impact the establishment of breastfeeding in our study. This could be explained by the practices of supporting and promoting neonatal feeding with maternal milk that are applied in our NICU. \nMaternal milk is the ideal nutrition for neonates and infants, protecting against infections and facilitating long-term health. Furthermore, it is a crucial element of public health, especially for preterm neonates (gestational age < 37 weeks) [54]. Breastfeeding bears immunological, nutritional, and neurodevelopmental benefits for preterm neonates. It is protective against necrotizing enterocolitis, bronchopulmonary dysplasia, and late sepsis [55,56,57,58]. Maternal-milk effects are dose-dependent. The quantity of maternal milk consumed by a neonate is inversely correlated with risk of death and necrotizing enterocolitis during the first 2 weeks of life [10]. Studies showed that high HM doses during the first 14–28 days of life are associated with a lower risk of various adverse outcomes in the NICU [7,10,11,12]. A research line indicated that it is the presence of bovine products (and not just the absence of feeding with HM) that negatively impacts intestinal permeability and colonization, rendering the association between HM and neonatal morbidity more complicated [6,16,59,60]. However, accumulating evidence suggests that bioactive HM components provide specific protection against morbidity through various mechanisms during different hospitalization periods in the NICU. Moreover, breastfeeding plays an important role on cognitive development, leading to a productive adulthood. Maternal milk includes long-chain polyunsaturated fatty acids, which promote brain growth. Research demonstrated that early visual acuity and cognitive functions are better developed in breastfed children [59,61,62]. Breastfeeding also appears to have a positive impact on infants’ emotional well-being. It helps establish mother–infant bonding, due to skin-to-skin contact, which allows the infant to smell, touch, and feel their mother. Breastfeeding is pivotal for both the mother and the infant, as their developing bond is critical for the individual and reflects on the whole family. It has been shown that breastfed infants have closer and more intimate relationships with other family members. All in all, breastfeeding contributes to the smooth emotional and social development of the infant [28,60]. NICU admission of the neonate results in physical and psychologic separation from the mother, a key factor responsible for the failure of breastfeeding [63]. Rooming-in is extremely fortifying for breastfeeding because it contributes to the development of a communication code, providing peace, protection, and safety to the neonate. Breastfeeding plays an important role in the prognosis of preterm and ill neonates. In addition to the optimal nutrition that covers their substantial needs for growth and development, breastfeeding is also therapeutic for preterm neonates [64]. Data on the benefits of HM use in NICUs are intriguing, yet the incorporation of this evidence in practices, policies, procedures, and parental educational materials is limited. HM feeding is still under-prioritized over other therapeutic interventions implemented in the NICUs. Scarce information and lactation induction practices for the optimization of breastfeeding are available to healthcare professionals in NICUs and to the families of the neonates [5]. \nThis study had a few limitations. The study design did not contain extensive data on the feeding status of the infant and/or the timing of breastfeeding initiation during their NICU stay. In addition, other important factors possibly affecting the duration of breastfeeding following the discharge of the neonate, including maternal age, educational level, and socio-economic status, were not recorded. Feedback on the duration of breastfeeding was provided by parents, making information bias possible; for example, mothers could have responded based on social expectations rather than their actual experience. The questionnaire was not validated in an extended Greek breastfeeding population. Sample size was only 279 mother–infant pairs. The breastfeeding practices of participants in this study may not be representative of regional or national practices. Probable systematic bias deriving from these limitations should be taken into account. Further large-scale, well-designed studies are necessary before the generalization of these study results. ", "Although breastfeeding support is a top priority in our NICU, the breastfeeding rates at six months for previously hospitalized infants were quite low compared with the standards set by the WHO. NICUs should promote breastfeeding, providing mothers/families with psychological support and comprehensive guidance on breastfeeding practices. The NICU environment is appropriate for educational interventions, as mothers are in close contact with healthcare professionals and have frequent access to lactation consultants and other breastfeeding resources. To better leverage this opportunity for the promotion of breastfeeding, healthcare professionals should identify mothers at a high risk of early breastfeeding cessation. Subsequently, educational and supportive interventions would need to be adjusted to overcome the obstacles impeding this subpopulation from breastfeeding. Evidence-based quality indicators are required for the comparative assessment of HM administration. The establishment of procedures that protect breastfeeding and the incorporation of lactation technologies that facilitate milk transportation are essential. An NICU is more than a treatment center for neonates; it is a living environment for newborns and their parents, with a focus on family-centered care." ]
[ "intro", null, null, null, null, null, null, null, null, null, "results", null, null, null, null, "discussion", "conclusions" ]
[ "breastfeeding", "neonates", "preterm neonates", "breastfeeding support", "lactation", "hospitalized neonates" ]
1. Introduction: For optimal health outcomes, the World Health Organization recommends exclusive breastfeeding for the first 6 months of life, followed by the appropriate introduction of complementary foods with continued breastfeeding to two years and beyond [1,2,3]. Multiple recent publications report the short-term and long-term advantages of maternal milk for preterm neonates. Maternal milk contains the optimal immunologic, anti-oxidative, and growth factors for various neonatal systems [4]. Feeding with human milk (HM) from the neonate’s own mother reduces the risk for short-term and long-term morbidity and, subsequently, the cost of care of ill preterm and full-term neonates [5]. Regarding preterm neonates, higher HM doses are correlated with a lower risk of enteral feeding intolerance, late sepsis, chronic pulmonary disease, retinopathy of prematurity, neurocognitive impairment, and less hospital re-admissions by the ages of 18–30 months [6,7,8,9,10,11,12,13,14,15,16]. Almost 10–12% of neonates born in the United States are preterm, and admission to NICUs is necessary for many of them [17]. Approximately 10% of full-term neonates require more-advanced-than-usual medical care, and a large proportion of them is also admitted to NICUs. Hospitalized neonates represent a population with a higher risk of adverse short-term and long-term outcomes than healthy full-term neonates [18,19,20]. Admission to NICU has been suggested as a primary inhibiting factor in establishing breastfeeding, with neonates admitted to NICUs presenting lower rates of breastfeeding than healthy neonates [21,22,23,24,25]. Probable causes of this phenomenon include the separation of the mother and the neonate; the stress and anxiety of the mother, which may result in depressive disorder; and the clinical status of the mother and/or the neonate [26,27,28,29]. Until now, in Greece, the direct impact of postnatal mother–neonate separation in establishing and maintaining breastfeeding in neonates admitted to NICUs is largely unknown and needs to be further investigated. The aims of this study were to (1) assess the prevalence and duration of breastfeeding in infants/toddlers who had been admitted to a Greek NICU and (2) to assess the probable effect of certain factors associated with the NICU stay on the rate, establishment, and duration of breastfeeding in infants/toddlers previously admitted to the NICU. 2. Materials and Methods : Data for this retrospective study were collected from interviews with mothers of infants/toddlers who were admitted to our NICU as neonates during 2017–2019. This research study followed the STROBE checklist (Supplementary Table S1). 2.1. Definitions Exclusive Breastfeeding (EBF): The Infant Only Receives Maternal Milk and No Other Liquids, with the Exception of Vitamins, Rehydration Solutions, Minerals, and Medicines The vast majority of neonates hospitalized in NICUs receive parenteral nutrition during the first days of life. In this study, the breastfeeding status was assessed following the achievement of full enteral feeding. Maternal milk during NICU stay was fortified in very-low-birthweight neonates; however, these neonates were included in the exclusively breastfed group if they had not received any formula milk. Any Breastfeeding (BF): Breastfeeding, Either Exclusive or Partial Breastfeeding, Supplemented with Formula Milk or Other Foods. Exclusive Breastfeeding (EBF): The Infant Only Receives Maternal Milk and No Other Liquids, with the Exception of Vitamins, Rehydration Solutions, Minerals, and Medicines The vast majority of neonates hospitalized in NICUs receive parenteral nutrition during the first days of life. In this study, the breastfeeding status was assessed following the achievement of full enteral feeding. Maternal milk during NICU stay was fortified in very-low-birthweight neonates; however, these neonates were included in the exclusively breastfed group if they had not received any formula milk. Any Breastfeeding (BF): Breastfeeding, Either Exclusive or Partial Breastfeeding, Supplemented with Formula Milk or Other Foods. 2.2. Breastfeeding Support and Promotion in NICU The NICU of General Hospital “Agios Panteleimon” is a perinatal center of the 2nd Health District, which includes West Attica areas and the Aegean Sea islands. A high percentage of the neonates admitted to our NICU are transferred from remote areas, with a significant impact on breastfeeding availability and establishment in this population. Maternal milk is valuable for the care/treatment provided in an NICU; therefore, the establishment of breastfeeding in hospitalized neonates is a primary target of our NICU. With all neonatal admissions, as soon as possible following birth, parents are informed by appropriately educated personnel on the advantages of breastfeeding, on ways to maintain lactation, and on the storage and transfer conditions of maternal milk. Relevant information materials with detailed instructions are handed out to the parents upon the admission of their neonate. When the maternal–neonatal state allows it, skin-to-skin contact is recommended and encouraged (twice daily for at least thirty minutes). All mothers are educated and supported to breastfeed throughout the day, provided this is permitted by the neonatal state, safely and successfully, under the supervision of experienced personnel. The NICU of General Hospital “Agios Panteleimon” is a perinatal center of the 2nd Health District, which includes West Attica areas and the Aegean Sea islands. A high percentage of the neonates admitted to our NICU are transferred from remote areas, with a significant impact on breastfeeding availability and establishment in this population. Maternal milk is valuable for the care/treatment provided in an NICU; therefore, the establishment of breastfeeding in hospitalized neonates is a primary target of our NICU. With all neonatal admissions, as soon as possible following birth, parents are informed by appropriately educated personnel on the advantages of breastfeeding, on ways to maintain lactation, and on the storage and transfer conditions of maternal milk. Relevant information materials with detailed instructions are handed out to the parents upon the admission of their neonate. When the maternal–neonatal state allows it, skin-to-skin contact is recommended and encouraged (twice daily for at least thirty minutes). All mothers are educated and supported to breastfeed throughout the day, provided this is permitted by the neonatal state, safely and successfully, under the supervision of experienced personnel. 2.3. Inclusion Criteria All neonates born during the time period from January 2017 until December 2019 who were admitted to our NICU were included in this study. All neonates born during the time period from January 2017 until December 2019 who were admitted to our NICU were included in this study. 2.4. Exclusion Criteria Neonates of families residing in refugee camps were excluded from the study due to difficulties in communication (in the Greek or English language) with the mother/father and problems with the completion of the questionnaire. Neonates with congenital anomalies directly affecting enteral feeding, neonates for whom breastfeeding was absolutely contraindicated, and all the neonates who died in the NICU were excluded from the study. Neonates of families residing in refugee camps were excluded from the study due to difficulties in communication (in the Greek or English language) with the mother/father and problems with the completion of the questionnaire. Neonates with congenital anomalies directly affecting enteral feeding, neonates for whom breastfeeding was absolutely contraindicated, and all the neonates who died in the NICU were excluded from the study. 2.5. Measurement A structured questionnaire was created in order to retrieve data with regards to the nutrition of the child from birth to the interview, as well as maternal breastfeeding experience previous to this child. The percentage of breastfed infants, the percentage of exclusively breastfed infants, and the percentage of infants who were still breastfed at three, six, nine, twelve, and >eighteen months of age were documented. Furthermore, data regarding demographic characteristics of the mothers, previous breastfeeding experience, the timing of solid foods introduction, and breastfeeding experience during the NICU stay of the neonate were recorded (questionnaire data are presented in detail in the Supplementary Materials). Information on the prenatal period, gestation length, delivery mode, the duration of hospital stay, and the feeding of the neonates during their hospital stay was retrieved from medical records. A structured questionnaire was created in order to retrieve data with regards to the nutrition of the child from birth to the interview, as well as maternal breastfeeding experience previous to this child. The percentage of breastfed infants, the percentage of exclusively breastfed infants, and the percentage of infants who were still breastfed at three, six, nine, twelve, and >eighteen months of age were documented. Furthermore, data regarding demographic characteristics of the mothers, previous breastfeeding experience, the timing of solid foods introduction, and breastfeeding experience during the NICU stay of the neonate were recorded (questionnaire data are presented in detail in the Supplementary Materials). Information on the prenatal period, gestation length, delivery mode, the duration of hospital stay, and the feeding of the neonates during their hospital stay was retrieved from medical records. 2.6. Questionnaire Design The questionnaire was designed to allow us to estimate the basic breastfeeding frequency indexes suggested by the WHO [2]. The questionnaire was pilot-tested in 21 mothers to determine the time needed for completion, the degree of participant comprehension, and the sequence of questions. Subsequently, the questionnaire was revised based on pilot testing. The questionnaire was designed to allow us to estimate the basic breastfeeding frequency indexes suggested by the WHO [2]. The questionnaire was pilot-tested in 21 mothers to determine the time needed for completion, the degree of participant comprehension, and the sequence of questions. Subsequently, the questionnaire was revised based on pilot testing. 2.7. Interview Contact details were retrieved through the medical files from the admission of neonates to the NICU. The study primarily included data from interviews with mothers. In case the mother did not speak Greek, the father could answer the interview questions in the presence of the mother. A telephone interview was conducted when the study infants were older than twelve months (March 2021–May 2021). The interview duration was approximately six to ten minutes. The study was conducted according to the guidelines of the Declaration of Helsinki and was approved by the Institutional Review Board of Nikeaia General Hospital “Agios Panteleimon” (3/11, 22 January 2020). The interview was conducted following the verbal consent of the parent. Recruitment data are presented in a flow diagram (Figure 1). Contact details were retrieved through the medical files from the admission of neonates to the NICU. The study primarily included data from interviews with mothers. In case the mother did not speak Greek, the father could answer the interview questions in the presence of the mother. A telephone interview was conducted when the study infants were older than twelve months (March 2021–May 2021). The interview duration was approximately six to ten minutes. The study was conducted according to the guidelines of the Declaration of Helsinki and was approved by the Institutional Review Board of Nikeaia General Hospital “Agios Panteleimon” (3/11, 22 January 2020). The interview was conducted following the verbal consent of the parent. Recruitment data are presented in a flow diagram (Figure 1). 2.8. Statistical Analysis Before comparing the independent groups, data distribution was examined for the determination of the most appropriate analysis. Initially, data were visually assessed by comparing their histograms with the normal probability curve; then, the Kolmogorov–Smirnov test for normality was performed. Both assessments demonstrated that the data were not normally distributed. For the descriptive statistics of quantitative variables, median values and interquartile range were used. Absolute (Ν) and relative (%) frequencies were used to describe qualitative variables. The non-parametric Mann–Whitney U test was applied for the comparison of the quantitative variables (which were non-normally distributed) between two groups. For the comparison among more than two groups, the non-parametric Kruskal–Wallis criterion was used. The duration of breastfeeding was assessed using the Kaplan–Meier survival estimator, with the cessation of exclusive and any breastfeeding being considered as the final events for the analysis. Infants who were breastfed at the end of the study period were labeled as censored. The duration of breastfeeding was defined as the number of months until the cessation of breastfeeding or from birth until the final date of follow-up. A Cox proportional hazards regression analysis was applied for the investigation of the simultaneous effect of several risk factors on the duration of breastfeeding. Covariate effects were considered using hazard ratios (HRs) and their 95% confidence intervals. A significance level of 0.05 was set (two-tailed significance levels). The SPSS 22.0 statistical program (IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY, USA: IBM Corp.) was used for the statistical analyses. Before comparing the independent groups, data distribution was examined for the determination of the most appropriate analysis. Initially, data were visually assessed by comparing their histograms with the normal probability curve; then, the Kolmogorov–Smirnov test for normality was performed. Both assessments demonstrated that the data were not normally distributed. For the descriptive statistics of quantitative variables, median values and interquartile range were used. Absolute (Ν) and relative (%) frequencies were used to describe qualitative variables. The non-parametric Mann–Whitney U test was applied for the comparison of the quantitative variables (which were non-normally distributed) between two groups. For the comparison among more than two groups, the non-parametric Kruskal–Wallis criterion was used. The duration of breastfeeding was assessed using the Kaplan–Meier survival estimator, with the cessation of exclusive and any breastfeeding being considered as the final events for the analysis. Infants who were breastfed at the end of the study period were labeled as censored. The duration of breastfeeding was defined as the number of months until the cessation of breastfeeding or from birth until the final date of follow-up. A Cox proportional hazards regression analysis was applied for the investigation of the simultaneous effect of several risk factors on the duration of breastfeeding. Covariate effects were considered using hazard ratios (HRs) and their 95% confidence intervals. A significance level of 0.05 was set (two-tailed significance levels). The SPSS 22.0 statistical program (IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY, USA: IBM Corp.) was used for the statistical analyses. 2.1. Definitions: Exclusive Breastfeeding (EBF): The Infant Only Receives Maternal Milk and No Other Liquids, with the Exception of Vitamins, Rehydration Solutions, Minerals, and Medicines The vast majority of neonates hospitalized in NICUs receive parenteral nutrition during the first days of life. In this study, the breastfeeding status was assessed following the achievement of full enteral feeding. Maternal milk during NICU stay was fortified in very-low-birthweight neonates; however, these neonates were included in the exclusively breastfed group if they had not received any formula milk. Any Breastfeeding (BF): Breastfeeding, Either Exclusive or Partial Breastfeeding, Supplemented with Formula Milk or Other Foods. 2.2. Breastfeeding Support and Promotion in NICU: The NICU of General Hospital “Agios Panteleimon” is a perinatal center of the 2nd Health District, which includes West Attica areas and the Aegean Sea islands. A high percentage of the neonates admitted to our NICU are transferred from remote areas, with a significant impact on breastfeeding availability and establishment in this population. Maternal milk is valuable for the care/treatment provided in an NICU; therefore, the establishment of breastfeeding in hospitalized neonates is a primary target of our NICU. With all neonatal admissions, as soon as possible following birth, parents are informed by appropriately educated personnel on the advantages of breastfeeding, on ways to maintain lactation, and on the storage and transfer conditions of maternal milk. Relevant information materials with detailed instructions are handed out to the parents upon the admission of their neonate. When the maternal–neonatal state allows it, skin-to-skin contact is recommended and encouraged (twice daily for at least thirty minutes). All mothers are educated and supported to breastfeed throughout the day, provided this is permitted by the neonatal state, safely and successfully, under the supervision of experienced personnel. 2.3. Inclusion Criteria: All neonates born during the time period from January 2017 until December 2019 who were admitted to our NICU were included in this study. 2.4. Exclusion Criteria : Neonates of families residing in refugee camps were excluded from the study due to difficulties in communication (in the Greek or English language) with the mother/father and problems with the completion of the questionnaire. Neonates with congenital anomalies directly affecting enteral feeding, neonates for whom breastfeeding was absolutely contraindicated, and all the neonates who died in the NICU were excluded from the study. 2.5. Measurement: A structured questionnaire was created in order to retrieve data with regards to the nutrition of the child from birth to the interview, as well as maternal breastfeeding experience previous to this child. The percentage of breastfed infants, the percentage of exclusively breastfed infants, and the percentage of infants who were still breastfed at three, six, nine, twelve, and >eighteen months of age were documented. Furthermore, data regarding demographic characteristics of the mothers, previous breastfeeding experience, the timing of solid foods introduction, and breastfeeding experience during the NICU stay of the neonate were recorded (questionnaire data are presented in detail in the Supplementary Materials). Information on the prenatal period, gestation length, delivery mode, the duration of hospital stay, and the feeding of the neonates during their hospital stay was retrieved from medical records. 2.6. Questionnaire Design: The questionnaire was designed to allow us to estimate the basic breastfeeding frequency indexes suggested by the WHO [2]. The questionnaire was pilot-tested in 21 mothers to determine the time needed for completion, the degree of participant comprehension, and the sequence of questions. Subsequently, the questionnaire was revised based on pilot testing. 2.7. Interview: Contact details were retrieved through the medical files from the admission of neonates to the NICU. The study primarily included data from interviews with mothers. In case the mother did not speak Greek, the father could answer the interview questions in the presence of the mother. A telephone interview was conducted when the study infants were older than twelve months (March 2021–May 2021). The interview duration was approximately six to ten minutes. The study was conducted according to the guidelines of the Declaration of Helsinki and was approved by the Institutional Review Board of Nikeaia General Hospital “Agios Panteleimon” (3/11, 22 January 2020). The interview was conducted following the verbal consent of the parent. Recruitment data are presented in a flow diagram (Figure 1). 2.8. Statistical Analysis: Before comparing the independent groups, data distribution was examined for the determination of the most appropriate analysis. Initially, data were visually assessed by comparing their histograms with the normal probability curve; then, the Kolmogorov–Smirnov test for normality was performed. Both assessments demonstrated that the data were not normally distributed. For the descriptive statistics of quantitative variables, median values and interquartile range were used. Absolute (Ν) and relative (%) frequencies were used to describe qualitative variables. The non-parametric Mann–Whitney U test was applied for the comparison of the quantitative variables (which were non-normally distributed) between two groups. For the comparison among more than two groups, the non-parametric Kruskal–Wallis criterion was used. The duration of breastfeeding was assessed using the Kaplan–Meier survival estimator, with the cessation of exclusive and any breastfeeding being considered as the final events for the analysis. Infants who were breastfed at the end of the study period were labeled as censored. The duration of breastfeeding was defined as the number of months until the cessation of breastfeeding or from birth until the final date of follow-up. A Cox proportional hazards regression analysis was applied for the investigation of the simultaneous effect of several risk factors on the duration of breastfeeding. Covariate effects were considered using hazard ratios (HRs) and their 95% confidence intervals. A significance level of 0.05 was set (two-tailed significance levels). The SPSS 22.0 statistical program (IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY, USA: IBM Corp.) was used for the statistical analyses. 3. Results: 3.1. Descriptive Results The response rate to the telephone interviews was 57%, resulting in 279 mother–infant pairs being included in this study. A total of 255 mothers responded, 24 of whom had given birth to twins. Of all participating neonates, 56.3% were full-term, and 66.3% had been delivered via cesarean section; in total, 31.5% were inborn, while 68.5% were outborn. The median birthweight of our sample of infants was 2.700 g (1.960–3.250 g), and the median gestational age was 37 (34–38) weeks. Of the participating neonates, 25 (9%) were very-low-birthweight neonates; a total of 43 (15.4%) had a gestational age < 32 weeks, and 79 neonates (28.3%) were late preterm. A total of 21 neonates (7.5%) presented intrauterine growth restriction (IUGR), and 137 neonates (49.1%) had respiratory distress syndrome; in total, 67 neonates (24%) suffered from perinatal hypoxia, and 12 (4.3%) neonates were admitted for surgical purposes. Forty-two (15%) of the admitted neonates presented early-onset sepsis. Most of the participating mothers were Greek (72.4%), followed by Albanians (17.9%). The median length of stay in the NICU was 12 (7–23) days. The median time (months) to the initiation of infant formula or solids was 1 (0–5) and 6 (5–6) respectively. Permanent residents of Attica accounted for 60.2% of our sample. Nearly half of the participants (42.7%) had previous breastfeeding experience, and only 4.7% had attended breastfeeding classes. Of the participating mothers, 144 (51.6%) were primigravidae, while 135 were multigravidae. Among the multigravid mothers, 119 (88.1%) had breastfeeding experience with a previous child. Detailed demographic characteristics’ data are presented in Table 1. The response rate to the telephone interviews was 57%, resulting in 279 mother–infant pairs being included in this study. A total of 255 mothers responded, 24 of whom had given birth to twins. Of all participating neonates, 56.3% were full-term, and 66.3% had been delivered via cesarean section; in total, 31.5% were inborn, while 68.5% were outborn. The median birthweight of our sample of infants was 2.700 g (1.960–3.250 g), and the median gestational age was 37 (34–38) weeks. Of the participating neonates, 25 (9%) were very-low-birthweight neonates; a total of 43 (15.4%) had a gestational age < 32 weeks, and 79 neonates (28.3%) were late preterm. A total of 21 neonates (7.5%) presented intrauterine growth restriction (IUGR), and 137 neonates (49.1%) had respiratory distress syndrome; in total, 67 neonates (24%) suffered from perinatal hypoxia, and 12 (4.3%) neonates were admitted for surgical purposes. Forty-two (15%) of the admitted neonates presented early-onset sepsis. Most of the participating mothers were Greek (72.4%), followed by Albanians (17.9%). The median length of stay in the NICU was 12 (7–23) days. The median time (months) to the initiation of infant formula or solids was 1 (0–5) and 6 (5–6) respectively. Permanent residents of Attica accounted for 60.2% of our sample. Nearly half of the participants (42.7%) had previous breastfeeding experience, and only 4.7% had attended breastfeeding classes. Of the participating mothers, 144 (51.6%) were primigravidae, while 135 were multigravidae. Among the multigravid mothers, 119 (88.1%) had breastfeeding experience with a previous child. Detailed demographic characteristics’ data are presented in Table 1. 3.2. Prevalence of Breastfeeding 3.2.1. Exclusive Breastfeeding The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. 3.2.2. Any Breastfeeding The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. A shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. The data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3. The rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups. The statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5). The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. A shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. The data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3. The rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups. The statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5). 3.2.1. Exclusive Breastfeeding The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. 3.2.2. Any Breastfeeding The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. A shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. The data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3. The rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups. The statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5). The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. A shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. The data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3. The rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups. The statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5). 3.1. Descriptive Results: The response rate to the telephone interviews was 57%, resulting in 279 mother–infant pairs being included in this study. A total of 255 mothers responded, 24 of whom had given birth to twins. Of all participating neonates, 56.3% were full-term, and 66.3% had been delivered via cesarean section; in total, 31.5% were inborn, while 68.5% were outborn. The median birthweight of our sample of infants was 2.700 g (1.960–3.250 g), and the median gestational age was 37 (34–38) weeks. Of the participating neonates, 25 (9%) were very-low-birthweight neonates; a total of 43 (15.4%) had a gestational age < 32 weeks, and 79 neonates (28.3%) were late preterm. A total of 21 neonates (7.5%) presented intrauterine growth restriction (IUGR), and 137 neonates (49.1%) had respiratory distress syndrome; in total, 67 neonates (24%) suffered from perinatal hypoxia, and 12 (4.3%) neonates were admitted for surgical purposes. Forty-two (15%) of the admitted neonates presented early-onset sepsis. Most of the participating mothers were Greek (72.4%), followed by Albanians (17.9%). The median length of stay in the NICU was 12 (7–23) days. The median time (months) to the initiation of infant formula or solids was 1 (0–5) and 6 (5–6) respectively. Permanent residents of Attica accounted for 60.2% of our sample. Nearly half of the participants (42.7%) had previous breastfeeding experience, and only 4.7% had attended breastfeeding classes. Of the participating mothers, 144 (51.6%) were primigravidae, while 135 were multigravidae. Among the multigravid mothers, 119 (88.1%) had breastfeeding experience with a previous child. Detailed demographic characteristics’ data are presented in Table 1. 3.2. Prevalence of Breastfeeding: 3.2.1. Exclusive Breastfeeding The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. 3.2.2. Any Breastfeeding The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. A shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. The data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3. The rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups. The statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5). The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. A shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. The data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3. The rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups. The statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5). 3.2.1. Exclusive Breastfeeding: The prevalence of exclusively breastfed infants was 58.1% for the first month of life and reduced to 36.9% by the end of the third month. By the end of the sixth month, only 19.4% of the infants were exclusively breastfed, with a gradual drop during the next months to reach 2.2% by the end of the eight month. 3.2.2. Any Breastfeeding : The breastfeeding rate during the first month of life was quite high, reaching 78.1% and remaining at 47.7% until the completed third month of life. During the next months, a gradual decrease in breastfeeding prevalence was observed, reaching 32.6% by the end of the sixth month. The percentages of breastfed infants at the ages of nine, twelve, and eighteen months were 17.9%, 14.7%, and 7.5%, respectively. A shorter duration of exclusive breastfeeding was observed for preterm neonates compared with full-term neonates, and this difference was statistically significant (p-value < 0.05). The clinical characteristics of the study neonates are presented in Table 2. The data from the Kaplan–Meier survival analysis of breastfed preterm and full-term neonates are presented in Table 3. The rates of exclusive breastfeeding and any breastfeeding at selected ages are provided in detail in Figure 2 and Figure 3 for preterm and full-term groups. The statistical analyses (Table 1) indicated that neonates of Greek-origin mothers had significantly shorter breastfeeding duration than neonates of mothers of other nationalities. Neonates who had received maternal milk during their NICU stay or had been breastfed in the NICU and those whose mothers had previous breastfeeding experience or had attended breastfeeding classes had been breastfed for significantly longer than the remaining neonates. The delivery mode (cesarean section) and transportation of the neonate affected the duration of breastfeeding, as a shorter duration of exclusive and any breastfeeding was observed in these neonates, but not at a statistically significant degree (p > 0.05). A multivariable analysis was conducted to investigate the impact of various factors on the duration of exclusive and any breastfeeding. The duration (in months) of exclusive breastfeeding and the duration of any breastfeeding were the dependent variables, while gestational age, delivery mode, nationality (categorized as Greek and other), inborn/outborn, permanent residence, prematurity, hospital stay, previous breastfeeding experience, feeding with maternal milk during hospital stay, breastfeeding experience in the NICU, and maternal attendance of breastfeeding classes were the independent variables. The multivariable analysis indicated prematurity as an independent prognostic factor for the duration of exclusive and any breastfeeding, with preterm neonates presenting a higher hazard ratio of earlier breastfeeding cessation than full-term neonates (aHR 1.64, 95% CI:1.026–2.62; and 1.69, 95% CI:1.054–2.72, respectively; p < 0.05). Furthermore, NICU breastfeeding experience, maternal-milk administration during hospital stay, and previous breastfeeding experience were positively and strongly correlated with breastfeeding duration, as a lower hazard ratio of breastfeeding discontinuation was noted (p < 0.05). The attendance of breastfeeding classes by the mother was an independent prognostic factor strongly associated with the duration of breastfeeding (aHR 0.41, 95% CI: 0.218–0.77; p = 0.006) but did not seem to affect the duration of exclusive breastfeeding (aHR 0.76, 95% CI: 0.424–1.375; p = 0.37). The multivariable analysis did not reveal any statistically significant effect on the duration of exclusive or any breastfeeding for the remaining factors under investigation (Table 4 and Table 5). 4. Discussion: Breastfeeding practices in Greece have not been thoroughly investigated. This study assesses breastfeeding status in a Greek NICU, contributing to the recognition of factors that affect the prevalence, establishment, and maintenance of breastfeeding in neonates admitted to the NICU. The percentage of exclusive breastfeeding at the first and sixth months of age in our study was lower than that recommended by the WHO [2] and CDC [30]. This was consistent with findings of previous studies [22,31,32]. The exclusive-breastfeeding rates in our study infants were similar to the respective rates of the general Greek population [31,32]. Maternal nationality, breastfeeding during NICU stay, maternal-milk administration during NICU stay, and maternal experience of breastfeeding older children were significantly positively correlated with the duration of breastfeeding. Prematurity, on the other hand, was inversely correlated with breastfeeding duration, which is consistent with data from other countries [5,33]. In our cohort, the prevalence of exclusively breastfed infants during the first month of life was 58.1%. Dritsakou et al. [34] recruited 161 healthy pregnant women who attended prenatal breastfeeding classes and assessed the effect of maternal diet, personal traits, and the intention to breastfeed on the breastfeeding duration of neonates admitted to a Greek NICU. The authors reported that 81% of the study neonates were exclusively breastfed at discharge. There is published evidence that preterm neonates tend to breastfeed less and for a shorter period of time than full-term neonates [35,36], and our findings are also in accordance with this. Consistently with previous studies [33,37], prematurity emerged as an adverse factor for exclusive and any breastfeeding in our study neonates. Preterm neonates are generally transferred to the NICU immediately after birth and are separated from their mothers, which results in the late initiation of breastfeeding [38]. The lower the gestational age is, the longer the neonate’s hospital stay is. Most preterm neonates below 34 weeks need to be fed via nasogastric tube due to sucking–swallowing incoordination. Neonates with respiratory distress, face anomalies, and central neural system disorders also require tube feeding, and the pumping of breast milk is necessary in these cases. The advantages of feeding preterm neonates with maternal milk, and especially colostrum, are paramount. However, and despite the significant efforts by the mothers and healthcare providers in NICUs, only around 30% of mothers giving birth to extremely low birthweight neonates manage to exclusively support the newborn with their milk during the first days of life [39,40]. The inability to ensure the required amount of milk to exclusively support the neonate is a primary aggravating factor for the psychology of the mother and may lead to the cessation of breastfeeding [41]. Medical personnel should focus on preterm and ill neonates, educating mothers to monitor daily lactation by completing a lactation diary, and intervene if needed for the optimization and promotion of breastfeeding in these neonates. The transfer of maternal milk by mothers and their families in order to feed the neonates during their NICU stay was associated with higher prevalence and duration of exclusive breastfeeding. Formula-feeding preterm neonates in the NICU was shown to affect the duration of exclusive breastfeeding following discharge [33]. In a national study in Denmark, it was observed that when mothers were allowed to visit and feed their preterm neonates in the NICU with a feeding cup or spoon, the hospital stay of these neonates was decreased. Moreover, mothers of neonates who had breastfed during their hospital stay continued breastfeeding for longer after discharge [42,43]. According to our findings, maternal-milk administration during hospital stay and breastfeeding experience in the NICU were prognostic independent variables for the duration of exclusive and any breastfeeding. Studies in multicultural societies demonstrated that refugees of any national group tended to maintain breastfeeding for longer than native mothers, even after the adjustment for socio-economic and demographic factors [44,45]. In our study population, the mother’s nationality was found to be an independent confounding factor for the duration of breastfeeding, with Greek mothers ceasing breastfeeding earlier than mothers of any other nationality. Previous breastfeeding experience was positively correlated with the duration of breastfeeding. In a large study in the Netherlands [46], a similar correlation was noted, although shortly after birth, firstborn children were more likely to be breastfed. This finding may be attributed to the fact that the reasons that led to the breastfeeding of the older child still existed for the younger newborn. In addition, the mother is more confident, has already practiced breastfeeding, and may be more knowledgeable regarding its advantages. It is well established that breastfeeding classes/seminars bear multiple benefits for both the mother and the neonate, as they offer, before labor, important information on the process and advantages of breastfeeding, leading to its successful initiation and establishment [47,48]. Despite the low rate in our sample, the attendance of breastfeeding classes seemed to have a positive effect on the duration of breastfeeding. Multiple studies have investigated risk factors for breastfeeding practices. A Lancet series in 2016 reported a wide range of historical, socioeconomical, cultural, and personal prognostic factors for breastfeeding practices [49]. There is evidence that cesarean section has a negative impact on the initiation and duration of breastfeeding, especially if it has been performed under general or spinal anesthesia [50,51]. This finding was attributed to the lower maternal prolactin levels, the post-operative pain and, particularly, to the delayed contact of the mother with the neonate. The labor mode was not associated with the duration of breastfeeding in our study. That could have been due to the fact that both preterm and full-term neonates who had been admitted to the NICU had failed to achieve the early skin-to-skin contact with their mothers and that the initiation of breastfeeding was delayed compared with healthy neonates. Recent studies focused on the association of inhibiting neighborhood factors on the duration of breastfeeding. It was reported that the dependence on public transportation and long distance commuting to the NICU negatively affected the frequency of maternal visits and the pumping and transport of maternal milk [52,53]. A large proportion of our NICU hospitalized neonates are transferred from distant areas of the country; however, neonatal transfer and permanent residence did not seem to impact the establishment of breastfeeding in our study. This could be explained by the practices of supporting and promoting neonatal feeding with maternal milk that are applied in our NICU. Maternal milk is the ideal nutrition for neonates and infants, protecting against infections and facilitating long-term health. Furthermore, it is a crucial element of public health, especially for preterm neonates (gestational age < 37 weeks) [54]. Breastfeeding bears immunological, nutritional, and neurodevelopmental benefits for preterm neonates. It is protective against necrotizing enterocolitis, bronchopulmonary dysplasia, and late sepsis [55,56,57,58]. Maternal-milk effects are dose-dependent. The quantity of maternal milk consumed by a neonate is inversely correlated with risk of death and necrotizing enterocolitis during the first 2 weeks of life [10]. Studies showed that high HM doses during the first 14–28 days of life are associated with a lower risk of various adverse outcomes in the NICU [7,10,11,12]. A research line indicated that it is the presence of bovine products (and not just the absence of feeding with HM) that negatively impacts intestinal permeability and colonization, rendering the association between HM and neonatal morbidity more complicated [6,16,59,60]. However, accumulating evidence suggests that bioactive HM components provide specific protection against morbidity through various mechanisms during different hospitalization periods in the NICU. Moreover, breastfeeding plays an important role on cognitive development, leading to a productive adulthood. Maternal milk includes long-chain polyunsaturated fatty acids, which promote brain growth. Research demonstrated that early visual acuity and cognitive functions are better developed in breastfed children [59,61,62]. Breastfeeding also appears to have a positive impact on infants’ emotional well-being. It helps establish mother–infant bonding, due to skin-to-skin contact, which allows the infant to smell, touch, and feel their mother. Breastfeeding is pivotal for both the mother and the infant, as their developing bond is critical for the individual and reflects on the whole family. It has been shown that breastfed infants have closer and more intimate relationships with other family members. All in all, breastfeeding contributes to the smooth emotional and social development of the infant [28,60]. NICU admission of the neonate results in physical and psychologic separation from the mother, a key factor responsible for the failure of breastfeeding [63]. Rooming-in is extremely fortifying for breastfeeding because it contributes to the development of a communication code, providing peace, protection, and safety to the neonate. Breastfeeding plays an important role in the prognosis of preterm and ill neonates. In addition to the optimal nutrition that covers their substantial needs for growth and development, breastfeeding is also therapeutic for preterm neonates [64]. Data on the benefits of HM use in NICUs are intriguing, yet the incorporation of this evidence in practices, policies, procedures, and parental educational materials is limited. HM feeding is still under-prioritized over other therapeutic interventions implemented in the NICUs. Scarce information and lactation induction practices for the optimization of breastfeeding are available to healthcare professionals in NICUs and to the families of the neonates [5]. This study had a few limitations. The study design did not contain extensive data on the feeding status of the infant and/or the timing of breastfeeding initiation during their NICU stay. In addition, other important factors possibly affecting the duration of breastfeeding following the discharge of the neonate, including maternal age, educational level, and socio-economic status, were not recorded. Feedback on the duration of breastfeeding was provided by parents, making information bias possible; for example, mothers could have responded based on social expectations rather than their actual experience. The questionnaire was not validated in an extended Greek breastfeeding population. Sample size was only 279 mother–infant pairs. The breastfeeding practices of participants in this study may not be representative of regional or national practices. Probable systematic bias deriving from these limitations should be taken into account. Further large-scale, well-designed studies are necessary before the generalization of these study results. 5. Conclusions: Although breastfeeding support is a top priority in our NICU, the breastfeeding rates at six months for previously hospitalized infants were quite low compared with the standards set by the WHO. NICUs should promote breastfeeding, providing mothers/families with psychological support and comprehensive guidance on breastfeeding practices. The NICU environment is appropriate for educational interventions, as mothers are in close contact with healthcare professionals and have frequent access to lactation consultants and other breastfeeding resources. To better leverage this opportunity for the promotion of breastfeeding, healthcare professionals should identify mothers at a high risk of early breastfeeding cessation. Subsequently, educational and supportive interventions would need to be adjusted to overcome the obstacles impeding this subpopulation from breastfeeding. Evidence-based quality indicators are required for the comparative assessment of HM administration. The establishment of procedures that protect breastfeeding and the incorporation of lactation technologies that facilitate milk transportation are essential. An NICU is more than a treatment center for neonates; it is a living environment for newborns and their parents, with a focus on family-centered care.
Background: The admission of neonates to Neonatal Intensive Care Units (NICUs) has been identified as a primary inhibiting factor in the establishment of breastfeeding. The aims of this study were to (1) estimate the prevalence and duration of breastfeeding in infants/toddlers who had been admitted to an NICU in Greece and (2) to investigate factors, associated with the NICU stay, which affected the establishment and maintenance of breastfeeding in infants/toddlers previously admitted to the NICU. Methods: Data for this cohort study were retrieved from interviews with mothers of infants/toddlers who had been admitted to our NICU as neonates during the period of 2017-2019. Interviews were conducted based on a questionnaire regarding the child's nutrition from birth to the day of the interview, including previous maternal experience with breastfeeding. Information related to the prenatal period, gestation age, delivery mode, duration of NICU stay, and neonatal feeding strategies during their hospital stay were recorded. Results: The response rate to the telephone interviews was 57%, resulting in 279 mother-infant pairs being included in this study. The results showed that 78.1% of children received maternal milk during their first days of life. Of all infants, 58.1% were exclusively breastfed during their first month, with a gradual decrease to 36.9% and 19.4% by the end of the third and sixth months of life, respectively. The prevalence of breastfed children reached 14.7% and 7.5% at the ages of twelve and eighteen months, respectively. In the multivariate analysis, prematurity emerged as an independent prognostic factor for the duration of exclusive and any breastfeeding (aHR 1.64, 95% CI: 1.03-2.62; and 1.69, 95% CI: 1.05-2.72, respectively; p &lt; 0.05). Additionally, the nationality of the mother, NICU breastfeeding experience, the administration of maternal milk during neonatal hospital stay, and previous breastfeeding experience of the mother were independent prognostic factors for the duration of breastfeeding. Conclusions: Although breastfeeding is a top priority in our NICU, the exclusive-breastfeeding rates at 6 months were quite low for the hospitalized neonates, not reaching World Health Organization (WHO) recommendations. Mothers/families of hospitalized neonates should receive integrated psychological and practical breastfeeding support and guidance.
1. Introduction: For optimal health outcomes, the World Health Organization recommends exclusive breastfeeding for the first 6 months of life, followed by the appropriate introduction of complementary foods with continued breastfeeding to two years and beyond [1,2,3]. Multiple recent publications report the short-term and long-term advantages of maternal milk for preterm neonates. Maternal milk contains the optimal immunologic, anti-oxidative, and growth factors for various neonatal systems [4]. Feeding with human milk (HM) from the neonate’s own mother reduces the risk for short-term and long-term morbidity and, subsequently, the cost of care of ill preterm and full-term neonates [5]. Regarding preterm neonates, higher HM doses are correlated with a lower risk of enteral feeding intolerance, late sepsis, chronic pulmonary disease, retinopathy of prematurity, neurocognitive impairment, and less hospital re-admissions by the ages of 18–30 months [6,7,8,9,10,11,12,13,14,15,16]. Almost 10–12% of neonates born in the United States are preterm, and admission to NICUs is necessary for many of them [17]. Approximately 10% of full-term neonates require more-advanced-than-usual medical care, and a large proportion of them is also admitted to NICUs. Hospitalized neonates represent a population with a higher risk of adverse short-term and long-term outcomes than healthy full-term neonates [18,19,20]. Admission to NICU has been suggested as a primary inhibiting factor in establishing breastfeeding, with neonates admitted to NICUs presenting lower rates of breastfeeding than healthy neonates [21,22,23,24,25]. Probable causes of this phenomenon include the separation of the mother and the neonate; the stress and anxiety of the mother, which may result in depressive disorder; and the clinical status of the mother and/or the neonate [26,27,28,29]. Until now, in Greece, the direct impact of postnatal mother–neonate separation in establishing and maintaining breastfeeding in neonates admitted to NICUs is largely unknown and needs to be further investigated. The aims of this study were to (1) assess the prevalence and duration of breastfeeding in infants/toddlers who had been admitted to a Greek NICU and (2) to assess the probable effect of certain factors associated with the NICU stay on the rate, establishment, and duration of breastfeeding in infants/toddlers previously admitted to the NICU. 5. Conclusions: Although breastfeeding support is a top priority in our NICU, the breastfeeding rates at six months for previously hospitalized infants were quite low compared with the standards set by the WHO. NICUs should promote breastfeeding, providing mothers/families with psychological support and comprehensive guidance on breastfeeding practices. The NICU environment is appropriate for educational interventions, as mothers are in close contact with healthcare professionals and have frequent access to lactation consultants and other breastfeeding resources. To better leverage this opportunity for the promotion of breastfeeding, healthcare professionals should identify mothers at a high risk of early breastfeeding cessation. Subsequently, educational and supportive interventions would need to be adjusted to overcome the obstacles impeding this subpopulation from breastfeeding. Evidence-based quality indicators are required for the comparative assessment of HM administration. The establishment of procedures that protect breastfeeding and the incorporation of lactation technologies that facilitate milk transportation are essential. An NICU is more than a treatment center for neonates; it is a living environment for newborns and their parents, with a focus on family-centered care.
Background: The admission of neonates to Neonatal Intensive Care Units (NICUs) has been identified as a primary inhibiting factor in the establishment of breastfeeding. The aims of this study were to (1) estimate the prevalence and duration of breastfeeding in infants/toddlers who had been admitted to an NICU in Greece and (2) to investigate factors, associated with the NICU stay, which affected the establishment and maintenance of breastfeeding in infants/toddlers previously admitted to the NICU. Methods: Data for this cohort study were retrieved from interviews with mothers of infants/toddlers who had been admitted to our NICU as neonates during the period of 2017-2019. Interviews were conducted based on a questionnaire regarding the child's nutrition from birth to the day of the interview, including previous maternal experience with breastfeeding. Information related to the prenatal period, gestation age, delivery mode, duration of NICU stay, and neonatal feeding strategies during their hospital stay were recorded. Results: The response rate to the telephone interviews was 57%, resulting in 279 mother-infant pairs being included in this study. The results showed that 78.1% of children received maternal milk during their first days of life. Of all infants, 58.1% were exclusively breastfed during their first month, with a gradual decrease to 36.9% and 19.4% by the end of the third and sixth months of life, respectively. The prevalence of breastfed children reached 14.7% and 7.5% at the ages of twelve and eighteen months, respectively. In the multivariate analysis, prematurity emerged as an independent prognostic factor for the duration of exclusive and any breastfeeding (aHR 1.64, 95% CI: 1.03-2.62; and 1.69, 95% CI: 1.05-2.72, respectively; p &lt; 0.05). Additionally, the nationality of the mother, NICU breastfeeding experience, the administration of maternal milk during neonatal hospital stay, and previous breastfeeding experience of the mother were independent prognostic factors for the duration of breastfeeding. Conclusions: Although breastfeeding is a top priority in our NICU, the exclusive-breastfeeding rates at 6 months were quite low for the hospitalized neonates, not reaching World Health Organization (WHO) recommendations. Mothers/families of hospitalized neonates should receive integrated psychological and practical breastfeeding support and guidance.
11,824
438
[ 2287, 122, 212, 25, 72, 155, 63, 145, 305, 365, 1324, 66, 590 ]
17
[ "breastfeeding", "neonates", "duration", "nicu", "exclusive", "exclusive breastfeeding", "maternal", "breastfed", "mothers", "milk" ]
[ "prenatal breastfeeding", "maintaining breastfeeding neonates", "maternal milk preterm", "breastfeeding healthy neonates", "neonates maternal milk" ]
null
[CONTENT] breastfeeding | neonates | preterm neonates | breastfeeding support | lactation | hospitalized neonates [SUMMARY]
null
[CONTENT] breastfeeding | neonates | preterm neonates | breastfeeding support | lactation | hospitalized neonates [SUMMARY]
[CONTENT] breastfeeding | neonates | preterm neonates | breastfeeding support | lactation | hospitalized neonates [SUMMARY]
[CONTENT] breastfeeding | neonates | preterm neonates | breastfeeding support | lactation | hospitalized neonates [SUMMARY]
[CONTENT] breastfeeding | neonates | preterm neonates | breastfeeding support | lactation | hospitalized neonates [SUMMARY]
[CONTENT] Breast Feeding | Cohort Studies | Female | Follow-Up Studies | Humans | Infant | Infant, Low Birth Weight | Infant, Newborn | Intensive Care Units, Neonatal | Pregnancy [SUMMARY]
null
[CONTENT] Breast Feeding | Cohort Studies | Female | Follow-Up Studies | Humans | Infant | Infant, Low Birth Weight | Infant, Newborn | Intensive Care Units, Neonatal | Pregnancy [SUMMARY]
[CONTENT] Breast Feeding | Cohort Studies | Female | Follow-Up Studies | Humans | Infant | Infant, Low Birth Weight | Infant, Newborn | Intensive Care Units, Neonatal | Pregnancy [SUMMARY]
[CONTENT] Breast Feeding | Cohort Studies | Female | Follow-Up Studies | Humans | Infant | Infant, Low Birth Weight | Infant, Newborn | Intensive Care Units, Neonatal | Pregnancy [SUMMARY]
[CONTENT] Breast Feeding | Cohort Studies | Female | Follow-Up Studies | Humans | Infant | Infant, Low Birth Weight | Infant, Newborn | Intensive Care Units, Neonatal | Pregnancy [SUMMARY]
[CONTENT] prenatal breastfeeding | maintaining breastfeeding neonates | maternal milk preterm | breastfeeding healthy neonates | neonates maternal milk [SUMMARY]
null
[CONTENT] prenatal breastfeeding | maintaining breastfeeding neonates | maternal milk preterm | breastfeeding healthy neonates | neonates maternal milk [SUMMARY]
[CONTENT] prenatal breastfeeding | maintaining breastfeeding neonates | maternal milk preterm | breastfeeding healthy neonates | neonates maternal milk [SUMMARY]
[CONTENT] prenatal breastfeeding | maintaining breastfeeding neonates | maternal milk preterm | breastfeeding healthy neonates | neonates maternal milk [SUMMARY]
[CONTENT] prenatal breastfeeding | maintaining breastfeeding neonates | maternal milk preterm | breastfeeding healthy neonates | neonates maternal milk [SUMMARY]
[CONTENT] breastfeeding | neonates | duration | nicu | exclusive | exclusive breastfeeding | maternal | breastfed | mothers | milk [SUMMARY]
null
[CONTENT] breastfeeding | neonates | duration | nicu | exclusive | exclusive breastfeeding | maternal | breastfed | mothers | milk [SUMMARY]
[CONTENT] breastfeeding | neonates | duration | nicu | exclusive | exclusive breastfeeding | maternal | breastfed | mothers | milk [SUMMARY]
[CONTENT] breastfeeding | neonates | duration | nicu | exclusive | exclusive breastfeeding | maternal | breastfed | mothers | milk [SUMMARY]
[CONTENT] breastfeeding | neonates | duration | nicu | exclusive | exclusive breastfeeding | maternal | breastfed | mothers | milk [SUMMARY]
[CONTENT] term | neonates | term long | short | term long term | admitted nicus | short term | short term long term | short term long | admitted [SUMMARY]
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[CONTENT] breastfeeding | duration | neonates | month | exclusive breastfeeding | exclusive | duration exclusive | duration exclusive breastfeeding | table | breastfeeding experience [SUMMARY]
[CONTENT] breastfeeding | environment | healthcare professionals | educational | healthcare | professionals | interventions | support | lactation | mothers [SUMMARY]
[CONTENT] breastfeeding | neonates | duration | nicu | month | breastfed | exclusive | maternal | milk | exclusive breastfeeding [SUMMARY]
[CONTENT] breastfeeding | neonates | duration | nicu | month | breastfed | exclusive | maternal | milk | exclusive breastfeeding [SUMMARY]
[CONTENT] Neonatal Intensive Care Units ||| 1 | Greece | 2 | NICU | NICU [SUMMARY]
null
[CONTENT] 57% | 279 ||| 78.1% | their first days ||| 58.1% | their first month | 36.9% | 19.4% | the end of the third and sixth months ||| 14.7% | 7.5% | the ages of twelve and eighteen months ||| 1.64 | 95% | CI | 1.03-2.62 | 1.69 | 95% | CI | 1.05-2.72 | p &lt | 0.05 ||| NICU [SUMMARY]
[CONTENT] NICU | 6 months | World Health Organization ||| [SUMMARY]
[CONTENT] Neonatal Intensive Care Units ||| 1 | Greece | 2 | NICU | NICU ||| NICU | the period of | 2017-2019 ||| Interviews | the day ||| NICU ||| ||| 57% | 279 ||| 78.1% | their first days ||| 58.1% | their first month | 36.9% | 19.4% | the end of the third and sixth months ||| 14.7% | 7.5% | the ages of twelve and eighteen months ||| 1.64 | 95% | CI | 1.03-2.62 | 1.69 | 95% | CI | 1.05-2.72 | p &lt | 0.05 ||| NICU ||| NICU | 6 months | World Health Organization ||| [SUMMARY]
[CONTENT] Neonatal Intensive Care Units ||| 1 | Greece | 2 | NICU | NICU ||| NICU | the period of | 2017-2019 ||| Interviews | the day ||| NICU ||| ||| 57% | 279 ||| 78.1% | their first days ||| 58.1% | their first month | 36.9% | 19.4% | the end of the third and sixth months ||| 14.7% | 7.5% | the ages of twelve and eighteen months ||| 1.64 | 95% | CI | 1.03-2.62 | 1.69 | 95% | CI | 1.05-2.72 | p &lt | 0.05 ||| NICU ||| NICU | 6 months | World Health Organization ||| [SUMMARY]
Evidence of a disability paradox in patient-reported outcomes in haemophilia.
33595148
People with inherited and long-term conditions such as haemophilia have been shown to adapt to their levels of disability, often reporting better quality of life (QoL) than expected from the general population (the disability paradox).
INTRODUCTION
We conducted a discrete choice experiment including duration to capture valuations of health states based on patient-reported preferences. Participants indicated their preferences for hypothetical health states using the EQ-5D-5L, where each participant completed 15 of the 120 choice tasks. Response inconsistencies were evaluated with dominated and repeated scenarios. Conditional-logit regressions with random sampling of the general population responses were used to match the sample of patients with haemophilia. We compared model estimates and derived preferences associated with EQ-5D-5L health states.
METHODS
After removing respondents with response inconsistencies, 1327/2138 (62%) participants remained (177/283 haemophilia; 1150/1900 general population). Patients with haemophilia indicated higher preference value for 99% of EQ-5D-5L health states compared to the general population (when matched on age and gender). The mean health state valuation difference of 0.17 indicated a meaningful difference compared to a minimal clinically important difference threshold of 0.07. Results were consistent by haemophilia type and severity.
RESULTS
Our findings indicated the presence of a disability paradox among patients with haemophilia, who reported higher health states than the general population, suggesting the impact of haemophilia may be underestimated if general population value sets are used.
CONCLUSION
[ "Health Status", "Hemophilia A", "Humans", "Patient Reported Outcome Measures", "Quality of Life", "Surveys and Questionnaires" ]
8048516
BACKGROUND
Haemophilia is a lifelong genetic disorder associated with significant clinical burden driven by haemarthrosis, joint damage and pain, with subsequent negative impact on patients’ mental health, daily functioning and overall quality of life (QoL). 1 , 2 The substantial reductions in morbidity and mortality afforded by modern therapeutic advances have elevated the aims of haemophilia treatment to realize a functional cure and to bring health equity to patients with this persistent, lifelong condition. 3 As such, the landmark improvements in clinical effectiveness have increased the importance of patient‐centric outcomes related to well‐being, functionality, and QoL. 4 , 5 , 6 , 7 Measuring the patient‐reported impact of conditions with lasting disabilities, such as haemophilia, may include a counterintuitive phenomenon known as the ‘disability paradox’, where patients report good or excellent QoL while observers characterize the patients’ daily struggles much less favourably. 8 This disease state adaptation is believed to derive from a re‐prioritization of values, a recalibration of essential needs and/or a re‐conceptualization of central beliefs as patients adapt to the effects of their condition. 8 , 9 Importantly, this can cause an underestimation of disease burden and an under‐valuation of treatment effects in patient‐reported outcomes research. The QoL of an individual can be derived from preference‐based measures of health such as the EuroQoL 5‐Dimensions (EQ‐5D). 10 The EQ‐5D includes five domains: mobility, self‐care, usual activities, pain/discomfort and anxiety/depression. Once the questionnaire is completed, a health state valuation (HSVs) can be generated using a scoring algorithm designed to be a cardinal index of utility anchored on full health (1) and death (0). Values generated provide a ‘utility value set’ for each state described by the classification system. 11 Discrete choice experiments (DCE) are widely used to estimate HSVs. DCEs are an ordinal choice‐based method, which assume that people generally choose the option that provides them with the highest level of utility. 12 In DCEs, respondents are typically asked to choose between choice tasks consisting of health scenarios. Each scenario consists of attributes and severity levels for each attribute, and as such, DCE methods may be applied to generate utility value sets. DCEs incorporating an attribute for duration (time trade‐off; DCETTO) can be used to compare value sets by different respondent groups. It has been suggested that patients with haemophilia rate their health states higher than the general population in some scenarios, but this has not been thoroughly explored or quantified. 13 , 14 We conducted a DCETTO using the EQ‐5D‐5L to investigate the potential of a disability paradox among patients with haemophilia. Using discrete choice methods allowed us to assess self‐reported preferences for incremental health state scenarios that can be compared between patients and otherwise healthy peers to characterize differences attributable to disease. 12 We also quantified differences in reported health state valuations between patients with haemophilia and a representative sample of the US general population. Our aim was to identify and characterize the need for adjustments in the evaluation of patient‐reported burden of haemophilia and effects of treatment on functionality and QoL.
Methods
Study design In this study, a DCETTO was designed to present individuals with hypothetical health states (known as ‘choice sets’) and ask them to choose among a number of alternatives (or ‘attributes’). The choice sets presented each of the five dimensions of the preference‐based measure EQ‐5D‐5L and one duration attribute, as described in Table 1. Each dimension (mobility, self‐care, usual activities, pain/discomfort and anxiety/depression) had five ordinal levels of severity (none, slight, moderate, severe, extreme/unable). The duration attribute contained five levels (3, 5, 7, 10 and 12 years) to investigate preferences with respect to both their dimensions and potential durations. 15 Example of a hypothetical choice task used in the DCE design The sum of all possible dimension and duration levels yielded a total of more than 240 million potential choice sets; therefore, a subset of choice sets was generated by maximizing D‐efficiency using Ngene software. 16 D‐efficiency is used to achieve optimal efficiency in DCEs by maximizing the information gained from a subset of choice sets while minimizing error. 17 The design included 120 choice sets based on D‐efficient design using the modified Fedorov algorithm. 18 Each respondent completed 15 choice sets for the survey. This included 13 choice sets randomly selected for each respondent from the DCE design of 120 choice sets. Two more choice sets were included as quality check measures. A repeated choice set was presented with one of the 13 choice sets being repeated in the exercise. A dominated choice set was where one of the scenarios had unambiguously worse levels for each attribute of the EQ‐5D‐5L than the other scenario. 19 In this study, a DCETTO was designed to present individuals with hypothetical health states (known as ‘choice sets’) and ask them to choose among a number of alternatives (or ‘attributes’). The choice sets presented each of the five dimensions of the preference‐based measure EQ‐5D‐5L and one duration attribute, as described in Table 1. Each dimension (mobility, self‐care, usual activities, pain/discomfort and anxiety/depression) had five ordinal levels of severity (none, slight, moderate, severe, extreme/unable). The duration attribute contained five levels (3, 5, 7, 10 and 12 years) to investigate preferences with respect to both their dimensions and potential durations. 15 Example of a hypothetical choice task used in the DCE design The sum of all possible dimension and duration levels yielded a total of more than 240 million potential choice sets; therefore, a subset of choice sets was generated by maximizing D‐efficiency using Ngene software. 16 D‐efficiency is used to achieve optimal efficiency in DCEs by maximizing the information gained from a subset of choice sets while minimizing error. 17 The design included 120 choice sets based on D‐efficient design using the modified Fedorov algorithm. 18 Each respondent completed 15 choice sets for the survey. This included 13 choice sets randomly selected for each respondent from the DCE design of 120 choice sets. Two more choice sets were included as quality check measures. A repeated choice set was presented with one of the 13 choice sets being repeated in the exercise. A dominated choice set was where one of the scenarios had unambiguously worse levels for each attribute of the EQ‐5D‐5L than the other scenario. 19 Study population, setting & study size Between July and September 2019, adult patients with haemophilia (PwH), caregivers of PwH and a representative sample of the English‐speaking US general population (GP) in terms of age, gender and region were recruited via a market research panel. We recruited 250 PwH and 2000 general population respondents. 20 The target sample size represented a trade‐off between the desire for accurate estimates (one that reflects the average preferences for PwH) and the practical consideration that haemophilia is a rare disease. The survey was conducted via a secure online portal. We first conducted a pilot study to evaluate participant comprehension of the choice set tasks and the survey functionality. The pilot study included a 10% subset of 200 GP, 25 PwH and 25 caregivers. We also assessed the duration attribute in the DCETTO design to compare shorter (3, 5, 7, 10 and 12 years) and longer durations (10, 12, 15, 17 and 20 years) using the reliability tests of repeated and dominated scenarios. Shorter duration performed better and was selected for the research. Upon entering the portal, participants were introduced to the study and had to provide informed consent in order to continue. Baseline demographic data were then collected before the participants were presented with the DCETTO tasks. Informed consent was obtained from all participants, and the study was conducted in accordance with Declaration of Helsinki. Institutional Review Board (IRB) exemption was determined by the New England IRB. Between July and September 2019, adult patients with haemophilia (PwH), caregivers of PwH and a representative sample of the English‐speaking US general population (GP) in terms of age, gender and region were recruited via a market research panel. We recruited 250 PwH and 2000 general population respondents. 20 The target sample size represented a trade‐off between the desire for accurate estimates (one that reflects the average preferences for PwH) and the practical consideration that haemophilia is a rare disease. The survey was conducted via a secure online portal. We first conducted a pilot study to evaluate participant comprehension of the choice set tasks and the survey functionality. The pilot study included a 10% subset of 200 GP, 25 PwH and 25 caregivers. We also assessed the duration attribute in the DCETTO design to compare shorter (3, 5, 7, 10 and 12 years) and longer durations (10, 12, 15, 17 and 20 years) using the reliability tests of repeated and dominated scenarios. Shorter duration performed better and was selected for the research. Upon entering the portal, participants were introduced to the study and had to provide informed consent in order to continue. Baseline demographic data were then collected before the participants were presented with the DCETTO tasks. Informed consent was obtained from all participants, and the study was conducted in accordance with Declaration of Helsinki. Institutional Review Board (IRB) exemption was determined by the New England IRB. Analysis The primary analyses compared responses from PwH and the GP. We also collected responses from caregivers of PwH; however, many caregivers had haemophilia themselves and thus were not included in the analyses to avoid confounding. To reduce uncertainty around the heterogeneity between cohorts, only male PwH were included and the age distribution was matched between the GP and PwH. Age matching was achieved by random sampling of the GP to match the PwH proportions by age group and was repeated five times to increase the robustness of resampling for multiple subgroups. The results from the resampling were then aggregated to generate mean values from random sampling responses. Data were then modelled using conditional‐logit regressions to produce an adjusted value set for PwH and the GP. 12 The utility value sets were examined for inconsistencies and ordering was imposed for transitivity. Therefore, any preceding attributes were equal than or less than the current attribute, for example if level 2 of an attribute was greater than the utility of level 1, the two levels would be merged. This method has been commonly used to ensure the applicability of the DCE results. 21 Models for PwH and the GP were compared to test whether the models were on the same scale using a likelihood ratio statistic (LR). An LR test posed the null hypothesis that the PwH and GP models had preference homogeneity. If the LR statistic was above a critical value (calculated as the difference between the number of parameters in both models), then the null hypothesis was rejected, and the difference was considered statistically significant. From the adjusted value sets generated for PwH and GP, we estimated values for every possible EQ‐5D‐5L state. Two utilities for each population (PwH and GP) were compared for the average utility difference across health states and the frequency of the average utility were valued higher or lower. Analyses were also conducted for subgroups including by haemophilia type (A and B) and severity (severe and moderate; the sample size for patients with mild haemophilia was too small for robust analyses). All analyses were performed using Stata 16 (StataCorp). The primary analyses compared responses from PwH and the GP. We also collected responses from caregivers of PwH; however, many caregivers had haemophilia themselves and thus were not included in the analyses to avoid confounding. To reduce uncertainty around the heterogeneity between cohorts, only male PwH were included and the age distribution was matched between the GP and PwH. Age matching was achieved by random sampling of the GP to match the PwH proportions by age group and was repeated five times to increase the robustness of resampling for multiple subgroups. The results from the resampling were then aggregated to generate mean values from random sampling responses. Data were then modelled using conditional‐logit regressions to produce an adjusted value set for PwH and the GP. 12 The utility value sets were examined for inconsistencies and ordering was imposed for transitivity. Therefore, any preceding attributes were equal than or less than the current attribute, for example if level 2 of an attribute was greater than the utility of level 1, the two levels would be merged. This method has been commonly used to ensure the applicability of the DCE results. 21 Models for PwH and the GP were compared to test whether the models were on the same scale using a likelihood ratio statistic (LR). An LR test posed the null hypothesis that the PwH and GP models had preference homogeneity. If the LR statistic was above a critical value (calculated as the difference between the number of parameters in both models), then the null hypothesis was rejected, and the difference was considered statistically significant. From the adjusted value sets generated for PwH and GP, we estimated values for every possible EQ‐5D‐5L state. Two utilities for each population (PwH and GP) were compared for the average utility difference across health states and the frequency of the average utility were valued higher or lower. Analyses were also conducted for subgroups including by haemophilia type (A and B) and severity (severe and moderate; the sample size for patients with mild haemophilia was too small for robust analyses). All analyses were performed using Stata 16 (StataCorp).
RESULTS
Sample Of the 2183 participants that completed the DCE, 856 (39.2%; 106 [4.9%] PwH and 750 [34.4%] GP) respondents indicated inconsistencies based on the reliability tests and were excluded from the analyses. A total of 1327 participants remained (1150 GP and 177 PwH, including 118 PwHA and 59 PwHB). Demographic characteristics were generally similar between PwH and the GP except that more patients from the GP than PwH were ≥55 years of age (31% vs 11%; p < .001), and more PwH were men (77% vs 49%; p < .001; Table 2); therefore, sex and age matching were applied for the analyses. Characteristics for participants included in the analysis p‐Value (PwH vs GP) Abbreviations: GP, General Population; N, number; PwH, People with Haemophilia; SD, standard deviation; Y, year. Of the 2183 participants that completed the DCE, 856 (39.2%; 106 [4.9%] PwH and 750 [34.4%] GP) respondents indicated inconsistencies based on the reliability tests and were excluded from the analyses. A total of 1327 participants remained (1150 GP and 177 PwH, including 118 PwHA and 59 PwHB). Demographic characteristics were generally similar between PwH and the GP except that more patients from the GP than PwH were ≥55 years of age (31% vs 11%; p < .001), and more PwH were men (77% vs 49%; p < .001; Table 2); therefore, sex and age matching were applied for the analyses. Characteristics for participants included in the analysis p‐Value (PwH vs GP) Abbreviations: GP, General Population; N, number; PwH, People with Haemophilia; SD, standard deviation; Y, year. Comparison of PwH and the GP PwH were found to provide higher values for 98.9% of EQ‐5D‐5L states compared to the GP (Table 3). Figure 1 presents the relative utility values, which illustrates that PwH value states were consistently higher than GP value states with a utility value of 0.9 or less. The mean HSV difference between PwH and the GP was 0.17 across all possible EQ‐5D‐5L states. An approximation of the minimal clinically important difference (MCID) for the EQ‐5D‐5L based on EQ‐5D‐3L values was used as EQ‐5D‐5L US MCIDs are not available; therefore, the MCID is reported as 0.07 22 indicating that the HSV difference between PwH and the GP was clinically meaningful. LR tests also showed that the two utility scales differed significantly between responses from PwH and the GP (LR = 36.34; p < .01). Comparative EQ‐5D‐5L value sets by haemophilia type and severity. Abbreviations: EQ‐5D‐5L, EuroQol‐5‐dimensions 5‐level; GP, general population; IQR, interquartile range; N, number; PwHA, people with haemophilia A; PwHB, people with haemophilia B; PwMH, people with moderate haemophilia; PwSH, people with severe haemophilia; SD, standard deviation; Y, year. Graphical representation of observed utility of PwH compared to actual utility. Abbreviations: PwH, people with haemophilia. Note: Actual utility describes the utility that was observed by the general population. Observed utility describes the corresponding utility that was elicited from PwH. Based on utility decrements derived from the DCETTO for the EQ‐5D‐5L across 3125 states, corresponding health state utility values were derived. Using 0.05 utility intervals, based on health state utility values derived from the general population, corresponding values derived from PwH were plotted. For each 0.05 interval and utility value reported by the general population, the corresponding utility value weighted average was described EQ‐5D‐5L individual attribute mean utility values are illustrated in Figure 2. The results indicated that mobility and self‐care attributes were associated with a greater impact on QoL for PwH across all five levels of severity. Graphical representation of the EQ‐5D‐5L coefficients for PwH and GP. Abbreviations: MO, Mobility; SC, Self‐Care; UA, Usual Activities; PD, Pain and Discomfort; AD, Anxiety and Depression; PwH; people with haemophilia. Notes: By domain, the levels of responses range from no problems to severe problems (1–5) PwH were found to provide higher values for 98.9% of EQ‐5D‐5L states compared to the GP (Table 3). Figure 1 presents the relative utility values, which illustrates that PwH value states were consistently higher than GP value states with a utility value of 0.9 or less. The mean HSV difference between PwH and the GP was 0.17 across all possible EQ‐5D‐5L states. An approximation of the minimal clinically important difference (MCID) for the EQ‐5D‐5L based on EQ‐5D‐3L values was used as EQ‐5D‐5L US MCIDs are not available; therefore, the MCID is reported as 0.07 22 indicating that the HSV difference between PwH and the GP was clinically meaningful. LR tests also showed that the two utility scales differed significantly between responses from PwH and the GP (LR = 36.34; p < .01). Comparative EQ‐5D‐5L value sets by haemophilia type and severity. Abbreviations: EQ‐5D‐5L, EuroQol‐5‐dimensions 5‐level; GP, general population; IQR, interquartile range; N, number; PwHA, people with haemophilia A; PwHB, people with haemophilia B; PwMH, people with moderate haemophilia; PwSH, people with severe haemophilia; SD, standard deviation; Y, year. Graphical representation of observed utility of PwH compared to actual utility. Abbreviations: PwH, people with haemophilia. Note: Actual utility describes the utility that was observed by the general population. Observed utility describes the corresponding utility that was elicited from PwH. Based on utility decrements derived from the DCETTO for the EQ‐5D‐5L across 3125 states, corresponding health state utility values were derived. Using 0.05 utility intervals, based on health state utility values derived from the general population, corresponding values derived from PwH were plotted. For each 0.05 interval and utility value reported by the general population, the corresponding utility value weighted average was described EQ‐5D‐5L individual attribute mean utility values are illustrated in Figure 2. The results indicated that mobility and self‐care attributes were associated with a greater impact on QoL for PwH across all five levels of severity. Graphical representation of the EQ‐5D‐5L coefficients for PwH and GP. Abbreviations: MO, Mobility; SC, Self‐Care; UA, Usual Activities; PD, Pain and Discomfort; AD, Anxiety and Depression; PwH; people with haemophilia. Notes: By domain, the levels of responses range from no problems to severe problems (1–5) Subgroup analysis of haemophilia type and severity For PwHA and PwHB, utility valuations were found to be higher for 96.5% and 97.4% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S1 presents the relative utility values of PwHA and PwHB compared to GP. The mean HSV difference was 0.17 (PwHA) and 0.21 (PwHB) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwHA and the GP (LR = 33.08; p < .001) and PwHB and GP (LR = 30.44; p < .01). For people with severe haemophilia (PwSH) and people with moderate haemophilia (PwMH), utility valuations were found to be higher for 95.4% and 98.9% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S2 presents the relative utility values of PwSH and PwMH compared to the GP. The mean HSV difference was 0.14 (PwSH) and 0.17 (PwMH) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwSH and the GP (LR = 31.32; p < .01); however, this was not seen for PwMH and GP (LR = 11.77; p = .4645). For PwHA and PwHB, utility valuations were found to be higher for 96.5% and 97.4% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S1 presents the relative utility values of PwHA and PwHB compared to GP. The mean HSV difference was 0.17 (PwHA) and 0.21 (PwHB) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwHA and the GP (LR = 33.08; p < .001) and PwHB and GP (LR = 30.44; p < .01). For people with severe haemophilia (PwSH) and people with moderate haemophilia (PwMH), utility valuations were found to be higher for 95.4% and 98.9% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S2 presents the relative utility values of PwSH and PwMH compared to the GP. The mean HSV difference was 0.14 (PwSH) and 0.17 (PwMH) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwSH and the GP (LR = 31.32; p < .01); however, this was not seen for PwMH and GP (LR = 11.77; p = .4645).
CONCLUSION
Our findings indicated the presence of a disability paradox in the population preferences for haemophilia. Clinical and health technology assessments should account for health state‐derived QoL evaluations specific to people with haemophilia. The unmet needs identified in current standards of care are likely to underestimate the burden of haemophilia on patients and caregivers, and standard QoL instruments that do not account for the disability paradox may not be accurate for clinical assessments and health policy decisions.
[ "Study design", "Study population, setting & study size", "Analysis", "Sample", "Comparison of PwH and the GP", "Subgroup analysis of haemophilia type and severity", "AUTHOR CONTRIBUTIONS" ]
[ "In this study, a DCETTO was designed to present individuals with hypothetical health states (known as ‘choice sets’) and ask them to choose among a number of alternatives (or ‘attributes’). The choice sets presented each of the five dimensions of the preference‐based measure EQ‐5D‐5L and one duration attribute, as described in Table 1. Each dimension (mobility, self‐care, usual activities, pain/discomfort and anxiety/depression) had five ordinal levels of severity (none, slight, moderate, severe, extreme/unable). The duration attribute contained five levels (3, 5, 7, 10 and 12 years) to investigate preferences with respect to both their dimensions and potential durations.\n15\n\n\nExample of a hypothetical choice task used in the DCE design\nThe sum of all possible dimension and duration levels yielded a total of more than 240 million potential choice sets; therefore, a subset of choice sets was generated by maximizing D‐efficiency using Ngene software.\n16\n D‐efficiency is used to achieve optimal efficiency in DCEs by maximizing the information gained from a subset of choice sets while minimizing error.\n17\n The design included 120 choice sets based on D‐efficient design using the modified Fedorov algorithm.\n18\n\n\nEach respondent completed 15 choice sets for the survey. This included 13 choice sets randomly selected for each respondent from the DCE design of 120 choice sets. Two more choice sets were included as quality check measures. A repeated choice set was presented with one of the 13 choice sets being repeated in the exercise. A dominated choice set was where one of the scenarios had unambiguously worse levels for each attribute of the EQ‐5D‐5L than the other scenario.\n19\n\n", "Between July and September 2019, adult patients with haemophilia (PwH), caregivers of PwH and a representative sample of the English‐speaking US general population (GP) in terms of age, gender and region were recruited via a market research panel. We recruited 250 PwH and 2000 general population respondents.\n20\n The target sample size represented a trade‐off between the desire for accurate estimates (one that reflects the average preferences for PwH) and the practical consideration that haemophilia is a rare disease. The survey was conducted via a secure online portal. We first conducted a pilot study to evaluate participant comprehension of the choice set tasks and the survey functionality. The pilot study included a 10% subset of 200 GP, 25 PwH and 25 caregivers. We also assessed the duration attribute in the DCETTO design to compare shorter (3, 5, 7, 10 and 12 years) and longer durations (10, 12, 15, 17 and 20 years) using the reliability tests of repeated and dominated scenarios. Shorter duration performed better and was selected for the research.\nUpon entering the portal, participants were introduced to the study and had to provide informed consent in order to continue. Baseline demographic data were then collected before the participants were presented with the DCETTO tasks. Informed consent was obtained from all participants, and the study was conducted in accordance with Declaration of Helsinki. Institutional Review Board (IRB) exemption was determined by the New England IRB.", "The primary analyses compared responses from PwH and the GP. We also collected responses from caregivers of PwH; however, many caregivers had haemophilia themselves and thus were not included in the analyses to avoid confounding. To reduce uncertainty around the heterogeneity between cohorts, only male PwH were included and the age distribution was matched between the GP and PwH. Age matching was achieved by random sampling of the GP to match the PwH proportions by age group and was repeated five times to increase the robustness of resampling for multiple subgroups. The results from the resampling were then aggregated to generate mean values from random sampling responses.\nData were then modelled using conditional‐logit regressions to produce an adjusted value set for PwH and the GP.\n12\n The utility value sets were examined for inconsistencies and ordering was imposed for transitivity. Therefore, any preceding attributes were equal than or less than the current attribute, for example if level 2 of an attribute was greater than the utility of level 1, the two levels would be merged. This method has been commonly used to ensure the applicability of the DCE results.\n21\n Models for PwH and the GP were compared to test whether the models were on the same scale using a likelihood ratio statistic (LR). An LR test posed the null hypothesis that the PwH and GP models had preference homogeneity. If the LR statistic was above a critical value (calculated as the difference between the number of parameters in both models), then the null hypothesis was rejected, and the difference was considered statistically significant.\nFrom the adjusted value sets generated for PwH and GP, we estimated values for every possible EQ‐5D‐5L state. Two utilities for each population (PwH and GP) were compared for the average utility difference across health states and the frequency of the average utility were valued higher or lower. Analyses were also conducted for subgroups including by haemophilia type (A and B) and severity (severe and moderate; the sample size for patients with mild haemophilia was too small for robust analyses). All analyses were performed using Stata 16 (StataCorp).", "Of the 2183 participants that completed the DCE, 856 (39.2%; 106 [4.9%] PwH and 750 [34.4%] GP) respondents indicated inconsistencies based on the reliability tests and were excluded from the analyses. A total of 1327 participants remained (1150 GP and 177 PwH, including 118 PwHA and 59 PwHB). Demographic characteristics were generally similar between PwH and the GP except that more patients from the GP than PwH were ≥55 years of age (31% vs 11%; p < .001), and more PwH were men (77% vs 49%; p < .001; Table 2); therefore, sex and age matching were applied for the analyses.\nCharacteristics for participants included in the analysis\n\np‐Value\n(PwH vs GP)\nAbbreviations: GP, General Population; N, number; PwH, People with Haemophilia; SD, standard deviation; Y, year.", "PwH were found to provide higher values for 98.9% of EQ‐5D‐5L states compared to the GP (Table 3). Figure 1 presents the relative utility values, which illustrates that PwH value states were consistently higher than GP value states with a utility value of 0.9 or less. The mean HSV difference between PwH and the GP was 0.17 across all possible EQ‐5D‐5L states. An approximation of the minimal clinically important difference (MCID) for the EQ‐5D‐5L based on EQ‐5D‐3L values was used as EQ‐5D‐5L US MCIDs are not available; therefore, the MCID is reported as 0.07\n22\n indicating that the HSV difference between PwH and the GP was clinically meaningful. LR tests also showed that the two utility scales differed significantly between responses from PwH and the GP (LR = 36.34; p < .01).\nComparative EQ‐5D‐5L value sets by haemophilia type and severity.\nAbbreviations: EQ‐5D‐5L, EuroQol‐5‐dimensions 5‐level; GP, general population; IQR, interquartile range; N, number; PwHA, people with haemophilia A; PwHB, people with haemophilia B; PwMH, people with moderate haemophilia; PwSH, people with severe haemophilia; SD, standard deviation; Y, year.\nGraphical representation of observed utility of PwH compared to actual utility. Abbreviations: PwH, people with haemophilia. Note: Actual utility describes the utility that was observed by the general population. Observed utility describes the corresponding utility that was elicited from PwH. Based on utility decrements derived from the DCETTO for the EQ‐5D‐5L across 3125 states, corresponding health state utility values were derived. Using 0.05 utility intervals, based on health state utility values derived from the general population, corresponding values derived from PwH were plotted. For each 0.05 interval and utility value reported by the general population, the corresponding utility value weighted average was described\nEQ‐5D‐5L individual attribute mean utility values are illustrated in Figure 2. The results indicated that mobility and self‐care attributes were associated with a greater impact on QoL for PwH across all five levels of severity.\nGraphical representation of the EQ‐5D‐5L coefficients for PwH and GP. Abbreviations: MO, Mobility; SC, Self‐Care; UA, Usual Activities; PD, Pain and Discomfort; AD, Anxiety and Depression; PwH; people with haemophilia. Notes: By domain, the levels of responses range from no problems to severe problems (1–5)", "For PwHA and PwHB, utility valuations were found to be higher for 96.5% and 97.4% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S1 presents the relative utility values of PwHA and PwHB compared to GP. The mean HSV difference was 0.17 (PwHA) and 0.21 (PwHB) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwHA and the GP (LR = 33.08; p < .001) and PwHB and GP (LR = 30.44; p < .01).\nFor people with severe haemophilia (PwSH) and people with moderate haemophilia (PwMH), utility valuations were found to be higher for 95.4% and 98.9% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S2 presents the relative utility values of PwSH and PwMH compared to the GP. The mean HSV difference was 0.14 (PwSH) and 0.17 (PwMH) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwSH and the GP (LR = 31.32; p < .01); however, this was not seen for PwMH and GP (LR = 11.77; p = .4645).", "APM and JOH contributed to the concept and design. APM, JOH and GM performed the research. APM, JOH, GM, BM, NL and EKS analysed the data. All authors contributed to the interpreting the data and the writing of the paper." ]
[ null, null, null, null, null, null, null ]
[ "BACKGROUND", "Methods", "Study design", "Study population, setting & study size", "Analysis", "RESULTS", "Sample", "Comparison of PwH and the GP", "Subgroup analysis of haemophilia type and severity", "DISCUSSION", "CONCLUSION", "CONFLICT OF INTEREST", "AUTHOR CONTRIBUTIONS", "Supporting information" ]
[ "Haemophilia is a lifelong genetic disorder associated with significant clinical burden driven by haemarthrosis, joint damage and pain, with subsequent negative impact on patients’ mental health, daily functioning and overall quality of life (QoL).\n1\n, \n2\n The substantial reductions in morbidity and mortality afforded by modern therapeutic advances have elevated the aims of haemophilia treatment to realize a functional cure and to bring health equity to patients with this persistent, lifelong condition.\n3\n As such, the landmark improvements in clinical effectiveness have increased the importance of patient‐centric outcomes related to well‐being, functionality, and QoL.\n4\n, \n5\n, \n6\n, \n7\n Measuring the patient‐reported impact of conditions with lasting disabilities, such as haemophilia, may include a counterintuitive phenomenon known as the ‘disability paradox’, where patients report good or excellent QoL while observers characterize the patients’ daily struggles much less favourably.\n8\n This disease state adaptation is believed to derive from a re‐prioritization of values, a recalibration of essential needs and/or a re‐conceptualization of central beliefs as patients adapt to the effects of their condition.\n8\n, \n9\n Importantly, this can cause an underestimation of disease burden and an under‐valuation of treatment effects in patient‐reported outcomes research.\nThe QoL of an individual can be derived from preference‐based measures of health such as the EuroQoL 5‐Dimensions (EQ‐5D).\n10\n The EQ‐5D includes five domains: mobility, self‐care, usual activities, pain/discomfort and anxiety/depression. Once the questionnaire is completed, a health state valuation (HSVs) can be generated using a scoring algorithm designed to be a cardinal index of utility anchored on full health (1) and death (0). Values generated provide a ‘utility value set’ for each state described by the classification system.\n11\n\n\nDiscrete choice experiments (DCE) are widely used to estimate HSVs. DCEs are an ordinal choice‐based method, which assume that people generally choose the option that provides them with the highest level of utility.\n12\n In DCEs, respondents are typically asked to choose between choice tasks consisting of health scenarios. Each scenario consists of attributes and severity levels for each attribute, and as such, DCE methods may be applied to generate utility value sets. DCEs incorporating an attribute for duration (time trade‐off; DCETTO) can be used to compare value sets by different respondent groups.\nIt has been suggested that patients with haemophilia rate their health states higher than the general population in some scenarios, but this has not been thoroughly explored or quantified.\n13\n, \n14\n We conducted a DCETTO using the EQ‐5D‐5L to investigate the potential of a disability paradox among patients with haemophilia. Using discrete choice methods allowed us to assess self‐reported preferences for incremental health state scenarios that can be compared between patients and otherwise healthy peers to characterize differences attributable to disease.\n12\n We also quantified differences in reported health state valuations between patients with haemophilia and a representative sample of the US general population. Our aim was to identify and characterize the need for adjustments in the evaluation of patient‐reported burden of haemophilia and effects of treatment on functionality and QoL.", "Study design In this study, a DCETTO was designed to present individuals with hypothetical health states (known as ‘choice sets’) and ask them to choose among a number of alternatives (or ‘attributes’). The choice sets presented each of the five dimensions of the preference‐based measure EQ‐5D‐5L and one duration attribute, as described in Table 1. Each dimension (mobility, self‐care, usual activities, pain/discomfort and anxiety/depression) had five ordinal levels of severity (none, slight, moderate, severe, extreme/unable). The duration attribute contained five levels (3, 5, 7, 10 and 12 years) to investigate preferences with respect to both their dimensions and potential durations.\n15\n\n\nExample of a hypothetical choice task used in the DCE design\nThe sum of all possible dimension and duration levels yielded a total of more than 240 million potential choice sets; therefore, a subset of choice sets was generated by maximizing D‐efficiency using Ngene software.\n16\n D‐efficiency is used to achieve optimal efficiency in DCEs by maximizing the information gained from a subset of choice sets while minimizing error.\n17\n The design included 120 choice sets based on D‐efficient design using the modified Fedorov algorithm.\n18\n\n\nEach respondent completed 15 choice sets for the survey. This included 13 choice sets randomly selected for each respondent from the DCE design of 120 choice sets. Two more choice sets were included as quality check measures. A repeated choice set was presented with one of the 13 choice sets being repeated in the exercise. A dominated choice set was where one of the scenarios had unambiguously worse levels for each attribute of the EQ‐5D‐5L than the other scenario.\n19\n\n\nIn this study, a DCETTO was designed to present individuals with hypothetical health states (known as ‘choice sets’) and ask them to choose among a number of alternatives (or ‘attributes’). The choice sets presented each of the five dimensions of the preference‐based measure EQ‐5D‐5L and one duration attribute, as described in Table 1. Each dimension (mobility, self‐care, usual activities, pain/discomfort and anxiety/depression) had five ordinal levels of severity (none, slight, moderate, severe, extreme/unable). The duration attribute contained five levels (3, 5, 7, 10 and 12 years) to investigate preferences with respect to both their dimensions and potential durations.\n15\n\n\nExample of a hypothetical choice task used in the DCE design\nThe sum of all possible dimension and duration levels yielded a total of more than 240 million potential choice sets; therefore, a subset of choice sets was generated by maximizing D‐efficiency using Ngene software.\n16\n D‐efficiency is used to achieve optimal efficiency in DCEs by maximizing the information gained from a subset of choice sets while minimizing error.\n17\n The design included 120 choice sets based on D‐efficient design using the modified Fedorov algorithm.\n18\n\n\nEach respondent completed 15 choice sets for the survey. This included 13 choice sets randomly selected for each respondent from the DCE design of 120 choice sets. Two more choice sets were included as quality check measures. A repeated choice set was presented with one of the 13 choice sets being repeated in the exercise. A dominated choice set was where one of the scenarios had unambiguously worse levels for each attribute of the EQ‐5D‐5L than the other scenario.\n19\n\n\nStudy population, setting & study size Between July and September 2019, adult patients with haemophilia (PwH), caregivers of PwH and a representative sample of the English‐speaking US general population (GP) in terms of age, gender and region were recruited via a market research panel. We recruited 250 PwH and 2000 general population respondents.\n20\n The target sample size represented a trade‐off between the desire for accurate estimates (one that reflects the average preferences for PwH) and the practical consideration that haemophilia is a rare disease. The survey was conducted via a secure online portal. We first conducted a pilot study to evaluate participant comprehension of the choice set tasks and the survey functionality. The pilot study included a 10% subset of 200 GP, 25 PwH and 25 caregivers. We also assessed the duration attribute in the DCETTO design to compare shorter (3, 5, 7, 10 and 12 years) and longer durations (10, 12, 15, 17 and 20 years) using the reliability tests of repeated and dominated scenarios. Shorter duration performed better and was selected for the research.\nUpon entering the portal, participants were introduced to the study and had to provide informed consent in order to continue. Baseline demographic data were then collected before the participants were presented with the DCETTO tasks. Informed consent was obtained from all participants, and the study was conducted in accordance with Declaration of Helsinki. Institutional Review Board (IRB) exemption was determined by the New England IRB.\nBetween July and September 2019, adult patients with haemophilia (PwH), caregivers of PwH and a representative sample of the English‐speaking US general population (GP) in terms of age, gender and region were recruited via a market research panel. We recruited 250 PwH and 2000 general population respondents.\n20\n The target sample size represented a trade‐off between the desire for accurate estimates (one that reflects the average preferences for PwH) and the practical consideration that haemophilia is a rare disease. The survey was conducted via a secure online portal. We first conducted a pilot study to evaluate participant comprehension of the choice set tasks and the survey functionality. The pilot study included a 10% subset of 200 GP, 25 PwH and 25 caregivers. We also assessed the duration attribute in the DCETTO design to compare shorter (3, 5, 7, 10 and 12 years) and longer durations (10, 12, 15, 17 and 20 years) using the reliability tests of repeated and dominated scenarios. Shorter duration performed better and was selected for the research.\nUpon entering the portal, participants were introduced to the study and had to provide informed consent in order to continue. Baseline demographic data were then collected before the participants were presented with the DCETTO tasks. Informed consent was obtained from all participants, and the study was conducted in accordance with Declaration of Helsinki. Institutional Review Board (IRB) exemption was determined by the New England IRB.\nAnalysis The primary analyses compared responses from PwH and the GP. We also collected responses from caregivers of PwH; however, many caregivers had haemophilia themselves and thus were not included in the analyses to avoid confounding. To reduce uncertainty around the heterogeneity between cohorts, only male PwH were included and the age distribution was matched between the GP and PwH. Age matching was achieved by random sampling of the GP to match the PwH proportions by age group and was repeated five times to increase the robustness of resampling for multiple subgroups. The results from the resampling were then aggregated to generate mean values from random sampling responses.\nData were then modelled using conditional‐logit regressions to produce an adjusted value set for PwH and the GP.\n12\n The utility value sets were examined for inconsistencies and ordering was imposed for transitivity. Therefore, any preceding attributes were equal than or less than the current attribute, for example if level 2 of an attribute was greater than the utility of level 1, the two levels would be merged. This method has been commonly used to ensure the applicability of the DCE results.\n21\n Models for PwH and the GP were compared to test whether the models were on the same scale using a likelihood ratio statistic (LR). An LR test posed the null hypothesis that the PwH and GP models had preference homogeneity. If the LR statistic was above a critical value (calculated as the difference between the number of parameters in both models), then the null hypothesis was rejected, and the difference was considered statistically significant.\nFrom the adjusted value sets generated for PwH and GP, we estimated values for every possible EQ‐5D‐5L state. Two utilities for each population (PwH and GP) were compared for the average utility difference across health states and the frequency of the average utility were valued higher or lower. Analyses were also conducted for subgroups including by haemophilia type (A and B) and severity (severe and moderate; the sample size for patients with mild haemophilia was too small for robust analyses). All analyses were performed using Stata 16 (StataCorp).\nThe primary analyses compared responses from PwH and the GP. We also collected responses from caregivers of PwH; however, many caregivers had haemophilia themselves and thus were not included in the analyses to avoid confounding. To reduce uncertainty around the heterogeneity between cohorts, only male PwH were included and the age distribution was matched between the GP and PwH. Age matching was achieved by random sampling of the GP to match the PwH proportions by age group and was repeated five times to increase the robustness of resampling for multiple subgroups. The results from the resampling were then aggregated to generate mean values from random sampling responses.\nData were then modelled using conditional‐logit regressions to produce an adjusted value set for PwH and the GP.\n12\n The utility value sets were examined for inconsistencies and ordering was imposed for transitivity. Therefore, any preceding attributes were equal than or less than the current attribute, for example if level 2 of an attribute was greater than the utility of level 1, the two levels would be merged. This method has been commonly used to ensure the applicability of the DCE results.\n21\n Models for PwH and the GP were compared to test whether the models were on the same scale using a likelihood ratio statistic (LR). An LR test posed the null hypothesis that the PwH and GP models had preference homogeneity. If the LR statistic was above a critical value (calculated as the difference between the number of parameters in both models), then the null hypothesis was rejected, and the difference was considered statistically significant.\nFrom the adjusted value sets generated for PwH and GP, we estimated values for every possible EQ‐5D‐5L state. Two utilities for each population (PwH and GP) were compared for the average utility difference across health states and the frequency of the average utility were valued higher or lower. Analyses were also conducted for subgroups including by haemophilia type (A and B) and severity (severe and moderate; the sample size for patients with mild haemophilia was too small for robust analyses). All analyses were performed using Stata 16 (StataCorp).", "In this study, a DCETTO was designed to present individuals with hypothetical health states (known as ‘choice sets’) and ask them to choose among a number of alternatives (or ‘attributes’). The choice sets presented each of the five dimensions of the preference‐based measure EQ‐5D‐5L and one duration attribute, as described in Table 1. Each dimension (mobility, self‐care, usual activities, pain/discomfort and anxiety/depression) had five ordinal levels of severity (none, slight, moderate, severe, extreme/unable). The duration attribute contained five levels (3, 5, 7, 10 and 12 years) to investigate preferences with respect to both their dimensions and potential durations.\n15\n\n\nExample of a hypothetical choice task used in the DCE design\nThe sum of all possible dimension and duration levels yielded a total of more than 240 million potential choice sets; therefore, a subset of choice sets was generated by maximizing D‐efficiency using Ngene software.\n16\n D‐efficiency is used to achieve optimal efficiency in DCEs by maximizing the information gained from a subset of choice sets while minimizing error.\n17\n The design included 120 choice sets based on D‐efficient design using the modified Fedorov algorithm.\n18\n\n\nEach respondent completed 15 choice sets for the survey. This included 13 choice sets randomly selected for each respondent from the DCE design of 120 choice sets. Two more choice sets were included as quality check measures. A repeated choice set was presented with one of the 13 choice sets being repeated in the exercise. A dominated choice set was where one of the scenarios had unambiguously worse levels for each attribute of the EQ‐5D‐5L than the other scenario.\n19\n\n", "Between July and September 2019, adult patients with haemophilia (PwH), caregivers of PwH and a representative sample of the English‐speaking US general population (GP) in terms of age, gender and region were recruited via a market research panel. We recruited 250 PwH and 2000 general population respondents.\n20\n The target sample size represented a trade‐off between the desire for accurate estimates (one that reflects the average preferences for PwH) and the practical consideration that haemophilia is a rare disease. The survey was conducted via a secure online portal. We first conducted a pilot study to evaluate participant comprehension of the choice set tasks and the survey functionality. The pilot study included a 10% subset of 200 GP, 25 PwH and 25 caregivers. We also assessed the duration attribute in the DCETTO design to compare shorter (3, 5, 7, 10 and 12 years) and longer durations (10, 12, 15, 17 and 20 years) using the reliability tests of repeated and dominated scenarios. Shorter duration performed better and was selected for the research.\nUpon entering the portal, participants were introduced to the study and had to provide informed consent in order to continue. Baseline demographic data were then collected before the participants were presented with the DCETTO tasks. Informed consent was obtained from all participants, and the study was conducted in accordance with Declaration of Helsinki. Institutional Review Board (IRB) exemption was determined by the New England IRB.", "The primary analyses compared responses from PwH and the GP. We also collected responses from caregivers of PwH; however, many caregivers had haemophilia themselves and thus were not included in the analyses to avoid confounding. To reduce uncertainty around the heterogeneity between cohorts, only male PwH were included and the age distribution was matched between the GP and PwH. Age matching was achieved by random sampling of the GP to match the PwH proportions by age group and was repeated five times to increase the robustness of resampling for multiple subgroups. The results from the resampling were then aggregated to generate mean values from random sampling responses.\nData were then modelled using conditional‐logit regressions to produce an adjusted value set for PwH and the GP.\n12\n The utility value sets were examined for inconsistencies and ordering was imposed for transitivity. Therefore, any preceding attributes were equal than or less than the current attribute, for example if level 2 of an attribute was greater than the utility of level 1, the two levels would be merged. This method has been commonly used to ensure the applicability of the DCE results.\n21\n Models for PwH and the GP were compared to test whether the models were on the same scale using a likelihood ratio statistic (LR). An LR test posed the null hypothesis that the PwH and GP models had preference homogeneity. If the LR statistic was above a critical value (calculated as the difference between the number of parameters in both models), then the null hypothesis was rejected, and the difference was considered statistically significant.\nFrom the adjusted value sets generated for PwH and GP, we estimated values for every possible EQ‐5D‐5L state. Two utilities for each population (PwH and GP) were compared for the average utility difference across health states and the frequency of the average utility were valued higher or lower. Analyses were also conducted for subgroups including by haemophilia type (A and B) and severity (severe and moderate; the sample size for patients with mild haemophilia was too small for robust analyses). All analyses were performed using Stata 16 (StataCorp).", "Sample Of the 2183 participants that completed the DCE, 856 (39.2%; 106 [4.9%] PwH and 750 [34.4%] GP) respondents indicated inconsistencies based on the reliability tests and were excluded from the analyses. A total of 1327 participants remained (1150 GP and 177 PwH, including 118 PwHA and 59 PwHB). Demographic characteristics were generally similar between PwH and the GP except that more patients from the GP than PwH were ≥55 years of age (31% vs 11%; p < .001), and more PwH were men (77% vs 49%; p < .001; Table 2); therefore, sex and age matching were applied for the analyses.\nCharacteristics for participants included in the analysis\n\np‐Value\n(PwH vs GP)\nAbbreviations: GP, General Population; N, number; PwH, People with Haemophilia; SD, standard deviation; Y, year.\nOf the 2183 participants that completed the DCE, 856 (39.2%; 106 [4.9%] PwH and 750 [34.4%] GP) respondents indicated inconsistencies based on the reliability tests and were excluded from the analyses. A total of 1327 participants remained (1150 GP and 177 PwH, including 118 PwHA and 59 PwHB). Demographic characteristics were generally similar between PwH and the GP except that more patients from the GP than PwH were ≥55 years of age (31% vs 11%; p < .001), and more PwH were men (77% vs 49%; p < .001; Table 2); therefore, sex and age matching were applied for the analyses.\nCharacteristics for participants included in the analysis\n\np‐Value\n(PwH vs GP)\nAbbreviations: GP, General Population; N, number; PwH, People with Haemophilia; SD, standard deviation; Y, year.\nComparison of PwH and the GP PwH were found to provide higher values for 98.9% of EQ‐5D‐5L states compared to the GP (Table 3). Figure 1 presents the relative utility values, which illustrates that PwH value states were consistently higher than GP value states with a utility value of 0.9 or less. The mean HSV difference between PwH and the GP was 0.17 across all possible EQ‐5D‐5L states. An approximation of the minimal clinically important difference (MCID) for the EQ‐5D‐5L based on EQ‐5D‐3L values was used as EQ‐5D‐5L US MCIDs are not available; therefore, the MCID is reported as 0.07\n22\n indicating that the HSV difference between PwH and the GP was clinically meaningful. LR tests also showed that the two utility scales differed significantly between responses from PwH and the GP (LR = 36.34; p < .01).\nComparative EQ‐5D‐5L value sets by haemophilia type and severity.\nAbbreviations: EQ‐5D‐5L, EuroQol‐5‐dimensions 5‐level; GP, general population; IQR, interquartile range; N, number; PwHA, people with haemophilia A; PwHB, people with haemophilia B; PwMH, people with moderate haemophilia; PwSH, people with severe haemophilia; SD, standard deviation; Y, year.\nGraphical representation of observed utility of PwH compared to actual utility. Abbreviations: PwH, people with haemophilia. Note: Actual utility describes the utility that was observed by the general population. Observed utility describes the corresponding utility that was elicited from PwH. Based on utility decrements derived from the DCETTO for the EQ‐5D‐5L across 3125 states, corresponding health state utility values were derived. Using 0.05 utility intervals, based on health state utility values derived from the general population, corresponding values derived from PwH were plotted. For each 0.05 interval and utility value reported by the general population, the corresponding utility value weighted average was described\nEQ‐5D‐5L individual attribute mean utility values are illustrated in Figure 2. The results indicated that mobility and self‐care attributes were associated with a greater impact on QoL for PwH across all five levels of severity.\nGraphical representation of the EQ‐5D‐5L coefficients for PwH and GP. Abbreviations: MO, Mobility; SC, Self‐Care; UA, Usual Activities; PD, Pain and Discomfort; AD, Anxiety and Depression; PwH; people with haemophilia. Notes: By domain, the levels of responses range from no problems to severe problems (1–5)\nPwH were found to provide higher values for 98.9% of EQ‐5D‐5L states compared to the GP (Table 3). Figure 1 presents the relative utility values, which illustrates that PwH value states were consistently higher than GP value states with a utility value of 0.9 or less. The mean HSV difference between PwH and the GP was 0.17 across all possible EQ‐5D‐5L states. An approximation of the minimal clinically important difference (MCID) for the EQ‐5D‐5L based on EQ‐5D‐3L values was used as EQ‐5D‐5L US MCIDs are not available; therefore, the MCID is reported as 0.07\n22\n indicating that the HSV difference between PwH and the GP was clinically meaningful. LR tests also showed that the two utility scales differed significantly between responses from PwH and the GP (LR = 36.34; p < .01).\nComparative EQ‐5D‐5L value sets by haemophilia type and severity.\nAbbreviations: EQ‐5D‐5L, EuroQol‐5‐dimensions 5‐level; GP, general population; IQR, interquartile range; N, number; PwHA, people with haemophilia A; PwHB, people with haemophilia B; PwMH, people with moderate haemophilia; PwSH, people with severe haemophilia; SD, standard deviation; Y, year.\nGraphical representation of observed utility of PwH compared to actual utility. Abbreviations: PwH, people with haemophilia. Note: Actual utility describes the utility that was observed by the general population. Observed utility describes the corresponding utility that was elicited from PwH. Based on utility decrements derived from the DCETTO for the EQ‐5D‐5L across 3125 states, corresponding health state utility values were derived. Using 0.05 utility intervals, based on health state utility values derived from the general population, corresponding values derived from PwH were plotted. For each 0.05 interval and utility value reported by the general population, the corresponding utility value weighted average was described\nEQ‐5D‐5L individual attribute mean utility values are illustrated in Figure 2. The results indicated that mobility and self‐care attributes were associated with a greater impact on QoL for PwH across all five levels of severity.\nGraphical representation of the EQ‐5D‐5L coefficients for PwH and GP. Abbreviations: MO, Mobility; SC, Self‐Care; UA, Usual Activities; PD, Pain and Discomfort; AD, Anxiety and Depression; PwH; people with haemophilia. Notes: By domain, the levels of responses range from no problems to severe problems (1–5)\nSubgroup analysis of haemophilia type and severity For PwHA and PwHB, utility valuations were found to be higher for 96.5% and 97.4% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S1 presents the relative utility values of PwHA and PwHB compared to GP. The mean HSV difference was 0.17 (PwHA) and 0.21 (PwHB) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwHA and the GP (LR = 33.08; p < .001) and PwHB and GP (LR = 30.44; p < .01).\nFor people with severe haemophilia (PwSH) and people with moderate haemophilia (PwMH), utility valuations were found to be higher for 95.4% and 98.9% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S2 presents the relative utility values of PwSH and PwMH compared to the GP. The mean HSV difference was 0.14 (PwSH) and 0.17 (PwMH) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwSH and the GP (LR = 31.32; p < .01); however, this was not seen for PwMH and GP (LR = 11.77; p = .4645).\nFor PwHA and PwHB, utility valuations were found to be higher for 96.5% and 97.4% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S1 presents the relative utility values of PwHA and PwHB compared to GP. The mean HSV difference was 0.17 (PwHA) and 0.21 (PwHB) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwHA and the GP (LR = 33.08; p < .001) and PwHB and GP (LR = 30.44; p < .01).\nFor people with severe haemophilia (PwSH) and people with moderate haemophilia (PwMH), utility valuations were found to be higher for 95.4% and 98.9% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S2 presents the relative utility values of PwSH and PwMH compared to the GP. The mean HSV difference was 0.14 (PwSH) and 0.17 (PwMH) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwSH and the GP (LR = 31.32; p < .01); however, this was not seen for PwMH and GP (LR = 11.77; p = .4645).", "Of the 2183 participants that completed the DCE, 856 (39.2%; 106 [4.9%] PwH and 750 [34.4%] GP) respondents indicated inconsistencies based on the reliability tests and were excluded from the analyses. A total of 1327 participants remained (1150 GP and 177 PwH, including 118 PwHA and 59 PwHB). Demographic characteristics were generally similar between PwH and the GP except that more patients from the GP than PwH were ≥55 years of age (31% vs 11%; p < .001), and more PwH were men (77% vs 49%; p < .001; Table 2); therefore, sex and age matching were applied for the analyses.\nCharacteristics for participants included in the analysis\n\np‐Value\n(PwH vs GP)\nAbbreviations: GP, General Population; N, number; PwH, People with Haemophilia; SD, standard deviation; Y, year.", "PwH were found to provide higher values for 98.9% of EQ‐5D‐5L states compared to the GP (Table 3). Figure 1 presents the relative utility values, which illustrates that PwH value states were consistently higher than GP value states with a utility value of 0.9 or less. The mean HSV difference between PwH and the GP was 0.17 across all possible EQ‐5D‐5L states. An approximation of the minimal clinically important difference (MCID) for the EQ‐5D‐5L based on EQ‐5D‐3L values was used as EQ‐5D‐5L US MCIDs are not available; therefore, the MCID is reported as 0.07\n22\n indicating that the HSV difference between PwH and the GP was clinically meaningful. LR tests also showed that the two utility scales differed significantly between responses from PwH and the GP (LR = 36.34; p < .01).\nComparative EQ‐5D‐5L value sets by haemophilia type and severity.\nAbbreviations: EQ‐5D‐5L, EuroQol‐5‐dimensions 5‐level; GP, general population; IQR, interquartile range; N, number; PwHA, people with haemophilia A; PwHB, people with haemophilia B; PwMH, people with moderate haemophilia; PwSH, people with severe haemophilia; SD, standard deviation; Y, year.\nGraphical representation of observed utility of PwH compared to actual utility. Abbreviations: PwH, people with haemophilia. Note: Actual utility describes the utility that was observed by the general population. Observed utility describes the corresponding utility that was elicited from PwH. Based on utility decrements derived from the DCETTO for the EQ‐5D‐5L across 3125 states, corresponding health state utility values were derived. Using 0.05 utility intervals, based on health state utility values derived from the general population, corresponding values derived from PwH were plotted. For each 0.05 interval and utility value reported by the general population, the corresponding utility value weighted average was described\nEQ‐5D‐5L individual attribute mean utility values are illustrated in Figure 2. The results indicated that mobility and self‐care attributes were associated with a greater impact on QoL for PwH across all five levels of severity.\nGraphical representation of the EQ‐5D‐5L coefficients for PwH and GP. Abbreviations: MO, Mobility; SC, Self‐Care; UA, Usual Activities; PD, Pain and Discomfort; AD, Anxiety and Depression; PwH; people with haemophilia. Notes: By domain, the levels of responses range from no problems to severe problems (1–5)", "For PwHA and PwHB, utility valuations were found to be higher for 96.5% and 97.4% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S1 presents the relative utility values of PwHA and PwHB compared to GP. The mean HSV difference was 0.17 (PwHA) and 0.21 (PwHB) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwHA and the GP (LR = 33.08; p < .001) and PwHB and GP (LR = 30.44; p < .01).\nFor people with severe haemophilia (PwSH) and people with moderate haemophilia (PwMH), utility valuations were found to be higher for 95.4% and 98.9% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S2 presents the relative utility values of PwSH and PwMH compared to the GP. The mean HSV difference was 0.14 (PwSH) and 0.17 (PwMH) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwSH and the GP (LR = 31.32; p < .01); however, this was not seen for PwMH and GP (LR = 11.77; p = .4645).", "Our study revealed evidence of the disability paradox in haemophilia patient‐reported outcomes, where people with haemophilia reported significantly higher health state valuations than otherwise healthy peers from the general US population. This difference was both statistically significant and clinically meaningful, with consistent results across haemophilia A and B as well as severe and moderate patients. These findings should be considered in the design and interpretation of patient‐reported outcomes research in haemophilia.\nOur findings are consistent with studies of disease state adaptation reported in haemophilia and other chronic conditions, where patients have reported higher health states than otherwise healthy peers.\n23\n, \n24\n, \n25\n A recent patient preference study by Carlsson et al. (2017)\n25\n showed that patients with haemophilia A consistently rated their health states higher than their peers in the GP (score range, 0.67–0.73 for PwHA vs 0.54–0.60 for the GP). Our study indicated a disability paradox in PwH using a validated, widely used QoL instrument, the EQ‐5D‐5L. Our application of the composite DCETTO method to include consideration of the duration of health states offers a robust approach not only to test for the existence of the disability paradox, but also to quantify its impact. Gandhi and colleagues (2017)\n23\n observed that patients with heart disease or cancer reported similar health state utility values as the general population when adjusted for sociodemographic characteristics. Peeters and Stiggelbout (2010)\n24\n conducted a meta‐analysis showing that patients across a variety of conditions generally provided higher health state valuations than ‘non‐patients’ from the GP. Alternatively, similar health state valuations have been reported between patients with epilepsy and healthy peers, and worse ratings for those with dementia compared to the GP.\n26\n, \n27\n In the context of this broader heterogeneity, our findings support the use of haemophilia‐specific health utility assessments for the accurate design and interpretation of patient‐centric research.\nOur work has implications for clinical research assessments and for broader population health management and policy decisions. In the pursuit of greater health equity for people with haemophilia, patient‐centric outcome measures are used more often and with greater consideration. We observed and quantified a disability paradox in PwH‐rated health states using the EQ‐5D‐5L. The frequent use of this instrument in clinical research and health technology assessments emphasizes the likelihood that disease burden is underestimated and treatment effect is under‐valued when the disease state adaptation is not factored into totality of treatment benefits and health technology evaluations. As novel treatment options such as gene therapy emerge with the potential to approach a functional cure,\n28\n, \n29\n the characterization of patient‐centric value should account for the ‘true’ burden of haemophilia and relative improvements offered by new therapeutic strategies.\nThis study should also be considered in the context of certain strengths and limitations. We utilized the validated EQ‐5D‐5L for patient‐reported outcomes, which should offer some generalizability to future research efforts using the same instrument. The DCE and time trade‐off methods are common in health services research. Since the DCETTO was completed online, without an in‐person facilitator to guide the respondent through the activity, there may have been some impact on the accuracy of responses if a participant did not fully understand a given question\n30\n; however, we sought to account for this potential limitation by removing inconsistent responses in the analysis. Due to haemophilia being a rare condition, we were limited by sample size in our subgroup analysis; future research could address these subgroups with a larger sample size to see if the findings hold true. Unobserved patient characteristics and contextual factors may have contributed to the heterogeneity of reported preferences. Further research may account for additional observable characteristics that may differ between cohorts, such as the presence of comorbidities or additional sociodemographic considerations.", "Our findings indicated the presence of a disability paradox in the population preferences for haemophilia. Clinical and health technology assessments should account for health state‐derived QoL evaluations specific to people with haemophilia. The unmet needs identified in current standards of care are likely to underestimate the burden of haemophilia on patients and caregivers, and standard QoL instruments that do not account for the disability paradox may not be accurate for clinical assessments and health policy decisions.", "JOH, APM and GM work for HCD Economics who were funded by uniQure Inc. to undertake this research. EKS and NL are employees of uniQure Inc. DN, MW, BM, TB, MS and BOM have no interests to declare.", "APM and JOH contributed to the concept and design. APM, JOH and GM performed the research. APM, JOH, GM, BM, NL and EKS analysed the data. All authors contributed to the interpreting the data and the writing of the paper.", "Fig S1‐2\nClick here for additional data file." ]
[ "background", "methods", null, null, null, "results", null, null, null, "discussion", "conclusions", "COI-statement", null, "supplementary-material" ]
[ "cost‐effectiveness", "haemophilia", "health equity", "patient‐reported outcome measurement", "quality of life" ]
BACKGROUND: Haemophilia is a lifelong genetic disorder associated with significant clinical burden driven by haemarthrosis, joint damage and pain, with subsequent negative impact on patients’ mental health, daily functioning and overall quality of life (QoL). 1 , 2 The substantial reductions in morbidity and mortality afforded by modern therapeutic advances have elevated the aims of haemophilia treatment to realize a functional cure and to bring health equity to patients with this persistent, lifelong condition. 3 As such, the landmark improvements in clinical effectiveness have increased the importance of patient‐centric outcomes related to well‐being, functionality, and QoL. 4 , 5 , 6 , 7 Measuring the patient‐reported impact of conditions with lasting disabilities, such as haemophilia, may include a counterintuitive phenomenon known as the ‘disability paradox’, where patients report good or excellent QoL while observers characterize the patients’ daily struggles much less favourably. 8 This disease state adaptation is believed to derive from a re‐prioritization of values, a recalibration of essential needs and/or a re‐conceptualization of central beliefs as patients adapt to the effects of their condition. 8 , 9 Importantly, this can cause an underestimation of disease burden and an under‐valuation of treatment effects in patient‐reported outcomes research. The QoL of an individual can be derived from preference‐based measures of health such as the EuroQoL 5‐Dimensions (EQ‐5D). 10 The EQ‐5D includes five domains: mobility, self‐care, usual activities, pain/discomfort and anxiety/depression. Once the questionnaire is completed, a health state valuation (HSVs) can be generated using a scoring algorithm designed to be a cardinal index of utility anchored on full health (1) and death (0). Values generated provide a ‘utility value set’ for each state described by the classification system. 11 Discrete choice experiments (DCE) are widely used to estimate HSVs. DCEs are an ordinal choice‐based method, which assume that people generally choose the option that provides them with the highest level of utility. 12 In DCEs, respondents are typically asked to choose between choice tasks consisting of health scenarios. Each scenario consists of attributes and severity levels for each attribute, and as such, DCE methods may be applied to generate utility value sets. DCEs incorporating an attribute for duration (time trade‐off; DCETTO) can be used to compare value sets by different respondent groups. It has been suggested that patients with haemophilia rate their health states higher than the general population in some scenarios, but this has not been thoroughly explored or quantified. 13 , 14 We conducted a DCETTO using the EQ‐5D‐5L to investigate the potential of a disability paradox among patients with haemophilia. Using discrete choice methods allowed us to assess self‐reported preferences for incremental health state scenarios that can be compared between patients and otherwise healthy peers to characterize differences attributable to disease. 12 We also quantified differences in reported health state valuations between patients with haemophilia and a representative sample of the US general population. Our aim was to identify and characterize the need for adjustments in the evaluation of patient‐reported burden of haemophilia and effects of treatment on functionality and QoL. Methods: Study design In this study, a DCETTO was designed to present individuals with hypothetical health states (known as ‘choice sets’) and ask them to choose among a number of alternatives (or ‘attributes’). The choice sets presented each of the five dimensions of the preference‐based measure EQ‐5D‐5L and one duration attribute, as described in Table 1. Each dimension (mobility, self‐care, usual activities, pain/discomfort and anxiety/depression) had five ordinal levels of severity (none, slight, moderate, severe, extreme/unable). The duration attribute contained five levels (3, 5, 7, 10 and 12 years) to investigate preferences with respect to both their dimensions and potential durations. 15 Example of a hypothetical choice task used in the DCE design The sum of all possible dimension and duration levels yielded a total of more than 240 million potential choice sets; therefore, a subset of choice sets was generated by maximizing D‐efficiency using Ngene software. 16 D‐efficiency is used to achieve optimal efficiency in DCEs by maximizing the information gained from a subset of choice sets while minimizing error. 17 The design included 120 choice sets based on D‐efficient design using the modified Fedorov algorithm. 18 Each respondent completed 15 choice sets for the survey. This included 13 choice sets randomly selected for each respondent from the DCE design of 120 choice sets. Two more choice sets were included as quality check measures. A repeated choice set was presented with one of the 13 choice sets being repeated in the exercise. A dominated choice set was where one of the scenarios had unambiguously worse levels for each attribute of the EQ‐5D‐5L than the other scenario. 19 In this study, a DCETTO was designed to present individuals with hypothetical health states (known as ‘choice sets’) and ask them to choose among a number of alternatives (or ‘attributes’). The choice sets presented each of the five dimensions of the preference‐based measure EQ‐5D‐5L and one duration attribute, as described in Table 1. Each dimension (mobility, self‐care, usual activities, pain/discomfort and anxiety/depression) had five ordinal levels of severity (none, slight, moderate, severe, extreme/unable). The duration attribute contained five levels (3, 5, 7, 10 and 12 years) to investigate preferences with respect to both their dimensions and potential durations. 15 Example of a hypothetical choice task used in the DCE design The sum of all possible dimension and duration levels yielded a total of more than 240 million potential choice sets; therefore, a subset of choice sets was generated by maximizing D‐efficiency using Ngene software. 16 D‐efficiency is used to achieve optimal efficiency in DCEs by maximizing the information gained from a subset of choice sets while minimizing error. 17 The design included 120 choice sets based on D‐efficient design using the modified Fedorov algorithm. 18 Each respondent completed 15 choice sets for the survey. This included 13 choice sets randomly selected for each respondent from the DCE design of 120 choice sets. Two more choice sets were included as quality check measures. A repeated choice set was presented with one of the 13 choice sets being repeated in the exercise. A dominated choice set was where one of the scenarios had unambiguously worse levels for each attribute of the EQ‐5D‐5L than the other scenario. 19 Study population, setting & study size Between July and September 2019, adult patients with haemophilia (PwH), caregivers of PwH and a representative sample of the English‐speaking US general population (GP) in terms of age, gender and region were recruited via a market research panel. We recruited 250 PwH and 2000 general population respondents. 20 The target sample size represented a trade‐off between the desire for accurate estimates (one that reflects the average preferences for PwH) and the practical consideration that haemophilia is a rare disease. The survey was conducted via a secure online portal. We first conducted a pilot study to evaluate participant comprehension of the choice set tasks and the survey functionality. The pilot study included a 10% subset of 200 GP, 25 PwH and 25 caregivers. We also assessed the duration attribute in the DCETTO design to compare shorter (3, 5, 7, 10 and 12 years) and longer durations (10, 12, 15, 17 and 20 years) using the reliability tests of repeated and dominated scenarios. Shorter duration performed better and was selected for the research. Upon entering the portal, participants were introduced to the study and had to provide informed consent in order to continue. Baseline demographic data were then collected before the participants were presented with the DCETTO tasks. Informed consent was obtained from all participants, and the study was conducted in accordance with Declaration of Helsinki. Institutional Review Board (IRB) exemption was determined by the New England IRB. Between July and September 2019, adult patients with haemophilia (PwH), caregivers of PwH and a representative sample of the English‐speaking US general population (GP) in terms of age, gender and region were recruited via a market research panel. We recruited 250 PwH and 2000 general population respondents. 20 The target sample size represented a trade‐off between the desire for accurate estimates (one that reflects the average preferences for PwH) and the practical consideration that haemophilia is a rare disease. The survey was conducted via a secure online portal. We first conducted a pilot study to evaluate participant comprehension of the choice set tasks and the survey functionality. The pilot study included a 10% subset of 200 GP, 25 PwH and 25 caregivers. We also assessed the duration attribute in the DCETTO design to compare shorter (3, 5, 7, 10 and 12 years) and longer durations (10, 12, 15, 17 and 20 years) using the reliability tests of repeated and dominated scenarios. Shorter duration performed better and was selected for the research. Upon entering the portal, participants were introduced to the study and had to provide informed consent in order to continue. Baseline demographic data were then collected before the participants were presented with the DCETTO tasks. Informed consent was obtained from all participants, and the study was conducted in accordance with Declaration of Helsinki. Institutional Review Board (IRB) exemption was determined by the New England IRB. Analysis The primary analyses compared responses from PwH and the GP. We also collected responses from caregivers of PwH; however, many caregivers had haemophilia themselves and thus were not included in the analyses to avoid confounding. To reduce uncertainty around the heterogeneity between cohorts, only male PwH were included and the age distribution was matched between the GP and PwH. Age matching was achieved by random sampling of the GP to match the PwH proportions by age group and was repeated five times to increase the robustness of resampling for multiple subgroups. The results from the resampling were then aggregated to generate mean values from random sampling responses. Data were then modelled using conditional‐logit regressions to produce an adjusted value set for PwH and the GP. 12 The utility value sets were examined for inconsistencies and ordering was imposed for transitivity. Therefore, any preceding attributes were equal than or less than the current attribute, for example if level 2 of an attribute was greater than the utility of level 1, the two levels would be merged. This method has been commonly used to ensure the applicability of the DCE results. 21 Models for PwH and the GP were compared to test whether the models were on the same scale using a likelihood ratio statistic (LR). An LR test posed the null hypothesis that the PwH and GP models had preference homogeneity. If the LR statistic was above a critical value (calculated as the difference between the number of parameters in both models), then the null hypothesis was rejected, and the difference was considered statistically significant. From the adjusted value sets generated for PwH and GP, we estimated values for every possible EQ‐5D‐5L state. Two utilities for each population (PwH and GP) were compared for the average utility difference across health states and the frequency of the average utility were valued higher or lower. Analyses were also conducted for subgroups including by haemophilia type (A and B) and severity (severe and moderate; the sample size for patients with mild haemophilia was too small for robust analyses). All analyses were performed using Stata 16 (StataCorp). The primary analyses compared responses from PwH and the GP. We also collected responses from caregivers of PwH; however, many caregivers had haemophilia themselves and thus were not included in the analyses to avoid confounding. To reduce uncertainty around the heterogeneity between cohorts, only male PwH were included and the age distribution was matched between the GP and PwH. Age matching was achieved by random sampling of the GP to match the PwH proportions by age group and was repeated five times to increase the robustness of resampling for multiple subgroups. The results from the resampling were then aggregated to generate mean values from random sampling responses. Data were then modelled using conditional‐logit regressions to produce an adjusted value set for PwH and the GP. 12 The utility value sets were examined for inconsistencies and ordering was imposed for transitivity. Therefore, any preceding attributes were equal than or less than the current attribute, for example if level 2 of an attribute was greater than the utility of level 1, the two levels would be merged. This method has been commonly used to ensure the applicability of the DCE results. 21 Models for PwH and the GP were compared to test whether the models were on the same scale using a likelihood ratio statistic (LR). An LR test posed the null hypothesis that the PwH and GP models had preference homogeneity. If the LR statistic was above a critical value (calculated as the difference between the number of parameters in both models), then the null hypothesis was rejected, and the difference was considered statistically significant. From the adjusted value sets generated for PwH and GP, we estimated values for every possible EQ‐5D‐5L state. Two utilities for each population (PwH and GP) were compared for the average utility difference across health states and the frequency of the average utility were valued higher or lower. Analyses were also conducted for subgroups including by haemophilia type (A and B) and severity (severe and moderate; the sample size for patients with mild haemophilia was too small for robust analyses). All analyses were performed using Stata 16 (StataCorp). Study design: In this study, a DCETTO was designed to present individuals with hypothetical health states (known as ‘choice sets’) and ask them to choose among a number of alternatives (or ‘attributes’). The choice sets presented each of the five dimensions of the preference‐based measure EQ‐5D‐5L and one duration attribute, as described in Table 1. Each dimension (mobility, self‐care, usual activities, pain/discomfort and anxiety/depression) had five ordinal levels of severity (none, slight, moderate, severe, extreme/unable). The duration attribute contained five levels (3, 5, 7, 10 and 12 years) to investigate preferences with respect to both their dimensions and potential durations. 15 Example of a hypothetical choice task used in the DCE design The sum of all possible dimension and duration levels yielded a total of more than 240 million potential choice sets; therefore, a subset of choice sets was generated by maximizing D‐efficiency using Ngene software. 16 D‐efficiency is used to achieve optimal efficiency in DCEs by maximizing the information gained from a subset of choice sets while minimizing error. 17 The design included 120 choice sets based on D‐efficient design using the modified Fedorov algorithm. 18 Each respondent completed 15 choice sets for the survey. This included 13 choice sets randomly selected for each respondent from the DCE design of 120 choice sets. Two more choice sets were included as quality check measures. A repeated choice set was presented with one of the 13 choice sets being repeated in the exercise. A dominated choice set was where one of the scenarios had unambiguously worse levels for each attribute of the EQ‐5D‐5L than the other scenario. 19 Study population, setting & study size: Between July and September 2019, adult patients with haemophilia (PwH), caregivers of PwH and a representative sample of the English‐speaking US general population (GP) in terms of age, gender and region were recruited via a market research panel. We recruited 250 PwH and 2000 general population respondents. 20 The target sample size represented a trade‐off between the desire for accurate estimates (one that reflects the average preferences for PwH) and the practical consideration that haemophilia is a rare disease. The survey was conducted via a secure online portal. We first conducted a pilot study to evaluate participant comprehension of the choice set tasks and the survey functionality. The pilot study included a 10% subset of 200 GP, 25 PwH and 25 caregivers. We also assessed the duration attribute in the DCETTO design to compare shorter (3, 5, 7, 10 and 12 years) and longer durations (10, 12, 15, 17 and 20 years) using the reliability tests of repeated and dominated scenarios. Shorter duration performed better and was selected for the research. Upon entering the portal, participants were introduced to the study and had to provide informed consent in order to continue. Baseline demographic data were then collected before the participants were presented with the DCETTO tasks. Informed consent was obtained from all participants, and the study was conducted in accordance with Declaration of Helsinki. Institutional Review Board (IRB) exemption was determined by the New England IRB. Analysis: The primary analyses compared responses from PwH and the GP. We also collected responses from caregivers of PwH; however, many caregivers had haemophilia themselves and thus were not included in the analyses to avoid confounding. To reduce uncertainty around the heterogeneity between cohorts, only male PwH were included and the age distribution was matched between the GP and PwH. Age matching was achieved by random sampling of the GP to match the PwH proportions by age group and was repeated five times to increase the robustness of resampling for multiple subgroups. The results from the resampling were then aggregated to generate mean values from random sampling responses. Data were then modelled using conditional‐logit regressions to produce an adjusted value set for PwH and the GP. 12 The utility value sets were examined for inconsistencies and ordering was imposed for transitivity. Therefore, any preceding attributes were equal than or less than the current attribute, for example if level 2 of an attribute was greater than the utility of level 1, the two levels would be merged. This method has been commonly used to ensure the applicability of the DCE results. 21 Models for PwH and the GP were compared to test whether the models were on the same scale using a likelihood ratio statistic (LR). An LR test posed the null hypothesis that the PwH and GP models had preference homogeneity. If the LR statistic was above a critical value (calculated as the difference between the number of parameters in both models), then the null hypothesis was rejected, and the difference was considered statistically significant. From the adjusted value sets generated for PwH and GP, we estimated values for every possible EQ‐5D‐5L state. Two utilities for each population (PwH and GP) were compared for the average utility difference across health states and the frequency of the average utility were valued higher or lower. Analyses were also conducted for subgroups including by haemophilia type (A and B) and severity (severe and moderate; the sample size for patients with mild haemophilia was too small for robust analyses). All analyses were performed using Stata 16 (StataCorp). RESULTS: Sample Of the 2183 participants that completed the DCE, 856 (39.2%; 106 [4.9%] PwH and 750 [34.4%] GP) respondents indicated inconsistencies based on the reliability tests and were excluded from the analyses. A total of 1327 participants remained (1150 GP and 177 PwH, including 118 PwHA and 59 PwHB). Demographic characteristics were generally similar between PwH and the GP except that more patients from the GP than PwH were ≥55 years of age (31% vs 11%; p < .001), and more PwH were men (77% vs 49%; p < .001; Table 2); therefore, sex and age matching were applied for the analyses. Characteristics for participants included in the analysis p‐Value (PwH vs GP) Abbreviations: GP, General Population; N, number; PwH, People with Haemophilia; SD, standard deviation; Y, year. Of the 2183 participants that completed the DCE, 856 (39.2%; 106 [4.9%] PwH and 750 [34.4%] GP) respondents indicated inconsistencies based on the reliability tests and were excluded from the analyses. A total of 1327 participants remained (1150 GP and 177 PwH, including 118 PwHA and 59 PwHB). Demographic characteristics were generally similar between PwH and the GP except that more patients from the GP than PwH were ≥55 years of age (31% vs 11%; p < .001), and more PwH were men (77% vs 49%; p < .001; Table 2); therefore, sex and age matching were applied for the analyses. Characteristics for participants included in the analysis p‐Value (PwH vs GP) Abbreviations: GP, General Population; N, number; PwH, People with Haemophilia; SD, standard deviation; Y, year. Comparison of PwH and the GP PwH were found to provide higher values for 98.9% of EQ‐5D‐5L states compared to the GP (Table 3). Figure 1 presents the relative utility values, which illustrates that PwH value states were consistently higher than GP value states with a utility value of 0.9 or less. The mean HSV difference between PwH and the GP was 0.17 across all possible EQ‐5D‐5L states. An approximation of the minimal clinically important difference (MCID) for the EQ‐5D‐5L based on EQ‐5D‐3L values was used as EQ‐5D‐5L US MCIDs are not available; therefore, the MCID is reported as 0.07 22 indicating that the HSV difference between PwH and the GP was clinically meaningful. LR tests also showed that the two utility scales differed significantly between responses from PwH and the GP (LR = 36.34; p < .01). Comparative EQ‐5D‐5L value sets by haemophilia type and severity. Abbreviations: EQ‐5D‐5L, EuroQol‐5‐dimensions 5‐level; GP, general population; IQR, interquartile range; N, number; PwHA, people with haemophilia A; PwHB, people with haemophilia B; PwMH, people with moderate haemophilia; PwSH, people with severe haemophilia; SD, standard deviation; Y, year. Graphical representation of observed utility of PwH compared to actual utility. Abbreviations: PwH, people with haemophilia. Note: Actual utility describes the utility that was observed by the general population. Observed utility describes the corresponding utility that was elicited from PwH. Based on utility decrements derived from the DCETTO for the EQ‐5D‐5L across 3125 states, corresponding health state utility values were derived. Using 0.05 utility intervals, based on health state utility values derived from the general population, corresponding values derived from PwH were plotted. For each 0.05 interval and utility value reported by the general population, the corresponding utility value weighted average was described EQ‐5D‐5L individual attribute mean utility values are illustrated in Figure 2. The results indicated that mobility and self‐care attributes were associated with a greater impact on QoL for PwH across all five levels of severity. Graphical representation of the EQ‐5D‐5L coefficients for PwH and GP. Abbreviations: MO, Mobility; SC, Self‐Care; UA, Usual Activities; PD, Pain and Discomfort; AD, Anxiety and Depression; PwH; people with haemophilia. Notes: By domain, the levels of responses range from no problems to severe problems (1–5) PwH were found to provide higher values for 98.9% of EQ‐5D‐5L states compared to the GP (Table 3). Figure 1 presents the relative utility values, which illustrates that PwH value states were consistently higher than GP value states with a utility value of 0.9 or less. The mean HSV difference between PwH and the GP was 0.17 across all possible EQ‐5D‐5L states. An approximation of the minimal clinically important difference (MCID) for the EQ‐5D‐5L based on EQ‐5D‐3L values was used as EQ‐5D‐5L US MCIDs are not available; therefore, the MCID is reported as 0.07 22 indicating that the HSV difference between PwH and the GP was clinically meaningful. LR tests also showed that the two utility scales differed significantly between responses from PwH and the GP (LR = 36.34; p < .01). Comparative EQ‐5D‐5L value sets by haemophilia type and severity. Abbreviations: EQ‐5D‐5L, EuroQol‐5‐dimensions 5‐level; GP, general population; IQR, interquartile range; N, number; PwHA, people with haemophilia A; PwHB, people with haemophilia B; PwMH, people with moderate haemophilia; PwSH, people with severe haemophilia; SD, standard deviation; Y, year. Graphical representation of observed utility of PwH compared to actual utility. Abbreviations: PwH, people with haemophilia. Note: Actual utility describes the utility that was observed by the general population. Observed utility describes the corresponding utility that was elicited from PwH. Based on utility decrements derived from the DCETTO for the EQ‐5D‐5L across 3125 states, corresponding health state utility values were derived. Using 0.05 utility intervals, based on health state utility values derived from the general population, corresponding values derived from PwH were plotted. For each 0.05 interval and utility value reported by the general population, the corresponding utility value weighted average was described EQ‐5D‐5L individual attribute mean utility values are illustrated in Figure 2. The results indicated that mobility and self‐care attributes were associated with a greater impact on QoL for PwH across all five levels of severity. Graphical representation of the EQ‐5D‐5L coefficients for PwH and GP. Abbreviations: MO, Mobility; SC, Self‐Care; UA, Usual Activities; PD, Pain and Discomfort; AD, Anxiety and Depression; PwH; people with haemophilia. Notes: By domain, the levels of responses range from no problems to severe problems (1–5) Subgroup analysis of haemophilia type and severity For PwHA and PwHB, utility valuations were found to be higher for 96.5% and 97.4% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S1 presents the relative utility values of PwHA and PwHB compared to GP. The mean HSV difference was 0.17 (PwHA) and 0.21 (PwHB) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwHA and the GP (LR = 33.08; p < .001) and PwHB and GP (LR = 30.44; p < .01). For people with severe haemophilia (PwSH) and people with moderate haemophilia (PwMH), utility valuations were found to be higher for 95.4% and 98.9% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S2 presents the relative utility values of PwSH and PwMH compared to the GP. The mean HSV difference was 0.14 (PwSH) and 0.17 (PwMH) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwSH and the GP (LR = 31.32; p < .01); however, this was not seen for PwMH and GP (LR = 11.77; p = .4645). For PwHA and PwHB, utility valuations were found to be higher for 96.5% and 97.4% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S1 presents the relative utility values of PwHA and PwHB compared to GP. The mean HSV difference was 0.17 (PwHA) and 0.21 (PwHB) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwHA and the GP (LR = 33.08; p < .001) and PwHB and GP (LR = 30.44; p < .01). For people with severe haemophilia (PwSH) and people with moderate haemophilia (PwMH), utility valuations were found to be higher for 95.4% and 98.9% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S2 presents the relative utility values of PwSH and PwMH compared to the GP. The mean HSV difference was 0.14 (PwSH) and 0.17 (PwMH) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwSH and the GP (LR = 31.32; p < .01); however, this was not seen for PwMH and GP (LR = 11.77; p = .4645). Sample: Of the 2183 participants that completed the DCE, 856 (39.2%; 106 [4.9%] PwH and 750 [34.4%] GP) respondents indicated inconsistencies based on the reliability tests and were excluded from the analyses. A total of 1327 participants remained (1150 GP and 177 PwH, including 118 PwHA and 59 PwHB). Demographic characteristics were generally similar between PwH and the GP except that more patients from the GP than PwH were ≥55 years of age (31% vs 11%; p < .001), and more PwH were men (77% vs 49%; p < .001; Table 2); therefore, sex and age matching were applied for the analyses. Characteristics for participants included in the analysis p‐Value (PwH vs GP) Abbreviations: GP, General Population; N, number; PwH, People with Haemophilia; SD, standard deviation; Y, year. Comparison of PwH and the GP: PwH were found to provide higher values for 98.9% of EQ‐5D‐5L states compared to the GP (Table 3). Figure 1 presents the relative utility values, which illustrates that PwH value states were consistently higher than GP value states with a utility value of 0.9 or less. The mean HSV difference between PwH and the GP was 0.17 across all possible EQ‐5D‐5L states. An approximation of the minimal clinically important difference (MCID) for the EQ‐5D‐5L based on EQ‐5D‐3L values was used as EQ‐5D‐5L US MCIDs are not available; therefore, the MCID is reported as 0.07 22 indicating that the HSV difference between PwH and the GP was clinically meaningful. LR tests also showed that the two utility scales differed significantly between responses from PwH and the GP (LR = 36.34; p < .01). Comparative EQ‐5D‐5L value sets by haemophilia type and severity. Abbreviations: EQ‐5D‐5L, EuroQol‐5‐dimensions 5‐level; GP, general population; IQR, interquartile range; N, number; PwHA, people with haemophilia A; PwHB, people with haemophilia B; PwMH, people with moderate haemophilia; PwSH, people with severe haemophilia; SD, standard deviation; Y, year. Graphical representation of observed utility of PwH compared to actual utility. Abbreviations: PwH, people with haemophilia. Note: Actual utility describes the utility that was observed by the general population. Observed utility describes the corresponding utility that was elicited from PwH. Based on utility decrements derived from the DCETTO for the EQ‐5D‐5L across 3125 states, corresponding health state utility values were derived. Using 0.05 utility intervals, based on health state utility values derived from the general population, corresponding values derived from PwH were plotted. For each 0.05 interval and utility value reported by the general population, the corresponding utility value weighted average was described EQ‐5D‐5L individual attribute mean utility values are illustrated in Figure 2. The results indicated that mobility and self‐care attributes were associated with a greater impact on QoL for PwH across all five levels of severity. Graphical representation of the EQ‐5D‐5L coefficients for PwH and GP. Abbreviations: MO, Mobility; SC, Self‐Care; UA, Usual Activities; PD, Pain and Discomfort; AD, Anxiety and Depression; PwH; people with haemophilia. Notes: By domain, the levels of responses range from no problems to severe problems (1–5) Subgroup analysis of haemophilia type and severity: For PwHA and PwHB, utility valuations were found to be higher for 96.5% and 97.4% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S1 presents the relative utility values of PwHA and PwHB compared to GP. The mean HSV difference was 0.17 (PwHA) and 0.21 (PwHB) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwHA and the GP (LR = 33.08; p < .001) and PwHB and GP (LR = 30.44; p < .01). For people with severe haemophilia (PwSH) and people with moderate haemophilia (PwMH), utility valuations were found to be higher for 95.4% and 98.9% of EQ‐5D‐5L states compared to valuations by the GP (Table 3), respectively. Figure S2 presents the relative utility values of PwSH and PwMH compared to the GP. The mean HSV difference was 0.14 (PwSH) and 0.17 (PwMH) relative to the GP, both exceeding the MCID of the EQ‐5D‐5L. LR tests also showed that the utility scales differed significantly between responses from PwSH and the GP (LR = 31.32; p < .01); however, this was not seen for PwMH and GP (LR = 11.77; p = .4645). DISCUSSION: Our study revealed evidence of the disability paradox in haemophilia patient‐reported outcomes, where people with haemophilia reported significantly higher health state valuations than otherwise healthy peers from the general US population. This difference was both statistically significant and clinically meaningful, with consistent results across haemophilia A and B as well as severe and moderate patients. These findings should be considered in the design and interpretation of patient‐reported outcomes research in haemophilia. Our findings are consistent with studies of disease state adaptation reported in haemophilia and other chronic conditions, where patients have reported higher health states than otherwise healthy peers. 23 , 24 , 25 A recent patient preference study by Carlsson et al. (2017) 25 showed that patients with haemophilia A consistently rated their health states higher than their peers in the GP (score range, 0.67–0.73 for PwHA vs 0.54–0.60 for the GP). Our study indicated a disability paradox in PwH using a validated, widely used QoL instrument, the EQ‐5D‐5L. Our application of the composite DCETTO method to include consideration of the duration of health states offers a robust approach not only to test for the existence of the disability paradox, but also to quantify its impact. Gandhi and colleagues (2017) 23 observed that patients with heart disease or cancer reported similar health state utility values as the general population when adjusted for sociodemographic characteristics. Peeters and Stiggelbout (2010) 24 conducted a meta‐analysis showing that patients across a variety of conditions generally provided higher health state valuations than ‘non‐patients’ from the GP. Alternatively, similar health state valuations have been reported between patients with epilepsy and healthy peers, and worse ratings for those with dementia compared to the GP. 26 , 27 In the context of this broader heterogeneity, our findings support the use of haemophilia‐specific health utility assessments for the accurate design and interpretation of patient‐centric research. Our work has implications for clinical research assessments and for broader population health management and policy decisions. In the pursuit of greater health equity for people with haemophilia, patient‐centric outcome measures are used more often and with greater consideration. We observed and quantified a disability paradox in PwH‐rated health states using the EQ‐5D‐5L. The frequent use of this instrument in clinical research and health technology assessments emphasizes the likelihood that disease burden is underestimated and treatment effect is under‐valued when the disease state adaptation is not factored into totality of treatment benefits and health technology evaluations. As novel treatment options such as gene therapy emerge with the potential to approach a functional cure, 28 , 29 the characterization of patient‐centric value should account for the ‘true’ burden of haemophilia and relative improvements offered by new therapeutic strategies. This study should also be considered in the context of certain strengths and limitations. We utilized the validated EQ‐5D‐5L for patient‐reported outcomes, which should offer some generalizability to future research efforts using the same instrument. The DCE and time trade‐off methods are common in health services research. Since the DCETTO was completed online, without an in‐person facilitator to guide the respondent through the activity, there may have been some impact on the accuracy of responses if a participant did not fully understand a given question 30 ; however, we sought to account for this potential limitation by removing inconsistent responses in the analysis. Due to haemophilia being a rare condition, we were limited by sample size in our subgroup analysis; future research could address these subgroups with a larger sample size to see if the findings hold true. Unobserved patient characteristics and contextual factors may have contributed to the heterogeneity of reported preferences. Further research may account for additional observable characteristics that may differ between cohorts, such as the presence of comorbidities or additional sociodemographic considerations. CONCLUSION: Our findings indicated the presence of a disability paradox in the population preferences for haemophilia. Clinical and health technology assessments should account for health state‐derived QoL evaluations specific to people with haemophilia. The unmet needs identified in current standards of care are likely to underestimate the burden of haemophilia on patients and caregivers, and standard QoL instruments that do not account for the disability paradox may not be accurate for clinical assessments and health policy decisions. CONFLICT OF INTEREST: JOH, APM and GM work for HCD Economics who were funded by uniQure Inc. to undertake this research. EKS and NL are employees of uniQure Inc. DN, MW, BM, TB, MS and BOM have no interests to declare. AUTHOR CONTRIBUTIONS: APM and JOH contributed to the concept and design. APM, JOH and GM performed the research. APM, JOH, GM, BM, NL and EKS analysed the data. All authors contributed to the interpreting the data and the writing of the paper. Supporting information: Fig S1‐2 Click here for additional data file.
Background: People with inherited and long-term conditions such as haemophilia have been shown to adapt to their levels of disability, often reporting better quality of life (QoL) than expected from the general population (the disability paradox). Methods: We conducted a discrete choice experiment including duration to capture valuations of health states based on patient-reported preferences. Participants indicated their preferences for hypothetical health states using the EQ-5D-5L, where each participant completed 15 of the 120 choice tasks. Response inconsistencies were evaluated with dominated and repeated scenarios. Conditional-logit regressions with random sampling of the general population responses were used to match the sample of patients with haemophilia. We compared model estimates and derived preferences associated with EQ-5D-5L health states. Results: After removing respondents with response inconsistencies, 1327/2138 (62%) participants remained (177/283 haemophilia; 1150/1900 general population). Patients with haemophilia indicated higher preference value for 99% of EQ-5D-5L health states compared to the general population (when matched on age and gender). The mean health state valuation difference of 0.17 indicated a meaningful difference compared to a minimal clinically important difference threshold of 0.07. Results were consistent by haemophilia type and severity. Conclusions: Our findings indicated the presence of a disability paradox among patients with haemophilia, who reported higher health states than the general population, suggesting the impact of haemophilia may be underestimated if general population value sets are used.
BACKGROUND: Haemophilia is a lifelong genetic disorder associated with significant clinical burden driven by haemarthrosis, joint damage and pain, with subsequent negative impact on patients’ mental health, daily functioning and overall quality of life (QoL). 1 , 2 The substantial reductions in morbidity and mortality afforded by modern therapeutic advances have elevated the aims of haemophilia treatment to realize a functional cure and to bring health equity to patients with this persistent, lifelong condition. 3 As such, the landmark improvements in clinical effectiveness have increased the importance of patient‐centric outcomes related to well‐being, functionality, and QoL. 4 , 5 , 6 , 7 Measuring the patient‐reported impact of conditions with lasting disabilities, such as haemophilia, may include a counterintuitive phenomenon known as the ‘disability paradox’, where patients report good or excellent QoL while observers characterize the patients’ daily struggles much less favourably. 8 This disease state adaptation is believed to derive from a re‐prioritization of values, a recalibration of essential needs and/or a re‐conceptualization of central beliefs as patients adapt to the effects of their condition. 8 , 9 Importantly, this can cause an underestimation of disease burden and an under‐valuation of treatment effects in patient‐reported outcomes research. The QoL of an individual can be derived from preference‐based measures of health such as the EuroQoL 5‐Dimensions (EQ‐5D). 10 The EQ‐5D includes five domains: mobility, self‐care, usual activities, pain/discomfort and anxiety/depression. Once the questionnaire is completed, a health state valuation (HSVs) can be generated using a scoring algorithm designed to be a cardinal index of utility anchored on full health (1) and death (0). Values generated provide a ‘utility value set’ for each state described by the classification system. 11 Discrete choice experiments (DCE) are widely used to estimate HSVs. DCEs are an ordinal choice‐based method, which assume that people generally choose the option that provides them with the highest level of utility. 12 In DCEs, respondents are typically asked to choose between choice tasks consisting of health scenarios. Each scenario consists of attributes and severity levels for each attribute, and as such, DCE methods may be applied to generate utility value sets. DCEs incorporating an attribute for duration (time trade‐off; DCETTO) can be used to compare value sets by different respondent groups. It has been suggested that patients with haemophilia rate their health states higher than the general population in some scenarios, but this has not been thoroughly explored or quantified. 13 , 14 We conducted a DCETTO using the EQ‐5D‐5L to investigate the potential of a disability paradox among patients with haemophilia. Using discrete choice methods allowed us to assess self‐reported preferences for incremental health state scenarios that can be compared between patients and otherwise healthy peers to characterize differences attributable to disease. 12 We also quantified differences in reported health state valuations between patients with haemophilia and a representative sample of the US general population. Our aim was to identify and characterize the need for adjustments in the evaluation of patient‐reported burden of haemophilia and effects of treatment on functionality and QoL. CONCLUSION: Our findings indicated the presence of a disability paradox in the population preferences for haemophilia. Clinical and health technology assessments should account for health state‐derived QoL evaluations specific to people with haemophilia. The unmet needs identified in current standards of care are likely to underestimate the burden of haemophilia on patients and caregivers, and standard QoL instruments that do not account for the disability paradox may not be accurate for clinical assessments and health policy decisions.
Background: People with inherited and long-term conditions such as haemophilia have been shown to adapt to their levels of disability, often reporting better quality of life (QoL) than expected from the general population (the disability paradox). Methods: We conducted a discrete choice experiment including duration to capture valuations of health states based on patient-reported preferences. Participants indicated their preferences for hypothetical health states using the EQ-5D-5L, where each participant completed 15 of the 120 choice tasks. Response inconsistencies were evaluated with dominated and repeated scenarios. Conditional-logit regressions with random sampling of the general population responses were used to match the sample of patients with haemophilia. We compared model estimates and derived preferences associated with EQ-5D-5L health states. Results: After removing respondents with response inconsistencies, 1327/2138 (62%) participants remained (177/283 haemophilia; 1150/1900 general population). Patients with haemophilia indicated higher preference value for 99% of EQ-5D-5L health states compared to the general population (when matched on age and gender). The mean health state valuation difference of 0.17 indicated a meaningful difference compared to a minimal clinically important difference threshold of 0.07. Results were consistent by haemophilia type and severity. Conclusions: Our findings indicated the presence of a disability paradox among patients with haemophilia, who reported higher health states than the general population, suggesting the impact of haemophilia may be underestimated if general population value sets are used.
7,275
271
[ 324, 278, 395, 181, 445, 271, 49 ]
14
[ "pwh", "gp", "utility", "haemophilia", "5d", "eq 5d", "eq", "eq 5d 5l", "5l", "5d 5l" ]
[ "haemophilia specific health", "disabilities haemophilia include", "haemophilia chronic conditions", "paradox patients haemophilia", "disability paradox haemophilia" ]
[CONTENT] cost‐effectiveness | haemophilia | health equity | patient‐reported outcome measurement | quality of life [SUMMARY]
[CONTENT] cost‐effectiveness | haemophilia | health equity | patient‐reported outcome measurement | quality of life [SUMMARY]
[CONTENT] cost‐effectiveness | haemophilia | health equity | patient‐reported outcome measurement | quality of life [SUMMARY]
[CONTENT] cost‐effectiveness | haemophilia | health equity | patient‐reported outcome measurement | quality of life [SUMMARY]
[CONTENT] cost‐effectiveness | haemophilia | health equity | patient‐reported outcome measurement | quality of life [SUMMARY]
[CONTENT] cost‐effectiveness | haemophilia | health equity | patient‐reported outcome measurement | quality of life [SUMMARY]
[CONTENT] Health Status | Hemophilia A | Humans | Patient Reported Outcome Measures | Quality of Life | Surveys and Questionnaires [SUMMARY]
[CONTENT] Health Status | Hemophilia A | Humans | Patient Reported Outcome Measures | Quality of Life | Surveys and Questionnaires [SUMMARY]
[CONTENT] Health Status | Hemophilia A | Humans | Patient Reported Outcome Measures | Quality of Life | Surveys and Questionnaires [SUMMARY]
[CONTENT] Health Status | Hemophilia A | Humans | Patient Reported Outcome Measures | Quality of Life | Surveys and Questionnaires [SUMMARY]
[CONTENT] Health Status | Hemophilia A | Humans | Patient Reported Outcome Measures | Quality of Life | Surveys and Questionnaires [SUMMARY]
[CONTENT] Health Status | Hemophilia A | Humans | Patient Reported Outcome Measures | Quality of Life | Surveys and Questionnaires [SUMMARY]
[CONTENT] haemophilia specific health | disabilities haemophilia include | haemophilia chronic conditions | paradox patients haemophilia | disability paradox haemophilia [SUMMARY]
[CONTENT] haemophilia specific health | disabilities haemophilia include | haemophilia chronic conditions | paradox patients haemophilia | disability paradox haemophilia [SUMMARY]
[CONTENT] haemophilia specific health | disabilities haemophilia include | haemophilia chronic conditions | paradox patients haemophilia | disability paradox haemophilia [SUMMARY]
[CONTENT] haemophilia specific health | disabilities haemophilia include | haemophilia chronic conditions | paradox patients haemophilia | disability paradox haemophilia [SUMMARY]
[CONTENT] haemophilia specific health | disabilities haemophilia include | haemophilia chronic conditions | paradox patients haemophilia | disability paradox haemophilia [SUMMARY]
[CONTENT] haemophilia specific health | disabilities haemophilia include | haemophilia chronic conditions | paradox patients haemophilia | disability paradox haemophilia [SUMMARY]
[CONTENT] pwh | gp | utility | haemophilia | 5d | eq 5d | eq | eq 5d 5l | 5l | 5d 5l [SUMMARY]
[CONTENT] pwh | gp | utility | haemophilia | 5d | eq 5d | eq | eq 5d 5l | 5l | 5d 5l [SUMMARY]
[CONTENT] pwh | gp | utility | haemophilia | 5d | eq 5d | eq | eq 5d 5l | 5l | 5d 5l [SUMMARY]
[CONTENT] pwh | gp | utility | haemophilia | 5d | eq 5d | eq | eq 5d 5l | 5l | 5d 5l [SUMMARY]
[CONTENT] pwh | gp | utility | haemophilia | 5d | eq 5d | eq | eq 5d 5l | 5l | 5d 5l [SUMMARY]
[CONTENT] pwh | gp | utility | haemophilia | 5d | eq 5d | eq | eq 5d 5l | 5l | 5d 5l [SUMMARY]
[CONTENT] patients | health | reported | patient | qol | haemophilia | effects | characterize | choice | state [SUMMARY]
[CONTENT] choice | choice sets | pwh | sets | gp | study | pwh gp | included | design | analyses [SUMMARY]
[CONTENT] utility | gp | pwh | eq | 5d | eq 5d | 5l | 5d 5l | eq 5d 5l | lr [SUMMARY]
[CONTENT] assessments | account | disability paradox | clinical | disability | paradox | health | haemophilia | qol | clinical health technology assessments [SUMMARY]
[CONTENT] pwh | gp | utility | choice | haemophilia | choice sets | eq | 5d | eq 5d | health [SUMMARY]
[CONTENT] pwh | gp | utility | choice | haemophilia | choice sets | eq | 5d | eq 5d | health [SUMMARY]
[CONTENT] haemophilia | QoL [SUMMARY]
[CONTENT] ||| 15 | 120 ||| ||| haemophilia ||| [SUMMARY]
[CONTENT] 1327/2138 | 62% | 177/283 | haemophilia | 1150/1900 ||| haemophilia | 99% ||| 0.17 | 0.07 ||| haemophilia [SUMMARY]
[CONTENT] haemophilia | haemophilia [SUMMARY]
[CONTENT] haemophilia | QoL ||| ||| 15 | 120 ||| ||| haemophilia ||| ||| ||| 1327/2138 | 62% | 177/283 | haemophilia | 1150/1900 ||| haemophilia | 99% ||| 0.17 | 0.07 ||| haemophilia ||| haemophilia | haemophilia [SUMMARY]
[CONTENT] haemophilia | QoL ||| ||| 15 | 120 ||| ||| haemophilia ||| ||| ||| 1327/2138 | 62% | 177/283 | haemophilia | 1150/1900 ||| haemophilia | 99% ||| 0.17 | 0.07 ||| haemophilia ||| haemophilia | haemophilia [SUMMARY]
Chronic Obstructive Pulmonary Disease (COPD) in Population Studies in Russia and Norway: Comparison of Prevalence, Awareness and Management.
34025121
Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality worldwide. Despite a high prevalence of smoking and respiratory symptoms, two recent population-based studies in Russia found a relatively low prevalence of obstructive lung function. Here, we investigated the prevalence of both obstructive lung disease and respiratory symptoms in a population-based study conducted in two Russian cities and compared the findings with a similar study from Norway conducted in the same time period.
BACKGROUND
The study population was a sub-sample of participants aged 40-69 years participating in the Know Your Heart (KYH) study in Russia in 2015-18 (n=1883) and in the 7th survey of the Tromsø Study (n=5271) carried out in Norway in 2015-16 (Tromsø 7) who participated in spirometry examinations. The main outcome was obstructive lung function (FEV1/FVC ratio< lower limit of normal on pre-bronchodilator spirometry examination) with and without respiratory symptoms (chronic cough and breathlessness). In those with obstructive lung function, awareness (known diagnosis) and management (use of medications, smoking cessation) were compared.
METHODS
The age-standardized prevalence of obstructive lung function was similar among men in both studies (KYH 11.0% vs Tromsø 7 9.8%, p=0.21) and higher in the Norwegian (9.4%) than Russian (6.8%) women (p=0.006). In contrast, the prevalence of obstructive lung function plus respiratory symptoms was higher in Russian men (KYH 8.3% vs Tromsø 7 4.7%, p<0.001) but similar in women (KYH 5.9% vs Tromsø 7 6.4%, p=0.18). There was a much higher prevalence of respiratory symptoms in Russian than Norwegian participants of both sexes regardless of presence of obstructive lung function.
RESULTS
The prevalence of respiratory symptoms was strikingly high among Russian participants but this was not explained by a higher burden of obstructive lung function on spirometry testing in comparison with Norwegian participants. Further work is needed to understand the reasons and health implications of this high prevalence of cough and breathlessness.
CONCLUSION
[ "Cross-Sectional Studies", "Female", "Forced Expiratory Volume", "Humans", "Male", "Norway", "Prevalence", "Pulmonary Disease, Chronic Obstructive", "Risk Factors", "Russia", "Spirometry" ]
8132463
Introduction
Despite recent declines, premature mortality remains a major public health concern in Russia.1 Respiratory diseases contribute substantially with Chronic Obstructive Pulmonary Disease (COPD) estimated as the 14th leading cause of death in Russia in 2016 while respiratory infection was the 6th leading cause of death.1 COPD is strongly related to cardiovascular disease (CVD)2,3 and in many patients with COPD cardiovascular disease is the underlying cause of death.4–6 In Russia, there is a high prevalence of smoking in men,7 which is a major risk factor for COPD. Occupational exposure to vapours, dust and fumes may also lead to increased risk among certain groups.8 It is important to quantify and understand the burden of COPD within Russia, particularly in a country with one of the highest rates of CVD mortality in the world.9 Four population-based surveys have found high levels of reporting of respiratory symptoms in the Russian general population10–13 but only two of these studies also included spirometry testing.11,13 In a cross-sectional survey of 7164 adults aged 18 or older living in 12 regions of Russia (2010–2011), spirometry was used to diagnose COPD among those who reported any respiratory symptoms or risk factors for chronic respiratory disease11. Chuchalin et al11 extrapolated results from spirometry testing in this study to estimate that the prevalence of symptomatic COPD (symptoms plus forced expiratory volume in 1 second (FEV1): Forced vital capacity (FVC) ratio<0.7) in the total study population was 15.3%. Estimates of airway obstruction from the earlier HAPIEE study (2002–2005) from 6875 men and women aged 45–69 years old in the city of Novosibirsk were even higher at 19.5% (23.5% in men and 16.0% in women) using a broader definition of airway obstruction on spirometry (FEV1/FVC ratio <0.7 or FEV1,<80%).14 However, a study of 2975 adults aged 35–70 living in North West Russia (2012–13) found a substantially lower prevalence of airway obstruction of 6.8% using a fixed FEV1:FVC ratio<0.7 and 4.8% using the Global Lung Initiative Lower Limit of Normal (GLI-LLN) cut off with a substantial sex difference (higher in men (9.6%) than women (4.8%)).13 This was consistent with estimates from pre-bronchodilator spirometry from a later study of 5899 adults aged 40–94 in the Russian region of Bashkortostan which found a prevalence of airway obstruction using LLN of 5.8% (6.8% using fixed cut point).15 These prevalence estimates are lower than might be expected given the high burden of smoking7 and self-reported respiratory symptoms10–13 in the Russian general population. In quantifying the prevalence and relative disease burden from COPD in Russia findings need to be compared in context with studies from other populations. However, making comparisons between population-based studies is complex. Estimated prevalence of COPD can vary widely depending on the criteria used for case definition.16,17 Prevalence of COPD in Norway, a neighbouring country to Russia with a different mortality and risk factor profile, shows considerable variation. Estimates from the BOLD study site in Bergen (2006) which used spirometry only found the prevalence was 11% using postbronchodilator fixed cut point among adults aged 52–60.18 Findings from the population-based HUNT-3 study in the county of Nord-Trøndelag (2006–2008) found a prevalence of 14.5% using a fixed cut point and 7.3% from LLN in adults aged over 40 on pre-bronchodilator spirometric assessment.19 Analyses of changes in COPD prevalence over time within the Tromsø Study in the municipality of Tromsø have shown COPD prevalences have been declining since 2001 in line with declines in smoking, with the most recent estimates from 2015–2016 of 9.7% in men and 10.0% in women aged 40–84 using LLN and 5.6% in both sexes when including respiratory symptoms within the definition.20 However, to compare estimated COPD prevalence from Russia with studies from other settings is difficult given differences in age range, COPD definition and time frames. Here we investigated prevalence of both obstructive lung disease and respiratory symptoms in a population-based study conducted in two Russian cities and compared the findings with a similar study from Norway conducted in the same time period using the same definitions of COPD for both studies. Among those with evidence of COPD, we compared levels of awareness and management (smoking cessation, use of pharmacological treatments) between the study populations.
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Discussion
In this study comparing prevalence of obstructive lung function between participants aged 40–69 years taking part in population-based studies in Russia and Norway we found no evidence for a difference in obstructive lung function in men, but higher prevalence of obstructive lung function in the Norwegian compared to Russian women, which was explained by differences in smoking history. In contrast, the prevalence of COPD defined as both obstructive lung function and respiratory symptoms was higher among both men and women in the Russian study. There was a strikingly high prevalence of respiratory symptoms among Russian participants both among those who had an obstructive lung function pattern on spirometry but also in participants without obstructive lung function, reflecting very different patterns of symptom reporting in the two populations. The age-standardized prevalence of obstructive lung function (pre-bronchodilator) among the Russian participants was 11.0% using the GLI-LLN normal definition in men and 6.8% in women. This is higher than the findings from pre-bronchodilator spirometry tests reported by Andreeva et al in the RESPECT study in North-West Russia (9.6% in men 4.8% in women)13 and the Ural (5.8% total population).15 The findings among the Tromsø Study participants were also higher than estimates from the HUNT study from central Norway in 2006–2008 (7.3%).19 Prevalences using a fixed cut point rather than LLN were more similar to a previous study from Novosibirsk from 2002–5 which found 19.5% (23.5% in men and 16.0% in women) using a broader definition of airway obstruction on spirometry (FEV1/FVC ratio <0.7 or FEV1,<80%).14 In this study, we did not find any evidence for a difference in the prevalence of obstructive lung function between men in the Russian and Norwegian studies. This is surprising given historically very high smoking prevalence among Russian men.7 Despite recent declines in smoking in Russia,28 we did find here that the prevalence of current smoking and pack-year history was higher among the Russian than the Norwegian men. However, there was also a high prevalence of ex-smokers in the Norwegian sample therefore the current lung function damage in this sample could be attributable to higher levels of smoking in Norway in the past. There was no statistical evidence for a higher burden of airway obstruction in the Russian men, although the actual prevalence was slightly higher in the older ages group (60–69 years). The lower than anticipated estimates of obstructive lung function in Russian men found here and in previous studies are difficult to interpret but given the very high premature CVD mortality in Russian men in this age range, differential survival may play a role. There was no evidence for an association with COPD and self-report of MI or stroke in this study in keeping with this, however it is important to note our measure was based on self-reported disease only which could have been affected by measurement error, there was a small number of cases and we did not include a detailed investigation of the relationships with all CVD outcomes. The high burden of CVD mortality in Russia makes investigation of cardiovascular and respiratory co-morbidity in this population an important area to investigate in more depth. Prospective studies to investigate the incidence of COPD are also needed. In contrast to findings from spirometry testing, there were striking differences between the Russian and Norwegian participants with regards to reporting of symptoms. The high burden of respiratory symptoms in the Russian study population is important given increasing evidence that respiratory symptoms among smokers are associated with poorer outcomes including a higher rate of respiratory infections, impaired exercise capacity, airway thickening, and poorer quality of life even in the absence of obstructive lung function on spirometry.29,30 In a prospective study of 596 smokers and former smokers aged 70–79 years mortality was similar in those with dyspnoea but no obstructive lung function compared to those with obstructive lung function without dyspnoea.31 Several previous studies have found the prevalence of reported respiratory symptoms is very high in Russia consistent with the levels of breathlessness and chronic cough found here.10–13 Only two of these studies also included findings from spirometry. In the study by Chuchalin et al spirometry was only conducted in those who reported either respiratory symptoms or risk factors, of whom 21.8% also had airway obstruction.11 Andreeva et al reported on data from both lung function testing and respiratory symptoms and found that the positive predictive value of respiratory symptoms for identifying obstructive lung function was low (8%)13 which was similar to findings in this study in both Russian (10%) and Norwegian participants (14%). Here we also found a high prevalence of respiratory symptoms in the Russian study population in those without obstructive lung function suggesting there are other explanations aside from COPD per se for high burden of respiratory symptoms found here and in previous studies in Russia. The symptoms considered here (cough and breathlessness) are non-specific and may be caused by many factors including both other respiratory diseases (for instance lower respiratory tract infection was the 6th and tuberculosis the 18th leading cause of death in Russia in 20161) and non-respiratory causes. For example, the differences in levels of breathlessness in the population may be related to anxiety, physical fitness, levels of obesity or other co-morbidities in particular heart failure. Differences in air pollution may also play an important role as well as possible cultural differences in the interpretation or perception of symptoms. The lower levels of use of medications found here among the Russian participants with obstructive lung function could also be a factor with differences in management influencing levels of symptom control. Due to the cross-sectional nature of the data, we could not investigate this hypothesis here due to strong possibility of confounding by indication (those with symptoms were more likely to receive medication due to increased need). The presence of respiratory symptoms in those with obstructive lung function was important when comparing awareness and management of COPD between the two studies. Among those with obstructive lung disease, respiratory symptoms were associated in a dose-response manner with higher awareness of disease, smoking and among the Norwegian participants the use of medications for management of COPD. The relatively large asymptomatic group of Norwegian participants with obstructive lung disease as defined by spirometry were less likely to report a diagnosis or any pharmacological treatment. However, higher levels of awareness among the Russian participants did not translate into correspondingly better pharmacological management as levels of pharmacological treatment were low while many participants continued to smoke. Smoking cessation is a key part of the management of COPD. The prevalence of smoking in those with obstructive lung function was particularly high in the Russian men (59% current smokers) compared to approximately 30% in the Norwegian participants and Russian women. In the KYH study, some additional questions about smoking cessation were asked to smokers. While the majority of the Russian participants who had both obstructive lung function and respiratory symptoms had been advised by a doctor to stop smoking, only 8% of this high-risk group reported they had been offered assistance to stop. Increasing the availability of smoking cessation treatments could have a substantial benefit in reducing the burden from COPD and other smoking-related disease. This study has several limitations which should be considered on interpreting the findings: First, here we have estimated prevalence of obstructive lung function (with respiratory symptoms) in participants in population-based studies. It is likely the findings may have been affected by selection bias. While we investigated the potential impact on the findings of using a sub-set of participants and found no evidence that this had a substantial impact of the prevalence of obstructive lung disease, there may still be bias in the extent to which participants are representative of their respective populations. The proportion of invited participants who took part in the studies overall was 22% for Novosibirsk, 60% for Arkhangelsk21 and 65% for Tromsø 7.32 It is plausible attendance was differential by lung function status, as those with very severe respiratory disease may be less likely to take part. Any selection bias will have affected the prevalence estimates reported here and these should be interpreted with caution. Furthermore, the studies took place in two cities in Russia and one municipality in Norway, therefore prevalence estimates may not be generalizable to the whole of both countries. However, comparisons of use of COPD medication as maintenance treatment within the Norwegian Prescription Database (NorPD) show that use in the Troms and Finnmark county was very close to Norway as a whole in 2016.33 Secondly, in both studies only pre-bronchodilator spirometry was conducted while for a diagnosis of COPD spirometry should also be conducted post-bronchodilator in order to demonstrate irreversible airflow limitation, therefore some participants with reversible airflow limitation may have been misclassified. Sputum production was also not assessed in either study. The two studies used different spirometry devices which may have limited the comparability of the results although protocols for data collection were similar and procedures for quality control were harmonised. The questions on chronic cough were also not identical although the questions on breathlessness in both studies were measured using the same standardized tool. Translation of the questions on breathlessness to Russian and Norwegian were cross-checked by a speaker of both languages and found to be consistent in meaning. While measurement error due to differences in how questions on respiratory symptoms were asked is possible it does not seem sufficient to account for the huge differences in reporting of symptoms observed in this study. However, cultural differences in the perception of symptoms for example understanding of the concept of breathlessness may play a role in accounting for the large population level differences observed in this study. Finally, we were restricted in assessing management to pharmacological management and have not been able to compare other non-pharmacological aspects of COPD management such as participation in pulmonary rehabilitation programmes. In conclusion, we have found that the burden of obstructive lung disease on spirometry was similar in participants taking part in population-based studies in Norway and Russia but there was a strikingly high burden of respiratory symptoms among the Russian participants. Further work is needed to understand the reasons and implications for health of this high prevalence of chronic cough and breathlessness. The contribution of cardiovascular disease, in particularly heart failure, here as well as further understanding of the burden of respiratory and cardiovascular co-morbidity are important areas to investigate. There were low levels of smoking cessation and use of medications in both study populations in participants identified with COPD indicating management of COPD could be improved in both countries.
[ "Methods", "Study Populations", "Know Your Heart Study Sample (Russia)", "The Tromsø Study Sample (Norway)", "Spirometry Assessment", "Outcome", "Risk Factors", "Awareness of COPD", "Management of COPD", "Statistical Analysis", "Sensitivity Analysis to Investigate the Impact of Missing Data", "Results", "Prevalence of Obstructive Lung Function and Respiratory Symptoms", "Interaction in the Between-Study Differences by Sex, Age, Education, Smoking, BMI and Self-Reported CVD", "Awareness and Management Among Those with Obstructive Lung Function", "Awareness of COPD", "Smoking and Smoking Cessation", "Pharmacological Management", "Impact of Missing Data on Spirometry Testing", "Discussion" ]
[ "Study Populations The study population was a sub-sample of participants aged 40–69 years taking part in the two population-based health surveys the Know Your Heart (KYH) Study21 conducted in the Russian cities of Arkhangelsk and Novosibirsk (2015–18) and the seventh survey of the Tromsø Study22 (Tromsø 7) conducted in the Norwegian municipality of Tromsø (2015–16). These studies were conducted in parallel and several aspects of data collection between the studies have been harmonized (including the measurement of breathlessness, quality criteria for spirometry and ATC coding of medications) providing a unique opportunity to compare lung function between general population samples in both countries.\nThe study population was a sub-sample of participants aged 40–69 years taking part in the two population-based health surveys the Know Your Heart (KYH) Study21 conducted in the Russian cities of Arkhangelsk and Novosibirsk (2015–18) and the seventh survey of the Tromsø Study22 (Tromsø 7) conducted in the Norwegian municipality of Tromsø (2015–16). These studies were conducted in parallel and several aspects of data collection between the studies have been harmonized (including the measurement of breathlessness, quality criteria for spirometry and ATC coding of medications) providing a unique opportunity to compare lung function between general population samples in both countries.\nKnow Your Heart Study Sample (Russia) Participants were identified from a population register of addresses and a random sample stratified by age, sex and district was selected (n=15,284 aged 40–69). Trained interviewers visited the addresses and invited participants to take part in the study. Participants who agreed to take part completed an interviewer-administered questionnaire which included questions on socio-demographic factors and self-reported morbidities (n=4654 aged 40–69). Participants were then invited to a health check which included a further questionnaire and a comprehensive medical examination (n= 4044 aged 40–69). Spirometry was an additional component of the health check offered to approximately 50% of participants. Selection of participants, for practical reasons, was determined by the day of the week that medical professionals trained in these procedures were available. The days of the week when spirometry was offered were varied throughout the fieldwork in order to minimize selection bias. Contra-indications for spirometry were: chest infection in the last month (ie, influenza, bronchitis, severe cold, pneumonia); history of detached retina; myocardial infarction in the past month; surgery to eyes, chest or abdomen in last 3 months; history of a collapsed lung; pregnancy (1st or 3rd trimester); currently on medications for tuberculosis.\nUptake was high among those to whom it was offered (94.9% of participants invited to spirometry completed the examination) and in total lung function data are available for 45.7% of participants who attended the health check (n=1883 aged 40–69). Data on use of medications, smoking and self-report of respiratory symptoms were collected for all participants attending the health check.\nParticipants were identified from a population register of addresses and a random sample stratified by age, sex and district was selected (n=15,284 aged 40–69). Trained interviewers visited the addresses and invited participants to take part in the study. Participants who agreed to take part completed an interviewer-administered questionnaire which included questions on socio-demographic factors and self-reported morbidities (n=4654 aged 40–69). Participants were then invited to a health check which included a further questionnaire and a comprehensive medical examination (n= 4044 aged 40–69). Spirometry was an additional component of the health check offered to approximately 50% of participants. Selection of participants, for practical reasons, was determined by the day of the week that medical professionals trained in these procedures were available. The days of the week when spirometry was offered were varied throughout the fieldwork in order to minimize selection bias. Contra-indications for spirometry were: chest infection in the last month (ie, influenza, bronchitis, severe cold, pneumonia); history of detached retina; myocardial infarction in the past month; surgery to eyes, chest or abdomen in last 3 months; history of a collapsed lung; pregnancy (1st or 3rd trimester); currently on medications for tuberculosis.\nUptake was high among those to whom it was offered (94.9% of participants invited to spirometry completed the examination) and in total lung function data are available for 45.7% of participants who attended the health check (n=1883 aged 40–69). Data on use of medications, smoking and self-report of respiratory symptoms were collected for all participants attending the health check.\nThe Tromsø Study Sample (Norway) All inhabitants aged 40 and older were invited to take part in Tromsø 7 (n=32,591). Participants underwent a basic examination which involved questionnaires and interviews, biological sampling and clinical examinations (n=21,083 of which n=17,646 were aged 40–69). A subset of participants (randomly pre-marked before attendance with addition of previous participants from Tromsø 6 2007–2008) were invited to take part in extended examinations including spirometry. There were no contra-indications for spirometry assessment. In total spirometry was conducted on 5217 participants in the required age range.\nAll inhabitants aged 40 and older were invited to take part in Tromsø 7 (n=32,591). Participants underwent a basic examination which involved questionnaires and interviews, biological sampling and clinical examinations (n=21,083 of which n=17,646 were aged 40–69). A subset of participants (randomly pre-marked before attendance with addition of previous participants from Tromsø 6 2007–2008) were invited to take part in extended examinations including spirometry. There were no contra-indications for spirometry assessment. In total spirometry was conducted on 5217 participants in the required age range.\nSpirometry Assessment In KYH Spirometry was conducted using 6800 Pneumotrac spirometers (Vitalograph®, UK) and in Tromsø 7 using Vmax® Encore devices (Sensormedics® Corporation, USA). The spirometry examination took place alongside several other clinical examinations in both studies. Post-bronchodilator measurements were not taken in order to minimize burden for participants.\nFor both studies, three measurements were taken. If less than 2 of the measures were acceptable then additional measurements were taken up to a maximum of eight. Maximum FEV1 and maximum FVC were used in analyses not necessarily from the same blow. Following data collection acceptability and reproducibility of results were determined by 1) removing blows where FEV1 was less than 300 mL and 2) excluding values where FEV3 was the same or greater than FVC. For Tromsø 7 the curves from the study were assessed and cleaned manually by the study team responsible for data collection. For KYH cases where the difference between maximum values and the second highest value for FEV1 and FVC were greater than 250 mL were evaluated. In cases where the maximum value is found to be an outlier (difference between 2nd and 3rd max<250mL) compared to other values the next highest value was used. Otherwise, the maximum was used.\nIn KYH Spirometry was conducted using 6800 Pneumotrac spirometers (Vitalograph®, UK) and in Tromsø 7 using Vmax® Encore devices (Sensormedics® Corporation, USA). The spirometry examination took place alongside several other clinical examinations in both studies. Post-bronchodilator measurements were not taken in order to minimize burden for participants.\nFor both studies, three measurements were taken. If less than 2 of the measures were acceptable then additional measurements were taken up to a maximum of eight. Maximum FEV1 and maximum FVC were used in analyses not necessarily from the same blow. Following data collection acceptability and reproducibility of results were determined by 1) removing blows where FEV1 was less than 300 mL and 2) excluding values where FEV3 was the same or greater than FVC. For Tromsø 7 the curves from the study were assessed and cleaned manually by the study team responsible for data collection. For KYH cases where the difference between maximum values and the second highest value for FEV1 and FVC were greater than 250 mL were evaluated. In cases where the maximum value is found to be an outlier (difference between 2nd and 3rd max<250mL) compared to other values the next highest value was used. Otherwise, the maximum was used.\nOutcome The primary outcome definition was pre-bronchodilator FEV1: FVC ratio<Lower Limit Normal (LLN) with and without self-reported respiratory symptoms. LLN was calculated from the GLI LLN equations23 specifying ethnicity as white using GLI-2012 Desktop Software for Large Data Sets.24 The secondary definition of FEV1: FVC ratio<0.7 with and without symptoms was used to investigate impact of definition of the findings.\nRespiratory symptoms were defined as chronic cough and/or breathlessness. Breathlessness was measured in both studies using the MRC breathlessness scale.25 Breathlessness was categorised as grade 2 breathlessness or above (equivalent to grade 1 on the modified mMRC dyspnoea scale) “short of breath when hurrying on the level or walking up a slight hill”. Chronic cough was defined from the questions in Table 1. If participants answered “yes” to any of the questions on cough they were considered to have a chronic cough. Sensitivity analyses were conducted using a stricter definition of both breathlessness and cough to define respiratory symptoms.Table 1Questions on Chronic CoughKnow Your HeartTromsø 7Do you usually cough first thing in the morning in winter?Do you cough about daily for some periods of the year?Do you usually cough during the day or at night in winter?If you cough about daily for some periods of the year, is your cough productive?Do you cough like this on most days for as much as three months each year?If you cough about daily for some periods of the year, have you had this kind of cough for as long as 3 months in each of the last two years?Do you usually bring up phlegm from your chest first thing in the morning in winter?Do you usually bring up any phlegm from your chest during the day- or at night – in winter?Do you bring up phlegm like this on most days for as much as three months each year?\n\nQuestions on Chronic Cough\nThe primary outcome definition was pre-bronchodilator FEV1: FVC ratio<Lower Limit Normal (LLN) with and without self-reported respiratory symptoms. LLN was calculated from the GLI LLN equations23 specifying ethnicity as white using GLI-2012 Desktop Software for Large Data Sets.24 The secondary definition of FEV1: FVC ratio<0.7 with and without symptoms was used to investigate impact of definition of the findings.\nRespiratory symptoms were defined as chronic cough and/or breathlessness. Breathlessness was measured in both studies using the MRC breathlessness scale.25 Breathlessness was categorised as grade 2 breathlessness or above (equivalent to grade 1 on the modified mMRC dyspnoea scale) “short of breath when hurrying on the level or walking up a slight hill”. Chronic cough was defined from the questions in Table 1. If participants answered “yes” to any of the questions on cough they were considered to have a chronic cough. Sensitivity analyses were conducted using a stricter definition of both breathlessness and cough to define respiratory symptoms.Table 1Questions on Chronic CoughKnow Your HeartTromsø 7Do you usually cough first thing in the morning in winter?Do you cough about daily for some periods of the year?Do you usually cough during the day or at night in winter?If you cough about daily for some periods of the year, is your cough productive?Do you cough like this on most days for as much as three months each year?If you cough about daily for some periods of the year, have you had this kind of cough for as long as 3 months in each of the last two years?Do you usually bring up phlegm from your chest first thing in the morning in winter?Do you usually bring up any phlegm from your chest during the day- or at night – in winter?Do you bring up phlegm like this on most days for as much as three months each year?\n\nQuestions on Chronic Cough\nRisk Factors Risk factors measured were age, sex, education, smoking status (never, ex-smoker, current smoker) and pack-year history calculated from questions on years smoked and number of cigarettes smoked per day, and body mass index (BMI) calculated from measured height and weight. Education was coded into three categories (lower, middle and higher) based on the education system within each country. In KYH these groups were lower (incomplete secondary and vocational no secondary), middle (complete secondary, vocational and secondary, specialised secondary) and higher (incomplete higher, higher) education. For Tromsø 7, these were lower (primary) middle (upper secondary) and higher (university/university college) education. Current smokers in both studies included participants those who smoked less than daily (KYH n=26; Tromsø 7 n=350).\nAn indicator of existing CVD based on self-reported stroke and/or myocardial infarction was also included as an important factor associated with respiratory disease with different expected prevalence between the two studies.\nRisk factors measured were age, sex, education, smoking status (never, ex-smoker, current smoker) and pack-year history calculated from questions on years smoked and number of cigarettes smoked per day, and body mass index (BMI) calculated from measured height and weight. Education was coded into three categories (lower, middle and higher) based on the education system within each country. In KYH these groups were lower (incomplete secondary and vocational no secondary), middle (complete secondary, vocational and secondary, specialised secondary) and higher (incomplete higher, higher) education. For Tromsø 7, these were lower (primary) middle (upper secondary) and higher (university/university college) education. Current smokers in both studies included participants those who smoked less than daily (KYH n=26; Tromsø 7 n=350).\nAn indicator of existing CVD based on self-reported stroke and/or myocardial infarction was also included as an important factor associated with respiratory disease with different expected prevalence between the two studies.\nAwareness of COPD Awareness was assessed from self-report of chronic lung disease. In KYH this was assessed with the question “Have you ever been told by a doctor (been diagnosed) that you have chronic bronchitis/COPD?” In Tromsø 7 this question was “Have you ever had, or do you have chronic bronchitis/emphysema/COPD?”. Participants who reported they had a diagnosis either now or previously were categorised as aware of COPD status.\nAwareness was assessed from self-report of chronic lung disease. In KYH this was assessed with the question “Have you ever been told by a doctor (been diagnosed) that you have chronic bronchitis/COPD?” In Tromsø 7 this question was “Have you ever had, or do you have chronic bronchitis/emphysema/COPD?”. Participants who reported they had a diagnosis either now or previously were categorised as aware of COPD status.\nManagement of COPD Management of COPD was compared on two levels: smoking cessation and pharmacological management according to Global Initiative for Chronic Obstructive Disease (GOLD) guidelines.26\nLevels of smoking cessation were assessed by comparing the proportion of those with obstructive lung function ± respiratory symptoms who were current smokers. In the KYH two additional questions on smoking cessation advice and assistance were asked to participants who reported they were smokers “Have you ever been advised by a medical professional (your GP, cardiologist, any other physician) to stop smoking?” and “was any assistance offered?”\nFor both studies, data on use of current medications were collected and coded in accordance with the International WHO Anatomical Therapeutic Chemical (ATC) classification system version 2016.27 Pharmacological treatment was compared across two domains of use applicable to participants in population-based studies: maintenance treatment and short-acting symptomatic treatment. Maintenance treatment was defined as the use of long-acting muscarinic antagonists (R03BB) (LAMA); long-acting beta-2 agonists (R03AC12, 13, 18 and 19) (LABA); combination of long-acting beta-2 agonists with steroids or long-acting muscarinics (R03AK, R03AL); theophylline (R03DA04); roflumilast (R03DX07)). Short-acting symptomatic treatment was defined as the use of short-acting beta agonists (R03AC02, 03, 04)).\nManagement of COPD was compared on two levels: smoking cessation and pharmacological management according to Global Initiative for Chronic Obstructive Disease (GOLD) guidelines.26\nLevels of smoking cessation were assessed by comparing the proportion of those with obstructive lung function ± respiratory symptoms who were current smokers. In the KYH two additional questions on smoking cessation advice and assistance were asked to participants who reported they were smokers “Have you ever been advised by a medical professional (your GP, cardiologist, any other physician) to stop smoking?” and “was any assistance offered?”\nFor both studies, data on use of current medications were collected and coded in accordance with the International WHO Anatomical Therapeutic Chemical (ATC) classification system version 2016.27 Pharmacological treatment was compared across two domains of use applicable to participants in population-based studies: maintenance treatment and short-acting symptomatic treatment. Maintenance treatment was defined as the use of long-acting muscarinic antagonists (R03BB) (LAMA); long-acting beta-2 agonists (R03AC12, 13, 18 and 19) (LABA); combination of long-acting beta-2 agonists with steroids or long-acting muscarinics (R03AK, R03AL); theophylline (R03DA04); roflumilast (R03DX07)). Short-acting symptomatic treatment was defined as the use of short-acting beta agonists (R03AC02, 03, 04)).\nStatistical Analysis The prevalence of obstructive lung function (plus symptoms) was compared by study and sex with 1) standardisation for age to the 2013 Standard European population and 2) stratification across 10 year age bands.\nDifferences in the studies in the associations with age, sex, education, smoking, BMI and self-reported CVD were investigated by fitting separate logistic regression models with the outcomes 1) obstructive lung function and 2) obstructive lung function plus symptoms and testing for interactions between study and each risk factors using likelihood ratio tests.\nInteraction between age and pack-year history was investigated within each study by fitting logistic regression models with 1) obstructive lung function and 2) obstructive lung function plus symptoms as the outcomes adjusted for sex (and city for KYH) with and without interaction terms between age and pack-year history and comparing these using likelihood ratio tests. These interactions were investigated because of observed differences in the distribution of age and pack-year history between the studies.\nPrevalence of current smoking, self-report of diagnosis, and medication use in those with obstructive lung disease was compared between the studies across levels of reported respiratory symptoms (none, one symptom or both symptoms). Differences between studies were investigated using separate logistic regression models for each outcome and study as the exposure adjusted for 1) age and sex and 2) age, sex and respiratory symptoms.\nInteraction by sex and study was investigated using likelihood ratio tests and if there was evidence suggesting interaction results were presented stratified by sex.\nThe prevalence of obstructive lung function (plus symptoms) was compared by study and sex with 1) standardisation for age to the 2013 Standard European population and 2) stratification across 10 year age bands.\nDifferences in the studies in the associations with age, sex, education, smoking, BMI and self-reported CVD were investigated by fitting separate logistic regression models with the outcomes 1) obstructive lung function and 2) obstructive lung function plus symptoms and testing for interactions between study and each risk factors using likelihood ratio tests.\nInteraction between age and pack-year history was investigated within each study by fitting logistic regression models with 1) obstructive lung function and 2) obstructive lung function plus symptoms as the outcomes adjusted for sex (and city for KYH) with and without interaction terms between age and pack-year history and comparing these using likelihood ratio tests. These interactions were investigated because of observed differences in the distribution of age and pack-year history between the studies.\nPrevalence of current smoking, self-report of diagnosis, and medication use in those with obstructive lung disease was compared between the studies across levels of reported respiratory symptoms (none, one symptom or both symptoms). Differences between studies were investigated using separate logistic regression models for each outcome and study as the exposure adjusted for 1) age and sex and 2) age, sex and respiratory symptoms.\nInteraction by sex and study was investigated using likelihood ratio tests and if there was evidence suggesting interaction results were presented stratified by sex.\nSensitivity Analysis to Investigate the Impact of Missing Data The main analyses were restricted to complete case analysis.\nAs spirometry was conducted in a sub-set of participants in both studies, the potential impact of this was investigated by comparing the characteristics of those with spirometry data to the full sample (all health check attendees for KYH, all basic examination attendees Tromsø 7).\nTo investigate whether differences in those included and excluded could have affected the estimates of prevalence of obstructive lung function (<LLN) sensitivity analyses were conducted. Separate multiple imputation models were fitted for each study imputing the outcome in those who did not complete the spirometry examination from age, sex, education, BMI, self-reported CVD, smoking status, pack-year history, chronic cough and MRC breathlessness scale.\nThe main analyses were restricted to complete case analysis.\nAs spirometry was conducted in a sub-set of participants in both studies, the potential impact of this was investigated by comparing the characteristics of those with spirometry data to the full sample (all health check attendees for KYH, all basic examination attendees Tromsø 7).\nTo investigate whether differences in those included and excluded could have affected the estimates of prevalence of obstructive lung function (<LLN) sensitivity analyses were conducted. Separate multiple imputation models were fitted for each study imputing the outcome in those who did not complete the spirometry examination from age, sex, education, BMI, self-reported CVD, smoking status, pack-year history, chronic cough and MRC breathlessness scale.", "The study population was a sub-sample of participants aged 40–69 years taking part in the two population-based health surveys the Know Your Heart (KYH) Study21 conducted in the Russian cities of Arkhangelsk and Novosibirsk (2015–18) and the seventh survey of the Tromsø Study22 (Tromsø 7) conducted in the Norwegian municipality of Tromsø (2015–16). These studies were conducted in parallel and several aspects of data collection between the studies have been harmonized (including the measurement of breathlessness, quality criteria for spirometry and ATC coding of medications) providing a unique opportunity to compare lung function between general population samples in both countries.", "Participants were identified from a population register of addresses and a random sample stratified by age, sex and district was selected (n=15,284 aged 40–69). Trained interviewers visited the addresses and invited participants to take part in the study. Participants who agreed to take part completed an interviewer-administered questionnaire which included questions on socio-demographic factors and self-reported morbidities (n=4654 aged 40–69). Participants were then invited to a health check which included a further questionnaire and a comprehensive medical examination (n= 4044 aged 40–69). Spirometry was an additional component of the health check offered to approximately 50% of participants. Selection of participants, for practical reasons, was determined by the day of the week that medical professionals trained in these procedures were available. The days of the week when spirometry was offered were varied throughout the fieldwork in order to minimize selection bias. Contra-indications for spirometry were: chest infection in the last month (ie, influenza, bronchitis, severe cold, pneumonia); history of detached retina; myocardial infarction in the past month; surgery to eyes, chest or abdomen in last 3 months; history of a collapsed lung; pregnancy (1st or 3rd trimester); currently on medications for tuberculosis.\nUptake was high among those to whom it was offered (94.9% of participants invited to spirometry completed the examination) and in total lung function data are available for 45.7% of participants who attended the health check (n=1883 aged 40–69). Data on use of medications, smoking and self-report of respiratory symptoms were collected for all participants attending the health check.", "All inhabitants aged 40 and older were invited to take part in Tromsø 7 (n=32,591). Participants underwent a basic examination which involved questionnaires and interviews, biological sampling and clinical examinations (n=21,083 of which n=17,646 were aged 40–69). A subset of participants (randomly pre-marked before attendance with addition of previous participants from Tromsø 6 2007–2008) were invited to take part in extended examinations including spirometry. There were no contra-indications for spirometry assessment. In total spirometry was conducted on 5217 participants in the required age range.", "In KYH Spirometry was conducted using 6800 Pneumotrac spirometers (Vitalograph®, UK) and in Tromsø 7 using Vmax® Encore devices (Sensormedics® Corporation, USA). The spirometry examination took place alongside several other clinical examinations in both studies. Post-bronchodilator measurements were not taken in order to minimize burden for participants.\nFor both studies, three measurements were taken. If less than 2 of the measures were acceptable then additional measurements were taken up to a maximum of eight. Maximum FEV1 and maximum FVC were used in analyses not necessarily from the same blow. Following data collection acceptability and reproducibility of results were determined by 1) removing blows where FEV1 was less than 300 mL and 2) excluding values where FEV3 was the same or greater than FVC. For Tromsø 7 the curves from the study were assessed and cleaned manually by the study team responsible for data collection. For KYH cases where the difference between maximum values and the second highest value for FEV1 and FVC were greater than 250 mL were evaluated. In cases where the maximum value is found to be an outlier (difference between 2nd and 3rd max<250mL) compared to other values the next highest value was used. Otherwise, the maximum was used.", "The primary outcome definition was pre-bronchodilator FEV1: FVC ratio<Lower Limit Normal (LLN) with and without self-reported respiratory symptoms. LLN was calculated from the GLI LLN equations23 specifying ethnicity as white using GLI-2012 Desktop Software for Large Data Sets.24 The secondary definition of FEV1: FVC ratio<0.7 with and without symptoms was used to investigate impact of definition of the findings.\nRespiratory symptoms were defined as chronic cough and/or breathlessness. Breathlessness was measured in both studies using the MRC breathlessness scale.25 Breathlessness was categorised as grade 2 breathlessness or above (equivalent to grade 1 on the modified mMRC dyspnoea scale) “short of breath when hurrying on the level or walking up a slight hill”. Chronic cough was defined from the questions in Table 1. If participants answered “yes” to any of the questions on cough they were considered to have a chronic cough. Sensitivity analyses were conducted using a stricter definition of both breathlessness and cough to define respiratory symptoms.Table 1Questions on Chronic CoughKnow Your HeartTromsø 7Do you usually cough first thing in the morning in winter?Do you cough about daily for some periods of the year?Do you usually cough during the day or at night in winter?If you cough about daily for some periods of the year, is your cough productive?Do you cough like this on most days for as much as three months each year?If you cough about daily for some periods of the year, have you had this kind of cough for as long as 3 months in each of the last two years?Do you usually bring up phlegm from your chest first thing in the morning in winter?Do you usually bring up any phlegm from your chest during the day- or at night – in winter?Do you bring up phlegm like this on most days for as much as three months each year?\n\nQuestions on Chronic Cough", "Risk factors measured were age, sex, education, smoking status (never, ex-smoker, current smoker) and pack-year history calculated from questions on years smoked and number of cigarettes smoked per day, and body mass index (BMI) calculated from measured height and weight. Education was coded into three categories (lower, middle and higher) based on the education system within each country. In KYH these groups were lower (incomplete secondary and vocational no secondary), middle (complete secondary, vocational and secondary, specialised secondary) and higher (incomplete higher, higher) education. For Tromsø 7, these were lower (primary) middle (upper secondary) and higher (university/university college) education. Current smokers in both studies included participants those who smoked less than daily (KYH n=26; Tromsø 7 n=350).\nAn indicator of existing CVD based on self-reported stroke and/or myocardial infarction was also included as an important factor associated with respiratory disease with different expected prevalence between the two studies.", "Awareness was assessed from self-report of chronic lung disease. In KYH this was assessed with the question “Have you ever been told by a doctor (been diagnosed) that you have chronic bronchitis/COPD?” In Tromsø 7 this question was “Have you ever had, or do you have chronic bronchitis/emphysema/COPD?”. Participants who reported they had a diagnosis either now or previously were categorised as aware of COPD status.", "Management of COPD was compared on two levels: smoking cessation and pharmacological management according to Global Initiative for Chronic Obstructive Disease (GOLD) guidelines.26\nLevels of smoking cessation were assessed by comparing the proportion of those with obstructive lung function ± respiratory symptoms who were current smokers. In the KYH two additional questions on smoking cessation advice and assistance were asked to participants who reported they were smokers “Have you ever been advised by a medical professional (your GP, cardiologist, any other physician) to stop smoking?” and “was any assistance offered?”\nFor both studies, data on use of current medications were collected and coded in accordance with the International WHO Anatomical Therapeutic Chemical (ATC) classification system version 2016.27 Pharmacological treatment was compared across two domains of use applicable to participants in population-based studies: maintenance treatment and short-acting symptomatic treatment. Maintenance treatment was defined as the use of long-acting muscarinic antagonists (R03BB) (LAMA); long-acting beta-2 agonists (R03AC12, 13, 18 and 19) (LABA); combination of long-acting beta-2 agonists with steroids or long-acting muscarinics (R03AK, R03AL); theophylline (R03DA04); roflumilast (R03DX07)). Short-acting symptomatic treatment was defined as the use of short-acting beta agonists (R03AC02, 03, 04)).", "The prevalence of obstructive lung function (plus symptoms) was compared by study and sex with 1) standardisation for age to the 2013 Standard European population and 2) stratification across 10 year age bands.\nDifferences in the studies in the associations with age, sex, education, smoking, BMI and self-reported CVD were investigated by fitting separate logistic regression models with the outcomes 1) obstructive lung function and 2) obstructive lung function plus symptoms and testing for interactions between study and each risk factors using likelihood ratio tests.\nInteraction between age and pack-year history was investigated within each study by fitting logistic regression models with 1) obstructive lung function and 2) obstructive lung function plus symptoms as the outcomes adjusted for sex (and city for KYH) with and without interaction terms between age and pack-year history and comparing these using likelihood ratio tests. These interactions were investigated because of observed differences in the distribution of age and pack-year history between the studies.\nPrevalence of current smoking, self-report of diagnosis, and medication use in those with obstructive lung disease was compared between the studies across levels of reported respiratory symptoms (none, one symptom or both symptoms). Differences between studies were investigated using separate logistic regression models for each outcome and study as the exposure adjusted for 1) age and sex and 2) age, sex and respiratory symptoms.\nInteraction by sex and study was investigated using likelihood ratio tests and if there was evidence suggesting interaction results were presented stratified by sex.", "The main analyses were restricted to complete case analysis.\nAs spirometry was conducted in a sub-set of participants in both studies, the potential impact of this was investigated by comparing the characteristics of those with spirometry data to the full sample (all health check attendees for KYH, all basic examination attendees Tromsø 7).\nTo investigate whether differences in those included and excluded could have affected the estimates of prevalence of obstructive lung function (<LLN) sensitivity analyses were conducted. Separate multiple imputation models were fitted for each study imputing the outcome in those who did not complete the spirometry examination from age, sex, education, BMI, self-reported CVD, smoking status, pack-year history, chronic cough and MRC breathlessness scale.", "In total there were 1883 participants in KYH (41.8% men) and 5217 participants in Tromsø 7 (45.7% men) aged 40–69 with data from spirometry. Characteristics of participants by sex and study are shown in Table 2. Although the proportion of men in the oldest age group was higher for the Tromsø 7 men, the KYH men had a higher smoking pack-year history.Table 2Characteristics of Participants by Sex and Study. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016Know Your HeartTromsø 7WomenMenWomenMenN(%)N(%)N(%)N(%)Total sample1096(100)787(100)2831(100)2386(100)Age, years40–49331(30.2)238(30.2)553(19.5)471(19.7)50–59384(35.0)259(32.9)716(25.3)526(22.1)60–69381(34.8)290(36.9)1562(55.2)1389(58.2)CityArkhangelsk538(49.1)405(51.5)––Novosibirsk558(50.9)382(48.5)––EducationLower58(5.3)63(8.0)660(23.6)537(22.7)Middle586(53.5)405(51.5)782(28.0)717(30.4)Higher452(41.2)319(40.5)1356(48.5)1107(48.9)Missing003325Smoking statusNever744(67.9)217(27.6)958(34.1)856(36.3)Ex-smoker173(15.8)285(36.3)1453(51.7)1131(47.9)Current smoker179(16.3)283(36.1)400(14.2)374(15.8)Missing022025Smoking pack years among ever smokers>0<10184(60.1)85(15.5)940(52.6)564(38.2)10–1954(17.7)104(18.9)478(26.8)433(29.3)20–2945(14.7)163(29.6)246(13.8)220(14.9)30–3914(4.6)109(19.8)83(4.6)167(11.3)40+9(2.9)89(16.2)40(2.2)92(6.2)Missing46186629Body mass index, kg/m2<18.513(1.2)9(1.2)29(1.0)2(0.1)18.5–24.9317(29.0)218(27.7)1119(39.6)572(24.0)25–29.9361(33.0)349(44.4)1095(38.7)1208(50.7)30–34.9259(23.7)166(21.1)430(15.2)471(19.8)>35144(13.2)44(5.6)154(5.5)130(5.5)Missing2143Self-reported Cardiovascular co-morbidity (stroke and/or myocardial infarction)Yes67(6.3)94(12.3)80(3.0)178(7.8)Missing242112798Chronic coughYes455(41.8)335(43.2)397(14.2)412(17.5)Missing7112731Breathlessness grade 2Yes672(62.2)306(39.3)854(30.2)593(24.9)Missing15878Respiratory symptomsNone283(26.4)316(41.0)1740(62.2)1517(64.6)Either cough or breathless467(43.5)273(35.5)873(31.2)666(28.4)Both cough and breathless324(30.2)181(23.5)184(6.6)164(7.0)Missing22173439FEV1: FVC ratio<0.7Yes123(11.2)154(19.6)542(19.2)526(22.1)FEV1: FVC ratio<LLN*Yes75(6.8)88(11.2)290(10.2)234(9.8)FEV1: FVC ratio<0.7 plus symptoms**Yes104(9.6)113(14.6)257(9.2)237(10.1)Missing22173439FEV1: FVC ratio<LLN* plus symptoms**Yes64(5.9)67(8.6)151(5.4)123(5.2)Missing22173439Ever diagnosedYes216(19.7)108(13.8)96(3.5)78(3.4)Missing139761Notes: *GLI LLN (z-score for FEV1/FVC ratio<-1.64). **Symptoms defined as cough and/or breathlessness.\n\nCharacteristics of Participants by Sex and Study. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nNotes: *GLI LLN (z-score for FEV1/FVC ratio<-1.64). **Symptoms defined as cough and/or breathlessness.\nThere was no evidence for a difference in sex-stratified prevalences of obstructive lung function between the two Russian sites after adjusting for age, and due to small numbers findings from both sites were pooled.\nPrevalence of Obstructive Lung Function and Respiratory Symptoms The crude prevalence of obstructive lung function and respiratory symptoms by sex and study is shown in Table 2. Findings after age-standardisation were similar to the crude findings. Among women the age-standardized prevalence of obstructive lung function defined by LLN was higher (age-adjusted p value=0.006) in the Tromsø 7 women (9.4%) compared to the KYH women (6.8%) while there was no evidence for a difference by study in men (KYH men 11.0%; Tromsø 7 men 9.8% age-adjusted p value=0.21).\nThe prevalence of reporting respiratory symptoms among those with obstructive lung function was substantially higher in KYH than Tromsø 7 in both men and women across all ages (Figure 1A and B). The age-standardized prevalence of COPD defined as obstructive lung function and one or more respiratory symptom was 8.3% in KYH men and 4.7% in Tromsø 7 men (age-adjusted p value<0.001). In women, this was 5.9% in KYH and 4.6% in Tromsø 7 (age-adjusted p value=0.18).Figure 1Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women.\nPrevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women.\nThe positive predictive value of any respiratory symptoms for identifying obstructive lung function was low in both studies (10.4% in KYH; 14.4% in Tromsø 7). The marked differences in reporting of respiratory symptoms between the studies were also seen in those without obstructive lung function on spirometry (Supplementary Figure 1).\nThe crude prevalence of obstructive lung function and respiratory symptoms by sex and study is shown in Table 2. Findings after age-standardisation were similar to the crude findings. Among women the age-standardized prevalence of obstructive lung function defined by LLN was higher (age-adjusted p value=0.006) in the Tromsø 7 women (9.4%) compared to the KYH women (6.8%) while there was no evidence for a difference by study in men (KYH men 11.0%; Tromsø 7 men 9.8% age-adjusted p value=0.21).\nThe prevalence of reporting respiratory symptoms among those with obstructive lung function was substantially higher in KYH than Tromsø 7 in both men and women across all ages (Figure 1A and B). The age-standardized prevalence of COPD defined as obstructive lung function and one or more respiratory symptom was 8.3% in KYH men and 4.7% in Tromsø 7 men (age-adjusted p value<0.001). In women, this was 5.9% in KYH and 4.6% in Tromsø 7 (age-adjusted p value=0.18).Figure 1Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women.\nPrevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women.\nThe positive predictive value of any respiratory symptoms for identifying obstructive lung function was low in both studies (10.4% in KYH; 14.4% in Tromsø 7). The marked differences in reporting of respiratory symptoms between the studies were also seen in those without obstructive lung function on spirometry (Supplementary Figure 1).\nInteraction in the Between-Study Differences by Sex, Age, Education, Smoking, BMI and Self-Reported CVD The associations between obstructive lung function and age, sex, education, smoking, BMI and self-reported CVD morbidity and interactions by study are shown in Table 3. There was no evidence for interaction in associations with age, education, smoking, BMI or self-reported CVD morbidity between the studies but there was strong evidence for a difference in association with sex (p=0.002). Women had lower odds of obstructive lung disease than men in KYH but similar odds as men in Tromsø 7. The between-study difference found in women was removed by additional adjustment for smoking history (odds ratio for association of study in women adjusted for age and pack-year history 1.02 95% CI 0.76, 1.37).Table 3Association Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total163/1883(8.7)524/5217(10.0)0.89 (0.74, 1.07)–SexMen88/787(11.2)1.00(ref)290/2831(10.2)1.00(ref)1.17 (0.90, 1.52)P=0.002Women75/1096(6.8)0.59(0.43, 0.81)234/2386(9.8)1.06(0.88, 1.27)0.69 (0.53, 0.90)Age, years40–4943/569(7.6)1.00(ref)99/1024(9.7)1.00(ref)0.77 (0.53, 1.12)P=0.6750–5953/643(8.2)1.10(0.73, 1.68)108/1242(8.7)0.88(0.67, 1.27)0.95 (0.67, 1.34)60–6967/671(10.0)1.35(0.91, 2.02)317/2951(10.7)1.13(0.89, 1.43)0.92 (0.70, 1.21)Test for trendP=0.13P=0.15EducationLower19/121(15.7)1.65(0.96, 2.85)161/1197(13.5)1.55(1.22, 1.99)1.23 (0.73, 2.07)P=0.13Middle93/991(9.4)1.00(ref)135/1499(9.0)1.00(ref)1.12 (0.84, 1.48)Higher51/771(6.6)0.71(0.49, 1.01)220/2463(8.9)0.99(0.79, 1.24)0.73 (0.53, 1.00)Test for trendP=0.004P<0.001Smoking statusNever46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.82Ex-smoker38/458(8.3)1.73(1.08, 2.77)266/2584(10.3)2.10(1.64, 2.68)0.80 (0.56, 1.15)Current smoker78/462(16.9)4.14(2.73, 6.29)161/774(20.8)4.85(3.70, 6.37)0.86 (0.63, 1.18)Smoking Pack years (ever smokers)Never smoked46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.90>0<1021/269(7.8)1.80(1.04, 3.10)106/1504(7.1)1.39(1.04, 1.86)1.04 (0.63, 1.73)10–1916/158(10.1)2.59(1.37, 4.87)121/911(13.3)2.87(2.16, 3.82)0.92 (0.52, 1.65)20–2932/208(15.4)4.59(2.66, 7.91)92/466(19.7)4.64(3.40, 6.34)0.83 (0.51, 1.37)30–3923/123(18.7)5.62(3.02, 10.47)59/250(23.6)6.13(4.25, 8.84)0.82 (0.47, 1.43)40+22/98(22.5)7.55(3.98, 14.32)35/132(26.5)7.14(4.56, 11.17)0.70 (0.35, 1.41)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.58/22(36.4)4.14 (1.65, 10.39)11/31(35.5)3.67 (1.73, 7.78)0.79 (0.18, 3.52)P=0.6018.5–24.969/535(12.9)1.00 (ref)222/1691(13.1)1.00 (ref)1.15 (0.85, 1.55)25–29.944/710(6.2)0.39 (0.26, 0.59)203/2303(8.8)0.62 (0.51, 0.77)0.70 (0.50, 0.99)30–34.525/425(5.9)0.39 (0.24, 0.63)60/901(6.7)0.46 (0.34, 0.62)0.92 (0.56, 1.50)>3516/188(8.5)0.64 (0.36, 1.14)26/284(9.2)0.66 (0.43, 1.02)0.93 (0.47, 1.82)Test for trendP<0.001P<0.001Self-reported CVD co-morbidityNo150/1710(8.8)1.00 (ref)478/4799(10.0)1.00 (ref)0.92 (0.75, 1.12)0.54Yes13/167(7.8)0.73 (0.40, 1.33)28/264(10.6)1.04 (0.69, 1.57)0.72 (0.35, 1.46)\n\nAssociation Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nThe equivalent associations between obstructive lung function plus respiratory symptoms are shown in Table 4. In contrast to findings for obstructive lung function, there was strong evidence for higher odds of obstructive lung function plus symptoms in the KYH participants after adjustment for sex and age. This was seen in all ages and across categories of education and self-reported CVD morbidity. However, there was some evidence of effect modification by sex (p=0.06), pack years history (p=0.01) and smoking status (p=0.02) with largest between-study effect in never smokers and no evidence for a between-study effect in heavier smokers, and in women.Table 4Association Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total129/1844(7.0)272/5144(5.3)1.46 (1.17, 1.83)SexMen65/770(8.4)1.00(ref)121/2347(5.1)1.00(ref)1.78 (1.30, 2.46)P=0.06Women64/1074(6.0)0.69(0.48, 0.99)151/2797(5.4)1.06(0.83, 1.35)1.23 (0.91, 1.68)Age, years40–4931/559(5.5)1.00(ref)37/1015(3.7)1.00(ref)1.58 (0.97, 2.57)P=0.8450–5944/629(7.0)1.29(0.80, 2.07)56/1224(4.6)1.26(0.83, 1.93)1.58 (1.05, 2.37)60–6954/656(8.2)1.52(0.96, 2.40)179/2905(6.2)1.74(1.21, 2.49)1.36 (0.99, 1.87)Test for trendP=0.07P<0.001EducationLower15/117(12.8)1.64(0.90. 3.00)119/1170(10.2)2.17(1.59, 2.95)1.34 (0.75, 2.38)P=0.67Middle74/968(7.6)1.00(ref)71/1483(4.8)1.00(ref)1.79 (1.27, 2.52)Higher40/759(5.3)0.69(0.46, 1.03)76/2437(3.1)0.65(0.47, 0.91)1.76 (1.18, 2.62)Test for trendP=0.007P<0.001Smoking statusNever37/943(3.9)1.50(0.87, 2.59)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.02Ex-smoker25/451(5.5)1.00(ref)138/2563(5.4)3.55(2.33, 5.39)1.19 (0.75, 1.87)Current smoker67/450(14.9)4.70(2.98, 7.42)107/764(14.0)10.52(6.83, 16.20)1.18 (0.83, 1.67)Smoking Pack yearsNever smoked37/943(3.9)1.00(ref)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.01>0<1018/264(6.8)1.98(1.10, 3.56)41/1491(2.8)1.80(1.10, 2.94)2.89 (1.57, 5.30)10–1913/157(8.3)2.88(1.44, 5.78)65/898(7.2)5.09(3.22, 8.04)1.46 (0.75, 2.83)20–2923/200(11.5)4.44(2.40, 8.21)64/464(13.8)10.31(6.47, 16.43)1.01 (0.57, 1.79)30–3917/120(14.2)5.37(2.67, 10.81)41/250(16.4)13.36(7.97, 22.39)0.95 (0.50, 1.80)40+19/98(19.4)8.45(4.22, 16.90)28/131(21.4)18.40(10.34, 32.75)0.66 (0.31, 1.40)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.55/21(23.8)3.00 (1.04, 8.64)7/31(22.6)4.78 (2.00, 11.46)0.94 (0.16, 5.45)P=0.1418.5–24.953/525(10.1)1.00 (ref)95/1672(5.7)1.00 (ref)2.55 (1.75, 3.72)25–29.938/693(5.5)0.45 (0.29, 0.71)110/2267(4.9)0.82 (0.62, 1.10)1.19 (0.81, 1.75)30–34.521/420(5.0)0.42 (0.25, 0.71)39/887(4.4)0.74 (0.51, 1.10)1.20 (0.69, 2.10)>3511/183(6.0)0.54 (0.27, 1.07)19/280(6.8)1.24 (0.74, 2.06)0.87 (0.39, 1.94)Test for trendp<0.001p=0.22Self-reported CVD co-morbidityNo115/1677(6.9)1.00 (ref)242/4734(5.1)1.00 (ref)1.52 (1.20, 1.93)P=0.74Yes13/161(8.1)0.99 (0.54, 1.83)17/258(6.6)1.19 (0.71, 1.99)1.27 (0.58, 2.76)\n\nAssociation Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nIn sensitivity analysis using the stricter definition of respiratory symptoms (Supplementary Table 1), the between study difference was larger. There remained evidence for effect modification by pack-years smoked (no between study difference in heavier smokers >20 pack-years) but there was no evidence for effect modification by the other risk factors.\nObserved interactions between age and pack-year history within each study are shown in Supplementary Table 2. There was some evidence for interaction between age and pack-year history after adjusting for sex for the outcome obstructive lung function for Tromsø 7 with stronger association between pack-year history and age in the older participants (p=0.06). Conversely, there was good evidence for interaction between age and smoking pack-year history for obstructive lung function plus one of more respiratory symptoms but with stronger association between pack-year history and the outcome in the younger age groups (p=0.01). There was no evidence for interactions between age and pack-year history with obstructive lung function for KYH (p=0.18) or obstructive lung function plus 1 or more symptoms in Tromsø 7 (p=0.46).\nThe associations between obstructive lung function and age, sex, education, smoking, BMI and self-reported CVD morbidity and interactions by study are shown in Table 3. There was no evidence for interaction in associations with age, education, smoking, BMI or self-reported CVD morbidity between the studies but there was strong evidence for a difference in association with sex (p=0.002). Women had lower odds of obstructive lung disease than men in KYH but similar odds as men in Tromsø 7. The between-study difference found in women was removed by additional adjustment for smoking history (odds ratio for association of study in women adjusted for age and pack-year history 1.02 95% CI 0.76, 1.37).Table 3Association Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total163/1883(8.7)524/5217(10.0)0.89 (0.74, 1.07)–SexMen88/787(11.2)1.00(ref)290/2831(10.2)1.00(ref)1.17 (0.90, 1.52)P=0.002Women75/1096(6.8)0.59(0.43, 0.81)234/2386(9.8)1.06(0.88, 1.27)0.69 (0.53, 0.90)Age, years40–4943/569(7.6)1.00(ref)99/1024(9.7)1.00(ref)0.77 (0.53, 1.12)P=0.6750–5953/643(8.2)1.10(0.73, 1.68)108/1242(8.7)0.88(0.67, 1.27)0.95 (0.67, 1.34)60–6967/671(10.0)1.35(0.91, 2.02)317/2951(10.7)1.13(0.89, 1.43)0.92 (0.70, 1.21)Test for trendP=0.13P=0.15EducationLower19/121(15.7)1.65(0.96, 2.85)161/1197(13.5)1.55(1.22, 1.99)1.23 (0.73, 2.07)P=0.13Middle93/991(9.4)1.00(ref)135/1499(9.0)1.00(ref)1.12 (0.84, 1.48)Higher51/771(6.6)0.71(0.49, 1.01)220/2463(8.9)0.99(0.79, 1.24)0.73 (0.53, 1.00)Test for trendP=0.004P<0.001Smoking statusNever46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.82Ex-smoker38/458(8.3)1.73(1.08, 2.77)266/2584(10.3)2.10(1.64, 2.68)0.80 (0.56, 1.15)Current smoker78/462(16.9)4.14(2.73, 6.29)161/774(20.8)4.85(3.70, 6.37)0.86 (0.63, 1.18)Smoking Pack years (ever smokers)Never smoked46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.90>0<1021/269(7.8)1.80(1.04, 3.10)106/1504(7.1)1.39(1.04, 1.86)1.04 (0.63, 1.73)10–1916/158(10.1)2.59(1.37, 4.87)121/911(13.3)2.87(2.16, 3.82)0.92 (0.52, 1.65)20–2932/208(15.4)4.59(2.66, 7.91)92/466(19.7)4.64(3.40, 6.34)0.83 (0.51, 1.37)30–3923/123(18.7)5.62(3.02, 10.47)59/250(23.6)6.13(4.25, 8.84)0.82 (0.47, 1.43)40+22/98(22.5)7.55(3.98, 14.32)35/132(26.5)7.14(4.56, 11.17)0.70 (0.35, 1.41)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.58/22(36.4)4.14 (1.65, 10.39)11/31(35.5)3.67 (1.73, 7.78)0.79 (0.18, 3.52)P=0.6018.5–24.969/535(12.9)1.00 (ref)222/1691(13.1)1.00 (ref)1.15 (0.85, 1.55)25–29.944/710(6.2)0.39 (0.26, 0.59)203/2303(8.8)0.62 (0.51, 0.77)0.70 (0.50, 0.99)30–34.525/425(5.9)0.39 (0.24, 0.63)60/901(6.7)0.46 (0.34, 0.62)0.92 (0.56, 1.50)>3516/188(8.5)0.64 (0.36, 1.14)26/284(9.2)0.66 (0.43, 1.02)0.93 (0.47, 1.82)Test for trendP<0.001P<0.001Self-reported CVD co-morbidityNo150/1710(8.8)1.00 (ref)478/4799(10.0)1.00 (ref)0.92 (0.75, 1.12)0.54Yes13/167(7.8)0.73 (0.40, 1.33)28/264(10.6)1.04 (0.69, 1.57)0.72 (0.35, 1.46)\n\nAssociation Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nThe equivalent associations between obstructive lung function plus respiratory symptoms are shown in Table 4. In contrast to findings for obstructive lung function, there was strong evidence for higher odds of obstructive lung function plus symptoms in the KYH participants after adjustment for sex and age. This was seen in all ages and across categories of education and self-reported CVD morbidity. However, there was some evidence of effect modification by sex (p=0.06), pack years history (p=0.01) and smoking status (p=0.02) with largest between-study effect in never smokers and no evidence for a between-study effect in heavier smokers, and in women.Table 4Association Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total129/1844(7.0)272/5144(5.3)1.46 (1.17, 1.83)SexMen65/770(8.4)1.00(ref)121/2347(5.1)1.00(ref)1.78 (1.30, 2.46)P=0.06Women64/1074(6.0)0.69(0.48, 0.99)151/2797(5.4)1.06(0.83, 1.35)1.23 (0.91, 1.68)Age, years40–4931/559(5.5)1.00(ref)37/1015(3.7)1.00(ref)1.58 (0.97, 2.57)P=0.8450–5944/629(7.0)1.29(0.80, 2.07)56/1224(4.6)1.26(0.83, 1.93)1.58 (1.05, 2.37)60–6954/656(8.2)1.52(0.96, 2.40)179/2905(6.2)1.74(1.21, 2.49)1.36 (0.99, 1.87)Test for trendP=0.07P<0.001EducationLower15/117(12.8)1.64(0.90. 3.00)119/1170(10.2)2.17(1.59, 2.95)1.34 (0.75, 2.38)P=0.67Middle74/968(7.6)1.00(ref)71/1483(4.8)1.00(ref)1.79 (1.27, 2.52)Higher40/759(5.3)0.69(0.46, 1.03)76/2437(3.1)0.65(0.47, 0.91)1.76 (1.18, 2.62)Test for trendP=0.007P<0.001Smoking statusNever37/943(3.9)1.50(0.87, 2.59)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.02Ex-smoker25/451(5.5)1.00(ref)138/2563(5.4)3.55(2.33, 5.39)1.19 (0.75, 1.87)Current smoker67/450(14.9)4.70(2.98, 7.42)107/764(14.0)10.52(6.83, 16.20)1.18 (0.83, 1.67)Smoking Pack yearsNever smoked37/943(3.9)1.00(ref)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.01>0<1018/264(6.8)1.98(1.10, 3.56)41/1491(2.8)1.80(1.10, 2.94)2.89 (1.57, 5.30)10–1913/157(8.3)2.88(1.44, 5.78)65/898(7.2)5.09(3.22, 8.04)1.46 (0.75, 2.83)20–2923/200(11.5)4.44(2.40, 8.21)64/464(13.8)10.31(6.47, 16.43)1.01 (0.57, 1.79)30–3917/120(14.2)5.37(2.67, 10.81)41/250(16.4)13.36(7.97, 22.39)0.95 (0.50, 1.80)40+19/98(19.4)8.45(4.22, 16.90)28/131(21.4)18.40(10.34, 32.75)0.66 (0.31, 1.40)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.55/21(23.8)3.00 (1.04, 8.64)7/31(22.6)4.78 (2.00, 11.46)0.94 (0.16, 5.45)P=0.1418.5–24.953/525(10.1)1.00 (ref)95/1672(5.7)1.00 (ref)2.55 (1.75, 3.72)25–29.938/693(5.5)0.45 (0.29, 0.71)110/2267(4.9)0.82 (0.62, 1.10)1.19 (0.81, 1.75)30–34.521/420(5.0)0.42 (0.25, 0.71)39/887(4.4)0.74 (0.51, 1.10)1.20 (0.69, 2.10)>3511/183(6.0)0.54 (0.27, 1.07)19/280(6.8)1.24 (0.74, 2.06)0.87 (0.39, 1.94)Test for trendp<0.001p=0.22Self-reported CVD co-morbidityNo115/1677(6.9)1.00 (ref)242/4734(5.1)1.00 (ref)1.52 (1.20, 1.93)P=0.74Yes13/161(8.1)0.99 (0.54, 1.83)17/258(6.6)1.19 (0.71, 1.99)1.27 (0.58, 2.76)\n\nAssociation Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nIn sensitivity analysis using the stricter definition of respiratory symptoms (Supplementary Table 1), the between study difference was larger. There remained evidence for effect modification by pack-years smoked (no between study difference in heavier smokers >20 pack-years) but there was no evidence for effect modification by the other risk factors.\nObserved interactions between age and pack-year history within each study are shown in Supplementary Table 2. There was some evidence for interaction between age and pack-year history after adjusting for sex for the outcome obstructive lung function for Tromsø 7 with stronger association between pack-year history and age in the older participants (p=0.06). Conversely, there was good evidence for interaction between age and smoking pack-year history for obstructive lung function plus one of more respiratory symptoms but with stronger association between pack-year history and the outcome in the younger age groups (p=0.01). There was no evidence for interactions between age and pack-year history with obstructive lung function for KYH (p=0.18) or obstructive lung function plus 1 or more symptoms in Tromsø 7 (p=0.46).\nAwareness and Management Among Those with Obstructive Lung Function The levels of awareness and management among those with obstructive lung function by study, sex and reported respiratory symptoms are shown in Table 5. There was evidence for a difference in the between-study association with current smoking by sex therefore associations for current smoking are shown stratified by sex. There was no evidence for an interaction between sex and study for levels of awareness (test for interaction p=0.44) and pharmacological managements (maintenance treatment test for interaction p=0.37; relief of symptoms p=0.91).Table 5Awareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016No Symptoms (n=29 KYH) (n=246 Tromsø 7)Cough or Breathless (n=58 KYH) (n=196 Tromsø 7)Cough and Breathless (n=71 KYH) (n=76 Tromsø 7)Test for Trend with Symptoms (Adjusted Age and Sex)Total (n=158 KYH*) (n=493 Tromsø 7)N(%)N(%)N(%)N(%)Self-report ever diagnosedKYH2(6.9)14(24.1)41(57.8)P<0.00157(36.1)Tromsø 711(4.6)39(21.2)33(48.5)P<0.00183(16.8)Age and sex adjusted OR Tromsø 7/KYH (95% CI)0.48(0.09, 2.44)0.70(0.34, 1.45)0.59(0.29, 1.20)0.29(0.19, 0.44)Currently smokesKYH men6(33.3)15(53.6)28(75.7)P=0.00349(59.0)Tromsø 7 men19(17.3)30(38.0)24(57.1)P<0.00173(31.6)Age adjusted OR Tromsø 7/KYH0.43(0.13, 1.38)0.54(0.22, 1.36)0.41(0.14, 1.23)0.30(0.18, 0.51)KYH women2(18.2)9(30.0)15(44.1)P=0.0326(34.7)Tromsø 7 women33(24.6)36(30.8)17(50.0)P=0.00886(30.2)Age adjusted OR Tromsø 7/KYH1.00(0.19, 5.26)1.13(0.45, 2.85)1.71(0.52, 5.59)0.87(0.50, 1.51)Maintenance treatmentaKYH1(3.7)4(7.3)9(12.9)P=0.1214(9.2)Tromsø 717(6.9)31(15.8)28(36.8)P<0.00176(14.7)Age and sex adjusted OR Tromsø 7/KYH1.52(0.18, 12.77)2.46(0.80, 7.56)3.80(1.50, 9.63)1.56(0.85, 2.88)Short acting symptomatic treatmentbKYH0(0.0)2(3.6)5(7.1)P=0.127(4.6)Tromsø 76(2.4)17(8.7)15(19.7)P<0.00138(7.3)Age and sex adjusted OR Tromsø 7/KYH-3.18(0.68, 14.88)4.49(1.19, 16.97)1.72(0.74, 3.98)Notes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04.\n\nAwareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nNotes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04.\nThe levels of awareness and management among those with obstructive lung function by study, sex and reported respiratory symptoms are shown in Table 5. There was evidence for a difference in the between-study association with current smoking by sex therefore associations for current smoking are shown stratified by sex. There was no evidence for an interaction between sex and study for levels of awareness (test for interaction p=0.44) and pharmacological managements (maintenance treatment test for interaction p=0.37; relief of symptoms p=0.91).Table 5Awareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016No Symptoms (n=29 KYH) (n=246 Tromsø 7)Cough or Breathless (n=58 KYH) (n=196 Tromsø 7)Cough and Breathless (n=71 KYH) (n=76 Tromsø 7)Test for Trend with Symptoms (Adjusted Age and Sex)Total (n=158 KYH*) (n=493 Tromsø 7)N(%)N(%)N(%)N(%)Self-report ever diagnosedKYH2(6.9)14(24.1)41(57.8)P<0.00157(36.1)Tromsø 711(4.6)39(21.2)33(48.5)P<0.00183(16.8)Age and sex adjusted OR Tromsø 7/KYH (95% CI)0.48(0.09, 2.44)0.70(0.34, 1.45)0.59(0.29, 1.20)0.29(0.19, 0.44)Currently smokesKYH men6(33.3)15(53.6)28(75.7)P=0.00349(59.0)Tromsø 7 men19(17.3)30(38.0)24(57.1)P<0.00173(31.6)Age adjusted OR Tromsø 7/KYH0.43(0.13, 1.38)0.54(0.22, 1.36)0.41(0.14, 1.23)0.30(0.18, 0.51)KYH women2(18.2)9(30.0)15(44.1)P=0.0326(34.7)Tromsø 7 women33(24.6)36(30.8)17(50.0)P=0.00886(30.2)Age adjusted OR Tromsø 7/KYH1.00(0.19, 5.26)1.13(0.45, 2.85)1.71(0.52, 5.59)0.87(0.50, 1.51)Maintenance treatmentaKYH1(3.7)4(7.3)9(12.9)P=0.1214(9.2)Tromsø 717(6.9)31(15.8)28(36.8)P<0.00176(14.7)Age and sex adjusted OR Tromsø 7/KYH1.52(0.18, 12.77)2.46(0.80, 7.56)3.80(1.50, 9.63)1.56(0.85, 2.88)Short acting symptomatic treatmentbKYH0(0.0)2(3.6)5(7.1)P=0.127(4.6)Tromsø 76(2.4)17(8.7)15(19.7)P<0.00138(7.3)Age and sex adjusted OR Tromsø 7/KYH-3.18(0.68, 14.88)4.49(1.19, 16.97)1.72(0.74, 3.98)Notes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04.\n\nAwareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nNotes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04.\nAwareness of COPD There was strong evidence that awareness of COPD was lower among the Tromsø 7 participants (age and sex adjusted odds ratio 0.29 (95% CI 0.19, 0.44). However, awareness was strongly related to reporting of respiratory symptoms (Table 5) and on adjustment for respiratory symptoms this association was substantially reduced (OR 0.62 (95% CI 0.38, 1.01).\nThere was strong evidence that awareness of COPD was lower among the Tromsø 7 participants (age and sex adjusted odds ratio 0.29 (95% CI 0.19, 0.44). However, awareness was strongly related to reporting of respiratory symptoms (Table 5) and on adjustment for respiratory symptoms this association was substantially reduced (OR 0.62 (95% CI 0.38, 1.01).\nSmoking and Smoking Cessation After adjusting for age, current smoking among those with obstructive lung function was more common among the KYH participants in men (OR 3.30 95% CI 1.95, 5.61) but similar in KYH/Tromsø 7 participants in women (OR 1.15 95% CI 0.66, 2.01). In both studies, the prevalence of being a current smoker was higher among participants reporting respiratory symptoms (Table 5).\nAmong the KYH participants who had ever smoked the majority of those with obstructive lung disease plus symptoms had been advised to stop smoking by a doctor (62/90 68.9%). However, the proportion of these participants who reported they were offered assistance to stop smoking was much lower (7/90 8%).\nAfter adjusting for age, current smoking among those with obstructive lung function was more common among the KYH participants in men (OR 3.30 95% CI 1.95, 5.61) but similar in KYH/Tromsø 7 participants in women (OR 1.15 95% CI 0.66, 2.01). In both studies, the prevalence of being a current smoker was higher among participants reporting respiratory symptoms (Table 5).\nAmong the KYH participants who had ever smoked the majority of those with obstructive lung disease plus symptoms had been advised to stop smoking by a doctor (62/90 68.9%). However, the proportion of these participants who reported they were offered assistance to stop smoking was much lower (7/90 8%).\nPharmacological Management The prevalence of use of medications for COPD by study and reporting of respiratory symptoms is shown in Table 5. The majority of participants with obstructive lung function were not using medications for management of COPD. The use of medications for maintenance and for symptom relief was higher in those reporting respiratory symptoms in Tromsø 7 (test for trend p<0.001) but there was only weak evidence for an association between medication use and symptoms in KYH (test for trend p=0.12) although the numbers reporting any medication use were extremely low limiting power to detect any association. While there was no evidence for a difference in medication use between studies after adjusting for age and sex (Table 5), after additional adjustment for the level of reported symptoms there was strong evidence that the odds of receiving maintenance therapy (OR 2.90 95% CI 1.48, 5.70) and short-acting treatments (OR 3.56 95% CI 1.43, 8.87) for symptoms relief were higher for participants in Tromsø 7.\nThe prevalence of use of medications for COPD by study and reporting of respiratory symptoms is shown in Table 5. The majority of participants with obstructive lung function were not using medications for management of COPD. The use of medications for maintenance and for symptom relief was higher in those reporting respiratory symptoms in Tromsø 7 (test for trend p<0.001) but there was only weak evidence for an association between medication use and symptoms in KYH (test for trend p=0.12) although the numbers reporting any medication use were extremely low limiting power to detect any association. While there was no evidence for a difference in medication use between studies after adjusting for age and sex (Table 5), after additional adjustment for the level of reported symptoms there was strong evidence that the odds of receiving maintenance therapy (OR 2.90 95% CI 1.48, 5.70) and short-acting treatments (OR 3.56 95% CI 1.43, 8.87) for symptoms relief were higher for participants in Tromsø 7.\nImpact of Missing Data on Spirometry Testing The characteristics of those who did and did not complete the spirometry examination in both studies are shown in Supplementary Table 3. The factors associated with completing spirometry differed between the two studies. In KYH the main factor associated with spirometry was age with good evidence that those with spirometry were younger than all participants attending the health check. There was also weak evidence those with spirometry were more highly educated, had lower BMI and reported less breathlessness. In Tromsø 7, there were substantial differences in age between those with and without spirometry but in contrast to KYH those with spirometry data were older in keeping with additional inclusion of those who attended previous examinations in the sample selection. There was also evidence that those with spirometry were more likely to be women, have lower levels of education, be ex-smokers, have lower BMI, and less likely to report existing CVD.\nThe prevalence of obstructive lung disease estimated in sensitivity analyses using multiple imputation by age and sex is shown in Supplementary Figures 2A and B. The substantive findings were not different using multiple imputation to complete case analysis.\nThe characteristics of those who did and did not complete the spirometry examination in both studies are shown in Supplementary Table 3. The factors associated with completing spirometry differed between the two studies. In KYH the main factor associated with spirometry was age with good evidence that those with spirometry were younger than all participants attending the health check. There was also weak evidence those with spirometry were more highly educated, had lower BMI and reported less breathlessness. In Tromsø 7, there were substantial differences in age between those with and without spirometry but in contrast to KYH those with spirometry data were older in keeping with additional inclusion of those who attended previous examinations in the sample selection. There was also evidence that those with spirometry were more likely to be women, have lower levels of education, be ex-smokers, have lower BMI, and less likely to report existing CVD.\nThe prevalence of obstructive lung disease estimated in sensitivity analyses using multiple imputation by age and sex is shown in Supplementary Figures 2A and B. The substantive findings were not different using multiple imputation to complete case analysis.", "The crude prevalence of obstructive lung function and respiratory symptoms by sex and study is shown in Table 2. Findings after age-standardisation were similar to the crude findings. Among women the age-standardized prevalence of obstructive lung function defined by LLN was higher (age-adjusted p value=0.006) in the Tromsø 7 women (9.4%) compared to the KYH women (6.8%) while there was no evidence for a difference by study in men (KYH men 11.0%; Tromsø 7 men 9.8% age-adjusted p value=0.21).\nThe prevalence of reporting respiratory symptoms among those with obstructive lung function was substantially higher in KYH than Tromsø 7 in both men and women across all ages (Figure 1A and B). The age-standardized prevalence of COPD defined as obstructive lung function and one or more respiratory symptom was 8.3% in KYH men and 4.7% in Tromsø 7 men (age-adjusted p value<0.001). In women, this was 5.9% in KYH and 4.6% in Tromsø 7 (age-adjusted p value=0.18).Figure 1Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women.\nPrevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women.\nThe positive predictive value of any respiratory symptoms for identifying obstructive lung function was low in both studies (10.4% in KYH; 14.4% in Tromsø 7). The marked differences in reporting of respiratory symptoms between the studies were also seen in those without obstructive lung function on spirometry (Supplementary Figure 1).", "The associations between obstructive lung function and age, sex, education, smoking, BMI and self-reported CVD morbidity and interactions by study are shown in Table 3. There was no evidence for interaction in associations with age, education, smoking, BMI or self-reported CVD morbidity between the studies but there was strong evidence for a difference in association with sex (p=0.002). Women had lower odds of obstructive lung disease than men in KYH but similar odds as men in Tromsø 7. The between-study difference found in women was removed by additional adjustment for smoking history (odds ratio for association of study in women adjusted for age and pack-year history 1.02 95% CI 0.76, 1.37).Table 3Association Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total163/1883(8.7)524/5217(10.0)0.89 (0.74, 1.07)–SexMen88/787(11.2)1.00(ref)290/2831(10.2)1.00(ref)1.17 (0.90, 1.52)P=0.002Women75/1096(6.8)0.59(0.43, 0.81)234/2386(9.8)1.06(0.88, 1.27)0.69 (0.53, 0.90)Age, years40–4943/569(7.6)1.00(ref)99/1024(9.7)1.00(ref)0.77 (0.53, 1.12)P=0.6750–5953/643(8.2)1.10(0.73, 1.68)108/1242(8.7)0.88(0.67, 1.27)0.95 (0.67, 1.34)60–6967/671(10.0)1.35(0.91, 2.02)317/2951(10.7)1.13(0.89, 1.43)0.92 (0.70, 1.21)Test for trendP=0.13P=0.15EducationLower19/121(15.7)1.65(0.96, 2.85)161/1197(13.5)1.55(1.22, 1.99)1.23 (0.73, 2.07)P=0.13Middle93/991(9.4)1.00(ref)135/1499(9.0)1.00(ref)1.12 (0.84, 1.48)Higher51/771(6.6)0.71(0.49, 1.01)220/2463(8.9)0.99(0.79, 1.24)0.73 (0.53, 1.00)Test for trendP=0.004P<0.001Smoking statusNever46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.82Ex-smoker38/458(8.3)1.73(1.08, 2.77)266/2584(10.3)2.10(1.64, 2.68)0.80 (0.56, 1.15)Current smoker78/462(16.9)4.14(2.73, 6.29)161/774(20.8)4.85(3.70, 6.37)0.86 (0.63, 1.18)Smoking Pack years (ever smokers)Never smoked46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.90>0<1021/269(7.8)1.80(1.04, 3.10)106/1504(7.1)1.39(1.04, 1.86)1.04 (0.63, 1.73)10–1916/158(10.1)2.59(1.37, 4.87)121/911(13.3)2.87(2.16, 3.82)0.92 (0.52, 1.65)20–2932/208(15.4)4.59(2.66, 7.91)92/466(19.7)4.64(3.40, 6.34)0.83 (0.51, 1.37)30–3923/123(18.7)5.62(3.02, 10.47)59/250(23.6)6.13(4.25, 8.84)0.82 (0.47, 1.43)40+22/98(22.5)7.55(3.98, 14.32)35/132(26.5)7.14(4.56, 11.17)0.70 (0.35, 1.41)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.58/22(36.4)4.14 (1.65, 10.39)11/31(35.5)3.67 (1.73, 7.78)0.79 (0.18, 3.52)P=0.6018.5–24.969/535(12.9)1.00 (ref)222/1691(13.1)1.00 (ref)1.15 (0.85, 1.55)25–29.944/710(6.2)0.39 (0.26, 0.59)203/2303(8.8)0.62 (0.51, 0.77)0.70 (0.50, 0.99)30–34.525/425(5.9)0.39 (0.24, 0.63)60/901(6.7)0.46 (0.34, 0.62)0.92 (0.56, 1.50)>3516/188(8.5)0.64 (0.36, 1.14)26/284(9.2)0.66 (0.43, 1.02)0.93 (0.47, 1.82)Test for trendP<0.001P<0.001Self-reported CVD co-morbidityNo150/1710(8.8)1.00 (ref)478/4799(10.0)1.00 (ref)0.92 (0.75, 1.12)0.54Yes13/167(7.8)0.73 (0.40, 1.33)28/264(10.6)1.04 (0.69, 1.57)0.72 (0.35, 1.46)\n\nAssociation Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nThe equivalent associations between obstructive lung function plus respiratory symptoms are shown in Table 4. In contrast to findings for obstructive lung function, there was strong evidence for higher odds of obstructive lung function plus symptoms in the KYH participants after adjustment for sex and age. This was seen in all ages and across categories of education and self-reported CVD morbidity. However, there was some evidence of effect modification by sex (p=0.06), pack years history (p=0.01) and smoking status (p=0.02) with largest between-study effect in never smokers and no evidence for a between-study effect in heavier smokers, and in women.Table 4Association Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total129/1844(7.0)272/5144(5.3)1.46 (1.17, 1.83)SexMen65/770(8.4)1.00(ref)121/2347(5.1)1.00(ref)1.78 (1.30, 2.46)P=0.06Women64/1074(6.0)0.69(0.48, 0.99)151/2797(5.4)1.06(0.83, 1.35)1.23 (0.91, 1.68)Age, years40–4931/559(5.5)1.00(ref)37/1015(3.7)1.00(ref)1.58 (0.97, 2.57)P=0.8450–5944/629(7.0)1.29(0.80, 2.07)56/1224(4.6)1.26(0.83, 1.93)1.58 (1.05, 2.37)60–6954/656(8.2)1.52(0.96, 2.40)179/2905(6.2)1.74(1.21, 2.49)1.36 (0.99, 1.87)Test for trendP=0.07P<0.001EducationLower15/117(12.8)1.64(0.90. 3.00)119/1170(10.2)2.17(1.59, 2.95)1.34 (0.75, 2.38)P=0.67Middle74/968(7.6)1.00(ref)71/1483(4.8)1.00(ref)1.79 (1.27, 2.52)Higher40/759(5.3)0.69(0.46, 1.03)76/2437(3.1)0.65(0.47, 0.91)1.76 (1.18, 2.62)Test for trendP=0.007P<0.001Smoking statusNever37/943(3.9)1.50(0.87, 2.59)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.02Ex-smoker25/451(5.5)1.00(ref)138/2563(5.4)3.55(2.33, 5.39)1.19 (0.75, 1.87)Current smoker67/450(14.9)4.70(2.98, 7.42)107/764(14.0)10.52(6.83, 16.20)1.18 (0.83, 1.67)Smoking Pack yearsNever smoked37/943(3.9)1.00(ref)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.01>0<1018/264(6.8)1.98(1.10, 3.56)41/1491(2.8)1.80(1.10, 2.94)2.89 (1.57, 5.30)10–1913/157(8.3)2.88(1.44, 5.78)65/898(7.2)5.09(3.22, 8.04)1.46 (0.75, 2.83)20–2923/200(11.5)4.44(2.40, 8.21)64/464(13.8)10.31(6.47, 16.43)1.01 (0.57, 1.79)30–3917/120(14.2)5.37(2.67, 10.81)41/250(16.4)13.36(7.97, 22.39)0.95 (0.50, 1.80)40+19/98(19.4)8.45(4.22, 16.90)28/131(21.4)18.40(10.34, 32.75)0.66 (0.31, 1.40)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.55/21(23.8)3.00 (1.04, 8.64)7/31(22.6)4.78 (2.00, 11.46)0.94 (0.16, 5.45)P=0.1418.5–24.953/525(10.1)1.00 (ref)95/1672(5.7)1.00 (ref)2.55 (1.75, 3.72)25–29.938/693(5.5)0.45 (0.29, 0.71)110/2267(4.9)0.82 (0.62, 1.10)1.19 (0.81, 1.75)30–34.521/420(5.0)0.42 (0.25, 0.71)39/887(4.4)0.74 (0.51, 1.10)1.20 (0.69, 2.10)>3511/183(6.0)0.54 (0.27, 1.07)19/280(6.8)1.24 (0.74, 2.06)0.87 (0.39, 1.94)Test for trendp<0.001p=0.22Self-reported CVD co-morbidityNo115/1677(6.9)1.00 (ref)242/4734(5.1)1.00 (ref)1.52 (1.20, 1.93)P=0.74Yes13/161(8.1)0.99 (0.54, 1.83)17/258(6.6)1.19 (0.71, 1.99)1.27 (0.58, 2.76)\n\nAssociation Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nIn sensitivity analysis using the stricter definition of respiratory symptoms (Supplementary Table 1), the between study difference was larger. There remained evidence for effect modification by pack-years smoked (no between study difference in heavier smokers >20 pack-years) but there was no evidence for effect modification by the other risk factors.\nObserved interactions between age and pack-year history within each study are shown in Supplementary Table 2. There was some evidence for interaction between age and pack-year history after adjusting for sex for the outcome obstructive lung function for Tromsø 7 with stronger association between pack-year history and age in the older participants (p=0.06). Conversely, there was good evidence for interaction between age and smoking pack-year history for obstructive lung function plus one of more respiratory symptoms but with stronger association between pack-year history and the outcome in the younger age groups (p=0.01). There was no evidence for interactions between age and pack-year history with obstructive lung function for KYH (p=0.18) or obstructive lung function plus 1 or more symptoms in Tromsø 7 (p=0.46).", "The levels of awareness and management among those with obstructive lung function by study, sex and reported respiratory symptoms are shown in Table 5. There was evidence for a difference in the between-study association with current smoking by sex therefore associations for current smoking are shown stratified by sex. There was no evidence for an interaction between sex and study for levels of awareness (test for interaction p=0.44) and pharmacological managements (maintenance treatment test for interaction p=0.37; relief of symptoms p=0.91).Table 5Awareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016No Symptoms (n=29 KYH) (n=246 Tromsø 7)Cough or Breathless (n=58 KYH) (n=196 Tromsø 7)Cough and Breathless (n=71 KYH) (n=76 Tromsø 7)Test for Trend with Symptoms (Adjusted Age and Sex)Total (n=158 KYH*) (n=493 Tromsø 7)N(%)N(%)N(%)N(%)Self-report ever diagnosedKYH2(6.9)14(24.1)41(57.8)P<0.00157(36.1)Tromsø 711(4.6)39(21.2)33(48.5)P<0.00183(16.8)Age and sex adjusted OR Tromsø 7/KYH (95% CI)0.48(0.09, 2.44)0.70(0.34, 1.45)0.59(0.29, 1.20)0.29(0.19, 0.44)Currently smokesKYH men6(33.3)15(53.6)28(75.7)P=0.00349(59.0)Tromsø 7 men19(17.3)30(38.0)24(57.1)P<0.00173(31.6)Age adjusted OR Tromsø 7/KYH0.43(0.13, 1.38)0.54(0.22, 1.36)0.41(0.14, 1.23)0.30(0.18, 0.51)KYH women2(18.2)9(30.0)15(44.1)P=0.0326(34.7)Tromsø 7 women33(24.6)36(30.8)17(50.0)P=0.00886(30.2)Age adjusted OR Tromsø 7/KYH1.00(0.19, 5.26)1.13(0.45, 2.85)1.71(0.52, 5.59)0.87(0.50, 1.51)Maintenance treatmentaKYH1(3.7)4(7.3)9(12.9)P=0.1214(9.2)Tromsø 717(6.9)31(15.8)28(36.8)P<0.00176(14.7)Age and sex adjusted OR Tromsø 7/KYH1.52(0.18, 12.77)2.46(0.80, 7.56)3.80(1.50, 9.63)1.56(0.85, 2.88)Short acting symptomatic treatmentbKYH0(0.0)2(3.6)5(7.1)P=0.127(4.6)Tromsø 76(2.4)17(8.7)15(19.7)P<0.00138(7.3)Age and sex adjusted OR Tromsø 7/KYH-3.18(0.68, 14.88)4.49(1.19, 16.97)1.72(0.74, 3.98)Notes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04.\n\nAwareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nNotes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04.", "There was strong evidence that awareness of COPD was lower among the Tromsø 7 participants (age and sex adjusted odds ratio 0.29 (95% CI 0.19, 0.44). However, awareness was strongly related to reporting of respiratory symptoms (Table 5) and on adjustment for respiratory symptoms this association was substantially reduced (OR 0.62 (95% CI 0.38, 1.01).", "After adjusting for age, current smoking among those with obstructive lung function was more common among the KYH participants in men (OR 3.30 95% CI 1.95, 5.61) but similar in KYH/Tromsø 7 participants in women (OR 1.15 95% CI 0.66, 2.01). In both studies, the prevalence of being a current smoker was higher among participants reporting respiratory symptoms (Table 5).\nAmong the KYH participants who had ever smoked the majority of those with obstructive lung disease plus symptoms had been advised to stop smoking by a doctor (62/90 68.9%). However, the proportion of these participants who reported they were offered assistance to stop smoking was much lower (7/90 8%).", "The prevalence of use of medications for COPD by study and reporting of respiratory symptoms is shown in Table 5. The majority of participants with obstructive lung function were not using medications for management of COPD. The use of medications for maintenance and for symptom relief was higher in those reporting respiratory symptoms in Tromsø 7 (test for trend p<0.001) but there was only weak evidence for an association between medication use and symptoms in KYH (test for trend p=0.12) although the numbers reporting any medication use were extremely low limiting power to detect any association. While there was no evidence for a difference in medication use between studies after adjusting for age and sex (Table 5), after additional adjustment for the level of reported symptoms there was strong evidence that the odds of receiving maintenance therapy (OR 2.90 95% CI 1.48, 5.70) and short-acting treatments (OR 3.56 95% CI 1.43, 8.87) for symptoms relief were higher for participants in Tromsø 7.", "The characteristics of those who did and did not complete the spirometry examination in both studies are shown in Supplementary Table 3. The factors associated with completing spirometry differed between the two studies. In KYH the main factor associated with spirometry was age with good evidence that those with spirometry were younger than all participants attending the health check. There was also weak evidence those with spirometry were more highly educated, had lower BMI and reported less breathlessness. In Tromsø 7, there were substantial differences in age between those with and without spirometry but in contrast to KYH those with spirometry data were older in keeping with additional inclusion of those who attended previous examinations in the sample selection. There was also evidence that those with spirometry were more likely to be women, have lower levels of education, be ex-smokers, have lower BMI, and less likely to report existing CVD.\nThe prevalence of obstructive lung disease estimated in sensitivity analyses using multiple imputation by age and sex is shown in Supplementary Figures 2A and B. The substantive findings were not different using multiple imputation to complete case analysis.", "In this study comparing prevalence of obstructive lung function between participants aged 40–69 years taking part in population-based studies in Russia and Norway we found no evidence for a difference in obstructive lung function in men, but higher prevalence of obstructive lung function in the Norwegian compared to Russian women, which was explained by differences in smoking history. In contrast, the prevalence of COPD defined as both obstructive lung function and respiratory symptoms was higher among both men and women in the Russian study. There was a strikingly high prevalence of respiratory symptoms among Russian participants both among those who had an obstructive lung function pattern on spirometry but also in participants without obstructive lung function, reflecting very different patterns of symptom reporting in the two populations.\nThe age-standardized prevalence of obstructive lung function (pre-bronchodilator) among the Russian participants was 11.0% using the GLI-LLN normal definition in men and 6.8% in women. This is higher than the findings from pre-bronchodilator spirometry tests reported by Andreeva et al in the RESPECT study in North-West Russia (9.6% in men 4.8% in women)13 and the Ural (5.8% total population).15 The findings among the Tromsø Study participants were also higher than estimates from the HUNT study from central Norway in 2006–2008 (7.3%).19 Prevalences using a fixed cut point rather than LLN were more similar to a previous study from Novosibirsk from 2002–5 which found 19.5% (23.5% in men and 16.0% in women) using a broader definition of airway obstruction on spirometry (FEV1/FVC ratio <0.7 or FEV1,<80%).14 In this study, we did not find any evidence for a difference in the prevalence of obstructive lung function between men in the Russian and Norwegian studies. This is surprising given historically very high smoking prevalence among Russian men.7 Despite recent declines in smoking in Russia,28 we did find here that the prevalence of current smoking and pack-year history was higher among the Russian than the Norwegian men. However, there was also a high prevalence of ex-smokers in the Norwegian sample therefore the current lung function damage in this sample could be attributable to higher levels of smoking in Norway in the past. There was no statistical evidence for a higher burden of airway obstruction in the Russian men, although the actual prevalence was slightly higher in the older ages group (60–69 years). The lower than anticipated estimates of obstructive lung function in Russian men found here and in previous studies are difficult to interpret but given the very high premature CVD mortality in Russian men in this age range, differential survival may play a role. There was no evidence for an association with COPD and self-report of MI or stroke in this study in keeping with this, however it is important to note our measure was based on self-reported disease only which could have been affected by measurement error, there was a small number of cases and we did not include a detailed investigation of the relationships with all CVD outcomes. The high burden of CVD mortality in Russia makes investigation of cardiovascular and respiratory co-morbidity in this population an important area to investigate in more depth. Prospective studies to investigate the incidence of COPD are also needed.\nIn contrast to findings from spirometry testing, there were striking differences between the Russian and Norwegian participants with regards to reporting of symptoms. The high burden of respiratory symptoms in the Russian study population is important given increasing evidence that respiratory symptoms among smokers are associated with poorer outcomes including a higher rate of respiratory infections, impaired exercise capacity, airway thickening, and poorer quality of life even in the absence of obstructive lung function on spirometry.29,30 In a prospective study of 596 smokers and former smokers aged 70–79 years mortality was similar in those with dyspnoea but no obstructive lung function compared to those with obstructive lung function without dyspnoea.31 Several previous studies have found the prevalence of reported respiratory symptoms is very high in Russia consistent with the levels of breathlessness and chronic cough found here.10–13 Only two of these studies also included findings from spirometry. In the study by Chuchalin et al spirometry was only conducted in those who reported either respiratory symptoms or risk factors, of whom 21.8% also had airway obstruction.11 Andreeva et al reported on data from both lung function testing and respiratory symptoms and found that the positive predictive value of respiratory symptoms for identifying obstructive lung function was low (8%)13 which was similar to findings in this study in both Russian (10%) and Norwegian participants (14%). Here we also found a high prevalence of respiratory symptoms in the Russian study population in those without obstructive lung function suggesting there are other explanations aside from COPD per se for high burden of respiratory symptoms found here and in previous studies in Russia. The symptoms considered here (cough and breathlessness) are non-specific and may be caused by many factors including both other respiratory diseases (for instance lower respiratory tract infection was the 6th and tuberculosis the 18th leading cause of death in Russia in 20161) and non-respiratory causes. For example, the differences in levels of breathlessness in the population may be related to anxiety, physical fitness, levels of obesity or other co-morbidities in particular heart failure. Differences in air pollution may also play an important role as well as possible cultural differences in the interpretation or perception of symptoms. The lower levels of use of medications found here among the Russian participants with obstructive lung function could also be a factor with differences in management influencing levels of symptom control. Due to the cross-sectional nature of the data, we could not investigate this hypothesis here due to strong possibility of confounding by indication (those with symptoms were more likely to receive medication due to increased need).\nThe presence of respiratory symptoms in those with obstructive lung function was important when comparing awareness and management of COPD between the two studies. Among those with obstructive lung disease, respiratory symptoms were associated in a dose-response manner with higher awareness of disease, smoking and among the Norwegian participants the use of medications for management of COPD. The relatively large asymptomatic group of Norwegian participants with obstructive lung disease as defined by spirometry were less likely to report a diagnosis or any pharmacological treatment. However, higher levels of awareness among the Russian participants did not translate into correspondingly better pharmacological management as levels of pharmacological treatment were low while many participants continued to smoke. Smoking cessation is a key part of the management of COPD. The prevalence of smoking in those with obstructive lung function was particularly high in the Russian men (59% current smokers) compared to approximately 30% in the Norwegian participants and Russian women. In the KYH study, some additional questions about smoking cessation were asked to smokers. While the majority of the Russian participants who had both obstructive lung function and respiratory symptoms had been advised by a doctor to stop smoking, only 8% of this high-risk group reported they had been offered assistance to stop. Increasing the availability of smoking cessation treatments could have a substantial benefit in reducing the burden from COPD and other smoking-related disease.\nThis study has several limitations which should be considered on interpreting the findings:\nFirst, here we have estimated prevalence of obstructive lung function (with respiratory symptoms) in participants in population-based studies. It is likely the findings may have been affected by selection bias. While we investigated the potential impact on the findings of using a sub-set of participants and found no evidence that this had a substantial impact of the prevalence of obstructive lung disease, there may still be bias in the extent to which participants are representative of their respective populations. The proportion of invited participants who took part in the studies overall was 22% for Novosibirsk, 60% for Arkhangelsk21 and 65% for Tromsø 7.32 It is plausible attendance was differential by lung function status, as those with very severe respiratory disease may be less likely to take part. Any selection bias will have affected the prevalence estimates reported here and these should be interpreted with caution. Furthermore, the studies took place in two cities in Russia and one municipality in Norway, therefore prevalence estimates may not be generalizable to the whole of both countries. However, comparisons of use of COPD medication as maintenance treatment within the Norwegian Prescription Database (NorPD) show that use in the Troms and Finnmark county was very close to Norway as a whole in 2016.33\nSecondly, in both studies only pre-bronchodilator spirometry was conducted while for a diagnosis of COPD spirometry should also be conducted post-bronchodilator in order to demonstrate irreversible airflow limitation, therefore some participants with reversible airflow limitation may have been misclassified. Sputum production was also not assessed in either study. The two studies used different spirometry devices which may have limited the comparability of the results although protocols for data collection were similar and procedures for quality control were harmonised. The questions on chronic cough were also not identical although the questions on breathlessness in both studies were measured using the same standardized tool. Translation of the questions on breathlessness to Russian and Norwegian were cross-checked by a speaker of both languages and found to be consistent in meaning. While measurement error due to differences in how questions on respiratory symptoms were asked is possible it does not seem sufficient to account for the huge differences in reporting of symptoms observed in this study. However, cultural differences in the perception of symptoms for example understanding of the concept of breathlessness may play a role in accounting for the large population level differences observed in this study. Finally, we were restricted in assessing management to pharmacological management and have not been able to compare other non-pharmacological aspects of COPD management such as participation in pulmonary rehabilitation programmes.\nIn conclusion, we have found that the burden of obstructive lung disease on spirometry was similar in participants taking part in population-based studies in Norway and Russia but there was a strikingly high burden of respiratory symptoms among the Russian participants. Further work is needed to understand the reasons and implications for health of this high prevalence of chronic cough and breathlessness. The contribution of cardiovascular disease, in particularly heart failure, here as well as further understanding of the burden of respiratory and cardiovascular co-morbidity are important areas to investigate. There were low levels of smoking cessation and use of medications in both study populations in participants identified with COPD indicating management of COPD could be improved in both countries." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Introduction", "Methods", "Study Populations", "Know Your Heart Study Sample (Russia)", "The Tromsø Study Sample (Norway)", "Spirometry Assessment", "Outcome", "Risk Factors", "Awareness of COPD", "Management of COPD", "Statistical Analysis", "Sensitivity Analysis to Investigate the Impact of Missing Data", "Results", "Prevalence of Obstructive Lung Function and Respiratory Symptoms", "Interaction in the Between-Study Differences by Sex, Age, Education, Smoking, BMI and Self-Reported CVD", "Awareness and Management Among Those with Obstructive Lung Function", "Awareness of COPD", "Smoking and Smoking Cessation", "Pharmacological Management", "Impact of Missing Data on Spirometry Testing", "Discussion" ]
[ "Despite recent declines, premature mortality remains a major public health concern in Russia.1 Respiratory diseases contribute substantially with Chronic Obstructive Pulmonary Disease (COPD) estimated as the 14th leading cause of death in Russia in 2016 while respiratory infection was the 6th leading cause of death.1 COPD is strongly related to cardiovascular disease (CVD)2,3 and in many patients with COPD cardiovascular disease is the underlying cause of death.4–6 In Russia, there is a high prevalence of smoking in men,7 which is a major risk factor for COPD. Occupational exposure to vapours, dust and fumes may also lead to increased risk among certain groups.8 It is important to quantify and understand the burden of COPD within Russia, particularly in a country with one of the highest rates of CVD mortality in the world.9\nFour population-based surveys have found high levels of reporting of respiratory symptoms in the Russian general population10–13 but only two of these studies also included spirometry testing.11,13 In a cross-sectional survey of 7164 adults aged 18 or older living in 12 regions of Russia (2010–2011), spirometry was used to diagnose COPD among those who reported any respiratory symptoms or risk factors for chronic respiratory disease11. Chuchalin et al11 extrapolated results from spirometry testing in this study to estimate that the prevalence of symptomatic COPD (symptoms plus forced expiratory volume in 1 second (FEV1): Forced vital capacity (FVC) ratio<0.7) in the total study population was 15.3%. Estimates of airway obstruction from the earlier HAPIEE study (2002–2005) from 6875 men and women aged 45–69 years old in the city of Novosibirsk were even higher at 19.5% (23.5% in men and 16.0% in women) using a broader definition of airway obstruction on spirometry (FEV1/FVC ratio <0.7 or FEV1,<80%).14 However, a study of 2975 adults aged 35–70 living in North West Russia (2012–13) found a substantially lower prevalence of airway obstruction of 6.8% using a fixed FEV1:FVC ratio<0.7 and 4.8% using the Global Lung Initiative Lower Limit of Normal (GLI-LLN) cut off with a substantial sex difference (higher in men (9.6%) than women (4.8%)).13 This was consistent with estimates from pre-bronchodilator spirometry from a later study of 5899 adults aged 40–94 in the Russian region of Bashkortostan which found a prevalence of airway obstruction using LLN of 5.8% (6.8% using fixed cut point).15 These prevalence estimates are lower than might be expected given the high burden of smoking7 and self-reported respiratory symptoms10–13 in the Russian general population.\nIn quantifying the prevalence and relative disease burden from COPD in Russia findings need to be compared in context with studies from other populations. However, making comparisons between population-based studies is complex. Estimated prevalence of COPD can vary widely depending on the criteria used for case definition.16,17 Prevalence of COPD in Norway, a neighbouring country to Russia with a different mortality and risk factor profile, shows considerable variation. Estimates from the BOLD study site in Bergen (2006) which used spirometry only found the prevalence was 11% using postbronchodilator fixed cut point among adults aged 52–60.18 Findings from the population-based HUNT-3 study in the county of Nord-Trøndelag (2006–2008) found a prevalence of 14.5% using a fixed cut point and 7.3% from LLN in adults aged over 40 on pre-bronchodilator spirometric assessment.19 Analyses of changes in COPD prevalence over time within the Tromsø Study in the municipality of Tromsø have shown COPD prevalences have been declining since 2001 in line with declines in smoking, with the most recent estimates from 2015–2016 of 9.7% in men and 10.0% in women aged 40–84 using LLN and 5.6% in both sexes when including respiratory symptoms within the definition.20 However, to compare estimated COPD prevalence from Russia with studies from other settings is difficult given differences in age range, COPD definition and time frames.\nHere we investigated prevalence of both obstructive lung disease and respiratory symptoms in a population-based study conducted in two Russian cities and compared the findings with a similar study from Norway conducted in the same time period using the same definitions of COPD for both studies. Among those with evidence of COPD, we compared levels of awareness and management (smoking cessation, use of pharmacological treatments) between the study populations.", "Study Populations The study population was a sub-sample of participants aged 40–69 years taking part in the two population-based health surveys the Know Your Heart (KYH) Study21 conducted in the Russian cities of Arkhangelsk and Novosibirsk (2015–18) and the seventh survey of the Tromsø Study22 (Tromsø 7) conducted in the Norwegian municipality of Tromsø (2015–16). These studies were conducted in parallel and several aspects of data collection between the studies have been harmonized (including the measurement of breathlessness, quality criteria for spirometry and ATC coding of medications) providing a unique opportunity to compare lung function between general population samples in both countries.\nThe study population was a sub-sample of participants aged 40–69 years taking part in the two population-based health surveys the Know Your Heart (KYH) Study21 conducted in the Russian cities of Arkhangelsk and Novosibirsk (2015–18) and the seventh survey of the Tromsø Study22 (Tromsø 7) conducted in the Norwegian municipality of Tromsø (2015–16). These studies were conducted in parallel and several aspects of data collection between the studies have been harmonized (including the measurement of breathlessness, quality criteria for spirometry and ATC coding of medications) providing a unique opportunity to compare lung function between general population samples in both countries.\nKnow Your Heart Study Sample (Russia) Participants were identified from a population register of addresses and a random sample stratified by age, sex and district was selected (n=15,284 aged 40–69). Trained interviewers visited the addresses and invited participants to take part in the study. Participants who agreed to take part completed an interviewer-administered questionnaire which included questions on socio-demographic factors and self-reported morbidities (n=4654 aged 40–69). Participants were then invited to a health check which included a further questionnaire and a comprehensive medical examination (n= 4044 aged 40–69). Spirometry was an additional component of the health check offered to approximately 50% of participants. Selection of participants, for practical reasons, was determined by the day of the week that medical professionals trained in these procedures were available. The days of the week when spirometry was offered were varied throughout the fieldwork in order to minimize selection bias. Contra-indications for spirometry were: chest infection in the last month (ie, influenza, bronchitis, severe cold, pneumonia); history of detached retina; myocardial infarction in the past month; surgery to eyes, chest or abdomen in last 3 months; history of a collapsed lung; pregnancy (1st or 3rd trimester); currently on medications for tuberculosis.\nUptake was high among those to whom it was offered (94.9% of participants invited to spirometry completed the examination) and in total lung function data are available for 45.7% of participants who attended the health check (n=1883 aged 40–69). Data on use of medications, smoking and self-report of respiratory symptoms were collected for all participants attending the health check.\nParticipants were identified from a population register of addresses and a random sample stratified by age, sex and district was selected (n=15,284 aged 40–69). Trained interviewers visited the addresses and invited participants to take part in the study. Participants who agreed to take part completed an interviewer-administered questionnaire which included questions on socio-demographic factors and self-reported morbidities (n=4654 aged 40–69). Participants were then invited to a health check which included a further questionnaire and a comprehensive medical examination (n= 4044 aged 40–69). Spirometry was an additional component of the health check offered to approximately 50% of participants. Selection of participants, for practical reasons, was determined by the day of the week that medical professionals trained in these procedures were available. The days of the week when spirometry was offered were varied throughout the fieldwork in order to minimize selection bias. Contra-indications for spirometry were: chest infection in the last month (ie, influenza, bronchitis, severe cold, pneumonia); history of detached retina; myocardial infarction in the past month; surgery to eyes, chest or abdomen in last 3 months; history of a collapsed lung; pregnancy (1st or 3rd trimester); currently on medications for tuberculosis.\nUptake was high among those to whom it was offered (94.9% of participants invited to spirometry completed the examination) and in total lung function data are available for 45.7% of participants who attended the health check (n=1883 aged 40–69). Data on use of medications, smoking and self-report of respiratory symptoms were collected for all participants attending the health check.\nThe Tromsø Study Sample (Norway) All inhabitants aged 40 and older were invited to take part in Tromsø 7 (n=32,591). Participants underwent a basic examination which involved questionnaires and interviews, biological sampling and clinical examinations (n=21,083 of which n=17,646 were aged 40–69). A subset of participants (randomly pre-marked before attendance with addition of previous participants from Tromsø 6 2007–2008) were invited to take part in extended examinations including spirometry. There were no contra-indications for spirometry assessment. In total spirometry was conducted on 5217 participants in the required age range.\nAll inhabitants aged 40 and older were invited to take part in Tromsø 7 (n=32,591). Participants underwent a basic examination which involved questionnaires and interviews, biological sampling and clinical examinations (n=21,083 of which n=17,646 were aged 40–69). A subset of participants (randomly pre-marked before attendance with addition of previous participants from Tromsø 6 2007–2008) were invited to take part in extended examinations including spirometry. There were no contra-indications for spirometry assessment. In total spirometry was conducted on 5217 participants in the required age range.\nSpirometry Assessment In KYH Spirometry was conducted using 6800 Pneumotrac spirometers (Vitalograph®, UK) and in Tromsø 7 using Vmax® Encore devices (Sensormedics® Corporation, USA). The spirometry examination took place alongside several other clinical examinations in both studies. Post-bronchodilator measurements were not taken in order to minimize burden for participants.\nFor both studies, three measurements were taken. If less than 2 of the measures were acceptable then additional measurements were taken up to a maximum of eight. Maximum FEV1 and maximum FVC were used in analyses not necessarily from the same blow. Following data collection acceptability and reproducibility of results were determined by 1) removing blows where FEV1 was less than 300 mL and 2) excluding values where FEV3 was the same or greater than FVC. For Tromsø 7 the curves from the study were assessed and cleaned manually by the study team responsible for data collection. For KYH cases where the difference between maximum values and the second highest value for FEV1 and FVC were greater than 250 mL were evaluated. In cases where the maximum value is found to be an outlier (difference between 2nd and 3rd max<250mL) compared to other values the next highest value was used. Otherwise, the maximum was used.\nIn KYH Spirometry was conducted using 6800 Pneumotrac spirometers (Vitalograph®, UK) and in Tromsø 7 using Vmax® Encore devices (Sensormedics® Corporation, USA). The spirometry examination took place alongside several other clinical examinations in both studies. Post-bronchodilator measurements were not taken in order to minimize burden for participants.\nFor both studies, three measurements were taken. If less than 2 of the measures were acceptable then additional measurements were taken up to a maximum of eight. Maximum FEV1 and maximum FVC were used in analyses not necessarily from the same blow. Following data collection acceptability and reproducibility of results were determined by 1) removing blows where FEV1 was less than 300 mL and 2) excluding values where FEV3 was the same or greater than FVC. For Tromsø 7 the curves from the study were assessed and cleaned manually by the study team responsible for data collection. For KYH cases where the difference between maximum values and the second highest value for FEV1 and FVC were greater than 250 mL were evaluated. In cases where the maximum value is found to be an outlier (difference between 2nd and 3rd max<250mL) compared to other values the next highest value was used. Otherwise, the maximum was used.\nOutcome The primary outcome definition was pre-bronchodilator FEV1: FVC ratio<Lower Limit Normal (LLN) with and without self-reported respiratory symptoms. LLN was calculated from the GLI LLN equations23 specifying ethnicity as white using GLI-2012 Desktop Software for Large Data Sets.24 The secondary definition of FEV1: FVC ratio<0.7 with and without symptoms was used to investigate impact of definition of the findings.\nRespiratory symptoms were defined as chronic cough and/or breathlessness. Breathlessness was measured in both studies using the MRC breathlessness scale.25 Breathlessness was categorised as grade 2 breathlessness or above (equivalent to grade 1 on the modified mMRC dyspnoea scale) “short of breath when hurrying on the level or walking up a slight hill”. Chronic cough was defined from the questions in Table 1. If participants answered “yes” to any of the questions on cough they were considered to have a chronic cough. Sensitivity analyses were conducted using a stricter definition of both breathlessness and cough to define respiratory symptoms.Table 1Questions on Chronic CoughKnow Your HeartTromsø 7Do you usually cough first thing in the morning in winter?Do you cough about daily for some periods of the year?Do you usually cough during the day or at night in winter?If you cough about daily for some periods of the year, is your cough productive?Do you cough like this on most days for as much as three months each year?If you cough about daily for some periods of the year, have you had this kind of cough for as long as 3 months in each of the last two years?Do you usually bring up phlegm from your chest first thing in the morning in winter?Do you usually bring up any phlegm from your chest during the day- or at night – in winter?Do you bring up phlegm like this on most days for as much as three months each year?\n\nQuestions on Chronic Cough\nThe primary outcome definition was pre-bronchodilator FEV1: FVC ratio<Lower Limit Normal (LLN) with and without self-reported respiratory symptoms. LLN was calculated from the GLI LLN equations23 specifying ethnicity as white using GLI-2012 Desktop Software for Large Data Sets.24 The secondary definition of FEV1: FVC ratio<0.7 with and without symptoms was used to investigate impact of definition of the findings.\nRespiratory symptoms were defined as chronic cough and/or breathlessness. Breathlessness was measured in both studies using the MRC breathlessness scale.25 Breathlessness was categorised as grade 2 breathlessness or above (equivalent to grade 1 on the modified mMRC dyspnoea scale) “short of breath when hurrying on the level or walking up a slight hill”. Chronic cough was defined from the questions in Table 1. If participants answered “yes” to any of the questions on cough they were considered to have a chronic cough. Sensitivity analyses were conducted using a stricter definition of both breathlessness and cough to define respiratory symptoms.Table 1Questions on Chronic CoughKnow Your HeartTromsø 7Do you usually cough first thing in the morning in winter?Do you cough about daily for some periods of the year?Do you usually cough during the day or at night in winter?If you cough about daily for some periods of the year, is your cough productive?Do you cough like this on most days for as much as three months each year?If you cough about daily for some periods of the year, have you had this kind of cough for as long as 3 months in each of the last two years?Do you usually bring up phlegm from your chest first thing in the morning in winter?Do you usually bring up any phlegm from your chest during the day- or at night – in winter?Do you bring up phlegm like this on most days for as much as three months each year?\n\nQuestions on Chronic Cough\nRisk Factors Risk factors measured were age, sex, education, smoking status (never, ex-smoker, current smoker) and pack-year history calculated from questions on years smoked and number of cigarettes smoked per day, and body mass index (BMI) calculated from measured height and weight. Education was coded into three categories (lower, middle and higher) based on the education system within each country. In KYH these groups were lower (incomplete secondary and vocational no secondary), middle (complete secondary, vocational and secondary, specialised secondary) and higher (incomplete higher, higher) education. For Tromsø 7, these were lower (primary) middle (upper secondary) and higher (university/university college) education. Current smokers in both studies included participants those who smoked less than daily (KYH n=26; Tromsø 7 n=350).\nAn indicator of existing CVD based on self-reported stroke and/or myocardial infarction was also included as an important factor associated with respiratory disease with different expected prevalence between the two studies.\nRisk factors measured were age, sex, education, smoking status (never, ex-smoker, current smoker) and pack-year history calculated from questions on years smoked and number of cigarettes smoked per day, and body mass index (BMI) calculated from measured height and weight. Education was coded into three categories (lower, middle and higher) based on the education system within each country. In KYH these groups were lower (incomplete secondary and vocational no secondary), middle (complete secondary, vocational and secondary, specialised secondary) and higher (incomplete higher, higher) education. For Tromsø 7, these were lower (primary) middle (upper secondary) and higher (university/university college) education. Current smokers in both studies included participants those who smoked less than daily (KYH n=26; Tromsø 7 n=350).\nAn indicator of existing CVD based on self-reported stroke and/or myocardial infarction was also included as an important factor associated with respiratory disease with different expected prevalence between the two studies.\nAwareness of COPD Awareness was assessed from self-report of chronic lung disease. In KYH this was assessed with the question “Have you ever been told by a doctor (been diagnosed) that you have chronic bronchitis/COPD?” In Tromsø 7 this question was “Have you ever had, or do you have chronic bronchitis/emphysema/COPD?”. Participants who reported they had a diagnosis either now or previously were categorised as aware of COPD status.\nAwareness was assessed from self-report of chronic lung disease. In KYH this was assessed with the question “Have you ever been told by a doctor (been diagnosed) that you have chronic bronchitis/COPD?” In Tromsø 7 this question was “Have you ever had, or do you have chronic bronchitis/emphysema/COPD?”. Participants who reported they had a diagnosis either now or previously were categorised as aware of COPD status.\nManagement of COPD Management of COPD was compared on two levels: smoking cessation and pharmacological management according to Global Initiative for Chronic Obstructive Disease (GOLD) guidelines.26\nLevels of smoking cessation were assessed by comparing the proportion of those with obstructive lung function ± respiratory symptoms who were current smokers. In the KYH two additional questions on smoking cessation advice and assistance were asked to participants who reported they were smokers “Have you ever been advised by a medical professional (your GP, cardiologist, any other physician) to stop smoking?” and “was any assistance offered?”\nFor both studies, data on use of current medications were collected and coded in accordance with the International WHO Anatomical Therapeutic Chemical (ATC) classification system version 2016.27 Pharmacological treatment was compared across two domains of use applicable to participants in population-based studies: maintenance treatment and short-acting symptomatic treatment. Maintenance treatment was defined as the use of long-acting muscarinic antagonists (R03BB) (LAMA); long-acting beta-2 agonists (R03AC12, 13, 18 and 19) (LABA); combination of long-acting beta-2 agonists with steroids or long-acting muscarinics (R03AK, R03AL); theophylline (R03DA04); roflumilast (R03DX07)). Short-acting symptomatic treatment was defined as the use of short-acting beta agonists (R03AC02, 03, 04)).\nManagement of COPD was compared on two levels: smoking cessation and pharmacological management according to Global Initiative for Chronic Obstructive Disease (GOLD) guidelines.26\nLevels of smoking cessation were assessed by comparing the proportion of those with obstructive lung function ± respiratory symptoms who were current smokers. In the KYH two additional questions on smoking cessation advice and assistance were asked to participants who reported they were smokers “Have you ever been advised by a medical professional (your GP, cardiologist, any other physician) to stop smoking?” and “was any assistance offered?”\nFor both studies, data on use of current medications were collected and coded in accordance with the International WHO Anatomical Therapeutic Chemical (ATC) classification system version 2016.27 Pharmacological treatment was compared across two domains of use applicable to participants in population-based studies: maintenance treatment and short-acting symptomatic treatment. Maintenance treatment was defined as the use of long-acting muscarinic antagonists (R03BB) (LAMA); long-acting beta-2 agonists (R03AC12, 13, 18 and 19) (LABA); combination of long-acting beta-2 agonists with steroids or long-acting muscarinics (R03AK, R03AL); theophylline (R03DA04); roflumilast (R03DX07)). Short-acting symptomatic treatment was defined as the use of short-acting beta agonists (R03AC02, 03, 04)).\nStatistical Analysis The prevalence of obstructive lung function (plus symptoms) was compared by study and sex with 1) standardisation for age to the 2013 Standard European population and 2) stratification across 10 year age bands.\nDifferences in the studies in the associations with age, sex, education, smoking, BMI and self-reported CVD were investigated by fitting separate logistic regression models with the outcomes 1) obstructive lung function and 2) obstructive lung function plus symptoms and testing for interactions between study and each risk factors using likelihood ratio tests.\nInteraction between age and pack-year history was investigated within each study by fitting logistic regression models with 1) obstructive lung function and 2) obstructive lung function plus symptoms as the outcomes adjusted for sex (and city for KYH) with and without interaction terms between age and pack-year history and comparing these using likelihood ratio tests. These interactions were investigated because of observed differences in the distribution of age and pack-year history between the studies.\nPrevalence of current smoking, self-report of diagnosis, and medication use in those with obstructive lung disease was compared between the studies across levels of reported respiratory symptoms (none, one symptom or both symptoms). Differences between studies were investigated using separate logistic regression models for each outcome and study as the exposure adjusted for 1) age and sex and 2) age, sex and respiratory symptoms.\nInteraction by sex and study was investigated using likelihood ratio tests and if there was evidence suggesting interaction results were presented stratified by sex.\nThe prevalence of obstructive lung function (plus symptoms) was compared by study and sex with 1) standardisation for age to the 2013 Standard European population and 2) stratification across 10 year age bands.\nDifferences in the studies in the associations with age, sex, education, smoking, BMI and self-reported CVD were investigated by fitting separate logistic regression models with the outcomes 1) obstructive lung function and 2) obstructive lung function plus symptoms and testing for interactions between study and each risk factors using likelihood ratio tests.\nInteraction between age and pack-year history was investigated within each study by fitting logistic regression models with 1) obstructive lung function and 2) obstructive lung function plus symptoms as the outcomes adjusted for sex (and city for KYH) with and without interaction terms between age and pack-year history and comparing these using likelihood ratio tests. These interactions were investigated because of observed differences in the distribution of age and pack-year history between the studies.\nPrevalence of current smoking, self-report of diagnosis, and medication use in those with obstructive lung disease was compared between the studies across levels of reported respiratory symptoms (none, one symptom or both symptoms). Differences between studies were investigated using separate logistic regression models for each outcome and study as the exposure adjusted for 1) age and sex and 2) age, sex and respiratory symptoms.\nInteraction by sex and study was investigated using likelihood ratio tests and if there was evidence suggesting interaction results were presented stratified by sex.\nSensitivity Analysis to Investigate the Impact of Missing Data The main analyses were restricted to complete case analysis.\nAs spirometry was conducted in a sub-set of participants in both studies, the potential impact of this was investigated by comparing the characteristics of those with spirometry data to the full sample (all health check attendees for KYH, all basic examination attendees Tromsø 7).\nTo investigate whether differences in those included and excluded could have affected the estimates of prevalence of obstructive lung function (<LLN) sensitivity analyses were conducted. Separate multiple imputation models were fitted for each study imputing the outcome in those who did not complete the spirometry examination from age, sex, education, BMI, self-reported CVD, smoking status, pack-year history, chronic cough and MRC breathlessness scale.\nThe main analyses were restricted to complete case analysis.\nAs spirometry was conducted in a sub-set of participants in both studies, the potential impact of this was investigated by comparing the characteristics of those with spirometry data to the full sample (all health check attendees for KYH, all basic examination attendees Tromsø 7).\nTo investigate whether differences in those included and excluded could have affected the estimates of prevalence of obstructive lung function (<LLN) sensitivity analyses were conducted. Separate multiple imputation models were fitted for each study imputing the outcome in those who did not complete the spirometry examination from age, sex, education, BMI, self-reported CVD, smoking status, pack-year history, chronic cough and MRC breathlessness scale.", "The study population was a sub-sample of participants aged 40–69 years taking part in the two population-based health surveys the Know Your Heart (KYH) Study21 conducted in the Russian cities of Arkhangelsk and Novosibirsk (2015–18) and the seventh survey of the Tromsø Study22 (Tromsø 7) conducted in the Norwegian municipality of Tromsø (2015–16). These studies were conducted in parallel and several aspects of data collection between the studies have been harmonized (including the measurement of breathlessness, quality criteria for spirometry and ATC coding of medications) providing a unique opportunity to compare lung function between general population samples in both countries.", "Participants were identified from a population register of addresses and a random sample stratified by age, sex and district was selected (n=15,284 aged 40–69). Trained interviewers visited the addresses and invited participants to take part in the study. Participants who agreed to take part completed an interviewer-administered questionnaire which included questions on socio-demographic factors and self-reported morbidities (n=4654 aged 40–69). Participants were then invited to a health check which included a further questionnaire and a comprehensive medical examination (n= 4044 aged 40–69). Spirometry was an additional component of the health check offered to approximately 50% of participants. Selection of participants, for practical reasons, was determined by the day of the week that medical professionals trained in these procedures were available. The days of the week when spirometry was offered were varied throughout the fieldwork in order to minimize selection bias. Contra-indications for spirometry were: chest infection in the last month (ie, influenza, bronchitis, severe cold, pneumonia); history of detached retina; myocardial infarction in the past month; surgery to eyes, chest or abdomen in last 3 months; history of a collapsed lung; pregnancy (1st or 3rd trimester); currently on medications for tuberculosis.\nUptake was high among those to whom it was offered (94.9% of participants invited to spirometry completed the examination) and in total lung function data are available for 45.7% of participants who attended the health check (n=1883 aged 40–69). Data on use of medications, smoking and self-report of respiratory symptoms were collected for all participants attending the health check.", "All inhabitants aged 40 and older were invited to take part in Tromsø 7 (n=32,591). Participants underwent a basic examination which involved questionnaires and interviews, biological sampling and clinical examinations (n=21,083 of which n=17,646 were aged 40–69). A subset of participants (randomly pre-marked before attendance with addition of previous participants from Tromsø 6 2007–2008) were invited to take part in extended examinations including spirometry. There were no contra-indications for spirometry assessment. In total spirometry was conducted on 5217 participants in the required age range.", "In KYH Spirometry was conducted using 6800 Pneumotrac spirometers (Vitalograph®, UK) and in Tromsø 7 using Vmax® Encore devices (Sensormedics® Corporation, USA). The spirometry examination took place alongside several other clinical examinations in both studies. Post-bronchodilator measurements were not taken in order to minimize burden for participants.\nFor both studies, three measurements were taken. If less than 2 of the measures were acceptable then additional measurements were taken up to a maximum of eight. Maximum FEV1 and maximum FVC were used in analyses not necessarily from the same blow. Following data collection acceptability and reproducibility of results were determined by 1) removing blows where FEV1 was less than 300 mL and 2) excluding values where FEV3 was the same or greater than FVC. For Tromsø 7 the curves from the study were assessed and cleaned manually by the study team responsible for data collection. For KYH cases where the difference between maximum values and the second highest value for FEV1 and FVC were greater than 250 mL were evaluated. In cases where the maximum value is found to be an outlier (difference between 2nd and 3rd max<250mL) compared to other values the next highest value was used. Otherwise, the maximum was used.", "The primary outcome definition was pre-bronchodilator FEV1: FVC ratio<Lower Limit Normal (LLN) with and without self-reported respiratory symptoms. LLN was calculated from the GLI LLN equations23 specifying ethnicity as white using GLI-2012 Desktop Software for Large Data Sets.24 The secondary definition of FEV1: FVC ratio<0.7 with and without symptoms was used to investigate impact of definition of the findings.\nRespiratory symptoms were defined as chronic cough and/or breathlessness. Breathlessness was measured in both studies using the MRC breathlessness scale.25 Breathlessness was categorised as grade 2 breathlessness or above (equivalent to grade 1 on the modified mMRC dyspnoea scale) “short of breath when hurrying on the level or walking up a slight hill”. Chronic cough was defined from the questions in Table 1. If participants answered “yes” to any of the questions on cough they were considered to have a chronic cough. Sensitivity analyses were conducted using a stricter definition of both breathlessness and cough to define respiratory symptoms.Table 1Questions on Chronic CoughKnow Your HeartTromsø 7Do you usually cough first thing in the morning in winter?Do you cough about daily for some periods of the year?Do you usually cough during the day or at night in winter?If you cough about daily for some periods of the year, is your cough productive?Do you cough like this on most days for as much as three months each year?If you cough about daily for some periods of the year, have you had this kind of cough for as long as 3 months in each of the last two years?Do you usually bring up phlegm from your chest first thing in the morning in winter?Do you usually bring up any phlegm from your chest during the day- or at night – in winter?Do you bring up phlegm like this on most days for as much as three months each year?\n\nQuestions on Chronic Cough", "Risk factors measured were age, sex, education, smoking status (never, ex-smoker, current smoker) and pack-year history calculated from questions on years smoked and number of cigarettes smoked per day, and body mass index (BMI) calculated from measured height and weight. Education was coded into three categories (lower, middle and higher) based on the education system within each country. In KYH these groups were lower (incomplete secondary and vocational no secondary), middle (complete secondary, vocational and secondary, specialised secondary) and higher (incomplete higher, higher) education. For Tromsø 7, these were lower (primary) middle (upper secondary) and higher (university/university college) education. Current smokers in both studies included participants those who smoked less than daily (KYH n=26; Tromsø 7 n=350).\nAn indicator of existing CVD based on self-reported stroke and/or myocardial infarction was also included as an important factor associated with respiratory disease with different expected prevalence between the two studies.", "Awareness was assessed from self-report of chronic lung disease. In KYH this was assessed with the question “Have you ever been told by a doctor (been diagnosed) that you have chronic bronchitis/COPD?” In Tromsø 7 this question was “Have you ever had, or do you have chronic bronchitis/emphysema/COPD?”. Participants who reported they had a diagnosis either now or previously were categorised as aware of COPD status.", "Management of COPD was compared on two levels: smoking cessation and pharmacological management according to Global Initiative for Chronic Obstructive Disease (GOLD) guidelines.26\nLevels of smoking cessation were assessed by comparing the proportion of those with obstructive lung function ± respiratory symptoms who were current smokers. In the KYH two additional questions on smoking cessation advice and assistance were asked to participants who reported they were smokers “Have you ever been advised by a medical professional (your GP, cardiologist, any other physician) to stop smoking?” and “was any assistance offered?”\nFor both studies, data on use of current medications were collected and coded in accordance with the International WHO Anatomical Therapeutic Chemical (ATC) classification system version 2016.27 Pharmacological treatment was compared across two domains of use applicable to participants in population-based studies: maintenance treatment and short-acting symptomatic treatment. Maintenance treatment was defined as the use of long-acting muscarinic antagonists (R03BB) (LAMA); long-acting beta-2 agonists (R03AC12, 13, 18 and 19) (LABA); combination of long-acting beta-2 agonists with steroids or long-acting muscarinics (R03AK, R03AL); theophylline (R03DA04); roflumilast (R03DX07)). Short-acting symptomatic treatment was defined as the use of short-acting beta agonists (R03AC02, 03, 04)).", "The prevalence of obstructive lung function (plus symptoms) was compared by study and sex with 1) standardisation for age to the 2013 Standard European population and 2) stratification across 10 year age bands.\nDifferences in the studies in the associations with age, sex, education, smoking, BMI and self-reported CVD were investigated by fitting separate logistic regression models with the outcomes 1) obstructive lung function and 2) obstructive lung function plus symptoms and testing for interactions between study and each risk factors using likelihood ratio tests.\nInteraction between age and pack-year history was investigated within each study by fitting logistic regression models with 1) obstructive lung function and 2) obstructive lung function plus symptoms as the outcomes adjusted for sex (and city for KYH) with and without interaction terms between age and pack-year history and comparing these using likelihood ratio tests. These interactions were investigated because of observed differences in the distribution of age and pack-year history between the studies.\nPrevalence of current smoking, self-report of diagnosis, and medication use in those with obstructive lung disease was compared between the studies across levels of reported respiratory symptoms (none, one symptom or both symptoms). Differences between studies were investigated using separate logistic regression models for each outcome and study as the exposure adjusted for 1) age and sex and 2) age, sex and respiratory symptoms.\nInteraction by sex and study was investigated using likelihood ratio tests and if there was evidence suggesting interaction results were presented stratified by sex.", "The main analyses were restricted to complete case analysis.\nAs spirometry was conducted in a sub-set of participants in both studies, the potential impact of this was investigated by comparing the characteristics of those with spirometry data to the full sample (all health check attendees for KYH, all basic examination attendees Tromsø 7).\nTo investigate whether differences in those included and excluded could have affected the estimates of prevalence of obstructive lung function (<LLN) sensitivity analyses were conducted. Separate multiple imputation models were fitted for each study imputing the outcome in those who did not complete the spirometry examination from age, sex, education, BMI, self-reported CVD, smoking status, pack-year history, chronic cough and MRC breathlessness scale.", "In total there were 1883 participants in KYH (41.8% men) and 5217 participants in Tromsø 7 (45.7% men) aged 40–69 with data from spirometry. Characteristics of participants by sex and study are shown in Table 2. Although the proportion of men in the oldest age group was higher for the Tromsø 7 men, the KYH men had a higher smoking pack-year history.Table 2Characteristics of Participants by Sex and Study. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016Know Your HeartTromsø 7WomenMenWomenMenN(%)N(%)N(%)N(%)Total sample1096(100)787(100)2831(100)2386(100)Age, years40–49331(30.2)238(30.2)553(19.5)471(19.7)50–59384(35.0)259(32.9)716(25.3)526(22.1)60–69381(34.8)290(36.9)1562(55.2)1389(58.2)CityArkhangelsk538(49.1)405(51.5)––Novosibirsk558(50.9)382(48.5)––EducationLower58(5.3)63(8.0)660(23.6)537(22.7)Middle586(53.5)405(51.5)782(28.0)717(30.4)Higher452(41.2)319(40.5)1356(48.5)1107(48.9)Missing003325Smoking statusNever744(67.9)217(27.6)958(34.1)856(36.3)Ex-smoker173(15.8)285(36.3)1453(51.7)1131(47.9)Current smoker179(16.3)283(36.1)400(14.2)374(15.8)Missing022025Smoking pack years among ever smokers>0<10184(60.1)85(15.5)940(52.6)564(38.2)10–1954(17.7)104(18.9)478(26.8)433(29.3)20–2945(14.7)163(29.6)246(13.8)220(14.9)30–3914(4.6)109(19.8)83(4.6)167(11.3)40+9(2.9)89(16.2)40(2.2)92(6.2)Missing46186629Body mass index, kg/m2<18.513(1.2)9(1.2)29(1.0)2(0.1)18.5–24.9317(29.0)218(27.7)1119(39.6)572(24.0)25–29.9361(33.0)349(44.4)1095(38.7)1208(50.7)30–34.9259(23.7)166(21.1)430(15.2)471(19.8)>35144(13.2)44(5.6)154(5.5)130(5.5)Missing2143Self-reported Cardiovascular co-morbidity (stroke and/or myocardial infarction)Yes67(6.3)94(12.3)80(3.0)178(7.8)Missing242112798Chronic coughYes455(41.8)335(43.2)397(14.2)412(17.5)Missing7112731Breathlessness grade 2Yes672(62.2)306(39.3)854(30.2)593(24.9)Missing15878Respiratory symptomsNone283(26.4)316(41.0)1740(62.2)1517(64.6)Either cough or breathless467(43.5)273(35.5)873(31.2)666(28.4)Both cough and breathless324(30.2)181(23.5)184(6.6)164(7.0)Missing22173439FEV1: FVC ratio<0.7Yes123(11.2)154(19.6)542(19.2)526(22.1)FEV1: FVC ratio<LLN*Yes75(6.8)88(11.2)290(10.2)234(9.8)FEV1: FVC ratio<0.7 plus symptoms**Yes104(9.6)113(14.6)257(9.2)237(10.1)Missing22173439FEV1: FVC ratio<LLN* plus symptoms**Yes64(5.9)67(8.6)151(5.4)123(5.2)Missing22173439Ever diagnosedYes216(19.7)108(13.8)96(3.5)78(3.4)Missing139761Notes: *GLI LLN (z-score for FEV1/FVC ratio<-1.64). **Symptoms defined as cough and/or breathlessness.\n\nCharacteristics of Participants by Sex and Study. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nNotes: *GLI LLN (z-score for FEV1/FVC ratio<-1.64). **Symptoms defined as cough and/or breathlessness.\nThere was no evidence for a difference in sex-stratified prevalences of obstructive lung function between the two Russian sites after adjusting for age, and due to small numbers findings from both sites were pooled.\nPrevalence of Obstructive Lung Function and Respiratory Symptoms The crude prevalence of obstructive lung function and respiratory symptoms by sex and study is shown in Table 2. Findings after age-standardisation were similar to the crude findings. Among women the age-standardized prevalence of obstructive lung function defined by LLN was higher (age-adjusted p value=0.006) in the Tromsø 7 women (9.4%) compared to the KYH women (6.8%) while there was no evidence for a difference by study in men (KYH men 11.0%; Tromsø 7 men 9.8% age-adjusted p value=0.21).\nThe prevalence of reporting respiratory symptoms among those with obstructive lung function was substantially higher in KYH than Tromsø 7 in both men and women across all ages (Figure 1A and B). The age-standardized prevalence of COPD defined as obstructive lung function and one or more respiratory symptom was 8.3% in KYH men and 4.7% in Tromsø 7 men (age-adjusted p value<0.001). In women, this was 5.9% in KYH and 4.6% in Tromsø 7 (age-adjusted p value=0.18).Figure 1Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women.\nPrevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women.\nThe positive predictive value of any respiratory symptoms for identifying obstructive lung function was low in both studies (10.4% in KYH; 14.4% in Tromsø 7). The marked differences in reporting of respiratory symptoms between the studies were also seen in those without obstructive lung function on spirometry (Supplementary Figure 1).\nThe crude prevalence of obstructive lung function and respiratory symptoms by sex and study is shown in Table 2. Findings after age-standardisation were similar to the crude findings. Among women the age-standardized prevalence of obstructive lung function defined by LLN was higher (age-adjusted p value=0.006) in the Tromsø 7 women (9.4%) compared to the KYH women (6.8%) while there was no evidence for a difference by study in men (KYH men 11.0%; Tromsø 7 men 9.8% age-adjusted p value=0.21).\nThe prevalence of reporting respiratory symptoms among those with obstructive lung function was substantially higher in KYH than Tromsø 7 in both men and women across all ages (Figure 1A and B). The age-standardized prevalence of COPD defined as obstructive lung function and one or more respiratory symptom was 8.3% in KYH men and 4.7% in Tromsø 7 men (age-adjusted p value<0.001). In women, this was 5.9% in KYH and 4.6% in Tromsø 7 (age-adjusted p value=0.18).Figure 1Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women.\nPrevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women.\nThe positive predictive value of any respiratory symptoms for identifying obstructive lung function was low in both studies (10.4% in KYH; 14.4% in Tromsø 7). The marked differences in reporting of respiratory symptoms between the studies were also seen in those without obstructive lung function on spirometry (Supplementary Figure 1).\nInteraction in the Between-Study Differences by Sex, Age, Education, Smoking, BMI and Self-Reported CVD The associations between obstructive lung function and age, sex, education, smoking, BMI and self-reported CVD morbidity and interactions by study are shown in Table 3. There was no evidence for interaction in associations with age, education, smoking, BMI or self-reported CVD morbidity between the studies but there was strong evidence for a difference in association with sex (p=0.002). Women had lower odds of obstructive lung disease than men in KYH but similar odds as men in Tromsø 7. The between-study difference found in women was removed by additional adjustment for smoking history (odds ratio for association of study in women adjusted for age and pack-year history 1.02 95% CI 0.76, 1.37).Table 3Association Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total163/1883(8.7)524/5217(10.0)0.89 (0.74, 1.07)–SexMen88/787(11.2)1.00(ref)290/2831(10.2)1.00(ref)1.17 (0.90, 1.52)P=0.002Women75/1096(6.8)0.59(0.43, 0.81)234/2386(9.8)1.06(0.88, 1.27)0.69 (0.53, 0.90)Age, years40–4943/569(7.6)1.00(ref)99/1024(9.7)1.00(ref)0.77 (0.53, 1.12)P=0.6750–5953/643(8.2)1.10(0.73, 1.68)108/1242(8.7)0.88(0.67, 1.27)0.95 (0.67, 1.34)60–6967/671(10.0)1.35(0.91, 2.02)317/2951(10.7)1.13(0.89, 1.43)0.92 (0.70, 1.21)Test for trendP=0.13P=0.15EducationLower19/121(15.7)1.65(0.96, 2.85)161/1197(13.5)1.55(1.22, 1.99)1.23 (0.73, 2.07)P=0.13Middle93/991(9.4)1.00(ref)135/1499(9.0)1.00(ref)1.12 (0.84, 1.48)Higher51/771(6.6)0.71(0.49, 1.01)220/2463(8.9)0.99(0.79, 1.24)0.73 (0.53, 1.00)Test for trendP=0.004P<0.001Smoking statusNever46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.82Ex-smoker38/458(8.3)1.73(1.08, 2.77)266/2584(10.3)2.10(1.64, 2.68)0.80 (0.56, 1.15)Current smoker78/462(16.9)4.14(2.73, 6.29)161/774(20.8)4.85(3.70, 6.37)0.86 (0.63, 1.18)Smoking Pack years (ever smokers)Never smoked46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.90>0<1021/269(7.8)1.80(1.04, 3.10)106/1504(7.1)1.39(1.04, 1.86)1.04 (0.63, 1.73)10–1916/158(10.1)2.59(1.37, 4.87)121/911(13.3)2.87(2.16, 3.82)0.92 (0.52, 1.65)20–2932/208(15.4)4.59(2.66, 7.91)92/466(19.7)4.64(3.40, 6.34)0.83 (0.51, 1.37)30–3923/123(18.7)5.62(3.02, 10.47)59/250(23.6)6.13(4.25, 8.84)0.82 (0.47, 1.43)40+22/98(22.5)7.55(3.98, 14.32)35/132(26.5)7.14(4.56, 11.17)0.70 (0.35, 1.41)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.58/22(36.4)4.14 (1.65, 10.39)11/31(35.5)3.67 (1.73, 7.78)0.79 (0.18, 3.52)P=0.6018.5–24.969/535(12.9)1.00 (ref)222/1691(13.1)1.00 (ref)1.15 (0.85, 1.55)25–29.944/710(6.2)0.39 (0.26, 0.59)203/2303(8.8)0.62 (0.51, 0.77)0.70 (0.50, 0.99)30–34.525/425(5.9)0.39 (0.24, 0.63)60/901(6.7)0.46 (0.34, 0.62)0.92 (0.56, 1.50)>3516/188(8.5)0.64 (0.36, 1.14)26/284(9.2)0.66 (0.43, 1.02)0.93 (0.47, 1.82)Test for trendP<0.001P<0.001Self-reported CVD co-morbidityNo150/1710(8.8)1.00 (ref)478/4799(10.0)1.00 (ref)0.92 (0.75, 1.12)0.54Yes13/167(7.8)0.73 (0.40, 1.33)28/264(10.6)1.04 (0.69, 1.57)0.72 (0.35, 1.46)\n\nAssociation Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nThe equivalent associations between obstructive lung function plus respiratory symptoms are shown in Table 4. In contrast to findings for obstructive lung function, there was strong evidence for higher odds of obstructive lung function plus symptoms in the KYH participants after adjustment for sex and age. This was seen in all ages and across categories of education and self-reported CVD morbidity. However, there was some evidence of effect modification by sex (p=0.06), pack years history (p=0.01) and smoking status (p=0.02) with largest between-study effect in never smokers and no evidence for a between-study effect in heavier smokers, and in women.Table 4Association Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total129/1844(7.0)272/5144(5.3)1.46 (1.17, 1.83)SexMen65/770(8.4)1.00(ref)121/2347(5.1)1.00(ref)1.78 (1.30, 2.46)P=0.06Women64/1074(6.0)0.69(0.48, 0.99)151/2797(5.4)1.06(0.83, 1.35)1.23 (0.91, 1.68)Age, years40–4931/559(5.5)1.00(ref)37/1015(3.7)1.00(ref)1.58 (0.97, 2.57)P=0.8450–5944/629(7.0)1.29(0.80, 2.07)56/1224(4.6)1.26(0.83, 1.93)1.58 (1.05, 2.37)60–6954/656(8.2)1.52(0.96, 2.40)179/2905(6.2)1.74(1.21, 2.49)1.36 (0.99, 1.87)Test for trendP=0.07P<0.001EducationLower15/117(12.8)1.64(0.90. 3.00)119/1170(10.2)2.17(1.59, 2.95)1.34 (0.75, 2.38)P=0.67Middle74/968(7.6)1.00(ref)71/1483(4.8)1.00(ref)1.79 (1.27, 2.52)Higher40/759(5.3)0.69(0.46, 1.03)76/2437(3.1)0.65(0.47, 0.91)1.76 (1.18, 2.62)Test for trendP=0.007P<0.001Smoking statusNever37/943(3.9)1.50(0.87, 2.59)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.02Ex-smoker25/451(5.5)1.00(ref)138/2563(5.4)3.55(2.33, 5.39)1.19 (0.75, 1.87)Current smoker67/450(14.9)4.70(2.98, 7.42)107/764(14.0)10.52(6.83, 16.20)1.18 (0.83, 1.67)Smoking Pack yearsNever smoked37/943(3.9)1.00(ref)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.01>0<1018/264(6.8)1.98(1.10, 3.56)41/1491(2.8)1.80(1.10, 2.94)2.89 (1.57, 5.30)10–1913/157(8.3)2.88(1.44, 5.78)65/898(7.2)5.09(3.22, 8.04)1.46 (0.75, 2.83)20–2923/200(11.5)4.44(2.40, 8.21)64/464(13.8)10.31(6.47, 16.43)1.01 (0.57, 1.79)30–3917/120(14.2)5.37(2.67, 10.81)41/250(16.4)13.36(7.97, 22.39)0.95 (0.50, 1.80)40+19/98(19.4)8.45(4.22, 16.90)28/131(21.4)18.40(10.34, 32.75)0.66 (0.31, 1.40)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.55/21(23.8)3.00 (1.04, 8.64)7/31(22.6)4.78 (2.00, 11.46)0.94 (0.16, 5.45)P=0.1418.5–24.953/525(10.1)1.00 (ref)95/1672(5.7)1.00 (ref)2.55 (1.75, 3.72)25–29.938/693(5.5)0.45 (0.29, 0.71)110/2267(4.9)0.82 (0.62, 1.10)1.19 (0.81, 1.75)30–34.521/420(5.0)0.42 (0.25, 0.71)39/887(4.4)0.74 (0.51, 1.10)1.20 (0.69, 2.10)>3511/183(6.0)0.54 (0.27, 1.07)19/280(6.8)1.24 (0.74, 2.06)0.87 (0.39, 1.94)Test for trendp<0.001p=0.22Self-reported CVD co-morbidityNo115/1677(6.9)1.00 (ref)242/4734(5.1)1.00 (ref)1.52 (1.20, 1.93)P=0.74Yes13/161(8.1)0.99 (0.54, 1.83)17/258(6.6)1.19 (0.71, 1.99)1.27 (0.58, 2.76)\n\nAssociation Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nIn sensitivity analysis using the stricter definition of respiratory symptoms (Supplementary Table 1), the between study difference was larger. There remained evidence for effect modification by pack-years smoked (no between study difference in heavier smokers >20 pack-years) but there was no evidence for effect modification by the other risk factors.\nObserved interactions between age and pack-year history within each study are shown in Supplementary Table 2. There was some evidence for interaction between age and pack-year history after adjusting for sex for the outcome obstructive lung function for Tromsø 7 with stronger association between pack-year history and age in the older participants (p=0.06). Conversely, there was good evidence for interaction between age and smoking pack-year history for obstructive lung function plus one of more respiratory symptoms but with stronger association between pack-year history and the outcome in the younger age groups (p=0.01). There was no evidence for interactions between age and pack-year history with obstructive lung function for KYH (p=0.18) or obstructive lung function plus 1 or more symptoms in Tromsø 7 (p=0.46).\nThe associations between obstructive lung function and age, sex, education, smoking, BMI and self-reported CVD morbidity and interactions by study are shown in Table 3. There was no evidence for interaction in associations with age, education, smoking, BMI or self-reported CVD morbidity between the studies but there was strong evidence for a difference in association with sex (p=0.002). Women had lower odds of obstructive lung disease than men in KYH but similar odds as men in Tromsø 7. The between-study difference found in women was removed by additional adjustment for smoking history (odds ratio for association of study in women adjusted for age and pack-year history 1.02 95% CI 0.76, 1.37).Table 3Association Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total163/1883(8.7)524/5217(10.0)0.89 (0.74, 1.07)–SexMen88/787(11.2)1.00(ref)290/2831(10.2)1.00(ref)1.17 (0.90, 1.52)P=0.002Women75/1096(6.8)0.59(0.43, 0.81)234/2386(9.8)1.06(0.88, 1.27)0.69 (0.53, 0.90)Age, years40–4943/569(7.6)1.00(ref)99/1024(9.7)1.00(ref)0.77 (0.53, 1.12)P=0.6750–5953/643(8.2)1.10(0.73, 1.68)108/1242(8.7)0.88(0.67, 1.27)0.95 (0.67, 1.34)60–6967/671(10.0)1.35(0.91, 2.02)317/2951(10.7)1.13(0.89, 1.43)0.92 (0.70, 1.21)Test for trendP=0.13P=0.15EducationLower19/121(15.7)1.65(0.96, 2.85)161/1197(13.5)1.55(1.22, 1.99)1.23 (0.73, 2.07)P=0.13Middle93/991(9.4)1.00(ref)135/1499(9.0)1.00(ref)1.12 (0.84, 1.48)Higher51/771(6.6)0.71(0.49, 1.01)220/2463(8.9)0.99(0.79, 1.24)0.73 (0.53, 1.00)Test for trendP=0.004P<0.001Smoking statusNever46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.82Ex-smoker38/458(8.3)1.73(1.08, 2.77)266/2584(10.3)2.10(1.64, 2.68)0.80 (0.56, 1.15)Current smoker78/462(16.9)4.14(2.73, 6.29)161/774(20.8)4.85(3.70, 6.37)0.86 (0.63, 1.18)Smoking Pack years (ever smokers)Never smoked46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.90>0<1021/269(7.8)1.80(1.04, 3.10)106/1504(7.1)1.39(1.04, 1.86)1.04 (0.63, 1.73)10–1916/158(10.1)2.59(1.37, 4.87)121/911(13.3)2.87(2.16, 3.82)0.92 (0.52, 1.65)20–2932/208(15.4)4.59(2.66, 7.91)92/466(19.7)4.64(3.40, 6.34)0.83 (0.51, 1.37)30–3923/123(18.7)5.62(3.02, 10.47)59/250(23.6)6.13(4.25, 8.84)0.82 (0.47, 1.43)40+22/98(22.5)7.55(3.98, 14.32)35/132(26.5)7.14(4.56, 11.17)0.70 (0.35, 1.41)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.58/22(36.4)4.14 (1.65, 10.39)11/31(35.5)3.67 (1.73, 7.78)0.79 (0.18, 3.52)P=0.6018.5–24.969/535(12.9)1.00 (ref)222/1691(13.1)1.00 (ref)1.15 (0.85, 1.55)25–29.944/710(6.2)0.39 (0.26, 0.59)203/2303(8.8)0.62 (0.51, 0.77)0.70 (0.50, 0.99)30–34.525/425(5.9)0.39 (0.24, 0.63)60/901(6.7)0.46 (0.34, 0.62)0.92 (0.56, 1.50)>3516/188(8.5)0.64 (0.36, 1.14)26/284(9.2)0.66 (0.43, 1.02)0.93 (0.47, 1.82)Test for trendP<0.001P<0.001Self-reported CVD co-morbidityNo150/1710(8.8)1.00 (ref)478/4799(10.0)1.00 (ref)0.92 (0.75, 1.12)0.54Yes13/167(7.8)0.73 (0.40, 1.33)28/264(10.6)1.04 (0.69, 1.57)0.72 (0.35, 1.46)\n\nAssociation Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nThe equivalent associations between obstructive lung function plus respiratory symptoms are shown in Table 4. In contrast to findings for obstructive lung function, there was strong evidence for higher odds of obstructive lung function plus symptoms in the KYH participants after adjustment for sex and age. This was seen in all ages and across categories of education and self-reported CVD morbidity. However, there was some evidence of effect modification by sex (p=0.06), pack years history (p=0.01) and smoking status (p=0.02) with largest between-study effect in never smokers and no evidence for a between-study effect in heavier smokers, and in women.Table 4Association Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total129/1844(7.0)272/5144(5.3)1.46 (1.17, 1.83)SexMen65/770(8.4)1.00(ref)121/2347(5.1)1.00(ref)1.78 (1.30, 2.46)P=0.06Women64/1074(6.0)0.69(0.48, 0.99)151/2797(5.4)1.06(0.83, 1.35)1.23 (0.91, 1.68)Age, years40–4931/559(5.5)1.00(ref)37/1015(3.7)1.00(ref)1.58 (0.97, 2.57)P=0.8450–5944/629(7.0)1.29(0.80, 2.07)56/1224(4.6)1.26(0.83, 1.93)1.58 (1.05, 2.37)60–6954/656(8.2)1.52(0.96, 2.40)179/2905(6.2)1.74(1.21, 2.49)1.36 (0.99, 1.87)Test for trendP=0.07P<0.001EducationLower15/117(12.8)1.64(0.90. 3.00)119/1170(10.2)2.17(1.59, 2.95)1.34 (0.75, 2.38)P=0.67Middle74/968(7.6)1.00(ref)71/1483(4.8)1.00(ref)1.79 (1.27, 2.52)Higher40/759(5.3)0.69(0.46, 1.03)76/2437(3.1)0.65(0.47, 0.91)1.76 (1.18, 2.62)Test for trendP=0.007P<0.001Smoking statusNever37/943(3.9)1.50(0.87, 2.59)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.02Ex-smoker25/451(5.5)1.00(ref)138/2563(5.4)3.55(2.33, 5.39)1.19 (0.75, 1.87)Current smoker67/450(14.9)4.70(2.98, 7.42)107/764(14.0)10.52(6.83, 16.20)1.18 (0.83, 1.67)Smoking Pack yearsNever smoked37/943(3.9)1.00(ref)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.01>0<1018/264(6.8)1.98(1.10, 3.56)41/1491(2.8)1.80(1.10, 2.94)2.89 (1.57, 5.30)10–1913/157(8.3)2.88(1.44, 5.78)65/898(7.2)5.09(3.22, 8.04)1.46 (0.75, 2.83)20–2923/200(11.5)4.44(2.40, 8.21)64/464(13.8)10.31(6.47, 16.43)1.01 (0.57, 1.79)30–3917/120(14.2)5.37(2.67, 10.81)41/250(16.4)13.36(7.97, 22.39)0.95 (0.50, 1.80)40+19/98(19.4)8.45(4.22, 16.90)28/131(21.4)18.40(10.34, 32.75)0.66 (0.31, 1.40)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.55/21(23.8)3.00 (1.04, 8.64)7/31(22.6)4.78 (2.00, 11.46)0.94 (0.16, 5.45)P=0.1418.5–24.953/525(10.1)1.00 (ref)95/1672(5.7)1.00 (ref)2.55 (1.75, 3.72)25–29.938/693(5.5)0.45 (0.29, 0.71)110/2267(4.9)0.82 (0.62, 1.10)1.19 (0.81, 1.75)30–34.521/420(5.0)0.42 (0.25, 0.71)39/887(4.4)0.74 (0.51, 1.10)1.20 (0.69, 2.10)>3511/183(6.0)0.54 (0.27, 1.07)19/280(6.8)1.24 (0.74, 2.06)0.87 (0.39, 1.94)Test for trendp<0.001p=0.22Self-reported CVD co-morbidityNo115/1677(6.9)1.00 (ref)242/4734(5.1)1.00 (ref)1.52 (1.20, 1.93)P=0.74Yes13/161(8.1)0.99 (0.54, 1.83)17/258(6.6)1.19 (0.71, 1.99)1.27 (0.58, 2.76)\n\nAssociation Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nIn sensitivity analysis using the stricter definition of respiratory symptoms (Supplementary Table 1), the between study difference was larger. There remained evidence for effect modification by pack-years smoked (no between study difference in heavier smokers >20 pack-years) but there was no evidence for effect modification by the other risk factors.\nObserved interactions between age and pack-year history within each study are shown in Supplementary Table 2. There was some evidence for interaction between age and pack-year history after adjusting for sex for the outcome obstructive lung function for Tromsø 7 with stronger association between pack-year history and age in the older participants (p=0.06). Conversely, there was good evidence for interaction between age and smoking pack-year history for obstructive lung function plus one of more respiratory symptoms but with stronger association between pack-year history and the outcome in the younger age groups (p=0.01). There was no evidence for interactions between age and pack-year history with obstructive lung function for KYH (p=0.18) or obstructive lung function plus 1 or more symptoms in Tromsø 7 (p=0.46).\nAwareness and Management Among Those with Obstructive Lung Function The levels of awareness and management among those with obstructive lung function by study, sex and reported respiratory symptoms are shown in Table 5. There was evidence for a difference in the between-study association with current smoking by sex therefore associations for current smoking are shown stratified by sex. There was no evidence for an interaction between sex and study for levels of awareness (test for interaction p=0.44) and pharmacological managements (maintenance treatment test for interaction p=0.37; relief of symptoms p=0.91).Table 5Awareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016No Symptoms (n=29 KYH) (n=246 Tromsø 7)Cough or Breathless (n=58 KYH) (n=196 Tromsø 7)Cough and Breathless (n=71 KYH) (n=76 Tromsø 7)Test for Trend with Symptoms (Adjusted Age and Sex)Total (n=158 KYH*) (n=493 Tromsø 7)N(%)N(%)N(%)N(%)Self-report ever diagnosedKYH2(6.9)14(24.1)41(57.8)P<0.00157(36.1)Tromsø 711(4.6)39(21.2)33(48.5)P<0.00183(16.8)Age and sex adjusted OR Tromsø 7/KYH (95% CI)0.48(0.09, 2.44)0.70(0.34, 1.45)0.59(0.29, 1.20)0.29(0.19, 0.44)Currently smokesKYH men6(33.3)15(53.6)28(75.7)P=0.00349(59.0)Tromsø 7 men19(17.3)30(38.0)24(57.1)P<0.00173(31.6)Age adjusted OR Tromsø 7/KYH0.43(0.13, 1.38)0.54(0.22, 1.36)0.41(0.14, 1.23)0.30(0.18, 0.51)KYH women2(18.2)9(30.0)15(44.1)P=0.0326(34.7)Tromsø 7 women33(24.6)36(30.8)17(50.0)P=0.00886(30.2)Age adjusted OR Tromsø 7/KYH1.00(0.19, 5.26)1.13(0.45, 2.85)1.71(0.52, 5.59)0.87(0.50, 1.51)Maintenance treatmentaKYH1(3.7)4(7.3)9(12.9)P=0.1214(9.2)Tromsø 717(6.9)31(15.8)28(36.8)P<0.00176(14.7)Age and sex adjusted OR Tromsø 7/KYH1.52(0.18, 12.77)2.46(0.80, 7.56)3.80(1.50, 9.63)1.56(0.85, 2.88)Short acting symptomatic treatmentbKYH0(0.0)2(3.6)5(7.1)P=0.127(4.6)Tromsø 76(2.4)17(8.7)15(19.7)P<0.00138(7.3)Age and sex adjusted OR Tromsø 7/KYH-3.18(0.68, 14.88)4.49(1.19, 16.97)1.72(0.74, 3.98)Notes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04.\n\nAwareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nNotes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04.\nThe levels of awareness and management among those with obstructive lung function by study, sex and reported respiratory symptoms are shown in Table 5. There was evidence for a difference in the between-study association with current smoking by sex therefore associations for current smoking are shown stratified by sex. There was no evidence for an interaction between sex and study for levels of awareness (test for interaction p=0.44) and pharmacological managements (maintenance treatment test for interaction p=0.37; relief of symptoms p=0.91).Table 5Awareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016No Symptoms (n=29 KYH) (n=246 Tromsø 7)Cough or Breathless (n=58 KYH) (n=196 Tromsø 7)Cough and Breathless (n=71 KYH) (n=76 Tromsø 7)Test for Trend with Symptoms (Adjusted Age and Sex)Total (n=158 KYH*) (n=493 Tromsø 7)N(%)N(%)N(%)N(%)Self-report ever diagnosedKYH2(6.9)14(24.1)41(57.8)P<0.00157(36.1)Tromsø 711(4.6)39(21.2)33(48.5)P<0.00183(16.8)Age and sex adjusted OR Tromsø 7/KYH (95% CI)0.48(0.09, 2.44)0.70(0.34, 1.45)0.59(0.29, 1.20)0.29(0.19, 0.44)Currently smokesKYH men6(33.3)15(53.6)28(75.7)P=0.00349(59.0)Tromsø 7 men19(17.3)30(38.0)24(57.1)P<0.00173(31.6)Age adjusted OR Tromsø 7/KYH0.43(0.13, 1.38)0.54(0.22, 1.36)0.41(0.14, 1.23)0.30(0.18, 0.51)KYH women2(18.2)9(30.0)15(44.1)P=0.0326(34.7)Tromsø 7 women33(24.6)36(30.8)17(50.0)P=0.00886(30.2)Age adjusted OR Tromsø 7/KYH1.00(0.19, 5.26)1.13(0.45, 2.85)1.71(0.52, 5.59)0.87(0.50, 1.51)Maintenance treatmentaKYH1(3.7)4(7.3)9(12.9)P=0.1214(9.2)Tromsø 717(6.9)31(15.8)28(36.8)P<0.00176(14.7)Age and sex adjusted OR Tromsø 7/KYH1.52(0.18, 12.77)2.46(0.80, 7.56)3.80(1.50, 9.63)1.56(0.85, 2.88)Short acting symptomatic treatmentbKYH0(0.0)2(3.6)5(7.1)P=0.127(4.6)Tromsø 76(2.4)17(8.7)15(19.7)P<0.00138(7.3)Age and sex adjusted OR Tromsø 7/KYH-3.18(0.68, 14.88)4.49(1.19, 16.97)1.72(0.74, 3.98)Notes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04.\n\nAwareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nNotes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04.\nAwareness of COPD There was strong evidence that awareness of COPD was lower among the Tromsø 7 participants (age and sex adjusted odds ratio 0.29 (95% CI 0.19, 0.44). However, awareness was strongly related to reporting of respiratory symptoms (Table 5) and on adjustment for respiratory symptoms this association was substantially reduced (OR 0.62 (95% CI 0.38, 1.01).\nThere was strong evidence that awareness of COPD was lower among the Tromsø 7 participants (age and sex adjusted odds ratio 0.29 (95% CI 0.19, 0.44). However, awareness was strongly related to reporting of respiratory symptoms (Table 5) and on adjustment for respiratory symptoms this association was substantially reduced (OR 0.62 (95% CI 0.38, 1.01).\nSmoking and Smoking Cessation After adjusting for age, current smoking among those with obstructive lung function was more common among the KYH participants in men (OR 3.30 95% CI 1.95, 5.61) but similar in KYH/Tromsø 7 participants in women (OR 1.15 95% CI 0.66, 2.01). In both studies, the prevalence of being a current smoker was higher among participants reporting respiratory symptoms (Table 5).\nAmong the KYH participants who had ever smoked the majority of those with obstructive lung disease plus symptoms had been advised to stop smoking by a doctor (62/90 68.9%). However, the proportion of these participants who reported they were offered assistance to stop smoking was much lower (7/90 8%).\nAfter adjusting for age, current smoking among those with obstructive lung function was more common among the KYH participants in men (OR 3.30 95% CI 1.95, 5.61) but similar in KYH/Tromsø 7 participants in women (OR 1.15 95% CI 0.66, 2.01). In both studies, the prevalence of being a current smoker was higher among participants reporting respiratory symptoms (Table 5).\nAmong the KYH participants who had ever smoked the majority of those with obstructive lung disease plus symptoms had been advised to stop smoking by a doctor (62/90 68.9%). However, the proportion of these participants who reported they were offered assistance to stop smoking was much lower (7/90 8%).\nPharmacological Management The prevalence of use of medications for COPD by study and reporting of respiratory symptoms is shown in Table 5. The majority of participants with obstructive lung function were not using medications for management of COPD. The use of medications for maintenance and for symptom relief was higher in those reporting respiratory symptoms in Tromsø 7 (test for trend p<0.001) but there was only weak evidence for an association between medication use and symptoms in KYH (test for trend p=0.12) although the numbers reporting any medication use were extremely low limiting power to detect any association. While there was no evidence for a difference in medication use between studies after adjusting for age and sex (Table 5), after additional adjustment for the level of reported symptoms there was strong evidence that the odds of receiving maintenance therapy (OR 2.90 95% CI 1.48, 5.70) and short-acting treatments (OR 3.56 95% CI 1.43, 8.87) for symptoms relief were higher for participants in Tromsø 7.\nThe prevalence of use of medications for COPD by study and reporting of respiratory symptoms is shown in Table 5. The majority of participants with obstructive lung function were not using medications for management of COPD. The use of medications for maintenance and for symptom relief was higher in those reporting respiratory symptoms in Tromsø 7 (test for trend p<0.001) but there was only weak evidence for an association between medication use and symptoms in KYH (test for trend p=0.12) although the numbers reporting any medication use were extremely low limiting power to detect any association. While there was no evidence for a difference in medication use between studies after adjusting for age and sex (Table 5), after additional adjustment for the level of reported symptoms there was strong evidence that the odds of receiving maintenance therapy (OR 2.90 95% CI 1.48, 5.70) and short-acting treatments (OR 3.56 95% CI 1.43, 8.87) for symptoms relief were higher for participants in Tromsø 7.\nImpact of Missing Data on Spirometry Testing The characteristics of those who did and did not complete the spirometry examination in both studies are shown in Supplementary Table 3. The factors associated with completing spirometry differed between the two studies. In KYH the main factor associated with spirometry was age with good evidence that those with spirometry were younger than all participants attending the health check. There was also weak evidence those with spirometry were more highly educated, had lower BMI and reported less breathlessness. In Tromsø 7, there were substantial differences in age between those with and without spirometry but in contrast to KYH those with spirometry data were older in keeping with additional inclusion of those who attended previous examinations in the sample selection. There was also evidence that those with spirometry were more likely to be women, have lower levels of education, be ex-smokers, have lower BMI, and less likely to report existing CVD.\nThe prevalence of obstructive lung disease estimated in sensitivity analyses using multiple imputation by age and sex is shown in Supplementary Figures 2A and B. The substantive findings were not different using multiple imputation to complete case analysis.\nThe characteristics of those who did and did not complete the spirometry examination in both studies are shown in Supplementary Table 3. The factors associated with completing spirometry differed between the two studies. In KYH the main factor associated with spirometry was age with good evidence that those with spirometry were younger than all participants attending the health check. There was also weak evidence those with spirometry were more highly educated, had lower BMI and reported less breathlessness. In Tromsø 7, there were substantial differences in age between those with and without spirometry but in contrast to KYH those with spirometry data were older in keeping with additional inclusion of those who attended previous examinations in the sample selection. There was also evidence that those with spirometry were more likely to be women, have lower levels of education, be ex-smokers, have lower BMI, and less likely to report existing CVD.\nThe prevalence of obstructive lung disease estimated in sensitivity analyses using multiple imputation by age and sex is shown in Supplementary Figures 2A and B. The substantive findings were not different using multiple imputation to complete case analysis.", "The crude prevalence of obstructive lung function and respiratory symptoms by sex and study is shown in Table 2. Findings after age-standardisation were similar to the crude findings. Among women the age-standardized prevalence of obstructive lung function defined by LLN was higher (age-adjusted p value=0.006) in the Tromsø 7 women (9.4%) compared to the KYH women (6.8%) while there was no evidence for a difference by study in men (KYH men 11.0%; Tromsø 7 men 9.8% age-adjusted p value=0.21).\nThe prevalence of reporting respiratory symptoms among those with obstructive lung function was substantially higher in KYH than Tromsø 7 in both men and women across all ages (Figure 1A and B). The age-standardized prevalence of COPD defined as obstructive lung function and one or more respiratory symptom was 8.3% in KYH men and 4.7% in Tromsø 7 men (age-adjusted p value<0.001). In women, this was 5.9% in KYH and 4.6% in Tromsø 7 (age-adjusted p value=0.18).Figure 1Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women.\nPrevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women.\nThe positive predictive value of any respiratory symptoms for identifying obstructive lung function was low in both studies (10.4% in KYH; 14.4% in Tromsø 7). The marked differences in reporting of respiratory symptoms between the studies were also seen in those without obstructive lung function on spirometry (Supplementary Figure 1).", "The associations between obstructive lung function and age, sex, education, smoking, BMI and self-reported CVD morbidity and interactions by study are shown in Table 3. There was no evidence for interaction in associations with age, education, smoking, BMI or self-reported CVD morbidity between the studies but there was strong evidence for a difference in association with sex (p=0.002). Women had lower odds of obstructive lung disease than men in KYH but similar odds as men in Tromsø 7. The between-study difference found in women was removed by additional adjustment for smoking history (odds ratio for association of study in women adjusted for age and pack-year history 1.02 95% CI 0.76, 1.37).Table 3Association Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total163/1883(8.7)524/5217(10.0)0.89 (0.74, 1.07)–SexMen88/787(11.2)1.00(ref)290/2831(10.2)1.00(ref)1.17 (0.90, 1.52)P=0.002Women75/1096(6.8)0.59(0.43, 0.81)234/2386(9.8)1.06(0.88, 1.27)0.69 (0.53, 0.90)Age, years40–4943/569(7.6)1.00(ref)99/1024(9.7)1.00(ref)0.77 (0.53, 1.12)P=0.6750–5953/643(8.2)1.10(0.73, 1.68)108/1242(8.7)0.88(0.67, 1.27)0.95 (0.67, 1.34)60–6967/671(10.0)1.35(0.91, 2.02)317/2951(10.7)1.13(0.89, 1.43)0.92 (0.70, 1.21)Test for trendP=0.13P=0.15EducationLower19/121(15.7)1.65(0.96, 2.85)161/1197(13.5)1.55(1.22, 1.99)1.23 (0.73, 2.07)P=0.13Middle93/991(9.4)1.00(ref)135/1499(9.0)1.00(ref)1.12 (0.84, 1.48)Higher51/771(6.6)0.71(0.49, 1.01)220/2463(8.9)0.99(0.79, 1.24)0.73 (0.53, 1.00)Test for trendP=0.004P<0.001Smoking statusNever46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.82Ex-smoker38/458(8.3)1.73(1.08, 2.77)266/2584(10.3)2.10(1.64, 2.68)0.80 (0.56, 1.15)Current smoker78/462(16.9)4.14(2.73, 6.29)161/774(20.8)4.85(3.70, 6.37)0.86 (0.63, 1.18)Smoking Pack years (ever smokers)Never smoked46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.90>0<1021/269(7.8)1.80(1.04, 3.10)106/1504(7.1)1.39(1.04, 1.86)1.04 (0.63, 1.73)10–1916/158(10.1)2.59(1.37, 4.87)121/911(13.3)2.87(2.16, 3.82)0.92 (0.52, 1.65)20–2932/208(15.4)4.59(2.66, 7.91)92/466(19.7)4.64(3.40, 6.34)0.83 (0.51, 1.37)30–3923/123(18.7)5.62(3.02, 10.47)59/250(23.6)6.13(4.25, 8.84)0.82 (0.47, 1.43)40+22/98(22.5)7.55(3.98, 14.32)35/132(26.5)7.14(4.56, 11.17)0.70 (0.35, 1.41)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.58/22(36.4)4.14 (1.65, 10.39)11/31(35.5)3.67 (1.73, 7.78)0.79 (0.18, 3.52)P=0.6018.5–24.969/535(12.9)1.00 (ref)222/1691(13.1)1.00 (ref)1.15 (0.85, 1.55)25–29.944/710(6.2)0.39 (0.26, 0.59)203/2303(8.8)0.62 (0.51, 0.77)0.70 (0.50, 0.99)30–34.525/425(5.9)0.39 (0.24, 0.63)60/901(6.7)0.46 (0.34, 0.62)0.92 (0.56, 1.50)>3516/188(8.5)0.64 (0.36, 1.14)26/284(9.2)0.66 (0.43, 1.02)0.93 (0.47, 1.82)Test for trendP<0.001P<0.001Self-reported CVD co-morbidityNo150/1710(8.8)1.00 (ref)478/4799(10.0)1.00 (ref)0.92 (0.75, 1.12)0.54Yes13/167(7.8)0.73 (0.40, 1.33)28/264(10.6)1.04 (0.69, 1.57)0.72 (0.35, 1.46)\n\nAssociation Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nThe equivalent associations between obstructive lung function plus respiratory symptoms are shown in Table 4. In contrast to findings for obstructive lung function, there was strong evidence for higher odds of obstructive lung function plus symptoms in the KYH participants after adjustment for sex and age. This was seen in all ages and across categories of education and self-reported CVD morbidity. However, there was some evidence of effect modification by sex (p=0.06), pack years history (p=0.01) and smoking status (p=0.02) with largest between-study effect in never smokers and no evidence for a between-study effect in heavier smokers, and in women.Table 4Association Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total129/1844(7.0)272/5144(5.3)1.46 (1.17, 1.83)SexMen65/770(8.4)1.00(ref)121/2347(5.1)1.00(ref)1.78 (1.30, 2.46)P=0.06Women64/1074(6.0)0.69(0.48, 0.99)151/2797(5.4)1.06(0.83, 1.35)1.23 (0.91, 1.68)Age, years40–4931/559(5.5)1.00(ref)37/1015(3.7)1.00(ref)1.58 (0.97, 2.57)P=0.8450–5944/629(7.0)1.29(0.80, 2.07)56/1224(4.6)1.26(0.83, 1.93)1.58 (1.05, 2.37)60–6954/656(8.2)1.52(0.96, 2.40)179/2905(6.2)1.74(1.21, 2.49)1.36 (0.99, 1.87)Test for trendP=0.07P<0.001EducationLower15/117(12.8)1.64(0.90. 3.00)119/1170(10.2)2.17(1.59, 2.95)1.34 (0.75, 2.38)P=0.67Middle74/968(7.6)1.00(ref)71/1483(4.8)1.00(ref)1.79 (1.27, 2.52)Higher40/759(5.3)0.69(0.46, 1.03)76/2437(3.1)0.65(0.47, 0.91)1.76 (1.18, 2.62)Test for trendP=0.007P<0.001Smoking statusNever37/943(3.9)1.50(0.87, 2.59)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.02Ex-smoker25/451(5.5)1.00(ref)138/2563(5.4)3.55(2.33, 5.39)1.19 (0.75, 1.87)Current smoker67/450(14.9)4.70(2.98, 7.42)107/764(14.0)10.52(6.83, 16.20)1.18 (0.83, 1.67)Smoking Pack yearsNever smoked37/943(3.9)1.00(ref)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.01>0<1018/264(6.8)1.98(1.10, 3.56)41/1491(2.8)1.80(1.10, 2.94)2.89 (1.57, 5.30)10–1913/157(8.3)2.88(1.44, 5.78)65/898(7.2)5.09(3.22, 8.04)1.46 (0.75, 2.83)20–2923/200(11.5)4.44(2.40, 8.21)64/464(13.8)10.31(6.47, 16.43)1.01 (0.57, 1.79)30–3917/120(14.2)5.37(2.67, 10.81)41/250(16.4)13.36(7.97, 22.39)0.95 (0.50, 1.80)40+19/98(19.4)8.45(4.22, 16.90)28/131(21.4)18.40(10.34, 32.75)0.66 (0.31, 1.40)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.55/21(23.8)3.00 (1.04, 8.64)7/31(22.6)4.78 (2.00, 11.46)0.94 (0.16, 5.45)P=0.1418.5–24.953/525(10.1)1.00 (ref)95/1672(5.7)1.00 (ref)2.55 (1.75, 3.72)25–29.938/693(5.5)0.45 (0.29, 0.71)110/2267(4.9)0.82 (0.62, 1.10)1.19 (0.81, 1.75)30–34.521/420(5.0)0.42 (0.25, 0.71)39/887(4.4)0.74 (0.51, 1.10)1.20 (0.69, 2.10)>3511/183(6.0)0.54 (0.27, 1.07)19/280(6.8)1.24 (0.74, 2.06)0.87 (0.39, 1.94)Test for trendp<0.001p=0.22Self-reported CVD co-morbidityNo115/1677(6.9)1.00 (ref)242/4734(5.1)1.00 (ref)1.52 (1.20, 1.93)P=0.74Yes13/161(8.1)0.99 (0.54, 1.83)17/258(6.6)1.19 (0.71, 1.99)1.27 (0.58, 2.76)\n\nAssociation Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nIn sensitivity analysis using the stricter definition of respiratory symptoms (Supplementary Table 1), the between study difference was larger. There remained evidence for effect modification by pack-years smoked (no between study difference in heavier smokers >20 pack-years) but there was no evidence for effect modification by the other risk factors.\nObserved interactions between age and pack-year history within each study are shown in Supplementary Table 2. There was some evidence for interaction between age and pack-year history after adjusting for sex for the outcome obstructive lung function for Tromsø 7 with stronger association between pack-year history and age in the older participants (p=0.06). Conversely, there was good evidence for interaction between age and smoking pack-year history for obstructive lung function plus one of more respiratory symptoms but with stronger association between pack-year history and the outcome in the younger age groups (p=0.01). There was no evidence for interactions between age and pack-year history with obstructive lung function for KYH (p=0.18) or obstructive lung function plus 1 or more symptoms in Tromsø 7 (p=0.46).", "The levels of awareness and management among those with obstructive lung function by study, sex and reported respiratory symptoms are shown in Table 5. There was evidence for a difference in the between-study association with current smoking by sex therefore associations for current smoking are shown stratified by sex. There was no evidence for an interaction between sex and study for levels of awareness (test for interaction p=0.44) and pharmacological managements (maintenance treatment test for interaction p=0.37; relief of symptoms p=0.91).Table 5Awareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016No Symptoms (n=29 KYH) (n=246 Tromsø 7)Cough or Breathless (n=58 KYH) (n=196 Tromsø 7)Cough and Breathless (n=71 KYH) (n=76 Tromsø 7)Test for Trend with Symptoms (Adjusted Age and Sex)Total (n=158 KYH*) (n=493 Tromsø 7)N(%)N(%)N(%)N(%)Self-report ever diagnosedKYH2(6.9)14(24.1)41(57.8)P<0.00157(36.1)Tromsø 711(4.6)39(21.2)33(48.5)P<0.00183(16.8)Age and sex adjusted OR Tromsø 7/KYH (95% CI)0.48(0.09, 2.44)0.70(0.34, 1.45)0.59(0.29, 1.20)0.29(0.19, 0.44)Currently smokesKYH men6(33.3)15(53.6)28(75.7)P=0.00349(59.0)Tromsø 7 men19(17.3)30(38.0)24(57.1)P<0.00173(31.6)Age adjusted OR Tromsø 7/KYH0.43(0.13, 1.38)0.54(0.22, 1.36)0.41(0.14, 1.23)0.30(0.18, 0.51)KYH women2(18.2)9(30.0)15(44.1)P=0.0326(34.7)Tromsø 7 women33(24.6)36(30.8)17(50.0)P=0.00886(30.2)Age adjusted OR Tromsø 7/KYH1.00(0.19, 5.26)1.13(0.45, 2.85)1.71(0.52, 5.59)0.87(0.50, 1.51)Maintenance treatmentaKYH1(3.7)4(7.3)9(12.9)P=0.1214(9.2)Tromsø 717(6.9)31(15.8)28(36.8)P<0.00176(14.7)Age and sex adjusted OR Tromsø 7/KYH1.52(0.18, 12.77)2.46(0.80, 7.56)3.80(1.50, 9.63)1.56(0.85, 2.88)Short acting symptomatic treatmentbKYH0(0.0)2(3.6)5(7.1)P=0.127(4.6)Tromsø 76(2.4)17(8.7)15(19.7)P<0.00138(7.3)Age and sex adjusted OR Tromsø 7/KYH-3.18(0.68, 14.88)4.49(1.19, 16.97)1.72(0.74, 3.98)Notes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04.\n\nAwareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016\nNotes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04.", "There was strong evidence that awareness of COPD was lower among the Tromsø 7 participants (age and sex adjusted odds ratio 0.29 (95% CI 0.19, 0.44). However, awareness was strongly related to reporting of respiratory symptoms (Table 5) and on adjustment for respiratory symptoms this association was substantially reduced (OR 0.62 (95% CI 0.38, 1.01).", "After adjusting for age, current smoking among those with obstructive lung function was more common among the KYH participants in men (OR 3.30 95% CI 1.95, 5.61) but similar in KYH/Tromsø 7 participants in women (OR 1.15 95% CI 0.66, 2.01). In both studies, the prevalence of being a current smoker was higher among participants reporting respiratory symptoms (Table 5).\nAmong the KYH participants who had ever smoked the majority of those with obstructive lung disease plus symptoms had been advised to stop smoking by a doctor (62/90 68.9%). However, the proportion of these participants who reported they were offered assistance to stop smoking was much lower (7/90 8%).", "The prevalence of use of medications for COPD by study and reporting of respiratory symptoms is shown in Table 5. The majority of participants with obstructive lung function were not using medications for management of COPD. The use of medications for maintenance and for symptom relief was higher in those reporting respiratory symptoms in Tromsø 7 (test for trend p<0.001) but there was only weak evidence for an association between medication use and symptoms in KYH (test for trend p=0.12) although the numbers reporting any medication use were extremely low limiting power to detect any association. While there was no evidence for a difference in medication use between studies after adjusting for age and sex (Table 5), after additional adjustment for the level of reported symptoms there was strong evidence that the odds of receiving maintenance therapy (OR 2.90 95% CI 1.48, 5.70) and short-acting treatments (OR 3.56 95% CI 1.43, 8.87) for symptoms relief were higher for participants in Tromsø 7.", "The characteristics of those who did and did not complete the spirometry examination in both studies are shown in Supplementary Table 3. The factors associated with completing spirometry differed between the two studies. In KYH the main factor associated with spirometry was age with good evidence that those with spirometry were younger than all participants attending the health check. There was also weak evidence those with spirometry were more highly educated, had lower BMI and reported less breathlessness. In Tromsø 7, there were substantial differences in age between those with and without spirometry but in contrast to KYH those with spirometry data were older in keeping with additional inclusion of those who attended previous examinations in the sample selection. There was also evidence that those with spirometry were more likely to be women, have lower levels of education, be ex-smokers, have lower BMI, and less likely to report existing CVD.\nThe prevalence of obstructive lung disease estimated in sensitivity analyses using multiple imputation by age and sex is shown in Supplementary Figures 2A and B. The substantive findings were not different using multiple imputation to complete case analysis.", "In this study comparing prevalence of obstructive lung function between participants aged 40–69 years taking part in population-based studies in Russia and Norway we found no evidence for a difference in obstructive lung function in men, but higher prevalence of obstructive lung function in the Norwegian compared to Russian women, which was explained by differences in smoking history. In contrast, the prevalence of COPD defined as both obstructive lung function and respiratory symptoms was higher among both men and women in the Russian study. There was a strikingly high prevalence of respiratory symptoms among Russian participants both among those who had an obstructive lung function pattern on spirometry but also in participants without obstructive lung function, reflecting very different patterns of symptom reporting in the two populations.\nThe age-standardized prevalence of obstructive lung function (pre-bronchodilator) among the Russian participants was 11.0% using the GLI-LLN normal definition in men and 6.8% in women. This is higher than the findings from pre-bronchodilator spirometry tests reported by Andreeva et al in the RESPECT study in North-West Russia (9.6% in men 4.8% in women)13 and the Ural (5.8% total population).15 The findings among the Tromsø Study participants were also higher than estimates from the HUNT study from central Norway in 2006–2008 (7.3%).19 Prevalences using a fixed cut point rather than LLN were more similar to a previous study from Novosibirsk from 2002–5 which found 19.5% (23.5% in men and 16.0% in women) using a broader definition of airway obstruction on spirometry (FEV1/FVC ratio <0.7 or FEV1,<80%).14 In this study, we did not find any evidence for a difference in the prevalence of obstructive lung function between men in the Russian and Norwegian studies. This is surprising given historically very high smoking prevalence among Russian men.7 Despite recent declines in smoking in Russia,28 we did find here that the prevalence of current smoking and pack-year history was higher among the Russian than the Norwegian men. However, there was also a high prevalence of ex-smokers in the Norwegian sample therefore the current lung function damage in this sample could be attributable to higher levels of smoking in Norway in the past. There was no statistical evidence for a higher burden of airway obstruction in the Russian men, although the actual prevalence was slightly higher in the older ages group (60–69 years). The lower than anticipated estimates of obstructive lung function in Russian men found here and in previous studies are difficult to interpret but given the very high premature CVD mortality in Russian men in this age range, differential survival may play a role. There was no evidence for an association with COPD and self-report of MI or stroke in this study in keeping with this, however it is important to note our measure was based on self-reported disease only which could have been affected by measurement error, there was a small number of cases and we did not include a detailed investigation of the relationships with all CVD outcomes. The high burden of CVD mortality in Russia makes investigation of cardiovascular and respiratory co-morbidity in this population an important area to investigate in more depth. Prospective studies to investigate the incidence of COPD are also needed.\nIn contrast to findings from spirometry testing, there were striking differences between the Russian and Norwegian participants with regards to reporting of symptoms. The high burden of respiratory symptoms in the Russian study population is important given increasing evidence that respiratory symptoms among smokers are associated with poorer outcomes including a higher rate of respiratory infections, impaired exercise capacity, airway thickening, and poorer quality of life even in the absence of obstructive lung function on spirometry.29,30 In a prospective study of 596 smokers and former smokers aged 70–79 years mortality was similar in those with dyspnoea but no obstructive lung function compared to those with obstructive lung function without dyspnoea.31 Several previous studies have found the prevalence of reported respiratory symptoms is very high in Russia consistent with the levels of breathlessness and chronic cough found here.10–13 Only two of these studies also included findings from spirometry. In the study by Chuchalin et al spirometry was only conducted in those who reported either respiratory symptoms or risk factors, of whom 21.8% also had airway obstruction.11 Andreeva et al reported on data from both lung function testing and respiratory symptoms and found that the positive predictive value of respiratory symptoms for identifying obstructive lung function was low (8%)13 which was similar to findings in this study in both Russian (10%) and Norwegian participants (14%). Here we also found a high prevalence of respiratory symptoms in the Russian study population in those without obstructive lung function suggesting there are other explanations aside from COPD per se for high burden of respiratory symptoms found here and in previous studies in Russia. The symptoms considered here (cough and breathlessness) are non-specific and may be caused by many factors including both other respiratory diseases (for instance lower respiratory tract infection was the 6th and tuberculosis the 18th leading cause of death in Russia in 20161) and non-respiratory causes. For example, the differences in levels of breathlessness in the population may be related to anxiety, physical fitness, levels of obesity or other co-morbidities in particular heart failure. Differences in air pollution may also play an important role as well as possible cultural differences in the interpretation or perception of symptoms. The lower levels of use of medications found here among the Russian participants with obstructive lung function could also be a factor with differences in management influencing levels of symptom control. Due to the cross-sectional nature of the data, we could not investigate this hypothesis here due to strong possibility of confounding by indication (those with symptoms were more likely to receive medication due to increased need).\nThe presence of respiratory symptoms in those with obstructive lung function was important when comparing awareness and management of COPD between the two studies. Among those with obstructive lung disease, respiratory symptoms were associated in a dose-response manner with higher awareness of disease, smoking and among the Norwegian participants the use of medications for management of COPD. The relatively large asymptomatic group of Norwegian participants with obstructive lung disease as defined by spirometry were less likely to report a diagnosis or any pharmacological treatment. However, higher levels of awareness among the Russian participants did not translate into correspondingly better pharmacological management as levels of pharmacological treatment were low while many participants continued to smoke. Smoking cessation is a key part of the management of COPD. The prevalence of smoking in those with obstructive lung function was particularly high in the Russian men (59% current smokers) compared to approximately 30% in the Norwegian participants and Russian women. In the KYH study, some additional questions about smoking cessation were asked to smokers. While the majority of the Russian participants who had both obstructive lung function and respiratory symptoms had been advised by a doctor to stop smoking, only 8% of this high-risk group reported they had been offered assistance to stop. Increasing the availability of smoking cessation treatments could have a substantial benefit in reducing the burden from COPD and other smoking-related disease.\nThis study has several limitations which should be considered on interpreting the findings:\nFirst, here we have estimated prevalence of obstructive lung function (with respiratory symptoms) in participants in population-based studies. It is likely the findings may have been affected by selection bias. While we investigated the potential impact on the findings of using a sub-set of participants and found no evidence that this had a substantial impact of the prevalence of obstructive lung disease, there may still be bias in the extent to which participants are representative of their respective populations. The proportion of invited participants who took part in the studies overall was 22% for Novosibirsk, 60% for Arkhangelsk21 and 65% for Tromsø 7.32 It is plausible attendance was differential by lung function status, as those with very severe respiratory disease may be less likely to take part. Any selection bias will have affected the prevalence estimates reported here and these should be interpreted with caution. Furthermore, the studies took place in two cities in Russia and one municipality in Norway, therefore prevalence estimates may not be generalizable to the whole of both countries. However, comparisons of use of COPD medication as maintenance treatment within the Norwegian Prescription Database (NorPD) show that use in the Troms and Finnmark county was very close to Norway as a whole in 2016.33\nSecondly, in both studies only pre-bronchodilator spirometry was conducted while for a diagnosis of COPD spirometry should also be conducted post-bronchodilator in order to demonstrate irreversible airflow limitation, therefore some participants with reversible airflow limitation may have been misclassified. Sputum production was also not assessed in either study. The two studies used different spirometry devices which may have limited the comparability of the results although protocols for data collection were similar and procedures for quality control were harmonised. The questions on chronic cough were also not identical although the questions on breathlessness in both studies were measured using the same standardized tool. Translation of the questions on breathlessness to Russian and Norwegian were cross-checked by a speaker of both languages and found to be consistent in meaning. While measurement error due to differences in how questions on respiratory symptoms were asked is possible it does not seem sufficient to account for the huge differences in reporting of symptoms observed in this study. However, cultural differences in the perception of symptoms for example understanding of the concept of breathlessness may play a role in accounting for the large population level differences observed in this study. Finally, we were restricted in assessing management to pharmacological management and have not been able to compare other non-pharmacological aspects of COPD management such as participation in pulmonary rehabilitation programmes.\nIn conclusion, we have found that the burden of obstructive lung disease on spirometry was similar in participants taking part in population-based studies in Norway and Russia but there was a strikingly high burden of respiratory symptoms among the Russian participants. Further work is needed to understand the reasons and implications for health of this high prevalence of chronic cough and breathlessness. The contribution of cardiovascular disease, in particularly heart failure, here as well as further understanding of the burden of respiratory and cardiovascular co-morbidity are important areas to investigate. There were low levels of smoking cessation and use of medications in both study populations in participants identified with COPD indicating management of COPD could be improved in both countries." ]
[ "intro", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "COPD", "Russian Federation", "Norway", "respiratory symptoms" ]
Introduction: Despite recent declines, premature mortality remains a major public health concern in Russia.1 Respiratory diseases contribute substantially with Chronic Obstructive Pulmonary Disease (COPD) estimated as the 14th leading cause of death in Russia in 2016 while respiratory infection was the 6th leading cause of death.1 COPD is strongly related to cardiovascular disease (CVD)2,3 and in many patients with COPD cardiovascular disease is the underlying cause of death.4–6 In Russia, there is a high prevalence of smoking in men,7 which is a major risk factor for COPD. Occupational exposure to vapours, dust and fumes may also lead to increased risk among certain groups.8 It is important to quantify and understand the burden of COPD within Russia, particularly in a country with one of the highest rates of CVD mortality in the world.9 Four population-based surveys have found high levels of reporting of respiratory symptoms in the Russian general population10–13 but only two of these studies also included spirometry testing.11,13 In a cross-sectional survey of 7164 adults aged 18 or older living in 12 regions of Russia (2010–2011), spirometry was used to diagnose COPD among those who reported any respiratory symptoms or risk factors for chronic respiratory disease11. Chuchalin et al11 extrapolated results from spirometry testing in this study to estimate that the prevalence of symptomatic COPD (symptoms plus forced expiratory volume in 1 second (FEV1): Forced vital capacity (FVC) ratio<0.7) in the total study population was 15.3%. Estimates of airway obstruction from the earlier HAPIEE study (2002–2005) from 6875 men and women aged 45–69 years old in the city of Novosibirsk were even higher at 19.5% (23.5% in men and 16.0% in women) using a broader definition of airway obstruction on spirometry (FEV1/FVC ratio <0.7 or FEV1,<80%).14 However, a study of 2975 adults aged 35–70 living in North West Russia (2012–13) found a substantially lower prevalence of airway obstruction of 6.8% using a fixed FEV1:FVC ratio<0.7 and 4.8% using the Global Lung Initiative Lower Limit of Normal (GLI-LLN) cut off with a substantial sex difference (higher in men (9.6%) than women (4.8%)).13 This was consistent with estimates from pre-bronchodilator spirometry from a later study of 5899 adults aged 40–94 in the Russian region of Bashkortostan which found a prevalence of airway obstruction using LLN of 5.8% (6.8% using fixed cut point).15 These prevalence estimates are lower than might be expected given the high burden of smoking7 and self-reported respiratory symptoms10–13 in the Russian general population. In quantifying the prevalence and relative disease burden from COPD in Russia findings need to be compared in context with studies from other populations. However, making comparisons between population-based studies is complex. Estimated prevalence of COPD can vary widely depending on the criteria used for case definition.16,17 Prevalence of COPD in Norway, a neighbouring country to Russia with a different mortality and risk factor profile, shows considerable variation. Estimates from the BOLD study site in Bergen (2006) which used spirometry only found the prevalence was 11% using postbronchodilator fixed cut point among adults aged 52–60.18 Findings from the population-based HUNT-3 study in the county of Nord-Trøndelag (2006–2008) found a prevalence of 14.5% using a fixed cut point and 7.3% from LLN in adults aged over 40 on pre-bronchodilator spirometric assessment.19 Analyses of changes in COPD prevalence over time within the Tromsø Study in the municipality of Tromsø have shown COPD prevalences have been declining since 2001 in line with declines in smoking, with the most recent estimates from 2015–2016 of 9.7% in men and 10.0% in women aged 40–84 using LLN and 5.6% in both sexes when including respiratory symptoms within the definition.20 However, to compare estimated COPD prevalence from Russia with studies from other settings is difficult given differences in age range, COPD definition and time frames. Here we investigated prevalence of both obstructive lung disease and respiratory symptoms in a population-based study conducted in two Russian cities and compared the findings with a similar study from Norway conducted in the same time period using the same definitions of COPD for both studies. Among those with evidence of COPD, we compared levels of awareness and management (smoking cessation, use of pharmacological treatments) between the study populations. Methods: Study Populations The study population was a sub-sample of participants aged 40–69 years taking part in the two population-based health surveys the Know Your Heart (KYH) Study21 conducted in the Russian cities of Arkhangelsk and Novosibirsk (2015–18) and the seventh survey of the Tromsø Study22 (Tromsø 7) conducted in the Norwegian municipality of Tromsø (2015–16). These studies were conducted in parallel and several aspects of data collection between the studies have been harmonized (including the measurement of breathlessness, quality criteria for spirometry and ATC coding of medications) providing a unique opportunity to compare lung function between general population samples in both countries. The study population was a sub-sample of participants aged 40–69 years taking part in the two population-based health surveys the Know Your Heart (KYH) Study21 conducted in the Russian cities of Arkhangelsk and Novosibirsk (2015–18) and the seventh survey of the Tromsø Study22 (Tromsø 7) conducted in the Norwegian municipality of Tromsø (2015–16). These studies were conducted in parallel and several aspects of data collection between the studies have been harmonized (including the measurement of breathlessness, quality criteria for spirometry and ATC coding of medications) providing a unique opportunity to compare lung function between general population samples in both countries. Know Your Heart Study Sample (Russia) Participants were identified from a population register of addresses and a random sample stratified by age, sex and district was selected (n=15,284 aged 40–69). Trained interviewers visited the addresses and invited participants to take part in the study. Participants who agreed to take part completed an interviewer-administered questionnaire which included questions on socio-demographic factors and self-reported morbidities (n=4654 aged 40–69). Participants were then invited to a health check which included a further questionnaire and a comprehensive medical examination (n= 4044 aged 40–69). Spirometry was an additional component of the health check offered to approximately 50% of participants. Selection of participants, for practical reasons, was determined by the day of the week that medical professionals trained in these procedures were available. The days of the week when spirometry was offered were varied throughout the fieldwork in order to minimize selection bias. Contra-indications for spirometry were: chest infection in the last month (ie, influenza, bronchitis, severe cold, pneumonia); history of detached retina; myocardial infarction in the past month; surgery to eyes, chest or abdomen in last 3 months; history of a collapsed lung; pregnancy (1st or 3rd trimester); currently on medications for tuberculosis. Uptake was high among those to whom it was offered (94.9% of participants invited to spirometry completed the examination) and in total lung function data are available for 45.7% of participants who attended the health check (n=1883 aged 40–69). Data on use of medications, smoking and self-report of respiratory symptoms were collected for all participants attending the health check. Participants were identified from a population register of addresses and a random sample stratified by age, sex and district was selected (n=15,284 aged 40–69). Trained interviewers visited the addresses and invited participants to take part in the study. Participants who agreed to take part completed an interviewer-administered questionnaire which included questions on socio-demographic factors and self-reported morbidities (n=4654 aged 40–69). Participants were then invited to a health check which included a further questionnaire and a comprehensive medical examination (n= 4044 aged 40–69). Spirometry was an additional component of the health check offered to approximately 50% of participants. Selection of participants, for practical reasons, was determined by the day of the week that medical professionals trained in these procedures were available. The days of the week when spirometry was offered were varied throughout the fieldwork in order to minimize selection bias. Contra-indications for spirometry were: chest infection in the last month (ie, influenza, bronchitis, severe cold, pneumonia); history of detached retina; myocardial infarction in the past month; surgery to eyes, chest or abdomen in last 3 months; history of a collapsed lung; pregnancy (1st or 3rd trimester); currently on medications for tuberculosis. Uptake was high among those to whom it was offered (94.9% of participants invited to spirometry completed the examination) and in total lung function data are available for 45.7% of participants who attended the health check (n=1883 aged 40–69). Data on use of medications, smoking and self-report of respiratory symptoms were collected for all participants attending the health check. The Tromsø Study Sample (Norway) All inhabitants aged 40 and older were invited to take part in Tromsø 7 (n=32,591). Participants underwent a basic examination which involved questionnaires and interviews, biological sampling and clinical examinations (n=21,083 of which n=17,646 were aged 40–69). A subset of participants (randomly pre-marked before attendance with addition of previous participants from Tromsø 6 2007–2008) were invited to take part in extended examinations including spirometry. There were no contra-indications for spirometry assessment. In total spirometry was conducted on 5217 participants in the required age range. All inhabitants aged 40 and older were invited to take part in Tromsø 7 (n=32,591). Participants underwent a basic examination which involved questionnaires and interviews, biological sampling and clinical examinations (n=21,083 of which n=17,646 were aged 40–69). A subset of participants (randomly pre-marked before attendance with addition of previous participants from Tromsø 6 2007–2008) were invited to take part in extended examinations including spirometry. There were no contra-indications for spirometry assessment. In total spirometry was conducted on 5217 participants in the required age range. Spirometry Assessment In KYH Spirometry was conducted using 6800 Pneumotrac spirometers (Vitalograph®, UK) and in Tromsø 7 using Vmax® Encore devices (Sensormedics® Corporation, USA). The spirometry examination took place alongside several other clinical examinations in both studies. Post-bronchodilator measurements were not taken in order to minimize burden for participants. For both studies, three measurements were taken. If less than 2 of the measures were acceptable then additional measurements were taken up to a maximum of eight. Maximum FEV1 and maximum FVC were used in analyses not necessarily from the same blow. Following data collection acceptability and reproducibility of results were determined by 1) removing blows where FEV1 was less than 300 mL and 2) excluding values where FEV3 was the same or greater than FVC. For Tromsø 7 the curves from the study were assessed and cleaned manually by the study team responsible for data collection. For KYH cases where the difference between maximum values and the second highest value for FEV1 and FVC were greater than 250 mL were evaluated. In cases where the maximum value is found to be an outlier (difference between 2nd and 3rd max<250mL) compared to other values the next highest value was used. Otherwise, the maximum was used. In KYH Spirometry was conducted using 6800 Pneumotrac spirometers (Vitalograph®, UK) and in Tromsø 7 using Vmax® Encore devices (Sensormedics® Corporation, USA). The spirometry examination took place alongside several other clinical examinations in both studies. Post-bronchodilator measurements were not taken in order to minimize burden for participants. For both studies, three measurements were taken. If less than 2 of the measures were acceptable then additional measurements were taken up to a maximum of eight. Maximum FEV1 and maximum FVC were used in analyses not necessarily from the same blow. Following data collection acceptability and reproducibility of results were determined by 1) removing blows where FEV1 was less than 300 mL and 2) excluding values where FEV3 was the same or greater than FVC. For Tromsø 7 the curves from the study were assessed and cleaned manually by the study team responsible for data collection. For KYH cases where the difference between maximum values and the second highest value for FEV1 and FVC were greater than 250 mL were evaluated. In cases where the maximum value is found to be an outlier (difference between 2nd and 3rd max<250mL) compared to other values the next highest value was used. Otherwise, the maximum was used. Outcome The primary outcome definition was pre-bronchodilator FEV1: FVC ratio<Lower Limit Normal (LLN) with and without self-reported respiratory symptoms. LLN was calculated from the GLI LLN equations23 specifying ethnicity as white using GLI-2012 Desktop Software for Large Data Sets.24 The secondary definition of FEV1: FVC ratio<0.7 with and without symptoms was used to investigate impact of definition of the findings. Respiratory symptoms were defined as chronic cough and/or breathlessness. Breathlessness was measured in both studies using the MRC breathlessness scale.25 Breathlessness was categorised as grade 2 breathlessness or above (equivalent to grade 1 on the modified mMRC dyspnoea scale) “short of breath when hurrying on the level or walking up a slight hill”. Chronic cough was defined from the questions in Table 1. If participants answered “yes” to any of the questions on cough they were considered to have a chronic cough. Sensitivity analyses were conducted using a stricter definition of both breathlessness and cough to define respiratory symptoms.Table 1Questions on Chronic CoughKnow Your HeartTromsø 7Do you usually cough first thing in the morning in winter?Do you cough about daily for some periods of the year?Do you usually cough during the day or at night in winter?If you cough about daily for some periods of the year, is your cough productive?Do you cough like this on most days for as much as three months each year?If you cough about daily for some periods of the year, have you had this kind of cough for as long as 3 months in each of the last two years?Do you usually bring up phlegm from your chest first thing in the morning in winter?Do you usually bring up any phlegm from your chest during the day- or at night – in winter?Do you bring up phlegm like this on most days for as much as three months each year? Questions on Chronic Cough The primary outcome definition was pre-bronchodilator FEV1: FVC ratio<Lower Limit Normal (LLN) with and without self-reported respiratory symptoms. LLN was calculated from the GLI LLN equations23 specifying ethnicity as white using GLI-2012 Desktop Software for Large Data Sets.24 The secondary definition of FEV1: FVC ratio<0.7 with and without symptoms was used to investigate impact of definition of the findings. Respiratory symptoms were defined as chronic cough and/or breathlessness. Breathlessness was measured in both studies using the MRC breathlessness scale.25 Breathlessness was categorised as grade 2 breathlessness or above (equivalent to grade 1 on the modified mMRC dyspnoea scale) “short of breath when hurrying on the level or walking up a slight hill”. Chronic cough was defined from the questions in Table 1. If participants answered “yes” to any of the questions on cough they were considered to have a chronic cough. Sensitivity analyses were conducted using a stricter definition of both breathlessness and cough to define respiratory symptoms.Table 1Questions on Chronic CoughKnow Your HeartTromsø 7Do you usually cough first thing in the morning in winter?Do you cough about daily for some periods of the year?Do you usually cough during the day or at night in winter?If you cough about daily for some periods of the year, is your cough productive?Do you cough like this on most days for as much as three months each year?If you cough about daily for some periods of the year, have you had this kind of cough for as long as 3 months in each of the last two years?Do you usually bring up phlegm from your chest first thing in the morning in winter?Do you usually bring up any phlegm from your chest during the day- or at night – in winter?Do you bring up phlegm like this on most days for as much as three months each year? Questions on Chronic Cough Risk Factors Risk factors measured were age, sex, education, smoking status (never, ex-smoker, current smoker) and pack-year history calculated from questions on years smoked and number of cigarettes smoked per day, and body mass index (BMI) calculated from measured height and weight. Education was coded into three categories (lower, middle and higher) based on the education system within each country. In KYH these groups were lower (incomplete secondary and vocational no secondary), middle (complete secondary, vocational and secondary, specialised secondary) and higher (incomplete higher, higher) education. For Tromsø 7, these were lower (primary) middle (upper secondary) and higher (university/university college) education. Current smokers in both studies included participants those who smoked less than daily (KYH n=26; Tromsø 7 n=350). An indicator of existing CVD based on self-reported stroke and/or myocardial infarction was also included as an important factor associated with respiratory disease with different expected prevalence between the two studies. Risk factors measured were age, sex, education, smoking status (never, ex-smoker, current smoker) and pack-year history calculated from questions on years smoked and number of cigarettes smoked per day, and body mass index (BMI) calculated from measured height and weight. Education was coded into three categories (lower, middle and higher) based on the education system within each country. In KYH these groups were lower (incomplete secondary and vocational no secondary), middle (complete secondary, vocational and secondary, specialised secondary) and higher (incomplete higher, higher) education. For Tromsø 7, these were lower (primary) middle (upper secondary) and higher (university/university college) education. Current smokers in both studies included participants those who smoked less than daily (KYH n=26; Tromsø 7 n=350). An indicator of existing CVD based on self-reported stroke and/or myocardial infarction was also included as an important factor associated with respiratory disease with different expected prevalence between the two studies. Awareness of COPD Awareness was assessed from self-report of chronic lung disease. In KYH this was assessed with the question “Have you ever been told by a doctor (been diagnosed) that you have chronic bronchitis/COPD?” In Tromsø 7 this question was “Have you ever had, or do you have chronic bronchitis/emphysema/COPD?”. Participants who reported they had a diagnosis either now or previously were categorised as aware of COPD status. Awareness was assessed from self-report of chronic lung disease. In KYH this was assessed with the question “Have you ever been told by a doctor (been diagnosed) that you have chronic bronchitis/COPD?” In Tromsø 7 this question was “Have you ever had, or do you have chronic bronchitis/emphysema/COPD?”. Participants who reported they had a diagnosis either now or previously were categorised as aware of COPD status. Management of COPD Management of COPD was compared on two levels: smoking cessation and pharmacological management according to Global Initiative for Chronic Obstructive Disease (GOLD) guidelines.26 Levels of smoking cessation were assessed by comparing the proportion of those with obstructive lung function ± respiratory symptoms who were current smokers. In the KYH two additional questions on smoking cessation advice and assistance were asked to participants who reported they were smokers “Have you ever been advised by a medical professional (your GP, cardiologist, any other physician) to stop smoking?” and “was any assistance offered?” For both studies, data on use of current medications were collected and coded in accordance with the International WHO Anatomical Therapeutic Chemical (ATC) classification system version 2016.27 Pharmacological treatment was compared across two domains of use applicable to participants in population-based studies: maintenance treatment and short-acting symptomatic treatment. Maintenance treatment was defined as the use of long-acting muscarinic antagonists (R03BB) (LAMA); long-acting beta-2 agonists (R03AC12, 13, 18 and 19) (LABA); combination of long-acting beta-2 agonists with steroids or long-acting muscarinics (R03AK, R03AL); theophylline (R03DA04); roflumilast (R03DX07)). Short-acting symptomatic treatment was defined as the use of short-acting beta agonists (R03AC02, 03, 04)). Management of COPD was compared on two levels: smoking cessation and pharmacological management according to Global Initiative for Chronic Obstructive Disease (GOLD) guidelines.26 Levels of smoking cessation were assessed by comparing the proportion of those with obstructive lung function ± respiratory symptoms who were current smokers. In the KYH two additional questions on smoking cessation advice and assistance were asked to participants who reported they were smokers “Have you ever been advised by a medical professional (your GP, cardiologist, any other physician) to stop smoking?” and “was any assistance offered?” For both studies, data on use of current medications were collected and coded in accordance with the International WHO Anatomical Therapeutic Chemical (ATC) classification system version 2016.27 Pharmacological treatment was compared across two domains of use applicable to participants in population-based studies: maintenance treatment and short-acting symptomatic treatment. Maintenance treatment was defined as the use of long-acting muscarinic antagonists (R03BB) (LAMA); long-acting beta-2 agonists (R03AC12, 13, 18 and 19) (LABA); combination of long-acting beta-2 agonists with steroids or long-acting muscarinics (R03AK, R03AL); theophylline (R03DA04); roflumilast (R03DX07)). Short-acting symptomatic treatment was defined as the use of short-acting beta agonists (R03AC02, 03, 04)). Statistical Analysis The prevalence of obstructive lung function (plus symptoms) was compared by study and sex with 1) standardisation for age to the 2013 Standard European population and 2) stratification across 10 year age bands. Differences in the studies in the associations with age, sex, education, smoking, BMI and self-reported CVD were investigated by fitting separate logistic regression models with the outcomes 1) obstructive lung function and 2) obstructive lung function plus symptoms and testing for interactions between study and each risk factors using likelihood ratio tests. Interaction between age and pack-year history was investigated within each study by fitting logistic regression models with 1) obstructive lung function and 2) obstructive lung function plus symptoms as the outcomes adjusted for sex (and city for KYH) with and without interaction terms between age and pack-year history and comparing these using likelihood ratio tests. These interactions were investigated because of observed differences in the distribution of age and pack-year history between the studies. Prevalence of current smoking, self-report of diagnosis, and medication use in those with obstructive lung disease was compared between the studies across levels of reported respiratory symptoms (none, one symptom or both symptoms). Differences between studies were investigated using separate logistic regression models for each outcome and study as the exposure adjusted for 1) age and sex and 2) age, sex and respiratory symptoms. Interaction by sex and study was investigated using likelihood ratio tests and if there was evidence suggesting interaction results were presented stratified by sex. The prevalence of obstructive lung function (plus symptoms) was compared by study and sex with 1) standardisation for age to the 2013 Standard European population and 2) stratification across 10 year age bands. Differences in the studies in the associations with age, sex, education, smoking, BMI and self-reported CVD were investigated by fitting separate logistic regression models with the outcomes 1) obstructive lung function and 2) obstructive lung function plus symptoms and testing for interactions between study and each risk factors using likelihood ratio tests. Interaction between age and pack-year history was investigated within each study by fitting logistic regression models with 1) obstructive lung function and 2) obstructive lung function plus symptoms as the outcomes adjusted for sex (and city for KYH) with and without interaction terms between age and pack-year history and comparing these using likelihood ratio tests. These interactions were investigated because of observed differences in the distribution of age and pack-year history between the studies. Prevalence of current smoking, self-report of diagnosis, and medication use in those with obstructive lung disease was compared between the studies across levels of reported respiratory symptoms (none, one symptom or both symptoms). Differences between studies were investigated using separate logistic regression models for each outcome and study as the exposure adjusted for 1) age and sex and 2) age, sex and respiratory symptoms. Interaction by sex and study was investigated using likelihood ratio tests and if there was evidence suggesting interaction results were presented stratified by sex. Sensitivity Analysis to Investigate the Impact of Missing Data The main analyses were restricted to complete case analysis. As spirometry was conducted in a sub-set of participants in both studies, the potential impact of this was investigated by comparing the characteristics of those with spirometry data to the full sample (all health check attendees for KYH, all basic examination attendees Tromsø 7). To investigate whether differences in those included and excluded could have affected the estimates of prevalence of obstructive lung function (<LLN) sensitivity analyses were conducted. Separate multiple imputation models were fitted for each study imputing the outcome in those who did not complete the spirometry examination from age, sex, education, BMI, self-reported CVD, smoking status, pack-year history, chronic cough and MRC breathlessness scale. The main analyses were restricted to complete case analysis. As spirometry was conducted in a sub-set of participants in both studies, the potential impact of this was investigated by comparing the characteristics of those with spirometry data to the full sample (all health check attendees for KYH, all basic examination attendees Tromsø 7). To investigate whether differences in those included and excluded could have affected the estimates of prevalence of obstructive lung function (<LLN) sensitivity analyses were conducted. Separate multiple imputation models were fitted for each study imputing the outcome in those who did not complete the spirometry examination from age, sex, education, BMI, self-reported CVD, smoking status, pack-year history, chronic cough and MRC breathlessness scale. Study Populations: The study population was a sub-sample of participants aged 40–69 years taking part in the two population-based health surveys the Know Your Heart (KYH) Study21 conducted in the Russian cities of Arkhangelsk and Novosibirsk (2015–18) and the seventh survey of the Tromsø Study22 (Tromsø 7) conducted in the Norwegian municipality of Tromsø (2015–16). These studies were conducted in parallel and several aspects of data collection between the studies have been harmonized (including the measurement of breathlessness, quality criteria for spirometry and ATC coding of medications) providing a unique opportunity to compare lung function between general population samples in both countries. Know Your Heart Study Sample (Russia): Participants were identified from a population register of addresses and a random sample stratified by age, sex and district was selected (n=15,284 aged 40–69). Trained interviewers visited the addresses and invited participants to take part in the study. Participants who agreed to take part completed an interviewer-administered questionnaire which included questions on socio-demographic factors and self-reported morbidities (n=4654 aged 40–69). Participants were then invited to a health check which included a further questionnaire and a comprehensive medical examination (n= 4044 aged 40–69). Spirometry was an additional component of the health check offered to approximately 50% of participants. Selection of participants, for practical reasons, was determined by the day of the week that medical professionals trained in these procedures were available. The days of the week when spirometry was offered were varied throughout the fieldwork in order to minimize selection bias. Contra-indications for spirometry were: chest infection in the last month (ie, influenza, bronchitis, severe cold, pneumonia); history of detached retina; myocardial infarction in the past month; surgery to eyes, chest or abdomen in last 3 months; history of a collapsed lung; pregnancy (1st or 3rd trimester); currently on medications for tuberculosis. Uptake was high among those to whom it was offered (94.9% of participants invited to spirometry completed the examination) and in total lung function data are available for 45.7% of participants who attended the health check (n=1883 aged 40–69). Data on use of medications, smoking and self-report of respiratory symptoms were collected for all participants attending the health check. The Tromsø Study Sample (Norway): All inhabitants aged 40 and older were invited to take part in Tromsø 7 (n=32,591). Participants underwent a basic examination which involved questionnaires and interviews, biological sampling and clinical examinations (n=21,083 of which n=17,646 were aged 40–69). A subset of participants (randomly pre-marked before attendance with addition of previous participants from Tromsø 6 2007–2008) were invited to take part in extended examinations including spirometry. There were no contra-indications for spirometry assessment. In total spirometry was conducted on 5217 participants in the required age range. Spirometry Assessment: In KYH Spirometry was conducted using 6800 Pneumotrac spirometers (Vitalograph®, UK) and in Tromsø 7 using Vmax® Encore devices (Sensormedics® Corporation, USA). The spirometry examination took place alongside several other clinical examinations in both studies. Post-bronchodilator measurements were not taken in order to minimize burden for participants. For both studies, three measurements were taken. If less than 2 of the measures were acceptable then additional measurements were taken up to a maximum of eight. Maximum FEV1 and maximum FVC were used in analyses not necessarily from the same blow. Following data collection acceptability and reproducibility of results were determined by 1) removing blows where FEV1 was less than 300 mL and 2) excluding values where FEV3 was the same or greater than FVC. For Tromsø 7 the curves from the study were assessed and cleaned manually by the study team responsible for data collection. For KYH cases where the difference between maximum values and the second highest value for FEV1 and FVC were greater than 250 mL were evaluated. In cases where the maximum value is found to be an outlier (difference between 2nd and 3rd max<250mL) compared to other values the next highest value was used. Otherwise, the maximum was used. Outcome: The primary outcome definition was pre-bronchodilator FEV1: FVC ratio<Lower Limit Normal (LLN) with and without self-reported respiratory symptoms. LLN was calculated from the GLI LLN equations23 specifying ethnicity as white using GLI-2012 Desktop Software for Large Data Sets.24 The secondary definition of FEV1: FVC ratio<0.7 with and without symptoms was used to investigate impact of definition of the findings. Respiratory symptoms were defined as chronic cough and/or breathlessness. Breathlessness was measured in both studies using the MRC breathlessness scale.25 Breathlessness was categorised as grade 2 breathlessness or above (equivalent to grade 1 on the modified mMRC dyspnoea scale) “short of breath when hurrying on the level or walking up a slight hill”. Chronic cough was defined from the questions in Table 1. If participants answered “yes” to any of the questions on cough they were considered to have a chronic cough. Sensitivity analyses were conducted using a stricter definition of both breathlessness and cough to define respiratory symptoms.Table 1Questions on Chronic CoughKnow Your HeartTromsø 7Do you usually cough first thing in the morning in winter?Do you cough about daily for some periods of the year?Do you usually cough during the day or at night in winter?If you cough about daily for some periods of the year, is your cough productive?Do you cough like this on most days for as much as three months each year?If you cough about daily for some periods of the year, have you had this kind of cough for as long as 3 months in each of the last two years?Do you usually bring up phlegm from your chest first thing in the morning in winter?Do you usually bring up any phlegm from your chest during the day- or at night – in winter?Do you bring up phlegm like this on most days for as much as three months each year? Questions on Chronic Cough Risk Factors: Risk factors measured were age, sex, education, smoking status (never, ex-smoker, current smoker) and pack-year history calculated from questions on years smoked and number of cigarettes smoked per day, and body mass index (BMI) calculated from measured height and weight. Education was coded into three categories (lower, middle and higher) based on the education system within each country. In KYH these groups were lower (incomplete secondary and vocational no secondary), middle (complete secondary, vocational and secondary, specialised secondary) and higher (incomplete higher, higher) education. For Tromsø 7, these were lower (primary) middle (upper secondary) and higher (university/university college) education. Current smokers in both studies included participants those who smoked less than daily (KYH n=26; Tromsø 7 n=350). An indicator of existing CVD based on self-reported stroke and/or myocardial infarction was also included as an important factor associated with respiratory disease with different expected prevalence between the two studies. Awareness of COPD: Awareness was assessed from self-report of chronic lung disease. In KYH this was assessed with the question “Have you ever been told by a doctor (been diagnosed) that you have chronic bronchitis/COPD?” In Tromsø 7 this question was “Have you ever had, or do you have chronic bronchitis/emphysema/COPD?”. Participants who reported they had a diagnosis either now or previously were categorised as aware of COPD status. Management of COPD: Management of COPD was compared on two levels: smoking cessation and pharmacological management according to Global Initiative for Chronic Obstructive Disease (GOLD) guidelines.26 Levels of smoking cessation were assessed by comparing the proportion of those with obstructive lung function ± respiratory symptoms who were current smokers. In the KYH two additional questions on smoking cessation advice and assistance were asked to participants who reported they were smokers “Have you ever been advised by a medical professional (your GP, cardiologist, any other physician) to stop smoking?” and “was any assistance offered?” For both studies, data on use of current medications were collected and coded in accordance with the International WHO Anatomical Therapeutic Chemical (ATC) classification system version 2016.27 Pharmacological treatment was compared across two domains of use applicable to participants in population-based studies: maintenance treatment and short-acting symptomatic treatment. Maintenance treatment was defined as the use of long-acting muscarinic antagonists (R03BB) (LAMA); long-acting beta-2 agonists (R03AC12, 13, 18 and 19) (LABA); combination of long-acting beta-2 agonists with steroids or long-acting muscarinics (R03AK, R03AL); theophylline (R03DA04); roflumilast (R03DX07)). Short-acting symptomatic treatment was defined as the use of short-acting beta agonists (R03AC02, 03, 04)). Statistical Analysis: The prevalence of obstructive lung function (plus symptoms) was compared by study and sex with 1) standardisation for age to the 2013 Standard European population and 2) stratification across 10 year age bands. Differences in the studies in the associations with age, sex, education, smoking, BMI and self-reported CVD were investigated by fitting separate logistic regression models with the outcomes 1) obstructive lung function and 2) obstructive lung function plus symptoms and testing for interactions between study and each risk factors using likelihood ratio tests. Interaction between age and pack-year history was investigated within each study by fitting logistic regression models with 1) obstructive lung function and 2) obstructive lung function plus symptoms as the outcomes adjusted for sex (and city for KYH) with and without interaction terms between age and pack-year history and comparing these using likelihood ratio tests. These interactions were investigated because of observed differences in the distribution of age and pack-year history between the studies. Prevalence of current smoking, self-report of diagnosis, and medication use in those with obstructive lung disease was compared between the studies across levels of reported respiratory symptoms (none, one symptom or both symptoms). Differences between studies were investigated using separate logistic regression models for each outcome and study as the exposure adjusted for 1) age and sex and 2) age, sex and respiratory symptoms. Interaction by sex and study was investigated using likelihood ratio tests and if there was evidence suggesting interaction results were presented stratified by sex. Sensitivity Analysis to Investigate the Impact of Missing Data: The main analyses were restricted to complete case analysis. As spirometry was conducted in a sub-set of participants in both studies, the potential impact of this was investigated by comparing the characteristics of those with spirometry data to the full sample (all health check attendees for KYH, all basic examination attendees Tromsø 7). To investigate whether differences in those included and excluded could have affected the estimates of prevalence of obstructive lung function (<LLN) sensitivity analyses were conducted. Separate multiple imputation models were fitted for each study imputing the outcome in those who did not complete the spirometry examination from age, sex, education, BMI, self-reported CVD, smoking status, pack-year history, chronic cough and MRC breathlessness scale. Results: In total there were 1883 participants in KYH (41.8% men) and 5217 participants in Tromsø 7 (45.7% men) aged 40–69 with data from spirometry. Characteristics of participants by sex and study are shown in Table 2. Although the proportion of men in the oldest age group was higher for the Tromsø 7 men, the KYH men had a higher smoking pack-year history.Table 2Characteristics of Participants by Sex and Study. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016Know Your HeartTromsø 7WomenMenWomenMenN(%)N(%)N(%)N(%)Total sample1096(100)787(100)2831(100)2386(100)Age, years40–49331(30.2)238(30.2)553(19.5)471(19.7)50–59384(35.0)259(32.9)716(25.3)526(22.1)60–69381(34.8)290(36.9)1562(55.2)1389(58.2)CityArkhangelsk538(49.1)405(51.5)––Novosibirsk558(50.9)382(48.5)––EducationLower58(5.3)63(8.0)660(23.6)537(22.7)Middle586(53.5)405(51.5)782(28.0)717(30.4)Higher452(41.2)319(40.5)1356(48.5)1107(48.9)Missing003325Smoking statusNever744(67.9)217(27.6)958(34.1)856(36.3)Ex-smoker173(15.8)285(36.3)1453(51.7)1131(47.9)Current smoker179(16.3)283(36.1)400(14.2)374(15.8)Missing022025Smoking pack years among ever smokers>0<10184(60.1)85(15.5)940(52.6)564(38.2)10–1954(17.7)104(18.9)478(26.8)433(29.3)20–2945(14.7)163(29.6)246(13.8)220(14.9)30–3914(4.6)109(19.8)83(4.6)167(11.3)40+9(2.9)89(16.2)40(2.2)92(6.2)Missing46186629Body mass index, kg/m2<18.513(1.2)9(1.2)29(1.0)2(0.1)18.5–24.9317(29.0)218(27.7)1119(39.6)572(24.0)25–29.9361(33.0)349(44.4)1095(38.7)1208(50.7)30–34.9259(23.7)166(21.1)430(15.2)471(19.8)>35144(13.2)44(5.6)154(5.5)130(5.5)Missing2143Self-reported Cardiovascular co-morbidity (stroke and/or myocardial infarction)Yes67(6.3)94(12.3)80(3.0)178(7.8)Missing242112798Chronic coughYes455(41.8)335(43.2)397(14.2)412(17.5)Missing7112731Breathlessness grade 2Yes672(62.2)306(39.3)854(30.2)593(24.9)Missing15878Respiratory symptomsNone283(26.4)316(41.0)1740(62.2)1517(64.6)Either cough or breathless467(43.5)273(35.5)873(31.2)666(28.4)Both cough and breathless324(30.2)181(23.5)184(6.6)164(7.0)Missing22173439FEV1: FVC ratio<0.7Yes123(11.2)154(19.6)542(19.2)526(22.1)FEV1: FVC ratio<LLN*Yes75(6.8)88(11.2)290(10.2)234(9.8)FEV1: FVC ratio<0.7 plus symptoms**Yes104(9.6)113(14.6)257(9.2)237(10.1)Missing22173439FEV1: FVC ratio<LLN* plus symptoms**Yes64(5.9)67(8.6)151(5.4)123(5.2)Missing22173439Ever diagnosedYes216(19.7)108(13.8)96(3.5)78(3.4)Missing139761Notes: *GLI LLN (z-score for FEV1/FVC ratio<-1.64). **Symptoms defined as cough and/or breathlessness. Characteristics of Participants by Sex and Study. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016 Notes: *GLI LLN (z-score for FEV1/FVC ratio<-1.64). **Symptoms defined as cough and/or breathlessness. There was no evidence for a difference in sex-stratified prevalences of obstructive lung function between the two Russian sites after adjusting for age, and due to small numbers findings from both sites were pooled. Prevalence of Obstructive Lung Function and Respiratory Symptoms The crude prevalence of obstructive lung function and respiratory symptoms by sex and study is shown in Table 2. Findings after age-standardisation were similar to the crude findings. Among women the age-standardized prevalence of obstructive lung function defined by LLN was higher (age-adjusted p value=0.006) in the Tromsø 7 women (9.4%) compared to the KYH women (6.8%) while there was no evidence for a difference by study in men (KYH men 11.0%; Tromsø 7 men 9.8% age-adjusted p value=0.21). The prevalence of reporting respiratory symptoms among those with obstructive lung function was substantially higher in KYH than Tromsø 7 in both men and women across all ages (Figure 1A and B). The age-standardized prevalence of COPD defined as obstructive lung function and one or more respiratory symptom was 8.3% in KYH men and 4.7% in Tromsø 7 men (age-adjusted p value<0.001). In women, this was 5.9% in KYH and 4.6% in Tromsø 7 (age-adjusted p value=0.18).Figure 1Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women. Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women. The positive predictive value of any respiratory symptoms for identifying obstructive lung function was low in both studies (10.4% in KYH; 14.4% in Tromsø 7). The marked differences in reporting of respiratory symptoms between the studies were also seen in those without obstructive lung function on spirometry (Supplementary Figure 1). The crude prevalence of obstructive lung function and respiratory symptoms by sex and study is shown in Table 2. Findings after age-standardisation were similar to the crude findings. Among women the age-standardized prevalence of obstructive lung function defined by LLN was higher (age-adjusted p value=0.006) in the Tromsø 7 women (9.4%) compared to the KYH women (6.8%) while there was no evidence for a difference by study in men (KYH men 11.0%; Tromsø 7 men 9.8% age-adjusted p value=0.21). The prevalence of reporting respiratory symptoms among those with obstructive lung function was substantially higher in KYH than Tromsø 7 in both men and women across all ages (Figure 1A and B). The age-standardized prevalence of COPD defined as obstructive lung function and one or more respiratory symptom was 8.3% in KYH men and 4.7% in Tromsø 7 men (age-adjusted p value<0.001). In women, this was 5.9% in KYH and 4.6% in Tromsø 7 (age-adjusted p value=0.18).Figure 1Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women. Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women. The positive predictive value of any respiratory symptoms for identifying obstructive lung function was low in both studies (10.4% in KYH; 14.4% in Tromsø 7). The marked differences in reporting of respiratory symptoms between the studies were also seen in those without obstructive lung function on spirometry (Supplementary Figure 1). Interaction in the Between-Study Differences by Sex, Age, Education, Smoking, BMI and Self-Reported CVD The associations between obstructive lung function and age, sex, education, smoking, BMI and self-reported CVD morbidity and interactions by study are shown in Table 3. There was no evidence for interaction in associations with age, education, smoking, BMI or self-reported CVD morbidity between the studies but there was strong evidence for a difference in association with sex (p=0.002). Women had lower odds of obstructive lung disease than men in KYH but similar odds as men in Tromsø 7. The between-study difference found in women was removed by additional adjustment for smoking history (odds ratio for association of study in women adjusted for age and pack-year history 1.02 95% CI 0.76, 1.37).Table 3Association Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total163/1883(8.7)524/5217(10.0)0.89 (0.74, 1.07)–SexMen88/787(11.2)1.00(ref)290/2831(10.2)1.00(ref)1.17 (0.90, 1.52)P=0.002Women75/1096(6.8)0.59(0.43, 0.81)234/2386(9.8)1.06(0.88, 1.27)0.69 (0.53, 0.90)Age, years40–4943/569(7.6)1.00(ref)99/1024(9.7)1.00(ref)0.77 (0.53, 1.12)P=0.6750–5953/643(8.2)1.10(0.73, 1.68)108/1242(8.7)0.88(0.67, 1.27)0.95 (0.67, 1.34)60–6967/671(10.0)1.35(0.91, 2.02)317/2951(10.7)1.13(0.89, 1.43)0.92 (0.70, 1.21)Test for trendP=0.13P=0.15EducationLower19/121(15.7)1.65(0.96, 2.85)161/1197(13.5)1.55(1.22, 1.99)1.23 (0.73, 2.07)P=0.13Middle93/991(9.4)1.00(ref)135/1499(9.0)1.00(ref)1.12 (0.84, 1.48)Higher51/771(6.6)0.71(0.49, 1.01)220/2463(8.9)0.99(0.79, 1.24)0.73 (0.53, 1.00)Test for trendP=0.004P<0.001Smoking statusNever46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.82Ex-smoker38/458(8.3)1.73(1.08, 2.77)266/2584(10.3)2.10(1.64, 2.68)0.80 (0.56, 1.15)Current smoker78/462(16.9)4.14(2.73, 6.29)161/774(20.8)4.85(3.70, 6.37)0.86 (0.63, 1.18)Smoking Pack years (ever smokers)Never smoked46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.90>0<1021/269(7.8)1.80(1.04, 3.10)106/1504(7.1)1.39(1.04, 1.86)1.04 (0.63, 1.73)10–1916/158(10.1)2.59(1.37, 4.87)121/911(13.3)2.87(2.16, 3.82)0.92 (0.52, 1.65)20–2932/208(15.4)4.59(2.66, 7.91)92/466(19.7)4.64(3.40, 6.34)0.83 (0.51, 1.37)30–3923/123(18.7)5.62(3.02, 10.47)59/250(23.6)6.13(4.25, 8.84)0.82 (0.47, 1.43)40+22/98(22.5)7.55(3.98, 14.32)35/132(26.5)7.14(4.56, 11.17)0.70 (0.35, 1.41)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.58/22(36.4)4.14 (1.65, 10.39)11/31(35.5)3.67 (1.73, 7.78)0.79 (0.18, 3.52)P=0.6018.5–24.969/535(12.9)1.00 (ref)222/1691(13.1)1.00 (ref)1.15 (0.85, 1.55)25–29.944/710(6.2)0.39 (0.26, 0.59)203/2303(8.8)0.62 (0.51, 0.77)0.70 (0.50, 0.99)30–34.525/425(5.9)0.39 (0.24, 0.63)60/901(6.7)0.46 (0.34, 0.62)0.92 (0.56, 1.50)>3516/188(8.5)0.64 (0.36, 1.14)26/284(9.2)0.66 (0.43, 1.02)0.93 (0.47, 1.82)Test for trendP<0.001P<0.001Self-reported CVD co-morbidityNo150/1710(8.8)1.00 (ref)478/4799(10.0)1.00 (ref)0.92 (0.75, 1.12)0.54Yes13/167(7.8)0.73 (0.40, 1.33)28/264(10.6)1.04 (0.69, 1.57)0.72 (0.35, 1.46) Association Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016 The equivalent associations between obstructive lung function plus respiratory symptoms are shown in Table 4. In contrast to findings for obstructive lung function, there was strong evidence for higher odds of obstructive lung function plus symptoms in the KYH participants after adjustment for sex and age. This was seen in all ages and across categories of education and self-reported CVD morbidity. However, there was some evidence of effect modification by sex (p=0.06), pack years history (p=0.01) and smoking status (p=0.02) with largest between-study effect in never smokers and no evidence for a between-study effect in heavier smokers, and in women.Table 4Association Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total129/1844(7.0)272/5144(5.3)1.46 (1.17, 1.83)SexMen65/770(8.4)1.00(ref)121/2347(5.1)1.00(ref)1.78 (1.30, 2.46)P=0.06Women64/1074(6.0)0.69(0.48, 0.99)151/2797(5.4)1.06(0.83, 1.35)1.23 (0.91, 1.68)Age, years40–4931/559(5.5)1.00(ref)37/1015(3.7)1.00(ref)1.58 (0.97, 2.57)P=0.8450–5944/629(7.0)1.29(0.80, 2.07)56/1224(4.6)1.26(0.83, 1.93)1.58 (1.05, 2.37)60–6954/656(8.2)1.52(0.96, 2.40)179/2905(6.2)1.74(1.21, 2.49)1.36 (0.99, 1.87)Test for trendP=0.07P<0.001EducationLower15/117(12.8)1.64(0.90. 3.00)119/1170(10.2)2.17(1.59, 2.95)1.34 (0.75, 2.38)P=0.67Middle74/968(7.6)1.00(ref)71/1483(4.8)1.00(ref)1.79 (1.27, 2.52)Higher40/759(5.3)0.69(0.46, 1.03)76/2437(3.1)0.65(0.47, 0.91)1.76 (1.18, 2.62)Test for trendP=0.007P<0.001Smoking statusNever37/943(3.9)1.50(0.87, 2.59)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.02Ex-smoker25/451(5.5)1.00(ref)138/2563(5.4)3.55(2.33, 5.39)1.19 (0.75, 1.87)Current smoker67/450(14.9)4.70(2.98, 7.42)107/764(14.0)10.52(6.83, 16.20)1.18 (0.83, 1.67)Smoking Pack yearsNever smoked37/943(3.9)1.00(ref)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.01>0<1018/264(6.8)1.98(1.10, 3.56)41/1491(2.8)1.80(1.10, 2.94)2.89 (1.57, 5.30)10–1913/157(8.3)2.88(1.44, 5.78)65/898(7.2)5.09(3.22, 8.04)1.46 (0.75, 2.83)20–2923/200(11.5)4.44(2.40, 8.21)64/464(13.8)10.31(6.47, 16.43)1.01 (0.57, 1.79)30–3917/120(14.2)5.37(2.67, 10.81)41/250(16.4)13.36(7.97, 22.39)0.95 (0.50, 1.80)40+19/98(19.4)8.45(4.22, 16.90)28/131(21.4)18.40(10.34, 32.75)0.66 (0.31, 1.40)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.55/21(23.8)3.00 (1.04, 8.64)7/31(22.6)4.78 (2.00, 11.46)0.94 (0.16, 5.45)P=0.1418.5–24.953/525(10.1)1.00 (ref)95/1672(5.7)1.00 (ref)2.55 (1.75, 3.72)25–29.938/693(5.5)0.45 (0.29, 0.71)110/2267(4.9)0.82 (0.62, 1.10)1.19 (0.81, 1.75)30–34.521/420(5.0)0.42 (0.25, 0.71)39/887(4.4)0.74 (0.51, 1.10)1.20 (0.69, 2.10)>3511/183(6.0)0.54 (0.27, 1.07)19/280(6.8)1.24 (0.74, 2.06)0.87 (0.39, 1.94)Test for trendp<0.001p=0.22Self-reported CVD co-morbidityNo115/1677(6.9)1.00 (ref)242/4734(5.1)1.00 (ref)1.52 (1.20, 1.93)P=0.74Yes13/161(8.1)0.99 (0.54, 1.83)17/258(6.6)1.19 (0.71, 1.99)1.27 (0.58, 2.76) Association Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016 In sensitivity analysis using the stricter definition of respiratory symptoms (Supplementary Table 1), the between study difference was larger. There remained evidence for effect modification by pack-years smoked (no between study difference in heavier smokers >20 pack-years) but there was no evidence for effect modification by the other risk factors. Observed interactions between age and pack-year history within each study are shown in Supplementary Table 2. There was some evidence for interaction between age and pack-year history after adjusting for sex for the outcome obstructive lung function for Tromsø 7 with stronger association between pack-year history and age in the older participants (p=0.06). Conversely, there was good evidence for interaction between age and smoking pack-year history for obstructive lung function plus one of more respiratory symptoms but with stronger association between pack-year history and the outcome in the younger age groups (p=0.01). There was no evidence for interactions between age and pack-year history with obstructive lung function for KYH (p=0.18) or obstructive lung function plus 1 or more symptoms in Tromsø 7 (p=0.46). The associations between obstructive lung function and age, sex, education, smoking, BMI and self-reported CVD morbidity and interactions by study are shown in Table 3. There was no evidence for interaction in associations with age, education, smoking, BMI or self-reported CVD morbidity between the studies but there was strong evidence for a difference in association with sex (p=0.002). Women had lower odds of obstructive lung disease than men in KYH but similar odds as men in Tromsø 7. The between-study difference found in women was removed by additional adjustment for smoking history (odds ratio for association of study in women adjusted for age and pack-year history 1.02 95% CI 0.76, 1.37).Table 3Association Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total163/1883(8.7)524/5217(10.0)0.89 (0.74, 1.07)–SexMen88/787(11.2)1.00(ref)290/2831(10.2)1.00(ref)1.17 (0.90, 1.52)P=0.002Women75/1096(6.8)0.59(0.43, 0.81)234/2386(9.8)1.06(0.88, 1.27)0.69 (0.53, 0.90)Age, years40–4943/569(7.6)1.00(ref)99/1024(9.7)1.00(ref)0.77 (0.53, 1.12)P=0.6750–5953/643(8.2)1.10(0.73, 1.68)108/1242(8.7)0.88(0.67, 1.27)0.95 (0.67, 1.34)60–6967/671(10.0)1.35(0.91, 2.02)317/2951(10.7)1.13(0.89, 1.43)0.92 (0.70, 1.21)Test for trendP=0.13P=0.15EducationLower19/121(15.7)1.65(0.96, 2.85)161/1197(13.5)1.55(1.22, 1.99)1.23 (0.73, 2.07)P=0.13Middle93/991(9.4)1.00(ref)135/1499(9.0)1.00(ref)1.12 (0.84, 1.48)Higher51/771(6.6)0.71(0.49, 1.01)220/2463(8.9)0.99(0.79, 1.24)0.73 (0.53, 1.00)Test for trendP=0.004P<0.001Smoking statusNever46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.82Ex-smoker38/458(8.3)1.73(1.08, 2.77)266/2584(10.3)2.10(1.64, 2.68)0.80 (0.56, 1.15)Current smoker78/462(16.9)4.14(2.73, 6.29)161/774(20.8)4.85(3.70, 6.37)0.86 (0.63, 1.18)Smoking Pack years (ever smokers)Never smoked46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.90>0<1021/269(7.8)1.80(1.04, 3.10)106/1504(7.1)1.39(1.04, 1.86)1.04 (0.63, 1.73)10–1916/158(10.1)2.59(1.37, 4.87)121/911(13.3)2.87(2.16, 3.82)0.92 (0.52, 1.65)20–2932/208(15.4)4.59(2.66, 7.91)92/466(19.7)4.64(3.40, 6.34)0.83 (0.51, 1.37)30–3923/123(18.7)5.62(3.02, 10.47)59/250(23.6)6.13(4.25, 8.84)0.82 (0.47, 1.43)40+22/98(22.5)7.55(3.98, 14.32)35/132(26.5)7.14(4.56, 11.17)0.70 (0.35, 1.41)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.58/22(36.4)4.14 (1.65, 10.39)11/31(35.5)3.67 (1.73, 7.78)0.79 (0.18, 3.52)P=0.6018.5–24.969/535(12.9)1.00 (ref)222/1691(13.1)1.00 (ref)1.15 (0.85, 1.55)25–29.944/710(6.2)0.39 (0.26, 0.59)203/2303(8.8)0.62 (0.51, 0.77)0.70 (0.50, 0.99)30–34.525/425(5.9)0.39 (0.24, 0.63)60/901(6.7)0.46 (0.34, 0.62)0.92 (0.56, 1.50)>3516/188(8.5)0.64 (0.36, 1.14)26/284(9.2)0.66 (0.43, 1.02)0.93 (0.47, 1.82)Test for trendP<0.001P<0.001Self-reported CVD co-morbidityNo150/1710(8.8)1.00 (ref)478/4799(10.0)1.00 (ref)0.92 (0.75, 1.12)0.54Yes13/167(7.8)0.73 (0.40, 1.33)28/264(10.6)1.04 (0.69, 1.57)0.72 (0.35, 1.46) Association Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016 The equivalent associations between obstructive lung function plus respiratory symptoms are shown in Table 4. In contrast to findings for obstructive lung function, there was strong evidence for higher odds of obstructive lung function plus symptoms in the KYH participants after adjustment for sex and age. This was seen in all ages and across categories of education and self-reported CVD morbidity. However, there was some evidence of effect modification by sex (p=0.06), pack years history (p=0.01) and smoking status (p=0.02) with largest between-study effect in never smokers and no evidence for a between-study effect in heavier smokers, and in women.Table 4Association Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total129/1844(7.0)272/5144(5.3)1.46 (1.17, 1.83)SexMen65/770(8.4)1.00(ref)121/2347(5.1)1.00(ref)1.78 (1.30, 2.46)P=0.06Women64/1074(6.0)0.69(0.48, 0.99)151/2797(5.4)1.06(0.83, 1.35)1.23 (0.91, 1.68)Age, years40–4931/559(5.5)1.00(ref)37/1015(3.7)1.00(ref)1.58 (0.97, 2.57)P=0.8450–5944/629(7.0)1.29(0.80, 2.07)56/1224(4.6)1.26(0.83, 1.93)1.58 (1.05, 2.37)60–6954/656(8.2)1.52(0.96, 2.40)179/2905(6.2)1.74(1.21, 2.49)1.36 (0.99, 1.87)Test for trendP=0.07P<0.001EducationLower15/117(12.8)1.64(0.90. 3.00)119/1170(10.2)2.17(1.59, 2.95)1.34 (0.75, 2.38)P=0.67Middle74/968(7.6)1.00(ref)71/1483(4.8)1.00(ref)1.79 (1.27, 2.52)Higher40/759(5.3)0.69(0.46, 1.03)76/2437(3.1)0.65(0.47, 0.91)1.76 (1.18, 2.62)Test for trendP=0.007P<0.001Smoking statusNever37/943(3.9)1.50(0.87, 2.59)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.02Ex-smoker25/451(5.5)1.00(ref)138/2563(5.4)3.55(2.33, 5.39)1.19 (0.75, 1.87)Current smoker67/450(14.9)4.70(2.98, 7.42)107/764(14.0)10.52(6.83, 16.20)1.18 (0.83, 1.67)Smoking Pack yearsNever smoked37/943(3.9)1.00(ref)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.01>0<1018/264(6.8)1.98(1.10, 3.56)41/1491(2.8)1.80(1.10, 2.94)2.89 (1.57, 5.30)10–1913/157(8.3)2.88(1.44, 5.78)65/898(7.2)5.09(3.22, 8.04)1.46 (0.75, 2.83)20–2923/200(11.5)4.44(2.40, 8.21)64/464(13.8)10.31(6.47, 16.43)1.01 (0.57, 1.79)30–3917/120(14.2)5.37(2.67, 10.81)41/250(16.4)13.36(7.97, 22.39)0.95 (0.50, 1.80)40+19/98(19.4)8.45(4.22, 16.90)28/131(21.4)18.40(10.34, 32.75)0.66 (0.31, 1.40)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.55/21(23.8)3.00 (1.04, 8.64)7/31(22.6)4.78 (2.00, 11.46)0.94 (0.16, 5.45)P=0.1418.5–24.953/525(10.1)1.00 (ref)95/1672(5.7)1.00 (ref)2.55 (1.75, 3.72)25–29.938/693(5.5)0.45 (0.29, 0.71)110/2267(4.9)0.82 (0.62, 1.10)1.19 (0.81, 1.75)30–34.521/420(5.0)0.42 (0.25, 0.71)39/887(4.4)0.74 (0.51, 1.10)1.20 (0.69, 2.10)>3511/183(6.0)0.54 (0.27, 1.07)19/280(6.8)1.24 (0.74, 2.06)0.87 (0.39, 1.94)Test for trendp<0.001p=0.22Self-reported CVD co-morbidityNo115/1677(6.9)1.00 (ref)242/4734(5.1)1.00 (ref)1.52 (1.20, 1.93)P=0.74Yes13/161(8.1)0.99 (0.54, 1.83)17/258(6.6)1.19 (0.71, 1.99)1.27 (0.58, 2.76) Association Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016 In sensitivity analysis using the stricter definition of respiratory symptoms (Supplementary Table 1), the between study difference was larger. There remained evidence for effect modification by pack-years smoked (no between study difference in heavier smokers >20 pack-years) but there was no evidence for effect modification by the other risk factors. Observed interactions between age and pack-year history within each study are shown in Supplementary Table 2. There was some evidence for interaction between age and pack-year history after adjusting for sex for the outcome obstructive lung function for Tromsø 7 with stronger association between pack-year history and age in the older participants (p=0.06). Conversely, there was good evidence for interaction between age and smoking pack-year history for obstructive lung function plus one of more respiratory symptoms but with stronger association between pack-year history and the outcome in the younger age groups (p=0.01). There was no evidence for interactions between age and pack-year history with obstructive lung function for KYH (p=0.18) or obstructive lung function plus 1 or more symptoms in Tromsø 7 (p=0.46). Awareness and Management Among Those with Obstructive Lung Function The levels of awareness and management among those with obstructive lung function by study, sex and reported respiratory symptoms are shown in Table 5. There was evidence for a difference in the between-study association with current smoking by sex therefore associations for current smoking are shown stratified by sex. There was no evidence for an interaction between sex and study for levels of awareness (test for interaction p=0.44) and pharmacological managements (maintenance treatment test for interaction p=0.37; relief of symptoms p=0.91).Table 5Awareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016No Symptoms (n=29 KYH) (n=246 Tromsø 7)Cough or Breathless (n=58 KYH) (n=196 Tromsø 7)Cough and Breathless (n=71 KYH) (n=76 Tromsø 7)Test for Trend with Symptoms (Adjusted Age and Sex)Total (n=158 KYH*) (n=493 Tromsø 7)N(%)N(%)N(%)N(%)Self-report ever diagnosedKYH2(6.9)14(24.1)41(57.8)P<0.00157(36.1)Tromsø 711(4.6)39(21.2)33(48.5)P<0.00183(16.8)Age and sex adjusted OR Tromsø 7/KYH (95% CI)0.48(0.09, 2.44)0.70(0.34, 1.45)0.59(0.29, 1.20)0.29(0.19, 0.44)Currently smokesKYH men6(33.3)15(53.6)28(75.7)P=0.00349(59.0)Tromsø 7 men19(17.3)30(38.0)24(57.1)P<0.00173(31.6)Age adjusted OR Tromsø 7/KYH0.43(0.13, 1.38)0.54(0.22, 1.36)0.41(0.14, 1.23)0.30(0.18, 0.51)KYH women2(18.2)9(30.0)15(44.1)P=0.0326(34.7)Tromsø 7 women33(24.6)36(30.8)17(50.0)P=0.00886(30.2)Age adjusted OR Tromsø 7/KYH1.00(0.19, 5.26)1.13(0.45, 2.85)1.71(0.52, 5.59)0.87(0.50, 1.51)Maintenance treatmentaKYH1(3.7)4(7.3)9(12.9)P=0.1214(9.2)Tromsø 717(6.9)31(15.8)28(36.8)P<0.00176(14.7)Age and sex adjusted OR Tromsø 7/KYH1.52(0.18, 12.77)2.46(0.80, 7.56)3.80(1.50, 9.63)1.56(0.85, 2.88)Short acting symptomatic treatmentbKYH0(0.0)2(3.6)5(7.1)P=0.127(4.6)Tromsø 76(2.4)17(8.7)15(19.7)P<0.00138(7.3)Age and sex adjusted OR Tromsø 7/KYH-3.18(0.68, 14.88)4.49(1.19, 16.97)1.72(0.74, 3.98)Notes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04. Awareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016 Notes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04. The levels of awareness and management among those with obstructive lung function by study, sex and reported respiratory symptoms are shown in Table 5. There was evidence for a difference in the between-study association with current smoking by sex therefore associations for current smoking are shown stratified by sex. There was no evidence for an interaction between sex and study for levels of awareness (test for interaction p=0.44) and pharmacological managements (maintenance treatment test for interaction p=0.37; relief of symptoms p=0.91).Table 5Awareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016No Symptoms (n=29 KYH) (n=246 Tromsø 7)Cough or Breathless (n=58 KYH) (n=196 Tromsø 7)Cough and Breathless (n=71 KYH) (n=76 Tromsø 7)Test for Trend with Symptoms (Adjusted Age and Sex)Total (n=158 KYH*) (n=493 Tromsø 7)N(%)N(%)N(%)N(%)Self-report ever diagnosedKYH2(6.9)14(24.1)41(57.8)P<0.00157(36.1)Tromsø 711(4.6)39(21.2)33(48.5)P<0.00183(16.8)Age and sex adjusted OR Tromsø 7/KYH (95% CI)0.48(0.09, 2.44)0.70(0.34, 1.45)0.59(0.29, 1.20)0.29(0.19, 0.44)Currently smokesKYH men6(33.3)15(53.6)28(75.7)P=0.00349(59.0)Tromsø 7 men19(17.3)30(38.0)24(57.1)P<0.00173(31.6)Age adjusted OR Tromsø 7/KYH0.43(0.13, 1.38)0.54(0.22, 1.36)0.41(0.14, 1.23)0.30(0.18, 0.51)KYH women2(18.2)9(30.0)15(44.1)P=0.0326(34.7)Tromsø 7 women33(24.6)36(30.8)17(50.0)P=0.00886(30.2)Age adjusted OR Tromsø 7/KYH1.00(0.19, 5.26)1.13(0.45, 2.85)1.71(0.52, 5.59)0.87(0.50, 1.51)Maintenance treatmentaKYH1(3.7)4(7.3)9(12.9)P=0.1214(9.2)Tromsø 717(6.9)31(15.8)28(36.8)P<0.00176(14.7)Age and sex adjusted OR Tromsø 7/KYH1.52(0.18, 12.77)2.46(0.80, 7.56)3.80(1.50, 9.63)1.56(0.85, 2.88)Short acting symptomatic treatmentbKYH0(0.0)2(3.6)5(7.1)P=0.127(4.6)Tromsø 76(2.4)17(8.7)15(19.7)P<0.00138(7.3)Age and sex adjusted OR Tromsø 7/KYH-3.18(0.68, 14.88)4.49(1.19, 16.97)1.72(0.74, 3.98)Notes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04. Awareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016 Notes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04. Awareness of COPD There was strong evidence that awareness of COPD was lower among the Tromsø 7 participants (age and sex adjusted odds ratio 0.29 (95% CI 0.19, 0.44). However, awareness was strongly related to reporting of respiratory symptoms (Table 5) and on adjustment for respiratory symptoms this association was substantially reduced (OR 0.62 (95% CI 0.38, 1.01). There was strong evidence that awareness of COPD was lower among the Tromsø 7 participants (age and sex adjusted odds ratio 0.29 (95% CI 0.19, 0.44). However, awareness was strongly related to reporting of respiratory symptoms (Table 5) and on adjustment for respiratory symptoms this association was substantially reduced (OR 0.62 (95% CI 0.38, 1.01). Smoking and Smoking Cessation After adjusting for age, current smoking among those with obstructive lung function was more common among the KYH participants in men (OR 3.30 95% CI 1.95, 5.61) but similar in KYH/Tromsø 7 participants in women (OR 1.15 95% CI 0.66, 2.01). In both studies, the prevalence of being a current smoker was higher among participants reporting respiratory symptoms (Table 5). Among the KYH participants who had ever smoked the majority of those with obstructive lung disease plus symptoms had been advised to stop smoking by a doctor (62/90 68.9%). However, the proportion of these participants who reported they were offered assistance to stop smoking was much lower (7/90 8%). After adjusting for age, current smoking among those with obstructive lung function was more common among the KYH participants in men (OR 3.30 95% CI 1.95, 5.61) but similar in KYH/Tromsø 7 participants in women (OR 1.15 95% CI 0.66, 2.01). In both studies, the prevalence of being a current smoker was higher among participants reporting respiratory symptoms (Table 5). Among the KYH participants who had ever smoked the majority of those with obstructive lung disease plus symptoms had been advised to stop smoking by a doctor (62/90 68.9%). However, the proportion of these participants who reported they were offered assistance to stop smoking was much lower (7/90 8%). Pharmacological Management The prevalence of use of medications for COPD by study and reporting of respiratory symptoms is shown in Table 5. The majority of participants with obstructive lung function were not using medications for management of COPD. The use of medications for maintenance and for symptom relief was higher in those reporting respiratory symptoms in Tromsø 7 (test for trend p<0.001) but there was only weak evidence for an association between medication use and symptoms in KYH (test for trend p=0.12) although the numbers reporting any medication use were extremely low limiting power to detect any association. While there was no evidence for a difference in medication use between studies after adjusting for age and sex (Table 5), after additional adjustment for the level of reported symptoms there was strong evidence that the odds of receiving maintenance therapy (OR 2.90 95% CI 1.48, 5.70) and short-acting treatments (OR 3.56 95% CI 1.43, 8.87) for symptoms relief were higher for participants in Tromsø 7. The prevalence of use of medications for COPD by study and reporting of respiratory symptoms is shown in Table 5. The majority of participants with obstructive lung function were not using medications for management of COPD. The use of medications for maintenance and for symptom relief was higher in those reporting respiratory symptoms in Tromsø 7 (test for trend p<0.001) but there was only weak evidence for an association between medication use and symptoms in KYH (test for trend p=0.12) although the numbers reporting any medication use were extremely low limiting power to detect any association. While there was no evidence for a difference in medication use between studies after adjusting for age and sex (Table 5), after additional adjustment for the level of reported symptoms there was strong evidence that the odds of receiving maintenance therapy (OR 2.90 95% CI 1.48, 5.70) and short-acting treatments (OR 3.56 95% CI 1.43, 8.87) for symptoms relief were higher for participants in Tromsø 7. Impact of Missing Data on Spirometry Testing The characteristics of those who did and did not complete the spirometry examination in both studies are shown in Supplementary Table 3. The factors associated with completing spirometry differed between the two studies. In KYH the main factor associated with spirometry was age with good evidence that those with spirometry were younger than all participants attending the health check. There was also weak evidence those with spirometry were more highly educated, had lower BMI and reported less breathlessness. In Tromsø 7, there were substantial differences in age between those with and without spirometry but in contrast to KYH those with spirometry data were older in keeping with additional inclusion of those who attended previous examinations in the sample selection. There was also evidence that those with spirometry were more likely to be women, have lower levels of education, be ex-smokers, have lower BMI, and less likely to report existing CVD. The prevalence of obstructive lung disease estimated in sensitivity analyses using multiple imputation by age and sex is shown in Supplementary Figures 2A and B. The substantive findings were not different using multiple imputation to complete case analysis. The characteristics of those who did and did not complete the spirometry examination in both studies are shown in Supplementary Table 3. The factors associated with completing spirometry differed between the two studies. In KYH the main factor associated with spirometry was age with good evidence that those with spirometry were younger than all participants attending the health check. There was also weak evidence those with spirometry were more highly educated, had lower BMI and reported less breathlessness. In Tromsø 7, there were substantial differences in age between those with and without spirometry but in contrast to KYH those with spirometry data were older in keeping with additional inclusion of those who attended previous examinations in the sample selection. There was also evidence that those with spirometry were more likely to be women, have lower levels of education, be ex-smokers, have lower BMI, and less likely to report existing CVD. The prevalence of obstructive lung disease estimated in sensitivity analyses using multiple imputation by age and sex is shown in Supplementary Figures 2A and B. The substantive findings were not different using multiple imputation to complete case analysis. Prevalence of Obstructive Lung Function and Respiratory Symptoms: The crude prevalence of obstructive lung function and respiratory symptoms by sex and study is shown in Table 2. Findings after age-standardisation were similar to the crude findings. Among women the age-standardized prevalence of obstructive lung function defined by LLN was higher (age-adjusted p value=0.006) in the Tromsø 7 women (9.4%) compared to the KYH women (6.8%) while there was no evidence for a difference by study in men (KYH men 11.0%; Tromsø 7 men 9.8% age-adjusted p value=0.21). The prevalence of reporting respiratory symptoms among those with obstructive lung function was substantially higher in KYH than Tromsø 7 in both men and women across all ages (Figure 1A and B). The age-standardized prevalence of COPD defined as obstructive lung function and one or more respiratory symptom was 8.3% in KYH men and 4.7% in Tromsø 7 men (age-adjusted p value<0.001). In women, this was 5.9% in KYH and 4.6% in Tromsø 7 (age-adjusted p value=0.18).Figure 1Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women. Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms by age and study in men and women. (A) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in men. (B) Prevalence of obstructive lung disease (FEV1: FVC Ratio<GLI LLN) with and without respiratory symptoms in women. The positive predictive value of any respiratory symptoms for identifying obstructive lung function was low in both studies (10.4% in KYH; 14.4% in Tromsø 7). The marked differences in reporting of respiratory symptoms between the studies were also seen in those without obstructive lung function on spirometry (Supplementary Figure 1). Interaction in the Between-Study Differences by Sex, Age, Education, Smoking, BMI and Self-Reported CVD: The associations between obstructive lung function and age, sex, education, smoking, BMI and self-reported CVD morbidity and interactions by study are shown in Table 3. There was no evidence for interaction in associations with age, education, smoking, BMI or self-reported CVD morbidity between the studies but there was strong evidence for a difference in association with sex (p=0.002). Women had lower odds of obstructive lung disease than men in KYH but similar odds as men in Tromsø 7. The between-study difference found in women was removed by additional adjustment for smoking history (odds ratio for association of study in women adjusted for age and pack-year history 1.02 95% CI 0.76, 1.37).Table 3Association Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total163/1883(8.7)524/5217(10.0)0.89 (0.74, 1.07)–SexMen88/787(11.2)1.00(ref)290/2831(10.2)1.00(ref)1.17 (0.90, 1.52)P=0.002Women75/1096(6.8)0.59(0.43, 0.81)234/2386(9.8)1.06(0.88, 1.27)0.69 (0.53, 0.90)Age, years40–4943/569(7.6)1.00(ref)99/1024(9.7)1.00(ref)0.77 (0.53, 1.12)P=0.6750–5953/643(8.2)1.10(0.73, 1.68)108/1242(8.7)0.88(0.67, 1.27)0.95 (0.67, 1.34)60–6967/671(10.0)1.35(0.91, 2.02)317/2951(10.7)1.13(0.89, 1.43)0.92 (0.70, 1.21)Test for trendP=0.13P=0.15EducationLower19/121(15.7)1.65(0.96, 2.85)161/1197(13.5)1.55(1.22, 1.99)1.23 (0.73, 2.07)P=0.13Middle93/991(9.4)1.00(ref)135/1499(9.0)1.00(ref)1.12 (0.84, 1.48)Higher51/771(6.6)0.71(0.49, 1.01)220/2463(8.9)0.99(0.79, 1.24)0.73 (0.53, 1.00)Test for trendP=0.004P<0.001Smoking statusNever46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.82Ex-smoker38/458(8.3)1.73(1.08, 2.77)266/2584(10.3)2.10(1.64, 2.68)0.80 (0.56, 1.15)Current smoker78/462(16.9)4.14(2.73, 6.29)161/774(20.8)4.85(3.70, 6.37)0.86 (0.63, 1.18)Smoking Pack years (ever smokers)Never smoked46/961(4.8)1.00(ref)93/1814(5.1)1.00(ref)0.92 (0.64, 1.34)P=0.90>0<1021/269(7.8)1.80(1.04, 3.10)106/1504(7.1)1.39(1.04, 1.86)1.04 (0.63, 1.73)10–1916/158(10.1)2.59(1.37, 4.87)121/911(13.3)2.87(2.16, 3.82)0.92 (0.52, 1.65)20–2932/208(15.4)4.59(2.66, 7.91)92/466(19.7)4.64(3.40, 6.34)0.83 (0.51, 1.37)30–3923/123(18.7)5.62(3.02, 10.47)59/250(23.6)6.13(4.25, 8.84)0.82 (0.47, 1.43)40+22/98(22.5)7.55(3.98, 14.32)35/132(26.5)7.14(4.56, 11.17)0.70 (0.35, 1.41)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.58/22(36.4)4.14 (1.65, 10.39)11/31(35.5)3.67 (1.73, 7.78)0.79 (0.18, 3.52)P=0.6018.5–24.969/535(12.9)1.00 (ref)222/1691(13.1)1.00 (ref)1.15 (0.85, 1.55)25–29.944/710(6.2)0.39 (0.26, 0.59)203/2303(8.8)0.62 (0.51, 0.77)0.70 (0.50, 0.99)30–34.525/425(5.9)0.39 (0.24, 0.63)60/901(6.7)0.46 (0.34, 0.62)0.92 (0.56, 1.50)>3516/188(8.5)0.64 (0.36, 1.14)26/284(9.2)0.66 (0.43, 1.02)0.93 (0.47, 1.82)Test for trendP<0.001P<0.001Self-reported CVD co-morbidityNo150/1710(8.8)1.00 (ref)478/4799(10.0)1.00 (ref)0.92 (0.75, 1.12)0.54Yes13/167(7.8)0.73 (0.40, 1.33)28/264(10.6)1.04 (0.69, 1.57)0.72 (0.35, 1.46) Association Between Obstructive Lung Disease and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016 The equivalent associations between obstructive lung function plus respiratory symptoms are shown in Table 4. In contrast to findings for obstructive lung function, there was strong evidence for higher odds of obstructive lung function plus symptoms in the KYH participants after adjustment for sex and age. This was seen in all ages and across categories of education and self-reported CVD morbidity. However, there was some evidence of effect modification by sex (p=0.06), pack years history (p=0.01) and smoking status (p=0.02) with largest between-study effect in never smokers and no evidence for a between-study effect in heavier smokers, and in women.Table 4Association Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016KYHTromsø 7Odds Ratio for Study KYH/Tromsø 7 Adjusted for Age and SexLikelihood Ratio Test for Interaction by Study Adjusted for Age and SexPrevalence n/N (%)Odds Ratio Age, Sex and City Adjusted Association with Risk Factor (95% CI)Prevalence n/N (%)Odds Ratio Age and Sex Adjusted Association with Risk Factor (95% CI)Total129/1844(7.0)272/5144(5.3)1.46 (1.17, 1.83)SexMen65/770(8.4)1.00(ref)121/2347(5.1)1.00(ref)1.78 (1.30, 2.46)P=0.06Women64/1074(6.0)0.69(0.48, 0.99)151/2797(5.4)1.06(0.83, 1.35)1.23 (0.91, 1.68)Age, years40–4931/559(5.5)1.00(ref)37/1015(3.7)1.00(ref)1.58 (0.97, 2.57)P=0.8450–5944/629(7.0)1.29(0.80, 2.07)56/1224(4.6)1.26(0.83, 1.93)1.58 (1.05, 2.37)60–6954/656(8.2)1.52(0.96, 2.40)179/2905(6.2)1.74(1.21, 2.49)1.36 (0.99, 1.87)Test for trendP=0.07P<0.001EducationLower15/117(12.8)1.64(0.90. 3.00)119/1170(10.2)2.17(1.59, 2.95)1.34 (0.75, 2.38)P=0.67Middle74/968(7.6)1.00(ref)71/1483(4.8)1.00(ref)1.79 (1.27, 2.52)Higher40/759(5.3)0.69(0.46, 1.03)76/2437(3.1)0.65(0.47, 0.91)1.76 (1.18, 2.62)Test for trendP=0.007P<0.001Smoking statusNever37/943(3.9)1.50(0.87, 2.59)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.02Ex-smoker25/451(5.5)1.00(ref)138/2563(5.4)3.55(2.33, 5.39)1.19 (0.75, 1.87)Current smoker67/450(14.9)4.70(2.98, 7.42)107/764(14.0)10.52(6.83, 16.20)1.18 (0.83, 1.67)Smoking Pack yearsNever smoked37/943(3.9)1.00(ref)27/1800(1.5)1.00(ref)2.50 (1.49, 4.21)P=0.01>0<1018/264(6.8)1.98(1.10, 3.56)41/1491(2.8)1.80(1.10, 2.94)2.89 (1.57, 5.30)10–1913/157(8.3)2.88(1.44, 5.78)65/898(7.2)5.09(3.22, 8.04)1.46 (0.75, 2.83)20–2923/200(11.5)4.44(2.40, 8.21)64/464(13.8)10.31(6.47, 16.43)1.01 (0.57, 1.79)30–3917/120(14.2)5.37(2.67, 10.81)41/250(16.4)13.36(7.97, 22.39)0.95 (0.50, 1.80)40+19/98(19.4)8.45(4.22, 16.90)28/131(21.4)18.40(10.34, 32.75)0.66 (0.31, 1.40)Test for trendP<0.001P<0.001Body mass index, kg/m2<18.55/21(23.8)3.00 (1.04, 8.64)7/31(22.6)4.78 (2.00, 11.46)0.94 (0.16, 5.45)P=0.1418.5–24.953/525(10.1)1.00 (ref)95/1672(5.7)1.00 (ref)2.55 (1.75, 3.72)25–29.938/693(5.5)0.45 (0.29, 0.71)110/2267(4.9)0.82 (0.62, 1.10)1.19 (0.81, 1.75)30–34.521/420(5.0)0.42 (0.25, 0.71)39/887(4.4)0.74 (0.51, 1.10)1.20 (0.69, 2.10)>3511/183(6.0)0.54 (0.27, 1.07)19/280(6.8)1.24 (0.74, 2.06)0.87 (0.39, 1.94)Test for trendp<0.001p=0.22Self-reported CVD co-morbidityNo115/1677(6.9)1.00 (ref)242/4734(5.1)1.00 (ref)1.52 (1.20, 1.93)P=0.74Yes13/161(8.1)0.99 (0.54, 1.83)17/258(6.6)1.19 (0.71, 1.99)1.27 (0.58, 2.76) Association Between Obstructive Lung Disease with Respiratory Symptoms (Cough and/or Breathlessness) and Sex, Age, Education, Body Mass Index and Smoking by Study (Ages 40–69). Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016 In sensitivity analysis using the stricter definition of respiratory symptoms (Supplementary Table 1), the between study difference was larger. There remained evidence for effect modification by pack-years smoked (no between study difference in heavier smokers >20 pack-years) but there was no evidence for effect modification by the other risk factors. Observed interactions between age and pack-year history within each study are shown in Supplementary Table 2. There was some evidence for interaction between age and pack-year history after adjusting for sex for the outcome obstructive lung function for Tromsø 7 with stronger association between pack-year history and age in the older participants (p=0.06). Conversely, there was good evidence for interaction between age and smoking pack-year history for obstructive lung function plus one of more respiratory symptoms but with stronger association between pack-year history and the outcome in the younger age groups (p=0.01). There was no evidence for interactions between age and pack-year history with obstructive lung function for KYH (p=0.18) or obstructive lung function plus 1 or more symptoms in Tromsø 7 (p=0.46). Awareness and Management Among Those with Obstructive Lung Function: The levels of awareness and management among those with obstructive lung function by study, sex and reported respiratory symptoms are shown in Table 5. There was evidence for a difference in the between-study association with current smoking by sex therefore associations for current smoking are shown stratified by sex. There was no evidence for an interaction between sex and study for levels of awareness (test for interaction p=0.44) and pharmacological managements (maintenance treatment test for interaction p=0.37; relief of symptoms p=0.91).Table 5Awareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016No Symptoms (n=29 KYH) (n=246 Tromsø 7)Cough or Breathless (n=58 KYH) (n=196 Tromsø 7)Cough and Breathless (n=71 KYH) (n=76 Tromsø 7)Test for Trend with Symptoms (Adjusted Age and Sex)Total (n=158 KYH*) (n=493 Tromsø 7)N(%)N(%)N(%)N(%)Self-report ever diagnosedKYH2(6.9)14(24.1)41(57.8)P<0.00157(36.1)Tromsø 711(4.6)39(21.2)33(48.5)P<0.00183(16.8)Age and sex adjusted OR Tromsø 7/KYH (95% CI)0.48(0.09, 2.44)0.70(0.34, 1.45)0.59(0.29, 1.20)0.29(0.19, 0.44)Currently smokesKYH men6(33.3)15(53.6)28(75.7)P=0.00349(59.0)Tromsø 7 men19(17.3)30(38.0)24(57.1)P<0.00173(31.6)Age adjusted OR Tromsø 7/KYH0.43(0.13, 1.38)0.54(0.22, 1.36)0.41(0.14, 1.23)0.30(0.18, 0.51)KYH women2(18.2)9(30.0)15(44.1)P=0.0326(34.7)Tromsø 7 women33(24.6)36(30.8)17(50.0)P=0.00886(30.2)Age adjusted OR Tromsø 7/KYH1.00(0.19, 5.26)1.13(0.45, 2.85)1.71(0.52, 5.59)0.87(0.50, 1.51)Maintenance treatmentaKYH1(3.7)4(7.3)9(12.9)P=0.1214(9.2)Tromsø 717(6.9)31(15.8)28(36.8)P<0.00176(14.7)Age and sex adjusted OR Tromsø 7/KYH1.52(0.18, 12.77)2.46(0.80, 7.56)3.80(1.50, 9.63)1.56(0.85, 2.88)Short acting symptomatic treatmentbKYH0(0.0)2(3.6)5(7.1)P=0.127(4.6)Tromsø 76(2.4)17(8.7)15(19.7)P<0.00138(7.3)Age and sex adjusted OR Tromsø 7/KYH-3.18(0.68, 14.88)4.49(1.19, 16.97)1.72(0.74, 3.98)Notes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04. Awareness and Management by Study and Level of Self-Reported Respiratory Symptoms in Those with Obstructive Lung Function. Know Your Heart Study 2015–2018 and Tromsø Study 2015–2016 Notes: *Data on medication use missing in Know Your Heart for 6 participants with obstructive lung disease (1 participant with symptoms). aATC codes R03BB, A03AC12, 13, 18, 19, R03AK, R03AL, R03DA04, R03DX07. bATC codes R03AC02, 03, 04. Awareness of COPD: There was strong evidence that awareness of COPD was lower among the Tromsø 7 participants (age and sex adjusted odds ratio 0.29 (95% CI 0.19, 0.44). However, awareness was strongly related to reporting of respiratory symptoms (Table 5) and on adjustment for respiratory symptoms this association was substantially reduced (OR 0.62 (95% CI 0.38, 1.01). Smoking and Smoking Cessation: After adjusting for age, current smoking among those with obstructive lung function was more common among the KYH participants in men (OR 3.30 95% CI 1.95, 5.61) but similar in KYH/Tromsø 7 participants in women (OR 1.15 95% CI 0.66, 2.01). In both studies, the prevalence of being a current smoker was higher among participants reporting respiratory symptoms (Table 5). Among the KYH participants who had ever smoked the majority of those with obstructive lung disease plus symptoms had been advised to stop smoking by a doctor (62/90 68.9%). However, the proportion of these participants who reported they were offered assistance to stop smoking was much lower (7/90 8%). Pharmacological Management: The prevalence of use of medications for COPD by study and reporting of respiratory symptoms is shown in Table 5. The majority of participants with obstructive lung function were not using medications for management of COPD. The use of medications for maintenance and for symptom relief was higher in those reporting respiratory symptoms in Tromsø 7 (test for trend p<0.001) but there was only weak evidence for an association between medication use and symptoms in KYH (test for trend p=0.12) although the numbers reporting any medication use were extremely low limiting power to detect any association. While there was no evidence for a difference in medication use between studies after adjusting for age and sex (Table 5), after additional adjustment for the level of reported symptoms there was strong evidence that the odds of receiving maintenance therapy (OR 2.90 95% CI 1.48, 5.70) and short-acting treatments (OR 3.56 95% CI 1.43, 8.87) for symptoms relief were higher for participants in Tromsø 7. Impact of Missing Data on Spirometry Testing: The characteristics of those who did and did not complete the spirometry examination in both studies are shown in Supplementary Table 3. The factors associated with completing spirometry differed between the two studies. In KYH the main factor associated with spirometry was age with good evidence that those with spirometry were younger than all participants attending the health check. There was also weak evidence those with spirometry were more highly educated, had lower BMI and reported less breathlessness. In Tromsø 7, there were substantial differences in age between those with and without spirometry but in contrast to KYH those with spirometry data were older in keeping with additional inclusion of those who attended previous examinations in the sample selection. There was also evidence that those with spirometry were more likely to be women, have lower levels of education, be ex-smokers, have lower BMI, and less likely to report existing CVD. The prevalence of obstructive lung disease estimated in sensitivity analyses using multiple imputation by age and sex is shown in Supplementary Figures 2A and B. The substantive findings were not different using multiple imputation to complete case analysis. Discussion: In this study comparing prevalence of obstructive lung function between participants aged 40–69 years taking part in population-based studies in Russia and Norway we found no evidence for a difference in obstructive lung function in men, but higher prevalence of obstructive lung function in the Norwegian compared to Russian women, which was explained by differences in smoking history. In contrast, the prevalence of COPD defined as both obstructive lung function and respiratory symptoms was higher among both men and women in the Russian study. There was a strikingly high prevalence of respiratory symptoms among Russian participants both among those who had an obstructive lung function pattern on spirometry but also in participants without obstructive lung function, reflecting very different patterns of symptom reporting in the two populations. The age-standardized prevalence of obstructive lung function (pre-bronchodilator) among the Russian participants was 11.0% using the GLI-LLN normal definition in men and 6.8% in women. This is higher than the findings from pre-bronchodilator spirometry tests reported by Andreeva et al in the RESPECT study in North-West Russia (9.6% in men 4.8% in women)13 and the Ural (5.8% total population).15 The findings among the Tromsø Study participants were also higher than estimates from the HUNT study from central Norway in 2006–2008 (7.3%).19 Prevalences using a fixed cut point rather than LLN were more similar to a previous study from Novosibirsk from 2002–5 which found 19.5% (23.5% in men and 16.0% in women) using a broader definition of airway obstruction on spirometry (FEV1/FVC ratio <0.7 or FEV1,<80%).14 In this study, we did not find any evidence for a difference in the prevalence of obstructive lung function between men in the Russian and Norwegian studies. This is surprising given historically very high smoking prevalence among Russian men.7 Despite recent declines in smoking in Russia,28 we did find here that the prevalence of current smoking and pack-year history was higher among the Russian than the Norwegian men. However, there was also a high prevalence of ex-smokers in the Norwegian sample therefore the current lung function damage in this sample could be attributable to higher levels of smoking in Norway in the past. There was no statistical evidence for a higher burden of airway obstruction in the Russian men, although the actual prevalence was slightly higher in the older ages group (60–69 years). The lower than anticipated estimates of obstructive lung function in Russian men found here and in previous studies are difficult to interpret but given the very high premature CVD mortality in Russian men in this age range, differential survival may play a role. There was no evidence for an association with COPD and self-report of MI or stroke in this study in keeping with this, however it is important to note our measure was based on self-reported disease only which could have been affected by measurement error, there was a small number of cases and we did not include a detailed investigation of the relationships with all CVD outcomes. The high burden of CVD mortality in Russia makes investigation of cardiovascular and respiratory co-morbidity in this population an important area to investigate in more depth. Prospective studies to investigate the incidence of COPD are also needed. In contrast to findings from spirometry testing, there were striking differences between the Russian and Norwegian participants with regards to reporting of symptoms. The high burden of respiratory symptoms in the Russian study population is important given increasing evidence that respiratory symptoms among smokers are associated with poorer outcomes including a higher rate of respiratory infections, impaired exercise capacity, airway thickening, and poorer quality of life even in the absence of obstructive lung function on spirometry.29,30 In a prospective study of 596 smokers and former smokers aged 70–79 years mortality was similar in those with dyspnoea but no obstructive lung function compared to those with obstructive lung function without dyspnoea.31 Several previous studies have found the prevalence of reported respiratory symptoms is very high in Russia consistent with the levels of breathlessness and chronic cough found here.10–13 Only two of these studies also included findings from spirometry. In the study by Chuchalin et al spirometry was only conducted in those who reported either respiratory symptoms or risk factors, of whom 21.8% also had airway obstruction.11 Andreeva et al reported on data from both lung function testing and respiratory symptoms and found that the positive predictive value of respiratory symptoms for identifying obstructive lung function was low (8%)13 which was similar to findings in this study in both Russian (10%) and Norwegian participants (14%). Here we also found a high prevalence of respiratory symptoms in the Russian study population in those without obstructive lung function suggesting there are other explanations aside from COPD per se for high burden of respiratory symptoms found here and in previous studies in Russia. The symptoms considered here (cough and breathlessness) are non-specific and may be caused by many factors including both other respiratory diseases (for instance lower respiratory tract infection was the 6th and tuberculosis the 18th leading cause of death in Russia in 20161) and non-respiratory causes. For example, the differences in levels of breathlessness in the population may be related to anxiety, physical fitness, levels of obesity or other co-morbidities in particular heart failure. Differences in air pollution may also play an important role as well as possible cultural differences in the interpretation or perception of symptoms. The lower levels of use of medications found here among the Russian participants with obstructive lung function could also be a factor with differences in management influencing levels of symptom control. Due to the cross-sectional nature of the data, we could not investigate this hypothesis here due to strong possibility of confounding by indication (those with symptoms were more likely to receive medication due to increased need). The presence of respiratory symptoms in those with obstructive lung function was important when comparing awareness and management of COPD between the two studies. Among those with obstructive lung disease, respiratory symptoms were associated in a dose-response manner with higher awareness of disease, smoking and among the Norwegian participants the use of medications for management of COPD. The relatively large asymptomatic group of Norwegian participants with obstructive lung disease as defined by spirometry were less likely to report a diagnosis or any pharmacological treatment. However, higher levels of awareness among the Russian participants did not translate into correspondingly better pharmacological management as levels of pharmacological treatment were low while many participants continued to smoke. Smoking cessation is a key part of the management of COPD. The prevalence of smoking in those with obstructive lung function was particularly high in the Russian men (59% current smokers) compared to approximately 30% in the Norwegian participants and Russian women. In the KYH study, some additional questions about smoking cessation were asked to smokers. While the majority of the Russian participants who had both obstructive lung function and respiratory symptoms had been advised by a doctor to stop smoking, only 8% of this high-risk group reported they had been offered assistance to stop. Increasing the availability of smoking cessation treatments could have a substantial benefit in reducing the burden from COPD and other smoking-related disease. This study has several limitations which should be considered on interpreting the findings: First, here we have estimated prevalence of obstructive lung function (with respiratory symptoms) in participants in population-based studies. It is likely the findings may have been affected by selection bias. While we investigated the potential impact on the findings of using a sub-set of participants and found no evidence that this had a substantial impact of the prevalence of obstructive lung disease, there may still be bias in the extent to which participants are representative of their respective populations. The proportion of invited participants who took part in the studies overall was 22% for Novosibirsk, 60% for Arkhangelsk21 and 65% for Tromsø 7.32 It is plausible attendance was differential by lung function status, as those with very severe respiratory disease may be less likely to take part. Any selection bias will have affected the prevalence estimates reported here and these should be interpreted with caution. Furthermore, the studies took place in two cities in Russia and one municipality in Norway, therefore prevalence estimates may not be generalizable to the whole of both countries. However, comparisons of use of COPD medication as maintenance treatment within the Norwegian Prescription Database (NorPD) show that use in the Troms and Finnmark county was very close to Norway as a whole in 2016.33 Secondly, in both studies only pre-bronchodilator spirometry was conducted while for a diagnosis of COPD spirometry should also be conducted post-bronchodilator in order to demonstrate irreversible airflow limitation, therefore some participants with reversible airflow limitation may have been misclassified. Sputum production was also not assessed in either study. The two studies used different spirometry devices which may have limited the comparability of the results although protocols for data collection were similar and procedures for quality control were harmonised. The questions on chronic cough were also not identical although the questions on breathlessness in both studies were measured using the same standardized tool. Translation of the questions on breathlessness to Russian and Norwegian were cross-checked by a speaker of both languages and found to be consistent in meaning. While measurement error due to differences in how questions on respiratory symptoms were asked is possible it does not seem sufficient to account for the huge differences in reporting of symptoms observed in this study. However, cultural differences in the perception of symptoms for example understanding of the concept of breathlessness may play a role in accounting for the large population level differences observed in this study. Finally, we were restricted in assessing management to pharmacological management and have not been able to compare other non-pharmacological aspects of COPD management such as participation in pulmonary rehabilitation programmes. In conclusion, we have found that the burden of obstructive lung disease on spirometry was similar in participants taking part in population-based studies in Norway and Russia but there was a strikingly high burden of respiratory symptoms among the Russian participants. Further work is needed to understand the reasons and implications for health of this high prevalence of chronic cough and breathlessness. The contribution of cardiovascular disease, in particularly heart failure, here as well as further understanding of the burden of respiratory and cardiovascular co-morbidity are important areas to investigate. There were low levels of smoking cessation and use of medications in both study populations in participants identified with COPD indicating management of COPD could be improved in both countries.
Background: Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality worldwide. Despite a high prevalence of smoking and respiratory symptoms, two recent population-based studies in Russia found a relatively low prevalence of obstructive lung function. Here, we investigated the prevalence of both obstructive lung disease and respiratory symptoms in a population-based study conducted in two Russian cities and compared the findings with a similar study from Norway conducted in the same time period. Methods: The study population was a sub-sample of participants aged 40-69 years participating in the Know Your Heart (KYH) study in Russia in 2015-18 (n=1883) and in the 7th survey of the Tromsø Study (n=5271) carried out in Norway in 2015-16 (Tromsø 7) who participated in spirometry examinations. The main outcome was obstructive lung function (FEV1/FVC ratio< lower limit of normal on pre-bronchodilator spirometry examination) with and without respiratory symptoms (chronic cough and breathlessness). In those with obstructive lung function, awareness (known diagnosis) and management (use of medications, smoking cessation) were compared. Results: The age-standardized prevalence of obstructive lung function was similar among men in both studies (KYH 11.0% vs Tromsø 7 9.8%, p=0.21) and higher in the Norwegian (9.4%) than Russian (6.8%) women (p=0.006). In contrast, the prevalence of obstructive lung function plus respiratory symptoms was higher in Russian men (KYH 8.3% vs Tromsø 7 4.7%, p<0.001) but similar in women (KYH 5.9% vs Tromsø 7 6.4%, p=0.18). There was a much higher prevalence of respiratory symptoms in Russian than Norwegian participants of both sexes regardless of presence of obstructive lung function. Conclusions: The prevalence of respiratory symptoms was strikingly high among Russian participants but this was not explained by a higher burden of obstructive lung function on spirometry testing in comparison with Norwegian participants. Further work is needed to understand the reasons and health implications of this high prevalence of cough and breathlessness.
Introduction: Despite recent declines, premature mortality remains a major public health concern in Russia.1 Respiratory diseases contribute substantially with Chronic Obstructive Pulmonary Disease (COPD) estimated as the 14th leading cause of death in Russia in 2016 while respiratory infection was the 6th leading cause of death.1 COPD is strongly related to cardiovascular disease (CVD)2,3 and in many patients with COPD cardiovascular disease is the underlying cause of death.4–6 In Russia, there is a high prevalence of smoking in men,7 which is a major risk factor for COPD. Occupational exposure to vapours, dust and fumes may also lead to increased risk among certain groups.8 It is important to quantify and understand the burden of COPD within Russia, particularly in a country with one of the highest rates of CVD mortality in the world.9 Four population-based surveys have found high levels of reporting of respiratory symptoms in the Russian general population10–13 but only two of these studies also included spirometry testing.11,13 In a cross-sectional survey of 7164 adults aged 18 or older living in 12 regions of Russia (2010–2011), spirometry was used to diagnose COPD among those who reported any respiratory symptoms or risk factors for chronic respiratory disease11. Chuchalin et al11 extrapolated results from spirometry testing in this study to estimate that the prevalence of symptomatic COPD (symptoms plus forced expiratory volume in 1 second (FEV1): Forced vital capacity (FVC) ratio<0.7) in the total study population was 15.3%. Estimates of airway obstruction from the earlier HAPIEE study (2002–2005) from 6875 men and women aged 45–69 years old in the city of Novosibirsk were even higher at 19.5% (23.5% in men and 16.0% in women) using a broader definition of airway obstruction on spirometry (FEV1/FVC ratio <0.7 or FEV1,<80%).14 However, a study of 2975 adults aged 35–70 living in North West Russia (2012–13) found a substantially lower prevalence of airway obstruction of 6.8% using a fixed FEV1:FVC ratio<0.7 and 4.8% using the Global Lung Initiative Lower Limit of Normal (GLI-LLN) cut off with a substantial sex difference (higher in men (9.6%) than women (4.8%)).13 This was consistent with estimates from pre-bronchodilator spirometry from a later study of 5899 adults aged 40–94 in the Russian region of Bashkortostan which found a prevalence of airway obstruction using LLN of 5.8% (6.8% using fixed cut point).15 These prevalence estimates are lower than might be expected given the high burden of smoking7 and self-reported respiratory symptoms10–13 in the Russian general population. In quantifying the prevalence and relative disease burden from COPD in Russia findings need to be compared in context with studies from other populations. However, making comparisons between population-based studies is complex. Estimated prevalence of COPD can vary widely depending on the criteria used for case definition.16,17 Prevalence of COPD in Norway, a neighbouring country to Russia with a different mortality and risk factor profile, shows considerable variation. Estimates from the BOLD study site in Bergen (2006) which used spirometry only found the prevalence was 11% using postbronchodilator fixed cut point among adults aged 52–60.18 Findings from the population-based HUNT-3 study in the county of Nord-Trøndelag (2006–2008) found a prevalence of 14.5% using a fixed cut point and 7.3% from LLN in adults aged over 40 on pre-bronchodilator spirometric assessment.19 Analyses of changes in COPD prevalence over time within the Tromsø Study in the municipality of Tromsø have shown COPD prevalences have been declining since 2001 in line with declines in smoking, with the most recent estimates from 2015–2016 of 9.7% in men and 10.0% in women aged 40–84 using LLN and 5.6% in both sexes when including respiratory symptoms within the definition.20 However, to compare estimated COPD prevalence from Russia with studies from other settings is difficult given differences in age range, COPD definition and time frames. Here we investigated prevalence of both obstructive lung disease and respiratory symptoms in a population-based study conducted in two Russian cities and compared the findings with a similar study from Norway conducted in the same time period using the same definitions of COPD for both studies. Among those with evidence of COPD, we compared levels of awareness and management (smoking cessation, use of pharmacological treatments) between the study populations. Discussion: In this study comparing prevalence of obstructive lung function between participants aged 40–69 years taking part in population-based studies in Russia and Norway we found no evidence for a difference in obstructive lung function in men, but higher prevalence of obstructive lung function in the Norwegian compared to Russian women, which was explained by differences in smoking history. In contrast, the prevalence of COPD defined as both obstructive lung function and respiratory symptoms was higher among both men and women in the Russian study. There was a strikingly high prevalence of respiratory symptoms among Russian participants both among those who had an obstructive lung function pattern on spirometry but also in participants without obstructive lung function, reflecting very different patterns of symptom reporting in the two populations. The age-standardized prevalence of obstructive lung function (pre-bronchodilator) among the Russian participants was 11.0% using the GLI-LLN normal definition in men and 6.8% in women. This is higher than the findings from pre-bronchodilator spirometry tests reported by Andreeva et al in the RESPECT study in North-West Russia (9.6% in men 4.8% in women)13 and the Ural (5.8% total population).15 The findings among the Tromsø Study participants were also higher than estimates from the HUNT study from central Norway in 2006–2008 (7.3%).19 Prevalences using a fixed cut point rather than LLN were more similar to a previous study from Novosibirsk from 2002–5 which found 19.5% (23.5% in men and 16.0% in women) using a broader definition of airway obstruction on spirometry (FEV1/FVC ratio <0.7 or FEV1,<80%).14 In this study, we did not find any evidence for a difference in the prevalence of obstructive lung function between men in the Russian and Norwegian studies. This is surprising given historically very high smoking prevalence among Russian men.7 Despite recent declines in smoking in Russia,28 we did find here that the prevalence of current smoking and pack-year history was higher among the Russian than the Norwegian men. However, there was also a high prevalence of ex-smokers in the Norwegian sample therefore the current lung function damage in this sample could be attributable to higher levels of smoking in Norway in the past. There was no statistical evidence for a higher burden of airway obstruction in the Russian men, although the actual prevalence was slightly higher in the older ages group (60–69 years). The lower than anticipated estimates of obstructive lung function in Russian men found here and in previous studies are difficult to interpret but given the very high premature CVD mortality in Russian men in this age range, differential survival may play a role. There was no evidence for an association with COPD and self-report of MI or stroke in this study in keeping with this, however it is important to note our measure was based on self-reported disease only which could have been affected by measurement error, there was a small number of cases and we did not include a detailed investigation of the relationships with all CVD outcomes. The high burden of CVD mortality in Russia makes investigation of cardiovascular and respiratory co-morbidity in this population an important area to investigate in more depth. Prospective studies to investigate the incidence of COPD are also needed. In contrast to findings from spirometry testing, there were striking differences between the Russian and Norwegian participants with regards to reporting of symptoms. The high burden of respiratory symptoms in the Russian study population is important given increasing evidence that respiratory symptoms among smokers are associated with poorer outcomes including a higher rate of respiratory infections, impaired exercise capacity, airway thickening, and poorer quality of life even in the absence of obstructive lung function on spirometry.29,30 In a prospective study of 596 smokers and former smokers aged 70–79 years mortality was similar in those with dyspnoea but no obstructive lung function compared to those with obstructive lung function without dyspnoea.31 Several previous studies have found the prevalence of reported respiratory symptoms is very high in Russia consistent with the levels of breathlessness and chronic cough found here.10–13 Only two of these studies also included findings from spirometry. In the study by Chuchalin et al spirometry was only conducted in those who reported either respiratory symptoms or risk factors, of whom 21.8% also had airway obstruction.11 Andreeva et al reported on data from both lung function testing and respiratory symptoms and found that the positive predictive value of respiratory symptoms for identifying obstructive lung function was low (8%)13 which was similar to findings in this study in both Russian (10%) and Norwegian participants (14%). Here we also found a high prevalence of respiratory symptoms in the Russian study population in those without obstructive lung function suggesting there are other explanations aside from COPD per se for high burden of respiratory symptoms found here and in previous studies in Russia. The symptoms considered here (cough and breathlessness) are non-specific and may be caused by many factors including both other respiratory diseases (for instance lower respiratory tract infection was the 6th and tuberculosis the 18th leading cause of death in Russia in 20161) and non-respiratory causes. For example, the differences in levels of breathlessness in the population may be related to anxiety, physical fitness, levels of obesity or other co-morbidities in particular heart failure. Differences in air pollution may also play an important role as well as possible cultural differences in the interpretation or perception of symptoms. The lower levels of use of medications found here among the Russian participants with obstructive lung function could also be a factor with differences in management influencing levels of symptom control. Due to the cross-sectional nature of the data, we could not investigate this hypothesis here due to strong possibility of confounding by indication (those with symptoms were more likely to receive medication due to increased need). The presence of respiratory symptoms in those with obstructive lung function was important when comparing awareness and management of COPD between the two studies. Among those with obstructive lung disease, respiratory symptoms were associated in a dose-response manner with higher awareness of disease, smoking and among the Norwegian participants the use of medications for management of COPD. The relatively large asymptomatic group of Norwegian participants with obstructive lung disease as defined by spirometry were less likely to report a diagnosis or any pharmacological treatment. However, higher levels of awareness among the Russian participants did not translate into correspondingly better pharmacological management as levels of pharmacological treatment were low while many participants continued to smoke. Smoking cessation is a key part of the management of COPD. The prevalence of smoking in those with obstructive lung function was particularly high in the Russian men (59% current smokers) compared to approximately 30% in the Norwegian participants and Russian women. In the KYH study, some additional questions about smoking cessation were asked to smokers. While the majority of the Russian participants who had both obstructive lung function and respiratory symptoms had been advised by a doctor to stop smoking, only 8% of this high-risk group reported they had been offered assistance to stop. Increasing the availability of smoking cessation treatments could have a substantial benefit in reducing the burden from COPD and other smoking-related disease. This study has several limitations which should be considered on interpreting the findings: First, here we have estimated prevalence of obstructive lung function (with respiratory symptoms) in participants in population-based studies. It is likely the findings may have been affected by selection bias. While we investigated the potential impact on the findings of using a sub-set of participants and found no evidence that this had a substantial impact of the prevalence of obstructive lung disease, there may still be bias in the extent to which participants are representative of their respective populations. The proportion of invited participants who took part in the studies overall was 22% for Novosibirsk, 60% for Arkhangelsk21 and 65% for Tromsø 7.32 It is plausible attendance was differential by lung function status, as those with very severe respiratory disease may be less likely to take part. Any selection bias will have affected the prevalence estimates reported here and these should be interpreted with caution. Furthermore, the studies took place in two cities in Russia and one municipality in Norway, therefore prevalence estimates may not be generalizable to the whole of both countries. However, comparisons of use of COPD medication as maintenance treatment within the Norwegian Prescription Database (NorPD) show that use in the Troms and Finnmark county was very close to Norway as a whole in 2016.33 Secondly, in both studies only pre-bronchodilator spirometry was conducted while for a diagnosis of COPD spirometry should also be conducted post-bronchodilator in order to demonstrate irreversible airflow limitation, therefore some participants with reversible airflow limitation may have been misclassified. Sputum production was also not assessed in either study. The two studies used different spirometry devices which may have limited the comparability of the results although protocols for data collection were similar and procedures for quality control were harmonised. The questions on chronic cough were also not identical although the questions on breathlessness in both studies were measured using the same standardized tool. Translation of the questions on breathlessness to Russian and Norwegian were cross-checked by a speaker of both languages and found to be consistent in meaning. While measurement error due to differences in how questions on respiratory symptoms were asked is possible it does not seem sufficient to account for the huge differences in reporting of symptoms observed in this study. However, cultural differences in the perception of symptoms for example understanding of the concept of breathlessness may play a role in accounting for the large population level differences observed in this study. Finally, we were restricted in assessing management to pharmacological management and have not been able to compare other non-pharmacological aspects of COPD management such as participation in pulmonary rehabilitation programmes. In conclusion, we have found that the burden of obstructive lung disease on spirometry was similar in participants taking part in population-based studies in Norway and Russia but there was a strikingly high burden of respiratory symptoms among the Russian participants. Further work is needed to understand the reasons and implications for health of this high prevalence of chronic cough and breathlessness. The contribution of cardiovascular disease, in particularly heart failure, here as well as further understanding of the burden of respiratory and cardiovascular co-morbidity are important areas to investigate. There were low levels of smoking cessation and use of medications in both study populations in participants identified with COPD indicating management of COPD could be improved in both countries.
Background: Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality worldwide. Despite a high prevalence of smoking and respiratory symptoms, two recent population-based studies in Russia found a relatively low prevalence of obstructive lung function. Here, we investigated the prevalence of both obstructive lung disease and respiratory symptoms in a population-based study conducted in two Russian cities and compared the findings with a similar study from Norway conducted in the same time period. Methods: The study population was a sub-sample of participants aged 40-69 years participating in the Know Your Heart (KYH) study in Russia in 2015-18 (n=1883) and in the 7th survey of the Tromsø Study (n=5271) carried out in Norway in 2015-16 (Tromsø 7) who participated in spirometry examinations. The main outcome was obstructive lung function (FEV1/FVC ratio< lower limit of normal on pre-bronchodilator spirometry examination) with and without respiratory symptoms (chronic cough and breathlessness). In those with obstructive lung function, awareness (known diagnosis) and management (use of medications, smoking cessation) were compared. Results: The age-standardized prevalence of obstructive lung function was similar among men in both studies (KYH 11.0% vs Tromsø 7 9.8%, p=0.21) and higher in the Norwegian (9.4%) than Russian (6.8%) women (p=0.006). In contrast, the prevalence of obstructive lung function plus respiratory symptoms was higher in Russian men (KYH 8.3% vs Tromsø 7 4.7%, p<0.001) but similar in women (KYH 5.9% vs Tromsø 7 6.4%, p=0.18). There was a much higher prevalence of respiratory symptoms in Russian than Norwegian participants of both sexes regardless of presence of obstructive lung function. Conclusions: The prevalence of respiratory symptoms was strikingly high among Russian participants but this was not explained by a higher burden of obstructive lung function on spirometry testing in comparison with Norwegian participants. Further work is needed to understand the reasons and health implications of this high prevalence of cough and breathlessness.
17,325
399
[ 4180, 117, 304, 100, 231, 338, 196, 86, 257, 290, 142, 5568, 416, 1209, 400, 70, 135, 183, 204, 1951 ]
21
[ "study", "age", "lung", "symptoms", "obstructive", "obstructive lung", "tromsø", "respiratory", "participants", "sex" ]
[ "russia different mortality", "respiratory symptoms russian", "health concern russia", "copd russia findings", "smoking prevalence russian" ]
null
null
[CONTENT] COPD | Russian Federation | Norway | respiratory symptoms [SUMMARY]
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null
[CONTENT] COPD | Russian Federation | Norway | respiratory symptoms [SUMMARY]
[CONTENT] COPD | Russian Federation | Norway | respiratory symptoms [SUMMARY]
[CONTENT] COPD | Russian Federation | Norway | respiratory symptoms [SUMMARY]
[CONTENT] Cross-Sectional Studies | Female | Forced Expiratory Volume | Humans | Male | Norway | Prevalence | Pulmonary Disease, Chronic Obstructive | Risk Factors | Russia | Spirometry [SUMMARY]
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[CONTENT] Cross-Sectional Studies | Female | Forced Expiratory Volume | Humans | Male | Norway | Prevalence | Pulmonary Disease, Chronic Obstructive | Risk Factors | Russia | Spirometry [SUMMARY]
[CONTENT] Cross-Sectional Studies | Female | Forced Expiratory Volume | Humans | Male | Norway | Prevalence | Pulmonary Disease, Chronic Obstructive | Risk Factors | Russia | Spirometry [SUMMARY]
[CONTENT] Cross-Sectional Studies | Female | Forced Expiratory Volume | Humans | Male | Norway | Prevalence | Pulmonary Disease, Chronic Obstructive | Risk Factors | Russia | Spirometry [SUMMARY]
[CONTENT] russia different mortality | respiratory symptoms russian | health concern russia | copd russia findings | smoking prevalence russian [SUMMARY]
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[CONTENT] russia different mortality | respiratory symptoms russian | health concern russia | copd russia findings | smoking prevalence russian [SUMMARY]
[CONTENT] russia different mortality | respiratory symptoms russian | health concern russia | copd russia findings | smoking prevalence russian [SUMMARY]
[CONTENT] russia different mortality | respiratory symptoms russian | health concern russia | copd russia findings | smoking prevalence russian [SUMMARY]
[CONTENT] study | age | lung | symptoms | obstructive | obstructive lung | tromsø | respiratory | participants | sex [SUMMARY]
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[CONTENT] study | age | lung | symptoms | obstructive | obstructive lung | tromsø | respiratory | participants | sex [SUMMARY]
[CONTENT] study | age | lung | symptoms | obstructive | obstructive lung | tromsø | respiratory | participants | sex [SUMMARY]
[CONTENT] study | age | lung | symptoms | obstructive | obstructive lung | tromsø | respiratory | participants | sex [SUMMARY]
[CONTENT] copd | russia | prevalence | adults aged | adults | study | aged | estimates | population | cut [SUMMARY]
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[CONTENT] russian | obstructive | obstructive lung | lung | high | function | lung function | obstructive lung function | symptoms | respiratory [SUMMARY]
[CONTENT] symptoms | study | participants | spirometry | obstructive | lung | obstructive lung | age | tromsø | respiratory [SUMMARY]
[CONTENT] symptoms | study | participants | spirometry | obstructive | lung | obstructive lung | age | tromsø | respiratory [SUMMARY]
[CONTENT] ||| two | Russia ||| two | Russian | Norway [SUMMARY]
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[CONTENT] Russian | Norwegian ||| [SUMMARY]
[CONTENT] ||| two | Russia ||| two | Russian | Norway ||| 40-69 years | the Know Your Heart | KYH | Russia | 2015-18 | 7th | the Tromsø Study (n=5271 | Norway | 2015-16 ||| ||| ||| ||| KYH | 11.0% | Tromsø 7 9.8% | Norwegian | 9.4% | Russian | 6.8% ||| Russian | KYH | 8.3% | Tromsø 7 | 4.7% | KYH | 5.9% | Tromsø 7 | 6.4% ||| Russian | Norwegian ||| Russian | Norwegian ||| [SUMMARY]
[CONTENT] ||| two | Russia ||| two | Russian | Norway ||| 40-69 years | the Know Your Heart | KYH | Russia | 2015-18 | 7th | the Tromsø Study (n=5271 | Norway | 2015-16 ||| ||| ||| ||| KYH | 11.0% | Tromsø 7 9.8% | Norwegian | 9.4% | Russian | 6.8% ||| Russian | KYH | 8.3% | Tromsø 7 | 4.7% | KYH | 5.9% | Tromsø 7 | 6.4% ||| Russian | Norwegian ||| Russian | Norwegian ||| [SUMMARY]
Novel abdominal negative pressure lavage-drainage system for anastomotic leakage after R0 resection for gastric cancer.
30670914
Anastomotic leakage (AL) is a severe complication associated with high morbidity and mortality after radical gastrectomy (RG) for gastric cancer (GC). We hypothesized that a novel abdominal negative pressure lavage-drainage system (ANPLDS) can effectively reduce the failure-to-rescue (FTR) and the risk of reoperation, and it is a feasible management for AL.
BACKGROUND
The study enrolled 4173 patients who underwent R0 resection for GC at our institution between June 2009 and December 2016. ANPLDS was routinely used for patients with AL after January 2014. Characterization of patients who underwent R0 resection was compared between different study periods. AL rates and postoperative outcome among patients with AL were compared before and after the ANPLDS therapy. We used multivariate analyses to evaluate clinicopathological and perioperative factors for associations with AL and FTR after AL.
METHODS
AL occurred in 83 (83/4173, 2%) patients, leading to 7 deaths. The mean time of occurrence of AL was 5.6 days. The AL rate was similar before (2009-2013, period 1) and after (2014-2016, period 2) the implementation of the ANPLDS therapy (1.7% vs 2.3%, P = 0.121). Age and malnourishment were independently associated with AL. The FTR rate and abdominal bleeding rate after AL occurred were respectively 8.4% and 9.6% for the entire period; however, compared with period 1, this significantly decreased during period 2 (16.2% vs 2.2%, P = 0.041; 18.9% vs 2.2%, P = 0.020, respectively). Moreover, the reoperation rate was also reduced in period 2, although this result was not statistically significant (13.5% vs 2.2%, P = 0.084). Additionally, only ANPLDS therapy was an independent protective factor for FTR after AL (P = 0.04).
RESULTS
Our experience demonstrates that ANPLDS is a feasible management for AL after RG for GC.
CONCLUSION
[ "Age Factors", "Aged", "Anastomosis, Surgical", "Anastomotic Leak", "Drainage", "Failure to Rescue, Health Care", "Feasibility Studies", "Female", "Gastrectomy", "Humans", "Laparoscopy", "Male", "Malnutrition", "Middle Aged", "Reoperation", "Retrospective Studies", "Stomach Neoplasms", "Therapeutic Irrigation" ]
6337017
INTRODUCTION
Improvements in surgical techniques and perioperative management have resulted in reduced postoperative mortality after radical gastrectomy (RG) for gastric cancer (GC). However, anastomotic leakage (AL) remains relatively common and represents a major cause of postoperative morbidity after RG for GC. The reported incidence of AL varies between 0% and 15.0%[1], and AL is associated with high mortality[2-4]. For several decades, routine prophylactic placement of abdominal drains has been the standard procedure in abdominal surgery. However, since the introduction of the enhanced recovery after surgery (ERAS) program, routine drain placement after gastrectomy is not warranted anymore, since drains do not reduce postoperative complications after gastrectomy and prolong hospital stay and postoperative recovery[5-7]. Despite these recommendations, prophylactic drainage of the abdominal cavity is still widely performed, because drains are believed to remove intraperitoneal fluids, which can be a source of infection, and drainage fluid might serve as an early warning sign of early complications like AL[7-10]. In January 2014, a novel abdominal negative pressure lavage-drainage system (ANPLDS) was routinely used for patients with AL at our institution. We found that ANPLDS can effectively reduce the failure-to-rescue (FTR) and abdominal bleeding rate after AL, and it is a feasible management for AL. Therefore, in this report, we present our utilization of and experiences with ANPLDS for AL after RG for GC.
MATERIALS AND METHODS
Study population From a prospective database, clinical data of patients who underwent RG for primary gastric adenocarcinoma at Fujian Medical University Union Hospital (FMUUH) between June 2009 and December 2016 were identified. The case exclusion criteria eliminated the following from the study: distant metastasis, neoadjuvant chemotherapy, thoracoabdominal incision, and incomplete clinical and pathologic data. Finally, 4173 patients were included in this study. Laboratory blood test data were collected within 1 wk before surgery, including preoperative hemoglobin (HB) and albumin (ALB) levels. The type of surgical resection and the extent of lymph node dissection were selected according to the Japanese GC treatment guidelines[11]. The 8th edition of the American Joint Committee on Cancer (AJCC) Staging Manual was used to determine the disease stage[12]. This study was approved by the relevant institutional review board. From a prospective database, clinical data of patients who underwent RG for primary gastric adenocarcinoma at Fujian Medical University Union Hospital (FMUUH) between June 2009 and December 2016 were identified. The case exclusion criteria eliminated the following from the study: distant metastasis, neoadjuvant chemotherapy, thoracoabdominal incision, and incomplete clinical and pathologic data. Finally, 4173 patients were included in this study. Laboratory blood test data were collected within 1 wk before surgery, including preoperative hemoglobin (HB) and albumin (ALB) levels. The type of surgical resection and the extent of lymph node dissection were selected according to the Japanese GC treatment guidelines[11]. The 8th edition of the American Joint Committee on Cancer (AJCC) Staging Manual was used to determine the disease stage[12]. This study was approved by the relevant institutional review board. Management of AL AL was defined as a complete intestinal wall defect at the anastomotic suture line that was confirmed via clinical findings, radiologic contrast medium assessment, abdominal computed tomography, a positive color test, or laparoscopic examination[13,14]. AL patients underwent reoperation or interventional therapy if AL led to additional severe complications such as abdominal bleeding, whereas other patients with AL underwent endoscopy or conservative treatment, including fasting, gastrointestinal decompression, drainage, anti-infection therapy, and nutritional support, among other therapeutic measures. During the entire study period, two #28 Penrose drains (Mingchuang Health, Suzhou, Jiangsu Province, China) were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B) (Figure 1). A radiological contrast study was performed at the 4th or 5th postoperative day to assess anastomotic integrity. The drains were subsequently removed 1 or 2 d after starting a soft blended diet. At our institution, ANPLDS therapy (Figure 2) has been a supported first-line treatment for the management of these nonreoperation patients since January 2014. This therapy was started on the day when AL was confirmed and continued until healing of the leak had been confirmed. The healing of the leak was confirmed by the radiological contrast study. For patients with AL, a radiological contrast study was performed once a week. Schematic diagram of the novel abdominal negative pressure lavage-drainage system. During the entire study period, two #28 Penrose drains were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B). In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if anastomotic leakage occurred. ANPLDS: Abdominal negative pressure lavage-drainage system; AL: Anastomotic leakage. The abdominal negative pressure lavage-drainage system therapy for anastomotic leakage after radical gastrectomy. AL was defined as a complete intestinal wall defect at the anastomotic suture line that was confirmed via clinical findings, radiologic contrast medium assessment, abdominal computed tomography, a positive color test, or laparoscopic examination[13,14]. AL patients underwent reoperation or interventional therapy if AL led to additional severe complications such as abdominal bleeding, whereas other patients with AL underwent endoscopy or conservative treatment, including fasting, gastrointestinal decompression, drainage, anti-infection therapy, and nutritional support, among other therapeutic measures. During the entire study period, two #28 Penrose drains (Mingchuang Health, Suzhou, Jiangsu Province, China) were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B) (Figure 1). A radiological contrast study was performed at the 4th or 5th postoperative day to assess anastomotic integrity. The drains were subsequently removed 1 or 2 d after starting a soft blended diet. At our institution, ANPLDS therapy (Figure 2) has been a supported first-line treatment for the management of these nonreoperation patients since January 2014. This therapy was started on the day when AL was confirmed and continued until healing of the leak had been confirmed. The healing of the leak was confirmed by the radiological contrast study. For patients with AL, a radiological contrast study was performed once a week. Schematic diagram of the novel abdominal negative pressure lavage-drainage system. During the entire study period, two #28 Penrose drains were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B). In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if anastomotic leakage occurred. ANPLDS: Abdominal negative pressure lavage-drainage system; AL: Anastomotic leakage. The abdominal negative pressure lavage-drainage system therapy for anastomotic leakage after radical gastrectomy. Design of ANPLDS In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if AL occurred (Figure 1). The inner end of the sputum suction tube was exposed to 0.3-0.5 cm inside tube A (Figure 1), and saline was used for continuous irrigation (150-200 mL/h, 3000 mL/d). The position of tube C was confirmed via X- ray if necessary. Tube A was attached to the drainage bottle (hole a), and a needle was maintained on the outside end of tube A as a blowhole (Figure 1). A suction drain with a negative pressure of 10-20 mmHg was attached to hole b of the drainage bottle (Figure 1). In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if AL occurred (Figure 1). The inner end of the sputum suction tube was exposed to 0.3-0.5 cm inside tube A (Figure 1), and saline was used for continuous irrigation (150-200 mL/h, 3000 mL/d). The position of tube C was confirmed via X- ray if necessary. Tube A was attached to the drainage bottle (hole a), and a needle was maintained on the outside end of tube A as a blowhole (Figure 1). A suction drain with a negative pressure of 10-20 mmHg was attached to hole b of the drainage bottle (Figure 1). Outcome measures The primary outcome of interest was FTR after AL. FTR was defined as mortality after the complication of interest[15,16]. Other postoperative outcomes included other complications, reoperation, and length of stay. The secondary outcomes of interest were clinicopathological and perioperative factors for associations with AL and FTR after AL. In this study, malnourishment was defined by the presence of at least one of the following criteria according to the Guidelines of the European Society for Clinical Nutrition and Metabolism (ESPEN)[17]: weight loss 10%-15% within 6 mo, body mass index (BMI) < 18.5 kg/m2, Subjective Global Assessment Grade C, or serum albumin < 30 g/L. However, patients who only met the criterion of BMI < 18.5 kg/m2 were considered lean but well-nourished[17,18]. The primary outcome of interest was FTR after AL. FTR was defined as mortality after the complication of interest[15,16]. Other postoperative outcomes included other complications, reoperation, and length of stay. The secondary outcomes of interest were clinicopathological and perioperative factors for associations with AL and FTR after AL. In this study, malnourishment was defined by the presence of at least one of the following criteria according to the Guidelines of the European Society for Clinical Nutrition and Metabolism (ESPEN)[17]: weight loss 10%-15% within 6 mo, body mass index (BMI) < 18.5 kg/m2, Subjective Global Assessment Grade C, or serum albumin < 30 g/L. However, patients who only met the criterion of BMI < 18.5 kg/m2 were considered lean but well-nourished[17,18]. Statistical analysis Continuous data are reported as the mean ± standard deviation, and categorical data are presented as the proportion percentage and were analyzed by the Chi square test or Fisher’s exact test. To identify factors that predicted AL and the FTR rate after AL, variables significant in the univariable analysis (P < 0.05) were included in a multivariate analysis. A binary logistic regression with the forward entry method for the covariates was used to perform a multivariate analysis. All tests were two-sided, and a P-value lower than 0.05 was used to define statistical significance. Statistical analyses were performed using SPSS version 18.0 (SPSS Inc., Chicago, IL, United States). Continuous data are reported as the mean ± standard deviation, and categorical data are presented as the proportion percentage and were analyzed by the Chi square test or Fisher’s exact test. To identify factors that predicted AL and the FTR rate after AL, variables significant in the univariable analysis (P < 0.05) were included in a multivariate analysis. A binary logistic regression with the forward entry method for the covariates was used to perform a multivariate analysis. All tests were two-sided, and a P-value lower than 0.05 was used to define statistical significance. Statistical analyses were performed using SPSS version 18.0 (SPSS Inc., Chicago, IL, United States).
null
null
Research conclusions
The successful implementation of the novel ANPLDS at our institution may serve as a model for treating AL after RG for GC at other centers.
[ "INTRODUCTION", "Study population", "Management of AL", "Design of ANPLDS", "Outcome measures", "Statistical analysis", "RESULTS", "Population", "Postoperative morbidity and mortality", "FTR", "DISCUSSION", "ARTICLE HIGHLIGHTS", "Research background", "Research motivation", "Research objectives", "Research methods", "Research results", "Research conclusions" ]
[ "Improvements in surgical techniques and perioperative management have resulted in reduced postoperative mortality after radical gastrectomy (RG) for gastric cancer (GC). However, anastomotic leakage (AL) remains relatively common and represents a major cause of postoperative morbidity after RG for GC. The reported incidence of AL varies between 0% and 15.0%[1], and AL is associated with high mortality[2-4].\nFor several decades, routine prophylactic placement of abdominal drains has been the standard procedure in abdominal surgery. However, since the introduction of the enhanced recovery after surgery (ERAS) program, routine drain placement after gastrectomy is not warranted anymore, since drains do not reduce postoperative complications after gastrectomy and prolong hospital stay and postoperative recovery[5-7]. Despite these recommendations, prophylactic drainage of the abdominal cavity is still widely performed, because drains are believed to remove intraperitoneal fluids, which can be a source of infection, and drainage fluid might serve as an early warning sign of early complications like AL[7-10].\nIn January 2014, a novel abdominal negative pressure lavage-drainage system (ANPLDS) was routinely used for patients with AL at our institution. We found that ANPLDS can effectively reduce the failure-to-rescue (FTR) and abdominal bleeding rate after AL, and it is a feasible management for AL. Therefore, in this report, we present our utilization of and experiences with ANPLDS for AL after RG for GC.", "From a prospective database, clinical data of patients who underwent RG for primary gastric adenocarcinoma at Fujian Medical University Union Hospital (FMUUH) between June 2009 and December 2016 were identified. The case exclusion criteria eliminated the following from the study: distant metastasis, neoadjuvant chemotherapy, thoracoabdominal incision, and incomplete clinical and pathologic data. Finally, 4173 patients were included in this study. Laboratory blood test data were collected within 1 wk before surgery, including preoperative hemoglobin (HB) and albumin (ALB) levels. The type of surgical resection and the extent of lymph node dissection were selected according to the Japanese GC treatment guidelines[11]. The 8th edition of the American Joint Committee on Cancer (AJCC) Staging Manual was used to determine the disease stage[12]. This study was approved by the relevant institutional review board.", "AL was defined as a complete intestinal wall defect at the anastomotic suture line that was confirmed via clinical findings, radiologic contrast medium assessment, abdominal computed tomography, a positive color test, or laparoscopic examination[13,14]. AL patients underwent reoperation or interventional therapy if AL led to additional severe complications such as abdominal bleeding, whereas other patients with AL underwent endoscopy or conservative treatment, including fasting, gastrointestinal decompression, drainage, anti-infection therapy, and nutritional support, among other therapeutic measures. During the entire study period, two #28 Penrose drains (Mingchuang Health, Suzhou, Jiangsu Province, China) were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B) (Figure 1). A radiological contrast study was performed at the 4th or 5th postoperative day to assess anastomotic integrity. The drains were subsequently removed 1 or 2 d after starting a soft blended diet. At our institution, ANPLDS therapy (Figure 2) has been a supported first-line treatment for the management of these nonreoperation patients since January 2014. This therapy was started on the day when AL was confirmed and continued until healing of the leak had been confirmed. The healing of the leak was confirmed by the radiological contrast study. For patients with AL, a radiological contrast study was performed once a week.\nSchematic diagram of the novel abdominal negative pressure lavage-drainage system. During the entire study period, two #28 Penrose drains were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B). In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if anastomotic leakage occurred. ANPLDS: Abdominal negative pressure lavage-drainage system; AL: Anastomotic leakage.\nThe abdominal negative pressure lavage-drainage system therapy for anastomotic leakage after radical gastrectomy.", "In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if AL occurred (Figure 1). The inner end of the sputum suction tube was exposed to 0.3-0.5 cm inside tube A (Figure 1), and saline was used for continuous irrigation (150-200 mL/h, 3000 mL/d). The position of tube C was confirmed via X- ray if necessary. Tube A was attached to the drainage bottle (hole a), and a needle was maintained on the outside end of tube A as a blowhole (Figure 1). A suction drain with a negative pressure of 10-20 mmHg was attached to hole b of the drainage bottle (Figure 1).", "The primary outcome of interest was FTR after AL. FTR was defined as mortality after the complication of interest[15,16]. Other postoperative outcomes included other complications, reoperation, and length of stay. The secondary outcomes of interest were clinicopathological and perioperative factors for associations with AL and FTR after AL. In this study, malnourishment was defined by the presence of at least one of the following criteria according to the Guidelines of the European Society for Clinical Nutrition and Metabolism (ESPEN)[17]: weight loss 10%-15% within 6 mo, body mass index (BMI) < 18.5 kg/m2, Subjective Global Assessment Grade C, or serum albumin < 30 g/L. However, patients who only met the criterion of BMI < 18.5 kg/m2 were considered lean but well-nourished[17,18].", "Continuous data are reported as the mean ± standard deviation, and categorical data are presented as the proportion percentage and were analyzed by the Chi square test or Fisher’s exact test. To identify factors that predicted AL and the FTR rate after AL, variables significant in the univariable analysis (P < 0.05) were included in a multivariate analysis. A binary logistic regression with the forward entry method for the covariates was used to perform a multivariate analysis. All tests were two-sided, and a P-value lower than 0.05 was used to define statistical significance. Statistical analyses were performed using SPSS version 18.0 (SPSS Inc., Chicago, IL, United States).", " Population Between June 2009 and December 2016, a total of 83 patients experienced AL among the 4173 identified patients. Data are compared between 2009 and 2013, which was the period before implementation of the ANPLDS therapy (period 1); as well as between 2014 and 2016, which was after the implementation (period 2). The incidence of AL before and after implementation of the ANPLDS therapy was similar [1.7% (37/2219) vs 2.3% (46/1958), P = 0.121]. Clinicopathological, preoperative, and operative data are reported in Table 1.\nCharacteristics of patients who underwent R0 resection for gastric cancer n (%)\nValues represent the number of patients (percentages), unless otherwise indicated. BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists; AL: Anastomotic leakage.\nBetween June 2009 and December 2016, a total of 83 patients experienced AL among the 4173 identified patients. Data are compared between 2009 and 2013, which was the period before implementation of the ANPLDS therapy (period 1); as well as between 2014 and 2016, which was after the implementation (period 2). The incidence of AL before and after implementation of the ANPLDS therapy was similar [1.7% (37/2219) vs 2.3% (46/1958), P = 0.121]. Clinicopathological, preoperative, and operative data are reported in Table 1.\nCharacteristics of patients who underwent R0 resection for gastric cancer n (%)\nValues represent the number of patients (percentages), unless otherwise indicated. BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists; AL: Anastomotic leakage.\n Postoperative morbidity and mortality AL occurring in 83 patients resulted in 7 deaths. The mean time of occurrence of AL was 5.6 d. The mean length of postoperative stay was 30.2 d. These AL required no invasive treatment in 58 (69.9%) patients, CT-guided puncture drainage in 16 (19.3%) patients, endoscopy in 3 (3.6%) patients, and reoperation in 6 (7.2%) patients. Postoperative morbidity, mortality, and treatment are summarized in Table 2. Compared with period 1, the rates significantly decreased for FTR (16.2% vs 2.2%, P = 0.041) and abdominal bleeding (18.9% vs 2.2%, P = 0.020) in period 2, but the time of AL occurrence and postoperative hospital stay for patients with AL were similar for the two periods (5.4 d vs 5.7 d, P = 0.738; 31.6 d vs 28.4 d, P = 0.458, respectively). Moreover, the reoperation rate was also reduced in period 2, although this result was not statistically significant (13.5% vs 2.2%, P = 0.084).\nPostoperative mortality, morbidity, and treatment modality among patients with anastomotic leakage after radical gastrectomy before (2009-2013) and after (2014-2016) implementation of the abdominal negative pressure lavage-drainage system n (%)\nAL: Anastomotic leakage; ARF&RI: Acute renal failure and renal insufficiency; CT: Computed tomography.\nThe univariate analysis showed that AL were most significantly associated with age ≥ 65, malnourishment, comorbidities, HB < 90 g/dL, and total gastrectomy (Supplemental Table 1). The multivariate analysis showed that the two factors independently associated with major complications were age ≥ 65 and malnourishment (Table 3).\nRisk factors predictive of anastomotic leakage after radical gastrectomy\nHB: Hemoglobin.\nAL occurring in 83 patients resulted in 7 deaths. The mean time of occurrence of AL was 5.6 d. The mean length of postoperative stay was 30.2 d. These AL required no invasive treatment in 58 (69.9%) patients, CT-guided puncture drainage in 16 (19.3%) patients, endoscopy in 3 (3.6%) patients, and reoperation in 6 (7.2%) patients. Postoperative morbidity, mortality, and treatment are summarized in Table 2. Compared with period 1, the rates significantly decreased for FTR (16.2% vs 2.2%, P = 0.041) and abdominal bleeding (18.9% vs 2.2%, P = 0.020) in period 2, but the time of AL occurrence and postoperative hospital stay for patients with AL were similar for the two periods (5.4 d vs 5.7 d, P = 0.738; 31.6 d vs 28.4 d, P = 0.458, respectively). Moreover, the reoperation rate was also reduced in period 2, although this result was not statistically significant (13.5% vs 2.2%, P = 0.084).\nPostoperative mortality, morbidity, and treatment modality among patients with anastomotic leakage after radical gastrectomy before (2009-2013) and after (2014-2016) implementation of the abdominal negative pressure lavage-drainage system n (%)\nAL: Anastomotic leakage; ARF&RI: Acute renal failure and renal insufficiency; CT: Computed tomography.\nThe univariate analysis showed that AL were most significantly associated with age ≥ 65, malnourishment, comorbidities, HB < 90 g/dL, and total gastrectomy (Supplemental Table 1). The multivariate analysis showed that the two factors independently associated with major complications were age ≥ 65 and malnourishment (Table 3).\nRisk factors predictive of anastomotic leakage after radical gastrectomy\nHB: Hemoglobin.\n FTR The FTR rate after AL was 8.4% (7/83) over the whole study period. The univariate analysis showed that the only factor independently associated with the risk of FTR rate after AL was ANPLDS therapy [odds ratio (OR) = 0.103, 95%CI: 0.012-0.898, P = 0.040] (Table 4). The detailed clinical characteristics of the deaths with AL are presented in Supplemental Table 2.\nRisk factors predictive of failure-to-rescue after anastomotic leakage with radical gastrectomy for gastric cancer\nANPLDS: Abdominal negative pressure lavage-drainage system; BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists.\nThe FTR rate after AL was 8.4% (7/83) over the whole study period. The univariate analysis showed that the only factor independently associated with the risk of FTR rate after AL was ANPLDS therapy [odds ratio (OR) = 0.103, 95%CI: 0.012-0.898, P = 0.040] (Table 4). The detailed clinical characteristics of the deaths with AL are presented in Supplemental Table 2.\nRisk factors predictive of failure-to-rescue after anastomotic leakage with radical gastrectomy for gastric cancer\nANPLDS: Abdominal negative pressure lavage-drainage system; BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists.", "Between June 2009 and December 2016, a total of 83 patients experienced AL among the 4173 identified patients. Data are compared between 2009 and 2013, which was the period before implementation of the ANPLDS therapy (period 1); as well as between 2014 and 2016, which was after the implementation (period 2). The incidence of AL before and after implementation of the ANPLDS therapy was similar [1.7% (37/2219) vs 2.3% (46/1958), P = 0.121]. Clinicopathological, preoperative, and operative data are reported in Table 1.\nCharacteristics of patients who underwent R0 resection for gastric cancer n (%)\nValues represent the number of patients (percentages), unless otherwise indicated. BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists; AL: Anastomotic leakage.", "AL occurring in 83 patients resulted in 7 deaths. The mean time of occurrence of AL was 5.6 d. The mean length of postoperative stay was 30.2 d. These AL required no invasive treatment in 58 (69.9%) patients, CT-guided puncture drainage in 16 (19.3%) patients, endoscopy in 3 (3.6%) patients, and reoperation in 6 (7.2%) patients. Postoperative morbidity, mortality, and treatment are summarized in Table 2. Compared with period 1, the rates significantly decreased for FTR (16.2% vs 2.2%, P = 0.041) and abdominal bleeding (18.9% vs 2.2%, P = 0.020) in period 2, but the time of AL occurrence and postoperative hospital stay for patients with AL were similar for the two periods (5.4 d vs 5.7 d, P = 0.738; 31.6 d vs 28.4 d, P = 0.458, respectively). Moreover, the reoperation rate was also reduced in period 2, although this result was not statistically significant (13.5% vs 2.2%, P = 0.084).\nPostoperative mortality, morbidity, and treatment modality among patients with anastomotic leakage after radical gastrectomy before (2009-2013) and after (2014-2016) implementation of the abdominal negative pressure lavage-drainage system n (%)\nAL: Anastomotic leakage; ARF&RI: Acute renal failure and renal insufficiency; CT: Computed tomography.\nThe univariate analysis showed that AL were most significantly associated with age ≥ 65, malnourishment, comorbidities, HB < 90 g/dL, and total gastrectomy (Supplemental Table 1). The multivariate analysis showed that the two factors independently associated with major complications were age ≥ 65 and malnourishment (Table 3).\nRisk factors predictive of anastomotic leakage after radical gastrectomy\nHB: Hemoglobin.", "The FTR rate after AL was 8.4% (7/83) over the whole study period. The univariate analysis showed that the only factor independently associated with the risk of FTR rate after AL was ANPLDS therapy [odds ratio (OR) = 0.103, 95%CI: 0.012-0.898, P = 0.040] (Table 4). The detailed clinical characteristics of the deaths with AL are presented in Supplemental Table 2.\nRisk factors predictive of failure-to-rescue after anastomotic leakage with radical gastrectomy for gastric cancer\nANPLDS: Abdominal negative pressure lavage-drainage system; BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists.", "AL is a common serious complication after gastrectomy in patients with GC. It is also the most important cause of postoperative abdominal infection, abscess, and abdominal bleeding. Improper management of AL may also increase the risk of death, prolong the length of stay, increase the cost of hospitalization, and even affect long-term survival[3,4]. Therefore, it is essential to identify the risk factors for AL and to take effective treatment measures.\nSeveral risk factors have been reported to be associated with AL, such as age, sex, smoking, malnutrition, longer operative time, tumor location, and tumor stage[19-22]. In this study, we found that age ≥ 65 and malnutrition were independent risk factors for AL after RG, which is consistent with previous studies by our center[23]. Elderly or malnourished patients often suffer from poor body conditions and insufficient blood and energy supply in the anastomotic area, which increases the risk of anastomotic fistula. Therefore, clinicians need to pay more attention to these patients and take appropriate measures to prevent postoperative AL, such as preoperative correction of malnutrition, intraoperative protection of perianastomotic tissue, perioperative supplemental oxygen administration[22], and appropriate use of antibiotics. Even with this, AL cannot be completely avoided. Therefore, it is the goal of clinical attention to select reasonable treatment methods and reduce the FTR rate in a situation of AL. However, the choice of treatment measures after the onset of AL is rarely reported.\nWhen AL occurs, the most important treatment is effective and unobstructed drainage. However, traditional drainage techniques to treat AL depend on gravity and pressure in the cavity with AL. In addition, viscous secretions greatly affect drainage and may even clog the drainage tube. Moreover, secretions that fail to discharge in a timely manner can cause abdominal infection or abscess and may also corrode vascular stumps in the local area, resulting in anastomotic or abdominal bleeding.\nFor better drainage, negative pressure-flush is often used clinically. Lin et al[24] found that continuous negative pressure-flush through an extraperitoneal dual tube can increase the successful rate of conservative therapy, decrease the reoperation rate, and improve the quality of life when combined with the use of an intra-rectal dual tube. Jiang et al[25] achieved an early intervention for severe bile leakage and pancreatic fistula after pancreaticoduodenectomy using an enclosed passive infraversion lavage-drainage system (EPILDS). However, the application of negative pressure flush in the treatment of GC gastrointestinal fistula has not been reported. Therefore, we present our utilization of and experiences with ANPLDS for AL after RG for GC in this study. We believe that the key reasons for our success with ANPLDS therapy were the use of local continuous irrigation and negative pressure drainage. First, continuous irrigation dilutes secretions, which is beneficial for the discharge of secretions via the drainage tube. Second, liquid is actively drawn off using negative pressure. The sustained air flow in the tubes makes the pressure in the tube lower than that in the area to be rinsed. Thus, secretions and necrotic tissue can be removed in a timely manner. Therefore, ANPLDS reduces local inflammation and provides a good environment for the closing and healing of an AL-inducing rupture.\nFTR or death after major complications has gained acceptance as an interesting metric evaluation of quality after surgery[26,27]. Although the definition of FTR varies widely in the previous literature, surgeons and researchers agree that the ability to rescue patients from severe postoperative complications, thus preventing mortality, is key to improve the quality and safety of surgery. We found that ANPLDS therapy was the only independent protective factor associated with FTR after AL. Our simple ANPLDS reduced the FTR, primarily due to decreases in reoperation and in the occurrence of severe complications such as abdominal bleeding. It is reasonable to believe that the decline in FTR is a direct external effect of this new treatment, because the FTR rate decreased suddenly after the implementation of ANPLDS. Additionally, our surgical team had performed more than 1000 cases and had sufficiently mastered the RG procedure for GC before the study period. Therefore, the impact of increasing experience on mortality that is expected to be progressive can be ignored. Of course, other factors that cannot be specifically measured in this study, such as the improvement of ICU care or postoperative care practices, may have an impact on FTR, but it does not seem likely to significantly reduce mortality in the short term. Therefore, we believe that this system is a potentially advantageous alternative to the treatment of AL.\nThis study had several limitations. First, it is a single-center retrospective study that needs to be verified by a multi-center, large sample prospective trial. Second, due to the limited number of AL cases, we analyzed all reconstruction methods instead of focusing solely on one type of anastomosis, which may increase the heterogeneity of the patient’s material. However, we first reported the feasible management of AL and the successful implementation of this system at our institution may serve as a model for treating AL at other centers.\nIn conclusion, ANPLDS can effectively reduce the FTR and abdominal bleeding rates after AL. Our experience demonstrates that ANPLDS is a feasible management for AL after RG for GC.", " Research background Anastomotic leakage (AL) remains relatively common and represents a major cause of postoperative morbidity after radical gastrectomy (RG) for gastric cancer (GC). AL is associated with high mortality.\nAnastomotic leakage (AL) remains relatively common and represents a major cause of postoperative morbidity after radical gastrectomy (RG) for gastric cancer (GC). AL is associated with high mortality.\n Research motivation Prophylactic drainage of the abdominal cavity is widely performed. The optimal creation of drainage in AL patients after RG remains controversial.\nProphylactic drainage of the abdominal cavity is widely performed. The optimal creation of drainage in AL patients after RG remains controversial.\n Research objectives The novel abdominal negative pressure lavage-drainage system (ANPLDS) is a feasible management for AL. Therefore, we present our utilization of and experiences with ANPLDS for AL after RG for GC.\nThe novel abdominal negative pressure lavage-drainage system (ANPLDS) is a feasible management for AL. Therefore, we present our utilization of and experiences with ANPLDS for AL after RG for GC.\n Research methods In January 2014, a novel ANPLDS was routinely used for patients with AL at our institution. AL rates and postoperative outcome were compared before and after the ANPLDS therapy.\nIn January 2014, a novel ANPLDS was routinely used for patients with AL at our institution. AL rates and postoperative outcome were compared before and after the ANPLDS therapy.\n Research results The novel ANPLDS can effectively reduce the failure-to-rescue and abdominal bleeding rates after AL.\nThe novel ANPLDS can effectively reduce the failure-to-rescue and abdominal bleeding rates after AL.\n Research conclusions Our experience demonstrates that the novel ANPLDS is a feasible management for AL after RG for GC.\nOur experience demonstrates that the novel ANPLDS is a feasible management for AL after RG for GC.\n Research perspectives The successful implementation of the novel ANPLDS at our institution may serve as a model for treating AL after RG for GC at other centers.\nThe successful implementation of the novel ANPLDS at our institution may serve as a model for treating AL after RG for GC at other centers.", "Anastomotic leakage (AL) remains relatively common and represents a major cause of postoperative morbidity after radical gastrectomy (RG) for gastric cancer (GC). AL is associated with high mortality.", "Prophylactic drainage of the abdominal cavity is widely performed. The optimal creation of drainage in AL patients after RG remains controversial.", "The novel abdominal negative pressure lavage-drainage system (ANPLDS) is a feasible management for AL. Therefore, we present our utilization of and experiences with ANPLDS for AL after RG for GC.", "In January 2014, a novel ANPLDS was routinely used for patients with AL at our institution. AL rates and postoperative outcome were compared before and after the ANPLDS therapy.", "The novel ANPLDS can effectively reduce the failure-to-rescue and abdominal bleeding rates after AL.", "Our experience demonstrates that the novel ANPLDS is a feasible management for AL after RG for GC." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "INTRODUCTION", "MATERIALS AND METHODS", "Study population", "Management of AL", "Design of ANPLDS", "Outcome measures", "Statistical analysis", "RESULTS", "Population", "Postoperative morbidity and mortality", "FTR", "DISCUSSION", "ARTICLE HIGHLIGHTS", "Research background", "Research motivation", "Research objectives", "Research methods", "Research results", "Research conclusions" ]
[ "Improvements in surgical techniques and perioperative management have resulted in reduced postoperative mortality after radical gastrectomy (RG) for gastric cancer (GC). However, anastomotic leakage (AL) remains relatively common and represents a major cause of postoperative morbidity after RG for GC. The reported incidence of AL varies between 0% and 15.0%[1], and AL is associated with high mortality[2-4].\nFor several decades, routine prophylactic placement of abdominal drains has been the standard procedure in abdominal surgery. However, since the introduction of the enhanced recovery after surgery (ERAS) program, routine drain placement after gastrectomy is not warranted anymore, since drains do not reduce postoperative complications after gastrectomy and prolong hospital stay and postoperative recovery[5-7]. Despite these recommendations, prophylactic drainage of the abdominal cavity is still widely performed, because drains are believed to remove intraperitoneal fluids, which can be a source of infection, and drainage fluid might serve as an early warning sign of early complications like AL[7-10].\nIn January 2014, a novel abdominal negative pressure lavage-drainage system (ANPLDS) was routinely used for patients with AL at our institution. We found that ANPLDS can effectively reduce the failure-to-rescue (FTR) and abdominal bleeding rate after AL, and it is a feasible management for AL. Therefore, in this report, we present our utilization of and experiences with ANPLDS for AL after RG for GC.", " Study population From a prospective database, clinical data of patients who underwent RG for primary gastric adenocarcinoma at Fujian Medical University Union Hospital (FMUUH) between June 2009 and December 2016 were identified. The case exclusion criteria eliminated the following from the study: distant metastasis, neoadjuvant chemotherapy, thoracoabdominal incision, and incomplete clinical and pathologic data. Finally, 4173 patients were included in this study. Laboratory blood test data were collected within 1 wk before surgery, including preoperative hemoglobin (HB) and albumin (ALB) levels. The type of surgical resection and the extent of lymph node dissection were selected according to the Japanese GC treatment guidelines[11]. The 8th edition of the American Joint Committee on Cancer (AJCC) Staging Manual was used to determine the disease stage[12]. This study was approved by the relevant institutional review board.\nFrom a prospective database, clinical data of patients who underwent RG for primary gastric adenocarcinoma at Fujian Medical University Union Hospital (FMUUH) between June 2009 and December 2016 were identified. The case exclusion criteria eliminated the following from the study: distant metastasis, neoadjuvant chemotherapy, thoracoabdominal incision, and incomplete clinical and pathologic data. Finally, 4173 patients were included in this study. Laboratory blood test data were collected within 1 wk before surgery, including preoperative hemoglobin (HB) and albumin (ALB) levels. The type of surgical resection and the extent of lymph node dissection were selected according to the Japanese GC treatment guidelines[11]. The 8th edition of the American Joint Committee on Cancer (AJCC) Staging Manual was used to determine the disease stage[12]. This study was approved by the relevant institutional review board.\n Management of AL AL was defined as a complete intestinal wall defect at the anastomotic suture line that was confirmed via clinical findings, radiologic contrast medium assessment, abdominal computed tomography, a positive color test, or laparoscopic examination[13,14]. AL patients underwent reoperation or interventional therapy if AL led to additional severe complications such as abdominal bleeding, whereas other patients with AL underwent endoscopy or conservative treatment, including fasting, gastrointestinal decompression, drainage, anti-infection therapy, and nutritional support, among other therapeutic measures. During the entire study period, two #28 Penrose drains (Mingchuang Health, Suzhou, Jiangsu Province, China) were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B) (Figure 1). A radiological contrast study was performed at the 4th or 5th postoperative day to assess anastomotic integrity. The drains were subsequently removed 1 or 2 d after starting a soft blended diet. At our institution, ANPLDS therapy (Figure 2) has been a supported first-line treatment for the management of these nonreoperation patients since January 2014. This therapy was started on the day when AL was confirmed and continued until healing of the leak had been confirmed. The healing of the leak was confirmed by the radiological contrast study. For patients with AL, a radiological contrast study was performed once a week.\nSchematic diagram of the novel abdominal negative pressure lavage-drainage system. During the entire study period, two #28 Penrose drains were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B). In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if anastomotic leakage occurred. ANPLDS: Abdominal negative pressure lavage-drainage system; AL: Anastomotic leakage.\nThe abdominal negative pressure lavage-drainage system therapy for anastomotic leakage after radical gastrectomy.\nAL was defined as a complete intestinal wall defect at the anastomotic suture line that was confirmed via clinical findings, radiologic contrast medium assessment, abdominal computed tomography, a positive color test, or laparoscopic examination[13,14]. AL patients underwent reoperation or interventional therapy if AL led to additional severe complications such as abdominal bleeding, whereas other patients with AL underwent endoscopy or conservative treatment, including fasting, gastrointestinal decompression, drainage, anti-infection therapy, and nutritional support, among other therapeutic measures. During the entire study period, two #28 Penrose drains (Mingchuang Health, Suzhou, Jiangsu Province, China) were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B) (Figure 1). A radiological contrast study was performed at the 4th or 5th postoperative day to assess anastomotic integrity. The drains were subsequently removed 1 or 2 d after starting a soft blended diet. At our institution, ANPLDS therapy (Figure 2) has been a supported first-line treatment for the management of these nonreoperation patients since January 2014. This therapy was started on the day when AL was confirmed and continued until healing of the leak had been confirmed. The healing of the leak was confirmed by the radiological contrast study. For patients with AL, a radiological contrast study was performed once a week.\nSchematic diagram of the novel abdominal negative pressure lavage-drainage system. During the entire study period, two #28 Penrose drains were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B). In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if anastomotic leakage occurred. ANPLDS: Abdominal negative pressure lavage-drainage system; AL: Anastomotic leakage.\nThe abdominal negative pressure lavage-drainage system therapy for anastomotic leakage after radical gastrectomy.\n Design of ANPLDS In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if AL occurred (Figure 1). The inner end of the sputum suction tube was exposed to 0.3-0.5 cm inside tube A (Figure 1), and saline was used for continuous irrigation (150-200 mL/h, 3000 mL/d). The position of tube C was confirmed via X- ray if necessary. Tube A was attached to the drainage bottle (hole a), and a needle was maintained on the outside end of tube A as a blowhole (Figure 1). A suction drain with a negative pressure of 10-20 mmHg was attached to hole b of the drainage bottle (Figure 1).\nIn the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if AL occurred (Figure 1). The inner end of the sputum suction tube was exposed to 0.3-0.5 cm inside tube A (Figure 1), and saline was used for continuous irrigation (150-200 mL/h, 3000 mL/d). The position of tube C was confirmed via X- ray if necessary. Tube A was attached to the drainage bottle (hole a), and a needle was maintained on the outside end of tube A as a blowhole (Figure 1). A suction drain with a negative pressure of 10-20 mmHg was attached to hole b of the drainage bottle (Figure 1).\n Outcome measures The primary outcome of interest was FTR after AL. FTR was defined as mortality after the complication of interest[15,16]. Other postoperative outcomes included other complications, reoperation, and length of stay. The secondary outcomes of interest were clinicopathological and perioperative factors for associations with AL and FTR after AL. In this study, malnourishment was defined by the presence of at least one of the following criteria according to the Guidelines of the European Society for Clinical Nutrition and Metabolism (ESPEN)[17]: weight loss 10%-15% within 6 mo, body mass index (BMI) < 18.5 kg/m2, Subjective Global Assessment Grade C, or serum albumin < 30 g/L. However, patients who only met the criterion of BMI < 18.5 kg/m2 were considered lean but well-nourished[17,18].\nThe primary outcome of interest was FTR after AL. FTR was defined as mortality after the complication of interest[15,16]. Other postoperative outcomes included other complications, reoperation, and length of stay. The secondary outcomes of interest were clinicopathological and perioperative factors for associations with AL and FTR after AL. In this study, malnourishment was defined by the presence of at least one of the following criteria according to the Guidelines of the European Society for Clinical Nutrition and Metabolism (ESPEN)[17]: weight loss 10%-15% within 6 mo, body mass index (BMI) < 18.5 kg/m2, Subjective Global Assessment Grade C, or serum albumin < 30 g/L. However, patients who only met the criterion of BMI < 18.5 kg/m2 were considered lean but well-nourished[17,18].\n Statistical analysis Continuous data are reported as the mean ± standard deviation, and categorical data are presented as the proportion percentage and were analyzed by the Chi square test or Fisher’s exact test. To identify factors that predicted AL and the FTR rate after AL, variables significant in the univariable analysis (P < 0.05) were included in a multivariate analysis. A binary logistic regression with the forward entry method for the covariates was used to perform a multivariate analysis. All tests were two-sided, and a P-value lower than 0.05 was used to define statistical significance. Statistical analyses were performed using SPSS version 18.0 (SPSS Inc., Chicago, IL, United States).\nContinuous data are reported as the mean ± standard deviation, and categorical data are presented as the proportion percentage and were analyzed by the Chi square test or Fisher’s exact test. To identify factors that predicted AL and the FTR rate after AL, variables significant in the univariable analysis (P < 0.05) were included in a multivariate analysis. A binary logistic regression with the forward entry method for the covariates was used to perform a multivariate analysis. All tests were two-sided, and a P-value lower than 0.05 was used to define statistical significance. Statistical analyses were performed using SPSS version 18.0 (SPSS Inc., Chicago, IL, United States).", "From a prospective database, clinical data of patients who underwent RG for primary gastric adenocarcinoma at Fujian Medical University Union Hospital (FMUUH) between June 2009 and December 2016 were identified. The case exclusion criteria eliminated the following from the study: distant metastasis, neoadjuvant chemotherapy, thoracoabdominal incision, and incomplete clinical and pathologic data. Finally, 4173 patients were included in this study. Laboratory blood test data were collected within 1 wk before surgery, including preoperative hemoglobin (HB) and albumin (ALB) levels. The type of surgical resection and the extent of lymph node dissection were selected according to the Japanese GC treatment guidelines[11]. The 8th edition of the American Joint Committee on Cancer (AJCC) Staging Manual was used to determine the disease stage[12]. This study was approved by the relevant institutional review board.", "AL was defined as a complete intestinal wall defect at the anastomotic suture line that was confirmed via clinical findings, radiologic contrast medium assessment, abdominal computed tomography, a positive color test, or laparoscopic examination[13,14]. AL patients underwent reoperation or interventional therapy if AL led to additional severe complications such as abdominal bleeding, whereas other patients with AL underwent endoscopy or conservative treatment, including fasting, gastrointestinal decompression, drainage, anti-infection therapy, and nutritional support, among other therapeutic measures. During the entire study period, two #28 Penrose drains (Mingchuang Health, Suzhou, Jiangsu Province, China) were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B) (Figure 1). A radiological contrast study was performed at the 4th or 5th postoperative day to assess anastomotic integrity. The drains were subsequently removed 1 or 2 d after starting a soft blended diet. At our institution, ANPLDS therapy (Figure 2) has been a supported first-line treatment for the management of these nonreoperation patients since January 2014. This therapy was started on the day when AL was confirmed and continued until healing of the leak had been confirmed. The healing of the leak was confirmed by the radiological contrast study. For patients with AL, a radiological contrast study was performed once a week.\nSchematic diagram of the novel abdominal negative pressure lavage-drainage system. During the entire study period, two #28 Penrose drains were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B). In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if anastomotic leakage occurred. ANPLDS: Abdominal negative pressure lavage-drainage system; AL: Anastomotic leakage.\nThe abdominal negative pressure lavage-drainage system therapy for anastomotic leakage after radical gastrectomy.", "In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if AL occurred (Figure 1). The inner end of the sputum suction tube was exposed to 0.3-0.5 cm inside tube A (Figure 1), and saline was used for continuous irrigation (150-200 mL/h, 3000 mL/d). The position of tube C was confirmed via X- ray if necessary. Tube A was attached to the drainage bottle (hole a), and a needle was maintained on the outside end of tube A as a blowhole (Figure 1). A suction drain with a negative pressure of 10-20 mmHg was attached to hole b of the drainage bottle (Figure 1).", "The primary outcome of interest was FTR after AL. FTR was defined as mortality after the complication of interest[15,16]. Other postoperative outcomes included other complications, reoperation, and length of stay. The secondary outcomes of interest were clinicopathological and perioperative factors for associations with AL and FTR after AL. In this study, malnourishment was defined by the presence of at least one of the following criteria according to the Guidelines of the European Society for Clinical Nutrition and Metabolism (ESPEN)[17]: weight loss 10%-15% within 6 mo, body mass index (BMI) < 18.5 kg/m2, Subjective Global Assessment Grade C, or serum albumin < 30 g/L. However, patients who only met the criterion of BMI < 18.5 kg/m2 were considered lean but well-nourished[17,18].", "Continuous data are reported as the mean ± standard deviation, and categorical data are presented as the proportion percentage and were analyzed by the Chi square test or Fisher’s exact test. To identify factors that predicted AL and the FTR rate after AL, variables significant in the univariable analysis (P < 0.05) were included in a multivariate analysis. A binary logistic regression with the forward entry method for the covariates was used to perform a multivariate analysis. All tests were two-sided, and a P-value lower than 0.05 was used to define statistical significance. Statistical analyses were performed using SPSS version 18.0 (SPSS Inc., Chicago, IL, United States).", " Population Between June 2009 and December 2016, a total of 83 patients experienced AL among the 4173 identified patients. Data are compared between 2009 and 2013, which was the period before implementation of the ANPLDS therapy (period 1); as well as between 2014 and 2016, which was after the implementation (period 2). The incidence of AL before and after implementation of the ANPLDS therapy was similar [1.7% (37/2219) vs 2.3% (46/1958), P = 0.121]. Clinicopathological, preoperative, and operative data are reported in Table 1.\nCharacteristics of patients who underwent R0 resection for gastric cancer n (%)\nValues represent the number of patients (percentages), unless otherwise indicated. BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists; AL: Anastomotic leakage.\nBetween June 2009 and December 2016, a total of 83 patients experienced AL among the 4173 identified patients. Data are compared between 2009 and 2013, which was the period before implementation of the ANPLDS therapy (period 1); as well as between 2014 and 2016, which was after the implementation (period 2). The incidence of AL before and after implementation of the ANPLDS therapy was similar [1.7% (37/2219) vs 2.3% (46/1958), P = 0.121]. Clinicopathological, preoperative, and operative data are reported in Table 1.\nCharacteristics of patients who underwent R0 resection for gastric cancer n (%)\nValues represent the number of patients (percentages), unless otherwise indicated. BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists; AL: Anastomotic leakage.\n Postoperative morbidity and mortality AL occurring in 83 patients resulted in 7 deaths. The mean time of occurrence of AL was 5.6 d. The mean length of postoperative stay was 30.2 d. These AL required no invasive treatment in 58 (69.9%) patients, CT-guided puncture drainage in 16 (19.3%) patients, endoscopy in 3 (3.6%) patients, and reoperation in 6 (7.2%) patients. Postoperative morbidity, mortality, and treatment are summarized in Table 2. Compared with period 1, the rates significantly decreased for FTR (16.2% vs 2.2%, P = 0.041) and abdominal bleeding (18.9% vs 2.2%, P = 0.020) in period 2, but the time of AL occurrence and postoperative hospital stay for patients with AL were similar for the two periods (5.4 d vs 5.7 d, P = 0.738; 31.6 d vs 28.4 d, P = 0.458, respectively). Moreover, the reoperation rate was also reduced in period 2, although this result was not statistically significant (13.5% vs 2.2%, P = 0.084).\nPostoperative mortality, morbidity, and treatment modality among patients with anastomotic leakage after radical gastrectomy before (2009-2013) and after (2014-2016) implementation of the abdominal negative pressure lavage-drainage system n (%)\nAL: Anastomotic leakage; ARF&RI: Acute renal failure and renal insufficiency; CT: Computed tomography.\nThe univariate analysis showed that AL were most significantly associated with age ≥ 65, malnourishment, comorbidities, HB < 90 g/dL, and total gastrectomy (Supplemental Table 1). The multivariate analysis showed that the two factors independently associated with major complications were age ≥ 65 and malnourishment (Table 3).\nRisk factors predictive of anastomotic leakage after radical gastrectomy\nHB: Hemoglobin.\nAL occurring in 83 patients resulted in 7 deaths. The mean time of occurrence of AL was 5.6 d. The mean length of postoperative stay was 30.2 d. These AL required no invasive treatment in 58 (69.9%) patients, CT-guided puncture drainage in 16 (19.3%) patients, endoscopy in 3 (3.6%) patients, and reoperation in 6 (7.2%) patients. Postoperative morbidity, mortality, and treatment are summarized in Table 2. Compared with period 1, the rates significantly decreased for FTR (16.2% vs 2.2%, P = 0.041) and abdominal bleeding (18.9% vs 2.2%, P = 0.020) in period 2, but the time of AL occurrence and postoperative hospital stay for patients with AL were similar for the two periods (5.4 d vs 5.7 d, P = 0.738; 31.6 d vs 28.4 d, P = 0.458, respectively). Moreover, the reoperation rate was also reduced in period 2, although this result was not statistically significant (13.5% vs 2.2%, P = 0.084).\nPostoperative mortality, morbidity, and treatment modality among patients with anastomotic leakage after radical gastrectomy before (2009-2013) and after (2014-2016) implementation of the abdominal negative pressure lavage-drainage system n (%)\nAL: Anastomotic leakage; ARF&RI: Acute renal failure and renal insufficiency; CT: Computed tomography.\nThe univariate analysis showed that AL were most significantly associated with age ≥ 65, malnourishment, comorbidities, HB < 90 g/dL, and total gastrectomy (Supplemental Table 1). The multivariate analysis showed that the two factors independently associated with major complications were age ≥ 65 and malnourishment (Table 3).\nRisk factors predictive of anastomotic leakage after radical gastrectomy\nHB: Hemoglobin.\n FTR The FTR rate after AL was 8.4% (7/83) over the whole study period. The univariate analysis showed that the only factor independently associated with the risk of FTR rate after AL was ANPLDS therapy [odds ratio (OR) = 0.103, 95%CI: 0.012-0.898, P = 0.040] (Table 4). The detailed clinical characteristics of the deaths with AL are presented in Supplemental Table 2.\nRisk factors predictive of failure-to-rescue after anastomotic leakage with radical gastrectomy for gastric cancer\nANPLDS: Abdominal negative pressure lavage-drainage system; BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists.\nThe FTR rate after AL was 8.4% (7/83) over the whole study period. The univariate analysis showed that the only factor independently associated with the risk of FTR rate after AL was ANPLDS therapy [odds ratio (OR) = 0.103, 95%CI: 0.012-0.898, P = 0.040] (Table 4). The detailed clinical characteristics of the deaths with AL are presented in Supplemental Table 2.\nRisk factors predictive of failure-to-rescue after anastomotic leakage with radical gastrectomy for gastric cancer\nANPLDS: Abdominal negative pressure lavage-drainage system; BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists.", "Between June 2009 and December 2016, a total of 83 patients experienced AL among the 4173 identified patients. Data are compared between 2009 and 2013, which was the period before implementation of the ANPLDS therapy (period 1); as well as between 2014 and 2016, which was after the implementation (period 2). The incidence of AL before and after implementation of the ANPLDS therapy was similar [1.7% (37/2219) vs 2.3% (46/1958), P = 0.121]. Clinicopathological, preoperative, and operative data are reported in Table 1.\nCharacteristics of patients who underwent R0 resection for gastric cancer n (%)\nValues represent the number of patients (percentages), unless otherwise indicated. BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists; AL: Anastomotic leakage.", "AL occurring in 83 patients resulted in 7 deaths. The mean time of occurrence of AL was 5.6 d. The mean length of postoperative stay was 30.2 d. These AL required no invasive treatment in 58 (69.9%) patients, CT-guided puncture drainage in 16 (19.3%) patients, endoscopy in 3 (3.6%) patients, and reoperation in 6 (7.2%) patients. Postoperative morbidity, mortality, and treatment are summarized in Table 2. Compared with period 1, the rates significantly decreased for FTR (16.2% vs 2.2%, P = 0.041) and abdominal bleeding (18.9% vs 2.2%, P = 0.020) in period 2, but the time of AL occurrence and postoperative hospital stay for patients with AL were similar for the two periods (5.4 d vs 5.7 d, P = 0.738; 31.6 d vs 28.4 d, P = 0.458, respectively). Moreover, the reoperation rate was also reduced in period 2, although this result was not statistically significant (13.5% vs 2.2%, P = 0.084).\nPostoperative mortality, morbidity, and treatment modality among patients with anastomotic leakage after radical gastrectomy before (2009-2013) and after (2014-2016) implementation of the abdominal negative pressure lavage-drainage system n (%)\nAL: Anastomotic leakage; ARF&RI: Acute renal failure and renal insufficiency; CT: Computed tomography.\nThe univariate analysis showed that AL were most significantly associated with age ≥ 65, malnourishment, comorbidities, HB < 90 g/dL, and total gastrectomy (Supplemental Table 1). The multivariate analysis showed that the two factors independently associated with major complications were age ≥ 65 and malnourishment (Table 3).\nRisk factors predictive of anastomotic leakage after radical gastrectomy\nHB: Hemoglobin.", "The FTR rate after AL was 8.4% (7/83) over the whole study period. The univariate analysis showed that the only factor independently associated with the risk of FTR rate after AL was ANPLDS therapy [odds ratio (OR) = 0.103, 95%CI: 0.012-0.898, P = 0.040] (Table 4). The detailed clinical characteristics of the deaths with AL are presented in Supplemental Table 2.\nRisk factors predictive of failure-to-rescue after anastomotic leakage with radical gastrectomy for gastric cancer\nANPLDS: Abdominal negative pressure lavage-drainage system; BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists.", "AL is a common serious complication after gastrectomy in patients with GC. It is also the most important cause of postoperative abdominal infection, abscess, and abdominal bleeding. Improper management of AL may also increase the risk of death, prolong the length of stay, increase the cost of hospitalization, and even affect long-term survival[3,4]. Therefore, it is essential to identify the risk factors for AL and to take effective treatment measures.\nSeveral risk factors have been reported to be associated with AL, such as age, sex, smoking, malnutrition, longer operative time, tumor location, and tumor stage[19-22]. In this study, we found that age ≥ 65 and malnutrition were independent risk factors for AL after RG, which is consistent with previous studies by our center[23]. Elderly or malnourished patients often suffer from poor body conditions and insufficient blood and energy supply in the anastomotic area, which increases the risk of anastomotic fistula. Therefore, clinicians need to pay more attention to these patients and take appropriate measures to prevent postoperative AL, such as preoperative correction of malnutrition, intraoperative protection of perianastomotic tissue, perioperative supplemental oxygen administration[22], and appropriate use of antibiotics. Even with this, AL cannot be completely avoided. Therefore, it is the goal of clinical attention to select reasonable treatment methods and reduce the FTR rate in a situation of AL. However, the choice of treatment measures after the onset of AL is rarely reported.\nWhen AL occurs, the most important treatment is effective and unobstructed drainage. However, traditional drainage techniques to treat AL depend on gravity and pressure in the cavity with AL. In addition, viscous secretions greatly affect drainage and may even clog the drainage tube. Moreover, secretions that fail to discharge in a timely manner can cause abdominal infection or abscess and may also corrode vascular stumps in the local area, resulting in anastomotic or abdominal bleeding.\nFor better drainage, negative pressure-flush is often used clinically. Lin et al[24] found that continuous negative pressure-flush through an extraperitoneal dual tube can increase the successful rate of conservative therapy, decrease the reoperation rate, and improve the quality of life when combined with the use of an intra-rectal dual tube. Jiang et al[25] achieved an early intervention for severe bile leakage and pancreatic fistula after pancreaticoduodenectomy using an enclosed passive infraversion lavage-drainage system (EPILDS). However, the application of negative pressure flush in the treatment of GC gastrointestinal fistula has not been reported. Therefore, we present our utilization of and experiences with ANPLDS for AL after RG for GC in this study. We believe that the key reasons for our success with ANPLDS therapy were the use of local continuous irrigation and negative pressure drainage. First, continuous irrigation dilutes secretions, which is beneficial for the discharge of secretions via the drainage tube. Second, liquid is actively drawn off using negative pressure. The sustained air flow in the tubes makes the pressure in the tube lower than that in the area to be rinsed. Thus, secretions and necrotic tissue can be removed in a timely manner. Therefore, ANPLDS reduces local inflammation and provides a good environment for the closing and healing of an AL-inducing rupture.\nFTR or death after major complications has gained acceptance as an interesting metric evaluation of quality after surgery[26,27]. Although the definition of FTR varies widely in the previous literature, surgeons and researchers agree that the ability to rescue patients from severe postoperative complications, thus preventing mortality, is key to improve the quality and safety of surgery. We found that ANPLDS therapy was the only independent protective factor associated with FTR after AL. Our simple ANPLDS reduced the FTR, primarily due to decreases in reoperation and in the occurrence of severe complications such as abdominal bleeding. It is reasonable to believe that the decline in FTR is a direct external effect of this new treatment, because the FTR rate decreased suddenly after the implementation of ANPLDS. Additionally, our surgical team had performed more than 1000 cases and had sufficiently mastered the RG procedure for GC before the study period. Therefore, the impact of increasing experience on mortality that is expected to be progressive can be ignored. Of course, other factors that cannot be specifically measured in this study, such as the improvement of ICU care or postoperative care practices, may have an impact on FTR, but it does not seem likely to significantly reduce mortality in the short term. Therefore, we believe that this system is a potentially advantageous alternative to the treatment of AL.\nThis study had several limitations. First, it is a single-center retrospective study that needs to be verified by a multi-center, large sample prospective trial. Second, due to the limited number of AL cases, we analyzed all reconstruction methods instead of focusing solely on one type of anastomosis, which may increase the heterogeneity of the patient’s material. However, we first reported the feasible management of AL and the successful implementation of this system at our institution may serve as a model for treating AL at other centers.\nIn conclusion, ANPLDS can effectively reduce the FTR and abdominal bleeding rates after AL. Our experience demonstrates that ANPLDS is a feasible management for AL after RG for GC.", " Research background Anastomotic leakage (AL) remains relatively common and represents a major cause of postoperative morbidity after radical gastrectomy (RG) for gastric cancer (GC). AL is associated with high mortality.\nAnastomotic leakage (AL) remains relatively common and represents a major cause of postoperative morbidity after radical gastrectomy (RG) for gastric cancer (GC). AL is associated with high mortality.\n Research motivation Prophylactic drainage of the abdominal cavity is widely performed. The optimal creation of drainage in AL patients after RG remains controversial.\nProphylactic drainage of the abdominal cavity is widely performed. The optimal creation of drainage in AL patients after RG remains controversial.\n Research objectives The novel abdominal negative pressure lavage-drainage system (ANPLDS) is a feasible management for AL. Therefore, we present our utilization of and experiences with ANPLDS for AL after RG for GC.\nThe novel abdominal negative pressure lavage-drainage system (ANPLDS) is a feasible management for AL. Therefore, we present our utilization of and experiences with ANPLDS for AL after RG for GC.\n Research methods In January 2014, a novel ANPLDS was routinely used for patients with AL at our institution. AL rates and postoperative outcome were compared before and after the ANPLDS therapy.\nIn January 2014, a novel ANPLDS was routinely used for patients with AL at our institution. AL rates and postoperative outcome were compared before and after the ANPLDS therapy.\n Research results The novel ANPLDS can effectively reduce the failure-to-rescue and abdominal bleeding rates after AL.\nThe novel ANPLDS can effectively reduce the failure-to-rescue and abdominal bleeding rates after AL.\n Research conclusions Our experience demonstrates that the novel ANPLDS is a feasible management for AL after RG for GC.\nOur experience demonstrates that the novel ANPLDS is a feasible management for AL after RG for GC.\n Research perspectives The successful implementation of the novel ANPLDS at our institution may serve as a model for treating AL after RG for GC at other centers.\nThe successful implementation of the novel ANPLDS at our institution may serve as a model for treating AL after RG for GC at other centers.", "Anastomotic leakage (AL) remains relatively common and represents a major cause of postoperative morbidity after radical gastrectomy (RG) for gastric cancer (GC). AL is associated with high mortality.", "Prophylactic drainage of the abdominal cavity is widely performed. The optimal creation of drainage in AL patients after RG remains controversial.", "The novel abdominal negative pressure lavage-drainage system (ANPLDS) is a feasible management for AL. Therefore, we present our utilization of and experiences with ANPLDS for AL after RG for GC.", "In January 2014, a novel ANPLDS was routinely used for patients with AL at our institution. AL rates and postoperative outcome were compared before and after the ANPLDS therapy.", "The novel ANPLDS can effectively reduce the failure-to-rescue and abdominal bleeding rates after AL.", "Our experience demonstrates that the novel ANPLDS is a feasible management for AL after RG for GC." ]
[ null, "methods", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Gastric cancer", "Anastomotic leakage", "Drainage", "Lavage", "Failure-to-rescue" ]
INTRODUCTION: Improvements in surgical techniques and perioperative management have resulted in reduced postoperative mortality after radical gastrectomy (RG) for gastric cancer (GC). However, anastomotic leakage (AL) remains relatively common and represents a major cause of postoperative morbidity after RG for GC. The reported incidence of AL varies between 0% and 15.0%[1], and AL is associated with high mortality[2-4]. For several decades, routine prophylactic placement of abdominal drains has been the standard procedure in abdominal surgery. However, since the introduction of the enhanced recovery after surgery (ERAS) program, routine drain placement after gastrectomy is not warranted anymore, since drains do not reduce postoperative complications after gastrectomy and prolong hospital stay and postoperative recovery[5-7]. Despite these recommendations, prophylactic drainage of the abdominal cavity is still widely performed, because drains are believed to remove intraperitoneal fluids, which can be a source of infection, and drainage fluid might serve as an early warning sign of early complications like AL[7-10]. In January 2014, a novel abdominal negative pressure lavage-drainage system (ANPLDS) was routinely used for patients with AL at our institution. We found that ANPLDS can effectively reduce the failure-to-rescue (FTR) and abdominal bleeding rate after AL, and it is a feasible management for AL. Therefore, in this report, we present our utilization of and experiences with ANPLDS for AL after RG for GC. MATERIALS AND METHODS: Study population From a prospective database, clinical data of patients who underwent RG for primary gastric adenocarcinoma at Fujian Medical University Union Hospital (FMUUH) between June 2009 and December 2016 were identified. The case exclusion criteria eliminated the following from the study: distant metastasis, neoadjuvant chemotherapy, thoracoabdominal incision, and incomplete clinical and pathologic data. Finally, 4173 patients were included in this study. Laboratory blood test data were collected within 1 wk before surgery, including preoperative hemoglobin (HB) and albumin (ALB) levels. The type of surgical resection and the extent of lymph node dissection were selected according to the Japanese GC treatment guidelines[11]. The 8th edition of the American Joint Committee on Cancer (AJCC) Staging Manual was used to determine the disease stage[12]. This study was approved by the relevant institutional review board. From a prospective database, clinical data of patients who underwent RG for primary gastric adenocarcinoma at Fujian Medical University Union Hospital (FMUUH) between June 2009 and December 2016 were identified. The case exclusion criteria eliminated the following from the study: distant metastasis, neoadjuvant chemotherapy, thoracoabdominal incision, and incomplete clinical and pathologic data. Finally, 4173 patients were included in this study. Laboratory blood test data were collected within 1 wk before surgery, including preoperative hemoglobin (HB) and albumin (ALB) levels. The type of surgical resection and the extent of lymph node dissection were selected according to the Japanese GC treatment guidelines[11]. The 8th edition of the American Joint Committee on Cancer (AJCC) Staging Manual was used to determine the disease stage[12]. This study was approved by the relevant institutional review board. Management of AL AL was defined as a complete intestinal wall defect at the anastomotic suture line that was confirmed via clinical findings, radiologic contrast medium assessment, abdominal computed tomography, a positive color test, or laparoscopic examination[13,14]. AL patients underwent reoperation or interventional therapy if AL led to additional severe complications such as abdominal bleeding, whereas other patients with AL underwent endoscopy or conservative treatment, including fasting, gastrointestinal decompression, drainage, anti-infection therapy, and nutritional support, among other therapeutic measures. During the entire study period, two #28 Penrose drains (Mingchuang Health, Suzhou, Jiangsu Province, China) were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B) (Figure 1). A radiological contrast study was performed at the 4th or 5th postoperative day to assess anastomotic integrity. The drains were subsequently removed 1 or 2 d after starting a soft blended diet. At our institution, ANPLDS therapy (Figure 2) has been a supported first-line treatment for the management of these nonreoperation patients since January 2014. This therapy was started on the day when AL was confirmed and continued until healing of the leak had been confirmed. The healing of the leak was confirmed by the radiological contrast study. For patients with AL, a radiological contrast study was performed once a week. Schematic diagram of the novel abdominal negative pressure lavage-drainage system. During the entire study period, two #28 Penrose drains were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B). In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if anastomotic leakage occurred. ANPLDS: Abdominal negative pressure lavage-drainage system; AL: Anastomotic leakage. The abdominal negative pressure lavage-drainage system therapy for anastomotic leakage after radical gastrectomy. AL was defined as a complete intestinal wall defect at the anastomotic suture line that was confirmed via clinical findings, radiologic contrast medium assessment, abdominal computed tomography, a positive color test, or laparoscopic examination[13,14]. AL patients underwent reoperation or interventional therapy if AL led to additional severe complications such as abdominal bleeding, whereas other patients with AL underwent endoscopy or conservative treatment, including fasting, gastrointestinal decompression, drainage, anti-infection therapy, and nutritional support, among other therapeutic measures. During the entire study period, two #28 Penrose drains (Mingchuang Health, Suzhou, Jiangsu Province, China) were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B) (Figure 1). A radiological contrast study was performed at the 4th or 5th postoperative day to assess anastomotic integrity. The drains were subsequently removed 1 or 2 d after starting a soft blended diet. At our institution, ANPLDS therapy (Figure 2) has been a supported first-line treatment for the management of these nonreoperation patients since January 2014. This therapy was started on the day when AL was confirmed and continued until healing of the leak had been confirmed. The healing of the leak was confirmed by the radiological contrast study. For patients with AL, a radiological contrast study was performed once a week. Schematic diagram of the novel abdominal negative pressure lavage-drainage system. During the entire study period, two #28 Penrose drains were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B). In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if anastomotic leakage occurred. ANPLDS: Abdominal negative pressure lavage-drainage system; AL: Anastomotic leakage. The abdominal negative pressure lavage-drainage system therapy for anastomotic leakage after radical gastrectomy. Design of ANPLDS In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if AL occurred (Figure 1). The inner end of the sputum suction tube was exposed to 0.3-0.5 cm inside tube A (Figure 1), and saline was used for continuous irrigation (150-200 mL/h, 3000 mL/d). The position of tube C was confirmed via X- ray if necessary. Tube A was attached to the drainage bottle (hole a), and a needle was maintained on the outside end of tube A as a blowhole (Figure 1). A suction drain with a negative pressure of 10-20 mmHg was attached to hole b of the drainage bottle (Figure 1). In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if AL occurred (Figure 1). The inner end of the sputum suction tube was exposed to 0.3-0.5 cm inside tube A (Figure 1), and saline was used for continuous irrigation (150-200 mL/h, 3000 mL/d). The position of tube C was confirmed via X- ray if necessary. Tube A was attached to the drainage bottle (hole a), and a needle was maintained on the outside end of tube A as a blowhole (Figure 1). A suction drain with a negative pressure of 10-20 mmHg was attached to hole b of the drainage bottle (Figure 1). Outcome measures The primary outcome of interest was FTR after AL. FTR was defined as mortality after the complication of interest[15,16]. Other postoperative outcomes included other complications, reoperation, and length of stay. The secondary outcomes of interest were clinicopathological and perioperative factors for associations with AL and FTR after AL. In this study, malnourishment was defined by the presence of at least one of the following criteria according to the Guidelines of the European Society for Clinical Nutrition and Metabolism (ESPEN)[17]: weight loss 10%-15% within 6 mo, body mass index (BMI) < 18.5 kg/m2, Subjective Global Assessment Grade C, or serum albumin < 30 g/L. However, patients who only met the criterion of BMI < 18.5 kg/m2 were considered lean but well-nourished[17,18]. The primary outcome of interest was FTR after AL. FTR was defined as mortality after the complication of interest[15,16]. Other postoperative outcomes included other complications, reoperation, and length of stay. The secondary outcomes of interest were clinicopathological and perioperative factors for associations with AL and FTR after AL. In this study, malnourishment was defined by the presence of at least one of the following criteria according to the Guidelines of the European Society for Clinical Nutrition and Metabolism (ESPEN)[17]: weight loss 10%-15% within 6 mo, body mass index (BMI) < 18.5 kg/m2, Subjective Global Assessment Grade C, or serum albumin < 30 g/L. However, patients who only met the criterion of BMI < 18.5 kg/m2 were considered lean but well-nourished[17,18]. Statistical analysis Continuous data are reported as the mean ± standard deviation, and categorical data are presented as the proportion percentage and were analyzed by the Chi square test or Fisher’s exact test. To identify factors that predicted AL and the FTR rate after AL, variables significant in the univariable analysis (P < 0.05) were included in a multivariate analysis. A binary logistic regression with the forward entry method for the covariates was used to perform a multivariate analysis. All tests were two-sided, and a P-value lower than 0.05 was used to define statistical significance. Statistical analyses were performed using SPSS version 18.0 (SPSS Inc., Chicago, IL, United States). Continuous data are reported as the mean ± standard deviation, and categorical data are presented as the proportion percentage and were analyzed by the Chi square test or Fisher’s exact test. To identify factors that predicted AL and the FTR rate after AL, variables significant in the univariable analysis (P < 0.05) were included in a multivariate analysis. A binary logistic regression with the forward entry method for the covariates was used to perform a multivariate analysis. All tests were two-sided, and a P-value lower than 0.05 was used to define statistical significance. Statistical analyses were performed using SPSS version 18.0 (SPSS Inc., Chicago, IL, United States). Study population: From a prospective database, clinical data of patients who underwent RG for primary gastric adenocarcinoma at Fujian Medical University Union Hospital (FMUUH) between June 2009 and December 2016 were identified. The case exclusion criteria eliminated the following from the study: distant metastasis, neoadjuvant chemotherapy, thoracoabdominal incision, and incomplete clinical and pathologic data. Finally, 4173 patients were included in this study. Laboratory blood test data were collected within 1 wk before surgery, including preoperative hemoglobin (HB) and albumin (ALB) levels. The type of surgical resection and the extent of lymph node dissection were selected according to the Japanese GC treatment guidelines[11]. The 8th edition of the American Joint Committee on Cancer (AJCC) Staging Manual was used to determine the disease stage[12]. This study was approved by the relevant institutional review board. Management of AL: AL was defined as a complete intestinal wall defect at the anastomotic suture line that was confirmed via clinical findings, radiologic contrast medium assessment, abdominal computed tomography, a positive color test, or laparoscopic examination[13,14]. AL patients underwent reoperation or interventional therapy if AL led to additional severe complications such as abdominal bleeding, whereas other patients with AL underwent endoscopy or conservative treatment, including fasting, gastrointestinal decompression, drainage, anti-infection therapy, and nutritional support, among other therapeutic measures. During the entire study period, two #28 Penrose drains (Mingchuang Health, Suzhou, Jiangsu Province, China) were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B) (Figure 1). A radiological contrast study was performed at the 4th or 5th postoperative day to assess anastomotic integrity. The drains were subsequently removed 1 or 2 d after starting a soft blended diet. At our institution, ANPLDS therapy (Figure 2) has been a supported first-line treatment for the management of these nonreoperation patients since January 2014. This therapy was started on the day when AL was confirmed and continued until healing of the leak had been confirmed. The healing of the leak was confirmed by the radiological contrast study. For patients with AL, a radiological contrast study was performed once a week. Schematic diagram of the novel abdominal negative pressure lavage-drainage system. During the entire study period, two #28 Penrose drains were routinely placed in the surgical resection bed in patients at the end of the procedure, one at the anastomotic site (tube A) and the other under the left diaphragm (tube B). In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if anastomotic leakage occurred. ANPLDS: Abdominal negative pressure lavage-drainage system; AL: Anastomotic leakage. The abdominal negative pressure lavage-drainage system therapy for anastomotic leakage after radical gastrectomy. Design of ANPLDS: In the ward, a #6 sputum suction tube (tube C) was placed next to the anastomotic stoma from the inside of tube A if AL occurred (Figure 1). The inner end of the sputum suction tube was exposed to 0.3-0.5 cm inside tube A (Figure 1), and saline was used for continuous irrigation (150-200 mL/h, 3000 mL/d). The position of tube C was confirmed via X- ray if necessary. Tube A was attached to the drainage bottle (hole a), and a needle was maintained on the outside end of tube A as a blowhole (Figure 1). A suction drain with a negative pressure of 10-20 mmHg was attached to hole b of the drainage bottle (Figure 1). Outcome measures: The primary outcome of interest was FTR after AL. FTR was defined as mortality after the complication of interest[15,16]. Other postoperative outcomes included other complications, reoperation, and length of stay. The secondary outcomes of interest were clinicopathological and perioperative factors for associations with AL and FTR after AL. In this study, malnourishment was defined by the presence of at least one of the following criteria according to the Guidelines of the European Society for Clinical Nutrition and Metabolism (ESPEN)[17]: weight loss 10%-15% within 6 mo, body mass index (BMI) < 18.5 kg/m2, Subjective Global Assessment Grade C, or serum albumin < 30 g/L. However, patients who only met the criterion of BMI < 18.5 kg/m2 were considered lean but well-nourished[17,18]. Statistical analysis: Continuous data are reported as the mean ± standard deviation, and categorical data are presented as the proportion percentage and were analyzed by the Chi square test or Fisher’s exact test. To identify factors that predicted AL and the FTR rate after AL, variables significant in the univariable analysis (P < 0.05) were included in a multivariate analysis. A binary logistic regression with the forward entry method for the covariates was used to perform a multivariate analysis. All tests were two-sided, and a P-value lower than 0.05 was used to define statistical significance. Statistical analyses were performed using SPSS version 18.0 (SPSS Inc., Chicago, IL, United States). RESULTS: Population Between June 2009 and December 2016, a total of 83 patients experienced AL among the 4173 identified patients. Data are compared between 2009 and 2013, which was the period before implementation of the ANPLDS therapy (period 1); as well as between 2014 and 2016, which was after the implementation (period 2). The incidence of AL before and after implementation of the ANPLDS therapy was similar [1.7% (37/2219) vs 2.3% (46/1958), P = 0.121]. Clinicopathological, preoperative, and operative data are reported in Table 1. Characteristics of patients who underwent R0 resection for gastric cancer n (%) Values represent the number of patients (percentages), unless otherwise indicated. BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists; AL: Anastomotic leakage. Between June 2009 and December 2016, a total of 83 patients experienced AL among the 4173 identified patients. Data are compared between 2009 and 2013, which was the period before implementation of the ANPLDS therapy (period 1); as well as between 2014 and 2016, which was after the implementation (period 2). The incidence of AL before and after implementation of the ANPLDS therapy was similar [1.7% (37/2219) vs 2.3% (46/1958), P = 0.121]. Clinicopathological, preoperative, and operative data are reported in Table 1. Characteristics of patients who underwent R0 resection for gastric cancer n (%) Values represent the number of patients (percentages), unless otherwise indicated. BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists; AL: Anastomotic leakage. Postoperative morbidity and mortality AL occurring in 83 patients resulted in 7 deaths. The mean time of occurrence of AL was 5.6 d. The mean length of postoperative stay was 30.2 d. These AL required no invasive treatment in 58 (69.9%) patients, CT-guided puncture drainage in 16 (19.3%) patients, endoscopy in 3 (3.6%) patients, and reoperation in 6 (7.2%) patients. Postoperative morbidity, mortality, and treatment are summarized in Table 2. Compared with period 1, the rates significantly decreased for FTR (16.2% vs 2.2%, P = 0.041) and abdominal bleeding (18.9% vs 2.2%, P = 0.020) in period 2, but the time of AL occurrence and postoperative hospital stay for patients with AL were similar for the two periods (5.4 d vs 5.7 d, P = 0.738; 31.6 d vs 28.4 d, P = 0.458, respectively). Moreover, the reoperation rate was also reduced in period 2, although this result was not statistically significant (13.5% vs 2.2%, P = 0.084). Postoperative mortality, morbidity, and treatment modality among patients with anastomotic leakage after radical gastrectomy before (2009-2013) and after (2014-2016) implementation of the abdominal negative pressure lavage-drainage system n (%) AL: Anastomotic leakage; ARF&RI: Acute renal failure and renal insufficiency; CT: Computed tomography. The univariate analysis showed that AL were most significantly associated with age ≥ 65, malnourishment, comorbidities, HB < 90 g/dL, and total gastrectomy (Supplemental Table 1). The multivariate analysis showed that the two factors independently associated with major complications were age ≥ 65 and malnourishment (Table 3). Risk factors predictive of anastomotic leakage after radical gastrectomy HB: Hemoglobin. AL occurring in 83 patients resulted in 7 deaths. The mean time of occurrence of AL was 5.6 d. The mean length of postoperative stay was 30.2 d. These AL required no invasive treatment in 58 (69.9%) patients, CT-guided puncture drainage in 16 (19.3%) patients, endoscopy in 3 (3.6%) patients, and reoperation in 6 (7.2%) patients. Postoperative morbidity, mortality, and treatment are summarized in Table 2. Compared with period 1, the rates significantly decreased for FTR (16.2% vs 2.2%, P = 0.041) and abdominal bleeding (18.9% vs 2.2%, P = 0.020) in period 2, but the time of AL occurrence and postoperative hospital stay for patients with AL were similar for the two periods (5.4 d vs 5.7 d, P = 0.738; 31.6 d vs 28.4 d, P = 0.458, respectively). Moreover, the reoperation rate was also reduced in period 2, although this result was not statistically significant (13.5% vs 2.2%, P = 0.084). Postoperative mortality, morbidity, and treatment modality among patients with anastomotic leakage after radical gastrectomy before (2009-2013) and after (2014-2016) implementation of the abdominal negative pressure lavage-drainage system n (%) AL: Anastomotic leakage; ARF&RI: Acute renal failure and renal insufficiency; CT: Computed tomography. The univariate analysis showed that AL were most significantly associated with age ≥ 65, malnourishment, comorbidities, HB < 90 g/dL, and total gastrectomy (Supplemental Table 1). The multivariate analysis showed that the two factors independently associated with major complications were age ≥ 65 and malnourishment (Table 3). Risk factors predictive of anastomotic leakage after radical gastrectomy HB: Hemoglobin. FTR The FTR rate after AL was 8.4% (7/83) over the whole study period. The univariate analysis showed that the only factor independently associated with the risk of FTR rate after AL was ANPLDS therapy [odds ratio (OR) = 0.103, 95%CI: 0.012-0.898, P = 0.040] (Table 4). The detailed clinical characteristics of the deaths with AL are presented in Supplemental Table 2. Risk factors predictive of failure-to-rescue after anastomotic leakage with radical gastrectomy for gastric cancer ANPLDS: Abdominal negative pressure lavage-drainage system; BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists. The FTR rate after AL was 8.4% (7/83) over the whole study period. The univariate analysis showed that the only factor independently associated with the risk of FTR rate after AL was ANPLDS therapy [odds ratio (OR) = 0.103, 95%CI: 0.012-0.898, P = 0.040] (Table 4). The detailed clinical characteristics of the deaths with AL are presented in Supplemental Table 2. Risk factors predictive of failure-to-rescue after anastomotic leakage with radical gastrectomy for gastric cancer ANPLDS: Abdominal negative pressure lavage-drainage system; BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists. Population: Between June 2009 and December 2016, a total of 83 patients experienced AL among the 4173 identified patients. Data are compared between 2009 and 2013, which was the period before implementation of the ANPLDS therapy (period 1); as well as between 2014 and 2016, which was after the implementation (period 2). The incidence of AL before and after implementation of the ANPLDS therapy was similar [1.7% (37/2219) vs 2.3% (46/1958), P = 0.121]. Clinicopathological, preoperative, and operative data are reported in Table 1. Characteristics of patients who underwent R0 resection for gastric cancer n (%) Values represent the number of patients (percentages), unless otherwise indicated. BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists; AL: Anastomotic leakage. Postoperative morbidity and mortality: AL occurring in 83 patients resulted in 7 deaths. The mean time of occurrence of AL was 5.6 d. The mean length of postoperative stay was 30.2 d. These AL required no invasive treatment in 58 (69.9%) patients, CT-guided puncture drainage in 16 (19.3%) patients, endoscopy in 3 (3.6%) patients, and reoperation in 6 (7.2%) patients. Postoperative morbidity, mortality, and treatment are summarized in Table 2. Compared with period 1, the rates significantly decreased for FTR (16.2% vs 2.2%, P = 0.041) and abdominal bleeding (18.9% vs 2.2%, P = 0.020) in period 2, but the time of AL occurrence and postoperative hospital stay for patients with AL were similar for the two periods (5.4 d vs 5.7 d, P = 0.738; 31.6 d vs 28.4 d, P = 0.458, respectively). Moreover, the reoperation rate was also reduced in period 2, although this result was not statistically significant (13.5% vs 2.2%, P = 0.084). Postoperative mortality, morbidity, and treatment modality among patients with anastomotic leakage after radical gastrectomy before (2009-2013) and after (2014-2016) implementation of the abdominal negative pressure lavage-drainage system n (%) AL: Anastomotic leakage; ARF&RI: Acute renal failure and renal insufficiency; CT: Computed tomography. The univariate analysis showed that AL were most significantly associated with age ≥ 65, malnourishment, comorbidities, HB < 90 g/dL, and total gastrectomy (Supplemental Table 1). The multivariate analysis showed that the two factors independently associated with major complications were age ≥ 65 and malnourishment (Table 3). Risk factors predictive of anastomotic leakage after radical gastrectomy HB: Hemoglobin. FTR: The FTR rate after AL was 8.4% (7/83) over the whole study period. The univariate analysis showed that the only factor independently associated with the risk of FTR rate after AL was ANPLDS therapy [odds ratio (OR) = 0.103, 95%CI: 0.012-0.898, P = 0.040] (Table 4). The detailed clinical characteristics of the deaths with AL are presented in Supplemental Table 2. Risk factors predictive of failure-to-rescue after anastomotic leakage with radical gastrectomy for gastric cancer ANPLDS: Abdominal negative pressure lavage-drainage system; BMI: Body mass index; HB: Hemoglobin; ASA: American Society of Anesthesiologists. DISCUSSION: AL is a common serious complication after gastrectomy in patients with GC. It is also the most important cause of postoperative abdominal infection, abscess, and abdominal bleeding. Improper management of AL may also increase the risk of death, prolong the length of stay, increase the cost of hospitalization, and even affect long-term survival[3,4]. Therefore, it is essential to identify the risk factors for AL and to take effective treatment measures. Several risk factors have been reported to be associated with AL, such as age, sex, smoking, malnutrition, longer operative time, tumor location, and tumor stage[19-22]. In this study, we found that age ≥ 65 and malnutrition were independent risk factors for AL after RG, which is consistent with previous studies by our center[23]. Elderly or malnourished patients often suffer from poor body conditions and insufficient blood and energy supply in the anastomotic area, which increases the risk of anastomotic fistula. Therefore, clinicians need to pay more attention to these patients and take appropriate measures to prevent postoperative AL, such as preoperative correction of malnutrition, intraoperative protection of perianastomotic tissue, perioperative supplemental oxygen administration[22], and appropriate use of antibiotics. Even with this, AL cannot be completely avoided. Therefore, it is the goal of clinical attention to select reasonable treatment methods and reduce the FTR rate in a situation of AL. However, the choice of treatment measures after the onset of AL is rarely reported. When AL occurs, the most important treatment is effective and unobstructed drainage. However, traditional drainage techniques to treat AL depend on gravity and pressure in the cavity with AL. In addition, viscous secretions greatly affect drainage and may even clog the drainage tube. Moreover, secretions that fail to discharge in a timely manner can cause abdominal infection or abscess and may also corrode vascular stumps in the local area, resulting in anastomotic or abdominal bleeding. For better drainage, negative pressure-flush is often used clinically. Lin et al[24] found that continuous negative pressure-flush through an extraperitoneal dual tube can increase the successful rate of conservative therapy, decrease the reoperation rate, and improve the quality of life when combined with the use of an intra-rectal dual tube. Jiang et al[25] achieved an early intervention for severe bile leakage and pancreatic fistula after pancreaticoduodenectomy using an enclosed passive infraversion lavage-drainage system (EPILDS). However, the application of negative pressure flush in the treatment of GC gastrointestinal fistula has not been reported. Therefore, we present our utilization of and experiences with ANPLDS for AL after RG for GC in this study. We believe that the key reasons for our success with ANPLDS therapy were the use of local continuous irrigation and negative pressure drainage. First, continuous irrigation dilutes secretions, which is beneficial for the discharge of secretions via the drainage tube. Second, liquid is actively drawn off using negative pressure. The sustained air flow in the tubes makes the pressure in the tube lower than that in the area to be rinsed. Thus, secretions and necrotic tissue can be removed in a timely manner. Therefore, ANPLDS reduces local inflammation and provides a good environment for the closing and healing of an AL-inducing rupture. FTR or death after major complications has gained acceptance as an interesting metric evaluation of quality after surgery[26,27]. Although the definition of FTR varies widely in the previous literature, surgeons and researchers agree that the ability to rescue patients from severe postoperative complications, thus preventing mortality, is key to improve the quality and safety of surgery. We found that ANPLDS therapy was the only independent protective factor associated with FTR after AL. Our simple ANPLDS reduced the FTR, primarily due to decreases in reoperation and in the occurrence of severe complications such as abdominal bleeding. It is reasonable to believe that the decline in FTR is a direct external effect of this new treatment, because the FTR rate decreased suddenly after the implementation of ANPLDS. Additionally, our surgical team had performed more than 1000 cases and had sufficiently mastered the RG procedure for GC before the study period. Therefore, the impact of increasing experience on mortality that is expected to be progressive can be ignored. Of course, other factors that cannot be specifically measured in this study, such as the improvement of ICU care or postoperative care practices, may have an impact on FTR, but it does not seem likely to significantly reduce mortality in the short term. Therefore, we believe that this system is a potentially advantageous alternative to the treatment of AL. This study had several limitations. First, it is a single-center retrospective study that needs to be verified by a multi-center, large sample prospective trial. Second, due to the limited number of AL cases, we analyzed all reconstruction methods instead of focusing solely on one type of anastomosis, which may increase the heterogeneity of the patient’s material. However, we first reported the feasible management of AL and the successful implementation of this system at our institution may serve as a model for treating AL at other centers. In conclusion, ANPLDS can effectively reduce the FTR and abdominal bleeding rates after AL. Our experience demonstrates that ANPLDS is a feasible management for AL after RG for GC. ARTICLE HIGHLIGHTS: Research background Anastomotic leakage (AL) remains relatively common and represents a major cause of postoperative morbidity after radical gastrectomy (RG) for gastric cancer (GC). AL is associated with high mortality. Anastomotic leakage (AL) remains relatively common and represents a major cause of postoperative morbidity after radical gastrectomy (RG) for gastric cancer (GC). AL is associated with high mortality. Research motivation Prophylactic drainage of the abdominal cavity is widely performed. The optimal creation of drainage in AL patients after RG remains controversial. Prophylactic drainage of the abdominal cavity is widely performed. The optimal creation of drainage in AL patients after RG remains controversial. Research objectives The novel abdominal negative pressure lavage-drainage system (ANPLDS) is a feasible management for AL. Therefore, we present our utilization of and experiences with ANPLDS for AL after RG for GC. The novel abdominal negative pressure lavage-drainage system (ANPLDS) is a feasible management for AL. Therefore, we present our utilization of and experiences with ANPLDS for AL after RG for GC. Research methods In January 2014, a novel ANPLDS was routinely used for patients with AL at our institution. AL rates and postoperative outcome were compared before and after the ANPLDS therapy. In January 2014, a novel ANPLDS was routinely used for patients with AL at our institution. AL rates and postoperative outcome were compared before and after the ANPLDS therapy. Research results The novel ANPLDS can effectively reduce the failure-to-rescue and abdominal bleeding rates after AL. The novel ANPLDS can effectively reduce the failure-to-rescue and abdominal bleeding rates after AL. Research conclusions Our experience demonstrates that the novel ANPLDS is a feasible management for AL after RG for GC. Our experience demonstrates that the novel ANPLDS is a feasible management for AL after RG for GC. Research perspectives The successful implementation of the novel ANPLDS at our institution may serve as a model for treating AL after RG for GC at other centers. The successful implementation of the novel ANPLDS at our institution may serve as a model for treating AL after RG for GC at other centers. Research background: Anastomotic leakage (AL) remains relatively common and represents a major cause of postoperative morbidity after radical gastrectomy (RG) for gastric cancer (GC). AL is associated with high mortality. Research motivation: Prophylactic drainage of the abdominal cavity is widely performed. The optimal creation of drainage in AL patients after RG remains controversial. Research objectives: The novel abdominal negative pressure lavage-drainage system (ANPLDS) is a feasible management for AL. Therefore, we present our utilization of and experiences with ANPLDS for AL after RG for GC. Research methods: In January 2014, a novel ANPLDS was routinely used for patients with AL at our institution. AL rates and postoperative outcome were compared before and after the ANPLDS therapy. Research results: The novel ANPLDS can effectively reduce the failure-to-rescue and abdominal bleeding rates after AL. Research conclusions: Our experience demonstrates that the novel ANPLDS is a feasible management for AL after RG for GC.
Background: Anastomotic leakage (AL) is a severe complication associated with high morbidity and mortality after radical gastrectomy (RG) for gastric cancer (GC). We hypothesized that a novel abdominal negative pressure lavage-drainage system (ANPLDS) can effectively reduce the failure-to-rescue (FTR) and the risk of reoperation, and it is a feasible management for AL. Methods: The study enrolled 4173 patients who underwent R0 resection for GC at our institution between June 2009 and December 2016. ANPLDS was routinely used for patients with AL after January 2014. Characterization of patients who underwent R0 resection was compared between different study periods. AL rates and postoperative outcome among patients with AL were compared before and after the ANPLDS therapy. We used multivariate analyses to evaluate clinicopathological and perioperative factors for associations with AL and FTR after AL. Results: AL occurred in 83 (83/4173, 2%) patients, leading to 7 deaths. The mean time of occurrence of AL was 5.6 days. The AL rate was similar before (2009-2013, period 1) and after (2014-2016, period 2) the implementation of the ANPLDS therapy (1.7% vs 2.3%, P = 0.121). Age and malnourishment were independently associated with AL. The FTR rate and abdominal bleeding rate after AL occurred were respectively 8.4% and 9.6% for the entire period; however, compared with period 1, this significantly decreased during period 2 (16.2% vs 2.2%, P = 0.041; 18.9% vs 2.2%, P = 0.020, respectively). Moreover, the reoperation rate was also reduced in period 2, although this result was not statistically significant (13.5% vs 2.2%, P = 0.084). Additionally, only ANPLDS therapy was an independent protective factor for FTR after AL (P = 0.04). Conclusions: Our experience demonstrates that ANPLDS is a feasible management for AL after RG for GC.
INTRODUCTION: Improvements in surgical techniques and perioperative management have resulted in reduced postoperative mortality after radical gastrectomy (RG) for gastric cancer (GC). However, anastomotic leakage (AL) remains relatively common and represents a major cause of postoperative morbidity after RG for GC. The reported incidence of AL varies between 0% and 15.0%[1], and AL is associated with high mortality[2-4]. For several decades, routine prophylactic placement of abdominal drains has been the standard procedure in abdominal surgery. However, since the introduction of the enhanced recovery after surgery (ERAS) program, routine drain placement after gastrectomy is not warranted anymore, since drains do not reduce postoperative complications after gastrectomy and prolong hospital stay and postoperative recovery[5-7]. Despite these recommendations, prophylactic drainage of the abdominal cavity is still widely performed, because drains are believed to remove intraperitoneal fluids, which can be a source of infection, and drainage fluid might serve as an early warning sign of early complications like AL[7-10]. In January 2014, a novel abdominal negative pressure lavage-drainage system (ANPLDS) was routinely used for patients with AL at our institution. We found that ANPLDS can effectively reduce the failure-to-rescue (FTR) and abdominal bleeding rate after AL, and it is a feasible management for AL. Therefore, in this report, we present our utilization of and experiences with ANPLDS for AL after RG for GC. Research conclusions: The successful implementation of the novel ANPLDS at our institution may serve as a model for treating AL after RG for GC at other centers.
Background: Anastomotic leakage (AL) is a severe complication associated with high morbidity and mortality after radical gastrectomy (RG) for gastric cancer (GC). We hypothesized that a novel abdominal negative pressure lavage-drainage system (ANPLDS) can effectively reduce the failure-to-rescue (FTR) and the risk of reoperation, and it is a feasible management for AL. Methods: The study enrolled 4173 patients who underwent R0 resection for GC at our institution between June 2009 and December 2016. ANPLDS was routinely used for patients with AL after January 2014. Characterization of patients who underwent R0 resection was compared between different study periods. AL rates and postoperative outcome among patients with AL were compared before and after the ANPLDS therapy. We used multivariate analyses to evaluate clinicopathological and perioperative factors for associations with AL and FTR after AL. Results: AL occurred in 83 (83/4173, 2%) patients, leading to 7 deaths. The mean time of occurrence of AL was 5.6 days. The AL rate was similar before (2009-2013, period 1) and after (2014-2016, period 2) the implementation of the ANPLDS therapy (1.7% vs 2.3%, P = 0.121). Age and malnourishment were independently associated with AL. The FTR rate and abdominal bleeding rate after AL occurred were respectively 8.4% and 9.6% for the entire period; however, compared with period 1, this significantly decreased during period 2 (16.2% vs 2.2%, P = 0.041; 18.9% vs 2.2%, P = 0.020, respectively). Moreover, the reoperation rate was also reduced in period 2, although this result was not statistically significant (13.5% vs 2.2%, P = 0.084). Additionally, only ANPLDS therapy was an independent protective factor for FTR after AL (P = 0.04). Conclusions: Our experience demonstrates that ANPLDS is a feasible management for AL after RG for GC.
6,786
374
[ 272, 154, 396, 151, 148, 127, 1265, 158, 342, 125, 995, 417, 36, 23, 37, 32, 19, 18 ]
19
[ "patients", "anplds", "tube", "anastomotic", "drainage", "abdominal", "study", "postoperative", "ftr", "therapy" ]
[ "placement gastrectomy", "complications gastrectomy prolong", "patients anastomotic leakage", "prophylactic drainage abdominal", "anastomotic leakage abdominal" ]
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[CONTENT] Gastric cancer | Anastomotic leakage | Drainage | Lavage | Failure-to-rescue [SUMMARY]
[CONTENT] Gastric cancer | Anastomotic leakage | Drainage | Lavage | Failure-to-rescue [SUMMARY]
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[CONTENT] Gastric cancer | Anastomotic leakage | Drainage | Lavage | Failure-to-rescue [SUMMARY]
[CONTENT] Gastric cancer | Anastomotic leakage | Drainage | Lavage | Failure-to-rescue [SUMMARY]
[CONTENT] Gastric cancer | Anastomotic leakage | Drainage | Lavage | Failure-to-rescue [SUMMARY]
[CONTENT] Age Factors | Aged | Anastomosis, Surgical | Anastomotic Leak | Drainage | Failure to Rescue, Health Care | Feasibility Studies | Female | Gastrectomy | Humans | Laparoscopy | Male | Malnutrition | Middle Aged | Reoperation | Retrospective Studies | Stomach Neoplasms | Therapeutic Irrigation [SUMMARY]
[CONTENT] Age Factors | Aged | Anastomosis, Surgical | Anastomotic Leak | Drainage | Failure to Rescue, Health Care | Feasibility Studies | Female | Gastrectomy | Humans | Laparoscopy | Male | Malnutrition | Middle Aged | Reoperation | Retrospective Studies | Stomach Neoplasms | Therapeutic Irrigation [SUMMARY]
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[CONTENT] Age Factors | Aged | Anastomosis, Surgical | Anastomotic Leak | Drainage | Failure to Rescue, Health Care | Feasibility Studies | Female | Gastrectomy | Humans | Laparoscopy | Male | Malnutrition | Middle Aged | Reoperation | Retrospective Studies | Stomach Neoplasms | Therapeutic Irrigation [SUMMARY]
[CONTENT] Age Factors | Aged | Anastomosis, Surgical | Anastomotic Leak | Drainage | Failure to Rescue, Health Care | Feasibility Studies | Female | Gastrectomy | Humans | Laparoscopy | Male | Malnutrition | Middle Aged | Reoperation | Retrospective Studies | Stomach Neoplasms | Therapeutic Irrigation [SUMMARY]
[CONTENT] Age Factors | Aged | Anastomosis, Surgical | Anastomotic Leak | Drainage | Failure to Rescue, Health Care | Feasibility Studies | Female | Gastrectomy | Humans | Laparoscopy | Male | Malnutrition | Middle Aged | Reoperation | Retrospective Studies | Stomach Neoplasms | Therapeutic Irrigation [SUMMARY]
[CONTENT] placement gastrectomy | complications gastrectomy prolong | patients anastomotic leakage | prophylactic drainage abdominal | anastomotic leakage abdominal [SUMMARY]
[CONTENT] placement gastrectomy | complications gastrectomy prolong | patients anastomotic leakage | prophylactic drainage abdominal | anastomotic leakage abdominal [SUMMARY]
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[CONTENT] placement gastrectomy | complications gastrectomy prolong | patients anastomotic leakage | prophylactic drainage abdominal | anastomotic leakage abdominal [SUMMARY]
[CONTENT] placement gastrectomy | complications gastrectomy prolong | patients anastomotic leakage | prophylactic drainage abdominal | anastomotic leakage abdominal [SUMMARY]
[CONTENT] placement gastrectomy | complications gastrectomy prolong | patients anastomotic leakage | prophylactic drainage abdominal | anastomotic leakage abdominal [SUMMARY]
[CONTENT] patients | anplds | tube | anastomotic | drainage | abdominal | study | postoperative | ftr | therapy [SUMMARY]
[CONTENT] patients | anplds | tube | anastomotic | drainage | abdominal | study | postoperative | ftr | therapy [SUMMARY]
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[CONTENT] patients | anplds | tube | anastomotic | drainage | abdominal | study | postoperative | ftr | therapy [SUMMARY]
[CONTENT] patients | anplds | tube | anastomotic | drainage | abdominal | study | postoperative | ftr | therapy [SUMMARY]
[CONTENT] patients | anplds | tube | anastomotic | drainage | abdominal | study | postoperative | ftr | therapy [SUMMARY]
[CONTENT] drains | abdominal | recovery | placement | routine | postoperative | early | gc | prophylactic | gastrectomy [SUMMARY]
[CONTENT] tube | study | figure | anastomotic | confirmed | patients | contrast | data | end | placed [SUMMARY]
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[CONTENT] novel anplds feasible | experience demonstrates novel | experience demonstrates novel anplds | demonstrates novel | demonstrates novel anplds feasible | demonstrates novel anplds | novel anplds feasible management | management rg | demonstrates | experience demonstrates [SUMMARY]
[CONTENT] anplds | patients | tube | drainage | abdominal | rg | novel | novel anplds | gc | anastomotic [SUMMARY]
[CONTENT] anplds | patients | tube | drainage | abdominal | rg | novel | novel anplds | gc | anastomotic [SUMMARY]
[CONTENT] GC ||| FTR | AL [SUMMARY]
[CONTENT] 4173 | R0 | GC | between June 2009 and December 2016 ||| AL | January 2014 ||| R0 ||| AL | ANPLDS ||| AL | FTR | AL [SUMMARY]
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[CONTENT] ANPLDS | AL | GC [SUMMARY]
[CONTENT] GC ||| FTR | 4173 | R0 | GC | between June 2009 and December 2016 ||| AL | January 2014 ||| R0 ||| AL | ANPLDS ||| AL | FTR | 83 | 83/4173 | 2% | 7 ||| AL | 5.6 days ||| AL | 2009-2013 | 1 | 2014-2016 | 2 | ANPLDS | 1.7% | 2.3% | 0.121 ||| AL ||| FTR | AL | 8.4% | 9.6% | 1 | 2 | 16.2% | 2.2% | 0.041 | 18.9% | 2.2% | 0.020 ||| 2 | 13.5% | 2.2% | 0.084 ||| FTR | AL | 0.04 ||| ANPLDS | AL | GC [SUMMARY]
[CONTENT] GC ||| FTR | 4173 | R0 | GC | between June 2009 and December 2016 ||| AL | January 2014 ||| R0 ||| AL | ANPLDS ||| AL | FTR | 83 | 83/4173 | 2% | 7 ||| AL | 5.6 days ||| AL | 2009-2013 | 1 | 2014-2016 | 2 | ANPLDS | 1.7% | 2.3% | 0.121 ||| AL ||| FTR | AL | 8.4% | 9.6% | 1 | 2 | 16.2% | 2.2% | 0.041 | 18.9% | 2.2% | 0.020 ||| 2 | 13.5% | 2.2% | 0.084 ||| FTR | AL | 0.04 ||| ANPLDS | AL | GC [SUMMARY]
Potential value of circulatory microRNA10b gene expression and its target E-cadherin as a prognostic and metastatic prediction marker for breast cancer.
34264524
Breast cancer (BC) is the leading cause of cancer death in women worldwide. Most BC studies on candidate microRNAs were tissue specimen based. Recently, there has been a focus on the study of cell-free circulating miRNAs as promising biomarkers in (BC) diagnosis and prognosis. Therefore, we aimed to investigate the circulating levels of miR-10b and its target soluble E- cadherin as potentially easily accessible biomarkers for breast cancer.
BACKGROUND
Sixty-one breast cancer patients and forty-eight age- and sex-matched healthy volunteers serving as a control group were enrolled in the present study. Serum samples were used to assess miRNA10b expression by TaqMan miRNA assay technique. In addition, soluble E-cadherin expression level in serum was determined using ELISA technique.
METHODS
Circulating miR-10b expression level and serum sE-cadherin was significantly upregulated in patients with BC compared to controls. Moreover, serum miR-10b displayed progressive up-regulation in advanced stages with higher level in metastatic compared to non-metastatic BC. Additionally, the combined use of both serum miR-10b and sE-cadherin revealed the highest sensitivity and specificity for detection of BC metastasis (92.9% and 97.9% respectively) with an area under curve (AUC) of 0.98, 95% CI (0.958-1.00).
RESULT
Our data suggest that circulating miR-10b could be utilized as a potential non-invasive serum biomarker for diagnosis and prognosis of breast cancer with better performance to predict BC metastasis achieved on measuring it simultaneously with serum sE-cadherin. Further studies with a large cohort of patients are warranted to validate the serum biomarker for breast cancer management.
CONCLUSION
[ "Adult", "Aged", "Antigens, CD", "Biomarkers, Tumor", "Breast Neoplasms", "Cadherins", "Case-Control Studies", "Circulating MicroRNA", "Female", "Gene Expression Regulation, Neoplastic", "Humans", "Membrane Glycoproteins", "Middle Aged", "Prognosis", "ROC Curve", "Receptors, Immunologic", "Sensitivity and Specificity" ]
8373345
INTRODUCTION
Breast carcinoma is the most common malignancy among women worldwide. It causes more than 0.5 million deaths every year.1 Despite the advance in the current breast cancer (BC) therapies, metastasis is still the major cause of cancer‐related death in most BC patients.1 Almost 30% of patients diagnosed with early‐stage BC may develop distant metastasis months or even years later.2 So far, metastatic BC is an incurable disease and remains the critical challenge facing oncologists. The underlying molecular mechanism of BC metastasis is still incompletely understood. MicroRNAs (miRNAs) are a class of short single‐stranded cellular RNAs that are approximately between 18 and 25 nucleotides in length.3 They are important regulators of the expression of protein‐coding genes or long non‐coding RNAs (lncRNAs),4 by inhibiting target mRNA translation or by promoting target RNA degradation.3 Studies have shown that aberrant expression of miRNAs is associated with several types of human cancers, tumor invasiveness, and metastasis.5, 6 Several miRNAs were found to play a crucial role in tumor metastasis and recurrence, recently called MetastamiRs. Some of these miRNAs have been reported to be dysregulated in metastatic BC.7 The miR‐10 family of miRNAs consists of two members: miR‐10a and miR‐10b, which are located at chromosome 17 and 2, respectively.8 Among all identified miRNAs, miR‐10b was the first miRNA to be reported by Ma and his colleagues as a promoter for cancer metastasis.9 Later on, a number of studies showed that miR‐10b is highly expressed in metastatic cancer tissues, including pancreatic cancer,10 glioblastoma,11 gastric cancer,12 and recently metastatic colorectal cancer.13 Previous studies on BC showed that miR‐10b was over‐expressed in metastatic breast cancer tissue promoting tumor cell migration and invasion.7, 14 On contrary, other authors showed miR‐10b downregulation in primary breast tumors compared with normal breast tissue.15 However, both in vivo and in vitro studies suggest involvement of miR‐10b in BC invasiveness and metastasis and therefore is suggested to be a useful prognostic biomarker.16, 17 A better understanding of the role of circulating miR‐10b in metastasis will help in the development of miRNA‐based, anti‐metastasis targeted therapies. On the other hand, E‐cadherin (E‐cad) is one of the members of a family of transmembrane glycoproteins and a calcium‐dependent adhesion molecule. The soluble form of E‐cadherin (sE‐cadherin) is produced by the cleavage of the extracellular domain of the anchored protein (120 kDa), leading to the release of fragments of 80 kDa.18 Aberrant expression of E‐cadherin have been associated with the development of breast cancer metastases and other cancers.19 Although in vitro studies have proved an association between reduced E‐cadherin expression and tumor invasion, this association has not been confirmed in vivo yet.20 It has been postulated that E‐cadherin is one of the targets of miR‐10b through which it may exert its metastatic effect on breast cancer cell lines.21, 22 However, the exact mechanism of circulating miR‐10b involvement in the BC metastasis is still unclear. Based on the proven clinical relevance of miR‐10b to BC, the aim of this study was to investigate the circulating levels of miR‐10b and its target soluble E‐cadherin as a potentially easily accessible biomarkers that could be used in diagnosis, prognosis, and metastasis prediction of breast cancer in Egyptian female patients.
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RESULTS
The study included 61 female patients with BC with a mean age of 54.7 ± 14.1 years and 50 age‐matched healthy female volunteers. According to TNM‐staging system, most of BC patients (n = 32, 52.5%) were at stage II, 11 patients (18.0%) at stage III and 18 patients (29.5%) at stage IV. 18 out of 61 patients (29.5%) had distant metastasis and 14 out of all patients (25.5%) died during the period of the study, Table 1. All demographic and clinical data as regards age, family history, histological grading as well as hormone receptor status and molecular subtypes of BC are shown in Table 1. Clinico‐pathological characteristics of the studied breast cancer patients (n = 61) Quantitative data were expressed using Mean ± SD. p: p‐value for comparing between the studied groups Abbreviations: χ 2, Chi‐square test; FE, Fisher exact; t, Student's t test. miR‐10b relative expression level and serum sE‐cadherin level in breast cancer The BC patients showed significant up‐regulation in miR‐10b expression level (3.45 ± 3.0 fold change) compared to that of the control group (1.22 ± 1.40 fold change), (p = 0.004), Figure 1. Moreover, miR‐10b expression level was significantly higher in the patients with BC metastasis compared to those with non‐metastatic BC (5.6 ± 2.5 versus 3.0 ± 2.9 fold change) (p = 0.008), Figure 2. As regards serum sE‐cadherin level, it was significantly higher in BC patients compared to that of the control group, (1846.3 ± 312.3 ng/ml vs. 631.5 ± 63.2 ng/ml, p < 0.001), Table 2. Furthermore, it was significantly higher in the patients with BC metastasis compared to patients with non‐metastatic BC (2149.4 ± 291.5 ng/ml vs. 1719.4 ± 221.6 ng/ml), Table 2. No significant difference was observed between miR‐10b expression levels regarding the molecular subtypes of BC, Figure 3. Comparison between BC patients and control subjects according to miRNA10b expression level in serum Comparison between breast cancer patients (metastatic and non‐metastatic) and controls according to miRNA10b expression level in serum Comparison between BC patients and controls according to serum soluble E‐cadherin expression level Pairwise comparison bet. each 2 groups was done using post hoc test (Tukey) for ANOVA test. Means with common letters are not significant (ie, means with different letters are significant) Abbreviation: BC, breast cancer. For comparing between total cases and control using student's t test. Relation between miRNA10b expression with molecular Subtypes (n = 61) Significant higher miR‐10b expression level and serum sE‐cadherin level were observed when patients with HER2 positive were compared to those with HER2 negative (p = 0.001, p = 0.041, respectively), Figure 4A,B. (A) Relation between miRNA10b expression and HER2 status (n = 61). (B) Relation between sE‐cadherin and HER2 status (n = 61) On comparing miR‐10b level between the different TNM stages in BC patients, a statistically significant difference was detected among stages II, III, and IV (p < 0.001). Applying post hoc test revealed a higher miR‐10b gene expression in advanced stages (III and IV) as compared to earlier ones (stage II), Figure 5. Relation between miRNA10b expression level with tumor stage (n = 61) The BC patients showed significant up‐regulation in miR‐10b expression level (3.45 ± 3.0 fold change) compared to that of the control group (1.22 ± 1.40 fold change), (p = 0.004), Figure 1. Moreover, miR‐10b expression level was significantly higher in the patients with BC metastasis compared to those with non‐metastatic BC (5.6 ± 2.5 versus 3.0 ± 2.9 fold change) (p = 0.008), Figure 2. As regards serum sE‐cadherin level, it was significantly higher in BC patients compared to that of the control group, (1846.3 ± 312.3 ng/ml vs. 631.5 ± 63.2 ng/ml, p < 0.001), Table 2. Furthermore, it was significantly higher in the patients with BC metastasis compared to patients with non‐metastatic BC (2149.4 ± 291.5 ng/ml vs. 1719.4 ± 221.6 ng/ml), Table 2. No significant difference was observed between miR‐10b expression levels regarding the molecular subtypes of BC, Figure 3. Comparison between BC patients and control subjects according to miRNA10b expression level in serum Comparison between breast cancer patients (metastatic and non‐metastatic) and controls according to miRNA10b expression level in serum Comparison between BC patients and controls according to serum soluble E‐cadherin expression level Pairwise comparison bet. each 2 groups was done using post hoc test (Tukey) for ANOVA test. Means with common letters are not significant (ie, means with different letters are significant) Abbreviation: BC, breast cancer. For comparing between total cases and control using student's t test. Relation between miRNA10b expression with molecular Subtypes (n = 61) Significant higher miR‐10b expression level and serum sE‐cadherin level were observed when patients with HER2 positive were compared to those with HER2 negative (p = 0.001, p = 0.041, respectively), Figure 4A,B. (A) Relation between miRNA10b expression and HER2 status (n = 61). (B) Relation between sE‐cadherin and HER2 status (n = 61) On comparing miR‐10b level between the different TNM stages in BC patients, a statistically significant difference was detected among stages II, III, and IV (p < 0.001). Applying post hoc test revealed a higher miR‐10b gene expression in advanced stages (III and IV) as compared to earlier ones (stage II), Figure 5. Relation between miRNA10b expression level with tumor stage (n = 61) Correlation analysis of serum miR‐10b level and serum sE‐cadherin level with the tumor characteristics of breast cancer Furthermore, the association of the fold change of expression of miR‐10b and serum sE‐cadherin level with the tumor stage, tumor grade, tumor size, and lymphatic/vascular invasion were assessed. miR‐10b expression level demonstrated positive association with serum sE‐cadherin level, (r = 0.683, p < 0.001). In addition, both serum sE‐cadherin and circulating level of miR‐106b were found closely related to tumor size, tumor grade, and lymph node metastasis, Table 3. Correlation between miRNA10b and tumor characteristics in BC patients (n = 61) Abbreviations: r, Pearson coefficient; r s, Spearman coefficient. Statistically significant at p ≤ 0.05. Furthermore, the association of the fold change of expression of miR‐10b and serum sE‐cadherin level with the tumor stage, tumor grade, tumor size, and lymphatic/vascular invasion were assessed. miR‐10b expression level demonstrated positive association with serum sE‐cadherin level, (r = 0.683, p < 0.001). In addition, both serum sE‐cadherin and circulating level of miR‐106b were found closely related to tumor size, tumor grade, and lymph node metastasis, Table 3. Correlation between miRNA10b and tumor characteristics in BC patients (n = 61) Abbreviations: r, Pearson coefficient; r s, Spearman coefficient. Statistically significant at p ≤ 0.05. Diagnostic performance of serum miR‐10band serum sE‐cadherin levels The receiver operating characteristic curve (ROC) analysis showed that miR‐10b expression level in serum at a cutoff of >1.4 fold change could discriminate BC patients from control subjects with an area under the curve (AUC) 0.75, a sensitivity of 78.69%, a specificity of 77.08%, and a 95% confidence interval (CI) of (0.657–0.845), (p < 0.001), Figure 6A. Moreover, ROC analysis showed that miR‐10b expression level in serum at a cutoff of 7.14 fold change has a high ability to distinguish patients with BC metastasis from those without metastasis with an (AUC) 0.98, a sensitivity of 76.9%, a specificity of 97.9% and a 95% (CI) of (0.96–1.0), (p < 0.001), Figure 6B. Furthermore, ROC curve analysis for serum sE‐cadherin achieved an AUC of 0.82 at a cutoff of >1,780 ng/ml with a sensitivity of 76.9%, a specificity 70.8% and a 95% CI of (0.72–0.92), Figure 6C. While, combined use of both serum miR‐10b and sE‐cadherin revealed the highest sensitivity and specificity (92.9% and 97.9%, respectively) with an AUC of 0.98 and a 95% CI of (0.95–1.00), Figure 6D. (A) ROC curve for miRNA10b expression to diagnose BC patients (n = 61) from Control (n = 48). (B) ROC curve for miRNA10b expression to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages II and III). (C) ROC curve for sE‐cadherin to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III). (D) ROC curve for Combined (miRNA10b expression+sE‐cadherin) to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III) Our study concluded that BC with metastasis is clearly accompanied by over expression of serum miR‐10b and higher serum sE‐cadherin levels compared to BC without metastasis, which are in turn significantly associated with tumor stage and tumor size. This indicates that both miR‐10b and sE‐cadherin can be involved in the development and progression of breast cancer. The receiver operating characteristic curve (ROC) analysis showed that miR‐10b expression level in serum at a cutoff of >1.4 fold change could discriminate BC patients from control subjects with an area under the curve (AUC) 0.75, a sensitivity of 78.69%, a specificity of 77.08%, and a 95% confidence interval (CI) of (0.657–0.845), (p < 0.001), Figure 6A. Moreover, ROC analysis showed that miR‐10b expression level in serum at a cutoff of 7.14 fold change has a high ability to distinguish patients with BC metastasis from those without metastasis with an (AUC) 0.98, a sensitivity of 76.9%, a specificity of 97.9% and a 95% (CI) of (0.96–1.0), (p < 0.001), Figure 6B. Furthermore, ROC curve analysis for serum sE‐cadherin achieved an AUC of 0.82 at a cutoff of >1,780 ng/ml with a sensitivity of 76.9%, a specificity 70.8% and a 95% CI of (0.72–0.92), Figure 6C. While, combined use of both serum miR‐10b and sE‐cadherin revealed the highest sensitivity and specificity (92.9% and 97.9%, respectively) with an AUC of 0.98 and a 95% CI of (0.95–1.00), Figure 6D. (A) ROC curve for miRNA10b expression to diagnose BC patients (n = 61) from Control (n = 48). (B) ROC curve for miRNA10b expression to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages II and III). (C) ROC curve for sE‐cadherin to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III). (D) ROC curve for Combined (miRNA10b expression+sE‐cadherin) to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III) Our study concluded that BC with metastasis is clearly accompanied by over expression of serum miR‐10b and higher serum sE‐cadherin levels compared to BC without metastasis, which are in turn significantly associated with tumor stage and tumor size. This indicates that both miR‐10b and sE‐cadherin can be involved in the development and progression of breast cancer.
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[ "INTRODUCTION", "SUBJECTS AND METHODS", "Assessment of serum miR‐10b expression levels", "Sample collection, total RNA extraction, and reverse transcription", "Quantitative real‐time PCR (qPCR)", "Assay for serum levels of soluble E‐cadherin", "Statistical analysis", "miR‐10b relative expression level and serum sE‐cadherin level in breast cancer", "Correlation analysis of serum miR‐10b level and serum sE‐cadherin level with the tumor characteristics of breast cancer", "Diagnostic performance of serum miR‐10band serum sE‐cadherin levels" ]
[ "Breast carcinoma is the most common malignancy among women worldwide. It causes more than 0.5 million deaths every year.1 Despite the advance in the current breast cancer (BC) therapies, metastasis is still the major cause of cancer‐related death in most BC patients.1 Almost 30% of patients diagnosed with early‐stage BC may develop distant metastasis months or even years later.2 So far, metastatic BC is an incurable disease and remains the critical challenge facing oncologists.\nThe underlying molecular mechanism of BC metastasis is still incompletely understood. MicroRNAs (miRNAs) are a class of short single‐stranded cellular RNAs that are approximately between 18 and 25 nucleotides in length.3 They are important regulators of the expression of protein‐coding genes or long non‐coding RNAs (lncRNAs),4 by inhibiting target mRNA translation or by promoting target RNA degradation.3 Studies have shown that aberrant expression of miRNAs is associated with several types of human cancers, tumor invasiveness, and metastasis.5, 6\n\nSeveral miRNAs were found to play a crucial role in tumor metastasis and recurrence, recently called MetastamiRs. Some of these miRNAs have been reported to be dysregulated in metastatic BC.7\n\nThe miR‐10 family of miRNAs consists of two members: miR‐10a and miR‐10b, which are located at chromosome 17 and 2, respectively.8 Among all identified miRNAs, miR‐10b was the first miRNA to be reported by Ma and his colleagues as a promoter for cancer metastasis.9 Later on, a number of studies showed that miR‐10b is highly expressed in metastatic cancer tissues, including pancreatic cancer,10 glioblastoma,11 gastric cancer,12 and recently metastatic colorectal cancer.13\n\nPrevious studies on BC showed that miR‐10b was over‐expressed in metastatic breast cancer tissue promoting tumor cell migration and invasion.7, 14 On contrary, other authors showed miR‐10b downregulation in primary breast tumors compared with normal breast tissue.15\n\nHowever, both in vivo and in vitro studies suggest involvement of miR‐10b in BC invasiveness and metastasis and therefore is suggested to be a useful prognostic biomarker.16, 17 A better understanding of the role of circulating miR‐10b in metastasis will help in the development of miRNA‐based, anti‐metastasis targeted therapies.\nOn the other hand, E‐cadherin (E‐cad) is one of the members of a family of transmembrane glycoproteins and a calcium‐dependent adhesion molecule. The soluble form of E‐cadherin (sE‐cadherin) is produced by the cleavage of the extracellular domain of the anchored protein (120 kDa), leading to the release of fragments of 80 kDa.18\n\nAberrant expression of E‐cadherin have been associated with the development of breast cancer metastases and other cancers.19 Although in vitro studies have proved an association between reduced E‐cadherin expression and tumor invasion, this association has not been confirmed in vivo yet.20\n\nIt has been postulated that E‐cadherin is one of the targets of miR‐10b through which it may exert its metastatic effect on breast cancer cell lines.21, 22 However, the exact mechanism of circulating miR‐10b involvement in the BC metastasis is still unclear. Based on the proven clinical relevance of miR‐10b to BC, the aim of this study was to investigate the circulating levels of miR‐10b and its target soluble E‐cadherin as a potentially easily accessible biomarkers that could be used in diagnosis, prognosis, and metastasis prediction of breast cancer in Egyptian female patients.", "Following approval of the Alexandria university committee of medical ethics (approval ID: 0302182), serum samples were obtained from 61 breast cancer patients before surgery at the Department of Surgery at the Medical Research Institute Hospital, Alexandria University. In addition to a group of 48 age and sex‐matched healthy volunteers served as a control group. A written informed consent was obtained from every subject, and the study was conducted in compliance with the Helsinki Declaration.\nFull history taking, thorough clinical examination and fine needle aspiration cytology (FNAC) or excision biopsy from the breast mass for pathological examination were done to all patients. Laboratory investigations including fasting blood sugar, kidney functions, liver functions, and tumor markers were done. In addition to radiological examination including ultrasound of both breasts, mammography, pelvic‐abdominal ultrasound, chest X‐ray, and bone scan. Postoperative pathology examination as well as hormonal Estrogen and progesterone receptors (ER & PR), and epidermal growth factor receptor 2(HER‐2) were done. Clinical staging was performed according to tumor‐node‐metastasis classification system (TNM). Serum miR‐10b expression and serum E‐cadherin levels were estimated for all patients and healthy controls.\nAssessment of serum miR‐10b expression levels Sample collection, total RNA extraction, and reverse transcription The blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C.\nThe blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C.\nQuantitative real‐time PCR (qPCR) Real‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control.\nAmplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls.\nReal‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control.\nAmplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls.\nAssay for serum levels of soluble E‐cadherin Serum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve.\nSerum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve.\nSample collection, total RNA extraction, and reverse transcription The blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C.\nThe blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C.\nQuantitative real‐time PCR (qPCR) Real‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control.\nAmplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls.\nReal‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control.\nAmplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls.\nAssay for serum levels of soluble E‐cadherin Serum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve.\nSerum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve.\nStatistical analysis Data were analyzed using SPSS software package version 20.0 (Armonk, NY‐IBM Corp). Qualitative data were compared using chi‐square test or Fisher exact test and were expressed as numbers and percent. Normally distributed quantitative data were compared using Student's t test and were expressed as mean and SD. Unusually distributed quantitative variables were compared using Mann‐Whitney U test. Receiver operating characteristic (ROC) curve was used to determine the diagnostic performance of the studied biomarkers. Statistical significance was set at p < 0.05.\nData were analyzed using SPSS software package version 20.0 (Armonk, NY‐IBM Corp). Qualitative data were compared using chi‐square test or Fisher exact test and were expressed as numbers and percent. Normally distributed quantitative data were compared using Student's t test and were expressed as mean and SD. Unusually distributed quantitative variables were compared using Mann‐Whitney U test. Receiver operating characteristic (ROC) curve was used to determine the diagnostic performance of the studied biomarkers. Statistical significance was set at p < 0.05.", "Sample collection, total RNA extraction, and reverse transcription The blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C.\nThe blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C.\nQuantitative real‐time PCR (qPCR) Real‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control.\nAmplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls.\nReal‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control.\nAmplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls.\nAssay for serum levels of soluble E‐cadherin Serum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve.\nSerum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve.", "The blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C.", "Real‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control.\nAmplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls.", "Serum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve.", "Data were analyzed using SPSS software package version 20.0 (Armonk, NY‐IBM Corp). Qualitative data were compared using chi‐square test or Fisher exact test and were expressed as numbers and percent. Normally distributed quantitative data were compared using Student's t test and were expressed as mean and SD. Unusually distributed quantitative variables were compared using Mann‐Whitney U test. Receiver operating characteristic (ROC) curve was used to determine the diagnostic performance of the studied biomarkers. Statistical significance was set at p < 0.05.", "The BC patients showed significant up‐regulation in miR‐10b expression level (3.45 ± 3.0 fold change) compared to that of the control group (1.22 ± 1.40 fold change), (p = 0.004), Figure 1. Moreover, miR‐10b expression level was significantly higher in the patients with BC metastasis compared to those with non‐metastatic BC (5.6 ± 2.5 versus 3.0 ± 2.9 fold change) (p = 0.008), Figure 2. As regards serum sE‐cadherin level, it was significantly higher in BC patients compared to that of the control group, (1846.3 ± 312.3 ng/ml vs. 631.5 ± 63.2 ng/ml, p < 0.001), Table 2. Furthermore, it was significantly higher in the patients with BC metastasis compared to patients with non‐metastatic BC (2149.4 ± 291.5 ng/ml vs. 1719.4 ± 221.6 ng/ml), Table 2. No significant difference was observed between miR‐10b expression levels regarding the molecular subtypes of BC, Figure 3.\nComparison between BC patients and control subjects according to miRNA10b expression level in serum\nComparison between breast cancer patients (metastatic and non‐metastatic) and controls according to miRNA10b expression level in serum\nComparison between BC patients and controls according to serum soluble E‐cadherin expression level\nPairwise comparison bet. each 2 groups was done using post hoc test (Tukey) for ANOVA test. Means with common letters are not significant (ie, means with different letters are significant)\nAbbreviation: BC, breast cancer.\nFor comparing between total cases and control using student's t test.\nRelation between miRNA10b expression with molecular Subtypes (n = 61)\nSignificant higher miR‐10b expression level and serum sE‐cadherin level were observed when patients with HER2 positive were compared to those with HER2 negative (p = 0.001, p = 0.041, respectively), Figure 4A,B.\n(A) Relation between miRNA10b expression and HER2 status (n = 61). (B) Relation between sE‐cadherin and HER2 status (n = 61)\nOn comparing miR‐10b level between the different TNM stages in BC patients, a statistically significant difference was detected among stages II, III, and IV (p < 0.001). Applying post hoc test revealed a higher miR‐10b gene expression in advanced stages (III and IV) as compared to earlier ones (stage II), Figure 5.\nRelation between miRNA10b expression level with tumor stage (n = 61)", "Furthermore, the association of the fold change of expression of miR‐10b and serum sE‐cadherin level with the tumor stage, tumor grade, tumor size, and lymphatic/vascular invasion were assessed. miR‐10b expression level demonstrated positive association with serum sE‐cadherin level, (r = 0.683, p < 0.001). In addition, both serum sE‐cadherin and circulating level of miR‐106b were found closely related to tumor size, tumor grade, and lymph node metastasis, Table 3.\nCorrelation between miRNA10b and tumor characteristics in BC patients (n = 61)\nAbbreviations: r, Pearson coefficient; r\ns, Spearman coefficient.\nStatistically significant at p ≤ 0.05.", "The receiver operating characteristic curve (ROC) analysis showed that miR‐10b expression level in serum at a cutoff of >1.4 fold change could discriminate BC patients from control subjects with an area under the curve (AUC) 0.75, a sensitivity of 78.69%, a specificity of 77.08%, and a 95% confidence interval (CI) of (0.657–0.845), (p < 0.001), Figure 6A. Moreover, ROC analysis showed that miR‐10b expression level in serum at a cutoff of 7.14 fold change has a high ability to distinguish patients with BC metastasis from those without metastasis with an (AUC) 0.98, a sensitivity of 76.9%, a specificity of 97.9% and a 95% (CI) of (0.96–1.0), (p < 0.001), Figure 6B. Furthermore, ROC curve analysis for serum sE‐cadherin achieved an AUC of 0.82 at a cutoff of >1,780 ng/ml with a sensitivity of 76.9%, a specificity 70.8% and a 95% CI of (0.72–0.92), Figure 6C. While, combined use of both serum miR‐10b and sE‐cadherin revealed the highest sensitivity and specificity (92.9% and 97.9%, respectively) with an AUC of 0.98 and a 95% CI of (0.95–1.00), Figure 6D.\n(A) ROC curve for miRNA10b expression to diagnose BC patients (n = 61) from Control (n = 48). (B) ROC curve for miRNA10b expression to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages II and III). (C) ROC curve for sE‐cadherin to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III). (D) ROC curve for Combined (miRNA10b expression+sE‐cadherin) to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III)\nOur study concluded that BC with metastasis is clearly accompanied by over expression of serum miR‐10b and higher serum sE‐cadherin levels compared to BC without metastasis, which are in turn significantly associated with tumor stage and tumor size. This indicates that both miR‐10b and sE‐cadherin can be involved in the development and progression of breast cancer." ]
[ null, null, null, null, null, null, null, null, null, null ]
[ "INTRODUCTION", "SUBJECTS AND METHODS", "Assessment of serum miR‐10b expression levels", "Sample collection, total RNA extraction, and reverse transcription", "Quantitative real‐time PCR (qPCR)", "Assay for serum levels of soluble E‐cadherin", "Statistical analysis", "RESULTS", "miR‐10b relative expression level and serum sE‐cadherin level in breast cancer", "Correlation analysis of serum miR‐10b level and serum sE‐cadherin level with the tumor characteristics of breast cancer", "Diagnostic performance of serum miR‐10band serum sE‐cadherin levels", "DISCUSSION" ]
[ "Breast carcinoma is the most common malignancy among women worldwide. It causes more than 0.5 million deaths every year.1 Despite the advance in the current breast cancer (BC) therapies, metastasis is still the major cause of cancer‐related death in most BC patients.1 Almost 30% of patients diagnosed with early‐stage BC may develop distant metastasis months or even years later.2 So far, metastatic BC is an incurable disease and remains the critical challenge facing oncologists.\nThe underlying molecular mechanism of BC metastasis is still incompletely understood. MicroRNAs (miRNAs) are a class of short single‐stranded cellular RNAs that are approximately between 18 and 25 nucleotides in length.3 They are important regulators of the expression of protein‐coding genes or long non‐coding RNAs (lncRNAs),4 by inhibiting target mRNA translation or by promoting target RNA degradation.3 Studies have shown that aberrant expression of miRNAs is associated with several types of human cancers, tumor invasiveness, and metastasis.5, 6\n\nSeveral miRNAs were found to play a crucial role in tumor metastasis and recurrence, recently called MetastamiRs. Some of these miRNAs have been reported to be dysregulated in metastatic BC.7\n\nThe miR‐10 family of miRNAs consists of two members: miR‐10a and miR‐10b, which are located at chromosome 17 and 2, respectively.8 Among all identified miRNAs, miR‐10b was the first miRNA to be reported by Ma and his colleagues as a promoter for cancer metastasis.9 Later on, a number of studies showed that miR‐10b is highly expressed in metastatic cancer tissues, including pancreatic cancer,10 glioblastoma,11 gastric cancer,12 and recently metastatic colorectal cancer.13\n\nPrevious studies on BC showed that miR‐10b was over‐expressed in metastatic breast cancer tissue promoting tumor cell migration and invasion.7, 14 On contrary, other authors showed miR‐10b downregulation in primary breast tumors compared with normal breast tissue.15\n\nHowever, both in vivo and in vitro studies suggest involvement of miR‐10b in BC invasiveness and metastasis and therefore is suggested to be a useful prognostic biomarker.16, 17 A better understanding of the role of circulating miR‐10b in metastasis will help in the development of miRNA‐based, anti‐metastasis targeted therapies.\nOn the other hand, E‐cadherin (E‐cad) is one of the members of a family of transmembrane glycoproteins and a calcium‐dependent adhesion molecule. The soluble form of E‐cadherin (sE‐cadherin) is produced by the cleavage of the extracellular domain of the anchored protein (120 kDa), leading to the release of fragments of 80 kDa.18\n\nAberrant expression of E‐cadherin have been associated with the development of breast cancer metastases and other cancers.19 Although in vitro studies have proved an association between reduced E‐cadherin expression and tumor invasion, this association has not been confirmed in vivo yet.20\n\nIt has been postulated that E‐cadherin is one of the targets of miR‐10b through which it may exert its metastatic effect on breast cancer cell lines.21, 22 However, the exact mechanism of circulating miR‐10b involvement in the BC metastasis is still unclear. Based on the proven clinical relevance of miR‐10b to BC, the aim of this study was to investigate the circulating levels of miR‐10b and its target soluble E‐cadherin as a potentially easily accessible biomarkers that could be used in diagnosis, prognosis, and metastasis prediction of breast cancer in Egyptian female patients.", "Following approval of the Alexandria university committee of medical ethics (approval ID: 0302182), serum samples were obtained from 61 breast cancer patients before surgery at the Department of Surgery at the Medical Research Institute Hospital, Alexandria University. In addition to a group of 48 age and sex‐matched healthy volunteers served as a control group. A written informed consent was obtained from every subject, and the study was conducted in compliance with the Helsinki Declaration.\nFull history taking, thorough clinical examination and fine needle aspiration cytology (FNAC) or excision biopsy from the breast mass for pathological examination were done to all patients. Laboratory investigations including fasting blood sugar, kidney functions, liver functions, and tumor markers were done. In addition to radiological examination including ultrasound of both breasts, mammography, pelvic‐abdominal ultrasound, chest X‐ray, and bone scan. Postoperative pathology examination as well as hormonal Estrogen and progesterone receptors (ER & PR), and epidermal growth factor receptor 2(HER‐2) were done. Clinical staging was performed according to tumor‐node‐metastasis classification system (TNM). Serum miR‐10b expression and serum E‐cadherin levels were estimated for all patients and healthy controls.\nAssessment of serum miR‐10b expression levels Sample collection, total RNA extraction, and reverse transcription The blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C.\nThe blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C.\nQuantitative real‐time PCR (qPCR) Real‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control.\nAmplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls.\nReal‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control.\nAmplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls.\nAssay for serum levels of soluble E‐cadherin Serum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve.\nSerum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve.\nSample collection, total RNA extraction, and reverse transcription The blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C.\nThe blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C.\nQuantitative real‐time PCR (qPCR) Real‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control.\nAmplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls.\nReal‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control.\nAmplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls.\nAssay for serum levels of soluble E‐cadherin Serum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve.\nSerum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve.\nStatistical analysis Data were analyzed using SPSS software package version 20.0 (Armonk, NY‐IBM Corp). Qualitative data were compared using chi‐square test or Fisher exact test and were expressed as numbers and percent. Normally distributed quantitative data were compared using Student's t test and were expressed as mean and SD. Unusually distributed quantitative variables were compared using Mann‐Whitney U test. Receiver operating characteristic (ROC) curve was used to determine the diagnostic performance of the studied biomarkers. Statistical significance was set at p < 0.05.\nData were analyzed using SPSS software package version 20.0 (Armonk, NY‐IBM Corp). Qualitative data were compared using chi‐square test or Fisher exact test and were expressed as numbers and percent. Normally distributed quantitative data were compared using Student's t test and were expressed as mean and SD. Unusually distributed quantitative variables were compared using Mann‐Whitney U test. Receiver operating characteristic (ROC) curve was used to determine the diagnostic performance of the studied biomarkers. Statistical significance was set at p < 0.05.", "Sample collection, total RNA extraction, and reverse transcription The blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C.\nThe blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C.\nQuantitative real‐time PCR (qPCR) Real‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control.\nAmplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls.\nReal‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control.\nAmplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls.\nAssay for serum levels of soluble E‐cadherin Serum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve.\nSerum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve.", "The blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C.", "Real‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control.\nAmplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls.", "Serum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve.", "Data were analyzed using SPSS software package version 20.0 (Armonk, NY‐IBM Corp). Qualitative data were compared using chi‐square test or Fisher exact test and were expressed as numbers and percent. Normally distributed quantitative data were compared using Student's t test and were expressed as mean and SD. Unusually distributed quantitative variables were compared using Mann‐Whitney U test. Receiver operating characteristic (ROC) curve was used to determine the diagnostic performance of the studied biomarkers. Statistical significance was set at p < 0.05.", "The study included 61 female patients with BC with a mean age of 54.7 ± 14.1 years and 50 age‐matched healthy female volunteers. According to TNM‐staging system, most of BC patients (n = 32, 52.5%) were at stage II, 11 patients (18.0%) at stage III and 18 patients (29.5%) at stage IV. 18 out of 61 patients (29.5%) had distant metastasis and 14 out of all patients (25.5%) died during the period of the study, Table 1. All demographic and clinical data as regards age, family history, histological grading as well as hormone receptor status and molecular subtypes of BC are shown in Table 1.\nClinico‐pathological characteristics of the studied breast cancer patients (n = 61)\nQuantitative data were expressed using Mean ± SD.\np: p‐value for comparing between the studied groups\nAbbreviations: χ\n2, Chi‐square test; FE, Fisher exact; t, Student's t test.\nmiR‐10b relative expression level and serum sE‐cadherin level in breast cancer The BC patients showed significant up‐regulation in miR‐10b expression level (3.45 ± 3.0 fold change) compared to that of the control group (1.22 ± 1.40 fold change), (p = 0.004), Figure 1. Moreover, miR‐10b expression level was significantly higher in the patients with BC metastasis compared to those with non‐metastatic BC (5.6 ± 2.5 versus 3.0 ± 2.9 fold change) (p = 0.008), Figure 2. As regards serum sE‐cadherin level, it was significantly higher in BC patients compared to that of the control group, (1846.3 ± 312.3 ng/ml vs. 631.5 ± 63.2 ng/ml, p < 0.001), Table 2. Furthermore, it was significantly higher in the patients with BC metastasis compared to patients with non‐metastatic BC (2149.4 ± 291.5 ng/ml vs. 1719.4 ± 221.6 ng/ml), Table 2. No significant difference was observed between miR‐10b expression levels regarding the molecular subtypes of BC, Figure 3.\nComparison between BC patients and control subjects according to miRNA10b expression level in serum\nComparison between breast cancer patients (metastatic and non‐metastatic) and controls according to miRNA10b expression level in serum\nComparison between BC patients and controls according to serum soluble E‐cadherin expression level\nPairwise comparison bet. each 2 groups was done using post hoc test (Tukey) for ANOVA test. Means with common letters are not significant (ie, means with different letters are significant)\nAbbreviation: BC, breast cancer.\nFor comparing between total cases and control using student's t test.\nRelation between miRNA10b expression with molecular Subtypes (n = 61)\nSignificant higher miR‐10b expression level and serum sE‐cadherin level were observed when patients with HER2 positive were compared to those with HER2 negative (p = 0.001, p = 0.041, respectively), Figure 4A,B.\n(A) Relation between miRNA10b expression and HER2 status (n = 61). (B) Relation between sE‐cadherin and HER2 status (n = 61)\nOn comparing miR‐10b level between the different TNM stages in BC patients, a statistically significant difference was detected among stages II, III, and IV (p < 0.001). Applying post hoc test revealed a higher miR‐10b gene expression in advanced stages (III and IV) as compared to earlier ones (stage II), Figure 5.\nRelation between miRNA10b expression level with tumor stage (n = 61)\nThe BC patients showed significant up‐regulation in miR‐10b expression level (3.45 ± 3.0 fold change) compared to that of the control group (1.22 ± 1.40 fold change), (p = 0.004), Figure 1. Moreover, miR‐10b expression level was significantly higher in the patients with BC metastasis compared to those with non‐metastatic BC (5.6 ± 2.5 versus 3.0 ± 2.9 fold change) (p = 0.008), Figure 2. As regards serum sE‐cadherin level, it was significantly higher in BC patients compared to that of the control group, (1846.3 ± 312.3 ng/ml vs. 631.5 ± 63.2 ng/ml, p < 0.001), Table 2. Furthermore, it was significantly higher in the patients with BC metastasis compared to patients with non‐metastatic BC (2149.4 ± 291.5 ng/ml vs. 1719.4 ± 221.6 ng/ml), Table 2. No significant difference was observed between miR‐10b expression levels regarding the molecular subtypes of BC, Figure 3.\nComparison between BC patients and control subjects according to miRNA10b expression level in serum\nComparison between breast cancer patients (metastatic and non‐metastatic) and controls according to miRNA10b expression level in serum\nComparison between BC patients and controls according to serum soluble E‐cadherin expression level\nPairwise comparison bet. each 2 groups was done using post hoc test (Tukey) for ANOVA test. Means with common letters are not significant (ie, means with different letters are significant)\nAbbreviation: BC, breast cancer.\nFor comparing between total cases and control using student's t test.\nRelation between miRNA10b expression with molecular Subtypes (n = 61)\nSignificant higher miR‐10b expression level and serum sE‐cadherin level were observed when patients with HER2 positive were compared to those with HER2 negative (p = 0.001, p = 0.041, respectively), Figure 4A,B.\n(A) Relation between miRNA10b expression and HER2 status (n = 61). (B) Relation between sE‐cadherin and HER2 status (n = 61)\nOn comparing miR‐10b level between the different TNM stages in BC patients, a statistically significant difference was detected among stages II, III, and IV (p < 0.001). Applying post hoc test revealed a higher miR‐10b gene expression in advanced stages (III and IV) as compared to earlier ones (stage II), Figure 5.\nRelation between miRNA10b expression level with tumor stage (n = 61)\nCorrelation analysis of serum miR‐10b level and serum sE‐cadherin level with the tumor characteristics of breast cancer Furthermore, the association of the fold change of expression of miR‐10b and serum sE‐cadherin level with the tumor stage, tumor grade, tumor size, and lymphatic/vascular invasion were assessed. miR‐10b expression level demonstrated positive association with serum sE‐cadherin level, (r = 0.683, p < 0.001). In addition, both serum sE‐cadherin and circulating level of miR‐106b were found closely related to tumor size, tumor grade, and lymph node metastasis, Table 3.\nCorrelation between miRNA10b and tumor characteristics in BC patients (n = 61)\nAbbreviations: r, Pearson coefficient; r\ns, Spearman coefficient.\nStatistically significant at p ≤ 0.05.\nFurthermore, the association of the fold change of expression of miR‐10b and serum sE‐cadherin level with the tumor stage, tumor grade, tumor size, and lymphatic/vascular invasion were assessed. miR‐10b expression level demonstrated positive association with serum sE‐cadherin level, (r = 0.683, p < 0.001). In addition, both serum sE‐cadherin and circulating level of miR‐106b were found closely related to tumor size, tumor grade, and lymph node metastasis, Table 3.\nCorrelation between miRNA10b and tumor characteristics in BC patients (n = 61)\nAbbreviations: r, Pearson coefficient; r\ns, Spearman coefficient.\nStatistically significant at p ≤ 0.05.\nDiagnostic performance of serum miR‐10band serum sE‐cadherin levels The receiver operating characteristic curve (ROC) analysis showed that miR‐10b expression level in serum at a cutoff of >1.4 fold change could discriminate BC patients from control subjects with an area under the curve (AUC) 0.75, a sensitivity of 78.69%, a specificity of 77.08%, and a 95% confidence interval (CI) of (0.657–0.845), (p < 0.001), Figure 6A. Moreover, ROC analysis showed that miR‐10b expression level in serum at a cutoff of 7.14 fold change has a high ability to distinguish patients with BC metastasis from those without metastasis with an (AUC) 0.98, a sensitivity of 76.9%, a specificity of 97.9% and a 95% (CI) of (0.96–1.0), (p < 0.001), Figure 6B. Furthermore, ROC curve analysis for serum sE‐cadherin achieved an AUC of 0.82 at a cutoff of >1,780 ng/ml with a sensitivity of 76.9%, a specificity 70.8% and a 95% CI of (0.72–0.92), Figure 6C. While, combined use of both serum miR‐10b and sE‐cadherin revealed the highest sensitivity and specificity (92.9% and 97.9%, respectively) with an AUC of 0.98 and a 95% CI of (0.95–1.00), Figure 6D.\n(A) ROC curve for miRNA10b expression to diagnose BC patients (n = 61) from Control (n = 48). (B) ROC curve for miRNA10b expression to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages II and III). (C) ROC curve for sE‐cadherin to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III). (D) ROC curve for Combined (miRNA10b expression+sE‐cadherin) to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III)\nOur study concluded that BC with metastasis is clearly accompanied by over expression of serum miR‐10b and higher serum sE‐cadherin levels compared to BC without metastasis, which are in turn significantly associated with tumor stage and tumor size. This indicates that both miR‐10b and sE‐cadherin can be involved in the development and progression of breast cancer.\nThe receiver operating characteristic curve (ROC) analysis showed that miR‐10b expression level in serum at a cutoff of >1.4 fold change could discriminate BC patients from control subjects with an area under the curve (AUC) 0.75, a sensitivity of 78.69%, a specificity of 77.08%, and a 95% confidence interval (CI) of (0.657–0.845), (p < 0.001), Figure 6A. Moreover, ROC analysis showed that miR‐10b expression level in serum at a cutoff of 7.14 fold change has a high ability to distinguish patients with BC metastasis from those without metastasis with an (AUC) 0.98, a sensitivity of 76.9%, a specificity of 97.9% and a 95% (CI) of (0.96–1.0), (p < 0.001), Figure 6B. Furthermore, ROC curve analysis for serum sE‐cadherin achieved an AUC of 0.82 at a cutoff of >1,780 ng/ml with a sensitivity of 76.9%, a specificity 70.8% and a 95% CI of (0.72–0.92), Figure 6C. While, combined use of both serum miR‐10b and sE‐cadherin revealed the highest sensitivity and specificity (92.9% and 97.9%, respectively) with an AUC of 0.98 and a 95% CI of (0.95–1.00), Figure 6D.\n(A) ROC curve for miRNA10b expression to diagnose BC patients (n = 61) from Control (n = 48). (B) ROC curve for miRNA10b expression to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages II and III). (C) ROC curve for sE‐cadherin to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III). (D) ROC curve for Combined (miRNA10b expression+sE‐cadherin) to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III)\nOur study concluded that BC with metastasis is clearly accompanied by over expression of serum miR‐10b and higher serum sE‐cadherin levels compared to BC without metastasis, which are in turn significantly associated with tumor stage and tumor size. This indicates that both miR‐10b and sE‐cadherin can be involved in the development and progression of breast cancer.", "The BC patients showed significant up‐regulation in miR‐10b expression level (3.45 ± 3.0 fold change) compared to that of the control group (1.22 ± 1.40 fold change), (p = 0.004), Figure 1. Moreover, miR‐10b expression level was significantly higher in the patients with BC metastasis compared to those with non‐metastatic BC (5.6 ± 2.5 versus 3.0 ± 2.9 fold change) (p = 0.008), Figure 2. As regards serum sE‐cadherin level, it was significantly higher in BC patients compared to that of the control group, (1846.3 ± 312.3 ng/ml vs. 631.5 ± 63.2 ng/ml, p < 0.001), Table 2. Furthermore, it was significantly higher in the patients with BC metastasis compared to patients with non‐metastatic BC (2149.4 ± 291.5 ng/ml vs. 1719.4 ± 221.6 ng/ml), Table 2. No significant difference was observed between miR‐10b expression levels regarding the molecular subtypes of BC, Figure 3.\nComparison between BC patients and control subjects according to miRNA10b expression level in serum\nComparison between breast cancer patients (metastatic and non‐metastatic) and controls according to miRNA10b expression level in serum\nComparison between BC patients and controls according to serum soluble E‐cadherin expression level\nPairwise comparison bet. each 2 groups was done using post hoc test (Tukey) for ANOVA test. Means with common letters are not significant (ie, means with different letters are significant)\nAbbreviation: BC, breast cancer.\nFor comparing between total cases and control using student's t test.\nRelation between miRNA10b expression with molecular Subtypes (n = 61)\nSignificant higher miR‐10b expression level and serum sE‐cadherin level were observed when patients with HER2 positive were compared to those with HER2 negative (p = 0.001, p = 0.041, respectively), Figure 4A,B.\n(A) Relation between miRNA10b expression and HER2 status (n = 61). (B) Relation between sE‐cadherin and HER2 status (n = 61)\nOn comparing miR‐10b level between the different TNM stages in BC patients, a statistically significant difference was detected among stages II, III, and IV (p < 0.001). Applying post hoc test revealed a higher miR‐10b gene expression in advanced stages (III and IV) as compared to earlier ones (stage II), Figure 5.\nRelation between miRNA10b expression level with tumor stage (n = 61)", "Furthermore, the association of the fold change of expression of miR‐10b and serum sE‐cadherin level with the tumor stage, tumor grade, tumor size, and lymphatic/vascular invasion were assessed. miR‐10b expression level demonstrated positive association with serum sE‐cadherin level, (r = 0.683, p < 0.001). In addition, both serum sE‐cadherin and circulating level of miR‐106b were found closely related to tumor size, tumor grade, and lymph node metastasis, Table 3.\nCorrelation between miRNA10b and tumor characteristics in BC patients (n = 61)\nAbbreviations: r, Pearson coefficient; r\ns, Spearman coefficient.\nStatistically significant at p ≤ 0.05.", "The receiver operating characteristic curve (ROC) analysis showed that miR‐10b expression level in serum at a cutoff of >1.4 fold change could discriminate BC patients from control subjects with an area under the curve (AUC) 0.75, a sensitivity of 78.69%, a specificity of 77.08%, and a 95% confidence interval (CI) of (0.657–0.845), (p < 0.001), Figure 6A. Moreover, ROC analysis showed that miR‐10b expression level in serum at a cutoff of 7.14 fold change has a high ability to distinguish patients with BC metastasis from those without metastasis with an (AUC) 0.98, a sensitivity of 76.9%, a specificity of 97.9% and a 95% (CI) of (0.96–1.0), (p < 0.001), Figure 6B. Furthermore, ROC curve analysis for serum sE‐cadherin achieved an AUC of 0.82 at a cutoff of >1,780 ng/ml with a sensitivity of 76.9%, a specificity 70.8% and a 95% CI of (0.72–0.92), Figure 6C. While, combined use of both serum miR‐10b and sE‐cadherin revealed the highest sensitivity and specificity (92.9% and 97.9%, respectively) with an AUC of 0.98 and a 95% CI of (0.95–1.00), Figure 6D.\n(A) ROC curve for miRNA10b expression to diagnose BC patients (n = 61) from Control (n = 48). (B) ROC curve for miRNA10b expression to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages II and III). (C) ROC curve for sE‐cadherin to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III). (D) ROC curve for Combined (miRNA10b expression+sE‐cadherin) to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III)\nOur study concluded that BC with metastasis is clearly accompanied by over expression of serum miR‐10b and higher serum sE‐cadherin levels compared to BC without metastasis, which are in turn significantly associated with tumor stage and tumor size. This indicates that both miR‐10b and sE‐cadherin can be involved in the development and progression of breast cancer.", "Breast cancer is the second most common cause of deaths reported in women worldwide. Ninety percent of cancer‐related death is caused by metastasis, and therefore, there is a need to identify breast cancer patients at an early stage.24 Additionally, the existing diagnostic tools and biomarkers are not sensitive enough to detect every early metastasis in lymph nodes or other organs.25 MicroRNAs belong to a large group of non‐coding RNA molecules that regulate gene expression at post‐transcriptional level.26 Therefore, numerous studies have supported the promising role of candidate microRNAs in breast cancer diagnosis, prognosis and for monitoring response to anticancer therapy.27 Most studies conducted on miRNAs were tissue specimen based. In the previous few years, there has been a focus on the study of cell‐free circulating miRNAs as markers for different types of cancers due to the advantages of non‐invasiveness, as well as the benefits of stability and possible repeatability of sampling.28 Among the studied miRNAs is miR‐10b, one of the promising candidate microRNAs in BC diagnosis and prognosis and a biomarker of metastasis in a variety of malignancies.7\n\nIn this work, we found significant higher expression level of circulating miR‐10b in breast cancer patients (3.45 ± 3.0 fold change) compared to controls (1.22 ± 1.40 fold change). We analyzed the relation between expression of miR‐10b and the clinicopathological criteria of the studied patients, we found miR‐10b expression levels gradually upregulated with the tumor stage with significant higher levels in stage IV compared to earlier stages. There was also a significant relation with the positivity of axillary LNs, tumor size, tumor grade, and HER2 positivity.\nOur results agreed with, Khalighfard et al.29 who noted that the serum expression levels of the oncomiRs such as miR‐10b were significantly increased in BC patients compared with the healthy participants and significantly associated with TNM staging. Consistently, Zhang et al.30 found that the expression of miR‐10b in breast cancer tumor tissues gradually increased with different stages of cancer and found maximum level of miR‐10b expression at stage IV compared to stage I. Contrariwise, several studies of miR‐10b expression on tissue specimens observed decrease in its level in breast cancer cells compared to normal tissue.9, 31, 32\n\nThis apparent contradiction in the results of the studies conducted on tissue specimens and those conducted on cell‐free blood samples, like our study, could be explained by the fact that breast cancer cells secrete increased amounts of miRNAs compared to normal cells, and this is not accompanied by a parallel increase in intracellular levels, as most disease cell lines show diminished levels of intracellular miRNAs because they discharge miRNAs into extracellular vesicles.33 Furthermore, Chan et al.34 revealed that while miR‐10b was downregulated in tumor tissues in comparison with normal breast tissue, it showed overexpression in the corresponding serum specimens. They explained that by the presence of a subpopulation within the primary tumor over‐expressing miR‐10b and responsible for its shedding in the peripheral blood.\nThe present study revealed, also, a significant higher serum levels of miR‐10b in breast cancer patients with metastasis compared with those without metastasis. ROC analysis demonstrated that miR‐10b expression level at a cutoff of 7.14‐fold change has a high ability to distinguish patients with BC metastasis from those without metastasis with an area under the curve (AUC) of 0.98, a sensitivity of 76.9%, and a specificity of 97.9%.\nIn concordance with our results, the previous study that examined circulatory miR‐10b in breast cancer, performed by Chen et al.,35 showed that circulating miR‐10b was significantly over‐expressed in breast cancer patients with lymph node metastasis and could discriminate breast cancer patients with metastasis from those without metastasis with a the sensitivity of 71% and a specificity of 72%. Similarly, Zhao et al.36 showed that serum miR‐10b expression levels were significantly higher in BC patients with bone metastasis than those without metastasis. In addition, Roth et al.37 confirmed that expression of miR‐10b in serum correlated with the presence of overt metastasis.\nTo understand the role of miR‐10b in BC, the identification of critical miR‐10b targets is required. A number of conserved targets of miR10b in human genes were identified. Some of these target genes have a strong evidence for their involvement in the development of BC metastasis.38\n\nHomeobox D10 (HOXD10) is a known target of miR‐10b that demonstrated an inverse correlation with miR‐10b expression.9 In addition, it was found that TWIST‐1, the transcription factor, induces miR‐10b expression which in turn directly suppresses the translation of HOXD10.9 Consequently, the suppressed HOXD‐10 represses some genes such as RhoC, alpha‐3 integrin and matrix metalloproteinases that are involved in extracellular matrix remodeling, cell migration, and stimulation of the epithelial‐mesenchymal transition (EMT) process, which are the key for regulation of cancer metastases.9 E‐cadherin is another target of miR‐10b that serves a major role in controlling cell adhesion process and was found to be a tumor suppressor of BC invasion and metastasis.22\n\nOur data showed that serum levels of soluble E‐cad in breast cancer patients were significantly higher than those of the control group, (p < 0.001). Furthermore, it was significantly higher in the patients with BC metastasis compared to patients with non‐metastatic BC. ROC curve for the serum sE‐cad to differentiate breast cancer and control group achieved an AUC of 0.82 at a cutoff of >1780 ng/ml. In concordance with our results, Liang et al.16 found higher serum soluble E‐cad levels in BC patients than in healthy controls. Besides, they found a significant correlation between high serum sE‐cad level and tumor grade, TNM stage, and lymph node metastasis. In addition, Brouxhon et al.39 found an association between soluble sE‐cad with tumor growth and survival, as well as between its serum levels and the clinical response in cancer patients. Besides, it was found that during carcinogenesis, E‐cad, and other adhesion molecules are expected to play an important role in tumor invasion and metastasis.40, 41\n\nMoreover, when we tried to assess the association between serum miR10b and serum E‐cadherin, we found that miR‐10b was positively associated with serum E‐cadherin level, (r = 0.683, p < 0.001). In addition, both serum sE‐cadherin and circulating level of miR‐10b were found closely related to tumor size, tumor grade, and lymph node metastasis. ROC analysis revealed that combined use of both serum miR‐10b and sE‐cadherin revealed the highest sensitivity and specificity (92.9% and 97.9%, respectively) with an AUC of 0.98 for diagnosis of breast cancer metastasis.\nTo the best of our knowledge, we are the first to study the relationship between circulating miR10b and soluble E‐cadherin in serum of Egyptian breast cancer patients. Previous studies were performed in metastatic cells and tissues of breast cancer, in contrast to our results, they found a significant negative correlation between the levels of these two molecules in clinical samples of breast cancer tissues.22, 42, 43 Liu et al.,22 using metastatic breast cancer cells, have demonstrated that miR‐10b regulates E‐cadherin expression and that silencing of miR‐10b restores E‐cadherin expression. Zhang et al.42 have shown that the expression of E‐cadherin mRNA and protein were elevated in cells with miR‐10b suppression in non‐small cell lung cancer compared with controls. Similarly, Abdelmaksoud‐Dammak et al.43 demonstrated that E‐cadherin expression was inversely correlated with miR‐10b expression levels in colorectal cancer.\nThese contradictory findings may be explained by different sample type as we measured serum molecules. In addition, the increase in serum E‐cadherin levels in many cancer patients was found to be associated with a concomitant decrease in the level of full‐length E‐cad expression in tissues, so that it was considered that sE‐cadherin originates from the rapid turnover of tumor cells.40, 41 Consequently, it is possible that miR‐10 overexpression in breast cancer that occurs through genomic amplification, subsequently causes degradation of its target E‐cad mRNA, and subsequently increases its soluble fragment. Furthermore, as previously mentioned, the transcription factor Twist increases the expression of miR10b in BC cells, on the other hand, it is known to directly suppress the E‐cad expression in BC tissue. Therefore, Twist may control the E‐cad expression, either directly by transcriptional regulation of E‐cad, or indirectly by miR‐10b up‐regulation for E‐cad post‐transcriptional regulation.9, 44\n\nIn the recent years, the roles of miR‐10 in initiation and progression of tumor metastasis established its importance as a therapeutic target in cancer.45 Further studies on therapeutics based on miR‐10b inhibition will help to improve breast cancer management and reduce cancer‐related mortality. Interestingly, it was proved recently by Yooe et al.45 who aimed to develop therapeutics based on miR‐10b inhibition that MN‐anti‐miR10b affects the molecular processes mediated by E‐cadherin and greatly inhibited the tumor cells ability to migrate and invade the surrounding tissue through its effect on the transcription factors: HOXD10 and c‐JUN.\nBased on our results, we suggest the combined utilization of serum miR10b and sE‐cadherin as a serum non‐invasive biomarker during diagnosis and prognosis assessments of breast cancer patients. Specifically, we recommend their measurement as a practical tool to predict metastasis in breast cancer patients, which can affect the selection of treatment protocols." ]
[ null, null, null, null, null, null, null, "results", null, null, null, "discussion" ]
[ "breast cancer", "circulating miR‐10b", "non‐invasive biomarker", "soluble E‐cadherin", "TaqMan miRNA assay" ]
INTRODUCTION: Breast carcinoma is the most common malignancy among women worldwide. It causes more than 0.5 million deaths every year.1 Despite the advance in the current breast cancer (BC) therapies, metastasis is still the major cause of cancer‐related death in most BC patients.1 Almost 30% of patients diagnosed with early‐stage BC may develop distant metastasis months or even years later.2 So far, metastatic BC is an incurable disease and remains the critical challenge facing oncologists. The underlying molecular mechanism of BC metastasis is still incompletely understood. MicroRNAs (miRNAs) are a class of short single‐stranded cellular RNAs that are approximately between 18 and 25 nucleotides in length.3 They are important regulators of the expression of protein‐coding genes or long non‐coding RNAs (lncRNAs),4 by inhibiting target mRNA translation or by promoting target RNA degradation.3 Studies have shown that aberrant expression of miRNAs is associated with several types of human cancers, tumor invasiveness, and metastasis.5, 6 Several miRNAs were found to play a crucial role in tumor metastasis and recurrence, recently called MetastamiRs. Some of these miRNAs have been reported to be dysregulated in metastatic BC.7 The miR‐10 family of miRNAs consists of two members: miR‐10a and miR‐10b, which are located at chromosome 17 and 2, respectively.8 Among all identified miRNAs, miR‐10b was the first miRNA to be reported by Ma and his colleagues as a promoter for cancer metastasis.9 Later on, a number of studies showed that miR‐10b is highly expressed in metastatic cancer tissues, including pancreatic cancer,10 glioblastoma,11 gastric cancer,12 and recently metastatic colorectal cancer.13 Previous studies on BC showed that miR‐10b was over‐expressed in metastatic breast cancer tissue promoting tumor cell migration and invasion.7, 14 On contrary, other authors showed miR‐10b downregulation in primary breast tumors compared with normal breast tissue.15 However, both in vivo and in vitro studies suggest involvement of miR‐10b in BC invasiveness and metastasis and therefore is suggested to be a useful prognostic biomarker.16, 17 A better understanding of the role of circulating miR‐10b in metastasis will help in the development of miRNA‐based, anti‐metastasis targeted therapies. On the other hand, E‐cadherin (E‐cad) is one of the members of a family of transmembrane glycoproteins and a calcium‐dependent adhesion molecule. The soluble form of E‐cadherin (sE‐cadherin) is produced by the cleavage of the extracellular domain of the anchored protein (120 kDa), leading to the release of fragments of 80 kDa.18 Aberrant expression of E‐cadherin have been associated with the development of breast cancer metastases and other cancers.19 Although in vitro studies have proved an association between reduced E‐cadherin expression and tumor invasion, this association has not been confirmed in vivo yet.20 It has been postulated that E‐cadherin is one of the targets of miR‐10b through which it may exert its metastatic effect on breast cancer cell lines.21, 22 However, the exact mechanism of circulating miR‐10b involvement in the BC metastasis is still unclear. Based on the proven clinical relevance of miR‐10b to BC, the aim of this study was to investigate the circulating levels of miR‐10b and its target soluble E‐cadherin as a potentially easily accessible biomarkers that could be used in diagnosis, prognosis, and metastasis prediction of breast cancer in Egyptian female patients. SUBJECTS AND METHODS: Following approval of the Alexandria university committee of medical ethics (approval ID: 0302182), serum samples were obtained from 61 breast cancer patients before surgery at the Department of Surgery at the Medical Research Institute Hospital, Alexandria University. In addition to a group of 48 age and sex‐matched healthy volunteers served as a control group. A written informed consent was obtained from every subject, and the study was conducted in compliance with the Helsinki Declaration. Full history taking, thorough clinical examination and fine needle aspiration cytology (FNAC) or excision biopsy from the breast mass for pathological examination were done to all patients. Laboratory investigations including fasting blood sugar, kidney functions, liver functions, and tumor markers were done. In addition to radiological examination including ultrasound of both breasts, mammography, pelvic‐abdominal ultrasound, chest X‐ray, and bone scan. Postoperative pathology examination as well as hormonal Estrogen and progesterone receptors (ER & PR), and epidermal growth factor receptor 2(HER‐2) were done. Clinical staging was performed according to tumor‐node‐metastasis classification system (TNM). Serum miR‐10b expression and serum E‐cadherin levels were estimated for all patients and healthy controls. Assessment of serum miR‐10b expression levels Sample collection, total RNA extraction, and reverse transcription The blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C. The blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C. Quantitative real‐time PCR (qPCR) Real‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control. Amplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls. Real‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control. Amplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls. Assay for serum levels of soluble E‐cadherin Serum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve. Serum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve. Sample collection, total RNA extraction, and reverse transcription The blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C. The blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C. Quantitative real‐time PCR (qPCR) Real‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control. Amplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls. Real‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control. Amplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls. Assay for serum levels of soluble E‐cadherin Serum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve. Serum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve. Statistical analysis Data were analyzed using SPSS software package version 20.0 (Armonk, NY‐IBM Corp). Qualitative data were compared using chi‐square test or Fisher exact test and were expressed as numbers and percent. Normally distributed quantitative data were compared using Student's t test and were expressed as mean and SD. Unusually distributed quantitative variables were compared using Mann‐Whitney U test. Receiver operating characteristic (ROC) curve was used to determine the diagnostic performance of the studied biomarkers. Statistical significance was set at p < 0.05. Data were analyzed using SPSS software package version 20.0 (Armonk, NY‐IBM Corp). Qualitative data were compared using chi‐square test or Fisher exact test and were expressed as numbers and percent. Normally distributed quantitative data were compared using Student's t test and were expressed as mean and SD. Unusually distributed quantitative variables were compared using Mann‐Whitney U test. Receiver operating characteristic (ROC) curve was used to determine the diagnostic performance of the studied biomarkers. Statistical significance was set at p < 0.05. Assessment of serum miR‐10b expression levels: Sample collection, total RNA extraction, and reverse transcription The blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C. The blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C. Quantitative real‐time PCR (qPCR) Real‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control. Amplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls. Real‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control. Amplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls. Assay for serum levels of soluble E‐cadherin Serum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve. Serum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve. Sample collection, total RNA extraction, and reverse transcription: The blood samples were collected from all subjects in serum gel separator tubes. Each sample was centrifuged at 3,000 g for 10 min to separate serum and then stored at −80°C until RNA extraction. Total RNA containing small RNAs was isolated from 100 μl of serum using miRNeasy kit (cat. no. 217004; Qiagen, Hilden, Germany) according to the manufacturer's protocol. Then, 40 μl of RNase‐free water was used for RNA elution. NanoDrop 2000/2000c (Thermo Scientific, Wilmington, DA, USA) was used to check RNA quality and quantity. Complementary DNA (cDNA) was synthesized from RNA samples using TaqMan® MicroRNA Reverse Transcription Kit with miRNA primers specific for miR‐10b (ID: 002218) and miR‐16 (ID: 000391) (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Thermal profile was as follows: 16°C (30 min), 42°C (30 min), followed by 85°C for 5 min and a final hold at 4°C. Quantitative real‐time PCR (qPCR): Real‐time PCR was performed using Applied Biosystems Step One™ Real‐time PCR System, thermal cycler (Block, foster City, CA, USA) using TaqMan MicroRNA Assay reagents purchased from Applied Biosystems, CA. miRNA10b Assay (ID 002218) and miRNA16 Assay (ID 000391) which was used as an internal control. Amplification was carried out in a final volume of 20 µl including 2× TaqMan Universal Master Mix no AmpErase UNG, 20× TaqMan Assay for miR10b and RT product in a concentration of up to 10 ng per reaction. Thermal cycling conditions were as follow: an initial hold at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s (denaturation step) and 60°C for 1 min (annealing/extension). Comparative cycle threshold (2−ΔΔCt) method23 was used to calculate miR10b expression in serum samples normalized to miR16 expression23 and relative to healthy controls. Assay for serum levels of soluble E‐cadherin: Serum soluble E‐cad expression levels were estimated by enzyme‐linked immunosorbent assay (ELISA) technique using an immunoassay kit (Miltenyi, Germany) according to the manufacturer's instructions. The standard curve was established with OD as the Y axis and the concentration of standard substance as the X‐axis. The level of protein was obtained through the standard curve. Statistical analysis: Data were analyzed using SPSS software package version 20.0 (Armonk, NY‐IBM Corp). Qualitative data were compared using chi‐square test or Fisher exact test and were expressed as numbers and percent. Normally distributed quantitative data were compared using Student's t test and were expressed as mean and SD. Unusually distributed quantitative variables were compared using Mann‐Whitney U test. Receiver operating characteristic (ROC) curve was used to determine the diagnostic performance of the studied biomarkers. Statistical significance was set at p < 0.05. RESULTS: The study included 61 female patients with BC with a mean age of 54.7 ± 14.1 years and 50 age‐matched healthy female volunteers. According to TNM‐staging system, most of BC patients (n = 32, 52.5%) were at stage II, 11 patients (18.0%) at stage III and 18 patients (29.5%) at stage IV. 18 out of 61 patients (29.5%) had distant metastasis and 14 out of all patients (25.5%) died during the period of the study, Table 1. All demographic and clinical data as regards age, family history, histological grading as well as hormone receptor status and molecular subtypes of BC are shown in Table 1. Clinico‐pathological characteristics of the studied breast cancer patients (n = 61) Quantitative data were expressed using Mean ± SD. p: p‐value for comparing between the studied groups Abbreviations: χ 2, Chi‐square test; FE, Fisher exact; t, Student's t test. miR‐10b relative expression level and serum sE‐cadherin level in breast cancer The BC patients showed significant up‐regulation in miR‐10b expression level (3.45 ± 3.0 fold change) compared to that of the control group (1.22 ± 1.40 fold change), (p = 0.004), Figure 1. Moreover, miR‐10b expression level was significantly higher in the patients with BC metastasis compared to those with non‐metastatic BC (5.6 ± 2.5 versus 3.0 ± 2.9 fold change) (p = 0.008), Figure 2. As regards serum sE‐cadherin level, it was significantly higher in BC patients compared to that of the control group, (1846.3 ± 312.3 ng/ml vs. 631.5 ± 63.2 ng/ml, p < 0.001), Table 2. Furthermore, it was significantly higher in the patients with BC metastasis compared to patients with non‐metastatic BC (2149.4 ± 291.5 ng/ml vs. 1719.4 ± 221.6 ng/ml), Table 2. No significant difference was observed between miR‐10b expression levels regarding the molecular subtypes of BC, Figure 3. Comparison between BC patients and control subjects according to miRNA10b expression level in serum Comparison between breast cancer patients (metastatic and non‐metastatic) and controls according to miRNA10b expression level in serum Comparison between BC patients and controls according to serum soluble E‐cadherin expression level Pairwise comparison bet. each 2 groups was done using post hoc test (Tukey) for ANOVA test. Means with common letters are not significant (ie, means with different letters are significant) Abbreviation: BC, breast cancer. For comparing between total cases and control using student's t test. Relation between miRNA10b expression with molecular Subtypes (n = 61) Significant higher miR‐10b expression level and serum sE‐cadherin level were observed when patients with HER2 positive were compared to those with HER2 negative (p = 0.001, p = 0.041, respectively), Figure 4A,B. (A) Relation between miRNA10b expression and HER2 status (n = 61). (B) Relation between sE‐cadherin and HER2 status (n = 61) On comparing miR‐10b level between the different TNM stages in BC patients, a statistically significant difference was detected among stages II, III, and IV (p < 0.001). Applying post hoc test revealed a higher miR‐10b gene expression in advanced stages (III and IV) as compared to earlier ones (stage II), Figure 5. Relation between miRNA10b expression level with tumor stage (n = 61) The BC patients showed significant up‐regulation in miR‐10b expression level (3.45 ± 3.0 fold change) compared to that of the control group (1.22 ± 1.40 fold change), (p = 0.004), Figure 1. Moreover, miR‐10b expression level was significantly higher in the patients with BC metastasis compared to those with non‐metastatic BC (5.6 ± 2.5 versus 3.0 ± 2.9 fold change) (p = 0.008), Figure 2. As regards serum sE‐cadherin level, it was significantly higher in BC patients compared to that of the control group, (1846.3 ± 312.3 ng/ml vs. 631.5 ± 63.2 ng/ml, p < 0.001), Table 2. Furthermore, it was significantly higher in the patients with BC metastasis compared to patients with non‐metastatic BC (2149.4 ± 291.5 ng/ml vs. 1719.4 ± 221.6 ng/ml), Table 2. No significant difference was observed between miR‐10b expression levels regarding the molecular subtypes of BC, Figure 3. Comparison between BC patients and control subjects according to miRNA10b expression level in serum Comparison between breast cancer patients (metastatic and non‐metastatic) and controls according to miRNA10b expression level in serum Comparison between BC patients and controls according to serum soluble E‐cadherin expression level Pairwise comparison bet. each 2 groups was done using post hoc test (Tukey) for ANOVA test. Means with common letters are not significant (ie, means with different letters are significant) Abbreviation: BC, breast cancer. For comparing between total cases and control using student's t test. Relation between miRNA10b expression with molecular Subtypes (n = 61) Significant higher miR‐10b expression level and serum sE‐cadherin level were observed when patients with HER2 positive were compared to those with HER2 negative (p = 0.001, p = 0.041, respectively), Figure 4A,B. (A) Relation between miRNA10b expression and HER2 status (n = 61). (B) Relation between sE‐cadherin and HER2 status (n = 61) On comparing miR‐10b level between the different TNM stages in BC patients, a statistically significant difference was detected among stages II, III, and IV (p < 0.001). Applying post hoc test revealed a higher miR‐10b gene expression in advanced stages (III and IV) as compared to earlier ones (stage II), Figure 5. Relation between miRNA10b expression level with tumor stage (n = 61) Correlation analysis of serum miR‐10b level and serum sE‐cadherin level with the tumor characteristics of breast cancer Furthermore, the association of the fold change of expression of miR‐10b and serum sE‐cadherin level with the tumor stage, tumor grade, tumor size, and lymphatic/vascular invasion were assessed. miR‐10b expression level demonstrated positive association with serum sE‐cadherin level, (r = 0.683, p < 0.001). In addition, both serum sE‐cadherin and circulating level of miR‐106b were found closely related to tumor size, tumor grade, and lymph node metastasis, Table 3. Correlation between miRNA10b and tumor characteristics in BC patients (n = 61) Abbreviations: r, Pearson coefficient; r s, Spearman coefficient. Statistically significant at p ≤ 0.05. Furthermore, the association of the fold change of expression of miR‐10b and serum sE‐cadherin level with the tumor stage, tumor grade, tumor size, and lymphatic/vascular invasion were assessed. miR‐10b expression level demonstrated positive association with serum sE‐cadherin level, (r = 0.683, p < 0.001). In addition, both serum sE‐cadherin and circulating level of miR‐106b were found closely related to tumor size, tumor grade, and lymph node metastasis, Table 3. Correlation between miRNA10b and tumor characteristics in BC patients (n = 61) Abbreviations: r, Pearson coefficient; r s, Spearman coefficient. Statistically significant at p ≤ 0.05. Diagnostic performance of serum miR‐10band serum sE‐cadherin levels The receiver operating characteristic curve (ROC) analysis showed that miR‐10b expression level in serum at a cutoff of >1.4 fold change could discriminate BC patients from control subjects with an area under the curve (AUC) 0.75, a sensitivity of 78.69%, a specificity of 77.08%, and a 95% confidence interval (CI) of (0.657–0.845), (p < 0.001), Figure 6A. Moreover, ROC analysis showed that miR‐10b expression level in serum at a cutoff of 7.14 fold change has a high ability to distinguish patients with BC metastasis from those without metastasis with an (AUC) 0.98, a sensitivity of 76.9%, a specificity of 97.9% and a 95% (CI) of (0.96–1.0), (p < 0.001), Figure 6B. Furthermore, ROC curve analysis for serum sE‐cadherin achieved an AUC of 0.82 at a cutoff of >1,780 ng/ml with a sensitivity of 76.9%, a specificity 70.8% and a 95% CI of (0.72–0.92), Figure 6C. While, combined use of both serum miR‐10b and sE‐cadherin revealed the highest sensitivity and specificity (92.9% and 97.9%, respectively) with an AUC of 0.98 and a 95% CI of (0.95–1.00), Figure 6D. (A) ROC curve for miRNA10b expression to diagnose BC patients (n = 61) from Control (n = 48). (B) ROC curve for miRNA10b expression to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages II and III). (C) ROC curve for sE‐cadherin to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III). (D) ROC curve for Combined (miRNA10b expression+sE‐cadherin) to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III) Our study concluded that BC with metastasis is clearly accompanied by over expression of serum miR‐10b and higher serum sE‐cadherin levels compared to BC without metastasis, which are in turn significantly associated with tumor stage and tumor size. This indicates that both miR‐10b and sE‐cadherin can be involved in the development and progression of breast cancer. The receiver operating characteristic curve (ROC) analysis showed that miR‐10b expression level in serum at a cutoff of >1.4 fold change could discriminate BC patients from control subjects with an area under the curve (AUC) 0.75, a sensitivity of 78.69%, a specificity of 77.08%, and a 95% confidence interval (CI) of (0.657–0.845), (p < 0.001), Figure 6A. Moreover, ROC analysis showed that miR‐10b expression level in serum at a cutoff of 7.14 fold change has a high ability to distinguish patients with BC metastasis from those without metastasis with an (AUC) 0.98, a sensitivity of 76.9%, a specificity of 97.9% and a 95% (CI) of (0.96–1.0), (p < 0.001), Figure 6B. Furthermore, ROC curve analysis for serum sE‐cadherin achieved an AUC of 0.82 at a cutoff of >1,780 ng/ml with a sensitivity of 76.9%, a specificity 70.8% and a 95% CI of (0.72–0.92), Figure 6C. While, combined use of both serum miR‐10b and sE‐cadherin revealed the highest sensitivity and specificity (92.9% and 97.9%, respectively) with an AUC of 0.98 and a 95% CI of (0.95–1.00), Figure 6D. (A) ROC curve for miRNA10b expression to diagnose BC patients (n = 61) from Control (n = 48). (B) ROC curve for miRNA10b expression to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages II and III). (C) ROC curve for sE‐cadherin to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III). (D) ROC curve for Combined (miRNA10b expression+sE‐cadherin) to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III) Our study concluded that BC with metastasis is clearly accompanied by over expression of serum miR‐10b and higher serum sE‐cadherin levels compared to BC without metastasis, which are in turn significantly associated with tumor stage and tumor size. This indicates that both miR‐10b and sE‐cadherin can be involved in the development and progression of breast cancer. miR‐10b relative expression level and serum sE‐cadherin level in breast cancer: The BC patients showed significant up‐regulation in miR‐10b expression level (3.45 ± 3.0 fold change) compared to that of the control group (1.22 ± 1.40 fold change), (p = 0.004), Figure 1. Moreover, miR‐10b expression level was significantly higher in the patients with BC metastasis compared to those with non‐metastatic BC (5.6 ± 2.5 versus 3.0 ± 2.9 fold change) (p = 0.008), Figure 2. As regards serum sE‐cadherin level, it was significantly higher in BC patients compared to that of the control group, (1846.3 ± 312.3 ng/ml vs. 631.5 ± 63.2 ng/ml, p < 0.001), Table 2. Furthermore, it was significantly higher in the patients with BC metastasis compared to patients with non‐metastatic BC (2149.4 ± 291.5 ng/ml vs. 1719.4 ± 221.6 ng/ml), Table 2. No significant difference was observed between miR‐10b expression levels regarding the molecular subtypes of BC, Figure 3. Comparison between BC patients and control subjects according to miRNA10b expression level in serum Comparison between breast cancer patients (metastatic and non‐metastatic) and controls according to miRNA10b expression level in serum Comparison between BC patients and controls according to serum soluble E‐cadherin expression level Pairwise comparison bet. each 2 groups was done using post hoc test (Tukey) for ANOVA test. Means with common letters are not significant (ie, means with different letters are significant) Abbreviation: BC, breast cancer. For comparing between total cases and control using student's t test. Relation between miRNA10b expression with molecular Subtypes (n = 61) Significant higher miR‐10b expression level and serum sE‐cadherin level were observed when patients with HER2 positive were compared to those with HER2 negative (p = 0.001, p = 0.041, respectively), Figure 4A,B. (A) Relation between miRNA10b expression and HER2 status (n = 61). (B) Relation between sE‐cadherin and HER2 status (n = 61) On comparing miR‐10b level between the different TNM stages in BC patients, a statistically significant difference was detected among stages II, III, and IV (p < 0.001). Applying post hoc test revealed a higher miR‐10b gene expression in advanced stages (III and IV) as compared to earlier ones (stage II), Figure 5. Relation between miRNA10b expression level with tumor stage (n = 61) Correlation analysis of serum miR‐10b level and serum sE‐cadherin level with the tumor characteristics of breast cancer: Furthermore, the association of the fold change of expression of miR‐10b and serum sE‐cadherin level with the tumor stage, tumor grade, tumor size, and lymphatic/vascular invasion were assessed. miR‐10b expression level demonstrated positive association with serum sE‐cadherin level, (r = 0.683, p < 0.001). In addition, both serum sE‐cadherin and circulating level of miR‐106b were found closely related to tumor size, tumor grade, and lymph node metastasis, Table 3. Correlation between miRNA10b and tumor characteristics in BC patients (n = 61) Abbreviations: r, Pearson coefficient; r s, Spearman coefficient. Statistically significant at p ≤ 0.05. Diagnostic performance of serum miR‐10band serum sE‐cadherin levels: The receiver operating characteristic curve (ROC) analysis showed that miR‐10b expression level in serum at a cutoff of >1.4 fold change could discriminate BC patients from control subjects with an area under the curve (AUC) 0.75, a sensitivity of 78.69%, a specificity of 77.08%, and a 95% confidence interval (CI) of (0.657–0.845), (p < 0.001), Figure 6A. Moreover, ROC analysis showed that miR‐10b expression level in serum at a cutoff of 7.14 fold change has a high ability to distinguish patients with BC metastasis from those without metastasis with an (AUC) 0.98, a sensitivity of 76.9%, a specificity of 97.9% and a 95% (CI) of (0.96–1.0), (p < 0.001), Figure 6B. Furthermore, ROC curve analysis for serum sE‐cadherin achieved an AUC of 0.82 at a cutoff of >1,780 ng/ml with a sensitivity of 76.9%, a specificity 70.8% and a 95% CI of (0.72–0.92), Figure 6C. While, combined use of both serum miR‐10b and sE‐cadherin revealed the highest sensitivity and specificity (92.9% and 97.9%, respectively) with an AUC of 0.98 and a 95% CI of (0.95–1.00), Figure 6D. (A) ROC curve for miRNA10b expression to diagnose BC patients (n = 61) from Control (n = 48). (B) ROC curve for miRNA10b expression to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages II and III). (C) ROC curve for sE‐cadherin to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III). (D) ROC curve for Combined (miRNA10b expression+sE‐cadherin) to diagnose metastatic BC patients (stage IV) from non‐metastatic BC patients (stages I, II, and III) Our study concluded that BC with metastasis is clearly accompanied by over expression of serum miR‐10b and higher serum sE‐cadherin levels compared to BC without metastasis, which are in turn significantly associated with tumor stage and tumor size. This indicates that both miR‐10b and sE‐cadherin can be involved in the development and progression of breast cancer. DISCUSSION: Breast cancer is the second most common cause of deaths reported in women worldwide. Ninety percent of cancer‐related death is caused by metastasis, and therefore, there is a need to identify breast cancer patients at an early stage.24 Additionally, the existing diagnostic tools and biomarkers are not sensitive enough to detect every early metastasis in lymph nodes or other organs.25 MicroRNAs belong to a large group of non‐coding RNA molecules that regulate gene expression at post‐transcriptional level.26 Therefore, numerous studies have supported the promising role of candidate microRNAs in breast cancer diagnosis, prognosis and for monitoring response to anticancer therapy.27 Most studies conducted on miRNAs were tissue specimen based. In the previous few years, there has been a focus on the study of cell‐free circulating miRNAs as markers for different types of cancers due to the advantages of non‐invasiveness, as well as the benefits of stability and possible repeatability of sampling.28 Among the studied miRNAs is miR‐10b, one of the promising candidate microRNAs in BC diagnosis and prognosis and a biomarker of metastasis in a variety of malignancies.7 In this work, we found significant higher expression level of circulating miR‐10b in breast cancer patients (3.45 ± 3.0 fold change) compared to controls (1.22 ± 1.40 fold change). We analyzed the relation between expression of miR‐10b and the clinicopathological criteria of the studied patients, we found miR‐10b expression levels gradually upregulated with the tumor stage with significant higher levels in stage IV compared to earlier stages. There was also a significant relation with the positivity of axillary LNs, tumor size, tumor grade, and HER2 positivity. Our results agreed with, Khalighfard et al.29 who noted that the serum expression levels of the oncomiRs such as miR‐10b were significantly increased in BC patients compared with the healthy participants and significantly associated with TNM staging. Consistently, Zhang et al.30 found that the expression of miR‐10b in breast cancer tumor tissues gradually increased with different stages of cancer and found maximum level of miR‐10b expression at stage IV compared to stage I. Contrariwise, several studies of miR‐10b expression on tissue specimens observed decrease in its level in breast cancer cells compared to normal tissue.9, 31, 32 This apparent contradiction in the results of the studies conducted on tissue specimens and those conducted on cell‐free blood samples, like our study, could be explained by the fact that breast cancer cells secrete increased amounts of miRNAs compared to normal cells, and this is not accompanied by a parallel increase in intracellular levels, as most disease cell lines show diminished levels of intracellular miRNAs because they discharge miRNAs into extracellular vesicles.33 Furthermore, Chan et al.34 revealed that while miR‐10b was downregulated in tumor tissues in comparison with normal breast tissue, it showed overexpression in the corresponding serum specimens. They explained that by the presence of a subpopulation within the primary tumor over‐expressing miR‐10b and responsible for its shedding in the peripheral blood. The present study revealed, also, a significant higher serum levels of miR‐10b in breast cancer patients with metastasis compared with those without metastasis. ROC analysis demonstrated that miR‐10b expression level at a cutoff of 7.14‐fold change has a high ability to distinguish patients with BC metastasis from those without metastasis with an area under the curve (AUC) of 0.98, a sensitivity of 76.9%, and a specificity of 97.9%. In concordance with our results, the previous study that examined circulatory miR‐10b in breast cancer, performed by Chen et al.,35 showed that circulating miR‐10b was significantly over‐expressed in breast cancer patients with lymph node metastasis and could discriminate breast cancer patients with metastasis from those without metastasis with a the sensitivity of 71% and a specificity of 72%. Similarly, Zhao et al.36 showed that serum miR‐10b expression levels were significantly higher in BC patients with bone metastasis than those without metastasis. In addition, Roth et al.37 confirmed that expression of miR‐10b in serum correlated with the presence of overt metastasis. To understand the role of miR‐10b in BC, the identification of critical miR‐10b targets is required. A number of conserved targets of miR10b in human genes were identified. Some of these target genes have a strong evidence for their involvement in the development of BC metastasis.38 Homeobox D10 (HOXD10) is a known target of miR‐10b that demonstrated an inverse correlation with miR‐10b expression.9 In addition, it was found that TWIST‐1, the transcription factor, induces miR‐10b expression which in turn directly suppresses the translation of HOXD10.9 Consequently, the suppressed HOXD‐10 represses some genes such as RhoC, alpha‐3 integrin and matrix metalloproteinases that are involved in extracellular matrix remodeling, cell migration, and stimulation of the epithelial‐mesenchymal transition (EMT) process, which are the key for regulation of cancer metastases.9 E‐cadherin is another target of miR‐10b that serves a major role in controlling cell adhesion process and was found to be a tumor suppressor of BC invasion and metastasis.22 Our data showed that serum levels of soluble E‐cad in breast cancer patients were significantly higher than those of the control group, (p < 0.001). Furthermore, it was significantly higher in the patients with BC metastasis compared to patients with non‐metastatic BC. ROC curve for the serum sE‐cad to differentiate breast cancer and control group achieved an AUC of 0.82 at a cutoff of >1780 ng/ml. In concordance with our results, Liang et al.16 found higher serum soluble E‐cad levels in BC patients than in healthy controls. Besides, they found a significant correlation between high serum sE‐cad level and tumor grade, TNM stage, and lymph node metastasis. In addition, Brouxhon et al.39 found an association between soluble sE‐cad with tumor growth and survival, as well as between its serum levels and the clinical response in cancer patients. Besides, it was found that during carcinogenesis, E‐cad, and other adhesion molecules are expected to play an important role in tumor invasion and metastasis.40, 41 Moreover, when we tried to assess the association between serum miR10b and serum E‐cadherin, we found that miR‐10b was positively associated with serum E‐cadherin level, (r = 0.683, p < 0.001). In addition, both serum sE‐cadherin and circulating level of miR‐10b were found closely related to tumor size, tumor grade, and lymph node metastasis. ROC analysis revealed that combined use of both serum miR‐10b and sE‐cadherin revealed the highest sensitivity and specificity (92.9% and 97.9%, respectively) with an AUC of 0.98 for diagnosis of breast cancer metastasis. To the best of our knowledge, we are the first to study the relationship between circulating miR10b and soluble E‐cadherin in serum of Egyptian breast cancer patients. Previous studies were performed in metastatic cells and tissues of breast cancer, in contrast to our results, they found a significant negative correlation between the levels of these two molecules in clinical samples of breast cancer tissues.22, 42, 43 Liu et al.,22 using metastatic breast cancer cells, have demonstrated that miR‐10b regulates E‐cadherin expression and that silencing of miR‐10b restores E‐cadherin expression. Zhang et al.42 have shown that the expression of E‐cadherin mRNA and protein were elevated in cells with miR‐10b suppression in non‐small cell lung cancer compared with controls. Similarly, Abdelmaksoud‐Dammak et al.43 demonstrated that E‐cadherin expression was inversely correlated with miR‐10b expression levels in colorectal cancer. These contradictory findings may be explained by different sample type as we measured serum molecules. In addition, the increase in serum E‐cadherin levels in many cancer patients was found to be associated with a concomitant decrease in the level of full‐length E‐cad expression in tissues, so that it was considered that sE‐cadherin originates from the rapid turnover of tumor cells.40, 41 Consequently, it is possible that miR‐10 overexpression in breast cancer that occurs through genomic amplification, subsequently causes degradation of its target E‐cad mRNA, and subsequently increases its soluble fragment. Furthermore, as previously mentioned, the transcription factor Twist increases the expression of miR10b in BC cells, on the other hand, it is known to directly suppress the E‐cad expression in BC tissue. Therefore, Twist may control the E‐cad expression, either directly by transcriptional regulation of E‐cad, or indirectly by miR‐10b up‐regulation for E‐cad post‐transcriptional regulation.9, 44 In the recent years, the roles of miR‐10 in initiation and progression of tumor metastasis established its importance as a therapeutic target in cancer.45 Further studies on therapeutics based on miR‐10b inhibition will help to improve breast cancer management and reduce cancer‐related mortality. Interestingly, it was proved recently by Yooe et al.45 who aimed to develop therapeutics based on miR‐10b inhibition that MN‐anti‐miR10b affects the molecular processes mediated by E‐cadherin and greatly inhibited the tumor cells ability to migrate and invade the surrounding tissue through its effect on the transcription factors: HOXD10 and c‐JUN. Based on our results, we suggest the combined utilization of serum miR10b and sE‐cadherin as a serum non‐invasive biomarker during diagnosis and prognosis assessments of breast cancer patients. Specifically, we recommend their measurement as a practical tool to predict metastasis in breast cancer patients, which can affect the selection of treatment protocols.
Background: Breast cancer (BC) is the leading cause of cancer death in women worldwide. Most BC studies on candidate microRNAs were tissue specimen based. Recently, there has been a focus on the study of cell-free circulating miRNAs as promising biomarkers in (BC) diagnosis and prognosis. Therefore, we aimed to investigate the circulating levels of miR-10b and its target soluble E- cadherin as potentially easily accessible biomarkers for breast cancer. Methods: Sixty-one breast cancer patients and forty-eight age- and sex-matched healthy volunteers serving as a control group were enrolled in the present study. Serum samples were used to assess miRNA10b expression by TaqMan miRNA assay technique. In addition, soluble E-cadherin expression level in serum was determined using ELISA technique. Results: Circulating miR-10b expression level and serum sE-cadherin was significantly upregulated in patients with BC compared to controls. Moreover, serum miR-10b displayed progressive up-regulation in advanced stages with higher level in metastatic compared to non-metastatic BC. Additionally, the combined use of both serum miR-10b and sE-cadherin revealed the highest sensitivity and specificity for detection of BC metastasis (92.9% and 97.9% respectively) with an area under curve (AUC) of 0.98, 95% CI (0.958-1.00). Conclusions: Our data suggest that circulating miR-10b could be utilized as a potential non-invasive serum biomarker for diagnosis and prognosis of breast cancer with better performance to predict BC metastasis achieved on measuring it simultaneously with serum sE-cadherin. Further studies with a large cohort of patients are warranted to validate the serum biomarker for breast cancer management.
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9,463
313
[ 580, 2251, 918, 205, 177, 63, 95, 500, 133, 423 ]
12
[ "serum", "mir", "expression", "mir 10b", "10b", "bc", "patients", "level", "cadherin", "cancer" ]
[ "micrornas bc", "candidate micrornas breast", "mir 10b metastasis", "breast cancer mir", "invasiveness metastasis mirnas" ]
null
null
null
[CONTENT] breast cancer | circulating miR‐10b | non‐invasive biomarker | soluble E‐cadherin | TaqMan miRNA assay [SUMMARY]
null
[CONTENT] breast cancer | circulating miR‐10b | non‐invasive biomarker | soluble E‐cadherin | TaqMan miRNA assay [SUMMARY]
null
[CONTENT] breast cancer | circulating miR‐10b | non‐invasive biomarker | soluble E‐cadherin | TaqMan miRNA assay [SUMMARY]
null
[CONTENT] Adult | Aged | Antigens, CD | Biomarkers, Tumor | Breast Neoplasms | Cadherins | Case-Control Studies | Circulating MicroRNA | Female | Gene Expression Regulation, Neoplastic | Humans | Membrane Glycoproteins | Middle Aged | Prognosis | ROC Curve | Receptors, Immunologic | Sensitivity and Specificity [SUMMARY]
null
[CONTENT] Adult | Aged | Antigens, CD | Biomarkers, Tumor | Breast Neoplasms | Cadherins | Case-Control Studies | Circulating MicroRNA | Female | Gene Expression Regulation, Neoplastic | Humans | Membrane Glycoproteins | Middle Aged | Prognosis | ROC Curve | Receptors, Immunologic | Sensitivity and Specificity [SUMMARY]
null
[CONTENT] Adult | Aged | Antigens, CD | Biomarkers, Tumor | Breast Neoplasms | Cadherins | Case-Control Studies | Circulating MicroRNA | Female | Gene Expression Regulation, Neoplastic | Humans | Membrane Glycoproteins | Middle Aged | Prognosis | ROC Curve | Receptors, Immunologic | Sensitivity and Specificity [SUMMARY]
null
[CONTENT] micrornas bc | candidate micrornas breast | mir 10b metastasis | breast cancer mir | invasiveness metastasis mirnas [SUMMARY]
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[CONTENT] micrornas bc | candidate micrornas breast | mir 10b metastasis | breast cancer mir | invasiveness metastasis mirnas [SUMMARY]
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[CONTENT] micrornas bc | candidate micrornas breast | mir 10b metastasis | breast cancer mir | invasiveness metastasis mirnas [SUMMARY]
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[CONTENT] serum | mir | expression | mir 10b | 10b | bc | patients | level | cadherin | cancer [SUMMARY]
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[CONTENT] serum | mir | expression | mir 10b | 10b | bc | patients | level | cadherin | cancer [SUMMARY]
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[CONTENT] serum | mir | expression | mir 10b | 10b | bc | patients | level | cadherin | cancer [SUMMARY]
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[CONTENT] cancer | mir | metastasis | bc | mirnas | 10b | mir 10b | breast | studies | metastatic [SUMMARY]
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[CONTENT] bc | patients | level | bc patients | expression | se cadherin | se | cadherin | figure | mir [SUMMARY]
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[CONTENT] bc | mir | serum | patients | expression | mir 10b | 10b | level | min | cadherin [SUMMARY]
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[CONTENT] BC ||| BC ||| BC ||| [SUMMARY]
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[CONTENT] BC ||| BC ||| BC | 92.9% | 97.9% | 0.98 | 95% | CI | 0.958-1.00 [SUMMARY]
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[CONTENT] BC ||| BC ||| BC ||| ||| Sixty-one | forty-eight ||| TaqMan miRNA ||| ELISA ||| BC ||| BC ||| BC | 92.9% | 97.9% | 0.98 | 95% | CI | 0.958-1.00 ||| BC ||| [SUMMARY]
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Predicting Postoperative Complications and Long-Term Survival After Lung Cancer Surgery Using Eurolung Risk Score.
35132842
This study aimed to assess the clinical relevance of the parsimonious Eurolung risk scoring system for predicting postoperative morbidity, mortality, and long-term survival in Korean patients with surgically resected non-small cell lung cancer.
BACKGROUND
This retrospective analysis used the data of patients who underwent anatomical resection for non-small cell lung cancer between 2004 and 2018 at a single institution. The parsimonious aggregate Eurolung score was calculated for each patient. The Cox regression model was used to determine the ability of the Eurolung scoring system for predicting long-term outcomes.
METHODS
Of the 7,278 patients in the study, cardiopulmonary complications and mortality occurred in 687 (9.4%) and 53 (0.7%) patients, respectively. The rate of cardiopulmonary complications and mortality gradually increased with the increase in the Eurolung risk scores (all P < 0.001). When risk scores were grouped into four categories, the Eurolung scoring system showed a stepwise deterioration of overall survival with the increase in risk scores, and this association was statistically significant (P < 0.001). Multivariate Cox analysis showed that the Eurolung scoring system, classified into four categories, was a significant prognostic factor of overall survival even after adjusting for covariates such as tumor histology and pathological stage (P < 0.001).
RESULTS
Stratification based on the parsimonious Eurolung scoring system showed good discriminatory ability for predicting postoperative morbidity, mortality, and long-term survival in South Korean patients with surgically resected non-small cell lung cancer. This might help clinicians to provide a detailed prognosis and decide the appropriate treatment option for high-risk patients with non-small cell lung cancer.
CONCLUSION
[ "Aged", "Female", "Forecasting", "Humans", "Lung Neoplasms", "Male", "Postoperative Complications", "Retrospective Studies", "Risk Factors", "Survival Analysis" ]
8822110
INTRODUCTION
Despite continuous advances in diagnosis and treatment, lung cancer remains the most frequent cause of cancer-related deaths worldwide.1 In Korea, the mean age of patients undergoing surgery for lung cancer has increased gradually, and the number of comorbidities per patient has also increased.2 The proportion of patients with stage I cancer is more than 50% among those undergoing surgery for non-small cell lung cancer (NSCLC), and this proportion is still increasing.2 Considering the alternatives to surgery such as stereotactic body radiation therapy in high-risk patients, the importance of accurate prediction of the surgery-related morbidity and mortality is increasing. In 2016, Eurolung risk models were developed to predict the risk of cardiopulmonary morbidity and mortality after surgery for NSCLC. These were based on the European Society of Thoracic Surgeons (ESTS) database comprising 48,000 patients.3 However, the disadvantage of these models was the need for numerous variables to calculate the risk; hence, their clinical utility was limited. To resolve this problem, the ESTS group recently created the parsimonious Eurolung risk models using simplified variables.4 Furthermore, these models have been reported to have significant reliability in predicting long-term survival outcomes.5 However, the limitation of these models is that they were developed based on the data of the European population and were externally validated on the same population. Thus, it is essential to perform an external validation of these models among other populations of different races, such as Asians. In this study, we sought to evaluate the clinical relevance of the parsimonious Eurolung risk scores in a Korean population with surgically resected NSCLC and to assess their utility as predictive indicators for the prognosis.
METHODS
Patients We enrolled patients who underwent pulmonary resection for primary NSCLC at the Asan Medical Center, Seoul, Korea, between January 2004 and December 2018. Patients who underwent wedge resection or surgery for diagnostic intent were excluded from the study. In addition, patients who received neoadjuvant therapy, which is thought to have different risks related to surgery, were excluded. Patients with any other concurrent malignancy were also excluded when analyzing the long-term survival outcomes. The pathological staging of NSCLC was based on the recommendations by the 8th edition American Joint Committee on Cancer in a retrospective manner.6 Tumor histology was categorized according to the World Health Organization classification.7 Lobectomy with systematic lymph node dissection was adopted as a standard procedure for primary lung cancer; however, segmentectomy was performed in some old patients and those with borderline lung function and early-stage adenocarcinoma. Surgical resection was performed in patients with clinical stage I–IIIA, including N2 node metastasis. All patients were followed up either until death or the last follow-up date of the study (March 1, 2021). Follow-up information of all the patients was obtained from the notes of the clinical follow-up, which was conducted every 3–6 months during the first 2 years after surgery and every 6–12 months thereafter. Chest computed tomography scans were performed at the time of clinical visits or at any time when disease recurrence was suspected. Treatment modalities and chemotherapeutic regimens in cases with relapse were determined at the discretion of the attending physician. We enrolled patients who underwent pulmonary resection for primary NSCLC at the Asan Medical Center, Seoul, Korea, between January 2004 and December 2018. Patients who underwent wedge resection or surgery for diagnostic intent were excluded from the study. In addition, patients who received neoadjuvant therapy, which is thought to have different risks related to surgery, were excluded. Patients with any other concurrent malignancy were also excluded when analyzing the long-term survival outcomes. The pathological staging of NSCLC was based on the recommendations by the 8th edition American Joint Committee on Cancer in a retrospective manner.6 Tumor histology was categorized according to the World Health Organization classification.7 Lobectomy with systematic lymph node dissection was adopted as a standard procedure for primary lung cancer; however, segmentectomy was performed in some old patients and those with borderline lung function and early-stage adenocarcinoma. Surgical resection was performed in patients with clinical stage I–IIIA, including N2 node metastasis. All patients were followed up either until death or the last follow-up date of the study (March 1, 2021). Follow-up information of all the patients was obtained from the notes of the clinical follow-up, which was conducted every 3–6 months during the first 2 years after surgery and every 6–12 months thereafter. Chest computed tomography scans were performed at the time of clinical visits or at any time when disease recurrence was suspected. Treatment modalities and chemotherapeutic regimens in cases with relapse were determined at the discretion of the attending physician. Definitions The residual pulmonary function was estimated as follows: it is assumed that the lungs in a normal individual have a total of 19 segments (right upper lobe: 3, right middle lobe: 2, right lower lobe: 5, left upper lobe: 3, lingula: 2, lower left lobe: 4 segments), each contributing equally to ventilation that is 1/19 (nineteenth part).8 Thus, the predicted postoperative forced expiratory volume in 1 second (ppoFEV1) and diffusing capacity of carbon monoxide (DLCO) were calculated as follows: preoperative FEV1 or DLCO × (19 segments – the number of segments to be removed during the surgery) ÷ 19. Cardiopulmonary complications fundamentally complied with the terminology of the ESTS and Society of Thoracic Surgeons, which included the following: prolonged air leak (lasting more than 7 days), airway stenosis, atelectasis, pneumonia, acute respiratory distress syndrome, bronchopleural fistula, pulmonary embolism, pulmonary edema, respiratory failure requiring reintubation, empyema, recurrent laryngeal nerve palsy, phrenic nerve palsy, chylothorax, postoperative bleeding, atrial arrhythmia, myocardial infarction, stroke, and acute renal failure.49 Extended resection was defined as follows: 1) chest wall resection, 2) Pancoast tumors, 3) resection of the atrium, superior vena cava, aorta, diaphragm, or vertebra, 4) bronchial sleeve resection, 5) pleuropneumonectomy, 6) sleeve pneumonectomies, or 7) intrapericardial pneumonectomy. Mortality was defined as death within 30 days after surgery or death occurring at any time during the same hospital stay. The overall survival (OS) was calculated as the time interval between the date of surgery and the date of death, which was determined by reviewing the patient records from the Korean National Security Death Index Database. Aggregate Eurolung1 (morbidity) and Eurolung2 (mortality) scoring systems were developed by assigning proportional weightages of the predictors estimates, which are listed in the Eurolung model,4 assigned a value of 1 to the smallest coefficient. Thus, the Eurolung1 score was calculated as a sum of the points based on the following variables: 1 point for age > 70 years and ppoFEV1 < 70%; 1.5 points for male sex and extended resection; and 2 points for open surgery (as opposed to minimally invasive surgery) (Table 1). For the Eurolung2 system, age > 70 years and ppoFEV1 < 70% were assigned 1 point; male sex, open surgery (as opposed to minimally invasive surgery), and body mass index (BMI) < 18.5 kg/m2 were assigned 2.5 points; and pneumonectomy was assigned 3 points (Table 1). BMI = body mass index, ppoFEV1 = predicted postoperative forced expiratory volume in 1second, VATS = video-assisted thoracic surgery. The residual pulmonary function was estimated as follows: it is assumed that the lungs in a normal individual have a total of 19 segments (right upper lobe: 3, right middle lobe: 2, right lower lobe: 5, left upper lobe: 3, lingula: 2, lower left lobe: 4 segments), each contributing equally to ventilation that is 1/19 (nineteenth part).8 Thus, the predicted postoperative forced expiratory volume in 1 second (ppoFEV1) and diffusing capacity of carbon monoxide (DLCO) were calculated as follows: preoperative FEV1 or DLCO × (19 segments – the number of segments to be removed during the surgery) ÷ 19. Cardiopulmonary complications fundamentally complied with the terminology of the ESTS and Society of Thoracic Surgeons, which included the following: prolonged air leak (lasting more than 7 days), airway stenosis, atelectasis, pneumonia, acute respiratory distress syndrome, bronchopleural fistula, pulmonary embolism, pulmonary edema, respiratory failure requiring reintubation, empyema, recurrent laryngeal nerve palsy, phrenic nerve palsy, chylothorax, postoperative bleeding, atrial arrhythmia, myocardial infarction, stroke, and acute renal failure.49 Extended resection was defined as follows: 1) chest wall resection, 2) Pancoast tumors, 3) resection of the atrium, superior vena cava, aorta, diaphragm, or vertebra, 4) bronchial sleeve resection, 5) pleuropneumonectomy, 6) sleeve pneumonectomies, or 7) intrapericardial pneumonectomy. Mortality was defined as death within 30 days after surgery or death occurring at any time during the same hospital stay. The overall survival (OS) was calculated as the time interval between the date of surgery and the date of death, which was determined by reviewing the patient records from the Korean National Security Death Index Database. Aggregate Eurolung1 (morbidity) and Eurolung2 (mortality) scoring systems were developed by assigning proportional weightages of the predictors estimates, which are listed in the Eurolung model,4 assigned a value of 1 to the smallest coefficient. Thus, the Eurolung1 score was calculated as a sum of the points based on the following variables: 1 point for age > 70 years and ppoFEV1 < 70%; 1.5 points for male sex and extended resection; and 2 points for open surgery (as opposed to minimally invasive surgery) (Table 1). For the Eurolung2 system, age > 70 years and ppoFEV1 < 70% were assigned 1 point; male sex, open surgery (as opposed to minimally invasive surgery), and body mass index (BMI) < 18.5 kg/m2 were assigned 2.5 points; and pneumonectomy was assigned 3 points (Table 1). BMI = body mass index, ppoFEV1 = predicted postoperative forced expiratory volume in 1second, VATS = video-assisted thoracic surgery. Statistical analyses Continuous variables are presented as means and standard deviations, and categorical variables are presented as frequencies and percentages. The normality of individual distributions of the parameters was assessed using the Shapiro–Wilk test. Student’s t-test or the Wilcoxon rank-sum test was used for the comparison of continuous variables between the two groups, and the χ2 test or Fisher’s exact test was used for categorical variables between the two groups. The area under the receiver operating characteristic curve (AUC) is presented as a statistical indicator for quantifying the discrimination ability of the scoring system. The Hosmer–Lemeshow test for the goodness-of-fit was used for calibration of the logistic regression model. To determine the long-term prognostic ability of the Eurolung2 scoring system, we conducted a survival analysis of patients who underwent complete resection for stage I, II, and III NSCLC. The Kaplan-Meier method was used to analyse OS, and their differences were assessed using the log-rank test. For multiple comparisons of the survival curves (≥ 3 curves), Bonferroni correction was applied to calculate the P values in the log-rank test. A Cox proportional-hazards model was used for the univariate and multivariate analyses to identify the prognostic ability of the Eurolung2 scoring system. All statistical calculations were performed with R, version 4.0.2 (The R Foundation for Statistical Computing, Vienna, Austria), using the Survival, ggplot2, GGally, survminer, and rms packages. P < 0.05 was considered significant. Continuous variables are presented as means and standard deviations, and categorical variables are presented as frequencies and percentages. The normality of individual distributions of the parameters was assessed using the Shapiro–Wilk test. Student’s t-test or the Wilcoxon rank-sum test was used for the comparison of continuous variables between the two groups, and the χ2 test or Fisher’s exact test was used for categorical variables between the two groups. The area under the receiver operating characteristic curve (AUC) is presented as a statistical indicator for quantifying the discrimination ability of the scoring system. The Hosmer–Lemeshow test for the goodness-of-fit was used for calibration of the logistic regression model. To determine the long-term prognostic ability of the Eurolung2 scoring system, we conducted a survival analysis of patients who underwent complete resection for stage I, II, and III NSCLC. The Kaplan-Meier method was used to analyse OS, and their differences were assessed using the log-rank test. For multiple comparisons of the survival curves (≥ 3 curves), Bonferroni correction was applied to calculate the P values in the log-rank test. A Cox proportional-hazards model was used for the univariate and multivariate analyses to identify the prognostic ability of the Eurolung2 scoring system. All statistical calculations were performed with R, version 4.0.2 (The R Foundation for Statistical Computing, Vienna, Austria), using the Survival, ggplot2, GGally, survminer, and rms packages. P < 0.05 was considered significant. Ethics statement This retrospective study was approved by the Asan Medical Center Ethics Committee/Review Board, and this center waived the need for informed consent (approval No. 2021-0544). This retrospective study was approved by the Asan Medical Center Ethics Committee/Review Board, and this center waived the need for informed consent (approval No. 2021-0544).
RESULTS
Patient characteristics The median follow-up period was 53.6 ± 35.9 months. The clinicopathological characteristics of the patients are summarized in Table 2. A total of 7,278 patients were enrolled in this study. There were 1,531 (21.0%) patients aged > 70 years and 159 (2.2%) patients with BMI < 18.5 kg/m2. In addition, 3,659 patients had ppoFEV1 < 70%. Lobectomy was performed in 5,957 patients (81.8%), and video-assisted thoracoscopic surgery was performed in 4,646 patients (63.8%). In terms of the pathological stage, there were 3,999 (54.9%), 1,554 (21.4%), 1,560 (21.4%), and 159 (2.2%) patients with stage I, II, III, and IV disease, respectively. Values are presented as numbers (%) or means ± standard deviations, unless otherwise indicated. BMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, FEV1 = forced expiratory volume in 1 second, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, DLCO = diffusing capacity of carbon monoxide, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery. The median follow-up period was 53.6 ± 35.9 months. The clinicopathological characteristics of the patients are summarized in Table 2. A total of 7,278 patients were enrolled in this study. There were 1,531 (21.0%) patients aged > 70 years and 159 (2.2%) patients with BMI < 18.5 kg/m2. In addition, 3,659 patients had ppoFEV1 < 70%. Lobectomy was performed in 5,957 patients (81.8%), and video-assisted thoracoscopic surgery was performed in 4,646 patients (63.8%). In terms of the pathological stage, there were 3,999 (54.9%), 1,554 (21.4%), 1,560 (21.4%), and 159 (2.2%) patients with stage I, II, III, and IV disease, respectively. Values are presented as numbers (%) or means ± standard deviations, unless otherwise indicated. BMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, FEV1 = forced expiratory volume in 1 second, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, DLCO = diffusing capacity of carbon monoxide, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery. Short-term outcomes Regarding cardiopulmonary complications, 687 (9.4%) patients had a cardiopulmonary event regardless of event grade, the details of which are summarized in Supplementary Table 1. Fifty-three (0.7%) patients died within 30 days after surgery or at any time during the same hospital stay. The rate of cardiopulmonary complications gradually increased with the increase in the Eurolung1 risk score (P < 0.001) (Fig. 1A). A similar trend was observed in the mortality rate (P < 0.001) (Fig. 1B). The AUC was 0.623 and 0.815 for the Eurolung1 and Eurolung2 scores, respectively (Fig. 2). The Hosmer–Lemeshow tests of the two models were not significant (P = 0.442 for the Eurolung1 and 0.390 for the Eurolung2 scoring system). Regarding cardiopulmonary complications, 687 (9.4%) patients had a cardiopulmonary event regardless of event grade, the details of which are summarized in Supplementary Table 1. Fifty-three (0.7%) patients died within 30 days after surgery or at any time during the same hospital stay. The rate of cardiopulmonary complications gradually increased with the increase in the Eurolung1 risk score (P < 0.001) (Fig. 1A). A similar trend was observed in the mortality rate (P < 0.001) (Fig. 1B). The AUC was 0.623 and 0.815 for the Eurolung1 and Eurolung2 scores, respectively (Fig. 2). The Hosmer–Lemeshow tests of the two models were not significant (P = 0.442 for the Eurolung1 and 0.390 for the Eurolung2 scoring system). Long-term outcomes According to the Kaplan-Meier estimates, survival curves stratified by the Eurolung2 scoring system showed a stepwise deterioration of OS with the increase in risk scores (Fig. 3A). When the risk scores were grouped into four categories, each group had a significantly different prognosis (Fig. 3B). Subgroup analyses were performed for four categories of the Eurolung2 scoring system in patients with stage I, II, and III NSCLC (Fig. 4). Although the difference in survival between the patients with scores 3–5 and 5.5–6.5 was not significant in stages II and III, the Eurolung2 risk scoring system still showed a favorable discrimination ability in all the stages. In accordance with the Cox proportional hazard analysis, the Eurolung2 scoring system, classified into four categories, was found to be a significant prognostic factor for OS even after adjusting for confounders such as tumor histology and pathological stage in patients who underwent complete resection (P < 0.001) (Table 3). In addition, the higher the risk score, the higher was the hazard ratio, indicating a gradual deterioration in the prognosis with an increase in the risk score (Table 3). OR = odds ratio, CI = confidence interval, BMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery. According to the Kaplan-Meier estimates, survival curves stratified by the Eurolung2 scoring system showed a stepwise deterioration of OS with the increase in risk scores (Fig. 3A). When the risk scores were grouped into four categories, each group had a significantly different prognosis (Fig. 3B). Subgroup analyses were performed for four categories of the Eurolung2 scoring system in patients with stage I, II, and III NSCLC (Fig. 4). Although the difference in survival between the patients with scores 3–5 and 5.5–6.5 was not significant in stages II and III, the Eurolung2 risk scoring system still showed a favorable discrimination ability in all the stages. In accordance with the Cox proportional hazard analysis, the Eurolung2 scoring system, classified into four categories, was found to be a significant prognostic factor for OS even after adjusting for confounders such as tumor histology and pathological stage in patients who underwent complete resection (P < 0.001) (Table 3). In addition, the higher the risk score, the higher was the hazard ratio, indicating a gradual deterioration in the prognosis with an increase in the risk score (Table 3). OR = odds ratio, CI = confidence interval, BMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery.
null
null
[ "Patients", "Definitions", "Statistical analyses", "Ethics statement", "Patient characteristics", "Short-term outcomes", "Long-term outcomes" ]
[ "We enrolled patients who underwent pulmonary resection for primary NSCLC at the Asan Medical Center, Seoul, Korea, between January 2004 and December 2018. Patients who underwent wedge resection or surgery for diagnostic intent were excluded from the study. In addition, patients who received neoadjuvant therapy, which is thought to have different risks related to surgery, were excluded. Patients with any other concurrent malignancy were also excluded when analyzing the long-term survival outcomes. The pathological staging of NSCLC was based on the recommendations by the 8th edition American Joint Committee on Cancer in a retrospective manner.6 Tumor histology was categorized according to the World Health Organization classification.7 Lobectomy with systematic lymph node dissection was adopted as a standard procedure for primary lung cancer; however, segmentectomy was performed in some old patients and those with borderline lung function and early-stage adenocarcinoma. Surgical resection was performed in patients with clinical stage I–IIIA, including N2 node metastasis. All patients were followed up either until death or the last follow-up date of the study (March 1, 2021).\nFollow-up information of all the patients was obtained from the notes of the clinical follow-up, which was conducted every 3–6 months during the first 2 years after surgery and every 6–12 months thereafter. Chest computed tomography scans were performed at the time of clinical visits or at any time when disease recurrence was suspected. Treatment modalities and chemotherapeutic regimens in cases with relapse were determined at the discretion of the attending physician.", "The residual pulmonary function was estimated as follows: it is assumed that the lungs in a normal individual have a total of 19 segments (right upper lobe: 3, right middle lobe: 2, right lower lobe: 5, left upper lobe: 3, lingula: 2, lower left lobe: 4 segments), each contributing equally to ventilation that is 1/19 (nineteenth part).8 Thus, the predicted postoperative forced expiratory volume in 1 second (ppoFEV1) and diffusing capacity of carbon monoxide (DLCO) were calculated as follows: preoperative FEV1 or DLCO × (19 segments – the number of segments to be removed during the surgery) ÷ 19. Cardiopulmonary complications fundamentally complied with the terminology of the ESTS and Society of Thoracic Surgeons, which included the following: prolonged air leak (lasting more than 7 days), airway stenosis, atelectasis, pneumonia, acute respiratory distress syndrome, bronchopleural fistula, pulmonary embolism, pulmonary edema, respiratory failure requiring reintubation, empyema, recurrent laryngeal nerve palsy, phrenic nerve palsy, chylothorax, postoperative bleeding, atrial arrhythmia, myocardial infarction, stroke, and acute renal failure.49 Extended resection was defined as follows: 1) chest wall resection, 2) Pancoast tumors, 3) resection of the atrium, superior vena cava, aorta, diaphragm, or vertebra, 4) bronchial sleeve resection, 5) pleuropneumonectomy, 6) sleeve pneumonectomies, or 7) intrapericardial pneumonectomy. Mortality was defined as death within 30 days after surgery or death occurring at any time during the same hospital stay. The overall survival (OS) was calculated as the time interval between the date of surgery and the date of death, which was determined by reviewing the patient records from the Korean National Security Death Index Database. Aggregate Eurolung1 (morbidity) and Eurolung2 (mortality) scoring systems were developed by assigning proportional weightages of the predictors estimates, which are listed in the Eurolung model,4 assigned a value of 1 to the smallest coefficient. Thus, the Eurolung1 score was calculated as a sum of the points based on the following variables: 1 point for age > 70 years and ppoFEV1 < 70%; 1.5 points for male sex and extended resection; and 2 points for open surgery (as opposed to minimally invasive surgery) (Table 1). For the Eurolung2 system, age > 70 years and ppoFEV1 < 70% were assigned 1 point; male sex, open surgery (as opposed to minimally invasive surgery), and body mass index (BMI) < 18.5 kg/m2 were assigned 2.5 points; and pneumonectomy was assigned 3 points (Table 1).\nBMI = body mass index, ppoFEV1 = predicted postoperative forced expiratory volume in 1second, VATS = video-assisted thoracic surgery.", "Continuous variables are presented as means and standard deviations, and categorical variables are presented as frequencies and percentages. The normality of individual distributions of the parameters was assessed using the Shapiro–Wilk test. Student’s t-test or the Wilcoxon rank-sum test was used for the comparison of continuous variables between the two groups, and the χ2 test or Fisher’s exact test was used for categorical variables between the two groups. The area under the receiver operating characteristic curve (AUC) is presented as a statistical indicator for quantifying the discrimination ability of the scoring system. The Hosmer–Lemeshow test for the goodness-of-fit was used for calibration of the logistic regression model.\nTo determine the long-term prognostic ability of the Eurolung2 scoring system, we conducted a survival analysis of patients who underwent complete resection for stage I, II, and III NSCLC. The Kaplan-Meier method was used to analyse OS, and their differences were assessed using the log-rank test. For multiple comparisons of the survival curves (≥ 3 curves), Bonferroni correction was applied to calculate the P values in the log-rank test. A Cox proportional-hazards model was used for the univariate and multivariate analyses to identify the prognostic ability of the Eurolung2 scoring system.\nAll statistical calculations were performed with R, version 4.0.2 (The R Foundation for Statistical Computing, Vienna, Austria), using the Survival, ggplot2, GGally, survminer, and rms packages. P < 0.05 was considered significant.", "This retrospective study was approved by the Asan Medical Center Ethics Committee/Review Board, and this center waived the need for informed consent (approval No. 2021-0544).", "The median follow-up period was 53.6 ± 35.9 months. The clinicopathological characteristics of the patients are summarized in Table 2. A total of 7,278 patients were enrolled in this study. There were 1,531 (21.0%) patients aged > 70 years and 159 (2.2%) patients with BMI < 18.5 kg/m2. In addition, 3,659 patients had ppoFEV1 < 70%. Lobectomy was performed in 5,957 patients (81.8%), and video-assisted thoracoscopic surgery was performed in 4,646 patients (63.8%). In terms of the pathological stage, there were 3,999 (54.9%), 1,554 (21.4%), 1,560 (21.4%), and 159 (2.2%) patients with stage I, II, III, and IV disease, respectively.\nValues are presented as numbers (%) or means ± standard deviations, unless otherwise indicated.\nBMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, FEV1 = forced expiratory volume in 1 second, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, DLCO = diffusing capacity of carbon monoxide, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery.", "Regarding cardiopulmonary complications, 687 (9.4%) patients had a cardiopulmonary event regardless of event grade, the details of which are summarized in Supplementary Table 1. Fifty-three (0.7%) patients died within 30 days after surgery or at any time during the same hospital stay. The rate of cardiopulmonary complications gradually increased with the increase in the Eurolung1 risk score (P < 0.001) (Fig. 1A). A similar trend was observed in the mortality rate (P < 0.001) (Fig. 1B). The AUC was 0.623 and 0.815 for the Eurolung1 and Eurolung2 scores, respectively (Fig. 2). The Hosmer–Lemeshow tests of the two models were not significant (P = 0.442 for the Eurolung1 and 0.390 for the Eurolung2 scoring system).", "According to the Kaplan-Meier estimates, survival curves stratified by the Eurolung2 scoring system showed a stepwise deterioration of OS with the increase in risk scores (Fig. 3A). When the risk scores were grouped into four categories, each group had a significantly different prognosis (Fig. 3B). Subgroup analyses were performed for four categories of the Eurolung2 scoring system in patients with stage I, II, and III NSCLC (Fig. 4). Although the difference in survival between the patients with scores 3–5 and 5.5–6.5 was not significant in stages II and III, the Eurolung2 risk scoring system still showed a favorable discrimination ability in all the stages.\nIn accordance with the Cox proportional hazard analysis, the Eurolung2 scoring system, classified into four categories, was found to be a significant prognostic factor for OS even after adjusting for confounders such as tumor histology and pathological stage in patients who underwent complete resection (P < 0.001) (Table 3). In addition, the higher the risk score, the higher was the hazard ratio, indicating a gradual deterioration in the prognosis with an increase in the risk score (Table 3).\nOR = odds ratio, CI = confidence interval, BMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery." ]
[ null, null, null, null, null, null, null ]
[ "INTRODUCTION", "METHODS", "Patients", "Definitions", "Statistical analyses", "Ethics statement", "RESULTS", "Patient characteristics", "Short-term outcomes", "Long-term outcomes", "DISCUSSION" ]
[ "Despite continuous advances in diagnosis and treatment, lung cancer remains the most frequent cause of cancer-related deaths worldwide.1 In Korea, the mean age of patients undergoing surgery for lung cancer has increased gradually, and the number of comorbidities per patient has also increased.2 The proportion of patients with stage I cancer is more than 50% among those undergoing surgery for non-small cell lung cancer (NSCLC), and this proportion is still increasing.2 Considering the alternatives to surgery such as stereotactic body radiation therapy in high-risk patients, the importance of accurate prediction of the surgery-related morbidity and mortality is increasing.\nIn 2016, Eurolung risk models were developed to predict the risk of cardiopulmonary morbidity and mortality after surgery for NSCLC. These were based on the European Society of Thoracic Surgeons (ESTS) database comprising 48,000 patients.3 However, the disadvantage of these models was the need for numerous variables to calculate the risk; hence, their clinical utility was limited. To resolve this problem, the ESTS group recently created the parsimonious Eurolung risk models using simplified variables.4 Furthermore, these models have been reported to have significant reliability in predicting long-term survival outcomes.5 However, the limitation of these models is that they were developed based on the data of the European population and were externally validated on the same population. Thus, it is essential to perform an external validation of these models among other populations of different races, such as Asians.\nIn this study, we sought to evaluate the clinical relevance of the parsimonious Eurolung risk scores in a Korean population with surgically resected NSCLC and to assess their utility as predictive indicators for the prognosis.", "Patients We enrolled patients who underwent pulmonary resection for primary NSCLC at the Asan Medical Center, Seoul, Korea, between January 2004 and December 2018. Patients who underwent wedge resection or surgery for diagnostic intent were excluded from the study. In addition, patients who received neoadjuvant therapy, which is thought to have different risks related to surgery, were excluded. Patients with any other concurrent malignancy were also excluded when analyzing the long-term survival outcomes. The pathological staging of NSCLC was based on the recommendations by the 8th edition American Joint Committee on Cancer in a retrospective manner.6 Tumor histology was categorized according to the World Health Organization classification.7 Lobectomy with systematic lymph node dissection was adopted as a standard procedure for primary lung cancer; however, segmentectomy was performed in some old patients and those with borderline lung function and early-stage adenocarcinoma. Surgical resection was performed in patients with clinical stage I–IIIA, including N2 node metastasis. All patients were followed up either until death or the last follow-up date of the study (March 1, 2021).\nFollow-up information of all the patients was obtained from the notes of the clinical follow-up, which was conducted every 3–6 months during the first 2 years after surgery and every 6–12 months thereafter. Chest computed tomography scans were performed at the time of clinical visits or at any time when disease recurrence was suspected. Treatment modalities and chemotherapeutic regimens in cases with relapse were determined at the discretion of the attending physician.\nWe enrolled patients who underwent pulmonary resection for primary NSCLC at the Asan Medical Center, Seoul, Korea, between January 2004 and December 2018. Patients who underwent wedge resection or surgery for diagnostic intent were excluded from the study. In addition, patients who received neoadjuvant therapy, which is thought to have different risks related to surgery, were excluded. Patients with any other concurrent malignancy were also excluded when analyzing the long-term survival outcomes. The pathological staging of NSCLC was based on the recommendations by the 8th edition American Joint Committee on Cancer in a retrospective manner.6 Tumor histology was categorized according to the World Health Organization classification.7 Lobectomy with systematic lymph node dissection was adopted as a standard procedure for primary lung cancer; however, segmentectomy was performed in some old patients and those with borderline lung function and early-stage adenocarcinoma. Surgical resection was performed in patients with clinical stage I–IIIA, including N2 node metastasis. All patients were followed up either until death or the last follow-up date of the study (March 1, 2021).\nFollow-up information of all the patients was obtained from the notes of the clinical follow-up, which was conducted every 3–6 months during the first 2 years after surgery and every 6–12 months thereafter. Chest computed tomography scans were performed at the time of clinical visits or at any time when disease recurrence was suspected. Treatment modalities and chemotherapeutic regimens in cases with relapse were determined at the discretion of the attending physician.\nDefinitions The residual pulmonary function was estimated as follows: it is assumed that the lungs in a normal individual have a total of 19 segments (right upper lobe: 3, right middle lobe: 2, right lower lobe: 5, left upper lobe: 3, lingula: 2, lower left lobe: 4 segments), each contributing equally to ventilation that is 1/19 (nineteenth part).8 Thus, the predicted postoperative forced expiratory volume in 1 second (ppoFEV1) and diffusing capacity of carbon monoxide (DLCO) were calculated as follows: preoperative FEV1 or DLCO × (19 segments – the number of segments to be removed during the surgery) ÷ 19. Cardiopulmonary complications fundamentally complied with the terminology of the ESTS and Society of Thoracic Surgeons, which included the following: prolonged air leak (lasting more than 7 days), airway stenosis, atelectasis, pneumonia, acute respiratory distress syndrome, bronchopleural fistula, pulmonary embolism, pulmonary edema, respiratory failure requiring reintubation, empyema, recurrent laryngeal nerve palsy, phrenic nerve palsy, chylothorax, postoperative bleeding, atrial arrhythmia, myocardial infarction, stroke, and acute renal failure.49 Extended resection was defined as follows: 1) chest wall resection, 2) Pancoast tumors, 3) resection of the atrium, superior vena cava, aorta, diaphragm, or vertebra, 4) bronchial sleeve resection, 5) pleuropneumonectomy, 6) sleeve pneumonectomies, or 7) intrapericardial pneumonectomy. Mortality was defined as death within 30 days after surgery or death occurring at any time during the same hospital stay. The overall survival (OS) was calculated as the time interval between the date of surgery and the date of death, which was determined by reviewing the patient records from the Korean National Security Death Index Database. Aggregate Eurolung1 (morbidity) and Eurolung2 (mortality) scoring systems were developed by assigning proportional weightages of the predictors estimates, which are listed in the Eurolung model,4 assigned a value of 1 to the smallest coefficient. Thus, the Eurolung1 score was calculated as a sum of the points based on the following variables: 1 point for age > 70 years and ppoFEV1 < 70%; 1.5 points for male sex and extended resection; and 2 points for open surgery (as opposed to minimally invasive surgery) (Table 1). For the Eurolung2 system, age > 70 years and ppoFEV1 < 70% were assigned 1 point; male sex, open surgery (as opposed to minimally invasive surgery), and body mass index (BMI) < 18.5 kg/m2 were assigned 2.5 points; and pneumonectomy was assigned 3 points (Table 1).\nBMI = body mass index, ppoFEV1 = predicted postoperative forced expiratory volume in 1second, VATS = video-assisted thoracic surgery.\nThe residual pulmonary function was estimated as follows: it is assumed that the lungs in a normal individual have a total of 19 segments (right upper lobe: 3, right middle lobe: 2, right lower lobe: 5, left upper lobe: 3, lingula: 2, lower left lobe: 4 segments), each contributing equally to ventilation that is 1/19 (nineteenth part).8 Thus, the predicted postoperative forced expiratory volume in 1 second (ppoFEV1) and diffusing capacity of carbon monoxide (DLCO) were calculated as follows: preoperative FEV1 or DLCO × (19 segments – the number of segments to be removed during the surgery) ÷ 19. Cardiopulmonary complications fundamentally complied with the terminology of the ESTS and Society of Thoracic Surgeons, which included the following: prolonged air leak (lasting more than 7 days), airway stenosis, atelectasis, pneumonia, acute respiratory distress syndrome, bronchopleural fistula, pulmonary embolism, pulmonary edema, respiratory failure requiring reintubation, empyema, recurrent laryngeal nerve palsy, phrenic nerve palsy, chylothorax, postoperative bleeding, atrial arrhythmia, myocardial infarction, stroke, and acute renal failure.49 Extended resection was defined as follows: 1) chest wall resection, 2) Pancoast tumors, 3) resection of the atrium, superior vena cava, aorta, diaphragm, or vertebra, 4) bronchial sleeve resection, 5) pleuropneumonectomy, 6) sleeve pneumonectomies, or 7) intrapericardial pneumonectomy. Mortality was defined as death within 30 days after surgery or death occurring at any time during the same hospital stay. The overall survival (OS) was calculated as the time interval between the date of surgery and the date of death, which was determined by reviewing the patient records from the Korean National Security Death Index Database. Aggregate Eurolung1 (morbidity) and Eurolung2 (mortality) scoring systems were developed by assigning proportional weightages of the predictors estimates, which are listed in the Eurolung model,4 assigned a value of 1 to the smallest coefficient. Thus, the Eurolung1 score was calculated as a sum of the points based on the following variables: 1 point for age > 70 years and ppoFEV1 < 70%; 1.5 points for male sex and extended resection; and 2 points for open surgery (as opposed to minimally invasive surgery) (Table 1). For the Eurolung2 system, age > 70 years and ppoFEV1 < 70% were assigned 1 point; male sex, open surgery (as opposed to minimally invasive surgery), and body mass index (BMI) < 18.5 kg/m2 were assigned 2.5 points; and pneumonectomy was assigned 3 points (Table 1).\nBMI = body mass index, ppoFEV1 = predicted postoperative forced expiratory volume in 1second, VATS = video-assisted thoracic surgery.\nStatistical analyses Continuous variables are presented as means and standard deviations, and categorical variables are presented as frequencies and percentages. The normality of individual distributions of the parameters was assessed using the Shapiro–Wilk test. Student’s t-test or the Wilcoxon rank-sum test was used for the comparison of continuous variables between the two groups, and the χ2 test or Fisher’s exact test was used for categorical variables between the two groups. The area under the receiver operating characteristic curve (AUC) is presented as a statistical indicator for quantifying the discrimination ability of the scoring system. The Hosmer–Lemeshow test for the goodness-of-fit was used for calibration of the logistic regression model.\nTo determine the long-term prognostic ability of the Eurolung2 scoring system, we conducted a survival analysis of patients who underwent complete resection for stage I, II, and III NSCLC. The Kaplan-Meier method was used to analyse OS, and their differences were assessed using the log-rank test. For multiple comparisons of the survival curves (≥ 3 curves), Bonferroni correction was applied to calculate the P values in the log-rank test. A Cox proportional-hazards model was used for the univariate and multivariate analyses to identify the prognostic ability of the Eurolung2 scoring system.\nAll statistical calculations were performed with R, version 4.0.2 (The R Foundation for Statistical Computing, Vienna, Austria), using the Survival, ggplot2, GGally, survminer, and rms packages. P < 0.05 was considered significant.\nContinuous variables are presented as means and standard deviations, and categorical variables are presented as frequencies and percentages. The normality of individual distributions of the parameters was assessed using the Shapiro–Wilk test. Student’s t-test or the Wilcoxon rank-sum test was used for the comparison of continuous variables between the two groups, and the χ2 test or Fisher’s exact test was used for categorical variables between the two groups. The area under the receiver operating characteristic curve (AUC) is presented as a statistical indicator for quantifying the discrimination ability of the scoring system. The Hosmer–Lemeshow test for the goodness-of-fit was used for calibration of the logistic regression model.\nTo determine the long-term prognostic ability of the Eurolung2 scoring system, we conducted a survival analysis of patients who underwent complete resection for stage I, II, and III NSCLC. The Kaplan-Meier method was used to analyse OS, and their differences were assessed using the log-rank test. For multiple comparisons of the survival curves (≥ 3 curves), Bonferroni correction was applied to calculate the P values in the log-rank test. A Cox proportional-hazards model was used for the univariate and multivariate analyses to identify the prognostic ability of the Eurolung2 scoring system.\nAll statistical calculations were performed with R, version 4.0.2 (The R Foundation for Statistical Computing, Vienna, Austria), using the Survival, ggplot2, GGally, survminer, and rms packages. P < 0.05 was considered significant.\nEthics statement This retrospective study was approved by the Asan Medical Center Ethics Committee/Review Board, and this center waived the need for informed consent (approval No. 2021-0544).\nThis retrospective study was approved by the Asan Medical Center Ethics Committee/Review Board, and this center waived the need for informed consent (approval No. 2021-0544).", "We enrolled patients who underwent pulmonary resection for primary NSCLC at the Asan Medical Center, Seoul, Korea, between January 2004 and December 2018. Patients who underwent wedge resection or surgery for diagnostic intent were excluded from the study. In addition, patients who received neoadjuvant therapy, which is thought to have different risks related to surgery, were excluded. Patients with any other concurrent malignancy were also excluded when analyzing the long-term survival outcomes. The pathological staging of NSCLC was based on the recommendations by the 8th edition American Joint Committee on Cancer in a retrospective manner.6 Tumor histology was categorized according to the World Health Organization classification.7 Lobectomy with systematic lymph node dissection was adopted as a standard procedure for primary lung cancer; however, segmentectomy was performed in some old patients and those with borderline lung function and early-stage adenocarcinoma. Surgical resection was performed in patients with clinical stage I–IIIA, including N2 node metastasis. All patients were followed up either until death or the last follow-up date of the study (March 1, 2021).\nFollow-up information of all the patients was obtained from the notes of the clinical follow-up, which was conducted every 3–6 months during the first 2 years after surgery and every 6–12 months thereafter. Chest computed tomography scans were performed at the time of clinical visits or at any time when disease recurrence was suspected. Treatment modalities and chemotherapeutic regimens in cases with relapse were determined at the discretion of the attending physician.", "The residual pulmonary function was estimated as follows: it is assumed that the lungs in a normal individual have a total of 19 segments (right upper lobe: 3, right middle lobe: 2, right lower lobe: 5, left upper lobe: 3, lingula: 2, lower left lobe: 4 segments), each contributing equally to ventilation that is 1/19 (nineteenth part).8 Thus, the predicted postoperative forced expiratory volume in 1 second (ppoFEV1) and diffusing capacity of carbon monoxide (DLCO) were calculated as follows: preoperative FEV1 or DLCO × (19 segments – the number of segments to be removed during the surgery) ÷ 19. Cardiopulmonary complications fundamentally complied with the terminology of the ESTS and Society of Thoracic Surgeons, which included the following: prolonged air leak (lasting more than 7 days), airway stenosis, atelectasis, pneumonia, acute respiratory distress syndrome, bronchopleural fistula, pulmonary embolism, pulmonary edema, respiratory failure requiring reintubation, empyema, recurrent laryngeal nerve palsy, phrenic nerve palsy, chylothorax, postoperative bleeding, atrial arrhythmia, myocardial infarction, stroke, and acute renal failure.49 Extended resection was defined as follows: 1) chest wall resection, 2) Pancoast tumors, 3) resection of the atrium, superior vena cava, aorta, diaphragm, or vertebra, 4) bronchial sleeve resection, 5) pleuropneumonectomy, 6) sleeve pneumonectomies, or 7) intrapericardial pneumonectomy. Mortality was defined as death within 30 days after surgery or death occurring at any time during the same hospital stay. The overall survival (OS) was calculated as the time interval between the date of surgery and the date of death, which was determined by reviewing the patient records from the Korean National Security Death Index Database. Aggregate Eurolung1 (morbidity) and Eurolung2 (mortality) scoring systems were developed by assigning proportional weightages of the predictors estimates, which are listed in the Eurolung model,4 assigned a value of 1 to the smallest coefficient. Thus, the Eurolung1 score was calculated as a sum of the points based on the following variables: 1 point for age > 70 years and ppoFEV1 < 70%; 1.5 points for male sex and extended resection; and 2 points for open surgery (as opposed to minimally invasive surgery) (Table 1). For the Eurolung2 system, age > 70 years and ppoFEV1 < 70% were assigned 1 point; male sex, open surgery (as opposed to minimally invasive surgery), and body mass index (BMI) < 18.5 kg/m2 were assigned 2.5 points; and pneumonectomy was assigned 3 points (Table 1).\nBMI = body mass index, ppoFEV1 = predicted postoperative forced expiratory volume in 1second, VATS = video-assisted thoracic surgery.", "Continuous variables are presented as means and standard deviations, and categorical variables are presented as frequencies and percentages. The normality of individual distributions of the parameters was assessed using the Shapiro–Wilk test. Student’s t-test or the Wilcoxon rank-sum test was used for the comparison of continuous variables between the two groups, and the χ2 test or Fisher’s exact test was used for categorical variables between the two groups. The area under the receiver operating characteristic curve (AUC) is presented as a statistical indicator for quantifying the discrimination ability of the scoring system. The Hosmer–Lemeshow test for the goodness-of-fit was used for calibration of the logistic regression model.\nTo determine the long-term prognostic ability of the Eurolung2 scoring system, we conducted a survival analysis of patients who underwent complete resection for stage I, II, and III NSCLC. The Kaplan-Meier method was used to analyse OS, and their differences were assessed using the log-rank test. For multiple comparisons of the survival curves (≥ 3 curves), Bonferroni correction was applied to calculate the P values in the log-rank test. A Cox proportional-hazards model was used for the univariate and multivariate analyses to identify the prognostic ability of the Eurolung2 scoring system.\nAll statistical calculations were performed with R, version 4.0.2 (The R Foundation for Statistical Computing, Vienna, Austria), using the Survival, ggplot2, GGally, survminer, and rms packages. P < 0.05 was considered significant.", "This retrospective study was approved by the Asan Medical Center Ethics Committee/Review Board, and this center waived the need for informed consent (approval No. 2021-0544).", "Patient characteristics The median follow-up period was 53.6 ± 35.9 months. The clinicopathological characteristics of the patients are summarized in Table 2. A total of 7,278 patients were enrolled in this study. There were 1,531 (21.0%) patients aged > 70 years and 159 (2.2%) patients with BMI < 18.5 kg/m2. In addition, 3,659 patients had ppoFEV1 < 70%. Lobectomy was performed in 5,957 patients (81.8%), and video-assisted thoracoscopic surgery was performed in 4,646 patients (63.8%). In terms of the pathological stage, there were 3,999 (54.9%), 1,554 (21.4%), 1,560 (21.4%), and 159 (2.2%) patients with stage I, II, III, and IV disease, respectively.\nValues are presented as numbers (%) or means ± standard deviations, unless otherwise indicated.\nBMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, FEV1 = forced expiratory volume in 1 second, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, DLCO = diffusing capacity of carbon monoxide, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery.\nThe median follow-up period was 53.6 ± 35.9 months. The clinicopathological characteristics of the patients are summarized in Table 2. A total of 7,278 patients were enrolled in this study. There were 1,531 (21.0%) patients aged > 70 years and 159 (2.2%) patients with BMI < 18.5 kg/m2. In addition, 3,659 patients had ppoFEV1 < 70%. Lobectomy was performed in 5,957 patients (81.8%), and video-assisted thoracoscopic surgery was performed in 4,646 patients (63.8%). In terms of the pathological stage, there were 3,999 (54.9%), 1,554 (21.4%), 1,560 (21.4%), and 159 (2.2%) patients with stage I, II, III, and IV disease, respectively.\nValues are presented as numbers (%) or means ± standard deviations, unless otherwise indicated.\nBMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, FEV1 = forced expiratory volume in 1 second, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, DLCO = diffusing capacity of carbon monoxide, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery.\nShort-term outcomes Regarding cardiopulmonary complications, 687 (9.4%) patients had a cardiopulmonary event regardless of event grade, the details of which are summarized in Supplementary Table 1. Fifty-three (0.7%) patients died within 30 days after surgery or at any time during the same hospital stay. The rate of cardiopulmonary complications gradually increased with the increase in the Eurolung1 risk score (P < 0.001) (Fig. 1A). A similar trend was observed in the mortality rate (P < 0.001) (Fig. 1B). The AUC was 0.623 and 0.815 for the Eurolung1 and Eurolung2 scores, respectively (Fig. 2). The Hosmer–Lemeshow tests of the two models were not significant (P = 0.442 for the Eurolung1 and 0.390 for the Eurolung2 scoring system).\nRegarding cardiopulmonary complications, 687 (9.4%) patients had a cardiopulmonary event regardless of event grade, the details of which are summarized in Supplementary Table 1. Fifty-three (0.7%) patients died within 30 days after surgery or at any time during the same hospital stay. The rate of cardiopulmonary complications gradually increased with the increase in the Eurolung1 risk score (P < 0.001) (Fig. 1A). A similar trend was observed in the mortality rate (P < 0.001) (Fig. 1B). The AUC was 0.623 and 0.815 for the Eurolung1 and Eurolung2 scores, respectively (Fig. 2). The Hosmer–Lemeshow tests of the two models were not significant (P = 0.442 for the Eurolung1 and 0.390 for the Eurolung2 scoring system).\nLong-term outcomes According to the Kaplan-Meier estimates, survival curves stratified by the Eurolung2 scoring system showed a stepwise deterioration of OS with the increase in risk scores (Fig. 3A). When the risk scores were grouped into four categories, each group had a significantly different prognosis (Fig. 3B). Subgroup analyses were performed for four categories of the Eurolung2 scoring system in patients with stage I, II, and III NSCLC (Fig. 4). Although the difference in survival between the patients with scores 3–5 and 5.5–6.5 was not significant in stages II and III, the Eurolung2 risk scoring system still showed a favorable discrimination ability in all the stages.\nIn accordance with the Cox proportional hazard analysis, the Eurolung2 scoring system, classified into four categories, was found to be a significant prognostic factor for OS even after adjusting for confounders such as tumor histology and pathological stage in patients who underwent complete resection (P < 0.001) (Table 3). In addition, the higher the risk score, the higher was the hazard ratio, indicating a gradual deterioration in the prognosis with an increase in the risk score (Table 3).\nOR = odds ratio, CI = confidence interval, BMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery.\nAccording to the Kaplan-Meier estimates, survival curves stratified by the Eurolung2 scoring system showed a stepwise deterioration of OS with the increase in risk scores (Fig. 3A). When the risk scores were grouped into four categories, each group had a significantly different prognosis (Fig. 3B). Subgroup analyses were performed for four categories of the Eurolung2 scoring system in patients with stage I, II, and III NSCLC (Fig. 4). Although the difference in survival between the patients with scores 3–5 and 5.5–6.5 was not significant in stages II and III, the Eurolung2 risk scoring system still showed a favorable discrimination ability in all the stages.\nIn accordance with the Cox proportional hazard analysis, the Eurolung2 scoring system, classified into four categories, was found to be a significant prognostic factor for OS even after adjusting for confounders such as tumor histology and pathological stage in patients who underwent complete resection (P < 0.001) (Table 3). In addition, the higher the risk score, the higher was the hazard ratio, indicating a gradual deterioration in the prognosis with an increase in the risk score (Table 3).\nOR = odds ratio, CI = confidence interval, BMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery.", "The median follow-up period was 53.6 ± 35.9 months. The clinicopathological characteristics of the patients are summarized in Table 2. A total of 7,278 patients were enrolled in this study. There were 1,531 (21.0%) patients aged > 70 years and 159 (2.2%) patients with BMI < 18.5 kg/m2. In addition, 3,659 patients had ppoFEV1 < 70%. Lobectomy was performed in 5,957 patients (81.8%), and video-assisted thoracoscopic surgery was performed in 4,646 patients (63.8%). In terms of the pathological stage, there were 3,999 (54.9%), 1,554 (21.4%), 1,560 (21.4%), and 159 (2.2%) patients with stage I, II, III, and IV disease, respectively.\nValues are presented as numbers (%) or means ± standard deviations, unless otherwise indicated.\nBMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, FEV1 = forced expiratory volume in 1 second, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, DLCO = diffusing capacity of carbon monoxide, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery.", "Regarding cardiopulmonary complications, 687 (9.4%) patients had a cardiopulmonary event regardless of event grade, the details of which are summarized in Supplementary Table 1. Fifty-three (0.7%) patients died within 30 days after surgery or at any time during the same hospital stay. The rate of cardiopulmonary complications gradually increased with the increase in the Eurolung1 risk score (P < 0.001) (Fig. 1A). A similar trend was observed in the mortality rate (P < 0.001) (Fig. 1B). The AUC was 0.623 and 0.815 for the Eurolung1 and Eurolung2 scores, respectively (Fig. 2). The Hosmer–Lemeshow tests of the two models were not significant (P = 0.442 for the Eurolung1 and 0.390 for the Eurolung2 scoring system).", "According to the Kaplan-Meier estimates, survival curves stratified by the Eurolung2 scoring system showed a stepwise deterioration of OS with the increase in risk scores (Fig. 3A). When the risk scores were grouped into four categories, each group had a significantly different prognosis (Fig. 3B). Subgroup analyses were performed for four categories of the Eurolung2 scoring system in patients with stage I, II, and III NSCLC (Fig. 4). Although the difference in survival between the patients with scores 3–5 and 5.5–6.5 was not significant in stages II and III, the Eurolung2 risk scoring system still showed a favorable discrimination ability in all the stages.\nIn accordance with the Cox proportional hazard analysis, the Eurolung2 scoring system, classified into four categories, was found to be a significant prognostic factor for OS even after adjusting for confounders such as tumor histology and pathological stage in patients who underwent complete resection (P < 0.001) (Table 3). In addition, the higher the risk score, the higher was the hazard ratio, indicating a gradual deterioration in the prognosis with an increase in the risk score (Table 3).\nOR = odds ratio, CI = confidence interval, BMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery.", "In this study, we demonstrated the clinical relevance of the parsimonious Eurolung scoring system proposed by the ESTS group. The findings from the current study indicate that the parsimonious Eurolung1 (morbidity) and Eurolung2 (mortality) scoring systems have a good discriminatory ability for cardiopulmonary postoperative morbidity and mortality in the Korean population as well as in the European population with surgically resected NSCLC. Furthermore, the Eurolung2 scoring system is an independent prognosticator regardless of tumor histology and stage and can predict the long-term prognosis.\nConsidering that the mean age and number of comorbidities of patients undergoing lung cancer surgery are increasing, precise risk predictions for morbidity and mortality before surgery are becoming extremely important. The Eurolung risk model is one of the latest prediction models targeted for patients who have undergone surgery for lung cancer and is based on 48,000 cases registered in the ESTS database.34 The original model was developed in 2016; however, the complexity due to the requirement of many variables has limited its access in the clinical field.3 In 2019, an updated model with simplified variables was published, which retained the predictive abilities of the original model.4 However, this model has not been externally validated in an independent sample of patients so far. In this study, we performed an external validation using a large independent database from the Korean population, and the outcomes showed good prediction ability of parsimonious Eurolung models.\nNotably, we adopted the cut–off values developed in parsimonious Eurolung models, such as age > 70 years, ppoFEV1 < 70%, and BMI < 18.5 kg/m2. To enhance simplicity and accessibility, continuous variables are often divided into two categories based on an optimal cut-off value in clinical practice. However, the cut-off value is a statistic estimated from the original data, which can be unstable and have a large variation.1011 In addition, this estimate has a possibility of overfitting that is characterised by high accuracy for a classifier when evaluated on the training set but low accuracy when evaluated on a separate test set.12 Nonetheless, the cut-off values of the Eurolung models were still valid in our database. We believe that this is because these variables are standardized with respect to the method for measurement and can be observed consistently without the influence of other factors, thus reducing the variability.\nRegarding the long-term survival outcomes, it is surprising that even for the same pathological stage, the 5-year survival rate varied widely according to the Eurolung score (68.7% to 93.1% in stage I, 51.4% to 78.2% in stage II, and 31.8% to 59.9% in stage III) (Fig. 4). In the Eurolung model, several variables (age, sex, ppoFEV1, and thoracotomy) were commonly associated with morbidity and mortality, whereas some variables were characterized as morbidity (extended resection) or mortality (BMI and pneumonectomy).4 We suppose that a higher aggregate score representing the extent of the physiologic condition and surgical extension is associated with the postoperative complication and affects OS. Considering that the Eurolung score is an independent prognostic factor for long-term survival, this system provides a more precise and detailed prognosis for patients with NSCLC. Furthermore, the Eurolung scoring system can help in deciding whether surgery should be performed and also the surgical extent, surgical approach, and postoperative surveillance.\nThe current study has some limitations: 1) This was a retrospective study at a single institution in Korea, which does not represent the general Korean population. 2) selection bias is inherent in a retrospective analysis (e.g. the indication for surgery might vary depending on the institution); 3) a relatively small number of patients were classified in the highest-risk class; therefore, all patients with a score of 7 or higher were classified into a single group, and survival analysis was performed in a total of four groups instead of the original seven groups4; and 4) although a significant association was observed between the rate of mortality and risk score (P < 0.001), the rate of mortality was only 0.7% (n = 53) in the overall cohort. Thus, the results should be interpreted with caution due to the small number of observed events. A multicentre study is necessary to overcome the limitations of this study, and a validation study is still suggested.\nIn conclusion, we demonstrated that stratification according to the parsimonious version of the Eurolung scoring system has good discriminatory ability in terms of postoperative morbidity and mortality in South Korean patients. This system might help clinicians in estimating a detailed prognosis and deciding the appropriate treatment in high-risk patients with NSCLC." ]
[ "intro", "methods", null, null, null, null, "results", null, null, null, "discussion" ]
[ "Eurolung Risk Score", "Lung Cancer", "Surgery", "Postoperative Complication" ]
INTRODUCTION: Despite continuous advances in diagnosis and treatment, lung cancer remains the most frequent cause of cancer-related deaths worldwide.1 In Korea, the mean age of patients undergoing surgery for lung cancer has increased gradually, and the number of comorbidities per patient has also increased.2 The proportion of patients with stage I cancer is more than 50% among those undergoing surgery for non-small cell lung cancer (NSCLC), and this proportion is still increasing.2 Considering the alternatives to surgery such as stereotactic body radiation therapy in high-risk patients, the importance of accurate prediction of the surgery-related morbidity and mortality is increasing. In 2016, Eurolung risk models were developed to predict the risk of cardiopulmonary morbidity and mortality after surgery for NSCLC. These were based on the European Society of Thoracic Surgeons (ESTS) database comprising 48,000 patients.3 However, the disadvantage of these models was the need for numerous variables to calculate the risk; hence, their clinical utility was limited. To resolve this problem, the ESTS group recently created the parsimonious Eurolung risk models using simplified variables.4 Furthermore, these models have been reported to have significant reliability in predicting long-term survival outcomes.5 However, the limitation of these models is that they were developed based on the data of the European population and were externally validated on the same population. Thus, it is essential to perform an external validation of these models among other populations of different races, such as Asians. In this study, we sought to evaluate the clinical relevance of the parsimonious Eurolung risk scores in a Korean population with surgically resected NSCLC and to assess their utility as predictive indicators for the prognosis. METHODS: Patients We enrolled patients who underwent pulmonary resection for primary NSCLC at the Asan Medical Center, Seoul, Korea, between January 2004 and December 2018. Patients who underwent wedge resection or surgery for diagnostic intent were excluded from the study. In addition, patients who received neoadjuvant therapy, which is thought to have different risks related to surgery, were excluded. Patients with any other concurrent malignancy were also excluded when analyzing the long-term survival outcomes. The pathological staging of NSCLC was based on the recommendations by the 8th edition American Joint Committee on Cancer in a retrospective manner.6 Tumor histology was categorized according to the World Health Organization classification.7 Lobectomy with systematic lymph node dissection was adopted as a standard procedure for primary lung cancer; however, segmentectomy was performed in some old patients and those with borderline lung function and early-stage adenocarcinoma. Surgical resection was performed in patients with clinical stage I–IIIA, including N2 node metastasis. All patients were followed up either until death or the last follow-up date of the study (March 1, 2021). Follow-up information of all the patients was obtained from the notes of the clinical follow-up, which was conducted every 3–6 months during the first 2 years after surgery and every 6–12 months thereafter. Chest computed tomography scans were performed at the time of clinical visits or at any time when disease recurrence was suspected. Treatment modalities and chemotherapeutic regimens in cases with relapse were determined at the discretion of the attending physician. We enrolled patients who underwent pulmonary resection for primary NSCLC at the Asan Medical Center, Seoul, Korea, between January 2004 and December 2018. Patients who underwent wedge resection or surgery for diagnostic intent were excluded from the study. In addition, patients who received neoadjuvant therapy, which is thought to have different risks related to surgery, were excluded. Patients with any other concurrent malignancy were also excluded when analyzing the long-term survival outcomes. The pathological staging of NSCLC was based on the recommendations by the 8th edition American Joint Committee on Cancer in a retrospective manner.6 Tumor histology was categorized according to the World Health Organization classification.7 Lobectomy with systematic lymph node dissection was adopted as a standard procedure for primary lung cancer; however, segmentectomy was performed in some old patients and those with borderline lung function and early-stage adenocarcinoma. Surgical resection was performed in patients with clinical stage I–IIIA, including N2 node metastasis. All patients were followed up either until death or the last follow-up date of the study (March 1, 2021). Follow-up information of all the patients was obtained from the notes of the clinical follow-up, which was conducted every 3–6 months during the first 2 years after surgery and every 6–12 months thereafter. Chest computed tomography scans were performed at the time of clinical visits or at any time when disease recurrence was suspected. Treatment modalities and chemotherapeutic regimens in cases with relapse were determined at the discretion of the attending physician. Definitions The residual pulmonary function was estimated as follows: it is assumed that the lungs in a normal individual have a total of 19 segments (right upper lobe: 3, right middle lobe: 2, right lower lobe: 5, left upper lobe: 3, lingula: 2, lower left lobe: 4 segments), each contributing equally to ventilation that is 1/19 (nineteenth part).8 Thus, the predicted postoperative forced expiratory volume in 1 second (ppoFEV1) and diffusing capacity of carbon monoxide (DLCO) were calculated as follows: preoperative FEV1 or DLCO × (19 segments – the number of segments to be removed during the surgery) ÷ 19. Cardiopulmonary complications fundamentally complied with the terminology of the ESTS and Society of Thoracic Surgeons, which included the following: prolonged air leak (lasting more than 7 days), airway stenosis, atelectasis, pneumonia, acute respiratory distress syndrome, bronchopleural fistula, pulmonary embolism, pulmonary edema, respiratory failure requiring reintubation, empyema, recurrent laryngeal nerve palsy, phrenic nerve palsy, chylothorax, postoperative bleeding, atrial arrhythmia, myocardial infarction, stroke, and acute renal failure.49 Extended resection was defined as follows: 1) chest wall resection, 2) Pancoast tumors, 3) resection of the atrium, superior vena cava, aorta, diaphragm, or vertebra, 4) bronchial sleeve resection, 5) pleuropneumonectomy, 6) sleeve pneumonectomies, or 7) intrapericardial pneumonectomy. Mortality was defined as death within 30 days after surgery or death occurring at any time during the same hospital stay. The overall survival (OS) was calculated as the time interval between the date of surgery and the date of death, which was determined by reviewing the patient records from the Korean National Security Death Index Database. Aggregate Eurolung1 (morbidity) and Eurolung2 (mortality) scoring systems were developed by assigning proportional weightages of the predictors estimates, which are listed in the Eurolung model,4 assigned a value of 1 to the smallest coefficient. Thus, the Eurolung1 score was calculated as a sum of the points based on the following variables: 1 point for age > 70 years and ppoFEV1 < 70%; 1.5 points for male sex and extended resection; and 2 points for open surgery (as opposed to minimally invasive surgery) (Table 1). For the Eurolung2 system, age > 70 years and ppoFEV1 < 70% were assigned 1 point; male sex, open surgery (as opposed to minimally invasive surgery), and body mass index (BMI) < 18.5 kg/m2 were assigned 2.5 points; and pneumonectomy was assigned 3 points (Table 1). BMI = body mass index, ppoFEV1 = predicted postoperative forced expiratory volume in 1second, VATS = video-assisted thoracic surgery. The residual pulmonary function was estimated as follows: it is assumed that the lungs in a normal individual have a total of 19 segments (right upper lobe: 3, right middle lobe: 2, right lower lobe: 5, left upper lobe: 3, lingula: 2, lower left lobe: 4 segments), each contributing equally to ventilation that is 1/19 (nineteenth part).8 Thus, the predicted postoperative forced expiratory volume in 1 second (ppoFEV1) and diffusing capacity of carbon monoxide (DLCO) were calculated as follows: preoperative FEV1 or DLCO × (19 segments – the number of segments to be removed during the surgery) ÷ 19. Cardiopulmonary complications fundamentally complied with the terminology of the ESTS and Society of Thoracic Surgeons, which included the following: prolonged air leak (lasting more than 7 days), airway stenosis, atelectasis, pneumonia, acute respiratory distress syndrome, bronchopleural fistula, pulmonary embolism, pulmonary edema, respiratory failure requiring reintubation, empyema, recurrent laryngeal nerve palsy, phrenic nerve palsy, chylothorax, postoperative bleeding, atrial arrhythmia, myocardial infarction, stroke, and acute renal failure.49 Extended resection was defined as follows: 1) chest wall resection, 2) Pancoast tumors, 3) resection of the atrium, superior vena cava, aorta, diaphragm, or vertebra, 4) bronchial sleeve resection, 5) pleuropneumonectomy, 6) sleeve pneumonectomies, or 7) intrapericardial pneumonectomy. Mortality was defined as death within 30 days after surgery or death occurring at any time during the same hospital stay. The overall survival (OS) was calculated as the time interval between the date of surgery and the date of death, which was determined by reviewing the patient records from the Korean National Security Death Index Database. Aggregate Eurolung1 (morbidity) and Eurolung2 (mortality) scoring systems were developed by assigning proportional weightages of the predictors estimates, which are listed in the Eurolung model,4 assigned a value of 1 to the smallest coefficient. Thus, the Eurolung1 score was calculated as a sum of the points based on the following variables: 1 point for age > 70 years and ppoFEV1 < 70%; 1.5 points for male sex and extended resection; and 2 points for open surgery (as opposed to minimally invasive surgery) (Table 1). For the Eurolung2 system, age > 70 years and ppoFEV1 < 70% were assigned 1 point; male sex, open surgery (as opposed to minimally invasive surgery), and body mass index (BMI) < 18.5 kg/m2 were assigned 2.5 points; and pneumonectomy was assigned 3 points (Table 1). BMI = body mass index, ppoFEV1 = predicted postoperative forced expiratory volume in 1second, VATS = video-assisted thoracic surgery. Statistical analyses Continuous variables are presented as means and standard deviations, and categorical variables are presented as frequencies and percentages. The normality of individual distributions of the parameters was assessed using the Shapiro–Wilk test. Student’s t-test or the Wilcoxon rank-sum test was used for the comparison of continuous variables between the two groups, and the χ2 test or Fisher’s exact test was used for categorical variables between the two groups. The area under the receiver operating characteristic curve (AUC) is presented as a statistical indicator for quantifying the discrimination ability of the scoring system. The Hosmer–Lemeshow test for the goodness-of-fit was used for calibration of the logistic regression model. To determine the long-term prognostic ability of the Eurolung2 scoring system, we conducted a survival analysis of patients who underwent complete resection for stage I, II, and III NSCLC. The Kaplan-Meier method was used to analyse OS, and their differences were assessed using the log-rank test. For multiple comparisons of the survival curves (≥ 3 curves), Bonferroni correction was applied to calculate the P values in the log-rank test. A Cox proportional-hazards model was used for the univariate and multivariate analyses to identify the prognostic ability of the Eurolung2 scoring system. All statistical calculations were performed with R, version 4.0.2 (The R Foundation for Statistical Computing, Vienna, Austria), using the Survival, ggplot2, GGally, survminer, and rms packages. P < 0.05 was considered significant. Continuous variables are presented as means and standard deviations, and categorical variables are presented as frequencies and percentages. The normality of individual distributions of the parameters was assessed using the Shapiro–Wilk test. Student’s t-test or the Wilcoxon rank-sum test was used for the comparison of continuous variables between the two groups, and the χ2 test or Fisher’s exact test was used for categorical variables between the two groups. The area under the receiver operating characteristic curve (AUC) is presented as a statistical indicator for quantifying the discrimination ability of the scoring system. The Hosmer–Lemeshow test for the goodness-of-fit was used for calibration of the logistic regression model. To determine the long-term prognostic ability of the Eurolung2 scoring system, we conducted a survival analysis of patients who underwent complete resection for stage I, II, and III NSCLC. The Kaplan-Meier method was used to analyse OS, and their differences were assessed using the log-rank test. For multiple comparisons of the survival curves (≥ 3 curves), Bonferroni correction was applied to calculate the P values in the log-rank test. A Cox proportional-hazards model was used for the univariate and multivariate analyses to identify the prognostic ability of the Eurolung2 scoring system. All statistical calculations were performed with R, version 4.0.2 (The R Foundation for Statistical Computing, Vienna, Austria), using the Survival, ggplot2, GGally, survminer, and rms packages. P < 0.05 was considered significant. Ethics statement This retrospective study was approved by the Asan Medical Center Ethics Committee/Review Board, and this center waived the need for informed consent (approval No. 2021-0544). This retrospective study was approved by the Asan Medical Center Ethics Committee/Review Board, and this center waived the need for informed consent (approval No. 2021-0544). Patients: We enrolled patients who underwent pulmonary resection for primary NSCLC at the Asan Medical Center, Seoul, Korea, between January 2004 and December 2018. Patients who underwent wedge resection or surgery for diagnostic intent were excluded from the study. In addition, patients who received neoadjuvant therapy, which is thought to have different risks related to surgery, were excluded. Patients with any other concurrent malignancy were also excluded when analyzing the long-term survival outcomes. The pathological staging of NSCLC was based on the recommendations by the 8th edition American Joint Committee on Cancer in a retrospective manner.6 Tumor histology was categorized according to the World Health Organization classification.7 Lobectomy with systematic lymph node dissection was adopted as a standard procedure for primary lung cancer; however, segmentectomy was performed in some old patients and those with borderline lung function and early-stage adenocarcinoma. Surgical resection was performed in patients with clinical stage I–IIIA, including N2 node metastasis. All patients were followed up either until death or the last follow-up date of the study (March 1, 2021). Follow-up information of all the patients was obtained from the notes of the clinical follow-up, which was conducted every 3–6 months during the first 2 years after surgery and every 6–12 months thereafter. Chest computed tomography scans were performed at the time of clinical visits or at any time when disease recurrence was suspected. Treatment modalities and chemotherapeutic regimens in cases with relapse were determined at the discretion of the attending physician. Definitions: The residual pulmonary function was estimated as follows: it is assumed that the lungs in a normal individual have a total of 19 segments (right upper lobe: 3, right middle lobe: 2, right lower lobe: 5, left upper lobe: 3, lingula: 2, lower left lobe: 4 segments), each contributing equally to ventilation that is 1/19 (nineteenth part).8 Thus, the predicted postoperative forced expiratory volume in 1 second (ppoFEV1) and diffusing capacity of carbon monoxide (DLCO) were calculated as follows: preoperative FEV1 or DLCO × (19 segments – the number of segments to be removed during the surgery) ÷ 19. Cardiopulmonary complications fundamentally complied with the terminology of the ESTS and Society of Thoracic Surgeons, which included the following: prolonged air leak (lasting more than 7 days), airway stenosis, atelectasis, pneumonia, acute respiratory distress syndrome, bronchopleural fistula, pulmonary embolism, pulmonary edema, respiratory failure requiring reintubation, empyema, recurrent laryngeal nerve palsy, phrenic nerve palsy, chylothorax, postoperative bleeding, atrial arrhythmia, myocardial infarction, stroke, and acute renal failure.49 Extended resection was defined as follows: 1) chest wall resection, 2) Pancoast tumors, 3) resection of the atrium, superior vena cava, aorta, diaphragm, or vertebra, 4) bronchial sleeve resection, 5) pleuropneumonectomy, 6) sleeve pneumonectomies, or 7) intrapericardial pneumonectomy. Mortality was defined as death within 30 days after surgery or death occurring at any time during the same hospital stay. The overall survival (OS) was calculated as the time interval between the date of surgery and the date of death, which was determined by reviewing the patient records from the Korean National Security Death Index Database. Aggregate Eurolung1 (morbidity) and Eurolung2 (mortality) scoring systems were developed by assigning proportional weightages of the predictors estimates, which are listed in the Eurolung model,4 assigned a value of 1 to the smallest coefficient. Thus, the Eurolung1 score was calculated as a sum of the points based on the following variables: 1 point for age > 70 years and ppoFEV1 < 70%; 1.5 points for male sex and extended resection; and 2 points for open surgery (as opposed to minimally invasive surgery) (Table 1). For the Eurolung2 system, age > 70 years and ppoFEV1 < 70% were assigned 1 point; male sex, open surgery (as opposed to minimally invasive surgery), and body mass index (BMI) < 18.5 kg/m2 were assigned 2.5 points; and pneumonectomy was assigned 3 points (Table 1). BMI = body mass index, ppoFEV1 = predicted postoperative forced expiratory volume in 1second, VATS = video-assisted thoracic surgery. Statistical analyses: Continuous variables are presented as means and standard deviations, and categorical variables are presented as frequencies and percentages. The normality of individual distributions of the parameters was assessed using the Shapiro–Wilk test. Student’s t-test or the Wilcoxon rank-sum test was used for the comparison of continuous variables between the two groups, and the χ2 test or Fisher’s exact test was used for categorical variables between the two groups. The area under the receiver operating characteristic curve (AUC) is presented as a statistical indicator for quantifying the discrimination ability of the scoring system. The Hosmer–Lemeshow test for the goodness-of-fit was used for calibration of the logistic regression model. To determine the long-term prognostic ability of the Eurolung2 scoring system, we conducted a survival analysis of patients who underwent complete resection for stage I, II, and III NSCLC. The Kaplan-Meier method was used to analyse OS, and their differences were assessed using the log-rank test. For multiple comparisons of the survival curves (≥ 3 curves), Bonferroni correction was applied to calculate the P values in the log-rank test. A Cox proportional-hazards model was used for the univariate and multivariate analyses to identify the prognostic ability of the Eurolung2 scoring system. All statistical calculations were performed with R, version 4.0.2 (The R Foundation for Statistical Computing, Vienna, Austria), using the Survival, ggplot2, GGally, survminer, and rms packages. P < 0.05 was considered significant. Ethics statement: This retrospective study was approved by the Asan Medical Center Ethics Committee/Review Board, and this center waived the need for informed consent (approval No. 2021-0544). RESULTS: Patient characteristics The median follow-up period was 53.6 ± 35.9 months. The clinicopathological characteristics of the patients are summarized in Table 2. A total of 7,278 patients were enrolled in this study. There were 1,531 (21.0%) patients aged > 70 years and 159 (2.2%) patients with BMI < 18.5 kg/m2. In addition, 3,659 patients had ppoFEV1 < 70%. Lobectomy was performed in 5,957 patients (81.8%), and video-assisted thoracoscopic surgery was performed in 4,646 patients (63.8%). In terms of the pathological stage, there were 3,999 (54.9%), 1,554 (21.4%), 1,560 (21.4%), and 159 (2.2%) patients with stage I, II, III, and IV disease, respectively. Values are presented as numbers (%) or means ± standard deviations, unless otherwise indicated. BMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, FEV1 = forced expiratory volume in 1 second, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, DLCO = diffusing capacity of carbon monoxide, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery. The median follow-up period was 53.6 ± 35.9 months. The clinicopathological characteristics of the patients are summarized in Table 2. A total of 7,278 patients were enrolled in this study. There were 1,531 (21.0%) patients aged > 70 years and 159 (2.2%) patients with BMI < 18.5 kg/m2. In addition, 3,659 patients had ppoFEV1 < 70%. Lobectomy was performed in 5,957 patients (81.8%), and video-assisted thoracoscopic surgery was performed in 4,646 patients (63.8%). In terms of the pathological stage, there were 3,999 (54.9%), 1,554 (21.4%), 1,560 (21.4%), and 159 (2.2%) patients with stage I, II, III, and IV disease, respectively. Values are presented as numbers (%) or means ± standard deviations, unless otherwise indicated. BMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, FEV1 = forced expiratory volume in 1 second, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, DLCO = diffusing capacity of carbon monoxide, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery. Short-term outcomes Regarding cardiopulmonary complications, 687 (9.4%) patients had a cardiopulmonary event regardless of event grade, the details of which are summarized in Supplementary Table 1. Fifty-three (0.7%) patients died within 30 days after surgery or at any time during the same hospital stay. The rate of cardiopulmonary complications gradually increased with the increase in the Eurolung1 risk score (P < 0.001) (Fig. 1A). A similar trend was observed in the mortality rate (P < 0.001) (Fig. 1B). The AUC was 0.623 and 0.815 for the Eurolung1 and Eurolung2 scores, respectively (Fig. 2). The Hosmer–Lemeshow tests of the two models were not significant (P = 0.442 for the Eurolung1 and 0.390 for the Eurolung2 scoring system). Regarding cardiopulmonary complications, 687 (9.4%) patients had a cardiopulmonary event regardless of event grade, the details of which are summarized in Supplementary Table 1. Fifty-three (0.7%) patients died within 30 days after surgery or at any time during the same hospital stay. The rate of cardiopulmonary complications gradually increased with the increase in the Eurolung1 risk score (P < 0.001) (Fig. 1A). A similar trend was observed in the mortality rate (P < 0.001) (Fig. 1B). The AUC was 0.623 and 0.815 for the Eurolung1 and Eurolung2 scores, respectively (Fig. 2). The Hosmer–Lemeshow tests of the two models were not significant (P = 0.442 for the Eurolung1 and 0.390 for the Eurolung2 scoring system). Long-term outcomes According to the Kaplan-Meier estimates, survival curves stratified by the Eurolung2 scoring system showed a stepwise deterioration of OS with the increase in risk scores (Fig. 3A). When the risk scores were grouped into four categories, each group had a significantly different prognosis (Fig. 3B). Subgroup analyses were performed for four categories of the Eurolung2 scoring system in patients with stage I, II, and III NSCLC (Fig. 4). Although the difference in survival between the patients with scores 3–5 and 5.5–6.5 was not significant in stages II and III, the Eurolung2 risk scoring system still showed a favorable discrimination ability in all the stages. In accordance with the Cox proportional hazard analysis, the Eurolung2 scoring system, classified into four categories, was found to be a significant prognostic factor for OS even after adjusting for confounders such as tumor histology and pathological stage in patients who underwent complete resection (P < 0.001) (Table 3). In addition, the higher the risk score, the higher was the hazard ratio, indicating a gradual deterioration in the prognosis with an increase in the risk score (Table 3). OR = odds ratio, CI = confidence interval, BMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery. According to the Kaplan-Meier estimates, survival curves stratified by the Eurolung2 scoring system showed a stepwise deterioration of OS with the increase in risk scores (Fig. 3A). When the risk scores were grouped into four categories, each group had a significantly different prognosis (Fig. 3B). Subgroup analyses were performed for four categories of the Eurolung2 scoring system in patients with stage I, II, and III NSCLC (Fig. 4). Although the difference in survival between the patients with scores 3–5 and 5.5–6.5 was not significant in stages II and III, the Eurolung2 risk scoring system still showed a favorable discrimination ability in all the stages. In accordance with the Cox proportional hazard analysis, the Eurolung2 scoring system, classified into four categories, was found to be a significant prognostic factor for OS even after adjusting for confounders such as tumor histology and pathological stage in patients who underwent complete resection (P < 0.001) (Table 3). In addition, the higher the risk score, the higher was the hazard ratio, indicating a gradual deterioration in the prognosis with an increase in the risk score (Table 3). OR = odds ratio, CI = confidence interval, BMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery. Patient characteristics: The median follow-up period was 53.6 ± 35.9 months. The clinicopathological characteristics of the patients are summarized in Table 2. A total of 7,278 patients were enrolled in this study. There were 1,531 (21.0%) patients aged > 70 years and 159 (2.2%) patients with BMI < 18.5 kg/m2. In addition, 3,659 patients had ppoFEV1 < 70%. Lobectomy was performed in 5,957 patients (81.8%), and video-assisted thoracoscopic surgery was performed in 4,646 patients (63.8%). In terms of the pathological stage, there were 3,999 (54.9%), 1,554 (21.4%), 1,560 (21.4%), and 159 (2.2%) patients with stage I, II, III, and IV disease, respectively. Values are presented as numbers (%) or means ± standard deviations, unless otherwise indicated. BMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, FEV1 = forced expiratory volume in 1 second, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, DLCO = diffusing capacity of carbon monoxide, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery. Short-term outcomes: Regarding cardiopulmonary complications, 687 (9.4%) patients had a cardiopulmonary event regardless of event grade, the details of which are summarized in Supplementary Table 1. Fifty-three (0.7%) patients died within 30 days after surgery or at any time during the same hospital stay. The rate of cardiopulmonary complications gradually increased with the increase in the Eurolung1 risk score (P < 0.001) (Fig. 1A). A similar trend was observed in the mortality rate (P < 0.001) (Fig. 1B). The AUC was 0.623 and 0.815 for the Eurolung1 and Eurolung2 scores, respectively (Fig. 2). The Hosmer–Lemeshow tests of the two models were not significant (P = 0.442 for the Eurolung1 and 0.390 for the Eurolung2 scoring system). Long-term outcomes: According to the Kaplan-Meier estimates, survival curves stratified by the Eurolung2 scoring system showed a stepwise deterioration of OS with the increase in risk scores (Fig. 3A). When the risk scores were grouped into four categories, each group had a significantly different prognosis (Fig. 3B). Subgroup analyses were performed for four categories of the Eurolung2 scoring system in patients with stage I, II, and III NSCLC (Fig. 4). Although the difference in survival between the patients with scores 3–5 and 5.5–6.5 was not significant in stages II and III, the Eurolung2 risk scoring system still showed a favorable discrimination ability in all the stages. In accordance with the Cox proportional hazard analysis, the Eurolung2 scoring system, classified into four categories, was found to be a significant prognostic factor for OS even after adjusting for confounders such as tumor histology and pathological stage in patients who underwent complete resection (P < 0.001) (Table 3). In addition, the higher the risk score, the higher was the hazard ratio, indicating a gradual deterioration in the prognosis with an increase in the risk score (Table 3). OR = odds ratio, CI = confidence interval, BMI = body mass index, CVD = cerebrovascular disease, CAD = coronary artery disease, CKD = chronic kidney disease, ppoFEV1 = predicted postoperative forced expiratory volume in 1 second, ppoDLCO = predicted postoperative diffusing capacity of carbon monoxide, VATS = video–assisted thoracic surgery. DISCUSSION: In this study, we demonstrated the clinical relevance of the parsimonious Eurolung scoring system proposed by the ESTS group. The findings from the current study indicate that the parsimonious Eurolung1 (morbidity) and Eurolung2 (mortality) scoring systems have a good discriminatory ability for cardiopulmonary postoperative morbidity and mortality in the Korean population as well as in the European population with surgically resected NSCLC. Furthermore, the Eurolung2 scoring system is an independent prognosticator regardless of tumor histology and stage and can predict the long-term prognosis. Considering that the mean age and number of comorbidities of patients undergoing lung cancer surgery are increasing, precise risk predictions for morbidity and mortality before surgery are becoming extremely important. The Eurolung risk model is one of the latest prediction models targeted for patients who have undergone surgery for lung cancer and is based on 48,000 cases registered in the ESTS database.34 The original model was developed in 2016; however, the complexity due to the requirement of many variables has limited its access in the clinical field.3 In 2019, an updated model with simplified variables was published, which retained the predictive abilities of the original model.4 However, this model has not been externally validated in an independent sample of patients so far. In this study, we performed an external validation using a large independent database from the Korean population, and the outcomes showed good prediction ability of parsimonious Eurolung models. Notably, we adopted the cut–off values developed in parsimonious Eurolung models, such as age > 70 years, ppoFEV1 < 70%, and BMI < 18.5 kg/m2. To enhance simplicity and accessibility, continuous variables are often divided into two categories based on an optimal cut-off value in clinical practice. However, the cut-off value is a statistic estimated from the original data, which can be unstable and have a large variation.1011 In addition, this estimate has a possibility of overfitting that is characterised by high accuracy for a classifier when evaluated on the training set but low accuracy when evaluated on a separate test set.12 Nonetheless, the cut-off values of the Eurolung models were still valid in our database. We believe that this is because these variables are standardized with respect to the method for measurement and can be observed consistently without the influence of other factors, thus reducing the variability. Regarding the long-term survival outcomes, it is surprising that even for the same pathological stage, the 5-year survival rate varied widely according to the Eurolung score (68.7% to 93.1% in stage I, 51.4% to 78.2% in stage II, and 31.8% to 59.9% in stage III) (Fig. 4). In the Eurolung model, several variables (age, sex, ppoFEV1, and thoracotomy) were commonly associated with morbidity and mortality, whereas some variables were characterized as morbidity (extended resection) or mortality (BMI and pneumonectomy).4 We suppose that a higher aggregate score representing the extent of the physiologic condition and surgical extension is associated with the postoperative complication and affects OS. Considering that the Eurolung score is an independent prognostic factor for long-term survival, this system provides a more precise and detailed prognosis for patients with NSCLC. Furthermore, the Eurolung scoring system can help in deciding whether surgery should be performed and also the surgical extent, surgical approach, and postoperative surveillance. The current study has some limitations: 1) This was a retrospective study at a single institution in Korea, which does not represent the general Korean population. 2) selection bias is inherent in a retrospective analysis (e.g. the indication for surgery might vary depending on the institution); 3) a relatively small number of patients were classified in the highest-risk class; therefore, all patients with a score of 7 or higher were classified into a single group, and survival analysis was performed in a total of four groups instead of the original seven groups4; and 4) although a significant association was observed between the rate of mortality and risk score (P < 0.001), the rate of mortality was only 0.7% (n = 53) in the overall cohort. Thus, the results should be interpreted with caution due to the small number of observed events. A multicentre study is necessary to overcome the limitations of this study, and a validation study is still suggested. In conclusion, we demonstrated that stratification according to the parsimonious version of the Eurolung scoring system has good discriminatory ability in terms of postoperative morbidity and mortality in South Korean patients. This system might help clinicians in estimating a detailed prognosis and deciding the appropriate treatment in high-risk patients with NSCLC.
Background: This study aimed to assess the clinical relevance of the parsimonious Eurolung risk scoring system for predicting postoperative morbidity, mortality, and long-term survival in Korean patients with surgically resected non-small cell lung cancer. Methods: This retrospective analysis used the data of patients who underwent anatomical resection for non-small cell lung cancer between 2004 and 2018 at a single institution. The parsimonious aggregate Eurolung score was calculated for each patient. The Cox regression model was used to determine the ability of the Eurolung scoring system for predicting long-term outcomes. Results: Of the 7,278 patients in the study, cardiopulmonary complications and mortality occurred in 687 (9.4%) and 53 (0.7%) patients, respectively. The rate of cardiopulmonary complications and mortality gradually increased with the increase in the Eurolung risk scores (all P < 0.001). When risk scores were grouped into four categories, the Eurolung scoring system showed a stepwise deterioration of overall survival with the increase in risk scores, and this association was statistically significant (P < 0.001). Multivariate Cox analysis showed that the Eurolung scoring system, classified into four categories, was a significant prognostic factor of overall survival even after adjusting for covariates such as tumor histology and pathological stage (P < 0.001). Conclusions: Stratification based on the parsimonious Eurolung scoring system showed good discriminatory ability for predicting postoperative morbidity, mortality, and long-term survival in South Korean patients with surgically resected non-small cell lung cancer. This might help clinicians to provide a detailed prognosis and decide the appropriate treatment option for high-risk patients with non-small cell lung cancer.
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6,605
315
[ 280, 515, 288, 34, 237, 148, 280 ]
11
[ "patients", "surgery", "system", "eurolung2", "scoring", "resection", "risk", "scoring system", "stage", "survival" ]
[ "eurolung risk model", "surgery lung cancer", "eurolung2 mortality scoring", "risk cardiopulmonary morbidity", "thoracic surgery statistical" ]
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[CONTENT] Eurolung Risk Score | Lung Cancer | Surgery | Postoperative Complication [SUMMARY]
[CONTENT] Eurolung Risk Score | Lung Cancer | Surgery | Postoperative Complication [SUMMARY]
[CONTENT] Eurolung Risk Score | Lung Cancer | Surgery | Postoperative Complication [SUMMARY]
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[CONTENT] Eurolung Risk Score | Lung Cancer | Surgery | Postoperative Complication [SUMMARY]
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[CONTENT] Aged | Female | Forecasting | Humans | Lung Neoplasms | Male | Postoperative Complications | Retrospective Studies | Risk Factors | Survival Analysis [SUMMARY]
[CONTENT] Aged | Female | Forecasting | Humans | Lung Neoplasms | Male | Postoperative Complications | Retrospective Studies | Risk Factors | Survival Analysis [SUMMARY]
[CONTENT] Aged | Female | Forecasting | Humans | Lung Neoplasms | Male | Postoperative Complications | Retrospective Studies | Risk Factors | Survival Analysis [SUMMARY]
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[CONTENT] Aged | Female | Forecasting | Humans | Lung Neoplasms | Male | Postoperative Complications | Retrospective Studies | Risk Factors | Survival Analysis [SUMMARY]
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[CONTENT] eurolung risk model | surgery lung cancer | eurolung2 mortality scoring | risk cardiopulmonary morbidity | thoracic surgery statistical [SUMMARY]
[CONTENT] eurolung risk model | surgery lung cancer | eurolung2 mortality scoring | risk cardiopulmonary morbidity | thoracic surgery statistical [SUMMARY]
[CONTENT] eurolung risk model | surgery lung cancer | eurolung2 mortality scoring | risk cardiopulmonary morbidity | thoracic surgery statistical [SUMMARY]
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[CONTENT] eurolung risk model | surgery lung cancer | eurolung2 mortality scoring | risk cardiopulmonary morbidity | thoracic surgery statistical [SUMMARY]
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[CONTENT] patients | surgery | system | eurolung2 | scoring | resection | risk | scoring system | stage | survival [SUMMARY]
[CONTENT] patients | surgery | system | eurolung2 | scoring | resection | risk | scoring system | stage | survival [SUMMARY]
[CONTENT] patients | surgery | system | eurolung2 | scoring | resection | risk | scoring system | stage | survival [SUMMARY]
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[CONTENT] patients | surgery | system | eurolung2 | scoring | resection | risk | scoring system | stage | survival [SUMMARY]
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[CONTENT] models | risk | cancer | population | eurolung risk | surgery | lung cancer | lung | eurolung | eurolung risk models [SUMMARY]
[CONTENT] test | surgery | resection | points | lobe | patients | death | assigned | segments | 19 [SUMMARY]
[CONTENT] patients | disease | fig | risk | eurolung2 | scoring system | scores | 21 | system | scoring [SUMMARY]
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[CONTENT] patients | surgery | risk | test | eurolung2 | system | scoring | scoring system | disease | fig [SUMMARY]
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[CONTENT] Eurolung | Korean [SUMMARY]
[CONTENT] between 2004 and 2018 ||| Eurolung ||| Eurolung [SUMMARY]
[CONTENT] 7,278 | 687 | 9.4% | 53 | 0.7% ||| Eurolung ||| four | Eurolung ||| Multivariate Cox | Eurolung | four [SUMMARY]
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[CONTENT] Eurolung | Korean ||| between 2004 and 2018 ||| Eurolung ||| Eurolung ||| 7,278 | 687 | 9.4% | 53 | 0.7% ||| Eurolung ||| four | Eurolung ||| Multivariate Cox | Eurolung | four ||| Eurolung | South Korean ||| [SUMMARY]
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New biomarkers for early diagnosis of Lesch-Nyhan disease revealed by metabolic analysis on a large cohort of patients.
25612837
Lesch-Nyhan disease is a rare X-linked neurodevelopemental metabolic disorder caused by a wide variety of mutations in the HPRT1 gene leading to a deficiency of the purine recycling enzyme hypoxanthine-guanine phosphoribosyltransferase (HGprt). The residual HGprt activity correlates with the various phenotypes of Lesch-Nyhan (LN) patients and in particular with the different degree of neurobehavioral disturbances. The prevalence of this disease is considered to be underestimated due to large heterogeneity of its clinical symptoms and the difficulty of diagnosing of the less severe forms of the disease. We therefore searched for metabolic changes that would facilitate an early diagnosis and give potential clues on the disease pathogenesis and potential therapeutic approaches.
BACKGROUND
Lesch-Nyhan patients were diagnosed using HGprt enzymatic assay in red blood cells and identification of the causal HPRT1 gene mutations. These patients were subsequently classified into the three main phenotypic subgroups ranging from patients with only hyperuricemia to individuals presenting motor dysfunction, cognitive disability and self-injurious behavior. Metabolites from the three classes of patients were analyzed and quantified by High Performance Ionic Chromatography and biomarkers of HGprt deficiency were then validated by statistical analyses.
METHODS
A cohort of 139 patients, from 112 families, diagnosed using HGprt enzymatic assay in red blood cells, was studied. 98 displayed LN full phenotype (86 families) and 41 (26 families) had attenuated clinical phenotypes. Genotype/phenotype correlations show that LN full phenotype was correlated to genetic alterations resulting in null enzyme function, while variant phenotypes are often associated with missense mutations allowing some residual HGprt activity. Analysis of metabolites extracted from red blood cells from 56 LN patients revealed strong variations specific to HGprt deficiency for six metabolites (AICAR mono- and tri-phosphate, nicotinamide, nicotinic acid, ATP and Succinyl-AMP) as compared to controls including hyperuricemic patients without HGprt deficiency.
RESULTS
A highly significant correlation between six metabolites and the HGprt deficiency was established, each of them providing an easily measurable marker of the disease. Their combination strongly increases the probability of an early and reliable diagnosis for HGprt deficiency.
CONCLUSIONS
[ "Biomarkers", "Cohort Studies", "Family", "Gene Expression Regulation, Enzymologic", "Genotype", "Humans", "Hypoxanthine Phosphoribosyltransferase", "Lesch-Nyhan Syndrome", "Mutation", "Pedigree" ]
4320826
Background
The ubiquitous distribution of purine derivatives in human tissues and the high number of cellular functions in which these metabolites are involved explain why purine metabolism impairments lead to so many various diseases, i.e. >35 genetic pathologies are associated to purine metabolism genes (see [1] for review). The early recognition of these patients is required because of the progressive, irreversible and devastating consequences of these deficiencies [2]. A lot of these purine-associated pathologies share neurological, muscular, hematological and immunological symptoms. These common symptoms are most likely the consequence of nucleotide depletion and/or accumulation of toxic intermediates altering various biological functions, many of these deleterious effects taking place during embryonic development. Yet, the molecular mechanisms leading to these alterations are largely unknown and remain to be identified. Among purine-metabolism pathologies, the Lesch-Nyhan (LN) disease is a rare X-linked genetic disease, characterized in the most severe form by overproduction of uric acid, gout, severe motor disability, neurological deficiency and self-injurious behavior [3-5]. Milder forms of the disease, named Lesch-Nyhan Variants (LNV), exhibit less pronounced neurological and/or motor impairments and no self-injurious behavior [6-10]. A single mutated gene, HPRT1, is responsible for the LN pathology. HPRT1 encodes the Hypoxanthine/Guanine phosphorybosyl transferase enzyme HGprt involved in two steps of the purine salvage pathway, i.e. conversion of hypoxanthine and guanine to inosine monophosphate (IMP) and guanosine monophosphate (GMP), respectively (Figure 1). The mutations are highly heterogeneous, with more than 400 different mutations already documented (http://www.lesch-nyhan.org/en/research/mutations-database/). Depending on the mutation, the enzyme exhibits none or residual enzymatic activity. Residual activity correlates with the severity of symptoms and in particular with the degree of neurological disturbances [3,11]. Hence, a phenotypic classification in three groups has now been accepted [3,4,9]. Lesch-Nyhan Disease (LND) patients display neurological deficiencies and self-injurious behaviors; they usually have undetectable HGprt activity. A second set of patients with various degrees of neuromuscular symptoms but no self-injurious behavior were grouped in HND (HGprt-related Neurological Dysfunction), they typically have a residual HGprt activity in live fibroblast assay. Finally, a third group of patients presenting no neurobehavioral disturbances and symptoms secondary to hyperuricemia only were classified as HRH (HGprt-Related Hyperuricemia) and generally have an enzymatic activity above 10%. Despite this correlation between enzymatic activity in live fibroblast and neurological disturbances, the underlying molecular mechanisms responsible for neurobehavioral troubles remain unknown. HGprt deficiency might affect homeostasis of purine metabolites, some of which play critical roles in neuronal differentiation and function and are toxic for the brain. Studies have shown that neurobehavioral syndrome is linked to reduction of dopamine in the basal ganglia [12] and demonstrated that HGprt deficiency is accompanied by deregulation of important pathways involved in the development of dopaminergic neurons [13-15]. The lack of a functional purine salvage pathway causes purine limitation in both undifferentiated and differentiated cells, as well as profound loss of dopamine content [16]. These results imply an unknown mechanism by which intracellular purine level modulates dopamine level.Figure 1 Schematic representation of the human de novo , downstream and salvage purine pathways. AICAr : 5-Amino-imidazole-4-carboxamide-1-β-D-ribofuranoside ; AICAR: AICAr 5’-monophosphate. AMP: Adenosine 5’-monophosphate; GMP: Guanosine 5’-monophosphate; IMP: Inosine 5’-monophosphate. PRPP: 5-phosphoribosyl-1-pyrophosphate. S-AMP: Succinyl-AMP. ZTP: AICAr 5’-triphosphate. Enzymes (in red): Adk: adenosine kinase; Adsl: Adenylosuccinate lyase; Atic: AICAR transformylase IMP cyclohydrolase; Aprt: Adenine phosphoribosyl Transferase; HGprt: Hypoxanthine Guanine phosphoribosyl Transferase; Pnp: Purine nucleoside phosphorylase Xo: Xanthine oxydoreductase. Schematic representation of the human de novo , downstream and salvage purine pathways. AICAr : 5-Amino-imidazole-4-carboxamide-1-β-D-ribofuranoside ; AICAR: AICAr 5’-monophosphate. AMP: Adenosine 5’-monophosphate; GMP: Guanosine 5’-monophosphate; IMP: Inosine 5’-monophosphate. PRPP: 5-phosphoribosyl-1-pyrophosphate. S-AMP: Succinyl-AMP. ZTP: AICAr 5’-triphosphate. Enzymes (in red): Adk: adenosine kinase; Adsl: Adenylosuccinate lyase; Atic: AICAR transformylase IMP cyclohydrolase; Aprt: Adenine phosphoribosyl Transferase; HGprt: Hypoxanthine Guanine phosphoribosyl Transferase; Pnp: Purine nucleoside phosphorylase Xo: Xanthine oxydoreductase. In this study, we took advantage of a large cohort of 139 French patients to statistically evaluate the relationship between phenotype/genotype and purine, pyrimidine and pyridine content of red blood cells. Our aim was first to identify new biological markers to facilitate diagnosis of Lesch-Nyhan patients and second to provide clues on future therapy quests.
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Results and discussion
Genotype/Phenotype classification of full LND and LN Variants The French cohort of Lesch-Nyhan patients was split into the three approved sub-groups [3] depending on the degree of neurological disturbances, from none to severe: HRH, HND, LND. It should be stressed that the average diagnosis age of the patient of the 3 groups varies significantly due to the obviousness of the most severe symptoms (Figure 2A). Sequencing analysis of the HPRT1 gene revealed 61 different mutations among these 85 patients, spanning 65 families, 27 of which were novel. Of note, all these mutations including the 27 newly identified are listed in http://www.lesch-nyhan.org/en/research/mutations-database/. While the nature of the mutations was clearly not evenly distributed in the three groups (Figure 2B), we found that the location of the mutation was not a good prognostic marker of the severity of the disease (Figure 2C). The mutations were indeed scattered along the gene and no hot clusters were identified. This shows that multiple mutations of HPRT1 can cause the unique Lesch-Nyhan disease. Within the LND group, 54 Lesch-Nyhan patients, spanning 47 families were analyzed. We found 45 different mutations distributed throughout the gene. For the Variants a total of 16 mutations were found in 19 HND patients (12 families) and in 12 HRH patients (6 families). Importantly, in LND, only 32% of mutations are missense, while 68% of the mutations were deletion, insertion, nonsense and splicing mutations (Figure 2B). Approximately half of the deletions were large intragenic deletions with loss of one or more exons. All mutations in introns gave rise to splicing error mutations and to LND. For the Variant forms HND and HRH, this tendency is completely reversed with a majority of missense mutations (88%) and the quasi-absence of deletion, nonsense and splicing mutations (Figure 2B). The difference in the type of mutations between LND and Variants suggests that mutations more susceptible to result in null enzymatic function or in abnormal protein conformation are more likely to cause the severe phenotype LND. By contrast, in the Variant forms, the missense mutations may allow some residual activity of the protein leading to a less severe phenotype.Figure 2 Genotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family. Genotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family. The French cohort of Lesch-Nyhan patients was split into the three approved sub-groups [3] depending on the degree of neurological disturbances, from none to severe: HRH, HND, LND. It should be stressed that the average diagnosis age of the patient of the 3 groups varies significantly due to the obviousness of the most severe symptoms (Figure 2A). Sequencing analysis of the HPRT1 gene revealed 61 different mutations among these 85 patients, spanning 65 families, 27 of which were novel. Of note, all these mutations including the 27 newly identified are listed in http://www.lesch-nyhan.org/en/research/mutations-database/. While the nature of the mutations was clearly not evenly distributed in the three groups (Figure 2B), we found that the location of the mutation was not a good prognostic marker of the severity of the disease (Figure 2C). The mutations were indeed scattered along the gene and no hot clusters were identified. This shows that multiple mutations of HPRT1 can cause the unique Lesch-Nyhan disease. Within the LND group, 54 Lesch-Nyhan patients, spanning 47 families were analyzed. We found 45 different mutations distributed throughout the gene. For the Variants a total of 16 mutations were found in 19 HND patients (12 families) and in 12 HRH patients (6 families). Importantly, in LND, only 32% of mutations are missense, while 68% of the mutations were deletion, insertion, nonsense and splicing mutations (Figure 2B). Approximately half of the deletions were large intragenic deletions with loss of one or more exons. All mutations in introns gave rise to splicing error mutations and to LND. For the Variant forms HND and HRH, this tendency is completely reversed with a majority of missense mutations (88%) and the quasi-absence of deletion, nonsense and splicing mutations (Figure 2B). The difference in the type of mutations between LND and Variants suggests that mutations more susceptible to result in null enzymatic function or in abnormal protein conformation are more likely to cause the severe phenotype LND. By contrast, in the Variant forms, the missense mutations may allow some residual activity of the protein leading to a less severe phenotype.Figure 2 Genotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family. Genotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family. Identification of new biochemical markers for diagnosis of HGprt deficiency Blood samples from patients and controls were used to measure intracellular metabolite content in red blood cells. Because LND affects purine metabolism, we monitored the level of purine nucleotides, nucleosides and bases. In the same separation experiment we also measured pyrimidine nucleotides, nucleosides and bases as well as NAD(H) (Nicotinamide adenine di-nucleotide) and their precursors (Figure 3A). A comparison of representative chromatograms obtained with red blood cell extracts from a control and a HRH patient is presented in Figure 3B. Of note, GMP one of the products of HGprt (Figure 1) is not detectable in any control or Lesch-Nyhan patient red blood extracts. This observation is consistent with a previous one in which the presence of only the di- and tri-phosphate forms of guanylic nucleotides were detected in patient erythrocytes [21]. For each metabolite analyzed, statistical analyses of the data were conducted by drawing ROC (Receiving Operating Characteristic) curves and deducing the cognate AUC (Area Under Curve, see Methods for details). For eight metabolites the AUC were comprised between 0.8 and 1 (Figure 4A and Additional file 1: Figure S1) indicating a fair to excellent accuracy of the test in discriminating the groups being tested. Ten other metabolites presented some apparent differences between the control and LN patients, but statistical analyses revealed that for these metabolites AUC were between 0.80 and 0.5 and therefore had low or no significance (Additional file 1: Figure S2). Among the eight metabolites, significantly discriminating Lesch-Nyhan patients versus controls, are five purine derivatives (AICAR, hypoxanthine, ZTP (triphosphate form of AICAR), ATP and S-AMP), one pyrimidine (UMP) and precursors of NAD(H) (nicotinic acid and nicotinamide and/or nicotinamide riboside, these two last metabolites cannot be discriminated under our separation conditions). Importantly, some of these markers could reflect a more general hyperuricemia problem rather than being “specific” to HGprt deficiency. We therefore performed a similar metabolic analysis from blood samples from 13 hyperuricemic patients presenting normal HGprt activity (Figure 4 and Additional file 1: Table S1). In these patients two of the eight markers, i.e. hypoxanthine and UMP, were also accumulated in red blood cells (statistical results, Figure 4B and E), thus suggesting that hypoxanthine and UMP changes are more associated to hyperuricemia than to HGprt deficiency. In addition, while five of the thirteen hyperuricemic patients were treated with xanthine oxydoreductase inhibitor Allopurinol (Additional file 1: Table S1), we did not find any statistically significant difference on metabolites between treated and non-treated patients. From these analyses, we conclude that six metabolites significantly discriminate between HGprt deficient patients and healthy controls. We also performed a non parametric correlation analysis to determine is these six metabolites associated with HGprt deficiency could serve as biomarker of Lesch-Nyhan disease at any age of patients. For five of them (AICAR, ZTP, nicotinamide (riboside), ATP and S-AMP) we found no influence of age on the statistical relevance (p > 0.13, non-statistical significant correlation with age of patient for any of these metabolites) of using these metabolites as biomarkers for Lesch-Nyhan diagnosis. By contrast, for nicotinic acid, we found that strength of the biomarker significantly (p = 0.005, statistical significance **) decreases with age of the patient and is even not statistically significant for patients over 50 years old. Nevertheless, for these older patients the five other biomarkers are still fully statistically relevant for diagnosis of Lesch-Nyhan disease.Figure 3 Separation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions.Figure 4 Identification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks. Separation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Identification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks. Among the six the metabolites, AICAR and ZTP, have very high AUC (0.99 and 0.92 respectively, Figure 4A and C and Additional file 1: Figure S1) and are therefore highly predictive biochemical markers. Accumulation of ZTP in LN patients has been reported previously on a small number of patients (5 LND + 1 LN variant) [21]. Our statistical analysis on a much larger cohort of LN patients definitely validates this biomarker. It should be stressed however that AICAR and ZTP accumulations have been reported in few patients with other purine metabolic disorders: purine nucleoside phosphorylase deficiency (Pnp; 1 patient), phosphorybosyl pyrophosphate (PRPP) synthetase over-activity (1 patient), and AICAR transformylase IMP cyclohydrolase deficiency (Atic, 1 patient) [21,22] and therefore could not be fully discriminative for diagnosis. Nonetheless, the combination of these two AICAR derivatives with the four other identified biomarkers with high AUC strongly increases the prognostic power. Importantly, our metabolic analysis was done on red blood cells which are prone to accumulate AICAR [23] and therefore amplifies this metabolic signal. Indeed, AICAR accumulation was not detected on patient fibroblasts (I.C.P. and B.P. unpublished results). It thus appears that red blood cells, which are easy to collect, are also providentially propitious to the use of these biomarkers. Of note, one could expect that alteration of HGprt activity in LN patients lead to a decrease in IMP pool, but we found no significant difference in IMP content between LN patients and healthy controls (Additional file 1: Figure S2). One possible explanation for this is that, in erythrocytes, AICAR is used as a precursor of a metabolic bypass that can replenish the IMP pool in a HGprt-deficient context (Figure 1) [24]. To address the role of HGprt in the pathogenesis of LND, several in vitro studies have been already performed comparing nucleotide metabolism in different cell types (lymphoblast and fibroblasts) from LND patients versus subjects with normal HGprt activity, or tissue/cell lines from HPRT1 gene knock-out (KO) mice. The results were rather inconsistent [25-28]. Contributing factors to explain such variations have included culture conditions, unappreciated differences in growth rates and variability in precursor concentrations (e.g. nicotinamide) in different culture conditions [26,27,29]. Here, the analysis of erythrocytes, a single cell type directly sampled from patients, allowed to bypass these problems. Some of these earlier studies documented altered pyridine and purine nucleotide metabolite content in LND erythrocytes showing elevated NAD(H), as well as low GTP and ATP concentrations [30]. In addition, studies of NAD(H) metabolism on different tissues from HGprt gene knock-out (KO) mice revealed that NAD+ concentration was significantly increased in liver but not in brain or blood of the KO mice [31]. By contrast, NAD+ was found severely decreased in fibroblast from Lesch-Nyhan patients [29]. These results and ours demonstrate that changes in NAD(H) metabolism occur in response to HGprt deficiency, depending both on species and tissue type, however the physiopathological consequences remain to be explored. Blood samples from patients and controls were used to measure intracellular metabolite content in red blood cells. Because LND affects purine metabolism, we monitored the level of purine nucleotides, nucleosides and bases. In the same separation experiment we also measured pyrimidine nucleotides, nucleosides and bases as well as NAD(H) (Nicotinamide adenine di-nucleotide) and their precursors (Figure 3A). A comparison of representative chromatograms obtained with red blood cell extracts from a control and a HRH patient is presented in Figure 3B. Of note, GMP one of the products of HGprt (Figure 1) is not detectable in any control or Lesch-Nyhan patient red blood extracts. This observation is consistent with a previous one in which the presence of only the di- and tri-phosphate forms of guanylic nucleotides were detected in patient erythrocytes [21]. For each metabolite analyzed, statistical analyses of the data were conducted by drawing ROC (Receiving Operating Characteristic) curves and deducing the cognate AUC (Area Under Curve, see Methods for details). For eight metabolites the AUC were comprised between 0.8 and 1 (Figure 4A and Additional file 1: Figure S1) indicating a fair to excellent accuracy of the test in discriminating the groups being tested. Ten other metabolites presented some apparent differences between the control and LN patients, but statistical analyses revealed that for these metabolites AUC were between 0.80 and 0.5 and therefore had low or no significance (Additional file 1: Figure S2). Among the eight metabolites, significantly discriminating Lesch-Nyhan patients versus controls, are five purine derivatives (AICAR, hypoxanthine, ZTP (triphosphate form of AICAR), ATP and S-AMP), one pyrimidine (UMP) and precursors of NAD(H) (nicotinic acid and nicotinamide and/or nicotinamide riboside, these two last metabolites cannot be discriminated under our separation conditions). Importantly, some of these markers could reflect a more general hyperuricemia problem rather than being “specific” to HGprt deficiency. We therefore performed a similar metabolic analysis from blood samples from 13 hyperuricemic patients presenting normal HGprt activity (Figure 4 and Additional file 1: Table S1). In these patients two of the eight markers, i.e. hypoxanthine and UMP, were also accumulated in red blood cells (statistical results, Figure 4B and E), thus suggesting that hypoxanthine and UMP changes are more associated to hyperuricemia than to HGprt deficiency. In addition, while five of the thirteen hyperuricemic patients were treated with xanthine oxydoreductase inhibitor Allopurinol (Additional file 1: Table S1), we did not find any statistically significant difference on metabolites between treated and non-treated patients. From these analyses, we conclude that six metabolites significantly discriminate between HGprt deficient patients and healthy controls. We also performed a non parametric correlation analysis to determine is these six metabolites associated with HGprt deficiency could serve as biomarker of Lesch-Nyhan disease at any age of patients. For five of them (AICAR, ZTP, nicotinamide (riboside), ATP and S-AMP) we found no influence of age on the statistical relevance (p > 0.13, non-statistical significant correlation with age of patient for any of these metabolites) of using these metabolites as biomarkers for Lesch-Nyhan diagnosis. By contrast, for nicotinic acid, we found that strength of the biomarker significantly (p = 0.005, statistical significance **) decreases with age of the patient and is even not statistically significant for patients over 50 years old. Nevertheless, for these older patients the five other biomarkers are still fully statistically relevant for diagnosis of Lesch-Nyhan disease.Figure 3 Separation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions.Figure 4 Identification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks. Separation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Identification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks. Among the six the metabolites, AICAR and ZTP, have very high AUC (0.99 and 0.92 respectively, Figure 4A and C and Additional file 1: Figure S1) and are therefore highly predictive biochemical markers. Accumulation of ZTP in LN patients has been reported previously on a small number of patients (5 LND + 1 LN variant) [21]. Our statistical analysis on a much larger cohort of LN patients definitely validates this biomarker. It should be stressed however that AICAR and ZTP accumulations have been reported in few patients with other purine metabolic disorders: purine nucleoside phosphorylase deficiency (Pnp; 1 patient), phosphorybosyl pyrophosphate (PRPP) synthetase over-activity (1 patient), and AICAR transformylase IMP cyclohydrolase deficiency (Atic, 1 patient) [21,22] and therefore could not be fully discriminative for diagnosis. Nonetheless, the combination of these two AICAR derivatives with the four other identified biomarkers with high AUC strongly increases the prognostic power. Importantly, our metabolic analysis was done on red blood cells which are prone to accumulate AICAR [23] and therefore amplifies this metabolic signal. Indeed, AICAR accumulation was not detected on patient fibroblasts (I.C.P. and B.P. unpublished results). It thus appears that red blood cells, which are easy to collect, are also providentially propitious to the use of these biomarkers. Of note, one could expect that alteration of HGprt activity in LN patients lead to a decrease in IMP pool, but we found no significant difference in IMP content between LN patients and healthy controls (Additional file 1: Figure S2). One possible explanation for this is that, in erythrocytes, AICAR is used as a precursor of a metabolic bypass that can replenish the IMP pool in a HGprt-deficient context (Figure 1) [24]. To address the role of HGprt in the pathogenesis of LND, several in vitro studies have been already performed comparing nucleotide metabolism in different cell types (lymphoblast and fibroblasts) from LND patients versus subjects with normal HGprt activity, or tissue/cell lines from HPRT1 gene knock-out (KO) mice. The results were rather inconsistent [25-28]. Contributing factors to explain such variations have included culture conditions, unappreciated differences in growth rates and variability in precursor concentrations (e.g. nicotinamide) in different culture conditions [26,27,29]. Here, the analysis of erythrocytes, a single cell type directly sampled from patients, allowed to bypass these problems. Some of these earlier studies documented altered pyridine and purine nucleotide metabolite content in LND erythrocytes showing elevated NAD(H), as well as low GTP and ATP concentrations [30]. In addition, studies of NAD(H) metabolism on different tissues from HGprt gene knock-out (KO) mice revealed that NAD+ concentration was significantly increased in liver but not in brain or blood of the KO mice [31]. By contrast, NAD+ was found severely decreased in fibroblast from Lesch-Nyhan patients [29]. These results and ours demonstrate that changes in NAD(H) metabolism occur in response to HGprt deficiency, depending both on species and tissue type, however the physiopathological consequences remain to be explored. Correlation of metabolic profiles with clinical severity Our results presented in the previous section established that the metabolic profile of patients significantly differed from that of controls and from that of non-LND gouty patients indicating that beyond the HGprt deficiency resides a more complex metabolic disease. We then investigated whether the six biochemical markers identified in this study could be used to assess the severity of the disease. We found that this was clearly not the case since statistical analyses showed no significant differences for the six biomarkers between the different classes of patients (Figure 5 A to F). However, it should be emphasized that for the two most severe forms of the disease (LND and HND) self-injurious behaviors and/or neuromuscular symptoms are easily diagnosed and the biomarkers in these cases could mostly be used for confirmation together with HGprt activity measurement. For the last group of patients suffering from hyperuricemia but presenting no neurobehavioral disturbances, HRH group, diagnosis often happens much later during life, frequently in adulthood (see Figure 2A). For these cases, the biochemical markers described here will be very useful to facilitate diagnosis at an early stage of the disease. The usefulness of these biomarkers would be further amplified if systematic search for hyperuricemia at birth was envisioned.Figure 5 Changes in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares). Changes in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares). Why is there no clear correlation between the purine and pyrimidine metabolic profiles and the severity of the disease? A likely possibility is that the metabolic profiles, being derived from red blood cells of children or adults, does not fully reflect what happens in other cell types (especially neural tissues) and/or during embryonic development. A general question about the biomarkers identified in this study is whether they could be causative of some aspects of the pathology, as it was previously hypothesized concerning AICAR accumulation and the potential toxicity of this metabolite [32]. Massive accumulation of AICAR and its derivatives in Atic deficiency is associated with a devastating neurological disease involving profound mental retardation, epilepsy, dysmorphic features and congenital blindness [22]. In addition, AICAR is an inhibitor of the bi-functional enzyme Adenylosuccinate lyase (Adsl; Figure 1) and a deficiency of this enzyme also causes psychomotor retardation and autism in humans [33]. Indeed, the significant increase of succinyl-AMP (Figure 4H) in red blood cells of LN patients is in favor of a possible inhibition by AICAR of Adsl. AICAR, because of its structural similarity with AMP [34], is also a known activator of the AMP-activated protein kinase (AMPK), a homeostatic regulator of energy levels in the cell and influences the activity of a number of AMP-sensitive enzymes [35]. Accumulation of AICAR could have pleiotropic effects in the brain that could explain some of the neurological symptoms of Lesch-Nyhan patients. To establish a possible correlative link between AICAR accumulation and the severity of neurological symptoms in Lesch-Nyhan patients, metabolic analyses on cerebrospinal fluid would be more conclusive; however this biological material is not generally available. Of note, despite these difficulties, we could measure metabolic content in cerebrospinal fluid of few LND patients (8 patients) and healthy controls (6 patients). Even though purine derivatives were at very low concentration in these samples, we found some AICAR in its riboside form (AICAr) in Lesch-Nyhan patient cerebrospinal fluid but not in the controls (I.C-P. and B.P. unpublished results). Our analysis on the LND patient erythrocytes also showed that the ATP concentration was significantly lower when compared to healthy control and/or gouty patients, as already observed by others [36]. A significant decrease in GTP concentration was also found (AUC 0.74, Additional file 1: Figure S2), thus confirming previous in vitro results obtained on human neuronal tissue culture [37]. The combined ATP and GTP depletion in erythrocytes could reflect the situation in the brain, which, like the erythrocyte, is largely dependent on salvage pathways to sustain its ATP and GTP levels. Because ATP is a downstream product of purine metabolism, HGprt deficiency results in energy limitation. Present knowledge assumes that defective dopaminergic transmission is an important cause for neurological deficit in LND [12], however the mechanisms responsible for dopamine loss in HGprt deficiency is still an enigma. Shortage of specific nucleotides may cause this abnormality through the inhibition of nigrostriatal axonal arborization at a developmental stage sensitive to nucleotide availability [13,14]. Our results presented in the previous section established that the metabolic profile of patients significantly differed from that of controls and from that of non-LND gouty patients indicating that beyond the HGprt deficiency resides a more complex metabolic disease. We then investigated whether the six biochemical markers identified in this study could be used to assess the severity of the disease. We found that this was clearly not the case since statistical analyses showed no significant differences for the six biomarkers between the different classes of patients (Figure 5 A to F). However, it should be emphasized that for the two most severe forms of the disease (LND and HND) self-injurious behaviors and/or neuromuscular symptoms are easily diagnosed and the biomarkers in these cases could mostly be used for confirmation together with HGprt activity measurement. For the last group of patients suffering from hyperuricemia but presenting no neurobehavioral disturbances, HRH group, diagnosis often happens much later during life, frequently in adulthood (see Figure 2A). For these cases, the biochemical markers described here will be very useful to facilitate diagnosis at an early stage of the disease. The usefulness of these biomarkers would be further amplified if systematic search for hyperuricemia at birth was envisioned.Figure 5 Changes in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares). Changes in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares). Why is there no clear correlation between the purine and pyrimidine metabolic profiles and the severity of the disease? A likely possibility is that the metabolic profiles, being derived from red blood cells of children or adults, does not fully reflect what happens in other cell types (especially neural tissues) and/or during embryonic development. A general question about the biomarkers identified in this study is whether they could be causative of some aspects of the pathology, as it was previously hypothesized concerning AICAR accumulation and the potential toxicity of this metabolite [32]. Massive accumulation of AICAR and its derivatives in Atic deficiency is associated with a devastating neurological disease involving profound mental retardation, epilepsy, dysmorphic features and congenital blindness [22]. In addition, AICAR is an inhibitor of the bi-functional enzyme Adenylosuccinate lyase (Adsl; Figure 1) and a deficiency of this enzyme also causes psychomotor retardation and autism in humans [33]. Indeed, the significant increase of succinyl-AMP (Figure 4H) in red blood cells of LN patients is in favor of a possible inhibition by AICAR of Adsl. AICAR, because of its structural similarity with AMP [34], is also a known activator of the AMP-activated protein kinase (AMPK), a homeostatic regulator of energy levels in the cell and influences the activity of a number of AMP-sensitive enzymes [35]. Accumulation of AICAR could have pleiotropic effects in the brain that could explain some of the neurological symptoms of Lesch-Nyhan patients. To establish a possible correlative link between AICAR accumulation and the severity of neurological symptoms in Lesch-Nyhan patients, metabolic analyses on cerebrospinal fluid would be more conclusive; however this biological material is not generally available. Of note, despite these difficulties, we could measure metabolic content in cerebrospinal fluid of few LND patients (8 patients) and healthy controls (6 patients). Even though purine derivatives were at very low concentration in these samples, we found some AICAR in its riboside form (AICAr) in Lesch-Nyhan patient cerebrospinal fluid but not in the controls (I.C-P. and B.P. unpublished results). Our analysis on the LND patient erythrocytes also showed that the ATP concentration was significantly lower when compared to healthy control and/or gouty patients, as already observed by others [36]. A significant decrease in GTP concentration was also found (AUC 0.74, Additional file 1: Figure S2), thus confirming previous in vitro results obtained on human neuronal tissue culture [37]. The combined ATP and GTP depletion in erythrocytes could reflect the situation in the brain, which, like the erythrocyte, is largely dependent on salvage pathways to sustain its ATP and GTP levels. Because ATP is a downstream product of purine metabolism, HGprt deficiency results in energy limitation. Present knowledge assumes that defective dopaminergic transmission is an important cause for neurological deficit in LND [12], however the mechanisms responsible for dopamine loss in HGprt deficiency is still an enigma. Shortage of specific nucleotides may cause this abnormality through the inhibition of nigrostriatal axonal arborization at a developmental stage sensitive to nucleotide availability [13,14].
Conclusion
We documented the molecular and biochemical analysis of Lesch-Nyhan disease in a large cohort of 139 patients from France belonging to 112 unrelated families. Sequence analysis of the HPRT1 gene revealed that mutations were scattered along the gene and no hot clusters were identified. Importantly, within the most severe phenotypic group (LND) 68% of the mutations were deletion, insertion, nonsense and splicing mutations, mostly resulting in undetectable enzyme function. In Variant forms, HND and HRH, this tendency is completely reversed with a majority of missense mutations (88%), thus leading to residual HGprt activity. The effect of the HPRT1 mutations on residual HGprt enzyme activity is a relevant factor contributing to disease phenotype. Diversity of inborn errors in nucleotide metabolism leading to a large spectrum of common neurodevelopemental symptoms makes the diagnosis difficult, especially for patients with the less severe forms of these various diseases. Our chromatographic method allowed us to identify six metabolites (dramatic increase for AICAR, ZTP, nicotinic acid, nicotinamide (riboside), S-AMP and severe ATP depletion) statistically fully associated to HGprt deficiency. These six metabolites define new specific biomarkers since they are not significantly modified in hyperuricemic patients without HGprt-deficiency. These new biochemical markers are easy to measure on red blood cell extracts and their combination increases the probability of an early and reliable diagnose of less severe forms of HGprt deficiency.
[ "Patients and their classification", "Statement of ethical approval", "Mutation of HPRT1", "Metabolic analyses", "Statistical analysis", "Genotype/Phenotype classification of full LND and LN Variants", "Identification of new biochemical markers for diagnosis of HGprt deficiency", "Correlation of metabolic profiles with clinical severity" ]
[ "From 1980 to 2014, 139 patients from 112 families were diagnosed in our laboratory (I.C.P) using HGprt enzymatic assay in red blood cells. Clinical examination and HGprt dosage revealed 98 patients with the severe LND phenotype (86 families) and 41 LN variants (26 families) with attenuated symptoms. Lesch-Nyhan patients were thereafter classified according to prior validated phenotypic classification [4,9,17,18]. Briefly, in this cohort, 98 LND patients (in 86 families) with a full phenotype presented overproduction of uric acid, gout, severe motor disability, neurological deficiency and self-injurious behavior. Among LN variants, those presenting varying degree of neuromuscular symptoms but no self-injurious behavior (26 patients in 18 families) were grouped as HND, while 14 patients in 8 families with no neurobehavioral disturbances were grouped as HRH.", "The patient DNA and red blood cells collections used in this study were declared (N° DC-2009-955) at the “Plateforme de Ressources Biologiques” from Necker University Hospital (Paris; France) primarily for diagnosis and re-qualified for research purpose with the written consent of each patient or their parents.", "The sequencing analysis was performed on 85 patients from 65 families among the 112 families of the French registry. A legal informed consent was obtained from all patients. Molecular analysis of the HPRT1 gene was performed on genomic DNA from LND (n = 54 in 47 families), HND (n = 19 in 12 families) and HRH (n = 12 in 6 families) patients isolated from whole blood, as previously described by [7]. Briefly, the PCR primers used for exons 1–9 allowed genomic sequence analyses of both intron and exon segments involved in splice sequence mutations. All 9 exons of the HPRT1 gene were amplified on 8 separate DNA fragments, with different lengths, using the kit AccuPrime GC rich for exon 1 and the kit Platinum Pfx for exons 2–9 (Invitrogen, Carlsbad, CA). The amplified fragments were purified using Illumina Exostar (Illumina) and sequenced using the same primers.", "All metabolite extractions were performed on the blood samples used for the clinical diagnosis of patients. Metabolite extraction was achieved by boiling 100 μl of red blood cells in 5 ml of an ethanol/HEPES 10 mM pH 7.2 (3/1) solution for 3 min at 80°C. Samples were evaporated using a rotavapor apparatus (8 min, 65°C) and the dried residue was resuspended in 500 μl of MilliQ water. Insoluble particles were removed by centrifugation (21,000 g, 4°C, 1 hour) and the supernatant was ultra-filtrated on nanosep10K Omega (Pall). Metabolites were then separated on an ICS3000 chromatography station (Dionex, Sunnyvale, USA) using a carbopac PA1 column (250 × 2 mm; Dionex) with a 0.25 ml/min flow. Elution of metabolites was achieved with a Na-Acetate (NaAc) gradient in 50 mM NaOH as follows: elution was started at 50 mM NaAc for 2 min, rising up to 75 mM in 8 min, then to 100 mM in 25 min and finally to 350 mM in 30 min, followed by a step at 350 mM for 5 min, rising to 500 mM in 10 min, kept at this Na-Ac concentration for 5 min and finally raised up to 800 mM in 10 min followed by a step at this concentration for 20 min. The resin was then equilibrated at 50 mM NaAc for 15 min before injection of a new sample. Peaks were identified by their retention time and their UV spectrum signature (Diode Array Detector Ultimate 3000 RS, Dionex) and when necessary by co-injection with standards. When sufficient blood samples were available, metabolic analyses were performed on two independent metabolite extractions from patient’s red blood cells. The following metabolite samples were obtained and analyzed: 32 samples from asymptomatic patients (48 independent extracts); 29 samples from LND patients (47 independent extracts); 15 samples from HND patients (23 independent extracts); 12 samples from HRH patients (21 independent extracts); 13 samples from non Lesch-Nyhan patients presenting hyperuricemia (25 independent extracts). Metabolite amounts were normalized to hemoglobin content in the red blood cell samples measured spectrophotometrically (546 nm) using the Drabkin’s colorimetric reagent (5 ml; Chem-Lab NV, Belgium) on 20 μl of red blood cells samples. Of note, the metabolic extractions were done on red blood cells kept frozen at −20°C since the blood sampling. Statistical analyses revealed no significant correlation between any metabolic variation and the duration of freezing.", "Qualitative data were described by the sample size and percentage of each variable class. For quantitative data, we used quartile based indices (median, first-third quartile, min-max) to summarize variables and Wilcoxon rank-sum test to perform group comparisons. To summarize informative value of each metabolite as a diagnostic biomarker, we computed the area under the curve of the Receiver Operating Curve (AUC-ROC) [19]. Briefly AUC-ROC evaluates the ability of a quantitative marker to discriminate between two groups (for example patients and controls), a value of 1 indicates a perfect discrimination and 0.5 a complete absence of discrimination. If we enumerate all possible patient-control pairs, AUC-ROC can also be interpreted as the percentage of correctly ordered pairs, i.e. pairs where the patient marker level is higher than the control one, if the marker is expected to be increased in patients, and reciprocally if the marker is expected to be higher in controls. All computations were performed with the R statistical package v2.5 (http://www.r-project.org/). For the ROC analyses, we used the R ROCR library [20]. All tests were performed using a bilateral formulation. P-values less than 5% were considered as statistically significant. All metabolic distributions and ROC curves were drawn using Graph-Pad Prism software.", "The French cohort of Lesch-Nyhan patients was split into the three approved sub-groups [3] depending on the degree of neurological disturbances, from none to severe: HRH, HND, LND. It should be stressed that the average diagnosis age of the patient of the 3 groups varies significantly due to the obviousness of the most severe symptoms (Figure 2A). Sequencing analysis of the HPRT1 gene revealed 61 different mutations among these 85 patients, spanning 65 families, 27 of which were novel. Of note, all these mutations including the 27 newly identified are listed in http://www.lesch-nyhan.org/en/research/mutations-database/. While the nature of the mutations was clearly not evenly distributed in the three groups (Figure 2B), we found that the location of the mutation was not a good prognostic marker of the severity of the disease (Figure 2C). The mutations were indeed scattered along the gene and no hot clusters were identified. This shows that multiple mutations of HPRT1 can cause the unique Lesch-Nyhan disease. Within the LND group, 54 Lesch-Nyhan patients, spanning 47 families were analyzed. We found 45 different mutations distributed throughout the gene. For the Variants a total of 16 mutations were found in 19 HND patients (12 families) and in 12 HRH patients (6 families). Importantly, in LND, only 32% of mutations are missense, while 68% of the mutations were deletion, insertion, nonsense and splicing mutations (Figure 2B). Approximately half of the deletions were large intragenic deletions with loss of one or more exons. All mutations in introns gave rise to splicing error mutations and to LND. For the Variant forms HND and HRH, this tendency is completely reversed with a majority of missense mutations (88%) and the quasi-absence of deletion, nonsense and splicing mutations (Figure 2B). The difference in the type of mutations between LND and Variants suggests that mutations more susceptible to result in null enzymatic function or in abnormal protein conformation are more likely to cause the severe phenotype LND. By contrast, in the Variant forms, the missense mutations may allow some residual activity of the protein leading to a less severe phenotype.Figure 2\nGenotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family.\n\nGenotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family.", "Blood samples from patients and controls were used to measure intracellular metabolite content in red blood cells. Because LND affects purine metabolism, we monitored the level of purine nucleotides, nucleosides and bases. In the same separation experiment we also measured pyrimidine nucleotides, nucleosides and bases as well as NAD(H) (Nicotinamide adenine di-nucleotide) and their precursors (Figure 3A). A comparison of representative chromatograms obtained with red blood cell extracts from a control and a HRH patient is presented in Figure 3B. Of note, GMP one of the products of HGprt (Figure 1) is not detectable in any control or Lesch-Nyhan patient red blood extracts. This observation is consistent with a previous one in which the presence of only the di- and tri-phosphate forms of guanylic nucleotides were detected in patient erythrocytes [21]. For each metabolite analyzed, statistical analyses of the data were conducted by drawing ROC (Receiving Operating Characteristic) curves and deducing the cognate AUC (Area Under Curve, see Methods for details). For eight metabolites the AUC were comprised between 0.8 and 1 (Figure 4A and Additional file 1: Figure S1) indicating a fair to excellent accuracy of the test in discriminating the groups being tested. Ten other metabolites presented some apparent differences between the control and LN patients, but statistical analyses revealed that for these metabolites AUC were between 0.80 and 0.5 and therefore had low or no significance (Additional file 1: Figure S2). Among the eight metabolites, significantly discriminating Lesch-Nyhan patients versus controls, are five purine derivatives (AICAR, hypoxanthine, ZTP (triphosphate form of AICAR), ATP and S-AMP), one pyrimidine (UMP) and precursors of NAD(H) (nicotinic acid and nicotinamide and/or nicotinamide riboside, these two last metabolites cannot be discriminated under our separation conditions). Importantly, some of these markers could reflect a more general hyperuricemia problem rather than being “specific” to HGprt deficiency. We therefore performed a similar metabolic analysis from blood samples from 13 hyperuricemic patients presenting normal HGprt activity (Figure 4 and Additional file 1: Table S1). In these patients two of the eight markers, i.e. hypoxanthine and UMP, were also accumulated in red blood cells (statistical results, Figure 4B and E), thus suggesting that hypoxanthine and UMP changes are more associated to hyperuricemia than to HGprt deficiency. In addition, while five of the thirteen hyperuricemic patients were treated with xanthine oxydoreductase inhibitor Allopurinol (Additional file 1: Table S1), we did not find any statistically significant difference on metabolites between treated and non-treated patients. From these analyses, we conclude that six metabolites significantly discriminate between HGprt deficient patients and healthy controls. We also performed a non parametric correlation analysis to determine is these six metabolites associated with HGprt deficiency could serve as biomarker of Lesch-Nyhan disease at any age of patients. For five of them (AICAR, ZTP, nicotinamide (riboside), ATP and S-AMP) we found no influence of age on the statistical relevance (p > 0.13, non-statistical significant correlation with age of patient for any of these metabolites) of using these metabolites as biomarkers for Lesch-Nyhan diagnosis. By contrast, for nicotinic acid, we found that strength of the biomarker significantly (p = 0.005, statistical significance **) decreases with age of the patient and is even not statistically significant for patients over 50 years old. Nevertheless, for these older patients the five other biomarkers are still fully statistically relevant for diagnosis of Lesch-Nyhan disease.Figure 3\nSeparation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions.Figure 4\nIdentification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks.\n\nSeparation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions.\n\nIdentification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks.\nAmong the six the metabolites, AICAR and ZTP, have very high AUC (0.99 and 0.92 respectively, Figure 4A and C and Additional file 1: Figure S1) and are therefore highly predictive biochemical markers. Accumulation of ZTP in LN patients has been reported previously on a small number of patients (5 LND + 1 LN variant) [21]. Our statistical analysis on a much larger cohort of LN patients definitely validates this biomarker. It should be stressed however that AICAR and ZTP accumulations have been reported in few patients with other purine metabolic disorders: purine nucleoside phosphorylase deficiency (Pnp; 1 patient), phosphorybosyl pyrophosphate (PRPP) synthetase over-activity (1 patient), and AICAR transformylase IMP cyclohydrolase deficiency (Atic, 1 patient) [21,22] and therefore could not be fully discriminative for diagnosis. Nonetheless, the combination of these two AICAR derivatives with the four other identified biomarkers with high AUC strongly increases the prognostic power. Importantly, our metabolic analysis was done on red blood cells which are prone to accumulate AICAR [23] and therefore amplifies this metabolic signal. Indeed, AICAR accumulation was not detected on patient fibroblasts (I.C.P. and B.P. unpublished results). It thus appears that red blood cells, which are easy to collect, are also providentially propitious to the use of these biomarkers. Of note, one could expect that alteration of HGprt activity in LN patients lead to a decrease in IMP pool, but we found no significant difference in IMP content between LN patients and healthy controls (Additional file 1: Figure S2). One possible explanation for this is that, in erythrocytes, AICAR is used as a precursor of a metabolic bypass that can replenish the IMP pool in a HGprt-deficient context (Figure 1) [24].\nTo address the role of HGprt in the pathogenesis of LND, several in vitro studies have been already performed comparing nucleotide metabolism in different cell types (lymphoblast and fibroblasts) from LND patients versus subjects with normal HGprt activity, or tissue/cell lines from HPRT1 gene knock-out (KO) mice. The results were rather inconsistent [25-28]. Contributing factors to explain such variations have included culture conditions, unappreciated differences in growth rates and variability in precursor concentrations (e.g. nicotinamide) in different culture conditions [26,27,29]. Here, the analysis of erythrocytes, a single cell type directly sampled from patients, allowed to bypass these problems. Some of these earlier studies documented altered pyridine and purine nucleotide metabolite content in LND erythrocytes showing elevated NAD(H), as well as low GTP and ATP concentrations [30]. In addition, studies of NAD(H) metabolism on different tissues from HGprt gene knock-out (KO) mice revealed that NAD+ concentration was significantly increased in liver but not in brain or blood of the KO mice [31]. By contrast, NAD+ was found severely decreased in fibroblast from Lesch-Nyhan patients [29]. These results and ours demonstrate that changes in NAD(H) metabolism occur in response to HGprt deficiency, depending both on species and tissue type, however the physiopathological consequences remain to be explored.", "Our results presented in the previous section established that the metabolic profile of patients significantly differed from that of controls and from that of non-LND gouty patients indicating that beyond the HGprt deficiency resides a more complex metabolic disease. We then investigated whether the six biochemical markers identified in this study could be used to assess the severity of the disease. We found that this was clearly not the case since statistical analyses showed no significant differences for the six biomarkers between the different classes of patients (Figure 5 A to F). However, it should be emphasized that for the two most severe forms of the disease (LND and HND) self-injurious behaviors and/or neuromuscular symptoms are easily diagnosed and the biomarkers in these cases could mostly be used for confirmation together with HGprt activity measurement. For the last group of patients suffering from hyperuricemia but presenting no neurobehavioral disturbances, HRH group, diagnosis often happens much later during life, frequently in adulthood (see Figure 2A). For these cases, the biochemical markers described here will be very useful to facilitate diagnosis at an early stage of the disease. The usefulness of these biomarkers would be further amplified if systematic search for hyperuricemia at birth was envisioned.Figure 5\nChanges in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares).\n\nChanges in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares).\nWhy is there no clear correlation between the purine and pyrimidine metabolic profiles and the severity of the disease? A likely possibility is that the metabolic profiles, being derived from red blood cells of children or adults, does not fully reflect what happens in other cell types (especially neural tissues) and/or during embryonic development. A general question about the biomarkers identified in this study is whether they could be causative of some aspects of the pathology, as it was previously hypothesized concerning AICAR accumulation and the potential toxicity of this metabolite [32]. Massive accumulation of AICAR and its derivatives in Atic deficiency is associated with a devastating neurological disease involving profound mental retardation, epilepsy, dysmorphic features and congenital blindness [22]. In addition, AICAR is an inhibitor of the bi-functional enzyme Adenylosuccinate lyase (Adsl; Figure 1) and a deficiency of this enzyme also causes psychomotor retardation and autism in humans [33]. Indeed, the significant increase of succinyl-AMP (Figure 4H) in red blood cells of LN patients is in favor of a possible inhibition by AICAR of Adsl. AICAR, because of its structural similarity with AMP [34], is also a known activator of the AMP-activated protein kinase (AMPK), a homeostatic regulator of energy levels in the cell and influences the activity of a number of AMP-sensitive enzymes [35]. Accumulation of AICAR could have pleiotropic effects in the brain that could explain some of the neurological symptoms of Lesch-Nyhan patients. To establish a possible correlative link between AICAR accumulation and the severity of neurological symptoms in Lesch-Nyhan patients, metabolic analyses on cerebrospinal fluid would be more conclusive; however this biological material is not generally available. Of note, despite these difficulties, we could measure metabolic content in cerebrospinal fluid of few LND patients (8 patients) and healthy controls (6 patients). Even though purine derivatives were at very low concentration in these samples, we found some AICAR in its riboside form (AICAr) in Lesch-Nyhan patient cerebrospinal fluid but not in the controls (I.C-P. and B.P. unpublished results).\nOur analysis on the LND patient erythrocytes also showed that the ATP concentration was significantly lower when compared to healthy control and/or gouty patients, as already observed by others [36]. A significant decrease in GTP concentration was also found (AUC 0.74, Additional file 1: Figure S2), thus confirming previous in vitro results obtained on human neuronal tissue culture [37]. The combined ATP and GTP depletion in erythrocytes could reflect the situation in the brain, which, like the erythrocyte, is largely dependent on salvage pathways to sustain its ATP and GTP levels. Because ATP is a downstream product of purine metabolism, HGprt deficiency results in energy limitation. Present knowledge assumes that defective dopaminergic transmission is an important cause for neurological deficit in LND [12], however the mechanisms responsible for dopamine loss in HGprt deficiency is still an enigma. Shortage of specific nucleotides may cause this abnormality through the inhibition of nigrostriatal axonal arborization at a developmental stage sensitive to nucleotide availability [13,14]." ]
[ null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Patients and their classification", "Statement of ethical approval", "Mutation of HPRT1", "Metabolic analyses", "Statistical analysis", "Results and discussion", "Genotype/Phenotype classification of full LND and LN Variants", "Identification of new biochemical markers for diagnosis of HGprt deficiency", "Correlation of metabolic profiles with clinical severity", "Conclusion" ]
[ "The ubiquitous distribution of purine derivatives in human tissues and the high number of cellular functions in which these metabolites are involved explain why purine metabolism impairments lead to so many various diseases, i.e. >35 genetic pathologies are associated to purine metabolism genes (see [1] for review). The early recognition of these patients is required because of the progressive, irreversible and devastating consequences of these deficiencies [2]. A lot of these purine-associated pathologies share neurological, muscular, hematological and immunological symptoms. These common symptoms are most likely the consequence of nucleotide depletion and/or accumulation of toxic intermediates altering various biological functions, many of these deleterious effects taking place during embryonic development. Yet, the molecular mechanisms leading to these alterations are largely unknown and remain to be identified.\nAmong purine-metabolism pathologies, the Lesch-Nyhan (LN) disease is a rare X-linked genetic disease, characterized in the most severe form by overproduction of uric acid, gout, severe motor disability, neurological deficiency and self-injurious behavior [3-5]. Milder forms of the disease, named Lesch-Nyhan Variants (LNV), exhibit less pronounced neurological and/or motor impairments and no self-injurious behavior [6-10]. A single mutated gene, HPRT1, is responsible for the LN pathology. HPRT1 encodes the Hypoxanthine/Guanine phosphorybosyl transferase enzyme HGprt involved in two steps of the purine salvage pathway, i.e. conversion of hypoxanthine and guanine to inosine monophosphate (IMP) and guanosine monophosphate (GMP), respectively (Figure 1). The mutations are highly heterogeneous, with more than 400 different mutations already documented (http://www.lesch-nyhan.org/en/research/mutations-database/). Depending on the mutation, the enzyme exhibits none or residual enzymatic activity. Residual activity correlates with the severity of symptoms and in particular with the degree of neurological disturbances [3,11]. Hence, a phenotypic classification in three groups has now been accepted [3,4,9]. Lesch-Nyhan Disease (LND) patients display neurological deficiencies and self-injurious behaviors; they usually have undetectable HGprt activity. A second set of patients with various degrees of neuromuscular symptoms but no self-injurious behavior were grouped in HND (HGprt-related Neurological Dysfunction), they typically have a residual HGprt activity in live fibroblast assay. Finally, a third group of patients presenting no neurobehavioral disturbances and symptoms secondary to hyperuricemia only were classified as HRH (HGprt-Related Hyperuricemia) and generally have an enzymatic activity above 10%. Despite this correlation between enzymatic activity in live fibroblast and neurological disturbances, the underlying molecular mechanisms responsible for neurobehavioral troubles remain unknown. HGprt deficiency might affect homeostasis of purine metabolites, some of which play critical roles in neuronal differentiation and function and are toxic for the brain. Studies have shown that neurobehavioral syndrome is linked to reduction of dopamine in the basal ganglia [12] and demonstrated that HGprt deficiency is accompanied by deregulation of important pathways involved in the development of dopaminergic neurons [13-15]. The lack of a functional purine salvage pathway causes purine limitation in both undifferentiated and differentiated cells, as well as profound loss of dopamine content [16]. These results imply an unknown mechanism by which intracellular purine level modulates dopamine level.Figure 1\nSchematic representation of the human\nde novo\n, downstream and salvage purine pathways. AICAr : 5-Amino-imidazole-4-carboxamide-1-β-D-ribofuranoside ; AICAR: AICAr 5’-monophosphate. AMP: Adenosine 5’-monophosphate; GMP: Guanosine 5’-monophosphate; IMP: Inosine 5’-monophosphate. PRPP: 5-phosphoribosyl-1-pyrophosphate. S-AMP: Succinyl-AMP. ZTP: AICAr 5’-triphosphate. Enzymes (in red): Adk: adenosine kinase; Adsl: Adenylosuccinate lyase; Atic: AICAR transformylase IMP cyclohydrolase; Aprt: Adenine phosphoribosyl Transferase; HGprt: Hypoxanthine Guanine phosphoribosyl Transferase; Pnp: Purine nucleoside phosphorylase Xo: Xanthine oxydoreductase.\n\nSchematic representation of the human\nde novo\n, downstream and salvage purine pathways. AICAr : 5-Amino-imidazole-4-carboxamide-1-β-D-ribofuranoside ; AICAR: AICAr 5’-monophosphate. AMP: Adenosine 5’-monophosphate; GMP: Guanosine 5’-monophosphate; IMP: Inosine 5’-monophosphate. PRPP: 5-phosphoribosyl-1-pyrophosphate. S-AMP: Succinyl-AMP. ZTP: AICAr 5’-triphosphate. Enzymes (in red): Adk: adenosine kinase; Adsl: Adenylosuccinate lyase; Atic: AICAR transformylase IMP cyclohydrolase; Aprt: Adenine phosphoribosyl Transferase; HGprt: Hypoxanthine Guanine phosphoribosyl Transferase; Pnp: Purine nucleoside phosphorylase Xo: Xanthine oxydoreductase.\nIn this study, we took advantage of a large cohort of 139 French patients to statistically evaluate the relationship between phenotype/genotype and purine, pyrimidine and pyridine content of red blood cells. Our aim was first to identify new biological markers to facilitate diagnosis of Lesch-Nyhan patients and second to provide clues on future therapy quests.", " Patients and their classification From 1980 to 2014, 139 patients from 112 families were diagnosed in our laboratory (I.C.P) using HGprt enzymatic assay in red blood cells. Clinical examination and HGprt dosage revealed 98 patients with the severe LND phenotype (86 families) and 41 LN variants (26 families) with attenuated symptoms. Lesch-Nyhan patients were thereafter classified according to prior validated phenotypic classification [4,9,17,18]. Briefly, in this cohort, 98 LND patients (in 86 families) with a full phenotype presented overproduction of uric acid, gout, severe motor disability, neurological deficiency and self-injurious behavior. Among LN variants, those presenting varying degree of neuromuscular symptoms but no self-injurious behavior (26 patients in 18 families) were grouped as HND, while 14 patients in 8 families with no neurobehavioral disturbances were grouped as HRH.\nFrom 1980 to 2014, 139 patients from 112 families were diagnosed in our laboratory (I.C.P) using HGprt enzymatic assay in red blood cells. Clinical examination and HGprt dosage revealed 98 patients with the severe LND phenotype (86 families) and 41 LN variants (26 families) with attenuated symptoms. Lesch-Nyhan patients were thereafter classified according to prior validated phenotypic classification [4,9,17,18]. Briefly, in this cohort, 98 LND patients (in 86 families) with a full phenotype presented overproduction of uric acid, gout, severe motor disability, neurological deficiency and self-injurious behavior. Among LN variants, those presenting varying degree of neuromuscular symptoms but no self-injurious behavior (26 patients in 18 families) were grouped as HND, while 14 patients in 8 families with no neurobehavioral disturbances were grouped as HRH.\n Statement of ethical approval The patient DNA and red blood cells collections used in this study were declared (N° DC-2009-955) at the “Plateforme de Ressources Biologiques” from Necker University Hospital (Paris; France) primarily for diagnosis and re-qualified for research purpose with the written consent of each patient or their parents.\nThe patient DNA and red blood cells collections used in this study were declared (N° DC-2009-955) at the “Plateforme de Ressources Biologiques” from Necker University Hospital (Paris; France) primarily for diagnosis and re-qualified for research purpose with the written consent of each patient or their parents.\n Mutation of HPRT1 The sequencing analysis was performed on 85 patients from 65 families among the 112 families of the French registry. A legal informed consent was obtained from all patients. Molecular analysis of the HPRT1 gene was performed on genomic DNA from LND (n = 54 in 47 families), HND (n = 19 in 12 families) and HRH (n = 12 in 6 families) patients isolated from whole blood, as previously described by [7]. Briefly, the PCR primers used for exons 1–9 allowed genomic sequence analyses of both intron and exon segments involved in splice sequence mutations. All 9 exons of the HPRT1 gene were amplified on 8 separate DNA fragments, with different lengths, using the kit AccuPrime GC rich for exon 1 and the kit Platinum Pfx for exons 2–9 (Invitrogen, Carlsbad, CA). The amplified fragments were purified using Illumina Exostar (Illumina) and sequenced using the same primers.\nThe sequencing analysis was performed on 85 patients from 65 families among the 112 families of the French registry. A legal informed consent was obtained from all patients. Molecular analysis of the HPRT1 gene was performed on genomic DNA from LND (n = 54 in 47 families), HND (n = 19 in 12 families) and HRH (n = 12 in 6 families) patients isolated from whole blood, as previously described by [7]. Briefly, the PCR primers used for exons 1–9 allowed genomic sequence analyses of both intron and exon segments involved in splice sequence mutations. All 9 exons of the HPRT1 gene were amplified on 8 separate DNA fragments, with different lengths, using the kit AccuPrime GC rich for exon 1 and the kit Platinum Pfx for exons 2–9 (Invitrogen, Carlsbad, CA). The amplified fragments were purified using Illumina Exostar (Illumina) and sequenced using the same primers.\n Metabolic analyses All metabolite extractions were performed on the blood samples used for the clinical diagnosis of patients. Metabolite extraction was achieved by boiling 100 μl of red blood cells in 5 ml of an ethanol/HEPES 10 mM pH 7.2 (3/1) solution for 3 min at 80°C. Samples were evaporated using a rotavapor apparatus (8 min, 65°C) and the dried residue was resuspended in 500 μl of MilliQ water. Insoluble particles were removed by centrifugation (21,000 g, 4°C, 1 hour) and the supernatant was ultra-filtrated on nanosep10K Omega (Pall). Metabolites were then separated on an ICS3000 chromatography station (Dionex, Sunnyvale, USA) using a carbopac PA1 column (250 × 2 mm; Dionex) with a 0.25 ml/min flow. Elution of metabolites was achieved with a Na-Acetate (NaAc) gradient in 50 mM NaOH as follows: elution was started at 50 mM NaAc for 2 min, rising up to 75 mM in 8 min, then to 100 mM in 25 min and finally to 350 mM in 30 min, followed by a step at 350 mM for 5 min, rising to 500 mM in 10 min, kept at this Na-Ac concentration for 5 min and finally raised up to 800 mM in 10 min followed by a step at this concentration for 20 min. The resin was then equilibrated at 50 mM NaAc for 15 min before injection of a new sample. Peaks were identified by their retention time and their UV spectrum signature (Diode Array Detector Ultimate 3000 RS, Dionex) and when necessary by co-injection with standards. When sufficient blood samples were available, metabolic analyses were performed on two independent metabolite extractions from patient’s red blood cells. The following metabolite samples were obtained and analyzed: 32 samples from asymptomatic patients (48 independent extracts); 29 samples from LND patients (47 independent extracts); 15 samples from HND patients (23 independent extracts); 12 samples from HRH patients (21 independent extracts); 13 samples from non Lesch-Nyhan patients presenting hyperuricemia (25 independent extracts). Metabolite amounts were normalized to hemoglobin content in the red blood cell samples measured spectrophotometrically (546 nm) using the Drabkin’s colorimetric reagent (5 ml; Chem-Lab NV, Belgium) on 20 μl of red blood cells samples. Of note, the metabolic extractions were done on red blood cells kept frozen at −20°C since the blood sampling. Statistical analyses revealed no significant correlation between any metabolic variation and the duration of freezing.\nAll metabolite extractions were performed on the blood samples used for the clinical diagnosis of patients. Metabolite extraction was achieved by boiling 100 μl of red blood cells in 5 ml of an ethanol/HEPES 10 mM pH 7.2 (3/1) solution for 3 min at 80°C. Samples were evaporated using a rotavapor apparatus (8 min, 65°C) and the dried residue was resuspended in 500 μl of MilliQ water. Insoluble particles were removed by centrifugation (21,000 g, 4°C, 1 hour) and the supernatant was ultra-filtrated on nanosep10K Omega (Pall). Metabolites were then separated on an ICS3000 chromatography station (Dionex, Sunnyvale, USA) using a carbopac PA1 column (250 × 2 mm; Dionex) with a 0.25 ml/min flow. Elution of metabolites was achieved with a Na-Acetate (NaAc) gradient in 50 mM NaOH as follows: elution was started at 50 mM NaAc for 2 min, rising up to 75 mM in 8 min, then to 100 mM in 25 min and finally to 350 mM in 30 min, followed by a step at 350 mM for 5 min, rising to 500 mM in 10 min, kept at this Na-Ac concentration for 5 min and finally raised up to 800 mM in 10 min followed by a step at this concentration for 20 min. The resin was then equilibrated at 50 mM NaAc for 15 min before injection of a new sample. Peaks were identified by their retention time and their UV spectrum signature (Diode Array Detector Ultimate 3000 RS, Dionex) and when necessary by co-injection with standards. When sufficient blood samples were available, metabolic analyses were performed on two independent metabolite extractions from patient’s red blood cells. The following metabolite samples were obtained and analyzed: 32 samples from asymptomatic patients (48 independent extracts); 29 samples from LND patients (47 independent extracts); 15 samples from HND patients (23 independent extracts); 12 samples from HRH patients (21 independent extracts); 13 samples from non Lesch-Nyhan patients presenting hyperuricemia (25 independent extracts). Metabolite amounts were normalized to hemoglobin content in the red blood cell samples measured spectrophotometrically (546 nm) using the Drabkin’s colorimetric reagent (5 ml; Chem-Lab NV, Belgium) on 20 μl of red blood cells samples. Of note, the metabolic extractions were done on red blood cells kept frozen at −20°C since the blood sampling. Statistical analyses revealed no significant correlation between any metabolic variation and the duration of freezing.\n Statistical analysis Qualitative data were described by the sample size and percentage of each variable class. For quantitative data, we used quartile based indices (median, first-third quartile, min-max) to summarize variables and Wilcoxon rank-sum test to perform group comparisons. To summarize informative value of each metabolite as a diagnostic biomarker, we computed the area under the curve of the Receiver Operating Curve (AUC-ROC) [19]. Briefly AUC-ROC evaluates the ability of a quantitative marker to discriminate between two groups (for example patients and controls), a value of 1 indicates a perfect discrimination and 0.5 a complete absence of discrimination. If we enumerate all possible patient-control pairs, AUC-ROC can also be interpreted as the percentage of correctly ordered pairs, i.e. pairs where the patient marker level is higher than the control one, if the marker is expected to be increased in patients, and reciprocally if the marker is expected to be higher in controls. All computations were performed with the R statistical package v2.5 (http://www.r-project.org/). For the ROC analyses, we used the R ROCR library [20]. All tests were performed using a bilateral formulation. P-values less than 5% were considered as statistically significant. All metabolic distributions and ROC curves were drawn using Graph-Pad Prism software.\nQualitative data were described by the sample size and percentage of each variable class. For quantitative data, we used quartile based indices (median, first-third quartile, min-max) to summarize variables and Wilcoxon rank-sum test to perform group comparisons. To summarize informative value of each metabolite as a diagnostic biomarker, we computed the area under the curve of the Receiver Operating Curve (AUC-ROC) [19]. Briefly AUC-ROC evaluates the ability of a quantitative marker to discriminate between two groups (for example patients and controls), a value of 1 indicates a perfect discrimination and 0.5 a complete absence of discrimination. If we enumerate all possible patient-control pairs, AUC-ROC can also be interpreted as the percentage of correctly ordered pairs, i.e. pairs where the patient marker level is higher than the control one, if the marker is expected to be increased in patients, and reciprocally if the marker is expected to be higher in controls. All computations were performed with the R statistical package v2.5 (http://www.r-project.org/). For the ROC analyses, we used the R ROCR library [20]. All tests were performed using a bilateral formulation. P-values less than 5% were considered as statistically significant. All metabolic distributions and ROC curves were drawn using Graph-Pad Prism software.", "From 1980 to 2014, 139 patients from 112 families were diagnosed in our laboratory (I.C.P) using HGprt enzymatic assay in red blood cells. Clinical examination and HGprt dosage revealed 98 patients with the severe LND phenotype (86 families) and 41 LN variants (26 families) with attenuated symptoms. Lesch-Nyhan patients were thereafter classified according to prior validated phenotypic classification [4,9,17,18]. Briefly, in this cohort, 98 LND patients (in 86 families) with a full phenotype presented overproduction of uric acid, gout, severe motor disability, neurological deficiency and self-injurious behavior. Among LN variants, those presenting varying degree of neuromuscular symptoms but no self-injurious behavior (26 patients in 18 families) were grouped as HND, while 14 patients in 8 families with no neurobehavioral disturbances were grouped as HRH.", "The patient DNA and red blood cells collections used in this study were declared (N° DC-2009-955) at the “Plateforme de Ressources Biologiques” from Necker University Hospital (Paris; France) primarily for diagnosis and re-qualified for research purpose with the written consent of each patient or their parents.", "The sequencing analysis was performed on 85 patients from 65 families among the 112 families of the French registry. A legal informed consent was obtained from all patients. Molecular analysis of the HPRT1 gene was performed on genomic DNA from LND (n = 54 in 47 families), HND (n = 19 in 12 families) and HRH (n = 12 in 6 families) patients isolated from whole blood, as previously described by [7]. Briefly, the PCR primers used for exons 1–9 allowed genomic sequence analyses of both intron and exon segments involved in splice sequence mutations. All 9 exons of the HPRT1 gene were amplified on 8 separate DNA fragments, with different lengths, using the kit AccuPrime GC rich for exon 1 and the kit Platinum Pfx for exons 2–9 (Invitrogen, Carlsbad, CA). The amplified fragments were purified using Illumina Exostar (Illumina) and sequenced using the same primers.", "All metabolite extractions were performed on the blood samples used for the clinical diagnosis of patients. Metabolite extraction was achieved by boiling 100 μl of red blood cells in 5 ml of an ethanol/HEPES 10 mM pH 7.2 (3/1) solution for 3 min at 80°C. Samples were evaporated using a rotavapor apparatus (8 min, 65°C) and the dried residue was resuspended in 500 μl of MilliQ water. Insoluble particles were removed by centrifugation (21,000 g, 4°C, 1 hour) and the supernatant was ultra-filtrated on nanosep10K Omega (Pall). Metabolites were then separated on an ICS3000 chromatography station (Dionex, Sunnyvale, USA) using a carbopac PA1 column (250 × 2 mm; Dionex) with a 0.25 ml/min flow. Elution of metabolites was achieved with a Na-Acetate (NaAc) gradient in 50 mM NaOH as follows: elution was started at 50 mM NaAc for 2 min, rising up to 75 mM in 8 min, then to 100 mM in 25 min and finally to 350 mM in 30 min, followed by a step at 350 mM for 5 min, rising to 500 mM in 10 min, kept at this Na-Ac concentration for 5 min and finally raised up to 800 mM in 10 min followed by a step at this concentration for 20 min. The resin was then equilibrated at 50 mM NaAc for 15 min before injection of a new sample. Peaks were identified by their retention time and their UV spectrum signature (Diode Array Detector Ultimate 3000 RS, Dionex) and when necessary by co-injection with standards. When sufficient blood samples were available, metabolic analyses were performed on two independent metabolite extractions from patient’s red blood cells. The following metabolite samples were obtained and analyzed: 32 samples from asymptomatic patients (48 independent extracts); 29 samples from LND patients (47 independent extracts); 15 samples from HND patients (23 independent extracts); 12 samples from HRH patients (21 independent extracts); 13 samples from non Lesch-Nyhan patients presenting hyperuricemia (25 independent extracts). Metabolite amounts were normalized to hemoglobin content in the red blood cell samples measured spectrophotometrically (546 nm) using the Drabkin’s colorimetric reagent (5 ml; Chem-Lab NV, Belgium) on 20 μl of red blood cells samples. Of note, the metabolic extractions were done on red blood cells kept frozen at −20°C since the blood sampling. Statistical analyses revealed no significant correlation between any metabolic variation and the duration of freezing.", "Qualitative data were described by the sample size and percentage of each variable class. For quantitative data, we used quartile based indices (median, first-third quartile, min-max) to summarize variables and Wilcoxon rank-sum test to perform group comparisons. To summarize informative value of each metabolite as a diagnostic biomarker, we computed the area under the curve of the Receiver Operating Curve (AUC-ROC) [19]. Briefly AUC-ROC evaluates the ability of a quantitative marker to discriminate between two groups (for example patients and controls), a value of 1 indicates a perfect discrimination and 0.5 a complete absence of discrimination. If we enumerate all possible patient-control pairs, AUC-ROC can also be interpreted as the percentage of correctly ordered pairs, i.e. pairs where the patient marker level is higher than the control one, if the marker is expected to be increased in patients, and reciprocally if the marker is expected to be higher in controls. All computations were performed with the R statistical package v2.5 (http://www.r-project.org/). For the ROC analyses, we used the R ROCR library [20]. All tests were performed using a bilateral formulation. P-values less than 5% were considered as statistically significant. All metabolic distributions and ROC curves were drawn using Graph-Pad Prism software.", " Genotype/Phenotype classification of full LND and LN Variants The French cohort of Lesch-Nyhan patients was split into the three approved sub-groups [3] depending on the degree of neurological disturbances, from none to severe: HRH, HND, LND. It should be stressed that the average diagnosis age of the patient of the 3 groups varies significantly due to the obviousness of the most severe symptoms (Figure 2A). Sequencing analysis of the HPRT1 gene revealed 61 different mutations among these 85 patients, spanning 65 families, 27 of which were novel. Of note, all these mutations including the 27 newly identified are listed in http://www.lesch-nyhan.org/en/research/mutations-database/. While the nature of the mutations was clearly not evenly distributed in the three groups (Figure 2B), we found that the location of the mutation was not a good prognostic marker of the severity of the disease (Figure 2C). The mutations were indeed scattered along the gene and no hot clusters were identified. This shows that multiple mutations of HPRT1 can cause the unique Lesch-Nyhan disease. Within the LND group, 54 Lesch-Nyhan patients, spanning 47 families were analyzed. We found 45 different mutations distributed throughout the gene. For the Variants a total of 16 mutations were found in 19 HND patients (12 families) and in 12 HRH patients (6 families). Importantly, in LND, only 32% of mutations are missense, while 68% of the mutations were deletion, insertion, nonsense and splicing mutations (Figure 2B). Approximately half of the deletions were large intragenic deletions with loss of one or more exons. All mutations in introns gave rise to splicing error mutations and to LND. For the Variant forms HND and HRH, this tendency is completely reversed with a majority of missense mutations (88%) and the quasi-absence of deletion, nonsense and splicing mutations (Figure 2B). The difference in the type of mutations between LND and Variants suggests that mutations more susceptible to result in null enzymatic function or in abnormal protein conformation are more likely to cause the severe phenotype LND. By contrast, in the Variant forms, the missense mutations may allow some residual activity of the protein leading to a less severe phenotype.Figure 2\nGenotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family.\n\nGenotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family.\nThe French cohort of Lesch-Nyhan patients was split into the three approved sub-groups [3] depending on the degree of neurological disturbances, from none to severe: HRH, HND, LND. It should be stressed that the average diagnosis age of the patient of the 3 groups varies significantly due to the obviousness of the most severe symptoms (Figure 2A). Sequencing analysis of the HPRT1 gene revealed 61 different mutations among these 85 patients, spanning 65 families, 27 of which were novel. Of note, all these mutations including the 27 newly identified are listed in http://www.lesch-nyhan.org/en/research/mutations-database/. While the nature of the mutations was clearly not evenly distributed in the three groups (Figure 2B), we found that the location of the mutation was not a good prognostic marker of the severity of the disease (Figure 2C). The mutations were indeed scattered along the gene and no hot clusters were identified. This shows that multiple mutations of HPRT1 can cause the unique Lesch-Nyhan disease. Within the LND group, 54 Lesch-Nyhan patients, spanning 47 families were analyzed. We found 45 different mutations distributed throughout the gene. For the Variants a total of 16 mutations were found in 19 HND patients (12 families) and in 12 HRH patients (6 families). Importantly, in LND, only 32% of mutations are missense, while 68% of the mutations were deletion, insertion, nonsense and splicing mutations (Figure 2B). Approximately half of the deletions were large intragenic deletions with loss of one or more exons. All mutations in introns gave rise to splicing error mutations and to LND. For the Variant forms HND and HRH, this tendency is completely reversed with a majority of missense mutations (88%) and the quasi-absence of deletion, nonsense and splicing mutations (Figure 2B). The difference in the type of mutations between LND and Variants suggests that mutations more susceptible to result in null enzymatic function or in abnormal protein conformation are more likely to cause the severe phenotype LND. By contrast, in the Variant forms, the missense mutations may allow some residual activity of the protein leading to a less severe phenotype.Figure 2\nGenotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family.\n\nGenotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family.\n Identification of new biochemical markers for diagnosis of HGprt deficiency Blood samples from patients and controls were used to measure intracellular metabolite content in red blood cells. Because LND affects purine metabolism, we monitored the level of purine nucleotides, nucleosides and bases. In the same separation experiment we also measured pyrimidine nucleotides, nucleosides and bases as well as NAD(H) (Nicotinamide adenine di-nucleotide) and their precursors (Figure 3A). A comparison of representative chromatograms obtained with red blood cell extracts from a control and a HRH patient is presented in Figure 3B. Of note, GMP one of the products of HGprt (Figure 1) is not detectable in any control or Lesch-Nyhan patient red blood extracts. This observation is consistent with a previous one in which the presence of only the di- and tri-phosphate forms of guanylic nucleotides were detected in patient erythrocytes [21]. For each metabolite analyzed, statistical analyses of the data were conducted by drawing ROC (Receiving Operating Characteristic) curves and deducing the cognate AUC (Area Under Curve, see Methods for details). For eight metabolites the AUC were comprised between 0.8 and 1 (Figure 4A and Additional file 1: Figure S1) indicating a fair to excellent accuracy of the test in discriminating the groups being tested. Ten other metabolites presented some apparent differences between the control and LN patients, but statistical analyses revealed that for these metabolites AUC were between 0.80 and 0.5 and therefore had low or no significance (Additional file 1: Figure S2). Among the eight metabolites, significantly discriminating Lesch-Nyhan patients versus controls, are five purine derivatives (AICAR, hypoxanthine, ZTP (triphosphate form of AICAR), ATP and S-AMP), one pyrimidine (UMP) and precursors of NAD(H) (nicotinic acid and nicotinamide and/or nicotinamide riboside, these two last metabolites cannot be discriminated under our separation conditions). Importantly, some of these markers could reflect a more general hyperuricemia problem rather than being “specific” to HGprt deficiency. We therefore performed a similar metabolic analysis from blood samples from 13 hyperuricemic patients presenting normal HGprt activity (Figure 4 and Additional file 1: Table S1). In these patients two of the eight markers, i.e. hypoxanthine and UMP, were also accumulated in red blood cells (statistical results, Figure 4B and E), thus suggesting that hypoxanthine and UMP changes are more associated to hyperuricemia than to HGprt deficiency. In addition, while five of the thirteen hyperuricemic patients were treated with xanthine oxydoreductase inhibitor Allopurinol (Additional file 1: Table S1), we did not find any statistically significant difference on metabolites between treated and non-treated patients. From these analyses, we conclude that six metabolites significantly discriminate between HGprt deficient patients and healthy controls. We also performed a non parametric correlation analysis to determine is these six metabolites associated with HGprt deficiency could serve as biomarker of Lesch-Nyhan disease at any age of patients. For five of them (AICAR, ZTP, nicotinamide (riboside), ATP and S-AMP) we found no influence of age on the statistical relevance (p > 0.13, non-statistical significant correlation with age of patient for any of these metabolites) of using these metabolites as biomarkers for Lesch-Nyhan diagnosis. By contrast, for nicotinic acid, we found that strength of the biomarker significantly (p = 0.005, statistical significance **) decreases with age of the patient and is even not statistically significant for patients over 50 years old. Nevertheless, for these older patients the five other biomarkers are still fully statistically relevant for diagnosis of Lesch-Nyhan disease.Figure 3\nSeparation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions.Figure 4\nIdentification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks.\n\nSeparation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions.\n\nIdentification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks.\nAmong the six the metabolites, AICAR and ZTP, have very high AUC (0.99 and 0.92 respectively, Figure 4A and C and Additional file 1: Figure S1) and are therefore highly predictive biochemical markers. Accumulation of ZTP in LN patients has been reported previously on a small number of patients (5 LND + 1 LN variant) [21]. Our statistical analysis on a much larger cohort of LN patients definitely validates this biomarker. It should be stressed however that AICAR and ZTP accumulations have been reported in few patients with other purine metabolic disorders: purine nucleoside phosphorylase deficiency (Pnp; 1 patient), phosphorybosyl pyrophosphate (PRPP) synthetase over-activity (1 patient), and AICAR transformylase IMP cyclohydrolase deficiency (Atic, 1 patient) [21,22] and therefore could not be fully discriminative for diagnosis. Nonetheless, the combination of these two AICAR derivatives with the four other identified biomarkers with high AUC strongly increases the prognostic power. Importantly, our metabolic analysis was done on red blood cells which are prone to accumulate AICAR [23] and therefore amplifies this metabolic signal. Indeed, AICAR accumulation was not detected on patient fibroblasts (I.C.P. and B.P. unpublished results). It thus appears that red blood cells, which are easy to collect, are also providentially propitious to the use of these biomarkers. Of note, one could expect that alteration of HGprt activity in LN patients lead to a decrease in IMP pool, but we found no significant difference in IMP content between LN patients and healthy controls (Additional file 1: Figure S2). One possible explanation for this is that, in erythrocytes, AICAR is used as a precursor of a metabolic bypass that can replenish the IMP pool in a HGprt-deficient context (Figure 1) [24].\nTo address the role of HGprt in the pathogenesis of LND, several in vitro studies have been already performed comparing nucleotide metabolism in different cell types (lymphoblast and fibroblasts) from LND patients versus subjects with normal HGprt activity, or tissue/cell lines from HPRT1 gene knock-out (KO) mice. The results were rather inconsistent [25-28]. Contributing factors to explain such variations have included culture conditions, unappreciated differences in growth rates and variability in precursor concentrations (e.g. nicotinamide) in different culture conditions [26,27,29]. Here, the analysis of erythrocytes, a single cell type directly sampled from patients, allowed to bypass these problems. Some of these earlier studies documented altered pyridine and purine nucleotide metabolite content in LND erythrocytes showing elevated NAD(H), as well as low GTP and ATP concentrations [30]. In addition, studies of NAD(H) metabolism on different tissues from HGprt gene knock-out (KO) mice revealed that NAD+ concentration was significantly increased in liver but not in brain or blood of the KO mice [31]. By contrast, NAD+ was found severely decreased in fibroblast from Lesch-Nyhan patients [29]. These results and ours demonstrate that changes in NAD(H) metabolism occur in response to HGprt deficiency, depending both on species and tissue type, however the physiopathological consequences remain to be explored.\nBlood samples from patients and controls were used to measure intracellular metabolite content in red blood cells. Because LND affects purine metabolism, we monitored the level of purine nucleotides, nucleosides and bases. In the same separation experiment we also measured pyrimidine nucleotides, nucleosides and bases as well as NAD(H) (Nicotinamide adenine di-nucleotide) and their precursors (Figure 3A). A comparison of representative chromatograms obtained with red blood cell extracts from a control and a HRH patient is presented in Figure 3B. Of note, GMP one of the products of HGprt (Figure 1) is not detectable in any control or Lesch-Nyhan patient red blood extracts. This observation is consistent with a previous one in which the presence of only the di- and tri-phosphate forms of guanylic nucleotides were detected in patient erythrocytes [21]. For each metabolite analyzed, statistical analyses of the data were conducted by drawing ROC (Receiving Operating Characteristic) curves and deducing the cognate AUC (Area Under Curve, see Methods for details). For eight metabolites the AUC were comprised between 0.8 and 1 (Figure 4A and Additional file 1: Figure S1) indicating a fair to excellent accuracy of the test in discriminating the groups being tested. Ten other metabolites presented some apparent differences between the control and LN patients, but statistical analyses revealed that for these metabolites AUC were between 0.80 and 0.5 and therefore had low or no significance (Additional file 1: Figure S2). Among the eight metabolites, significantly discriminating Lesch-Nyhan patients versus controls, are five purine derivatives (AICAR, hypoxanthine, ZTP (triphosphate form of AICAR), ATP and S-AMP), one pyrimidine (UMP) and precursors of NAD(H) (nicotinic acid and nicotinamide and/or nicotinamide riboside, these two last metabolites cannot be discriminated under our separation conditions). Importantly, some of these markers could reflect a more general hyperuricemia problem rather than being “specific” to HGprt deficiency. We therefore performed a similar metabolic analysis from blood samples from 13 hyperuricemic patients presenting normal HGprt activity (Figure 4 and Additional file 1: Table S1). In these patients two of the eight markers, i.e. hypoxanthine and UMP, were also accumulated in red blood cells (statistical results, Figure 4B and E), thus suggesting that hypoxanthine and UMP changes are more associated to hyperuricemia than to HGprt deficiency. In addition, while five of the thirteen hyperuricemic patients were treated with xanthine oxydoreductase inhibitor Allopurinol (Additional file 1: Table S1), we did not find any statistically significant difference on metabolites between treated and non-treated patients. From these analyses, we conclude that six metabolites significantly discriminate between HGprt deficient patients and healthy controls. We also performed a non parametric correlation analysis to determine is these six metabolites associated with HGprt deficiency could serve as biomarker of Lesch-Nyhan disease at any age of patients. For five of them (AICAR, ZTP, nicotinamide (riboside), ATP and S-AMP) we found no influence of age on the statistical relevance (p > 0.13, non-statistical significant correlation with age of patient for any of these metabolites) of using these metabolites as biomarkers for Lesch-Nyhan diagnosis. By contrast, for nicotinic acid, we found that strength of the biomarker significantly (p = 0.005, statistical significance **) decreases with age of the patient and is even not statistically significant for patients over 50 years old. Nevertheless, for these older patients the five other biomarkers are still fully statistically relevant for diagnosis of Lesch-Nyhan disease.Figure 3\nSeparation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions.Figure 4\nIdentification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks.\n\nSeparation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions.\n\nIdentification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks.\nAmong the six the metabolites, AICAR and ZTP, have very high AUC (0.99 and 0.92 respectively, Figure 4A and C and Additional file 1: Figure S1) and are therefore highly predictive biochemical markers. Accumulation of ZTP in LN patients has been reported previously on a small number of patients (5 LND + 1 LN variant) [21]. Our statistical analysis on a much larger cohort of LN patients definitely validates this biomarker. It should be stressed however that AICAR and ZTP accumulations have been reported in few patients with other purine metabolic disorders: purine nucleoside phosphorylase deficiency (Pnp; 1 patient), phosphorybosyl pyrophosphate (PRPP) synthetase over-activity (1 patient), and AICAR transformylase IMP cyclohydrolase deficiency (Atic, 1 patient) [21,22] and therefore could not be fully discriminative for diagnosis. Nonetheless, the combination of these two AICAR derivatives with the four other identified biomarkers with high AUC strongly increases the prognostic power. Importantly, our metabolic analysis was done on red blood cells which are prone to accumulate AICAR [23] and therefore amplifies this metabolic signal. Indeed, AICAR accumulation was not detected on patient fibroblasts (I.C.P. and B.P. unpublished results). It thus appears that red blood cells, which are easy to collect, are also providentially propitious to the use of these biomarkers. Of note, one could expect that alteration of HGprt activity in LN patients lead to a decrease in IMP pool, but we found no significant difference in IMP content between LN patients and healthy controls (Additional file 1: Figure S2). One possible explanation for this is that, in erythrocytes, AICAR is used as a precursor of a metabolic bypass that can replenish the IMP pool in a HGprt-deficient context (Figure 1) [24].\nTo address the role of HGprt in the pathogenesis of LND, several in vitro studies have been already performed comparing nucleotide metabolism in different cell types (lymphoblast and fibroblasts) from LND patients versus subjects with normal HGprt activity, or tissue/cell lines from HPRT1 gene knock-out (KO) mice. The results were rather inconsistent [25-28]. Contributing factors to explain such variations have included culture conditions, unappreciated differences in growth rates and variability in precursor concentrations (e.g. nicotinamide) in different culture conditions [26,27,29]. Here, the analysis of erythrocytes, a single cell type directly sampled from patients, allowed to bypass these problems. Some of these earlier studies documented altered pyridine and purine nucleotide metabolite content in LND erythrocytes showing elevated NAD(H), as well as low GTP and ATP concentrations [30]. In addition, studies of NAD(H) metabolism on different tissues from HGprt gene knock-out (KO) mice revealed that NAD+ concentration was significantly increased in liver but not in brain or blood of the KO mice [31]. By contrast, NAD+ was found severely decreased in fibroblast from Lesch-Nyhan patients [29]. These results and ours demonstrate that changes in NAD(H) metabolism occur in response to HGprt deficiency, depending both on species and tissue type, however the physiopathological consequences remain to be explored.\n Correlation of metabolic profiles with clinical severity Our results presented in the previous section established that the metabolic profile of patients significantly differed from that of controls and from that of non-LND gouty patients indicating that beyond the HGprt deficiency resides a more complex metabolic disease. We then investigated whether the six biochemical markers identified in this study could be used to assess the severity of the disease. We found that this was clearly not the case since statistical analyses showed no significant differences for the six biomarkers between the different classes of patients (Figure 5 A to F). However, it should be emphasized that for the two most severe forms of the disease (LND and HND) self-injurious behaviors and/or neuromuscular symptoms are easily diagnosed and the biomarkers in these cases could mostly be used for confirmation together with HGprt activity measurement. For the last group of patients suffering from hyperuricemia but presenting no neurobehavioral disturbances, HRH group, diagnosis often happens much later during life, frequently in adulthood (see Figure 2A). For these cases, the biochemical markers described here will be very useful to facilitate diagnosis at an early stage of the disease. The usefulness of these biomarkers would be further amplified if systematic search for hyperuricemia at birth was envisioned.Figure 5\nChanges in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares).\n\nChanges in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares).\nWhy is there no clear correlation between the purine and pyrimidine metabolic profiles and the severity of the disease? A likely possibility is that the metabolic profiles, being derived from red blood cells of children or adults, does not fully reflect what happens in other cell types (especially neural tissues) and/or during embryonic development. A general question about the biomarkers identified in this study is whether they could be causative of some aspects of the pathology, as it was previously hypothesized concerning AICAR accumulation and the potential toxicity of this metabolite [32]. Massive accumulation of AICAR and its derivatives in Atic deficiency is associated with a devastating neurological disease involving profound mental retardation, epilepsy, dysmorphic features and congenital blindness [22]. In addition, AICAR is an inhibitor of the bi-functional enzyme Adenylosuccinate lyase (Adsl; Figure 1) and a deficiency of this enzyme also causes psychomotor retardation and autism in humans [33]. Indeed, the significant increase of succinyl-AMP (Figure 4H) in red blood cells of LN patients is in favor of a possible inhibition by AICAR of Adsl. AICAR, because of its structural similarity with AMP [34], is also a known activator of the AMP-activated protein kinase (AMPK), a homeostatic regulator of energy levels in the cell and influences the activity of a number of AMP-sensitive enzymes [35]. Accumulation of AICAR could have pleiotropic effects in the brain that could explain some of the neurological symptoms of Lesch-Nyhan patients. To establish a possible correlative link between AICAR accumulation and the severity of neurological symptoms in Lesch-Nyhan patients, metabolic analyses on cerebrospinal fluid would be more conclusive; however this biological material is not generally available. Of note, despite these difficulties, we could measure metabolic content in cerebrospinal fluid of few LND patients (8 patients) and healthy controls (6 patients). Even though purine derivatives were at very low concentration in these samples, we found some AICAR in its riboside form (AICAr) in Lesch-Nyhan patient cerebrospinal fluid but not in the controls (I.C-P. and B.P. unpublished results).\nOur analysis on the LND patient erythrocytes also showed that the ATP concentration was significantly lower when compared to healthy control and/or gouty patients, as already observed by others [36]. A significant decrease in GTP concentration was also found (AUC 0.74, Additional file 1: Figure S2), thus confirming previous in vitro results obtained on human neuronal tissue culture [37]. The combined ATP and GTP depletion in erythrocytes could reflect the situation in the brain, which, like the erythrocyte, is largely dependent on salvage pathways to sustain its ATP and GTP levels. Because ATP is a downstream product of purine metabolism, HGprt deficiency results in energy limitation. Present knowledge assumes that defective dopaminergic transmission is an important cause for neurological deficit in LND [12], however the mechanisms responsible for dopamine loss in HGprt deficiency is still an enigma. Shortage of specific nucleotides may cause this abnormality through the inhibition of nigrostriatal axonal arborization at a developmental stage sensitive to nucleotide availability [13,14].\nOur results presented in the previous section established that the metabolic profile of patients significantly differed from that of controls and from that of non-LND gouty patients indicating that beyond the HGprt deficiency resides a more complex metabolic disease. We then investigated whether the six biochemical markers identified in this study could be used to assess the severity of the disease. We found that this was clearly not the case since statistical analyses showed no significant differences for the six biomarkers between the different classes of patients (Figure 5 A to F). However, it should be emphasized that for the two most severe forms of the disease (LND and HND) self-injurious behaviors and/or neuromuscular symptoms are easily diagnosed and the biomarkers in these cases could mostly be used for confirmation together with HGprt activity measurement. For the last group of patients suffering from hyperuricemia but presenting no neurobehavioral disturbances, HRH group, diagnosis often happens much later during life, frequently in adulthood (see Figure 2A). For these cases, the biochemical markers described here will be very useful to facilitate diagnosis at an early stage of the disease. The usefulness of these biomarkers would be further amplified if systematic search for hyperuricemia at birth was envisioned.Figure 5\nChanges in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares).\n\nChanges in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares).\nWhy is there no clear correlation between the purine and pyrimidine metabolic profiles and the severity of the disease? A likely possibility is that the metabolic profiles, being derived from red blood cells of children or adults, does not fully reflect what happens in other cell types (especially neural tissues) and/or during embryonic development. A general question about the biomarkers identified in this study is whether they could be causative of some aspects of the pathology, as it was previously hypothesized concerning AICAR accumulation and the potential toxicity of this metabolite [32]. Massive accumulation of AICAR and its derivatives in Atic deficiency is associated with a devastating neurological disease involving profound mental retardation, epilepsy, dysmorphic features and congenital blindness [22]. In addition, AICAR is an inhibitor of the bi-functional enzyme Adenylosuccinate lyase (Adsl; Figure 1) and a deficiency of this enzyme also causes psychomotor retardation and autism in humans [33]. Indeed, the significant increase of succinyl-AMP (Figure 4H) in red blood cells of LN patients is in favor of a possible inhibition by AICAR of Adsl. AICAR, because of its structural similarity with AMP [34], is also a known activator of the AMP-activated protein kinase (AMPK), a homeostatic regulator of energy levels in the cell and influences the activity of a number of AMP-sensitive enzymes [35]. Accumulation of AICAR could have pleiotropic effects in the brain that could explain some of the neurological symptoms of Lesch-Nyhan patients. To establish a possible correlative link between AICAR accumulation and the severity of neurological symptoms in Lesch-Nyhan patients, metabolic analyses on cerebrospinal fluid would be more conclusive; however this biological material is not generally available. Of note, despite these difficulties, we could measure metabolic content in cerebrospinal fluid of few LND patients (8 patients) and healthy controls (6 patients). Even though purine derivatives were at very low concentration in these samples, we found some AICAR in its riboside form (AICAr) in Lesch-Nyhan patient cerebrospinal fluid but not in the controls (I.C-P. and B.P. unpublished results).\nOur analysis on the LND patient erythrocytes also showed that the ATP concentration was significantly lower when compared to healthy control and/or gouty patients, as already observed by others [36]. A significant decrease in GTP concentration was also found (AUC 0.74, Additional file 1: Figure S2), thus confirming previous in vitro results obtained on human neuronal tissue culture [37]. The combined ATP and GTP depletion in erythrocytes could reflect the situation in the brain, which, like the erythrocyte, is largely dependent on salvage pathways to sustain its ATP and GTP levels. Because ATP is a downstream product of purine metabolism, HGprt deficiency results in energy limitation. Present knowledge assumes that defective dopaminergic transmission is an important cause for neurological deficit in LND [12], however the mechanisms responsible for dopamine loss in HGprt deficiency is still an enigma. Shortage of specific nucleotides may cause this abnormality through the inhibition of nigrostriatal axonal arborization at a developmental stage sensitive to nucleotide availability [13,14].", "The French cohort of Lesch-Nyhan patients was split into the three approved sub-groups [3] depending on the degree of neurological disturbances, from none to severe: HRH, HND, LND. It should be stressed that the average diagnosis age of the patient of the 3 groups varies significantly due to the obviousness of the most severe symptoms (Figure 2A). Sequencing analysis of the HPRT1 gene revealed 61 different mutations among these 85 patients, spanning 65 families, 27 of which were novel. Of note, all these mutations including the 27 newly identified are listed in http://www.lesch-nyhan.org/en/research/mutations-database/. While the nature of the mutations was clearly not evenly distributed in the three groups (Figure 2B), we found that the location of the mutation was not a good prognostic marker of the severity of the disease (Figure 2C). The mutations were indeed scattered along the gene and no hot clusters were identified. This shows that multiple mutations of HPRT1 can cause the unique Lesch-Nyhan disease. Within the LND group, 54 Lesch-Nyhan patients, spanning 47 families were analyzed. We found 45 different mutations distributed throughout the gene. For the Variants a total of 16 mutations were found in 19 HND patients (12 families) and in 12 HRH patients (6 families). Importantly, in LND, only 32% of mutations are missense, while 68% of the mutations were deletion, insertion, nonsense and splicing mutations (Figure 2B). Approximately half of the deletions were large intragenic deletions with loss of one or more exons. All mutations in introns gave rise to splicing error mutations and to LND. For the Variant forms HND and HRH, this tendency is completely reversed with a majority of missense mutations (88%) and the quasi-absence of deletion, nonsense and splicing mutations (Figure 2B). The difference in the type of mutations between LND and Variants suggests that mutations more susceptible to result in null enzymatic function or in abnormal protein conformation are more likely to cause the severe phenotype LND. By contrast, in the Variant forms, the missense mutations may allow some residual activity of the protein leading to a less severe phenotype.Figure 2\nGenotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family.\n\nGenotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family.", "Blood samples from patients and controls were used to measure intracellular metabolite content in red blood cells. Because LND affects purine metabolism, we monitored the level of purine nucleotides, nucleosides and bases. In the same separation experiment we also measured pyrimidine nucleotides, nucleosides and bases as well as NAD(H) (Nicotinamide adenine di-nucleotide) and their precursors (Figure 3A). A comparison of representative chromatograms obtained with red blood cell extracts from a control and a HRH patient is presented in Figure 3B. Of note, GMP one of the products of HGprt (Figure 1) is not detectable in any control or Lesch-Nyhan patient red blood extracts. This observation is consistent with a previous one in which the presence of only the di- and tri-phosphate forms of guanylic nucleotides were detected in patient erythrocytes [21]. For each metabolite analyzed, statistical analyses of the data were conducted by drawing ROC (Receiving Operating Characteristic) curves and deducing the cognate AUC (Area Under Curve, see Methods for details). For eight metabolites the AUC were comprised between 0.8 and 1 (Figure 4A and Additional file 1: Figure S1) indicating a fair to excellent accuracy of the test in discriminating the groups being tested. Ten other metabolites presented some apparent differences between the control and LN patients, but statistical analyses revealed that for these metabolites AUC were between 0.80 and 0.5 and therefore had low or no significance (Additional file 1: Figure S2). Among the eight metabolites, significantly discriminating Lesch-Nyhan patients versus controls, are five purine derivatives (AICAR, hypoxanthine, ZTP (triphosphate form of AICAR), ATP and S-AMP), one pyrimidine (UMP) and precursors of NAD(H) (nicotinic acid and nicotinamide and/or nicotinamide riboside, these two last metabolites cannot be discriminated under our separation conditions). Importantly, some of these markers could reflect a more general hyperuricemia problem rather than being “specific” to HGprt deficiency. We therefore performed a similar metabolic analysis from blood samples from 13 hyperuricemic patients presenting normal HGprt activity (Figure 4 and Additional file 1: Table S1). In these patients two of the eight markers, i.e. hypoxanthine and UMP, were also accumulated in red blood cells (statistical results, Figure 4B and E), thus suggesting that hypoxanthine and UMP changes are more associated to hyperuricemia than to HGprt deficiency. In addition, while five of the thirteen hyperuricemic patients were treated with xanthine oxydoreductase inhibitor Allopurinol (Additional file 1: Table S1), we did not find any statistically significant difference on metabolites between treated and non-treated patients. From these analyses, we conclude that six metabolites significantly discriminate between HGprt deficient patients and healthy controls. We also performed a non parametric correlation analysis to determine is these six metabolites associated with HGprt deficiency could serve as biomarker of Lesch-Nyhan disease at any age of patients. For five of them (AICAR, ZTP, nicotinamide (riboside), ATP and S-AMP) we found no influence of age on the statistical relevance (p > 0.13, non-statistical significant correlation with age of patient for any of these metabolites) of using these metabolites as biomarkers for Lesch-Nyhan diagnosis. By contrast, for nicotinic acid, we found that strength of the biomarker significantly (p = 0.005, statistical significance **) decreases with age of the patient and is even not statistically significant for patients over 50 years old. Nevertheless, for these older patients the five other biomarkers are still fully statistically relevant for diagnosis of Lesch-Nyhan disease.Figure 3\nSeparation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions.Figure 4\nIdentification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks.\n\nSeparation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions.\n\nIdentification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks.\nAmong the six the metabolites, AICAR and ZTP, have very high AUC (0.99 and 0.92 respectively, Figure 4A and C and Additional file 1: Figure S1) and are therefore highly predictive biochemical markers. Accumulation of ZTP in LN patients has been reported previously on a small number of patients (5 LND + 1 LN variant) [21]. Our statistical analysis on a much larger cohort of LN patients definitely validates this biomarker. It should be stressed however that AICAR and ZTP accumulations have been reported in few patients with other purine metabolic disorders: purine nucleoside phosphorylase deficiency (Pnp; 1 patient), phosphorybosyl pyrophosphate (PRPP) synthetase over-activity (1 patient), and AICAR transformylase IMP cyclohydrolase deficiency (Atic, 1 patient) [21,22] and therefore could not be fully discriminative for diagnosis. Nonetheless, the combination of these two AICAR derivatives with the four other identified biomarkers with high AUC strongly increases the prognostic power. Importantly, our metabolic analysis was done on red blood cells which are prone to accumulate AICAR [23] and therefore amplifies this metabolic signal. Indeed, AICAR accumulation was not detected on patient fibroblasts (I.C.P. and B.P. unpublished results). It thus appears that red blood cells, which are easy to collect, are also providentially propitious to the use of these biomarkers. Of note, one could expect that alteration of HGprt activity in LN patients lead to a decrease in IMP pool, but we found no significant difference in IMP content between LN patients and healthy controls (Additional file 1: Figure S2). One possible explanation for this is that, in erythrocytes, AICAR is used as a precursor of a metabolic bypass that can replenish the IMP pool in a HGprt-deficient context (Figure 1) [24].\nTo address the role of HGprt in the pathogenesis of LND, several in vitro studies have been already performed comparing nucleotide metabolism in different cell types (lymphoblast and fibroblasts) from LND patients versus subjects with normal HGprt activity, or tissue/cell lines from HPRT1 gene knock-out (KO) mice. The results were rather inconsistent [25-28]. Contributing factors to explain such variations have included culture conditions, unappreciated differences in growth rates and variability in precursor concentrations (e.g. nicotinamide) in different culture conditions [26,27,29]. Here, the analysis of erythrocytes, a single cell type directly sampled from patients, allowed to bypass these problems. Some of these earlier studies documented altered pyridine and purine nucleotide metabolite content in LND erythrocytes showing elevated NAD(H), as well as low GTP and ATP concentrations [30]. In addition, studies of NAD(H) metabolism on different tissues from HGprt gene knock-out (KO) mice revealed that NAD+ concentration was significantly increased in liver but not in brain or blood of the KO mice [31]. By contrast, NAD+ was found severely decreased in fibroblast from Lesch-Nyhan patients [29]. These results and ours demonstrate that changes in NAD(H) metabolism occur in response to HGprt deficiency, depending both on species and tissue type, however the physiopathological consequences remain to be explored.", "Our results presented in the previous section established that the metabolic profile of patients significantly differed from that of controls and from that of non-LND gouty patients indicating that beyond the HGprt deficiency resides a more complex metabolic disease. We then investigated whether the six biochemical markers identified in this study could be used to assess the severity of the disease. We found that this was clearly not the case since statistical analyses showed no significant differences for the six biomarkers between the different classes of patients (Figure 5 A to F). However, it should be emphasized that for the two most severe forms of the disease (LND and HND) self-injurious behaviors and/or neuromuscular symptoms are easily diagnosed and the biomarkers in these cases could mostly be used for confirmation together with HGprt activity measurement. For the last group of patients suffering from hyperuricemia but presenting no neurobehavioral disturbances, HRH group, diagnosis often happens much later during life, frequently in adulthood (see Figure 2A). For these cases, the biochemical markers described here will be very useful to facilitate diagnosis at an early stage of the disease. The usefulness of these biomarkers would be further amplified if systematic search for hyperuricemia at birth was envisioned.Figure 5\nChanges in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares).\n\nChanges in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares).\nWhy is there no clear correlation between the purine and pyrimidine metabolic profiles and the severity of the disease? A likely possibility is that the metabolic profiles, being derived from red blood cells of children or adults, does not fully reflect what happens in other cell types (especially neural tissues) and/or during embryonic development. A general question about the biomarkers identified in this study is whether they could be causative of some aspects of the pathology, as it was previously hypothesized concerning AICAR accumulation and the potential toxicity of this metabolite [32]. Massive accumulation of AICAR and its derivatives in Atic deficiency is associated with a devastating neurological disease involving profound mental retardation, epilepsy, dysmorphic features and congenital blindness [22]. In addition, AICAR is an inhibitor of the bi-functional enzyme Adenylosuccinate lyase (Adsl; Figure 1) and a deficiency of this enzyme also causes psychomotor retardation and autism in humans [33]. Indeed, the significant increase of succinyl-AMP (Figure 4H) in red blood cells of LN patients is in favor of a possible inhibition by AICAR of Adsl. AICAR, because of its structural similarity with AMP [34], is also a known activator of the AMP-activated protein kinase (AMPK), a homeostatic regulator of energy levels in the cell and influences the activity of a number of AMP-sensitive enzymes [35]. Accumulation of AICAR could have pleiotropic effects in the brain that could explain some of the neurological symptoms of Lesch-Nyhan patients. To establish a possible correlative link between AICAR accumulation and the severity of neurological symptoms in Lesch-Nyhan patients, metabolic analyses on cerebrospinal fluid would be more conclusive; however this biological material is not generally available. Of note, despite these difficulties, we could measure metabolic content in cerebrospinal fluid of few LND patients (8 patients) and healthy controls (6 patients). Even though purine derivatives were at very low concentration in these samples, we found some AICAR in its riboside form (AICAr) in Lesch-Nyhan patient cerebrospinal fluid but not in the controls (I.C-P. and B.P. unpublished results).\nOur analysis on the LND patient erythrocytes also showed that the ATP concentration was significantly lower when compared to healthy control and/or gouty patients, as already observed by others [36]. A significant decrease in GTP concentration was also found (AUC 0.74, Additional file 1: Figure S2), thus confirming previous in vitro results obtained on human neuronal tissue culture [37]. The combined ATP and GTP depletion in erythrocytes could reflect the situation in the brain, which, like the erythrocyte, is largely dependent on salvage pathways to sustain its ATP and GTP levels. Because ATP is a downstream product of purine metabolism, HGprt deficiency results in energy limitation. Present knowledge assumes that defective dopaminergic transmission is an important cause for neurological deficit in LND [12], however the mechanisms responsible for dopamine loss in HGprt deficiency is still an enigma. Shortage of specific nucleotides may cause this abnormality through the inhibition of nigrostriatal axonal arborization at a developmental stage sensitive to nucleotide availability [13,14].", "We documented the molecular and biochemical analysis of Lesch-Nyhan disease in a large cohort of 139 patients from France belonging to 112 unrelated families. Sequence analysis of the HPRT1 gene revealed that mutations were scattered along the gene and no hot clusters were identified. Importantly, within the most severe phenotypic group (LND) 68% of the mutations were deletion, insertion, nonsense and splicing mutations, mostly resulting in undetectable enzyme function. In Variant forms, HND and HRH, this tendency is completely reversed with a majority of missense mutations (88%), thus leading to residual HGprt activity. The effect of the HPRT1 mutations on residual HGprt enzyme activity is a relevant factor contributing to disease phenotype. Diversity of inborn errors in nucleotide metabolism leading to a large spectrum of common neurodevelopemental symptoms makes the diagnosis difficult, especially for patients with the less severe forms of these various diseases. Our chromatographic method allowed us to identify six metabolites (dramatic increase for AICAR, ZTP, nicotinic acid, nicotinamide (riboside), S-AMP and severe ATP depletion) statistically fully associated to HGprt deficiency. These six metabolites define new specific biomarkers since they are not significantly modified in hyperuricemic patients without HGprt-deficiency. These new biochemical markers are easy to measure on red blood cell extracts and their combination increases the probability of an early and reliable diagnose of less severe forms of HGprt deficiency." ]
[ "introduction", "materials|methods", null, null, null, null, null, "results", null, null, null, "conclusion" ]
[ "HGprt", "Hypoxanthine-guanine phosphoribosyltransferase", "Deficiency", "Genotype", "Metabolome", "Lesch-Nyhan disease", "Variants", "AICAR" ]
Background: The ubiquitous distribution of purine derivatives in human tissues and the high number of cellular functions in which these metabolites are involved explain why purine metabolism impairments lead to so many various diseases, i.e. >35 genetic pathologies are associated to purine metabolism genes (see [1] for review). The early recognition of these patients is required because of the progressive, irreversible and devastating consequences of these deficiencies [2]. A lot of these purine-associated pathologies share neurological, muscular, hematological and immunological symptoms. These common symptoms are most likely the consequence of nucleotide depletion and/or accumulation of toxic intermediates altering various biological functions, many of these deleterious effects taking place during embryonic development. Yet, the molecular mechanisms leading to these alterations are largely unknown and remain to be identified. Among purine-metabolism pathologies, the Lesch-Nyhan (LN) disease is a rare X-linked genetic disease, characterized in the most severe form by overproduction of uric acid, gout, severe motor disability, neurological deficiency and self-injurious behavior [3-5]. Milder forms of the disease, named Lesch-Nyhan Variants (LNV), exhibit less pronounced neurological and/or motor impairments and no self-injurious behavior [6-10]. A single mutated gene, HPRT1, is responsible for the LN pathology. HPRT1 encodes the Hypoxanthine/Guanine phosphorybosyl transferase enzyme HGprt involved in two steps of the purine salvage pathway, i.e. conversion of hypoxanthine and guanine to inosine monophosphate (IMP) and guanosine monophosphate (GMP), respectively (Figure 1). The mutations are highly heterogeneous, with more than 400 different mutations already documented (http://www.lesch-nyhan.org/en/research/mutations-database/). Depending on the mutation, the enzyme exhibits none or residual enzymatic activity. Residual activity correlates with the severity of symptoms and in particular with the degree of neurological disturbances [3,11]. Hence, a phenotypic classification in three groups has now been accepted [3,4,9]. Lesch-Nyhan Disease (LND) patients display neurological deficiencies and self-injurious behaviors; they usually have undetectable HGprt activity. A second set of patients with various degrees of neuromuscular symptoms but no self-injurious behavior were grouped in HND (HGprt-related Neurological Dysfunction), they typically have a residual HGprt activity in live fibroblast assay. Finally, a third group of patients presenting no neurobehavioral disturbances and symptoms secondary to hyperuricemia only were classified as HRH (HGprt-Related Hyperuricemia) and generally have an enzymatic activity above 10%. Despite this correlation between enzymatic activity in live fibroblast and neurological disturbances, the underlying molecular mechanisms responsible for neurobehavioral troubles remain unknown. HGprt deficiency might affect homeostasis of purine metabolites, some of which play critical roles in neuronal differentiation and function and are toxic for the brain. Studies have shown that neurobehavioral syndrome is linked to reduction of dopamine in the basal ganglia [12] and demonstrated that HGprt deficiency is accompanied by deregulation of important pathways involved in the development of dopaminergic neurons [13-15]. The lack of a functional purine salvage pathway causes purine limitation in both undifferentiated and differentiated cells, as well as profound loss of dopamine content [16]. These results imply an unknown mechanism by which intracellular purine level modulates dopamine level.Figure 1 Schematic representation of the human de novo , downstream and salvage purine pathways. AICAr : 5-Amino-imidazole-4-carboxamide-1-β-D-ribofuranoside ; AICAR: AICAr 5’-monophosphate. AMP: Adenosine 5’-monophosphate; GMP: Guanosine 5’-monophosphate; IMP: Inosine 5’-monophosphate. PRPP: 5-phosphoribosyl-1-pyrophosphate. S-AMP: Succinyl-AMP. ZTP: AICAr 5’-triphosphate. Enzymes (in red): Adk: adenosine kinase; Adsl: Adenylosuccinate lyase; Atic: AICAR transformylase IMP cyclohydrolase; Aprt: Adenine phosphoribosyl Transferase; HGprt: Hypoxanthine Guanine phosphoribosyl Transferase; Pnp: Purine nucleoside phosphorylase Xo: Xanthine oxydoreductase. Schematic representation of the human de novo , downstream and salvage purine pathways. AICAr : 5-Amino-imidazole-4-carboxamide-1-β-D-ribofuranoside ; AICAR: AICAr 5’-monophosphate. AMP: Adenosine 5’-monophosphate; GMP: Guanosine 5’-monophosphate; IMP: Inosine 5’-monophosphate. PRPP: 5-phosphoribosyl-1-pyrophosphate. S-AMP: Succinyl-AMP. ZTP: AICAr 5’-triphosphate. Enzymes (in red): Adk: adenosine kinase; Adsl: Adenylosuccinate lyase; Atic: AICAR transformylase IMP cyclohydrolase; Aprt: Adenine phosphoribosyl Transferase; HGprt: Hypoxanthine Guanine phosphoribosyl Transferase; Pnp: Purine nucleoside phosphorylase Xo: Xanthine oxydoreductase. In this study, we took advantage of a large cohort of 139 French patients to statistically evaluate the relationship between phenotype/genotype and purine, pyrimidine and pyridine content of red blood cells. Our aim was first to identify new biological markers to facilitate diagnosis of Lesch-Nyhan patients and second to provide clues on future therapy quests. Methods: Patients and their classification From 1980 to 2014, 139 patients from 112 families were diagnosed in our laboratory (I.C.P) using HGprt enzymatic assay in red blood cells. Clinical examination and HGprt dosage revealed 98 patients with the severe LND phenotype (86 families) and 41 LN variants (26 families) with attenuated symptoms. Lesch-Nyhan patients were thereafter classified according to prior validated phenotypic classification [4,9,17,18]. Briefly, in this cohort, 98 LND patients (in 86 families) with a full phenotype presented overproduction of uric acid, gout, severe motor disability, neurological deficiency and self-injurious behavior. Among LN variants, those presenting varying degree of neuromuscular symptoms but no self-injurious behavior (26 patients in 18 families) were grouped as HND, while 14 patients in 8 families with no neurobehavioral disturbances were grouped as HRH. From 1980 to 2014, 139 patients from 112 families were diagnosed in our laboratory (I.C.P) using HGprt enzymatic assay in red blood cells. Clinical examination and HGprt dosage revealed 98 patients with the severe LND phenotype (86 families) and 41 LN variants (26 families) with attenuated symptoms. Lesch-Nyhan patients were thereafter classified according to prior validated phenotypic classification [4,9,17,18]. Briefly, in this cohort, 98 LND patients (in 86 families) with a full phenotype presented overproduction of uric acid, gout, severe motor disability, neurological deficiency and self-injurious behavior. Among LN variants, those presenting varying degree of neuromuscular symptoms but no self-injurious behavior (26 patients in 18 families) were grouped as HND, while 14 patients in 8 families with no neurobehavioral disturbances were grouped as HRH. Statement of ethical approval The patient DNA and red blood cells collections used in this study were declared (N° DC-2009-955) at the “Plateforme de Ressources Biologiques” from Necker University Hospital (Paris; France) primarily for diagnosis and re-qualified for research purpose with the written consent of each patient or their parents. The patient DNA and red blood cells collections used in this study were declared (N° DC-2009-955) at the “Plateforme de Ressources Biologiques” from Necker University Hospital (Paris; France) primarily for diagnosis and re-qualified for research purpose with the written consent of each patient or their parents. Mutation of HPRT1 The sequencing analysis was performed on 85 patients from 65 families among the 112 families of the French registry. A legal informed consent was obtained from all patients. Molecular analysis of the HPRT1 gene was performed on genomic DNA from LND (n = 54 in 47 families), HND (n = 19 in 12 families) and HRH (n = 12 in 6 families) patients isolated from whole blood, as previously described by [7]. Briefly, the PCR primers used for exons 1–9 allowed genomic sequence analyses of both intron and exon segments involved in splice sequence mutations. All 9 exons of the HPRT1 gene were amplified on 8 separate DNA fragments, with different lengths, using the kit AccuPrime GC rich for exon 1 and the kit Platinum Pfx for exons 2–9 (Invitrogen, Carlsbad, CA). The amplified fragments were purified using Illumina Exostar (Illumina) and sequenced using the same primers. The sequencing analysis was performed on 85 patients from 65 families among the 112 families of the French registry. A legal informed consent was obtained from all patients. Molecular analysis of the HPRT1 gene was performed on genomic DNA from LND (n = 54 in 47 families), HND (n = 19 in 12 families) and HRH (n = 12 in 6 families) patients isolated from whole blood, as previously described by [7]. Briefly, the PCR primers used for exons 1–9 allowed genomic sequence analyses of both intron and exon segments involved in splice sequence mutations. All 9 exons of the HPRT1 gene were amplified on 8 separate DNA fragments, with different lengths, using the kit AccuPrime GC rich for exon 1 and the kit Platinum Pfx for exons 2–9 (Invitrogen, Carlsbad, CA). The amplified fragments were purified using Illumina Exostar (Illumina) and sequenced using the same primers. Metabolic analyses All metabolite extractions were performed on the blood samples used for the clinical diagnosis of patients. Metabolite extraction was achieved by boiling 100 μl of red blood cells in 5 ml of an ethanol/HEPES 10 mM pH 7.2 (3/1) solution for 3 min at 80°C. Samples were evaporated using a rotavapor apparatus (8 min, 65°C) and the dried residue was resuspended in 500 μl of MilliQ water. Insoluble particles were removed by centrifugation (21,000 g, 4°C, 1 hour) and the supernatant was ultra-filtrated on nanosep10K Omega (Pall). Metabolites were then separated on an ICS3000 chromatography station (Dionex, Sunnyvale, USA) using a carbopac PA1 column (250 × 2 mm; Dionex) with a 0.25 ml/min flow. Elution of metabolites was achieved with a Na-Acetate (NaAc) gradient in 50 mM NaOH as follows: elution was started at 50 mM NaAc for 2 min, rising up to 75 mM in 8 min, then to 100 mM in 25 min and finally to 350 mM in 30 min, followed by a step at 350 mM for 5 min, rising to 500 mM in 10 min, kept at this Na-Ac concentration for 5 min and finally raised up to 800 mM in 10 min followed by a step at this concentration for 20 min. The resin was then equilibrated at 50 mM NaAc for 15 min before injection of a new sample. Peaks were identified by their retention time and their UV spectrum signature (Diode Array Detector Ultimate 3000 RS, Dionex) and when necessary by co-injection with standards. When sufficient blood samples were available, metabolic analyses were performed on two independent metabolite extractions from patient’s red blood cells. The following metabolite samples were obtained and analyzed: 32 samples from asymptomatic patients (48 independent extracts); 29 samples from LND patients (47 independent extracts); 15 samples from HND patients (23 independent extracts); 12 samples from HRH patients (21 independent extracts); 13 samples from non Lesch-Nyhan patients presenting hyperuricemia (25 independent extracts). Metabolite amounts were normalized to hemoglobin content in the red blood cell samples measured spectrophotometrically (546 nm) using the Drabkin’s colorimetric reagent (5 ml; Chem-Lab NV, Belgium) on 20 μl of red blood cells samples. Of note, the metabolic extractions were done on red blood cells kept frozen at −20°C since the blood sampling. Statistical analyses revealed no significant correlation between any metabolic variation and the duration of freezing. All metabolite extractions were performed on the blood samples used for the clinical diagnosis of patients. Metabolite extraction was achieved by boiling 100 μl of red blood cells in 5 ml of an ethanol/HEPES 10 mM pH 7.2 (3/1) solution for 3 min at 80°C. Samples were evaporated using a rotavapor apparatus (8 min, 65°C) and the dried residue was resuspended in 500 μl of MilliQ water. Insoluble particles were removed by centrifugation (21,000 g, 4°C, 1 hour) and the supernatant was ultra-filtrated on nanosep10K Omega (Pall). Metabolites were then separated on an ICS3000 chromatography station (Dionex, Sunnyvale, USA) using a carbopac PA1 column (250 × 2 mm; Dionex) with a 0.25 ml/min flow. Elution of metabolites was achieved with a Na-Acetate (NaAc) gradient in 50 mM NaOH as follows: elution was started at 50 mM NaAc for 2 min, rising up to 75 mM in 8 min, then to 100 mM in 25 min and finally to 350 mM in 30 min, followed by a step at 350 mM for 5 min, rising to 500 mM in 10 min, kept at this Na-Ac concentration for 5 min and finally raised up to 800 mM in 10 min followed by a step at this concentration for 20 min. The resin was then equilibrated at 50 mM NaAc for 15 min before injection of a new sample. Peaks were identified by their retention time and their UV spectrum signature (Diode Array Detector Ultimate 3000 RS, Dionex) and when necessary by co-injection with standards. When sufficient blood samples were available, metabolic analyses were performed on two independent metabolite extractions from patient’s red blood cells. The following metabolite samples were obtained and analyzed: 32 samples from asymptomatic patients (48 independent extracts); 29 samples from LND patients (47 independent extracts); 15 samples from HND patients (23 independent extracts); 12 samples from HRH patients (21 independent extracts); 13 samples from non Lesch-Nyhan patients presenting hyperuricemia (25 independent extracts). Metabolite amounts were normalized to hemoglobin content in the red blood cell samples measured spectrophotometrically (546 nm) using the Drabkin’s colorimetric reagent (5 ml; Chem-Lab NV, Belgium) on 20 μl of red blood cells samples. Of note, the metabolic extractions were done on red blood cells kept frozen at −20°C since the blood sampling. Statistical analyses revealed no significant correlation between any metabolic variation and the duration of freezing. Statistical analysis Qualitative data were described by the sample size and percentage of each variable class. For quantitative data, we used quartile based indices (median, first-third quartile, min-max) to summarize variables and Wilcoxon rank-sum test to perform group comparisons. To summarize informative value of each metabolite as a diagnostic biomarker, we computed the area under the curve of the Receiver Operating Curve (AUC-ROC) [19]. Briefly AUC-ROC evaluates the ability of a quantitative marker to discriminate between two groups (for example patients and controls), a value of 1 indicates a perfect discrimination and 0.5 a complete absence of discrimination. If we enumerate all possible patient-control pairs, AUC-ROC can also be interpreted as the percentage of correctly ordered pairs, i.e. pairs where the patient marker level is higher than the control one, if the marker is expected to be increased in patients, and reciprocally if the marker is expected to be higher in controls. All computations were performed with the R statistical package v2.5 (http://www.r-project.org/). For the ROC analyses, we used the R ROCR library [20]. All tests were performed using a bilateral formulation. P-values less than 5% were considered as statistically significant. All metabolic distributions and ROC curves were drawn using Graph-Pad Prism software. Qualitative data were described by the sample size and percentage of each variable class. For quantitative data, we used quartile based indices (median, first-third quartile, min-max) to summarize variables and Wilcoxon rank-sum test to perform group comparisons. To summarize informative value of each metabolite as a diagnostic biomarker, we computed the area under the curve of the Receiver Operating Curve (AUC-ROC) [19]. Briefly AUC-ROC evaluates the ability of a quantitative marker to discriminate between two groups (for example patients and controls), a value of 1 indicates a perfect discrimination and 0.5 a complete absence of discrimination. If we enumerate all possible patient-control pairs, AUC-ROC can also be interpreted as the percentage of correctly ordered pairs, i.e. pairs where the patient marker level is higher than the control one, if the marker is expected to be increased in patients, and reciprocally if the marker is expected to be higher in controls. All computations were performed with the R statistical package v2.5 (http://www.r-project.org/). For the ROC analyses, we used the R ROCR library [20]. All tests were performed using a bilateral formulation. P-values less than 5% were considered as statistically significant. All metabolic distributions and ROC curves were drawn using Graph-Pad Prism software. Patients and their classification: From 1980 to 2014, 139 patients from 112 families were diagnosed in our laboratory (I.C.P) using HGprt enzymatic assay in red blood cells. Clinical examination and HGprt dosage revealed 98 patients with the severe LND phenotype (86 families) and 41 LN variants (26 families) with attenuated symptoms. Lesch-Nyhan patients were thereafter classified according to prior validated phenotypic classification [4,9,17,18]. Briefly, in this cohort, 98 LND patients (in 86 families) with a full phenotype presented overproduction of uric acid, gout, severe motor disability, neurological deficiency and self-injurious behavior. Among LN variants, those presenting varying degree of neuromuscular symptoms but no self-injurious behavior (26 patients in 18 families) were grouped as HND, while 14 patients in 8 families with no neurobehavioral disturbances were grouped as HRH. Statement of ethical approval: The patient DNA and red blood cells collections used in this study were declared (N° DC-2009-955) at the “Plateforme de Ressources Biologiques” from Necker University Hospital (Paris; France) primarily for diagnosis and re-qualified for research purpose with the written consent of each patient or their parents. Mutation of HPRT1: The sequencing analysis was performed on 85 patients from 65 families among the 112 families of the French registry. A legal informed consent was obtained from all patients. Molecular analysis of the HPRT1 gene was performed on genomic DNA from LND (n = 54 in 47 families), HND (n = 19 in 12 families) and HRH (n = 12 in 6 families) patients isolated from whole blood, as previously described by [7]. Briefly, the PCR primers used for exons 1–9 allowed genomic sequence analyses of both intron and exon segments involved in splice sequence mutations. All 9 exons of the HPRT1 gene were amplified on 8 separate DNA fragments, with different lengths, using the kit AccuPrime GC rich for exon 1 and the kit Platinum Pfx for exons 2–9 (Invitrogen, Carlsbad, CA). The amplified fragments were purified using Illumina Exostar (Illumina) and sequenced using the same primers. Metabolic analyses: All metabolite extractions were performed on the blood samples used for the clinical diagnosis of patients. Metabolite extraction was achieved by boiling 100 μl of red blood cells in 5 ml of an ethanol/HEPES 10 mM pH 7.2 (3/1) solution for 3 min at 80°C. Samples were evaporated using a rotavapor apparatus (8 min, 65°C) and the dried residue was resuspended in 500 μl of MilliQ water. Insoluble particles were removed by centrifugation (21,000 g, 4°C, 1 hour) and the supernatant was ultra-filtrated on nanosep10K Omega (Pall). Metabolites were then separated on an ICS3000 chromatography station (Dionex, Sunnyvale, USA) using a carbopac PA1 column (250 × 2 mm; Dionex) with a 0.25 ml/min flow. Elution of metabolites was achieved with a Na-Acetate (NaAc) gradient in 50 mM NaOH as follows: elution was started at 50 mM NaAc for 2 min, rising up to 75 mM in 8 min, then to 100 mM in 25 min and finally to 350 mM in 30 min, followed by a step at 350 mM for 5 min, rising to 500 mM in 10 min, kept at this Na-Ac concentration for 5 min and finally raised up to 800 mM in 10 min followed by a step at this concentration for 20 min. The resin was then equilibrated at 50 mM NaAc for 15 min before injection of a new sample. Peaks were identified by their retention time and their UV spectrum signature (Diode Array Detector Ultimate 3000 RS, Dionex) and when necessary by co-injection with standards. When sufficient blood samples were available, metabolic analyses were performed on two independent metabolite extractions from patient’s red blood cells. The following metabolite samples were obtained and analyzed: 32 samples from asymptomatic patients (48 independent extracts); 29 samples from LND patients (47 independent extracts); 15 samples from HND patients (23 independent extracts); 12 samples from HRH patients (21 independent extracts); 13 samples from non Lesch-Nyhan patients presenting hyperuricemia (25 independent extracts). Metabolite amounts were normalized to hemoglobin content in the red blood cell samples measured spectrophotometrically (546 nm) using the Drabkin’s colorimetric reagent (5 ml; Chem-Lab NV, Belgium) on 20 μl of red blood cells samples. Of note, the metabolic extractions were done on red blood cells kept frozen at −20°C since the blood sampling. Statistical analyses revealed no significant correlation between any metabolic variation and the duration of freezing. Statistical analysis: Qualitative data were described by the sample size and percentage of each variable class. For quantitative data, we used quartile based indices (median, first-third quartile, min-max) to summarize variables and Wilcoxon rank-sum test to perform group comparisons. To summarize informative value of each metabolite as a diagnostic biomarker, we computed the area under the curve of the Receiver Operating Curve (AUC-ROC) [19]. Briefly AUC-ROC evaluates the ability of a quantitative marker to discriminate between two groups (for example patients and controls), a value of 1 indicates a perfect discrimination and 0.5 a complete absence of discrimination. If we enumerate all possible patient-control pairs, AUC-ROC can also be interpreted as the percentage of correctly ordered pairs, i.e. pairs where the patient marker level is higher than the control one, if the marker is expected to be increased in patients, and reciprocally if the marker is expected to be higher in controls. All computations were performed with the R statistical package v2.5 (http://www.r-project.org/). For the ROC analyses, we used the R ROCR library [20]. All tests were performed using a bilateral formulation. P-values less than 5% were considered as statistically significant. All metabolic distributions and ROC curves were drawn using Graph-Pad Prism software. Results and discussion: Genotype/Phenotype classification of full LND and LN Variants The French cohort of Lesch-Nyhan patients was split into the three approved sub-groups [3] depending on the degree of neurological disturbances, from none to severe: HRH, HND, LND. It should be stressed that the average diagnosis age of the patient of the 3 groups varies significantly due to the obviousness of the most severe symptoms (Figure 2A). Sequencing analysis of the HPRT1 gene revealed 61 different mutations among these 85 patients, spanning 65 families, 27 of which were novel. Of note, all these mutations including the 27 newly identified are listed in http://www.lesch-nyhan.org/en/research/mutations-database/. While the nature of the mutations was clearly not evenly distributed in the three groups (Figure 2B), we found that the location of the mutation was not a good prognostic marker of the severity of the disease (Figure 2C). The mutations were indeed scattered along the gene and no hot clusters were identified. This shows that multiple mutations of HPRT1 can cause the unique Lesch-Nyhan disease. Within the LND group, 54 Lesch-Nyhan patients, spanning 47 families were analyzed. We found 45 different mutations distributed throughout the gene. For the Variants a total of 16 mutations were found in 19 HND patients (12 families) and in 12 HRH patients (6 families). Importantly, in LND, only 32% of mutations are missense, while 68% of the mutations were deletion, insertion, nonsense and splicing mutations (Figure 2B). Approximately half of the deletions were large intragenic deletions with loss of one or more exons. All mutations in introns gave rise to splicing error mutations and to LND. For the Variant forms HND and HRH, this tendency is completely reversed with a majority of missense mutations (88%) and the quasi-absence of deletion, nonsense and splicing mutations (Figure 2B). The difference in the type of mutations between LND and Variants suggests that mutations more susceptible to result in null enzymatic function or in abnormal protein conformation are more likely to cause the severe phenotype LND. By contrast, in the Variant forms, the missense mutations may allow some residual activity of the protein leading to a less severe phenotype.Figure 2 Genotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family. Genotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family. The French cohort of Lesch-Nyhan patients was split into the three approved sub-groups [3] depending on the degree of neurological disturbances, from none to severe: HRH, HND, LND. It should be stressed that the average diagnosis age of the patient of the 3 groups varies significantly due to the obviousness of the most severe symptoms (Figure 2A). Sequencing analysis of the HPRT1 gene revealed 61 different mutations among these 85 patients, spanning 65 families, 27 of which were novel. Of note, all these mutations including the 27 newly identified are listed in http://www.lesch-nyhan.org/en/research/mutations-database/. While the nature of the mutations was clearly not evenly distributed in the three groups (Figure 2B), we found that the location of the mutation was not a good prognostic marker of the severity of the disease (Figure 2C). The mutations were indeed scattered along the gene and no hot clusters were identified. This shows that multiple mutations of HPRT1 can cause the unique Lesch-Nyhan disease. Within the LND group, 54 Lesch-Nyhan patients, spanning 47 families were analyzed. We found 45 different mutations distributed throughout the gene. For the Variants a total of 16 mutations were found in 19 HND patients (12 families) and in 12 HRH patients (6 families). Importantly, in LND, only 32% of mutations are missense, while 68% of the mutations were deletion, insertion, nonsense and splicing mutations (Figure 2B). Approximately half of the deletions were large intragenic deletions with loss of one or more exons. All mutations in introns gave rise to splicing error mutations and to LND. For the Variant forms HND and HRH, this tendency is completely reversed with a majority of missense mutations (88%) and the quasi-absence of deletion, nonsense and splicing mutations (Figure 2B). The difference in the type of mutations between LND and Variants suggests that mutations more susceptible to result in null enzymatic function or in abnormal protein conformation are more likely to cause the severe phenotype LND. By contrast, in the Variant forms, the missense mutations may allow some residual activity of the protein leading to a less severe phenotype.Figure 2 Genotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family. Genotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family. Identification of new biochemical markers for diagnosis of HGprt deficiency Blood samples from patients and controls were used to measure intracellular metabolite content in red blood cells. Because LND affects purine metabolism, we monitored the level of purine nucleotides, nucleosides and bases. In the same separation experiment we also measured pyrimidine nucleotides, nucleosides and bases as well as NAD(H) (Nicotinamide adenine di-nucleotide) and their precursors (Figure 3A). A comparison of representative chromatograms obtained with red blood cell extracts from a control and a HRH patient is presented in Figure 3B. Of note, GMP one of the products of HGprt (Figure 1) is not detectable in any control or Lesch-Nyhan patient red blood extracts. This observation is consistent with a previous one in which the presence of only the di- and tri-phosphate forms of guanylic nucleotides were detected in patient erythrocytes [21]. For each metabolite analyzed, statistical analyses of the data were conducted by drawing ROC (Receiving Operating Characteristic) curves and deducing the cognate AUC (Area Under Curve, see Methods for details). For eight metabolites the AUC were comprised between 0.8 and 1 (Figure 4A and Additional file 1: Figure S1) indicating a fair to excellent accuracy of the test in discriminating the groups being tested. Ten other metabolites presented some apparent differences between the control and LN patients, but statistical analyses revealed that for these metabolites AUC were between 0.80 and 0.5 and therefore had low or no significance (Additional file 1: Figure S2). Among the eight metabolites, significantly discriminating Lesch-Nyhan patients versus controls, are five purine derivatives (AICAR, hypoxanthine, ZTP (triphosphate form of AICAR), ATP and S-AMP), one pyrimidine (UMP) and precursors of NAD(H) (nicotinic acid and nicotinamide and/or nicotinamide riboside, these two last metabolites cannot be discriminated under our separation conditions). Importantly, some of these markers could reflect a more general hyperuricemia problem rather than being “specific” to HGprt deficiency. We therefore performed a similar metabolic analysis from blood samples from 13 hyperuricemic patients presenting normal HGprt activity (Figure 4 and Additional file 1: Table S1). In these patients two of the eight markers, i.e. hypoxanthine and UMP, were also accumulated in red blood cells (statistical results, Figure 4B and E), thus suggesting that hypoxanthine and UMP changes are more associated to hyperuricemia than to HGprt deficiency. In addition, while five of the thirteen hyperuricemic patients were treated with xanthine oxydoreductase inhibitor Allopurinol (Additional file 1: Table S1), we did not find any statistically significant difference on metabolites between treated and non-treated patients. From these analyses, we conclude that six metabolites significantly discriminate between HGprt deficient patients and healthy controls. We also performed a non parametric correlation analysis to determine is these six metabolites associated with HGprt deficiency could serve as biomarker of Lesch-Nyhan disease at any age of patients. For five of them (AICAR, ZTP, nicotinamide (riboside), ATP and S-AMP) we found no influence of age on the statistical relevance (p > 0.13, non-statistical significant correlation with age of patient for any of these metabolites) of using these metabolites as biomarkers for Lesch-Nyhan diagnosis. By contrast, for nicotinic acid, we found that strength of the biomarker significantly (p = 0.005, statistical significance **) decreases with age of the patient and is even not statistically significant for patients over 50 years old. Nevertheless, for these older patients the five other biomarkers are still fully statistically relevant for diagnosis of Lesch-Nyhan disease.Figure 3 Separation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions.Figure 4 Identification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks. Separation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Identification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks. Among the six the metabolites, AICAR and ZTP, have very high AUC (0.99 and 0.92 respectively, Figure 4A and C and Additional file 1: Figure S1) and are therefore highly predictive biochemical markers. Accumulation of ZTP in LN patients has been reported previously on a small number of patients (5 LND + 1 LN variant) [21]. Our statistical analysis on a much larger cohort of LN patients definitely validates this biomarker. It should be stressed however that AICAR and ZTP accumulations have been reported in few patients with other purine metabolic disorders: purine nucleoside phosphorylase deficiency (Pnp; 1 patient), phosphorybosyl pyrophosphate (PRPP) synthetase over-activity (1 patient), and AICAR transformylase IMP cyclohydrolase deficiency (Atic, 1 patient) [21,22] and therefore could not be fully discriminative for diagnosis. Nonetheless, the combination of these two AICAR derivatives with the four other identified biomarkers with high AUC strongly increases the prognostic power. Importantly, our metabolic analysis was done on red blood cells which are prone to accumulate AICAR [23] and therefore amplifies this metabolic signal. Indeed, AICAR accumulation was not detected on patient fibroblasts (I.C.P. and B.P. unpublished results). It thus appears that red blood cells, which are easy to collect, are also providentially propitious to the use of these biomarkers. Of note, one could expect that alteration of HGprt activity in LN patients lead to a decrease in IMP pool, but we found no significant difference in IMP content between LN patients and healthy controls (Additional file 1: Figure S2). One possible explanation for this is that, in erythrocytes, AICAR is used as a precursor of a metabolic bypass that can replenish the IMP pool in a HGprt-deficient context (Figure 1) [24]. To address the role of HGprt in the pathogenesis of LND, several in vitro studies have been already performed comparing nucleotide metabolism in different cell types (lymphoblast and fibroblasts) from LND patients versus subjects with normal HGprt activity, or tissue/cell lines from HPRT1 gene knock-out (KO) mice. The results were rather inconsistent [25-28]. Contributing factors to explain such variations have included culture conditions, unappreciated differences in growth rates and variability in precursor concentrations (e.g. nicotinamide) in different culture conditions [26,27,29]. Here, the analysis of erythrocytes, a single cell type directly sampled from patients, allowed to bypass these problems. Some of these earlier studies documented altered pyridine and purine nucleotide metabolite content in LND erythrocytes showing elevated NAD(H), as well as low GTP and ATP concentrations [30]. In addition, studies of NAD(H) metabolism on different tissues from HGprt gene knock-out (KO) mice revealed that NAD+ concentration was significantly increased in liver but not in brain or blood of the KO mice [31]. By contrast, NAD+ was found severely decreased in fibroblast from Lesch-Nyhan patients [29]. These results and ours demonstrate that changes in NAD(H) metabolism occur in response to HGprt deficiency, depending both on species and tissue type, however the physiopathological consequences remain to be explored. Blood samples from patients and controls were used to measure intracellular metabolite content in red blood cells. Because LND affects purine metabolism, we monitored the level of purine nucleotides, nucleosides and bases. In the same separation experiment we also measured pyrimidine nucleotides, nucleosides and bases as well as NAD(H) (Nicotinamide adenine di-nucleotide) and their precursors (Figure 3A). A comparison of representative chromatograms obtained with red blood cell extracts from a control and a HRH patient is presented in Figure 3B. Of note, GMP one of the products of HGprt (Figure 1) is not detectable in any control or Lesch-Nyhan patient red blood extracts. This observation is consistent with a previous one in which the presence of only the di- and tri-phosphate forms of guanylic nucleotides were detected in patient erythrocytes [21]. For each metabolite analyzed, statistical analyses of the data were conducted by drawing ROC (Receiving Operating Characteristic) curves and deducing the cognate AUC (Area Under Curve, see Methods for details). For eight metabolites the AUC were comprised between 0.8 and 1 (Figure 4A and Additional file 1: Figure S1) indicating a fair to excellent accuracy of the test in discriminating the groups being tested. Ten other metabolites presented some apparent differences between the control and LN patients, but statistical analyses revealed that for these metabolites AUC were between 0.80 and 0.5 and therefore had low or no significance (Additional file 1: Figure S2). Among the eight metabolites, significantly discriminating Lesch-Nyhan patients versus controls, are five purine derivatives (AICAR, hypoxanthine, ZTP (triphosphate form of AICAR), ATP and S-AMP), one pyrimidine (UMP) and precursors of NAD(H) (nicotinic acid and nicotinamide and/or nicotinamide riboside, these two last metabolites cannot be discriminated under our separation conditions). Importantly, some of these markers could reflect a more general hyperuricemia problem rather than being “specific” to HGprt deficiency. We therefore performed a similar metabolic analysis from blood samples from 13 hyperuricemic patients presenting normal HGprt activity (Figure 4 and Additional file 1: Table S1). In these patients two of the eight markers, i.e. hypoxanthine and UMP, were also accumulated in red blood cells (statistical results, Figure 4B and E), thus suggesting that hypoxanthine and UMP changes are more associated to hyperuricemia than to HGprt deficiency. In addition, while five of the thirteen hyperuricemic patients were treated with xanthine oxydoreductase inhibitor Allopurinol (Additional file 1: Table S1), we did not find any statistically significant difference on metabolites between treated and non-treated patients. From these analyses, we conclude that six metabolites significantly discriminate between HGprt deficient patients and healthy controls. We also performed a non parametric correlation analysis to determine is these six metabolites associated with HGprt deficiency could serve as biomarker of Lesch-Nyhan disease at any age of patients. For five of them (AICAR, ZTP, nicotinamide (riboside), ATP and S-AMP) we found no influence of age on the statistical relevance (p > 0.13, non-statistical significant correlation with age of patient for any of these metabolites) of using these metabolites as biomarkers for Lesch-Nyhan diagnosis. By contrast, for nicotinic acid, we found that strength of the biomarker significantly (p = 0.005, statistical significance **) decreases with age of the patient and is even not statistically significant for patients over 50 years old. Nevertheless, for these older patients the five other biomarkers are still fully statistically relevant for diagnosis of Lesch-Nyhan disease.Figure 3 Separation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions.Figure 4 Identification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks. Separation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Identification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks. Among the six the metabolites, AICAR and ZTP, have very high AUC (0.99 and 0.92 respectively, Figure 4A and C and Additional file 1: Figure S1) and are therefore highly predictive biochemical markers. Accumulation of ZTP in LN patients has been reported previously on a small number of patients (5 LND + 1 LN variant) [21]. Our statistical analysis on a much larger cohort of LN patients definitely validates this biomarker. It should be stressed however that AICAR and ZTP accumulations have been reported in few patients with other purine metabolic disorders: purine nucleoside phosphorylase deficiency (Pnp; 1 patient), phosphorybosyl pyrophosphate (PRPP) synthetase over-activity (1 patient), and AICAR transformylase IMP cyclohydrolase deficiency (Atic, 1 patient) [21,22] and therefore could not be fully discriminative for diagnosis. Nonetheless, the combination of these two AICAR derivatives with the four other identified biomarkers with high AUC strongly increases the prognostic power. Importantly, our metabolic analysis was done on red blood cells which are prone to accumulate AICAR [23] and therefore amplifies this metabolic signal. Indeed, AICAR accumulation was not detected on patient fibroblasts (I.C.P. and B.P. unpublished results). It thus appears that red blood cells, which are easy to collect, are also providentially propitious to the use of these biomarkers. Of note, one could expect that alteration of HGprt activity in LN patients lead to a decrease in IMP pool, but we found no significant difference in IMP content between LN patients and healthy controls (Additional file 1: Figure S2). One possible explanation for this is that, in erythrocytes, AICAR is used as a precursor of a metabolic bypass that can replenish the IMP pool in a HGprt-deficient context (Figure 1) [24]. To address the role of HGprt in the pathogenesis of LND, several in vitro studies have been already performed comparing nucleotide metabolism in different cell types (lymphoblast and fibroblasts) from LND patients versus subjects with normal HGprt activity, or tissue/cell lines from HPRT1 gene knock-out (KO) mice. The results were rather inconsistent [25-28]. Contributing factors to explain such variations have included culture conditions, unappreciated differences in growth rates and variability in precursor concentrations (e.g. nicotinamide) in different culture conditions [26,27,29]. Here, the analysis of erythrocytes, a single cell type directly sampled from patients, allowed to bypass these problems. Some of these earlier studies documented altered pyridine and purine nucleotide metabolite content in LND erythrocytes showing elevated NAD(H), as well as low GTP and ATP concentrations [30]. In addition, studies of NAD(H) metabolism on different tissues from HGprt gene knock-out (KO) mice revealed that NAD+ concentration was significantly increased in liver but not in brain or blood of the KO mice [31]. By contrast, NAD+ was found severely decreased in fibroblast from Lesch-Nyhan patients [29]. These results and ours demonstrate that changes in NAD(H) metabolism occur in response to HGprt deficiency, depending both on species and tissue type, however the physiopathological consequences remain to be explored. Correlation of metabolic profiles with clinical severity Our results presented in the previous section established that the metabolic profile of patients significantly differed from that of controls and from that of non-LND gouty patients indicating that beyond the HGprt deficiency resides a more complex metabolic disease. We then investigated whether the six biochemical markers identified in this study could be used to assess the severity of the disease. We found that this was clearly not the case since statistical analyses showed no significant differences for the six biomarkers between the different classes of patients (Figure 5 A to F). However, it should be emphasized that for the two most severe forms of the disease (LND and HND) self-injurious behaviors and/or neuromuscular symptoms are easily diagnosed and the biomarkers in these cases could mostly be used for confirmation together with HGprt activity measurement. For the last group of patients suffering from hyperuricemia but presenting no neurobehavioral disturbances, HRH group, diagnosis often happens much later during life, frequently in adulthood (see Figure 2A). For these cases, the biochemical markers described here will be very useful to facilitate diagnosis at an early stage of the disease. The usefulness of these biomarkers would be further amplified if systematic search for hyperuricemia at birth was envisioned.Figure 5 Changes in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares). Changes in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares). Why is there no clear correlation between the purine and pyrimidine metabolic profiles and the severity of the disease? A likely possibility is that the metabolic profiles, being derived from red blood cells of children or adults, does not fully reflect what happens in other cell types (especially neural tissues) and/or during embryonic development. A general question about the biomarkers identified in this study is whether they could be causative of some aspects of the pathology, as it was previously hypothesized concerning AICAR accumulation and the potential toxicity of this metabolite [32]. Massive accumulation of AICAR and its derivatives in Atic deficiency is associated with a devastating neurological disease involving profound mental retardation, epilepsy, dysmorphic features and congenital blindness [22]. In addition, AICAR is an inhibitor of the bi-functional enzyme Adenylosuccinate lyase (Adsl; Figure 1) and a deficiency of this enzyme also causes psychomotor retardation and autism in humans [33]. Indeed, the significant increase of succinyl-AMP (Figure 4H) in red blood cells of LN patients is in favor of a possible inhibition by AICAR of Adsl. AICAR, because of its structural similarity with AMP [34], is also a known activator of the AMP-activated protein kinase (AMPK), a homeostatic regulator of energy levels in the cell and influences the activity of a number of AMP-sensitive enzymes [35]. Accumulation of AICAR could have pleiotropic effects in the brain that could explain some of the neurological symptoms of Lesch-Nyhan patients. To establish a possible correlative link between AICAR accumulation and the severity of neurological symptoms in Lesch-Nyhan patients, metabolic analyses on cerebrospinal fluid would be more conclusive; however this biological material is not generally available. Of note, despite these difficulties, we could measure metabolic content in cerebrospinal fluid of few LND patients (8 patients) and healthy controls (6 patients). Even though purine derivatives were at very low concentration in these samples, we found some AICAR in its riboside form (AICAr) in Lesch-Nyhan patient cerebrospinal fluid but not in the controls (I.C-P. and B.P. unpublished results). Our analysis on the LND patient erythrocytes also showed that the ATP concentration was significantly lower when compared to healthy control and/or gouty patients, as already observed by others [36]. A significant decrease in GTP concentration was also found (AUC 0.74, Additional file 1: Figure S2), thus confirming previous in vitro results obtained on human neuronal tissue culture [37]. The combined ATP and GTP depletion in erythrocytes could reflect the situation in the brain, which, like the erythrocyte, is largely dependent on salvage pathways to sustain its ATP and GTP levels. Because ATP is a downstream product of purine metabolism, HGprt deficiency results in energy limitation. Present knowledge assumes that defective dopaminergic transmission is an important cause for neurological deficit in LND [12], however the mechanisms responsible for dopamine loss in HGprt deficiency is still an enigma. Shortage of specific nucleotides may cause this abnormality through the inhibition of nigrostriatal axonal arborization at a developmental stage sensitive to nucleotide availability [13,14]. Our results presented in the previous section established that the metabolic profile of patients significantly differed from that of controls and from that of non-LND gouty patients indicating that beyond the HGprt deficiency resides a more complex metabolic disease. We then investigated whether the six biochemical markers identified in this study could be used to assess the severity of the disease. We found that this was clearly not the case since statistical analyses showed no significant differences for the six biomarkers between the different classes of patients (Figure 5 A to F). However, it should be emphasized that for the two most severe forms of the disease (LND and HND) self-injurious behaviors and/or neuromuscular symptoms are easily diagnosed and the biomarkers in these cases could mostly be used for confirmation together with HGprt activity measurement. For the last group of patients suffering from hyperuricemia but presenting no neurobehavioral disturbances, HRH group, diagnosis often happens much later during life, frequently in adulthood (see Figure 2A). For these cases, the biochemical markers described here will be very useful to facilitate diagnosis at an early stage of the disease. The usefulness of these biomarkers would be further amplified if systematic search for hyperuricemia at birth was envisioned.Figure 5 Changes in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares). Changes in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares). Why is there no clear correlation between the purine and pyrimidine metabolic profiles and the severity of the disease? A likely possibility is that the metabolic profiles, being derived from red blood cells of children or adults, does not fully reflect what happens in other cell types (especially neural tissues) and/or during embryonic development. A general question about the biomarkers identified in this study is whether they could be causative of some aspects of the pathology, as it was previously hypothesized concerning AICAR accumulation and the potential toxicity of this metabolite [32]. Massive accumulation of AICAR and its derivatives in Atic deficiency is associated with a devastating neurological disease involving profound mental retardation, epilepsy, dysmorphic features and congenital blindness [22]. In addition, AICAR is an inhibitor of the bi-functional enzyme Adenylosuccinate lyase (Adsl; Figure 1) and a deficiency of this enzyme also causes psychomotor retardation and autism in humans [33]. Indeed, the significant increase of succinyl-AMP (Figure 4H) in red blood cells of LN patients is in favor of a possible inhibition by AICAR of Adsl. AICAR, because of its structural similarity with AMP [34], is also a known activator of the AMP-activated protein kinase (AMPK), a homeostatic regulator of energy levels in the cell and influences the activity of a number of AMP-sensitive enzymes [35]. Accumulation of AICAR could have pleiotropic effects in the brain that could explain some of the neurological symptoms of Lesch-Nyhan patients. To establish a possible correlative link between AICAR accumulation and the severity of neurological symptoms in Lesch-Nyhan patients, metabolic analyses on cerebrospinal fluid would be more conclusive; however this biological material is not generally available. Of note, despite these difficulties, we could measure metabolic content in cerebrospinal fluid of few LND patients (8 patients) and healthy controls (6 patients). Even though purine derivatives were at very low concentration in these samples, we found some AICAR in its riboside form (AICAr) in Lesch-Nyhan patient cerebrospinal fluid but not in the controls (I.C-P. and B.P. unpublished results). Our analysis on the LND patient erythrocytes also showed that the ATP concentration was significantly lower when compared to healthy control and/or gouty patients, as already observed by others [36]. A significant decrease in GTP concentration was also found (AUC 0.74, Additional file 1: Figure S2), thus confirming previous in vitro results obtained on human neuronal tissue culture [37]. The combined ATP and GTP depletion in erythrocytes could reflect the situation in the brain, which, like the erythrocyte, is largely dependent on salvage pathways to sustain its ATP and GTP levels. Because ATP is a downstream product of purine metabolism, HGprt deficiency results in energy limitation. Present knowledge assumes that defective dopaminergic transmission is an important cause for neurological deficit in LND [12], however the mechanisms responsible for dopamine loss in HGprt deficiency is still an enigma. Shortage of specific nucleotides may cause this abnormality through the inhibition of nigrostriatal axonal arborization at a developmental stage sensitive to nucleotide availability [13,14]. Genotype/Phenotype classification of full LND and LN Variants: The French cohort of Lesch-Nyhan patients was split into the three approved sub-groups [3] depending on the degree of neurological disturbances, from none to severe: HRH, HND, LND. It should be stressed that the average diagnosis age of the patient of the 3 groups varies significantly due to the obviousness of the most severe symptoms (Figure 2A). Sequencing analysis of the HPRT1 gene revealed 61 different mutations among these 85 patients, spanning 65 families, 27 of which were novel. Of note, all these mutations including the 27 newly identified are listed in http://www.lesch-nyhan.org/en/research/mutations-database/. While the nature of the mutations was clearly not evenly distributed in the three groups (Figure 2B), we found that the location of the mutation was not a good prognostic marker of the severity of the disease (Figure 2C). The mutations were indeed scattered along the gene and no hot clusters were identified. This shows that multiple mutations of HPRT1 can cause the unique Lesch-Nyhan disease. Within the LND group, 54 Lesch-Nyhan patients, spanning 47 families were analyzed. We found 45 different mutations distributed throughout the gene. For the Variants a total of 16 mutations were found in 19 HND patients (12 families) and in 12 HRH patients (6 families). Importantly, in LND, only 32% of mutations are missense, while 68% of the mutations were deletion, insertion, nonsense and splicing mutations (Figure 2B). Approximately half of the deletions were large intragenic deletions with loss of one or more exons. All mutations in introns gave rise to splicing error mutations and to LND. For the Variant forms HND and HRH, this tendency is completely reversed with a majority of missense mutations (88%) and the quasi-absence of deletion, nonsense and splicing mutations (Figure 2B). The difference in the type of mutations between LND and Variants suggests that mutations more susceptible to result in null enzymatic function or in abnormal protein conformation are more likely to cause the severe phenotype LND. By contrast, in the Variant forms, the missense mutations may allow some residual activity of the protein leading to a less severe phenotype.Figure 2 Genotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family. Genotypic characterization of the French cohort of Lesch-Nyhan patients. A) Average diagnosis age of the patient as function of symptoms severity. The median age is represented by the thick black line: HRH: HGprt-related Hyperuricemia (Median age 25 years old). HND: HGprt-related hyperuricemia with neuro-muscular dysfunction (Median age 18 years old). LND: full Lesch-Nyhan disease (Median age 3 years old). B) Distribution of mutation types throughout the HPRT1 gene among the three groups of HGprt deficient patients. Black, blue and orange boxes represent mutations in LND, HND and HRH patients, respectively. C) Localization of the mutations on the HPRT1 gene in the French cohort of LN patients. Briefly, mutations were identified by DNA exon and exon-intron junctions sequencing. In yellow boxes are the mutations found in more than one family. Identification of new biochemical markers for diagnosis of HGprt deficiency: Blood samples from patients and controls were used to measure intracellular metabolite content in red blood cells. Because LND affects purine metabolism, we monitored the level of purine nucleotides, nucleosides and bases. In the same separation experiment we also measured pyrimidine nucleotides, nucleosides and bases as well as NAD(H) (Nicotinamide adenine di-nucleotide) and their precursors (Figure 3A). A comparison of representative chromatograms obtained with red blood cell extracts from a control and a HRH patient is presented in Figure 3B. Of note, GMP one of the products of HGprt (Figure 1) is not detectable in any control or Lesch-Nyhan patient red blood extracts. This observation is consistent with a previous one in which the presence of only the di- and tri-phosphate forms of guanylic nucleotides were detected in patient erythrocytes [21]. For each metabolite analyzed, statistical analyses of the data were conducted by drawing ROC (Receiving Operating Characteristic) curves and deducing the cognate AUC (Area Under Curve, see Methods for details). For eight metabolites the AUC were comprised between 0.8 and 1 (Figure 4A and Additional file 1: Figure S1) indicating a fair to excellent accuracy of the test in discriminating the groups being tested. Ten other metabolites presented some apparent differences between the control and LN patients, but statistical analyses revealed that for these metabolites AUC were between 0.80 and 0.5 and therefore had low or no significance (Additional file 1: Figure S2). Among the eight metabolites, significantly discriminating Lesch-Nyhan patients versus controls, are five purine derivatives (AICAR, hypoxanthine, ZTP (triphosphate form of AICAR), ATP and S-AMP), one pyrimidine (UMP) and precursors of NAD(H) (nicotinic acid and nicotinamide and/or nicotinamide riboside, these two last metabolites cannot be discriminated under our separation conditions). Importantly, some of these markers could reflect a more general hyperuricemia problem rather than being “specific” to HGprt deficiency. We therefore performed a similar metabolic analysis from blood samples from 13 hyperuricemic patients presenting normal HGprt activity (Figure 4 and Additional file 1: Table S1). In these patients two of the eight markers, i.e. hypoxanthine and UMP, were also accumulated in red blood cells (statistical results, Figure 4B and E), thus suggesting that hypoxanthine and UMP changes are more associated to hyperuricemia than to HGprt deficiency. In addition, while five of the thirteen hyperuricemic patients were treated with xanthine oxydoreductase inhibitor Allopurinol (Additional file 1: Table S1), we did not find any statistically significant difference on metabolites between treated and non-treated patients. From these analyses, we conclude that six metabolites significantly discriminate between HGprt deficient patients and healthy controls. We also performed a non parametric correlation analysis to determine is these six metabolites associated with HGprt deficiency could serve as biomarker of Lesch-Nyhan disease at any age of patients. For five of them (AICAR, ZTP, nicotinamide (riboside), ATP and S-AMP) we found no influence of age on the statistical relevance (p > 0.13, non-statistical significant correlation with age of patient for any of these metabolites) of using these metabolites as biomarkers for Lesch-Nyhan diagnosis. By contrast, for nicotinic acid, we found that strength of the biomarker significantly (p = 0.005, statistical significance **) decreases with age of the patient and is even not statistically significant for patients over 50 years old. Nevertheless, for these older patients the five other biomarkers are still fully statistically relevant for diagnosis of Lesch-Nyhan disease.Figure 3 Separation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions.Figure 4 Identification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks. Separation of standards (A) and red blood cell metabolic extracts (B) by ionic chromatography. A) Standard metabolites profile was obtained by high performance ionic chromatography as described in Methods. Different colors refer to the different families of metabolites: blue: NAD(H) precursors; dark green: uridine derivatives; light green: cytidine derivatives; pink: inosine derivatives; purple: guanylic derivatives; red: adenylic derivatives; orange: AICAr derivatives and black: other detected metabolites. B) Representative chromatograms of red blood cells metabolic extracts from a control (black line) and a HRH patient (orange line). Insets represents zoom of the indicated regions. The Asterisk (ZTP inset) indicates an unidentified peak found in the control and that does not correspond to ZTP. The control and HRH extracts correspond to Control10 and HRH8 extracts (see Additional file 1: Table S1), respectively. A B, The red dashed line indicates the sodium acetate elution gradient. Nicotinamide (riboside) stands for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Identification of the metabolites significantly changed in red cells of HGprt deficient patients. (A-H) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cell extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC (Receiver Operating Curves) analyses (Additional file 1: Figure S1) performed as described in Methods. p-values were obtained from a Mann–Whitney–Wilcoxon test. NS: non-statistically different = p-value > 10−1; *: p-value < 10−2; **: p-value < 10−3 and ***: p-value < 10−4. Control: healthy patients (black circles); LN: Lesch-Nyhan patients (HRH + HND + LND; Red squares); Non-HGprt: non HGprt-deficient patients with hyperuricemia (blue diamonds). Nicotinamide (riboside) stand for the mix of nicotinamide and nicotinamide riboside, these two metabolites being not separated under our chromatographic conditions. Raw data are presented in Additional file 1: Table S1. Dashed blue lines indicate scale breaks. Among the six the metabolites, AICAR and ZTP, have very high AUC (0.99 and 0.92 respectively, Figure 4A and C and Additional file 1: Figure S1) and are therefore highly predictive biochemical markers. Accumulation of ZTP in LN patients has been reported previously on a small number of patients (5 LND + 1 LN variant) [21]. Our statistical analysis on a much larger cohort of LN patients definitely validates this biomarker. It should be stressed however that AICAR and ZTP accumulations have been reported in few patients with other purine metabolic disorders: purine nucleoside phosphorylase deficiency (Pnp; 1 patient), phosphorybosyl pyrophosphate (PRPP) synthetase over-activity (1 patient), and AICAR transformylase IMP cyclohydrolase deficiency (Atic, 1 patient) [21,22] and therefore could not be fully discriminative for diagnosis. Nonetheless, the combination of these two AICAR derivatives with the four other identified biomarkers with high AUC strongly increases the prognostic power. Importantly, our metabolic analysis was done on red blood cells which are prone to accumulate AICAR [23] and therefore amplifies this metabolic signal. Indeed, AICAR accumulation was not detected on patient fibroblasts (I.C.P. and B.P. unpublished results). It thus appears that red blood cells, which are easy to collect, are also providentially propitious to the use of these biomarkers. Of note, one could expect that alteration of HGprt activity in LN patients lead to a decrease in IMP pool, but we found no significant difference in IMP content between LN patients and healthy controls (Additional file 1: Figure S2). One possible explanation for this is that, in erythrocytes, AICAR is used as a precursor of a metabolic bypass that can replenish the IMP pool in a HGprt-deficient context (Figure 1) [24]. To address the role of HGprt in the pathogenesis of LND, several in vitro studies have been already performed comparing nucleotide metabolism in different cell types (lymphoblast and fibroblasts) from LND patients versus subjects with normal HGprt activity, or tissue/cell lines from HPRT1 gene knock-out (KO) mice. The results were rather inconsistent [25-28]. Contributing factors to explain such variations have included culture conditions, unappreciated differences in growth rates and variability in precursor concentrations (e.g. nicotinamide) in different culture conditions [26,27,29]. Here, the analysis of erythrocytes, a single cell type directly sampled from patients, allowed to bypass these problems. Some of these earlier studies documented altered pyridine and purine nucleotide metabolite content in LND erythrocytes showing elevated NAD(H), as well as low GTP and ATP concentrations [30]. In addition, studies of NAD(H) metabolism on different tissues from HGprt gene knock-out (KO) mice revealed that NAD+ concentration was significantly increased in liver but not in brain or blood of the KO mice [31]. By contrast, NAD+ was found severely decreased in fibroblast from Lesch-Nyhan patients [29]. These results and ours demonstrate that changes in NAD(H) metabolism occur in response to HGprt deficiency, depending both on species and tissue type, however the physiopathological consequences remain to be explored. Correlation of metabolic profiles with clinical severity: Our results presented in the previous section established that the metabolic profile of patients significantly differed from that of controls and from that of non-LND gouty patients indicating that beyond the HGprt deficiency resides a more complex metabolic disease. We then investigated whether the six biochemical markers identified in this study could be used to assess the severity of the disease. We found that this was clearly not the case since statistical analyses showed no significant differences for the six biomarkers between the different classes of patients (Figure 5 A to F). However, it should be emphasized that for the two most severe forms of the disease (LND and HND) self-injurious behaviors and/or neuromuscular symptoms are easily diagnosed and the biomarkers in these cases could mostly be used for confirmation together with HGprt activity measurement. For the last group of patients suffering from hyperuricemia but presenting no neurobehavioral disturbances, HRH group, diagnosis often happens much later during life, frequently in adulthood (see Figure 2A). For these cases, the biochemical markers described here will be very useful to facilitate diagnosis at an early stage of the disease. The usefulness of these biomarkers would be further amplified if systematic search for hyperuricemia at birth was envisioned.Figure 5 Changes in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares). Changes in identified biomarkers are not correlated with severity of the disease. (A-F) For all categories, each dot corresponds to the mean of metabolite content measured in independent red blood cells extracts. AUC values (green numbers) correspond to Area Under Curves values deduced from ROC analyses performed as described in methods. p-values were obtained from a Mann–Whitney–Wilcoxon test: NS: non-statistically different = p-value > 10−1. Control: healthy patients (black circles); HRH: HGprt-related hyperuricemia (orange squares); HND: HGprt-related hyperuricemia with neuromuscular dysfunction (blue squares); LND: full Lesch-Nyhan disease (green squares). Why is there no clear correlation between the purine and pyrimidine metabolic profiles and the severity of the disease? A likely possibility is that the metabolic profiles, being derived from red blood cells of children or adults, does not fully reflect what happens in other cell types (especially neural tissues) and/or during embryonic development. A general question about the biomarkers identified in this study is whether they could be causative of some aspects of the pathology, as it was previously hypothesized concerning AICAR accumulation and the potential toxicity of this metabolite [32]. Massive accumulation of AICAR and its derivatives in Atic deficiency is associated with a devastating neurological disease involving profound mental retardation, epilepsy, dysmorphic features and congenital blindness [22]. In addition, AICAR is an inhibitor of the bi-functional enzyme Adenylosuccinate lyase (Adsl; Figure 1) and a deficiency of this enzyme also causes psychomotor retardation and autism in humans [33]. Indeed, the significant increase of succinyl-AMP (Figure 4H) in red blood cells of LN patients is in favor of a possible inhibition by AICAR of Adsl. AICAR, because of its structural similarity with AMP [34], is also a known activator of the AMP-activated protein kinase (AMPK), a homeostatic regulator of energy levels in the cell and influences the activity of a number of AMP-sensitive enzymes [35]. Accumulation of AICAR could have pleiotropic effects in the brain that could explain some of the neurological symptoms of Lesch-Nyhan patients. To establish a possible correlative link between AICAR accumulation and the severity of neurological symptoms in Lesch-Nyhan patients, metabolic analyses on cerebrospinal fluid would be more conclusive; however this biological material is not generally available. Of note, despite these difficulties, we could measure metabolic content in cerebrospinal fluid of few LND patients (8 patients) and healthy controls (6 patients). Even though purine derivatives were at very low concentration in these samples, we found some AICAR in its riboside form (AICAr) in Lesch-Nyhan patient cerebrospinal fluid but not in the controls (I.C-P. and B.P. unpublished results). Our analysis on the LND patient erythrocytes also showed that the ATP concentration was significantly lower when compared to healthy control and/or gouty patients, as already observed by others [36]. A significant decrease in GTP concentration was also found (AUC 0.74, Additional file 1: Figure S2), thus confirming previous in vitro results obtained on human neuronal tissue culture [37]. The combined ATP and GTP depletion in erythrocytes could reflect the situation in the brain, which, like the erythrocyte, is largely dependent on salvage pathways to sustain its ATP and GTP levels. Because ATP is a downstream product of purine metabolism, HGprt deficiency results in energy limitation. Present knowledge assumes that defective dopaminergic transmission is an important cause for neurological deficit in LND [12], however the mechanisms responsible for dopamine loss in HGprt deficiency is still an enigma. Shortage of specific nucleotides may cause this abnormality through the inhibition of nigrostriatal axonal arborization at a developmental stage sensitive to nucleotide availability [13,14]. Conclusion: We documented the molecular and biochemical analysis of Lesch-Nyhan disease in a large cohort of 139 patients from France belonging to 112 unrelated families. Sequence analysis of the HPRT1 gene revealed that mutations were scattered along the gene and no hot clusters were identified. Importantly, within the most severe phenotypic group (LND) 68% of the mutations were deletion, insertion, nonsense and splicing mutations, mostly resulting in undetectable enzyme function. In Variant forms, HND and HRH, this tendency is completely reversed with a majority of missense mutations (88%), thus leading to residual HGprt activity. The effect of the HPRT1 mutations on residual HGprt enzyme activity is a relevant factor contributing to disease phenotype. Diversity of inborn errors in nucleotide metabolism leading to a large spectrum of common neurodevelopemental symptoms makes the diagnosis difficult, especially for patients with the less severe forms of these various diseases. Our chromatographic method allowed us to identify six metabolites (dramatic increase for AICAR, ZTP, nicotinic acid, nicotinamide (riboside), S-AMP and severe ATP depletion) statistically fully associated to HGprt deficiency. These six metabolites define new specific biomarkers since they are not significantly modified in hyperuricemic patients without HGprt-deficiency. These new biochemical markers are easy to measure on red blood cell extracts and their combination increases the probability of an early and reliable diagnose of less severe forms of HGprt deficiency.
Background: Lesch-Nyhan disease is a rare X-linked neurodevelopemental metabolic disorder caused by a wide variety of mutations in the HPRT1 gene leading to a deficiency of the purine recycling enzyme hypoxanthine-guanine phosphoribosyltransferase (HGprt). The residual HGprt activity correlates with the various phenotypes of Lesch-Nyhan (LN) patients and in particular with the different degree of neurobehavioral disturbances. The prevalence of this disease is considered to be underestimated due to large heterogeneity of its clinical symptoms and the difficulty of diagnosing of the less severe forms of the disease. We therefore searched for metabolic changes that would facilitate an early diagnosis and give potential clues on the disease pathogenesis and potential therapeutic approaches. Methods: Lesch-Nyhan patients were diagnosed using HGprt enzymatic assay in red blood cells and identification of the causal HPRT1 gene mutations. These patients were subsequently classified into the three main phenotypic subgroups ranging from patients with only hyperuricemia to individuals presenting motor dysfunction, cognitive disability and self-injurious behavior. Metabolites from the three classes of patients were analyzed and quantified by High Performance Ionic Chromatography and biomarkers of HGprt deficiency were then validated by statistical analyses. Results: A cohort of 139 patients, from 112 families, diagnosed using HGprt enzymatic assay in red blood cells, was studied. 98 displayed LN full phenotype (86 families) and 41 (26 families) had attenuated clinical phenotypes. Genotype/phenotype correlations show that LN full phenotype was correlated to genetic alterations resulting in null enzyme function, while variant phenotypes are often associated with missense mutations allowing some residual HGprt activity. Analysis of metabolites extracted from red blood cells from 56 LN patients revealed strong variations specific to HGprt deficiency for six metabolites (AICAR mono- and tri-phosphate, nicotinamide, nicotinic acid, ATP and Succinyl-AMP) as compared to controls including hyperuricemic patients without HGprt deficiency. Conclusions: A highly significant correlation between six metabolites and the HGprt deficiency was established, each of them providing an easily measurable marker of the disease. Their combination strongly increases the probability of an early and reliable diagnosis for HGprt deficiency.
Background: The ubiquitous distribution of purine derivatives in human tissues and the high number of cellular functions in which these metabolites are involved explain why purine metabolism impairments lead to so many various diseases, i.e. >35 genetic pathologies are associated to purine metabolism genes (see [1] for review). The early recognition of these patients is required because of the progressive, irreversible and devastating consequences of these deficiencies [2]. A lot of these purine-associated pathologies share neurological, muscular, hematological and immunological symptoms. These common symptoms are most likely the consequence of nucleotide depletion and/or accumulation of toxic intermediates altering various biological functions, many of these deleterious effects taking place during embryonic development. Yet, the molecular mechanisms leading to these alterations are largely unknown and remain to be identified. Among purine-metabolism pathologies, the Lesch-Nyhan (LN) disease is a rare X-linked genetic disease, characterized in the most severe form by overproduction of uric acid, gout, severe motor disability, neurological deficiency and self-injurious behavior [3-5]. Milder forms of the disease, named Lesch-Nyhan Variants (LNV), exhibit less pronounced neurological and/or motor impairments and no self-injurious behavior [6-10]. A single mutated gene, HPRT1, is responsible for the LN pathology. HPRT1 encodes the Hypoxanthine/Guanine phosphorybosyl transferase enzyme HGprt involved in two steps of the purine salvage pathway, i.e. conversion of hypoxanthine and guanine to inosine monophosphate (IMP) and guanosine monophosphate (GMP), respectively (Figure 1). The mutations are highly heterogeneous, with more than 400 different mutations already documented (http://www.lesch-nyhan.org/en/research/mutations-database/). Depending on the mutation, the enzyme exhibits none or residual enzymatic activity. Residual activity correlates with the severity of symptoms and in particular with the degree of neurological disturbances [3,11]. Hence, a phenotypic classification in three groups has now been accepted [3,4,9]. Lesch-Nyhan Disease (LND) patients display neurological deficiencies and self-injurious behaviors; they usually have undetectable HGprt activity. A second set of patients with various degrees of neuromuscular symptoms but no self-injurious behavior were grouped in HND (HGprt-related Neurological Dysfunction), they typically have a residual HGprt activity in live fibroblast assay. Finally, a third group of patients presenting no neurobehavioral disturbances and symptoms secondary to hyperuricemia only were classified as HRH (HGprt-Related Hyperuricemia) and generally have an enzymatic activity above 10%. Despite this correlation between enzymatic activity in live fibroblast and neurological disturbances, the underlying molecular mechanisms responsible for neurobehavioral troubles remain unknown. HGprt deficiency might affect homeostasis of purine metabolites, some of which play critical roles in neuronal differentiation and function and are toxic for the brain. Studies have shown that neurobehavioral syndrome is linked to reduction of dopamine in the basal ganglia [12] and demonstrated that HGprt deficiency is accompanied by deregulation of important pathways involved in the development of dopaminergic neurons [13-15]. The lack of a functional purine salvage pathway causes purine limitation in both undifferentiated and differentiated cells, as well as profound loss of dopamine content [16]. These results imply an unknown mechanism by which intracellular purine level modulates dopamine level.Figure 1 Schematic representation of the human de novo , downstream and salvage purine pathways. AICAr : 5-Amino-imidazole-4-carboxamide-1-β-D-ribofuranoside ; AICAR: AICAr 5’-monophosphate. AMP: Adenosine 5’-monophosphate; GMP: Guanosine 5’-monophosphate; IMP: Inosine 5’-monophosphate. PRPP: 5-phosphoribosyl-1-pyrophosphate. S-AMP: Succinyl-AMP. ZTP: AICAr 5’-triphosphate. Enzymes (in red): Adk: adenosine kinase; Adsl: Adenylosuccinate lyase; Atic: AICAR transformylase IMP cyclohydrolase; Aprt: Adenine phosphoribosyl Transferase; HGprt: Hypoxanthine Guanine phosphoribosyl Transferase; Pnp: Purine nucleoside phosphorylase Xo: Xanthine oxydoreductase. Schematic representation of the human de novo , downstream and salvage purine pathways. AICAr : 5-Amino-imidazole-4-carboxamide-1-β-D-ribofuranoside ; AICAR: AICAr 5’-monophosphate. AMP: Adenosine 5’-monophosphate; GMP: Guanosine 5’-monophosphate; IMP: Inosine 5’-monophosphate. PRPP: 5-phosphoribosyl-1-pyrophosphate. S-AMP: Succinyl-AMP. ZTP: AICAr 5’-triphosphate. Enzymes (in red): Adk: adenosine kinase; Adsl: Adenylosuccinate lyase; Atic: AICAR transformylase IMP cyclohydrolase; Aprt: Adenine phosphoribosyl Transferase; HGprt: Hypoxanthine Guanine phosphoribosyl Transferase; Pnp: Purine nucleoside phosphorylase Xo: Xanthine oxydoreductase. In this study, we took advantage of a large cohort of 139 French patients to statistically evaluate the relationship between phenotype/genotype and purine, pyrimidine and pyridine content of red blood cells. Our aim was first to identify new biological markers to facilitate diagnosis of Lesch-Nyhan patients and second to provide clues on future therapy quests. Conclusion: We documented the molecular and biochemical analysis of Lesch-Nyhan disease in a large cohort of 139 patients from France belonging to 112 unrelated families. Sequence analysis of the HPRT1 gene revealed that mutations were scattered along the gene and no hot clusters were identified. Importantly, within the most severe phenotypic group (LND) 68% of the mutations were deletion, insertion, nonsense and splicing mutations, mostly resulting in undetectable enzyme function. In Variant forms, HND and HRH, this tendency is completely reversed with a majority of missense mutations (88%), thus leading to residual HGprt activity. The effect of the HPRT1 mutations on residual HGprt enzyme activity is a relevant factor contributing to disease phenotype. Diversity of inborn errors in nucleotide metabolism leading to a large spectrum of common neurodevelopemental symptoms makes the diagnosis difficult, especially for patients with the less severe forms of these various diseases. Our chromatographic method allowed us to identify six metabolites (dramatic increase for AICAR, ZTP, nicotinic acid, nicotinamide (riboside), S-AMP and severe ATP depletion) statistically fully associated to HGprt deficiency. These six metabolites define new specific biomarkers since they are not significantly modified in hyperuricemic patients without HGprt-deficiency. These new biochemical markers are easy to measure on red blood cell extracts and their combination increases the probability of an early and reliable diagnose of less severe forms of HGprt deficiency.
Background: Lesch-Nyhan disease is a rare X-linked neurodevelopemental metabolic disorder caused by a wide variety of mutations in the HPRT1 gene leading to a deficiency of the purine recycling enzyme hypoxanthine-guanine phosphoribosyltransferase (HGprt). The residual HGprt activity correlates with the various phenotypes of Lesch-Nyhan (LN) patients and in particular with the different degree of neurobehavioral disturbances. The prevalence of this disease is considered to be underestimated due to large heterogeneity of its clinical symptoms and the difficulty of diagnosing of the less severe forms of the disease. We therefore searched for metabolic changes that would facilitate an early diagnosis and give potential clues on the disease pathogenesis and potential therapeutic approaches. Methods: Lesch-Nyhan patients were diagnosed using HGprt enzymatic assay in red blood cells and identification of the causal HPRT1 gene mutations. These patients were subsequently classified into the three main phenotypic subgroups ranging from patients with only hyperuricemia to individuals presenting motor dysfunction, cognitive disability and self-injurious behavior. Metabolites from the three classes of patients were analyzed and quantified by High Performance Ionic Chromatography and biomarkers of HGprt deficiency were then validated by statistical analyses. Results: A cohort of 139 patients, from 112 families, diagnosed using HGprt enzymatic assay in red blood cells, was studied. 98 displayed LN full phenotype (86 families) and 41 (26 families) had attenuated clinical phenotypes. Genotype/phenotype correlations show that LN full phenotype was correlated to genetic alterations resulting in null enzyme function, while variant phenotypes are often associated with missense mutations allowing some residual HGprt activity. Analysis of metabolites extracted from red blood cells from 56 LN patients revealed strong variations specific to HGprt deficiency for six metabolites (AICAR mono- and tri-phosphate, nicotinamide, nicotinic acid, ATP and Succinyl-AMP) as compared to controls including hyperuricemic patients without HGprt deficiency. Conclusions: A highly significant correlation between six metabolites and the HGprt deficiency was established, each of them providing an easily measurable marker of the disease. Their combination strongly increases the probability of an early and reliable diagnosis for HGprt deficiency.
16,864
395
[ 155, 59, 178, 517, 252, 760, 2162, 1099 ]
12
[ "patients", "hgprt", "red", "blood", "mutations", "lnd", "figure", "metabolites", "lesch", "lesch nyhan" ]
[ "purine metabolism impairments", "diagnosis lesch nyhan", "purine metabolism genes", "lesch nyhan diagnosis", "metabolism pathologies lesch" ]
null
[CONTENT] HGprt | Hypoxanthine-guanine phosphoribosyltransferase | Deficiency | Genotype | Metabolome | Lesch-Nyhan disease | Variants | AICAR [SUMMARY]
null
[CONTENT] HGprt | Hypoxanthine-guanine phosphoribosyltransferase | Deficiency | Genotype | Metabolome | Lesch-Nyhan disease | Variants | AICAR [SUMMARY]
[CONTENT] HGprt | Hypoxanthine-guanine phosphoribosyltransferase | Deficiency | Genotype | Metabolome | Lesch-Nyhan disease | Variants | AICAR [SUMMARY]
[CONTENT] HGprt | Hypoxanthine-guanine phosphoribosyltransferase | Deficiency | Genotype | Metabolome | Lesch-Nyhan disease | Variants | AICAR [SUMMARY]
[CONTENT] HGprt | Hypoxanthine-guanine phosphoribosyltransferase | Deficiency | Genotype | Metabolome | Lesch-Nyhan disease | Variants | AICAR [SUMMARY]
[CONTENT] Biomarkers | Cohort Studies | Family | Gene Expression Regulation, Enzymologic | Genotype | Humans | Hypoxanthine Phosphoribosyltransferase | Lesch-Nyhan Syndrome | Mutation | Pedigree [SUMMARY]
null
[CONTENT] Biomarkers | Cohort Studies | Family | Gene Expression Regulation, Enzymologic | Genotype | Humans | Hypoxanthine Phosphoribosyltransferase | Lesch-Nyhan Syndrome | Mutation | Pedigree [SUMMARY]
[CONTENT] Biomarkers | Cohort Studies | Family | Gene Expression Regulation, Enzymologic | Genotype | Humans | Hypoxanthine Phosphoribosyltransferase | Lesch-Nyhan Syndrome | Mutation | Pedigree [SUMMARY]
[CONTENT] Biomarkers | Cohort Studies | Family | Gene Expression Regulation, Enzymologic | Genotype | Humans | Hypoxanthine Phosphoribosyltransferase | Lesch-Nyhan Syndrome | Mutation | Pedigree [SUMMARY]
[CONTENT] Biomarkers | Cohort Studies | Family | Gene Expression Regulation, Enzymologic | Genotype | Humans | Hypoxanthine Phosphoribosyltransferase | Lesch-Nyhan Syndrome | Mutation | Pedigree [SUMMARY]
[CONTENT] purine metabolism impairments | diagnosis lesch nyhan | purine metabolism genes | lesch nyhan diagnosis | metabolism pathologies lesch [SUMMARY]
null
[CONTENT] purine metabolism impairments | diagnosis lesch nyhan | purine metabolism genes | lesch nyhan diagnosis | metabolism pathologies lesch [SUMMARY]
[CONTENT] purine metabolism impairments | diagnosis lesch nyhan | purine metabolism genes | lesch nyhan diagnosis | metabolism pathologies lesch [SUMMARY]
[CONTENT] purine metabolism impairments | diagnosis lesch nyhan | purine metabolism genes | lesch nyhan diagnosis | metabolism pathologies lesch [SUMMARY]
[CONTENT] purine metabolism impairments | diagnosis lesch nyhan | purine metabolism genes | lesch nyhan diagnosis | metabolism pathologies lesch [SUMMARY]
[CONTENT] patients | hgprt | red | blood | mutations | lnd | figure | metabolites | lesch | lesch nyhan [SUMMARY]
null
[CONTENT] patients | hgprt | red | blood | mutations | lnd | figure | metabolites | lesch | lesch nyhan [SUMMARY]
[CONTENT] patients | hgprt | red | blood | mutations | lnd | figure | metabolites | lesch | lesch nyhan [SUMMARY]
[CONTENT] patients | hgprt | red | blood | mutations | lnd | figure | metabolites | lesch | lesch nyhan [SUMMARY]
[CONTENT] patients | hgprt | red | blood | mutations | lnd | figure | metabolites | lesch | lesch nyhan [SUMMARY]
[CONTENT] purine | monophosphate | aicar | phosphoribosyl | transferase | hgprt | guanine | hypoxanthine guanine | adenosine | phosphoribosyl transferase [SUMMARY]
null
[CONTENT] patients | figure | hgprt | mutations | metabolites | aicar | nicotinamide | age | derivatives | red [SUMMARY]
[CONTENT] mutations | hgprt | severe | hgprt deficiency | residual hgprt | forms | deficiency | severe forms | leading | biochemical [SUMMARY]
[CONTENT] patients | hgprt | mutations | families | min | blood | red | mm | aicar | figure [SUMMARY]
[CONTENT] patients | hgprt | mutations | families | min | blood | red | mm | aicar | figure [SUMMARY]
[CONTENT] Lesch-Nyhan | HPRT1 | HGprt ||| HGprt | Lesch-Nyhan | LN ||| ||| [SUMMARY]
null
[CONTENT] 139 | 112 | HGprt ||| 98 | LN | 86 | 41 | 26 ||| Genotype | LN | HGprt ||| 56 | LN | HGprt | six | Succinyl-AMP | HGprt [SUMMARY]
[CONTENT] six | HGprt ||| HGprt [SUMMARY]
[CONTENT] Lesch-Nyhan | HPRT1 | HGprt ||| HGprt | Lesch-Nyhan | LN ||| ||| ||| Lesch-Nyhan | HGprt | HPRT1 ||| three ||| three | High Performance Ionic Chromatography | HGprt ||| 139 | 112 | HGprt ||| 98 | LN | 86 | 41 | 26 ||| Genotype | LN | HGprt ||| 56 | LN | HGprt | six | Succinyl-AMP | HGprt ||| six | HGprt ||| HGprt [SUMMARY]
[CONTENT] Lesch-Nyhan | HPRT1 | HGprt ||| HGprt | Lesch-Nyhan | LN ||| ||| ||| Lesch-Nyhan | HGprt | HPRT1 ||| three ||| three | High Performance Ionic Chromatography | HGprt ||| 139 | 112 | HGprt ||| 98 | LN | 86 | 41 | 26 ||| Genotype | LN | HGprt ||| 56 | LN | HGprt | six | Succinyl-AMP | HGprt ||| six | HGprt ||| HGprt [SUMMARY]
Cognitive impairment in two subtypes of a single subcortical infarction.
34908257
Single subcortical infarction (SSI) is caused by two main etiological subtypes, which are branch atheromatous disease (BAD) and cerebral small vessel disease (CSVD)-related SSI. We applied the Beijing version of the Montreal Cognitive Assessment (MoCA-BJ), the Shape Trail Test (STT), and the Stroop Color and Word Test (SCWT) to investigate the differences in cognitive performance between these two subtypes of SSI.
BACKGROUND
Patients with acute SSIs were prospectively enrolled. The differences of MoCA-BJ, STT, and SCWT between the BAD group and CSVD-related SSI group were analyzed. A generalized linear model was used to analyze the associations between SSI patients with different etiological mechanisms and cognitive function. We investigated the correlations between MoCA-BJ, STT, and SCWT using Spearman's correlation analysis and established cut-off scores for Shape Trail Test A (STT-A) and STT-B to identify cognitive impairment in patients with SSI.
METHODS
This study enrolled a total of 106 patients, including 49 and 57 patients with BAD and CSVD-related SSI, respectively. The BAD group performances were worse than those of the CSVD-related SSI group for STT-A (83 [60.5-120.0] vs. 68 [49.0-86.5], P = 0.01), STT-B (204 [151.5-294.5] vs. 153 [126.5-212.5], P = 0.015), and the number of correct answers on Stroop-C (46 [41-49] vs. 49 [45-50], P = 0.035). After adjusting for age, years of education, National Institutes of Health Stroke Scale and lesion location, the performance of SSI patients with different etiological mechanisms still differed significantly for STT-A and STT-B.
RESULTS
BAD patients were more likely to perform worse than CSVD-related SSI patients in the domains of language, attention, executive function, and memory. The mechanism of cognitive impairment after BAD remains unclear.
CONCLUSIONS
[ "Cerebral Infarction", "Cerebral Small Vessel Diseases", "Cognitive Dysfunction", "Executive Function", "Humans", "Mental Status and Dementia Tests" ]
8710315
Introduction
Cognitive impairment is common after acute stroke.[1] While conceptually this is more likely to occur after large or strategically located areas of cerebral infarction, studies suggest that half of the survivors of first-ever lacunar infarction have cognitive deficits that are severe enough to impair daily activities.[2,3] Underlying cerebral small vessel disease (CSVD) is another pathophysiological explanation, in which domains of executive function, attention, memory, processing speed, and verbal fluency are prominent,[4] yet memory loss is the most commonly impaired cognitive domain after lacunar infarction.[5] While processing speed is one of the earliest and most prominent progressive cognitive impairments associated with CSVD, lesions of the frontal interhemispheric and thalamic projection fiber tracts that involve the frontal-subcortical neuronal circuits are also predictors of processing speed performance in age-related CSVD.[6] Thus, CSVD-related cognitive impairment is likely to depend on lesion location, particularly in the internal capsule, thalamus, caudate nuclei, anterior thalamic radiation, and forceps minor.[7] Through in vivo visualization of proximal culprit plaques in the penetrating arteries of the middle cerebral artery, we propose that branch atheromatous disease (BAD) is a distinct nosological entity of single subcortical infarction (SSI) that may guide management and prognosis.[8] The differences in cognitive performance between the two subtypes of SSIs can be used to distinguish their different etiological mechanisms. The present descriptive investigation compared cognitive performance between patients with BAD (atheromatous plaque of the parent artery at the orifice of the perforating artery) and CSVD-related SSI (lacunar infarction from intrinsic CSVD pathologically characterized by lipohyalinosis and fibrinoid degeneration). Based on the comparison of the differences in the cognitive function of SSI patients with different etiological mechanisms, the correlations between different cognitive function assessment scales in these patients were further analyzed. We also provided reference data for SSI patients using the Shape Trail Test A (STT-A) and STT-B to assess impairment in cognitive function.
Methods
Ethical approval The study was approved by the Ethics Committee of West China Hospital (No. 2020 [324]), and the informed consent was obtained from all participants. The study was approved by the Ethics Committee of West China Hospital (No. 2020 [324]), and the informed consent was obtained from all participants. Patients We prospectively recruited consecutive patients (age, 18–80 years) admitted to West China Hospital between July 2017 and November 2020 with first ever acute ischemic stroke due to a SSI (basal ganglia, corona radiata, internal capsule, and thalamus) identified by diffusion-weighted imaging (DWI) performed within 14 days of symptom onset. Patients were excluded if they had a history of other neurological or psychiatric diseases or pre-existing cognitive dysfunction; hearing or communication disorder, color blindness, or severe paralysis that would impair performance on tests; evidence of prior stroke on brain imaging; coexistent ≥50% stenosis in any of the ipsilateral internal carotid, middle or anterior cerebral, vertebral, basilar, or posterior cerebral arteries on computed tomography angiography (CTA); multiple lesions on magnetic resonance imaging (MRI) DWI; nonatherosclerotic vasculopathy (eg, dissection, vasculitis, and moyamoya disease); and evidence of any potential source of cardioembolism (eg, atrial fibrillation, recent myocardial infarction, dilated cardiomyopathy, valvular heart disease, or infective endocarditis). Baseline characteristics including age, sex, years of education, dominant hemispheric infarction, lesion location (based on the strategic subcortical infarcts potentially affecting cognitive function in previous studies), cardiovascular risk factors (hypertension, diabetes mellitus, hyperlipidemia, coronary artery disease, current alcohol consumption, and smoking status), and time from symptom onset to admission were systematically recorded. The severity of neurological impairment was measured using the National Institutes of Health Stroke Scale (NIHSS) score. All patients underwent 24 h of electrocardiographic monitoring and/or Holter monitoring and transthoracic echocardiography to exclude those with cardioembolism. The Beijing version of the Montreal Cognitive Assessment (MoCA-BJ), Trail Making Test (TMT), and Stroop Color and Word Test (SCWT) were administered during hospitalization within 14 days after symptom onset. The patients were divided into two groups according to lesion size on DWI: BAD was defined as a SSI lesion (diameter ≥15 mm) in ≥3 consecutive axial slices; CSVD-related SSI was defined as a SSI lesion (diameter <15 mm) in less than three axial slices.[9] We prospectively recruited consecutive patients (age, 18–80 years) admitted to West China Hospital between July 2017 and November 2020 with first ever acute ischemic stroke due to a SSI (basal ganglia, corona radiata, internal capsule, and thalamus) identified by diffusion-weighted imaging (DWI) performed within 14 days of symptom onset. Patients were excluded if they had a history of other neurological or psychiatric diseases or pre-existing cognitive dysfunction; hearing or communication disorder, color blindness, or severe paralysis that would impair performance on tests; evidence of prior stroke on brain imaging; coexistent ≥50% stenosis in any of the ipsilateral internal carotid, middle or anterior cerebral, vertebral, basilar, or posterior cerebral arteries on computed tomography angiography (CTA); multiple lesions on magnetic resonance imaging (MRI) DWI; nonatherosclerotic vasculopathy (eg, dissection, vasculitis, and moyamoya disease); and evidence of any potential source of cardioembolism (eg, atrial fibrillation, recent myocardial infarction, dilated cardiomyopathy, valvular heart disease, or infective endocarditis). Baseline characteristics including age, sex, years of education, dominant hemispheric infarction, lesion location (based on the strategic subcortical infarcts potentially affecting cognitive function in previous studies), cardiovascular risk factors (hypertension, diabetes mellitus, hyperlipidemia, coronary artery disease, current alcohol consumption, and smoking status), and time from symptom onset to admission were systematically recorded. The severity of neurological impairment was measured using the National Institutes of Health Stroke Scale (NIHSS) score. All patients underwent 24 h of electrocardiographic monitoring and/or Holter monitoring and transthoracic echocardiography to exclude those with cardioembolism. The Beijing version of the Montreal Cognitive Assessment (MoCA-BJ), Trail Making Test (TMT), and Stroop Color and Word Test (SCWT) were administered during hospitalization within 14 days after symptom onset. The patients were divided into two groups according to lesion size on DWI: BAD was defined as a SSI lesion (diameter ≥15 mm) in ≥3 consecutive axial slices; CSVD-related SSI was defined as a SSI lesion (diameter <15 mm) in less than three axial slices.[9] CSVD MRI markers Lacunes were defined as round or ovoid lesions (>3 mm and <20 mm diameter) occurring in the basal ganglia, internal capsule, centrum semiovale, or brainstem, with cerebrospinal fluid signal intensity on T2 and fluid-attenuated inversion recovery (FLAIR), generally with a hyperintense rim on FLAIR and no increased signal on DWI,[10] and defined as single or multiple.[11] Enlarged perivascular spaces (EPVSs) were defined as small (<3 mm) punctate (if perpendicular) and linear (if longitudinal to the plane of scan) hyperintensities on T2 images in the basal ganglia or centrum semiovale. According to a validated semiquantitative scale of 0 to 4,[12] EPVSs in the basal ganglia were categorized as moderate to severe (grades 2–4).[11] Deep and periventricular white matter hyperintensities (WMH) were coded from 0 to 3 on the Fazekas scale[13] and categorized as either (early) confluent deep (score 2 or 3) or irregular periventricular extending into the deep white matter (score 3).[11] Two experienced neurologists blinded to patient data manually assessed the number of lacunes, EPVS, and WMH severity, with 10 patients randomly selected for assessment of the reproducibility of measurements. Any discrepancies between the two observers were resolved by consensus. Lacunes were defined as round or ovoid lesions (>3 mm and <20 mm diameter) occurring in the basal ganglia, internal capsule, centrum semiovale, or brainstem, with cerebrospinal fluid signal intensity on T2 and fluid-attenuated inversion recovery (FLAIR), generally with a hyperintense rim on FLAIR and no increased signal on DWI,[10] and defined as single or multiple.[11] Enlarged perivascular spaces (EPVSs) were defined as small (<3 mm) punctate (if perpendicular) and linear (if longitudinal to the plane of scan) hyperintensities on T2 images in the basal ganglia or centrum semiovale. According to a validated semiquantitative scale of 0 to 4,[12] EPVSs in the basal ganglia were categorized as moderate to severe (grades 2–4).[11] Deep and periventricular white matter hyperintensities (WMH) were coded from 0 to 3 on the Fazekas scale[13] and categorized as either (early) confluent deep (score 2 or 3) or irregular periventricular extending into the deep white matter (score 3).[11] Two experienced neurologists blinded to patient data manually assessed the number of lacunes, EPVS, and WMH severity, with 10 patients randomly selected for assessment of the reproducibility of measurements. Any discrepancies between the two observers were resolved by consensus. Cognitive assessments The MoCA-BJ was used to assess cognition, as it is a widely accepted, popular, and brief standardized measure of cognition for use after stroke,[14] with a cut-off score of 26 showing excellent sensitivity (90.4%) and fair specificity (31.3%) for mild cognitive impairment (MCI).[15] The TMT is another sensitive and popular test used to identify MCI and dementia, with the variant STT for Chinese consisting of two parts[16]: Part A, in which the participant is asked to connect 25 pre-instructed digits, and Part B, in which the participant is required to alternately connect 25 pre-instructed digits, each appearing twice in both a circle and a square. In practice, derived scores usually remove the speed (in seconds) component from performance to provide a more refined measure of executive control.[17] However, Zhao et al[16] developed an index measure, “STT-B-1 min,” defined as the number of correct responses within the first minute, to improve efficiency and performance. Receiver operating characteristic curve (ROC) analysis indicated area under the curve (AUC) values ranging from 0.816 to 0.913 for the STT-A and STT-B, with acceptable sensitivity and specificity. The SCWT is widely used to evaluate basic human executive functions, particularly attention and informational processes.[18] It consists of neutral or incongruent colored words presented to participants who are asked to connect the correct name of a given color (card A, black wording) with the color (card B). Card C features the names of colors but with competing color names (eg, the word “green” written in red). Scores are derived from the difference in completion times (Stroop interference effects [SIE] time consuming) and correct numbers (SIE right numbers) between cards C and B, in which the larger the SIE, the lower the interference suppression efficiency.[19] The MoCA-BJ was used to assess cognition, as it is a widely accepted, popular, and brief standardized measure of cognition for use after stroke,[14] with a cut-off score of 26 showing excellent sensitivity (90.4%) and fair specificity (31.3%) for mild cognitive impairment (MCI).[15] The TMT is another sensitive and popular test used to identify MCI and dementia, with the variant STT for Chinese consisting of two parts[16]: Part A, in which the participant is asked to connect 25 pre-instructed digits, and Part B, in which the participant is required to alternately connect 25 pre-instructed digits, each appearing twice in both a circle and a square. In practice, derived scores usually remove the speed (in seconds) component from performance to provide a more refined measure of executive control.[17] However, Zhao et al[16] developed an index measure, “STT-B-1 min,” defined as the number of correct responses within the first minute, to improve efficiency and performance. Receiver operating characteristic curve (ROC) analysis indicated area under the curve (AUC) values ranging from 0.816 to 0.913 for the STT-A and STT-B, with acceptable sensitivity and specificity. The SCWT is widely used to evaluate basic human executive functions, particularly attention and informational processes.[18] It consists of neutral or incongruent colored words presented to participants who are asked to connect the correct name of a given color (card A, black wording) with the color (card B). Card C features the names of colors but with competing color names (eg, the word “green” written in red). Scores are derived from the difference in completion times (Stroop interference effects [SIE] time consuming) and correct numbers (SIE right numbers) between cards C and B, in which the larger the SIE, the lower the interference suppression efficiency.[19] Statistical analysis One-sample Shapiro-Wilk tests were used to assess data normality. Continuous variables with normal distribution were expressed as means ± standard deviation, while those with skewed distributions were expressed as medians (interquartile range). Significance testing was performed using an independent t test and Mann-Whitney U test as appropriate. Categorical variables were shown as numbers and percentages (%) and compared using chi-squared and Fisher's exact tests. A generalized linear model was used to examine the association between SSI patients with different etiological mechanisms and their cognitive function after adjusting for age, years of education, NIHSS, and lesion location. The correlations between MoCA-BJ, STT, and SCWT were analyzed using Spearman's correlation analysis. ROC analysis was used to assess sensitivity, specificity, and cut-off scores, with the AUCs used as an overall index of performance. In ROC analysis, we used a MoCA-BJ score of <26 as the “gold standard” to classify patients with SSI as cognitively impaired or cognitively normal. All analyses were two sided, and statistical significance was set at P < 0.05. All analyses were performed using IBM SPSS Statistics for Windows, version 26.0 (IBM, Armonk, NY, USA). One-sample Shapiro-Wilk tests were used to assess data normality. Continuous variables with normal distribution were expressed as means ± standard deviation, while those with skewed distributions were expressed as medians (interquartile range). Significance testing was performed using an independent t test and Mann-Whitney U test as appropriate. Categorical variables were shown as numbers and percentages (%) and compared using chi-squared and Fisher's exact tests. A generalized linear model was used to examine the association between SSI patients with different etiological mechanisms and their cognitive function after adjusting for age, years of education, NIHSS, and lesion location. The correlations between MoCA-BJ, STT, and SCWT were analyzed using Spearman's correlation analysis. ROC analysis was used to assess sensitivity, specificity, and cut-off scores, with the AUCs used as an overall index of performance. In ROC analysis, we used a MoCA-BJ score of <26 as the “gold standard” to classify patients with SSI as cognitively impaired or cognitively normal. All analyses were two sided, and statistical significance was set at P < 0.05. All analyses were performed using IBM SPSS Statistics for Windows, version 26.0 (IBM, Armonk, NY, USA).
Results
This study enrolled a total of 106 patients, including 49 and 57 patients with BAD and CSVD-related SSI, respectively. CSVD-related SSI patients were more likely to have hypertension and were current smokers, while BAD patients were more likely to have hyperlipidemia and higher baseline NIHSS scores [Table 1]. Table 2 shows the differences in MoCA-BJ, STT, and SCWT tests, with significant differences observed in the STT-A (83 [60.5–120.0] vs. 68 [49.0–86.5]; P = 0.01), STT-B (204 [151.5–294.5] vs. 153 [126.5–212.5]; P = 0.015), and number of correct answers on the Stroop-C (46 [41–49] vs. 49 [45–50]; P = 0.035) between the BAD and CSVD-related SSI groups. Borderline significant differences were observed in the orientation of MoCA-BJ (P = 0.08), STT-B-1 min (P = 0.056), and SIE right numbers (P = 0.094). Baseline characteristics in the BAD and CSVD-related SSI groups. Statistically significant. Data are presented as mean ± standard deviation, n (%) or median (interquartile range). BAD: Branch atheromatous disease; CSVD: Cerebral small vessel disease; EPVS: Enlarged perivascular spaces (defined as moderate to severe EPVS in the basal ganglia); NIHSS: National Institutes of Health Stroke Scale; SSI: Single subcortical infarction; WMH: White matter hyperintensity (defined as deep white matter hyperintensity [DWMH] [Fazekas score 2 or 3] or periventricular white matter hyperintensity [PWMH] [Fazekas score 3]). Baseline differences in cognitive measures between BAD and CSVD-related SSI groups. Statistically significant. Data are presented as n (%) or median (interquartile range). BAD: Branch atheromatous disease; CSVD: Cerebral small vessel disease; MoCA-BJ: Beijing version of the Montreal Cognitive Assessment; STT: Shape Trail Test; STT-A: Shape Trail Test A; SCWT: Stroop Color and Word Test; SSI: Single subcortical infarction; SIE: Stroop interference effects. After adjusting for age, years of education, NIHSS score, and lesion location, the performance of BAD patients on STT-A and STT-B remained worse than that of CSVD-related SSI patients (STT-A: β coefficient, −16.168, 95% confidence interval [CI], −29.363 to −2.972, P = 0.016; STT-B: β coefficient, −23.347, 95% CI, −43.841 to −2.853, P = 0.026) [Table 3]. A generalized linear model for analyzing the association between different etiological mechanisms and cognitive function in patients with SSI. Statistically significant. BAD: Branch atheromatous disease; CSVD: Cerebral small vessel disease; CI: Confidence interval; NIHSS: National Institutes of Health Stroke Scale; Ref: Reference; STT: Shape Trail Test; STT-A: Shape Trail Test A; SSI: Single subcortical infarction. The results of correlation analysis showed significant correlations between MoCA-BJ and STT and SCWT but not STT B/A (r = −0.033, P = 0.736); between STT-A and SCWT but not Stroop-A (correct) (r = −0.053, P = 0.593); between STT-B and SCWT but not STT B/A (r = −0.022, P = 0.823) or Stroop-A (correct) (r = −0.183, P = 0.061); and between Stroop-C (correct) and STT but not STT B/A (r = −0.010, P = 0.915). High correlations were observed for MoCA-BJ and STT-B (r = −0.640, P < 0.001) [Table 4]. Correlation data for the MoCA-BJ, STT, and SCWT in patients with SSI (n = 106). Significant correlation, P < 0.01. Significant correlation, P < 0.05. MoCA-BJ: Beijing version of the Montreal Cognitive Assessment; STT: Shape Trail Test; STT-A: Shape Trail Test A; SCWT: Stroop Color and Word Test; SSI: Single subcortical infarction. Table 5 shows the optimum performance for STT-A and STT-B in identifying cognitive impairment in patients with SSI. In BAD patients, cut-off scores of 62 s and 156 s were the best for the STT-A and STT-B, respectively. For CSVD-related SSI patients, cut-off scores of 68.5 s and 151 s were ideal for STT-A and STT-B, respectively. ROC analysis of the STT-A and STT-B for the identification of cognitive impairment in patients with SSI. Statistically significant. AUC: Area under the curve; BAD: Branch atheromatous disease; CSVD: Cerebral small vessel disease; CI: Confidence interval; ROC: Receiver operating characteristic curve; STT: Shape Trail Test; STT-A: Shape Trail Test A; SSI: Single subcortical infarction.
null
null
[ "Ethical approval", "CSVD MRI markers", "Cognitive assessments", "Statistical analysis", "Funding" ]
[ "The study was approved by the Ethics Committee of West China Hospital (No. 2020 [324]), and the informed consent was obtained from all participants.", "Lacunes were defined as round or ovoid lesions (>3 mm and <20 mm diameter) occurring in the basal ganglia, internal capsule, centrum semiovale, or brainstem, with cerebrospinal fluid signal intensity on T2 and fluid-attenuated inversion recovery (FLAIR), generally with a hyperintense rim on FLAIR and no increased signal on DWI,[10] and defined as single or multiple.[11] Enlarged perivascular spaces (EPVSs) were defined as small (<3 mm) punctate (if perpendicular) and linear (if longitudinal to the plane of scan) hyperintensities on T2 images in the basal ganglia or centrum semiovale. According to a validated semiquantitative scale of 0 to 4,[12] EPVSs in the basal ganglia were categorized as moderate to severe (grades 2–4).[11] Deep and periventricular white matter hyperintensities (WMH) were coded from 0 to 3 on the Fazekas scale[13] and categorized as either (early) confluent deep (score 2 or 3) or irregular periventricular extending into the deep white matter (score 3).[11] Two experienced neurologists blinded to patient data manually assessed the number of lacunes, EPVS, and WMH severity, with 10 patients randomly selected for assessment of the reproducibility of measurements. Any discrepancies between the two observers were resolved by consensus.", "The MoCA-BJ was used to assess cognition, as it is a widely accepted, popular, and brief standardized measure of cognition for use after stroke,[14] with a cut-off score of 26 showing excellent sensitivity (90.4%) and fair specificity (31.3%) for mild cognitive impairment (MCI).[15]\nThe TMT is another sensitive and popular test used to identify MCI and dementia, with the variant STT for Chinese consisting of two parts[16]: Part A, in which the participant is asked to connect 25 pre-instructed digits, and Part B, in which the participant is required to alternately connect 25 pre-instructed digits, each appearing twice in both a circle and a square. In practice, derived scores usually remove the speed (in seconds) component from performance to provide a more refined measure of executive control.[17] However, Zhao et al[16] developed an index measure, “STT-B-1 min,” defined as the number of correct responses within the first minute, to improve efficiency and performance. Receiver operating characteristic curve (ROC) analysis indicated area under the curve (AUC) values ranging from 0.816 to 0.913 for the STT-A and STT-B, with acceptable sensitivity and specificity.\nThe SCWT is widely used to evaluate basic human executive functions, particularly attention and informational processes.[18] It consists of neutral or incongruent colored words presented to participants who are asked to connect the correct name of a given color (card A, black wording) with the color (card B). Card C features the names of colors but with competing color names (eg, the word “green” written in red). Scores are derived from the difference in completion times (Stroop interference effects [SIE] time consuming) and correct numbers (SIE right numbers) between cards C and B, in which the larger the SIE, the lower the interference suppression efficiency.[19]", "One-sample Shapiro-Wilk tests were used to assess data normality. Continuous variables with normal distribution were expressed as means ± standard deviation, while those with skewed distributions were expressed as medians (interquartile range). Significance testing was performed using an independent t test and Mann-Whitney U test as appropriate. Categorical variables were shown as numbers and percentages (%) and compared using chi-squared and Fisher's exact tests. A generalized linear model was used to examine the association between SSI patients with different etiological mechanisms and their cognitive function after adjusting for age, years of education, NIHSS, and lesion location. The correlations between MoCA-BJ, STT, and SCWT were analyzed using Spearman's correlation analysis. ROC analysis was used to assess sensitivity, specificity, and cut-off scores, with the AUCs used as an overall index of performance. In ROC analysis, we used a MoCA-BJ score of <26 as the “gold standard” to classify patients with SSI as cognitively impaired or cognitively normal. All analyses were two sided, and statistical significance was set at P < 0.05. All analyses were performed using IBM SPSS Statistics for Windows, version 26.0 (IBM, Armonk, NY, USA).", "This work was supported by grants from the 1·3·5 project for disciplines of excellence, Clinical Research Incubation Project, West China Hospital, Sichuan University (No. 2020HXFH012), and the National Natural Science Foundation of China (Nos. 82071320 and 81870937)." ]
[ null, null, null, null, null ]
[ "Introduction", "Methods", "Ethical approval", "Patients", "CSVD MRI markers", "Cognitive assessments", "Statistical analysis", "Results", "Discussion", "Funding", "Conflicts of interest" ]
[ "Cognitive impairment is common after acute stroke.[1] While conceptually this is more likely to occur after large or strategically located areas of cerebral infarction, studies suggest that half of the survivors of first-ever lacunar infarction have cognitive deficits that are severe enough to impair daily activities.[2,3] Underlying cerebral small vessel disease (CSVD) is another pathophysiological explanation, in which domains of executive function, attention, memory, processing speed, and verbal fluency are prominent,[4] yet memory loss is the most commonly impaired cognitive domain after lacunar infarction.[5] While processing speed is one of the earliest and most prominent progressive cognitive impairments associated with CSVD, lesions of the frontal interhemispheric and thalamic projection fiber tracts that involve the frontal-subcortical neuronal circuits are also predictors of processing speed performance in age-related CSVD.[6] Thus, CSVD-related cognitive impairment is likely to depend on lesion location, particularly in the internal capsule, thalamus, caudate nuclei, anterior thalamic radiation, and forceps minor.[7] Through in vivo visualization of proximal culprit plaques in the penetrating arteries of the middle cerebral artery, we propose that branch atheromatous disease (BAD) is a distinct nosological entity of single subcortical infarction (SSI) that may guide management and prognosis.[8] The differences in cognitive performance between the two subtypes of SSIs can be used to distinguish their different etiological mechanisms. The present descriptive investigation compared cognitive performance between patients with BAD (atheromatous plaque of the parent artery at the orifice of the perforating artery) and CSVD-related SSI (lacunar infarction from intrinsic CSVD pathologically characterized by lipohyalinosis and fibrinoid degeneration). Based on the comparison of the differences in the cognitive function of SSI patients with different etiological mechanisms, the correlations between different cognitive function assessment scales in these patients were further analyzed. We also provided reference data for SSI patients using the Shape Trail Test A (STT-A) and STT-B to assess impairment in cognitive function.", "Ethical approval The study was approved by the Ethics Committee of West China Hospital (No. 2020 [324]), and the informed consent was obtained from all participants.\nThe study was approved by the Ethics Committee of West China Hospital (No. 2020 [324]), and the informed consent was obtained from all participants.\nPatients We prospectively recruited consecutive patients (age, 18–80 years) admitted to West China Hospital between July 2017 and November 2020 with first ever acute ischemic stroke due to a SSI (basal ganglia, corona radiata, internal capsule, and thalamus) identified by diffusion-weighted imaging (DWI) performed within 14 days of symptom onset. Patients were excluded if they had a history of other neurological or psychiatric diseases or pre-existing cognitive dysfunction; hearing or communication disorder, color blindness, or severe paralysis that would impair performance on tests; evidence of prior stroke on brain imaging; coexistent ≥50% stenosis in any of the ipsilateral internal carotid, middle or anterior cerebral, vertebral, basilar, or posterior cerebral arteries on computed tomography angiography (CTA); multiple lesions on magnetic resonance imaging (MRI) DWI; nonatherosclerotic vasculopathy (eg, dissection, vasculitis, and moyamoya disease); and evidence of any potential source of cardioembolism (eg, atrial fibrillation, recent myocardial infarction, dilated cardiomyopathy, valvular heart disease, or infective endocarditis).\nBaseline characteristics including age, sex, years of education, dominant hemispheric infarction, lesion location (based on the strategic subcortical infarcts potentially affecting cognitive function in previous studies), cardiovascular risk factors (hypertension, diabetes mellitus, hyperlipidemia, coronary artery disease, current alcohol consumption, and smoking status), and time from symptom onset to admission were systematically recorded. The severity of neurological impairment was measured using the National Institutes of Health Stroke Scale (NIHSS) score. All patients underwent 24 h of electrocardiographic monitoring and/or Holter monitoring and transthoracic echocardiography to exclude those with cardioembolism. The Beijing version of the Montreal Cognitive Assessment (MoCA-BJ), Trail Making Test (TMT), and Stroop Color and Word Test (SCWT) were administered during hospitalization within 14 days after symptom onset. The patients were divided into two groups according to lesion size on DWI: BAD was defined as a SSI lesion (diameter ≥15 mm) in ≥3 consecutive axial slices; CSVD-related SSI was defined as a SSI lesion (diameter <15 mm) in less than three axial slices.[9]\nWe prospectively recruited consecutive patients (age, 18–80 years) admitted to West China Hospital between July 2017 and November 2020 with first ever acute ischemic stroke due to a SSI (basal ganglia, corona radiata, internal capsule, and thalamus) identified by diffusion-weighted imaging (DWI) performed within 14 days of symptom onset. Patients were excluded if they had a history of other neurological or psychiatric diseases or pre-existing cognitive dysfunction; hearing or communication disorder, color blindness, or severe paralysis that would impair performance on tests; evidence of prior stroke on brain imaging; coexistent ≥50% stenosis in any of the ipsilateral internal carotid, middle or anterior cerebral, vertebral, basilar, or posterior cerebral arteries on computed tomography angiography (CTA); multiple lesions on magnetic resonance imaging (MRI) DWI; nonatherosclerotic vasculopathy (eg, dissection, vasculitis, and moyamoya disease); and evidence of any potential source of cardioembolism (eg, atrial fibrillation, recent myocardial infarction, dilated cardiomyopathy, valvular heart disease, or infective endocarditis).\nBaseline characteristics including age, sex, years of education, dominant hemispheric infarction, lesion location (based on the strategic subcortical infarcts potentially affecting cognitive function in previous studies), cardiovascular risk factors (hypertension, diabetes mellitus, hyperlipidemia, coronary artery disease, current alcohol consumption, and smoking status), and time from symptom onset to admission were systematically recorded. The severity of neurological impairment was measured using the National Institutes of Health Stroke Scale (NIHSS) score. All patients underwent 24 h of electrocardiographic monitoring and/or Holter monitoring and transthoracic echocardiography to exclude those with cardioembolism. The Beijing version of the Montreal Cognitive Assessment (MoCA-BJ), Trail Making Test (TMT), and Stroop Color and Word Test (SCWT) were administered during hospitalization within 14 days after symptom onset. The patients were divided into two groups according to lesion size on DWI: BAD was defined as a SSI lesion (diameter ≥15 mm) in ≥3 consecutive axial slices; CSVD-related SSI was defined as a SSI lesion (diameter <15 mm) in less than three axial slices.[9]\nCSVD MRI markers Lacunes were defined as round or ovoid lesions (>3 mm and <20 mm diameter) occurring in the basal ganglia, internal capsule, centrum semiovale, or brainstem, with cerebrospinal fluid signal intensity on T2 and fluid-attenuated inversion recovery (FLAIR), generally with a hyperintense rim on FLAIR and no increased signal on DWI,[10] and defined as single or multiple.[11] Enlarged perivascular spaces (EPVSs) were defined as small (<3 mm) punctate (if perpendicular) and linear (if longitudinal to the plane of scan) hyperintensities on T2 images in the basal ganglia or centrum semiovale. According to a validated semiquantitative scale of 0 to 4,[12] EPVSs in the basal ganglia were categorized as moderate to severe (grades 2–4).[11] Deep and periventricular white matter hyperintensities (WMH) were coded from 0 to 3 on the Fazekas scale[13] and categorized as either (early) confluent deep (score 2 or 3) or irregular periventricular extending into the deep white matter (score 3).[11] Two experienced neurologists blinded to patient data manually assessed the number of lacunes, EPVS, and WMH severity, with 10 patients randomly selected for assessment of the reproducibility of measurements. Any discrepancies between the two observers were resolved by consensus.\nLacunes were defined as round or ovoid lesions (>3 mm and <20 mm diameter) occurring in the basal ganglia, internal capsule, centrum semiovale, or brainstem, with cerebrospinal fluid signal intensity on T2 and fluid-attenuated inversion recovery (FLAIR), generally with a hyperintense rim on FLAIR and no increased signal on DWI,[10] and defined as single or multiple.[11] Enlarged perivascular spaces (EPVSs) were defined as small (<3 mm) punctate (if perpendicular) and linear (if longitudinal to the plane of scan) hyperintensities on T2 images in the basal ganglia or centrum semiovale. According to a validated semiquantitative scale of 0 to 4,[12] EPVSs in the basal ganglia were categorized as moderate to severe (grades 2–4).[11] Deep and periventricular white matter hyperintensities (WMH) were coded from 0 to 3 on the Fazekas scale[13] and categorized as either (early) confluent deep (score 2 or 3) or irregular periventricular extending into the deep white matter (score 3).[11] Two experienced neurologists blinded to patient data manually assessed the number of lacunes, EPVS, and WMH severity, with 10 patients randomly selected for assessment of the reproducibility of measurements. Any discrepancies between the two observers were resolved by consensus.\nCognitive assessments The MoCA-BJ was used to assess cognition, as it is a widely accepted, popular, and brief standardized measure of cognition for use after stroke,[14] with a cut-off score of 26 showing excellent sensitivity (90.4%) and fair specificity (31.3%) for mild cognitive impairment (MCI).[15]\nThe TMT is another sensitive and popular test used to identify MCI and dementia, with the variant STT for Chinese consisting of two parts[16]: Part A, in which the participant is asked to connect 25 pre-instructed digits, and Part B, in which the participant is required to alternately connect 25 pre-instructed digits, each appearing twice in both a circle and a square. In practice, derived scores usually remove the speed (in seconds) component from performance to provide a more refined measure of executive control.[17] However, Zhao et al[16] developed an index measure, “STT-B-1 min,” defined as the number of correct responses within the first minute, to improve efficiency and performance. Receiver operating characteristic curve (ROC) analysis indicated area under the curve (AUC) values ranging from 0.816 to 0.913 for the STT-A and STT-B, with acceptable sensitivity and specificity.\nThe SCWT is widely used to evaluate basic human executive functions, particularly attention and informational processes.[18] It consists of neutral or incongruent colored words presented to participants who are asked to connect the correct name of a given color (card A, black wording) with the color (card B). Card C features the names of colors but with competing color names (eg, the word “green” written in red). Scores are derived from the difference in completion times (Stroop interference effects [SIE] time consuming) and correct numbers (SIE right numbers) between cards C and B, in which the larger the SIE, the lower the interference suppression efficiency.[19]\nThe MoCA-BJ was used to assess cognition, as it is a widely accepted, popular, and brief standardized measure of cognition for use after stroke,[14] with a cut-off score of 26 showing excellent sensitivity (90.4%) and fair specificity (31.3%) for mild cognitive impairment (MCI).[15]\nThe TMT is another sensitive and popular test used to identify MCI and dementia, with the variant STT for Chinese consisting of two parts[16]: Part A, in which the participant is asked to connect 25 pre-instructed digits, and Part B, in which the participant is required to alternately connect 25 pre-instructed digits, each appearing twice in both a circle and a square. In practice, derived scores usually remove the speed (in seconds) component from performance to provide a more refined measure of executive control.[17] However, Zhao et al[16] developed an index measure, “STT-B-1 min,” defined as the number of correct responses within the first minute, to improve efficiency and performance. Receiver operating characteristic curve (ROC) analysis indicated area under the curve (AUC) values ranging from 0.816 to 0.913 for the STT-A and STT-B, with acceptable sensitivity and specificity.\nThe SCWT is widely used to evaluate basic human executive functions, particularly attention and informational processes.[18] It consists of neutral or incongruent colored words presented to participants who are asked to connect the correct name of a given color (card A, black wording) with the color (card B). Card C features the names of colors but with competing color names (eg, the word “green” written in red). Scores are derived from the difference in completion times (Stroop interference effects [SIE] time consuming) and correct numbers (SIE right numbers) between cards C and B, in which the larger the SIE, the lower the interference suppression efficiency.[19]\nStatistical analysis One-sample Shapiro-Wilk tests were used to assess data normality. Continuous variables with normal distribution were expressed as means ± standard deviation, while those with skewed distributions were expressed as medians (interquartile range). Significance testing was performed using an independent t test and Mann-Whitney U test as appropriate. Categorical variables were shown as numbers and percentages (%) and compared using chi-squared and Fisher's exact tests. A generalized linear model was used to examine the association between SSI patients with different etiological mechanisms and their cognitive function after adjusting for age, years of education, NIHSS, and lesion location. The correlations between MoCA-BJ, STT, and SCWT were analyzed using Spearman's correlation analysis. ROC analysis was used to assess sensitivity, specificity, and cut-off scores, with the AUCs used as an overall index of performance. In ROC analysis, we used a MoCA-BJ score of <26 as the “gold standard” to classify patients with SSI as cognitively impaired or cognitively normal. All analyses were two sided, and statistical significance was set at P < 0.05. All analyses were performed using IBM SPSS Statistics for Windows, version 26.0 (IBM, Armonk, NY, USA).\nOne-sample Shapiro-Wilk tests were used to assess data normality. Continuous variables with normal distribution were expressed as means ± standard deviation, while those with skewed distributions were expressed as medians (interquartile range). Significance testing was performed using an independent t test and Mann-Whitney U test as appropriate. Categorical variables were shown as numbers and percentages (%) and compared using chi-squared and Fisher's exact tests. A generalized linear model was used to examine the association between SSI patients with different etiological mechanisms and their cognitive function after adjusting for age, years of education, NIHSS, and lesion location. The correlations between MoCA-BJ, STT, and SCWT were analyzed using Spearman's correlation analysis. ROC analysis was used to assess sensitivity, specificity, and cut-off scores, with the AUCs used as an overall index of performance. In ROC analysis, we used a MoCA-BJ score of <26 as the “gold standard” to classify patients with SSI as cognitively impaired or cognitively normal. All analyses were two sided, and statistical significance was set at P < 0.05. All analyses were performed using IBM SPSS Statistics for Windows, version 26.0 (IBM, Armonk, NY, USA).", "The study was approved by the Ethics Committee of West China Hospital (No. 2020 [324]), and the informed consent was obtained from all participants.", "We prospectively recruited consecutive patients (age, 18–80 years) admitted to West China Hospital between July 2017 and November 2020 with first ever acute ischemic stroke due to a SSI (basal ganglia, corona radiata, internal capsule, and thalamus) identified by diffusion-weighted imaging (DWI) performed within 14 days of symptom onset. Patients were excluded if they had a history of other neurological or psychiatric diseases or pre-existing cognitive dysfunction; hearing or communication disorder, color blindness, or severe paralysis that would impair performance on tests; evidence of prior stroke on brain imaging; coexistent ≥50% stenosis in any of the ipsilateral internal carotid, middle or anterior cerebral, vertebral, basilar, or posterior cerebral arteries on computed tomography angiography (CTA); multiple lesions on magnetic resonance imaging (MRI) DWI; nonatherosclerotic vasculopathy (eg, dissection, vasculitis, and moyamoya disease); and evidence of any potential source of cardioembolism (eg, atrial fibrillation, recent myocardial infarction, dilated cardiomyopathy, valvular heart disease, or infective endocarditis).\nBaseline characteristics including age, sex, years of education, dominant hemispheric infarction, lesion location (based on the strategic subcortical infarcts potentially affecting cognitive function in previous studies), cardiovascular risk factors (hypertension, diabetes mellitus, hyperlipidemia, coronary artery disease, current alcohol consumption, and smoking status), and time from symptom onset to admission were systematically recorded. The severity of neurological impairment was measured using the National Institutes of Health Stroke Scale (NIHSS) score. All patients underwent 24 h of electrocardiographic monitoring and/or Holter monitoring and transthoracic echocardiography to exclude those with cardioembolism. The Beijing version of the Montreal Cognitive Assessment (MoCA-BJ), Trail Making Test (TMT), and Stroop Color and Word Test (SCWT) were administered during hospitalization within 14 days after symptom onset. The patients were divided into two groups according to lesion size on DWI: BAD was defined as a SSI lesion (diameter ≥15 mm) in ≥3 consecutive axial slices; CSVD-related SSI was defined as a SSI lesion (diameter <15 mm) in less than three axial slices.[9]", "Lacunes were defined as round or ovoid lesions (>3 mm and <20 mm diameter) occurring in the basal ganglia, internal capsule, centrum semiovale, or brainstem, with cerebrospinal fluid signal intensity on T2 and fluid-attenuated inversion recovery (FLAIR), generally with a hyperintense rim on FLAIR and no increased signal on DWI,[10] and defined as single or multiple.[11] Enlarged perivascular spaces (EPVSs) were defined as small (<3 mm) punctate (if perpendicular) and linear (if longitudinal to the plane of scan) hyperintensities on T2 images in the basal ganglia or centrum semiovale. According to a validated semiquantitative scale of 0 to 4,[12] EPVSs in the basal ganglia were categorized as moderate to severe (grades 2–4).[11] Deep and periventricular white matter hyperintensities (WMH) were coded from 0 to 3 on the Fazekas scale[13] and categorized as either (early) confluent deep (score 2 or 3) or irregular periventricular extending into the deep white matter (score 3).[11] Two experienced neurologists blinded to patient data manually assessed the number of lacunes, EPVS, and WMH severity, with 10 patients randomly selected for assessment of the reproducibility of measurements. Any discrepancies between the two observers were resolved by consensus.", "The MoCA-BJ was used to assess cognition, as it is a widely accepted, popular, and brief standardized measure of cognition for use after stroke,[14] with a cut-off score of 26 showing excellent sensitivity (90.4%) and fair specificity (31.3%) for mild cognitive impairment (MCI).[15]\nThe TMT is another sensitive and popular test used to identify MCI and dementia, with the variant STT for Chinese consisting of two parts[16]: Part A, in which the participant is asked to connect 25 pre-instructed digits, and Part B, in which the participant is required to alternately connect 25 pre-instructed digits, each appearing twice in both a circle and a square. In practice, derived scores usually remove the speed (in seconds) component from performance to provide a more refined measure of executive control.[17] However, Zhao et al[16] developed an index measure, “STT-B-1 min,” defined as the number of correct responses within the first minute, to improve efficiency and performance. Receiver operating characteristic curve (ROC) analysis indicated area under the curve (AUC) values ranging from 0.816 to 0.913 for the STT-A and STT-B, with acceptable sensitivity and specificity.\nThe SCWT is widely used to evaluate basic human executive functions, particularly attention and informational processes.[18] It consists of neutral or incongruent colored words presented to participants who are asked to connect the correct name of a given color (card A, black wording) with the color (card B). Card C features the names of colors but with competing color names (eg, the word “green” written in red). Scores are derived from the difference in completion times (Stroop interference effects [SIE] time consuming) and correct numbers (SIE right numbers) between cards C and B, in which the larger the SIE, the lower the interference suppression efficiency.[19]", "One-sample Shapiro-Wilk tests were used to assess data normality. Continuous variables with normal distribution were expressed as means ± standard deviation, while those with skewed distributions were expressed as medians (interquartile range). Significance testing was performed using an independent t test and Mann-Whitney U test as appropriate. Categorical variables were shown as numbers and percentages (%) and compared using chi-squared and Fisher's exact tests. A generalized linear model was used to examine the association between SSI patients with different etiological mechanisms and their cognitive function after adjusting for age, years of education, NIHSS, and lesion location. The correlations between MoCA-BJ, STT, and SCWT were analyzed using Spearman's correlation analysis. ROC analysis was used to assess sensitivity, specificity, and cut-off scores, with the AUCs used as an overall index of performance. In ROC analysis, we used a MoCA-BJ score of <26 as the “gold standard” to classify patients with SSI as cognitively impaired or cognitively normal. All analyses were two sided, and statistical significance was set at P < 0.05. All analyses were performed using IBM SPSS Statistics for Windows, version 26.0 (IBM, Armonk, NY, USA).", "This study enrolled a total of 106 patients, including 49 and 57 patients with BAD and CSVD-related SSI, respectively. CSVD-related SSI patients were more likely to have hypertension and were current smokers, while BAD patients were more likely to have hyperlipidemia and higher baseline NIHSS scores [Table 1]. Table 2 shows the differences in MoCA-BJ, STT, and SCWT tests, with significant differences observed in the STT-A (83 [60.5–120.0] vs. 68 [49.0–86.5]; P = 0.01), STT-B (204 [151.5–294.5] vs. 153 [126.5–212.5]; P = 0.015), and number of correct answers on the Stroop-C (46 [41–49] vs. 49 [45–50]; P = 0.035) between the BAD and CSVD-related SSI groups. Borderline significant differences were observed in the orientation of MoCA-BJ (P = 0.08), STT-B-1 min (P = 0.056), and SIE right numbers (P = 0.094).\nBaseline characteristics in the BAD and CSVD-related SSI groups.\nStatistically significant.\nData are presented as mean ± standard deviation, n (%) or median (interquartile range).\nBAD: Branch atheromatous disease; CSVD: Cerebral small vessel disease; EPVS: Enlarged perivascular spaces (defined as moderate to severe EPVS in the basal ganglia); NIHSS: National Institutes of Health Stroke Scale; SSI: Single subcortical infarction; WMH: White matter hyperintensity (defined as deep white matter hyperintensity [DWMH] [Fazekas score 2 or 3] or periventricular white matter hyperintensity [PWMH] [Fazekas score 3]).\nBaseline differences in cognitive measures between BAD and CSVD-related SSI groups.\nStatistically significant.\nData are presented as n (%) or median (interquartile range).\nBAD: Branch atheromatous disease; CSVD: Cerebral small vessel disease; MoCA-BJ: Beijing version of the Montreal Cognitive Assessment; STT: Shape Trail Test; STT-A: Shape Trail Test A; SCWT: Stroop Color and Word Test; SSI: Single subcortical infarction; SIE: Stroop interference effects.\nAfter adjusting for age, years of education, NIHSS score, and lesion location, the performance of BAD patients on STT-A and STT-B remained worse than that of CSVD-related SSI patients (STT-A: β coefficient, −16.168, 95% confidence interval [CI], −29.363 to −2.972, P = 0.016; STT-B: β coefficient, −23.347, 95% CI, −43.841 to −2.853, P = 0.026) [Table 3].\nA generalized linear model for analyzing the association between different etiological mechanisms and cognitive function in patients with SSI.\nStatistically significant.\nBAD: Branch atheromatous disease; CSVD: Cerebral small vessel disease; CI: Confidence interval; NIHSS: National Institutes of Health Stroke Scale; Ref: Reference; STT: Shape Trail Test; STT-A: Shape Trail Test A; SSI: Single subcortical infarction.\nThe results of correlation analysis showed significant correlations between MoCA-BJ and STT and SCWT but not STT B/A (r = −0.033, P = 0.736); between STT-A and SCWT but not Stroop-A (correct) (r = −0.053, P = 0.593); between STT-B and SCWT but not STT B/A (r = −0.022, P = 0.823) or Stroop-A (correct) (r = −0.183, P = 0.061); and between Stroop-C (correct) and STT but not STT B/A (r = −0.010, P = 0.915). High correlations were observed for MoCA-BJ and STT-B (r = −0.640, P < 0.001) [Table 4].\nCorrelation data for the MoCA-BJ, STT, and SCWT in patients with SSI (n = 106).\nSignificant correlation, P < 0.01.\nSignificant correlation, P < 0.05.\nMoCA-BJ: Beijing version of the Montreal Cognitive Assessment; STT: Shape Trail Test; STT-A: Shape Trail Test A; SCWT: Stroop Color and Word Test; SSI: Single subcortical infarction.\nTable 5 shows the optimum performance for STT-A and STT-B in identifying cognitive impairment in patients with SSI. In BAD patients, cut-off scores of 62 s and 156 s were the best for the STT-A and STT-B, respectively. For CSVD-related SSI patients, cut-off scores of 68.5 s and 151 s were ideal for STT-A and STT-B, respectively.\nROC analysis of the STT-A and STT-B for the identification of cognitive impairment in patients with SSI.\nStatistically significant.\nAUC: Area under the curve; BAD: Branch atheromatous disease; CSVD: Cerebral small vessel disease; CI: Confidence interval; ROC: Receiver operating characteristic curve; STT: Shape Trail Test; STT-A: Shape Trail Test A; SSI: Single subcortical infarction.", "The results of our study showed that cognitive performance after BAD was significantly worse than that after CSVD-related SSI. We found significant differences in STT-A and STT-B between the groups but not the MoCA-BJ between the groups, which likely reflects its insensitivity to higher levels of cognitive function. These data provide insights into the mechanisms of cognitive impairment after SSI.\nThe STT is based on the TMT, which was developed for people who speak Chinese as their first language. The test assesses both “rapid visual search” and “visuospatial sequencing” factors, as well as the ability of “set shifting.” A previous study demonstrated that the STT-A reflected language and attention, while the STT-B more reflected executive function and memory.[16] Hence, BAD patients are more likely to perform worse than CSVD-related SSI patients in terms of language, attention, executive function, and memory.\nScreening tests for dementia are insensitive to the detection of mild cognitive dysfunction. The SCWT assesses the ability to inhibit cognitive interference, which occurs when the processing of a stimulus feature affects the simultaneous processing of another attribute of the same stimulus.[20] Kramer reported slower information processing in patients with subcortical ischemic vascular disease.[21] The SCWT can be used to evaluate the behavior control functions using the conflict between perception and speech.[22] Poor performances on difficult tasks such as the Stroop-B and Stroop-C are more likely to reflect genuine impairment.[23] When exploring the different cognitive status between patients with BAD and CSVD-related SSI at baseline, only Stroop-C (correct) demonstrated a statistically significant difference, indicating that the correct numbers are more sensitive than the time in this test. Nevertheless, the behavior in the incongruous condition (eg, Stroop-C) may be affected by difficulties that are not directly related to an impaired ability to suppress the interference process, which may lead to misinterpretation of the patient's performance.[24] Consequently, when assessing inhibition capability, the performance in the incongruous condition should be related to word reading and color naming abilities.[24]\nMost clinicians have difficulty in distinguishing between BAD and CSVD-related SSI. We previously found that the number of axial lesion slices (≥3), although with marginal significance, provided a better appreciation of the discrepancy of infarct compared to axial lesion diameter for predicting the mechanism of recent subcortical infarction. High-resolution MRI showed that patients with plaques presented larger infarction lesions and more proximal lesions compared to those patients without plaque, which was consistent with the imaging features of BAD.[25] The present study defined BAD as having a larger infarct diameter and more infarct layers compared to CSVD-related SSI as the infarct volume of BAD is theoretically larger. Therefore, BAD may involve more strategic regions than CSVD-related SSI, resulting in more serious cognitive impairment. While the NIHSS score is an established predictor of functional outcomes after stroke,[26] it lacks a cognitive component,[27] and its relationship with cognitive outcomes is controversial.[28,29] Yamamoto reported a higher initial NIHSS score in patients with BAD than that in patients with lipohyalinotic degeneration.[30] Fure et al[2] found that a neurologic deficit according to NIHSS was related to common cognitive variables in a bivariate analysis but not in the multivariate model, partly due to the relatively low NIHSS scores in patients with lacunar stroke. In our study, the NIHSS score at admission was also higher in the BAD group than that in the CSVD-related SSI group, which may partly explain the worse cognitive status of BAD patients. However, we observed no significant differences in CSVD MRI markers between the two groups. In other words, the burden of CSVD in patients with BAD remained substantial.\nWe performed correlation analyses to study the relationships between the MoCA-BJ, STT, and SCWT. The MoCA-BJ was significantly correlated with the STT and SCWT, except for STT B/A. The high correlations between STT and global cognition were consistent with those reported by a Chinese study.[31] Our data showed that STT-B was most related to global cognition in patients with SSI [Table 4]. The results of our analysis also revealed that STT-A and STT-B correlated well (r = 0.863). However, the Stroop-C (correct) correlated only moderately with the STT-A (r = −0.524) and STT-B (r = −0.586), suggesting that they measure somewhat different functions.\nIn our study, a higher correlation was found between STT (especially STT-B) and MoCA-BJ in SSI patients. Therefore, we established reference data for STT-A and STT-B in patients with SSI. The AUCs of the ROC curves in the BAD group were 0.821 and 0.824 for STT-A and STT-B, respectively, while the AUCs of the ROC curves in the CSVD-related SSI group were 0.701 and 0.729 for STT-A and STT-B, respectively. In addition, the sensitivity and specificity were acceptable.\nBoth BAD and CSVD-related SSI patients had low NIHSS scores (5 [2–7] vs. 2 [1–4], P = 0.001). Although the difference in NIHSS scores between the groups was statistically significant, the clinical manifestations of SSI patients were mainly pure motor or pure sensory deficits, and cognitive function was not generally affected by the disease itself. Patients with mild stroke present a new challenge for rehabilitation specialists because their primary deficits are more subtle than the typical stroke symptoms that are more overt.[32] Despite rehabilitation training, the greatest concern is the degree of physical dysfunction and not cognitive dysfunction. However, cognitive impairment after a mild stroke can severely impact an individual's ability to function in everyday life and perform meaningful occupations.[33–35] Early identification of post-stroke cognitive impairment may contribute to a favorable outcome; thus, clinical interventions in the acute phase may be beneficial for the quality of life of patients with mild ischemic stroke.\nThis study has several limitations. First, the sample size was small, limiting our statistical power; thus, large-scale studies are needed to verify our results. Second, we excluded patients with hearing disorders, communication disorders, color blindness, color weakness, and severe paralysis, which might have affected the accuracy of the executive tests. Third, we did not evaluate cerebral microbleed because some patients failed to complete the relevant MRI sequences; however, none of the patients had a history of cognitive dysfunction. Fourth, we lacked a control group for comparing the MoCA-BJ, STT, and SCWT between healthy people and patients with SSI. Fifth, we cannot fully explain why the cognitive impairment in BAD patients was more severe than that in CSVD-related SSI patients. Interpreting the cognitive impairment mechanisms underlying the two types of SSIs requires further research. Finally, follow-up of cognitive and functional outcomes is warranted to investigate the role of STT and SCWT in the prediction of long-term cognitive and functional outcomes after SSIs.\nIn conclusion, the results of our study indicated that BAD patients were more likely to perform worse than CSVD-related SSI patients in the domains of language, attention, executive function, and memory. In addition, the STT-B was most related to global cognition in patients with SSI, suggesting the sensitivity of this test in detecting executive dysfunction and global cognition impairment. Future research is needed to fully elucidate the cognitive impairment features after BAD, which may contribute to the prevention rather than the treatment of PSCI.", "This work was supported by grants from the 1·3·5 project for disciplines of excellence, Clinical Research Incubation Project, West China Hospital, Sichuan University (No. 2020HXFH012), and the National Natural Science Foundation of China (Nos. 82071320 and 81870937).", "None." ]
[ "intro", "methods", null, "subjects", null, null, null, "results", "discussion", null, "COI-statement" ]
[ "Brain", "Cognitive impairment", "Cerebral small vessel disease", "Subcortical infarction", "Stroke" ]
Introduction: Cognitive impairment is common after acute stroke.[1] While conceptually this is more likely to occur after large or strategically located areas of cerebral infarction, studies suggest that half of the survivors of first-ever lacunar infarction have cognitive deficits that are severe enough to impair daily activities.[2,3] Underlying cerebral small vessel disease (CSVD) is another pathophysiological explanation, in which domains of executive function, attention, memory, processing speed, and verbal fluency are prominent,[4] yet memory loss is the most commonly impaired cognitive domain after lacunar infarction.[5] While processing speed is one of the earliest and most prominent progressive cognitive impairments associated with CSVD, lesions of the frontal interhemispheric and thalamic projection fiber tracts that involve the frontal-subcortical neuronal circuits are also predictors of processing speed performance in age-related CSVD.[6] Thus, CSVD-related cognitive impairment is likely to depend on lesion location, particularly in the internal capsule, thalamus, caudate nuclei, anterior thalamic radiation, and forceps minor.[7] Through in vivo visualization of proximal culprit plaques in the penetrating arteries of the middle cerebral artery, we propose that branch atheromatous disease (BAD) is a distinct nosological entity of single subcortical infarction (SSI) that may guide management and prognosis.[8] The differences in cognitive performance between the two subtypes of SSIs can be used to distinguish their different etiological mechanisms. The present descriptive investigation compared cognitive performance between patients with BAD (atheromatous plaque of the parent artery at the orifice of the perforating artery) and CSVD-related SSI (lacunar infarction from intrinsic CSVD pathologically characterized by lipohyalinosis and fibrinoid degeneration). Based on the comparison of the differences in the cognitive function of SSI patients with different etiological mechanisms, the correlations between different cognitive function assessment scales in these patients were further analyzed. We also provided reference data for SSI patients using the Shape Trail Test A (STT-A) and STT-B to assess impairment in cognitive function. Methods: Ethical approval The study was approved by the Ethics Committee of West China Hospital (No. 2020 [324]), and the informed consent was obtained from all participants. The study was approved by the Ethics Committee of West China Hospital (No. 2020 [324]), and the informed consent was obtained from all participants. Patients We prospectively recruited consecutive patients (age, 18–80 years) admitted to West China Hospital between July 2017 and November 2020 with first ever acute ischemic stroke due to a SSI (basal ganglia, corona radiata, internal capsule, and thalamus) identified by diffusion-weighted imaging (DWI) performed within 14 days of symptom onset. Patients were excluded if they had a history of other neurological or psychiatric diseases or pre-existing cognitive dysfunction; hearing or communication disorder, color blindness, or severe paralysis that would impair performance on tests; evidence of prior stroke on brain imaging; coexistent ≥50% stenosis in any of the ipsilateral internal carotid, middle or anterior cerebral, vertebral, basilar, or posterior cerebral arteries on computed tomography angiography (CTA); multiple lesions on magnetic resonance imaging (MRI) DWI; nonatherosclerotic vasculopathy (eg, dissection, vasculitis, and moyamoya disease); and evidence of any potential source of cardioembolism (eg, atrial fibrillation, recent myocardial infarction, dilated cardiomyopathy, valvular heart disease, or infective endocarditis). Baseline characteristics including age, sex, years of education, dominant hemispheric infarction, lesion location (based on the strategic subcortical infarcts potentially affecting cognitive function in previous studies), cardiovascular risk factors (hypertension, diabetes mellitus, hyperlipidemia, coronary artery disease, current alcohol consumption, and smoking status), and time from symptom onset to admission were systematically recorded. The severity of neurological impairment was measured using the National Institutes of Health Stroke Scale (NIHSS) score. All patients underwent 24 h of electrocardiographic monitoring and/or Holter monitoring and transthoracic echocardiography to exclude those with cardioembolism. The Beijing version of the Montreal Cognitive Assessment (MoCA-BJ), Trail Making Test (TMT), and Stroop Color and Word Test (SCWT) were administered during hospitalization within 14 days after symptom onset. The patients were divided into two groups according to lesion size on DWI: BAD was defined as a SSI lesion (diameter ≥15 mm) in ≥3 consecutive axial slices; CSVD-related SSI was defined as a SSI lesion (diameter <15 mm) in less than three axial slices.[9] We prospectively recruited consecutive patients (age, 18–80 years) admitted to West China Hospital between July 2017 and November 2020 with first ever acute ischemic stroke due to a SSI (basal ganglia, corona radiata, internal capsule, and thalamus) identified by diffusion-weighted imaging (DWI) performed within 14 days of symptom onset. Patients were excluded if they had a history of other neurological or psychiatric diseases or pre-existing cognitive dysfunction; hearing or communication disorder, color blindness, or severe paralysis that would impair performance on tests; evidence of prior stroke on brain imaging; coexistent ≥50% stenosis in any of the ipsilateral internal carotid, middle or anterior cerebral, vertebral, basilar, or posterior cerebral arteries on computed tomography angiography (CTA); multiple lesions on magnetic resonance imaging (MRI) DWI; nonatherosclerotic vasculopathy (eg, dissection, vasculitis, and moyamoya disease); and evidence of any potential source of cardioembolism (eg, atrial fibrillation, recent myocardial infarction, dilated cardiomyopathy, valvular heart disease, or infective endocarditis). Baseline characteristics including age, sex, years of education, dominant hemispheric infarction, lesion location (based on the strategic subcortical infarcts potentially affecting cognitive function in previous studies), cardiovascular risk factors (hypertension, diabetes mellitus, hyperlipidemia, coronary artery disease, current alcohol consumption, and smoking status), and time from symptom onset to admission were systematically recorded. The severity of neurological impairment was measured using the National Institutes of Health Stroke Scale (NIHSS) score. All patients underwent 24 h of electrocardiographic monitoring and/or Holter monitoring and transthoracic echocardiography to exclude those with cardioembolism. The Beijing version of the Montreal Cognitive Assessment (MoCA-BJ), Trail Making Test (TMT), and Stroop Color and Word Test (SCWT) were administered during hospitalization within 14 days after symptom onset. The patients were divided into two groups according to lesion size on DWI: BAD was defined as a SSI lesion (diameter ≥15 mm) in ≥3 consecutive axial slices; CSVD-related SSI was defined as a SSI lesion (diameter <15 mm) in less than three axial slices.[9] CSVD MRI markers Lacunes were defined as round or ovoid lesions (>3 mm and <20 mm diameter) occurring in the basal ganglia, internal capsule, centrum semiovale, or brainstem, with cerebrospinal fluid signal intensity on T2 and fluid-attenuated inversion recovery (FLAIR), generally with a hyperintense rim on FLAIR and no increased signal on DWI,[10] and defined as single or multiple.[11] Enlarged perivascular spaces (EPVSs) were defined as small (<3 mm) punctate (if perpendicular) and linear (if longitudinal to the plane of scan) hyperintensities on T2 images in the basal ganglia or centrum semiovale. According to a validated semiquantitative scale of 0 to 4,[12] EPVSs in the basal ganglia were categorized as moderate to severe (grades 2–4).[11] Deep and periventricular white matter hyperintensities (WMH) were coded from 0 to 3 on the Fazekas scale[13] and categorized as either (early) confluent deep (score 2 or 3) or irregular periventricular extending into the deep white matter (score 3).[11] Two experienced neurologists blinded to patient data manually assessed the number of lacunes, EPVS, and WMH severity, with 10 patients randomly selected for assessment of the reproducibility of measurements. Any discrepancies between the two observers were resolved by consensus. Lacunes were defined as round or ovoid lesions (>3 mm and <20 mm diameter) occurring in the basal ganglia, internal capsule, centrum semiovale, or brainstem, with cerebrospinal fluid signal intensity on T2 and fluid-attenuated inversion recovery (FLAIR), generally with a hyperintense rim on FLAIR and no increased signal on DWI,[10] and defined as single or multiple.[11] Enlarged perivascular spaces (EPVSs) were defined as small (<3 mm) punctate (if perpendicular) and linear (if longitudinal to the plane of scan) hyperintensities on T2 images in the basal ganglia or centrum semiovale. According to a validated semiquantitative scale of 0 to 4,[12] EPVSs in the basal ganglia were categorized as moderate to severe (grades 2–4).[11] Deep and periventricular white matter hyperintensities (WMH) were coded from 0 to 3 on the Fazekas scale[13] and categorized as either (early) confluent deep (score 2 or 3) or irregular periventricular extending into the deep white matter (score 3).[11] Two experienced neurologists blinded to patient data manually assessed the number of lacunes, EPVS, and WMH severity, with 10 patients randomly selected for assessment of the reproducibility of measurements. Any discrepancies between the two observers were resolved by consensus. Cognitive assessments The MoCA-BJ was used to assess cognition, as it is a widely accepted, popular, and brief standardized measure of cognition for use after stroke,[14] with a cut-off score of 26 showing excellent sensitivity (90.4%) and fair specificity (31.3%) for mild cognitive impairment (MCI).[15] The TMT is another sensitive and popular test used to identify MCI and dementia, with the variant STT for Chinese consisting of two parts[16]: Part A, in which the participant is asked to connect 25 pre-instructed digits, and Part B, in which the participant is required to alternately connect 25 pre-instructed digits, each appearing twice in both a circle and a square. In practice, derived scores usually remove the speed (in seconds) component from performance to provide a more refined measure of executive control.[17] However, Zhao et al[16] developed an index measure, “STT-B-1 min,” defined as the number of correct responses within the first minute, to improve efficiency and performance. Receiver operating characteristic curve (ROC) analysis indicated area under the curve (AUC) values ranging from 0.816 to 0.913 for the STT-A and STT-B, with acceptable sensitivity and specificity. The SCWT is widely used to evaluate basic human executive functions, particularly attention and informational processes.[18] It consists of neutral or incongruent colored words presented to participants who are asked to connect the correct name of a given color (card A, black wording) with the color (card B). Card C features the names of colors but with competing color names (eg, the word “green” written in red). Scores are derived from the difference in completion times (Stroop interference effects [SIE] time consuming) and correct numbers (SIE right numbers) between cards C and B, in which the larger the SIE, the lower the interference suppression efficiency.[19] The MoCA-BJ was used to assess cognition, as it is a widely accepted, popular, and brief standardized measure of cognition for use after stroke,[14] with a cut-off score of 26 showing excellent sensitivity (90.4%) and fair specificity (31.3%) for mild cognitive impairment (MCI).[15] The TMT is another sensitive and popular test used to identify MCI and dementia, with the variant STT for Chinese consisting of two parts[16]: Part A, in which the participant is asked to connect 25 pre-instructed digits, and Part B, in which the participant is required to alternately connect 25 pre-instructed digits, each appearing twice in both a circle and a square. In practice, derived scores usually remove the speed (in seconds) component from performance to provide a more refined measure of executive control.[17] However, Zhao et al[16] developed an index measure, “STT-B-1 min,” defined as the number of correct responses within the first minute, to improve efficiency and performance. Receiver operating characteristic curve (ROC) analysis indicated area under the curve (AUC) values ranging from 0.816 to 0.913 for the STT-A and STT-B, with acceptable sensitivity and specificity. The SCWT is widely used to evaluate basic human executive functions, particularly attention and informational processes.[18] It consists of neutral or incongruent colored words presented to participants who are asked to connect the correct name of a given color (card A, black wording) with the color (card B). Card C features the names of colors but with competing color names (eg, the word “green” written in red). Scores are derived from the difference in completion times (Stroop interference effects [SIE] time consuming) and correct numbers (SIE right numbers) between cards C and B, in which the larger the SIE, the lower the interference suppression efficiency.[19] Statistical analysis One-sample Shapiro-Wilk tests were used to assess data normality. Continuous variables with normal distribution were expressed as means ± standard deviation, while those with skewed distributions were expressed as medians (interquartile range). Significance testing was performed using an independent t test and Mann-Whitney U test as appropriate. Categorical variables were shown as numbers and percentages (%) and compared using chi-squared and Fisher's exact tests. A generalized linear model was used to examine the association between SSI patients with different etiological mechanisms and their cognitive function after adjusting for age, years of education, NIHSS, and lesion location. The correlations between MoCA-BJ, STT, and SCWT were analyzed using Spearman's correlation analysis. ROC analysis was used to assess sensitivity, specificity, and cut-off scores, with the AUCs used as an overall index of performance. In ROC analysis, we used a MoCA-BJ score of <26 as the “gold standard” to classify patients with SSI as cognitively impaired or cognitively normal. All analyses were two sided, and statistical significance was set at P < 0.05. All analyses were performed using IBM SPSS Statistics for Windows, version 26.0 (IBM, Armonk, NY, USA). One-sample Shapiro-Wilk tests were used to assess data normality. Continuous variables with normal distribution were expressed as means ± standard deviation, while those with skewed distributions were expressed as medians (interquartile range). Significance testing was performed using an independent t test and Mann-Whitney U test as appropriate. Categorical variables were shown as numbers and percentages (%) and compared using chi-squared and Fisher's exact tests. A generalized linear model was used to examine the association between SSI patients with different etiological mechanisms and their cognitive function after adjusting for age, years of education, NIHSS, and lesion location. The correlations between MoCA-BJ, STT, and SCWT were analyzed using Spearman's correlation analysis. ROC analysis was used to assess sensitivity, specificity, and cut-off scores, with the AUCs used as an overall index of performance. In ROC analysis, we used a MoCA-BJ score of <26 as the “gold standard” to classify patients with SSI as cognitively impaired or cognitively normal. All analyses were two sided, and statistical significance was set at P < 0.05. All analyses were performed using IBM SPSS Statistics for Windows, version 26.0 (IBM, Armonk, NY, USA). Ethical approval: The study was approved by the Ethics Committee of West China Hospital (No. 2020 [324]), and the informed consent was obtained from all participants. Patients: We prospectively recruited consecutive patients (age, 18–80 years) admitted to West China Hospital between July 2017 and November 2020 with first ever acute ischemic stroke due to a SSI (basal ganglia, corona radiata, internal capsule, and thalamus) identified by diffusion-weighted imaging (DWI) performed within 14 days of symptom onset. Patients were excluded if they had a history of other neurological or psychiatric diseases or pre-existing cognitive dysfunction; hearing or communication disorder, color blindness, or severe paralysis that would impair performance on tests; evidence of prior stroke on brain imaging; coexistent ≥50% stenosis in any of the ipsilateral internal carotid, middle or anterior cerebral, vertebral, basilar, or posterior cerebral arteries on computed tomography angiography (CTA); multiple lesions on magnetic resonance imaging (MRI) DWI; nonatherosclerotic vasculopathy (eg, dissection, vasculitis, and moyamoya disease); and evidence of any potential source of cardioembolism (eg, atrial fibrillation, recent myocardial infarction, dilated cardiomyopathy, valvular heart disease, or infective endocarditis). Baseline characteristics including age, sex, years of education, dominant hemispheric infarction, lesion location (based on the strategic subcortical infarcts potentially affecting cognitive function in previous studies), cardiovascular risk factors (hypertension, diabetes mellitus, hyperlipidemia, coronary artery disease, current alcohol consumption, and smoking status), and time from symptom onset to admission were systematically recorded. The severity of neurological impairment was measured using the National Institutes of Health Stroke Scale (NIHSS) score. All patients underwent 24 h of electrocardiographic monitoring and/or Holter monitoring and transthoracic echocardiography to exclude those with cardioembolism. The Beijing version of the Montreal Cognitive Assessment (MoCA-BJ), Trail Making Test (TMT), and Stroop Color and Word Test (SCWT) were administered during hospitalization within 14 days after symptom onset. The patients were divided into two groups according to lesion size on DWI: BAD was defined as a SSI lesion (diameter ≥15 mm) in ≥3 consecutive axial slices; CSVD-related SSI was defined as a SSI lesion (diameter <15 mm) in less than three axial slices.[9] CSVD MRI markers: Lacunes were defined as round or ovoid lesions (>3 mm and <20 mm diameter) occurring in the basal ganglia, internal capsule, centrum semiovale, or brainstem, with cerebrospinal fluid signal intensity on T2 and fluid-attenuated inversion recovery (FLAIR), generally with a hyperintense rim on FLAIR and no increased signal on DWI,[10] and defined as single or multiple.[11] Enlarged perivascular spaces (EPVSs) were defined as small (<3 mm) punctate (if perpendicular) and linear (if longitudinal to the plane of scan) hyperintensities on T2 images in the basal ganglia or centrum semiovale. According to a validated semiquantitative scale of 0 to 4,[12] EPVSs in the basal ganglia were categorized as moderate to severe (grades 2–4).[11] Deep and periventricular white matter hyperintensities (WMH) were coded from 0 to 3 on the Fazekas scale[13] and categorized as either (early) confluent deep (score 2 or 3) or irregular periventricular extending into the deep white matter (score 3).[11] Two experienced neurologists blinded to patient data manually assessed the number of lacunes, EPVS, and WMH severity, with 10 patients randomly selected for assessment of the reproducibility of measurements. Any discrepancies between the two observers were resolved by consensus. Cognitive assessments: The MoCA-BJ was used to assess cognition, as it is a widely accepted, popular, and brief standardized measure of cognition for use after stroke,[14] with a cut-off score of 26 showing excellent sensitivity (90.4%) and fair specificity (31.3%) for mild cognitive impairment (MCI).[15] The TMT is another sensitive and popular test used to identify MCI and dementia, with the variant STT for Chinese consisting of two parts[16]: Part A, in which the participant is asked to connect 25 pre-instructed digits, and Part B, in which the participant is required to alternately connect 25 pre-instructed digits, each appearing twice in both a circle and a square. In practice, derived scores usually remove the speed (in seconds) component from performance to provide a more refined measure of executive control.[17] However, Zhao et al[16] developed an index measure, “STT-B-1 min,” defined as the number of correct responses within the first minute, to improve efficiency and performance. Receiver operating characteristic curve (ROC) analysis indicated area under the curve (AUC) values ranging from 0.816 to 0.913 for the STT-A and STT-B, with acceptable sensitivity and specificity. The SCWT is widely used to evaluate basic human executive functions, particularly attention and informational processes.[18] It consists of neutral or incongruent colored words presented to participants who are asked to connect the correct name of a given color (card A, black wording) with the color (card B). Card C features the names of colors but with competing color names (eg, the word “green” written in red). Scores are derived from the difference in completion times (Stroop interference effects [SIE] time consuming) and correct numbers (SIE right numbers) between cards C and B, in which the larger the SIE, the lower the interference suppression efficiency.[19] Statistical analysis: One-sample Shapiro-Wilk tests were used to assess data normality. Continuous variables with normal distribution were expressed as means ± standard deviation, while those with skewed distributions were expressed as medians (interquartile range). Significance testing was performed using an independent t test and Mann-Whitney U test as appropriate. Categorical variables were shown as numbers and percentages (%) and compared using chi-squared and Fisher's exact tests. A generalized linear model was used to examine the association between SSI patients with different etiological mechanisms and their cognitive function after adjusting for age, years of education, NIHSS, and lesion location. The correlations between MoCA-BJ, STT, and SCWT were analyzed using Spearman's correlation analysis. ROC analysis was used to assess sensitivity, specificity, and cut-off scores, with the AUCs used as an overall index of performance. In ROC analysis, we used a MoCA-BJ score of <26 as the “gold standard” to classify patients with SSI as cognitively impaired or cognitively normal. All analyses were two sided, and statistical significance was set at P < 0.05. All analyses were performed using IBM SPSS Statistics for Windows, version 26.0 (IBM, Armonk, NY, USA). Results: This study enrolled a total of 106 patients, including 49 and 57 patients with BAD and CSVD-related SSI, respectively. CSVD-related SSI patients were more likely to have hypertension and were current smokers, while BAD patients were more likely to have hyperlipidemia and higher baseline NIHSS scores [Table 1]. Table 2 shows the differences in MoCA-BJ, STT, and SCWT tests, with significant differences observed in the STT-A (83 [60.5–120.0] vs. 68 [49.0–86.5]; P = 0.01), STT-B (204 [151.5–294.5] vs. 153 [126.5–212.5]; P = 0.015), and number of correct answers on the Stroop-C (46 [41–49] vs. 49 [45–50]; P = 0.035) between the BAD and CSVD-related SSI groups. Borderline significant differences were observed in the orientation of MoCA-BJ (P = 0.08), STT-B-1 min (P = 0.056), and SIE right numbers (P = 0.094). Baseline characteristics in the BAD and CSVD-related SSI groups. Statistically significant. Data are presented as mean ± standard deviation, n (%) or median (interquartile range). BAD: Branch atheromatous disease; CSVD: Cerebral small vessel disease; EPVS: Enlarged perivascular spaces (defined as moderate to severe EPVS in the basal ganglia); NIHSS: National Institutes of Health Stroke Scale; SSI: Single subcortical infarction; WMH: White matter hyperintensity (defined as deep white matter hyperintensity [DWMH] [Fazekas score 2 or 3] or periventricular white matter hyperintensity [PWMH] [Fazekas score 3]). Baseline differences in cognitive measures between BAD and CSVD-related SSI groups. Statistically significant. Data are presented as n (%) or median (interquartile range). BAD: Branch atheromatous disease; CSVD: Cerebral small vessel disease; MoCA-BJ: Beijing version of the Montreal Cognitive Assessment; STT: Shape Trail Test; STT-A: Shape Trail Test A; SCWT: Stroop Color and Word Test; SSI: Single subcortical infarction; SIE: Stroop interference effects. After adjusting for age, years of education, NIHSS score, and lesion location, the performance of BAD patients on STT-A and STT-B remained worse than that of CSVD-related SSI patients (STT-A: β coefficient, −16.168, 95% confidence interval [CI], −29.363 to −2.972, P = 0.016; STT-B: β coefficient, −23.347, 95% CI, −43.841 to −2.853, P = 0.026) [Table 3]. A generalized linear model for analyzing the association between different etiological mechanisms and cognitive function in patients with SSI. Statistically significant. BAD: Branch atheromatous disease; CSVD: Cerebral small vessel disease; CI: Confidence interval; NIHSS: National Institutes of Health Stroke Scale; Ref: Reference; STT: Shape Trail Test; STT-A: Shape Trail Test A; SSI: Single subcortical infarction. The results of correlation analysis showed significant correlations between MoCA-BJ and STT and SCWT but not STT B/A (r = −0.033, P = 0.736); between STT-A and SCWT but not Stroop-A (correct) (r = −0.053, P = 0.593); between STT-B and SCWT but not STT B/A (r = −0.022, P = 0.823) or Stroop-A (correct) (r = −0.183, P = 0.061); and between Stroop-C (correct) and STT but not STT B/A (r = −0.010, P = 0.915). High correlations were observed for MoCA-BJ and STT-B (r = −0.640, P < 0.001) [Table 4]. Correlation data for the MoCA-BJ, STT, and SCWT in patients with SSI (n = 106). Significant correlation, P < 0.01. Significant correlation, P < 0.05. MoCA-BJ: Beijing version of the Montreal Cognitive Assessment; STT: Shape Trail Test; STT-A: Shape Trail Test A; SCWT: Stroop Color and Word Test; SSI: Single subcortical infarction. Table 5 shows the optimum performance for STT-A and STT-B in identifying cognitive impairment in patients with SSI. In BAD patients, cut-off scores of 62 s and 156 s were the best for the STT-A and STT-B, respectively. For CSVD-related SSI patients, cut-off scores of 68.5 s and 151 s were ideal for STT-A and STT-B, respectively. ROC analysis of the STT-A and STT-B for the identification of cognitive impairment in patients with SSI. Statistically significant. AUC: Area under the curve; BAD: Branch atheromatous disease; CSVD: Cerebral small vessel disease; CI: Confidence interval; ROC: Receiver operating characteristic curve; STT: Shape Trail Test; STT-A: Shape Trail Test A; SSI: Single subcortical infarction. Discussion: The results of our study showed that cognitive performance after BAD was significantly worse than that after CSVD-related SSI. We found significant differences in STT-A and STT-B between the groups but not the MoCA-BJ between the groups, which likely reflects its insensitivity to higher levels of cognitive function. These data provide insights into the mechanisms of cognitive impairment after SSI. The STT is based on the TMT, which was developed for people who speak Chinese as their first language. The test assesses both “rapid visual search” and “visuospatial sequencing” factors, as well as the ability of “set shifting.” A previous study demonstrated that the STT-A reflected language and attention, while the STT-B more reflected executive function and memory.[16] Hence, BAD patients are more likely to perform worse than CSVD-related SSI patients in terms of language, attention, executive function, and memory. Screening tests for dementia are insensitive to the detection of mild cognitive dysfunction. The SCWT assesses the ability to inhibit cognitive interference, which occurs when the processing of a stimulus feature affects the simultaneous processing of another attribute of the same stimulus.[20] Kramer reported slower information processing in patients with subcortical ischemic vascular disease.[21] The SCWT can be used to evaluate the behavior control functions using the conflict between perception and speech.[22] Poor performances on difficult tasks such as the Stroop-B and Stroop-C are more likely to reflect genuine impairment.[23] When exploring the different cognitive status between patients with BAD and CSVD-related SSI at baseline, only Stroop-C (correct) demonstrated a statistically significant difference, indicating that the correct numbers are more sensitive than the time in this test. Nevertheless, the behavior in the incongruous condition (eg, Stroop-C) may be affected by difficulties that are not directly related to an impaired ability to suppress the interference process, which may lead to misinterpretation of the patient's performance.[24] Consequently, when assessing inhibition capability, the performance in the incongruous condition should be related to word reading and color naming abilities.[24] Most clinicians have difficulty in distinguishing between BAD and CSVD-related SSI. We previously found that the number of axial lesion slices (≥3), although with marginal significance, provided a better appreciation of the discrepancy of infarct compared to axial lesion diameter for predicting the mechanism of recent subcortical infarction. High-resolution MRI showed that patients with plaques presented larger infarction lesions and more proximal lesions compared to those patients without plaque, which was consistent with the imaging features of BAD.[25] The present study defined BAD as having a larger infarct diameter and more infarct layers compared to CSVD-related SSI as the infarct volume of BAD is theoretically larger. Therefore, BAD may involve more strategic regions than CSVD-related SSI, resulting in more serious cognitive impairment. While the NIHSS score is an established predictor of functional outcomes after stroke,[26] it lacks a cognitive component,[27] and its relationship with cognitive outcomes is controversial.[28,29] Yamamoto reported a higher initial NIHSS score in patients with BAD than that in patients with lipohyalinotic degeneration.[30] Fure et al[2] found that a neurologic deficit according to NIHSS was related to common cognitive variables in a bivariate analysis but not in the multivariate model, partly due to the relatively low NIHSS scores in patients with lacunar stroke. In our study, the NIHSS score at admission was also higher in the BAD group than that in the CSVD-related SSI group, which may partly explain the worse cognitive status of BAD patients. However, we observed no significant differences in CSVD MRI markers between the two groups. In other words, the burden of CSVD in patients with BAD remained substantial. We performed correlation analyses to study the relationships between the MoCA-BJ, STT, and SCWT. The MoCA-BJ was significantly correlated with the STT and SCWT, except for STT B/A. The high correlations between STT and global cognition were consistent with those reported by a Chinese study.[31] Our data showed that STT-B was most related to global cognition in patients with SSI [Table 4]. The results of our analysis also revealed that STT-A and STT-B correlated well (r = 0.863). However, the Stroop-C (correct) correlated only moderately with the STT-A (r = −0.524) and STT-B (r = −0.586), suggesting that they measure somewhat different functions. In our study, a higher correlation was found between STT (especially STT-B) and MoCA-BJ in SSI patients. Therefore, we established reference data for STT-A and STT-B in patients with SSI. The AUCs of the ROC curves in the BAD group were 0.821 and 0.824 for STT-A and STT-B, respectively, while the AUCs of the ROC curves in the CSVD-related SSI group were 0.701 and 0.729 for STT-A and STT-B, respectively. In addition, the sensitivity and specificity were acceptable. Both BAD and CSVD-related SSI patients had low NIHSS scores (5 [2–7] vs. 2 [1–4], P = 0.001). Although the difference in NIHSS scores between the groups was statistically significant, the clinical manifestations of SSI patients were mainly pure motor or pure sensory deficits, and cognitive function was not generally affected by the disease itself. Patients with mild stroke present a new challenge for rehabilitation specialists because their primary deficits are more subtle than the typical stroke symptoms that are more overt.[32] Despite rehabilitation training, the greatest concern is the degree of physical dysfunction and not cognitive dysfunction. However, cognitive impairment after a mild stroke can severely impact an individual's ability to function in everyday life and perform meaningful occupations.[33–35] Early identification of post-stroke cognitive impairment may contribute to a favorable outcome; thus, clinical interventions in the acute phase may be beneficial for the quality of life of patients with mild ischemic stroke. This study has several limitations. First, the sample size was small, limiting our statistical power; thus, large-scale studies are needed to verify our results. Second, we excluded patients with hearing disorders, communication disorders, color blindness, color weakness, and severe paralysis, which might have affected the accuracy of the executive tests. Third, we did not evaluate cerebral microbleed because some patients failed to complete the relevant MRI sequences; however, none of the patients had a history of cognitive dysfunction. Fourth, we lacked a control group for comparing the MoCA-BJ, STT, and SCWT between healthy people and patients with SSI. Fifth, we cannot fully explain why the cognitive impairment in BAD patients was more severe than that in CSVD-related SSI patients. Interpreting the cognitive impairment mechanisms underlying the two types of SSIs requires further research. Finally, follow-up of cognitive and functional outcomes is warranted to investigate the role of STT and SCWT in the prediction of long-term cognitive and functional outcomes after SSIs. In conclusion, the results of our study indicated that BAD patients were more likely to perform worse than CSVD-related SSI patients in the domains of language, attention, executive function, and memory. In addition, the STT-B was most related to global cognition in patients with SSI, suggesting the sensitivity of this test in detecting executive dysfunction and global cognition impairment. Future research is needed to fully elucidate the cognitive impairment features after BAD, which may contribute to the prevention rather than the treatment of PSCI. Funding: This work was supported by grants from the 1·3·5 project for disciplines of excellence, Clinical Research Incubation Project, West China Hospital, Sichuan University (No. 2020HXFH012), and the National Natural Science Foundation of China (Nos. 82071320 and 81870937). Conflicts of interest: None.
Background: Single subcortical infarction (SSI) is caused by two main etiological subtypes, which are branch atheromatous disease (BAD) and cerebral small vessel disease (CSVD)-related SSI. We applied the Beijing version of the Montreal Cognitive Assessment (MoCA-BJ), the Shape Trail Test (STT), and the Stroop Color and Word Test (SCWT) to investigate the differences in cognitive performance between these two subtypes of SSI. Methods: Patients with acute SSIs were prospectively enrolled. The differences of MoCA-BJ, STT, and SCWT between the BAD group and CSVD-related SSI group were analyzed. A generalized linear model was used to analyze the associations between SSI patients with different etiological mechanisms and cognitive function. We investigated the correlations between MoCA-BJ, STT, and SCWT using Spearman's correlation analysis and established cut-off scores for Shape Trail Test A (STT-A) and STT-B to identify cognitive impairment in patients with SSI. Results: This study enrolled a total of 106 patients, including 49 and 57 patients with BAD and CSVD-related SSI, respectively. The BAD group performances were worse than those of the CSVD-related SSI group for STT-A (83 [60.5-120.0] vs. 68 [49.0-86.5], P = 0.01), STT-B (204 [151.5-294.5] vs. 153 [126.5-212.5], P = 0.015), and the number of correct answers on Stroop-C (46 [41-49] vs. 49 [45-50], P = 0.035). After adjusting for age, years of education, National Institutes of Health Stroke Scale and lesion location, the performance of SSI patients with different etiological mechanisms still differed significantly for STT-A and STT-B. Conclusions: BAD patients were more likely to perform worse than CSVD-related SSI patients in the domains of language, attention, executive function, and memory. The mechanism of cognitive impairment after BAD remains unclear.
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[ 31, 231, 363, 239, 48 ]
11
[ "stt", "patients", "ssi", "cognitive", "csvd", "bad", "test", "related", "moca bj", "moca" ]
[ "cognition use stroke", "prior stroke brain", "cerebral infarction studies", "infarction cognitive deficits", "lacunar infarction cognitive" ]
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[CONTENT] Brain | Cognitive impairment | Cerebral small vessel disease | Subcortical infarction | Stroke [SUMMARY]
[CONTENT] Brain | Cognitive impairment | Cerebral small vessel disease | Subcortical infarction | Stroke [SUMMARY]
[CONTENT] Brain | Cognitive impairment | Cerebral small vessel disease | Subcortical infarction | Stroke [SUMMARY]
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[CONTENT] Brain | Cognitive impairment | Cerebral small vessel disease | Subcortical infarction | Stroke [SUMMARY]
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[CONTENT] Cerebral Infarction | Cerebral Small Vessel Diseases | Cognitive Dysfunction | Executive Function | Humans | Mental Status and Dementia Tests [SUMMARY]
[CONTENT] Cerebral Infarction | Cerebral Small Vessel Diseases | Cognitive Dysfunction | Executive Function | Humans | Mental Status and Dementia Tests [SUMMARY]
[CONTENT] Cerebral Infarction | Cerebral Small Vessel Diseases | Cognitive Dysfunction | Executive Function | Humans | Mental Status and Dementia Tests [SUMMARY]
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[CONTENT] Cerebral Infarction | Cerebral Small Vessel Diseases | Cognitive Dysfunction | Executive Function | Humans | Mental Status and Dementia Tests [SUMMARY]
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[CONTENT] cognition use stroke | prior stroke brain | cerebral infarction studies | infarction cognitive deficits | lacunar infarction cognitive [SUMMARY]
[CONTENT] cognition use stroke | prior stroke brain | cerebral infarction studies | infarction cognitive deficits | lacunar infarction cognitive [SUMMARY]
[CONTENT] cognition use stroke | prior stroke brain | cerebral infarction studies | infarction cognitive deficits | lacunar infarction cognitive [SUMMARY]
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[CONTENT] cognition use stroke | prior stroke brain | cerebral infarction studies | infarction cognitive deficits | lacunar infarction cognitive [SUMMARY]
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[CONTENT] stt | patients | ssi | cognitive | csvd | bad | test | related | moca bj | moca [SUMMARY]
[CONTENT] stt | patients | ssi | cognitive | csvd | bad | test | related | moca bj | moca [SUMMARY]
[CONTENT] stt | patients | ssi | cognitive | csvd | bad | test | related | moca bj | moca [SUMMARY]
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[CONTENT] stt | patients | ssi | cognitive | csvd | bad | test | related | moca bj | moca [SUMMARY]
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[CONTENT] cognitive | csvd | infarction | processing speed | lacunar infarction | processing | lacunar | speed | artery | function [SUMMARY]
[CONTENT] patients | mm | ssi | defined | color | dwi | cognitive | stt | lesion | analysis [SUMMARY]
[CONTENT] stt | ssi | stt shape trail test | stt shape trail | stt shape | significant | trail test | shape trail | shape trail test | shape [SUMMARY]
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[CONTENT] stt | patients | ssi | cognitive | csvd | bad | related | china | test | bj [SUMMARY]
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[CONTENT] two ||| Beijing | the Montreal Cognitive Assessment | the Shape Trail Test | the Stroop Color | two [SUMMARY]
[CONTENT] ||| MoCA-BJ | STT | BAD ||| linear ||| STT | Spearman | Shape Trail Test A [SUMMARY]
[CONTENT] 106 | 49 | 57 | BAD ||| BAD | 83 | 60.5 | 68 ||| 49.0 | 0.01 | 204 | 151.5 | 153 ||| 126.5 | 0.015 | Stroop-C | 46 | 41 | 49 ||| 45-50 | 0.035 ||| age, years | National Institutes of Health Stroke Scale [SUMMARY]
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[CONTENT] two ||| Beijing | the Montreal Cognitive Assessment | the Shape Trail Test | the Stroop Color | two ||| ||| MoCA-BJ | STT | BAD ||| linear ||| STT | Spearman | Shape Trail Test A ||| ||| 106 | 49 | 57 | BAD ||| BAD | 83 | 60.5 | 68 ||| 49.0 | 0.01 | 204 | 151.5 | 153 ||| 126.5 | 0.015 | Stroop-C | 46 | 41 | 49 ||| 45-50 | 0.035 ||| age, years | National Institutes of Health Stroke Scale ||| BAD [SUMMARY]
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Cytosolic phospholipase A2 (cPLA2) IVA as a potential signature molecule in cigarette smoke condensate induced pathologies in alveolar epithelial lineages.
27528014
Smoking is one of the leading causes of millions of deaths worldwide. During cigarette smoking, most affected and highly exposed cells are the alveolar epithelium and generated oxidative stress in these cells leads to death and damage. Several studies suggested that oxidative stress causes membrane remodeling via Phospholipase A2s but in the case of cigarette smokers, mechanistically study is not yet fully defined. In view of present perspective, we evaluated the involvement of cytosolic phospholipase A2 (cPLA2) IVA as therapeutic target in cigarette smoke induced pathologies in transformed type I and type II alveolar epithelial cells.
BACKGROUND
Transformed type I (WI26) and type II (A549) alveolar epithelial cells were used for the present study. Cigarette smoke condensate (CSC) was prepared from most commonly used cigarette (Gold Flake with filter) by the Indian population. CSC-induced molecular changes were evaluated through cell viability using MTT assay, reactive oxygen species (ROS) measurement using 2,7 dichlorodihydrofluorescin diacetate (DCFH-DA), cell membrane integrity using fluorescein diacetate (FDA) and ethidium bromide (EtBr) staining, super oxide dismutase (SOD) levels, cPLA2 activity and molecular involvement of specific cPLA2s at selected 24 h time period.
METHODS
CSC-induced response on both type of epithelial cells shown significantly reduction in cell viability, declined membrane integrity, with differential escalation of ROS levels in the range of 1.5-15 folds and pointedly increased cPLA2 activity (p < 0.05). Likewise, we observed distinction antioxidant potential in these two types of lineages as type I cells had considerably higher SOD levels when compared to type II cells (p < 0.05). Further molecular expression of all cPLA2s increased significantly in a dose dependent manner, specifically cytosolic phospholipase A2 IVA with maximum manifestation of 3.8 folds. Interestingly, CSC-induced ROS levels and cPLA2s expression were relatively higher in A549 cells as compared to WI26 cells.
RESULTS
The present study indicates that among all cPLA2s, specific cPLA2 IVA are the main enzymes involved in cigarette smoke induced anomalies in type I and type II lung epithelial cells and targeting them holds tremendous possibilities in cigarette smoke induced lung pathologies.
CONCLUSIONS
[ "A549 Cells", "Cell Line", "Cytosol", "Epithelial Cells", "Humans", "Lung Diseases", "Phospholipases A2", "Pulmonary Alveoli", "Reactive Oxygen Species", "Smoke", "Tobacco" ]
4986351
Background
Cigarette smoking is leading cause of deaths and projected to cause 8–10 million deaths per year worldwide [1]. It is associated with different types of lung cancer and approximately one third of all cancer death [1–3]. Currently more than 370 billion cigarettes are being consumed by smokers globally and it has been projected that more than 30 % of the people will be smokers by 2030 [2]. On the other hand it has been expected that rate of smoking will be reached 70 % in developing countries [1]. It has been documented that single puff of cigarette smoke contains 1017 oxidant molecules out of which 1015 are reactive oxygen species/ reactive nitrogen species. Moreover, these ROS/RNS are known to be one of the causative factors in various lung pathologies including cancer and chronic obstructive pulmonary disease (COPD) [4–6]. During cigarette smoking, the most affected and highly exposed cells are the alveolar epithelium which is lined by type-I (~90–95 %) and type-II (~5–10 %) epithelial cells. In addition, damage and death of epithelial cells induced by cigarette smoke exposure can mostly be accounted for by an increased in oxidant stress. Enhanced levels of free radicals/oxidants leads to oxidative stress and initation of repair processes whether started as part of an inflammatory response or as a response to injury is still not clear in cigarette smokers. In this context, one of the hallmark enzymes are Phospholipase A2s which are responsible for membranes remodeling [7–9] but in the case of cigarette smokers mechanistically study is not yet fully defined. PLA2s are lipolytic enzymes that catalyze the hydrolysis of acyl-groups at the sn-2 position of glycerophospholipids and produce free fatty acids and lyso-Phospholipids by an interfacial activation catalytic mechanism. To date, at least 26 genes that encode various types of PLA2 proteins with esterase’s activity have been identified in human and are assigned to five different groups. (i) Secretory PLA2s with molecular weight of 14 kDa, (ii) the 85 kDa cytosolic PLA2s, (iii) Ca2+ independent PLA2s (iv) Platelet-activating factor acetyl hydrolase and (v) lysosomal PLA2s. These PLA2s were differentiated on the basis of their sequence, molecular weight, disulfide bonding patterns, requirement for Ca2+ to their biochemical characteristics and localization [10–13]. It has been suggested that PLA2 isoforms are involved either in the promotion or in the resolution of inflammation depending upon cell type and generation of eicosanoid [14–16]. In this context cytosolic phospholipase A2s (cPLA2s) are the main enzymes mediating arachidonic acid release and pro-inflammatory eicosanoids production. Moreover these biomolecules are associated with chronic inflammation which is a recognized risk factor for carcinogenesis [17–19]. The overall aim of this study was to investigate the involvement of particular cPLA2 which could be proposed as future therapeutic target during cigarette smoke induced pathologies in alveolar epithelium and results are reported in present paper.
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Conclusion
In conclusion, it is worth mentioning; here the present study indicates involvement of specific cPLA2 IVA as a potential biomolecule candidate during cigarette smoke induced oxidative stress in type I and type II alveolar epithelial cells and strategies to target them may be key approach in cigarette smoke induced lung pathologies.
[ "Methods", "Materials", "Methods", "Cell culturing", "Cigarette smoke condensate preparation", "Cell viability assay", "Reactive oxygen species", "Cellular integrity by FDA uptake", "Superoxide dismutase activity", "PLA2 assay", "Reverse transcription-polymerase chain reaction (RT-PCR)", "Protein estimation", "Statistical analysis", "Results", "Effect of CSC on cell viability and reactive oxygen species in A549 and WI26 cells", "Cells morphology", "Effect of CSC on cellular integrity in A549 and WI26 cells", "SOD levels in type I and type II epithelial cells", "CSC enhanced cPLA2 activity", "CSC enhanced cPLA2s mRNA expression", "Discussion", "Conclusion" ]
[ " Materials WI26 (type-I) lung epithelial cell line was procured from American type culture collection (ATCC), Rockville, MD (USA), (ATCC® CCL-95.1™, https://www.atcc.org/Products/All/CCL-95.1.aspx). A549 (type-II) lung epithelial cell line was procured from National centre for cell science (NCCS), pune, India (http://www.nccs.res.in/CR5.html). PLA2-inhibitors bromoenol lactone (BEL), arachidonyl trifluroethyl ketone (ATK), bromophenacyl bromide (BPB), DCFH-DA, FDA and other general reagents were purchased from Sigma (St. Louis, MO, U.S.A.). PLA2-inhibitor YM26734 was purchased from Tocris bioscience, Bristol, UK.\nWI26 (type-I) lung epithelial cell line was procured from American type culture collection (ATCC), Rockville, MD (USA), (ATCC® CCL-95.1™, https://www.atcc.org/Products/All/CCL-95.1.aspx). A549 (type-II) lung epithelial cell line was procured from National centre for cell science (NCCS), pune, India (http://www.nccs.res.in/CR5.html). PLA2-inhibitors bromoenol lactone (BEL), arachidonyl trifluroethyl ketone (ATK), bromophenacyl bromide (BPB), DCFH-DA, FDA and other general reagents were purchased from Sigma (St. Louis, MO, U.S.A.). PLA2-inhibitor YM26734 was purchased from Tocris bioscience, Bristol, UK.\n Methods Cell culturing Human lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1).\nHuman lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1).\n Cell culturing Human lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1).\nHuman lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1).\n Cigarette smoke condensate preparation Cigarette smoke condensate was prepared in our own laboratory according to standardized method of Kaushik 2009 [20], from most commonly used cigarettes (Gold Flake with filter) by the Indian population [21]. In brief smoke from a burning cigarette was sucked into a flask containing acetone with the help of a vacuum pump. Three ways connecting glass joint was used for suction. The rate of airflow was regulated by a valve so that cigarette burns upto bud in approximately 6 min. Acetone was evaporated under vacuum/nitrogen gas and the residue i.e. CSC was used for the experiments. CSC was dissolved in DMSO, in such a way that the final concentration of DMSO in plates did not exceed 0.025 % in culture medium. Further, dilution of CSC stocks was done with sterile PBS.\nCigarette smoke condensate was prepared in our own laboratory according to standardized method of Kaushik 2009 [20], from most commonly used cigarettes (Gold Flake with filter) by the Indian population [21]. In brief smoke from a burning cigarette was sucked into a flask containing acetone with the help of a vacuum pump. Three ways connecting glass joint was used for suction. The rate of airflow was regulated by a valve so that cigarette burns upto bud in approximately 6 min. Acetone was evaporated under vacuum/nitrogen gas and the residue i.e. CSC was used for the experiments. CSC was dissolved in DMSO, in such a way that the final concentration of DMSO in plates did not exceed 0.025 % in culture medium. Further, dilution of CSC stocks was done with sterile PBS.\n Cell viability assay Effect of CSC on cell viability was evaluated by the 3-(4,5- dimethylthiazol-2-yl)-diphenyltetrazolium bromide (MTT) dye uptake method [22]. Briefly, 2 x 103cells were seeded in 96-well plates and allowed to grow overnight. After 24 h of priming, cells were treated with different concentrations of CSC for 24 h. Before treatment; medium was replaced with fresh medium. Four h before the end of desired time interval, 20 μl of MTT solution (2.5 mg/ml) was added to each well. After 4 h, resulting formazan crystals were dissolved in 40 μl of lysis buffer. The developed color was read at 540 nm on ELISA reader. The relative viability was calculated as described earlier.\nEffect of CSC on cell viability was evaluated by the 3-(4,5- dimethylthiazol-2-yl)-diphenyltetrazolium bromide (MTT) dye uptake method [22]. Briefly, 2 x 103cells were seeded in 96-well plates and allowed to grow overnight. After 24 h of priming, cells were treated with different concentrations of CSC for 24 h. Before treatment; medium was replaced with fresh medium. Four h before the end of desired time interval, 20 μl of MTT solution (2.5 mg/ml) was added to each well. After 4 h, resulting formazan crystals were dissolved in 40 μl of lysis buffer. The developed color was read at 540 nm on ELISA reader. The relative viability was calculated as described earlier.\n Reactive oxygen species Levels of intracellular ROS were measured by the shift in fluorescent intensity resulting from oxidation of DCFH-DA fluorescence dye by the method of Wan et al. [23]. In brief, cells (0.5 x 105 cells/well) were seeded into 12 well culture plates and allowed to grow overnight. Cells were challenged with CSC for 24 h. Before completion of treatment, cells were incubated with 5 μM DCFH-DA fluorescence dye for 30 min. After completion of treatment, cells were washed, harvested and re-suspended in ice-chilled PBS and analyzed by flow cytometery (FACScan) and shift in fluorescent peak was represented in terms of mean fluorescent intensity (MFI).\nLevels of intracellular ROS were measured by the shift in fluorescent intensity resulting from oxidation of DCFH-DA fluorescence dye by the method of Wan et al. [23]. In brief, cells (0.5 x 105 cells/well) were seeded into 12 well culture plates and allowed to grow overnight. Cells were challenged with CSC for 24 h. Before completion of treatment, cells were incubated with 5 μM DCFH-DA fluorescence dye for 30 min. After completion of treatment, cells were washed, harvested and re-suspended in ice-chilled PBS and analyzed by flow cytometery (FACScan) and shift in fluorescent peak was represented in terms of mean fluorescent intensity (MFI).\n Cellular integrity by FDA uptake Cellular injury was determined by the FDA and ethidium bromide staining method [24]. FDA is an indicator of membrane integrity and cytoplasmic esterase activity. So the cells with intact membranes fluoresce green and cells with damaged membranes fluoresce red. Cells after CSC treatment was incubated with 10 μM FDA and 25 μM of ethidium bromide and was visualized under fluorescent microscope.\nCellular injury was determined by the FDA and ethidium bromide staining method [24]. FDA is an indicator of membrane integrity and cytoplasmic esterase activity. So the cells with intact membranes fluoresce green and cells with damaged membranes fluoresce red. Cells after CSC treatment was incubated with 10 μM FDA and 25 μM of ethidium bromide and was visualized under fluorescent microscope.\n Superoxide dismutase activity Superoxide dismutase activity was estimated as described earlier [25]. In brief 2 x 106 cells were plated in 100 mm2 culture dishes and allowed to grow for 24 h. After 24 h of CSC treatment, cells were washed, harvested and centrifuged at 200 x g for 10 min at 40C. Cell pellet was washed with ice-chilled PBS and resuspended in PBS. Cells were lysed by the three freeze-thaw cycles followed by sonication (Sonicator Q700, Qsonica) for 5 min in ice-chilled water. After centrifugation at 800 x g for 10 min at 4 °C, the supernatant was assayed for SOD.\nSuperoxide dismutase activity was estimated as described earlier [25]. In brief 2 x 106 cells were plated in 100 mm2 culture dishes and allowed to grow for 24 h. After 24 h of CSC treatment, cells were washed, harvested and centrifuged at 200 x g for 10 min at 40C. Cell pellet was washed with ice-chilled PBS and resuspended in PBS. Cells were lysed by the three freeze-thaw cycles followed by sonication (Sonicator Q700, Qsonica) for 5 min in ice-chilled water. After centrifugation at 800 x g for 10 min at 4 °C, the supernatant was assayed for SOD.\n PLA2 assay The effect of CSC on the PLA2 activity was measured in the presence/absence of PLA2-inhibitors by the modified method of price [26]. In brief, samples were freshly diluted in 2 mM HEPES at pH 7.5 and 20 μl of each sample mixture, or buffer mixture as negative control was put in the well of a round bottom 96 well micro plate. 180 μL of an assay mixture at pH 7.5 at 37 °C was added to each sample. The plate was immediately read at 600 nm at one minute intervals for five minutes. Immediately after addition of substrate, the blue color of dye turns yellow with pH change due to PLA2 activity and absorbance decreases.\nThe effect of CSC on the PLA2 activity was measured in the presence/absence of PLA2-inhibitors by the modified method of price [26]. In brief, samples were freshly diluted in 2 mM HEPES at pH 7.5 and 20 μl of each sample mixture, or buffer mixture as negative control was put in the well of a round bottom 96 well micro plate. 180 μL of an assay mixture at pH 7.5 at 37 °C was added to each sample. The plate was immediately read at 600 nm at one minute intervals for five minutes. Immediately after addition of substrate, the blue color of dye turns yellow with pH change due to PLA2 activity and absorbance decreases.\n Reverse transcription-polymerase chain reaction (RT-PCR) After treatment total RNA from both type of epithelial cells was isolated using the method of Chomcznski et al [27]. Analysis of mRNA levels of cPLA2 groups IVA, IVB and IVC was done by RT-PCR. In PCR reactions (25 μl) 100 ng cDNA was used as template DNA. The primer sequences for the expression of all the genes were taken from previously published literature [28]. The primer sequences used for this study are given in (Additional file 1: Table S1).\nAfter treatment total RNA from both type of epithelial cells was isolated using the method of Chomcznski et al [27]. Analysis of mRNA levels of cPLA2 groups IVA, IVB and IVC was done by RT-PCR. In PCR reactions (25 μl) 100 ng cDNA was used as template DNA. The primer sequences for the expression of all the genes were taken from previously published literature [28]. The primer sequences used for this study are given in (Additional file 1: Table S1).\n Protein estimation Protein content of cell lysate was measured in all samples by Bradford method [29]. Bovine Serum Albumin (BSA) was used as a protein standard.\nProtein content of cell lysate was measured in all samples by Bradford method [29]. Bovine Serum Albumin (BSA) was used as a protein standard.\n Statistical analysis Values displayed in the results are mean ± standard deviation of at least three independent experiments carried out in triplicate. P < 0.05 was considered to be statically significant. One way analysis of variance (ANOVA) and t test were employed using SPSS software to govern statistical significance of the results.\nValues displayed in the results are mean ± standard deviation of at least three independent experiments carried out in triplicate. P < 0.05 was considered to be statically significant. One way analysis of variance (ANOVA) and t test were employed using SPSS software to govern statistical significance of the results.", "WI26 (type-I) lung epithelial cell line was procured from American type culture collection (ATCC), Rockville, MD (USA), (ATCC® CCL-95.1™, https://www.atcc.org/Products/All/CCL-95.1.aspx). A549 (type-II) lung epithelial cell line was procured from National centre for cell science (NCCS), pune, India (http://www.nccs.res.in/CR5.html). PLA2-inhibitors bromoenol lactone (BEL), arachidonyl trifluroethyl ketone (ATK), bromophenacyl bromide (BPB), DCFH-DA, FDA and other general reagents were purchased from Sigma (St. Louis, MO, U.S.A.). PLA2-inhibitor YM26734 was purchased from Tocris bioscience, Bristol, UK.", " Cell culturing Human lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1).\nHuman lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1).", "Human lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1).", "Cigarette smoke condensate was prepared in our own laboratory according to standardized method of Kaushik 2009 [20], from most commonly used cigarettes (Gold Flake with filter) by the Indian population [21]. In brief smoke from a burning cigarette was sucked into a flask containing acetone with the help of a vacuum pump. Three ways connecting glass joint was used for suction. The rate of airflow was regulated by a valve so that cigarette burns upto bud in approximately 6 min. Acetone was evaporated under vacuum/nitrogen gas and the residue i.e. CSC was used for the experiments. CSC was dissolved in DMSO, in such a way that the final concentration of DMSO in plates did not exceed 0.025 % in culture medium. Further, dilution of CSC stocks was done with sterile PBS.", "Effect of CSC on cell viability was evaluated by the 3-(4,5- dimethylthiazol-2-yl)-diphenyltetrazolium bromide (MTT) dye uptake method [22]. Briefly, 2 x 103cells were seeded in 96-well plates and allowed to grow overnight. After 24 h of priming, cells were treated with different concentrations of CSC for 24 h. Before treatment; medium was replaced with fresh medium. Four h before the end of desired time interval, 20 μl of MTT solution (2.5 mg/ml) was added to each well. After 4 h, resulting formazan crystals were dissolved in 40 μl of lysis buffer. The developed color was read at 540 nm on ELISA reader. The relative viability was calculated as described earlier.", "Levels of intracellular ROS were measured by the shift in fluorescent intensity resulting from oxidation of DCFH-DA fluorescence dye by the method of Wan et al. [23]. In brief, cells (0.5 x 105 cells/well) were seeded into 12 well culture plates and allowed to grow overnight. Cells were challenged with CSC for 24 h. Before completion of treatment, cells were incubated with 5 μM DCFH-DA fluorescence dye for 30 min. After completion of treatment, cells were washed, harvested and re-suspended in ice-chilled PBS and analyzed by flow cytometery (FACScan) and shift in fluorescent peak was represented in terms of mean fluorescent intensity (MFI).", "Cellular injury was determined by the FDA and ethidium bromide staining method [24]. FDA is an indicator of membrane integrity and cytoplasmic esterase activity. So the cells with intact membranes fluoresce green and cells with damaged membranes fluoresce red. Cells after CSC treatment was incubated with 10 μM FDA and 25 μM of ethidium bromide and was visualized under fluorescent microscope.", "Superoxide dismutase activity was estimated as described earlier [25]. In brief 2 x 106 cells were plated in 100 mm2 culture dishes and allowed to grow for 24 h. After 24 h of CSC treatment, cells were washed, harvested and centrifuged at 200 x g for 10 min at 40C. Cell pellet was washed with ice-chilled PBS and resuspended in PBS. Cells were lysed by the three freeze-thaw cycles followed by sonication (Sonicator Q700, Qsonica) for 5 min in ice-chilled water. After centrifugation at 800 x g for 10 min at 4 °C, the supernatant was assayed for SOD.", "The effect of CSC on the PLA2 activity was measured in the presence/absence of PLA2-inhibitors by the modified method of price [26]. In brief, samples were freshly diluted in 2 mM HEPES at pH 7.5 and 20 μl of each sample mixture, or buffer mixture as negative control was put in the well of a round bottom 96 well micro plate. 180 μL of an assay mixture at pH 7.5 at 37 °C was added to each sample. The plate was immediately read at 600 nm at one minute intervals for five minutes. Immediately after addition of substrate, the blue color of dye turns yellow with pH change due to PLA2 activity and absorbance decreases.", "After treatment total RNA from both type of epithelial cells was isolated using the method of Chomcznski et al [27]. Analysis of mRNA levels of cPLA2 groups IVA, IVB and IVC was done by RT-PCR. In PCR reactions (25 μl) 100 ng cDNA was used as template DNA. The primer sequences for the expression of all the genes were taken from previously published literature [28]. The primer sequences used for this study are given in (Additional file 1: Table S1).", "Protein content of cell lysate was measured in all samples by Bradford method [29]. Bovine Serum Albumin (BSA) was used as a protein standard.", "Values displayed in the results are mean ± standard deviation of at least three independent experiments carried out in triplicate. P < 0.05 was considered to be statically significant. One way analysis of variance (ANOVA) and t test were employed using SPSS software to govern statistical significance of the results.", " Effect of CSC on cell viability and reactive oxygen species in A549 and WI26 cells In A549 cells, it was found that cell survival decreased with increasing concentration of CSC from 1 μg/ml to 200 μg/ml and found to be 90.8 %, 84.2 %, 78.4 % and 76.4 % at 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively. Whereas in WI26 cells, no significant change was observed in survival rate up to 100 μg/ml concentration of CSC. Moreover, it was observed that at 150 μg/ml and 200 μg/ml concentrations of CSC, survival rate of WI26 cells decreased to 95.7 % and 62.2 % (p < 0.05) respectively (Fig. 1).Fig. 1Effect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#,\np < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml\nEffect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#,\np < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml\nEffects of CSC at various concentrations on ROS formation in the two cell lines are shown in Fig. 2. It was found that in A549 cells, even 1 μg CSC/ml increased the formation of ROS to 3 fold, which was further increased to 3.95 fold, 7.69 fold, 12.1 fold, 14.1 fold and 16.5 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively (Fig. 2a). In contrast to A549 cells, in WI26 cells CSC treatment increased the ROS formation to 1.21 fold, 1.58 fold, 2.26 fold, 2.73 fold and 3.56 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations (Fig. 2b).Fig. 2Effect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. *\np < 0.05. *CSC compared with their respective control\nEffect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. *\np < 0.05. *CSC compared with their respective control\nIn A549 cells, it was found that cell survival decreased with increasing concentration of CSC from 1 μg/ml to 200 μg/ml and found to be 90.8 %, 84.2 %, 78.4 % and 76.4 % at 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively. Whereas in WI26 cells, no significant change was observed in survival rate up to 100 μg/ml concentration of CSC. Moreover, it was observed that at 150 μg/ml and 200 μg/ml concentrations of CSC, survival rate of WI26 cells decreased to 95.7 % and 62.2 % (p < 0.05) respectively (Fig. 1).Fig. 1Effect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#,\np < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml\nEffect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#,\np < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml\nEffects of CSC at various concentrations on ROS formation in the two cell lines are shown in Fig. 2. It was found that in A549 cells, even 1 μg CSC/ml increased the formation of ROS to 3 fold, which was further increased to 3.95 fold, 7.69 fold, 12.1 fold, 14.1 fold and 16.5 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively (Fig. 2a). In contrast to A549 cells, in WI26 cells CSC treatment increased the ROS formation to 1.21 fold, 1.58 fold, 2.26 fold, 2.73 fold and 3.56 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations (Fig. 2b).Fig. 2Effect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. *\np < 0.05. *CSC compared with their respective control\nEffect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. *\np < 0.05. *CSC compared with their respective control\n Cells morphology Since the morphology of two types of cells used in the present study were highly affected (Additional file 1: Figure S2) at higher concentrations (150 μg/ml and 200 μg/ml), these concentrations were not used in the next part of the study. Among all other lower concentrations, 50 μg/ml and 100 μg/ml of CSC induced maximum ROS production with optimum cell viability and hence were preferred in most of the other experiments. Time period was selected on the basis of our previous studies and preliminary experiments at different time intervals using ROS measurement and cell survival assay. 24 h time was found to be optimum and was used for current study.\nSince the morphology of two types of cells used in the present study were highly affected (Additional file 1: Figure S2) at higher concentrations (150 μg/ml and 200 μg/ml), these concentrations were not used in the next part of the study. Among all other lower concentrations, 50 μg/ml and 100 μg/ml of CSC induced maximum ROS production with optimum cell viability and hence were preferred in most of the other experiments. Time period was selected on the basis of our previous studies and preliminary experiments at different time intervals using ROS measurement and cell survival assay. 24 h time was found to be optimum and was used for current study.\n Effect of CSC on cellular integrity in A549 and WI26 cells FDA uptake assay is an indicator of membrane integrity and cytoplasmic esterase activity. Figure 3 is showing the results of FDA and EtBr uptake in both types of cell lines. There was maximum uptake of FDA with no cellular accumulation of EtBr at control levels in both the cell lines. Accumulation of the fluorescein decreased and uptake of the EtBr increased in a concentration dependent manner in both the cell lines. Result obtained from the assay indicted the membrane integrity was stable at 50 and 100 μg/ml of CSC treatment.Fig. 3Effect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay\nEffect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay\nFDA uptake assay is an indicator of membrane integrity and cytoplasmic esterase activity. Figure 3 is showing the results of FDA and EtBr uptake in both types of cell lines. There was maximum uptake of FDA with no cellular accumulation of EtBr at control levels in both the cell lines. Accumulation of the fluorescein decreased and uptake of the EtBr increased in a concentration dependent manner in both the cell lines. Result obtained from the assay indicted the membrane integrity was stable at 50 and 100 μg/ml of CSC treatment.Fig. 3Effect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay\nEffect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay\n SOD levels in type I and type II epithelial cells Effect of CSC treatment for 24 h on SOD in A549 and WI26 cells is shown in the Fig. 4. It was found that SOD activity was significantly higher in WI26 cells (0.278 IU/μg protein) as compared to A549 (0.188 IU/μg protein) cells. In the presence of 50 μg/ml of CSC concentration, SOD activity increased significantly in WI26 and A549 cells by 1.68 and 1.49 fold respectively (p < 0.05).Fig. 4SOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α\np < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells\nSOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α\np < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells\nEffect of CSC treatment for 24 h on SOD in A549 and WI26 cells is shown in the Fig. 4. It was found that SOD activity was significantly higher in WI26 cells (0.278 IU/μg protein) as compared to A549 (0.188 IU/μg protein) cells. In the presence of 50 μg/ml of CSC concentration, SOD activity increased significantly in WI26 and A549 cells by 1.68 and 1.49 fold respectively (p < 0.05).Fig. 4SOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α\np < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells\nSOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α\np < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells\n CSC enhanced cPLA2 activity Effect of CSC induced PLA2 activity in presence/absence of PLA2 inhibitors is shown in Fig. 5. Working PLA2inhibitors concentration was decided on the basis of cell viability, ROS and apoptosis experiments in the present study (Data not shown). At basal level we observed very low PLA2 activity in both type of lineages as optical density (OD) decreased at every minute interval from 2.88 to 2.63, 2.44, 2.29 2.11 and 1.95 in A549 cells (Fig. 5a), whereas from 3.13 to 2.95, 2.67, 2.49, 2.2 and 2.01 in WI26 cells. CSC at 50 μg/ml, significantly induced PLA2 activity in both type of cells as OD decreased at every minute interval from 2.57 to 1.5, 0.98, 0.73, 0.59 and 0.52 in A549 cells whereas from 2.80 to 2.17, 1.22, 1.02, 0.88 and 0.75 in WI26 cells (p < 0.05) (Fig. 5b). In presence of cPLA2 specific inhibitor ATK, we observed low CSC-induced PLA2 activity when compared to sPLA2 (YM26734) and iPLA2 (BEL) specific inhibitors in both type of cells. In presence of cPLA2 and sPLA2 + iPLA2 inhibitor, the decrease in OD was from 2.76 to 2.6, 2.41, 2.17, 1.88 and 1.6 (p < 0.05) and from 2.66 to 1.74, 1.17, 0.9, 0.80 and 0.63 respectively in A549 cells; whereas in WI26, OD decreased from 3.04 to 2.71, 2.47, 2.22, 1.93 and 1.70 (p < 0.05) and from 2.81 to 2.27, 1.61, 1.24, 1.02 and 0.94 respectively.Fig. 5PLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval Fig. 6mRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups \nPLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval \nmRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups \nEffect of CSC induced PLA2 activity in presence/absence of PLA2 inhibitors is shown in Fig. 5. Working PLA2inhibitors concentration was decided on the basis of cell viability, ROS and apoptosis experiments in the present study (Data not shown). At basal level we observed very low PLA2 activity in both type of lineages as optical density (OD) decreased at every minute interval from 2.88 to 2.63, 2.44, 2.29 2.11 and 1.95 in A549 cells (Fig. 5a), whereas from 3.13 to 2.95, 2.67, 2.49, 2.2 and 2.01 in WI26 cells. CSC at 50 μg/ml, significantly induced PLA2 activity in both type of cells as OD decreased at every minute interval from 2.57 to 1.5, 0.98, 0.73, 0.59 and 0.52 in A549 cells whereas from 2.80 to 2.17, 1.22, 1.02, 0.88 and 0.75 in WI26 cells (p < 0.05) (Fig. 5b). In presence of cPLA2 specific inhibitor ATK, we observed low CSC-induced PLA2 activity when compared to sPLA2 (YM26734) and iPLA2 (BEL) specific inhibitors in both type of cells. In presence of cPLA2 and sPLA2 + iPLA2 inhibitor, the decrease in OD was from 2.76 to 2.6, 2.41, 2.17, 1.88 and 1.6 (p < 0.05) and from 2.66 to 1.74, 1.17, 0.9, 0.80 and 0.63 respectively in A549 cells; whereas in WI26, OD decreased from 3.04 to 2.71, 2.47, 2.22, 1.93 and 1.70 (p < 0.05) and from 2.81 to 2.27, 1.61, 1.24, 1.02 and 0.94 respectively.Fig. 5PLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval Fig. 6mRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups \nPLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval \nmRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups \n CSC enhanced cPLA2s mRNA expression Transcriptional modulations of various selected PLA2 groups (IVA, IVB and IVC) were studied at basal level (Fig. 6a) and in presence of CSC as shown in Fig. 6b. Densitometric analysis of all cPLA2 groups was done (Table S2). In A549 cells, mRNA expression of all the cPLA2 groups increased significantly in concentration dependent manner in all CSC treated cells and the most affected group was IVA (3.98 fold) followed by IVC (2.97 fold) and IVB (1.62 fold) (p < 0.05). In WI26 cells also, CSC treatment showed significant increase in mRNA expression of cPLA2 groups in a concentration dependent manner and the most prominently induced PLA2 group was IVA (1.95) followed by IVB (1.31) and IVC (1.98) (p < 0.05).\nTranscriptional modulations of various selected PLA2 groups (IVA, IVB and IVC) were studied at basal level (Fig. 6a) and in presence of CSC as shown in Fig. 6b. Densitometric analysis of all cPLA2 groups was done (Table S2). In A549 cells, mRNA expression of all the cPLA2 groups increased significantly in concentration dependent manner in all CSC treated cells and the most affected group was IVA (3.98 fold) followed by IVC (2.97 fold) and IVB (1.62 fold) (p < 0.05). In WI26 cells also, CSC treatment showed significant increase in mRNA expression of cPLA2 groups in a concentration dependent manner and the most prominently induced PLA2 group was IVA (1.95) followed by IVB (1.31) and IVC (1.98) (p < 0.05).", "In A549 cells, it was found that cell survival decreased with increasing concentration of CSC from 1 μg/ml to 200 μg/ml and found to be 90.8 %, 84.2 %, 78.4 % and 76.4 % at 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively. Whereas in WI26 cells, no significant change was observed in survival rate up to 100 μg/ml concentration of CSC. Moreover, it was observed that at 150 μg/ml and 200 μg/ml concentrations of CSC, survival rate of WI26 cells decreased to 95.7 % and 62.2 % (p < 0.05) respectively (Fig. 1).Fig. 1Effect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#,\np < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml\nEffect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#,\np < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml\nEffects of CSC at various concentrations on ROS formation in the two cell lines are shown in Fig. 2. It was found that in A549 cells, even 1 μg CSC/ml increased the formation of ROS to 3 fold, which was further increased to 3.95 fold, 7.69 fold, 12.1 fold, 14.1 fold and 16.5 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively (Fig. 2a). In contrast to A549 cells, in WI26 cells CSC treatment increased the ROS formation to 1.21 fold, 1.58 fold, 2.26 fold, 2.73 fold and 3.56 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations (Fig. 2b).Fig. 2Effect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. *\np < 0.05. *CSC compared with their respective control\nEffect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. *\np < 0.05. *CSC compared with their respective control", "Since the morphology of two types of cells used in the present study were highly affected (Additional file 1: Figure S2) at higher concentrations (150 μg/ml and 200 μg/ml), these concentrations were not used in the next part of the study. Among all other lower concentrations, 50 μg/ml and 100 μg/ml of CSC induced maximum ROS production with optimum cell viability and hence were preferred in most of the other experiments. Time period was selected on the basis of our previous studies and preliminary experiments at different time intervals using ROS measurement and cell survival assay. 24 h time was found to be optimum and was used for current study.", "FDA uptake assay is an indicator of membrane integrity and cytoplasmic esterase activity. Figure 3 is showing the results of FDA and EtBr uptake in both types of cell lines. There was maximum uptake of FDA with no cellular accumulation of EtBr at control levels in both the cell lines. Accumulation of the fluorescein decreased and uptake of the EtBr increased in a concentration dependent manner in both the cell lines. Result obtained from the assay indicted the membrane integrity was stable at 50 and 100 μg/ml of CSC treatment.Fig. 3Effect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay\nEffect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay", "Effect of CSC treatment for 24 h on SOD in A549 and WI26 cells is shown in the Fig. 4. It was found that SOD activity was significantly higher in WI26 cells (0.278 IU/μg protein) as compared to A549 (0.188 IU/μg protein) cells. In the presence of 50 μg/ml of CSC concentration, SOD activity increased significantly in WI26 and A549 cells by 1.68 and 1.49 fold respectively (p < 0.05).Fig. 4SOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α\np < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells\nSOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α\np < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells", "Effect of CSC induced PLA2 activity in presence/absence of PLA2 inhibitors is shown in Fig. 5. Working PLA2inhibitors concentration was decided on the basis of cell viability, ROS and apoptosis experiments in the present study (Data not shown). At basal level we observed very low PLA2 activity in both type of lineages as optical density (OD) decreased at every minute interval from 2.88 to 2.63, 2.44, 2.29 2.11 and 1.95 in A549 cells (Fig. 5a), whereas from 3.13 to 2.95, 2.67, 2.49, 2.2 and 2.01 in WI26 cells. CSC at 50 μg/ml, significantly induced PLA2 activity in both type of cells as OD decreased at every minute interval from 2.57 to 1.5, 0.98, 0.73, 0.59 and 0.52 in A549 cells whereas from 2.80 to 2.17, 1.22, 1.02, 0.88 and 0.75 in WI26 cells (p < 0.05) (Fig. 5b). In presence of cPLA2 specific inhibitor ATK, we observed low CSC-induced PLA2 activity when compared to sPLA2 (YM26734) and iPLA2 (BEL) specific inhibitors in both type of cells. In presence of cPLA2 and sPLA2 + iPLA2 inhibitor, the decrease in OD was from 2.76 to 2.6, 2.41, 2.17, 1.88 and 1.6 (p < 0.05) and from 2.66 to 1.74, 1.17, 0.9, 0.80 and 0.63 respectively in A549 cells; whereas in WI26, OD decreased from 3.04 to 2.71, 2.47, 2.22, 1.93 and 1.70 (p < 0.05) and from 2.81 to 2.27, 1.61, 1.24, 1.02 and 0.94 respectively.Fig. 5PLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval Fig. 6mRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups \nPLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval \nmRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups ", "Transcriptional modulations of various selected PLA2 groups (IVA, IVB and IVC) were studied at basal level (Fig. 6a) and in presence of CSC as shown in Fig. 6b. Densitometric analysis of all cPLA2 groups was done (Table S2). In A549 cells, mRNA expression of all the cPLA2 groups increased significantly in concentration dependent manner in all CSC treated cells and the most affected group was IVA (3.98 fold) followed by IVC (2.97 fold) and IVB (1.62 fold) (p < 0.05). In WI26 cells also, CSC treatment showed significant increase in mRNA expression of cPLA2 groups in a concentration dependent manner and the most prominently induced PLA2 group was IVA (1.95) followed by IVB (1.31) and IVC (1.98) (p < 0.05).", "The lung is the only organ in the entire human architecture which has the greatest exposure to atmospheric oxygen and other environmental toxicants such as cigarette smoke [30, 31]. As we all knew that cigarette smoke is a highly complex mixture having more than 5000 chemicals including high concentration of free radicals and many of its components are known to be carcinogens, co-carcinogens and mutagens [5]. Among all type of cigarettes available in the Indian market, one of the most commonly consumed includes Gold Flake (with filter) [21] and same was used in the current study.\nCigarette smoke-induced chronic inflammation leads to the destruction of alveolar septae, resulted to the loss of elasticity and surface area for gas exchange, known as emphysema [9] and rapidly induces production of ROS thereby impairing endothelial functions [32]. The mechanisms leading to these changes after exposure of cigarette smoke were not yet completely understood in the two types of alveolar epithelial cells. However increased level of free radicals/oxidants in epithelial cells due to cigarette smoke leads to oxidative stress which is considered to be one of the major factors responsible for cell damage and death [31, 33, 34]. Using two lineages of epithelial cell lines, we showed that exposure of CSC leads to decrease in cell viability, increase in ROS production, loosed membrane integrity and altered morphology in a dose dependent manner at 24 h time period. All these observed parameters are well known hallmarks of inflammation and oxidative stress. Optimum time period and different doses of CSC were already reported by our group’s previously and same has been used in the present study [20]. In the continuation of previous study, we observed that CSC-induced ROS formation was found to be increased in concentration dependent manner in both WI26 (type I) cells as well as in A549 (type II) cells. However, the ROS formation was higher in A549 cells in comparison of WI26 cells. One of the possible reasons of such difference seems to be due to the difference in antioxidant status in two types of cells. To find out the reason behind, we investigated SOD levels in both type of cells and the results obtained from the study clearly indicate that WI26 cells had higher SOD activity in comparison of A549 cells alone and in combination with CSC treatment, its justify difference of ROS level finding among two types of lineages. Our finding shows that type II (A549) cells are comparatively more sensitive than type I (WI26) cells in terms of cell viability, higher ROS production as well as lower SOD levels. Moreover, type-I cells are highly exposed to airway insults and have been described as terminally differentiated cells, suggesting that they are incapable of cell division and cannot change their phenotypic expression. On the other hand, type-II epithelial cells are considered as progenitor cells which proliferate to re-epithelialize the damaged alveolar surfaces and then they transforms into the type-I epithelial cells. In these distinctive circumstances, type-II epithelial cells may be considered to show characteristics of stem cells mechanisms in alveolar repair [35–37] and seems to be very sensitive in contrast to type-I epithelial cells as we observed in the present study.\nPLA2s are the important molecules involved in the remodeling of the membrane lipids and also in modulation of cell signaling which contributes to either the promotion or the resolution of inflammation during various lung pathologies [38, 39]. Moreover PLA2 activity in cancer tissues found to be much higher than normal cells [40]. In this direction, we examined the PLA2 activity in both type of lineages. In our observations, we found increased PLA2 activity after exposure of CSC. Our results are in correlation with another recently described study in which increased PLA2 activity has been reported after cigarette smoke exposure [41]. PLA2s have various isoforms but cPLA2s seems to play crucial role in CSC-induced inflammatory conditions. Results obtained from the present study indicated maximum decrease in cPLA2s activity in both type of cells by using commercially available isoform specific PLA2 inhibitor(s). It is well documented that cPLA2s have key regulatory roles in the invasive migration, proliferation, and capillary-like tubule formation of vascular endothelial cells as well as in tumor angiogenesis in lung cancer (mouse models) [42]. Our study is well supported by another recent research in which involvement of cPLA2 has been reported in asthmatic and COPD cases [43]. Moreover, several cPLA2 isoform specific inhibitors are commercially available and are in clinical trials for various inflammatory diseases and has been discussed in the review by Victoria [44]. The results of CSC simulated lung epithelial cell lineage treated with cPLA2 specific inhibitor such as ATK may also support the role of cPLA2 in lung pathologies.\nFurthermore, to find out the role of specific cPLA2, we also characterized the comparative transcriptional level expression of cPLA2s at constitutive level and it was observed that all cPLA2s expressed in human lung epithelial type I (WI26) and type II (A549) cells. In presence of cigarette smoke condensate there was an increase in all cPLA2 groups but most predominantly induced group was PLA2 IVA in two different lineages of cells. In best of our knowledge, we are first group to report maximum expression of PLA2 IVA among all cPLA2s. The involvement of PLA2 IVA is already documented in several diseases and it has been used as a target molecule [45]. In this context, targeting group IVA may built-up new prospects in CSC-induced lung pathologies.\nCSC-induced difference in the expression level of cPLA2s seems to play crucial role during lung pathologies. In this prospective, we also observed that CSC-induced cPLA2s expression and ROS levels were comparatively higher in A549 cells when compared to WI26 cells. Our finding clearly advocates that CSC-induced expression level of cPLA2 group’s seemed to be dependent on ROS levels generated. Our observation is supported by another study which suggested that cigarette smoke activates cPLA2expression through NADPH oxidase/ROS in human tracheal smooth muscle cells [8].\nThe role of specific cPLA2s in cigarette smoking induced lung pathologies remains elusive due to combine effect of cigarette smoke constituents, smaller to larger extent expression of all isoforms and distinct functions attributable to each isoform. Still PLA2 IVA had maximum expression in both lineages and can be of maximum interest in CSC induced inflammatory diseases. Now a days combine strategies are required to deal with such inflammatory situations. Firstly, dietary intake of biological molecules which are rich source of antioxidants and have anti-inflammatory effects [46]. Secondly, along with healthy diet use of cPLA2s specific analogs especially for PLA2 IVA may be a novel effective therapy in cigarette smoke related lung pathologies.", "In conclusion, it is worth mentioning; here the present study indicates involvement of specific cPLA2 IVA as a potential biomolecule candidate during cigarette smoke induced oxidative stress in type I and type II alveolar epithelial cells and strategies to target them may be key approach in cigarette smoke induced lung pathologies." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Materials", "Methods", "Cell culturing", "Cigarette smoke condensate preparation", "Cell viability assay", "Reactive oxygen species", "Cellular integrity by FDA uptake", "Superoxide dismutase activity", "PLA2 assay", "Reverse transcription-polymerase chain reaction (RT-PCR)", "Protein estimation", "Statistical analysis", "Results", "Effect of CSC on cell viability and reactive oxygen species in A549 and WI26 cells", "Cells morphology", "Effect of CSC on cellular integrity in A549 and WI26 cells", "SOD levels in type I and type II epithelial cells", "CSC enhanced cPLA2 activity", "CSC enhanced cPLA2s mRNA expression", "Discussion", "Conclusion" ]
[ "Cigarette smoking is leading cause of deaths and projected to cause 8–10 million deaths per year worldwide [1]. It is associated with different types of lung cancer and approximately one third of all cancer death [1–3]. Currently more than 370 billion cigarettes are being consumed by smokers globally and it has been projected that more than 30 % of the people will be smokers by 2030 [2]. On the other hand it has been expected that rate of smoking will be reached 70 % in developing countries [1]. It has been documented that single puff of cigarette smoke contains 1017 oxidant molecules out of which 1015 are reactive oxygen species/ reactive nitrogen species. Moreover, these ROS/RNS are known to be one of the causative factors in various lung pathologies including cancer and chronic obstructive pulmonary disease (COPD) [4–6]. During cigarette smoking, the most affected and highly exposed cells are the alveolar epithelium which is lined by type-I (~90–95 %) and type-II (~5–10 %) epithelial cells. In addition, damage and death of epithelial cells induced by cigarette smoke exposure can mostly be accounted for by an increased in oxidant stress. Enhanced levels of free radicals/oxidants leads to oxidative stress and initation of repair processes whether started as part of an inflammatory response or as a response to injury is still not clear in cigarette smokers. In this context, one of the hallmark enzymes are Phospholipase A2s which are responsible for membranes remodeling [7–9] but in the case of cigarette smokers mechanistically study is not yet fully defined.\nPLA2s are lipolytic enzymes that catalyze the hydrolysis of acyl-groups at the sn-2 position of glycerophospholipids and produce free fatty acids and lyso-Phospholipids by an interfacial activation catalytic mechanism. To date, at least 26 genes that encode various types of PLA2 proteins with esterase’s activity have been identified in human and are assigned to five different groups. (i) Secretory PLA2s with molecular weight of 14 kDa, (ii) the 85 kDa cytosolic PLA2s, (iii) Ca2+ independent PLA2s (iv) Platelet-activating factor acetyl hydrolase and (v) lysosomal PLA2s. These PLA2s were differentiated on the basis of their sequence, molecular weight, disulfide bonding patterns, requirement for Ca2+ to their biochemical characteristics and localization [10–13]. It has been suggested that PLA2 isoforms are involved either in the promotion or in the resolution of inflammation depending upon cell type and generation of eicosanoid [14–16]. In this context cytosolic phospholipase A2s (cPLA2s) are the main enzymes mediating arachidonic acid release and pro-inflammatory eicosanoids production. Moreover these biomolecules are associated with chronic inflammation which is a recognized risk factor for carcinogenesis [17–19]. The overall aim of this study was to investigate the involvement of particular cPLA2 which could be proposed as future therapeutic target during cigarette smoke induced pathologies in alveolar epithelium and results are reported in present paper.", " Materials WI26 (type-I) lung epithelial cell line was procured from American type culture collection (ATCC), Rockville, MD (USA), (ATCC® CCL-95.1™, https://www.atcc.org/Products/All/CCL-95.1.aspx). A549 (type-II) lung epithelial cell line was procured from National centre for cell science (NCCS), pune, India (http://www.nccs.res.in/CR5.html). PLA2-inhibitors bromoenol lactone (BEL), arachidonyl trifluroethyl ketone (ATK), bromophenacyl bromide (BPB), DCFH-DA, FDA and other general reagents were purchased from Sigma (St. Louis, MO, U.S.A.). PLA2-inhibitor YM26734 was purchased from Tocris bioscience, Bristol, UK.\nWI26 (type-I) lung epithelial cell line was procured from American type culture collection (ATCC), Rockville, MD (USA), (ATCC® CCL-95.1™, https://www.atcc.org/Products/All/CCL-95.1.aspx). A549 (type-II) lung epithelial cell line was procured from National centre for cell science (NCCS), pune, India (http://www.nccs.res.in/CR5.html). PLA2-inhibitors bromoenol lactone (BEL), arachidonyl trifluroethyl ketone (ATK), bromophenacyl bromide (BPB), DCFH-DA, FDA and other general reagents were purchased from Sigma (St. Louis, MO, U.S.A.). PLA2-inhibitor YM26734 was purchased from Tocris bioscience, Bristol, UK.\n Methods Cell culturing Human lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1).\nHuman lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1).\n Cell culturing Human lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1).\nHuman lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1).\n Cigarette smoke condensate preparation Cigarette smoke condensate was prepared in our own laboratory according to standardized method of Kaushik 2009 [20], from most commonly used cigarettes (Gold Flake with filter) by the Indian population [21]. In brief smoke from a burning cigarette was sucked into a flask containing acetone with the help of a vacuum pump. Three ways connecting glass joint was used for suction. The rate of airflow was regulated by a valve so that cigarette burns upto bud in approximately 6 min. Acetone was evaporated under vacuum/nitrogen gas and the residue i.e. CSC was used for the experiments. CSC was dissolved in DMSO, in such a way that the final concentration of DMSO in plates did not exceed 0.025 % in culture medium. Further, dilution of CSC stocks was done with sterile PBS.\nCigarette smoke condensate was prepared in our own laboratory according to standardized method of Kaushik 2009 [20], from most commonly used cigarettes (Gold Flake with filter) by the Indian population [21]. In brief smoke from a burning cigarette was sucked into a flask containing acetone with the help of a vacuum pump. Three ways connecting glass joint was used for suction. The rate of airflow was regulated by a valve so that cigarette burns upto bud in approximately 6 min. Acetone was evaporated under vacuum/nitrogen gas and the residue i.e. CSC was used for the experiments. CSC was dissolved in DMSO, in such a way that the final concentration of DMSO in plates did not exceed 0.025 % in culture medium. Further, dilution of CSC stocks was done with sterile PBS.\n Cell viability assay Effect of CSC on cell viability was evaluated by the 3-(4,5- dimethylthiazol-2-yl)-diphenyltetrazolium bromide (MTT) dye uptake method [22]. Briefly, 2 x 103cells were seeded in 96-well plates and allowed to grow overnight. After 24 h of priming, cells were treated with different concentrations of CSC for 24 h. Before treatment; medium was replaced with fresh medium. Four h before the end of desired time interval, 20 μl of MTT solution (2.5 mg/ml) was added to each well. After 4 h, resulting formazan crystals were dissolved in 40 μl of lysis buffer. The developed color was read at 540 nm on ELISA reader. The relative viability was calculated as described earlier.\nEffect of CSC on cell viability was evaluated by the 3-(4,5- dimethylthiazol-2-yl)-diphenyltetrazolium bromide (MTT) dye uptake method [22]. Briefly, 2 x 103cells were seeded in 96-well plates and allowed to grow overnight. After 24 h of priming, cells were treated with different concentrations of CSC for 24 h. Before treatment; medium was replaced with fresh medium. Four h before the end of desired time interval, 20 μl of MTT solution (2.5 mg/ml) was added to each well. After 4 h, resulting formazan crystals were dissolved in 40 μl of lysis buffer. The developed color was read at 540 nm on ELISA reader. The relative viability was calculated as described earlier.\n Reactive oxygen species Levels of intracellular ROS were measured by the shift in fluorescent intensity resulting from oxidation of DCFH-DA fluorescence dye by the method of Wan et al. [23]. In brief, cells (0.5 x 105 cells/well) were seeded into 12 well culture plates and allowed to grow overnight. Cells were challenged with CSC for 24 h. Before completion of treatment, cells were incubated with 5 μM DCFH-DA fluorescence dye for 30 min. After completion of treatment, cells were washed, harvested and re-suspended in ice-chilled PBS and analyzed by flow cytometery (FACScan) and shift in fluorescent peak was represented in terms of mean fluorescent intensity (MFI).\nLevels of intracellular ROS were measured by the shift in fluorescent intensity resulting from oxidation of DCFH-DA fluorescence dye by the method of Wan et al. [23]. In brief, cells (0.5 x 105 cells/well) were seeded into 12 well culture plates and allowed to grow overnight. Cells were challenged with CSC for 24 h. Before completion of treatment, cells were incubated with 5 μM DCFH-DA fluorescence dye for 30 min. After completion of treatment, cells were washed, harvested and re-suspended in ice-chilled PBS and analyzed by flow cytometery (FACScan) and shift in fluorescent peak was represented in terms of mean fluorescent intensity (MFI).\n Cellular integrity by FDA uptake Cellular injury was determined by the FDA and ethidium bromide staining method [24]. FDA is an indicator of membrane integrity and cytoplasmic esterase activity. So the cells with intact membranes fluoresce green and cells with damaged membranes fluoresce red. Cells after CSC treatment was incubated with 10 μM FDA and 25 μM of ethidium bromide and was visualized under fluorescent microscope.\nCellular injury was determined by the FDA and ethidium bromide staining method [24]. FDA is an indicator of membrane integrity and cytoplasmic esterase activity. So the cells with intact membranes fluoresce green and cells with damaged membranes fluoresce red. Cells after CSC treatment was incubated with 10 μM FDA and 25 μM of ethidium bromide and was visualized under fluorescent microscope.\n Superoxide dismutase activity Superoxide dismutase activity was estimated as described earlier [25]. In brief 2 x 106 cells were plated in 100 mm2 culture dishes and allowed to grow for 24 h. After 24 h of CSC treatment, cells were washed, harvested and centrifuged at 200 x g for 10 min at 40C. Cell pellet was washed with ice-chilled PBS and resuspended in PBS. Cells were lysed by the three freeze-thaw cycles followed by sonication (Sonicator Q700, Qsonica) for 5 min in ice-chilled water. After centrifugation at 800 x g for 10 min at 4 °C, the supernatant was assayed for SOD.\nSuperoxide dismutase activity was estimated as described earlier [25]. In brief 2 x 106 cells were plated in 100 mm2 culture dishes and allowed to grow for 24 h. After 24 h of CSC treatment, cells were washed, harvested and centrifuged at 200 x g for 10 min at 40C. Cell pellet was washed with ice-chilled PBS and resuspended in PBS. Cells were lysed by the three freeze-thaw cycles followed by sonication (Sonicator Q700, Qsonica) for 5 min in ice-chilled water. After centrifugation at 800 x g for 10 min at 4 °C, the supernatant was assayed for SOD.\n PLA2 assay The effect of CSC on the PLA2 activity was measured in the presence/absence of PLA2-inhibitors by the modified method of price [26]. In brief, samples were freshly diluted in 2 mM HEPES at pH 7.5 and 20 μl of each sample mixture, or buffer mixture as negative control was put in the well of a round bottom 96 well micro plate. 180 μL of an assay mixture at pH 7.5 at 37 °C was added to each sample. The plate was immediately read at 600 nm at one minute intervals for five minutes. Immediately after addition of substrate, the blue color of dye turns yellow with pH change due to PLA2 activity and absorbance decreases.\nThe effect of CSC on the PLA2 activity was measured in the presence/absence of PLA2-inhibitors by the modified method of price [26]. In brief, samples were freshly diluted in 2 mM HEPES at pH 7.5 and 20 μl of each sample mixture, or buffer mixture as negative control was put in the well of a round bottom 96 well micro plate. 180 μL of an assay mixture at pH 7.5 at 37 °C was added to each sample. The plate was immediately read at 600 nm at one minute intervals for five minutes. Immediately after addition of substrate, the blue color of dye turns yellow with pH change due to PLA2 activity and absorbance decreases.\n Reverse transcription-polymerase chain reaction (RT-PCR) After treatment total RNA from both type of epithelial cells was isolated using the method of Chomcznski et al [27]. Analysis of mRNA levels of cPLA2 groups IVA, IVB and IVC was done by RT-PCR. In PCR reactions (25 μl) 100 ng cDNA was used as template DNA. The primer sequences for the expression of all the genes were taken from previously published literature [28]. The primer sequences used for this study are given in (Additional file 1: Table S1).\nAfter treatment total RNA from both type of epithelial cells was isolated using the method of Chomcznski et al [27]. Analysis of mRNA levels of cPLA2 groups IVA, IVB and IVC was done by RT-PCR. In PCR reactions (25 μl) 100 ng cDNA was used as template DNA. The primer sequences for the expression of all the genes were taken from previously published literature [28]. The primer sequences used for this study are given in (Additional file 1: Table S1).\n Protein estimation Protein content of cell lysate was measured in all samples by Bradford method [29]. Bovine Serum Albumin (BSA) was used as a protein standard.\nProtein content of cell lysate was measured in all samples by Bradford method [29]. Bovine Serum Albumin (BSA) was used as a protein standard.\n Statistical analysis Values displayed in the results are mean ± standard deviation of at least three independent experiments carried out in triplicate. P < 0.05 was considered to be statically significant. One way analysis of variance (ANOVA) and t test were employed using SPSS software to govern statistical significance of the results.\nValues displayed in the results are mean ± standard deviation of at least three independent experiments carried out in triplicate. P < 0.05 was considered to be statically significant. One way analysis of variance (ANOVA) and t test were employed using SPSS software to govern statistical significance of the results.", "WI26 (type-I) lung epithelial cell line was procured from American type culture collection (ATCC), Rockville, MD (USA), (ATCC® CCL-95.1™, https://www.atcc.org/Products/All/CCL-95.1.aspx). A549 (type-II) lung epithelial cell line was procured from National centre for cell science (NCCS), pune, India (http://www.nccs.res.in/CR5.html). PLA2-inhibitors bromoenol lactone (BEL), arachidonyl trifluroethyl ketone (ATK), bromophenacyl bromide (BPB), DCFH-DA, FDA and other general reagents were purchased from Sigma (St. Louis, MO, U.S.A.). PLA2-inhibitor YM26734 was purchased from Tocris bioscience, Bristol, UK.", " Cell culturing Human lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1).\nHuman lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1).", "Human lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1).", "Cigarette smoke condensate was prepared in our own laboratory according to standardized method of Kaushik 2009 [20], from most commonly used cigarettes (Gold Flake with filter) by the Indian population [21]. In brief smoke from a burning cigarette was sucked into a flask containing acetone with the help of a vacuum pump. Three ways connecting glass joint was used for suction. The rate of airflow was regulated by a valve so that cigarette burns upto bud in approximately 6 min. Acetone was evaporated under vacuum/nitrogen gas and the residue i.e. CSC was used for the experiments. CSC was dissolved in DMSO, in such a way that the final concentration of DMSO in plates did not exceed 0.025 % in culture medium. Further, dilution of CSC stocks was done with sterile PBS.", "Effect of CSC on cell viability was evaluated by the 3-(4,5- dimethylthiazol-2-yl)-diphenyltetrazolium bromide (MTT) dye uptake method [22]. Briefly, 2 x 103cells were seeded in 96-well plates and allowed to grow overnight. After 24 h of priming, cells were treated with different concentrations of CSC for 24 h. Before treatment; medium was replaced with fresh medium. Four h before the end of desired time interval, 20 μl of MTT solution (2.5 mg/ml) was added to each well. After 4 h, resulting formazan crystals were dissolved in 40 μl of lysis buffer. The developed color was read at 540 nm on ELISA reader. The relative viability was calculated as described earlier.", "Levels of intracellular ROS were measured by the shift in fluorescent intensity resulting from oxidation of DCFH-DA fluorescence dye by the method of Wan et al. [23]. In brief, cells (0.5 x 105 cells/well) were seeded into 12 well culture plates and allowed to grow overnight. Cells were challenged with CSC for 24 h. Before completion of treatment, cells were incubated with 5 μM DCFH-DA fluorescence dye for 30 min. After completion of treatment, cells were washed, harvested and re-suspended in ice-chilled PBS and analyzed by flow cytometery (FACScan) and shift in fluorescent peak was represented in terms of mean fluorescent intensity (MFI).", "Cellular injury was determined by the FDA and ethidium bromide staining method [24]. FDA is an indicator of membrane integrity and cytoplasmic esterase activity. So the cells with intact membranes fluoresce green and cells with damaged membranes fluoresce red. Cells after CSC treatment was incubated with 10 μM FDA and 25 μM of ethidium bromide and was visualized under fluorescent microscope.", "Superoxide dismutase activity was estimated as described earlier [25]. In brief 2 x 106 cells were plated in 100 mm2 culture dishes and allowed to grow for 24 h. After 24 h of CSC treatment, cells were washed, harvested and centrifuged at 200 x g for 10 min at 40C. Cell pellet was washed with ice-chilled PBS and resuspended in PBS. Cells were lysed by the three freeze-thaw cycles followed by sonication (Sonicator Q700, Qsonica) for 5 min in ice-chilled water. After centrifugation at 800 x g for 10 min at 4 °C, the supernatant was assayed for SOD.", "The effect of CSC on the PLA2 activity was measured in the presence/absence of PLA2-inhibitors by the modified method of price [26]. In brief, samples were freshly diluted in 2 mM HEPES at pH 7.5 and 20 μl of each sample mixture, or buffer mixture as negative control was put in the well of a round bottom 96 well micro plate. 180 μL of an assay mixture at pH 7.5 at 37 °C was added to each sample. The plate was immediately read at 600 nm at one minute intervals for five minutes. Immediately after addition of substrate, the blue color of dye turns yellow with pH change due to PLA2 activity and absorbance decreases.", "After treatment total RNA from both type of epithelial cells was isolated using the method of Chomcznski et al [27]. Analysis of mRNA levels of cPLA2 groups IVA, IVB and IVC was done by RT-PCR. In PCR reactions (25 μl) 100 ng cDNA was used as template DNA. The primer sequences for the expression of all the genes were taken from previously published literature [28]. The primer sequences used for this study are given in (Additional file 1: Table S1).", "Protein content of cell lysate was measured in all samples by Bradford method [29]. Bovine Serum Albumin (BSA) was used as a protein standard.", "Values displayed in the results are mean ± standard deviation of at least three independent experiments carried out in triplicate. P < 0.05 was considered to be statically significant. One way analysis of variance (ANOVA) and t test were employed using SPSS software to govern statistical significance of the results.", " Effect of CSC on cell viability and reactive oxygen species in A549 and WI26 cells In A549 cells, it was found that cell survival decreased with increasing concentration of CSC from 1 μg/ml to 200 μg/ml and found to be 90.8 %, 84.2 %, 78.4 % and 76.4 % at 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively. Whereas in WI26 cells, no significant change was observed in survival rate up to 100 μg/ml concentration of CSC. Moreover, it was observed that at 150 μg/ml and 200 μg/ml concentrations of CSC, survival rate of WI26 cells decreased to 95.7 % and 62.2 % (p < 0.05) respectively (Fig. 1).Fig. 1Effect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#,\np < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml\nEffect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#,\np < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml\nEffects of CSC at various concentrations on ROS formation in the two cell lines are shown in Fig. 2. It was found that in A549 cells, even 1 μg CSC/ml increased the formation of ROS to 3 fold, which was further increased to 3.95 fold, 7.69 fold, 12.1 fold, 14.1 fold and 16.5 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively (Fig. 2a). In contrast to A549 cells, in WI26 cells CSC treatment increased the ROS formation to 1.21 fold, 1.58 fold, 2.26 fold, 2.73 fold and 3.56 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations (Fig. 2b).Fig. 2Effect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. *\np < 0.05. *CSC compared with their respective control\nEffect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. *\np < 0.05. *CSC compared with their respective control\nIn A549 cells, it was found that cell survival decreased with increasing concentration of CSC from 1 μg/ml to 200 μg/ml and found to be 90.8 %, 84.2 %, 78.4 % and 76.4 % at 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively. Whereas in WI26 cells, no significant change was observed in survival rate up to 100 μg/ml concentration of CSC. Moreover, it was observed that at 150 μg/ml and 200 μg/ml concentrations of CSC, survival rate of WI26 cells decreased to 95.7 % and 62.2 % (p < 0.05) respectively (Fig. 1).Fig. 1Effect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#,\np < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml\nEffect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#,\np < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml\nEffects of CSC at various concentrations on ROS formation in the two cell lines are shown in Fig. 2. It was found that in A549 cells, even 1 μg CSC/ml increased the formation of ROS to 3 fold, which was further increased to 3.95 fold, 7.69 fold, 12.1 fold, 14.1 fold and 16.5 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively (Fig. 2a). In contrast to A549 cells, in WI26 cells CSC treatment increased the ROS formation to 1.21 fold, 1.58 fold, 2.26 fold, 2.73 fold and 3.56 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations (Fig. 2b).Fig. 2Effect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. *\np < 0.05. *CSC compared with their respective control\nEffect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. *\np < 0.05. *CSC compared with their respective control\n Cells morphology Since the morphology of two types of cells used in the present study were highly affected (Additional file 1: Figure S2) at higher concentrations (150 μg/ml and 200 μg/ml), these concentrations were not used in the next part of the study. Among all other lower concentrations, 50 μg/ml and 100 μg/ml of CSC induced maximum ROS production with optimum cell viability and hence were preferred in most of the other experiments. Time period was selected on the basis of our previous studies and preliminary experiments at different time intervals using ROS measurement and cell survival assay. 24 h time was found to be optimum and was used for current study.\nSince the morphology of two types of cells used in the present study were highly affected (Additional file 1: Figure S2) at higher concentrations (150 μg/ml and 200 μg/ml), these concentrations were not used in the next part of the study. Among all other lower concentrations, 50 μg/ml and 100 μg/ml of CSC induced maximum ROS production with optimum cell viability and hence were preferred in most of the other experiments. Time period was selected on the basis of our previous studies and preliminary experiments at different time intervals using ROS measurement and cell survival assay. 24 h time was found to be optimum and was used for current study.\n Effect of CSC on cellular integrity in A549 and WI26 cells FDA uptake assay is an indicator of membrane integrity and cytoplasmic esterase activity. Figure 3 is showing the results of FDA and EtBr uptake in both types of cell lines. There was maximum uptake of FDA with no cellular accumulation of EtBr at control levels in both the cell lines. Accumulation of the fluorescein decreased and uptake of the EtBr increased in a concentration dependent manner in both the cell lines. Result obtained from the assay indicted the membrane integrity was stable at 50 and 100 μg/ml of CSC treatment.Fig. 3Effect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay\nEffect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay\nFDA uptake assay is an indicator of membrane integrity and cytoplasmic esterase activity. Figure 3 is showing the results of FDA and EtBr uptake in both types of cell lines. There was maximum uptake of FDA with no cellular accumulation of EtBr at control levels in both the cell lines. Accumulation of the fluorescein decreased and uptake of the EtBr increased in a concentration dependent manner in both the cell lines. Result obtained from the assay indicted the membrane integrity was stable at 50 and 100 μg/ml of CSC treatment.Fig. 3Effect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay\nEffect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay\n SOD levels in type I and type II epithelial cells Effect of CSC treatment for 24 h on SOD in A549 and WI26 cells is shown in the Fig. 4. It was found that SOD activity was significantly higher in WI26 cells (0.278 IU/μg protein) as compared to A549 (0.188 IU/μg protein) cells. In the presence of 50 μg/ml of CSC concentration, SOD activity increased significantly in WI26 and A549 cells by 1.68 and 1.49 fold respectively (p < 0.05).Fig. 4SOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α\np < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells\nSOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α\np < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells\nEffect of CSC treatment for 24 h on SOD in A549 and WI26 cells is shown in the Fig. 4. It was found that SOD activity was significantly higher in WI26 cells (0.278 IU/μg protein) as compared to A549 (0.188 IU/μg protein) cells. In the presence of 50 μg/ml of CSC concentration, SOD activity increased significantly in WI26 and A549 cells by 1.68 and 1.49 fold respectively (p < 0.05).Fig. 4SOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α\np < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells\nSOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α\np < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells\n CSC enhanced cPLA2 activity Effect of CSC induced PLA2 activity in presence/absence of PLA2 inhibitors is shown in Fig. 5. Working PLA2inhibitors concentration was decided on the basis of cell viability, ROS and apoptosis experiments in the present study (Data not shown). At basal level we observed very low PLA2 activity in both type of lineages as optical density (OD) decreased at every minute interval from 2.88 to 2.63, 2.44, 2.29 2.11 and 1.95 in A549 cells (Fig. 5a), whereas from 3.13 to 2.95, 2.67, 2.49, 2.2 and 2.01 in WI26 cells. CSC at 50 μg/ml, significantly induced PLA2 activity in both type of cells as OD decreased at every minute interval from 2.57 to 1.5, 0.98, 0.73, 0.59 and 0.52 in A549 cells whereas from 2.80 to 2.17, 1.22, 1.02, 0.88 and 0.75 in WI26 cells (p < 0.05) (Fig. 5b). In presence of cPLA2 specific inhibitor ATK, we observed low CSC-induced PLA2 activity when compared to sPLA2 (YM26734) and iPLA2 (BEL) specific inhibitors in both type of cells. In presence of cPLA2 and sPLA2 + iPLA2 inhibitor, the decrease in OD was from 2.76 to 2.6, 2.41, 2.17, 1.88 and 1.6 (p < 0.05) and from 2.66 to 1.74, 1.17, 0.9, 0.80 and 0.63 respectively in A549 cells; whereas in WI26, OD decreased from 3.04 to 2.71, 2.47, 2.22, 1.93 and 1.70 (p < 0.05) and from 2.81 to 2.27, 1.61, 1.24, 1.02 and 0.94 respectively.Fig. 5PLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval Fig. 6mRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups \nPLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval \nmRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups \nEffect of CSC induced PLA2 activity in presence/absence of PLA2 inhibitors is shown in Fig. 5. Working PLA2inhibitors concentration was decided on the basis of cell viability, ROS and apoptosis experiments in the present study (Data not shown). At basal level we observed very low PLA2 activity in both type of lineages as optical density (OD) decreased at every minute interval from 2.88 to 2.63, 2.44, 2.29 2.11 and 1.95 in A549 cells (Fig. 5a), whereas from 3.13 to 2.95, 2.67, 2.49, 2.2 and 2.01 in WI26 cells. CSC at 50 μg/ml, significantly induced PLA2 activity in both type of cells as OD decreased at every minute interval from 2.57 to 1.5, 0.98, 0.73, 0.59 and 0.52 in A549 cells whereas from 2.80 to 2.17, 1.22, 1.02, 0.88 and 0.75 in WI26 cells (p < 0.05) (Fig. 5b). In presence of cPLA2 specific inhibitor ATK, we observed low CSC-induced PLA2 activity when compared to sPLA2 (YM26734) and iPLA2 (BEL) specific inhibitors in both type of cells. In presence of cPLA2 and sPLA2 + iPLA2 inhibitor, the decrease in OD was from 2.76 to 2.6, 2.41, 2.17, 1.88 and 1.6 (p < 0.05) and from 2.66 to 1.74, 1.17, 0.9, 0.80 and 0.63 respectively in A549 cells; whereas in WI26, OD decreased from 3.04 to 2.71, 2.47, 2.22, 1.93 and 1.70 (p < 0.05) and from 2.81 to 2.27, 1.61, 1.24, 1.02 and 0.94 respectively.Fig. 5PLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval Fig. 6mRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups \nPLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval \nmRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups \n CSC enhanced cPLA2s mRNA expression Transcriptional modulations of various selected PLA2 groups (IVA, IVB and IVC) were studied at basal level (Fig. 6a) and in presence of CSC as shown in Fig. 6b. Densitometric analysis of all cPLA2 groups was done (Table S2). In A549 cells, mRNA expression of all the cPLA2 groups increased significantly in concentration dependent manner in all CSC treated cells and the most affected group was IVA (3.98 fold) followed by IVC (2.97 fold) and IVB (1.62 fold) (p < 0.05). In WI26 cells also, CSC treatment showed significant increase in mRNA expression of cPLA2 groups in a concentration dependent manner and the most prominently induced PLA2 group was IVA (1.95) followed by IVB (1.31) and IVC (1.98) (p < 0.05).\nTranscriptional modulations of various selected PLA2 groups (IVA, IVB and IVC) were studied at basal level (Fig. 6a) and in presence of CSC as shown in Fig. 6b. Densitometric analysis of all cPLA2 groups was done (Table S2). In A549 cells, mRNA expression of all the cPLA2 groups increased significantly in concentration dependent manner in all CSC treated cells and the most affected group was IVA (3.98 fold) followed by IVC (2.97 fold) and IVB (1.62 fold) (p < 0.05). In WI26 cells also, CSC treatment showed significant increase in mRNA expression of cPLA2 groups in a concentration dependent manner and the most prominently induced PLA2 group was IVA (1.95) followed by IVB (1.31) and IVC (1.98) (p < 0.05).", "In A549 cells, it was found that cell survival decreased with increasing concentration of CSC from 1 μg/ml to 200 μg/ml and found to be 90.8 %, 84.2 %, 78.4 % and 76.4 % at 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively. Whereas in WI26 cells, no significant change was observed in survival rate up to 100 μg/ml concentration of CSC. Moreover, it was observed that at 150 μg/ml and 200 μg/ml concentrations of CSC, survival rate of WI26 cells decreased to 95.7 % and 62.2 % (p < 0.05) respectively (Fig. 1).Fig. 1Effect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#,\np < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml\nEffect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#,\np < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml\nEffects of CSC at various concentrations on ROS formation in the two cell lines are shown in Fig. 2. It was found that in A549 cells, even 1 μg CSC/ml increased the formation of ROS to 3 fold, which was further increased to 3.95 fold, 7.69 fold, 12.1 fold, 14.1 fold and 16.5 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively (Fig. 2a). In contrast to A549 cells, in WI26 cells CSC treatment increased the ROS formation to 1.21 fold, 1.58 fold, 2.26 fold, 2.73 fold and 3.56 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations (Fig. 2b).Fig. 2Effect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. *\np < 0.05. *CSC compared with their respective control\nEffect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. *\np < 0.05. *CSC compared with their respective control", "Since the morphology of two types of cells used in the present study were highly affected (Additional file 1: Figure S2) at higher concentrations (150 μg/ml and 200 μg/ml), these concentrations were not used in the next part of the study. Among all other lower concentrations, 50 μg/ml and 100 μg/ml of CSC induced maximum ROS production with optimum cell viability and hence were preferred in most of the other experiments. Time period was selected on the basis of our previous studies and preliminary experiments at different time intervals using ROS measurement and cell survival assay. 24 h time was found to be optimum and was used for current study.", "FDA uptake assay is an indicator of membrane integrity and cytoplasmic esterase activity. Figure 3 is showing the results of FDA and EtBr uptake in both types of cell lines. There was maximum uptake of FDA with no cellular accumulation of EtBr at control levels in both the cell lines. Accumulation of the fluorescein decreased and uptake of the EtBr increased in a concentration dependent manner in both the cell lines. Result obtained from the assay indicted the membrane integrity was stable at 50 and 100 μg/ml of CSC treatment.Fig. 3Effect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay\nEffect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay", "Effect of CSC treatment for 24 h on SOD in A549 and WI26 cells is shown in the Fig. 4. It was found that SOD activity was significantly higher in WI26 cells (0.278 IU/μg protein) as compared to A549 (0.188 IU/μg protein) cells. In the presence of 50 μg/ml of CSC concentration, SOD activity increased significantly in WI26 and A549 cells by 1.68 and 1.49 fold respectively (p < 0.05).Fig. 4SOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α\np < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells\nSOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α\np < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells", "Effect of CSC induced PLA2 activity in presence/absence of PLA2 inhibitors is shown in Fig. 5. Working PLA2inhibitors concentration was decided on the basis of cell viability, ROS and apoptosis experiments in the present study (Data not shown). At basal level we observed very low PLA2 activity in both type of lineages as optical density (OD) decreased at every minute interval from 2.88 to 2.63, 2.44, 2.29 2.11 and 1.95 in A549 cells (Fig. 5a), whereas from 3.13 to 2.95, 2.67, 2.49, 2.2 and 2.01 in WI26 cells. CSC at 50 μg/ml, significantly induced PLA2 activity in both type of cells as OD decreased at every minute interval from 2.57 to 1.5, 0.98, 0.73, 0.59 and 0.52 in A549 cells whereas from 2.80 to 2.17, 1.22, 1.02, 0.88 and 0.75 in WI26 cells (p < 0.05) (Fig. 5b). In presence of cPLA2 specific inhibitor ATK, we observed low CSC-induced PLA2 activity when compared to sPLA2 (YM26734) and iPLA2 (BEL) specific inhibitors in both type of cells. In presence of cPLA2 and sPLA2 + iPLA2 inhibitor, the decrease in OD was from 2.76 to 2.6, 2.41, 2.17, 1.88 and 1.6 (p < 0.05) and from 2.66 to 1.74, 1.17, 0.9, 0.80 and 0.63 respectively in A549 cells; whereas in WI26, OD decreased from 3.04 to 2.71, 2.47, 2.22, 1.93 and 1.70 (p < 0.05) and from 2.81 to 2.27, 1.61, 1.24, 1.02 and 0.94 respectively.Fig. 5PLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval Fig. 6mRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups \nPLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval \nmRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups ", "Transcriptional modulations of various selected PLA2 groups (IVA, IVB and IVC) were studied at basal level (Fig. 6a) and in presence of CSC as shown in Fig. 6b. Densitometric analysis of all cPLA2 groups was done (Table S2). In A549 cells, mRNA expression of all the cPLA2 groups increased significantly in concentration dependent manner in all CSC treated cells and the most affected group was IVA (3.98 fold) followed by IVC (2.97 fold) and IVB (1.62 fold) (p < 0.05). In WI26 cells also, CSC treatment showed significant increase in mRNA expression of cPLA2 groups in a concentration dependent manner and the most prominently induced PLA2 group was IVA (1.95) followed by IVB (1.31) and IVC (1.98) (p < 0.05).", "The lung is the only organ in the entire human architecture which has the greatest exposure to atmospheric oxygen and other environmental toxicants such as cigarette smoke [30, 31]. As we all knew that cigarette smoke is a highly complex mixture having more than 5000 chemicals including high concentration of free radicals and many of its components are known to be carcinogens, co-carcinogens and mutagens [5]. Among all type of cigarettes available in the Indian market, one of the most commonly consumed includes Gold Flake (with filter) [21] and same was used in the current study.\nCigarette smoke-induced chronic inflammation leads to the destruction of alveolar septae, resulted to the loss of elasticity and surface area for gas exchange, known as emphysema [9] and rapidly induces production of ROS thereby impairing endothelial functions [32]. The mechanisms leading to these changes after exposure of cigarette smoke were not yet completely understood in the two types of alveolar epithelial cells. However increased level of free radicals/oxidants in epithelial cells due to cigarette smoke leads to oxidative stress which is considered to be one of the major factors responsible for cell damage and death [31, 33, 34]. Using two lineages of epithelial cell lines, we showed that exposure of CSC leads to decrease in cell viability, increase in ROS production, loosed membrane integrity and altered morphology in a dose dependent manner at 24 h time period. All these observed parameters are well known hallmarks of inflammation and oxidative stress. Optimum time period and different doses of CSC were already reported by our group’s previously and same has been used in the present study [20]. In the continuation of previous study, we observed that CSC-induced ROS formation was found to be increased in concentration dependent manner in both WI26 (type I) cells as well as in A549 (type II) cells. However, the ROS formation was higher in A549 cells in comparison of WI26 cells. One of the possible reasons of such difference seems to be due to the difference in antioxidant status in two types of cells. To find out the reason behind, we investigated SOD levels in both type of cells and the results obtained from the study clearly indicate that WI26 cells had higher SOD activity in comparison of A549 cells alone and in combination with CSC treatment, its justify difference of ROS level finding among two types of lineages. Our finding shows that type II (A549) cells are comparatively more sensitive than type I (WI26) cells in terms of cell viability, higher ROS production as well as lower SOD levels. Moreover, type-I cells are highly exposed to airway insults and have been described as terminally differentiated cells, suggesting that they are incapable of cell division and cannot change their phenotypic expression. On the other hand, type-II epithelial cells are considered as progenitor cells which proliferate to re-epithelialize the damaged alveolar surfaces and then they transforms into the type-I epithelial cells. In these distinctive circumstances, type-II epithelial cells may be considered to show characteristics of stem cells mechanisms in alveolar repair [35–37] and seems to be very sensitive in contrast to type-I epithelial cells as we observed in the present study.\nPLA2s are the important molecules involved in the remodeling of the membrane lipids and also in modulation of cell signaling which contributes to either the promotion or the resolution of inflammation during various lung pathologies [38, 39]. Moreover PLA2 activity in cancer tissues found to be much higher than normal cells [40]. In this direction, we examined the PLA2 activity in both type of lineages. In our observations, we found increased PLA2 activity after exposure of CSC. Our results are in correlation with another recently described study in which increased PLA2 activity has been reported after cigarette smoke exposure [41]. PLA2s have various isoforms but cPLA2s seems to play crucial role in CSC-induced inflammatory conditions. Results obtained from the present study indicated maximum decrease in cPLA2s activity in both type of cells by using commercially available isoform specific PLA2 inhibitor(s). It is well documented that cPLA2s have key regulatory roles in the invasive migration, proliferation, and capillary-like tubule formation of vascular endothelial cells as well as in tumor angiogenesis in lung cancer (mouse models) [42]. Our study is well supported by another recent research in which involvement of cPLA2 has been reported in asthmatic and COPD cases [43]. Moreover, several cPLA2 isoform specific inhibitors are commercially available and are in clinical trials for various inflammatory diseases and has been discussed in the review by Victoria [44]. The results of CSC simulated lung epithelial cell lineage treated with cPLA2 specific inhibitor such as ATK may also support the role of cPLA2 in lung pathologies.\nFurthermore, to find out the role of specific cPLA2, we also characterized the comparative transcriptional level expression of cPLA2s at constitutive level and it was observed that all cPLA2s expressed in human lung epithelial type I (WI26) and type II (A549) cells. In presence of cigarette smoke condensate there was an increase in all cPLA2 groups but most predominantly induced group was PLA2 IVA in two different lineages of cells. In best of our knowledge, we are first group to report maximum expression of PLA2 IVA among all cPLA2s. The involvement of PLA2 IVA is already documented in several diseases and it has been used as a target molecule [45]. In this context, targeting group IVA may built-up new prospects in CSC-induced lung pathologies.\nCSC-induced difference in the expression level of cPLA2s seems to play crucial role during lung pathologies. In this prospective, we also observed that CSC-induced cPLA2s expression and ROS levels were comparatively higher in A549 cells when compared to WI26 cells. Our finding clearly advocates that CSC-induced expression level of cPLA2 group’s seemed to be dependent on ROS levels generated. Our observation is supported by another study which suggested that cigarette smoke activates cPLA2expression through NADPH oxidase/ROS in human tracheal smooth muscle cells [8].\nThe role of specific cPLA2s in cigarette smoking induced lung pathologies remains elusive due to combine effect of cigarette smoke constituents, smaller to larger extent expression of all isoforms and distinct functions attributable to each isoform. Still PLA2 IVA had maximum expression in both lineages and can be of maximum interest in CSC induced inflammatory diseases. Now a days combine strategies are required to deal with such inflammatory situations. Firstly, dietary intake of biological molecules which are rich source of antioxidants and have anti-inflammatory effects [46]. Secondly, along with healthy diet use of cPLA2s specific analogs especially for PLA2 IVA may be a novel effective therapy in cigarette smoke related lung pathologies.", "In conclusion, it is worth mentioning; here the present study indicates involvement of specific cPLA2 IVA as a potential biomolecule candidate during cigarette smoke induced oxidative stress in type I and type II alveolar epithelial cells and strategies to target them may be key approach in cigarette smoke induced lung pathologies." ]
[ "introduction", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Cigarette smoke condensate", "Cytosolic phospholipases A2", "Reactive oxygen species", "Inflammation", "A549 cells", "WI26 cells" ]
Background: Cigarette smoking is leading cause of deaths and projected to cause 8–10 million deaths per year worldwide [1]. It is associated with different types of lung cancer and approximately one third of all cancer death [1–3]. Currently more than 370 billion cigarettes are being consumed by smokers globally and it has been projected that more than 30 % of the people will be smokers by 2030 [2]. On the other hand it has been expected that rate of smoking will be reached 70 % in developing countries [1]. It has been documented that single puff of cigarette smoke contains 1017 oxidant molecules out of which 1015 are reactive oxygen species/ reactive nitrogen species. Moreover, these ROS/RNS are known to be one of the causative factors in various lung pathologies including cancer and chronic obstructive pulmonary disease (COPD) [4–6]. During cigarette smoking, the most affected and highly exposed cells are the alveolar epithelium which is lined by type-I (~90–95 %) and type-II (~5–10 %) epithelial cells. In addition, damage and death of epithelial cells induced by cigarette smoke exposure can mostly be accounted for by an increased in oxidant stress. Enhanced levels of free radicals/oxidants leads to oxidative stress and initation of repair processes whether started as part of an inflammatory response or as a response to injury is still not clear in cigarette smokers. In this context, one of the hallmark enzymes are Phospholipase A2s which are responsible for membranes remodeling [7–9] but in the case of cigarette smokers mechanistically study is not yet fully defined. PLA2s are lipolytic enzymes that catalyze the hydrolysis of acyl-groups at the sn-2 position of glycerophospholipids and produce free fatty acids and lyso-Phospholipids by an interfacial activation catalytic mechanism. To date, at least 26 genes that encode various types of PLA2 proteins with esterase’s activity have been identified in human and are assigned to five different groups. (i) Secretory PLA2s with molecular weight of 14 kDa, (ii) the 85 kDa cytosolic PLA2s, (iii) Ca2+ independent PLA2s (iv) Platelet-activating factor acetyl hydrolase and (v) lysosomal PLA2s. These PLA2s were differentiated on the basis of their sequence, molecular weight, disulfide bonding patterns, requirement for Ca2+ to their biochemical characteristics and localization [10–13]. It has been suggested that PLA2 isoforms are involved either in the promotion or in the resolution of inflammation depending upon cell type and generation of eicosanoid [14–16]. In this context cytosolic phospholipase A2s (cPLA2s) are the main enzymes mediating arachidonic acid release and pro-inflammatory eicosanoids production. Moreover these biomolecules are associated with chronic inflammation which is a recognized risk factor for carcinogenesis [17–19]. The overall aim of this study was to investigate the involvement of particular cPLA2 which could be proposed as future therapeutic target during cigarette smoke induced pathologies in alveolar epithelium and results are reported in present paper. Methods: Materials WI26 (type-I) lung epithelial cell line was procured from American type culture collection (ATCC), Rockville, MD (USA), (ATCC® CCL-95.1™, https://www.atcc.org/Products/All/CCL-95.1.aspx). A549 (type-II) lung epithelial cell line was procured from National centre for cell science (NCCS), pune, India (http://www.nccs.res.in/CR5.html). PLA2-inhibitors bromoenol lactone (BEL), arachidonyl trifluroethyl ketone (ATK), bromophenacyl bromide (BPB), DCFH-DA, FDA and other general reagents were purchased from Sigma (St. Louis, MO, U.S.A.). PLA2-inhibitor YM26734 was purchased from Tocris bioscience, Bristol, UK. WI26 (type-I) lung epithelial cell line was procured from American type culture collection (ATCC), Rockville, MD (USA), (ATCC® CCL-95.1™, https://www.atcc.org/Products/All/CCL-95.1.aspx). A549 (type-II) lung epithelial cell line was procured from National centre for cell science (NCCS), pune, India (http://www.nccs.res.in/CR5.html). PLA2-inhibitors bromoenol lactone (BEL), arachidonyl trifluroethyl ketone (ATK), bromophenacyl bromide (BPB), DCFH-DA, FDA and other general reagents were purchased from Sigma (St. Louis, MO, U.S.A.). PLA2-inhibitor YM26734 was purchased from Tocris bioscience, Bristol, UK. Methods Cell culturing Human lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1). Human lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1). Cell culturing Human lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1). Human lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1). Cigarette smoke condensate preparation Cigarette smoke condensate was prepared in our own laboratory according to standardized method of Kaushik 2009 [20], from most commonly used cigarettes (Gold Flake with filter) by the Indian population [21]. In brief smoke from a burning cigarette was sucked into a flask containing acetone with the help of a vacuum pump. Three ways connecting glass joint was used for suction. The rate of airflow was regulated by a valve so that cigarette burns upto bud in approximately 6 min. Acetone was evaporated under vacuum/nitrogen gas and the residue i.e. CSC was used for the experiments. CSC was dissolved in DMSO, in such a way that the final concentration of DMSO in plates did not exceed 0.025 % in culture medium. Further, dilution of CSC stocks was done with sterile PBS. Cigarette smoke condensate was prepared in our own laboratory according to standardized method of Kaushik 2009 [20], from most commonly used cigarettes (Gold Flake with filter) by the Indian population [21]. In brief smoke from a burning cigarette was sucked into a flask containing acetone with the help of a vacuum pump. Three ways connecting glass joint was used for suction. The rate of airflow was regulated by a valve so that cigarette burns upto bud in approximately 6 min. Acetone was evaporated under vacuum/nitrogen gas and the residue i.e. CSC was used for the experiments. CSC was dissolved in DMSO, in such a way that the final concentration of DMSO in plates did not exceed 0.025 % in culture medium. Further, dilution of CSC stocks was done with sterile PBS. Cell viability assay Effect of CSC on cell viability was evaluated by the 3-(4,5- dimethylthiazol-2-yl)-diphenyltetrazolium bromide (MTT) dye uptake method [22]. Briefly, 2 x 103cells were seeded in 96-well plates and allowed to grow overnight. After 24 h of priming, cells were treated with different concentrations of CSC for 24 h. Before treatment; medium was replaced with fresh medium. Four h before the end of desired time interval, 20 μl of MTT solution (2.5 mg/ml) was added to each well. After 4 h, resulting formazan crystals were dissolved in 40 μl of lysis buffer. The developed color was read at 540 nm on ELISA reader. The relative viability was calculated as described earlier. Effect of CSC on cell viability was evaluated by the 3-(4,5- dimethylthiazol-2-yl)-diphenyltetrazolium bromide (MTT) dye uptake method [22]. Briefly, 2 x 103cells were seeded in 96-well plates and allowed to grow overnight. After 24 h of priming, cells were treated with different concentrations of CSC for 24 h. Before treatment; medium was replaced with fresh medium. Four h before the end of desired time interval, 20 μl of MTT solution (2.5 mg/ml) was added to each well. After 4 h, resulting formazan crystals were dissolved in 40 μl of lysis buffer. The developed color was read at 540 nm on ELISA reader. The relative viability was calculated as described earlier. Reactive oxygen species Levels of intracellular ROS were measured by the shift in fluorescent intensity resulting from oxidation of DCFH-DA fluorescence dye by the method of Wan et al. [23]. In brief, cells (0.5 x 105 cells/well) were seeded into 12 well culture plates and allowed to grow overnight. Cells were challenged with CSC for 24 h. Before completion of treatment, cells were incubated with 5 μM DCFH-DA fluorescence dye for 30 min. After completion of treatment, cells were washed, harvested and re-suspended in ice-chilled PBS and analyzed by flow cytometery (FACScan) and shift in fluorescent peak was represented in terms of mean fluorescent intensity (MFI). Levels of intracellular ROS were measured by the shift in fluorescent intensity resulting from oxidation of DCFH-DA fluorescence dye by the method of Wan et al. [23]. In brief, cells (0.5 x 105 cells/well) were seeded into 12 well culture plates and allowed to grow overnight. Cells were challenged with CSC for 24 h. Before completion of treatment, cells were incubated with 5 μM DCFH-DA fluorescence dye for 30 min. After completion of treatment, cells were washed, harvested and re-suspended in ice-chilled PBS and analyzed by flow cytometery (FACScan) and shift in fluorescent peak was represented in terms of mean fluorescent intensity (MFI). Cellular integrity by FDA uptake Cellular injury was determined by the FDA and ethidium bromide staining method [24]. FDA is an indicator of membrane integrity and cytoplasmic esterase activity. So the cells with intact membranes fluoresce green and cells with damaged membranes fluoresce red. Cells after CSC treatment was incubated with 10 μM FDA and 25 μM of ethidium bromide and was visualized under fluorescent microscope. Cellular injury was determined by the FDA and ethidium bromide staining method [24]. FDA is an indicator of membrane integrity and cytoplasmic esterase activity. So the cells with intact membranes fluoresce green and cells with damaged membranes fluoresce red. Cells after CSC treatment was incubated with 10 μM FDA and 25 μM of ethidium bromide and was visualized under fluorescent microscope. Superoxide dismutase activity Superoxide dismutase activity was estimated as described earlier [25]. In brief 2 x 106 cells were plated in 100 mm2 culture dishes and allowed to grow for 24 h. After 24 h of CSC treatment, cells were washed, harvested and centrifuged at 200 x g for 10 min at 40C. Cell pellet was washed with ice-chilled PBS and resuspended in PBS. Cells were lysed by the three freeze-thaw cycles followed by sonication (Sonicator Q700, Qsonica) for 5 min in ice-chilled water. After centrifugation at 800 x g for 10 min at 4 °C, the supernatant was assayed for SOD. Superoxide dismutase activity was estimated as described earlier [25]. In brief 2 x 106 cells were plated in 100 mm2 culture dishes and allowed to grow for 24 h. After 24 h of CSC treatment, cells were washed, harvested and centrifuged at 200 x g for 10 min at 40C. Cell pellet was washed with ice-chilled PBS and resuspended in PBS. Cells were lysed by the three freeze-thaw cycles followed by sonication (Sonicator Q700, Qsonica) for 5 min in ice-chilled water. After centrifugation at 800 x g for 10 min at 4 °C, the supernatant was assayed for SOD. PLA2 assay The effect of CSC on the PLA2 activity was measured in the presence/absence of PLA2-inhibitors by the modified method of price [26]. In brief, samples were freshly diluted in 2 mM HEPES at pH 7.5 and 20 μl of each sample mixture, or buffer mixture as negative control was put in the well of a round bottom 96 well micro plate. 180 μL of an assay mixture at pH 7.5 at 37 °C was added to each sample. The plate was immediately read at 600 nm at one minute intervals for five minutes. Immediately after addition of substrate, the blue color of dye turns yellow with pH change due to PLA2 activity and absorbance decreases. The effect of CSC on the PLA2 activity was measured in the presence/absence of PLA2-inhibitors by the modified method of price [26]. In brief, samples were freshly diluted in 2 mM HEPES at pH 7.5 and 20 μl of each sample mixture, or buffer mixture as negative control was put in the well of a round bottom 96 well micro plate. 180 μL of an assay mixture at pH 7.5 at 37 °C was added to each sample. The plate was immediately read at 600 nm at one minute intervals for five minutes. Immediately after addition of substrate, the blue color of dye turns yellow with pH change due to PLA2 activity and absorbance decreases. Reverse transcription-polymerase chain reaction (RT-PCR) After treatment total RNA from both type of epithelial cells was isolated using the method of Chomcznski et al [27]. Analysis of mRNA levels of cPLA2 groups IVA, IVB and IVC was done by RT-PCR. In PCR reactions (25 μl) 100 ng cDNA was used as template DNA. The primer sequences for the expression of all the genes were taken from previously published literature [28]. The primer sequences used for this study are given in (Additional file 1: Table S1). After treatment total RNA from both type of epithelial cells was isolated using the method of Chomcznski et al [27]. Analysis of mRNA levels of cPLA2 groups IVA, IVB and IVC was done by RT-PCR. In PCR reactions (25 μl) 100 ng cDNA was used as template DNA. The primer sequences for the expression of all the genes were taken from previously published literature [28]. The primer sequences used for this study are given in (Additional file 1: Table S1). Protein estimation Protein content of cell lysate was measured in all samples by Bradford method [29]. Bovine Serum Albumin (BSA) was used as a protein standard. Protein content of cell lysate was measured in all samples by Bradford method [29]. Bovine Serum Albumin (BSA) was used as a protein standard. Statistical analysis Values displayed in the results are mean ± standard deviation of at least three independent experiments carried out in triplicate. P < 0.05 was considered to be statically significant. One way analysis of variance (ANOVA) and t test were employed using SPSS software to govern statistical significance of the results. Values displayed in the results are mean ± standard deviation of at least three independent experiments carried out in triplicate. P < 0.05 was considered to be statically significant. One way analysis of variance (ANOVA) and t test were employed using SPSS software to govern statistical significance of the results. Materials: WI26 (type-I) lung epithelial cell line was procured from American type culture collection (ATCC), Rockville, MD (USA), (ATCC® CCL-95.1™, https://www.atcc.org/Products/All/CCL-95.1.aspx). A549 (type-II) lung epithelial cell line was procured from National centre for cell science (NCCS), pune, India (http://www.nccs.res.in/CR5.html). PLA2-inhibitors bromoenol lactone (BEL), arachidonyl trifluroethyl ketone (ATK), bromophenacyl bromide (BPB), DCFH-DA, FDA and other general reagents were purchased from Sigma (St. Louis, MO, U.S.A.). PLA2-inhibitor YM26734 was purchased from Tocris bioscience, Bristol, UK. Methods: Cell culturing Human lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1). Human lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1). Cell culturing: Human lung epithelial type I (WI26) and type II (A549) cells were maintained in continuous culture at 37 °C temperature and 5 % CO2 in RPMI-1640 medium with 10 % fetal bovine serum (FBS). After every 48 h, depleted medium from the culture flask was replaced with fresh medium. Experimental design is represented as schematic view (Additional file 1: Figure S1). Cigarette smoke condensate preparation: Cigarette smoke condensate was prepared in our own laboratory according to standardized method of Kaushik 2009 [20], from most commonly used cigarettes (Gold Flake with filter) by the Indian population [21]. In brief smoke from a burning cigarette was sucked into a flask containing acetone with the help of a vacuum pump. Three ways connecting glass joint was used for suction. The rate of airflow was regulated by a valve so that cigarette burns upto bud in approximately 6 min. Acetone was evaporated under vacuum/nitrogen gas and the residue i.e. CSC was used for the experiments. CSC was dissolved in DMSO, in such a way that the final concentration of DMSO in plates did not exceed 0.025 % in culture medium. Further, dilution of CSC stocks was done with sterile PBS. Cell viability assay: Effect of CSC on cell viability was evaluated by the 3-(4,5- dimethylthiazol-2-yl)-diphenyltetrazolium bromide (MTT) dye uptake method [22]. Briefly, 2 x 103cells were seeded in 96-well plates and allowed to grow overnight. After 24 h of priming, cells were treated with different concentrations of CSC for 24 h. Before treatment; medium was replaced with fresh medium. Four h before the end of desired time interval, 20 μl of MTT solution (2.5 mg/ml) was added to each well. After 4 h, resulting formazan crystals were dissolved in 40 μl of lysis buffer. The developed color was read at 540 nm on ELISA reader. The relative viability was calculated as described earlier. Reactive oxygen species: Levels of intracellular ROS were measured by the shift in fluorescent intensity resulting from oxidation of DCFH-DA fluorescence dye by the method of Wan et al. [23]. In brief, cells (0.5 x 105 cells/well) were seeded into 12 well culture plates and allowed to grow overnight. Cells were challenged with CSC for 24 h. Before completion of treatment, cells were incubated with 5 μM DCFH-DA fluorescence dye for 30 min. After completion of treatment, cells were washed, harvested and re-suspended in ice-chilled PBS and analyzed by flow cytometery (FACScan) and shift in fluorescent peak was represented in terms of mean fluorescent intensity (MFI). Cellular integrity by FDA uptake: Cellular injury was determined by the FDA and ethidium bromide staining method [24]. FDA is an indicator of membrane integrity and cytoplasmic esterase activity. So the cells with intact membranes fluoresce green and cells with damaged membranes fluoresce red. Cells after CSC treatment was incubated with 10 μM FDA and 25 μM of ethidium bromide and was visualized under fluorescent microscope. Superoxide dismutase activity: Superoxide dismutase activity was estimated as described earlier [25]. In brief 2 x 106 cells were plated in 100 mm2 culture dishes and allowed to grow for 24 h. After 24 h of CSC treatment, cells were washed, harvested and centrifuged at 200 x g for 10 min at 40C. Cell pellet was washed with ice-chilled PBS and resuspended in PBS. Cells were lysed by the three freeze-thaw cycles followed by sonication (Sonicator Q700, Qsonica) for 5 min in ice-chilled water. After centrifugation at 800 x g for 10 min at 4 °C, the supernatant was assayed for SOD. PLA2 assay: The effect of CSC on the PLA2 activity was measured in the presence/absence of PLA2-inhibitors by the modified method of price [26]. In brief, samples were freshly diluted in 2 mM HEPES at pH 7.5 and 20 μl of each sample mixture, or buffer mixture as negative control was put in the well of a round bottom 96 well micro plate. 180 μL of an assay mixture at pH 7.5 at 37 °C was added to each sample. The plate was immediately read at 600 nm at one minute intervals for five minutes. Immediately after addition of substrate, the blue color of dye turns yellow with pH change due to PLA2 activity and absorbance decreases. Reverse transcription-polymerase chain reaction (RT-PCR): After treatment total RNA from both type of epithelial cells was isolated using the method of Chomcznski et al [27]. Analysis of mRNA levels of cPLA2 groups IVA, IVB and IVC was done by RT-PCR. In PCR reactions (25 μl) 100 ng cDNA was used as template DNA. The primer sequences for the expression of all the genes were taken from previously published literature [28]. The primer sequences used for this study are given in (Additional file 1: Table S1). Protein estimation: Protein content of cell lysate was measured in all samples by Bradford method [29]. Bovine Serum Albumin (BSA) was used as a protein standard. Statistical analysis: Values displayed in the results are mean ± standard deviation of at least three independent experiments carried out in triplicate. P < 0.05 was considered to be statically significant. One way analysis of variance (ANOVA) and t test were employed using SPSS software to govern statistical significance of the results. Results: Effect of CSC on cell viability and reactive oxygen species in A549 and WI26 cells In A549 cells, it was found that cell survival decreased with increasing concentration of CSC from 1 μg/ml to 200 μg/ml and found to be 90.8 %, 84.2 %, 78.4 % and 76.4 % at 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively. Whereas in WI26 cells, no significant change was observed in survival rate up to 100 μg/ml concentration of CSC. Moreover, it was observed that at 150 μg/ml and 200 μg/ml concentrations of CSC, survival rate of WI26 cells decreased to 95.7 % and 62.2 % (p < 0.05) respectively (Fig. 1).Fig. 1Effect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#, p < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml Effect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#, p < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml Effects of CSC at various concentrations on ROS formation in the two cell lines are shown in Fig. 2. It was found that in A549 cells, even 1 μg CSC/ml increased the formation of ROS to 3 fold, which was further increased to 3.95 fold, 7.69 fold, 12.1 fold, 14.1 fold and 16.5 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively (Fig. 2a). In contrast to A549 cells, in WI26 cells CSC treatment increased the ROS formation to 1.21 fold, 1.58 fold, 2.26 fold, 2.73 fold and 3.56 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations (Fig. 2b).Fig. 2Effect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. * p < 0.05. *CSC compared with their respective control Effect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. * p < 0.05. *CSC compared with their respective control In A549 cells, it was found that cell survival decreased with increasing concentration of CSC from 1 μg/ml to 200 μg/ml and found to be 90.8 %, 84.2 %, 78.4 % and 76.4 % at 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively. Whereas in WI26 cells, no significant change was observed in survival rate up to 100 μg/ml concentration of CSC. Moreover, it was observed that at 150 μg/ml and 200 μg/ml concentrations of CSC, survival rate of WI26 cells decreased to 95.7 % and 62.2 % (p < 0.05) respectively (Fig. 1).Fig. 1Effect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#, p < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml Effect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#, p < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml Effects of CSC at various concentrations on ROS formation in the two cell lines are shown in Fig. 2. It was found that in A549 cells, even 1 μg CSC/ml increased the formation of ROS to 3 fold, which was further increased to 3.95 fold, 7.69 fold, 12.1 fold, 14.1 fold and 16.5 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively (Fig. 2a). In contrast to A549 cells, in WI26 cells CSC treatment increased the ROS formation to 1.21 fold, 1.58 fold, 2.26 fold, 2.73 fold and 3.56 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations (Fig. 2b).Fig. 2Effect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. * p < 0.05. *CSC compared with their respective control Effect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. * p < 0.05. *CSC compared with their respective control Cells morphology Since the morphology of two types of cells used in the present study were highly affected (Additional file 1: Figure S2) at higher concentrations (150 μg/ml and 200 μg/ml), these concentrations were not used in the next part of the study. Among all other lower concentrations, 50 μg/ml and 100 μg/ml of CSC induced maximum ROS production with optimum cell viability and hence were preferred in most of the other experiments. Time period was selected on the basis of our previous studies and preliminary experiments at different time intervals using ROS measurement and cell survival assay. 24 h time was found to be optimum and was used for current study. Since the morphology of two types of cells used in the present study were highly affected (Additional file 1: Figure S2) at higher concentrations (150 μg/ml and 200 μg/ml), these concentrations were not used in the next part of the study. Among all other lower concentrations, 50 μg/ml and 100 μg/ml of CSC induced maximum ROS production with optimum cell viability and hence were preferred in most of the other experiments. Time period was selected on the basis of our previous studies and preliminary experiments at different time intervals using ROS measurement and cell survival assay. 24 h time was found to be optimum and was used for current study. Effect of CSC on cellular integrity in A549 and WI26 cells FDA uptake assay is an indicator of membrane integrity and cytoplasmic esterase activity. Figure 3 is showing the results of FDA and EtBr uptake in both types of cell lines. There was maximum uptake of FDA with no cellular accumulation of EtBr at control levels in both the cell lines. Accumulation of the fluorescein decreased and uptake of the EtBr increased in a concentration dependent manner in both the cell lines. Result obtained from the assay indicted the membrane integrity was stable at 50 and 100 μg/ml of CSC treatment.Fig. 3Effect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay Effect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay FDA uptake assay is an indicator of membrane integrity and cytoplasmic esterase activity. Figure 3 is showing the results of FDA and EtBr uptake in both types of cell lines. There was maximum uptake of FDA with no cellular accumulation of EtBr at control levels in both the cell lines. Accumulation of the fluorescein decreased and uptake of the EtBr increased in a concentration dependent manner in both the cell lines. Result obtained from the assay indicted the membrane integrity was stable at 50 and 100 μg/ml of CSC treatment.Fig. 3Effect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay Effect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay SOD levels in type I and type II epithelial cells Effect of CSC treatment for 24 h on SOD in A549 and WI26 cells is shown in the Fig. 4. It was found that SOD activity was significantly higher in WI26 cells (0.278 IU/μg protein) as compared to A549 (0.188 IU/μg protein) cells. In the presence of 50 μg/ml of CSC concentration, SOD activity increased significantly in WI26 and A549 cells by 1.68 and 1.49 fold respectively (p < 0.05).Fig. 4SOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α p < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells SOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α p < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells Effect of CSC treatment for 24 h on SOD in A549 and WI26 cells is shown in the Fig. 4. It was found that SOD activity was significantly higher in WI26 cells (0.278 IU/μg protein) as compared to A549 (0.188 IU/μg protein) cells. In the presence of 50 μg/ml of CSC concentration, SOD activity increased significantly in WI26 and A549 cells by 1.68 and 1.49 fold respectively (p < 0.05).Fig. 4SOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α p < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells SOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α p < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells CSC enhanced cPLA2 activity Effect of CSC induced PLA2 activity in presence/absence of PLA2 inhibitors is shown in Fig. 5. Working PLA2inhibitors concentration was decided on the basis of cell viability, ROS and apoptosis experiments in the present study (Data not shown). At basal level we observed very low PLA2 activity in both type of lineages as optical density (OD) decreased at every minute interval from 2.88 to 2.63, 2.44, 2.29 2.11 and 1.95 in A549 cells (Fig. 5a), whereas from 3.13 to 2.95, 2.67, 2.49, 2.2 and 2.01 in WI26 cells. CSC at 50 μg/ml, significantly induced PLA2 activity in both type of cells as OD decreased at every minute interval from 2.57 to 1.5, 0.98, 0.73, 0.59 and 0.52 in A549 cells whereas from 2.80 to 2.17, 1.22, 1.02, 0.88 and 0.75 in WI26 cells (p < 0.05) (Fig. 5b). In presence of cPLA2 specific inhibitor ATK, we observed low CSC-induced PLA2 activity when compared to sPLA2 (YM26734) and iPLA2 (BEL) specific inhibitors in both type of cells. In presence of cPLA2 and sPLA2 + iPLA2 inhibitor, the decrease in OD was from 2.76 to 2.6, 2.41, 2.17, 1.88 and 1.6 (p < 0.05) and from 2.66 to 1.74, 1.17, 0.9, 0.80 and 0.63 respectively in A549 cells; whereas in WI26, OD decreased from 3.04 to 2.71, 2.47, 2.22, 1.93 and 1.70 (p < 0.05) and from 2.81 to 2.27, 1.61, 1.24, 1.02 and 0.94 respectively.Fig. 5PLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval Fig. 6mRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups PLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval mRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups Effect of CSC induced PLA2 activity in presence/absence of PLA2 inhibitors is shown in Fig. 5. Working PLA2inhibitors concentration was decided on the basis of cell viability, ROS and apoptosis experiments in the present study (Data not shown). At basal level we observed very low PLA2 activity in both type of lineages as optical density (OD) decreased at every minute interval from 2.88 to 2.63, 2.44, 2.29 2.11 and 1.95 in A549 cells (Fig. 5a), whereas from 3.13 to 2.95, 2.67, 2.49, 2.2 and 2.01 in WI26 cells. CSC at 50 μg/ml, significantly induced PLA2 activity in both type of cells as OD decreased at every minute interval from 2.57 to 1.5, 0.98, 0.73, 0.59 and 0.52 in A549 cells whereas from 2.80 to 2.17, 1.22, 1.02, 0.88 and 0.75 in WI26 cells (p < 0.05) (Fig. 5b). In presence of cPLA2 specific inhibitor ATK, we observed low CSC-induced PLA2 activity when compared to sPLA2 (YM26734) and iPLA2 (BEL) specific inhibitors in both type of cells. In presence of cPLA2 and sPLA2 + iPLA2 inhibitor, the decrease in OD was from 2.76 to 2.6, 2.41, 2.17, 1.88 and 1.6 (p < 0.05) and from 2.66 to 1.74, 1.17, 0.9, 0.80 and 0.63 respectively in A549 cells; whereas in WI26, OD decreased from 3.04 to 2.71, 2.47, 2.22, 1.93 and 1.70 (p < 0.05) and from 2.81 to 2.27, 1.61, 1.24, 1.02 and 0.94 respectively.Fig. 5PLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval Fig. 6mRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups PLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval mRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups CSC enhanced cPLA2s mRNA expression Transcriptional modulations of various selected PLA2 groups (IVA, IVB and IVC) were studied at basal level (Fig. 6a) and in presence of CSC as shown in Fig. 6b. Densitometric analysis of all cPLA2 groups was done (Table S2). In A549 cells, mRNA expression of all the cPLA2 groups increased significantly in concentration dependent manner in all CSC treated cells and the most affected group was IVA (3.98 fold) followed by IVC (2.97 fold) and IVB (1.62 fold) (p < 0.05). In WI26 cells also, CSC treatment showed significant increase in mRNA expression of cPLA2 groups in a concentration dependent manner and the most prominently induced PLA2 group was IVA (1.95) followed by IVB (1.31) and IVC (1.98) (p < 0.05). Transcriptional modulations of various selected PLA2 groups (IVA, IVB and IVC) were studied at basal level (Fig. 6a) and in presence of CSC as shown in Fig. 6b. Densitometric analysis of all cPLA2 groups was done (Table S2). In A549 cells, mRNA expression of all the cPLA2 groups increased significantly in concentration dependent manner in all CSC treated cells and the most affected group was IVA (3.98 fold) followed by IVC (2.97 fold) and IVB (1.62 fold) (p < 0.05). In WI26 cells also, CSC treatment showed significant increase in mRNA expression of cPLA2 groups in a concentration dependent manner and the most prominently induced PLA2 group was IVA (1.95) followed by IVB (1.31) and IVC (1.98) (p < 0.05). Effect of CSC on cell viability and reactive oxygen species in A549 and WI26 cells: In A549 cells, it was found that cell survival decreased with increasing concentration of CSC from 1 μg/ml to 200 μg/ml and found to be 90.8 %, 84.2 %, 78.4 % and 76.4 % at 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively. Whereas in WI26 cells, no significant change was observed in survival rate up to 100 μg/ml concentration of CSC. Moreover, it was observed that at 150 μg/ml and 200 μg/ml concentrations of CSC, survival rate of WI26 cells decreased to 95.7 % and 62.2 % (p < 0.05) respectively (Fig. 1).Fig. 1Effect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#, p < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml Effect of CSC treatment on cell viability (MTT assay) in A-549 and WI-26 cells. Both cell lines were treated with different concentrations of CSC for 24 h. The results are expressed as mean ± SD of three different experiments. *,#, p < 0.05. *CSC compared with A549 control. #CSC compared with WI26 control. Concentrations of CSC were in μg/ml Effects of CSC at various concentrations on ROS formation in the two cell lines are shown in Fig. 2. It was found that in A549 cells, even 1 μg CSC/ml increased the formation of ROS to 3 fold, which was further increased to 3.95 fold, 7.69 fold, 12.1 fold, 14.1 fold and 16.5 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations respectively (Fig. 2a). In contrast to A549 cells, in WI26 cells CSC treatment increased the ROS formation to 1.21 fold, 1.58 fold, 2.26 fold, 2.73 fold and 3.56 fold at 10 μg/ml, 50 μg/ml, 100 μg/ml, 150 μg/ml and 200 μg/ml concentrations (Fig. 2b).Fig. 2Effect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. * p < 0.05. *CSC compared with their respective control Effect of CSC treatment at different concentrations on ROS production in lung epithelial type II (A-549) cells (a) and lung epithelial type I (WI-26) cells (b), assayed by DCHF-DA fluorescent dye. The results are expressed as mean ± SD of three separate experiments. * p < 0.05. *CSC compared with their respective control Cells morphology: Since the morphology of two types of cells used in the present study were highly affected (Additional file 1: Figure S2) at higher concentrations (150 μg/ml and 200 μg/ml), these concentrations were not used in the next part of the study. Among all other lower concentrations, 50 μg/ml and 100 μg/ml of CSC induced maximum ROS production with optimum cell viability and hence were preferred in most of the other experiments. Time period was selected on the basis of our previous studies and preliminary experiments at different time intervals using ROS measurement and cell survival assay. 24 h time was found to be optimum and was used for current study. Effect of CSC on cellular integrity in A549 and WI26 cells: FDA uptake assay is an indicator of membrane integrity and cytoplasmic esterase activity. Figure 3 is showing the results of FDA and EtBr uptake in both types of cell lines. There was maximum uptake of FDA with no cellular accumulation of EtBr at control levels in both the cell lines. Accumulation of the fluorescein decreased and uptake of the EtBr increased in a concentration dependent manner in both the cell lines. Result obtained from the assay indicted the membrane integrity was stable at 50 and 100 μg/ml of CSC treatment.Fig. 3Effect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay Effect of CSC on cellular integrity in A-549 and WI-26 cells using FDA and EtBr uptake assay SOD levels in type I and type II epithelial cells: Effect of CSC treatment for 24 h on SOD in A549 and WI26 cells is shown in the Fig. 4. It was found that SOD activity was significantly higher in WI26 cells (0.278 IU/μg protein) as compared to A549 (0.188 IU/μg protein) cells. In the presence of 50 μg/ml of CSC concentration, SOD activity increased significantly in WI26 and A549 cells by 1.68 and 1.49 fold respectively (p < 0.05).Fig. 4SOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α p < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells SOD activity after 50 μg/ml of CSC concentration at 24 h of treatment in A549 and WI26 cells. The results are expressed as mean ± SD of three separate experiments. *,#,α p < 0.05. *CSC compared with their respective control, #A549 control compared with WI26 control and αcompared with CSC threated WI26 cells CSC enhanced cPLA2 activity: Effect of CSC induced PLA2 activity in presence/absence of PLA2 inhibitors is shown in Fig. 5. Working PLA2inhibitors concentration was decided on the basis of cell viability, ROS and apoptosis experiments in the present study (Data not shown). At basal level we observed very low PLA2 activity in both type of lineages as optical density (OD) decreased at every minute interval from 2.88 to 2.63, 2.44, 2.29 2.11 and 1.95 in A549 cells (Fig. 5a), whereas from 3.13 to 2.95, 2.67, 2.49, 2.2 and 2.01 in WI26 cells. CSC at 50 μg/ml, significantly induced PLA2 activity in both type of cells as OD decreased at every minute interval from 2.57 to 1.5, 0.98, 0.73, 0.59 and 0.52 in A549 cells whereas from 2.80 to 2.17, 1.22, 1.02, 0.88 and 0.75 in WI26 cells (p < 0.05) (Fig. 5b). In presence of cPLA2 specific inhibitor ATK, we observed low CSC-induced PLA2 activity when compared to sPLA2 (YM26734) and iPLA2 (BEL) specific inhibitors in both type of cells. In presence of cPLA2 and sPLA2 + iPLA2 inhibitor, the decrease in OD was from 2.76 to 2.6, 2.41, 2.17, 1.88 and 1.6 (p < 0.05) and from 2.66 to 1.74, 1.17, 0.9, 0.80 and 0.63 respectively in A549 cells; whereas in WI26, OD decreased from 3.04 to 2.71, 2.47, 2.22, 1.93 and 1.70 (p < 0.05) and from 2.81 to 2.27, 1.61, 1.24, 1.02 and 0.94 respectively.Fig. 5PLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval Fig. 6mRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups PLA2 activity at 50 μg/ml of CSC concentration alone or in combinations with PLA2 isoforms specific inhibitors at 24 h of treatment time in A549 cells (a) and WI26 cells (b). The decrease in absorbance is directly proportional to PLA2 activity. The results are expressed as mean ± SD of three separate experiments. *,#p < 0.05. *CSC 50 μg/ml activity response compared with their respective control at every minutes interval. #CSC 50 μg/ml in combination with cPLA2 specific inhibitor (ATK) activity response compared with their respective CSC 50 μg/ml alone at every minutes interval mRNA expression of different cPLA2 groups at constitutive level (a) and in presence of different concentrations of CSC (b) in A549 and WI26 cells. β-actin was used as an internal control for normalization of mRNA levels of cPLA2 groups CSC enhanced cPLA2s mRNA expression: Transcriptional modulations of various selected PLA2 groups (IVA, IVB and IVC) were studied at basal level (Fig. 6a) and in presence of CSC as shown in Fig. 6b. Densitometric analysis of all cPLA2 groups was done (Table S2). In A549 cells, mRNA expression of all the cPLA2 groups increased significantly in concentration dependent manner in all CSC treated cells and the most affected group was IVA (3.98 fold) followed by IVC (2.97 fold) and IVB (1.62 fold) (p < 0.05). In WI26 cells also, CSC treatment showed significant increase in mRNA expression of cPLA2 groups in a concentration dependent manner and the most prominently induced PLA2 group was IVA (1.95) followed by IVB (1.31) and IVC (1.98) (p < 0.05). Discussion: The lung is the only organ in the entire human architecture which has the greatest exposure to atmospheric oxygen and other environmental toxicants such as cigarette smoke [30, 31]. As we all knew that cigarette smoke is a highly complex mixture having more than 5000 chemicals including high concentration of free radicals and many of its components are known to be carcinogens, co-carcinogens and mutagens [5]. Among all type of cigarettes available in the Indian market, one of the most commonly consumed includes Gold Flake (with filter) [21] and same was used in the current study. Cigarette smoke-induced chronic inflammation leads to the destruction of alveolar septae, resulted to the loss of elasticity and surface area for gas exchange, known as emphysema [9] and rapidly induces production of ROS thereby impairing endothelial functions [32]. The mechanisms leading to these changes after exposure of cigarette smoke were not yet completely understood in the two types of alveolar epithelial cells. However increased level of free radicals/oxidants in epithelial cells due to cigarette smoke leads to oxidative stress which is considered to be one of the major factors responsible for cell damage and death [31, 33, 34]. Using two lineages of epithelial cell lines, we showed that exposure of CSC leads to decrease in cell viability, increase in ROS production, loosed membrane integrity and altered morphology in a dose dependent manner at 24 h time period. All these observed parameters are well known hallmarks of inflammation and oxidative stress. Optimum time period and different doses of CSC were already reported by our group’s previously and same has been used in the present study [20]. In the continuation of previous study, we observed that CSC-induced ROS formation was found to be increased in concentration dependent manner in both WI26 (type I) cells as well as in A549 (type II) cells. However, the ROS formation was higher in A549 cells in comparison of WI26 cells. One of the possible reasons of such difference seems to be due to the difference in antioxidant status in two types of cells. To find out the reason behind, we investigated SOD levels in both type of cells and the results obtained from the study clearly indicate that WI26 cells had higher SOD activity in comparison of A549 cells alone and in combination with CSC treatment, its justify difference of ROS level finding among two types of lineages. Our finding shows that type II (A549) cells are comparatively more sensitive than type I (WI26) cells in terms of cell viability, higher ROS production as well as lower SOD levels. Moreover, type-I cells are highly exposed to airway insults and have been described as terminally differentiated cells, suggesting that they are incapable of cell division and cannot change their phenotypic expression. On the other hand, type-II epithelial cells are considered as progenitor cells which proliferate to re-epithelialize the damaged alveolar surfaces and then they transforms into the type-I epithelial cells. In these distinctive circumstances, type-II epithelial cells may be considered to show characteristics of stem cells mechanisms in alveolar repair [35–37] and seems to be very sensitive in contrast to type-I epithelial cells as we observed in the present study. PLA2s are the important molecules involved in the remodeling of the membrane lipids and also in modulation of cell signaling which contributes to either the promotion or the resolution of inflammation during various lung pathologies [38, 39]. Moreover PLA2 activity in cancer tissues found to be much higher than normal cells [40]. In this direction, we examined the PLA2 activity in both type of lineages. In our observations, we found increased PLA2 activity after exposure of CSC. Our results are in correlation with another recently described study in which increased PLA2 activity has been reported after cigarette smoke exposure [41]. PLA2s have various isoforms but cPLA2s seems to play crucial role in CSC-induced inflammatory conditions. Results obtained from the present study indicated maximum decrease in cPLA2s activity in both type of cells by using commercially available isoform specific PLA2 inhibitor(s). It is well documented that cPLA2s have key regulatory roles in the invasive migration, proliferation, and capillary-like tubule formation of vascular endothelial cells as well as in tumor angiogenesis in lung cancer (mouse models) [42]. Our study is well supported by another recent research in which involvement of cPLA2 has been reported in asthmatic and COPD cases [43]. Moreover, several cPLA2 isoform specific inhibitors are commercially available and are in clinical trials for various inflammatory diseases and has been discussed in the review by Victoria [44]. The results of CSC simulated lung epithelial cell lineage treated with cPLA2 specific inhibitor such as ATK may also support the role of cPLA2 in lung pathologies. Furthermore, to find out the role of specific cPLA2, we also characterized the comparative transcriptional level expression of cPLA2s at constitutive level and it was observed that all cPLA2s expressed in human lung epithelial type I (WI26) and type II (A549) cells. In presence of cigarette smoke condensate there was an increase in all cPLA2 groups but most predominantly induced group was PLA2 IVA in two different lineages of cells. In best of our knowledge, we are first group to report maximum expression of PLA2 IVA among all cPLA2s. The involvement of PLA2 IVA is already documented in several diseases and it has been used as a target molecule [45]. In this context, targeting group IVA may built-up new prospects in CSC-induced lung pathologies. CSC-induced difference in the expression level of cPLA2s seems to play crucial role during lung pathologies. In this prospective, we also observed that CSC-induced cPLA2s expression and ROS levels were comparatively higher in A549 cells when compared to WI26 cells. Our finding clearly advocates that CSC-induced expression level of cPLA2 group’s seemed to be dependent on ROS levels generated. Our observation is supported by another study which suggested that cigarette smoke activates cPLA2expression through NADPH oxidase/ROS in human tracheal smooth muscle cells [8]. The role of specific cPLA2s in cigarette smoking induced lung pathologies remains elusive due to combine effect of cigarette smoke constituents, smaller to larger extent expression of all isoforms and distinct functions attributable to each isoform. Still PLA2 IVA had maximum expression in both lineages and can be of maximum interest in CSC induced inflammatory diseases. Now a days combine strategies are required to deal with such inflammatory situations. Firstly, dietary intake of biological molecules which are rich source of antioxidants and have anti-inflammatory effects [46]. Secondly, along with healthy diet use of cPLA2s specific analogs especially for PLA2 IVA may be a novel effective therapy in cigarette smoke related lung pathologies. Conclusion: In conclusion, it is worth mentioning; here the present study indicates involvement of specific cPLA2 IVA as a potential biomolecule candidate during cigarette smoke induced oxidative stress in type I and type II alveolar epithelial cells and strategies to target them may be key approach in cigarette smoke induced lung pathologies.
Background: Smoking is one of the leading causes of millions of deaths worldwide. During cigarette smoking, most affected and highly exposed cells are the alveolar epithelium and generated oxidative stress in these cells leads to death and damage. Several studies suggested that oxidative stress causes membrane remodeling via Phospholipase A2s but in the case of cigarette smokers, mechanistically study is not yet fully defined. In view of present perspective, we evaluated the involvement of cytosolic phospholipase A2 (cPLA2) IVA as therapeutic target in cigarette smoke induced pathologies in transformed type I and type II alveolar epithelial cells. Methods: Transformed type I (WI26) and type II (A549) alveolar epithelial cells were used for the present study. Cigarette smoke condensate (CSC) was prepared from most commonly used cigarette (Gold Flake with filter) by the Indian population. CSC-induced molecular changes were evaluated through cell viability using MTT assay, reactive oxygen species (ROS) measurement using 2,7 dichlorodihydrofluorescin diacetate (DCFH-DA), cell membrane integrity using fluorescein diacetate (FDA) and ethidium bromide (EtBr) staining, super oxide dismutase (SOD) levels, cPLA2 activity and molecular involvement of specific cPLA2s at selected 24 h time period. Results: CSC-induced response on both type of epithelial cells shown significantly reduction in cell viability, declined membrane integrity, with differential escalation of ROS levels in the range of 1.5-15 folds and pointedly increased cPLA2 activity (p < 0.05). Likewise, we observed distinction antioxidant potential in these two types of lineages as type I cells had considerably higher SOD levels when compared to type II cells (p < 0.05). Further molecular expression of all cPLA2s increased significantly in a dose dependent manner, specifically cytosolic phospholipase A2 IVA with maximum manifestation of 3.8 folds. Interestingly, CSC-induced ROS levels and cPLA2s expression were relatively higher in A549 cells as compared to WI26 cells. Conclusions: The present study indicates that among all cPLA2s, specific cPLA2 IVA are the main enzymes involved in cigarette smoke induced anomalies in type I and type II lung epithelial cells and targeting them holds tremendous possibilities in cigarette smoke induced lung pathologies.
Background: Cigarette smoking is leading cause of deaths and projected to cause 8–10 million deaths per year worldwide [1]. It is associated with different types of lung cancer and approximately one third of all cancer death [1–3]. Currently more than 370 billion cigarettes are being consumed by smokers globally and it has been projected that more than 30 % of the people will be smokers by 2030 [2]. On the other hand it has been expected that rate of smoking will be reached 70 % in developing countries [1]. It has been documented that single puff of cigarette smoke contains 1017 oxidant molecules out of which 1015 are reactive oxygen species/ reactive nitrogen species. Moreover, these ROS/RNS are known to be one of the causative factors in various lung pathologies including cancer and chronic obstructive pulmonary disease (COPD) [4–6]. During cigarette smoking, the most affected and highly exposed cells are the alveolar epithelium which is lined by type-I (~90–95 %) and type-II (~5–10 %) epithelial cells. In addition, damage and death of epithelial cells induced by cigarette smoke exposure can mostly be accounted for by an increased in oxidant stress. Enhanced levels of free radicals/oxidants leads to oxidative stress and initation of repair processes whether started as part of an inflammatory response or as a response to injury is still not clear in cigarette smokers. In this context, one of the hallmark enzymes are Phospholipase A2s which are responsible for membranes remodeling [7–9] but in the case of cigarette smokers mechanistically study is not yet fully defined. PLA2s are lipolytic enzymes that catalyze the hydrolysis of acyl-groups at the sn-2 position of glycerophospholipids and produce free fatty acids and lyso-Phospholipids by an interfacial activation catalytic mechanism. To date, at least 26 genes that encode various types of PLA2 proteins with esterase’s activity have been identified in human and are assigned to five different groups. (i) Secretory PLA2s with molecular weight of 14 kDa, (ii) the 85 kDa cytosolic PLA2s, (iii) Ca2+ independent PLA2s (iv) Platelet-activating factor acetyl hydrolase and (v) lysosomal PLA2s. These PLA2s were differentiated on the basis of their sequence, molecular weight, disulfide bonding patterns, requirement for Ca2+ to their biochemical characteristics and localization [10–13]. It has been suggested that PLA2 isoforms are involved either in the promotion or in the resolution of inflammation depending upon cell type and generation of eicosanoid [14–16]. In this context cytosolic phospholipase A2s (cPLA2s) are the main enzymes mediating arachidonic acid release and pro-inflammatory eicosanoids production. Moreover these biomolecules are associated with chronic inflammation which is a recognized risk factor for carcinogenesis [17–19]. The overall aim of this study was to investigate the involvement of particular cPLA2 which could be proposed as future therapeutic target during cigarette smoke induced pathologies in alveolar epithelium and results are reported in present paper. Conclusion: In conclusion, it is worth mentioning; here the present study indicates involvement of specific cPLA2 IVA as a potential biomolecule candidate during cigarette smoke induced oxidative stress in type I and type II alveolar epithelial cells and strategies to target them may be key approach in cigarette smoke induced lung pathologies.
Background: Smoking is one of the leading causes of millions of deaths worldwide. During cigarette smoking, most affected and highly exposed cells are the alveolar epithelium and generated oxidative stress in these cells leads to death and damage. Several studies suggested that oxidative stress causes membrane remodeling via Phospholipase A2s but in the case of cigarette smokers, mechanistically study is not yet fully defined. In view of present perspective, we evaluated the involvement of cytosolic phospholipase A2 (cPLA2) IVA as therapeutic target in cigarette smoke induced pathologies in transformed type I and type II alveolar epithelial cells. Methods: Transformed type I (WI26) and type II (A549) alveolar epithelial cells were used for the present study. Cigarette smoke condensate (CSC) was prepared from most commonly used cigarette (Gold Flake with filter) by the Indian population. CSC-induced molecular changes were evaluated through cell viability using MTT assay, reactive oxygen species (ROS) measurement using 2,7 dichlorodihydrofluorescin diacetate (DCFH-DA), cell membrane integrity using fluorescein diacetate (FDA) and ethidium bromide (EtBr) staining, super oxide dismutase (SOD) levels, cPLA2 activity and molecular involvement of specific cPLA2s at selected 24 h time period. Results: CSC-induced response on both type of epithelial cells shown significantly reduction in cell viability, declined membrane integrity, with differential escalation of ROS levels in the range of 1.5-15 folds and pointedly increased cPLA2 activity (p < 0.05). Likewise, we observed distinction antioxidant potential in these two types of lineages as type I cells had considerably higher SOD levels when compared to type II cells (p < 0.05). Further molecular expression of all cPLA2s increased significantly in a dose dependent manner, specifically cytosolic phospholipase A2 IVA with maximum manifestation of 3.8 folds. Interestingly, CSC-induced ROS levels and cPLA2s expression were relatively higher in A549 cells as compared to WI26 cells. Conclusions: The present study indicates that among all cPLA2s, specific cPLA2 IVA are the main enzymes involved in cigarette smoke induced anomalies in type I and type II lung epithelial cells and targeting them holds tremendous possibilities in cigarette smoke induced lung pathologies.
11,856
414
[ 2530, 124, 163, 79, 151, 141, 133, 69, 125, 137, 99, 30, 59, 4005, 626, 134, 136, 238, 679, 157, 1274, 54 ]
23
[ "cells", "csc", "μg", "ml", "μg ml", "wi26", "a549", "activity", "type", "cell" ]
[ "current study cigarette", "cigarette smoke exposure", "cigarette smoke constituents", "oxidants epithelial", "oxidants epithelial cells" ]
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null
[CONTENT] Cigarette smoke condensate | Cytosolic phospholipases A2 | Reactive oxygen species | Inflammation | A549 cells | WI26 cells [SUMMARY]
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[CONTENT] Cigarette smoke condensate | Cytosolic phospholipases A2 | Reactive oxygen species | Inflammation | A549 cells | WI26 cells [SUMMARY]
[CONTENT] Cigarette smoke condensate | Cytosolic phospholipases A2 | Reactive oxygen species | Inflammation | A549 cells | WI26 cells [SUMMARY]
[CONTENT] Cigarette smoke condensate | Cytosolic phospholipases A2 | Reactive oxygen species | Inflammation | A549 cells | WI26 cells [SUMMARY]
[CONTENT] A549 Cells | Cell Line | Cytosol | Epithelial Cells | Humans | Lung Diseases | Phospholipases A2 | Pulmonary Alveoli | Reactive Oxygen Species | Smoke | Tobacco [SUMMARY]
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[CONTENT] A549 Cells | Cell Line | Cytosol | Epithelial Cells | Humans | Lung Diseases | Phospholipases A2 | Pulmonary Alveoli | Reactive Oxygen Species | Smoke | Tobacco [SUMMARY]
[CONTENT] A549 Cells | Cell Line | Cytosol | Epithelial Cells | Humans | Lung Diseases | Phospholipases A2 | Pulmonary Alveoli | Reactive Oxygen Species | Smoke | Tobacco [SUMMARY]
[CONTENT] A549 Cells | Cell Line | Cytosol | Epithelial Cells | Humans | Lung Diseases | Phospholipases A2 | Pulmonary Alveoli | Reactive Oxygen Species | Smoke | Tobacco [SUMMARY]
[CONTENT] current study cigarette | cigarette smoke exposure | cigarette smoke constituents | oxidants epithelial | oxidants epithelial cells [SUMMARY]
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[CONTENT] current study cigarette | cigarette smoke exposure | cigarette smoke constituents | oxidants epithelial | oxidants epithelial cells [SUMMARY]
[CONTENT] current study cigarette | cigarette smoke exposure | cigarette smoke constituents | oxidants epithelial | oxidants epithelial cells [SUMMARY]
[CONTENT] current study cigarette | cigarette smoke exposure | cigarette smoke constituents | oxidants epithelial | oxidants epithelial cells [SUMMARY]
[CONTENT] cells | csc | μg | ml | μg ml | wi26 | a549 | activity | type | cell [SUMMARY]
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[CONTENT] cells | csc | μg | ml | μg ml | wi26 | a549 | activity | type | cell [SUMMARY]
[CONTENT] cells | csc | μg | ml | μg ml | wi26 | a549 | activity | type | cell [SUMMARY]
[CONTENT] cells | csc | μg | ml | μg ml | wi26 | a549 | activity | type | cell [SUMMARY]
[CONTENT] pla2s | cigarette | smokers | enzymes | smoking | cancer | cigarette smoke | smoke | kda | epithelium [SUMMARY]
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[CONTENT] smoke induced | cigarette smoke induced | cigarette | smoke | cigarette smoke | induced | potential | stress type type | stress type type ii | oxidative stress type type [SUMMARY]
[CONTENT] cells | csc | μg | μg ml | ml | type | wi26 | medium | pla2 | a549 [SUMMARY]
[CONTENT] cells | csc | μg | μg ml | ml | type | wi26 | medium | pla2 | a549 [SUMMARY]
[CONTENT] millions ||| ||| Phospholipase A2s ||| A2 | II [SUMMARY]
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[CONTENT] cPLA2s | II [SUMMARY]
[CONTENT] millions ||| ||| Phospholipase A2s ||| A2 | II ||| ||| Cigarette | CSC | Gold Flake | Indian ||| CSC | MTT | ROS | 2,7 | FDA | EtBr | SOD | cPLA2s | 24 ||| CSC | ROS | 1.5-15 | 0.05 ||| SOD | 0.05 ||| A2 | 3.8 ||| CSC | ROS | cPLA2s | A549 ||| cPLA2s | II [SUMMARY]
[CONTENT] millions ||| ||| Phospholipase A2s ||| A2 | II ||| ||| Cigarette | CSC | Gold Flake | Indian ||| CSC | MTT | ROS | 2,7 | FDA | EtBr | SOD | cPLA2s | 24 ||| CSC | ROS | 1.5-15 | 0.05 ||| SOD | 0.05 ||| A2 | 3.8 ||| CSC | ROS | cPLA2s | A549 ||| cPLA2s | II [SUMMARY]
The Relationship between Emotional Labor and Job Stress among Hospital Workers.
30250411
We divided hospital workers into two groups according to whether one was an interpersonal service worker (ISW) or was not (non-ISW). We then explored differences between these groups in job stress and emotional labor type and investigated the mediating factors influencing their relationships.
BACKGROUND
Our participants included both ISW (n = 353) and non-ISW (n = 71) hospital workers. We administered the Korean Standard Occupational Stress Scale Short Form to measure job stress and the Emotional Labor Scale to indicate both emotional labor type and characteristics. We also administered the Beck Depression Inventory-II to indicate the mediating factors of depressive symptoms, the Beck Anxiety Inventory to indicate the mediating factors of anxiety, and the State Anger Subscale of the State-Trait Anger Expression inventory to indicate the mediating factors of anger.
METHODS
The ISW group showed more severe job stress than the non-ISW group over a significantly longer duration, with greater intensity, and with higher level of surface acting. The ISW group showed a significant positive correlation between surface acting and job stress and no significant correlation between deep acting and job stress. Parallel mediation analysis showed that for ISWs surface acting was directly related to increased job stress, indirectly related to depression, and unrelated to anxiety and anger.
RESULTS
The ISW group displayed more surface acting and job stress in its emotional labor than the non-ISW group. In the ISW group, surface acting during emotional labor was positively correlated with job stress. Depression partially mediated their relationship.
CONCLUSION
[ "Adult", "Emotions", "Female", "Humans", "Job Satisfaction", "Male", "Occupational Stress", "Republic of Korea", "Stress, Psychological", "Surveys and Questionnaires" ]
6146145
INTRODUCTION
A kind service attitude toward patients is emphasized in hospitals. Many hospital workers who interact directly with patients may feel pressure in an atmosphere that leads them to perform emotional labor to be externally kind in providing service to patients. Emotional labor is the expression of emotions desired by the organization for which one works.1 Emotional labor occurs when individuals face situations in which they must manage their emotions according to the display rules regulated by the organization.2 Hochschild suggested that there are two emotional display methods: surface acting and deep acting.3 Surface acting indicates that workers regulate their emotional expressions by altering displayed feelings under the requirement of their employer. Workers who display surface acting suppress their negative emotions. In contrast, deep acting indicates that workers modify feelings to match the emotional expressions that are required by their employers. Through deep acting, workers manage their appropriate feelings within themselves.234 Morris and Feldman5 suggested dimensions of emotional labor including frequency of interactions, intensity of emotions, duration of interaction, variety of emotions required, and emotional dissonance. Usually, the emotional dissonance of emotional labor has been indicated as a factor that pushes workers into the job dissatisfaction and emotional exhaustion that mark burnout; however, the mechanisms are not clear.2 Job stress has been defined by the National Institute of Occupational Safety and Health as “the harmful physical and emotional responses that occur when the requirements of the job do not match the capabilities, resources, or needs of the worker.”6 Job stress is usually related with workers' physical and mental health, and especially with depression and anxiety,789 and could influence their occupational functioning. Emotional labor might develop into job stress, and both are known to be influenced by job characteristics and worker's individual character traits.610 The view of the National Institute of Occupational Safety and Health is that working conditions primarily influence job stress, while the individual factors of workers play additional roles in compounding this stress.6 Previous studies also suggested that job environment and individual style of emotional management were correlated to emotional labor.210 Prior studies of emotional labor and job stress among hospital workers focused on specified occupations in hospitals, such as nurses, doctors, or healthcare professions.111213 A cross-sectional study of nurses and physicians showed that emotional dissonance and display of negative emotions predicted burnout well.12 However, there are many types of occupations in hospitals. Many employees work as healthcare professionals, but others work, for example, as medical administrators and customer service workers. Even workers of the same type, such as nurses, may play various roles in the hospital. For example, some nurses work with patients in wards; others perform office work. Therefore, rather than focus on specific statuses within a hospital, we have found it appropriate for the purposes of this study to classify all hospital workers regardless of type into two categories: interpersonal service workers (ISW), who conduct face-to-face or voice-to-voice interactions with others, and non-interpersonal service workers (non-ISW). In this study, we hypothesized that the ISW group would be more related to surface acting and job stress than the non-ISW group. Therefore, we tried to determine the psychological factors (e.g., such as depression, anxiety, and anger) that might mediate the relationship between emotional labor types and job stress.
METHODS
Participants We distributed 700 questionnaires to various departments of a general hospital located in Seoul, Korea. We received 461 from hospital employees. Participants self-reported answers on the questionnaire and indicated whether the character of their respective jobs required direct interaction with patients or not. We distributed 700 questionnaires to various departments of a general hospital located in Seoul, Korea. We received 461 from hospital employees. Participants self-reported answers on the questionnaire and indicated whether the character of their respective jobs required direct interaction with patients or not. Measures The participants completed the Korean Standard Occupational Stress Scale Short Form (KOSS-SF)14 to measure job stress and the Emotional Labor Scale (ELS)4 to indicate emotional labor type and characteristics. They also performed the Beck Depression Inventory-II (BDI-II),15 Beck anxiety inventory (BAI),16 and the state anger subscale of the State-Trait Anger Expression Inventory (STAXI-S)17 to measure the expected individual factors of depression, anxiety, and anger, respectively. The KOSS-SF14 is a self-questionnaire containing 24 items rated on a 4-point Likert scale and according to subscales that measure job demand, insufficient job control, interpersonal conflict, job insecurity, occupational system, lack of reward, and organizational climate. The raw scores were converted up to 100 based on calculations from Chang et al.14 Each subscale has its own contents. Job demand measures time pressure, increasing workload, insufficient rest, and multiple functioning. Insufficient job control measures noncreative work, skill underutilization, little or no decision-making, and low control. Interpersonal conflict measures inadequate supervisor support, inadequate coworker support, lack of emotional support. Job insecurity measures uncertainty and changes negative to one's job. Organizational system measures unfair organizational policy, unsatisfactory organizational support, inter-department conflict, and limitation of communication. Lack of reward measures unfair treatment, future ambiguity, and interruption of opportunity. Occupational climate measures collective culture, inconsistency of job order, authoritarian climate, and gender discrimination. Cronbach's alpha (α) for all items of the KOSS-SF was 0.83 for this study. The ELS is a self-report questionnaire with a 5-point Likert scale used to measure the duration (1 item), intensity (2 items), and variety (3 items) of emotional labor as well as surface acting (3 items) and deep acting (3 items).10 The BDI-II is a 21-item self-report questionnaire with a 4-point Likert scale scored by summing each item.15 Higher BDI-II total scores represent more severe depression.18 Cronbach's α was 0.92 for this study. The BAI is a 21-item self-report questionnaire with a 4-point Likert scale.16 Higher BAI scores represent more severe anxiety. Cronbach's α was 0.93 for this study. STAXI-S is a subscale regarding state anger from the State-Trait Anger Expression inventory. Higher STAXI-S scores indicate current experience of more angry feelings and verbal or physical responses It contains a 10-item questionnaire that is measured on a 4-point Likert scale.1719 Cronbach's α was 0.95 for this study. The participants completed the Korean Standard Occupational Stress Scale Short Form (KOSS-SF)14 to measure job stress and the Emotional Labor Scale (ELS)4 to indicate emotional labor type and characteristics. They also performed the Beck Depression Inventory-II (BDI-II),15 Beck anxiety inventory (BAI),16 and the state anger subscale of the State-Trait Anger Expression Inventory (STAXI-S)17 to measure the expected individual factors of depression, anxiety, and anger, respectively. The KOSS-SF14 is a self-questionnaire containing 24 items rated on a 4-point Likert scale and according to subscales that measure job demand, insufficient job control, interpersonal conflict, job insecurity, occupational system, lack of reward, and organizational climate. The raw scores were converted up to 100 based on calculations from Chang et al.14 Each subscale has its own contents. Job demand measures time pressure, increasing workload, insufficient rest, and multiple functioning. Insufficient job control measures noncreative work, skill underutilization, little or no decision-making, and low control. Interpersonal conflict measures inadequate supervisor support, inadequate coworker support, lack of emotional support. Job insecurity measures uncertainty and changes negative to one's job. Organizational system measures unfair organizational policy, unsatisfactory organizational support, inter-department conflict, and limitation of communication. Lack of reward measures unfair treatment, future ambiguity, and interruption of opportunity. Occupational climate measures collective culture, inconsistency of job order, authoritarian climate, and gender discrimination. Cronbach's alpha (α) for all items of the KOSS-SF was 0.83 for this study. The ELS is a self-report questionnaire with a 5-point Likert scale used to measure the duration (1 item), intensity (2 items), and variety (3 items) of emotional labor as well as surface acting (3 items) and deep acting (3 items).10 The BDI-II is a 21-item self-report questionnaire with a 4-point Likert scale scored by summing each item.15 Higher BDI-II total scores represent more severe depression.18 Cronbach's α was 0.92 for this study. The BAI is a 21-item self-report questionnaire with a 4-point Likert scale.16 Higher BAI scores represent more severe anxiety. Cronbach's α was 0.93 for this study. STAXI-S is a subscale regarding state anger from the State-Trait Anger Expression inventory. Higher STAXI-S scores indicate current experience of more angry feelings and verbal or physical responses It contains a 10-item questionnaire that is measured on a 4-point Likert scale.1719 Cronbach's α was 0.95 for this study. Statistical analysis We conducted a comparison analysis between the ISW and non-ISW groups using cross-tabulation analysis and analyses of variance (ANOVAs) / analyses of covariance (ANCOVAs) for demographic variables and all scores from the KOSS, ELS, BDI, BAI, and STAXI-S. For the ISW group, Pearson correlations and a parallel mediation analysis20 (model 4 from Hayes' mediation model) were conducted to examine the relationships among emotional labor, job stress, and psychological variables (depression, anxiety, and anger). Bootstrapping with 5,000 sampling was applied to correlation and mediation analyses. SPSS 23.0 (IBM Corp., New York, NY, USA) was used for the statistical analysis in this study. We conducted a comparison analysis between the ISW and non-ISW groups using cross-tabulation analysis and analyses of variance (ANOVAs) / analyses of covariance (ANCOVAs) for demographic variables and all scores from the KOSS, ELS, BDI, BAI, and STAXI-S. For the ISW group, Pearson correlations and a parallel mediation analysis20 (model 4 from Hayes' mediation model) were conducted to examine the relationships among emotional labor, job stress, and psychological variables (depression, anxiety, and anger). Bootstrapping with 5,000 sampling was applied to correlation and mediation analyses. SPSS 23.0 (IBM Corp., New York, NY, USA) was used for the statistical analysis in this study. Ethics statement The Institutional Review Board of the SMG-SNU Boramae Medical Center approved this study protocol (IRB No. 26-2013-54). Written informed consent was obtained from each participant. The Institutional Review Board of the SMG-SNU Boramae Medical Center approved this study protocol (IRB No. 26-2013-54). Written informed consent was obtained from each participant.
RESULTS
Comparisons between ISW and non-ISW Of the total participants (n = 461), 347 (75.27%) were women, the mean age was 32.27 ± 8.24, the mean years of education were 15.16 ± 5.05, and the mean years of career were 6.69 ± 7.33. The mean duration of emotional labor was 325.71 ± 205.72 min/day. We divided enrolled hospital employees into direct patient service workers (ISW; n = 353; 76.57%) and non-patient service workers (non-ISW; n = 71; 15.41%) based on the response to the binominal item “Does your job involve interpersonal service with patients?” Thirty-seven non-responders on that item were excluded from group analysis. The ISW group consists of the following: doctors (n = 30; 8.50%), nurses (n = 185; 52.41%), pharmacists (n = 9; 2.55%), health service officials (n = 26; 7.37%), administrative officials (n = 16; 4.53%), and call center workers (n = 18; 5.10). The non-ISW group consists of the following: doctors (n = 4; 5.63%), nurses (n = 16; 22.54%), pharmacists (n = 4; 5.63%), health service officials (n = 5; 7.04%), and administrative officials (n = 24; 33.80%). Table 1 shows statistical values of group differences between ISW and non-ISW groups for demographic and descriptive data in detail. The proportion according to sex was different between groups and the ISW group was significantly younger, less educated, and had shorter years of career than non-ISW group. We select the sex and year of career as covariates for further analysis since the age, year of education, and year of career were highly correlated. ISW = interpersonal service workers, non-ISW = non-interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, SA = the Surface Acting of the Emotional Labor Scale, DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = State-Trait Anger Expression Inventory-State. aThe value which sex and years of career were adjusted. ANOVAs for the KOSS-SF were conducted, and the ISW group showed significantly higher total score, job demand, insufficient job control, and lack of reward items for the KOSS-SF than the non-ISW group (F = 4.37, P = 0.037; F = 19.72, P < 0.001; F = 4.03, P = 0.045; F = 9.21, P = 0.003; respectively). After that, ANCOVAs adjusted for the effects of sex and the year of career were conducted. The ISW group still showed higher total score, job demand, and lack of reward items for the KOSS-SF than the non-ISW group (F = 6.09, P = 0.014; F = 19.05, P < 0.001; F = 12.68, P < 0.001; respectively), while the group difference for insufficient job control was found to be not significant. The ISW group showed significantly longer duration and greater intensity in the ELS scores than the non-ISW group (F = 124.22, P < 0.001; and F = 14.79, P < 0.001; respectively). Variety did not exhibit significant differences between groups. The ISW group showed higher levels of surface acting than the non-ISW group both before and after adjusting covariates (F = 13.76, P < 0.001; and F = 22.30, P < 0.001; respectively). The level of deep acting did not differ for either group independently of covariates. The BDI-II score was also significantly higher for the ISW group than for the non-ISW group as shown in the results of an ANOVA and an ANCOVA (F = 5.23, P = 0.023; and F = 4.01, P = 0.046; respectively). The BAI and STAXI-S scores did not show significant differences between the groups. Of the total participants (n = 461), 347 (75.27%) were women, the mean age was 32.27 ± 8.24, the mean years of education were 15.16 ± 5.05, and the mean years of career were 6.69 ± 7.33. The mean duration of emotional labor was 325.71 ± 205.72 min/day. We divided enrolled hospital employees into direct patient service workers (ISW; n = 353; 76.57%) and non-patient service workers (non-ISW; n = 71; 15.41%) based on the response to the binominal item “Does your job involve interpersonal service with patients?” Thirty-seven non-responders on that item were excluded from group analysis. The ISW group consists of the following: doctors (n = 30; 8.50%), nurses (n = 185; 52.41%), pharmacists (n = 9; 2.55%), health service officials (n = 26; 7.37%), administrative officials (n = 16; 4.53%), and call center workers (n = 18; 5.10). The non-ISW group consists of the following: doctors (n = 4; 5.63%), nurses (n = 16; 22.54%), pharmacists (n = 4; 5.63%), health service officials (n = 5; 7.04%), and administrative officials (n = 24; 33.80%). Table 1 shows statistical values of group differences between ISW and non-ISW groups for demographic and descriptive data in detail. The proportion according to sex was different between groups and the ISW group was significantly younger, less educated, and had shorter years of career than non-ISW group. We select the sex and year of career as covariates for further analysis since the age, year of education, and year of career were highly correlated. ISW = interpersonal service workers, non-ISW = non-interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, SA = the Surface Acting of the Emotional Labor Scale, DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = State-Trait Anger Expression Inventory-State. aThe value which sex and years of career were adjusted. ANOVAs for the KOSS-SF were conducted, and the ISW group showed significantly higher total score, job demand, insufficient job control, and lack of reward items for the KOSS-SF than the non-ISW group (F = 4.37, P = 0.037; F = 19.72, P < 0.001; F = 4.03, P = 0.045; F = 9.21, P = 0.003; respectively). After that, ANCOVAs adjusted for the effects of sex and the year of career were conducted. The ISW group still showed higher total score, job demand, and lack of reward items for the KOSS-SF than the non-ISW group (F = 6.09, P = 0.014; F = 19.05, P < 0.001; F = 12.68, P < 0.001; respectively), while the group difference for insufficient job control was found to be not significant. The ISW group showed significantly longer duration and greater intensity in the ELS scores than the non-ISW group (F = 124.22, P < 0.001; and F = 14.79, P < 0.001; respectively). Variety did not exhibit significant differences between groups. The ISW group showed higher levels of surface acting than the non-ISW group both before and after adjusting covariates (F = 13.76, P < 0.001; and F = 22.30, P < 0.001; respectively). The level of deep acting did not differ for either group independently of covariates. The BDI-II score was also significantly higher for the ISW group than for the non-ISW group as shown in the results of an ANOVA and an ANCOVA (F = 5.23, P = 0.023; and F = 4.01, P = 0.046; respectively). The BAI and STAXI-S scores did not show significant differences between the groups. Relationships among variables in the ISW group Table 2 shows the correlations among variables in the ISW group. In that correlation analysis, surface acting showed significant positive correlation with total KOSS-SF score (r = 2.99, P < 0.001), whereas deep acting was not significantly correlated with total KOSS-SF score. Thus, we conducted a parallel mediation model predicting total KOSS-SF score with surface acting as an independent variable (Table 3 and Fig. 1) but did not conduct the model using deep acting as an independent variable. The scores on the BDI-II (as a proxy for depression), BAI (as a proxy for anxiety), and STAXI-S (as a proxy for anger) were entered into the mediation model as parallel mediators. As a result, the direct effect of surface acting on total KOSS-SF scores was significant (β = 1.81, P = 0.001). In addition, the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II was significant (β = 1.38; Boot CI, 0.78–2.21; Z = 3.98; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores. ISW = interpersonal service workers, KOSS-SF_t = the total score of Korean Standard Occupational Stress Scale Short Form, EL_dur = the duration of the Emotional Labor Scale, EL_int = the intensity of the Emotional Labor Scale, EL_var = the variety of the Emotional Labor Scale, EL_SA = the Surface Acting of the Emotional Labor Scale, EL_DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State. ISW = interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, EL_SA = the Surface Acting of the Emotional Labor Scale, β = coefficients, Boot = bootstrapping, SE = standard Error, LLCI = lower limit confidential interval, ULCI = upper limit confidential interval, BDI-II = the Beck Depression Inventory II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State. aThe value which sex, duration of emotional labor, intensity of emotional labor, and variety of emotional labor were adjusted; bThe value from the Sobel test. ISW = interpersonal service workers, Surface Acting = the Surface Acting scores of Emotional Labor Scale, Job Stress = the scores of The Korean Standard Occupational Stress Scale Short Form, Depression = the scores of Beck Depression Inventory II, anxiety = the scores of Beck Anxiety Inventory, anger = the scores of State-Trait Anger Expression Inventory-state, ß(d) = coefficients for the direct effect of the independent variables, ß(i) = coefficients for the indirect effect of the independent variable via a mediator. total ß(i) = coefficients for the indirect effect of the independent variable via all mediators. The effects of sex and the duration, intensity, and variety of emotional labor were adjusted throughout the model. aThe direct effect with P < 0.05; bThe indirect effect within significant confidence interval. Next, we tested the above mediation model with covariates. Sex and the duration, intensity, and variety of emotional labor were entered into the model as covariates since they have significant relationship with mediators and total KOSS-SF scores. ANOVAs for sex showed that the respective scores for KOSS-SF, BDI-II, BAI, and STAXI-S were higher in females than in males in the ISW group (F = 14.17, P < 0.001; F = 17.18, P < 0.001; F = 17.98, P < 0.001; and F = 4.01, P = 0.046). The duration and intensity of emotional labor were positively correlated with the respective total scores for KOSS-SF, BDI-II, BAI, and STAXI-S, whereas the variety of emotional labor was negatively correlated with the total score for KOSS-SF (Ps < 0.05, see Table 2 for detail). Though years of career was different for the ISW and non-ISW groups, we did not include this variable in our covariates because there was no significant correlation between years of career and the respective total scores for KOSS-SF, BDI-II, BAI, nor STAX-S in the ISW group. As a result of the mediation model with covariates, the direct effect of surface acting on total KOSS-SF scores and the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II were still significant (β = 1.36; P = 0.014; β = 1.07; Boot CI, 0.48–1.87; Z = 3.45; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores. In other words, depression partially mediated the ways that surface acting when performing emotional labor affected job stress independently of the effects of sex and physical factors of emotional labor (duration, intensity, and variety; see Table 3 and Fig. 1). Table 2 shows the correlations among variables in the ISW group. In that correlation analysis, surface acting showed significant positive correlation with total KOSS-SF score (r = 2.99, P < 0.001), whereas deep acting was not significantly correlated with total KOSS-SF score. Thus, we conducted a parallel mediation model predicting total KOSS-SF score with surface acting as an independent variable (Table 3 and Fig. 1) but did not conduct the model using deep acting as an independent variable. The scores on the BDI-II (as a proxy for depression), BAI (as a proxy for anxiety), and STAXI-S (as a proxy for anger) were entered into the mediation model as parallel mediators. As a result, the direct effect of surface acting on total KOSS-SF scores was significant (β = 1.81, P = 0.001). In addition, the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II was significant (β = 1.38; Boot CI, 0.78–2.21; Z = 3.98; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores. ISW = interpersonal service workers, KOSS-SF_t = the total score of Korean Standard Occupational Stress Scale Short Form, EL_dur = the duration of the Emotional Labor Scale, EL_int = the intensity of the Emotional Labor Scale, EL_var = the variety of the Emotional Labor Scale, EL_SA = the Surface Acting of the Emotional Labor Scale, EL_DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State. ISW = interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, EL_SA = the Surface Acting of the Emotional Labor Scale, β = coefficients, Boot = bootstrapping, SE = standard Error, LLCI = lower limit confidential interval, ULCI = upper limit confidential interval, BDI-II = the Beck Depression Inventory II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State. aThe value which sex, duration of emotional labor, intensity of emotional labor, and variety of emotional labor were adjusted; bThe value from the Sobel test. ISW = interpersonal service workers, Surface Acting = the Surface Acting scores of Emotional Labor Scale, Job Stress = the scores of The Korean Standard Occupational Stress Scale Short Form, Depression = the scores of Beck Depression Inventory II, anxiety = the scores of Beck Anxiety Inventory, anger = the scores of State-Trait Anger Expression Inventory-state, ß(d) = coefficients for the direct effect of the independent variables, ß(i) = coefficients for the indirect effect of the independent variable via a mediator. total ß(i) = coefficients for the indirect effect of the independent variable via all mediators. The effects of sex and the duration, intensity, and variety of emotional labor were adjusted throughout the model. aThe direct effect with P < 0.05; bThe indirect effect within significant confidence interval. Next, we tested the above mediation model with covariates. Sex and the duration, intensity, and variety of emotional labor were entered into the model as covariates since they have significant relationship with mediators and total KOSS-SF scores. ANOVAs for sex showed that the respective scores for KOSS-SF, BDI-II, BAI, and STAXI-S were higher in females than in males in the ISW group (F = 14.17, P < 0.001; F = 17.18, P < 0.001; F = 17.98, P < 0.001; and F = 4.01, P = 0.046). The duration and intensity of emotional labor were positively correlated with the respective total scores for KOSS-SF, BDI-II, BAI, and STAXI-S, whereas the variety of emotional labor was negatively correlated with the total score for KOSS-SF (Ps < 0.05, see Table 2 for detail). Though years of career was different for the ISW and non-ISW groups, we did not include this variable in our covariates because there was no significant correlation between years of career and the respective total scores for KOSS-SF, BDI-II, BAI, nor STAX-S in the ISW group. As a result of the mediation model with covariates, the direct effect of surface acting on total KOSS-SF scores and the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II were still significant (β = 1.36; P = 0.014; β = 1.07; Boot CI, 0.48–1.87; Z = 3.45; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores. In other words, depression partially mediated the ways that surface acting when performing emotional labor affected job stress independently of the effects of sex and physical factors of emotional labor (duration, intensity, and variety; see Table 3 and Fig. 1).
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[ "Participants", "Measures", "Statistical analysis", "Ethics statement", "Comparisons between ISW and non-ISW", "Relationships among variables in the ISW group" ]
[ "We distributed 700 questionnaires to various departments of a general hospital located in Seoul, Korea. We received 461 from hospital employees. Participants self-reported answers on the questionnaire and indicated whether the character of their respective jobs required direct interaction with patients or not.", "The participants completed the Korean Standard Occupational Stress Scale Short Form (KOSS-SF)14 to measure job stress and the Emotional Labor Scale (ELS)4 to indicate emotional labor type and characteristics. They also performed the Beck Depression Inventory-II (BDI-II),15 Beck anxiety inventory (BAI),16 and the state anger subscale of the State-Trait Anger Expression Inventory (STAXI-S)17 to measure the expected individual factors of depression, anxiety, and anger, respectively.\nThe KOSS-SF14 is a self-questionnaire containing 24 items rated on a 4-point Likert scale and according to subscales that measure job demand, insufficient job control, interpersonal conflict, job insecurity, occupational system, lack of reward, and organizational climate. The raw scores were converted up to 100 based on calculations from Chang et al.14 Each subscale has its own contents. Job demand measures time pressure, increasing workload, insufficient rest, and multiple functioning. Insufficient job control measures noncreative work, skill underutilization, little or no decision-making, and low control. Interpersonal conflict measures inadequate supervisor support, inadequate coworker support, lack of emotional support. Job insecurity measures uncertainty and changes negative to one's job. Organizational system measures unfair organizational policy, unsatisfactory organizational support, inter-department conflict, and limitation of communication. Lack of reward measures unfair treatment, future ambiguity, and interruption of opportunity. Occupational climate measures collective culture, inconsistency of job order, authoritarian climate, and gender discrimination. Cronbach's alpha (α) for all items of the KOSS-SF was 0.83 for this study.\nThe ELS is a self-report questionnaire with a 5-point Likert scale used to measure the duration (1 item), intensity (2 items), and variety (3 items) of emotional labor as well as surface acting (3 items) and deep acting (3 items).10\nThe BDI-II is a 21-item self-report questionnaire with a 4-point Likert scale scored by summing each item.15 Higher BDI-II total scores represent more severe depression.18 Cronbach's α was 0.92 for this study.\nThe BAI is a 21-item self-report questionnaire with a 4-point Likert scale.16 Higher BAI scores represent more severe anxiety. Cronbach's α was 0.93 for this study.\nSTAXI-S is a subscale regarding state anger from the State-Trait Anger Expression inventory. Higher STAXI-S scores indicate current experience of more angry feelings and verbal or physical responses It contains a 10-item questionnaire that is measured on a 4-point Likert scale.1719 Cronbach's α was 0.95 for this study.", "We conducted a comparison analysis between the ISW and non-ISW groups using cross-tabulation analysis and analyses of variance (ANOVAs) / analyses of covariance (ANCOVAs) for demographic variables and all scores from the KOSS, ELS, BDI, BAI, and STAXI-S.\nFor the ISW group, Pearson correlations and a parallel mediation analysis20 (model 4 from Hayes' mediation model) were conducted to examine the relationships among emotional labor, job stress, and psychological variables (depression, anxiety, and anger). Bootstrapping with 5,000 sampling was applied to correlation and mediation analyses. SPSS 23.0 (IBM Corp., New York, NY, USA) was used for the statistical analysis in this study.", "The Institutional Review Board of the SMG-SNU Boramae Medical Center approved this study protocol (IRB No. 26-2013-54). Written informed consent was obtained from each participant.", "Of the total participants (n = 461), 347 (75.27%) were women, the mean age was 32.27 ± 8.24, the mean years of education were 15.16 ± 5.05, and the mean years of career were 6.69 ± 7.33. The mean duration of emotional labor was 325.71 ± 205.72 min/day. We divided enrolled hospital employees into direct patient service workers (ISW; n = 353; 76.57%) and non-patient service workers (non-ISW; n = 71; 15.41%) based on the response to the binominal item “Does your job involve interpersonal service with patients?” Thirty-seven non-responders on that item were excluded from group analysis.\nThe ISW group consists of the following: doctors (n = 30; 8.50%), nurses (n = 185; 52.41%), pharmacists (n = 9; 2.55%), health service officials (n = 26; 7.37%), administrative officials (n = 16; 4.53%), and call center workers (n = 18; 5.10). The non-ISW group consists of the following: doctors (n = 4; 5.63%), nurses (n = 16; 22.54%), pharmacists (n = 4; 5.63%), health service officials (n = 5; 7.04%), and administrative officials (n = 24; 33.80%).\nTable 1 shows statistical values of group differences between ISW and non-ISW groups for demographic and descriptive data in detail. The proportion according to sex was different between groups and the ISW group was significantly younger, less educated, and had shorter years of career than non-ISW group. We select the sex and year of career as covariates for further analysis since the age, year of education, and year of career were highly correlated.\nISW = interpersonal service workers, non-ISW = non-interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, SA = the Surface Acting of the Emotional Labor Scale, DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = State-Trait Anger Expression Inventory-State.\naThe value which sex and years of career were adjusted.\nANOVAs for the KOSS-SF were conducted, and the ISW group showed significantly higher total score, job demand, insufficient job control, and lack of reward items for the KOSS-SF than the non-ISW group (F = 4.37, P = 0.037; F = 19.72, P < 0.001; F = 4.03, P = 0.045; F = 9.21, P = 0.003; respectively). After that, ANCOVAs adjusted for the effects of sex and the year of career were conducted. The ISW group still showed higher total score, job demand, and lack of reward items for the KOSS-SF than the non-ISW group (F = 6.09, P = 0.014; F = 19.05, P < 0.001; F = 12.68, P < 0.001; respectively), while the group difference for insufficient job control was found to be not significant.\nThe ISW group showed significantly longer duration and greater intensity in the ELS scores than the non-ISW group (F = 124.22, P < 0.001; and F = 14.79, P < 0.001; respectively). Variety did not exhibit significant differences between groups. The ISW group showed higher levels of surface acting than the non-ISW group both before and after adjusting covariates (F = 13.76, P < 0.001; and F = 22.30, P < 0.001; respectively). The level of deep acting did not differ for either group independently of covariates.\nThe BDI-II score was also significantly higher for the ISW group than for the non-ISW group as shown in the results of an ANOVA and an ANCOVA (F = 5.23, P = 0.023; and F = 4.01, P = 0.046; respectively). The BAI and STAXI-S scores did not show significant differences between the groups.", "Table 2 shows the correlations among variables in the ISW group. In that correlation analysis, surface acting showed significant positive correlation with total KOSS-SF score (r = 2.99, P < 0.001), whereas deep acting was not significantly correlated with total KOSS-SF score. Thus, we conducted a parallel mediation model predicting total KOSS-SF score with surface acting as an independent variable (Table 3 and Fig. 1) but did not conduct the model using deep acting as an independent variable. The scores on the BDI-II (as a proxy for depression), BAI (as a proxy for anxiety), and STAXI-S (as a proxy for anger) were entered into the mediation model as parallel mediators. As a result, the direct effect of surface acting on total KOSS-SF scores was significant (β = 1.81, P = 0.001). In addition, the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II was significant (β = 1.38; Boot CI, 0.78–2.21; Z = 3.98; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores.\nISW = interpersonal service workers, KOSS-SF_t = the total score of Korean Standard Occupational Stress Scale Short Form, EL_dur = the duration of the Emotional Labor Scale, EL_int = the intensity of the Emotional Labor Scale, EL_var = the variety of the Emotional Labor Scale, EL_SA = the Surface Acting of the Emotional Labor Scale, EL_DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State.\nISW = interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, EL_SA = the Surface Acting of the Emotional Labor Scale, β = coefficients, Boot = bootstrapping, SE = standard Error, LLCI = lower limit confidential interval, ULCI = upper limit confidential interval, BDI-II = the Beck Depression Inventory II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State.\naThe value which sex, duration of emotional labor, intensity of emotional labor, and variety of emotional labor were adjusted; bThe value from the Sobel test.\nISW = interpersonal service workers, Surface Acting = the Surface Acting scores of Emotional Labor Scale, Job Stress = the scores of The Korean Standard Occupational Stress Scale Short Form, Depression = the scores of Beck Depression Inventory II, anxiety = the scores of Beck Anxiety Inventory, anger = the scores of State-Trait Anger Expression Inventory-state, ß(d) = coefficients for the direct effect of the independent variables, ß(i) = coefficients for the indirect effect of the independent variable via a mediator. total ß(i) = coefficients for the indirect effect of the independent variable via all mediators. The effects of sex and the duration, intensity, and variety of emotional labor were adjusted throughout the model.\naThe direct effect with P < 0.05; bThe indirect effect within significant confidence interval.\nNext, we tested the above mediation model with covariates. Sex and the duration, intensity, and variety of emotional labor were entered into the model as covariates since they have significant relationship with mediators and total KOSS-SF scores. ANOVAs for sex showed that the respective scores for KOSS-SF, BDI-II, BAI, and STAXI-S were higher in females than in males in the ISW group (F = 14.17, P < 0.001; F = 17.18, P < 0.001; F = 17.98, P < 0.001; and F = 4.01, P = 0.046). The duration and intensity of emotional labor were positively correlated with the respective total scores for KOSS-SF, BDI-II, BAI, and STAXI-S, whereas the variety of emotional labor was negatively correlated with the total score for KOSS-SF (Ps < 0.05, see Table 2 for detail). Though years of career was different for the ISW and non-ISW groups, we did not include this variable in our covariates because there was no significant correlation between years of career and the respective total scores for KOSS-SF, BDI-II, BAI, nor STAX-S in the ISW group. As a result of the mediation model with covariates, the direct effect of surface acting on total KOSS-SF scores and the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II were still significant (β = 1.36; P = 0.014; β = 1.07; Boot CI, 0.48–1.87; Z = 3.45; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores. In other words, depression partially mediated the ways that surface acting when performing emotional labor affected job stress independently of the effects of sex and physical factors of emotional labor (duration, intensity, and variety; see Table 3 and Fig. 1)." ]
[ null, null, null, null, null, null ]
[ "INTRODUCTION", "METHODS", "Participants", "Measures", "Statistical analysis", "Ethics statement", "RESULTS", "Comparisons between ISW and non-ISW", "Relationships among variables in the ISW group", "DISCUSSION" ]
[ "A kind service attitude toward patients is emphasized in hospitals. Many hospital workers who interact directly with patients may feel pressure in an atmosphere that leads them to perform emotional labor to be externally kind in providing service to patients. Emotional labor is the expression of emotions desired by the organization for which one works.1 Emotional labor occurs when individuals face situations in which they must manage their emotions according to the display rules regulated by the organization.2 Hochschild suggested that there are two emotional display methods: surface acting and deep acting.3 Surface acting indicates that workers regulate their emotional expressions by altering displayed feelings under the requirement of their employer. Workers who display surface acting suppress their negative emotions. In contrast, deep acting indicates that workers modify feelings to match the emotional expressions that are required by their employers. Through deep acting, workers manage their appropriate feelings within themselves.234 Morris and Feldman5 suggested dimensions of emotional labor including frequency of interactions, intensity of emotions, duration of interaction, variety of emotions required, and emotional dissonance. Usually, the emotional dissonance of emotional labor has been indicated as a factor that pushes workers into the job dissatisfaction and emotional exhaustion that mark burnout; however, the mechanisms are not clear.2\nJob stress has been defined by the National Institute of Occupational Safety and Health as “the harmful physical and emotional responses that occur when the requirements of the job do not match the capabilities, resources, or needs of the worker.”6 Job stress is usually related with workers' physical and mental health, and especially with depression and anxiety,789 and could influence their occupational functioning.\nEmotional labor might develop into job stress, and both are known to be influenced by job characteristics and worker's individual character traits.610 The view of the National Institute of Occupational Safety and Health is that working conditions primarily influence job stress, while the individual factors of workers play additional roles in compounding this stress.6 Previous studies also suggested that job environment and individual style of emotional management were correlated to emotional labor.210\nPrior studies of emotional labor and job stress among hospital workers focused on specified occupations in hospitals, such as nurses, doctors, or healthcare professions.111213 A cross-sectional study of nurses and physicians showed that emotional dissonance and display of negative emotions predicted burnout well.12 However, there are many types of occupations in hospitals. Many employees work as healthcare professionals, but others work, for example, as medical administrators and customer service workers. Even workers of the same type, such as nurses, may play various roles in the hospital. For example, some nurses work with patients in wards; others perform office work. Therefore, rather than focus on specific statuses within a hospital, we have found it appropriate for the purposes of this study to classify all hospital workers regardless of type into two categories: interpersonal service workers (ISW), who conduct face-to-face or voice-to-voice interactions with others, and non-interpersonal service workers (non-ISW).\nIn this study, we hypothesized that the ISW group would be more related to surface acting and job stress than the non-ISW group. Therefore, we tried to determine the psychological factors (e.g., such as depression, anxiety, and anger) that might mediate the relationship between emotional labor types and job stress.", " Participants We distributed 700 questionnaires to various departments of a general hospital located in Seoul, Korea. We received 461 from hospital employees. Participants self-reported answers on the questionnaire and indicated whether the character of their respective jobs required direct interaction with patients or not.\nWe distributed 700 questionnaires to various departments of a general hospital located in Seoul, Korea. We received 461 from hospital employees. Participants self-reported answers on the questionnaire and indicated whether the character of their respective jobs required direct interaction with patients or not.\n Measures The participants completed the Korean Standard Occupational Stress Scale Short Form (KOSS-SF)14 to measure job stress and the Emotional Labor Scale (ELS)4 to indicate emotional labor type and characteristics. They also performed the Beck Depression Inventory-II (BDI-II),15 Beck anxiety inventory (BAI),16 and the state anger subscale of the State-Trait Anger Expression Inventory (STAXI-S)17 to measure the expected individual factors of depression, anxiety, and anger, respectively.\nThe KOSS-SF14 is a self-questionnaire containing 24 items rated on a 4-point Likert scale and according to subscales that measure job demand, insufficient job control, interpersonal conflict, job insecurity, occupational system, lack of reward, and organizational climate. The raw scores were converted up to 100 based on calculations from Chang et al.14 Each subscale has its own contents. Job demand measures time pressure, increasing workload, insufficient rest, and multiple functioning. Insufficient job control measures noncreative work, skill underutilization, little or no decision-making, and low control. Interpersonal conflict measures inadequate supervisor support, inadequate coworker support, lack of emotional support. Job insecurity measures uncertainty and changes negative to one's job. Organizational system measures unfair organizational policy, unsatisfactory organizational support, inter-department conflict, and limitation of communication. Lack of reward measures unfair treatment, future ambiguity, and interruption of opportunity. Occupational climate measures collective culture, inconsistency of job order, authoritarian climate, and gender discrimination. Cronbach's alpha (α) for all items of the KOSS-SF was 0.83 for this study.\nThe ELS is a self-report questionnaire with a 5-point Likert scale used to measure the duration (1 item), intensity (2 items), and variety (3 items) of emotional labor as well as surface acting (3 items) and deep acting (3 items).10\nThe BDI-II is a 21-item self-report questionnaire with a 4-point Likert scale scored by summing each item.15 Higher BDI-II total scores represent more severe depression.18 Cronbach's α was 0.92 for this study.\nThe BAI is a 21-item self-report questionnaire with a 4-point Likert scale.16 Higher BAI scores represent more severe anxiety. Cronbach's α was 0.93 for this study.\nSTAXI-S is a subscale regarding state anger from the State-Trait Anger Expression inventory. Higher STAXI-S scores indicate current experience of more angry feelings and verbal or physical responses It contains a 10-item questionnaire that is measured on a 4-point Likert scale.1719 Cronbach's α was 0.95 for this study.\nThe participants completed the Korean Standard Occupational Stress Scale Short Form (KOSS-SF)14 to measure job stress and the Emotional Labor Scale (ELS)4 to indicate emotional labor type and characteristics. They also performed the Beck Depression Inventory-II (BDI-II),15 Beck anxiety inventory (BAI),16 and the state anger subscale of the State-Trait Anger Expression Inventory (STAXI-S)17 to measure the expected individual factors of depression, anxiety, and anger, respectively.\nThe KOSS-SF14 is a self-questionnaire containing 24 items rated on a 4-point Likert scale and according to subscales that measure job demand, insufficient job control, interpersonal conflict, job insecurity, occupational system, lack of reward, and organizational climate. The raw scores were converted up to 100 based on calculations from Chang et al.14 Each subscale has its own contents. Job demand measures time pressure, increasing workload, insufficient rest, and multiple functioning. Insufficient job control measures noncreative work, skill underutilization, little or no decision-making, and low control. Interpersonal conflict measures inadequate supervisor support, inadequate coworker support, lack of emotional support. Job insecurity measures uncertainty and changes negative to one's job. Organizational system measures unfair organizational policy, unsatisfactory organizational support, inter-department conflict, and limitation of communication. Lack of reward measures unfair treatment, future ambiguity, and interruption of opportunity. Occupational climate measures collective culture, inconsistency of job order, authoritarian climate, and gender discrimination. Cronbach's alpha (α) for all items of the KOSS-SF was 0.83 for this study.\nThe ELS is a self-report questionnaire with a 5-point Likert scale used to measure the duration (1 item), intensity (2 items), and variety (3 items) of emotional labor as well as surface acting (3 items) and deep acting (3 items).10\nThe BDI-II is a 21-item self-report questionnaire with a 4-point Likert scale scored by summing each item.15 Higher BDI-II total scores represent more severe depression.18 Cronbach's α was 0.92 for this study.\nThe BAI is a 21-item self-report questionnaire with a 4-point Likert scale.16 Higher BAI scores represent more severe anxiety. Cronbach's α was 0.93 for this study.\nSTAXI-S is a subscale regarding state anger from the State-Trait Anger Expression inventory. Higher STAXI-S scores indicate current experience of more angry feelings and verbal or physical responses It contains a 10-item questionnaire that is measured on a 4-point Likert scale.1719 Cronbach's α was 0.95 for this study.\n Statistical analysis We conducted a comparison analysis between the ISW and non-ISW groups using cross-tabulation analysis and analyses of variance (ANOVAs) / analyses of covariance (ANCOVAs) for demographic variables and all scores from the KOSS, ELS, BDI, BAI, and STAXI-S.\nFor the ISW group, Pearson correlations and a parallel mediation analysis20 (model 4 from Hayes' mediation model) were conducted to examine the relationships among emotional labor, job stress, and psychological variables (depression, anxiety, and anger). Bootstrapping with 5,000 sampling was applied to correlation and mediation analyses. SPSS 23.0 (IBM Corp., New York, NY, USA) was used for the statistical analysis in this study.\nWe conducted a comparison analysis between the ISW and non-ISW groups using cross-tabulation analysis and analyses of variance (ANOVAs) / analyses of covariance (ANCOVAs) for demographic variables and all scores from the KOSS, ELS, BDI, BAI, and STAXI-S.\nFor the ISW group, Pearson correlations and a parallel mediation analysis20 (model 4 from Hayes' mediation model) were conducted to examine the relationships among emotional labor, job stress, and psychological variables (depression, anxiety, and anger). Bootstrapping with 5,000 sampling was applied to correlation and mediation analyses. SPSS 23.0 (IBM Corp., New York, NY, USA) was used for the statistical analysis in this study.\n Ethics statement The Institutional Review Board of the SMG-SNU Boramae Medical Center approved this study protocol (IRB No. 26-2013-54). Written informed consent was obtained from each participant.\nThe Institutional Review Board of the SMG-SNU Boramae Medical Center approved this study protocol (IRB No. 26-2013-54). Written informed consent was obtained from each participant.", "We distributed 700 questionnaires to various departments of a general hospital located in Seoul, Korea. We received 461 from hospital employees. Participants self-reported answers on the questionnaire and indicated whether the character of their respective jobs required direct interaction with patients or not.", "The participants completed the Korean Standard Occupational Stress Scale Short Form (KOSS-SF)14 to measure job stress and the Emotional Labor Scale (ELS)4 to indicate emotional labor type and characteristics. They also performed the Beck Depression Inventory-II (BDI-II),15 Beck anxiety inventory (BAI),16 and the state anger subscale of the State-Trait Anger Expression Inventory (STAXI-S)17 to measure the expected individual factors of depression, anxiety, and anger, respectively.\nThe KOSS-SF14 is a self-questionnaire containing 24 items rated on a 4-point Likert scale and according to subscales that measure job demand, insufficient job control, interpersonal conflict, job insecurity, occupational system, lack of reward, and organizational climate. The raw scores were converted up to 100 based on calculations from Chang et al.14 Each subscale has its own contents. Job demand measures time pressure, increasing workload, insufficient rest, and multiple functioning. Insufficient job control measures noncreative work, skill underutilization, little or no decision-making, and low control. Interpersonal conflict measures inadequate supervisor support, inadequate coworker support, lack of emotional support. Job insecurity measures uncertainty and changes negative to one's job. Organizational system measures unfair organizational policy, unsatisfactory organizational support, inter-department conflict, and limitation of communication. Lack of reward measures unfair treatment, future ambiguity, and interruption of opportunity. Occupational climate measures collective culture, inconsistency of job order, authoritarian climate, and gender discrimination. Cronbach's alpha (α) for all items of the KOSS-SF was 0.83 for this study.\nThe ELS is a self-report questionnaire with a 5-point Likert scale used to measure the duration (1 item), intensity (2 items), and variety (3 items) of emotional labor as well as surface acting (3 items) and deep acting (3 items).10\nThe BDI-II is a 21-item self-report questionnaire with a 4-point Likert scale scored by summing each item.15 Higher BDI-II total scores represent more severe depression.18 Cronbach's α was 0.92 for this study.\nThe BAI is a 21-item self-report questionnaire with a 4-point Likert scale.16 Higher BAI scores represent more severe anxiety. Cronbach's α was 0.93 for this study.\nSTAXI-S is a subscale regarding state anger from the State-Trait Anger Expression inventory. Higher STAXI-S scores indicate current experience of more angry feelings and verbal or physical responses It contains a 10-item questionnaire that is measured on a 4-point Likert scale.1719 Cronbach's α was 0.95 for this study.", "We conducted a comparison analysis between the ISW and non-ISW groups using cross-tabulation analysis and analyses of variance (ANOVAs) / analyses of covariance (ANCOVAs) for demographic variables and all scores from the KOSS, ELS, BDI, BAI, and STAXI-S.\nFor the ISW group, Pearson correlations and a parallel mediation analysis20 (model 4 from Hayes' mediation model) were conducted to examine the relationships among emotional labor, job stress, and psychological variables (depression, anxiety, and anger). Bootstrapping with 5,000 sampling was applied to correlation and mediation analyses. SPSS 23.0 (IBM Corp., New York, NY, USA) was used for the statistical analysis in this study.", "The Institutional Review Board of the SMG-SNU Boramae Medical Center approved this study protocol (IRB No. 26-2013-54). Written informed consent was obtained from each participant.", " Comparisons between ISW and non-ISW Of the total participants (n = 461), 347 (75.27%) were women, the mean age was 32.27 ± 8.24, the mean years of education were 15.16 ± 5.05, and the mean years of career were 6.69 ± 7.33. The mean duration of emotional labor was 325.71 ± 205.72 min/day. We divided enrolled hospital employees into direct patient service workers (ISW; n = 353; 76.57%) and non-patient service workers (non-ISW; n = 71; 15.41%) based on the response to the binominal item “Does your job involve interpersonal service with patients?” Thirty-seven non-responders on that item were excluded from group analysis.\nThe ISW group consists of the following: doctors (n = 30; 8.50%), nurses (n = 185; 52.41%), pharmacists (n = 9; 2.55%), health service officials (n = 26; 7.37%), administrative officials (n = 16; 4.53%), and call center workers (n = 18; 5.10). The non-ISW group consists of the following: doctors (n = 4; 5.63%), nurses (n = 16; 22.54%), pharmacists (n = 4; 5.63%), health service officials (n = 5; 7.04%), and administrative officials (n = 24; 33.80%).\nTable 1 shows statistical values of group differences between ISW and non-ISW groups for demographic and descriptive data in detail. The proportion according to sex was different between groups and the ISW group was significantly younger, less educated, and had shorter years of career than non-ISW group. We select the sex and year of career as covariates for further analysis since the age, year of education, and year of career were highly correlated.\nISW = interpersonal service workers, non-ISW = non-interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, SA = the Surface Acting of the Emotional Labor Scale, DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = State-Trait Anger Expression Inventory-State.\naThe value which sex and years of career were adjusted.\nANOVAs for the KOSS-SF were conducted, and the ISW group showed significantly higher total score, job demand, insufficient job control, and lack of reward items for the KOSS-SF than the non-ISW group (F = 4.37, P = 0.037; F = 19.72, P < 0.001; F = 4.03, P = 0.045; F = 9.21, P = 0.003; respectively). After that, ANCOVAs adjusted for the effects of sex and the year of career were conducted. The ISW group still showed higher total score, job demand, and lack of reward items for the KOSS-SF than the non-ISW group (F = 6.09, P = 0.014; F = 19.05, P < 0.001; F = 12.68, P < 0.001; respectively), while the group difference for insufficient job control was found to be not significant.\nThe ISW group showed significantly longer duration and greater intensity in the ELS scores than the non-ISW group (F = 124.22, P < 0.001; and F = 14.79, P < 0.001; respectively). Variety did not exhibit significant differences between groups. The ISW group showed higher levels of surface acting than the non-ISW group both before and after adjusting covariates (F = 13.76, P < 0.001; and F = 22.30, P < 0.001; respectively). The level of deep acting did not differ for either group independently of covariates.\nThe BDI-II score was also significantly higher for the ISW group than for the non-ISW group as shown in the results of an ANOVA and an ANCOVA (F = 5.23, P = 0.023; and F = 4.01, P = 0.046; respectively). The BAI and STAXI-S scores did not show significant differences between the groups.\nOf the total participants (n = 461), 347 (75.27%) were women, the mean age was 32.27 ± 8.24, the mean years of education were 15.16 ± 5.05, and the mean years of career were 6.69 ± 7.33. The mean duration of emotional labor was 325.71 ± 205.72 min/day. We divided enrolled hospital employees into direct patient service workers (ISW; n = 353; 76.57%) and non-patient service workers (non-ISW; n = 71; 15.41%) based on the response to the binominal item “Does your job involve interpersonal service with patients?” Thirty-seven non-responders on that item were excluded from group analysis.\nThe ISW group consists of the following: doctors (n = 30; 8.50%), nurses (n = 185; 52.41%), pharmacists (n = 9; 2.55%), health service officials (n = 26; 7.37%), administrative officials (n = 16; 4.53%), and call center workers (n = 18; 5.10). The non-ISW group consists of the following: doctors (n = 4; 5.63%), nurses (n = 16; 22.54%), pharmacists (n = 4; 5.63%), health service officials (n = 5; 7.04%), and administrative officials (n = 24; 33.80%).\nTable 1 shows statistical values of group differences between ISW and non-ISW groups for demographic and descriptive data in detail. The proportion according to sex was different between groups and the ISW group was significantly younger, less educated, and had shorter years of career than non-ISW group. We select the sex and year of career as covariates for further analysis since the age, year of education, and year of career were highly correlated.\nISW = interpersonal service workers, non-ISW = non-interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, SA = the Surface Acting of the Emotional Labor Scale, DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = State-Trait Anger Expression Inventory-State.\naThe value which sex and years of career were adjusted.\nANOVAs for the KOSS-SF were conducted, and the ISW group showed significantly higher total score, job demand, insufficient job control, and lack of reward items for the KOSS-SF than the non-ISW group (F = 4.37, P = 0.037; F = 19.72, P < 0.001; F = 4.03, P = 0.045; F = 9.21, P = 0.003; respectively). After that, ANCOVAs adjusted for the effects of sex and the year of career were conducted. The ISW group still showed higher total score, job demand, and lack of reward items for the KOSS-SF than the non-ISW group (F = 6.09, P = 0.014; F = 19.05, P < 0.001; F = 12.68, P < 0.001; respectively), while the group difference for insufficient job control was found to be not significant.\nThe ISW group showed significantly longer duration and greater intensity in the ELS scores than the non-ISW group (F = 124.22, P < 0.001; and F = 14.79, P < 0.001; respectively). Variety did not exhibit significant differences between groups. The ISW group showed higher levels of surface acting than the non-ISW group both before and after adjusting covariates (F = 13.76, P < 0.001; and F = 22.30, P < 0.001; respectively). The level of deep acting did not differ for either group independently of covariates.\nThe BDI-II score was also significantly higher for the ISW group than for the non-ISW group as shown in the results of an ANOVA and an ANCOVA (F = 5.23, P = 0.023; and F = 4.01, P = 0.046; respectively). The BAI and STAXI-S scores did not show significant differences between the groups.\n Relationships among variables in the ISW group Table 2 shows the correlations among variables in the ISW group. In that correlation analysis, surface acting showed significant positive correlation with total KOSS-SF score (r = 2.99, P < 0.001), whereas deep acting was not significantly correlated with total KOSS-SF score. Thus, we conducted a parallel mediation model predicting total KOSS-SF score with surface acting as an independent variable (Table 3 and Fig. 1) but did not conduct the model using deep acting as an independent variable. The scores on the BDI-II (as a proxy for depression), BAI (as a proxy for anxiety), and STAXI-S (as a proxy for anger) were entered into the mediation model as parallel mediators. As a result, the direct effect of surface acting on total KOSS-SF scores was significant (β = 1.81, P = 0.001). In addition, the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II was significant (β = 1.38; Boot CI, 0.78–2.21; Z = 3.98; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores.\nISW = interpersonal service workers, KOSS-SF_t = the total score of Korean Standard Occupational Stress Scale Short Form, EL_dur = the duration of the Emotional Labor Scale, EL_int = the intensity of the Emotional Labor Scale, EL_var = the variety of the Emotional Labor Scale, EL_SA = the Surface Acting of the Emotional Labor Scale, EL_DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State.\nISW = interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, EL_SA = the Surface Acting of the Emotional Labor Scale, β = coefficients, Boot = bootstrapping, SE = standard Error, LLCI = lower limit confidential interval, ULCI = upper limit confidential interval, BDI-II = the Beck Depression Inventory II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State.\naThe value which sex, duration of emotional labor, intensity of emotional labor, and variety of emotional labor were adjusted; bThe value from the Sobel test.\nISW = interpersonal service workers, Surface Acting = the Surface Acting scores of Emotional Labor Scale, Job Stress = the scores of The Korean Standard Occupational Stress Scale Short Form, Depression = the scores of Beck Depression Inventory II, anxiety = the scores of Beck Anxiety Inventory, anger = the scores of State-Trait Anger Expression Inventory-state, ß(d) = coefficients for the direct effect of the independent variables, ß(i) = coefficients for the indirect effect of the independent variable via a mediator. total ß(i) = coefficients for the indirect effect of the independent variable via all mediators. The effects of sex and the duration, intensity, and variety of emotional labor were adjusted throughout the model.\naThe direct effect with P < 0.05; bThe indirect effect within significant confidence interval.\nNext, we tested the above mediation model with covariates. Sex and the duration, intensity, and variety of emotional labor were entered into the model as covariates since they have significant relationship with mediators and total KOSS-SF scores. ANOVAs for sex showed that the respective scores for KOSS-SF, BDI-II, BAI, and STAXI-S were higher in females than in males in the ISW group (F = 14.17, P < 0.001; F = 17.18, P < 0.001; F = 17.98, P < 0.001; and F = 4.01, P = 0.046). The duration and intensity of emotional labor were positively correlated with the respective total scores for KOSS-SF, BDI-II, BAI, and STAXI-S, whereas the variety of emotional labor was negatively correlated with the total score for KOSS-SF (Ps < 0.05, see Table 2 for detail). Though years of career was different for the ISW and non-ISW groups, we did not include this variable in our covariates because there was no significant correlation between years of career and the respective total scores for KOSS-SF, BDI-II, BAI, nor STAX-S in the ISW group. As a result of the mediation model with covariates, the direct effect of surface acting on total KOSS-SF scores and the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II were still significant (β = 1.36; P = 0.014; β = 1.07; Boot CI, 0.48–1.87; Z = 3.45; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores. In other words, depression partially mediated the ways that surface acting when performing emotional labor affected job stress independently of the effects of sex and physical factors of emotional labor (duration, intensity, and variety; see Table 3 and Fig. 1).\nTable 2 shows the correlations among variables in the ISW group. In that correlation analysis, surface acting showed significant positive correlation with total KOSS-SF score (r = 2.99, P < 0.001), whereas deep acting was not significantly correlated with total KOSS-SF score. Thus, we conducted a parallel mediation model predicting total KOSS-SF score with surface acting as an independent variable (Table 3 and Fig. 1) but did not conduct the model using deep acting as an independent variable. The scores on the BDI-II (as a proxy for depression), BAI (as a proxy for anxiety), and STAXI-S (as a proxy for anger) were entered into the mediation model as parallel mediators. As a result, the direct effect of surface acting on total KOSS-SF scores was significant (β = 1.81, P = 0.001). In addition, the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II was significant (β = 1.38; Boot CI, 0.78–2.21; Z = 3.98; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores.\nISW = interpersonal service workers, KOSS-SF_t = the total score of Korean Standard Occupational Stress Scale Short Form, EL_dur = the duration of the Emotional Labor Scale, EL_int = the intensity of the Emotional Labor Scale, EL_var = the variety of the Emotional Labor Scale, EL_SA = the Surface Acting of the Emotional Labor Scale, EL_DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State.\nISW = interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, EL_SA = the Surface Acting of the Emotional Labor Scale, β = coefficients, Boot = bootstrapping, SE = standard Error, LLCI = lower limit confidential interval, ULCI = upper limit confidential interval, BDI-II = the Beck Depression Inventory II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State.\naThe value which sex, duration of emotional labor, intensity of emotional labor, and variety of emotional labor were adjusted; bThe value from the Sobel test.\nISW = interpersonal service workers, Surface Acting = the Surface Acting scores of Emotional Labor Scale, Job Stress = the scores of The Korean Standard Occupational Stress Scale Short Form, Depression = the scores of Beck Depression Inventory II, anxiety = the scores of Beck Anxiety Inventory, anger = the scores of State-Trait Anger Expression Inventory-state, ß(d) = coefficients for the direct effect of the independent variables, ß(i) = coefficients for the indirect effect of the independent variable via a mediator. total ß(i) = coefficients for the indirect effect of the independent variable via all mediators. The effects of sex and the duration, intensity, and variety of emotional labor were adjusted throughout the model.\naThe direct effect with P < 0.05; bThe indirect effect within significant confidence interval.\nNext, we tested the above mediation model with covariates. Sex and the duration, intensity, and variety of emotional labor were entered into the model as covariates since they have significant relationship with mediators and total KOSS-SF scores. ANOVAs for sex showed that the respective scores for KOSS-SF, BDI-II, BAI, and STAXI-S were higher in females than in males in the ISW group (F = 14.17, P < 0.001; F = 17.18, P < 0.001; F = 17.98, P < 0.001; and F = 4.01, P = 0.046). The duration and intensity of emotional labor were positively correlated with the respective total scores for KOSS-SF, BDI-II, BAI, and STAXI-S, whereas the variety of emotional labor was negatively correlated with the total score for KOSS-SF (Ps < 0.05, see Table 2 for detail). Though years of career was different for the ISW and non-ISW groups, we did not include this variable in our covariates because there was no significant correlation between years of career and the respective total scores for KOSS-SF, BDI-II, BAI, nor STAX-S in the ISW group. As a result of the mediation model with covariates, the direct effect of surface acting on total KOSS-SF scores and the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II were still significant (β = 1.36; P = 0.014; β = 1.07; Boot CI, 0.48–1.87; Z = 3.45; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores. In other words, depression partially mediated the ways that surface acting when performing emotional labor affected job stress independently of the effects of sex and physical factors of emotional labor (duration, intensity, and variety; see Table 3 and Fig. 1).", "Of the total participants (n = 461), 347 (75.27%) were women, the mean age was 32.27 ± 8.24, the mean years of education were 15.16 ± 5.05, and the mean years of career were 6.69 ± 7.33. The mean duration of emotional labor was 325.71 ± 205.72 min/day. We divided enrolled hospital employees into direct patient service workers (ISW; n = 353; 76.57%) and non-patient service workers (non-ISW; n = 71; 15.41%) based on the response to the binominal item “Does your job involve interpersonal service with patients?” Thirty-seven non-responders on that item were excluded from group analysis.\nThe ISW group consists of the following: doctors (n = 30; 8.50%), nurses (n = 185; 52.41%), pharmacists (n = 9; 2.55%), health service officials (n = 26; 7.37%), administrative officials (n = 16; 4.53%), and call center workers (n = 18; 5.10). The non-ISW group consists of the following: doctors (n = 4; 5.63%), nurses (n = 16; 22.54%), pharmacists (n = 4; 5.63%), health service officials (n = 5; 7.04%), and administrative officials (n = 24; 33.80%).\nTable 1 shows statistical values of group differences between ISW and non-ISW groups for demographic and descriptive data in detail. The proportion according to sex was different between groups and the ISW group was significantly younger, less educated, and had shorter years of career than non-ISW group. We select the sex and year of career as covariates for further analysis since the age, year of education, and year of career were highly correlated.\nISW = interpersonal service workers, non-ISW = non-interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, SA = the Surface Acting of the Emotional Labor Scale, DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = State-Trait Anger Expression Inventory-State.\naThe value which sex and years of career were adjusted.\nANOVAs for the KOSS-SF were conducted, and the ISW group showed significantly higher total score, job demand, insufficient job control, and lack of reward items for the KOSS-SF than the non-ISW group (F = 4.37, P = 0.037; F = 19.72, P < 0.001; F = 4.03, P = 0.045; F = 9.21, P = 0.003; respectively). After that, ANCOVAs adjusted for the effects of sex and the year of career were conducted. The ISW group still showed higher total score, job demand, and lack of reward items for the KOSS-SF than the non-ISW group (F = 6.09, P = 0.014; F = 19.05, P < 0.001; F = 12.68, P < 0.001; respectively), while the group difference for insufficient job control was found to be not significant.\nThe ISW group showed significantly longer duration and greater intensity in the ELS scores than the non-ISW group (F = 124.22, P < 0.001; and F = 14.79, P < 0.001; respectively). Variety did not exhibit significant differences between groups. The ISW group showed higher levels of surface acting than the non-ISW group both before and after adjusting covariates (F = 13.76, P < 0.001; and F = 22.30, P < 0.001; respectively). The level of deep acting did not differ for either group independently of covariates.\nThe BDI-II score was also significantly higher for the ISW group than for the non-ISW group as shown in the results of an ANOVA and an ANCOVA (F = 5.23, P = 0.023; and F = 4.01, P = 0.046; respectively). The BAI and STAXI-S scores did not show significant differences between the groups.", "Table 2 shows the correlations among variables in the ISW group. In that correlation analysis, surface acting showed significant positive correlation with total KOSS-SF score (r = 2.99, P < 0.001), whereas deep acting was not significantly correlated with total KOSS-SF score. Thus, we conducted a parallel mediation model predicting total KOSS-SF score with surface acting as an independent variable (Table 3 and Fig. 1) but did not conduct the model using deep acting as an independent variable. The scores on the BDI-II (as a proxy for depression), BAI (as a proxy for anxiety), and STAXI-S (as a proxy for anger) were entered into the mediation model as parallel mediators. As a result, the direct effect of surface acting on total KOSS-SF scores was significant (β = 1.81, P = 0.001). In addition, the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II was significant (β = 1.38; Boot CI, 0.78–2.21; Z = 3.98; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores.\nISW = interpersonal service workers, KOSS-SF_t = the total score of Korean Standard Occupational Stress Scale Short Form, EL_dur = the duration of the Emotional Labor Scale, EL_int = the intensity of the Emotional Labor Scale, EL_var = the variety of the Emotional Labor Scale, EL_SA = the Surface Acting of the Emotional Labor Scale, EL_DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State.\nISW = interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, EL_SA = the Surface Acting of the Emotional Labor Scale, β = coefficients, Boot = bootstrapping, SE = standard Error, LLCI = lower limit confidential interval, ULCI = upper limit confidential interval, BDI-II = the Beck Depression Inventory II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State.\naThe value which sex, duration of emotional labor, intensity of emotional labor, and variety of emotional labor were adjusted; bThe value from the Sobel test.\nISW = interpersonal service workers, Surface Acting = the Surface Acting scores of Emotional Labor Scale, Job Stress = the scores of The Korean Standard Occupational Stress Scale Short Form, Depression = the scores of Beck Depression Inventory II, anxiety = the scores of Beck Anxiety Inventory, anger = the scores of State-Trait Anger Expression Inventory-state, ß(d) = coefficients for the direct effect of the independent variables, ß(i) = coefficients for the indirect effect of the independent variable via a mediator. total ß(i) = coefficients for the indirect effect of the independent variable via all mediators. The effects of sex and the duration, intensity, and variety of emotional labor were adjusted throughout the model.\naThe direct effect with P < 0.05; bThe indirect effect within significant confidence interval.\nNext, we tested the above mediation model with covariates. Sex and the duration, intensity, and variety of emotional labor were entered into the model as covariates since they have significant relationship with mediators and total KOSS-SF scores. ANOVAs for sex showed that the respective scores for KOSS-SF, BDI-II, BAI, and STAXI-S were higher in females than in males in the ISW group (F = 14.17, P < 0.001; F = 17.18, P < 0.001; F = 17.98, P < 0.001; and F = 4.01, P = 0.046). The duration and intensity of emotional labor were positively correlated with the respective total scores for KOSS-SF, BDI-II, BAI, and STAXI-S, whereas the variety of emotional labor was negatively correlated with the total score for KOSS-SF (Ps < 0.05, see Table 2 for detail). Though years of career was different for the ISW and non-ISW groups, we did not include this variable in our covariates because there was no significant correlation between years of career and the respective total scores for KOSS-SF, BDI-II, BAI, nor STAX-S in the ISW group. As a result of the mediation model with covariates, the direct effect of surface acting on total KOSS-SF scores and the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II were still significant (β = 1.36; P = 0.014; β = 1.07; Boot CI, 0.48–1.87; Z = 3.45; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores. In other words, depression partially mediated the ways that surface acting when performing emotional labor affected job stress independently of the effects of sex and physical factors of emotional labor (duration, intensity, and variety; see Table 3 and Fig. 1).", "This study demonstrated that hospital workers who provided interpersonal services for patients regardless of occupation engaged in greater levels of emotional labor involving surface acting and showed greater levels of job stress, depression, and anger than workers who did not interact with patients. In the ISW group, surface acting was directly related to increased job stress, and depression was a partial mediator between surface acting and job stress, whereas anxiety and anger were not.\nIn our study, BDI-II score showed the greatest difference among scales for depression, anxiety, and anger between the two groups. We supposed that the depressive symptoms measured by BDI-II could be better indicators of the representative mood-related status among ISW group members than anxiety or anger. Therefore, our results are showing that depression has a significant role as a mediator in the ISW group. Prior studies also reported that depression did the key role of job stress or emotional labor. One previous study of nurses reported that 38% of the 441 nurses surveyed had depressive symptoms and indicated that both surface acting during emotional labor and job-related stress (particularly concerning job insecurity and lack of rewards) were significantly related depressive symptoms.12 A review article also suggested that work-related stressful experiences contribute to depression.21 Another study, which surveyed employees of companies reported that job stress (a subscale of job insecurity and occupational climate) related to depression. Job demand and lack of rewards were demonstrated to be significantly related to depression in males.22 These results are similar to our findings concerning the relationship between emotional labor and depression or between emotional labor and job stress. It might be that the participants in these prior studies engaged in interpersonal work with patients. In this study, the ISW group also showed higher depression score than the non-ISW group.\nEmotional expressions according to organizational needs such as surface acting could incur feelings of unpleasantness and contribute to the development of job stress and burnout.2 Some researchers suggested that emotional stress caused by inhibited expression could evolve an arousal status related with the endocrine and autonomic nervous systems.2 Long-term emotional inhibition could be related to overworking of the cardiovascular and nervous systems, decreased immune function, and cancer.22324 Previous studies suggested that emotional labor is also related to burnout. Emotional dissonance was related to emotional exhaustion,2526 and surface acting predicted depersonalization.10 Deep acting was positively associated with personal accomplishment.10 Concerning job satisfaction, surface acting during emotional labor was reported to cause negative effects.2526 The finding relating deep acting to job satisfaction negatively or positively was controversial.23 Generally, it seemed that emotional dissonance, which requires emotional regulation, might be negatively related with job satisfaction.2 The ISW group showed higher total KOSS-SF scores measuring job stress, especially for the subscales of job demand and lack of reward, than the non-ISW group. The KOSS-SF is useful toward understanding one's job stress factor through its subscales. The job demand subscale generally reflects feeling or job burden, and lack of reward reflects a feeling of insufficient reward from organization.14\nTherefore, hospital organizations must consider hospital workers' emotional labor types and provide programs for improving surface acting or for converting surface acting to deep acting, especially among workers in the ISW group. Hospital organizations must make an effort to improve meaningful subscales of job stress based on our study such as job demand and lack of reward and depression. For example, flexible working hours, job burden distribution, an appropriate reaction manual, employee protection from dangerous patients, economic or non-economic reward to workers, and control of hospital workers' depression could play positive roles in relieving job stress. Regular mental health screening and frequent chances for psychiatric consultation for hospital workers will be helpful in preventing or intervening early in depression.\nThere are four particular limitations to this study. First, though we made an effort to include a diversity of jobs within the hospital, nurses constituted nearly half of all participants. We considered service roles rather than individual job characteristics, and the higher proportion of nurses in the ISW group and of administrative officials in the non-ISW group could have influenced our results. Also, as every hospital is organized and managed differently, future studies should draw participants from multiple hospitals. Second, while the KOSS-SF is helpful to understand one's job stress factor rather than general psychosocial stress by job, it might be difficult to use total KOSS-SF scores to identify participants' general mental health according to occupation. Third, we did not consider whether any of our participants had been diagnosed with past or current psychiatric disorders. We only recruited participants who were performing their hospital jobs at the time that our research was conducted and so did not screen for psychiatric problems or other mental health histories and concerns. Doing so to determine who did and who did not have diagnosed psychiatric conditions would have been helpful in generalizing our results further. Fourth, the participants whom we drew from one particular general hospital were not representative of all workers from various environments by hospital volume or hospital characteristic (for example, public or private hospital or private clinic).\nThis study makes the contribution of suggesting that hospital workers who provide interpersonal services for patients experience job stress due to surface acting during emotional labor and that depression could potentiate this relationship. Based on these results, hospital organizations must lead policy developments that reduce the demand for surface acting during emotional labor, job stress, and depression in order to protect the mental health of hospital workers." ]
[ "intro", "methods", null, null, null, null, "results", null, null, "discussion" ]
[ "Emotional Labor", "Surface Acting", "Job Stress", "Depression" ]
INTRODUCTION: A kind service attitude toward patients is emphasized in hospitals. Many hospital workers who interact directly with patients may feel pressure in an atmosphere that leads them to perform emotional labor to be externally kind in providing service to patients. Emotional labor is the expression of emotions desired by the organization for which one works.1 Emotional labor occurs when individuals face situations in which they must manage their emotions according to the display rules regulated by the organization.2 Hochschild suggested that there are two emotional display methods: surface acting and deep acting.3 Surface acting indicates that workers regulate their emotional expressions by altering displayed feelings under the requirement of their employer. Workers who display surface acting suppress their negative emotions. In contrast, deep acting indicates that workers modify feelings to match the emotional expressions that are required by their employers. Through deep acting, workers manage their appropriate feelings within themselves.234 Morris and Feldman5 suggested dimensions of emotional labor including frequency of interactions, intensity of emotions, duration of interaction, variety of emotions required, and emotional dissonance. Usually, the emotional dissonance of emotional labor has been indicated as a factor that pushes workers into the job dissatisfaction and emotional exhaustion that mark burnout; however, the mechanisms are not clear.2 Job stress has been defined by the National Institute of Occupational Safety and Health as “the harmful physical and emotional responses that occur when the requirements of the job do not match the capabilities, resources, or needs of the worker.”6 Job stress is usually related with workers' physical and mental health, and especially with depression and anxiety,789 and could influence their occupational functioning. Emotional labor might develop into job stress, and both are known to be influenced by job characteristics and worker's individual character traits.610 The view of the National Institute of Occupational Safety and Health is that working conditions primarily influence job stress, while the individual factors of workers play additional roles in compounding this stress.6 Previous studies also suggested that job environment and individual style of emotional management were correlated to emotional labor.210 Prior studies of emotional labor and job stress among hospital workers focused on specified occupations in hospitals, such as nurses, doctors, or healthcare professions.111213 A cross-sectional study of nurses and physicians showed that emotional dissonance and display of negative emotions predicted burnout well.12 However, there are many types of occupations in hospitals. Many employees work as healthcare professionals, but others work, for example, as medical administrators and customer service workers. Even workers of the same type, such as nurses, may play various roles in the hospital. For example, some nurses work with patients in wards; others perform office work. Therefore, rather than focus on specific statuses within a hospital, we have found it appropriate for the purposes of this study to classify all hospital workers regardless of type into two categories: interpersonal service workers (ISW), who conduct face-to-face or voice-to-voice interactions with others, and non-interpersonal service workers (non-ISW). In this study, we hypothesized that the ISW group would be more related to surface acting and job stress than the non-ISW group. Therefore, we tried to determine the psychological factors (e.g., such as depression, anxiety, and anger) that might mediate the relationship between emotional labor types and job stress. METHODS: Participants We distributed 700 questionnaires to various departments of a general hospital located in Seoul, Korea. We received 461 from hospital employees. Participants self-reported answers on the questionnaire and indicated whether the character of their respective jobs required direct interaction with patients or not. We distributed 700 questionnaires to various departments of a general hospital located in Seoul, Korea. We received 461 from hospital employees. Participants self-reported answers on the questionnaire and indicated whether the character of their respective jobs required direct interaction with patients or not. Measures The participants completed the Korean Standard Occupational Stress Scale Short Form (KOSS-SF)14 to measure job stress and the Emotional Labor Scale (ELS)4 to indicate emotional labor type and characteristics. They also performed the Beck Depression Inventory-II (BDI-II),15 Beck anxiety inventory (BAI),16 and the state anger subscale of the State-Trait Anger Expression Inventory (STAXI-S)17 to measure the expected individual factors of depression, anxiety, and anger, respectively. The KOSS-SF14 is a self-questionnaire containing 24 items rated on a 4-point Likert scale and according to subscales that measure job demand, insufficient job control, interpersonal conflict, job insecurity, occupational system, lack of reward, and organizational climate. The raw scores were converted up to 100 based on calculations from Chang et al.14 Each subscale has its own contents. Job demand measures time pressure, increasing workload, insufficient rest, and multiple functioning. Insufficient job control measures noncreative work, skill underutilization, little or no decision-making, and low control. Interpersonal conflict measures inadequate supervisor support, inadequate coworker support, lack of emotional support. Job insecurity measures uncertainty and changes negative to one's job. Organizational system measures unfair organizational policy, unsatisfactory organizational support, inter-department conflict, and limitation of communication. Lack of reward measures unfair treatment, future ambiguity, and interruption of opportunity. Occupational climate measures collective culture, inconsistency of job order, authoritarian climate, and gender discrimination. Cronbach's alpha (α) for all items of the KOSS-SF was 0.83 for this study. The ELS is a self-report questionnaire with a 5-point Likert scale used to measure the duration (1 item), intensity (2 items), and variety (3 items) of emotional labor as well as surface acting (3 items) and deep acting (3 items).10 The BDI-II is a 21-item self-report questionnaire with a 4-point Likert scale scored by summing each item.15 Higher BDI-II total scores represent more severe depression.18 Cronbach's α was 0.92 for this study. The BAI is a 21-item self-report questionnaire with a 4-point Likert scale.16 Higher BAI scores represent more severe anxiety. Cronbach's α was 0.93 for this study. STAXI-S is a subscale regarding state anger from the State-Trait Anger Expression inventory. Higher STAXI-S scores indicate current experience of more angry feelings and verbal or physical responses It contains a 10-item questionnaire that is measured on a 4-point Likert scale.1719 Cronbach's α was 0.95 for this study. The participants completed the Korean Standard Occupational Stress Scale Short Form (KOSS-SF)14 to measure job stress and the Emotional Labor Scale (ELS)4 to indicate emotional labor type and characteristics. They also performed the Beck Depression Inventory-II (BDI-II),15 Beck anxiety inventory (BAI),16 and the state anger subscale of the State-Trait Anger Expression Inventory (STAXI-S)17 to measure the expected individual factors of depression, anxiety, and anger, respectively. The KOSS-SF14 is a self-questionnaire containing 24 items rated on a 4-point Likert scale and according to subscales that measure job demand, insufficient job control, interpersonal conflict, job insecurity, occupational system, lack of reward, and organizational climate. The raw scores were converted up to 100 based on calculations from Chang et al.14 Each subscale has its own contents. Job demand measures time pressure, increasing workload, insufficient rest, and multiple functioning. Insufficient job control measures noncreative work, skill underutilization, little or no decision-making, and low control. Interpersonal conflict measures inadequate supervisor support, inadequate coworker support, lack of emotional support. Job insecurity measures uncertainty and changes negative to one's job. Organizational system measures unfair organizational policy, unsatisfactory organizational support, inter-department conflict, and limitation of communication. Lack of reward measures unfair treatment, future ambiguity, and interruption of opportunity. Occupational climate measures collective culture, inconsistency of job order, authoritarian climate, and gender discrimination. Cronbach's alpha (α) for all items of the KOSS-SF was 0.83 for this study. The ELS is a self-report questionnaire with a 5-point Likert scale used to measure the duration (1 item), intensity (2 items), and variety (3 items) of emotional labor as well as surface acting (3 items) and deep acting (3 items).10 The BDI-II is a 21-item self-report questionnaire with a 4-point Likert scale scored by summing each item.15 Higher BDI-II total scores represent more severe depression.18 Cronbach's α was 0.92 for this study. The BAI is a 21-item self-report questionnaire with a 4-point Likert scale.16 Higher BAI scores represent more severe anxiety. Cronbach's α was 0.93 for this study. STAXI-S is a subscale regarding state anger from the State-Trait Anger Expression inventory. Higher STAXI-S scores indicate current experience of more angry feelings and verbal or physical responses It contains a 10-item questionnaire that is measured on a 4-point Likert scale.1719 Cronbach's α was 0.95 for this study. Statistical analysis We conducted a comparison analysis between the ISW and non-ISW groups using cross-tabulation analysis and analyses of variance (ANOVAs) / analyses of covariance (ANCOVAs) for demographic variables and all scores from the KOSS, ELS, BDI, BAI, and STAXI-S. For the ISW group, Pearson correlations and a parallel mediation analysis20 (model 4 from Hayes' mediation model) were conducted to examine the relationships among emotional labor, job stress, and psychological variables (depression, anxiety, and anger). Bootstrapping with 5,000 sampling was applied to correlation and mediation analyses. SPSS 23.0 (IBM Corp., New York, NY, USA) was used for the statistical analysis in this study. We conducted a comparison analysis between the ISW and non-ISW groups using cross-tabulation analysis and analyses of variance (ANOVAs) / analyses of covariance (ANCOVAs) for demographic variables and all scores from the KOSS, ELS, BDI, BAI, and STAXI-S. For the ISW group, Pearson correlations and a parallel mediation analysis20 (model 4 from Hayes' mediation model) were conducted to examine the relationships among emotional labor, job stress, and psychological variables (depression, anxiety, and anger). Bootstrapping with 5,000 sampling was applied to correlation and mediation analyses. SPSS 23.0 (IBM Corp., New York, NY, USA) was used for the statistical analysis in this study. Ethics statement The Institutional Review Board of the SMG-SNU Boramae Medical Center approved this study protocol (IRB No. 26-2013-54). Written informed consent was obtained from each participant. The Institutional Review Board of the SMG-SNU Boramae Medical Center approved this study protocol (IRB No. 26-2013-54). Written informed consent was obtained from each participant. Participants: We distributed 700 questionnaires to various departments of a general hospital located in Seoul, Korea. We received 461 from hospital employees. Participants self-reported answers on the questionnaire and indicated whether the character of their respective jobs required direct interaction with patients or not. Measures: The participants completed the Korean Standard Occupational Stress Scale Short Form (KOSS-SF)14 to measure job stress and the Emotional Labor Scale (ELS)4 to indicate emotional labor type and characteristics. They also performed the Beck Depression Inventory-II (BDI-II),15 Beck anxiety inventory (BAI),16 and the state anger subscale of the State-Trait Anger Expression Inventory (STAXI-S)17 to measure the expected individual factors of depression, anxiety, and anger, respectively. The KOSS-SF14 is a self-questionnaire containing 24 items rated on a 4-point Likert scale and according to subscales that measure job demand, insufficient job control, interpersonal conflict, job insecurity, occupational system, lack of reward, and organizational climate. The raw scores were converted up to 100 based on calculations from Chang et al.14 Each subscale has its own contents. Job demand measures time pressure, increasing workload, insufficient rest, and multiple functioning. Insufficient job control measures noncreative work, skill underutilization, little or no decision-making, and low control. Interpersonal conflict measures inadequate supervisor support, inadequate coworker support, lack of emotional support. Job insecurity measures uncertainty and changes negative to one's job. Organizational system measures unfair organizational policy, unsatisfactory organizational support, inter-department conflict, and limitation of communication. Lack of reward measures unfair treatment, future ambiguity, and interruption of opportunity. Occupational climate measures collective culture, inconsistency of job order, authoritarian climate, and gender discrimination. Cronbach's alpha (α) for all items of the KOSS-SF was 0.83 for this study. The ELS is a self-report questionnaire with a 5-point Likert scale used to measure the duration (1 item), intensity (2 items), and variety (3 items) of emotional labor as well as surface acting (3 items) and deep acting (3 items).10 The BDI-II is a 21-item self-report questionnaire with a 4-point Likert scale scored by summing each item.15 Higher BDI-II total scores represent more severe depression.18 Cronbach's α was 0.92 for this study. The BAI is a 21-item self-report questionnaire with a 4-point Likert scale.16 Higher BAI scores represent more severe anxiety. Cronbach's α was 0.93 for this study. STAXI-S is a subscale regarding state anger from the State-Trait Anger Expression inventory. Higher STAXI-S scores indicate current experience of more angry feelings and verbal or physical responses It contains a 10-item questionnaire that is measured on a 4-point Likert scale.1719 Cronbach's α was 0.95 for this study. Statistical analysis: We conducted a comparison analysis between the ISW and non-ISW groups using cross-tabulation analysis and analyses of variance (ANOVAs) / analyses of covariance (ANCOVAs) for demographic variables and all scores from the KOSS, ELS, BDI, BAI, and STAXI-S. For the ISW group, Pearson correlations and a parallel mediation analysis20 (model 4 from Hayes' mediation model) were conducted to examine the relationships among emotional labor, job stress, and psychological variables (depression, anxiety, and anger). Bootstrapping with 5,000 sampling was applied to correlation and mediation analyses. SPSS 23.0 (IBM Corp., New York, NY, USA) was used for the statistical analysis in this study. Ethics statement: The Institutional Review Board of the SMG-SNU Boramae Medical Center approved this study protocol (IRB No. 26-2013-54). Written informed consent was obtained from each participant. RESULTS: Comparisons between ISW and non-ISW Of the total participants (n = 461), 347 (75.27%) were women, the mean age was 32.27 ± 8.24, the mean years of education were 15.16 ± 5.05, and the mean years of career were 6.69 ± 7.33. The mean duration of emotional labor was 325.71 ± 205.72 min/day. We divided enrolled hospital employees into direct patient service workers (ISW; n = 353; 76.57%) and non-patient service workers (non-ISW; n = 71; 15.41%) based on the response to the binominal item “Does your job involve interpersonal service with patients?” Thirty-seven non-responders on that item were excluded from group analysis. The ISW group consists of the following: doctors (n = 30; 8.50%), nurses (n = 185; 52.41%), pharmacists (n = 9; 2.55%), health service officials (n = 26; 7.37%), administrative officials (n = 16; 4.53%), and call center workers (n = 18; 5.10). The non-ISW group consists of the following: doctors (n = 4; 5.63%), nurses (n = 16; 22.54%), pharmacists (n = 4; 5.63%), health service officials (n = 5; 7.04%), and administrative officials (n = 24; 33.80%). Table 1 shows statistical values of group differences between ISW and non-ISW groups for demographic and descriptive data in detail. The proportion according to sex was different between groups and the ISW group was significantly younger, less educated, and had shorter years of career than non-ISW group. We select the sex and year of career as covariates for further analysis since the age, year of education, and year of career were highly correlated. ISW = interpersonal service workers, non-ISW = non-interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, SA = the Surface Acting of the Emotional Labor Scale, DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = State-Trait Anger Expression Inventory-State. aThe value which sex and years of career were adjusted. ANOVAs for the KOSS-SF were conducted, and the ISW group showed significantly higher total score, job demand, insufficient job control, and lack of reward items for the KOSS-SF than the non-ISW group (F = 4.37, P = 0.037; F = 19.72, P < 0.001; F = 4.03, P = 0.045; F = 9.21, P = 0.003; respectively). After that, ANCOVAs adjusted for the effects of sex and the year of career were conducted. The ISW group still showed higher total score, job demand, and lack of reward items for the KOSS-SF than the non-ISW group (F = 6.09, P = 0.014; F = 19.05, P < 0.001; F = 12.68, P < 0.001; respectively), while the group difference for insufficient job control was found to be not significant. The ISW group showed significantly longer duration and greater intensity in the ELS scores than the non-ISW group (F = 124.22, P < 0.001; and F = 14.79, P < 0.001; respectively). Variety did not exhibit significant differences between groups. The ISW group showed higher levels of surface acting than the non-ISW group both before and after adjusting covariates (F = 13.76, P < 0.001; and F = 22.30, P < 0.001; respectively). The level of deep acting did not differ for either group independently of covariates. The BDI-II score was also significantly higher for the ISW group than for the non-ISW group as shown in the results of an ANOVA and an ANCOVA (F = 5.23, P = 0.023; and F = 4.01, P = 0.046; respectively). The BAI and STAXI-S scores did not show significant differences between the groups. Of the total participants (n = 461), 347 (75.27%) were women, the mean age was 32.27 ± 8.24, the mean years of education were 15.16 ± 5.05, and the mean years of career were 6.69 ± 7.33. The mean duration of emotional labor was 325.71 ± 205.72 min/day. We divided enrolled hospital employees into direct patient service workers (ISW; n = 353; 76.57%) and non-patient service workers (non-ISW; n = 71; 15.41%) based on the response to the binominal item “Does your job involve interpersonal service with patients?” Thirty-seven non-responders on that item were excluded from group analysis. The ISW group consists of the following: doctors (n = 30; 8.50%), nurses (n = 185; 52.41%), pharmacists (n = 9; 2.55%), health service officials (n = 26; 7.37%), administrative officials (n = 16; 4.53%), and call center workers (n = 18; 5.10). The non-ISW group consists of the following: doctors (n = 4; 5.63%), nurses (n = 16; 22.54%), pharmacists (n = 4; 5.63%), health service officials (n = 5; 7.04%), and administrative officials (n = 24; 33.80%). Table 1 shows statistical values of group differences between ISW and non-ISW groups for demographic and descriptive data in detail. The proportion according to sex was different between groups and the ISW group was significantly younger, less educated, and had shorter years of career than non-ISW group. We select the sex and year of career as covariates for further analysis since the age, year of education, and year of career were highly correlated. ISW = interpersonal service workers, non-ISW = non-interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, SA = the Surface Acting of the Emotional Labor Scale, DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = State-Trait Anger Expression Inventory-State. aThe value which sex and years of career were adjusted. ANOVAs for the KOSS-SF were conducted, and the ISW group showed significantly higher total score, job demand, insufficient job control, and lack of reward items for the KOSS-SF than the non-ISW group (F = 4.37, P = 0.037; F = 19.72, P < 0.001; F = 4.03, P = 0.045; F = 9.21, P = 0.003; respectively). After that, ANCOVAs adjusted for the effects of sex and the year of career were conducted. The ISW group still showed higher total score, job demand, and lack of reward items for the KOSS-SF than the non-ISW group (F = 6.09, P = 0.014; F = 19.05, P < 0.001; F = 12.68, P < 0.001; respectively), while the group difference for insufficient job control was found to be not significant. The ISW group showed significantly longer duration and greater intensity in the ELS scores than the non-ISW group (F = 124.22, P < 0.001; and F = 14.79, P < 0.001; respectively). Variety did not exhibit significant differences between groups. The ISW group showed higher levels of surface acting than the non-ISW group both before and after adjusting covariates (F = 13.76, P < 0.001; and F = 22.30, P < 0.001; respectively). The level of deep acting did not differ for either group independently of covariates. The BDI-II score was also significantly higher for the ISW group than for the non-ISW group as shown in the results of an ANOVA and an ANCOVA (F = 5.23, P = 0.023; and F = 4.01, P = 0.046; respectively). The BAI and STAXI-S scores did not show significant differences between the groups. Relationships among variables in the ISW group Table 2 shows the correlations among variables in the ISW group. In that correlation analysis, surface acting showed significant positive correlation with total KOSS-SF score (r = 2.99, P < 0.001), whereas deep acting was not significantly correlated with total KOSS-SF score. Thus, we conducted a parallel mediation model predicting total KOSS-SF score with surface acting as an independent variable (Table 3 and Fig. 1) but did not conduct the model using deep acting as an independent variable. The scores on the BDI-II (as a proxy for depression), BAI (as a proxy for anxiety), and STAXI-S (as a proxy for anger) were entered into the mediation model as parallel mediators. As a result, the direct effect of surface acting on total KOSS-SF scores was significant (β = 1.81, P = 0.001). In addition, the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II was significant (β = 1.38; Boot CI, 0.78–2.21; Z = 3.98; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores. ISW = interpersonal service workers, KOSS-SF_t = the total score of Korean Standard Occupational Stress Scale Short Form, EL_dur = the duration of the Emotional Labor Scale, EL_int = the intensity of the Emotional Labor Scale, EL_var = the variety of the Emotional Labor Scale, EL_SA = the Surface Acting of the Emotional Labor Scale, EL_DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State. ISW = interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, EL_SA = the Surface Acting of the Emotional Labor Scale, β = coefficients, Boot = bootstrapping, SE = standard Error, LLCI = lower limit confidential interval, ULCI = upper limit confidential interval, BDI-II = the Beck Depression Inventory II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State. aThe value which sex, duration of emotional labor, intensity of emotional labor, and variety of emotional labor were adjusted; bThe value from the Sobel test. ISW = interpersonal service workers, Surface Acting = the Surface Acting scores of Emotional Labor Scale, Job Stress = the scores of The Korean Standard Occupational Stress Scale Short Form, Depression = the scores of Beck Depression Inventory II, anxiety = the scores of Beck Anxiety Inventory, anger = the scores of State-Trait Anger Expression Inventory-state, ß(d) = coefficients for the direct effect of the independent variables, ß(i) = coefficients for the indirect effect of the independent variable via a mediator. total ß(i) = coefficients for the indirect effect of the independent variable via all mediators. The effects of sex and the duration, intensity, and variety of emotional labor were adjusted throughout the model. aThe direct effect with P < 0.05; bThe indirect effect within significant confidence interval. Next, we tested the above mediation model with covariates. Sex and the duration, intensity, and variety of emotional labor were entered into the model as covariates since they have significant relationship with mediators and total KOSS-SF scores. ANOVAs for sex showed that the respective scores for KOSS-SF, BDI-II, BAI, and STAXI-S were higher in females than in males in the ISW group (F = 14.17, P < 0.001; F = 17.18, P < 0.001; F = 17.98, P < 0.001; and F = 4.01, P = 0.046). The duration and intensity of emotional labor were positively correlated with the respective total scores for KOSS-SF, BDI-II, BAI, and STAXI-S, whereas the variety of emotional labor was negatively correlated with the total score for KOSS-SF (Ps < 0.05, see Table 2 for detail). Though years of career was different for the ISW and non-ISW groups, we did not include this variable in our covariates because there was no significant correlation between years of career and the respective total scores for KOSS-SF, BDI-II, BAI, nor STAX-S in the ISW group. As a result of the mediation model with covariates, the direct effect of surface acting on total KOSS-SF scores and the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II were still significant (β = 1.36; P = 0.014; β = 1.07; Boot CI, 0.48–1.87; Z = 3.45; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores. In other words, depression partially mediated the ways that surface acting when performing emotional labor affected job stress independently of the effects of sex and physical factors of emotional labor (duration, intensity, and variety; see Table 3 and Fig. 1). Table 2 shows the correlations among variables in the ISW group. In that correlation analysis, surface acting showed significant positive correlation with total KOSS-SF score (r = 2.99, P < 0.001), whereas deep acting was not significantly correlated with total KOSS-SF score. Thus, we conducted a parallel mediation model predicting total KOSS-SF score with surface acting as an independent variable (Table 3 and Fig. 1) but did not conduct the model using deep acting as an independent variable. The scores on the BDI-II (as a proxy for depression), BAI (as a proxy for anxiety), and STAXI-S (as a proxy for anger) were entered into the mediation model as parallel mediators. As a result, the direct effect of surface acting on total KOSS-SF scores was significant (β = 1.81, P = 0.001). In addition, the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II was significant (β = 1.38; Boot CI, 0.78–2.21; Z = 3.98; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores. ISW = interpersonal service workers, KOSS-SF_t = the total score of Korean Standard Occupational Stress Scale Short Form, EL_dur = the duration of the Emotional Labor Scale, EL_int = the intensity of the Emotional Labor Scale, EL_var = the variety of the Emotional Labor Scale, EL_SA = the Surface Acting of the Emotional Labor Scale, EL_DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State. ISW = interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, EL_SA = the Surface Acting of the Emotional Labor Scale, β = coefficients, Boot = bootstrapping, SE = standard Error, LLCI = lower limit confidential interval, ULCI = upper limit confidential interval, BDI-II = the Beck Depression Inventory II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State. aThe value which sex, duration of emotional labor, intensity of emotional labor, and variety of emotional labor were adjusted; bThe value from the Sobel test. ISW = interpersonal service workers, Surface Acting = the Surface Acting scores of Emotional Labor Scale, Job Stress = the scores of The Korean Standard Occupational Stress Scale Short Form, Depression = the scores of Beck Depression Inventory II, anxiety = the scores of Beck Anxiety Inventory, anger = the scores of State-Trait Anger Expression Inventory-state, ß(d) = coefficients for the direct effect of the independent variables, ß(i) = coefficients for the indirect effect of the independent variable via a mediator. total ß(i) = coefficients for the indirect effect of the independent variable via all mediators. The effects of sex and the duration, intensity, and variety of emotional labor were adjusted throughout the model. aThe direct effect with P < 0.05; bThe indirect effect within significant confidence interval. Next, we tested the above mediation model with covariates. Sex and the duration, intensity, and variety of emotional labor were entered into the model as covariates since they have significant relationship with mediators and total KOSS-SF scores. ANOVAs for sex showed that the respective scores for KOSS-SF, BDI-II, BAI, and STAXI-S were higher in females than in males in the ISW group (F = 14.17, P < 0.001; F = 17.18, P < 0.001; F = 17.98, P < 0.001; and F = 4.01, P = 0.046). The duration and intensity of emotional labor were positively correlated with the respective total scores for KOSS-SF, BDI-II, BAI, and STAXI-S, whereas the variety of emotional labor was negatively correlated with the total score for KOSS-SF (Ps < 0.05, see Table 2 for detail). Though years of career was different for the ISW and non-ISW groups, we did not include this variable in our covariates because there was no significant correlation between years of career and the respective total scores for KOSS-SF, BDI-II, BAI, nor STAX-S in the ISW group. As a result of the mediation model with covariates, the direct effect of surface acting on total KOSS-SF scores and the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II were still significant (β = 1.36; P = 0.014; β = 1.07; Boot CI, 0.48–1.87; Z = 3.45; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores. In other words, depression partially mediated the ways that surface acting when performing emotional labor affected job stress independently of the effects of sex and physical factors of emotional labor (duration, intensity, and variety; see Table 3 and Fig. 1). Comparisons between ISW and non-ISW: Of the total participants (n = 461), 347 (75.27%) were women, the mean age was 32.27 ± 8.24, the mean years of education were 15.16 ± 5.05, and the mean years of career were 6.69 ± 7.33. The mean duration of emotional labor was 325.71 ± 205.72 min/day. We divided enrolled hospital employees into direct patient service workers (ISW; n = 353; 76.57%) and non-patient service workers (non-ISW; n = 71; 15.41%) based on the response to the binominal item “Does your job involve interpersonal service with patients?” Thirty-seven non-responders on that item were excluded from group analysis. The ISW group consists of the following: doctors (n = 30; 8.50%), nurses (n = 185; 52.41%), pharmacists (n = 9; 2.55%), health service officials (n = 26; 7.37%), administrative officials (n = 16; 4.53%), and call center workers (n = 18; 5.10). The non-ISW group consists of the following: doctors (n = 4; 5.63%), nurses (n = 16; 22.54%), pharmacists (n = 4; 5.63%), health service officials (n = 5; 7.04%), and administrative officials (n = 24; 33.80%). Table 1 shows statistical values of group differences between ISW and non-ISW groups for demographic and descriptive data in detail. The proportion according to sex was different between groups and the ISW group was significantly younger, less educated, and had shorter years of career than non-ISW group. We select the sex and year of career as covariates for further analysis since the age, year of education, and year of career were highly correlated. ISW = interpersonal service workers, non-ISW = non-interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, SA = the Surface Acting of the Emotional Labor Scale, DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = State-Trait Anger Expression Inventory-State. aThe value which sex and years of career were adjusted. ANOVAs for the KOSS-SF were conducted, and the ISW group showed significantly higher total score, job demand, insufficient job control, and lack of reward items for the KOSS-SF than the non-ISW group (F = 4.37, P = 0.037; F = 19.72, P < 0.001; F = 4.03, P = 0.045; F = 9.21, P = 0.003; respectively). After that, ANCOVAs adjusted for the effects of sex and the year of career were conducted. The ISW group still showed higher total score, job demand, and lack of reward items for the KOSS-SF than the non-ISW group (F = 6.09, P = 0.014; F = 19.05, P < 0.001; F = 12.68, P < 0.001; respectively), while the group difference for insufficient job control was found to be not significant. The ISW group showed significantly longer duration and greater intensity in the ELS scores than the non-ISW group (F = 124.22, P < 0.001; and F = 14.79, P < 0.001; respectively). Variety did not exhibit significant differences between groups. The ISW group showed higher levels of surface acting than the non-ISW group both before and after adjusting covariates (F = 13.76, P < 0.001; and F = 22.30, P < 0.001; respectively). The level of deep acting did not differ for either group independently of covariates. The BDI-II score was also significantly higher for the ISW group than for the non-ISW group as shown in the results of an ANOVA and an ANCOVA (F = 5.23, P = 0.023; and F = 4.01, P = 0.046; respectively). The BAI and STAXI-S scores did not show significant differences between the groups. Relationships among variables in the ISW group: Table 2 shows the correlations among variables in the ISW group. In that correlation analysis, surface acting showed significant positive correlation with total KOSS-SF score (r = 2.99, P < 0.001), whereas deep acting was not significantly correlated with total KOSS-SF score. Thus, we conducted a parallel mediation model predicting total KOSS-SF score with surface acting as an independent variable (Table 3 and Fig. 1) but did not conduct the model using deep acting as an independent variable. The scores on the BDI-II (as a proxy for depression), BAI (as a proxy for anxiety), and STAXI-S (as a proxy for anger) were entered into the mediation model as parallel mediators. As a result, the direct effect of surface acting on total KOSS-SF scores was significant (β = 1.81, P = 0.001). In addition, the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II was significant (β = 1.38; Boot CI, 0.78–2.21; Z = 3.98; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores. ISW = interpersonal service workers, KOSS-SF_t = the total score of Korean Standard Occupational Stress Scale Short Form, EL_dur = the duration of the Emotional Labor Scale, EL_int = the intensity of the Emotional Labor Scale, EL_var = the variety of the Emotional Labor Scale, EL_SA = the Surface Acting of the Emotional Labor Scale, EL_DA = the Deep Acting of the Emotional Labor Scale, BDI-II = the Beck Depression Inventory-II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State. ISW = interpersonal service workers, KOSS-SF = The Korean Standard Occupational Stress Scale Short Form, EL_SA = the Surface Acting of the Emotional Labor Scale, β = coefficients, Boot = bootstrapping, SE = standard Error, LLCI = lower limit confidential interval, ULCI = upper limit confidential interval, BDI-II = the Beck Depression Inventory II, BAI = the Beck Anxiety Inventory, STAXI-S = the State-Trait Anger Expression Inventory-State. aThe value which sex, duration of emotional labor, intensity of emotional labor, and variety of emotional labor were adjusted; bThe value from the Sobel test. ISW = interpersonal service workers, Surface Acting = the Surface Acting scores of Emotional Labor Scale, Job Stress = the scores of The Korean Standard Occupational Stress Scale Short Form, Depression = the scores of Beck Depression Inventory II, anxiety = the scores of Beck Anxiety Inventory, anger = the scores of State-Trait Anger Expression Inventory-state, ß(d) = coefficients for the direct effect of the independent variables, ß(i) = coefficients for the indirect effect of the independent variable via a mediator. total ß(i) = coefficients for the indirect effect of the independent variable via all mediators. The effects of sex and the duration, intensity, and variety of emotional labor were adjusted throughout the model. aThe direct effect with P < 0.05; bThe indirect effect within significant confidence interval. Next, we tested the above mediation model with covariates. Sex and the duration, intensity, and variety of emotional labor were entered into the model as covariates since they have significant relationship with mediators and total KOSS-SF scores. ANOVAs for sex showed that the respective scores for KOSS-SF, BDI-II, BAI, and STAXI-S were higher in females than in males in the ISW group (F = 14.17, P < 0.001; F = 17.18, P < 0.001; F = 17.98, P < 0.001; and F = 4.01, P = 0.046). The duration and intensity of emotional labor were positively correlated with the respective total scores for KOSS-SF, BDI-II, BAI, and STAXI-S, whereas the variety of emotional labor was negatively correlated with the total score for KOSS-SF (Ps < 0.05, see Table 2 for detail). Though years of career was different for the ISW and non-ISW groups, we did not include this variable in our covariates because there was no significant correlation between years of career and the respective total scores for KOSS-SF, BDI-II, BAI, nor STAX-S in the ISW group. As a result of the mediation model with covariates, the direct effect of surface acting on total KOSS-SF scores and the indirect effect of surface acting on total KOSS-SF scores via the scores on the BDI-II were still significant (β = 1.36; P = 0.014; β = 1.07; Boot CI, 0.48–1.87; Z = 3.45; P < 0.001). The mediation effects were not significant for either BAI or STAXI-S scores. In other words, depression partially mediated the ways that surface acting when performing emotional labor affected job stress independently of the effects of sex and physical factors of emotional labor (duration, intensity, and variety; see Table 3 and Fig. 1). DISCUSSION: This study demonstrated that hospital workers who provided interpersonal services for patients regardless of occupation engaged in greater levels of emotional labor involving surface acting and showed greater levels of job stress, depression, and anger than workers who did not interact with patients. In the ISW group, surface acting was directly related to increased job stress, and depression was a partial mediator between surface acting and job stress, whereas anxiety and anger were not. In our study, BDI-II score showed the greatest difference among scales for depression, anxiety, and anger between the two groups. We supposed that the depressive symptoms measured by BDI-II could be better indicators of the representative mood-related status among ISW group members than anxiety or anger. Therefore, our results are showing that depression has a significant role as a mediator in the ISW group. Prior studies also reported that depression did the key role of job stress or emotional labor. One previous study of nurses reported that 38% of the 441 nurses surveyed had depressive symptoms and indicated that both surface acting during emotional labor and job-related stress (particularly concerning job insecurity and lack of rewards) were significantly related depressive symptoms.12 A review article also suggested that work-related stressful experiences contribute to depression.21 Another study, which surveyed employees of companies reported that job stress (a subscale of job insecurity and occupational climate) related to depression. Job demand and lack of rewards were demonstrated to be significantly related to depression in males.22 These results are similar to our findings concerning the relationship between emotional labor and depression or between emotional labor and job stress. It might be that the participants in these prior studies engaged in interpersonal work with patients. In this study, the ISW group also showed higher depression score than the non-ISW group. Emotional expressions according to organizational needs such as surface acting could incur feelings of unpleasantness and contribute to the development of job stress and burnout.2 Some researchers suggested that emotional stress caused by inhibited expression could evolve an arousal status related with the endocrine and autonomic nervous systems.2 Long-term emotional inhibition could be related to overworking of the cardiovascular and nervous systems, decreased immune function, and cancer.22324 Previous studies suggested that emotional labor is also related to burnout. Emotional dissonance was related to emotional exhaustion,2526 and surface acting predicted depersonalization.10 Deep acting was positively associated with personal accomplishment.10 Concerning job satisfaction, surface acting during emotional labor was reported to cause negative effects.2526 The finding relating deep acting to job satisfaction negatively or positively was controversial.23 Generally, it seemed that emotional dissonance, which requires emotional regulation, might be negatively related with job satisfaction.2 The ISW group showed higher total KOSS-SF scores measuring job stress, especially for the subscales of job demand and lack of reward, than the non-ISW group. The KOSS-SF is useful toward understanding one's job stress factor through its subscales. The job demand subscale generally reflects feeling or job burden, and lack of reward reflects a feeling of insufficient reward from organization.14 Therefore, hospital organizations must consider hospital workers' emotional labor types and provide programs for improving surface acting or for converting surface acting to deep acting, especially among workers in the ISW group. Hospital organizations must make an effort to improve meaningful subscales of job stress based on our study such as job demand and lack of reward and depression. For example, flexible working hours, job burden distribution, an appropriate reaction manual, employee protection from dangerous patients, economic or non-economic reward to workers, and control of hospital workers' depression could play positive roles in relieving job stress. Regular mental health screening and frequent chances for psychiatric consultation for hospital workers will be helpful in preventing or intervening early in depression. There are four particular limitations to this study. First, though we made an effort to include a diversity of jobs within the hospital, nurses constituted nearly half of all participants. We considered service roles rather than individual job characteristics, and the higher proportion of nurses in the ISW group and of administrative officials in the non-ISW group could have influenced our results. Also, as every hospital is organized and managed differently, future studies should draw participants from multiple hospitals. Second, while the KOSS-SF is helpful to understand one's job stress factor rather than general psychosocial stress by job, it might be difficult to use total KOSS-SF scores to identify participants' general mental health according to occupation. Third, we did not consider whether any of our participants had been diagnosed with past or current psychiatric disorders. We only recruited participants who were performing their hospital jobs at the time that our research was conducted and so did not screen for psychiatric problems or other mental health histories and concerns. Doing so to determine who did and who did not have diagnosed psychiatric conditions would have been helpful in generalizing our results further. Fourth, the participants whom we drew from one particular general hospital were not representative of all workers from various environments by hospital volume or hospital characteristic (for example, public or private hospital or private clinic). This study makes the contribution of suggesting that hospital workers who provide interpersonal services for patients experience job stress due to surface acting during emotional labor and that depression could potentiate this relationship. Based on these results, hospital organizations must lead policy developments that reduce the demand for surface acting during emotional labor, job stress, and depression in order to protect the mental health of hospital workers.
Background: We divided hospital workers into two groups according to whether one was an interpersonal service worker (ISW) or was not (non-ISW). We then explored differences between these groups in job stress and emotional labor type and investigated the mediating factors influencing their relationships. Methods: Our participants included both ISW (n = 353) and non-ISW (n = 71) hospital workers. We administered the Korean Standard Occupational Stress Scale Short Form to measure job stress and the Emotional Labor Scale to indicate both emotional labor type and characteristics. We also administered the Beck Depression Inventory-II to indicate the mediating factors of depressive symptoms, the Beck Anxiety Inventory to indicate the mediating factors of anxiety, and the State Anger Subscale of the State-Trait Anger Expression inventory to indicate the mediating factors of anger. Results: The ISW group showed more severe job stress than the non-ISW group over a significantly longer duration, with greater intensity, and with higher level of surface acting. The ISW group showed a significant positive correlation between surface acting and job stress and no significant correlation between deep acting and job stress. Parallel mediation analysis showed that for ISWs surface acting was directly related to increased job stress, indirectly related to depression, and unrelated to anxiety and anger. Conclusions: The ISW group displayed more surface acting and job stress in its emotional labor than the non-ISW group. In the ISW group, surface acting during emotional labor was positively correlated with job stress. Depression partially mediated their relationship.
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9,196
297
[ 49, 496, 134, 36, 796, 975 ]
10
[ "isw", "emotional", "job", "emotional labor", "labor", "acting", "group", "scores", "koss", "isw group" ]
[ "labor expression emotions", "job stress emotional", "workers modify feelings", "acting emotional labor", "hospital workers emotional" ]
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[CONTENT] Emotional Labor | Surface Acting | Job Stress | Depression [SUMMARY]
[CONTENT] Emotional Labor | Surface Acting | Job Stress | Depression [SUMMARY]
[CONTENT] Emotional Labor | Surface Acting | Job Stress | Depression [SUMMARY]
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[CONTENT] Emotional Labor | Surface Acting | Job Stress | Depression [SUMMARY]
null
[CONTENT] Adult | Emotions | Female | Humans | Job Satisfaction | Male | Occupational Stress | Republic of Korea | Stress, Psychological | Surveys and Questionnaires [SUMMARY]
[CONTENT] Adult | Emotions | Female | Humans | Job Satisfaction | Male | Occupational Stress | Republic of Korea | Stress, Psychological | Surveys and Questionnaires [SUMMARY]
[CONTENT] Adult | Emotions | Female | Humans | Job Satisfaction | Male | Occupational Stress | Republic of Korea | Stress, Psychological | Surveys and Questionnaires [SUMMARY]
null
[CONTENT] Adult | Emotions | Female | Humans | Job Satisfaction | Male | Occupational Stress | Republic of Korea | Stress, Psychological | Surveys and Questionnaires [SUMMARY]
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[CONTENT] labor expression emotions | job stress emotional | workers modify feelings | acting emotional labor | hospital workers emotional [SUMMARY]
[CONTENT] labor expression emotions | job stress emotional | workers modify feelings | acting emotional labor | hospital workers emotional [SUMMARY]
[CONTENT] labor expression emotions | job stress emotional | workers modify feelings | acting emotional labor | hospital workers emotional [SUMMARY]
null
[CONTENT] labor expression emotions | job stress emotional | workers modify feelings | acting emotional labor | hospital workers emotional [SUMMARY]
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[CONTENT] isw | emotional | job | emotional labor | labor | acting | group | scores | koss | isw group [SUMMARY]
[CONTENT] isw | emotional | job | emotional labor | labor | acting | group | scores | koss | isw group [SUMMARY]
[CONTENT] isw | emotional | job | emotional labor | labor | acting | group | scores | koss | isw group [SUMMARY]
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[CONTENT] isw | emotional | job | emotional labor | labor | acting | group | scores | koss | isw group [SUMMARY]
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[CONTENT] workers | emotional | emotions | job | display | emotional labor | labor | stress | acting | job stress [SUMMARY]
[CONTENT] measures | questionnaire | job | point | point likert | point likert scale | likert | likert scale | scale | items [SUMMARY]
[CONTENT] isw | group | 001 | scores | sf | koss sf | acting | koss | total | isw group [SUMMARY]
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[CONTENT] isw | emotional | job | labor | emotional labor | acting | group | scores | scale | workers [SUMMARY]
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[CONTENT] two | ISW ||| [SUMMARY]
[CONTENT] ISW | 353 | non-ISW | 71 ||| the Korean Standard Occupational Stress Scale Short Form | the Emotional Labor Scale ||| the Beck Depression Inventory-II | the Beck Anxiety Inventory | the State Anger Subscale | the State-Trait Anger Expression [SUMMARY]
[CONTENT] ISW | non-ISW ||| ISW ||| [SUMMARY]
null
[CONTENT] two | ISW ||| ||| ISW | 353 | non-ISW | 71 ||| the Korean Standard Occupational Stress Scale Short Form | the Emotional Labor Scale ||| the Beck Depression Inventory-II | the Beck Anxiety Inventory | the State Anger Subscale | the State-Trait Anger Expression ||| ||| ISW | non-ISW ||| ISW ||| ||| ISW | non-ISW ||| ISW ||| [SUMMARY]
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A case-control study of prevalence of anemia among patients with type 2 diabetes.
27142617
Anemia is defined as a reduction in the hemoglobin concentration of blood, which consequently reduces the oxygen-carrying capacity of red blood cells such that they are unable to meet the body's physiological needs. Several reports have indicated that anemia mostly occurs in patients with diabetes with renal insufficiency while limited studies have reported the incidence of anemia in people with diabetes prior to evidence of renal impairment. Other studies have also identified anemia as a risk factor for the need for renal replacement therapy in diabetes. Understanding the pathogenesis of anemia associated with diabetes may lead to the development of interventions to optimize outcomes in these patients. The aim of this study was therefore to determine the prevalence of anemia among patients with type 2 diabetes.
BACKGROUND
A total of 100 (50 with type 2 diabetes and 50 controls) participants were recruited for our study. Participants' blood samples were analyzed for fasting blood glucose, full blood count and renal function tests among others. The prevalence of anemia was then determined statistically.
METHODS
A high incidence of anemia was observed in the cases. Of the patients with diabetes, 84.8% had a hemoglobin concentration that was significantly less (males 11.16±1.83 and females 10.41±1.49) than the controls (males 14.25±1.78 and females 12.53±1.14). Renal insufficiency determined by serum creatinine level of >1.5 mg/dL, estimated glomerular filtration rate <60 ml/minute/1.73 m2, and erythropoietin levels was also observed to be high in the cases (54.0%; with mean creatinine concentration of 3.43±1.73 and erythropoietin 6.35±1.28 mIU/mL). A significantly increased fasting blood glucose, urea, sodium, potassium, and calcium ions were observed in the cases (7.99±1.30, 5.19±1.99, 140.90±6.98, 4.86±0.53 and 1.47±0.31 respectively) as compared to the controls (4.66±0.54, 3.56±2.11, 135.51±6.84, 4.40±0.58 and 1.28±0.26 respectively). Finally, a significant association between hemoglobin concentration and fasting blood glucose was also observed in the cases.
RESULTS
The findings suggest that a high incidence of anemia is likely to occur in patients with poorly controlled diabetes and in patients with diabetes and renal insufficiency.
CONCLUSIONS
[ "Adult", "Aged", "Anemia", "Blood Glucose", "Calcium", "Case-Control Studies", "Creatinine", "Diabetes Mellitus, Type 2", "Erythropoietin", "Female", "Ghana", "Hemoglobins", "Humans", "Male", "Middle Aged", "Potassium", "Prevalence", "Renal Insufficiency", "Sodium", "Urea" ]
4855820
Background
Deficiency in the oxygen-carrying capacity of blood due to a diminished erythrocyte mass or reduction in the hemoglobin (Hb) concentration of the blood may indicate anemia [1]. This leads to the blood not being able to meet the body’s physiological needs. It is caused by either an excessive destruction or diminished production of red blood cells [2]. Anemia is associated with increased perinatal mortality, child morbidity and mortality, impaired mental development, immune incompetence, increased susceptibility to lead poisoning, and decreased performance at work [3]. Anemia has a high prevalence and is considered a public health problem affecting developing and developed countries. It occurs at all stages of life, especially in pregnant women and children [4]. Globally, 1.62 billion people are anemic, corresponding to 24.8 % of the global population. The highest prevalence of 47.4 % is in preschool-age children while the lowest prevalence of 12.7 % is in men [5]. Data from World Health Organization (WHO) regional estimates, which were generated for preschool-age children, pregnant women, and non-pregnant women, indicated that the highest proportion of people affected are in Africa (47.5 to 67.6 %), while the greatest number affected are in Southeast Asia where 315 million individuals in the three population groups are affected [5]. In Ghana, anemia was ranked as the fourth leading reason for hospital admissions and the second factor contributing to death after a review of the disease profile and pathology reports of selected hospitals [4]. Diabetes mellitus (DM) is a non-infectious disease that also has a high prevalence worldwide [6]. It is a carbohydrate metabolism disorder which results in hyperglycemia due to either absolute insulin deficiency or reduced tissue response to insulin or both [6]. Diabetes, especially when poorly controlled, leads to complications such as nephropathy, retinopathy, and neuropathy as well as several disordered metabolic processes including oxidative stress which causes oxidative damage to tissues and cells [7]. Anemia is one of the commonest blood disorders seen in patients with diabetes [8]. Many research studies have reported that anemia mostly occurs in patients with diabetes who also have renal insufficiency [9]. A few other studies have also reported an incidence of anemia in diabetics prior to evidence of renal impairment [10]. Anemia occurs earlier and at a greater degree in patients presenting with diabetic nephropathy than those presenting with other causes of renal failure [10]. Developing countries including Ghana carry the most significant proportion of the reported cases of anemia whose etiology is often multifactorial. The main causes of anemia may include: dietary iron deficiency; infectious diseases such as malaria, hookworm, and schistosomiasis; micronutrient deficiencies including folate, vitamin B12 and vitamin A; or inherited conditions that affect red blood cells such as thalassemia and sickle cell disease [11]. Again, people with chronic illnesses such as kidney problems, cancer, diabetes, and related conditions are at a higher risk for developing anemia. However, the most significant contributor to the onset of anemia is iron deficiency which has often been used as synonymous to anemia, and the prevalence of anemia used as a proxy for it [12]. Of the cases of anemia, 50 % are therefore attributable to iron deficiency [13], but this proportion could vary among population groups in different areas according to local conditions. Low dietary intake of iron, poor absorption of iron from diets high in phytate or phenolic compounds, and period of life when iron requirements are especially high (that is, growth and pregnancy) are the main risk factors of iron deficiency anemia [12]. Blood loss resulting from menstruation and parasitic infestation such as hookworm, Ascaris, and schistosomiasis also contribute to the lowering of Hb concentration resulting in anemia. Malaria, cancer, tuberculosis, and HIV can also contribute to the burden of anemia. An increase in the risk of anemia could also result from deficiencies in copper and riboflavin. The impact of hemoglobinopathies on anemia prevalence also needs to be considered within some populations [12]. The different causes of anemia may work in concert, so in a single individual, various nutrient deficiencies, chronic illnesses and different infestations may all play a role [14]. It therefore remains important to establish in various populations the role that different causative factors play in the overall alarming prevalence of anemia [15]. Vitamin B12 deficiency and folic acid deficiency lead to megaloblastic anemia that results from inhibition of DNA synthesis during red blood cell production [16]. The mechanism of this phenomenon is loss of B12-dependent folate recycling, followed by folate-deficiency loss of nucleic acid synthesis, leading to defects in DNA synthesis. Vitamin B12 deficiency alone in the presence of sufficient folate will not cause the syndrome. Megaloblastic anemia that is not due to hypovitaminosis may be caused by antimetabolites that poison DNA production directly, such as some chemotherapeutic or antimicrobial agents (azathioprine or trimethoprim) [17]. The pathological state of megaloblastosis is characterized by many large immature and dysfunctional red blood cells (megaloblasts) in the bone marrow and by hypersegmented neutrophils [18]. Anemia is also the most frequent hematological manifestation in patients with malignant diseases [19]. It may be the first diagnostic clue to an underlying malignant disease and may contribute to the patient’s symptoms from the disease as well as affect treatment decisions. It is known that tumor-associated cytokine production is a major factor in the anemia of malignancy. In fact, numerous in vitro studies have illustrated the central role of tumor necrosis factor-alpha (TNF-α) in the pathogenesis of anemia [20]. Other cytokines, such as interleukin-6 (IL-6), IL-1 and interferon-γ, have also been shown to inhibit erythroid precursors in vitro, albeit to a lesser extent [21]. The duration and severity of anemia seems to be related to the type of cancer, extent of disease, and myelosuppressive potency of chemotherapy [22]. The most common form of anemia seen in patients with cancer or hematological malignancies results from the underproduction of red cells: a hypoproliferative anemia characterized by a low reticulocyte production index and the absence of marrow erythroid hyperplasia despite significant persistent anemia. Again, one of the hallmarks of malignancy-associated anemia is the reduction in endogenous erythropoietin (EPO) levels with respect to the degree of anemia [23]. Malignancy can affect bone marrow as well (bone marrow fibrosis) and this can also result in anemia [24]. Bone marrow has a rich blood supply and is therefore a common site for a metastasis to develop [24]. Cancers of the breast, prostate, and lung are the commonest type to do this although almost all cancers have this capability. Once in the marrow the cancer cells can multiply easily and the tumor deposit enlarges, occupying more and more of the marrow space, so reducing the amount of blood-producing marrow and the subsequent anemia [25]. There are some tumors that arise from the bone marrow tissue itself, such as some types of leukemia and multiple myeloma. As these are more directly involved with the bone marrow’s function they are more commonly associated with anemia. A normocytic normochromic anemia is also common in patients with a variety of inflammatory disorders and there are many contributing factors [26]. In inflammation, from whatever cause, IL-6 induces the liver to produce hepcidin. Hepcidin decreases iron absorption from the bowel and blocks iron utilization in the bone marrow. Iron may be abundant in the bone marrow, but is not absorbed and is not in the circulation, and so is not available for erythropoiesis. Again, some chemotherapeutic agents induce anemia by impairing hematopoiesis [27]. In addition, nephrotoxic effects of particular cytotoxic agents, such as platinum salts, can also lead to the persistence of anemia through reduced EPO production by the kidney [28]. The myelosuppressive effect of cytotoxic agents might accumulate over the course of chemotherapy. This results in a steady increase in the incidence of anemia with every new cycle of chemotherapy. Furthermore, many diseases, conditions, and factors can cause our body to destroy its red blood cells leading to hemolytic anemia [29]. These causes can be inherited or acquired but sometimes the cause is not known. Hemolytic anemia can lead to many health problems, such as fatigue, pain, arrhythmias, and heart failure [30]. There are many types of hemolytic anemias and treatment and outlook depend on what type and how severe it is. The condition can develop suddenly or slowly and symptoms can range from mild to severe. Hemolytic anemia often can be successfully treated or controlled. Mild hemolytic anemia may need no treatment whereas severe hemolytic anemia will require prompt and proper treatment, or it may be fatal. Inherited forms of hemolytic anemia are lifelong conditions that may require ongoing treatment but acquired forms may go away if the cause of the condition is found and corrected [31]. The following are some examples of diseases that lead to hemolytic anemia: sickle cell disease, thalassemias, hereditary spherocytosis, glucose-6-phosphate dehydrogenase (G6PD) deficiency, pyruvate kinase deficiency, acquired hemolytic anemias, immune hemolytic anemia, and mechanical hemolytic anemias [32–34]. Results from a study by Rossing et al. showed a significant association between a lower Hb concentration and a decline in glomerular filtration rate (GFR) [35]. Other recent studies have also identified anemia as a risk factor for the need for renal replacement therapy in diabetes [36]. Furthermore, anemia has a negative impact on the survival of patients with diabetes and is considered to be an important cardiovascular risk factor associated with diabetes and renal disease [35, 36]. There is therefore a need for more studies on the incidence and prevalence of anemia among patients with diabetes particularly those with renal malfunction. This study therefore aimed to determine the prevalence of anemia due to renal insufficiency among patients with type 2 diabetes and the outcome showed a high incidence of anemia among them. The findings suggest that anemia is likely to occur in patients with diabetes with renal insufficiency, particularly when it is poorly controlled. It is therefore believed that presentation of the outcome will help increase the level of awareness and understanding of anemia among patients with diabetes, which will eventually lead to the development of interventions to optimize treatment outcomes in them.
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Results
Participants’ demographics The study included 100 participants, consisting of 50 participants with diabetes (15 males/35 females) and 50 participants without diabetes (14 males/36 females) who consented to participate in the study. Mean ages recorded for cases and controls were 55.62±10.37 years and 44.11±15.30 years respectively (Table 1). The medical records of the participants were examined and they were taken through a physical examination for signs and symptoms of anemia. However, none of them showed any signs of anemia, possibly due to the fact that there may be no symptoms in some people who have anemia. Other diseases such as cancer and myelodysplasia as well as other causes of anemia as discussed in the introduction were ruled out among the study group.Table 1Summary of demographic characteristics of participants with diabetes (cases) and controlsParametersCasesControls n 5050Male/female15/3514/36Age (years)55.62±10.3744.11±15.30 Summary of demographic characteristics of participants with diabetes (cases) and controls Table 2 shows the hematological parameters of the blood samples we analyzed that were obtained from the study participants. Hb concentration was observed to be significantly decreased in the cases as compared to the controls. Ferritin and total iron-binding capacity (TIBC) levels were found to be normal in most of the cases and lower in the control participants who were found to be anemic. The mean cell volumes (MCVs) were higher in the cases than the controls.Table 2Hematological parameters in participants with diabetes (cases) and controlsParametersCasesControls p valueHbMale (13.5–17.5 g/dL)11.16±1.8314.25±1.780.000*Female (12.0–16.0 g/dL)10.41±1.4912.53±1.140.000*FerritinMale (20–200 μg/L)83.66±1.1991.96±1.150.000*Female (20–120 μg/L)50.40±1.1055.40±1.290.000*MCV (80–95 fL)86.19±1.0984.02±1.110.000*TIBC (255–450 μg/dl)315.30±2.68360.10±2.840.001* Hb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant) Hematological parameters in participants with diabetes (cases) and controls Hb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant) Table 3 shows the biochemical parameters of the blood samples we analyzed that were obtained from the study participants. A significant increase in fasting blood glucose (FBG) concentration was observed in the cases compared to controls (p=0.000). Significant increases in urea, sodium (Na), potassium (K), and calcium (Ca) concentrations were also observed in the cases as compared to controls. Creatinine concentrations were almost similar in both cases and controls although they were on the high side. EPO and estimated glomerular filtration rate (eGFR) levels were lower in cases than in controls. Glycated Hb (HbA1c) levels were also found to be higher in cases (particularly those with anemia) than in controls.Table 3Biochemical parameters in participants with diabetes (cases) and controlsParametersCasesControls p valueFBG (3.8–6.1 mmol/L)7.99±1.304.66±0.540.000*Erythropoietin (4.1–19.5 mIU/mL)6.35±1.2812.82±1.990.000*eGFRFemale (80–110 ml/minute/1.73 m2)85.41±1.4987.53±1.140.000*Male (90–120 ml/minute/1.73 m2)90.16±1.8394.25±1.780.000*Urea (7–18 mg/dL)5.19±1.993.56±2.110.000*Na (135–145 mmol/L)140.90±6.98135.51±6.840.000*K (3.5–5.0 mmol/L)4.86±0.534.40±0.580.000*Cl (95–105 mmol/L)105.30±3.95103.40±3.650.000*Ca (2.1–2.8 mmol/L)1.47±0.311.28±0.260.001*Creatinine (0.6–1.5 mg/dL)2.35±1.742.37±1.350.945HbA1c (4–7 %, 7–8 %, ≥8.5 %)7.80±1.044.61±1.940.001* Ca calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant) Biochemical parameters in participants with diabetes (cases) and controls Ca calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant) From Table 4, it was seen that participants with diabetes had a high incidence of anemia in both males and females (86.7 % and 82.9 % respectively) and 19.4 % of the females in the control group were also anemic. Anemia was defined by an Hb <13.0 g/dL in men and Hb <12.0 g/dL in women [20]. Three types of anemia were seen morphologically and by the MCVs obtained: hypochromic microcytic (MCV <80 fL), normochromic normocytic (MCV 80–95 fL), and normochromic macrocytic (MCV>95 fL).Table 4Incidence of anemia in participants with diabetes (cases) and controls according to genderCasesAnemic (%)Non-anemic (%)Male13 (86.7)2 (13.3)Female29 (82.9)6 (17.1)ControlsMale1 (7.1)13 (92.9)Female7 (19.4)29 (80.6) Incidence of anemia in participants with diabetes (cases) and controls according to gender Renal insufficiency was determined by serum creatinine level >1.5 mg/dL and eGFR <60 ml/minute/1.73 m2. A high incidence of renal insufficiency (54.0 %) was observed in the participants with diabetes compared to controls (Table 5). Out of the 42 (84 %) cases who were anemic, 31 (73.8 %) showed low eGFR, which is an indication of renal insufficiency, with the remaining 11 (26.2 %) having higher eGFR and therefore normal renal function. Among the controls, 9 (18 %) were found to be anemic and 7 (14 %) had high eGFR while the remaining 2 (4 %) had low eGFRs.Table 5Incidence of renal insufficiency in participants with diabetes and controlsPresent (%)Absent (%)Participants with diabetes27 (54.0)23 (46.0)Mean3.43±1.731.07±0.28Controls13 (26.0)37 (74.0)Mean3.13±1.150.99±0.23 Incidence of renal insufficiency in participants with diabetes and controls A positive correlation was seen between the degree of anemia and HbA1c in patients with diabetes, supporting the hypothesis that there is a higher incidence of anemia among poorly controlled diabetics. Also a negative correlation was observed between Hb and hyperglycemia (FBG) in the diabetic population according to gender (Fig. 1). However, only the female population’s correlation was significant (Table 6).Fig. 1Correlation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobinTable 6Correlation between hemoglobin and hyperglycemiaPearson’s correlations R p valueHb and HG (female)–0.465*0.005*Hb and HG (male)–0.3820.159 Hb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed) Correlation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobin Correlation between hemoglobin and hyperglycemia Hb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed) The study included 100 participants, consisting of 50 participants with diabetes (15 males/35 females) and 50 participants without diabetes (14 males/36 females) who consented to participate in the study. Mean ages recorded for cases and controls were 55.62±10.37 years and 44.11±15.30 years respectively (Table 1). The medical records of the participants were examined and they were taken through a physical examination for signs and symptoms of anemia. However, none of them showed any signs of anemia, possibly due to the fact that there may be no symptoms in some people who have anemia. Other diseases such as cancer and myelodysplasia as well as other causes of anemia as discussed in the introduction were ruled out among the study group.Table 1Summary of demographic characteristics of participants with diabetes (cases) and controlsParametersCasesControls n 5050Male/female15/3514/36Age (years)55.62±10.3744.11±15.30 Summary of demographic characteristics of participants with diabetes (cases) and controls Table 2 shows the hematological parameters of the blood samples we analyzed that were obtained from the study participants. Hb concentration was observed to be significantly decreased in the cases as compared to the controls. Ferritin and total iron-binding capacity (TIBC) levels were found to be normal in most of the cases and lower in the control participants who were found to be anemic. The mean cell volumes (MCVs) were higher in the cases than the controls.Table 2Hematological parameters in participants with diabetes (cases) and controlsParametersCasesControls p valueHbMale (13.5–17.5 g/dL)11.16±1.8314.25±1.780.000*Female (12.0–16.0 g/dL)10.41±1.4912.53±1.140.000*FerritinMale (20–200 μg/L)83.66±1.1991.96±1.150.000*Female (20–120 μg/L)50.40±1.1055.40±1.290.000*MCV (80–95 fL)86.19±1.0984.02±1.110.000*TIBC (255–450 μg/dl)315.30±2.68360.10±2.840.001* Hb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant) Hematological parameters in participants with diabetes (cases) and controls Hb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant) Table 3 shows the biochemical parameters of the blood samples we analyzed that were obtained from the study participants. A significant increase in fasting blood glucose (FBG) concentration was observed in the cases compared to controls (p=0.000). Significant increases in urea, sodium (Na), potassium (K), and calcium (Ca) concentrations were also observed in the cases as compared to controls. Creatinine concentrations were almost similar in both cases and controls although they were on the high side. EPO and estimated glomerular filtration rate (eGFR) levels were lower in cases than in controls. Glycated Hb (HbA1c) levels were also found to be higher in cases (particularly those with anemia) than in controls.Table 3Biochemical parameters in participants with diabetes (cases) and controlsParametersCasesControls p valueFBG (3.8–6.1 mmol/L)7.99±1.304.66±0.540.000*Erythropoietin (4.1–19.5 mIU/mL)6.35±1.2812.82±1.990.000*eGFRFemale (80–110 ml/minute/1.73 m2)85.41±1.4987.53±1.140.000*Male (90–120 ml/minute/1.73 m2)90.16±1.8394.25±1.780.000*Urea (7–18 mg/dL)5.19±1.993.56±2.110.000*Na (135–145 mmol/L)140.90±6.98135.51±6.840.000*K (3.5–5.0 mmol/L)4.86±0.534.40±0.580.000*Cl (95–105 mmol/L)105.30±3.95103.40±3.650.000*Ca (2.1–2.8 mmol/L)1.47±0.311.28±0.260.001*Creatinine (0.6–1.5 mg/dL)2.35±1.742.37±1.350.945HbA1c (4–7 %, 7–8 %, ≥8.5 %)7.80±1.044.61±1.940.001* Ca calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant) Biochemical parameters in participants with diabetes (cases) and controls Ca calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant) From Table 4, it was seen that participants with diabetes had a high incidence of anemia in both males and females (86.7 % and 82.9 % respectively) and 19.4 % of the females in the control group were also anemic. Anemia was defined by an Hb <13.0 g/dL in men and Hb <12.0 g/dL in women [20]. Three types of anemia were seen morphologically and by the MCVs obtained: hypochromic microcytic (MCV <80 fL), normochromic normocytic (MCV 80–95 fL), and normochromic macrocytic (MCV>95 fL).Table 4Incidence of anemia in participants with diabetes (cases) and controls according to genderCasesAnemic (%)Non-anemic (%)Male13 (86.7)2 (13.3)Female29 (82.9)6 (17.1)ControlsMale1 (7.1)13 (92.9)Female7 (19.4)29 (80.6) Incidence of anemia in participants with diabetes (cases) and controls according to gender Renal insufficiency was determined by serum creatinine level >1.5 mg/dL and eGFR <60 ml/minute/1.73 m2. A high incidence of renal insufficiency (54.0 %) was observed in the participants with diabetes compared to controls (Table 5). Out of the 42 (84 %) cases who were anemic, 31 (73.8 %) showed low eGFR, which is an indication of renal insufficiency, with the remaining 11 (26.2 %) having higher eGFR and therefore normal renal function. Among the controls, 9 (18 %) were found to be anemic and 7 (14 %) had high eGFR while the remaining 2 (4 %) had low eGFRs.Table 5Incidence of renal insufficiency in participants with diabetes and controlsPresent (%)Absent (%)Participants with diabetes27 (54.0)23 (46.0)Mean3.43±1.731.07±0.28Controls13 (26.0)37 (74.0)Mean3.13±1.150.99±0.23 Incidence of renal insufficiency in participants with diabetes and controls A positive correlation was seen between the degree of anemia and HbA1c in patients with diabetes, supporting the hypothesis that there is a higher incidence of anemia among poorly controlled diabetics. Also a negative correlation was observed between Hb and hyperglycemia (FBG) in the diabetic population according to gender (Fig. 1). However, only the female population’s correlation was significant (Table 6).Fig. 1Correlation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobinTable 6Correlation between hemoglobin and hyperglycemiaPearson’s correlations R p valueHb and HG (female)–0.465*0.005*Hb and HG (male)–0.3820.159 Hb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed) Correlation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobin Correlation between hemoglobin and hyperglycemia Hb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed)
Conclusions
The findings of our study suggest that the high incidence of renal insufficiency observed in the participants with diabetes, among other factors, could have influenced the high incidence of anemic conditions seen. Anemia is therefore likely to occur in poorly controlled diabetes and in patients with diabetes with renal insufficiency. Including routine hematological (Hb) tests in the treatment of diabetes and considering factors such as glycemic control and renal sufficiency among others could help reduce anemia in diabetes and the possible complications that may come with it.
[ "Participants’ demographics", "Study design", "Materials", "Ethical consideration", "Specimen collection and processing", "Full blood count test", "Renal function test", "FBG estimation", "Statistical analysis" ]
[ "The study included 100 participants, consisting of 50 participants with diabetes (15 males/35 females) and 50 participants without diabetes (14 males/36 females) who consented to participate in the study. Mean ages recorded for cases and controls were 55.62±10.37 years and 44.11±15.30 years respectively (Table 1). The medical records of the participants were examined and they were taken through a physical examination for signs and symptoms of anemia. However, none of them showed any signs of anemia, possibly due to the fact that there may be no symptoms in some people who have anemia. Other diseases such as cancer and myelodysplasia as well as other causes of anemia as discussed in the introduction were ruled out among the study group.Table 1Summary of demographic characteristics of participants with diabetes (cases) and controlsParametersCasesControls\nn\n5050Male/female15/3514/36Age (years)55.62±10.3744.11±15.30\nSummary of demographic characteristics of participants with diabetes (cases) and controls\nTable 2 shows the hematological parameters of the blood samples we analyzed that were obtained from the study participants. Hb concentration was observed to be significantly decreased in the cases as compared to the controls. Ferritin and total iron-binding capacity (TIBC) levels were found to be normal in most of the cases and lower in the control participants who were found to be anemic. The mean cell volumes (MCVs) were higher in the cases than the controls.Table 2Hematological parameters in participants with diabetes (cases) and controlsParametersCasesControls\np valueHbMale (13.5–17.5 g/dL)11.16±1.8314.25±1.780.000*Female (12.0–16.0 g/dL)10.41±1.4912.53±1.140.000*FerritinMale (20–200 μg/L)83.66±1.1991.96±1.150.000*Female (20–120 μg/L)50.40±1.1055.40±1.290.000*MCV (80–95 fL)86.19±1.0984.02±1.110.000*TIBC (255–450 μg/dl)315.30±2.68360.10±2.840.001*\nHb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant)\nHematological parameters in participants with diabetes (cases) and controls\n\nHb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant)\nTable 3 shows the biochemical parameters of the blood samples we analyzed that were obtained from the study participants. A significant increase in fasting blood glucose (FBG) concentration was observed in the cases compared to controls (p=0.000). Significant increases in urea, sodium (Na), potassium (K), and calcium (Ca) concentrations were also observed in the cases as compared to controls. Creatinine concentrations were almost similar in both cases and controls although they were on the high side. EPO and estimated glomerular filtration rate (eGFR) levels were lower in cases than in controls. Glycated Hb (HbA1c) levels were also found to be higher in cases (particularly those with anemia) than in controls.Table 3Biochemical parameters in participants with diabetes (cases) and controlsParametersCasesControls\np valueFBG (3.8–6.1 mmol/L)7.99±1.304.66±0.540.000*Erythropoietin (4.1–19.5 mIU/mL)6.35±1.2812.82±1.990.000*eGFRFemale (80–110 ml/minute/1.73 m2)85.41±1.4987.53±1.140.000*Male (90–120 ml/minute/1.73 m2)90.16±1.8394.25±1.780.000*Urea (7–18 mg/dL)5.19±1.993.56±2.110.000*Na (135–145 mmol/L)140.90±6.98135.51±6.840.000*K (3.5–5.0 mmol/L)4.86±0.534.40±0.580.000*Cl (95–105 mmol/L)105.30±3.95103.40±3.650.000*Ca (2.1–2.8 mmol/L)1.47±0.311.28±0.260.001*Creatinine (0.6–1.5 mg/dL)2.35±1.742.37±1.350.945HbA1c (4–7 %, 7–8 %, ≥8.5 %)7.80±1.044.61±1.940.001*\nCa calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant)\nBiochemical parameters in participants with diabetes (cases) and controls\n\nCa calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant)\nFrom Table 4, it was seen that participants with diabetes had a high incidence of anemia in both males and females (86.7 % and 82.9 % respectively) and 19.4 % of the females in the control group were also anemic. Anemia was defined by an Hb <13.0 g/dL in men and Hb <12.0 g/dL in women [20]. Three types of anemia were seen morphologically and by the MCVs obtained: hypochromic microcytic (MCV <80 fL), normochromic normocytic (MCV 80–95 fL), and normochromic macrocytic (MCV>95 fL).Table 4Incidence of anemia in participants with diabetes (cases) and controls according to genderCasesAnemic (%)Non-anemic (%)Male13 (86.7)2 (13.3)Female29 (82.9)6 (17.1)ControlsMale1 (7.1)13 (92.9)Female7 (19.4)29 (80.6)\nIncidence of anemia in participants with diabetes (cases) and controls according to gender\nRenal insufficiency was determined by serum creatinine level >1.5 mg/dL and eGFR <60 ml/minute/1.73 m2. A high incidence of renal insufficiency (54.0 %) was observed in the participants with diabetes compared to controls (Table 5). Out of the 42 (84 %) cases who were anemic, 31 (73.8 %) showed low eGFR, which is an indication of renal insufficiency, with the remaining 11 (26.2 %) having higher eGFR and therefore normal renal function. Among the controls, 9 (18 %) were found to be anemic and 7 (14 %) had high eGFR while the remaining 2 (4 %) had low eGFRs.Table 5Incidence of renal insufficiency in participants with diabetes and controlsPresent (%)Absent (%)Participants with diabetes27 (54.0)23 (46.0)Mean3.43±1.731.07±0.28Controls13 (26.0)37 (74.0)Mean3.13±1.150.99±0.23\nIncidence of renal insufficiency in participants with diabetes and controls\nA positive correlation was seen between the degree of anemia and HbA1c in patients with diabetes, supporting the hypothesis that there is a higher incidence of anemia among poorly controlled diabetics. Also a negative correlation was observed between Hb and hyperglycemia (FBG) in the diabetic population according to gender (Fig. 1). However, only the female population’s correlation was significant (Table 6).Fig. 1Correlation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobinTable 6Correlation between hemoglobin and hyperglycemiaPearson’s correlations\nR\n\np valueHb and HG (female)–0.465*0.005*Hb and HG (male)–0.3820.159\nHb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed)\nCorrelation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobin\nCorrelation between hemoglobin and hyperglycemia\n\nHb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed)", "The study was a case–control study conducted between the months of March and August 2014.", "Some of the materials used included: ABX Micros 60 Haematology Analyzer, Starlyte V & Human Reader chemistry analyzers, 5 ml K2EDTA test tubes, plain test tubes, fluoride tubes, syringes, needles, absolute methanol, and cotton wool.", "Ethical clearance for this research in accordance with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards was sought from the Ethics and Protocol Review Committee of the School of Biomedical and Allied Health Sciences, University of Ghana, Legon (ED ID NO:SAHS-ET./10359975/2013-2014). All the participants gave their informed consent before their samples were collected.", "From each participant, 6 ml of an overnight fasting venous blood was collected as follows: 2 ml into an ethylenediaminetetraacetate (EDTA) tube for hematological profile, 2 ml into a plain tube for renal function tests (RFTs), and 2 ml into a fluoride tube for FBG and HbA1c analysis.", "Full blood count comprising red cell count, Hb, white cell count and differentials, platelets as well as Hb indices were determined from the whole blood in the EDTA test tubes using ABX Micros 60 Haematology Analyzer (Horiba-ABX, Montpellier, France). Ferritin and TIBC were also done.", "This was determined using two chemistry analyzers (Starlyte V, USA for the electrolyte measurements; Human Reader, Germany for urea and creatinine measurements). Blood urea nitrogen, EPO, electrolytes, creatinine, and eGFR were done for each participant to assess their renal function.", "Glucose is oxidized in the presence of glucose oxidase to form glucuronic acid and hydrogen peroxide. Hydrogen peroxide in the presence of peroxidase reacts with 4-aminophenazone and phenol to produce a colored quinone imine complex which is measured against a reagent blank at an absorbance of 550 nm.\nThe FBG for each participant was estimated from the fluoride tube.", "The data obtained were cleaned and entered into Statistical Package for Social Scientists (SPSS) version 20.0. Descriptive statistics such as frequencies and percentages were used to summarize categorical variables such as gender. Continuous variables such as Hb concentration, ferritin concentration, and TIBC were summarized using mean and standard deviation. An independent t-test was used to determine mean differences between means of categorical variables with two categories while an ANOVA was used for those with three categories. A p value of 0.05 was interpreted as significant." ]
[ null, null, null, null, null, null, null, null, null ]
[ "Background", "Results", "Participants’ demographics", "Discussion", "Conclusions", "Methods", "Study design", "Materials", "Ethical consideration", "Specimen collection and processing", "Full blood count test", "Renal function test", "FBG estimation", "Statistical analysis" ]
[ "Deficiency in the oxygen-carrying capacity of blood due to a diminished erythrocyte mass or reduction in the hemoglobin (Hb) concentration of the blood may indicate anemia [1]. This leads to the blood not being able to meet the body’s physiological needs. It is caused by either an excessive destruction or diminished production of red blood cells [2]. Anemia is associated with increased perinatal mortality, child morbidity and mortality, impaired mental development, immune incompetence, increased susceptibility to lead poisoning, and decreased performance at work [3].\nAnemia has a high prevalence and is considered a public health problem affecting developing and developed countries. It occurs at all stages of life, especially in pregnant women and children [4]. Globally, 1.62 billion people are anemic, corresponding to 24.8 % of the global population. The highest prevalence of 47.4 % is in preschool-age children while the lowest prevalence of 12.7 % is in men [5]. Data from World Health Organization (WHO) regional estimates, which were generated for preschool-age children, pregnant women, and non-pregnant women, indicated that the highest proportion of people affected are in Africa (47.5 to 67.6 %), while the greatest number affected are in Southeast Asia where 315 million individuals in the three population groups are affected [5]. In Ghana, anemia was ranked as the fourth leading reason for hospital admissions and the second factor contributing to death after a review of the disease profile and pathology reports of selected hospitals [4].\nDiabetes mellitus (DM) is a non-infectious disease that also has a high prevalence worldwide [6]. It is a carbohydrate metabolism disorder which results in hyperglycemia due to either absolute insulin deficiency or reduced tissue response to insulin or both [6]. Diabetes, especially when poorly controlled, leads to complications such as nephropathy, retinopathy, and neuropathy as well as several disordered metabolic processes including oxidative stress which causes oxidative damage to tissues and cells [7]. Anemia is one of the commonest blood disorders seen in patients with diabetes [8]. Many research studies have reported that anemia mostly occurs in patients with diabetes who also have renal insufficiency [9]. A few other studies have also reported an incidence of anemia in diabetics prior to evidence of renal impairment [10]. Anemia occurs earlier and at a greater degree in patients presenting with diabetic nephropathy than those presenting with other causes of renal failure [10].\nDeveloping countries including Ghana carry the most significant proportion of the reported cases of anemia whose etiology is often multifactorial. The main causes of anemia may include: dietary iron deficiency; infectious diseases such as malaria, hookworm, and schistosomiasis; micronutrient deficiencies including folate, vitamin B12 and vitamin A; or inherited conditions that affect red blood cells such as thalassemia and sickle cell disease [11]. Again, people with chronic illnesses such as kidney problems, cancer, diabetes, and related conditions are at a higher risk for developing anemia. However, the most significant contributor to the onset of anemia is iron deficiency which has often been used as synonymous to anemia, and the prevalence of anemia used as a proxy for it [12].\nOf the cases of anemia, 50 % are therefore attributable to iron deficiency [13], but this proportion could vary among population groups in different areas according to local conditions. Low dietary intake of iron, poor absorption of iron from diets high in phytate or phenolic compounds, and period of life when iron requirements are especially high (that is, growth and pregnancy) are the main risk factors of iron deficiency anemia [12]. Blood loss resulting from menstruation and parasitic infestation such as hookworm, Ascaris, and schistosomiasis also contribute to the lowering of Hb concentration resulting in anemia. Malaria, cancer, tuberculosis, and HIV can also contribute to the burden of anemia. An increase in the risk of anemia could also result from deficiencies in copper and riboflavin. The impact of hemoglobinopathies on anemia prevalence also needs to be considered within some populations [12]. The different causes of anemia may work in concert, so in a single individual, various nutrient deficiencies, chronic illnesses and different infestations may all play a role [14]. It therefore remains important to establish in various populations the role that different causative factors play in the overall alarming prevalence of anemia [15].\nVitamin B12 deficiency and folic acid deficiency lead to megaloblastic anemia that results from inhibition of DNA synthesis during red blood cell production [16]. The mechanism of this phenomenon is loss of B12-dependent folate recycling, followed by folate-deficiency loss of nucleic acid synthesis, leading to defects in DNA synthesis. Vitamin B12 deficiency alone in the presence of sufficient folate will not cause the syndrome. Megaloblastic anemia that is not due to hypovitaminosis may be caused by antimetabolites that poison DNA production directly, such as some chemotherapeutic or antimicrobial agents (azathioprine or trimethoprim) [17]. The pathological state of megaloblastosis is characterized by many large immature and dysfunctional red blood cells (megaloblasts) in the bone marrow and by hypersegmented neutrophils [18].\nAnemia is also the most frequent hematological manifestation in patients with malignant diseases [19]. It may be the first diagnostic clue to an underlying malignant disease and may contribute to the patient’s symptoms from the disease as well as affect treatment decisions. It is known that tumor-associated cytokine production is a major factor in the anemia of malignancy. In fact, numerous in vitro studies have illustrated the central role of tumor necrosis factor-alpha (TNF-α) in the pathogenesis of anemia [20]. Other cytokines, such as interleukin-6 (IL-6), IL-1 and interferon-γ, have also been shown to inhibit erythroid precursors in vitro, albeit to a lesser extent [21]. The duration and severity of anemia seems to be related to the type of cancer, extent of disease, and myelosuppressive potency of chemotherapy [22]. The most common form of anemia seen in patients with cancer or hematological malignancies results from the underproduction of red cells: a hypoproliferative anemia characterized by a low reticulocyte production index and the absence of marrow erythroid hyperplasia despite significant persistent anemia. Again, one of the hallmarks of malignancy-associated anemia is the reduction in endogenous erythropoietin (EPO) levels with respect to the degree of anemia [23].\nMalignancy can affect bone marrow as well (bone marrow fibrosis) and this can also result in anemia [24]. Bone marrow has a rich blood supply and is therefore a common site for a metastasis to develop [24]. Cancers of the breast, prostate, and lung are the commonest type to do this although almost all cancers have this capability. Once in the marrow the cancer cells can multiply easily and the tumor deposit enlarges, occupying more and more of the marrow space, so reducing the amount of blood-producing marrow and the subsequent anemia [25]. There are some tumors that arise from the bone marrow tissue itself, such as some types of leukemia and multiple myeloma. As these are more directly involved with the bone marrow’s function they are more commonly associated with anemia.\nA normocytic normochromic anemia is also common in patients with a variety of inflammatory disorders and there are many contributing factors [26]. In inflammation, from whatever cause, IL-6 induces the liver to produce hepcidin. Hepcidin decreases iron absorption from the bowel and blocks iron utilization in the bone marrow. Iron may be abundant in the bone marrow, but is not absorbed and is not in the circulation, and so is not available for erythropoiesis. Again, some chemotherapeutic agents induce anemia by impairing hematopoiesis [27]. In addition, nephrotoxic effects of particular cytotoxic agents, such as platinum salts, can also lead to the persistence of anemia through reduced EPO production by the kidney [28]. The myelosuppressive effect of cytotoxic agents might accumulate over the course of chemotherapy. This results in a steady increase in the incidence of anemia with every new cycle of chemotherapy.\nFurthermore, many diseases, conditions, and factors can cause our body to destroy its red blood cells leading to hemolytic anemia [29]. These causes can be inherited or acquired but sometimes the cause is not known. Hemolytic anemia can lead to many health problems, such as fatigue, pain, arrhythmias, and heart failure [30]. There are many types of hemolytic anemias and treatment and outlook depend on what type and how severe it is. The condition can develop suddenly or slowly and symptoms can range from mild to severe. Hemolytic anemia often can be successfully treated or controlled. Mild hemolytic anemia may need no treatment whereas severe hemolytic anemia will require prompt and proper treatment, or it may be fatal. Inherited forms of hemolytic anemia are lifelong conditions that may require ongoing treatment but acquired forms may go away if the cause of the condition is found and corrected [31]. The following are some examples of diseases that lead to hemolytic anemia: sickle cell disease, thalassemias, hereditary spherocytosis, glucose-6-phosphate dehydrogenase (G6PD) deficiency, pyruvate kinase deficiency, acquired hemolytic anemias, immune hemolytic anemia, and mechanical hemolytic anemias [32–34].\nResults from a study by Rossing et al. showed a significant association between a lower Hb concentration and a decline in glomerular filtration rate (GFR) [35]. Other recent studies have also identified anemia as a risk factor for the need for renal replacement therapy in diabetes [36]. Furthermore, anemia has a negative impact on the survival of patients with diabetes and is considered to be an important cardiovascular risk factor associated with diabetes and renal disease [35, 36]. There is therefore a need for more studies on the incidence and prevalence of anemia among patients with diabetes particularly those with renal malfunction. This study therefore aimed to determine the prevalence of anemia due to renal insufficiency among patients with type 2 diabetes and the outcome showed a high incidence of anemia among them. The findings suggest that anemia is likely to occur in patients with diabetes with renal insufficiency, particularly when it is poorly controlled. It is therefore believed that presentation of the outcome will help increase the level of awareness and understanding of anemia among patients with diabetes, which will eventually lead to the development of interventions to optimize treatment outcomes in them.", " Participants’ demographics The study included 100 participants, consisting of 50 participants with diabetes (15 males/35 females) and 50 participants without diabetes (14 males/36 females) who consented to participate in the study. Mean ages recorded for cases and controls were 55.62±10.37 years and 44.11±15.30 years respectively (Table 1). The medical records of the participants were examined and they were taken through a physical examination for signs and symptoms of anemia. However, none of them showed any signs of anemia, possibly due to the fact that there may be no symptoms in some people who have anemia. Other diseases such as cancer and myelodysplasia as well as other causes of anemia as discussed in the introduction were ruled out among the study group.Table 1Summary of demographic characteristics of participants with diabetes (cases) and controlsParametersCasesControls\nn\n5050Male/female15/3514/36Age (years)55.62±10.3744.11±15.30\nSummary of demographic characteristics of participants with diabetes (cases) and controls\nTable 2 shows the hematological parameters of the blood samples we analyzed that were obtained from the study participants. Hb concentration was observed to be significantly decreased in the cases as compared to the controls. Ferritin and total iron-binding capacity (TIBC) levels were found to be normal in most of the cases and lower in the control participants who were found to be anemic. The mean cell volumes (MCVs) were higher in the cases than the controls.Table 2Hematological parameters in participants with diabetes (cases) and controlsParametersCasesControls\np valueHbMale (13.5–17.5 g/dL)11.16±1.8314.25±1.780.000*Female (12.0–16.0 g/dL)10.41±1.4912.53±1.140.000*FerritinMale (20–200 μg/L)83.66±1.1991.96±1.150.000*Female (20–120 μg/L)50.40±1.1055.40±1.290.000*MCV (80–95 fL)86.19±1.0984.02±1.110.000*TIBC (255–450 μg/dl)315.30±2.68360.10±2.840.001*\nHb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant)\nHematological parameters in participants with diabetes (cases) and controls\n\nHb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant)\nTable 3 shows the biochemical parameters of the blood samples we analyzed that were obtained from the study participants. A significant increase in fasting blood glucose (FBG) concentration was observed in the cases compared to controls (p=0.000). Significant increases in urea, sodium (Na), potassium (K), and calcium (Ca) concentrations were also observed in the cases as compared to controls. Creatinine concentrations were almost similar in both cases and controls although they were on the high side. EPO and estimated glomerular filtration rate (eGFR) levels were lower in cases than in controls. Glycated Hb (HbA1c) levels were also found to be higher in cases (particularly those with anemia) than in controls.Table 3Biochemical parameters in participants with diabetes (cases) and controlsParametersCasesControls\np valueFBG (3.8–6.1 mmol/L)7.99±1.304.66±0.540.000*Erythropoietin (4.1–19.5 mIU/mL)6.35±1.2812.82±1.990.000*eGFRFemale (80–110 ml/minute/1.73 m2)85.41±1.4987.53±1.140.000*Male (90–120 ml/minute/1.73 m2)90.16±1.8394.25±1.780.000*Urea (7–18 mg/dL)5.19±1.993.56±2.110.000*Na (135–145 mmol/L)140.90±6.98135.51±6.840.000*K (3.5–5.0 mmol/L)4.86±0.534.40±0.580.000*Cl (95–105 mmol/L)105.30±3.95103.40±3.650.000*Ca (2.1–2.8 mmol/L)1.47±0.311.28±0.260.001*Creatinine (0.6–1.5 mg/dL)2.35±1.742.37±1.350.945HbA1c (4–7 %, 7–8 %, ≥8.5 %)7.80±1.044.61±1.940.001*\nCa calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant)\nBiochemical parameters in participants with diabetes (cases) and controls\n\nCa calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant)\nFrom Table 4, it was seen that participants with diabetes had a high incidence of anemia in both males and females (86.7 % and 82.9 % respectively) and 19.4 % of the females in the control group were also anemic. Anemia was defined by an Hb <13.0 g/dL in men and Hb <12.0 g/dL in women [20]. Three types of anemia were seen morphologically and by the MCVs obtained: hypochromic microcytic (MCV <80 fL), normochromic normocytic (MCV 80–95 fL), and normochromic macrocytic (MCV>95 fL).Table 4Incidence of anemia in participants with diabetes (cases) and controls according to genderCasesAnemic (%)Non-anemic (%)Male13 (86.7)2 (13.3)Female29 (82.9)6 (17.1)ControlsMale1 (7.1)13 (92.9)Female7 (19.4)29 (80.6)\nIncidence of anemia in participants with diabetes (cases) and controls according to gender\nRenal insufficiency was determined by serum creatinine level >1.5 mg/dL and eGFR <60 ml/minute/1.73 m2. A high incidence of renal insufficiency (54.0 %) was observed in the participants with diabetes compared to controls (Table 5). Out of the 42 (84 %) cases who were anemic, 31 (73.8 %) showed low eGFR, which is an indication of renal insufficiency, with the remaining 11 (26.2 %) having higher eGFR and therefore normal renal function. Among the controls, 9 (18 %) were found to be anemic and 7 (14 %) had high eGFR while the remaining 2 (4 %) had low eGFRs.Table 5Incidence of renal insufficiency in participants with diabetes and controlsPresent (%)Absent (%)Participants with diabetes27 (54.0)23 (46.0)Mean3.43±1.731.07±0.28Controls13 (26.0)37 (74.0)Mean3.13±1.150.99±0.23\nIncidence of renal insufficiency in participants with diabetes and controls\nA positive correlation was seen between the degree of anemia and HbA1c in patients with diabetes, supporting the hypothesis that there is a higher incidence of anemia among poorly controlled diabetics. Also a negative correlation was observed between Hb and hyperglycemia (FBG) in the diabetic population according to gender (Fig. 1). However, only the female population’s correlation was significant (Table 6).Fig. 1Correlation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobinTable 6Correlation between hemoglobin and hyperglycemiaPearson’s correlations\nR\n\np valueHb and HG (female)–0.465*0.005*Hb and HG (male)–0.3820.159\nHb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed)\nCorrelation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobin\nCorrelation between hemoglobin and hyperglycemia\n\nHb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed)\nThe study included 100 participants, consisting of 50 participants with diabetes (15 males/35 females) and 50 participants without diabetes (14 males/36 females) who consented to participate in the study. Mean ages recorded for cases and controls were 55.62±10.37 years and 44.11±15.30 years respectively (Table 1). The medical records of the participants were examined and they were taken through a physical examination for signs and symptoms of anemia. However, none of them showed any signs of anemia, possibly due to the fact that there may be no symptoms in some people who have anemia. Other diseases such as cancer and myelodysplasia as well as other causes of anemia as discussed in the introduction were ruled out among the study group.Table 1Summary of demographic characteristics of participants with diabetes (cases) and controlsParametersCasesControls\nn\n5050Male/female15/3514/36Age (years)55.62±10.3744.11±15.30\nSummary of demographic characteristics of participants with diabetes (cases) and controls\nTable 2 shows the hematological parameters of the blood samples we analyzed that were obtained from the study participants. Hb concentration was observed to be significantly decreased in the cases as compared to the controls. Ferritin and total iron-binding capacity (TIBC) levels were found to be normal in most of the cases and lower in the control participants who were found to be anemic. The mean cell volumes (MCVs) were higher in the cases than the controls.Table 2Hematological parameters in participants with diabetes (cases) and controlsParametersCasesControls\np valueHbMale (13.5–17.5 g/dL)11.16±1.8314.25±1.780.000*Female (12.0–16.0 g/dL)10.41±1.4912.53±1.140.000*FerritinMale (20–200 μg/L)83.66±1.1991.96±1.150.000*Female (20–120 μg/L)50.40±1.1055.40±1.290.000*MCV (80–95 fL)86.19±1.0984.02±1.110.000*TIBC (255–450 μg/dl)315.30±2.68360.10±2.840.001*\nHb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant)\nHematological parameters in participants with diabetes (cases) and controls\n\nHb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant)\nTable 3 shows the biochemical parameters of the blood samples we analyzed that were obtained from the study participants. A significant increase in fasting blood glucose (FBG) concentration was observed in the cases compared to controls (p=0.000). Significant increases in urea, sodium (Na), potassium (K), and calcium (Ca) concentrations were also observed in the cases as compared to controls. Creatinine concentrations were almost similar in both cases and controls although they were on the high side. EPO and estimated glomerular filtration rate (eGFR) levels were lower in cases than in controls. Glycated Hb (HbA1c) levels were also found to be higher in cases (particularly those with anemia) than in controls.Table 3Biochemical parameters in participants with diabetes (cases) and controlsParametersCasesControls\np valueFBG (3.8–6.1 mmol/L)7.99±1.304.66±0.540.000*Erythropoietin (4.1–19.5 mIU/mL)6.35±1.2812.82±1.990.000*eGFRFemale (80–110 ml/minute/1.73 m2)85.41±1.4987.53±1.140.000*Male (90–120 ml/minute/1.73 m2)90.16±1.8394.25±1.780.000*Urea (7–18 mg/dL)5.19±1.993.56±2.110.000*Na (135–145 mmol/L)140.90±6.98135.51±6.840.000*K (3.5–5.0 mmol/L)4.86±0.534.40±0.580.000*Cl (95–105 mmol/L)105.30±3.95103.40±3.650.000*Ca (2.1–2.8 mmol/L)1.47±0.311.28±0.260.001*Creatinine (0.6–1.5 mg/dL)2.35±1.742.37±1.350.945HbA1c (4–7 %, 7–8 %, ≥8.5 %)7.80±1.044.61±1.940.001*\nCa calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant)\nBiochemical parameters in participants with diabetes (cases) and controls\n\nCa calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant)\nFrom Table 4, it was seen that participants with diabetes had a high incidence of anemia in both males and females (86.7 % and 82.9 % respectively) and 19.4 % of the females in the control group were also anemic. Anemia was defined by an Hb <13.0 g/dL in men and Hb <12.0 g/dL in women [20]. Three types of anemia were seen morphologically and by the MCVs obtained: hypochromic microcytic (MCV <80 fL), normochromic normocytic (MCV 80–95 fL), and normochromic macrocytic (MCV>95 fL).Table 4Incidence of anemia in participants with diabetes (cases) and controls according to genderCasesAnemic (%)Non-anemic (%)Male13 (86.7)2 (13.3)Female29 (82.9)6 (17.1)ControlsMale1 (7.1)13 (92.9)Female7 (19.4)29 (80.6)\nIncidence of anemia in participants with diabetes (cases) and controls according to gender\nRenal insufficiency was determined by serum creatinine level >1.5 mg/dL and eGFR <60 ml/minute/1.73 m2. A high incidence of renal insufficiency (54.0 %) was observed in the participants with diabetes compared to controls (Table 5). Out of the 42 (84 %) cases who were anemic, 31 (73.8 %) showed low eGFR, which is an indication of renal insufficiency, with the remaining 11 (26.2 %) having higher eGFR and therefore normal renal function. Among the controls, 9 (18 %) were found to be anemic and 7 (14 %) had high eGFR while the remaining 2 (4 %) had low eGFRs.Table 5Incidence of renal insufficiency in participants with diabetes and controlsPresent (%)Absent (%)Participants with diabetes27 (54.0)23 (46.0)Mean3.43±1.731.07±0.28Controls13 (26.0)37 (74.0)Mean3.13±1.150.99±0.23\nIncidence of renal insufficiency in participants with diabetes and controls\nA positive correlation was seen between the degree of anemia and HbA1c in patients with diabetes, supporting the hypothesis that there is a higher incidence of anemia among poorly controlled diabetics. Also a negative correlation was observed between Hb and hyperglycemia (FBG) in the diabetic population according to gender (Fig. 1). However, only the female population’s correlation was significant (Table 6).Fig. 1Correlation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobinTable 6Correlation between hemoglobin and hyperglycemiaPearson’s correlations\nR\n\np valueHb and HG (female)–0.465*0.005*Hb and HG (male)–0.3820.159\nHb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed)\nCorrelation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobin\nCorrelation between hemoglobin and hyperglycemia\n\nHb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed)", "The study included 100 participants, consisting of 50 participants with diabetes (15 males/35 females) and 50 participants without diabetes (14 males/36 females) who consented to participate in the study. Mean ages recorded for cases and controls were 55.62±10.37 years and 44.11±15.30 years respectively (Table 1). The medical records of the participants were examined and they were taken through a physical examination for signs and symptoms of anemia. However, none of them showed any signs of anemia, possibly due to the fact that there may be no symptoms in some people who have anemia. Other diseases such as cancer and myelodysplasia as well as other causes of anemia as discussed in the introduction were ruled out among the study group.Table 1Summary of demographic characteristics of participants with diabetes (cases) and controlsParametersCasesControls\nn\n5050Male/female15/3514/36Age (years)55.62±10.3744.11±15.30\nSummary of demographic characteristics of participants with diabetes (cases) and controls\nTable 2 shows the hematological parameters of the blood samples we analyzed that were obtained from the study participants. Hb concentration was observed to be significantly decreased in the cases as compared to the controls. Ferritin and total iron-binding capacity (TIBC) levels were found to be normal in most of the cases and lower in the control participants who were found to be anemic. The mean cell volumes (MCVs) were higher in the cases than the controls.Table 2Hematological parameters in participants with diabetes (cases) and controlsParametersCasesControls\np valueHbMale (13.5–17.5 g/dL)11.16±1.8314.25±1.780.000*Female (12.0–16.0 g/dL)10.41±1.4912.53±1.140.000*FerritinMale (20–200 μg/L)83.66±1.1991.96±1.150.000*Female (20–120 μg/L)50.40±1.1055.40±1.290.000*MCV (80–95 fL)86.19±1.0984.02±1.110.000*TIBC (255–450 μg/dl)315.30±2.68360.10±2.840.001*\nHb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant)\nHematological parameters in participants with diabetes (cases) and controls\n\nHb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant)\nTable 3 shows the biochemical parameters of the blood samples we analyzed that were obtained from the study participants. A significant increase in fasting blood glucose (FBG) concentration was observed in the cases compared to controls (p=0.000). Significant increases in urea, sodium (Na), potassium (K), and calcium (Ca) concentrations were also observed in the cases as compared to controls. Creatinine concentrations were almost similar in both cases and controls although they were on the high side. EPO and estimated glomerular filtration rate (eGFR) levels were lower in cases than in controls. Glycated Hb (HbA1c) levels were also found to be higher in cases (particularly those with anemia) than in controls.Table 3Biochemical parameters in participants with diabetes (cases) and controlsParametersCasesControls\np valueFBG (3.8–6.1 mmol/L)7.99±1.304.66±0.540.000*Erythropoietin (4.1–19.5 mIU/mL)6.35±1.2812.82±1.990.000*eGFRFemale (80–110 ml/minute/1.73 m2)85.41±1.4987.53±1.140.000*Male (90–120 ml/minute/1.73 m2)90.16±1.8394.25±1.780.000*Urea (7–18 mg/dL)5.19±1.993.56±2.110.000*Na (135–145 mmol/L)140.90±6.98135.51±6.840.000*K (3.5–5.0 mmol/L)4.86±0.534.40±0.580.000*Cl (95–105 mmol/L)105.30±3.95103.40±3.650.000*Ca (2.1–2.8 mmol/L)1.47±0.311.28±0.260.001*Creatinine (0.6–1.5 mg/dL)2.35±1.742.37±1.350.945HbA1c (4–7 %, 7–8 %, ≥8.5 %)7.80±1.044.61±1.940.001*\nCa calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant)\nBiochemical parameters in participants with diabetes (cases) and controls\n\nCa calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant)\nFrom Table 4, it was seen that participants with diabetes had a high incidence of anemia in both males and females (86.7 % and 82.9 % respectively) and 19.4 % of the females in the control group were also anemic. Anemia was defined by an Hb <13.0 g/dL in men and Hb <12.0 g/dL in women [20]. Three types of anemia were seen morphologically and by the MCVs obtained: hypochromic microcytic (MCV <80 fL), normochromic normocytic (MCV 80–95 fL), and normochromic macrocytic (MCV>95 fL).Table 4Incidence of anemia in participants with diabetes (cases) and controls according to genderCasesAnemic (%)Non-anemic (%)Male13 (86.7)2 (13.3)Female29 (82.9)6 (17.1)ControlsMale1 (7.1)13 (92.9)Female7 (19.4)29 (80.6)\nIncidence of anemia in participants with diabetes (cases) and controls according to gender\nRenal insufficiency was determined by serum creatinine level >1.5 mg/dL and eGFR <60 ml/minute/1.73 m2. A high incidence of renal insufficiency (54.0 %) was observed in the participants with diabetes compared to controls (Table 5). Out of the 42 (84 %) cases who were anemic, 31 (73.8 %) showed low eGFR, which is an indication of renal insufficiency, with the remaining 11 (26.2 %) having higher eGFR and therefore normal renal function. Among the controls, 9 (18 %) were found to be anemic and 7 (14 %) had high eGFR while the remaining 2 (4 %) had low eGFRs.Table 5Incidence of renal insufficiency in participants with diabetes and controlsPresent (%)Absent (%)Participants with diabetes27 (54.0)23 (46.0)Mean3.43±1.731.07±0.28Controls13 (26.0)37 (74.0)Mean3.13±1.150.99±0.23\nIncidence of renal insufficiency in participants with diabetes and controls\nA positive correlation was seen between the degree of anemia and HbA1c in patients with diabetes, supporting the hypothesis that there is a higher incidence of anemia among poorly controlled diabetics. Also a negative correlation was observed between Hb and hyperglycemia (FBG) in the diabetic population according to gender (Fig. 1). However, only the female population’s correlation was significant (Table 6).Fig. 1Correlation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobinTable 6Correlation between hemoglobin and hyperglycemiaPearson’s correlations\nR\n\np valueHb and HG (female)–0.465*0.005*Hb and HG (male)–0.3820.159\nHb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed)\nCorrelation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobin\nCorrelation between hemoglobin and hyperglycemia\n\nHb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed)", "Anemia is defined as a low level of Hb in the blood and evidenced by fewer numbers of functioning red blood cells. The WHO considers men with a Hb concentration <13.0 g/dL or packed cell volume (PCV) <39 % anemic and women with Hb <12.0 g/dL or PCV <36 % to be anemic [37]. Data from our study show a high incidence of anemia (86.7 % in males; 82.9 % in females) in participants with diabetes, predicting the necessity to assess patients with diabetes for anemia during diagnosis and management. HbA1c was found to be positively correlated whereas FBG was found to be negatively correlated with anemia in the participants with diabetes. This suggests that the incidence of anemia is likely to increase in poorly controlled diabetes, and therefore reducing blood glucose levels could help reduce the risk of anemia in diabetic populations.\nOut of the 42 (84 %) cases who were anemic, 31 (73.8 %) showed low eGFR, which is an indication that their anemia may be due to renal causes. They subsequently presented with normochromic normocytic anemia. The remaining 11 (26.2 %) had higher eGFRs and possibly normal renal function; they presented with both hypochromic microcytic (8; 19.1 %) and normochromic macrocytic (3; 7.1 %) anemia. These were suspected to be due to iron and B12/folate deficiency respectively. Among the controls, nine (18 %) were found to be anemic and here the majority (7; 14 %) had high eGFRs and presumably normal functioning kidneys; they presented with hypochromic microcytic (5; 10 %) and normochromic macrocytic (2; 4 %) anemia. The remaining two (4 %) had low eGFRs and were deemed to have renal insufficiency-related anemia.\nA previous study reported a 15.3 % incidence of anemia in participants with diabetes without renal insufficiency [38]. The study added that patients who have poorly controlled diabetes were at greater risk of anemia than those with controlled diabetes. Another study reported that 7.2 % of diabetics with normal renal function had anemia [39]. Again, other studies have reported that 20 % [8] and 19.6 % [39] of participants with diabetes with renal insufficiency had anemia.\nAnemia is a key indicator of chronic kidney disease (CKD) but occurs earlier in the course of diabetic kidney disease and may be more severe than previously realized [40, 41]. In patients with diabetes, anemia may be the result of diminished EPO production by the failing kidney. It has been suggested in other studies that this may be due to a reduction in the number of specific EPO-synthesizing interstitial cells and disruption of the interstitial anatomy or vascular architecture [42, 43]. A role has also been suggested for autonomic dysfunction through a relative or absolute imbalance in sympathetic/parasympathetic tone based on the hypothesis that EPO production may be modulated, in part, by the autonomic nervous system [44, 45]. Most patients with diabetes are rarely tested for anemia and are unaware of the link between anemia and kidney disease. A pan-European study was therefore undertaken by Stevens et al. (2003) to investigate the level of awareness and understanding of anemia among patients with diabetes [46]. They concluded that anemia has a significant impact on the quality of life of patients with diabetes and although patients are aware of anemia, their awareness of being tested for anemia is low [46].\nThe estimated prevalence of anemia in people with diabetes depends on essentially arbitrary criteria used to define the presence or absence of anemia. Nonetheless, studies in patients with renal impairment suggest that deleterious effects begin with Hb <11 g/dl, meaning that 7 % of patients with diabetes may benefit from intervention according to current guidelines [47]. Using this definition, nearly one in four patients with diabetes (23 %) may have anemia warranting evaluation. Although other smaller studies have suggested that the prevalence of anemia is increased in diabetes, their surveys have generally selected patients with overt nephropathy [48]. In contrast, the Predialysis Survey on Anemia Management (PRESAM) failed to show a difference between patients with and without diabetes [49].\nAgain a study by Thomas et al. (2003) demonstrated that anemia is an early and common complication of diabetes and patients at greatest risk of anemia can be readily identified [50]. In the study, 60 % of patients with anemia warranting investigation had eGFR <60 ml/minute−1/1.73 m2 and nearly half (46 %) of the patients with macroalbuminuria had anemia [51, 52]. As the risk of anemia is strongly associated with eGFR in the study by Thomas et al., it seems likely that supplementation with EPO could correct anemia, particularly in the patients with anemia and adequate iron stores [50]. However, potential benefits need to be balanced against the risks of adverse arterial effects and the complications of EPO use, including hypertension and pure red cell aplasia.\nThe high incidence of anemia observed in our study may be due to the relatively small number of study participants about half of whom presented with renal insufficiency (Table 5). Anemia due to renal insufficiency is primarily as a result of reduced secretion of EPO by the failing kidneys, and anemia subsequently occurs when creatinine clearance is less than 50 mL/minute. This is observed earlier in patients with diabetes with renal insufficiency or disease [10]. The high incidence of anemia may also be due to other risk factors related to DM. Several studies have reported factors that increase the risk of anemia, which include; damage to renal interstitium due to chronic hyperglycemia and consequent formation of advanced glycation end products by increased reactive oxygen species, and systemic inflammation as well as reduced androgen levels induced by diabetes [8, 10]. A limiting factor worthy of mention is our sample size; a larger sample would have increased the power of the study outcome. We also did not determine the HIV status of our study participants and cannot comment on the role of HIV on the prevalence of anemia in this particular study population, although infection with HIV has emerged as an additional risk factor for anemia [53].", "The findings of our study suggest that the high incidence of renal insufficiency observed in the participants with diabetes, among other factors, could have influenced the high incidence of anemic conditions seen. Anemia is therefore likely to occur in poorly controlled diabetes and in patients with diabetes with renal insufficiency. Including routine hematological (Hb) tests in the treatment of diabetes and considering factors such as glycemic control and renal sufficiency among others could help reduce anemia in diabetes and the possible complications that may come with it.", " Study design The study was a case–control study conducted between the months of March and August 2014.\nThe study was a case–control study conducted between the months of March and August 2014.\n Materials Some of the materials used included: ABX Micros 60 Haematology Analyzer, Starlyte V & Human Reader chemistry analyzers, 5 ml K2EDTA test tubes, plain test tubes, fluoride tubes, syringes, needles, absolute methanol, and cotton wool.\nSome of the materials used included: ABX Micros 60 Haematology Analyzer, Starlyte V & Human Reader chemistry analyzers, 5 ml K2EDTA test tubes, plain test tubes, fluoride tubes, syringes, needles, absolute methanol, and cotton wool.\n Ethical consideration Ethical clearance for this research in accordance with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards was sought from the Ethics and Protocol Review Committee of the School of Biomedical and Allied Health Sciences, University of Ghana, Legon (ED ID NO:SAHS-ET./10359975/2013-2014). All the participants gave their informed consent before their samples were collected.\nEthical clearance for this research in accordance with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards was sought from the Ethics and Protocol Review Committee of the School of Biomedical and Allied Health Sciences, University of Ghana, Legon (ED ID NO:SAHS-ET./10359975/2013-2014). All the participants gave their informed consent before their samples were collected.\n Specimen collection and processing From each participant, 6 ml of an overnight fasting venous blood was collected as follows: 2 ml into an ethylenediaminetetraacetate (EDTA) tube for hematological profile, 2 ml into a plain tube for renal function tests (RFTs), and 2 ml into a fluoride tube for FBG and HbA1c analysis.\nFrom each participant, 6 ml of an overnight fasting venous blood was collected as follows: 2 ml into an ethylenediaminetetraacetate (EDTA) tube for hematological profile, 2 ml into a plain tube for renal function tests (RFTs), and 2 ml into a fluoride tube for FBG and HbA1c analysis.\n Full blood count test Full blood count comprising red cell count, Hb, white cell count and differentials, platelets as well as Hb indices were determined from the whole blood in the EDTA test tubes using ABX Micros 60 Haematology Analyzer (Horiba-ABX, Montpellier, France). Ferritin and TIBC were also done.\nFull blood count comprising red cell count, Hb, white cell count and differentials, platelets as well as Hb indices were determined from the whole blood in the EDTA test tubes using ABX Micros 60 Haematology Analyzer (Horiba-ABX, Montpellier, France). Ferritin and TIBC were also done.\n Renal function test This was determined using two chemistry analyzers (Starlyte V, USA for the electrolyte measurements; Human Reader, Germany for urea and creatinine measurements). Blood urea nitrogen, EPO, electrolytes, creatinine, and eGFR were done for each participant to assess their renal function.\nThis was determined using two chemistry analyzers (Starlyte V, USA for the electrolyte measurements; Human Reader, Germany for urea and creatinine measurements). Blood urea nitrogen, EPO, electrolytes, creatinine, and eGFR were done for each participant to assess their renal function.\n FBG estimation Glucose is oxidized in the presence of glucose oxidase to form glucuronic acid and hydrogen peroxide. Hydrogen peroxide in the presence of peroxidase reacts with 4-aminophenazone and phenol to produce a colored quinone imine complex which is measured against a reagent blank at an absorbance of 550 nm.\nThe FBG for each participant was estimated from the fluoride tube.\nGlucose is oxidized in the presence of glucose oxidase to form glucuronic acid and hydrogen peroxide. Hydrogen peroxide in the presence of peroxidase reacts with 4-aminophenazone and phenol to produce a colored quinone imine complex which is measured against a reagent blank at an absorbance of 550 nm.\nThe FBG for each participant was estimated from the fluoride tube.\n Statistical analysis The data obtained were cleaned and entered into Statistical Package for Social Scientists (SPSS) version 20.0. Descriptive statistics such as frequencies and percentages were used to summarize categorical variables such as gender. Continuous variables such as Hb concentration, ferritin concentration, and TIBC were summarized using mean and standard deviation. An independent t-test was used to determine mean differences between means of categorical variables with two categories while an ANOVA was used for those with three categories. A p value of 0.05 was interpreted as significant.\nThe data obtained were cleaned and entered into Statistical Package for Social Scientists (SPSS) version 20.0. Descriptive statistics such as frequencies and percentages were used to summarize categorical variables such as gender. Continuous variables such as Hb concentration, ferritin concentration, and TIBC were summarized using mean and standard deviation. An independent t-test was used to determine mean differences between means of categorical variables with two categories while an ANOVA was used for those with three categories. A p value of 0.05 was interpreted as significant.", "The study was a case–control study conducted between the months of March and August 2014.", "Some of the materials used included: ABX Micros 60 Haematology Analyzer, Starlyte V & Human Reader chemistry analyzers, 5 ml K2EDTA test tubes, plain test tubes, fluoride tubes, syringes, needles, absolute methanol, and cotton wool.", "Ethical clearance for this research in accordance with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards was sought from the Ethics and Protocol Review Committee of the School of Biomedical and Allied Health Sciences, University of Ghana, Legon (ED ID NO:SAHS-ET./10359975/2013-2014). All the participants gave their informed consent before their samples were collected.", "From each participant, 6 ml of an overnight fasting venous blood was collected as follows: 2 ml into an ethylenediaminetetraacetate (EDTA) tube for hematological profile, 2 ml into a plain tube for renal function tests (RFTs), and 2 ml into a fluoride tube for FBG and HbA1c analysis.", "Full blood count comprising red cell count, Hb, white cell count and differentials, platelets as well as Hb indices were determined from the whole blood in the EDTA test tubes using ABX Micros 60 Haematology Analyzer (Horiba-ABX, Montpellier, France). Ferritin and TIBC were also done.", "This was determined using two chemistry analyzers (Starlyte V, USA for the electrolyte measurements; Human Reader, Germany for urea and creatinine measurements). Blood urea nitrogen, EPO, electrolytes, creatinine, and eGFR were done for each participant to assess their renal function.", "Glucose is oxidized in the presence of glucose oxidase to form glucuronic acid and hydrogen peroxide. Hydrogen peroxide in the presence of peroxidase reacts with 4-aminophenazone and phenol to produce a colored quinone imine complex which is measured against a reagent blank at an absorbance of 550 nm.\nThe FBG for each participant was estimated from the fluoride tube.", "The data obtained were cleaned and entered into Statistical Package for Social Scientists (SPSS) version 20.0. Descriptive statistics such as frequencies and percentages were used to summarize categorical variables such as gender. Continuous variables such as Hb concentration, ferritin concentration, and TIBC were summarized using mean and standard deviation. An independent t-test was used to determine mean differences between means of categorical variables with two categories while an ANOVA was used for those with three categories. A p value of 0.05 was interpreted as significant." ]
[ "introduction", "results", null, "discussion", "conclusion", "materials|methods", null, null, null, null, null, null, null, null ]
[ "Hemoglobin concentration", "Anemia", "Renal insufficiency", "Diabetes" ]
Background: Deficiency in the oxygen-carrying capacity of blood due to a diminished erythrocyte mass or reduction in the hemoglobin (Hb) concentration of the blood may indicate anemia [1]. This leads to the blood not being able to meet the body’s physiological needs. It is caused by either an excessive destruction or diminished production of red blood cells [2]. Anemia is associated with increased perinatal mortality, child morbidity and mortality, impaired mental development, immune incompetence, increased susceptibility to lead poisoning, and decreased performance at work [3]. Anemia has a high prevalence and is considered a public health problem affecting developing and developed countries. It occurs at all stages of life, especially in pregnant women and children [4]. Globally, 1.62 billion people are anemic, corresponding to 24.8 % of the global population. The highest prevalence of 47.4 % is in preschool-age children while the lowest prevalence of 12.7 % is in men [5]. Data from World Health Organization (WHO) regional estimates, which were generated for preschool-age children, pregnant women, and non-pregnant women, indicated that the highest proportion of people affected are in Africa (47.5 to 67.6 %), while the greatest number affected are in Southeast Asia where 315 million individuals in the three population groups are affected [5]. In Ghana, anemia was ranked as the fourth leading reason for hospital admissions and the second factor contributing to death after a review of the disease profile and pathology reports of selected hospitals [4]. Diabetes mellitus (DM) is a non-infectious disease that also has a high prevalence worldwide [6]. It is a carbohydrate metabolism disorder which results in hyperglycemia due to either absolute insulin deficiency or reduced tissue response to insulin or both [6]. Diabetes, especially when poorly controlled, leads to complications such as nephropathy, retinopathy, and neuropathy as well as several disordered metabolic processes including oxidative stress which causes oxidative damage to tissues and cells [7]. Anemia is one of the commonest blood disorders seen in patients with diabetes [8]. Many research studies have reported that anemia mostly occurs in patients with diabetes who also have renal insufficiency [9]. A few other studies have also reported an incidence of anemia in diabetics prior to evidence of renal impairment [10]. Anemia occurs earlier and at a greater degree in patients presenting with diabetic nephropathy than those presenting with other causes of renal failure [10]. Developing countries including Ghana carry the most significant proportion of the reported cases of anemia whose etiology is often multifactorial. The main causes of anemia may include: dietary iron deficiency; infectious diseases such as malaria, hookworm, and schistosomiasis; micronutrient deficiencies including folate, vitamin B12 and vitamin A; or inherited conditions that affect red blood cells such as thalassemia and sickle cell disease [11]. Again, people with chronic illnesses such as kidney problems, cancer, diabetes, and related conditions are at a higher risk for developing anemia. However, the most significant contributor to the onset of anemia is iron deficiency which has often been used as synonymous to anemia, and the prevalence of anemia used as a proxy for it [12]. Of the cases of anemia, 50 % are therefore attributable to iron deficiency [13], but this proportion could vary among population groups in different areas according to local conditions. Low dietary intake of iron, poor absorption of iron from diets high in phytate or phenolic compounds, and period of life when iron requirements are especially high (that is, growth and pregnancy) are the main risk factors of iron deficiency anemia [12]. Blood loss resulting from menstruation and parasitic infestation such as hookworm, Ascaris, and schistosomiasis also contribute to the lowering of Hb concentration resulting in anemia. Malaria, cancer, tuberculosis, and HIV can also contribute to the burden of anemia. An increase in the risk of anemia could also result from deficiencies in copper and riboflavin. The impact of hemoglobinopathies on anemia prevalence also needs to be considered within some populations [12]. The different causes of anemia may work in concert, so in a single individual, various nutrient deficiencies, chronic illnesses and different infestations may all play a role [14]. It therefore remains important to establish in various populations the role that different causative factors play in the overall alarming prevalence of anemia [15]. Vitamin B12 deficiency and folic acid deficiency lead to megaloblastic anemia that results from inhibition of DNA synthesis during red blood cell production [16]. The mechanism of this phenomenon is loss of B12-dependent folate recycling, followed by folate-deficiency loss of nucleic acid synthesis, leading to defects in DNA synthesis. Vitamin B12 deficiency alone in the presence of sufficient folate will not cause the syndrome. Megaloblastic anemia that is not due to hypovitaminosis may be caused by antimetabolites that poison DNA production directly, such as some chemotherapeutic or antimicrobial agents (azathioprine or trimethoprim) [17]. The pathological state of megaloblastosis is characterized by many large immature and dysfunctional red blood cells (megaloblasts) in the bone marrow and by hypersegmented neutrophils [18]. Anemia is also the most frequent hematological manifestation in patients with malignant diseases [19]. It may be the first diagnostic clue to an underlying malignant disease and may contribute to the patient’s symptoms from the disease as well as affect treatment decisions. It is known that tumor-associated cytokine production is a major factor in the anemia of malignancy. In fact, numerous in vitro studies have illustrated the central role of tumor necrosis factor-alpha (TNF-α) in the pathogenesis of anemia [20]. Other cytokines, such as interleukin-6 (IL-6), IL-1 and interferon-γ, have also been shown to inhibit erythroid precursors in vitro, albeit to a lesser extent [21]. The duration and severity of anemia seems to be related to the type of cancer, extent of disease, and myelosuppressive potency of chemotherapy [22]. The most common form of anemia seen in patients with cancer or hematological malignancies results from the underproduction of red cells: a hypoproliferative anemia characterized by a low reticulocyte production index and the absence of marrow erythroid hyperplasia despite significant persistent anemia. Again, one of the hallmarks of malignancy-associated anemia is the reduction in endogenous erythropoietin (EPO) levels with respect to the degree of anemia [23]. Malignancy can affect bone marrow as well (bone marrow fibrosis) and this can also result in anemia [24]. Bone marrow has a rich blood supply and is therefore a common site for a metastasis to develop [24]. Cancers of the breast, prostate, and lung are the commonest type to do this although almost all cancers have this capability. Once in the marrow the cancer cells can multiply easily and the tumor deposit enlarges, occupying more and more of the marrow space, so reducing the amount of blood-producing marrow and the subsequent anemia [25]. There are some tumors that arise from the bone marrow tissue itself, such as some types of leukemia and multiple myeloma. As these are more directly involved with the bone marrow’s function they are more commonly associated with anemia. A normocytic normochromic anemia is also common in patients with a variety of inflammatory disorders and there are many contributing factors [26]. In inflammation, from whatever cause, IL-6 induces the liver to produce hepcidin. Hepcidin decreases iron absorption from the bowel and blocks iron utilization in the bone marrow. Iron may be abundant in the bone marrow, but is not absorbed and is not in the circulation, and so is not available for erythropoiesis. Again, some chemotherapeutic agents induce anemia by impairing hematopoiesis [27]. In addition, nephrotoxic effects of particular cytotoxic agents, such as platinum salts, can also lead to the persistence of anemia through reduced EPO production by the kidney [28]. The myelosuppressive effect of cytotoxic agents might accumulate over the course of chemotherapy. This results in a steady increase in the incidence of anemia with every new cycle of chemotherapy. Furthermore, many diseases, conditions, and factors can cause our body to destroy its red blood cells leading to hemolytic anemia [29]. These causes can be inherited or acquired but sometimes the cause is not known. Hemolytic anemia can lead to many health problems, such as fatigue, pain, arrhythmias, and heart failure [30]. There are many types of hemolytic anemias and treatment and outlook depend on what type and how severe it is. The condition can develop suddenly or slowly and symptoms can range from mild to severe. Hemolytic anemia often can be successfully treated or controlled. Mild hemolytic anemia may need no treatment whereas severe hemolytic anemia will require prompt and proper treatment, or it may be fatal. Inherited forms of hemolytic anemia are lifelong conditions that may require ongoing treatment but acquired forms may go away if the cause of the condition is found and corrected [31]. The following are some examples of diseases that lead to hemolytic anemia: sickle cell disease, thalassemias, hereditary spherocytosis, glucose-6-phosphate dehydrogenase (G6PD) deficiency, pyruvate kinase deficiency, acquired hemolytic anemias, immune hemolytic anemia, and mechanical hemolytic anemias [32–34]. Results from a study by Rossing et al. showed a significant association between a lower Hb concentration and a decline in glomerular filtration rate (GFR) [35]. Other recent studies have also identified anemia as a risk factor for the need for renal replacement therapy in diabetes [36]. Furthermore, anemia has a negative impact on the survival of patients with diabetes and is considered to be an important cardiovascular risk factor associated with diabetes and renal disease [35, 36]. There is therefore a need for more studies on the incidence and prevalence of anemia among patients with diabetes particularly those with renal malfunction. This study therefore aimed to determine the prevalence of anemia due to renal insufficiency among patients with type 2 diabetes and the outcome showed a high incidence of anemia among them. The findings suggest that anemia is likely to occur in patients with diabetes with renal insufficiency, particularly when it is poorly controlled. It is therefore believed that presentation of the outcome will help increase the level of awareness and understanding of anemia among patients with diabetes, which will eventually lead to the development of interventions to optimize treatment outcomes in them. Results: Participants’ demographics The study included 100 participants, consisting of 50 participants with diabetes (15 males/35 females) and 50 participants without diabetes (14 males/36 females) who consented to participate in the study. Mean ages recorded for cases and controls were 55.62±10.37 years and 44.11±15.30 years respectively (Table 1). The medical records of the participants were examined and they were taken through a physical examination for signs and symptoms of anemia. However, none of them showed any signs of anemia, possibly due to the fact that there may be no symptoms in some people who have anemia. Other diseases such as cancer and myelodysplasia as well as other causes of anemia as discussed in the introduction were ruled out among the study group.Table 1Summary of demographic characteristics of participants with diabetes (cases) and controlsParametersCasesControls n 5050Male/female15/3514/36Age (years)55.62±10.3744.11±15.30 Summary of demographic characteristics of participants with diabetes (cases) and controls Table 2 shows the hematological parameters of the blood samples we analyzed that were obtained from the study participants. Hb concentration was observed to be significantly decreased in the cases as compared to the controls. Ferritin and total iron-binding capacity (TIBC) levels were found to be normal in most of the cases and lower in the control participants who were found to be anemic. The mean cell volumes (MCVs) were higher in the cases than the controls.Table 2Hematological parameters in participants with diabetes (cases) and controlsParametersCasesControls p valueHbMale (13.5–17.5 g/dL)11.16±1.8314.25±1.780.000*Female (12.0–16.0 g/dL)10.41±1.4912.53±1.140.000*FerritinMale (20–200 μg/L)83.66±1.1991.96±1.150.000*Female (20–120 μg/L)50.40±1.1055.40±1.290.000*MCV (80–95 fL)86.19±1.0984.02±1.110.000*TIBC (255–450 μg/dl)315.30±2.68360.10±2.840.001* Hb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant) Hematological parameters in participants with diabetes (cases) and controls Hb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant) Table 3 shows the biochemical parameters of the blood samples we analyzed that were obtained from the study participants. A significant increase in fasting blood glucose (FBG) concentration was observed in the cases compared to controls (p=0.000). Significant increases in urea, sodium (Na), potassium (K), and calcium (Ca) concentrations were also observed in the cases as compared to controls. Creatinine concentrations were almost similar in both cases and controls although they were on the high side. EPO and estimated glomerular filtration rate (eGFR) levels were lower in cases than in controls. Glycated Hb (HbA1c) levels were also found to be higher in cases (particularly those with anemia) than in controls.Table 3Biochemical parameters in participants with diabetes (cases) and controlsParametersCasesControls p valueFBG (3.8–6.1 mmol/L)7.99±1.304.66±0.540.000*Erythropoietin (4.1–19.5 mIU/mL)6.35±1.2812.82±1.990.000*eGFRFemale (80–110 ml/minute/1.73 m2)85.41±1.4987.53±1.140.000*Male (90–120 ml/minute/1.73 m2)90.16±1.8394.25±1.780.000*Urea (7–18 mg/dL)5.19±1.993.56±2.110.000*Na (135–145 mmol/L)140.90±6.98135.51±6.840.000*K (3.5–5.0 mmol/L)4.86±0.534.40±0.580.000*Cl (95–105 mmol/L)105.30±3.95103.40±3.650.000*Ca (2.1–2.8 mmol/L)1.47±0.311.28±0.260.001*Creatinine (0.6–1.5 mg/dL)2.35±1.742.37±1.350.945HbA1c (4–7 %, 7–8 %, ≥8.5 %)7.80±1.044.61±1.940.001* Ca calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant) Biochemical parameters in participants with diabetes (cases) and controls Ca calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant) From Table 4, it was seen that participants with diabetes had a high incidence of anemia in both males and females (86.7 % and 82.9 % respectively) and 19.4 % of the females in the control group were also anemic. Anemia was defined by an Hb <13.0 g/dL in men and Hb <12.0 g/dL in women [20]. Three types of anemia were seen morphologically and by the MCVs obtained: hypochromic microcytic (MCV <80 fL), normochromic normocytic (MCV 80–95 fL), and normochromic macrocytic (MCV>95 fL).Table 4Incidence of anemia in participants with diabetes (cases) and controls according to genderCasesAnemic (%)Non-anemic (%)Male13 (86.7)2 (13.3)Female29 (82.9)6 (17.1)ControlsMale1 (7.1)13 (92.9)Female7 (19.4)29 (80.6) Incidence of anemia in participants with diabetes (cases) and controls according to gender Renal insufficiency was determined by serum creatinine level >1.5 mg/dL and eGFR <60 ml/minute/1.73 m2. A high incidence of renal insufficiency (54.0 %) was observed in the participants with diabetes compared to controls (Table 5). Out of the 42 (84 %) cases who were anemic, 31 (73.8 %) showed low eGFR, which is an indication of renal insufficiency, with the remaining 11 (26.2 %) having higher eGFR and therefore normal renal function. Among the controls, 9 (18 %) were found to be anemic and 7 (14 %) had high eGFR while the remaining 2 (4 %) had low eGFRs.Table 5Incidence of renal insufficiency in participants with diabetes and controlsPresent (%)Absent (%)Participants with diabetes27 (54.0)23 (46.0)Mean3.43±1.731.07±0.28Controls13 (26.0)37 (74.0)Mean3.13±1.150.99±0.23 Incidence of renal insufficiency in participants with diabetes and controls A positive correlation was seen between the degree of anemia and HbA1c in patients with diabetes, supporting the hypothesis that there is a higher incidence of anemia among poorly controlled diabetics. Also a negative correlation was observed between Hb and hyperglycemia (FBG) in the diabetic population according to gender (Fig. 1). However, only the female population’s correlation was significant (Table 6).Fig. 1Correlation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobinTable 6Correlation between hemoglobin and hyperglycemiaPearson’s correlations R p valueHb and HG (female)–0.465*0.005*Hb and HG (male)–0.3820.159 Hb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed) Correlation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobin Correlation between hemoglobin and hyperglycemia Hb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed) The study included 100 participants, consisting of 50 participants with diabetes (15 males/35 females) and 50 participants without diabetes (14 males/36 females) who consented to participate in the study. Mean ages recorded for cases and controls were 55.62±10.37 years and 44.11±15.30 years respectively (Table 1). The medical records of the participants were examined and they were taken through a physical examination for signs and symptoms of anemia. However, none of them showed any signs of anemia, possibly due to the fact that there may be no symptoms in some people who have anemia. Other diseases such as cancer and myelodysplasia as well as other causes of anemia as discussed in the introduction were ruled out among the study group.Table 1Summary of demographic characteristics of participants with diabetes (cases) and controlsParametersCasesControls n 5050Male/female15/3514/36Age (years)55.62±10.3744.11±15.30 Summary of demographic characteristics of participants with diabetes (cases) and controls Table 2 shows the hematological parameters of the blood samples we analyzed that were obtained from the study participants. Hb concentration was observed to be significantly decreased in the cases as compared to the controls. Ferritin and total iron-binding capacity (TIBC) levels were found to be normal in most of the cases and lower in the control participants who were found to be anemic. The mean cell volumes (MCVs) were higher in the cases than the controls.Table 2Hematological parameters in participants with diabetes (cases) and controlsParametersCasesControls p valueHbMale (13.5–17.5 g/dL)11.16±1.8314.25±1.780.000*Female (12.0–16.0 g/dL)10.41±1.4912.53±1.140.000*FerritinMale (20–200 μg/L)83.66±1.1991.96±1.150.000*Female (20–120 μg/L)50.40±1.1055.40±1.290.000*MCV (80–95 fL)86.19±1.0984.02±1.110.000*TIBC (255–450 μg/dl)315.30±2.68360.10±2.840.001* Hb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant) Hematological parameters in participants with diabetes (cases) and controls Hb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant) Table 3 shows the biochemical parameters of the blood samples we analyzed that were obtained from the study participants. A significant increase in fasting blood glucose (FBG) concentration was observed in the cases compared to controls (p=0.000). Significant increases in urea, sodium (Na), potassium (K), and calcium (Ca) concentrations were also observed in the cases as compared to controls. Creatinine concentrations were almost similar in both cases and controls although they were on the high side. EPO and estimated glomerular filtration rate (eGFR) levels were lower in cases than in controls. Glycated Hb (HbA1c) levels were also found to be higher in cases (particularly those with anemia) than in controls.Table 3Biochemical parameters in participants with diabetes (cases) and controlsParametersCasesControls p valueFBG (3.8–6.1 mmol/L)7.99±1.304.66±0.540.000*Erythropoietin (4.1–19.5 mIU/mL)6.35±1.2812.82±1.990.000*eGFRFemale (80–110 ml/minute/1.73 m2)85.41±1.4987.53±1.140.000*Male (90–120 ml/minute/1.73 m2)90.16±1.8394.25±1.780.000*Urea (7–18 mg/dL)5.19±1.993.56±2.110.000*Na (135–145 mmol/L)140.90±6.98135.51±6.840.000*K (3.5–5.0 mmol/L)4.86±0.534.40±0.580.000*Cl (95–105 mmol/L)105.30±3.95103.40±3.650.000*Ca (2.1–2.8 mmol/L)1.47±0.311.28±0.260.001*Creatinine (0.6–1.5 mg/dL)2.35±1.742.37±1.350.945HbA1c (4–7 %, 7–8 %, ≥8.5 %)7.80±1.044.61±1.940.001* Ca calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant) Biochemical parameters in participants with diabetes (cases) and controls Ca calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant) From Table 4, it was seen that participants with diabetes had a high incidence of anemia in both males and females (86.7 % and 82.9 % respectively) and 19.4 % of the females in the control group were also anemic. Anemia was defined by an Hb <13.0 g/dL in men and Hb <12.0 g/dL in women [20]. Three types of anemia were seen morphologically and by the MCVs obtained: hypochromic microcytic (MCV <80 fL), normochromic normocytic (MCV 80–95 fL), and normochromic macrocytic (MCV>95 fL).Table 4Incidence of anemia in participants with diabetes (cases) and controls according to genderCasesAnemic (%)Non-anemic (%)Male13 (86.7)2 (13.3)Female29 (82.9)6 (17.1)ControlsMale1 (7.1)13 (92.9)Female7 (19.4)29 (80.6) Incidence of anemia in participants with diabetes (cases) and controls according to gender Renal insufficiency was determined by serum creatinine level >1.5 mg/dL and eGFR <60 ml/minute/1.73 m2. A high incidence of renal insufficiency (54.0 %) was observed in the participants with diabetes compared to controls (Table 5). Out of the 42 (84 %) cases who were anemic, 31 (73.8 %) showed low eGFR, which is an indication of renal insufficiency, with the remaining 11 (26.2 %) having higher eGFR and therefore normal renal function. Among the controls, 9 (18 %) were found to be anemic and 7 (14 %) had high eGFR while the remaining 2 (4 %) had low eGFRs.Table 5Incidence of renal insufficiency in participants with diabetes and controlsPresent (%)Absent (%)Participants with diabetes27 (54.0)23 (46.0)Mean3.43±1.731.07±0.28Controls13 (26.0)37 (74.0)Mean3.13±1.150.99±0.23 Incidence of renal insufficiency in participants with diabetes and controls A positive correlation was seen between the degree of anemia and HbA1c in patients with diabetes, supporting the hypothesis that there is a higher incidence of anemia among poorly controlled diabetics. Also a negative correlation was observed between Hb and hyperglycemia (FBG) in the diabetic population according to gender (Fig. 1). However, only the female population’s correlation was significant (Table 6).Fig. 1Correlation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobinTable 6Correlation between hemoglobin and hyperglycemiaPearson’s correlations R p valueHb and HG (female)–0.465*0.005*Hb and HG (male)–0.3820.159 Hb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed) Correlation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobin Correlation between hemoglobin and hyperglycemia Hb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed) Participants’ demographics: The study included 100 participants, consisting of 50 participants with diabetes (15 males/35 females) and 50 participants without diabetes (14 males/36 females) who consented to participate in the study. Mean ages recorded for cases and controls were 55.62±10.37 years and 44.11±15.30 years respectively (Table 1). The medical records of the participants were examined and they were taken through a physical examination for signs and symptoms of anemia. However, none of them showed any signs of anemia, possibly due to the fact that there may be no symptoms in some people who have anemia. Other diseases such as cancer and myelodysplasia as well as other causes of anemia as discussed in the introduction were ruled out among the study group.Table 1Summary of demographic characteristics of participants with diabetes (cases) and controlsParametersCasesControls n 5050Male/female15/3514/36Age (years)55.62±10.3744.11±15.30 Summary of demographic characteristics of participants with diabetes (cases) and controls Table 2 shows the hematological parameters of the blood samples we analyzed that were obtained from the study participants. Hb concentration was observed to be significantly decreased in the cases as compared to the controls. Ferritin and total iron-binding capacity (TIBC) levels were found to be normal in most of the cases and lower in the control participants who were found to be anemic. The mean cell volumes (MCVs) were higher in the cases than the controls.Table 2Hematological parameters in participants with diabetes (cases) and controlsParametersCasesControls p valueHbMale (13.5–17.5 g/dL)11.16±1.8314.25±1.780.000*Female (12.0–16.0 g/dL)10.41±1.4912.53±1.140.000*FerritinMale (20–200 μg/L)83.66±1.1991.96±1.150.000*Female (20–120 μg/L)50.40±1.1055.40±1.290.000*MCV (80–95 fL)86.19±1.0984.02±1.110.000*TIBC (255–450 μg/dl)315.30±2.68360.10±2.840.001* Hb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant) Hematological parameters in participants with diabetes (cases) and controls Hb hemoglobin, MCV mean cell volume, TIBC total iron-binding capacity (*p value <0.05 was considered significant) Table 3 shows the biochemical parameters of the blood samples we analyzed that were obtained from the study participants. A significant increase in fasting blood glucose (FBG) concentration was observed in the cases compared to controls (p=0.000). Significant increases in urea, sodium (Na), potassium (K), and calcium (Ca) concentrations were also observed in the cases as compared to controls. Creatinine concentrations were almost similar in both cases and controls although they were on the high side. EPO and estimated glomerular filtration rate (eGFR) levels were lower in cases than in controls. Glycated Hb (HbA1c) levels were also found to be higher in cases (particularly those with anemia) than in controls.Table 3Biochemical parameters in participants with diabetes (cases) and controlsParametersCasesControls p valueFBG (3.8–6.1 mmol/L)7.99±1.304.66±0.540.000*Erythropoietin (4.1–19.5 mIU/mL)6.35±1.2812.82±1.990.000*eGFRFemale (80–110 ml/minute/1.73 m2)85.41±1.4987.53±1.140.000*Male (90–120 ml/minute/1.73 m2)90.16±1.8394.25±1.780.000*Urea (7–18 mg/dL)5.19±1.993.56±2.110.000*Na (135–145 mmol/L)140.90±6.98135.51±6.840.000*K (3.5–5.0 mmol/L)4.86±0.534.40±0.580.000*Cl (95–105 mmol/L)105.30±3.95103.40±3.650.000*Ca (2.1–2.8 mmol/L)1.47±0.311.28±0.260.001*Creatinine (0.6–1.5 mg/dL)2.35±1.742.37±1.350.945HbA1c (4–7 %, 7–8 %, ≥8.5 %)7.80±1.044.61±1.940.001* Ca calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant) Biochemical parameters in participants with diabetes (cases) and controls Ca calcium, Cl chloride, eGFR estimated glomerular filtration rate, FBG fasting blood glucose, HbA1C glycated hemoglobin, K potassium, Na sodium (*p value <0.05 was considered significant) From Table 4, it was seen that participants with diabetes had a high incidence of anemia in both males and females (86.7 % and 82.9 % respectively) and 19.4 % of the females in the control group were also anemic. Anemia was defined by an Hb <13.0 g/dL in men and Hb <12.0 g/dL in women [20]. Three types of anemia were seen morphologically and by the MCVs obtained: hypochromic microcytic (MCV <80 fL), normochromic normocytic (MCV 80–95 fL), and normochromic macrocytic (MCV>95 fL).Table 4Incidence of anemia in participants with diabetes (cases) and controls according to genderCasesAnemic (%)Non-anemic (%)Male13 (86.7)2 (13.3)Female29 (82.9)6 (17.1)ControlsMale1 (7.1)13 (92.9)Female7 (19.4)29 (80.6) Incidence of anemia in participants with diabetes (cases) and controls according to gender Renal insufficiency was determined by serum creatinine level >1.5 mg/dL and eGFR <60 ml/minute/1.73 m2. A high incidence of renal insufficiency (54.0 %) was observed in the participants with diabetes compared to controls (Table 5). Out of the 42 (84 %) cases who were anemic, 31 (73.8 %) showed low eGFR, which is an indication of renal insufficiency, with the remaining 11 (26.2 %) having higher eGFR and therefore normal renal function. Among the controls, 9 (18 %) were found to be anemic and 7 (14 %) had high eGFR while the remaining 2 (4 %) had low eGFRs.Table 5Incidence of renal insufficiency in participants with diabetes and controlsPresent (%)Absent (%)Participants with diabetes27 (54.0)23 (46.0)Mean3.43±1.731.07±0.28Controls13 (26.0)37 (74.0)Mean3.13±1.150.99±0.23 Incidence of renal insufficiency in participants with diabetes and controls A positive correlation was seen between the degree of anemia and HbA1c in patients with diabetes, supporting the hypothesis that there is a higher incidence of anemia among poorly controlled diabetics. Also a negative correlation was observed between Hb and hyperglycemia (FBG) in the diabetic population according to gender (Fig. 1). However, only the female population’s correlation was significant (Table 6).Fig. 1Correlation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobinTable 6Correlation between hemoglobin and hyperglycemiaPearson’s correlations R p valueHb and HG (female)–0.465*0.005*Hb and HG (male)–0.3820.159 Hb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed) Correlation between hemoglobin concentration and fasting blood glucose. FBG fasting blood glucose, Hb hemoglobin Correlation between hemoglobin and hyperglycemia Hb hemoglobin, HG hyperglycemia, *correlation is significant at p value <0.05 (two-tailed) Discussion: Anemia is defined as a low level of Hb in the blood and evidenced by fewer numbers of functioning red blood cells. The WHO considers men with a Hb concentration <13.0 g/dL or packed cell volume (PCV) <39 % anemic and women with Hb <12.0 g/dL or PCV <36 % to be anemic [37]. Data from our study show a high incidence of anemia (86.7 % in males; 82.9 % in females) in participants with diabetes, predicting the necessity to assess patients with diabetes for anemia during diagnosis and management. HbA1c was found to be positively correlated whereas FBG was found to be negatively correlated with anemia in the participants with diabetes. This suggests that the incidence of anemia is likely to increase in poorly controlled diabetes, and therefore reducing blood glucose levels could help reduce the risk of anemia in diabetic populations. Out of the 42 (84 %) cases who were anemic, 31 (73.8 %) showed low eGFR, which is an indication that their anemia may be due to renal causes. They subsequently presented with normochromic normocytic anemia. The remaining 11 (26.2 %) had higher eGFRs and possibly normal renal function; they presented with both hypochromic microcytic (8; 19.1 %) and normochromic macrocytic (3; 7.1 %) anemia. These were suspected to be due to iron and B12/folate deficiency respectively. Among the controls, nine (18 %) were found to be anemic and here the majority (7; 14 %) had high eGFRs and presumably normal functioning kidneys; they presented with hypochromic microcytic (5; 10 %) and normochromic macrocytic (2; 4 %) anemia. The remaining two (4 %) had low eGFRs and were deemed to have renal insufficiency-related anemia. A previous study reported a 15.3 % incidence of anemia in participants with diabetes without renal insufficiency [38]. The study added that patients who have poorly controlled diabetes were at greater risk of anemia than those with controlled diabetes. Another study reported that 7.2 % of diabetics with normal renal function had anemia [39]. Again, other studies have reported that 20 % [8] and 19.6 % [39] of participants with diabetes with renal insufficiency had anemia. Anemia is a key indicator of chronic kidney disease (CKD) but occurs earlier in the course of diabetic kidney disease and may be more severe than previously realized [40, 41]. In patients with diabetes, anemia may be the result of diminished EPO production by the failing kidney. It has been suggested in other studies that this may be due to a reduction in the number of specific EPO-synthesizing interstitial cells and disruption of the interstitial anatomy or vascular architecture [42, 43]. A role has also been suggested for autonomic dysfunction through a relative or absolute imbalance in sympathetic/parasympathetic tone based on the hypothesis that EPO production may be modulated, in part, by the autonomic nervous system [44, 45]. Most patients with diabetes are rarely tested for anemia and are unaware of the link between anemia and kidney disease. A pan-European study was therefore undertaken by Stevens et al. (2003) to investigate the level of awareness and understanding of anemia among patients with diabetes [46]. They concluded that anemia has a significant impact on the quality of life of patients with diabetes and although patients are aware of anemia, their awareness of being tested for anemia is low [46]. The estimated prevalence of anemia in people with diabetes depends on essentially arbitrary criteria used to define the presence or absence of anemia. Nonetheless, studies in patients with renal impairment suggest that deleterious effects begin with Hb <11 g/dl, meaning that 7 % of patients with diabetes may benefit from intervention according to current guidelines [47]. Using this definition, nearly one in four patients with diabetes (23 %) may have anemia warranting evaluation. Although other smaller studies have suggested that the prevalence of anemia is increased in diabetes, their surveys have generally selected patients with overt nephropathy [48]. In contrast, the Predialysis Survey on Anemia Management (PRESAM) failed to show a difference between patients with and without diabetes [49]. Again a study by Thomas et al. (2003) demonstrated that anemia is an early and common complication of diabetes and patients at greatest risk of anemia can be readily identified [50]. In the study, 60 % of patients with anemia warranting investigation had eGFR <60 ml/minute−1/1.73 m2 and nearly half (46 %) of the patients with macroalbuminuria had anemia [51, 52]. As the risk of anemia is strongly associated with eGFR in the study by Thomas et al., it seems likely that supplementation with EPO could correct anemia, particularly in the patients with anemia and adequate iron stores [50]. However, potential benefits need to be balanced against the risks of adverse arterial effects and the complications of EPO use, including hypertension and pure red cell aplasia. The high incidence of anemia observed in our study may be due to the relatively small number of study participants about half of whom presented with renal insufficiency (Table 5). Anemia due to renal insufficiency is primarily as a result of reduced secretion of EPO by the failing kidneys, and anemia subsequently occurs when creatinine clearance is less than 50 mL/minute. This is observed earlier in patients with diabetes with renal insufficiency or disease [10]. The high incidence of anemia may also be due to other risk factors related to DM. Several studies have reported factors that increase the risk of anemia, which include; damage to renal interstitium due to chronic hyperglycemia and consequent formation of advanced glycation end products by increased reactive oxygen species, and systemic inflammation as well as reduced androgen levels induced by diabetes [8, 10]. A limiting factor worthy of mention is our sample size; a larger sample would have increased the power of the study outcome. We also did not determine the HIV status of our study participants and cannot comment on the role of HIV on the prevalence of anemia in this particular study population, although infection with HIV has emerged as an additional risk factor for anemia [53]. Conclusions: The findings of our study suggest that the high incidence of renal insufficiency observed in the participants with diabetes, among other factors, could have influenced the high incidence of anemic conditions seen. Anemia is therefore likely to occur in poorly controlled diabetes and in patients with diabetes with renal insufficiency. Including routine hematological (Hb) tests in the treatment of diabetes and considering factors such as glycemic control and renal sufficiency among others could help reduce anemia in diabetes and the possible complications that may come with it. Methods: Study design The study was a case–control study conducted between the months of March and August 2014. The study was a case–control study conducted between the months of March and August 2014. Materials Some of the materials used included: ABX Micros 60 Haematology Analyzer, Starlyte V & Human Reader chemistry analyzers, 5 ml K2EDTA test tubes, plain test tubes, fluoride tubes, syringes, needles, absolute methanol, and cotton wool. Some of the materials used included: ABX Micros 60 Haematology Analyzer, Starlyte V & Human Reader chemistry analyzers, 5 ml K2EDTA test tubes, plain test tubes, fluoride tubes, syringes, needles, absolute methanol, and cotton wool. Ethical consideration Ethical clearance for this research in accordance with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards was sought from the Ethics and Protocol Review Committee of the School of Biomedical and Allied Health Sciences, University of Ghana, Legon (ED ID NO:SAHS-ET./10359975/2013-2014). All the participants gave their informed consent before their samples were collected. Ethical clearance for this research in accordance with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards was sought from the Ethics and Protocol Review Committee of the School of Biomedical and Allied Health Sciences, University of Ghana, Legon (ED ID NO:SAHS-ET./10359975/2013-2014). All the participants gave their informed consent before their samples were collected. Specimen collection and processing From each participant, 6 ml of an overnight fasting venous blood was collected as follows: 2 ml into an ethylenediaminetetraacetate (EDTA) tube for hematological profile, 2 ml into a plain tube for renal function tests (RFTs), and 2 ml into a fluoride tube for FBG and HbA1c analysis. From each participant, 6 ml of an overnight fasting venous blood was collected as follows: 2 ml into an ethylenediaminetetraacetate (EDTA) tube for hematological profile, 2 ml into a plain tube for renal function tests (RFTs), and 2 ml into a fluoride tube for FBG and HbA1c analysis. Full blood count test Full blood count comprising red cell count, Hb, white cell count and differentials, platelets as well as Hb indices were determined from the whole blood in the EDTA test tubes using ABX Micros 60 Haematology Analyzer (Horiba-ABX, Montpellier, France). Ferritin and TIBC were also done. Full blood count comprising red cell count, Hb, white cell count and differentials, platelets as well as Hb indices were determined from the whole blood in the EDTA test tubes using ABX Micros 60 Haematology Analyzer (Horiba-ABX, Montpellier, France). Ferritin and TIBC were also done. Renal function test This was determined using two chemistry analyzers (Starlyte V, USA for the electrolyte measurements; Human Reader, Germany for urea and creatinine measurements). Blood urea nitrogen, EPO, electrolytes, creatinine, and eGFR were done for each participant to assess their renal function. This was determined using two chemistry analyzers (Starlyte V, USA for the electrolyte measurements; Human Reader, Germany for urea and creatinine measurements). Blood urea nitrogen, EPO, electrolytes, creatinine, and eGFR were done for each participant to assess their renal function. FBG estimation Glucose is oxidized in the presence of glucose oxidase to form glucuronic acid and hydrogen peroxide. Hydrogen peroxide in the presence of peroxidase reacts with 4-aminophenazone and phenol to produce a colored quinone imine complex which is measured against a reagent blank at an absorbance of 550 nm. The FBG for each participant was estimated from the fluoride tube. Glucose is oxidized in the presence of glucose oxidase to form glucuronic acid and hydrogen peroxide. Hydrogen peroxide in the presence of peroxidase reacts with 4-aminophenazone and phenol to produce a colored quinone imine complex which is measured against a reagent blank at an absorbance of 550 nm. The FBG for each participant was estimated from the fluoride tube. Statistical analysis The data obtained were cleaned and entered into Statistical Package for Social Scientists (SPSS) version 20.0. Descriptive statistics such as frequencies and percentages were used to summarize categorical variables such as gender. Continuous variables such as Hb concentration, ferritin concentration, and TIBC were summarized using mean and standard deviation. An independent t-test was used to determine mean differences between means of categorical variables with two categories while an ANOVA was used for those with three categories. A p value of 0.05 was interpreted as significant. The data obtained were cleaned and entered into Statistical Package for Social Scientists (SPSS) version 20.0. Descriptive statistics such as frequencies and percentages were used to summarize categorical variables such as gender. Continuous variables such as Hb concentration, ferritin concentration, and TIBC were summarized using mean and standard deviation. An independent t-test was used to determine mean differences between means of categorical variables with two categories while an ANOVA was used for those with three categories. A p value of 0.05 was interpreted as significant. Study design: The study was a case–control study conducted between the months of March and August 2014. Materials: Some of the materials used included: ABX Micros 60 Haematology Analyzer, Starlyte V & Human Reader chemistry analyzers, 5 ml K2EDTA test tubes, plain test tubes, fluoride tubes, syringes, needles, absolute methanol, and cotton wool. Ethical consideration: Ethical clearance for this research in accordance with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards was sought from the Ethics and Protocol Review Committee of the School of Biomedical and Allied Health Sciences, University of Ghana, Legon (ED ID NO:SAHS-ET./10359975/2013-2014). All the participants gave their informed consent before their samples were collected. Specimen collection and processing: From each participant, 6 ml of an overnight fasting venous blood was collected as follows: 2 ml into an ethylenediaminetetraacetate (EDTA) tube for hematological profile, 2 ml into a plain tube for renal function tests (RFTs), and 2 ml into a fluoride tube for FBG and HbA1c analysis. Full blood count test: Full blood count comprising red cell count, Hb, white cell count and differentials, platelets as well as Hb indices were determined from the whole blood in the EDTA test tubes using ABX Micros 60 Haematology Analyzer (Horiba-ABX, Montpellier, France). Ferritin and TIBC were also done. Renal function test: This was determined using two chemistry analyzers (Starlyte V, USA for the electrolyte measurements; Human Reader, Germany for urea and creatinine measurements). Blood urea nitrogen, EPO, electrolytes, creatinine, and eGFR were done for each participant to assess their renal function. FBG estimation: Glucose is oxidized in the presence of glucose oxidase to form glucuronic acid and hydrogen peroxide. Hydrogen peroxide in the presence of peroxidase reacts with 4-aminophenazone and phenol to produce a colored quinone imine complex which is measured against a reagent blank at an absorbance of 550 nm. The FBG for each participant was estimated from the fluoride tube. Statistical analysis: The data obtained were cleaned and entered into Statistical Package for Social Scientists (SPSS) version 20.0. Descriptive statistics such as frequencies and percentages were used to summarize categorical variables such as gender. Continuous variables such as Hb concentration, ferritin concentration, and TIBC were summarized using mean and standard deviation. An independent t-test was used to determine mean differences between means of categorical variables with two categories while an ANOVA was used for those with three categories. A p value of 0.05 was interpreted as significant.
Background: Anemia is defined as a reduction in the hemoglobin concentration of blood, which consequently reduces the oxygen-carrying capacity of red blood cells such that they are unable to meet the body's physiological needs. Several reports have indicated that anemia mostly occurs in patients with diabetes with renal insufficiency while limited studies have reported the incidence of anemia in people with diabetes prior to evidence of renal impairment. Other studies have also identified anemia as a risk factor for the need for renal replacement therapy in diabetes. Understanding the pathogenesis of anemia associated with diabetes may lead to the development of interventions to optimize outcomes in these patients. The aim of this study was therefore to determine the prevalence of anemia among patients with type 2 diabetes. Methods: A total of 100 (50 with type 2 diabetes and 50 controls) participants were recruited for our study. Participants' blood samples were analyzed for fasting blood glucose, full blood count and renal function tests among others. The prevalence of anemia was then determined statistically. Results: A high incidence of anemia was observed in the cases. Of the patients with diabetes, 84.8% had a hemoglobin concentration that was significantly less (males 11.16±1.83 and females 10.41±1.49) than the controls (males 14.25±1.78 and females 12.53±1.14). Renal insufficiency determined by serum creatinine level of >1.5 mg/dL, estimated glomerular filtration rate <60 ml/minute/1.73 m2, and erythropoietin levels was also observed to be high in the cases (54.0%; with mean creatinine concentration of 3.43±1.73 and erythropoietin 6.35±1.28 mIU/mL). A significantly increased fasting blood glucose, urea, sodium, potassium, and calcium ions were observed in the cases (7.99±1.30, 5.19±1.99, 140.90±6.98, 4.86±0.53 and 1.47±0.31 respectively) as compared to the controls (4.66±0.54, 3.56±2.11, 135.51±6.84, 4.40±0.58 and 1.28±0.26 respectively). Finally, a significant association between hemoglobin concentration and fasting blood glucose was also observed in the cases. Conclusions: The findings suggest that a high incidence of anemia is likely to occur in patients with poorly controlled diabetes and in patients with diabetes and renal insufficiency.
Background: Deficiency in the oxygen-carrying capacity of blood due to a diminished erythrocyte mass or reduction in the hemoglobin (Hb) concentration of the blood may indicate anemia [1]. This leads to the blood not being able to meet the body’s physiological needs. It is caused by either an excessive destruction or diminished production of red blood cells [2]. Anemia is associated with increased perinatal mortality, child morbidity and mortality, impaired mental development, immune incompetence, increased susceptibility to lead poisoning, and decreased performance at work [3]. Anemia has a high prevalence and is considered a public health problem affecting developing and developed countries. It occurs at all stages of life, especially in pregnant women and children [4]. Globally, 1.62 billion people are anemic, corresponding to 24.8 % of the global population. The highest prevalence of 47.4 % is in preschool-age children while the lowest prevalence of 12.7 % is in men [5]. Data from World Health Organization (WHO) regional estimates, which were generated for preschool-age children, pregnant women, and non-pregnant women, indicated that the highest proportion of people affected are in Africa (47.5 to 67.6 %), while the greatest number affected are in Southeast Asia where 315 million individuals in the three population groups are affected [5]. In Ghana, anemia was ranked as the fourth leading reason for hospital admissions and the second factor contributing to death after a review of the disease profile and pathology reports of selected hospitals [4]. Diabetes mellitus (DM) is a non-infectious disease that also has a high prevalence worldwide [6]. It is a carbohydrate metabolism disorder which results in hyperglycemia due to either absolute insulin deficiency or reduced tissue response to insulin or both [6]. Diabetes, especially when poorly controlled, leads to complications such as nephropathy, retinopathy, and neuropathy as well as several disordered metabolic processes including oxidative stress which causes oxidative damage to tissues and cells [7]. Anemia is one of the commonest blood disorders seen in patients with diabetes [8]. Many research studies have reported that anemia mostly occurs in patients with diabetes who also have renal insufficiency [9]. A few other studies have also reported an incidence of anemia in diabetics prior to evidence of renal impairment [10]. Anemia occurs earlier and at a greater degree in patients presenting with diabetic nephropathy than those presenting with other causes of renal failure [10]. Developing countries including Ghana carry the most significant proportion of the reported cases of anemia whose etiology is often multifactorial. The main causes of anemia may include: dietary iron deficiency; infectious diseases such as malaria, hookworm, and schistosomiasis; micronutrient deficiencies including folate, vitamin B12 and vitamin A; or inherited conditions that affect red blood cells such as thalassemia and sickle cell disease [11]. Again, people with chronic illnesses such as kidney problems, cancer, diabetes, and related conditions are at a higher risk for developing anemia. However, the most significant contributor to the onset of anemia is iron deficiency which has often been used as synonymous to anemia, and the prevalence of anemia used as a proxy for it [12]. Of the cases of anemia, 50 % are therefore attributable to iron deficiency [13], but this proportion could vary among population groups in different areas according to local conditions. Low dietary intake of iron, poor absorption of iron from diets high in phytate or phenolic compounds, and period of life when iron requirements are especially high (that is, growth and pregnancy) are the main risk factors of iron deficiency anemia [12]. Blood loss resulting from menstruation and parasitic infestation such as hookworm, Ascaris, and schistosomiasis also contribute to the lowering of Hb concentration resulting in anemia. Malaria, cancer, tuberculosis, and HIV can also contribute to the burden of anemia. An increase in the risk of anemia could also result from deficiencies in copper and riboflavin. The impact of hemoglobinopathies on anemia prevalence also needs to be considered within some populations [12]. The different causes of anemia may work in concert, so in a single individual, various nutrient deficiencies, chronic illnesses and different infestations may all play a role [14]. It therefore remains important to establish in various populations the role that different causative factors play in the overall alarming prevalence of anemia [15]. Vitamin B12 deficiency and folic acid deficiency lead to megaloblastic anemia that results from inhibition of DNA synthesis during red blood cell production [16]. The mechanism of this phenomenon is loss of B12-dependent folate recycling, followed by folate-deficiency loss of nucleic acid synthesis, leading to defects in DNA synthesis. Vitamin B12 deficiency alone in the presence of sufficient folate will not cause the syndrome. Megaloblastic anemia that is not due to hypovitaminosis may be caused by antimetabolites that poison DNA production directly, such as some chemotherapeutic or antimicrobial agents (azathioprine or trimethoprim) [17]. The pathological state of megaloblastosis is characterized by many large immature and dysfunctional red blood cells (megaloblasts) in the bone marrow and by hypersegmented neutrophils [18]. Anemia is also the most frequent hematological manifestation in patients with malignant diseases [19]. It may be the first diagnostic clue to an underlying malignant disease and may contribute to the patient’s symptoms from the disease as well as affect treatment decisions. It is known that tumor-associated cytokine production is a major factor in the anemia of malignancy. In fact, numerous in vitro studies have illustrated the central role of tumor necrosis factor-alpha (TNF-α) in the pathogenesis of anemia [20]. Other cytokines, such as interleukin-6 (IL-6), IL-1 and interferon-γ, have also been shown to inhibit erythroid precursors in vitro, albeit to a lesser extent [21]. The duration and severity of anemia seems to be related to the type of cancer, extent of disease, and myelosuppressive potency of chemotherapy [22]. The most common form of anemia seen in patients with cancer or hematological malignancies results from the underproduction of red cells: a hypoproliferative anemia characterized by a low reticulocyte production index and the absence of marrow erythroid hyperplasia despite significant persistent anemia. Again, one of the hallmarks of malignancy-associated anemia is the reduction in endogenous erythropoietin (EPO) levels with respect to the degree of anemia [23]. Malignancy can affect bone marrow as well (bone marrow fibrosis) and this can also result in anemia [24]. Bone marrow has a rich blood supply and is therefore a common site for a metastasis to develop [24]. Cancers of the breast, prostate, and lung are the commonest type to do this although almost all cancers have this capability. Once in the marrow the cancer cells can multiply easily and the tumor deposit enlarges, occupying more and more of the marrow space, so reducing the amount of blood-producing marrow and the subsequent anemia [25]. There are some tumors that arise from the bone marrow tissue itself, such as some types of leukemia and multiple myeloma. As these are more directly involved with the bone marrow’s function they are more commonly associated with anemia. A normocytic normochromic anemia is also common in patients with a variety of inflammatory disorders and there are many contributing factors [26]. In inflammation, from whatever cause, IL-6 induces the liver to produce hepcidin. Hepcidin decreases iron absorption from the bowel and blocks iron utilization in the bone marrow. Iron may be abundant in the bone marrow, but is not absorbed and is not in the circulation, and so is not available for erythropoiesis. Again, some chemotherapeutic agents induce anemia by impairing hematopoiesis [27]. In addition, nephrotoxic effects of particular cytotoxic agents, such as platinum salts, can also lead to the persistence of anemia through reduced EPO production by the kidney [28]. The myelosuppressive effect of cytotoxic agents might accumulate over the course of chemotherapy. This results in a steady increase in the incidence of anemia with every new cycle of chemotherapy. Furthermore, many diseases, conditions, and factors can cause our body to destroy its red blood cells leading to hemolytic anemia [29]. These causes can be inherited or acquired but sometimes the cause is not known. Hemolytic anemia can lead to many health problems, such as fatigue, pain, arrhythmias, and heart failure [30]. There are many types of hemolytic anemias and treatment and outlook depend on what type and how severe it is. The condition can develop suddenly or slowly and symptoms can range from mild to severe. Hemolytic anemia often can be successfully treated or controlled. Mild hemolytic anemia may need no treatment whereas severe hemolytic anemia will require prompt and proper treatment, or it may be fatal. Inherited forms of hemolytic anemia are lifelong conditions that may require ongoing treatment but acquired forms may go away if the cause of the condition is found and corrected [31]. The following are some examples of diseases that lead to hemolytic anemia: sickle cell disease, thalassemias, hereditary spherocytosis, glucose-6-phosphate dehydrogenase (G6PD) deficiency, pyruvate kinase deficiency, acquired hemolytic anemias, immune hemolytic anemia, and mechanical hemolytic anemias [32–34]. Results from a study by Rossing et al. showed a significant association between a lower Hb concentration and a decline in glomerular filtration rate (GFR) [35]. Other recent studies have also identified anemia as a risk factor for the need for renal replacement therapy in diabetes [36]. Furthermore, anemia has a negative impact on the survival of patients with diabetes and is considered to be an important cardiovascular risk factor associated with diabetes and renal disease [35, 36]. There is therefore a need for more studies on the incidence and prevalence of anemia among patients with diabetes particularly those with renal malfunction. This study therefore aimed to determine the prevalence of anemia due to renal insufficiency among patients with type 2 diabetes and the outcome showed a high incidence of anemia among them. The findings suggest that anemia is likely to occur in patients with diabetes with renal insufficiency, particularly when it is poorly controlled. It is therefore believed that presentation of the outcome will help increase the level of awareness and understanding of anemia among patients with diabetes, which will eventually lead to the development of interventions to optimize treatment outcomes in them. Conclusions: The findings of our study suggest that the high incidence of renal insufficiency observed in the participants with diabetes, among other factors, could have influenced the high incidence of anemic conditions seen. Anemia is therefore likely to occur in poorly controlled diabetes and in patients with diabetes with renal insufficiency. Including routine hematological (Hb) tests in the treatment of diabetes and considering factors such as glycemic control and renal sufficiency among others could help reduce anemia in diabetes and the possible complications that may come with it.
Background: Anemia is defined as a reduction in the hemoglobin concentration of blood, which consequently reduces the oxygen-carrying capacity of red blood cells such that they are unable to meet the body's physiological needs. Several reports have indicated that anemia mostly occurs in patients with diabetes with renal insufficiency while limited studies have reported the incidence of anemia in people with diabetes prior to evidence of renal impairment. Other studies have also identified anemia as a risk factor for the need for renal replacement therapy in diabetes. Understanding the pathogenesis of anemia associated with diabetes may lead to the development of interventions to optimize outcomes in these patients. The aim of this study was therefore to determine the prevalence of anemia among patients with type 2 diabetes. Methods: A total of 100 (50 with type 2 diabetes and 50 controls) participants were recruited for our study. Participants' blood samples were analyzed for fasting blood glucose, full blood count and renal function tests among others. The prevalence of anemia was then determined statistically. Results: A high incidence of anemia was observed in the cases. Of the patients with diabetes, 84.8% had a hemoglobin concentration that was significantly less (males 11.16±1.83 and females 10.41±1.49) than the controls (males 14.25±1.78 and females 12.53±1.14). Renal insufficiency determined by serum creatinine level of >1.5 mg/dL, estimated glomerular filtration rate <60 ml/minute/1.73 m2, and erythropoietin levels was also observed to be high in the cases (54.0%; with mean creatinine concentration of 3.43±1.73 and erythropoietin 6.35±1.28 mIU/mL). A significantly increased fasting blood glucose, urea, sodium, potassium, and calcium ions were observed in the cases (7.99±1.30, 5.19±1.99, 140.90±6.98, 4.86±0.53 and 1.47±0.31 respectively) as compared to the controls (4.66±0.54, 3.56±2.11, 135.51±6.84, 4.40±0.58 and 1.28±0.26 respectively). Finally, a significant association between hemoglobin concentration and fasting blood glucose was also observed in the cases. Conclusions: The findings suggest that a high incidence of anemia is likely to occur in patients with poorly controlled diabetes and in patients with diabetes and renal insufficiency.
8,477
399
[ 1223, 18, 46, 70, 61, 56, 51, 66, 96 ]
14
[ "anemia", "diabetes", "participants", "cases", "blood", "hb", "controls", "renal", "participants diabetes", "000" ]
[ "prevalence anemia people", "anemia prevalence needs", "anemia participants", "developing anemia", "anemia risk factors" ]
null
[CONTENT] Hemoglobin concentration | Anemia | Renal insufficiency | Diabetes [SUMMARY]
null
[CONTENT] Hemoglobin concentration | Anemia | Renal insufficiency | Diabetes [SUMMARY]
[CONTENT] Hemoglobin concentration | Anemia | Renal insufficiency | Diabetes [SUMMARY]
[CONTENT] Hemoglobin concentration | Anemia | Renal insufficiency | Diabetes [SUMMARY]
[CONTENT] Hemoglobin concentration | Anemia | Renal insufficiency | Diabetes [SUMMARY]
[CONTENT] Adult | Aged | Anemia | Blood Glucose | Calcium | Case-Control Studies | Creatinine | Diabetes Mellitus, Type 2 | Erythropoietin | Female | Ghana | Hemoglobins | Humans | Male | Middle Aged | Potassium | Prevalence | Renal Insufficiency | Sodium | Urea [SUMMARY]
null
[CONTENT] Adult | Aged | Anemia | Blood Glucose | Calcium | Case-Control Studies | Creatinine | Diabetes Mellitus, Type 2 | Erythropoietin | Female | Ghana | Hemoglobins | Humans | Male | Middle Aged | Potassium | Prevalence | Renal Insufficiency | Sodium | Urea [SUMMARY]
[CONTENT] Adult | Aged | Anemia | Blood Glucose | Calcium | Case-Control Studies | Creatinine | Diabetes Mellitus, Type 2 | Erythropoietin | Female | Ghana | Hemoglobins | Humans | Male | Middle Aged | Potassium | Prevalence | Renal Insufficiency | Sodium | Urea [SUMMARY]
[CONTENT] Adult | Aged | Anemia | Blood Glucose | Calcium | Case-Control Studies | Creatinine | Diabetes Mellitus, Type 2 | Erythropoietin | Female | Ghana | Hemoglobins | Humans | Male | Middle Aged | Potassium | Prevalence | Renal Insufficiency | Sodium | Urea [SUMMARY]
[CONTENT] Adult | Aged | Anemia | Blood Glucose | Calcium | Case-Control Studies | Creatinine | Diabetes Mellitus, Type 2 | Erythropoietin | Female | Ghana | Hemoglobins | Humans | Male | Middle Aged | Potassium | Prevalence | Renal Insufficiency | Sodium | Urea [SUMMARY]
[CONTENT] prevalence anemia people | anemia prevalence needs | anemia participants | developing anemia | anemia risk factors [SUMMARY]
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[CONTENT] prevalence anemia people | anemia prevalence needs | anemia participants | developing anemia | anemia risk factors [SUMMARY]
[CONTENT] prevalence anemia people | anemia prevalence needs | anemia participants | developing anemia | anemia risk factors [SUMMARY]
[CONTENT] prevalence anemia people | anemia prevalence needs | anemia participants | developing anemia | anemia risk factors [SUMMARY]
[CONTENT] prevalence anemia people | anemia prevalence needs | anemia participants | developing anemia | anemia risk factors [SUMMARY]
[CONTENT] anemia | diabetes | participants | cases | blood | hb | controls | renal | participants diabetes | 000 [SUMMARY]
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[CONTENT] anemia | diabetes | participants | cases | blood | hb | controls | renal | participants diabetes | 000 [SUMMARY]
[CONTENT] anemia | diabetes | participants | cases | blood | hb | controls | renal | participants diabetes | 000 [SUMMARY]
[CONTENT] anemia | diabetes | participants | cases | blood | hb | controls | renal | participants diabetes | 000 [SUMMARY]
[CONTENT] anemia | diabetes | participants | cases | blood | hb | controls | renal | participants diabetes | 000 [SUMMARY]
[CONTENT] anemia | marrow | hemolytic | deficiency | hemolytic anemia | bone | bone marrow | prevalence | diabetes | patients [SUMMARY]
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[CONTENT] cases | controls | 000 | participants | participants diabetes | diabetes | table | hemoglobin | cases controls | anemia [SUMMARY]
[CONTENT] diabetes | factors | renal | anemia | renal insufficiency | incidence | insufficiency | high | high incidence | anemic conditions seen [SUMMARY]
[CONTENT] anemia | diabetes | blood | participants | study | ml | renal | hb | tubes | tube [SUMMARY]
[CONTENT] anemia | diabetes | blood | participants | study | ml | renal | hb | tubes | tube [SUMMARY]
[CONTENT] ||| ||| ||| ||| 2 [SUMMARY]
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[CONTENT] ||| 84.8% | 11.16±1.83 | 14.25±1.78 | 12.53±1.14 ||| 1.5 mg | 60 ml/minute/1.73 | 54.0% | 3.43±1.73 | 6.35±1.28 | mIU/mL ||| 4.86±0.53 | 1.47±0.31 | 3.56±2.11 ||| [SUMMARY]
[CONTENT] [SUMMARY]
[CONTENT] ||| ||| ||| ||| 2 ||| 100 | 50 | 2 | 50 ||| ||| ||| ||| 84.8% | 11.16±1.83 | 14.25±1.78 | 12.53±1.14 ||| 1.5 mg | 60 ml/minute/1.73 | 54.0% | 3.43±1.73 | 6.35±1.28 | mIU/mL ||| 4.86±0.53 | 1.47±0.31 | 3.56±2.11 ||| ||| [SUMMARY]
[CONTENT] ||| ||| ||| ||| 2 ||| 100 | 50 | 2 | 50 ||| ||| ||| ||| 84.8% | 11.16±1.83 | 14.25±1.78 | 12.53±1.14 ||| 1.5 mg | 60 ml/minute/1.73 | 54.0% | 3.43±1.73 | 6.35±1.28 | mIU/mL ||| 4.86±0.53 | 1.47±0.31 | 3.56±2.11 ||| ||| [SUMMARY]
Recently discovered Aedes japonicus japonicus (Diptera: Culicidae) populations in The Netherlands and northern Germany resulted from a new introduction event and from a split from an existing population.
25608763
Originally native to East Asia, Aedes japonicus japonicus, a potential vector of several arboviruses, has become one of the most invasive mosquito species in the world. After having established in the USA, it is now spreading in Europe, with new populations emerging. In contrast to the USA, the introduction pathways and modes of dispersal in Europe are largely obscure.
BACKGROUND
To find out if two recently detected populations of Ae. j. japonicus in The Netherlands and northern Germany go back to new importations or to movements within Europe, the genetic makeup of mosquito specimens from all known European populations was compared. For this purpose, seven microsatellite loci from a representative number of mosquito specimens were genotyped and part of their mitochondrial nad4 gene sequenced.
METHODS
A novel nad4 haplotype found in the newly discovered Dutch population of Ae. j. japonicus suggests that this population is not closely related to the other European populations but has emanated from a further introduction event. With five nad4 haplotypes, the Dutch population also shows a very high genetic diversity indicating that either the founder population was very large or multiple introductions took place. By contrast, the recently detected North German population could be clearly assigned to one of the two previously determined European Ae. j. japonicus microsatellite genotypes and shows nad4 haplotypes that are known from West Germany.
RESULTS
As the European populations of Ae. j. japonicus are geographically separated but genetically mixed, their establishment must be attributed to passive transportation. In addition to intercontinental shipment, it can be assumed that human activities are also responsible for medium- and short-distance overland spread. A better understanding of the processes underlying the introduction and spread of this invasive species will help to increase public awareness of the human-mediated displacement of mosquitoes and to find strategies to avoid it.
CONCLUSION
[ "Aedes", "Animal Distribution", "Animals", "Base Sequence", "DNA Primers", "DNA, Mitochondrial", "Genotype", "Germany", "Haplotypes", "Introduced Species", "Microsatellite Repeats", "Molecular Sequence Data", "Netherlands", "Principal Component Analysis", "Sequence Analysis, DNA", "Species Specificity" ]
4311435
Background
The Asian bush mosquito Aedes (Finlaya) japonicus japonicus (Theobald, 1901) (Hulecoeteomyia japonica japonica sensu Reinert et al. [1]) is one of the most expansive mosquito species in the world [2]. After repeated interceptions in New Zealand in the early 1990s [3], the first established populations outside the original distribution range were detected in the eastern USA [4,5]. From three states that had initially been invaded, it spread in only a few years into 30 further states, including Hawaii [6-8]. Today, the species is also present in Canada [9]. In Europe, larvae of Ae. j. japonicus were first detected in the year 2000 in a used tyre trade company in France, but were eradicated [10]. In 2002, the mosquito was found in Belgium, again in the context of a used tyre platform. The species was still present in 2003 and 2004 and was found during a national mosquito monitoring programme in 2007 and 2008, when a second company trading with used tyres was affected in the same Belgian town [11]. As Ae. j. japonicus was never caught more than 2 km away from these two locations, it was concluded that the population was not expanding. Also in 2008, larvae of Ae. j. japonicus were discovered in northern Switzerland and in several places on the German side of the Swiss-German border [12]. A monitoring programme carried out in 2009 and 2010 in the German federal state of Baden-Wurttemberg showed that the Asian bush mosquito had already infested a large area along the border with Switzerland [13]. Another study from 2010 detected its presence near the city of Stuttgart, approximately 80 km north of what had been assumed to be the northern distribution limit of the species [14]. Several findings of Ae. j. japonicus individuals made in 2011 at various places in Baden-Wurttemberg (Werner & Kampen, unpublished) indicated a much greater distribution area at that time. In the same year, a population was found widely distributed on both sides of the Austrian-Slovenian border [15]. By 2013, this population had expanded over the entire country of Slovenia, even reaching northern Croatia (Kalan, Merdić, unpublished). Since its first detection in Baden-Wurttemberg in 2008, Ae. j. japonicus seems to have been spreading continuously across Germany. Populations have been shown to exist in the federal states of North Rhine-Westphalia and Rhineland-Palatinate [16] and, more recently, as far north as in Lower Saxony [17]. In January 2013, Dutch researchers detected a single Ae. j. japonicus female already trapped in July 2012 during routine monitoring in the municipality of Lelystad (province of Flevoland). Extensive surveillance from April to October 2013 in the surroundings of the first finding identified numerous breeding sites over large parts of the municipality [18]. The first finding was about 7 km from a tyre trading company, but no individuals could be found on the company’s premises. Of the six Ae. j. japonicus populations detected in Europe, only the Belgian one is known to be due to an importation in used tyres. For the other five populations there is no information on their mode of introduction nor on their origin or relatedness. Aedes j. japonicus is a potential vector of several arboviruses including West Nile virus (WNV) and Japanese encephalitis virus [19,20]. In the USA, it has been found infected with WNV in the field [21]. In addition, the species is able to transmit La Crosse encephalitis, St. Louis encephalitis, eastern equine encephalitis and Rift Valley fever viruses under laboratory conditions [22-24] and is susceptible to infection with chikungunya and dengue viruses [25]. Its spread and behaviour therefore merit close observation. The objective of the present study was (i) to learn more about the relationships between the various European populations of Ae. j. japonicus and, in particular, (ii) to assign the newly discovered populations in Lelystad, The Netherlands, and in Lower Saxony, Germany, to already known genotypes, in order to detect genetic proofs for introduction or migration events. For this purpose we analysed highly polymorphic simple sequence repeats (microsatellites) and maternally inherited, rapidly evolving mitochondrial nad4 sequences which are characterised by variable numbers of repeats or nucleotide sequences, making them appropriate targets for population genetics and the identification of source populations [26,27].
null
null
Results
Microsatellites of a total of 215 Ae. j. japonicus specimens from the Dutch, German and Slovenian/Croatian populations were analysed. In some cases, previously obtained data from West German, Swiss and Belgian samples [29] were included in the analyses for comparative purposes. The obtained microsatellite signatures enabled the examined specimens to be assigned to one of two genotypes described for Germany (Figure 2). The NG population displayed exactly the same genotype 2 as the individuals from WG that had been previously analysed [29]. All other European populations were to be assigned to genotype 1, although the Dutch population showed clear signs of admixture. Only one of the two Croatian individuals available provided analysable microsatellite data. For the statistical analyses, this individual was added to the geographically closest Slovenian region of Podravska. It showed a probability of more than 95% to belong to genotype 1.Figure 2 Results of Bayesian cluster analysis showing the two Ae. j. japonicus genotypes in Europe (yellow = genotype 1, blue = genotype 2). As the Slovenian and Croatian samples are considered to belong to one and the same population, the Croatian specimen has been added to the samples from Podravska (Slovenia) for the purpose of this presentation. WG, Swiss and Belgian individuals had previously been analysed [29] but are included for comparison. Results of Bayesian cluster analysis showing the two Ae. j. japonicus genotypes in Europe (yellow = genotype 1, blue = genotype 2). As the Slovenian and Croatian samples are considered to belong to one and the same population, the Croatian specimen has been added to the samples from Podravska (Slovenia) for the purpose of this presentation. WG, Swiss and Belgian individuals had previously been analysed [29] but are included for comparison. A Hardy-Weinberg equilibrium check showed significant deviations at most microsatellite loci of specimens from the two SG sites, Korntal and Waldshut-Tiengen. A few more departures from the Hardy-Weinberg equilibrium, mostly at loci OJ5, OJ10 and OJ187, were found across all populations. A closer inspection of these did not produce considerable effects of null alleles [41]. Deviations were due both to higher than expected and to lower than expected heterozygosity. Of the 215 genotyped individuals, 154 examined for their nad4 gene sequence provided analysable results. Nine different nad4 haplotypes were obtained: H1, H3, H5, H9, H12, H21, H33, and two haplotypes that have not previously been described (Figure 3). As there are currently 43 nad4 haplotypes known for Ae. j. japonicus (Fonseca, pers. comm.), we suggest naming the newly found haplotypes H44 and H45. Haplotype sequences are available in [27] and GenBank (accession nos. KJ958405, DQ470159, KM610232 and KM610233, with the latter two being the new ones). H21 and H45 occurred exclusively in Korntal (SG) near the city of Stuttgart in the federal state of Baden-Wurttemberg, while the newly discovered NG population only showed haplotypes H1 and H5. In the Dutch municipality of Lelystad, the most frequent haplotype was H12, which is unique in Europe. Displaying four further haplotypes, the Dutch population was the most heterogeneous one. This observation underlines the admixed microsatellite signature of this population. Among the haplotypes found in The Netherlands, H3 (a single individual) was shared with the Korntal (SG) samples, while H9 (five individuals) was a common haplotype in Slovenia. Surprisingly, the samples from the two SG locations did not share any nad4 haplotype, and their microsatellite signatures were different too. The Croatian mosquitoes could not be assigned to a defined haplotype as both specimens were characterised by mitochondrial heteroplasmy, the coexistence of multiple mitochondrial haplotypes in a single organism [42] which is a common phenomenon in Ae. j. japonicus.Figure 3 nad 4 haplotypes found at the different sampling locations. Croatian individuals were excluded due to heteroplasmy. WG, Swiss and Belgian individuals had previously been analysed [29] but are included for comparison. Black = haplotypes described from Europe only, blue = haplotypes also described from the USA, red = haplotypes also described from the USA and Japan. nad 4 haplotypes found at the different sampling locations. Croatian individuals were excluded due to heteroplasmy. WG, Swiss and Belgian individuals had previously been analysed [29] but are included for comparison. Black = haplotypes described from Europe only, blue = haplotypes also described from the USA, red = haplotypes also described from the USA and Japan. A principal coordinate analysis based on pairwise population FST values (Figure 4) suggests that the NG and WG samples are very closely related, but stand separate from the SG/Switzerland population. Although belonging to the same genotype 1, samples from the other populations were admixed and displayed a greater genetic distance. Interestingly, the Dutch samples seem to be closely related to those from Waldshut-Tiengen (SG). These, in turn, are more closely related to the previously examined and geographically closest Swiss individuals than to those from Korntal (SG) which are most similar to the Slovenian/Croatian ones. The previously analysed Belgian population [29] stands far apart from all other populations, underlining its geographic and genetic isolation.Figure 4 Principal coordinate analysis plot of pairwise population F ST values for the European Ae. j. japonicus populations. Previously analysed samples from West Germany, Switzerland and Belgium [29] are included in this plot to clarify the relationships between all European populations. Locations examined in this study are numbered as in Table 1. Yellow diamonds = genotype 1, blue diamonds = genotype 2. Samples from the same geographically distinct populations are encircled in blue. The diamond representing location 4, which belongs to the NG population, covers another diamond belonging to the WG population. Principal coordinate analysis plot of pairwise population F ST values for the European Ae. j. japonicus populations. Previously analysed samples from West Germany, Switzerland and Belgium [29] are included in this plot to clarify the relationships between all European populations. Locations examined in this study are numbered as in Table 1. Yellow diamonds = genotype 1, blue diamonds = genotype 2. Samples from the same geographically distinct populations are encircled in blue. The diamond representing location 4, which belongs to the NG population, covers another diamond belonging to the WG population.
Conclusions
Regarding intercontinental trade and travel as well as the transport of mosquitoes and pathogens between countries, it is to be expected that further populations of Ae. j. japonicus will appear in Europe and that the risk of pathogen transmission will increase. Aedes j. japonicus is known to feed on both birds and mammals, and bloodmeal analyses have shown that a high percentage (up to 60 %) of the identified blood sources were human [45]. Whilst Ae. j. japonicus has not attracted attention as an important vector in its native distribution area in East Asia, it was susceptible to several arboviruses in the laboratory, including WNV. A new study claims that German Ae. j. japonicus are refractory to WNV [46]. However, all the mosquitoes tested originated from a limited area in southern Germany, suggesting that a restricted and relatively homogeneous gene pool was included in the study. Other populations or subpopulations may very well be able to transmit WNV [19,47] or other pathogenic viruses. There is consent that the eradication of Ae. j. japonicus from Europe is no longer possible, but efforts should be made to eliminate sources of introduction and to prevent the present populations from spreading further.
[ "Mosquitoes", "DNA extraction", "Microsatellite analysis", "nad4 sequencing", "Statistical analysis" ]
[ "Mosquito larvae and eggs were collected between May and October 2013 from flower vases and other small artificial water containers and from ovitraps in cemeteries and gardens [28].\nIndividuals central to the study were collected from two sites, about 60 km apart, in the North German federal state of Lower Saxony (NG) and from six sites within the municipality of Lelystad, The Netherlands. In addition, specimens from two towns in the South German federal state of Baden-Wurttemberg (SG) and from 18 sites in Slovenia as well as two individuals from two close collection sites in Croatia were examined (for details see Table 1 and Figure 1). For comparison, previously analysed specimens from West Germany (WG), Belgium and Switzerland [29] were included.Table 1\nOrigin of\nAe. j. japonicus\nspecimens included in the study\n\nCountry\n\nFederal state/province/region\n\nLocation\n\nNo. of mosquitoes analysed\n\nI\n\nMicrosatellites\n\nnad\n4\nGermanyBaden-Wurttemberg (SG)Korntal (1)39221.26Waldshut-Tiengen (2)41261.21Lower Saxony (NG)Bad Eilsen (3)20201.1Sarstedt (4)12101.15The NetherlandsFlevolandLelystad (5)43371.06SloveniaPomurska(6)Ljutomer520.67Podravska (7)Selnica ob Dravi541.16Pesnica pri Mariboru20Sentilj52Lovrenc na Dravskem Polju21Ptuj32Makole55Ormoz22Koroska (8)Lovrenc na Pohorju541.12Ribnica na Pohorju22Muta33Slovenj Gradec54Savinjska (9)Rogatec211.23Smarje pri Jelsah20Bistrica ob Sotli54Osrednjeslovenska (10)Ig310.74Grosuplje22Ivancna Gorica10CroatiaKrapina-Zagorje (11)Djurmanec10n. a.Macelj00Out of a total of 215 individuals subjected to microsatellite analysis, 154 produced analysable nad4 sequence data. Numbers in parentheses refer to the geographic location of the collection sites as shown in Figure 1. NG = North Germany, SG = South Germany, I = Shannon’s information index, n. a. = not applicable.Figure 1\nGeographic distribution of\nAe. j. japonicus\nsampling locations (yellow dots). Numbers of locations refer to Table 1.\n\nOrigin of\nAe. j. japonicus\nspecimens included in the study\n\nOut of a total of 215 individuals subjected to microsatellite analysis, 154 produced analysable nad4 sequence data. Numbers in parentheses refer to the geographic location of the collection sites as shown in Figure 1. NG = North Germany, SG = South Germany, I = Shannon’s information index, n. a. = not applicable.\n\nGeographic distribution of\nAe. j. japonicus\nsampling locations (yellow dots). Numbers of locations refer to Table 1.\nLarvae from NG and SG were sampled in cemeteries, taken to the laboratory in their original water and reared to adults. These were killed by exposing them to -20°C for at least 1 h, identified morphologically to species level according to the key by Schaffner et al. [30] and kept frozen at -20°C until molecular examination. Dutch individuals were collected from rain water barrels and buckets in allotment gardens and from a flower vase in a cemetery. They were placed as larvae into 80% ethanol immediately after collection in the field and were also identified using the key by Schaffner et al. [30]. Slovenian specimens were also collected as larvae from cemeteries and gardens and preserved in 80% ethanol. Identification was made using the key in the ECDC’s guidelines for the surveillance of invasive mosquitoes in Europe [28]. The specimens from Croatia were reared to adults from eggs found in cemeteries and were determined to species using the key by Gutsevich et al. [31].", "DNA extraction was performed on complete adult mosquitoes or larvae using the QIAamp DNA Mini Kit (Qiagen) according to the manufacturer’s instructions. In the case of the Croatian individuals, DNA was extracted from single legs using the same kit. DNA was eluted in 80 μl EB buffer (Qiagen) and kept frozen until use.", "PCR amplification was performed in a C1000™ 96 well thermal cycler (BioRad). The thermoprofile consisted of a 3 min denaturation step at 94°C, followed by 30 cycles of 30 s at 94°C, 30 s at 56°C and 30 s at 72°C, and a final 10 min elongation step at 72°C. For each of the seven targeted microsatellite loci (OJ5, OJ10, OJ70, OJ85, OJ100, OJ187 and OJ338) one pair of primers was used as previously described [32]. Only the forward primer for locus OJ5 was redesigned [33]. PCR products were sized in a 3130xl Genetic Analyzer (Applied Biosystems/Hitachi), and the obtained fragment length analysis data were visualised and verified with GeneMapper 3.7 (Applied Biosystems).\nBecause frequency-based microsatellite analysis requires a minimum population size that was not given for every sampling site in Slovenia, individuals from there were assigned to five groups according to the geographic regions where they were sampled.", "Additionally, part of the sodium dehydrogenase subunit 4 (nad4) gene of the mitochondrial DNA of the sampled specimens was sequenced using a modification of the protocol of Fonseca et al. [32]. The primers used, ND4F (5′-CGTAGGAGGAGCAGCTATATT-3′) and ND4R1X (5′-TGATTGCCTAAGGCTCATGT-3′) [33], amplify a 424 bp fragment between positions 8398 and 8821 in the Anopheles gambiae genomic sequence (GenBank accession no. L20934). DNA amplification was preceded by a 10 min denaturation step at 96°C and consisted of 35 cycles of 40 s at 94°C, 40 s at 56°C and 60 s at 72°C. A final extension step of 7 min at 72°C was added. PCR products were checked by electrophoresis on a 1.5% agarose gel run for one hour and visualised by ethidium-bromide staining. DNA bands were excised and recovered with the QIAamp Gel Extraction Kit (Qiagen). Afterwards, they were cycle-sequenced in both directions with the BigDye Terminator v1.1 Cycle Sequencing Kit (Life Technologies). PCR products were cleaned with SigmaSpin Sequencing Reaction Clean-Up Columns (Sigma-Aldrich) before being run on a 3130xl Genetic Analyzer. FASTA files of the obtained sequences were aligned with MultAlin [34] to detect nucleotide polymorphisms.", "Microsatellite signatures were subjected to Bayesian cluster analysis of multilocus microsatellite genotypes implemented in the software STRUCTURE 2.0 [35]. Following the method of Evanno [36], the optimal number of clusters was determined using the web-based software STRUCTURE HARVESTER [37].\nNei’s genetic distance and pairwise population FST values were calculated with GenAlEx to perform a principal coordinate analysis (PCoA) [38]. Furthermore, departures from the Hardy-Weinberg equilibrium were examined. Shannon’s information index (I), the mean number of alleles and the observed and unbiased expected heterozygosity were identified using GenAlEx [39]. Shannon’s information index which is used to calculate genetic diversity is a quantity that shows the frequency of each allele in addition to the total number of alleles [39,40]. The higher the Shannon’s information index, the higher the population diversity. As the Shannon’s information index is frequency-based, it is not applicable to single individuals." ]
[ null, null, null, null, null ]
[ "Background", "Methods", "Mosquitoes", "DNA extraction", "Microsatellite analysis", "nad4 sequencing", "Statistical analysis", "Results", "Discussion", "Conclusions" ]
[ "The Asian bush mosquito Aedes (Finlaya) japonicus japonicus (Theobald, 1901) (Hulecoeteomyia japonica japonica sensu Reinert et al. [1]) is one of the most expansive mosquito species in the world [2]. After repeated interceptions in New Zealand in the early 1990s [3], the first established populations outside the original distribution range were detected in the eastern USA [4,5]. From three states that had initially been invaded, it spread in only a few years into 30 further states, including Hawaii [6-8]. Today, the species is also present in Canada [9].\nIn Europe, larvae of Ae. j. japonicus were first detected in the year 2000 in a used tyre trade company in France, but were eradicated [10]. In 2002, the mosquito was found in Belgium, again in the context of a used tyre platform. The species was still present in 2003 and 2004 and was found during a national mosquito monitoring programme in 2007 and 2008, when a second company trading with used tyres was affected in the same Belgian town [11]. As Ae. j. japonicus was never caught more than 2 km away from these two locations, it was concluded that the population was not expanding.\nAlso in 2008, larvae of Ae. j. japonicus were discovered in northern Switzerland and in several places on the German side of the Swiss-German border [12]. A monitoring programme carried out in 2009 and 2010 in the German federal state of Baden-Wurttemberg showed that the Asian bush mosquito had already infested a large area along the border with Switzerland [13]. Another study from 2010 detected its presence near the city of Stuttgart, approximately 80 km north of what had been assumed to be the northern distribution limit of the species [14]. Several findings of Ae. j. japonicus individuals made in 2011 at various places in Baden-Wurttemberg (Werner & Kampen, unpublished) indicated a much greater distribution area at that time. In the same year, a population was found widely distributed on both sides of the Austrian-Slovenian border [15]. By 2013, this population had expanded over the entire country of Slovenia, even reaching northern Croatia (Kalan, Merdić, unpublished).\nSince its first detection in Baden-Wurttemberg in 2008, Ae. j. japonicus seems to have been spreading continuously across Germany. Populations have been shown to exist in the federal states of North Rhine-Westphalia and Rhineland-Palatinate [16] and, more recently, as far north as in Lower Saxony [17]. In January 2013, Dutch researchers detected a single Ae. j. japonicus female already trapped in July 2012 during routine monitoring in the municipality of Lelystad (province of Flevoland). Extensive surveillance from April to October 2013 in the surroundings of the first finding identified numerous breeding sites over large parts of the municipality [18]. The first finding was about 7 km from a tyre trading company, but no individuals could be found on the company’s premises.\nOf the six Ae. j. japonicus populations detected in Europe, only the Belgian one is known to be due to an importation in used tyres. For the other five populations there is no information on their mode of introduction nor on their origin or relatedness.\nAedes j. japonicus is a potential vector of several arboviruses including West Nile virus (WNV) and Japanese encephalitis virus [19,20]. In the USA, it has been found infected with WNV in the field [21]. In addition, the species is able to transmit La Crosse encephalitis, St. Louis encephalitis, eastern equine encephalitis and Rift Valley fever viruses under laboratory conditions [22-24] and is susceptible to infection with chikungunya and dengue viruses [25]. Its spread and behaviour therefore merit close observation.\nThe objective of the present study was (i) to learn more about the relationships between the various European populations of Ae. j. japonicus and, in particular, (ii) to assign the newly discovered populations in Lelystad, The Netherlands, and in Lower Saxony, Germany, to already known genotypes, in order to detect genetic proofs for introduction or migration events. For this purpose we analysed highly polymorphic simple sequence repeats (microsatellites) and maternally inherited, rapidly evolving mitochondrial nad4 sequences which are characterised by variable numbers of repeats or nucleotide sequences, making them appropriate targets for population genetics and the identification of source populations [26,27].", " Mosquitoes Mosquito larvae and eggs were collected between May and October 2013 from flower vases and other small artificial water containers and from ovitraps in cemeteries and gardens [28].\nIndividuals central to the study were collected from two sites, about 60 km apart, in the North German federal state of Lower Saxony (NG) and from six sites within the municipality of Lelystad, The Netherlands. In addition, specimens from two towns in the South German federal state of Baden-Wurttemberg (SG) and from 18 sites in Slovenia as well as two individuals from two close collection sites in Croatia were examined (for details see Table 1 and Figure 1). For comparison, previously analysed specimens from West Germany (WG), Belgium and Switzerland [29] were included.Table 1\nOrigin of\nAe. j. japonicus\nspecimens included in the study\n\nCountry\n\nFederal state/province/region\n\nLocation\n\nNo. of mosquitoes analysed\n\nI\n\nMicrosatellites\n\nnad\n4\nGermanyBaden-Wurttemberg (SG)Korntal (1)39221.26Waldshut-Tiengen (2)41261.21Lower Saxony (NG)Bad Eilsen (3)20201.1Sarstedt (4)12101.15The NetherlandsFlevolandLelystad (5)43371.06SloveniaPomurska(6)Ljutomer520.67Podravska (7)Selnica ob Dravi541.16Pesnica pri Mariboru20Sentilj52Lovrenc na Dravskem Polju21Ptuj32Makole55Ormoz22Koroska (8)Lovrenc na Pohorju541.12Ribnica na Pohorju22Muta33Slovenj Gradec54Savinjska (9)Rogatec211.23Smarje pri Jelsah20Bistrica ob Sotli54Osrednjeslovenska (10)Ig310.74Grosuplje22Ivancna Gorica10CroatiaKrapina-Zagorje (11)Djurmanec10n. a.Macelj00Out of a total of 215 individuals subjected to microsatellite analysis, 154 produced analysable nad4 sequence data. Numbers in parentheses refer to the geographic location of the collection sites as shown in Figure 1. NG = North Germany, SG = South Germany, I = Shannon’s information index, n. a. = not applicable.Figure 1\nGeographic distribution of\nAe. j. japonicus\nsampling locations (yellow dots). Numbers of locations refer to Table 1.\n\nOrigin of\nAe. j. japonicus\nspecimens included in the study\n\nOut of a total of 215 individuals subjected to microsatellite analysis, 154 produced analysable nad4 sequence data. Numbers in parentheses refer to the geographic location of the collection sites as shown in Figure 1. NG = North Germany, SG = South Germany, I = Shannon’s information index, n. a. = not applicable.\n\nGeographic distribution of\nAe. j. japonicus\nsampling locations (yellow dots). Numbers of locations refer to Table 1.\nLarvae from NG and SG were sampled in cemeteries, taken to the laboratory in their original water and reared to adults. These were killed by exposing them to -20°C for at least 1 h, identified morphologically to species level according to the key by Schaffner et al. [30] and kept frozen at -20°C until molecular examination. Dutch individuals were collected from rain water barrels and buckets in allotment gardens and from a flower vase in a cemetery. They were placed as larvae into 80% ethanol immediately after collection in the field and were also identified using the key by Schaffner et al. [30]. Slovenian specimens were also collected as larvae from cemeteries and gardens and preserved in 80% ethanol. Identification was made using the key in the ECDC’s guidelines for the surveillance of invasive mosquitoes in Europe [28]. The specimens from Croatia were reared to adults from eggs found in cemeteries and were determined to species using the key by Gutsevich et al. [31].\nMosquito larvae and eggs were collected between May and October 2013 from flower vases and other small artificial water containers and from ovitraps in cemeteries and gardens [28].\nIndividuals central to the study were collected from two sites, about 60 km apart, in the North German federal state of Lower Saxony (NG) and from six sites within the municipality of Lelystad, The Netherlands. In addition, specimens from two towns in the South German federal state of Baden-Wurttemberg (SG) and from 18 sites in Slovenia as well as two individuals from two close collection sites in Croatia were examined (for details see Table 1 and Figure 1). For comparison, previously analysed specimens from West Germany (WG), Belgium and Switzerland [29] were included.Table 1\nOrigin of\nAe. j. japonicus\nspecimens included in the study\n\nCountry\n\nFederal state/province/region\n\nLocation\n\nNo. of mosquitoes analysed\n\nI\n\nMicrosatellites\n\nnad\n4\nGermanyBaden-Wurttemberg (SG)Korntal (1)39221.26Waldshut-Tiengen (2)41261.21Lower Saxony (NG)Bad Eilsen (3)20201.1Sarstedt (4)12101.15The NetherlandsFlevolandLelystad (5)43371.06SloveniaPomurska(6)Ljutomer520.67Podravska (7)Selnica ob Dravi541.16Pesnica pri Mariboru20Sentilj52Lovrenc na Dravskem Polju21Ptuj32Makole55Ormoz22Koroska (8)Lovrenc na Pohorju541.12Ribnica na Pohorju22Muta33Slovenj Gradec54Savinjska (9)Rogatec211.23Smarje pri Jelsah20Bistrica ob Sotli54Osrednjeslovenska (10)Ig310.74Grosuplje22Ivancna Gorica10CroatiaKrapina-Zagorje (11)Djurmanec10n. a.Macelj00Out of a total of 215 individuals subjected to microsatellite analysis, 154 produced analysable nad4 sequence data. Numbers in parentheses refer to the geographic location of the collection sites as shown in Figure 1. NG = North Germany, SG = South Germany, I = Shannon’s information index, n. a. = not applicable.Figure 1\nGeographic distribution of\nAe. j. japonicus\nsampling locations (yellow dots). Numbers of locations refer to Table 1.\n\nOrigin of\nAe. j. japonicus\nspecimens included in the study\n\nOut of a total of 215 individuals subjected to microsatellite analysis, 154 produced analysable nad4 sequence data. Numbers in parentheses refer to the geographic location of the collection sites as shown in Figure 1. NG = North Germany, SG = South Germany, I = Shannon’s information index, n. a. = not applicable.\n\nGeographic distribution of\nAe. j. japonicus\nsampling locations (yellow dots). Numbers of locations refer to Table 1.\nLarvae from NG and SG were sampled in cemeteries, taken to the laboratory in their original water and reared to adults. These were killed by exposing them to -20°C for at least 1 h, identified morphologically to species level according to the key by Schaffner et al. [30] and kept frozen at -20°C until molecular examination. Dutch individuals were collected from rain water barrels and buckets in allotment gardens and from a flower vase in a cemetery. They were placed as larvae into 80% ethanol immediately after collection in the field and were also identified using the key by Schaffner et al. [30]. Slovenian specimens were also collected as larvae from cemeteries and gardens and preserved in 80% ethanol. Identification was made using the key in the ECDC’s guidelines for the surveillance of invasive mosquitoes in Europe [28]. The specimens from Croatia were reared to adults from eggs found in cemeteries and were determined to species using the key by Gutsevich et al. [31].\n DNA extraction DNA extraction was performed on complete adult mosquitoes or larvae using the QIAamp DNA Mini Kit (Qiagen) according to the manufacturer’s instructions. In the case of the Croatian individuals, DNA was extracted from single legs using the same kit. DNA was eluted in 80 μl EB buffer (Qiagen) and kept frozen until use.\nDNA extraction was performed on complete adult mosquitoes or larvae using the QIAamp DNA Mini Kit (Qiagen) according to the manufacturer’s instructions. In the case of the Croatian individuals, DNA was extracted from single legs using the same kit. DNA was eluted in 80 μl EB buffer (Qiagen) and kept frozen until use.\n Microsatellite analysis PCR amplification was performed in a C1000™ 96 well thermal cycler (BioRad). The thermoprofile consisted of a 3 min denaturation step at 94°C, followed by 30 cycles of 30 s at 94°C, 30 s at 56°C and 30 s at 72°C, and a final 10 min elongation step at 72°C. For each of the seven targeted microsatellite loci (OJ5, OJ10, OJ70, OJ85, OJ100, OJ187 and OJ338) one pair of primers was used as previously described [32]. Only the forward primer for locus OJ5 was redesigned [33]. PCR products were sized in a 3130xl Genetic Analyzer (Applied Biosystems/Hitachi), and the obtained fragment length analysis data were visualised and verified with GeneMapper 3.7 (Applied Biosystems).\nBecause frequency-based microsatellite analysis requires a minimum population size that was not given for every sampling site in Slovenia, individuals from there were assigned to five groups according to the geographic regions where they were sampled.\nPCR amplification was performed in a C1000™ 96 well thermal cycler (BioRad). The thermoprofile consisted of a 3 min denaturation step at 94°C, followed by 30 cycles of 30 s at 94°C, 30 s at 56°C and 30 s at 72°C, and a final 10 min elongation step at 72°C. For each of the seven targeted microsatellite loci (OJ5, OJ10, OJ70, OJ85, OJ100, OJ187 and OJ338) one pair of primers was used as previously described [32]. Only the forward primer for locus OJ5 was redesigned [33]. PCR products were sized in a 3130xl Genetic Analyzer (Applied Biosystems/Hitachi), and the obtained fragment length analysis data were visualised and verified with GeneMapper 3.7 (Applied Biosystems).\nBecause frequency-based microsatellite analysis requires a minimum population size that was not given for every sampling site in Slovenia, individuals from there were assigned to five groups according to the geographic regions where they were sampled.\n nad4 sequencing Additionally, part of the sodium dehydrogenase subunit 4 (nad4) gene of the mitochondrial DNA of the sampled specimens was sequenced using a modification of the protocol of Fonseca et al. [32]. The primers used, ND4F (5′-CGTAGGAGGAGCAGCTATATT-3′) and ND4R1X (5′-TGATTGCCTAAGGCTCATGT-3′) [33], amplify a 424 bp fragment between positions 8398 and 8821 in the Anopheles gambiae genomic sequence (GenBank accession no. L20934). DNA amplification was preceded by a 10 min denaturation step at 96°C and consisted of 35 cycles of 40 s at 94°C, 40 s at 56°C and 60 s at 72°C. A final extension step of 7 min at 72°C was added. PCR products were checked by electrophoresis on a 1.5% agarose gel run for one hour and visualised by ethidium-bromide staining. DNA bands were excised and recovered with the QIAamp Gel Extraction Kit (Qiagen). Afterwards, they were cycle-sequenced in both directions with the BigDye Terminator v1.1 Cycle Sequencing Kit (Life Technologies). PCR products were cleaned with SigmaSpin Sequencing Reaction Clean-Up Columns (Sigma-Aldrich) before being run on a 3130xl Genetic Analyzer. FASTA files of the obtained sequences were aligned with MultAlin [34] to detect nucleotide polymorphisms.\nAdditionally, part of the sodium dehydrogenase subunit 4 (nad4) gene of the mitochondrial DNA of the sampled specimens was sequenced using a modification of the protocol of Fonseca et al. [32]. The primers used, ND4F (5′-CGTAGGAGGAGCAGCTATATT-3′) and ND4R1X (5′-TGATTGCCTAAGGCTCATGT-3′) [33], amplify a 424 bp fragment between positions 8398 and 8821 in the Anopheles gambiae genomic sequence (GenBank accession no. L20934). DNA amplification was preceded by a 10 min denaturation step at 96°C and consisted of 35 cycles of 40 s at 94°C, 40 s at 56°C and 60 s at 72°C. A final extension step of 7 min at 72°C was added. PCR products were checked by electrophoresis on a 1.5% agarose gel run for one hour and visualised by ethidium-bromide staining. DNA bands were excised and recovered with the QIAamp Gel Extraction Kit (Qiagen). Afterwards, they were cycle-sequenced in both directions with the BigDye Terminator v1.1 Cycle Sequencing Kit (Life Technologies). PCR products were cleaned with SigmaSpin Sequencing Reaction Clean-Up Columns (Sigma-Aldrich) before being run on a 3130xl Genetic Analyzer. FASTA files of the obtained sequences were aligned with MultAlin [34] to detect nucleotide polymorphisms.\n Statistical analysis Microsatellite signatures were subjected to Bayesian cluster analysis of multilocus microsatellite genotypes implemented in the software STRUCTURE 2.0 [35]. Following the method of Evanno [36], the optimal number of clusters was determined using the web-based software STRUCTURE HARVESTER [37].\nNei’s genetic distance and pairwise population FST values were calculated with GenAlEx to perform a principal coordinate analysis (PCoA) [38]. Furthermore, departures from the Hardy-Weinberg equilibrium were examined. Shannon’s information index (I), the mean number of alleles and the observed and unbiased expected heterozygosity were identified using GenAlEx [39]. Shannon’s information index which is used to calculate genetic diversity is a quantity that shows the frequency of each allele in addition to the total number of alleles [39,40]. The higher the Shannon’s information index, the higher the population diversity. As the Shannon’s information index is frequency-based, it is not applicable to single individuals.\nMicrosatellite signatures were subjected to Bayesian cluster analysis of multilocus microsatellite genotypes implemented in the software STRUCTURE 2.0 [35]. Following the method of Evanno [36], the optimal number of clusters was determined using the web-based software STRUCTURE HARVESTER [37].\nNei’s genetic distance and pairwise population FST values were calculated with GenAlEx to perform a principal coordinate analysis (PCoA) [38]. Furthermore, departures from the Hardy-Weinberg equilibrium were examined. Shannon’s information index (I), the mean number of alleles and the observed and unbiased expected heterozygosity were identified using GenAlEx [39]. Shannon’s information index which is used to calculate genetic diversity is a quantity that shows the frequency of each allele in addition to the total number of alleles [39,40]. The higher the Shannon’s information index, the higher the population diversity. As the Shannon’s information index is frequency-based, it is not applicable to single individuals.", "Mosquito larvae and eggs were collected between May and October 2013 from flower vases and other small artificial water containers and from ovitraps in cemeteries and gardens [28].\nIndividuals central to the study were collected from two sites, about 60 km apart, in the North German federal state of Lower Saxony (NG) and from six sites within the municipality of Lelystad, The Netherlands. In addition, specimens from two towns in the South German federal state of Baden-Wurttemberg (SG) and from 18 sites in Slovenia as well as two individuals from two close collection sites in Croatia were examined (for details see Table 1 and Figure 1). For comparison, previously analysed specimens from West Germany (WG), Belgium and Switzerland [29] were included.Table 1\nOrigin of\nAe. j. japonicus\nspecimens included in the study\n\nCountry\n\nFederal state/province/region\n\nLocation\n\nNo. of mosquitoes analysed\n\nI\n\nMicrosatellites\n\nnad\n4\nGermanyBaden-Wurttemberg (SG)Korntal (1)39221.26Waldshut-Tiengen (2)41261.21Lower Saxony (NG)Bad Eilsen (3)20201.1Sarstedt (4)12101.15The NetherlandsFlevolandLelystad (5)43371.06SloveniaPomurska(6)Ljutomer520.67Podravska (7)Selnica ob Dravi541.16Pesnica pri Mariboru20Sentilj52Lovrenc na Dravskem Polju21Ptuj32Makole55Ormoz22Koroska (8)Lovrenc na Pohorju541.12Ribnica na Pohorju22Muta33Slovenj Gradec54Savinjska (9)Rogatec211.23Smarje pri Jelsah20Bistrica ob Sotli54Osrednjeslovenska (10)Ig310.74Grosuplje22Ivancna Gorica10CroatiaKrapina-Zagorje (11)Djurmanec10n. a.Macelj00Out of a total of 215 individuals subjected to microsatellite analysis, 154 produced analysable nad4 sequence data. Numbers in parentheses refer to the geographic location of the collection sites as shown in Figure 1. NG = North Germany, SG = South Germany, I = Shannon’s information index, n. a. = not applicable.Figure 1\nGeographic distribution of\nAe. j. japonicus\nsampling locations (yellow dots). Numbers of locations refer to Table 1.\n\nOrigin of\nAe. j. japonicus\nspecimens included in the study\n\nOut of a total of 215 individuals subjected to microsatellite analysis, 154 produced analysable nad4 sequence data. Numbers in parentheses refer to the geographic location of the collection sites as shown in Figure 1. NG = North Germany, SG = South Germany, I = Shannon’s information index, n. a. = not applicable.\n\nGeographic distribution of\nAe. j. japonicus\nsampling locations (yellow dots). Numbers of locations refer to Table 1.\nLarvae from NG and SG were sampled in cemeteries, taken to the laboratory in their original water and reared to adults. These were killed by exposing them to -20°C for at least 1 h, identified morphologically to species level according to the key by Schaffner et al. [30] and kept frozen at -20°C until molecular examination. Dutch individuals were collected from rain water barrels and buckets in allotment gardens and from a flower vase in a cemetery. They were placed as larvae into 80% ethanol immediately after collection in the field and were also identified using the key by Schaffner et al. [30]. Slovenian specimens were also collected as larvae from cemeteries and gardens and preserved in 80% ethanol. Identification was made using the key in the ECDC’s guidelines for the surveillance of invasive mosquitoes in Europe [28]. The specimens from Croatia were reared to adults from eggs found in cemeteries and were determined to species using the key by Gutsevich et al. [31].", "DNA extraction was performed on complete adult mosquitoes or larvae using the QIAamp DNA Mini Kit (Qiagen) according to the manufacturer’s instructions. In the case of the Croatian individuals, DNA was extracted from single legs using the same kit. DNA was eluted in 80 μl EB buffer (Qiagen) and kept frozen until use.", "PCR amplification was performed in a C1000™ 96 well thermal cycler (BioRad). The thermoprofile consisted of a 3 min denaturation step at 94°C, followed by 30 cycles of 30 s at 94°C, 30 s at 56°C and 30 s at 72°C, and a final 10 min elongation step at 72°C. For each of the seven targeted microsatellite loci (OJ5, OJ10, OJ70, OJ85, OJ100, OJ187 and OJ338) one pair of primers was used as previously described [32]. Only the forward primer for locus OJ5 was redesigned [33]. PCR products were sized in a 3130xl Genetic Analyzer (Applied Biosystems/Hitachi), and the obtained fragment length analysis data were visualised and verified with GeneMapper 3.7 (Applied Biosystems).\nBecause frequency-based microsatellite analysis requires a minimum population size that was not given for every sampling site in Slovenia, individuals from there were assigned to five groups according to the geographic regions where they were sampled.", "Additionally, part of the sodium dehydrogenase subunit 4 (nad4) gene of the mitochondrial DNA of the sampled specimens was sequenced using a modification of the protocol of Fonseca et al. [32]. The primers used, ND4F (5′-CGTAGGAGGAGCAGCTATATT-3′) and ND4R1X (5′-TGATTGCCTAAGGCTCATGT-3′) [33], amplify a 424 bp fragment between positions 8398 and 8821 in the Anopheles gambiae genomic sequence (GenBank accession no. L20934). DNA amplification was preceded by a 10 min denaturation step at 96°C and consisted of 35 cycles of 40 s at 94°C, 40 s at 56°C and 60 s at 72°C. A final extension step of 7 min at 72°C was added. PCR products were checked by electrophoresis on a 1.5% agarose gel run for one hour and visualised by ethidium-bromide staining. DNA bands were excised and recovered with the QIAamp Gel Extraction Kit (Qiagen). Afterwards, they were cycle-sequenced in both directions with the BigDye Terminator v1.1 Cycle Sequencing Kit (Life Technologies). PCR products were cleaned with SigmaSpin Sequencing Reaction Clean-Up Columns (Sigma-Aldrich) before being run on a 3130xl Genetic Analyzer. FASTA files of the obtained sequences were aligned with MultAlin [34] to detect nucleotide polymorphisms.", "Microsatellite signatures were subjected to Bayesian cluster analysis of multilocus microsatellite genotypes implemented in the software STRUCTURE 2.0 [35]. Following the method of Evanno [36], the optimal number of clusters was determined using the web-based software STRUCTURE HARVESTER [37].\nNei’s genetic distance and pairwise population FST values were calculated with GenAlEx to perform a principal coordinate analysis (PCoA) [38]. Furthermore, departures from the Hardy-Weinberg equilibrium were examined. Shannon’s information index (I), the mean number of alleles and the observed and unbiased expected heterozygosity were identified using GenAlEx [39]. Shannon’s information index which is used to calculate genetic diversity is a quantity that shows the frequency of each allele in addition to the total number of alleles [39,40]. The higher the Shannon’s information index, the higher the population diversity. As the Shannon’s information index is frequency-based, it is not applicable to single individuals.", "Microsatellites of a total of 215 Ae. j. japonicus specimens from the Dutch, German and Slovenian/Croatian populations were analysed. In some cases, previously obtained data from West German, Swiss and Belgian samples [29] were included in the analyses for comparative purposes.\nThe obtained microsatellite signatures enabled the examined specimens to be assigned to one of two genotypes described for Germany (Figure 2). The NG population displayed exactly the same genotype 2 as the individuals from WG that had been previously analysed [29]. All other European populations were to be assigned to genotype 1, although the Dutch population showed clear signs of admixture. Only one of the two Croatian individuals available provided analysable microsatellite data. For the statistical analyses, this individual was added to the geographically closest Slovenian region of Podravska. It showed a probability of more than 95% to belong to genotype 1.Figure 2\nResults of Bayesian cluster analysis showing the two\nAe. j. japonicus\ngenotypes in Europe (yellow = genotype 1, blue = genotype 2). As the Slovenian and Croatian samples are considered to belong to one and the same population, the Croatian specimen has been added to the samples from Podravska (Slovenia) for the purpose of this presentation. WG, Swiss and Belgian individuals had previously been analysed [29] but are included for comparison.\n\nResults of Bayesian cluster analysis showing the two\nAe. j. japonicus\ngenotypes in Europe (yellow = genotype 1, blue = genotype 2). As the Slovenian and Croatian samples are considered to belong to one and the same population, the Croatian specimen has been added to the samples from Podravska (Slovenia) for the purpose of this presentation. WG, Swiss and Belgian individuals had previously been analysed [29] but are included for comparison.\nA Hardy-Weinberg equilibrium check showed significant deviations at most microsatellite loci of specimens from the two SG sites, Korntal and Waldshut-Tiengen. A few more departures from the Hardy-Weinberg equilibrium, mostly at loci OJ5, OJ10 and OJ187, were found across all populations. A closer inspection of these did not produce considerable effects of null alleles [41]. Deviations were due both to higher than expected and to lower than expected heterozygosity.\nOf the 215 genotyped individuals, 154 examined for their nad4 gene sequence provided analysable results. Nine different nad4 haplotypes were obtained: H1, H3, H5, H9, H12, H21, H33, and two haplotypes that have not previously been described (Figure 3). As there are currently 43 nad4 haplotypes known for Ae. j. japonicus (Fonseca, pers. comm.), we suggest naming the newly found haplotypes H44 and H45. Haplotype sequences are available in [27] and GenBank (accession nos. KJ958405, DQ470159, KM610232 and KM610233, with the latter two being the new ones). H21 and H45 occurred exclusively in Korntal (SG) near the city of Stuttgart in the federal state of Baden-Wurttemberg, while the newly discovered NG population only showed haplotypes H1 and H5. In the Dutch municipality of Lelystad, the most frequent haplotype was H12, which is unique in Europe. Displaying four further haplotypes, the Dutch population was the most heterogeneous one. This observation underlines the admixed microsatellite signature of this population. Among the haplotypes found in The Netherlands, H3 (a single individual) was shared with the Korntal (SG) samples, while H9 (five individuals) was a common haplotype in Slovenia. Surprisingly, the samples from the two SG locations did not share any nad4 haplotype, and their microsatellite signatures were different too. The Croatian mosquitoes could not be assigned to a defined haplotype as both specimens were characterised by mitochondrial heteroplasmy, the coexistence of multiple mitochondrial haplotypes in a single organism [42] which is a common phenomenon in Ae. j. japonicus.Figure 3\nnad\n4 haplotypes found at the different sampling locations. Croatian individuals were excluded due to heteroplasmy. WG, Swiss and Belgian individuals had previously been analysed [29] but are included for comparison. Black = haplotypes described from Europe only, blue = haplotypes also described from the USA, red = haplotypes also described from the USA and Japan.\n\nnad\n4 haplotypes found at the different sampling locations. Croatian individuals were excluded due to heteroplasmy. WG, Swiss and Belgian individuals had previously been analysed [29] but are included for comparison. Black = haplotypes described from Europe only, blue = haplotypes also described from the USA, red = haplotypes also described from the USA and Japan.\nA principal coordinate analysis based on pairwise population FST values (Figure 4) suggests that the NG and WG samples are very closely related, but stand separate from the SG/Switzerland population. Although belonging to the same genotype 1, samples from the other populations were admixed and displayed a greater genetic distance. Interestingly, the Dutch samples seem to be closely related to those from Waldshut-Tiengen (SG). These, in turn, are more closely related to the previously examined and geographically closest Swiss individuals than to those from Korntal (SG) which are most similar to the Slovenian/Croatian ones. The previously analysed Belgian population [29] stands far apart from all other populations, underlining its geographic and genetic isolation.Figure 4\nPrincipal coordinate analysis plot of pairwise population\nF\nST\nvalues for the European\nAe. j. japonicus\npopulations. Previously analysed samples from West Germany, Switzerland and Belgium [29] are included in this plot to clarify the relationships between all European populations. Locations examined in this study are numbered as in Table 1. Yellow diamonds = genotype 1, blue diamonds = genotype 2. Samples from the same geographically distinct populations are encircled in blue. The diamond representing location 4, which belongs to the NG population, covers another diamond belonging to the WG population.\n\nPrincipal coordinate analysis plot of pairwise population\nF\nST\nvalues for the European\nAe. j. japonicus\npopulations. Previously analysed samples from West Germany, Switzerland and Belgium [29] are included in this plot to clarify the relationships between all European populations. Locations examined in this study are numbered as in Table 1. Yellow diamonds = genotype 1, blue diamonds = genotype 2. Samples from the same geographically distinct populations are encircled in blue. The diamond representing location 4, which belongs to the NG population, covers another diamond belonging to the WG population.", "A previous study focussing on the West German Ae. j. japonicus population established the existence of two distinct but mixed genetic strains of this species in Europe [29]. During that study, mosquito samples from the most recently discovered geographic populations in The Netherlands and northern Germany were not yet available. In addition, only a few specimens from the Slovenian population were included. In the present study, representative numbers of all European populations not previously analysed were considered and, based on Bayesian cluster analysis of their microsatellite data, could be clearly assigned to one of the two genetic strains previously identified in Europe.\nThe results of Zielke et al. [29] led to the conclusion that the Asian bush mosquito was introduced into Europe on at least two occasions. Samples from the Belgian population [11] show a genotype 1 genetic signature, equal to most of the individuals from the SG and Slovenian/Croatian populations. By contrast, the population detected in western Germany in 2012 appears to be the result of a second introduction of Ae. j. japonicus into Europe [29]. Due to microsatellite signatures identical to those of samples from WG, the NG population must be supposed to be an offshoot of the WG population. In summary, the microsatellite analysis (Figures 2 and 4) mirrors the geographic separation of the various European populations.\nThe mitochondrial haplotypes H1 and H5 found in North Germany are also common in the previously described WG population and support a close genetic relationship. H1 is a common haplotype which can be found in most Ae. j. japonicus populations all over the world. Haplotype H5 is also common on the northern Japanese island of Hokkaido [27] but was very rarely found in the USA, suggesting that genotype 2 German Ae. j. japonicus might have been introduced from Japan. As adults or larvae, individuals could then have been transported by vehicles along the motorways between the German federal states. This assumption is supported by the fact that the initial findings of Ae. j. japonicus in northern Germany were concentrated in cemeteries of towns close to a motorway running northwards from West Germany [17]. An active migration of the species from West to North Germany can be excluded because the two populations are geographically separated.\nSamples from South Germany differ significantly from each other in their genetic makeup although forming one geographic population. Individuals from Waldshut-Tiengen (SG) are apparently more closely related to the Swiss samples of the same geographic population than to the Korntal (SG) samples, as only the first two of them show haplotype H33. This haplotype has not been reported from the USA, and in Europe has so far only been found in Swiss specimens [29]. This suggests an introduction of at least a few individuals from Asia. By contrast, individuals from Korntal (SG) are characterised by haplotypes H3, H21 and H45. The latter two haplotypes have been found exclusively in the Korntal (SG) samples. This might indicate a separate introduction of mosquitoes into this area. H3 was first detected in individuals from the southern Japanese islands of Honshu and Kyushu [27] whereas H21 was previously found in some Pennsylvanian individuals [32]. Furthermore, the Korntal (SG) samples show a very clear microsatellite signature of genotype 1 with almost no admixture of genotype 2 (Figure 2).\nTo date, Lelystad in The Netherlands is considered to be the northernmost location infested by Ae. j. japonicus in Europe. The Dutch population shows an admixed microsatellite signature as displayed by Bayesian cluster analysis. Its genetic makeup looks like a mixture between Slovenian/SG and WG/NG individuals, which is supported by PCoA, suggesting that at least two introductions of mosquitoes into The Netherlands have taken place. However, the fact that the Dutch population shows a relatively large number of five nad4 haplotypes including one novel haplotype suggests a different conclusion: a large number of individuals with high genetic diversity could have been introduced recently from overseas. The genetic diversity may in this case be a measure of the time that has passed since the introduction. With time passing, founder populations normally experience a loss of genetic diversity, known as the founder effect [43]. If present, it should be possible to see this effect in future analyses of the Dutch Ae. j. japonicus population. Haplotypes H9 and H12, which account for 42% of the Dutch individuals, are the only haplotypes described by Fonseca et al. [27] for populations in Pennsylvania and Maryland.\nOf the 18 Slovenian sampling localities examined, seven were located close to the Austrian border, eight close to the Croatian border and three in the centre of the country (cf. Figure 1). According to the Bayesian cluster analysis, all Slovenian/Croatian individuals show the same microsatellite signature of genotype 1 with only a little admixture of genotype 2 (Figure 2). Because the species is not yet widely distributed in Croatia, only two individuals were available. As with some specimens from other locations, these unfortunately could not be analysed due to their being heteroplasmic. Together with the Dutch samples, the Slovenian samples were the only ones in Europe to show nad4 haplotype H9. Additionally, some Slovenian individuals displayed haplotype H5, which is widely distributed in the NG and WG populations, indicating a possible link between these two and the Slovenian population.\nIn summary, the genetic information is not sufficient to decide whether the European Ae. j. japonicus have been introduced from the USA or from Japan, or from both countries. As the worldwide expansion of the species started almost two decades ago, exact source determination is becoming more and more difficult. Mitochondrial haplotypes are widespread, and in many cases it is impossible to say whether the species has found its way to Europe from Japan or from the USA.\nIn spite of this, all known Ae. j. japonicus populations in Europe must be assumed to have reached their infestation areas through human-mediated transport. Their apparent geographic separation does not permit any other conclusion. Individuals reach new regions passively and initially may manage to establish a relatively small population, depending on the number of founder individuals. When such populations merge, they can increase their genetic diversity and, accordingly, their adaptability. It is the mixed populations with high genetic diversity that are adaptable and likely to establish [44]. So far, six populations of Ae. j. japonicus have been found in Europe. Their genetic makeup shows a mixture of two genotypes, and most of the populations are expanding. The exception is the Belgian population, which seems to be very inbred and has a low genetic diversity [29]. At the same time, this population is the only one that has not expanded the area of infestation over the years since its introduction [45].", "Regarding intercontinental trade and travel as well as the transport of mosquitoes and pathogens between countries, it is to be expected that further populations of Ae. j. japonicus will appear in Europe and that the risk of pathogen transmission will increase. Aedes j. japonicus is known to feed on both birds and mammals, and bloodmeal analyses have shown that a high percentage (up to 60 %) of the identified blood sources were human [45]. Whilst Ae. j. japonicus has not attracted attention as an important vector in its native distribution area in East Asia, it was susceptible to several arboviruses in the laboratory, including WNV. A new study claims that German Ae. j. japonicus are refractory to WNV [46]. However, all the mosquitoes tested originated from a limited area in southern Germany, suggesting that a restricted and relatively homogeneous gene pool was included in the study. Other populations or subpopulations may very well be able to transmit WNV [19,47] or other pathogenic viruses.\nThere is consent that the eradication of Ae. j. japonicus from Europe is no longer possible, but efforts should be made to eliminate sources of introduction and to prevent the present populations from spreading further." ]
[ "introduction", "materials|methods", null, null, null, null, null, "results", "discussion", "conclusion" ]
[ "\nAedes japonicus japonicus\n", "Asian bush mosquito", "Europe", "Microsatellites", "Population genetics", "nad4 haplotypes" ]
Background: The Asian bush mosquito Aedes (Finlaya) japonicus japonicus (Theobald, 1901) (Hulecoeteomyia japonica japonica sensu Reinert et al. [1]) is one of the most expansive mosquito species in the world [2]. After repeated interceptions in New Zealand in the early 1990s [3], the first established populations outside the original distribution range were detected in the eastern USA [4,5]. From three states that had initially been invaded, it spread in only a few years into 30 further states, including Hawaii [6-8]. Today, the species is also present in Canada [9]. In Europe, larvae of Ae. j. japonicus were first detected in the year 2000 in a used tyre trade company in France, but were eradicated [10]. In 2002, the mosquito was found in Belgium, again in the context of a used tyre platform. The species was still present in 2003 and 2004 and was found during a national mosquito monitoring programme in 2007 and 2008, when a second company trading with used tyres was affected in the same Belgian town [11]. As Ae. j. japonicus was never caught more than 2 km away from these two locations, it was concluded that the population was not expanding. Also in 2008, larvae of Ae. j. japonicus were discovered in northern Switzerland and in several places on the German side of the Swiss-German border [12]. A monitoring programme carried out in 2009 and 2010 in the German federal state of Baden-Wurttemberg showed that the Asian bush mosquito had already infested a large area along the border with Switzerland [13]. Another study from 2010 detected its presence near the city of Stuttgart, approximately 80 km north of what had been assumed to be the northern distribution limit of the species [14]. Several findings of Ae. j. japonicus individuals made in 2011 at various places in Baden-Wurttemberg (Werner & Kampen, unpublished) indicated a much greater distribution area at that time. In the same year, a population was found widely distributed on both sides of the Austrian-Slovenian border [15]. By 2013, this population had expanded over the entire country of Slovenia, even reaching northern Croatia (Kalan, Merdić, unpublished). Since its first detection in Baden-Wurttemberg in 2008, Ae. j. japonicus seems to have been spreading continuously across Germany. Populations have been shown to exist in the federal states of North Rhine-Westphalia and Rhineland-Palatinate [16] and, more recently, as far north as in Lower Saxony [17]. In January 2013, Dutch researchers detected a single Ae. j. japonicus female already trapped in July 2012 during routine monitoring in the municipality of Lelystad (province of Flevoland). Extensive surveillance from April to October 2013 in the surroundings of the first finding identified numerous breeding sites over large parts of the municipality [18]. The first finding was about 7 km from a tyre trading company, but no individuals could be found on the company’s premises. Of the six Ae. j. japonicus populations detected in Europe, only the Belgian one is known to be due to an importation in used tyres. For the other five populations there is no information on their mode of introduction nor on their origin or relatedness. Aedes j. japonicus is a potential vector of several arboviruses including West Nile virus (WNV) and Japanese encephalitis virus [19,20]. In the USA, it has been found infected with WNV in the field [21]. In addition, the species is able to transmit La Crosse encephalitis, St. Louis encephalitis, eastern equine encephalitis and Rift Valley fever viruses under laboratory conditions [22-24] and is susceptible to infection with chikungunya and dengue viruses [25]. Its spread and behaviour therefore merit close observation. The objective of the present study was (i) to learn more about the relationships between the various European populations of Ae. j. japonicus and, in particular, (ii) to assign the newly discovered populations in Lelystad, The Netherlands, and in Lower Saxony, Germany, to already known genotypes, in order to detect genetic proofs for introduction or migration events. For this purpose we analysed highly polymorphic simple sequence repeats (microsatellites) and maternally inherited, rapidly evolving mitochondrial nad4 sequences which are characterised by variable numbers of repeats or nucleotide sequences, making them appropriate targets for population genetics and the identification of source populations [26,27]. Methods: Mosquitoes Mosquito larvae and eggs were collected between May and October 2013 from flower vases and other small artificial water containers and from ovitraps in cemeteries and gardens [28]. Individuals central to the study were collected from two sites, about 60 km apart, in the North German federal state of Lower Saxony (NG) and from six sites within the municipality of Lelystad, The Netherlands. In addition, specimens from two towns in the South German federal state of Baden-Wurttemberg (SG) and from 18 sites in Slovenia as well as two individuals from two close collection sites in Croatia were examined (for details see Table 1 and Figure 1). For comparison, previously analysed specimens from West Germany (WG), Belgium and Switzerland [29] were included.Table 1 Origin of Ae. j. japonicus specimens included in the study Country Federal state/province/region Location No. of mosquitoes analysed I Microsatellites nad 4 GermanyBaden-Wurttemberg (SG)Korntal (1)39221.26Waldshut-Tiengen (2)41261.21Lower Saxony (NG)Bad Eilsen (3)20201.1Sarstedt (4)12101.15The NetherlandsFlevolandLelystad (5)43371.06SloveniaPomurska(6)Ljutomer520.67Podravska (7)Selnica ob Dravi541.16Pesnica pri Mariboru20Sentilj52Lovrenc na Dravskem Polju21Ptuj32Makole55Ormoz22Koroska (8)Lovrenc na Pohorju541.12Ribnica na Pohorju22Muta33Slovenj Gradec54Savinjska (9)Rogatec211.23Smarje pri Jelsah20Bistrica ob Sotli54Osrednjeslovenska (10)Ig310.74Grosuplje22Ivancna Gorica10CroatiaKrapina-Zagorje (11)Djurmanec10n. a.Macelj00Out of a total of 215 individuals subjected to microsatellite analysis, 154 produced analysable nad4 sequence data. Numbers in parentheses refer to the geographic location of the collection sites as shown in Figure 1. NG = North Germany, SG = South Germany, I = Shannon’s information index, n. a. = not applicable.Figure 1 Geographic distribution of Ae. j. japonicus sampling locations (yellow dots). Numbers of locations refer to Table 1. Origin of Ae. j. japonicus specimens included in the study Out of a total of 215 individuals subjected to microsatellite analysis, 154 produced analysable nad4 sequence data. Numbers in parentheses refer to the geographic location of the collection sites as shown in Figure 1. NG = North Germany, SG = South Germany, I = Shannon’s information index, n. a. = not applicable. Geographic distribution of Ae. j. japonicus sampling locations (yellow dots). Numbers of locations refer to Table 1. Larvae from NG and SG were sampled in cemeteries, taken to the laboratory in their original water and reared to adults. These were killed by exposing them to -20°C for at least 1 h, identified morphologically to species level according to the key by Schaffner et al. [30] and kept frozen at -20°C until molecular examination. Dutch individuals were collected from rain water barrels and buckets in allotment gardens and from a flower vase in a cemetery. They were placed as larvae into 80% ethanol immediately after collection in the field and were also identified using the key by Schaffner et al. [30]. Slovenian specimens were also collected as larvae from cemeteries and gardens and preserved in 80% ethanol. Identification was made using the key in the ECDC’s guidelines for the surveillance of invasive mosquitoes in Europe [28]. The specimens from Croatia were reared to adults from eggs found in cemeteries and were determined to species using the key by Gutsevich et al. [31]. Mosquito larvae and eggs were collected between May and October 2013 from flower vases and other small artificial water containers and from ovitraps in cemeteries and gardens [28]. Individuals central to the study were collected from two sites, about 60 km apart, in the North German federal state of Lower Saxony (NG) and from six sites within the municipality of Lelystad, The Netherlands. In addition, specimens from two towns in the South German federal state of Baden-Wurttemberg (SG) and from 18 sites in Slovenia as well as two individuals from two close collection sites in Croatia were examined (for details see Table 1 and Figure 1). For comparison, previously analysed specimens from West Germany (WG), Belgium and Switzerland [29] were included.Table 1 Origin of Ae. j. japonicus specimens included in the study Country Federal state/province/region Location No. of mosquitoes analysed I Microsatellites nad 4 GermanyBaden-Wurttemberg (SG)Korntal (1)39221.26Waldshut-Tiengen (2)41261.21Lower Saxony (NG)Bad Eilsen (3)20201.1Sarstedt (4)12101.15The NetherlandsFlevolandLelystad (5)43371.06SloveniaPomurska(6)Ljutomer520.67Podravska (7)Selnica ob Dravi541.16Pesnica pri Mariboru20Sentilj52Lovrenc na Dravskem Polju21Ptuj32Makole55Ormoz22Koroska (8)Lovrenc na Pohorju541.12Ribnica na Pohorju22Muta33Slovenj Gradec54Savinjska (9)Rogatec211.23Smarje pri Jelsah20Bistrica ob Sotli54Osrednjeslovenska (10)Ig310.74Grosuplje22Ivancna Gorica10CroatiaKrapina-Zagorje (11)Djurmanec10n. a.Macelj00Out of a total of 215 individuals subjected to microsatellite analysis, 154 produced analysable nad4 sequence data. Numbers in parentheses refer to the geographic location of the collection sites as shown in Figure 1. NG = North Germany, SG = South Germany, I = Shannon’s information index, n. a. = not applicable.Figure 1 Geographic distribution of Ae. j. japonicus sampling locations (yellow dots). Numbers of locations refer to Table 1. Origin of Ae. j. japonicus specimens included in the study Out of a total of 215 individuals subjected to microsatellite analysis, 154 produced analysable nad4 sequence data. Numbers in parentheses refer to the geographic location of the collection sites as shown in Figure 1. NG = North Germany, SG = South Germany, I = Shannon’s information index, n. a. = not applicable. Geographic distribution of Ae. j. japonicus sampling locations (yellow dots). Numbers of locations refer to Table 1. Larvae from NG and SG were sampled in cemeteries, taken to the laboratory in their original water and reared to adults. These were killed by exposing them to -20°C for at least 1 h, identified morphologically to species level according to the key by Schaffner et al. [30] and kept frozen at -20°C until molecular examination. Dutch individuals were collected from rain water barrels and buckets in allotment gardens and from a flower vase in a cemetery. They were placed as larvae into 80% ethanol immediately after collection in the field and were also identified using the key by Schaffner et al. [30]. Slovenian specimens were also collected as larvae from cemeteries and gardens and preserved in 80% ethanol. Identification was made using the key in the ECDC’s guidelines for the surveillance of invasive mosquitoes in Europe [28]. The specimens from Croatia were reared to adults from eggs found in cemeteries and were determined to species using the key by Gutsevich et al. [31]. DNA extraction DNA extraction was performed on complete adult mosquitoes or larvae using the QIAamp DNA Mini Kit (Qiagen) according to the manufacturer’s instructions. In the case of the Croatian individuals, DNA was extracted from single legs using the same kit. DNA was eluted in 80 μl EB buffer (Qiagen) and kept frozen until use. DNA extraction was performed on complete adult mosquitoes or larvae using the QIAamp DNA Mini Kit (Qiagen) according to the manufacturer’s instructions. In the case of the Croatian individuals, DNA was extracted from single legs using the same kit. DNA was eluted in 80 μl EB buffer (Qiagen) and kept frozen until use. Microsatellite analysis PCR amplification was performed in a C1000™ 96 well thermal cycler (BioRad). The thermoprofile consisted of a 3 min denaturation step at 94°C, followed by 30 cycles of 30 s at 94°C, 30 s at 56°C and 30 s at 72°C, and a final 10 min elongation step at 72°C. For each of the seven targeted microsatellite loci (OJ5, OJ10, OJ70, OJ85, OJ100, OJ187 and OJ338) one pair of primers was used as previously described [32]. Only the forward primer for locus OJ5 was redesigned [33]. PCR products were sized in a 3130xl Genetic Analyzer (Applied Biosystems/Hitachi), and the obtained fragment length analysis data were visualised and verified with GeneMapper 3.7 (Applied Biosystems). Because frequency-based microsatellite analysis requires a minimum population size that was not given for every sampling site in Slovenia, individuals from there were assigned to five groups according to the geographic regions where they were sampled. PCR amplification was performed in a C1000™ 96 well thermal cycler (BioRad). The thermoprofile consisted of a 3 min denaturation step at 94°C, followed by 30 cycles of 30 s at 94°C, 30 s at 56°C and 30 s at 72°C, and a final 10 min elongation step at 72°C. For each of the seven targeted microsatellite loci (OJ5, OJ10, OJ70, OJ85, OJ100, OJ187 and OJ338) one pair of primers was used as previously described [32]. Only the forward primer for locus OJ5 was redesigned [33]. PCR products were sized in a 3130xl Genetic Analyzer (Applied Biosystems/Hitachi), and the obtained fragment length analysis data were visualised and verified with GeneMapper 3.7 (Applied Biosystems). Because frequency-based microsatellite analysis requires a minimum population size that was not given for every sampling site in Slovenia, individuals from there were assigned to five groups according to the geographic regions where they were sampled. nad4 sequencing Additionally, part of the sodium dehydrogenase subunit 4 (nad4) gene of the mitochondrial DNA of the sampled specimens was sequenced using a modification of the protocol of Fonseca et al. [32]. The primers used, ND4F (5′-CGTAGGAGGAGCAGCTATATT-3′) and ND4R1X (5′-TGATTGCCTAAGGCTCATGT-3′) [33], amplify a 424 bp fragment between positions 8398 and 8821 in the Anopheles gambiae genomic sequence (GenBank accession no. L20934). DNA amplification was preceded by a 10 min denaturation step at 96°C and consisted of 35 cycles of 40 s at 94°C, 40 s at 56°C and 60 s at 72°C. A final extension step of 7 min at 72°C was added. PCR products were checked by electrophoresis on a 1.5% agarose gel run for one hour and visualised by ethidium-bromide staining. DNA bands were excised and recovered with the QIAamp Gel Extraction Kit (Qiagen). Afterwards, they were cycle-sequenced in both directions with the BigDye Terminator v1.1 Cycle Sequencing Kit (Life Technologies). PCR products were cleaned with SigmaSpin Sequencing Reaction Clean-Up Columns (Sigma-Aldrich) before being run on a 3130xl Genetic Analyzer. FASTA files of the obtained sequences were aligned with MultAlin [34] to detect nucleotide polymorphisms. Additionally, part of the sodium dehydrogenase subunit 4 (nad4) gene of the mitochondrial DNA of the sampled specimens was sequenced using a modification of the protocol of Fonseca et al. [32]. The primers used, ND4F (5′-CGTAGGAGGAGCAGCTATATT-3′) and ND4R1X (5′-TGATTGCCTAAGGCTCATGT-3′) [33], amplify a 424 bp fragment between positions 8398 and 8821 in the Anopheles gambiae genomic sequence (GenBank accession no. L20934). DNA amplification was preceded by a 10 min denaturation step at 96°C and consisted of 35 cycles of 40 s at 94°C, 40 s at 56°C and 60 s at 72°C. A final extension step of 7 min at 72°C was added. PCR products were checked by electrophoresis on a 1.5% agarose gel run for one hour and visualised by ethidium-bromide staining. DNA bands were excised and recovered with the QIAamp Gel Extraction Kit (Qiagen). Afterwards, they were cycle-sequenced in both directions with the BigDye Terminator v1.1 Cycle Sequencing Kit (Life Technologies). PCR products were cleaned with SigmaSpin Sequencing Reaction Clean-Up Columns (Sigma-Aldrich) before being run on a 3130xl Genetic Analyzer. FASTA files of the obtained sequences were aligned with MultAlin [34] to detect nucleotide polymorphisms. Statistical analysis Microsatellite signatures were subjected to Bayesian cluster analysis of multilocus microsatellite genotypes implemented in the software STRUCTURE 2.0 [35]. Following the method of Evanno [36], the optimal number of clusters was determined using the web-based software STRUCTURE HARVESTER [37]. Nei’s genetic distance and pairwise population FST values were calculated with GenAlEx to perform a principal coordinate analysis (PCoA) [38]. Furthermore, departures from the Hardy-Weinberg equilibrium were examined. Shannon’s information index (I), the mean number of alleles and the observed and unbiased expected heterozygosity were identified using GenAlEx [39]. Shannon’s information index which is used to calculate genetic diversity is a quantity that shows the frequency of each allele in addition to the total number of alleles [39,40]. The higher the Shannon’s information index, the higher the population diversity. As the Shannon’s information index is frequency-based, it is not applicable to single individuals. Microsatellite signatures were subjected to Bayesian cluster analysis of multilocus microsatellite genotypes implemented in the software STRUCTURE 2.0 [35]. Following the method of Evanno [36], the optimal number of clusters was determined using the web-based software STRUCTURE HARVESTER [37]. Nei’s genetic distance and pairwise population FST values were calculated with GenAlEx to perform a principal coordinate analysis (PCoA) [38]. Furthermore, departures from the Hardy-Weinberg equilibrium were examined. Shannon’s information index (I), the mean number of alleles and the observed and unbiased expected heterozygosity were identified using GenAlEx [39]. Shannon’s information index which is used to calculate genetic diversity is a quantity that shows the frequency of each allele in addition to the total number of alleles [39,40]. The higher the Shannon’s information index, the higher the population diversity. As the Shannon’s information index is frequency-based, it is not applicable to single individuals. Mosquitoes: Mosquito larvae and eggs were collected between May and October 2013 from flower vases and other small artificial water containers and from ovitraps in cemeteries and gardens [28]. Individuals central to the study were collected from two sites, about 60 km apart, in the North German federal state of Lower Saxony (NG) and from six sites within the municipality of Lelystad, The Netherlands. In addition, specimens from two towns in the South German federal state of Baden-Wurttemberg (SG) and from 18 sites in Slovenia as well as two individuals from two close collection sites in Croatia were examined (for details see Table 1 and Figure 1). For comparison, previously analysed specimens from West Germany (WG), Belgium and Switzerland [29] were included.Table 1 Origin of Ae. j. japonicus specimens included in the study Country Federal state/province/region Location No. of mosquitoes analysed I Microsatellites nad 4 GermanyBaden-Wurttemberg (SG)Korntal (1)39221.26Waldshut-Tiengen (2)41261.21Lower Saxony (NG)Bad Eilsen (3)20201.1Sarstedt (4)12101.15The NetherlandsFlevolandLelystad (5)43371.06SloveniaPomurska(6)Ljutomer520.67Podravska (7)Selnica ob Dravi541.16Pesnica pri Mariboru20Sentilj52Lovrenc na Dravskem Polju21Ptuj32Makole55Ormoz22Koroska (8)Lovrenc na Pohorju541.12Ribnica na Pohorju22Muta33Slovenj Gradec54Savinjska (9)Rogatec211.23Smarje pri Jelsah20Bistrica ob Sotli54Osrednjeslovenska (10)Ig310.74Grosuplje22Ivancna Gorica10CroatiaKrapina-Zagorje (11)Djurmanec10n. a.Macelj00Out of a total of 215 individuals subjected to microsatellite analysis, 154 produced analysable nad4 sequence data. Numbers in parentheses refer to the geographic location of the collection sites as shown in Figure 1. NG = North Germany, SG = South Germany, I = Shannon’s information index, n. a. = not applicable.Figure 1 Geographic distribution of Ae. j. japonicus sampling locations (yellow dots). Numbers of locations refer to Table 1. Origin of Ae. j. japonicus specimens included in the study Out of a total of 215 individuals subjected to microsatellite analysis, 154 produced analysable nad4 sequence data. Numbers in parentheses refer to the geographic location of the collection sites as shown in Figure 1. NG = North Germany, SG = South Germany, I = Shannon’s information index, n. a. = not applicable. Geographic distribution of Ae. j. japonicus sampling locations (yellow dots). Numbers of locations refer to Table 1. Larvae from NG and SG were sampled in cemeteries, taken to the laboratory in their original water and reared to adults. These were killed by exposing them to -20°C for at least 1 h, identified morphologically to species level according to the key by Schaffner et al. [30] and kept frozen at -20°C until molecular examination. Dutch individuals were collected from rain water barrels and buckets in allotment gardens and from a flower vase in a cemetery. They were placed as larvae into 80% ethanol immediately after collection in the field and were also identified using the key by Schaffner et al. [30]. Slovenian specimens were also collected as larvae from cemeteries and gardens and preserved in 80% ethanol. Identification was made using the key in the ECDC’s guidelines for the surveillance of invasive mosquitoes in Europe [28]. The specimens from Croatia were reared to adults from eggs found in cemeteries and were determined to species using the key by Gutsevich et al. [31]. DNA extraction: DNA extraction was performed on complete adult mosquitoes or larvae using the QIAamp DNA Mini Kit (Qiagen) according to the manufacturer’s instructions. In the case of the Croatian individuals, DNA was extracted from single legs using the same kit. DNA was eluted in 80 μl EB buffer (Qiagen) and kept frozen until use. Microsatellite analysis: PCR amplification was performed in a C1000™ 96 well thermal cycler (BioRad). The thermoprofile consisted of a 3 min denaturation step at 94°C, followed by 30 cycles of 30 s at 94°C, 30 s at 56°C and 30 s at 72°C, and a final 10 min elongation step at 72°C. For each of the seven targeted microsatellite loci (OJ5, OJ10, OJ70, OJ85, OJ100, OJ187 and OJ338) one pair of primers was used as previously described [32]. Only the forward primer for locus OJ5 was redesigned [33]. PCR products were sized in a 3130xl Genetic Analyzer (Applied Biosystems/Hitachi), and the obtained fragment length analysis data were visualised and verified with GeneMapper 3.7 (Applied Biosystems). Because frequency-based microsatellite analysis requires a minimum population size that was not given for every sampling site in Slovenia, individuals from there were assigned to five groups according to the geographic regions where they were sampled. nad4 sequencing: Additionally, part of the sodium dehydrogenase subunit 4 (nad4) gene of the mitochondrial DNA of the sampled specimens was sequenced using a modification of the protocol of Fonseca et al. [32]. The primers used, ND4F (5′-CGTAGGAGGAGCAGCTATATT-3′) and ND4R1X (5′-TGATTGCCTAAGGCTCATGT-3′) [33], amplify a 424 bp fragment between positions 8398 and 8821 in the Anopheles gambiae genomic sequence (GenBank accession no. L20934). DNA amplification was preceded by a 10 min denaturation step at 96°C and consisted of 35 cycles of 40 s at 94°C, 40 s at 56°C and 60 s at 72°C. A final extension step of 7 min at 72°C was added. PCR products were checked by electrophoresis on a 1.5% agarose gel run for one hour and visualised by ethidium-bromide staining. DNA bands were excised and recovered with the QIAamp Gel Extraction Kit (Qiagen). Afterwards, they were cycle-sequenced in both directions with the BigDye Terminator v1.1 Cycle Sequencing Kit (Life Technologies). PCR products were cleaned with SigmaSpin Sequencing Reaction Clean-Up Columns (Sigma-Aldrich) before being run on a 3130xl Genetic Analyzer. FASTA files of the obtained sequences were aligned with MultAlin [34] to detect nucleotide polymorphisms. Statistical analysis: Microsatellite signatures were subjected to Bayesian cluster analysis of multilocus microsatellite genotypes implemented in the software STRUCTURE 2.0 [35]. Following the method of Evanno [36], the optimal number of clusters was determined using the web-based software STRUCTURE HARVESTER [37]. Nei’s genetic distance and pairwise population FST values were calculated with GenAlEx to perform a principal coordinate analysis (PCoA) [38]. Furthermore, departures from the Hardy-Weinberg equilibrium were examined. Shannon’s information index (I), the mean number of alleles and the observed and unbiased expected heterozygosity were identified using GenAlEx [39]. Shannon’s information index which is used to calculate genetic diversity is a quantity that shows the frequency of each allele in addition to the total number of alleles [39,40]. The higher the Shannon’s information index, the higher the population diversity. As the Shannon’s information index is frequency-based, it is not applicable to single individuals. Results: Microsatellites of a total of 215 Ae. j. japonicus specimens from the Dutch, German and Slovenian/Croatian populations were analysed. In some cases, previously obtained data from West German, Swiss and Belgian samples [29] were included in the analyses for comparative purposes. The obtained microsatellite signatures enabled the examined specimens to be assigned to one of two genotypes described for Germany (Figure 2). The NG population displayed exactly the same genotype 2 as the individuals from WG that had been previously analysed [29]. All other European populations were to be assigned to genotype 1, although the Dutch population showed clear signs of admixture. Only one of the two Croatian individuals available provided analysable microsatellite data. For the statistical analyses, this individual was added to the geographically closest Slovenian region of Podravska. It showed a probability of more than 95% to belong to genotype 1.Figure 2 Results of Bayesian cluster analysis showing the two Ae. j. japonicus genotypes in Europe (yellow = genotype 1, blue = genotype 2). As the Slovenian and Croatian samples are considered to belong to one and the same population, the Croatian specimen has been added to the samples from Podravska (Slovenia) for the purpose of this presentation. WG, Swiss and Belgian individuals had previously been analysed [29] but are included for comparison. Results of Bayesian cluster analysis showing the two Ae. j. japonicus genotypes in Europe (yellow = genotype 1, blue = genotype 2). As the Slovenian and Croatian samples are considered to belong to one and the same population, the Croatian specimen has been added to the samples from Podravska (Slovenia) for the purpose of this presentation. WG, Swiss and Belgian individuals had previously been analysed [29] but are included for comparison. A Hardy-Weinberg equilibrium check showed significant deviations at most microsatellite loci of specimens from the two SG sites, Korntal and Waldshut-Tiengen. A few more departures from the Hardy-Weinberg equilibrium, mostly at loci OJ5, OJ10 and OJ187, were found across all populations. A closer inspection of these did not produce considerable effects of null alleles [41]. Deviations were due both to higher than expected and to lower than expected heterozygosity. Of the 215 genotyped individuals, 154 examined for their nad4 gene sequence provided analysable results. Nine different nad4 haplotypes were obtained: H1, H3, H5, H9, H12, H21, H33, and two haplotypes that have not previously been described (Figure 3). As there are currently 43 nad4 haplotypes known for Ae. j. japonicus (Fonseca, pers. comm.), we suggest naming the newly found haplotypes H44 and H45. Haplotype sequences are available in [27] and GenBank (accession nos. KJ958405, DQ470159, KM610232 and KM610233, with the latter two being the new ones). H21 and H45 occurred exclusively in Korntal (SG) near the city of Stuttgart in the federal state of Baden-Wurttemberg, while the newly discovered NG population only showed haplotypes H1 and H5. In the Dutch municipality of Lelystad, the most frequent haplotype was H12, which is unique in Europe. Displaying four further haplotypes, the Dutch population was the most heterogeneous one. This observation underlines the admixed microsatellite signature of this population. Among the haplotypes found in The Netherlands, H3 (a single individual) was shared with the Korntal (SG) samples, while H9 (five individuals) was a common haplotype in Slovenia. Surprisingly, the samples from the two SG locations did not share any nad4 haplotype, and their microsatellite signatures were different too. The Croatian mosquitoes could not be assigned to a defined haplotype as both specimens were characterised by mitochondrial heteroplasmy, the coexistence of multiple mitochondrial haplotypes in a single organism [42] which is a common phenomenon in Ae. j. japonicus.Figure 3 nad 4 haplotypes found at the different sampling locations. Croatian individuals were excluded due to heteroplasmy. WG, Swiss and Belgian individuals had previously been analysed [29] but are included for comparison. Black = haplotypes described from Europe only, blue = haplotypes also described from the USA, red = haplotypes also described from the USA and Japan. nad 4 haplotypes found at the different sampling locations. Croatian individuals were excluded due to heteroplasmy. WG, Swiss and Belgian individuals had previously been analysed [29] but are included for comparison. Black = haplotypes described from Europe only, blue = haplotypes also described from the USA, red = haplotypes also described from the USA and Japan. A principal coordinate analysis based on pairwise population FST values (Figure 4) suggests that the NG and WG samples are very closely related, but stand separate from the SG/Switzerland population. Although belonging to the same genotype 1, samples from the other populations were admixed and displayed a greater genetic distance. Interestingly, the Dutch samples seem to be closely related to those from Waldshut-Tiengen (SG). These, in turn, are more closely related to the previously examined and geographically closest Swiss individuals than to those from Korntal (SG) which are most similar to the Slovenian/Croatian ones. The previously analysed Belgian population [29] stands far apart from all other populations, underlining its geographic and genetic isolation.Figure 4 Principal coordinate analysis plot of pairwise population F ST values for the European Ae. j. japonicus populations. Previously analysed samples from West Germany, Switzerland and Belgium [29] are included in this plot to clarify the relationships between all European populations. Locations examined in this study are numbered as in Table 1. Yellow diamonds = genotype 1, blue diamonds = genotype 2. Samples from the same geographically distinct populations are encircled in blue. The diamond representing location 4, which belongs to the NG population, covers another diamond belonging to the WG population. Principal coordinate analysis plot of pairwise population F ST values for the European Ae. j. japonicus populations. Previously analysed samples from West Germany, Switzerland and Belgium [29] are included in this plot to clarify the relationships between all European populations. Locations examined in this study are numbered as in Table 1. Yellow diamonds = genotype 1, blue diamonds = genotype 2. Samples from the same geographically distinct populations are encircled in blue. The diamond representing location 4, which belongs to the NG population, covers another diamond belonging to the WG population. Discussion: A previous study focussing on the West German Ae. j. japonicus population established the existence of two distinct but mixed genetic strains of this species in Europe [29]. During that study, mosquito samples from the most recently discovered geographic populations in The Netherlands and northern Germany were not yet available. In addition, only a few specimens from the Slovenian population were included. In the present study, representative numbers of all European populations not previously analysed were considered and, based on Bayesian cluster analysis of their microsatellite data, could be clearly assigned to one of the two genetic strains previously identified in Europe. The results of Zielke et al. [29] led to the conclusion that the Asian bush mosquito was introduced into Europe on at least two occasions. Samples from the Belgian population [11] show a genotype 1 genetic signature, equal to most of the individuals from the SG and Slovenian/Croatian populations. By contrast, the population detected in western Germany in 2012 appears to be the result of a second introduction of Ae. j. japonicus into Europe [29]. Due to microsatellite signatures identical to those of samples from WG, the NG population must be supposed to be an offshoot of the WG population. In summary, the microsatellite analysis (Figures 2 and 4) mirrors the geographic separation of the various European populations. The mitochondrial haplotypes H1 and H5 found in North Germany are also common in the previously described WG population and support a close genetic relationship. H1 is a common haplotype which can be found in most Ae. j. japonicus populations all over the world. Haplotype H5 is also common on the northern Japanese island of Hokkaido [27] but was very rarely found in the USA, suggesting that genotype 2 German Ae. j. japonicus might have been introduced from Japan. As adults or larvae, individuals could then have been transported by vehicles along the motorways between the German federal states. This assumption is supported by the fact that the initial findings of Ae. j. japonicus in northern Germany were concentrated in cemeteries of towns close to a motorway running northwards from West Germany [17]. An active migration of the species from West to North Germany can be excluded because the two populations are geographically separated. Samples from South Germany differ significantly from each other in their genetic makeup although forming one geographic population. Individuals from Waldshut-Tiengen (SG) are apparently more closely related to the Swiss samples of the same geographic population than to the Korntal (SG) samples, as only the first two of them show haplotype H33. This haplotype has not been reported from the USA, and in Europe has so far only been found in Swiss specimens [29]. This suggests an introduction of at least a few individuals from Asia. By contrast, individuals from Korntal (SG) are characterised by haplotypes H3, H21 and H45. The latter two haplotypes have been found exclusively in the Korntal (SG) samples. This might indicate a separate introduction of mosquitoes into this area. H3 was first detected in individuals from the southern Japanese islands of Honshu and Kyushu [27] whereas H21 was previously found in some Pennsylvanian individuals [32]. Furthermore, the Korntal (SG) samples show a very clear microsatellite signature of genotype 1 with almost no admixture of genotype 2 (Figure 2). To date, Lelystad in The Netherlands is considered to be the northernmost location infested by Ae. j. japonicus in Europe. The Dutch population shows an admixed microsatellite signature as displayed by Bayesian cluster analysis. Its genetic makeup looks like a mixture between Slovenian/SG and WG/NG individuals, which is supported by PCoA, suggesting that at least two introductions of mosquitoes into The Netherlands have taken place. However, the fact that the Dutch population shows a relatively large number of five nad4 haplotypes including one novel haplotype suggests a different conclusion: a large number of individuals with high genetic diversity could have been introduced recently from overseas. The genetic diversity may in this case be a measure of the time that has passed since the introduction. With time passing, founder populations normally experience a loss of genetic diversity, known as the founder effect [43]. If present, it should be possible to see this effect in future analyses of the Dutch Ae. j. japonicus population. Haplotypes H9 and H12, which account for 42% of the Dutch individuals, are the only haplotypes described by Fonseca et al. [27] for populations in Pennsylvania and Maryland. Of the 18 Slovenian sampling localities examined, seven were located close to the Austrian border, eight close to the Croatian border and three in the centre of the country (cf. Figure 1). According to the Bayesian cluster analysis, all Slovenian/Croatian individuals show the same microsatellite signature of genotype 1 with only a little admixture of genotype 2 (Figure 2). Because the species is not yet widely distributed in Croatia, only two individuals were available. As with some specimens from other locations, these unfortunately could not be analysed due to their being heteroplasmic. Together with the Dutch samples, the Slovenian samples were the only ones in Europe to show nad4 haplotype H9. Additionally, some Slovenian individuals displayed haplotype H5, which is widely distributed in the NG and WG populations, indicating a possible link between these two and the Slovenian population. In summary, the genetic information is not sufficient to decide whether the European Ae. j. japonicus have been introduced from the USA or from Japan, or from both countries. As the worldwide expansion of the species started almost two decades ago, exact source determination is becoming more and more difficult. Mitochondrial haplotypes are widespread, and in many cases it is impossible to say whether the species has found its way to Europe from Japan or from the USA. In spite of this, all known Ae. j. japonicus populations in Europe must be assumed to have reached their infestation areas through human-mediated transport. Their apparent geographic separation does not permit any other conclusion. Individuals reach new regions passively and initially may manage to establish a relatively small population, depending on the number of founder individuals. When such populations merge, they can increase their genetic diversity and, accordingly, their adaptability. It is the mixed populations with high genetic diversity that are adaptable and likely to establish [44]. So far, six populations of Ae. j. japonicus have been found in Europe. Their genetic makeup shows a mixture of two genotypes, and most of the populations are expanding. The exception is the Belgian population, which seems to be very inbred and has a low genetic diversity [29]. At the same time, this population is the only one that has not expanded the area of infestation over the years since its introduction [45]. Conclusions: Regarding intercontinental trade and travel as well as the transport of mosquitoes and pathogens between countries, it is to be expected that further populations of Ae. j. japonicus will appear in Europe and that the risk of pathogen transmission will increase. Aedes j. japonicus is known to feed on both birds and mammals, and bloodmeal analyses have shown that a high percentage (up to 60 %) of the identified blood sources were human [45]. Whilst Ae. j. japonicus has not attracted attention as an important vector in its native distribution area in East Asia, it was susceptible to several arboviruses in the laboratory, including WNV. A new study claims that German Ae. j. japonicus are refractory to WNV [46]. However, all the mosquitoes tested originated from a limited area in southern Germany, suggesting that a restricted and relatively homogeneous gene pool was included in the study. Other populations or subpopulations may very well be able to transmit WNV [19,47] or other pathogenic viruses. There is consent that the eradication of Ae. j. japonicus from Europe is no longer possible, but efforts should be made to eliminate sources of introduction and to prevent the present populations from spreading further.
Background: Originally native to East Asia, Aedes japonicus japonicus, a potential vector of several arboviruses, has become one of the most invasive mosquito species in the world. After having established in the USA, it is now spreading in Europe, with new populations emerging. In contrast to the USA, the introduction pathways and modes of dispersal in Europe are largely obscure. Methods: To find out if two recently detected populations of Ae. j. japonicus in The Netherlands and northern Germany go back to new importations or to movements within Europe, the genetic makeup of mosquito specimens from all known European populations was compared. For this purpose, seven microsatellite loci from a representative number of mosquito specimens were genotyped and part of their mitochondrial nad4 gene sequenced. Results: A novel nad4 haplotype found in the newly discovered Dutch population of Ae. j. japonicus suggests that this population is not closely related to the other European populations but has emanated from a further introduction event. With five nad4 haplotypes, the Dutch population also shows a very high genetic diversity indicating that either the founder population was very large or multiple introductions took place. By contrast, the recently detected North German population could be clearly assigned to one of the two previously determined European Ae. j. japonicus microsatellite genotypes and shows nad4 haplotypes that are known from West Germany. Conclusions: As the European populations of Ae. j. japonicus are geographically separated but genetically mixed, their establishment must be attributed to passive transportation. In addition to intercontinental shipment, it can be assumed that human activities are also responsible for medium- and short-distance overland spread. A better understanding of the processes underlying the introduction and spread of this invasive species will help to increase public awareness of the human-mediated displacement of mosquitoes and to find strategies to avoid it.
Background: The Asian bush mosquito Aedes (Finlaya) japonicus japonicus (Theobald, 1901) (Hulecoeteomyia japonica japonica sensu Reinert et al. [1]) is one of the most expansive mosquito species in the world [2]. After repeated interceptions in New Zealand in the early 1990s [3], the first established populations outside the original distribution range were detected in the eastern USA [4,5]. From three states that had initially been invaded, it spread in only a few years into 30 further states, including Hawaii [6-8]. Today, the species is also present in Canada [9]. In Europe, larvae of Ae. j. japonicus were first detected in the year 2000 in a used tyre trade company in France, but were eradicated [10]. In 2002, the mosquito was found in Belgium, again in the context of a used tyre platform. The species was still present in 2003 and 2004 and was found during a national mosquito monitoring programme in 2007 and 2008, when a second company trading with used tyres was affected in the same Belgian town [11]. As Ae. j. japonicus was never caught more than 2 km away from these two locations, it was concluded that the population was not expanding. Also in 2008, larvae of Ae. j. japonicus were discovered in northern Switzerland and in several places on the German side of the Swiss-German border [12]. A monitoring programme carried out in 2009 and 2010 in the German federal state of Baden-Wurttemberg showed that the Asian bush mosquito had already infested a large area along the border with Switzerland [13]. Another study from 2010 detected its presence near the city of Stuttgart, approximately 80 km north of what had been assumed to be the northern distribution limit of the species [14]. Several findings of Ae. j. japonicus individuals made in 2011 at various places in Baden-Wurttemberg (Werner & Kampen, unpublished) indicated a much greater distribution area at that time. In the same year, a population was found widely distributed on both sides of the Austrian-Slovenian border [15]. By 2013, this population had expanded over the entire country of Slovenia, even reaching northern Croatia (Kalan, Merdić, unpublished). Since its first detection in Baden-Wurttemberg in 2008, Ae. j. japonicus seems to have been spreading continuously across Germany. Populations have been shown to exist in the federal states of North Rhine-Westphalia and Rhineland-Palatinate [16] and, more recently, as far north as in Lower Saxony [17]. In January 2013, Dutch researchers detected a single Ae. j. japonicus female already trapped in July 2012 during routine monitoring in the municipality of Lelystad (province of Flevoland). Extensive surveillance from April to October 2013 in the surroundings of the first finding identified numerous breeding sites over large parts of the municipality [18]. The first finding was about 7 km from a tyre trading company, but no individuals could be found on the company’s premises. Of the six Ae. j. japonicus populations detected in Europe, only the Belgian one is known to be due to an importation in used tyres. For the other five populations there is no information on their mode of introduction nor on their origin or relatedness. Aedes j. japonicus is a potential vector of several arboviruses including West Nile virus (WNV) and Japanese encephalitis virus [19,20]. In the USA, it has been found infected with WNV in the field [21]. In addition, the species is able to transmit La Crosse encephalitis, St. Louis encephalitis, eastern equine encephalitis and Rift Valley fever viruses under laboratory conditions [22-24] and is susceptible to infection with chikungunya and dengue viruses [25]. Its spread and behaviour therefore merit close observation. The objective of the present study was (i) to learn more about the relationships between the various European populations of Ae. j. japonicus and, in particular, (ii) to assign the newly discovered populations in Lelystad, The Netherlands, and in Lower Saxony, Germany, to already known genotypes, in order to detect genetic proofs for introduction or migration events. For this purpose we analysed highly polymorphic simple sequence repeats (microsatellites) and maternally inherited, rapidly evolving mitochondrial nad4 sequences which are characterised by variable numbers of repeats or nucleotide sequences, making them appropriate targets for population genetics and the identification of source populations [26,27]. Conclusions: Regarding intercontinental trade and travel as well as the transport of mosquitoes and pathogens between countries, it is to be expected that further populations of Ae. j. japonicus will appear in Europe and that the risk of pathogen transmission will increase. Aedes j. japonicus is known to feed on both birds and mammals, and bloodmeal analyses have shown that a high percentage (up to 60 %) of the identified blood sources were human [45]. Whilst Ae. j. japonicus has not attracted attention as an important vector in its native distribution area in East Asia, it was susceptible to several arboviruses in the laboratory, including WNV. A new study claims that German Ae. j. japonicus are refractory to WNV [46]. However, all the mosquitoes tested originated from a limited area in southern Germany, suggesting that a restricted and relatively homogeneous gene pool was included in the study. Other populations or subpopulations may very well be able to transmit WNV [19,47] or other pathogenic viruses. There is consent that the eradication of Ae. j. japonicus from Europe is no longer possible, but efforts should be made to eliminate sources of introduction and to prevent the present populations from spreading further.
Background: Originally native to East Asia, Aedes japonicus japonicus, a potential vector of several arboviruses, has become one of the most invasive mosquito species in the world. After having established in the USA, it is now spreading in Europe, with new populations emerging. In contrast to the USA, the introduction pathways and modes of dispersal in Europe are largely obscure. Methods: To find out if two recently detected populations of Ae. j. japonicus in The Netherlands and northern Germany go back to new importations or to movements within Europe, the genetic makeup of mosquito specimens from all known European populations was compared. For this purpose, seven microsatellite loci from a representative number of mosquito specimens were genotyped and part of their mitochondrial nad4 gene sequenced. Results: A novel nad4 haplotype found in the newly discovered Dutch population of Ae. j. japonicus suggests that this population is not closely related to the other European populations but has emanated from a further introduction event. With five nad4 haplotypes, the Dutch population also shows a very high genetic diversity indicating that either the founder population was very large or multiple introductions took place. By contrast, the recently detected North German population could be clearly assigned to one of the two previously determined European Ae. j. japonicus microsatellite genotypes and shows nad4 haplotypes that are known from West Germany. Conclusions: As the European populations of Ae. j. japonicus are geographically separated but genetically mixed, their establishment must be attributed to passive transportation. In addition to intercontinental shipment, it can be assumed that human activities are also responsible for medium- and short-distance overland spread. A better understanding of the processes underlying the introduction and spread of this invasive species will help to increase public awareness of the human-mediated displacement of mosquitoes and to find strategies to avoid it.
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[ 624, 62, 193, 241, 183 ]
10
[ "individuals", "population", "japonicus", "ae japonicus", "ae", "populations", "analysis", "microsatellite", "sg", "genetic" ]
[ "mosquito introduced europe", "mosquito found belgium", "mosquito species world", "location mosquitoes analysed", "surveillance invasive mosquitoes" ]
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[CONTENT] Aedes japonicus japonicus | Asian bush mosquito | Europe | Microsatellites | Population genetics | nad4 haplotypes [SUMMARY]
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[CONTENT] Aedes japonicus japonicus | Asian bush mosquito | Europe | Microsatellites | Population genetics | nad4 haplotypes [SUMMARY]
[CONTENT] Aedes japonicus japonicus | Asian bush mosquito | Europe | Microsatellites | Population genetics | nad4 haplotypes [SUMMARY]
[CONTENT] Aedes japonicus japonicus | Asian bush mosquito | Europe | Microsatellites | Population genetics | nad4 haplotypes [SUMMARY]
[CONTENT] Aedes japonicus japonicus | Asian bush mosquito | Europe | Microsatellites | Population genetics | nad4 haplotypes [SUMMARY]
[CONTENT] Aedes | Animal Distribution | Animals | Base Sequence | DNA Primers | DNA, Mitochondrial | Genotype | Germany | Haplotypes | Introduced Species | Microsatellite Repeats | Molecular Sequence Data | Netherlands | Principal Component Analysis | Sequence Analysis, DNA | Species Specificity [SUMMARY]
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[CONTENT] Aedes | Animal Distribution | Animals | Base Sequence | DNA Primers | DNA, Mitochondrial | Genotype | Germany | Haplotypes | Introduced Species | Microsatellite Repeats | Molecular Sequence Data | Netherlands | Principal Component Analysis | Sequence Analysis, DNA | Species Specificity [SUMMARY]
[CONTENT] Aedes | Animal Distribution | Animals | Base Sequence | DNA Primers | DNA, Mitochondrial | Genotype | Germany | Haplotypes | Introduced Species | Microsatellite Repeats | Molecular Sequence Data | Netherlands | Principal Component Analysis | Sequence Analysis, DNA | Species Specificity [SUMMARY]
[CONTENT] Aedes | Animal Distribution | Animals | Base Sequence | DNA Primers | DNA, Mitochondrial | Genotype | Germany | Haplotypes | Introduced Species | Microsatellite Repeats | Molecular Sequence Data | Netherlands | Principal Component Analysis | Sequence Analysis, DNA | Species Specificity [SUMMARY]
[CONTENT] Aedes | Animal Distribution | Animals | Base Sequence | DNA Primers | DNA, Mitochondrial | Genotype | Germany | Haplotypes | Introduced Species | Microsatellite Repeats | Molecular Sequence Data | Netherlands | Principal Component Analysis | Sequence Analysis, DNA | Species Specificity [SUMMARY]
[CONTENT] mosquito introduced europe | mosquito found belgium | mosquito species world | location mosquitoes analysed | surveillance invasive mosquitoes [SUMMARY]
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[CONTENT] mosquito introduced europe | mosquito found belgium | mosquito species world | location mosquitoes analysed | surveillance invasive mosquitoes [SUMMARY]
[CONTENT] mosquito introduced europe | mosquito found belgium | mosquito species world | location mosquitoes analysed | surveillance invasive mosquitoes [SUMMARY]
[CONTENT] mosquito introduced europe | mosquito found belgium | mosquito species world | location mosquitoes analysed | surveillance invasive mosquitoes [SUMMARY]
[CONTENT] mosquito introduced europe | mosquito found belgium | mosquito species world | location mosquitoes analysed | surveillance invasive mosquitoes [SUMMARY]
[CONTENT] individuals | population | japonicus | ae japonicus | ae | populations | analysis | microsatellite | sg | genetic [SUMMARY]
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[CONTENT] individuals | population | japonicus | ae japonicus | ae | populations | analysis | microsatellite | sg | genetic [SUMMARY]
[CONTENT] individuals | population | japonicus | ae japonicus | ae | populations | analysis | microsatellite | sg | genetic [SUMMARY]
[CONTENT] individuals | population | japonicus | ae japonicus | ae | populations | analysis | microsatellite | sg | genetic [SUMMARY]
[CONTENT] individuals | population | japonicus | ae japonicus | ae | populations | analysis | microsatellite | sg | genetic [SUMMARY]
[CONTENT] japonicus | populations | ae japonicus | ae | detected | company | encephalitis | species | mosquito | monitoring [SUMMARY]
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[CONTENT] haplotypes | samples | genotype | population | blue | populations | croatian | previously | 29 | analysed [SUMMARY]
[CONTENT] japonicus | wnv | ae | ae japonicus | sources | populations | area | mosquitoes | study | europe [SUMMARY]
[CONTENT] japonicus | dna | populations | ae | ae japonicus | population | individuals | samples | microsatellite | haplotypes [SUMMARY]
[CONTENT] japonicus | dna | populations | ae | ae japonicus | population | individuals | samples | microsatellite | haplotypes [SUMMARY]
[CONTENT] East Asia | mosquito ||| USA | Europe ||| USA | Europe [SUMMARY]
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[CONTENT] nad4 | Dutch | j. japonicus ||| European ||| five | nad4 | Dutch ||| North German | one | two | European | j. japonicus microsatellite | nad4 | West Germany [SUMMARY]
[CONTENT] European | j. japonicus ||| ||| [SUMMARY]
[CONTENT] East Asia | mosquito ||| USA | Europe ||| USA | Europe ||| two | j. japonicus | Netherlands | Germany | Europe | European ||| seven | microsatellite loci | nad4 ||| ||| nad4 | Dutch | j. japonicus ||| European ||| five | nad4 | Dutch ||| North German | one | two | European | j. japonicus microsatellite | nad4 | West Germany ||| European | j. japonicus ||| ||| [SUMMARY]
[CONTENT] East Asia | mosquito ||| USA | Europe ||| USA | Europe ||| two | j. japonicus | Netherlands | Germany | Europe | European ||| seven | microsatellite loci | nad4 ||| ||| nad4 | Dutch | j. japonicus ||| European ||| five | nad4 | Dutch ||| North German | one | two | European | j. japonicus microsatellite | nad4 | West Germany ||| European | j. japonicus ||| ||| [SUMMARY]
Midterm results of left atrial bipolar radiofrequency ablation combined with a mitral valve procedure in persistent atrial fibrillation.
20532451
The aim of the study was to assess the midterm results of left atrial bipolar radiofrequency ablation combined with a mitral valve procedure in patients with mitral valve disease and persistent atrial fibrillation.
INTRODUCTION
Between October 2006 and July 2009, 95 patients with mitral valve disease and persistent atrial fibrillation underwent a mitral valve procedure and left atrial bipolar radiofrequency ablation. The postoperative data of the combined procedure were collected at the time of discharge and at one, three, six and 12 months after the operation.
METHODS
Hospital mortality rate was 6.3% (six patients). Normal sinus rhythm was achieved in 77.2% of patients during the early postoperative period in hospital, and in 73.3, 72.0 and 75% of patients at three, six and 12 months postoperatively, respectively. Patients were followed up for a mean duration of 14.02 + or - 5.71 months (range: 6-19 months). During this midterm follow-up period, nine patients had late recurrence of atrial fibrillation. No risk factor was identified for late recurrence of atrial fibrillation.
RESULTS
Our midterm follow-up results suggest that the addition of left atrial bipolar radiofrequency ablation to mitral valve surgery is an effective and safe procedure to restore sinus rhythm in patients with chronic atrial fibrillation.
CONCLUSION
[ "Adult", "Aged", "Atrial Fibrillation", "Cardiac Surgical Procedures", "Cardiopulmonary Bypass", "Catheter Ablation", "Chi-Square Distribution", "Chronic Disease", "Female", "Heart Valve Diseases", "Heart Valve Prosthesis Implantation", "Hospital Mortality", "Humans", "Male", "Middle Aged", "Mitral Valve", "Recurrence", "Risk Assessment", "Risk Factors", "Time Factors", "Treatment Outcome", "Turkey", "Young Adult" ]
3721274
null
null
Methods
The study included a total of 95 patients (27 male: 27.8%, 68 female: 72.2%; age range: 20–77 years) who underwent a left atrial radiofrequency ablation procedure combined with mitral valve surgery between October 2006 and July 2009. The procedure was performed in all patients with persistent atrial fibrillation (lasting at least six months) plus mitral valve disease, except for AF cases with slow ventricular response. Standard 12-lead electrocardiography, Holter ECG, transthoracic echocardiography, left and right heart catheterisation and coronary angiography were performed before surgery in patients over 40 years old. Besides symptoms secondary to valve disease, palpitations were present in 70.8% of patients. Sixty-three patients had isolated mitral valve disease. In addition to mitral valve disease, 14 had coronary artery disease, 14 had aortic valve disease, and four had coronary artery disease plus aortic valve disease. Tricuspid valve disease was also present in 31 (33%) of the 95 cases. The aetiology of mitral valve disease was rheumatic fever in 73.8% of the patients. Pre-operative data are summarised in Table 1. NYHA: New York Heart Association; MVR: mitral valve replacement; AVR: aortic valve replacement; CABG: coronary artery bypass grafting.
Results
Hospital mortality was 6.3% (six patients): five due to low cardiac output and one due to pulmonary complications. No morbidity related to the ablation procedure itself was observed. Seven patients had pulmonary complications (7.6%) and nine (10.1%) stayed in the intensive care unit for more than 48 hours. Mean durations of intubation and hospitalisation were 12.27 ± 4.78 hours and 8.7 ± 5.83 days, respectively. No neurological event was observed. On arrival in the intensive care unit after the operation, 74 patients (77.9%) were in normal sinus rhythm, 15 (15.8 %) were in AF, and six (6.3%) were in AV block. Among the six patients who died in hospital, two of them were in sinus rhythm, two in complete AV block and two in AF. Among the remaining four patients with complete AV block on arrival in the intensive care unit, one developed AF and three resumed normal sinus rhythm. Sixteen of the patients with normal sinus rhythm on arrival in the intensive care unit relapsed into AF during hospitalisation. Medical treatment with amiodarone and sotalol resumed normal sinus rhythm in five patients, and electromechanical cardioversion resumed normal sinus rhythm in one of these 16 patients. When the 89 surviving patients were discharged, 65 (65/89, 73%) were in normal sinus rhythm and 24 were in AF (24/89, 27%). None of the patients required permanent pacemaker implantation during the follow-up period. Of the 89 patients who were discharged, follow up was performed in all at one month, in 81 at three months, in 76 at six months and in 73 at 12 months post surgery (Fig. 2). Unfortunately, the socio-economic and geographical characteristics of our country prevented 100% follow up of the patients. The course of cardiac rhythm during hospitalisation and follow up. According to the parameters reviewed at six months postoperatively, patients with atrial fibrillation and sinus rhythm did not differ in terms of left atrial diameter, left ventricular enddiastolic and end-systolic diameter, ejection fraction, pulmonary artery pressure and left ventricular end-diastolic pressure. When the subgroup of patients operated for mitral stenosis was examined, patients with AF and sinus rhythm were similar with regard to mitral valve area and maximum gradients (p > 0.05) (Tables 2, 3). NSR: normal sinus rhythm; AF: atrial fibrillation; t: Student’s t-test statistics; χ2: Chi-square statistics; BMI: body mass index. AF: atrial fibrillation; NSR: normal sinus rhythm; t: Student’s t-test; z: Mann-Whitney U-test; LA: left atrial diameter; LVEDD: left ventricular end-diastolic diameter; LVESD: left ventricular end-systolic diameter; EF: ejection fraction; PAP: pulmonary artery pressure; LVEDP: left ventricular end-diastolic pressure; MAXG: maximum gradient at mitral valve; MVA: mitral valve area. *Patients with mitral stenosis. Pre-operative functional capacity, type and aetiology of the mitral valve lesion, presence of coronary artery disease, ablation technique, presence of hypertension or the type of mitral intervention (replacement or repair) did not affect the success of the ablation procedures (Table 4). AF: atrial fibrillation; NSR: normal sinus rhythm; χ2: Chi-square test.
Conclusion
Isolated left atrial radiofrequency ablation effectively treats AF without significantly increasing the duration of cardiopulmonary bypass and without specific complications due to the procedure itself. This procedure demonstrates that AF may be successfully treated by creating a partial lesion, rather than a complete lesion as in the Cox-Maze III procedure.
[ "Summary", "Surgical technique", "Follow up", "Statistical analysis" ]
[ "Atrial fibrillation (AF) is a rapid and irregular activation of the atria so that the normal sinus rhythm disappears. Currently, it is the most frequent form of persistent arrhythmia. Although its incidence ranges from 0.4 to 2% in the general population, this rate is about 10% among individuals over 60 years of age. Atrial fibrillation is particularly common in patients with mitral valve disease (30 to 84%) but is also detected in about 5% of patients with aortic valve and coronary artery disease.1 Although most patients with persistent AF have underlying cardiovascular disease, about 31% do not have cardiovascular disease.2 Atrial fibrillation may cause heart failure, thromboembolic complications, increased treatment costs and impaired quality of life, and it represents a significant risk for mortality even after the underlying cardiovascular disease is treated.3\nMedical treatment has been reported to be unsuccessful in approximately 50 and 84% of patients with permanent AF.4 Therefore various surgical techniques, including left atrial isolation, catheter ablation of the bundle of His, corridor procedure, pulmonary button isolation and the atrial compartment operation have been adapted to treat atrial fibrillation.5 The Cox-Maze III operation, which has become the gold-standard for surgical treatment of atrial fibrillation, with nearly 100% success rates was developed by James Cox and colleagues.6 It involves the cutting and sewing of various parts of both atria in order to block the spread of irregular electrical activity by creating lines of isolation in the atrial musculature. Unfortunately, this method needs experience, since it is complex and time-consuming, and also has a high rate of complications.\nIn recent years, alternative energy sources such as radiofrequency (RF), microwave, laser, bipolar cauterisation and cryoablation have been developed to create isolating lines without cutting the tissue, and thus making ablation easier. Currently, the radiofrequency ablation technique, which was first performed by Sie et al. in 1995,7,8 and cryo-ablation have been the most commonly used methods.\nThe aim of this study was to assess the midterm results of left atrial bipolar radiofrequency ablation combined with a mitral valve procedure in patients with mitral valve disease and persistent atrial fibrillation.", "After performing a median sternotomy, aortic and bicaval venous cannulation was performed. Antegrade blood cardioplegia was used for induction, and continuous retrograde blood cardioplegia via the coronary sinus was used for maintenance for myocardial protection. Mitral valve replacement was performed in 83 patients, mitral valve repair in 12, and coronary artery bypass grafting in 18 (Table 1). Mean duration of cross clamping and perfusion times were 84 ± 34 and 113 ± 37 minutes, respectively. To decrease the risk of intracavitary thrombus formation, a continuous heparin infusion was administered until six hours before surgery.\nFor bipolar left atrial radiofrequency ablation, the Cardioblate® BP2 surgical ablation device (Medtronic model 60831) with serum irrigation was used. Two ablating inserts were mounted on the opposing faces of the jaws of a stainless steel clamp. Each insert was made of two RF electrodes embedded in a polyester covering. The electrodes had a thermocouple mounted on each end. RF current was delivered for 40 to 45 seconds at 35–40 W, with a preset temperature of 90°C. All the ablations were performed on full cardiopulmonary bypass at 32°C.\nThe left atrium was opened following cross clamping. Particular caution was exercised to open a large atriotomy. If mitral valve replacement was to be performed, the mitral valve was removed first and then ablation was done. Firstly, a lesion was created around both right pulmonary veins and the line was joined with a left atriotomy incision, by placing one electrode of the bipolar catheter on the epicardial surface and the other on the endocardial surface of the left atrium. The left pulmonary veins were explored and released, epicardial bipolar ablation was done and both pulmonary veins were isolated as an island. The left atrial appendage (LAA) was resected from outside. Then lesions were created at the lines between (1) the left pulmonary vein lesion and the LAA, and (2) the LAA and the mitral annulus, by placing one electrode of the catheter on the epicardium and the other on the endocardium (Fig. 1). The left atrial appendectomy was sutured from outside following the ablation. Finally, the mitral valvular procedure was performed.\nLines where the ablation procedure was done.", "Oral anticoagulation was administered to all patients for three months. Oral anticoagulants were discontinued on the third month postoperatively if mitral and/or aortic valve replacement was not performed, patients were in normal sinus rhythm, or bi-atrial contraction was present.\nAnti-arrhythmic prophylaxis was carried out on a routine basis. Amiodarone was used as the first drug of choice: an intravenous bolus of 300 mg, followed by a continuous infusion of 1 200 mg/24 hours was routinely administered until the first postoperative day. In the absence of AV block other than first degree or in the absence of unstable SR, oral administration of 200 mg amiodarone three times a day was given until discharge. A maintenance regimen of 200 mg/day was given for three to six months.\nIn cases of contraindications to amiodarone, sotalol or propafenone were given. Sotalol plus amiodarone, or electromechanical cardioversion was performed in patients with relapsing AF during hospitalisation. Monitoring with standard 12-lead electrocardiography, Holter ECG and transthoracic echocardiography was done one, three, six and 12 months after the operation.", "SPSS (Statistical Package for Social Sciences) for Windows version 10.0 was used for the analysis of data. Besides descriptive statistics (mean ± standard deviation), the Student’s t-test and Mann-Whitney U-test were used for the comparison of quantitative data. For the comparison of qualitative data, the Chi-square, Fischer’s Exact Chi-square and Mc Nemar tests were used. Result were evaluated at 95% confidence intervals and at a significance level of p < 0.05." ]
[ null, null, null, null ]
[ "Summary", "Methods", "Surgical technique", "Follow up", "Statistical analysis", "Results", "Discussion", "Conclusion" ]
[ "Atrial fibrillation (AF) is a rapid and irregular activation of the atria so that the normal sinus rhythm disappears. Currently, it is the most frequent form of persistent arrhythmia. Although its incidence ranges from 0.4 to 2% in the general population, this rate is about 10% among individuals over 60 years of age. Atrial fibrillation is particularly common in patients with mitral valve disease (30 to 84%) but is also detected in about 5% of patients with aortic valve and coronary artery disease.1 Although most patients with persistent AF have underlying cardiovascular disease, about 31% do not have cardiovascular disease.2 Atrial fibrillation may cause heart failure, thromboembolic complications, increased treatment costs and impaired quality of life, and it represents a significant risk for mortality even after the underlying cardiovascular disease is treated.3\nMedical treatment has been reported to be unsuccessful in approximately 50 and 84% of patients with permanent AF.4 Therefore various surgical techniques, including left atrial isolation, catheter ablation of the bundle of His, corridor procedure, pulmonary button isolation and the atrial compartment operation have been adapted to treat atrial fibrillation.5 The Cox-Maze III operation, which has become the gold-standard for surgical treatment of atrial fibrillation, with nearly 100% success rates was developed by James Cox and colleagues.6 It involves the cutting and sewing of various parts of both atria in order to block the spread of irregular electrical activity by creating lines of isolation in the atrial musculature. Unfortunately, this method needs experience, since it is complex and time-consuming, and also has a high rate of complications.\nIn recent years, alternative energy sources such as radiofrequency (RF), microwave, laser, bipolar cauterisation and cryoablation have been developed to create isolating lines without cutting the tissue, and thus making ablation easier. Currently, the radiofrequency ablation technique, which was first performed by Sie et al. in 1995,7,8 and cryo-ablation have been the most commonly used methods.\nThe aim of this study was to assess the midterm results of left atrial bipolar radiofrequency ablation combined with a mitral valve procedure in patients with mitral valve disease and persistent atrial fibrillation.", "The study included a total of 95 patients (27 male: 27.8%, 68 female: 72.2%; age range: 20–77 years) who underwent a left atrial radiofrequency ablation procedure combined with mitral valve surgery between October 2006 and July 2009. The procedure was performed in all patients with persistent atrial fibrillation (lasting at least six months) plus mitral valve disease, except for AF cases with slow ventricular response. Standard 12-lead electrocardiography, Holter ECG, transthoracic echocardiography, left and right heart catheterisation and coronary angiography were performed before surgery in patients over 40 years old.\nBesides symptoms secondary to valve disease, palpitations were present in 70.8% of patients. Sixty-three patients had isolated mitral valve disease. In addition to mitral valve disease, 14 had coronary artery disease, 14 had aortic valve disease, and four had coronary artery disease plus aortic valve disease. Tricuspid valve disease was also present in 31 (33%) of the 95 cases. The aetiology of mitral valve disease was rheumatic fever in 73.8% of the patients. Pre-operative data are summarised in Table 1.\nNYHA: New York Heart Association; MVR: mitral valve replacement; AVR: aortic valve replacement; CABG: coronary artery bypass grafting.", "After performing a median sternotomy, aortic and bicaval venous cannulation was performed. Antegrade blood cardioplegia was used for induction, and continuous retrograde blood cardioplegia via the coronary sinus was used for maintenance for myocardial protection. Mitral valve replacement was performed in 83 patients, mitral valve repair in 12, and coronary artery bypass grafting in 18 (Table 1). Mean duration of cross clamping and perfusion times were 84 ± 34 and 113 ± 37 minutes, respectively. To decrease the risk of intracavitary thrombus formation, a continuous heparin infusion was administered until six hours before surgery.\nFor bipolar left atrial radiofrequency ablation, the Cardioblate® BP2 surgical ablation device (Medtronic model 60831) with serum irrigation was used. Two ablating inserts were mounted on the opposing faces of the jaws of a stainless steel clamp. Each insert was made of two RF electrodes embedded in a polyester covering. The electrodes had a thermocouple mounted on each end. RF current was delivered for 40 to 45 seconds at 35–40 W, with a preset temperature of 90°C. All the ablations were performed on full cardiopulmonary bypass at 32°C.\nThe left atrium was opened following cross clamping. Particular caution was exercised to open a large atriotomy. If mitral valve replacement was to be performed, the mitral valve was removed first and then ablation was done. Firstly, a lesion was created around both right pulmonary veins and the line was joined with a left atriotomy incision, by placing one electrode of the bipolar catheter on the epicardial surface and the other on the endocardial surface of the left atrium. The left pulmonary veins were explored and released, epicardial bipolar ablation was done and both pulmonary veins were isolated as an island. The left atrial appendage (LAA) was resected from outside. Then lesions were created at the lines between (1) the left pulmonary vein lesion and the LAA, and (2) the LAA and the mitral annulus, by placing one electrode of the catheter on the epicardium and the other on the endocardium (Fig. 1). The left atrial appendectomy was sutured from outside following the ablation. Finally, the mitral valvular procedure was performed.\nLines where the ablation procedure was done.", "Oral anticoagulation was administered to all patients for three months. Oral anticoagulants were discontinued on the third month postoperatively if mitral and/or aortic valve replacement was not performed, patients were in normal sinus rhythm, or bi-atrial contraction was present.\nAnti-arrhythmic prophylaxis was carried out on a routine basis. Amiodarone was used as the first drug of choice: an intravenous bolus of 300 mg, followed by a continuous infusion of 1 200 mg/24 hours was routinely administered until the first postoperative day. In the absence of AV block other than first degree or in the absence of unstable SR, oral administration of 200 mg amiodarone three times a day was given until discharge. A maintenance regimen of 200 mg/day was given for three to six months.\nIn cases of contraindications to amiodarone, sotalol or propafenone were given. Sotalol plus amiodarone, or electromechanical cardioversion was performed in patients with relapsing AF during hospitalisation. Monitoring with standard 12-lead electrocardiography, Holter ECG and transthoracic echocardiography was done one, three, six and 12 months after the operation.", "SPSS (Statistical Package for Social Sciences) for Windows version 10.0 was used for the analysis of data. Besides descriptive statistics (mean ± standard deviation), the Student’s t-test and Mann-Whitney U-test were used for the comparison of quantitative data. For the comparison of qualitative data, the Chi-square, Fischer’s Exact Chi-square and Mc Nemar tests were used. Result were evaluated at 95% confidence intervals and at a significance level of p < 0.05.", "Hospital mortality was 6.3% (six patients): five due to low cardiac output and one due to pulmonary complications. No morbidity related to the ablation procedure itself was observed. Seven patients had pulmonary complications (7.6%) and nine (10.1%) stayed in the intensive care unit for more than 48 hours. Mean durations of intubation and hospitalisation were 12.27 ± 4.78 hours and 8.7 ± 5.83 days, respectively. No neurological event was observed.\nOn arrival in the intensive care unit after the operation, 74 patients (77.9%) were in normal sinus rhythm, 15 (15.8 %) were in AF, and six (6.3%) were in AV block. Among the six patients who died in hospital, two of them were in sinus rhythm, two in complete AV block and two in AF. Among the remaining four patients with complete AV block on arrival in the intensive care unit, one developed AF and three resumed normal sinus rhythm.\nSixteen of the patients with normal sinus rhythm on arrival in the intensive care unit relapsed into AF during hospitalisation. Medical treatment with amiodarone and sotalol resumed normal sinus rhythm in five patients, and electromechanical cardioversion resumed normal sinus rhythm in one of these 16 patients. When the 89 surviving patients were discharged, 65 (65/89, 73%) were in normal sinus rhythm and 24 were in AF (24/89, 27%).\nNone of the patients required permanent pacemaker implantation during the follow-up period. Of the 89 patients who were discharged, follow up was performed in all at one month, in 81 at three months, in 76 at six months and in 73 at 12 months post surgery (Fig. 2). Unfortunately, the socio-economic and geographical characteristics of our country prevented 100% follow up of the patients.\nThe course of cardiac rhythm during hospitalisation and follow up.\nAccording to the parameters reviewed at six months postoperatively, patients with atrial fibrillation and sinus rhythm did not differ in terms of left atrial diameter, left ventricular enddiastolic and end-systolic diameter, ejection fraction, pulmonary artery pressure and left ventricular end-diastolic pressure. When the subgroup of patients operated for mitral stenosis was examined, patients with AF and sinus rhythm were similar with regard to mitral valve area and maximum gradients (p > 0.05) (Tables 2, 3).\nNSR: normal sinus rhythm; AF: atrial fibrillation; t: Student’s t-test statistics; χ2: Chi-square statistics; BMI: body mass index.\nAF: atrial fibrillation; NSR: normal sinus rhythm; t: Student’s t-test; z: Mann-Whitney U-test; LA: left atrial diameter; LVEDD: left ventricular end-diastolic diameter; LVESD: left ventricular end-systolic diameter; EF: ejection fraction; PAP: pulmonary artery pressure; LVEDP: left ventricular end-diastolic pressure; MAXG: maximum gradient at mitral valve; MVA: mitral valve area. *Patients with mitral stenosis.\nPre-operative functional capacity, type and aetiology of the mitral valve lesion, presence of coronary artery disease, ablation technique, presence of hypertension or the type of mitral intervention (replacement or repair) did not affect the success of the ablation procedures (Table 4).\nAF: atrial fibrillation; NSR: normal sinus rhythm; χ2: Chi-square test.", "Most patients with persistent AF have underlying cardiovascular disease and are candidates for open-heart surgery. These patients are prone to develop thromboembolic complications and their cardiac performance is worse than patients with normal sinus rhythm. In more than 80% of patients with mitral valve disease and persistent AF who underwent isolated mitral valve intervention during the cardiac operation, their AF did not resolve.9 Surgical treatments for AF, including the Cox-Maze III procedure, a relatively complicated procedure based on a ‘cut and sew’ principle, and radiofrequency ablation, a relatively simple procedure, have resulted in 70 to 99% success rates.\nIn the series of Cox et al.,10 the Cox-Maze III procedure was performed in 346 patients, with an operative mortality of 2%. This was the largest sample using the Cox procedure and AF could be treated in 99% of patients, with only 2% requiring longterm postoperative anti-arrhythmia medication. Thirty-eight per cent of their cases had transient postoperative AF, which was attributed to the peri-operative short atrial refractory period, and did not affect long-term results.11 Fifteen per cent of patients required permanent pacemakers after the operation. Based on these results, the Cox-Maze III procedure has been accepted as the gold standard for the treatment of AF.\nThe success rates of Cox-Maze III procedures reported by other centres have been lower than those reported by Cox et al. In most series, mitral valve surgery combined with the Cox-Maze III procedure resulted in 75 to 82% success rates for the treatment of AF, and pacemaker implantation was reported in 2 to 24% of cases.12-15 These investigators attributed their relatively low success rates to the profile of their patients, which included those resistant to medical treatment and having additional cardiac pathologies requiring open-heart surgery. On the other hand, in a study, Cox et al. compared patients with and without concomitant valvular surgery and did not find any difference in terms of incidence of peri-operative atrial arrhythmia.16\nIn order to decrease peri-operative bleeding and shorten cross clamping and cardiopulmonary bypass durations, the original incisions of the Cox-Maze III procedure have been replaced by lesions created by energy sources. Rates of 70 to 90% for absence of atrial AF have been reported with radiofrequency ablation.17 In the present study, sinus rhythm was resumed in 75, 78 and 79% of cases at the third, sixth and 12th months postoperatively, respectively. Although these rates were lower than those reported by Cox et al., they were similar to other results for Cox-Maze III and radiofrequency ablation procedures. None of our patients required a permanent pacemaker. The ease of the procedure, less time needed and rare requirement of permanent pacemaker are the advantages of radiofrequency ablation over Cox-Maze III, whereas cost is its disadvantage.\nVarious types of lesions have been defined for radiofrequency ablation.12,18,19 All these lesions involve the complete or almost complete isolation of the pulmonary veins, and excision and exclusion of the left atrial appendage. In addition, they include the prevention of transmission by creating lesions between the left pulmonary veins and the left atrial appendage, and also between the left pulmonary veins and the mitral valve annulus. In addition to these lesions, we also created a bipolar lesion on the left atrial isthmus (between the LAA and mitral annulus). Despite the diversity of these lesion types, similar AF treatment rates were found. Success rates were almost as high as those of the Cox-Maze III procedure.\nInclusion of only the left atrium during the ablation procedure is still a debated issue. As atrial fibrillation originates from the left side and atrial flutter from the right side, most authors advocating the Cox-Maze III procedure suggest that an only left-sided procedure would increase the incidence of atrial flutter and probably also the atrial fibrillation rate.18 Nakagawa et al. particularly emphasised the importance of the isthmus line between the coronary sinus and tricuspid valve, as it is responsible for most atrial flutters.20 On the other hand, several theories indicate that an isolated left atrial procedure may be effective. For example, the origin of focally induced atrial fibrillation is frequently at the right atrium, particularly on the pulmonary veins. Therefore electrical isolation of the pulmonary veins has been suggested to prevent the initiation of atrial fibrillation.21\nWillams et al. compared the results of left-sided and bilateral unipolar radiofrequency ablation but did not find a significant difference (79 and 87%, respectively).18 Other investigators have reported successful results with isolated left atrial ablation.22,23 We performed isolated left atrial ablation in all our patients and restored sinus rhythm without atrial flutter in any during the postoperative period. Therefore we tend to favour isolated left atrial ablation for the future. Although right-atrial interventions do not significantly increase the success of the procedure, they increase the duration of ischaemia and cardiopulmonary bypass and necessitate an additional atrial incision, all of which may pose additional risks.\nComplications related to radiofrequency ablation have been due to unipolar procedures. Particularly during left atrial ablation, the oesophagus, circumflex coronary artery or left main bronchus may be injured and bleeding due to left atrial perforation may develop. Among these, oesophageal injury is the most fatal.24 Another disadvantage of the unipolar catheter is the definitive lack of transmurality. On the other hand, the bipolar system assures a controlled and definitive transmural lesion, thus excluding this disadvantage. However, no significant difference could be found between the two methods with regard to success rates in treating atrial fibrillation.\nThe peri-operative presence of AF does not indicate failure of the procedure. In the present study, among the 15 patients discharged with AF, 10 returned to normal sinus rhythm at three months. On the other hand, nine patients discharged with sinus rhythm developed AF within the first three months. This may be critical with regard to the long-term success of the procedure in preventing the recurrence of AF. Therefore postoperative prophylaxis for AF is important. We could provide medical cardioversion in five out of seven patients who postoperatively developed AF despite receiving amiodarone, by adding sotalol. Therefore the amiodarone-plus-sotalol combination rather than amiodarone alone may be effective in preventing postoperative recurrences of atrial fibrillation.\nSeveral investigators reported an association between atrial size and success rate, however this finding has not been confirmed by others.12,19 In the present study, left atrial diameter was greater in patients with persistent AF, although the difference did not reach statistical significance.\nThe main finding of this study was the importance of the concomitant ablation procedure in patients with mitral valve disease. Although the results were similar to the previous reports discussed above, this study constitutes an important contribution to the literature on using ablation with partial lesions.", "Isolated left atrial radiofrequency ablation effectively treats AF without significantly increasing the duration of cardiopulmonary bypass and without specific complications due to the procedure itself. This procedure demonstrates that AF may be successfully treated by creating a partial lesion, rather than a complete lesion as in the Cox-Maze III procedure." ]
[ null, "methods", null, null, null, "results", "discussion", "conclusion" ]
[ "radiofrequency ablation", "atrial fibrillation", "mitral valve disease" ]
Summary: Atrial fibrillation (AF) is a rapid and irregular activation of the atria so that the normal sinus rhythm disappears. Currently, it is the most frequent form of persistent arrhythmia. Although its incidence ranges from 0.4 to 2% in the general population, this rate is about 10% among individuals over 60 years of age. Atrial fibrillation is particularly common in patients with mitral valve disease (30 to 84%) but is also detected in about 5% of patients with aortic valve and coronary artery disease.1 Although most patients with persistent AF have underlying cardiovascular disease, about 31% do not have cardiovascular disease.2 Atrial fibrillation may cause heart failure, thromboembolic complications, increased treatment costs and impaired quality of life, and it represents a significant risk for mortality even after the underlying cardiovascular disease is treated.3 Medical treatment has been reported to be unsuccessful in approximately 50 and 84% of patients with permanent AF.4 Therefore various surgical techniques, including left atrial isolation, catheter ablation of the bundle of His, corridor procedure, pulmonary button isolation and the atrial compartment operation have been adapted to treat atrial fibrillation.5 The Cox-Maze III operation, which has become the gold-standard for surgical treatment of atrial fibrillation, with nearly 100% success rates was developed by James Cox and colleagues.6 It involves the cutting and sewing of various parts of both atria in order to block the spread of irregular electrical activity by creating lines of isolation in the atrial musculature. Unfortunately, this method needs experience, since it is complex and time-consuming, and also has a high rate of complications. In recent years, alternative energy sources such as radiofrequency (RF), microwave, laser, bipolar cauterisation and cryoablation have been developed to create isolating lines without cutting the tissue, and thus making ablation easier. Currently, the radiofrequency ablation technique, which was first performed by Sie et al. in 1995,7,8 and cryo-ablation have been the most commonly used methods. The aim of this study was to assess the midterm results of left atrial bipolar radiofrequency ablation combined with a mitral valve procedure in patients with mitral valve disease and persistent atrial fibrillation. Methods: The study included a total of 95 patients (27 male: 27.8%, 68 female: 72.2%; age range: 20–77 years) who underwent a left atrial radiofrequency ablation procedure combined with mitral valve surgery between October 2006 and July 2009. The procedure was performed in all patients with persistent atrial fibrillation (lasting at least six months) plus mitral valve disease, except for AF cases with slow ventricular response. Standard 12-lead electrocardiography, Holter ECG, transthoracic echocardiography, left and right heart catheterisation and coronary angiography were performed before surgery in patients over 40 years old. Besides symptoms secondary to valve disease, palpitations were present in 70.8% of patients. Sixty-three patients had isolated mitral valve disease. In addition to mitral valve disease, 14 had coronary artery disease, 14 had aortic valve disease, and four had coronary artery disease plus aortic valve disease. Tricuspid valve disease was also present in 31 (33%) of the 95 cases. The aetiology of mitral valve disease was rheumatic fever in 73.8% of the patients. Pre-operative data are summarised in Table 1. NYHA: New York Heart Association; MVR: mitral valve replacement; AVR: aortic valve replacement; CABG: coronary artery bypass grafting. Surgical technique: After performing a median sternotomy, aortic and bicaval venous cannulation was performed. Antegrade blood cardioplegia was used for induction, and continuous retrograde blood cardioplegia via the coronary sinus was used for maintenance for myocardial protection. Mitral valve replacement was performed in 83 patients, mitral valve repair in 12, and coronary artery bypass grafting in 18 (Table 1). Mean duration of cross clamping and perfusion times were 84 ± 34 and 113 ± 37 minutes, respectively. To decrease the risk of intracavitary thrombus formation, a continuous heparin infusion was administered until six hours before surgery. For bipolar left atrial radiofrequency ablation, the Cardioblate® BP2 surgical ablation device (Medtronic model 60831) with serum irrigation was used. Two ablating inserts were mounted on the opposing faces of the jaws of a stainless steel clamp. Each insert was made of two RF electrodes embedded in a polyester covering. The electrodes had a thermocouple mounted on each end. RF current was delivered for 40 to 45 seconds at 35–40 W, with a preset temperature of 90°C. All the ablations were performed on full cardiopulmonary bypass at 32°C. The left atrium was opened following cross clamping. Particular caution was exercised to open a large atriotomy. If mitral valve replacement was to be performed, the mitral valve was removed first and then ablation was done. Firstly, a lesion was created around both right pulmonary veins and the line was joined with a left atriotomy incision, by placing one electrode of the bipolar catheter on the epicardial surface and the other on the endocardial surface of the left atrium. The left pulmonary veins were explored and released, epicardial bipolar ablation was done and both pulmonary veins were isolated as an island. The left atrial appendage (LAA) was resected from outside. Then lesions were created at the lines between (1) the left pulmonary vein lesion and the LAA, and (2) the LAA and the mitral annulus, by placing one electrode of the catheter on the epicardium and the other on the endocardium (Fig. 1). The left atrial appendectomy was sutured from outside following the ablation. Finally, the mitral valvular procedure was performed. Lines where the ablation procedure was done. Follow up: Oral anticoagulation was administered to all patients for three months. Oral anticoagulants were discontinued on the third month postoperatively if mitral and/or aortic valve replacement was not performed, patients were in normal sinus rhythm, or bi-atrial contraction was present. Anti-arrhythmic prophylaxis was carried out on a routine basis. Amiodarone was used as the first drug of choice: an intravenous bolus of 300 mg, followed by a continuous infusion of 1 200 mg/24 hours was routinely administered until the first postoperative day. In the absence of AV block other than first degree or in the absence of unstable SR, oral administration of 200 mg amiodarone three times a day was given until discharge. A maintenance regimen of 200 mg/day was given for three to six months. In cases of contraindications to amiodarone, sotalol or propafenone were given. Sotalol plus amiodarone, or electromechanical cardioversion was performed in patients with relapsing AF during hospitalisation. Monitoring with standard 12-lead electrocardiography, Holter ECG and transthoracic echocardiography was done one, three, six and 12 months after the operation. Statistical analysis: SPSS (Statistical Package for Social Sciences) for Windows version 10.0 was used for the analysis of data. Besides descriptive statistics (mean ± standard deviation), the Student’s t-test and Mann-Whitney U-test were used for the comparison of quantitative data. For the comparison of qualitative data, the Chi-square, Fischer’s Exact Chi-square and Mc Nemar tests were used. Result were evaluated at 95% confidence intervals and at a significance level of p < 0.05. Results: Hospital mortality was 6.3% (six patients): five due to low cardiac output and one due to pulmonary complications. No morbidity related to the ablation procedure itself was observed. Seven patients had pulmonary complications (7.6%) and nine (10.1%) stayed in the intensive care unit for more than 48 hours. Mean durations of intubation and hospitalisation were 12.27 ± 4.78 hours and 8.7 ± 5.83 days, respectively. No neurological event was observed. On arrival in the intensive care unit after the operation, 74 patients (77.9%) were in normal sinus rhythm, 15 (15.8 %) were in AF, and six (6.3%) were in AV block. Among the six patients who died in hospital, two of them were in sinus rhythm, two in complete AV block and two in AF. Among the remaining four patients with complete AV block on arrival in the intensive care unit, one developed AF and three resumed normal sinus rhythm. Sixteen of the patients with normal sinus rhythm on arrival in the intensive care unit relapsed into AF during hospitalisation. Medical treatment with amiodarone and sotalol resumed normal sinus rhythm in five patients, and electromechanical cardioversion resumed normal sinus rhythm in one of these 16 patients. When the 89 surviving patients were discharged, 65 (65/89, 73%) were in normal sinus rhythm and 24 were in AF (24/89, 27%). None of the patients required permanent pacemaker implantation during the follow-up period. Of the 89 patients who were discharged, follow up was performed in all at one month, in 81 at three months, in 76 at six months and in 73 at 12 months post surgery (Fig. 2). Unfortunately, the socio-economic and geographical characteristics of our country prevented 100% follow up of the patients. The course of cardiac rhythm during hospitalisation and follow up. According to the parameters reviewed at six months postoperatively, patients with atrial fibrillation and sinus rhythm did not differ in terms of left atrial diameter, left ventricular enddiastolic and end-systolic diameter, ejection fraction, pulmonary artery pressure and left ventricular end-diastolic pressure. When the subgroup of patients operated for mitral stenosis was examined, patients with AF and sinus rhythm were similar with regard to mitral valve area and maximum gradients (p > 0.05) (Tables 2, 3). NSR: normal sinus rhythm; AF: atrial fibrillation; t: Student’s t-test statistics; χ2: Chi-square statistics; BMI: body mass index. AF: atrial fibrillation; NSR: normal sinus rhythm; t: Student’s t-test; z: Mann-Whitney U-test; LA: left atrial diameter; LVEDD: left ventricular end-diastolic diameter; LVESD: left ventricular end-systolic diameter; EF: ejection fraction; PAP: pulmonary artery pressure; LVEDP: left ventricular end-diastolic pressure; MAXG: maximum gradient at mitral valve; MVA: mitral valve area. *Patients with mitral stenosis. Pre-operative functional capacity, type and aetiology of the mitral valve lesion, presence of coronary artery disease, ablation technique, presence of hypertension or the type of mitral intervention (replacement or repair) did not affect the success of the ablation procedures (Table 4). AF: atrial fibrillation; NSR: normal sinus rhythm; χ2: Chi-square test. Discussion: Most patients with persistent AF have underlying cardiovascular disease and are candidates for open-heart surgery. These patients are prone to develop thromboembolic complications and their cardiac performance is worse than patients with normal sinus rhythm. In more than 80% of patients with mitral valve disease and persistent AF who underwent isolated mitral valve intervention during the cardiac operation, their AF did not resolve.9 Surgical treatments for AF, including the Cox-Maze III procedure, a relatively complicated procedure based on a ‘cut and sew’ principle, and radiofrequency ablation, a relatively simple procedure, have resulted in 70 to 99% success rates. In the series of Cox et al.,10 the Cox-Maze III procedure was performed in 346 patients, with an operative mortality of 2%. This was the largest sample using the Cox procedure and AF could be treated in 99% of patients, with only 2% requiring longterm postoperative anti-arrhythmia medication. Thirty-eight per cent of their cases had transient postoperative AF, which was attributed to the peri-operative short atrial refractory period, and did not affect long-term results.11 Fifteen per cent of patients required permanent pacemakers after the operation. Based on these results, the Cox-Maze III procedure has been accepted as the gold standard for the treatment of AF. The success rates of Cox-Maze III procedures reported by other centres have been lower than those reported by Cox et al. In most series, mitral valve surgery combined with the Cox-Maze III procedure resulted in 75 to 82% success rates for the treatment of AF, and pacemaker implantation was reported in 2 to 24% of cases.12-15 These investigators attributed their relatively low success rates to the profile of their patients, which included those resistant to medical treatment and having additional cardiac pathologies requiring open-heart surgery. On the other hand, in a study, Cox et al. compared patients with and without concomitant valvular surgery and did not find any difference in terms of incidence of peri-operative atrial arrhythmia.16 In order to decrease peri-operative bleeding and shorten cross clamping and cardiopulmonary bypass durations, the original incisions of the Cox-Maze III procedure have been replaced by lesions created by energy sources. Rates of 70 to 90% for absence of atrial AF have been reported with radiofrequency ablation.17 In the present study, sinus rhythm was resumed in 75, 78 and 79% of cases at the third, sixth and 12th months postoperatively, respectively. Although these rates were lower than those reported by Cox et al., they were similar to other results for Cox-Maze III and radiofrequency ablation procedures. None of our patients required a permanent pacemaker. The ease of the procedure, less time needed and rare requirement of permanent pacemaker are the advantages of radiofrequency ablation over Cox-Maze III, whereas cost is its disadvantage. Various types of lesions have been defined for radiofrequency ablation.12,18,19 All these lesions involve the complete or almost complete isolation of the pulmonary veins, and excision and exclusion of the left atrial appendage. In addition, they include the prevention of transmission by creating lesions between the left pulmonary veins and the left atrial appendage, and also between the left pulmonary veins and the mitral valve annulus. In addition to these lesions, we also created a bipolar lesion on the left atrial isthmus (between the LAA and mitral annulus). Despite the diversity of these lesion types, similar AF treatment rates were found. Success rates were almost as high as those of the Cox-Maze III procedure. Inclusion of only the left atrium during the ablation procedure is still a debated issue. As atrial fibrillation originates from the left side and atrial flutter from the right side, most authors advocating the Cox-Maze III procedure suggest that an only left-sided procedure would increase the incidence of atrial flutter and probably also the atrial fibrillation rate.18 Nakagawa et al. particularly emphasised the importance of the isthmus line between the coronary sinus and tricuspid valve, as it is responsible for most atrial flutters.20 On the other hand, several theories indicate that an isolated left atrial procedure may be effective. For example, the origin of focally induced atrial fibrillation is frequently at the right atrium, particularly on the pulmonary veins. Therefore electrical isolation of the pulmonary veins has been suggested to prevent the initiation of atrial fibrillation.21 Willams et al. compared the results of left-sided and bilateral unipolar radiofrequency ablation but did not find a significant difference (79 and 87%, respectively).18 Other investigators have reported successful results with isolated left atrial ablation.22,23 We performed isolated left atrial ablation in all our patients and restored sinus rhythm without atrial flutter in any during the postoperative period. Therefore we tend to favour isolated left atrial ablation for the future. Although right-atrial interventions do not significantly increase the success of the procedure, they increase the duration of ischaemia and cardiopulmonary bypass and necessitate an additional atrial incision, all of which may pose additional risks. Complications related to radiofrequency ablation have been due to unipolar procedures. Particularly during left atrial ablation, the oesophagus, circumflex coronary artery or left main bronchus may be injured and bleeding due to left atrial perforation may develop. Among these, oesophageal injury is the most fatal.24 Another disadvantage of the unipolar catheter is the definitive lack of transmurality. On the other hand, the bipolar system assures a controlled and definitive transmural lesion, thus excluding this disadvantage. However, no significant difference could be found between the two methods with regard to success rates in treating atrial fibrillation. The peri-operative presence of AF does not indicate failure of the procedure. In the present study, among the 15 patients discharged with AF, 10 returned to normal sinus rhythm at three months. On the other hand, nine patients discharged with sinus rhythm developed AF within the first three months. This may be critical with regard to the long-term success of the procedure in preventing the recurrence of AF. Therefore postoperative prophylaxis for AF is important. We could provide medical cardioversion in five out of seven patients who postoperatively developed AF despite receiving amiodarone, by adding sotalol. Therefore the amiodarone-plus-sotalol combination rather than amiodarone alone may be effective in preventing postoperative recurrences of atrial fibrillation. Several investigators reported an association between atrial size and success rate, however this finding has not been confirmed by others.12,19 In the present study, left atrial diameter was greater in patients with persistent AF, although the difference did not reach statistical significance. The main finding of this study was the importance of the concomitant ablation procedure in patients with mitral valve disease. Although the results were similar to the previous reports discussed above, this study constitutes an important contribution to the literature on using ablation with partial lesions. Conclusion: Isolated left atrial radiofrequency ablation effectively treats AF without significantly increasing the duration of cardiopulmonary bypass and without specific complications due to the procedure itself. This procedure demonstrates that AF may be successfully treated by creating a partial lesion, rather than a complete lesion as in the Cox-Maze III procedure.
Background: The aim of the study was to assess the midterm results of left atrial bipolar radiofrequency ablation combined with a mitral valve procedure in patients with mitral valve disease and persistent atrial fibrillation. Methods: Between October 2006 and July 2009, 95 patients with mitral valve disease and persistent atrial fibrillation underwent a mitral valve procedure and left atrial bipolar radiofrequency ablation. The postoperative data of the combined procedure were collected at the time of discharge and at one, three, six and 12 months after the operation. Results: Hospital mortality rate was 6.3% (six patients). Normal sinus rhythm was achieved in 77.2% of patients during the early postoperative period in hospital, and in 73.3, 72.0 and 75% of patients at three, six and 12 months postoperatively, respectively. Patients were followed up for a mean duration of 14.02 + or - 5.71 months (range: 6-19 months). During this midterm follow-up period, nine patients had late recurrence of atrial fibrillation. No risk factor was identified for late recurrence of atrial fibrillation. Conclusions: Our midterm follow-up results suggest that the addition of left atrial bipolar radiofrequency ablation to mitral valve surgery is an effective and safe procedure to restore sinus rhythm in patients with chronic atrial fibrillation.
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3,368
246
[ 403, 417, 201, 95 ]
8
[ "atrial", "patients", "left", "af", "valve", "ablation", "mitral", "procedure", "mitral valve", "sinus" ]
[ "persistent atrial fibrillation", "patients atrial fibrillation", "treatment atrial fibrillation", "af atrial fibrillation", "atrial fibrillation cox" ]
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[CONTENT] radiofrequency ablation | atrial fibrillation | mitral valve disease [SUMMARY]
[CONTENT] radiofrequency ablation | atrial fibrillation | mitral valve disease [SUMMARY]
[CONTENT] radiofrequency ablation | atrial fibrillation | mitral valve disease [SUMMARY]
[CONTENT] radiofrequency ablation | atrial fibrillation | mitral valve disease [SUMMARY]
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[CONTENT] Adult | Aged | Atrial Fibrillation | Cardiac Surgical Procedures | Cardiopulmonary Bypass | Catheter Ablation | Chi-Square Distribution | Chronic Disease | Female | Heart Valve Diseases | Heart Valve Prosthesis Implantation | Hospital Mortality | Humans | Male | Middle Aged | Mitral Valve | Recurrence | Risk Assessment | Risk Factors | Time Factors | Treatment Outcome | Turkey | Young Adult [SUMMARY]
[CONTENT] Adult | Aged | Atrial Fibrillation | Cardiac Surgical Procedures | Cardiopulmonary Bypass | Catheter Ablation | Chi-Square Distribution | Chronic Disease | Female | Heart Valve Diseases | Heart Valve Prosthesis Implantation | Hospital Mortality | Humans | Male | Middle Aged | Mitral Valve | Recurrence | Risk Assessment | Risk Factors | Time Factors | Treatment Outcome | Turkey | Young Adult [SUMMARY]
[CONTENT] Adult | Aged | Atrial Fibrillation | Cardiac Surgical Procedures | Cardiopulmonary Bypass | Catheter Ablation | Chi-Square Distribution | Chronic Disease | Female | Heart Valve Diseases | Heart Valve Prosthesis Implantation | Hospital Mortality | Humans | Male | Middle Aged | Mitral Valve | Recurrence | Risk Assessment | Risk Factors | Time Factors | Treatment Outcome | Turkey | Young Adult [SUMMARY]
[CONTENT] Adult | Aged | Atrial Fibrillation | Cardiac Surgical Procedures | Cardiopulmonary Bypass | Catheter Ablation | Chi-Square Distribution | Chronic Disease | Female | Heart Valve Diseases | Heart Valve Prosthesis Implantation | Hospital Mortality | Humans | Male | Middle Aged | Mitral Valve | Recurrence | Risk Assessment | Risk Factors | Time Factors | Treatment Outcome | Turkey | Young Adult [SUMMARY]
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[CONTENT] persistent atrial fibrillation | patients atrial fibrillation | treatment atrial fibrillation | af atrial fibrillation | atrial fibrillation cox [SUMMARY]
[CONTENT] persistent atrial fibrillation | patients atrial fibrillation | treatment atrial fibrillation | af atrial fibrillation | atrial fibrillation cox [SUMMARY]
[CONTENT] persistent atrial fibrillation | patients atrial fibrillation | treatment atrial fibrillation | af atrial fibrillation | atrial fibrillation cox [SUMMARY]
[CONTENT] persistent atrial fibrillation | patients atrial fibrillation | treatment atrial fibrillation | af atrial fibrillation | atrial fibrillation cox [SUMMARY]
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[CONTENT] atrial | patients | left | af | valve | ablation | mitral | procedure | mitral valve | sinus [SUMMARY]
[CONTENT] atrial | patients | left | af | valve | ablation | mitral | procedure | mitral valve | sinus [SUMMARY]
[CONTENT] atrial | patients | left | af | valve | ablation | mitral | procedure | mitral valve | sinus [SUMMARY]
[CONTENT] atrial | patients | left | af | valve | ablation | mitral | procedure | mitral valve | sinus [SUMMARY]
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[CONTENT] disease | valve disease | valve | mitral valve | patients | mitral | mitral valve disease | coronary | aortic valve | 14 [SUMMARY]
[CONTENT] rhythm | patients | sinus rhythm | sinus | normal | normal sinus rhythm | normal sinus | left ventricular | af | ventricular [SUMMARY]
[CONTENT] procedure | lesion | lesion complete lesion cox | lesion cox maze iii | duration cardiopulmonary bypass | duration cardiopulmonary bypass specific | complications procedure procedure demonstrates | complications procedure procedure | complications procedure | lesion complete [SUMMARY]
[CONTENT] patients | atrial | left | valve | af | disease | mitral | procedure | ablation | mitral valve [SUMMARY]
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[CONTENT] Between October 2006 and July 2009 | 95 ||| three | six and 12 months [SUMMARY]
[CONTENT] 6.3% | six ||| 77.2% | 73.3 | 72.0 | 75% | three ||| 14.02 | + or - 5.71 months | 6-19 months ||| nine ||| [SUMMARY]
[CONTENT] [SUMMARY]
[CONTENT] ||| Between October 2006 and July 2009 | 95 ||| three | six and 12 months ||| ||| 6.3% | six ||| 77.2% | 73.3 | 72.0 | 75% | three ||| 14.02 | + or - 5.71 months | 6-19 months ||| nine ||| ||| [SUMMARY]
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Effects of continuous renal replacement therapy on intestinal mucosal barrier function during extracorporeal membrane oxygenation in a porcine model.
24758270
Extracorporeal membrane oxygenation (ECMO) has been recommended for treatment of acute, potentially reversible, life-threatening respiratory failure unresponsive to conventional therapy. Intestinal mucosal barrier dysfunction is one of the most critical pathophysiological disorders during ECMO. This study aimed to determine whether combination with CRRT could alleviate damage of intestinal mucosal barrier function during VV ECMO in a porcine model.
BACKGROUNDS
Twenty-four piglets were randomly divided into control(C), sham(S), ECMO(E) and ECMO + CRRT(EC) group. The animals were treated with ECMO or ECMO + CRRT for 24 hours. After the experiments, piglets were sacrificed. Jejunum, ileum and colon were harvested for morphologic examination of mucosal injury and ultrastructural distortion. Histological scoring was assessed according to Chiu's scoring standard. Blood samples were taken from the animals at -1, 2, 6, 12 and 24 h during experiment. Blood, liver, spleen, kidney and mesenteric lymphnode were collected for bacterial culture. Serum concentrations of diamine oxidase (DAO) and intestinal fatty acid binding protein (I-FABP) were tested as markers to assess intestinal epithelial function and permeability. DAO levels were determined by spectrophotometry and I-FABP levels by enzyme linked immunosorbent assay.
METHODS
Microscopy findings showed that ECMO-induced intestinal microvillus shedding and edema, morphological distortion of tight junction between intestinal mucous epithelium and loose cell-cell junctions were significantly improved with combination of CRRT. No significance was detected on positive rate of serum bacterial culture. The elevated colonies of bacterial culture in liver and mesenteric lymphnode in E group reduced significantly in EC group (p < 0.05). Compared with E group, EC group showed significantly decreased level of serum DAO and I-FABP (p < 0.05).
RESULTS
CRRT can alleviate the intestinal mucosal dysfunction and bacterial translocation during VV ECMO, which may extenuate the ECMO-associated SIRS and raise the clinical effect and safety.
CONCLUSIONS
[ "Animals", "Bacterial Translocation", "Disease Models, Animal", "Extracorporeal Membrane Oxygenation", "Fatty Acid-Binding Proteins", "Intestinal Mucosa", "Microscopy, Electron, Transmission", "Permeability", "Renal Replacement Therapy", "Swine", "Systemic Inflammatory Response Syndrome" ]
4013437
Background
Extracorporeal membrane oxygenation (ECMO) has been considered as an effective means of treatment to unresponsive pulmonary hypertension, respiratory failure, sepsis, and emergency temporary cardiac support for almost 60 years [1,2]. With superiority for moribund patients, venovenous extracorporeal membrane oxygenation (VV ECMO) is recommended to support patients with severe but potentially reversible respiratory failure refractory to conventional therapy [3-6]. The encouraging results in the CESAR trial and remarkable effect of ECMO in 2009 H1N1 and 2013 H7N9 pandemichas brought it into the spotlight worldwide [7-10]. However, direct circulation of blood across synthetic surfaces escalates a pro-inflammatory response, further exacerbating a disease process that is already associated with the activation of the inflammatory cascade [11]. With much wider range of use, concerns remain about the near-universal occurrence of systemic inflammatory response syndrome (SIRS) during ECMO associated with considerable morbidity [12-17]. Intestine is the central part of systemic SIRS and a motor of multiple organ dysfunction syndrome (MODS) [18]. Rapid rise of plasma concentrations of inflammatory cytokines during ECMO-related SIRS is due to the release of pre-formed stores in the intestine [19]. Breakdown of mucosal barrier during ECMO increases intestinal permeability and allows translocation of intraluminal bacteria across the mucosa leading to distant organ injury [15]. Strategies to protect gut barrier function and thereby prevent bacterial translocation during ECMO merit comprehensive and further explorations. Continuous renal replacement therapy (CRRT) shows remarkable advantages in eliminating inflammatory mediators, dampening inflammatory response, preserving organ function and maintaining optimal fluid status during ECMO with well clinical tolerance in a hemodynamically unstable condition [20-22]. ECMO-associated organ lesion of myocardium and kidney was proven to be extenuated with CRRT [23]. As far as we know, this is the first study designed to investigate whether CRRT could alleviate the gut mucosal dysfunction and intestinal epithelial barrier loss in a swine model so as to provide an approach to improve the clinical effect and relieve the risk of VV ECMO therapy.
Methods
This study was approved by the Institutional Animal Care and Use Committee of Jingling Hospital in Nanjing, Jiangsu, China. Experiments were performed according to the National Institutes of Health Guidelines on the use of laboratory animals. Experimental protocol The 24 piglets weight of 27.46 ± 4.45 Kg (25-32 Kg) of either sex were randomly allocated to 4 groups: control group (C group), sham group (S group, to verify whether the required ECMO operative procedure affected the results), VV-ECMO group (E group), VV-ECMO combined with CRRT group (EC group). All piglets were fasted for 24 h before experiments. Each animal received lactated Ringer’s solution at a rate of 3 mL*kg−1*h−1 and bolus fluid was provided as required to maintain MAP above 60 mmHg. Temperature, serum pH, glucose, and ionized calcium concentration were monitored and maintained normally. All animals were monitored for 24 h. After heparin (150 U/kg IV) was given as a bolus to the sham, ECMO and ECMO + CRRT groups, placement of cannula was performed and confirmed by ultrasonograph. The control group got no operation and treatment. In sham group, the vascular venous cannula was occluded at 0 hour. In ECMO group, ECMO was instituted with cannulae insertion. In ECMO + CRRT group, ECMO and CRRT were initiated at the same time upon cannulae insertion. The blood and tissue samples were collected 1 h before and 2 h, 6 h, 12 h and 24 h after experiment. At the end of experiments, piglets were euthanized with a bolus injection of potassium chloride (40 mL, 0.1 g/mL). The 24 piglets weight of 27.46 ± 4.45 Kg (25-32 Kg) of either sex were randomly allocated to 4 groups: control group (C group), sham group (S group, to verify whether the required ECMO operative procedure affected the results), VV-ECMO group (E group), VV-ECMO combined with CRRT group (EC group). All piglets were fasted for 24 h before experiments. Each animal received lactated Ringer’s solution at a rate of 3 mL*kg−1*h−1 and bolus fluid was provided as required to maintain MAP above 60 mmHg. Temperature, serum pH, glucose, and ionized calcium concentration were monitored and maintained normally. All animals were monitored for 24 h. After heparin (150 U/kg IV) was given as a bolus to the sham, ECMO and ECMO + CRRT groups, placement of cannula was performed and confirmed by ultrasonograph. The control group got no operation and treatment. In sham group, the vascular venous cannula was occluded at 0 hour. In ECMO group, ECMO was instituted with cannulae insertion. In ECMO + CRRT group, ECMO and CRRT were initiated at the same time upon cannulae insertion. The blood and tissue samples were collected 1 h before and 2 h, 6 h, 12 h and 24 h after experiment. At the end of experiments, piglets were euthanized with a bolus injection of potassium chloride (40 mL, 0.1 g/mL). Surgical procedure Anesthesia was induced with ketamine (20 mg/kg), diazepam (8 mg/kg), and atropine (0.1 mg/kg) intramuscularly and then maintained with ketamine (10–20 mg*kg−1*h−1) and diazepam (8 mg*kg−1*h−1) intravenously. The animals were intubated through a cervical tracheotomy and then mechanical ventilation (TBird VELA, USA) was established using volume-controlled mode with FiO2 of 21% and a positive end-expiratory pressure set at 5 mmHg throughout the experimental period. Tidal volumes were adjusted to 5-8 mL/kg. Respiratory rate was set at 15/min. Internal jugular vein and femoral vein catheters were placed for intravenous access, sample collection and connected to a medical monitor (Model90207, Spacelabs, USA). Anesthesia was induced with ketamine (20 mg/kg), diazepam (8 mg/kg), and atropine (0.1 mg/kg) intramuscularly and then maintained with ketamine (10–20 mg*kg−1*h−1) and diazepam (8 mg*kg−1*h−1) intravenously. The animals were intubated through a cervical tracheotomy and then mechanical ventilation (TBird VELA, USA) was established using volume-controlled mode with FiO2 of 21% and a positive end-expiratory pressure set at 5 mmHg throughout the experimental period. Tidal volumes were adjusted to 5-8 mL/kg. Respiratory rate was set at 15/min. Internal jugular vein and femoral vein catheters were placed for intravenous access, sample collection and connected to a medical monitor (Model90207, Spacelabs, USA). VV-ECMO proceduce After a 150 U/kg intravenous bolus of heparin, ECMO cannulae (15-Fr, Medtronic, USA) were placed in the superior vena cava through the internal jugular vein and inferior vena cava through the femoral vein. Placement of cannulae was confirmed under guidance of ultrasonograph. Heparin was continuously infused to keep the activated clotting time (ACT) at 180 to 220 s during the process of ECMO. The ECMO system consisted of a membrane oxygenator and tubing (Quadrox PLS, Maquet, Germany), a centrifugal pump (Rotaflow Console, Maquet, Germany), and a heat exchange maintaining temperature at 37°C (Heater–Cooler Unit HCU 30, Maquet, Germany). The circuit was primed with 500 mL hydroxyethyl starch 130/0.4 and 200-300 mL Ringer’s lactate. Blood in circuit was drained from the femoral vein cannulae and infused into the internal jugular vein cannulae at a flow rate of 50 mL*kg−1*min−1. Sweep gas was 100% oxygen at a flow rate equal to the blood flow rate. After a 150 U/kg intravenous bolus of heparin, ECMO cannulae (15-Fr, Medtronic, USA) were placed in the superior vena cava through the internal jugular vein and inferior vena cava through the femoral vein. Placement of cannulae was confirmed under guidance of ultrasonograph. Heparin was continuously infused to keep the activated clotting time (ACT) at 180 to 220 s during the process of ECMO. The ECMO system consisted of a membrane oxygenator and tubing (Quadrox PLS, Maquet, Germany), a centrifugal pump (Rotaflow Console, Maquet, Germany), and a heat exchange maintaining temperature at 37°C (Heater–Cooler Unit HCU 30, Maquet, Germany). The circuit was primed with 500 mL hydroxyethyl starch 130/0.4 and 200-300 mL Ringer’s lactate. Blood in circuit was drained from the femoral vein cannulae and infused into the internal jugular vein cannulae at a flow rate of 50 mL*kg−1*min−1. Sweep gas was 100% oxygen at a flow rate equal to the blood flow rate. CRRT setting CRRT was performed in a pre-dilution mode using a polysulfone membrane (1.4 m2 AV 600 s, ultraflux, Germany) connected to a continuous blood pump (Baxter BM 25, Baxter SAN Germany). CRRT was performed with zero-balanced continuous venovenous hemofiltration (CVVH) at a blood flow of 160-180 mL/min and an ultrafiltration rate of 35 mL*kg−1*h−1. A lactate-buffered replacement fluid (deploy Jingling prescription, China) was administered in a post-dilutional fashion. CRRT was performed in a pre-dilution mode using a polysulfone membrane (1.4 m2 AV 600 s, ultraflux, Germany) connected to a continuous blood pump (Baxter BM 25, Baxter SAN Germany). CRRT was performed with zero-balanced continuous venovenous hemofiltration (CVVH) at a blood flow of 160-180 mL/min and an ultrafiltration rate of 35 mL*kg−1*h−1. A lactate-buffered replacement fluid (deploy Jingling prescription, China) was administered in a post-dilutional fashion. Connecting manner The inlet (arterial) line of the CRRT circuit was connected after oxygenator by a three-way tap and the outlet (venous) line was connected to the circuit at another tap on infusing cannula. The filters were unchanged during 24 hours each time. The inlet (arterial) line of the CRRT circuit was connected after oxygenator by a three-way tap and the outlet (venous) line was connected to the circuit at another tap on infusing cannula. The filters were unchanged during 24 hours each time. Histopathological examination 1. Histology examination and score Tissue samples from the jejunum, ileum and colon were fixed and dehydrated with 10% formalin, embedded in paraffin, cutted into sections, stained with hematoxylin and eosin (H and E staining), and observed in 100-times by an optical microscopy (CX41, Olympus, Tokyo, Japan). Four distinct sections of each sample are observed and scored according to Chiu’s scoring standard by two independent pathologist blinded to the grouping [24]. 2. Ultrastructure detection Fresh intestinal tissues from the jejunum, ileum and colon were flushed with phosphate-buffered saline, cut into pieces (1*1*1 mm), fixed with 2.5% cold glutaraldehyde for 2 h, flushed with phosphate-buffered saline again, fixed with 1% perosmic acid, and dehydrated with acetone. Ultrathin sections were placed on 200-mesh copper grids and double stained with 4% uranyl acetate and 0.2% lead citrate. Sections were examined under transmission electron microscopy (TEM, JEM-1200, Hitachi, Tokyo, Japan). Ultrastructure of tight junction was observed in 10,000-times magnification. The histology and ultrastructure were examined by two independent pathologist blinded to the grouping. 1. Histology examination and score Tissue samples from the jejunum, ileum and colon were fixed and dehydrated with 10% formalin, embedded in paraffin, cutted into sections, stained with hematoxylin and eosin (H and E staining), and observed in 100-times by an optical microscopy (CX41, Olympus, Tokyo, Japan). Four distinct sections of each sample are observed and scored according to Chiu’s scoring standard by two independent pathologist blinded to the grouping [24]. 2. Ultrastructure detection Fresh intestinal tissues from the jejunum, ileum and colon were flushed with phosphate-buffered saline, cut into pieces (1*1*1 mm), fixed with 2.5% cold glutaraldehyde for 2 h, flushed with phosphate-buffered saline again, fixed with 1% perosmic acid, and dehydrated with acetone. Ultrathin sections were placed on 200-mesh copper grids and double stained with 4% uranyl acetate and 0.2% lead citrate. Sections were examined under transmission electron microscopy (TEM, JEM-1200, Hitachi, Tokyo, Japan). Ultrastructure of tight junction was observed in 10,000-times magnification. The histology and ultrastructure were examined by two independent pathologist blinded to the grouping. Measurement of intestinal barrier function 1. Bacterial translocation a) Blood bacterial culture: blood samples were placed in agarose-gel plates to aerobic and anaerobic bacterial culture for 24 h for bacterial identification. b) Tissue bacterial culture: after animals were euthanized, the liver, spleen, kidney and mesenteric lymphnode were collected by stringent aseptic operation for tissue bacterial culture at 37°C for 24 h (measured by clonal formation unit/gram, CFU/g). 2. Concentrations of Diamine Oxidase (DAO) and intestinal fatty acid binding protein (I-FABP) Concentrations of DAO and I-FABP were used as the markers for the assessment of intestinal epithelial function. Serum and filtrate DAO levels were determined using a spectrophotometry kit (Nanjing Jiancheng Bioengineering Institute,China). Serum and filtrate I-FABP level were tested by enzyme linked immunosorbent assay (ELISA) kit (Wuhan EIAab Science Co., Ltd, China). Spectrophotometry and ELISA was performed according to the manufacturer’s instructions. 1. Bacterial translocation a) Blood bacterial culture: blood samples were placed in agarose-gel plates to aerobic and anaerobic bacterial culture for 24 h for bacterial identification. b) Tissue bacterial culture: after animals were euthanized, the liver, spleen, kidney and mesenteric lymphnode were collected by stringent aseptic operation for tissue bacterial culture at 37°C for 24 h (measured by clonal formation unit/gram, CFU/g). 2. Concentrations of Diamine Oxidase (DAO) and intestinal fatty acid binding protein (I-FABP) Concentrations of DAO and I-FABP were used as the markers for the assessment of intestinal epithelial function. Serum and filtrate DAO levels were determined using a spectrophotometry kit (Nanjing Jiancheng Bioengineering Institute,China). Serum and filtrate I-FABP level were tested by enzyme linked immunosorbent assay (ELISA) kit (Wuhan EIAab Science Co., Ltd, China). Spectrophotometry and ELISA was performed according to the manufacturer’s instructions. Statistical analysis Continuous variables were defined as means ± standard deviation if they were normally distributed,Colonies of tissue bacterial culture were computed by log10. Comparisons between groups for pathological score, colonies of tissue bacterial culture, DAO and I-FABP levels in filtrate were performed by using one-way analysis of variance (ANOVA). In case of statistical significance, post hoc comparisons were made by unpaired samples t-test. Fisher’s exact test was used in blood culture positive rate. Repeated-measures ANOVA were used to analyze DAO and I-FABP variables over time between four groups followed by Bonferroni’s post hoc testing. Statistical comparisons among the groups were performed using two-way ANOVA, followed by unpaired t-tests with Bonferroni’s correction. Statistical significance was accepted for a P-value of 0.05. Statistical analysis was performed using the SPSS statistical package (version17.0; SPSS Inc., Chicago, IL, USA). Continuous variables were defined as means ± standard deviation if they were normally distributed,Colonies of tissue bacterial culture were computed by log10. Comparisons between groups for pathological score, colonies of tissue bacterial culture, DAO and I-FABP levels in filtrate were performed by using one-way analysis of variance (ANOVA). In case of statistical significance, post hoc comparisons were made by unpaired samples t-test. Fisher’s exact test was used in blood culture positive rate. Repeated-measures ANOVA were used to analyze DAO and I-FABP variables over time between four groups followed by Bonferroni’s post hoc testing. Statistical comparisons among the groups were performed using two-way ANOVA, followed by unpaired t-tests with Bonferroni’s correction. Statistical significance was accepted for a P-value of 0.05. Statistical analysis was performed using the SPSS statistical package (version17.0; SPSS Inc., Chicago, IL, USA).
Results
No significant differences were detected in body weight and other characteristics among groups. Histology and ultrastructure examination In histology examination, jejunal and ileal mucosa was normal in C group. Jejunal and ileal mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were attenuated in EC group with slight mucosal injury and villi shedding (Figure 1A-H). Normal morphology of colonic mucosa was demolished in E group and slight structural disorder with epithelial atrophy was found in S group. Mucosal damages were relieved back to smooth and integral in EC group similar to C group (Figure 1I-L). Significant difference of pathologic scores was detected among four groups (P < 0.01). Socres of S and E group were markedly higher than C group, disclosing the impairment on intestinal mucosa by invasive manipulation and ECMO therapy (P < 0.01). Score was slightly elevated in E group when compared with S group. Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). It revealed that CRRT could alleviate the ECMO-related morphological distortion of intestial mucosa (Figure 2). Histology examination of jejunal, ileal and colonic mucosa with H and E staining under optical microscopy (magnification*100). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I-L: colonic mucosa of C, S, E, EC group. Normal mucosa was viewed in C group. Mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were significantly attenuated in EC group. Pathological score of jejunal, ileal and colonic mucosa injury. Socres of S and E group were markedly higher than C group (P < 0.01). Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). (Compared to control group, *P < 0.01, ★P < 0.05; compared to S group, ◆P < 0.01; compared to E group, #P < 0.01). Under TEM, almost the same in jejunum, ileum and colon, structural integrity and solid connection of epithelial tight junction and desmosome with smooth microvillus were indicated in C group. Loose epithelial tight junction and sparse villi were found in S group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group. All damages were significantly improved in EC group with solid epithelial tight junction, dense desmosome and tidy villi (Figure 3A-H, J-M). Bacterial invasion into ileal mucosa was clearly observed suggesting a significant increase of intestinal mucosal barrier permeability (Figure 3I). Ultrastructural detection of jejunal, ileal and colonic mucosa under transmission electron microscopy (magnification*10,000). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I: bacterial invasion into ileal mucosa; J-M: colonic mucosa of C, S, E, EC group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group were significantly improved in EC group. In histology examination, jejunal and ileal mucosa was normal in C group. Jejunal and ileal mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were attenuated in EC group with slight mucosal injury and villi shedding (Figure 1A-H). Normal morphology of colonic mucosa was demolished in E group and slight structural disorder with epithelial atrophy was found in S group. Mucosal damages were relieved back to smooth and integral in EC group similar to C group (Figure 1I-L). Significant difference of pathologic scores was detected among four groups (P < 0.01). Socres of S and E group were markedly higher than C group, disclosing the impairment on intestinal mucosa by invasive manipulation and ECMO therapy (P < 0.01). Score was slightly elevated in E group when compared with S group. Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). It revealed that CRRT could alleviate the ECMO-related morphological distortion of intestial mucosa (Figure 2). Histology examination of jejunal, ileal and colonic mucosa with H and E staining under optical microscopy (magnification*100). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I-L: colonic mucosa of C, S, E, EC group. Normal mucosa was viewed in C group. Mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were significantly attenuated in EC group. Pathological score of jejunal, ileal and colonic mucosa injury. Socres of S and E group were markedly higher than C group (P < 0.01). Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). (Compared to control group, *P < 0.01, ★P < 0.05; compared to S group, ◆P < 0.01; compared to E group, #P < 0.01). Under TEM, almost the same in jejunum, ileum and colon, structural integrity and solid connection of epithelial tight junction and desmosome with smooth microvillus were indicated in C group. Loose epithelial tight junction and sparse villi were found in S group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group. All damages were significantly improved in EC group with solid epithelial tight junction, dense desmosome and tidy villi (Figure 3A-H, J-M). Bacterial invasion into ileal mucosa was clearly observed suggesting a significant increase of intestinal mucosal barrier permeability (Figure 3I). Ultrastructural detection of jejunal, ileal and colonic mucosa under transmission electron microscopy (magnification*10,000). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I: bacterial invasion into ileal mucosa; J-M: colonic mucosa of C, S, E, EC group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group were significantly improved in EC group. Bacterial translocation Blood bacterial culture was negative in all groups. At 24 h after experiment, positive rate of blood bacterial culture was highest in E group (33.33%), lower in S and EC group (16.67%) and none in C group. No statistical difference was detected by Fisher’s exact test (Table 1). There was significant difference in bacterial culture of liver and mesenteric lymphnode among four groups (P < 0.05), but none in kidney and spleen (P > 0.05). VV ECMO therapy (E group) induced a significant increase of colonies of liver and mesenteric lymphnode bacterial culture than C group (P < 0.01) which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). Colonies of mesenteric lymphnode bacterial culture rose notably in E group (vs S group, P < 0.05) and EC group (vs C group, P < 0.01). Colonies of liver bacterial culture increased mildly in E group (vs S group, P = 0.06) and EC group (vs C group, P = 0.15) (Figure 4). Serum bacterial culture Colonies of bacterial culture in liver, spleen, kidney and mesenteric lymphnode. VV ECMO therapy (E group) induced a significant increase of colonies of bacterial culture in liver and mesenteric lymphnode than C group (P < 0.01), which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). (Compared to control group, *P < 0.01; compared to S group, ◆P < 0.05; compared to E group, #P < 0.05). Blood bacterial culture was negative in all groups. At 24 h after experiment, positive rate of blood bacterial culture was highest in E group (33.33%), lower in S and EC group (16.67%) and none in C group. No statistical difference was detected by Fisher’s exact test (Table 1). There was significant difference in bacterial culture of liver and mesenteric lymphnode among four groups (P < 0.05), but none in kidney and spleen (P > 0.05). VV ECMO therapy (E group) induced a significant increase of colonies of liver and mesenteric lymphnode bacterial culture than C group (P < 0.01) which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). Colonies of mesenteric lymphnode bacterial culture rose notably in E group (vs S group, P < 0.05) and EC group (vs C group, P < 0.01). Colonies of liver bacterial culture increased mildly in E group (vs S group, P = 0.06) and EC group (vs C group, P = 0.15) (Figure 4). Serum bacterial culture Colonies of bacterial culture in liver, spleen, kidney and mesenteric lymphnode. VV ECMO therapy (E group) induced a significant increase of colonies of bacterial culture in liver and mesenteric lymphnode than C group (P < 0.01), which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). (Compared to control group, *P < 0.01; compared to S group, ◆P < 0.05; compared to E group, #P < 0.05). Injury of intestinal epithelial barrier Serum DAO and I-FABP levels did not change over time significantly among 4 groups (P > 0.05). But they differed significantly between groups at the same time point (P < 0.05). Compared with constant low level in C group, S and E group demonstrated notable increase of serum DAO and I-FABP level (P < 0.05, P < 0.01). In EC group, despite initial high level, after 2 h of CRRT serum DAO and I-FABP levels decreased gradually to same level as C group at 24 h, significantly lower than E group (P < 0.01) (Figures 5 and 6). The filtrate DAO and I-FABP levels remained relatively constant throughout the study period, which demonstrated that decreased serum DAO and I-FABP levels in EC group was not due to clearance of CRRT (Figure 7A, B). All the results suggested that the VV ECMO-induced intestinal mucosal barrier dysfunction could be relieved notably with combination of CRRT. Serum DAO levels in 4 groups. Serum DAO levels did not change significantly over time (P > 0.05). Compared with notable increase of serum DAO level in E group, it was significantly lower after CRRT for 12 h (P < 0.01). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01). Serum I-FABP levels in 4 groups. Serum I-FABP levels did not change significantly over time (P > 0.05). Compared with high serum I-FABP level in E group, it showed significant decrease after CRRT for 12 h (P < 0.05). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01). Filtrate DAO and I-FABP level over time. A: Filtrate DAO and I-FABP level over time; B: Filtrate DAO and I-FABP level over time. The filtrate DAO and I-FABP level remained relatively constant throughout the experiment period. (Compared to -1 h, *P < 0.05). Serum DAO and I-FABP levels did not change over time significantly among 4 groups (P > 0.05). But they differed significantly between groups at the same time point (P < 0.05). Compared with constant low level in C group, S and E group demonstrated notable increase of serum DAO and I-FABP level (P < 0.05, P < 0.01). In EC group, despite initial high level, after 2 h of CRRT serum DAO and I-FABP levels decreased gradually to same level as C group at 24 h, significantly lower than E group (P < 0.01) (Figures 5 and 6). The filtrate DAO and I-FABP levels remained relatively constant throughout the study period, which demonstrated that decreased serum DAO and I-FABP levels in EC group was not due to clearance of CRRT (Figure 7A, B). All the results suggested that the VV ECMO-induced intestinal mucosal barrier dysfunction could be relieved notably with combination of CRRT. Serum DAO levels in 4 groups. Serum DAO levels did not change significantly over time (P > 0.05). Compared with notable increase of serum DAO level in E group, it was significantly lower after CRRT for 12 h (P < 0.01). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01). Serum I-FABP levels in 4 groups. Serum I-FABP levels did not change significantly over time (P > 0.05). Compared with high serum I-FABP level in E group, it showed significant decrease after CRRT for 12 h (P < 0.05). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01). Filtrate DAO and I-FABP level over time. A: Filtrate DAO and I-FABP level over time; B: Filtrate DAO and I-FABP level over time. The filtrate DAO and I-FABP level remained relatively constant throughout the experiment period. (Compared to -1 h, *P < 0.05).
Conclusions
In conclusion, the results of our study indicated that damage of intestinal mucosal barrier function with loss of epithelial tight junction leading to bacterial translocation is induced during VV ECMO therapy. The combined use of VV ECMO and CRRT can alleviate levels of intestinal mucosal barrier dysfunction and related bacterial translocation, which may extenuate the ECMO-associated SIRS and raise the effect and safety of VV ECMO.
[ "Background", "Experimental protocol", "Surgical procedure", "VV-ECMO proceduce", "CRRT setting", "Connecting manner", "Histopathological examination", "Measurement of intestinal barrier function", "Statistical analysis", "Histology and ultrastructure examination", "Bacterial translocation", "Injury of intestinal epithelial barrier", "Abbreviations", "Competing interests", "Authors’ contributions", "Authors’ information" ]
[ "Extracorporeal membrane oxygenation (ECMO) has been considered as an effective means of treatment to unresponsive pulmonary hypertension, respiratory failure, sepsis, and emergency temporary cardiac support for almost 60 years [1,2]. With superiority for moribund patients, venovenous extracorporeal membrane oxygenation (VV ECMO) is recommended to support patients with severe but potentially reversible respiratory failure refractory to conventional therapy [3-6]. The encouraging results in the CESAR trial and remarkable effect of ECMO in 2009 H1N1 and 2013 H7N9 pandemichas brought it into the spotlight worldwide [7-10]. However, direct circulation of blood across synthetic surfaces escalates a pro-inflammatory response, further exacerbating a disease process that is already associated with the activation of the inflammatory cascade [11]. With much wider range of use, concerns remain about the near-universal occurrence of systemic inflammatory response syndrome (SIRS) during ECMO associated with considerable morbidity [12-17]. Intestine is the central part of systemic SIRS and a motor of multiple organ dysfunction syndrome (MODS) [18]. Rapid rise of plasma concentrations of inflammatory cytokines during ECMO-related SIRS is due to the release of pre-formed stores in the intestine [19]. Breakdown of mucosal barrier during ECMO increases intestinal permeability and allows translocation of intraluminal bacteria across the mucosa leading to distant organ injury [15]. Strategies to protect gut barrier function and thereby prevent bacterial translocation during ECMO merit comprehensive and further explorations.\nContinuous renal replacement therapy (CRRT) shows remarkable advantages in eliminating inflammatory mediators, dampening inflammatory response, preserving organ function and maintaining optimal fluid status during ECMO with well clinical tolerance in a hemodynamically unstable condition [20-22]. ECMO-associated organ lesion of myocardium and kidney was proven to be extenuated with CRRT [23]. As far as we know, this is the first study designed to investigate whether CRRT could alleviate the gut mucosal dysfunction and intestinal epithelial barrier loss in a swine model so as to provide an approach to improve the clinical effect and relieve the risk of VV ECMO therapy.", "The 24 piglets weight of 27.46 ± 4.45 Kg (25-32 Kg) of either sex were randomly allocated to 4 groups: control group (C group), sham group (S group, to verify whether the required ECMO operative procedure affected the results), VV-ECMO group (E group), VV-ECMO combined with CRRT group (EC group). All piglets were fasted for 24 h before experiments. Each animal received lactated Ringer’s solution at a rate of 3 mL*kg−1*h−1 and bolus fluid was provided as required to maintain MAP above 60 mmHg. Temperature, serum pH, glucose, and ionized calcium concentration were monitored and maintained normally. All animals were monitored for 24 h. After heparin (150 U/kg IV) was given as a bolus to the sham, ECMO and ECMO + CRRT groups, placement of cannula was performed and confirmed by ultrasonograph. The control group got no operation and treatment. In sham group, the vascular venous cannula was occluded at 0 hour. In ECMO group, ECMO was instituted with cannulae insertion. In ECMO + CRRT group, ECMO and CRRT were initiated at the same time upon cannulae insertion. The blood and tissue samples were collected 1 h before and 2 h, 6 h, 12 h and 24 h after experiment. At the end of experiments, piglets were euthanized with a bolus injection of potassium chloride (40 mL, 0.1 g/mL).", "Anesthesia was induced with ketamine (20 mg/kg), diazepam (8 mg/kg), and atropine (0.1 mg/kg) intramuscularly and then maintained with ketamine (10–20 mg*kg−1*h−1) and diazepam (8 mg*kg−1*h−1) intravenously. The animals were intubated through a cervical tracheotomy and then mechanical ventilation (TBird VELA, USA) was established using volume-controlled mode with FiO2 of 21% and a positive end-expiratory pressure set at 5 mmHg throughout the experimental period. Tidal volumes were adjusted to 5-8 mL/kg. Respiratory rate was set at 15/min. Internal jugular vein and femoral vein catheters were placed for intravenous access, sample collection and connected to a medical monitor (Model90207, Spacelabs, USA).", "After a 150 U/kg intravenous bolus of heparin, ECMO cannulae (15-Fr, Medtronic, USA) were placed in the superior vena cava through the internal jugular vein and inferior vena cava through the femoral vein. Placement of cannulae was confirmed under guidance of ultrasonograph. Heparin was continuously infused to keep the activated clotting time (ACT) at 180 to 220 s during the process of ECMO. The ECMO system consisted of a membrane oxygenator and tubing (Quadrox PLS, Maquet, Germany), a centrifugal pump (Rotaflow Console, Maquet, Germany), and a heat exchange maintaining temperature at 37°C (Heater–Cooler Unit HCU 30, Maquet, Germany). The circuit was primed with 500 mL hydroxyethyl starch 130/0.4 and 200-300 mL Ringer’s lactate. Blood in circuit was drained from the femoral vein cannulae and infused into the internal jugular vein cannulae at a flow rate of 50 mL*kg−1*min−1. Sweep gas was 100% oxygen at a flow rate equal to the blood flow rate.", "CRRT was performed in a pre-dilution mode using a polysulfone membrane (1.4 m2 AV 600 s, ultraflux, Germany) connected to a continuous blood pump (Baxter BM 25, Baxter SAN Germany). CRRT was performed with zero-balanced continuous venovenous hemofiltration (CVVH) at a blood flow of 160-180 mL/min and an ultrafiltration rate of 35 mL*kg−1*h−1. A lactate-buffered replacement fluid (deploy Jingling prescription, China) was administered in a post-dilutional fashion.", "The inlet (arterial) line of the CRRT circuit was connected after oxygenator by a three-way tap and the outlet (venous) line was connected to the circuit at another tap on infusing cannula. The filters were unchanged during 24 hours each time.", "1. Histology examination and score\nTissue samples from the jejunum, ileum and colon were fixed and dehydrated with 10% formalin, embedded in paraffin, cutted into sections, stained with hematoxylin and eosin (H and E staining), and observed in 100-times by an optical microscopy (CX41, Olympus, Tokyo, Japan). Four distinct sections of each sample are observed and scored according to Chiu’s scoring standard by two independent pathologist blinded to the grouping [24].\n2. Ultrastructure detection\nFresh intestinal tissues from the jejunum, ileum and colon were flushed with phosphate-buffered saline, cut into pieces (1*1*1 mm), fixed with 2.5% cold glutaraldehyde for 2 h, flushed with phosphate-buffered saline again, fixed with 1% perosmic acid, and dehydrated with acetone. Ultrathin sections were placed on 200-mesh copper grids and double stained with 4% uranyl acetate and 0.2% lead citrate. Sections were examined under transmission electron microscopy (TEM, JEM-1200, Hitachi, Tokyo, Japan). Ultrastructure of tight junction was observed in 10,000-times magnification. The histology and ultrastructure were examined by two independent pathologist blinded to the grouping.", "1. Bacterial translocation\na) Blood bacterial culture: blood samples were placed in agarose-gel plates to aerobic and anaerobic bacterial culture for 24 h for bacterial identification.\nb) Tissue bacterial culture: after animals were euthanized, the liver, spleen, kidney and mesenteric lymphnode were collected by stringent aseptic operation for tissue bacterial culture at 37°C for 24 h (measured by clonal formation unit/gram, CFU/g).\n2. Concentrations of Diamine Oxidase (DAO) and intestinal fatty acid binding protein (I-FABP)\nConcentrations of DAO and I-FABP were used as the markers for the assessment of intestinal epithelial function. Serum and filtrate DAO levels were determined using a spectrophotometry kit (Nanjing Jiancheng Bioengineering Institute,China). Serum and filtrate I-FABP level were tested by enzyme linked immunosorbent assay (ELISA) kit (Wuhan EIAab Science Co., Ltd, China). Spectrophotometry and ELISA was performed according to the manufacturer’s instructions.", "Continuous variables were defined as means ± standard deviation if they were normally distributed,Colonies of tissue bacterial culture were computed by log10. Comparisons between groups for pathological score, colonies of tissue bacterial culture, DAO and I-FABP levels in filtrate were performed by using one-way analysis of variance (ANOVA). In case of statistical significance, post hoc comparisons were made by unpaired samples t-test. Fisher’s exact test was used in blood culture positive rate. Repeated-measures ANOVA were used to analyze DAO and I-FABP variables over time between four groups followed by Bonferroni’s post hoc testing. Statistical comparisons among the groups were performed using two-way ANOVA, followed by unpaired t-tests with Bonferroni’s correction. Statistical significance was accepted for a P-value of 0.05. Statistical analysis was performed using the SPSS statistical package (version17.0; SPSS Inc., Chicago, IL, USA).", "In histology examination, jejunal and ileal mucosa was normal in C group. Jejunal and ileal mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were attenuated in EC group with slight mucosal injury and villi shedding (Figure 1A-H). Normal morphology of colonic mucosa was demolished in E group and slight structural disorder with epithelial atrophy was found in S group. Mucosal damages were relieved back to smooth and integral in EC group similar to C group (Figure 1I-L). Significant difference of pathologic scores was detected among four groups (P < 0.01). Socres of S and E group were markedly higher than C group, disclosing the impairment on intestinal mucosa by invasive manipulation and ECMO therapy (P < 0.01). Score was slightly elevated in E group when compared with S group. Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). It revealed that CRRT could alleviate the ECMO-related morphological distortion of intestial mucosa (Figure 2).\nHistology examination of jejunal, ileal and colonic mucosa with H and E staining under optical microscopy (magnification*100). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I-L: colonic mucosa of C, S, E, EC group. Normal mucosa was viewed in C group. Mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were significantly attenuated in EC group.\nPathological score of jejunal, ileal and colonic mucosa injury. Socres of S and E group were markedly higher than C group (P < 0.01). Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). (Compared to control group, *P < 0.01, ★P < 0.05; compared to S group, ◆P < 0.01; compared to E group, #P < 0.01).\nUnder TEM, almost the same in jejunum, ileum and colon, structural integrity and solid connection of epithelial tight junction and desmosome with smooth microvillus were indicated in C group. Loose epithelial tight junction and sparse villi were found in S group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group. All damages were significantly improved in EC group with solid epithelial tight junction, dense desmosome and tidy villi (Figure 3A-H, J-M). Bacterial invasion into ileal mucosa was clearly observed suggesting a significant increase of intestinal mucosal barrier permeability (Figure 3I).\nUltrastructural detection of jejunal, ileal and colonic mucosa under transmission electron microscopy (magnification*10,000). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I: bacterial invasion into ileal mucosa; J-M: colonic mucosa of C, S, E, EC group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group were significantly improved in EC group.", "Blood bacterial culture was negative in all groups. At 24 h after experiment, positive rate of blood bacterial culture was highest in E group (33.33%), lower in S and EC group (16.67%) and none in C group. No statistical difference was detected by Fisher’s exact test (Table 1). There was significant difference in bacterial culture of liver and mesenteric lymphnode among four groups (P < 0.05), but none in kidney and spleen (P > 0.05). VV ECMO therapy (E group) induced a significant increase of colonies of liver and mesenteric lymphnode bacterial culture than C group (P < 0.01) which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). Colonies of mesenteric lymphnode bacterial culture rose notably in E group (vs S group, P < 0.05) and EC group (vs C group, P < 0.01). Colonies of liver bacterial culture increased mildly in E group (vs S group, P = 0.06) and EC group (vs C group, P = 0.15) (Figure 4).\nSerum bacterial culture\nColonies of bacterial culture in liver, spleen, kidney and mesenteric lymphnode. VV ECMO therapy (E group) induced a significant increase of colonies of bacterial culture in liver and mesenteric lymphnode than C group (P < 0.01), which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). (Compared to control group, *P < 0.01; compared to S group, ◆P < 0.05; compared to E group, #P < 0.05).", "Serum DAO and I-FABP levels did not change over time significantly among 4 groups (P > 0.05). But they differed significantly between groups at the same time point (P < 0.05). Compared with constant low level in C group, S and E group demonstrated notable increase of serum DAO and I-FABP level (P < 0.05, P < 0.01). In EC group, despite initial high level, after 2 h of CRRT serum DAO and I-FABP levels decreased gradually to same level as C group at 24 h, significantly lower than E group (P < 0.01) (Figures 5 and 6). The filtrate DAO and I-FABP levels remained relatively constant throughout the study period, which demonstrated that decreased serum DAO and I-FABP levels in EC group was not due to clearance of CRRT (Figure 7A, B). All the results suggested that the VV ECMO-induced intestinal mucosal barrier dysfunction could be relieved notably with combination of CRRT.\nSerum DAO levels in 4 groups. Serum DAO levels did not change significantly over time (P > 0.05). Compared with notable increase of serum DAO level in E group, it was significantly lower after CRRT for 12 h (P < 0.01). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01).\nSerum I-FABP levels in 4 groups. Serum I-FABP levels did not change significantly over time (P > 0.05). Compared with high serum I-FABP level in E group, it showed significant decrease after CRRT for 12 h (P < 0.05). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01).\nFiltrate DAO and I-FABP level over time. A: Filtrate DAO and I-FABP level over time; B: Filtrate DAO and I-FABP level over time. The filtrate DAO and I-FABP level remained relatively constant throughout the experiment period. (Compared to -1 h, *P < 0.05).", "ECMO: Extracorporeal membrane oxygenation; CRRT: Continuous renal replacement therapies; VV ECMO: Venovenous extracorporeal membrane oxygenation; DAO: Diamine oxidase; I-FABP: Fatty acid binding protein; MODS: Multiple organ dysfunction syndrome; ACT: Activated clotting time; CBP: Continuous blood purification; ROS: Reactive oxygen species; iNOS: Induced nitric oxide synthase; NO: Nitric oxide; SIRS: Systemic inflammatory response syndrome.", "The authors declare that they have no competing interests.", "CH, SY and WY are co-first authors and completed most the scientific work and drafted the manuscript. JS, QC performed the model of ECMO. JS completed the statistic work. YH helped the first authors to finish the study. XW, NL, JL helped to conceptualize and design the study and NL was corresponding author for the paper. All authors read and approved the final manuscript.", "Changsheng He, Shuofei Yang and Wenkui Yu are the co-first authors." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Experimental protocol", "Surgical procedure", "VV-ECMO proceduce", "CRRT setting", "Connecting manner", "Histopathological examination", "Measurement of intestinal barrier function", "Statistical analysis", "Results", "Histology and ultrastructure examination", "Bacterial translocation", "Injury of intestinal epithelial barrier", "Discussion", "Conclusions", "Abbreviations", "Competing interests", "Authors’ contributions", "Authors’ information" ]
[ "Extracorporeal membrane oxygenation (ECMO) has been considered as an effective means of treatment to unresponsive pulmonary hypertension, respiratory failure, sepsis, and emergency temporary cardiac support for almost 60 years [1,2]. With superiority for moribund patients, venovenous extracorporeal membrane oxygenation (VV ECMO) is recommended to support patients with severe but potentially reversible respiratory failure refractory to conventional therapy [3-6]. The encouraging results in the CESAR trial and remarkable effect of ECMO in 2009 H1N1 and 2013 H7N9 pandemichas brought it into the spotlight worldwide [7-10]. However, direct circulation of blood across synthetic surfaces escalates a pro-inflammatory response, further exacerbating a disease process that is already associated with the activation of the inflammatory cascade [11]. With much wider range of use, concerns remain about the near-universal occurrence of systemic inflammatory response syndrome (SIRS) during ECMO associated with considerable morbidity [12-17]. Intestine is the central part of systemic SIRS and a motor of multiple organ dysfunction syndrome (MODS) [18]. Rapid rise of plasma concentrations of inflammatory cytokines during ECMO-related SIRS is due to the release of pre-formed stores in the intestine [19]. Breakdown of mucosal barrier during ECMO increases intestinal permeability and allows translocation of intraluminal bacteria across the mucosa leading to distant organ injury [15]. Strategies to protect gut barrier function and thereby prevent bacterial translocation during ECMO merit comprehensive and further explorations.\nContinuous renal replacement therapy (CRRT) shows remarkable advantages in eliminating inflammatory mediators, dampening inflammatory response, preserving organ function and maintaining optimal fluid status during ECMO with well clinical tolerance in a hemodynamically unstable condition [20-22]. ECMO-associated organ lesion of myocardium and kidney was proven to be extenuated with CRRT [23]. As far as we know, this is the first study designed to investigate whether CRRT could alleviate the gut mucosal dysfunction and intestinal epithelial barrier loss in a swine model so as to provide an approach to improve the clinical effect and relieve the risk of VV ECMO therapy.", "This study was approved by the Institutional Animal Care and Use Committee of Jingling Hospital in Nanjing, Jiangsu, China. Experiments were performed according to the National Institutes of Health Guidelines on the use of laboratory animals.\n Experimental protocol The 24 piglets weight of 27.46 ± 4.45 Kg (25-32 Kg) of either sex were randomly allocated to 4 groups: control group (C group), sham group (S group, to verify whether the required ECMO operative procedure affected the results), VV-ECMO group (E group), VV-ECMO combined with CRRT group (EC group). All piglets were fasted for 24 h before experiments. Each animal received lactated Ringer’s solution at a rate of 3 mL*kg−1*h−1 and bolus fluid was provided as required to maintain MAP above 60 mmHg. Temperature, serum pH, glucose, and ionized calcium concentration were monitored and maintained normally. All animals were monitored for 24 h. After heparin (150 U/kg IV) was given as a bolus to the sham, ECMO and ECMO + CRRT groups, placement of cannula was performed and confirmed by ultrasonograph. The control group got no operation and treatment. In sham group, the vascular venous cannula was occluded at 0 hour. In ECMO group, ECMO was instituted with cannulae insertion. In ECMO + CRRT group, ECMO and CRRT were initiated at the same time upon cannulae insertion. The blood and tissue samples were collected 1 h before and 2 h, 6 h, 12 h and 24 h after experiment. At the end of experiments, piglets were euthanized with a bolus injection of potassium chloride (40 mL, 0.1 g/mL).\nThe 24 piglets weight of 27.46 ± 4.45 Kg (25-32 Kg) of either sex were randomly allocated to 4 groups: control group (C group), sham group (S group, to verify whether the required ECMO operative procedure affected the results), VV-ECMO group (E group), VV-ECMO combined with CRRT group (EC group). All piglets were fasted for 24 h before experiments. Each animal received lactated Ringer’s solution at a rate of 3 mL*kg−1*h−1 and bolus fluid was provided as required to maintain MAP above 60 mmHg. Temperature, serum pH, glucose, and ionized calcium concentration were monitored and maintained normally. All animals were monitored for 24 h. After heparin (150 U/kg IV) was given as a bolus to the sham, ECMO and ECMO + CRRT groups, placement of cannula was performed and confirmed by ultrasonograph. The control group got no operation and treatment. In sham group, the vascular venous cannula was occluded at 0 hour. In ECMO group, ECMO was instituted with cannulae insertion. In ECMO + CRRT group, ECMO and CRRT were initiated at the same time upon cannulae insertion. The blood and tissue samples were collected 1 h before and 2 h, 6 h, 12 h and 24 h after experiment. At the end of experiments, piglets were euthanized with a bolus injection of potassium chloride (40 mL, 0.1 g/mL).\n Surgical procedure Anesthesia was induced with ketamine (20 mg/kg), diazepam (8 mg/kg), and atropine (0.1 mg/kg) intramuscularly and then maintained with ketamine (10–20 mg*kg−1*h−1) and diazepam (8 mg*kg−1*h−1) intravenously. The animals were intubated through a cervical tracheotomy and then mechanical ventilation (TBird VELA, USA) was established using volume-controlled mode with FiO2 of 21% and a positive end-expiratory pressure set at 5 mmHg throughout the experimental period. Tidal volumes were adjusted to 5-8 mL/kg. Respiratory rate was set at 15/min. Internal jugular vein and femoral vein catheters were placed for intravenous access, sample collection and connected to a medical monitor (Model90207, Spacelabs, USA).\nAnesthesia was induced with ketamine (20 mg/kg), diazepam (8 mg/kg), and atropine (0.1 mg/kg) intramuscularly and then maintained with ketamine (10–20 mg*kg−1*h−1) and diazepam (8 mg*kg−1*h−1) intravenously. The animals were intubated through a cervical tracheotomy and then mechanical ventilation (TBird VELA, USA) was established using volume-controlled mode with FiO2 of 21% and a positive end-expiratory pressure set at 5 mmHg throughout the experimental period. Tidal volumes were adjusted to 5-8 mL/kg. Respiratory rate was set at 15/min. Internal jugular vein and femoral vein catheters were placed for intravenous access, sample collection and connected to a medical monitor (Model90207, Spacelabs, USA).\n VV-ECMO proceduce After a 150 U/kg intravenous bolus of heparin, ECMO cannulae (15-Fr, Medtronic, USA) were placed in the superior vena cava through the internal jugular vein and inferior vena cava through the femoral vein. Placement of cannulae was confirmed under guidance of ultrasonograph. Heparin was continuously infused to keep the activated clotting time (ACT) at 180 to 220 s during the process of ECMO. The ECMO system consisted of a membrane oxygenator and tubing (Quadrox PLS, Maquet, Germany), a centrifugal pump (Rotaflow Console, Maquet, Germany), and a heat exchange maintaining temperature at 37°C (Heater–Cooler Unit HCU 30, Maquet, Germany). The circuit was primed with 500 mL hydroxyethyl starch 130/0.4 and 200-300 mL Ringer’s lactate. Blood in circuit was drained from the femoral vein cannulae and infused into the internal jugular vein cannulae at a flow rate of 50 mL*kg−1*min−1. Sweep gas was 100% oxygen at a flow rate equal to the blood flow rate.\nAfter a 150 U/kg intravenous bolus of heparin, ECMO cannulae (15-Fr, Medtronic, USA) were placed in the superior vena cava through the internal jugular vein and inferior vena cava through the femoral vein. Placement of cannulae was confirmed under guidance of ultrasonograph. Heparin was continuously infused to keep the activated clotting time (ACT) at 180 to 220 s during the process of ECMO. The ECMO system consisted of a membrane oxygenator and tubing (Quadrox PLS, Maquet, Germany), a centrifugal pump (Rotaflow Console, Maquet, Germany), and a heat exchange maintaining temperature at 37°C (Heater–Cooler Unit HCU 30, Maquet, Germany). The circuit was primed with 500 mL hydroxyethyl starch 130/0.4 and 200-300 mL Ringer’s lactate. Blood in circuit was drained from the femoral vein cannulae and infused into the internal jugular vein cannulae at a flow rate of 50 mL*kg−1*min−1. Sweep gas was 100% oxygen at a flow rate equal to the blood flow rate.\n CRRT setting CRRT was performed in a pre-dilution mode using a polysulfone membrane (1.4 m2 AV 600 s, ultraflux, Germany) connected to a continuous blood pump (Baxter BM 25, Baxter SAN Germany). CRRT was performed with zero-balanced continuous venovenous hemofiltration (CVVH) at a blood flow of 160-180 mL/min and an ultrafiltration rate of 35 mL*kg−1*h−1. A lactate-buffered replacement fluid (deploy Jingling prescription, China) was administered in a post-dilutional fashion.\nCRRT was performed in a pre-dilution mode using a polysulfone membrane (1.4 m2 AV 600 s, ultraflux, Germany) connected to a continuous blood pump (Baxter BM 25, Baxter SAN Germany). CRRT was performed with zero-balanced continuous venovenous hemofiltration (CVVH) at a blood flow of 160-180 mL/min and an ultrafiltration rate of 35 mL*kg−1*h−1. A lactate-buffered replacement fluid (deploy Jingling prescription, China) was administered in a post-dilutional fashion.\n Connecting manner The inlet (arterial) line of the CRRT circuit was connected after oxygenator by a three-way tap and the outlet (venous) line was connected to the circuit at another tap on infusing cannula. The filters were unchanged during 24 hours each time.\nThe inlet (arterial) line of the CRRT circuit was connected after oxygenator by a three-way tap and the outlet (venous) line was connected to the circuit at another tap on infusing cannula. The filters were unchanged during 24 hours each time.\n Histopathological examination 1. Histology examination and score\nTissue samples from the jejunum, ileum and colon were fixed and dehydrated with 10% formalin, embedded in paraffin, cutted into sections, stained with hematoxylin and eosin (H and E staining), and observed in 100-times by an optical microscopy (CX41, Olympus, Tokyo, Japan). Four distinct sections of each sample are observed and scored according to Chiu’s scoring standard by two independent pathologist blinded to the grouping [24].\n2. Ultrastructure detection\nFresh intestinal tissues from the jejunum, ileum and colon were flushed with phosphate-buffered saline, cut into pieces (1*1*1 mm), fixed with 2.5% cold glutaraldehyde for 2 h, flushed with phosphate-buffered saline again, fixed with 1% perosmic acid, and dehydrated with acetone. Ultrathin sections were placed on 200-mesh copper grids and double stained with 4% uranyl acetate and 0.2% lead citrate. Sections were examined under transmission electron microscopy (TEM, JEM-1200, Hitachi, Tokyo, Japan). Ultrastructure of tight junction was observed in 10,000-times magnification. The histology and ultrastructure were examined by two independent pathologist blinded to the grouping.\n1. Histology examination and score\nTissue samples from the jejunum, ileum and colon were fixed and dehydrated with 10% formalin, embedded in paraffin, cutted into sections, stained with hematoxylin and eosin (H and E staining), and observed in 100-times by an optical microscopy (CX41, Olympus, Tokyo, Japan). Four distinct sections of each sample are observed and scored according to Chiu’s scoring standard by two independent pathologist blinded to the grouping [24].\n2. Ultrastructure detection\nFresh intestinal tissues from the jejunum, ileum and colon were flushed with phosphate-buffered saline, cut into pieces (1*1*1 mm), fixed with 2.5% cold glutaraldehyde for 2 h, flushed with phosphate-buffered saline again, fixed with 1% perosmic acid, and dehydrated with acetone. Ultrathin sections were placed on 200-mesh copper grids and double stained with 4% uranyl acetate and 0.2% lead citrate. Sections were examined under transmission electron microscopy (TEM, JEM-1200, Hitachi, Tokyo, Japan). Ultrastructure of tight junction was observed in 10,000-times magnification. The histology and ultrastructure were examined by two independent pathologist blinded to the grouping.\n Measurement of intestinal barrier function 1. Bacterial translocation\na) Blood bacterial culture: blood samples were placed in agarose-gel plates to aerobic and anaerobic bacterial culture for 24 h for bacterial identification.\nb) Tissue bacterial culture: after animals were euthanized, the liver, spleen, kidney and mesenteric lymphnode were collected by stringent aseptic operation for tissue bacterial culture at 37°C for 24 h (measured by clonal formation unit/gram, CFU/g).\n2. Concentrations of Diamine Oxidase (DAO) and intestinal fatty acid binding protein (I-FABP)\nConcentrations of DAO and I-FABP were used as the markers for the assessment of intestinal epithelial function. Serum and filtrate DAO levels were determined using a spectrophotometry kit (Nanjing Jiancheng Bioengineering Institute,China). Serum and filtrate I-FABP level were tested by enzyme linked immunosorbent assay (ELISA) kit (Wuhan EIAab Science Co., Ltd, China). Spectrophotometry and ELISA was performed according to the manufacturer’s instructions.\n1. Bacterial translocation\na) Blood bacterial culture: blood samples were placed in agarose-gel plates to aerobic and anaerobic bacterial culture for 24 h for bacterial identification.\nb) Tissue bacterial culture: after animals were euthanized, the liver, spleen, kidney and mesenteric lymphnode were collected by stringent aseptic operation for tissue bacterial culture at 37°C for 24 h (measured by clonal formation unit/gram, CFU/g).\n2. Concentrations of Diamine Oxidase (DAO) and intestinal fatty acid binding protein (I-FABP)\nConcentrations of DAO and I-FABP were used as the markers for the assessment of intestinal epithelial function. Serum and filtrate DAO levels were determined using a spectrophotometry kit (Nanjing Jiancheng Bioengineering Institute,China). Serum and filtrate I-FABP level were tested by enzyme linked immunosorbent assay (ELISA) kit (Wuhan EIAab Science Co., Ltd, China). Spectrophotometry and ELISA was performed according to the manufacturer’s instructions.\n Statistical analysis Continuous variables were defined as means ± standard deviation if they were normally distributed,Colonies of tissue bacterial culture were computed by log10. Comparisons between groups for pathological score, colonies of tissue bacterial culture, DAO and I-FABP levels in filtrate were performed by using one-way analysis of variance (ANOVA). In case of statistical significance, post hoc comparisons were made by unpaired samples t-test. Fisher’s exact test was used in blood culture positive rate. Repeated-measures ANOVA were used to analyze DAO and I-FABP variables over time between four groups followed by Bonferroni’s post hoc testing. Statistical comparisons among the groups were performed using two-way ANOVA, followed by unpaired t-tests with Bonferroni’s correction. Statistical significance was accepted for a P-value of 0.05. Statistical analysis was performed using the SPSS statistical package (version17.0; SPSS Inc., Chicago, IL, USA).\nContinuous variables were defined as means ± standard deviation if they were normally distributed,Colonies of tissue bacterial culture were computed by log10. Comparisons between groups for pathological score, colonies of tissue bacterial culture, DAO and I-FABP levels in filtrate were performed by using one-way analysis of variance (ANOVA). In case of statistical significance, post hoc comparisons were made by unpaired samples t-test. Fisher’s exact test was used in blood culture positive rate. Repeated-measures ANOVA were used to analyze DAO and I-FABP variables over time between four groups followed by Bonferroni’s post hoc testing. Statistical comparisons among the groups were performed using two-way ANOVA, followed by unpaired t-tests with Bonferroni’s correction. Statistical significance was accepted for a P-value of 0.05. Statistical analysis was performed using the SPSS statistical package (version17.0; SPSS Inc., Chicago, IL, USA).", "The 24 piglets weight of 27.46 ± 4.45 Kg (25-32 Kg) of either sex were randomly allocated to 4 groups: control group (C group), sham group (S group, to verify whether the required ECMO operative procedure affected the results), VV-ECMO group (E group), VV-ECMO combined with CRRT group (EC group). All piglets were fasted for 24 h before experiments. Each animal received lactated Ringer’s solution at a rate of 3 mL*kg−1*h−1 and bolus fluid was provided as required to maintain MAP above 60 mmHg. Temperature, serum pH, glucose, and ionized calcium concentration were monitored and maintained normally. All animals were monitored for 24 h. After heparin (150 U/kg IV) was given as a bolus to the sham, ECMO and ECMO + CRRT groups, placement of cannula was performed and confirmed by ultrasonograph. The control group got no operation and treatment. In sham group, the vascular venous cannula was occluded at 0 hour. In ECMO group, ECMO was instituted with cannulae insertion. In ECMO + CRRT group, ECMO and CRRT were initiated at the same time upon cannulae insertion. The blood and tissue samples were collected 1 h before and 2 h, 6 h, 12 h and 24 h after experiment. At the end of experiments, piglets were euthanized with a bolus injection of potassium chloride (40 mL, 0.1 g/mL).", "Anesthesia was induced with ketamine (20 mg/kg), diazepam (8 mg/kg), and atropine (0.1 mg/kg) intramuscularly and then maintained with ketamine (10–20 mg*kg−1*h−1) and diazepam (8 mg*kg−1*h−1) intravenously. The animals were intubated through a cervical tracheotomy and then mechanical ventilation (TBird VELA, USA) was established using volume-controlled mode with FiO2 of 21% and a positive end-expiratory pressure set at 5 mmHg throughout the experimental period. Tidal volumes were adjusted to 5-8 mL/kg. Respiratory rate was set at 15/min. Internal jugular vein and femoral vein catheters were placed for intravenous access, sample collection and connected to a medical monitor (Model90207, Spacelabs, USA).", "After a 150 U/kg intravenous bolus of heparin, ECMO cannulae (15-Fr, Medtronic, USA) were placed in the superior vena cava through the internal jugular vein and inferior vena cava through the femoral vein. Placement of cannulae was confirmed under guidance of ultrasonograph. Heparin was continuously infused to keep the activated clotting time (ACT) at 180 to 220 s during the process of ECMO. The ECMO system consisted of a membrane oxygenator and tubing (Quadrox PLS, Maquet, Germany), a centrifugal pump (Rotaflow Console, Maquet, Germany), and a heat exchange maintaining temperature at 37°C (Heater–Cooler Unit HCU 30, Maquet, Germany). The circuit was primed with 500 mL hydroxyethyl starch 130/0.4 and 200-300 mL Ringer’s lactate. Blood in circuit was drained from the femoral vein cannulae and infused into the internal jugular vein cannulae at a flow rate of 50 mL*kg−1*min−1. Sweep gas was 100% oxygen at a flow rate equal to the blood flow rate.", "CRRT was performed in a pre-dilution mode using a polysulfone membrane (1.4 m2 AV 600 s, ultraflux, Germany) connected to a continuous blood pump (Baxter BM 25, Baxter SAN Germany). CRRT was performed with zero-balanced continuous venovenous hemofiltration (CVVH) at a blood flow of 160-180 mL/min and an ultrafiltration rate of 35 mL*kg−1*h−1. A lactate-buffered replacement fluid (deploy Jingling prescription, China) was administered in a post-dilutional fashion.", "The inlet (arterial) line of the CRRT circuit was connected after oxygenator by a three-way tap and the outlet (venous) line was connected to the circuit at another tap on infusing cannula. The filters were unchanged during 24 hours each time.", "1. Histology examination and score\nTissue samples from the jejunum, ileum and colon were fixed and dehydrated with 10% formalin, embedded in paraffin, cutted into sections, stained with hematoxylin and eosin (H and E staining), and observed in 100-times by an optical microscopy (CX41, Olympus, Tokyo, Japan). Four distinct sections of each sample are observed and scored according to Chiu’s scoring standard by two independent pathologist blinded to the grouping [24].\n2. Ultrastructure detection\nFresh intestinal tissues from the jejunum, ileum and colon were flushed with phosphate-buffered saline, cut into pieces (1*1*1 mm), fixed with 2.5% cold glutaraldehyde for 2 h, flushed with phosphate-buffered saline again, fixed with 1% perosmic acid, and dehydrated with acetone. Ultrathin sections were placed on 200-mesh copper grids and double stained with 4% uranyl acetate and 0.2% lead citrate. Sections were examined under transmission electron microscopy (TEM, JEM-1200, Hitachi, Tokyo, Japan). Ultrastructure of tight junction was observed in 10,000-times magnification. The histology and ultrastructure were examined by two independent pathologist blinded to the grouping.", "1. Bacterial translocation\na) Blood bacterial culture: blood samples were placed in agarose-gel plates to aerobic and anaerobic bacterial culture for 24 h for bacterial identification.\nb) Tissue bacterial culture: after animals were euthanized, the liver, spleen, kidney and mesenteric lymphnode were collected by stringent aseptic operation for tissue bacterial culture at 37°C for 24 h (measured by clonal formation unit/gram, CFU/g).\n2. Concentrations of Diamine Oxidase (DAO) and intestinal fatty acid binding protein (I-FABP)\nConcentrations of DAO and I-FABP were used as the markers for the assessment of intestinal epithelial function. Serum and filtrate DAO levels were determined using a spectrophotometry kit (Nanjing Jiancheng Bioengineering Institute,China). Serum and filtrate I-FABP level were tested by enzyme linked immunosorbent assay (ELISA) kit (Wuhan EIAab Science Co., Ltd, China). Spectrophotometry and ELISA was performed according to the manufacturer’s instructions.", "Continuous variables were defined as means ± standard deviation if they were normally distributed,Colonies of tissue bacterial culture were computed by log10. Comparisons between groups for pathological score, colonies of tissue bacterial culture, DAO and I-FABP levels in filtrate were performed by using one-way analysis of variance (ANOVA). In case of statistical significance, post hoc comparisons were made by unpaired samples t-test. Fisher’s exact test was used in blood culture positive rate. Repeated-measures ANOVA were used to analyze DAO and I-FABP variables over time between four groups followed by Bonferroni’s post hoc testing. Statistical comparisons among the groups were performed using two-way ANOVA, followed by unpaired t-tests with Bonferroni’s correction. Statistical significance was accepted for a P-value of 0.05. Statistical analysis was performed using the SPSS statistical package (version17.0; SPSS Inc., Chicago, IL, USA).", "No significant differences were detected in body weight and other characteristics among groups.\n Histology and ultrastructure examination In histology examination, jejunal and ileal mucosa was normal in C group. Jejunal and ileal mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were attenuated in EC group with slight mucosal injury and villi shedding (Figure 1A-H). Normal morphology of colonic mucosa was demolished in E group and slight structural disorder with epithelial atrophy was found in S group. Mucosal damages were relieved back to smooth and integral in EC group similar to C group (Figure 1I-L). Significant difference of pathologic scores was detected among four groups (P < 0.01). Socres of S and E group were markedly higher than C group, disclosing the impairment on intestinal mucosa by invasive manipulation and ECMO therapy (P < 0.01). Score was slightly elevated in E group when compared with S group. Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). It revealed that CRRT could alleviate the ECMO-related morphological distortion of intestial mucosa (Figure 2).\nHistology examination of jejunal, ileal and colonic mucosa with H and E staining under optical microscopy (magnification*100). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I-L: colonic mucosa of C, S, E, EC group. Normal mucosa was viewed in C group. Mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were significantly attenuated in EC group.\nPathological score of jejunal, ileal and colonic mucosa injury. Socres of S and E group were markedly higher than C group (P < 0.01). Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). (Compared to control group, *P < 0.01, ★P < 0.05; compared to S group, ◆P < 0.01; compared to E group, #P < 0.01).\nUnder TEM, almost the same in jejunum, ileum and colon, structural integrity and solid connection of epithelial tight junction and desmosome with smooth microvillus were indicated in C group. Loose epithelial tight junction and sparse villi were found in S group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group. All damages were significantly improved in EC group with solid epithelial tight junction, dense desmosome and tidy villi (Figure 3A-H, J-M). Bacterial invasion into ileal mucosa was clearly observed suggesting a significant increase of intestinal mucosal barrier permeability (Figure 3I).\nUltrastructural detection of jejunal, ileal and colonic mucosa under transmission electron microscopy (magnification*10,000). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I: bacterial invasion into ileal mucosa; J-M: colonic mucosa of C, S, E, EC group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group were significantly improved in EC group.\nIn histology examination, jejunal and ileal mucosa was normal in C group. Jejunal and ileal mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were attenuated in EC group with slight mucosal injury and villi shedding (Figure 1A-H). Normal morphology of colonic mucosa was demolished in E group and slight structural disorder with epithelial atrophy was found in S group. Mucosal damages were relieved back to smooth and integral in EC group similar to C group (Figure 1I-L). Significant difference of pathologic scores was detected among four groups (P < 0.01). Socres of S and E group were markedly higher than C group, disclosing the impairment on intestinal mucosa by invasive manipulation and ECMO therapy (P < 0.01). Score was slightly elevated in E group when compared with S group. Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). It revealed that CRRT could alleviate the ECMO-related morphological distortion of intestial mucosa (Figure 2).\nHistology examination of jejunal, ileal and colonic mucosa with H and E staining under optical microscopy (magnification*100). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I-L: colonic mucosa of C, S, E, EC group. Normal mucosa was viewed in C group. Mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were significantly attenuated in EC group.\nPathological score of jejunal, ileal and colonic mucosa injury. Socres of S and E group were markedly higher than C group (P < 0.01). Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). (Compared to control group, *P < 0.01, ★P < 0.05; compared to S group, ◆P < 0.01; compared to E group, #P < 0.01).\nUnder TEM, almost the same in jejunum, ileum and colon, structural integrity and solid connection of epithelial tight junction and desmosome with smooth microvillus were indicated in C group. Loose epithelial tight junction and sparse villi were found in S group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group. All damages were significantly improved in EC group with solid epithelial tight junction, dense desmosome and tidy villi (Figure 3A-H, J-M). Bacterial invasion into ileal mucosa was clearly observed suggesting a significant increase of intestinal mucosal barrier permeability (Figure 3I).\nUltrastructural detection of jejunal, ileal and colonic mucosa under transmission electron microscopy (magnification*10,000). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I: bacterial invasion into ileal mucosa; J-M: colonic mucosa of C, S, E, EC group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group were significantly improved in EC group.\n Bacterial translocation Blood bacterial culture was negative in all groups. At 24 h after experiment, positive rate of blood bacterial culture was highest in E group (33.33%), lower in S and EC group (16.67%) and none in C group. No statistical difference was detected by Fisher’s exact test (Table 1). There was significant difference in bacterial culture of liver and mesenteric lymphnode among four groups (P < 0.05), but none in kidney and spleen (P > 0.05). VV ECMO therapy (E group) induced a significant increase of colonies of liver and mesenteric lymphnode bacterial culture than C group (P < 0.01) which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). Colonies of mesenteric lymphnode bacterial culture rose notably in E group (vs S group, P < 0.05) and EC group (vs C group, P < 0.01). Colonies of liver bacterial culture increased mildly in E group (vs S group, P = 0.06) and EC group (vs C group, P = 0.15) (Figure 4).\nSerum bacterial culture\nColonies of bacterial culture in liver, spleen, kidney and mesenteric lymphnode. VV ECMO therapy (E group) induced a significant increase of colonies of bacterial culture in liver and mesenteric lymphnode than C group (P < 0.01), which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). (Compared to control group, *P < 0.01; compared to S group, ◆P < 0.05; compared to E group, #P < 0.05).\nBlood bacterial culture was negative in all groups. At 24 h after experiment, positive rate of blood bacterial culture was highest in E group (33.33%), lower in S and EC group (16.67%) and none in C group. No statistical difference was detected by Fisher’s exact test (Table 1). There was significant difference in bacterial culture of liver and mesenteric lymphnode among four groups (P < 0.05), but none in kidney and spleen (P > 0.05). VV ECMO therapy (E group) induced a significant increase of colonies of liver and mesenteric lymphnode bacterial culture than C group (P < 0.01) which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). Colonies of mesenteric lymphnode bacterial culture rose notably in E group (vs S group, P < 0.05) and EC group (vs C group, P < 0.01). Colonies of liver bacterial culture increased mildly in E group (vs S group, P = 0.06) and EC group (vs C group, P = 0.15) (Figure 4).\nSerum bacterial culture\nColonies of bacterial culture in liver, spleen, kidney and mesenteric lymphnode. VV ECMO therapy (E group) induced a significant increase of colonies of bacterial culture in liver and mesenteric lymphnode than C group (P < 0.01), which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). (Compared to control group, *P < 0.01; compared to S group, ◆P < 0.05; compared to E group, #P < 0.05).\n Injury of intestinal epithelial barrier Serum DAO and I-FABP levels did not change over time significantly among 4 groups (P > 0.05). But they differed significantly between groups at the same time point (P < 0.05). Compared with constant low level in C group, S and E group demonstrated notable increase of serum DAO and I-FABP level (P < 0.05, P < 0.01). In EC group, despite initial high level, after 2 h of CRRT serum DAO and I-FABP levels decreased gradually to same level as C group at 24 h, significantly lower than E group (P < 0.01) (Figures 5 and 6). The filtrate DAO and I-FABP levels remained relatively constant throughout the study period, which demonstrated that decreased serum DAO and I-FABP levels in EC group was not due to clearance of CRRT (Figure 7A, B). All the results suggested that the VV ECMO-induced intestinal mucosal barrier dysfunction could be relieved notably with combination of CRRT.\nSerum DAO levels in 4 groups. Serum DAO levels did not change significantly over time (P > 0.05). Compared with notable increase of serum DAO level in E group, it was significantly lower after CRRT for 12 h (P < 0.01). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01).\nSerum I-FABP levels in 4 groups. Serum I-FABP levels did not change significantly over time (P > 0.05). Compared with high serum I-FABP level in E group, it showed significant decrease after CRRT for 12 h (P < 0.05). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01).\nFiltrate DAO and I-FABP level over time. A: Filtrate DAO and I-FABP level over time; B: Filtrate DAO and I-FABP level over time. The filtrate DAO and I-FABP level remained relatively constant throughout the experiment period. (Compared to -1 h, *P < 0.05).\nSerum DAO and I-FABP levels did not change over time significantly among 4 groups (P > 0.05). But they differed significantly between groups at the same time point (P < 0.05). Compared with constant low level in C group, S and E group demonstrated notable increase of serum DAO and I-FABP level (P < 0.05, P < 0.01). In EC group, despite initial high level, after 2 h of CRRT serum DAO and I-FABP levels decreased gradually to same level as C group at 24 h, significantly lower than E group (P < 0.01) (Figures 5 and 6). The filtrate DAO and I-FABP levels remained relatively constant throughout the study period, which demonstrated that decreased serum DAO and I-FABP levels in EC group was not due to clearance of CRRT (Figure 7A, B). All the results suggested that the VV ECMO-induced intestinal mucosal barrier dysfunction could be relieved notably with combination of CRRT.\nSerum DAO levels in 4 groups. Serum DAO levels did not change significantly over time (P > 0.05). Compared with notable increase of serum DAO level in E group, it was significantly lower after CRRT for 12 h (P < 0.01). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01).\nSerum I-FABP levels in 4 groups. Serum I-FABP levels did not change significantly over time (P > 0.05). Compared with high serum I-FABP level in E group, it showed significant decrease after CRRT for 12 h (P < 0.05). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01).\nFiltrate DAO and I-FABP level over time. A: Filtrate DAO and I-FABP level over time; B: Filtrate DAO and I-FABP level over time. The filtrate DAO and I-FABP level remained relatively constant throughout the experiment period. (Compared to -1 h, *P < 0.05).", "In histology examination, jejunal and ileal mucosa was normal in C group. Jejunal and ileal mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were attenuated in EC group with slight mucosal injury and villi shedding (Figure 1A-H). Normal morphology of colonic mucosa was demolished in E group and slight structural disorder with epithelial atrophy was found in S group. Mucosal damages were relieved back to smooth and integral in EC group similar to C group (Figure 1I-L). Significant difference of pathologic scores was detected among four groups (P < 0.01). Socres of S and E group were markedly higher than C group, disclosing the impairment on intestinal mucosa by invasive manipulation and ECMO therapy (P < 0.01). Score was slightly elevated in E group when compared with S group. Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). It revealed that CRRT could alleviate the ECMO-related morphological distortion of intestial mucosa (Figure 2).\nHistology examination of jejunal, ileal and colonic mucosa with H and E staining under optical microscopy (magnification*100). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I-L: colonic mucosa of C, S, E, EC group. Normal mucosa was viewed in C group. Mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were significantly attenuated in EC group.\nPathological score of jejunal, ileal and colonic mucosa injury. Socres of S and E group were markedly higher than C group (P < 0.01). Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). (Compared to control group, *P < 0.01, ★P < 0.05; compared to S group, ◆P < 0.01; compared to E group, #P < 0.01).\nUnder TEM, almost the same in jejunum, ileum and colon, structural integrity and solid connection of epithelial tight junction and desmosome with smooth microvillus were indicated in C group. Loose epithelial tight junction and sparse villi were found in S group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group. All damages were significantly improved in EC group with solid epithelial tight junction, dense desmosome and tidy villi (Figure 3A-H, J-M). Bacterial invasion into ileal mucosa was clearly observed suggesting a significant increase of intestinal mucosal barrier permeability (Figure 3I).\nUltrastructural detection of jejunal, ileal and colonic mucosa under transmission electron microscopy (magnification*10,000). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I: bacterial invasion into ileal mucosa; J-M: colonic mucosa of C, S, E, EC group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group were significantly improved in EC group.", "Blood bacterial culture was negative in all groups. At 24 h after experiment, positive rate of blood bacterial culture was highest in E group (33.33%), lower in S and EC group (16.67%) and none in C group. No statistical difference was detected by Fisher’s exact test (Table 1). There was significant difference in bacterial culture of liver and mesenteric lymphnode among four groups (P < 0.05), but none in kidney and spleen (P > 0.05). VV ECMO therapy (E group) induced a significant increase of colonies of liver and mesenteric lymphnode bacterial culture than C group (P < 0.01) which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). Colonies of mesenteric lymphnode bacterial culture rose notably in E group (vs S group, P < 0.05) and EC group (vs C group, P < 0.01). Colonies of liver bacterial culture increased mildly in E group (vs S group, P = 0.06) and EC group (vs C group, P = 0.15) (Figure 4).\nSerum bacterial culture\nColonies of bacterial culture in liver, spleen, kidney and mesenteric lymphnode. VV ECMO therapy (E group) induced a significant increase of colonies of bacterial culture in liver and mesenteric lymphnode than C group (P < 0.01), which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). (Compared to control group, *P < 0.01; compared to S group, ◆P < 0.05; compared to E group, #P < 0.05).", "Serum DAO and I-FABP levels did not change over time significantly among 4 groups (P > 0.05). But they differed significantly between groups at the same time point (P < 0.05). Compared with constant low level in C group, S and E group demonstrated notable increase of serum DAO and I-FABP level (P < 0.05, P < 0.01). In EC group, despite initial high level, after 2 h of CRRT serum DAO and I-FABP levels decreased gradually to same level as C group at 24 h, significantly lower than E group (P < 0.01) (Figures 5 and 6). The filtrate DAO and I-FABP levels remained relatively constant throughout the study period, which demonstrated that decreased serum DAO and I-FABP levels in EC group was not due to clearance of CRRT (Figure 7A, B). All the results suggested that the VV ECMO-induced intestinal mucosal barrier dysfunction could be relieved notably with combination of CRRT.\nSerum DAO levels in 4 groups. Serum DAO levels did not change significantly over time (P > 0.05). Compared with notable increase of serum DAO level in E group, it was significantly lower after CRRT for 12 h (P < 0.01). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01).\nSerum I-FABP levels in 4 groups. Serum I-FABP levels did not change significantly over time (P > 0.05). Compared with high serum I-FABP level in E group, it showed significant decrease after CRRT for 12 h (P < 0.05). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01).\nFiltrate DAO and I-FABP level over time. A: Filtrate DAO and I-FABP level over time; B: Filtrate DAO and I-FABP level over time. The filtrate DAO and I-FABP level remained relatively constant throughout the experiment period. (Compared to -1 h, *P < 0.05).", "To date, our findings are the first in vivo animal experiment in an VV ECMO model to demonstrate the protective effect of CRRT on intestinal mucosal barrier dysfunction secondary to ECMO-induced SIRS. During ECMO, huge disparity between the patient’s circulating blood volume and circuit volumes, often 200–300% greater than patient’s circulating blood volume, increases the activation of various blood components upon long exposure to the artificial material surface of the ECMO circuit leading to changes of blood constituent and SIRS [15,25]. This inflammatory response usually manifests within the first few hours of ECMO with hypotension, decreased urine output and lung compliance, anasarca and liver dysfunction [26]. These changes often persist for several days with delayed recovery and prolonged ECMO therapy. A reciprocal causation is found between intestinal mucosal barrier dysfunction and inflammatory cytokine storm. Rapid rise of inflammatory cytokines during ECMO-related SIRS was due to the release of pre-formed stores in the intestine [19]. On the other side, loss of intestinal epithelial barrier secondary to ECMO-indeced SIRS has been demonstrated in previous study and similar changes were detected in this study as well [15]. In the present study, bacterial translocation was detected after the initiation of ECMO. Similarly, Hirthler et al. [27] found increased plasma LPS levels in neonates after initiation of ECMO for 36 h. Bacterial translocation due to the increase of gut mucosal permeability in human neonates receiving ECMO has also been noted by Piena et al. [28]. Bacterial products play an important role in initiating and amplifying all the major inflammatory pathways involved in ECMO-related SIRS [29]. Since the early development of intestinal mucosal barrier dysfunction and bacterial translocation on initiation of ECMO, it is more likely that intestinal epithelial barrier injury acts as a primary initiator or amplifier of ECMO-related SIRS rather than an epiphenomenon reflecting loss of mucosal integrity.\nConcentrations of DAO and I-FABP were used as quantitative method to assess the intestinal epithelial function in this study. DAO is a kind of highly-active enzyme weight of 250 kD existed only in intestinal epithelium. About 95% of DAO locates in the intestinal villi of human and other mammals. It will transfer into peripheral blood in a stable state upon intestinal mucosal barrier dysfunction. I-FABP is low-molecular-weight protein specifically located in epithelial cells of small bowel mucosa which is rapidly released into the circulation after injury of intestinal mucosal barrier due to mesenteric ischemia and bowel necrosis [30]. DAO and I-FABP are excellent early marker for evaluating the severity of acute intestinal mucosa injury [31]. In 2004, Nobuo Tsunooka et al. [32] evaluated bacterial translocation secondary to small intestinal mucosal ischemia during cardiopulmonary bypass by serum level of DAO and peptidoglycan. DAO was used as an index of beneficial effect of continuous blood purification (CBP) on gut barrier dysfunction in another study [33]. In our study, after 2 h of CRRT, the intestine mucosal dysfunction indicated by significantly elevated serum level of DAO and I-FABP in E group declined and returned to almost the same level with C group at 24 h. Since the DAO and I-FABP level in filtrate did not elevate as CRRT continued, perhaps reaching a saturation limit, decrease of serum DAO and I-FABP level were due to improvement of intestine mucosal function instead of the clean-up effect.\nBecause of the inherent characteristics of ECMO circuit to activate inflammatory pathways, elucidation of inflammatory pathways by CRRT is a critical step in the development of effective strategy to ECMO-related SIRS [34]. But the definitive mechanism of the protective effects of CRRT to ECMO-induced injury of intestinal epithelial barrier is not yet clear. Intestinal mucosal edema with epithelial swelling, cell-cell gap expanding, tight junction and desmosome loosening was clearly observed during ECMO. Optimal fluid status maintained by CRRT can effectively reduce the high permeability secondary to intestinal mucosal edema. Additionally, direct cytotoxic effects of massive inflammatory cells or cytokines and their role in the development of reactive oxygen species (ROS) and mitochondrial dysfunction may be another main reason for ECMO-associated intestinal epithelial barrier injury [23]. CRRT operates with the ability of inflammatory mediator elimination via several ways, including absorption, diffusion, and convection, dampening inflammatory response to preserve organ function [35,36]. Moreover, CRRT could ameliorate the gut barrier dysfunction by way of attenuating breakdown and reorganization of tight junction protein, such as occludin and zonula occludens-1, with increase of the inflammation-induced nitric oxide synthase (iNOS) mRNA levels and nitric oxide (NO) production which are implicated as factors contributing to cytoskeletal instability and injury [33,37]. Phosphodiesterase inhibition is another possible mechanism of CRRT-mediated attenuation of gut barrier injury [38,39]. Further studies are warrented to identify specific mediators and pathways of the protective effects of CRRT on intestinal epithelial barrier during ECMO.\nA high prevalence of acute renal failure requiring renal replacement therapy in patients treated with ECMO has been observed [40,41]. Expanding CRRT to non-renal indications, such as cardopulmonary bypass and sepsis, based on elimination of inflammatory mediators has been suggested [42]. Our study provides an additional evidence to initiate CRRT during VV ECMO before renal dysfunction. However, there are some underlying matters and limitations of this study. Similar to other studies, our experimental timeline spanned only 24 h and may limit its applicability in clinical practice where ECMO therapy lasts for days to weeks. The effect of longterm consequences of this strategy on enterogenic infection, general intestinal function, hemodynamic alteration and oxygen utilization warrant further study. The differences between patient populations (human vs. porcine) as well as the influence of underlying disease processes or pathological factors on intestinal mucosal barrier function are suspected in respect that health animals were used in this study.", "In conclusion, the results of our study indicated that damage of intestinal mucosal barrier function with loss of epithelial tight junction leading to bacterial translocation is induced during VV ECMO therapy. The combined use of VV ECMO and CRRT can alleviate levels of intestinal mucosal barrier dysfunction and related bacterial translocation, which may extenuate the ECMO-associated SIRS and raise the effect and safety of VV ECMO.", "ECMO: Extracorporeal membrane oxygenation; CRRT: Continuous renal replacement therapies; VV ECMO: Venovenous extracorporeal membrane oxygenation; DAO: Diamine oxidase; I-FABP: Fatty acid binding protein; MODS: Multiple organ dysfunction syndrome; ACT: Activated clotting time; CBP: Continuous blood purification; ROS: Reactive oxygen species; iNOS: Induced nitric oxide synthase; NO: Nitric oxide; SIRS: Systemic inflammatory response syndrome.", "The authors declare that they have no competing interests.", "CH, SY and WY are co-first authors and completed most the scientific work and drafted the manuscript. JS, QC performed the model of ECMO. JS completed the statistic work. YH helped the first authors to finish the study. XW, NL, JL helped to conceptualize and design the study and NL was corresponding author for the paper. All authors read and approved the final manuscript.", "Changsheng He, Shuofei Yang and Wenkui Yu are the co-first authors." ]
[ null, "methods", null, null, null, null, null, null, null, null, "results", null, null, null, "discussion", "conclusions", null, null, null, null ]
[ "Extracorporeal membrane oxygenation (ECMO)", "Continuous renal replacement treatment (CRRT)", "Systemic inflammatory response syndrome (SIRS)", "Intestinal mucosal barrier function" ]
Background: Extracorporeal membrane oxygenation (ECMO) has been considered as an effective means of treatment to unresponsive pulmonary hypertension, respiratory failure, sepsis, and emergency temporary cardiac support for almost 60 years [1,2]. With superiority for moribund patients, venovenous extracorporeal membrane oxygenation (VV ECMO) is recommended to support patients with severe but potentially reversible respiratory failure refractory to conventional therapy [3-6]. The encouraging results in the CESAR trial and remarkable effect of ECMO in 2009 H1N1 and 2013 H7N9 pandemichas brought it into the spotlight worldwide [7-10]. However, direct circulation of blood across synthetic surfaces escalates a pro-inflammatory response, further exacerbating a disease process that is already associated with the activation of the inflammatory cascade [11]. With much wider range of use, concerns remain about the near-universal occurrence of systemic inflammatory response syndrome (SIRS) during ECMO associated with considerable morbidity [12-17]. Intestine is the central part of systemic SIRS and a motor of multiple organ dysfunction syndrome (MODS) [18]. Rapid rise of plasma concentrations of inflammatory cytokines during ECMO-related SIRS is due to the release of pre-formed stores in the intestine [19]. Breakdown of mucosal barrier during ECMO increases intestinal permeability and allows translocation of intraluminal bacteria across the mucosa leading to distant organ injury [15]. Strategies to protect gut barrier function and thereby prevent bacterial translocation during ECMO merit comprehensive and further explorations. Continuous renal replacement therapy (CRRT) shows remarkable advantages in eliminating inflammatory mediators, dampening inflammatory response, preserving organ function and maintaining optimal fluid status during ECMO with well clinical tolerance in a hemodynamically unstable condition [20-22]. ECMO-associated organ lesion of myocardium and kidney was proven to be extenuated with CRRT [23]. As far as we know, this is the first study designed to investigate whether CRRT could alleviate the gut mucosal dysfunction and intestinal epithelial barrier loss in a swine model so as to provide an approach to improve the clinical effect and relieve the risk of VV ECMO therapy. Methods: This study was approved by the Institutional Animal Care and Use Committee of Jingling Hospital in Nanjing, Jiangsu, China. Experiments were performed according to the National Institutes of Health Guidelines on the use of laboratory animals. Experimental protocol The 24 piglets weight of 27.46 ± 4.45 Kg (25-32 Kg) of either sex were randomly allocated to 4 groups: control group (C group), sham group (S group, to verify whether the required ECMO operative procedure affected the results), VV-ECMO group (E group), VV-ECMO combined with CRRT group (EC group). All piglets were fasted for 24 h before experiments. Each animal received lactated Ringer’s solution at a rate of 3 mL*kg−1*h−1 and bolus fluid was provided as required to maintain MAP above 60 mmHg. Temperature, serum pH, glucose, and ionized calcium concentration were monitored and maintained normally. All animals were monitored for 24 h. After heparin (150 U/kg IV) was given as a bolus to the sham, ECMO and ECMO + CRRT groups, placement of cannula was performed and confirmed by ultrasonograph. The control group got no operation and treatment. In sham group, the vascular venous cannula was occluded at 0 hour. In ECMO group, ECMO was instituted with cannulae insertion. In ECMO + CRRT group, ECMO and CRRT were initiated at the same time upon cannulae insertion. The blood and tissue samples were collected 1 h before and 2 h, 6 h, 12 h and 24 h after experiment. At the end of experiments, piglets were euthanized with a bolus injection of potassium chloride (40 mL, 0.1 g/mL). The 24 piglets weight of 27.46 ± 4.45 Kg (25-32 Kg) of either sex were randomly allocated to 4 groups: control group (C group), sham group (S group, to verify whether the required ECMO operative procedure affected the results), VV-ECMO group (E group), VV-ECMO combined with CRRT group (EC group). All piglets were fasted for 24 h before experiments. Each animal received lactated Ringer’s solution at a rate of 3 mL*kg−1*h−1 and bolus fluid was provided as required to maintain MAP above 60 mmHg. Temperature, serum pH, glucose, and ionized calcium concentration were monitored and maintained normally. All animals were monitored for 24 h. After heparin (150 U/kg IV) was given as a bolus to the sham, ECMO and ECMO + CRRT groups, placement of cannula was performed and confirmed by ultrasonograph. The control group got no operation and treatment. In sham group, the vascular venous cannula was occluded at 0 hour. In ECMO group, ECMO was instituted with cannulae insertion. In ECMO + CRRT group, ECMO and CRRT were initiated at the same time upon cannulae insertion. The blood and tissue samples were collected 1 h before and 2 h, 6 h, 12 h and 24 h after experiment. At the end of experiments, piglets were euthanized with a bolus injection of potassium chloride (40 mL, 0.1 g/mL). Surgical procedure Anesthesia was induced with ketamine (20 mg/kg), diazepam (8 mg/kg), and atropine (0.1 mg/kg) intramuscularly and then maintained with ketamine (10–20 mg*kg−1*h−1) and diazepam (8 mg*kg−1*h−1) intravenously. The animals were intubated through a cervical tracheotomy and then mechanical ventilation (TBird VELA, USA) was established using volume-controlled mode with FiO2 of 21% and a positive end-expiratory pressure set at 5 mmHg throughout the experimental period. Tidal volumes were adjusted to 5-8 mL/kg. Respiratory rate was set at 15/min. Internal jugular vein and femoral vein catheters were placed for intravenous access, sample collection and connected to a medical monitor (Model90207, Spacelabs, USA). Anesthesia was induced with ketamine (20 mg/kg), diazepam (8 mg/kg), and atropine (0.1 mg/kg) intramuscularly and then maintained with ketamine (10–20 mg*kg−1*h−1) and diazepam (8 mg*kg−1*h−1) intravenously. The animals were intubated through a cervical tracheotomy and then mechanical ventilation (TBird VELA, USA) was established using volume-controlled mode with FiO2 of 21% and a positive end-expiratory pressure set at 5 mmHg throughout the experimental period. Tidal volumes were adjusted to 5-8 mL/kg. Respiratory rate was set at 15/min. Internal jugular vein and femoral vein catheters were placed for intravenous access, sample collection and connected to a medical monitor (Model90207, Spacelabs, USA). VV-ECMO proceduce After a 150 U/kg intravenous bolus of heparin, ECMO cannulae (15-Fr, Medtronic, USA) were placed in the superior vena cava through the internal jugular vein and inferior vena cava through the femoral vein. Placement of cannulae was confirmed under guidance of ultrasonograph. Heparin was continuously infused to keep the activated clotting time (ACT) at 180 to 220 s during the process of ECMO. The ECMO system consisted of a membrane oxygenator and tubing (Quadrox PLS, Maquet, Germany), a centrifugal pump (Rotaflow Console, Maquet, Germany), and a heat exchange maintaining temperature at 37°C (Heater–Cooler Unit HCU 30, Maquet, Germany). The circuit was primed with 500 mL hydroxyethyl starch 130/0.4 and 200-300 mL Ringer’s lactate. Blood in circuit was drained from the femoral vein cannulae and infused into the internal jugular vein cannulae at a flow rate of 50 mL*kg−1*min−1. Sweep gas was 100% oxygen at a flow rate equal to the blood flow rate. After a 150 U/kg intravenous bolus of heparin, ECMO cannulae (15-Fr, Medtronic, USA) were placed in the superior vena cava through the internal jugular vein and inferior vena cava through the femoral vein. Placement of cannulae was confirmed under guidance of ultrasonograph. Heparin was continuously infused to keep the activated clotting time (ACT) at 180 to 220 s during the process of ECMO. The ECMO system consisted of a membrane oxygenator and tubing (Quadrox PLS, Maquet, Germany), a centrifugal pump (Rotaflow Console, Maquet, Germany), and a heat exchange maintaining temperature at 37°C (Heater–Cooler Unit HCU 30, Maquet, Germany). The circuit was primed with 500 mL hydroxyethyl starch 130/0.4 and 200-300 mL Ringer’s lactate. Blood in circuit was drained from the femoral vein cannulae and infused into the internal jugular vein cannulae at a flow rate of 50 mL*kg−1*min−1. Sweep gas was 100% oxygen at a flow rate equal to the blood flow rate. CRRT setting CRRT was performed in a pre-dilution mode using a polysulfone membrane (1.4 m2 AV 600 s, ultraflux, Germany) connected to a continuous blood pump (Baxter BM 25, Baxter SAN Germany). CRRT was performed with zero-balanced continuous venovenous hemofiltration (CVVH) at a blood flow of 160-180 mL/min and an ultrafiltration rate of 35 mL*kg−1*h−1. A lactate-buffered replacement fluid (deploy Jingling prescription, China) was administered in a post-dilutional fashion. CRRT was performed in a pre-dilution mode using a polysulfone membrane (1.4 m2 AV 600 s, ultraflux, Germany) connected to a continuous blood pump (Baxter BM 25, Baxter SAN Germany). CRRT was performed with zero-balanced continuous venovenous hemofiltration (CVVH) at a blood flow of 160-180 mL/min and an ultrafiltration rate of 35 mL*kg−1*h−1. A lactate-buffered replacement fluid (deploy Jingling prescription, China) was administered in a post-dilutional fashion. Connecting manner The inlet (arterial) line of the CRRT circuit was connected after oxygenator by a three-way tap and the outlet (venous) line was connected to the circuit at another tap on infusing cannula. The filters were unchanged during 24 hours each time. The inlet (arterial) line of the CRRT circuit was connected after oxygenator by a three-way tap and the outlet (venous) line was connected to the circuit at another tap on infusing cannula. The filters were unchanged during 24 hours each time. Histopathological examination 1. Histology examination and score Tissue samples from the jejunum, ileum and colon were fixed and dehydrated with 10% formalin, embedded in paraffin, cutted into sections, stained with hematoxylin and eosin (H and E staining), and observed in 100-times by an optical microscopy (CX41, Olympus, Tokyo, Japan). Four distinct sections of each sample are observed and scored according to Chiu’s scoring standard by two independent pathologist blinded to the grouping [24]. 2. Ultrastructure detection Fresh intestinal tissues from the jejunum, ileum and colon were flushed with phosphate-buffered saline, cut into pieces (1*1*1 mm), fixed with 2.5% cold glutaraldehyde for 2 h, flushed with phosphate-buffered saline again, fixed with 1% perosmic acid, and dehydrated with acetone. Ultrathin sections were placed on 200-mesh copper grids and double stained with 4% uranyl acetate and 0.2% lead citrate. Sections were examined under transmission electron microscopy (TEM, JEM-1200, Hitachi, Tokyo, Japan). Ultrastructure of tight junction was observed in 10,000-times magnification. The histology and ultrastructure were examined by two independent pathologist blinded to the grouping. 1. Histology examination and score Tissue samples from the jejunum, ileum and colon were fixed and dehydrated with 10% formalin, embedded in paraffin, cutted into sections, stained with hematoxylin and eosin (H and E staining), and observed in 100-times by an optical microscopy (CX41, Olympus, Tokyo, Japan). Four distinct sections of each sample are observed and scored according to Chiu’s scoring standard by two independent pathologist blinded to the grouping [24]. 2. Ultrastructure detection Fresh intestinal tissues from the jejunum, ileum and colon were flushed with phosphate-buffered saline, cut into pieces (1*1*1 mm), fixed with 2.5% cold glutaraldehyde for 2 h, flushed with phosphate-buffered saline again, fixed with 1% perosmic acid, and dehydrated with acetone. Ultrathin sections were placed on 200-mesh copper grids and double stained with 4% uranyl acetate and 0.2% lead citrate. Sections were examined under transmission electron microscopy (TEM, JEM-1200, Hitachi, Tokyo, Japan). Ultrastructure of tight junction was observed in 10,000-times magnification. The histology and ultrastructure were examined by two independent pathologist blinded to the grouping. Measurement of intestinal barrier function 1. Bacterial translocation a) Blood bacterial culture: blood samples were placed in agarose-gel plates to aerobic and anaerobic bacterial culture for 24 h for bacterial identification. b) Tissue bacterial culture: after animals were euthanized, the liver, spleen, kidney and mesenteric lymphnode were collected by stringent aseptic operation for tissue bacterial culture at 37°C for 24 h (measured by clonal formation unit/gram, CFU/g). 2. Concentrations of Diamine Oxidase (DAO) and intestinal fatty acid binding protein (I-FABP) Concentrations of DAO and I-FABP were used as the markers for the assessment of intestinal epithelial function. Serum and filtrate DAO levels were determined using a spectrophotometry kit (Nanjing Jiancheng Bioengineering Institute,China). Serum and filtrate I-FABP level were tested by enzyme linked immunosorbent assay (ELISA) kit (Wuhan EIAab Science Co., Ltd, China). Spectrophotometry and ELISA was performed according to the manufacturer’s instructions. 1. Bacterial translocation a) Blood bacterial culture: blood samples were placed in agarose-gel plates to aerobic and anaerobic bacterial culture for 24 h for bacterial identification. b) Tissue bacterial culture: after animals were euthanized, the liver, spleen, kidney and mesenteric lymphnode were collected by stringent aseptic operation for tissue bacterial culture at 37°C for 24 h (measured by clonal formation unit/gram, CFU/g). 2. Concentrations of Diamine Oxidase (DAO) and intestinal fatty acid binding protein (I-FABP) Concentrations of DAO and I-FABP were used as the markers for the assessment of intestinal epithelial function. Serum and filtrate DAO levels were determined using a spectrophotometry kit (Nanjing Jiancheng Bioengineering Institute,China). Serum and filtrate I-FABP level were tested by enzyme linked immunosorbent assay (ELISA) kit (Wuhan EIAab Science Co., Ltd, China). Spectrophotometry and ELISA was performed according to the manufacturer’s instructions. Statistical analysis Continuous variables were defined as means ± standard deviation if they were normally distributed,Colonies of tissue bacterial culture were computed by log10. Comparisons between groups for pathological score, colonies of tissue bacterial culture, DAO and I-FABP levels in filtrate were performed by using one-way analysis of variance (ANOVA). In case of statistical significance, post hoc comparisons were made by unpaired samples t-test. Fisher’s exact test was used in blood culture positive rate. Repeated-measures ANOVA were used to analyze DAO and I-FABP variables over time between four groups followed by Bonferroni’s post hoc testing. Statistical comparisons among the groups were performed using two-way ANOVA, followed by unpaired t-tests with Bonferroni’s correction. Statistical significance was accepted for a P-value of 0.05. Statistical analysis was performed using the SPSS statistical package (version17.0; SPSS Inc., Chicago, IL, USA). Continuous variables were defined as means ± standard deviation if they were normally distributed,Colonies of tissue bacterial culture were computed by log10. Comparisons between groups for pathological score, colonies of tissue bacterial culture, DAO and I-FABP levels in filtrate were performed by using one-way analysis of variance (ANOVA). In case of statistical significance, post hoc comparisons were made by unpaired samples t-test. Fisher’s exact test was used in blood culture positive rate. Repeated-measures ANOVA were used to analyze DAO and I-FABP variables over time between four groups followed by Bonferroni’s post hoc testing. Statistical comparisons among the groups were performed using two-way ANOVA, followed by unpaired t-tests with Bonferroni’s correction. Statistical significance was accepted for a P-value of 0.05. Statistical analysis was performed using the SPSS statistical package (version17.0; SPSS Inc., Chicago, IL, USA). Experimental protocol: The 24 piglets weight of 27.46 ± 4.45 Kg (25-32 Kg) of either sex were randomly allocated to 4 groups: control group (C group), sham group (S group, to verify whether the required ECMO operative procedure affected the results), VV-ECMO group (E group), VV-ECMO combined with CRRT group (EC group). All piglets were fasted for 24 h before experiments. Each animal received lactated Ringer’s solution at a rate of 3 mL*kg−1*h−1 and bolus fluid was provided as required to maintain MAP above 60 mmHg. Temperature, serum pH, glucose, and ionized calcium concentration were monitored and maintained normally. All animals were monitored for 24 h. After heparin (150 U/kg IV) was given as a bolus to the sham, ECMO and ECMO + CRRT groups, placement of cannula was performed and confirmed by ultrasonograph. The control group got no operation and treatment. In sham group, the vascular venous cannula was occluded at 0 hour. In ECMO group, ECMO was instituted with cannulae insertion. In ECMO + CRRT group, ECMO and CRRT were initiated at the same time upon cannulae insertion. The blood and tissue samples were collected 1 h before and 2 h, 6 h, 12 h and 24 h after experiment. At the end of experiments, piglets were euthanized with a bolus injection of potassium chloride (40 mL, 0.1 g/mL). Surgical procedure: Anesthesia was induced with ketamine (20 mg/kg), diazepam (8 mg/kg), and atropine (0.1 mg/kg) intramuscularly and then maintained with ketamine (10–20 mg*kg−1*h−1) and diazepam (8 mg*kg−1*h−1) intravenously. The animals were intubated through a cervical tracheotomy and then mechanical ventilation (TBird VELA, USA) was established using volume-controlled mode with FiO2 of 21% and a positive end-expiratory pressure set at 5 mmHg throughout the experimental period. Tidal volumes were adjusted to 5-8 mL/kg. Respiratory rate was set at 15/min. Internal jugular vein and femoral vein catheters were placed for intravenous access, sample collection and connected to a medical monitor (Model90207, Spacelabs, USA). VV-ECMO proceduce: After a 150 U/kg intravenous bolus of heparin, ECMO cannulae (15-Fr, Medtronic, USA) were placed in the superior vena cava through the internal jugular vein and inferior vena cava through the femoral vein. Placement of cannulae was confirmed under guidance of ultrasonograph. Heparin was continuously infused to keep the activated clotting time (ACT) at 180 to 220 s during the process of ECMO. The ECMO system consisted of a membrane oxygenator and tubing (Quadrox PLS, Maquet, Germany), a centrifugal pump (Rotaflow Console, Maquet, Germany), and a heat exchange maintaining temperature at 37°C (Heater–Cooler Unit HCU 30, Maquet, Germany). The circuit was primed with 500 mL hydroxyethyl starch 130/0.4 and 200-300 mL Ringer’s lactate. Blood in circuit was drained from the femoral vein cannulae and infused into the internal jugular vein cannulae at a flow rate of 50 mL*kg−1*min−1. Sweep gas was 100% oxygen at a flow rate equal to the blood flow rate. CRRT setting: CRRT was performed in a pre-dilution mode using a polysulfone membrane (1.4 m2 AV 600 s, ultraflux, Germany) connected to a continuous blood pump (Baxter BM 25, Baxter SAN Germany). CRRT was performed with zero-balanced continuous venovenous hemofiltration (CVVH) at a blood flow of 160-180 mL/min and an ultrafiltration rate of 35 mL*kg−1*h−1. A lactate-buffered replacement fluid (deploy Jingling prescription, China) was administered in a post-dilutional fashion. Connecting manner: The inlet (arterial) line of the CRRT circuit was connected after oxygenator by a three-way tap and the outlet (venous) line was connected to the circuit at another tap on infusing cannula. The filters were unchanged during 24 hours each time. Histopathological examination: 1. Histology examination and score Tissue samples from the jejunum, ileum and colon were fixed and dehydrated with 10% formalin, embedded in paraffin, cutted into sections, stained with hematoxylin and eosin (H and E staining), and observed in 100-times by an optical microscopy (CX41, Olympus, Tokyo, Japan). Four distinct sections of each sample are observed and scored according to Chiu’s scoring standard by two independent pathologist blinded to the grouping [24]. 2. Ultrastructure detection Fresh intestinal tissues from the jejunum, ileum and colon were flushed with phosphate-buffered saline, cut into pieces (1*1*1 mm), fixed with 2.5% cold glutaraldehyde for 2 h, flushed with phosphate-buffered saline again, fixed with 1% perosmic acid, and dehydrated with acetone. Ultrathin sections were placed on 200-mesh copper grids and double stained with 4% uranyl acetate and 0.2% lead citrate. Sections were examined under transmission electron microscopy (TEM, JEM-1200, Hitachi, Tokyo, Japan). Ultrastructure of tight junction was observed in 10,000-times magnification. The histology and ultrastructure were examined by two independent pathologist blinded to the grouping. Measurement of intestinal barrier function: 1. Bacterial translocation a) Blood bacterial culture: blood samples were placed in agarose-gel plates to aerobic and anaerobic bacterial culture for 24 h for bacterial identification. b) Tissue bacterial culture: after animals were euthanized, the liver, spleen, kidney and mesenteric lymphnode were collected by stringent aseptic operation for tissue bacterial culture at 37°C for 24 h (measured by clonal formation unit/gram, CFU/g). 2. Concentrations of Diamine Oxidase (DAO) and intestinal fatty acid binding protein (I-FABP) Concentrations of DAO and I-FABP were used as the markers for the assessment of intestinal epithelial function. Serum and filtrate DAO levels were determined using a spectrophotometry kit (Nanjing Jiancheng Bioengineering Institute,China). Serum and filtrate I-FABP level were tested by enzyme linked immunosorbent assay (ELISA) kit (Wuhan EIAab Science Co., Ltd, China). Spectrophotometry and ELISA was performed according to the manufacturer’s instructions. Statistical analysis: Continuous variables were defined as means ± standard deviation if they were normally distributed,Colonies of tissue bacterial culture were computed by log10. Comparisons between groups for pathological score, colonies of tissue bacterial culture, DAO and I-FABP levels in filtrate were performed by using one-way analysis of variance (ANOVA). In case of statistical significance, post hoc comparisons were made by unpaired samples t-test. Fisher’s exact test was used in blood culture positive rate. Repeated-measures ANOVA were used to analyze DAO and I-FABP variables over time between four groups followed by Bonferroni’s post hoc testing. Statistical comparisons among the groups were performed using two-way ANOVA, followed by unpaired t-tests with Bonferroni’s correction. Statistical significance was accepted for a P-value of 0.05. Statistical analysis was performed using the SPSS statistical package (version17.0; SPSS Inc., Chicago, IL, USA). Results: No significant differences were detected in body weight and other characteristics among groups. Histology and ultrastructure examination In histology examination, jejunal and ileal mucosa was normal in C group. Jejunal and ileal mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were attenuated in EC group with slight mucosal injury and villi shedding (Figure 1A-H). Normal morphology of colonic mucosa was demolished in E group and slight structural disorder with epithelial atrophy was found in S group. Mucosal damages were relieved back to smooth and integral in EC group similar to C group (Figure 1I-L). Significant difference of pathologic scores was detected among four groups (P < 0.01). Socres of S and E group were markedly higher than C group, disclosing the impairment on intestinal mucosa by invasive manipulation and ECMO therapy (P < 0.01). Score was slightly elevated in E group when compared with S group. Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). It revealed that CRRT could alleviate the ECMO-related morphological distortion of intestial mucosa (Figure 2). Histology examination of jejunal, ileal and colonic mucosa with H and E staining under optical microscopy (magnification*100). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I-L: colonic mucosa of C, S, E, EC group. Normal mucosa was viewed in C group. Mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were significantly attenuated in EC group. Pathological score of jejunal, ileal and colonic mucosa injury. Socres of S and E group were markedly higher than C group (P < 0.01). Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). (Compared to control group, *P < 0.01, ★P < 0.05; compared to S group, ◆P < 0.01; compared to E group, #P < 0.01). Under TEM, almost the same in jejunum, ileum and colon, structural integrity and solid connection of epithelial tight junction and desmosome with smooth microvillus were indicated in C group. Loose epithelial tight junction and sparse villi were found in S group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group. All damages were significantly improved in EC group with solid epithelial tight junction, dense desmosome and tidy villi (Figure 3A-H, J-M). Bacterial invasion into ileal mucosa was clearly observed suggesting a significant increase of intestinal mucosal barrier permeability (Figure 3I). Ultrastructural detection of jejunal, ileal and colonic mucosa under transmission electron microscopy (magnification*10,000). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I: bacterial invasion into ileal mucosa; J-M: colonic mucosa of C, S, E, EC group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group were significantly improved in EC group. In histology examination, jejunal and ileal mucosa was normal in C group. Jejunal and ileal mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were attenuated in EC group with slight mucosal injury and villi shedding (Figure 1A-H). Normal morphology of colonic mucosa was demolished in E group and slight structural disorder with epithelial atrophy was found in S group. Mucosal damages were relieved back to smooth and integral in EC group similar to C group (Figure 1I-L). Significant difference of pathologic scores was detected among four groups (P < 0.01). Socres of S and E group were markedly higher than C group, disclosing the impairment on intestinal mucosa by invasive manipulation and ECMO therapy (P < 0.01). Score was slightly elevated in E group when compared with S group. Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). It revealed that CRRT could alleviate the ECMO-related morphological distortion of intestial mucosa (Figure 2). Histology examination of jejunal, ileal and colonic mucosa with H and E staining under optical microscopy (magnification*100). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I-L: colonic mucosa of C, S, E, EC group. Normal mucosa was viewed in C group. Mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were significantly attenuated in EC group. Pathological score of jejunal, ileal and colonic mucosa injury. Socres of S and E group were markedly higher than C group (P < 0.01). Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). (Compared to control group, *P < 0.01, ★P < 0.05; compared to S group, ◆P < 0.01; compared to E group, #P < 0.01). Under TEM, almost the same in jejunum, ileum and colon, structural integrity and solid connection of epithelial tight junction and desmosome with smooth microvillus were indicated in C group. Loose epithelial tight junction and sparse villi were found in S group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group. All damages were significantly improved in EC group with solid epithelial tight junction, dense desmosome and tidy villi (Figure 3A-H, J-M). Bacterial invasion into ileal mucosa was clearly observed suggesting a significant increase of intestinal mucosal barrier permeability (Figure 3I). Ultrastructural detection of jejunal, ileal and colonic mucosa under transmission electron microscopy (magnification*10,000). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I: bacterial invasion into ileal mucosa; J-M: colonic mucosa of C, S, E, EC group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group were significantly improved in EC group. Bacterial translocation Blood bacterial culture was negative in all groups. At 24 h after experiment, positive rate of blood bacterial culture was highest in E group (33.33%), lower in S and EC group (16.67%) and none in C group. No statistical difference was detected by Fisher’s exact test (Table 1). There was significant difference in bacterial culture of liver and mesenteric lymphnode among four groups (P < 0.05), but none in kidney and spleen (P > 0.05). VV ECMO therapy (E group) induced a significant increase of colonies of liver and mesenteric lymphnode bacterial culture than C group (P < 0.01) which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). Colonies of mesenteric lymphnode bacterial culture rose notably in E group (vs S group, P < 0.05) and EC group (vs C group, P < 0.01). Colonies of liver bacterial culture increased mildly in E group (vs S group, P = 0.06) and EC group (vs C group, P = 0.15) (Figure 4). Serum bacterial culture Colonies of bacterial culture in liver, spleen, kidney and mesenteric lymphnode. VV ECMO therapy (E group) induced a significant increase of colonies of bacterial culture in liver and mesenteric lymphnode than C group (P < 0.01), which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). (Compared to control group, *P < 0.01; compared to S group, ◆P < 0.05; compared to E group, #P < 0.05). Blood bacterial culture was negative in all groups. At 24 h after experiment, positive rate of blood bacterial culture was highest in E group (33.33%), lower in S and EC group (16.67%) and none in C group. No statistical difference was detected by Fisher’s exact test (Table 1). There was significant difference in bacterial culture of liver and mesenteric lymphnode among four groups (P < 0.05), but none in kidney and spleen (P > 0.05). VV ECMO therapy (E group) induced a significant increase of colonies of liver and mesenteric lymphnode bacterial culture than C group (P < 0.01) which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). Colonies of mesenteric lymphnode bacterial culture rose notably in E group (vs S group, P < 0.05) and EC group (vs C group, P < 0.01). Colonies of liver bacterial culture increased mildly in E group (vs S group, P = 0.06) and EC group (vs C group, P = 0.15) (Figure 4). Serum bacterial culture Colonies of bacterial culture in liver, spleen, kidney and mesenteric lymphnode. VV ECMO therapy (E group) induced a significant increase of colonies of bacterial culture in liver and mesenteric lymphnode than C group (P < 0.01), which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). (Compared to control group, *P < 0.01; compared to S group, ◆P < 0.05; compared to E group, #P < 0.05). Injury of intestinal epithelial barrier Serum DAO and I-FABP levels did not change over time significantly among 4 groups (P > 0.05). But they differed significantly between groups at the same time point (P < 0.05). Compared with constant low level in C group, S and E group demonstrated notable increase of serum DAO and I-FABP level (P < 0.05, P < 0.01). In EC group, despite initial high level, after 2 h of CRRT serum DAO and I-FABP levels decreased gradually to same level as C group at 24 h, significantly lower than E group (P < 0.01) (Figures 5 and 6). The filtrate DAO and I-FABP levels remained relatively constant throughout the study period, which demonstrated that decreased serum DAO and I-FABP levels in EC group was not due to clearance of CRRT (Figure 7A, B). All the results suggested that the VV ECMO-induced intestinal mucosal barrier dysfunction could be relieved notably with combination of CRRT. Serum DAO levels in 4 groups. Serum DAO levels did not change significantly over time (P > 0.05). Compared with notable increase of serum DAO level in E group, it was significantly lower after CRRT for 12 h (P < 0.01). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01). Serum I-FABP levels in 4 groups. Serum I-FABP levels did not change significantly over time (P > 0.05). Compared with high serum I-FABP level in E group, it showed significant decrease after CRRT for 12 h (P < 0.05). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01). Filtrate DAO and I-FABP level over time. A: Filtrate DAO and I-FABP level over time; B: Filtrate DAO and I-FABP level over time. The filtrate DAO and I-FABP level remained relatively constant throughout the experiment period. (Compared to -1 h, *P < 0.05). Serum DAO and I-FABP levels did not change over time significantly among 4 groups (P > 0.05). But they differed significantly between groups at the same time point (P < 0.05). Compared with constant low level in C group, S and E group demonstrated notable increase of serum DAO and I-FABP level (P < 0.05, P < 0.01). In EC group, despite initial high level, after 2 h of CRRT serum DAO and I-FABP levels decreased gradually to same level as C group at 24 h, significantly lower than E group (P < 0.01) (Figures 5 and 6). The filtrate DAO and I-FABP levels remained relatively constant throughout the study period, which demonstrated that decreased serum DAO and I-FABP levels in EC group was not due to clearance of CRRT (Figure 7A, B). All the results suggested that the VV ECMO-induced intestinal mucosal barrier dysfunction could be relieved notably with combination of CRRT. Serum DAO levels in 4 groups. Serum DAO levels did not change significantly over time (P > 0.05). Compared with notable increase of serum DAO level in E group, it was significantly lower after CRRT for 12 h (P < 0.01). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01). Serum I-FABP levels in 4 groups. Serum I-FABP levels did not change significantly over time (P > 0.05). Compared with high serum I-FABP level in E group, it showed significant decrease after CRRT for 12 h (P < 0.05). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01). Filtrate DAO and I-FABP level over time. A: Filtrate DAO and I-FABP level over time; B: Filtrate DAO and I-FABP level over time. The filtrate DAO and I-FABP level remained relatively constant throughout the experiment period. (Compared to -1 h, *P < 0.05). Histology and ultrastructure examination: In histology examination, jejunal and ileal mucosa was normal in C group. Jejunal and ileal mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were attenuated in EC group with slight mucosal injury and villi shedding (Figure 1A-H). Normal morphology of colonic mucosa was demolished in E group and slight structural disorder with epithelial atrophy was found in S group. Mucosal damages were relieved back to smooth and integral in EC group similar to C group (Figure 1I-L). Significant difference of pathologic scores was detected among four groups (P < 0.01). Socres of S and E group were markedly higher than C group, disclosing the impairment on intestinal mucosa by invasive manipulation and ECMO therapy (P < 0.01). Score was slightly elevated in E group when compared with S group. Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). It revealed that CRRT could alleviate the ECMO-related morphological distortion of intestial mucosa (Figure 2). Histology examination of jejunal, ileal and colonic mucosa with H and E staining under optical microscopy (magnification*100). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I-L: colonic mucosa of C, S, E, EC group. Normal mucosa was viewed in C group. Mucosal structure distortion, villous collapse and edema, and epithelial shedding were observed in S and E groups. These damages were significantly attenuated in EC group. Pathological score of jejunal, ileal and colonic mucosa injury. Socres of S and E group were markedly higher than C group (P < 0.01). Score of EC group was significantly lower than S and E group, but higher than C group (P < 0.01). (Compared to control group, *P < 0.01, ★P < 0.05; compared to S group, ◆P < 0.01; compared to E group, #P < 0.01). Under TEM, almost the same in jejunum, ileum and colon, structural integrity and solid connection of epithelial tight junction and desmosome with smooth microvillus were indicated in C group. Loose epithelial tight junction and sparse villi were found in S group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group. All damages were significantly improved in EC group with solid epithelial tight junction, dense desmosome and tidy villi (Figure 3A-H, J-M). Bacterial invasion into ileal mucosa was clearly observed suggesting a significant increase of intestinal mucosal barrier permeability (Figure 3I). Ultrastructural detection of jejunal, ileal and colonic mucosa under transmission electron microscopy (magnification*10,000). A-D: jejunal mucosa of C, S, E, EC group; E-H: ileal mucosa of C, S, E, EC group; I: bacterial invasion into ileal mucosa; J-M: colonic mucosa of C, S, E, EC group. The morphological distortion of tight junction between intestinal mucous epithelium became blurred with loose cell-cell gaps, disappearance of desmosomes and mitochondrial swelling in E group were significantly improved in EC group. Bacterial translocation: Blood bacterial culture was negative in all groups. At 24 h after experiment, positive rate of blood bacterial culture was highest in E group (33.33%), lower in S and EC group (16.67%) and none in C group. No statistical difference was detected by Fisher’s exact test (Table 1). There was significant difference in bacterial culture of liver and mesenteric lymphnode among four groups (P < 0.05), but none in kidney and spleen (P > 0.05). VV ECMO therapy (E group) induced a significant increase of colonies of liver and mesenteric lymphnode bacterial culture than C group (P < 0.01) which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). Colonies of mesenteric lymphnode bacterial culture rose notably in E group (vs S group, P < 0.05) and EC group (vs C group, P < 0.01). Colonies of liver bacterial culture increased mildly in E group (vs S group, P = 0.06) and EC group (vs C group, P = 0.15) (Figure 4). Serum bacterial culture Colonies of bacterial culture in liver, spleen, kidney and mesenteric lymphnode. VV ECMO therapy (E group) induced a significant increase of colonies of bacterial culture in liver and mesenteric lymphnode than C group (P < 0.01), which was attenuated significantly in liver (P < 0.01) and partially in mesenteric lymphnode after combination with CRRT therapy (EC group). (Compared to control group, *P < 0.01; compared to S group, ◆P < 0.05; compared to E group, #P < 0.05). Injury of intestinal epithelial barrier: Serum DAO and I-FABP levels did not change over time significantly among 4 groups (P > 0.05). But they differed significantly between groups at the same time point (P < 0.05). Compared with constant low level in C group, S and E group demonstrated notable increase of serum DAO and I-FABP level (P < 0.05, P < 0.01). In EC group, despite initial high level, after 2 h of CRRT serum DAO and I-FABP levels decreased gradually to same level as C group at 24 h, significantly lower than E group (P < 0.01) (Figures 5 and 6). The filtrate DAO and I-FABP levels remained relatively constant throughout the study period, which demonstrated that decreased serum DAO and I-FABP levels in EC group was not due to clearance of CRRT (Figure 7A, B). All the results suggested that the VV ECMO-induced intestinal mucosal barrier dysfunction could be relieved notably with combination of CRRT. Serum DAO levels in 4 groups. Serum DAO levels did not change significantly over time (P > 0.05). Compared with notable increase of serum DAO level in E group, it was significantly lower after CRRT for 12 h (P < 0.01). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01). Serum I-FABP levels in 4 groups. Serum I-FABP levels did not change significantly over time (P > 0.05). Compared with high serum I-FABP level in E group, it showed significant decrease after CRRT for 12 h (P < 0.05). (Compared to control group, *P < 0.05, **P < 0.01; compared to S group, ◆P < 0.05, ◆◆P < 0.01; compared to E group, #P < 0.05, ##P < 0.01). Filtrate DAO and I-FABP level over time. A: Filtrate DAO and I-FABP level over time; B: Filtrate DAO and I-FABP level over time. The filtrate DAO and I-FABP level remained relatively constant throughout the experiment period. (Compared to -1 h, *P < 0.05). Discussion: To date, our findings are the first in vivo animal experiment in an VV ECMO model to demonstrate the protective effect of CRRT on intestinal mucosal barrier dysfunction secondary to ECMO-induced SIRS. During ECMO, huge disparity between the patient’s circulating blood volume and circuit volumes, often 200–300% greater than patient’s circulating blood volume, increases the activation of various blood components upon long exposure to the artificial material surface of the ECMO circuit leading to changes of blood constituent and SIRS [15,25]. This inflammatory response usually manifests within the first few hours of ECMO with hypotension, decreased urine output and lung compliance, anasarca and liver dysfunction [26]. These changes often persist for several days with delayed recovery and prolonged ECMO therapy. A reciprocal causation is found between intestinal mucosal barrier dysfunction and inflammatory cytokine storm. Rapid rise of inflammatory cytokines during ECMO-related SIRS was due to the release of pre-formed stores in the intestine [19]. On the other side, loss of intestinal epithelial barrier secondary to ECMO-indeced SIRS has been demonstrated in previous study and similar changes were detected in this study as well [15]. In the present study, bacterial translocation was detected after the initiation of ECMO. Similarly, Hirthler et al. [27] found increased plasma LPS levels in neonates after initiation of ECMO for 36 h. Bacterial translocation due to the increase of gut mucosal permeability in human neonates receiving ECMO has also been noted by Piena et al. [28]. Bacterial products play an important role in initiating and amplifying all the major inflammatory pathways involved in ECMO-related SIRS [29]. Since the early development of intestinal mucosal barrier dysfunction and bacterial translocation on initiation of ECMO, it is more likely that intestinal epithelial barrier injury acts as a primary initiator or amplifier of ECMO-related SIRS rather than an epiphenomenon reflecting loss of mucosal integrity. Concentrations of DAO and I-FABP were used as quantitative method to assess the intestinal epithelial function in this study. DAO is a kind of highly-active enzyme weight of 250 kD existed only in intestinal epithelium. About 95% of DAO locates in the intestinal villi of human and other mammals. It will transfer into peripheral blood in a stable state upon intestinal mucosal barrier dysfunction. I-FABP is low-molecular-weight protein specifically located in epithelial cells of small bowel mucosa which is rapidly released into the circulation after injury of intestinal mucosal barrier due to mesenteric ischemia and bowel necrosis [30]. DAO and I-FABP are excellent early marker for evaluating the severity of acute intestinal mucosa injury [31]. In 2004, Nobuo Tsunooka et al. [32] evaluated bacterial translocation secondary to small intestinal mucosal ischemia during cardiopulmonary bypass by serum level of DAO and peptidoglycan. DAO was used as an index of beneficial effect of continuous blood purification (CBP) on gut barrier dysfunction in another study [33]. In our study, after 2 h of CRRT, the intestine mucosal dysfunction indicated by significantly elevated serum level of DAO and I-FABP in E group declined and returned to almost the same level with C group at 24 h. Since the DAO and I-FABP level in filtrate did not elevate as CRRT continued, perhaps reaching a saturation limit, decrease of serum DAO and I-FABP level were due to improvement of intestine mucosal function instead of the clean-up effect. Because of the inherent characteristics of ECMO circuit to activate inflammatory pathways, elucidation of inflammatory pathways by CRRT is a critical step in the development of effective strategy to ECMO-related SIRS [34]. But the definitive mechanism of the protective effects of CRRT to ECMO-induced injury of intestinal epithelial barrier is not yet clear. Intestinal mucosal edema with epithelial swelling, cell-cell gap expanding, tight junction and desmosome loosening was clearly observed during ECMO. Optimal fluid status maintained by CRRT can effectively reduce the high permeability secondary to intestinal mucosal edema. Additionally, direct cytotoxic effects of massive inflammatory cells or cytokines and their role in the development of reactive oxygen species (ROS) and mitochondrial dysfunction may be another main reason for ECMO-associated intestinal epithelial barrier injury [23]. CRRT operates with the ability of inflammatory mediator elimination via several ways, including absorption, diffusion, and convection, dampening inflammatory response to preserve organ function [35,36]. Moreover, CRRT could ameliorate the gut barrier dysfunction by way of attenuating breakdown and reorganization of tight junction protein, such as occludin and zonula occludens-1, with increase of the inflammation-induced nitric oxide synthase (iNOS) mRNA levels and nitric oxide (NO) production which are implicated as factors contributing to cytoskeletal instability and injury [33,37]. Phosphodiesterase inhibition is another possible mechanism of CRRT-mediated attenuation of gut barrier injury [38,39]. Further studies are warrented to identify specific mediators and pathways of the protective effects of CRRT on intestinal epithelial barrier during ECMO. A high prevalence of acute renal failure requiring renal replacement therapy in patients treated with ECMO has been observed [40,41]. Expanding CRRT to non-renal indications, such as cardopulmonary bypass and sepsis, based on elimination of inflammatory mediators has been suggested [42]. Our study provides an additional evidence to initiate CRRT during VV ECMO before renal dysfunction. However, there are some underlying matters and limitations of this study. Similar to other studies, our experimental timeline spanned only 24 h and may limit its applicability in clinical practice where ECMO therapy lasts for days to weeks. The effect of longterm consequences of this strategy on enterogenic infection, general intestinal function, hemodynamic alteration and oxygen utilization warrant further study. The differences between patient populations (human vs. porcine) as well as the influence of underlying disease processes or pathological factors on intestinal mucosal barrier function are suspected in respect that health animals were used in this study. Conclusions: In conclusion, the results of our study indicated that damage of intestinal mucosal barrier function with loss of epithelial tight junction leading to bacterial translocation is induced during VV ECMO therapy. The combined use of VV ECMO and CRRT can alleviate levels of intestinal mucosal barrier dysfunction and related bacterial translocation, which may extenuate the ECMO-associated SIRS and raise the effect and safety of VV ECMO. Abbreviations: ECMO: Extracorporeal membrane oxygenation; CRRT: Continuous renal replacement therapies; VV ECMO: Venovenous extracorporeal membrane oxygenation; DAO: Diamine oxidase; I-FABP: Fatty acid binding protein; MODS: Multiple organ dysfunction syndrome; ACT: Activated clotting time; CBP: Continuous blood purification; ROS: Reactive oxygen species; iNOS: Induced nitric oxide synthase; NO: Nitric oxide; SIRS: Systemic inflammatory response syndrome. Competing interests: The authors declare that they have no competing interests. Authors’ contributions: CH, SY and WY are co-first authors and completed most the scientific work and drafted the manuscript. JS, QC performed the model of ECMO. JS completed the statistic work. YH helped the first authors to finish the study. XW, NL, JL helped to conceptualize and design the study and NL was corresponding author for the paper. All authors read and approved the final manuscript. Authors’ information: Changsheng He, Shuofei Yang and Wenkui Yu are the co-first authors.
Background: Extracorporeal membrane oxygenation (ECMO) has been recommended for treatment of acute, potentially reversible, life-threatening respiratory failure unresponsive to conventional therapy. Intestinal mucosal barrier dysfunction is one of the most critical pathophysiological disorders during ECMO. This study aimed to determine whether combination with CRRT could alleviate damage of intestinal mucosal barrier function during VV ECMO in a porcine model. Methods: Twenty-four piglets were randomly divided into control(C), sham(S), ECMO(E) and ECMO + CRRT(EC) group. The animals were treated with ECMO or ECMO + CRRT for 24 hours. After the experiments, piglets were sacrificed. Jejunum, ileum and colon were harvested for morphologic examination of mucosal injury and ultrastructural distortion. Histological scoring was assessed according to Chiu's scoring standard. Blood samples were taken from the animals at -1, 2, 6, 12 and 24 h during experiment. Blood, liver, spleen, kidney and mesenteric lymphnode were collected for bacterial culture. Serum concentrations of diamine oxidase (DAO) and intestinal fatty acid binding protein (I-FABP) were tested as markers to assess intestinal epithelial function and permeability. DAO levels were determined by spectrophotometry and I-FABP levels by enzyme linked immunosorbent assay. Results: Microscopy findings showed that ECMO-induced intestinal microvillus shedding and edema, morphological distortion of tight junction between intestinal mucous epithelium and loose cell-cell junctions were significantly improved with combination of CRRT. No significance was detected on positive rate of serum bacterial culture. The elevated colonies of bacterial culture in liver and mesenteric lymphnode in E group reduced significantly in EC group (p < 0.05). Compared with E group, EC group showed significantly decreased level of serum DAO and I-FABP (p < 0.05). Conclusions: CRRT can alleviate the intestinal mucosal dysfunction and bacterial translocation during VV ECMO, which may extenuate the ECMO-associated SIRS and raise the clinical effect and safety.
Background: Extracorporeal membrane oxygenation (ECMO) has been considered as an effective means of treatment to unresponsive pulmonary hypertension, respiratory failure, sepsis, and emergency temporary cardiac support for almost 60 years [1,2]. With superiority for moribund patients, venovenous extracorporeal membrane oxygenation (VV ECMO) is recommended to support patients with severe but potentially reversible respiratory failure refractory to conventional therapy [3-6]. The encouraging results in the CESAR trial and remarkable effect of ECMO in 2009 H1N1 and 2013 H7N9 pandemichas brought it into the spotlight worldwide [7-10]. However, direct circulation of blood across synthetic surfaces escalates a pro-inflammatory response, further exacerbating a disease process that is already associated with the activation of the inflammatory cascade [11]. With much wider range of use, concerns remain about the near-universal occurrence of systemic inflammatory response syndrome (SIRS) during ECMO associated with considerable morbidity [12-17]. Intestine is the central part of systemic SIRS and a motor of multiple organ dysfunction syndrome (MODS) [18]. Rapid rise of plasma concentrations of inflammatory cytokines during ECMO-related SIRS is due to the release of pre-formed stores in the intestine [19]. Breakdown of mucosal barrier during ECMO increases intestinal permeability and allows translocation of intraluminal bacteria across the mucosa leading to distant organ injury [15]. Strategies to protect gut barrier function and thereby prevent bacterial translocation during ECMO merit comprehensive and further explorations. Continuous renal replacement therapy (CRRT) shows remarkable advantages in eliminating inflammatory mediators, dampening inflammatory response, preserving organ function and maintaining optimal fluid status during ECMO with well clinical tolerance in a hemodynamically unstable condition [20-22]. ECMO-associated organ lesion of myocardium and kidney was proven to be extenuated with CRRT [23]. As far as we know, this is the first study designed to investigate whether CRRT could alleviate the gut mucosal dysfunction and intestinal epithelial barrier loss in a swine model so as to provide an approach to improve the clinical effect and relieve the risk of VV ECMO therapy. Conclusions: In conclusion, the results of our study indicated that damage of intestinal mucosal barrier function with loss of epithelial tight junction leading to bacterial translocation is induced during VV ECMO therapy. The combined use of VV ECMO and CRRT can alleviate levels of intestinal mucosal barrier dysfunction and related bacterial translocation, which may extenuate the ECMO-associated SIRS and raise the effect and safety of VV ECMO.
Background: Extracorporeal membrane oxygenation (ECMO) has been recommended for treatment of acute, potentially reversible, life-threatening respiratory failure unresponsive to conventional therapy. Intestinal mucosal barrier dysfunction is one of the most critical pathophysiological disorders during ECMO. This study aimed to determine whether combination with CRRT could alleviate damage of intestinal mucosal barrier function during VV ECMO in a porcine model. Methods: Twenty-four piglets were randomly divided into control(C), sham(S), ECMO(E) and ECMO + CRRT(EC) group. The animals were treated with ECMO or ECMO + CRRT for 24 hours. After the experiments, piglets were sacrificed. Jejunum, ileum and colon were harvested for morphologic examination of mucosal injury and ultrastructural distortion. Histological scoring was assessed according to Chiu's scoring standard. Blood samples were taken from the animals at -1, 2, 6, 12 and 24 h during experiment. Blood, liver, spleen, kidney and mesenteric lymphnode were collected for bacterial culture. Serum concentrations of diamine oxidase (DAO) and intestinal fatty acid binding protein (I-FABP) were tested as markers to assess intestinal epithelial function and permeability. DAO levels were determined by spectrophotometry and I-FABP levels by enzyme linked immunosorbent assay. Results: Microscopy findings showed that ECMO-induced intestinal microvillus shedding and edema, morphological distortion of tight junction between intestinal mucous epithelium and loose cell-cell junctions were significantly improved with combination of CRRT. No significance was detected on positive rate of serum bacterial culture. The elevated colonies of bacterial culture in liver and mesenteric lymphnode in E group reduced significantly in EC group (p < 0.05). Compared with E group, EC group showed significantly decreased level of serum DAO and I-FABP (p < 0.05). Conclusions: CRRT can alleviate the intestinal mucosal dysfunction and bacterial translocation during VV ECMO, which may extenuate the ECMO-associated SIRS and raise the clinical effect and safety.
10,710
377
[ 392, 290, 149, 197, 98, 50, 231, 190, 177, 666, 354, 508, 79, 10, 76, 15 ]
20
[ "group", "ecmo", "01", "bacterial", "crrt", "ec group", "ec", "dao", "05", "fabp" ]
[ "ecmo extracorporeal", "inflammatory cytokines ecmo", "venovenous extracorporeal membrane", "patients venovenous extracorporeal", "respiratory failure sepsis" ]
[CONTENT] Extracorporeal membrane oxygenation (ECMO) | Continuous renal replacement treatment (CRRT) | Systemic inflammatory response syndrome (SIRS) | Intestinal mucosal barrier function [SUMMARY]
[CONTENT] Extracorporeal membrane oxygenation (ECMO) | Continuous renal replacement treatment (CRRT) | Systemic inflammatory response syndrome (SIRS) | Intestinal mucosal barrier function [SUMMARY]
[CONTENT] Extracorporeal membrane oxygenation (ECMO) | Continuous renal replacement treatment (CRRT) | Systemic inflammatory response syndrome (SIRS) | Intestinal mucosal barrier function [SUMMARY]
[CONTENT] Extracorporeal membrane oxygenation (ECMO) | Continuous renal replacement treatment (CRRT) | Systemic inflammatory response syndrome (SIRS) | Intestinal mucosal barrier function [SUMMARY]
[CONTENT] Extracorporeal membrane oxygenation (ECMO) | Continuous renal replacement treatment (CRRT) | Systemic inflammatory response syndrome (SIRS) | Intestinal mucosal barrier function [SUMMARY]
[CONTENT] Extracorporeal membrane oxygenation (ECMO) | Continuous renal replacement treatment (CRRT) | Systemic inflammatory response syndrome (SIRS) | Intestinal mucosal barrier function [SUMMARY]
[CONTENT] Animals | Bacterial Translocation | Disease Models, Animal | Extracorporeal Membrane Oxygenation | Fatty Acid-Binding Proteins | Intestinal Mucosa | Microscopy, Electron, Transmission | Permeability | Renal Replacement Therapy | Swine | Systemic Inflammatory Response Syndrome [SUMMARY]
[CONTENT] Animals | Bacterial Translocation | Disease Models, Animal | Extracorporeal Membrane Oxygenation | Fatty Acid-Binding Proteins | Intestinal Mucosa | Microscopy, Electron, Transmission | Permeability | Renal Replacement Therapy | Swine | Systemic Inflammatory Response Syndrome [SUMMARY]
[CONTENT] Animals | Bacterial Translocation | Disease Models, Animal | Extracorporeal Membrane Oxygenation | Fatty Acid-Binding Proteins | Intestinal Mucosa | Microscopy, Electron, Transmission | Permeability | Renal Replacement Therapy | Swine | Systemic Inflammatory Response Syndrome [SUMMARY]
[CONTENT] Animals | Bacterial Translocation | Disease Models, Animal | Extracorporeal Membrane Oxygenation | Fatty Acid-Binding Proteins | Intestinal Mucosa | Microscopy, Electron, Transmission | Permeability | Renal Replacement Therapy | Swine | Systemic Inflammatory Response Syndrome [SUMMARY]
[CONTENT] Animals | Bacterial Translocation | Disease Models, Animal | Extracorporeal Membrane Oxygenation | Fatty Acid-Binding Proteins | Intestinal Mucosa | Microscopy, Electron, Transmission | Permeability | Renal Replacement Therapy | Swine | Systemic Inflammatory Response Syndrome [SUMMARY]
[CONTENT] Animals | Bacterial Translocation | Disease Models, Animal | Extracorporeal Membrane Oxygenation | Fatty Acid-Binding Proteins | Intestinal Mucosa | Microscopy, Electron, Transmission | Permeability | Renal Replacement Therapy | Swine | Systemic Inflammatory Response Syndrome [SUMMARY]
[CONTENT] ecmo extracorporeal | inflammatory cytokines ecmo | venovenous extracorporeal membrane | patients venovenous extracorporeal | respiratory failure sepsis [SUMMARY]
[CONTENT] ecmo extracorporeal | inflammatory cytokines ecmo | venovenous extracorporeal membrane | patients venovenous extracorporeal | respiratory failure sepsis [SUMMARY]
[CONTENT] ecmo extracorporeal | inflammatory cytokines ecmo | venovenous extracorporeal membrane | patients venovenous extracorporeal | respiratory failure sepsis [SUMMARY]
[CONTENT] ecmo extracorporeal | inflammatory cytokines ecmo | venovenous extracorporeal membrane | patients venovenous extracorporeal | respiratory failure sepsis [SUMMARY]
[CONTENT] ecmo extracorporeal | inflammatory cytokines ecmo | venovenous extracorporeal membrane | patients venovenous extracorporeal | respiratory failure sepsis [SUMMARY]
[CONTENT] ecmo extracorporeal | inflammatory cytokines ecmo | venovenous extracorporeal membrane | patients venovenous extracorporeal | respiratory failure sepsis [SUMMARY]
[CONTENT] group | ecmo | 01 | bacterial | crrt | ec group | ec | dao | 05 | fabp [SUMMARY]
[CONTENT] group | ecmo | 01 | bacterial | crrt | ec group | ec | dao | 05 | fabp [SUMMARY]
[CONTENT] group | ecmo | 01 | bacterial | crrt | ec group | ec | dao | 05 | fabp [SUMMARY]
[CONTENT] group | ecmo | 01 | bacterial | crrt | ec group | ec | dao | 05 | fabp [SUMMARY]
[CONTENT] group | ecmo | 01 | bacterial | crrt | ec group | ec | dao | 05 | fabp [SUMMARY]
[CONTENT] group | ecmo | 01 | bacterial | crrt | ec group | ec | dao | 05 | fabp [SUMMARY]
[CONTENT] inflammatory | ecmo | organ | associated | response | inflammatory response | sirs | support | respiratory failure | remarkable [SUMMARY]
[CONTENT] kg | group | ml | ecmo | vein | cannulae | culture | performed | mg | mg kg [SUMMARY]
[CONTENT] group | 01 | ec group | ec | compared | 05 | mucosa | significantly | group 01 | ileal [SUMMARY]
[CONTENT] ecmo | vv | vv ecmo | intestinal mucosal barrier | intestinal mucosal | mucosal barrier | mucosal | bacterial translocation | translocation | barrier [SUMMARY]
[CONTENT] group | ecmo | bacterial | 01 | kg | dao | culture | crrt | authors | fabp [SUMMARY]
[CONTENT] group | ecmo | bacterial | 01 | kg | dao | culture | crrt | authors | fabp [SUMMARY]
[CONTENT] ECMO ||| ECMO ||| CRRT [SUMMARY]
[CONTENT] Twenty-four | ECMO(E | ECMO ||| ECMO | ECMO | 24 hours ||| ||| Jejunum ||| Chiu ||| -1 | 2 | 6 | 12 | 24 ||| ||| ||| DAO [SUMMARY]
[CONTENT] ECMO | CRRT ||| ||| EC | 0.05 ||| EC | 0.05 [SUMMARY]
[CONTENT] ECMO | SIRS [SUMMARY]
[CONTENT] ECMO ||| ECMO ||| CRRT ||| Twenty-four | ECMO(E | ECMO ||| ECMO | ECMO | 24 hours ||| ||| Jejunum ||| Chiu ||| -1 | 2 | 6 | 12 | 24 ||| ||| ||| DAO ||| ECMO | CRRT ||| ||| EC | 0.05 ||| EC | 0.05 ||| ECMO | SIRS [SUMMARY]
[CONTENT] ECMO ||| ECMO ||| CRRT ||| Twenty-four | ECMO(E | ECMO ||| ECMO | ECMO | 24 hours ||| ||| Jejunum ||| Chiu ||| -1 | 2 | 6 | 12 | 24 ||| ||| ||| DAO ||| ECMO | CRRT ||| ||| EC | 0.05 ||| EC | 0.05 ||| ECMO | SIRS [SUMMARY]
Naringin attenuates acute myocardial ischemia-reperfusion injury via miR- 126/GSK-3β/β-catenin signaling pathway.
35416858
Myocardial ischemia-reperfusion (I/R) injury is one of the mechanisms contributing to the high mortality rate of acute myocardial infarction.
INTRODUCTION
AC16 cells (human cardiomyocyte cell line) were subjected to oxygen-glucose deprivation/recovery (OGD/R) treatment and/or naringin pretreatment. Then, the apoptosis was examined by flow cytometry and Western blotting. The concentration of IL-6, IL-8 and TNF-α was measured by enzyme-linked immunosorbent assay (ELISA) kits. How naringin influenced microRNA expression was examined by microarrays and quantitative real-time polymerase chain reaction (qRT-PCR). Dual luciferase reporter assay was employed to evaluate the interaction between miR-126 and GSK-3β. The GSK-3β/β-catenin signaling pathway was examined by Western blotting. Finally, rat myocardial I/R model was created to examine the effects of naringin in vivo.
METHODS
Naringin pretreatment significantly decreased the cytokine release and apoptosis of cardiomyocytes exposed to OGD/R. Bioinformatical analysis revealed that naringin upregulated miR-126 expression considerably. Also, it was found that miR-126 can bind GSK-3β and downregulate its expression, suggesting that naringin could decrease GSK-3β activity. Next, we discovered that naringin increased β-catenin activity in cardiomyocytes treated with OGD/R by inhibiting GSK-3β expression. Our animal experiments showed that naringin pre-treatment or miR-126 agomir alleviated myocardial I/R.
RESULTS
Naringin preconditioning can reduce myocardial I/R injury via regulating miR-126/GSK-3β/β-catenin signaling pathway, and this chemical can be used to treat acute myocardial infarction.
CONCLUSIONS
[ "Animals", "Apoptosis", "Flavanones", "Glycogen Synthase Kinase 3 beta", "MicroRNAs", "Myocardial Infarction", "Myocardial Reperfusion Injury", "Rats", "Signal Transduction", "beta Catenin" ]
9000977
Introduction
It has been estimated that nearly ischemic heart disease (IHD) has affected 1.72% of the total world population, and its incidence worldwide keeps increasing1. From a pathological perspective, IHD is mainly caused by the reduced blood supply to heart. Therefore, two revascularization strategies–percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG)–have been invented2. Yet, these two revascularization methods carry the risk of cardiac ischemia/reperfusion (I/R) injury. During I/R, there are increased oxidative stress, inflammatory response, and impaired autophagy3. To minimize heart damage, many treatment strategies have been created, for example, suppressing immune response, and decreasing high-blood pressure4. Despite these advances, the mortality of IHD remains very high, which requires novel treatments. Naringin, which is a natural flavanone glycoside, is a main active chemical component from Chinese herbs such as Drynaria fortunei and Citrus aurantium 5. It has been proven to promote bone generation, suppress inflammation, inhibit cancer growth, attenuate oxidative stress, regulate cell metabolism, and improve neurodegenerative diseases6 , 7. Also, naringin shows protective effects on cardiovascular diseases. For example, it can attenuate the toxic effects of doxorubicin and bisphenol on cardiomyocytes via regulating reactive oxygen species (ROS) level and p38/MAPK signaling pathway8 , 9. Another study showed that naringin could reduce cardiac inflammatory response10. Research in other fields has indicated that naringin can attenuate intestinal, testicular, and cerebral I/R injury11 - 13. Yet, its role in cardiac I/R injury remains unknown. Therefore, this research aimed to investigate if naringin could exert any protective effects on cardiac I/R injury. In this research, we hypothesized that naringin could attenuate cardiac I/R-induced injury. AC16 cells (human cardiomyocytes) were exposed to oxygen-glucose deprivation/recovery (OGD/R) treatment, and naringin was employed to pre-treat AC16 cells. In addition, rat I/R model was constructed to validate our findings in vitro. The following is what we have discovered: naringin ameliorates OGD/R-induced apoptosis and inflammation of cardiomyocytes; naringin can modulate GSK-3β/β-catenin signaling pathway via miR-126; miR-126 can bind GSK-3β; naringin can alleviate cardiac I/R injury in vivo. These findings suggest that naringin has therapeutic potential to minimize cardiac I/R injury.
Methods
Cells and cell culture AC16 cells (human cardiomyocytes) were bought from the cell bank of the Institute of Biochemistry and Cell Biology of the Chinese Academy of Sciences (Shanghai, China). These cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM) (Sigma-Aldrich, United States of America) with 10% fetal bovine serum (Gibco, United States of America). AC16 cells were incubated at 37°C in a humid atmosphere with 5% CO2 and would be passaged or used for further experiments when the confluence reached 70-80%. AC16 cells (human cardiomyocytes) were bought from the cell bank of the Institute of Biochemistry and Cell Biology of the Chinese Academy of Sciences (Shanghai, China). These cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM) (Sigma-Aldrich, United States of America) with 10% fetal bovine serum (Gibco, United States of America). AC16 cells were incubated at 37°C in a humid atmosphere with 5% CO2 and would be passaged or used for further experiments when the confluence reached 70-80%. Cardiomyocyte oxygen-glucose deprivation/recovery model construction Our OGD/R model was established as previously described15. AC16 cells were initially cultured in DMEM at 37°C and 20% O2. Then, they were washed with phosphate buffer saline (PBS) and incubated with glucose-free and serum-free DMEM medium at 37°C under 2% O2 for 6 h to induce in-vitro ischemia. After that, these cells were then cultured in DMEM with 10% FBS at 37°C under 20% O2 for 6 h to simulate reperfusion. The control group was always cultured in normal conditions (37°C and 20% O2). To test the effects of naringin on AC16 cells, they were pretreated with naringin and then underwent the induction of ischemia and reperfusion. Naringin was bought from MedChemExpress (United States of America) (Cat. No: HY-N0153), and its purity was more than 98% according to the manufacturer’s instructions. Our OGD/R model was established as previously described15. AC16 cells were initially cultured in DMEM at 37°C and 20% O2. Then, they were washed with phosphate buffer saline (PBS) and incubated with glucose-free and serum-free DMEM medium at 37°C under 2% O2 for 6 h to induce in-vitro ischemia. After that, these cells were then cultured in DMEM with 10% FBS at 37°C under 20% O2 for 6 h to simulate reperfusion. The control group was always cultured in normal conditions (37°C and 20% O2). To test the effects of naringin on AC16 cells, they were pretreated with naringin and then underwent the induction of ischemia and reperfusion. Naringin was bought from MedChemExpress (United States of America) (Cat. No: HY-N0153), and its purity was more than 98% according to the manufacturer’s instructions. Cell transfection MiR-129 mimic, mimic negative control (NC), miR-129 inhibitor and inhibitor negative control (NC) were compounded by Genomeditch (Shanghai, China). These oligonucleotides were transfected into AC16 cells at the concentration of 40 nm/L, based on the manufacture’s protocol. Lipofectamine 3000 (Invitrogen, United States of America) was employed as a transfection reagent. MiR-129 mimic, mimic negative control (NC), miR-129 inhibitor and inhibitor negative control (NC) were compounded by Genomeditch (Shanghai, China). These oligonucleotides were transfected into AC16 cells at the concentration of 40 nm/L, based on the manufacture’s protocol. Lipofectamine 3000 (Invitrogen, United States of America) was employed as a transfection reagent. Quantitative real-time polymerase chain reaction Trizol (Sigma-Aldrich, United States of America) was employed to obtain total RNA, and miRNA was obtained by using Molpure Cell/Tissue miRNA kit (Yeasen, Shanghai, China). In addition, mRNA was transcribed via Hifair III One Step quantitative real-time polymerase chain reaction (RT-qPCR) probe kit (Yeasen, Shanghai, China), and TaqMan MicroRNA reverse transcription kit (Invitrogen, United States of America) was used to transcribe miRNA. SYBR green was from Roche (Switzerland). U6 was the endogenous control for miRNAs, and GAPDH was the endogenous control for mRNA (Table 1). CCK-8 assay AC16 cells (40,000-60,000 cells per well) were placed onto 96-well plates and exposed to different concentration of naringin afterwards CCK-8 solution (Beyotime, China) was mixed with samples. Next, these cells would be cultured at room temperature for 10 min. After that, cell viability was measured according to manufacturer’s instruction. Trizol (Sigma-Aldrich, United States of America) was employed to obtain total RNA, and miRNA was obtained by using Molpure Cell/Tissue miRNA kit (Yeasen, Shanghai, China). In addition, mRNA was transcribed via Hifair III One Step quantitative real-time polymerase chain reaction (RT-qPCR) probe kit (Yeasen, Shanghai, China), and TaqMan MicroRNA reverse transcription kit (Invitrogen, United States of America) was used to transcribe miRNA. SYBR green was from Roche (Switzerland). U6 was the endogenous control for miRNAs, and GAPDH was the endogenous control for mRNA (Table 1). CCK-8 assay AC16 cells (40,000-60,000 cells per well) were placed onto 96-well plates and exposed to different concentration of naringin afterwards CCK-8 solution (Beyotime, China) was mixed with samples. Next, these cells would be cultured at room temperature for 10 min. After that, cell viability was measured according to manufacturer’s instruction. Enzyme-linked immunosorbent assay kits Enzyme-linked immunosorbent assay (ELISA) kits for detecting the concentration of IL-6, IL-8 and TNF-α were bought from Abcam (United Kingdom), and their respective catalogue numbers were ab178013, ab214030, and ab181421. Cytokines were extracted from the supernatant following the protocols provided by Abcam. After that, ELISA kits were employed to detect the concentration of cytokines. Enzyme-linked immunosorbent assay (ELISA) kits for detecting the concentration of IL-6, IL-8 and TNF-α were bought from Abcam (United Kingdom), and their respective catalogue numbers were ab178013, ab214030, and ab181421. Cytokines were extracted from the supernatant following the protocols provided by Abcam. After that, ELISA kits were employed to detect the concentration of cytokines. Dual luciferase reporter activity assay Initially, AC16 cells were plated onto 96-well plates. When their confluence grew to 60-70%, AC16 cells were co-transfected with pGL3-GSK3B-WT or pGL3-GSK3B-MUT and miR-129 mimic NC, miR-129 mimics, miR-129 inhibitor NC or miR-129inhibitor, respectively. At 48 h after the transfection, the luciferase activity of these samples was examined according to Promega’s instructions. Initially, AC16 cells were plated onto 96-well plates. When their confluence grew to 60-70%, AC16 cells were co-transfected with pGL3-GSK3B-WT or pGL3-GSK3B-MUT and miR-129 mimic NC, miR-129 mimics, miR-129 inhibitor NC or miR-129inhibitor, respectively. At 48 h after the transfection, the luciferase activity of these samples was examined according to Promega’s instructions. Western blotting Cell lysates were obtained via utilizing radioimmunoprecipitation assay (RIPA) buffer (Beyotime, Shanghai, China) added with protease inhibitor cocktail (Beyotime, Shanghai, China). Proteins were loaded into SDS-PAGE gel. After electrophoresis, proteins were transferred onto polyvinylidene fluoride membrane (Thermo Fischer Scientific, United States of America). These membranes were blocked with 4% bovine serum albumin for 1 h at room temperature, after which they were incubated with primary antibodies at 4°C for about 24 h. Next, these membranes were incubated with the appropriate secondary antibodies at room temperature for around 1 h. Finally, protein bands would be visualized by excellent chemiluminescent substrate (ECL) kits (Millipore, United States of America). The primary antibodies against GSK-3β (1:1,000, Abcam, United Kingdom; ab32291), β-catenin (1:1,000, Abcam, United Kingdom; ab32572), cleaved caspase-3 (1:1,000, Abcam, United Kingdom; ab32042), BAX (1:1,000, Abcam, United Kingdom; ab32503), PCNA (1:1,000, Abcam, United Kingdom; ab92552), and GAPDH (1:1,000, Beyotime, China; AF1186) were used in this research. GAPDH was used as the internal control. Cell lysates were obtained via utilizing radioimmunoprecipitation assay (RIPA) buffer (Beyotime, Shanghai, China) added with protease inhibitor cocktail (Beyotime, Shanghai, China). Proteins were loaded into SDS-PAGE gel. After electrophoresis, proteins were transferred onto polyvinylidene fluoride membrane (Thermo Fischer Scientific, United States of America). These membranes were blocked with 4% bovine serum albumin for 1 h at room temperature, after which they were incubated with primary antibodies at 4°C for about 24 h. Next, these membranes were incubated with the appropriate secondary antibodies at room temperature for around 1 h. Finally, protein bands would be visualized by excellent chemiluminescent substrate (ECL) kits (Millipore, United States of America). The primary antibodies against GSK-3β (1:1,000, Abcam, United Kingdom; ab32291), β-catenin (1:1,000, Abcam, United Kingdom; ab32572), cleaved caspase-3 (1:1,000, Abcam, United Kingdom; ab32042), BAX (1:1,000, Abcam, United Kingdom; ab32503), PCNA (1:1,000, Abcam, United Kingdom; ab92552), and GAPDH (1:1,000, Beyotime, China; AF1186) were used in this research. GAPDH was used as the internal control. Flow cytometry In brief, FITC annexin V and PI (Thermo Fischer Scientific, United States of America) were added into each sample to stain cells. What came next was the incubation of these cells at about 24°C for 10 min and the stained cells would be analyzed. The data was processed by FlowJo (Three Star, United States of America). In brief, FITC annexin V and PI (Thermo Fischer Scientific, United States of America) were added into each sample to stain cells. What came next was the incubation of these cells at about 24°C for 10 min and the stained cells would be analyzed. The data was processed by FlowJo (Three Star, United States of America). Rat I/R model Our animal experiments were approved by the Ethical Committee of the Second Hospital, Cheeloo College of Medicine, Shandong University, and they were performed under the guidelines published by the committee. Twenty-eight Sprague-Dawley rat (3 months old, male, 200 g) were bought from our animal center and kept at animal rooms (10-h light/14-h dark cycle, 22-27°C, relative humidity: 40-60%) under sterile environment. These animals were randomly divided into four groups: The control group (n = 7); The I/R group (n = 7); The I/R + naringin co-treatment group (n = 7); The I/R + miR-129 agomir co-treatment group (agomirs were purchased from Genomeditch, Shanghai). In order to induce myocardial infarction, rats were initially anesthetized with ketamine (100 mg/kg i.p.). Two h before the induction of AMI, rats were intraperitoneally administered with naringin (50 mg/kg) or miR-129 agomir (50 mg/kg). Then, the left anterior descending coronary artery was exposed, and it was ligated with nylon sutures for 30 min. After that, the ligation was withdrawn to allow blood reperfusion, and rat’s chest wall was closed. After the procedure, rats were transferred to the animal facility for recovery. The hearts were collected on Days 1, 2, 3, 4, 5, 6, and 7. Rats were sacrificed by cervical dislocation, and tibia was collected for further research. Our animal experiments were approved by the Ethical Committee of the Second Hospital, Cheeloo College of Medicine, Shandong University, and they were performed under the guidelines published by the committee. Twenty-eight Sprague-Dawley rat (3 months old, male, 200 g) were bought from our animal center and kept at animal rooms (10-h light/14-h dark cycle, 22-27°C, relative humidity: 40-60%) under sterile environment. These animals were randomly divided into four groups: The control group (n = 7); The I/R group (n = 7); The I/R + naringin co-treatment group (n = 7); The I/R + miR-129 agomir co-treatment group (agomirs were purchased from Genomeditch, Shanghai). In order to induce myocardial infarction, rats were initially anesthetized with ketamine (100 mg/kg i.p.). Two h before the induction of AMI, rats were intraperitoneally administered with naringin (50 mg/kg) or miR-129 agomir (50 mg/kg). Then, the left anterior descending coronary artery was exposed, and it was ligated with nylon sutures for 30 min. After that, the ligation was withdrawn to allow blood reperfusion, and rat’s chest wall was closed. After the procedure, rats were transferred to the animal facility for recovery. The hearts were collected on Days 1, 2, 3, 4, 5, 6, and 7. Rats were sacrificed by cervical dislocation, and tibia was collected for further research. Hematoxylin-eosin staining and TUNEL staining In brief, 4% paraformaldehyde was used for fixing mouse heart tissue for 24 h. The hippocampus was embedded in paraffin, and 5-μm thick sections were obtained. Following hematoxylin-eosin (H&E) staining, tissue sections were observed under a microscope. Apoptosis was measured using a TUNEL assay kit (Invitrogen, United States of America). Images were analyzed by Image-Pro Plus 6. In brief, 4% paraformaldehyde was used for fixing mouse heart tissue for 24 h. The hippocampus was embedded in paraffin, and 5-μm thick sections were obtained. Following hematoxylin-eosin (H&E) staining, tissue sections were observed under a microscope. Apoptosis was measured using a TUNEL assay kit (Invitrogen, United States of America). Images were analyzed by Image-Pro Plus 6. Statistical methods Our data was analyzed by operating on GraphPad Prism 8.0 and illustrated as mean ± standard deviation (SD). All our experiments were performed five times independently. Student’s t-test and one-way analysis of variance (ANOVA, Bonferroni post hoc test) were adopted in our analysis, depending on the experiment. Two-tailed P < 0.05 was considered as carrying statistical significance. Our data was analyzed by operating on GraphPad Prism 8.0 and illustrated as mean ± standard deviation (SD). All our experiments were performed five times independently. Student’s t-test and one-way analysis of variance (ANOVA, Bonferroni post hoc test) were adopted in our analysis, depending on the experiment. Two-tailed P < 0.05 was considered as carrying statistical significance.
Results
Naringin reduces OGD/R-induced apoptosis and inflammation of cardiomyocytes To simulate AMI in vitro, AC16 cells were subjected to OGD/R. To test the efficacy of naringin, various concentrations of naringin were employed to pre-treat cardiomyocytes, and then cell viability was examined by CCK-8 assay. As it is shown in Fig. 1a, naringin increased the cell viability in a dosage-dependent way. The results of flow cytometry showed that the apoptotic percentage of AC16 cells could be significantly reduced by naringin (Fig. 1b). Also, the expression of cleaved caspase-3 and BAX was decreased by naringin (Fig. 1c). Therefore, we chose 200-μM naringin for the subsequent experiments. In the meantime, we tested the effects of naringin on the release of cytokines from AC16 cells. As it is illustrated in Fig. 1 d-f, the concentration of IL-6, IL-8, and TNF-α in AC16 cells was increased significantly following OGD/R treatment, whereas the concentration of these inflammatory factors was downregulated by naringin. Given these results, we thought that the apoptosis and inflammatory response of cardiomyocytes could be attenuated by naringin. To simulate AMI in vitro, AC16 cells were subjected to OGD/R. To test the efficacy of naringin, various concentrations of naringin were employed to pre-treat cardiomyocytes, and then cell viability was examined by CCK-8 assay. As it is shown in Fig. 1a, naringin increased the cell viability in a dosage-dependent way. The results of flow cytometry showed that the apoptotic percentage of AC16 cells could be significantly reduced by naringin (Fig. 1b). Also, the expression of cleaved caspase-3 and BAX was decreased by naringin (Fig. 1c). Therefore, we chose 200-μM naringin for the subsequent experiments. In the meantime, we tested the effects of naringin on the release of cytokines from AC16 cells. As it is illustrated in Fig. 1 d-f, the concentration of IL-6, IL-8, and TNF-α in AC16 cells was increased significantly following OGD/R treatment, whereas the concentration of these inflammatory factors was downregulated by naringin. Given these results, we thought that the apoptosis and inflammatory response of cardiomyocytes could be attenuated by naringin. Naringin exerts its anti-apoptotic and anti-inflammatory effects via miR-126 It was reported that naringin could modulate miR-126, so we hypothesized that naringin might regulate miR-126 to mediate its effects14. We found that the co-treatment of OGD/R and naringin increased miR-126 expression, when compared to the OGD/R treatment group (Fig. 2a). To explore the role of miR-126, the expression of miR-126 was upregulated or downregulated by transfecting AC16 cells with miR-126 mimic or miR-126 inhibitor (Fig. 2b). Following the transfection, these cells were subject to OGD/R and/ornaringin treatment. As it is displayed in Fig. 2 c-d, AC16 cells treated with OGD/R and miR-126 mimic transfection exhibited less apoptosis, in contrast to those exposed to OGD/R. Moreover, inhibiting miR-126 in AC16 cells which were treated with OGD/R resulted in to exaggerate apoptosis. Next, we found that AC16 cells treated with OGD/R and miR-126 mimic transfection exhibited reduced generation of IL-6, IL-8 and TNF-α, whereas downregulating miR-126 could promote the inflammatory response of AC16 cells (Fig. 2 e-g). These data suggest that miR-126 might mediate the anti-apoptotic and anti-inflammatory effects of naringin. It was reported that naringin could modulate miR-126, so we hypothesized that naringin might regulate miR-126 to mediate its effects14. We found that the co-treatment of OGD/R and naringin increased miR-126 expression, when compared to the OGD/R treatment group (Fig. 2a). To explore the role of miR-126, the expression of miR-126 was upregulated or downregulated by transfecting AC16 cells with miR-126 mimic or miR-126 inhibitor (Fig. 2b). Following the transfection, these cells were subject to OGD/R and/ornaringin treatment. As it is displayed in Fig. 2 c-d, AC16 cells treated with OGD/R and miR-126 mimic transfection exhibited less apoptosis, in contrast to those exposed to OGD/R. Moreover, inhibiting miR-126 in AC16 cells which were treated with OGD/R resulted in to exaggerate apoptosis. Next, we found that AC16 cells treated with OGD/R and miR-126 mimic transfection exhibited reduced generation of IL-6, IL-8 and TNF-α, whereas downregulating miR-126 could promote the inflammatory response of AC16 cells (Fig. 2 e-g). These data suggest that miR-126 might mediate the anti-apoptotic and anti-inflammatory effects of naringin. MiR-126 can target GSK3B To investigate the downstream effector of miR-126, we used StarBase, which could predict the binding sequence between miRNAs and genes. It was predicted that GSK3B could be bound by miR-126 (Fig. 3a). To confirm the interaction between miR-126 and GSK-3β, dual luciferase reporter assay was performed. AC16 cells were co-transfected with pGL3-GSK3B-WT and/or miR-126 mimic, mimic NC, miR-126 inhibitor, and inhibitor NC. AC16 cells with pGL3-GSK3B-WT and miR-126mimic transfected showed lower luciferase activity, in contrast to the control group (Fig. 3b). In addition, AC16 cells with pGL3-GSK3B-WT and miR-126 inhibitor transfected showed higher luciferase activity when compared to the control group (Fig. 3c). Moreover, it was discovered that GSK-3β expression was downregulated when AC16 cells were transfected with miR-126 mimic, but its expression was upregulated when AC16 cells were transfected with miR-126 inhibitor (Fig. 3d). These results indicate that miR-126 could directly modulate GSK-3β expression. To investigate the downstream effector of miR-126, we used StarBase, which could predict the binding sequence between miRNAs and genes. It was predicted that GSK3B could be bound by miR-126 (Fig. 3a). To confirm the interaction between miR-126 and GSK-3β, dual luciferase reporter assay was performed. AC16 cells were co-transfected with pGL3-GSK3B-WT and/or miR-126 mimic, mimic NC, miR-126 inhibitor, and inhibitor NC. AC16 cells with pGL3-GSK3B-WT and miR-126mimic transfected showed lower luciferase activity, in contrast to the control group (Fig. 3b). In addition, AC16 cells with pGL3-GSK3B-WT and miR-126 inhibitor transfected showed higher luciferase activity when compared to the control group (Fig. 3c). Moreover, it was discovered that GSK-3β expression was downregulated when AC16 cells were transfected with miR-126 mimic, but its expression was upregulated when AC16 cells were transfected with miR-126 inhibitor (Fig. 3d). These results indicate that miR-126 could directly modulate GSK-3β expression. Naringin attenuates oxygen-glucose deprivation/recovery-induced apoptosis of cardiomyocytes via GSK-3β/β-catenin signaling pathway Our previous research has suggested that naringin could regulate miR-126 and that miR-126 targets GSK-3β. Therefore, we hypothesized that naringin could modulate GSK-3β/β-catenin signaling. To confirm this, Western blotting was carried out. As it is shown in Fig. 4 a-b, OGD/R treatment increased the phosphorylation of GSK-3β and more β-catenin in AC16 cells. Yet, the co-treatment of OGD/R and naringin remarkably reduced the phosphorylation of GSK-3β, and the β-catenin expression was increased. Therefore, naringin could modulate the GSK-3β/β-catenin signaling pathway in cardiomyocytes. Our previous research has suggested that naringin could regulate miR-126 and that miR-126 targets GSK-3β. Therefore, we hypothesized that naringin could modulate GSK-3β/β-catenin signaling. To confirm this, Western blotting was carried out. As it is shown in Fig. 4 a-b, OGD/R treatment increased the phosphorylation of GSK-3β and more β-catenin in AC16 cells. Yet, the co-treatment of OGD/R and naringin remarkably reduced the phosphorylation of GSK-3β, and the β-catenin expression was increased. Therefore, naringin could modulate the GSK-3β/β-catenin signaling pathway in cardiomyocytes. Naringin ameliorates myocardial ischemia-reperfusion-induced damage via miR-126/GSK-3β signaling pathway To verify our findings in vivo, a rat I/R model was constructed. As it is illustrated in Fig. 5a, in the I/R treatment group, heart tissue appeared to be more swollen and disorganized, whereas the co-treatment of I/R and naringin reduced the inflammation. The results of TUNEL staining showed that naringin or miR-126 agomir treatment remarkably decreased the apoptosis of cardiomyocytes (Fig. 5b). Additionally, naringin or miR-126 agomir treatment reduced the mRNA expression levels of IL-6, IL-8, and TNF-α (Fig. 5 c-e), proving that naringin has anti-inflammatory effects on I/R. Next, we measured the activity of GSK-3β/β-catenin signaling in rat’s hearts. We discovered that naringin or miR-126 agomir decreased the phosphorylation of GSK-3β and promoted more β-catenin to enter nuclei in I/R rats (Fig. 5f). Thus, these data imply that I/R-induced heart damage and inflammation could be alleviated via miR-126/GSK-3β signaling pathway. To verify our findings in vivo, a rat I/R model was constructed. As it is illustrated in Fig. 5a, in the I/R treatment group, heart tissue appeared to be more swollen and disorganized, whereas the co-treatment of I/R and naringin reduced the inflammation. The results of TUNEL staining showed that naringin or miR-126 agomir treatment remarkably decreased the apoptosis of cardiomyocytes (Fig. 5b). Additionally, naringin or miR-126 agomir treatment reduced the mRNA expression levels of IL-6, IL-8, and TNF-α (Fig. 5 c-e), proving that naringin has anti-inflammatory effects on I/R. Next, we measured the activity of GSK-3β/β-catenin signaling in rat’s hearts. We discovered that naringin or miR-126 agomir decreased the phosphorylation of GSK-3β and promoted more β-catenin to enter nuclei in I/R rats (Fig. 5f). Thus, these data imply that I/R-induced heart damage and inflammation could be alleviated via miR-126/GSK-3β signaling pathway.
Conclusion
Naringin can attenuate the apoptosis and inflammation of cardiomyocytes via miR-126/GSK-3β/β-catenin signaling pathway during cardiac I/R injury, which would provide a new insight into pharmaceutical treatment of cardiac I/R.
[ "Cells and cell culture", "Cardiomyocyte oxygen-glucose deprivation/recovery model construction", "Cell transfection", "Quantitative real-time polymerase chain reaction", "Enzyme-linked immunosorbent assay kits", "Dual luciferase reporter activity assay", "Western blotting", "Flow cytometry", "Rat I/R model", "Hematoxylin-eosin staining and TUNEL staining", "Statistical methods", "Naringin reduces OGD/R-induced apoptosis and inflammation of\ncardiomyocytes", "Naringin exerts its anti-apoptotic and anti-inflammatory effects via\nmiR-126", "MiR-126 can target GSK3B", "Naringin attenuates oxygen-glucose deprivation/recovery-induced apoptosis of\ncardiomyocytes via GSK-3β/β-catenin signaling pathway", "Naringin ameliorates myocardial ischemia-reperfusion-induced damage via\nmiR-126/GSK-3β signaling pathway" ]
[ "AC16 cells (human cardiomyocytes) were bought from the cell bank of the Institute\nof Biochemistry and Cell Biology of the Chinese Academy of Sciences (Shanghai,\nChina). These cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM)\n(Sigma-Aldrich, United States of America) with 10% fetal bovine serum (Gibco,\nUnited States of America). AC16 cells were incubated at 37°C in a humid\natmosphere with 5% CO2 and would be passaged or used for further\nexperiments when the confluence reached 70-80%.", "Our OGD/R model was established as previously described15. AC16 cells were initially cultured in DMEM at 37°C and\n20% O2. Then, they were washed with phosphate buffer saline (PBS) and\nincubated with glucose-free and serum-free DMEM medium at 37°C under 2%\nO2 for 6 h to induce in-vitro ischemia. After\nthat, these cells were then cultured in DMEM with 10% FBS at 37°C under 20%\nO2 for 6 h to simulate reperfusion. The control group was always\ncultured in normal conditions (37°C and 20% O2). To test the effects\nof naringin on AC16 cells, they were pretreated with naringin and then underwent\nthe induction of ischemia and reperfusion. Naringin was bought from\nMedChemExpress (United States of America) (Cat. No: HY-N0153), and its purity\nwas more than 98% according to the manufacturer’s instructions.", "MiR-129 mimic, mimic negative control (NC), miR-129 inhibitor and inhibitor\nnegative control (NC) were compounded by Genomeditch (Shanghai, China). These\noligonucleotides were transfected into AC16 cells at the concentration of 40\nnm/L, based on the manufacture’s protocol. Lipofectamine 3000 (Invitrogen,\nUnited States of America) was employed as a transfection reagent.", "Trizol (Sigma-Aldrich, United States of America) was employed to obtain total\nRNA, and miRNA was obtained by using Molpure Cell/Tissue miRNA kit (Yeasen,\nShanghai, China). In addition, mRNA was transcribed via Hifair III One Step\nquantitative real-time polymerase chain reaction (RT-qPCR) probe kit (Yeasen,\nShanghai, China), and TaqMan MicroRNA reverse transcription kit (Invitrogen,\nUnited States of America) was used to transcribe miRNA. SYBR green was from\nRoche (Switzerland). U6 was the endogenous control for miRNAs, and GAPDH was the\nendogenous control for mRNA (Table\n1).\nCCK-8 assay\nAC16 cells (40,000-60,000 cells per well) were placed onto 96-well plates and\nexposed to different concentration of naringin afterwards CCK-8 solution\n(Beyotime, China) was mixed with samples. Next, these cells would be cultured at\nroom temperature for 10 min. After that, cell viability was measured according\nto manufacturer’s instruction.", "Enzyme-linked immunosorbent assay (ELISA) kits for detecting the concentration of\nIL-6, IL-8 and TNF-α were bought from Abcam (United Kingdom), and their\nrespective catalogue numbers were ab178013, ab214030, and ab181421. Cytokines\nwere extracted from the supernatant following the protocols provided by Abcam.\nAfter that, ELISA kits were employed to detect the concentration of\ncytokines.", "Initially, AC16 cells were plated onto 96-well plates. When their confluence grew\nto 60-70%, AC16 cells were co-transfected with pGL3-GSK3B-WT or pGL3-GSK3B-MUT\nand miR-129 mimic NC, miR-129 mimics, miR-129 inhibitor NC or miR-129inhibitor,\nrespectively. At 48 h after the transfection, the luciferase activity of these\nsamples was examined according to Promega’s instructions.", "Cell lysates were obtained via utilizing radioimmunoprecipitation assay (RIPA)\nbuffer (Beyotime, Shanghai, China) added with protease inhibitor cocktail\n(Beyotime, Shanghai, China). Proteins were loaded into SDS-PAGE gel. After\nelectrophoresis, proteins were transferred onto polyvinylidene fluoride membrane\n(Thermo Fischer Scientific, United States of America). These membranes were\nblocked with 4% bovine serum albumin for 1 h at room temperature, after which\nthey were incubated with primary antibodies at 4°C for about 24 h. Next, these\nmembranes were incubated with the appropriate secondary antibodies at room\ntemperature for around 1 h. Finally, protein bands would be visualized by\nexcellent chemiluminescent substrate (ECL) kits (Millipore, United States of\nAmerica). The primary antibodies against GSK-3β (1:1,000, Abcam, United Kingdom;\nab32291), β-catenin (1:1,000, Abcam, United Kingdom; ab32572), cleaved caspase-3\n(1:1,000, Abcam, United Kingdom; ab32042), BAX (1:1,000, Abcam, United Kingdom;\nab32503), PCNA (1:1,000, Abcam, United Kingdom; ab92552), and GAPDH (1:1,000,\nBeyotime, China; AF1186) were used in this research. GAPDH was used as the\ninternal control.", "In brief, FITC annexin V and PI (Thermo Fischer Scientific, United States of\nAmerica) were added into each sample to stain cells. What came next was the\nincubation of these cells at about 24°C for 10 min and the stained cells would\nbe analyzed. The data was processed by FlowJo (Three Star, United States of\nAmerica).", "Our animal experiments were approved by the Ethical Committee of the Second\nHospital, Cheeloo College of Medicine, Shandong University, and they were\nperformed under the guidelines published by the committee.\nTwenty-eight Sprague-Dawley rat (3 months old, male, 200 g) were bought from our\nanimal center and kept at animal rooms (10-h light/14-h dark cycle, 22-27°C,\nrelative humidity: 40-60%) under sterile environment. These animals were\nrandomly divided into four groups:\nThe control group (n = 7);\nThe I/R group (n = 7);\nThe I/R + naringin co-treatment group (n = 7);\nThe I/R + miR-129 agomir co-treatment group (agomirs were purchased from\nGenomeditch, Shanghai).\nIn order to induce myocardial infarction, rats were initially anesthetized with\nketamine (100 mg/kg i.p.). Two h before the induction of AMI, rats were\nintraperitoneally administered with naringin (50 mg/kg) or miR-129 agomir (50\nmg/kg). Then, the left anterior descending coronary artery was exposed, and it\nwas ligated with nylon sutures for 30 min. After that, the ligation was\nwithdrawn to allow blood reperfusion, and rat’s chest wall was closed. After the\nprocedure, rats were transferred to the animal facility for recovery. The hearts\nwere collected on Days 1, 2, 3, 4, 5, 6, and 7. Rats were sacrificed by cervical\ndislocation, and tibia was collected for further research.", "In brief, 4% paraformaldehyde was used for fixing mouse heart tissue for 24 h.\nThe hippocampus was embedded in paraffin, and 5-μm thick sections were obtained.\nFollowing hematoxylin-eosin (H&E) staining, tissue sections were observed\nunder a microscope. Apoptosis was measured using a TUNEL assay kit (Invitrogen,\nUnited States of America). Images were analyzed by Image-Pro Plus 6.", "Our data was analyzed by operating on GraphPad Prism 8.0 and illustrated as mean\n± standard deviation (SD). All our experiments were performed five times\nindependently. Student’s t-test and one-way analysis of variance (ANOVA,\nBonferroni post hoc test) were adopted in our analysis, depending on the\nexperiment. Two-tailed P < 0.05 was considered as carrying statistical\nsignificance.", "To simulate AMI in vitro, AC16 cells were subjected to OGD/R. To\ntest the efficacy of naringin, various concentrations of naringin were employed\nto pre-treat cardiomyocytes, and then cell viability was examined by CCK-8\nassay. As it is shown in Fig. 1a, naringin\nincreased the cell viability in a dosage-dependent way. The results of flow\ncytometry showed that the apoptotic percentage of AC16 cells could be\nsignificantly reduced by naringin (Fig.\n1b). Also, the expression of cleaved caspase-3 and BAX was decreased by\nnaringin (Fig. 1c). Therefore, we chose\n200-μM naringin for the subsequent experiments. In the meantime, we tested the\neffects of naringin on the release of cytokines from AC16 cells. As it is\nillustrated in Fig. 1\nd-f, the concentration of IL-6, IL-8, and\nTNF-α in AC16 cells was increased significantly following OGD/R treatment,\nwhereas the concentration of these inflammatory factors was downregulated by\nnaringin. Given these results, we thought that the apoptosis and inflammatory\nresponse of cardiomyocytes could be attenuated by naringin.", "It was reported that naringin could modulate miR-126, so we hypothesized that\nnaringin might regulate miR-126 to mediate its effects14. We found that the co-treatment of OGD/R and naringin\nincreased miR-126 expression, when compared to the OGD/R treatment group (Fig. 2a). To explore the role of miR-126,\nthe expression of miR-126 was upregulated or downregulated by transfecting AC16\ncells with miR-126 mimic or miR-126 inhibitor (Fig. 2b). Following the transfection, these cells were subject to\nOGD/R and/ornaringin treatment. As it is displayed in Fig. 2 c-d, AC16 cells treated with OGD/R and miR-126 mimic\ntransfection exhibited less apoptosis, in contrast to those exposed to OGD/R.\nMoreover, inhibiting miR-126 in AC16 cells which were treated with OGD/R\nresulted in to exaggerate apoptosis. Next, we found that AC16 cells treated with\nOGD/R and miR-126 mimic transfection exhibited reduced generation of IL-6, IL-8\nand TNF-α, whereas downregulating miR-126 could promote the inflammatory\nresponse of AC16 cells (Fig. 2 e-g). These\ndata suggest that miR-126 might mediate the anti-apoptotic and anti-inflammatory\neffects of naringin.", "To investigate the downstream effector of miR-126, we used StarBase, which could\npredict the binding sequence between miRNAs and genes. It was predicted that\nGSK3B could be bound by miR-126 (Fig. 3a).\nTo confirm the interaction between miR-126 and GSK-3β, dual luciferase reporter\nassay was performed. AC16 cells were co-transfected with pGL3-GSK3B-WT and/or\nmiR-126 mimic, mimic NC, miR-126 inhibitor, and inhibitor NC. AC16 cells with\npGL3-GSK3B-WT and miR-126mimic transfected showed lower luciferase activity, in\ncontrast to the control group (Fig. 3b).\nIn addition, AC16 cells with pGL3-GSK3B-WT and miR-126 inhibitor transfected\nshowed higher luciferase activity when compared to the control group (Fig. 3c). Moreover, it was discovered that\nGSK-3β expression was downregulated when AC16 cells were transfected with\nmiR-126 mimic, but its expression was upregulated when AC16 cells were\ntransfected with miR-126 inhibitor (Fig.\n3d). These results indicate that miR-126 could directly modulate\nGSK-3β expression.", "Our previous research has suggested that naringin could regulate miR-126 and that\nmiR-126 targets GSK-3β. Therefore, we hypothesized that naringin could modulate\nGSK-3β/β-catenin signaling. To confirm this, Western blotting was carried out.\nAs it is shown in Fig. 4 a-b, OGD/R\ntreatment increased the phosphorylation of GSK-3β and more β-catenin in AC16\ncells. Yet, the co-treatment of OGD/R and naringin remarkably reduced the\nphosphorylation of GSK-3β, and the β-catenin expression was increased.\nTherefore, naringin could modulate the GSK-3β/β-catenin signaling pathway in\ncardiomyocytes.", "To verify our findings in vivo, a rat I/R model was constructed.\nAs it is illustrated in Fig. 5a, in the\nI/R treatment group, heart tissue appeared to be more swollen and disorganized,\nwhereas the co-treatment of I/R and naringin reduced the inflammation. The\nresults of TUNEL staining showed that naringin or miR-126 agomir treatment\nremarkably decreased the apoptosis of cardiomyocytes (Fig. 5b). Additionally, naringin or miR-126 agomir\ntreatment reduced the mRNA expression levels of IL-6, IL-8, and TNF-α (Fig. 5 c-e), proving that naringin has\nanti-inflammatory effects on I/R. Next, we measured the activity of\nGSK-3β/β-catenin signaling in rat’s hearts. We discovered that naringin or\nmiR-126 agomir decreased the phosphorylation of GSK-3β and promoted more\nβ-catenin to enter nuclei in I/R rats (Fig.\n5f). Thus, these data imply that I/R-induced heart damage and\ninflammation could be alleviated via miR-126/GSK-3β signaling pathway." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Introduction", "Methods", "Cells and cell culture", "Cardiomyocyte oxygen-glucose deprivation/recovery model construction", "Cell transfection", "Quantitative real-time polymerase chain reaction", "Enzyme-linked immunosorbent assay kits", "Dual luciferase reporter activity assay", "Western blotting", "Flow cytometry", "Rat I/R model", "Hematoxylin-eosin staining and TUNEL staining", "Statistical methods", "Results", "Naringin reduces OGD/R-induced apoptosis and inflammation of\ncardiomyocytes", "Naringin exerts its anti-apoptotic and anti-inflammatory effects via\nmiR-126", "MiR-126 can target GSK3B", "Naringin attenuates oxygen-glucose deprivation/recovery-induced apoptosis of\ncardiomyocytes via GSK-3β/β-catenin signaling pathway", "Naringin ameliorates myocardial ischemia-reperfusion-induced damage via\nmiR-126/GSK-3β signaling pathway", "Discussion", "Conclusion" ]
[ "It has been estimated that nearly ischemic heart disease (IHD) has affected 1.72% of\nthe total world population, and its incidence worldwide keeps increasing1. From a pathological perspective, IHD is\nmainly caused by the reduced blood supply to heart. Therefore, two revascularization\nstrategies–percutaneous coronary intervention (PCI) and coronary artery bypass\ngrafting (CABG)–have been invented2. Yet,\nthese two revascularization methods carry the risk of cardiac ischemia/reperfusion\n(I/R) injury. During I/R, there are increased oxidative stress, inflammatory\nresponse, and impaired autophagy3. To\nminimize heart damage, many treatment strategies have been created, for example,\nsuppressing immune response, and decreasing high-blood pressure4. Despite these advances, the mortality of IHD remains very\nhigh, which requires novel treatments.\nNaringin, which is a natural flavanone glycoside, is a main active chemical component\nfrom Chinese herbs such as Drynaria fortunei and Citrus\naurantium\n5. It has been proven to promote bone\ngeneration, suppress inflammation, inhibit cancer growth, attenuate oxidative\nstress, regulate cell metabolism, and improve neurodegenerative diseases6\n,\n7. Also, naringin shows protective effects on\ncardiovascular diseases. For example, it can attenuate the toxic effects of\ndoxorubicin and bisphenol on cardiomyocytes via regulating reactive oxygen species\n(ROS) level and p38/MAPK signaling pathway8\n,\n9. Another study showed that naringin could\nreduce cardiac inflammatory response10.\nResearch in other fields has indicated that naringin can attenuate intestinal,\ntesticular, and cerebral I/R injury11\n-\n13. Yet, its role in cardiac I/R injury\nremains unknown. Therefore, this research aimed to investigate if naringin could\nexert any protective effects on cardiac I/R injury.\nIn this research, we hypothesized that naringin could attenuate cardiac I/R-induced\ninjury. AC16 cells (human cardiomyocytes) were exposed to oxygen-glucose\ndeprivation/recovery (OGD/R) treatment, and naringin was employed to pre-treat AC16\ncells. In addition, rat I/R model was constructed to validate our findings\nin vitro. The following is what we have discovered:\nnaringin ameliorates OGD/R-induced apoptosis and inflammation of\ncardiomyocytes;\nnaringin can modulate GSK-3β/β-catenin signaling pathway via miR-126;\nmiR-126 can bind GSK-3β;\nnaringin can alleviate cardiac I/R injury in vivo.\nThese findings suggest that naringin has therapeutic potential to minimize cardiac\nI/R injury.", "Cells and cell culture AC16 cells (human cardiomyocytes) were bought from the cell bank of the Institute\nof Biochemistry and Cell Biology of the Chinese Academy of Sciences (Shanghai,\nChina). These cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM)\n(Sigma-Aldrich, United States of America) with 10% fetal bovine serum (Gibco,\nUnited States of America). AC16 cells were incubated at 37°C in a humid\natmosphere with 5% CO2 and would be passaged or used for further\nexperiments when the confluence reached 70-80%.\nAC16 cells (human cardiomyocytes) were bought from the cell bank of the Institute\nof Biochemistry and Cell Biology of the Chinese Academy of Sciences (Shanghai,\nChina). These cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM)\n(Sigma-Aldrich, United States of America) with 10% fetal bovine serum (Gibco,\nUnited States of America). AC16 cells were incubated at 37°C in a humid\natmosphere with 5% CO2 and would be passaged or used for further\nexperiments when the confluence reached 70-80%.\nCardiomyocyte oxygen-glucose deprivation/recovery model construction Our OGD/R model was established as previously described15. AC16 cells were initially cultured in DMEM at 37°C and\n20% O2. Then, they were washed with phosphate buffer saline (PBS) and\nincubated with glucose-free and serum-free DMEM medium at 37°C under 2%\nO2 for 6 h to induce in-vitro ischemia. After\nthat, these cells were then cultured in DMEM with 10% FBS at 37°C under 20%\nO2 for 6 h to simulate reperfusion. The control group was always\ncultured in normal conditions (37°C and 20% O2). To test the effects\nof naringin on AC16 cells, they were pretreated with naringin and then underwent\nthe induction of ischemia and reperfusion. Naringin was bought from\nMedChemExpress (United States of America) (Cat. No: HY-N0153), and its purity\nwas more than 98% according to the manufacturer’s instructions.\nOur OGD/R model was established as previously described15. AC16 cells were initially cultured in DMEM at 37°C and\n20% O2. Then, they were washed with phosphate buffer saline (PBS) and\nincubated with glucose-free and serum-free DMEM medium at 37°C under 2%\nO2 for 6 h to induce in-vitro ischemia. After\nthat, these cells were then cultured in DMEM with 10% FBS at 37°C under 20%\nO2 for 6 h to simulate reperfusion. The control group was always\ncultured in normal conditions (37°C and 20% O2). To test the effects\nof naringin on AC16 cells, they were pretreated with naringin and then underwent\nthe induction of ischemia and reperfusion. Naringin was bought from\nMedChemExpress (United States of America) (Cat. No: HY-N0153), and its purity\nwas more than 98% according to the manufacturer’s instructions.\nCell transfection MiR-129 mimic, mimic negative control (NC), miR-129 inhibitor and inhibitor\nnegative control (NC) were compounded by Genomeditch (Shanghai, China). These\noligonucleotides were transfected into AC16 cells at the concentration of 40\nnm/L, based on the manufacture’s protocol. Lipofectamine 3000 (Invitrogen,\nUnited States of America) was employed as a transfection reagent.\nMiR-129 mimic, mimic negative control (NC), miR-129 inhibitor and inhibitor\nnegative control (NC) were compounded by Genomeditch (Shanghai, China). These\noligonucleotides were transfected into AC16 cells at the concentration of 40\nnm/L, based on the manufacture’s protocol. Lipofectamine 3000 (Invitrogen,\nUnited States of America) was employed as a transfection reagent.\nQuantitative real-time polymerase chain reaction Trizol (Sigma-Aldrich, United States of America) was employed to obtain total\nRNA, and miRNA was obtained by using Molpure Cell/Tissue miRNA kit (Yeasen,\nShanghai, China). In addition, mRNA was transcribed via Hifair III One Step\nquantitative real-time polymerase chain reaction (RT-qPCR) probe kit (Yeasen,\nShanghai, China), and TaqMan MicroRNA reverse transcription kit (Invitrogen,\nUnited States of America) was used to transcribe miRNA. SYBR green was from\nRoche (Switzerland). U6 was the endogenous control for miRNAs, and GAPDH was the\nendogenous control for mRNA (Table\n1).\nCCK-8 assay\nAC16 cells (40,000-60,000 cells per well) were placed onto 96-well plates and\nexposed to different concentration of naringin afterwards CCK-8 solution\n(Beyotime, China) was mixed with samples. Next, these cells would be cultured at\nroom temperature for 10 min. After that, cell viability was measured according\nto manufacturer’s instruction.\nTrizol (Sigma-Aldrich, United States of America) was employed to obtain total\nRNA, and miRNA was obtained by using Molpure Cell/Tissue miRNA kit (Yeasen,\nShanghai, China). In addition, mRNA was transcribed via Hifair III One Step\nquantitative real-time polymerase chain reaction (RT-qPCR) probe kit (Yeasen,\nShanghai, China), and TaqMan MicroRNA reverse transcription kit (Invitrogen,\nUnited States of America) was used to transcribe miRNA. SYBR green was from\nRoche (Switzerland). U6 was the endogenous control for miRNAs, and GAPDH was the\nendogenous control for mRNA (Table\n1).\nCCK-8 assay\nAC16 cells (40,000-60,000 cells per well) were placed onto 96-well plates and\nexposed to different concentration of naringin afterwards CCK-8 solution\n(Beyotime, China) was mixed with samples. Next, these cells would be cultured at\nroom temperature for 10 min. After that, cell viability was measured according\nto manufacturer’s instruction.\nEnzyme-linked immunosorbent assay kits Enzyme-linked immunosorbent assay (ELISA) kits for detecting the concentration of\nIL-6, IL-8 and TNF-α were bought from Abcam (United Kingdom), and their\nrespective catalogue numbers were ab178013, ab214030, and ab181421. Cytokines\nwere extracted from the supernatant following the protocols provided by Abcam.\nAfter that, ELISA kits were employed to detect the concentration of\ncytokines.\nEnzyme-linked immunosorbent assay (ELISA) kits for detecting the concentration of\nIL-6, IL-8 and TNF-α were bought from Abcam (United Kingdom), and their\nrespective catalogue numbers were ab178013, ab214030, and ab181421. Cytokines\nwere extracted from the supernatant following the protocols provided by Abcam.\nAfter that, ELISA kits were employed to detect the concentration of\ncytokines.\nDual luciferase reporter activity assay Initially, AC16 cells were plated onto 96-well plates. When their confluence grew\nto 60-70%, AC16 cells were co-transfected with pGL3-GSK3B-WT or pGL3-GSK3B-MUT\nand miR-129 mimic NC, miR-129 mimics, miR-129 inhibitor NC or miR-129inhibitor,\nrespectively. At 48 h after the transfection, the luciferase activity of these\nsamples was examined according to Promega’s instructions.\nInitially, AC16 cells were plated onto 96-well plates. When their confluence grew\nto 60-70%, AC16 cells were co-transfected with pGL3-GSK3B-WT or pGL3-GSK3B-MUT\nand miR-129 mimic NC, miR-129 mimics, miR-129 inhibitor NC or miR-129inhibitor,\nrespectively. At 48 h after the transfection, the luciferase activity of these\nsamples was examined according to Promega’s instructions.\nWestern blotting Cell lysates were obtained via utilizing radioimmunoprecipitation assay (RIPA)\nbuffer (Beyotime, Shanghai, China) added with protease inhibitor cocktail\n(Beyotime, Shanghai, China). Proteins were loaded into SDS-PAGE gel. After\nelectrophoresis, proteins were transferred onto polyvinylidene fluoride membrane\n(Thermo Fischer Scientific, United States of America). These membranes were\nblocked with 4% bovine serum albumin for 1 h at room temperature, after which\nthey were incubated with primary antibodies at 4°C for about 24 h. Next, these\nmembranes were incubated with the appropriate secondary antibodies at room\ntemperature for around 1 h. Finally, protein bands would be visualized by\nexcellent chemiluminescent substrate (ECL) kits (Millipore, United States of\nAmerica). The primary antibodies against GSK-3β (1:1,000, Abcam, United Kingdom;\nab32291), β-catenin (1:1,000, Abcam, United Kingdom; ab32572), cleaved caspase-3\n(1:1,000, Abcam, United Kingdom; ab32042), BAX (1:1,000, Abcam, United Kingdom;\nab32503), PCNA (1:1,000, Abcam, United Kingdom; ab92552), and GAPDH (1:1,000,\nBeyotime, China; AF1186) were used in this research. GAPDH was used as the\ninternal control.\nCell lysates were obtained via utilizing radioimmunoprecipitation assay (RIPA)\nbuffer (Beyotime, Shanghai, China) added with protease inhibitor cocktail\n(Beyotime, Shanghai, China). Proteins were loaded into SDS-PAGE gel. After\nelectrophoresis, proteins were transferred onto polyvinylidene fluoride membrane\n(Thermo Fischer Scientific, United States of America). These membranes were\nblocked with 4% bovine serum albumin for 1 h at room temperature, after which\nthey were incubated with primary antibodies at 4°C for about 24 h. Next, these\nmembranes were incubated with the appropriate secondary antibodies at room\ntemperature for around 1 h. Finally, protein bands would be visualized by\nexcellent chemiluminescent substrate (ECL) kits (Millipore, United States of\nAmerica). The primary antibodies against GSK-3β (1:1,000, Abcam, United Kingdom;\nab32291), β-catenin (1:1,000, Abcam, United Kingdom; ab32572), cleaved caspase-3\n(1:1,000, Abcam, United Kingdom; ab32042), BAX (1:1,000, Abcam, United Kingdom;\nab32503), PCNA (1:1,000, Abcam, United Kingdom; ab92552), and GAPDH (1:1,000,\nBeyotime, China; AF1186) were used in this research. GAPDH was used as the\ninternal control.\nFlow cytometry In brief, FITC annexin V and PI (Thermo Fischer Scientific, United States of\nAmerica) were added into each sample to stain cells. What came next was the\nincubation of these cells at about 24°C for 10 min and the stained cells would\nbe analyzed. The data was processed by FlowJo (Three Star, United States of\nAmerica).\nIn brief, FITC annexin V and PI (Thermo Fischer Scientific, United States of\nAmerica) were added into each sample to stain cells. What came next was the\nincubation of these cells at about 24°C for 10 min and the stained cells would\nbe analyzed. The data was processed by FlowJo (Three Star, United States of\nAmerica).\nRat I/R model Our animal experiments were approved by the Ethical Committee of the Second\nHospital, Cheeloo College of Medicine, Shandong University, and they were\nperformed under the guidelines published by the committee.\nTwenty-eight Sprague-Dawley rat (3 months old, male, 200 g) were bought from our\nanimal center and kept at animal rooms (10-h light/14-h dark cycle, 22-27°C,\nrelative humidity: 40-60%) under sterile environment. These animals were\nrandomly divided into four groups:\nThe control group (n = 7);\nThe I/R group (n = 7);\nThe I/R + naringin co-treatment group (n = 7);\nThe I/R + miR-129 agomir co-treatment group (agomirs were purchased from\nGenomeditch, Shanghai).\nIn order to induce myocardial infarction, rats were initially anesthetized with\nketamine (100 mg/kg i.p.). Two h before the induction of AMI, rats were\nintraperitoneally administered with naringin (50 mg/kg) or miR-129 agomir (50\nmg/kg). Then, the left anterior descending coronary artery was exposed, and it\nwas ligated with nylon sutures for 30 min. After that, the ligation was\nwithdrawn to allow blood reperfusion, and rat’s chest wall was closed. After the\nprocedure, rats were transferred to the animal facility for recovery. The hearts\nwere collected on Days 1, 2, 3, 4, 5, 6, and 7. Rats were sacrificed by cervical\ndislocation, and tibia was collected for further research.\nOur animal experiments were approved by the Ethical Committee of the Second\nHospital, Cheeloo College of Medicine, Shandong University, and they were\nperformed under the guidelines published by the committee.\nTwenty-eight Sprague-Dawley rat (3 months old, male, 200 g) were bought from our\nanimal center and kept at animal rooms (10-h light/14-h dark cycle, 22-27°C,\nrelative humidity: 40-60%) under sterile environment. These animals were\nrandomly divided into four groups:\nThe control group (n = 7);\nThe I/R group (n = 7);\nThe I/R + naringin co-treatment group (n = 7);\nThe I/R + miR-129 agomir co-treatment group (agomirs were purchased from\nGenomeditch, Shanghai).\nIn order to induce myocardial infarction, rats were initially anesthetized with\nketamine (100 mg/kg i.p.). Two h before the induction of AMI, rats were\nintraperitoneally administered with naringin (50 mg/kg) or miR-129 agomir (50\nmg/kg). Then, the left anterior descending coronary artery was exposed, and it\nwas ligated with nylon sutures for 30 min. After that, the ligation was\nwithdrawn to allow blood reperfusion, and rat’s chest wall was closed. After the\nprocedure, rats were transferred to the animal facility for recovery. The hearts\nwere collected on Days 1, 2, 3, 4, 5, 6, and 7. Rats were sacrificed by cervical\ndislocation, and tibia was collected for further research.\nHematoxylin-eosin staining and TUNEL staining In brief, 4% paraformaldehyde was used for fixing mouse heart tissue for 24 h.\nThe hippocampus was embedded in paraffin, and 5-μm thick sections were obtained.\nFollowing hematoxylin-eosin (H&E) staining, tissue sections were observed\nunder a microscope. Apoptosis was measured using a TUNEL assay kit (Invitrogen,\nUnited States of America). Images were analyzed by Image-Pro Plus 6.\nIn brief, 4% paraformaldehyde was used for fixing mouse heart tissue for 24 h.\nThe hippocampus was embedded in paraffin, and 5-μm thick sections were obtained.\nFollowing hematoxylin-eosin (H&E) staining, tissue sections were observed\nunder a microscope. Apoptosis was measured using a TUNEL assay kit (Invitrogen,\nUnited States of America). Images were analyzed by Image-Pro Plus 6.\nStatistical methods Our data was analyzed by operating on GraphPad Prism 8.0 and illustrated as mean\n± standard deviation (SD). All our experiments were performed five times\nindependently. Student’s t-test and one-way analysis of variance (ANOVA,\nBonferroni post hoc test) were adopted in our analysis, depending on the\nexperiment. Two-tailed P < 0.05 was considered as carrying statistical\nsignificance.\nOur data was analyzed by operating on GraphPad Prism 8.0 and illustrated as mean\n± standard deviation (SD). All our experiments were performed five times\nindependently. Student’s t-test and one-way analysis of variance (ANOVA,\nBonferroni post hoc test) were adopted in our analysis, depending on the\nexperiment. Two-tailed P < 0.05 was considered as carrying statistical\nsignificance.", "AC16 cells (human cardiomyocytes) were bought from the cell bank of the Institute\nof Biochemistry and Cell Biology of the Chinese Academy of Sciences (Shanghai,\nChina). These cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM)\n(Sigma-Aldrich, United States of America) with 10% fetal bovine serum (Gibco,\nUnited States of America). AC16 cells were incubated at 37°C in a humid\natmosphere with 5% CO2 and would be passaged or used for further\nexperiments when the confluence reached 70-80%.", "Our OGD/R model was established as previously described15. AC16 cells were initially cultured in DMEM at 37°C and\n20% O2. Then, they were washed with phosphate buffer saline (PBS) and\nincubated with glucose-free and serum-free DMEM medium at 37°C under 2%\nO2 for 6 h to induce in-vitro ischemia. After\nthat, these cells were then cultured in DMEM with 10% FBS at 37°C under 20%\nO2 for 6 h to simulate reperfusion. The control group was always\ncultured in normal conditions (37°C and 20% O2). To test the effects\nof naringin on AC16 cells, they were pretreated with naringin and then underwent\nthe induction of ischemia and reperfusion. Naringin was bought from\nMedChemExpress (United States of America) (Cat. No: HY-N0153), and its purity\nwas more than 98% according to the manufacturer’s instructions.", "MiR-129 mimic, mimic negative control (NC), miR-129 inhibitor and inhibitor\nnegative control (NC) were compounded by Genomeditch (Shanghai, China). These\noligonucleotides were transfected into AC16 cells at the concentration of 40\nnm/L, based on the manufacture’s protocol. Lipofectamine 3000 (Invitrogen,\nUnited States of America) was employed as a transfection reagent.", "Trizol (Sigma-Aldrich, United States of America) was employed to obtain total\nRNA, and miRNA was obtained by using Molpure Cell/Tissue miRNA kit (Yeasen,\nShanghai, China). In addition, mRNA was transcribed via Hifair III One Step\nquantitative real-time polymerase chain reaction (RT-qPCR) probe kit (Yeasen,\nShanghai, China), and TaqMan MicroRNA reverse transcription kit (Invitrogen,\nUnited States of America) was used to transcribe miRNA. SYBR green was from\nRoche (Switzerland). U6 was the endogenous control for miRNAs, and GAPDH was the\nendogenous control for mRNA (Table\n1).\nCCK-8 assay\nAC16 cells (40,000-60,000 cells per well) were placed onto 96-well plates and\nexposed to different concentration of naringin afterwards CCK-8 solution\n(Beyotime, China) was mixed with samples. Next, these cells would be cultured at\nroom temperature for 10 min. After that, cell viability was measured according\nto manufacturer’s instruction.", "Enzyme-linked immunosorbent assay (ELISA) kits for detecting the concentration of\nIL-6, IL-8 and TNF-α were bought from Abcam (United Kingdom), and their\nrespective catalogue numbers were ab178013, ab214030, and ab181421. Cytokines\nwere extracted from the supernatant following the protocols provided by Abcam.\nAfter that, ELISA kits were employed to detect the concentration of\ncytokines.", "Initially, AC16 cells were plated onto 96-well plates. When their confluence grew\nto 60-70%, AC16 cells were co-transfected with pGL3-GSK3B-WT or pGL3-GSK3B-MUT\nand miR-129 mimic NC, miR-129 mimics, miR-129 inhibitor NC or miR-129inhibitor,\nrespectively. At 48 h after the transfection, the luciferase activity of these\nsamples was examined according to Promega’s instructions.", "Cell lysates were obtained via utilizing radioimmunoprecipitation assay (RIPA)\nbuffer (Beyotime, Shanghai, China) added with protease inhibitor cocktail\n(Beyotime, Shanghai, China). Proteins were loaded into SDS-PAGE gel. After\nelectrophoresis, proteins were transferred onto polyvinylidene fluoride membrane\n(Thermo Fischer Scientific, United States of America). These membranes were\nblocked with 4% bovine serum albumin for 1 h at room temperature, after which\nthey were incubated with primary antibodies at 4°C for about 24 h. Next, these\nmembranes were incubated with the appropriate secondary antibodies at room\ntemperature for around 1 h. Finally, protein bands would be visualized by\nexcellent chemiluminescent substrate (ECL) kits (Millipore, United States of\nAmerica). The primary antibodies against GSK-3β (1:1,000, Abcam, United Kingdom;\nab32291), β-catenin (1:1,000, Abcam, United Kingdom; ab32572), cleaved caspase-3\n(1:1,000, Abcam, United Kingdom; ab32042), BAX (1:1,000, Abcam, United Kingdom;\nab32503), PCNA (1:1,000, Abcam, United Kingdom; ab92552), and GAPDH (1:1,000,\nBeyotime, China; AF1186) were used in this research. GAPDH was used as the\ninternal control.", "In brief, FITC annexin V and PI (Thermo Fischer Scientific, United States of\nAmerica) were added into each sample to stain cells. What came next was the\nincubation of these cells at about 24°C for 10 min and the stained cells would\nbe analyzed. The data was processed by FlowJo (Three Star, United States of\nAmerica).", "Our animal experiments were approved by the Ethical Committee of the Second\nHospital, Cheeloo College of Medicine, Shandong University, and they were\nperformed under the guidelines published by the committee.\nTwenty-eight Sprague-Dawley rat (3 months old, male, 200 g) were bought from our\nanimal center and kept at animal rooms (10-h light/14-h dark cycle, 22-27°C,\nrelative humidity: 40-60%) under sterile environment. These animals were\nrandomly divided into four groups:\nThe control group (n = 7);\nThe I/R group (n = 7);\nThe I/R + naringin co-treatment group (n = 7);\nThe I/R + miR-129 agomir co-treatment group (agomirs were purchased from\nGenomeditch, Shanghai).\nIn order to induce myocardial infarction, rats were initially anesthetized with\nketamine (100 mg/kg i.p.). Two h before the induction of AMI, rats were\nintraperitoneally administered with naringin (50 mg/kg) or miR-129 agomir (50\nmg/kg). Then, the left anterior descending coronary artery was exposed, and it\nwas ligated with nylon sutures for 30 min. After that, the ligation was\nwithdrawn to allow blood reperfusion, and rat’s chest wall was closed. After the\nprocedure, rats were transferred to the animal facility for recovery. The hearts\nwere collected on Days 1, 2, 3, 4, 5, 6, and 7. Rats were sacrificed by cervical\ndislocation, and tibia was collected for further research.", "In brief, 4% paraformaldehyde was used for fixing mouse heart tissue for 24 h.\nThe hippocampus was embedded in paraffin, and 5-μm thick sections were obtained.\nFollowing hematoxylin-eosin (H&E) staining, tissue sections were observed\nunder a microscope. Apoptosis was measured using a TUNEL assay kit (Invitrogen,\nUnited States of America). Images were analyzed by Image-Pro Plus 6.", "Our data was analyzed by operating on GraphPad Prism 8.0 and illustrated as mean\n± standard deviation (SD). All our experiments were performed five times\nindependently. Student’s t-test and one-way analysis of variance (ANOVA,\nBonferroni post hoc test) were adopted in our analysis, depending on the\nexperiment. Two-tailed P < 0.05 was considered as carrying statistical\nsignificance.", "Naringin reduces OGD/R-induced apoptosis and inflammation of\ncardiomyocytes To simulate AMI in vitro, AC16 cells were subjected to OGD/R. To\ntest the efficacy of naringin, various concentrations of naringin were employed\nto pre-treat cardiomyocytes, and then cell viability was examined by CCK-8\nassay. As it is shown in Fig. 1a, naringin\nincreased the cell viability in a dosage-dependent way. The results of flow\ncytometry showed that the apoptotic percentage of AC16 cells could be\nsignificantly reduced by naringin (Fig.\n1b). Also, the expression of cleaved caspase-3 and BAX was decreased by\nnaringin (Fig. 1c). Therefore, we chose\n200-μM naringin for the subsequent experiments. In the meantime, we tested the\neffects of naringin on the release of cytokines from AC16 cells. As it is\nillustrated in Fig. 1\nd-f, the concentration of IL-6, IL-8, and\nTNF-α in AC16 cells was increased significantly following OGD/R treatment,\nwhereas the concentration of these inflammatory factors was downregulated by\nnaringin. Given these results, we thought that the apoptosis and inflammatory\nresponse of cardiomyocytes could be attenuated by naringin.\nTo simulate AMI in vitro, AC16 cells were subjected to OGD/R. To\ntest the efficacy of naringin, various concentrations of naringin were employed\nto pre-treat cardiomyocytes, and then cell viability was examined by CCK-8\nassay. As it is shown in Fig. 1a, naringin\nincreased the cell viability in a dosage-dependent way. The results of flow\ncytometry showed that the apoptotic percentage of AC16 cells could be\nsignificantly reduced by naringin (Fig.\n1b). Also, the expression of cleaved caspase-3 and BAX was decreased by\nnaringin (Fig. 1c). Therefore, we chose\n200-μM naringin for the subsequent experiments. In the meantime, we tested the\neffects of naringin on the release of cytokines from AC16 cells. As it is\nillustrated in Fig. 1\nd-f, the concentration of IL-6, IL-8, and\nTNF-α in AC16 cells was increased significantly following OGD/R treatment,\nwhereas the concentration of these inflammatory factors was downregulated by\nnaringin. Given these results, we thought that the apoptosis and inflammatory\nresponse of cardiomyocytes could be attenuated by naringin.\nNaringin exerts its anti-apoptotic and anti-inflammatory effects via\nmiR-126 It was reported that naringin could modulate miR-126, so we hypothesized that\nnaringin might regulate miR-126 to mediate its effects14. We found that the co-treatment of OGD/R and naringin\nincreased miR-126 expression, when compared to the OGD/R treatment group (Fig. 2a). To explore the role of miR-126,\nthe expression of miR-126 was upregulated or downregulated by transfecting AC16\ncells with miR-126 mimic or miR-126 inhibitor (Fig. 2b). Following the transfection, these cells were subject to\nOGD/R and/ornaringin treatment. As it is displayed in Fig. 2 c-d, AC16 cells treated with OGD/R and miR-126 mimic\ntransfection exhibited less apoptosis, in contrast to those exposed to OGD/R.\nMoreover, inhibiting miR-126 in AC16 cells which were treated with OGD/R\nresulted in to exaggerate apoptosis. Next, we found that AC16 cells treated with\nOGD/R and miR-126 mimic transfection exhibited reduced generation of IL-6, IL-8\nand TNF-α, whereas downregulating miR-126 could promote the inflammatory\nresponse of AC16 cells (Fig. 2 e-g). These\ndata suggest that miR-126 might mediate the anti-apoptotic and anti-inflammatory\neffects of naringin.\nIt was reported that naringin could modulate miR-126, so we hypothesized that\nnaringin might regulate miR-126 to mediate its effects14. We found that the co-treatment of OGD/R and naringin\nincreased miR-126 expression, when compared to the OGD/R treatment group (Fig. 2a). To explore the role of miR-126,\nthe expression of miR-126 was upregulated or downregulated by transfecting AC16\ncells with miR-126 mimic or miR-126 inhibitor (Fig. 2b). Following the transfection, these cells were subject to\nOGD/R and/ornaringin treatment. As it is displayed in Fig. 2 c-d, AC16 cells treated with OGD/R and miR-126 mimic\ntransfection exhibited less apoptosis, in contrast to those exposed to OGD/R.\nMoreover, inhibiting miR-126 in AC16 cells which were treated with OGD/R\nresulted in to exaggerate apoptosis. Next, we found that AC16 cells treated with\nOGD/R and miR-126 mimic transfection exhibited reduced generation of IL-6, IL-8\nand TNF-α, whereas downregulating miR-126 could promote the inflammatory\nresponse of AC16 cells (Fig. 2 e-g). These\ndata suggest that miR-126 might mediate the anti-apoptotic and anti-inflammatory\neffects of naringin.\nMiR-126 can target GSK3B To investigate the downstream effector of miR-126, we used StarBase, which could\npredict the binding sequence between miRNAs and genes. It was predicted that\nGSK3B could be bound by miR-126 (Fig. 3a).\nTo confirm the interaction between miR-126 and GSK-3β, dual luciferase reporter\nassay was performed. AC16 cells were co-transfected with pGL3-GSK3B-WT and/or\nmiR-126 mimic, mimic NC, miR-126 inhibitor, and inhibitor NC. AC16 cells with\npGL3-GSK3B-WT and miR-126mimic transfected showed lower luciferase activity, in\ncontrast to the control group (Fig. 3b).\nIn addition, AC16 cells with pGL3-GSK3B-WT and miR-126 inhibitor transfected\nshowed higher luciferase activity when compared to the control group (Fig. 3c). Moreover, it was discovered that\nGSK-3β expression was downregulated when AC16 cells were transfected with\nmiR-126 mimic, but its expression was upregulated when AC16 cells were\ntransfected with miR-126 inhibitor (Fig.\n3d). These results indicate that miR-126 could directly modulate\nGSK-3β expression.\nTo investigate the downstream effector of miR-126, we used StarBase, which could\npredict the binding sequence between miRNAs and genes. It was predicted that\nGSK3B could be bound by miR-126 (Fig. 3a).\nTo confirm the interaction between miR-126 and GSK-3β, dual luciferase reporter\nassay was performed. AC16 cells were co-transfected with pGL3-GSK3B-WT and/or\nmiR-126 mimic, mimic NC, miR-126 inhibitor, and inhibitor NC. AC16 cells with\npGL3-GSK3B-WT and miR-126mimic transfected showed lower luciferase activity, in\ncontrast to the control group (Fig. 3b).\nIn addition, AC16 cells with pGL3-GSK3B-WT and miR-126 inhibitor transfected\nshowed higher luciferase activity when compared to the control group (Fig. 3c). Moreover, it was discovered that\nGSK-3β expression was downregulated when AC16 cells were transfected with\nmiR-126 mimic, but its expression was upregulated when AC16 cells were\ntransfected with miR-126 inhibitor (Fig.\n3d). These results indicate that miR-126 could directly modulate\nGSK-3β expression.\nNaringin attenuates oxygen-glucose deprivation/recovery-induced apoptosis of\ncardiomyocytes via GSK-3β/β-catenin signaling pathway Our previous research has suggested that naringin could regulate miR-126 and that\nmiR-126 targets GSK-3β. Therefore, we hypothesized that naringin could modulate\nGSK-3β/β-catenin signaling. To confirm this, Western blotting was carried out.\nAs it is shown in Fig. 4 a-b, OGD/R\ntreatment increased the phosphorylation of GSK-3β and more β-catenin in AC16\ncells. Yet, the co-treatment of OGD/R and naringin remarkably reduced the\nphosphorylation of GSK-3β, and the β-catenin expression was increased.\nTherefore, naringin could modulate the GSK-3β/β-catenin signaling pathway in\ncardiomyocytes.\nOur previous research has suggested that naringin could regulate miR-126 and that\nmiR-126 targets GSK-3β. Therefore, we hypothesized that naringin could modulate\nGSK-3β/β-catenin signaling. To confirm this, Western blotting was carried out.\nAs it is shown in Fig. 4 a-b, OGD/R\ntreatment increased the phosphorylation of GSK-3β and more β-catenin in AC16\ncells. Yet, the co-treatment of OGD/R and naringin remarkably reduced the\nphosphorylation of GSK-3β, and the β-catenin expression was increased.\nTherefore, naringin could modulate the GSK-3β/β-catenin signaling pathway in\ncardiomyocytes.\nNaringin ameliorates myocardial ischemia-reperfusion-induced damage via\nmiR-126/GSK-3β signaling pathway To verify our findings in vivo, a rat I/R model was constructed.\nAs it is illustrated in Fig. 5a, in the\nI/R treatment group, heart tissue appeared to be more swollen and disorganized,\nwhereas the co-treatment of I/R and naringin reduced the inflammation. The\nresults of TUNEL staining showed that naringin or miR-126 agomir treatment\nremarkably decreased the apoptosis of cardiomyocytes (Fig. 5b). Additionally, naringin or miR-126 agomir\ntreatment reduced the mRNA expression levels of IL-6, IL-8, and TNF-α (Fig. 5 c-e), proving that naringin has\nanti-inflammatory effects on I/R. Next, we measured the activity of\nGSK-3β/β-catenin signaling in rat’s hearts. We discovered that naringin or\nmiR-126 agomir decreased the phosphorylation of GSK-3β and promoted more\nβ-catenin to enter nuclei in I/R rats (Fig.\n5f). Thus, these data imply that I/R-induced heart damage and\ninflammation could be alleviated via miR-126/GSK-3β signaling pathway.\nTo verify our findings in vivo, a rat I/R model was constructed.\nAs it is illustrated in Fig. 5a, in the\nI/R treatment group, heart tissue appeared to be more swollen and disorganized,\nwhereas the co-treatment of I/R and naringin reduced the inflammation. The\nresults of TUNEL staining showed that naringin or miR-126 agomir treatment\nremarkably decreased the apoptosis of cardiomyocytes (Fig. 5b). Additionally, naringin or miR-126 agomir\ntreatment reduced the mRNA expression levels of IL-6, IL-8, and TNF-α (Fig. 5 c-e), proving that naringin has\nanti-inflammatory effects on I/R. Next, we measured the activity of\nGSK-3β/β-catenin signaling in rat’s hearts. We discovered that naringin or\nmiR-126 agomir decreased the phosphorylation of GSK-3β and promoted more\nβ-catenin to enter nuclei in I/R rats (Fig.\n5f). Thus, these data imply that I/R-induced heart damage and\ninflammation could be alleviated via miR-126/GSK-3β signaling pathway.", "To simulate AMI in vitro, AC16 cells were subjected to OGD/R. To\ntest the efficacy of naringin, various concentrations of naringin were employed\nto pre-treat cardiomyocytes, and then cell viability was examined by CCK-8\nassay. As it is shown in Fig. 1a, naringin\nincreased the cell viability in a dosage-dependent way. The results of flow\ncytometry showed that the apoptotic percentage of AC16 cells could be\nsignificantly reduced by naringin (Fig.\n1b). Also, the expression of cleaved caspase-3 and BAX was decreased by\nnaringin (Fig. 1c). Therefore, we chose\n200-μM naringin for the subsequent experiments. In the meantime, we tested the\neffects of naringin on the release of cytokines from AC16 cells. As it is\nillustrated in Fig. 1\nd-f, the concentration of IL-6, IL-8, and\nTNF-α in AC16 cells was increased significantly following OGD/R treatment,\nwhereas the concentration of these inflammatory factors was downregulated by\nnaringin. Given these results, we thought that the apoptosis and inflammatory\nresponse of cardiomyocytes could be attenuated by naringin.", "It was reported that naringin could modulate miR-126, so we hypothesized that\nnaringin might regulate miR-126 to mediate its effects14. We found that the co-treatment of OGD/R and naringin\nincreased miR-126 expression, when compared to the OGD/R treatment group (Fig. 2a). To explore the role of miR-126,\nthe expression of miR-126 was upregulated or downregulated by transfecting AC16\ncells with miR-126 mimic or miR-126 inhibitor (Fig. 2b). Following the transfection, these cells were subject to\nOGD/R and/ornaringin treatment. As it is displayed in Fig. 2 c-d, AC16 cells treated with OGD/R and miR-126 mimic\ntransfection exhibited less apoptosis, in contrast to those exposed to OGD/R.\nMoreover, inhibiting miR-126 in AC16 cells which were treated with OGD/R\nresulted in to exaggerate apoptosis. Next, we found that AC16 cells treated with\nOGD/R and miR-126 mimic transfection exhibited reduced generation of IL-6, IL-8\nand TNF-α, whereas downregulating miR-126 could promote the inflammatory\nresponse of AC16 cells (Fig. 2 e-g). These\ndata suggest that miR-126 might mediate the anti-apoptotic and anti-inflammatory\neffects of naringin.", "To investigate the downstream effector of miR-126, we used StarBase, which could\npredict the binding sequence between miRNAs and genes. It was predicted that\nGSK3B could be bound by miR-126 (Fig. 3a).\nTo confirm the interaction between miR-126 and GSK-3β, dual luciferase reporter\nassay was performed. AC16 cells were co-transfected with pGL3-GSK3B-WT and/or\nmiR-126 mimic, mimic NC, miR-126 inhibitor, and inhibitor NC. AC16 cells with\npGL3-GSK3B-WT and miR-126mimic transfected showed lower luciferase activity, in\ncontrast to the control group (Fig. 3b).\nIn addition, AC16 cells with pGL3-GSK3B-WT and miR-126 inhibitor transfected\nshowed higher luciferase activity when compared to the control group (Fig. 3c). Moreover, it was discovered that\nGSK-3β expression was downregulated when AC16 cells were transfected with\nmiR-126 mimic, but its expression was upregulated when AC16 cells were\ntransfected with miR-126 inhibitor (Fig.\n3d). These results indicate that miR-126 could directly modulate\nGSK-3β expression.", "Our previous research has suggested that naringin could regulate miR-126 and that\nmiR-126 targets GSK-3β. Therefore, we hypothesized that naringin could modulate\nGSK-3β/β-catenin signaling. To confirm this, Western blotting was carried out.\nAs it is shown in Fig. 4 a-b, OGD/R\ntreatment increased the phosphorylation of GSK-3β and more β-catenin in AC16\ncells. Yet, the co-treatment of OGD/R and naringin remarkably reduced the\nphosphorylation of GSK-3β, and the β-catenin expression was increased.\nTherefore, naringin could modulate the GSK-3β/β-catenin signaling pathway in\ncardiomyocytes.", "To verify our findings in vivo, a rat I/R model was constructed.\nAs it is illustrated in Fig. 5a, in the\nI/R treatment group, heart tissue appeared to be more swollen and disorganized,\nwhereas the co-treatment of I/R and naringin reduced the inflammation. The\nresults of TUNEL staining showed that naringin or miR-126 agomir treatment\nremarkably decreased the apoptosis of cardiomyocytes (Fig. 5b). Additionally, naringin or miR-126 agomir\ntreatment reduced the mRNA expression levels of IL-6, IL-8, and TNF-α (Fig. 5 c-e), proving that naringin has\nanti-inflammatory effects on I/R. Next, we measured the activity of\nGSK-3β/β-catenin signaling in rat’s hearts. We discovered that naringin or\nmiR-126 agomir decreased the phosphorylation of GSK-3β and promoted more\nβ-catenin to enter nuclei in I/R rats (Fig.\n5f). Thus, these data imply that I/R-induced heart damage and\ninflammation could be alleviated via miR-126/GSK-3β signaling pathway.", "This research has demonstrated that naringin could significantly reduce OGD/R-induced\napoptosis of cardiomyocytes, as well as the release of inflammatory cytokines such\nas IL-6, IL-8, and TNF-α. Furthermore, our animal experiments proved that naringin\nshows protective impact on cardiac I/R injury. These results imply that naringin has\nthe potential of improving the clinical outcome of patients with major\ncardiovascular diseases.\nInitially, we have found that OGD/R treatment could remarkably impair the viability\nof cardiomyocytes, whereas naringin can restore their viability with its dosage\nincreasing. In addition, the expression of cleaved caspase-3 and BAX can be\ndownregulated by naringin, and the results of flow cytometry showed that naringin\ncan decrease the apoptotic percentage of cardiomyocytes. To evaluate the\ninflammatory response of cardiomyocytes, the concentration of IL-6, IL-8, and TNF-α\nwas measured, and we have discovered that the concentration of these cytokines\ninduced by OGD/R can be reduced by naringin. These three cytokines have been shown\nto play a key role in the pathogenesis of cardiac I/R injury. Plasma IL-6 level is\nassociated with worse clinical outcome of acute myocardial infarction16\n,\n17. In addition, there is a positive\ncorrelation between IL-8 level and heart failure18\n,\n19, and TNF-α can promote the apoptosis of\ncardiomyocytes20. Thus, our results\nshowed that naringin can alleviate the apoptosis and inflammation of cardiomyocytes\nand has the therapeutic potential of cardiac I/R injury.\nFurthermore, our research pointed out that naringin can exert cardioprotective\neffects via miR-126. Many researchers have reported that naringin can upregulate\nmiR-126. Chen et al.14 found\nthat naringin can increase miR-126 expression in lung carcinoma to mediate the\nanti-cancer effects of naringin. Also, Tzu-Wei Tan et al.21 demonstrated that naringin can suppress the\nmigration of chondrosarcoma. It is worth mentioning that miR-126 has been\nacknowledged as an important miRNA that regulates cardiovascular diseases. It can be\nused as a biomarker for acute myocardial infarction and even for reducing the\napoptosis of cardiomyocytes22\n-\n25. To confirm that miR-126 mediates the\nanti-apoptotic and anti-inflammatory effects of naringin, cardiomyocytes were\ntransfected with miR-126 mimic or inhibitor. Upregulating miR-126 in cardiomyocytes\nthat were exposed to OGD/R can have the same protective effects as naringin, while\ninhibition of miR-126 resulted in to abrogate the anti-inflammatory and\nanti-apoptotic effects of naringin in cardiomyocytes. In our animal experiments,\nupregulating miR-126 also reduces the cardiac I/R damage. Therefore, miR-126 is play\nkey role to modulate the anti-inflammatory and anti-apoptotic effects of\nnaringin.\nIn addition, we have discovered that miR-126 can target GSK-3β in cardiomyocytes, and\nthis interaction is reported for the first time. Moreover, our\nin-vivo and in-vitro experiments have shown\nthat naringin can promote the phosphorylation of GSK-3β and the relocation of\nβ-catenin into nuclei. The pathophysiological role of GSK-3β has been widely\nstudied. The phosphorylation of GSK-3β in cardiomyocytes can activate β-catenin.\nThis can promote the proliferation of cardiomyocytes and maintain the survival of\ncardiomyocytes. The inhibition of GSK-3β has been shown to reduce cardiac I/R\ninjury, modulate autophygocytosis and attenuate cardiac fibrosis26. It is of note that GSK-3β/β-catenin\nsignaling can modulate the caspase-3-mediated apoptotic signaling pathway27. Moreover, GSK-3β inactivation can alleviate\ninflammation28\n,\n29. Considering these research findings and\nour results, naringin might regulate the apoptosis and inflammation of\ncardiomyocytes via modulating GSK-3β/β-catenin signaling.\nHowever, our research has a few limitations. The first one is that more clinical data\nis required to verify the clinical significance of miR-126, and GSK-3β/β-catenin\nsignaling in cardiac I/R injury. Second, clinical trials should be conducted to\nexamine the efficacy of naringin in reducing cardiac I/R injury.", "Naringin can attenuate the apoptosis and inflammation of cardiomyocytes via\nmiR-126/GSK-3β/β-catenin signaling pathway during cardiac I/R injury, which would\nprovide a new insight into pharmaceutical treatment of cardiac I/R." ]
[ "intro", "methods", null, null, null, null, null, null, null, null, null, null, null, "results", null, null, null, null, null, "discussion", "conclusions" ]
[ "Reperfusion Injury", "Myocardial Ischemia", "Flavonoids", "Rats" ]
Introduction: It has been estimated that nearly ischemic heart disease (IHD) has affected 1.72% of the total world population, and its incidence worldwide keeps increasing1. From a pathological perspective, IHD is mainly caused by the reduced blood supply to heart. Therefore, two revascularization strategies–percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG)–have been invented2. Yet, these two revascularization methods carry the risk of cardiac ischemia/reperfusion (I/R) injury. During I/R, there are increased oxidative stress, inflammatory response, and impaired autophagy3. To minimize heart damage, many treatment strategies have been created, for example, suppressing immune response, and decreasing high-blood pressure4. Despite these advances, the mortality of IHD remains very high, which requires novel treatments. Naringin, which is a natural flavanone glycoside, is a main active chemical component from Chinese herbs such as Drynaria fortunei and Citrus aurantium 5. It has been proven to promote bone generation, suppress inflammation, inhibit cancer growth, attenuate oxidative stress, regulate cell metabolism, and improve neurodegenerative diseases6 , 7. Also, naringin shows protective effects on cardiovascular diseases. For example, it can attenuate the toxic effects of doxorubicin and bisphenol on cardiomyocytes via regulating reactive oxygen species (ROS) level and p38/MAPK signaling pathway8 , 9. Another study showed that naringin could reduce cardiac inflammatory response10. Research in other fields has indicated that naringin can attenuate intestinal, testicular, and cerebral I/R injury11 - 13. Yet, its role in cardiac I/R injury remains unknown. Therefore, this research aimed to investigate if naringin could exert any protective effects on cardiac I/R injury. In this research, we hypothesized that naringin could attenuate cardiac I/R-induced injury. AC16 cells (human cardiomyocytes) were exposed to oxygen-glucose deprivation/recovery (OGD/R) treatment, and naringin was employed to pre-treat AC16 cells. In addition, rat I/R model was constructed to validate our findings in vitro. The following is what we have discovered: naringin ameliorates OGD/R-induced apoptosis and inflammation of cardiomyocytes; naringin can modulate GSK-3β/β-catenin signaling pathway via miR-126; miR-126 can bind GSK-3β; naringin can alleviate cardiac I/R injury in vivo. These findings suggest that naringin has therapeutic potential to minimize cardiac I/R injury. Methods: Cells and cell culture AC16 cells (human cardiomyocytes) were bought from the cell bank of the Institute of Biochemistry and Cell Biology of the Chinese Academy of Sciences (Shanghai, China). These cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM) (Sigma-Aldrich, United States of America) with 10% fetal bovine serum (Gibco, United States of America). AC16 cells were incubated at 37°C in a humid atmosphere with 5% CO2 and would be passaged or used for further experiments when the confluence reached 70-80%. AC16 cells (human cardiomyocytes) were bought from the cell bank of the Institute of Biochemistry and Cell Biology of the Chinese Academy of Sciences (Shanghai, China). These cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM) (Sigma-Aldrich, United States of America) with 10% fetal bovine serum (Gibco, United States of America). AC16 cells were incubated at 37°C in a humid atmosphere with 5% CO2 and would be passaged or used for further experiments when the confluence reached 70-80%. Cardiomyocyte oxygen-glucose deprivation/recovery model construction Our OGD/R model was established as previously described15. AC16 cells were initially cultured in DMEM at 37°C and 20% O2. Then, they were washed with phosphate buffer saline (PBS) and incubated with glucose-free and serum-free DMEM medium at 37°C under 2% O2 for 6 h to induce in-vitro ischemia. After that, these cells were then cultured in DMEM with 10% FBS at 37°C under 20% O2 for 6 h to simulate reperfusion. The control group was always cultured in normal conditions (37°C and 20% O2). To test the effects of naringin on AC16 cells, they were pretreated with naringin and then underwent the induction of ischemia and reperfusion. Naringin was bought from MedChemExpress (United States of America) (Cat. No: HY-N0153), and its purity was more than 98% according to the manufacturer’s instructions. Our OGD/R model was established as previously described15. AC16 cells were initially cultured in DMEM at 37°C and 20% O2. Then, they were washed with phosphate buffer saline (PBS) and incubated with glucose-free and serum-free DMEM medium at 37°C under 2% O2 for 6 h to induce in-vitro ischemia. After that, these cells were then cultured in DMEM with 10% FBS at 37°C under 20% O2 for 6 h to simulate reperfusion. The control group was always cultured in normal conditions (37°C and 20% O2). To test the effects of naringin on AC16 cells, they were pretreated with naringin and then underwent the induction of ischemia and reperfusion. Naringin was bought from MedChemExpress (United States of America) (Cat. No: HY-N0153), and its purity was more than 98% according to the manufacturer’s instructions. Cell transfection MiR-129 mimic, mimic negative control (NC), miR-129 inhibitor and inhibitor negative control (NC) were compounded by Genomeditch (Shanghai, China). These oligonucleotides were transfected into AC16 cells at the concentration of 40 nm/L, based on the manufacture’s protocol. Lipofectamine 3000 (Invitrogen, United States of America) was employed as a transfection reagent. MiR-129 mimic, mimic negative control (NC), miR-129 inhibitor and inhibitor negative control (NC) were compounded by Genomeditch (Shanghai, China). These oligonucleotides were transfected into AC16 cells at the concentration of 40 nm/L, based on the manufacture’s protocol. Lipofectamine 3000 (Invitrogen, United States of America) was employed as a transfection reagent. Quantitative real-time polymerase chain reaction Trizol (Sigma-Aldrich, United States of America) was employed to obtain total RNA, and miRNA was obtained by using Molpure Cell/Tissue miRNA kit (Yeasen, Shanghai, China). In addition, mRNA was transcribed via Hifair III One Step quantitative real-time polymerase chain reaction (RT-qPCR) probe kit (Yeasen, Shanghai, China), and TaqMan MicroRNA reverse transcription kit (Invitrogen, United States of America) was used to transcribe miRNA. SYBR green was from Roche (Switzerland). U6 was the endogenous control for miRNAs, and GAPDH was the endogenous control for mRNA (Table 1). CCK-8 assay AC16 cells (40,000-60,000 cells per well) were placed onto 96-well plates and exposed to different concentration of naringin afterwards CCK-8 solution (Beyotime, China) was mixed with samples. Next, these cells would be cultured at room temperature for 10 min. After that, cell viability was measured according to manufacturer’s instruction. Trizol (Sigma-Aldrich, United States of America) was employed to obtain total RNA, and miRNA was obtained by using Molpure Cell/Tissue miRNA kit (Yeasen, Shanghai, China). In addition, mRNA was transcribed via Hifair III One Step quantitative real-time polymerase chain reaction (RT-qPCR) probe kit (Yeasen, Shanghai, China), and TaqMan MicroRNA reverse transcription kit (Invitrogen, United States of America) was used to transcribe miRNA. SYBR green was from Roche (Switzerland). U6 was the endogenous control for miRNAs, and GAPDH was the endogenous control for mRNA (Table 1). CCK-8 assay AC16 cells (40,000-60,000 cells per well) were placed onto 96-well plates and exposed to different concentration of naringin afterwards CCK-8 solution (Beyotime, China) was mixed with samples. Next, these cells would be cultured at room temperature for 10 min. After that, cell viability was measured according to manufacturer’s instruction. Enzyme-linked immunosorbent assay kits Enzyme-linked immunosorbent assay (ELISA) kits for detecting the concentration of IL-6, IL-8 and TNF-α were bought from Abcam (United Kingdom), and their respective catalogue numbers were ab178013, ab214030, and ab181421. Cytokines were extracted from the supernatant following the protocols provided by Abcam. After that, ELISA kits were employed to detect the concentration of cytokines. Enzyme-linked immunosorbent assay (ELISA) kits for detecting the concentration of IL-6, IL-8 and TNF-α were bought from Abcam (United Kingdom), and their respective catalogue numbers were ab178013, ab214030, and ab181421. Cytokines were extracted from the supernatant following the protocols provided by Abcam. After that, ELISA kits were employed to detect the concentration of cytokines. Dual luciferase reporter activity assay Initially, AC16 cells were plated onto 96-well plates. When their confluence grew to 60-70%, AC16 cells were co-transfected with pGL3-GSK3B-WT or pGL3-GSK3B-MUT and miR-129 mimic NC, miR-129 mimics, miR-129 inhibitor NC or miR-129inhibitor, respectively. At 48 h after the transfection, the luciferase activity of these samples was examined according to Promega’s instructions. Initially, AC16 cells were plated onto 96-well plates. When their confluence grew to 60-70%, AC16 cells were co-transfected with pGL3-GSK3B-WT or pGL3-GSK3B-MUT and miR-129 mimic NC, miR-129 mimics, miR-129 inhibitor NC or miR-129inhibitor, respectively. At 48 h after the transfection, the luciferase activity of these samples was examined according to Promega’s instructions. Western blotting Cell lysates were obtained via utilizing radioimmunoprecipitation assay (RIPA) buffer (Beyotime, Shanghai, China) added with protease inhibitor cocktail (Beyotime, Shanghai, China). Proteins were loaded into SDS-PAGE gel. After electrophoresis, proteins were transferred onto polyvinylidene fluoride membrane (Thermo Fischer Scientific, United States of America). These membranes were blocked with 4% bovine serum albumin for 1 h at room temperature, after which they were incubated with primary antibodies at 4°C for about 24 h. Next, these membranes were incubated with the appropriate secondary antibodies at room temperature for around 1 h. Finally, protein bands would be visualized by excellent chemiluminescent substrate (ECL) kits (Millipore, United States of America). The primary antibodies against GSK-3β (1:1,000, Abcam, United Kingdom; ab32291), β-catenin (1:1,000, Abcam, United Kingdom; ab32572), cleaved caspase-3 (1:1,000, Abcam, United Kingdom; ab32042), BAX (1:1,000, Abcam, United Kingdom; ab32503), PCNA (1:1,000, Abcam, United Kingdom; ab92552), and GAPDH (1:1,000, Beyotime, China; AF1186) were used in this research. GAPDH was used as the internal control. Cell lysates were obtained via utilizing radioimmunoprecipitation assay (RIPA) buffer (Beyotime, Shanghai, China) added with protease inhibitor cocktail (Beyotime, Shanghai, China). Proteins were loaded into SDS-PAGE gel. After electrophoresis, proteins were transferred onto polyvinylidene fluoride membrane (Thermo Fischer Scientific, United States of America). These membranes were blocked with 4% bovine serum albumin for 1 h at room temperature, after which they were incubated with primary antibodies at 4°C for about 24 h. Next, these membranes were incubated with the appropriate secondary antibodies at room temperature for around 1 h. Finally, protein bands would be visualized by excellent chemiluminescent substrate (ECL) kits (Millipore, United States of America). The primary antibodies against GSK-3β (1:1,000, Abcam, United Kingdom; ab32291), β-catenin (1:1,000, Abcam, United Kingdom; ab32572), cleaved caspase-3 (1:1,000, Abcam, United Kingdom; ab32042), BAX (1:1,000, Abcam, United Kingdom; ab32503), PCNA (1:1,000, Abcam, United Kingdom; ab92552), and GAPDH (1:1,000, Beyotime, China; AF1186) were used in this research. GAPDH was used as the internal control. Flow cytometry In brief, FITC annexin V and PI (Thermo Fischer Scientific, United States of America) were added into each sample to stain cells. What came next was the incubation of these cells at about 24°C for 10 min and the stained cells would be analyzed. The data was processed by FlowJo (Three Star, United States of America). In brief, FITC annexin V and PI (Thermo Fischer Scientific, United States of America) were added into each sample to stain cells. What came next was the incubation of these cells at about 24°C for 10 min and the stained cells would be analyzed. The data was processed by FlowJo (Three Star, United States of America). Rat I/R model Our animal experiments were approved by the Ethical Committee of the Second Hospital, Cheeloo College of Medicine, Shandong University, and they were performed under the guidelines published by the committee. Twenty-eight Sprague-Dawley rat (3 months old, male, 200 g) were bought from our animal center and kept at animal rooms (10-h light/14-h dark cycle, 22-27°C, relative humidity: 40-60%) under sterile environment. These animals were randomly divided into four groups: The control group (n = 7); The I/R group (n = 7); The I/R + naringin co-treatment group (n = 7); The I/R + miR-129 agomir co-treatment group (agomirs were purchased from Genomeditch, Shanghai). In order to induce myocardial infarction, rats were initially anesthetized with ketamine (100 mg/kg i.p.). Two h before the induction of AMI, rats were intraperitoneally administered with naringin (50 mg/kg) or miR-129 agomir (50 mg/kg). Then, the left anterior descending coronary artery was exposed, and it was ligated with nylon sutures for 30 min. After that, the ligation was withdrawn to allow blood reperfusion, and rat’s chest wall was closed. After the procedure, rats were transferred to the animal facility for recovery. The hearts were collected on Days 1, 2, 3, 4, 5, 6, and 7. Rats were sacrificed by cervical dislocation, and tibia was collected for further research. Our animal experiments were approved by the Ethical Committee of the Second Hospital, Cheeloo College of Medicine, Shandong University, and they were performed under the guidelines published by the committee. Twenty-eight Sprague-Dawley rat (3 months old, male, 200 g) were bought from our animal center and kept at animal rooms (10-h light/14-h dark cycle, 22-27°C, relative humidity: 40-60%) under sterile environment. These animals were randomly divided into four groups: The control group (n = 7); The I/R group (n = 7); The I/R + naringin co-treatment group (n = 7); The I/R + miR-129 agomir co-treatment group (agomirs were purchased from Genomeditch, Shanghai). In order to induce myocardial infarction, rats were initially anesthetized with ketamine (100 mg/kg i.p.). Two h before the induction of AMI, rats were intraperitoneally administered with naringin (50 mg/kg) or miR-129 agomir (50 mg/kg). Then, the left anterior descending coronary artery was exposed, and it was ligated with nylon sutures for 30 min. After that, the ligation was withdrawn to allow blood reperfusion, and rat’s chest wall was closed. After the procedure, rats were transferred to the animal facility for recovery. The hearts were collected on Days 1, 2, 3, 4, 5, 6, and 7. Rats were sacrificed by cervical dislocation, and tibia was collected for further research. Hematoxylin-eosin staining and TUNEL staining In brief, 4% paraformaldehyde was used for fixing mouse heart tissue for 24 h. The hippocampus was embedded in paraffin, and 5-μm thick sections were obtained. Following hematoxylin-eosin (H&E) staining, tissue sections were observed under a microscope. Apoptosis was measured using a TUNEL assay kit (Invitrogen, United States of America). Images were analyzed by Image-Pro Plus 6. In brief, 4% paraformaldehyde was used for fixing mouse heart tissue for 24 h. The hippocampus was embedded in paraffin, and 5-μm thick sections were obtained. Following hematoxylin-eosin (H&E) staining, tissue sections were observed under a microscope. Apoptosis was measured using a TUNEL assay kit (Invitrogen, United States of America). Images were analyzed by Image-Pro Plus 6. Statistical methods Our data was analyzed by operating on GraphPad Prism 8.0 and illustrated as mean ± standard deviation (SD). All our experiments were performed five times independently. Student’s t-test and one-way analysis of variance (ANOVA, Bonferroni post hoc test) were adopted in our analysis, depending on the experiment. Two-tailed P < 0.05 was considered as carrying statistical significance. Our data was analyzed by operating on GraphPad Prism 8.0 and illustrated as mean ± standard deviation (SD). All our experiments were performed five times independently. Student’s t-test and one-way analysis of variance (ANOVA, Bonferroni post hoc test) were adopted in our analysis, depending on the experiment. Two-tailed P < 0.05 was considered as carrying statistical significance. Cells and cell culture: AC16 cells (human cardiomyocytes) were bought from the cell bank of the Institute of Biochemistry and Cell Biology of the Chinese Academy of Sciences (Shanghai, China). These cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM) (Sigma-Aldrich, United States of America) with 10% fetal bovine serum (Gibco, United States of America). AC16 cells were incubated at 37°C in a humid atmosphere with 5% CO2 and would be passaged or used for further experiments when the confluence reached 70-80%. Cardiomyocyte oxygen-glucose deprivation/recovery model construction: Our OGD/R model was established as previously described15. AC16 cells were initially cultured in DMEM at 37°C and 20% O2. Then, they were washed with phosphate buffer saline (PBS) and incubated with glucose-free and serum-free DMEM medium at 37°C under 2% O2 for 6 h to induce in-vitro ischemia. After that, these cells were then cultured in DMEM with 10% FBS at 37°C under 20% O2 for 6 h to simulate reperfusion. The control group was always cultured in normal conditions (37°C and 20% O2). To test the effects of naringin on AC16 cells, they were pretreated with naringin and then underwent the induction of ischemia and reperfusion. Naringin was bought from MedChemExpress (United States of America) (Cat. No: HY-N0153), and its purity was more than 98% according to the manufacturer’s instructions. Cell transfection: MiR-129 mimic, mimic negative control (NC), miR-129 inhibitor and inhibitor negative control (NC) were compounded by Genomeditch (Shanghai, China). These oligonucleotides were transfected into AC16 cells at the concentration of 40 nm/L, based on the manufacture’s protocol. Lipofectamine 3000 (Invitrogen, United States of America) was employed as a transfection reagent. Quantitative real-time polymerase chain reaction: Trizol (Sigma-Aldrich, United States of America) was employed to obtain total RNA, and miRNA was obtained by using Molpure Cell/Tissue miRNA kit (Yeasen, Shanghai, China). In addition, mRNA was transcribed via Hifair III One Step quantitative real-time polymerase chain reaction (RT-qPCR) probe kit (Yeasen, Shanghai, China), and TaqMan MicroRNA reverse transcription kit (Invitrogen, United States of America) was used to transcribe miRNA. SYBR green was from Roche (Switzerland). U6 was the endogenous control for miRNAs, and GAPDH was the endogenous control for mRNA (Table 1). CCK-8 assay AC16 cells (40,000-60,000 cells per well) were placed onto 96-well plates and exposed to different concentration of naringin afterwards CCK-8 solution (Beyotime, China) was mixed with samples. Next, these cells would be cultured at room temperature for 10 min. After that, cell viability was measured according to manufacturer’s instruction. Enzyme-linked immunosorbent assay kits: Enzyme-linked immunosorbent assay (ELISA) kits for detecting the concentration of IL-6, IL-8 and TNF-α were bought from Abcam (United Kingdom), and their respective catalogue numbers were ab178013, ab214030, and ab181421. Cytokines were extracted from the supernatant following the protocols provided by Abcam. After that, ELISA kits were employed to detect the concentration of cytokines. Dual luciferase reporter activity assay: Initially, AC16 cells were plated onto 96-well plates. When their confluence grew to 60-70%, AC16 cells were co-transfected with pGL3-GSK3B-WT or pGL3-GSK3B-MUT and miR-129 mimic NC, miR-129 mimics, miR-129 inhibitor NC or miR-129inhibitor, respectively. At 48 h after the transfection, the luciferase activity of these samples was examined according to Promega’s instructions. Western blotting: Cell lysates were obtained via utilizing radioimmunoprecipitation assay (RIPA) buffer (Beyotime, Shanghai, China) added with protease inhibitor cocktail (Beyotime, Shanghai, China). Proteins were loaded into SDS-PAGE gel. After electrophoresis, proteins were transferred onto polyvinylidene fluoride membrane (Thermo Fischer Scientific, United States of America). These membranes were blocked with 4% bovine serum albumin for 1 h at room temperature, after which they were incubated with primary antibodies at 4°C for about 24 h. Next, these membranes were incubated with the appropriate secondary antibodies at room temperature for around 1 h. Finally, protein bands would be visualized by excellent chemiluminescent substrate (ECL) kits (Millipore, United States of America). The primary antibodies against GSK-3β (1:1,000, Abcam, United Kingdom; ab32291), β-catenin (1:1,000, Abcam, United Kingdom; ab32572), cleaved caspase-3 (1:1,000, Abcam, United Kingdom; ab32042), BAX (1:1,000, Abcam, United Kingdom; ab32503), PCNA (1:1,000, Abcam, United Kingdom; ab92552), and GAPDH (1:1,000, Beyotime, China; AF1186) were used in this research. GAPDH was used as the internal control. Flow cytometry: In brief, FITC annexin V and PI (Thermo Fischer Scientific, United States of America) were added into each sample to stain cells. What came next was the incubation of these cells at about 24°C for 10 min and the stained cells would be analyzed. The data was processed by FlowJo (Three Star, United States of America). Rat I/R model: Our animal experiments were approved by the Ethical Committee of the Second Hospital, Cheeloo College of Medicine, Shandong University, and they were performed under the guidelines published by the committee. Twenty-eight Sprague-Dawley rat (3 months old, male, 200 g) were bought from our animal center and kept at animal rooms (10-h light/14-h dark cycle, 22-27°C, relative humidity: 40-60%) under sterile environment. These animals were randomly divided into four groups: The control group (n = 7); The I/R group (n = 7); The I/R + naringin co-treatment group (n = 7); The I/R + miR-129 agomir co-treatment group (agomirs were purchased from Genomeditch, Shanghai). In order to induce myocardial infarction, rats were initially anesthetized with ketamine (100 mg/kg i.p.). Two h before the induction of AMI, rats were intraperitoneally administered with naringin (50 mg/kg) or miR-129 agomir (50 mg/kg). Then, the left anterior descending coronary artery was exposed, and it was ligated with nylon sutures for 30 min. After that, the ligation was withdrawn to allow blood reperfusion, and rat’s chest wall was closed. After the procedure, rats were transferred to the animal facility for recovery. The hearts were collected on Days 1, 2, 3, 4, 5, 6, and 7. Rats were sacrificed by cervical dislocation, and tibia was collected for further research. Hematoxylin-eosin staining and TUNEL staining: In brief, 4% paraformaldehyde was used for fixing mouse heart tissue for 24 h. The hippocampus was embedded in paraffin, and 5-μm thick sections were obtained. Following hematoxylin-eosin (H&E) staining, tissue sections were observed under a microscope. Apoptosis was measured using a TUNEL assay kit (Invitrogen, United States of America). Images were analyzed by Image-Pro Plus 6. Statistical methods: Our data was analyzed by operating on GraphPad Prism 8.0 and illustrated as mean ± standard deviation (SD). All our experiments were performed five times independently. Student’s t-test and one-way analysis of variance (ANOVA, Bonferroni post hoc test) were adopted in our analysis, depending on the experiment. Two-tailed P < 0.05 was considered as carrying statistical significance. Results: Naringin reduces OGD/R-induced apoptosis and inflammation of cardiomyocytes To simulate AMI in vitro, AC16 cells were subjected to OGD/R. To test the efficacy of naringin, various concentrations of naringin were employed to pre-treat cardiomyocytes, and then cell viability was examined by CCK-8 assay. As it is shown in Fig. 1a, naringin increased the cell viability in a dosage-dependent way. The results of flow cytometry showed that the apoptotic percentage of AC16 cells could be significantly reduced by naringin (Fig. 1b). Also, the expression of cleaved caspase-3 and BAX was decreased by naringin (Fig. 1c). Therefore, we chose 200-μM naringin for the subsequent experiments. In the meantime, we tested the effects of naringin on the release of cytokines from AC16 cells. As it is illustrated in Fig. 1 d-f, the concentration of IL-6, IL-8, and TNF-α in AC16 cells was increased significantly following OGD/R treatment, whereas the concentration of these inflammatory factors was downregulated by naringin. Given these results, we thought that the apoptosis and inflammatory response of cardiomyocytes could be attenuated by naringin. To simulate AMI in vitro, AC16 cells were subjected to OGD/R. To test the efficacy of naringin, various concentrations of naringin were employed to pre-treat cardiomyocytes, and then cell viability was examined by CCK-8 assay. As it is shown in Fig. 1a, naringin increased the cell viability in a dosage-dependent way. The results of flow cytometry showed that the apoptotic percentage of AC16 cells could be significantly reduced by naringin (Fig. 1b). Also, the expression of cleaved caspase-3 and BAX was decreased by naringin (Fig. 1c). Therefore, we chose 200-μM naringin for the subsequent experiments. In the meantime, we tested the effects of naringin on the release of cytokines from AC16 cells. As it is illustrated in Fig. 1 d-f, the concentration of IL-6, IL-8, and TNF-α in AC16 cells was increased significantly following OGD/R treatment, whereas the concentration of these inflammatory factors was downregulated by naringin. Given these results, we thought that the apoptosis and inflammatory response of cardiomyocytes could be attenuated by naringin. Naringin exerts its anti-apoptotic and anti-inflammatory effects via miR-126 It was reported that naringin could modulate miR-126, so we hypothesized that naringin might regulate miR-126 to mediate its effects14. We found that the co-treatment of OGD/R and naringin increased miR-126 expression, when compared to the OGD/R treatment group (Fig. 2a). To explore the role of miR-126, the expression of miR-126 was upregulated or downregulated by transfecting AC16 cells with miR-126 mimic or miR-126 inhibitor (Fig. 2b). Following the transfection, these cells were subject to OGD/R and/ornaringin treatment. As it is displayed in Fig. 2 c-d, AC16 cells treated with OGD/R and miR-126 mimic transfection exhibited less apoptosis, in contrast to those exposed to OGD/R. Moreover, inhibiting miR-126 in AC16 cells which were treated with OGD/R resulted in to exaggerate apoptosis. Next, we found that AC16 cells treated with OGD/R and miR-126 mimic transfection exhibited reduced generation of IL-6, IL-8 and TNF-α, whereas downregulating miR-126 could promote the inflammatory response of AC16 cells (Fig. 2 e-g). These data suggest that miR-126 might mediate the anti-apoptotic and anti-inflammatory effects of naringin. It was reported that naringin could modulate miR-126, so we hypothesized that naringin might regulate miR-126 to mediate its effects14. We found that the co-treatment of OGD/R and naringin increased miR-126 expression, when compared to the OGD/R treatment group (Fig. 2a). To explore the role of miR-126, the expression of miR-126 was upregulated or downregulated by transfecting AC16 cells with miR-126 mimic or miR-126 inhibitor (Fig. 2b). Following the transfection, these cells were subject to OGD/R and/ornaringin treatment. As it is displayed in Fig. 2 c-d, AC16 cells treated with OGD/R and miR-126 mimic transfection exhibited less apoptosis, in contrast to those exposed to OGD/R. Moreover, inhibiting miR-126 in AC16 cells which were treated with OGD/R resulted in to exaggerate apoptosis. Next, we found that AC16 cells treated with OGD/R and miR-126 mimic transfection exhibited reduced generation of IL-6, IL-8 and TNF-α, whereas downregulating miR-126 could promote the inflammatory response of AC16 cells (Fig. 2 e-g). These data suggest that miR-126 might mediate the anti-apoptotic and anti-inflammatory effects of naringin. MiR-126 can target GSK3B To investigate the downstream effector of miR-126, we used StarBase, which could predict the binding sequence between miRNAs and genes. It was predicted that GSK3B could be bound by miR-126 (Fig. 3a). To confirm the interaction between miR-126 and GSK-3β, dual luciferase reporter assay was performed. AC16 cells were co-transfected with pGL3-GSK3B-WT and/or miR-126 mimic, mimic NC, miR-126 inhibitor, and inhibitor NC. AC16 cells with pGL3-GSK3B-WT and miR-126mimic transfected showed lower luciferase activity, in contrast to the control group (Fig. 3b). In addition, AC16 cells with pGL3-GSK3B-WT and miR-126 inhibitor transfected showed higher luciferase activity when compared to the control group (Fig. 3c). Moreover, it was discovered that GSK-3β expression was downregulated when AC16 cells were transfected with miR-126 mimic, but its expression was upregulated when AC16 cells were transfected with miR-126 inhibitor (Fig. 3d). These results indicate that miR-126 could directly modulate GSK-3β expression. To investigate the downstream effector of miR-126, we used StarBase, which could predict the binding sequence between miRNAs and genes. It was predicted that GSK3B could be bound by miR-126 (Fig. 3a). To confirm the interaction between miR-126 and GSK-3β, dual luciferase reporter assay was performed. AC16 cells were co-transfected with pGL3-GSK3B-WT and/or miR-126 mimic, mimic NC, miR-126 inhibitor, and inhibitor NC. AC16 cells with pGL3-GSK3B-WT and miR-126mimic transfected showed lower luciferase activity, in contrast to the control group (Fig. 3b). In addition, AC16 cells with pGL3-GSK3B-WT and miR-126 inhibitor transfected showed higher luciferase activity when compared to the control group (Fig. 3c). Moreover, it was discovered that GSK-3β expression was downregulated when AC16 cells were transfected with miR-126 mimic, but its expression was upregulated when AC16 cells were transfected with miR-126 inhibitor (Fig. 3d). These results indicate that miR-126 could directly modulate GSK-3β expression. Naringin attenuates oxygen-glucose deprivation/recovery-induced apoptosis of cardiomyocytes via GSK-3β/β-catenin signaling pathway Our previous research has suggested that naringin could regulate miR-126 and that miR-126 targets GSK-3β. Therefore, we hypothesized that naringin could modulate GSK-3β/β-catenin signaling. To confirm this, Western blotting was carried out. As it is shown in Fig. 4 a-b, OGD/R treatment increased the phosphorylation of GSK-3β and more β-catenin in AC16 cells. Yet, the co-treatment of OGD/R and naringin remarkably reduced the phosphorylation of GSK-3β, and the β-catenin expression was increased. Therefore, naringin could modulate the GSK-3β/β-catenin signaling pathway in cardiomyocytes. Our previous research has suggested that naringin could regulate miR-126 and that miR-126 targets GSK-3β. Therefore, we hypothesized that naringin could modulate GSK-3β/β-catenin signaling. To confirm this, Western blotting was carried out. As it is shown in Fig. 4 a-b, OGD/R treatment increased the phosphorylation of GSK-3β and more β-catenin in AC16 cells. Yet, the co-treatment of OGD/R and naringin remarkably reduced the phosphorylation of GSK-3β, and the β-catenin expression was increased. Therefore, naringin could modulate the GSK-3β/β-catenin signaling pathway in cardiomyocytes. Naringin ameliorates myocardial ischemia-reperfusion-induced damage via miR-126/GSK-3β signaling pathway To verify our findings in vivo, a rat I/R model was constructed. As it is illustrated in Fig. 5a, in the I/R treatment group, heart tissue appeared to be more swollen and disorganized, whereas the co-treatment of I/R and naringin reduced the inflammation. The results of TUNEL staining showed that naringin or miR-126 agomir treatment remarkably decreased the apoptosis of cardiomyocytes (Fig. 5b). Additionally, naringin or miR-126 agomir treatment reduced the mRNA expression levels of IL-6, IL-8, and TNF-α (Fig. 5 c-e), proving that naringin has anti-inflammatory effects on I/R. Next, we measured the activity of GSK-3β/β-catenin signaling in rat’s hearts. We discovered that naringin or miR-126 agomir decreased the phosphorylation of GSK-3β and promoted more β-catenin to enter nuclei in I/R rats (Fig. 5f). Thus, these data imply that I/R-induced heart damage and inflammation could be alleviated via miR-126/GSK-3β signaling pathway. To verify our findings in vivo, a rat I/R model was constructed. As it is illustrated in Fig. 5a, in the I/R treatment group, heart tissue appeared to be more swollen and disorganized, whereas the co-treatment of I/R and naringin reduced the inflammation. The results of TUNEL staining showed that naringin or miR-126 agomir treatment remarkably decreased the apoptosis of cardiomyocytes (Fig. 5b). Additionally, naringin or miR-126 agomir treatment reduced the mRNA expression levels of IL-6, IL-8, and TNF-α (Fig. 5 c-e), proving that naringin has anti-inflammatory effects on I/R. Next, we measured the activity of GSK-3β/β-catenin signaling in rat’s hearts. We discovered that naringin or miR-126 agomir decreased the phosphorylation of GSK-3β and promoted more β-catenin to enter nuclei in I/R rats (Fig. 5f). Thus, these data imply that I/R-induced heart damage and inflammation could be alleviated via miR-126/GSK-3β signaling pathway. Naringin reduces OGD/R-induced apoptosis and inflammation of cardiomyocytes: To simulate AMI in vitro, AC16 cells were subjected to OGD/R. To test the efficacy of naringin, various concentrations of naringin were employed to pre-treat cardiomyocytes, and then cell viability was examined by CCK-8 assay. As it is shown in Fig. 1a, naringin increased the cell viability in a dosage-dependent way. The results of flow cytometry showed that the apoptotic percentage of AC16 cells could be significantly reduced by naringin (Fig. 1b). Also, the expression of cleaved caspase-3 and BAX was decreased by naringin (Fig. 1c). Therefore, we chose 200-μM naringin for the subsequent experiments. In the meantime, we tested the effects of naringin on the release of cytokines from AC16 cells. As it is illustrated in Fig. 1 d-f, the concentration of IL-6, IL-8, and TNF-α in AC16 cells was increased significantly following OGD/R treatment, whereas the concentration of these inflammatory factors was downregulated by naringin. Given these results, we thought that the apoptosis and inflammatory response of cardiomyocytes could be attenuated by naringin. Naringin exerts its anti-apoptotic and anti-inflammatory effects via miR-126: It was reported that naringin could modulate miR-126, so we hypothesized that naringin might regulate miR-126 to mediate its effects14. We found that the co-treatment of OGD/R and naringin increased miR-126 expression, when compared to the OGD/R treatment group (Fig. 2a). To explore the role of miR-126, the expression of miR-126 was upregulated or downregulated by transfecting AC16 cells with miR-126 mimic or miR-126 inhibitor (Fig. 2b). Following the transfection, these cells were subject to OGD/R and/ornaringin treatment. As it is displayed in Fig. 2 c-d, AC16 cells treated with OGD/R and miR-126 mimic transfection exhibited less apoptosis, in contrast to those exposed to OGD/R. Moreover, inhibiting miR-126 in AC16 cells which were treated with OGD/R resulted in to exaggerate apoptosis. Next, we found that AC16 cells treated with OGD/R and miR-126 mimic transfection exhibited reduced generation of IL-6, IL-8 and TNF-α, whereas downregulating miR-126 could promote the inflammatory response of AC16 cells (Fig. 2 e-g). These data suggest that miR-126 might mediate the anti-apoptotic and anti-inflammatory effects of naringin. MiR-126 can target GSK3B: To investigate the downstream effector of miR-126, we used StarBase, which could predict the binding sequence between miRNAs and genes. It was predicted that GSK3B could be bound by miR-126 (Fig. 3a). To confirm the interaction between miR-126 and GSK-3β, dual luciferase reporter assay was performed. AC16 cells were co-transfected with pGL3-GSK3B-WT and/or miR-126 mimic, mimic NC, miR-126 inhibitor, and inhibitor NC. AC16 cells with pGL3-GSK3B-WT and miR-126mimic transfected showed lower luciferase activity, in contrast to the control group (Fig. 3b). In addition, AC16 cells with pGL3-GSK3B-WT and miR-126 inhibitor transfected showed higher luciferase activity when compared to the control group (Fig. 3c). Moreover, it was discovered that GSK-3β expression was downregulated when AC16 cells were transfected with miR-126 mimic, but its expression was upregulated when AC16 cells were transfected with miR-126 inhibitor (Fig. 3d). These results indicate that miR-126 could directly modulate GSK-3β expression. Naringin attenuates oxygen-glucose deprivation/recovery-induced apoptosis of cardiomyocytes via GSK-3β/β-catenin signaling pathway: Our previous research has suggested that naringin could regulate miR-126 and that miR-126 targets GSK-3β. Therefore, we hypothesized that naringin could modulate GSK-3β/β-catenin signaling. To confirm this, Western blotting was carried out. As it is shown in Fig. 4 a-b, OGD/R treatment increased the phosphorylation of GSK-3β and more β-catenin in AC16 cells. Yet, the co-treatment of OGD/R and naringin remarkably reduced the phosphorylation of GSK-3β, and the β-catenin expression was increased. Therefore, naringin could modulate the GSK-3β/β-catenin signaling pathway in cardiomyocytes. Naringin ameliorates myocardial ischemia-reperfusion-induced damage via miR-126/GSK-3β signaling pathway: To verify our findings in vivo, a rat I/R model was constructed. As it is illustrated in Fig. 5a, in the I/R treatment group, heart tissue appeared to be more swollen and disorganized, whereas the co-treatment of I/R and naringin reduced the inflammation. The results of TUNEL staining showed that naringin or miR-126 agomir treatment remarkably decreased the apoptosis of cardiomyocytes (Fig. 5b). Additionally, naringin or miR-126 agomir treatment reduced the mRNA expression levels of IL-6, IL-8, and TNF-α (Fig. 5 c-e), proving that naringin has anti-inflammatory effects on I/R. Next, we measured the activity of GSK-3β/β-catenin signaling in rat’s hearts. We discovered that naringin or miR-126 agomir decreased the phosphorylation of GSK-3β and promoted more β-catenin to enter nuclei in I/R rats (Fig. 5f). Thus, these data imply that I/R-induced heart damage and inflammation could be alleviated via miR-126/GSK-3β signaling pathway. Discussion: This research has demonstrated that naringin could significantly reduce OGD/R-induced apoptosis of cardiomyocytes, as well as the release of inflammatory cytokines such as IL-6, IL-8, and TNF-α. Furthermore, our animal experiments proved that naringin shows protective impact on cardiac I/R injury. These results imply that naringin has the potential of improving the clinical outcome of patients with major cardiovascular diseases. Initially, we have found that OGD/R treatment could remarkably impair the viability of cardiomyocytes, whereas naringin can restore their viability with its dosage increasing. In addition, the expression of cleaved caspase-3 and BAX can be downregulated by naringin, and the results of flow cytometry showed that naringin can decrease the apoptotic percentage of cardiomyocytes. To evaluate the inflammatory response of cardiomyocytes, the concentration of IL-6, IL-8, and TNF-α was measured, and we have discovered that the concentration of these cytokines induced by OGD/R can be reduced by naringin. These three cytokines have been shown to play a key role in the pathogenesis of cardiac I/R injury. Plasma IL-6 level is associated with worse clinical outcome of acute myocardial infarction16 , 17. In addition, there is a positive correlation between IL-8 level and heart failure18 , 19, and TNF-α can promote the apoptosis of cardiomyocytes20. Thus, our results showed that naringin can alleviate the apoptosis and inflammation of cardiomyocytes and has the therapeutic potential of cardiac I/R injury. Furthermore, our research pointed out that naringin can exert cardioprotective effects via miR-126. Many researchers have reported that naringin can upregulate miR-126. Chen et al.14 found that naringin can increase miR-126 expression in lung carcinoma to mediate the anti-cancer effects of naringin. Also, Tzu-Wei Tan et al.21 demonstrated that naringin can suppress the migration of chondrosarcoma. It is worth mentioning that miR-126 has been acknowledged as an important miRNA that regulates cardiovascular diseases. It can be used as a biomarker for acute myocardial infarction and even for reducing the apoptosis of cardiomyocytes22 - 25. To confirm that miR-126 mediates the anti-apoptotic and anti-inflammatory effects of naringin, cardiomyocytes were transfected with miR-126 mimic or inhibitor. Upregulating miR-126 in cardiomyocytes that were exposed to OGD/R can have the same protective effects as naringin, while inhibition of miR-126 resulted in to abrogate the anti-inflammatory and anti-apoptotic effects of naringin in cardiomyocytes. In our animal experiments, upregulating miR-126 also reduces the cardiac I/R damage. Therefore, miR-126 is play key role to modulate the anti-inflammatory and anti-apoptotic effects of naringin. In addition, we have discovered that miR-126 can target GSK-3β in cardiomyocytes, and this interaction is reported for the first time. Moreover, our in-vivo and in-vitro experiments have shown that naringin can promote the phosphorylation of GSK-3β and the relocation of β-catenin into nuclei. The pathophysiological role of GSK-3β has been widely studied. The phosphorylation of GSK-3β in cardiomyocytes can activate β-catenin. This can promote the proliferation of cardiomyocytes and maintain the survival of cardiomyocytes. The inhibition of GSK-3β has been shown to reduce cardiac I/R injury, modulate autophygocytosis and attenuate cardiac fibrosis26. It is of note that GSK-3β/β-catenin signaling can modulate the caspase-3-mediated apoptotic signaling pathway27. Moreover, GSK-3β inactivation can alleviate inflammation28 , 29. Considering these research findings and our results, naringin might regulate the apoptosis and inflammation of cardiomyocytes via modulating GSK-3β/β-catenin signaling. However, our research has a few limitations. The first one is that more clinical data is required to verify the clinical significance of miR-126, and GSK-3β/β-catenin signaling in cardiac I/R injury. Second, clinical trials should be conducted to examine the efficacy of naringin in reducing cardiac I/R injury. Conclusion: Naringin can attenuate the apoptosis and inflammation of cardiomyocytes via miR-126/GSK-3β/β-catenin signaling pathway during cardiac I/R injury, which would provide a new insight into pharmaceutical treatment of cardiac I/R.
Background: Myocardial ischemia-reperfusion (I/R) injury is one of the mechanisms contributing to the high mortality rate of acute myocardial infarction. Methods: AC16 cells (human cardiomyocyte cell line) were subjected to oxygen-glucose deprivation/recovery (OGD/R) treatment and/or naringin pretreatment. Then, the apoptosis was examined by flow cytometry and Western blotting. The concentration of IL-6, IL-8 and TNF-α was measured by enzyme-linked immunosorbent assay (ELISA) kits. How naringin influenced microRNA expression was examined by microarrays and quantitative real-time polymerase chain reaction (qRT-PCR). Dual luciferase reporter assay was employed to evaluate the interaction between miR-126 and GSK-3β. The GSK-3β/β-catenin signaling pathway was examined by Western blotting. Finally, rat myocardial I/R model was created to examine the effects of naringin in vivo. Results: Naringin pretreatment significantly decreased the cytokine release and apoptosis of cardiomyocytes exposed to OGD/R. Bioinformatical analysis revealed that naringin upregulated miR-126 expression considerably. Also, it was found that miR-126 can bind GSK-3β and downregulate its expression, suggesting that naringin could decrease GSK-3β activity. Next, we discovered that naringin increased β-catenin activity in cardiomyocytes treated with OGD/R by inhibiting GSK-3β expression. Our animal experiments showed that naringin pre-treatment or miR-126 agomir alleviated myocardial I/R. Conclusions: Naringin preconditioning can reduce myocardial I/R injury via regulating miR-126/GSK-3β/β-catenin signaling pathway, and this chemical can be used to treat acute myocardial infarction.
Introduction: It has been estimated that nearly ischemic heart disease (IHD) has affected 1.72% of the total world population, and its incidence worldwide keeps increasing1. From a pathological perspective, IHD is mainly caused by the reduced blood supply to heart. Therefore, two revascularization strategies–percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG)–have been invented2. Yet, these two revascularization methods carry the risk of cardiac ischemia/reperfusion (I/R) injury. During I/R, there are increased oxidative stress, inflammatory response, and impaired autophagy3. To minimize heart damage, many treatment strategies have been created, for example, suppressing immune response, and decreasing high-blood pressure4. Despite these advances, the mortality of IHD remains very high, which requires novel treatments. Naringin, which is a natural flavanone glycoside, is a main active chemical component from Chinese herbs such as Drynaria fortunei and Citrus aurantium 5. It has been proven to promote bone generation, suppress inflammation, inhibit cancer growth, attenuate oxidative stress, regulate cell metabolism, and improve neurodegenerative diseases6 , 7. Also, naringin shows protective effects on cardiovascular diseases. For example, it can attenuate the toxic effects of doxorubicin and bisphenol on cardiomyocytes via regulating reactive oxygen species (ROS) level and p38/MAPK signaling pathway8 , 9. Another study showed that naringin could reduce cardiac inflammatory response10. Research in other fields has indicated that naringin can attenuate intestinal, testicular, and cerebral I/R injury11 - 13. Yet, its role in cardiac I/R injury remains unknown. Therefore, this research aimed to investigate if naringin could exert any protective effects on cardiac I/R injury. In this research, we hypothesized that naringin could attenuate cardiac I/R-induced injury. AC16 cells (human cardiomyocytes) were exposed to oxygen-glucose deprivation/recovery (OGD/R) treatment, and naringin was employed to pre-treat AC16 cells. In addition, rat I/R model was constructed to validate our findings in vitro. The following is what we have discovered: naringin ameliorates OGD/R-induced apoptosis and inflammation of cardiomyocytes; naringin can modulate GSK-3β/β-catenin signaling pathway via miR-126; miR-126 can bind GSK-3β; naringin can alleviate cardiac I/R injury in vivo. These findings suggest that naringin has therapeutic potential to minimize cardiac I/R injury. Conclusion: Naringin can attenuate the apoptosis and inflammation of cardiomyocytes via miR-126/GSK-3β/β-catenin signaling pathway during cardiac I/R injury, which would provide a new insight into pharmaceutical treatment of cardiac I/R.
Background: Myocardial ischemia-reperfusion (I/R) injury is one of the mechanisms contributing to the high mortality rate of acute myocardial infarction. Methods: AC16 cells (human cardiomyocyte cell line) were subjected to oxygen-glucose deprivation/recovery (OGD/R) treatment and/or naringin pretreatment. Then, the apoptosis was examined by flow cytometry and Western blotting. The concentration of IL-6, IL-8 and TNF-α was measured by enzyme-linked immunosorbent assay (ELISA) kits. How naringin influenced microRNA expression was examined by microarrays and quantitative real-time polymerase chain reaction (qRT-PCR). Dual luciferase reporter assay was employed to evaluate the interaction between miR-126 and GSK-3β. The GSK-3β/β-catenin signaling pathway was examined by Western blotting. Finally, rat myocardial I/R model was created to examine the effects of naringin in vivo. Results: Naringin pretreatment significantly decreased the cytokine release and apoptosis of cardiomyocytes exposed to OGD/R. Bioinformatical analysis revealed that naringin upregulated miR-126 expression considerably. Also, it was found that miR-126 can bind GSK-3β and downregulate its expression, suggesting that naringin could decrease GSK-3β activity. Next, we discovered that naringin increased β-catenin activity in cardiomyocytes treated with OGD/R by inhibiting GSK-3β expression. Our animal experiments showed that naringin pre-treatment or miR-126 agomir alleviated myocardial I/R. Conclusions: Naringin preconditioning can reduce myocardial I/R injury via regulating miR-126/GSK-3β/β-catenin signaling pathway, and this chemical can be used to treat acute myocardial infarction.
9,217
297
[ 111, 188, 73, 201, 75, 81, 244, 72, 320, 80, 79, 223, 238, 203, 123, 211 ]
21
[ "mir", "naringin", "mir 126", "126", "cells", "ac16 cells", "ac16", "gsk", "3β", "gsk 3β" ]
[ "naringin exert cardioprotective", "cardiomyocytes naringin restore", "ischemia reperfusion naringin", "naringin ameliorates myocardial", "naringin reduced inflammation" ]
[CONTENT] Reperfusion Injury | Myocardial Ischemia | Flavonoids | Rats [SUMMARY]
[CONTENT] Reperfusion Injury | Myocardial Ischemia | Flavonoids | Rats [SUMMARY]
[CONTENT] Reperfusion Injury | Myocardial Ischemia | Flavonoids | Rats [SUMMARY]
[CONTENT] Reperfusion Injury | Myocardial Ischemia | Flavonoids | Rats [SUMMARY]
[CONTENT] Reperfusion Injury | Myocardial Ischemia | Flavonoids | Rats [SUMMARY]
[CONTENT] Reperfusion Injury | Myocardial Ischemia | Flavonoids | Rats [SUMMARY]
[CONTENT] Animals | Apoptosis | Flavanones | Glycogen Synthase Kinase 3 beta | MicroRNAs | Myocardial Infarction | Myocardial Reperfusion Injury | Rats | Signal Transduction | beta Catenin [SUMMARY]
[CONTENT] Animals | Apoptosis | Flavanones | Glycogen Synthase Kinase 3 beta | MicroRNAs | Myocardial Infarction | Myocardial Reperfusion Injury | Rats | Signal Transduction | beta Catenin [SUMMARY]
[CONTENT] Animals | Apoptosis | Flavanones | Glycogen Synthase Kinase 3 beta | MicroRNAs | Myocardial Infarction | Myocardial Reperfusion Injury | Rats | Signal Transduction | beta Catenin [SUMMARY]
[CONTENT] Animals | Apoptosis | Flavanones | Glycogen Synthase Kinase 3 beta | MicroRNAs | Myocardial Infarction | Myocardial Reperfusion Injury | Rats | Signal Transduction | beta Catenin [SUMMARY]
[CONTENT] Animals | Apoptosis | Flavanones | Glycogen Synthase Kinase 3 beta | MicroRNAs | Myocardial Infarction | Myocardial Reperfusion Injury | Rats | Signal Transduction | beta Catenin [SUMMARY]
[CONTENT] Animals | Apoptosis | Flavanones | Glycogen Synthase Kinase 3 beta | MicroRNAs | Myocardial Infarction | Myocardial Reperfusion Injury | Rats | Signal Transduction | beta Catenin [SUMMARY]
[CONTENT] naringin exert cardioprotective | cardiomyocytes naringin restore | ischemia reperfusion naringin | naringin ameliorates myocardial | naringin reduced inflammation [SUMMARY]
[CONTENT] naringin exert cardioprotective | cardiomyocytes naringin restore | ischemia reperfusion naringin | naringin ameliorates myocardial | naringin reduced inflammation [SUMMARY]
[CONTENT] naringin exert cardioprotective | cardiomyocytes naringin restore | ischemia reperfusion naringin | naringin ameliorates myocardial | naringin reduced inflammation [SUMMARY]
[CONTENT] naringin exert cardioprotective | cardiomyocytes naringin restore | ischemia reperfusion naringin | naringin ameliorates myocardial | naringin reduced inflammation [SUMMARY]
[CONTENT] naringin exert cardioprotective | cardiomyocytes naringin restore | ischemia reperfusion naringin | naringin ameliorates myocardial | naringin reduced inflammation [SUMMARY]
[CONTENT] naringin exert cardioprotective | cardiomyocytes naringin restore | ischemia reperfusion naringin | naringin ameliorates myocardial | naringin reduced inflammation [SUMMARY]
[CONTENT] mir | naringin | mir 126 | 126 | cells | ac16 cells | ac16 | gsk | 3β | gsk 3β [SUMMARY]
[CONTENT] mir | naringin | mir 126 | 126 | cells | ac16 cells | ac16 | gsk | 3β | gsk 3β [SUMMARY]
[CONTENT] mir | naringin | mir 126 | 126 | cells | ac16 cells | ac16 | gsk | 3β | gsk 3β [SUMMARY]
[CONTENT] mir | naringin | mir 126 | 126 | cells | ac16 cells | ac16 | gsk | 3β | gsk 3β [SUMMARY]
[CONTENT] mir | naringin | mir 126 | 126 | cells | ac16 cells | ac16 | gsk | 3β | gsk 3β [SUMMARY]
[CONTENT] mir | naringin | mir 126 | 126 | cells | ac16 cells | ac16 | gsk | 3β | gsk 3β [SUMMARY]
[CONTENT] cardiac | naringin | injury | attenuate | cardiac injury | ihd | oxidative | high | minimize | revascularization [SUMMARY]
[CONTENT] united | cells | 000 | america | united states america | united states | states america | states | abcam | china [SUMMARY]
[CONTENT] mir 126 | 126 | mir | naringin | fig | cells | ac16 cells | ac16 | ogd | gsk 3β [SUMMARY]
[CONTENT] cardiac | cardiomyocytes mir 126 | pathway cardiac injury provide | cardiomyocytes mir 126 gsk | signaling pathway cardiac | signaling pathway cardiac injury | cardiac injury provide | cardiomyocytes mir | catenin signaling pathway cardiac | pathway cardiac [SUMMARY]
[CONTENT] mir | naringin | mir 126 | 126 | cells | ac16 cells | ac16 | united | fig | 3β [SUMMARY]
[CONTENT] mir | naringin | mir 126 | 126 | cells | ac16 cells | ac16 | united | fig | 3β [SUMMARY]
[CONTENT] [SUMMARY]
[CONTENT] ||| Western ||| IL-6 | TNF | ELISA ||| ||| GSK-3β ||| ||| [SUMMARY]
[CONTENT] OGD/R. Bioinformatical ||| GSK-3β | GSK-3β ||| GSK-3β ||| I/R. [SUMMARY]
[CONTENT] [SUMMARY]
[CONTENT] ||| ||| Western ||| IL-6 | TNF | ELISA ||| ||| GSK-3β ||| ||| ||| ||| OGD/R. Bioinformatical ||| GSK-3β | GSK-3β ||| GSK-3β ||| I/R. Conclusions: Naringin [SUMMARY]
[CONTENT] ||| ||| Western ||| IL-6 | TNF | ELISA ||| ||| GSK-3β ||| ||| ||| ||| OGD/R. Bioinformatical ||| GSK-3β | GSK-3β ||| GSK-3β ||| I/R. Conclusions: Naringin [SUMMARY]
Neurosymptomatic carvenous sinus meningioma: a 15-years experience with fractionated stereotactic radiotherapy and radiosurgery.
24438670
The tumor removal of Cavernous Sinus Meningiomas usually results in severe neurological deficits. Stereotactic radiosurgery (SRS) and fractionated Stereotactic radiotherapy (SRT) are advanced modalities of radiotherapy for treatment of patients with inoperable and symptomatic CSMs. The authors evaluated the long term symptomatology, the image findings, and the toxicity of patients with CSMs treated with SRS or SRT.
BACKGROUND
From 1994 to 2009, 89 patients with symptomatic CSMs were treated with SRS or SRT. The indication was based on tumour volume and or proximity to the optic chiasm. The median single dose of SRS was 14 Gy, while the SRT total dose, ranged from 50.4 to 54 Gy fractionated in 1.8-2 Gy/dose. The median follow-up period lasted 73 months.
PATIENTS AND METHODS
The clinical and radiological improvement was the same despite the method of radiotherapy; 41.6% (SRS) and 48.3% (SRT) of patients treated. The disease-free survivals were 98.8%, 92.3% and 92.3%, in 5, 10, and 15 years, respectively. There was no statistical difference in relation to the symptoms and image findings between both methods. According to the Common Toxicity Criteria, 7% of the patients presented transient optic neuropathy during 3 months (grade 2) and recovered with dexamethasone, 2 patients had trigeminal neuropathy (grade 2) and improved rapidly, and one patient presented total occlusion of the internal carotid artery without neurological deficit (grade 2). Temporary lethargy and headache (grade 1) were the most frequent immediate complications. No severe complications occurred.
RESULTS
Stereotactic Radiosurgery and fractionated Stereotactic Radiotherapy were equally safe and effective in the management of symptomatic CSMs.
CONCLUSIONS
[ "Adult", "Aged", "Aged, 80 and over", "Cavernous Sinus", "Dose Fractionation, Radiation", "Female", "Follow-Up Studies", "Humans", "Magnetic Resonance Imaging", "Male", "Meningeal Neoplasms", "Meningioma", "Middle Aged", "Radiosurgery", "Retrospective Studies", "Skull Base Neoplasms", "Treatment Outcome", "Tumor Burden" ]
3904186
Background
Meningiomas account for 13% to 26% of all intracranial neoplasms. Cavernous sinus meningiomas (CSMs) occur in 0.5 per 100,000 persons in the general population. The vast majority of meningiomas are benign, well differentiated, and with low proliferative potential. The most common clinical features of meningiomas are neurological deficits (e.g. amblyopia), epilepsy, and headache. However, there are an increasing number of asymptomatic patients with CSMs because CT scans or MR is commonly used for evaluation of other medical conditions, as cranial trauma and allows the diagnosis in the preclinical phase. Histological type is the major predictor of meningioma behavior [1]. Despite technical advances regarding microsurgical resections of cavernous sinus meningiomas, they are rarely completely resected and are often accompanied by a high rate of neurological disturbances. After partial or subtotal tumour removal, the probability of recurrence remains significant (13% at 3 years; 38% at 5 years) [2]. The treatment of CSMs aims the best survival and local control coupled with the least possible morbidity. It includes close observation, surgical resection, radiotherapy, systemic therapy or a combination of these approaches. Management decisions obviously should have to take into account the patient-related factors (age, performance status, co-morbidities, and symptoms), and tumor features (size, localization, and histological grade) [1,3]. Given the high incidence of local recurrence, radiotherapy usually is indicated when surgical access is difficult, poses a high risk of permanent neurological damage, resulting in incomplete resection and the tumors are Grades II or III. Stereotactic radiosurgery (SRS) and fractionated Stereotactic radiotherapy (SRT) have been used in the treatment of symptomatic CSMs for more than 15 years. However, there are very few publications about the long-term disease-free survival rates and monitorization of the neurological abnormalities, radiological findings, and toxicity. The aim of this paper is to present the results of the treatment with SRS or SRT of 89 patients with Grade I symptomatic CSMs. Efficacy, symptomatology, and toxicity were analyzed using follow-up imaging studies and clinical examinations.
Patients and methods
A retrospective cohort case study was conducted in the Radiotherapy Department of the Sírio-Libanês Hospital and Beneficência Portuguesa Hospital of São Paulo, Brazil. This study was previously approved by the Committee on Ethics in Research of our institution. From 1994 to 2009, 89 from 132 patients with symptomatic CSMs were treated with SRS or SRT and followed up during, at least, 3 years. The remainder patients were excluded because they were not able to attend the follow up consultations or the follow up lasted less them 3 years. Previous neurosurgical procedures including the biopsy or resection of tumors were performed in 26 out of the 89 patients (18 patients had a previous biopsy only and 8 patients had attempted resection). Histological confirmation was not required when the diagnosis was based on typical imaging findings (well definition of the lesion dural tail, enhancement with contrast). Seventy-three patients were female (82%) with a median age of 56 years. Fifty-seven patients were treated with SRT and 32 were treated with SRS. All of the patients with WHO stage II/III were excluded from follow-up, as well as patients who were monitored for fewer than 3 years. Treatment protocol Both SRS and SRT were performed with a 6MV linear accelerator (Brain LAB system). All of the patients were immobilized using an individually formed stereotactic frame and adapted mask system. Patients with tumors larger than 3 cm diameter, with volume higher than 14 cc, or very close to the visual pathways were treated with SRT. The median total dose of SRT was 50.4 Gy (range 45 - 54 Gy) fractionated as median single doses of 1.8 Gy (range 1.8- 2 Gy). The median total dose of SRS was 14 Gy (range13-15 Gy). The doses of SRS or SRT covered, at least, 95% of the tumour volume treated at the 80-90% of the dose curve. Both SRS and SRT were performed with a 6MV linear accelerator (Brain LAB system). All of the patients were immobilized using an individually formed stereotactic frame and adapted mask system. Patients with tumors larger than 3 cm diameter, with volume higher than 14 cc, or very close to the visual pathways were treated with SRT. The median total dose of SRT was 50.4 Gy (range 45 - 54 Gy) fractionated as median single doses of 1.8 Gy (range 1.8- 2 Gy). The median total dose of SRS was 14 Gy (range13-15 Gy). The doses of SRS or SRT covered, at least, 95% of the tumour volume treated at the 80-90% of the dose curve. Follow-up protocol All of the patients were followed prospectively after the treatment. The protocol included medical evaluations for neurological symptoms and cranial MRI. A first follow-up visit was scheduled 40 days after completion of radiation, and at 3 month intervals thereafter for the first year. From the second year on, follow-up intervals were extended to 6-12 month intervals or as requested clinically. At least 3 years of follow-up was required. Progression free survival was determined based on the RECIST criteria that evaluate two orthogonal diameters of the tumour. Radiological response was defined as the disappearance of the enhancement of the tumour mass or shrinkage of initial volume by at least 20 mm on MRI (Figure 1). Clinical response was defined as regression in signs or symptoms of up to 80% based on pre-treatment levels. MR images demonstrating radiological evolution in 10 years by STR treatment of patients with CV meningiomas. A: MRI for STR planning (1998); B: MRI after 5 years of the STR; C: MRI after 9 years of the STR. All of the patients were followed prospectively after the treatment. The protocol included medical evaluations for neurological symptoms and cranial MRI. A first follow-up visit was scheduled 40 days after completion of radiation, and at 3 month intervals thereafter for the first year. From the second year on, follow-up intervals were extended to 6-12 month intervals or as requested clinically. At least 3 years of follow-up was required. Progression free survival was determined based on the RECIST criteria that evaluate two orthogonal diameters of the tumour. Radiological response was defined as the disappearance of the enhancement of the tumour mass or shrinkage of initial volume by at least 20 mm on MRI (Figure 1). Clinical response was defined as regression in signs or symptoms of up to 80% based on pre-treatment levels. MR images demonstrating radiological evolution in 10 years by STR treatment of patients with CV meningiomas. A: MRI for STR planning (1998); B: MRI after 5 years of the STR; C: MRI after 9 years of the STR. Statistical analysis Patient characteristics were described using relative and absolute frequencies. The “performance status” (KPS), gender, age, tumour volume, and duration of symptoms were described by group and compared between treatments using Student’s t-test, with the exception of symptom duration, which was compared using the Mann–Whitney Test. The presence of each symptom was described using symptom percentages both before and after treatment, compared between treatment time-points, using the McNemar Test. Improvements in symptoms at the end of treatment were recorded according to the type of treatment, while association of treatment with improvement in individual symptoms was verified using the Fisher’s exact test or the chi-squared test. Kaplan–Meier survival curves were plotted using average times to clinical and radiological improvement by treatment type. Time taken to improvement after each treatment type was compared using the log rank test. A significance level of 5% was adopted for all of the tests. Patient characteristics were described using relative and absolute frequencies. The “performance status” (KPS), gender, age, tumour volume, and duration of symptoms were described by group and compared between treatments using Student’s t-test, with the exception of symptom duration, which was compared using the Mann–Whitney Test. The presence of each symptom was described using symptom percentages both before and after treatment, compared between treatment time-points, using the McNemar Test. Improvements in symptoms at the end of treatment were recorded according to the type of treatment, while association of treatment with improvement in individual symptoms was verified using the Fisher’s exact test or the chi-squared test. Kaplan–Meier survival curves were plotted using average times to clinical and radiological improvement by treatment type. Time taken to improvement after each treatment type was compared using the log rank test. A significance level of 5% was adopted for all of the tests.
Results
Local tumour control and neurological symptoms Between 1994 and 2010, 132 patients with symptomatic cavernous sinus meningiomas were treated with SRS and SRT, among whom follow-up was possible in 89 patients. The median follow-up period was 73 months (range: 36-129 months). The patients were predominantly female (82%), and 64% were treated with SRT, whereas 29.2% underwent surgical resection before radiation therapy. The results summarise the pre-treatment quantitative measures assessed for KPS, duration of symptoms, age and tumour volume. Only tumour volume differed between the two treatment techniques (p < 0.001). The mean duration of symptoms was 18 months (SD = 24 months), the mean KPS was 89.4% (SD = 5.3%) and the mean age of the patients was 58.5 years (SD = 16.1 years) - Table 1. Description of quantitative measures assessed by group, and the results of the comparative tests Results based on the Student’s t-Test. *Results based on the Mann–Whitney Test. There were confirmation of statistical equality regarding time to clinical and radiological improvement between the treatments (p > 0.05). Isolation characteristics examined in the patients statistically influenced the time to clinical improvement (p > 0.05). Patients older than 60 years exhibited a time to radiological improvement that was statistically lower than for patients who were younger than 60 years (p = 0.002). Mean clinical improvement was approximately 80 months, while the radiological improvement is approximately 70 months. Relapse occurred in only 4 patients, with a mean of 124 months (Table 2). Estimates of the median times to clinical and radiological features of interest, as well as the second results of the comparative tests In Table 3, all the symptoms showed a statistically significant improvement after treatment (p < 0.05), with the exception of epilepsy (p = 0.25). However, more than half of the cases of epilepsy disappeared (3 of the 5 cases). Description of individual symptoms pre- and post-treatment and results of comparative tests Results on McNemar test. The improvement in each symptom was the same regardless of treatment. No statistically significant association was found between treatment type and improvement in individual symptoms (p > 0.05) (Table 4). Description of improvement in individual symptoms post- treatment by treatment type and results of association tests *Result on Fisher’s Exact Test. *Result on Chi Square Test. No significant difference in time to clinical and radiological improvement was detected between the two types of therapy (p > 0.05) Figure 2. Clinical and radiological improvement was seen in 41.6% and 48.3% of patients, respectively. In the present study, clinical improvement was defined as up to 80% disappearance of the signs and/or symptoms present at pre-treatment. After therapy, approximately 37% of the patients retained at least one neurological complaint that was originally present before radiotherapy. Kaplan-Meier survival curve for the period of time of clinical improvement according to tumor volume of more than 14 cc or less than 14 cc. For the overall group, progression-free survival after 5, 10, and 15 years was 98.8%, 92.3%, and 92.3%, respectively. For the group treated by SRS, the corresponding disease-free survival rates were 100%, 95.7%, and 90.3%, while for the SRT group, the same rates were 98.1%, 90.3%, and 90.3% (p = 0.567), respectively (Figure 3). No severe complications were seen in the population studied. Disease was recurrent in four patients (4.5%). Among the 89 treated patients, seven experienced temporary morbidity related to SRS and were treated with dexamethasone. Many recovered spontaneously, while two patients had trigeminal neuropathy (CTC grade 2), also regressing rapidly with steroid use. One patient had total occlusion of the internal carotid artery with no neurological repercussions (CTC grade 2). Kaplan-Meier curves for progression-free survival. Lethargy and headache (CTC grade 1) were the most frequently reported immediate symptoms during the treatment. No fatal treatment complications occurred, although eight patients passed away during the follow-up period. All mortality was due to co-morbidities or older age and not due to tumour recurrence. Following the SRS/SRT treatments, no radiation-induced malignancies were noted during the 15-year follow-up. Between 1994 and 2010, 132 patients with symptomatic cavernous sinus meningiomas were treated with SRS and SRT, among whom follow-up was possible in 89 patients. The median follow-up period was 73 months (range: 36-129 months). The patients were predominantly female (82%), and 64% were treated with SRT, whereas 29.2% underwent surgical resection before radiation therapy. The results summarise the pre-treatment quantitative measures assessed for KPS, duration of symptoms, age and tumour volume. Only tumour volume differed between the two treatment techniques (p < 0.001). The mean duration of symptoms was 18 months (SD = 24 months), the mean KPS was 89.4% (SD = 5.3%) and the mean age of the patients was 58.5 years (SD = 16.1 years) - Table 1. Description of quantitative measures assessed by group, and the results of the comparative tests Results based on the Student’s t-Test. *Results based on the Mann–Whitney Test. There were confirmation of statistical equality regarding time to clinical and radiological improvement between the treatments (p > 0.05). Isolation characteristics examined in the patients statistically influenced the time to clinical improvement (p > 0.05). Patients older than 60 years exhibited a time to radiological improvement that was statistically lower than for patients who were younger than 60 years (p = 0.002). Mean clinical improvement was approximately 80 months, while the radiological improvement is approximately 70 months. Relapse occurred in only 4 patients, with a mean of 124 months (Table 2). Estimates of the median times to clinical and radiological features of interest, as well as the second results of the comparative tests In Table 3, all the symptoms showed a statistically significant improvement after treatment (p < 0.05), with the exception of epilepsy (p = 0.25). However, more than half of the cases of epilepsy disappeared (3 of the 5 cases). Description of individual symptoms pre- and post-treatment and results of comparative tests Results on McNemar test. The improvement in each symptom was the same regardless of treatment. No statistically significant association was found between treatment type and improvement in individual symptoms (p > 0.05) (Table 4). Description of improvement in individual symptoms post- treatment by treatment type and results of association tests *Result on Fisher’s Exact Test. *Result on Chi Square Test. No significant difference in time to clinical and radiological improvement was detected between the two types of therapy (p > 0.05) Figure 2. Clinical and radiological improvement was seen in 41.6% and 48.3% of patients, respectively. In the present study, clinical improvement was defined as up to 80% disappearance of the signs and/or symptoms present at pre-treatment. After therapy, approximately 37% of the patients retained at least one neurological complaint that was originally present before radiotherapy. Kaplan-Meier survival curve for the period of time of clinical improvement according to tumor volume of more than 14 cc or less than 14 cc. For the overall group, progression-free survival after 5, 10, and 15 years was 98.8%, 92.3%, and 92.3%, respectively. For the group treated by SRS, the corresponding disease-free survival rates were 100%, 95.7%, and 90.3%, while for the SRT group, the same rates were 98.1%, 90.3%, and 90.3% (p = 0.567), respectively (Figure 3). No severe complications were seen in the population studied. Disease was recurrent in four patients (4.5%). Among the 89 treated patients, seven experienced temporary morbidity related to SRS and were treated with dexamethasone. Many recovered spontaneously, while two patients had trigeminal neuropathy (CTC grade 2), also regressing rapidly with steroid use. One patient had total occlusion of the internal carotid artery with no neurological repercussions (CTC grade 2). Kaplan-Meier curves for progression-free survival. Lethargy and headache (CTC grade 1) were the most frequently reported immediate symptoms during the treatment. No fatal treatment complications occurred, although eight patients passed away during the follow-up period. All mortality was due to co-morbidities or older age and not due to tumour recurrence. Following the SRS/SRT treatments, no radiation-induced malignancies were noted during the 15-year follow-up.
Conclusion
SRT and SRS are safe and reliable techniques for the management of symptomatic CSMs patients. The SRS and SRT allow good local tumor control and improvement of the neurological deficits with reduced complication rate. The 15-year disease-free survival was 92.3% in this group; as such, local control appeared to be excellent at first sight from the perspective of treatment efficacy.
[ "Background", "Treatment protocol", "Follow-up protocol", "Statistical analysis", "Local tumour control and neurological symptoms", "Competing interests", "Authors’ contributions" ]
[ "Meningiomas account for 13% to 26% of all intracranial neoplasms. Cavernous sinus meningiomas (CSMs) occur in 0.5 per 100,000 persons in the general population. The vast majority of meningiomas are benign, well differentiated, and with low proliferative potential. The most common clinical features of meningiomas are neurological deficits (e.g. amblyopia), epilepsy, and headache. However, there are an increasing number of asymptomatic patients with CSMs because CT scans or MR is commonly used for evaluation of other medical conditions, as cranial trauma and allows the diagnosis in the preclinical phase. Histological type is the major predictor of meningioma behavior [1].\nDespite technical advances regarding microsurgical resections of cavernous sinus meningiomas, they are rarely completely resected and are often accompanied by a high rate of neurological disturbances. After partial or subtotal tumour removal, the probability of recurrence remains significant (13% at 3 years; 38% at 5 years) [2].\nThe treatment of CSMs aims the best survival and local control coupled with the least possible morbidity. It includes close observation, surgical resection, radiotherapy, systemic therapy or a combination of these approaches. Management decisions obviously should have to take into account the patient-related factors (age, performance status, co-morbidities, and symptoms), and tumor features (size, localization, and histological grade) [1,3]. Given the high incidence of local recurrence, radiotherapy usually is indicated when surgical access is difficult, poses a high risk of permanent neurological damage, resulting in incomplete resection and the tumors are Grades II or III.\nStereotactic radiosurgery (SRS) and fractionated Stereotactic radiotherapy (SRT) have been used in the treatment of symptomatic CSMs for more than 15 years. However, there are very few publications about the long-term disease-free survival rates and monitorization of the neurological abnormalities, radiological findings, and toxicity.\nThe aim of this paper is to present the results of the treatment with SRS or SRT of 89 patients with Grade I symptomatic CSMs. Efficacy, symptomatology, and toxicity were analyzed using follow-up imaging studies and clinical examinations.", "Both SRS and SRT were performed with a 6MV linear accelerator (Brain LAB system). All of the patients were immobilized using an individually formed stereotactic frame and adapted mask system. Patients with tumors larger than 3 cm diameter, with volume higher than 14 cc, or very close to the visual pathways were treated with SRT. The median total dose of SRT was 50.4 Gy (range 45 - 54 Gy) fractionated as median single doses of 1.8 Gy (range 1.8- 2 Gy). The median total dose of SRS was 14 Gy (range13-15 Gy). The doses of SRS or SRT covered, at least, 95% of the tumour volume treated at the 80-90% of the dose curve.", "All of the patients were followed prospectively after the treatment. The protocol included medical evaluations for neurological symptoms and cranial MRI. A first follow-up visit was scheduled 40 days after completion of radiation, and at 3 month intervals thereafter for the first year. From the second year on, follow-up intervals were extended to 6-12 month intervals or as requested clinically. At least 3 years of follow-up was required. Progression free survival was determined based on the RECIST criteria that evaluate two orthogonal diameters of the tumour. Radiological response was defined as the disappearance of the enhancement of the tumour mass or shrinkage of initial volume by at least 20 mm on MRI (Figure 1). Clinical response was defined as regression in signs or symptoms of up to 80% based on pre-treatment levels.\nMR images demonstrating radiological evolution in 10 years by STR treatment of patients with CV meningiomas. A: MRI for STR planning (1998); B: MRI after 5 years of the STR; C: MRI after 9 years of the STR.", "Patient characteristics were described using relative and absolute frequencies. The “performance status” (KPS), gender, age, tumour volume, and duration of symptoms were described by group and compared between treatments using Student’s t-test, with the exception of symptom duration, which was compared using the Mann–Whitney Test.\nThe presence of each symptom was described using symptom percentages both before and after treatment, compared between treatment time-points, using the McNemar Test.\nImprovements in symptoms at the end of treatment were recorded according to the type of treatment, while association of treatment with improvement in individual symptoms was verified using the Fisher’s exact test or the chi-squared test. Kaplan–Meier survival curves were plotted using average times to clinical and radiological improvement by treatment type. Time taken to improvement after each treatment type was compared using the log rank test. A significance level of 5% was adopted for all of the tests.", "Between 1994 and 2010, 132 patients with symptomatic cavernous sinus meningiomas were treated with SRS and SRT, among whom follow-up was possible in 89 patients. The median follow-up period was 73 months (range: 36-129 months). The patients were predominantly female (82%), and 64% were treated with SRT, whereas 29.2% underwent surgical resection before radiation therapy.\nThe results summarise the pre-treatment quantitative measures assessed for KPS, duration of symptoms, age and tumour volume. Only tumour volume differed between the two treatment techniques (p < 0.001). The mean duration of symptoms was 18 months (SD = 24 months), the mean KPS was 89.4% (SD = 5.3%) and the mean age of the patients was 58.5 years (SD = 16.1 years) - Table 1.\nDescription of quantitative measures assessed by group, and the results of the comparative tests\nResults based on the Student’s t-Test.\n*Results based on the Mann–Whitney Test.\nThere were confirmation of statistical equality regarding time to clinical and radiological improvement between the treatments (p > 0.05). Isolation characteristics examined in the patients statistically influenced the time to clinical improvement (p > 0.05). Patients older than 60 years exhibited a time to radiological improvement that was statistically lower than for patients who were younger than 60 years (p = 0.002). Mean clinical improvement was approximately 80 months, while the radiological improvement is approximately 70 months. Relapse occurred in only 4 patients, with a mean of 124 months (Table 2).\nEstimates of the median times to clinical and radiological features of interest, as well as the second results of the comparative tests\nIn Table 3, all the symptoms showed a statistically significant improvement after treatment (p < 0.05), with the exception of epilepsy (p = 0.25). However, more than half of the cases of epilepsy disappeared (3 of the 5 cases).\nDescription of individual symptoms pre- and post-treatment and results of comparative tests\nResults on McNemar test.\nThe improvement in each symptom was the same regardless of treatment. No statistically significant association was found between treatment type and improvement in individual symptoms (p > 0.05) (Table 4).\nDescription of improvement in individual symptoms post- treatment by treatment type and results of association tests\n*Result on Fisher’s Exact Test.\n*Result on Chi Square Test.\nNo significant difference in time to clinical and radiological improvement was detected between the two types of therapy (p > 0.05) Figure 2. Clinical and radiological improvement was seen in 41.6% and 48.3% of patients, respectively. In the present study, clinical improvement was defined as up to 80% disappearance of the signs and/or symptoms present at pre-treatment. After therapy, approximately 37% of the patients retained at least one neurological complaint that was originally present before radiotherapy.\nKaplan-Meier survival curve for the period of time of clinical improvement according to tumor volume of more than 14 cc or less than 14 cc.\nFor the overall group, progression-free survival after 5, 10, and 15 years was 98.8%, 92.3%, and 92.3%, respectively. For the group treated by SRS, the corresponding disease-free survival rates were 100%, 95.7%, and 90.3%, while for the SRT group, the same rates were 98.1%, 90.3%, and 90.3% (p = 0.567), respectively (Figure 3). No severe complications were seen in the population studied. Disease was recurrent in four patients (4.5%). Among the 89 treated patients, seven experienced temporary morbidity related to SRS and were treated with dexamethasone. Many recovered spontaneously, while two patients had trigeminal neuropathy (CTC grade 2), also regressing rapidly with steroid use. One patient had total occlusion of the internal carotid artery with no neurological repercussions (CTC grade 2).\nKaplan-Meier curves for progression-free survival.\nLethargy and headache (CTC grade 1) were the most frequently reported immediate symptoms during the treatment.\nNo fatal treatment complications occurred, although eight patients passed away during the follow-up period. All mortality was due to co-morbidities or older age and not due to tumour recurrence.\nFollowing the SRS/SRT treatments, no radiation-induced malignancies were noted during the 15-year follow-up.", "The authors declare that they have no competing interests.", "We declare that this is an original article and it was never published in another journal. All authors have been involved in analysis, interpretation of data, drafting the manuscript, revising and final approval of the version to be published." ]
[ null, null, null, null, null, null, null ]
[ "Background", "Patients and methods", "Treatment protocol", "Follow-up protocol", "Statistical analysis", "Results", "Local tumour control and neurological symptoms", "Discussion", "Conclusion", "Competing interests", "Authors’ contributions" ]
[ "Meningiomas account for 13% to 26% of all intracranial neoplasms. Cavernous sinus meningiomas (CSMs) occur in 0.5 per 100,000 persons in the general population. The vast majority of meningiomas are benign, well differentiated, and with low proliferative potential. The most common clinical features of meningiomas are neurological deficits (e.g. amblyopia), epilepsy, and headache. However, there are an increasing number of asymptomatic patients with CSMs because CT scans or MR is commonly used for evaluation of other medical conditions, as cranial trauma and allows the diagnosis in the preclinical phase. Histological type is the major predictor of meningioma behavior [1].\nDespite technical advances regarding microsurgical resections of cavernous sinus meningiomas, they are rarely completely resected and are often accompanied by a high rate of neurological disturbances. After partial or subtotal tumour removal, the probability of recurrence remains significant (13% at 3 years; 38% at 5 years) [2].\nThe treatment of CSMs aims the best survival and local control coupled with the least possible morbidity. It includes close observation, surgical resection, radiotherapy, systemic therapy or a combination of these approaches. Management decisions obviously should have to take into account the patient-related factors (age, performance status, co-morbidities, and symptoms), and tumor features (size, localization, and histological grade) [1,3]. Given the high incidence of local recurrence, radiotherapy usually is indicated when surgical access is difficult, poses a high risk of permanent neurological damage, resulting in incomplete resection and the tumors are Grades II or III.\nStereotactic radiosurgery (SRS) and fractionated Stereotactic radiotherapy (SRT) have been used in the treatment of symptomatic CSMs for more than 15 years. However, there are very few publications about the long-term disease-free survival rates and monitorization of the neurological abnormalities, radiological findings, and toxicity.\nThe aim of this paper is to present the results of the treatment with SRS or SRT of 89 patients with Grade I symptomatic CSMs. Efficacy, symptomatology, and toxicity were analyzed using follow-up imaging studies and clinical examinations.", "A retrospective cohort case study was conducted in the Radiotherapy Department of the Sírio-Libanês Hospital and Beneficência Portuguesa Hospital of São Paulo, Brazil.\nThis study was previously approved by the Committee on Ethics in Research of our institution. From 1994 to 2009, 89 from 132 patients with symptomatic CSMs were treated with SRS or SRT and followed up during, at least, 3 years. The remainder patients were excluded because they were not able to attend the follow up consultations or the follow up lasted less them 3 years. Previous neurosurgical procedures including the biopsy or resection of tumors were performed in 26 out of the 89 patients (18 patients had a previous biopsy only and 8 patients had attempted resection). Histological confirmation was not required when the diagnosis was based on typical imaging findings (well definition of the lesion dural tail, enhancement with contrast). Seventy-three patients were female (82%) with a median age of 56 years. Fifty-seven patients were treated with SRT and 32 were treated with SRS.\nAll of the patients with WHO stage II/III were excluded from follow-up, as well as patients who were monitored for fewer than 3 years.\n Treatment protocol Both SRS and SRT were performed with a 6MV linear accelerator (Brain LAB system). All of the patients were immobilized using an individually formed stereotactic frame and adapted mask system. Patients with tumors larger than 3 cm diameter, with volume higher than 14 cc, or very close to the visual pathways were treated with SRT. The median total dose of SRT was 50.4 Gy (range 45 - 54 Gy) fractionated as median single doses of 1.8 Gy (range 1.8- 2 Gy). The median total dose of SRS was 14 Gy (range13-15 Gy). The doses of SRS or SRT covered, at least, 95% of the tumour volume treated at the 80-90% of the dose curve.\nBoth SRS and SRT were performed with a 6MV linear accelerator (Brain LAB system). All of the patients were immobilized using an individually formed stereotactic frame and adapted mask system. Patients with tumors larger than 3 cm diameter, with volume higher than 14 cc, or very close to the visual pathways were treated with SRT. The median total dose of SRT was 50.4 Gy (range 45 - 54 Gy) fractionated as median single doses of 1.8 Gy (range 1.8- 2 Gy). The median total dose of SRS was 14 Gy (range13-15 Gy). The doses of SRS or SRT covered, at least, 95% of the tumour volume treated at the 80-90% of the dose curve.\n Follow-up protocol All of the patients were followed prospectively after the treatment. The protocol included medical evaluations for neurological symptoms and cranial MRI. A first follow-up visit was scheduled 40 days after completion of radiation, and at 3 month intervals thereafter for the first year. From the second year on, follow-up intervals were extended to 6-12 month intervals or as requested clinically. At least 3 years of follow-up was required. Progression free survival was determined based on the RECIST criteria that evaluate two orthogonal diameters of the tumour. Radiological response was defined as the disappearance of the enhancement of the tumour mass or shrinkage of initial volume by at least 20 mm on MRI (Figure 1). Clinical response was defined as regression in signs or symptoms of up to 80% based on pre-treatment levels.\nMR images demonstrating radiological evolution in 10 years by STR treatment of patients with CV meningiomas. A: MRI for STR planning (1998); B: MRI after 5 years of the STR; C: MRI after 9 years of the STR.\nAll of the patients were followed prospectively after the treatment. The protocol included medical evaluations for neurological symptoms and cranial MRI. A first follow-up visit was scheduled 40 days after completion of radiation, and at 3 month intervals thereafter for the first year. From the second year on, follow-up intervals were extended to 6-12 month intervals or as requested clinically. At least 3 years of follow-up was required. Progression free survival was determined based on the RECIST criteria that evaluate two orthogonal diameters of the tumour. Radiological response was defined as the disappearance of the enhancement of the tumour mass or shrinkage of initial volume by at least 20 mm on MRI (Figure 1). Clinical response was defined as regression in signs or symptoms of up to 80% based on pre-treatment levels.\nMR images demonstrating radiological evolution in 10 years by STR treatment of patients with CV meningiomas. A: MRI for STR planning (1998); B: MRI after 5 years of the STR; C: MRI after 9 years of the STR.\n Statistical analysis Patient characteristics were described using relative and absolute frequencies. The “performance status” (KPS), gender, age, tumour volume, and duration of symptoms were described by group and compared between treatments using Student’s t-test, with the exception of symptom duration, which was compared using the Mann–Whitney Test.\nThe presence of each symptom was described using symptom percentages both before and after treatment, compared between treatment time-points, using the McNemar Test.\nImprovements in symptoms at the end of treatment were recorded according to the type of treatment, while association of treatment with improvement in individual symptoms was verified using the Fisher’s exact test or the chi-squared test. Kaplan–Meier survival curves were plotted using average times to clinical and radiological improvement by treatment type. Time taken to improvement after each treatment type was compared using the log rank test. A significance level of 5% was adopted for all of the tests.\nPatient characteristics were described using relative and absolute frequencies. The “performance status” (KPS), gender, age, tumour volume, and duration of symptoms were described by group and compared between treatments using Student’s t-test, with the exception of symptom duration, which was compared using the Mann–Whitney Test.\nThe presence of each symptom was described using symptom percentages both before and after treatment, compared between treatment time-points, using the McNemar Test.\nImprovements in symptoms at the end of treatment were recorded according to the type of treatment, while association of treatment with improvement in individual symptoms was verified using the Fisher’s exact test or the chi-squared test. Kaplan–Meier survival curves were plotted using average times to clinical and radiological improvement by treatment type. Time taken to improvement after each treatment type was compared using the log rank test. A significance level of 5% was adopted for all of the tests.", "Both SRS and SRT were performed with a 6MV linear accelerator (Brain LAB system). All of the patients were immobilized using an individually formed stereotactic frame and adapted mask system. Patients with tumors larger than 3 cm diameter, with volume higher than 14 cc, or very close to the visual pathways were treated with SRT. The median total dose of SRT was 50.4 Gy (range 45 - 54 Gy) fractionated as median single doses of 1.8 Gy (range 1.8- 2 Gy). The median total dose of SRS was 14 Gy (range13-15 Gy). The doses of SRS or SRT covered, at least, 95% of the tumour volume treated at the 80-90% of the dose curve.", "All of the patients were followed prospectively after the treatment. The protocol included medical evaluations for neurological symptoms and cranial MRI. A first follow-up visit was scheduled 40 days after completion of radiation, and at 3 month intervals thereafter for the first year. From the second year on, follow-up intervals were extended to 6-12 month intervals or as requested clinically. At least 3 years of follow-up was required. Progression free survival was determined based on the RECIST criteria that evaluate two orthogonal diameters of the tumour. Radiological response was defined as the disappearance of the enhancement of the tumour mass or shrinkage of initial volume by at least 20 mm on MRI (Figure 1). Clinical response was defined as regression in signs or symptoms of up to 80% based on pre-treatment levels.\nMR images demonstrating radiological evolution in 10 years by STR treatment of patients with CV meningiomas. A: MRI for STR planning (1998); B: MRI after 5 years of the STR; C: MRI after 9 years of the STR.", "Patient characteristics were described using relative and absolute frequencies. The “performance status” (KPS), gender, age, tumour volume, and duration of symptoms were described by group and compared between treatments using Student’s t-test, with the exception of symptom duration, which was compared using the Mann–Whitney Test.\nThe presence of each symptom was described using symptom percentages both before and after treatment, compared between treatment time-points, using the McNemar Test.\nImprovements in symptoms at the end of treatment were recorded according to the type of treatment, while association of treatment with improvement in individual symptoms was verified using the Fisher’s exact test or the chi-squared test. Kaplan–Meier survival curves were plotted using average times to clinical and radiological improvement by treatment type. Time taken to improvement after each treatment type was compared using the log rank test. A significance level of 5% was adopted for all of the tests.", " Local tumour control and neurological symptoms Between 1994 and 2010, 132 patients with symptomatic cavernous sinus meningiomas were treated with SRS and SRT, among whom follow-up was possible in 89 patients. The median follow-up period was 73 months (range: 36-129 months). The patients were predominantly female (82%), and 64% were treated with SRT, whereas 29.2% underwent surgical resection before radiation therapy.\nThe results summarise the pre-treatment quantitative measures assessed for KPS, duration of symptoms, age and tumour volume. Only tumour volume differed between the two treatment techniques (p < 0.001). The mean duration of symptoms was 18 months (SD = 24 months), the mean KPS was 89.4% (SD = 5.3%) and the mean age of the patients was 58.5 years (SD = 16.1 years) - Table 1.\nDescription of quantitative measures assessed by group, and the results of the comparative tests\nResults based on the Student’s t-Test.\n*Results based on the Mann–Whitney Test.\nThere were confirmation of statistical equality regarding time to clinical and radiological improvement between the treatments (p > 0.05). Isolation characteristics examined in the patients statistically influenced the time to clinical improvement (p > 0.05). Patients older than 60 years exhibited a time to radiological improvement that was statistically lower than for patients who were younger than 60 years (p = 0.002). Mean clinical improvement was approximately 80 months, while the radiological improvement is approximately 70 months. Relapse occurred in only 4 patients, with a mean of 124 months (Table 2).\nEstimates of the median times to clinical and radiological features of interest, as well as the second results of the comparative tests\nIn Table 3, all the symptoms showed a statistically significant improvement after treatment (p < 0.05), with the exception of epilepsy (p = 0.25). However, more than half of the cases of epilepsy disappeared (3 of the 5 cases).\nDescription of individual symptoms pre- and post-treatment and results of comparative tests\nResults on McNemar test.\nThe improvement in each symptom was the same regardless of treatment. No statistically significant association was found between treatment type and improvement in individual symptoms (p > 0.05) (Table 4).\nDescription of improvement in individual symptoms post- treatment by treatment type and results of association tests\n*Result on Fisher’s Exact Test.\n*Result on Chi Square Test.\nNo significant difference in time to clinical and radiological improvement was detected between the two types of therapy (p > 0.05) Figure 2. Clinical and radiological improvement was seen in 41.6% and 48.3% of patients, respectively. In the present study, clinical improvement was defined as up to 80% disappearance of the signs and/or symptoms present at pre-treatment. After therapy, approximately 37% of the patients retained at least one neurological complaint that was originally present before radiotherapy.\nKaplan-Meier survival curve for the period of time of clinical improvement according to tumor volume of more than 14 cc or less than 14 cc.\nFor the overall group, progression-free survival after 5, 10, and 15 years was 98.8%, 92.3%, and 92.3%, respectively. For the group treated by SRS, the corresponding disease-free survival rates were 100%, 95.7%, and 90.3%, while for the SRT group, the same rates were 98.1%, 90.3%, and 90.3% (p = 0.567), respectively (Figure 3). No severe complications were seen in the population studied. Disease was recurrent in four patients (4.5%). Among the 89 treated patients, seven experienced temporary morbidity related to SRS and were treated with dexamethasone. Many recovered spontaneously, while two patients had trigeminal neuropathy (CTC grade 2), also regressing rapidly with steroid use. One patient had total occlusion of the internal carotid artery with no neurological repercussions (CTC grade 2).\nKaplan-Meier curves for progression-free survival.\nLethargy and headache (CTC grade 1) were the most frequently reported immediate symptoms during the treatment.\nNo fatal treatment complications occurred, although eight patients passed away during the follow-up period. All mortality was due to co-morbidities or older age and not due to tumour recurrence.\nFollowing the SRS/SRT treatments, no radiation-induced malignancies were noted during the 15-year follow-up.\nBetween 1994 and 2010, 132 patients with symptomatic cavernous sinus meningiomas were treated with SRS and SRT, among whom follow-up was possible in 89 patients. The median follow-up period was 73 months (range: 36-129 months). The patients were predominantly female (82%), and 64% were treated with SRT, whereas 29.2% underwent surgical resection before radiation therapy.\nThe results summarise the pre-treatment quantitative measures assessed for KPS, duration of symptoms, age and tumour volume. Only tumour volume differed between the two treatment techniques (p < 0.001). The mean duration of symptoms was 18 months (SD = 24 months), the mean KPS was 89.4% (SD = 5.3%) and the mean age of the patients was 58.5 years (SD = 16.1 years) - Table 1.\nDescription of quantitative measures assessed by group, and the results of the comparative tests\nResults based on the Student’s t-Test.\n*Results based on the Mann–Whitney Test.\nThere were confirmation of statistical equality regarding time to clinical and radiological improvement between the treatments (p > 0.05). Isolation characteristics examined in the patients statistically influenced the time to clinical improvement (p > 0.05). Patients older than 60 years exhibited a time to radiological improvement that was statistically lower than for patients who were younger than 60 years (p = 0.002). Mean clinical improvement was approximately 80 months, while the radiological improvement is approximately 70 months. Relapse occurred in only 4 patients, with a mean of 124 months (Table 2).\nEstimates of the median times to clinical and radiological features of interest, as well as the second results of the comparative tests\nIn Table 3, all the symptoms showed a statistically significant improvement after treatment (p < 0.05), with the exception of epilepsy (p = 0.25). However, more than half of the cases of epilepsy disappeared (3 of the 5 cases).\nDescription of individual symptoms pre- and post-treatment and results of comparative tests\nResults on McNemar test.\nThe improvement in each symptom was the same regardless of treatment. No statistically significant association was found between treatment type and improvement in individual symptoms (p > 0.05) (Table 4).\nDescription of improvement in individual symptoms post- treatment by treatment type and results of association tests\n*Result on Fisher’s Exact Test.\n*Result on Chi Square Test.\nNo significant difference in time to clinical and radiological improvement was detected between the two types of therapy (p > 0.05) Figure 2. Clinical and radiological improvement was seen in 41.6% and 48.3% of patients, respectively. In the present study, clinical improvement was defined as up to 80% disappearance of the signs and/or symptoms present at pre-treatment. After therapy, approximately 37% of the patients retained at least one neurological complaint that was originally present before radiotherapy.\nKaplan-Meier survival curve for the period of time of clinical improvement according to tumor volume of more than 14 cc or less than 14 cc.\nFor the overall group, progression-free survival after 5, 10, and 15 years was 98.8%, 92.3%, and 92.3%, respectively. For the group treated by SRS, the corresponding disease-free survival rates were 100%, 95.7%, and 90.3%, while for the SRT group, the same rates were 98.1%, 90.3%, and 90.3% (p = 0.567), respectively (Figure 3). No severe complications were seen in the population studied. Disease was recurrent in four patients (4.5%). Among the 89 treated patients, seven experienced temporary morbidity related to SRS and were treated with dexamethasone. Many recovered spontaneously, while two patients had trigeminal neuropathy (CTC grade 2), also regressing rapidly with steroid use. One patient had total occlusion of the internal carotid artery with no neurological repercussions (CTC grade 2).\nKaplan-Meier curves for progression-free survival.\nLethargy and headache (CTC grade 1) were the most frequently reported immediate symptoms during the treatment.\nNo fatal treatment complications occurred, although eight patients passed away during the follow-up period. All mortality was due to co-morbidities or older age and not due to tumour recurrence.\nFollowing the SRS/SRT treatments, no radiation-induced malignancies were noted during the 15-year follow-up.", "Between 1994 and 2010, 132 patients with symptomatic cavernous sinus meningiomas were treated with SRS and SRT, among whom follow-up was possible in 89 patients. The median follow-up period was 73 months (range: 36-129 months). The patients were predominantly female (82%), and 64% were treated with SRT, whereas 29.2% underwent surgical resection before radiation therapy.\nThe results summarise the pre-treatment quantitative measures assessed for KPS, duration of symptoms, age and tumour volume. Only tumour volume differed between the two treatment techniques (p < 0.001). The mean duration of symptoms was 18 months (SD = 24 months), the mean KPS was 89.4% (SD = 5.3%) and the mean age of the patients was 58.5 years (SD = 16.1 years) - Table 1.\nDescription of quantitative measures assessed by group, and the results of the comparative tests\nResults based on the Student’s t-Test.\n*Results based on the Mann–Whitney Test.\nThere were confirmation of statistical equality regarding time to clinical and radiological improvement between the treatments (p > 0.05). Isolation characteristics examined in the patients statistically influenced the time to clinical improvement (p > 0.05). Patients older than 60 years exhibited a time to radiological improvement that was statistically lower than for patients who were younger than 60 years (p = 0.002). Mean clinical improvement was approximately 80 months, while the radiological improvement is approximately 70 months. Relapse occurred in only 4 patients, with a mean of 124 months (Table 2).\nEstimates of the median times to clinical and radiological features of interest, as well as the second results of the comparative tests\nIn Table 3, all the symptoms showed a statistically significant improvement after treatment (p < 0.05), with the exception of epilepsy (p = 0.25). However, more than half of the cases of epilepsy disappeared (3 of the 5 cases).\nDescription of individual symptoms pre- and post-treatment and results of comparative tests\nResults on McNemar test.\nThe improvement in each symptom was the same regardless of treatment. No statistically significant association was found between treatment type and improvement in individual symptoms (p > 0.05) (Table 4).\nDescription of improvement in individual symptoms post- treatment by treatment type and results of association tests\n*Result on Fisher’s Exact Test.\n*Result on Chi Square Test.\nNo significant difference in time to clinical and radiological improvement was detected between the two types of therapy (p > 0.05) Figure 2. Clinical and radiological improvement was seen in 41.6% and 48.3% of patients, respectively. In the present study, clinical improvement was defined as up to 80% disappearance of the signs and/or symptoms present at pre-treatment. After therapy, approximately 37% of the patients retained at least one neurological complaint that was originally present before radiotherapy.\nKaplan-Meier survival curve for the period of time of clinical improvement according to tumor volume of more than 14 cc or less than 14 cc.\nFor the overall group, progression-free survival after 5, 10, and 15 years was 98.8%, 92.3%, and 92.3%, respectively. For the group treated by SRS, the corresponding disease-free survival rates were 100%, 95.7%, and 90.3%, while for the SRT group, the same rates were 98.1%, 90.3%, and 90.3% (p = 0.567), respectively (Figure 3). No severe complications were seen in the population studied. Disease was recurrent in four patients (4.5%). Among the 89 treated patients, seven experienced temporary morbidity related to SRS and were treated with dexamethasone. Many recovered spontaneously, while two patients had trigeminal neuropathy (CTC grade 2), also regressing rapidly with steroid use. One patient had total occlusion of the internal carotid artery with no neurological repercussions (CTC grade 2).\nKaplan-Meier curves for progression-free survival.\nLethargy and headache (CTC grade 1) were the most frequently reported immediate symptoms during the treatment.\nNo fatal treatment complications occurred, although eight patients passed away during the follow-up period. All mortality was due to co-morbidities or older age and not due to tumour recurrence.\nFollowing the SRS/SRT treatments, no radiation-induced malignancies were noted during the 15-year follow-up.", "CSMs cause very incapacitating symptoms. The clinical presentations of these tumors are variable and depend on the location and size of the lesion. Fortunately very often they are asymptomatic and slow growing. Headache, diplopia, amblyopia, facial paresthesias, and retroocular pains are also frequent [2]. Unilateral visual deficit, eye proptosis, convulsions, and neurocognitive disturbances (dysthymias) may also occur in our patients [4]. During the last two decades, there was an increasing number of studies evaluating results of primary or adjuvant radiotherapy for treatment of meningiomas, especially when the preservation of the neurological function is critical. Satisfactory disease control and low morbidity rates were observed in many of the series of CSMs patient treated with SRS. However the majority of the papers published about the treatment of CSMs focuses in the context of “lack of progression”. The present study give special attention to the long term clinical and radiological outcomes of symptomatic CSMs patients treated with SRS or SRT.\nNicolato et al. [5] published a retrospective series evaluating 122 benign cavernous sinus meningiomas treated with SRS at a marginal dose of 14.6 Gy. After a median follow-up period of 48.9 months, disease-free progression over five years was 96.5%. Another series published by Lee et al. [6] examined 159 cases of cavernous sinus meningiomas treated with SRS at a marginal dose of 13 Gy; in this series, 49% of cases had undergone previous.\nsurgical treatment. In those patients with typical meningioma, the control rate was 93.1% over ten years. In the patients who had SRS as the primary treatment, the five-year local control rate was 96.9%. In a similar study, Liscak et al. [7] published a series of 67 cavernous sinus meningioma patients, of whom 64.2% received SRS as the primary treatment. After a median follow-up period of 19 months, no increase in tumour volume was observed in any of the patients. However, these authors reported a temporary morbidity rate of 3.8%.\nIn tumours greater than three centimetres and near the optic tract, SRT represents a favourable radiotherapy option. Several studies have also shown excellent results in terms of local control (90-100%) with few late complications [8,9].\nA study published by Litré et al. [10] examined 100 patients with cavernous sinus meningiomas treated using SRT. Approximately 30% of the patients had undergone partial surgery before this treatment. After a median follow-up period of 33 months, tumour control was 94% in three years. The median dose was 45 Gy, with fractions of 5 Gy given weekly. In terms of symptoms, 81% of the patients with exophthalmia improved, and 52% of diplopic patients noticed improvement, as did 50% of those with cranial nerve V neuropathy. In addition, 67% had improvement in visual acuity. No adverse effects were reported.\nMilker-Zabel et al. [11] published a retrospective study in which 57 patients were treated with SRT for meningiomas of the cavernous sinus (29 patients underwent SRT as initial treatment, 10 patients had previous surgery, and 18 patients received SRT after recurrent disease). The median dose was 57.6 Gy, with 1.8 Gy given daily. After a 6.5 year follow up, the tumour control rate was 100%, with overall survival of 95.5% at five and ten years in patients with a WHO Grade I tumour. After a median follow up period of 50 months, Brell et al. [12], noted tumour control of 93% in five years for patients with cavernous sinus meningiomas treated with FSRT. Fifty per cent of these patients exhibited an improvement in neurological symptoms.\nThese results indicate an improvement in the clinical symptomatology of patients who were treated with radiotherapy (SRT and SRS) ranging from 20% to 69%. This wide variation is most likely related to the heterogeneity of the criteria used in each study, including different definitions for the evaluation of a clinical response. In the present study, a clinical improvement was defined as up to 80% disappearance of the signs/symptoms present at pre- treatment. In all, 41.6% of the evaluated patients responded satisfactorily to treatment, regardless of prior surgical treatment or type of radiotherapy used (SRT or SRS). The radiological response was also very satisfactory, as 92% of the studied patients exhibited attenuation or stabilisation of the disease after treatment. The 15-year progression-free survival was 92.3%, a result that is in agreement with the literature.\nWith the employment of modern techniques of radiotherapy and its capacity to preserve normal tissue structures, the risk of neurocognitive deficits after treatment is very low. This can be seen clearly in patients who have received adjuvant or rescue radiotherapy after neurosurgery who, nevertheless, do not have a higher rate of cognitive deficits compared to those whose treatment was exclusively surgical [12]. Cognitive deficits are most likely associated with other factors, such as the concomitant use of anti-epilepsy medications and the site of the tumour, and not with the use of radiotherapy [13]. In our series, all cases showed good clinical and cognitive outcomes regardless of previous surgery experience.", "SRT and SRS are safe and reliable techniques for the management of symptomatic CSMs patients. The SRS and SRT allow good local tumor control and improvement of the neurological deficits with reduced complication rate. The 15-year disease-free survival was 92.3% in this group; as such, local control appeared to be excellent at first sight from the perspective of treatment efficacy.", "The authors declare that they have no competing interests.", "We declare that this is an original article and it was never published in another journal. All authors have been involved in analysis, interpretation of data, drafting the manuscript, revising and final approval of the version to be published." ]
[ null, "methods", null, null, null, "results", null, "discussion", "conclusions", null, null ]
[ "Meningioma", "Radiotherapy", "Radiosurgery", "Fractionated stereotactic", "Radiotherapy" ]
Background: Meningiomas account for 13% to 26% of all intracranial neoplasms. Cavernous sinus meningiomas (CSMs) occur in 0.5 per 100,000 persons in the general population. The vast majority of meningiomas are benign, well differentiated, and with low proliferative potential. The most common clinical features of meningiomas are neurological deficits (e.g. amblyopia), epilepsy, and headache. However, there are an increasing number of asymptomatic patients with CSMs because CT scans or MR is commonly used for evaluation of other medical conditions, as cranial trauma and allows the diagnosis in the preclinical phase. Histological type is the major predictor of meningioma behavior [1]. Despite technical advances regarding microsurgical resections of cavernous sinus meningiomas, they are rarely completely resected and are often accompanied by a high rate of neurological disturbances. After partial or subtotal tumour removal, the probability of recurrence remains significant (13% at 3 years; 38% at 5 years) [2]. The treatment of CSMs aims the best survival and local control coupled with the least possible morbidity. It includes close observation, surgical resection, radiotherapy, systemic therapy or a combination of these approaches. Management decisions obviously should have to take into account the patient-related factors (age, performance status, co-morbidities, and symptoms), and tumor features (size, localization, and histological grade) [1,3]. Given the high incidence of local recurrence, radiotherapy usually is indicated when surgical access is difficult, poses a high risk of permanent neurological damage, resulting in incomplete resection and the tumors are Grades II or III. Stereotactic radiosurgery (SRS) and fractionated Stereotactic radiotherapy (SRT) have been used in the treatment of symptomatic CSMs for more than 15 years. However, there are very few publications about the long-term disease-free survival rates and monitorization of the neurological abnormalities, radiological findings, and toxicity. The aim of this paper is to present the results of the treatment with SRS or SRT of 89 patients with Grade I symptomatic CSMs. Efficacy, symptomatology, and toxicity were analyzed using follow-up imaging studies and clinical examinations. Patients and methods: A retrospective cohort case study was conducted in the Radiotherapy Department of the Sírio-Libanês Hospital and Beneficência Portuguesa Hospital of São Paulo, Brazil. This study was previously approved by the Committee on Ethics in Research of our institution. From 1994 to 2009, 89 from 132 patients with symptomatic CSMs were treated with SRS or SRT and followed up during, at least, 3 years. The remainder patients were excluded because they were not able to attend the follow up consultations or the follow up lasted less them 3 years. Previous neurosurgical procedures including the biopsy or resection of tumors were performed in 26 out of the 89 patients (18 patients had a previous biopsy only and 8 patients had attempted resection). Histological confirmation was not required when the diagnosis was based on typical imaging findings (well definition of the lesion dural tail, enhancement with contrast). Seventy-three patients were female (82%) with a median age of 56 years. Fifty-seven patients were treated with SRT and 32 were treated with SRS. All of the patients with WHO stage II/III were excluded from follow-up, as well as patients who were monitored for fewer than 3 years. Treatment protocol Both SRS and SRT were performed with a 6MV linear accelerator (Brain LAB system). All of the patients were immobilized using an individually formed stereotactic frame and adapted mask system. Patients with tumors larger than 3 cm diameter, with volume higher than 14 cc, or very close to the visual pathways were treated with SRT. The median total dose of SRT was 50.4 Gy (range 45 - 54 Gy) fractionated as median single doses of 1.8 Gy (range 1.8- 2 Gy). The median total dose of SRS was 14 Gy (range13-15 Gy). The doses of SRS or SRT covered, at least, 95% of the tumour volume treated at the 80-90% of the dose curve. Both SRS and SRT were performed with a 6MV linear accelerator (Brain LAB system). All of the patients were immobilized using an individually formed stereotactic frame and adapted mask system. Patients with tumors larger than 3 cm diameter, with volume higher than 14 cc, or very close to the visual pathways were treated with SRT. The median total dose of SRT was 50.4 Gy (range 45 - 54 Gy) fractionated as median single doses of 1.8 Gy (range 1.8- 2 Gy). The median total dose of SRS was 14 Gy (range13-15 Gy). The doses of SRS or SRT covered, at least, 95% of the tumour volume treated at the 80-90% of the dose curve. Follow-up protocol All of the patients were followed prospectively after the treatment. The protocol included medical evaluations for neurological symptoms and cranial MRI. A first follow-up visit was scheduled 40 days after completion of radiation, and at 3 month intervals thereafter for the first year. From the second year on, follow-up intervals were extended to 6-12 month intervals or as requested clinically. At least 3 years of follow-up was required. Progression free survival was determined based on the RECIST criteria that evaluate two orthogonal diameters of the tumour. Radiological response was defined as the disappearance of the enhancement of the tumour mass or shrinkage of initial volume by at least 20 mm on MRI (Figure 1). Clinical response was defined as regression in signs or symptoms of up to 80% based on pre-treatment levels. MR images demonstrating radiological evolution in 10 years by STR treatment of patients with CV meningiomas. A: MRI for STR planning (1998); B: MRI after 5 years of the STR; C: MRI after 9 years of the STR. All of the patients were followed prospectively after the treatment. The protocol included medical evaluations for neurological symptoms and cranial MRI. A first follow-up visit was scheduled 40 days after completion of radiation, and at 3 month intervals thereafter for the first year. From the second year on, follow-up intervals were extended to 6-12 month intervals or as requested clinically. At least 3 years of follow-up was required. Progression free survival was determined based on the RECIST criteria that evaluate two orthogonal diameters of the tumour. Radiological response was defined as the disappearance of the enhancement of the tumour mass or shrinkage of initial volume by at least 20 mm on MRI (Figure 1). Clinical response was defined as regression in signs or symptoms of up to 80% based on pre-treatment levels. MR images demonstrating radiological evolution in 10 years by STR treatment of patients with CV meningiomas. A: MRI for STR planning (1998); B: MRI after 5 years of the STR; C: MRI after 9 years of the STR. Statistical analysis Patient characteristics were described using relative and absolute frequencies. The “performance status” (KPS), gender, age, tumour volume, and duration of symptoms were described by group and compared between treatments using Student’s t-test, with the exception of symptom duration, which was compared using the Mann–Whitney Test. The presence of each symptom was described using symptom percentages both before and after treatment, compared between treatment time-points, using the McNemar Test. Improvements in symptoms at the end of treatment were recorded according to the type of treatment, while association of treatment with improvement in individual symptoms was verified using the Fisher’s exact test or the chi-squared test. Kaplan–Meier survival curves were plotted using average times to clinical and radiological improvement by treatment type. Time taken to improvement after each treatment type was compared using the log rank test. A significance level of 5% was adopted for all of the tests. Patient characteristics were described using relative and absolute frequencies. The “performance status” (KPS), gender, age, tumour volume, and duration of symptoms were described by group and compared between treatments using Student’s t-test, with the exception of symptom duration, which was compared using the Mann–Whitney Test. The presence of each symptom was described using symptom percentages both before and after treatment, compared between treatment time-points, using the McNemar Test. Improvements in symptoms at the end of treatment were recorded according to the type of treatment, while association of treatment with improvement in individual symptoms was verified using the Fisher’s exact test or the chi-squared test. Kaplan–Meier survival curves were plotted using average times to clinical and radiological improvement by treatment type. Time taken to improvement after each treatment type was compared using the log rank test. A significance level of 5% was adopted for all of the tests. Treatment protocol: Both SRS and SRT were performed with a 6MV linear accelerator (Brain LAB system). All of the patients were immobilized using an individually formed stereotactic frame and adapted mask system. Patients with tumors larger than 3 cm diameter, with volume higher than 14 cc, or very close to the visual pathways were treated with SRT. The median total dose of SRT was 50.4 Gy (range 45 - 54 Gy) fractionated as median single doses of 1.8 Gy (range 1.8- 2 Gy). The median total dose of SRS was 14 Gy (range13-15 Gy). The doses of SRS or SRT covered, at least, 95% of the tumour volume treated at the 80-90% of the dose curve. Follow-up protocol: All of the patients were followed prospectively after the treatment. The protocol included medical evaluations for neurological symptoms and cranial MRI. A first follow-up visit was scheduled 40 days after completion of radiation, and at 3 month intervals thereafter for the first year. From the second year on, follow-up intervals were extended to 6-12 month intervals or as requested clinically. At least 3 years of follow-up was required. Progression free survival was determined based on the RECIST criteria that evaluate two orthogonal diameters of the tumour. Radiological response was defined as the disappearance of the enhancement of the tumour mass or shrinkage of initial volume by at least 20 mm on MRI (Figure 1). Clinical response was defined as regression in signs or symptoms of up to 80% based on pre-treatment levels. MR images demonstrating radiological evolution in 10 years by STR treatment of patients with CV meningiomas. A: MRI for STR planning (1998); B: MRI after 5 years of the STR; C: MRI after 9 years of the STR. Statistical analysis: Patient characteristics were described using relative and absolute frequencies. The “performance status” (KPS), gender, age, tumour volume, and duration of symptoms were described by group and compared between treatments using Student’s t-test, with the exception of symptom duration, which was compared using the Mann–Whitney Test. The presence of each symptom was described using symptom percentages both before and after treatment, compared between treatment time-points, using the McNemar Test. Improvements in symptoms at the end of treatment were recorded according to the type of treatment, while association of treatment with improvement in individual symptoms was verified using the Fisher’s exact test or the chi-squared test. Kaplan–Meier survival curves were plotted using average times to clinical and radiological improvement by treatment type. Time taken to improvement after each treatment type was compared using the log rank test. A significance level of 5% was adopted for all of the tests. Results: Local tumour control and neurological symptoms Between 1994 and 2010, 132 patients with symptomatic cavernous sinus meningiomas were treated with SRS and SRT, among whom follow-up was possible in 89 patients. The median follow-up period was 73 months (range: 36-129 months). The patients were predominantly female (82%), and 64% were treated with SRT, whereas 29.2% underwent surgical resection before radiation therapy. The results summarise the pre-treatment quantitative measures assessed for KPS, duration of symptoms, age and tumour volume. Only tumour volume differed between the two treatment techniques (p < 0.001). The mean duration of symptoms was 18 months (SD = 24 months), the mean KPS was 89.4% (SD = 5.3%) and the mean age of the patients was 58.5 years (SD = 16.1 years) - Table 1. Description of quantitative measures assessed by group, and the results of the comparative tests Results based on the Student’s t-Test. *Results based on the Mann–Whitney Test. There were confirmation of statistical equality regarding time to clinical and radiological improvement between the treatments (p > 0.05). Isolation characteristics examined in the patients statistically influenced the time to clinical improvement (p > 0.05). Patients older than 60 years exhibited a time to radiological improvement that was statistically lower than for patients who were younger than 60 years (p = 0.002). Mean clinical improvement was approximately 80 months, while the radiological improvement is approximately 70 months. Relapse occurred in only 4 patients, with a mean of 124 months (Table 2). Estimates of the median times to clinical and radiological features of interest, as well as the second results of the comparative tests In Table 3, all the symptoms showed a statistically significant improvement after treatment (p < 0.05), with the exception of epilepsy (p = 0.25). However, more than half of the cases of epilepsy disappeared (3 of the 5 cases). Description of individual symptoms pre- and post-treatment and results of comparative tests Results on McNemar test. The improvement in each symptom was the same regardless of treatment. No statistically significant association was found between treatment type and improvement in individual symptoms (p > 0.05) (Table 4). Description of improvement in individual symptoms post- treatment by treatment type and results of association tests *Result on Fisher’s Exact Test. *Result on Chi Square Test. No significant difference in time to clinical and radiological improvement was detected between the two types of therapy (p > 0.05) Figure 2. Clinical and radiological improvement was seen in 41.6% and 48.3% of patients, respectively. In the present study, clinical improvement was defined as up to 80% disappearance of the signs and/or symptoms present at pre-treatment. After therapy, approximately 37% of the patients retained at least one neurological complaint that was originally present before radiotherapy. Kaplan-Meier survival curve for the period of time of clinical improvement according to tumor volume of more than 14 cc or less than 14 cc. For the overall group, progression-free survival after 5, 10, and 15 years was 98.8%, 92.3%, and 92.3%, respectively. For the group treated by SRS, the corresponding disease-free survival rates were 100%, 95.7%, and 90.3%, while for the SRT group, the same rates were 98.1%, 90.3%, and 90.3% (p = 0.567), respectively (Figure 3). No severe complications were seen in the population studied. Disease was recurrent in four patients (4.5%). Among the 89 treated patients, seven experienced temporary morbidity related to SRS and were treated with dexamethasone. Many recovered spontaneously, while two patients had trigeminal neuropathy (CTC grade 2), also regressing rapidly with steroid use. One patient had total occlusion of the internal carotid artery with no neurological repercussions (CTC grade 2). Kaplan-Meier curves for progression-free survival. Lethargy and headache (CTC grade 1) were the most frequently reported immediate symptoms during the treatment. No fatal treatment complications occurred, although eight patients passed away during the follow-up period. All mortality was due to co-morbidities or older age and not due to tumour recurrence. Following the SRS/SRT treatments, no radiation-induced malignancies were noted during the 15-year follow-up. Between 1994 and 2010, 132 patients with symptomatic cavernous sinus meningiomas were treated with SRS and SRT, among whom follow-up was possible in 89 patients. The median follow-up period was 73 months (range: 36-129 months). The patients were predominantly female (82%), and 64% were treated with SRT, whereas 29.2% underwent surgical resection before radiation therapy. The results summarise the pre-treatment quantitative measures assessed for KPS, duration of symptoms, age and tumour volume. Only tumour volume differed between the two treatment techniques (p < 0.001). The mean duration of symptoms was 18 months (SD = 24 months), the mean KPS was 89.4% (SD = 5.3%) and the mean age of the patients was 58.5 years (SD = 16.1 years) - Table 1. Description of quantitative measures assessed by group, and the results of the comparative tests Results based on the Student’s t-Test. *Results based on the Mann–Whitney Test. There were confirmation of statistical equality regarding time to clinical and radiological improvement between the treatments (p > 0.05). Isolation characteristics examined in the patients statistically influenced the time to clinical improvement (p > 0.05). Patients older than 60 years exhibited a time to radiological improvement that was statistically lower than for patients who were younger than 60 years (p = 0.002). Mean clinical improvement was approximately 80 months, while the radiological improvement is approximately 70 months. Relapse occurred in only 4 patients, with a mean of 124 months (Table 2). Estimates of the median times to clinical and radiological features of interest, as well as the second results of the comparative tests In Table 3, all the symptoms showed a statistically significant improvement after treatment (p < 0.05), with the exception of epilepsy (p = 0.25). However, more than half of the cases of epilepsy disappeared (3 of the 5 cases). Description of individual symptoms pre- and post-treatment and results of comparative tests Results on McNemar test. The improvement in each symptom was the same regardless of treatment. No statistically significant association was found between treatment type and improvement in individual symptoms (p > 0.05) (Table 4). Description of improvement in individual symptoms post- treatment by treatment type and results of association tests *Result on Fisher’s Exact Test. *Result on Chi Square Test. No significant difference in time to clinical and radiological improvement was detected between the two types of therapy (p > 0.05) Figure 2. Clinical and radiological improvement was seen in 41.6% and 48.3% of patients, respectively. In the present study, clinical improvement was defined as up to 80% disappearance of the signs and/or symptoms present at pre-treatment. After therapy, approximately 37% of the patients retained at least one neurological complaint that was originally present before radiotherapy. Kaplan-Meier survival curve for the period of time of clinical improvement according to tumor volume of more than 14 cc or less than 14 cc. For the overall group, progression-free survival after 5, 10, and 15 years was 98.8%, 92.3%, and 92.3%, respectively. For the group treated by SRS, the corresponding disease-free survival rates were 100%, 95.7%, and 90.3%, while for the SRT group, the same rates were 98.1%, 90.3%, and 90.3% (p = 0.567), respectively (Figure 3). No severe complications were seen in the population studied. Disease was recurrent in four patients (4.5%). Among the 89 treated patients, seven experienced temporary morbidity related to SRS and were treated with dexamethasone. Many recovered spontaneously, while two patients had trigeminal neuropathy (CTC grade 2), also regressing rapidly with steroid use. One patient had total occlusion of the internal carotid artery with no neurological repercussions (CTC grade 2). Kaplan-Meier curves for progression-free survival. Lethargy and headache (CTC grade 1) were the most frequently reported immediate symptoms during the treatment. No fatal treatment complications occurred, although eight patients passed away during the follow-up period. All mortality was due to co-morbidities or older age and not due to tumour recurrence. Following the SRS/SRT treatments, no radiation-induced malignancies were noted during the 15-year follow-up. Local tumour control and neurological symptoms: Between 1994 and 2010, 132 patients with symptomatic cavernous sinus meningiomas were treated with SRS and SRT, among whom follow-up was possible in 89 patients. The median follow-up period was 73 months (range: 36-129 months). The patients were predominantly female (82%), and 64% were treated with SRT, whereas 29.2% underwent surgical resection before radiation therapy. The results summarise the pre-treatment quantitative measures assessed for KPS, duration of symptoms, age and tumour volume. Only tumour volume differed between the two treatment techniques (p < 0.001). The mean duration of symptoms was 18 months (SD = 24 months), the mean KPS was 89.4% (SD = 5.3%) and the mean age of the patients was 58.5 years (SD = 16.1 years) - Table 1. Description of quantitative measures assessed by group, and the results of the comparative tests Results based on the Student’s t-Test. *Results based on the Mann–Whitney Test. There were confirmation of statistical equality regarding time to clinical and radiological improvement between the treatments (p > 0.05). Isolation characteristics examined in the patients statistically influenced the time to clinical improvement (p > 0.05). Patients older than 60 years exhibited a time to radiological improvement that was statistically lower than for patients who were younger than 60 years (p = 0.002). Mean clinical improvement was approximately 80 months, while the radiological improvement is approximately 70 months. Relapse occurred in only 4 patients, with a mean of 124 months (Table 2). Estimates of the median times to clinical and radiological features of interest, as well as the second results of the comparative tests In Table 3, all the symptoms showed a statistically significant improvement after treatment (p < 0.05), with the exception of epilepsy (p = 0.25). However, more than half of the cases of epilepsy disappeared (3 of the 5 cases). Description of individual symptoms pre- and post-treatment and results of comparative tests Results on McNemar test. The improvement in each symptom was the same regardless of treatment. No statistically significant association was found between treatment type and improvement in individual symptoms (p > 0.05) (Table 4). Description of improvement in individual symptoms post- treatment by treatment type and results of association tests *Result on Fisher’s Exact Test. *Result on Chi Square Test. No significant difference in time to clinical and radiological improvement was detected between the two types of therapy (p > 0.05) Figure 2. Clinical and radiological improvement was seen in 41.6% and 48.3% of patients, respectively. In the present study, clinical improvement was defined as up to 80% disappearance of the signs and/or symptoms present at pre-treatment. After therapy, approximately 37% of the patients retained at least one neurological complaint that was originally present before radiotherapy. Kaplan-Meier survival curve for the period of time of clinical improvement according to tumor volume of more than 14 cc or less than 14 cc. For the overall group, progression-free survival after 5, 10, and 15 years was 98.8%, 92.3%, and 92.3%, respectively. For the group treated by SRS, the corresponding disease-free survival rates were 100%, 95.7%, and 90.3%, while for the SRT group, the same rates were 98.1%, 90.3%, and 90.3% (p = 0.567), respectively (Figure 3). No severe complications were seen in the population studied. Disease was recurrent in four patients (4.5%). Among the 89 treated patients, seven experienced temporary morbidity related to SRS and were treated with dexamethasone. Many recovered spontaneously, while two patients had trigeminal neuropathy (CTC grade 2), also regressing rapidly with steroid use. One patient had total occlusion of the internal carotid artery with no neurological repercussions (CTC grade 2). Kaplan-Meier curves for progression-free survival. Lethargy and headache (CTC grade 1) were the most frequently reported immediate symptoms during the treatment. No fatal treatment complications occurred, although eight patients passed away during the follow-up period. All mortality was due to co-morbidities or older age and not due to tumour recurrence. Following the SRS/SRT treatments, no radiation-induced malignancies were noted during the 15-year follow-up. Discussion: CSMs cause very incapacitating symptoms. The clinical presentations of these tumors are variable and depend on the location and size of the lesion. Fortunately very often they are asymptomatic and slow growing. Headache, diplopia, amblyopia, facial paresthesias, and retroocular pains are also frequent [2]. Unilateral visual deficit, eye proptosis, convulsions, and neurocognitive disturbances (dysthymias) may also occur in our patients [4]. During the last two decades, there was an increasing number of studies evaluating results of primary or adjuvant radiotherapy for treatment of meningiomas, especially when the preservation of the neurological function is critical. Satisfactory disease control and low morbidity rates were observed in many of the series of CSMs patient treated with SRS. However the majority of the papers published about the treatment of CSMs focuses in the context of “lack of progression”. The present study give special attention to the long term clinical and radiological outcomes of symptomatic CSMs patients treated with SRS or SRT. Nicolato et al. [5] published a retrospective series evaluating 122 benign cavernous sinus meningiomas treated with SRS at a marginal dose of 14.6 Gy. After a median follow-up period of 48.9 months, disease-free progression over five years was 96.5%. Another series published by Lee et al. [6] examined 159 cases of cavernous sinus meningiomas treated with SRS at a marginal dose of 13 Gy; in this series, 49% of cases had undergone previous. surgical treatment. In those patients with typical meningioma, the control rate was 93.1% over ten years. In the patients who had SRS as the primary treatment, the five-year local control rate was 96.9%. In a similar study, Liscak et al. [7] published a series of 67 cavernous sinus meningioma patients, of whom 64.2% received SRS as the primary treatment. After a median follow-up period of 19 months, no increase in tumour volume was observed in any of the patients. However, these authors reported a temporary morbidity rate of 3.8%. In tumours greater than three centimetres and near the optic tract, SRT represents a favourable radiotherapy option. Several studies have also shown excellent results in terms of local control (90-100%) with few late complications [8,9]. A study published by Litré et al. [10] examined 100 patients with cavernous sinus meningiomas treated using SRT. Approximately 30% of the patients had undergone partial surgery before this treatment. After a median follow-up period of 33 months, tumour control was 94% in three years. The median dose was 45 Gy, with fractions of 5 Gy given weekly. In terms of symptoms, 81% of the patients with exophthalmia improved, and 52% of diplopic patients noticed improvement, as did 50% of those with cranial nerve V neuropathy. In addition, 67% had improvement in visual acuity. No adverse effects were reported. Milker-Zabel et al. [11] published a retrospective study in which 57 patients were treated with SRT for meningiomas of the cavernous sinus (29 patients underwent SRT as initial treatment, 10 patients had previous surgery, and 18 patients received SRT after recurrent disease). The median dose was 57.6 Gy, with 1.8 Gy given daily. After a 6.5 year follow up, the tumour control rate was 100%, with overall survival of 95.5% at five and ten years in patients with a WHO Grade I tumour. After a median follow up period of 50 months, Brell et al. [12], noted tumour control of 93% in five years for patients with cavernous sinus meningiomas treated with FSRT. Fifty per cent of these patients exhibited an improvement in neurological symptoms. These results indicate an improvement in the clinical symptomatology of patients who were treated with radiotherapy (SRT and SRS) ranging from 20% to 69%. This wide variation is most likely related to the heterogeneity of the criteria used in each study, including different definitions for the evaluation of a clinical response. In the present study, a clinical improvement was defined as up to 80% disappearance of the signs/symptoms present at pre- treatment. In all, 41.6% of the evaluated patients responded satisfactorily to treatment, regardless of prior surgical treatment or type of radiotherapy used (SRT or SRS). The radiological response was also very satisfactory, as 92% of the studied patients exhibited attenuation or stabilisation of the disease after treatment. The 15-year progression-free survival was 92.3%, a result that is in agreement with the literature. With the employment of modern techniques of radiotherapy and its capacity to preserve normal tissue structures, the risk of neurocognitive deficits after treatment is very low. This can be seen clearly in patients who have received adjuvant or rescue radiotherapy after neurosurgery who, nevertheless, do not have a higher rate of cognitive deficits compared to those whose treatment was exclusively surgical [12]. Cognitive deficits are most likely associated with other factors, such as the concomitant use of anti-epilepsy medications and the site of the tumour, and not with the use of radiotherapy [13]. In our series, all cases showed good clinical and cognitive outcomes regardless of previous surgery experience. Conclusion: SRT and SRS are safe and reliable techniques for the management of symptomatic CSMs patients. The SRS and SRT allow good local tumor control and improvement of the neurological deficits with reduced complication rate. The 15-year disease-free survival was 92.3% in this group; as such, local control appeared to be excellent at first sight from the perspective of treatment efficacy. Competing interests: The authors declare that they have no competing interests. Authors’ contributions: We declare that this is an original article and it was never published in another journal. All authors have been involved in analysis, interpretation of data, drafting the manuscript, revising and final approval of the version to be published.
Background: The tumor removal of Cavernous Sinus Meningiomas usually results in severe neurological deficits. Stereotactic radiosurgery (SRS) and fractionated Stereotactic radiotherapy (SRT) are advanced modalities of radiotherapy for treatment of patients with inoperable and symptomatic CSMs. The authors evaluated the long term symptomatology, the image findings, and the toxicity of patients with CSMs treated with SRS or SRT. Methods: From 1994 to 2009, 89 patients with symptomatic CSMs were treated with SRS or SRT. The indication was based on tumour volume and or proximity to the optic chiasm. The median single dose of SRS was 14 Gy, while the SRT total dose, ranged from 50.4 to 54 Gy fractionated in 1.8-2 Gy/dose. The median follow-up period lasted 73 months. Results: The clinical and radiological improvement was the same despite the method of radiotherapy; 41.6% (SRS) and 48.3% (SRT) of patients treated. The disease-free survivals were 98.8%, 92.3% and 92.3%, in 5, 10, and 15 years, respectively. There was no statistical difference in relation to the symptoms and image findings between both methods. According to the Common Toxicity Criteria, 7% of the patients presented transient optic neuropathy during 3 months (grade 2) and recovered with dexamethasone, 2 patients had trigeminal neuropathy (grade 2) and improved rapidly, and one patient presented total occlusion of the internal carotid artery without neurological deficit (grade 2). Temporary lethargy and headache (grade 1) were the most frequent immediate complications. No severe complications occurred. Conclusions: Stereotactic Radiosurgery and fractionated Stereotactic Radiotherapy were equally safe and effective in the management of symptomatic CSMs.
Background: Meningiomas account for 13% to 26% of all intracranial neoplasms. Cavernous sinus meningiomas (CSMs) occur in 0.5 per 100,000 persons in the general population. The vast majority of meningiomas are benign, well differentiated, and with low proliferative potential. The most common clinical features of meningiomas are neurological deficits (e.g. amblyopia), epilepsy, and headache. However, there are an increasing number of asymptomatic patients with CSMs because CT scans or MR is commonly used for evaluation of other medical conditions, as cranial trauma and allows the diagnosis in the preclinical phase. Histological type is the major predictor of meningioma behavior [1]. Despite technical advances regarding microsurgical resections of cavernous sinus meningiomas, they are rarely completely resected and are often accompanied by a high rate of neurological disturbances. After partial or subtotal tumour removal, the probability of recurrence remains significant (13% at 3 years; 38% at 5 years) [2]. The treatment of CSMs aims the best survival and local control coupled with the least possible morbidity. It includes close observation, surgical resection, radiotherapy, systemic therapy or a combination of these approaches. Management decisions obviously should have to take into account the patient-related factors (age, performance status, co-morbidities, and symptoms), and tumor features (size, localization, and histological grade) [1,3]. Given the high incidence of local recurrence, radiotherapy usually is indicated when surgical access is difficult, poses a high risk of permanent neurological damage, resulting in incomplete resection and the tumors are Grades II or III. Stereotactic radiosurgery (SRS) and fractionated Stereotactic radiotherapy (SRT) have been used in the treatment of symptomatic CSMs for more than 15 years. However, there are very few publications about the long-term disease-free survival rates and monitorization of the neurological abnormalities, radiological findings, and toxicity. The aim of this paper is to present the results of the treatment with SRS or SRT of 89 patients with Grade I symptomatic CSMs. Efficacy, symptomatology, and toxicity were analyzed using follow-up imaging studies and clinical examinations. Conclusion: SRT and SRS are safe and reliable techniques for the management of symptomatic CSMs patients. The SRS and SRT allow good local tumor control and improvement of the neurological deficits with reduced complication rate. The 15-year disease-free survival was 92.3% in this group; as such, local control appeared to be excellent at first sight from the perspective of treatment efficacy.
Background: The tumor removal of Cavernous Sinus Meningiomas usually results in severe neurological deficits. Stereotactic radiosurgery (SRS) and fractionated Stereotactic radiotherapy (SRT) are advanced modalities of radiotherapy for treatment of patients with inoperable and symptomatic CSMs. The authors evaluated the long term symptomatology, the image findings, and the toxicity of patients with CSMs treated with SRS or SRT. Methods: From 1994 to 2009, 89 patients with symptomatic CSMs were treated with SRS or SRT. The indication was based on tumour volume and or proximity to the optic chiasm. The median single dose of SRS was 14 Gy, while the SRT total dose, ranged from 50.4 to 54 Gy fractionated in 1.8-2 Gy/dose. The median follow-up period lasted 73 months. Results: The clinical and radiological improvement was the same despite the method of radiotherapy; 41.6% (SRS) and 48.3% (SRT) of patients treated. The disease-free survivals were 98.8%, 92.3% and 92.3%, in 5, 10, and 15 years, respectively. There was no statistical difference in relation to the symptoms and image findings between both methods. According to the Common Toxicity Criteria, 7% of the patients presented transient optic neuropathy during 3 months (grade 2) and recovered with dexamethasone, 2 patients had trigeminal neuropathy (grade 2) and improved rapidly, and one patient presented total occlusion of the internal carotid artery without neurological deficit (grade 2). Temporary lethargy and headache (grade 1) were the most frequent immediate complications. No severe complications occurred. Conclusions: Stereotactic Radiosurgery and fractionated Stereotactic Radiotherapy were equally safe and effective in the management of symptomatic CSMs.
6,107
324
[ 403, 141, 206, 182, 893, 10, 44 ]
11
[ "patients", "treatment", "improvement", "symptoms", "years", "srt", "clinical", "srs", "test", "treated" ]
[ "sinus meningiomas rarely", "meningiomas neurological", "srt meningiomas cavernous", "sinus meningiomas treated", "meningiomas cavernous" ]
[CONTENT] Meningioma | Radiotherapy | Radiosurgery | Fractionated stereotactic | Radiotherapy [SUMMARY]
[CONTENT] Meningioma | Radiotherapy | Radiosurgery | Fractionated stereotactic | Radiotherapy [SUMMARY]
[CONTENT] Meningioma | Radiotherapy | Radiosurgery | Fractionated stereotactic | Radiotherapy [SUMMARY]
[CONTENT] Meningioma | Radiotherapy | Radiosurgery | Fractionated stereotactic | Radiotherapy [SUMMARY]
[CONTENT] Meningioma | Radiotherapy | Radiosurgery | Fractionated stereotactic | Radiotherapy [SUMMARY]
[CONTENT] Meningioma | Radiotherapy | Radiosurgery | Fractionated stereotactic | Radiotherapy [SUMMARY]
[CONTENT] Adult | Aged | Aged, 80 and over | Cavernous Sinus | Dose Fractionation, Radiation | Female | Follow-Up Studies | Humans | Magnetic Resonance Imaging | Male | Meningeal Neoplasms | Meningioma | Middle Aged | Radiosurgery | Retrospective Studies | Skull Base Neoplasms | Treatment Outcome | Tumor Burden [SUMMARY]
[CONTENT] Adult | Aged | Aged, 80 and over | Cavernous Sinus | Dose Fractionation, Radiation | Female | Follow-Up Studies | Humans | Magnetic Resonance Imaging | Male | Meningeal Neoplasms | Meningioma | Middle Aged | Radiosurgery | Retrospective Studies | Skull Base Neoplasms | Treatment Outcome | Tumor Burden [SUMMARY]
[CONTENT] Adult | Aged | Aged, 80 and over | Cavernous Sinus | Dose Fractionation, Radiation | Female | Follow-Up Studies | Humans | Magnetic Resonance Imaging | Male | Meningeal Neoplasms | Meningioma | Middle Aged | Radiosurgery | Retrospective Studies | Skull Base Neoplasms | Treatment Outcome | Tumor Burden [SUMMARY]
[CONTENT] Adult | Aged | Aged, 80 and over | Cavernous Sinus | Dose Fractionation, Radiation | Female | Follow-Up Studies | Humans | Magnetic Resonance Imaging | Male | Meningeal Neoplasms | Meningioma | Middle Aged | Radiosurgery | Retrospective Studies | Skull Base Neoplasms | Treatment Outcome | Tumor Burden [SUMMARY]
[CONTENT] Adult | Aged | Aged, 80 and over | Cavernous Sinus | Dose Fractionation, Radiation | Female | Follow-Up Studies | Humans | Magnetic Resonance Imaging | Male | Meningeal Neoplasms | Meningioma | Middle Aged | Radiosurgery | Retrospective Studies | Skull Base Neoplasms | Treatment Outcome | Tumor Burden [SUMMARY]
[CONTENT] Adult | Aged | Aged, 80 and over | Cavernous Sinus | Dose Fractionation, Radiation | Female | Follow-Up Studies | Humans | Magnetic Resonance Imaging | Male | Meningeal Neoplasms | Meningioma | Middle Aged | Radiosurgery | Retrospective Studies | Skull Base Neoplasms | Treatment Outcome | Tumor Burden [SUMMARY]
[CONTENT] sinus meningiomas rarely | meningiomas neurological | srt meningiomas cavernous | sinus meningiomas treated | meningiomas cavernous [SUMMARY]
[CONTENT] sinus meningiomas rarely | meningiomas neurological | srt meningiomas cavernous | sinus meningiomas treated | meningiomas cavernous [SUMMARY]
[CONTENT] sinus meningiomas rarely | meningiomas neurological | srt meningiomas cavernous | sinus meningiomas treated | meningiomas cavernous [SUMMARY]
[CONTENT] sinus meningiomas rarely | meningiomas neurological | srt meningiomas cavernous | sinus meningiomas treated | meningiomas cavernous [SUMMARY]
[CONTENT] sinus meningiomas rarely | meningiomas neurological | srt meningiomas cavernous | sinus meningiomas treated | meningiomas cavernous [SUMMARY]
[CONTENT] sinus meningiomas rarely | meningiomas neurological | srt meningiomas cavernous | sinus meningiomas treated | meningiomas cavernous [SUMMARY]
[CONTENT] patients | treatment | improvement | symptoms | years | srt | clinical | srs | test | treated [SUMMARY]
[CONTENT] patients | treatment | improvement | symptoms | years | srt | clinical | srs | test | treated [SUMMARY]
[CONTENT] patients | treatment | improvement | symptoms | years | srt | clinical | srs | test | treated [SUMMARY]
[CONTENT] patients | treatment | improvement | symptoms | years | srt | clinical | srs | test | treated [SUMMARY]
[CONTENT] patients | treatment | improvement | symptoms | years | srt | clinical | srs | test | treated [SUMMARY]
[CONTENT] patients | treatment | improvement | symptoms | years | srt | clinical | srs | test | treated [SUMMARY]
[CONTENT] csms | high | meningiomas | neurological | toxicity | account | radiotherapy | histological | 13 | years [SUMMARY]
[CONTENT] treatment | gy | mri | test | patients | str | years | compared | follow | described [SUMMARY]
[CONTENT] improvement | patients | results | months | treatment | symptoms | mean | 05 | clinical | table [SUMMARY]
[CONTENT] local | control | srs | srt | reliable techniques management symptomatic | free survival 92 group | local control appeared | symptomatic csms patients srs | reliable techniques management | reliable techniques [SUMMARY]
[CONTENT] treatment | patients | improvement | test | gy | srt | symptoms | years | srs | treated [SUMMARY]
[CONTENT] treatment | patients | improvement | test | gy | srt | symptoms | years | srs | treated [SUMMARY]
[CONTENT] Cavernous Sinus Meningiomas ||| SRT ||| SRS | SRT [SUMMARY]
[CONTENT] 1994 to 2009 | 89 | SRS | SRT ||| ||| SRS | 14 | SRT | 50.4 | 1.8 ||| 73 months [SUMMARY]
[CONTENT] 41.6% | SRS | 48.3% | SRT ||| 98.8% | 92.3% | 92.3% | 5 | 10 | 15 years ||| ||| the Common Toxicity Criteria | 7% | 3 months | 2 | 2 | 2 | one | 2 ||| 1 ||| [SUMMARY]
[CONTENT] Stereotactic Radiotherapy [SUMMARY]
[CONTENT] Cavernous Sinus Meningiomas ||| SRT ||| SRS | SRT ||| 1994 to 2009 | 89 | SRS | SRT ||| ||| SRS | 14 | SRT | 50.4 | 1.8 ||| 73 months ||| 41.6% | SRS | 48.3% | SRT ||| 98.8% | 92.3% | 92.3% | 5 | 10 | 15 years ||| ||| the Common Toxicity Criteria | 7% | 3 months | 2 | 2 | 2 | one | 2 ||| 1 ||| ||| Stereotactic Radiotherapy [SUMMARY]
[CONTENT] Cavernous Sinus Meningiomas ||| SRT ||| SRS | SRT ||| 1994 to 2009 | 89 | SRS | SRT ||| ||| SRS | 14 | SRT | 50.4 | 1.8 ||| 73 months ||| 41.6% | SRS | 48.3% | SRT ||| 98.8% | 92.3% | 92.3% | 5 | 10 | 15 years ||| ||| the Common Toxicity Criteria | 7% | 3 months | 2 | 2 | 2 | one | 2 ||| 1 ||| ||| Stereotactic Radiotherapy [SUMMARY]
Estimating error in using residential outdoor PM2.5 concentrations as proxies for personal exposures: a meta-analysis.
20075021
Studies examining the health effects of particulate matter <or= 2.5 microm in aerodynamic diameter (PM2.5) commonly use ambient PM2.5 concentrations measured at distal monitoring sites as proxies for personal exposure and assume spatial homogeneity of ambient PM2.5. An alternative proxy-the residential outdoor PM2.5 concentration measured adjacent to participant homes-has few advantages under this assumption.
BACKGROUND
We searched seven electronic reference databases for studies of the within-participant residential outdoor-personal PM2.5 correlation.
METHODS
The search identified 567 candidate studies, nine of which were abstracted in duplicate, that were published between 1996 and 2008. They represented 329 nonsmoking participants 6-93 years of age in eight U.S. cities, among whom -rj was estimated (median, 0.53; range, 0.25-0.79) based on a median of seven residential outdoor-personal PM2.5 pairs per participant. We found modest evidence of publication bias (symmetric funnel plot; pBegg = 0.4; pEgger = 0.2); however, we identified evidence of heterogeneity (Cochran's Q-test p = 0.05). Of the 20 characteristics examined, earlier study midpoints, eastern longitudes, older mean age, higher outdoor temperatures, and lower personal-residential outdoor PM2.5 differences were associated with increased within-participant residential outdoor-personal PM2.5 correlations.
RESULTS
These findings were similar to those from a contemporaneous meta-analysis that examined ambient-personal PM2.5 correlations (rj = median, 0.54; range, 0.09-0.83). Collectively, the meta-analyses suggest that residential outdoor-personal and ambient-personal PM2.5 correlations merit greater consideration when evaluating the potential for bias in studies of PM2.5-mediated health effects.
CONCLUSIONS
[ "Adolescent", "Adult", "Aged", "Aged, 80 and over", "Child", "Environmental Health", "Environmental Monitoring", "Female", "Humans", "Inhalation Exposure", "Male", "Middle Aged", "Particulate Matter", "United States", "Young Adult" ]
2866684
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Statistical analysis
Summary correlation and variance estimates for the jth study were estimated from the personal ambient PM2.5 correlations measured for each of the ith participants. Each within-participant correlation coefficient (ri) was converted to its variance-stabilizing Fisher’s z-transform: Zri = (1 ÷ 2)loge[(1 + ri) ÷ (1 − ri)] (Fisher 1925). Estimates of the within-participant variance [vi = 1 ÷ (ni − 3)] and between-participant variance (τj2 = [Qj − (kj − 1)] ÷ c) for the jth study were estimated from the number of paired personal-residential outdoor PM2.5 measurements for each participant (ni), the number of participants per study (kj), the weighted sum of squared errors [Qj = ∑i=1k (ni − 3)(Zri − Zri)2], and a constant (c) = ∑ki=1(ni − 3) − [∑ki=1(ni − 3)2 ÷ ∑i=1k (ni − 3)]). The transformed effect size for the jth study is given by Z̄j = ∑i=1kwiZri ÷ ∑i=1kwi with participant-specific weights [wi = ([1 ÷ (ni − 3)] + τj2)−1], study-specific standard errors [Sj = (1 ÷ ∑i=1kwi)1/2], and study-specific weights [Wj = (1 ÷ sj)2]. Negative τ2 estimates were set to 0 (Field 2001). We assessed publication bias, which is present when study results influence the chance or timing of publication (Begg and Berlin 1989), using a “funnel plot” of Wj versus Z̄j. In the absence of publication bias, plots usually resemble a symmetrical funnel, with the more precise estimates forming the spout and the less precise estimates forming the cone. We also evaluated the adjusted rank correlation (Begg and Mazumdar 1994) and regression asymmetry tests (Egger et al. 1997) as well as a nonparametric “trim-and-fill” method that imputes hypothetically missing results due to publication bias (Duval and Tweedie 2000). Low p-values associated with the former tests (pBegg, pEgger) give evidence of asymmetry. Interstudy heterogeneity was evaluated using a plot of Z̄j ÷ Sj versus 1 ÷ Sj (Galbraith 1988) and with Cochran’s Q-test (Cochran 1954). The plot and test are related in that the position of the jth study along the vertical axis illustrates its contribution to Q-test statistic. In the absence of appreciable evidence of heterogeneity, all studies fall within the 95% confidence interval (CI) and pCochran > 0.1. We first assessed variation in the strength and precision of Z̄j across levels of the study, environment, and participant characteristics with a summary random-effects estimate of Z̄ within each study, environment, and participant category (Berkey et al. 1995). We also constructed a series of univariable random-effects meta-regression models to relate each study, environment, and participant characteristic to differences in -Z̄j. Lastly, a multivariable random-effects meta-regression model and a backward elimination strategy were used to evaluate 8 study, participant, and environment characteristics routinely available in epidemiologic studies of PM2.5 health effects: latitude, longitude, mean age, percent female, relative humidity, sea level pressure, mean temperature, and mean residential outdoor PM2.5 (measured in this setting or spatially interpolated in other studies). Interval-scale characteristics were analyzed before and after dichotomization at their medians unless noted otherwise. We used STATA (version 9; StataCorp LP, College Station, TX) to perform all the analyses. To facilitate interpretation, summary estimates (i.e., Z̄) were back-transformed to their original metric r̄ after data analysis.
Results
The systematic review identified 567 candidate studies for screening. Of these studies, nine (2%) met the criteria for critical appraisal and were abstracted (Brown et al. 2008; Liu et al. 2003; Reid 2003; Rodes et al. 2001; Rojas-Bracho et al. 2000; Suh et al. 2003; Wallace 1996; Williams et al. 2000a, 2000b, 2003a). Abstracted studies were published between 1996 and 2008 (Table 1), were set in eight cities in six U.S. states, and were conducted between 1989 and 2001. The median study duration was 1.9 months (range, 0.2–15.2 months), a period in which 70% of the studies collected PM2.5 data over consecutive days. During data collection, the investigators recorded a median of seven (range, 5–20) pairs of residential outdoor and personal PM2.5 concentrations per participant, on which the within-participant Pearson (63%) and Spearman (37%) correlation coefficients were based (Table 1). The studies represented 329 nonsmoking participants 6–93 (median, 70) years old, 55% of whom were female and 25% of whom did not report chronic pulmonary or cardiovascular disease (Table 2). On average, residential outdoor PM2.5 concentrations (range, 8.6–42.6 μg/m3) were lower than personal PM2.5 concentrations (range, 9.3–70.0 μg/m3), with a median residential outdoor-personal PM2.5 difference of −1.55 μg/m3 (range, −27.4 to 9.0 μg/m3; Table 3). The estimated r̄j (median, 0.53; range, 0.25–0.79) and its standard deviation varied widely (Figure 1), the latter reflecting variability in sample weights (median, 53.6; range, 9.4–548.1). Temperature (range, 2.0–24.0°C) and relative humidity (range, 27.3–78.9%) were also variable. Figure 2, a funnel plot of Z̄j, shows little evidence of asymmetry. This was consistent with pBegg = 0.4, pEgger = 0.2, although the “trim-and-fill” analysis imputed seven hypothetically missing studies. Figure 3, a Galbraith plot in which three observations fell outside the 95% CIs, provides evidence of heterogeneity. This evidence was consistent with pCochran = 0.05. Several study, participant, and environmental characteristics were suggestively associated with moderate increases in the within-participant residential outdoor-personal PM2.5 correlation coefficient in univariate meta-regression models (Figure 4), including earlier study midpoints, eastern longitudes, older mean age, lower personal-residential outdoor PM2.5 differences (and ratios), and higher mean temperatures (Figure 5). For example, every 5°C increase in mean temperature was associated with a 0.10 95% CI, (−0.02, 0.21) unit difference in r̄. The direct association between mean temperature and r̄j also was apparent when evaluating mean temperature dichotomized at the median: In studies with a mean temperature ≥ 13.43°C, r̄ was 0.59 (range, 0.40–0.74), and in those with a mean temperature < 13.43°C, r̄ was 0.50 (range, 0.44–0.56). When evaluating multivariable meta-regression models, only higher mean ages and eastern longitudes were associated with an increased within-participant residential outdoor-personal PM2.5 correlation coefficient (p < 0.05).
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[ "Methods", "Systematic review strategy" ]
[ " Systematic review strategy We devised a search strategy to identify studies of the within-participant residential outdoor-personal PM2.5 correlation. No limitations on document type, language, or publication date were used. On 12 November 2007, we conducted searches in PubMed (http://www.ncbi.nlm.nih.gov/pubmed; 1950 to 12 November 2007), Web of Science (http://thomsonreuters.com/products_services/science/science_products/a-z/web_of_science; 1955 to 12 November 2007), BIOSIS Previews (http://www.thomsonscientific.com/cgi-bin/jrnlst/jloptions.cgi?PC=BP; 1969 to 12 November 2007), CSA Environmental Sciences and Pollution Management (http://www.csa.com/factsheets/envclust-set-c.php; 1967 to 12 November 2007), TOXLINE (http://toxnet.nlm.nih.gov/; 1965 to 12 November 2007), and Proquest Dissertations and Theses (http://www.proquest.com/en-US/catalogs/databases/detail/pqdt.shtml; 1861 to 12 November 2007). We searched EMBASE (http://www.embase.com/; 1974 to 12 November 2007), on 14 December 2007.\nThe following strategy was used to search PubMed: (PM 2.5 OR PM2.5 OR PM25 OR PM 25 OR fine particle) AND (ambient OR outdoor OR outdoors OR outside OR exterior OR external OR background OR fixed site*) AND (individual OR personal) AND (correlat* OR associat* OR relat* OR compar* OR pearson OR spearman). The same four sets of key words were adapted for input into Web of Science, BIOSIS Previews, CSA Environmental Sciences and Pollution Management, TOXLINE, and EMBASE. The Dissertations and Theses search required only the first three sets of key words to create a result set small enough for review.\nWe downloaded citations to an electronic reference manager (EndNote X1; Thomson Reuters, New York, NY), de-duplicated, and supplemented with secondary references cited in articles identified in the primary search. The citations were independently reviewed with respect to three inclusion criteria: measurement of residential outdoor PM2.5, measurement of personal PM2.5, and estimation of the within-participant residential outdoor-personal PM2.5 correlation. Study, participant, and environment characteristics were extracted from all articles meeting the inclusion criteria. The study characteristics were journal of publication, publication date, setting, study dates, sample size, duration of study, timing (consecutive, nonconsecutive), lower limit of PM2.5 detection, number (minimum, mean) of paired PM2.5 measures, and correlation metric (Pearson, Spearman). Participant characteristics included age (mean, minimum, maximum), percent female, and the presence of comorbidities (pulmonary, cardiovascular, multiple, neither). Environmental characteristics included the mean, median, and standard deviation of PM2.5 concentrations (residential outdoor, personal), the within-participant residential outdoor-personal PM2.5 correlation coefficients and corresponding number of paired measurements, season, distance to monitor, monitor type, air exchange rate, percentage of time using air conditioning, and percentage of time with windows open. Discrepant exclusions and extractions were adjudicated by consensus. Supplemental data were requested from authors by electronic mail as needed. City-specific longitudes and latitudes were obtained from the GEOnet Names Server (National Geospatial-Intelligence Agency 2009). Meteorologic data were obtained from the National Climatic Data Center (2009).\nWe devised a search strategy to identify studies of the within-participant residential outdoor-personal PM2.5 correlation. No limitations on document type, language, or publication date were used. On 12 November 2007, we conducted searches in PubMed (http://www.ncbi.nlm.nih.gov/pubmed; 1950 to 12 November 2007), Web of Science (http://thomsonreuters.com/products_services/science/science_products/a-z/web_of_science; 1955 to 12 November 2007), BIOSIS Previews (http://www.thomsonscientific.com/cgi-bin/jrnlst/jloptions.cgi?PC=BP; 1969 to 12 November 2007), CSA Environmental Sciences and Pollution Management (http://www.csa.com/factsheets/envclust-set-c.php; 1967 to 12 November 2007), TOXLINE (http://toxnet.nlm.nih.gov/; 1965 to 12 November 2007), and Proquest Dissertations and Theses (http://www.proquest.com/en-US/catalogs/databases/detail/pqdt.shtml; 1861 to 12 November 2007). We searched EMBASE (http://www.embase.com/; 1974 to 12 November 2007), on 14 December 2007.\nThe following strategy was used to search PubMed: (PM 2.5 OR PM2.5 OR PM25 OR PM 25 OR fine particle) AND (ambient OR outdoor OR outdoors OR outside OR exterior OR external OR background OR fixed site*) AND (individual OR personal) AND (correlat* OR associat* OR relat* OR compar* OR pearson OR spearman). The same four sets of key words were adapted for input into Web of Science, BIOSIS Previews, CSA Environmental Sciences and Pollution Management, TOXLINE, and EMBASE. The Dissertations and Theses search required only the first three sets of key words to create a result set small enough for review.\nWe downloaded citations to an electronic reference manager (EndNote X1; Thomson Reuters, New York, NY), de-duplicated, and supplemented with secondary references cited in articles identified in the primary search. The citations were independently reviewed with respect to three inclusion criteria: measurement of residential outdoor PM2.5, measurement of personal PM2.5, and estimation of the within-participant residential outdoor-personal PM2.5 correlation. Study, participant, and environment characteristics were extracted from all articles meeting the inclusion criteria. The study characteristics were journal of publication, publication date, setting, study dates, sample size, duration of study, timing (consecutive, nonconsecutive), lower limit of PM2.5 detection, number (minimum, mean) of paired PM2.5 measures, and correlation metric (Pearson, Spearman). Participant characteristics included age (mean, minimum, maximum), percent female, and the presence of comorbidities (pulmonary, cardiovascular, multiple, neither). Environmental characteristics included the mean, median, and standard deviation of PM2.5 concentrations (residential outdoor, personal), the within-participant residential outdoor-personal PM2.5 correlation coefficients and corresponding number of paired measurements, season, distance to monitor, monitor type, air exchange rate, percentage of time using air conditioning, and percentage of time with windows open. Discrepant exclusions and extractions were adjudicated by consensus. Supplemental data were requested from authors by electronic mail as needed. City-specific longitudes and latitudes were obtained from the GEOnet Names Server (National Geospatial-Intelligence Agency 2009). Meteorologic data were obtained from the National Climatic Data Center (2009).\n Statistical analysis Summary correlation and variance estimates for the jth study were estimated from the personal ambient PM2.5 correlations measured for each of the ith participants. Each within-participant correlation coefficient (ri) was converted to its variance-stabilizing Fisher’s z-transform: Zri = (1 ÷ 2)loge[(1 + ri) ÷ (1 − ri)] (Fisher 1925). Estimates of the within-participant variance [vi = 1 ÷ (ni − 3)] and between-participant variance (τj2 = [Qj − (kj − 1)] ÷ c) for the jth study were estimated from the number of paired personal-residential outdoor PM2.5 measurements for each participant (ni), the number of participants per study (kj), the weighted sum of squared errors [Qj = ∑i=1k (ni − 3)(Zri − Zri)2], and a constant (c) = ∑ki=1(ni − 3) − [∑ki=1(ni − 3)2 ÷ ∑i=1k (ni − 3)]). The transformed effect size for the jth study is given by Z̄j = ∑i=1kwiZri ÷ ∑i=1kwi with participant-specific weights [wi = ([1 ÷ (ni − 3)] + τj2)−1], study-specific standard errors [Sj = (1 ÷ ∑i=1kwi)1/2], and study-specific weights [Wj = (1 ÷ sj)2]. Negative τ2 estimates were set to 0 (Field 2001).\nWe assessed publication bias, which is present when study results influence the chance or timing of publication (Begg and Berlin 1989), using a “funnel plot” of Wj versus Z̄j. In the absence of publication bias, plots usually resemble a symmetrical funnel, with the more precise estimates forming the spout and the less precise estimates forming the cone. We also evaluated the adjusted rank correlation (Begg and Mazumdar 1994) and regression asymmetry tests (Egger et al. 1997) as well as a nonparametric “trim-and-fill” method that imputes hypothetically missing results due to publication bias (Duval and Tweedie 2000). Low p-values associated with the former tests (pBegg, pEgger) give evidence of asymmetry.\nInterstudy heterogeneity was evaluated using a plot of Z̄j ÷ Sj versus 1 ÷ Sj (Galbraith 1988) and with Cochran’s Q-test (Cochran 1954). The plot and test are related in that the position of the jth study along the vertical axis illustrates its contribution to Q-test statistic. In the absence of appreciable evidence of heterogeneity, all studies fall within the 95% confidence interval (CI) and pCochran > 0.1.\nWe first assessed variation in the strength and precision of Z̄j across levels of the study, environment, and participant characteristics with a summary random-effects estimate of Z̄ within each study, environment, and participant category (Berkey et al. 1995). We also constructed a series of univariable random-effects meta-regression models to relate each study, environment, and participant characteristic to differences in -Z̄j. Lastly, a multivariable random-effects meta-regression model and a backward elimination strategy were used to evaluate 8 study, participant, and environment characteristics routinely available in epidemiologic studies of PM2.5 health effects: latitude, longitude, mean age, percent female, relative humidity, sea level pressure, mean temperature, and mean residential outdoor PM2.5 (measured in this setting or spatially interpolated in other studies). Interval-scale characteristics were analyzed before and after dichotomization at their medians unless noted otherwise. We used STATA (version 9; StataCorp LP, College Station, TX) to perform all the analyses. To facilitate interpretation, summary estimates (i.e., Z̄) were back-transformed to their original metric r̄ after data analysis.\nSummary correlation and variance estimates for the jth study were estimated from the personal ambient PM2.5 correlations measured for each of the ith participants. Each within-participant correlation coefficient (ri) was converted to its variance-stabilizing Fisher’s z-transform: Zri = (1 ÷ 2)loge[(1 + ri) ÷ (1 − ri)] (Fisher 1925). Estimates of the within-participant variance [vi = 1 ÷ (ni − 3)] and between-participant variance (τj2 = [Qj − (kj − 1)] ÷ c) for the jth study were estimated from the number of paired personal-residential outdoor PM2.5 measurements for each participant (ni), the number of participants per study (kj), the weighted sum of squared errors [Qj = ∑i=1k (ni − 3)(Zri − Zri)2], and a constant (c) = ∑ki=1(ni − 3) − [∑ki=1(ni − 3)2 ÷ ∑i=1k (ni − 3)]). The transformed effect size for the jth study is given by Z̄j = ∑i=1kwiZri ÷ ∑i=1kwi with participant-specific weights [wi = ([1 ÷ (ni − 3)] + τj2)−1], study-specific standard errors [Sj = (1 ÷ ∑i=1kwi)1/2], and study-specific weights [Wj = (1 ÷ sj)2]. Negative τ2 estimates were set to 0 (Field 2001).\nWe assessed publication bias, which is present when study results influence the chance or timing of publication (Begg and Berlin 1989), using a “funnel plot” of Wj versus Z̄j. In the absence of publication bias, plots usually resemble a symmetrical funnel, with the more precise estimates forming the spout and the less precise estimates forming the cone. We also evaluated the adjusted rank correlation (Begg and Mazumdar 1994) and regression asymmetry tests (Egger et al. 1997) as well as a nonparametric “trim-and-fill” method that imputes hypothetically missing results due to publication bias (Duval and Tweedie 2000). Low p-values associated with the former tests (pBegg, pEgger) give evidence of asymmetry.\nInterstudy heterogeneity was evaluated using a plot of Z̄j ÷ Sj versus 1 ÷ Sj (Galbraith 1988) and with Cochran’s Q-test (Cochran 1954). The plot and test are related in that the position of the jth study along the vertical axis illustrates its contribution to Q-test statistic. In the absence of appreciable evidence of heterogeneity, all studies fall within the 95% confidence interval (CI) and pCochran > 0.1.\nWe first assessed variation in the strength and precision of Z̄j across levels of the study, environment, and participant characteristics with a summary random-effects estimate of Z̄ within each study, environment, and participant category (Berkey et al. 1995). We also constructed a series of univariable random-effects meta-regression models to relate each study, environment, and participant characteristic to differences in -Z̄j. Lastly, a multivariable random-effects meta-regression model and a backward elimination strategy were used to evaluate 8 study, participant, and environment characteristics routinely available in epidemiologic studies of PM2.5 health effects: latitude, longitude, mean age, percent female, relative humidity, sea level pressure, mean temperature, and mean residential outdoor PM2.5 (measured in this setting or spatially interpolated in other studies). Interval-scale characteristics were analyzed before and after dichotomization at their medians unless noted otherwise. We used STATA (version 9; StataCorp LP, College Station, TX) to perform all the analyses. To facilitate interpretation, summary estimates (i.e., Z̄) were back-transformed to their original metric r̄ after data analysis.", "We devised a search strategy to identify studies of the within-participant residential outdoor-personal PM2.5 correlation. No limitations on document type, language, or publication date were used. On 12 November 2007, we conducted searches in PubMed (http://www.ncbi.nlm.nih.gov/pubmed; 1950 to 12 November 2007), Web of Science (http://thomsonreuters.com/products_services/science/science_products/a-z/web_of_science; 1955 to 12 November 2007), BIOSIS Previews (http://www.thomsonscientific.com/cgi-bin/jrnlst/jloptions.cgi?PC=BP; 1969 to 12 November 2007), CSA Environmental Sciences and Pollution Management (http://www.csa.com/factsheets/envclust-set-c.php; 1967 to 12 November 2007), TOXLINE (http://toxnet.nlm.nih.gov/; 1965 to 12 November 2007), and Proquest Dissertations and Theses (http://www.proquest.com/en-US/catalogs/databases/detail/pqdt.shtml; 1861 to 12 November 2007). We searched EMBASE (http://www.embase.com/; 1974 to 12 November 2007), on 14 December 2007.\nThe following strategy was used to search PubMed: (PM 2.5 OR PM2.5 OR PM25 OR PM 25 OR fine particle) AND (ambient OR outdoor OR outdoors OR outside OR exterior OR external OR background OR fixed site*) AND (individual OR personal) AND (correlat* OR associat* OR relat* OR compar* OR pearson OR spearman). The same four sets of key words were adapted for input into Web of Science, BIOSIS Previews, CSA Environmental Sciences and Pollution Management, TOXLINE, and EMBASE. The Dissertations and Theses search required only the first three sets of key words to create a result set small enough for review.\nWe downloaded citations to an electronic reference manager (EndNote X1; Thomson Reuters, New York, NY), de-duplicated, and supplemented with secondary references cited in articles identified in the primary search. The citations were independently reviewed with respect to three inclusion criteria: measurement of residential outdoor PM2.5, measurement of personal PM2.5, and estimation of the within-participant residential outdoor-personal PM2.5 correlation. Study, participant, and environment characteristics were extracted from all articles meeting the inclusion criteria. The study characteristics were journal of publication, publication date, setting, study dates, sample size, duration of study, timing (consecutive, nonconsecutive), lower limit of PM2.5 detection, number (minimum, mean) of paired PM2.5 measures, and correlation metric (Pearson, Spearman). Participant characteristics included age (mean, minimum, maximum), percent female, and the presence of comorbidities (pulmonary, cardiovascular, multiple, neither). Environmental characteristics included the mean, median, and standard deviation of PM2.5 concentrations (residential outdoor, personal), the within-participant residential outdoor-personal PM2.5 correlation coefficients and corresponding number of paired measurements, season, distance to monitor, monitor type, air exchange rate, percentage of time using air conditioning, and percentage of time with windows open. Discrepant exclusions and extractions were adjudicated by consensus. Supplemental data were requested from authors by electronic mail as needed. City-specific longitudes and latitudes were obtained from the GEOnet Names Server (National Geospatial-Intelligence Agency 2009). Meteorologic data were obtained from the National Climatic Data Center (2009)." ]
[ "methods", null ]
[ "Methods", "Systematic review strategy", "Statistical analysis", "Results", "Discussion" ]
[ " Systematic review strategy We devised a search strategy to identify studies of the within-participant residential outdoor-personal PM2.5 correlation. No limitations on document type, language, or publication date were used. On 12 November 2007, we conducted searches in PubMed (http://www.ncbi.nlm.nih.gov/pubmed; 1950 to 12 November 2007), Web of Science (http://thomsonreuters.com/products_services/science/science_products/a-z/web_of_science; 1955 to 12 November 2007), BIOSIS Previews (http://www.thomsonscientific.com/cgi-bin/jrnlst/jloptions.cgi?PC=BP; 1969 to 12 November 2007), CSA Environmental Sciences and Pollution Management (http://www.csa.com/factsheets/envclust-set-c.php; 1967 to 12 November 2007), TOXLINE (http://toxnet.nlm.nih.gov/; 1965 to 12 November 2007), and Proquest Dissertations and Theses (http://www.proquest.com/en-US/catalogs/databases/detail/pqdt.shtml; 1861 to 12 November 2007). We searched EMBASE (http://www.embase.com/; 1974 to 12 November 2007), on 14 December 2007.\nThe following strategy was used to search PubMed: (PM 2.5 OR PM2.5 OR PM25 OR PM 25 OR fine particle) AND (ambient OR outdoor OR outdoors OR outside OR exterior OR external OR background OR fixed site*) AND (individual OR personal) AND (correlat* OR associat* OR relat* OR compar* OR pearson OR spearman). The same four sets of key words were adapted for input into Web of Science, BIOSIS Previews, CSA Environmental Sciences and Pollution Management, TOXLINE, and EMBASE. The Dissertations and Theses search required only the first three sets of key words to create a result set small enough for review.\nWe downloaded citations to an electronic reference manager (EndNote X1; Thomson Reuters, New York, NY), de-duplicated, and supplemented with secondary references cited in articles identified in the primary search. The citations were independently reviewed with respect to three inclusion criteria: measurement of residential outdoor PM2.5, measurement of personal PM2.5, and estimation of the within-participant residential outdoor-personal PM2.5 correlation. Study, participant, and environment characteristics were extracted from all articles meeting the inclusion criteria. The study characteristics were journal of publication, publication date, setting, study dates, sample size, duration of study, timing (consecutive, nonconsecutive), lower limit of PM2.5 detection, number (minimum, mean) of paired PM2.5 measures, and correlation metric (Pearson, Spearman). Participant characteristics included age (mean, minimum, maximum), percent female, and the presence of comorbidities (pulmonary, cardiovascular, multiple, neither). Environmental characteristics included the mean, median, and standard deviation of PM2.5 concentrations (residential outdoor, personal), the within-participant residential outdoor-personal PM2.5 correlation coefficients and corresponding number of paired measurements, season, distance to monitor, monitor type, air exchange rate, percentage of time using air conditioning, and percentage of time with windows open. Discrepant exclusions and extractions were adjudicated by consensus. Supplemental data were requested from authors by electronic mail as needed. City-specific longitudes and latitudes were obtained from the GEOnet Names Server (National Geospatial-Intelligence Agency 2009). Meteorologic data were obtained from the National Climatic Data Center (2009).\nWe devised a search strategy to identify studies of the within-participant residential outdoor-personal PM2.5 correlation. No limitations on document type, language, or publication date were used. On 12 November 2007, we conducted searches in PubMed (http://www.ncbi.nlm.nih.gov/pubmed; 1950 to 12 November 2007), Web of Science (http://thomsonreuters.com/products_services/science/science_products/a-z/web_of_science; 1955 to 12 November 2007), BIOSIS Previews (http://www.thomsonscientific.com/cgi-bin/jrnlst/jloptions.cgi?PC=BP; 1969 to 12 November 2007), CSA Environmental Sciences and Pollution Management (http://www.csa.com/factsheets/envclust-set-c.php; 1967 to 12 November 2007), TOXLINE (http://toxnet.nlm.nih.gov/; 1965 to 12 November 2007), and Proquest Dissertations and Theses (http://www.proquest.com/en-US/catalogs/databases/detail/pqdt.shtml; 1861 to 12 November 2007). We searched EMBASE (http://www.embase.com/; 1974 to 12 November 2007), on 14 December 2007.\nThe following strategy was used to search PubMed: (PM 2.5 OR PM2.5 OR PM25 OR PM 25 OR fine particle) AND (ambient OR outdoor OR outdoors OR outside OR exterior OR external OR background OR fixed site*) AND (individual OR personal) AND (correlat* OR associat* OR relat* OR compar* OR pearson OR spearman). The same four sets of key words were adapted for input into Web of Science, BIOSIS Previews, CSA Environmental Sciences and Pollution Management, TOXLINE, and EMBASE. The Dissertations and Theses search required only the first three sets of key words to create a result set small enough for review.\nWe downloaded citations to an electronic reference manager (EndNote X1; Thomson Reuters, New York, NY), de-duplicated, and supplemented with secondary references cited in articles identified in the primary search. The citations were independently reviewed with respect to three inclusion criteria: measurement of residential outdoor PM2.5, measurement of personal PM2.5, and estimation of the within-participant residential outdoor-personal PM2.5 correlation. Study, participant, and environment characteristics were extracted from all articles meeting the inclusion criteria. The study characteristics were journal of publication, publication date, setting, study dates, sample size, duration of study, timing (consecutive, nonconsecutive), lower limit of PM2.5 detection, number (minimum, mean) of paired PM2.5 measures, and correlation metric (Pearson, Spearman). Participant characteristics included age (mean, minimum, maximum), percent female, and the presence of comorbidities (pulmonary, cardiovascular, multiple, neither). Environmental characteristics included the mean, median, and standard deviation of PM2.5 concentrations (residential outdoor, personal), the within-participant residential outdoor-personal PM2.5 correlation coefficients and corresponding number of paired measurements, season, distance to monitor, monitor type, air exchange rate, percentage of time using air conditioning, and percentage of time with windows open. Discrepant exclusions and extractions were adjudicated by consensus. Supplemental data were requested from authors by electronic mail as needed. City-specific longitudes and latitudes were obtained from the GEOnet Names Server (National Geospatial-Intelligence Agency 2009). Meteorologic data were obtained from the National Climatic Data Center (2009).\n Statistical analysis Summary correlation and variance estimates for the jth study were estimated from the personal ambient PM2.5 correlations measured for each of the ith participants. Each within-participant correlation coefficient (ri) was converted to its variance-stabilizing Fisher’s z-transform: Zri = (1 ÷ 2)loge[(1 + ri) ÷ (1 − ri)] (Fisher 1925). Estimates of the within-participant variance [vi = 1 ÷ (ni − 3)] and between-participant variance (τj2 = [Qj − (kj − 1)] ÷ c) for the jth study were estimated from the number of paired personal-residential outdoor PM2.5 measurements for each participant (ni), the number of participants per study (kj), the weighted sum of squared errors [Qj = ∑i=1k (ni − 3)(Zri − Zri)2], and a constant (c) = ∑ki=1(ni − 3) − [∑ki=1(ni − 3)2 ÷ ∑i=1k (ni − 3)]). The transformed effect size for the jth study is given by Z̄j = ∑i=1kwiZri ÷ ∑i=1kwi with participant-specific weights [wi = ([1 ÷ (ni − 3)] + τj2)−1], study-specific standard errors [Sj = (1 ÷ ∑i=1kwi)1/2], and study-specific weights [Wj = (1 ÷ sj)2]. Negative τ2 estimates were set to 0 (Field 2001).\nWe assessed publication bias, which is present when study results influence the chance or timing of publication (Begg and Berlin 1989), using a “funnel plot” of Wj versus Z̄j. In the absence of publication bias, plots usually resemble a symmetrical funnel, with the more precise estimates forming the spout and the less precise estimates forming the cone. We also evaluated the adjusted rank correlation (Begg and Mazumdar 1994) and regression asymmetry tests (Egger et al. 1997) as well as a nonparametric “trim-and-fill” method that imputes hypothetically missing results due to publication bias (Duval and Tweedie 2000). Low p-values associated with the former tests (pBegg, pEgger) give evidence of asymmetry.\nInterstudy heterogeneity was evaluated using a plot of Z̄j ÷ Sj versus 1 ÷ Sj (Galbraith 1988) and with Cochran’s Q-test (Cochran 1954). The plot and test are related in that the position of the jth study along the vertical axis illustrates its contribution to Q-test statistic. In the absence of appreciable evidence of heterogeneity, all studies fall within the 95% confidence interval (CI) and pCochran > 0.1.\nWe first assessed variation in the strength and precision of Z̄j across levels of the study, environment, and participant characteristics with a summary random-effects estimate of Z̄ within each study, environment, and participant category (Berkey et al. 1995). We also constructed a series of univariable random-effects meta-regression models to relate each study, environment, and participant characteristic to differences in -Z̄j. Lastly, a multivariable random-effects meta-regression model and a backward elimination strategy were used to evaluate 8 study, participant, and environment characteristics routinely available in epidemiologic studies of PM2.5 health effects: latitude, longitude, mean age, percent female, relative humidity, sea level pressure, mean temperature, and mean residential outdoor PM2.5 (measured in this setting or spatially interpolated in other studies). Interval-scale characteristics were analyzed before and after dichotomization at their medians unless noted otherwise. We used STATA (version 9; StataCorp LP, College Station, TX) to perform all the analyses. To facilitate interpretation, summary estimates (i.e., Z̄) were back-transformed to their original metric r̄ after data analysis.\nSummary correlation and variance estimates for the jth study were estimated from the personal ambient PM2.5 correlations measured for each of the ith participants. Each within-participant correlation coefficient (ri) was converted to its variance-stabilizing Fisher’s z-transform: Zri = (1 ÷ 2)loge[(1 + ri) ÷ (1 − ri)] (Fisher 1925). Estimates of the within-participant variance [vi = 1 ÷ (ni − 3)] and between-participant variance (τj2 = [Qj − (kj − 1)] ÷ c) for the jth study were estimated from the number of paired personal-residential outdoor PM2.5 measurements for each participant (ni), the number of participants per study (kj), the weighted sum of squared errors [Qj = ∑i=1k (ni − 3)(Zri − Zri)2], and a constant (c) = ∑ki=1(ni − 3) − [∑ki=1(ni − 3)2 ÷ ∑i=1k (ni − 3)]). The transformed effect size for the jth study is given by Z̄j = ∑i=1kwiZri ÷ ∑i=1kwi with participant-specific weights [wi = ([1 ÷ (ni − 3)] + τj2)−1], study-specific standard errors [Sj = (1 ÷ ∑i=1kwi)1/2], and study-specific weights [Wj = (1 ÷ sj)2]. Negative τ2 estimates were set to 0 (Field 2001).\nWe assessed publication bias, which is present when study results influence the chance or timing of publication (Begg and Berlin 1989), using a “funnel plot” of Wj versus Z̄j. In the absence of publication bias, plots usually resemble a symmetrical funnel, with the more precise estimates forming the spout and the less precise estimates forming the cone. We also evaluated the adjusted rank correlation (Begg and Mazumdar 1994) and regression asymmetry tests (Egger et al. 1997) as well as a nonparametric “trim-and-fill” method that imputes hypothetically missing results due to publication bias (Duval and Tweedie 2000). Low p-values associated with the former tests (pBegg, pEgger) give evidence of asymmetry.\nInterstudy heterogeneity was evaluated using a plot of Z̄j ÷ Sj versus 1 ÷ Sj (Galbraith 1988) and with Cochran’s Q-test (Cochran 1954). The plot and test are related in that the position of the jth study along the vertical axis illustrates its contribution to Q-test statistic. In the absence of appreciable evidence of heterogeneity, all studies fall within the 95% confidence interval (CI) and pCochran > 0.1.\nWe first assessed variation in the strength and precision of Z̄j across levels of the study, environment, and participant characteristics with a summary random-effects estimate of Z̄ within each study, environment, and participant category (Berkey et al. 1995). We also constructed a series of univariable random-effects meta-regression models to relate each study, environment, and participant characteristic to differences in -Z̄j. Lastly, a multivariable random-effects meta-regression model and a backward elimination strategy were used to evaluate 8 study, participant, and environment characteristics routinely available in epidemiologic studies of PM2.5 health effects: latitude, longitude, mean age, percent female, relative humidity, sea level pressure, mean temperature, and mean residential outdoor PM2.5 (measured in this setting or spatially interpolated in other studies). Interval-scale characteristics were analyzed before and after dichotomization at their medians unless noted otherwise. We used STATA (version 9; StataCorp LP, College Station, TX) to perform all the analyses. To facilitate interpretation, summary estimates (i.e., Z̄) were back-transformed to their original metric r̄ after data analysis.", "We devised a search strategy to identify studies of the within-participant residential outdoor-personal PM2.5 correlation. No limitations on document type, language, or publication date were used. On 12 November 2007, we conducted searches in PubMed (http://www.ncbi.nlm.nih.gov/pubmed; 1950 to 12 November 2007), Web of Science (http://thomsonreuters.com/products_services/science/science_products/a-z/web_of_science; 1955 to 12 November 2007), BIOSIS Previews (http://www.thomsonscientific.com/cgi-bin/jrnlst/jloptions.cgi?PC=BP; 1969 to 12 November 2007), CSA Environmental Sciences and Pollution Management (http://www.csa.com/factsheets/envclust-set-c.php; 1967 to 12 November 2007), TOXLINE (http://toxnet.nlm.nih.gov/; 1965 to 12 November 2007), and Proquest Dissertations and Theses (http://www.proquest.com/en-US/catalogs/databases/detail/pqdt.shtml; 1861 to 12 November 2007). We searched EMBASE (http://www.embase.com/; 1974 to 12 November 2007), on 14 December 2007.\nThe following strategy was used to search PubMed: (PM 2.5 OR PM2.5 OR PM25 OR PM 25 OR fine particle) AND (ambient OR outdoor OR outdoors OR outside OR exterior OR external OR background OR fixed site*) AND (individual OR personal) AND (correlat* OR associat* OR relat* OR compar* OR pearson OR spearman). The same four sets of key words were adapted for input into Web of Science, BIOSIS Previews, CSA Environmental Sciences and Pollution Management, TOXLINE, and EMBASE. The Dissertations and Theses search required only the first three sets of key words to create a result set small enough for review.\nWe downloaded citations to an electronic reference manager (EndNote X1; Thomson Reuters, New York, NY), de-duplicated, and supplemented with secondary references cited in articles identified in the primary search. The citations were independently reviewed with respect to three inclusion criteria: measurement of residential outdoor PM2.5, measurement of personal PM2.5, and estimation of the within-participant residential outdoor-personal PM2.5 correlation. Study, participant, and environment characteristics were extracted from all articles meeting the inclusion criteria. The study characteristics were journal of publication, publication date, setting, study dates, sample size, duration of study, timing (consecutive, nonconsecutive), lower limit of PM2.5 detection, number (minimum, mean) of paired PM2.5 measures, and correlation metric (Pearson, Spearman). Participant characteristics included age (mean, minimum, maximum), percent female, and the presence of comorbidities (pulmonary, cardiovascular, multiple, neither). Environmental characteristics included the mean, median, and standard deviation of PM2.5 concentrations (residential outdoor, personal), the within-participant residential outdoor-personal PM2.5 correlation coefficients and corresponding number of paired measurements, season, distance to monitor, monitor type, air exchange rate, percentage of time using air conditioning, and percentage of time with windows open. Discrepant exclusions and extractions were adjudicated by consensus. Supplemental data were requested from authors by electronic mail as needed. City-specific longitudes and latitudes were obtained from the GEOnet Names Server (National Geospatial-Intelligence Agency 2009). Meteorologic data were obtained from the National Climatic Data Center (2009).", "Summary correlation and variance estimates for the jth study were estimated from the personal ambient PM2.5 correlations measured for each of the ith participants. Each within-participant correlation coefficient (ri) was converted to its variance-stabilizing Fisher’s z-transform: Zri = (1 ÷ 2)loge[(1 + ri) ÷ (1 − ri)] (Fisher 1925). Estimates of the within-participant variance [vi = 1 ÷ (ni − 3)] and between-participant variance (τj2 = [Qj − (kj − 1)] ÷ c) for the jth study were estimated from the number of paired personal-residential outdoor PM2.5 measurements for each participant (ni), the number of participants per study (kj), the weighted sum of squared errors [Qj = ∑i=1k (ni − 3)(Zri − Zri)2], and a constant (c) = ∑ki=1(ni − 3) − [∑ki=1(ni − 3)2 ÷ ∑i=1k (ni − 3)]). The transformed effect size for the jth study is given by Z̄j = ∑i=1kwiZri ÷ ∑i=1kwi with participant-specific weights [wi = ([1 ÷ (ni − 3)] + τj2)−1], study-specific standard errors [Sj = (1 ÷ ∑i=1kwi)1/2], and study-specific weights [Wj = (1 ÷ sj)2]. Negative τ2 estimates were set to 0 (Field 2001).\nWe assessed publication bias, which is present when study results influence the chance or timing of publication (Begg and Berlin 1989), using a “funnel plot” of Wj versus Z̄j. In the absence of publication bias, plots usually resemble a symmetrical funnel, with the more precise estimates forming the spout and the less precise estimates forming the cone. We also evaluated the adjusted rank correlation (Begg and Mazumdar 1994) and regression asymmetry tests (Egger et al. 1997) as well as a nonparametric “trim-and-fill” method that imputes hypothetically missing results due to publication bias (Duval and Tweedie 2000). Low p-values associated with the former tests (pBegg, pEgger) give evidence of asymmetry.\nInterstudy heterogeneity was evaluated using a plot of Z̄j ÷ Sj versus 1 ÷ Sj (Galbraith 1988) and with Cochran’s Q-test (Cochran 1954). The plot and test are related in that the position of the jth study along the vertical axis illustrates its contribution to Q-test statistic. In the absence of appreciable evidence of heterogeneity, all studies fall within the 95% confidence interval (CI) and pCochran > 0.1.\nWe first assessed variation in the strength and precision of Z̄j across levels of the study, environment, and participant characteristics with a summary random-effects estimate of Z̄ within each study, environment, and participant category (Berkey et al. 1995). We also constructed a series of univariable random-effects meta-regression models to relate each study, environment, and participant characteristic to differences in -Z̄j. Lastly, a multivariable random-effects meta-regression model and a backward elimination strategy were used to evaluate 8 study, participant, and environment characteristics routinely available in epidemiologic studies of PM2.5 health effects: latitude, longitude, mean age, percent female, relative humidity, sea level pressure, mean temperature, and mean residential outdoor PM2.5 (measured in this setting or spatially interpolated in other studies). Interval-scale characteristics were analyzed before and after dichotomization at their medians unless noted otherwise. We used STATA (version 9; StataCorp LP, College Station, TX) to perform all the analyses. To facilitate interpretation, summary estimates (i.e., Z̄) were back-transformed to their original metric r̄ after data analysis.", "The systematic review identified 567 candidate studies for screening. Of these studies, nine (2%) met the criteria for critical appraisal and were abstracted (Brown et al. 2008; Liu et al. 2003; Reid 2003; Rodes et al. 2001; Rojas-Bracho et al. 2000; Suh et al. 2003; Wallace 1996; Williams et al. 2000a, 2000b, 2003a). Abstracted studies were published between 1996 and 2008 (Table 1), were set in eight cities in six U.S. states, and were conducted between 1989 and 2001. The median study duration was 1.9 months (range, 0.2–15.2 months), a period in which 70% of the studies collected PM2.5 data over consecutive days. During data collection, the investigators recorded a median of seven (range, 5–20) pairs of residential outdoor and personal PM2.5 concentrations per participant, on which the within-participant Pearson (63%) and Spearman (37%) correlation coefficients were based (Table 1).\nThe studies represented 329 nonsmoking participants 6–93 (median, 70) years old, 55% of whom were female and 25% of whom did not report chronic pulmonary or cardiovascular disease (Table 2). On average, residential outdoor PM2.5 concentrations (range, 8.6–42.6 μg/m3) were lower than personal PM2.5 concentrations (range, 9.3–70.0 μg/m3), with a median residential outdoor-personal PM2.5 difference of −1.55 μg/m3 (range, −27.4 to 9.0 μg/m3; Table 3). The estimated r̄j (median, 0.53; range, 0.25–0.79) and its standard deviation varied widely (Figure 1), the latter reflecting variability in sample weights (median, 53.6; range, 9.4–548.1). Temperature (range, 2.0–24.0°C) and relative humidity (range, 27.3–78.9%) were also variable.\nFigure 2, a funnel plot of Z̄j, shows little evidence of asymmetry. This was consistent with pBegg = 0.4, pEgger = 0.2, although the “trim-and-fill” analysis imputed seven hypothetically missing studies. Figure 3, a Galbraith plot in which three observations fell outside the 95% CIs, provides evidence of heterogeneity. This evidence was consistent with pCochran = 0.05.\nSeveral study, participant, and environmental characteristics were suggestively associated with moderate increases in the within-participant residential outdoor-personal PM2.5 correlation coefficient in univariate meta-regression models (Figure 4), including earlier study midpoints, eastern longitudes, older mean age, lower personal-residential outdoor PM2.5 differences (and ratios), and higher mean temperatures (Figure 5). For example, every 5°C increase in mean temperature was associated with a 0.10 95% CI, (−0.02, 0.21) unit difference in r̄. The direct association between mean temperature and r̄j also was apparent when evaluating mean temperature dichotomized at the median: In studies with a mean temperature ≥ 13.43°C, r̄ was 0.59 (range, 0.40–0.74), and in those with a mean temperature < 13.43°C, r̄ was 0.50 (range, 0.44–0.56).\nWhen evaluating multivariable meta-regression models, only higher mean ages and eastern longitudes were associated with an increased within-participant residential outdoor-personal PM2.5 correlation coefficient (p < 0.05).", "Epidemiologic studies of the health effects of PM2.5 typically estimate PM2.5 exposures using daily mean concentrations either obtained from a single ambient PM2.5 monitoring site or averaged across several sites (U.S. EPA 1996). Although rapid dispersion and secondary formation of atmospheric PM2.5 via chemical reactions of such gases as sulfur dioxide, nitrogen oxides, and ammonia ensure some geographic uniformity of the monitored concentrations, primary sources of anthropogenic PM2.5, including traffic, construction, and industry (Samet and Krewski 2007), can increase the spatial variability of PM2.5. Additional factors that influence the relationship between ambient PM2.5 concentrations and PM2.5 exposures include home ventilation, indoor activities associated with generation or resuspension of PM2.5 like cooking or cleaning, and time–activity patterns (Liu et al. 2003; Williams et al. 2000b). Thus, estimates of PM2.5 exposure based on ambient PM2.5 concentrations are associated with an acknowledged degree of uncertainty (Janssen et al. 1998).\nTo further characterize this uncertainty, in the present study we extended a prior meta-analysis of the within-participant ambient-personal PM2.5 correlation (Avery et al. 2010) by examining the within-participant residential outdoor-personal PM2.5 correlation using analogous meta-analytic methods. In both cases, the examination generated little evidence for publication bias of Fisher’s z-transformed r̄j but strong evidence of heterogeneity. Several study, participant, and environment characteristics were associated with an increased r̄j, including earlier study midpoints, eastern longitudes, lower personal-residential outdoor PM2.5 differences (and ratios), higher mean ages, and higher mean temperatures. Moreover, the direct association between eastern longitudes and increased r̄j was consistent with the prior meta-analysis of the within-participant ambient-personal PM2.5 correlation.\nThe direct association between eastern longitudes and increased r̄j may reflect several regional factors, including higher urban PM2.5 concentrations (Rom and Markowitz 2006) or a greater influence of secondary PM2.5 sources in eastern locales (Pinto et al. 2004). The inverse associations between the residential outdoor-personal PM2.5 difference (or ratio) and mean temperature with r̄j may also suggest lower microenvironmental variation in PM2.5 or an increased contribution of residential outdoor to personal PM2.5 exposure, through either time–activity patterns or increased air exchange. We were unable to fully evaluate the influence of these factors given the limited number of published studies and their inconsistent reporting of other geographic, household, and personal factors potentially responsible for the above associations. However, higher mean ages and eastern longitudes were associated with increased r̄j in the multivariable prediction model that included study, participant, and environment characteristics routinely available in epidemiologic studies of PM2.5 health effects.\nAlthough the meta-analyses of the ambient-personal and residential outdoor-personal PM2.5 correlations summarized a wide range of published correlation coefficients, both of them estimated a median r̄j of 0.5, which suggests that attempting to account for spatial variability and outdoor microenvironments does not appreciably affect the use of outdoor PM2.5 concentrations as proxies for personal PM2.5 exposure in the settings examined by the source studies. Nonetheless, these simple measures of central tendency have potentially important implications for studies using PM2.5 concentrations measured at distal or proximal monitoring sites. For example, an r̄ of 0.5 implies that, on average, only r̄2 or one-fourth of the variation in personal PM2.5 is explained by ambient or residential outdoor PM2.5 concentrations. Under a simple measurement error model, it also implies that the variances of ambient or residential outdoor PM2.5 concentrations are 1/r̄2, or four times as large as the variance of the true, but often unmeasured, personal PM2.5 exposure. Moreover, r̄ values of 0.5 in diseased and nondiseased subpopulations (i.e., nondifferential exposure measurement error) imply that a) sample sizes needed to detect between-group differences in mean ambient or residential outdoor PM2.5 concentrations are 1/r2, or 4-fold as large as those needed to detect the same differences in personal PM2.5 exposures, and b) effect estimates expressed as microgram per cubic meter increases in ambient or residential outdoor PM2.5 concentrations are equal to those associated with the same microgram per cubic meter increases in personal PM2.5 exposure, albeit attenuated toward the null by the power r2 or 0.25. The latter form of attenuation is capable of obscuring weak to modest health effects of PM2.5 (White et al. 2003), yet it cannot be adequately controlled by methods commonly used to account for confounding (Greenland and Robins 1985).\nGiven the above considerations, it is tempting to assume that all health effect estimates based on ambient or residential outdoor PM2.5 concentrations would be considerably larger if they were instead based on personal PM2.5 exposures, but to do so would yield more biased estimates if the original PM2.5–disease associations were spurious due to chance or confounding (Armstrong 1998). This justifies the application of the present findings to the PM2.5–disease associations that are the most precise and least biased according to criteria used to judge epidemiologic evidence (Hill 1965; Poole 2001; U.S. EPA 2009). Furthermore, factors associated with r̄, such as mean age and eastern longitudes, may differ among participants and the studies in which they are enrolled. It is therefore difficult to predict the degree to which PM2.5 health effects estimates may be biased by exposure measurement error. Nonetheless, the above examples clearly illustrate that the impact of r̄ on the interpretation of findings from studies of PM2.5 health effects may be substantial.\nAlthough in the present study we attempted to quantify the error associated with using residential outdoor and ambient PM2.5 concentrations as proxies for total personal exposure, the approach adopted here has several limitations. First, residential outdoor and ambient PM2.5 concentrations are likely to be poor proxies for exposure to nonambient PM because PM originating indoors has different compositions and biological properties (Long et al. 2001). Although the relative toxicity of outdoor and indoor PM remains under investigation, a panel study of 16 chronic obstructive pulmonary disease patients in Vancouver, British Columbia, reported that only the PM originating outdoors was associated with adverse cardiopulmonary effects (Ebelt et al. 2005). Moreover, in the present study we did not evaluate the correlation between concentrations of PM originating almost exclusively outdoors (e.g., sulfate or elemental carbon) and personal PM2.5 exposure, despite reports that their associations with ambient PM2.5 are particularly strong (Ebelt et al. 2000; Sarnat et al. 2006). Further work examining the relative contributions of PM2.5 constituents to PM-mediated health effects is clearly needed.\nIn summary, the results presented here and in the previous meta-analysis of the within-participant ambient-personal PM2.5 correlation (Avery et al. 2010) suggest that greater scrutiny of the effects of exposure measurement error is warranted. Further inquiry should involve quantifying the impact of using ambient or residential outdoor PM2.5 concentrations as proxies for personal PM2.5 exposure, as well as the development of methodologies to apply such findings. A comprehensive understanding of the degree to which these proxies influence PM2.5–disease associations is especially important in air pollution epidemiology because the health effects of PM2.5 exposure may be subtle. Such subclinical effects are particularly difficult to detect in the presence of measurement error because sensitivity of detection varies inversely with the degree of misclassification (Rom and Markowitz 2006)." ]
[ "methods", null, "methods", "results", "discussion" ]
[ "air pollution", "measurement error", "meta-analysis", "PM2.5" ]
Methods: Systematic review strategy We devised a search strategy to identify studies of the within-participant residential outdoor-personal PM2.5 correlation. No limitations on document type, language, or publication date were used. On 12 November 2007, we conducted searches in PubMed (http://www.ncbi.nlm.nih.gov/pubmed; 1950 to 12 November 2007), Web of Science (http://thomsonreuters.com/products_services/science/science_products/a-z/web_of_science; 1955 to 12 November 2007), BIOSIS Previews (http://www.thomsonscientific.com/cgi-bin/jrnlst/jloptions.cgi?PC=BP; 1969 to 12 November 2007), CSA Environmental Sciences and Pollution Management (http://www.csa.com/factsheets/envclust-set-c.php; 1967 to 12 November 2007), TOXLINE (http://toxnet.nlm.nih.gov/; 1965 to 12 November 2007), and Proquest Dissertations and Theses (http://www.proquest.com/en-US/catalogs/databases/detail/pqdt.shtml; 1861 to 12 November 2007). We searched EMBASE (http://www.embase.com/; 1974 to 12 November 2007), on 14 December 2007. The following strategy was used to search PubMed: (PM 2.5 OR PM2.5 OR PM25 OR PM 25 OR fine particle) AND (ambient OR outdoor OR outdoors OR outside OR exterior OR external OR background OR fixed site*) AND (individual OR personal) AND (correlat* OR associat* OR relat* OR compar* OR pearson OR spearman). The same four sets of key words were adapted for input into Web of Science, BIOSIS Previews, CSA Environmental Sciences and Pollution Management, TOXLINE, and EMBASE. The Dissertations and Theses search required only the first three sets of key words to create a result set small enough for review. We downloaded citations to an electronic reference manager (EndNote X1; Thomson Reuters, New York, NY), de-duplicated, and supplemented with secondary references cited in articles identified in the primary search. The citations were independently reviewed with respect to three inclusion criteria: measurement of residential outdoor PM2.5, measurement of personal PM2.5, and estimation of the within-participant residential outdoor-personal PM2.5 correlation. Study, participant, and environment characteristics were extracted from all articles meeting the inclusion criteria. The study characteristics were journal of publication, publication date, setting, study dates, sample size, duration of study, timing (consecutive, nonconsecutive), lower limit of PM2.5 detection, number (minimum, mean) of paired PM2.5 measures, and correlation metric (Pearson, Spearman). Participant characteristics included age (mean, minimum, maximum), percent female, and the presence of comorbidities (pulmonary, cardiovascular, multiple, neither). Environmental characteristics included the mean, median, and standard deviation of PM2.5 concentrations (residential outdoor, personal), the within-participant residential outdoor-personal PM2.5 correlation coefficients and corresponding number of paired measurements, season, distance to monitor, monitor type, air exchange rate, percentage of time using air conditioning, and percentage of time with windows open. Discrepant exclusions and extractions were adjudicated by consensus. Supplemental data were requested from authors by electronic mail as needed. City-specific longitudes and latitudes were obtained from the GEOnet Names Server (National Geospatial-Intelligence Agency 2009). Meteorologic data were obtained from the National Climatic Data Center (2009). We devised a search strategy to identify studies of the within-participant residential outdoor-personal PM2.5 correlation. No limitations on document type, language, or publication date were used. On 12 November 2007, we conducted searches in PubMed (http://www.ncbi.nlm.nih.gov/pubmed; 1950 to 12 November 2007), Web of Science (http://thomsonreuters.com/products_services/science/science_products/a-z/web_of_science; 1955 to 12 November 2007), BIOSIS Previews (http://www.thomsonscientific.com/cgi-bin/jrnlst/jloptions.cgi?PC=BP; 1969 to 12 November 2007), CSA Environmental Sciences and Pollution Management (http://www.csa.com/factsheets/envclust-set-c.php; 1967 to 12 November 2007), TOXLINE (http://toxnet.nlm.nih.gov/; 1965 to 12 November 2007), and Proquest Dissertations and Theses (http://www.proquest.com/en-US/catalogs/databases/detail/pqdt.shtml; 1861 to 12 November 2007). We searched EMBASE (http://www.embase.com/; 1974 to 12 November 2007), on 14 December 2007. The following strategy was used to search PubMed: (PM 2.5 OR PM2.5 OR PM25 OR PM 25 OR fine particle) AND (ambient OR outdoor OR outdoors OR outside OR exterior OR external OR background OR fixed site*) AND (individual OR personal) AND (correlat* OR associat* OR relat* OR compar* OR pearson OR spearman). The same four sets of key words were adapted for input into Web of Science, BIOSIS Previews, CSA Environmental Sciences and Pollution Management, TOXLINE, and EMBASE. The Dissertations and Theses search required only the first three sets of key words to create a result set small enough for review. We downloaded citations to an electronic reference manager (EndNote X1; Thomson Reuters, New York, NY), de-duplicated, and supplemented with secondary references cited in articles identified in the primary search. The citations were independently reviewed with respect to three inclusion criteria: measurement of residential outdoor PM2.5, measurement of personal PM2.5, and estimation of the within-participant residential outdoor-personal PM2.5 correlation. Study, participant, and environment characteristics were extracted from all articles meeting the inclusion criteria. The study characteristics were journal of publication, publication date, setting, study dates, sample size, duration of study, timing (consecutive, nonconsecutive), lower limit of PM2.5 detection, number (minimum, mean) of paired PM2.5 measures, and correlation metric (Pearson, Spearman). Participant characteristics included age (mean, minimum, maximum), percent female, and the presence of comorbidities (pulmonary, cardiovascular, multiple, neither). Environmental characteristics included the mean, median, and standard deviation of PM2.5 concentrations (residential outdoor, personal), the within-participant residential outdoor-personal PM2.5 correlation coefficients and corresponding number of paired measurements, season, distance to monitor, monitor type, air exchange rate, percentage of time using air conditioning, and percentage of time with windows open. Discrepant exclusions and extractions were adjudicated by consensus. Supplemental data were requested from authors by electronic mail as needed. City-specific longitudes and latitudes were obtained from the GEOnet Names Server (National Geospatial-Intelligence Agency 2009). Meteorologic data were obtained from the National Climatic Data Center (2009). Statistical analysis Summary correlation and variance estimates for the jth study were estimated from the personal ambient PM2.5 correlations measured for each of the ith participants. Each within-participant correlation coefficient (ri) was converted to its variance-stabilizing Fisher’s z-transform: Zri = (1 ÷ 2)loge[(1 + ri) ÷ (1 − ri)] (Fisher 1925). Estimates of the within-participant variance [vi = 1 ÷ (ni − 3)] and between-participant variance (τj2 = [Qj − (kj − 1)] ÷ c) for the jth study were estimated from the number of paired personal-residential outdoor PM2.5 measurements for each participant (ni), the number of participants per study (kj), the weighted sum of squared errors [Qj = ∑i=1k (ni − 3)(Zri − Zri)2], and a constant (c) = ∑ki=1(ni − 3) − [∑ki=1(ni − 3)2 ÷ ∑i=1k (ni − 3)]). The transformed effect size for the jth study is given by Z̄j = ∑i=1kwiZri ÷ ∑i=1kwi with participant-specific weights [wi = ([1 ÷ (ni − 3)] + τj2)−1], study-specific standard errors [Sj = (1 ÷ ∑i=1kwi)1/2], and study-specific weights [Wj = (1 ÷ sj)2]. Negative τ2 estimates were set to 0 (Field 2001). We assessed publication bias, which is present when study results influence the chance or timing of publication (Begg and Berlin 1989), using a “funnel plot” of Wj versus Z̄j. In the absence of publication bias, plots usually resemble a symmetrical funnel, with the more precise estimates forming the spout and the less precise estimates forming the cone. We also evaluated the adjusted rank correlation (Begg and Mazumdar 1994) and regression asymmetry tests (Egger et al. 1997) as well as a nonparametric “trim-and-fill” method that imputes hypothetically missing results due to publication bias (Duval and Tweedie 2000). Low p-values associated with the former tests (pBegg, pEgger) give evidence of asymmetry. Interstudy heterogeneity was evaluated using a plot of Z̄j ÷ Sj versus 1 ÷ Sj (Galbraith 1988) and with Cochran’s Q-test (Cochran 1954). The plot and test are related in that the position of the jth study along the vertical axis illustrates its contribution to Q-test statistic. In the absence of appreciable evidence of heterogeneity, all studies fall within the 95% confidence interval (CI) and pCochran > 0.1. We first assessed variation in the strength and precision of Z̄j across levels of the study, environment, and participant characteristics with a summary random-effects estimate of Z̄ within each study, environment, and participant category (Berkey et al. 1995). We also constructed a series of univariable random-effects meta-regression models to relate each study, environment, and participant characteristic to differences in -Z̄j. Lastly, a multivariable random-effects meta-regression model and a backward elimination strategy were used to evaluate 8 study, participant, and environment characteristics routinely available in epidemiologic studies of PM2.5 health effects: latitude, longitude, mean age, percent female, relative humidity, sea level pressure, mean temperature, and mean residential outdoor PM2.5 (measured in this setting or spatially interpolated in other studies). Interval-scale characteristics were analyzed before and after dichotomization at their medians unless noted otherwise. We used STATA (version 9; StataCorp LP, College Station, TX) to perform all the analyses. To facilitate interpretation, summary estimates (i.e., Z̄) were back-transformed to their original metric r̄ after data analysis. Summary correlation and variance estimates for the jth study were estimated from the personal ambient PM2.5 correlations measured for each of the ith participants. Each within-participant correlation coefficient (ri) was converted to its variance-stabilizing Fisher’s z-transform: Zri = (1 ÷ 2)loge[(1 + ri) ÷ (1 − ri)] (Fisher 1925). Estimates of the within-participant variance [vi = 1 ÷ (ni − 3)] and between-participant variance (τj2 = [Qj − (kj − 1)] ÷ c) for the jth study were estimated from the number of paired personal-residential outdoor PM2.5 measurements for each participant (ni), the number of participants per study (kj), the weighted sum of squared errors [Qj = ∑i=1k (ni − 3)(Zri − Zri)2], and a constant (c) = ∑ki=1(ni − 3) − [∑ki=1(ni − 3)2 ÷ ∑i=1k (ni − 3)]). The transformed effect size for the jth study is given by Z̄j = ∑i=1kwiZri ÷ ∑i=1kwi with participant-specific weights [wi = ([1 ÷ (ni − 3)] + τj2)−1], study-specific standard errors [Sj = (1 ÷ ∑i=1kwi)1/2], and study-specific weights [Wj = (1 ÷ sj)2]. Negative τ2 estimates were set to 0 (Field 2001). We assessed publication bias, which is present when study results influence the chance or timing of publication (Begg and Berlin 1989), using a “funnel plot” of Wj versus Z̄j. In the absence of publication bias, plots usually resemble a symmetrical funnel, with the more precise estimates forming the spout and the less precise estimates forming the cone. We also evaluated the adjusted rank correlation (Begg and Mazumdar 1994) and regression asymmetry tests (Egger et al. 1997) as well as a nonparametric “trim-and-fill” method that imputes hypothetically missing results due to publication bias (Duval and Tweedie 2000). Low p-values associated with the former tests (pBegg, pEgger) give evidence of asymmetry. Interstudy heterogeneity was evaluated using a plot of Z̄j ÷ Sj versus 1 ÷ Sj (Galbraith 1988) and with Cochran’s Q-test (Cochran 1954). The plot and test are related in that the position of the jth study along the vertical axis illustrates its contribution to Q-test statistic. In the absence of appreciable evidence of heterogeneity, all studies fall within the 95% confidence interval (CI) and pCochran > 0.1. We first assessed variation in the strength and precision of Z̄j across levels of the study, environment, and participant characteristics with a summary random-effects estimate of Z̄ within each study, environment, and participant category (Berkey et al. 1995). We also constructed a series of univariable random-effects meta-regression models to relate each study, environment, and participant characteristic to differences in -Z̄j. Lastly, a multivariable random-effects meta-regression model and a backward elimination strategy were used to evaluate 8 study, participant, and environment characteristics routinely available in epidemiologic studies of PM2.5 health effects: latitude, longitude, mean age, percent female, relative humidity, sea level pressure, mean temperature, and mean residential outdoor PM2.5 (measured in this setting or spatially interpolated in other studies). Interval-scale characteristics were analyzed before and after dichotomization at their medians unless noted otherwise. We used STATA (version 9; StataCorp LP, College Station, TX) to perform all the analyses. To facilitate interpretation, summary estimates (i.e., Z̄) were back-transformed to their original metric r̄ after data analysis. Systematic review strategy: We devised a search strategy to identify studies of the within-participant residential outdoor-personal PM2.5 correlation. No limitations on document type, language, or publication date were used. On 12 November 2007, we conducted searches in PubMed (http://www.ncbi.nlm.nih.gov/pubmed; 1950 to 12 November 2007), Web of Science (http://thomsonreuters.com/products_services/science/science_products/a-z/web_of_science; 1955 to 12 November 2007), BIOSIS Previews (http://www.thomsonscientific.com/cgi-bin/jrnlst/jloptions.cgi?PC=BP; 1969 to 12 November 2007), CSA Environmental Sciences and Pollution Management (http://www.csa.com/factsheets/envclust-set-c.php; 1967 to 12 November 2007), TOXLINE (http://toxnet.nlm.nih.gov/; 1965 to 12 November 2007), and Proquest Dissertations and Theses (http://www.proquest.com/en-US/catalogs/databases/detail/pqdt.shtml; 1861 to 12 November 2007). We searched EMBASE (http://www.embase.com/; 1974 to 12 November 2007), on 14 December 2007. The following strategy was used to search PubMed: (PM 2.5 OR PM2.5 OR PM25 OR PM 25 OR fine particle) AND (ambient OR outdoor OR outdoors OR outside OR exterior OR external OR background OR fixed site*) AND (individual OR personal) AND (correlat* OR associat* OR relat* OR compar* OR pearson OR spearman). The same four sets of key words were adapted for input into Web of Science, BIOSIS Previews, CSA Environmental Sciences and Pollution Management, TOXLINE, and EMBASE. The Dissertations and Theses search required only the first three sets of key words to create a result set small enough for review. We downloaded citations to an electronic reference manager (EndNote X1; Thomson Reuters, New York, NY), de-duplicated, and supplemented with secondary references cited in articles identified in the primary search. The citations were independently reviewed with respect to three inclusion criteria: measurement of residential outdoor PM2.5, measurement of personal PM2.5, and estimation of the within-participant residential outdoor-personal PM2.5 correlation. Study, participant, and environment characteristics were extracted from all articles meeting the inclusion criteria. The study characteristics were journal of publication, publication date, setting, study dates, sample size, duration of study, timing (consecutive, nonconsecutive), lower limit of PM2.5 detection, number (minimum, mean) of paired PM2.5 measures, and correlation metric (Pearson, Spearman). Participant characteristics included age (mean, minimum, maximum), percent female, and the presence of comorbidities (pulmonary, cardiovascular, multiple, neither). Environmental characteristics included the mean, median, and standard deviation of PM2.5 concentrations (residential outdoor, personal), the within-participant residential outdoor-personal PM2.5 correlation coefficients and corresponding number of paired measurements, season, distance to monitor, monitor type, air exchange rate, percentage of time using air conditioning, and percentage of time with windows open. Discrepant exclusions and extractions were adjudicated by consensus. Supplemental data were requested from authors by electronic mail as needed. City-specific longitudes and latitudes were obtained from the GEOnet Names Server (National Geospatial-Intelligence Agency 2009). Meteorologic data were obtained from the National Climatic Data Center (2009). Statistical analysis: Summary correlation and variance estimates for the jth study were estimated from the personal ambient PM2.5 correlations measured for each of the ith participants. Each within-participant correlation coefficient (ri) was converted to its variance-stabilizing Fisher’s z-transform: Zri = (1 ÷ 2)loge[(1 + ri) ÷ (1 − ri)] (Fisher 1925). Estimates of the within-participant variance [vi = 1 ÷ (ni − 3)] and between-participant variance (τj2 = [Qj − (kj − 1)] ÷ c) for the jth study were estimated from the number of paired personal-residential outdoor PM2.5 measurements for each participant (ni), the number of participants per study (kj), the weighted sum of squared errors [Qj = ∑i=1k (ni − 3)(Zri − Zri)2], and a constant (c) = ∑ki=1(ni − 3) − [∑ki=1(ni − 3)2 ÷ ∑i=1k (ni − 3)]). The transformed effect size for the jth study is given by Z̄j = ∑i=1kwiZri ÷ ∑i=1kwi with participant-specific weights [wi = ([1 ÷ (ni − 3)] + τj2)−1], study-specific standard errors [Sj = (1 ÷ ∑i=1kwi)1/2], and study-specific weights [Wj = (1 ÷ sj)2]. Negative τ2 estimates were set to 0 (Field 2001). We assessed publication bias, which is present when study results influence the chance or timing of publication (Begg and Berlin 1989), using a “funnel plot” of Wj versus Z̄j. In the absence of publication bias, plots usually resemble a symmetrical funnel, with the more precise estimates forming the spout and the less precise estimates forming the cone. We also evaluated the adjusted rank correlation (Begg and Mazumdar 1994) and regression asymmetry tests (Egger et al. 1997) as well as a nonparametric “trim-and-fill” method that imputes hypothetically missing results due to publication bias (Duval and Tweedie 2000). Low p-values associated with the former tests (pBegg, pEgger) give evidence of asymmetry. Interstudy heterogeneity was evaluated using a plot of Z̄j ÷ Sj versus 1 ÷ Sj (Galbraith 1988) and with Cochran’s Q-test (Cochran 1954). The plot and test are related in that the position of the jth study along the vertical axis illustrates its contribution to Q-test statistic. In the absence of appreciable evidence of heterogeneity, all studies fall within the 95% confidence interval (CI) and pCochran > 0.1. We first assessed variation in the strength and precision of Z̄j across levels of the study, environment, and participant characteristics with a summary random-effects estimate of Z̄ within each study, environment, and participant category (Berkey et al. 1995). We also constructed a series of univariable random-effects meta-regression models to relate each study, environment, and participant characteristic to differences in -Z̄j. Lastly, a multivariable random-effects meta-regression model and a backward elimination strategy were used to evaluate 8 study, participant, and environment characteristics routinely available in epidemiologic studies of PM2.5 health effects: latitude, longitude, mean age, percent female, relative humidity, sea level pressure, mean temperature, and mean residential outdoor PM2.5 (measured in this setting or spatially interpolated in other studies). Interval-scale characteristics were analyzed before and after dichotomization at their medians unless noted otherwise. We used STATA (version 9; StataCorp LP, College Station, TX) to perform all the analyses. To facilitate interpretation, summary estimates (i.e., Z̄) were back-transformed to their original metric r̄ after data analysis. Results: The systematic review identified 567 candidate studies for screening. Of these studies, nine (2%) met the criteria for critical appraisal and were abstracted (Brown et al. 2008; Liu et al. 2003; Reid 2003; Rodes et al. 2001; Rojas-Bracho et al. 2000; Suh et al. 2003; Wallace 1996; Williams et al. 2000a, 2000b, 2003a). Abstracted studies were published between 1996 and 2008 (Table 1), were set in eight cities in six U.S. states, and were conducted between 1989 and 2001. The median study duration was 1.9 months (range, 0.2–15.2 months), a period in which 70% of the studies collected PM2.5 data over consecutive days. During data collection, the investigators recorded a median of seven (range, 5–20) pairs of residential outdoor and personal PM2.5 concentrations per participant, on which the within-participant Pearson (63%) and Spearman (37%) correlation coefficients were based (Table 1). The studies represented 329 nonsmoking participants 6–93 (median, 70) years old, 55% of whom were female and 25% of whom did not report chronic pulmonary or cardiovascular disease (Table 2). On average, residential outdoor PM2.5 concentrations (range, 8.6–42.6 μg/m3) were lower than personal PM2.5 concentrations (range, 9.3–70.0 μg/m3), with a median residential outdoor-personal PM2.5 difference of −1.55 μg/m3 (range, −27.4 to 9.0 μg/m3; Table 3). The estimated r̄j (median, 0.53; range, 0.25–0.79) and its standard deviation varied widely (Figure 1), the latter reflecting variability in sample weights (median, 53.6; range, 9.4–548.1). Temperature (range, 2.0–24.0°C) and relative humidity (range, 27.3–78.9%) were also variable. Figure 2, a funnel plot of Z̄j, shows little evidence of asymmetry. This was consistent with pBegg = 0.4, pEgger = 0.2, although the “trim-and-fill” analysis imputed seven hypothetically missing studies. Figure 3, a Galbraith plot in which three observations fell outside the 95% CIs, provides evidence of heterogeneity. This evidence was consistent with pCochran = 0.05. Several study, participant, and environmental characteristics were suggestively associated with moderate increases in the within-participant residential outdoor-personal PM2.5 correlation coefficient in univariate meta-regression models (Figure 4), including earlier study midpoints, eastern longitudes, older mean age, lower personal-residential outdoor PM2.5 differences (and ratios), and higher mean temperatures (Figure 5). For example, every 5°C increase in mean temperature was associated with a 0.10 95% CI, (−0.02, 0.21) unit difference in r̄. The direct association between mean temperature and r̄j also was apparent when evaluating mean temperature dichotomized at the median: In studies with a mean temperature ≥ 13.43°C, r̄ was 0.59 (range, 0.40–0.74), and in those with a mean temperature < 13.43°C, r̄ was 0.50 (range, 0.44–0.56). When evaluating multivariable meta-regression models, only higher mean ages and eastern longitudes were associated with an increased within-participant residential outdoor-personal PM2.5 correlation coefficient (p < 0.05). Discussion: Epidemiologic studies of the health effects of PM2.5 typically estimate PM2.5 exposures using daily mean concentrations either obtained from a single ambient PM2.5 monitoring site or averaged across several sites (U.S. EPA 1996). Although rapid dispersion and secondary formation of atmospheric PM2.5 via chemical reactions of such gases as sulfur dioxide, nitrogen oxides, and ammonia ensure some geographic uniformity of the monitored concentrations, primary sources of anthropogenic PM2.5, including traffic, construction, and industry (Samet and Krewski 2007), can increase the spatial variability of PM2.5. Additional factors that influence the relationship between ambient PM2.5 concentrations and PM2.5 exposures include home ventilation, indoor activities associated with generation or resuspension of PM2.5 like cooking or cleaning, and time–activity patterns (Liu et al. 2003; Williams et al. 2000b). Thus, estimates of PM2.5 exposure based on ambient PM2.5 concentrations are associated with an acknowledged degree of uncertainty (Janssen et al. 1998). To further characterize this uncertainty, in the present study we extended a prior meta-analysis of the within-participant ambient-personal PM2.5 correlation (Avery et al. 2010) by examining the within-participant residential outdoor-personal PM2.5 correlation using analogous meta-analytic methods. In both cases, the examination generated little evidence for publication bias of Fisher’s z-transformed r̄j but strong evidence of heterogeneity. Several study, participant, and environment characteristics were associated with an increased r̄j, including earlier study midpoints, eastern longitudes, lower personal-residential outdoor PM2.5 differences (and ratios), higher mean ages, and higher mean temperatures. Moreover, the direct association between eastern longitudes and increased r̄j was consistent with the prior meta-analysis of the within-participant ambient-personal PM2.5 correlation. The direct association between eastern longitudes and increased r̄j may reflect several regional factors, including higher urban PM2.5 concentrations (Rom and Markowitz 2006) or a greater influence of secondary PM2.5 sources in eastern locales (Pinto et al. 2004). The inverse associations between the residential outdoor-personal PM2.5 difference (or ratio) and mean temperature with r̄j may also suggest lower microenvironmental variation in PM2.5 or an increased contribution of residential outdoor to personal PM2.5 exposure, through either time–activity patterns or increased air exchange. We were unable to fully evaluate the influence of these factors given the limited number of published studies and their inconsistent reporting of other geographic, household, and personal factors potentially responsible for the above associations. However, higher mean ages and eastern longitudes were associated with increased r̄j in the multivariable prediction model that included study, participant, and environment characteristics routinely available in epidemiologic studies of PM2.5 health effects. Although the meta-analyses of the ambient-personal and residential outdoor-personal PM2.5 correlations summarized a wide range of published correlation coefficients, both of them estimated a median r̄j of 0.5, which suggests that attempting to account for spatial variability and outdoor microenvironments does not appreciably affect the use of outdoor PM2.5 concentrations as proxies for personal PM2.5 exposure in the settings examined by the source studies. Nonetheless, these simple measures of central tendency have potentially important implications for studies using PM2.5 concentrations measured at distal or proximal monitoring sites. For example, an r̄ of 0.5 implies that, on average, only r̄2 or one-fourth of the variation in personal PM2.5 is explained by ambient or residential outdoor PM2.5 concentrations. Under a simple measurement error model, it also implies that the variances of ambient or residential outdoor PM2.5 concentrations are 1/r̄2, or four times as large as the variance of the true, but often unmeasured, personal PM2.5 exposure. Moreover, r̄ values of 0.5 in diseased and nondiseased subpopulations (i.e., nondifferential exposure measurement error) imply that a) sample sizes needed to detect between-group differences in mean ambient or residential outdoor PM2.5 concentrations are 1/r2, or 4-fold as large as those needed to detect the same differences in personal PM2.5 exposures, and b) effect estimates expressed as microgram per cubic meter increases in ambient or residential outdoor PM2.5 concentrations are equal to those associated with the same microgram per cubic meter increases in personal PM2.5 exposure, albeit attenuated toward the null by the power r2 or 0.25. The latter form of attenuation is capable of obscuring weak to modest health effects of PM2.5 (White et al. 2003), yet it cannot be adequately controlled by methods commonly used to account for confounding (Greenland and Robins 1985). Given the above considerations, it is tempting to assume that all health effect estimates based on ambient or residential outdoor PM2.5 concentrations would be considerably larger if they were instead based on personal PM2.5 exposures, but to do so would yield more biased estimates if the original PM2.5–disease associations were spurious due to chance or confounding (Armstrong 1998). This justifies the application of the present findings to the PM2.5–disease associations that are the most precise and least biased according to criteria used to judge epidemiologic evidence (Hill 1965; Poole 2001; U.S. EPA 2009). Furthermore, factors associated with r̄, such as mean age and eastern longitudes, may differ among participants and the studies in which they are enrolled. It is therefore difficult to predict the degree to which PM2.5 health effects estimates may be biased by exposure measurement error. Nonetheless, the above examples clearly illustrate that the impact of r̄ on the interpretation of findings from studies of PM2.5 health effects may be substantial. Although in the present study we attempted to quantify the error associated with using residential outdoor and ambient PM2.5 concentrations as proxies for total personal exposure, the approach adopted here has several limitations. First, residential outdoor and ambient PM2.5 concentrations are likely to be poor proxies for exposure to nonambient PM because PM originating indoors has different compositions and biological properties (Long et al. 2001). Although the relative toxicity of outdoor and indoor PM remains under investigation, a panel study of 16 chronic obstructive pulmonary disease patients in Vancouver, British Columbia, reported that only the PM originating outdoors was associated with adverse cardiopulmonary effects (Ebelt et al. 2005). Moreover, in the present study we did not evaluate the correlation between concentrations of PM originating almost exclusively outdoors (e.g., sulfate or elemental carbon) and personal PM2.5 exposure, despite reports that their associations with ambient PM2.5 are particularly strong (Ebelt et al. 2000; Sarnat et al. 2006). Further work examining the relative contributions of PM2.5 constituents to PM-mediated health effects is clearly needed. In summary, the results presented here and in the previous meta-analysis of the within-participant ambient-personal PM2.5 correlation (Avery et al. 2010) suggest that greater scrutiny of the effects of exposure measurement error is warranted. Further inquiry should involve quantifying the impact of using ambient or residential outdoor PM2.5 concentrations as proxies for personal PM2.5 exposure, as well as the development of methodologies to apply such findings. A comprehensive understanding of the degree to which these proxies influence PM2.5–disease associations is especially important in air pollution epidemiology because the health effects of PM2.5 exposure may be subtle. Such subclinical effects are particularly difficult to detect in the presence of measurement error because sensitivity of detection varies inversely with the degree of misclassification (Rom and Markowitz 2006).
Background: Studies examining the health effects of particulate matter <or= 2.5 microm in aerodynamic diameter (PM2.5) commonly use ambient PM2.5 concentrations measured at distal monitoring sites as proxies for personal exposure and assume spatial homogeneity of ambient PM2.5. An alternative proxy-the residential outdoor PM2.5 concentration measured adjacent to participant homes-has few advantages under this assumption. Methods: We searched seven electronic reference databases for studies of the within-participant residential outdoor-personal PM2.5 correlation. Results: The search identified 567 candidate studies, nine of which were abstracted in duplicate, that were published between 1996 and 2008. They represented 329 nonsmoking participants 6-93 years of age in eight U.S. cities, among whom -rj was estimated (median, 0.53; range, 0.25-0.79) based on a median of seven residential outdoor-personal PM2.5 pairs per participant. We found modest evidence of publication bias (symmetric funnel plot; pBegg = 0.4; pEgger = 0.2); however, we identified evidence of heterogeneity (Cochran's Q-test p = 0.05). Of the 20 characteristics examined, earlier study midpoints, eastern longitudes, older mean age, higher outdoor temperatures, and lower personal-residential outdoor PM2.5 differences were associated with increased within-participant residential outdoor-personal PM2.5 correlations. Conclusions: These findings were similar to those from a contemporaneous meta-analysis that examined ambient-personal PM2.5 correlations (rj = median, 0.54; range, 0.09-0.83). Collectively, the meta-analyses suggest that residential outdoor-personal and ambient-personal PM2.5 correlations merit greater consideration when evaluating the potential for bias in studies of PM2.5-mediated health effects.
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319
[ 2551, 567 ]
5
[ "pm2", "study", "participant", "personal", "outdoor", "residential", "residential outdoor", "mean", "personal pm2", "correlation" ]
[ "environmental sciences", "pm2 concentrations residential", "pollution epidemiology", "environmental characteristics suggestively", "meta analyses ambient" ]
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[CONTENT] air pollution | measurement error | meta-analysis | PM2.5 [SUMMARY]
[CONTENT] air pollution | measurement error | meta-analysis | PM2.5 [SUMMARY]
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[CONTENT] air pollution | measurement error | meta-analysis | PM2.5 [SUMMARY]
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[CONTENT] Adolescent | Adult | Aged | Aged, 80 and over | Child | Environmental Health | Environmental Monitoring | Female | Humans | Inhalation Exposure | Male | Middle Aged | Particulate Matter | United States | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Aged | Aged, 80 and over | Child | Environmental Health | Environmental Monitoring | Female | Humans | Inhalation Exposure | Male | Middle Aged | Particulate Matter | United States | Young Adult [SUMMARY]
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[CONTENT] Adolescent | Adult | Aged | Aged, 80 and over | Child | Environmental Health | Environmental Monitoring | Female | Humans | Inhalation Exposure | Male | Middle Aged | Particulate Matter | United States | Young Adult [SUMMARY]
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[CONTENT] environmental sciences | pm2 concentrations residential | pollution epidemiology | environmental characteristics suggestively | meta analyses ambient [SUMMARY]
[CONTENT] environmental sciences | pm2 concentrations residential | pollution epidemiology | environmental characteristics suggestively | meta analyses ambient [SUMMARY]
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[CONTENT] environmental sciences | pm2 concentrations residential | pollution epidemiology | environmental characteristics suggestively | meta analyses ambient [SUMMARY]
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[CONTENT] pm2 | study | participant | personal | outdoor | residential | residential outdoor | mean | personal pm2 | correlation [SUMMARY]
[CONTENT] pm2 | study | participant | personal | outdoor | residential | residential outdoor | mean | personal pm2 | correlation [SUMMARY]
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[CONTENT] pm2 | study | participant | personal | outdoor | residential | residential outdoor | mean | personal pm2 | correlation [SUMMARY]
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[CONTENT] study | ni | participant | estimates | sj | jth study | jth | variance | effects | ri [SUMMARY]
[CONTENT] range | figure | μg m3 | m3 | table | μg | median | mean | pm2 | temperature [SUMMARY]
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[CONTENT] pm2 | study | participant | personal | outdoor | residential | residential outdoor | 12 november | 12 november 2007 | november [SUMMARY]
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[CONTENT] seven [SUMMARY]
[CONTENT] 567 | nine | between 1996 and 2008 ||| 329 | 6-93 years of age | eight | U.S. | 0.53 | 0.25 | seven ||| pBegg = | 0.4 | pEgger | 0.2 | Cochran | 0.05 ||| 20 [SUMMARY]
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[CONTENT] 2.5 ||| ||| seven ||| ||| 567 | nine | between 1996 and 2008 ||| 329 | 6-93 years of age | eight | U.S. | 0.53 | 0.25 | seven ||| pBegg = | 0.4 | pEgger | 0.2 | Cochran | 0.05 ||| 20 ||| 0.54 | 0.09-0.83 ||| [SUMMARY]
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Development and clinical evaluation of a dried urine spot method for detection of morphine among opioid users.
31031466
In recent years, drug testing in body fluids has gained popularity for validating self-reported drug use. The storage and transportation of urine specimens is a major concern for remote areas where the facilities for performing drug abuse testing are lacking.
BACKGROUND
The methodology involved optimization of conditions for extraction, recovery, short-, and long-term stability (room temperature, 4°C,-20°C) for detection of opiate from dried urine spots. Further, the extraction efficiency from dried urine spots was compared with the conventional drug testing methodology. The screening was done by using enzyme-linked immunosorbent assay technique, and confirmation was achieved by gas chromatography equipped with nitrogen phosphorus detector.
MATERIALS AND METHODS
Deionized water was found to be a suitable extracting solvent compare to bi-carbonate buffer (pH 9.2) and saline. Primary screening was achieved by 2 punches taken from a 20-μl (diameter 1.3 cm) spotted urine samples, whereas confirmation was achieved by 2 complete circles each of 20 μl sample volume. The recovery was found to be 99.41% in water. No sign of significant degradation was seen among all storage conditions.
RESULTS
In the current study, DUS has achieved the same level of precision and reproducibility as that of standard methods used for drug testing in urine. Hence, the DUS sampling appears to have potential to detect opiate among drug users in a clinical setting.
CONCLUSIONS
[ "Adult", "Analgesics, Opioid", "Humans", "Male", "Morphine", "Opioid-Related Disorders", "Reproducibility of Results", "Substance Abuse Detection", "Urinalysis" ]
6444835
Introduction
Opioids top the list of “problem” drugs worldwide.[1] The use of illicit opioids like heroin along with nonmedical use of prescription opioids is a rising public health concern. This leads to increased healthcare services and deaths due to drug overdose. Among injecting drug users (IDUs), the use of opioids, especially heroin is emerging. There are an estimated 15.9 million IDUs globally. In India, the number of IDUs is around 1.77 million.[2] Notably, almost all the IDUs in India use opioid drugs and are mostly opioid dependent.[3] Laboratory screening of substance use, especially opioids to monitor drug use is an important component of addiction treatment settings. It provides an unbiased, reproducible, and accurate method to monitor patients and offers objective support for clinical considerations. Urine is often preferred over other biological specimen, as it is readily collectible and has higher levels of drugs and metabolites in comparison to serum/blood or saliva. Drug abuse testing in patients belonging to remote areas is considered to be fraught with many logistic problems. In addition, to minimize variations, it is always advisable for the analysis to be carried out in one centralized laboratory. Transportation to a distant laboratory often involves challenges such as requirement of trained staff, sample spillage, breakage, cross contamination, and shipment in lower temperatures. Use of dry biological specimen such as dried blood spot (DBS) or dried urine spot (DUS) is becoming popular recently, as it offers some interesting advantages over liquid samples for screening/diagnosis.[456789101112] First, it requires a less invasive sampling method. Second, DUS provides stability even at ambient temperature. It also offers easy storage and transportation with no need for freezers or dry ice in most applications. Concerning morphine and drugs of abuse, there is a paucity of literature regarding use of dried urine spots for screening. Some recent reports are available on using dried urine spots method for morphine screening.[131415] However, no study has reported the use of dried urine spots in an addiction treatment setting and clinical validation for morphine screening till date. The objective of the present study was to develop a simple and cost-effective method for direct screening of morphine using urine spotted onto a filter paper and evaluating its clinical applicability.
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Results
Optimization of DUS extraction The extraction of morphine was carried out using three extracting solvents for different time periods. The recovery of morphine was found to be maximum (99.4%) using two punches (3.2 mm each) in 500 μL of deionized water, kept at 37°C in a water bath shaker for a period of 24 h [Figure 1]. Recovery curve of morphine Limit of detection (LOD) for the method was found to be 100 ng/ml. The interday CV and intraday CV results are shown in Table 1. Interday and intraday coefficient of variation results CV=Coefficient of variation The extraction of morphine was carried out using three extracting solvents for different time periods. The recovery of morphine was found to be maximum (99.4%) using two punches (3.2 mm each) in 500 μL of deionized water, kept at 37°C in a water bath shaker for a period of 24 h [Figure 1]. Recovery curve of morphine Limit of detection (LOD) for the method was found to be 100 ng/ml. The interday CV and intraday CV results are shown in Table 1. Interday and intraday coefficient of variation results CV=Coefficient of variation Clinical validation Urine samples were collected from 50 patients with opioid use disorders as per the inclusion criteria. All the patients were males with the mean age of 35.2 ± 9.67 years. Twenty-six percentage of the patients were unmarried (n = 13) while 74% were married (n = 37). Majority of the patients were employed (86%, n = 43) and only 14% were unemployed (n = 7). The education status was reported as illiterate 5 (10%), just literate 13 (26%), primary 10 (20%), high school 12 (24%), higher secondary 2 (4%), graduate 5 (10%), and postgraduate 3 (6%). All the 50 samples were found to be positive for morphine in direct urine as well as filter paper-spotted urine samples by ELISA technique. Representative gas-liquid chromatography (GLC) chromatogram of morphine-spiked control urine with a retention time of 12.89 min is shown in Figure 2. Gas-liquid chromatography chromatogram of standard morphine-spiked control urine Figure 3 shows the GLC chromatogram of a patient's urine sample by filter paper method with retention time of 12.89 min. Gas-liquid chromatography chromatogram of a patient's urine sample by filter paper method The results showed 100% concordance between filter paper-extracted urine specimens and direct urine specimens in patients' sample using GC technique. Urine samples were collected from 50 patients with opioid use disorders as per the inclusion criteria. All the patients were males with the mean age of 35.2 ± 9.67 years. Twenty-six percentage of the patients were unmarried (n = 13) while 74% were married (n = 37). Majority of the patients were employed (86%, n = 43) and only 14% were unemployed (n = 7). The education status was reported as illiterate 5 (10%), just literate 13 (26%), primary 10 (20%), high school 12 (24%), higher secondary 2 (4%), graduate 5 (10%), and postgraduate 3 (6%). All the 50 samples were found to be positive for morphine in direct urine as well as filter paper-spotted urine samples by ELISA technique. Representative gas-liquid chromatography (GLC) chromatogram of morphine-spiked control urine with a retention time of 12.89 min is shown in Figure 2. Gas-liquid chromatography chromatogram of standard morphine-spiked control urine Figure 3 shows the GLC chromatogram of a patient's urine sample by filter paper method with retention time of 12.89 min. Gas-liquid chromatography chromatogram of a patient's urine sample by filter paper method The results showed 100% concordance between filter paper-extracted urine specimens and direct urine specimens in patients' sample using GC technique. Stability Morphine was found to be stable in DUS samples stored at room temperatures, −20°C and 4°C [Figure 4]. The concentration of morphine depicted in figure corresponds to 20 μl of urine spot extracted and estimated as per the optimized conditions. The stored spotted filter paper showed no degradation at the end of 3 months. Stability of morphine using DUS method Morphine was found to be stable in DUS samples stored at room temperatures, −20°C and 4°C [Figure 4]. The concentration of morphine depicted in figure corresponds to 20 μl of urine spot extracted and estimated as per the optimized conditions. The stored spotted filter paper showed no degradation at the end of 3 months. Stability of morphine using DUS method
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[ "Chemicals", "Instrumentation and gas chromatography conditions", "Sample collection", "DUS preparation", "Extraction and detection of morphine from DUS", "Method validation", "Clinical validation", "Stability", "Optimization of DUS extraction", "Clinical validation", "Stability", "Financial support and sponsorship" ]
[ "All the reagents used were of analytical grade and were obtained from Merck, USA. Morphine standard was obtained morphine injection IP 15 mg/ml, Troikaa Pharmaceuticals Ltd, Gujarat, India. Whatman Filter paper 903 was obtained from GE Health Care, India.", "Screening was performed by enzyme-linked immunosorbent assay (ELISA) technique (Tecan GENios ELISA reader, Austria GmbH, Austria) using Megellan Software V1.30 (Tecan Austria, Austria).\nFurther confirmation of the samples was done using gas chromatograph (model 7890A, Agilent India Pvt. Ltd, USA). The gas chromatography (GC) was equipped with 7683B series Auto Sampler (split/split-less inlet, fused silica capillary column coated with HP-5 cross-linked 5% diphenyl, and 95% dimethylpolysiloxane (30 m × 0.320 i.d., 0.5 μm film thickness). The temperature gradient used was 1 min at 170°C, 10°C/min from 170°C to 270°C, and 5 min at 270°C. Nitrogen was used as a carrier gas at a flow rate of 10 ml/min. The injector temperature was 280°C. The injection volume was 2 μl for each GC run, and the split ratio was kept 1:10. The nitrogen phosphorus detector (NPD) was used with electronic pneumatic control at 300°C. System control, data acquisition, and analysis were performed with GC Chem Station G2075BA software.", "The study was conducted at a tertiary-care addiction treatment setting of North India. The inclusion criteria included male patients fulfilling International Classification of Diseases-10 criteria[16] for harmful or dependent opioid use, recent use, within last 48 h, and willing to participate in the study. The patients who reported use of drugs other than opioid and presence of any other psychiatric illness were excluded from the study. Patient informed consent was obtained from all participants who fulfilled the inclusion criteria. After inclusion, 30 ml of urine samples were collected from each patient. Drug-free urine samples (controls) were obtained from laboratory staff volunteers. The urine samples were screened by cassette test for opiates, benzodiazepines, cannabis, and nicotine use. The study was carried out in accordance with Declaration of Helsinki, and the study protocol was approved by the institutional ethics committee. The study was completed in 1-year duration (March 2012–2013).", "Control urine samples with zero baseline drug level were spiked with various concentrations (100, 50, 10, and 1 μg/ml) of standard morphine. Twenty ul of morphine standards spiked in control urine sample and patient's samples were spotted onto filter paper kept on a nonabsorbent surface. The spotted samples were then allowed to dry overnight at ambient temperature.", "Optimal conditions were worked out to check the maximum recovery using three different eluting solvents at different temperature (room temperature and 37°C) and time conditions (4, 24, 48, 72, and 96 h). Briefly, DUS with spiked morphine standards was punched manually using a manual puncher of diameter 3.2 mm. Three different solvents, i.e., deionized water, sodium carbonate-bicarbonate buffer (pH 9.2), and saline were tried for morphine extraction from DUS. The detection of morphine was checked with ELISA kits (Calbiotech Pvt limited, USA) onto ELISA reader as per manufacturer's guidelines. The results were given as positive or negative based on the cutoff (100 ng/ml) of ELISA kit being used.\nConfirmation of the urine and dried urine spots (DUS) were carried out as per the previously developed laboratory method by extraction and derivatization before injecting to gas chromatograph.[17]", "Percent recovery was calculated based on comparison between the standard and the extracted morphine from DUS using the following formula:\n\n\n\nWhere, Xe = Mean concentration obtained from extracted standard using DUS method, and Xs = mean concentration obtained from direct standard.\nFor interday precision, the standards were run in triplicate for three consecutive days, and for intraday precision, the standards were repeated three times in triplicate within the same day. Both are expressed as standard deviation and coefficient of variation (% CV).", "The use of filter paper to screen drug use in a clinical setting was checked by collecting urine samples from opioid using patients as per the inclusion criteria. Twenty microliters of the urine samples from each patient were spotted onto filter paper and dried. The filter paper spotted urine samples (DUS), and corresponding urine samples were analyzed for morphine as per the standardized conditions.", "The stability of DUS was tested by spotting the morphine spiked urine samples (1 ug/ml, 500 ng/ml) and patient's urine samples on filter paper, which were kept in sealed plastic bags with desiccants until analysis. These sealed plastic bags were stored at three different temperatures (−20°C, 4°C, and room temperature [21°C–28°C]). Estimation was carried out at different points of time, i.e., within 24 h after collection and weekly for 1st 4 weeks and then consecutive weeks till 3 months.", "The extraction of morphine was carried out using three extracting solvents for different time periods. The recovery of morphine was found to be maximum (99.4%) using two punches (3.2 mm each) in 500 μL of deionized water, kept at 37°C in a water bath shaker for a period of 24 h [Figure 1].\nRecovery curve of morphine\nLimit of detection (LOD) for the method was found to be 100 ng/ml. The interday CV and intraday CV results are shown in Table 1.\nInterday and intraday coefficient of variation results\nCV=Coefficient of variation", "Urine samples were collected from 50 patients with opioid use disorders as per the inclusion criteria. All the patients were males with the mean age of 35.2 ± 9.67 years. Twenty-six percentage of the patients were unmarried (n = 13) while 74% were married (n = 37). Majority of the patients were employed (86%, n = 43) and only 14% were unemployed (n = 7). The education status was reported as illiterate 5 (10%), just literate 13 (26%), primary 10 (20%), high school 12 (24%), higher secondary 2 (4%), graduate 5 (10%), and postgraduate 3 (6%).\nAll the 50 samples were found to be positive for morphine in direct urine as well as filter paper-spotted urine samples by ELISA technique. Representative gas-liquid chromatography (GLC) chromatogram of morphine-spiked control urine with a retention time of 12.89 min is shown in Figure 2.\nGas-liquid chromatography chromatogram of standard morphine-spiked control urine\nFigure 3 shows the GLC chromatogram of a patient's urine sample by filter paper method with retention time of 12.89 min.\nGas-liquid chromatography chromatogram of a patient's urine sample by filter paper method\nThe results showed 100% concordance between filter paper-extracted urine specimens and direct urine specimens in patients' sample using GC technique.", "Morphine was found to be stable in DUS samples stored at room temperatures, −20°C and 4°C [Figure 4]. The concentration of morphine depicted in figure corresponds to 20 μl of urine spot extracted and estimated as per the optimized conditions. The stored spotted filter paper showed no degradation at the end of 3 months.\nStability of morphine using DUS method", "This study was financially supported by Indian Council of Medical Research, Government of India." ]
[ null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Introduction", "Materials and Methods", "Chemicals", "Instrumentation and gas chromatography conditions", "Sample collection", "DUS preparation", "Extraction and detection of morphine from DUS", "Method validation", "Clinical validation", "Stability", "Results", "Optimization of DUS extraction", "Clinical validation", "Stability", "Discussion and Conclusions", "Financial support and sponsorship", "Conflicts of interest" ]
[ "Opioids top the list of “problem” drugs worldwide.[1] The use of illicit opioids like heroin along with nonmedical use of prescription opioids is a rising public health concern. This leads to increased healthcare services and deaths due to drug overdose. Among injecting drug users (IDUs), the use of opioids, especially heroin is emerging. There are an estimated 15.9 million IDUs globally. In India, the number of IDUs is around 1.77 million.[2] Notably, almost all the IDUs in India use opioid drugs and are mostly opioid dependent.[3]\nLaboratory screening of substance use, especially opioids to monitor drug use is an important component of addiction treatment settings. It provides an unbiased, reproducible, and accurate method to monitor patients and offers objective support for clinical considerations. Urine is often preferred over other biological specimen, as it is readily collectible and has higher levels of drugs and metabolites in comparison to serum/blood or saliva. Drug abuse testing in patients belonging to remote areas is considered to be fraught with many logistic problems. In addition, to minimize variations, it is always advisable for the analysis to be carried out in one centralized laboratory. Transportation to a distant laboratory often involves challenges such as requirement of trained staff, sample spillage, breakage, cross contamination, and shipment in lower temperatures.\nUse of dry biological specimen such as dried blood spot (DBS) or dried urine spot (DUS) is becoming popular recently, as it offers some interesting advantages over liquid samples for screening/diagnosis.[456789101112] First, it requires a less invasive sampling method. Second, DUS provides stability even at ambient temperature. It also offers easy storage and transportation with no need for freezers or dry ice in most applications. Concerning morphine and drugs of abuse, there is a paucity of literature regarding use of dried urine spots for screening. Some recent reports are available on using dried urine spots method for morphine screening.[131415] However, no study has reported the use of dried urine spots in an addiction treatment setting and clinical validation for morphine screening till date.\nThe objective of the present study was to develop a simple and cost-effective method for direct screening of morphine using urine spotted onto a filter paper and evaluating its clinical applicability.", " Chemicals All the reagents used were of analytical grade and were obtained from Merck, USA. Morphine standard was obtained morphine injection IP 15 mg/ml, Troikaa Pharmaceuticals Ltd, Gujarat, India. Whatman Filter paper 903 was obtained from GE Health Care, India.\nAll the reagents used were of analytical grade and were obtained from Merck, USA. Morphine standard was obtained morphine injection IP 15 mg/ml, Troikaa Pharmaceuticals Ltd, Gujarat, India. Whatman Filter paper 903 was obtained from GE Health Care, India.\n Instrumentation and gas chromatography conditions Screening was performed by enzyme-linked immunosorbent assay (ELISA) technique (Tecan GENios ELISA reader, Austria GmbH, Austria) using Megellan Software V1.30 (Tecan Austria, Austria).\nFurther confirmation of the samples was done using gas chromatograph (model 7890A, Agilent India Pvt. Ltd, USA). The gas chromatography (GC) was equipped with 7683B series Auto Sampler (split/split-less inlet, fused silica capillary column coated with HP-5 cross-linked 5% diphenyl, and 95% dimethylpolysiloxane (30 m × 0.320 i.d., 0.5 μm film thickness). The temperature gradient used was 1 min at 170°C, 10°C/min from 170°C to 270°C, and 5 min at 270°C. Nitrogen was used as a carrier gas at a flow rate of 10 ml/min. The injector temperature was 280°C. The injection volume was 2 μl for each GC run, and the split ratio was kept 1:10. The nitrogen phosphorus detector (NPD) was used with electronic pneumatic control at 300°C. System control, data acquisition, and analysis were performed with GC Chem Station G2075BA software.\nScreening was performed by enzyme-linked immunosorbent assay (ELISA) technique (Tecan GENios ELISA reader, Austria GmbH, Austria) using Megellan Software V1.30 (Tecan Austria, Austria).\nFurther confirmation of the samples was done using gas chromatograph (model 7890A, Agilent India Pvt. Ltd, USA). The gas chromatography (GC) was equipped with 7683B series Auto Sampler (split/split-less inlet, fused silica capillary column coated with HP-5 cross-linked 5% diphenyl, and 95% dimethylpolysiloxane (30 m × 0.320 i.d., 0.5 μm film thickness). The temperature gradient used was 1 min at 170°C, 10°C/min from 170°C to 270°C, and 5 min at 270°C. Nitrogen was used as a carrier gas at a flow rate of 10 ml/min. The injector temperature was 280°C. The injection volume was 2 μl for each GC run, and the split ratio was kept 1:10. The nitrogen phosphorus detector (NPD) was used with electronic pneumatic control at 300°C. System control, data acquisition, and analysis were performed with GC Chem Station G2075BA software.\n Sample collection The study was conducted at a tertiary-care addiction treatment setting of North India. The inclusion criteria included male patients fulfilling International Classification of Diseases-10 criteria[16] for harmful or dependent opioid use, recent use, within last 48 h, and willing to participate in the study. The patients who reported use of drugs other than opioid and presence of any other psychiatric illness were excluded from the study. Patient informed consent was obtained from all participants who fulfilled the inclusion criteria. After inclusion, 30 ml of urine samples were collected from each patient. Drug-free urine samples (controls) were obtained from laboratory staff volunteers. The urine samples were screened by cassette test for opiates, benzodiazepines, cannabis, and nicotine use. The study was carried out in accordance with Declaration of Helsinki, and the study protocol was approved by the institutional ethics committee. The study was completed in 1-year duration (March 2012–2013).\nThe study was conducted at a tertiary-care addiction treatment setting of North India. The inclusion criteria included male patients fulfilling International Classification of Diseases-10 criteria[16] for harmful or dependent opioid use, recent use, within last 48 h, and willing to participate in the study. The patients who reported use of drugs other than opioid and presence of any other psychiatric illness were excluded from the study. Patient informed consent was obtained from all participants who fulfilled the inclusion criteria. After inclusion, 30 ml of urine samples were collected from each patient. Drug-free urine samples (controls) were obtained from laboratory staff volunteers. The urine samples were screened by cassette test for opiates, benzodiazepines, cannabis, and nicotine use. The study was carried out in accordance with Declaration of Helsinki, and the study protocol was approved by the institutional ethics committee. The study was completed in 1-year duration (March 2012–2013).\n DUS preparation Control urine samples with zero baseline drug level were spiked with various concentrations (100, 50, 10, and 1 μg/ml) of standard morphine. Twenty ul of morphine standards spiked in control urine sample and patient's samples were spotted onto filter paper kept on a nonabsorbent surface. The spotted samples were then allowed to dry overnight at ambient temperature.\nControl urine samples with zero baseline drug level were spiked with various concentrations (100, 50, 10, and 1 μg/ml) of standard morphine. Twenty ul of morphine standards spiked in control urine sample and patient's samples were spotted onto filter paper kept on a nonabsorbent surface. The spotted samples were then allowed to dry overnight at ambient temperature.\n Extraction and detection of morphine from DUS Optimal conditions were worked out to check the maximum recovery using three different eluting solvents at different temperature (room temperature and 37°C) and time conditions (4, 24, 48, 72, and 96 h). Briefly, DUS with spiked morphine standards was punched manually using a manual puncher of diameter 3.2 mm. Three different solvents, i.e., deionized water, sodium carbonate-bicarbonate buffer (pH 9.2), and saline were tried for morphine extraction from DUS. The detection of morphine was checked with ELISA kits (Calbiotech Pvt limited, USA) onto ELISA reader as per manufacturer's guidelines. The results were given as positive or negative based on the cutoff (100 ng/ml) of ELISA kit being used.\nConfirmation of the urine and dried urine spots (DUS) were carried out as per the previously developed laboratory method by extraction and derivatization before injecting to gas chromatograph.[17]\nOptimal conditions were worked out to check the maximum recovery using three different eluting solvents at different temperature (room temperature and 37°C) and time conditions (4, 24, 48, 72, and 96 h). Briefly, DUS with spiked morphine standards was punched manually using a manual puncher of diameter 3.2 mm. Three different solvents, i.e., deionized water, sodium carbonate-bicarbonate buffer (pH 9.2), and saline were tried for morphine extraction from DUS. The detection of morphine was checked with ELISA kits (Calbiotech Pvt limited, USA) onto ELISA reader as per manufacturer's guidelines. The results were given as positive or negative based on the cutoff (100 ng/ml) of ELISA kit being used.\nConfirmation of the urine and dried urine spots (DUS) were carried out as per the previously developed laboratory method by extraction and derivatization before injecting to gas chromatograph.[17]\n Method validation Percent recovery was calculated based on comparison between the standard and the extracted morphine from DUS using the following formula:\n\n\n\nWhere, Xe = Mean concentration obtained from extracted standard using DUS method, and Xs = mean concentration obtained from direct standard.\nFor interday precision, the standards were run in triplicate for three consecutive days, and for intraday precision, the standards were repeated three times in triplicate within the same day. Both are expressed as standard deviation and coefficient of variation (% CV).\nPercent recovery was calculated based on comparison between the standard and the extracted morphine from DUS using the following formula:\n\n\n\nWhere, Xe = Mean concentration obtained from extracted standard using DUS method, and Xs = mean concentration obtained from direct standard.\nFor interday precision, the standards were run in triplicate for three consecutive days, and for intraday precision, the standards were repeated three times in triplicate within the same day. Both are expressed as standard deviation and coefficient of variation (% CV).\n Clinical validation The use of filter paper to screen drug use in a clinical setting was checked by collecting urine samples from opioid using patients as per the inclusion criteria. Twenty microliters of the urine samples from each patient were spotted onto filter paper and dried. The filter paper spotted urine samples (DUS), and corresponding urine samples were analyzed for morphine as per the standardized conditions.\nThe use of filter paper to screen drug use in a clinical setting was checked by collecting urine samples from opioid using patients as per the inclusion criteria. Twenty microliters of the urine samples from each patient were spotted onto filter paper and dried. The filter paper spotted urine samples (DUS), and corresponding urine samples were analyzed for morphine as per the standardized conditions.\n Stability The stability of DUS was tested by spotting the morphine spiked urine samples (1 ug/ml, 500 ng/ml) and patient's urine samples on filter paper, which were kept in sealed plastic bags with desiccants until analysis. These sealed plastic bags were stored at three different temperatures (−20°C, 4°C, and room temperature [21°C–28°C]). Estimation was carried out at different points of time, i.e., within 24 h after collection and weekly for 1st 4 weeks and then consecutive weeks till 3 months.\nThe stability of DUS was tested by spotting the morphine spiked urine samples (1 ug/ml, 500 ng/ml) and patient's urine samples on filter paper, which were kept in sealed plastic bags with desiccants until analysis. These sealed plastic bags were stored at three different temperatures (−20°C, 4°C, and room temperature [21°C–28°C]). Estimation was carried out at different points of time, i.e., within 24 h after collection and weekly for 1st 4 weeks and then consecutive weeks till 3 months.", "All the reagents used were of analytical grade and were obtained from Merck, USA. Morphine standard was obtained morphine injection IP 15 mg/ml, Troikaa Pharmaceuticals Ltd, Gujarat, India. Whatman Filter paper 903 was obtained from GE Health Care, India.", "Screening was performed by enzyme-linked immunosorbent assay (ELISA) technique (Tecan GENios ELISA reader, Austria GmbH, Austria) using Megellan Software V1.30 (Tecan Austria, Austria).\nFurther confirmation of the samples was done using gas chromatograph (model 7890A, Agilent India Pvt. Ltd, USA). The gas chromatography (GC) was equipped with 7683B series Auto Sampler (split/split-less inlet, fused silica capillary column coated with HP-5 cross-linked 5% diphenyl, and 95% dimethylpolysiloxane (30 m × 0.320 i.d., 0.5 μm film thickness). The temperature gradient used was 1 min at 170°C, 10°C/min from 170°C to 270°C, and 5 min at 270°C. Nitrogen was used as a carrier gas at a flow rate of 10 ml/min. The injector temperature was 280°C. The injection volume was 2 μl for each GC run, and the split ratio was kept 1:10. The nitrogen phosphorus detector (NPD) was used with electronic pneumatic control at 300°C. System control, data acquisition, and analysis were performed with GC Chem Station G2075BA software.", "The study was conducted at a tertiary-care addiction treatment setting of North India. The inclusion criteria included male patients fulfilling International Classification of Diseases-10 criteria[16] for harmful or dependent opioid use, recent use, within last 48 h, and willing to participate in the study. The patients who reported use of drugs other than opioid and presence of any other psychiatric illness were excluded from the study. Patient informed consent was obtained from all participants who fulfilled the inclusion criteria. After inclusion, 30 ml of urine samples were collected from each patient. Drug-free urine samples (controls) were obtained from laboratory staff volunteers. The urine samples were screened by cassette test for opiates, benzodiazepines, cannabis, and nicotine use. The study was carried out in accordance with Declaration of Helsinki, and the study protocol was approved by the institutional ethics committee. The study was completed in 1-year duration (March 2012–2013).", "Control urine samples with zero baseline drug level were spiked with various concentrations (100, 50, 10, and 1 μg/ml) of standard morphine. Twenty ul of morphine standards spiked in control urine sample and patient's samples were spotted onto filter paper kept on a nonabsorbent surface. The spotted samples were then allowed to dry overnight at ambient temperature.", "Optimal conditions were worked out to check the maximum recovery using three different eluting solvents at different temperature (room temperature and 37°C) and time conditions (4, 24, 48, 72, and 96 h). Briefly, DUS with spiked morphine standards was punched manually using a manual puncher of diameter 3.2 mm. Three different solvents, i.e., deionized water, sodium carbonate-bicarbonate buffer (pH 9.2), and saline were tried for morphine extraction from DUS. The detection of morphine was checked with ELISA kits (Calbiotech Pvt limited, USA) onto ELISA reader as per manufacturer's guidelines. The results were given as positive or negative based on the cutoff (100 ng/ml) of ELISA kit being used.\nConfirmation of the urine and dried urine spots (DUS) were carried out as per the previously developed laboratory method by extraction and derivatization before injecting to gas chromatograph.[17]", "Percent recovery was calculated based on comparison between the standard and the extracted morphine from DUS using the following formula:\n\n\n\nWhere, Xe = Mean concentration obtained from extracted standard using DUS method, and Xs = mean concentration obtained from direct standard.\nFor interday precision, the standards were run in triplicate for three consecutive days, and for intraday precision, the standards were repeated three times in triplicate within the same day. Both are expressed as standard deviation and coefficient of variation (% CV).", "The use of filter paper to screen drug use in a clinical setting was checked by collecting urine samples from opioid using patients as per the inclusion criteria. Twenty microliters of the urine samples from each patient were spotted onto filter paper and dried. The filter paper spotted urine samples (DUS), and corresponding urine samples were analyzed for morphine as per the standardized conditions.", "The stability of DUS was tested by spotting the morphine spiked urine samples (1 ug/ml, 500 ng/ml) and patient's urine samples on filter paper, which were kept in sealed plastic bags with desiccants until analysis. These sealed plastic bags were stored at three different temperatures (−20°C, 4°C, and room temperature [21°C–28°C]). Estimation was carried out at different points of time, i.e., within 24 h after collection and weekly for 1st 4 weeks and then consecutive weeks till 3 months.", " Optimization of DUS extraction The extraction of morphine was carried out using three extracting solvents for different time periods. The recovery of morphine was found to be maximum (99.4%) using two punches (3.2 mm each) in 500 μL of deionized water, kept at 37°C in a water bath shaker for a period of 24 h [Figure 1].\nRecovery curve of morphine\nLimit of detection (LOD) for the method was found to be 100 ng/ml. The interday CV and intraday CV results are shown in Table 1.\nInterday and intraday coefficient of variation results\nCV=Coefficient of variation\nThe extraction of morphine was carried out using three extracting solvents for different time periods. The recovery of morphine was found to be maximum (99.4%) using two punches (3.2 mm each) in 500 μL of deionized water, kept at 37°C in a water bath shaker for a period of 24 h [Figure 1].\nRecovery curve of morphine\nLimit of detection (LOD) for the method was found to be 100 ng/ml. The interday CV and intraday CV results are shown in Table 1.\nInterday and intraday coefficient of variation results\nCV=Coefficient of variation\n Clinical validation Urine samples were collected from 50 patients with opioid use disorders as per the inclusion criteria. All the patients were males with the mean age of 35.2 ± 9.67 years. Twenty-six percentage of the patients were unmarried (n = 13) while 74% were married (n = 37). Majority of the patients were employed (86%, n = 43) and only 14% were unemployed (n = 7). The education status was reported as illiterate 5 (10%), just literate 13 (26%), primary 10 (20%), high school 12 (24%), higher secondary 2 (4%), graduate 5 (10%), and postgraduate 3 (6%).\nAll the 50 samples were found to be positive for morphine in direct urine as well as filter paper-spotted urine samples by ELISA technique. Representative gas-liquid chromatography (GLC) chromatogram of morphine-spiked control urine with a retention time of 12.89 min is shown in Figure 2.\nGas-liquid chromatography chromatogram of standard morphine-spiked control urine\nFigure 3 shows the GLC chromatogram of a patient's urine sample by filter paper method with retention time of 12.89 min.\nGas-liquid chromatography chromatogram of a patient's urine sample by filter paper method\nThe results showed 100% concordance between filter paper-extracted urine specimens and direct urine specimens in patients' sample using GC technique.\nUrine samples were collected from 50 patients with opioid use disorders as per the inclusion criteria. All the patients were males with the mean age of 35.2 ± 9.67 years. Twenty-six percentage of the patients were unmarried (n = 13) while 74% were married (n = 37). Majority of the patients were employed (86%, n = 43) and only 14% were unemployed (n = 7). The education status was reported as illiterate 5 (10%), just literate 13 (26%), primary 10 (20%), high school 12 (24%), higher secondary 2 (4%), graduate 5 (10%), and postgraduate 3 (6%).\nAll the 50 samples were found to be positive for morphine in direct urine as well as filter paper-spotted urine samples by ELISA technique. Representative gas-liquid chromatography (GLC) chromatogram of morphine-spiked control urine with a retention time of 12.89 min is shown in Figure 2.\nGas-liquid chromatography chromatogram of standard morphine-spiked control urine\nFigure 3 shows the GLC chromatogram of a patient's urine sample by filter paper method with retention time of 12.89 min.\nGas-liquid chromatography chromatogram of a patient's urine sample by filter paper method\nThe results showed 100% concordance between filter paper-extracted urine specimens and direct urine specimens in patients' sample using GC technique.\n Stability Morphine was found to be stable in DUS samples stored at room temperatures, −20°C and 4°C [Figure 4]. The concentration of morphine depicted in figure corresponds to 20 μl of urine spot extracted and estimated as per the optimized conditions. The stored spotted filter paper showed no degradation at the end of 3 months.\nStability of morphine using DUS method\nMorphine was found to be stable in DUS samples stored at room temperatures, −20°C and 4°C [Figure 4]. The concentration of morphine depicted in figure corresponds to 20 μl of urine spot extracted and estimated as per the optimized conditions. The stored spotted filter paper showed no degradation at the end of 3 months.\nStability of morphine using DUS method", "The extraction of morphine was carried out using three extracting solvents for different time periods. The recovery of morphine was found to be maximum (99.4%) using two punches (3.2 mm each) in 500 μL of deionized water, kept at 37°C in a water bath shaker for a period of 24 h [Figure 1].\nRecovery curve of morphine\nLimit of detection (LOD) for the method was found to be 100 ng/ml. The interday CV and intraday CV results are shown in Table 1.\nInterday and intraday coefficient of variation results\nCV=Coefficient of variation", "Urine samples were collected from 50 patients with opioid use disorders as per the inclusion criteria. All the patients were males with the mean age of 35.2 ± 9.67 years. Twenty-six percentage of the patients were unmarried (n = 13) while 74% were married (n = 37). Majority of the patients were employed (86%, n = 43) and only 14% were unemployed (n = 7). The education status was reported as illiterate 5 (10%), just literate 13 (26%), primary 10 (20%), high school 12 (24%), higher secondary 2 (4%), graduate 5 (10%), and postgraduate 3 (6%).\nAll the 50 samples were found to be positive for morphine in direct urine as well as filter paper-spotted urine samples by ELISA technique. Representative gas-liquid chromatography (GLC) chromatogram of morphine-spiked control urine with a retention time of 12.89 min is shown in Figure 2.\nGas-liquid chromatography chromatogram of standard morphine-spiked control urine\nFigure 3 shows the GLC chromatogram of a patient's urine sample by filter paper method with retention time of 12.89 min.\nGas-liquid chromatography chromatogram of a patient's urine sample by filter paper method\nThe results showed 100% concordance between filter paper-extracted urine specimens and direct urine specimens in patients' sample using GC technique.", "Morphine was found to be stable in DUS samples stored at room temperatures, −20°C and 4°C [Figure 4]. The concentration of morphine depicted in figure corresponds to 20 μl of urine spot extracted and estimated as per the optimized conditions. The stored spotted filter paper showed no degradation at the end of 3 months.\nStability of morphine using DUS method", "Analysis of drug use in biological fluids plays an important role in addiction treatment services. Opioids are a class of drugs that includes heroin and other legal prescription analgesics such as oxycodone, hydrocodone, codeine, morphine, and fentanyl.[18] Urine is often the most preferred specimen among biological specimens used to screen recent drug use due to its ease of collection, higher detectable concentrations of drugs, and metabolites.\nThrough this study, a validated method for the qualitative analysis of morphine in small volumes of urine (20 μL/spot) spotted as DUS has been developed. The extraction and screening of morphine in DUS were found comparable to the conventional urine sampling method.\nIn the current study, LOD was found to be fairly sensitive (100 ng\\ml) for screening the recent opioid use. The current method appeared to be fairly sensitive and cost-effective in a clinical setting.\nFollowing the new challenges encountered in the process of drugs' determination, DUS method has the potential to overcome these challenges. However, in case of morphine detection from DUS, few published reports lack the clinical validation.[131415] Some researchers reported use of DBS to assess the stability of morphine, which complements our results of stability.[1920] The current study advocates the use of DUS to improve morphine stability even when stored at room temperature (up to 3 months). This is in accordance with the published report; the use of filter paper stabilizes the analyte thus increasing the chance of getting a positive result even with low concentrations for a considerable period of time after sample collection.[13]\nAs per our knowledge, this is the first study to report the clinical validation of DUS in an addiction treatment setting to screen morphine.\nThis methodology was developed for the qualitative screening of morphine, and future studies with quantitative estimation with larger sample size are needed. Dried urine spot samples have been found to be a useful alternative for biological monitoring of morphine use, especially in developing countries where sample logistics could be a major problem.\nMoreover, the DUS can be used as an alternative procedure in conjunction with conventional methods. It holds promise for preserving unstable drugs. It may help to avoid potential errors in analytical interpretation of results because of environmental influences. DUS has the potential to be used in field-based studies lacking laboratory facilities. Thus, the use of DUS for detecting morphine in the addiction treatment settings represents an inexpensive, rapid, precise, and simple method. These results call for further work for wider screening of participants belonging to drug using areas with limited laboratory facilities.\n Financial support and sponsorship This study was financially supported by Indian Council of Medical Research, Government of India.\nThis study was financially supported by Indian Council of Medical Research, Government of India.\n Conflicts of interest There are no conflicts of interest.\nThere are no conflicts of interest.", "This study was financially supported by Indian Council of Medical Research, Government of India.", "There are no conflicts of interest." ]
[ "intro", "materials|methods", null, null, null, null, null, null, null, null, "results", null, null, null, "discussion", null, "COI-statement" ]
[ "Dried urine spots", "drug abuse screening", "gas chromatography", "immunoassay", "morphine" ]
Introduction: Opioids top the list of “problem” drugs worldwide.[1] The use of illicit opioids like heroin along with nonmedical use of prescription opioids is a rising public health concern. This leads to increased healthcare services and deaths due to drug overdose. Among injecting drug users (IDUs), the use of opioids, especially heroin is emerging. There are an estimated 15.9 million IDUs globally. In India, the number of IDUs is around 1.77 million.[2] Notably, almost all the IDUs in India use opioid drugs and are mostly opioid dependent.[3] Laboratory screening of substance use, especially opioids to monitor drug use is an important component of addiction treatment settings. It provides an unbiased, reproducible, and accurate method to monitor patients and offers objective support for clinical considerations. Urine is often preferred over other biological specimen, as it is readily collectible and has higher levels of drugs and metabolites in comparison to serum/blood or saliva. Drug abuse testing in patients belonging to remote areas is considered to be fraught with many logistic problems. In addition, to minimize variations, it is always advisable for the analysis to be carried out in one centralized laboratory. Transportation to a distant laboratory often involves challenges such as requirement of trained staff, sample spillage, breakage, cross contamination, and shipment in lower temperatures. Use of dry biological specimen such as dried blood spot (DBS) or dried urine spot (DUS) is becoming popular recently, as it offers some interesting advantages over liquid samples for screening/diagnosis.[456789101112] First, it requires a less invasive sampling method. Second, DUS provides stability even at ambient temperature. It also offers easy storage and transportation with no need for freezers or dry ice in most applications. Concerning morphine and drugs of abuse, there is a paucity of literature regarding use of dried urine spots for screening. Some recent reports are available on using dried urine spots method for morphine screening.[131415] However, no study has reported the use of dried urine spots in an addiction treatment setting and clinical validation for morphine screening till date. The objective of the present study was to develop a simple and cost-effective method for direct screening of morphine using urine spotted onto a filter paper and evaluating its clinical applicability. Materials and Methods: Chemicals All the reagents used were of analytical grade and were obtained from Merck, USA. Morphine standard was obtained morphine injection IP 15 mg/ml, Troikaa Pharmaceuticals Ltd, Gujarat, India. Whatman Filter paper 903 was obtained from GE Health Care, India. All the reagents used were of analytical grade and were obtained from Merck, USA. Morphine standard was obtained morphine injection IP 15 mg/ml, Troikaa Pharmaceuticals Ltd, Gujarat, India. Whatman Filter paper 903 was obtained from GE Health Care, India. Instrumentation and gas chromatography conditions Screening was performed by enzyme-linked immunosorbent assay (ELISA) technique (Tecan GENios ELISA reader, Austria GmbH, Austria) using Megellan Software V1.30 (Tecan Austria, Austria). Further confirmation of the samples was done using gas chromatograph (model 7890A, Agilent India Pvt. Ltd, USA). The gas chromatography (GC) was equipped with 7683B series Auto Sampler (split/split-less inlet, fused silica capillary column coated with HP-5 cross-linked 5% diphenyl, and 95% dimethylpolysiloxane (30 m × 0.320 i.d., 0.5 μm film thickness). The temperature gradient used was 1 min at 170°C, 10°C/min from 170°C to 270°C, and 5 min at 270°C. Nitrogen was used as a carrier gas at a flow rate of 10 ml/min. The injector temperature was 280°C. The injection volume was 2 μl for each GC run, and the split ratio was kept 1:10. The nitrogen phosphorus detector (NPD) was used with electronic pneumatic control at 300°C. System control, data acquisition, and analysis were performed with GC Chem Station G2075BA software. Screening was performed by enzyme-linked immunosorbent assay (ELISA) technique (Tecan GENios ELISA reader, Austria GmbH, Austria) using Megellan Software V1.30 (Tecan Austria, Austria). Further confirmation of the samples was done using gas chromatograph (model 7890A, Agilent India Pvt. Ltd, USA). The gas chromatography (GC) was equipped with 7683B series Auto Sampler (split/split-less inlet, fused silica capillary column coated with HP-5 cross-linked 5% diphenyl, and 95% dimethylpolysiloxane (30 m × 0.320 i.d., 0.5 μm film thickness). The temperature gradient used was 1 min at 170°C, 10°C/min from 170°C to 270°C, and 5 min at 270°C. Nitrogen was used as a carrier gas at a flow rate of 10 ml/min. The injector temperature was 280°C. The injection volume was 2 μl for each GC run, and the split ratio was kept 1:10. The nitrogen phosphorus detector (NPD) was used with electronic pneumatic control at 300°C. System control, data acquisition, and analysis were performed with GC Chem Station G2075BA software. Sample collection The study was conducted at a tertiary-care addiction treatment setting of North India. The inclusion criteria included male patients fulfilling International Classification of Diseases-10 criteria[16] for harmful or dependent opioid use, recent use, within last 48 h, and willing to participate in the study. The patients who reported use of drugs other than opioid and presence of any other psychiatric illness were excluded from the study. Patient informed consent was obtained from all participants who fulfilled the inclusion criteria. After inclusion, 30 ml of urine samples were collected from each patient. Drug-free urine samples (controls) were obtained from laboratory staff volunteers. The urine samples were screened by cassette test for opiates, benzodiazepines, cannabis, and nicotine use. The study was carried out in accordance with Declaration of Helsinki, and the study protocol was approved by the institutional ethics committee. The study was completed in 1-year duration (March 2012–2013). The study was conducted at a tertiary-care addiction treatment setting of North India. The inclusion criteria included male patients fulfilling International Classification of Diseases-10 criteria[16] for harmful or dependent opioid use, recent use, within last 48 h, and willing to participate in the study. The patients who reported use of drugs other than opioid and presence of any other psychiatric illness were excluded from the study. Patient informed consent was obtained from all participants who fulfilled the inclusion criteria. After inclusion, 30 ml of urine samples were collected from each patient. Drug-free urine samples (controls) were obtained from laboratory staff volunteers. The urine samples were screened by cassette test for opiates, benzodiazepines, cannabis, and nicotine use. The study was carried out in accordance with Declaration of Helsinki, and the study protocol was approved by the institutional ethics committee. The study was completed in 1-year duration (March 2012–2013). DUS preparation Control urine samples with zero baseline drug level were spiked with various concentrations (100, 50, 10, and 1 μg/ml) of standard morphine. Twenty ul of morphine standards spiked in control urine sample and patient's samples were spotted onto filter paper kept on a nonabsorbent surface. The spotted samples were then allowed to dry overnight at ambient temperature. Control urine samples with zero baseline drug level were spiked with various concentrations (100, 50, 10, and 1 μg/ml) of standard morphine. Twenty ul of morphine standards spiked in control urine sample and patient's samples were spotted onto filter paper kept on a nonabsorbent surface. The spotted samples were then allowed to dry overnight at ambient temperature. Extraction and detection of morphine from DUS Optimal conditions were worked out to check the maximum recovery using three different eluting solvents at different temperature (room temperature and 37°C) and time conditions (4, 24, 48, 72, and 96 h). Briefly, DUS with spiked morphine standards was punched manually using a manual puncher of diameter 3.2 mm. Three different solvents, i.e., deionized water, sodium carbonate-bicarbonate buffer (pH 9.2), and saline were tried for morphine extraction from DUS. The detection of morphine was checked with ELISA kits (Calbiotech Pvt limited, USA) onto ELISA reader as per manufacturer's guidelines. The results were given as positive or negative based on the cutoff (100 ng/ml) of ELISA kit being used. Confirmation of the urine and dried urine spots (DUS) were carried out as per the previously developed laboratory method by extraction and derivatization before injecting to gas chromatograph.[17] Optimal conditions were worked out to check the maximum recovery using three different eluting solvents at different temperature (room temperature and 37°C) and time conditions (4, 24, 48, 72, and 96 h). Briefly, DUS with spiked morphine standards was punched manually using a manual puncher of diameter 3.2 mm. Three different solvents, i.e., deionized water, sodium carbonate-bicarbonate buffer (pH 9.2), and saline were tried for morphine extraction from DUS. The detection of morphine was checked with ELISA kits (Calbiotech Pvt limited, USA) onto ELISA reader as per manufacturer's guidelines. The results were given as positive or negative based on the cutoff (100 ng/ml) of ELISA kit being used. Confirmation of the urine and dried urine spots (DUS) were carried out as per the previously developed laboratory method by extraction and derivatization before injecting to gas chromatograph.[17] Method validation Percent recovery was calculated based on comparison between the standard and the extracted morphine from DUS using the following formula: Where, Xe = Mean concentration obtained from extracted standard using DUS method, and Xs = mean concentration obtained from direct standard. For interday precision, the standards were run in triplicate for three consecutive days, and for intraday precision, the standards were repeated three times in triplicate within the same day. Both are expressed as standard deviation and coefficient of variation (% CV). Percent recovery was calculated based on comparison between the standard and the extracted morphine from DUS using the following formula: Where, Xe = Mean concentration obtained from extracted standard using DUS method, and Xs = mean concentration obtained from direct standard. For interday precision, the standards were run in triplicate for three consecutive days, and for intraday precision, the standards were repeated three times in triplicate within the same day. Both are expressed as standard deviation and coefficient of variation (% CV). Clinical validation The use of filter paper to screen drug use in a clinical setting was checked by collecting urine samples from opioid using patients as per the inclusion criteria. Twenty microliters of the urine samples from each patient were spotted onto filter paper and dried. The filter paper spotted urine samples (DUS), and corresponding urine samples were analyzed for morphine as per the standardized conditions. The use of filter paper to screen drug use in a clinical setting was checked by collecting urine samples from opioid using patients as per the inclusion criteria. Twenty microliters of the urine samples from each patient were spotted onto filter paper and dried. The filter paper spotted urine samples (DUS), and corresponding urine samples were analyzed for morphine as per the standardized conditions. Stability The stability of DUS was tested by spotting the morphine spiked urine samples (1 ug/ml, 500 ng/ml) and patient's urine samples on filter paper, which were kept in sealed plastic bags with desiccants until analysis. These sealed plastic bags were stored at three different temperatures (−20°C, 4°C, and room temperature [21°C–28°C]). Estimation was carried out at different points of time, i.e., within 24 h after collection and weekly for 1st 4 weeks and then consecutive weeks till 3 months. The stability of DUS was tested by spotting the morphine spiked urine samples (1 ug/ml, 500 ng/ml) and patient's urine samples on filter paper, which were kept in sealed plastic bags with desiccants until analysis. These sealed plastic bags were stored at three different temperatures (−20°C, 4°C, and room temperature [21°C–28°C]). Estimation was carried out at different points of time, i.e., within 24 h after collection and weekly for 1st 4 weeks and then consecutive weeks till 3 months. Chemicals: All the reagents used were of analytical grade and were obtained from Merck, USA. Morphine standard was obtained morphine injection IP 15 mg/ml, Troikaa Pharmaceuticals Ltd, Gujarat, India. Whatman Filter paper 903 was obtained from GE Health Care, India. Instrumentation and gas chromatography conditions: Screening was performed by enzyme-linked immunosorbent assay (ELISA) technique (Tecan GENios ELISA reader, Austria GmbH, Austria) using Megellan Software V1.30 (Tecan Austria, Austria). Further confirmation of the samples was done using gas chromatograph (model 7890A, Agilent India Pvt. Ltd, USA). The gas chromatography (GC) was equipped with 7683B series Auto Sampler (split/split-less inlet, fused silica capillary column coated with HP-5 cross-linked 5% diphenyl, and 95% dimethylpolysiloxane (30 m × 0.320 i.d., 0.5 μm film thickness). The temperature gradient used was 1 min at 170°C, 10°C/min from 170°C to 270°C, and 5 min at 270°C. Nitrogen was used as a carrier gas at a flow rate of 10 ml/min. The injector temperature was 280°C. The injection volume was 2 μl for each GC run, and the split ratio was kept 1:10. The nitrogen phosphorus detector (NPD) was used with electronic pneumatic control at 300°C. System control, data acquisition, and analysis were performed with GC Chem Station G2075BA software. Sample collection: The study was conducted at a tertiary-care addiction treatment setting of North India. The inclusion criteria included male patients fulfilling International Classification of Diseases-10 criteria[16] for harmful or dependent opioid use, recent use, within last 48 h, and willing to participate in the study. The patients who reported use of drugs other than opioid and presence of any other psychiatric illness were excluded from the study. Patient informed consent was obtained from all participants who fulfilled the inclusion criteria. After inclusion, 30 ml of urine samples were collected from each patient. Drug-free urine samples (controls) were obtained from laboratory staff volunteers. The urine samples were screened by cassette test for opiates, benzodiazepines, cannabis, and nicotine use. The study was carried out in accordance with Declaration of Helsinki, and the study protocol was approved by the institutional ethics committee. The study was completed in 1-year duration (March 2012–2013). DUS preparation: Control urine samples with zero baseline drug level were spiked with various concentrations (100, 50, 10, and 1 μg/ml) of standard morphine. Twenty ul of morphine standards spiked in control urine sample and patient's samples were spotted onto filter paper kept on a nonabsorbent surface. The spotted samples were then allowed to dry overnight at ambient temperature. Extraction and detection of morphine from DUS: Optimal conditions were worked out to check the maximum recovery using three different eluting solvents at different temperature (room temperature and 37°C) and time conditions (4, 24, 48, 72, and 96 h). Briefly, DUS with spiked morphine standards was punched manually using a manual puncher of diameter 3.2 mm. Three different solvents, i.e., deionized water, sodium carbonate-bicarbonate buffer (pH 9.2), and saline were tried for morphine extraction from DUS. The detection of morphine was checked with ELISA kits (Calbiotech Pvt limited, USA) onto ELISA reader as per manufacturer's guidelines. The results were given as positive or negative based on the cutoff (100 ng/ml) of ELISA kit being used. Confirmation of the urine and dried urine spots (DUS) were carried out as per the previously developed laboratory method by extraction and derivatization before injecting to gas chromatograph.[17] Method validation: Percent recovery was calculated based on comparison between the standard and the extracted morphine from DUS using the following formula: Where, Xe = Mean concentration obtained from extracted standard using DUS method, and Xs = mean concentration obtained from direct standard. For interday precision, the standards were run in triplicate for three consecutive days, and for intraday precision, the standards were repeated three times in triplicate within the same day. Both are expressed as standard deviation and coefficient of variation (% CV). Clinical validation: The use of filter paper to screen drug use in a clinical setting was checked by collecting urine samples from opioid using patients as per the inclusion criteria. Twenty microliters of the urine samples from each patient were spotted onto filter paper and dried. The filter paper spotted urine samples (DUS), and corresponding urine samples were analyzed for morphine as per the standardized conditions. Stability: The stability of DUS was tested by spotting the morphine spiked urine samples (1 ug/ml, 500 ng/ml) and patient's urine samples on filter paper, which were kept in sealed plastic bags with desiccants until analysis. These sealed plastic bags were stored at three different temperatures (−20°C, 4°C, and room temperature [21°C–28°C]). Estimation was carried out at different points of time, i.e., within 24 h after collection and weekly for 1st 4 weeks and then consecutive weeks till 3 months. Results: Optimization of DUS extraction The extraction of morphine was carried out using three extracting solvents for different time periods. The recovery of morphine was found to be maximum (99.4%) using two punches (3.2 mm each) in 500 μL of deionized water, kept at 37°C in a water bath shaker for a period of 24 h [Figure 1]. Recovery curve of morphine Limit of detection (LOD) for the method was found to be 100 ng/ml. The interday CV and intraday CV results are shown in Table 1. Interday and intraday coefficient of variation results CV=Coefficient of variation The extraction of morphine was carried out using three extracting solvents for different time periods. The recovery of morphine was found to be maximum (99.4%) using two punches (3.2 mm each) in 500 μL of deionized water, kept at 37°C in a water bath shaker for a period of 24 h [Figure 1]. Recovery curve of morphine Limit of detection (LOD) for the method was found to be 100 ng/ml. The interday CV and intraday CV results are shown in Table 1. Interday and intraday coefficient of variation results CV=Coefficient of variation Clinical validation Urine samples were collected from 50 patients with opioid use disorders as per the inclusion criteria. All the patients were males with the mean age of 35.2 ± 9.67 years. Twenty-six percentage of the patients were unmarried (n = 13) while 74% were married (n = 37). Majority of the patients were employed (86%, n = 43) and only 14% were unemployed (n = 7). The education status was reported as illiterate 5 (10%), just literate 13 (26%), primary 10 (20%), high school 12 (24%), higher secondary 2 (4%), graduate 5 (10%), and postgraduate 3 (6%). All the 50 samples were found to be positive for morphine in direct urine as well as filter paper-spotted urine samples by ELISA technique. Representative gas-liquid chromatography (GLC) chromatogram of morphine-spiked control urine with a retention time of 12.89 min is shown in Figure 2. Gas-liquid chromatography chromatogram of standard morphine-spiked control urine Figure 3 shows the GLC chromatogram of a patient's urine sample by filter paper method with retention time of 12.89 min. Gas-liquid chromatography chromatogram of a patient's urine sample by filter paper method The results showed 100% concordance between filter paper-extracted urine specimens and direct urine specimens in patients' sample using GC technique. Urine samples were collected from 50 patients with opioid use disorders as per the inclusion criteria. All the patients were males with the mean age of 35.2 ± 9.67 years. Twenty-six percentage of the patients were unmarried (n = 13) while 74% were married (n = 37). Majority of the patients were employed (86%, n = 43) and only 14% were unemployed (n = 7). The education status was reported as illiterate 5 (10%), just literate 13 (26%), primary 10 (20%), high school 12 (24%), higher secondary 2 (4%), graduate 5 (10%), and postgraduate 3 (6%). All the 50 samples were found to be positive for morphine in direct urine as well as filter paper-spotted urine samples by ELISA technique. Representative gas-liquid chromatography (GLC) chromatogram of morphine-spiked control urine with a retention time of 12.89 min is shown in Figure 2. Gas-liquid chromatography chromatogram of standard morphine-spiked control urine Figure 3 shows the GLC chromatogram of a patient's urine sample by filter paper method with retention time of 12.89 min. Gas-liquid chromatography chromatogram of a patient's urine sample by filter paper method The results showed 100% concordance between filter paper-extracted urine specimens and direct urine specimens in patients' sample using GC technique. Stability Morphine was found to be stable in DUS samples stored at room temperatures, −20°C and 4°C [Figure 4]. The concentration of morphine depicted in figure corresponds to 20 μl of urine spot extracted and estimated as per the optimized conditions. The stored spotted filter paper showed no degradation at the end of 3 months. Stability of morphine using DUS method Morphine was found to be stable in DUS samples stored at room temperatures, −20°C and 4°C [Figure 4]. The concentration of morphine depicted in figure corresponds to 20 μl of urine spot extracted and estimated as per the optimized conditions. The stored spotted filter paper showed no degradation at the end of 3 months. Stability of morphine using DUS method Optimization of DUS extraction: The extraction of morphine was carried out using three extracting solvents for different time periods. The recovery of morphine was found to be maximum (99.4%) using two punches (3.2 mm each) in 500 μL of deionized water, kept at 37°C in a water bath shaker for a period of 24 h [Figure 1]. Recovery curve of morphine Limit of detection (LOD) for the method was found to be 100 ng/ml. The interday CV and intraday CV results are shown in Table 1. Interday and intraday coefficient of variation results CV=Coefficient of variation Clinical validation: Urine samples were collected from 50 patients with opioid use disorders as per the inclusion criteria. All the patients were males with the mean age of 35.2 ± 9.67 years. Twenty-six percentage of the patients were unmarried (n = 13) while 74% were married (n = 37). Majority of the patients were employed (86%, n = 43) and only 14% were unemployed (n = 7). The education status was reported as illiterate 5 (10%), just literate 13 (26%), primary 10 (20%), high school 12 (24%), higher secondary 2 (4%), graduate 5 (10%), and postgraduate 3 (6%). All the 50 samples were found to be positive for morphine in direct urine as well as filter paper-spotted urine samples by ELISA technique. Representative gas-liquid chromatography (GLC) chromatogram of morphine-spiked control urine with a retention time of 12.89 min is shown in Figure 2. Gas-liquid chromatography chromatogram of standard morphine-spiked control urine Figure 3 shows the GLC chromatogram of a patient's urine sample by filter paper method with retention time of 12.89 min. Gas-liquid chromatography chromatogram of a patient's urine sample by filter paper method The results showed 100% concordance between filter paper-extracted urine specimens and direct urine specimens in patients' sample using GC technique. Stability: Morphine was found to be stable in DUS samples stored at room temperatures, −20°C and 4°C [Figure 4]. The concentration of morphine depicted in figure corresponds to 20 μl of urine spot extracted and estimated as per the optimized conditions. The stored spotted filter paper showed no degradation at the end of 3 months. Stability of morphine using DUS method Discussion and Conclusions: Analysis of drug use in biological fluids plays an important role in addiction treatment services. Opioids are a class of drugs that includes heroin and other legal prescription analgesics such as oxycodone, hydrocodone, codeine, morphine, and fentanyl.[18] Urine is often the most preferred specimen among biological specimens used to screen recent drug use due to its ease of collection, higher detectable concentrations of drugs, and metabolites. Through this study, a validated method for the qualitative analysis of morphine in small volumes of urine (20 μL/spot) spotted as DUS has been developed. The extraction and screening of morphine in DUS were found comparable to the conventional urine sampling method. In the current study, LOD was found to be fairly sensitive (100 ng\ml) for screening the recent opioid use. The current method appeared to be fairly sensitive and cost-effective in a clinical setting. Following the new challenges encountered in the process of drugs' determination, DUS method has the potential to overcome these challenges. However, in case of morphine detection from DUS, few published reports lack the clinical validation.[131415] Some researchers reported use of DBS to assess the stability of morphine, which complements our results of stability.[1920] The current study advocates the use of DUS to improve morphine stability even when stored at room temperature (up to 3 months). This is in accordance with the published report; the use of filter paper stabilizes the analyte thus increasing the chance of getting a positive result even with low concentrations for a considerable period of time after sample collection.[13] As per our knowledge, this is the first study to report the clinical validation of DUS in an addiction treatment setting to screen morphine. This methodology was developed for the qualitative screening of morphine, and future studies with quantitative estimation with larger sample size are needed. Dried urine spot samples have been found to be a useful alternative for biological monitoring of morphine use, especially in developing countries where sample logistics could be a major problem. Moreover, the DUS can be used as an alternative procedure in conjunction with conventional methods. It holds promise for preserving unstable drugs. It may help to avoid potential errors in analytical interpretation of results because of environmental influences. DUS has the potential to be used in field-based studies lacking laboratory facilities. Thus, the use of DUS for detecting morphine in the addiction treatment settings represents an inexpensive, rapid, precise, and simple method. These results call for further work for wider screening of participants belonging to drug using areas with limited laboratory facilities. Financial support and sponsorship This study was financially supported by Indian Council of Medical Research, Government of India. This study was financially supported by Indian Council of Medical Research, Government of India. Conflicts of interest There are no conflicts of interest. There are no conflicts of interest. Financial support and sponsorship: This study was financially supported by Indian Council of Medical Research, Government of India. Conflicts of interest: There are no conflicts of interest.
Background: In recent years, drug testing in body fluids has gained popularity for validating self-reported drug use. The storage and transportation of urine specimens is a major concern for remote areas where the facilities for performing drug abuse testing are lacking. Methods: The methodology involved optimization of conditions for extraction, recovery, short-, and long-term stability (room temperature, 4°C,-20°C) for detection of opiate from dried urine spots. Further, the extraction efficiency from dried urine spots was compared with the conventional drug testing methodology. The screening was done by using enzyme-linked immunosorbent assay technique, and confirmation was achieved by gas chromatography equipped with nitrogen phosphorus detector. Results: Deionized water was found to be a suitable extracting solvent compare to bi-carbonate buffer (pH 9.2) and saline. Primary screening was achieved by 2 punches taken from a 20-μl (diameter 1.3 cm) spotted urine samples, whereas confirmation was achieved by 2 complete circles each of 20 μl sample volume. The recovery was found to be 99.41% in water. No sign of significant degradation was seen among all storage conditions. Conclusions: In the current study, DUS has achieved the same level of precision and reproducibility as that of standard methods used for drug testing in urine. Hence, the DUS sampling appears to have potential to detect opiate among drug users in a clinical setting.
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5,418
271
[ 49, 225, 175, 68, 172, 95, 70, 107, 116, 277, 71, 16 ]
17
[ "urine", "morphine", "samples", "dus", "use", "urine samples", "paper", "filter paper", "filter", "method" ]
[ "drug abuse testing", "opioid dependent laboratory", "screening morphine urine", "india use opioid", "urine samples opioid" ]
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[CONTENT] Dried urine spots | drug abuse screening | gas chromatography | immunoassay | morphine [SUMMARY]
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[CONTENT] Dried urine spots | drug abuse screening | gas chromatography | immunoassay | morphine [SUMMARY]
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[CONTENT] Dried urine spots | drug abuse screening | gas chromatography | immunoassay | morphine [SUMMARY]
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[CONTENT] Adult | Analgesics, Opioid | Humans | Male | Morphine | Opioid-Related Disorders | Reproducibility of Results | Substance Abuse Detection | Urinalysis [SUMMARY]
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[CONTENT] Adult | Analgesics, Opioid | Humans | Male | Morphine | Opioid-Related Disorders | Reproducibility of Results | Substance Abuse Detection | Urinalysis [SUMMARY]
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[CONTENT] Adult | Analgesics, Opioid | Humans | Male | Morphine | Opioid-Related Disorders | Reproducibility of Results | Substance Abuse Detection | Urinalysis [SUMMARY]
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[CONTENT] drug abuse testing | opioid dependent laboratory | screening morphine urine | india use opioid | urine samples opioid [SUMMARY]
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[CONTENT] drug abuse testing | opioid dependent laboratory | screening morphine urine | india use opioid | urine samples opioid [SUMMARY]
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[CONTENT] drug abuse testing | opioid dependent laboratory | screening morphine urine | india use opioid | urine samples opioid [SUMMARY]
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[CONTENT] urine | morphine | samples | dus | use | urine samples | paper | filter paper | filter | method [SUMMARY]
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[CONTENT] urine | morphine | samples | dus | use | urine samples | paper | filter paper | filter | method [SUMMARY]
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[CONTENT] urine | morphine | samples | dus | use | urine samples | paper | filter paper | filter | method [SUMMARY]
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[CONTENT] use | opioids | screening | idus | dried | offers | drugs | dried urine | urine | drug [SUMMARY]
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[CONTENT] urine | figure | morphine | chromatogram | patients | found | liquid chromatography | gas liquid chromatography | gas liquid | 12 [SUMMARY]
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[CONTENT] urine | morphine | samples | urine samples | dus | use | interest | conflicts | conflicts interest | study [SUMMARY]
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[CONTENT] recent years ||| [SUMMARY]
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[CONTENT] ||| 2 | 20 | 1.3 cm | 2 | 20 ||| 99.41% ||| [SUMMARY]
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[CONTENT] recent years ||| ||| 4°C,-20 ||| ||| ||| ||| ||| 2 | 20 | 1.3 cm | 2 | 20 ||| 99.41% ||| ||| DUS ||| DUS [SUMMARY]
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The Impact of Psychosexual Counseling in Women With Lichen Sclerosus: A Randomized Controlled Trial.
35333024
Lichen sclerosus (LS) can affect sexuality and quality of life (QoL).
INTRODUCTION
One hundred fifty-eight women 18 years or older, newly diagnosed with LS, and referred to North Denmark Regional Hospital from January 2018 to November 2019 were included. The women were randomized in a 1:1 ratio to usual care or an intervention group receiving usual care and up to 8 individual consultations with a specialist in sexual counseling. Spouses or partners were encouraged to participate. The women filled out the questionnaires Female Sexual Function Index (FSFI), Dermatology Life Quality Index, and the WHO-5 Well-Being Index at baseline and after 6 months.
MATERIALS AND METHODS
The controls presented a mean score of 14.8 ± 8.7 and the intervention group presented a mean score of 12.8 ± 8.9 at FSFI. At follow-up, the controls had an FSFI score of 15.2 ± 9.2 and the intervention group revealed an FSFI score of 18.3 ± 9.5. Both groups experienced improved sexual functioning and for the intervention group the increase was significant ( p < .001).At baseline, the Dermatology Life Quality Index mean score was 8.9 ± 5.6 for the control group and 9.3 ± 6.1 for the intervention group. At follow-up, the controls revealed a score of 8.6 ± 5.5 and the intervention group a score of 6.8 ± 5.8. The intervention group reached a significantly higher degree of QoL than the controls ( p = .008).
RESULTS
Psychosexual counseling has a significant impact on sexual functioning and QoL in women with LS.
CONCLUSIONS
[ "Counseling", "Female", "Humans", "Lichen Sclerosus et Atrophicus", "Quality of Life", "Sexual Behavior", "Surveys and Questionnaires" ]
9232275
null
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STATISTICAL METHODS
We based our a priori sample size calculations on available evidence for the DLQI, giving a minimal important difference of 2.97 and an SD of 5.5.20 To detect this difference at 90% power and an α level of 5% we determined that a total of 144 participants (72 in each group) were needed to complete the trial. Baseline characteristics were reported as numbers and percentages for categorical data and, for continuous data, as means and SDs if normally distributed, or medians and interquartile range if not normally distributed. All analyses of results after the intervention period were performed as intention to treat analyses. Missing outcome data were set to baseline values, assuming no difference from baseline. To compare the differences between control and intervention groups, as well as across subgroups, we used analysis of covariance (ANCOVA) adjusted for the baseline value of the relevant outcome. A p value less than .05 was considered statistically significant. The mean difference from baseline with 95% CIs within respective groups was determined using paired t tests. Subscale results for the FSFI and DLQI were presented graphically as means and standard error. Results for changes in sexual activity between the control group and intervention group were determined using logistic regression, adjusted for baseline sexual activity status. All statistical analyses were performed using R version 3.5.1 (R Core Team [2020], R: A language and environment for statistical computing; R Foundation for Statistical Computing, Vienna, Austria; https://www.R-project.org/).
RESULTS
A total of 158 women were randomized to the study as illustrated in Figure 2, and at a 6-month follow-up, 78 women in the intervention group and 80 women in the control group were analyzed in the intention to treat analysis. A total of 7 participants in the intervention group and 10 participants (different between questionnaires) in the control group did not give full responses to follow-up questionnaires, and they were analyzed as a carry forward form baseline assuming no effect of intervention as a worst-case scenario. Inclusion process and flow of participants. As illustrated in Table 1, the intervention group and the control group were similar at the start of the trial. Demographic Data IQR indicates interquartile range; NS, non significant. The women in the intervention group experienced a strongly significant effect of the psychosexual counseling on their FSFI, DLQI, and WHO-5 scores (see Table 2). At baseline, 33 of the women (42.3%) in the intervention group were not sexually active, compared with 30 of women (37.5%) in the control group. After 6 months, this number was reduced to 19 (24.4%) and 27 (33.8%), respectively. This difference is nonsignificant (p = .09). Results a Comparing likelihood of being sexually inactive at follow-up between treatment group and controls adjusted for baseline values. Table 3 illustrates the significant difference according to the FSFI score in women who are sexually active versus women who are not sexually active at baseline and at follow-up. Both groups were significantly affected by the intervention, although the largest effect was seen in nonsexually active women. Effect of Sexual Counseling on FSFI in Subgroups Table 4 shows intervention group characteristics associated with the effect of treatment on the FSFI in this group. It is shown that a greater number of counseling sessions, counseling with a partner, and vaginal insertion dilation treatment were all associated with greater improvement in the FSFI. However, because treatment was tailored to individual needs, the intervention group, nevertheless, still showed low scores at baseline compared with the control group. Intervention Characteristics a Comparing likelihood of being sexually inactive at follow-up between treatment group and controls adjusted for baseline values. The FSFI contains of 6 subgroups as illustrated in Figure 3. The effect of psychosexual counseling is significant for all subgroups for orgasm (p = .02) and for desire (p = .002), arousal (p = .01), lubrication (p = .002), satisfaction (p = .001), and pain (p = .008). Effect of intervention compared with control on subscales of the FSFI questionnaire. Specific questions defining each subscale are shown to the left. There is a significant difference in the score of sexual difficulties according to the DLQI (p = .034), but no significant difference is demonstrated in symptoms (p = .056), embarrassment (p = .057), shopping and home care (p = .23), clothes (p = .098), social and leisure time (p = .83), sport (p = .73), work or study (p = .12), partners, close friends, or relatives (p = .15), and treatment (p = .14).
CONCLUSIONS
The present study documents the significant effect of psychosexual counseling on the experiences of women with newly diagnosed LS. The results confirm the recommendation in the European guidelines: that sexual dysfunction should be considered in all patients with vulvar conditions, either as the cause of the symptoms, or developed secondary to the symptoms, and assessed whether appropriate. The psychosexual counseling practiced in the present study included more interventions, like medical adjustment, couples therapy, desensitization treatment, etc. This study does not provide knowledge about whether it is individual elements in the treatment that have an effect or whether it is the overall course where the many elements are included. We suggest that the present study, in addition to the positive findings, leads to more studies documenting a possible effect of psychosexual counseling in women with LS.
[ "METHODS", "Participants", "Measures", "Female Sexual Functioning Index", "Dermatology Life Quality Index", "WHO-5 Well-Being Index", "Management—Usual Care", "Management—Intervention" ]
[ "This randomized controlled study was conducted according to the Declaration of Helsinki. It took place from January 2018 to November 2019 in the North Denmark Regional Hospital, Hjoerring, Denmark. The local data authorities and local ethical committee approved the study protocol (N-20170082), and the study was registered at ClinicalTrials.gov under the identifier NCT03419377. Oral and written informed consent was obtained from all participants.\nParticipants One hundred fifty-eight women diagnosed with LS in the outpatient vulvar unit at the Department of Obstetrics and Gynecology, North Denmark Regional Hospital, were included. Inclusion criteria were 18 years of age or greater and newly diagnosed with LS. Exclusion criteria were women who could not speak and understand Danish and women with an untreated psychiatric disorder. A gynecologist that specialized in vulvar diseases diagnosed the women based on their history and on clinical findings. If the clinical diagnosis was uncertain or dysplasia/carcinoma suspected, biopsies were taken.4\nA specialized nurse informed the women about the project and ensured written informed consent was given before participation. From such population, the baseline data, the demographic, and the data found in the questionnaires outlined in the following section were presented in the previously mentioned previous article documenting the participating women's QoL and sexuality.10\nAll eligible women were randomized 1:1 to either an intervention group or a control group. The women completed the questionnaires electronically using Research Electronic Data Capture (REDCap) tools hosted in the North Denmark Region before participation. After 6 months, they received an email with the questionnaires again and were sent reminders if they did not respond.\nOne hundred fifty-eight women diagnosed with LS in the outpatient vulvar unit at the Department of Obstetrics and Gynecology, North Denmark Regional Hospital, were included. Inclusion criteria were 18 years of age or greater and newly diagnosed with LS. Exclusion criteria were women who could not speak and understand Danish and women with an untreated psychiatric disorder. A gynecologist that specialized in vulvar diseases diagnosed the women based on their history and on clinical findings. If the clinical diagnosis was uncertain or dysplasia/carcinoma suspected, biopsies were taken.4\nA specialized nurse informed the women about the project and ensured written informed consent was given before participation. From such population, the baseline data, the demographic, and the data found in the questionnaires outlined in the following section were presented in the previously mentioned previous article documenting the participating women's QoL and sexuality.10\nAll eligible women were randomized 1:1 to either an intervention group or a control group. The women completed the questionnaires electronically using Research Electronic Data Capture (REDCap) tools hosted in the North Denmark Region before participation. After 6 months, they received an email with the questionnaires again and were sent reminders if they did not respond.\nMeasures For assessment of the women's experience in relation to sexuality, dermatology, and QoL in general, the following 3 standardized and validated questionnaires were filled by the women; Female Sexual Function Index (FSFI),13 Dermatology Life Quality Index (DLQI),14 and the WHO-5 Well-Being Index (WHO-5).15\nFor assessment of the women's experience in relation to sexuality, dermatology, and QoL in general, the following 3 standardized and validated questionnaires were filled by the women; Female Sexual Function Index (FSFI),13 Dermatology Life Quality Index (DLQI),14 and the WHO-5 Well-Being Index (WHO-5).15\nFemale Sexual Functioning Index The FSFI is a self-reporting measure of sexual functioning that has been validated through a clinically diagnosed sample of women with female sexual arousal disorder and women with vulvodynia.16,17 The total score ranges from 2 to 36; a higher score indicates better sexual functioning. Sexual inactivity was defined as women answering “no sexual activity” to any question where this was an option.13\nThe FSFI is a self-reporting measure of sexual functioning that has been validated through a clinically diagnosed sample of women with female sexual arousal disorder and women with vulvodynia.16,17 The total score ranges from 2 to 36; a higher score indicates better sexual functioning. Sexual inactivity was defined as women answering “no sexual activity” to any question where this was an option.13\nDermatology Life Quality Index The DLQI is a questionnaire with 10 questions used to measure the impact of skin disease on QoL. It has been validated for dermatology patients.18 The DLQI is calculated by scoring each of the 10 questions with 0–3 points, with a maximum score of 30, in accordance with the guidelines; a lower score indicates better QoL.14\nThe DLQI is a questionnaire with 10 questions used to measure the impact of skin disease on QoL. It has been validated for dermatology patients.18 The DLQI is calculated by scoring each of the 10 questions with 0–3 points, with a maximum score of 30, in accordance with the guidelines; a lower score indicates better QoL.14\nWHO-5 Well-Being Index The WHO-5 is a generic global rating scale measuring subjective well-being. Each of the 5 areas is scored from 0 to 5, where 5 is “all the time” and 0 is “none of the time.” The raw scores range from 0 (no well-being) to 25 (maximal well-being). Because scales measuring health-related QoL are conventionally translated to a percentage scale from 0 (none) to 100 (maximal), it is generally recommended that the raw score is multiplied by 4. A cutoff score of 50 or less on the WHO-5 indicates signs of depression.15\nThe WHO-5 is a generic global rating scale measuring subjective well-being. Each of the 5 areas is scored from 0 to 5, where 5 is “all the time” and 0 is “none of the time.” The raw scores range from 0 (no well-being) to 25 (maximal well-being). Because scales measuring health-related QoL are conventionally translated to a percentage scale from 0 (none) to 100 (maximal), it is generally recommended that the raw score is multiplied by 4. A cutoff score of 50 or less on the WHO-5 indicates signs of depression.15\nManagement—Usual Care When diagnosed, the women received oral information individually, as well as general written information about LS, including symptoms and treatment, the prognosis, and good advice on how to deal with a chronic vulva disorder. The first-line treatment of LS is the use of an ultrapotent topical corticosteroid in combination with a fatty cream and oil massage of the vulva.4 They were taught that LS is not a curable disease but that the treatment is given primarily to reduce symptoms, reduce scarring, and avoid malignancy. Three months after initiating treatment, each woman had a consultation by phone with a nurse specialized in vulva diseases to adjust the treatment regimen, to strengthen compliance and medication adherence, and finally to provide support to the women. The women were then encouraged to be reviewed annually by their general practitioner.\nWhen diagnosed, the women received oral information individually, as well as general written information about LS, including symptoms and treatment, the prognosis, and good advice on how to deal with a chronic vulva disorder. The first-line treatment of LS is the use of an ultrapotent topical corticosteroid in combination with a fatty cream and oil massage of the vulva.4 They were taught that LS is not a curable disease but that the treatment is given primarily to reduce symptoms, reduce scarring, and avoid malignancy. Three months after initiating treatment, each woman had a consultation by phone with a nurse specialized in vulva diseases to adjust the treatment regimen, to strengthen compliance and medication adherence, and finally to provide support to the women. The women were then encouraged to be reviewed annually by their general practitioner.\nManagement—Intervention As well as the above, the women in the intervention group were offered up to 8 individual sessions of psychosexual counseling within 6 months after inclusion. The sessions were based on individual needs and problems. Each session lasted 45 minutes. Women in established relationships were encouraged to invite their partners to participate.\nThe psychosexual counseling (see Figure 1) was tailored and based on biological, psychological, and social aspects, considering religious and cultural background. When the mutual aims of treatment were reached, the patient was discharged.\nStructure and content of psychosexual counselling.\nThe aim of the psychoeducative approach and support was to ensure that the women and their partners obtained sufficient knowledge about LS, including the importance of optimal treatment of LS to strengthen compliance, and that they gained motivation to be responsible and secure in treatment.\nThrough prescription of structured behavioral assignment, sensate focus was performed at home either by the women alone or with their partner. Sensate focus aimed to restore pleasurable sexual activities and for that reason intercourse and breast and genital touching were initially prohibited. When feeling ready and willing to continue, the activities were enriched with genital touching, gradually working up to full intercourse.19\nIn cases where a phobic response to a certain sexual stimulus, for example, painful intercourse, was evident, desensitization treatment was introduced. The woman and/or their partner was encouraged to list the level of distress for the various types of exposure to sexual situations. The intervention was performed by teaching relaxation skills and by gradual exposure, beginning with the least distressing sexual situation. When the women and their partners agreed on having intercourse, vaginal insertion dilation treatment, either with the fingers or dilators in increasing sizes was thoroughly introduced.\nAs well as the above, the women in the intervention group were offered up to 8 individual sessions of psychosexual counseling within 6 months after inclusion. The sessions were based on individual needs and problems. Each session lasted 45 minutes. Women in established relationships were encouraged to invite their partners to participate.\nThe psychosexual counseling (see Figure 1) was tailored and based on biological, psychological, and social aspects, considering religious and cultural background. When the mutual aims of treatment were reached, the patient was discharged.\nStructure and content of psychosexual counselling.\nThe aim of the psychoeducative approach and support was to ensure that the women and their partners obtained sufficient knowledge about LS, including the importance of optimal treatment of LS to strengthen compliance, and that they gained motivation to be responsible and secure in treatment.\nThrough prescription of structured behavioral assignment, sensate focus was performed at home either by the women alone or with their partner. Sensate focus aimed to restore pleasurable sexual activities and for that reason intercourse and breast and genital touching were initially prohibited. When feeling ready and willing to continue, the activities were enriched with genital touching, gradually working up to full intercourse.19\nIn cases where a phobic response to a certain sexual stimulus, for example, painful intercourse, was evident, desensitization treatment was introduced. The woman and/or their partner was encouraged to list the level of distress for the various types of exposure to sexual situations. The intervention was performed by teaching relaxation skills and by gradual exposure, beginning with the least distressing sexual situation. When the women and their partners agreed on having intercourse, vaginal insertion dilation treatment, either with the fingers or dilators in increasing sizes was thoroughly introduced.", "One hundred fifty-eight women diagnosed with LS in the outpatient vulvar unit at the Department of Obstetrics and Gynecology, North Denmark Regional Hospital, were included. Inclusion criteria were 18 years of age or greater and newly diagnosed with LS. Exclusion criteria were women who could not speak and understand Danish and women with an untreated psychiatric disorder. A gynecologist that specialized in vulvar diseases diagnosed the women based on their history and on clinical findings. If the clinical diagnosis was uncertain or dysplasia/carcinoma suspected, biopsies were taken.4\nA specialized nurse informed the women about the project and ensured written informed consent was given before participation. From such population, the baseline data, the demographic, and the data found in the questionnaires outlined in the following section were presented in the previously mentioned previous article documenting the participating women's QoL and sexuality.10\nAll eligible women were randomized 1:1 to either an intervention group or a control group. The women completed the questionnaires electronically using Research Electronic Data Capture (REDCap) tools hosted in the North Denmark Region before participation. After 6 months, they received an email with the questionnaires again and were sent reminders if they did not respond.", "For assessment of the women's experience in relation to sexuality, dermatology, and QoL in general, the following 3 standardized and validated questionnaires were filled by the women; Female Sexual Function Index (FSFI),13 Dermatology Life Quality Index (DLQI),14 and the WHO-5 Well-Being Index (WHO-5).15", "The FSFI is a self-reporting measure of sexual functioning that has been validated through a clinically diagnosed sample of women with female sexual arousal disorder and women with vulvodynia.16,17 The total score ranges from 2 to 36; a higher score indicates better sexual functioning. Sexual inactivity was defined as women answering “no sexual activity” to any question where this was an option.13", "The DLQI is a questionnaire with 10 questions used to measure the impact of skin disease on QoL. It has been validated for dermatology patients.18 The DLQI is calculated by scoring each of the 10 questions with 0–3 points, with a maximum score of 30, in accordance with the guidelines; a lower score indicates better QoL.14", "The WHO-5 is a generic global rating scale measuring subjective well-being. Each of the 5 areas is scored from 0 to 5, where 5 is “all the time” and 0 is “none of the time.” The raw scores range from 0 (no well-being) to 25 (maximal well-being). Because scales measuring health-related QoL are conventionally translated to a percentage scale from 0 (none) to 100 (maximal), it is generally recommended that the raw score is multiplied by 4. A cutoff score of 50 or less on the WHO-5 indicates signs of depression.15", "When diagnosed, the women received oral information individually, as well as general written information about LS, including symptoms and treatment, the prognosis, and good advice on how to deal with a chronic vulva disorder. The first-line treatment of LS is the use of an ultrapotent topical corticosteroid in combination with a fatty cream and oil massage of the vulva.4 They were taught that LS is not a curable disease but that the treatment is given primarily to reduce symptoms, reduce scarring, and avoid malignancy. Three months after initiating treatment, each woman had a consultation by phone with a nurse specialized in vulva diseases to adjust the treatment regimen, to strengthen compliance and medication adherence, and finally to provide support to the women. The women were then encouraged to be reviewed annually by their general practitioner.", "As well as the above, the women in the intervention group were offered up to 8 individual sessions of psychosexual counseling within 6 months after inclusion. The sessions were based on individual needs and problems. Each session lasted 45 minutes. Women in established relationships were encouraged to invite their partners to participate.\nThe psychosexual counseling (see Figure 1) was tailored and based on biological, psychological, and social aspects, considering religious and cultural background. When the mutual aims of treatment were reached, the patient was discharged.\nStructure and content of psychosexual counselling.\nThe aim of the psychoeducative approach and support was to ensure that the women and their partners obtained sufficient knowledge about LS, including the importance of optimal treatment of LS to strengthen compliance, and that they gained motivation to be responsible and secure in treatment.\nThrough prescription of structured behavioral assignment, sensate focus was performed at home either by the women alone or with their partner. Sensate focus aimed to restore pleasurable sexual activities and for that reason intercourse and breast and genital touching were initially prohibited. When feeling ready and willing to continue, the activities were enriched with genital touching, gradually working up to full intercourse.19\nIn cases where a phobic response to a certain sexual stimulus, for example, painful intercourse, was evident, desensitization treatment was introduced. The woman and/or their partner was encouraged to list the level of distress for the various types of exposure to sexual situations. The intervention was performed by teaching relaxation skills and by gradual exposure, beginning with the least distressing sexual situation. When the women and their partners agreed on having intercourse, vaginal insertion dilation treatment, either with the fingers or dilators in increasing sizes was thoroughly introduced." ]
[ "methods", null, null, null, null, null, null, null ]
[ "METHODS", "Participants", "Measures", "Female Sexual Functioning Index", "Dermatology Life Quality Index", "WHO-5 Well-Being Index", "Management—Usual Care", "Management—Intervention", "STATISTICAL METHODS", "RESULTS", "DISCUSSION", "CONCLUSIONS" ]
[ "This randomized controlled study was conducted according to the Declaration of Helsinki. It took place from January 2018 to November 2019 in the North Denmark Regional Hospital, Hjoerring, Denmark. The local data authorities and local ethical committee approved the study protocol (N-20170082), and the study was registered at ClinicalTrials.gov under the identifier NCT03419377. Oral and written informed consent was obtained from all participants.\nParticipants One hundred fifty-eight women diagnosed with LS in the outpatient vulvar unit at the Department of Obstetrics and Gynecology, North Denmark Regional Hospital, were included. Inclusion criteria were 18 years of age or greater and newly diagnosed with LS. Exclusion criteria were women who could not speak and understand Danish and women with an untreated psychiatric disorder. A gynecologist that specialized in vulvar diseases diagnosed the women based on their history and on clinical findings. If the clinical diagnosis was uncertain or dysplasia/carcinoma suspected, biopsies were taken.4\nA specialized nurse informed the women about the project and ensured written informed consent was given before participation. From such population, the baseline data, the demographic, and the data found in the questionnaires outlined in the following section were presented in the previously mentioned previous article documenting the participating women's QoL and sexuality.10\nAll eligible women were randomized 1:1 to either an intervention group or a control group. The women completed the questionnaires electronically using Research Electronic Data Capture (REDCap) tools hosted in the North Denmark Region before participation. After 6 months, they received an email with the questionnaires again and were sent reminders if they did not respond.\nOne hundred fifty-eight women diagnosed with LS in the outpatient vulvar unit at the Department of Obstetrics and Gynecology, North Denmark Regional Hospital, were included. Inclusion criteria were 18 years of age or greater and newly diagnosed with LS. Exclusion criteria were women who could not speak and understand Danish and women with an untreated psychiatric disorder. A gynecologist that specialized in vulvar diseases diagnosed the women based on their history and on clinical findings. If the clinical diagnosis was uncertain or dysplasia/carcinoma suspected, biopsies were taken.4\nA specialized nurse informed the women about the project and ensured written informed consent was given before participation. From such population, the baseline data, the demographic, and the data found in the questionnaires outlined in the following section were presented in the previously mentioned previous article documenting the participating women's QoL and sexuality.10\nAll eligible women were randomized 1:1 to either an intervention group or a control group. The women completed the questionnaires electronically using Research Electronic Data Capture (REDCap) tools hosted in the North Denmark Region before participation. After 6 months, they received an email with the questionnaires again and were sent reminders if they did not respond.\nMeasures For assessment of the women's experience in relation to sexuality, dermatology, and QoL in general, the following 3 standardized and validated questionnaires were filled by the women; Female Sexual Function Index (FSFI),13 Dermatology Life Quality Index (DLQI),14 and the WHO-5 Well-Being Index (WHO-5).15\nFor assessment of the women's experience in relation to sexuality, dermatology, and QoL in general, the following 3 standardized and validated questionnaires were filled by the women; Female Sexual Function Index (FSFI),13 Dermatology Life Quality Index (DLQI),14 and the WHO-5 Well-Being Index (WHO-5).15\nFemale Sexual Functioning Index The FSFI is a self-reporting measure of sexual functioning that has been validated through a clinically diagnosed sample of women with female sexual arousal disorder and women with vulvodynia.16,17 The total score ranges from 2 to 36; a higher score indicates better sexual functioning. Sexual inactivity was defined as women answering “no sexual activity” to any question where this was an option.13\nThe FSFI is a self-reporting measure of sexual functioning that has been validated through a clinically diagnosed sample of women with female sexual arousal disorder and women with vulvodynia.16,17 The total score ranges from 2 to 36; a higher score indicates better sexual functioning. Sexual inactivity was defined as women answering “no sexual activity” to any question where this was an option.13\nDermatology Life Quality Index The DLQI is a questionnaire with 10 questions used to measure the impact of skin disease on QoL. It has been validated for dermatology patients.18 The DLQI is calculated by scoring each of the 10 questions with 0–3 points, with a maximum score of 30, in accordance with the guidelines; a lower score indicates better QoL.14\nThe DLQI is a questionnaire with 10 questions used to measure the impact of skin disease on QoL. It has been validated for dermatology patients.18 The DLQI is calculated by scoring each of the 10 questions with 0–3 points, with a maximum score of 30, in accordance with the guidelines; a lower score indicates better QoL.14\nWHO-5 Well-Being Index The WHO-5 is a generic global rating scale measuring subjective well-being. Each of the 5 areas is scored from 0 to 5, where 5 is “all the time” and 0 is “none of the time.” The raw scores range from 0 (no well-being) to 25 (maximal well-being). Because scales measuring health-related QoL are conventionally translated to a percentage scale from 0 (none) to 100 (maximal), it is generally recommended that the raw score is multiplied by 4. A cutoff score of 50 or less on the WHO-5 indicates signs of depression.15\nThe WHO-5 is a generic global rating scale measuring subjective well-being. Each of the 5 areas is scored from 0 to 5, where 5 is “all the time” and 0 is “none of the time.” The raw scores range from 0 (no well-being) to 25 (maximal well-being). Because scales measuring health-related QoL are conventionally translated to a percentage scale from 0 (none) to 100 (maximal), it is generally recommended that the raw score is multiplied by 4. A cutoff score of 50 or less on the WHO-5 indicates signs of depression.15\nManagement—Usual Care When diagnosed, the women received oral information individually, as well as general written information about LS, including symptoms and treatment, the prognosis, and good advice on how to deal with a chronic vulva disorder. The first-line treatment of LS is the use of an ultrapotent topical corticosteroid in combination with a fatty cream and oil massage of the vulva.4 They were taught that LS is not a curable disease but that the treatment is given primarily to reduce symptoms, reduce scarring, and avoid malignancy. Three months after initiating treatment, each woman had a consultation by phone with a nurse specialized in vulva diseases to adjust the treatment regimen, to strengthen compliance and medication adherence, and finally to provide support to the women. The women were then encouraged to be reviewed annually by their general practitioner.\nWhen diagnosed, the women received oral information individually, as well as general written information about LS, including symptoms and treatment, the prognosis, and good advice on how to deal with a chronic vulva disorder. The first-line treatment of LS is the use of an ultrapotent topical corticosteroid in combination with a fatty cream and oil massage of the vulva.4 They were taught that LS is not a curable disease but that the treatment is given primarily to reduce symptoms, reduce scarring, and avoid malignancy. Three months after initiating treatment, each woman had a consultation by phone with a nurse specialized in vulva diseases to adjust the treatment regimen, to strengthen compliance and medication adherence, and finally to provide support to the women. The women were then encouraged to be reviewed annually by their general practitioner.\nManagement—Intervention As well as the above, the women in the intervention group were offered up to 8 individual sessions of psychosexual counseling within 6 months after inclusion. The sessions were based on individual needs and problems. Each session lasted 45 minutes. Women in established relationships were encouraged to invite their partners to participate.\nThe psychosexual counseling (see Figure 1) was tailored and based on biological, psychological, and social aspects, considering religious and cultural background. When the mutual aims of treatment were reached, the patient was discharged.\nStructure and content of psychosexual counselling.\nThe aim of the psychoeducative approach and support was to ensure that the women and their partners obtained sufficient knowledge about LS, including the importance of optimal treatment of LS to strengthen compliance, and that they gained motivation to be responsible and secure in treatment.\nThrough prescription of structured behavioral assignment, sensate focus was performed at home either by the women alone or with their partner. Sensate focus aimed to restore pleasurable sexual activities and for that reason intercourse and breast and genital touching were initially prohibited. When feeling ready and willing to continue, the activities were enriched with genital touching, gradually working up to full intercourse.19\nIn cases where a phobic response to a certain sexual stimulus, for example, painful intercourse, was evident, desensitization treatment was introduced. The woman and/or their partner was encouraged to list the level of distress for the various types of exposure to sexual situations. The intervention was performed by teaching relaxation skills and by gradual exposure, beginning with the least distressing sexual situation. When the women and their partners agreed on having intercourse, vaginal insertion dilation treatment, either with the fingers or dilators in increasing sizes was thoroughly introduced.\nAs well as the above, the women in the intervention group were offered up to 8 individual sessions of psychosexual counseling within 6 months after inclusion. The sessions were based on individual needs and problems. Each session lasted 45 minutes. Women in established relationships were encouraged to invite their partners to participate.\nThe psychosexual counseling (see Figure 1) was tailored and based on biological, psychological, and social aspects, considering religious and cultural background. When the mutual aims of treatment were reached, the patient was discharged.\nStructure and content of psychosexual counselling.\nThe aim of the psychoeducative approach and support was to ensure that the women and their partners obtained sufficient knowledge about LS, including the importance of optimal treatment of LS to strengthen compliance, and that they gained motivation to be responsible and secure in treatment.\nThrough prescription of structured behavioral assignment, sensate focus was performed at home either by the women alone or with their partner. Sensate focus aimed to restore pleasurable sexual activities and for that reason intercourse and breast and genital touching were initially prohibited. When feeling ready and willing to continue, the activities were enriched with genital touching, gradually working up to full intercourse.19\nIn cases where a phobic response to a certain sexual stimulus, for example, painful intercourse, was evident, desensitization treatment was introduced. The woman and/or their partner was encouraged to list the level of distress for the various types of exposure to sexual situations. The intervention was performed by teaching relaxation skills and by gradual exposure, beginning with the least distressing sexual situation. When the women and their partners agreed on having intercourse, vaginal insertion dilation treatment, either with the fingers or dilators in increasing sizes was thoroughly introduced.", "One hundred fifty-eight women diagnosed with LS in the outpatient vulvar unit at the Department of Obstetrics and Gynecology, North Denmark Regional Hospital, were included. Inclusion criteria were 18 years of age or greater and newly diagnosed with LS. Exclusion criteria were women who could not speak and understand Danish and women with an untreated psychiatric disorder. A gynecologist that specialized in vulvar diseases diagnosed the women based on their history and on clinical findings. If the clinical diagnosis was uncertain or dysplasia/carcinoma suspected, biopsies were taken.4\nA specialized nurse informed the women about the project and ensured written informed consent was given before participation. From such population, the baseline data, the demographic, and the data found in the questionnaires outlined in the following section were presented in the previously mentioned previous article documenting the participating women's QoL and sexuality.10\nAll eligible women were randomized 1:1 to either an intervention group or a control group. The women completed the questionnaires electronically using Research Electronic Data Capture (REDCap) tools hosted in the North Denmark Region before participation. After 6 months, they received an email with the questionnaires again and were sent reminders if they did not respond.", "For assessment of the women's experience in relation to sexuality, dermatology, and QoL in general, the following 3 standardized and validated questionnaires were filled by the women; Female Sexual Function Index (FSFI),13 Dermatology Life Quality Index (DLQI),14 and the WHO-5 Well-Being Index (WHO-5).15", "The FSFI is a self-reporting measure of sexual functioning that has been validated through a clinically diagnosed sample of women with female sexual arousal disorder and women with vulvodynia.16,17 The total score ranges from 2 to 36; a higher score indicates better sexual functioning. Sexual inactivity was defined as women answering “no sexual activity” to any question where this was an option.13", "The DLQI is a questionnaire with 10 questions used to measure the impact of skin disease on QoL. It has been validated for dermatology patients.18 The DLQI is calculated by scoring each of the 10 questions with 0–3 points, with a maximum score of 30, in accordance with the guidelines; a lower score indicates better QoL.14", "The WHO-5 is a generic global rating scale measuring subjective well-being. Each of the 5 areas is scored from 0 to 5, where 5 is “all the time” and 0 is “none of the time.” The raw scores range from 0 (no well-being) to 25 (maximal well-being). Because scales measuring health-related QoL are conventionally translated to a percentage scale from 0 (none) to 100 (maximal), it is generally recommended that the raw score is multiplied by 4. A cutoff score of 50 or less on the WHO-5 indicates signs of depression.15", "When diagnosed, the women received oral information individually, as well as general written information about LS, including symptoms and treatment, the prognosis, and good advice on how to deal with a chronic vulva disorder. The first-line treatment of LS is the use of an ultrapotent topical corticosteroid in combination with a fatty cream and oil massage of the vulva.4 They were taught that LS is not a curable disease but that the treatment is given primarily to reduce symptoms, reduce scarring, and avoid malignancy. Three months after initiating treatment, each woman had a consultation by phone with a nurse specialized in vulva diseases to adjust the treatment regimen, to strengthen compliance and medication adherence, and finally to provide support to the women. The women were then encouraged to be reviewed annually by their general practitioner.", "As well as the above, the women in the intervention group were offered up to 8 individual sessions of psychosexual counseling within 6 months after inclusion. The sessions were based on individual needs and problems. Each session lasted 45 minutes. Women in established relationships were encouraged to invite their partners to participate.\nThe psychosexual counseling (see Figure 1) was tailored and based on biological, psychological, and social aspects, considering religious and cultural background. When the mutual aims of treatment were reached, the patient was discharged.\nStructure and content of psychosexual counselling.\nThe aim of the psychoeducative approach and support was to ensure that the women and their partners obtained sufficient knowledge about LS, including the importance of optimal treatment of LS to strengthen compliance, and that they gained motivation to be responsible and secure in treatment.\nThrough prescription of structured behavioral assignment, sensate focus was performed at home either by the women alone or with their partner. Sensate focus aimed to restore pleasurable sexual activities and for that reason intercourse and breast and genital touching were initially prohibited. When feeling ready and willing to continue, the activities were enriched with genital touching, gradually working up to full intercourse.19\nIn cases where a phobic response to a certain sexual stimulus, for example, painful intercourse, was evident, desensitization treatment was introduced. The woman and/or their partner was encouraged to list the level of distress for the various types of exposure to sexual situations. The intervention was performed by teaching relaxation skills and by gradual exposure, beginning with the least distressing sexual situation. When the women and their partners agreed on having intercourse, vaginal insertion dilation treatment, either with the fingers or dilators in increasing sizes was thoroughly introduced.", "We based our a priori sample size calculations on available evidence for the DLQI, giving a minimal important difference of 2.97 and an SD of 5.5.20 To detect this difference at 90% power and an α level of 5% we determined that a total of 144 participants (72 in each group) were needed to complete the trial.\nBaseline characteristics were reported as numbers and percentages for categorical data and, for continuous data, as means and SDs if normally distributed, or medians and interquartile range if not normally distributed.\nAll analyses of results after the intervention period were performed as intention to treat analyses. Missing outcome data were set to baseline values, assuming no difference from baseline. To compare the differences between control and intervention groups, as well as across subgroups, we used analysis of covariance (ANCOVA) adjusted for the baseline value of the relevant outcome. A p value less than .05 was considered statistically significant. The mean difference from baseline with 95% CIs within respective groups was determined using paired t tests. Subscale results for the FSFI and DLQI were presented graphically as means and standard error. Results for changes in sexual activity between the control group and intervention group were determined using logistic regression, adjusted for baseline sexual activity status.\nAll statistical analyses were performed using R version 3.5.1 (R Core Team [2020], R: A language and environment for statistical computing; R Foundation for Statistical Computing, Vienna, Austria; https://www.R-project.org/).", "A total of 158 women were randomized to the study as illustrated in Figure 2, and at a 6-month follow-up, 78 women in the intervention group and 80 women in the control group were analyzed in the intention to treat analysis. A total of 7 participants in the intervention group and 10 participants (different between questionnaires) in the control group did not give full responses to follow-up questionnaires, and they were analyzed as a carry forward form baseline assuming no effect of intervention as a worst-case scenario.\nInclusion process and flow of participants.\nAs illustrated in Table 1, the intervention group and the control group were similar at the start of the trial.\nDemographic Data\nIQR indicates interquartile range; NS, non significant.\nThe women in the intervention group experienced a strongly significant effect of the psychosexual counseling on their FSFI, DLQI, and WHO-5 scores (see Table 2). At baseline, 33 of the women (42.3%) in the intervention group were not sexually active, compared with 30 of women (37.5%) in the control group. After 6 months, this number was reduced to 19 (24.4%) and 27 (33.8%), respectively. This difference is nonsignificant (p = .09).\nResults\na Comparing likelihood of being sexually inactive at follow-up between treatment group and controls adjusted for baseline values.\nTable 3 illustrates the significant difference according to the FSFI score in women who are sexually active versus women who are not sexually active at baseline and at follow-up. Both groups were significantly affected by the intervention, although the largest effect was seen in nonsexually active women.\nEffect of Sexual Counseling on FSFI in Subgroups\nTable 4 shows intervention group characteristics associated with the effect of treatment on the FSFI in this group. It is shown that a greater number of counseling sessions, counseling with a partner, and vaginal insertion dilation treatment were all associated with greater improvement in the FSFI. However, because treatment was tailored to individual needs, the intervention group, nevertheless, still showed low scores at baseline compared with the control group.\nIntervention Characteristics\na Comparing likelihood of being sexually inactive at follow-up between treatment group and controls adjusted for baseline values.\nThe FSFI contains of 6 subgroups as illustrated in Figure 3. The effect of psychosexual counseling is significant for all subgroups for orgasm (p = .02) and for desire (p = .002), arousal (p = .01), lubrication (p = .002), satisfaction (p = .001), and pain (p = .008).\nEffect of intervention compared with control on subscales of the FSFI questionnaire. Specific questions defining each subscale are shown to the left.\nThere is a significant difference in the score of sexual difficulties according to the DLQI (p = .034), but no significant difference is demonstrated in symptoms (p = .056), embarrassment (p = .057), shopping and home care (p = .23), clothes (p = .098), social and leisure time (p = .83), sport (p = .73), work or study (p = .12), partners, close friends, or relatives (p = .15), and treatment (p = .14).", "The present study is the first study examining the effect of psychosexual counseling on sexuality and QoL in women with LS. The results show a significant effect on sexuality, QoL, and well-being. Despite the significant positive effect of the intervention, however, it is worth noting that the majority of the participating women still score less than 26.55 on the FSFI, showing that these women have a need for sexual treatment.21\nWe showed that psychosexual counseling in combination with usual care significantly improved QoL (measured by the DLQI) compared with usual care alone. It should be mentioned that the only DLQI question that was significant different between groups was related to sexual functioning. This supports the view that the primary gain of psychosexual counseling in the treatment of LS is improved sexual functioning and thereby QoL. As we have previously documented, the sexual functioning of women with LS is severely impacted, and thus, improvement in this domain may also be assumed to improve overall QoL. To further support this, we also showed improved overall well-being as measured by the WHO-5.\nThe usual care management of LS is a topical treatment according to the European guidelines, and it is well documented that this is effective for symptoms control in women with LS.4 However, the treatments may not result in improved sexual function.8 In accordance with these findings, the present study documents that while both groups of women reported lower degrees of itching, soreness, pain, and stinging on the DLQI (see Figure 4), the women who were only treated with an ultrapotent topical corticosteroid in combination with fatty cream still experienced almost unchanged pain during sexual intercourse after 6 months of treatment according to the FSFI (see Figure 3). In comparison, the women in the intervention group experienced significantly less pain during sexual intercourse and improved overall sexual function after 6 months of psychosexual counseling. No other studies examining the effect of psychosexual counseling in women with LS have been identified, but a cognitive behavioral approach for reducing vulvovaginal pain in women with sexual dysfunction has been found to be beneficial, especially in women with vulvodynia.22–24 Intimacy seems to be an important factor for the well-being among couples or individuals who are struggling with sexual dysfunction and health problems.25\nFigure shows effect of intervention compared with control on questions of the DLQI.\nWe found an association between the number of sessions and overall effect on sexuality, indicating a dose-response relationship of psychosexual counseling. Furthermore, we found no signs of ceiling effects and it is possible that some women might continue to benefit even beyond 8 sessions. However, as the number of sessions was tailored to individual needs, this secondary analysis is only exploratory, and results need to be confirmed in future randomized controlled trials. Our results do not allow us to establish the optimum number of sessions or whether the number of sessions should be individually tailored or standardized, and we have found no previous literature exploring this, thus underlining the need for future research.\nPartners were encouraged to participate in the intervention in this study, and it is documented that women who involved their partners in the treatment found that the treatment was significantly more effective than women who did not involve their partners. This result was confirmed by a former study documenting that for couples experiencing sexual dysfunction or sexual health problems, intimacy appeared to facilitate communication and the ability to express sexual needs, and thereby helped renew and renegotiate their sexuality.25\nA combination of sexual therapy and vaginal dilation treatment has been found to be beneficial, especially in women with vulvodynia who became able to regain the confidence to engage in sexual intercourse.24 This present study confirmed that vaginal dilation treatment was associated with greater improvement in sexual function than psychosexual counseling alone. Another approach that seemed to enhance treatment was an explicit and systematic approach focusing on exposure to stimuli that had been feared.26 A Canadian study of women with provoked vestibulodynia showed that higher pain self-efficacy was associated with lower pain experience during sexual intercourse and with better sexual function.25 Both woman and partner have a role in the experience of painful sexual intercourse, and increasing partner involvement in treatment may serve to diminish feelings of guilt, and it may help in raising motivation toward changes and redefinition of their mutual sexual relationship.27 The reason why the partner should be involved is that he or she gains more knowledge of the many causes of pain, and this communication has been found to have a positive impact on the overall coping strategies.28 Even when the partner was not directly participating in the intervention process, the woman was encouraged to improve her communication regarding her pain experience and to negotiate changes in her partner’s behavior when it comes to pain.28 Women without a partner could easily benefit from solo sensitization treatment, aiming to increase a positive relationship with their bodies and the erogenous zones.25\nThere are several strengths of the present study. The randomization of the patients and the fact there was a very high response rate to the questionnaires is one strength. Another strength is the use of standardized and validated questionnaires. One of the limitations in the present study is the missing information around reasons for women not included in the study. Another limitation is that sexually related personal distress was not measured. Knowledge about a possible diagnostic delay of LS, the severity of the disease, or a possible sexual dysfunction before the onset of LS is also not assembled but was discussed during the sessions and as a basic part of the sexual history. Finally, it is important to consider that results exploring treatment effects based on number of sessions, partner involvement, and dilation treatment are all secondary analyses not benefiting from the initial randomization. Although we adjusted all analyses for baseline values, these results may still be subject to residual confounding and should be interpreted as associations rather than as causation. Therefore, these results also warrant confirmation through further research.", "The present study documents the significant effect of psychosexual counseling on the experiences of women with newly diagnosed LS. The results confirm the recommendation in the European guidelines: that sexual dysfunction should be considered in all patients with vulvar conditions, either as the cause of the symptoms, or developed secondary to the symptoms, and assessed whether appropriate. The psychosexual counseling practiced in the present study included more interventions, like medical adjustment, couples therapy, desensitization treatment, etc. This study does not provide knowledge about whether it is individual elements in the treatment that have an effect or whether it is the overall course where the many elements are included. We suggest that the present study, in addition to the positive findings, leads to more studies documenting a possible effect of psychosexual counseling in women with LS." ]
[ "methods", null, null, null, null, null, null, null, "methods", "results", "discussions", "conclusions" ]
[ "vulvar lichen sclerosus", "sexual dysfunction", "sexual behavior", "quality of life", "sexual counseling", "intervention" ]
METHODS: This randomized controlled study was conducted according to the Declaration of Helsinki. It took place from January 2018 to November 2019 in the North Denmark Regional Hospital, Hjoerring, Denmark. The local data authorities and local ethical committee approved the study protocol (N-20170082), and the study was registered at ClinicalTrials.gov under the identifier NCT03419377. Oral and written informed consent was obtained from all participants. Participants One hundred fifty-eight women diagnosed with LS in the outpatient vulvar unit at the Department of Obstetrics and Gynecology, North Denmark Regional Hospital, were included. Inclusion criteria were 18 years of age or greater and newly diagnosed with LS. Exclusion criteria were women who could not speak and understand Danish and women with an untreated psychiatric disorder. A gynecologist that specialized in vulvar diseases diagnosed the women based on their history and on clinical findings. If the clinical diagnosis was uncertain or dysplasia/carcinoma suspected, biopsies were taken.4 A specialized nurse informed the women about the project and ensured written informed consent was given before participation. From such population, the baseline data, the demographic, and the data found in the questionnaires outlined in the following section were presented in the previously mentioned previous article documenting the participating women's QoL and sexuality.10 All eligible women were randomized 1:1 to either an intervention group or a control group. The women completed the questionnaires electronically using Research Electronic Data Capture (REDCap) tools hosted in the North Denmark Region before participation. After 6 months, they received an email with the questionnaires again and were sent reminders if they did not respond. One hundred fifty-eight women diagnosed with LS in the outpatient vulvar unit at the Department of Obstetrics and Gynecology, North Denmark Regional Hospital, were included. Inclusion criteria were 18 years of age or greater and newly diagnosed with LS. Exclusion criteria were women who could not speak and understand Danish and women with an untreated psychiatric disorder. A gynecologist that specialized in vulvar diseases diagnosed the women based on their history and on clinical findings. If the clinical diagnosis was uncertain or dysplasia/carcinoma suspected, biopsies were taken.4 A specialized nurse informed the women about the project and ensured written informed consent was given before participation. From such population, the baseline data, the demographic, and the data found in the questionnaires outlined in the following section were presented in the previously mentioned previous article documenting the participating women's QoL and sexuality.10 All eligible women were randomized 1:1 to either an intervention group or a control group. The women completed the questionnaires electronically using Research Electronic Data Capture (REDCap) tools hosted in the North Denmark Region before participation. After 6 months, they received an email with the questionnaires again and were sent reminders if they did not respond. Measures For assessment of the women's experience in relation to sexuality, dermatology, and QoL in general, the following 3 standardized and validated questionnaires were filled by the women; Female Sexual Function Index (FSFI),13 Dermatology Life Quality Index (DLQI),14 and the WHO-5 Well-Being Index (WHO-5).15 For assessment of the women's experience in relation to sexuality, dermatology, and QoL in general, the following 3 standardized and validated questionnaires were filled by the women; Female Sexual Function Index (FSFI),13 Dermatology Life Quality Index (DLQI),14 and the WHO-5 Well-Being Index (WHO-5).15 Female Sexual Functioning Index The FSFI is a self-reporting measure of sexual functioning that has been validated through a clinically diagnosed sample of women with female sexual arousal disorder and women with vulvodynia.16,17 The total score ranges from 2 to 36; a higher score indicates better sexual functioning. Sexual inactivity was defined as women answering “no sexual activity” to any question where this was an option.13 The FSFI is a self-reporting measure of sexual functioning that has been validated through a clinically diagnosed sample of women with female sexual arousal disorder and women with vulvodynia.16,17 The total score ranges from 2 to 36; a higher score indicates better sexual functioning. Sexual inactivity was defined as women answering “no sexual activity” to any question where this was an option.13 Dermatology Life Quality Index The DLQI is a questionnaire with 10 questions used to measure the impact of skin disease on QoL. It has been validated for dermatology patients.18 The DLQI is calculated by scoring each of the 10 questions with 0–3 points, with a maximum score of 30, in accordance with the guidelines; a lower score indicates better QoL.14 The DLQI is a questionnaire with 10 questions used to measure the impact of skin disease on QoL. It has been validated for dermatology patients.18 The DLQI is calculated by scoring each of the 10 questions with 0–3 points, with a maximum score of 30, in accordance with the guidelines; a lower score indicates better QoL.14 WHO-5 Well-Being Index The WHO-5 is a generic global rating scale measuring subjective well-being. Each of the 5 areas is scored from 0 to 5, where 5 is “all the time” and 0 is “none of the time.” The raw scores range from 0 (no well-being) to 25 (maximal well-being). Because scales measuring health-related QoL are conventionally translated to a percentage scale from 0 (none) to 100 (maximal), it is generally recommended that the raw score is multiplied by 4. A cutoff score of 50 or less on the WHO-5 indicates signs of depression.15 The WHO-5 is a generic global rating scale measuring subjective well-being. Each of the 5 areas is scored from 0 to 5, where 5 is “all the time” and 0 is “none of the time.” The raw scores range from 0 (no well-being) to 25 (maximal well-being). Because scales measuring health-related QoL are conventionally translated to a percentage scale from 0 (none) to 100 (maximal), it is generally recommended that the raw score is multiplied by 4. A cutoff score of 50 or less on the WHO-5 indicates signs of depression.15 Management—Usual Care When diagnosed, the women received oral information individually, as well as general written information about LS, including symptoms and treatment, the prognosis, and good advice on how to deal with a chronic vulva disorder. The first-line treatment of LS is the use of an ultrapotent topical corticosteroid in combination with a fatty cream and oil massage of the vulva.4 They were taught that LS is not a curable disease but that the treatment is given primarily to reduce symptoms, reduce scarring, and avoid malignancy. Three months after initiating treatment, each woman had a consultation by phone with a nurse specialized in vulva diseases to adjust the treatment regimen, to strengthen compliance and medication adherence, and finally to provide support to the women. The women were then encouraged to be reviewed annually by their general practitioner. When diagnosed, the women received oral information individually, as well as general written information about LS, including symptoms and treatment, the prognosis, and good advice on how to deal with a chronic vulva disorder. The first-line treatment of LS is the use of an ultrapotent topical corticosteroid in combination with a fatty cream and oil massage of the vulva.4 They were taught that LS is not a curable disease but that the treatment is given primarily to reduce symptoms, reduce scarring, and avoid malignancy. Three months after initiating treatment, each woman had a consultation by phone with a nurse specialized in vulva diseases to adjust the treatment regimen, to strengthen compliance and medication adherence, and finally to provide support to the women. The women were then encouraged to be reviewed annually by their general practitioner. Management—Intervention As well as the above, the women in the intervention group were offered up to 8 individual sessions of psychosexual counseling within 6 months after inclusion. The sessions were based on individual needs and problems. Each session lasted 45 minutes. Women in established relationships were encouraged to invite their partners to participate. The psychosexual counseling (see Figure 1) was tailored and based on biological, psychological, and social aspects, considering religious and cultural background. When the mutual aims of treatment were reached, the patient was discharged. Structure and content of psychosexual counselling. The aim of the psychoeducative approach and support was to ensure that the women and their partners obtained sufficient knowledge about LS, including the importance of optimal treatment of LS to strengthen compliance, and that they gained motivation to be responsible and secure in treatment. Through prescription of structured behavioral assignment, sensate focus was performed at home either by the women alone or with their partner. Sensate focus aimed to restore pleasurable sexual activities and for that reason intercourse and breast and genital touching were initially prohibited. When feeling ready and willing to continue, the activities were enriched with genital touching, gradually working up to full intercourse.19 In cases where a phobic response to a certain sexual stimulus, for example, painful intercourse, was evident, desensitization treatment was introduced. The woman and/or their partner was encouraged to list the level of distress for the various types of exposure to sexual situations. The intervention was performed by teaching relaxation skills and by gradual exposure, beginning with the least distressing sexual situation. When the women and their partners agreed on having intercourse, vaginal insertion dilation treatment, either with the fingers or dilators in increasing sizes was thoroughly introduced. As well as the above, the women in the intervention group were offered up to 8 individual sessions of psychosexual counseling within 6 months after inclusion. The sessions were based on individual needs and problems. Each session lasted 45 minutes. Women in established relationships were encouraged to invite their partners to participate. The psychosexual counseling (see Figure 1) was tailored and based on biological, psychological, and social aspects, considering religious and cultural background. When the mutual aims of treatment were reached, the patient was discharged. Structure and content of psychosexual counselling. The aim of the psychoeducative approach and support was to ensure that the women and their partners obtained sufficient knowledge about LS, including the importance of optimal treatment of LS to strengthen compliance, and that they gained motivation to be responsible and secure in treatment. Through prescription of structured behavioral assignment, sensate focus was performed at home either by the women alone or with their partner. Sensate focus aimed to restore pleasurable sexual activities and for that reason intercourse and breast and genital touching were initially prohibited. When feeling ready and willing to continue, the activities were enriched with genital touching, gradually working up to full intercourse.19 In cases where a phobic response to a certain sexual stimulus, for example, painful intercourse, was evident, desensitization treatment was introduced. The woman and/or their partner was encouraged to list the level of distress for the various types of exposure to sexual situations. The intervention was performed by teaching relaxation skills and by gradual exposure, beginning with the least distressing sexual situation. When the women and their partners agreed on having intercourse, vaginal insertion dilation treatment, either with the fingers or dilators in increasing sizes was thoroughly introduced. Participants: One hundred fifty-eight women diagnosed with LS in the outpatient vulvar unit at the Department of Obstetrics and Gynecology, North Denmark Regional Hospital, were included. Inclusion criteria were 18 years of age or greater and newly diagnosed with LS. Exclusion criteria were women who could not speak and understand Danish and women with an untreated psychiatric disorder. A gynecologist that specialized in vulvar diseases diagnosed the women based on their history and on clinical findings. If the clinical diagnosis was uncertain or dysplasia/carcinoma suspected, biopsies were taken.4 A specialized nurse informed the women about the project and ensured written informed consent was given before participation. From such population, the baseline data, the demographic, and the data found in the questionnaires outlined in the following section were presented in the previously mentioned previous article documenting the participating women's QoL and sexuality.10 All eligible women were randomized 1:1 to either an intervention group or a control group. The women completed the questionnaires electronically using Research Electronic Data Capture (REDCap) tools hosted in the North Denmark Region before participation. After 6 months, they received an email with the questionnaires again and were sent reminders if they did not respond. Measures: For assessment of the women's experience in relation to sexuality, dermatology, and QoL in general, the following 3 standardized and validated questionnaires were filled by the women; Female Sexual Function Index (FSFI),13 Dermatology Life Quality Index (DLQI),14 and the WHO-5 Well-Being Index (WHO-5).15 Female Sexual Functioning Index: The FSFI is a self-reporting measure of sexual functioning that has been validated through a clinically diagnosed sample of women with female sexual arousal disorder and women with vulvodynia.16,17 The total score ranges from 2 to 36; a higher score indicates better sexual functioning. Sexual inactivity was defined as women answering “no sexual activity” to any question where this was an option.13 Dermatology Life Quality Index: The DLQI is a questionnaire with 10 questions used to measure the impact of skin disease on QoL. It has been validated for dermatology patients.18 The DLQI is calculated by scoring each of the 10 questions with 0–3 points, with a maximum score of 30, in accordance with the guidelines; a lower score indicates better QoL.14 WHO-5 Well-Being Index: The WHO-5 is a generic global rating scale measuring subjective well-being. Each of the 5 areas is scored from 0 to 5, where 5 is “all the time” and 0 is “none of the time.” The raw scores range from 0 (no well-being) to 25 (maximal well-being). Because scales measuring health-related QoL are conventionally translated to a percentage scale from 0 (none) to 100 (maximal), it is generally recommended that the raw score is multiplied by 4. A cutoff score of 50 or less on the WHO-5 indicates signs of depression.15 Management—Usual Care: When diagnosed, the women received oral information individually, as well as general written information about LS, including symptoms and treatment, the prognosis, and good advice on how to deal with a chronic vulva disorder. The first-line treatment of LS is the use of an ultrapotent topical corticosteroid in combination with a fatty cream and oil massage of the vulva.4 They were taught that LS is not a curable disease but that the treatment is given primarily to reduce symptoms, reduce scarring, and avoid malignancy. Three months after initiating treatment, each woman had a consultation by phone with a nurse specialized in vulva diseases to adjust the treatment regimen, to strengthen compliance and medication adherence, and finally to provide support to the women. The women were then encouraged to be reviewed annually by their general practitioner. Management—Intervention: As well as the above, the women in the intervention group were offered up to 8 individual sessions of psychosexual counseling within 6 months after inclusion. The sessions were based on individual needs and problems. Each session lasted 45 minutes. Women in established relationships were encouraged to invite their partners to participate. The psychosexual counseling (see Figure 1) was tailored and based on biological, psychological, and social aspects, considering religious and cultural background. When the mutual aims of treatment were reached, the patient was discharged. Structure and content of psychosexual counselling. The aim of the psychoeducative approach and support was to ensure that the women and their partners obtained sufficient knowledge about LS, including the importance of optimal treatment of LS to strengthen compliance, and that they gained motivation to be responsible and secure in treatment. Through prescription of structured behavioral assignment, sensate focus was performed at home either by the women alone or with their partner. Sensate focus aimed to restore pleasurable sexual activities and for that reason intercourse and breast and genital touching were initially prohibited. When feeling ready and willing to continue, the activities were enriched with genital touching, gradually working up to full intercourse.19 In cases where a phobic response to a certain sexual stimulus, for example, painful intercourse, was evident, desensitization treatment was introduced. The woman and/or their partner was encouraged to list the level of distress for the various types of exposure to sexual situations. The intervention was performed by teaching relaxation skills and by gradual exposure, beginning with the least distressing sexual situation. When the women and their partners agreed on having intercourse, vaginal insertion dilation treatment, either with the fingers or dilators in increasing sizes was thoroughly introduced. STATISTICAL METHODS: We based our a priori sample size calculations on available evidence for the DLQI, giving a minimal important difference of 2.97 and an SD of 5.5.20 To detect this difference at 90% power and an α level of 5% we determined that a total of 144 participants (72 in each group) were needed to complete the trial. Baseline characteristics were reported as numbers and percentages for categorical data and, for continuous data, as means and SDs if normally distributed, or medians and interquartile range if not normally distributed. All analyses of results after the intervention period were performed as intention to treat analyses. Missing outcome data were set to baseline values, assuming no difference from baseline. To compare the differences between control and intervention groups, as well as across subgroups, we used analysis of covariance (ANCOVA) adjusted for the baseline value of the relevant outcome. A p value less than .05 was considered statistically significant. The mean difference from baseline with 95% CIs within respective groups was determined using paired t tests. Subscale results for the FSFI and DLQI were presented graphically as means and standard error. Results for changes in sexual activity between the control group and intervention group were determined using logistic regression, adjusted for baseline sexual activity status. All statistical analyses were performed using R version 3.5.1 (R Core Team [2020], R: A language and environment for statistical computing; R Foundation for Statistical Computing, Vienna, Austria; https://www.R-project.org/). RESULTS: A total of 158 women were randomized to the study as illustrated in Figure 2, and at a 6-month follow-up, 78 women in the intervention group and 80 women in the control group were analyzed in the intention to treat analysis. A total of 7 participants in the intervention group and 10 participants (different between questionnaires) in the control group did not give full responses to follow-up questionnaires, and they were analyzed as a carry forward form baseline assuming no effect of intervention as a worst-case scenario. Inclusion process and flow of participants. As illustrated in Table 1, the intervention group and the control group were similar at the start of the trial. Demographic Data IQR indicates interquartile range; NS, non significant. The women in the intervention group experienced a strongly significant effect of the psychosexual counseling on their FSFI, DLQI, and WHO-5 scores (see Table 2). At baseline, 33 of the women (42.3%) in the intervention group were not sexually active, compared with 30 of women (37.5%) in the control group. After 6 months, this number was reduced to 19 (24.4%) and 27 (33.8%), respectively. This difference is nonsignificant (p = .09). Results a Comparing likelihood of being sexually inactive at follow-up between treatment group and controls adjusted for baseline values. Table 3 illustrates the significant difference according to the FSFI score in women who are sexually active versus women who are not sexually active at baseline and at follow-up. Both groups were significantly affected by the intervention, although the largest effect was seen in nonsexually active women. Effect of Sexual Counseling on FSFI in Subgroups Table 4 shows intervention group characteristics associated with the effect of treatment on the FSFI in this group. It is shown that a greater number of counseling sessions, counseling with a partner, and vaginal insertion dilation treatment were all associated with greater improvement in the FSFI. However, because treatment was tailored to individual needs, the intervention group, nevertheless, still showed low scores at baseline compared with the control group. Intervention Characteristics a Comparing likelihood of being sexually inactive at follow-up between treatment group and controls adjusted for baseline values. The FSFI contains of 6 subgroups as illustrated in Figure 3. The effect of psychosexual counseling is significant for all subgroups for orgasm (p = .02) and for desire (p = .002), arousal (p = .01), lubrication (p = .002), satisfaction (p = .001), and pain (p = .008). Effect of intervention compared with control on subscales of the FSFI questionnaire. Specific questions defining each subscale are shown to the left. There is a significant difference in the score of sexual difficulties according to the DLQI (p = .034), but no significant difference is demonstrated in symptoms (p = .056), embarrassment (p = .057), shopping and home care (p = .23), clothes (p = .098), social and leisure time (p = .83), sport (p = .73), work or study (p = .12), partners, close friends, or relatives (p = .15), and treatment (p = .14). DISCUSSION: The present study is the first study examining the effect of psychosexual counseling on sexuality and QoL in women with LS. The results show a significant effect on sexuality, QoL, and well-being. Despite the significant positive effect of the intervention, however, it is worth noting that the majority of the participating women still score less than 26.55 on the FSFI, showing that these women have a need for sexual treatment.21 We showed that psychosexual counseling in combination with usual care significantly improved QoL (measured by the DLQI) compared with usual care alone. It should be mentioned that the only DLQI question that was significant different between groups was related to sexual functioning. This supports the view that the primary gain of psychosexual counseling in the treatment of LS is improved sexual functioning and thereby QoL. As we have previously documented, the sexual functioning of women with LS is severely impacted, and thus, improvement in this domain may also be assumed to improve overall QoL. To further support this, we also showed improved overall well-being as measured by the WHO-5. The usual care management of LS is a topical treatment according to the European guidelines, and it is well documented that this is effective for symptoms control in women with LS.4 However, the treatments may not result in improved sexual function.8 In accordance with these findings, the present study documents that while both groups of women reported lower degrees of itching, soreness, pain, and stinging on the DLQI (see Figure 4), the women who were only treated with an ultrapotent topical corticosteroid in combination with fatty cream still experienced almost unchanged pain during sexual intercourse after 6 months of treatment according to the FSFI (see Figure 3). In comparison, the women in the intervention group experienced significantly less pain during sexual intercourse and improved overall sexual function after 6 months of psychosexual counseling. No other studies examining the effect of psychosexual counseling in women with LS have been identified, but a cognitive behavioral approach for reducing vulvovaginal pain in women with sexual dysfunction has been found to be beneficial, especially in women with vulvodynia.22–24 Intimacy seems to be an important factor for the well-being among couples or individuals who are struggling with sexual dysfunction and health problems.25 Figure shows effect of intervention compared with control on questions of the DLQI. We found an association between the number of sessions and overall effect on sexuality, indicating a dose-response relationship of psychosexual counseling. Furthermore, we found no signs of ceiling effects and it is possible that some women might continue to benefit even beyond 8 sessions. However, as the number of sessions was tailored to individual needs, this secondary analysis is only exploratory, and results need to be confirmed in future randomized controlled trials. Our results do not allow us to establish the optimum number of sessions or whether the number of sessions should be individually tailored or standardized, and we have found no previous literature exploring this, thus underlining the need for future research. Partners were encouraged to participate in the intervention in this study, and it is documented that women who involved their partners in the treatment found that the treatment was significantly more effective than women who did not involve their partners. This result was confirmed by a former study documenting that for couples experiencing sexual dysfunction or sexual health problems, intimacy appeared to facilitate communication and the ability to express sexual needs, and thereby helped renew and renegotiate their sexuality.25 A combination of sexual therapy and vaginal dilation treatment has been found to be beneficial, especially in women with vulvodynia who became able to regain the confidence to engage in sexual intercourse.24 This present study confirmed that vaginal dilation treatment was associated with greater improvement in sexual function than psychosexual counseling alone. Another approach that seemed to enhance treatment was an explicit and systematic approach focusing on exposure to stimuli that had been feared.26 A Canadian study of women with provoked vestibulodynia showed that higher pain self-efficacy was associated with lower pain experience during sexual intercourse and with better sexual function.25 Both woman and partner have a role in the experience of painful sexual intercourse, and increasing partner involvement in treatment may serve to diminish feelings of guilt, and it may help in raising motivation toward changes and redefinition of their mutual sexual relationship.27 The reason why the partner should be involved is that he or she gains more knowledge of the many causes of pain, and this communication has been found to have a positive impact on the overall coping strategies.28 Even when the partner was not directly participating in the intervention process, the woman was encouraged to improve her communication regarding her pain experience and to negotiate changes in her partner’s behavior when it comes to pain.28 Women without a partner could easily benefit from solo sensitization treatment, aiming to increase a positive relationship with their bodies and the erogenous zones.25 There are several strengths of the present study. The randomization of the patients and the fact there was a very high response rate to the questionnaires is one strength. Another strength is the use of standardized and validated questionnaires. One of the limitations in the present study is the missing information around reasons for women not included in the study. Another limitation is that sexually related personal distress was not measured. Knowledge about a possible diagnostic delay of LS, the severity of the disease, or a possible sexual dysfunction before the onset of LS is also not assembled but was discussed during the sessions and as a basic part of the sexual history. Finally, it is important to consider that results exploring treatment effects based on number of sessions, partner involvement, and dilation treatment are all secondary analyses not benefiting from the initial randomization. Although we adjusted all analyses for baseline values, these results may still be subject to residual confounding and should be interpreted as associations rather than as causation. Therefore, these results also warrant confirmation through further research. CONCLUSIONS: The present study documents the significant effect of psychosexual counseling on the experiences of women with newly diagnosed LS. The results confirm the recommendation in the European guidelines: that sexual dysfunction should be considered in all patients with vulvar conditions, either as the cause of the symptoms, or developed secondary to the symptoms, and assessed whether appropriate. The psychosexual counseling practiced in the present study included more interventions, like medical adjustment, couples therapy, desensitization treatment, etc. This study does not provide knowledge about whether it is individual elements in the treatment that have an effect or whether it is the overall course where the many elements are included. We suggest that the present study, in addition to the positive findings, leads to more studies documenting a possible effect of psychosexual counseling in women with LS.
Background: Lichen sclerosus (LS) can affect sexuality and quality of life (QoL). Methods: One hundred fifty-eight women 18 years or older, newly diagnosed with LS, and referred to North Denmark Regional Hospital from January 2018 to November 2019 were included. The women were randomized in a 1:1 ratio to usual care or an intervention group receiving usual care and up to 8 individual consultations with a specialist in sexual counseling. Spouses or partners were encouraged to participate. The women filled out the questionnaires Female Sexual Function Index (FSFI), Dermatology Life Quality Index, and the WHO-5 Well-Being Index at baseline and after 6 months. Results: The controls presented a mean score of 14.8 ± 8.7 and the intervention group presented a mean score of 12.8 ± 8.9 at FSFI. At follow-up, the controls had an FSFI score of 15.2 ± 9.2 and the intervention group revealed an FSFI score of 18.3 ± 9.5. Both groups experienced improved sexual functioning and for the intervention group the increase was significant ( p < .001).At baseline, the Dermatology Life Quality Index mean score was 8.9 ± 5.6 for the control group and 9.3 ± 6.1 for the intervention group. At follow-up, the controls revealed a score of 8.6 ± 5.5 and the intervention group a score of 6.8 ± 5.8. The intervention group reached a significantly higher degree of QoL than the controls ( p = .008). Conclusions: Psychosexual counseling has a significant impact on sexual functioning and QoL in women with LS.
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[ 2092, 220, 53, 68, 59, 117, 151, 324 ]
12
[ "women", "sexual", "treatment", "ls", "intervention", "group", "score", "psychosexual", "counseling", "qol" ]
[ "vulvar diseases", "gynecologist specialized vulvar", "chronic vulva disorder", "ls outpatient vulvar", "gynecology north denmark" ]
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[CONTENT] vulvar lichen sclerosus | sexual dysfunction | sexual behavior | quality of life | sexual counseling | intervention [SUMMARY]
[CONTENT] vulvar lichen sclerosus | sexual dysfunction | sexual behavior | quality of life | sexual counseling | intervention [SUMMARY]
[CONTENT] vulvar lichen sclerosus | sexual dysfunction | sexual behavior | quality of life | sexual counseling | intervention [SUMMARY]
[CONTENT] vulvar lichen sclerosus | sexual dysfunction | sexual behavior | quality of life | sexual counseling | intervention [SUMMARY]
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[CONTENT] Counseling | Female | Humans | Lichen Sclerosus et Atrophicus | Quality of Life | Sexual Behavior | Surveys and Questionnaires [SUMMARY]
[CONTENT] Counseling | Female | Humans | Lichen Sclerosus et Atrophicus | Quality of Life | Sexual Behavior | Surveys and Questionnaires [SUMMARY]
[CONTENT] Counseling | Female | Humans | Lichen Sclerosus et Atrophicus | Quality of Life | Sexual Behavior | Surveys and Questionnaires [SUMMARY]
[CONTENT] Counseling | Female | Humans | Lichen Sclerosus et Atrophicus | Quality of Life | Sexual Behavior | Surveys and Questionnaires [SUMMARY]
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null
[CONTENT] vulvar diseases | gynecologist specialized vulvar | chronic vulva disorder | ls outpatient vulvar | gynecology north denmark [SUMMARY]
[CONTENT] vulvar diseases | gynecologist specialized vulvar | chronic vulva disorder | ls outpatient vulvar | gynecology north denmark [SUMMARY]
[CONTENT] vulvar diseases | gynecologist specialized vulvar | chronic vulva disorder | ls outpatient vulvar | gynecology north denmark [SUMMARY]
[CONTENT] vulvar diseases | gynecologist specialized vulvar | chronic vulva disorder | ls outpatient vulvar | gynecology north denmark [SUMMARY]
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null
[CONTENT] women | sexual | treatment | ls | intervention | group | score | psychosexual | counseling | qol [SUMMARY]
[CONTENT] women | sexual | treatment | ls | intervention | group | score | psychosexual | counseling | qol [SUMMARY]
[CONTENT] women | sexual | treatment | ls | intervention | group | score | psychosexual | counseling | qol [SUMMARY]
[CONTENT] women | sexual | treatment | ls | intervention | group | score | psychosexual | counseling | qol [SUMMARY]
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null
[CONTENT] baseline | difference | determined | statistical | analyses | results | data | normally | distributed | statistical computing [SUMMARY]
[CONTENT] group | intervention | effect | follow | sexually | significant | table | active | women | intervention group [SUMMARY]
[CONTENT] study | present | present study | effect | elements | counseling | psychosexual counseling | psychosexual | effect psychosexual | effect psychosexual counseling [SUMMARY]
[CONTENT] women | sexual | treatment | ls | score | group | intervention | qol | index | effect [SUMMARY]
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[CONTENT] One hundred fifty-eight | 18 years | LS | North Denmark Regional Hospital | January 2018 to November 2019 ||| 1:1 | up to | 8 ||| ||| 6 months [SUMMARY]
[CONTENT] 14.8 | 8.7 | 12.8 | FSFI ||| 15.2 | 9.2 | 18.3 ||| the Dermatology Life Quality Index | 8.9 | 5.6 | 9.3 ||| 8.6 | 5.5 | 6.8 | 5.8 ||| QoL | .008 [SUMMARY]
[CONTENT] QoL [SUMMARY]
[CONTENT] Lichen sclerosus | QoL ||| One hundred fifty-eight | 18 years | LS | North Denmark Regional Hospital | January 2018 to November 2019 ||| 1:1 | up to | 8 ||| ||| 6 months ||| ||| 14.8 | 8.7 | 12.8 | FSFI ||| 15.2 | 9.2 | 18.3 ||| the Dermatology Life Quality Index | 8.9 | 5.6 | 9.3 ||| 8.6 | 5.5 | 6.8 | 5.8 ||| QoL | .008 ||| QoL [SUMMARY]
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Modulation of sugar feeding behavior by
34989256
Sugar is the main source of energy for nearly all animals. However, consumption of a high amount of sugars can lead to many metabolic disorders hence, balancing calorie intake in the form of sugar is required. Various herbs are in use to control body weight, cure diabetes and control elevated blood sugar levels. One such herb is Gymnema sylvestre commonly called Gurmar (destroyer of sugar). Gurmar selectively inhibits sugar sensation by mechanisms that are still elusive.
INTRODUCTION
For this study, we used feeding assays, spectrophotometry and Proboscis Extension Reflex (PER) assay to determine how flies detect gurmar. Additionally, life span analysis, egg-laying behaviour and developmental profiles were used to probe the role of gurmar on the overall health of the flies. During the whole study, we used only the raw powdered form of gurmar (dried leaves) to examine its effect on sweet taste feeding behaviour.
METHODS
Our data demonstrate that whole gurmar in a raw powdered form is aversive to flies and inhibits sugar evoked PER and feeding responses. Also, we observed it takes at least 24 h of starvation time to reduce the consumption of sugar in flies pre-fed on gurmar. Flies lay a fewer number of eggs on gurmar media and show developmental defects. Our data suggest that flies detect gurmar using both taste and olfactory cues.
RESULTS
Understanding how gurmar reshapes taste curves to promote reduced consumption of sugars in flies will open up avenues to help people with health issues related to high sugar consumption, but our data also highlights that its consumption should be carefully considered since gurmar is aversive to flies and has detrimental effects on development.
CONCLUSION
[ "Animals", "Drosophila melanogaster", "Energy Intake", "Feeding Behavior", "Gymnema sylvestre", "Humans", "Taste" ]
7612715
Introduction
Humans have an innate liking for sweet taste. Sugars are the main source of energy for almost all living animals. Morbidities caused by the consumption of high amounts of sugar are increasing at an alarming rate, creating a huge economic burden on society and health care systems. In the current world, metabolic disorder- Diabetes is one of the major health threats that causes prolonged ill health, making it one of the leading causes of global mortality. In the absence of preventive measures, around 366 million people worldwide are expected to have diabetes by 2030.1 Around 80% of the total world’s population still use and rely on traditional medicine including phytochemicals from plants of medicinal importance for their primary health care and to treat various diseases.2–6 One such herb is Gymnema sylvestre commonly called as Gurmar (destroyer of sugar)7 to treat Diabetes mellitus which is caused by the presence of excessive sugar (glucose) in the blood. It has been shown that the chewing of gurmar leaves can cause a temporary loss of the sweet taste sense and curbs the cravings for sugar for a few hours.7–10 The anti-sweet principle in gurmar was found to be ‘gymnemic acid’.10 The anti-sweetness effect of gymnemic acid varies from species to species, even in mammals.11–13 In both animals and humans, gurmar increases urine output and reduces hyperglycemia.14 Hot water extract from the leaves of G. sylvestre causes suppression of sweet taste responses in the rat.15 The inhibitory effect of another chemical-gurmarin, was found to be highly specific to the sweet taste response to sucrose, glucose, glycine and saccharin with no effect on salt (NaCl), sour (HCl) and bitter taste (quinine.16 Gurmarin present in leaves of G. sylvestre is a polypeptide that consists of 35 amino acid residues including three intramolecular disulfide bonds.16 Although gurmarin suppresses the sweet taste response in rats, a weak or no effect was seen in human beings.15–17 The absence of available consolidated scientific data for the antidiabetic effect of G. sylvestre from clinical trials calls for the examination of its mechanism of action and the understanding of its effects on sugar taste sensation in animals. Artificial sweeteners, sugar concentrations ranging from 100–500 mM and various sweet tasting proteins elicit sweet taste in mammals. The T1R2 and T1R3 heterodimer constitute the sweet taste receptor in mammals.18 Flies also get attracted to many of the sugars that humans consume.19,20 Drosophila melanogaster is one of the ideal genetic systems to study feeding behaviour. Flies are able to detect and differentiate sugars, bitter substances and other gustatory cues through various taste sensors present on different taste organs. These compounds produce an attractive or repulsive response in behavioural tests that finally leads to acceptance or rejection of food.21,22 60 genes in the gustatory receptor (GR) gene family encode 68 receptor proteins in Drosophila.23–25 The three key gustatory receptors required for sensing sugars (except fructose) in Drosophila are Gr5a, Gr64a and Gr64f.26–30 To understand how gurmar modulates feeding behaviour in insects, we used Drosophila as a model system to probe its effect on the sugar feeding behaviour in flies. Our feeding and PER data demonstrate that flies show partial (feeding assays) and almost complete repulsion (PER assays) to different concentrations of gurmar. Flies lay a fewer number of eggs on gurmar media plates. We also observed developmental defects and developmental delay in wildtype flies when grown on gurmar media. We observed that a long starvation time is required after gurmar consumption in flies to suppress sugar intake behaviour. Our data suggest that flies detect gurmar using both taste and olfactory cues.
Experimental procedures
Fly stocks CsBz wildtype flies were received from National Centre for Biological Sciences (NCBS-TIFR), Bangalore, India. Drosophila were reared on standard cornmeal dextrose medium at 25° C, unless specified otherwise. The media composition for Drosophila used is (1 liter of media) - corn flour (80 g), D-glucose (20 g, SRL-CAS Number-50-99-7), Sugar (40 g), Agar (8 g, SRL-CAS Number-9002-18-0), Yeast powder [15 g, SRL-REF-34266 (YI 012)], propionic acid (4 ml, SRL, CAS Number-79-09-4), TEGO (1.25 g in 3 ml of ethanol, fisher scientific, CAS Number-99-76-3), and Orthophosphoric acid (600ul, SRL, CAS Number-7664-38-2). CsBz wildtype flies were received from National Centre for Biological Sciences (NCBS-TIFR), Bangalore, India. Drosophila were reared on standard cornmeal dextrose medium at 25° C, unless specified otherwise. The media composition for Drosophila used is (1 liter of media) - corn flour (80 g), D-glucose (20 g, SRL-CAS Number-50-99-7), Sugar (40 g), Agar (8 g, SRL-CAS Number-9002-18-0), Yeast powder [15 g, SRL-REF-34266 (YI 012)], propionic acid (4 ml, SRL, CAS Number-79-09-4), TEGO (1.25 g in 3 ml of ethanol, fisher scientific, CAS Number-99-76-3), and Orthophosphoric acid (600ul, SRL, CAS Number-7664-38-2). Feeding assays For binary choice feeding assays, wildtype flies were raised from eggs to adults at 25° C. Flies were sorted in vials of 10 males and 10 females (20 flies/vial) upon eclosion and maintained at 25° C for 3 days on fresh media, after which flies were starved for 24 h at 25° C. Flies were tested as described previously,42,43 and abdominal coloration was scored as positive if there was any pink or red eating. Purple scored as 1/2 (when consumed red and blue dyes both) and none (no visible pink or red coloration). 60 × 15 mm feeding plates from Tarsons were used for the assay. % flies feeding was calculated as follows: First, we calculated % flies feeding on gurmar for each plate. Later mean of % flies feeding for 6 plates was calculated. For binary choice feeding assays, wildtype flies were raised from eggs to adults at 25° C. Flies were sorted in vials of 10 males and 10 females (20 flies/vial) upon eclosion and maintained at 25° C for 3 days on fresh media, after which flies were starved for 24 h at 25° C. Flies were tested as described previously,42,43 and abdominal coloration was scored as positive if there was any pink or red eating. Purple scored as 1/2 (when consumed red and blue dyes both) and none (no visible pink or red coloration). 60 × 15 mm feeding plates from Tarsons were used for the assay. % flies feeding was calculated as follows: First, we calculated % flies feeding on gurmar for each plate. Later mean of % flies feeding for 6 plates was calculated. Tarsal proboscis extension reflex (PER) assay 2–3 days old wildtype flies were collected after eclosion and kept on standard food for 3 days. Mix of both male and female flies were used for the PER assay. Flies were tested as described previously,43 Before the assay, flies were starved for 24 h in vials with water-saturated (4 ml) tissue papers. Prior to the PER experiment, no chemical anesthesia was used, instead flies were immobilized by cooling on ice for at least 20 min and then mounted using nail polish, vertical aspect up, on glass slides (76 mm × 26 mm × 1 mm from Borosil). Mounted flies were allowed to recover in a moist chamber (plastic box with wet tissues) for at least 1–2 h prior to testing. Tastant solutions prepared in water were applied directly to tarsi via a drop extruded using 2-ul pipette. Flies were allowed to drink water ad libitum before testing the compounds. Flies not responding to water were excluded before the assay. Flies showing no movement were also excluded. Flies satiated with water were then tested with sucrose and gurmar (whole gurmar with liquid and solid particles floating was taken immediately after vortexing). Ingestion of any tastant solutions was not allowed and following each tastant application, flies were retested with water as a negative control. Each fly was tested five times with tastant solution stimuli (tastant was directly applied to the tarsi). The interval between consecutive tastant solution applications was at least 2–3 min to minimize adaptation. Flies showing three or more proboscis extensions were considered responders. For all PER experiments, three sets of at least 20 flies each were tested and the percentage of responders was calculated for each set. PER graphs depict mean responses and error bars indicate standard error of the mean (SEM). 2–3 days old wildtype flies were collected after eclosion and kept on standard food for 3 days. Mix of both male and female flies were used for the PER assay. Flies were tested as described previously,43 Before the assay, flies were starved for 24 h in vials with water-saturated (4 ml) tissue papers. Prior to the PER experiment, no chemical anesthesia was used, instead flies were immobilized by cooling on ice for at least 20 min and then mounted using nail polish, vertical aspect up, on glass slides (76 mm × 26 mm × 1 mm from Borosil). Mounted flies were allowed to recover in a moist chamber (plastic box with wet tissues) for at least 1–2 h prior to testing. Tastant solutions prepared in water were applied directly to tarsi via a drop extruded using 2-ul pipette. Flies were allowed to drink water ad libitum before testing the compounds. Flies not responding to water were excluded before the assay. Flies showing no movement were also excluded. Flies satiated with water were then tested with sucrose and gurmar (whole gurmar with liquid and solid particles floating was taken immediately after vortexing). Ingestion of any tastant solutions was not allowed and following each tastant application, flies were retested with water as a negative control. Each fly was tested five times with tastant solution stimuli (tastant was directly applied to the tarsi). The interval between consecutive tastant solution applications was at least 2–3 min to minimize adaptation. Flies showing three or more proboscis extensions were considered responders. For all PER experiments, three sets of at least 20 flies each were tested and the percentage of responders was calculated for each set. PER graphs depict mean responses and error bars indicate standard error of the mean (SEM). Chemicals used All the sugars used in the study were obtained from Sigma Aldrich- Sucrose (57-50-1), Fructose (57-48-7), Trehalose (6138-23-4), Sucralose, D-(+)-Glucose (50-99-7), L-(-)-Glucose (921-60-8), Galactose (59-23-4), Arabinose (10323-20-3), Sorbitol (50-70-4). NaCl salt (fisher Scientific- 7647-14-5) was of 99.9% purity. Gurmar (Neutraved Gurmar powder from Amazon), Blue dye- Indigo carmine (Sigma: 860-22-0) and Red dye-Sulforhodamine B (Sigma- 3520-42-1). Bitter and acid compounds used were also obtained from Sigma Aldrich- Caffeine (58-08-2), Denetonium Benzoate (3734-33-6), Quinine (130-95-0), Linolenic Acid (60-33-3), Octanoic Acid (124-07-2), Hexanoic Acid (142-62-1), Acetic Acid (64-19-7), Citric Acid (5949-29-1), Glycolic Acid (79-14-1). All the sugars used in the study were obtained from Sigma Aldrich- Sucrose (57-50-1), Fructose (57-48-7), Trehalose (6138-23-4), Sucralose, D-(+)-Glucose (50-99-7), L-(-)-Glucose (921-60-8), Galactose (59-23-4), Arabinose (10323-20-3), Sorbitol (50-70-4). NaCl salt (fisher Scientific- 7647-14-5) was of 99.9% purity. Gurmar (Neutraved Gurmar powder from Amazon), Blue dye- Indigo carmine (Sigma: 860-22-0) and Red dye-Sulforhodamine B (Sigma- 3520-42-1). Bitter and acid compounds used were also obtained from Sigma Aldrich- Caffeine (58-08-2), Denetonium Benzoate (3734-33-6), Quinine (130-95-0), Linolenic Acid (60-33-3), Octanoic Acid (124-07-2), Hexanoic Acid (142-62-1), Acetic Acid (64-19-7), Citric Acid (5949-29-1), Glycolic Acid (79-14-1). Spectrophotometry analysis After 2 h of feeding on blue spots with the tastant (50 mM sucrose, 2.5% gurmar, 5% gurmar, 10% gurmar and various concentrations of gurmar mixed with sucrose) flies were pooled in equal numbers (60 flies × 2 sets) for each condition and were put in 2 ml eppendorf in 70% ethanol (Figure 1C). Flies were first crushed in 150ul of 70% ethanol and then 150ul 70% ethanol was added to crush them more. After crushing, 200 ul of double-distilled water (to remove the content sticking to the pestle and wall of the eppendorf tube) was added in the same soup and centrifugation was done at 3000 rpm for 15 min. After centrifugation, the pellet was discarded and the supernatant was transferred into the fresh eppendorfs. To do the spectrophotometry analysis, the supernatant was further diluted with 350 ul double distilled water to make up the total final volume of 600ul in the cuvette. Spectrophotometry analysis was done at 630 nm wavelength. Readings were taken for each sample and only the mean values were plotted. The spectrophotometer used was Perkin Elmer, lambda 35 UV/VIS Spectrometer. After 2 h of feeding on blue spots with the tastant (50 mM sucrose, 2.5% gurmar, 5% gurmar, 10% gurmar and various concentrations of gurmar mixed with sucrose) flies were pooled in equal numbers (60 flies × 2 sets) for each condition and were put in 2 ml eppendorf in 70% ethanol (Figure 1C). Flies were first crushed in 150ul of 70% ethanol and then 150ul 70% ethanol was added to crush them more. After crushing, 200 ul of double-distilled water (to remove the content sticking to the pestle and wall of the eppendorf tube) was added in the same soup and centrifugation was done at 3000 rpm for 15 min. After centrifugation, the pellet was discarded and the supernatant was transferred into the fresh eppendorfs. To do the spectrophotometry analysis, the supernatant was further diluted with 350 ul double distilled water to make up the total final volume of 600ul in the cuvette. Spectrophotometry analysis was done at 630 nm wavelength. Readings were taken for each sample and only the mean values were plotted. The spectrophotometer used was Perkin Elmer, lambda 35 UV/VIS Spectrometer. Lethality profile To calculate the number of flies dying on 5 and 10% gurmar mixed with fly media, for each concentration of gurmar 20 flies in each vial (10 male and 10 females) were kept in batches (X6). Flies were transferred on alternate days to fresh media and the number of flies dying every day were counted for the days specified in the graph. Flies kept on normal media were used as the control. To calculate the number of flies dying on 5 and 10% gurmar mixed with fly media, for each concentration of gurmar 20 flies in each vial (10 male and 10 females) were kept in batches (X6). Flies were transferred on alternate days to fresh media and the number of flies dying every day were counted for the days specified in the graph. Flies kept on normal media were used as the control. Egg counting Mated flies were kept on normal media first to synchronize the flies and then shifted to different media conditions (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media) for egg laying. Synchronization was done for two days by transferring flies on normal media for each condition at least three times a day. Each vial had 25 females and 15 males (N = 6 vials for each condition). Flies were transferred on different media plates for egg collection. Yeast paste was used to stimulate the mating. After 20 h, flies were removed from the egg chamber plates (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media). After egg laying, the number of eggs was counted for each plate and mean number of eggs was calculated and plotted for each condition. Mated flies were kept on normal media first to synchronize the flies and then shifted to different media conditions (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media) for egg laying. Synchronization was done for two days by transferring flies on normal media for each condition at least three times a day. Each vial had 25 females and 15 males (N = 6 vials for each condition). Flies were transferred on different media plates for egg collection. Yeast paste was used to stimulate the mating. After 20 h, flies were removed from the egg chamber plates (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media). After egg laying, the number of eggs was counted for each plate and mean number of eggs was calculated and plotted for each condition. Developmental profile analysis Synchronized flies were transferred to fresh normal media vials, 5% gurmar mixed in normal media vials and 10% gurmar mixed in normal media vials. Flies were allowed to lay eggs for two days and later removed from the vials. Fly development, eclosion time and total flies emerged were observed for the next 7 days. N = 6 vials (20 flies each). Synchronized flies were transferred to fresh normal media vials, 5% gurmar mixed in normal media vials and 10% gurmar mixed in normal media vials. Flies were allowed to lay eggs for two days and later removed from the vials. Fly development, eclosion time and total flies emerged were observed for the next 7 days. N = 6 vials (20 flies each). Fly size measurement While measuring the length of the flies only the body was considered. Wings were not considered to measure body size. While measuring the length of the flies only the body was considered. Wings were not considered to measure body size. Microscopy used for image analysis and movie making Olympus SZX10 dual tube microscope was used for generating images and Olympus SZ61 stereomicroscopes for doing the general fly pushing. Olympus SZX10 dual tube microscope was used for generating images and Olympus SZ61 stereomicroscopes for doing the general fly pushing. Statistical analyses Unless otherwise stated, differences between means of different groups were evaluated for statistical significance with parametric ANOVA followed by post hoc Tukey multiple comparisons test for obtaining the p- values. For any other statistical analysis as well, only ANOVA was used. Unless otherwise stated, differences between means of different groups were evaluated for statistical significance with parametric ANOVA followed by post hoc Tukey multiple comparisons test for obtaining the p- values. For any other statistical analysis as well, only ANOVA was used.
Results
Wildtype flies show aversive behaviour to gurmar To understand how flies respond to gurmar, we first tested wildtype (CsBz) flies for their feeding preferences in a feeding assay plate (Figure 1A). For examining the feeding behaviour in feeding assay, batches of flies (20 flies each plate, 10 males + 10 females) were presented with a choice between water and varying concentrations of whole gurmar (2.5%, 5% and 10% raw powdered form dissolved in water). We observed gurmar dry leaves powder does not dissolve completely in water. The same concentrations of gurmar were also tested after mixing it with sucrose (50 mM) and compared with 50 mM sucrose alone (control) (Figure 1B). We found ~ 67% mean feeding responses for 50 mM sucrose. Wildtype flies showed feeding responses of ~ 45% for 2.5% gurmar (with and without sucrose). We observed ~ 10–15% feeding responses for 5% and 10% gurmar and between 30–40% for 5% and 10% gurmar mixed with 50 mM sucrose (Figure 1B). Nonetheless, in all the tested concentrations of gurmar with and without sucrose, we found significant differences when compared to sucrose alone (Figure 1B). We also found significant differences between gurmar alone and gurmar mixed with sucrose at 5% and 10% concentrations (Figure 1B, black and gray bars at 5% and 10% concentration). Since the feeding responses of 10% gurmar and 5% gurmar were not found to be very different from each other and showed a clear aversive behaviour (Figure 1B) later, we used both 5 and 10% gurmar for the rest of the experiments. Our feeding results were confirmed again by measuring the food consumption via spectrophotometry (Figure 1C) separately. The absorbance values (Figure 1C) for 5 and 10% gurmar were found to be reduced compared to 50 mM sucrose alone. We observed a significant difference between 5% gurmar + sucrose and sucrose alone as well in spectrophotometry data (Figure 1C). Our data suggest that gurmar is aversive to flies. To understand how flies respond to gurmar, we first tested wildtype (CsBz) flies for their feeding preferences in a feeding assay plate (Figure 1A). For examining the feeding behaviour in feeding assay, batches of flies (20 flies each plate, 10 males + 10 females) were presented with a choice between water and varying concentrations of whole gurmar (2.5%, 5% and 10% raw powdered form dissolved in water). We observed gurmar dry leaves powder does not dissolve completely in water. The same concentrations of gurmar were also tested after mixing it with sucrose (50 mM) and compared with 50 mM sucrose alone (control) (Figure 1B). We found ~ 67% mean feeding responses for 50 mM sucrose. Wildtype flies showed feeding responses of ~ 45% for 2.5% gurmar (with and without sucrose). We observed ~ 10–15% feeding responses for 5% and 10% gurmar and between 30–40% for 5% and 10% gurmar mixed with 50 mM sucrose (Figure 1B). Nonetheless, in all the tested concentrations of gurmar with and without sucrose, we found significant differences when compared to sucrose alone (Figure 1B). We also found significant differences between gurmar alone and gurmar mixed with sucrose at 5% and 10% concentrations (Figure 1B, black and gray bars at 5% and 10% concentration). Since the feeding responses of 10% gurmar and 5% gurmar were not found to be very different from each other and showed a clear aversive behaviour (Figure 1B) later, we used both 5 and 10% gurmar for the rest of the experiments. Our feeding results were confirmed again by measuring the food consumption via spectrophotometry (Figure 1C) separately. The absorbance values (Figure 1C) for 5 and 10% gurmar were found to be reduced compared to 50 mM sucrose alone. We observed a significant difference between 5% gurmar + sucrose and sucrose alone as well in spectrophotometry data (Figure 1C). Our data suggest that gurmar is aversive to flies. Gurmar is detected by both taste and olfactory cues To investigate how flies detect gurmar, the main olfactory organ- antennae of the flies were removed. Antenna-less wildtype flies were tested for their feeding behaviour. In the absence of antennae, flies feeding on 5% whole gurmar showed improved and increased feeding responses after starvation in feeding assays when compared to wildtype control flies with intact antennae but not in the case of 10% gurmar (Figure 1D and E, red bars). The feeding responses for 10 and 5% gurmar + 50 mM sucrose were found enhanced as well in case of antennae less flies (Figure 1D and E, gray bars) in comparison to wildtype control flies. Our data suggest that the presence of the main olfactory organ in flies caused further repulsion as seen in control flies (Figure 1B and C). Overall, we found aversion to both 5 and 10% gurmar with and without 50 mM sucrose decreased and feeding responses improved after removing antennae. Our results support that feeding on gurmar with and without sucrose is dependent on both olfaction and taste (Figure 1D and E). The feeding responses of 5 and 10% gurmar alone were less than 20%, we used these two concentrations of gurmar with the increasing concentration of sucrose to test the inhibitory effect of gurmar on sugar feeding behaviour. In our dose-response curves, we observed an increase in mean feeding responses with the increase in sucrose concentrations (Figure 1F). A similar pattern of feeding was observed when sucrose was mixed with 5 and 10% gurmar concentration. Highest responses were observed at 5 and 10% gurmar mixed with 100 mM sucrose (Figure 1F). We found significant feeding differences between sucrose and gurmar mixed with sucrose at all the tested concentrations (except 100 mM 10% gurmar). Our feeding assay results suggest inhibition of sugar feeding in the presence of gurmar (Figure 1F) and gurmar inhibits sucrose provoked feeding responses. To confirm our feeding assay results, we also performed PER (Proboscis Extension Reflex) assay (Figure 2A). Extension of the proboscis is the first step shown by flies in an appetitive behaviour. Compared to 50 mM sucrose (~60% positive PER responses), wildtype flies showed less than 5% response when 2.5% and 5% gurmar were tested in our tarsal PER assay (Figure 2B, black bars). We didn’t see any extension of proboscis at 10% gurmar. Significant differences in PER responses (34%, 26% and 21%) were observed when gurmar mixed 50 mM sucrose was compared with 50 mM sucrose alone (Figure 2B, blue bars). Our PER results suggest gurmar alone acts as an aversive cue to wildtype flies and inhibits sucrose evoked PER responses (Figure 2B). To investigate how flies detect gurmar, the main olfactory organ- antennae of the flies were removed. Antenna-less wildtype flies were tested for their feeding behaviour. In the absence of antennae, flies feeding on 5% whole gurmar showed improved and increased feeding responses after starvation in feeding assays when compared to wildtype control flies with intact antennae but not in the case of 10% gurmar (Figure 1D and E, red bars). The feeding responses for 10 and 5% gurmar + 50 mM sucrose were found enhanced as well in case of antennae less flies (Figure 1D and E, gray bars) in comparison to wildtype control flies. Our data suggest that the presence of the main olfactory organ in flies caused further repulsion as seen in control flies (Figure 1B and C). Overall, we found aversion to both 5 and 10% gurmar with and without 50 mM sucrose decreased and feeding responses improved after removing antennae. Our results support that feeding on gurmar with and without sucrose is dependent on both olfaction and taste (Figure 1D and E). The feeding responses of 5 and 10% gurmar alone were less than 20%, we used these two concentrations of gurmar with the increasing concentration of sucrose to test the inhibitory effect of gurmar on sugar feeding behaviour. In our dose-response curves, we observed an increase in mean feeding responses with the increase in sucrose concentrations (Figure 1F). A similar pattern of feeding was observed when sucrose was mixed with 5 and 10% gurmar concentration. Highest responses were observed at 5 and 10% gurmar mixed with 100 mM sucrose (Figure 1F). We found significant feeding differences between sucrose and gurmar mixed with sucrose at all the tested concentrations (except 100 mM 10% gurmar). Our feeding assay results suggest inhibition of sugar feeding in the presence of gurmar (Figure 1F) and gurmar inhibits sucrose provoked feeding responses. To confirm our feeding assay results, we also performed PER (Proboscis Extension Reflex) assay (Figure 2A). Extension of the proboscis is the first step shown by flies in an appetitive behaviour. Compared to 50 mM sucrose (~60% positive PER responses), wildtype flies showed less than 5% response when 2.5% and 5% gurmar were tested in our tarsal PER assay (Figure 2B, black bars). We didn’t see any extension of proboscis at 10% gurmar. Significant differences in PER responses (34%, 26% and 21%) were observed when gurmar mixed 50 mM sucrose was compared with 50 mM sucrose alone (Figure 2B, blue bars). Our PER results suggest gurmar alone acts as an aversive cue to wildtype flies and inhibits sucrose evoked PER responses (Figure 2B). Whole gurmar solution is more aversive to flies than just the extract present in the liquid fraction In our feeding assays, a powdered form of dry gurmar leaves mixed with water and agar was presented to flies. We always observed settled solid particles at the bottom and green liquid solution at the top, suggesting gurmar doesn’t completely dissolve in water. To determine which part of the gurmar solution is aversive to flies, we tested wildtype flies in feeding assays. Flies feeding on the liquid fraction of 10% gurmar + 50 mM sucrose and 5% gurmar + 50 mM sucrose showed improved feeding responses (65–75%) compared to whole gurmar at 10 and 5% concentration when mixed with 50 mM sucrose (40–45%, Figure 2C and D). We also tested flies with 10 and 5% gurmar alone without adding any sucrose (Figure 2C and D) as a negative control. Just like in the case of Figures 1B and C, we again found similar feeding results (<20%) for 10 and 5% gurmar. In the absence of any sucrose, flies feeding on the liquid fraction of 10 and 5% gurmar alone showed ~45% feeding response as seen for 10 and 5% whole gurmar when mixed with 50 mM sucrose (Figure 2C and D). We found a few flies feed on whole gurmar without any added sucrose. Our results suggest that whole gurmar affects feeding behaviour more strongly and is highly aversive in nature, suggesting the presence of an aversive component in the solid particles rather than the liquid fraction. In our feeding assays, a powdered form of dry gurmar leaves mixed with water and agar was presented to flies. We always observed settled solid particles at the bottom and green liquid solution at the top, suggesting gurmar doesn’t completely dissolve in water. To determine which part of the gurmar solution is aversive to flies, we tested wildtype flies in feeding assays. Flies feeding on the liquid fraction of 10% gurmar + 50 mM sucrose and 5% gurmar + 50 mM sucrose showed improved feeding responses (65–75%) compared to whole gurmar at 10 and 5% concentration when mixed with 50 mM sucrose (40–45%, Figure 2C and D). We also tested flies with 10 and 5% gurmar alone without adding any sucrose (Figure 2C and D) as a negative control. Just like in the case of Figures 1B and C, we again found similar feeding results (<20%) for 10 and 5% gurmar. In the absence of any sucrose, flies feeding on the liquid fraction of 10 and 5% gurmar alone showed ~45% feeding response as seen for 10 and 5% whole gurmar when mixed with 50 mM sucrose (Figure 2C and D). We found a few flies feed on whole gurmar without any added sucrose. Our results suggest that whole gurmar affects feeding behaviour more strongly and is highly aversive in nature, suggesting the presence of an aversive component in the solid particles rather than the liquid fraction. Effect of gurmar on life span and egg-laying behaviour Our results suggest gurmar is an aversive cue to flies, we further investigated the effect of gurmar on the development of flies. For probing the effect of gurmar on fly development, first, we tested the effect of gurmar on the egg laying behaviour of flies. Egg-laying was performed on the normal media and gurmar plates (gurmar mixed with normal media). Flies on the gurmar plates laid less number of eggs (on 5%- ~110–130 eggs and on 10%-~ 80-100 eggs) compared to normal media flies (~150–170 eggs) (Figure 3A). We also observed that on 5 and 10% gurmar media, the mean number of flies eclosed per vial was less compared to normal media vials (Figure 3B). Our data suggest that gurmar feeding affects the egg laying behaviour in flies that resulted in reduced counts of eggs laid by flies. Altogether our data suggest that gurmar affects the egg-laying behaviour and hence, the total number of eggs laid. We also determined if flies raised on gurmar throughout the development show any developmental defects. We raised the flies at 25°C in the incubator throughout the development. We noticed, the growth of the flies was slower and the flies eclosed late in the case of 5 and 10% gurmar (gurmar mixed with normal food) (Figure 3C) compared with normal media flies (NM vials). Flies growing on normal media eclosed on day 10–11 at 25°C (Figure 3C). On 5% gurmar, flies eclosed on 13–14th day and on 10% gurmar, flies eclosed as adults on day 17–18 (Figure 3C). We also observed that the size of the flies (both male and females) in the case of 10% gurmar was smaller compared to normal media raised (NM) flies (Figure 3D-D”). No differences in body size of flies were observed at 5% gurmar (Figure 3D’ and D”). Our data suggest that continuous consumption of gurmar causes deleterious effects on the development and overall health of the flies. We further investigated the effect of gurmar feeding on the life span of flies. The longevity assay was used to follow the life spans of flies till death. Adult wildtype flies were transferred on the fresh gurmar media (gurmar mixed with normal fly media) and control media every alternative day to avoid any fly death due to soggy media conditions. The flies on 5 (green line) and 10% (red line) gurmar showed shorter life spans compared to normal media flies (65 days) (Figure 3E, blue line). Flies on 10% gurmar died at day 18 and on 5% at day 41 compared to normal media flies which died on day 65. Our data suggest continuous feeding on gurmar causes early lethality in wildtype flies compared to normal media flies (Figure 3E). Our results suggest gurmar is an aversive cue to flies, we further investigated the effect of gurmar on the development of flies. For probing the effect of gurmar on fly development, first, we tested the effect of gurmar on the egg laying behaviour of flies. Egg-laying was performed on the normal media and gurmar plates (gurmar mixed with normal media). Flies on the gurmar plates laid less number of eggs (on 5%- ~110–130 eggs and on 10%-~ 80-100 eggs) compared to normal media flies (~150–170 eggs) (Figure 3A). We also observed that on 5 and 10% gurmar media, the mean number of flies eclosed per vial was less compared to normal media vials (Figure 3B). Our data suggest that gurmar feeding affects the egg laying behaviour in flies that resulted in reduced counts of eggs laid by flies. Altogether our data suggest that gurmar affects the egg-laying behaviour and hence, the total number of eggs laid. We also determined if flies raised on gurmar throughout the development show any developmental defects. We raised the flies at 25°C in the incubator throughout the development. We noticed, the growth of the flies was slower and the flies eclosed late in the case of 5 and 10% gurmar (gurmar mixed with normal food) (Figure 3C) compared with normal media flies (NM vials). Flies growing on normal media eclosed on day 10–11 at 25°C (Figure 3C). On 5% gurmar, flies eclosed on 13–14th day and on 10% gurmar, flies eclosed as adults on day 17–18 (Figure 3C). We also observed that the size of the flies (both male and females) in the case of 10% gurmar was smaller compared to normal media raised (NM) flies (Figure 3D-D”). No differences in body size of flies were observed at 5% gurmar (Figure 3D’ and D”). Our data suggest that continuous consumption of gurmar causes deleterious effects on the development and overall health of the flies. We further investigated the effect of gurmar feeding on the life span of flies. The longevity assay was used to follow the life spans of flies till death. Adult wildtype flies were transferred on the fresh gurmar media (gurmar mixed with normal fly media) and control media every alternative day to avoid any fly death due to soggy media conditions. The flies on 5 (green line) and 10% (red line) gurmar showed shorter life spans compared to normal media flies (65 days) (Figure 3E, blue line). Flies on 10% gurmar died at day 18 and on 5% at day 41 compared to normal media flies which died on day 65. Our data suggest continuous feeding on gurmar causes early lethality in wildtype flies compared to normal media flies (Figure 3E). Effect of gurmar on sugar intake in flies To test the effect of gurmar on sugar intake in flies, wildtype flies were fed for 2 days with 5 and 10% gurmar mixed with the normal media. Later flies were tested for their consumption of 50 mM sucrose in our 2 h feeding assay. Flies on normal media without any gurmar were used as a control. Two sets of flies were tested; one set was tested after 24hrs starvation and the other set was tested without any starvation (no starvation). Under no starvation condition, normal media wildtype flies consumed less sugar (~20–30% feeding response; Figure 4A, C and E) compared to 24 h starvation (~ 80–90% feeding response) flies on normal media (Figure 4B, D and F). In case of both 10 and 5% gurmar, under no starvation condition almost 80–90% of flies fed on sugar (Figure 4A, C and E) compared to the starvation condition (24 h). We observed feeding responses were reduced to half ~30–50% in case of 10 and 5% gurmar fed flies after starvation (Figure 4B, D and F). Male flies specifically showed lower feeding (~5–10%) on 50 mM sucrose compared to female flies (Figure 4G and H) when males and females were tested separately after 24 h starvation. Under the no starvation condition, feeding responses of males and females were not significantly different (Figure 4G and H). We found no immediate effect of gurmar on sugar intake, in fact, we saw enhanced feeding on sugar in a fed state. Our data showed reduced sugar consumption only after starvation (24 h). Altogether our results suggest that the effect of gurmar is internal state dependent and sexually dimorphic as observed for reduced sugar intake in males after 24hrs of starvation. A similar reduction in sugar consumption under starvation was also observed for many other sugars, namely 100 mM sucrose, fructose, trehalose, D-glucose, L-glucose, galactose, arabinose and sorbitol, except sucralose, L-glucose and galactose (Figure 5A). We also tested other taste categories including 50 and 200 mM NaCl and found no difference in feeding between normal media, 5 and 10% gurmar media condition (Figure 5B). Feeding responses for bitter compounds 10 mM caffeine, 1 mM denatonium and 1 mM quanine were no different between normal media, 5 and 10% gurmar media condition (Figure 5C). Various acids tested at 1% concentration also showed no difference in feeding (Figure 5D). As a whole, our results suggest that gurmar modulates only sugar taste behaviour (although not all sugars) and the phenotype is specific for sugars. In general, wild type flies feeding on low-calorie sweeteners including sucralose, L-glucose and galactose showed lower feeding responses (<50%) under all conditions. Our model supports the mechanism where gurmar affects sugar intake in two different internal states (fed and starved, Figure 6). Under the fed condition, flies pre-fed on gurmar consume a high amount of sugar compared to normal media hungry flies (starved 24hrs) (Figure 6). Only after 24hrs of starvation time, flies pre-fed with gurmar showed reduced feeding suggesting a modulatory effect of gurmar on sweet taste behaviour. Where (brain or periphery) gurmar acts to cause the sweet taste modulation invites further probing. There is a possibility that taste memories under different internal states caused feeding differences in fed and starved flies. Also, the role of gurmar in altering the neuropeptides regulating feeding behaviour and its effect on the satiety region of the brain cannot be ignored which needs future investigation. To test the effect of gurmar on sugar intake in flies, wildtype flies were fed for 2 days with 5 and 10% gurmar mixed with the normal media. Later flies were tested for their consumption of 50 mM sucrose in our 2 h feeding assay. Flies on normal media without any gurmar were used as a control. Two sets of flies were tested; one set was tested after 24hrs starvation and the other set was tested without any starvation (no starvation). Under no starvation condition, normal media wildtype flies consumed less sugar (~20–30% feeding response; Figure 4A, C and E) compared to 24 h starvation (~ 80–90% feeding response) flies on normal media (Figure 4B, D and F). In case of both 10 and 5% gurmar, under no starvation condition almost 80–90% of flies fed on sugar (Figure 4A, C and E) compared to the starvation condition (24 h). We observed feeding responses were reduced to half ~30–50% in case of 10 and 5% gurmar fed flies after starvation (Figure 4B, D and F). Male flies specifically showed lower feeding (~5–10%) on 50 mM sucrose compared to female flies (Figure 4G and H) when males and females were tested separately after 24 h starvation. Under the no starvation condition, feeding responses of males and females were not significantly different (Figure 4G and H). We found no immediate effect of gurmar on sugar intake, in fact, we saw enhanced feeding on sugar in a fed state. Our data showed reduced sugar consumption only after starvation (24 h). Altogether our results suggest that the effect of gurmar is internal state dependent and sexually dimorphic as observed for reduced sugar intake in males after 24hrs of starvation. A similar reduction in sugar consumption under starvation was also observed for many other sugars, namely 100 mM sucrose, fructose, trehalose, D-glucose, L-glucose, galactose, arabinose and sorbitol, except sucralose, L-glucose and galactose (Figure 5A). We also tested other taste categories including 50 and 200 mM NaCl and found no difference in feeding between normal media, 5 and 10% gurmar media condition (Figure 5B). Feeding responses for bitter compounds 10 mM caffeine, 1 mM denatonium and 1 mM quanine were no different between normal media, 5 and 10% gurmar media condition (Figure 5C). Various acids tested at 1% concentration also showed no difference in feeding (Figure 5D). As a whole, our results suggest that gurmar modulates only sugar taste behaviour (although not all sugars) and the phenotype is specific for sugars. In general, wild type flies feeding on low-calorie sweeteners including sucralose, L-glucose and galactose showed lower feeding responses (<50%) under all conditions. Our model supports the mechanism where gurmar affects sugar intake in two different internal states (fed and starved, Figure 6). Under the fed condition, flies pre-fed on gurmar consume a high amount of sugar compared to normal media hungry flies (starved 24hrs) (Figure 6). Only after 24hrs of starvation time, flies pre-fed with gurmar showed reduced feeding suggesting a modulatory effect of gurmar on sweet taste behaviour. Where (brain or periphery) gurmar acts to cause the sweet taste modulation invites further probing. There is a possibility that taste memories under different internal states caused feeding differences in fed and starved flies. Also, the role of gurmar in altering the neuropeptides regulating feeding behaviour and its effect on the satiety region of the brain cannot be ignored which needs future investigation.
null
null
[ "Wildtype flies show aversive behaviour to gurmar", "Gurmar is detected by both taste and olfactory cues", "Whole gurmar solution is more aversive to flies than just the extract present in the liquid fraction", "Effect of gurmar on life span and egg-laying behaviour", "Effect of gurmar on sugar intake in flies", "Fly stocks", "Feeding assays", "Tarsal proboscis extension reflex (PER) assay", "Chemicals used", "Spectrophotometry analysis", "Lethality profile", "Egg counting", "Developmental profile analysis", "Fly size measurement", "Microscopy used for image analysis and movie making", "Statistical analyses" ]
[ "To understand how flies respond to gurmar, we first tested wildtype (CsBz) flies for their feeding preferences in a feeding assay plate (Figure 1A). For examining the feeding behaviour in feeding assay, batches of flies (20 flies each plate, 10 males + 10 females) were presented with a choice between water and varying concentrations of whole gurmar (2.5%, 5% and 10% raw powdered form dissolved in water). We observed gurmar dry leaves powder does not dissolve completely in water. The same concentrations of gurmar were also tested after mixing it with sucrose (50 mM) and compared with 50 mM sucrose alone (control) (Figure 1B).\nWe found ~ 67% mean feeding responses for 50 mM sucrose. Wildtype flies showed feeding responses of ~ 45% for 2.5% gurmar (with and without sucrose). We observed ~ 10–15% feeding responses for 5% and 10% gurmar and between 30–40% for 5% and 10% gurmar mixed with 50 mM sucrose (Figure 1B). Nonetheless, in all the tested concentrations of gurmar with and without sucrose, we found significant differences when compared to sucrose alone (Figure 1B). We also found significant differences between gurmar alone and gurmar mixed with sucrose at 5% and 10% concentrations (Figure 1B, black and gray bars at 5% and 10% concentration). Since the feeding responses of 10% gurmar and 5% gurmar were not found to be very different from each other and showed a clear aversive behaviour (Figure 1B) later, we used both 5 and 10% gurmar for the rest of the experiments. Our feeding results were confirmed again by measuring the food consumption via spectrophotometry (Figure 1C) separately. The absorbance values (Figure 1C) for 5 and 10% gurmar were found to be reduced compared to 50 mM sucrose alone. We observed a significant difference between 5% gurmar + sucrose and sucrose alone as well in spectrophotometry data (Figure 1C). Our data suggest that gurmar is aversive to flies.", "To investigate how flies detect gurmar, the main olfactory organ- antennae of the flies were removed. Antenna-less wildtype flies were tested for their feeding behaviour. In the absence of antennae, flies feeding on 5% whole gurmar showed improved and increased feeding responses after starvation in feeding assays when compared to wildtype control flies with intact antennae but not in the case of 10% gurmar (Figure 1D and E, red bars). The feeding responses for 10 and 5% gurmar + 50 mM sucrose were found enhanced as well in case of antennae less flies (Figure 1D and E, gray bars) in comparison to wildtype control flies. Our data suggest that the presence of the main olfactory organ in flies caused further repulsion as seen in control flies (Figure 1B and C). Overall, we found aversion to both 5 and 10% gurmar with and without 50 mM sucrose decreased and feeding responses improved after removing antennae. Our results support that feeding on gurmar with and without sucrose is dependent on both olfaction and taste (Figure 1D and E).\nThe feeding responses of 5 and 10% gurmar alone were less than 20%, we used these two concentrations of gurmar with the increasing concentration of sucrose to test the inhibitory effect of gurmar on sugar feeding behaviour. In our dose-response curves, we observed an increase in mean feeding responses with the increase in sucrose concentrations (Figure 1F). A similar pattern of feeding was observed when sucrose was mixed with 5 and 10% gurmar concentration. Highest responses were observed at 5 and 10% gurmar mixed with 100 mM sucrose (Figure 1F). We found significant feeding differences between sucrose and gurmar mixed with sucrose at all the tested concentrations (except 100 mM 10% gurmar). Our feeding assay results suggest inhibition of sugar feeding in the presence of gurmar (Figure 1F) and gurmar inhibits sucrose provoked feeding responses.\nTo confirm our feeding assay results, we also performed PER (Proboscis Extension Reflex) assay (Figure 2A). Extension of the proboscis is the first step shown by flies in an appetitive behaviour. Compared to 50 mM sucrose (~60% positive PER responses), wildtype flies showed less than 5% response when 2.5% and 5% gurmar were tested in our tarsal PER assay (Figure 2B, black bars). We didn’t see any extension of proboscis at 10% gurmar. Significant differences in PER responses (34%, 26% and 21%) were observed when gurmar mixed 50 mM sucrose was compared with 50 mM sucrose alone (Figure 2B, blue bars). Our PER results suggest gurmar alone acts as an aversive cue to wildtype flies and inhibits sucrose evoked PER responses (Figure 2B).", "In our feeding assays, a powdered form of dry gurmar leaves mixed with water and agar was presented to flies. We always observed settled solid particles at the bottom and green liquid solution at the top, suggesting gurmar doesn’t completely dissolve in water. To determine which part of the gurmar solution is aversive to flies, we tested wildtype flies in feeding assays. Flies feeding on the liquid fraction of 10% gurmar + 50 mM sucrose and 5% gurmar + 50 mM sucrose showed improved feeding responses (65–75%) compared to whole gurmar at 10 and 5% concentration when mixed with 50 mM sucrose (40–45%, Figure 2C and D).\nWe also tested flies with 10 and 5% gurmar alone without adding any sucrose (Figure 2C and D) as a negative control. Just like in the case of Figures 1B and C, we again found similar feeding results (<20%) for 10 and 5% gurmar. In the absence of any sucrose, flies feeding on the liquid fraction of 10 and 5% gurmar alone showed ~45% feeding response as seen for 10 and 5% whole gurmar when mixed with 50 mM sucrose (Figure 2C and D). We found a few flies feed on whole gurmar without any added sucrose. Our results suggest that whole gurmar affects feeding behaviour more strongly and is highly aversive in nature, suggesting the presence of an aversive component in the solid particles rather than the liquid fraction.", "Our results suggest gurmar is an aversive cue to flies, we further investigated the effect of gurmar on the development of flies. For probing the effect of gurmar on fly development, first, we tested the effect of gurmar on the egg laying behaviour of flies. Egg-laying was performed on the normal media and gurmar plates (gurmar mixed with normal media). Flies on the gurmar plates laid less number of eggs (on 5%- ~110–130 eggs and on 10%-~ 80-100 eggs) compared to normal media flies (~150–170 eggs) (Figure 3A). We also observed that on 5 and 10% gurmar media, the mean number of flies eclosed per vial was less compared to normal media vials (Figure 3B). Our data suggest that gurmar feeding affects the egg laying behaviour in flies that resulted in reduced counts of eggs laid by flies. Altogether our data suggest that gurmar affects the egg-laying behaviour and hence, the total number of eggs laid.\nWe also determined if flies raised on gurmar throughout the development show any developmental defects. We raised the flies at 25°C in the incubator throughout the development. We noticed, the growth of the flies was slower and the flies eclosed late in the case of 5 and 10% gurmar (gurmar mixed with normal food) (Figure 3C) compared with normal media flies (NM vials). Flies growing on normal media eclosed on day 10–11 at 25°C (Figure 3C). On 5% gurmar, flies eclosed on 13–14th day and on 10% gurmar, flies eclosed as adults on day 17–18 (Figure 3C). We also observed that the size of the flies (both male and females) in the case of 10% gurmar was smaller compared to normal media raised (NM) flies (Figure 3D-D”). No differences in body size of flies were observed at 5% gurmar (Figure 3D’ and D”). Our data suggest that continuous consumption of gurmar causes deleterious effects on the development and overall health of the flies.\nWe further investigated the effect of gurmar feeding on the life span of flies. The longevity assay was used to follow the life spans of flies till death. Adult wildtype flies were transferred on the fresh gurmar media (gurmar mixed with normal fly media) and control media every alternative day to avoid any fly death due to soggy media conditions. The flies on 5 (green line) and 10% (red line) gurmar showed shorter life spans compared to normal media flies (65 days) (Figure 3E, blue line). Flies on 10% gurmar died at day 18 and on 5% at day 41 compared to normal media flies which died on day 65. Our data suggest continuous feeding on gurmar causes early lethality in wildtype flies compared to normal media flies (Figure 3E).", "To test the effect of gurmar on sugar intake in flies, wildtype flies were fed for 2 days with 5 and 10% gurmar mixed with the normal media. Later flies were tested for their consumption of 50 mM sucrose in our 2 h feeding assay. Flies on normal media without any gurmar were used as a control. Two sets of flies were tested; one set was tested after 24hrs starvation and the other set was tested without any starvation (no starvation). Under no starvation condition, normal media wildtype flies consumed less sugar (~20–30% feeding response; Figure 4A, C and E) compared to 24 h starvation (~ 80–90% feeding response) flies on normal media (Figure 4B, D and F).\nIn case of both 10 and 5% gurmar, under no starvation condition almost 80–90% of flies fed on sugar (Figure 4A, C and E) compared to the starvation condition (24 h). We observed feeding responses were reduced to half ~30–50% in case of 10 and 5% gurmar fed flies after starvation (Figure 4B, D and F). Male flies specifically showed lower feeding (~5–10%) on 50 mM sucrose compared to female flies (Figure 4G and H) when males and females were tested separately after 24 h starvation. Under the no starvation condition, feeding responses of males and females were not significantly different (Figure 4G and H). We found no immediate effect of gurmar on sugar intake, in fact, we saw enhanced feeding on sugar in a fed state. Our data showed reduced sugar consumption only after starvation (24 h). Altogether our results suggest that the effect of gurmar is internal state dependent and sexually dimorphic as observed for reduced sugar intake in males after 24hrs of starvation.\nA similar reduction in sugar consumption under starvation was also observed for many other sugars, namely 100 mM sucrose, fructose, trehalose, D-glucose, L-glucose, galactose, arabinose and sorbitol, except sucralose, L-glucose and galactose (Figure 5A). We also tested other taste categories including 50 and 200 mM NaCl and found no difference in feeding between normal media, 5 and 10% gurmar media condition (Figure 5B). Feeding responses for bitter compounds 10 mM caffeine, 1 mM denatonium and 1 mM quanine were no different between normal media, 5 and 10% gurmar media condition (Figure 5C). Various acids tested at 1% concentration also showed no difference in feeding (Figure 5D).\nAs a whole, our results suggest that gurmar modulates only sugar taste behaviour (although not all sugars) and the phenotype is specific for sugars. In general, wild type flies feeding on low-calorie sweeteners including sucralose, L-glucose and galactose showed lower feeding responses (<50%) under all conditions. Our model supports the mechanism where gurmar affects sugar intake in two different internal states (fed and starved, Figure 6). Under the fed condition, flies pre-fed on gurmar consume a high amount of sugar compared to normal media hungry flies (starved 24hrs) (Figure 6). Only after 24hrs of starvation time, flies pre-fed with gurmar showed reduced feeding suggesting a modulatory effect of gurmar on sweet taste behaviour. Where (brain or periphery) gurmar acts to cause the sweet taste modulation invites further probing. There is a possibility that taste memories under different internal states caused feeding differences in fed and starved flies. Also, the role of gurmar in altering the neuropeptides regulating feeding behaviour and its effect on the satiety region of the brain cannot be ignored which needs future investigation.", "CsBz wildtype flies were received from National Centre for Biological Sciences (NCBS-TIFR), Bangalore, India. Drosophila were reared on standard cornmeal dextrose medium at 25° C, unless specified otherwise.\nThe media composition for Drosophila used is (1 liter of media) - corn flour (80 g), D-glucose (20 g, SRL-CAS Number-50-99-7), Sugar (40 g), Agar (8 g, SRL-CAS Number-9002-18-0), Yeast powder [15 g, SRL-REF-34266 (YI 012)], propionic acid (4 ml, SRL, CAS Number-79-09-4), TEGO (1.25 g in 3 ml of ethanol, fisher scientific, CAS Number-99-76-3), and Orthophosphoric acid (600ul, SRL, CAS Number-7664-38-2).", "For binary choice feeding assays, wildtype flies were raised from eggs to adults at 25° C. Flies were sorted in vials of 10 males and 10 females (20 flies/vial) upon eclosion and maintained at 25° C for 3 days on fresh media, after which flies were starved for 24 h at 25° C. Flies were tested as described previously,42,43 and abdominal coloration was scored as positive if there was any pink or red eating. Purple scored as 1/2 (when consumed red and blue dyes both) and none (no visible pink or red coloration). 60 × 15 mm feeding plates from Tarsons were used for the assay.\n% flies feeding was calculated as follows: First, we calculated % flies feeding on gurmar for each plate. Later mean of % flies feeding for 6 plates was calculated.", "2–3 days old wildtype flies were collected after eclosion and kept on standard food for 3 days. Mix of both male and female flies were used for the PER assay. Flies were tested as described previously,43 Before the assay, flies were starved for 24 h in vials with water-saturated (4 ml) tissue papers. Prior to the PER experiment, no chemical anesthesia was used, instead flies were immobilized by cooling on ice for at least 20 min and then mounted using nail polish, vertical aspect up, on glass slides (76 mm × 26 mm × 1 mm from Borosil). Mounted flies were allowed to recover in a moist chamber (plastic box with wet tissues) for at least 1–2 h prior to testing. Tastant solutions prepared in water were applied directly to tarsi via a drop extruded using 2-ul pipette. Flies were allowed to drink water ad libitum before testing the compounds. Flies not responding to water were excluded before the assay. Flies showing no movement were also excluded. Flies satiated with water were then tested with sucrose and gurmar (whole gurmar with liquid and solid particles floating was taken immediately after vortexing). Ingestion of any tastant solutions was not allowed and following each tastant application, flies were retested with water as a negative control. Each fly was tested five times with tastant solution stimuli (tastant was directly applied to the tarsi). The interval between consecutive tastant solution applications was at least 2–3 min to minimize adaptation. Flies showing three or more proboscis extensions were considered responders.\nFor all PER experiments, three sets of at least 20 flies each were tested and the percentage of responders was calculated for each set. PER graphs depict mean responses and error bars indicate standard error of the mean (SEM).", "All the sugars used in the study were obtained from Sigma Aldrich- Sucrose (57-50-1), Fructose (57-48-7), Trehalose (6138-23-4), Sucralose, D-(+)-Glucose (50-99-7), L-(-)-Glucose (921-60-8), Galactose (59-23-4), Arabinose (10323-20-3), Sorbitol (50-70-4). NaCl salt (fisher Scientific- 7647-14-5) was of 99.9% purity. Gurmar (Neutraved Gurmar powder from Amazon), Blue dye- Indigo carmine (Sigma: 860-22-0) and Red dye-Sulforhodamine B (Sigma- 3520-42-1). Bitter and acid compounds used were also obtained from Sigma Aldrich- Caffeine (58-08-2), Denetonium Benzoate (3734-33-6), Quinine (130-95-0), Linolenic Acid (60-33-3), Octanoic Acid (124-07-2), Hexanoic Acid (142-62-1), Acetic Acid (64-19-7), Citric Acid (5949-29-1), Glycolic Acid (79-14-1).", "After 2 h of feeding on blue spots with the tastant (50 mM sucrose, 2.5% gurmar, 5% gurmar, 10% gurmar and various concentrations of gurmar mixed with sucrose) flies were pooled in equal numbers (60 flies × 2 sets) for each condition and were put in 2 ml eppendorf in 70% ethanol (Figure 1C). Flies were first crushed in 150ul of 70% ethanol and then 150ul 70% ethanol was added to crush them more. After crushing, 200 ul of double-distilled water (to remove the content sticking to the pestle and wall of the eppendorf tube) was added in the same soup and centrifugation was done at 3000 rpm for 15 min. After centrifugation, the pellet was discarded and the supernatant was transferred into the fresh eppendorfs. To do the spectrophotometry analysis, the supernatant was further diluted with 350 ul double distilled water to make up the total final volume of 600ul in the cuvette. Spectrophotometry analysis was done at 630 nm wavelength. Readings were taken for each sample and only the mean values were plotted. The spectrophotometer used was Perkin Elmer, lambda 35 UV/VIS Spectrometer.", "To calculate the number of flies dying on 5 and 10% gurmar mixed with fly media, for each concentration of gurmar 20 flies in each vial (10 male and 10 females) were kept in batches (X6). Flies were transferred on alternate days to fresh media and the number of flies dying every day were counted for the days specified in the graph. Flies kept on normal media were used as the control.", "Mated flies were kept on normal media first to synchronize the flies and then shifted to different media conditions (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media) for egg laying. Synchronization was done for two days by transferring flies on normal media for each condition at least three times a day. Each vial had 25 females and 15 males (N = 6 vials for each condition). Flies were transferred on different media plates for egg collection. Yeast paste was used to stimulate the mating. After 20 h, flies were removed from the egg chamber plates (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media). After egg laying, the number of eggs was counted for each plate and mean number of eggs was calculated and plotted for each condition.", "Synchronized flies were transferred to fresh normal media vials, 5% gurmar mixed in normal media vials and 10% gurmar mixed in normal media vials. Flies were allowed to lay eggs for two days and later removed from the vials. Fly development, eclosion time and total flies emerged were observed for the next 7 days. N = 6 vials (20 flies each).", "While measuring the length of the flies only the body was considered. Wings were not considered to measure body size.", "Olympus SZX10 dual tube microscope was used for generating images and Olympus SZ61 stereomicroscopes for doing the general fly pushing.", "Unless otherwise stated, differences between means of different groups were evaluated for statistical significance with parametric ANOVA followed by post hoc Tukey multiple comparisons test for obtaining the p- values. For any other statistical analysis as well, only ANOVA was used." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Introduction", "Results", "Wildtype flies show aversive behaviour to gurmar", "Gurmar is detected by both taste and olfactory cues", "Whole gurmar solution is more aversive to flies than just the extract present in the liquid fraction", "Effect of gurmar on life span and egg-laying behaviour", "Effect of gurmar on sugar intake in flies", "Discussion", "Experimental procedures", "Fly stocks", "Feeding assays", "Tarsal proboscis extension reflex (PER) assay", "Chemicals used", "Spectrophotometry analysis", "Lethality profile", "Egg counting", "Developmental profile analysis", "Fly size measurement", "Microscopy used for image analysis and movie making", "Statistical analyses" ]
[ "Humans have an innate liking for sweet taste. Sugars are the main source of energy for almost all living animals. Morbidities caused by the consumption of high amounts of sugar are increasing at an alarming rate, creating a huge economic burden on society and health care systems. In the current world, metabolic disorder- Diabetes is one of the major health threats that causes prolonged ill health, making it one of the leading causes of global mortality. In the absence of preventive measures, around 366 million people worldwide are expected to have diabetes by 2030.1\nAround 80% of the total world’s population still use and rely on traditional medicine including phytochemicals from plants of medicinal importance for their primary health care and to treat various diseases.2–6 One such herb is Gymnema sylvestre commonly called as Gurmar (destroyer of sugar)7 to treat Diabetes mellitus which is caused by the presence of excessive sugar (glucose) in the blood. It has been shown that the chewing of gurmar leaves can cause a temporary loss of the sweet taste sense and curbs the cravings for sugar for a few hours.7–10 The anti-sweet principle in gurmar was found to be ‘gymnemic acid’.10 The anti-sweetness effect of gymnemic acid varies from species to species, even in mammals.11–13\nIn both animals and humans, gurmar increases urine output and reduces hyperglycemia.14 Hot water extract from the leaves of G. sylvestre causes suppression of sweet taste responses in the rat.15 The inhibitory effect of another chemical-gurmarin, was found to be highly specific to the sweet taste response to sucrose, glucose, glycine and saccharin with no effect on salt (NaCl), sour (HCl) and bitter taste (quinine.16 Gurmarin present in leaves of G. sylvestre is a polypeptide that consists of 35 amino acid residues including three intramolecular disulfide bonds.16 Although gurmarin suppresses the sweet taste response in rats, a weak or no effect was seen in human beings.15–17 The absence of available consolidated scientific data for the antidiabetic effect of G. sylvestre from clinical trials calls for the examination of its mechanism of action and the understanding of its effects on sugar taste sensation in animals.\nArtificial sweeteners, sugar concentrations ranging from 100–500 mM and various sweet tasting proteins elicit sweet taste in mammals. The T1R2 and T1R3 heterodimer constitute the sweet taste receptor in mammals.18 Flies also get attracted to many of the sugars that humans consume.19,20\nDrosophila melanogaster is one of the ideal genetic systems to study feeding behaviour. Flies are able to detect and differentiate sugars, bitter substances and other gustatory cues through various taste sensors present on different taste organs. These compounds produce an attractive or repulsive response in behavioural tests that finally leads to acceptance or rejection of food.21,22 60 genes in the gustatory receptor (GR) gene family encode 68 receptor proteins in Drosophila.23–25 The three key gustatory receptors required for sensing sugars (except fructose) in Drosophila are Gr5a, Gr64a and Gr64f.26–30\nTo understand how gurmar modulates feeding behaviour in insects, we used Drosophila as a model system to probe its effect on the sugar feeding behaviour in flies. Our feeding and PER data demonstrate that flies show partial (feeding assays) and almost complete repulsion (PER assays) to different concentrations of gurmar. Flies lay a fewer number of eggs on gurmar media plates. We also observed developmental defects and developmental delay in wildtype flies when grown on gurmar media. We observed that a long starvation time is required after gurmar consumption in flies to suppress sugar intake behaviour. Our data suggest that flies detect gurmar using both taste and olfactory cues.", "Wildtype flies show aversive behaviour to gurmar To understand how flies respond to gurmar, we first tested wildtype (CsBz) flies for their feeding preferences in a feeding assay plate (Figure 1A). For examining the feeding behaviour in feeding assay, batches of flies (20 flies each plate, 10 males + 10 females) were presented with a choice between water and varying concentrations of whole gurmar (2.5%, 5% and 10% raw powdered form dissolved in water). We observed gurmar dry leaves powder does not dissolve completely in water. The same concentrations of gurmar were also tested after mixing it with sucrose (50 mM) and compared with 50 mM sucrose alone (control) (Figure 1B).\nWe found ~ 67% mean feeding responses for 50 mM sucrose. Wildtype flies showed feeding responses of ~ 45% for 2.5% gurmar (with and without sucrose). We observed ~ 10–15% feeding responses for 5% and 10% gurmar and between 30–40% for 5% and 10% gurmar mixed with 50 mM sucrose (Figure 1B). Nonetheless, in all the tested concentrations of gurmar with and without sucrose, we found significant differences when compared to sucrose alone (Figure 1B). We also found significant differences between gurmar alone and gurmar mixed with sucrose at 5% and 10% concentrations (Figure 1B, black and gray bars at 5% and 10% concentration). Since the feeding responses of 10% gurmar and 5% gurmar were not found to be very different from each other and showed a clear aversive behaviour (Figure 1B) later, we used both 5 and 10% gurmar for the rest of the experiments. Our feeding results were confirmed again by measuring the food consumption via spectrophotometry (Figure 1C) separately. The absorbance values (Figure 1C) for 5 and 10% gurmar were found to be reduced compared to 50 mM sucrose alone. We observed a significant difference between 5% gurmar + sucrose and sucrose alone as well in spectrophotometry data (Figure 1C). Our data suggest that gurmar is aversive to flies.\nTo understand how flies respond to gurmar, we first tested wildtype (CsBz) flies for their feeding preferences in a feeding assay plate (Figure 1A). For examining the feeding behaviour in feeding assay, batches of flies (20 flies each plate, 10 males + 10 females) were presented with a choice between water and varying concentrations of whole gurmar (2.5%, 5% and 10% raw powdered form dissolved in water). We observed gurmar dry leaves powder does not dissolve completely in water. The same concentrations of gurmar were also tested after mixing it with sucrose (50 mM) and compared with 50 mM sucrose alone (control) (Figure 1B).\nWe found ~ 67% mean feeding responses for 50 mM sucrose. Wildtype flies showed feeding responses of ~ 45% for 2.5% gurmar (with and without sucrose). We observed ~ 10–15% feeding responses for 5% and 10% gurmar and between 30–40% for 5% and 10% gurmar mixed with 50 mM sucrose (Figure 1B). Nonetheless, in all the tested concentrations of gurmar with and without sucrose, we found significant differences when compared to sucrose alone (Figure 1B). We also found significant differences between gurmar alone and gurmar mixed with sucrose at 5% and 10% concentrations (Figure 1B, black and gray bars at 5% and 10% concentration). Since the feeding responses of 10% gurmar and 5% gurmar were not found to be very different from each other and showed a clear aversive behaviour (Figure 1B) later, we used both 5 and 10% gurmar for the rest of the experiments. Our feeding results were confirmed again by measuring the food consumption via spectrophotometry (Figure 1C) separately. The absorbance values (Figure 1C) for 5 and 10% gurmar were found to be reduced compared to 50 mM sucrose alone. We observed a significant difference between 5% gurmar + sucrose and sucrose alone as well in spectrophotometry data (Figure 1C). Our data suggest that gurmar is aversive to flies.\nGurmar is detected by both taste and olfactory cues To investigate how flies detect gurmar, the main olfactory organ- antennae of the flies were removed. Antenna-less wildtype flies were tested for their feeding behaviour. In the absence of antennae, flies feeding on 5% whole gurmar showed improved and increased feeding responses after starvation in feeding assays when compared to wildtype control flies with intact antennae but not in the case of 10% gurmar (Figure 1D and E, red bars). The feeding responses for 10 and 5% gurmar + 50 mM sucrose were found enhanced as well in case of antennae less flies (Figure 1D and E, gray bars) in comparison to wildtype control flies. Our data suggest that the presence of the main olfactory organ in flies caused further repulsion as seen in control flies (Figure 1B and C). Overall, we found aversion to both 5 and 10% gurmar with and without 50 mM sucrose decreased and feeding responses improved after removing antennae. Our results support that feeding on gurmar with and without sucrose is dependent on both olfaction and taste (Figure 1D and E).\nThe feeding responses of 5 and 10% gurmar alone were less than 20%, we used these two concentrations of gurmar with the increasing concentration of sucrose to test the inhibitory effect of gurmar on sugar feeding behaviour. In our dose-response curves, we observed an increase in mean feeding responses with the increase in sucrose concentrations (Figure 1F). A similar pattern of feeding was observed when sucrose was mixed with 5 and 10% gurmar concentration. Highest responses were observed at 5 and 10% gurmar mixed with 100 mM sucrose (Figure 1F). We found significant feeding differences between sucrose and gurmar mixed with sucrose at all the tested concentrations (except 100 mM 10% gurmar). Our feeding assay results suggest inhibition of sugar feeding in the presence of gurmar (Figure 1F) and gurmar inhibits sucrose provoked feeding responses.\nTo confirm our feeding assay results, we also performed PER (Proboscis Extension Reflex) assay (Figure 2A). Extension of the proboscis is the first step shown by flies in an appetitive behaviour. Compared to 50 mM sucrose (~60% positive PER responses), wildtype flies showed less than 5% response when 2.5% and 5% gurmar were tested in our tarsal PER assay (Figure 2B, black bars). We didn’t see any extension of proboscis at 10% gurmar. Significant differences in PER responses (34%, 26% and 21%) were observed when gurmar mixed 50 mM sucrose was compared with 50 mM sucrose alone (Figure 2B, blue bars). Our PER results suggest gurmar alone acts as an aversive cue to wildtype flies and inhibits sucrose evoked PER responses (Figure 2B).\nTo investigate how flies detect gurmar, the main olfactory organ- antennae of the flies were removed. Antenna-less wildtype flies were tested for their feeding behaviour. In the absence of antennae, flies feeding on 5% whole gurmar showed improved and increased feeding responses after starvation in feeding assays when compared to wildtype control flies with intact antennae but not in the case of 10% gurmar (Figure 1D and E, red bars). The feeding responses for 10 and 5% gurmar + 50 mM sucrose were found enhanced as well in case of antennae less flies (Figure 1D and E, gray bars) in comparison to wildtype control flies. Our data suggest that the presence of the main olfactory organ in flies caused further repulsion as seen in control flies (Figure 1B and C). Overall, we found aversion to both 5 and 10% gurmar with and without 50 mM sucrose decreased and feeding responses improved after removing antennae. Our results support that feeding on gurmar with and without sucrose is dependent on both olfaction and taste (Figure 1D and E).\nThe feeding responses of 5 and 10% gurmar alone were less than 20%, we used these two concentrations of gurmar with the increasing concentration of sucrose to test the inhibitory effect of gurmar on sugar feeding behaviour. In our dose-response curves, we observed an increase in mean feeding responses with the increase in sucrose concentrations (Figure 1F). A similar pattern of feeding was observed when sucrose was mixed with 5 and 10% gurmar concentration. Highest responses were observed at 5 and 10% gurmar mixed with 100 mM sucrose (Figure 1F). We found significant feeding differences between sucrose and gurmar mixed with sucrose at all the tested concentrations (except 100 mM 10% gurmar). Our feeding assay results suggest inhibition of sugar feeding in the presence of gurmar (Figure 1F) and gurmar inhibits sucrose provoked feeding responses.\nTo confirm our feeding assay results, we also performed PER (Proboscis Extension Reflex) assay (Figure 2A). Extension of the proboscis is the first step shown by flies in an appetitive behaviour. Compared to 50 mM sucrose (~60% positive PER responses), wildtype flies showed less than 5% response when 2.5% and 5% gurmar were tested in our tarsal PER assay (Figure 2B, black bars). We didn’t see any extension of proboscis at 10% gurmar. Significant differences in PER responses (34%, 26% and 21%) were observed when gurmar mixed 50 mM sucrose was compared with 50 mM sucrose alone (Figure 2B, blue bars). Our PER results suggest gurmar alone acts as an aversive cue to wildtype flies and inhibits sucrose evoked PER responses (Figure 2B).\nWhole gurmar solution is more aversive to flies than just the extract present in the liquid fraction In our feeding assays, a powdered form of dry gurmar leaves mixed with water and agar was presented to flies. We always observed settled solid particles at the bottom and green liquid solution at the top, suggesting gurmar doesn’t completely dissolve in water. To determine which part of the gurmar solution is aversive to flies, we tested wildtype flies in feeding assays. Flies feeding on the liquid fraction of 10% gurmar + 50 mM sucrose and 5% gurmar + 50 mM sucrose showed improved feeding responses (65–75%) compared to whole gurmar at 10 and 5% concentration when mixed with 50 mM sucrose (40–45%, Figure 2C and D).\nWe also tested flies with 10 and 5% gurmar alone without adding any sucrose (Figure 2C and D) as a negative control. Just like in the case of Figures 1B and C, we again found similar feeding results (<20%) for 10 and 5% gurmar. In the absence of any sucrose, flies feeding on the liquid fraction of 10 and 5% gurmar alone showed ~45% feeding response as seen for 10 and 5% whole gurmar when mixed with 50 mM sucrose (Figure 2C and D). We found a few flies feed on whole gurmar without any added sucrose. Our results suggest that whole gurmar affects feeding behaviour more strongly and is highly aversive in nature, suggesting the presence of an aversive component in the solid particles rather than the liquid fraction.\nIn our feeding assays, a powdered form of dry gurmar leaves mixed with water and agar was presented to flies. We always observed settled solid particles at the bottom and green liquid solution at the top, suggesting gurmar doesn’t completely dissolve in water. To determine which part of the gurmar solution is aversive to flies, we tested wildtype flies in feeding assays. Flies feeding on the liquid fraction of 10% gurmar + 50 mM sucrose and 5% gurmar + 50 mM sucrose showed improved feeding responses (65–75%) compared to whole gurmar at 10 and 5% concentration when mixed with 50 mM sucrose (40–45%, Figure 2C and D).\nWe also tested flies with 10 and 5% gurmar alone without adding any sucrose (Figure 2C and D) as a negative control. Just like in the case of Figures 1B and C, we again found similar feeding results (<20%) for 10 and 5% gurmar. In the absence of any sucrose, flies feeding on the liquid fraction of 10 and 5% gurmar alone showed ~45% feeding response as seen for 10 and 5% whole gurmar when mixed with 50 mM sucrose (Figure 2C and D). We found a few flies feed on whole gurmar without any added sucrose. Our results suggest that whole gurmar affects feeding behaviour more strongly and is highly aversive in nature, suggesting the presence of an aversive component in the solid particles rather than the liquid fraction.\nEffect of gurmar on life span and egg-laying behaviour Our results suggest gurmar is an aversive cue to flies, we further investigated the effect of gurmar on the development of flies. For probing the effect of gurmar on fly development, first, we tested the effect of gurmar on the egg laying behaviour of flies. Egg-laying was performed on the normal media and gurmar plates (gurmar mixed with normal media). Flies on the gurmar plates laid less number of eggs (on 5%- ~110–130 eggs and on 10%-~ 80-100 eggs) compared to normal media flies (~150–170 eggs) (Figure 3A). We also observed that on 5 and 10% gurmar media, the mean number of flies eclosed per vial was less compared to normal media vials (Figure 3B). Our data suggest that gurmar feeding affects the egg laying behaviour in flies that resulted in reduced counts of eggs laid by flies. Altogether our data suggest that gurmar affects the egg-laying behaviour and hence, the total number of eggs laid.\nWe also determined if flies raised on gurmar throughout the development show any developmental defects. We raised the flies at 25°C in the incubator throughout the development. We noticed, the growth of the flies was slower and the flies eclosed late in the case of 5 and 10% gurmar (gurmar mixed with normal food) (Figure 3C) compared with normal media flies (NM vials). Flies growing on normal media eclosed on day 10–11 at 25°C (Figure 3C). On 5% gurmar, flies eclosed on 13–14th day and on 10% gurmar, flies eclosed as adults on day 17–18 (Figure 3C). We also observed that the size of the flies (both male and females) in the case of 10% gurmar was smaller compared to normal media raised (NM) flies (Figure 3D-D”). No differences in body size of flies were observed at 5% gurmar (Figure 3D’ and D”). Our data suggest that continuous consumption of gurmar causes deleterious effects on the development and overall health of the flies.\nWe further investigated the effect of gurmar feeding on the life span of flies. The longevity assay was used to follow the life spans of flies till death. Adult wildtype flies were transferred on the fresh gurmar media (gurmar mixed with normal fly media) and control media every alternative day to avoid any fly death due to soggy media conditions. The flies on 5 (green line) and 10% (red line) gurmar showed shorter life spans compared to normal media flies (65 days) (Figure 3E, blue line). Flies on 10% gurmar died at day 18 and on 5% at day 41 compared to normal media flies which died on day 65. Our data suggest continuous feeding on gurmar causes early lethality in wildtype flies compared to normal media flies (Figure 3E).\nOur results suggest gurmar is an aversive cue to flies, we further investigated the effect of gurmar on the development of flies. For probing the effect of gurmar on fly development, first, we tested the effect of gurmar on the egg laying behaviour of flies. Egg-laying was performed on the normal media and gurmar plates (gurmar mixed with normal media). Flies on the gurmar plates laid less number of eggs (on 5%- ~110–130 eggs and on 10%-~ 80-100 eggs) compared to normal media flies (~150–170 eggs) (Figure 3A). We also observed that on 5 and 10% gurmar media, the mean number of flies eclosed per vial was less compared to normal media vials (Figure 3B). Our data suggest that gurmar feeding affects the egg laying behaviour in flies that resulted in reduced counts of eggs laid by flies. Altogether our data suggest that gurmar affects the egg-laying behaviour and hence, the total number of eggs laid.\nWe also determined if flies raised on gurmar throughout the development show any developmental defects. We raised the flies at 25°C in the incubator throughout the development. We noticed, the growth of the flies was slower and the flies eclosed late in the case of 5 and 10% gurmar (gurmar mixed with normal food) (Figure 3C) compared with normal media flies (NM vials). Flies growing on normal media eclosed on day 10–11 at 25°C (Figure 3C). On 5% gurmar, flies eclosed on 13–14th day and on 10% gurmar, flies eclosed as adults on day 17–18 (Figure 3C). We also observed that the size of the flies (both male and females) in the case of 10% gurmar was smaller compared to normal media raised (NM) flies (Figure 3D-D”). No differences in body size of flies were observed at 5% gurmar (Figure 3D’ and D”). Our data suggest that continuous consumption of gurmar causes deleterious effects on the development and overall health of the flies.\nWe further investigated the effect of gurmar feeding on the life span of flies. The longevity assay was used to follow the life spans of flies till death. Adult wildtype flies were transferred on the fresh gurmar media (gurmar mixed with normal fly media) and control media every alternative day to avoid any fly death due to soggy media conditions. The flies on 5 (green line) and 10% (red line) gurmar showed shorter life spans compared to normal media flies (65 days) (Figure 3E, blue line). Flies on 10% gurmar died at day 18 and on 5% at day 41 compared to normal media flies which died on day 65. Our data suggest continuous feeding on gurmar causes early lethality in wildtype flies compared to normal media flies (Figure 3E).\nEffect of gurmar on sugar intake in flies To test the effect of gurmar on sugar intake in flies, wildtype flies were fed for 2 days with 5 and 10% gurmar mixed with the normal media. Later flies were tested for their consumption of 50 mM sucrose in our 2 h feeding assay. Flies on normal media without any gurmar were used as a control. Two sets of flies were tested; one set was tested after 24hrs starvation and the other set was tested without any starvation (no starvation). Under no starvation condition, normal media wildtype flies consumed less sugar (~20–30% feeding response; Figure 4A, C and E) compared to 24 h starvation (~ 80–90% feeding response) flies on normal media (Figure 4B, D and F).\nIn case of both 10 and 5% gurmar, under no starvation condition almost 80–90% of flies fed on sugar (Figure 4A, C and E) compared to the starvation condition (24 h). We observed feeding responses were reduced to half ~30–50% in case of 10 and 5% gurmar fed flies after starvation (Figure 4B, D and F). Male flies specifically showed lower feeding (~5–10%) on 50 mM sucrose compared to female flies (Figure 4G and H) when males and females were tested separately after 24 h starvation. Under the no starvation condition, feeding responses of males and females were not significantly different (Figure 4G and H). We found no immediate effect of gurmar on sugar intake, in fact, we saw enhanced feeding on sugar in a fed state. Our data showed reduced sugar consumption only after starvation (24 h). Altogether our results suggest that the effect of gurmar is internal state dependent and sexually dimorphic as observed for reduced sugar intake in males after 24hrs of starvation.\nA similar reduction in sugar consumption under starvation was also observed for many other sugars, namely 100 mM sucrose, fructose, trehalose, D-glucose, L-glucose, galactose, arabinose and sorbitol, except sucralose, L-glucose and galactose (Figure 5A). We also tested other taste categories including 50 and 200 mM NaCl and found no difference in feeding between normal media, 5 and 10% gurmar media condition (Figure 5B). Feeding responses for bitter compounds 10 mM caffeine, 1 mM denatonium and 1 mM quanine were no different between normal media, 5 and 10% gurmar media condition (Figure 5C). Various acids tested at 1% concentration also showed no difference in feeding (Figure 5D).\nAs a whole, our results suggest that gurmar modulates only sugar taste behaviour (although not all sugars) and the phenotype is specific for sugars. In general, wild type flies feeding on low-calorie sweeteners including sucralose, L-glucose and galactose showed lower feeding responses (<50%) under all conditions. Our model supports the mechanism where gurmar affects sugar intake in two different internal states (fed and starved, Figure 6). Under the fed condition, flies pre-fed on gurmar consume a high amount of sugar compared to normal media hungry flies (starved 24hrs) (Figure 6). Only after 24hrs of starvation time, flies pre-fed with gurmar showed reduced feeding suggesting a modulatory effect of gurmar on sweet taste behaviour. Where (brain or periphery) gurmar acts to cause the sweet taste modulation invites further probing. There is a possibility that taste memories under different internal states caused feeding differences in fed and starved flies. Also, the role of gurmar in altering the neuropeptides regulating feeding behaviour and its effect on the satiety region of the brain cannot be ignored which needs future investigation.\nTo test the effect of gurmar on sugar intake in flies, wildtype flies were fed for 2 days with 5 and 10% gurmar mixed with the normal media. Later flies were tested for their consumption of 50 mM sucrose in our 2 h feeding assay. Flies on normal media without any gurmar were used as a control. Two sets of flies were tested; one set was tested after 24hrs starvation and the other set was tested without any starvation (no starvation). Under no starvation condition, normal media wildtype flies consumed less sugar (~20–30% feeding response; Figure 4A, C and E) compared to 24 h starvation (~ 80–90% feeding response) flies on normal media (Figure 4B, D and F).\nIn case of both 10 and 5% gurmar, under no starvation condition almost 80–90% of flies fed on sugar (Figure 4A, C and E) compared to the starvation condition (24 h). We observed feeding responses were reduced to half ~30–50% in case of 10 and 5% gurmar fed flies after starvation (Figure 4B, D and F). Male flies specifically showed lower feeding (~5–10%) on 50 mM sucrose compared to female flies (Figure 4G and H) when males and females were tested separately after 24 h starvation. Under the no starvation condition, feeding responses of males and females were not significantly different (Figure 4G and H). We found no immediate effect of gurmar on sugar intake, in fact, we saw enhanced feeding on sugar in a fed state. Our data showed reduced sugar consumption only after starvation (24 h). Altogether our results suggest that the effect of gurmar is internal state dependent and sexually dimorphic as observed for reduced sugar intake in males after 24hrs of starvation.\nA similar reduction in sugar consumption under starvation was also observed for many other sugars, namely 100 mM sucrose, fructose, trehalose, D-glucose, L-glucose, galactose, arabinose and sorbitol, except sucralose, L-glucose and galactose (Figure 5A). We also tested other taste categories including 50 and 200 mM NaCl and found no difference in feeding between normal media, 5 and 10% gurmar media condition (Figure 5B). Feeding responses for bitter compounds 10 mM caffeine, 1 mM denatonium and 1 mM quanine were no different between normal media, 5 and 10% gurmar media condition (Figure 5C). Various acids tested at 1% concentration also showed no difference in feeding (Figure 5D).\nAs a whole, our results suggest that gurmar modulates only sugar taste behaviour (although not all sugars) and the phenotype is specific for sugars. In general, wild type flies feeding on low-calorie sweeteners including sucralose, L-glucose and galactose showed lower feeding responses (<50%) under all conditions. Our model supports the mechanism where gurmar affects sugar intake in two different internal states (fed and starved, Figure 6). Under the fed condition, flies pre-fed on gurmar consume a high amount of sugar compared to normal media hungry flies (starved 24hrs) (Figure 6). Only after 24hrs of starvation time, flies pre-fed with gurmar showed reduced feeding suggesting a modulatory effect of gurmar on sweet taste behaviour. Where (brain or periphery) gurmar acts to cause the sweet taste modulation invites further probing. There is a possibility that taste memories under different internal states caused feeding differences in fed and starved flies. Also, the role of gurmar in altering the neuropeptides regulating feeding behaviour and its effect on the satiety region of the brain cannot be ignored which needs future investigation.", "To understand how flies respond to gurmar, we first tested wildtype (CsBz) flies for their feeding preferences in a feeding assay plate (Figure 1A). For examining the feeding behaviour in feeding assay, batches of flies (20 flies each plate, 10 males + 10 females) were presented with a choice between water and varying concentrations of whole gurmar (2.5%, 5% and 10% raw powdered form dissolved in water). We observed gurmar dry leaves powder does not dissolve completely in water. The same concentrations of gurmar were also tested after mixing it with sucrose (50 mM) and compared with 50 mM sucrose alone (control) (Figure 1B).\nWe found ~ 67% mean feeding responses for 50 mM sucrose. Wildtype flies showed feeding responses of ~ 45% for 2.5% gurmar (with and without sucrose). We observed ~ 10–15% feeding responses for 5% and 10% gurmar and between 30–40% for 5% and 10% gurmar mixed with 50 mM sucrose (Figure 1B). Nonetheless, in all the tested concentrations of gurmar with and without sucrose, we found significant differences when compared to sucrose alone (Figure 1B). We also found significant differences between gurmar alone and gurmar mixed with sucrose at 5% and 10% concentrations (Figure 1B, black and gray bars at 5% and 10% concentration). Since the feeding responses of 10% gurmar and 5% gurmar were not found to be very different from each other and showed a clear aversive behaviour (Figure 1B) later, we used both 5 and 10% gurmar for the rest of the experiments. Our feeding results were confirmed again by measuring the food consumption via spectrophotometry (Figure 1C) separately. The absorbance values (Figure 1C) for 5 and 10% gurmar were found to be reduced compared to 50 mM sucrose alone. We observed a significant difference between 5% gurmar + sucrose and sucrose alone as well in spectrophotometry data (Figure 1C). Our data suggest that gurmar is aversive to flies.", "To investigate how flies detect gurmar, the main olfactory organ- antennae of the flies were removed. Antenna-less wildtype flies were tested for their feeding behaviour. In the absence of antennae, flies feeding on 5% whole gurmar showed improved and increased feeding responses after starvation in feeding assays when compared to wildtype control flies with intact antennae but not in the case of 10% gurmar (Figure 1D and E, red bars). The feeding responses for 10 and 5% gurmar + 50 mM sucrose were found enhanced as well in case of antennae less flies (Figure 1D and E, gray bars) in comparison to wildtype control flies. Our data suggest that the presence of the main olfactory organ in flies caused further repulsion as seen in control flies (Figure 1B and C). Overall, we found aversion to both 5 and 10% gurmar with and without 50 mM sucrose decreased and feeding responses improved after removing antennae. Our results support that feeding on gurmar with and without sucrose is dependent on both olfaction and taste (Figure 1D and E).\nThe feeding responses of 5 and 10% gurmar alone were less than 20%, we used these two concentrations of gurmar with the increasing concentration of sucrose to test the inhibitory effect of gurmar on sugar feeding behaviour. In our dose-response curves, we observed an increase in mean feeding responses with the increase in sucrose concentrations (Figure 1F). A similar pattern of feeding was observed when sucrose was mixed with 5 and 10% gurmar concentration. Highest responses were observed at 5 and 10% gurmar mixed with 100 mM sucrose (Figure 1F). We found significant feeding differences between sucrose and gurmar mixed with sucrose at all the tested concentrations (except 100 mM 10% gurmar). Our feeding assay results suggest inhibition of sugar feeding in the presence of gurmar (Figure 1F) and gurmar inhibits sucrose provoked feeding responses.\nTo confirm our feeding assay results, we also performed PER (Proboscis Extension Reflex) assay (Figure 2A). Extension of the proboscis is the first step shown by flies in an appetitive behaviour. Compared to 50 mM sucrose (~60% positive PER responses), wildtype flies showed less than 5% response when 2.5% and 5% gurmar were tested in our tarsal PER assay (Figure 2B, black bars). We didn’t see any extension of proboscis at 10% gurmar. Significant differences in PER responses (34%, 26% and 21%) were observed when gurmar mixed 50 mM sucrose was compared with 50 mM sucrose alone (Figure 2B, blue bars). Our PER results suggest gurmar alone acts as an aversive cue to wildtype flies and inhibits sucrose evoked PER responses (Figure 2B).", "In our feeding assays, a powdered form of dry gurmar leaves mixed with water and agar was presented to flies. We always observed settled solid particles at the bottom and green liquid solution at the top, suggesting gurmar doesn’t completely dissolve in water. To determine which part of the gurmar solution is aversive to flies, we tested wildtype flies in feeding assays. Flies feeding on the liquid fraction of 10% gurmar + 50 mM sucrose and 5% gurmar + 50 mM sucrose showed improved feeding responses (65–75%) compared to whole gurmar at 10 and 5% concentration when mixed with 50 mM sucrose (40–45%, Figure 2C and D).\nWe also tested flies with 10 and 5% gurmar alone without adding any sucrose (Figure 2C and D) as a negative control. Just like in the case of Figures 1B and C, we again found similar feeding results (<20%) for 10 and 5% gurmar. In the absence of any sucrose, flies feeding on the liquid fraction of 10 and 5% gurmar alone showed ~45% feeding response as seen for 10 and 5% whole gurmar when mixed with 50 mM sucrose (Figure 2C and D). We found a few flies feed on whole gurmar without any added sucrose. Our results suggest that whole gurmar affects feeding behaviour more strongly and is highly aversive in nature, suggesting the presence of an aversive component in the solid particles rather than the liquid fraction.", "Our results suggest gurmar is an aversive cue to flies, we further investigated the effect of gurmar on the development of flies. For probing the effect of gurmar on fly development, first, we tested the effect of gurmar on the egg laying behaviour of flies. Egg-laying was performed on the normal media and gurmar plates (gurmar mixed with normal media). Flies on the gurmar plates laid less number of eggs (on 5%- ~110–130 eggs and on 10%-~ 80-100 eggs) compared to normal media flies (~150–170 eggs) (Figure 3A). We also observed that on 5 and 10% gurmar media, the mean number of flies eclosed per vial was less compared to normal media vials (Figure 3B). Our data suggest that gurmar feeding affects the egg laying behaviour in flies that resulted in reduced counts of eggs laid by flies. Altogether our data suggest that gurmar affects the egg-laying behaviour and hence, the total number of eggs laid.\nWe also determined if flies raised on gurmar throughout the development show any developmental defects. We raised the flies at 25°C in the incubator throughout the development. We noticed, the growth of the flies was slower and the flies eclosed late in the case of 5 and 10% gurmar (gurmar mixed with normal food) (Figure 3C) compared with normal media flies (NM vials). Flies growing on normal media eclosed on day 10–11 at 25°C (Figure 3C). On 5% gurmar, flies eclosed on 13–14th day and on 10% gurmar, flies eclosed as adults on day 17–18 (Figure 3C). We also observed that the size of the flies (both male and females) in the case of 10% gurmar was smaller compared to normal media raised (NM) flies (Figure 3D-D”). No differences in body size of flies were observed at 5% gurmar (Figure 3D’ and D”). Our data suggest that continuous consumption of gurmar causes deleterious effects on the development and overall health of the flies.\nWe further investigated the effect of gurmar feeding on the life span of flies. The longevity assay was used to follow the life spans of flies till death. Adult wildtype flies were transferred on the fresh gurmar media (gurmar mixed with normal fly media) and control media every alternative day to avoid any fly death due to soggy media conditions. The flies on 5 (green line) and 10% (red line) gurmar showed shorter life spans compared to normal media flies (65 days) (Figure 3E, blue line). Flies on 10% gurmar died at day 18 and on 5% at day 41 compared to normal media flies which died on day 65. Our data suggest continuous feeding on gurmar causes early lethality in wildtype flies compared to normal media flies (Figure 3E).", "To test the effect of gurmar on sugar intake in flies, wildtype flies were fed for 2 days with 5 and 10% gurmar mixed with the normal media. Later flies were tested for their consumption of 50 mM sucrose in our 2 h feeding assay. Flies on normal media without any gurmar were used as a control. Two sets of flies were tested; one set was tested after 24hrs starvation and the other set was tested without any starvation (no starvation). Under no starvation condition, normal media wildtype flies consumed less sugar (~20–30% feeding response; Figure 4A, C and E) compared to 24 h starvation (~ 80–90% feeding response) flies on normal media (Figure 4B, D and F).\nIn case of both 10 and 5% gurmar, under no starvation condition almost 80–90% of flies fed on sugar (Figure 4A, C and E) compared to the starvation condition (24 h). We observed feeding responses were reduced to half ~30–50% in case of 10 and 5% gurmar fed flies after starvation (Figure 4B, D and F). Male flies specifically showed lower feeding (~5–10%) on 50 mM sucrose compared to female flies (Figure 4G and H) when males and females were tested separately after 24 h starvation. Under the no starvation condition, feeding responses of males and females were not significantly different (Figure 4G and H). We found no immediate effect of gurmar on sugar intake, in fact, we saw enhanced feeding on sugar in a fed state. Our data showed reduced sugar consumption only after starvation (24 h). Altogether our results suggest that the effect of gurmar is internal state dependent and sexually dimorphic as observed for reduced sugar intake in males after 24hrs of starvation.\nA similar reduction in sugar consumption under starvation was also observed for many other sugars, namely 100 mM sucrose, fructose, trehalose, D-glucose, L-glucose, galactose, arabinose and sorbitol, except sucralose, L-glucose and galactose (Figure 5A). We also tested other taste categories including 50 and 200 mM NaCl and found no difference in feeding between normal media, 5 and 10% gurmar media condition (Figure 5B). Feeding responses for bitter compounds 10 mM caffeine, 1 mM denatonium and 1 mM quanine were no different between normal media, 5 and 10% gurmar media condition (Figure 5C). Various acids tested at 1% concentration also showed no difference in feeding (Figure 5D).\nAs a whole, our results suggest that gurmar modulates only sugar taste behaviour (although not all sugars) and the phenotype is specific for sugars. In general, wild type flies feeding on low-calorie sweeteners including sucralose, L-glucose and galactose showed lower feeding responses (<50%) under all conditions. Our model supports the mechanism where gurmar affects sugar intake in two different internal states (fed and starved, Figure 6). Under the fed condition, flies pre-fed on gurmar consume a high amount of sugar compared to normal media hungry flies (starved 24hrs) (Figure 6). Only after 24hrs of starvation time, flies pre-fed with gurmar showed reduced feeding suggesting a modulatory effect of gurmar on sweet taste behaviour. Where (brain or periphery) gurmar acts to cause the sweet taste modulation invites further probing. There is a possibility that taste memories under different internal states caused feeding differences in fed and starved flies. Also, the role of gurmar in altering the neuropeptides regulating feeding behaviour and its effect on the satiety region of the brain cannot be ignored which needs future investigation.", "Taste preference is essential for the evaluation of food by the animals. Sweet compounds provide energy to nearly all animals however, consumption of sugar should be regulated to maintain the proper body weight and overall fitness. People suffering from diabetes use different treatments to maintain their body weight and lower sugar levels. Our study used gurmar, which is in use for suppressing the craving for sugars and for balancing sugar levels in the body. Although, G. sylvestre use to control diabetes is well known in traditional systems of medicine and several studies have been conducted to report the antidiabetic properties and efficacy of G. sylvestre,31–34 but the scientific validation to establish the fact by conducting clinical trials with diabetic patients31 is lacking. Clinical trials done so far have used either crude extracts or whole leaf powder supporting the antidiabetic properties of G. sylvestre either by increased hypoglycemic activity35 or enhanced insulin levels to a certain extent.31 Without knowing the exact mechanism and their after effects, the product is in use in raw powdered form (dry leaf powder). Even though various studies have suggested different doses for the treatment, the dose which is safe for human consumption is not clearly defined. Our study supports the role of gurmar in its raw powdered form in reducing partial sugar consumption in flies but only after a long starvation period (Figure 4 and 5). Our study presents evidences that flies perceive gurmar as an aversive cue and detect gurmar using both taste and olfactory systems (Figure 1 and 2).\nSome clinical trials have been conducted using a water soluble extract of the leaves of G. sylvestre at a dosage of 400 mg/day in patients.36 Absence of antidiabetic and hypolipidemic effects of G. sylvestre in non-diabetic and alloxan-diabetic rats have also been reported.37 The rats fed with G. sylvestre leaf powder in the diet for 10 days prior and 15 days after the treatment of beryllium nitrate significantly protect the animals from the complete fall of blood glucose.38 Our data suggest that flies pre-fed with gurmar consume less sugar only after at least 24 h of starvation time (Figure 4 and 5). We didn’t observe any immediate effect of gurmar in altering the sugar feeding behaviour, in fact, flies with no starvation flies consumed more sugar compared to control wildtype flies on normal media (Figure 4). Our study presents results suggesting that although gurmar (in its dry leaf powdered form) has modulatory effects on sweet taste behaviour, but it takes much longer to show a reduction in sugar intake (Figure 4 and 5). So far no other study has presented a clear time scale where gurmar suppresses sugar consumption partially or completely.\nPharmacological studies suggest that the water extracts of G. sylvestre leaves effectively treat diabetes mellitus.39 Similarly in rats, water extract of G. sylvestre leaves inhibit the absorption of glucose in the small intestine and suppress the increase of blood glucose value after administration of sucrose.40 So far no study has highlighted the effect of gurmar under different internal states (fasting verses non-fasting) on the consumption of sugar in any animal model. Moreover, our results suggest that whole gurmar (dry leaf powder) consumption has deleterious effects on the development and overall health of the organism as seen here in the case of Drosophila (Figure 3C). Our data suggest that one has to be cautious when considering such ways of treating diabetes or to control the body weight.\nThe effect of G. sylvestre in alloxan induced diabetic rabbits by feeding crude leaf powder at a dosage of 250 mg/kg body weight once a day (did not feed animals every time before the meal) produced blood glucose homeostasis and increased activities of enzymes affording the utilization of glucose by insulin dependent pathways. The inhibitory effects of G. sylvestre and purified gymnemic acid on Gastric Inhibitory Peptide (GIP) release were studied in rats. The inhibition of GIP release by gymnemic acid was attributed to the interaction with the glucose receptor and found similar in specificity to the active glucose transport system. These results suggested that a glucose receptor interacts with the leaf extracts of G. sylvestre and purified gymnemic acid.41 We also found a reduction in sugar intake for many sugars after a long starvation time in our invertebrate model system (Figure 5A). Our studies do not claim where and how gurmar interacts to modulate the sweet taste behaviour. The identity of specific sugar receptor or neurons that interacts with gurmar is yet to be found. Our data suggest that gurmar might possibly interact with many sugar receptors in flies to modulate sugar consumption depending on the internal state of the animal and may have effects on higher brain centres (memory) as well (Figure 6).\nModern dietary supplements containing G. sylvestre, taken by diabetic patients, are typically intended to control sugar cravings and help with weight loss.36 Hence, many pieces of evidence have supported the fact that gurmar reduces the blood sugar level. Our study focused for the first time on how whole gurmar (in raw dry leaves powdered form) acts on sweet taste feeding behaviour and alters the sugar intake in insects. For the same, we have compared our results in the healthy wildtype flies without using any obese or mutant flies that suffer from high levels of circulating sugar in the body. Our data on gurmar suggests that apart from its modulatory effects on sugar intake after starvation, it has detrimental effects on the health of the flies if fed throughout (Figure 3). Also, flies lay a fewer number of eggs on gurmar media and die earlier (Figure 3B), suggesting its potential in developing cost-effective strategies for pest control using the raw powdered form of gurmar.\nHow gurmar blocks the sugar receptors and acts on taste circuits or higher brain centres to modulate the sugar feeding is not known (Figure 6). Detailed examination of the impact of gurmar molecularly and behaviourally on appetitive cues like sugar on the brain’s reward circuitry that leads to overeating and metabolic issues will further help in understanding underlying mechanisms that drive changes in neural activity. Understanding how gurmar reshapes sugar taste curves to promote reduced consumption of carbohydrates and sugars in flies may open up avenues to help people with health issues related to high sugar consumption by reducing sugar intake to the recommended level. Our study is an advancement in the understanding of how gurmar intake modulates sweet taste behaviour using Drosophila as a model system. This is the first kind of study that shows modulation of sweet taste behaviour in two different internal states (fed and starved) after pre-consumption of gurmar in flies. We do not intend to claim that these results support or are in in contradiction of gurmar usage by humans.", "Fly stocks CsBz wildtype flies were received from National Centre for Biological Sciences (NCBS-TIFR), Bangalore, India. Drosophila were reared on standard cornmeal dextrose medium at 25° C, unless specified otherwise.\nThe media composition for Drosophila used is (1 liter of media) - corn flour (80 g), D-glucose (20 g, SRL-CAS Number-50-99-7), Sugar (40 g), Agar (8 g, SRL-CAS Number-9002-18-0), Yeast powder [15 g, SRL-REF-34266 (YI 012)], propionic acid (4 ml, SRL, CAS Number-79-09-4), TEGO (1.25 g in 3 ml of ethanol, fisher scientific, CAS Number-99-76-3), and Orthophosphoric acid (600ul, SRL, CAS Number-7664-38-2).\nCsBz wildtype flies were received from National Centre for Biological Sciences (NCBS-TIFR), Bangalore, India. Drosophila were reared on standard cornmeal dextrose medium at 25° C, unless specified otherwise.\nThe media composition for Drosophila used is (1 liter of media) - corn flour (80 g), D-glucose (20 g, SRL-CAS Number-50-99-7), Sugar (40 g), Agar (8 g, SRL-CAS Number-9002-18-0), Yeast powder [15 g, SRL-REF-34266 (YI 012)], propionic acid (4 ml, SRL, CAS Number-79-09-4), TEGO (1.25 g in 3 ml of ethanol, fisher scientific, CAS Number-99-76-3), and Orthophosphoric acid (600ul, SRL, CAS Number-7664-38-2).\nFeeding assays For binary choice feeding assays, wildtype flies were raised from eggs to adults at 25° C. Flies were sorted in vials of 10 males and 10 females (20 flies/vial) upon eclosion and maintained at 25° C for 3 days on fresh media, after which flies were starved for 24 h at 25° C. Flies were tested as described previously,42,43 and abdominal coloration was scored as positive if there was any pink or red eating. Purple scored as 1/2 (when consumed red and blue dyes both) and none (no visible pink or red coloration). 60 × 15 mm feeding plates from Tarsons were used for the assay.\n% flies feeding was calculated as follows: First, we calculated % flies feeding on gurmar for each plate. Later mean of % flies feeding for 6 plates was calculated.\nFor binary choice feeding assays, wildtype flies were raised from eggs to adults at 25° C. Flies were sorted in vials of 10 males and 10 females (20 flies/vial) upon eclosion and maintained at 25° C for 3 days on fresh media, after which flies were starved for 24 h at 25° C. Flies were tested as described previously,42,43 and abdominal coloration was scored as positive if there was any pink or red eating. Purple scored as 1/2 (when consumed red and blue dyes both) and none (no visible pink or red coloration). 60 × 15 mm feeding plates from Tarsons were used for the assay.\n% flies feeding was calculated as follows: First, we calculated % flies feeding on gurmar for each plate. Later mean of % flies feeding for 6 plates was calculated.\nTarsal proboscis extension reflex (PER) assay 2–3 days old wildtype flies were collected after eclosion and kept on standard food for 3 days. Mix of both male and female flies were used for the PER assay. Flies were tested as described previously,43 Before the assay, flies were starved for 24 h in vials with water-saturated (4 ml) tissue papers. Prior to the PER experiment, no chemical anesthesia was used, instead flies were immobilized by cooling on ice for at least 20 min and then mounted using nail polish, vertical aspect up, on glass slides (76 mm × 26 mm × 1 mm from Borosil). Mounted flies were allowed to recover in a moist chamber (plastic box with wet tissues) for at least 1–2 h prior to testing. Tastant solutions prepared in water were applied directly to tarsi via a drop extruded using 2-ul pipette. Flies were allowed to drink water ad libitum before testing the compounds. Flies not responding to water were excluded before the assay. Flies showing no movement were also excluded. Flies satiated with water were then tested with sucrose and gurmar (whole gurmar with liquid and solid particles floating was taken immediately after vortexing). Ingestion of any tastant solutions was not allowed and following each tastant application, flies were retested with water as a negative control. Each fly was tested five times with tastant solution stimuli (tastant was directly applied to the tarsi). The interval between consecutive tastant solution applications was at least 2–3 min to minimize adaptation. Flies showing three or more proboscis extensions were considered responders.\nFor all PER experiments, three sets of at least 20 flies each were tested and the percentage of responders was calculated for each set. PER graphs depict mean responses and error bars indicate standard error of the mean (SEM).\n2–3 days old wildtype flies were collected after eclosion and kept on standard food for 3 days. Mix of both male and female flies were used for the PER assay. Flies were tested as described previously,43 Before the assay, flies were starved for 24 h in vials with water-saturated (4 ml) tissue papers. Prior to the PER experiment, no chemical anesthesia was used, instead flies were immobilized by cooling on ice for at least 20 min and then mounted using nail polish, vertical aspect up, on glass slides (76 mm × 26 mm × 1 mm from Borosil). Mounted flies were allowed to recover in a moist chamber (plastic box with wet tissues) for at least 1–2 h prior to testing. Tastant solutions prepared in water were applied directly to tarsi via a drop extruded using 2-ul pipette. Flies were allowed to drink water ad libitum before testing the compounds. Flies not responding to water were excluded before the assay. Flies showing no movement were also excluded. Flies satiated with water were then tested with sucrose and gurmar (whole gurmar with liquid and solid particles floating was taken immediately after vortexing). Ingestion of any tastant solutions was not allowed and following each tastant application, flies were retested with water as a negative control. Each fly was tested five times with tastant solution stimuli (tastant was directly applied to the tarsi). The interval between consecutive tastant solution applications was at least 2–3 min to minimize adaptation. Flies showing three or more proboscis extensions were considered responders.\nFor all PER experiments, three sets of at least 20 flies each were tested and the percentage of responders was calculated for each set. PER graphs depict mean responses and error bars indicate standard error of the mean (SEM).\nChemicals used All the sugars used in the study were obtained from Sigma Aldrich- Sucrose (57-50-1), Fructose (57-48-7), Trehalose (6138-23-4), Sucralose, D-(+)-Glucose (50-99-7), L-(-)-Glucose (921-60-8), Galactose (59-23-4), Arabinose (10323-20-3), Sorbitol (50-70-4). NaCl salt (fisher Scientific- 7647-14-5) was of 99.9% purity. Gurmar (Neutraved Gurmar powder from Amazon), Blue dye- Indigo carmine (Sigma: 860-22-0) and Red dye-Sulforhodamine B (Sigma- 3520-42-1). Bitter and acid compounds used were also obtained from Sigma Aldrich- Caffeine (58-08-2), Denetonium Benzoate (3734-33-6), Quinine (130-95-0), Linolenic Acid (60-33-3), Octanoic Acid (124-07-2), Hexanoic Acid (142-62-1), Acetic Acid (64-19-7), Citric Acid (5949-29-1), Glycolic Acid (79-14-1).\nAll the sugars used in the study were obtained from Sigma Aldrich- Sucrose (57-50-1), Fructose (57-48-7), Trehalose (6138-23-4), Sucralose, D-(+)-Glucose (50-99-7), L-(-)-Glucose (921-60-8), Galactose (59-23-4), Arabinose (10323-20-3), Sorbitol (50-70-4). NaCl salt (fisher Scientific- 7647-14-5) was of 99.9% purity. Gurmar (Neutraved Gurmar powder from Amazon), Blue dye- Indigo carmine (Sigma: 860-22-0) and Red dye-Sulforhodamine B (Sigma- 3520-42-1). Bitter and acid compounds used were also obtained from Sigma Aldrich- Caffeine (58-08-2), Denetonium Benzoate (3734-33-6), Quinine (130-95-0), Linolenic Acid (60-33-3), Octanoic Acid (124-07-2), Hexanoic Acid (142-62-1), Acetic Acid (64-19-7), Citric Acid (5949-29-1), Glycolic Acid (79-14-1).\nSpectrophotometry analysis After 2 h of feeding on blue spots with the tastant (50 mM sucrose, 2.5% gurmar, 5% gurmar, 10% gurmar and various concentrations of gurmar mixed with sucrose) flies were pooled in equal numbers (60 flies × 2 sets) for each condition and were put in 2 ml eppendorf in 70% ethanol (Figure 1C). Flies were first crushed in 150ul of 70% ethanol and then 150ul 70% ethanol was added to crush them more. After crushing, 200 ul of double-distilled water (to remove the content sticking to the pestle and wall of the eppendorf tube) was added in the same soup and centrifugation was done at 3000 rpm for 15 min. After centrifugation, the pellet was discarded and the supernatant was transferred into the fresh eppendorfs. To do the spectrophotometry analysis, the supernatant was further diluted with 350 ul double distilled water to make up the total final volume of 600ul in the cuvette. Spectrophotometry analysis was done at 630 nm wavelength. Readings were taken for each sample and only the mean values were plotted. The spectrophotometer used was Perkin Elmer, lambda 35 UV/VIS Spectrometer.\nAfter 2 h of feeding on blue spots with the tastant (50 mM sucrose, 2.5% gurmar, 5% gurmar, 10% gurmar and various concentrations of gurmar mixed with sucrose) flies were pooled in equal numbers (60 flies × 2 sets) for each condition and were put in 2 ml eppendorf in 70% ethanol (Figure 1C). Flies were first crushed in 150ul of 70% ethanol and then 150ul 70% ethanol was added to crush them more. After crushing, 200 ul of double-distilled water (to remove the content sticking to the pestle and wall of the eppendorf tube) was added in the same soup and centrifugation was done at 3000 rpm for 15 min. After centrifugation, the pellet was discarded and the supernatant was transferred into the fresh eppendorfs. To do the spectrophotometry analysis, the supernatant was further diluted with 350 ul double distilled water to make up the total final volume of 600ul in the cuvette. Spectrophotometry analysis was done at 630 nm wavelength. Readings were taken for each sample and only the mean values were plotted. The spectrophotometer used was Perkin Elmer, lambda 35 UV/VIS Spectrometer.\nLethality profile To calculate the number of flies dying on 5 and 10% gurmar mixed with fly media, for each concentration of gurmar 20 flies in each vial (10 male and 10 females) were kept in batches (X6). Flies were transferred on alternate days to fresh media and the number of flies dying every day were counted for the days specified in the graph. Flies kept on normal media were used as the control.\nTo calculate the number of flies dying on 5 and 10% gurmar mixed with fly media, for each concentration of gurmar 20 flies in each vial (10 male and 10 females) were kept in batches (X6). Flies were transferred on alternate days to fresh media and the number of flies dying every day were counted for the days specified in the graph. Flies kept on normal media were used as the control.\nEgg counting Mated flies were kept on normal media first to synchronize the flies and then shifted to different media conditions (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media) for egg laying. Synchronization was done for two days by transferring flies on normal media for each condition at least three times a day. Each vial had 25 females and 15 males (N = 6 vials for each condition). Flies were transferred on different media plates for egg collection. Yeast paste was used to stimulate the mating. After 20 h, flies were removed from the egg chamber plates (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media). After egg laying, the number of eggs was counted for each plate and mean number of eggs was calculated and plotted for each condition.\nMated flies were kept on normal media first to synchronize the flies and then shifted to different media conditions (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media) for egg laying. Synchronization was done for two days by transferring flies on normal media for each condition at least three times a day. Each vial had 25 females and 15 males (N = 6 vials for each condition). Flies were transferred on different media plates for egg collection. Yeast paste was used to stimulate the mating. After 20 h, flies were removed from the egg chamber plates (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media). After egg laying, the number of eggs was counted for each plate and mean number of eggs was calculated and plotted for each condition.\nDevelopmental profile analysis Synchronized flies were transferred to fresh normal media vials, 5% gurmar mixed in normal media vials and 10% gurmar mixed in normal media vials. Flies were allowed to lay eggs for two days and later removed from the vials. Fly development, eclosion time and total flies emerged were observed for the next 7 days. N = 6 vials (20 flies each).\nSynchronized flies were transferred to fresh normal media vials, 5% gurmar mixed in normal media vials and 10% gurmar mixed in normal media vials. Flies were allowed to lay eggs for two days and later removed from the vials. Fly development, eclosion time and total flies emerged were observed for the next 7 days. N = 6 vials (20 flies each).\nFly size measurement While measuring the length of the flies only the body was considered. Wings were not considered to measure body size.\nWhile measuring the length of the flies only the body was considered. Wings were not considered to measure body size.\nMicroscopy used for image analysis and movie making Olympus SZX10 dual tube microscope was used for generating images and Olympus SZ61 stereomicroscopes for doing the general fly pushing.\nOlympus SZX10 dual tube microscope was used for generating images and Olympus SZ61 stereomicroscopes for doing the general fly pushing.\nStatistical analyses Unless otherwise stated, differences between means of different groups were evaluated for statistical significance with parametric ANOVA followed by post hoc Tukey multiple comparisons test for obtaining the p- values. For any other statistical analysis as well, only ANOVA was used.\nUnless otherwise stated, differences between means of different groups were evaluated for statistical significance with parametric ANOVA followed by post hoc Tukey multiple comparisons test for obtaining the p- values. For any other statistical analysis as well, only ANOVA was used.", "CsBz wildtype flies were received from National Centre for Biological Sciences (NCBS-TIFR), Bangalore, India. Drosophila were reared on standard cornmeal dextrose medium at 25° C, unless specified otherwise.\nThe media composition for Drosophila used is (1 liter of media) - corn flour (80 g), D-glucose (20 g, SRL-CAS Number-50-99-7), Sugar (40 g), Agar (8 g, SRL-CAS Number-9002-18-0), Yeast powder [15 g, SRL-REF-34266 (YI 012)], propionic acid (4 ml, SRL, CAS Number-79-09-4), TEGO (1.25 g in 3 ml of ethanol, fisher scientific, CAS Number-99-76-3), and Orthophosphoric acid (600ul, SRL, CAS Number-7664-38-2).", "For binary choice feeding assays, wildtype flies were raised from eggs to adults at 25° C. Flies were sorted in vials of 10 males and 10 females (20 flies/vial) upon eclosion and maintained at 25° C for 3 days on fresh media, after which flies were starved for 24 h at 25° C. Flies were tested as described previously,42,43 and abdominal coloration was scored as positive if there was any pink or red eating. Purple scored as 1/2 (when consumed red and blue dyes both) and none (no visible pink or red coloration). 60 × 15 mm feeding plates from Tarsons were used for the assay.\n% flies feeding was calculated as follows: First, we calculated % flies feeding on gurmar for each plate. Later mean of % flies feeding for 6 plates was calculated.", "2–3 days old wildtype flies were collected after eclosion and kept on standard food for 3 days. Mix of both male and female flies were used for the PER assay. Flies were tested as described previously,43 Before the assay, flies were starved for 24 h in vials with water-saturated (4 ml) tissue papers. Prior to the PER experiment, no chemical anesthesia was used, instead flies were immobilized by cooling on ice for at least 20 min and then mounted using nail polish, vertical aspect up, on glass slides (76 mm × 26 mm × 1 mm from Borosil). Mounted flies were allowed to recover in a moist chamber (plastic box with wet tissues) for at least 1–2 h prior to testing. Tastant solutions prepared in water were applied directly to tarsi via a drop extruded using 2-ul pipette. Flies were allowed to drink water ad libitum before testing the compounds. Flies not responding to water were excluded before the assay. Flies showing no movement were also excluded. Flies satiated with water were then tested with sucrose and gurmar (whole gurmar with liquid and solid particles floating was taken immediately after vortexing). Ingestion of any tastant solutions was not allowed and following each tastant application, flies were retested with water as a negative control. Each fly was tested five times with tastant solution stimuli (tastant was directly applied to the tarsi). The interval between consecutive tastant solution applications was at least 2–3 min to minimize adaptation. Flies showing three or more proboscis extensions were considered responders.\nFor all PER experiments, three sets of at least 20 flies each were tested and the percentage of responders was calculated for each set. PER graphs depict mean responses and error bars indicate standard error of the mean (SEM).", "All the sugars used in the study were obtained from Sigma Aldrich- Sucrose (57-50-1), Fructose (57-48-7), Trehalose (6138-23-4), Sucralose, D-(+)-Glucose (50-99-7), L-(-)-Glucose (921-60-8), Galactose (59-23-4), Arabinose (10323-20-3), Sorbitol (50-70-4). NaCl salt (fisher Scientific- 7647-14-5) was of 99.9% purity. Gurmar (Neutraved Gurmar powder from Amazon), Blue dye- Indigo carmine (Sigma: 860-22-0) and Red dye-Sulforhodamine B (Sigma- 3520-42-1). Bitter and acid compounds used were also obtained from Sigma Aldrich- Caffeine (58-08-2), Denetonium Benzoate (3734-33-6), Quinine (130-95-0), Linolenic Acid (60-33-3), Octanoic Acid (124-07-2), Hexanoic Acid (142-62-1), Acetic Acid (64-19-7), Citric Acid (5949-29-1), Glycolic Acid (79-14-1).", "After 2 h of feeding on blue spots with the tastant (50 mM sucrose, 2.5% gurmar, 5% gurmar, 10% gurmar and various concentrations of gurmar mixed with sucrose) flies were pooled in equal numbers (60 flies × 2 sets) for each condition and were put in 2 ml eppendorf in 70% ethanol (Figure 1C). Flies were first crushed in 150ul of 70% ethanol and then 150ul 70% ethanol was added to crush them more. After crushing, 200 ul of double-distilled water (to remove the content sticking to the pestle and wall of the eppendorf tube) was added in the same soup and centrifugation was done at 3000 rpm for 15 min. After centrifugation, the pellet was discarded and the supernatant was transferred into the fresh eppendorfs. To do the spectrophotometry analysis, the supernatant was further diluted with 350 ul double distilled water to make up the total final volume of 600ul in the cuvette. Spectrophotometry analysis was done at 630 nm wavelength. Readings were taken for each sample and only the mean values were plotted. The spectrophotometer used was Perkin Elmer, lambda 35 UV/VIS Spectrometer.", "To calculate the number of flies dying on 5 and 10% gurmar mixed with fly media, for each concentration of gurmar 20 flies in each vial (10 male and 10 females) were kept in batches (X6). Flies were transferred on alternate days to fresh media and the number of flies dying every day were counted for the days specified in the graph. Flies kept on normal media were used as the control.", "Mated flies were kept on normal media first to synchronize the flies and then shifted to different media conditions (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media) for egg laying. Synchronization was done for two days by transferring flies on normal media for each condition at least three times a day. Each vial had 25 females and 15 males (N = 6 vials for each condition). Flies were transferred on different media plates for egg collection. Yeast paste was used to stimulate the mating. After 20 h, flies were removed from the egg chamber plates (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media). After egg laying, the number of eggs was counted for each plate and mean number of eggs was calculated and plotted for each condition.", "Synchronized flies were transferred to fresh normal media vials, 5% gurmar mixed in normal media vials and 10% gurmar mixed in normal media vials. Flies were allowed to lay eggs for two days and later removed from the vials. Fly development, eclosion time and total flies emerged were observed for the next 7 days. N = 6 vials (20 flies each).", "While measuring the length of the flies only the body was considered. Wings were not considered to measure body size.", "Olympus SZX10 dual tube microscope was used for generating images and Olympus SZ61 stereomicroscopes for doing the general fly pushing.", "Unless otherwise stated, differences between means of different groups were evaluated for statistical significance with parametric ANOVA followed by post hoc Tukey multiple comparisons test for obtaining the p- values. For any other statistical analysis as well, only ANOVA was used." ]
[ "intro", "results", null, null, null, null, null, "discussion", "methods", null, null, null, null, null, null, null, null, null, null, null ]
[ "taste", "\nDrosophila\n", "sugar", "modulation", "starvation" ]
Introduction: Humans have an innate liking for sweet taste. Sugars are the main source of energy for almost all living animals. Morbidities caused by the consumption of high amounts of sugar are increasing at an alarming rate, creating a huge economic burden on society and health care systems. In the current world, metabolic disorder- Diabetes is one of the major health threats that causes prolonged ill health, making it one of the leading causes of global mortality. In the absence of preventive measures, around 366 million people worldwide are expected to have diabetes by 2030.1 Around 80% of the total world’s population still use and rely on traditional medicine including phytochemicals from plants of medicinal importance for their primary health care and to treat various diseases.2–6 One such herb is Gymnema sylvestre commonly called as Gurmar (destroyer of sugar)7 to treat Diabetes mellitus which is caused by the presence of excessive sugar (glucose) in the blood. It has been shown that the chewing of gurmar leaves can cause a temporary loss of the sweet taste sense and curbs the cravings for sugar for a few hours.7–10 The anti-sweet principle in gurmar was found to be ‘gymnemic acid’.10 The anti-sweetness effect of gymnemic acid varies from species to species, even in mammals.11–13 In both animals and humans, gurmar increases urine output and reduces hyperglycemia.14 Hot water extract from the leaves of G. sylvestre causes suppression of sweet taste responses in the rat.15 The inhibitory effect of another chemical-gurmarin, was found to be highly specific to the sweet taste response to sucrose, glucose, glycine and saccharin with no effect on salt (NaCl), sour (HCl) and bitter taste (quinine.16 Gurmarin present in leaves of G. sylvestre is a polypeptide that consists of 35 amino acid residues including three intramolecular disulfide bonds.16 Although gurmarin suppresses the sweet taste response in rats, a weak or no effect was seen in human beings.15–17 The absence of available consolidated scientific data for the antidiabetic effect of G. sylvestre from clinical trials calls for the examination of its mechanism of action and the understanding of its effects on sugar taste sensation in animals. Artificial sweeteners, sugar concentrations ranging from 100–500 mM and various sweet tasting proteins elicit sweet taste in mammals. The T1R2 and T1R3 heterodimer constitute the sweet taste receptor in mammals.18 Flies also get attracted to many of the sugars that humans consume.19,20 Drosophila melanogaster is one of the ideal genetic systems to study feeding behaviour. Flies are able to detect and differentiate sugars, bitter substances and other gustatory cues through various taste sensors present on different taste organs. These compounds produce an attractive or repulsive response in behavioural tests that finally leads to acceptance or rejection of food.21,22 60 genes in the gustatory receptor (GR) gene family encode 68 receptor proteins in Drosophila.23–25 The three key gustatory receptors required for sensing sugars (except fructose) in Drosophila are Gr5a, Gr64a and Gr64f.26–30 To understand how gurmar modulates feeding behaviour in insects, we used Drosophila as a model system to probe its effect on the sugar feeding behaviour in flies. Our feeding and PER data demonstrate that flies show partial (feeding assays) and almost complete repulsion (PER assays) to different concentrations of gurmar. Flies lay a fewer number of eggs on gurmar media plates. We also observed developmental defects and developmental delay in wildtype flies when grown on gurmar media. We observed that a long starvation time is required after gurmar consumption in flies to suppress sugar intake behaviour. Our data suggest that flies detect gurmar using both taste and olfactory cues. Results: Wildtype flies show aversive behaviour to gurmar To understand how flies respond to gurmar, we first tested wildtype (CsBz) flies for their feeding preferences in a feeding assay plate (Figure 1A). For examining the feeding behaviour in feeding assay, batches of flies (20 flies each plate, 10 males + 10 females) were presented with a choice between water and varying concentrations of whole gurmar (2.5%, 5% and 10% raw powdered form dissolved in water). We observed gurmar dry leaves powder does not dissolve completely in water. The same concentrations of gurmar were also tested after mixing it with sucrose (50 mM) and compared with 50 mM sucrose alone (control) (Figure 1B). We found ~ 67% mean feeding responses for 50 mM sucrose. Wildtype flies showed feeding responses of ~ 45% for 2.5% gurmar (with and without sucrose). We observed ~ 10–15% feeding responses for 5% and 10% gurmar and between 30–40% for 5% and 10% gurmar mixed with 50 mM sucrose (Figure 1B). Nonetheless, in all the tested concentrations of gurmar with and without sucrose, we found significant differences when compared to sucrose alone (Figure 1B). We also found significant differences between gurmar alone and gurmar mixed with sucrose at 5% and 10% concentrations (Figure 1B, black and gray bars at 5% and 10% concentration). Since the feeding responses of 10% gurmar and 5% gurmar were not found to be very different from each other and showed a clear aversive behaviour (Figure 1B) later, we used both 5 and 10% gurmar for the rest of the experiments. Our feeding results were confirmed again by measuring the food consumption via spectrophotometry (Figure 1C) separately. The absorbance values (Figure 1C) for 5 and 10% gurmar were found to be reduced compared to 50 mM sucrose alone. We observed a significant difference between 5% gurmar + sucrose and sucrose alone as well in spectrophotometry data (Figure 1C). Our data suggest that gurmar is aversive to flies. To understand how flies respond to gurmar, we first tested wildtype (CsBz) flies for their feeding preferences in a feeding assay plate (Figure 1A). For examining the feeding behaviour in feeding assay, batches of flies (20 flies each plate, 10 males + 10 females) were presented with a choice between water and varying concentrations of whole gurmar (2.5%, 5% and 10% raw powdered form dissolved in water). We observed gurmar dry leaves powder does not dissolve completely in water. The same concentrations of gurmar were also tested after mixing it with sucrose (50 mM) and compared with 50 mM sucrose alone (control) (Figure 1B). We found ~ 67% mean feeding responses for 50 mM sucrose. Wildtype flies showed feeding responses of ~ 45% for 2.5% gurmar (with and without sucrose). We observed ~ 10–15% feeding responses for 5% and 10% gurmar and between 30–40% for 5% and 10% gurmar mixed with 50 mM sucrose (Figure 1B). Nonetheless, in all the tested concentrations of gurmar with and without sucrose, we found significant differences when compared to sucrose alone (Figure 1B). We also found significant differences between gurmar alone and gurmar mixed with sucrose at 5% and 10% concentrations (Figure 1B, black and gray bars at 5% and 10% concentration). Since the feeding responses of 10% gurmar and 5% gurmar were not found to be very different from each other and showed a clear aversive behaviour (Figure 1B) later, we used both 5 and 10% gurmar for the rest of the experiments. Our feeding results were confirmed again by measuring the food consumption via spectrophotometry (Figure 1C) separately. The absorbance values (Figure 1C) for 5 and 10% gurmar were found to be reduced compared to 50 mM sucrose alone. We observed a significant difference between 5% gurmar + sucrose and sucrose alone as well in spectrophotometry data (Figure 1C). Our data suggest that gurmar is aversive to flies. Gurmar is detected by both taste and olfactory cues To investigate how flies detect gurmar, the main olfactory organ- antennae of the flies were removed. Antenna-less wildtype flies were tested for their feeding behaviour. In the absence of antennae, flies feeding on 5% whole gurmar showed improved and increased feeding responses after starvation in feeding assays when compared to wildtype control flies with intact antennae but not in the case of 10% gurmar (Figure 1D and E, red bars). The feeding responses for 10 and 5% gurmar + 50 mM sucrose were found enhanced as well in case of antennae less flies (Figure 1D and E, gray bars) in comparison to wildtype control flies. Our data suggest that the presence of the main olfactory organ in flies caused further repulsion as seen in control flies (Figure 1B and C). Overall, we found aversion to both 5 and 10% gurmar with and without 50 mM sucrose decreased and feeding responses improved after removing antennae. Our results support that feeding on gurmar with and without sucrose is dependent on both olfaction and taste (Figure 1D and E). The feeding responses of 5 and 10% gurmar alone were less than 20%, we used these two concentrations of gurmar with the increasing concentration of sucrose to test the inhibitory effect of gurmar on sugar feeding behaviour. In our dose-response curves, we observed an increase in mean feeding responses with the increase in sucrose concentrations (Figure 1F). A similar pattern of feeding was observed when sucrose was mixed with 5 and 10% gurmar concentration. Highest responses were observed at 5 and 10% gurmar mixed with 100 mM sucrose (Figure 1F). We found significant feeding differences between sucrose and gurmar mixed with sucrose at all the tested concentrations (except 100 mM 10% gurmar). Our feeding assay results suggest inhibition of sugar feeding in the presence of gurmar (Figure 1F) and gurmar inhibits sucrose provoked feeding responses. To confirm our feeding assay results, we also performed PER (Proboscis Extension Reflex) assay (Figure 2A). Extension of the proboscis is the first step shown by flies in an appetitive behaviour. Compared to 50 mM sucrose (~60% positive PER responses), wildtype flies showed less than 5% response when 2.5% and 5% gurmar were tested in our tarsal PER assay (Figure 2B, black bars). We didn’t see any extension of proboscis at 10% gurmar. Significant differences in PER responses (34%, 26% and 21%) were observed when gurmar mixed 50 mM sucrose was compared with 50 mM sucrose alone (Figure 2B, blue bars). Our PER results suggest gurmar alone acts as an aversive cue to wildtype flies and inhibits sucrose evoked PER responses (Figure 2B). To investigate how flies detect gurmar, the main olfactory organ- antennae of the flies were removed. Antenna-less wildtype flies were tested for their feeding behaviour. In the absence of antennae, flies feeding on 5% whole gurmar showed improved and increased feeding responses after starvation in feeding assays when compared to wildtype control flies with intact antennae but not in the case of 10% gurmar (Figure 1D and E, red bars). The feeding responses for 10 and 5% gurmar + 50 mM sucrose were found enhanced as well in case of antennae less flies (Figure 1D and E, gray bars) in comparison to wildtype control flies. Our data suggest that the presence of the main olfactory organ in flies caused further repulsion as seen in control flies (Figure 1B and C). Overall, we found aversion to both 5 and 10% gurmar with and without 50 mM sucrose decreased and feeding responses improved after removing antennae. Our results support that feeding on gurmar with and without sucrose is dependent on both olfaction and taste (Figure 1D and E). The feeding responses of 5 and 10% gurmar alone were less than 20%, we used these two concentrations of gurmar with the increasing concentration of sucrose to test the inhibitory effect of gurmar on sugar feeding behaviour. In our dose-response curves, we observed an increase in mean feeding responses with the increase in sucrose concentrations (Figure 1F). A similar pattern of feeding was observed when sucrose was mixed with 5 and 10% gurmar concentration. Highest responses were observed at 5 and 10% gurmar mixed with 100 mM sucrose (Figure 1F). We found significant feeding differences between sucrose and gurmar mixed with sucrose at all the tested concentrations (except 100 mM 10% gurmar). Our feeding assay results suggest inhibition of sugar feeding in the presence of gurmar (Figure 1F) and gurmar inhibits sucrose provoked feeding responses. To confirm our feeding assay results, we also performed PER (Proboscis Extension Reflex) assay (Figure 2A). Extension of the proboscis is the first step shown by flies in an appetitive behaviour. Compared to 50 mM sucrose (~60% positive PER responses), wildtype flies showed less than 5% response when 2.5% and 5% gurmar were tested in our tarsal PER assay (Figure 2B, black bars). We didn’t see any extension of proboscis at 10% gurmar. Significant differences in PER responses (34%, 26% and 21%) were observed when gurmar mixed 50 mM sucrose was compared with 50 mM sucrose alone (Figure 2B, blue bars). Our PER results suggest gurmar alone acts as an aversive cue to wildtype flies and inhibits sucrose evoked PER responses (Figure 2B). Whole gurmar solution is more aversive to flies than just the extract present in the liquid fraction In our feeding assays, a powdered form of dry gurmar leaves mixed with water and agar was presented to flies. We always observed settled solid particles at the bottom and green liquid solution at the top, suggesting gurmar doesn’t completely dissolve in water. To determine which part of the gurmar solution is aversive to flies, we tested wildtype flies in feeding assays. Flies feeding on the liquid fraction of 10% gurmar + 50 mM sucrose and 5% gurmar + 50 mM sucrose showed improved feeding responses (65–75%) compared to whole gurmar at 10 and 5% concentration when mixed with 50 mM sucrose (40–45%, Figure 2C and D). We also tested flies with 10 and 5% gurmar alone without adding any sucrose (Figure 2C and D) as a negative control. Just like in the case of Figures 1B and C, we again found similar feeding results (<20%) for 10 and 5% gurmar. In the absence of any sucrose, flies feeding on the liquid fraction of 10 and 5% gurmar alone showed ~45% feeding response as seen for 10 and 5% whole gurmar when mixed with 50 mM sucrose (Figure 2C and D). We found a few flies feed on whole gurmar without any added sucrose. Our results suggest that whole gurmar affects feeding behaviour more strongly and is highly aversive in nature, suggesting the presence of an aversive component in the solid particles rather than the liquid fraction. In our feeding assays, a powdered form of dry gurmar leaves mixed with water and agar was presented to flies. We always observed settled solid particles at the bottom and green liquid solution at the top, suggesting gurmar doesn’t completely dissolve in water. To determine which part of the gurmar solution is aversive to flies, we tested wildtype flies in feeding assays. Flies feeding on the liquid fraction of 10% gurmar + 50 mM sucrose and 5% gurmar + 50 mM sucrose showed improved feeding responses (65–75%) compared to whole gurmar at 10 and 5% concentration when mixed with 50 mM sucrose (40–45%, Figure 2C and D). We also tested flies with 10 and 5% gurmar alone without adding any sucrose (Figure 2C and D) as a negative control. Just like in the case of Figures 1B and C, we again found similar feeding results (<20%) for 10 and 5% gurmar. In the absence of any sucrose, flies feeding on the liquid fraction of 10 and 5% gurmar alone showed ~45% feeding response as seen for 10 and 5% whole gurmar when mixed with 50 mM sucrose (Figure 2C and D). We found a few flies feed on whole gurmar without any added sucrose. Our results suggest that whole gurmar affects feeding behaviour more strongly and is highly aversive in nature, suggesting the presence of an aversive component in the solid particles rather than the liquid fraction. Effect of gurmar on life span and egg-laying behaviour Our results suggest gurmar is an aversive cue to flies, we further investigated the effect of gurmar on the development of flies. For probing the effect of gurmar on fly development, first, we tested the effect of gurmar on the egg laying behaviour of flies. Egg-laying was performed on the normal media and gurmar plates (gurmar mixed with normal media). Flies on the gurmar plates laid less number of eggs (on 5%- ~110–130 eggs and on 10%-~ 80-100 eggs) compared to normal media flies (~150–170 eggs) (Figure 3A). We also observed that on 5 and 10% gurmar media, the mean number of flies eclosed per vial was less compared to normal media vials (Figure 3B). Our data suggest that gurmar feeding affects the egg laying behaviour in flies that resulted in reduced counts of eggs laid by flies. Altogether our data suggest that gurmar affects the egg-laying behaviour and hence, the total number of eggs laid. We also determined if flies raised on gurmar throughout the development show any developmental defects. We raised the flies at 25°C in the incubator throughout the development. We noticed, the growth of the flies was slower and the flies eclosed late in the case of 5 and 10% gurmar (gurmar mixed with normal food) (Figure 3C) compared with normal media flies (NM vials). Flies growing on normal media eclosed on day 10–11 at 25°C (Figure 3C). On 5% gurmar, flies eclosed on 13–14th day and on 10% gurmar, flies eclosed as adults on day 17–18 (Figure 3C). We also observed that the size of the flies (both male and females) in the case of 10% gurmar was smaller compared to normal media raised (NM) flies (Figure 3D-D”). No differences in body size of flies were observed at 5% gurmar (Figure 3D’ and D”). Our data suggest that continuous consumption of gurmar causes deleterious effects on the development and overall health of the flies. We further investigated the effect of gurmar feeding on the life span of flies. The longevity assay was used to follow the life spans of flies till death. Adult wildtype flies were transferred on the fresh gurmar media (gurmar mixed with normal fly media) and control media every alternative day to avoid any fly death due to soggy media conditions. The flies on 5 (green line) and 10% (red line) gurmar showed shorter life spans compared to normal media flies (65 days) (Figure 3E, blue line). Flies on 10% gurmar died at day 18 and on 5% at day 41 compared to normal media flies which died on day 65. Our data suggest continuous feeding on gurmar causes early lethality in wildtype flies compared to normal media flies (Figure 3E). Our results suggest gurmar is an aversive cue to flies, we further investigated the effect of gurmar on the development of flies. For probing the effect of gurmar on fly development, first, we tested the effect of gurmar on the egg laying behaviour of flies. Egg-laying was performed on the normal media and gurmar plates (gurmar mixed with normal media). Flies on the gurmar plates laid less number of eggs (on 5%- ~110–130 eggs and on 10%-~ 80-100 eggs) compared to normal media flies (~150–170 eggs) (Figure 3A). We also observed that on 5 and 10% gurmar media, the mean number of flies eclosed per vial was less compared to normal media vials (Figure 3B). Our data suggest that gurmar feeding affects the egg laying behaviour in flies that resulted in reduced counts of eggs laid by flies. Altogether our data suggest that gurmar affects the egg-laying behaviour and hence, the total number of eggs laid. We also determined if flies raised on gurmar throughout the development show any developmental defects. We raised the flies at 25°C in the incubator throughout the development. We noticed, the growth of the flies was slower and the flies eclosed late in the case of 5 and 10% gurmar (gurmar mixed with normal food) (Figure 3C) compared with normal media flies (NM vials). Flies growing on normal media eclosed on day 10–11 at 25°C (Figure 3C). On 5% gurmar, flies eclosed on 13–14th day and on 10% gurmar, flies eclosed as adults on day 17–18 (Figure 3C). We also observed that the size of the flies (both male and females) in the case of 10% gurmar was smaller compared to normal media raised (NM) flies (Figure 3D-D”). No differences in body size of flies were observed at 5% gurmar (Figure 3D’ and D”). Our data suggest that continuous consumption of gurmar causes deleterious effects on the development and overall health of the flies. We further investigated the effect of gurmar feeding on the life span of flies. The longevity assay was used to follow the life spans of flies till death. Adult wildtype flies were transferred on the fresh gurmar media (gurmar mixed with normal fly media) and control media every alternative day to avoid any fly death due to soggy media conditions. The flies on 5 (green line) and 10% (red line) gurmar showed shorter life spans compared to normal media flies (65 days) (Figure 3E, blue line). Flies on 10% gurmar died at day 18 and on 5% at day 41 compared to normal media flies which died on day 65. Our data suggest continuous feeding on gurmar causes early lethality in wildtype flies compared to normal media flies (Figure 3E). Effect of gurmar on sugar intake in flies To test the effect of gurmar on sugar intake in flies, wildtype flies were fed for 2 days with 5 and 10% gurmar mixed with the normal media. Later flies were tested for their consumption of 50 mM sucrose in our 2 h feeding assay. Flies on normal media without any gurmar were used as a control. Two sets of flies were tested; one set was tested after 24hrs starvation and the other set was tested without any starvation (no starvation). Under no starvation condition, normal media wildtype flies consumed less sugar (~20–30% feeding response; Figure 4A, C and E) compared to 24 h starvation (~ 80–90% feeding response) flies on normal media (Figure 4B, D and F). In case of both 10 and 5% gurmar, under no starvation condition almost 80–90% of flies fed on sugar (Figure 4A, C and E) compared to the starvation condition (24 h). We observed feeding responses were reduced to half ~30–50% in case of 10 and 5% gurmar fed flies after starvation (Figure 4B, D and F). Male flies specifically showed lower feeding (~5–10%) on 50 mM sucrose compared to female flies (Figure 4G and H) when males and females were tested separately after 24 h starvation. Under the no starvation condition, feeding responses of males and females were not significantly different (Figure 4G and H). We found no immediate effect of gurmar on sugar intake, in fact, we saw enhanced feeding on sugar in a fed state. Our data showed reduced sugar consumption only after starvation (24 h). Altogether our results suggest that the effect of gurmar is internal state dependent and sexually dimorphic as observed for reduced sugar intake in males after 24hrs of starvation. A similar reduction in sugar consumption under starvation was also observed for many other sugars, namely 100 mM sucrose, fructose, trehalose, D-glucose, L-glucose, galactose, arabinose and sorbitol, except sucralose, L-glucose and galactose (Figure 5A). We also tested other taste categories including 50 and 200 mM NaCl and found no difference in feeding between normal media, 5 and 10% gurmar media condition (Figure 5B). Feeding responses for bitter compounds 10 mM caffeine, 1 mM denatonium and 1 mM quanine were no different between normal media, 5 and 10% gurmar media condition (Figure 5C). Various acids tested at 1% concentration also showed no difference in feeding (Figure 5D). As a whole, our results suggest that gurmar modulates only sugar taste behaviour (although not all sugars) and the phenotype is specific for sugars. In general, wild type flies feeding on low-calorie sweeteners including sucralose, L-glucose and galactose showed lower feeding responses (<50%) under all conditions. Our model supports the mechanism where gurmar affects sugar intake in two different internal states (fed and starved, Figure 6). Under the fed condition, flies pre-fed on gurmar consume a high amount of sugar compared to normal media hungry flies (starved 24hrs) (Figure 6). Only after 24hrs of starvation time, flies pre-fed with gurmar showed reduced feeding suggesting a modulatory effect of gurmar on sweet taste behaviour. Where (brain or periphery) gurmar acts to cause the sweet taste modulation invites further probing. There is a possibility that taste memories under different internal states caused feeding differences in fed and starved flies. Also, the role of gurmar in altering the neuropeptides regulating feeding behaviour and its effect on the satiety region of the brain cannot be ignored which needs future investigation. To test the effect of gurmar on sugar intake in flies, wildtype flies were fed for 2 days with 5 and 10% gurmar mixed with the normal media. Later flies were tested for their consumption of 50 mM sucrose in our 2 h feeding assay. Flies on normal media without any gurmar were used as a control. Two sets of flies were tested; one set was tested after 24hrs starvation and the other set was tested without any starvation (no starvation). Under no starvation condition, normal media wildtype flies consumed less sugar (~20–30% feeding response; Figure 4A, C and E) compared to 24 h starvation (~ 80–90% feeding response) flies on normal media (Figure 4B, D and F). In case of both 10 and 5% gurmar, under no starvation condition almost 80–90% of flies fed on sugar (Figure 4A, C and E) compared to the starvation condition (24 h). We observed feeding responses were reduced to half ~30–50% in case of 10 and 5% gurmar fed flies after starvation (Figure 4B, D and F). Male flies specifically showed lower feeding (~5–10%) on 50 mM sucrose compared to female flies (Figure 4G and H) when males and females were tested separately after 24 h starvation. Under the no starvation condition, feeding responses of males and females were not significantly different (Figure 4G and H). We found no immediate effect of gurmar on sugar intake, in fact, we saw enhanced feeding on sugar in a fed state. Our data showed reduced sugar consumption only after starvation (24 h). Altogether our results suggest that the effect of gurmar is internal state dependent and sexually dimorphic as observed for reduced sugar intake in males after 24hrs of starvation. A similar reduction in sugar consumption under starvation was also observed for many other sugars, namely 100 mM sucrose, fructose, trehalose, D-glucose, L-glucose, galactose, arabinose and sorbitol, except sucralose, L-glucose and galactose (Figure 5A). We also tested other taste categories including 50 and 200 mM NaCl and found no difference in feeding between normal media, 5 and 10% gurmar media condition (Figure 5B). Feeding responses for bitter compounds 10 mM caffeine, 1 mM denatonium and 1 mM quanine were no different between normal media, 5 and 10% gurmar media condition (Figure 5C). Various acids tested at 1% concentration also showed no difference in feeding (Figure 5D). As a whole, our results suggest that gurmar modulates only sugar taste behaviour (although not all sugars) and the phenotype is specific for sugars. In general, wild type flies feeding on low-calorie sweeteners including sucralose, L-glucose and galactose showed lower feeding responses (<50%) under all conditions. Our model supports the mechanism where gurmar affects sugar intake in two different internal states (fed and starved, Figure 6). Under the fed condition, flies pre-fed on gurmar consume a high amount of sugar compared to normal media hungry flies (starved 24hrs) (Figure 6). Only after 24hrs of starvation time, flies pre-fed with gurmar showed reduced feeding suggesting a modulatory effect of gurmar on sweet taste behaviour. Where (brain or periphery) gurmar acts to cause the sweet taste modulation invites further probing. There is a possibility that taste memories under different internal states caused feeding differences in fed and starved flies. Also, the role of gurmar in altering the neuropeptides regulating feeding behaviour and its effect on the satiety region of the brain cannot be ignored which needs future investigation. Wildtype flies show aversive behaviour to gurmar: To understand how flies respond to gurmar, we first tested wildtype (CsBz) flies for their feeding preferences in a feeding assay plate (Figure 1A). For examining the feeding behaviour in feeding assay, batches of flies (20 flies each plate, 10 males + 10 females) were presented with a choice between water and varying concentrations of whole gurmar (2.5%, 5% and 10% raw powdered form dissolved in water). We observed gurmar dry leaves powder does not dissolve completely in water. The same concentrations of gurmar were also tested after mixing it with sucrose (50 mM) and compared with 50 mM sucrose alone (control) (Figure 1B). We found ~ 67% mean feeding responses for 50 mM sucrose. Wildtype flies showed feeding responses of ~ 45% for 2.5% gurmar (with and without sucrose). We observed ~ 10–15% feeding responses for 5% and 10% gurmar and between 30–40% for 5% and 10% gurmar mixed with 50 mM sucrose (Figure 1B). Nonetheless, in all the tested concentrations of gurmar with and without sucrose, we found significant differences when compared to sucrose alone (Figure 1B). We also found significant differences between gurmar alone and gurmar mixed with sucrose at 5% and 10% concentrations (Figure 1B, black and gray bars at 5% and 10% concentration). Since the feeding responses of 10% gurmar and 5% gurmar were not found to be very different from each other and showed a clear aversive behaviour (Figure 1B) later, we used both 5 and 10% gurmar for the rest of the experiments. Our feeding results were confirmed again by measuring the food consumption via spectrophotometry (Figure 1C) separately. The absorbance values (Figure 1C) for 5 and 10% gurmar were found to be reduced compared to 50 mM sucrose alone. We observed a significant difference between 5% gurmar + sucrose and sucrose alone as well in spectrophotometry data (Figure 1C). Our data suggest that gurmar is aversive to flies. Gurmar is detected by both taste and olfactory cues: To investigate how flies detect gurmar, the main olfactory organ- antennae of the flies were removed. Antenna-less wildtype flies were tested for their feeding behaviour. In the absence of antennae, flies feeding on 5% whole gurmar showed improved and increased feeding responses after starvation in feeding assays when compared to wildtype control flies with intact antennae but not in the case of 10% gurmar (Figure 1D and E, red bars). The feeding responses for 10 and 5% gurmar + 50 mM sucrose were found enhanced as well in case of antennae less flies (Figure 1D and E, gray bars) in comparison to wildtype control flies. Our data suggest that the presence of the main olfactory organ in flies caused further repulsion as seen in control flies (Figure 1B and C). Overall, we found aversion to both 5 and 10% gurmar with and without 50 mM sucrose decreased and feeding responses improved after removing antennae. Our results support that feeding on gurmar with and without sucrose is dependent on both olfaction and taste (Figure 1D and E). The feeding responses of 5 and 10% gurmar alone were less than 20%, we used these two concentrations of gurmar with the increasing concentration of sucrose to test the inhibitory effect of gurmar on sugar feeding behaviour. In our dose-response curves, we observed an increase in mean feeding responses with the increase in sucrose concentrations (Figure 1F). A similar pattern of feeding was observed when sucrose was mixed with 5 and 10% gurmar concentration. Highest responses were observed at 5 and 10% gurmar mixed with 100 mM sucrose (Figure 1F). We found significant feeding differences between sucrose and gurmar mixed with sucrose at all the tested concentrations (except 100 mM 10% gurmar). Our feeding assay results suggest inhibition of sugar feeding in the presence of gurmar (Figure 1F) and gurmar inhibits sucrose provoked feeding responses. To confirm our feeding assay results, we also performed PER (Proboscis Extension Reflex) assay (Figure 2A). Extension of the proboscis is the first step shown by flies in an appetitive behaviour. Compared to 50 mM sucrose (~60% positive PER responses), wildtype flies showed less than 5% response when 2.5% and 5% gurmar were tested in our tarsal PER assay (Figure 2B, black bars). We didn’t see any extension of proboscis at 10% gurmar. Significant differences in PER responses (34%, 26% and 21%) were observed when gurmar mixed 50 mM sucrose was compared with 50 mM sucrose alone (Figure 2B, blue bars). Our PER results suggest gurmar alone acts as an aversive cue to wildtype flies and inhibits sucrose evoked PER responses (Figure 2B). Whole gurmar solution is more aversive to flies than just the extract present in the liquid fraction: In our feeding assays, a powdered form of dry gurmar leaves mixed with water and agar was presented to flies. We always observed settled solid particles at the bottom and green liquid solution at the top, suggesting gurmar doesn’t completely dissolve in water. To determine which part of the gurmar solution is aversive to flies, we tested wildtype flies in feeding assays. Flies feeding on the liquid fraction of 10% gurmar + 50 mM sucrose and 5% gurmar + 50 mM sucrose showed improved feeding responses (65–75%) compared to whole gurmar at 10 and 5% concentration when mixed with 50 mM sucrose (40–45%, Figure 2C and D). We also tested flies with 10 and 5% gurmar alone without adding any sucrose (Figure 2C and D) as a negative control. Just like in the case of Figures 1B and C, we again found similar feeding results (<20%) for 10 and 5% gurmar. In the absence of any sucrose, flies feeding on the liquid fraction of 10 and 5% gurmar alone showed ~45% feeding response as seen for 10 and 5% whole gurmar when mixed with 50 mM sucrose (Figure 2C and D). We found a few flies feed on whole gurmar without any added sucrose. Our results suggest that whole gurmar affects feeding behaviour more strongly and is highly aversive in nature, suggesting the presence of an aversive component in the solid particles rather than the liquid fraction. Effect of gurmar on life span and egg-laying behaviour: Our results suggest gurmar is an aversive cue to flies, we further investigated the effect of gurmar on the development of flies. For probing the effect of gurmar on fly development, first, we tested the effect of gurmar on the egg laying behaviour of flies. Egg-laying was performed on the normal media and gurmar plates (gurmar mixed with normal media). Flies on the gurmar plates laid less number of eggs (on 5%- ~110–130 eggs and on 10%-~ 80-100 eggs) compared to normal media flies (~150–170 eggs) (Figure 3A). We also observed that on 5 and 10% gurmar media, the mean number of flies eclosed per vial was less compared to normal media vials (Figure 3B). Our data suggest that gurmar feeding affects the egg laying behaviour in flies that resulted in reduced counts of eggs laid by flies. Altogether our data suggest that gurmar affects the egg-laying behaviour and hence, the total number of eggs laid. We also determined if flies raised on gurmar throughout the development show any developmental defects. We raised the flies at 25°C in the incubator throughout the development. We noticed, the growth of the flies was slower and the flies eclosed late in the case of 5 and 10% gurmar (gurmar mixed with normal food) (Figure 3C) compared with normal media flies (NM vials). Flies growing on normal media eclosed on day 10–11 at 25°C (Figure 3C). On 5% gurmar, flies eclosed on 13–14th day and on 10% gurmar, flies eclosed as adults on day 17–18 (Figure 3C). We also observed that the size of the flies (both male and females) in the case of 10% gurmar was smaller compared to normal media raised (NM) flies (Figure 3D-D”). No differences in body size of flies were observed at 5% gurmar (Figure 3D’ and D”). Our data suggest that continuous consumption of gurmar causes deleterious effects on the development and overall health of the flies. We further investigated the effect of gurmar feeding on the life span of flies. The longevity assay was used to follow the life spans of flies till death. Adult wildtype flies were transferred on the fresh gurmar media (gurmar mixed with normal fly media) and control media every alternative day to avoid any fly death due to soggy media conditions. The flies on 5 (green line) and 10% (red line) gurmar showed shorter life spans compared to normal media flies (65 days) (Figure 3E, blue line). Flies on 10% gurmar died at day 18 and on 5% at day 41 compared to normal media flies which died on day 65. Our data suggest continuous feeding on gurmar causes early lethality in wildtype flies compared to normal media flies (Figure 3E). Effect of gurmar on sugar intake in flies: To test the effect of gurmar on sugar intake in flies, wildtype flies were fed for 2 days with 5 and 10% gurmar mixed with the normal media. Later flies were tested for their consumption of 50 mM sucrose in our 2 h feeding assay. Flies on normal media without any gurmar were used as a control. Two sets of flies were tested; one set was tested after 24hrs starvation and the other set was tested without any starvation (no starvation). Under no starvation condition, normal media wildtype flies consumed less sugar (~20–30% feeding response; Figure 4A, C and E) compared to 24 h starvation (~ 80–90% feeding response) flies on normal media (Figure 4B, D and F). In case of both 10 and 5% gurmar, under no starvation condition almost 80–90% of flies fed on sugar (Figure 4A, C and E) compared to the starvation condition (24 h). We observed feeding responses were reduced to half ~30–50% in case of 10 and 5% gurmar fed flies after starvation (Figure 4B, D and F). Male flies specifically showed lower feeding (~5–10%) on 50 mM sucrose compared to female flies (Figure 4G and H) when males and females were tested separately after 24 h starvation. Under the no starvation condition, feeding responses of males and females were not significantly different (Figure 4G and H). We found no immediate effect of gurmar on sugar intake, in fact, we saw enhanced feeding on sugar in a fed state. Our data showed reduced sugar consumption only after starvation (24 h). Altogether our results suggest that the effect of gurmar is internal state dependent and sexually dimorphic as observed for reduced sugar intake in males after 24hrs of starvation. A similar reduction in sugar consumption under starvation was also observed for many other sugars, namely 100 mM sucrose, fructose, trehalose, D-glucose, L-glucose, galactose, arabinose and sorbitol, except sucralose, L-glucose and galactose (Figure 5A). We also tested other taste categories including 50 and 200 mM NaCl and found no difference in feeding between normal media, 5 and 10% gurmar media condition (Figure 5B). Feeding responses for bitter compounds 10 mM caffeine, 1 mM denatonium and 1 mM quanine were no different between normal media, 5 and 10% gurmar media condition (Figure 5C). Various acids tested at 1% concentration also showed no difference in feeding (Figure 5D). As a whole, our results suggest that gurmar modulates only sugar taste behaviour (although not all sugars) and the phenotype is specific for sugars. In general, wild type flies feeding on low-calorie sweeteners including sucralose, L-glucose and galactose showed lower feeding responses (<50%) under all conditions. Our model supports the mechanism where gurmar affects sugar intake in two different internal states (fed and starved, Figure 6). Under the fed condition, flies pre-fed on gurmar consume a high amount of sugar compared to normal media hungry flies (starved 24hrs) (Figure 6). Only after 24hrs of starvation time, flies pre-fed with gurmar showed reduced feeding suggesting a modulatory effect of gurmar on sweet taste behaviour. Where (brain or periphery) gurmar acts to cause the sweet taste modulation invites further probing. There is a possibility that taste memories under different internal states caused feeding differences in fed and starved flies. Also, the role of gurmar in altering the neuropeptides regulating feeding behaviour and its effect on the satiety region of the brain cannot be ignored which needs future investigation. Discussion: Taste preference is essential for the evaluation of food by the animals. Sweet compounds provide energy to nearly all animals however, consumption of sugar should be regulated to maintain the proper body weight and overall fitness. People suffering from diabetes use different treatments to maintain their body weight and lower sugar levels. Our study used gurmar, which is in use for suppressing the craving for sugars and for balancing sugar levels in the body. Although, G. sylvestre use to control diabetes is well known in traditional systems of medicine and several studies have been conducted to report the antidiabetic properties and efficacy of G. sylvestre,31–34 but the scientific validation to establish the fact by conducting clinical trials with diabetic patients31 is lacking. Clinical trials done so far have used either crude extracts or whole leaf powder supporting the antidiabetic properties of G. sylvestre either by increased hypoglycemic activity35 or enhanced insulin levels to a certain extent.31 Without knowing the exact mechanism and their after effects, the product is in use in raw powdered form (dry leaf powder). Even though various studies have suggested different doses for the treatment, the dose which is safe for human consumption is not clearly defined. Our study supports the role of gurmar in its raw powdered form in reducing partial sugar consumption in flies but only after a long starvation period (Figure 4 and 5). Our study presents evidences that flies perceive gurmar as an aversive cue and detect gurmar using both taste and olfactory systems (Figure 1 and 2). Some clinical trials have been conducted using a water soluble extract of the leaves of G. sylvestre at a dosage of 400 mg/day in patients.36 Absence of antidiabetic and hypolipidemic effects of G. sylvestre in non-diabetic and alloxan-diabetic rats have also been reported.37 The rats fed with G. sylvestre leaf powder in the diet for 10 days prior and 15 days after the treatment of beryllium nitrate significantly protect the animals from the complete fall of blood glucose.38 Our data suggest that flies pre-fed with gurmar consume less sugar only after at least 24 h of starvation time (Figure 4 and 5). We didn’t observe any immediate effect of gurmar in altering the sugar feeding behaviour, in fact, flies with no starvation flies consumed more sugar compared to control wildtype flies on normal media (Figure 4). Our study presents results suggesting that although gurmar (in its dry leaf powdered form) has modulatory effects on sweet taste behaviour, but it takes much longer to show a reduction in sugar intake (Figure 4 and 5). So far no other study has presented a clear time scale where gurmar suppresses sugar consumption partially or completely. Pharmacological studies suggest that the water extracts of G. sylvestre leaves effectively treat diabetes mellitus.39 Similarly in rats, water extract of G. sylvestre leaves inhibit the absorption of glucose in the small intestine and suppress the increase of blood glucose value after administration of sucrose.40 So far no study has highlighted the effect of gurmar under different internal states (fasting verses non-fasting) on the consumption of sugar in any animal model. Moreover, our results suggest that whole gurmar (dry leaf powder) consumption has deleterious effects on the development and overall health of the organism as seen here in the case of Drosophila (Figure 3C). Our data suggest that one has to be cautious when considering such ways of treating diabetes or to control the body weight. The effect of G. sylvestre in alloxan induced diabetic rabbits by feeding crude leaf powder at a dosage of 250 mg/kg body weight once a day (did not feed animals every time before the meal) produced blood glucose homeostasis and increased activities of enzymes affording the utilization of glucose by insulin dependent pathways. The inhibitory effects of G. sylvestre and purified gymnemic acid on Gastric Inhibitory Peptide (GIP) release were studied in rats. The inhibition of GIP release by gymnemic acid was attributed to the interaction with the glucose receptor and found similar in specificity to the active glucose transport system. These results suggested that a glucose receptor interacts with the leaf extracts of G. sylvestre and purified gymnemic acid.41 We also found a reduction in sugar intake for many sugars after a long starvation time in our invertebrate model system (Figure 5A). Our studies do not claim where and how gurmar interacts to modulate the sweet taste behaviour. The identity of specific sugar receptor or neurons that interacts with gurmar is yet to be found. Our data suggest that gurmar might possibly interact with many sugar receptors in flies to modulate sugar consumption depending on the internal state of the animal and may have effects on higher brain centres (memory) as well (Figure 6). Modern dietary supplements containing G. sylvestre, taken by diabetic patients, are typically intended to control sugar cravings and help with weight loss.36 Hence, many pieces of evidence have supported the fact that gurmar reduces the blood sugar level. Our study focused for the first time on how whole gurmar (in raw dry leaves powdered form) acts on sweet taste feeding behaviour and alters the sugar intake in insects. For the same, we have compared our results in the healthy wildtype flies without using any obese or mutant flies that suffer from high levels of circulating sugar in the body. Our data on gurmar suggests that apart from its modulatory effects on sugar intake after starvation, it has detrimental effects on the health of the flies if fed throughout (Figure 3). Also, flies lay a fewer number of eggs on gurmar media and die earlier (Figure 3B), suggesting its potential in developing cost-effective strategies for pest control using the raw powdered form of gurmar. How gurmar blocks the sugar receptors and acts on taste circuits or higher brain centres to modulate the sugar feeding is not known (Figure 6). Detailed examination of the impact of gurmar molecularly and behaviourally on appetitive cues like sugar on the brain’s reward circuitry that leads to overeating and metabolic issues will further help in understanding underlying mechanisms that drive changes in neural activity. Understanding how gurmar reshapes sugar taste curves to promote reduced consumption of carbohydrates and sugars in flies may open up avenues to help people with health issues related to high sugar consumption by reducing sugar intake to the recommended level. Our study is an advancement in the understanding of how gurmar intake modulates sweet taste behaviour using Drosophila as a model system. This is the first kind of study that shows modulation of sweet taste behaviour in two different internal states (fed and starved) after pre-consumption of gurmar in flies. We do not intend to claim that these results support or are in in contradiction of gurmar usage by humans. Experimental procedures: Fly stocks CsBz wildtype flies were received from National Centre for Biological Sciences (NCBS-TIFR), Bangalore, India. Drosophila were reared on standard cornmeal dextrose medium at 25° C, unless specified otherwise. The media composition for Drosophila used is (1 liter of media) - corn flour (80 g), D-glucose (20 g, SRL-CAS Number-50-99-7), Sugar (40 g), Agar (8 g, SRL-CAS Number-9002-18-0), Yeast powder [15 g, SRL-REF-34266 (YI 012)], propionic acid (4 ml, SRL, CAS Number-79-09-4), TEGO (1.25 g in 3 ml of ethanol, fisher scientific, CAS Number-99-76-3), and Orthophosphoric acid (600ul, SRL, CAS Number-7664-38-2). CsBz wildtype flies were received from National Centre for Biological Sciences (NCBS-TIFR), Bangalore, India. Drosophila were reared on standard cornmeal dextrose medium at 25° C, unless specified otherwise. The media composition for Drosophila used is (1 liter of media) - corn flour (80 g), D-glucose (20 g, SRL-CAS Number-50-99-7), Sugar (40 g), Agar (8 g, SRL-CAS Number-9002-18-0), Yeast powder [15 g, SRL-REF-34266 (YI 012)], propionic acid (4 ml, SRL, CAS Number-79-09-4), TEGO (1.25 g in 3 ml of ethanol, fisher scientific, CAS Number-99-76-3), and Orthophosphoric acid (600ul, SRL, CAS Number-7664-38-2). Feeding assays For binary choice feeding assays, wildtype flies were raised from eggs to adults at 25° C. Flies were sorted in vials of 10 males and 10 females (20 flies/vial) upon eclosion and maintained at 25° C for 3 days on fresh media, after which flies were starved for 24 h at 25° C. Flies were tested as described previously,42,43 and abdominal coloration was scored as positive if there was any pink or red eating. Purple scored as 1/2 (when consumed red and blue dyes both) and none (no visible pink or red coloration). 60 × 15 mm feeding plates from Tarsons were used for the assay. % flies feeding was calculated as follows: First, we calculated % flies feeding on gurmar for each plate. Later mean of % flies feeding for 6 plates was calculated. For binary choice feeding assays, wildtype flies were raised from eggs to adults at 25° C. Flies were sorted in vials of 10 males and 10 females (20 flies/vial) upon eclosion and maintained at 25° C for 3 days on fresh media, after which flies were starved for 24 h at 25° C. Flies were tested as described previously,42,43 and abdominal coloration was scored as positive if there was any pink or red eating. Purple scored as 1/2 (when consumed red and blue dyes both) and none (no visible pink or red coloration). 60 × 15 mm feeding plates from Tarsons were used for the assay. % flies feeding was calculated as follows: First, we calculated % flies feeding on gurmar for each plate. Later mean of % flies feeding for 6 plates was calculated. Tarsal proboscis extension reflex (PER) assay 2–3 days old wildtype flies were collected after eclosion and kept on standard food for 3 days. Mix of both male and female flies were used for the PER assay. Flies were tested as described previously,43 Before the assay, flies were starved for 24 h in vials with water-saturated (4 ml) tissue papers. Prior to the PER experiment, no chemical anesthesia was used, instead flies were immobilized by cooling on ice for at least 20 min and then mounted using nail polish, vertical aspect up, on glass slides (76 mm × 26 mm × 1 mm from Borosil). Mounted flies were allowed to recover in a moist chamber (plastic box with wet tissues) for at least 1–2 h prior to testing. Tastant solutions prepared in water were applied directly to tarsi via a drop extruded using 2-ul pipette. Flies were allowed to drink water ad libitum before testing the compounds. Flies not responding to water were excluded before the assay. Flies showing no movement were also excluded. Flies satiated with water were then tested with sucrose and gurmar (whole gurmar with liquid and solid particles floating was taken immediately after vortexing). Ingestion of any tastant solutions was not allowed and following each tastant application, flies were retested with water as a negative control. Each fly was tested five times with tastant solution stimuli (tastant was directly applied to the tarsi). The interval between consecutive tastant solution applications was at least 2–3 min to minimize adaptation. Flies showing three or more proboscis extensions were considered responders. For all PER experiments, three sets of at least 20 flies each were tested and the percentage of responders was calculated for each set. PER graphs depict mean responses and error bars indicate standard error of the mean (SEM). 2–3 days old wildtype flies were collected after eclosion and kept on standard food for 3 days. Mix of both male and female flies were used for the PER assay. Flies were tested as described previously,43 Before the assay, flies were starved for 24 h in vials with water-saturated (4 ml) tissue papers. Prior to the PER experiment, no chemical anesthesia was used, instead flies were immobilized by cooling on ice for at least 20 min and then mounted using nail polish, vertical aspect up, on glass slides (76 mm × 26 mm × 1 mm from Borosil). Mounted flies were allowed to recover in a moist chamber (plastic box with wet tissues) for at least 1–2 h prior to testing. Tastant solutions prepared in water were applied directly to tarsi via a drop extruded using 2-ul pipette. Flies were allowed to drink water ad libitum before testing the compounds. Flies not responding to water were excluded before the assay. Flies showing no movement were also excluded. Flies satiated with water were then tested with sucrose and gurmar (whole gurmar with liquid and solid particles floating was taken immediately after vortexing). Ingestion of any tastant solutions was not allowed and following each tastant application, flies were retested with water as a negative control. Each fly was tested five times with tastant solution stimuli (tastant was directly applied to the tarsi). The interval between consecutive tastant solution applications was at least 2–3 min to minimize adaptation. Flies showing three or more proboscis extensions were considered responders. For all PER experiments, three sets of at least 20 flies each were tested and the percentage of responders was calculated for each set. PER graphs depict mean responses and error bars indicate standard error of the mean (SEM). Chemicals used All the sugars used in the study were obtained from Sigma Aldrich- Sucrose (57-50-1), Fructose (57-48-7), Trehalose (6138-23-4), Sucralose, D-(+)-Glucose (50-99-7), L-(-)-Glucose (921-60-8), Galactose (59-23-4), Arabinose (10323-20-3), Sorbitol (50-70-4). NaCl salt (fisher Scientific- 7647-14-5) was of 99.9% purity. Gurmar (Neutraved Gurmar powder from Amazon), Blue dye- Indigo carmine (Sigma: 860-22-0) and Red dye-Sulforhodamine B (Sigma- 3520-42-1). Bitter and acid compounds used were also obtained from Sigma Aldrich- Caffeine (58-08-2), Denetonium Benzoate (3734-33-6), Quinine (130-95-0), Linolenic Acid (60-33-3), Octanoic Acid (124-07-2), Hexanoic Acid (142-62-1), Acetic Acid (64-19-7), Citric Acid (5949-29-1), Glycolic Acid (79-14-1). All the sugars used in the study were obtained from Sigma Aldrich- Sucrose (57-50-1), Fructose (57-48-7), Trehalose (6138-23-4), Sucralose, D-(+)-Glucose (50-99-7), L-(-)-Glucose (921-60-8), Galactose (59-23-4), Arabinose (10323-20-3), Sorbitol (50-70-4). NaCl salt (fisher Scientific- 7647-14-5) was of 99.9% purity. Gurmar (Neutraved Gurmar powder from Amazon), Blue dye- Indigo carmine (Sigma: 860-22-0) and Red dye-Sulforhodamine B (Sigma- 3520-42-1). Bitter and acid compounds used were also obtained from Sigma Aldrich- Caffeine (58-08-2), Denetonium Benzoate (3734-33-6), Quinine (130-95-0), Linolenic Acid (60-33-3), Octanoic Acid (124-07-2), Hexanoic Acid (142-62-1), Acetic Acid (64-19-7), Citric Acid (5949-29-1), Glycolic Acid (79-14-1). Spectrophotometry analysis After 2 h of feeding on blue spots with the tastant (50 mM sucrose, 2.5% gurmar, 5% gurmar, 10% gurmar and various concentrations of gurmar mixed with sucrose) flies were pooled in equal numbers (60 flies × 2 sets) for each condition and were put in 2 ml eppendorf in 70% ethanol (Figure 1C). Flies were first crushed in 150ul of 70% ethanol and then 150ul 70% ethanol was added to crush them more. After crushing, 200 ul of double-distilled water (to remove the content sticking to the pestle and wall of the eppendorf tube) was added in the same soup and centrifugation was done at 3000 rpm for 15 min. After centrifugation, the pellet was discarded and the supernatant was transferred into the fresh eppendorfs. To do the spectrophotometry analysis, the supernatant was further diluted with 350 ul double distilled water to make up the total final volume of 600ul in the cuvette. Spectrophotometry analysis was done at 630 nm wavelength. Readings were taken for each sample and only the mean values were plotted. The spectrophotometer used was Perkin Elmer, lambda 35 UV/VIS Spectrometer. After 2 h of feeding on blue spots with the tastant (50 mM sucrose, 2.5% gurmar, 5% gurmar, 10% gurmar and various concentrations of gurmar mixed with sucrose) flies were pooled in equal numbers (60 flies × 2 sets) for each condition and were put in 2 ml eppendorf in 70% ethanol (Figure 1C). Flies were first crushed in 150ul of 70% ethanol and then 150ul 70% ethanol was added to crush them more. After crushing, 200 ul of double-distilled water (to remove the content sticking to the pestle and wall of the eppendorf tube) was added in the same soup and centrifugation was done at 3000 rpm for 15 min. After centrifugation, the pellet was discarded and the supernatant was transferred into the fresh eppendorfs. To do the spectrophotometry analysis, the supernatant was further diluted with 350 ul double distilled water to make up the total final volume of 600ul in the cuvette. Spectrophotometry analysis was done at 630 nm wavelength. Readings were taken for each sample and only the mean values were plotted. The spectrophotometer used was Perkin Elmer, lambda 35 UV/VIS Spectrometer. Lethality profile To calculate the number of flies dying on 5 and 10% gurmar mixed with fly media, for each concentration of gurmar 20 flies in each vial (10 male and 10 females) were kept in batches (X6). Flies were transferred on alternate days to fresh media and the number of flies dying every day were counted for the days specified in the graph. Flies kept on normal media were used as the control. To calculate the number of flies dying on 5 and 10% gurmar mixed with fly media, for each concentration of gurmar 20 flies in each vial (10 male and 10 females) were kept in batches (X6). Flies were transferred on alternate days to fresh media and the number of flies dying every day were counted for the days specified in the graph. Flies kept on normal media were used as the control. Egg counting Mated flies were kept on normal media first to synchronize the flies and then shifted to different media conditions (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media) for egg laying. Synchronization was done for two days by transferring flies on normal media for each condition at least three times a day. Each vial had 25 females and 15 males (N = 6 vials for each condition). Flies were transferred on different media plates for egg collection. Yeast paste was used to stimulate the mating. After 20 h, flies were removed from the egg chamber plates (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media). After egg laying, the number of eggs was counted for each plate and mean number of eggs was calculated and plotted for each condition. Mated flies were kept on normal media first to synchronize the flies and then shifted to different media conditions (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media) for egg laying. Synchronization was done for two days by transferring flies on normal media for each condition at least three times a day. Each vial had 25 females and 15 males (N = 6 vials for each condition). Flies were transferred on different media plates for egg collection. Yeast paste was used to stimulate the mating. After 20 h, flies were removed from the egg chamber plates (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media). After egg laying, the number of eggs was counted for each plate and mean number of eggs was calculated and plotted for each condition. Developmental profile analysis Synchronized flies were transferred to fresh normal media vials, 5% gurmar mixed in normal media vials and 10% gurmar mixed in normal media vials. Flies were allowed to lay eggs for two days and later removed from the vials. Fly development, eclosion time and total flies emerged were observed for the next 7 days. N = 6 vials (20 flies each). Synchronized flies were transferred to fresh normal media vials, 5% gurmar mixed in normal media vials and 10% gurmar mixed in normal media vials. Flies were allowed to lay eggs for two days and later removed from the vials. Fly development, eclosion time and total flies emerged were observed for the next 7 days. N = 6 vials (20 flies each). Fly size measurement While measuring the length of the flies only the body was considered. Wings were not considered to measure body size. While measuring the length of the flies only the body was considered. Wings were not considered to measure body size. Microscopy used for image analysis and movie making Olympus SZX10 dual tube microscope was used for generating images and Olympus SZ61 stereomicroscopes for doing the general fly pushing. Olympus SZX10 dual tube microscope was used for generating images and Olympus SZ61 stereomicroscopes for doing the general fly pushing. Statistical analyses Unless otherwise stated, differences between means of different groups were evaluated for statistical significance with parametric ANOVA followed by post hoc Tukey multiple comparisons test for obtaining the p- values. For any other statistical analysis as well, only ANOVA was used. Unless otherwise stated, differences between means of different groups were evaluated for statistical significance with parametric ANOVA followed by post hoc Tukey multiple comparisons test for obtaining the p- values. For any other statistical analysis as well, only ANOVA was used. Fly stocks: CsBz wildtype flies were received from National Centre for Biological Sciences (NCBS-TIFR), Bangalore, India. Drosophila were reared on standard cornmeal dextrose medium at 25° C, unless specified otherwise. The media composition for Drosophila used is (1 liter of media) - corn flour (80 g), D-glucose (20 g, SRL-CAS Number-50-99-7), Sugar (40 g), Agar (8 g, SRL-CAS Number-9002-18-0), Yeast powder [15 g, SRL-REF-34266 (YI 012)], propionic acid (4 ml, SRL, CAS Number-79-09-4), TEGO (1.25 g in 3 ml of ethanol, fisher scientific, CAS Number-99-76-3), and Orthophosphoric acid (600ul, SRL, CAS Number-7664-38-2). Feeding assays: For binary choice feeding assays, wildtype flies were raised from eggs to adults at 25° C. Flies were sorted in vials of 10 males and 10 females (20 flies/vial) upon eclosion and maintained at 25° C for 3 days on fresh media, after which flies were starved for 24 h at 25° C. Flies were tested as described previously,42,43 and abdominal coloration was scored as positive if there was any pink or red eating. Purple scored as 1/2 (when consumed red and blue dyes both) and none (no visible pink or red coloration). 60 × 15 mm feeding plates from Tarsons were used for the assay. % flies feeding was calculated as follows: First, we calculated % flies feeding on gurmar for each plate. Later mean of % flies feeding for 6 plates was calculated. Tarsal proboscis extension reflex (PER) assay: 2–3 days old wildtype flies were collected after eclosion and kept on standard food for 3 days. Mix of both male and female flies were used for the PER assay. Flies were tested as described previously,43 Before the assay, flies were starved for 24 h in vials with water-saturated (4 ml) tissue papers. Prior to the PER experiment, no chemical anesthesia was used, instead flies were immobilized by cooling on ice for at least 20 min and then mounted using nail polish, vertical aspect up, on glass slides (76 mm × 26 mm × 1 mm from Borosil). Mounted flies were allowed to recover in a moist chamber (plastic box with wet tissues) for at least 1–2 h prior to testing. Tastant solutions prepared in water were applied directly to tarsi via a drop extruded using 2-ul pipette. Flies were allowed to drink water ad libitum before testing the compounds. Flies not responding to water were excluded before the assay. Flies showing no movement were also excluded. Flies satiated with water were then tested with sucrose and gurmar (whole gurmar with liquid and solid particles floating was taken immediately after vortexing). Ingestion of any tastant solutions was not allowed and following each tastant application, flies were retested with water as a negative control. Each fly was tested five times with tastant solution stimuli (tastant was directly applied to the tarsi). The interval between consecutive tastant solution applications was at least 2–3 min to minimize adaptation. Flies showing three or more proboscis extensions were considered responders. For all PER experiments, three sets of at least 20 flies each were tested and the percentage of responders was calculated for each set. PER graphs depict mean responses and error bars indicate standard error of the mean (SEM). Chemicals used: All the sugars used in the study were obtained from Sigma Aldrich- Sucrose (57-50-1), Fructose (57-48-7), Trehalose (6138-23-4), Sucralose, D-(+)-Glucose (50-99-7), L-(-)-Glucose (921-60-8), Galactose (59-23-4), Arabinose (10323-20-3), Sorbitol (50-70-4). NaCl salt (fisher Scientific- 7647-14-5) was of 99.9% purity. Gurmar (Neutraved Gurmar powder from Amazon), Blue dye- Indigo carmine (Sigma: 860-22-0) and Red dye-Sulforhodamine B (Sigma- 3520-42-1). Bitter and acid compounds used were also obtained from Sigma Aldrich- Caffeine (58-08-2), Denetonium Benzoate (3734-33-6), Quinine (130-95-0), Linolenic Acid (60-33-3), Octanoic Acid (124-07-2), Hexanoic Acid (142-62-1), Acetic Acid (64-19-7), Citric Acid (5949-29-1), Glycolic Acid (79-14-1). Spectrophotometry analysis: After 2 h of feeding on blue spots with the tastant (50 mM sucrose, 2.5% gurmar, 5% gurmar, 10% gurmar and various concentrations of gurmar mixed with sucrose) flies were pooled in equal numbers (60 flies × 2 sets) for each condition and were put in 2 ml eppendorf in 70% ethanol (Figure 1C). Flies were first crushed in 150ul of 70% ethanol and then 150ul 70% ethanol was added to crush them more. After crushing, 200 ul of double-distilled water (to remove the content sticking to the pestle and wall of the eppendorf tube) was added in the same soup and centrifugation was done at 3000 rpm for 15 min. After centrifugation, the pellet was discarded and the supernatant was transferred into the fresh eppendorfs. To do the spectrophotometry analysis, the supernatant was further diluted with 350 ul double distilled water to make up the total final volume of 600ul in the cuvette. Spectrophotometry analysis was done at 630 nm wavelength. Readings were taken for each sample and only the mean values were plotted. The spectrophotometer used was Perkin Elmer, lambda 35 UV/VIS Spectrometer. Lethality profile: To calculate the number of flies dying on 5 and 10% gurmar mixed with fly media, for each concentration of gurmar 20 flies in each vial (10 male and 10 females) were kept in batches (X6). Flies were transferred on alternate days to fresh media and the number of flies dying every day were counted for the days specified in the graph. Flies kept on normal media were used as the control. Egg counting: Mated flies were kept on normal media first to synchronize the flies and then shifted to different media conditions (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media) for egg laying. Synchronization was done for two days by transferring flies on normal media for each condition at least three times a day. Each vial had 25 females and 15 males (N = 6 vials for each condition). Flies were transferred on different media plates for egg collection. Yeast paste was used to stimulate the mating. After 20 h, flies were removed from the egg chamber plates (NM-normal media, 5% gurmar mixed with normal fly media and 10% gurmar mixed with normal fly media). After egg laying, the number of eggs was counted for each plate and mean number of eggs was calculated and plotted for each condition. Developmental profile analysis: Synchronized flies were transferred to fresh normal media vials, 5% gurmar mixed in normal media vials and 10% gurmar mixed in normal media vials. Flies were allowed to lay eggs for two days and later removed from the vials. Fly development, eclosion time and total flies emerged were observed for the next 7 days. N = 6 vials (20 flies each). Fly size measurement: While measuring the length of the flies only the body was considered. Wings were not considered to measure body size. Microscopy used for image analysis and movie making: Olympus SZX10 dual tube microscope was used for generating images and Olympus SZ61 stereomicroscopes for doing the general fly pushing. Statistical analyses: Unless otherwise stated, differences between means of different groups were evaluated for statistical significance with parametric ANOVA followed by post hoc Tukey multiple comparisons test for obtaining the p- values. For any other statistical analysis as well, only ANOVA was used.
Background: Sugar is the main source of energy for nearly all animals. However, consumption of a high amount of sugars can lead to many metabolic disorders hence, balancing calorie intake in the form of sugar is required. Various herbs are in use to control body weight, cure diabetes and control elevated blood sugar levels. One such herb is Gymnema sylvestre commonly called Gurmar (destroyer of sugar). Gurmar selectively inhibits sugar sensation by mechanisms that are still elusive. Methods: For this study, we used feeding assays, spectrophotometry and Proboscis Extension Reflex (PER) assay to determine how flies detect gurmar. Additionally, life span analysis, egg-laying behaviour and developmental profiles were used to probe the role of gurmar on the overall health of the flies. During the whole study, we used only the raw powdered form of gurmar (dried leaves) to examine its effect on sweet taste feeding behaviour. Results: Our data demonstrate that whole gurmar in a raw powdered form is aversive to flies and inhibits sugar evoked PER and feeding responses. Also, we observed it takes at least 24 h of starvation time to reduce the consumption of sugar in flies pre-fed on gurmar. Flies lay a fewer number of eggs on gurmar media and show developmental defects. Our data suggest that flies detect gurmar using both taste and olfactory cues. Conclusions: Understanding how gurmar reshapes taste curves to promote reduced consumption of sugars in flies will open up avenues to help people with health issues related to high sugar consumption, but our data also highlights that its consumption should be carefully considered since gurmar is aversive to flies and has detrimental effects on development.
null
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14,012
319
[ 390, 519, 277, 545, 696, 166, 156, 334, 238, 218, 81, 170, 71, 22, 21, 45 ]
20
[ "flies", "gurmar", "feeding", "10", "figure", "media", "sucrose", "10 gurmar", "normal", "mm" ]
[ "suggest inhibition sugar", "sweeteners sugar", "gurmar consume sugar", "gurmarin suppresses sweet", "sugar treat diabetes" ]
null
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[CONTENT] taste | Drosophila | sugar | modulation | starvation [SUMMARY]
[CONTENT] taste | Drosophila | sugar | modulation | starvation [SUMMARY]
[CONTENT] taste | Drosophila | sugar | modulation | starvation [SUMMARY]
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[CONTENT] taste | Drosophila | sugar | modulation | starvation [SUMMARY]
null
[CONTENT] Animals | Drosophila melanogaster | Energy Intake | Feeding Behavior | Gymnema sylvestre | Humans | Taste [SUMMARY]
[CONTENT] Animals | Drosophila melanogaster | Energy Intake | Feeding Behavior | Gymnema sylvestre | Humans | Taste [SUMMARY]
[CONTENT] Animals | Drosophila melanogaster | Energy Intake | Feeding Behavior | Gymnema sylvestre | Humans | Taste [SUMMARY]
null
[CONTENT] Animals | Drosophila melanogaster | Energy Intake | Feeding Behavior | Gymnema sylvestre | Humans | Taste [SUMMARY]
null
[CONTENT] suggest inhibition sugar | sweeteners sugar | gurmar consume sugar | gurmarin suppresses sweet | sugar treat diabetes [SUMMARY]
[CONTENT] suggest inhibition sugar | sweeteners sugar | gurmar consume sugar | gurmarin suppresses sweet | sugar treat diabetes [SUMMARY]
[CONTENT] suggest inhibition sugar | sweeteners sugar | gurmar consume sugar | gurmarin suppresses sweet | sugar treat diabetes [SUMMARY]
null
[CONTENT] suggest inhibition sugar | sweeteners sugar | gurmar consume sugar | gurmarin suppresses sweet | sugar treat diabetes [SUMMARY]
null
[CONTENT] flies | gurmar | feeding | 10 | figure | media | sucrose | 10 gurmar | normal | mm [SUMMARY]
[CONTENT] flies | gurmar | feeding | 10 | figure | media | sucrose | 10 gurmar | normal | mm [SUMMARY]
[CONTENT] flies | gurmar | feeding | 10 | figure | media | sucrose | 10 gurmar | normal | mm [SUMMARY]
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[CONTENT] flies | gurmar | feeding | 10 | figure | media | sucrose | 10 gurmar | normal | mm [SUMMARY]
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[CONTENT] taste | sweet | sweet taste | sugar | effect | gurmar | sylvestre | gustatory | mammals | gurmarin [SUMMARY]
[CONTENT] flies | media | normal | gurmar | acid | tastant | fly | number | vials | water [SUMMARY]
[CONTENT] gurmar | flies | feeding | figure | sucrose | 10 | 10 gurmar | mm | media | compared [SUMMARY]
null
[CONTENT] flies | gurmar | feeding | media | figure | 10 | normal | sucrose | 10 gurmar | normal media [SUMMARY]
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[CONTENT] ||| ||| ||| One | Gymnema | Gurmar ||| Gurmar [SUMMARY]
[CONTENT] Proboscis Extension Reflex ||| ||| gurmar [SUMMARY]
[CONTENT] ||| at least 24 ||| ||| [SUMMARY]
null
[CONTENT] ||| ||| ||| One | Gymnema | Gurmar ||| Gurmar ||| Proboscis Extension Reflex ||| ||| gurmar ||| ||| ||| at least 24 ||| ||| ||| gurmar | gurmar [SUMMARY]
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Clustering of diet- and activity-related parenting practices: cross-sectional findings of the INPACT study.
23531232
Various diet- and activity-related parenting practices are positive determinants of child dietary and activity behaviour, including home availability, parental modelling and parental policies. There is evidence that parenting practices cluster within the dietary domain and within the activity domain. This study explores whether diet- and activity-related parenting practices cluster across the dietary and activity domain. Also examined is whether the clusters are related to child and parental background characteristics. Finally, to indicate the relevance of the clusters in influencing child dietary and activity behaviour, we examined whether clusters of parenting practices are related to these behaviours.
BACKGROUND
Data were used from 1480 parent-child dyads participating in the Dutch IVO Nutrition and Physical Activity Child cohorT (INPACT). Parents of children aged 8-11 years completed questionnaires at home assessing their diet- and activity-related parenting practices, child and parental background characteristics, and child dietary and activity behaviours. Principal component analysis (PCA) was used to identify clusters of parenting practices. Backward regression analysis was used to examine the relationship between child and parental background characteristics with cluster scores, and partial correlations to examine associations between cluster scores and child dietary and activity behaviours.
METHODS
PCA revealed five clusters of parenting practices: 1) high visibility and accessibility of screens and unhealthy food, 2) diet- and activity-related rules, 3) low availability of unhealthy food, 4) diet- and activity-related positive modelling, and 5) positive modelling on sports and fruit. Low parental education was associated with unhealthy cluster 1, while high(er) education was associated with healthy clusters 2, 3 and 5. Separate clusters were related to both child dietary and activity behaviour in the hypothesized directions: healthy clusters were positively related to obesity-reducing behaviours and negatively to obesity-inducing behaviours.
RESULTS
Parenting practices cluster across the dietary and activity domain. Parental education can be seen as an indicator of a broader parental context in which clusters of parenting practices operate. Separate clusters are related to both child dietary and activity behaviour. Interventions that focus on clusters of parenting practices to assist parents (especially low-educated parents) in changing their child's dietary and activity behaviour seems justified.
CONCLUSION
[ "Child", "Child Behavior", "Cluster Analysis", "Cross-Sectional Studies", "Diet", "Educational Status", "Exercise", "Feeding Behavior", "Female", "Health Behavior", "Humans", "Male", "Obesity", "Parenting", "Parents", "Regression Analysis", "Sedentary Behavior", "Sports" ]
3618009
Background
Diets rich in fruit and vegetables and an active lifestyle are associated with important health protective effects, including protection against some types of cancer, cardiovascular diseases, type 2 diabetes and overweight [1,2]. There is considerable evidence that children consume less fruit and vegetables than is recommended [3-7] and that they do not meet physical activity (PA) recommendations [8]. Because diet- and activity-related habits established in childhood often track through to adulthood [9-11], these energy balance-related behaviours (EBRBs) should be improved at an early age. Improvement of these behaviours requires understanding of the factors determining children’s EBRBs. The home environment is a critical context for the development of children’s eating and activity behaviours [12-14]. Parents play a key role in shaping the home environment. In review studies on parental correlates of child fruit and vegetable consumption, the most consistently supported positive determinants of child and adolescent intake are parental dietary intake, parental modelling, home availability and accessibility, family rules, parental encouragement and parental education [12,15-18]. In addition, parental fat intake is a consistent and positive correlate of child fat intake [15]. Important positive parental correlates for child and adolescent PA are parental support, parental encouragement, paternal PA, maternal education level and family income [12,19,20]. Conceptually, such parental correlates can be divided into parenting practices (i.e. content-specific acts of parenting [21], such as rules about dietary intake or activity behaviour) and more general or distal parental factors (e.g., parental education and family income). The latter can be conceptualised as potential background variables or higher-order moderators of the relationship between parenting practices and child behaviour [7]. The current study focuses on clustering of parenting practices in relation to more distal parental factors. There is some evidence that parenting practices co-occur or ‘cluster’. Gubbels et al. [22] found evidence for clustering of diet-related restrictive parenting practices, namely a cluster characterised by prohibition of the intake of various snacks and soft drinks, and a separate cluster characterised by prohibition of cookies and cake. A study by Gattshall et al. [23] showed interdependencies between diet-related parenting practices for fruit and vegetables, and between PA-related parenting practices, i.e. availability, accessibility, parental role modelling and parental policies. However, they did not study interdependencies between diet- and activity-related parenting practices. To our knowledge, no studies have used a clustering approach to examine both diet- and activity-related parenting practices, while studies on this topic are needed to elucidate whether parenting practices cluster across the dietary and activity domain (e.g. parental rule setting regarding snacks and screen time). Clustering across domains could point to a broader parental context in which the clusters of parenting practices operate, e.g. a parental context of health beliefs. The potential synergy between parenting practices that occur in clusters could result in more efficient interventions aimed at improving diet-and activity-related parenting practices, by applying an integrated approach that addresses multiple parenting practices simultaneously [24]. To elucidate how clusters of parenting practices may arise, it is important to examine factors related to the potential clusters of parenting practices. These factors can be both child- and parent-related. In previous studies, child gender [25,26], weight [26-30], food neophobia [31] and eating style (hungry or picky) [26], as well as parental body mass index (BMI), eduation level, parenting style, employment, ethnicity and parental age [22,26,27,31-37] were related to diet-related parenting practices, while child gender and activity style (active or not) [26], parental education level and working hours per week were related to activity-related parenting practices [26]. To test the magnitude of their relevance, it is also important to relate potential clusters of parenting practices to child dietary and activity behaviours. We chose to relate them to obesity-reducing, i.e. child fruit intake, child active commuting to school, child outdoor playing and child sports participation, as well as obesity-inducing behaviours, i.e. child snack and sugar-sweetenend beverage (SSB) intake, and child screen time [38]. The aim of this study was to examine clustering of parenting practices across the dietary and activity domain in parents of children aged 8–11 years. Children and their parents were recruited from rural and urban general primary schools in southern Netherlands. Apart from clustering of parenting practices, we examined whether these potential clusters are associated with child- and parent-related factors, and with child dietary and activity behaviours. Based on earlier studies we included child gender, age, ethnicity and weight, and parental BMI, education level and parenting style as factors that could potentially be associated with the clusters. We hypothesised that the parenting practices would cluster within and across the dietary and activity domain, and that healthy clusters would positively relate to obesity-reducing behaviours and negatively to obesity-inducing behaviours.
Methods
Study design, setting, participants and procedure Data for this study were retrieved from the IVO Nutrition and Physical Activity Child cohorT (INPACT), for which approval was obtained from the Ethical Committee of the Erasmus MC (University Medical Center Rotterdam). INPACT is an observational study (initiated in 2008) focusing on modifiable determinants of overweight in the home environment of children aged 8–12 years in the Netherlands. INPACT was conducted among primary school children in southern Netherlands (Eindhoven area). In recruiting the schools in 2008, we collaborated with the Municipal Health Authority for Eindhoven and surrounding area (GGD Brabant-Zuidoost). The Municipal Health Authority invited all general primary schools in their service area to participate in the INPACT study. Of the 265 schools invited, 91 took part; the response rate from rural and urban schools was equal. The primary caregivers of third-grade students (aged ± 8 years) were invited to participate in the cohort study, together with their child. Of the 2948 parent–child dyads invited, 1839 (62.4%) gave written informed consent to participate in the INPACT study for four years. The study included four assessments, each separated by a one-year time interval, and started in the autumn of 2008 (baseline). In the assessments, primary caregivers completed a questionnaire at home, children completed a questionnaire at school, and qualified research assistants measured the children’s height and weight at school. The present study was based on data from 2008 (baseline) and 2009 (second assessment). Parents reported on child and parental background characteristics (2008), on their energy balance-related parenting practices (partly in 2008 and partly in 2009) and on their children’s energy balance-related behaviours (2009). In addition, child BMI z-scores from 2008 were used, which were based on measured height and weight. Parent–child dyads with complete data from baseline to 2009 were included in the present study, resulting in 1480 parent–child dyads (80% of the original cohort). Logistic regression analyses on selective dropout from baseline to 2009 showed that parent–child dyads who were not native Dutch dropped out more often. There was no selective dropout regarding child age/gender and parental education level. Data for this study were retrieved from the IVO Nutrition and Physical Activity Child cohorT (INPACT), for which approval was obtained from the Ethical Committee of the Erasmus MC (University Medical Center Rotterdam). INPACT is an observational study (initiated in 2008) focusing on modifiable determinants of overweight in the home environment of children aged 8–12 years in the Netherlands. INPACT was conducted among primary school children in southern Netherlands (Eindhoven area). In recruiting the schools in 2008, we collaborated with the Municipal Health Authority for Eindhoven and surrounding area (GGD Brabant-Zuidoost). The Municipal Health Authority invited all general primary schools in their service area to participate in the INPACT study. Of the 265 schools invited, 91 took part; the response rate from rural and urban schools was equal. The primary caregivers of third-grade students (aged ± 8 years) were invited to participate in the cohort study, together with their child. Of the 2948 parent–child dyads invited, 1839 (62.4%) gave written informed consent to participate in the INPACT study for four years. The study included four assessments, each separated by a one-year time interval, and started in the autumn of 2008 (baseline). In the assessments, primary caregivers completed a questionnaire at home, children completed a questionnaire at school, and qualified research assistants measured the children’s height and weight at school. The present study was based on data from 2008 (baseline) and 2009 (second assessment). Parents reported on child and parental background characteristics (2008), on their energy balance-related parenting practices (partly in 2008 and partly in 2009) and on their children’s energy balance-related behaviours (2009). In addition, child BMI z-scores from 2008 were used, which were based on measured height and weight. Parent–child dyads with complete data from baseline to 2009 were included in the present study, resulting in 1480 parent–child dyads (80% of the original cohort). Logistic regression analyses on selective dropout from baseline to 2009 showed that parent–child dyads who were not native Dutch dropped out more often. There was no selective dropout regarding child age/gender and parental education level. Sample characteristics At baseline (n=1839), 7% of the children were underweight, 79% had a normal weight and 14% were overweight, of which 3% were obese. The prevalence of overweight and obesity was similar to Dutch prevalence rates among primary school children [39]. The age of the children was 8 (77%) or 9 (20%) years (range 7–10 years, mean=8.2 years, SD=0.5). Boys (50.5%) and girls (49.5%) were represented in almost equal numbers. Of all children, 17% were from a non-Dutch ethnic background with one or both parents born abroad, of which 9% from non-western countries and 8% from western countries. Primary caregivers were predominantly female (92%). Of all primary caregivers, 21% had finished education at a low level, 45% at a medium level, 32% at a high level, and 2% at a non-specified level. Of the primary caregivers, 1% was underweight, 66% had a normal weight and 33% were overweight, of which 9% were obese. At baseline (n=1839), 7% of the children were underweight, 79% had a normal weight and 14% were overweight, of which 3% were obese. The prevalence of overweight and obesity was similar to Dutch prevalence rates among primary school children [39]. The age of the children was 8 (77%) or 9 (20%) years (range 7–10 years, mean=8.2 years, SD=0.5). Boys (50.5%) and girls (49.5%) were represented in almost equal numbers. Of all children, 17% were from a non-Dutch ethnic background with one or both parents born abroad, of which 9% from non-western countries and 8% from western countries. Primary caregivers were predominantly female (92%). Of all primary caregivers, 21% had finished education at a low level, 45% at a medium level, 32% at a high level, and 2% at a non-specified level. Of the primary caregivers, 1% was underweight, 66% had a normal weight and 33% were overweight, of which 9% were obese. Measures Diet- and activity-related parenting practices Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour. Descriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009) PA: physical activity SSB: sugar-sweetened beverage. aSeparate questions for sweet snacks and for savoury snacks. bSeparate questions for ‘how much’ and for ‘when’. c% ‘yes’ on both questions. d% ‘yes’ on one of the two questions. eParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section). The HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1). For all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed. Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour. Descriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009) PA: physical activity SSB: sugar-sweetened beverage. aSeparate questions for sweet snacks and for savoury snacks. bSeparate questions for ‘how much’ and for ‘when’. c% ‘yes’ on both questions. d% ‘yes’ on one of the two questions. eParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section). The HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1). For all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed. Child dietary and activity behaviours Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking). Children’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12). Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking). Children’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12). Child and parental background characteristics Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers. Parenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used). In addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58]. Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers. Parenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used). In addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58]. Diet- and activity-related parenting practices Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour. Descriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009) PA: physical activity SSB: sugar-sweetened beverage. aSeparate questions for sweet snacks and for savoury snacks. bSeparate questions for ‘how much’ and for ‘when’. c% ‘yes’ on both questions. d% ‘yes’ on one of the two questions. eParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section). The HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1). For all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed. Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour. Descriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009) PA: physical activity SSB: sugar-sweetened beverage. aSeparate questions for sweet snacks and for savoury snacks. bSeparate questions for ‘how much’ and for ‘when’. c% ‘yes’ on both questions. d% ‘yes’ on one of the two questions. eParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section). The HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1). For all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed. Child dietary and activity behaviours Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking). Children’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12). Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking). Children’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12). Child and parental background characteristics Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers. Parenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used). In addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58]. Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers. Parenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used). In addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58]. Strategy for analyses All analyses were performed using IBM SPSS Statistics version 19.0. Cases with missing values were excluded per analysis. To describe the study population, we computed medians, interquartile ranges and percentages for socio-demographic variables and child dietary and activity behaviours. Principal component analysis (PCA) with oblique rotation was performed to examine clustering of diet-related and activity-related parenting practises. Oblique rotation was chosen because of the expected association between the extracted components [59]. A scree plot was used to determine the number of components. Items with absolute component loadings larger than 0.4 were considered part of the component, in line with previous research [59]. Cluster scores were computed for each child as each parenting practice measure multiplied by their corresponding component loading [60]. The parenting practice cluster scores were then used as separate dependent variables in backward linear regression analyses, to examine the relationship with parental characteristics (parental education level, parental BMI at baseline and parenting style dimensions) and child characteristics (gender, age, ethnicity and BMI z-score at baseline). Partial correlation was used to assess the associations between cluster scores and child dietary and activity behaviours. These analyses were corrected for the child and parent background characteristics mentioned above. All analyses were performed using IBM SPSS Statistics version 19.0. Cases with missing values were excluded per analysis. To describe the study population, we computed medians, interquartile ranges and percentages for socio-demographic variables and child dietary and activity behaviours. Principal component analysis (PCA) with oblique rotation was performed to examine clustering of diet-related and activity-related parenting practises. Oblique rotation was chosen because of the expected association between the extracted components [59]. A scree plot was used to determine the number of components. Items with absolute component loadings larger than 0.4 were considered part of the component, in line with previous research [59]. Cluster scores were computed for each child as each parenting practice measure multiplied by their corresponding component loading [60]. The parenting practice cluster scores were then used as separate dependent variables in backward linear regression analyses, to examine the relationship with parental characteristics (parental education level, parental BMI at baseline and parenting style dimensions) and child characteristics (gender, age, ethnicity and BMI z-score at baseline). Partial correlation was used to assess the associations between cluster scores and child dietary and activity behaviours. These analyses were corrected for the child and parent background characteristics mentioned above.
Results
Children had an average weekly fruit consumption of 7.4 pieces (SD=4.2; range: 0–28), an average weekly snack intake of 9.7 pieces (SD=5.8; range: 0–35) and an average weekly SSB intake of 9.1 glasses (SD=8.3; range: 0–42). Only 15% of the children met the recommended Dutch norm of at least 14 pieces of fruit per week [61]. On average, children went to school on foot or by bicycle on 4.3 days per week (SD=1.3; range: 0–5), played outside on 6.6 days per week (SD=0.8, range: 0–7), participated in a sport at a sports club on 2.5 days per week (SD=1.3; range: 0–7), watched television on 6.7 days per week (SD=0.89, range: 0–7) and played on the computer on 4.7 days per week (SD=2.0; range 0–7). Of all children, 75% commuted to school in an active way all 5 days of the school week, 77% played outside all 7 days of the week, 86% watched television all 7 days of the week and 32% played on the computer all 7 days of the week. PCA revealed 5 parenting practice clusters (Table 2). The first cluster included a high visibility and accessibility of SSB and snacks, a high availability of screens in the child’s bedroom and a low score on parental healthy eating policies (‘high visibility and accessibility of screens and unhealthy food’ cluster). The second cluster included snack and SSB rules, screen-time rules and sports rules (‘diet- and activity-related rules’ cluster). The third cluster combined a low availability of snacks and SSBs with a low accessibility of snacks and SSBs (‘low availability of unhealthy food’ cluster). The fourth cluster included parental modelling of healthy eating, as well as low parental sedentary modelling, low parental snack intake and high accessibility of PA equipment (‘diet- and activity-related positive modelling’ cluster). The final cluster combined high parental sports days and high parental fruit intake with positive PA modelling (‘positive modelling on sports and fruit’ cluster). The five parenting practice clusters explained 32.0% of the variance in the original items. Cluster 1 and 2 were negatively correlated (r=-0.16), while cluster 2 and 4 (r=0.17) and 4 and 5 (r=0.12) were positively correlated. The remaining combinations of clusters were not related (r<0.10). Component loadings of principal component analysis on diet- and activity-related parenting practices (n=1059, missings list wise) PA: physical activity SSB: sugar-sweetened beverage. Data printed bold indicate absolute component loadings larger than 0.4 (= part of the component). Variance explained by component 1 = 10.6%; variance explained by component 2 = 6.4%; variance explained by component 3 = 5.7%; variance explained by component 4 = 5.0% and variance explained by component 5 = 4.3%. Results of the regression analyses with the cluster scores as dependent variables (Table 3) showed that parents of non-western and western immigrant children, parents with a higher BMI, lower education and parents who used higher levels of psychological control scored significantly higher on the ‘high visibility and accessibility of screens and unhealthy food’ cluster. The ‘diet- and activity-related rules’ cluster was positively associated with a high parental education and with higher levels of behavioural control. Parents of non-western and western immigrant children as well as high-educated parents scored significantly higher on the ‘low availability of unhealthy food’ cluster. The ‘diet- and activity-related positive modelling’ cluster was positively associated with child BMI z-scores, negatively with parental BMI and psychological control, and positively with behavioural control. Finally, middle and high-educated parents and parents who used higher levels of behavioural control scored significantly higher on sports- and fruit-related positive modelling (cluster 5). Child and parental characteristics related to cluster scores (standardized regression coefficients backward regression), n=981 1 1child characteristics: gender, age, ethnicity, BMI z-score; parental characteristics: parental education level, parental BMI; parenting style dimensions; * correlation is significant at the 0.05 level (2-tailed); ** correlation is significant at the 0.01 level (2-tailed); *** correlation is significant at the 0.001 level (2-tailed). 2R2=0.14. 3R2=0.03. 4R2=0.09. 5R2=0.07. 6R2=0.04. As shown in Table 4, partial correlations revealed that the cluster high in visibility and accessibility of screens and unhealthy food was negatively associated with child fruit intake, and positively with child snack intake, SSB intake and screen time. The diet- and activity-related rules cluster was positively associated with child fruit intake and child active transport, but negatively associated with child snack and SSB intake and child screen time. The cluster of low availability of unhealthy food showed negative associations with child snack and SSB intake as well as with child active transport and screen time. Positive parental modelling on dietary, PA and sedentary behaviour (cluster 4) showed positive associations with child fruit intake, child active transport and child outdoor playing, and negative associations with child snack and SSB intake and with child screen time. Positive parental modelling on sports and fruit was positively associated with child fruit intake and sports, as well as with child outdoor playing, and negatively with child SSB intake. Associations between clusters of diet and activity-related parenting practices and child dietary and activity behaviours (partial correlation coefficients), n=10131 SSB: sugar-sweetened beverage. 1Adjusted for child characteristics (gender, age, ethnicity and BMI z-score at baseline) and parental characteristics (parental education level, parental BMI at baseline and parenting style dimensions). Child dietary and activity behaviours were assessed in 2009 (=second assessment).
Conclusions
The current study shows that parenting practices cluster on the type of home environment (i.e. physical, political and socio-cultural) while cutting across the dietary and activity domain. Several parental characteristics were related to the separate clusters, of which parental education level could be seen as an indicator of a broader parental context in which the clusters of parenting practices operate. A low parental education level was associated with the only unhealthy cluster, while a high(er) education level was associated with healthy clusters. Separate clusters were related to both child dietary behaviour and child activity behaviour in the hypothesised directions, indicating the relevance of the clusters in influencing child behaviour. Interventions that focus on clusters of parenting practices to assist parents, especially low-educated parents, in changing their child’s dietary and activity behaviour seems justified, but more studies are needed to further elucidate how clusters arise and how they can be influenced.
[ "Background", "Study design, setting, participants and procedure", "Sample characteristics", "Measures", "Diet- and activity-related parenting practices", "Child dietary and activity behaviours", "Child and parental background characteristics", "Strategy for analyses", "Abbreviations", "Competing interests", "Authors’ contributions" ]
[ "Diets rich in fruit and vegetables and an active lifestyle are associated with important health protective effects, including protection against some types of cancer, cardiovascular diseases, type 2 diabetes and overweight [1,2]. There is considerable evidence that children consume less fruit and vegetables than is recommended [3-7] and that they do not meet physical activity (PA) recommendations [8]. Because diet- and activity-related habits established in childhood often track through to adulthood [9-11], these energy balance-related behaviours (EBRBs) should be improved at an early age. Improvement of these behaviours requires understanding of the factors determining children’s EBRBs.\nThe home environment is a critical context for the development of children’s eating and activity behaviours [12-14]. Parents play a key role in shaping the home environment. In review studies on parental correlates of child fruit and vegetable consumption, the most consistently supported positive determinants of child and adolescent intake are parental dietary intake, parental modelling, home availability and accessibility, family rules, parental encouragement and parental education [12,15-18]. In addition, parental fat intake is a consistent and positive correlate of child fat intake [15]. Important positive parental correlates for child and adolescent PA are parental support, parental encouragement, paternal PA, maternal education level and family income [12,19,20]. Conceptually, such parental correlates can be divided into parenting practices (i.e. content-specific acts of parenting [21], such as rules about dietary intake or activity behaviour) and more general or distal parental factors (e.g., parental education and family income). The latter can be conceptualised as potential background variables or higher-order moderators of the relationship between parenting practices and child behaviour [7]. The current study focuses on clustering of parenting practices in relation to more distal parental factors.\nThere is some evidence that parenting practices co-occur or ‘cluster’. Gubbels et al. [22] found evidence for clustering of diet-related restrictive parenting practices, namely a cluster characterised by prohibition of the intake of various snacks and soft drinks, and a separate cluster characterised by prohibition of cookies and cake. A study by Gattshall et al. [23] showed interdependencies between diet-related parenting practices for fruit and vegetables, and between PA-related parenting practices, i.e. availability, accessibility, parental role modelling and parental policies. However, they did not study interdependencies between diet- and activity-related parenting practices. To our knowledge, no studies have used a clustering approach to examine both diet- and activity-related parenting practices, while studies on this topic are needed to elucidate whether parenting practices cluster across the dietary and activity domain (e.g. parental rule setting regarding snacks and screen time). Clustering across domains could point to a broader parental context in which the clusters of parenting practices operate, e.g. a parental context of health beliefs. The potential synergy between parenting practices that occur in clusters could result in more efficient interventions aimed at improving diet-and activity-related parenting practices, by applying an integrated approach that addresses multiple parenting practices simultaneously [24].\nTo elucidate how clusters of parenting practices may arise, it is important to examine factors related to the potential clusters of parenting practices. These factors can be both child- and parent-related. In previous studies, child gender [25,26], weight [26-30], food neophobia [31] and eating style (hungry or picky) [26], as well as parental body mass index (BMI), eduation level, parenting style, employment, ethnicity and parental age [22,26,27,31-37] were related to diet-related parenting practices, while child gender and activity style (active or not) [26], parental education level and working hours per week were related to activity-related parenting practices [26]. To test the magnitude of their relevance, it is also important to relate potential clusters of parenting practices to child dietary and activity behaviours. We chose to relate them to obesity-reducing, i.e. child fruit intake, child active commuting to school, child outdoor playing and child sports participation, as well as obesity-inducing behaviours, i.e. child snack and sugar-sweetenend beverage (SSB) intake, and child screen time [38].\nThe aim of this study was to examine clustering of parenting practices across the dietary and activity domain in parents of children aged 8–11 years. Children and their parents were recruited from rural and urban general primary schools in southern Netherlands. Apart from clustering of parenting practices, we examined whether these potential clusters are associated with child- and parent-related factors, and with child dietary and activity behaviours. Based on earlier studies we included child gender, age, ethnicity and weight, and parental BMI, education level and parenting style as factors that could potentially be associated with the clusters. We hypothesised that the parenting practices would cluster within and across the dietary and activity domain, and that healthy clusters would positively relate to obesity-reducing behaviours and negatively to obesity-inducing behaviours.", "Data for this study were retrieved from the IVO Nutrition and Physical Activity Child cohorT (INPACT), for which approval was obtained from the Ethical Committee of the Erasmus MC (University Medical Center Rotterdam). INPACT is an observational study (initiated in 2008) focusing on modifiable determinants of overweight in the home environment of children aged 8–12 years in the Netherlands. INPACT was conducted among primary school children in southern Netherlands (Eindhoven area). In recruiting the schools in 2008, we collaborated with the Municipal Health Authority for Eindhoven and surrounding area (GGD Brabant-Zuidoost). The Municipal Health Authority invited all general primary schools in their service area to participate in the INPACT study. Of the 265 schools invited, 91 took part; the response rate from rural and urban schools was equal. The primary caregivers of third-grade students (aged ± 8 years) were invited to participate in the cohort study, together with their child. Of the 2948 parent–child dyads invited, 1839 (62.4%) gave written informed consent to participate in the INPACT study for four years. The study included four assessments, each separated by a one-year time interval, and started in the autumn of 2008 (baseline). In the assessments, primary caregivers completed a questionnaire at home, children completed a questionnaire at school, and qualified research assistants measured the children’s height and weight at school.\nThe present study was based on data from 2008 (baseline) and 2009 (second assessment). Parents reported on child and parental background characteristics (2008), on their energy balance-related parenting practices (partly in 2008 and partly in 2009) and on their children’s energy balance-related behaviours (2009). In addition, child BMI z-scores from 2008 were used, which were based on measured height and weight. Parent–child dyads with complete data from baseline to 2009 were included in the present study, resulting in 1480 parent–child dyads (80% of the original cohort). Logistic regression analyses on selective dropout from baseline to 2009 showed that parent–child dyads who were not native Dutch dropped out more often. There was no selective dropout regarding child age/gender and parental education level.", "At baseline (n=1839), 7% of the children were underweight, 79% had a normal weight and 14% were overweight, of which 3% were obese. The prevalence of overweight and obesity was similar to Dutch prevalence rates among primary school children [39]. The age of the children was 8 (77%) or 9 (20%) years (range 7–10 years, mean=8.2 years, SD=0.5). Boys (50.5%) and girls (49.5%) were represented in almost equal numbers. Of all children, 17% were from a non-Dutch ethnic background with one or both parents born abroad, of which 9% from non-western countries and 8% from western countries. Primary caregivers were predominantly female (92%). Of all primary caregivers, 21% had finished education at a low level, 45% at a medium level, 32% at a high level, and 2% at a non-specified level. Of the primary caregivers, 1% was underweight, 66% had a normal weight and 33% were overweight, of which 9% were obese.", " Diet- and activity-related parenting practices Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour.\nDescriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009)\nPA: physical activity SSB: sugar-sweetened beverage.\naSeparate questions for sweet snacks and for savoury snacks.\nbSeparate questions for ‘how much’ and for ‘when’.\nc% ‘yes’ on both questions.\nd% ‘yes’ on one of the two questions.\neParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section).\nThe HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1).\nFor all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed.\nDiet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour.\nDescriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009)\nPA: physical activity SSB: sugar-sweetened beverage.\naSeparate questions for sweet snacks and for savoury snacks.\nbSeparate questions for ‘how much’ and for ‘when’.\nc% ‘yes’ on both questions.\nd% ‘yes’ on one of the two questions.\neParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section).\nThe HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1).\nFor all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed.\n Child dietary and activity behaviours Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking).\nChildren’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12).\nChild fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking).\nChildren’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12).\n Child and parental background characteristics Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers.\nParenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used).\nIn addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58].\nData on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers.\nParenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used).\nIn addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58].", "Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour.\nDescriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009)\nPA: physical activity SSB: sugar-sweetened beverage.\naSeparate questions for sweet snacks and for savoury snacks.\nbSeparate questions for ‘how much’ and for ‘when’.\nc% ‘yes’ on both questions.\nd% ‘yes’ on one of the two questions.\neParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section).\nThe HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1).\nFor all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed.", "Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking).\nChildren’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12).", "Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers.\nParenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used).\nIn addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58].", "All analyses were performed using IBM SPSS Statistics version 19.0. Cases with missing values were excluded per analysis. To describe the study population, we computed medians, interquartile ranges and percentages for socio-demographic variables and child dietary and activity behaviours.\nPrincipal component analysis (PCA) with oblique rotation was performed to examine clustering of diet-related and activity-related parenting practises. Oblique rotation was chosen because of the expected association between the extracted components [59]. A scree plot was used to determine the number of components. Items with absolute component loadings larger than 0.4 were considered part of the component, in line with previous research [59]. Cluster scores were computed for each child as each parenting practice measure multiplied by their corresponding component loading [60]. The parenting practice cluster scores were then used as separate dependent variables in backward linear regression analyses, to examine the relationship with parental characteristics (parental education level, parental BMI at baseline and parenting style dimensions) and child characteristics (gender, age, ethnicity and BMI z-score at baseline). Partial correlation was used to assess the associations between cluster scores and child dietary and activity behaviours. These analyses were corrected for the child and parent background characteristics mentioned above.", "BMI: Body mass index; EBRB: Energy balance-related behaviour; FFQ: Food frequency questionnaire; HES: Home environment survey; INPACT IVO: Nutrition and physical activity child cohort; PA: Physical activity; SSB: Sugar-sweetened beverage", "The authors declare that they have no competing interests.", "GR, AO, SPJK and DvdM designed the study. GR conducted the INPACT study and performed the statistical analyses. GR, AO, SPJK and DvdM wrote the manuscript. All authors read and approved the final manuscript." ]
[ null, null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Study design, setting, participants and procedure", "Sample characteristics", "Measures", "Diet- and activity-related parenting practices", "Child dietary and activity behaviours", "Child and parental background characteristics", "Strategy for analyses", "Results", "Discussion", "Conclusions", "Abbreviations", "Competing interests", "Authors’ contributions" ]
[ "Diets rich in fruit and vegetables and an active lifestyle are associated with important health protective effects, including protection against some types of cancer, cardiovascular diseases, type 2 diabetes and overweight [1,2]. There is considerable evidence that children consume less fruit and vegetables than is recommended [3-7] and that they do not meet physical activity (PA) recommendations [8]. Because diet- and activity-related habits established in childhood often track through to adulthood [9-11], these energy balance-related behaviours (EBRBs) should be improved at an early age. Improvement of these behaviours requires understanding of the factors determining children’s EBRBs.\nThe home environment is a critical context for the development of children’s eating and activity behaviours [12-14]. Parents play a key role in shaping the home environment. In review studies on parental correlates of child fruit and vegetable consumption, the most consistently supported positive determinants of child and adolescent intake are parental dietary intake, parental modelling, home availability and accessibility, family rules, parental encouragement and parental education [12,15-18]. In addition, parental fat intake is a consistent and positive correlate of child fat intake [15]. Important positive parental correlates for child and adolescent PA are parental support, parental encouragement, paternal PA, maternal education level and family income [12,19,20]. Conceptually, such parental correlates can be divided into parenting practices (i.e. content-specific acts of parenting [21], such as rules about dietary intake or activity behaviour) and more general or distal parental factors (e.g., parental education and family income). The latter can be conceptualised as potential background variables or higher-order moderators of the relationship between parenting practices and child behaviour [7]. The current study focuses on clustering of parenting practices in relation to more distal parental factors.\nThere is some evidence that parenting practices co-occur or ‘cluster’. Gubbels et al. [22] found evidence for clustering of diet-related restrictive parenting practices, namely a cluster characterised by prohibition of the intake of various snacks and soft drinks, and a separate cluster characterised by prohibition of cookies and cake. A study by Gattshall et al. [23] showed interdependencies between diet-related parenting practices for fruit and vegetables, and between PA-related parenting practices, i.e. availability, accessibility, parental role modelling and parental policies. However, they did not study interdependencies between diet- and activity-related parenting practices. To our knowledge, no studies have used a clustering approach to examine both diet- and activity-related parenting practices, while studies on this topic are needed to elucidate whether parenting practices cluster across the dietary and activity domain (e.g. parental rule setting regarding snacks and screen time). Clustering across domains could point to a broader parental context in which the clusters of parenting practices operate, e.g. a parental context of health beliefs. The potential synergy between parenting practices that occur in clusters could result in more efficient interventions aimed at improving diet-and activity-related parenting practices, by applying an integrated approach that addresses multiple parenting practices simultaneously [24].\nTo elucidate how clusters of parenting practices may arise, it is important to examine factors related to the potential clusters of parenting practices. These factors can be both child- and parent-related. In previous studies, child gender [25,26], weight [26-30], food neophobia [31] and eating style (hungry or picky) [26], as well as parental body mass index (BMI), eduation level, parenting style, employment, ethnicity and parental age [22,26,27,31-37] were related to diet-related parenting practices, while child gender and activity style (active or not) [26], parental education level and working hours per week were related to activity-related parenting practices [26]. To test the magnitude of their relevance, it is also important to relate potential clusters of parenting practices to child dietary and activity behaviours. We chose to relate them to obesity-reducing, i.e. child fruit intake, child active commuting to school, child outdoor playing and child sports participation, as well as obesity-inducing behaviours, i.e. child snack and sugar-sweetenend beverage (SSB) intake, and child screen time [38].\nThe aim of this study was to examine clustering of parenting practices across the dietary and activity domain in parents of children aged 8–11 years. Children and their parents were recruited from rural and urban general primary schools in southern Netherlands. Apart from clustering of parenting practices, we examined whether these potential clusters are associated with child- and parent-related factors, and with child dietary and activity behaviours. Based on earlier studies we included child gender, age, ethnicity and weight, and parental BMI, education level and parenting style as factors that could potentially be associated with the clusters. We hypothesised that the parenting practices would cluster within and across the dietary and activity domain, and that healthy clusters would positively relate to obesity-reducing behaviours and negatively to obesity-inducing behaviours.", " Study design, setting, participants and procedure Data for this study were retrieved from the IVO Nutrition and Physical Activity Child cohorT (INPACT), for which approval was obtained from the Ethical Committee of the Erasmus MC (University Medical Center Rotterdam). INPACT is an observational study (initiated in 2008) focusing on modifiable determinants of overweight in the home environment of children aged 8–12 years in the Netherlands. INPACT was conducted among primary school children in southern Netherlands (Eindhoven area). In recruiting the schools in 2008, we collaborated with the Municipal Health Authority for Eindhoven and surrounding area (GGD Brabant-Zuidoost). The Municipal Health Authority invited all general primary schools in their service area to participate in the INPACT study. Of the 265 schools invited, 91 took part; the response rate from rural and urban schools was equal. The primary caregivers of third-grade students (aged ± 8 years) were invited to participate in the cohort study, together with their child. Of the 2948 parent–child dyads invited, 1839 (62.4%) gave written informed consent to participate in the INPACT study for four years. The study included four assessments, each separated by a one-year time interval, and started in the autumn of 2008 (baseline). In the assessments, primary caregivers completed a questionnaire at home, children completed a questionnaire at school, and qualified research assistants measured the children’s height and weight at school.\nThe present study was based on data from 2008 (baseline) and 2009 (second assessment). Parents reported on child and parental background characteristics (2008), on their energy balance-related parenting practices (partly in 2008 and partly in 2009) and on their children’s energy balance-related behaviours (2009). In addition, child BMI z-scores from 2008 were used, which were based on measured height and weight. Parent–child dyads with complete data from baseline to 2009 were included in the present study, resulting in 1480 parent–child dyads (80% of the original cohort). Logistic regression analyses on selective dropout from baseline to 2009 showed that parent–child dyads who were not native Dutch dropped out more often. There was no selective dropout regarding child age/gender and parental education level.\nData for this study were retrieved from the IVO Nutrition and Physical Activity Child cohorT (INPACT), for which approval was obtained from the Ethical Committee of the Erasmus MC (University Medical Center Rotterdam). INPACT is an observational study (initiated in 2008) focusing on modifiable determinants of overweight in the home environment of children aged 8–12 years in the Netherlands. INPACT was conducted among primary school children in southern Netherlands (Eindhoven area). In recruiting the schools in 2008, we collaborated with the Municipal Health Authority for Eindhoven and surrounding area (GGD Brabant-Zuidoost). The Municipal Health Authority invited all general primary schools in their service area to participate in the INPACT study. Of the 265 schools invited, 91 took part; the response rate from rural and urban schools was equal. The primary caregivers of third-grade students (aged ± 8 years) were invited to participate in the cohort study, together with their child. Of the 2948 parent–child dyads invited, 1839 (62.4%) gave written informed consent to participate in the INPACT study for four years. The study included four assessments, each separated by a one-year time interval, and started in the autumn of 2008 (baseline). In the assessments, primary caregivers completed a questionnaire at home, children completed a questionnaire at school, and qualified research assistants measured the children’s height and weight at school.\nThe present study was based on data from 2008 (baseline) and 2009 (second assessment). Parents reported on child and parental background characteristics (2008), on their energy balance-related parenting practices (partly in 2008 and partly in 2009) and on their children’s energy balance-related behaviours (2009). In addition, child BMI z-scores from 2008 were used, which were based on measured height and weight. Parent–child dyads with complete data from baseline to 2009 were included in the present study, resulting in 1480 parent–child dyads (80% of the original cohort). Logistic regression analyses on selective dropout from baseline to 2009 showed that parent–child dyads who were not native Dutch dropped out more often. There was no selective dropout regarding child age/gender and parental education level.\n Sample characteristics At baseline (n=1839), 7% of the children were underweight, 79% had a normal weight and 14% were overweight, of which 3% were obese. The prevalence of overweight and obesity was similar to Dutch prevalence rates among primary school children [39]. The age of the children was 8 (77%) or 9 (20%) years (range 7–10 years, mean=8.2 years, SD=0.5). Boys (50.5%) and girls (49.5%) were represented in almost equal numbers. Of all children, 17% were from a non-Dutch ethnic background with one or both parents born abroad, of which 9% from non-western countries and 8% from western countries. Primary caregivers were predominantly female (92%). Of all primary caregivers, 21% had finished education at a low level, 45% at a medium level, 32% at a high level, and 2% at a non-specified level. Of the primary caregivers, 1% was underweight, 66% had a normal weight and 33% were overweight, of which 9% were obese.\nAt baseline (n=1839), 7% of the children were underweight, 79% had a normal weight and 14% were overweight, of which 3% were obese. The prevalence of overweight and obesity was similar to Dutch prevalence rates among primary school children [39]. The age of the children was 8 (77%) or 9 (20%) years (range 7–10 years, mean=8.2 years, SD=0.5). Boys (50.5%) and girls (49.5%) were represented in almost equal numbers. Of all children, 17% were from a non-Dutch ethnic background with one or both parents born abroad, of which 9% from non-western countries and 8% from western countries. Primary caregivers were predominantly female (92%). Of all primary caregivers, 21% had finished education at a low level, 45% at a medium level, 32% at a high level, and 2% at a non-specified level. Of the primary caregivers, 1% was underweight, 66% had a normal weight and 33% were overweight, of which 9% were obese.\n Measures Diet- and activity-related parenting practices Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour.\nDescriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009)\nPA: physical activity SSB: sugar-sweetened beverage.\naSeparate questions for sweet snacks and for savoury snacks.\nbSeparate questions for ‘how much’ and for ‘when’.\nc% ‘yes’ on both questions.\nd% ‘yes’ on one of the two questions.\neParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section).\nThe HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1).\nFor all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed.\nDiet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour.\nDescriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009)\nPA: physical activity SSB: sugar-sweetened beverage.\naSeparate questions for sweet snacks and for savoury snacks.\nbSeparate questions for ‘how much’ and for ‘when’.\nc% ‘yes’ on both questions.\nd% ‘yes’ on one of the two questions.\neParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section).\nThe HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1).\nFor all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed.\n Child dietary and activity behaviours Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking).\nChildren’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12).\nChild fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking).\nChildren’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12).\n Child and parental background characteristics Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers.\nParenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used).\nIn addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58].\nData on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers.\nParenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used).\nIn addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58].\n Diet- and activity-related parenting practices Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour.\nDescriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009)\nPA: physical activity SSB: sugar-sweetened beverage.\naSeparate questions for sweet snacks and for savoury snacks.\nbSeparate questions for ‘how much’ and for ‘when’.\nc% ‘yes’ on both questions.\nd% ‘yes’ on one of the two questions.\neParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section).\nThe HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1).\nFor all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed.\nDiet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour.\nDescriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009)\nPA: physical activity SSB: sugar-sweetened beverage.\naSeparate questions for sweet snacks and for savoury snacks.\nbSeparate questions for ‘how much’ and for ‘when’.\nc% ‘yes’ on both questions.\nd% ‘yes’ on one of the two questions.\neParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section).\nThe HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1).\nFor all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed.\n Child dietary and activity behaviours Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking).\nChildren’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12).\nChild fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking).\nChildren’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12).\n Child and parental background characteristics Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers.\nParenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used).\nIn addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58].\nData on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers.\nParenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used).\nIn addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58].\n Strategy for analyses All analyses were performed using IBM SPSS Statistics version 19.0. Cases with missing values were excluded per analysis. To describe the study population, we computed medians, interquartile ranges and percentages for socio-demographic variables and child dietary and activity behaviours.\nPrincipal component analysis (PCA) with oblique rotation was performed to examine clustering of diet-related and activity-related parenting practises. Oblique rotation was chosen because of the expected association between the extracted components [59]. A scree plot was used to determine the number of components. Items with absolute component loadings larger than 0.4 were considered part of the component, in line with previous research [59]. Cluster scores were computed for each child as each parenting practice measure multiplied by their corresponding component loading [60]. The parenting practice cluster scores were then used as separate dependent variables in backward linear regression analyses, to examine the relationship with parental characteristics (parental education level, parental BMI at baseline and parenting style dimensions) and child characteristics (gender, age, ethnicity and BMI z-score at baseline). Partial correlation was used to assess the associations between cluster scores and child dietary and activity behaviours. These analyses were corrected for the child and parent background characteristics mentioned above.\nAll analyses were performed using IBM SPSS Statistics version 19.0. Cases with missing values were excluded per analysis. To describe the study population, we computed medians, interquartile ranges and percentages for socio-demographic variables and child dietary and activity behaviours.\nPrincipal component analysis (PCA) with oblique rotation was performed to examine clustering of diet-related and activity-related parenting practises. Oblique rotation was chosen because of the expected association between the extracted components [59]. A scree plot was used to determine the number of components. Items with absolute component loadings larger than 0.4 were considered part of the component, in line with previous research [59]. Cluster scores were computed for each child as each parenting practice measure multiplied by their corresponding component loading [60]. The parenting practice cluster scores were then used as separate dependent variables in backward linear regression analyses, to examine the relationship with parental characteristics (parental education level, parental BMI at baseline and parenting style dimensions) and child characteristics (gender, age, ethnicity and BMI z-score at baseline). Partial correlation was used to assess the associations between cluster scores and child dietary and activity behaviours. These analyses were corrected for the child and parent background characteristics mentioned above.", "Data for this study were retrieved from the IVO Nutrition and Physical Activity Child cohorT (INPACT), for which approval was obtained from the Ethical Committee of the Erasmus MC (University Medical Center Rotterdam). INPACT is an observational study (initiated in 2008) focusing on modifiable determinants of overweight in the home environment of children aged 8–12 years in the Netherlands. INPACT was conducted among primary school children in southern Netherlands (Eindhoven area). In recruiting the schools in 2008, we collaborated with the Municipal Health Authority for Eindhoven and surrounding area (GGD Brabant-Zuidoost). The Municipal Health Authority invited all general primary schools in their service area to participate in the INPACT study. Of the 265 schools invited, 91 took part; the response rate from rural and urban schools was equal. The primary caregivers of third-grade students (aged ± 8 years) were invited to participate in the cohort study, together with their child. Of the 2948 parent–child dyads invited, 1839 (62.4%) gave written informed consent to participate in the INPACT study for four years. The study included four assessments, each separated by a one-year time interval, and started in the autumn of 2008 (baseline). In the assessments, primary caregivers completed a questionnaire at home, children completed a questionnaire at school, and qualified research assistants measured the children’s height and weight at school.\nThe present study was based on data from 2008 (baseline) and 2009 (second assessment). Parents reported on child and parental background characteristics (2008), on their energy balance-related parenting practices (partly in 2008 and partly in 2009) and on their children’s energy balance-related behaviours (2009). In addition, child BMI z-scores from 2008 were used, which were based on measured height and weight. Parent–child dyads with complete data from baseline to 2009 were included in the present study, resulting in 1480 parent–child dyads (80% of the original cohort). Logistic regression analyses on selective dropout from baseline to 2009 showed that parent–child dyads who were not native Dutch dropped out more often. There was no selective dropout regarding child age/gender and parental education level.", "At baseline (n=1839), 7% of the children were underweight, 79% had a normal weight and 14% were overweight, of which 3% were obese. The prevalence of overweight and obesity was similar to Dutch prevalence rates among primary school children [39]. The age of the children was 8 (77%) or 9 (20%) years (range 7–10 years, mean=8.2 years, SD=0.5). Boys (50.5%) and girls (49.5%) were represented in almost equal numbers. Of all children, 17% were from a non-Dutch ethnic background with one or both parents born abroad, of which 9% from non-western countries and 8% from western countries. Primary caregivers were predominantly female (92%). Of all primary caregivers, 21% had finished education at a low level, 45% at a medium level, 32% at a high level, and 2% at a non-specified level. Of the primary caregivers, 1% was underweight, 66% had a normal weight and 33% were overweight, of which 9% were obese.", " Diet- and activity-related parenting practices Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour.\nDescriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009)\nPA: physical activity SSB: sugar-sweetened beverage.\naSeparate questions for sweet snacks and for savoury snacks.\nbSeparate questions for ‘how much’ and for ‘when’.\nc% ‘yes’ on both questions.\nd% ‘yes’ on one of the two questions.\neParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section).\nThe HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1).\nFor all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed.\nDiet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour.\nDescriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009)\nPA: physical activity SSB: sugar-sweetened beverage.\naSeparate questions for sweet snacks and for savoury snacks.\nbSeparate questions for ‘how much’ and for ‘when’.\nc% ‘yes’ on both questions.\nd% ‘yes’ on one of the two questions.\neParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section).\nThe HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1).\nFor all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed.\n Child dietary and activity behaviours Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking).\nChildren’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12).\nChild fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking).\nChildren’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12).\n Child and parental background characteristics Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers.\nParenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used).\nIn addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58].\nData on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers.\nParenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used).\nIn addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58].", "Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour.\nDescriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009)\nPA: physical activity SSB: sugar-sweetened beverage.\naSeparate questions for sweet snacks and for savoury snacks.\nbSeparate questions for ‘how much’ and for ‘when’.\nc% ‘yes’ on both questions.\nd% ‘yes’ on one of the two questions.\neParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section).\nThe HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1).\nFor all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed.", "Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking).\nChildren’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12).", "Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers.\nParenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used).\nIn addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58].", "All analyses were performed using IBM SPSS Statistics version 19.0. Cases with missing values were excluded per analysis. To describe the study population, we computed medians, interquartile ranges and percentages for socio-demographic variables and child dietary and activity behaviours.\nPrincipal component analysis (PCA) with oblique rotation was performed to examine clustering of diet-related and activity-related parenting practises. Oblique rotation was chosen because of the expected association between the extracted components [59]. A scree plot was used to determine the number of components. Items with absolute component loadings larger than 0.4 were considered part of the component, in line with previous research [59]. Cluster scores were computed for each child as each parenting practice measure multiplied by their corresponding component loading [60]. The parenting practice cluster scores were then used as separate dependent variables in backward linear regression analyses, to examine the relationship with parental characteristics (parental education level, parental BMI at baseline and parenting style dimensions) and child characteristics (gender, age, ethnicity and BMI z-score at baseline). Partial correlation was used to assess the associations between cluster scores and child dietary and activity behaviours. These analyses were corrected for the child and parent background characteristics mentioned above.", "Children had an average weekly fruit consumption of 7.4 pieces (SD=4.2; range: 0–28), an average weekly snack intake of 9.7 pieces (SD=5.8; range: 0–35) and an average weekly SSB intake of 9.1 glasses (SD=8.3; range: 0–42). Only 15% of the children met the recommended Dutch norm of at least 14 pieces of fruit per week [61]. On average, children went to school on foot or by bicycle on 4.3 days per week (SD=1.3; range: 0–5), played outside on 6.6 days per week (SD=0.8, range: 0–7), participated in a sport at a sports club on 2.5 days per week (SD=1.3; range: 0–7), watched television on 6.7 days per week (SD=0.89, range: 0–7) and played on the computer on 4.7 days per week (SD=2.0; range 0–7). Of all children, 75% commuted to school in an active way all 5 days of the school week, 77% played outside all 7 days of the week, 86% watched television all 7 days of the week and 32% played on the computer all 7 days of the week.\nPCA revealed 5 parenting practice clusters (Table 2). The first cluster included a high visibility and accessibility of SSB and snacks, a high availability of screens in the child’s bedroom and a low score on parental healthy eating policies (‘high visibility and accessibility of screens and unhealthy food’ cluster). The second cluster included snack and SSB rules, screen-time rules and sports rules (‘diet- and activity-related rules’ cluster). The third cluster combined a low availability of snacks and SSBs with a low accessibility of snacks and SSBs (‘low availability of unhealthy food’ cluster). The fourth cluster included parental modelling of healthy eating, as well as low parental sedentary modelling, low parental snack intake and high accessibility of PA equipment (‘diet- and activity-related positive modelling’ cluster). The final cluster combined high parental sports days and high parental fruit intake with positive PA modelling (‘positive modelling on sports and fruit’ cluster). The five parenting practice clusters explained 32.0% of the variance in the original items. Cluster 1 and 2 were negatively correlated (r=-0.16), while cluster 2 and 4 (r=0.17) and 4 and 5 (r=0.12) were positively correlated. The remaining combinations of clusters were not related (r<0.10).\nComponent loadings of principal component analysis on diet- and activity-related parenting practices (n=1059, missings list wise)\nPA: physical activity SSB: sugar-sweetened beverage.\nData printed bold indicate absolute component loadings larger than 0.4 (= part of the component).\nVariance explained by component 1 = 10.6%; variance explained by component 2 = 6.4%; variance explained by component 3 = 5.7%; variance explained by component 4 = 5.0% and variance explained by component 5 = 4.3%.\nResults of the regression analyses with the cluster scores as dependent variables (Table 3) showed that parents of non-western and western immigrant children, parents with a higher BMI, lower education and parents who used higher levels of psychological control scored significantly higher on the ‘high visibility and accessibility of screens and unhealthy food’ cluster. The ‘diet- and activity-related rules’ cluster was positively associated with a high parental education and with higher levels of behavioural control. Parents of non-western and western immigrant children as well as high-educated parents scored significantly higher on the ‘low availability of unhealthy food’ cluster. The ‘diet- and activity-related positive modelling’ cluster was positively associated with child BMI z-scores, negatively with parental BMI and psychological control, and positively with behavioural control. Finally, middle and high-educated parents and parents who used higher levels of behavioural control scored significantly higher on sports- and fruit-related positive modelling (cluster 5).\n\nChild and parental characteristics related to cluster scores (standardized regression coefficients backward regression), n=981\n\n1\n\n\n1child characteristics: gender, age, ethnicity, BMI z-score; parental characteristics: parental education level, parental BMI; parenting style dimensions;\n* correlation is significant at the 0.05 level (2-tailed); ** correlation is significant at the 0.01 level (2-tailed); *** correlation is significant at the 0.001 level (2-tailed).\n2R2=0.14.\n3R2=0.03.\n4R2=0.09.\n5R2=0.07.\n6R2=0.04.\nAs shown in Table 4, partial correlations revealed that the cluster high in visibility and accessibility of screens and unhealthy food was negatively associated with child fruit intake, and positively with child snack intake, SSB intake and screen time. The diet- and activity-related rules cluster was positively associated with child fruit intake and child active transport, but negatively associated with child snack and SSB intake and child screen time. The cluster of low availability of unhealthy food showed negative associations with child snack and SSB intake as well as with child active transport and screen time. Positive parental modelling on dietary, PA and sedentary behaviour (cluster 4) showed positive associations with child fruit intake, child active transport and child outdoor playing, and negative associations with child snack and SSB intake and with child screen time. Positive parental modelling on sports and fruit was positively associated with child fruit intake and sports, as well as with child outdoor playing, and negatively with child SSB intake.\nAssociations between clusters of diet and activity-related parenting practices and child dietary and activity behaviours (partial correlation coefficients), n=10131\nSSB: sugar-sweetened beverage.\n1Adjusted for child characteristics (gender, age, ethnicity and BMI z-score at baseline) and parental characteristics (parental education level, parental BMI at baseline and parenting style dimensions). Child dietary and activity behaviours were assessed in 2009 (=second assessment).", "This study investigated the clustering of parenting practices across the dietary and activity domain. We also examined whether these clusters are associated with child- and parent-related factors, and with child dietary and activity behaviours. As hypothesised, we found evidence for clustering within the dietary domain (e.g. clustering of SSB- and snack-related parenting practices) and within the activity domain (e.g. clustering of screen time rules and sports rules), which is in line with the few studies that reported on interdependencies between diet-related parenting practices [22,23] and between activity-related parenting practices [23]. A new finding is that parenting practices cluster across domains: four out of five clusters included both diet- and activity-related parenting practices. In addition, parenting practices cluster on the type of home enviroment: two clusters represented the physical home environment (‘high visibility and accessibility of screens and unhealthy food’ and ‘low availability of unhealthy food’), one represented the policital home environment (the ‘diet- and activity-related rules’ cluster) and the two parental modelling clusters represented the socio-cultural home environment. These new findings are very relevant in terms of broadening the scientific knowledge base on the topic of parenting practices.\nIn the present study, parental modelling was assessed in two ways: using role modelling scales of the HES [23] and parent’s own behaviour. The diet- and activity-related positive modelling cluster (cluster 4) included two parental role modelling scales. They referred to parental healthy eating and sedentary behaviour that was directly observed by the child[23] (see example items in Table 1). This might imply the assessment of a more conscious way of parenting (a parenting practice) than when parental modelling is assessed by a parent’s own behaviour.\nThe diet- and activity-related positive modelling cluster (cluster 4) was more likely to be found in parents of heavier children who are lighter themselves, and express more behavioural control and less psychological control. This suggests that this might be a parental strategy in response to their child’s higher weight, particularly in normal weight parents. Similarly, diet- and activity-related positive modelling may be a stable parental strategy, reflecting normal weight parents’ own way of living [62], based on health beliefs. Finally, it may not be a parental strategy aimed at healthy dietary and activity behaviour in children, but rather a more unconscious way of parenting based on, for example, habits formed in early life. Similarly, the ‘diet- and activity-related rules’ cluster (cluster 2) might be a parental strategy based on health beliefs, but rule setting in the dietary and activity domain could also be part of a broader parental context of rule setting, based on, for example, parenting beliefs of strictness and involvement. This is supported by the finding that cluster 2 was positively related to behavioural control, which is an indicator of parental involvement.\nThere is evidence that parental education level indicates a broader parental context in which parenting practices operate [7,63]. A non-supportive parental context might be reflected in cluster 1, the unhealthy cluster of making screens and unhealthy food visible and accessible at home, which was more likely to be found in low-educated parents, but also in minority groups, parents with a higher BMI and parents who use more psychological control (all found to be associated with a higher child weight and/or unhealthy lifestyle (e.g., [15,56,64]). In contrast, healthy clusters are generally more likely to be found in high(er)-educated parents. These findings are consistent with the well-established relationship between socioeconomic position and health, stating that the socioeconomically better-off do better on most measures of health status [65]. Our findings also suggest that low-educated parents are an important target group for intervention development aimed at improving clustered parenting practices. However, because of the explorative nature of our study, the results cannot yet be translated into far reaching implications for public health. Before interventions can be developed, more studies are needed to elucidate how clusters of parenting practices arise (e.g. whether execution of parenting practices is a deliberate or a more unconscious process, whether parents adapt their practices or not and based on which indicators) and how they can be influenced, especially in low-educated parents. Apart from individual factors (e.g. a lack of knowledge and skills about parenting or a lack of health consciousness), exploring the social context of low-educated parents may elucidate why they have less-favourable parenting practices than high-educated parents. Ways in which the social context of low-educated parents can place constraints on their individual choices is by shaping social norms and by providing less opportunities to engage in healthy behaviours. This may influence their own health behaviour [66], but also their health-related parenting practices. For example, group norms may ensure that low-educated parents pursue other values than health values, and because of neighbourhood safety problems, they may not encourage their children to play outside. To better understand parenting practices in low-educated parents, future studies should explore the influence of the social context.\nTo indicate the magnitude of their relevance, we examined whether the five clusters were related to child dietary and activity behaviour. We found that the separate clusters were related to both child dietary behaviour and child activity behaviour and, overall, in the hypothesised direction: the ‘high visibility and accessibility of screens and unhealthy food’ cluster was positively related to obesity-inducing behaviour (i.c. child snack intake, SSB intake and screen time) and negatively to obesity-reducing behaviour (i.c. child fruit intake), while the remaining healthy clusters were negatively related to obesity-inducing behaviour and positively to obesity-reducing behaviour. The strongest associations were found in the positive modelling clusters. Diet- and activity-related positive modelling was found to have the strongest associations with child snack intake, SSB intake, active transporting to school, outdoor playing and screen time, while positive modelling on sports and fruit was strongest related to child fruit intake and child sports participation. This underlines the potential of a clustered approach of parental modelling in the dietary and activity domain as a parental strategy to (subtly) improve children’s dietary and activity behaviour. However, in low-educated parents this implies changing their own behaviour, which may be harder to accomplish than, for example, introducing parental rules in the dietary and activity domain. As the diet- and activity-related rules cluster was positively related to cluster 4, setting rules might eventually be an indirect way to change parental role modelling in a positive way.\nOur study has the strength of combining diet- and activity-related parenting practices, higher-order parental factors and child dietary and activity behaviours in one study, which is exceptional in this field of research[18]. In addition, our clustering approach, which is new in studies on parenting practices, seems to have potential as a starting point for interventions to assist parents in changing their child’s dietary and activity behaviour. Such interventions could be more efficient because of the synergic effect of a clustered approach. Nevertheless, some limitations should be mentioned. First, diet- and activity-related parenting practices were reported by the primary caregiver (mostly the mother), while research shows that, for example, for child PA paternal and not maternal role modelling is the main determinant [20]. Future studies should (ideally) include both parents to examine whether fathers and mothers have a differential influence on child dietary and activity behaviour. Second, there was low variability in responses for some parenting practices, e.g. fruit availability and accessibility, which might explain why these parenting practices are not part of a cluster. However, this could also be explained by analytical choices, namely choosing a cut-off point for component loadings of 0.4. Although this is in line with recommendations [67], cut-off points in previous studies ranged from 0.2 to 0.6 [68]. If, for example, a cut-off point of 0.3 had been used in our study, fruit availability, fruit accessibility as well as fruit rules would have been included in the positive modelling on sports and fruit cluster. Third, Cronbach’s alpha values of some of our parenting practices scales were relatively low. Although a Cronbach’s alpha ≥.6 is generally considered acceptable [69], some authors advocate different cut-off points. Finally, child dietary and activity behaviours were proxy reports of primary caregivers, which may evoke social desirability bias and lead to overestimation of obesity-reducing behaviours and underestemiantion of obesity-inducing behaviours [70-72]. In addition, child activity behaviours were reported in days per week which may not accurately reflect behaviour duration or energy expenditure, especially for outdoor playing and screen time.", "The current study shows that parenting practices cluster on the type of home environment (i.e. physical, political and socio-cultural) while cutting across the dietary and activity domain. Several parental characteristics were related to the separate clusters, of which parental education level could be seen as an indicator of a broader parental context in which the clusters of parenting practices operate. A low parental education level was associated with the only unhealthy cluster, while a high(er) education level was associated with healthy clusters. Separate clusters were related to both child dietary behaviour and child activity behaviour in the hypothesised directions, indicating the relevance of the clusters in influencing child behaviour. Interventions that focus on clusters of parenting practices to assist parents, especially low-educated parents, in changing their child’s dietary and activity behaviour seems justified, but more studies are needed to further elucidate how clusters arise and how they can be influenced.", "BMI: Body mass index; EBRB: Energy balance-related behaviour; FFQ: Food frequency questionnaire; HES: Home environment survey; INPACT IVO: Nutrition and physical activity child cohort; PA: Physical activity; SSB: Sugar-sweetened beverage", "The authors declare that they have no competing interests.", "GR, AO, SPJK and DvdM designed the study. GR conducted the INPACT study and performed the statistical analyses. GR, AO, SPJK and DvdM wrote the manuscript. All authors read and approved the final manuscript." ]
[ null, "methods", null, null, null, null, null, null, null, "results", "discussion", "conclusions", null, null, null ]
[ "Parenting practices", "Clustering", "Children", "Dietary behaviour", "Activity behaviour" ]
Background: Diets rich in fruit and vegetables and an active lifestyle are associated with important health protective effects, including protection against some types of cancer, cardiovascular diseases, type 2 diabetes and overweight [1,2]. There is considerable evidence that children consume less fruit and vegetables than is recommended [3-7] and that they do not meet physical activity (PA) recommendations [8]. Because diet- and activity-related habits established in childhood often track through to adulthood [9-11], these energy balance-related behaviours (EBRBs) should be improved at an early age. Improvement of these behaviours requires understanding of the factors determining children’s EBRBs. The home environment is a critical context for the development of children’s eating and activity behaviours [12-14]. Parents play a key role in shaping the home environment. In review studies on parental correlates of child fruit and vegetable consumption, the most consistently supported positive determinants of child and adolescent intake are parental dietary intake, parental modelling, home availability and accessibility, family rules, parental encouragement and parental education [12,15-18]. In addition, parental fat intake is a consistent and positive correlate of child fat intake [15]. Important positive parental correlates for child and adolescent PA are parental support, parental encouragement, paternal PA, maternal education level and family income [12,19,20]. Conceptually, such parental correlates can be divided into parenting practices (i.e. content-specific acts of parenting [21], such as rules about dietary intake or activity behaviour) and more general or distal parental factors (e.g., parental education and family income). The latter can be conceptualised as potential background variables or higher-order moderators of the relationship between parenting practices and child behaviour [7]. The current study focuses on clustering of parenting practices in relation to more distal parental factors. There is some evidence that parenting practices co-occur or ‘cluster’. Gubbels et al. [22] found evidence for clustering of diet-related restrictive parenting practices, namely a cluster characterised by prohibition of the intake of various snacks and soft drinks, and a separate cluster characterised by prohibition of cookies and cake. A study by Gattshall et al. [23] showed interdependencies between diet-related parenting practices for fruit and vegetables, and between PA-related parenting practices, i.e. availability, accessibility, parental role modelling and parental policies. However, they did not study interdependencies between diet- and activity-related parenting practices. To our knowledge, no studies have used a clustering approach to examine both diet- and activity-related parenting practices, while studies on this topic are needed to elucidate whether parenting practices cluster across the dietary and activity domain (e.g. parental rule setting regarding snacks and screen time). Clustering across domains could point to a broader parental context in which the clusters of parenting practices operate, e.g. a parental context of health beliefs. The potential synergy between parenting practices that occur in clusters could result in more efficient interventions aimed at improving diet-and activity-related parenting practices, by applying an integrated approach that addresses multiple parenting practices simultaneously [24]. To elucidate how clusters of parenting practices may arise, it is important to examine factors related to the potential clusters of parenting practices. These factors can be both child- and parent-related. In previous studies, child gender [25,26], weight [26-30], food neophobia [31] and eating style (hungry or picky) [26], as well as parental body mass index (BMI), eduation level, parenting style, employment, ethnicity and parental age [22,26,27,31-37] were related to diet-related parenting practices, while child gender and activity style (active or not) [26], parental education level and working hours per week were related to activity-related parenting practices [26]. To test the magnitude of their relevance, it is also important to relate potential clusters of parenting practices to child dietary and activity behaviours. We chose to relate them to obesity-reducing, i.e. child fruit intake, child active commuting to school, child outdoor playing and child sports participation, as well as obesity-inducing behaviours, i.e. child snack and sugar-sweetenend beverage (SSB) intake, and child screen time [38]. The aim of this study was to examine clustering of parenting practices across the dietary and activity domain in parents of children aged 8–11 years. Children and their parents were recruited from rural and urban general primary schools in southern Netherlands. Apart from clustering of parenting practices, we examined whether these potential clusters are associated with child- and parent-related factors, and with child dietary and activity behaviours. Based on earlier studies we included child gender, age, ethnicity and weight, and parental BMI, education level and parenting style as factors that could potentially be associated with the clusters. We hypothesised that the parenting practices would cluster within and across the dietary and activity domain, and that healthy clusters would positively relate to obesity-reducing behaviours and negatively to obesity-inducing behaviours. Methods: Study design, setting, participants and procedure Data for this study were retrieved from the IVO Nutrition and Physical Activity Child cohorT (INPACT), for which approval was obtained from the Ethical Committee of the Erasmus MC (University Medical Center Rotterdam). INPACT is an observational study (initiated in 2008) focusing on modifiable determinants of overweight in the home environment of children aged 8–12 years in the Netherlands. INPACT was conducted among primary school children in southern Netherlands (Eindhoven area). In recruiting the schools in 2008, we collaborated with the Municipal Health Authority for Eindhoven and surrounding area (GGD Brabant-Zuidoost). The Municipal Health Authority invited all general primary schools in their service area to participate in the INPACT study. Of the 265 schools invited, 91 took part; the response rate from rural and urban schools was equal. The primary caregivers of third-grade students (aged ± 8 years) were invited to participate in the cohort study, together with their child. Of the 2948 parent–child dyads invited, 1839 (62.4%) gave written informed consent to participate in the INPACT study for four years. The study included four assessments, each separated by a one-year time interval, and started in the autumn of 2008 (baseline). In the assessments, primary caregivers completed a questionnaire at home, children completed a questionnaire at school, and qualified research assistants measured the children’s height and weight at school. The present study was based on data from 2008 (baseline) and 2009 (second assessment). Parents reported on child and parental background characteristics (2008), on their energy balance-related parenting practices (partly in 2008 and partly in 2009) and on their children’s energy balance-related behaviours (2009). In addition, child BMI z-scores from 2008 were used, which were based on measured height and weight. Parent–child dyads with complete data from baseline to 2009 were included in the present study, resulting in 1480 parent–child dyads (80% of the original cohort). Logistic regression analyses on selective dropout from baseline to 2009 showed that parent–child dyads who were not native Dutch dropped out more often. There was no selective dropout regarding child age/gender and parental education level. Data for this study were retrieved from the IVO Nutrition and Physical Activity Child cohorT (INPACT), for which approval was obtained from the Ethical Committee of the Erasmus MC (University Medical Center Rotterdam). INPACT is an observational study (initiated in 2008) focusing on modifiable determinants of overweight in the home environment of children aged 8–12 years in the Netherlands. INPACT was conducted among primary school children in southern Netherlands (Eindhoven area). In recruiting the schools in 2008, we collaborated with the Municipal Health Authority for Eindhoven and surrounding area (GGD Brabant-Zuidoost). The Municipal Health Authority invited all general primary schools in their service area to participate in the INPACT study. Of the 265 schools invited, 91 took part; the response rate from rural and urban schools was equal. The primary caregivers of third-grade students (aged ± 8 years) were invited to participate in the cohort study, together with their child. Of the 2948 parent–child dyads invited, 1839 (62.4%) gave written informed consent to participate in the INPACT study for four years. The study included four assessments, each separated by a one-year time interval, and started in the autumn of 2008 (baseline). In the assessments, primary caregivers completed a questionnaire at home, children completed a questionnaire at school, and qualified research assistants measured the children’s height and weight at school. The present study was based on data from 2008 (baseline) and 2009 (second assessment). Parents reported on child and parental background characteristics (2008), on their energy balance-related parenting practices (partly in 2008 and partly in 2009) and on their children’s energy balance-related behaviours (2009). In addition, child BMI z-scores from 2008 were used, which were based on measured height and weight. Parent–child dyads with complete data from baseline to 2009 were included in the present study, resulting in 1480 parent–child dyads (80% of the original cohort). Logistic regression analyses on selective dropout from baseline to 2009 showed that parent–child dyads who were not native Dutch dropped out more often. There was no selective dropout regarding child age/gender and parental education level. Sample characteristics At baseline (n=1839), 7% of the children were underweight, 79% had a normal weight and 14% were overweight, of which 3% were obese. The prevalence of overweight and obesity was similar to Dutch prevalence rates among primary school children [39]. The age of the children was 8 (77%) or 9 (20%) years (range 7–10 years, mean=8.2 years, SD=0.5). Boys (50.5%) and girls (49.5%) were represented in almost equal numbers. Of all children, 17% were from a non-Dutch ethnic background with one or both parents born abroad, of which 9% from non-western countries and 8% from western countries. Primary caregivers were predominantly female (92%). Of all primary caregivers, 21% had finished education at a low level, 45% at a medium level, 32% at a high level, and 2% at a non-specified level. Of the primary caregivers, 1% was underweight, 66% had a normal weight and 33% were overweight, of which 9% were obese. At baseline (n=1839), 7% of the children were underweight, 79% had a normal weight and 14% were overweight, of which 3% were obese. The prevalence of overweight and obesity was similar to Dutch prevalence rates among primary school children [39]. The age of the children was 8 (77%) or 9 (20%) years (range 7–10 years, mean=8.2 years, SD=0.5). Boys (50.5%) and girls (49.5%) were represented in almost equal numbers. Of all children, 17% were from a non-Dutch ethnic background with one or both parents born abroad, of which 9% from non-western countries and 8% from western countries. Primary caregivers were predominantly female (92%). Of all primary caregivers, 21% had finished education at a low level, 45% at a medium level, 32% at a high level, and 2% at a non-specified level. Of the primary caregivers, 1% was underweight, 66% had a normal weight and 33% were overweight, of which 9% were obese. Measures Diet- and activity-related parenting practices Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour. Descriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009) PA: physical activity SSB: sugar-sweetened beverage. aSeparate questions for sweet snacks and for savoury snacks. bSeparate questions for ‘how much’ and for ‘when’. c% ‘yes’ on both questions. d% ‘yes’ on one of the two questions. eParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section). The HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1). For all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed. Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour. Descriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009) PA: physical activity SSB: sugar-sweetened beverage. aSeparate questions for sweet snacks and for savoury snacks. bSeparate questions for ‘how much’ and for ‘when’. c% ‘yes’ on both questions. d% ‘yes’ on one of the two questions. eParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section). The HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1). For all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed. Child dietary and activity behaviours Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking). Children’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12). Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking). Children’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12). Child and parental background characteristics Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers. Parenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used). In addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58]. Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers. Parenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used). In addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58]. Diet- and activity-related parenting practices Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour. Descriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009) PA: physical activity SSB: sugar-sweetened beverage. aSeparate questions for sweet snacks and for savoury snacks. bSeparate questions for ‘how much’ and for ‘when’. c% ‘yes’ on both questions. d% ‘yes’ on one of the two questions. eParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section). The HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1). For all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed. Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour. Descriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009) PA: physical activity SSB: sugar-sweetened beverage. aSeparate questions for sweet snacks and for savoury snacks. bSeparate questions for ‘how much’ and for ‘when’. c% ‘yes’ on both questions. d% ‘yes’ on one of the two questions. eParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section). The HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1). For all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed. Child dietary and activity behaviours Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking). Children’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12). Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking). Children’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12). Child and parental background characteristics Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers. Parenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used). In addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58]. Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers. Parenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used). In addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58]. Strategy for analyses All analyses were performed using IBM SPSS Statistics version 19.0. Cases with missing values were excluded per analysis. To describe the study population, we computed medians, interquartile ranges and percentages for socio-demographic variables and child dietary and activity behaviours. Principal component analysis (PCA) with oblique rotation was performed to examine clustering of diet-related and activity-related parenting practises. Oblique rotation was chosen because of the expected association between the extracted components [59]. A scree plot was used to determine the number of components. Items with absolute component loadings larger than 0.4 were considered part of the component, in line with previous research [59]. Cluster scores were computed for each child as each parenting practice measure multiplied by their corresponding component loading [60]. The parenting practice cluster scores were then used as separate dependent variables in backward linear regression analyses, to examine the relationship with parental characteristics (parental education level, parental BMI at baseline and parenting style dimensions) and child characteristics (gender, age, ethnicity and BMI z-score at baseline). Partial correlation was used to assess the associations between cluster scores and child dietary and activity behaviours. These analyses were corrected for the child and parent background characteristics mentioned above. All analyses were performed using IBM SPSS Statistics version 19.0. Cases with missing values were excluded per analysis. To describe the study population, we computed medians, interquartile ranges and percentages for socio-demographic variables and child dietary and activity behaviours. Principal component analysis (PCA) with oblique rotation was performed to examine clustering of diet-related and activity-related parenting practises. Oblique rotation was chosen because of the expected association between the extracted components [59]. A scree plot was used to determine the number of components. Items with absolute component loadings larger than 0.4 were considered part of the component, in line with previous research [59]. Cluster scores were computed for each child as each parenting practice measure multiplied by their corresponding component loading [60]. The parenting practice cluster scores were then used as separate dependent variables in backward linear regression analyses, to examine the relationship with parental characteristics (parental education level, parental BMI at baseline and parenting style dimensions) and child characteristics (gender, age, ethnicity and BMI z-score at baseline). Partial correlation was used to assess the associations between cluster scores and child dietary and activity behaviours. These analyses were corrected for the child and parent background characteristics mentioned above. Study design, setting, participants and procedure: Data for this study were retrieved from the IVO Nutrition and Physical Activity Child cohorT (INPACT), for which approval was obtained from the Ethical Committee of the Erasmus MC (University Medical Center Rotterdam). INPACT is an observational study (initiated in 2008) focusing on modifiable determinants of overweight in the home environment of children aged 8–12 years in the Netherlands. INPACT was conducted among primary school children in southern Netherlands (Eindhoven area). In recruiting the schools in 2008, we collaborated with the Municipal Health Authority for Eindhoven and surrounding area (GGD Brabant-Zuidoost). The Municipal Health Authority invited all general primary schools in their service area to participate in the INPACT study. Of the 265 schools invited, 91 took part; the response rate from rural and urban schools was equal. The primary caregivers of third-grade students (aged ± 8 years) were invited to participate in the cohort study, together with their child. Of the 2948 parent–child dyads invited, 1839 (62.4%) gave written informed consent to participate in the INPACT study for four years. The study included four assessments, each separated by a one-year time interval, and started in the autumn of 2008 (baseline). In the assessments, primary caregivers completed a questionnaire at home, children completed a questionnaire at school, and qualified research assistants measured the children’s height and weight at school. The present study was based on data from 2008 (baseline) and 2009 (second assessment). Parents reported on child and parental background characteristics (2008), on their energy balance-related parenting practices (partly in 2008 and partly in 2009) and on their children’s energy balance-related behaviours (2009). In addition, child BMI z-scores from 2008 were used, which were based on measured height and weight. Parent–child dyads with complete data from baseline to 2009 were included in the present study, resulting in 1480 parent–child dyads (80% of the original cohort). Logistic regression analyses on selective dropout from baseline to 2009 showed that parent–child dyads who were not native Dutch dropped out more often. There was no selective dropout regarding child age/gender and parental education level. Sample characteristics: At baseline (n=1839), 7% of the children were underweight, 79% had a normal weight and 14% were overweight, of which 3% were obese. The prevalence of overweight and obesity was similar to Dutch prevalence rates among primary school children [39]. The age of the children was 8 (77%) or 9 (20%) years (range 7–10 years, mean=8.2 years, SD=0.5). Boys (50.5%) and girls (49.5%) were represented in almost equal numbers. Of all children, 17% were from a non-Dutch ethnic background with one or both parents born abroad, of which 9% from non-western countries and 8% from western countries. Primary caregivers were predominantly female (92%). Of all primary caregivers, 21% had finished education at a low level, 45% at a medium level, 32% at a high level, and 2% at a non-specified level. Of the primary caregivers, 1% was underweight, 66% had a normal weight and 33% were overweight, of which 9% were obese. Measures: Diet- and activity-related parenting practices Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour. Descriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009) PA: physical activity SSB: sugar-sweetened beverage. aSeparate questions for sweet snacks and for savoury snacks. bSeparate questions for ‘how much’ and for ‘when’. c% ‘yes’ on both questions. d% ‘yes’ on one of the two questions. eParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section). The HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1). For all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed. Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour. Descriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009) PA: physical activity SSB: sugar-sweetened beverage. aSeparate questions for sweet snacks and for savoury snacks. bSeparate questions for ‘how much’ and for ‘when’. c% ‘yes’ on both questions. d% ‘yes’ on one of the two questions. eParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section). The HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1). For all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed. Child dietary and activity behaviours Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking). Children’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12). Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking). Children’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12). Child and parental background characteristics Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers. Parenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used). In addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58]. Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers. Parenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used). In addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58]. Diet- and activity-related parenting practices: Diet- and activity-related parenting practices were assessed with questionnaire items derived from the Dutch translation of the validated Home Environment Survey (HES) [23]. The home environment can be divided into a physical, socio-cultural, political and economic environment [40]; the HES assesses all of these, except for the economic home enviroment. The physical environment includes availability and accessibility of fruit, vegetables, snacks, SSBs and PA equipment (bicycle, roller skates, ball, etc.), the policital environment includes a scale for healthy eating parental policies (e.g. eating breakfast together with a child) and PA parental policies (e.g. encouraging a child to be physically active), and the socio-cultural environment includes a scale for healthy eating parental role modelling and PA parental role modelling. As suggested by Gattshall et al. [23] , we included a separate scale for parental role modelling of sedentary behaviour. In addition to Gattshall’s items on accessibility of PA equipment we included items on accessibility of sedentary equipment (television and computer). Moreover, we divided all accessibility measures into visibility (‘could be seen’) and accessibility (‘could easily be reached’) (Table 1), as visibility can function as a cue to action (Health Belief Model [41]), and thus be an important factor for influencing behaviour. Descriptives and scale information of key study variables (n=1839 for 2008 and n=1547 for 2009) PA: physical activity SSB: sugar-sweetened beverage. aSeparate questions for sweet snacks and for savoury snacks. bSeparate questions for ‘how much’ and for ‘when’. c% ‘yes’ on both questions. d% ‘yes’ on one of the two questions. eParental fruit, snack and SSB intake were assessed in the same way as child fruit, snack and SSB intake (see Methods section). The HES assesses the physical environment for specific foods and PA equipment, while the political and socio-cultural environment are measured in a generic way (e.g. healthy eating policies/role modelling). In order to include specific measures, we also assessed parental rules for child dietary and activity behaviours as part of the political environment, and parental dietary and activity behaviours (role modelling) as part of the socio-cultural environment. These were assessed with questionnaire items derived from the Endorse study [42] (Table 1). For all parenting practice measures, a higher score implied more policies/rules, role modelling, availability, etc. Table 1 presents additional information on measurement year, number of items, example items, response options, Cronbach’s alphas, and the means and standard deviations (SDs) of the various parenting practices assessed. Child dietary and activity behaviours: Child fruit, snack and SSB intake in 2009 were assessed using several items from a validated Food Frequency Questionnaire (FFQ) designed to accurately assess energy intake of Dutch children aged 2–12 [43,44]. The validation study showed a correlation coefficient between the original questionnaire and the doubly labeled water method of 0.62. The way in which child fruit intake is assessed in this FFQ corresponds with earlier validated FFQs for fruit and vegetable intake [45,46]. The primary caregivers reported how many days in a normal week their children consumed 1) fruit (fresh, bottled and/or canned; no juice), 2) savoury snacks (e.g. potato crisps, peanuts and sausage rolls) in between meals, 3) sweet snacks (e.g. candies, chocolates and candy bars) in between meals, 4) cake or large biscuits in between meals, and 5) SSBs. Answering categories ranged from ‘none or less than 1 day a week’ to ‘7 days a week’. Additionally, they reported the number of servings consumed by their children on such a day. For fruit, answering categories ranged from ‘0 pieces per day’ to ‘more than 3 pieces per day’, by increments of half a piece of fruit. Reported consumption of more than 3 pieces per day (n=12) was recoded as 4 pieces. For savoury snacks, sweet snacks and cake or large biscuits, answering categories ranged from 0 to 10 servings a day. For SSBs, answering categories ranged from ‘0 glasses per day’ to ‘more than 5 glasses per day’, by increments of half a glass. It was specified that one glass equals 200 ml; one can equals 330 ml or 1.5 glasses; one bottle equals 500 ml or 2.5 glasses. Reported consumption of more than 5 glasses per day (n=7) was truncated to 6 pieces. Total child fruit and SSB intake were expressed in servings per week and calculated by multiplying frequency and quantity. Total child snack intake was also expressed in pieces per week and calculated by multiplying frequencies of savoury snacks, sweet snacks and cakes with their corresponding quantities, and summing these scores. Missing values on child fruit, snack and SSB intake were not imputed, because of the low number of missing values (1.0% at the highest, for child snacking). Children’s activity behaviours were also reported by the primary caregiver, and based on a standard questionnaire for assessing children’s activity behaviour used in Dutch Youth Health Care [47]. Parents reported on how many days in a normal week their children 1) went to school on foot or by bicycle (active transport to school), 2) played outside, and 3) participated in a sport at a sports club. Children’s sedentary screen-time behaviour was assessed in a similar way with separate questions for watching television (including videos and DVDs) and playing on the computer. Total child screen time was calculated by summing television days and computer days, ranging from 0 to 14 days (e.g., if parents reported their child to watch television for 7 days per week and to play on the computer for 5 days per week, the child scored 12). Child and parental background characteristics: Data on demographics were primarily collected in the parent questionnaire of 2008. Child age was measured in years by subtracting the date of questionnaire completion from the child’s birth date. To assess the child’s ethnic background, the primary caregiver reported the country of origin of both parents. According to standard procedures of Statistics Netherlands [48], a child was classified as native Dutch if both parents were born in the Netherlands, as a western immigrant if at least one parent was born outside the Netherlands but inside Europe, and as a non-western immigrant if at least one parent was born in Turkey, Africa, Latin America or Asia. The primary caregiver also reported on his/her highest level of education. According to international classification systems [49], parental education level was defined as low (primary school and lower vocational/lower general secondary education), medium (intermediate vocational education, higher general secondary education and university prep), high (higher vocational education and university), or non-defined. To assess parental BMI, the primary caregiver reported his/her own height and weight. He/she also reported whether he/she was the child’s biological parent. Parental BMI (for biological parents only) was calculated on the basis of these answers. Parenting style was measured using the Dutch translation [50] of an instrument based on earlier work by Steinberg et al. [51,52], which is used in many studies worldwide [50,53-55]. This 22-item measure assessed three parenting-style dimensions: support (e.g. ‘When my child gets a low grade in school, I offer to help him/her’), behavioural control (e.g. ‘I know exactly what my child does in his/her free time’ and psychological control (e.g. ‘I make my child feel guilty when he/she gets a low grade in school’) (see [56] for additional information on the parenting style instrument used). In addition to questionnaire data, child BMI was based on the child’s height and weight: i.e. weight (kg)/height (m)2, as measured by the qualified research assistants in 2008. Children were measured at school according to standard procedures in light clothing without shoes, to the nearest 0.1 kg and 0.1 cm. Weight was measured with an electronic flat scale (Seca 840; Beenhakker, Rotterdam, the Netherlands) and height with a mobile measuring ruler (Seca 214; Beenhakker, Rotterdam, the Netherlands). BMI z-scores were calculated [57] based on age and gender-specific values from the 1997 National Growth Study in the Netherlands [58]. Strategy for analyses: All analyses were performed using IBM SPSS Statistics version 19.0. Cases with missing values were excluded per analysis. To describe the study population, we computed medians, interquartile ranges and percentages for socio-demographic variables and child dietary and activity behaviours. Principal component analysis (PCA) with oblique rotation was performed to examine clustering of diet-related and activity-related parenting practises. Oblique rotation was chosen because of the expected association between the extracted components [59]. A scree plot was used to determine the number of components. Items with absolute component loadings larger than 0.4 were considered part of the component, in line with previous research [59]. Cluster scores were computed for each child as each parenting practice measure multiplied by their corresponding component loading [60]. The parenting practice cluster scores were then used as separate dependent variables in backward linear regression analyses, to examine the relationship with parental characteristics (parental education level, parental BMI at baseline and parenting style dimensions) and child characteristics (gender, age, ethnicity and BMI z-score at baseline). Partial correlation was used to assess the associations between cluster scores and child dietary and activity behaviours. These analyses were corrected for the child and parent background characteristics mentioned above. Results: Children had an average weekly fruit consumption of 7.4 pieces (SD=4.2; range: 0–28), an average weekly snack intake of 9.7 pieces (SD=5.8; range: 0–35) and an average weekly SSB intake of 9.1 glasses (SD=8.3; range: 0–42). Only 15% of the children met the recommended Dutch norm of at least 14 pieces of fruit per week [61]. On average, children went to school on foot or by bicycle on 4.3 days per week (SD=1.3; range: 0–5), played outside on 6.6 days per week (SD=0.8, range: 0–7), participated in a sport at a sports club on 2.5 days per week (SD=1.3; range: 0–7), watched television on 6.7 days per week (SD=0.89, range: 0–7) and played on the computer on 4.7 days per week (SD=2.0; range 0–7). Of all children, 75% commuted to school in an active way all 5 days of the school week, 77% played outside all 7 days of the week, 86% watched television all 7 days of the week and 32% played on the computer all 7 days of the week. PCA revealed 5 parenting practice clusters (Table 2). The first cluster included a high visibility and accessibility of SSB and snacks, a high availability of screens in the child’s bedroom and a low score on parental healthy eating policies (‘high visibility and accessibility of screens and unhealthy food’ cluster). The second cluster included snack and SSB rules, screen-time rules and sports rules (‘diet- and activity-related rules’ cluster). The third cluster combined a low availability of snacks and SSBs with a low accessibility of snacks and SSBs (‘low availability of unhealthy food’ cluster). The fourth cluster included parental modelling of healthy eating, as well as low parental sedentary modelling, low parental snack intake and high accessibility of PA equipment (‘diet- and activity-related positive modelling’ cluster). The final cluster combined high parental sports days and high parental fruit intake with positive PA modelling (‘positive modelling on sports and fruit’ cluster). The five parenting practice clusters explained 32.0% of the variance in the original items. Cluster 1 and 2 were negatively correlated (r=-0.16), while cluster 2 and 4 (r=0.17) and 4 and 5 (r=0.12) were positively correlated. The remaining combinations of clusters were not related (r<0.10). Component loadings of principal component analysis on diet- and activity-related parenting practices (n=1059, missings list wise) PA: physical activity SSB: sugar-sweetened beverage. Data printed bold indicate absolute component loadings larger than 0.4 (= part of the component). Variance explained by component 1 = 10.6%; variance explained by component 2 = 6.4%; variance explained by component 3 = 5.7%; variance explained by component 4 = 5.0% and variance explained by component 5 = 4.3%. Results of the regression analyses with the cluster scores as dependent variables (Table 3) showed that parents of non-western and western immigrant children, parents with a higher BMI, lower education and parents who used higher levels of psychological control scored significantly higher on the ‘high visibility and accessibility of screens and unhealthy food’ cluster. The ‘diet- and activity-related rules’ cluster was positively associated with a high parental education and with higher levels of behavioural control. Parents of non-western and western immigrant children as well as high-educated parents scored significantly higher on the ‘low availability of unhealthy food’ cluster. The ‘diet- and activity-related positive modelling’ cluster was positively associated with child BMI z-scores, negatively with parental BMI and psychological control, and positively with behavioural control. Finally, middle and high-educated parents and parents who used higher levels of behavioural control scored significantly higher on sports- and fruit-related positive modelling (cluster 5). Child and parental characteristics related to cluster scores (standardized regression coefficients backward regression), n=981 1 1child characteristics: gender, age, ethnicity, BMI z-score; parental characteristics: parental education level, parental BMI; parenting style dimensions; * correlation is significant at the 0.05 level (2-tailed); ** correlation is significant at the 0.01 level (2-tailed); *** correlation is significant at the 0.001 level (2-tailed). 2R2=0.14. 3R2=0.03. 4R2=0.09. 5R2=0.07. 6R2=0.04. As shown in Table 4, partial correlations revealed that the cluster high in visibility and accessibility of screens and unhealthy food was negatively associated with child fruit intake, and positively with child snack intake, SSB intake and screen time. The diet- and activity-related rules cluster was positively associated with child fruit intake and child active transport, but negatively associated with child snack and SSB intake and child screen time. The cluster of low availability of unhealthy food showed negative associations with child snack and SSB intake as well as with child active transport and screen time. Positive parental modelling on dietary, PA and sedentary behaviour (cluster 4) showed positive associations with child fruit intake, child active transport and child outdoor playing, and negative associations with child snack and SSB intake and with child screen time. Positive parental modelling on sports and fruit was positively associated with child fruit intake and sports, as well as with child outdoor playing, and negatively with child SSB intake. Associations between clusters of diet and activity-related parenting practices and child dietary and activity behaviours (partial correlation coefficients), n=10131 SSB: sugar-sweetened beverage. 1Adjusted for child characteristics (gender, age, ethnicity and BMI z-score at baseline) and parental characteristics (parental education level, parental BMI at baseline and parenting style dimensions). Child dietary and activity behaviours were assessed in 2009 (=second assessment). Discussion: This study investigated the clustering of parenting practices across the dietary and activity domain. We also examined whether these clusters are associated with child- and parent-related factors, and with child dietary and activity behaviours. As hypothesised, we found evidence for clustering within the dietary domain (e.g. clustering of SSB- and snack-related parenting practices) and within the activity domain (e.g. clustering of screen time rules and sports rules), which is in line with the few studies that reported on interdependencies between diet-related parenting practices [22,23] and between activity-related parenting practices [23]. A new finding is that parenting practices cluster across domains: four out of five clusters included both diet- and activity-related parenting practices. In addition, parenting practices cluster on the type of home enviroment: two clusters represented the physical home environment (‘high visibility and accessibility of screens and unhealthy food’ and ‘low availability of unhealthy food’), one represented the policital home environment (the ‘diet- and activity-related rules’ cluster) and the two parental modelling clusters represented the socio-cultural home environment. These new findings are very relevant in terms of broadening the scientific knowledge base on the topic of parenting practices. In the present study, parental modelling was assessed in two ways: using role modelling scales of the HES [23] and parent’s own behaviour. The diet- and activity-related positive modelling cluster (cluster 4) included two parental role modelling scales. They referred to parental healthy eating and sedentary behaviour that was directly observed by the child[23] (see example items in Table 1). This might imply the assessment of a more conscious way of parenting (a parenting practice) than when parental modelling is assessed by a parent’s own behaviour. The diet- and activity-related positive modelling cluster (cluster 4) was more likely to be found in parents of heavier children who are lighter themselves, and express more behavioural control and less psychological control. This suggests that this might be a parental strategy in response to their child’s higher weight, particularly in normal weight parents. Similarly, diet- and activity-related positive modelling may be a stable parental strategy, reflecting normal weight parents’ own way of living [62], based on health beliefs. Finally, it may not be a parental strategy aimed at healthy dietary and activity behaviour in children, but rather a more unconscious way of parenting based on, for example, habits formed in early life. Similarly, the ‘diet- and activity-related rules’ cluster (cluster 2) might be a parental strategy based on health beliefs, but rule setting in the dietary and activity domain could also be part of a broader parental context of rule setting, based on, for example, parenting beliefs of strictness and involvement. This is supported by the finding that cluster 2 was positively related to behavioural control, which is an indicator of parental involvement. There is evidence that parental education level indicates a broader parental context in which parenting practices operate [7,63]. A non-supportive parental context might be reflected in cluster 1, the unhealthy cluster of making screens and unhealthy food visible and accessible at home, which was more likely to be found in low-educated parents, but also in minority groups, parents with a higher BMI and parents who use more psychological control (all found to be associated with a higher child weight and/or unhealthy lifestyle (e.g., [15,56,64]). In contrast, healthy clusters are generally more likely to be found in high(er)-educated parents. These findings are consistent with the well-established relationship between socioeconomic position and health, stating that the socioeconomically better-off do better on most measures of health status [65]. Our findings also suggest that low-educated parents are an important target group for intervention development aimed at improving clustered parenting practices. However, because of the explorative nature of our study, the results cannot yet be translated into far reaching implications for public health. Before interventions can be developed, more studies are needed to elucidate how clusters of parenting practices arise (e.g. whether execution of parenting practices is a deliberate or a more unconscious process, whether parents adapt their practices or not and based on which indicators) and how they can be influenced, especially in low-educated parents. Apart from individual factors (e.g. a lack of knowledge and skills about parenting or a lack of health consciousness), exploring the social context of low-educated parents may elucidate why they have less-favourable parenting practices than high-educated parents. Ways in which the social context of low-educated parents can place constraints on their individual choices is by shaping social norms and by providing less opportunities to engage in healthy behaviours. This may influence their own health behaviour [66], but also their health-related parenting practices. For example, group norms may ensure that low-educated parents pursue other values than health values, and because of neighbourhood safety problems, they may not encourage their children to play outside. To better understand parenting practices in low-educated parents, future studies should explore the influence of the social context. To indicate the magnitude of their relevance, we examined whether the five clusters were related to child dietary and activity behaviour. We found that the separate clusters were related to both child dietary behaviour and child activity behaviour and, overall, in the hypothesised direction: the ‘high visibility and accessibility of screens and unhealthy food’ cluster was positively related to obesity-inducing behaviour (i.c. child snack intake, SSB intake and screen time) and negatively to obesity-reducing behaviour (i.c. child fruit intake), while the remaining healthy clusters were negatively related to obesity-inducing behaviour and positively to obesity-reducing behaviour. The strongest associations were found in the positive modelling clusters. Diet- and activity-related positive modelling was found to have the strongest associations with child snack intake, SSB intake, active transporting to school, outdoor playing and screen time, while positive modelling on sports and fruit was strongest related to child fruit intake and child sports participation. This underlines the potential of a clustered approach of parental modelling in the dietary and activity domain as a parental strategy to (subtly) improve children’s dietary and activity behaviour. However, in low-educated parents this implies changing their own behaviour, which may be harder to accomplish than, for example, introducing parental rules in the dietary and activity domain. As the diet- and activity-related rules cluster was positively related to cluster 4, setting rules might eventually be an indirect way to change parental role modelling in a positive way. Our study has the strength of combining diet- and activity-related parenting practices, higher-order parental factors and child dietary and activity behaviours in one study, which is exceptional in this field of research[18]. In addition, our clustering approach, which is new in studies on parenting practices, seems to have potential as a starting point for interventions to assist parents in changing their child’s dietary and activity behaviour. Such interventions could be more efficient because of the synergic effect of a clustered approach. Nevertheless, some limitations should be mentioned. First, diet- and activity-related parenting practices were reported by the primary caregiver (mostly the mother), while research shows that, for example, for child PA paternal and not maternal role modelling is the main determinant [20]. Future studies should (ideally) include both parents to examine whether fathers and mothers have a differential influence on child dietary and activity behaviour. Second, there was low variability in responses for some parenting practices, e.g. fruit availability and accessibility, which might explain why these parenting practices are not part of a cluster. However, this could also be explained by analytical choices, namely choosing a cut-off point for component loadings of 0.4. Although this is in line with recommendations [67], cut-off points in previous studies ranged from 0.2 to 0.6 [68]. If, for example, a cut-off point of 0.3 had been used in our study, fruit availability, fruit accessibility as well as fruit rules would have been included in the positive modelling on sports and fruit cluster. Third, Cronbach’s alpha values of some of our parenting practices scales were relatively low. Although a Cronbach’s alpha ≥.6 is generally considered acceptable [69], some authors advocate different cut-off points. Finally, child dietary and activity behaviours were proxy reports of primary caregivers, which may evoke social desirability bias and lead to overestimation of obesity-reducing behaviours and underestemiantion of obesity-inducing behaviours [70-72]. In addition, child activity behaviours were reported in days per week which may not accurately reflect behaviour duration or energy expenditure, especially for outdoor playing and screen time. Conclusions: The current study shows that parenting practices cluster on the type of home environment (i.e. physical, political and socio-cultural) while cutting across the dietary and activity domain. Several parental characteristics were related to the separate clusters, of which parental education level could be seen as an indicator of a broader parental context in which the clusters of parenting practices operate. A low parental education level was associated with the only unhealthy cluster, while a high(er) education level was associated with healthy clusters. Separate clusters were related to both child dietary behaviour and child activity behaviour in the hypothesised directions, indicating the relevance of the clusters in influencing child behaviour. Interventions that focus on clusters of parenting practices to assist parents, especially low-educated parents, in changing their child’s dietary and activity behaviour seems justified, but more studies are needed to further elucidate how clusters arise and how they can be influenced. Abbreviations: BMI: Body mass index; EBRB: Energy balance-related behaviour; FFQ: Food frequency questionnaire; HES: Home environment survey; INPACT IVO: Nutrition and physical activity child cohort; PA: Physical activity; SSB: Sugar-sweetened beverage Competing interests: The authors declare that they have no competing interests. Authors’ contributions: GR, AO, SPJK and DvdM designed the study. GR conducted the INPACT study and performed the statistical analyses. GR, AO, SPJK and DvdM wrote the manuscript. All authors read and approved the final manuscript.
Background: Various diet- and activity-related parenting practices are positive determinants of child dietary and activity behaviour, including home availability, parental modelling and parental policies. There is evidence that parenting practices cluster within the dietary domain and within the activity domain. This study explores whether diet- and activity-related parenting practices cluster across the dietary and activity domain. Also examined is whether the clusters are related to child and parental background characteristics. Finally, to indicate the relevance of the clusters in influencing child dietary and activity behaviour, we examined whether clusters of parenting practices are related to these behaviours. Methods: Data were used from 1480 parent-child dyads participating in the Dutch IVO Nutrition and Physical Activity Child cohorT (INPACT). Parents of children aged 8-11 years completed questionnaires at home assessing their diet- and activity-related parenting practices, child and parental background characteristics, and child dietary and activity behaviours. Principal component analysis (PCA) was used to identify clusters of parenting practices. Backward regression analysis was used to examine the relationship between child and parental background characteristics with cluster scores, and partial correlations to examine associations between cluster scores and child dietary and activity behaviours. Results: PCA revealed five clusters of parenting practices: 1) high visibility and accessibility of screens and unhealthy food, 2) diet- and activity-related rules, 3) low availability of unhealthy food, 4) diet- and activity-related positive modelling, and 5) positive modelling on sports and fruit. Low parental education was associated with unhealthy cluster 1, while high(er) education was associated with healthy clusters 2, 3 and 5. Separate clusters were related to both child dietary and activity behaviour in the hypothesized directions: healthy clusters were positively related to obesity-reducing behaviours and negatively to obesity-inducing behaviours. Conclusions: Parenting practices cluster across the dietary and activity domain. Parental education can be seen as an indicator of a broader parental context in which clusters of parenting practices operate. Separate clusters are related to both child dietary and activity behaviour. Interventions that focus on clusters of parenting practices to assist parents (especially low-educated parents) in changing their child's dietary and activity behaviour seems justified.
Background: Diets rich in fruit and vegetables and an active lifestyle are associated with important health protective effects, including protection against some types of cancer, cardiovascular diseases, type 2 diabetes and overweight [1,2]. There is considerable evidence that children consume less fruit and vegetables than is recommended [3-7] and that they do not meet physical activity (PA) recommendations [8]. Because diet- and activity-related habits established in childhood often track through to adulthood [9-11], these energy balance-related behaviours (EBRBs) should be improved at an early age. Improvement of these behaviours requires understanding of the factors determining children’s EBRBs. The home environment is a critical context for the development of children’s eating and activity behaviours [12-14]. Parents play a key role in shaping the home environment. In review studies on parental correlates of child fruit and vegetable consumption, the most consistently supported positive determinants of child and adolescent intake are parental dietary intake, parental modelling, home availability and accessibility, family rules, parental encouragement and parental education [12,15-18]. In addition, parental fat intake is a consistent and positive correlate of child fat intake [15]. Important positive parental correlates for child and adolescent PA are parental support, parental encouragement, paternal PA, maternal education level and family income [12,19,20]. Conceptually, such parental correlates can be divided into parenting practices (i.e. content-specific acts of parenting [21], such as rules about dietary intake or activity behaviour) and more general or distal parental factors (e.g., parental education and family income). The latter can be conceptualised as potential background variables or higher-order moderators of the relationship between parenting practices and child behaviour [7]. The current study focuses on clustering of parenting practices in relation to more distal parental factors. There is some evidence that parenting practices co-occur or ‘cluster’. Gubbels et al. [22] found evidence for clustering of diet-related restrictive parenting practices, namely a cluster characterised by prohibition of the intake of various snacks and soft drinks, and a separate cluster characterised by prohibition of cookies and cake. A study by Gattshall et al. [23] showed interdependencies between diet-related parenting practices for fruit and vegetables, and between PA-related parenting practices, i.e. availability, accessibility, parental role modelling and parental policies. However, they did not study interdependencies between diet- and activity-related parenting practices. To our knowledge, no studies have used a clustering approach to examine both diet- and activity-related parenting practices, while studies on this topic are needed to elucidate whether parenting practices cluster across the dietary and activity domain (e.g. parental rule setting regarding snacks and screen time). Clustering across domains could point to a broader parental context in which the clusters of parenting practices operate, e.g. a parental context of health beliefs. The potential synergy between parenting practices that occur in clusters could result in more efficient interventions aimed at improving diet-and activity-related parenting practices, by applying an integrated approach that addresses multiple parenting practices simultaneously [24]. To elucidate how clusters of parenting practices may arise, it is important to examine factors related to the potential clusters of parenting practices. These factors can be both child- and parent-related. In previous studies, child gender [25,26], weight [26-30], food neophobia [31] and eating style (hungry or picky) [26], as well as parental body mass index (BMI), eduation level, parenting style, employment, ethnicity and parental age [22,26,27,31-37] were related to diet-related parenting practices, while child gender and activity style (active or not) [26], parental education level and working hours per week were related to activity-related parenting practices [26]. To test the magnitude of their relevance, it is also important to relate potential clusters of parenting practices to child dietary and activity behaviours. We chose to relate them to obesity-reducing, i.e. child fruit intake, child active commuting to school, child outdoor playing and child sports participation, as well as obesity-inducing behaviours, i.e. child snack and sugar-sweetenend beverage (SSB) intake, and child screen time [38]. The aim of this study was to examine clustering of parenting practices across the dietary and activity domain in parents of children aged 8–11 years. Children and their parents were recruited from rural and urban general primary schools in southern Netherlands. Apart from clustering of parenting practices, we examined whether these potential clusters are associated with child- and parent-related factors, and with child dietary and activity behaviours. Based on earlier studies we included child gender, age, ethnicity and weight, and parental BMI, education level and parenting style as factors that could potentially be associated with the clusters. We hypothesised that the parenting practices would cluster within and across the dietary and activity domain, and that healthy clusters would positively relate to obesity-reducing behaviours and negatively to obesity-inducing behaviours. Conclusions: The current study shows that parenting practices cluster on the type of home environment (i.e. physical, political and socio-cultural) while cutting across the dietary and activity domain. Several parental characteristics were related to the separate clusters, of which parental education level could be seen as an indicator of a broader parental context in which the clusters of parenting practices operate. A low parental education level was associated with the only unhealthy cluster, while a high(er) education level was associated with healthy clusters. Separate clusters were related to both child dietary behaviour and child activity behaviour in the hypothesised directions, indicating the relevance of the clusters in influencing child behaviour. Interventions that focus on clusters of parenting practices to assist parents, especially low-educated parents, in changing their child’s dietary and activity behaviour seems justified, but more studies are needed to further elucidate how clusters arise and how they can be influenced.
Background: Various diet- and activity-related parenting practices are positive determinants of child dietary and activity behaviour, including home availability, parental modelling and parental policies. There is evidence that parenting practices cluster within the dietary domain and within the activity domain. This study explores whether diet- and activity-related parenting practices cluster across the dietary and activity domain. Also examined is whether the clusters are related to child and parental background characteristics. Finally, to indicate the relevance of the clusters in influencing child dietary and activity behaviour, we examined whether clusters of parenting practices are related to these behaviours. Methods: Data were used from 1480 parent-child dyads participating in the Dutch IVO Nutrition and Physical Activity Child cohorT (INPACT). Parents of children aged 8-11 years completed questionnaires at home assessing their diet- and activity-related parenting practices, child and parental background characteristics, and child dietary and activity behaviours. Principal component analysis (PCA) was used to identify clusters of parenting practices. Backward regression analysis was used to examine the relationship between child and parental background characteristics with cluster scores, and partial correlations to examine associations between cluster scores and child dietary and activity behaviours. Results: PCA revealed five clusters of parenting practices: 1) high visibility and accessibility of screens and unhealthy food, 2) diet- and activity-related rules, 3) low availability of unhealthy food, 4) diet- and activity-related positive modelling, and 5) positive modelling on sports and fruit. Low parental education was associated with unhealthy cluster 1, while high(er) education was associated with healthy clusters 2, 3 and 5. Separate clusters were related to both child dietary and activity behaviour in the hypothesized directions: healthy clusters were positively related to obesity-reducing behaviours and negatively to obesity-inducing behaviours. Conclusions: Parenting practices cluster across the dietary and activity domain. Parental education can be seen as an indicator of a broader parental context in which clusters of parenting practices operate. Separate clusters are related to both child dietary and activity behaviour. Interventions that focus on clusters of parenting practices to assist parents (especially low-educated parents) in changing their child's dietary and activity behaviour seems justified.
18,378
422
[ 973, 426, 216, 3310, 530, 604, 508, 236, 47, 10, 42 ]
15
[ "child", "parental", "parenting", "activity", "fruit", "children", "intake", "reported", "environment", "related" ]
[ "child dietary behaviour", "healthy eating parental", "parental fruit intake", "diet related parenting", "children dietary activity" ]
[CONTENT] Parenting practices | Clustering | Children | Dietary behaviour | Activity behaviour [SUMMARY]
[CONTENT] Parenting practices | Clustering | Children | Dietary behaviour | Activity behaviour [SUMMARY]
[CONTENT] Parenting practices | Clustering | Children | Dietary behaviour | Activity behaviour [SUMMARY]
[CONTENT] Parenting practices | Clustering | Children | Dietary behaviour | Activity behaviour [SUMMARY]
[CONTENT] Parenting practices | Clustering | Children | Dietary behaviour | Activity behaviour [SUMMARY]
[CONTENT] Parenting practices | Clustering | Children | Dietary behaviour | Activity behaviour [SUMMARY]
[CONTENT] Child | Child Behavior | Cluster Analysis | Cross-Sectional Studies | Diet | Educational Status | Exercise | Feeding Behavior | Female | Health Behavior | Humans | Male | Obesity | Parenting | Parents | Regression Analysis | Sedentary Behavior | Sports [SUMMARY]
[CONTENT] Child | Child Behavior | Cluster Analysis | Cross-Sectional Studies | Diet | Educational Status | Exercise | Feeding Behavior | Female | Health Behavior | Humans | Male | Obesity | Parenting | Parents | Regression Analysis | Sedentary Behavior | Sports [SUMMARY]
[CONTENT] Child | Child Behavior | Cluster Analysis | Cross-Sectional Studies | Diet | Educational Status | Exercise | Feeding Behavior | Female | Health Behavior | Humans | Male | Obesity | Parenting | Parents | Regression Analysis | Sedentary Behavior | Sports [SUMMARY]
[CONTENT] Child | Child Behavior | Cluster Analysis | Cross-Sectional Studies | Diet | Educational Status | Exercise | Feeding Behavior | Female | Health Behavior | Humans | Male | Obesity | Parenting | Parents | Regression Analysis | Sedentary Behavior | Sports [SUMMARY]
[CONTENT] Child | Child Behavior | Cluster Analysis | Cross-Sectional Studies | Diet | Educational Status | Exercise | Feeding Behavior | Female | Health Behavior | Humans | Male | Obesity | Parenting | Parents | Regression Analysis | Sedentary Behavior | Sports [SUMMARY]
[CONTENT] Child | Child Behavior | Cluster Analysis | Cross-Sectional Studies | Diet | Educational Status | Exercise | Feeding Behavior | Female | Health Behavior | Humans | Male | Obesity | Parenting | Parents | Regression Analysis | Sedentary Behavior | Sports [SUMMARY]
[CONTENT] child dietary behaviour | healthy eating parental | parental fruit intake | diet related parenting | children dietary activity [SUMMARY]
[CONTENT] child dietary behaviour | healthy eating parental | parental fruit intake | diet related parenting | children dietary activity [SUMMARY]
[CONTENT] child dietary behaviour | healthy eating parental | parental fruit intake | diet related parenting | children dietary activity [SUMMARY]
[CONTENT] child dietary behaviour | healthy eating parental | parental fruit intake | diet related parenting | children dietary activity [SUMMARY]
[CONTENT] child dietary behaviour | healthy eating parental | parental fruit intake | diet related parenting | children dietary activity [SUMMARY]
[CONTENT] child dietary behaviour | healthy eating parental | parental fruit intake | diet related parenting | children dietary activity [SUMMARY]
[CONTENT] child | parental | parenting | activity | fruit | children | intake | reported | environment | related [SUMMARY]
[CONTENT] child | parental | parenting | activity | fruit | children | intake | reported | environment | related [SUMMARY]
[CONTENT] child | parental | parenting | activity | fruit | children | intake | reported | environment | related [SUMMARY]
[CONTENT] child | parental | parenting | activity | fruit | children | intake | reported | environment | related [SUMMARY]
[CONTENT] child | parental | parenting | activity | fruit | children | intake | reported | environment | related [SUMMARY]
[CONTENT] child | parental | parenting | activity | fruit | children | intake | reported | environment | related [SUMMARY]
[CONTENT] practices | parenting practices | parenting | parental | child | related | factors | 26 | activity | clusters [SUMMARY]
[CONTENT] child | day | reported | fruit | children | parental | environment | snacks | days | primary [SUMMARY]
[CONTENT] cluster | child | intake | parental | sd range | days | component | sd | positive | range [SUMMARY]
[CONTENT] clusters | level associated | education level associated | behaviour | parental | separate clusters | child | clusters parenting | clusters parenting practices | practices [SUMMARY]
[CONTENT] child | parental | parenting | activity | children | fruit | intake | cluster | practices | parenting practices [SUMMARY]
[CONTENT] child | parental | parenting | activity | children | fruit | intake | cluster | practices | parenting practices [SUMMARY]
[CONTENT] Various diet- ||| ||| diet- ||| ||| [SUMMARY]
[CONTENT] 1480 | the Dutch IVO Nutrition and Physical Activity Child ||| 8-11 years ||| ||| [SUMMARY]
[CONTENT] PCA | five | 1 | 2 | 3 | 5 ||| 1 | 2 | 3 | 5 ||| [SUMMARY]
[CONTENT] ||| ||| ||| [SUMMARY]
[CONTENT] ||| ||| diet- ||| ||| ||| 1480 | the Dutch IVO Nutrition and Physical Activity Child ||| 8-11 years ||| ||| ||| five | 1 | 2 | 3 | 5 ||| 1 | 2 | 3 | 5 ||| ||| ||| ||| ||| [SUMMARY]
[CONTENT] ||| ||| diet- ||| ||| ||| 1480 | the Dutch IVO Nutrition and Physical Activity Child ||| 8-11 years ||| ||| ||| five | 1 | 2 | 3 | 5 ||| 1 | 2 | 3 | 5 ||| ||| ||| ||| ||| [SUMMARY]
Polycystic kidney disease in patients on the renal transplant waiting list: trends in hematocrit and survival.
12194700
The patient characteristics and mortality associated with autosomal dominant polycystic kidney disease (PKD) have not been characterized for a national sample of end stage renal disease (ESRD) patients on the renal transplant waiting list.
BACKGROUND
40,493 patients in the United States Renal Data System who were initiated on ESRD therapy between 1 April 1995 and 29 June 1999 and later enrolled on the renal transplant waiting list were analyzed in an historical cohort study of the relationship between hematocrit at the time of presentation to ESRD and survival (using Cox Regression) in patients with PKD as a cause of ESRD.
METHODS
Hematocrit levels at presentation to ESRD increased significantly over more recent years of the study. Hematocrit rose in parallel in patients with and without PKD, but patients with PKD had consistently higher hemoglobin. PKD was independently associated with higher hematocrit in multiple linear regression analysis (p < 0.0001). In logistic regression, higher hematocrit was independently associated with PKD. In Cox Regression analysis, PKD was associated with statistically significant improved survival both in comparison with diabetic (hazard ratio, 0.64, 95% CI 0.53-0.77, p < 0.001) and non-diabetic (HR 0.68, 95% CI 0.56-0.82, p = 0.001) ESRD patients, adjusted for all other factors.
RESULTS
Hematocrit at presentation to ESRD was significantly higher in patients with PKD compared with patients with other causes of ESRD. The survival advantage of PKD in ESRD persisted even adjusted for differences in hematocrit and in comparison with patients on the renal transplant waiting list.
CONCLUSIONS
[ "Female", "Hematocrit", "Humans", "Kidney Failure, Chronic", "Kidney Transplantation", "Male", "Middle Aged", "Peritoneal Dialysis", "Polycystic Kidney Diseases", "Registries", "Regression Analysis", "Renal Dialysis", "Survival Rate", "United States", "Waiting Lists" ]
122070
Background
Polycystic kidney disease (PKD) has recently been associated with decreased mortality compared with non-diabetic end stage renal disease (ESRD) patients. [1] Because Hematocrit levels have been reported to be higher in PKD patients than in other patients with ESRD, it has been suggested that the survival of these patients may be related to their elevated Hematocrit levels. [2] Another recent study adjusted for the level of Hematocrit at initiation of dialysis, and found the survival benefit of PKD persisted. [3] However, because PKD patients are much more likely to be placed on the renal transplant waiting list and receive renal transplantation than other ESRD patients [1,3], it is possible this survival advantage may also be due to their younger age and better general health. It would be useful to know if the differences in Hematocrit and survival persisted in analysis limited to patients enrolled on the renal transplant waiting list. Therefore, we analyzed data from the standard analysis files of the 2000 United States Renal Data System (USRDS) database. Our objectives were to analyze differences in Hematocrit and hemoglobin between patients with PKD and other causes of ESRD, whether these differences have changed over time, and whether this or other factors are associated with their relative survival advantage in ESRD.
Methods
We analyzed a national registry (the 2000 USRDS) in an historical cohort study of the association of Polycystic kidney disease with Hematocrit and patient survival among patients enrolled on the renal transplant waiting list. Information on comorbidity, as well as height and weight to calculate BMI, was obtained from the USRDS file SAF.MEDEVID. This file is derived from the Center for Medicare and Medicaid Studies (formerly HCFA) medical evidence form (2728) starting with a sample of ESRD patients prior to April 1995 and universal afterward, and has been validated for use in research. [4] We first selected patients who initiated ESRD therapy between 1 April 1995 to 29 June 1999 who had data sufficient to calculate hematocrit. From this cohort, we selected patients enrolled on the renal transplant waiting list, excluding any dates of listing prior to 1 April 1995. The date patients on the renal transplant waiting list first received a renal transplant was also extracted, also excluding any dates prior to 1 April 1995. Recipients of organs other than kidneys and of transplants without preceding dialysis were excluded. The variables included in the USRDS standard analysis files (SAF's), as well as data collection methods and validation studies, are listed at the USRDS website , under 'Researcher's Guide to the USRDS Database', Section E, 'Contents of all the SAF's' (Standard Analysis Files), and published in the USRDS. The demographics of the end stage renal disease population have been previously described (2001 USRDS report). Dialysis patients younger than age 65 are eligible for Medicare 90 days after starting dialysis, with a waiver granted to those choosing home therapies. Therefore, hospitalization and mortality data may be incomplete during the first 90 days after dialysis initiation for patients younger than 65, but start immediately after renal transplant. The file SAF.PATIENTS was used as the primary data set, including cause of renal disease (PDIS) and cause and date of patient death. SAF.RXHIST was used to obtain follow-up dates. The file SAF.TXWAIT contains the date patients in the above cohort were first placed on the transplant waiting list. The file SAF.MEDEVID includes data from the Medical Evidence Form (2728). The file SAF.TXUNOS included information on transplant donor type, pre-transplant dialysis, previous transplant, and multiple organ transplants. Files were merged using unique patient identifiers. Details on anthropometric measurements or nutritional parameters other than serum albumin were unavailable. No information on patient medications was available (for the entire cohort of patients) except for the use of pre-dialysis erythropoietin. The USRDS researcher's agreement specifically prohibits patient contact or chart review. All analyses were performed using SPSS 9.0 TM (SPSS, Inc., Chicago, IL). Files were merged and converted to SPSS files using DBMS/Copy (Conceptual Software, Houston, TX). Statistical significance was defined as p < 0.05. Univariate analysis was performed with Chi-square testing for categorical variables and Student's t-test for continuous variables. Variables with p < 0.10 in univariate analysis for a relationship with elevated BMI were entered into multivariable analysis as covariates. Continuous variables were examined for outliers, and values ≥ 3 SD from the mean were removed from analysis with the exception of height and weight, as above, as per prior reports. Stepwise linear regression was used to calculate the independent association of Polycystic kidney disease, adjusted for other factors, with both Hematocrit and hemoglobin levels. Factors included BMI, race, age, gender, year of first dialysis session, cause of end stage renal disease (diabetes, PKD, or other causes), dialysis type (hemodialysis vs. peritoneal dialysis) and additional variables from the medical evidence form, including diabetes and hypertension as comorbidities distinct from causes of ESRD, and ESRD network, as the independent variables. Stepwise logistic regression was used to model independent associations with Polycystic kidney disease, using the same variables as in linear regression. Stepwise Cox Regression non-proportional hazards analysis modeled the association between polycystic kidney disease with all-cause mortality, controlling for the same variables as in linear regression above. Survival analysis compared all patients on the transplant waiting list, censoring patients for receipt of renal transplantation. Survival time was calculated as the time from the date of the first listing for transplant until death, or latest available follow-up date or receipt of renal transplant. We did not remove patients from the category of listing for transplant if they were removed from this category at a later time, nor did we remove patients from the category of renal transplant recipient if they later experienced graft loss, in intent to treat fashion. Hierarchically well-formed models were used for assessment of interaction terms in all models.
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Discussion
The pre-publication history for this paper can be accessed here:
[ "Background", "Results", "Discussion" ]
[ "Polycystic kidney disease (PKD) has recently been associated with decreased mortality compared with non-diabetic end stage renal disease (ESRD) patients. [1] Because Hematocrit levels have been reported to be higher in PKD patients than in other patients with ESRD, it has been suggested that the survival of these patients may be related to their elevated Hematocrit levels. [2] Another recent study adjusted for the level of Hematocrit at initiation of dialysis, and found the survival benefit of PKD persisted. [3] However, because PKD patients are much more likely to be placed on the renal transplant waiting list and receive renal transplantation than other ESRD patients [1,3], it is possible this survival advantage may also be due to their younger age and better general health. It would be useful to know if the differences in Hematocrit and survival persisted in analysis limited to patients enrolled on the renal transplant waiting list. Therefore, we analyzed data from the standard analysis files of the 2000 United States Renal Data System (USRDS) database. Our objectives were to analyze differences in Hematocrit and hemoglobin between patients with PKD and other causes of ESRD, whether these differences have changed over time, and whether this or other factors are associated with their relative survival advantage in ESRD.", "Of 348,615 patients who initiated ESRD therapy in the USRDS database from 1 April 1995 to 29 June 1999, 43,707 were subsequently entered on the renal transplant waiting list, of whom 40,493 were entered on the waiting list on or after 1 April 1995. Of these, 89% had sufficient information from the medical evidence form (2728) for hematocrit. The mean date of first ESRD service was 14 January 1997. The total study cohort had 12,127 recipients of cadaveric kidneys and 4200 recipients of living donor kidneys, in addition to wait-listed patients who did not receive transplants during the study period. The mean transplant date was 25 Dec 1997, and the most recent transplant date was 16 November 1999. The most recent follow-up date was 29 June 2001. Thus, the study had 51 months of accrual and 24 months of additional followup.\nFor patients with causes of ESRD other than PKD, median hematocrit in 1995 was 27.2 ± 5.3%, in 1996 27.4 ± 5.4%, in 1997 28.0 ± 5.4%, in 1998 28.8 ± 5.4%, and in 1999 30.5 ± 5.4%. There was significant increase in hematocrit by year in linear regression analysis (p < 0.01). For patients with ESRD due to PKD, median hematocrit in 1995 was 29.9 ± 5.7%, in 1996 29.6 ± 5.3%, in 1997 30.5 ± 5.4%, in 1998 30.9 ± 5.6%, and in 1999 31.3 ± 5.5%. There was also a significant increase in hematocrit by year for these patients in linear regression analysis (p < 0.01).\nTable 1 shows descriptive statistics of the study population, which were comparable to previous USRDS reports. The far right column shows results of logistic regression analysis of factors independently associated with polycystic kidney disease.\nFactors assessed in ESRD patients on the renal transplant waiting list who started dialysis on or after 1 April 1995–29 June 1999\nIn column one, data given as the number (% of total) or mean ± one standard deviation of patients with polycystic kidney disease who had the disease or factor. In column two, data are for all other ESRD patients. Odds ratios are the strength of the association of a disease or factor with polycystic kidney disease, with 1.0 being neutral. * = p < 0.01 vs. patients with all other causes of ESRD by Chi Square Test Ap < 0.01 vs. patients with all other causes of ESRD by Student's t-test Bcontrolled for all covariates listed in methods section. Only results with statistical significance (p < 0.01) are shown.\nTable 2 shows results of linear regression analysis of factors associated with Hematocrit, while Table 3 shows results of linear regression analysis of factors associated with hemoglobin.\nLinear regression analysis of factors associated with hematocrit level\nDialysis modality was obtained from the Medical Evidence form (HCFA 2728), and was therefore only available for patients who started on ESRD therapy on or after 1995. Only variables that were significant in univariate analysis are shown.\nFigure 1 shows unadjusted survival stratified by patients with ESRD due to Polycystic kidney disease, diabetes, and all other causes (excluding Polycystic kidney disease and diabetes). Polycystic kidney disease was associated with statistically significant reduced mortality (p < 0.001 by Log Rank Test) vs. either diabetics or non-diabetics. The hazard ratio for patients with Polycystic kidney disease was 0.64, 95% CI 0.53–0.77, p < 0.001 in Cox Regression. Figure 3 shows a survival plot of patients with Polycystic kidney disease vs. all other ESRD patients, excluding those with ESRD due to diabetes. Compared to non-diabetic ESRD patients, patients with Polycystic kidney disease had a hazard ratio for mortality of 0.68, 95% CI 0.56–0.82, p = 0.001.\nUnadjusted survival, by cause of ESRD, patients on the renal transplant waiting list. U.S. Patients on the renal transplant waiting list, who started dialysis from 1 April 1995-29 June 1999, N = 40,493. 1 = Patients with Polycystic kidney disease, 2 = patients without Polycystic kidney disease or diabetes, 3 = patients with diabetes. All diseases listed are as causes of end stage renal disease.", "The present study confirms an association between elevated hematocrit, hemoglobin, and Polycystic kidney disease in a cohort of ESRD disease patients on the renal transplant waiting list. The association between increased hematocrit and polycystic kidney disease was initially noted in small observational studies, which noted higher erythropoietin levels and reticulocyte counts in patients with Polycystic kidney disease as well. [5,6] and later confirmed in registry studies of peritoneal dialysis patients. [7] Although other authors have noted an increase in hematocrit with increasing time on dialysis, [8] the present study was only able to measure hematocrit at the start of dialysis, prior to usual initiation of erythropoietin, although a substantial number of wait-listed patients received pre-dialysis erythropoietin. Regardless, the study again confirms that the survival advantage of Polycystic kidney disease was independent of hematocrit or hemoglobin at the start of dialysis, and in fact was independent of all measured factors. The present study is in agreement with previous reports of positive outcomes of peritoneal dialysis in patients with polycystic kidney. [1,9,10]\nAs we have previously reported, the reasons for the comparatively good survival experienced by patients with polycystic kidney disease are unclear, since these patients have known extrarenal manifestations that may impact longterm survival. While these extrarenal manifestations are emphasized in renal textbooks and training exams, they do not appear to be as significant as the extrarenal manifestations (ie, comorbidity) associated with other diseases causing ESRD, predominantly diabetes and hypertension, as shown in Table 1.\nIn contrast to our previous study, the present study found that hematocrit was significant in multivariate as well as univariate analysis of factors associated with Polycystic kidney disease. In contrast, the present study did not find significant negative associations between Polycystic kidney disease and either cerebrovascular accident, use of pre-dialysis erythropoietin, or hemodialysis, as was noted in our previous analysis. This is most likely due to changes in population characteristics (the previous study included all patients with end stage renal disease) and the much more complete proportion of patients with evidence from the CMS Form 2728 in the present study (100%). However, it is notable that hemodialysis was still not more commonly used in Polycystic kidney disease, in contrast to general recommendations, [11] although this recommendation has not been universal. [12] Peritoneal dialysis has been a more frequent modality in patients with polycystic kidney disease than in patients with other causes of ESRD in the last several USRDS reports. However, this association has not previously been demonstrated corrected for age and other factors.\nThe limitations of the current study are similar to those of other retrospective studies. Variables not available in the USRDS were as stated in the methods section. Residual confounding may have persisted beyond the ability of statistical adjustment to correct. We were unable to follow laboratory values, particularly hematocrit, over time. Radiographic findings could not be confirmed. The USRDS did not distinguish between PKD1 and PKD2 or other genetic presentations of autosomal dominant polycystic kidney disease. The limitations of the CMS Form 2728 have been reviewed, [4] but the accuracy of this form is greatest for cardiovascular disease, which is the leading causes of death in the dialysis population. The population-based nature of this study minimized issues of selection and center bias. Our comparison of Polycystic kidney disease patients with other patients on the renal transplant waiting list, in addition to information on comorbidity and laboratory data, minimized issues of selection bias as much as a registry study is likely to be able. However, this very selection introduces problems with generalizability, and the results of the present study apply to patients on the renal transplant waiting list, not all patients with end stage renal disease.\nIn summary, the mean hematocrit of patients with polycystic kidney disease was significantly higher at presentation to ESRD than for patients with other causes of ESRD on the renal transplant waiting list, despite a significant overall increase in such levels in more recent years of the study. The survival advantage of patients with polycystic kidney disease compared to patients with other causes of ESRD was independent of other factors, including renal transplantation." ]
[ null, null, null ]
[ "Background", "Methods", "Results", "Discussion" ]
[ "Polycystic kidney disease (PKD) has recently been associated with decreased mortality compared with non-diabetic end stage renal disease (ESRD) patients. [1] Because Hematocrit levels have been reported to be higher in PKD patients than in other patients with ESRD, it has been suggested that the survival of these patients may be related to their elevated Hematocrit levels. [2] Another recent study adjusted for the level of Hematocrit at initiation of dialysis, and found the survival benefit of PKD persisted. [3] However, because PKD patients are much more likely to be placed on the renal transplant waiting list and receive renal transplantation than other ESRD patients [1,3], it is possible this survival advantage may also be due to their younger age and better general health. It would be useful to know if the differences in Hematocrit and survival persisted in analysis limited to patients enrolled on the renal transplant waiting list. Therefore, we analyzed data from the standard analysis files of the 2000 United States Renal Data System (USRDS) database. Our objectives were to analyze differences in Hematocrit and hemoglobin between patients with PKD and other causes of ESRD, whether these differences have changed over time, and whether this or other factors are associated with their relative survival advantage in ESRD.", "We analyzed a national registry (the 2000 USRDS) in an historical cohort study of the association of Polycystic kidney disease with Hematocrit and patient survival among patients enrolled on the renal transplant waiting list. Information on comorbidity, as well as height and weight to calculate BMI, was obtained from the USRDS file SAF.MEDEVID. This file is derived from the Center for Medicare and Medicaid Studies (formerly HCFA) medical evidence form (2728) starting with a sample of ESRD patients prior to April 1995 and universal afterward, and has been validated for use in research. [4] We first selected patients who initiated ESRD therapy between 1 April 1995 to 29 June 1999 who had data sufficient to calculate hematocrit. From this cohort, we selected patients enrolled on the renal transplant waiting list, excluding any dates of listing prior to 1 April 1995. The date patients on the renal transplant waiting list first received a renal transplant was also extracted, also excluding any dates prior to 1 April 1995. Recipients of organs other than kidneys and of transplants without preceding dialysis were excluded. The variables included in the USRDS standard analysis files (SAF's), as well as data collection methods and validation studies, are listed at the USRDS website , under 'Researcher's Guide to the USRDS Database', Section E, 'Contents of all the SAF's' (Standard Analysis Files), and published in the USRDS. The demographics of the end stage renal disease population have been previously described (2001 USRDS report). Dialysis patients younger than age 65 are eligible for Medicare 90 days after starting dialysis, with a waiver granted to those choosing home therapies. Therefore, hospitalization and mortality data may be incomplete during the first 90 days after dialysis initiation for patients younger than 65, but start immediately after renal transplant.\nThe file SAF.PATIENTS was used as the primary data set, including cause of renal disease (PDIS) and cause and date of patient death. SAF.RXHIST was used to obtain follow-up dates. The file SAF.TXWAIT contains the date patients in the above cohort were first placed on the transplant waiting list. The file SAF.MEDEVID includes data from the Medical Evidence Form (2728). The file SAF.TXUNOS included information on transplant donor type, pre-transplant dialysis, previous transplant, and multiple organ transplants. Files were merged using unique patient identifiers. Details on anthropometric measurements or nutritional parameters other than serum albumin were unavailable. No information on patient medications was available (for the entire cohort of patients) except for the use of pre-dialysis erythropoietin. The USRDS researcher's agreement specifically prohibits patient contact or chart review.\nAll analyses were performed using SPSS 9.0 TM (SPSS, Inc., Chicago, IL). Files were merged and converted to SPSS files using DBMS/Copy (Conceptual Software, Houston, TX). Statistical significance was defined as p < 0.05. Univariate analysis was performed with Chi-square testing for categorical variables and Student's t-test for continuous variables. Variables with p < 0.10 in univariate analysis for a relationship with elevated BMI were entered into multivariable analysis as covariates. Continuous variables were examined for outliers, and values ≥ 3 SD from the mean were removed from analysis with the exception of height and weight, as above, as per prior reports.\nStepwise linear regression was used to calculate the independent association of Polycystic kidney disease, adjusted for other factors, with both Hematocrit and hemoglobin levels. Factors included BMI, race, age, gender, year of first dialysis session, cause of end stage renal disease (diabetes, PKD, or other causes), dialysis type (hemodialysis vs. peritoneal dialysis) and additional variables from the medical evidence form, including diabetes and hypertension as comorbidities distinct from causes of ESRD, and ESRD network, as the independent variables.\nStepwise logistic regression was used to model independent associations with Polycystic kidney disease, using the same variables as in linear regression.\nStepwise Cox Regression non-proportional hazards analysis modeled the association between polycystic kidney disease with all-cause mortality, controlling for the same variables as in linear regression above. Survival analysis compared all patients on the transplant waiting list, censoring patients for receipt of renal transplantation.\nSurvival time was calculated as the time from the date of the first listing for transplant until death, or latest available follow-up date or receipt of renal transplant. We did not remove patients from the category of listing for transplant if they were removed from this category at a later time, nor did we remove patients from the category of renal transplant recipient if they later experienced graft loss, in intent to treat fashion. Hierarchically well-formed models were used for assessment of interaction terms in all models.", "Of 348,615 patients who initiated ESRD therapy in the USRDS database from 1 April 1995 to 29 June 1999, 43,707 were subsequently entered on the renal transplant waiting list, of whom 40,493 were entered on the waiting list on or after 1 April 1995. Of these, 89% had sufficient information from the medical evidence form (2728) for hematocrit. The mean date of first ESRD service was 14 January 1997. The total study cohort had 12,127 recipients of cadaveric kidneys and 4200 recipients of living donor kidneys, in addition to wait-listed patients who did not receive transplants during the study period. The mean transplant date was 25 Dec 1997, and the most recent transplant date was 16 November 1999. The most recent follow-up date was 29 June 2001. Thus, the study had 51 months of accrual and 24 months of additional followup.\nFor patients with causes of ESRD other than PKD, median hematocrit in 1995 was 27.2 ± 5.3%, in 1996 27.4 ± 5.4%, in 1997 28.0 ± 5.4%, in 1998 28.8 ± 5.4%, and in 1999 30.5 ± 5.4%. There was significant increase in hematocrit by year in linear regression analysis (p < 0.01). For patients with ESRD due to PKD, median hematocrit in 1995 was 29.9 ± 5.7%, in 1996 29.6 ± 5.3%, in 1997 30.5 ± 5.4%, in 1998 30.9 ± 5.6%, and in 1999 31.3 ± 5.5%. There was also a significant increase in hematocrit by year for these patients in linear regression analysis (p < 0.01).\nTable 1 shows descriptive statistics of the study population, which were comparable to previous USRDS reports. The far right column shows results of logistic regression analysis of factors independently associated with polycystic kidney disease.\nFactors assessed in ESRD patients on the renal transplant waiting list who started dialysis on or after 1 April 1995–29 June 1999\nIn column one, data given as the number (% of total) or mean ± one standard deviation of patients with polycystic kidney disease who had the disease or factor. In column two, data are for all other ESRD patients. Odds ratios are the strength of the association of a disease or factor with polycystic kidney disease, with 1.0 being neutral. * = p < 0.01 vs. patients with all other causes of ESRD by Chi Square Test Ap < 0.01 vs. patients with all other causes of ESRD by Student's t-test Bcontrolled for all covariates listed in methods section. Only results with statistical significance (p < 0.01) are shown.\nTable 2 shows results of linear regression analysis of factors associated with Hematocrit, while Table 3 shows results of linear regression analysis of factors associated with hemoglobin.\nLinear regression analysis of factors associated with hematocrit level\nDialysis modality was obtained from the Medical Evidence form (HCFA 2728), and was therefore only available for patients who started on ESRD therapy on or after 1995. Only variables that were significant in univariate analysis are shown.\nFigure 1 shows unadjusted survival stratified by patients with ESRD due to Polycystic kidney disease, diabetes, and all other causes (excluding Polycystic kidney disease and diabetes). Polycystic kidney disease was associated with statistically significant reduced mortality (p < 0.001 by Log Rank Test) vs. either diabetics or non-diabetics. The hazard ratio for patients with Polycystic kidney disease was 0.64, 95% CI 0.53–0.77, p < 0.001 in Cox Regression. Figure 3 shows a survival plot of patients with Polycystic kidney disease vs. all other ESRD patients, excluding those with ESRD due to diabetes. Compared to non-diabetic ESRD patients, patients with Polycystic kidney disease had a hazard ratio for mortality of 0.68, 95% CI 0.56–0.82, p = 0.001.\nUnadjusted survival, by cause of ESRD, patients on the renal transplant waiting list. U.S. Patients on the renal transplant waiting list, who started dialysis from 1 April 1995-29 June 1999, N = 40,493. 1 = Patients with Polycystic kidney disease, 2 = patients without Polycystic kidney disease or diabetes, 3 = patients with diabetes. All diseases listed are as causes of end stage renal disease.", "The present study confirms an association between elevated hematocrit, hemoglobin, and Polycystic kidney disease in a cohort of ESRD disease patients on the renal transplant waiting list. The association between increased hematocrit and polycystic kidney disease was initially noted in small observational studies, which noted higher erythropoietin levels and reticulocyte counts in patients with Polycystic kidney disease as well. [5,6] and later confirmed in registry studies of peritoneal dialysis patients. [7] Although other authors have noted an increase in hematocrit with increasing time on dialysis, [8] the present study was only able to measure hematocrit at the start of dialysis, prior to usual initiation of erythropoietin, although a substantial number of wait-listed patients received pre-dialysis erythropoietin. Regardless, the study again confirms that the survival advantage of Polycystic kidney disease was independent of hematocrit or hemoglobin at the start of dialysis, and in fact was independent of all measured factors. The present study is in agreement with previous reports of positive outcomes of peritoneal dialysis in patients with polycystic kidney. [1,9,10]\nAs we have previously reported, the reasons for the comparatively good survival experienced by patients with polycystic kidney disease are unclear, since these patients have known extrarenal manifestations that may impact longterm survival. While these extrarenal manifestations are emphasized in renal textbooks and training exams, they do not appear to be as significant as the extrarenal manifestations (ie, comorbidity) associated with other diseases causing ESRD, predominantly diabetes and hypertension, as shown in Table 1.\nIn contrast to our previous study, the present study found that hematocrit was significant in multivariate as well as univariate analysis of factors associated with Polycystic kidney disease. In contrast, the present study did not find significant negative associations between Polycystic kidney disease and either cerebrovascular accident, use of pre-dialysis erythropoietin, or hemodialysis, as was noted in our previous analysis. This is most likely due to changes in population characteristics (the previous study included all patients with end stage renal disease) and the much more complete proportion of patients with evidence from the CMS Form 2728 in the present study (100%). However, it is notable that hemodialysis was still not more commonly used in Polycystic kidney disease, in contrast to general recommendations, [11] although this recommendation has not been universal. [12] Peritoneal dialysis has been a more frequent modality in patients with polycystic kidney disease than in patients with other causes of ESRD in the last several USRDS reports. However, this association has not previously been demonstrated corrected for age and other factors.\nThe limitations of the current study are similar to those of other retrospective studies. Variables not available in the USRDS were as stated in the methods section. Residual confounding may have persisted beyond the ability of statistical adjustment to correct. We were unable to follow laboratory values, particularly hematocrit, over time. Radiographic findings could not be confirmed. The USRDS did not distinguish between PKD1 and PKD2 or other genetic presentations of autosomal dominant polycystic kidney disease. The limitations of the CMS Form 2728 have been reviewed, [4] but the accuracy of this form is greatest for cardiovascular disease, which is the leading causes of death in the dialysis population. The population-based nature of this study minimized issues of selection and center bias. Our comparison of Polycystic kidney disease patients with other patients on the renal transplant waiting list, in addition to information on comorbidity and laboratory data, minimized issues of selection bias as much as a registry study is likely to be able. However, this very selection introduces problems with generalizability, and the results of the present study apply to patients on the renal transplant waiting list, not all patients with end stage renal disease.\nIn summary, the mean hematocrit of patients with polycystic kidney disease was significantly higher at presentation to ESRD than for patients with other causes of ESRD on the renal transplant waiting list, despite a significant overall increase in such levels in more recent years of the study. The survival advantage of patients with polycystic kidney disease compared to patients with other causes of ESRD was independent of other factors, including renal transplantation." ]
[ null, "methods", null, null ]
[ "Polycystic kidney disease", "Caucasian", "female", "EPO", "peritoneal dialysis", "transplantation", "complications", "dialysis", "USRDS", "age", "albumin", "hemoglobin", "weight", "dysrythmias", "mortality", "frequency" ]
Background: Polycystic kidney disease (PKD) has recently been associated with decreased mortality compared with non-diabetic end stage renal disease (ESRD) patients. [1] Because Hematocrit levels have been reported to be higher in PKD patients than in other patients with ESRD, it has been suggested that the survival of these patients may be related to their elevated Hematocrit levels. [2] Another recent study adjusted for the level of Hematocrit at initiation of dialysis, and found the survival benefit of PKD persisted. [3] However, because PKD patients are much more likely to be placed on the renal transplant waiting list and receive renal transplantation than other ESRD patients [1,3], it is possible this survival advantage may also be due to their younger age and better general health. It would be useful to know if the differences in Hematocrit and survival persisted in analysis limited to patients enrolled on the renal transplant waiting list. Therefore, we analyzed data from the standard analysis files of the 2000 United States Renal Data System (USRDS) database. Our objectives were to analyze differences in Hematocrit and hemoglobin between patients with PKD and other causes of ESRD, whether these differences have changed over time, and whether this or other factors are associated with their relative survival advantage in ESRD. Methods: We analyzed a national registry (the 2000 USRDS) in an historical cohort study of the association of Polycystic kidney disease with Hematocrit and patient survival among patients enrolled on the renal transplant waiting list. Information on comorbidity, as well as height and weight to calculate BMI, was obtained from the USRDS file SAF.MEDEVID. This file is derived from the Center for Medicare and Medicaid Studies (formerly HCFA) medical evidence form (2728) starting with a sample of ESRD patients prior to April 1995 and universal afterward, and has been validated for use in research. [4] We first selected patients who initiated ESRD therapy between 1 April 1995 to 29 June 1999 who had data sufficient to calculate hematocrit. From this cohort, we selected patients enrolled on the renal transplant waiting list, excluding any dates of listing prior to 1 April 1995. The date patients on the renal transplant waiting list first received a renal transplant was also extracted, also excluding any dates prior to 1 April 1995. Recipients of organs other than kidneys and of transplants without preceding dialysis were excluded. The variables included in the USRDS standard analysis files (SAF's), as well as data collection methods and validation studies, are listed at the USRDS website , under 'Researcher's Guide to the USRDS Database', Section E, 'Contents of all the SAF's' (Standard Analysis Files), and published in the USRDS. The demographics of the end stage renal disease population have been previously described (2001 USRDS report). Dialysis patients younger than age 65 are eligible for Medicare 90 days after starting dialysis, with a waiver granted to those choosing home therapies. Therefore, hospitalization and mortality data may be incomplete during the first 90 days after dialysis initiation for patients younger than 65, but start immediately after renal transplant. The file SAF.PATIENTS was used as the primary data set, including cause of renal disease (PDIS) and cause and date of patient death. SAF.RXHIST was used to obtain follow-up dates. The file SAF.TXWAIT contains the date patients in the above cohort were first placed on the transplant waiting list. The file SAF.MEDEVID includes data from the Medical Evidence Form (2728). The file SAF.TXUNOS included information on transplant donor type, pre-transplant dialysis, previous transplant, and multiple organ transplants. Files were merged using unique patient identifiers. Details on anthropometric measurements or nutritional parameters other than serum albumin were unavailable. No information on patient medications was available (for the entire cohort of patients) except for the use of pre-dialysis erythropoietin. The USRDS researcher's agreement specifically prohibits patient contact or chart review. All analyses were performed using SPSS 9.0 TM (SPSS, Inc., Chicago, IL). Files were merged and converted to SPSS files using DBMS/Copy (Conceptual Software, Houston, TX). Statistical significance was defined as p < 0.05. Univariate analysis was performed with Chi-square testing for categorical variables and Student's t-test for continuous variables. Variables with p < 0.10 in univariate analysis for a relationship with elevated BMI were entered into multivariable analysis as covariates. Continuous variables were examined for outliers, and values ≥ 3 SD from the mean were removed from analysis with the exception of height and weight, as above, as per prior reports. Stepwise linear regression was used to calculate the independent association of Polycystic kidney disease, adjusted for other factors, with both Hematocrit and hemoglobin levels. Factors included BMI, race, age, gender, year of first dialysis session, cause of end stage renal disease (diabetes, PKD, or other causes), dialysis type (hemodialysis vs. peritoneal dialysis) and additional variables from the medical evidence form, including diabetes and hypertension as comorbidities distinct from causes of ESRD, and ESRD network, as the independent variables. Stepwise logistic regression was used to model independent associations with Polycystic kidney disease, using the same variables as in linear regression. Stepwise Cox Regression non-proportional hazards analysis modeled the association between polycystic kidney disease with all-cause mortality, controlling for the same variables as in linear regression above. Survival analysis compared all patients on the transplant waiting list, censoring patients for receipt of renal transplantation. Survival time was calculated as the time from the date of the first listing for transplant until death, or latest available follow-up date or receipt of renal transplant. We did not remove patients from the category of listing for transplant if they were removed from this category at a later time, nor did we remove patients from the category of renal transplant recipient if they later experienced graft loss, in intent to treat fashion. Hierarchically well-formed models were used for assessment of interaction terms in all models. Results: Of 348,615 patients who initiated ESRD therapy in the USRDS database from 1 April 1995 to 29 June 1999, 43,707 were subsequently entered on the renal transplant waiting list, of whom 40,493 were entered on the waiting list on or after 1 April 1995. Of these, 89% had sufficient information from the medical evidence form (2728) for hematocrit. The mean date of first ESRD service was 14 January 1997. The total study cohort had 12,127 recipients of cadaveric kidneys and 4200 recipients of living donor kidneys, in addition to wait-listed patients who did not receive transplants during the study period. The mean transplant date was 25 Dec 1997, and the most recent transplant date was 16 November 1999. The most recent follow-up date was 29 June 2001. Thus, the study had 51 months of accrual and 24 months of additional followup. For patients with causes of ESRD other than PKD, median hematocrit in 1995 was 27.2 ± 5.3%, in 1996 27.4 ± 5.4%, in 1997 28.0 ± 5.4%, in 1998 28.8 ± 5.4%, and in 1999 30.5 ± 5.4%. There was significant increase in hematocrit by year in linear regression analysis (p < 0.01). For patients with ESRD due to PKD, median hematocrit in 1995 was 29.9 ± 5.7%, in 1996 29.6 ± 5.3%, in 1997 30.5 ± 5.4%, in 1998 30.9 ± 5.6%, and in 1999 31.3 ± 5.5%. There was also a significant increase in hematocrit by year for these patients in linear regression analysis (p < 0.01). Table 1 shows descriptive statistics of the study population, which were comparable to previous USRDS reports. The far right column shows results of logistic regression analysis of factors independently associated with polycystic kidney disease. Factors assessed in ESRD patients on the renal transplant waiting list who started dialysis on or after 1 April 1995–29 June 1999 In column one, data given as the number (% of total) or mean ± one standard deviation of patients with polycystic kidney disease who had the disease or factor. In column two, data are for all other ESRD patients. Odds ratios are the strength of the association of a disease or factor with polycystic kidney disease, with 1.0 being neutral. * = p < 0.01 vs. patients with all other causes of ESRD by Chi Square Test Ap < 0.01 vs. patients with all other causes of ESRD by Student's t-test Bcontrolled for all covariates listed in methods section. Only results with statistical significance (p < 0.01) are shown. Table 2 shows results of linear regression analysis of factors associated with Hematocrit, while Table 3 shows results of linear regression analysis of factors associated with hemoglobin. Linear regression analysis of factors associated with hematocrit level Dialysis modality was obtained from the Medical Evidence form (HCFA 2728), and was therefore only available for patients who started on ESRD therapy on or after 1995. Only variables that were significant in univariate analysis are shown. Figure 1 shows unadjusted survival stratified by patients with ESRD due to Polycystic kidney disease, diabetes, and all other causes (excluding Polycystic kidney disease and diabetes). Polycystic kidney disease was associated with statistically significant reduced mortality (p < 0.001 by Log Rank Test) vs. either diabetics or non-diabetics. The hazard ratio for patients with Polycystic kidney disease was 0.64, 95% CI 0.53–0.77, p < 0.001 in Cox Regression. Figure 3 shows a survival plot of patients with Polycystic kidney disease vs. all other ESRD patients, excluding those with ESRD due to diabetes. Compared to non-diabetic ESRD patients, patients with Polycystic kidney disease had a hazard ratio for mortality of 0.68, 95% CI 0.56–0.82, p = 0.001. Unadjusted survival, by cause of ESRD, patients on the renal transplant waiting list. U.S. Patients on the renal transplant waiting list, who started dialysis from 1 April 1995-29 June 1999, N = 40,493. 1 = Patients with Polycystic kidney disease, 2 = patients without Polycystic kidney disease or diabetes, 3 = patients with diabetes. All diseases listed are as causes of end stage renal disease. Discussion: The present study confirms an association between elevated hematocrit, hemoglobin, and Polycystic kidney disease in a cohort of ESRD disease patients on the renal transplant waiting list. The association between increased hematocrit and polycystic kidney disease was initially noted in small observational studies, which noted higher erythropoietin levels and reticulocyte counts in patients with Polycystic kidney disease as well. [5,6] and later confirmed in registry studies of peritoneal dialysis patients. [7] Although other authors have noted an increase in hematocrit with increasing time on dialysis, [8] the present study was only able to measure hematocrit at the start of dialysis, prior to usual initiation of erythropoietin, although a substantial number of wait-listed patients received pre-dialysis erythropoietin. Regardless, the study again confirms that the survival advantage of Polycystic kidney disease was independent of hematocrit or hemoglobin at the start of dialysis, and in fact was independent of all measured factors. The present study is in agreement with previous reports of positive outcomes of peritoneal dialysis in patients with polycystic kidney. [1,9,10] As we have previously reported, the reasons for the comparatively good survival experienced by patients with polycystic kidney disease are unclear, since these patients have known extrarenal manifestations that may impact longterm survival. While these extrarenal manifestations are emphasized in renal textbooks and training exams, they do not appear to be as significant as the extrarenal manifestations (ie, comorbidity) associated with other diseases causing ESRD, predominantly diabetes and hypertension, as shown in Table 1. In contrast to our previous study, the present study found that hematocrit was significant in multivariate as well as univariate analysis of factors associated with Polycystic kidney disease. In contrast, the present study did not find significant negative associations between Polycystic kidney disease and either cerebrovascular accident, use of pre-dialysis erythropoietin, or hemodialysis, as was noted in our previous analysis. This is most likely due to changes in population characteristics (the previous study included all patients with end stage renal disease) and the much more complete proportion of patients with evidence from the CMS Form 2728 in the present study (100%). However, it is notable that hemodialysis was still not more commonly used in Polycystic kidney disease, in contrast to general recommendations, [11] although this recommendation has not been universal. [12] Peritoneal dialysis has been a more frequent modality in patients with polycystic kidney disease than in patients with other causes of ESRD in the last several USRDS reports. However, this association has not previously been demonstrated corrected for age and other factors. The limitations of the current study are similar to those of other retrospective studies. Variables not available in the USRDS were as stated in the methods section. Residual confounding may have persisted beyond the ability of statistical adjustment to correct. We were unable to follow laboratory values, particularly hematocrit, over time. Radiographic findings could not be confirmed. The USRDS did not distinguish between PKD1 and PKD2 or other genetic presentations of autosomal dominant polycystic kidney disease. The limitations of the CMS Form 2728 have been reviewed, [4] but the accuracy of this form is greatest for cardiovascular disease, which is the leading causes of death in the dialysis population. The population-based nature of this study minimized issues of selection and center bias. Our comparison of Polycystic kidney disease patients with other patients on the renal transplant waiting list, in addition to information on comorbidity and laboratory data, minimized issues of selection bias as much as a registry study is likely to be able. However, this very selection introduces problems with generalizability, and the results of the present study apply to patients on the renal transplant waiting list, not all patients with end stage renal disease. In summary, the mean hematocrit of patients with polycystic kidney disease was significantly higher at presentation to ESRD than for patients with other causes of ESRD on the renal transplant waiting list, despite a significant overall increase in such levels in more recent years of the study. The survival advantage of patients with polycystic kidney disease compared to patients with other causes of ESRD was independent of other factors, including renal transplantation.
Background: The patient characteristics and mortality associated with autosomal dominant polycystic kidney disease (PKD) have not been characterized for a national sample of end stage renal disease (ESRD) patients on the renal transplant waiting list. Methods: 40,493 patients in the United States Renal Data System who were initiated on ESRD therapy between 1 April 1995 and 29 June 1999 and later enrolled on the renal transplant waiting list were analyzed in an historical cohort study of the relationship between hematocrit at the time of presentation to ESRD and survival (using Cox Regression) in patients with PKD as a cause of ESRD. Results: Hematocrit levels at presentation to ESRD increased significantly over more recent years of the study. Hematocrit rose in parallel in patients with and without PKD, but patients with PKD had consistently higher hemoglobin. PKD was independently associated with higher hematocrit in multiple linear regression analysis (p < 0.0001). In logistic regression, higher hematocrit was independently associated with PKD. In Cox Regression analysis, PKD was associated with statistically significant improved survival both in comparison with diabetic (hazard ratio, 0.64, 95% CI 0.53-0.77, p < 0.001) and non-diabetic (HR 0.68, 95% CI 0.56-0.82, p = 0.001) ESRD patients, adjusted for all other factors. Conclusions: Hematocrit at presentation to ESRD was significantly higher in patients with PKD compared with patients with other causes of ESRD. The survival advantage of PKD in ESRD persisted even adjusted for differences in hematocrit and in comparison with patients on the renal transplant waiting list.
Background: Polycystic kidney disease (PKD) has recently been associated with decreased mortality compared with non-diabetic end stage renal disease (ESRD) patients. [1] Because Hematocrit levels have been reported to be higher in PKD patients than in other patients with ESRD, it has been suggested that the survival of these patients may be related to their elevated Hematocrit levels. [2] Another recent study adjusted for the level of Hematocrit at initiation of dialysis, and found the survival benefit of PKD persisted. [3] However, because PKD patients are much more likely to be placed on the renal transplant waiting list and receive renal transplantation than other ESRD patients [1,3], it is possible this survival advantage may also be due to their younger age and better general health. It would be useful to know if the differences in Hematocrit and survival persisted in analysis limited to patients enrolled on the renal transplant waiting list. Therefore, we analyzed data from the standard analysis files of the 2000 United States Renal Data System (USRDS) database. Our objectives were to analyze differences in Hematocrit and hemoglobin between patients with PKD and other causes of ESRD, whether these differences have changed over time, and whether this or other factors are associated with their relative survival advantage in ESRD. Discussion: The pre-publication history for this paper can be accessed here:
Background: The patient characteristics and mortality associated with autosomal dominant polycystic kidney disease (PKD) have not been characterized for a national sample of end stage renal disease (ESRD) patients on the renal transplant waiting list. Methods: 40,493 patients in the United States Renal Data System who were initiated on ESRD therapy between 1 April 1995 and 29 June 1999 and later enrolled on the renal transplant waiting list were analyzed in an historical cohort study of the relationship between hematocrit at the time of presentation to ESRD and survival (using Cox Regression) in patients with PKD as a cause of ESRD. Results: Hematocrit levels at presentation to ESRD increased significantly over more recent years of the study. Hematocrit rose in parallel in patients with and without PKD, but patients with PKD had consistently higher hemoglobin. PKD was independently associated with higher hematocrit in multiple linear regression analysis (p < 0.0001). In logistic regression, higher hematocrit was independently associated with PKD. In Cox Regression analysis, PKD was associated with statistically significant improved survival both in comparison with diabetic (hazard ratio, 0.64, 95% CI 0.53-0.77, p < 0.001) and non-diabetic (HR 0.68, 95% CI 0.56-0.82, p = 0.001) ESRD patients, adjusted for all other factors. Conclusions: Hematocrit at presentation to ESRD was significantly higher in patients with PKD compared with patients with other causes of ESRD. The survival advantage of PKD in ESRD persisted even adjusted for differences in hematocrit and in comparison with patients on the renal transplant waiting list.
2,716
298
[ 240, 786, 778 ]
4
[ "patients", "disease", "kidney", "polycystic kidney", "polycystic", "polycystic kidney disease", "kidney disease", "renal", "esrd", "transplant" ]
[ "associations polycystic kidney", "diabetes polycystic kidney", "hemoglobin polycystic kidney", "hematocrit level dialysis", "renal transplantation survival" ]
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[CONTENT] Polycystic kidney disease | Caucasian | female | EPO | peritoneal dialysis | transplantation | complications | dialysis | USRDS | age | albumin | hemoglobin | weight | dysrythmias | mortality | frequency [SUMMARY]
[CONTENT] Polycystic kidney disease | Caucasian | female | EPO | peritoneal dialysis | transplantation | complications | dialysis | USRDS | age | albumin | hemoglobin | weight | dysrythmias | mortality | frequency [SUMMARY]
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[CONTENT] Polycystic kidney disease | Caucasian | female | EPO | peritoneal dialysis | transplantation | complications | dialysis | USRDS | age | albumin | hemoglobin | weight | dysrythmias | mortality | frequency [SUMMARY]
[CONTENT] Polycystic kidney disease | Caucasian | female | EPO | peritoneal dialysis | transplantation | complications | dialysis | USRDS | age | albumin | hemoglobin | weight | dysrythmias | mortality | frequency [SUMMARY]
[CONTENT] Polycystic kidney disease | Caucasian | female | EPO | peritoneal dialysis | transplantation | complications | dialysis | USRDS | age | albumin | hemoglobin | weight | dysrythmias | mortality | frequency [SUMMARY]
[CONTENT] Female | Hematocrit | Humans | Kidney Failure, Chronic | Kidney Transplantation | Male | Middle Aged | Peritoneal Dialysis | Polycystic Kidney Diseases | Registries | Regression Analysis | Renal Dialysis | Survival Rate | United States | Waiting Lists [SUMMARY]
[CONTENT] Female | Hematocrit | Humans | Kidney Failure, Chronic | Kidney Transplantation | Male | Middle Aged | Peritoneal Dialysis | Polycystic Kidney Diseases | Registries | Regression Analysis | Renal Dialysis | Survival Rate | United States | Waiting Lists [SUMMARY]
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[CONTENT] Female | Hematocrit | Humans | Kidney Failure, Chronic | Kidney Transplantation | Male | Middle Aged | Peritoneal Dialysis | Polycystic Kidney Diseases | Registries | Regression Analysis | Renal Dialysis | Survival Rate | United States | Waiting Lists [SUMMARY]
[CONTENT] Female | Hematocrit | Humans | Kidney Failure, Chronic | Kidney Transplantation | Male | Middle Aged | Peritoneal Dialysis | Polycystic Kidney Diseases | Registries | Regression Analysis | Renal Dialysis | Survival Rate | United States | Waiting Lists [SUMMARY]
[CONTENT] Female | Hematocrit | Humans | Kidney Failure, Chronic | Kidney Transplantation | Male | Middle Aged | Peritoneal Dialysis | Polycystic Kidney Diseases | Registries | Regression Analysis | Renal Dialysis | Survival Rate | United States | Waiting Lists [SUMMARY]
[CONTENT] associations polycystic kidney | diabetes polycystic kidney | hemoglobin polycystic kidney | hematocrit level dialysis | renal transplantation survival [SUMMARY]
[CONTENT] associations polycystic kidney | diabetes polycystic kidney | hemoglobin polycystic kidney | hematocrit level dialysis | renal transplantation survival [SUMMARY]
null
[CONTENT] associations polycystic kidney | diabetes polycystic kidney | hemoglobin polycystic kidney | hematocrit level dialysis | renal transplantation survival [SUMMARY]
[CONTENT] associations polycystic kidney | diabetes polycystic kidney | hemoglobin polycystic kidney | hematocrit level dialysis | renal transplantation survival [SUMMARY]
[CONTENT] associations polycystic kidney | diabetes polycystic kidney | hemoglobin polycystic kidney | hematocrit level dialysis | renal transplantation survival [SUMMARY]
[CONTENT] patients | disease | kidney | polycystic kidney | polycystic | polycystic kidney disease | kidney disease | renal | esrd | transplant [SUMMARY]
[CONTENT] patients | disease | kidney | polycystic kidney | polycystic | polycystic kidney disease | kidney disease | renal | esrd | transplant [SUMMARY]
null
[CONTENT] patients | disease | kidney | polycystic kidney | polycystic | polycystic kidney disease | kidney disease | renal | esrd | transplant [SUMMARY]
[CONTENT] patients | disease | kidney | polycystic kidney | polycystic | polycystic kidney disease | kidney disease | renal | esrd | transplant [SUMMARY]
[CONTENT] patients | disease | kidney | polycystic kidney | polycystic | polycystic kidney disease | kidney disease | renal | esrd | transplant [SUMMARY]
[CONTENT] patients | pkd | differences | hematocrit | renal | survival | esrd | differences hematocrit | hematocrit levels | pkd patients [SUMMARY]
[CONTENT] saf | patients | transplant | file | variables | renal | file saf | patient | dialysis | usrds [SUMMARY]
null
[CONTENT] patients | disease | polycystic | study | kidney | polycystic kidney | present study | present | kidney disease | polycystic kidney disease [SUMMARY]
[CONTENT] patients | disease | renal | esrd | polycystic kidney | polycystic | kidney | polycystic kidney disease | kidney disease | hematocrit [SUMMARY]
[CONTENT] patients | disease | renal | esrd | polycystic kidney | polycystic | kidney | polycystic kidney disease | kidney disease | hematocrit [SUMMARY]
[CONTENT] PKD | ESRD [SUMMARY]
[CONTENT] 40,493 | the United States | ESRD | between 1 April 1995 | 29 June 1999 | ESRD | PKD | ESRD [SUMMARY]
null
[CONTENT] ESRD | PKD | ESRD ||| PKD | ESRD [SUMMARY]
[CONTENT] PKD | ESRD ||| 40,493 | the United States | ESRD | between 1 April 1995 | 29 June 1999 | ESRD | PKD | ESRD ||| Hematocrit | ESRD | more recent years ||| Hematocrit | PKD | PKD ||| PKD ||| PKD ||| PKD | 0.64 | 95% | CI | 0.53-0.77 | p < 0.001 | 0.68 | 95% | CI | 0.56-0.82 | 0.001 ||| ESRD ||| Hematocrit | ESRD | PKD | ESRD ||| PKD | ESRD [SUMMARY]
[CONTENT] PKD | ESRD ||| 40,493 | the United States | ESRD | between 1 April 1995 | 29 June 1999 | ESRD | PKD | ESRD ||| Hematocrit | ESRD | more recent years ||| Hematocrit | PKD | PKD ||| PKD ||| PKD ||| PKD | 0.64 | 95% | CI | 0.53-0.77 | p < 0.001 | 0.68 | 95% | CI | 0.56-0.82 | 0.001 ||| ESRD ||| Hematocrit | ESRD | PKD | ESRD ||| PKD | ESRD [SUMMARY]
Assessment of quality of life in patients with chronic pancreatitis.
21959613
Quality of life (QOL) has increasingly become a factor in management decisions in patients with chronic diseases. Chronic pancreatitis (CP) is a debilitating disorder that causes not only pain and endo/exocrine insufficiency but is also connected with some social issues. The aim of this study was to assess QOL in patients with chronic pancreatitis in correlation with the disease activity or the environmental/social factors that can influence their well-being.
BACKGROUND
The study group comprised 43 patients with CP: M/F 37/6; mean age 47.9 ± 8.6; range: 30-74 yrs. The control group consisted of 40 healthy volunteers of comparable demographics. Different degrees of CP activity were defined using the Cambridge classification. Pain intensity and frequency were assessed using a pain index. QOL was assessed using the Short-Form-36 questionnaire.
MATERIAL/METHODS
Mean QOL scores in CP were lower compared to the control group in all SF-36 domains, particularly in general health perception, physical functioning, role-physical (p<0.001) and vitality (p<0.05). We observed correlation of QOL results and pain index in all domains, and number of the disease relapses and body weight in 5 out of 8 domains (p<0.001 and p<0.05, respectively). The worst QOL scores were obtained in retired patients, as well as in unemployed persons in almost all SF-36 domains (p<0.001).
RESULTS
Chronic pancreatitis significantly impairs patients' quality of life. Severity of abdominal pain, low body weight, and loss of work were the factors most closely associated with poor health status perception.
CONCLUSIONS
[ "Adult", "Aged", "Body Weight", "Female", "Humans", "Male", "Middle Aged", "Pain Measurement", "Pancreatitis, Chronic", "Poland", "Quality of Life", "Surveys and Questionnaires", "Unemployment" ]
3539476
Background
Chronic pancreatitis (CP) as a chronic and progressive condition requires a specific approach for quality of life (QOL) assessment. As a chronic disease with debilitating symptoms, consequences of diabetes mellitus, malabsorption and weight loss and possibility of complications (including cancer), CP severely affects QOL [1–3]. Numerous studies have shown the heterogeneous character of the disease, with the interaction of physical, psychological and social factors [1,4,5]. As long as the pathophysiological background of pain in CP remains uncertain, the management of CP patients is based on a trial and error approach. Commonly used therapeutic methods of treatment remain insufficient because patients’ quality of life is highly impaired [1–3]. Chronic pancreatitis cannot be cured and may require many clinical interventions and frequent hospitalization. Quality of life is the priority outcome measure in chronic untreatable diseases. This also requires a high level of patient-doctor communication and compliance. Alcohol abuse and disease-related unemployment have negative impacts on coping with the disease. Chronic pancreatitis affects all aspects of patients’ lives: work, leisure, travel and relationships. It is not surprising that the multidimensional approach should be taken with these patients [1–3]. It is well documented that quality of life is an important variable and should be measured in CP patients. However, the available data in this field are not comparable because different QOL assessment methods were used [1,4–6]. The aim of the study was to assess QOL in patients with chronic pancreatitis and the correlation with the disease activity and selected environmental/social factors.
null
null
Results
Among patients studied, most (23 patients, 53%) had normal weight (BMI 15–34; mean 23.1 kg/m2); 2 patients were obese, 13 were overweight and 5 had BMI under 18. Mean disease duration was 9 yrs (range 1–46), with 7.3 mean number of disease relapses (range 0–30). The Pain Index mean result was 3.3 points, with range between 0 to 8 points. Mean pain intensity was 2 points, and mean frequency was 1.5 using PI. Frequency and intensity varied greatly, from 0 to maximum (4 points). However, most patients had the smallest intensity and frequency, what is also seen in PI points – 11 patients with 0 points. Number of patients with CP scheduled for I degree according to Cambridge classification was 5 (12%); for II degree, 6 (14%); for III, 6 (14%); and for IV degree, 26 (60%). Mean QOL scores in CP were statistically lower compared to the control group in the following domains: physical functioning, role-physical, general health perception (p<0.001) and vitality (p<0.05) (74 vs. 95; 50 vs. 94; 45 vs. 69; 47 vs. 57; respectively) (Figure 1). Mean QOL scores in unemployed patients were statistically lower compared to working patients (p<0.001; p<0.05) (Figure 2). There was the negative correlation between mean QOL scores and pain index results in all SF-36 domains (Table 2). The number of the disease relapses was associated with QOL impairment in 5 of 8 SF-36 domains: role-physical, role-emotional, social-functioning, bodily-pain and general health perception. The QOL scores in the same 5 domains were positively correlated with body weight (BMI) (p<0.001; p<0.05, respectively) (Table 2). There was no statistical correlation between mean QOL scores and population demographic features (age, marital status, education level), CP etiology, smoking habits, disease duration and activity assessed using the Cambridge classification, history of surgical or endoscopic treatment, and coincidence of diabetes mellitus (Table 2).
Conclusions
Our study shows that chronic pancreatitis is associated with deterioration in quality of life. Severity of pain, low body weight, disease relapses and unemployment are the main factors adversely affecting QOL. Consequently, controlling the pain remains the main therapeutic challenge. Our findings suggest that pain represents the most important challenge for clinicians in everyday practice. Since there are many different potential causes of pain in CP, no single therapy is effective in all patients [15]. Recently, the role of the central nervous system appears to be important in the development of pain. Pain treatment should not focus solely on the pancreas, but also address medications with effects on the underlying pain mechanisms [19]. Using alternative therapies could be promising; yoga has proved to be a tool improving the QOL in CP [20]. More individual effective therapies should be used to improve physical and emotional QOL in these patients; social factors have a particularly negative impact on QOL. Interactive, educational patient and family support groups for people with pancreatitis are needed [21]. The information given by quality of life assessment should be routinely included in the work-up of patients affected by chronic pancreatitis to select those patients with severely impaired physical and mental scores, and to plan an intensive program of medical and psychological follow-up [22].
[ "Background" ]
[ "Chronic pancreatitis (CP) as a chronic and progressive condition requires a specific approach for quality of life (QOL) assessment. As a chronic disease with debilitating symptoms, consequences of diabetes mellitus, malabsorption and weight loss and possibility of complications (including cancer), CP severely affects QOL [1–3].\nNumerous studies have shown the heterogeneous character of the disease, with the interaction of physical, psychological and social factors [1,4,5].\nAs long as the pathophysiological background of pain in CP remains uncertain, the management of CP patients is based on a trial and error approach. Commonly used therapeutic methods of treatment remain insufficient because patients’ quality of life is highly impaired [1–3]. Chronic pancreatitis cannot be cured and may require many clinical interventions and frequent hospitalization. Quality of life is the priority outcome measure in chronic untreatable diseases. This also requires a high level of patient-doctor communication and compliance. Alcohol abuse and disease-related unemployment have negative impacts on coping with the disease. Chronic pancreatitis affects all aspects of patients’ lives: work, leisure, travel and relationships. It is not surprising that the multidimensional approach should be taken with these patients [1–3].\nIt is well documented that quality of life is an important variable and should be measured in CP patients. However, the available data in this field are not comparable because different QOL assessment methods were used [1,4–6].\nThe aim of the study was to assess QOL in patients with chronic pancreatitis and the correlation with the disease activity and selected environmental/social factors." ]
[ null ]
[ "Background", "Material and Methods", "Results", "Discussion", "Conclusions" ]
[ "Chronic pancreatitis (CP) as a chronic and progressive condition requires a specific approach for quality of life (QOL) assessment. As a chronic disease with debilitating symptoms, consequences of diabetes mellitus, malabsorption and weight loss and possibility of complications (including cancer), CP severely affects QOL [1–3].\nNumerous studies have shown the heterogeneous character of the disease, with the interaction of physical, psychological and social factors [1,4,5].\nAs long as the pathophysiological background of pain in CP remains uncertain, the management of CP patients is based on a trial and error approach. Commonly used therapeutic methods of treatment remain insufficient because patients’ quality of life is highly impaired [1–3]. Chronic pancreatitis cannot be cured and may require many clinical interventions and frequent hospitalization. Quality of life is the priority outcome measure in chronic untreatable diseases. This also requires a high level of patient-doctor communication and compliance. Alcohol abuse and disease-related unemployment have negative impacts on coping with the disease. Chronic pancreatitis affects all aspects of patients’ lives: work, leisure, travel and relationships. It is not surprising that the multidimensional approach should be taken with these patients [1–3].\nIt is well documented that quality of life is an important variable and should be measured in CP patients. However, the available data in this field are not comparable because different QOL assessment methods were used [1,4–6].\nThe aim of the study was to assess QOL in patients with chronic pancreatitis and the correlation with the disease activity and selected environmental/social factors.", "The study group comprised 43 patients with CP: M/F 37/6; mean age 47.9±8.6; range: 30–74 yrs. Patients with chronic pancreatitis were recruited from those hospitalized in the Department of Digestive Tract Diseases, Medical University of Lodz, Poland.\nThe diagnosis of chronic pancreatitis was made by a combination of imaging, functional, pathologic and clinical findings. The degree of pancreatic damage was assessed using the Cambridge classification, where first degree (I) described less than 3 abnormal side branches of main duct; II – more than 3 abnormal side branches, III – abnormal main duct and branches and IV – plus 1 or more of: large cavities (>10 mm), gross gland enlargement (>2×), intraduct filling defects or calculi, duct obstruction, stricture or gross irregularity and contiguous organ invasion (7). In grades II and III there are 2 or more pathological signs according to computed tomography assessment: main duct enlarged (<4 mm), gland enlarged (<2×), cavities (<10mm), irregular ducts, duct wall echoes increased, irregular head contour [7].\nAlcohol etiology was diagnosed when alcohol intake exceeded 80 g per day for at least 5 years.\nQOL was assessed using 8 domains of the 36-item Short-Form Health Survey (SF-36), which is a short form measure of generic health status in the general population, designed for self-administration (8,9). SF-36 describes limitations in physical activity because of health problems (physical functioning -PF), limitations in social activities because of physical or emotional problems (social functioning – SF), limitations in usual role activities (role-physical – RP), presence of pain and limitations due to pain (bodily pain – BP), self-evaluation of personal health (general health perception – GH), psychological distress and well-being (mental health – MH), limitations in usual role activities because of emotional problems (role-emotional – RE), and energy and fatigue (vitality – VT). Scales range from 0–100, with higher scores indicating better functioning and well being [8,9].\nThe control group consisted of 40 healthy volunteers with matched demographic features. There is no Polish normative data using the SF-36 questionnaire. Pain assessment was performed according to Talley et al, who proposed a pain index (PI) – an additive model of pain frequency and intensity [5,10]. The frequency of abdominal pain attacks was described by 0–4 points: 0, once a year or less; 1, several times a year; 2, several times a month; 3, several times a week; and 4, daily. The intensity of abdominal pain was also described by 0–4 points from a UAS score: 0, no pain; 1, (1–25); 2, (26–50); 3, (51–75); and 4, (76–100), where 0 means no pain and 100 means the worst pain. The pain index was defined as the sum of points for frequency and intensity of abdominal pain [5,10].\nThe assessment interview and chart review recorded demographic data and disease history. The clinical and socio-demographic characteristics of the patients are shown in Table 1. The study was carried out in accordance with the Helsinki Declaration. The study protocol was approved by the local ethics committee of the Medical University of Lodz.\nStatistical analysis was performed using the F-Snedecor test, the T test, and the Cochran-Cox test.", "Among patients studied, most (23 patients, 53%) had normal weight (BMI 15–34; mean 23.1 kg/m2); 2 patients were obese, 13 were overweight and 5 had BMI under 18.\nMean disease duration was 9 yrs (range 1–46), with 7.3 mean number of disease relapses (range 0–30).\nThe Pain Index mean result was 3.3 points, with range between 0 to 8 points. Mean pain intensity was 2 points, and mean frequency was 1.5 using PI. Frequency and intensity varied greatly, from 0 to maximum (4 points). However, most patients had the smallest intensity and frequency, what is also seen in PI points – 11 patients with 0 points.\nNumber of patients with CP scheduled for I degree according to Cambridge classification was 5 (12%); for II degree, 6 (14%); for III, 6 (14%); and for IV degree, 26 (60%).\nMean QOL scores in CP were statistically lower compared to the control group in the following domains: physical functioning, role-physical, general health perception (p<0.001) and vitality (p<0.05) (74 vs. 95; 50 vs. 94; 45 vs. 69; 47 vs. 57; respectively) (Figure 1).\nMean QOL scores in unemployed patients were statistically lower compared to working patients (p<0.001; p<0.05) (Figure 2).\nThere was the negative correlation between mean QOL scores and pain index results in all SF-36 domains (Table 2).\nThe number of the disease relapses was associated with QOL impairment in 5 of 8 SF-36 domains: role-physical, role-emotional, social-functioning, bodily-pain and general health perception. The QOL scores in the same 5 domains were positively correlated with body weight (BMI) (p<0.001; p<0.05, respectively) (Table 2).\nThere was no statistical correlation between mean QOL scores and population demographic features (age, marital status, education level), CP etiology, smoking habits, disease duration and activity assessed using the Cambridge classification, history of surgical or endoscopic treatment, and coincidence of diabetes mellitus (Table 2).", "Our study confirmed that chronic pancreatitis has negative influences on patients’ quality of life. In addition, we have gained further insight into the relationship between disease status and QOL.\nWe used the SF-36 questionnaire, a generic instrument to assess QOL, validated in Poland [8,9]. The questionnaire has psychometric reliability, and content, convergent and discriminant validity and internal consistency when used in patients with many different disorders, including chronic pancreatitis [6,11,12].\nOur study revealed the deterioration of QOL in CP in all SF-36 domains compared to healthy controls, particularly in physical functioning, role-physical, general health perception and vitality domains.\nSimilar findings were presented in the study by Wehler et al, who conducted QOL assessment in a 265 CP patients. All domains of SF-36 were reduced when compared to the general population. Decrements were most pronounced in role limitations caused by physical and emotional health problems and general health perceptions [6]. Similar results were obtained by Pezzilli et al., who described general health, role-physical and vitality as the most impaired domains [4].\nThe pain item was a major concern of the patients studied. We observed significant negative correlation between mean QOL scores and pain index in all SF-36 domains.\nOur previous studies and most other similar studies have shown the significant pain-related impairment of QOL results, despite the fact that pain was measured in various ways [4,5,13]. Among the clinical factors examined by Pezzilli et al., only pain significantly decreased all 8 domains of SF-36 [4]. Similarly, in the study of Wehler et al, increasing severity of pancreatic pain significantly impaired QOL in all SF-36 domains [5].\nIt should be noted that Pezzilli et al. took into account the options pain/no pain, whereas in Wehler et al and in our study the pain index was used according to Talley et al. [4,5,10,14]. As there is a lack of good quantitative pain measurement in CP, we chose the pain index that provided a combined score representing pain intensity and frequency.\nThese results show how important the problem of pain is in CP and how often the management of these patients is not successful because the QOL is still impaired. There is not a direct relationship between abdominal pain and the presence of pathological structural changes of the pancreas. Since total pain relief is usually impossible, it is important to establish a solid doctor-patient communication. More effective individual therapies should be performed to control pain. Referral to a patient-based support group (e.g., National Pancreas Foundation) is helpful [15].\nThe structural pancreatic changes (according to the Cambridge classification) were not associated with QOL impairment. Similarly, other studies using SF-36 did not reveal any correlation between Cambridge stage and QOL scores [4,5]. Pezzilii et al. did not find any correlation in SF-36 scores and calcifications or pseudocysts and the presence of Wirsung duct dilatation [4,14]. When EORTC C30/PAN 26 (the specific instrument) was used, CP activity had influence on worse global health status, pain, nausea and vomiting, appetite loss, digestive symptoms, fear about future health, indigestion and taste changes items [13].\nDisease duration did not influence QOL, similar to other studies with SF-36 [4]. However, studies using the CP-specific measure showed QOL impairment due to disease duration in a few domains [13]. The possible reason for these differences is that SF-36 as a generic instrument may not indicate specific differences in CP signs and symptoms [13]. On the other hand, the number of disease relapses was associated with QOL impairment in 5 of 8 SF-36 domains. To our best knowledge, the impact of CP relapses on QOL has not been studied previously.\nDiabetes, which is a late consequence of CP, did not affect our QOL results, although other studies have shown its significant influence on QOL [14]. However, QOL in chronic pancreatitis is highly impaired due to the basic disease; it is possible that comorbidities such as diabetes do not add much to the final result.\nChronic diarrhea due to pancreatic exocrine insufficiency had an influence on the general health perception domain. Wehler et al. found that chronic diarrhea appeared to be an independent predictor of poor QOL results [5]. In our previous study using EORTC/PAN, diarrhea also had an impact on a few items: insomnia, altered bowel habit and diarrhea domains. In contrast, Pezzilli et al did not confirm these findings [13,14]. Therefore, early pancreatic enzymes replacement is recommended by numerous authors [15,16].\nLike other studies using the SF-36 questionnaire or EORTC/PAN26, our study did not reveal any differences in QOL according to surgical/endoscopic procedures [4,13,14]. However, the aim of this study was not to assess the effect of treatment of CP. Future studies should have long follow-up periods and the time between disease onset and evaluation should be also taken into consideration. Previous studies have observed less improvement after treatment when disease duration is longer [17].\nBMI score correlated positively with QOL role-physical, role-emotional, social-functioning, bodily-pain and general health perception domains. Similarly, low body weight independently contributed to the physical component score of the SF-36 and was the factor most closely associated with poor health status perception in the study by Wehler et al. [5].\nThe socioeconomic situation of the CP patients appeared to be unsatisfactory. Most (64% of patients) were under age 50 and the majority of them were retired or unemployed due to CP. Unemployment had a significant negative correlation with almost all SF-36 domains, with the exception of the mental health domain. Similarly, using EORTC QLQC30/PAN26, loss of work proved to have a negative influence on nausea and vomiting, insomnia and pancreatic pain domains [13].\nWehler et al demonstrated that unemployment and early disease-related retirement are independent and significant predictors of clinically important deterioration in most QOL domains [5]. In our population 44% of patients were retired due to CP, due to the requirements of the retirement system in Poland.\nIn a recent study by Gardner et al, out of a total of 111 CP patients only 37% were currently employed, 74% had their work lives altered by CP, 60% reported an effect on their social lives, and 46% reported an effect on their spouse/significant other relationship.\nRespondents reported that they had not been treated with respect and dignity, and had been labeled as an alcoholic or a drug seeker.\nThe authors concluded that chronic pancreatitis had a profound impact on employment patterns and comprehensive efforts are needed to improve the health care experience of patients with this disease [18].", "Our study shows that chronic pancreatitis is associated with deterioration in quality of life. Severity of pain, low body weight, disease relapses and unemployment are the main factors adversely affecting QOL. Consequently, controlling the pain remains the main therapeutic challenge. Our findings suggest that pain represents the most important challenge for clinicians in everyday practice. Since there are many different potential causes of pain in CP, no single therapy is effective in all patients [15]. Recently, the role of the central nervous system appears to be important in the development of pain. Pain treatment should not focus solely on the pancreas, but also address medications with effects on the underlying pain mechanisms [19]. Using alternative therapies could be promising; yoga has proved to be a tool improving the QOL in CP [20].\nMore individual effective therapies should be used to improve physical and emotional QOL in these patients; social factors have a particularly negative impact on QOL. Interactive, educational patient and family support groups for people with pancreatitis are needed [21].\nThe information given by quality of life assessment should be routinely included in the work-up of patients affected by chronic pancreatitis to select those patients with severely impaired physical and mental scores, and to plan an intensive program of medical and psychological follow-up [22]." ]
[ null, "materials|methods", "results", "discussion", "conclusions" ]
[ "chronic pancreatitis", "quality of life", "SF-36" ]
Background: Chronic pancreatitis (CP) as a chronic and progressive condition requires a specific approach for quality of life (QOL) assessment. As a chronic disease with debilitating symptoms, consequences of diabetes mellitus, malabsorption and weight loss and possibility of complications (including cancer), CP severely affects QOL [1–3]. Numerous studies have shown the heterogeneous character of the disease, with the interaction of physical, psychological and social factors [1,4,5]. As long as the pathophysiological background of pain in CP remains uncertain, the management of CP patients is based on a trial and error approach. Commonly used therapeutic methods of treatment remain insufficient because patients’ quality of life is highly impaired [1–3]. Chronic pancreatitis cannot be cured and may require many clinical interventions and frequent hospitalization. Quality of life is the priority outcome measure in chronic untreatable diseases. This also requires a high level of patient-doctor communication and compliance. Alcohol abuse and disease-related unemployment have negative impacts on coping with the disease. Chronic pancreatitis affects all aspects of patients’ lives: work, leisure, travel and relationships. It is not surprising that the multidimensional approach should be taken with these patients [1–3]. It is well documented that quality of life is an important variable and should be measured in CP patients. However, the available data in this field are not comparable because different QOL assessment methods were used [1,4–6]. The aim of the study was to assess QOL in patients with chronic pancreatitis and the correlation with the disease activity and selected environmental/social factors. Material and Methods: The study group comprised 43 patients with CP: M/F 37/6; mean age 47.9±8.6; range: 30–74 yrs. Patients with chronic pancreatitis were recruited from those hospitalized in the Department of Digestive Tract Diseases, Medical University of Lodz, Poland. The diagnosis of chronic pancreatitis was made by a combination of imaging, functional, pathologic and clinical findings. The degree of pancreatic damage was assessed using the Cambridge classification, where first degree (I) described less than 3 abnormal side branches of main duct; II – more than 3 abnormal side branches, III – abnormal main duct and branches and IV – plus 1 or more of: large cavities (>10 mm), gross gland enlargement (>2×), intraduct filling defects or calculi, duct obstruction, stricture or gross irregularity and contiguous organ invasion (7). In grades II and III there are 2 or more pathological signs according to computed tomography assessment: main duct enlarged (<4 mm), gland enlarged (<2×), cavities (<10mm), irregular ducts, duct wall echoes increased, irregular head contour [7]. Alcohol etiology was diagnosed when alcohol intake exceeded 80 g per day for at least 5 years. QOL was assessed using 8 domains of the 36-item Short-Form Health Survey (SF-36), which is a short form measure of generic health status in the general population, designed for self-administration (8,9). SF-36 describes limitations in physical activity because of health problems (physical functioning -PF), limitations in social activities because of physical or emotional problems (social functioning – SF), limitations in usual role activities (role-physical – RP), presence of pain and limitations due to pain (bodily pain – BP), self-evaluation of personal health (general health perception – GH), psychological distress and well-being (mental health – MH), limitations in usual role activities because of emotional problems (role-emotional – RE), and energy and fatigue (vitality – VT). Scales range from 0–100, with higher scores indicating better functioning and well being [8,9]. The control group consisted of 40 healthy volunteers with matched demographic features. There is no Polish normative data using the SF-36 questionnaire. Pain assessment was performed according to Talley et al, who proposed a pain index (PI) – an additive model of pain frequency and intensity [5,10]. The frequency of abdominal pain attacks was described by 0–4 points: 0, once a year or less; 1, several times a year; 2, several times a month; 3, several times a week; and 4, daily. The intensity of abdominal pain was also described by 0–4 points from a UAS score: 0, no pain; 1, (1–25); 2, (26–50); 3, (51–75); and 4, (76–100), where 0 means no pain and 100 means the worst pain. The pain index was defined as the sum of points for frequency and intensity of abdominal pain [5,10]. The assessment interview and chart review recorded demographic data and disease history. The clinical and socio-demographic characteristics of the patients are shown in Table 1. The study was carried out in accordance with the Helsinki Declaration. The study protocol was approved by the local ethics committee of the Medical University of Lodz. Statistical analysis was performed using the F-Snedecor test, the T test, and the Cochran-Cox test. Results: Among patients studied, most (23 patients, 53%) had normal weight (BMI 15–34; mean 23.1 kg/m2); 2 patients were obese, 13 were overweight and 5 had BMI under 18. Mean disease duration was 9 yrs (range 1–46), with 7.3 mean number of disease relapses (range 0–30). The Pain Index mean result was 3.3 points, with range between 0 to 8 points. Mean pain intensity was 2 points, and mean frequency was 1.5 using PI. Frequency and intensity varied greatly, from 0 to maximum (4 points). However, most patients had the smallest intensity and frequency, what is also seen in PI points – 11 patients with 0 points. Number of patients with CP scheduled for I degree according to Cambridge classification was 5 (12%); for II degree, 6 (14%); for III, 6 (14%); and for IV degree, 26 (60%). Mean QOL scores in CP were statistically lower compared to the control group in the following domains: physical functioning, role-physical, general health perception (p<0.001) and vitality (p<0.05) (74 vs. 95; 50 vs. 94; 45 vs. 69; 47 vs. 57; respectively) (Figure 1). Mean QOL scores in unemployed patients were statistically lower compared to working patients (p<0.001; p<0.05) (Figure 2). There was the negative correlation between mean QOL scores and pain index results in all SF-36 domains (Table 2). The number of the disease relapses was associated with QOL impairment in 5 of 8 SF-36 domains: role-physical, role-emotional, social-functioning, bodily-pain and general health perception. The QOL scores in the same 5 domains were positively correlated with body weight (BMI) (p<0.001; p<0.05, respectively) (Table 2). There was no statistical correlation between mean QOL scores and population demographic features (age, marital status, education level), CP etiology, smoking habits, disease duration and activity assessed using the Cambridge classification, history of surgical or endoscopic treatment, and coincidence of diabetes mellitus (Table 2). Discussion: Our study confirmed that chronic pancreatitis has negative influences on patients’ quality of life. In addition, we have gained further insight into the relationship between disease status and QOL. We used the SF-36 questionnaire, a generic instrument to assess QOL, validated in Poland [8,9]. The questionnaire has psychometric reliability, and content, convergent and discriminant validity and internal consistency when used in patients with many different disorders, including chronic pancreatitis [6,11,12]. Our study revealed the deterioration of QOL in CP in all SF-36 domains compared to healthy controls, particularly in physical functioning, role-physical, general health perception and vitality domains. Similar findings were presented in the study by Wehler et al, who conducted QOL assessment in a 265 CP patients. All domains of SF-36 were reduced when compared to the general population. Decrements were most pronounced in role limitations caused by physical and emotional health problems and general health perceptions [6]. Similar results were obtained by Pezzilli et al., who described general health, role-physical and vitality as the most impaired domains [4]. The pain item was a major concern of the patients studied. We observed significant negative correlation between mean QOL scores and pain index in all SF-36 domains. Our previous studies and most other similar studies have shown the significant pain-related impairment of QOL results, despite the fact that pain was measured in various ways [4,5,13]. Among the clinical factors examined by Pezzilli et al., only pain significantly decreased all 8 domains of SF-36 [4]. Similarly, in the study of Wehler et al, increasing severity of pancreatic pain significantly impaired QOL in all SF-36 domains [5]. It should be noted that Pezzilli et al. took into account the options pain/no pain, whereas in Wehler et al and in our study the pain index was used according to Talley et al. [4,5,10,14]. As there is a lack of good quantitative pain measurement in CP, we chose the pain index that provided a combined score representing pain intensity and frequency. These results show how important the problem of pain is in CP and how often the management of these patients is not successful because the QOL is still impaired. There is not a direct relationship between abdominal pain and the presence of pathological structural changes of the pancreas. Since total pain relief is usually impossible, it is important to establish a solid doctor-patient communication. More effective individual therapies should be performed to control pain. Referral to a patient-based support group (e.g., National Pancreas Foundation) is helpful [15]. The structural pancreatic changes (according to the Cambridge classification) were not associated with QOL impairment. Similarly, other studies using SF-36 did not reveal any correlation between Cambridge stage and QOL scores [4,5]. Pezzilii et al. did not find any correlation in SF-36 scores and calcifications or pseudocysts and the presence of Wirsung duct dilatation [4,14]. When EORTC C30/PAN 26 (the specific instrument) was used, CP activity had influence on worse global health status, pain, nausea and vomiting, appetite loss, digestive symptoms, fear about future health, indigestion and taste changes items [13]. Disease duration did not influence QOL, similar to other studies with SF-36 [4]. However, studies using the CP-specific measure showed QOL impairment due to disease duration in a few domains [13]. The possible reason for these differences is that SF-36 as a generic instrument may not indicate specific differences in CP signs and symptoms [13]. On the other hand, the number of disease relapses was associated with QOL impairment in 5 of 8 SF-36 domains. To our best knowledge, the impact of CP relapses on QOL has not been studied previously. Diabetes, which is a late consequence of CP, did not affect our QOL results, although other studies have shown its significant influence on QOL [14]. However, QOL in chronic pancreatitis is highly impaired due to the basic disease; it is possible that comorbidities such as diabetes do not add much to the final result. Chronic diarrhea due to pancreatic exocrine insufficiency had an influence on the general health perception domain. Wehler et al. found that chronic diarrhea appeared to be an independent predictor of poor QOL results [5]. In our previous study using EORTC/PAN, diarrhea also had an impact on a few items: insomnia, altered bowel habit and diarrhea domains. In contrast, Pezzilli et al did not confirm these findings [13,14]. Therefore, early pancreatic enzymes replacement is recommended by numerous authors [15,16]. Like other studies using the SF-36 questionnaire or EORTC/PAN26, our study did not reveal any differences in QOL according to surgical/endoscopic procedures [4,13,14]. However, the aim of this study was not to assess the effect of treatment of CP. Future studies should have long follow-up periods and the time between disease onset and evaluation should be also taken into consideration. Previous studies have observed less improvement after treatment when disease duration is longer [17]. BMI score correlated positively with QOL role-physical, role-emotional, social-functioning, bodily-pain and general health perception domains. Similarly, low body weight independently contributed to the physical component score of the SF-36 and was the factor most closely associated with poor health status perception in the study by Wehler et al. [5]. The socioeconomic situation of the CP patients appeared to be unsatisfactory. Most (64% of patients) were under age 50 and the majority of them were retired or unemployed due to CP. Unemployment had a significant negative correlation with almost all SF-36 domains, with the exception of the mental health domain. Similarly, using EORTC QLQC30/PAN26, loss of work proved to have a negative influence on nausea and vomiting, insomnia and pancreatic pain domains [13]. Wehler et al demonstrated that unemployment and early disease-related retirement are independent and significant predictors of clinically important deterioration in most QOL domains [5]. In our population 44% of patients were retired due to CP, due to the requirements of the retirement system in Poland. In a recent study by Gardner et al, out of a total of 111 CP patients only 37% were currently employed, 74% had their work lives altered by CP, 60% reported an effect on their social lives, and 46% reported an effect on their spouse/significant other relationship. Respondents reported that they had not been treated with respect and dignity, and had been labeled as an alcoholic or a drug seeker. The authors concluded that chronic pancreatitis had a profound impact on employment patterns and comprehensive efforts are needed to improve the health care experience of patients with this disease [18]. Conclusions: Our study shows that chronic pancreatitis is associated with deterioration in quality of life. Severity of pain, low body weight, disease relapses and unemployment are the main factors adversely affecting QOL. Consequently, controlling the pain remains the main therapeutic challenge. Our findings suggest that pain represents the most important challenge for clinicians in everyday practice. Since there are many different potential causes of pain in CP, no single therapy is effective in all patients [15]. Recently, the role of the central nervous system appears to be important in the development of pain. Pain treatment should not focus solely on the pancreas, but also address medications with effects on the underlying pain mechanisms [19]. Using alternative therapies could be promising; yoga has proved to be a tool improving the QOL in CP [20]. More individual effective therapies should be used to improve physical and emotional QOL in these patients; social factors have a particularly negative impact on QOL. Interactive, educational patient and family support groups for people with pancreatitis are needed [21]. The information given by quality of life assessment should be routinely included in the work-up of patients affected by chronic pancreatitis to select those patients with severely impaired physical and mental scores, and to plan an intensive program of medical and psychological follow-up [22].
Background: Quality of life (QOL) has increasingly become a factor in management decisions in patients with chronic diseases. Chronic pancreatitis (CP) is a debilitating disorder that causes not only pain and endo/exocrine insufficiency but is also connected with some social issues. The aim of this study was to assess QOL in patients with chronic pancreatitis in correlation with the disease activity or the environmental/social factors that can influence their well-being. Methods: The study group comprised 43 patients with CP: M/F 37/6; mean age 47.9 ± 8.6; range: 30-74 yrs. The control group consisted of 40 healthy volunteers of comparable demographics. Different degrees of CP activity were defined using the Cambridge classification. Pain intensity and frequency were assessed using a pain index. QOL was assessed using the Short-Form-36 questionnaire. Results: Mean QOL scores in CP were lower compared to the control group in all SF-36 domains, particularly in general health perception, physical functioning, role-physical (p<0.001) and vitality (p<0.05). We observed correlation of QOL results and pain index in all domains, and number of the disease relapses and body weight in 5 out of 8 domains (p<0.001 and p<0.05, respectively). The worst QOL scores were obtained in retired patients, as well as in unemployed persons in almost all SF-36 domains (p<0.001). Conclusions: Chronic pancreatitis significantly impairs patients' quality of life. Severity of abdominal pain, low body weight, and loss of work were the factors most closely associated with poor health status perception.
Background: Chronic pancreatitis (CP) as a chronic and progressive condition requires a specific approach for quality of life (QOL) assessment. As a chronic disease with debilitating symptoms, consequences of diabetes mellitus, malabsorption and weight loss and possibility of complications (including cancer), CP severely affects QOL [1–3]. Numerous studies have shown the heterogeneous character of the disease, with the interaction of physical, psychological and social factors [1,4,5]. As long as the pathophysiological background of pain in CP remains uncertain, the management of CP patients is based on a trial and error approach. Commonly used therapeutic methods of treatment remain insufficient because patients’ quality of life is highly impaired [1–3]. Chronic pancreatitis cannot be cured and may require many clinical interventions and frequent hospitalization. Quality of life is the priority outcome measure in chronic untreatable diseases. This also requires a high level of patient-doctor communication and compliance. Alcohol abuse and disease-related unemployment have negative impacts on coping with the disease. Chronic pancreatitis affects all aspects of patients’ lives: work, leisure, travel and relationships. It is not surprising that the multidimensional approach should be taken with these patients [1–3]. It is well documented that quality of life is an important variable and should be measured in CP patients. However, the available data in this field are not comparable because different QOL assessment methods were used [1,4–6]. The aim of the study was to assess QOL in patients with chronic pancreatitis and the correlation with the disease activity and selected environmental/social factors. Conclusions: Our study shows that chronic pancreatitis is associated with deterioration in quality of life. Severity of pain, low body weight, disease relapses and unemployment are the main factors adversely affecting QOL. Consequently, controlling the pain remains the main therapeutic challenge. Our findings suggest that pain represents the most important challenge for clinicians in everyday practice. Since there are many different potential causes of pain in CP, no single therapy is effective in all patients [15]. Recently, the role of the central nervous system appears to be important in the development of pain. Pain treatment should not focus solely on the pancreas, but also address medications with effects on the underlying pain mechanisms [19]. Using alternative therapies could be promising; yoga has proved to be a tool improving the QOL in CP [20]. More individual effective therapies should be used to improve physical and emotional QOL in these patients; social factors have a particularly negative impact on QOL. Interactive, educational patient and family support groups for people with pancreatitis are needed [21]. The information given by quality of life assessment should be routinely included in the work-up of patients affected by chronic pancreatitis to select those patients with severely impaired physical and mental scores, and to plan an intensive program of medical and psychological follow-up [22].
Background: Quality of life (QOL) has increasingly become a factor in management decisions in patients with chronic diseases. Chronic pancreatitis (CP) is a debilitating disorder that causes not only pain and endo/exocrine insufficiency but is also connected with some social issues. The aim of this study was to assess QOL in patients with chronic pancreatitis in correlation with the disease activity or the environmental/social factors that can influence their well-being. Methods: The study group comprised 43 patients with CP: M/F 37/6; mean age 47.9 ± 8.6; range: 30-74 yrs. The control group consisted of 40 healthy volunteers of comparable demographics. Different degrees of CP activity were defined using the Cambridge classification. Pain intensity and frequency were assessed using a pain index. QOL was assessed using the Short-Form-36 questionnaire. Results: Mean QOL scores in CP were lower compared to the control group in all SF-36 domains, particularly in general health perception, physical functioning, role-physical (p<0.001) and vitality (p<0.05). We observed correlation of QOL results and pain index in all domains, and number of the disease relapses and body weight in 5 out of 8 domains (p<0.001 and p<0.05, respectively). The worst QOL scores were obtained in retired patients, as well as in unemployed persons in almost all SF-36 domains (p<0.001). Conclusions: Chronic pancreatitis significantly impairs patients' quality of life. Severity of abdominal pain, low body weight, and loss of work were the factors most closely associated with poor health status perception.
2,978
303
[ 300 ]
5
[ "pain", "qol", "patients", "cp", "sf", "disease", "36", "sf 36", "health", "domains" ]
[ "chronic pancreatitis cp", "pancreatitis cp chronic", "chronic pancreatitis profound", "impaired chronic pancreatitis", "chronic pancreatitis affects" ]
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[CONTENT] chronic pancreatitis | quality of life | SF-36 [SUMMARY]
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[CONTENT] chronic pancreatitis | quality of life | SF-36 [SUMMARY]
[CONTENT] chronic pancreatitis | quality of life | SF-36 [SUMMARY]
[CONTENT] chronic pancreatitis | quality of life | SF-36 [SUMMARY]
[CONTENT] chronic pancreatitis | quality of life | SF-36 [SUMMARY]
[CONTENT] Adult | Aged | Body Weight | Female | Humans | Male | Middle Aged | Pain Measurement | Pancreatitis, Chronic | Poland | Quality of Life | Surveys and Questionnaires | Unemployment [SUMMARY]
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[CONTENT] Adult | Aged | Body Weight | Female | Humans | Male | Middle Aged | Pain Measurement | Pancreatitis, Chronic | Poland | Quality of Life | Surveys and Questionnaires | Unemployment [SUMMARY]
[CONTENT] Adult | Aged | Body Weight | Female | Humans | Male | Middle Aged | Pain Measurement | Pancreatitis, Chronic | Poland | Quality of Life | Surveys and Questionnaires | Unemployment [SUMMARY]
[CONTENT] Adult | Aged | Body Weight | Female | Humans | Male | Middle Aged | Pain Measurement | Pancreatitis, Chronic | Poland | Quality of Life | Surveys and Questionnaires | Unemployment [SUMMARY]
[CONTENT] Adult | Aged | Body Weight | Female | Humans | Male | Middle Aged | Pain Measurement | Pancreatitis, Chronic | Poland | Quality of Life | Surveys and Questionnaires | Unemployment [SUMMARY]
[CONTENT] chronic pancreatitis cp | pancreatitis cp chronic | chronic pancreatitis profound | impaired chronic pancreatitis | chronic pancreatitis affects [SUMMARY]
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[CONTENT] chronic pancreatitis cp | pancreatitis cp chronic | chronic pancreatitis profound | impaired chronic pancreatitis | chronic pancreatitis affects [SUMMARY]
[CONTENT] chronic pancreatitis cp | pancreatitis cp chronic | chronic pancreatitis profound | impaired chronic pancreatitis | chronic pancreatitis affects [SUMMARY]
[CONTENT] chronic pancreatitis cp | pancreatitis cp chronic | chronic pancreatitis profound | impaired chronic pancreatitis | chronic pancreatitis affects [SUMMARY]
[CONTENT] chronic pancreatitis cp | pancreatitis cp chronic | chronic pancreatitis profound | impaired chronic pancreatitis | chronic pancreatitis affects [SUMMARY]
[CONTENT] pain | qol | patients | cp | sf | disease | 36 | sf 36 | health | domains [SUMMARY]
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[CONTENT] pain | qol | patients | cp | sf | disease | 36 | sf 36 | health | domains [SUMMARY]
[CONTENT] pain | qol | patients | cp | sf | disease | 36 | sf 36 | health | domains [SUMMARY]
[CONTENT] pain | qol | patients | cp | sf | disease | 36 | sf 36 | health | domains [SUMMARY]
[CONTENT] pain | qol | patients | cp | sf | disease | 36 | sf 36 | health | domains [SUMMARY]
[CONTENT] chronic | approach | patients | quality | life | quality life | disease | cp | chronic pancreatitis | pancreatitis [SUMMARY]
null
[CONTENT] mean | points | qol scores | vs | patients | mean qol | mean qol scores | 05 | 001 | qol [SUMMARY]
[CONTENT] pain | challenge | patients | qol | pancreatitis | main | therapies | effective | important | factors [SUMMARY]
[CONTENT] pain | patients | qol | cp | chronic | health | 36 | sf | disease | domains [SUMMARY]
[CONTENT] pain | patients | qol | cp | chronic | health | 36 | sf | disease | domains [SUMMARY]
[CONTENT] QOL ||| ||| QOL [SUMMARY]
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[CONTENT] QOL | CP | p<0.05 ||| QOL | 5 | 8 | p<0.05 ||| QOL | SF-36 [SUMMARY]
[CONTENT] ||| [SUMMARY]
[CONTENT] QOL ||| ||| QOL ||| 43 | age 47.9 | 8.6 | 30-74 ||| 40 ||| Cambridge ||| ||| QOL ||| ||| QOL | CP | p<0.05 ||| QOL | 5 | 8 | p<0.05 ||| QOL | SF-36 ||| ||| [SUMMARY]
[CONTENT] QOL ||| ||| QOL ||| 43 | age 47.9 | 8.6 | 30-74 ||| 40 ||| Cambridge ||| ||| QOL ||| ||| QOL | CP | p<0.05 ||| QOL | 5 | 8 | p<0.05 ||| QOL | SF-36 ||| ||| [SUMMARY]
Obesity studies in the circumpolar Inuit: a scoping review.
22765938
Among circumpolar populations, recent research has documented a significant increase in risk factors which are commonly associated with chronic disease, notably obesity.
BACKGROUND
Online databases were used to identify papers published 1992-2011, from which we selected 38 publications from Canada, the United States, and Greenland that used obesity as a primary or secondary outcome variable in 30 or more non-pregnant Inuit ("Eskimo") participants aged 2 years or older.
DESIGN
The majority of publications (92%) reported cross-sectional studies while 8% examined retrospective cohorts. All but one of the studies collected measured data. Overall 84% of the publications examined obesity in adults. Those examining obesity in children focused on early childhood or adolescence. While most (66%) reported 1 or more anthropometric indices, none incorporated direct measures of adiposity. Evaluated using a customized quality assessment instrument, 26% of studies achieved an "A" quality ranking, while 18 and 39% achieved quality rankings of "B" and "C", respectively.
RESULTS
While the quality of studies is generally high, research on obesity among Inuit would benefit from careful selection of methods and reference standards, direct measures of adiposity in adults and children, studies of preadolescent children, and prospective cohort studies linking early childhood exposures with obesity outcomes throughout childhood and adolescence.
CONCLUSIONS
[ "Adolescent", "Adult", "Aged", "Arctic Regions", "Canada", "Child", "Child, Preschool", "Female", "Humans", "Inuit", "Male", "Middle Aged", "Obesity", "Young Adult" ]
4981754
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Materials and methods
Target population Our populations of interest are collectively referred to as Inuit, which extend from the Chukotka peninsula in Russia across Alaska and northern Canada to Greenland. They are known by a variety of self-designated names in different regions (including Yuit, Yupik, Inupiat, Inuvialuit, Inuit and Kalaallit). Our search revealed no English-language studies of obesity on Inuit living in Russia and they are excluded from our scoping review. Our populations of interest are collectively referred to as Inuit, which extend from the Chukotka peninsula in Russia across Alaska and northern Canada to Greenland. They are known by a variety of self-designated names in different regions (including Yuit, Yupik, Inupiat, Inuvialuit, Inuit and Kalaallit). Our search revealed no English-language studies of obesity on Inuit living in Russia and they are excluded from our scoping review. Research questions In 2005 Arksey and O'Malley (15) published a methodological framework which presented 4 purposes for which a scoping review is appropriate:To examine the extent, range and nature of research activity.To determine the value of undertaking a full systematic review.To summarize and disseminate research findings.To identify research gaps in the existing literature.In a subsequent evaluation of the application of this framework, Levac et al. (16) recommended that researchers add clarity and direction by clearly articulating research questions that guide the scope of the review, specifying concepts, target populations and health outcomes of interest, an approach which we have adopted in our study. To examine the extent, range and nature of research activity. To determine the value of undertaking a full systematic review. To summarize and disseminate research findings. To identify research gaps in the existing literature. The present study centres on the first purpose, namely to explore the extent, range and nature of research activity on obesity in the circumpolar Inuit: To what extent has obesity research been undertaken in the circumpolar context? Are all subpopulations and geographic areas represented? What methodologies are employed and are they sufficient to the task of describing risk factors, prevalence and health outcomes associated with obesity? Our study also addresses the third and fourth purposes: What is the prevalence of obesity? What temporal trends, environmental risk factors and health outcomes are associated with obesity in this population? Finally, we undertake comprehensive assessment of the field as a whole and identify gaps in the existing literature: What subgroups of this population are under-researched, what methodologies are underutilized, and what further research is needed? In 2005 Arksey and O'Malley (15) published a methodological framework which presented 4 purposes for which a scoping review is appropriate:To examine the extent, range and nature of research activity.To determine the value of undertaking a full systematic review.To summarize and disseminate research findings.To identify research gaps in the existing literature.In a subsequent evaluation of the application of this framework, Levac et al. (16) recommended that researchers add clarity and direction by clearly articulating research questions that guide the scope of the review, specifying concepts, target populations and health outcomes of interest, an approach which we have adopted in our study. To examine the extent, range and nature of research activity. To determine the value of undertaking a full systematic review. To summarize and disseminate research findings. To identify research gaps in the existing literature. The present study centres on the first purpose, namely to explore the extent, range and nature of research activity on obesity in the circumpolar Inuit: To what extent has obesity research been undertaken in the circumpolar context? Are all subpopulations and geographic areas represented? What methodologies are employed and are they sufficient to the task of describing risk factors, prevalence and health outcomes associated with obesity? Our study also addresses the third and fourth purposes: What is the prevalence of obesity? What temporal trends, environmental risk factors and health outcomes are associated with obesity in this population? Finally, we undertake comprehensive assessment of the field as a whole and identify gaps in the existing literature: What subgroups of this population are under-researched, what methodologies are underutilized, and what further research is needed? Definitions and search strategies We operationalized “obesity” as a condition defined by direct or indirect assessment of excess body fat or adiposity, including body mass index (BMI), various measures of abdominal obesity including waist circumference (WC) and waist-hip ratio (WHR), percent body fat and sum of skinfold thicknesses. We wanted to explore obesity in the widest possible age range. Both the Dietitians of Canada and the Canadian Pediatric Society recommend the use of BMI to screen for overweight and obesity in children 2 or more years of age (17), and a variety of guidelines exist for the identification of obesity in children 2 years and older (18–21). Under the age of 2 years, rapid growth and variety in feeding practices make it difficult to identify children at risk of obesity (21). We have therefore excluded studies of infants and children under 2 years. The online databases Cochrane Library, JSTOR, Medline, PubMed, Science Citation Index, Science Direct and Scopus were used to compile a list of English-language papers. Search terms included a combination of medical subject headings and keywords related to the inquiry: Greenlandic, Inuit, Eskimo, Inupiat, Alaska(n), Aboriginal, indigenous, health, overweight, obesity, adiposity, body fat, body mass index, waist circumference, waist-hip ratio, diabetes, metabolic disease. The websites of national and regional governments and health agencies were searched for relevant published and unpublished documents. The publication records of authors and the reference lists of identified papers were combed for additional related resources. Duplicate citations from the multiple databases were removed. The search identified 115 citations which were assembled in an online Refworks (Refworks-COS, Bethesda, MD) file available to members of the team throughout the review. We operationalized “obesity” as a condition defined by direct or indirect assessment of excess body fat or adiposity, including body mass index (BMI), various measures of abdominal obesity including waist circumference (WC) and waist-hip ratio (WHR), percent body fat and sum of skinfold thicknesses. We wanted to explore obesity in the widest possible age range. Both the Dietitians of Canada and the Canadian Pediatric Society recommend the use of BMI to screen for overweight and obesity in children 2 or more years of age (17), and a variety of guidelines exist for the identification of obesity in children 2 years and older (18–21). Under the age of 2 years, rapid growth and variety in feeding practices make it difficult to identify children at risk of obesity (21). We have therefore excluded studies of infants and children under 2 years. The online databases Cochrane Library, JSTOR, Medline, PubMed, Science Citation Index, Science Direct and Scopus were used to compile a list of English-language papers. Search terms included a combination of medical subject headings and keywords related to the inquiry: Greenlandic, Inuit, Eskimo, Inupiat, Alaska(n), Aboriginal, indigenous, health, overweight, obesity, adiposity, body fat, body mass index, waist circumference, waist-hip ratio, diabetes, metabolic disease. The websites of national and regional governments and health agencies were searched for relevant published and unpublished documents. The publication records of authors and the reference lists of identified papers were combed for additional related resources. Duplicate citations from the multiple databases were removed. The search identified 115 citations which were assembled in an online Refworks (Refworks-COS, Bethesda, MD) file available to members of the team throughout the review. Study selection Inclusion and exclusion criteria were developed based on the objectives of the research. Studies were included in the review on the following basis:The study was published during the 20-year period spanning 1992–2011.Participants were age 2 years or greater.Participants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms.The study included 30 or more participants.“Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor.The study was the result of primary research.Studies on diabetes or cardiovascular diseases were included only if obesity was studied as a risk factor and assessed through direct or indirect means. Studies that included pregnant women or focused on gestational diabetes were excluded. The study was published during the 20-year period spanning 1992–2011. Participants were age 2 years or greater. Participants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms. The study included 30 or more participants. “Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor. The study was the result of primary research. Study selection (Fig. 1) was conducted independently by both the principal reviewer (TG) and a second reviewer (HB). Inter-rater reliability was assessed by the Kappa statistic (K). The review team included authors of several of the papers identified in the literature search. These authors were excluded from selection, data extraction or quality assessment (QA) of their own papers. Flow chart describing study selection process. Inclusion and exclusion criteria were developed based on the objectives of the research. Studies were included in the review on the following basis:The study was published during the 20-year period spanning 1992–2011.Participants were age 2 years or greater.Participants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms.The study included 30 or more participants.“Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor.The study was the result of primary research.Studies on diabetes or cardiovascular diseases were included only if obesity was studied as a risk factor and assessed through direct or indirect means. Studies that included pregnant women or focused on gestational diabetes were excluded. The study was published during the 20-year period spanning 1992–2011. Participants were age 2 years or greater. Participants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms. The study included 30 or more participants. “Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor. The study was the result of primary research. Study selection (Fig. 1) was conducted independently by both the principal reviewer (TG) and a second reviewer (HB). Inter-rater reliability was assessed by the Kappa statistic (K). The review team included authors of several of the papers identified in the literature search. These authors were excluded from selection, data extraction or quality assessment (QA) of their own papers. Flow chart describing study selection process. Data extraction A customized data extraction instrument was developed to explore the scope of the available literature and to compare study design, methodology and results. The instrument summarizes study characteristics and findings, allows for expansion of sections relevant to each study under review, and permits comparisons across studies. Data collected were entered into a spreadsheet made available to the entire review team. A customized data extraction instrument was developed to explore the scope of the available literature and to compare study design, methodology and results. The instrument summarizes study characteristics and findings, allows for expansion of sections relevant to each study under review, and permits comparisons across studies. Data collected were entered into a spreadsheet made available to the entire review team. Quality assessment (QA) We undertook QA of all selected studies using a modified version of the STROBE instrument (22,23) (STrengthening the Reporting of OBservational studies in Epidemiology), a checklist of 22 items designed for cohort, case-control, and cross-sectional studies and intended as a tool to improve the consistency, quality and transparency of epidemiologic reporting. It is not designed to evaluate the quality of the research studies themselves (24,25). A review of 86 published QA instruments yielded no clear candidate for a generic QA tool as the majority of reviewers develop subject-specific instruments (26). We followed the recommendation of Sanderson et al. (26) and used the comprehensive STROBE statement as a starting point for our own QA instrument. However with its emphasis on reporting, STROBE may inflate the quality of studies which are methodologically weak due to small sample size or lack of geographic representativeness. We therefore incorporated elements from the Scottish Intercollegiate Guidelines Network (SIGN) (27) methodology checklist in the development of our QA instrument. The resulting instrument yields a numeric QA score with maximum values that range from 27 to 29 depending on study design. We calculated percentage scores based on the maximum score for each category of study design and classified results as follows: “A” studies (QA score >85%); “B” studies (QA score 76–85%); “C” studies (QA score 61–75%); and “D” studies (QA score≤60%). In accordance with recommendations (28), the QA was piloted prior to implementation. Two reviewers (TG and HB) performed QA on 4 randomly-selected studies (11% of those selected) and the results were compared using the K-statistic. Then QA was performed by one of the reviewers (either TG or HB) on each of the studies reviewed. We use the term “study” in this paper to refer to journal articles and reports. These publications ultimately were based on a far smaller number of research studies or projects conducted in specific regions and are thus not independent. Several publications from one study thus share the same methodological features of the parent study and only the reporting may differ. These publications may report on different “cuts” of the master dataset in terms of age–sex categories or other criteria. Furthermore, some publications report on the result of merging of the datasets of one or more of these studies. We undertook QA of all selected studies using a modified version of the STROBE instrument (22,23) (STrengthening the Reporting of OBservational studies in Epidemiology), a checklist of 22 items designed for cohort, case-control, and cross-sectional studies and intended as a tool to improve the consistency, quality and transparency of epidemiologic reporting. It is not designed to evaluate the quality of the research studies themselves (24,25). A review of 86 published QA instruments yielded no clear candidate for a generic QA tool as the majority of reviewers develop subject-specific instruments (26). We followed the recommendation of Sanderson et al. (26) and used the comprehensive STROBE statement as a starting point for our own QA instrument. However with its emphasis on reporting, STROBE may inflate the quality of studies which are methodologically weak due to small sample size or lack of geographic representativeness. We therefore incorporated elements from the Scottish Intercollegiate Guidelines Network (SIGN) (27) methodology checklist in the development of our QA instrument. The resulting instrument yields a numeric QA score with maximum values that range from 27 to 29 depending on study design. We calculated percentage scores based on the maximum score for each category of study design and classified results as follows: “A” studies (QA score >85%); “B” studies (QA score 76–85%); “C” studies (QA score 61–75%); and “D” studies (QA score≤60%). In accordance with recommendations (28), the QA was piloted prior to implementation. Two reviewers (TG and HB) performed QA on 4 randomly-selected studies (11% of those selected) and the results were compared using the K-statistic. Then QA was performed by one of the reviewers (either TG or HB) on each of the studies reviewed. We use the term “study” in this paper to refer to journal articles and reports. These publications ultimately were based on a far smaller number of research studies or projects conducted in specific regions and are thus not independent. Several publications from one study thus share the same methodological features of the parent study and only the reporting may differ. These publications may report on different “cuts” of the master dataset in terms of age–sex categories or other criteria. Furthermore, some publications report on the result of merging of the datasets of one or more of these studies.
Results
Application of study selection criteria resulted in the inclusion of 38 studies in the review (Tables I and II). The inter-rater reliability for the study selection was extremely strong (weighted K=0.90, p<0.001). Studies of adult circumpolar Inuit included in the review by country of study, sample size, participants, study design and anthropometric measures/indices Geographic coverage, participants and study design Thirty-nine percent of studies examined obesity among Canadian Inuit; 24% were set in Alaska and 33% in Greenland. Two studies compared obesity prevalence among all 3 countries. No studies of Siberian Inuit were located. The majority of studies (84%) examined obesity in adults. The age range of adult participants tended to be broad, however, the lower age limit varied considerably (Table I). The exclusion of pregnant subjects was reported in 28% of studies. The study design was exclusively cross-sectional; however, 19% of studies made comparisons to earlier research in order to report temporal trends in obesity metrics. There were 6 studies on children from Canada and Greenland, and none from Alaska. Three of these were retrospective cohorts constructed from Greenland health surveillance data based on growth measures taken in doctors’ offices at age 2 years, at school entry and at various points during childhood and adolescence, which permitted the authors to examine the pattern of obesity onset in Greenland Inuit children and youth ages 2–17 years. Studies of circumpolar Inuit children included in the review by country of study, participants, study design and anthropometric indices Thirty-nine percent of studies examined obesity among Canadian Inuit; 24% were set in Alaska and 33% in Greenland. Two studies compared obesity prevalence among all 3 countries. No studies of Siberian Inuit were located. The majority of studies (84%) examined obesity in adults. The age range of adult participants tended to be broad, however, the lower age limit varied considerably (Table I). The exclusion of pregnant subjects was reported in 28% of studies. The study design was exclusively cross-sectional; however, 19% of studies made comparisons to earlier research in order to report temporal trends in obesity metrics. There were 6 studies on children from Canada and Greenland, and none from Alaska. Three of these were retrospective cohorts constructed from Greenland health surveillance data based on growth measures taken in doctors’ offices at age 2 years, at school entry and at various points during childhood and adolescence, which permitted the authors to examine the pattern of obesity onset in Greenland Inuit children and youth ages 2–17 years. Studies of circumpolar Inuit children included in the review by country of study, participants, study design and anthropometric indices Measurement, metrics and reference standards All but one of the studies collected measured, rather than reported data. Age-standardized prevalence of obesity was reported in 47% of studies; the remainder reported only crude prevalence. BMI was used as an index of body size in all studies reviewed and was the only metric employed in studies in children. Overall, the majority of studies (66%) employed a combination of anthropometric markers; the most common combinations were BMI+WC (17%) and BMI+WC+WHR (25%). No direct measures of adiposity, such as dual-energy X-ray absorptiometry or computerized tomography, were used. Studies at the oldest end of the date range, prior to the publication of universal reference values for BMI, WC and WHR, used a variety of reference standards, such as the 1987 US National Center for Health Statistics standards for men and women (51,52,64) and Bray's BMI cutoff of 26 kg/m2 (28,65) The majority of studies of adults (63%) employed BMI, WC and WHR cutoffs defined by the World Health Organization (WHO) (66–68). All studies of children undertaken in Greenland used the International Obesity Task Force (IOTF) reference values to define childhood obesity (18). Both the IOTF and the 2000 Centers for Disease Control (CDC) reference (20) were used in the 3 Canadian publications derived from the Nunavut Inuit Child Health Survey (58–60). All but one of the studies collected measured, rather than reported data. Age-standardized prevalence of obesity was reported in 47% of studies; the remainder reported only crude prevalence. BMI was used as an index of body size in all studies reviewed and was the only metric employed in studies in children. Overall, the majority of studies (66%) employed a combination of anthropometric markers; the most common combinations were BMI+WC (17%) and BMI+WC+WHR (25%). No direct measures of adiposity, such as dual-energy X-ray absorptiometry or computerized tomography, were used. Studies at the oldest end of the date range, prior to the publication of universal reference values for BMI, WC and WHR, used a variety of reference standards, such as the 1987 US National Center for Health Statistics standards for men and women (51,52,64) and Bray's BMI cutoff of 26 kg/m2 (28,65) The majority of studies of adults (63%) employed BMI, WC and WHR cutoffs defined by the World Health Organization (WHO) (66–68). All studies of children undertaken in Greenland used the International Obesity Task Force (IOTF) reference values to define childhood obesity (18). Both the IOTF and the 2000 Centers for Disease Control (CDC) reference (20) were used in the 3 Canadian publications derived from the Nunavut Inuit Child Health Survey (58–60). Quality assessment During the QA pilot, there was moderate inter-rater reliability (K=0.43, p=0.046). Raters subsequently reviewed the QA protocol together step-by-step to improve the consistency of rating prior to undertaking QA during the review. The QA rated 26% of studies “A”, 18% “B”, 39% “C” and 16% “D”. Failure to achieve optimal quality scores resulted from a lack of clear definition of variables and data sources, in particular the failure to define obesity as a study variable. In 61% of studies, the authors did not provide adequate rationale for the obesity metric or the reference criteria used. A second major factor in study quality ranking was a lack of discussion of biases and limitations of the selected methodology; this occurred in 76% of studies. During the QA pilot, there was moderate inter-rater reliability (K=0.43, p=0.046). Raters subsequently reviewed the QA protocol together step-by-step to improve the consistency of rating prior to undertaking QA during the review. The QA rated 26% of studies “A”, 18% “B”, 39% “C” and 16% “D”. Failure to achieve optimal quality scores resulted from a lack of clear definition of variables and data sources, in particular the failure to define obesity as a study variable. In 61% of studies, the authors did not provide adequate rationale for the obesity metric or the reference criteria used. A second major factor in study quality ranking was a lack of discussion of biases and limitations of the selected methodology; this occurred in 76% of studies. Prevalence of obesity, associated risk factors and health outcomes We compared the obesity prevalence reported in studies of Inuit adults (Table III). In general, higher abdominal obesity prevalence was observed in women than in men. This gender difference was particularly marked in studies reporting abdominal obesity, the sole exception being a Greenland study of adults aged 35–86 years (46) which employed lower WC cutoff values for abdominal obesity. Prevalence (%) of obesity and abdominal obesity among Inuit adults by sex and country of study Obesity classified using WHO cutoff of BMI≥30. WC>102 cm for males and WC>88 cm for females, unless otherwise noted. WC>94 cm for males and WC>80 cm for females. Eighty-two percent of studies analyzed risk factors associated with obesity, most commonly metabolic risk factors: lipid profile (44%); serum glucose values (56%); and either serum insulin or insulin resistance or both (13%). Prevalence of hypertension was reported in 34% of adult studies. The tendency for obesity to be significantly associated with insulin resistance, impaired glucose metabolism, and unfavourable lipid profile was widely reported among adults. The metabolic syndrome (MetS) has received increasing interest. Four studies examined the impact of variation in existing diagnostic criteria for MetS (31,37,45,47). Among these studies, reported prevalence of MetS was consistently near 20%. There was considerable discussion about whether abdominal obesity (indicated by high WC) had as deleterious an effect on metabolic risk relative to non-Inuit populations. Two papers called for improved diagnostic criteria for MetS (31,45) and 2 others documented moderate agreement between WHO and National Cholesterol Education Program diagnostic criteria for MetS (37,47). Relatively few studies looked at diet and physical activity as risk factors for obesity among Inuit. Twenty-three percent of studies documented increased obesity prevalence in individuals with high energy intake, low physical activity measures, or some combination of both. The Nunavut Inuit Child Health Survey was unable to establish a relationship between obesity risk and the consumption of market foods (59,60). In Greenland a study showed that overweight at school entry (age 7 years) predicted overweight in late childhood and adolescence (60). The association between obesity and SES, specifically education, employment, job type and childhood socioeconomic conditions, was examined in 7 studies. Two studies one in adults (58) and one in children (58) failed to find any association between household food insecurity and obesity outcomes. In Greenland, Westernization influenced the development of obesity and metabolic risk, although the processes differed among men and women. For men, risk of obesity and metabolic disease arose through a decrease in traditional hunting and fishing activities; for women, the negative health consequences of Westernization seem to be mediated through differences in SES, mainly educational attainment (47). We compared the obesity prevalence reported in studies of Inuit adults (Table III). In general, higher abdominal obesity prevalence was observed in women than in men. This gender difference was particularly marked in studies reporting abdominal obesity, the sole exception being a Greenland study of adults aged 35–86 years (46) which employed lower WC cutoff values for abdominal obesity. Prevalence (%) of obesity and abdominal obesity among Inuit adults by sex and country of study Obesity classified using WHO cutoff of BMI≥30. WC>102 cm for males and WC>88 cm for females, unless otherwise noted. WC>94 cm for males and WC>80 cm for females. Eighty-two percent of studies analyzed risk factors associated with obesity, most commonly metabolic risk factors: lipid profile (44%); serum glucose values (56%); and either serum insulin or insulin resistance or both (13%). Prevalence of hypertension was reported in 34% of adult studies. The tendency for obesity to be significantly associated with insulin resistance, impaired glucose metabolism, and unfavourable lipid profile was widely reported among adults. The metabolic syndrome (MetS) has received increasing interest. Four studies examined the impact of variation in existing diagnostic criteria for MetS (31,37,45,47). Among these studies, reported prevalence of MetS was consistently near 20%. There was considerable discussion about whether abdominal obesity (indicated by high WC) had as deleterious an effect on metabolic risk relative to non-Inuit populations. Two papers called for improved diagnostic criteria for MetS (31,45) and 2 others documented moderate agreement between WHO and National Cholesterol Education Program diagnostic criteria for MetS (37,47). Relatively few studies looked at diet and physical activity as risk factors for obesity among Inuit. Twenty-three percent of studies documented increased obesity prevalence in individuals with high energy intake, low physical activity measures, or some combination of both. The Nunavut Inuit Child Health Survey was unable to establish a relationship between obesity risk and the consumption of market foods (59,60). In Greenland a study showed that overweight at school entry (age 7 years) predicted overweight in late childhood and adolescence (60). The association between obesity and SES, specifically education, employment, job type and childhood socioeconomic conditions, was examined in 7 studies. Two studies one in adults (58) and one in children (58) failed to find any association between household food insecurity and obesity outcomes. In Greenland, Westernization influenced the development of obesity and metabolic risk, although the processes differed among men and women. For men, risk of obesity and metabolic disease arose through a decrease in traditional hunting and fishing activities; for women, the negative health consequences of Westernization seem to be mediated through differences in SES, mainly educational attainment (47).
Conclusion
The results of this review indicate that concerted research effort has yielded substantial knowledge about the prevalence and factors associated with obesity in the circumpolar Inuit. With the exception of Inuit in Chukotka, Russia, there is broad geographic coverage of the regions where Inuit reside. Obesity prevalence is high among adults and has risen significantly in selected populations of preschool- and school-aged children. Inuit women are at greater risk of abdominal obesity than Inuit men however in both sexes obesity is associated with elevated metabolic risk factors such as insulin resistance, impaired glucose metabolism and negative trends in lipid profile. While the quality of studies is generally high and relies on measured, rather than reported, data, research on obesity among Inuit would benefit from emphasis on several areas: careful selection of metrics and reference standards; direct measures of adiposity in adults and children which can be used to determine accurate anthropometric markers of disease risk; studies of preadolescent children; and prospective cohort studies linking early childhood exposures with obesity outcomes throughout childhood and adolescence.
[ "Target population", "Research questions", "Definitions and search strategies", "Study selection", "Data extraction", "Quality assessment (QA)", "Geographic coverage, participants and study design", "Measurement, metrics and reference standards", "Quality assessment", "Prevalence of obesity, associated risk factors and health outcomes", "Conclusion" ]
[ "Our populations of interest are collectively referred to as Inuit, which extend from the Chukotka peninsula in Russia across Alaska and northern Canada to Greenland. They are known by a variety of self-designated names in different regions (including Yuit, Yupik, Inupiat, Inuvialuit, Inuit and Kalaallit). Our search revealed no English-language studies of obesity on Inuit living in Russia and they are excluded from our scoping review.", "In 2005 Arksey and O'Malley (15) published a methodological framework which presented 4 purposes for which a scoping review is appropriate:To examine the extent, range and nature of research activity.To determine the value of undertaking a full systematic review.To summarize and disseminate research findings.To identify research gaps in the existing literature.In a subsequent evaluation of the application of this framework, Levac et al. (16) recommended that researchers add clarity and direction by clearly articulating research questions that guide the scope of the review, specifying concepts, target populations and health outcomes of interest, an approach which we have adopted in our study.\nTo examine the extent, range and nature of research activity.\nTo determine the value of undertaking a full systematic review.\nTo summarize and disseminate research findings.\nTo identify research gaps in the existing literature.\nThe present study centres on the first purpose, namely to explore the extent, range and nature of research activity on obesity in the circumpolar Inuit: To what extent has obesity research been undertaken in the circumpolar context? Are all subpopulations and geographic areas represented? What methodologies are employed and are they sufficient to the task of describing risk factors, prevalence and health outcomes associated with obesity?\nOur study also addresses the third and fourth purposes: What is the prevalence of obesity? What temporal trends, environmental risk factors and health outcomes are associated with obesity in this population?\nFinally, we undertake comprehensive assessment of the field as a whole and identify gaps in the existing literature: What subgroups of this population are under-researched, what methodologies are underutilized, and what further research is needed?", "We operationalized “obesity” as a condition defined by direct or indirect assessment of excess body fat or adiposity, including body mass index (BMI), various measures of abdominal obesity including waist circumference (WC) and waist-hip ratio (WHR), percent body fat and sum of skinfold thicknesses.\nWe wanted to explore obesity in the widest possible age range. Both the Dietitians of Canada and the Canadian Pediatric Society recommend the use of BMI to screen for overweight and obesity in children 2 or more years of age (17), and a variety of guidelines exist for the identification of obesity in children 2 years and older (18–21). Under the age of 2 years, rapid growth and variety in feeding practices make it difficult to identify children at risk of obesity (21). We have therefore excluded studies of infants and children under 2 years.\nThe online databases Cochrane Library, JSTOR, Medline, PubMed, Science Citation Index, Science Direct and Scopus were used to compile a list of English-language papers. Search terms included a combination of medical subject headings and keywords related to the inquiry: Greenlandic, Inuit, Eskimo, Inupiat, Alaska(n), Aboriginal, indigenous, health, overweight, obesity, adiposity, body fat, body mass index, waist circumference, waist-hip ratio, diabetes, metabolic disease. The websites of national and regional governments and health agencies were searched for relevant published and unpublished documents. The publication records of authors and the reference lists of identified papers were combed for additional related resources. Duplicate citations from the multiple databases were removed. The search identified 115 citations which were assembled in an online Refworks (Refworks-COS, Bethesda, MD) file available to members of the team throughout the review.", "Inclusion and exclusion criteria were developed based on the objectives of the research. Studies were included in the review on the following basis:The study was published during the 20-year period spanning 1992–2011.Participants were age 2 years or greater.Participants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms.The study included 30 or more participants.“Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor.The study was the result of primary research.Studies on diabetes or cardiovascular diseases were included only if obesity was studied as a risk factor and assessed through direct or indirect means. Studies that included pregnant women or focused on gestational diabetes were excluded.\nThe study was published during the 20-year period spanning 1992–2011.\nParticipants were age 2 years or greater.\nParticipants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms.\nThe study included 30 or more participants.\n“Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor.\nThe study was the result of primary research.\nStudy selection (Fig. 1) was conducted independently by both the principal reviewer (TG) and a second reviewer (HB). Inter-rater reliability was assessed by the Kappa statistic (K). The review team included authors of several of the papers identified in the literature search. These authors were excluded from selection, data extraction or quality assessment (QA) of their own papers.\nFlow chart describing study selection process.", "A customized data extraction instrument was developed to explore the scope of the available literature and to compare study design, methodology and results. The instrument summarizes study characteristics and findings, allows for expansion of sections relevant to each study under review, and permits comparisons across studies. Data collected were entered into a spreadsheet made available to the entire review team.", "We undertook QA of all selected studies using a modified version of the STROBE instrument (22,23) (STrengthening the Reporting of OBservational studies in Epidemiology), a checklist of 22 items designed for cohort, case-control, and cross-sectional studies and intended as a tool to improve the consistency, quality and transparency of epidemiologic reporting. It is not designed to evaluate the quality of the research studies themselves (24,25). A review of 86 published QA instruments yielded no clear candidate for a generic QA tool as the majority of reviewers develop subject-specific instruments (26).\nWe followed the recommendation of Sanderson et al. (26) and used the comprehensive STROBE statement as a starting point for our own QA instrument. However with its emphasis on reporting, STROBE may inflate the quality of studies which are methodologically weak due to small sample size or lack of geographic representativeness. We therefore incorporated elements from the Scottish Intercollegiate Guidelines Network (SIGN) (27) methodology checklist in the development of our QA instrument. The resulting instrument yields a numeric QA score with maximum values that range from 27 to 29 depending on study design. We calculated percentage scores based on the maximum score for each category of study design and classified results as follows: “A” studies (QA score >85%); “B” studies (QA score 76–85%); “C” studies (QA score 61–75%); and “D” studies (QA score≤60%). In accordance with recommendations (28), the QA was piloted prior to implementation. Two reviewers (TG and HB) performed QA on 4 randomly-selected studies (11% of those selected) and the results were compared using the K-statistic. Then QA was performed by one of the reviewers (either TG or HB) on each of the studies reviewed.\nWe use the term “study” in this paper to refer to journal articles and reports. These publications ultimately were based on a far smaller number of research studies or projects conducted in specific regions and are thus not independent. Several publications from one study thus share the same methodological features of the parent study and only the reporting may differ. These publications may report on different “cuts” of the master dataset in terms of age–sex categories or other criteria. Furthermore, some publications report on the result of merging of the datasets of one or more of these studies.", "Thirty-nine percent of studies examined obesity among Canadian Inuit; 24% were set in Alaska and 33% in Greenland. Two studies compared obesity prevalence among all 3 countries. No studies of Siberian Inuit were located.\nThe majority of studies (84%) examined obesity in adults. The age range of adult participants tended to be broad, however, the lower age limit varied considerably (Table I). The exclusion of pregnant subjects was reported in 28% of studies. The study design was exclusively cross-sectional; however, 19% of studies made comparisons to earlier research in order to report temporal trends in obesity metrics.\nThere were 6 studies on children from Canada and Greenland, and none from Alaska. Three of these were retrospective cohorts constructed from Greenland health surveillance data based on growth measures taken in doctors’ offices at age 2 years, at school entry and at various points during childhood and adolescence, which permitted the authors to examine the pattern of obesity onset in Greenland Inuit children and youth ages 2–17 years.\nStudies of circumpolar Inuit children included in the review by country of study, participants, study design and anthropometric indices", "All but one of the studies collected measured, rather than reported data. Age-standardized prevalence of obesity was reported in 47% of studies; the remainder reported only crude prevalence.\nBMI was used as an index of body size in all studies reviewed and was the only metric employed in studies in children. Overall, the majority of studies (66%) employed a combination of anthropometric markers; the most common combinations were BMI+WC (17%) and BMI+WC+WHR (25%). No direct measures of adiposity, such as dual-energy X-ray absorptiometry or computerized tomography, were used.\nStudies at the oldest end of the date range, prior to the publication of universal reference values for BMI, WC and WHR, used a variety of reference standards, such as the 1987 US National Center for Health Statistics standards for men and women (51,52,64) and Bray's BMI cutoff of 26 kg/m2\n(28,65) The majority of studies of adults (63%) employed BMI, WC and WHR cutoffs defined by the World Health Organization (WHO) (66–68).\nAll studies of children undertaken in Greenland used the International Obesity Task Force (IOTF) reference values to define childhood obesity (18). Both the IOTF and the 2000 Centers for Disease Control (CDC) reference (20) were used in the 3 Canadian publications derived from the Nunavut Inuit Child Health Survey (58–60).", "During the QA pilot, there was moderate inter-rater reliability (K=0.43, p=0.046). Raters subsequently reviewed the QA protocol together step-by-step to improve the consistency of rating prior to undertaking QA during the review.\nThe QA rated 26% of studies “A”, 18% “B”, 39% “C” and 16% “D”. Failure to achieve optimal quality scores resulted from a lack of clear definition of variables and data sources, in particular the failure to define obesity as a study variable. In 61% of studies, the authors did not provide adequate rationale for the obesity metric or the reference criteria used. A second major factor in study quality ranking was a lack of discussion of biases and limitations of the selected methodology; this occurred in 76% of studies.", "We compared the obesity prevalence reported in studies of Inuit adults (Table III). In general, higher abdominal obesity prevalence was observed in women than in men. This gender difference was particularly marked in studies reporting abdominal obesity, the sole exception being a Greenland study of adults aged 35–86 years (46) which employed lower WC cutoff values for abdominal obesity.\nPrevalence (%) of obesity and abdominal obesity among Inuit adults by sex and country of study\nObesity classified using WHO cutoff of BMI≥30.\nWC>102 cm for males and WC>88 cm for females, unless otherwise noted.\nWC>94 cm for males and WC>80 cm for females.\nEighty-two percent of studies analyzed risk factors associated with obesity, most commonly metabolic risk factors: lipid profile (44%); serum glucose values (56%); and either serum insulin or insulin resistance or both (13%). Prevalence of hypertension was reported in 34% of adult studies. The tendency for obesity to be significantly associated with insulin resistance, impaired glucose metabolism, and unfavourable lipid profile was widely reported among adults. The metabolic syndrome (MetS) has received increasing interest. Four studies examined the impact of variation in existing diagnostic criteria for MetS (31,37,45,47). Among these studies, reported prevalence of MetS was consistently near 20%. There was considerable discussion about whether abdominal obesity (indicated by high WC) had as deleterious an effect on metabolic risk relative to non-Inuit populations. Two papers called for improved diagnostic criteria for MetS (31,45) and 2 others documented moderate agreement between WHO and National Cholesterol Education Program diagnostic criteria for MetS (37,47).\nRelatively few studies looked at diet and physical activity as risk factors for obesity among Inuit. Twenty-three percent of studies documented increased obesity prevalence in individuals with high energy intake, low physical activity measures, or some combination of both. The Nunavut Inuit Child Health Survey was unable to establish a relationship between obesity risk and the consumption of market foods (59,60). In Greenland a study showed that overweight at school entry (age 7 years) predicted overweight in late childhood and adolescence (60).\nThe association between obesity and SES, specifically education, employment, job type and childhood socioeconomic conditions, was examined in 7 studies. Two studies one in adults (58) and one in children (58) failed to find any association between household food insecurity and obesity outcomes. In Greenland, Westernization influenced the development of obesity and metabolic risk, although the processes differed among men and women. For men, risk of obesity and metabolic disease arose through a decrease in traditional hunting and fishing activities; for women, the negative health consequences of Westernization seem to be mediated through differences in SES, mainly educational attainment (47).", "The results of this review indicate that concerted research effort has yielded substantial knowledge about the prevalence and factors associated with obesity in the circumpolar Inuit. With the exception of Inuit in Chukotka, Russia, there is broad geographic coverage of the regions where Inuit reside. Obesity prevalence is high among adults and has risen significantly in selected populations of preschool- and school-aged children. Inuit women are at greater risk of abdominal obesity than Inuit men however in both sexes obesity is associated with elevated metabolic risk factors such as insulin resistance, impaired glucose metabolism and negative trends in lipid profile.\nWhile the quality of studies is generally high and relies on measured, rather than reported, data, research on obesity among Inuit would benefit from emphasis on several areas: careful selection of metrics and reference standards; direct measures of adiposity in adults and children which can be used to determine accurate anthropometric markers of disease risk; studies of preadolescent children; and prospective cohort studies linking early childhood exposures with obesity outcomes throughout childhood and adolescence." ]
[ null, null, null, null, null, null, null, null, null, null, null ]
[ "Materials and methods", "Target population", "Research questions", "Definitions and search strategies", "Study selection", "Data extraction", "Quality assessment (QA)", "Results", "Geographic coverage, participants and study design", "Measurement, metrics and reference standards", "Quality assessment", "Prevalence of obesity, associated risk factors and health outcomes", "Discussion", "Conclusion" ]
[ " Target population Our populations of interest are collectively referred to as Inuit, which extend from the Chukotka peninsula in Russia across Alaska and northern Canada to Greenland. They are known by a variety of self-designated names in different regions (including Yuit, Yupik, Inupiat, Inuvialuit, Inuit and Kalaallit). Our search revealed no English-language studies of obesity on Inuit living in Russia and they are excluded from our scoping review.\nOur populations of interest are collectively referred to as Inuit, which extend from the Chukotka peninsula in Russia across Alaska and northern Canada to Greenland. They are known by a variety of self-designated names in different regions (including Yuit, Yupik, Inupiat, Inuvialuit, Inuit and Kalaallit). Our search revealed no English-language studies of obesity on Inuit living in Russia and they are excluded from our scoping review.\n Research questions In 2005 Arksey and O'Malley (15) published a methodological framework which presented 4 purposes for which a scoping review is appropriate:To examine the extent, range and nature of research activity.To determine the value of undertaking a full systematic review.To summarize and disseminate research findings.To identify research gaps in the existing literature.In a subsequent evaluation of the application of this framework, Levac et al. (16) recommended that researchers add clarity and direction by clearly articulating research questions that guide the scope of the review, specifying concepts, target populations and health outcomes of interest, an approach which we have adopted in our study.\nTo examine the extent, range and nature of research activity.\nTo determine the value of undertaking a full systematic review.\nTo summarize and disseminate research findings.\nTo identify research gaps in the existing literature.\nThe present study centres on the first purpose, namely to explore the extent, range and nature of research activity on obesity in the circumpolar Inuit: To what extent has obesity research been undertaken in the circumpolar context? Are all subpopulations and geographic areas represented? What methodologies are employed and are they sufficient to the task of describing risk factors, prevalence and health outcomes associated with obesity?\nOur study also addresses the third and fourth purposes: What is the prevalence of obesity? What temporal trends, environmental risk factors and health outcomes are associated with obesity in this population?\nFinally, we undertake comprehensive assessment of the field as a whole and identify gaps in the existing literature: What subgroups of this population are under-researched, what methodologies are underutilized, and what further research is needed?\nIn 2005 Arksey and O'Malley (15) published a methodological framework which presented 4 purposes for which a scoping review is appropriate:To examine the extent, range and nature of research activity.To determine the value of undertaking a full systematic review.To summarize and disseminate research findings.To identify research gaps in the existing literature.In a subsequent evaluation of the application of this framework, Levac et al. (16) recommended that researchers add clarity and direction by clearly articulating research questions that guide the scope of the review, specifying concepts, target populations and health outcomes of interest, an approach which we have adopted in our study.\nTo examine the extent, range and nature of research activity.\nTo determine the value of undertaking a full systematic review.\nTo summarize and disseminate research findings.\nTo identify research gaps in the existing literature.\nThe present study centres on the first purpose, namely to explore the extent, range and nature of research activity on obesity in the circumpolar Inuit: To what extent has obesity research been undertaken in the circumpolar context? Are all subpopulations and geographic areas represented? What methodologies are employed and are they sufficient to the task of describing risk factors, prevalence and health outcomes associated with obesity?\nOur study also addresses the third and fourth purposes: What is the prevalence of obesity? What temporal trends, environmental risk factors and health outcomes are associated with obesity in this population?\nFinally, we undertake comprehensive assessment of the field as a whole and identify gaps in the existing literature: What subgroups of this population are under-researched, what methodologies are underutilized, and what further research is needed?\n Definitions and search strategies We operationalized “obesity” as a condition defined by direct or indirect assessment of excess body fat or adiposity, including body mass index (BMI), various measures of abdominal obesity including waist circumference (WC) and waist-hip ratio (WHR), percent body fat and sum of skinfold thicknesses.\nWe wanted to explore obesity in the widest possible age range. Both the Dietitians of Canada and the Canadian Pediatric Society recommend the use of BMI to screen for overweight and obesity in children 2 or more years of age (17), and a variety of guidelines exist for the identification of obesity in children 2 years and older (18–21). Under the age of 2 years, rapid growth and variety in feeding practices make it difficult to identify children at risk of obesity (21). We have therefore excluded studies of infants and children under 2 years.\nThe online databases Cochrane Library, JSTOR, Medline, PubMed, Science Citation Index, Science Direct and Scopus were used to compile a list of English-language papers. Search terms included a combination of medical subject headings and keywords related to the inquiry: Greenlandic, Inuit, Eskimo, Inupiat, Alaska(n), Aboriginal, indigenous, health, overweight, obesity, adiposity, body fat, body mass index, waist circumference, waist-hip ratio, diabetes, metabolic disease. The websites of national and regional governments and health agencies were searched for relevant published and unpublished documents. The publication records of authors and the reference lists of identified papers were combed for additional related resources. Duplicate citations from the multiple databases were removed. The search identified 115 citations which were assembled in an online Refworks (Refworks-COS, Bethesda, MD) file available to members of the team throughout the review.\nWe operationalized “obesity” as a condition defined by direct or indirect assessment of excess body fat or adiposity, including body mass index (BMI), various measures of abdominal obesity including waist circumference (WC) and waist-hip ratio (WHR), percent body fat and sum of skinfold thicknesses.\nWe wanted to explore obesity in the widest possible age range. Both the Dietitians of Canada and the Canadian Pediatric Society recommend the use of BMI to screen for overweight and obesity in children 2 or more years of age (17), and a variety of guidelines exist for the identification of obesity in children 2 years and older (18–21). Under the age of 2 years, rapid growth and variety in feeding practices make it difficult to identify children at risk of obesity (21). We have therefore excluded studies of infants and children under 2 years.\nThe online databases Cochrane Library, JSTOR, Medline, PubMed, Science Citation Index, Science Direct and Scopus were used to compile a list of English-language papers. Search terms included a combination of medical subject headings and keywords related to the inquiry: Greenlandic, Inuit, Eskimo, Inupiat, Alaska(n), Aboriginal, indigenous, health, overweight, obesity, adiposity, body fat, body mass index, waist circumference, waist-hip ratio, diabetes, metabolic disease. The websites of national and regional governments and health agencies were searched for relevant published and unpublished documents. The publication records of authors and the reference lists of identified papers were combed for additional related resources. Duplicate citations from the multiple databases were removed. The search identified 115 citations which were assembled in an online Refworks (Refworks-COS, Bethesda, MD) file available to members of the team throughout the review.\n Study selection Inclusion and exclusion criteria were developed based on the objectives of the research. Studies were included in the review on the following basis:The study was published during the 20-year period spanning 1992–2011.Participants were age 2 years or greater.Participants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms.The study included 30 or more participants.“Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor.The study was the result of primary research.Studies on diabetes or cardiovascular diseases were included only if obesity was studied as a risk factor and assessed through direct or indirect means. Studies that included pregnant women or focused on gestational diabetes were excluded.\nThe study was published during the 20-year period spanning 1992–2011.\nParticipants were age 2 years or greater.\nParticipants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms.\nThe study included 30 or more participants.\n“Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor.\nThe study was the result of primary research.\nStudy selection (Fig. 1) was conducted independently by both the principal reviewer (TG) and a second reviewer (HB). Inter-rater reliability was assessed by the Kappa statistic (K). The review team included authors of several of the papers identified in the literature search. These authors were excluded from selection, data extraction or quality assessment (QA) of their own papers.\nFlow chart describing study selection process.\nInclusion and exclusion criteria were developed based on the objectives of the research. Studies were included in the review on the following basis:The study was published during the 20-year period spanning 1992–2011.Participants were age 2 years or greater.Participants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms.The study included 30 or more participants.“Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor.The study was the result of primary research.Studies on diabetes or cardiovascular diseases were included only if obesity was studied as a risk factor and assessed through direct or indirect means. Studies that included pregnant women or focused on gestational diabetes were excluded.\nThe study was published during the 20-year period spanning 1992–2011.\nParticipants were age 2 years or greater.\nParticipants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms.\nThe study included 30 or more participants.\n“Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor.\nThe study was the result of primary research.\nStudy selection (Fig. 1) was conducted independently by both the principal reviewer (TG) and a second reviewer (HB). Inter-rater reliability was assessed by the Kappa statistic (K). The review team included authors of several of the papers identified in the literature search. These authors were excluded from selection, data extraction or quality assessment (QA) of their own papers.\nFlow chart describing study selection process.\n Data extraction A customized data extraction instrument was developed to explore the scope of the available literature and to compare study design, methodology and results. The instrument summarizes study characteristics and findings, allows for expansion of sections relevant to each study under review, and permits comparisons across studies. Data collected were entered into a spreadsheet made available to the entire review team.\nA customized data extraction instrument was developed to explore the scope of the available literature and to compare study design, methodology and results. The instrument summarizes study characteristics and findings, allows for expansion of sections relevant to each study under review, and permits comparisons across studies. Data collected were entered into a spreadsheet made available to the entire review team.\n Quality assessment (QA) We undertook QA of all selected studies using a modified version of the STROBE instrument (22,23) (STrengthening the Reporting of OBservational studies in Epidemiology), a checklist of 22 items designed for cohort, case-control, and cross-sectional studies and intended as a tool to improve the consistency, quality and transparency of epidemiologic reporting. It is not designed to evaluate the quality of the research studies themselves (24,25). A review of 86 published QA instruments yielded no clear candidate for a generic QA tool as the majority of reviewers develop subject-specific instruments (26).\nWe followed the recommendation of Sanderson et al. (26) and used the comprehensive STROBE statement as a starting point for our own QA instrument. However with its emphasis on reporting, STROBE may inflate the quality of studies which are methodologically weak due to small sample size or lack of geographic representativeness. We therefore incorporated elements from the Scottish Intercollegiate Guidelines Network (SIGN) (27) methodology checklist in the development of our QA instrument. The resulting instrument yields a numeric QA score with maximum values that range from 27 to 29 depending on study design. We calculated percentage scores based on the maximum score for each category of study design and classified results as follows: “A” studies (QA score >85%); “B” studies (QA score 76–85%); “C” studies (QA score 61–75%); and “D” studies (QA score≤60%). In accordance with recommendations (28), the QA was piloted prior to implementation. Two reviewers (TG and HB) performed QA on 4 randomly-selected studies (11% of those selected) and the results were compared using the K-statistic. Then QA was performed by one of the reviewers (either TG or HB) on each of the studies reviewed.\nWe use the term “study” in this paper to refer to journal articles and reports. These publications ultimately were based on a far smaller number of research studies or projects conducted in specific regions and are thus not independent. Several publications from one study thus share the same methodological features of the parent study and only the reporting may differ. These publications may report on different “cuts” of the master dataset in terms of age–sex categories or other criteria. Furthermore, some publications report on the result of merging of the datasets of one or more of these studies.\nWe undertook QA of all selected studies using a modified version of the STROBE instrument (22,23) (STrengthening the Reporting of OBservational studies in Epidemiology), a checklist of 22 items designed for cohort, case-control, and cross-sectional studies and intended as a tool to improve the consistency, quality and transparency of epidemiologic reporting. It is not designed to evaluate the quality of the research studies themselves (24,25). A review of 86 published QA instruments yielded no clear candidate for a generic QA tool as the majority of reviewers develop subject-specific instruments (26).\nWe followed the recommendation of Sanderson et al. (26) and used the comprehensive STROBE statement as a starting point for our own QA instrument. However with its emphasis on reporting, STROBE may inflate the quality of studies which are methodologically weak due to small sample size or lack of geographic representativeness. We therefore incorporated elements from the Scottish Intercollegiate Guidelines Network (SIGN) (27) methodology checklist in the development of our QA instrument. The resulting instrument yields a numeric QA score with maximum values that range from 27 to 29 depending on study design. We calculated percentage scores based on the maximum score for each category of study design and classified results as follows: “A” studies (QA score >85%); “B” studies (QA score 76–85%); “C” studies (QA score 61–75%); and “D” studies (QA score≤60%). In accordance with recommendations (28), the QA was piloted prior to implementation. Two reviewers (TG and HB) performed QA on 4 randomly-selected studies (11% of those selected) and the results were compared using the K-statistic. Then QA was performed by one of the reviewers (either TG or HB) on each of the studies reviewed.\nWe use the term “study” in this paper to refer to journal articles and reports. These publications ultimately were based on a far smaller number of research studies or projects conducted in specific regions and are thus not independent. Several publications from one study thus share the same methodological features of the parent study and only the reporting may differ. These publications may report on different “cuts” of the master dataset in terms of age–sex categories or other criteria. Furthermore, some publications report on the result of merging of the datasets of one or more of these studies.", "Our populations of interest are collectively referred to as Inuit, which extend from the Chukotka peninsula in Russia across Alaska and northern Canada to Greenland. They are known by a variety of self-designated names in different regions (including Yuit, Yupik, Inupiat, Inuvialuit, Inuit and Kalaallit). Our search revealed no English-language studies of obesity on Inuit living in Russia and they are excluded from our scoping review.", "In 2005 Arksey and O'Malley (15) published a methodological framework which presented 4 purposes for which a scoping review is appropriate:To examine the extent, range and nature of research activity.To determine the value of undertaking a full systematic review.To summarize and disseminate research findings.To identify research gaps in the existing literature.In a subsequent evaluation of the application of this framework, Levac et al. (16) recommended that researchers add clarity and direction by clearly articulating research questions that guide the scope of the review, specifying concepts, target populations and health outcomes of interest, an approach which we have adopted in our study.\nTo examine the extent, range and nature of research activity.\nTo determine the value of undertaking a full systematic review.\nTo summarize and disseminate research findings.\nTo identify research gaps in the existing literature.\nThe present study centres on the first purpose, namely to explore the extent, range and nature of research activity on obesity in the circumpolar Inuit: To what extent has obesity research been undertaken in the circumpolar context? Are all subpopulations and geographic areas represented? What methodologies are employed and are they sufficient to the task of describing risk factors, prevalence and health outcomes associated with obesity?\nOur study also addresses the third and fourth purposes: What is the prevalence of obesity? What temporal trends, environmental risk factors and health outcomes are associated with obesity in this population?\nFinally, we undertake comprehensive assessment of the field as a whole and identify gaps in the existing literature: What subgroups of this population are under-researched, what methodologies are underutilized, and what further research is needed?", "We operationalized “obesity” as a condition defined by direct or indirect assessment of excess body fat or adiposity, including body mass index (BMI), various measures of abdominal obesity including waist circumference (WC) and waist-hip ratio (WHR), percent body fat and sum of skinfold thicknesses.\nWe wanted to explore obesity in the widest possible age range. Both the Dietitians of Canada and the Canadian Pediatric Society recommend the use of BMI to screen for overweight and obesity in children 2 or more years of age (17), and a variety of guidelines exist for the identification of obesity in children 2 years and older (18–21). Under the age of 2 years, rapid growth and variety in feeding practices make it difficult to identify children at risk of obesity (21). We have therefore excluded studies of infants and children under 2 years.\nThe online databases Cochrane Library, JSTOR, Medline, PubMed, Science Citation Index, Science Direct and Scopus were used to compile a list of English-language papers. Search terms included a combination of medical subject headings and keywords related to the inquiry: Greenlandic, Inuit, Eskimo, Inupiat, Alaska(n), Aboriginal, indigenous, health, overweight, obesity, adiposity, body fat, body mass index, waist circumference, waist-hip ratio, diabetes, metabolic disease. The websites of national and regional governments and health agencies were searched for relevant published and unpublished documents. The publication records of authors and the reference lists of identified papers were combed for additional related resources. Duplicate citations from the multiple databases were removed. The search identified 115 citations which were assembled in an online Refworks (Refworks-COS, Bethesda, MD) file available to members of the team throughout the review.", "Inclusion and exclusion criteria were developed based on the objectives of the research. Studies were included in the review on the following basis:The study was published during the 20-year period spanning 1992–2011.Participants were age 2 years or greater.Participants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms.The study included 30 or more participants.“Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor.The study was the result of primary research.Studies on diabetes or cardiovascular diseases were included only if obesity was studied as a risk factor and assessed through direct or indirect means. Studies that included pregnant women or focused on gestational diabetes were excluded.\nThe study was published during the 20-year period spanning 1992–2011.\nParticipants were age 2 years or greater.\nParticipants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms.\nThe study included 30 or more participants.\n“Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor.\nThe study was the result of primary research.\nStudy selection (Fig. 1) was conducted independently by both the principal reviewer (TG) and a second reviewer (HB). Inter-rater reliability was assessed by the Kappa statistic (K). The review team included authors of several of the papers identified in the literature search. These authors were excluded from selection, data extraction or quality assessment (QA) of their own papers.\nFlow chart describing study selection process.", "A customized data extraction instrument was developed to explore the scope of the available literature and to compare study design, methodology and results. The instrument summarizes study characteristics and findings, allows for expansion of sections relevant to each study under review, and permits comparisons across studies. Data collected were entered into a spreadsheet made available to the entire review team.", "We undertook QA of all selected studies using a modified version of the STROBE instrument (22,23) (STrengthening the Reporting of OBservational studies in Epidemiology), a checklist of 22 items designed for cohort, case-control, and cross-sectional studies and intended as a tool to improve the consistency, quality and transparency of epidemiologic reporting. It is not designed to evaluate the quality of the research studies themselves (24,25). A review of 86 published QA instruments yielded no clear candidate for a generic QA tool as the majority of reviewers develop subject-specific instruments (26).\nWe followed the recommendation of Sanderson et al. (26) and used the comprehensive STROBE statement as a starting point for our own QA instrument. However with its emphasis on reporting, STROBE may inflate the quality of studies which are methodologically weak due to small sample size or lack of geographic representativeness. We therefore incorporated elements from the Scottish Intercollegiate Guidelines Network (SIGN) (27) methodology checklist in the development of our QA instrument. The resulting instrument yields a numeric QA score with maximum values that range from 27 to 29 depending on study design. We calculated percentage scores based on the maximum score for each category of study design and classified results as follows: “A” studies (QA score >85%); “B” studies (QA score 76–85%); “C” studies (QA score 61–75%); and “D” studies (QA score≤60%). In accordance with recommendations (28), the QA was piloted prior to implementation. Two reviewers (TG and HB) performed QA on 4 randomly-selected studies (11% of those selected) and the results were compared using the K-statistic. Then QA was performed by one of the reviewers (either TG or HB) on each of the studies reviewed.\nWe use the term “study” in this paper to refer to journal articles and reports. These publications ultimately were based on a far smaller number of research studies or projects conducted in specific regions and are thus not independent. Several publications from one study thus share the same methodological features of the parent study and only the reporting may differ. These publications may report on different “cuts” of the master dataset in terms of age–sex categories or other criteria. Furthermore, some publications report on the result of merging of the datasets of one or more of these studies.", "Application of study selection criteria resulted in the inclusion of 38 studies in the review (Tables I and II). The inter-rater reliability for the study selection was extremely strong (weighted K=0.90, p<0.001).\nStudies of adult circumpolar Inuit included in the review by country of study, sample size, participants, study design and anthropometric measures/indices\n Geographic coverage, participants and study design Thirty-nine percent of studies examined obesity among Canadian Inuit; 24% were set in Alaska and 33% in Greenland. Two studies compared obesity prevalence among all 3 countries. No studies of Siberian Inuit were located.\nThe majority of studies (84%) examined obesity in adults. The age range of adult participants tended to be broad, however, the lower age limit varied considerably (Table I). The exclusion of pregnant subjects was reported in 28% of studies. The study design was exclusively cross-sectional; however, 19% of studies made comparisons to earlier research in order to report temporal trends in obesity metrics.\nThere were 6 studies on children from Canada and Greenland, and none from Alaska. Three of these were retrospective cohorts constructed from Greenland health surveillance data based on growth measures taken in doctors’ offices at age 2 years, at school entry and at various points during childhood and adolescence, which permitted the authors to examine the pattern of obesity onset in Greenland Inuit children and youth ages 2–17 years.\nStudies of circumpolar Inuit children included in the review by country of study, participants, study design and anthropometric indices\nThirty-nine percent of studies examined obesity among Canadian Inuit; 24% were set in Alaska and 33% in Greenland. Two studies compared obesity prevalence among all 3 countries. No studies of Siberian Inuit were located.\nThe majority of studies (84%) examined obesity in adults. The age range of adult participants tended to be broad, however, the lower age limit varied considerably (Table I). The exclusion of pregnant subjects was reported in 28% of studies. The study design was exclusively cross-sectional; however, 19% of studies made comparisons to earlier research in order to report temporal trends in obesity metrics.\nThere were 6 studies on children from Canada and Greenland, and none from Alaska. Three of these were retrospective cohorts constructed from Greenland health surveillance data based on growth measures taken in doctors’ offices at age 2 years, at school entry and at various points during childhood and adolescence, which permitted the authors to examine the pattern of obesity onset in Greenland Inuit children and youth ages 2–17 years.\nStudies of circumpolar Inuit children included in the review by country of study, participants, study design and anthropometric indices\n Measurement, metrics and reference standards All but one of the studies collected measured, rather than reported data. Age-standardized prevalence of obesity was reported in 47% of studies; the remainder reported only crude prevalence.\nBMI was used as an index of body size in all studies reviewed and was the only metric employed in studies in children. Overall, the majority of studies (66%) employed a combination of anthropometric markers; the most common combinations were BMI+WC (17%) and BMI+WC+WHR (25%). No direct measures of adiposity, such as dual-energy X-ray absorptiometry or computerized tomography, were used.\nStudies at the oldest end of the date range, prior to the publication of universal reference values for BMI, WC and WHR, used a variety of reference standards, such as the 1987 US National Center for Health Statistics standards for men and women (51,52,64) and Bray's BMI cutoff of 26 kg/m2\n(28,65) The majority of studies of adults (63%) employed BMI, WC and WHR cutoffs defined by the World Health Organization (WHO) (66–68).\nAll studies of children undertaken in Greenland used the International Obesity Task Force (IOTF) reference values to define childhood obesity (18). Both the IOTF and the 2000 Centers for Disease Control (CDC) reference (20) were used in the 3 Canadian publications derived from the Nunavut Inuit Child Health Survey (58–60).\nAll but one of the studies collected measured, rather than reported data. Age-standardized prevalence of obesity was reported in 47% of studies; the remainder reported only crude prevalence.\nBMI was used as an index of body size in all studies reviewed and was the only metric employed in studies in children. Overall, the majority of studies (66%) employed a combination of anthropometric markers; the most common combinations were BMI+WC (17%) and BMI+WC+WHR (25%). No direct measures of adiposity, such as dual-energy X-ray absorptiometry or computerized tomography, were used.\nStudies at the oldest end of the date range, prior to the publication of universal reference values for BMI, WC and WHR, used a variety of reference standards, such as the 1987 US National Center for Health Statistics standards for men and women (51,52,64) and Bray's BMI cutoff of 26 kg/m2\n(28,65) The majority of studies of adults (63%) employed BMI, WC and WHR cutoffs defined by the World Health Organization (WHO) (66–68).\nAll studies of children undertaken in Greenland used the International Obesity Task Force (IOTF) reference values to define childhood obesity (18). Both the IOTF and the 2000 Centers for Disease Control (CDC) reference (20) were used in the 3 Canadian publications derived from the Nunavut Inuit Child Health Survey (58–60).\n Quality assessment During the QA pilot, there was moderate inter-rater reliability (K=0.43, p=0.046). Raters subsequently reviewed the QA protocol together step-by-step to improve the consistency of rating prior to undertaking QA during the review.\nThe QA rated 26% of studies “A”, 18% “B”, 39% “C” and 16% “D”. Failure to achieve optimal quality scores resulted from a lack of clear definition of variables and data sources, in particular the failure to define obesity as a study variable. In 61% of studies, the authors did not provide adequate rationale for the obesity metric or the reference criteria used. A second major factor in study quality ranking was a lack of discussion of biases and limitations of the selected methodology; this occurred in 76% of studies.\nDuring the QA pilot, there was moderate inter-rater reliability (K=0.43, p=0.046). Raters subsequently reviewed the QA protocol together step-by-step to improve the consistency of rating prior to undertaking QA during the review.\nThe QA rated 26% of studies “A”, 18% “B”, 39% “C” and 16% “D”. Failure to achieve optimal quality scores resulted from a lack of clear definition of variables and data sources, in particular the failure to define obesity as a study variable. In 61% of studies, the authors did not provide adequate rationale for the obesity metric or the reference criteria used. A second major factor in study quality ranking was a lack of discussion of biases and limitations of the selected methodology; this occurred in 76% of studies.\n Prevalence of obesity, associated risk factors and health outcomes We compared the obesity prevalence reported in studies of Inuit adults (Table III). In general, higher abdominal obesity prevalence was observed in women than in men. This gender difference was particularly marked in studies reporting abdominal obesity, the sole exception being a Greenland study of adults aged 35–86 years (46) which employed lower WC cutoff values for abdominal obesity.\nPrevalence (%) of obesity and abdominal obesity among Inuit adults by sex and country of study\nObesity classified using WHO cutoff of BMI≥30.\nWC>102 cm for males and WC>88 cm for females, unless otherwise noted.\nWC>94 cm for males and WC>80 cm for females.\nEighty-two percent of studies analyzed risk factors associated with obesity, most commonly metabolic risk factors: lipid profile (44%); serum glucose values (56%); and either serum insulin or insulin resistance or both (13%). Prevalence of hypertension was reported in 34% of adult studies. The tendency for obesity to be significantly associated with insulin resistance, impaired glucose metabolism, and unfavourable lipid profile was widely reported among adults. The metabolic syndrome (MetS) has received increasing interest. Four studies examined the impact of variation in existing diagnostic criteria for MetS (31,37,45,47). Among these studies, reported prevalence of MetS was consistently near 20%. There was considerable discussion about whether abdominal obesity (indicated by high WC) had as deleterious an effect on metabolic risk relative to non-Inuit populations. Two papers called for improved diagnostic criteria for MetS (31,45) and 2 others documented moderate agreement between WHO and National Cholesterol Education Program diagnostic criteria for MetS (37,47).\nRelatively few studies looked at diet and physical activity as risk factors for obesity among Inuit. Twenty-three percent of studies documented increased obesity prevalence in individuals with high energy intake, low physical activity measures, or some combination of both. The Nunavut Inuit Child Health Survey was unable to establish a relationship between obesity risk and the consumption of market foods (59,60). In Greenland a study showed that overweight at school entry (age 7 years) predicted overweight in late childhood and adolescence (60).\nThe association between obesity and SES, specifically education, employment, job type and childhood socioeconomic conditions, was examined in 7 studies. Two studies one in adults (58) and one in children (58) failed to find any association between household food insecurity and obesity outcomes. In Greenland, Westernization influenced the development of obesity and metabolic risk, although the processes differed among men and women. For men, risk of obesity and metabolic disease arose through a decrease in traditional hunting and fishing activities; for women, the negative health consequences of Westernization seem to be mediated through differences in SES, mainly educational attainment (47).\nWe compared the obesity prevalence reported in studies of Inuit adults (Table III). In general, higher abdominal obesity prevalence was observed in women than in men. This gender difference was particularly marked in studies reporting abdominal obesity, the sole exception being a Greenland study of adults aged 35–86 years (46) which employed lower WC cutoff values for abdominal obesity.\nPrevalence (%) of obesity and abdominal obesity among Inuit adults by sex and country of study\nObesity classified using WHO cutoff of BMI≥30.\nWC>102 cm for males and WC>88 cm for females, unless otherwise noted.\nWC>94 cm for males and WC>80 cm for females.\nEighty-two percent of studies analyzed risk factors associated with obesity, most commonly metabolic risk factors: lipid profile (44%); serum glucose values (56%); and either serum insulin or insulin resistance or both (13%). Prevalence of hypertension was reported in 34% of adult studies. The tendency for obesity to be significantly associated with insulin resistance, impaired glucose metabolism, and unfavourable lipid profile was widely reported among adults. The metabolic syndrome (MetS) has received increasing interest. Four studies examined the impact of variation in existing diagnostic criteria for MetS (31,37,45,47). Among these studies, reported prevalence of MetS was consistently near 20%. There was considerable discussion about whether abdominal obesity (indicated by high WC) had as deleterious an effect on metabolic risk relative to non-Inuit populations. Two papers called for improved diagnostic criteria for MetS (31,45) and 2 others documented moderate agreement between WHO and National Cholesterol Education Program diagnostic criteria for MetS (37,47).\nRelatively few studies looked at diet and physical activity as risk factors for obesity among Inuit. Twenty-three percent of studies documented increased obesity prevalence in individuals with high energy intake, low physical activity measures, or some combination of both. The Nunavut Inuit Child Health Survey was unable to establish a relationship between obesity risk and the consumption of market foods (59,60). In Greenland a study showed that overweight at school entry (age 7 years) predicted overweight in late childhood and adolescence (60).\nThe association between obesity and SES, specifically education, employment, job type and childhood socioeconomic conditions, was examined in 7 studies. Two studies one in adults (58) and one in children (58) failed to find any association between household food insecurity and obesity outcomes. In Greenland, Westernization influenced the development of obesity and metabolic risk, although the processes differed among men and women. For men, risk of obesity and metabolic disease arose through a decrease in traditional hunting and fishing activities; for women, the negative health consequences of Westernization seem to be mediated through differences in SES, mainly educational attainment (47).", "Thirty-nine percent of studies examined obesity among Canadian Inuit; 24% were set in Alaska and 33% in Greenland. Two studies compared obesity prevalence among all 3 countries. No studies of Siberian Inuit were located.\nThe majority of studies (84%) examined obesity in adults. The age range of adult participants tended to be broad, however, the lower age limit varied considerably (Table I). The exclusion of pregnant subjects was reported in 28% of studies. The study design was exclusively cross-sectional; however, 19% of studies made comparisons to earlier research in order to report temporal trends in obesity metrics.\nThere were 6 studies on children from Canada and Greenland, and none from Alaska. Three of these were retrospective cohorts constructed from Greenland health surveillance data based on growth measures taken in doctors’ offices at age 2 years, at school entry and at various points during childhood and adolescence, which permitted the authors to examine the pattern of obesity onset in Greenland Inuit children and youth ages 2–17 years.\nStudies of circumpolar Inuit children included in the review by country of study, participants, study design and anthropometric indices", "All but one of the studies collected measured, rather than reported data. Age-standardized prevalence of obesity was reported in 47% of studies; the remainder reported only crude prevalence.\nBMI was used as an index of body size in all studies reviewed and was the only metric employed in studies in children. Overall, the majority of studies (66%) employed a combination of anthropometric markers; the most common combinations were BMI+WC (17%) and BMI+WC+WHR (25%). No direct measures of adiposity, such as dual-energy X-ray absorptiometry or computerized tomography, were used.\nStudies at the oldest end of the date range, prior to the publication of universal reference values for BMI, WC and WHR, used a variety of reference standards, such as the 1987 US National Center for Health Statistics standards for men and women (51,52,64) and Bray's BMI cutoff of 26 kg/m2\n(28,65) The majority of studies of adults (63%) employed BMI, WC and WHR cutoffs defined by the World Health Organization (WHO) (66–68).\nAll studies of children undertaken in Greenland used the International Obesity Task Force (IOTF) reference values to define childhood obesity (18). Both the IOTF and the 2000 Centers for Disease Control (CDC) reference (20) were used in the 3 Canadian publications derived from the Nunavut Inuit Child Health Survey (58–60).", "During the QA pilot, there was moderate inter-rater reliability (K=0.43, p=0.046). Raters subsequently reviewed the QA protocol together step-by-step to improve the consistency of rating prior to undertaking QA during the review.\nThe QA rated 26% of studies “A”, 18% “B”, 39% “C” and 16% “D”. Failure to achieve optimal quality scores resulted from a lack of clear definition of variables and data sources, in particular the failure to define obesity as a study variable. In 61% of studies, the authors did not provide adequate rationale for the obesity metric or the reference criteria used. A second major factor in study quality ranking was a lack of discussion of biases and limitations of the selected methodology; this occurred in 76% of studies.", "We compared the obesity prevalence reported in studies of Inuit adults (Table III). In general, higher abdominal obesity prevalence was observed in women than in men. This gender difference was particularly marked in studies reporting abdominal obesity, the sole exception being a Greenland study of adults aged 35–86 years (46) which employed lower WC cutoff values for abdominal obesity.\nPrevalence (%) of obesity and abdominal obesity among Inuit adults by sex and country of study\nObesity classified using WHO cutoff of BMI≥30.\nWC>102 cm for males and WC>88 cm for females, unless otherwise noted.\nWC>94 cm for males and WC>80 cm for females.\nEighty-two percent of studies analyzed risk factors associated with obesity, most commonly metabolic risk factors: lipid profile (44%); serum glucose values (56%); and either serum insulin or insulin resistance or both (13%). Prevalence of hypertension was reported in 34% of adult studies. The tendency for obesity to be significantly associated with insulin resistance, impaired glucose metabolism, and unfavourable lipid profile was widely reported among adults. The metabolic syndrome (MetS) has received increasing interest. Four studies examined the impact of variation in existing diagnostic criteria for MetS (31,37,45,47). Among these studies, reported prevalence of MetS was consistently near 20%. There was considerable discussion about whether abdominal obesity (indicated by high WC) had as deleterious an effect on metabolic risk relative to non-Inuit populations. Two papers called for improved diagnostic criteria for MetS (31,45) and 2 others documented moderate agreement between WHO and National Cholesterol Education Program diagnostic criteria for MetS (37,47).\nRelatively few studies looked at diet and physical activity as risk factors for obesity among Inuit. Twenty-three percent of studies documented increased obesity prevalence in individuals with high energy intake, low physical activity measures, or some combination of both. The Nunavut Inuit Child Health Survey was unable to establish a relationship between obesity risk and the consumption of market foods (59,60). In Greenland a study showed that overweight at school entry (age 7 years) predicted overweight in late childhood and adolescence (60).\nThe association between obesity and SES, specifically education, employment, job type and childhood socioeconomic conditions, was examined in 7 studies. Two studies one in adults (58) and one in children (58) failed to find any association between household food insecurity and obesity outcomes. In Greenland, Westernization influenced the development of obesity and metabolic risk, although the processes differed among men and women. For men, risk of obesity and metabolic disease arose through a decrease in traditional hunting and fishing activities; for women, the negative health consequences of Westernization seem to be mediated through differences in SES, mainly educational attainment (47).", "In terms of overall scope, the literature on obesity in Inuit populations is presently skewed toward studies of adults. This is likely due to the fact that obesity is a strong risk factor of diabetes and cardiovascular disease, which are primarily diseases of adults. There is strong evidence that obesity is increasing, that abdominal obesity is widely prevalent among Inuit women, and that (above a certain threshold not yet well-defined) obesity has a deleterious effect on metabolic and cardiovascular health. In 1996 Young observed that, in past studies, the low prevalence of obesity among Inuit set them apart from other North American Aboriginal populations (28). Studies published since 2000 document a consistent rise in obesity prevalence with increasing prevalence in the WHO class II (BMI 35–39.9) and III (BMI≥40) categories of obesity (38,50,53,54,69). Many studies report disproportionately high prevalence of obesity (measured by BMI) and centripetal fat patterning (measured by WC and WHR) among Inuit women (11,30,32,37,38,52,55).\nThere is substantial evidence that obesity prevalence is increasing in children, which is particularly well documented in Greenland (62,63). The most recent data come from the Nunavut Inuit Child Health Survey, where the prevalence of overweight and obesity (using IOTF cutoffs) in this preschool age sample were 39 and 28%, respectively (58). Such high prevalence raises significant concern over future health and metabolic disease risk in children.\nThere is also strong evidence from Greenland and Nunavut that the age of obesity onset is decreasing, such that obesity has emerged as a significant health concern in Inuit preschoolers (59,62). The decreasing age of onset of overweight is part of a constellation of biological processes (including earlier skeletal maturity, earlier adolescent growth spurt, and decreasing age at menarche) accompanying rapid acculturation to a Western lifestyle (70,71).\nThere are pronounced gaps in our knowledge of obesity among Inuit children, especially adolescents (our review located only 2 studies) (61,63) and no recent data on obesity prevalence among children aged 10–12 years. There are no studies of obesity among children and youth living in Alaska. It is increasingly recognized that many adult health problems have their origin in childhood, and socioeconomic factors operating during childhood has been shown to be associated with adult obesity among Greenlanders (41). Prospective cohort studies offer the opportunity to examine associations between early childhood environment and obesity as well as the relative contribution of obesity and other risk factors to metabolic and cardiovascular health outcomes in Inuit adults.\nIn terms of international comparison, this review located only 2 studies that compared obesity prevalence in adult populations (56,57). While it is likely that obesity and its concomitant health effects are influenced by processes particular to each country, there is nevertheless marked consistency in patterns of risk factors, prevalence and health-related outcomes among Inuit. Examples are changes in diet and physical activity patterns (9,50,58,72) and the role of a marine diet in mitigating some of the negative health effects of acculturation to a Western lifestyle (32,73–76).\nWe make several observations regarding the methodologies currently in use to assess obesity in the circumpolar Inuit. First, while the link between obesity and metabolic/cardiovascular disease risk in this population is well established, there is evidence that current diagnostic thresholds may not reflect the levels of risk experienced by Inuit. Studies demonstrate that for given levels of obesity, Inuit have lower blood pressure, lower levels of glucose, insulin, triglyceride and higher levels of HDL cholesterol than non-Inuit subjects (31,44), prompting some researchers to call for Inuit-specific cutoffs for central obesity measures associated with diabetes and cardiovascular disease outcomes (31,44,57). However, we find consistency in the relationship between rising adiposity and health risks. There is ample evidence that Inuit mortality from cardiovascular disease is at least as high as in non-Inuit populations and that Inuit mortality from cerebrovascular disease is significantly higher (56). Rather than developing ethnic-specific cutoff values, we propose that researchers first undertake validation studies to determine the accuracy of indirect measures of adiposity in Inuit adults and children.\nThere is a dearth of body composition studies among the Inuit. The accumulation of intra-abdominal or visceral fat is a marker of considerable metabolic risk. However without imaging studies (e.g. dual X-ray absorptiometry, computerized tomography, ultrasonography and magnetic resonance imaging) it is not known whether central obesity is predominantly intra-abdominal or subcutaneous. While attempts have been made to more accurately describe fat- and lean-mass distribution in Inuit (77,78) we still know relatively little about fat distribution at various levels of BMI or waist circumference in this population.\nFinally, we observe a general failure to define obesity as a variable. The quality of studies would be significantly improved by careful selection of metrics and reference standards and consistent reporting of limitations. Our review found multiple metrics employed in 66% of studies however BMI was the sole indirect measure of adiposity employed in studies of children. There is evidence that methodologies such as WC, triceps skinfolds and mid-upper arm circumference (MUAC) may be effective tools for obesity screening in children (79,80). Inclusion of these methodologies may assist in the improvement of health surveillance programs for Inuit children. Standardized protocols incorporating hold-out samples and repeat measures would permit reporting of inter- and intra-observer error and technical error of measurement (81), features which would improve both the rigour and comparability of anthropometric studies.\nGiven the logistical challenges of conducting obesity research in the north, it is likely that the majority of future studies will continue to employ indirect measures of adiposity. In order to improve consistency in the use of cutoffs for classifying body weight in Inuit populations, we recommend the following: (a) The use and reporting of WHO cutoffs for adults (67,68) and (b) Until international consensus is reached on the appropriate reference for children, the use and reporting of prevalence determined by both the IOTF (18)\nand WHO growth standard and reference for children (19,21).", "The results of this review indicate that concerted research effort has yielded substantial knowledge about the prevalence and factors associated with obesity in the circumpolar Inuit. With the exception of Inuit in Chukotka, Russia, there is broad geographic coverage of the regions where Inuit reside. Obesity prevalence is high among adults and has risen significantly in selected populations of preschool- and school-aged children. Inuit women are at greater risk of abdominal obesity than Inuit men however in both sexes obesity is associated with elevated metabolic risk factors such as insulin resistance, impaired glucose metabolism and negative trends in lipid profile.\nWhile the quality of studies is generally high and relies on measured, rather than reported, data, research on obesity among Inuit would benefit from emphasis on several areas: careful selection of metrics and reference standards; direct measures of adiposity in adults and children which can be used to determine accurate anthropometric markers of disease risk; studies of preadolescent children; and prospective cohort studies linking early childhood exposures with obesity outcomes throughout childhood and adolescence." ]
[ "methods", null, null, null, null, null, null, "results", null, null, null, null, "discussion", null ]
[ "health", "Aboriginal", "north", "overweight", "adult", "child", "systematic", "Canada, Greenland, Alaska" ]
Materials and methods: Target population Our populations of interest are collectively referred to as Inuit, which extend from the Chukotka peninsula in Russia across Alaska and northern Canada to Greenland. They are known by a variety of self-designated names in different regions (including Yuit, Yupik, Inupiat, Inuvialuit, Inuit and Kalaallit). Our search revealed no English-language studies of obesity on Inuit living in Russia and they are excluded from our scoping review. Our populations of interest are collectively referred to as Inuit, which extend from the Chukotka peninsula in Russia across Alaska and northern Canada to Greenland. They are known by a variety of self-designated names in different regions (including Yuit, Yupik, Inupiat, Inuvialuit, Inuit and Kalaallit). Our search revealed no English-language studies of obesity on Inuit living in Russia and they are excluded from our scoping review. Research questions In 2005 Arksey and O'Malley (15) published a methodological framework which presented 4 purposes for which a scoping review is appropriate:To examine the extent, range and nature of research activity.To determine the value of undertaking a full systematic review.To summarize and disseminate research findings.To identify research gaps in the existing literature.In a subsequent evaluation of the application of this framework, Levac et al. (16) recommended that researchers add clarity and direction by clearly articulating research questions that guide the scope of the review, specifying concepts, target populations and health outcomes of interest, an approach which we have adopted in our study. To examine the extent, range and nature of research activity. To determine the value of undertaking a full systematic review. To summarize and disseminate research findings. To identify research gaps in the existing literature. The present study centres on the first purpose, namely to explore the extent, range and nature of research activity on obesity in the circumpolar Inuit: To what extent has obesity research been undertaken in the circumpolar context? Are all subpopulations and geographic areas represented? What methodologies are employed and are they sufficient to the task of describing risk factors, prevalence and health outcomes associated with obesity? Our study also addresses the third and fourth purposes: What is the prevalence of obesity? What temporal trends, environmental risk factors and health outcomes are associated with obesity in this population? Finally, we undertake comprehensive assessment of the field as a whole and identify gaps in the existing literature: What subgroups of this population are under-researched, what methodologies are underutilized, and what further research is needed? In 2005 Arksey and O'Malley (15) published a methodological framework which presented 4 purposes for which a scoping review is appropriate:To examine the extent, range and nature of research activity.To determine the value of undertaking a full systematic review.To summarize and disseminate research findings.To identify research gaps in the existing literature.In a subsequent evaluation of the application of this framework, Levac et al. (16) recommended that researchers add clarity and direction by clearly articulating research questions that guide the scope of the review, specifying concepts, target populations and health outcomes of interest, an approach which we have adopted in our study. To examine the extent, range and nature of research activity. To determine the value of undertaking a full systematic review. To summarize and disseminate research findings. To identify research gaps in the existing literature. The present study centres on the first purpose, namely to explore the extent, range and nature of research activity on obesity in the circumpolar Inuit: To what extent has obesity research been undertaken in the circumpolar context? Are all subpopulations and geographic areas represented? What methodologies are employed and are they sufficient to the task of describing risk factors, prevalence and health outcomes associated with obesity? Our study also addresses the third and fourth purposes: What is the prevalence of obesity? What temporal trends, environmental risk factors and health outcomes are associated with obesity in this population? Finally, we undertake comprehensive assessment of the field as a whole and identify gaps in the existing literature: What subgroups of this population are under-researched, what methodologies are underutilized, and what further research is needed? Definitions and search strategies We operationalized “obesity” as a condition defined by direct or indirect assessment of excess body fat or adiposity, including body mass index (BMI), various measures of abdominal obesity including waist circumference (WC) and waist-hip ratio (WHR), percent body fat and sum of skinfold thicknesses. We wanted to explore obesity in the widest possible age range. Both the Dietitians of Canada and the Canadian Pediatric Society recommend the use of BMI to screen for overweight and obesity in children 2 or more years of age (17), and a variety of guidelines exist for the identification of obesity in children 2 years and older (18–21). Under the age of 2 years, rapid growth and variety in feeding practices make it difficult to identify children at risk of obesity (21). We have therefore excluded studies of infants and children under 2 years. The online databases Cochrane Library, JSTOR, Medline, PubMed, Science Citation Index, Science Direct and Scopus were used to compile a list of English-language papers. Search terms included a combination of medical subject headings and keywords related to the inquiry: Greenlandic, Inuit, Eskimo, Inupiat, Alaska(n), Aboriginal, indigenous, health, overweight, obesity, adiposity, body fat, body mass index, waist circumference, waist-hip ratio, diabetes, metabolic disease. The websites of national and regional governments and health agencies were searched for relevant published and unpublished documents. The publication records of authors and the reference lists of identified papers were combed for additional related resources. Duplicate citations from the multiple databases were removed. The search identified 115 citations which were assembled in an online Refworks (Refworks-COS, Bethesda, MD) file available to members of the team throughout the review. We operationalized “obesity” as a condition defined by direct or indirect assessment of excess body fat or adiposity, including body mass index (BMI), various measures of abdominal obesity including waist circumference (WC) and waist-hip ratio (WHR), percent body fat and sum of skinfold thicknesses. We wanted to explore obesity in the widest possible age range. Both the Dietitians of Canada and the Canadian Pediatric Society recommend the use of BMI to screen for overweight and obesity in children 2 or more years of age (17), and a variety of guidelines exist for the identification of obesity in children 2 years and older (18–21). Under the age of 2 years, rapid growth and variety in feeding practices make it difficult to identify children at risk of obesity (21). We have therefore excluded studies of infants and children under 2 years. The online databases Cochrane Library, JSTOR, Medline, PubMed, Science Citation Index, Science Direct and Scopus were used to compile a list of English-language papers. Search terms included a combination of medical subject headings and keywords related to the inquiry: Greenlandic, Inuit, Eskimo, Inupiat, Alaska(n), Aboriginal, indigenous, health, overweight, obesity, adiposity, body fat, body mass index, waist circumference, waist-hip ratio, diabetes, metabolic disease. The websites of national and regional governments and health agencies were searched for relevant published and unpublished documents. The publication records of authors and the reference lists of identified papers were combed for additional related resources. Duplicate citations from the multiple databases were removed. The search identified 115 citations which were assembled in an online Refworks (Refworks-COS, Bethesda, MD) file available to members of the team throughout the review. Study selection Inclusion and exclusion criteria were developed based on the objectives of the research. Studies were included in the review on the following basis:The study was published during the 20-year period spanning 1992–2011.Participants were age 2 years or greater.Participants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms.The study included 30 or more participants.“Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor.The study was the result of primary research.Studies on diabetes or cardiovascular diseases were included only if obesity was studied as a risk factor and assessed through direct or indirect means. Studies that included pregnant women or focused on gestational diabetes were excluded. The study was published during the 20-year period spanning 1992–2011. Participants were age 2 years or greater. Participants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms. The study included 30 or more participants. “Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor. The study was the result of primary research. Study selection (Fig. 1) was conducted independently by both the principal reviewer (TG) and a second reviewer (HB). Inter-rater reliability was assessed by the Kappa statistic (K). The review team included authors of several of the papers identified in the literature search. These authors were excluded from selection, data extraction or quality assessment (QA) of their own papers. Flow chart describing study selection process. Inclusion and exclusion criteria were developed based on the objectives of the research. Studies were included in the review on the following basis:The study was published during the 20-year period spanning 1992–2011.Participants were age 2 years or greater.Participants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms.The study included 30 or more participants.“Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor.The study was the result of primary research.Studies on diabetes or cardiovascular diseases were included only if obesity was studied as a risk factor and assessed through direct or indirect means. Studies that included pregnant women or focused on gestational diabetes were excluded. The study was published during the 20-year period spanning 1992–2011. Participants were age 2 years or greater. Participants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms. The study included 30 or more participants. “Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor. The study was the result of primary research. Study selection (Fig. 1) was conducted independently by both the principal reviewer (TG) and a second reviewer (HB). Inter-rater reliability was assessed by the Kappa statistic (K). The review team included authors of several of the papers identified in the literature search. These authors were excluded from selection, data extraction or quality assessment (QA) of their own papers. Flow chart describing study selection process. Data extraction A customized data extraction instrument was developed to explore the scope of the available literature and to compare study design, methodology and results. The instrument summarizes study characteristics and findings, allows for expansion of sections relevant to each study under review, and permits comparisons across studies. Data collected were entered into a spreadsheet made available to the entire review team. A customized data extraction instrument was developed to explore the scope of the available literature and to compare study design, methodology and results. The instrument summarizes study characteristics and findings, allows for expansion of sections relevant to each study under review, and permits comparisons across studies. Data collected were entered into a spreadsheet made available to the entire review team. Quality assessment (QA) We undertook QA of all selected studies using a modified version of the STROBE instrument (22,23) (STrengthening the Reporting of OBservational studies in Epidemiology), a checklist of 22 items designed for cohort, case-control, and cross-sectional studies and intended as a tool to improve the consistency, quality and transparency of epidemiologic reporting. It is not designed to evaluate the quality of the research studies themselves (24,25). A review of 86 published QA instruments yielded no clear candidate for a generic QA tool as the majority of reviewers develop subject-specific instruments (26). We followed the recommendation of Sanderson et al. (26) and used the comprehensive STROBE statement as a starting point for our own QA instrument. However with its emphasis on reporting, STROBE may inflate the quality of studies which are methodologically weak due to small sample size or lack of geographic representativeness. We therefore incorporated elements from the Scottish Intercollegiate Guidelines Network (SIGN) (27) methodology checklist in the development of our QA instrument. The resulting instrument yields a numeric QA score with maximum values that range from 27 to 29 depending on study design. We calculated percentage scores based on the maximum score for each category of study design and classified results as follows: “A” studies (QA score >85%); “B” studies (QA score 76–85%); “C” studies (QA score 61–75%); and “D” studies (QA score≤60%). In accordance with recommendations (28), the QA was piloted prior to implementation. Two reviewers (TG and HB) performed QA on 4 randomly-selected studies (11% of those selected) and the results were compared using the K-statistic. Then QA was performed by one of the reviewers (either TG or HB) on each of the studies reviewed. We use the term “study” in this paper to refer to journal articles and reports. These publications ultimately were based on a far smaller number of research studies or projects conducted in specific regions and are thus not independent. Several publications from one study thus share the same methodological features of the parent study and only the reporting may differ. These publications may report on different “cuts” of the master dataset in terms of age–sex categories or other criteria. Furthermore, some publications report on the result of merging of the datasets of one or more of these studies. We undertook QA of all selected studies using a modified version of the STROBE instrument (22,23) (STrengthening the Reporting of OBservational studies in Epidemiology), a checklist of 22 items designed for cohort, case-control, and cross-sectional studies and intended as a tool to improve the consistency, quality and transparency of epidemiologic reporting. It is not designed to evaluate the quality of the research studies themselves (24,25). A review of 86 published QA instruments yielded no clear candidate for a generic QA tool as the majority of reviewers develop subject-specific instruments (26). We followed the recommendation of Sanderson et al. (26) and used the comprehensive STROBE statement as a starting point for our own QA instrument. However with its emphasis on reporting, STROBE may inflate the quality of studies which are methodologically weak due to small sample size or lack of geographic representativeness. We therefore incorporated elements from the Scottish Intercollegiate Guidelines Network (SIGN) (27) methodology checklist in the development of our QA instrument. The resulting instrument yields a numeric QA score with maximum values that range from 27 to 29 depending on study design. We calculated percentage scores based on the maximum score for each category of study design and classified results as follows: “A” studies (QA score >85%); “B” studies (QA score 76–85%); “C” studies (QA score 61–75%); and “D” studies (QA score≤60%). In accordance with recommendations (28), the QA was piloted prior to implementation. Two reviewers (TG and HB) performed QA on 4 randomly-selected studies (11% of those selected) and the results were compared using the K-statistic. Then QA was performed by one of the reviewers (either TG or HB) on each of the studies reviewed. We use the term “study” in this paper to refer to journal articles and reports. These publications ultimately were based on a far smaller number of research studies or projects conducted in specific regions and are thus not independent. Several publications from one study thus share the same methodological features of the parent study and only the reporting may differ. These publications may report on different “cuts” of the master dataset in terms of age–sex categories or other criteria. Furthermore, some publications report on the result of merging of the datasets of one or more of these studies. Target population: Our populations of interest are collectively referred to as Inuit, which extend from the Chukotka peninsula in Russia across Alaska and northern Canada to Greenland. They are known by a variety of self-designated names in different regions (including Yuit, Yupik, Inupiat, Inuvialuit, Inuit and Kalaallit). Our search revealed no English-language studies of obesity on Inuit living in Russia and they are excluded from our scoping review. Research questions: In 2005 Arksey and O'Malley (15) published a methodological framework which presented 4 purposes for which a scoping review is appropriate:To examine the extent, range and nature of research activity.To determine the value of undertaking a full systematic review.To summarize and disseminate research findings.To identify research gaps in the existing literature.In a subsequent evaluation of the application of this framework, Levac et al. (16) recommended that researchers add clarity and direction by clearly articulating research questions that guide the scope of the review, specifying concepts, target populations and health outcomes of interest, an approach which we have adopted in our study. To examine the extent, range and nature of research activity. To determine the value of undertaking a full systematic review. To summarize and disseminate research findings. To identify research gaps in the existing literature. The present study centres on the first purpose, namely to explore the extent, range and nature of research activity on obesity in the circumpolar Inuit: To what extent has obesity research been undertaken in the circumpolar context? Are all subpopulations and geographic areas represented? What methodologies are employed and are they sufficient to the task of describing risk factors, prevalence and health outcomes associated with obesity? Our study also addresses the third and fourth purposes: What is the prevalence of obesity? What temporal trends, environmental risk factors and health outcomes are associated with obesity in this population? Finally, we undertake comprehensive assessment of the field as a whole and identify gaps in the existing literature: What subgroups of this population are under-researched, what methodologies are underutilized, and what further research is needed? Definitions and search strategies: We operationalized “obesity” as a condition defined by direct or indirect assessment of excess body fat or adiposity, including body mass index (BMI), various measures of abdominal obesity including waist circumference (WC) and waist-hip ratio (WHR), percent body fat and sum of skinfold thicknesses. We wanted to explore obesity in the widest possible age range. Both the Dietitians of Canada and the Canadian Pediatric Society recommend the use of BMI to screen for overweight and obesity in children 2 or more years of age (17), and a variety of guidelines exist for the identification of obesity in children 2 years and older (18–21). Under the age of 2 years, rapid growth and variety in feeding practices make it difficult to identify children at risk of obesity (21). We have therefore excluded studies of infants and children under 2 years. The online databases Cochrane Library, JSTOR, Medline, PubMed, Science Citation Index, Science Direct and Scopus were used to compile a list of English-language papers. Search terms included a combination of medical subject headings and keywords related to the inquiry: Greenlandic, Inuit, Eskimo, Inupiat, Alaska(n), Aboriginal, indigenous, health, overweight, obesity, adiposity, body fat, body mass index, waist circumference, waist-hip ratio, diabetes, metabolic disease. The websites of national and regional governments and health agencies were searched for relevant published and unpublished documents. The publication records of authors and the reference lists of identified papers were combed for additional related resources. Duplicate citations from the multiple databases were removed. The search identified 115 citations which were assembled in an online Refworks (Refworks-COS, Bethesda, MD) file available to members of the team throughout the review. Study selection: Inclusion and exclusion criteria were developed based on the objectives of the research. Studies were included in the review on the following basis:The study was published during the 20-year period spanning 1992–2011.Participants were age 2 years or greater.Participants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms.The study included 30 or more participants.“Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor.The study was the result of primary research.Studies on diabetes or cardiovascular diseases were included only if obesity was studied as a risk factor and assessed through direct or indirect means. Studies that included pregnant women or focused on gestational diabetes were excluded. The study was published during the 20-year period spanning 1992–2011. Participants were age 2 years or greater. Participants were identified in the study as “Greenlandic”, “Inuit” or “Eskimo” or any of the regional self-designated terms. The study included 30 or more participants. “Obesity” or “abdominal obesity” was a primary or secondary outcome variable or associated factor. The study was the result of primary research. Study selection (Fig. 1) was conducted independently by both the principal reviewer (TG) and a second reviewer (HB). Inter-rater reliability was assessed by the Kappa statistic (K). The review team included authors of several of the papers identified in the literature search. These authors were excluded from selection, data extraction or quality assessment (QA) of their own papers. Flow chart describing study selection process. Data extraction: A customized data extraction instrument was developed to explore the scope of the available literature and to compare study design, methodology and results. The instrument summarizes study characteristics and findings, allows for expansion of sections relevant to each study under review, and permits comparisons across studies. Data collected were entered into a spreadsheet made available to the entire review team. Quality assessment (QA): We undertook QA of all selected studies using a modified version of the STROBE instrument (22,23) (STrengthening the Reporting of OBservational studies in Epidemiology), a checklist of 22 items designed for cohort, case-control, and cross-sectional studies and intended as a tool to improve the consistency, quality and transparency of epidemiologic reporting. It is not designed to evaluate the quality of the research studies themselves (24,25). A review of 86 published QA instruments yielded no clear candidate for a generic QA tool as the majority of reviewers develop subject-specific instruments (26). We followed the recommendation of Sanderson et al. (26) and used the comprehensive STROBE statement as a starting point for our own QA instrument. However with its emphasis on reporting, STROBE may inflate the quality of studies which are methodologically weak due to small sample size or lack of geographic representativeness. We therefore incorporated elements from the Scottish Intercollegiate Guidelines Network (SIGN) (27) methodology checklist in the development of our QA instrument. The resulting instrument yields a numeric QA score with maximum values that range from 27 to 29 depending on study design. We calculated percentage scores based on the maximum score for each category of study design and classified results as follows: “A” studies (QA score >85%); “B” studies (QA score 76–85%); “C” studies (QA score 61–75%); and “D” studies (QA score≤60%). In accordance with recommendations (28), the QA was piloted prior to implementation. Two reviewers (TG and HB) performed QA on 4 randomly-selected studies (11% of those selected) and the results were compared using the K-statistic. Then QA was performed by one of the reviewers (either TG or HB) on each of the studies reviewed. We use the term “study” in this paper to refer to journal articles and reports. These publications ultimately were based on a far smaller number of research studies or projects conducted in specific regions and are thus not independent. Several publications from one study thus share the same methodological features of the parent study and only the reporting may differ. These publications may report on different “cuts” of the master dataset in terms of age–sex categories or other criteria. Furthermore, some publications report on the result of merging of the datasets of one or more of these studies. Results: Application of study selection criteria resulted in the inclusion of 38 studies in the review (Tables I and II). The inter-rater reliability for the study selection was extremely strong (weighted K=0.90, p<0.001). Studies of adult circumpolar Inuit included in the review by country of study, sample size, participants, study design and anthropometric measures/indices Geographic coverage, participants and study design Thirty-nine percent of studies examined obesity among Canadian Inuit; 24% were set in Alaska and 33% in Greenland. Two studies compared obesity prevalence among all 3 countries. No studies of Siberian Inuit were located. The majority of studies (84%) examined obesity in adults. The age range of adult participants tended to be broad, however, the lower age limit varied considerably (Table I). The exclusion of pregnant subjects was reported in 28% of studies. The study design was exclusively cross-sectional; however, 19% of studies made comparisons to earlier research in order to report temporal trends in obesity metrics. There were 6 studies on children from Canada and Greenland, and none from Alaska. Three of these were retrospective cohorts constructed from Greenland health surveillance data based on growth measures taken in doctors’ offices at age 2 years, at school entry and at various points during childhood and adolescence, which permitted the authors to examine the pattern of obesity onset in Greenland Inuit children and youth ages 2–17 years. Studies of circumpolar Inuit children included in the review by country of study, participants, study design and anthropometric indices Thirty-nine percent of studies examined obesity among Canadian Inuit; 24% were set in Alaska and 33% in Greenland. Two studies compared obesity prevalence among all 3 countries. No studies of Siberian Inuit were located. The majority of studies (84%) examined obesity in adults. The age range of adult participants tended to be broad, however, the lower age limit varied considerably (Table I). The exclusion of pregnant subjects was reported in 28% of studies. The study design was exclusively cross-sectional; however, 19% of studies made comparisons to earlier research in order to report temporal trends in obesity metrics. There were 6 studies on children from Canada and Greenland, and none from Alaska. Three of these were retrospective cohorts constructed from Greenland health surveillance data based on growth measures taken in doctors’ offices at age 2 years, at school entry and at various points during childhood and adolescence, which permitted the authors to examine the pattern of obesity onset in Greenland Inuit children and youth ages 2–17 years. Studies of circumpolar Inuit children included in the review by country of study, participants, study design and anthropometric indices Measurement, metrics and reference standards All but one of the studies collected measured, rather than reported data. Age-standardized prevalence of obesity was reported in 47% of studies; the remainder reported only crude prevalence. BMI was used as an index of body size in all studies reviewed and was the only metric employed in studies in children. Overall, the majority of studies (66%) employed a combination of anthropometric markers; the most common combinations were BMI+WC (17%) and BMI+WC+WHR (25%). No direct measures of adiposity, such as dual-energy X-ray absorptiometry or computerized tomography, were used. Studies at the oldest end of the date range, prior to the publication of universal reference values for BMI, WC and WHR, used a variety of reference standards, such as the 1987 US National Center for Health Statistics standards for men and women (51,52,64) and Bray's BMI cutoff of 26 kg/m2 (28,65) The majority of studies of adults (63%) employed BMI, WC and WHR cutoffs defined by the World Health Organization (WHO) (66–68). All studies of children undertaken in Greenland used the International Obesity Task Force (IOTF) reference values to define childhood obesity (18). Both the IOTF and the 2000 Centers for Disease Control (CDC) reference (20) were used in the 3 Canadian publications derived from the Nunavut Inuit Child Health Survey (58–60). All but one of the studies collected measured, rather than reported data. Age-standardized prevalence of obesity was reported in 47% of studies; the remainder reported only crude prevalence. BMI was used as an index of body size in all studies reviewed and was the only metric employed in studies in children. Overall, the majority of studies (66%) employed a combination of anthropometric markers; the most common combinations were BMI+WC (17%) and BMI+WC+WHR (25%). No direct measures of adiposity, such as dual-energy X-ray absorptiometry or computerized tomography, were used. Studies at the oldest end of the date range, prior to the publication of universal reference values for BMI, WC and WHR, used a variety of reference standards, such as the 1987 US National Center for Health Statistics standards for men and women (51,52,64) and Bray's BMI cutoff of 26 kg/m2 (28,65) The majority of studies of adults (63%) employed BMI, WC and WHR cutoffs defined by the World Health Organization (WHO) (66–68). All studies of children undertaken in Greenland used the International Obesity Task Force (IOTF) reference values to define childhood obesity (18). Both the IOTF and the 2000 Centers for Disease Control (CDC) reference (20) were used in the 3 Canadian publications derived from the Nunavut Inuit Child Health Survey (58–60). Quality assessment During the QA pilot, there was moderate inter-rater reliability (K=0.43, p=0.046). Raters subsequently reviewed the QA protocol together step-by-step to improve the consistency of rating prior to undertaking QA during the review. The QA rated 26% of studies “A”, 18% “B”, 39% “C” and 16% “D”. Failure to achieve optimal quality scores resulted from a lack of clear definition of variables and data sources, in particular the failure to define obesity as a study variable. In 61% of studies, the authors did not provide adequate rationale for the obesity metric or the reference criteria used. A second major factor in study quality ranking was a lack of discussion of biases and limitations of the selected methodology; this occurred in 76% of studies. During the QA pilot, there was moderate inter-rater reliability (K=0.43, p=0.046). Raters subsequently reviewed the QA protocol together step-by-step to improve the consistency of rating prior to undertaking QA during the review. The QA rated 26% of studies “A”, 18% “B”, 39% “C” and 16% “D”. Failure to achieve optimal quality scores resulted from a lack of clear definition of variables and data sources, in particular the failure to define obesity as a study variable. In 61% of studies, the authors did not provide adequate rationale for the obesity metric or the reference criteria used. A second major factor in study quality ranking was a lack of discussion of biases and limitations of the selected methodology; this occurred in 76% of studies. Prevalence of obesity, associated risk factors and health outcomes We compared the obesity prevalence reported in studies of Inuit adults (Table III). In general, higher abdominal obesity prevalence was observed in women than in men. This gender difference was particularly marked in studies reporting abdominal obesity, the sole exception being a Greenland study of adults aged 35–86 years (46) which employed lower WC cutoff values for abdominal obesity. Prevalence (%) of obesity and abdominal obesity among Inuit adults by sex and country of study Obesity classified using WHO cutoff of BMI≥30. WC>102 cm for males and WC>88 cm for females, unless otherwise noted. WC>94 cm for males and WC>80 cm for females. Eighty-two percent of studies analyzed risk factors associated with obesity, most commonly metabolic risk factors: lipid profile (44%); serum glucose values (56%); and either serum insulin or insulin resistance or both (13%). Prevalence of hypertension was reported in 34% of adult studies. The tendency for obesity to be significantly associated with insulin resistance, impaired glucose metabolism, and unfavourable lipid profile was widely reported among adults. The metabolic syndrome (MetS) has received increasing interest. Four studies examined the impact of variation in existing diagnostic criteria for MetS (31,37,45,47). Among these studies, reported prevalence of MetS was consistently near 20%. There was considerable discussion about whether abdominal obesity (indicated by high WC) had as deleterious an effect on metabolic risk relative to non-Inuit populations. Two papers called for improved diagnostic criteria for MetS (31,45) and 2 others documented moderate agreement between WHO and National Cholesterol Education Program diagnostic criteria for MetS (37,47). Relatively few studies looked at diet and physical activity as risk factors for obesity among Inuit. Twenty-three percent of studies documented increased obesity prevalence in individuals with high energy intake, low physical activity measures, or some combination of both. The Nunavut Inuit Child Health Survey was unable to establish a relationship between obesity risk and the consumption of market foods (59,60). In Greenland a study showed that overweight at school entry (age 7 years) predicted overweight in late childhood and adolescence (60). The association between obesity and SES, specifically education, employment, job type and childhood socioeconomic conditions, was examined in 7 studies. Two studies one in adults (58) and one in children (58) failed to find any association between household food insecurity and obesity outcomes. In Greenland, Westernization influenced the development of obesity and metabolic risk, although the processes differed among men and women. For men, risk of obesity and metabolic disease arose through a decrease in traditional hunting and fishing activities; for women, the negative health consequences of Westernization seem to be mediated through differences in SES, mainly educational attainment (47). We compared the obesity prevalence reported in studies of Inuit adults (Table III). In general, higher abdominal obesity prevalence was observed in women than in men. This gender difference was particularly marked in studies reporting abdominal obesity, the sole exception being a Greenland study of adults aged 35–86 years (46) which employed lower WC cutoff values for abdominal obesity. Prevalence (%) of obesity and abdominal obesity among Inuit adults by sex and country of study Obesity classified using WHO cutoff of BMI≥30. WC>102 cm for males and WC>88 cm for females, unless otherwise noted. WC>94 cm for males and WC>80 cm for females. Eighty-two percent of studies analyzed risk factors associated with obesity, most commonly metabolic risk factors: lipid profile (44%); serum glucose values (56%); and either serum insulin or insulin resistance or both (13%). Prevalence of hypertension was reported in 34% of adult studies. The tendency for obesity to be significantly associated with insulin resistance, impaired glucose metabolism, and unfavourable lipid profile was widely reported among adults. The metabolic syndrome (MetS) has received increasing interest. Four studies examined the impact of variation in existing diagnostic criteria for MetS (31,37,45,47). Among these studies, reported prevalence of MetS was consistently near 20%. There was considerable discussion about whether abdominal obesity (indicated by high WC) had as deleterious an effect on metabolic risk relative to non-Inuit populations. Two papers called for improved diagnostic criteria for MetS (31,45) and 2 others documented moderate agreement between WHO and National Cholesterol Education Program diagnostic criteria for MetS (37,47). Relatively few studies looked at diet and physical activity as risk factors for obesity among Inuit. Twenty-three percent of studies documented increased obesity prevalence in individuals with high energy intake, low physical activity measures, or some combination of both. The Nunavut Inuit Child Health Survey was unable to establish a relationship between obesity risk and the consumption of market foods (59,60). In Greenland a study showed that overweight at school entry (age 7 years) predicted overweight in late childhood and adolescence (60). The association between obesity and SES, specifically education, employment, job type and childhood socioeconomic conditions, was examined in 7 studies. Two studies one in adults (58) and one in children (58) failed to find any association between household food insecurity and obesity outcomes. In Greenland, Westernization influenced the development of obesity and metabolic risk, although the processes differed among men and women. For men, risk of obesity and metabolic disease arose through a decrease in traditional hunting and fishing activities; for women, the negative health consequences of Westernization seem to be mediated through differences in SES, mainly educational attainment (47). Geographic coverage, participants and study design: Thirty-nine percent of studies examined obesity among Canadian Inuit; 24% were set in Alaska and 33% in Greenland. Two studies compared obesity prevalence among all 3 countries. No studies of Siberian Inuit were located. The majority of studies (84%) examined obesity in adults. The age range of adult participants tended to be broad, however, the lower age limit varied considerably (Table I). The exclusion of pregnant subjects was reported in 28% of studies. The study design was exclusively cross-sectional; however, 19% of studies made comparisons to earlier research in order to report temporal trends in obesity metrics. There were 6 studies on children from Canada and Greenland, and none from Alaska. Three of these were retrospective cohorts constructed from Greenland health surveillance data based on growth measures taken in doctors’ offices at age 2 years, at school entry and at various points during childhood and adolescence, which permitted the authors to examine the pattern of obesity onset in Greenland Inuit children and youth ages 2–17 years. Studies of circumpolar Inuit children included in the review by country of study, participants, study design and anthropometric indices Measurement, metrics and reference standards: All but one of the studies collected measured, rather than reported data. Age-standardized prevalence of obesity was reported in 47% of studies; the remainder reported only crude prevalence. BMI was used as an index of body size in all studies reviewed and was the only metric employed in studies in children. Overall, the majority of studies (66%) employed a combination of anthropometric markers; the most common combinations were BMI+WC (17%) and BMI+WC+WHR (25%). No direct measures of adiposity, such as dual-energy X-ray absorptiometry or computerized tomography, were used. Studies at the oldest end of the date range, prior to the publication of universal reference values for BMI, WC and WHR, used a variety of reference standards, such as the 1987 US National Center for Health Statistics standards for men and women (51,52,64) and Bray's BMI cutoff of 26 kg/m2 (28,65) The majority of studies of adults (63%) employed BMI, WC and WHR cutoffs defined by the World Health Organization (WHO) (66–68). All studies of children undertaken in Greenland used the International Obesity Task Force (IOTF) reference values to define childhood obesity (18). Both the IOTF and the 2000 Centers for Disease Control (CDC) reference (20) were used in the 3 Canadian publications derived from the Nunavut Inuit Child Health Survey (58–60). Quality assessment: During the QA pilot, there was moderate inter-rater reliability (K=0.43, p=0.046). Raters subsequently reviewed the QA protocol together step-by-step to improve the consistency of rating prior to undertaking QA during the review. The QA rated 26% of studies “A”, 18% “B”, 39% “C” and 16% “D”. Failure to achieve optimal quality scores resulted from a lack of clear definition of variables and data sources, in particular the failure to define obesity as a study variable. In 61% of studies, the authors did not provide adequate rationale for the obesity metric or the reference criteria used. A second major factor in study quality ranking was a lack of discussion of biases and limitations of the selected methodology; this occurred in 76% of studies. Prevalence of obesity, associated risk factors and health outcomes: We compared the obesity prevalence reported in studies of Inuit adults (Table III). In general, higher abdominal obesity prevalence was observed in women than in men. This gender difference was particularly marked in studies reporting abdominal obesity, the sole exception being a Greenland study of adults aged 35–86 years (46) which employed lower WC cutoff values for abdominal obesity. Prevalence (%) of obesity and abdominal obesity among Inuit adults by sex and country of study Obesity classified using WHO cutoff of BMI≥30. WC>102 cm for males and WC>88 cm for females, unless otherwise noted. WC>94 cm for males and WC>80 cm for females. Eighty-two percent of studies analyzed risk factors associated with obesity, most commonly metabolic risk factors: lipid profile (44%); serum glucose values (56%); and either serum insulin or insulin resistance or both (13%). Prevalence of hypertension was reported in 34% of adult studies. The tendency for obesity to be significantly associated with insulin resistance, impaired glucose metabolism, and unfavourable lipid profile was widely reported among adults. The metabolic syndrome (MetS) has received increasing interest. Four studies examined the impact of variation in existing diagnostic criteria for MetS (31,37,45,47). Among these studies, reported prevalence of MetS was consistently near 20%. There was considerable discussion about whether abdominal obesity (indicated by high WC) had as deleterious an effect on metabolic risk relative to non-Inuit populations. Two papers called for improved diagnostic criteria for MetS (31,45) and 2 others documented moderate agreement between WHO and National Cholesterol Education Program diagnostic criteria for MetS (37,47). Relatively few studies looked at diet and physical activity as risk factors for obesity among Inuit. Twenty-three percent of studies documented increased obesity prevalence in individuals with high energy intake, low physical activity measures, or some combination of both. The Nunavut Inuit Child Health Survey was unable to establish a relationship between obesity risk and the consumption of market foods (59,60). In Greenland a study showed that overweight at school entry (age 7 years) predicted overweight in late childhood and adolescence (60). The association between obesity and SES, specifically education, employment, job type and childhood socioeconomic conditions, was examined in 7 studies. Two studies one in adults (58) and one in children (58) failed to find any association between household food insecurity and obesity outcomes. In Greenland, Westernization influenced the development of obesity and metabolic risk, although the processes differed among men and women. For men, risk of obesity and metabolic disease arose through a decrease in traditional hunting and fishing activities; for women, the negative health consequences of Westernization seem to be mediated through differences in SES, mainly educational attainment (47). Discussion: In terms of overall scope, the literature on obesity in Inuit populations is presently skewed toward studies of adults. This is likely due to the fact that obesity is a strong risk factor of diabetes and cardiovascular disease, which are primarily diseases of adults. There is strong evidence that obesity is increasing, that abdominal obesity is widely prevalent among Inuit women, and that (above a certain threshold not yet well-defined) obesity has a deleterious effect on metabolic and cardiovascular health. In 1996 Young observed that, in past studies, the low prevalence of obesity among Inuit set them apart from other North American Aboriginal populations (28). Studies published since 2000 document a consistent rise in obesity prevalence with increasing prevalence in the WHO class II (BMI 35–39.9) and III (BMI≥40) categories of obesity (38,50,53,54,69). Many studies report disproportionately high prevalence of obesity (measured by BMI) and centripetal fat patterning (measured by WC and WHR) among Inuit women (11,30,32,37,38,52,55). There is substantial evidence that obesity prevalence is increasing in children, which is particularly well documented in Greenland (62,63). The most recent data come from the Nunavut Inuit Child Health Survey, where the prevalence of overweight and obesity (using IOTF cutoffs) in this preschool age sample were 39 and 28%, respectively (58). Such high prevalence raises significant concern over future health and metabolic disease risk in children. There is also strong evidence from Greenland and Nunavut that the age of obesity onset is decreasing, such that obesity has emerged as a significant health concern in Inuit preschoolers (59,62). The decreasing age of onset of overweight is part of a constellation of biological processes (including earlier skeletal maturity, earlier adolescent growth spurt, and decreasing age at menarche) accompanying rapid acculturation to a Western lifestyle (70,71). There are pronounced gaps in our knowledge of obesity among Inuit children, especially adolescents (our review located only 2 studies) (61,63) and no recent data on obesity prevalence among children aged 10–12 years. There are no studies of obesity among children and youth living in Alaska. It is increasingly recognized that many adult health problems have their origin in childhood, and socioeconomic factors operating during childhood has been shown to be associated with adult obesity among Greenlanders (41). Prospective cohort studies offer the opportunity to examine associations between early childhood environment and obesity as well as the relative contribution of obesity and other risk factors to metabolic and cardiovascular health outcomes in Inuit adults. In terms of international comparison, this review located only 2 studies that compared obesity prevalence in adult populations (56,57). While it is likely that obesity and its concomitant health effects are influenced by processes particular to each country, there is nevertheless marked consistency in patterns of risk factors, prevalence and health-related outcomes among Inuit. Examples are changes in diet and physical activity patterns (9,50,58,72) and the role of a marine diet in mitigating some of the negative health effects of acculturation to a Western lifestyle (32,73–76). We make several observations regarding the methodologies currently in use to assess obesity in the circumpolar Inuit. First, while the link between obesity and metabolic/cardiovascular disease risk in this population is well established, there is evidence that current diagnostic thresholds may not reflect the levels of risk experienced by Inuit. Studies demonstrate that for given levels of obesity, Inuit have lower blood pressure, lower levels of glucose, insulin, triglyceride and higher levels of HDL cholesterol than non-Inuit subjects (31,44), prompting some researchers to call for Inuit-specific cutoffs for central obesity measures associated with diabetes and cardiovascular disease outcomes (31,44,57). However, we find consistency in the relationship between rising adiposity and health risks. There is ample evidence that Inuit mortality from cardiovascular disease is at least as high as in non-Inuit populations and that Inuit mortality from cerebrovascular disease is significantly higher (56). Rather than developing ethnic-specific cutoff values, we propose that researchers first undertake validation studies to determine the accuracy of indirect measures of adiposity in Inuit adults and children. There is a dearth of body composition studies among the Inuit. The accumulation of intra-abdominal or visceral fat is a marker of considerable metabolic risk. However without imaging studies (e.g. dual X-ray absorptiometry, computerized tomography, ultrasonography and magnetic resonance imaging) it is not known whether central obesity is predominantly intra-abdominal or subcutaneous. While attempts have been made to more accurately describe fat- and lean-mass distribution in Inuit (77,78) we still know relatively little about fat distribution at various levels of BMI or waist circumference in this population. Finally, we observe a general failure to define obesity as a variable. The quality of studies would be significantly improved by careful selection of metrics and reference standards and consistent reporting of limitations. Our review found multiple metrics employed in 66% of studies however BMI was the sole indirect measure of adiposity employed in studies of children. There is evidence that methodologies such as WC, triceps skinfolds and mid-upper arm circumference (MUAC) may be effective tools for obesity screening in children (79,80). Inclusion of these methodologies may assist in the improvement of health surveillance programs for Inuit children. Standardized protocols incorporating hold-out samples and repeat measures would permit reporting of inter- and intra-observer error and technical error of measurement (81), features which would improve both the rigour and comparability of anthropometric studies. Given the logistical challenges of conducting obesity research in the north, it is likely that the majority of future studies will continue to employ indirect measures of adiposity. In order to improve consistency in the use of cutoffs for classifying body weight in Inuit populations, we recommend the following: (a) The use and reporting of WHO cutoffs for adults (67,68) and (b) Until international consensus is reached on the appropriate reference for children, the use and reporting of prevalence determined by both the IOTF (18) and WHO growth standard and reference for children (19,21). Conclusion: The results of this review indicate that concerted research effort has yielded substantial knowledge about the prevalence and factors associated with obesity in the circumpolar Inuit. With the exception of Inuit in Chukotka, Russia, there is broad geographic coverage of the regions where Inuit reside. Obesity prevalence is high among adults and has risen significantly in selected populations of preschool- and school-aged children. Inuit women are at greater risk of abdominal obesity than Inuit men however in both sexes obesity is associated with elevated metabolic risk factors such as insulin resistance, impaired glucose metabolism and negative trends in lipid profile. While the quality of studies is generally high and relies on measured, rather than reported, data, research on obesity among Inuit would benefit from emphasis on several areas: careful selection of metrics and reference standards; direct measures of adiposity in adults and children which can be used to determine accurate anthropometric markers of disease risk; studies of preadolescent children; and prospective cohort studies linking early childhood exposures with obesity outcomes throughout childhood and adolescence.
Background: Among circumpolar populations, recent research has documented a significant increase in risk factors which are commonly associated with chronic disease, notably obesity. Methods: Online databases were used to identify papers published 1992-2011, from which we selected 38 publications from Canada, the United States, and Greenland that used obesity as a primary or secondary outcome variable in 30 or more non-pregnant Inuit ("Eskimo") participants aged 2 years or older. Results: The majority of publications (92%) reported cross-sectional studies while 8% examined retrospective cohorts. All but one of the studies collected measured data. Overall 84% of the publications examined obesity in adults. Those examining obesity in children focused on early childhood or adolescence. While most (66%) reported 1 or more anthropometric indices, none incorporated direct measures of adiposity. Evaluated using a customized quality assessment instrument, 26% of studies achieved an "A" quality ranking, while 18 and 39% achieved quality rankings of "B" and "C", respectively. Conclusions: While the quality of studies is generally high, research on obesity among Inuit would benefit from careful selection of methods and reference standards, direct measures of adiposity in adults and children, studies of preadolescent children, and prospective cohort studies linking early childhood exposures with obesity outcomes throughout childhood and adolescence.
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9,883
264
[ 80, 318, 337, 321, 66, 465, 221, 274, 158, 531, 192 ]
14
[ "obesity", "studies", "study", "inuit", "qa", "research", "prevalence", "health", "review", "risk" ]
[ "literature obesity inuit", "inuit reside obesity", "obesity canadian inuit", "prevalence obesity inuit", "obesity circumpolar inuit" ]
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[CONTENT] health | Aboriginal | north | overweight | adult | child | systematic | Canada, Greenland, Alaska [SUMMARY]
[CONTENT] health | Aboriginal | north | overweight | adult | child | systematic | Canada, Greenland, Alaska [SUMMARY]
[CONTENT] health | Aboriginal | north | overweight | adult | child | systematic | Canada, Greenland, Alaska [SUMMARY]
[CONTENT] health | Aboriginal | north | overweight | adult | child | systematic | Canada, Greenland, Alaska [SUMMARY]
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[CONTENT] Adolescent | Adult | Aged | Arctic Regions | Canada | Child | Child, Preschool | Female | Humans | Inuit | Male | Middle Aged | Obesity | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Aged | Arctic Regions | Canada | Child | Child, Preschool | Female | Humans | Inuit | Male | Middle Aged | Obesity | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Aged | Arctic Regions | Canada | Child | Child, Preschool | Female | Humans | Inuit | Male | Middle Aged | Obesity | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Aged | Arctic Regions | Canada | Child | Child, Preschool | Female | Humans | Inuit | Male | Middle Aged | Obesity | Young Adult [SUMMARY]
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[CONTENT] literature obesity inuit | inuit reside obesity | obesity canadian inuit | prevalence obesity inuit | obesity circumpolar inuit [SUMMARY]
[CONTENT] literature obesity inuit | inuit reside obesity | obesity canadian inuit | prevalence obesity inuit | obesity circumpolar inuit [SUMMARY]
[CONTENT] literature obesity inuit | inuit reside obesity | obesity canadian inuit | prevalence obesity inuit | obesity circumpolar inuit [SUMMARY]
[CONTENT] literature obesity inuit | inuit reside obesity | obesity canadian inuit | prevalence obesity inuit | obesity circumpolar inuit [SUMMARY]
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[CONTENT] obesity | studies | study | inuit | qa | research | prevalence | health | review | risk [SUMMARY]
[CONTENT] obesity | studies | study | inuit | qa | research | prevalence | health | review | risk [SUMMARY]
[CONTENT] obesity | studies | study | inuit | qa | research | prevalence | health | review | risk [SUMMARY]
[CONTENT] obesity | studies | study | inuit | qa | research | prevalence | health | review | risk [SUMMARY]
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[CONTENT] study | qa | research | obesity | studies | score | instrument | included | qa score | participants [SUMMARY]
[CONTENT] studies | obesity | wc | reported | study | prevalence | mets | greenland | inuit | adults [SUMMARY]
[CONTENT] inuit | obesity | children | risk | high | childhood | factors | adults | obesity inuit | associated [SUMMARY]
[CONTENT] obesity | studies | study | inuit | qa | research | children | prevalence | health | risk [SUMMARY]
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[CONTENT] 1992-2011 | 38 | Canada | the United States | Greenland | 30 | Inuit ||| 2 years or [SUMMARY]
[CONTENT] 92% | 8% ||| ||| 84% ||| ||| 66% | 1 ||| 26% | 18 | 39% [SUMMARY]
[CONTENT] Inuit [SUMMARY]
[CONTENT] ||| 1992-2011 | 38 | Canada | the United States | Greenland | 30 | Inuit | 2 years or ||| ||| 92% | 8% ||| ||| 84% ||| ||| 66% | 1 ||| 26% | 18 | 39% ||| Inuit [SUMMARY]
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Identification of novel biomarkers for sepsis diagnosis via serum proteomic analysis using iTRAQ-2D-LC-MS/MS.
34825737
Sepsis is a common cause of morbidity and mortality in the ICU patients. Early diagnosis and appropriate patient management is the key to improve the patient survival and to limit disabilities in sepsis patients. This study was aimed to find new diagnostic biomarkers of sepsis.
BACKGROUND
In this study, serum proteomic profiles in sepsis patients by iTRAQ2D-LC-MS/MS. Thirty seven differentially expressed proteins were identified in patients with sepsis, and six proteins including ApoC3, SERPINA1, VCAM1, B2M, GPX3, and ApoE were selected for further verification by ELISA and immunoturbidimetry in 53 patients of non-sepsis, 37 patients of sepsis, and 35 patients of septic shock. Descriptive statistics, functional enrichment analysis, and ROC curve analysis were conducted.
METHODS
The level of ApoC3 was gradually decreased among non-sepsis, sepsis, and septic shock groups (p = 0.049). The levels of VCAM1 (p = 0.010), B2M (p = 0.004), and ApoE (p = 0.039) were showing an increased tread in three groups, with the peak values of B2M and ApoE in the sepsis group. ROC curve analysis for septic diagnosis showed that the areas under ROC curve (AUC) of ApoC3, VCAM1, B2M, and ApoE were 0.625, 0.679, 0.581, and 0.619, respectively, which were lower than that of PCT (AUC 0.717) and CRP (AUC 0.706), but there were no significant differences between each index and PCT or CRP. The combination including four validated indexes and two classical infection indexes for septic diagnosis had the highest AUC-ROC of 0.772.
RESULTS
Proteins of ApoC3, VCAM1, B2M, and ApoE provide a supplement to classical biomarkers for septic diagnosis.
CONCLUSION
[ "Adult", "Aged", "Aged, 80 and over", "Biomarkers", "Blood Proteins", "Chromatography, Liquid", "Female", "Humans", "Isotope Labeling", "Male", "Middle Aged", "Proteome", "Proteomics", "ROC Curve", "Sepsis", "Tandem Mass Spectrometry" ]
8761403
INTRODUCTION
Sepsis might lead to poor organ function or insufficient blood flow when the body responds to an infection, 1 which are common causes of morbidity and mortality in the intensive care unit (ICU) patients. It is estimated that there are annually 19.4 million sepsis cases with potentially high deaths in the high‐income countries as North America, Europe, Asia, and Australia. Considering a higher prevalence of sepsis in the low‐ and middle‐income countries, 2 it is suspected that the global epidemiological burden of sepsis is still difficult to be relieved. Early diagnosis and appropriate patient management are the key to improve the survival and to limit disabilities in sepsis patients. 3 Sepsis is a heterogeneous syndrome, as a consequence, it is challenging to identify at early course of the disease, even based on the sepsis 2.0 or sepsis 3.0 diagnostic criteria. Proved by the extensive laboratory and clinical studies on sepsis, biomarkers are able to provide adjunctive information about the pathogenesis of sepsis and guide rapid diagnosis. Procalcitonin (PCT) level rises quickly after the onset of infection, serving as a superior biomarker for evaluating suspected septic patients. 4 C‐reactive protein (CRP), interleukin‐27 (IL‐27), and neutrophil CD64 (nCD64), with different sensitivity and specificity, were infection markers for early diagnose of sepsis. 5 Besides serving as infection markers, heparin‐binding protein (HBP) and sphingosine‐1‐phosphate, which could induce endothelial cell dysfunction, were also involved in the pathogenesis and development of sepsis. 6 , 7 , 8 It is worth mentioning that the increase of HBP level can be detected 10.5 h prior to the development of organ dysfunction, which provides a reference for the early diagnosis and clinical management of sepsis. 9 Host immune system response is invoked early in sepsis to regulate both pro‐inflammatory and anti‐inflammatory responses. HLA‐DR and PDL1 expression on monocytes, TNF production by LPS‐stimulated whole blood cells, were potential biomarkers for innate immunity, and PD1 expression on CD4+ or CD8+ cells, IFN‐γ production by T cells, and number of circulating regulatory T cells were potential biomarkers for adaptive immunity in sepsis. 10 In 2010, Pierrakos and Vincent 11  summarized that at least 178 different sepsis biomarkers have been reported. Only 16 factors were evaluated specifically for the early diagnosis of sepsis, and 5 of these, IL‐12, interferon‐induced protein 10 (IP‐10), Group Ⅱ phospholipase 2 (PLA2‐Ⅱ), CD64, and neutrophil CD11b with high sensitivity and specificity up to 90%. However, only few biomarkers have been used in the clinical testing so far. As been called “one of the oldest and most elusive syndromes in medicine,” 12 different biochemical and immunological pathways are involved in sepsis, and a variety levels of proteins have changed in human serum. In this sense, a set of biomarkers works superior to a single biomarker. Isobaric tag for relative and absolute quantification labeling coupled with two‐dimensional liquid chromatography‐tandem mass spectrometry (iTRAQ‐2DLC‐MS/MS) is a proteomics method comparing samples between different groups to screen out a batch of differentially expressed proteins for further identification. 13 In recent years, several iTRAQ‐2D‐LC‐MS/MS studies on sepsis were performed. Su et al. 14 brought insights into the prognosis of sepsis using iTRAQ‐2D‐LC‐MS/MS. They identified seven urinary proteins and verified that downregulated LAMP‐1 level may be useful for prognostic assessment of sepsis. Cao et al. 15 proved that proteins involved in the acute phase response, coagulation signaling, atherosclerosis signaling, lipid metabolism, and production of nitric oxide, and reactive oxygen species were associated with community‐acquired pneumonia which would induce sepsis in the elderly. Jiao et al. 16 compared serum proteins of septic rats with controls, together with different time points of the survivor and non‐survivor rats, finding five proteins were tightly correlated with the presence of sepsis after verified, and four proteins were related to the prognosis of sepsis. Bian et al. 17 found the mechanism of H2 in the treatment of sepsis mice by proteomic approaches, which might be helpful for the clinical application of H2 in sepsis patients. The development of experimental techniques and methods provides a technical basis for exploring effective biomarkers for the early diagnosis of sepsis. In the study, the changes in serum proteome between sepsis and non‐sepsis groups were investigated by iTRAQ‐2D‐LC‐MS/MS, and differentially expressed proteins were quantitative identified and validated in patients with non‐sepsis and sepsis. The candidate protein biomarkers were validated as predictors for the diagnosis of sepsis. Our study provides potential biomarkers for the early diagnosis of sepsis.
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RESULTS
Characteristics of the patients A total of 125 patients, containing 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, were enrolled in the study. The characteristics of the patients were compared in Table 1. Compared to non‐sepsis patients, sepsis patients and septic shock patients presented increased temperature, pulse rate, SOFA score and APACHE score, and decreased mean arterial pressure (p < 0.05). Infection marker of PCT was showing increased trend, and CRP was shoving a peak value in sepsis group (p < 0.05). Characteristics of the study population Non‐sepsis (n = 53) Sepsis (n = 37) Septic shock (n = 35) Abbreviations: APACHE Ⅱ, acute physiology and chronic health evaluation Ⅱ; CRP, C‐reactive protein; PCT, procalcitonin; SOFA, sequential organ failure assessment. *p < 0.05. A total of 125 patients, containing 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, were enrolled in the study. The characteristics of the patients were compared in Table 1. Compared to non‐sepsis patients, sepsis patients and septic shock patients presented increased temperature, pulse rate, SOFA score and APACHE score, and decreased mean arterial pressure (p < 0.05). Infection marker of PCT was showing increased trend, and CRP was shoving a peak value in sepsis group (p < 0.05). Characteristics of the study population Non‐sepsis (n = 53) Sepsis (n = 37) Septic shock (n = 35) Abbreviations: APACHE Ⅱ, acute physiology and chronic health evaluation Ⅱ; CRP, C‐reactive protein; PCT, procalcitonin; SOFA, sequential organ failure assessment. *p < 0.05. Serum proteins identification and relative quantification All iTRAQ‐labeled proteins were identified and quantitatively analyzed with 2D‐LC‐MS/MS. A total of 293 proteins were screened in the four groups. Among them, 37 differentially expressed proteins were identified between samples with and without sepsis, of which 19 proteins were upregulated (>1.20‐fold, p < 0.05) and 18 proteins were downregulated (< 0.83‐fold, p< 0.05) (Figure 1A, Table 2). Functional enrichment analysis of the differentially expressed serum proteins in non‐sepsis and sepsis patients. (A) The differentially expressed proteins in non‐sepsis and sepsis patients; (B) significantly enriched GO terms of the differentially expressed proteins;(C) the protein‐protein interaction network constructed with the differentially expressed proteins; (D) the differentially expressed proteins with degree of connectivity Differentially expressed proteins and the ratios of sepsis to non‐sepsis samples quantified by iTRAQ‐ 2DLC‐MS/MS Further, the enriched functional categories by 37 differentially expressed proteins were analyzed. In biological process categories (BP), most of the differentially expressed proteins were involved in receptor‐mediated endocytosis, response to oxidative stress, acute inflammatory response, cellular response to toxic substance, acute‐phase response, detoxification, and transport. In cellular component categories, the differentially expressed proteins were mostly enriched in the extracellular, including blood microparticle, endocytic vesicle, external side of plasma membrane, endocytic vesicle lumen, lipoprotein particle, and protein‐lipid complex. In molecular function categories (MF), these proteins were mainly enriched in oxidative stress and immune response, including antioxidant activity, oxygen carrier activity, oxygen binding, peroxidase activity and oxidoreductase activity, and immunoglobulin receptor binding (Figure 1B). As shown in Figure 1CandD, ApoC3, ApoE, and SERPINA1 were the most outstanding protein with connectivity degree = 8, followed by SAA1 (degree = 6), GC (degree = 5), VCAM1 (degree = 5), B2 M (degree = 5), HBB (degree = 5), MB(degree = 4), MBL2 (degree = 3), SAA2 (degree = 3), ENSG00000224916 (degree = 3), HBA2 (degree = 2), GPX3 (degree = 1), IGHV4‐38–2 (degree = 1), and CA1(degree = 1). All iTRAQ‐labeled proteins were identified and quantitatively analyzed with 2D‐LC‐MS/MS. A total of 293 proteins were screened in the four groups. Among them, 37 differentially expressed proteins were identified between samples with and without sepsis, of which 19 proteins were upregulated (>1.20‐fold, p < 0.05) and 18 proteins were downregulated (< 0.83‐fold, p< 0.05) (Figure 1A, Table 2). Functional enrichment analysis of the differentially expressed serum proteins in non‐sepsis and sepsis patients. (A) The differentially expressed proteins in non‐sepsis and sepsis patients; (B) significantly enriched GO terms of the differentially expressed proteins;(C) the protein‐protein interaction network constructed with the differentially expressed proteins; (D) the differentially expressed proteins with degree of connectivity Differentially expressed proteins and the ratios of sepsis to non‐sepsis samples quantified by iTRAQ‐ 2DLC‐MS/MS Further, the enriched functional categories by 37 differentially expressed proteins were analyzed. In biological process categories (BP), most of the differentially expressed proteins were involved in receptor‐mediated endocytosis, response to oxidative stress, acute inflammatory response, cellular response to toxic substance, acute‐phase response, detoxification, and transport. In cellular component categories, the differentially expressed proteins were mostly enriched in the extracellular, including blood microparticle, endocytic vesicle, external side of plasma membrane, endocytic vesicle lumen, lipoprotein particle, and protein‐lipid complex. In molecular function categories (MF), these proteins were mainly enriched in oxidative stress and immune response, including antioxidant activity, oxygen carrier activity, oxygen binding, peroxidase activity and oxidoreductase activity, and immunoglobulin receptor binding (Figure 1B). As shown in Figure 1CandD, ApoC3, ApoE, and SERPINA1 were the most outstanding protein with connectivity degree = 8, followed by SAA1 (degree = 6), GC (degree = 5), VCAM1 (degree = 5), B2 M (degree = 5), HBB (degree = 5), MB(degree = 4), MBL2 (degree = 3), SAA2 (degree = 3), ENSG00000224916 (degree = 3), HBA2 (degree = 2), GPX3 (degree = 1), IGHV4‐38–2 (degree = 1), and CA1(degree = 1). Differential expression proteins validation Based on the fold changes, the degree of connectivity in PPI network, and appropriateness of the samples, six proteins were selected for further verification in 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, including serum apolipoproteinC3 (ApoC3), serpin family A member 1 (SERPINA1), vascular cell adhesion molecule 1 (VCAM1), beta‐2‐microglobulin (B2M), glutathione peroxidase 3 (GPX3), and apolipoprotein E (ApoE). As shown in Table 3, the level of ApoC3 was gradually decreased among non‐sepsis, sepsis, and septic shock groups (p = 0.049). The levels of VCAM1 (p = 0.010), B2M (p = 0.004), and ApoE (p = 0.039) were showing an increased tread in three groups, and B2M and ApoE were showing peak values in the sepsis group. While the levels of GPX3 (p = 0.947), SERPINA1 (p = 0.605), and showed no significant difference among the groups (Table 3). Analysis of serum ApoC3, SERPINA1, VCAM1, B2 M, GPX3, ApoE levels Indicates that the difference is statistically significant after Kruskal‐Wallis H test and p < 0.05. Based on the fold changes, the degree of connectivity in PPI network, and appropriateness of the samples, six proteins were selected for further verification in 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, including serum apolipoproteinC3 (ApoC3), serpin family A member 1 (SERPINA1), vascular cell adhesion molecule 1 (VCAM1), beta‐2‐microglobulin (B2M), glutathione peroxidase 3 (GPX3), and apolipoprotein E (ApoE). As shown in Table 3, the level of ApoC3 was gradually decreased among non‐sepsis, sepsis, and septic shock groups (p = 0.049). The levels of VCAM1 (p = 0.010), B2M (p = 0.004), and ApoE (p = 0.039) were showing an increased tread in three groups, and B2M and ApoE were showing peak values in the sepsis group. While the levels of GPX3 (p = 0.947), SERPINA1 (p = 0.605), and showed no significant difference among the groups (Table 3). Analysis of serum ApoC3, SERPINA1, VCAM1, B2 M, GPX3, ApoE levels Indicates that the difference is statistically significant after Kruskal‐Wallis H test and p < 0.05. Biomarker levels for diagnosis of sepsis Table 4 shows that comparing with classical infection indexes of PCT and CRP, the validated indexes of ApoC3, VCAM1, and ApoE have higher specificity and positive predictive value, but lower sensitivity and negative predictive value, while B2M has approximate specificity and positive predictive value. To assess the validated indexes’ diagnostic efficiency of sepsis, ROC curve analysis showed that the areas under ROC curve (AUC) of ApoC3, VCAM1, B2M, and ApoE were 0.625 (95%CI: 0.517–0.725), 0.679 (95%CI: 0.573–0.774), 0.581 (95%CI: 0.472–0.684), and 0.619 (0.510–0.719), respectively, and the AUC of PCT and CRP were 0.717 (95%CI: 0.612–0.807) and 0.706 (95%CI: 0.600–0.797), respectively.The AUC of validated indexes were lower than that of PCT and CRP, but there were no significant differences between each index and PCT or CRP (p > 0.05). Each validated index respectively combined with classical infection indexes of PCT and CRP, and only the combination of VCAM1 had AUC‐ROC of 0.745, which was better than that of VCAM1 (p = 0.018). Further, the combination including four validated indexes and two classical infection indexes for septic diagnosis had the highest AUC‐ROC of 0.772, which was significantly better than that of ApoC3, VCAM1, and ApoE respectively, besides B2M. (Figure 2, Table 5). Analysis of diagnostic efficacy of various indexes in the diagnosis of sepsis Abbreviations: NPV, Negative predictive value; PPV, Positive predictive value. Receiver operating characteristic curves were applied for assessing diagnostic tests Analysis of diagnostic efficacy of various indexes in the diagnosis of sepsis Compared with PCT, # compared with CRP, & compared with PCT and CRP, @ compared with the combination of ApoC3, B2M, VCAM1, ApoE, PCT and CRP. Table 4 shows that comparing with classical infection indexes of PCT and CRP, the validated indexes of ApoC3, VCAM1, and ApoE have higher specificity and positive predictive value, but lower sensitivity and negative predictive value, while B2M has approximate specificity and positive predictive value. To assess the validated indexes’ diagnostic efficiency of sepsis, ROC curve analysis showed that the areas under ROC curve (AUC) of ApoC3, VCAM1, B2M, and ApoE were 0.625 (95%CI: 0.517–0.725), 0.679 (95%CI: 0.573–0.774), 0.581 (95%CI: 0.472–0.684), and 0.619 (0.510–0.719), respectively, and the AUC of PCT and CRP were 0.717 (95%CI: 0.612–0.807) and 0.706 (95%CI: 0.600–0.797), respectively.The AUC of validated indexes were lower than that of PCT and CRP, but there were no significant differences between each index and PCT or CRP (p > 0.05). Each validated index respectively combined with classical infection indexes of PCT and CRP, and only the combination of VCAM1 had AUC‐ROC of 0.745, which was better than that of VCAM1 (p = 0.018). Further, the combination including four validated indexes and two classical infection indexes for septic diagnosis had the highest AUC‐ROC of 0.772, which was significantly better than that of ApoC3, VCAM1, and ApoE respectively, besides B2M. (Figure 2, Table 5). Analysis of diagnostic efficacy of various indexes in the diagnosis of sepsis Abbreviations: NPV, Negative predictive value; PPV, Positive predictive value. Receiver operating characteristic curves were applied for assessing diagnostic tests Analysis of diagnostic efficacy of various indexes in the diagnosis of sepsis Compared with PCT, # compared with CRP, & compared with PCT and CRP, @ compared with the combination of ApoC3, B2M, VCAM1, ApoE, PCT and CRP.
CONCLUSIONS
In this study, the combination of ApoC3, VCAM1, B2M, and ApoE proteins were screened and identified as biomarkers for sepsis by using iTRAQ‐2D‐LC‐MS/MS method. This is a new combination and a supplement to classical biomarkers such as procalcitonin or C‐reactive protein.
[ "INTRODUCTION", "Patients and control subjects", "Abundant protein depletion and protein digestion", "iTRAQ labeling and strong cationic exchange fractionation", "LC‐MS/MS analysis", "Data analysis", "Differential proteins validation", "Statistical analysis", "Characteristics of the patients", "Serum proteins identification and relative quantification", "Differential expression proteins validation", "Biomarker levels for diagnosis of sepsis", "AUTHOR CONTRIBUTIONS" ]
[ "Sepsis might lead to poor organ function or insufficient blood flow when the body responds to an infection,\n1\n which are common causes of morbidity and mortality in the intensive care unit (ICU) patients. It is estimated that there are annually 19.4 million sepsis cases with potentially high deaths in the high‐income countries as North America, Europe, Asia, and Australia. Considering a higher prevalence of sepsis in the low‐ and middle‐income countries,\n2\n it is suspected that the global epidemiological burden of sepsis is still difficult to be relieved.\nEarly diagnosis and appropriate patient management are the key to improve the survival and to limit disabilities in sepsis patients.\n3\n Sepsis is a heterogeneous syndrome, as a consequence, it is challenging to identify at early course of the disease, even based on the sepsis 2.0 or sepsis 3.0 diagnostic criteria. Proved by the extensive laboratory and clinical studies on sepsis, biomarkers are able to provide adjunctive information about the pathogenesis of sepsis and guide rapid diagnosis. Procalcitonin (PCT) level rises quickly after the onset of infection, serving as a superior biomarker for evaluating suspected septic patients.\n4\n C‐reactive protein (CRP), interleukin‐27 (IL‐27), and neutrophil CD64 (nCD64), with different sensitivity and specificity, were infection markers for early diagnose of sepsis.\n5\n Besides serving as infection markers, heparin‐binding protein (HBP) and sphingosine‐1‐phosphate, which could induce endothelial cell dysfunction, were also involved in the pathogenesis and development of sepsis.\n6\n, \n7\n, \n8\n It is worth mentioning that the increase of HBP level can be detected 10.5 h prior to the development of organ dysfunction, which provides a reference for the early diagnosis and clinical management of sepsis.\n9\n Host immune system response is invoked early in sepsis to regulate both pro‐inflammatory and anti‐inflammatory responses. HLA‐DR and PDL1 expression on monocytes, TNF production by LPS‐stimulated whole blood cells, were potential biomarkers for innate immunity, and PD1 expression on CD4+ or CD8+ cells, IFN‐γ production by T cells, and number of circulating regulatory T cells were potential biomarkers for adaptive immunity in sepsis.\n10\n In 2010, Pierrakos and Vincent\n11\n summarized that at least 178 different sepsis biomarkers have been reported. Only 16 factors were evaluated specifically for the early diagnosis of sepsis, and 5 of these, IL‐12, interferon‐induced protein 10 (IP‐10), Group Ⅱ phospholipase 2 (PLA2‐Ⅱ), CD64, and neutrophil CD11b with high sensitivity and specificity up to 90%. However, only few biomarkers have been used in the clinical testing so far.\nAs been called “one of the oldest and most elusive syndromes in medicine,”\n12\n different biochemical and immunological pathways are involved in sepsis, and a variety levels of proteins have changed in human serum. In this sense, a set of biomarkers works superior to a single biomarker. Isobaric tag for relative and absolute quantification labeling coupled with two‐dimensional liquid chromatography‐tandem mass spectrometry (iTRAQ‐2DLC‐MS/MS) is a proteomics method comparing samples between different groups to screen out a batch of differentially expressed proteins for further identification.\n13\n In recent years, several iTRAQ‐2D‐LC‐MS/MS studies on sepsis were performed. Su et al.\n14\n brought insights into the prognosis of sepsis using iTRAQ‐2D‐LC‐MS/MS. They identified seven urinary proteins and verified that downregulated LAMP‐1 level may be useful for prognostic assessment of sepsis. Cao et al.\n15\n proved that proteins involved in the acute phase response, coagulation signaling, atherosclerosis signaling, lipid metabolism, and production of nitric oxide, and reactive oxygen species were associated with community‐acquired pneumonia which would induce sepsis in the elderly. Jiao et al.\n16\n compared serum proteins of septic rats with controls, together with different time points of the survivor and non‐survivor rats, finding five proteins were tightly correlated with the presence of sepsis after verified, and four proteins were related to the prognosis of sepsis. Bian et al.\n17\n found the mechanism of H2 in the treatment of sepsis mice by proteomic approaches, which might be helpful for the clinical application of H2 in sepsis patients. The development of experimental techniques and methods provides a technical basis for exploring effective biomarkers for the early diagnosis of sepsis.\nIn the study, the changes in serum proteome between sepsis and non‐sepsis groups were investigated by iTRAQ‐2D‐LC‐MS/MS, and differentially expressed proteins were quantitative identified and validated in patients with non‐sepsis and sepsis. The candidate protein biomarkers were validated as predictors for the diagnosis of sepsis. Our study provides potential biomarkers for the early diagnosis of sepsis.", "In order to study the early warning and standardized diagnosis and treatment system of sepsis, \"database of the whole process management of early warning and diagnosis and treatment of sepsis,\" which was jointly developed by Zhejiang Hospital and Zhejiang University, were recorded completely the status and treatment of patients with sepsis before and after diagnosis. Based on this database, adult patients with suspected infection admitted to the department of critical care medicine of Zhejiang Hospital, the Second Affiliated Hospital of Zhejiang University, the First Affiliated Hospital of Sun Yat‐Sen University, West China Hospital of Sichuan University, and Ningbo First Hospital from May 2014 to October 2015 were enrolled.\nAdult patients with clinically suspected infection exhibiting one or more of the following indicators were included (1) body temperature of<36°C or >38°C, (2) respiratory rate of >20 breaths/min, (3) pulse rate of>90 beats/min, (4) white blood cell (WBC) count of>12.0 × 109/L or <4.0 × 109/L, or immature granulocyte of >10%, and (5) chief complaint of fever or chills. Cases were excluded if they refused to sign the informed consent, or age<18 years, or diagnosed with malignant tumors. Patients were evaluated four times: at enrollment, the first day, the second day, and the third day according to Sepsis 2.0.\n18\n All the “severe sepsis” diagnosed by Sepsis 2.0 were defined as “sepsis” according to Sepsis 3.0,\n1\n and others were defined as \"non‐sepsis\" in this article. Body temperature, pulse and respiratory rates, SOFA score and APACHE score, and blood samples were analyzed at the first evaluation. This study was approved by the Ethics Committee of Zhejiang Hospital (No. 2015‐94K).\nThe levels of PCT (Roche Diagnostics, USA) and CRP (Beckman coulter, Brea, CA, USA) were measured by Zhejiang Hospital according to the manufacturer's instructions.", "To reduce the influence of individual variation and increase precision and accuracy of the data in the proteomics study,\n19\n equal amounts of six different samples were mixed to produce a sample pool, and each sample pool was labeled and detected two times as technical replicates. High‐abundance serum proteins (such as albumin, IgG, IgA, fibrinogen, transferrin, haptoglobin, etc.) were removed from the mixed sample using the Human 14 Multiple Affinity Removal System Columns (Agilent). The low‐abundance proteins were concentrated and determined by the Bradford method.\nA total of 300 μg protein was washed with an extraction buffer (8 M Urea, 150mM Tris‐HCl pH8.5), 14,000g centrifuged 30 min, repeated three times. And then, each sample was alkylated with 100 μl 50 mM iodoacetamide (IAA), incubated at room time, and away from light for 30 min. The samples were washed with 100 μl UA buffer for three times to remove the exceed IAA and washed with 100 μl 1/10 dissolution buffer (100 mM triethylammonium formate) for three times to provide an alkaline environment of digestion. Finally, each sample was digested by 40 μl Trypsin buffer (2 μg Trypsin in 40 μl 1/10 Dissolution buffer) on constant temperature mixer (eppendorf thermomixer C) for 18 h at 37°C with 300rpm.", "Digested samples were labeled with an iTRAQ reagent‐8ples Multiplex kit (Applied Biosystems SCIEX) following the manufacturer's protocol. Four groups of mixed serum samples with two technical duplicates were set up: self‐controls before diagnosed with sepsis were labeled iTRAQ reagent 113, 117, and diagnosed sepsis group were labeled 114, 118; non‐self‐control of non‐sepsis group were labeled iTRAQ reagent 115, 119, and sepsis group were labeled 116, 121.\nThe eight labeled sample groups were mixed and separated using Polysulfoethyl column (4.6 × 100 mm, 5 µm, 200 Å, PolyLC Inc) with strong cation exchange (SCX) fractionation by AKTA Purifier 100 (GE Healthcare). Thirty SCX fractions were collected and combined to six SCX fractions based on SCX chromatograms. Each SCX fraction was dried by centrifugal evaporation (Eppendorf Concentrater plus) and desalted with Empore™ SPE‐C18 Cartridges (Sigma).", "The SCX fractions were analyzed using Easy‐nLC1000HPLC system (Thermo Fisher Scientific) connected to Q‐Exactive mass spectrometer (Thermo Fisher Scientific). Mobile phase A was 0.1% formic acid solution, and mobile phase B was 0.1% formic acid‐acetonitrile solution (contain 84% acetonitrile). The chromatographic column was balanced by 95% Mobile phase A. SCX fractions were loaded by an autosampler onto trapping column (2 cm*100 μm 5 μm‐C18, Thermo scientific EASY column) to enrich and desalt, and then the samples were loaded onto an analytical column (75 μm*100 mm 3 μm‐C18) to separate. The gradient was as follows: 0–105 min, mobile phase B from 0 to 10%; 105–110 min, mobile phase B from 10% to 30%; 110–120 min, mobile phase B maintain in 100%.\nThe mass spectrometer worked in positive ion mode, and the MS spectrum was obtained in the range of 300–1800 m/z. The MS scan resolution of Q‐Exactive was set to 70,000 and MS/MS scan resolution was 17,500. In the obtained MS spectrum, the top ten most intense signals were selected for further MS/MS analysis. The isolation window was 2 m/z, and ions were fragmented through higher energy collisional dissociation, and the normalized collision energies were 30 eV. The maximum ion implantation time of the measured scan was set at 10 ms, and the maximum ion implantation time of the full scan mode was set at 60 ms. The automatic gain control target value of the full scan mode was set to 3e6. The automatic gain control target value of the MS Magi MS was set to 5e4. The dynamic exclusion time is 40 s.", "RAW files were identified, quantified, and analyzed by softwares Maxquant1.4.1.2 and perseus1.4.1.3. This database is used by Uniprot human database (a total of 141,033 protein sequences, with a download date of 2014.12.19). Request search parameters were as follows: two maximum trypsin missed cleavages; peptide mass tolerance ±20 ppm; fragment mass tolerance 0.1 Da; fixed modifications were carbamidomethyl modification (C), iTRAQ‐8plex (N‐terminus), and iTRAQ‐8plex (K); variable modifications were oxidation (M), and result filter parameters were PSM‐level FDR≤0.01 and Protein‐level FDR≤0.01. The ion peak intensity reflected the relative abundance of the peptide and protein, and the quantitative ratio of the peptide segments was normalized against the median ratio value of the internal standard sample. The proteins with an expression ratio between the two groups >1.20 (upregulated proteins) or <0.83 (downregulated proteins) were chosen for further research. We used the \"cluster Profiler\"\n20\n package in R for the Gene Ontology (GO) annotations of the differentially expressed proteins (DEPs).GO database analyzed the cellular component, molecular function (MF), and biological process of proteins (BP) (p value cutoff = 0.05, q value cutoff = 0.05). The protein‐protein interaction network of these DEPs was constructed by Search Tool for the Retrieval of Interacting Genes database (STRING, https://www.string‐db.org/) and visualized by Cytoscape software. The PPI pairs were extracted with a minimum required interaction score: >0.38. The degree of each protein node was calculated by Cytoscape software.", "SerumApoC3, SERPINA1, VCAM1 (Abcam), and GPX3 protein (CUSABIO Biotech) levels were detected using ELISA kits according to the manufacturer's instructions. Briefly, serum samples were diluted with dilution factors of 1:4000, 1:200, 1:200, and 1:2000 for ApoC3, SERPINA1, VCAM1, and GPX3, respectively. If the concentration of SERPINA1 was over 2000 ng/ml or below 31.7 ng/ml, the experiment was repeated with dilution factors of 1:2000 or 1:20. Diluted samples and standards were added to microtiter wells coated with corresponding antibodies. SERPINA1 kits and VCAM1 kits were a one‐step ELISA, with antibody cocktail added together; while ApoC3 kits and GPX3 kits were classical two‐step ELISA, with specific detection antibody and enzyme conjugated second antibody added step by step. Finally, TMB substrate was added, and the reaction was then stopped by the addition of Stop Solution. Absorbance was measured on iMark microplate spectrophotometer (Bio‐Rad, Inc.) at 450 nm. The best‐fit line was determined by regression analysis using a four‐parameter logistic curve‐fit (Microplate 5.0 software, Xinghe Inc.). The sample concentration was determined from the standard curve and multiplied by the dilution factor.\nSerum B2M protein and ApoE levels were detected on AU5821 and AU5421 Automatic biochemical analyzer (Beckman coulter). B2M was agglutinated with latex particles coated with B2M antibody, and the turbidity was directly proportional to the concentration of B2M by immunoturbidimetry (AUTEC Diagnostica). ApoE was also detected by immunoturbidimetric method (Saike Biotechnology).", "Continuous variables were presented as mean ± standard deviation (SD) or the median with interquartile range (IQR), and categorical variables as numbers and percentages. Comparisons among non‐sepsis, sepsis, and septic shock groups were performed using ANOVA test for means, chi‐square test for the numbers, and Kruskal‐Wallis H test for medians. Comparisons between non‐sepsis and sepsis groups were performed using t test for means, chi‐square test for the numbers, and Mann‐Whitney U test for medians. Receiver operating characteristic curves were constructed to show each cut‐off levels and assess the diagnostic validity of ApoC3, B2 M, VCAM1, ApoE, PCT, and CRP alone and in combination. p values of <0.05 were regarded as statistically significant. The SPSS software system 22.0 (SPSS), GraphPad Prism 7 (GraphPad Software), and Medcalc 11.4 (MedCalc Software bvba) were used for calculations.", "A total of 125 patients, containing 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, were enrolled in the study. The characteristics of the patients were compared in Table 1. Compared to non‐sepsis patients, sepsis patients and septic shock patients presented increased temperature, pulse rate, SOFA score and APACHE score, and decreased mean arterial pressure (p < 0.05). Infection marker of PCT was showing increased trend, and CRP was shoving a peak value in sepsis group (p < 0.05).\nCharacteristics of the study population\nNon‐sepsis\n(n = 53)\nSepsis\n(n = 37)\nSeptic shock\n(n = 35)\nAbbreviations: APACHE Ⅱ, acute physiology and chronic health evaluation Ⅱ; CRP, C‐reactive protein; PCT, procalcitonin; SOFA, sequential organ failure assessment.\n*p < 0.05.", "All iTRAQ‐labeled proteins were identified and quantitatively analyzed with 2D‐LC‐MS/MS. A total of 293 proteins were screened in the four groups. Among them, 37 differentially expressed proteins were identified between samples with and without sepsis, of which 19 proteins were upregulated (>1.20‐fold, p < 0.05) and 18 proteins were downregulated (< 0.83‐fold, p< 0.05) (Figure 1A, Table 2).\nFunctional enrichment analysis of the differentially expressed serum proteins in non‐sepsis and sepsis patients. (A) The differentially expressed proteins in non‐sepsis and sepsis patients; (B) significantly enriched GO terms of the differentially expressed proteins;(C) the protein‐protein interaction network constructed with the differentially expressed proteins; (D) the differentially expressed proteins with degree of connectivity\nDifferentially expressed proteins and the ratios of sepsis to non‐sepsis samples quantified by iTRAQ‐ 2DLC‐MS/MS\nFurther, the enriched functional categories by 37 differentially expressed proteins were analyzed. In biological process categories (BP), most of the differentially expressed proteins were involved in receptor‐mediated endocytosis, response to oxidative stress, acute inflammatory response, cellular response to toxic substance, acute‐phase response, detoxification, and transport. In cellular component categories, the differentially expressed proteins were mostly enriched in the extracellular, including blood microparticle, endocytic vesicle, external side of plasma membrane, endocytic vesicle lumen, lipoprotein particle, and protein‐lipid complex. In molecular function categories (MF), these proteins were mainly enriched in oxidative stress and immune response, including antioxidant activity, oxygen carrier activity, oxygen binding, peroxidase activity and oxidoreductase activity, and immunoglobulin receptor binding (Figure 1B). As shown in Figure 1CandD, ApoC3, ApoE, and SERPINA1 were the most outstanding protein with connectivity degree = 8, followed by SAA1 (degree = 6), GC (degree = 5), VCAM1 (degree = 5), B2 M (degree = 5), HBB (degree = 5), MB(degree = 4), MBL2 (degree = 3), SAA2 (degree = 3), ENSG00000224916 (degree = 3), HBA2 (degree = 2), GPX3 (degree = 1), IGHV4‐38–2 (degree = 1), and CA1(degree = 1).", "Based on the fold changes, the degree of connectivity in PPI network, and appropriateness of the samples, six proteins were selected for further verification in 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, including serum apolipoproteinC3 (ApoC3), serpin family A member 1 (SERPINA1), vascular cell adhesion molecule 1 (VCAM1), beta‐2‐microglobulin (B2M), glutathione peroxidase 3 (GPX3), and apolipoprotein E (ApoE). As shown in Table 3, the level of ApoC3 was gradually decreased among non‐sepsis, sepsis, and septic shock groups (p = 0.049). The levels of VCAM1 (p = 0.010), B2M (p = 0.004), and ApoE (p = 0.039) were showing an increased tread in three groups, and B2M and ApoE were showing peak values in the sepsis group. While the levels of GPX3 (p = 0.947), SERPINA1 (p = 0.605), and showed no significant difference among the groups (Table 3).\nAnalysis of serum ApoC3, SERPINA1, VCAM1, B2 M, GPX3, ApoE levels\nIndicates that the difference is statistically significant after Kruskal‐Wallis H test and p < 0.05.", "Table 4 shows that comparing with classical infection indexes of PCT and CRP, the validated indexes of ApoC3, VCAM1, and ApoE have higher specificity and positive predictive value, but lower sensitivity and negative predictive value, while B2M has approximate specificity and positive predictive value. To assess the validated indexes’ diagnostic efficiency of sepsis, ROC curve analysis showed that the areas under ROC curve (AUC) of ApoC3, VCAM1, B2M, and ApoE were 0.625 (95%CI: 0.517–0.725), 0.679 (95%CI: 0.573–0.774), 0.581 (95%CI: 0.472–0.684), and 0.619 (0.510–0.719), respectively, and the AUC of PCT and CRP were 0.717 (95%CI: 0.612–0.807) and 0.706 (95%CI: 0.600–0.797), respectively.The AUC of validated indexes were lower than that of PCT and CRP, but there were no significant differences between each index and PCT or CRP (p > 0.05). Each validated index respectively combined with classical infection indexes of PCT and CRP, and only the combination of VCAM1 had AUC‐ROC of 0.745, which was better than that of VCAM1 (p = 0.018). Further, the combination including four validated indexes and two classical infection indexes for septic diagnosis had the highest AUC‐ROC of 0.772, which was significantly better than that of ApoC3, VCAM1, and ApoE respectively, besides B2M. (Figure 2, Table 5).\nAnalysis of diagnostic efficacy of various indexes in the diagnosis of sepsis\nAbbreviations: NPV, Negative predictive value; PPV, Positive predictive value.\nReceiver operating characteristic curves were applied for assessing diagnostic tests\nAnalysis of diagnostic efficacy of various indexes in the diagnosis of sepsis\nCompared with PCT, # compared with CRP, & compared with PCT and CRP, @ compared with the combination of ApoC3, B2M, VCAM1, ApoE, PCT and CRP.", "Jing YAN conceived the study, reviewed the draft, and commented on it; Mo‐lei YAN and Shang‐zhong CHEN enrolled patient and established the database; Meng LI and Chen CHEN conducted the experiments; Meng LI and Rong‐rong REN analyzed the data and wrote the draft. All authors reviewed the article and approved the final article." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "INTRODUCTION", "MATERIALS AND METHODS", "Patients and control subjects", "Abundant protein depletion and protein digestion", "iTRAQ labeling and strong cationic exchange fractionation", "LC‐MS/MS analysis", "Data analysis", "Differential proteins validation", "Statistical analysis", "RESULTS", "Characteristics of the patients", "Serum proteins identification and relative quantification", "Differential expression proteins validation", "Biomarker levels for diagnosis of sepsis", "DISCUSSION", "CONCLUSIONS", "CONFLICT OF INTEREST", "AUTHOR CONTRIBUTIONS" ]
[ "Sepsis might lead to poor organ function or insufficient blood flow when the body responds to an infection,\n1\n which are common causes of morbidity and mortality in the intensive care unit (ICU) patients. It is estimated that there are annually 19.4 million sepsis cases with potentially high deaths in the high‐income countries as North America, Europe, Asia, and Australia. Considering a higher prevalence of sepsis in the low‐ and middle‐income countries,\n2\n it is suspected that the global epidemiological burden of sepsis is still difficult to be relieved.\nEarly diagnosis and appropriate patient management are the key to improve the survival and to limit disabilities in sepsis patients.\n3\n Sepsis is a heterogeneous syndrome, as a consequence, it is challenging to identify at early course of the disease, even based on the sepsis 2.0 or sepsis 3.0 diagnostic criteria. Proved by the extensive laboratory and clinical studies on sepsis, biomarkers are able to provide adjunctive information about the pathogenesis of sepsis and guide rapid diagnosis. Procalcitonin (PCT) level rises quickly after the onset of infection, serving as a superior biomarker for evaluating suspected septic patients.\n4\n C‐reactive protein (CRP), interleukin‐27 (IL‐27), and neutrophil CD64 (nCD64), with different sensitivity and specificity, were infection markers for early diagnose of sepsis.\n5\n Besides serving as infection markers, heparin‐binding protein (HBP) and sphingosine‐1‐phosphate, which could induce endothelial cell dysfunction, were also involved in the pathogenesis and development of sepsis.\n6\n, \n7\n, \n8\n It is worth mentioning that the increase of HBP level can be detected 10.5 h prior to the development of organ dysfunction, which provides a reference for the early diagnosis and clinical management of sepsis.\n9\n Host immune system response is invoked early in sepsis to regulate both pro‐inflammatory and anti‐inflammatory responses. HLA‐DR and PDL1 expression on monocytes, TNF production by LPS‐stimulated whole blood cells, were potential biomarkers for innate immunity, and PD1 expression on CD4+ or CD8+ cells, IFN‐γ production by T cells, and number of circulating regulatory T cells were potential biomarkers for adaptive immunity in sepsis.\n10\n In 2010, Pierrakos and Vincent\n11\n summarized that at least 178 different sepsis biomarkers have been reported. Only 16 factors were evaluated specifically for the early diagnosis of sepsis, and 5 of these, IL‐12, interferon‐induced protein 10 (IP‐10), Group Ⅱ phospholipase 2 (PLA2‐Ⅱ), CD64, and neutrophil CD11b with high sensitivity and specificity up to 90%. However, only few biomarkers have been used in the clinical testing so far.\nAs been called “one of the oldest and most elusive syndromes in medicine,”\n12\n different biochemical and immunological pathways are involved in sepsis, and a variety levels of proteins have changed in human serum. In this sense, a set of biomarkers works superior to a single biomarker. Isobaric tag for relative and absolute quantification labeling coupled with two‐dimensional liquid chromatography‐tandem mass spectrometry (iTRAQ‐2DLC‐MS/MS) is a proteomics method comparing samples between different groups to screen out a batch of differentially expressed proteins for further identification.\n13\n In recent years, several iTRAQ‐2D‐LC‐MS/MS studies on sepsis were performed. Su et al.\n14\n brought insights into the prognosis of sepsis using iTRAQ‐2D‐LC‐MS/MS. They identified seven urinary proteins and verified that downregulated LAMP‐1 level may be useful for prognostic assessment of sepsis. Cao et al.\n15\n proved that proteins involved in the acute phase response, coagulation signaling, atherosclerosis signaling, lipid metabolism, and production of nitric oxide, and reactive oxygen species were associated with community‐acquired pneumonia which would induce sepsis in the elderly. Jiao et al.\n16\n compared serum proteins of septic rats with controls, together with different time points of the survivor and non‐survivor rats, finding five proteins were tightly correlated with the presence of sepsis after verified, and four proteins were related to the prognosis of sepsis. Bian et al.\n17\n found the mechanism of H2 in the treatment of sepsis mice by proteomic approaches, which might be helpful for the clinical application of H2 in sepsis patients. The development of experimental techniques and methods provides a technical basis for exploring effective biomarkers for the early diagnosis of sepsis.\nIn the study, the changes in serum proteome between sepsis and non‐sepsis groups were investigated by iTRAQ‐2D‐LC‐MS/MS, and differentially expressed proteins were quantitative identified and validated in patients with non‐sepsis and sepsis. The candidate protein biomarkers were validated as predictors for the diagnosis of sepsis. Our study provides potential biomarkers for the early diagnosis of sepsis.", "Patients and control subjects In order to study the early warning and standardized diagnosis and treatment system of sepsis, \"database of the whole process management of early warning and diagnosis and treatment of sepsis,\" which was jointly developed by Zhejiang Hospital and Zhejiang University, were recorded completely the status and treatment of patients with sepsis before and after diagnosis. Based on this database, adult patients with suspected infection admitted to the department of critical care medicine of Zhejiang Hospital, the Second Affiliated Hospital of Zhejiang University, the First Affiliated Hospital of Sun Yat‐Sen University, West China Hospital of Sichuan University, and Ningbo First Hospital from May 2014 to October 2015 were enrolled.\nAdult patients with clinically suspected infection exhibiting one or more of the following indicators were included (1) body temperature of<36°C or >38°C, (2) respiratory rate of >20 breaths/min, (3) pulse rate of>90 beats/min, (4) white blood cell (WBC) count of>12.0 × 109/L or <4.0 × 109/L, or immature granulocyte of >10%, and (5) chief complaint of fever or chills. Cases were excluded if they refused to sign the informed consent, or age<18 years, or diagnosed with malignant tumors. Patients were evaluated four times: at enrollment, the first day, the second day, and the third day according to Sepsis 2.0.\n18\n All the “severe sepsis” diagnosed by Sepsis 2.0 were defined as “sepsis” according to Sepsis 3.0,\n1\n and others were defined as \"non‐sepsis\" in this article. Body temperature, pulse and respiratory rates, SOFA score and APACHE score, and blood samples were analyzed at the first evaluation. This study was approved by the Ethics Committee of Zhejiang Hospital (No. 2015‐94K).\nThe levels of PCT (Roche Diagnostics, USA) and CRP (Beckman coulter, Brea, CA, USA) were measured by Zhejiang Hospital according to the manufacturer's instructions.\nIn order to study the early warning and standardized diagnosis and treatment system of sepsis, \"database of the whole process management of early warning and diagnosis and treatment of sepsis,\" which was jointly developed by Zhejiang Hospital and Zhejiang University, were recorded completely the status and treatment of patients with sepsis before and after diagnosis. Based on this database, adult patients with suspected infection admitted to the department of critical care medicine of Zhejiang Hospital, the Second Affiliated Hospital of Zhejiang University, the First Affiliated Hospital of Sun Yat‐Sen University, West China Hospital of Sichuan University, and Ningbo First Hospital from May 2014 to October 2015 were enrolled.\nAdult patients with clinically suspected infection exhibiting one or more of the following indicators were included (1) body temperature of<36°C or >38°C, (2) respiratory rate of >20 breaths/min, (3) pulse rate of>90 beats/min, (4) white blood cell (WBC) count of>12.0 × 109/L or <4.0 × 109/L, or immature granulocyte of >10%, and (5) chief complaint of fever or chills. Cases were excluded if they refused to sign the informed consent, or age<18 years, or diagnosed with malignant tumors. Patients were evaluated four times: at enrollment, the first day, the second day, and the third day according to Sepsis 2.0.\n18\n All the “severe sepsis” diagnosed by Sepsis 2.0 were defined as “sepsis” according to Sepsis 3.0,\n1\n and others were defined as \"non‐sepsis\" in this article. Body temperature, pulse and respiratory rates, SOFA score and APACHE score, and blood samples were analyzed at the first evaluation. This study was approved by the Ethics Committee of Zhejiang Hospital (No. 2015‐94K).\nThe levels of PCT (Roche Diagnostics, USA) and CRP (Beckman coulter, Brea, CA, USA) were measured by Zhejiang Hospital according to the manufacturer's instructions.\nAbundant protein depletion and protein digestion To reduce the influence of individual variation and increase precision and accuracy of the data in the proteomics study,\n19\n equal amounts of six different samples were mixed to produce a sample pool, and each sample pool was labeled and detected two times as technical replicates. High‐abundance serum proteins (such as albumin, IgG, IgA, fibrinogen, transferrin, haptoglobin, etc.) were removed from the mixed sample using the Human 14 Multiple Affinity Removal System Columns (Agilent). The low‐abundance proteins were concentrated and determined by the Bradford method.\nA total of 300 μg protein was washed with an extraction buffer (8 M Urea, 150mM Tris‐HCl pH8.5), 14,000g centrifuged 30 min, repeated three times. And then, each sample was alkylated with 100 μl 50 mM iodoacetamide (IAA), incubated at room time, and away from light for 30 min. The samples were washed with 100 μl UA buffer for three times to remove the exceed IAA and washed with 100 μl 1/10 dissolution buffer (100 mM triethylammonium formate) for three times to provide an alkaline environment of digestion. Finally, each sample was digested by 40 μl Trypsin buffer (2 μg Trypsin in 40 μl 1/10 Dissolution buffer) on constant temperature mixer (eppendorf thermomixer C) for 18 h at 37°C with 300rpm.\nTo reduce the influence of individual variation and increase precision and accuracy of the data in the proteomics study,\n19\n equal amounts of six different samples were mixed to produce a sample pool, and each sample pool was labeled and detected two times as technical replicates. High‐abundance serum proteins (such as albumin, IgG, IgA, fibrinogen, transferrin, haptoglobin, etc.) were removed from the mixed sample using the Human 14 Multiple Affinity Removal System Columns (Agilent). The low‐abundance proteins were concentrated and determined by the Bradford method.\nA total of 300 μg protein was washed with an extraction buffer (8 M Urea, 150mM Tris‐HCl pH8.5), 14,000g centrifuged 30 min, repeated three times. And then, each sample was alkylated with 100 μl 50 mM iodoacetamide (IAA), incubated at room time, and away from light for 30 min. The samples were washed with 100 μl UA buffer for three times to remove the exceed IAA and washed with 100 μl 1/10 dissolution buffer (100 mM triethylammonium formate) for three times to provide an alkaline environment of digestion. Finally, each sample was digested by 40 μl Trypsin buffer (2 μg Trypsin in 40 μl 1/10 Dissolution buffer) on constant temperature mixer (eppendorf thermomixer C) for 18 h at 37°C with 300rpm.\niTRAQ labeling and strong cationic exchange fractionation Digested samples were labeled with an iTRAQ reagent‐8ples Multiplex kit (Applied Biosystems SCIEX) following the manufacturer's protocol. Four groups of mixed serum samples with two technical duplicates were set up: self‐controls before diagnosed with sepsis were labeled iTRAQ reagent 113, 117, and diagnosed sepsis group were labeled 114, 118; non‐self‐control of non‐sepsis group were labeled iTRAQ reagent 115, 119, and sepsis group were labeled 116, 121.\nThe eight labeled sample groups were mixed and separated using Polysulfoethyl column (4.6 × 100 mm, 5 µm, 200 Å, PolyLC Inc) with strong cation exchange (SCX) fractionation by AKTA Purifier 100 (GE Healthcare). Thirty SCX fractions were collected and combined to six SCX fractions based on SCX chromatograms. Each SCX fraction was dried by centrifugal evaporation (Eppendorf Concentrater plus) and desalted with Empore™ SPE‐C18 Cartridges (Sigma).\nDigested samples were labeled with an iTRAQ reagent‐8ples Multiplex kit (Applied Biosystems SCIEX) following the manufacturer's protocol. Four groups of mixed serum samples with two technical duplicates were set up: self‐controls before diagnosed with sepsis were labeled iTRAQ reagent 113, 117, and diagnosed sepsis group were labeled 114, 118; non‐self‐control of non‐sepsis group were labeled iTRAQ reagent 115, 119, and sepsis group were labeled 116, 121.\nThe eight labeled sample groups were mixed and separated using Polysulfoethyl column (4.6 × 100 mm, 5 µm, 200 Å, PolyLC Inc) with strong cation exchange (SCX) fractionation by AKTA Purifier 100 (GE Healthcare). Thirty SCX fractions were collected and combined to six SCX fractions based on SCX chromatograms. Each SCX fraction was dried by centrifugal evaporation (Eppendorf Concentrater plus) and desalted with Empore™ SPE‐C18 Cartridges (Sigma).\nLC‐MS/MS analysis The SCX fractions were analyzed using Easy‐nLC1000HPLC system (Thermo Fisher Scientific) connected to Q‐Exactive mass spectrometer (Thermo Fisher Scientific). Mobile phase A was 0.1% formic acid solution, and mobile phase B was 0.1% formic acid‐acetonitrile solution (contain 84% acetonitrile). The chromatographic column was balanced by 95% Mobile phase A. SCX fractions were loaded by an autosampler onto trapping column (2 cm*100 μm 5 μm‐C18, Thermo scientific EASY column) to enrich and desalt, and then the samples were loaded onto an analytical column (75 μm*100 mm 3 μm‐C18) to separate. The gradient was as follows: 0–105 min, mobile phase B from 0 to 10%; 105–110 min, mobile phase B from 10% to 30%; 110–120 min, mobile phase B maintain in 100%.\nThe mass spectrometer worked in positive ion mode, and the MS spectrum was obtained in the range of 300–1800 m/z. The MS scan resolution of Q‐Exactive was set to 70,000 and MS/MS scan resolution was 17,500. In the obtained MS spectrum, the top ten most intense signals were selected for further MS/MS analysis. The isolation window was 2 m/z, and ions were fragmented through higher energy collisional dissociation, and the normalized collision energies were 30 eV. The maximum ion implantation time of the measured scan was set at 10 ms, and the maximum ion implantation time of the full scan mode was set at 60 ms. The automatic gain control target value of the full scan mode was set to 3e6. The automatic gain control target value of the MS Magi MS was set to 5e4. The dynamic exclusion time is 40 s.\nThe SCX fractions were analyzed using Easy‐nLC1000HPLC system (Thermo Fisher Scientific) connected to Q‐Exactive mass spectrometer (Thermo Fisher Scientific). Mobile phase A was 0.1% formic acid solution, and mobile phase B was 0.1% formic acid‐acetonitrile solution (contain 84% acetonitrile). The chromatographic column was balanced by 95% Mobile phase A. SCX fractions were loaded by an autosampler onto trapping column (2 cm*100 μm 5 μm‐C18, Thermo scientific EASY column) to enrich and desalt, and then the samples were loaded onto an analytical column (75 μm*100 mm 3 μm‐C18) to separate. The gradient was as follows: 0–105 min, mobile phase B from 0 to 10%; 105–110 min, mobile phase B from 10% to 30%; 110–120 min, mobile phase B maintain in 100%.\nThe mass spectrometer worked in positive ion mode, and the MS spectrum was obtained in the range of 300–1800 m/z. The MS scan resolution of Q‐Exactive was set to 70,000 and MS/MS scan resolution was 17,500. In the obtained MS spectrum, the top ten most intense signals were selected for further MS/MS analysis. The isolation window was 2 m/z, and ions were fragmented through higher energy collisional dissociation, and the normalized collision energies were 30 eV. The maximum ion implantation time of the measured scan was set at 10 ms, and the maximum ion implantation time of the full scan mode was set at 60 ms. The automatic gain control target value of the full scan mode was set to 3e6. The automatic gain control target value of the MS Magi MS was set to 5e4. The dynamic exclusion time is 40 s.\nData analysis RAW files were identified, quantified, and analyzed by softwares Maxquant1.4.1.2 and perseus1.4.1.3. This database is used by Uniprot human database (a total of 141,033 protein sequences, with a download date of 2014.12.19). Request search parameters were as follows: two maximum trypsin missed cleavages; peptide mass tolerance ±20 ppm; fragment mass tolerance 0.1 Da; fixed modifications were carbamidomethyl modification (C), iTRAQ‐8plex (N‐terminus), and iTRAQ‐8plex (K); variable modifications were oxidation (M), and result filter parameters were PSM‐level FDR≤0.01 and Protein‐level FDR≤0.01. The ion peak intensity reflected the relative abundance of the peptide and protein, and the quantitative ratio of the peptide segments was normalized against the median ratio value of the internal standard sample. The proteins with an expression ratio between the two groups >1.20 (upregulated proteins) or <0.83 (downregulated proteins) were chosen for further research. We used the \"cluster Profiler\"\n20\n package in R for the Gene Ontology (GO) annotations of the differentially expressed proteins (DEPs).GO database analyzed the cellular component, molecular function (MF), and biological process of proteins (BP) (p value cutoff = 0.05, q value cutoff = 0.05). The protein‐protein interaction network of these DEPs was constructed by Search Tool for the Retrieval of Interacting Genes database (STRING, https://www.string‐db.org/) and visualized by Cytoscape software. The PPI pairs were extracted with a minimum required interaction score: >0.38. The degree of each protein node was calculated by Cytoscape software.\nRAW files were identified, quantified, and analyzed by softwares Maxquant1.4.1.2 and perseus1.4.1.3. This database is used by Uniprot human database (a total of 141,033 protein sequences, with a download date of 2014.12.19). Request search parameters were as follows: two maximum trypsin missed cleavages; peptide mass tolerance ±20 ppm; fragment mass tolerance 0.1 Da; fixed modifications were carbamidomethyl modification (C), iTRAQ‐8plex (N‐terminus), and iTRAQ‐8plex (K); variable modifications were oxidation (M), and result filter parameters were PSM‐level FDR≤0.01 and Protein‐level FDR≤0.01. The ion peak intensity reflected the relative abundance of the peptide and protein, and the quantitative ratio of the peptide segments was normalized against the median ratio value of the internal standard sample. The proteins with an expression ratio between the two groups >1.20 (upregulated proteins) or <0.83 (downregulated proteins) were chosen for further research. We used the \"cluster Profiler\"\n20\n package in R for the Gene Ontology (GO) annotations of the differentially expressed proteins (DEPs).GO database analyzed the cellular component, molecular function (MF), and biological process of proteins (BP) (p value cutoff = 0.05, q value cutoff = 0.05). The protein‐protein interaction network of these DEPs was constructed by Search Tool for the Retrieval of Interacting Genes database (STRING, https://www.string‐db.org/) and visualized by Cytoscape software. The PPI pairs were extracted with a minimum required interaction score: >0.38. The degree of each protein node was calculated by Cytoscape software.\nDifferential proteins validation SerumApoC3, SERPINA1, VCAM1 (Abcam), and GPX3 protein (CUSABIO Biotech) levels were detected using ELISA kits according to the manufacturer's instructions. Briefly, serum samples were diluted with dilution factors of 1:4000, 1:200, 1:200, and 1:2000 for ApoC3, SERPINA1, VCAM1, and GPX3, respectively. If the concentration of SERPINA1 was over 2000 ng/ml or below 31.7 ng/ml, the experiment was repeated with dilution factors of 1:2000 or 1:20. Diluted samples and standards were added to microtiter wells coated with corresponding antibodies. SERPINA1 kits and VCAM1 kits were a one‐step ELISA, with antibody cocktail added together; while ApoC3 kits and GPX3 kits were classical two‐step ELISA, with specific detection antibody and enzyme conjugated second antibody added step by step. Finally, TMB substrate was added, and the reaction was then stopped by the addition of Stop Solution. Absorbance was measured on iMark microplate spectrophotometer (Bio‐Rad, Inc.) at 450 nm. The best‐fit line was determined by regression analysis using a four‐parameter logistic curve‐fit (Microplate 5.0 software, Xinghe Inc.). The sample concentration was determined from the standard curve and multiplied by the dilution factor.\nSerum B2M protein and ApoE levels were detected on AU5821 and AU5421 Automatic biochemical analyzer (Beckman coulter). B2M was agglutinated with latex particles coated with B2M antibody, and the turbidity was directly proportional to the concentration of B2M by immunoturbidimetry (AUTEC Diagnostica). ApoE was also detected by immunoturbidimetric method (Saike Biotechnology).\nSerumApoC3, SERPINA1, VCAM1 (Abcam), and GPX3 protein (CUSABIO Biotech) levels were detected using ELISA kits according to the manufacturer's instructions. Briefly, serum samples were diluted with dilution factors of 1:4000, 1:200, 1:200, and 1:2000 for ApoC3, SERPINA1, VCAM1, and GPX3, respectively. If the concentration of SERPINA1 was over 2000 ng/ml or below 31.7 ng/ml, the experiment was repeated with dilution factors of 1:2000 or 1:20. Diluted samples and standards were added to microtiter wells coated with corresponding antibodies. SERPINA1 kits and VCAM1 kits were a one‐step ELISA, with antibody cocktail added together; while ApoC3 kits and GPX3 kits were classical two‐step ELISA, with specific detection antibody and enzyme conjugated second antibody added step by step. Finally, TMB substrate was added, and the reaction was then stopped by the addition of Stop Solution. Absorbance was measured on iMark microplate spectrophotometer (Bio‐Rad, Inc.) at 450 nm. The best‐fit line was determined by regression analysis using a four‐parameter logistic curve‐fit (Microplate 5.0 software, Xinghe Inc.). The sample concentration was determined from the standard curve and multiplied by the dilution factor.\nSerum B2M protein and ApoE levels were detected on AU5821 and AU5421 Automatic biochemical analyzer (Beckman coulter). B2M was agglutinated with latex particles coated with B2M antibody, and the turbidity was directly proportional to the concentration of B2M by immunoturbidimetry (AUTEC Diagnostica). ApoE was also detected by immunoturbidimetric method (Saike Biotechnology).\nStatistical analysis Continuous variables were presented as mean ± standard deviation (SD) or the median with interquartile range (IQR), and categorical variables as numbers and percentages. Comparisons among non‐sepsis, sepsis, and septic shock groups were performed using ANOVA test for means, chi‐square test for the numbers, and Kruskal‐Wallis H test for medians. Comparisons between non‐sepsis and sepsis groups were performed using t test for means, chi‐square test for the numbers, and Mann‐Whitney U test for medians. Receiver operating characteristic curves were constructed to show each cut‐off levels and assess the diagnostic validity of ApoC3, B2 M, VCAM1, ApoE, PCT, and CRP alone and in combination. p values of <0.05 were regarded as statistically significant. The SPSS software system 22.0 (SPSS), GraphPad Prism 7 (GraphPad Software), and Medcalc 11.4 (MedCalc Software bvba) were used for calculations.\nContinuous variables were presented as mean ± standard deviation (SD) or the median with interquartile range (IQR), and categorical variables as numbers and percentages. Comparisons among non‐sepsis, sepsis, and septic shock groups were performed using ANOVA test for means, chi‐square test for the numbers, and Kruskal‐Wallis H test for medians. Comparisons between non‐sepsis and sepsis groups were performed using t test for means, chi‐square test for the numbers, and Mann‐Whitney U test for medians. Receiver operating characteristic curves were constructed to show each cut‐off levels and assess the diagnostic validity of ApoC3, B2 M, VCAM1, ApoE, PCT, and CRP alone and in combination. p values of <0.05 were regarded as statistically significant. The SPSS software system 22.0 (SPSS), GraphPad Prism 7 (GraphPad Software), and Medcalc 11.4 (MedCalc Software bvba) were used for calculations.", "In order to study the early warning and standardized diagnosis and treatment system of sepsis, \"database of the whole process management of early warning and diagnosis and treatment of sepsis,\" which was jointly developed by Zhejiang Hospital and Zhejiang University, were recorded completely the status and treatment of patients with sepsis before and after diagnosis. Based on this database, adult patients with suspected infection admitted to the department of critical care medicine of Zhejiang Hospital, the Second Affiliated Hospital of Zhejiang University, the First Affiliated Hospital of Sun Yat‐Sen University, West China Hospital of Sichuan University, and Ningbo First Hospital from May 2014 to October 2015 were enrolled.\nAdult patients with clinically suspected infection exhibiting one or more of the following indicators were included (1) body temperature of<36°C or >38°C, (2) respiratory rate of >20 breaths/min, (3) pulse rate of>90 beats/min, (4) white blood cell (WBC) count of>12.0 × 109/L or <4.0 × 109/L, or immature granulocyte of >10%, and (5) chief complaint of fever or chills. Cases were excluded if they refused to sign the informed consent, or age<18 years, or diagnosed with malignant tumors. Patients were evaluated four times: at enrollment, the first day, the second day, and the third day according to Sepsis 2.0.\n18\n All the “severe sepsis” diagnosed by Sepsis 2.0 were defined as “sepsis” according to Sepsis 3.0,\n1\n and others were defined as \"non‐sepsis\" in this article. Body temperature, pulse and respiratory rates, SOFA score and APACHE score, and blood samples were analyzed at the first evaluation. This study was approved by the Ethics Committee of Zhejiang Hospital (No. 2015‐94K).\nThe levels of PCT (Roche Diagnostics, USA) and CRP (Beckman coulter, Brea, CA, USA) were measured by Zhejiang Hospital according to the manufacturer's instructions.", "To reduce the influence of individual variation and increase precision and accuracy of the data in the proteomics study,\n19\n equal amounts of six different samples were mixed to produce a sample pool, and each sample pool was labeled and detected two times as technical replicates. High‐abundance serum proteins (such as albumin, IgG, IgA, fibrinogen, transferrin, haptoglobin, etc.) were removed from the mixed sample using the Human 14 Multiple Affinity Removal System Columns (Agilent). The low‐abundance proteins were concentrated and determined by the Bradford method.\nA total of 300 μg protein was washed with an extraction buffer (8 M Urea, 150mM Tris‐HCl pH8.5), 14,000g centrifuged 30 min, repeated three times. And then, each sample was alkylated with 100 μl 50 mM iodoacetamide (IAA), incubated at room time, and away from light for 30 min. The samples were washed with 100 μl UA buffer for three times to remove the exceed IAA and washed with 100 μl 1/10 dissolution buffer (100 mM triethylammonium formate) for three times to provide an alkaline environment of digestion. Finally, each sample was digested by 40 μl Trypsin buffer (2 μg Trypsin in 40 μl 1/10 Dissolution buffer) on constant temperature mixer (eppendorf thermomixer C) for 18 h at 37°C with 300rpm.", "Digested samples were labeled with an iTRAQ reagent‐8ples Multiplex kit (Applied Biosystems SCIEX) following the manufacturer's protocol. Four groups of mixed serum samples with two technical duplicates were set up: self‐controls before diagnosed with sepsis were labeled iTRAQ reagent 113, 117, and diagnosed sepsis group were labeled 114, 118; non‐self‐control of non‐sepsis group were labeled iTRAQ reagent 115, 119, and sepsis group were labeled 116, 121.\nThe eight labeled sample groups were mixed and separated using Polysulfoethyl column (4.6 × 100 mm, 5 µm, 200 Å, PolyLC Inc) with strong cation exchange (SCX) fractionation by AKTA Purifier 100 (GE Healthcare). Thirty SCX fractions were collected and combined to six SCX fractions based on SCX chromatograms. Each SCX fraction was dried by centrifugal evaporation (Eppendorf Concentrater plus) and desalted with Empore™ SPE‐C18 Cartridges (Sigma).", "The SCX fractions were analyzed using Easy‐nLC1000HPLC system (Thermo Fisher Scientific) connected to Q‐Exactive mass spectrometer (Thermo Fisher Scientific). Mobile phase A was 0.1% formic acid solution, and mobile phase B was 0.1% formic acid‐acetonitrile solution (contain 84% acetonitrile). The chromatographic column was balanced by 95% Mobile phase A. SCX fractions were loaded by an autosampler onto trapping column (2 cm*100 μm 5 μm‐C18, Thermo scientific EASY column) to enrich and desalt, and then the samples were loaded onto an analytical column (75 μm*100 mm 3 μm‐C18) to separate. The gradient was as follows: 0–105 min, mobile phase B from 0 to 10%; 105–110 min, mobile phase B from 10% to 30%; 110–120 min, mobile phase B maintain in 100%.\nThe mass spectrometer worked in positive ion mode, and the MS spectrum was obtained in the range of 300–1800 m/z. The MS scan resolution of Q‐Exactive was set to 70,000 and MS/MS scan resolution was 17,500. In the obtained MS spectrum, the top ten most intense signals were selected for further MS/MS analysis. The isolation window was 2 m/z, and ions were fragmented through higher energy collisional dissociation, and the normalized collision energies were 30 eV. The maximum ion implantation time of the measured scan was set at 10 ms, and the maximum ion implantation time of the full scan mode was set at 60 ms. The automatic gain control target value of the full scan mode was set to 3e6. The automatic gain control target value of the MS Magi MS was set to 5e4. The dynamic exclusion time is 40 s.", "RAW files were identified, quantified, and analyzed by softwares Maxquant1.4.1.2 and perseus1.4.1.3. This database is used by Uniprot human database (a total of 141,033 protein sequences, with a download date of 2014.12.19). Request search parameters were as follows: two maximum trypsin missed cleavages; peptide mass tolerance ±20 ppm; fragment mass tolerance 0.1 Da; fixed modifications were carbamidomethyl modification (C), iTRAQ‐8plex (N‐terminus), and iTRAQ‐8plex (K); variable modifications were oxidation (M), and result filter parameters were PSM‐level FDR≤0.01 and Protein‐level FDR≤0.01. The ion peak intensity reflected the relative abundance of the peptide and protein, and the quantitative ratio of the peptide segments was normalized against the median ratio value of the internal standard sample. The proteins with an expression ratio between the two groups >1.20 (upregulated proteins) or <0.83 (downregulated proteins) were chosen for further research. We used the \"cluster Profiler\"\n20\n package in R for the Gene Ontology (GO) annotations of the differentially expressed proteins (DEPs).GO database analyzed the cellular component, molecular function (MF), and biological process of proteins (BP) (p value cutoff = 0.05, q value cutoff = 0.05). The protein‐protein interaction network of these DEPs was constructed by Search Tool for the Retrieval of Interacting Genes database (STRING, https://www.string‐db.org/) and visualized by Cytoscape software. The PPI pairs were extracted with a minimum required interaction score: >0.38. The degree of each protein node was calculated by Cytoscape software.", "SerumApoC3, SERPINA1, VCAM1 (Abcam), and GPX3 protein (CUSABIO Biotech) levels were detected using ELISA kits according to the manufacturer's instructions. Briefly, serum samples were diluted with dilution factors of 1:4000, 1:200, 1:200, and 1:2000 for ApoC3, SERPINA1, VCAM1, and GPX3, respectively. If the concentration of SERPINA1 was over 2000 ng/ml or below 31.7 ng/ml, the experiment was repeated with dilution factors of 1:2000 or 1:20. Diluted samples and standards were added to microtiter wells coated with corresponding antibodies. SERPINA1 kits and VCAM1 kits were a one‐step ELISA, with antibody cocktail added together; while ApoC3 kits and GPX3 kits were classical two‐step ELISA, with specific detection antibody and enzyme conjugated second antibody added step by step. Finally, TMB substrate was added, and the reaction was then stopped by the addition of Stop Solution. Absorbance was measured on iMark microplate spectrophotometer (Bio‐Rad, Inc.) at 450 nm. The best‐fit line was determined by regression analysis using a four‐parameter logistic curve‐fit (Microplate 5.0 software, Xinghe Inc.). The sample concentration was determined from the standard curve and multiplied by the dilution factor.\nSerum B2M protein and ApoE levels were detected on AU5821 and AU5421 Automatic biochemical analyzer (Beckman coulter). B2M was agglutinated with latex particles coated with B2M antibody, and the turbidity was directly proportional to the concentration of B2M by immunoturbidimetry (AUTEC Diagnostica). ApoE was also detected by immunoturbidimetric method (Saike Biotechnology).", "Continuous variables were presented as mean ± standard deviation (SD) or the median with interquartile range (IQR), and categorical variables as numbers and percentages. Comparisons among non‐sepsis, sepsis, and septic shock groups were performed using ANOVA test for means, chi‐square test for the numbers, and Kruskal‐Wallis H test for medians. Comparisons between non‐sepsis and sepsis groups were performed using t test for means, chi‐square test for the numbers, and Mann‐Whitney U test for medians. Receiver operating characteristic curves were constructed to show each cut‐off levels and assess the diagnostic validity of ApoC3, B2 M, VCAM1, ApoE, PCT, and CRP alone and in combination. p values of <0.05 were regarded as statistically significant. The SPSS software system 22.0 (SPSS), GraphPad Prism 7 (GraphPad Software), and Medcalc 11.4 (MedCalc Software bvba) were used for calculations.", "Characteristics of the patients A total of 125 patients, containing 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, were enrolled in the study. The characteristics of the patients were compared in Table 1. Compared to non‐sepsis patients, sepsis patients and septic shock patients presented increased temperature, pulse rate, SOFA score and APACHE score, and decreased mean arterial pressure (p < 0.05). Infection marker of PCT was showing increased trend, and CRP was shoving a peak value in sepsis group (p < 0.05).\nCharacteristics of the study population\nNon‐sepsis\n(n = 53)\nSepsis\n(n = 37)\nSeptic shock\n(n = 35)\nAbbreviations: APACHE Ⅱ, acute physiology and chronic health evaluation Ⅱ; CRP, C‐reactive protein; PCT, procalcitonin; SOFA, sequential organ failure assessment.\n*p < 0.05.\nA total of 125 patients, containing 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, were enrolled in the study. The characteristics of the patients were compared in Table 1. Compared to non‐sepsis patients, sepsis patients and septic shock patients presented increased temperature, pulse rate, SOFA score and APACHE score, and decreased mean arterial pressure (p < 0.05). Infection marker of PCT was showing increased trend, and CRP was shoving a peak value in sepsis group (p < 0.05).\nCharacteristics of the study population\nNon‐sepsis\n(n = 53)\nSepsis\n(n = 37)\nSeptic shock\n(n = 35)\nAbbreviations: APACHE Ⅱ, acute physiology and chronic health evaluation Ⅱ; CRP, C‐reactive protein; PCT, procalcitonin; SOFA, sequential organ failure assessment.\n*p < 0.05.\nSerum proteins identification and relative quantification All iTRAQ‐labeled proteins were identified and quantitatively analyzed with 2D‐LC‐MS/MS. A total of 293 proteins were screened in the four groups. Among them, 37 differentially expressed proteins were identified between samples with and without sepsis, of which 19 proteins were upregulated (>1.20‐fold, p < 0.05) and 18 proteins were downregulated (< 0.83‐fold, p< 0.05) (Figure 1A, Table 2).\nFunctional enrichment analysis of the differentially expressed serum proteins in non‐sepsis and sepsis patients. (A) The differentially expressed proteins in non‐sepsis and sepsis patients; (B) significantly enriched GO terms of the differentially expressed proteins;(C) the protein‐protein interaction network constructed with the differentially expressed proteins; (D) the differentially expressed proteins with degree of connectivity\nDifferentially expressed proteins and the ratios of sepsis to non‐sepsis samples quantified by iTRAQ‐ 2DLC‐MS/MS\nFurther, the enriched functional categories by 37 differentially expressed proteins were analyzed. In biological process categories (BP), most of the differentially expressed proteins were involved in receptor‐mediated endocytosis, response to oxidative stress, acute inflammatory response, cellular response to toxic substance, acute‐phase response, detoxification, and transport. In cellular component categories, the differentially expressed proteins were mostly enriched in the extracellular, including blood microparticle, endocytic vesicle, external side of plasma membrane, endocytic vesicle lumen, lipoprotein particle, and protein‐lipid complex. In molecular function categories (MF), these proteins were mainly enriched in oxidative stress and immune response, including antioxidant activity, oxygen carrier activity, oxygen binding, peroxidase activity and oxidoreductase activity, and immunoglobulin receptor binding (Figure 1B). As shown in Figure 1CandD, ApoC3, ApoE, and SERPINA1 were the most outstanding protein with connectivity degree = 8, followed by SAA1 (degree = 6), GC (degree = 5), VCAM1 (degree = 5), B2 M (degree = 5), HBB (degree = 5), MB(degree = 4), MBL2 (degree = 3), SAA2 (degree = 3), ENSG00000224916 (degree = 3), HBA2 (degree = 2), GPX3 (degree = 1), IGHV4‐38–2 (degree = 1), and CA1(degree = 1).\nAll iTRAQ‐labeled proteins were identified and quantitatively analyzed with 2D‐LC‐MS/MS. A total of 293 proteins were screened in the four groups. Among them, 37 differentially expressed proteins were identified between samples with and without sepsis, of which 19 proteins were upregulated (>1.20‐fold, p < 0.05) and 18 proteins were downregulated (< 0.83‐fold, p< 0.05) (Figure 1A, Table 2).\nFunctional enrichment analysis of the differentially expressed serum proteins in non‐sepsis and sepsis patients. (A) The differentially expressed proteins in non‐sepsis and sepsis patients; (B) significantly enriched GO terms of the differentially expressed proteins;(C) the protein‐protein interaction network constructed with the differentially expressed proteins; (D) the differentially expressed proteins with degree of connectivity\nDifferentially expressed proteins and the ratios of sepsis to non‐sepsis samples quantified by iTRAQ‐ 2DLC‐MS/MS\nFurther, the enriched functional categories by 37 differentially expressed proteins were analyzed. In biological process categories (BP), most of the differentially expressed proteins were involved in receptor‐mediated endocytosis, response to oxidative stress, acute inflammatory response, cellular response to toxic substance, acute‐phase response, detoxification, and transport. In cellular component categories, the differentially expressed proteins were mostly enriched in the extracellular, including blood microparticle, endocytic vesicle, external side of plasma membrane, endocytic vesicle lumen, lipoprotein particle, and protein‐lipid complex. In molecular function categories (MF), these proteins were mainly enriched in oxidative stress and immune response, including antioxidant activity, oxygen carrier activity, oxygen binding, peroxidase activity and oxidoreductase activity, and immunoglobulin receptor binding (Figure 1B). As shown in Figure 1CandD, ApoC3, ApoE, and SERPINA1 were the most outstanding protein with connectivity degree = 8, followed by SAA1 (degree = 6), GC (degree = 5), VCAM1 (degree = 5), B2 M (degree = 5), HBB (degree = 5), MB(degree = 4), MBL2 (degree = 3), SAA2 (degree = 3), ENSG00000224916 (degree = 3), HBA2 (degree = 2), GPX3 (degree = 1), IGHV4‐38–2 (degree = 1), and CA1(degree = 1).\nDifferential expression proteins validation Based on the fold changes, the degree of connectivity in PPI network, and appropriateness of the samples, six proteins were selected for further verification in 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, including serum apolipoproteinC3 (ApoC3), serpin family A member 1 (SERPINA1), vascular cell adhesion molecule 1 (VCAM1), beta‐2‐microglobulin (B2M), glutathione peroxidase 3 (GPX3), and apolipoprotein E (ApoE). As shown in Table 3, the level of ApoC3 was gradually decreased among non‐sepsis, sepsis, and septic shock groups (p = 0.049). The levels of VCAM1 (p = 0.010), B2M (p = 0.004), and ApoE (p = 0.039) were showing an increased tread in three groups, and B2M and ApoE were showing peak values in the sepsis group. While the levels of GPX3 (p = 0.947), SERPINA1 (p = 0.605), and showed no significant difference among the groups (Table 3).\nAnalysis of serum ApoC3, SERPINA1, VCAM1, B2 M, GPX3, ApoE levels\nIndicates that the difference is statistically significant after Kruskal‐Wallis H test and p < 0.05.\nBased on the fold changes, the degree of connectivity in PPI network, and appropriateness of the samples, six proteins were selected for further verification in 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, including serum apolipoproteinC3 (ApoC3), serpin family A member 1 (SERPINA1), vascular cell adhesion molecule 1 (VCAM1), beta‐2‐microglobulin (B2M), glutathione peroxidase 3 (GPX3), and apolipoprotein E (ApoE). As shown in Table 3, the level of ApoC3 was gradually decreased among non‐sepsis, sepsis, and septic shock groups (p = 0.049). The levels of VCAM1 (p = 0.010), B2M (p = 0.004), and ApoE (p = 0.039) were showing an increased tread in three groups, and B2M and ApoE were showing peak values in the sepsis group. While the levels of GPX3 (p = 0.947), SERPINA1 (p = 0.605), and showed no significant difference among the groups (Table 3).\nAnalysis of serum ApoC3, SERPINA1, VCAM1, B2 M, GPX3, ApoE levels\nIndicates that the difference is statistically significant after Kruskal‐Wallis H test and p < 0.05.\nBiomarker levels for diagnosis of sepsis Table 4 shows that comparing with classical infection indexes of PCT and CRP, the validated indexes of ApoC3, VCAM1, and ApoE have higher specificity and positive predictive value, but lower sensitivity and negative predictive value, while B2M has approximate specificity and positive predictive value. To assess the validated indexes’ diagnostic efficiency of sepsis, ROC curve analysis showed that the areas under ROC curve (AUC) of ApoC3, VCAM1, B2M, and ApoE were 0.625 (95%CI: 0.517–0.725), 0.679 (95%CI: 0.573–0.774), 0.581 (95%CI: 0.472–0.684), and 0.619 (0.510–0.719), respectively, and the AUC of PCT and CRP were 0.717 (95%CI: 0.612–0.807) and 0.706 (95%CI: 0.600–0.797), respectively.The AUC of validated indexes were lower than that of PCT and CRP, but there were no significant differences between each index and PCT or CRP (p > 0.05). Each validated index respectively combined with classical infection indexes of PCT and CRP, and only the combination of VCAM1 had AUC‐ROC of 0.745, which was better than that of VCAM1 (p = 0.018). Further, the combination including four validated indexes and two classical infection indexes for septic diagnosis had the highest AUC‐ROC of 0.772, which was significantly better than that of ApoC3, VCAM1, and ApoE respectively, besides B2M. (Figure 2, Table 5).\nAnalysis of diagnostic efficacy of various indexes in the diagnosis of sepsis\nAbbreviations: NPV, Negative predictive value; PPV, Positive predictive value.\nReceiver operating characteristic curves were applied for assessing diagnostic tests\nAnalysis of diagnostic efficacy of various indexes in the diagnosis of sepsis\nCompared with PCT, # compared with CRP, & compared with PCT and CRP, @ compared with the combination of ApoC3, B2M, VCAM1, ApoE, PCT and CRP.\nTable 4 shows that comparing with classical infection indexes of PCT and CRP, the validated indexes of ApoC3, VCAM1, and ApoE have higher specificity and positive predictive value, but lower sensitivity and negative predictive value, while B2M has approximate specificity and positive predictive value. To assess the validated indexes’ diagnostic efficiency of sepsis, ROC curve analysis showed that the areas under ROC curve (AUC) of ApoC3, VCAM1, B2M, and ApoE were 0.625 (95%CI: 0.517–0.725), 0.679 (95%CI: 0.573–0.774), 0.581 (95%CI: 0.472–0.684), and 0.619 (0.510–0.719), respectively, and the AUC of PCT and CRP were 0.717 (95%CI: 0.612–0.807) and 0.706 (95%CI: 0.600–0.797), respectively.The AUC of validated indexes were lower than that of PCT and CRP, but there were no significant differences between each index and PCT or CRP (p > 0.05). Each validated index respectively combined with classical infection indexes of PCT and CRP, and only the combination of VCAM1 had AUC‐ROC of 0.745, which was better than that of VCAM1 (p = 0.018). Further, the combination including four validated indexes and two classical infection indexes for septic diagnosis had the highest AUC‐ROC of 0.772, which was significantly better than that of ApoC3, VCAM1, and ApoE respectively, besides B2M. (Figure 2, Table 5).\nAnalysis of diagnostic efficacy of various indexes in the diagnosis of sepsis\nAbbreviations: NPV, Negative predictive value; PPV, Positive predictive value.\nReceiver operating characteristic curves were applied for assessing diagnostic tests\nAnalysis of diagnostic efficacy of various indexes in the diagnosis of sepsis\nCompared with PCT, # compared with CRP, & compared with PCT and CRP, @ compared with the combination of ApoC3, B2M, VCAM1, ApoE, PCT and CRP.", "A total of 125 patients, containing 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, were enrolled in the study. The characteristics of the patients were compared in Table 1. Compared to non‐sepsis patients, sepsis patients and septic shock patients presented increased temperature, pulse rate, SOFA score and APACHE score, and decreased mean arterial pressure (p < 0.05). Infection marker of PCT was showing increased trend, and CRP was shoving a peak value in sepsis group (p < 0.05).\nCharacteristics of the study population\nNon‐sepsis\n(n = 53)\nSepsis\n(n = 37)\nSeptic shock\n(n = 35)\nAbbreviations: APACHE Ⅱ, acute physiology and chronic health evaluation Ⅱ; CRP, C‐reactive protein; PCT, procalcitonin; SOFA, sequential organ failure assessment.\n*p < 0.05.", "All iTRAQ‐labeled proteins were identified and quantitatively analyzed with 2D‐LC‐MS/MS. A total of 293 proteins were screened in the four groups. Among them, 37 differentially expressed proteins were identified between samples with and without sepsis, of which 19 proteins were upregulated (>1.20‐fold, p < 0.05) and 18 proteins were downregulated (< 0.83‐fold, p< 0.05) (Figure 1A, Table 2).\nFunctional enrichment analysis of the differentially expressed serum proteins in non‐sepsis and sepsis patients. (A) The differentially expressed proteins in non‐sepsis and sepsis patients; (B) significantly enriched GO terms of the differentially expressed proteins;(C) the protein‐protein interaction network constructed with the differentially expressed proteins; (D) the differentially expressed proteins with degree of connectivity\nDifferentially expressed proteins and the ratios of sepsis to non‐sepsis samples quantified by iTRAQ‐ 2DLC‐MS/MS\nFurther, the enriched functional categories by 37 differentially expressed proteins were analyzed. In biological process categories (BP), most of the differentially expressed proteins were involved in receptor‐mediated endocytosis, response to oxidative stress, acute inflammatory response, cellular response to toxic substance, acute‐phase response, detoxification, and transport. In cellular component categories, the differentially expressed proteins were mostly enriched in the extracellular, including blood microparticle, endocytic vesicle, external side of plasma membrane, endocytic vesicle lumen, lipoprotein particle, and protein‐lipid complex. In molecular function categories (MF), these proteins were mainly enriched in oxidative stress and immune response, including antioxidant activity, oxygen carrier activity, oxygen binding, peroxidase activity and oxidoreductase activity, and immunoglobulin receptor binding (Figure 1B). As shown in Figure 1CandD, ApoC3, ApoE, and SERPINA1 were the most outstanding protein with connectivity degree = 8, followed by SAA1 (degree = 6), GC (degree = 5), VCAM1 (degree = 5), B2 M (degree = 5), HBB (degree = 5), MB(degree = 4), MBL2 (degree = 3), SAA2 (degree = 3), ENSG00000224916 (degree = 3), HBA2 (degree = 2), GPX3 (degree = 1), IGHV4‐38–2 (degree = 1), and CA1(degree = 1).", "Based on the fold changes, the degree of connectivity in PPI network, and appropriateness of the samples, six proteins were selected for further verification in 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, including serum apolipoproteinC3 (ApoC3), serpin family A member 1 (SERPINA1), vascular cell adhesion molecule 1 (VCAM1), beta‐2‐microglobulin (B2M), glutathione peroxidase 3 (GPX3), and apolipoprotein E (ApoE). As shown in Table 3, the level of ApoC3 was gradually decreased among non‐sepsis, sepsis, and septic shock groups (p = 0.049). The levels of VCAM1 (p = 0.010), B2M (p = 0.004), and ApoE (p = 0.039) were showing an increased tread in three groups, and B2M and ApoE were showing peak values in the sepsis group. While the levels of GPX3 (p = 0.947), SERPINA1 (p = 0.605), and showed no significant difference among the groups (Table 3).\nAnalysis of serum ApoC3, SERPINA1, VCAM1, B2 M, GPX3, ApoE levels\nIndicates that the difference is statistically significant after Kruskal‐Wallis H test and p < 0.05.", "Table 4 shows that comparing with classical infection indexes of PCT and CRP, the validated indexes of ApoC3, VCAM1, and ApoE have higher specificity and positive predictive value, but lower sensitivity and negative predictive value, while B2M has approximate specificity and positive predictive value. To assess the validated indexes’ diagnostic efficiency of sepsis, ROC curve analysis showed that the areas under ROC curve (AUC) of ApoC3, VCAM1, B2M, and ApoE were 0.625 (95%CI: 0.517–0.725), 0.679 (95%CI: 0.573–0.774), 0.581 (95%CI: 0.472–0.684), and 0.619 (0.510–0.719), respectively, and the AUC of PCT and CRP were 0.717 (95%CI: 0.612–0.807) and 0.706 (95%CI: 0.600–0.797), respectively.The AUC of validated indexes were lower than that of PCT and CRP, but there were no significant differences between each index and PCT or CRP (p > 0.05). Each validated index respectively combined with classical infection indexes of PCT and CRP, and only the combination of VCAM1 had AUC‐ROC of 0.745, which was better than that of VCAM1 (p = 0.018). Further, the combination including four validated indexes and two classical infection indexes for septic diagnosis had the highest AUC‐ROC of 0.772, which was significantly better than that of ApoC3, VCAM1, and ApoE respectively, besides B2M. (Figure 2, Table 5).\nAnalysis of diagnostic efficacy of various indexes in the diagnosis of sepsis\nAbbreviations: NPV, Negative predictive value; PPV, Positive predictive value.\nReceiver operating characteristic curves were applied for assessing diagnostic tests\nAnalysis of diagnostic efficacy of various indexes in the diagnosis of sepsis\nCompared with PCT, # compared with CRP, & compared with PCT and CRP, @ compared with the combination of ApoC3, B2M, VCAM1, ApoE, PCT and CRP.", "Sepsis lacks effective early diagnostic biomarkers, which could lead to rapidly disease progresses and poor prognosis. With the development of proteomics, genomics, transcriptomics, and metabolomics, the researchers attempt to set up a batch of biomarkers for the diagnosis and prognosis of sepsis, which provide higher diagnostic specificity and sensitivity than a single biomarker. In this study, 37 differential proteins were screened between sepsis and non‐sepsis by iTRAQ‐2D‐LC‐MS/MS method. Moreover, the significantly enriched GO terms and the PPI network were performed to analyze the differentially expressed proteins. Among the 37 differential proteins screened above, we selected six (VCAM1, ApoC3, B2M, SERPINA1, GPX3, and ApoE) to validate their diagnostic value by quantitative analysis of multiple samples. Out of them, VCAM1, ApoC3, B2M, and ApoE had significant differences, while GPX3 and SERPINA1 did not. The combination of four proteins was exhibited a ROC curve with an AUC of 0.772 in diagnosing sepsis, which was higher than the AUC of PCT (0.717) and CRP (0.706).\nEndothelium dysfunction causes impaired perfusion, tissue hypoxia, organ dysfunction, and subsequent sepsis. VCAM1 appears to be associated with sepsis. VCAM was upregulated in sepsis and downregulated in non‐survivors.\n21\n Elevated serum level of VCAM1 was a more powerful predictor for septic encephalopathy in adult community‐onset sepsis on admission.\n22\n We found that the level of VCAM1 was showing an increased tread among non‐sepsis, sepsis, and septic shock groups, with a peak value in the sepsis group.\nNumerous studies demonstrated thatβ2‐microglobulin (B2M) was a biomarker of renal function, whose serum levels were associated with glomerular filtration rate.\n23\n The level of serum B2M often in combination with the increase of cystatin C and urea nitrogen were used for evaluating drug, cardiovascular risk, kidney transplantation, and kidney injuries with other etiologies.\n24\n, \n25\n, \n26\n In our study, serum B2M level was showing an increased tread among non‐sepsis, sepsis, and septic shock groups, with a peak value in the sepsis group. B2M is a circulating factor positively associated with the sepsis patients and indicative of a suspected sepsis‐induced kidney injury. Meanwhile, B2M is a component of major histocompatibility complex class 1 (MHC I) molecules, which has no transmembrane region of a ternary membrane protein complex on all nucleated cells. B2M was involved in immune reactions, such as mucosal immunity, tumor surveillance, and immunoglobulin homeostasis.\n27\n, \n28\n Since the new recognition of the relationship between hyper‐inflammatory response and immune suppression, the immune homeostasis of sepsis attracted a lot of attention.\n11\n In the B2M null mice, very limited amounts of MHC class I molecules could be detected on the cell surface, and CD8 T cells could not develop which were a subset of T cells involved in the development of acquired immunity.\n29\n, \n30\n B2M knockout mice with lethal intra‐abdominal sepsis exhibited decreased systemic inflammation and survived significantly longer than wild‐type mice.\n31\n Thus, on one hand, B2M participated in the cell surface expression of MHC class I, contributes to the stability of the peptide‐binding groove and the presenting antigenic peptides to cytotoxic T cells, and on the other hand is not desired that the overreaction of B2M promotes inflammation leading to organ injury.\nIn our study, serum ApoC3 level was gradually decreased among non‐sepsis, sepsis, and septic shock groups, which was mainly secreted by the liver, as a potential biomarker for the liver pathogenesis.\n32\n ApoC3 can be glycosylated with most abundant glycoforms by an O‐linked disaccharide galactose linked to N‐acetylgalactosamine (Gal‐ GalNAc) and less abundant glycoforms by fucosylated glycan moieties.\n33\n, \n34\n ApoC3 glycol‐isoform ratios were altered in patients with sepsis and other severe systemic diseases, which might be an important indicator for diagnostic, prognostic, and therapeutic status.\n35\n In addition, this study showed that the serum level of ApoE was increased in sepsis and septic shock group, with a peak value in the sepsis group. Previous studies had shown that ApoE genotype was associated with sepsis. Wild‐type (ε3) was associated with decreased incidence of sepsis,\n36\n and disease‐associated (ε4) alleles were also found increased in coagulation system failure in human sepsis, which was a determinant of the human innate immune response to multiple TLR ligands.\n37\n Changes of lipid metabolism in sepsis were also reported in other apolipoproteins. ApoA and ApoB concentrations in sepsis had a negative correlation with procalcitonin (PCT),\n38\n the plasma concentrations of ApoM were dramatically decreased in sepsis patients, which were contributed to the increased vascular leakage observed in sepsis.\n39\n Whether apolipoproteins can be used as a panel of biomarkers for diagnose and predict sepsis remains to be further studied.\nSERPINA1, also known as alpha‐1 antitrypsin, is a serine protease inhibitor, which can inhibit a variety of serine endopeptidases. GPX‐3 is a key selenoprotein with antioxidant properties,\n40\n which is abundant in serum and plasma. Although there was no statistical difference in the quantitative detection of SERPINA1 and GPX‐3 in this study, previous studies had shown positive outcome. SERPINA was found association with sepsis in urinary proteomics\n41\n and genomics,\n42\n and C‐terminal alpha‐1 antitrypsin peptide might be a promising discriminatory biomarker for sepsis with immunomodulatory functions.\n43\n Sepsis‐related decline of GPX‐3 protein concentration resulted in the decrease in GPX‐3 bioactivity.\n44\n Extensive experiments are needed to verify the clinical application of SERPINA1 and GPX‐3 in sepsis and uncover the mechanisms of them as a biomarker for sepsis.\nInfection markers such as PCT and CRP are commonly used for the adjuvant diagnosis of sepsis,\n4\n, \n5\n and their role in the diagnosis and prediction of sepsis is still being explored.\n45\n, \n46\n In this study, a diagnostic model by a combination of the four validated indexes and two infection markers was established, with the highest AUC‐ROC of 0.772 than that of PCT or CRP, although there were no significant differences between each combination AUC and AUC of PCT or CRP. B2M, VCAM1, and ApoE, besides ApoC3, already can be detected in clinical laboratory, which provided the clinical application possibility for septic diagnosis.", "In this study, the combination of ApoC3, VCAM1, B2M, and ApoE proteins were screened and identified as biomarkers for sepsis by using iTRAQ‐2D‐LC‐MS/MS method. This is a new combination and a supplement to classical biomarkers such as procalcitonin or C‐reactive protein.", "No conflict of interest exists in the submission of this article.", "Jing YAN conceived the study, reviewed the draft, and commented on it; Mo‐lei YAN and Shang‐zhong CHEN enrolled patient and established the database; Meng LI and Chen CHEN conducted the experiments; Meng LI and Rong‐rong REN analyzed the data and wrote the draft. All authors reviewed the article and approved the final article." ]
[ null, "materials-and-methods", null, null, null, null, null, null, null, "results", null, null, null, null, "discussion", "conclusions", "COI-statement", null ]
[ "biomarkers", "Isobaric Tags for Relative and Absolute Quantitation", "proteomics", "sepsis", "serum" ]
INTRODUCTION: Sepsis might lead to poor organ function or insufficient blood flow when the body responds to an infection, 1 which are common causes of morbidity and mortality in the intensive care unit (ICU) patients. It is estimated that there are annually 19.4 million sepsis cases with potentially high deaths in the high‐income countries as North America, Europe, Asia, and Australia. Considering a higher prevalence of sepsis in the low‐ and middle‐income countries, 2 it is suspected that the global epidemiological burden of sepsis is still difficult to be relieved. Early diagnosis and appropriate patient management are the key to improve the survival and to limit disabilities in sepsis patients. 3 Sepsis is a heterogeneous syndrome, as a consequence, it is challenging to identify at early course of the disease, even based on the sepsis 2.0 or sepsis 3.0 diagnostic criteria. Proved by the extensive laboratory and clinical studies on sepsis, biomarkers are able to provide adjunctive information about the pathogenesis of sepsis and guide rapid diagnosis. Procalcitonin (PCT) level rises quickly after the onset of infection, serving as a superior biomarker for evaluating suspected septic patients. 4 C‐reactive protein (CRP), interleukin‐27 (IL‐27), and neutrophil CD64 (nCD64), with different sensitivity and specificity, were infection markers for early diagnose of sepsis. 5 Besides serving as infection markers, heparin‐binding protein (HBP) and sphingosine‐1‐phosphate, which could induce endothelial cell dysfunction, were also involved in the pathogenesis and development of sepsis. 6 , 7 , 8 It is worth mentioning that the increase of HBP level can be detected 10.5 h prior to the development of organ dysfunction, which provides a reference for the early diagnosis and clinical management of sepsis. 9 Host immune system response is invoked early in sepsis to regulate both pro‐inflammatory and anti‐inflammatory responses. HLA‐DR and PDL1 expression on monocytes, TNF production by LPS‐stimulated whole blood cells, were potential biomarkers for innate immunity, and PD1 expression on CD4+ or CD8+ cells, IFN‐γ production by T cells, and number of circulating regulatory T cells were potential biomarkers for adaptive immunity in sepsis. 10 In 2010, Pierrakos and Vincent 11  summarized that at least 178 different sepsis biomarkers have been reported. Only 16 factors were evaluated specifically for the early diagnosis of sepsis, and 5 of these, IL‐12, interferon‐induced protein 10 (IP‐10), Group Ⅱ phospholipase 2 (PLA2‐Ⅱ), CD64, and neutrophil CD11b with high sensitivity and specificity up to 90%. However, only few biomarkers have been used in the clinical testing so far. As been called “one of the oldest and most elusive syndromes in medicine,” 12 different biochemical and immunological pathways are involved in sepsis, and a variety levels of proteins have changed in human serum. In this sense, a set of biomarkers works superior to a single biomarker. Isobaric tag for relative and absolute quantification labeling coupled with two‐dimensional liquid chromatography‐tandem mass spectrometry (iTRAQ‐2DLC‐MS/MS) is a proteomics method comparing samples between different groups to screen out a batch of differentially expressed proteins for further identification. 13 In recent years, several iTRAQ‐2D‐LC‐MS/MS studies on sepsis were performed. Su et al. 14 brought insights into the prognosis of sepsis using iTRAQ‐2D‐LC‐MS/MS. They identified seven urinary proteins and verified that downregulated LAMP‐1 level may be useful for prognostic assessment of sepsis. Cao et al. 15 proved that proteins involved in the acute phase response, coagulation signaling, atherosclerosis signaling, lipid metabolism, and production of nitric oxide, and reactive oxygen species were associated with community‐acquired pneumonia which would induce sepsis in the elderly. Jiao et al. 16 compared serum proteins of septic rats with controls, together with different time points of the survivor and non‐survivor rats, finding five proteins were tightly correlated with the presence of sepsis after verified, and four proteins were related to the prognosis of sepsis. Bian et al. 17 found the mechanism of H2 in the treatment of sepsis mice by proteomic approaches, which might be helpful for the clinical application of H2 in sepsis patients. The development of experimental techniques and methods provides a technical basis for exploring effective biomarkers for the early diagnosis of sepsis. In the study, the changes in serum proteome between sepsis and non‐sepsis groups were investigated by iTRAQ‐2D‐LC‐MS/MS, and differentially expressed proteins were quantitative identified and validated in patients with non‐sepsis and sepsis. The candidate protein biomarkers were validated as predictors for the diagnosis of sepsis. Our study provides potential biomarkers for the early diagnosis of sepsis. MATERIALS AND METHODS: Patients and control subjects In order to study the early warning and standardized diagnosis and treatment system of sepsis, "database of the whole process management of early warning and diagnosis and treatment of sepsis," which was jointly developed by Zhejiang Hospital and Zhejiang University, were recorded completely the status and treatment of patients with sepsis before and after diagnosis. Based on this database, adult patients with suspected infection admitted to the department of critical care medicine of Zhejiang Hospital, the Second Affiliated Hospital of Zhejiang University, the First Affiliated Hospital of Sun Yat‐Sen University, West China Hospital of Sichuan University, and Ningbo First Hospital from May 2014 to October 2015 were enrolled. Adult patients with clinically suspected infection exhibiting one or more of the following indicators were included (1) body temperature of<36°C or >38°C, (2) respiratory rate of >20 breaths/min, (3) pulse rate of>90 beats/min, (4) white blood cell (WBC) count of>12.0 × 109/L or <4.0 × 109/L, or immature granulocyte of >10%, and (5) chief complaint of fever or chills. Cases were excluded if they refused to sign the informed consent, or age<18 years, or diagnosed with malignant tumors. Patients were evaluated four times: at enrollment, the first day, the second day, and the third day according to Sepsis 2.0. 18 All the “severe sepsis” diagnosed by Sepsis 2.0 were defined as “sepsis” according to Sepsis 3.0, 1 and others were defined as "non‐sepsis" in this article. Body temperature, pulse and respiratory rates, SOFA score and APACHE score, and blood samples were analyzed at the first evaluation. This study was approved by the Ethics Committee of Zhejiang Hospital (No. 2015‐94K). The levels of PCT (Roche Diagnostics, USA) and CRP (Beckman coulter, Brea, CA, USA) were measured by Zhejiang Hospital according to the manufacturer's instructions. In order to study the early warning and standardized diagnosis and treatment system of sepsis, "database of the whole process management of early warning and diagnosis and treatment of sepsis," which was jointly developed by Zhejiang Hospital and Zhejiang University, were recorded completely the status and treatment of patients with sepsis before and after diagnosis. Based on this database, adult patients with suspected infection admitted to the department of critical care medicine of Zhejiang Hospital, the Second Affiliated Hospital of Zhejiang University, the First Affiliated Hospital of Sun Yat‐Sen University, West China Hospital of Sichuan University, and Ningbo First Hospital from May 2014 to October 2015 were enrolled. Adult patients with clinically suspected infection exhibiting one or more of the following indicators were included (1) body temperature of<36°C or >38°C, (2) respiratory rate of >20 breaths/min, (3) pulse rate of>90 beats/min, (4) white blood cell (WBC) count of>12.0 × 109/L or <4.0 × 109/L, or immature granulocyte of >10%, and (5) chief complaint of fever or chills. Cases were excluded if they refused to sign the informed consent, or age<18 years, or diagnosed with malignant tumors. Patients were evaluated four times: at enrollment, the first day, the second day, and the third day according to Sepsis 2.0. 18 All the “severe sepsis” diagnosed by Sepsis 2.0 were defined as “sepsis” according to Sepsis 3.0, 1 and others were defined as "non‐sepsis" in this article. Body temperature, pulse and respiratory rates, SOFA score and APACHE score, and blood samples were analyzed at the first evaluation. This study was approved by the Ethics Committee of Zhejiang Hospital (No. 2015‐94K). The levels of PCT (Roche Diagnostics, USA) and CRP (Beckman coulter, Brea, CA, USA) were measured by Zhejiang Hospital according to the manufacturer's instructions. Abundant protein depletion and protein digestion To reduce the influence of individual variation and increase precision and accuracy of the data in the proteomics study, 19 equal amounts of six different samples were mixed to produce a sample pool, and each sample pool was labeled and detected two times as technical replicates. High‐abundance serum proteins (such as albumin, IgG, IgA, fibrinogen, transferrin, haptoglobin, etc.) were removed from the mixed sample using the Human 14 Multiple Affinity Removal System Columns (Agilent). The low‐abundance proteins were concentrated and determined by the Bradford method. A total of 300 μg protein was washed with an extraction buffer (8 M Urea, 150mM Tris‐HCl pH8.5), 14,000g centrifuged 30 min, repeated three times. And then, each sample was alkylated with 100 μl 50 mM iodoacetamide (IAA), incubated at room time, and away from light for 30 min. The samples were washed with 100 μl UA buffer for three times to remove the exceed IAA and washed with 100 μl 1/10 dissolution buffer (100 mM triethylammonium formate) for three times to provide an alkaline environment of digestion. Finally, each sample was digested by 40 μl Trypsin buffer (2 μg Trypsin in 40 μl 1/10 Dissolution buffer) on constant temperature mixer (eppendorf thermomixer C) for 18 h at 37°C with 300rpm. To reduce the influence of individual variation and increase precision and accuracy of the data in the proteomics study, 19 equal amounts of six different samples were mixed to produce a sample pool, and each sample pool was labeled and detected two times as technical replicates. High‐abundance serum proteins (such as albumin, IgG, IgA, fibrinogen, transferrin, haptoglobin, etc.) were removed from the mixed sample using the Human 14 Multiple Affinity Removal System Columns (Agilent). The low‐abundance proteins were concentrated and determined by the Bradford method. A total of 300 μg protein was washed with an extraction buffer (8 M Urea, 150mM Tris‐HCl pH8.5), 14,000g centrifuged 30 min, repeated three times. And then, each sample was alkylated with 100 μl 50 mM iodoacetamide (IAA), incubated at room time, and away from light for 30 min. The samples were washed with 100 μl UA buffer for three times to remove the exceed IAA and washed with 100 μl 1/10 dissolution buffer (100 mM triethylammonium formate) for three times to provide an alkaline environment of digestion. Finally, each sample was digested by 40 μl Trypsin buffer (2 μg Trypsin in 40 μl 1/10 Dissolution buffer) on constant temperature mixer (eppendorf thermomixer C) for 18 h at 37°C with 300rpm. iTRAQ labeling and strong cationic exchange fractionation Digested samples were labeled with an iTRAQ reagent‐8ples Multiplex kit (Applied Biosystems SCIEX) following the manufacturer's protocol. Four groups of mixed serum samples with two technical duplicates were set up: self‐controls before diagnosed with sepsis were labeled iTRAQ reagent 113, 117, and diagnosed sepsis group were labeled 114, 118; non‐self‐control of non‐sepsis group were labeled iTRAQ reagent 115, 119, and sepsis group were labeled 116, 121. The eight labeled sample groups were mixed and separated using Polysulfoethyl column (4.6 × 100 mm, 5 µm, 200 Å, PolyLC Inc) with strong cation exchange (SCX) fractionation by AKTA Purifier 100 (GE Healthcare). Thirty SCX fractions were collected and combined to six SCX fractions based on SCX chromatograms. Each SCX fraction was dried by centrifugal evaporation (Eppendorf Concentrater plus) and desalted with Empore™ SPE‐C18 Cartridges (Sigma). Digested samples were labeled with an iTRAQ reagent‐8ples Multiplex kit (Applied Biosystems SCIEX) following the manufacturer's protocol. Four groups of mixed serum samples with two technical duplicates were set up: self‐controls before diagnosed with sepsis were labeled iTRAQ reagent 113, 117, and diagnosed sepsis group were labeled 114, 118; non‐self‐control of non‐sepsis group were labeled iTRAQ reagent 115, 119, and sepsis group were labeled 116, 121. The eight labeled sample groups were mixed and separated using Polysulfoethyl column (4.6 × 100 mm, 5 µm, 200 Å, PolyLC Inc) with strong cation exchange (SCX) fractionation by AKTA Purifier 100 (GE Healthcare). Thirty SCX fractions were collected and combined to six SCX fractions based on SCX chromatograms. Each SCX fraction was dried by centrifugal evaporation (Eppendorf Concentrater plus) and desalted with Empore™ SPE‐C18 Cartridges (Sigma). LC‐MS/MS analysis The SCX fractions were analyzed using Easy‐nLC1000HPLC system (Thermo Fisher Scientific) connected to Q‐Exactive mass spectrometer (Thermo Fisher Scientific). Mobile phase A was 0.1% formic acid solution, and mobile phase B was 0.1% formic acid‐acetonitrile solution (contain 84% acetonitrile). The chromatographic column was balanced by 95% Mobile phase A. SCX fractions were loaded by an autosampler onto trapping column (2 cm*100 μm 5 μm‐C18, Thermo scientific EASY column) to enrich and desalt, and then the samples were loaded onto an analytical column (75 μm*100 mm 3 μm‐C18) to separate. The gradient was as follows: 0–105 min, mobile phase B from 0 to 10%; 105–110 min, mobile phase B from 10% to 30%; 110–120 min, mobile phase B maintain in 100%. The mass spectrometer worked in positive ion mode, and the MS spectrum was obtained in the range of 300–1800 m/z. The MS scan resolution of Q‐Exactive was set to 70,000 and MS/MS scan resolution was 17,500. In the obtained MS spectrum, the top ten most intense signals were selected for further MS/MS analysis. The isolation window was 2 m/z, and ions were fragmented through higher energy collisional dissociation, and the normalized collision energies were 30 eV. The maximum ion implantation time of the measured scan was set at 10 ms, and the maximum ion implantation time of the full scan mode was set at 60 ms. The automatic gain control target value of the full scan mode was set to 3e6. The automatic gain control target value of the MS Magi MS was set to 5e4. The dynamic exclusion time is 40 s. The SCX fractions were analyzed using Easy‐nLC1000HPLC system (Thermo Fisher Scientific) connected to Q‐Exactive mass spectrometer (Thermo Fisher Scientific). Mobile phase A was 0.1% formic acid solution, and mobile phase B was 0.1% formic acid‐acetonitrile solution (contain 84% acetonitrile). The chromatographic column was balanced by 95% Mobile phase A. SCX fractions were loaded by an autosampler onto trapping column (2 cm*100 μm 5 μm‐C18, Thermo scientific EASY column) to enrich and desalt, and then the samples were loaded onto an analytical column (75 μm*100 mm 3 μm‐C18) to separate. The gradient was as follows: 0–105 min, mobile phase B from 0 to 10%; 105–110 min, mobile phase B from 10% to 30%; 110–120 min, mobile phase B maintain in 100%. The mass spectrometer worked in positive ion mode, and the MS spectrum was obtained in the range of 300–1800 m/z. The MS scan resolution of Q‐Exactive was set to 70,000 and MS/MS scan resolution was 17,500. In the obtained MS spectrum, the top ten most intense signals were selected for further MS/MS analysis. The isolation window was 2 m/z, and ions were fragmented through higher energy collisional dissociation, and the normalized collision energies were 30 eV. The maximum ion implantation time of the measured scan was set at 10 ms, and the maximum ion implantation time of the full scan mode was set at 60 ms. The automatic gain control target value of the full scan mode was set to 3e6. The automatic gain control target value of the MS Magi MS was set to 5e4. The dynamic exclusion time is 40 s. Data analysis RAW files were identified, quantified, and analyzed by softwares Maxquant1.4.1.2 and perseus1.4.1.3. This database is used by Uniprot human database (a total of 141,033 protein sequences, with a download date of 2014.12.19). Request search parameters were as follows: two maximum trypsin missed cleavages; peptide mass tolerance ±20 ppm; fragment mass tolerance 0.1 Da; fixed modifications were carbamidomethyl modification (C), iTRAQ‐8plex (N‐terminus), and iTRAQ‐8plex (K); variable modifications were oxidation (M), and result filter parameters were PSM‐level FDR≤0.01 and Protein‐level FDR≤0.01. The ion peak intensity reflected the relative abundance of the peptide and protein, and the quantitative ratio of the peptide segments was normalized against the median ratio value of the internal standard sample. The proteins with an expression ratio between the two groups >1.20 (upregulated proteins) or <0.83 (downregulated proteins) were chosen for further research. We used the "cluster Profiler" 20 package in R for the Gene Ontology (GO) annotations of the differentially expressed proteins (DEPs).GO database analyzed the cellular component, molecular function (MF), and biological process of proteins (BP) (p value cutoff = 0.05, q value cutoff = 0.05). The protein‐protein interaction network of these DEPs was constructed by Search Tool for the Retrieval of Interacting Genes database (STRING, https://www.string‐db.org/) and visualized by Cytoscape software. The PPI pairs were extracted with a minimum required interaction score: >0.38. The degree of each protein node was calculated by Cytoscape software. RAW files were identified, quantified, and analyzed by softwares Maxquant1.4.1.2 and perseus1.4.1.3. This database is used by Uniprot human database (a total of 141,033 protein sequences, with a download date of 2014.12.19). Request search parameters were as follows: two maximum trypsin missed cleavages; peptide mass tolerance ±20 ppm; fragment mass tolerance 0.1 Da; fixed modifications were carbamidomethyl modification (C), iTRAQ‐8plex (N‐terminus), and iTRAQ‐8plex (K); variable modifications were oxidation (M), and result filter parameters were PSM‐level FDR≤0.01 and Protein‐level FDR≤0.01. The ion peak intensity reflected the relative abundance of the peptide and protein, and the quantitative ratio of the peptide segments was normalized against the median ratio value of the internal standard sample. The proteins with an expression ratio between the two groups >1.20 (upregulated proteins) or <0.83 (downregulated proteins) were chosen for further research. We used the "cluster Profiler" 20 package in R for the Gene Ontology (GO) annotations of the differentially expressed proteins (DEPs).GO database analyzed the cellular component, molecular function (MF), and biological process of proteins (BP) (p value cutoff = 0.05, q value cutoff = 0.05). The protein‐protein interaction network of these DEPs was constructed by Search Tool for the Retrieval of Interacting Genes database (STRING, https://www.string‐db.org/) and visualized by Cytoscape software. The PPI pairs were extracted with a minimum required interaction score: >0.38. The degree of each protein node was calculated by Cytoscape software. Differential proteins validation SerumApoC3, SERPINA1, VCAM1 (Abcam), and GPX3 protein (CUSABIO Biotech) levels were detected using ELISA kits according to the manufacturer's instructions. Briefly, serum samples were diluted with dilution factors of 1:4000, 1:200, 1:200, and 1:2000 for ApoC3, SERPINA1, VCAM1, and GPX3, respectively. If the concentration of SERPINA1 was over 2000 ng/ml or below 31.7 ng/ml, the experiment was repeated with dilution factors of 1:2000 or 1:20. Diluted samples and standards were added to microtiter wells coated with corresponding antibodies. SERPINA1 kits and VCAM1 kits were a one‐step ELISA, with antibody cocktail added together; while ApoC3 kits and GPX3 kits were classical two‐step ELISA, with specific detection antibody and enzyme conjugated second antibody added step by step. Finally, TMB substrate was added, and the reaction was then stopped by the addition of Stop Solution. Absorbance was measured on iMark microplate spectrophotometer (Bio‐Rad, Inc.) at 450 nm. The best‐fit line was determined by regression analysis using a four‐parameter logistic curve‐fit (Microplate 5.0 software, Xinghe Inc.). The sample concentration was determined from the standard curve and multiplied by the dilution factor. Serum B2M protein and ApoE levels were detected on AU5821 and AU5421 Automatic biochemical analyzer (Beckman coulter). B2M was agglutinated with latex particles coated with B2M antibody, and the turbidity was directly proportional to the concentration of B2M by immunoturbidimetry (AUTEC Diagnostica). ApoE was also detected by immunoturbidimetric method (Saike Biotechnology). SerumApoC3, SERPINA1, VCAM1 (Abcam), and GPX3 protein (CUSABIO Biotech) levels were detected using ELISA kits according to the manufacturer's instructions. Briefly, serum samples were diluted with dilution factors of 1:4000, 1:200, 1:200, and 1:2000 for ApoC3, SERPINA1, VCAM1, and GPX3, respectively. If the concentration of SERPINA1 was over 2000 ng/ml or below 31.7 ng/ml, the experiment was repeated with dilution factors of 1:2000 or 1:20. Diluted samples and standards were added to microtiter wells coated with corresponding antibodies. SERPINA1 kits and VCAM1 kits were a one‐step ELISA, with antibody cocktail added together; while ApoC3 kits and GPX3 kits were classical two‐step ELISA, with specific detection antibody and enzyme conjugated second antibody added step by step. Finally, TMB substrate was added, and the reaction was then stopped by the addition of Stop Solution. Absorbance was measured on iMark microplate spectrophotometer (Bio‐Rad, Inc.) at 450 nm. The best‐fit line was determined by regression analysis using a four‐parameter logistic curve‐fit (Microplate 5.0 software, Xinghe Inc.). The sample concentration was determined from the standard curve and multiplied by the dilution factor. Serum B2M protein and ApoE levels were detected on AU5821 and AU5421 Automatic biochemical analyzer (Beckman coulter). B2M was agglutinated with latex particles coated with B2M antibody, and the turbidity was directly proportional to the concentration of B2M by immunoturbidimetry (AUTEC Diagnostica). ApoE was also detected by immunoturbidimetric method (Saike Biotechnology). Statistical analysis Continuous variables were presented as mean ± standard deviation (SD) or the median with interquartile range (IQR), and categorical variables as numbers and percentages. Comparisons among non‐sepsis, sepsis, and septic shock groups were performed using ANOVA test for means, chi‐square test for the numbers, and Kruskal‐Wallis H test for medians. Comparisons between non‐sepsis and sepsis groups were performed using t test for means, chi‐square test for the numbers, and Mann‐Whitney U test for medians. Receiver operating characteristic curves were constructed to show each cut‐off levels and assess the diagnostic validity of ApoC3, B2 M, VCAM1, ApoE, PCT, and CRP alone and in combination. p values of <0.05 were regarded as statistically significant. The SPSS software system 22.0 (SPSS), GraphPad Prism 7 (GraphPad Software), and Medcalc 11.4 (MedCalc Software bvba) were used for calculations. Continuous variables were presented as mean ± standard deviation (SD) or the median with interquartile range (IQR), and categorical variables as numbers and percentages. Comparisons among non‐sepsis, sepsis, and septic shock groups were performed using ANOVA test for means, chi‐square test for the numbers, and Kruskal‐Wallis H test for medians. Comparisons between non‐sepsis and sepsis groups were performed using t test for means, chi‐square test for the numbers, and Mann‐Whitney U test for medians. Receiver operating characteristic curves were constructed to show each cut‐off levels and assess the diagnostic validity of ApoC3, B2 M, VCAM1, ApoE, PCT, and CRP alone and in combination. p values of <0.05 were regarded as statistically significant. The SPSS software system 22.0 (SPSS), GraphPad Prism 7 (GraphPad Software), and Medcalc 11.4 (MedCalc Software bvba) were used for calculations. Patients and control subjects: In order to study the early warning and standardized diagnosis and treatment system of sepsis, "database of the whole process management of early warning and diagnosis and treatment of sepsis," which was jointly developed by Zhejiang Hospital and Zhejiang University, were recorded completely the status and treatment of patients with sepsis before and after diagnosis. Based on this database, adult patients with suspected infection admitted to the department of critical care medicine of Zhejiang Hospital, the Second Affiliated Hospital of Zhejiang University, the First Affiliated Hospital of Sun Yat‐Sen University, West China Hospital of Sichuan University, and Ningbo First Hospital from May 2014 to October 2015 were enrolled. Adult patients with clinically suspected infection exhibiting one or more of the following indicators were included (1) body temperature of<36°C or >38°C, (2) respiratory rate of >20 breaths/min, (3) pulse rate of>90 beats/min, (4) white blood cell (WBC) count of>12.0 × 109/L or <4.0 × 109/L, or immature granulocyte of >10%, and (5) chief complaint of fever or chills. Cases were excluded if they refused to sign the informed consent, or age<18 years, or diagnosed with malignant tumors. Patients were evaluated four times: at enrollment, the first day, the second day, and the third day according to Sepsis 2.0. 18 All the “severe sepsis” diagnosed by Sepsis 2.0 were defined as “sepsis” according to Sepsis 3.0, 1 and others were defined as "non‐sepsis" in this article. Body temperature, pulse and respiratory rates, SOFA score and APACHE score, and blood samples were analyzed at the first evaluation. This study was approved by the Ethics Committee of Zhejiang Hospital (No. 2015‐94K). The levels of PCT (Roche Diagnostics, USA) and CRP (Beckman coulter, Brea, CA, USA) were measured by Zhejiang Hospital according to the manufacturer's instructions. Abundant protein depletion and protein digestion: To reduce the influence of individual variation and increase precision and accuracy of the data in the proteomics study, 19 equal amounts of six different samples were mixed to produce a sample pool, and each sample pool was labeled and detected two times as technical replicates. High‐abundance serum proteins (such as albumin, IgG, IgA, fibrinogen, transferrin, haptoglobin, etc.) were removed from the mixed sample using the Human 14 Multiple Affinity Removal System Columns (Agilent). The low‐abundance proteins were concentrated and determined by the Bradford method. A total of 300 μg protein was washed with an extraction buffer (8 M Urea, 150mM Tris‐HCl pH8.5), 14,000g centrifuged 30 min, repeated three times. And then, each sample was alkylated with 100 μl 50 mM iodoacetamide (IAA), incubated at room time, and away from light for 30 min. The samples were washed with 100 μl UA buffer for three times to remove the exceed IAA and washed with 100 μl 1/10 dissolution buffer (100 mM triethylammonium formate) for three times to provide an alkaline environment of digestion. Finally, each sample was digested by 40 μl Trypsin buffer (2 μg Trypsin in 40 μl 1/10 Dissolution buffer) on constant temperature mixer (eppendorf thermomixer C) for 18 h at 37°C with 300rpm. iTRAQ labeling and strong cationic exchange fractionation: Digested samples were labeled with an iTRAQ reagent‐8ples Multiplex kit (Applied Biosystems SCIEX) following the manufacturer's protocol. Four groups of mixed serum samples with two technical duplicates were set up: self‐controls before diagnosed with sepsis were labeled iTRAQ reagent 113, 117, and diagnosed sepsis group were labeled 114, 118; non‐self‐control of non‐sepsis group were labeled iTRAQ reagent 115, 119, and sepsis group were labeled 116, 121. The eight labeled sample groups were mixed and separated using Polysulfoethyl column (4.6 × 100 mm, 5 µm, 200 Å, PolyLC Inc) with strong cation exchange (SCX) fractionation by AKTA Purifier 100 (GE Healthcare). Thirty SCX fractions were collected and combined to six SCX fractions based on SCX chromatograms. Each SCX fraction was dried by centrifugal evaporation (Eppendorf Concentrater plus) and desalted with Empore™ SPE‐C18 Cartridges (Sigma). LC‐MS/MS analysis: The SCX fractions were analyzed using Easy‐nLC1000HPLC system (Thermo Fisher Scientific) connected to Q‐Exactive mass spectrometer (Thermo Fisher Scientific). Mobile phase A was 0.1% formic acid solution, and mobile phase B was 0.1% formic acid‐acetonitrile solution (contain 84% acetonitrile). The chromatographic column was balanced by 95% Mobile phase A. SCX fractions were loaded by an autosampler onto trapping column (2 cm*100 μm 5 μm‐C18, Thermo scientific EASY column) to enrich and desalt, and then the samples were loaded onto an analytical column (75 μm*100 mm 3 μm‐C18) to separate. The gradient was as follows: 0–105 min, mobile phase B from 0 to 10%; 105–110 min, mobile phase B from 10% to 30%; 110–120 min, mobile phase B maintain in 100%. The mass spectrometer worked in positive ion mode, and the MS spectrum was obtained in the range of 300–1800 m/z. The MS scan resolution of Q‐Exactive was set to 70,000 and MS/MS scan resolution was 17,500. In the obtained MS spectrum, the top ten most intense signals were selected for further MS/MS analysis. The isolation window was 2 m/z, and ions were fragmented through higher energy collisional dissociation, and the normalized collision energies were 30 eV. The maximum ion implantation time of the measured scan was set at 10 ms, and the maximum ion implantation time of the full scan mode was set at 60 ms. The automatic gain control target value of the full scan mode was set to 3e6. The automatic gain control target value of the MS Magi MS was set to 5e4. The dynamic exclusion time is 40 s. Data analysis: RAW files were identified, quantified, and analyzed by softwares Maxquant1.4.1.2 and perseus1.4.1.3. This database is used by Uniprot human database (a total of 141,033 protein sequences, with a download date of 2014.12.19). Request search parameters were as follows: two maximum trypsin missed cleavages; peptide mass tolerance ±20 ppm; fragment mass tolerance 0.1 Da; fixed modifications were carbamidomethyl modification (C), iTRAQ‐8plex (N‐terminus), and iTRAQ‐8plex (K); variable modifications were oxidation (M), and result filter parameters were PSM‐level FDR≤0.01 and Protein‐level FDR≤0.01. The ion peak intensity reflected the relative abundance of the peptide and protein, and the quantitative ratio of the peptide segments was normalized against the median ratio value of the internal standard sample. The proteins with an expression ratio between the two groups >1.20 (upregulated proteins) or <0.83 (downregulated proteins) were chosen for further research. We used the "cluster Profiler" 20 package in R for the Gene Ontology (GO) annotations of the differentially expressed proteins (DEPs).GO database analyzed the cellular component, molecular function (MF), and biological process of proteins (BP) (p value cutoff = 0.05, q value cutoff = 0.05). The protein‐protein interaction network of these DEPs was constructed by Search Tool for the Retrieval of Interacting Genes database (STRING, https://www.string‐db.org/) and visualized by Cytoscape software. The PPI pairs were extracted with a minimum required interaction score: >0.38. The degree of each protein node was calculated by Cytoscape software. Differential proteins validation: SerumApoC3, SERPINA1, VCAM1 (Abcam), and GPX3 protein (CUSABIO Biotech) levels were detected using ELISA kits according to the manufacturer's instructions. Briefly, serum samples were diluted with dilution factors of 1:4000, 1:200, 1:200, and 1:2000 for ApoC3, SERPINA1, VCAM1, and GPX3, respectively. If the concentration of SERPINA1 was over 2000 ng/ml or below 31.7 ng/ml, the experiment was repeated with dilution factors of 1:2000 or 1:20. Diluted samples and standards were added to microtiter wells coated with corresponding antibodies. SERPINA1 kits and VCAM1 kits were a one‐step ELISA, with antibody cocktail added together; while ApoC3 kits and GPX3 kits were classical two‐step ELISA, with specific detection antibody and enzyme conjugated second antibody added step by step. Finally, TMB substrate was added, and the reaction was then stopped by the addition of Stop Solution. Absorbance was measured on iMark microplate spectrophotometer (Bio‐Rad, Inc.) at 450 nm. The best‐fit line was determined by regression analysis using a four‐parameter logistic curve‐fit (Microplate 5.0 software, Xinghe Inc.). The sample concentration was determined from the standard curve and multiplied by the dilution factor. Serum B2M protein and ApoE levels were detected on AU5821 and AU5421 Automatic biochemical analyzer (Beckman coulter). B2M was agglutinated with latex particles coated with B2M antibody, and the turbidity was directly proportional to the concentration of B2M by immunoturbidimetry (AUTEC Diagnostica). ApoE was also detected by immunoturbidimetric method (Saike Biotechnology). Statistical analysis: Continuous variables were presented as mean ± standard deviation (SD) or the median with interquartile range (IQR), and categorical variables as numbers and percentages. Comparisons among non‐sepsis, sepsis, and septic shock groups were performed using ANOVA test for means, chi‐square test for the numbers, and Kruskal‐Wallis H test for medians. Comparisons between non‐sepsis and sepsis groups were performed using t test for means, chi‐square test for the numbers, and Mann‐Whitney U test for medians. Receiver operating characteristic curves were constructed to show each cut‐off levels and assess the diagnostic validity of ApoC3, B2 M, VCAM1, ApoE, PCT, and CRP alone and in combination. p values of <0.05 were regarded as statistically significant. The SPSS software system 22.0 (SPSS), GraphPad Prism 7 (GraphPad Software), and Medcalc 11.4 (MedCalc Software bvba) were used for calculations. RESULTS: Characteristics of the patients A total of 125 patients, containing 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, were enrolled in the study. The characteristics of the patients were compared in Table 1. Compared to non‐sepsis patients, sepsis patients and septic shock patients presented increased temperature, pulse rate, SOFA score and APACHE score, and decreased mean arterial pressure (p < 0.05). Infection marker of PCT was showing increased trend, and CRP was shoving a peak value in sepsis group (p < 0.05). Characteristics of the study population Non‐sepsis (n = 53) Sepsis (n = 37) Septic shock (n = 35) Abbreviations: APACHE Ⅱ, acute physiology and chronic health evaluation Ⅱ; CRP, C‐reactive protein; PCT, procalcitonin; SOFA, sequential organ failure assessment. *p < 0.05. A total of 125 patients, containing 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, were enrolled in the study. The characteristics of the patients were compared in Table 1. Compared to non‐sepsis patients, sepsis patients and septic shock patients presented increased temperature, pulse rate, SOFA score and APACHE score, and decreased mean arterial pressure (p < 0.05). Infection marker of PCT was showing increased trend, and CRP was shoving a peak value in sepsis group (p < 0.05). Characteristics of the study population Non‐sepsis (n = 53) Sepsis (n = 37) Septic shock (n = 35) Abbreviations: APACHE Ⅱ, acute physiology and chronic health evaluation Ⅱ; CRP, C‐reactive protein; PCT, procalcitonin; SOFA, sequential organ failure assessment. *p < 0.05. Serum proteins identification and relative quantification All iTRAQ‐labeled proteins were identified and quantitatively analyzed with 2D‐LC‐MS/MS. A total of 293 proteins were screened in the four groups. Among them, 37 differentially expressed proteins were identified between samples with and without sepsis, of which 19 proteins were upregulated (>1.20‐fold, p < 0.05) and 18 proteins were downregulated (< 0.83‐fold, p< 0.05) (Figure 1A, Table 2). Functional enrichment analysis of the differentially expressed serum proteins in non‐sepsis and sepsis patients. (A) The differentially expressed proteins in non‐sepsis and sepsis patients; (B) significantly enriched GO terms of the differentially expressed proteins;(C) the protein‐protein interaction network constructed with the differentially expressed proteins; (D) the differentially expressed proteins with degree of connectivity Differentially expressed proteins and the ratios of sepsis to non‐sepsis samples quantified by iTRAQ‐ 2DLC‐MS/MS Further, the enriched functional categories by 37 differentially expressed proteins were analyzed. In biological process categories (BP), most of the differentially expressed proteins were involved in receptor‐mediated endocytosis, response to oxidative stress, acute inflammatory response, cellular response to toxic substance, acute‐phase response, detoxification, and transport. In cellular component categories, the differentially expressed proteins were mostly enriched in the extracellular, including blood microparticle, endocytic vesicle, external side of plasma membrane, endocytic vesicle lumen, lipoprotein particle, and protein‐lipid complex. In molecular function categories (MF), these proteins were mainly enriched in oxidative stress and immune response, including antioxidant activity, oxygen carrier activity, oxygen binding, peroxidase activity and oxidoreductase activity, and immunoglobulin receptor binding (Figure 1B). As shown in Figure 1CandD, ApoC3, ApoE, and SERPINA1 were the most outstanding protein with connectivity degree = 8, followed by SAA1 (degree = 6), GC (degree = 5), VCAM1 (degree = 5), B2 M (degree = 5), HBB (degree = 5), MB(degree = 4), MBL2 (degree = 3), SAA2 (degree = 3), ENSG00000224916 (degree = 3), HBA2 (degree = 2), GPX3 (degree = 1), IGHV4‐38–2 (degree = 1), and CA1(degree = 1). All iTRAQ‐labeled proteins were identified and quantitatively analyzed with 2D‐LC‐MS/MS. A total of 293 proteins were screened in the four groups. Among them, 37 differentially expressed proteins were identified between samples with and without sepsis, of which 19 proteins were upregulated (>1.20‐fold, p < 0.05) and 18 proteins were downregulated (< 0.83‐fold, p< 0.05) (Figure 1A, Table 2). Functional enrichment analysis of the differentially expressed serum proteins in non‐sepsis and sepsis patients. (A) The differentially expressed proteins in non‐sepsis and sepsis patients; (B) significantly enriched GO terms of the differentially expressed proteins;(C) the protein‐protein interaction network constructed with the differentially expressed proteins; (D) the differentially expressed proteins with degree of connectivity Differentially expressed proteins and the ratios of sepsis to non‐sepsis samples quantified by iTRAQ‐ 2DLC‐MS/MS Further, the enriched functional categories by 37 differentially expressed proteins were analyzed. In biological process categories (BP), most of the differentially expressed proteins were involved in receptor‐mediated endocytosis, response to oxidative stress, acute inflammatory response, cellular response to toxic substance, acute‐phase response, detoxification, and transport. In cellular component categories, the differentially expressed proteins were mostly enriched in the extracellular, including blood microparticle, endocytic vesicle, external side of plasma membrane, endocytic vesicle lumen, lipoprotein particle, and protein‐lipid complex. In molecular function categories (MF), these proteins were mainly enriched in oxidative stress and immune response, including antioxidant activity, oxygen carrier activity, oxygen binding, peroxidase activity and oxidoreductase activity, and immunoglobulin receptor binding (Figure 1B). As shown in Figure 1CandD, ApoC3, ApoE, and SERPINA1 were the most outstanding protein with connectivity degree = 8, followed by SAA1 (degree = 6), GC (degree = 5), VCAM1 (degree = 5), B2 M (degree = 5), HBB (degree = 5), MB(degree = 4), MBL2 (degree = 3), SAA2 (degree = 3), ENSG00000224916 (degree = 3), HBA2 (degree = 2), GPX3 (degree = 1), IGHV4‐38–2 (degree = 1), and CA1(degree = 1). Differential expression proteins validation Based on the fold changes, the degree of connectivity in PPI network, and appropriateness of the samples, six proteins were selected for further verification in 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, including serum apolipoproteinC3 (ApoC3), serpin family A member 1 (SERPINA1), vascular cell adhesion molecule 1 (VCAM1), beta‐2‐microglobulin (B2M), glutathione peroxidase 3 (GPX3), and apolipoprotein E (ApoE). As shown in Table 3, the level of ApoC3 was gradually decreased among non‐sepsis, sepsis, and septic shock groups (p = 0.049). The levels of VCAM1 (p = 0.010), B2M (p = 0.004), and ApoE (p = 0.039) were showing an increased tread in three groups, and B2M and ApoE were showing peak values in the sepsis group. While the levels of GPX3 (p = 0.947), SERPINA1 (p = 0.605), and showed no significant difference among the groups (Table 3). Analysis of serum ApoC3, SERPINA1, VCAM1, B2 M, GPX3, ApoE levels Indicates that the difference is statistically significant after Kruskal‐Wallis H test and p < 0.05. Based on the fold changes, the degree of connectivity in PPI network, and appropriateness of the samples, six proteins were selected for further verification in 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, including serum apolipoproteinC3 (ApoC3), serpin family A member 1 (SERPINA1), vascular cell adhesion molecule 1 (VCAM1), beta‐2‐microglobulin (B2M), glutathione peroxidase 3 (GPX3), and apolipoprotein E (ApoE). As shown in Table 3, the level of ApoC3 was gradually decreased among non‐sepsis, sepsis, and septic shock groups (p = 0.049). The levels of VCAM1 (p = 0.010), B2M (p = 0.004), and ApoE (p = 0.039) were showing an increased tread in three groups, and B2M and ApoE were showing peak values in the sepsis group. While the levels of GPX3 (p = 0.947), SERPINA1 (p = 0.605), and showed no significant difference among the groups (Table 3). Analysis of serum ApoC3, SERPINA1, VCAM1, B2 M, GPX3, ApoE levels Indicates that the difference is statistically significant after Kruskal‐Wallis H test and p < 0.05. Biomarker levels for diagnosis of sepsis Table 4 shows that comparing with classical infection indexes of PCT and CRP, the validated indexes of ApoC3, VCAM1, and ApoE have higher specificity and positive predictive value, but lower sensitivity and negative predictive value, while B2M has approximate specificity and positive predictive value. To assess the validated indexes’ diagnostic efficiency of sepsis, ROC curve analysis showed that the areas under ROC curve (AUC) of ApoC3, VCAM1, B2M, and ApoE were 0.625 (95%CI: 0.517–0.725), 0.679 (95%CI: 0.573–0.774), 0.581 (95%CI: 0.472–0.684), and 0.619 (0.510–0.719), respectively, and the AUC of PCT and CRP were 0.717 (95%CI: 0.612–0.807) and 0.706 (95%CI: 0.600–0.797), respectively.The AUC of validated indexes were lower than that of PCT and CRP, but there were no significant differences between each index and PCT or CRP (p > 0.05). Each validated index respectively combined with classical infection indexes of PCT and CRP, and only the combination of VCAM1 had AUC‐ROC of 0.745, which was better than that of VCAM1 (p = 0.018). Further, the combination including four validated indexes and two classical infection indexes for septic diagnosis had the highest AUC‐ROC of 0.772, which was significantly better than that of ApoC3, VCAM1, and ApoE respectively, besides B2M. (Figure 2, Table 5). Analysis of diagnostic efficacy of various indexes in the diagnosis of sepsis Abbreviations: NPV, Negative predictive value; PPV, Positive predictive value. Receiver operating characteristic curves were applied for assessing diagnostic tests Analysis of diagnostic efficacy of various indexes in the diagnosis of sepsis Compared with PCT, # compared with CRP, & compared with PCT and CRP, @ compared with the combination of ApoC3, B2M, VCAM1, ApoE, PCT and CRP. Table 4 shows that comparing with classical infection indexes of PCT and CRP, the validated indexes of ApoC3, VCAM1, and ApoE have higher specificity and positive predictive value, but lower sensitivity and negative predictive value, while B2M has approximate specificity and positive predictive value. To assess the validated indexes’ diagnostic efficiency of sepsis, ROC curve analysis showed that the areas under ROC curve (AUC) of ApoC3, VCAM1, B2M, and ApoE were 0.625 (95%CI: 0.517–0.725), 0.679 (95%CI: 0.573–0.774), 0.581 (95%CI: 0.472–0.684), and 0.619 (0.510–0.719), respectively, and the AUC of PCT and CRP were 0.717 (95%CI: 0.612–0.807) and 0.706 (95%CI: 0.600–0.797), respectively.The AUC of validated indexes were lower than that of PCT and CRP, but there were no significant differences between each index and PCT or CRP (p > 0.05). Each validated index respectively combined with classical infection indexes of PCT and CRP, and only the combination of VCAM1 had AUC‐ROC of 0.745, which was better than that of VCAM1 (p = 0.018). Further, the combination including four validated indexes and two classical infection indexes for septic diagnosis had the highest AUC‐ROC of 0.772, which was significantly better than that of ApoC3, VCAM1, and ApoE respectively, besides B2M. (Figure 2, Table 5). Analysis of diagnostic efficacy of various indexes in the diagnosis of sepsis Abbreviations: NPV, Negative predictive value; PPV, Positive predictive value. Receiver operating characteristic curves were applied for assessing diagnostic tests Analysis of diagnostic efficacy of various indexes in the diagnosis of sepsis Compared with PCT, # compared with CRP, & compared with PCT and CRP, @ compared with the combination of ApoC3, B2M, VCAM1, ApoE, PCT and CRP. Characteristics of the patients: A total of 125 patients, containing 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, were enrolled in the study. The characteristics of the patients were compared in Table 1. Compared to non‐sepsis patients, sepsis patients and septic shock patients presented increased temperature, pulse rate, SOFA score and APACHE score, and decreased mean arterial pressure (p < 0.05). Infection marker of PCT was showing increased trend, and CRP was shoving a peak value in sepsis group (p < 0.05). Characteristics of the study population Non‐sepsis (n = 53) Sepsis (n = 37) Septic shock (n = 35) Abbreviations: APACHE Ⅱ, acute physiology and chronic health evaluation Ⅱ; CRP, C‐reactive protein; PCT, procalcitonin; SOFA, sequential organ failure assessment. *p < 0.05. Serum proteins identification and relative quantification: All iTRAQ‐labeled proteins were identified and quantitatively analyzed with 2D‐LC‐MS/MS. A total of 293 proteins were screened in the four groups. Among them, 37 differentially expressed proteins were identified between samples with and without sepsis, of which 19 proteins were upregulated (>1.20‐fold, p < 0.05) and 18 proteins were downregulated (< 0.83‐fold, p< 0.05) (Figure 1A, Table 2). Functional enrichment analysis of the differentially expressed serum proteins in non‐sepsis and sepsis patients. (A) The differentially expressed proteins in non‐sepsis and sepsis patients; (B) significantly enriched GO terms of the differentially expressed proteins;(C) the protein‐protein interaction network constructed with the differentially expressed proteins; (D) the differentially expressed proteins with degree of connectivity Differentially expressed proteins and the ratios of sepsis to non‐sepsis samples quantified by iTRAQ‐ 2DLC‐MS/MS Further, the enriched functional categories by 37 differentially expressed proteins were analyzed. In biological process categories (BP), most of the differentially expressed proteins were involved in receptor‐mediated endocytosis, response to oxidative stress, acute inflammatory response, cellular response to toxic substance, acute‐phase response, detoxification, and transport. In cellular component categories, the differentially expressed proteins were mostly enriched in the extracellular, including blood microparticle, endocytic vesicle, external side of plasma membrane, endocytic vesicle lumen, lipoprotein particle, and protein‐lipid complex. In molecular function categories (MF), these proteins were mainly enriched in oxidative stress and immune response, including antioxidant activity, oxygen carrier activity, oxygen binding, peroxidase activity and oxidoreductase activity, and immunoglobulin receptor binding (Figure 1B). As shown in Figure 1CandD, ApoC3, ApoE, and SERPINA1 were the most outstanding protein with connectivity degree = 8, followed by SAA1 (degree = 6), GC (degree = 5), VCAM1 (degree = 5), B2 M (degree = 5), HBB (degree = 5), MB(degree = 4), MBL2 (degree = 3), SAA2 (degree = 3), ENSG00000224916 (degree = 3), HBA2 (degree = 2), GPX3 (degree = 1), IGHV4‐38–2 (degree = 1), and CA1(degree = 1). Differential expression proteins validation: Based on the fold changes, the degree of connectivity in PPI network, and appropriateness of the samples, six proteins were selected for further verification in 53 patients of non‐sepsis, 37 patients of sepsis, and 35 patients of septic shock, including serum apolipoproteinC3 (ApoC3), serpin family A member 1 (SERPINA1), vascular cell adhesion molecule 1 (VCAM1), beta‐2‐microglobulin (B2M), glutathione peroxidase 3 (GPX3), and apolipoprotein E (ApoE). As shown in Table 3, the level of ApoC3 was gradually decreased among non‐sepsis, sepsis, and septic shock groups (p = 0.049). The levels of VCAM1 (p = 0.010), B2M (p = 0.004), and ApoE (p = 0.039) were showing an increased tread in three groups, and B2M and ApoE were showing peak values in the sepsis group. While the levels of GPX3 (p = 0.947), SERPINA1 (p = 0.605), and showed no significant difference among the groups (Table 3). Analysis of serum ApoC3, SERPINA1, VCAM1, B2 M, GPX3, ApoE levels Indicates that the difference is statistically significant after Kruskal‐Wallis H test and p < 0.05. Biomarker levels for diagnosis of sepsis: Table 4 shows that comparing with classical infection indexes of PCT and CRP, the validated indexes of ApoC3, VCAM1, and ApoE have higher specificity and positive predictive value, but lower sensitivity and negative predictive value, while B2M has approximate specificity and positive predictive value. To assess the validated indexes’ diagnostic efficiency of sepsis, ROC curve analysis showed that the areas under ROC curve (AUC) of ApoC3, VCAM1, B2M, and ApoE were 0.625 (95%CI: 0.517–0.725), 0.679 (95%CI: 0.573–0.774), 0.581 (95%CI: 0.472–0.684), and 0.619 (0.510–0.719), respectively, and the AUC of PCT and CRP were 0.717 (95%CI: 0.612–0.807) and 0.706 (95%CI: 0.600–0.797), respectively.The AUC of validated indexes were lower than that of PCT and CRP, but there were no significant differences between each index and PCT or CRP (p > 0.05). Each validated index respectively combined with classical infection indexes of PCT and CRP, and only the combination of VCAM1 had AUC‐ROC of 0.745, which was better than that of VCAM1 (p = 0.018). Further, the combination including four validated indexes and two classical infection indexes for septic diagnosis had the highest AUC‐ROC of 0.772, which was significantly better than that of ApoC3, VCAM1, and ApoE respectively, besides B2M. (Figure 2, Table 5). Analysis of diagnostic efficacy of various indexes in the diagnosis of sepsis Abbreviations: NPV, Negative predictive value; PPV, Positive predictive value. Receiver operating characteristic curves were applied for assessing diagnostic tests Analysis of diagnostic efficacy of various indexes in the diagnosis of sepsis Compared with PCT, # compared with CRP, & compared with PCT and CRP, @ compared with the combination of ApoC3, B2M, VCAM1, ApoE, PCT and CRP. DISCUSSION: Sepsis lacks effective early diagnostic biomarkers, which could lead to rapidly disease progresses and poor prognosis. With the development of proteomics, genomics, transcriptomics, and metabolomics, the researchers attempt to set up a batch of biomarkers for the diagnosis and prognosis of sepsis, which provide higher diagnostic specificity and sensitivity than a single biomarker. In this study, 37 differential proteins were screened between sepsis and non‐sepsis by iTRAQ‐2D‐LC‐MS/MS method. Moreover, the significantly enriched GO terms and the PPI network were performed to analyze the differentially expressed proteins. Among the 37 differential proteins screened above, we selected six (VCAM1, ApoC3, B2M, SERPINA1, GPX3, and ApoE) to validate their diagnostic value by quantitative analysis of multiple samples. Out of them, VCAM1, ApoC3, B2M, and ApoE had significant differences, while GPX3 and SERPINA1 did not. The combination of four proteins was exhibited a ROC curve with an AUC of 0.772 in diagnosing sepsis, which was higher than the AUC of PCT (0.717) and CRP (0.706). Endothelium dysfunction causes impaired perfusion, tissue hypoxia, organ dysfunction, and subsequent sepsis. VCAM1 appears to be associated with sepsis. VCAM was upregulated in sepsis and downregulated in non‐survivors. 21 Elevated serum level of VCAM1 was a more powerful predictor for septic encephalopathy in adult community‐onset sepsis on admission. 22 We found that the level of VCAM1 was showing an increased tread among non‐sepsis, sepsis, and septic shock groups, with a peak value in the sepsis group. Numerous studies demonstrated thatβ2‐microglobulin (B2M) was a biomarker of renal function, whose serum levels were associated with glomerular filtration rate. 23 The level of serum B2M often in combination with the increase of cystatin C and urea nitrogen were used for evaluating drug, cardiovascular risk, kidney transplantation, and kidney injuries with other etiologies. 24 , 25 , 26 In our study, serum B2M level was showing an increased tread among non‐sepsis, sepsis, and septic shock groups, with a peak value in the sepsis group. B2M is a circulating factor positively associated with the sepsis patients and indicative of a suspected sepsis‐induced kidney injury. Meanwhile, B2M is a component of major histocompatibility complex class 1 (MHC I) molecules, which has no transmembrane region of a ternary membrane protein complex on all nucleated cells. B2M was involved in immune reactions, such as mucosal immunity, tumor surveillance, and immunoglobulin homeostasis. 27 , 28 Since the new recognition of the relationship between hyper‐inflammatory response and immune suppression, the immune homeostasis of sepsis attracted a lot of attention. 11 In the B2M null mice, very limited amounts of MHC class I molecules could be detected on the cell surface, and CD8 T cells could not develop which were a subset of T cells involved in the development of acquired immunity. 29 , 30 B2M knockout mice with lethal intra‐abdominal sepsis exhibited decreased systemic inflammation and survived significantly longer than wild‐type mice. 31 Thus, on one hand, B2M participated in the cell surface expression of MHC class I, contributes to the stability of the peptide‐binding groove and the presenting antigenic peptides to cytotoxic T cells, and on the other hand is not desired that the overreaction of B2M promotes inflammation leading to organ injury. In our study, serum ApoC3 level was gradually decreased among non‐sepsis, sepsis, and septic shock groups, which was mainly secreted by the liver, as a potential biomarker for the liver pathogenesis. 32 ApoC3 can be glycosylated with most abundant glycoforms by an O‐linked disaccharide galactose linked to N‐acetylgalactosamine (Gal‐ GalNAc) and less abundant glycoforms by fucosylated glycan moieties. 33 , 34 ApoC3 glycol‐isoform ratios were altered in patients with sepsis and other severe systemic diseases, which might be an important indicator for diagnostic, prognostic, and therapeutic status. 35 In addition, this study showed that the serum level of ApoE was increased in sepsis and septic shock group, with a peak value in the sepsis group. Previous studies had shown that ApoE genotype was associated with sepsis. Wild‐type (ε3) was associated with decreased incidence of sepsis, 36 and disease‐associated (ε4) alleles were also found increased in coagulation system failure in human sepsis, which was a determinant of the human innate immune response to multiple TLR ligands. 37 Changes of lipid metabolism in sepsis were also reported in other apolipoproteins. ApoA and ApoB concentrations in sepsis had a negative correlation with procalcitonin (PCT), 38 the plasma concentrations of ApoM were dramatically decreased in sepsis patients, which were contributed to the increased vascular leakage observed in sepsis. 39 Whether apolipoproteins can be used as a panel of biomarkers for diagnose and predict sepsis remains to be further studied. SERPINA1, also known as alpha‐1 antitrypsin, is a serine protease inhibitor, which can inhibit a variety of serine endopeptidases. GPX‐3 is a key selenoprotein with antioxidant properties, 40 which is abundant in serum and plasma. Although there was no statistical difference in the quantitative detection of SERPINA1 and GPX‐3 in this study, previous studies had shown positive outcome. SERPINA was found association with sepsis in urinary proteomics 41 and genomics, 42 and C‐terminal alpha‐1 antitrypsin peptide might be a promising discriminatory biomarker for sepsis with immunomodulatory functions. 43 Sepsis‐related decline of GPX‐3 protein concentration resulted in the decrease in GPX‐3 bioactivity. 44 Extensive experiments are needed to verify the clinical application of SERPINA1 and GPX‐3 in sepsis and uncover the mechanisms of them as a biomarker for sepsis. Infection markers such as PCT and CRP are commonly used for the adjuvant diagnosis of sepsis, 4 , 5 and their role in the diagnosis and prediction of sepsis is still being explored. 45 , 46 In this study, a diagnostic model by a combination of the four validated indexes and two infection markers was established, with the highest AUC‐ROC of 0.772 than that of PCT or CRP, although there were no significant differences between each combination AUC and AUC of PCT or CRP. B2M, VCAM1, and ApoE, besides ApoC3, already can be detected in clinical laboratory, which provided the clinical application possibility for septic diagnosis. CONCLUSIONS: In this study, the combination of ApoC3, VCAM1, B2M, and ApoE proteins were screened and identified as biomarkers for sepsis by using iTRAQ‐2D‐LC‐MS/MS method. This is a new combination and a supplement to classical biomarkers such as procalcitonin or C‐reactive protein. CONFLICT OF INTEREST: No conflict of interest exists in the submission of this article. AUTHOR CONTRIBUTIONS: Jing YAN conceived the study, reviewed the draft, and commented on it; Mo‐lei YAN and Shang‐zhong CHEN enrolled patient and established the database; Meng LI and Chen CHEN conducted the experiments; Meng LI and Rong‐rong REN analyzed the data and wrote the draft. All authors reviewed the article and approved the final article.
Background: Sepsis is a common cause of morbidity and mortality in the ICU patients. Early diagnosis and appropriate patient management is the key to improve the patient survival and to limit disabilities in sepsis patients. This study was aimed to find new diagnostic biomarkers of sepsis. Methods: In this study, serum proteomic profiles in sepsis patients by iTRAQ2D-LC-MS/MS. Thirty seven differentially expressed proteins were identified in patients with sepsis, and six proteins including ApoC3, SERPINA1, VCAM1, B2M, GPX3, and ApoE were selected for further verification by ELISA and immunoturbidimetry in 53 patients of non-sepsis, 37 patients of sepsis, and 35 patients of septic shock. Descriptive statistics, functional enrichment analysis, and ROC curve analysis were conducted. Results: The level of ApoC3 was gradually decreased among non-sepsis, sepsis, and septic shock groups (p = 0.049). The levels of VCAM1 (p = 0.010), B2M (p = 0.004), and ApoE (p = 0.039) were showing an increased tread in three groups, with the peak values of B2M and ApoE in the sepsis group. ROC curve analysis for septic diagnosis showed that the areas under ROC curve (AUC) of ApoC3, VCAM1, B2M, and ApoE were 0.625, 0.679, 0.581, and 0.619, respectively, which were lower than that of PCT (AUC 0.717) and CRP (AUC 0.706), but there were no significant differences between each index and PCT or CRP. The combination including four validated indexes and two classical infection indexes for septic diagnosis had the highest AUC-ROC of 0.772. Conclusions: Proteins of ApoC3, VCAM1, B2M, and ApoE provide a supplement to classical biomarkers for septic diagnosis.
INTRODUCTION: Sepsis might lead to poor organ function or insufficient blood flow when the body responds to an infection, 1 which are common causes of morbidity and mortality in the intensive care unit (ICU) patients. It is estimated that there are annually 19.4 million sepsis cases with potentially high deaths in the high‐income countries as North America, Europe, Asia, and Australia. Considering a higher prevalence of sepsis in the low‐ and middle‐income countries, 2 it is suspected that the global epidemiological burden of sepsis is still difficult to be relieved. Early diagnosis and appropriate patient management are the key to improve the survival and to limit disabilities in sepsis patients. 3 Sepsis is a heterogeneous syndrome, as a consequence, it is challenging to identify at early course of the disease, even based on the sepsis 2.0 or sepsis 3.0 diagnostic criteria. Proved by the extensive laboratory and clinical studies on sepsis, biomarkers are able to provide adjunctive information about the pathogenesis of sepsis and guide rapid diagnosis. Procalcitonin (PCT) level rises quickly after the onset of infection, serving as a superior biomarker for evaluating suspected septic patients. 4 C‐reactive protein (CRP), interleukin‐27 (IL‐27), and neutrophil CD64 (nCD64), with different sensitivity and specificity, were infection markers for early diagnose of sepsis. 5 Besides serving as infection markers, heparin‐binding protein (HBP) and sphingosine‐1‐phosphate, which could induce endothelial cell dysfunction, were also involved in the pathogenesis and development of sepsis. 6 , 7 , 8 It is worth mentioning that the increase of HBP level can be detected 10.5 h prior to the development of organ dysfunction, which provides a reference for the early diagnosis and clinical management of sepsis. 9 Host immune system response is invoked early in sepsis to regulate both pro‐inflammatory and anti‐inflammatory responses. HLA‐DR and PDL1 expression on monocytes, TNF production by LPS‐stimulated whole blood cells, were potential biomarkers for innate immunity, and PD1 expression on CD4+ or CD8+ cells, IFN‐γ production by T cells, and number of circulating regulatory T cells were potential biomarkers for adaptive immunity in sepsis. 10 In 2010, Pierrakos and Vincent 11  summarized that at least 178 different sepsis biomarkers have been reported. Only 16 factors were evaluated specifically for the early diagnosis of sepsis, and 5 of these, IL‐12, interferon‐induced protein 10 (IP‐10), Group Ⅱ phospholipase 2 (PLA2‐Ⅱ), CD64, and neutrophil CD11b with high sensitivity and specificity up to 90%. However, only few biomarkers have been used in the clinical testing so far. As been called “one of the oldest and most elusive syndromes in medicine,” 12 different biochemical and immunological pathways are involved in sepsis, and a variety levels of proteins have changed in human serum. In this sense, a set of biomarkers works superior to a single biomarker. Isobaric tag for relative and absolute quantification labeling coupled with two‐dimensional liquid chromatography‐tandem mass spectrometry (iTRAQ‐2DLC‐MS/MS) is a proteomics method comparing samples between different groups to screen out a batch of differentially expressed proteins for further identification. 13 In recent years, several iTRAQ‐2D‐LC‐MS/MS studies on sepsis were performed. Su et al. 14 brought insights into the prognosis of sepsis using iTRAQ‐2D‐LC‐MS/MS. They identified seven urinary proteins and verified that downregulated LAMP‐1 level may be useful for prognostic assessment of sepsis. Cao et al. 15 proved that proteins involved in the acute phase response, coagulation signaling, atherosclerosis signaling, lipid metabolism, and production of nitric oxide, and reactive oxygen species were associated with community‐acquired pneumonia which would induce sepsis in the elderly. Jiao et al. 16 compared serum proteins of septic rats with controls, together with different time points of the survivor and non‐survivor rats, finding five proteins were tightly correlated with the presence of sepsis after verified, and four proteins were related to the prognosis of sepsis. Bian et al. 17 found the mechanism of H2 in the treatment of sepsis mice by proteomic approaches, which might be helpful for the clinical application of H2 in sepsis patients. The development of experimental techniques and methods provides a technical basis for exploring effective biomarkers for the early diagnosis of sepsis. In the study, the changes in serum proteome between sepsis and non‐sepsis groups were investigated by iTRAQ‐2D‐LC‐MS/MS, and differentially expressed proteins were quantitative identified and validated in patients with non‐sepsis and sepsis. The candidate protein biomarkers were validated as predictors for the diagnosis of sepsis. Our study provides potential biomarkers for the early diagnosis of sepsis. CONCLUSIONS: In this study, the combination of ApoC3, VCAM1, B2M, and ApoE proteins were screened and identified as biomarkers for sepsis by using iTRAQ‐2D‐LC‐MS/MS method. This is a new combination and a supplement to classical biomarkers such as procalcitonin or C‐reactive protein.
Background: Sepsis is a common cause of morbidity and mortality in the ICU patients. Early diagnosis and appropriate patient management is the key to improve the patient survival and to limit disabilities in sepsis patients. This study was aimed to find new diagnostic biomarkers of sepsis. Methods: In this study, serum proteomic profiles in sepsis patients by iTRAQ2D-LC-MS/MS. Thirty seven differentially expressed proteins were identified in patients with sepsis, and six proteins including ApoC3, SERPINA1, VCAM1, B2M, GPX3, and ApoE were selected for further verification by ELISA and immunoturbidimetry in 53 patients of non-sepsis, 37 patients of sepsis, and 35 patients of septic shock. Descriptive statistics, functional enrichment analysis, and ROC curve analysis were conducted. Results: The level of ApoC3 was gradually decreased among non-sepsis, sepsis, and septic shock groups (p = 0.049). The levels of VCAM1 (p = 0.010), B2M (p = 0.004), and ApoE (p = 0.039) were showing an increased tread in three groups, with the peak values of B2M and ApoE in the sepsis group. ROC curve analysis for septic diagnosis showed that the areas under ROC curve (AUC) of ApoC3, VCAM1, B2M, and ApoE were 0.625, 0.679, 0.581, and 0.619, respectively, which were lower than that of PCT (AUC 0.717) and CRP (AUC 0.706), but there were no significant differences between each index and PCT or CRP. The combination including four validated indexes and two classical infection indexes for septic diagnosis had the highest AUC-ROC of 0.772. Conclusions: Proteins of ApoC3, VCAM1, B2M, and ApoE provide a supplement to classical biomarkers for septic diagnosis.
11,793
348
[ 881, 384, 266, 169, 328, 292, 292, 167, 181, 451, 248, 355, 60 ]
18
[ "sepsis", "proteins", "patients", "ms", "protein", "degree", "vcam1", "non", "b2m", "apoe" ]
[ "sepsis biomarkers able", "mechanisms biomarker sepsis", "sepsis biomarkers reported", "biomarker sepsis infection", "different sepsis biomarkers" ]
null
[CONTENT] biomarkers | Isobaric Tags for Relative and Absolute Quantitation | proteomics | sepsis | serum [SUMMARY]
null
[CONTENT] biomarkers | Isobaric Tags for Relative and Absolute Quantitation | proteomics | sepsis | serum [SUMMARY]
[CONTENT] biomarkers | Isobaric Tags for Relative and Absolute Quantitation | proteomics | sepsis | serum [SUMMARY]
[CONTENT] biomarkers | Isobaric Tags for Relative and Absolute Quantitation | proteomics | sepsis | serum [SUMMARY]
[CONTENT] biomarkers | Isobaric Tags for Relative and Absolute Quantitation | proteomics | sepsis | serum [SUMMARY]
[CONTENT] Adult | Aged | Aged, 80 and over | Biomarkers | Blood Proteins | Chromatography, Liquid | Female | Humans | Isotope Labeling | Male | Middle Aged | Proteome | Proteomics | ROC Curve | Sepsis | Tandem Mass Spectrometry [SUMMARY]
null
[CONTENT] Adult | Aged | Aged, 80 and over | Biomarkers | Blood Proteins | Chromatography, Liquid | Female | Humans | Isotope Labeling | Male | Middle Aged | Proteome | Proteomics | ROC Curve | Sepsis | Tandem Mass Spectrometry [SUMMARY]
[CONTENT] Adult | Aged | Aged, 80 and over | Biomarkers | Blood Proteins | Chromatography, Liquid | Female | Humans | Isotope Labeling | Male | Middle Aged | Proteome | Proteomics | ROC Curve | Sepsis | Tandem Mass Spectrometry [SUMMARY]
[CONTENT] Adult | Aged | Aged, 80 and over | Biomarkers | Blood Proteins | Chromatography, Liquid | Female | Humans | Isotope Labeling | Male | Middle Aged | Proteome | Proteomics | ROC Curve | Sepsis | Tandem Mass Spectrometry [SUMMARY]
[CONTENT] Adult | Aged | Aged, 80 and over | Biomarkers | Blood Proteins | Chromatography, Liquid | Female | Humans | Isotope Labeling | Male | Middle Aged | Proteome | Proteomics | ROC Curve | Sepsis | Tandem Mass Spectrometry [SUMMARY]
[CONTENT] sepsis biomarkers able | mechanisms biomarker sepsis | sepsis biomarkers reported | biomarker sepsis infection | different sepsis biomarkers [SUMMARY]
null
[CONTENT] sepsis biomarkers able | mechanisms biomarker sepsis | sepsis biomarkers reported | biomarker sepsis infection | different sepsis biomarkers [SUMMARY]
[CONTENT] sepsis biomarkers able | mechanisms biomarker sepsis | sepsis biomarkers reported | biomarker sepsis infection | different sepsis biomarkers [SUMMARY]
[CONTENT] sepsis biomarkers able | mechanisms biomarker sepsis | sepsis biomarkers reported | biomarker sepsis infection | different sepsis biomarkers [SUMMARY]
[CONTENT] sepsis biomarkers able | mechanisms biomarker sepsis | sepsis biomarkers reported | biomarker sepsis infection | different sepsis biomarkers [SUMMARY]
[CONTENT] sepsis | proteins | patients | ms | protein | degree | vcam1 | non | b2m | apoe [SUMMARY]
null
[CONTENT] sepsis | proteins | patients | ms | protein | degree | vcam1 | non | b2m | apoe [SUMMARY]
[CONTENT] sepsis | proteins | patients | ms | protein | degree | vcam1 | non | b2m | apoe [SUMMARY]
[CONTENT] sepsis | proteins | patients | ms | protein | degree | vcam1 | non | b2m | apoe [SUMMARY]
[CONTENT] sepsis | proteins | patients | ms | protein | degree | vcam1 | non | b2m | apoe [SUMMARY]
[CONTENT] sepsis | biomarkers | early | early diagnosis | ms | diagnosis | proteins | different | clinical | cells [SUMMARY]
null
[CONTENT] degree | sepsis | proteins | patients | indexes | expressed | differentially expressed | differentially | expressed proteins | differentially expressed proteins [SUMMARY]
[CONTENT] biomarkers | combination | ms | identified biomarkers sepsis | study combination apoc3 vcam1 | combination apoc3 vcam1 b2m | identified biomarkers sepsis itraq | identified biomarkers | study combination | study combination apoc3 [SUMMARY]
[CONTENT] sepsis | proteins | patients | ms | degree | b2m | vcam1 | protein | non | apoe [SUMMARY]
[CONTENT] sepsis | proteins | patients | ms | degree | b2m | vcam1 | protein | non | apoe [SUMMARY]
[CONTENT] ICU ||| ||| [SUMMARY]
null
[CONTENT] 0.049 ||| VCAM1 | 0.010 | 0.004 | ApoE | 0.039 | three | B2M | ApoE ||| ROC | ROC | ApoE | 0.625 | 0.679 | 0.581 | 0.619 | PCT | 0.717 | CRP | 0.706 | PCT | CRP ||| four | two | 0.772 [SUMMARY]
[CONTENT] ApoE [SUMMARY]
[CONTENT] ICU ||| ||| ||| ||| Thirty seven | six | SERPINA1 | VCAM1 | GPX3 | ApoE | ELISA | 53 | 37 | 35 ||| ROC ||| 0.049 ||| VCAM1 | 0.010 | 0.004 | ApoE | 0.039 | three | B2M | ApoE ||| ROC | ROC | ApoE | 0.625 | 0.679 | 0.581 | 0.619 | PCT | 0.717 | CRP | 0.706 | PCT | CRP ||| four | two | 0.772 ||| ApoE [SUMMARY]
[CONTENT] ICU ||| ||| ||| ||| Thirty seven | six | SERPINA1 | VCAM1 | GPX3 | ApoE | ELISA | 53 | 37 | 35 ||| ROC ||| 0.049 ||| VCAM1 | 0.010 | 0.004 | ApoE | 0.039 | three | B2M | ApoE ||| ROC | ROC | ApoE | 0.625 | 0.679 | 0.581 | 0.619 | PCT | 0.717 | CRP | 0.706 | PCT | CRP ||| four | two | 0.772 ||| ApoE [SUMMARY]
Prevalence and socio-economic factors affecting the use of traditional medicine among adults of Katikekile Subcounty, Moroto District, Uganda.
35222606
In Uganda generally and in rural areas in particular, use of traditional medicine is a common practice, yet there remains lack of evidence on the overall utilization of traditional medicine and there are many aspects that remain unclear.
BACKGROUND
A descriptive cross-sectional study using quantitative and qualitative methods. Interviews among 323 respondents, and focus group discussions were carried out among village traditional birth attendants, village health team members, and traditional health providers.
METHODS
Use of traditional medicine among the adults of Katikekile Subcounty was 68%. Usage was more prevalent among older people, and the majority of the adults used traditional medicine often as their first line-treatment for any illness. Herbs used for traditional medicines are usually locally available and free-of-charge. Long distance to health-facility based health care services, and medical fees contributed to the use of traditional medicine.
RESULTS
Use of traditional medicine among adults of Katikekile Subcounty in Moroto in the Karamoja region in Uganda was high, and majority of the adults often used traditional medicine as first line-treatment. Both socioeconomic and health sector factors were associated with use of traditional medicine.
CONCLUSION
[ "Adult", "Aged", "Cross-Sectional Studies", "Economic Factors", "Humans", "Medicine, Traditional", "Prevalence", "Socioeconomic Factors", "Uganda" ]
8843291
Introduction
African Traditional Medicine (TM) is a holistic discipline that integrates indigenous use of herbs and spiritualism. It is based on indigenous experiences and knowledge, whether explicable or not, and used for general health purposes as well as for diagnosis, prevention or treatment of physical and mental illness1, and is widely used in sub-Saharan Africa including Uganda2. Diagnosis of illness is done using spiritual means, while treatment, consists of herbs. These herbs are not only believed to provide cure but have symbolic and spiritual significance. This differs from western medicine, which is, largely, scientific. Previously, there has been a misbelief that the conception of disease in sub-Saharan Africa was embedded in “witchcraft”. None the less, the aetiology of illness in Africa is traditionally viewed from both supernatural and natural perspectives. TM practice has a wide scope covering treatment with herbal medicine3, bone setting, birth delivery and child health and mental health care among others. Some of the challenges with TM include is delay of treatment, patients not receiving the best available management, discontinuation of efficacious or interaction between traditional herbs and modern medicine4, 5. While there is potential danger in some traditional methods, TM healers serve an important role in health promotion, disease prevention and treatment6. In order to minimise distrust between modern and traditional health providers and to obtain cooperation and regulation, both traditional and modern health providers must acknowledge their areas of strengths and weaknesses 7,8. Even though some traditional healers are being integrated into the national health system in Uganda to some extent, traditional medicine has not been fully incorporated, yet 60-80% of Ugandans visit traditional healers as their first line health care9, 10. It is also known that successful community-based intervention are based on mutual understanding between healthcare workers and community members11. In a way, the use of traditional medicine has been researched to some extent, in order to establish the efficacy and efficiency of TM 12–14. None the less, most of the traditional medicines being used in Uganda have neither been studied nor regulated. Some factors have been reported to be the reason for the widespread use of TM in sub-Saharan Africa. Accessibility of traditional health providers is, by and large, higher than modern western heath care providers. For example, the ratio of traditional health providers to the population is 1: 500 while that of for modern medical doctors is 1:40 000. We also know that most modern medical doctors are based in urban areas leaving people in rural communities with no choice but to consult traditional health providers in case of illness8. A recent review of factors affecting use of TM included low socioeconomic and educational status; while there were inconsistencies in gender, age and religious beliefs15. It has been reported that older age and female gender is associated with increased use of TM 16, but there are conflicting data on how other factors such as educational level, religion and spiritual beliefs, marital status affect use of TM 17. However, the users of TM choose health practices that resonate with their beliefs about health18. It has, also, been reported that TM is more easily accessible mainly because of a multiplicity of users, the herbs normally grow in gardens or bushes close to the homes and hence their use is free of charge without any significant economic limitations 19. Distance to the health facility has been found be related to the use of modern health facilities as well as modern medicine1, 20; In addition, health system factors, such as policies that control the use of TM, have a great influence on the use of TM. The attitude of health workers towards patients, and waiting time at health facilities before accessing health services, can attract patients or discourage them from using health services in modern health facilities 9. This might force them to use available alternatives such as TM 21. While the use of TM in sub-Saharan Africa seems widespread, only a few studies have been made regarding factors related with TM use15. This is the main justification for further research to elucidate opportunities and challenges associated with use of TM
Methods
This was a descriptive cross-sectional study using quantitative and qualitative methods of data collection. It is a sequential explanatory design, where the data was collected in two consecutive phases. In the initial phase the researcher collected and analysed quantitative data. This was followed up by a second phase collecting qualitative data using a questionnaire based on the results from the first phase. Multiple (simple random and probability proportionate to size) sampling methods were used since the population of interest comprised more subgroups. The number of participants from each subgroup was determined by their number relative to the entire population. Study site The study took place in Katikekile Subcounty, Moroto district, Karamoja Region, Uganda. The population of the study area was approximately 1693 (Uganda national census 2002), and consist of Karimojongs, who traditionally run an agro-pastural or seminomadic lifestyle. The semiarid dry tree savanna district is largely rural with about 80% of the population living in rural areas and 20% of the people living in urban areas. The subcounty was divided into four zones; east, west, north and south, corresponding to the administrative areas of the local councils (LC1). To obtain a non-biased number of subjects from each selected zone, a probability proportional to size method (the Kish Leslie formula of sample size determination22 was applied to estimate the number of respondents to interview from each zone based on the estimated population. The houses from each zone was numbered and randomly selected by balloting the house numbers. Then one adult from each household who was willing to participate and qualified per inclusion criteria in the study was interviewed. In all 323 respondents participated in the study. The study was conducted during the month of June 2013. The population included all adults both adult men and women above 18 years of age. Participation in the study was voluntary and unpaid. Participants who had communication hindrances such as the deaf and mute were excluded from the study. The study took place in Katikekile Subcounty, Moroto district, Karamoja Region, Uganda. The population of the study area was approximately 1693 (Uganda national census 2002), and consist of Karimojongs, who traditionally run an agro-pastural or seminomadic lifestyle. The semiarid dry tree savanna district is largely rural with about 80% of the population living in rural areas and 20% of the people living in urban areas. The subcounty was divided into four zones; east, west, north and south, corresponding to the administrative areas of the local councils (LC1). To obtain a non-biased number of subjects from each selected zone, a probability proportional to size method (the Kish Leslie formula of sample size determination22 was applied to estimate the number of respondents to interview from each zone based on the estimated population. The houses from each zone was numbered and randomly selected by balloting the house numbers. Then one adult from each household who was willing to participate and qualified per inclusion criteria in the study was interviewed. In all 323 respondents participated in the study. The study was conducted during the month of June 2013. The population included all adults both adult men and women above 18 years of age. Participation in the study was voluntary and unpaid. Participants who had communication hindrances such as the deaf and mute were excluded from the study. Data collection The researcher used researcher-administered questionnaires for collecting data. One questionnaire for collecting quantitative with closed ended questions and another questionnaire for collecting qualitative data including both open and close-ended questions. Use of TM was predominantly stated to be use of herbal medicine. A pre-test of the questionnaires was done in another subcounty other than Katikekile to check and ensure its suitability, reliability and validity. Questions that were identified as not clear or irrelevant to the study were edited or omitted. In addition to collecting quantitative data using the first questionnaire, focus group discussions were carried out to obtain qualitative data. Focus groups were formed by identifying both traditional and official healthcare providers in the study site. The focus groups thus included village traditional birth attendants, health officials at village level, known village health team (VHT) and traditional health providers/herbalists. Traditional birth attendants were purely women whereas the other groups were both male and female. Nine focus group discussions were carried out with 10 traditional birth attendants, 10 Health officials/VHT and 10 Traditional health providers/herbalists in the 3 villages. Each focus group discussion lasted for two and half hours. The focus group discussions were facilitated by the researcher herself, a local public health nurse with knowledge of the local area and population. As she was Karimojong, the discussions were carried out in the local language. The discussions were written down with arguments and quotes by the researcher and an assistant in English during the and after the focus group discussions. During the focus group discussions, they were told to list all the common diseases and how they treat them in their community. The items gathered from free listing which were written in the separate cards, were sorted out by the group members to put in the piles according to the types of diseases and its treatment and on the other pile how easily they can access treatment and another the cost of treatment. The researcher used researcher-administered questionnaires for collecting data. One questionnaire for collecting quantitative with closed ended questions and another questionnaire for collecting qualitative data including both open and close-ended questions. Use of TM was predominantly stated to be use of herbal medicine. A pre-test of the questionnaires was done in another subcounty other than Katikekile to check and ensure its suitability, reliability and validity. Questions that were identified as not clear or irrelevant to the study were edited or omitted. In addition to collecting quantitative data using the first questionnaire, focus group discussions were carried out to obtain qualitative data. Focus groups were formed by identifying both traditional and official healthcare providers in the study site. The focus groups thus included village traditional birth attendants, health officials at village level, known village health team (VHT) and traditional health providers/herbalists. Traditional birth attendants were purely women whereas the other groups were both male and female. Nine focus group discussions were carried out with 10 traditional birth attendants, 10 Health officials/VHT and 10 Traditional health providers/herbalists in the 3 villages. Each focus group discussion lasted for two and half hours. The focus group discussions were facilitated by the researcher herself, a local public health nurse with knowledge of the local area and population. As she was Karimojong, the discussions were carried out in the local language. The discussions were written down with arguments and quotes by the researcher and an assistant in English during the and after the focus group discussions. During the focus group discussions, they were told to list all the common diseases and how they treat them in their community. The items gathered from free listing which were written in the separate cards, were sorted out by the group members to put in the piles according to the types of diseases and its treatment and on the other pile how easily they can access treatment and another the cost of treatment. Data analysis To study the possible factors affecting use of TM the study participants were categorised by demographics into gender, age, level of education, religion and marital status. Socio-economic and health system factors such as accessibility of TM, cultural norms, distance to health centre, affordability of health care services, attitude of healthcare workers and monthly income were recorded as well. This to identify possible associations between these and use of traditional medicine. Only complete datasets were used in the analyses. Both crude and adjusted analysis were carried out using both univariable and multivariable logistic regression models to estimate the association (odds ratios) between the use of TM as outcome and the exploratory factors. The data is presented with 95% confidence intervals and thus a p-value of <0.05 was considered statistically significant. Computer software-Stata 16 was used. The qualitative data from the focus group discussion were analysed, where possible causal relationship between findings of the quantitative data were described. Arguments and opinions were then grouped into categories trying to give a picture of both the main trends among the focus group members and statements for either side from the main trend. To study the possible factors affecting use of TM the study participants were categorised by demographics into gender, age, level of education, religion and marital status. Socio-economic and health system factors such as accessibility of TM, cultural norms, distance to health centre, affordability of health care services, attitude of healthcare workers and monthly income were recorded as well. This to identify possible associations between these and use of traditional medicine. Only complete datasets were used in the analyses. Both crude and adjusted analysis were carried out using both univariable and multivariable logistic regression models to estimate the association (odds ratios) between the use of TM as outcome and the exploratory factors. The data is presented with 95% confidence intervals and thus a p-value of <0.05 was considered statistically significant. Computer software-Stata 16 was used. The qualitative data from the focus group discussion were analysed, where possible causal relationship between findings of the quantitative data were described. Arguments and opinions were then grouped into categories trying to give a picture of both the main trends among the focus group members and statements for either side from the main trend. Ethical consideration Most participants were illiterate so verbal information about the study was given prior to collecting data for both the quantitative part and prior to the focus group interviews. A consent form signed either by writing or thump print. The study followed the guidelines provided by International Health Sciences University23 by seeking legal acceptance from the university in form of a letter of authorization from both the university and Katikekile Subcounty. Most participants were illiterate so verbal information about the study was given prior to collecting data for both the quantitative part and prior to the focus group interviews. A consent form signed either by writing or thump print. The study followed the guidelines provided by International Health Sciences University23 by seeking legal acceptance from the university in form of a letter of authorization from both the university and Katikekile Subcounty.
Results
The study included 323 respondents. Data regarding socio-demographic of the respondents, health system factors and associations between these and usage of TM are presented in table 1. The use of TM was 221 of 323 (68.4%), and usage was more prevalent among older people, married people and people who believed there is no cultural influence for using TM. Long distance to the nearest health center or its services was also associated with higher use of TM. Of the respondents who used TM 31% reported they always used TM, 58% often and 11% rarely. Demographics, socio-economic indicators and health system factors associated with use of traditional medicine (TM) among people in Katikekile sub county, crude and adjusted Odds Ratios (OR) Statistically significant p<0.05 statistically significant p<0.001 Ref: reference Adjusted OR: adjustment includes all available variables in the analysis (data for monthly income from different dataset) 95% CI: 95% confidence intervals High level of education was positively associated with increased use of TM, where 74% of people with a secondary school degree or higher used TM, versus 63% among respondents with a primary school degree or lower (adjusted p=1.78, CI 95% 1.01–3.12). And similarly, a high level of income was positively associated with increased use of TM, where 73% of people with a monthly income of 50,000 Uganda Shilling or more used TM, versus 59% among respondents with a monthly income of 50,000 Uganda Shilling or less (p=1.90, CI 95% 1.17–3.10). A positive attitude of the health workers were found to be associated with an increased use of traditional medicine, however the study found that there was a predominantly negative attitude towards the patients at the health center and only 40/323 (12.4%) respondents find a positive attitude towards them when seeking assistance in the health facility. The quantitative data and the positive associations were included in the focus groups to determine causality of the findings. The group discussion revealed causality of the analyses, and furthermore some interesting points were stated from the respondents listed below. Attitude towards using TM was explained during the focus group discussions, where an elderly man (in favor of the TM) stated: The only unfortunate thing is that, some herbalists/healers are not ready to share the knowledge on the use of TM with the young people and as a result such indigenous knowledge on medicinal herbs that ought to be passed on from one generation to the next might soon be lost. However, one of the women (who apparently were against the use of TM) said: “one of the greatest challenges with the use of traditional medicine is that there is no mechanism that has been devised to measure the accurate dosage to be dispensed especially from the herbs used. As a result of using such herbs especially with the consultation of a traditional healer/herbalist, patients tend to delay to seek health-facility based medical care which encourages the advancement of the disease and since in most cases the patients have already used herbs, the risk of developing drug-resistant strains of infections is high”. Most herbs used for traditional medicines are within the homesteads, gardens or near-by bushes and are free-ofcharge, and thus quite accessible for the people to use. Easy access to TM seems to increase use of TM, which was consistent with the findings in the focus group discussions, where discussants agreed that, “availability of most of the basic traditional medicines within the homesteads increases accessibility to such herbs and since there is no cost involved; most residents easily opt for traditional medicine rather than modern drugs”. One traditional healer stated: “although herbs are known to treat different illnesses, even I, myself, am not sure of the active components in most of these herbs and the mechanism by which these herbs work. Often herbs are given to the patient on a trial and error basis. The patients always hope that the traditional medicine works before they patient return to change to another type of herb”. According to a Village Health Volunteer, “there are many factors which prevent residents from utilizing modern health care services..... but the most intent factor is affordability of the services and medicines at health facilities”. He adds, “...most of the residents find such medicines very expensive because of the high levels of poverty in addition to ignorance and limited knowledge on prevention of disease. Most of the herbs relieve pain yet not curing the actual illness. So, patients using TM are in most cases made to believe that they are fine and that the medicine is working. Especially when it relieves them of fevers and pain. Also, long waiting time and distances moved to the health facility, force patients to resort to TM which is readily available in the community”. Examples of traditional medicines commonly used by the participants are shown in figure 1. Examples of plants for traditional medicines used by respondents (in Latin names)
Conclusions
The use of Traditional Medicine among adults of Katikekile Subcounty in the Karamoja region of Uganda was high but use of TM compared to modern medicine is not a matter of ‘either-or’, but rather ‘both-and’. None the less, use of TM is more prevalent among older people, married couples and those who live far from official health facilities. Most herbs used for traditional medicines are grown near-homesteads and are, by and large, free-of-charge. Hence they are quite accessible compared long distance to health facilities which a facilitator for using TM.
[ "Objectives", "Study site", "Data collection", "Data analysis", "Ethical consideration", "Strengths and weaknesses", "Interpretation and comparing result", "Health system and use of traditional medicine" ]
[ "This study sought to determine the prevalence of traditional medicine use; and determine socio-economic as well as health system factors associated with use of traditional medicine in Katikekile Subcounty, Moroto district, Uganda.", "The study took place in Katikekile Subcounty, Moroto district, Karamoja Region, Uganda. The population of the study area was approximately 1693 (Uganda national census 2002), and consist of Karimojongs, who traditionally run an agro-pastural or seminomadic lifestyle. The semiarid dry tree savanna district is largely rural with about 80% of the population living in rural areas and 20% of the people living in urban areas.\nThe subcounty was divided into four zones; east, west, north and south, corresponding to the administrative areas of the local councils (LC1). To obtain a non-biased number of subjects from each selected zone, a probability proportional to size method (the Kish Leslie formula of sample size determination22 was applied to estimate the number of respondents to interview from each zone based on the estimated population. The houses from each zone was numbered and randomly selected by balloting the house numbers. Then one adult from each household who was willing to participate and qualified per inclusion criteria in the study was interviewed. In all 323 respondents participated in the study.\nThe study was conducted during the month of June 2013. The population included all adults both adult men and women above 18 years of age. Participation in the study was voluntary and unpaid. Participants who had communication hindrances such as the deaf and mute were excluded from the study.", "The researcher used researcher-administered questionnaires for collecting data. One questionnaire for collecting quantitative with closed ended questions and another questionnaire for collecting qualitative data including both open and close-ended questions. Use of TM was predominantly stated to be use of herbal medicine.\nA pre-test of the questionnaires was done in another subcounty other than Katikekile to check and ensure its suitability, reliability and validity. Questions that were identified as not clear or irrelevant to the study were edited or omitted.\nIn addition to collecting quantitative data using the first questionnaire, focus group discussions were carried out to obtain qualitative data. Focus groups were formed by identifying both traditional and official healthcare providers in the study site. The focus groups thus included village traditional birth attendants, health officials at village level, known village health team (VHT) and traditional health providers/herbalists. Traditional birth attendants were purely women whereas the other groups were both male and female. Nine focus group discussions were carried out with 10 traditional birth attendants, 10 Health officials/VHT and 10 Traditional health providers/herbalists in the 3 villages. Each focus group discussion lasted for two and half hours. The focus group discussions were facilitated by the researcher herself, a local public health nurse with knowledge of the local area and population. As she was Karimojong, the discussions were carried out in the local language. The discussions were written down with arguments and quotes by the researcher and an assistant in English during the and after the focus group discussions.\nDuring the focus group discussions, they were told to list all the common diseases and how they treat them in their community. The items gathered from free listing which were written in the separate cards, were sorted out by the group members to put in the piles according to the types of diseases and its treatment and on the other pile how easily they can access treatment and another the cost of treatment.", "To study the possible factors affecting use of TM the study participants were categorised by demographics into gender, age, level of education, religion and marital status. Socio-economic and health system factors such as accessibility of TM, cultural norms, distance to health centre, affordability of health care services, attitude of healthcare workers and monthly income were recorded as well. This to identify possible associations between these and use of traditional medicine. Only complete datasets were used in the analyses. Both crude and adjusted analysis were carried out using both univariable and multivariable logistic regression models to estimate the association (odds ratios) between the use of TM as outcome and the exploratory factors. The data is presented with 95% confidence intervals and thus a p-value of <0.05 was considered statistically significant. Computer software-Stata 16 was used. The qualitative data from the focus group discussion were analysed, where possible causal relationship between findings of the quantitative data were described. Arguments and opinions were then grouped into categories trying to give a picture of both the main trends among the focus group members and statements for either side from the main trend.", "Most participants were illiterate so verbal information about the study was given prior to collecting data for both the quantitative part and prior to the focus group interviews. A consent form signed either by writing or thump print. The study followed the guidelines provided by International Health Sciences University23 by seeking legal acceptance from the university in form of a letter of authorization from both the university and Katikekile Subcounty.", "The results from this study should be interpreted with some caution taking potential weaknesses of the study into consideration. Participating in the study was voluntary which may have influenced who would participate rate and representativeness of the study population. As the researcher represents the health care system one might believe that some respondents would be more hesitant to tell whether they used TM. The result represents the usage of TM in one particular community, and the results are not necessarily likely to be generalizable to other parts of Uganda or rural areas.\nStrengths of the study were that the researcher was from that culture herself, and understood the people, the language and culture. By using a sequential explanatory design, where the data was collected in two consecutive phases, firstly collecting and analysing quantitative data and secondly using results from the first phase to conduct focus group obtaining qualitative data add to the credibility of the results.", "Our findings are in line with previously studies, where use of TM has been stated to be between 60–80% among Ugandans and often as their first line of treatment9, 10. Similarly, other studies document relatively high use of TM alone or in conjunction with modern medicine in Sub-Saharan countries, where approximately two thirds of users of fail to disclose this use to their healthcare providers15.\nSocio-economic factors and use of traditional medicine Usage was more prevalent among older people. The age of TM users has previous been reported to younger (20–50 years) of age in urban or semiurban settings24,25 but in rural settings older people (>50 years) are more likely to use TM26, 27. That older people have higher use of TM could be related to both cultural issues, but also, that older people are more prone to suffer from medical conditions and hence require increased health care. In Katikekile, due to cultural influence and existence of cultural norms, which encourage the use of traditional medicine the youth are taught on how to use TM at an early age by their elders.\nMarried people and people who believed there is not a cultural influence for using TM were more likely to use this. Generally, TM users compared with non-TM users in Sub-Saharan Africa were more often reported to be married than not married28–30. Young people who are still single are most likely to be staying with their elderly parents, guardians or relatives and might be influenced by the practices of these significant others. Similarly, the use of TM among married people could be influenced by the backgrounds of the couple. Therefore, the influence of marital status on the use of traditional medicine lies in the background and influence of the spouse on the use of TM or conventional medicine so usage of TM among married people does not come as a surprise. Surprisingly we found that higher educational level of education was associated with higher use of TM. This contradicts observations from previous studies, where TM users are reported to have little or no formal education24-27, 31, though a similar observation has been reported as ours32. People with high level of education and high level of income might have more knowledge and possibility to care for themselves and thus invest in health more than people with less education and lower income. This includes use of TM. Using TM in our study might thus reflect an increased focus and concern of health-related issues among people with higher education rather than preference of type of health care (tradition versus modern). This is also like to be the case regarding that a high monthly income was associated with higher use of TM.\nAlso, health system factors like easy availability of TM and long distance to health facility were associated with high use of TM.\nThe influence of religion on the use of traditional medicine does not exactly prove to deter the use of different herbs since it does not clearly speak against it. In some societies where traditional medicine has been highly associated with witchcraft, Christianity and Islam tend to discourage the use of traditional medicine especially in cases where users go to shrines of traditional practitioners33. On the other hand, believers in traditional religions believe that conventional medicine is not in line with their faith and it is their gods who can guide the TM men to herbal medicine to treat specific diseases33.", "Easy availability of TM was associated with high use of TM. This finding was backed up during the focus groups interviews, where it was stated, that most herbs used for traditional medicines were within the homesteads, gardens or near-by bushes and were free-of-charge, and hence quite accessible. This was unlike health-facility based health care services, which are normally distant from the homesteads and attract transport fare as well as medical fees.\nLong distance to health facility were associated with high use of TM. The distance and the time it takes to travel and the costs such as transport fare and medical fees often deter patients from going to the facilities to access modern medicines1, 20. This influences most patients to use traditional medicine as their first-line treatment for any illness and only go to the health facility when the illness has advanced or when more complications have developed. Limited access to health care services at the health facility where most patients are delayed due to congestion especially in public health centre often results into long waiting time. Yet patients and the people who escort them to the health facility usually have a lot of domestic and commercial work which they have to accomplish back home.\nWhile the negative attitude of health workers might discourage patients from coming to health facilities for conventional medicine in preference for TM, there is increasing focus on intercultural medicine to overcome barriers among indigenous people34. Hence, patients who have had bad experiences where they have been abused or assaulted by health workers would not easily want to return to the health facility for any service and would go for TM, which is normally administered by a close family member or relative rather than visiting an abusive health worker. It is curios that the current study showed the opposite of this. However, there are challenges involved in the use of TM for both the individual users and the entire health system at large. Such challenges include lack of mechanism for measuring accurate doses when using herbs; limited scientific research to establish the effectiveness and efficacy; the risk of developing drug-resistant restrains germs, and limited disease notification rate at both regional and national levels. In recognition of the importance of TM, Uganda recently passed a bill intended to provide a regulatory framework for traditional herbalists and integrate TM in the healthcare system35.\nThere is minimal scientific research on most of the traditional medicines that are commonly being used so as to establish whether such medicines or herbs contain the curative ingredients necessary for the treatment of the diseases they are meant to cure12, 13, 36. Despite the benefits of using traditional medicines in providing an alternative form of health care medication, the high prevalence of TM use poses challenges to the health care system at both national and regional levels. Most of the illnesses are not properly diagnosed, which could result into wrong treatment and TM could have devastating effects or delay of modern treatment, which then could increase morbidity and become fatal." ]
[ null, null, null, null, null, null, null, null ]
[ "Introduction", "Objectives", "Methods", "Study site", "Data collection", "Data analysis", "Ethical consideration", "Results", "Discussion", "Strengths and weaknesses", "Interpretation and comparing result", "Health system and use of traditional medicine", "Conclusions" ]
[ "African Traditional Medicine (TM) is a holistic discipline that integrates indigenous use of herbs and spiritualism. It is based on indigenous experiences and knowledge, whether explicable or not, and used for general health purposes as well as for diagnosis, prevention or treatment of physical and mental illness1, and is widely used in sub-Saharan Africa including Uganda2. Diagnosis of illness is done using spiritual means, while treatment, consists of herbs. These herbs are not only believed to provide cure but have symbolic and spiritual significance. This differs from western medicine, which is, largely, scientific.\nPreviously, there has been a misbelief that the conception of disease in sub-Saharan Africa was embedded in “witchcraft”. None the less, the aetiology of illness in Africa is traditionally viewed from both supernatural and natural perspectives. TM practice has a wide scope covering treatment with herbal medicine3, bone setting, birth delivery and child health and mental health care among others. Some of the challenges with TM include is delay of treatment, patients not receiving the best available management, discontinuation of efficacious or interaction between traditional herbs and modern medicine4, 5. While there is potential danger in some traditional methods, TM healers serve an important role in health promotion, disease prevention and treatment6. In order to minimise distrust between modern and traditional health providers and to obtain cooperation and regulation, both traditional and modern health providers must acknowledge their areas of strengths and weaknesses 7,8.\nEven though some traditional healers are being integrated into the national health system in Uganda to some extent, traditional medicine has not been fully incorporated, yet 60-80% of Ugandans visit traditional healers as their first line health care9, 10. It is also known that successful community-based intervention are based on mutual understanding between healthcare workers and community members11.\nIn a way, the use of traditional medicine has been researched to some extent, in order to establish the efficacy and efficiency of TM 12–14. None the less, most of the traditional medicines being used in Uganda have neither been studied nor regulated.\nSome factors have been reported to be the reason for the widespread use of TM in sub-Saharan Africa. Accessibility of traditional health providers is, by and large, higher than modern western heath care providers. For example, the ratio of traditional health providers to the population is 1: 500 while that of for modern medical doctors is 1:40 000. We also know that most modern medical doctors are based in urban areas leaving people in rural communities with no choice but to consult traditional health providers in case of illness8. A recent review of factors affecting use of TM included low socioeconomic and educational status; while there were inconsistencies in gender, age and religious beliefs15.\nIt has been reported that older age and female gender is associated with increased use of TM 16, but there are conflicting data on how other factors such as educational level, religion and spiritual beliefs, marital status affect use of TM 17. However, the users of TM choose health practices that resonate with their beliefs about health18. It has, also, been reported that TM is more easily accessible mainly because of a multiplicity of users, the herbs normally grow in gardens or bushes close to the homes and hence their use is free of charge without any significant economic limitations 19.\nDistance to the health facility has been found be related to the use of modern health facilities as well as modern medicine1, 20; In addition, health system factors, such as policies that control the use of TM, have a great influence on the use of TM. The attitude of health workers towards patients, and waiting time at health facilities before accessing health services, can attract patients or discourage them from using health services in modern health facilities 9. This might force them to use available alternatives such as TM 21.\nWhile the use of TM in sub-Saharan Africa seems widespread, only a few studies have been made regarding factors related with TM use15. This is the main justification for further research to elucidate opportunities and challenges associated with use of TM", "This study sought to determine the prevalence of traditional medicine use; and determine socio-economic as well as health system factors associated with use of traditional medicine in Katikekile Subcounty, Moroto district, Uganda.", "This was a descriptive cross-sectional study using quantitative and qualitative methods of data collection. It is a sequential explanatory design, where the data was collected in two consecutive phases. In the initial phase the researcher collected and analysed quantitative data. This was followed up by a second phase collecting qualitative data using a questionnaire based on the results from the first phase.\nMultiple (simple random and probability proportionate to size) sampling methods were used since the population of interest comprised more subgroups. The number of participants from each subgroup was determined by their number relative to the entire population.\n Study site The study took place in Katikekile Subcounty, Moroto district, Karamoja Region, Uganda. The population of the study area was approximately 1693 (Uganda national census 2002), and consist of Karimojongs, who traditionally run an agro-pastural or seminomadic lifestyle. The semiarid dry tree savanna district is largely rural with about 80% of the population living in rural areas and 20% of the people living in urban areas.\nThe subcounty was divided into four zones; east, west, north and south, corresponding to the administrative areas of the local councils (LC1). To obtain a non-biased number of subjects from each selected zone, a probability proportional to size method (the Kish Leslie formula of sample size determination22 was applied to estimate the number of respondents to interview from each zone based on the estimated population. The houses from each zone was numbered and randomly selected by balloting the house numbers. Then one adult from each household who was willing to participate and qualified per inclusion criteria in the study was interviewed. In all 323 respondents participated in the study.\nThe study was conducted during the month of June 2013. The population included all adults both adult men and women above 18 years of age. Participation in the study was voluntary and unpaid. Participants who had communication hindrances such as the deaf and mute were excluded from the study.\nThe study took place in Katikekile Subcounty, Moroto district, Karamoja Region, Uganda. The population of the study area was approximately 1693 (Uganda national census 2002), and consist of Karimojongs, who traditionally run an agro-pastural or seminomadic lifestyle. The semiarid dry tree savanna district is largely rural with about 80% of the population living in rural areas and 20% of the people living in urban areas.\nThe subcounty was divided into four zones; east, west, north and south, corresponding to the administrative areas of the local councils (LC1). To obtain a non-biased number of subjects from each selected zone, a probability proportional to size method (the Kish Leslie formula of sample size determination22 was applied to estimate the number of respondents to interview from each zone based on the estimated population. The houses from each zone was numbered and randomly selected by balloting the house numbers. Then one adult from each household who was willing to participate and qualified per inclusion criteria in the study was interviewed. In all 323 respondents participated in the study.\nThe study was conducted during the month of June 2013. The population included all adults both adult men and women above 18 years of age. Participation in the study was voluntary and unpaid. Participants who had communication hindrances such as the deaf and mute were excluded from the study.\n Data collection The researcher used researcher-administered questionnaires for collecting data. One questionnaire for collecting quantitative with closed ended questions and another questionnaire for collecting qualitative data including both open and close-ended questions. Use of TM was predominantly stated to be use of herbal medicine.\nA pre-test of the questionnaires was done in another subcounty other than Katikekile to check and ensure its suitability, reliability and validity. Questions that were identified as not clear or irrelevant to the study were edited or omitted.\nIn addition to collecting quantitative data using the first questionnaire, focus group discussions were carried out to obtain qualitative data. Focus groups were formed by identifying both traditional and official healthcare providers in the study site. The focus groups thus included village traditional birth attendants, health officials at village level, known village health team (VHT) and traditional health providers/herbalists. Traditional birth attendants were purely women whereas the other groups were both male and female. Nine focus group discussions were carried out with 10 traditional birth attendants, 10 Health officials/VHT and 10 Traditional health providers/herbalists in the 3 villages. Each focus group discussion lasted for two and half hours. The focus group discussions were facilitated by the researcher herself, a local public health nurse with knowledge of the local area and population. As she was Karimojong, the discussions were carried out in the local language. The discussions were written down with arguments and quotes by the researcher and an assistant in English during the and after the focus group discussions.\nDuring the focus group discussions, they were told to list all the common diseases and how they treat them in their community. The items gathered from free listing which were written in the separate cards, were sorted out by the group members to put in the piles according to the types of diseases and its treatment and on the other pile how easily they can access treatment and another the cost of treatment.\nThe researcher used researcher-administered questionnaires for collecting data. One questionnaire for collecting quantitative with closed ended questions and another questionnaire for collecting qualitative data including both open and close-ended questions. Use of TM was predominantly stated to be use of herbal medicine.\nA pre-test of the questionnaires was done in another subcounty other than Katikekile to check and ensure its suitability, reliability and validity. Questions that were identified as not clear or irrelevant to the study were edited or omitted.\nIn addition to collecting quantitative data using the first questionnaire, focus group discussions were carried out to obtain qualitative data. Focus groups were formed by identifying both traditional and official healthcare providers in the study site. The focus groups thus included village traditional birth attendants, health officials at village level, known village health team (VHT) and traditional health providers/herbalists. Traditional birth attendants were purely women whereas the other groups were both male and female. Nine focus group discussions were carried out with 10 traditional birth attendants, 10 Health officials/VHT and 10 Traditional health providers/herbalists in the 3 villages. Each focus group discussion lasted for two and half hours. The focus group discussions were facilitated by the researcher herself, a local public health nurse with knowledge of the local area and population. As she was Karimojong, the discussions were carried out in the local language. The discussions were written down with arguments and quotes by the researcher and an assistant in English during the and after the focus group discussions.\nDuring the focus group discussions, they were told to list all the common diseases and how they treat them in their community. The items gathered from free listing which were written in the separate cards, were sorted out by the group members to put in the piles according to the types of diseases and its treatment and on the other pile how easily they can access treatment and another the cost of treatment.\n Data analysis To study the possible factors affecting use of TM the study participants were categorised by demographics into gender, age, level of education, religion and marital status. Socio-economic and health system factors such as accessibility of TM, cultural norms, distance to health centre, affordability of health care services, attitude of healthcare workers and monthly income were recorded as well. This to identify possible associations between these and use of traditional medicine. Only complete datasets were used in the analyses. Both crude and adjusted analysis were carried out using both univariable and multivariable logistic regression models to estimate the association (odds ratios) between the use of TM as outcome and the exploratory factors. The data is presented with 95% confidence intervals and thus a p-value of <0.05 was considered statistically significant. Computer software-Stata 16 was used. The qualitative data from the focus group discussion were analysed, where possible causal relationship between findings of the quantitative data were described. Arguments and opinions were then grouped into categories trying to give a picture of both the main trends among the focus group members and statements for either side from the main trend.\nTo study the possible factors affecting use of TM the study participants were categorised by demographics into gender, age, level of education, religion and marital status. Socio-economic and health system factors such as accessibility of TM, cultural norms, distance to health centre, affordability of health care services, attitude of healthcare workers and monthly income were recorded as well. This to identify possible associations between these and use of traditional medicine. Only complete datasets were used in the analyses. Both crude and adjusted analysis were carried out using both univariable and multivariable logistic regression models to estimate the association (odds ratios) between the use of TM as outcome and the exploratory factors. The data is presented with 95% confidence intervals and thus a p-value of <0.05 was considered statistically significant. Computer software-Stata 16 was used. The qualitative data from the focus group discussion were analysed, where possible causal relationship between findings of the quantitative data were described. Arguments and opinions were then grouped into categories trying to give a picture of both the main trends among the focus group members and statements for either side from the main trend.\n Ethical consideration Most participants were illiterate so verbal information about the study was given prior to collecting data for both the quantitative part and prior to the focus group interviews. A consent form signed either by writing or thump print. The study followed the guidelines provided by International Health Sciences University23 by seeking legal acceptance from the university in form of a letter of authorization from both the university and Katikekile Subcounty.\nMost participants were illiterate so verbal information about the study was given prior to collecting data for both the quantitative part and prior to the focus group interviews. A consent form signed either by writing or thump print. The study followed the guidelines provided by International Health Sciences University23 by seeking legal acceptance from the university in form of a letter of authorization from both the university and Katikekile Subcounty.", "The study took place in Katikekile Subcounty, Moroto district, Karamoja Region, Uganda. The population of the study area was approximately 1693 (Uganda national census 2002), and consist of Karimojongs, who traditionally run an agro-pastural or seminomadic lifestyle. The semiarid dry tree savanna district is largely rural with about 80% of the population living in rural areas and 20% of the people living in urban areas.\nThe subcounty was divided into four zones; east, west, north and south, corresponding to the administrative areas of the local councils (LC1). To obtain a non-biased number of subjects from each selected zone, a probability proportional to size method (the Kish Leslie formula of sample size determination22 was applied to estimate the number of respondents to interview from each zone based on the estimated population. The houses from each zone was numbered and randomly selected by balloting the house numbers. Then one adult from each household who was willing to participate and qualified per inclusion criteria in the study was interviewed. In all 323 respondents participated in the study.\nThe study was conducted during the month of June 2013. The population included all adults both adult men and women above 18 years of age. Participation in the study was voluntary and unpaid. Participants who had communication hindrances such as the deaf and mute were excluded from the study.", "The researcher used researcher-administered questionnaires for collecting data. One questionnaire for collecting quantitative with closed ended questions and another questionnaire for collecting qualitative data including both open and close-ended questions. Use of TM was predominantly stated to be use of herbal medicine.\nA pre-test of the questionnaires was done in another subcounty other than Katikekile to check and ensure its suitability, reliability and validity. Questions that were identified as not clear or irrelevant to the study were edited or omitted.\nIn addition to collecting quantitative data using the first questionnaire, focus group discussions were carried out to obtain qualitative data. Focus groups were formed by identifying both traditional and official healthcare providers in the study site. The focus groups thus included village traditional birth attendants, health officials at village level, known village health team (VHT) and traditional health providers/herbalists. Traditional birth attendants were purely women whereas the other groups were both male and female. Nine focus group discussions were carried out with 10 traditional birth attendants, 10 Health officials/VHT and 10 Traditional health providers/herbalists in the 3 villages. Each focus group discussion lasted for two and half hours. The focus group discussions were facilitated by the researcher herself, a local public health nurse with knowledge of the local area and population. As she was Karimojong, the discussions were carried out in the local language. The discussions were written down with arguments and quotes by the researcher and an assistant in English during the and after the focus group discussions.\nDuring the focus group discussions, they were told to list all the common diseases and how they treat them in their community. The items gathered from free listing which were written in the separate cards, were sorted out by the group members to put in the piles according to the types of diseases and its treatment and on the other pile how easily they can access treatment and another the cost of treatment.", "To study the possible factors affecting use of TM the study participants were categorised by demographics into gender, age, level of education, religion and marital status. Socio-economic and health system factors such as accessibility of TM, cultural norms, distance to health centre, affordability of health care services, attitude of healthcare workers and monthly income were recorded as well. This to identify possible associations between these and use of traditional medicine. Only complete datasets were used in the analyses. Both crude and adjusted analysis were carried out using both univariable and multivariable logistic regression models to estimate the association (odds ratios) between the use of TM as outcome and the exploratory factors. The data is presented with 95% confidence intervals and thus a p-value of <0.05 was considered statistically significant. Computer software-Stata 16 was used. The qualitative data from the focus group discussion were analysed, where possible causal relationship between findings of the quantitative data were described. Arguments and opinions were then grouped into categories trying to give a picture of both the main trends among the focus group members and statements for either side from the main trend.", "Most participants were illiterate so verbal information about the study was given prior to collecting data for both the quantitative part and prior to the focus group interviews. A consent form signed either by writing or thump print. The study followed the guidelines provided by International Health Sciences University23 by seeking legal acceptance from the university in form of a letter of authorization from both the university and Katikekile Subcounty.", "The study included 323 respondents. Data regarding socio-demographic of the respondents, health system factors and associations between these and usage of TM are presented in table 1. The use of TM was 221 of 323 (68.4%), and usage was more prevalent among older people, married people and people who believed there is no cultural influence for using TM. Long distance to the nearest health center or its services was also associated with higher use of TM. Of the respondents who used TM 31% reported they always used TM, 58% often and 11% rarely.\nDemographics, socio-economic indicators and health system factors associated with use of traditional medicine (TM) among people in Katikekile sub county, crude and adjusted Odds Ratios (OR)\nStatistically significant p<0.05\nstatistically significant p<0.001\nRef: reference\nAdjusted OR: adjustment includes all available variables in the analysis (data for monthly income from different dataset) 95% CI: 95% confidence intervals\nHigh level of education was positively associated with increased use of TM, where 74% of people with a secondary school degree or higher used TM, versus 63% among respondents with a primary school degree or lower (adjusted p=1.78, CI 95% 1.01–3.12). And similarly, a high level of income was positively associated with increased use of TM, where 73% of people with a monthly income of 50,000 Uganda Shilling or more used TM, versus 59% among respondents with a monthly income of 50,000 Uganda Shilling or less (p=1.90, CI 95% 1.17–3.10).\nA positive attitude of the health workers were found to be associated with an increased use of traditional medicine, however the study found that there was a predominantly negative attitude towards the patients at the health center and only 40/323 (12.4%) respondents find a positive attitude towards them when seeking assistance in the health facility.\nThe quantitative data and the positive associations were included in the focus groups to determine causality of the findings. The group discussion revealed causality of the analyses, and furthermore some interesting points were stated from the respondents listed below.\nAttitude towards using TM was explained during the focus group discussions, where an elderly man (in favor of the TM) stated: The only unfortunate thing is that, some herbalists/healers are not ready to share the knowledge on the use of TM with the young people and as a result such indigenous knowledge on medicinal herbs that ought to be passed on from one generation to the next might soon be lost. However, one of the women (who apparently were against the use of TM) said: “one of the greatest challenges with the use of traditional medicine is that there is no mechanism that has been devised to measure the accurate dosage to be dispensed especially from the herbs used. As a result of using such herbs especially with the consultation of a traditional healer/herbalist, patients tend to delay to seek health-facility based medical care which encourages the advancement of the disease and since in most cases the patients have already used herbs, the risk of developing drug-resistant strains of infections is high”. Most herbs used for traditional medicines are within the homesteads, gardens or near-by bushes and are free-ofcharge, and thus quite accessible for the people to use. Easy access to TM seems to increase use of TM, which was consistent with the findings in the focus group discussions, where discussants agreed that, “availability of most of the basic traditional medicines within the homesteads increases accessibility to such herbs and since there is no cost involved; most residents easily opt for traditional medicine rather than modern drugs”.\nOne traditional healer stated: “although herbs are known to treat different illnesses, even I, myself, am not sure of the active components in most of these herbs and the mechanism by which these herbs work. Often herbs are given to the patient on a trial and error basis. The patients always hope that the traditional medicine works before they patient return to change to another type of herb”.\nAccording to a Village Health Volunteer, “there are many factors which prevent residents from utilizing modern health care services..... but the most intent factor is affordability of the services and medicines at health facilities”. He adds, “...most of the residents find such medicines very expensive because of the high levels of poverty in addition to ignorance and limited knowledge on prevention of disease. Most of the herbs relieve pain yet not curing the actual illness. So, patients using TM are in most cases made to believe that they are fine and that the medicine is working. Especially when it relieves them of fevers and pain. Also, long waiting time and distances moved to the health facility, force patients to resort to TM which is readily available in the community”.\nExamples of traditional medicines commonly used by the participants are shown in figure 1.\nExamples of plants for traditional medicines used by respondents (in Latin names)", "This study found that the prevalence of use of (TM) among the adults of Katikekile Subcounty was 68%, and that most of the adults used traditional medicine often as their first line-treatment for any illness. Socioeconomic factors like older age, higher educational level of education, high monthly income and being married were associated with higher use of TM. Also, health system factors like easy availability of TM and long distance to health facility were associated with high use of TM.\n Strengths and weaknesses The results from this study should be interpreted with some caution taking potential weaknesses of the study into consideration. Participating in the study was voluntary which may have influenced who would participate rate and representativeness of the study population. As the researcher represents the health care system one might believe that some respondents would be more hesitant to tell whether they used TM. The result represents the usage of TM in one particular community, and the results are not necessarily likely to be generalizable to other parts of Uganda or rural areas.\nStrengths of the study were that the researcher was from that culture herself, and understood the people, the language and culture. By using a sequential explanatory design, where the data was collected in two consecutive phases, firstly collecting and analysing quantitative data and secondly using results from the first phase to conduct focus group obtaining qualitative data add to the credibility of the results.\nThe results from this study should be interpreted with some caution taking potential weaknesses of the study into consideration. Participating in the study was voluntary which may have influenced who would participate rate and representativeness of the study population. As the researcher represents the health care system one might believe that some respondents would be more hesitant to tell whether they used TM. The result represents the usage of TM in one particular community, and the results are not necessarily likely to be generalizable to other parts of Uganda or rural areas.\nStrengths of the study were that the researcher was from that culture herself, and understood the people, the language and culture. By using a sequential explanatory design, where the data was collected in two consecutive phases, firstly collecting and analysing quantitative data and secondly using results from the first phase to conduct focus group obtaining qualitative data add to the credibility of the results.\n Interpretation and comparing result Our findings are in line with previously studies, where use of TM has been stated to be between 60–80% among Ugandans and often as their first line of treatment9, 10. Similarly, other studies document relatively high use of TM alone or in conjunction with modern medicine in Sub-Saharan countries, where approximately two thirds of users of fail to disclose this use to their healthcare providers15.\nSocio-economic factors and use of traditional medicine Usage was more prevalent among older people. The age of TM users has previous been reported to younger (20–50 years) of age in urban or semiurban settings24,25 but in rural settings older people (>50 years) are more likely to use TM26, 27. That older people have higher use of TM could be related to both cultural issues, but also, that older people are more prone to suffer from medical conditions and hence require increased health care. In Katikekile, due to cultural influence and existence of cultural norms, which encourage the use of traditional medicine the youth are taught on how to use TM at an early age by their elders.\nMarried people and people who believed there is not a cultural influence for using TM were more likely to use this. Generally, TM users compared with non-TM users in Sub-Saharan Africa were more often reported to be married than not married28–30. Young people who are still single are most likely to be staying with their elderly parents, guardians or relatives and might be influenced by the practices of these significant others. Similarly, the use of TM among married people could be influenced by the backgrounds of the couple. Therefore, the influence of marital status on the use of traditional medicine lies in the background and influence of the spouse on the use of TM or conventional medicine so usage of TM among married people does not come as a surprise. Surprisingly we found that higher educational level of education was associated with higher use of TM. This contradicts observations from previous studies, where TM users are reported to have little or no formal education24-27, 31, though a similar observation has been reported as ours32. People with high level of education and high level of income might have more knowledge and possibility to care for themselves and thus invest in health more than people with less education and lower income. This includes use of TM. Using TM in our study might thus reflect an increased focus and concern of health-related issues among people with higher education rather than preference of type of health care (tradition versus modern). This is also like to be the case regarding that a high monthly income was associated with higher use of TM.\nAlso, health system factors like easy availability of TM and long distance to health facility were associated with high use of TM.\nThe influence of religion on the use of traditional medicine does not exactly prove to deter the use of different herbs since it does not clearly speak against it. In some societies where traditional medicine has been highly associated with witchcraft, Christianity and Islam tend to discourage the use of traditional medicine especially in cases where users go to shrines of traditional practitioners33. On the other hand, believers in traditional religions believe that conventional medicine is not in line with their faith and it is their gods who can guide the TM men to herbal medicine to treat specific diseases33.\nOur findings are in line with previously studies, where use of TM has been stated to be between 60–80% among Ugandans and often as their first line of treatment9, 10. Similarly, other studies document relatively high use of TM alone or in conjunction with modern medicine in Sub-Saharan countries, where approximately two thirds of users of fail to disclose this use to their healthcare providers15.\nSocio-economic factors and use of traditional medicine Usage was more prevalent among older people. The age of TM users has previous been reported to younger (20–50 years) of age in urban or semiurban settings24,25 but in rural settings older people (>50 years) are more likely to use TM26, 27. That older people have higher use of TM could be related to both cultural issues, but also, that older people are more prone to suffer from medical conditions and hence require increased health care. In Katikekile, due to cultural influence and existence of cultural norms, which encourage the use of traditional medicine the youth are taught on how to use TM at an early age by their elders.\nMarried people and people who believed there is not a cultural influence for using TM were more likely to use this. Generally, TM users compared with non-TM users in Sub-Saharan Africa were more often reported to be married than not married28–30. Young people who are still single are most likely to be staying with their elderly parents, guardians or relatives and might be influenced by the practices of these significant others. Similarly, the use of TM among married people could be influenced by the backgrounds of the couple. Therefore, the influence of marital status on the use of traditional medicine lies in the background and influence of the spouse on the use of TM or conventional medicine so usage of TM among married people does not come as a surprise. Surprisingly we found that higher educational level of education was associated with higher use of TM. This contradicts observations from previous studies, where TM users are reported to have little or no formal education24-27, 31, though a similar observation has been reported as ours32. People with high level of education and high level of income might have more knowledge and possibility to care for themselves and thus invest in health more than people with less education and lower income. This includes use of TM. Using TM in our study might thus reflect an increased focus and concern of health-related issues among people with higher education rather than preference of type of health care (tradition versus modern). This is also like to be the case regarding that a high monthly income was associated with higher use of TM.\nAlso, health system factors like easy availability of TM and long distance to health facility were associated with high use of TM.\nThe influence of religion on the use of traditional medicine does not exactly prove to deter the use of different herbs since it does not clearly speak against it. In some societies where traditional medicine has been highly associated with witchcraft, Christianity and Islam tend to discourage the use of traditional medicine especially in cases where users go to shrines of traditional practitioners33. On the other hand, believers in traditional religions believe that conventional medicine is not in line with their faith and it is their gods who can guide the TM men to herbal medicine to treat specific diseases33.\n Health system and use of traditional medicine Easy availability of TM was associated with high use of TM. This finding was backed up during the focus groups interviews, where it was stated, that most herbs used for traditional medicines were within the homesteads, gardens or near-by bushes and were free-of-charge, and hence quite accessible. This was unlike health-facility based health care services, which are normally distant from the homesteads and attract transport fare as well as medical fees.\nLong distance to health facility were associated with high use of TM. The distance and the time it takes to travel and the costs such as transport fare and medical fees often deter patients from going to the facilities to access modern medicines1, 20. This influences most patients to use traditional medicine as their first-line treatment for any illness and only go to the health facility when the illness has advanced or when more complications have developed. Limited access to health care services at the health facility where most patients are delayed due to congestion especially in public health centre often results into long waiting time. Yet patients and the people who escort them to the health facility usually have a lot of domestic and commercial work which they have to accomplish back home.\nWhile the negative attitude of health workers might discourage patients from coming to health facilities for conventional medicine in preference for TM, there is increasing focus on intercultural medicine to overcome barriers among indigenous people34. Hence, patients who have had bad experiences where they have been abused or assaulted by health workers would not easily want to return to the health facility for any service and would go for TM, which is normally administered by a close family member or relative rather than visiting an abusive health worker. It is curios that the current study showed the opposite of this. However, there are challenges involved in the use of TM for both the individual users and the entire health system at large. Such challenges include lack of mechanism for measuring accurate doses when using herbs; limited scientific research to establish the effectiveness and efficacy; the risk of developing drug-resistant restrains germs, and limited disease notification rate at both regional and national levels. In recognition of the importance of TM, Uganda recently passed a bill intended to provide a regulatory framework for traditional herbalists and integrate TM in the healthcare system35.\nThere is minimal scientific research on most of the traditional medicines that are commonly being used so as to establish whether such medicines or herbs contain the curative ingredients necessary for the treatment of the diseases they are meant to cure12, 13, 36. Despite the benefits of using traditional medicines in providing an alternative form of health care medication, the high prevalence of TM use poses challenges to the health care system at both national and regional levels. Most of the illnesses are not properly diagnosed, which could result into wrong treatment and TM could have devastating effects or delay of modern treatment, which then could increase morbidity and become fatal.\nEasy availability of TM was associated with high use of TM. This finding was backed up during the focus groups interviews, where it was stated, that most herbs used for traditional medicines were within the homesteads, gardens or near-by bushes and were free-of-charge, and hence quite accessible. This was unlike health-facility based health care services, which are normally distant from the homesteads and attract transport fare as well as medical fees.\nLong distance to health facility were associated with high use of TM. The distance and the time it takes to travel and the costs such as transport fare and medical fees often deter patients from going to the facilities to access modern medicines1, 20. This influences most patients to use traditional medicine as their first-line treatment for any illness and only go to the health facility when the illness has advanced or when more complications have developed. Limited access to health care services at the health facility where most patients are delayed due to congestion especially in public health centre often results into long waiting time. Yet patients and the people who escort them to the health facility usually have a lot of domestic and commercial work which they have to accomplish back home.\nWhile the negative attitude of health workers might discourage patients from coming to health facilities for conventional medicine in preference for TM, there is increasing focus on intercultural medicine to overcome barriers among indigenous people34. Hence, patients who have had bad experiences where they have been abused or assaulted by health workers would not easily want to return to the health facility for any service and would go for TM, which is normally administered by a close family member or relative rather than visiting an abusive health worker. It is curios that the current study showed the opposite of this. However, there are challenges involved in the use of TM for both the individual users and the entire health system at large. Such challenges include lack of mechanism for measuring accurate doses when using herbs; limited scientific research to establish the effectiveness and efficacy; the risk of developing drug-resistant restrains germs, and limited disease notification rate at both regional and national levels. In recognition of the importance of TM, Uganda recently passed a bill intended to provide a regulatory framework for traditional herbalists and integrate TM in the healthcare system35.\nThere is minimal scientific research on most of the traditional medicines that are commonly being used so as to establish whether such medicines or herbs contain the curative ingredients necessary for the treatment of the diseases they are meant to cure12, 13, 36. Despite the benefits of using traditional medicines in providing an alternative form of health care medication, the high prevalence of TM use poses challenges to the health care system at both national and regional levels. Most of the illnesses are not properly diagnosed, which could result into wrong treatment and TM could have devastating effects or delay of modern treatment, which then could increase morbidity and become fatal.", "The results from this study should be interpreted with some caution taking potential weaknesses of the study into consideration. Participating in the study was voluntary which may have influenced who would participate rate and representativeness of the study population. As the researcher represents the health care system one might believe that some respondents would be more hesitant to tell whether they used TM. The result represents the usage of TM in one particular community, and the results are not necessarily likely to be generalizable to other parts of Uganda or rural areas.\nStrengths of the study were that the researcher was from that culture herself, and understood the people, the language and culture. By using a sequential explanatory design, where the data was collected in two consecutive phases, firstly collecting and analysing quantitative data and secondly using results from the first phase to conduct focus group obtaining qualitative data add to the credibility of the results.", "Our findings are in line with previously studies, where use of TM has been stated to be between 60–80% among Ugandans and often as their first line of treatment9, 10. Similarly, other studies document relatively high use of TM alone or in conjunction with modern medicine in Sub-Saharan countries, where approximately two thirds of users of fail to disclose this use to their healthcare providers15.\nSocio-economic factors and use of traditional medicine Usage was more prevalent among older people. The age of TM users has previous been reported to younger (20–50 years) of age in urban or semiurban settings24,25 but in rural settings older people (>50 years) are more likely to use TM26, 27. That older people have higher use of TM could be related to both cultural issues, but also, that older people are more prone to suffer from medical conditions and hence require increased health care. In Katikekile, due to cultural influence and existence of cultural norms, which encourage the use of traditional medicine the youth are taught on how to use TM at an early age by their elders.\nMarried people and people who believed there is not a cultural influence for using TM were more likely to use this. Generally, TM users compared with non-TM users in Sub-Saharan Africa were more often reported to be married than not married28–30. Young people who are still single are most likely to be staying with their elderly parents, guardians or relatives and might be influenced by the practices of these significant others. Similarly, the use of TM among married people could be influenced by the backgrounds of the couple. Therefore, the influence of marital status on the use of traditional medicine lies in the background and influence of the spouse on the use of TM or conventional medicine so usage of TM among married people does not come as a surprise. Surprisingly we found that higher educational level of education was associated with higher use of TM. This contradicts observations from previous studies, where TM users are reported to have little or no formal education24-27, 31, though a similar observation has been reported as ours32. People with high level of education and high level of income might have more knowledge and possibility to care for themselves and thus invest in health more than people with less education and lower income. This includes use of TM. Using TM in our study might thus reflect an increased focus and concern of health-related issues among people with higher education rather than preference of type of health care (tradition versus modern). This is also like to be the case regarding that a high monthly income was associated with higher use of TM.\nAlso, health system factors like easy availability of TM and long distance to health facility were associated with high use of TM.\nThe influence of religion on the use of traditional medicine does not exactly prove to deter the use of different herbs since it does not clearly speak against it. In some societies where traditional medicine has been highly associated with witchcraft, Christianity and Islam tend to discourage the use of traditional medicine especially in cases where users go to shrines of traditional practitioners33. On the other hand, believers in traditional religions believe that conventional medicine is not in line with their faith and it is their gods who can guide the TM men to herbal medicine to treat specific diseases33.", "Easy availability of TM was associated with high use of TM. This finding was backed up during the focus groups interviews, where it was stated, that most herbs used for traditional medicines were within the homesteads, gardens or near-by bushes and were free-of-charge, and hence quite accessible. This was unlike health-facility based health care services, which are normally distant from the homesteads and attract transport fare as well as medical fees.\nLong distance to health facility were associated with high use of TM. The distance and the time it takes to travel and the costs such as transport fare and medical fees often deter patients from going to the facilities to access modern medicines1, 20. This influences most patients to use traditional medicine as their first-line treatment for any illness and only go to the health facility when the illness has advanced or when more complications have developed. Limited access to health care services at the health facility where most patients are delayed due to congestion especially in public health centre often results into long waiting time. Yet patients and the people who escort them to the health facility usually have a lot of domestic and commercial work which they have to accomplish back home.\nWhile the negative attitude of health workers might discourage patients from coming to health facilities for conventional medicine in preference for TM, there is increasing focus on intercultural medicine to overcome barriers among indigenous people34. Hence, patients who have had bad experiences where they have been abused or assaulted by health workers would not easily want to return to the health facility for any service and would go for TM, which is normally administered by a close family member or relative rather than visiting an abusive health worker. It is curios that the current study showed the opposite of this. However, there are challenges involved in the use of TM for both the individual users and the entire health system at large. Such challenges include lack of mechanism for measuring accurate doses when using herbs; limited scientific research to establish the effectiveness and efficacy; the risk of developing drug-resistant restrains germs, and limited disease notification rate at both regional and national levels. In recognition of the importance of TM, Uganda recently passed a bill intended to provide a regulatory framework for traditional herbalists and integrate TM in the healthcare system35.\nThere is minimal scientific research on most of the traditional medicines that are commonly being used so as to establish whether such medicines or herbs contain the curative ingredients necessary for the treatment of the diseases they are meant to cure12, 13, 36. Despite the benefits of using traditional medicines in providing an alternative form of health care medication, the high prevalence of TM use poses challenges to the health care system at both national and regional levels. Most of the illnesses are not properly diagnosed, which could result into wrong treatment and TM could have devastating effects or delay of modern treatment, which then could increase morbidity and become fatal.", "The use of Traditional Medicine among adults of Katikekile Subcounty in the Karamoja region of Uganda was high but use of TM compared to modern medicine is not a matter of ‘either-or’, but rather ‘both-and’. None the less, use of TM is more prevalent among older people, married couples and those who live far from official health facilities. Most herbs used for traditional medicines are grown near-homesteads and are, by and large, free-of-charge. Hence they are quite accessible compared long distance to health facilities which a facilitator for using TM." ]
[ "intro", null, "methods", null, null, null, null, "results", "discussion", null, null, null, "conclusions" ]
[ "Intercultural medicine", "indigenous", "herbalists" ]
Introduction: African Traditional Medicine (TM) is a holistic discipline that integrates indigenous use of herbs and spiritualism. It is based on indigenous experiences and knowledge, whether explicable or not, and used for general health purposes as well as for diagnosis, prevention or treatment of physical and mental illness1, and is widely used in sub-Saharan Africa including Uganda2. Diagnosis of illness is done using spiritual means, while treatment, consists of herbs. These herbs are not only believed to provide cure but have symbolic and spiritual significance. This differs from western medicine, which is, largely, scientific. Previously, there has been a misbelief that the conception of disease in sub-Saharan Africa was embedded in “witchcraft”. None the less, the aetiology of illness in Africa is traditionally viewed from both supernatural and natural perspectives. TM practice has a wide scope covering treatment with herbal medicine3, bone setting, birth delivery and child health and mental health care among others. Some of the challenges with TM include is delay of treatment, patients not receiving the best available management, discontinuation of efficacious or interaction between traditional herbs and modern medicine4, 5. While there is potential danger in some traditional methods, TM healers serve an important role in health promotion, disease prevention and treatment6. In order to minimise distrust between modern and traditional health providers and to obtain cooperation and regulation, both traditional and modern health providers must acknowledge their areas of strengths and weaknesses 7,8. Even though some traditional healers are being integrated into the national health system in Uganda to some extent, traditional medicine has not been fully incorporated, yet 60-80% of Ugandans visit traditional healers as their first line health care9, 10. It is also known that successful community-based intervention are based on mutual understanding between healthcare workers and community members11. In a way, the use of traditional medicine has been researched to some extent, in order to establish the efficacy and efficiency of TM 12–14. None the less, most of the traditional medicines being used in Uganda have neither been studied nor regulated. Some factors have been reported to be the reason for the widespread use of TM in sub-Saharan Africa. Accessibility of traditional health providers is, by and large, higher than modern western heath care providers. For example, the ratio of traditional health providers to the population is 1: 500 while that of for modern medical doctors is 1:40 000. We also know that most modern medical doctors are based in urban areas leaving people in rural communities with no choice but to consult traditional health providers in case of illness8. A recent review of factors affecting use of TM included low socioeconomic and educational status; while there were inconsistencies in gender, age and religious beliefs15. It has been reported that older age and female gender is associated with increased use of TM 16, but there are conflicting data on how other factors such as educational level, religion and spiritual beliefs, marital status affect use of TM 17. However, the users of TM choose health practices that resonate with their beliefs about health18. It has, also, been reported that TM is more easily accessible mainly because of a multiplicity of users, the herbs normally grow in gardens or bushes close to the homes and hence their use is free of charge without any significant economic limitations 19. Distance to the health facility has been found be related to the use of modern health facilities as well as modern medicine1, 20; In addition, health system factors, such as policies that control the use of TM, have a great influence on the use of TM. The attitude of health workers towards patients, and waiting time at health facilities before accessing health services, can attract patients or discourage them from using health services in modern health facilities 9. This might force them to use available alternatives such as TM 21. While the use of TM in sub-Saharan Africa seems widespread, only a few studies have been made regarding factors related with TM use15. This is the main justification for further research to elucidate opportunities and challenges associated with use of TM Objectives: This study sought to determine the prevalence of traditional medicine use; and determine socio-economic as well as health system factors associated with use of traditional medicine in Katikekile Subcounty, Moroto district, Uganda. Methods: This was a descriptive cross-sectional study using quantitative and qualitative methods of data collection. It is a sequential explanatory design, where the data was collected in two consecutive phases. In the initial phase the researcher collected and analysed quantitative data. This was followed up by a second phase collecting qualitative data using a questionnaire based on the results from the first phase. Multiple (simple random and probability proportionate to size) sampling methods were used since the population of interest comprised more subgroups. The number of participants from each subgroup was determined by their number relative to the entire population. Study site The study took place in Katikekile Subcounty, Moroto district, Karamoja Region, Uganda. The population of the study area was approximately 1693 (Uganda national census 2002), and consist of Karimojongs, who traditionally run an agro-pastural or seminomadic lifestyle. The semiarid dry tree savanna district is largely rural with about 80% of the population living in rural areas and 20% of the people living in urban areas. The subcounty was divided into four zones; east, west, north and south, corresponding to the administrative areas of the local councils (LC1). To obtain a non-biased number of subjects from each selected zone, a probability proportional to size method (the Kish Leslie formula of sample size determination22 was applied to estimate the number of respondents to interview from each zone based on the estimated population. The houses from each zone was numbered and randomly selected by balloting the house numbers. Then one adult from each household who was willing to participate and qualified per inclusion criteria in the study was interviewed. In all 323 respondents participated in the study. The study was conducted during the month of June 2013. The population included all adults both adult men and women above 18 years of age. Participation in the study was voluntary and unpaid. Participants who had communication hindrances such as the deaf and mute were excluded from the study. The study took place in Katikekile Subcounty, Moroto district, Karamoja Region, Uganda. The population of the study area was approximately 1693 (Uganda national census 2002), and consist of Karimojongs, who traditionally run an agro-pastural or seminomadic lifestyle. The semiarid dry tree savanna district is largely rural with about 80% of the population living in rural areas and 20% of the people living in urban areas. The subcounty was divided into four zones; east, west, north and south, corresponding to the administrative areas of the local councils (LC1). To obtain a non-biased number of subjects from each selected zone, a probability proportional to size method (the Kish Leslie formula of sample size determination22 was applied to estimate the number of respondents to interview from each zone based on the estimated population. The houses from each zone was numbered and randomly selected by balloting the house numbers. Then one adult from each household who was willing to participate and qualified per inclusion criteria in the study was interviewed. In all 323 respondents participated in the study. The study was conducted during the month of June 2013. The population included all adults both adult men and women above 18 years of age. Participation in the study was voluntary and unpaid. Participants who had communication hindrances such as the deaf and mute were excluded from the study. Data collection The researcher used researcher-administered questionnaires for collecting data. One questionnaire for collecting quantitative with closed ended questions and another questionnaire for collecting qualitative data including both open and close-ended questions. Use of TM was predominantly stated to be use of herbal medicine. A pre-test of the questionnaires was done in another subcounty other than Katikekile to check and ensure its suitability, reliability and validity. Questions that were identified as not clear or irrelevant to the study were edited or omitted. In addition to collecting quantitative data using the first questionnaire, focus group discussions were carried out to obtain qualitative data. Focus groups were formed by identifying both traditional and official healthcare providers in the study site. The focus groups thus included village traditional birth attendants, health officials at village level, known village health team (VHT) and traditional health providers/herbalists. Traditional birth attendants were purely women whereas the other groups were both male and female. Nine focus group discussions were carried out with 10 traditional birth attendants, 10 Health officials/VHT and 10 Traditional health providers/herbalists in the 3 villages. Each focus group discussion lasted for two and half hours. The focus group discussions were facilitated by the researcher herself, a local public health nurse with knowledge of the local area and population. As she was Karimojong, the discussions were carried out in the local language. The discussions were written down with arguments and quotes by the researcher and an assistant in English during the and after the focus group discussions. During the focus group discussions, they were told to list all the common diseases and how they treat them in their community. The items gathered from free listing which were written in the separate cards, were sorted out by the group members to put in the piles according to the types of diseases and its treatment and on the other pile how easily they can access treatment and another the cost of treatment. The researcher used researcher-administered questionnaires for collecting data. One questionnaire for collecting quantitative with closed ended questions and another questionnaire for collecting qualitative data including both open and close-ended questions. Use of TM was predominantly stated to be use of herbal medicine. A pre-test of the questionnaires was done in another subcounty other than Katikekile to check and ensure its suitability, reliability and validity. Questions that were identified as not clear or irrelevant to the study were edited or omitted. In addition to collecting quantitative data using the first questionnaire, focus group discussions were carried out to obtain qualitative data. Focus groups were formed by identifying both traditional and official healthcare providers in the study site. The focus groups thus included village traditional birth attendants, health officials at village level, known village health team (VHT) and traditional health providers/herbalists. Traditional birth attendants were purely women whereas the other groups were both male and female. Nine focus group discussions were carried out with 10 traditional birth attendants, 10 Health officials/VHT and 10 Traditional health providers/herbalists in the 3 villages. Each focus group discussion lasted for two and half hours. The focus group discussions were facilitated by the researcher herself, a local public health nurse with knowledge of the local area and population. As she was Karimojong, the discussions were carried out in the local language. The discussions were written down with arguments and quotes by the researcher and an assistant in English during the and after the focus group discussions. During the focus group discussions, they were told to list all the common diseases and how they treat them in their community. The items gathered from free listing which were written in the separate cards, were sorted out by the group members to put in the piles according to the types of diseases and its treatment and on the other pile how easily they can access treatment and another the cost of treatment. Data analysis To study the possible factors affecting use of TM the study participants were categorised by demographics into gender, age, level of education, religion and marital status. Socio-economic and health system factors such as accessibility of TM, cultural norms, distance to health centre, affordability of health care services, attitude of healthcare workers and monthly income were recorded as well. This to identify possible associations between these and use of traditional medicine. Only complete datasets were used in the analyses. Both crude and adjusted analysis were carried out using both univariable and multivariable logistic regression models to estimate the association (odds ratios) between the use of TM as outcome and the exploratory factors. The data is presented with 95% confidence intervals and thus a p-value of <0.05 was considered statistically significant. Computer software-Stata 16 was used. The qualitative data from the focus group discussion were analysed, where possible causal relationship between findings of the quantitative data were described. Arguments and opinions were then grouped into categories trying to give a picture of both the main trends among the focus group members and statements for either side from the main trend. To study the possible factors affecting use of TM the study participants were categorised by demographics into gender, age, level of education, religion and marital status. Socio-economic and health system factors such as accessibility of TM, cultural norms, distance to health centre, affordability of health care services, attitude of healthcare workers and monthly income were recorded as well. This to identify possible associations between these and use of traditional medicine. Only complete datasets were used in the analyses. Both crude and adjusted analysis were carried out using both univariable and multivariable logistic regression models to estimate the association (odds ratios) between the use of TM as outcome and the exploratory factors. The data is presented with 95% confidence intervals and thus a p-value of <0.05 was considered statistically significant. Computer software-Stata 16 was used. The qualitative data from the focus group discussion were analysed, where possible causal relationship between findings of the quantitative data were described. Arguments and opinions were then grouped into categories trying to give a picture of both the main trends among the focus group members and statements for either side from the main trend. Ethical consideration Most participants were illiterate so verbal information about the study was given prior to collecting data for both the quantitative part and prior to the focus group interviews. A consent form signed either by writing or thump print. The study followed the guidelines provided by International Health Sciences University23 by seeking legal acceptance from the university in form of a letter of authorization from both the university and Katikekile Subcounty. Most participants were illiterate so verbal information about the study was given prior to collecting data for both the quantitative part and prior to the focus group interviews. A consent form signed either by writing or thump print. The study followed the guidelines provided by International Health Sciences University23 by seeking legal acceptance from the university in form of a letter of authorization from both the university and Katikekile Subcounty. Study site: The study took place in Katikekile Subcounty, Moroto district, Karamoja Region, Uganda. The population of the study area was approximately 1693 (Uganda national census 2002), and consist of Karimojongs, who traditionally run an agro-pastural or seminomadic lifestyle. The semiarid dry tree savanna district is largely rural with about 80% of the population living in rural areas and 20% of the people living in urban areas. The subcounty was divided into four zones; east, west, north and south, corresponding to the administrative areas of the local councils (LC1). To obtain a non-biased number of subjects from each selected zone, a probability proportional to size method (the Kish Leslie formula of sample size determination22 was applied to estimate the number of respondents to interview from each zone based on the estimated population. The houses from each zone was numbered and randomly selected by balloting the house numbers. Then one adult from each household who was willing to participate and qualified per inclusion criteria in the study was interviewed. In all 323 respondents participated in the study. The study was conducted during the month of June 2013. The population included all adults both adult men and women above 18 years of age. Participation in the study was voluntary and unpaid. Participants who had communication hindrances such as the deaf and mute were excluded from the study. Data collection: The researcher used researcher-administered questionnaires for collecting data. One questionnaire for collecting quantitative with closed ended questions and another questionnaire for collecting qualitative data including both open and close-ended questions. Use of TM was predominantly stated to be use of herbal medicine. A pre-test of the questionnaires was done in another subcounty other than Katikekile to check and ensure its suitability, reliability and validity. Questions that were identified as not clear or irrelevant to the study were edited or omitted. In addition to collecting quantitative data using the first questionnaire, focus group discussions were carried out to obtain qualitative data. Focus groups were formed by identifying both traditional and official healthcare providers in the study site. The focus groups thus included village traditional birth attendants, health officials at village level, known village health team (VHT) and traditional health providers/herbalists. Traditional birth attendants were purely women whereas the other groups were both male and female. Nine focus group discussions were carried out with 10 traditional birth attendants, 10 Health officials/VHT and 10 Traditional health providers/herbalists in the 3 villages. Each focus group discussion lasted for two and half hours. The focus group discussions were facilitated by the researcher herself, a local public health nurse with knowledge of the local area and population. As she was Karimojong, the discussions were carried out in the local language. The discussions were written down with arguments and quotes by the researcher and an assistant in English during the and after the focus group discussions. During the focus group discussions, they were told to list all the common diseases and how they treat them in their community. The items gathered from free listing which were written in the separate cards, were sorted out by the group members to put in the piles according to the types of diseases and its treatment and on the other pile how easily they can access treatment and another the cost of treatment. Data analysis: To study the possible factors affecting use of TM the study participants were categorised by demographics into gender, age, level of education, religion and marital status. Socio-economic and health system factors such as accessibility of TM, cultural norms, distance to health centre, affordability of health care services, attitude of healthcare workers and monthly income were recorded as well. This to identify possible associations between these and use of traditional medicine. Only complete datasets were used in the analyses. Both crude and adjusted analysis were carried out using both univariable and multivariable logistic regression models to estimate the association (odds ratios) between the use of TM as outcome and the exploratory factors. The data is presented with 95% confidence intervals and thus a p-value of <0.05 was considered statistically significant. Computer software-Stata 16 was used. The qualitative data from the focus group discussion were analysed, where possible causal relationship between findings of the quantitative data were described. Arguments and opinions were then grouped into categories trying to give a picture of both the main trends among the focus group members and statements for either side from the main trend. Ethical consideration: Most participants were illiterate so verbal information about the study was given prior to collecting data for both the quantitative part and prior to the focus group interviews. A consent form signed either by writing or thump print. The study followed the guidelines provided by International Health Sciences University23 by seeking legal acceptance from the university in form of a letter of authorization from both the university and Katikekile Subcounty. Results: The study included 323 respondents. Data regarding socio-demographic of the respondents, health system factors and associations between these and usage of TM are presented in table 1. The use of TM was 221 of 323 (68.4%), and usage was more prevalent among older people, married people and people who believed there is no cultural influence for using TM. Long distance to the nearest health center or its services was also associated with higher use of TM. Of the respondents who used TM 31% reported they always used TM, 58% often and 11% rarely. Demographics, socio-economic indicators and health system factors associated with use of traditional medicine (TM) among people in Katikekile sub county, crude and adjusted Odds Ratios (OR) Statistically significant p<0.05 statistically significant p<0.001 Ref: reference Adjusted OR: adjustment includes all available variables in the analysis (data for monthly income from different dataset) 95% CI: 95% confidence intervals High level of education was positively associated with increased use of TM, where 74% of people with a secondary school degree or higher used TM, versus 63% among respondents with a primary school degree or lower (adjusted p=1.78, CI 95% 1.01–3.12). And similarly, a high level of income was positively associated with increased use of TM, where 73% of people with a monthly income of 50,000 Uganda Shilling or more used TM, versus 59% among respondents with a monthly income of 50,000 Uganda Shilling or less (p=1.90, CI 95% 1.17–3.10). A positive attitude of the health workers were found to be associated with an increased use of traditional medicine, however the study found that there was a predominantly negative attitude towards the patients at the health center and only 40/323 (12.4%) respondents find a positive attitude towards them when seeking assistance in the health facility. The quantitative data and the positive associations were included in the focus groups to determine causality of the findings. The group discussion revealed causality of the analyses, and furthermore some interesting points were stated from the respondents listed below. Attitude towards using TM was explained during the focus group discussions, where an elderly man (in favor of the TM) stated: The only unfortunate thing is that, some herbalists/healers are not ready to share the knowledge on the use of TM with the young people and as a result such indigenous knowledge on medicinal herbs that ought to be passed on from one generation to the next might soon be lost. However, one of the women (who apparently were against the use of TM) said: “one of the greatest challenges with the use of traditional medicine is that there is no mechanism that has been devised to measure the accurate dosage to be dispensed especially from the herbs used. As a result of using such herbs especially with the consultation of a traditional healer/herbalist, patients tend to delay to seek health-facility based medical care which encourages the advancement of the disease and since in most cases the patients have already used herbs, the risk of developing drug-resistant strains of infections is high”. Most herbs used for traditional medicines are within the homesteads, gardens or near-by bushes and are free-ofcharge, and thus quite accessible for the people to use. Easy access to TM seems to increase use of TM, which was consistent with the findings in the focus group discussions, where discussants agreed that, “availability of most of the basic traditional medicines within the homesteads increases accessibility to such herbs and since there is no cost involved; most residents easily opt for traditional medicine rather than modern drugs”. One traditional healer stated: “although herbs are known to treat different illnesses, even I, myself, am not sure of the active components in most of these herbs and the mechanism by which these herbs work. Often herbs are given to the patient on a trial and error basis. The patients always hope that the traditional medicine works before they patient return to change to another type of herb”. According to a Village Health Volunteer, “there are many factors which prevent residents from utilizing modern health care services..... but the most intent factor is affordability of the services and medicines at health facilities”. He adds, “...most of the residents find such medicines very expensive because of the high levels of poverty in addition to ignorance and limited knowledge on prevention of disease. Most of the herbs relieve pain yet not curing the actual illness. So, patients using TM are in most cases made to believe that they are fine and that the medicine is working. Especially when it relieves them of fevers and pain. Also, long waiting time and distances moved to the health facility, force patients to resort to TM which is readily available in the community”. Examples of traditional medicines commonly used by the participants are shown in figure 1. Examples of plants for traditional medicines used by respondents (in Latin names) Discussion: This study found that the prevalence of use of (TM) among the adults of Katikekile Subcounty was 68%, and that most of the adults used traditional medicine often as their first line-treatment for any illness. Socioeconomic factors like older age, higher educational level of education, high monthly income and being married were associated with higher use of TM. Also, health system factors like easy availability of TM and long distance to health facility were associated with high use of TM. Strengths and weaknesses The results from this study should be interpreted with some caution taking potential weaknesses of the study into consideration. Participating in the study was voluntary which may have influenced who would participate rate and representativeness of the study population. As the researcher represents the health care system one might believe that some respondents would be more hesitant to tell whether they used TM. The result represents the usage of TM in one particular community, and the results are not necessarily likely to be generalizable to other parts of Uganda or rural areas. Strengths of the study were that the researcher was from that culture herself, and understood the people, the language and culture. By using a sequential explanatory design, where the data was collected in two consecutive phases, firstly collecting and analysing quantitative data and secondly using results from the first phase to conduct focus group obtaining qualitative data add to the credibility of the results. The results from this study should be interpreted with some caution taking potential weaknesses of the study into consideration. Participating in the study was voluntary which may have influenced who would participate rate and representativeness of the study population. As the researcher represents the health care system one might believe that some respondents would be more hesitant to tell whether they used TM. The result represents the usage of TM in one particular community, and the results are not necessarily likely to be generalizable to other parts of Uganda or rural areas. Strengths of the study were that the researcher was from that culture herself, and understood the people, the language and culture. By using a sequential explanatory design, where the data was collected in two consecutive phases, firstly collecting and analysing quantitative data and secondly using results from the first phase to conduct focus group obtaining qualitative data add to the credibility of the results. Interpretation and comparing result Our findings are in line with previously studies, where use of TM has been stated to be between 60–80% among Ugandans and often as their first line of treatment9, 10. Similarly, other studies document relatively high use of TM alone or in conjunction with modern medicine in Sub-Saharan countries, where approximately two thirds of users of fail to disclose this use to their healthcare providers15. Socio-economic factors and use of traditional medicine Usage was more prevalent among older people. The age of TM users has previous been reported to younger (20–50 years) of age in urban or semiurban settings24,25 but in rural settings older people (>50 years) are more likely to use TM26, 27. That older people have higher use of TM could be related to both cultural issues, but also, that older people are more prone to suffer from medical conditions and hence require increased health care. In Katikekile, due to cultural influence and existence of cultural norms, which encourage the use of traditional medicine the youth are taught on how to use TM at an early age by their elders. Married people and people who believed there is not a cultural influence for using TM were more likely to use this. Generally, TM users compared with non-TM users in Sub-Saharan Africa were more often reported to be married than not married28–30. Young people who are still single are most likely to be staying with their elderly parents, guardians or relatives and might be influenced by the practices of these significant others. Similarly, the use of TM among married people could be influenced by the backgrounds of the couple. Therefore, the influence of marital status on the use of traditional medicine lies in the background and influence of the spouse on the use of TM or conventional medicine so usage of TM among married people does not come as a surprise. Surprisingly we found that higher educational level of education was associated with higher use of TM. This contradicts observations from previous studies, where TM users are reported to have little or no formal education24-27, 31, though a similar observation has been reported as ours32. People with high level of education and high level of income might have more knowledge and possibility to care for themselves and thus invest in health more than people with less education and lower income. This includes use of TM. Using TM in our study might thus reflect an increased focus and concern of health-related issues among people with higher education rather than preference of type of health care (tradition versus modern). This is also like to be the case regarding that a high monthly income was associated with higher use of TM. Also, health system factors like easy availability of TM and long distance to health facility were associated with high use of TM. The influence of religion on the use of traditional medicine does not exactly prove to deter the use of different herbs since it does not clearly speak against it. In some societies where traditional medicine has been highly associated with witchcraft, Christianity and Islam tend to discourage the use of traditional medicine especially in cases where users go to shrines of traditional practitioners33. On the other hand, believers in traditional religions believe that conventional medicine is not in line with their faith and it is their gods who can guide the TM men to herbal medicine to treat specific diseases33. Our findings are in line with previously studies, where use of TM has been stated to be between 60–80% among Ugandans and often as their first line of treatment9, 10. Similarly, other studies document relatively high use of TM alone or in conjunction with modern medicine in Sub-Saharan countries, where approximately two thirds of users of fail to disclose this use to their healthcare providers15. Socio-economic factors and use of traditional medicine Usage was more prevalent among older people. The age of TM users has previous been reported to younger (20–50 years) of age in urban or semiurban settings24,25 but in rural settings older people (>50 years) are more likely to use TM26, 27. That older people have higher use of TM could be related to both cultural issues, but also, that older people are more prone to suffer from medical conditions and hence require increased health care. In Katikekile, due to cultural influence and existence of cultural norms, which encourage the use of traditional medicine the youth are taught on how to use TM at an early age by their elders. Married people and people who believed there is not a cultural influence for using TM were more likely to use this. Generally, TM users compared with non-TM users in Sub-Saharan Africa were more often reported to be married than not married28–30. Young people who are still single are most likely to be staying with their elderly parents, guardians or relatives and might be influenced by the practices of these significant others. Similarly, the use of TM among married people could be influenced by the backgrounds of the couple. Therefore, the influence of marital status on the use of traditional medicine lies in the background and influence of the spouse on the use of TM or conventional medicine so usage of TM among married people does not come as a surprise. Surprisingly we found that higher educational level of education was associated with higher use of TM. This contradicts observations from previous studies, where TM users are reported to have little or no formal education24-27, 31, though a similar observation has been reported as ours32. People with high level of education and high level of income might have more knowledge and possibility to care for themselves and thus invest in health more than people with less education and lower income. This includes use of TM. Using TM in our study might thus reflect an increased focus and concern of health-related issues among people with higher education rather than preference of type of health care (tradition versus modern). This is also like to be the case regarding that a high monthly income was associated with higher use of TM. Also, health system factors like easy availability of TM and long distance to health facility were associated with high use of TM. The influence of religion on the use of traditional medicine does not exactly prove to deter the use of different herbs since it does not clearly speak against it. In some societies where traditional medicine has been highly associated with witchcraft, Christianity and Islam tend to discourage the use of traditional medicine especially in cases where users go to shrines of traditional practitioners33. On the other hand, believers in traditional religions believe that conventional medicine is not in line with their faith and it is their gods who can guide the TM men to herbal medicine to treat specific diseases33. Health system and use of traditional medicine Easy availability of TM was associated with high use of TM. This finding was backed up during the focus groups interviews, where it was stated, that most herbs used for traditional medicines were within the homesteads, gardens or near-by bushes and were free-of-charge, and hence quite accessible. This was unlike health-facility based health care services, which are normally distant from the homesteads and attract transport fare as well as medical fees. Long distance to health facility were associated with high use of TM. The distance and the time it takes to travel and the costs such as transport fare and medical fees often deter patients from going to the facilities to access modern medicines1, 20. This influences most patients to use traditional medicine as their first-line treatment for any illness and only go to the health facility when the illness has advanced or when more complications have developed. Limited access to health care services at the health facility where most patients are delayed due to congestion especially in public health centre often results into long waiting time. Yet patients and the people who escort them to the health facility usually have a lot of domestic and commercial work which they have to accomplish back home. While the negative attitude of health workers might discourage patients from coming to health facilities for conventional medicine in preference for TM, there is increasing focus on intercultural medicine to overcome barriers among indigenous people34. Hence, patients who have had bad experiences where they have been abused or assaulted by health workers would not easily want to return to the health facility for any service and would go for TM, which is normally administered by a close family member or relative rather than visiting an abusive health worker. It is curios that the current study showed the opposite of this. However, there are challenges involved in the use of TM for both the individual users and the entire health system at large. Such challenges include lack of mechanism for measuring accurate doses when using herbs; limited scientific research to establish the effectiveness and efficacy; the risk of developing drug-resistant restrains germs, and limited disease notification rate at both regional and national levels. In recognition of the importance of TM, Uganda recently passed a bill intended to provide a regulatory framework for traditional herbalists and integrate TM in the healthcare system35. There is minimal scientific research on most of the traditional medicines that are commonly being used so as to establish whether such medicines or herbs contain the curative ingredients necessary for the treatment of the diseases they are meant to cure12, 13, 36. Despite the benefits of using traditional medicines in providing an alternative form of health care medication, the high prevalence of TM use poses challenges to the health care system at both national and regional levels. Most of the illnesses are not properly diagnosed, which could result into wrong treatment and TM could have devastating effects or delay of modern treatment, which then could increase morbidity and become fatal. Easy availability of TM was associated with high use of TM. This finding was backed up during the focus groups interviews, where it was stated, that most herbs used for traditional medicines were within the homesteads, gardens or near-by bushes and were free-of-charge, and hence quite accessible. This was unlike health-facility based health care services, which are normally distant from the homesteads and attract transport fare as well as medical fees. Long distance to health facility were associated with high use of TM. The distance and the time it takes to travel and the costs such as transport fare and medical fees often deter patients from going to the facilities to access modern medicines1, 20. This influences most patients to use traditional medicine as their first-line treatment for any illness and only go to the health facility when the illness has advanced or when more complications have developed. Limited access to health care services at the health facility where most patients are delayed due to congestion especially in public health centre often results into long waiting time. Yet patients and the people who escort them to the health facility usually have a lot of domestic and commercial work which they have to accomplish back home. While the negative attitude of health workers might discourage patients from coming to health facilities for conventional medicine in preference for TM, there is increasing focus on intercultural medicine to overcome barriers among indigenous people34. Hence, patients who have had bad experiences where they have been abused or assaulted by health workers would not easily want to return to the health facility for any service and would go for TM, which is normally administered by a close family member or relative rather than visiting an abusive health worker. It is curios that the current study showed the opposite of this. However, there are challenges involved in the use of TM for both the individual users and the entire health system at large. Such challenges include lack of mechanism for measuring accurate doses when using herbs; limited scientific research to establish the effectiveness and efficacy; the risk of developing drug-resistant restrains germs, and limited disease notification rate at both regional and national levels. In recognition of the importance of TM, Uganda recently passed a bill intended to provide a regulatory framework for traditional herbalists and integrate TM in the healthcare system35. There is minimal scientific research on most of the traditional medicines that are commonly being used so as to establish whether such medicines or herbs contain the curative ingredients necessary for the treatment of the diseases they are meant to cure12, 13, 36. Despite the benefits of using traditional medicines in providing an alternative form of health care medication, the high prevalence of TM use poses challenges to the health care system at both national and regional levels. Most of the illnesses are not properly diagnosed, which could result into wrong treatment and TM could have devastating effects or delay of modern treatment, which then could increase morbidity and become fatal. Strengths and weaknesses: The results from this study should be interpreted with some caution taking potential weaknesses of the study into consideration. Participating in the study was voluntary which may have influenced who would participate rate and representativeness of the study population. As the researcher represents the health care system one might believe that some respondents would be more hesitant to tell whether they used TM. The result represents the usage of TM in one particular community, and the results are not necessarily likely to be generalizable to other parts of Uganda or rural areas. Strengths of the study were that the researcher was from that culture herself, and understood the people, the language and culture. By using a sequential explanatory design, where the data was collected in two consecutive phases, firstly collecting and analysing quantitative data and secondly using results from the first phase to conduct focus group obtaining qualitative data add to the credibility of the results. Interpretation and comparing result: Our findings are in line with previously studies, where use of TM has been stated to be between 60–80% among Ugandans and often as their first line of treatment9, 10. Similarly, other studies document relatively high use of TM alone or in conjunction with modern medicine in Sub-Saharan countries, where approximately two thirds of users of fail to disclose this use to their healthcare providers15. Socio-economic factors and use of traditional medicine Usage was more prevalent among older people. The age of TM users has previous been reported to younger (20–50 years) of age in urban or semiurban settings24,25 but in rural settings older people (>50 years) are more likely to use TM26, 27. That older people have higher use of TM could be related to both cultural issues, but also, that older people are more prone to suffer from medical conditions and hence require increased health care. In Katikekile, due to cultural influence and existence of cultural norms, which encourage the use of traditional medicine the youth are taught on how to use TM at an early age by their elders. Married people and people who believed there is not a cultural influence for using TM were more likely to use this. Generally, TM users compared with non-TM users in Sub-Saharan Africa were more often reported to be married than not married28–30. Young people who are still single are most likely to be staying with their elderly parents, guardians or relatives and might be influenced by the practices of these significant others. Similarly, the use of TM among married people could be influenced by the backgrounds of the couple. Therefore, the influence of marital status on the use of traditional medicine lies in the background and influence of the spouse on the use of TM or conventional medicine so usage of TM among married people does not come as a surprise. Surprisingly we found that higher educational level of education was associated with higher use of TM. This contradicts observations from previous studies, where TM users are reported to have little or no formal education24-27, 31, though a similar observation has been reported as ours32. People with high level of education and high level of income might have more knowledge and possibility to care for themselves and thus invest in health more than people with less education and lower income. This includes use of TM. Using TM in our study might thus reflect an increased focus and concern of health-related issues among people with higher education rather than preference of type of health care (tradition versus modern). This is also like to be the case regarding that a high monthly income was associated with higher use of TM. Also, health system factors like easy availability of TM and long distance to health facility were associated with high use of TM. The influence of religion on the use of traditional medicine does not exactly prove to deter the use of different herbs since it does not clearly speak against it. In some societies where traditional medicine has been highly associated with witchcraft, Christianity and Islam tend to discourage the use of traditional medicine especially in cases where users go to shrines of traditional practitioners33. On the other hand, believers in traditional religions believe that conventional medicine is not in line with their faith and it is their gods who can guide the TM men to herbal medicine to treat specific diseases33. Health system and use of traditional medicine: Easy availability of TM was associated with high use of TM. This finding was backed up during the focus groups interviews, where it was stated, that most herbs used for traditional medicines were within the homesteads, gardens or near-by bushes and were free-of-charge, and hence quite accessible. This was unlike health-facility based health care services, which are normally distant from the homesteads and attract transport fare as well as medical fees. Long distance to health facility were associated with high use of TM. The distance and the time it takes to travel and the costs such as transport fare and medical fees often deter patients from going to the facilities to access modern medicines1, 20. This influences most patients to use traditional medicine as their first-line treatment for any illness and only go to the health facility when the illness has advanced or when more complications have developed. Limited access to health care services at the health facility where most patients are delayed due to congestion especially in public health centre often results into long waiting time. Yet patients and the people who escort them to the health facility usually have a lot of domestic and commercial work which they have to accomplish back home. While the negative attitude of health workers might discourage patients from coming to health facilities for conventional medicine in preference for TM, there is increasing focus on intercultural medicine to overcome barriers among indigenous people34. Hence, patients who have had bad experiences where they have been abused or assaulted by health workers would not easily want to return to the health facility for any service and would go for TM, which is normally administered by a close family member or relative rather than visiting an abusive health worker. It is curios that the current study showed the opposite of this. However, there are challenges involved in the use of TM for both the individual users and the entire health system at large. Such challenges include lack of mechanism for measuring accurate doses when using herbs; limited scientific research to establish the effectiveness and efficacy; the risk of developing drug-resistant restrains germs, and limited disease notification rate at both regional and national levels. In recognition of the importance of TM, Uganda recently passed a bill intended to provide a regulatory framework for traditional herbalists and integrate TM in the healthcare system35. There is minimal scientific research on most of the traditional medicines that are commonly being used so as to establish whether such medicines or herbs contain the curative ingredients necessary for the treatment of the diseases they are meant to cure12, 13, 36. Despite the benefits of using traditional medicines in providing an alternative form of health care medication, the high prevalence of TM use poses challenges to the health care system at both national and regional levels. Most of the illnesses are not properly diagnosed, which could result into wrong treatment and TM could have devastating effects or delay of modern treatment, which then could increase morbidity and become fatal. Conclusions: The use of Traditional Medicine among adults of Katikekile Subcounty in the Karamoja region of Uganda was high but use of TM compared to modern medicine is not a matter of ‘either-or’, but rather ‘both-and’. None the less, use of TM is more prevalent among older people, married couples and those who live far from official health facilities. Most herbs used for traditional medicines are grown near-homesteads and are, by and large, free-of-charge. Hence they are quite accessible compared long distance to health facilities which a facilitator for using TM.
Background: In Uganda generally and in rural areas in particular, use of traditional medicine is a common practice, yet there remains lack of evidence on the overall utilization of traditional medicine and there are many aspects that remain unclear. Methods: A descriptive cross-sectional study using quantitative and qualitative methods. Interviews among 323 respondents, and focus group discussions were carried out among village traditional birth attendants, village health team members, and traditional health providers. Results: Use of traditional medicine among the adults of Katikekile Subcounty was 68%. Usage was more prevalent among older people, and the majority of the adults used traditional medicine often as their first line-treatment for any illness. Herbs used for traditional medicines are usually locally available and free-of-charge. Long distance to health-facility based health care services, and medical fees contributed to the use of traditional medicine. Conclusions: Use of traditional medicine among adults of Katikekile Subcounty in Moroto in the Karamoja region in Uganda was high, and majority of the adults often used traditional medicine as first line-treatment. Both socioeconomic and health sector factors were associated with use of traditional medicine.
Introduction: African Traditional Medicine (TM) is a holistic discipline that integrates indigenous use of herbs and spiritualism. It is based on indigenous experiences and knowledge, whether explicable or not, and used for general health purposes as well as for diagnosis, prevention or treatment of physical and mental illness1, and is widely used in sub-Saharan Africa including Uganda2. Diagnosis of illness is done using spiritual means, while treatment, consists of herbs. These herbs are not only believed to provide cure but have symbolic and spiritual significance. This differs from western medicine, which is, largely, scientific. Previously, there has been a misbelief that the conception of disease in sub-Saharan Africa was embedded in “witchcraft”. None the less, the aetiology of illness in Africa is traditionally viewed from both supernatural and natural perspectives. TM practice has a wide scope covering treatment with herbal medicine3, bone setting, birth delivery and child health and mental health care among others. Some of the challenges with TM include is delay of treatment, patients not receiving the best available management, discontinuation of efficacious or interaction between traditional herbs and modern medicine4, 5. While there is potential danger in some traditional methods, TM healers serve an important role in health promotion, disease prevention and treatment6. In order to minimise distrust between modern and traditional health providers and to obtain cooperation and regulation, both traditional and modern health providers must acknowledge their areas of strengths and weaknesses 7,8. Even though some traditional healers are being integrated into the national health system in Uganda to some extent, traditional medicine has not been fully incorporated, yet 60-80% of Ugandans visit traditional healers as their first line health care9, 10. It is also known that successful community-based intervention are based on mutual understanding between healthcare workers and community members11. In a way, the use of traditional medicine has been researched to some extent, in order to establish the efficacy and efficiency of TM 12–14. None the less, most of the traditional medicines being used in Uganda have neither been studied nor regulated. Some factors have been reported to be the reason for the widespread use of TM in sub-Saharan Africa. Accessibility of traditional health providers is, by and large, higher than modern western heath care providers. For example, the ratio of traditional health providers to the population is 1: 500 while that of for modern medical doctors is 1:40 000. We also know that most modern medical doctors are based in urban areas leaving people in rural communities with no choice but to consult traditional health providers in case of illness8. A recent review of factors affecting use of TM included low socioeconomic and educational status; while there were inconsistencies in gender, age and religious beliefs15. It has been reported that older age and female gender is associated with increased use of TM 16, but there are conflicting data on how other factors such as educational level, religion and spiritual beliefs, marital status affect use of TM 17. However, the users of TM choose health practices that resonate with their beliefs about health18. It has, also, been reported that TM is more easily accessible mainly because of a multiplicity of users, the herbs normally grow in gardens or bushes close to the homes and hence their use is free of charge without any significant economic limitations 19. Distance to the health facility has been found be related to the use of modern health facilities as well as modern medicine1, 20; In addition, health system factors, such as policies that control the use of TM, have a great influence on the use of TM. The attitude of health workers towards patients, and waiting time at health facilities before accessing health services, can attract patients or discourage them from using health services in modern health facilities 9. This might force them to use available alternatives such as TM 21. While the use of TM in sub-Saharan Africa seems widespread, only a few studies have been made regarding factors related with TM use15. This is the main justification for further research to elucidate opportunities and challenges associated with use of TM Conclusions: The use of Traditional Medicine among adults of Katikekile Subcounty in the Karamoja region of Uganda was high but use of TM compared to modern medicine is not a matter of ‘either-or’, but rather ‘both-and’. None the less, use of TM is more prevalent among older people, married couples and those who live far from official health facilities. Most herbs used for traditional medicines are grown near-homesteads and are, by and large, free-of-charge. Hence they are quite accessible compared long distance to health facilities which a facilitator for using TM.
Background: In Uganda generally and in rural areas in particular, use of traditional medicine is a common practice, yet there remains lack of evidence on the overall utilization of traditional medicine and there are many aspects that remain unclear. Methods: A descriptive cross-sectional study using quantitative and qualitative methods. Interviews among 323 respondents, and focus group discussions were carried out among village traditional birth attendants, village health team members, and traditional health providers. Results: Use of traditional medicine among the adults of Katikekile Subcounty was 68%. Usage was more prevalent among older people, and the majority of the adults used traditional medicine often as their first line-treatment for any illness. Herbs used for traditional medicines are usually locally available and free-of-charge. Long distance to health-facility based health care services, and medical fees contributed to the use of traditional medicine. Conclusions: Use of traditional medicine among adults of Katikekile Subcounty in Moroto in the Karamoja region in Uganda was high, and majority of the adults often used traditional medicine as first line-treatment. Both socioeconomic and health sector factors were associated with use of traditional medicine.
9,007
225
[ 38, 258, 364, 215, 73, 168, 635, 557 ]
13
[ "tm", "health", "use", "traditional", "use tm", "study", "medicine", "people", "focus", "data" ]
[ "traditional medicine researched", "herbs traditional medicines", "use traditional medicine", "illness africa traditionally", "traditional medicines uganda" ]
[CONTENT] Intercultural medicine | indigenous | herbalists [SUMMARY]
[CONTENT] Intercultural medicine | indigenous | herbalists [SUMMARY]
[CONTENT] Intercultural medicine | indigenous | herbalists [SUMMARY]
[CONTENT] Intercultural medicine | indigenous | herbalists [SUMMARY]
[CONTENT] Intercultural medicine | indigenous | herbalists [SUMMARY]
[CONTENT] Intercultural medicine | indigenous | herbalists [SUMMARY]
[CONTENT] Adult | Aged | Cross-Sectional Studies | Economic Factors | Humans | Medicine, Traditional | Prevalence | Socioeconomic Factors | Uganda [SUMMARY]
[CONTENT] Adult | Aged | Cross-Sectional Studies | Economic Factors | Humans | Medicine, Traditional | Prevalence | Socioeconomic Factors | Uganda [SUMMARY]
[CONTENT] Adult | Aged | Cross-Sectional Studies | Economic Factors | Humans | Medicine, Traditional | Prevalence | Socioeconomic Factors | Uganda [SUMMARY]
[CONTENT] Adult | Aged | Cross-Sectional Studies | Economic Factors | Humans | Medicine, Traditional | Prevalence | Socioeconomic Factors | Uganda [SUMMARY]
[CONTENT] Adult | Aged | Cross-Sectional Studies | Economic Factors | Humans | Medicine, Traditional | Prevalence | Socioeconomic Factors | Uganda [SUMMARY]
[CONTENT] Adult | Aged | Cross-Sectional Studies | Economic Factors | Humans | Medicine, Traditional | Prevalence | Socioeconomic Factors | Uganda [SUMMARY]
[CONTENT] traditional medicine researched | herbs traditional medicines | use traditional medicine | illness africa traditionally | traditional medicines uganda [SUMMARY]
[CONTENT] traditional medicine researched | herbs traditional medicines | use traditional medicine | illness africa traditionally | traditional medicines uganda [SUMMARY]
[CONTENT] traditional medicine researched | herbs traditional medicines | use traditional medicine | illness africa traditionally | traditional medicines uganda [SUMMARY]
[CONTENT] traditional medicine researched | herbs traditional medicines | use traditional medicine | illness africa traditionally | traditional medicines uganda [SUMMARY]
[CONTENT] traditional medicine researched | herbs traditional medicines | use traditional medicine | illness africa traditionally | traditional medicines uganda [SUMMARY]
[CONTENT] traditional medicine researched | herbs traditional medicines | use traditional medicine | illness africa traditionally | traditional medicines uganda [SUMMARY]
[CONTENT] tm | health | use | traditional | use tm | study | medicine | people | focus | data [SUMMARY]
[CONTENT] tm | health | use | traditional | use tm | study | medicine | people | focus | data [SUMMARY]
[CONTENT] tm | health | use | traditional | use tm | study | medicine | people | focus | data [SUMMARY]
[CONTENT] tm | health | use | traditional | use tm | study | medicine | people | focus | data [SUMMARY]
[CONTENT] tm | health | use | traditional | use tm | study | medicine | people | focus | data [SUMMARY]
[CONTENT] tm | health | use | traditional | use tm | study | medicine | people | focus | data [SUMMARY]
[CONTENT] health | tm | use | traditional | modern | providers | africa | health providers | use tm | saharan africa [SUMMARY]
[CONTENT] study | data | discussions | group | focus | focus group | group discussions | focus group discussions | health | collecting [SUMMARY]
[CONTENT] tm | herbs | respondents | use | traditional | patients | health | medicines | people | use tm [SUMMARY]
[CONTENT] compared | use | tm | facilities | health facilities | married couples live | married couples live far | subcounty karamoja region uganda | subcounty karamoja region | medicines grown [SUMMARY]
[CONTENT] tm | use | health | traditional | study | use tm | medicine | data | focus | people [SUMMARY]
[CONTENT] tm | use | health | traditional | study | use tm | medicine | data | focus | people [SUMMARY]
[CONTENT] Uganda [SUMMARY]
[CONTENT] ||| Interviews | 323 [SUMMARY]
[CONTENT] Katikekile Subcounty | 68% ||| first ||| ||| [SUMMARY]
[CONTENT] Katikekile Subcounty | Moroto | Karamoja | Uganda | first ||| [SUMMARY]
[CONTENT] Uganda ||| ||| Interviews | 323 ||| Katikekile Subcounty | 68% ||| first ||| ||| ||| Katikekile Subcounty | Moroto | Karamoja | Uganda | first ||| [SUMMARY]
[CONTENT] Uganda ||| ||| Interviews | 323 ||| Katikekile Subcounty | 68% ||| first ||| ||| ||| Katikekile Subcounty | Moroto | Karamoja | Uganda | first ||| [SUMMARY]
Opinions about the most appropriate surgical management of diabetes-related foot infection: a cross-sectional survey.
35232476
There is a lack of high quality evidence to guide the optimal management of diabetes-related foot infection, particularly in cases of severe diabetes-related foot infection and diabetes-related foot osteomyelitis. This study examined the opinions of surgeons about the preferred management of severe diabetes-related foot infection.
BACKGROUND
Vascular and orthopaedic surgeons in Australia and New Zealand were invited to complete an online survey via email. The survey included multi-choice and open-ended questions on clinical management of diabetes-related foot infection. Responses of vascular surgeons and orthopaedic surgeons were compared using non-parametric statistical tests. Open-text responses were examined using inductive content analysis.
METHODS
29 vascular and 20 orthopaedic surgeons completed the survey. One-third (28.6%) used best-practice guidelines to assist in decisions about foot infection management. Areas for guideline improvement identified included more specific advice regarding the indications for available treatments, more recommendations about non-surgical patient management and advice on how management can be varied in regions with limited health service resource. The probe-to-bone test and magnetic resonance imaging were the preferred methods of diagnosing osteomyelitis. Approximately half (51.2%) of respondents indicated piperacillin combined with tazobactam as the preferred antibiotic choice for empirical treatment of severe diabetes-related foot infection. Negative pressure wound therapy was the most common way of managing a wound following debridement. All vascular surgeons (100%) made revascularisation decisions based on the severity of ischemia while most orthopaedic surgeons (66.7%) were likely to refer to vascular surgeons to make revascularisation decisions. Vascular surgeons preferred using wound swabs while orthopaedic surgeons favoured tissue or bone biopsies to determine the choice of antibiotic. Respondents perceived a moderate variation in management decisions between specialists and supported the need for randomised controlled trials to test different management pathways.
RESULTS
Most vascular and orthopaedic surgeons do not use best-practice guidelines to assist in decisions about management of diabetes-related foot infection. Vascular and orthopaedic surgeons appear to have different preferences for wound sampling to determine choice of antibiotic. There is a need for higher quality evidence to clarify best practice for managing diabetes-related foot infection.
CONCLUSIONS
[ "Australia", "Cross-Sectional Studies", "Diabetes Mellitus", "Diabetic Foot", "Humans", "New Zealand", "Surveys and Questionnaires", "Vascular Surgical Procedures" ]
8889647
Background
Foot infection is a common complication of diabetes and varies in severity [1, 2]. Severe diabetes-related foot infection (DFI) often precipitates hospital admission and requirement for lower extremity amputation [3]. Management of DFI is challenging due to difficulties with diagnosis, limited evidence from high quality clinical trials and heterogeneity in clinical presentation [3]. Bone biopsy, for example, is the gold-standard method to diagnose diabetes-related foot osteomyelitis and to determine choice of antibiotic but is highly invasive and not always appropriate to use [3, 4]. International best-practice guidelines for management of DFI recognise that the evidence to support recommendation is limited due to the lack of high-quality clinical trials [3]. Only one reported randomised clinical trial has tested whether surgical or medical treatment is superior for treating diabetes-related foot osteomyelitis [5]. This trial was too small with too short follow-up to clarify the most appropriate management [5]. The lack of high quality evidence means that there is limited consensus to guide optimal management of DFI, particularly in cases of severe DFI and diabetes-related foot osteomyelitis [6–8]. This is echoed in a recent survey of Australian and New Zealand infectious diseases clinicians which reported limited consensus on how DFI was treated amongst this group of clinicians [9]. In Australia and New Zealand, surgical management of DFI is mainly performed by vascular and orthopaedic surgeons, but these specialties were not included in the previous survey on this topic [10, 11]. The aim of this study was to discover vascular and orthopaedic surgeons’ opinions about the management of DFI. Due to the prior evidence of variation in practice in Australia and New Zealand, the survey was focused on vascular and orthopaedic surgeons practicing in this region.
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Results
Participants A total of 49 survey responses were received, with 42 being complete and seven including responses to at least 50% of questions. Participant characteristics are shown in Table 1. 29 responses (59.2%) were from vascular surgeons and 20 responses (40.8%) were from orthopaedic surgeons. Most (46; 93.9%) were Royal Australasian College of Surgeons accredited consultants. Table 1Characteristics of the forty nine participantsSurgical specialtyVascular surgeryOrthopaedic surgery29 (59.2%)20 (40.8%)LocationQueenslandNew South WalesSouth AustraliaTasmaniaVictoriaWestern AustraliaAustralian Capital TerritoryNew Zealand29 (59.2%)5 (10.2%)2 (4.1%)1 (2.0%)4 (8.2%)3 (6.1%)2 (4.1%)3 (6.1%)Primary place of workPublic hospitalPrivate practice31 (63.3%)18 (36.7%)Years of medical experience27.0 (9.4)DesignationRACS accredited ConsultantOthers46 (93.9%)3 (6.1%)Data presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons Characteristics of the forty nine participants Location Queensland New South Wales South Australia Tasmania Victoria Western Australia Australian Capital Territory New Zealand 29 (59.2%) 5 (10.2%) 2 (4.1%) 1 (2.0%) 4 (8.2%) 3 (6.1%) 2 (4.1%) 3 (6.1%) Primary place of work Public hospital Private practice 31 (63.3%) 18 (36.7%) Designation RACS accredited Consultant Others 46 (93.9%) 3 (6.1%) Data presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons A total of 49 survey responses were received, with 42 being complete and seven including responses to at least 50% of questions. Participant characteristics are shown in Table 1. 29 responses (59.2%) were from vascular surgeons and 20 responses (40.8%) were from orthopaedic surgeons. Most (46; 93.9%) were Royal Australasian College of Surgeons accredited consultants. Table 1Characteristics of the forty nine participantsSurgical specialtyVascular surgeryOrthopaedic surgery29 (59.2%)20 (40.8%)LocationQueenslandNew South WalesSouth AustraliaTasmaniaVictoriaWestern AustraliaAustralian Capital TerritoryNew Zealand29 (59.2%)5 (10.2%)2 (4.1%)1 (2.0%)4 (8.2%)3 (6.1%)2 (4.1%)3 (6.1%)Primary place of workPublic hospitalPrivate practice31 (63.3%)18 (36.7%)Years of medical experience27.0 (9.4)DesignationRACS accredited ConsultantOthers46 (93.9%)3 (6.1%)Data presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons Characteristics of the forty nine participants Location Queensland New South Wales South Australia Tasmania Victoria Western Australia Australian Capital Territory New Zealand 29 (59.2%) 5 (10.2%) 2 (4.1%) 1 (2.0%) 4 (8.2%) 3 (6.1%) 2 (4.1%) 3 (6.1%) Primary place of work Public hospital Private practice 31 (63.3%) 18 (36.7%) Designation RACS accredited Consultant Others 46 (93.9%) 3 (6.1%) Data presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons Current management practices Responses to questions on current management practices are summarised in Table 2. The severity of infection was determined most commonly by the degree of tissue necrosis (30/49; 61.2%) and/or the extent of erythema (27/49; 55.1%). International classification systems were rarely used to determine the extent of infection (13/49; 26.5%). The most common wound sampling method for guiding the choice of antibiotic was the wound swab (27/49; 55.1%), followed by tissue or bone biopsy (17/49; 34.7%). There was a statistically significant difference (Fisher-Freeman-Halton = 14.512, p < 0.001) in the sampling method preferred by vascular and orthopaedic surgeons. Vascular surgeons (22/29; 75.9%) preferred wound swabs but orthopaedic surgeons (13/20; 65.0%) preferred tissue or bone biopsies to guide antibiotic choice for severe DFI. Most respondents (35/49; 71.4%) did not use a guideline to assist their management of DFI. This finding was consistent in both surgical specialties (x2 = 0.610, p = 0.435). Table 2Current management practicesTotalVascular surgeonsOrthopaedic surgeonsp-valueDetermining extent of infection prior to surgical treatment1Based on international classification system13/49 (26.5%)9/29 (31.0%)4/20 (20.0%)2Based on extent of erythema27/49 (55.1%)18/29 (62.1%)9/20 (45.0%)Based on extent of skin with raised temps19/49 (38.8%)14/29 (48.3%)5/20 (25.0%)Based on amount and type of wound exudate21/49 (42.9%)14/29 (48.3%)7/20 (35.0%)Based on extent of swelling20/49 (40.8%)15/29 (51.7%)5/20 (25.0%)Based on degree of tissue necrosis30/49 (61.2%)19/29 (65.5%)11/20 (55.0%)Others18/49 (36.7%)6/29 (20.7%)12/20 (60.0%)Wound sampling prior to surgical treatmentTissue or bone biopsy17/49 (34.7%)4/29 (13.8%)13/20 (65.0%)p < 0.001 3Wound swab27/49 (55.1%)22/29 (75.9%)5/20 (25.0%)Others5/49 (10.2%)3/29 (10.3%)2/20 (10.0%)Guideline usageYes14/49 (28.6%)10/29 (34.5%)4/20 (7.4%)P = 0.435 4No35/49 (71.4%)19/29 (65.5%)16/20 (29.6%)Antibiotic choicePiperacillin/Tazobactam21/41 (51.2%)13/22 (59.1%)8/19 (42.1%)p = 0.871 3Amoxicillin/Clavulanic acid8/41 (19.5%)4/22 (18.2%)4/19 (21.1%)Cefazolin5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Defer to guidelines or infectious diseases5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Other antibiotics2/41 (4.9%)1/22 (4.5%)1/19 (5.3%)Antibiotic routeIV31/40 (77.5%)18/21 (85.7%)13/19 (68.4%)p = 0.518 3IV + Oral2/40 (5.0%)1/21 (4.8%)1/19 (5.3%)Defer to guidelines or infectious diseases physicians5/40 (12.5%)2/21 (9.5%)3/19 (15.8%)Others2/40 (5.0%)0/21 (0.0%)2/19 (10.5%)Wound dressing selection1Iodine-based dressings26/42 (61.9%)14/22 (63.6%)12/20 (60.0%)2Betadine paint10/42 (23.8%)9/22 (40.9%)1/20 (5.0%)Saline soaked packing19/42 (45.2%)12/22 (54.5%)7/20 (35.0%)Betadine soaked packing13/42 (31.0%)10/22 (45.5%)3/20 (15.0%)Chlorohexidine-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Silver-based dressings23/42 (54.8%)11/22 (50.0%)12/20 (60.0%)Honey-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Negative pressure therapy38/42 (90.5%)19/22 (86.4%)19/20 (95.0%)No dressing2/42 (4.8%)2/22 (9.1%)0/20 (0.0%)Others9/42 (21.4%)8/22 (36.4%)1/20 (5.0%)Wound closure after debridement1Healing by primary closure19/42 (45.2%)10/22 (45.5%)9/20 (45.0%)2Healing by delayed primary closure27/42 (64.3%)13/22 (59.1%)14/20 (70.0%)Superficial skin graft18/42 (42.9%)13/22 (59.1%)5/20 (25.0%)Healing by secondary intention39/42 (92.9%)20/22 (90.9%)19/20 (95.0%)1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction Current management practices 1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction Respondents who used guidelines were also asked to detail what they thought was lacking in the current guidelines. Three main themes were identified from their responses: (i) Treatment-based decisions, (ii) Holistic management and (iii) Local resource considerations. Table 3 reports this in greater detail. Table 3Additional areas to be covered in guidelinesAdditional areas to be covered in guidelinesnTreatment-based decisions• Indications for conservative vs. surgical management• Optimal offloading and biomechanical considerations• Vascular intervention• Imaging criteria• Charcot vs. infection considerations9Holistic management• Co-morbidities• Indicators of function• Patient education• Dietary management of diabetes7Local resource consideration• Distance to nearest hospital• Availability of podiatry services2 Additional areas to be covered in guidelines Treatment-based decisions • Indications for conservative vs. surgical management • Optimal offloading and biomechanical considerations • Vascular intervention • Imaging criteria • Charcot vs. infection considerations Holistic management • Co-morbidities • Indicators of function • Patient education • Dietary management of diabetes Local resource consideration • Distance to nearest hospital • Availability of podiatry services Sample quotes are given below to illustrate these themes: (i) Treatment-based decisions. “The timing of debridement is not clear” (Orthopaedic surgeon 11). “The timing of debridement is not clear” (Orthopaedic surgeon 11). “The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7). “The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7). (ii) Holistic management. “Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21). “Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21). “Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15). “Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15). (iii) Local resource considerations. “Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17). “Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17). Half (21/41; 51.2%) of the respondents indicated that piperacillin combined with tazobactam was their preferred choice of antibiotic for the empirical management of severe DFI. Most (31/40; 77.5%) respondents preferred an intravenous route of antibiotic administration. Few respondents indicated that their choice (5/41; 12.2%) and route (5/40; 12.5%) of antibiotic was based on guidelines or on advice from infectious diseases physicians. There was no statistical difference in the choice and route of delivery for antibiotics between orthopaedic and vascular surgery specialties (Fisher-Freeman-Halton = 1.799, p = 0.871; Fisher-Freeman-Halton = 2.832, p = 0.518). Negative pressure dressings were the most common method used to manage open wounds (38/42; 90.5%) with most wounds left to heal by secondary intention (39/42; 92.9%). Responses to questions on current management practices are summarised in Table 2. The severity of infection was determined most commonly by the degree of tissue necrosis (30/49; 61.2%) and/or the extent of erythema (27/49; 55.1%). International classification systems were rarely used to determine the extent of infection (13/49; 26.5%). The most common wound sampling method for guiding the choice of antibiotic was the wound swab (27/49; 55.1%), followed by tissue or bone biopsy (17/49; 34.7%). There was a statistically significant difference (Fisher-Freeman-Halton = 14.512, p < 0.001) in the sampling method preferred by vascular and orthopaedic surgeons. Vascular surgeons (22/29; 75.9%) preferred wound swabs but orthopaedic surgeons (13/20; 65.0%) preferred tissue or bone biopsies to guide antibiotic choice for severe DFI. Most respondents (35/49; 71.4%) did not use a guideline to assist their management of DFI. This finding was consistent in both surgical specialties (x2 = 0.610, p = 0.435). Table 2Current management practicesTotalVascular surgeonsOrthopaedic surgeonsp-valueDetermining extent of infection prior to surgical treatment1Based on international classification system13/49 (26.5%)9/29 (31.0%)4/20 (20.0%)2Based on extent of erythema27/49 (55.1%)18/29 (62.1%)9/20 (45.0%)Based on extent of skin with raised temps19/49 (38.8%)14/29 (48.3%)5/20 (25.0%)Based on amount and type of wound exudate21/49 (42.9%)14/29 (48.3%)7/20 (35.0%)Based on extent of swelling20/49 (40.8%)15/29 (51.7%)5/20 (25.0%)Based on degree of tissue necrosis30/49 (61.2%)19/29 (65.5%)11/20 (55.0%)Others18/49 (36.7%)6/29 (20.7%)12/20 (60.0%)Wound sampling prior to surgical treatmentTissue or bone biopsy17/49 (34.7%)4/29 (13.8%)13/20 (65.0%)p < 0.001 3Wound swab27/49 (55.1%)22/29 (75.9%)5/20 (25.0%)Others5/49 (10.2%)3/29 (10.3%)2/20 (10.0%)Guideline usageYes14/49 (28.6%)10/29 (34.5%)4/20 (7.4%)P = 0.435 4No35/49 (71.4%)19/29 (65.5%)16/20 (29.6%)Antibiotic choicePiperacillin/Tazobactam21/41 (51.2%)13/22 (59.1%)8/19 (42.1%)p = 0.871 3Amoxicillin/Clavulanic acid8/41 (19.5%)4/22 (18.2%)4/19 (21.1%)Cefazolin5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Defer to guidelines or infectious diseases5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Other antibiotics2/41 (4.9%)1/22 (4.5%)1/19 (5.3%)Antibiotic routeIV31/40 (77.5%)18/21 (85.7%)13/19 (68.4%)p = 0.518 3IV + Oral2/40 (5.0%)1/21 (4.8%)1/19 (5.3%)Defer to guidelines or infectious diseases physicians5/40 (12.5%)2/21 (9.5%)3/19 (15.8%)Others2/40 (5.0%)0/21 (0.0%)2/19 (10.5%)Wound dressing selection1Iodine-based dressings26/42 (61.9%)14/22 (63.6%)12/20 (60.0%)2Betadine paint10/42 (23.8%)9/22 (40.9%)1/20 (5.0%)Saline soaked packing19/42 (45.2%)12/22 (54.5%)7/20 (35.0%)Betadine soaked packing13/42 (31.0%)10/22 (45.5%)3/20 (15.0%)Chlorohexidine-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Silver-based dressings23/42 (54.8%)11/22 (50.0%)12/20 (60.0%)Honey-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Negative pressure therapy38/42 (90.5%)19/22 (86.4%)19/20 (95.0%)No dressing2/42 (4.8%)2/22 (9.1%)0/20 (0.0%)Others9/42 (21.4%)8/22 (36.4%)1/20 (5.0%)Wound closure after debridement1Healing by primary closure19/42 (45.2%)10/22 (45.5%)9/20 (45.0%)2Healing by delayed primary closure27/42 (64.3%)13/22 (59.1%)14/20 (70.0%)Superficial skin graft18/42 (42.9%)13/22 (59.1%)5/20 (25.0%)Healing by secondary intention39/42 (92.9%)20/22 (90.9%)19/20 (95.0%)1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction Current management practices 1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction Respondents who used guidelines were also asked to detail what they thought was lacking in the current guidelines. Three main themes were identified from their responses: (i) Treatment-based decisions, (ii) Holistic management and (iii) Local resource considerations. Table 3 reports this in greater detail. Table 3Additional areas to be covered in guidelinesAdditional areas to be covered in guidelinesnTreatment-based decisions• Indications for conservative vs. surgical management• Optimal offloading and biomechanical considerations• Vascular intervention• Imaging criteria• Charcot vs. infection considerations9Holistic management• Co-morbidities• Indicators of function• Patient education• Dietary management of diabetes7Local resource consideration• Distance to nearest hospital• Availability of podiatry services2 Additional areas to be covered in guidelines Treatment-based decisions • Indications for conservative vs. surgical management • Optimal offloading and biomechanical considerations • Vascular intervention • Imaging criteria • Charcot vs. infection considerations Holistic management • Co-morbidities • Indicators of function • Patient education • Dietary management of diabetes Local resource consideration • Distance to nearest hospital • Availability of podiatry services Sample quotes are given below to illustrate these themes: (i) Treatment-based decisions. “The timing of debridement is not clear” (Orthopaedic surgeon 11). “The timing of debridement is not clear” (Orthopaedic surgeon 11). “The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7). “The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7). (ii) Holistic management. “Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21). “Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21). “Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15). “Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15). (iii) Local resource considerations. “Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17). “Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17). Half (21/41; 51.2%) of the respondents indicated that piperacillin combined with tazobactam was their preferred choice of antibiotic for the empirical management of severe DFI. Most (31/40; 77.5%) respondents preferred an intravenous route of antibiotic administration. Few respondents indicated that their choice (5/41; 12.2%) and route (5/40; 12.5%) of antibiotic was based on guidelines or on advice from infectious diseases physicians. There was no statistical difference in the choice and route of delivery for antibiotics between orthopaedic and vascular surgery specialties (Fisher-Freeman-Halton = 1.799, p = 0.871; Fisher-Freeman-Halton = 2.832, p = 0.518). Negative pressure dressings were the most common method used to manage open wounds (38/42; 90.5%) with most wounds left to heal by secondary intention (39/42; 92.9%). Opinions regarding clinical management and perceptions of further research Table 4 summarises respondents’ opinions about the usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials. Results were reported as median (IQR). The probe-to-bone test (4/5 [3–5]) and magnetic resonance imaging (4/5 [3–5]) were seen as the most useful ways to diagnose osteomyelitis and this was not significantly different between the vascular and orthopaedic surgeons (p = 0.082, p = 0.922). Respondents were confident about making management decisions with a median confidence score of 4 out of 5 in all aspects covered. Respondents indicated greatest confidence in the indications for surgical debridement (5/5 [4, 5]). Respondents felt that there was moderate variation (i.e. median variation score of 3) between specialists in most management decisions. The choice of wound dressing was felt to be particularly variable (4/5 [3–5]). Respondents perceived moderate need (minimum median score of 3) for further randomised controlled trials exploring key aspects of DFI management. There was no statistically significant difference between the response of vascular and orthopaedic surgeons. Table 4Opinions of managing diabetes-related foot infection and osteomyelitisTotalVascular surgeonsOrthopaedic surgeonsp-value 2Usefulness for diagnosing diabetic foot osteomyelitis1Probe-to-bone test35/494 (3–5)19/294 (3–5)16/203 (2–4)p = 0.082Bone biopsy35/493 (2–5)18/293 (2–4)17/204 (2–5)p = 0.303Plain x-ray40/493 (2–4)22/293 (2–4)18/203.5 (2–4)p = 0.757Magnetic resonance imaging39/494 (3–5)21/294 (3.5–5)18/204 (3–5)p = 0.922Bone scan24/493 (2–4)12/293 (2–4)12/203 (2–3.75)p = 0.478PET-CT scan19/493 (3–4)10/293 (2.75–4)9/204 (3–4)p = 0.720Confidence in: 1Wound dressing choice40/494 (3.25–5)21/295 (4–5)19/204 (3–4)P = 0.065Antibiotic choice39/494 (4–5)21/294 (4–5)18/204 (3–4)P = 0.053Antibiotic duration40/494 (3–4)22/293.5 (3–4)18/204 (3–4)P = 0.638Indications for removal of infected bone41/494 (4–5)22/294.5 (4–5)19/204 (4–5)P = 0.954Indications for surgical debridement42/495 (4–5)22/295 (4–5)20/204 (4–5)P = 0.083Extent of surgical debridement42/494 (4–5)22/295 (4–5)20/204 (4–5)P = 0.190Variation in: 1Wound dressing choice41/494 (3–5)21/294 (3.5–5)20/204 (3–4)p = 0.122Antibiotic choice40/493 (2–4)21/293 (2–3.5)19/203 (2–4)p = 0.830Antibiotic duration40/493 (2–3.75)21/293 (3–4)19/203 (2–4)P = 0.320Indications for removal of infected bone38/493 (3–4)19/293 (2–3)19/203 (2–4)P = 0.525Indications for surgical debridement38/493 (2–4)20/293 (2–4)18/203 (2–4)P = 0.806Extent of surgical debridement41/493 (2–4)21/293 (2–4)20/203 (2–4)P = 0.764Need for further randomised clinical trials exploring: 1Wound dressing choice31/494 (3–4)16/294 (3–5)15/203 (3–4)p = 0.216Antibiotic choice33/493 (2–4)18/293 (2–4)15/203 (2–4)p = 0.789Antibiotic duration35/494 (3–4)18/294 (3–4)17/204 (2.5–4)p = 0.732Indications for removal of infected bone34/494 (3–5)17/294 (3–5)17/204 (2.5–5)p = 0.610Indications for surgical debridement32/494 (2–5)14/294 (2–4.25)18/204 (2.75–5)p = 0.639Extent of surgical debridement34/494 (2.75–4.25)16/294 (3–4.75)18/204 (2–4.25)p = 0.5061 Reported as median (IQR), 2 Mann-Whitney U test Opinions of managing diabetes-related foot infection and osteomyelitis 35/49 4 (3–5) 19/29 4 (3–5) 16/20 3 (2–4) 35/49 3 (2–5) 18/29 3 (2–4) 17/20 4 (2–5) 40/49 3 (2–4) 22/29 3 (2–4) 18/20 3.5 (2–4) 39/49 4 (3–5) 21/29 4 (3.5–5) 18/20 4 (3–5) 24/49 3 (2–4) 12/29 3 (2–4) 12/20 3 (2–3.75) 19/49 3 (3–4) 10/29 3 (2.75–4) 9/20 4 (3–4) 40/49 4 (3.25–5) 21/29 5 (4–5) 19/20 4 (3–4) 39/49 4 (4–5) 21/29 4 (4–5) 18/20 4 (3–4) 40/49 4 (3–4) 22/29 3.5 (3–4) 18/20 4 (3–4) 41/49 4 (4–5) 22/29 4.5 (4–5) 19/20 4 (4–5) 42/49 5 (4–5) 22/29 5 (4–5) 20/20 4 (4–5) 42/49 4 (4–5) 22/29 5 (4–5) 20/20 4 (4–5) 41/49 4 (3–5) 21/29 4 (3.5–5) 20/20 4 (3–4) 40/49 3 (2–4) 21/29 3 (2–3.5) 19/20 3 (2–4) 40/49 3 (2–3.75) 21/29 3 (3–4) 19/20 3 (2–4) 38/49 3 (3–4) 19/29 3 (2–3) 19/20 3 (2–4) 38/49 3 (2–4) 20/29 3 (2–4) 18/20 3 (2–4) 41/49 3 (2–4) 21/29 3 (2–4) 20/20 3 (2–4) 31/49 4 (3–4) 16/29 4 (3–5) 15/20 3 (3–4) 33/49 3 (2–4) 18/29 3 (2–4) 15/20 3 (2–4) 35/49 4 (3–4) 18/29 4 (3–4) 17/20 4 (2.5–4) 34/49 4 (3–5) 17/29 4 (3–5) 17/20 4 (2.5–5) 32/49 4 (2–5) 14/29 4 (2–4.25) 18/20 4 (2.75–5) 34/49 4 (2.75–4.25) 16/29 4 (3–4.75) 18/20 4 (2–4.25) 1 Reported as median (IQR), 2 Mann-Whitney U test In an optional open-ended question, respondents were asked about their management decision for revascularisation. Content analysis identified two main themes: (i) Revasularisation decision based on assessment of the severity of ischemia and (ii) Referral to vascular surgery for revasularisation decisions. Table 5 reports this in greater detail. Table 5Revascularisation decisionsRevascularisation decisionTotalVascular surgeryOrthopaedic surgerySeverity of ischemia determined via:• Toe pressures/ABI 1• Palpation of foot/lower limb pulses• Imaging modalities• Wound healing & appearance23/33 (69.7%)18/18 (100.0%)5/15 (33.3%)Referral to vascular surgery10/33 (30.3%)0/18 (0%)10/15 (66.7%)1 ABI = Ankle brachial pressure index Revascularisation decisions Severity of ischemia determined via: • Toe pressures/ABI 1 • Palpation of foot/lower limb pulses • Imaging modalities • Wound healing & appearance 1 ABI = Ankle brachial pressure index Sample quotes are given below: (i) Severity of ischemia. This theme formed the largest section of comments (23/33; 69.7%). All vascular surgeons who commented (18/18; 100.0%) on this question mentioned that they would make revascularisation decisions based on the severity of ischemia. These were determined using a combination of imaging modalities, ankle and toe Doppler pressures, palpation of pulses and/or based on the healing and appearance of the wound itself. “Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29). “Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29). “Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22). “Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22). (ii) Referral to vascular surgery. In contrast, a majority of orthopaedic surgeons who commented on this question mentioned that they would refer to vascular surgery to make revascularisation decisions (10/15; 66.7%). “Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15). “Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15). Table 4 summarises respondents’ opinions about the usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials. Results were reported as median (IQR). The probe-to-bone test (4/5 [3–5]) and magnetic resonance imaging (4/5 [3–5]) were seen as the most useful ways to diagnose osteomyelitis and this was not significantly different between the vascular and orthopaedic surgeons (p = 0.082, p = 0.922). Respondents were confident about making management decisions with a median confidence score of 4 out of 5 in all aspects covered. Respondents indicated greatest confidence in the indications for surgical debridement (5/5 [4, 5]). Respondents felt that there was moderate variation (i.e. median variation score of 3) between specialists in most management decisions. The choice of wound dressing was felt to be particularly variable (4/5 [3–5]). Respondents perceived moderate need (minimum median score of 3) for further randomised controlled trials exploring key aspects of DFI management. There was no statistically significant difference between the response of vascular and orthopaedic surgeons. Table 4Opinions of managing diabetes-related foot infection and osteomyelitisTotalVascular surgeonsOrthopaedic surgeonsp-value 2Usefulness for diagnosing diabetic foot osteomyelitis1Probe-to-bone test35/494 (3–5)19/294 (3–5)16/203 (2–4)p = 0.082Bone biopsy35/493 (2–5)18/293 (2–4)17/204 (2–5)p = 0.303Plain x-ray40/493 (2–4)22/293 (2–4)18/203.5 (2–4)p = 0.757Magnetic resonance imaging39/494 (3–5)21/294 (3.5–5)18/204 (3–5)p = 0.922Bone scan24/493 (2–4)12/293 (2–4)12/203 (2–3.75)p = 0.478PET-CT scan19/493 (3–4)10/293 (2.75–4)9/204 (3–4)p = 0.720Confidence in: 1Wound dressing choice40/494 (3.25–5)21/295 (4–5)19/204 (3–4)P = 0.065Antibiotic choice39/494 (4–5)21/294 (4–5)18/204 (3–4)P = 0.053Antibiotic duration40/494 (3–4)22/293.5 (3–4)18/204 (3–4)P = 0.638Indications for removal of infected bone41/494 (4–5)22/294.5 (4–5)19/204 (4–5)P = 0.954Indications for surgical debridement42/495 (4–5)22/295 (4–5)20/204 (4–5)P = 0.083Extent of surgical debridement42/494 (4–5)22/295 (4–5)20/204 (4–5)P = 0.190Variation in: 1Wound dressing choice41/494 (3–5)21/294 (3.5–5)20/204 (3–4)p = 0.122Antibiotic choice40/493 (2–4)21/293 (2–3.5)19/203 (2–4)p = 0.830Antibiotic duration40/493 (2–3.75)21/293 (3–4)19/203 (2–4)P = 0.320Indications for removal of infected bone38/493 (3–4)19/293 (2–3)19/203 (2–4)P = 0.525Indications for surgical debridement38/493 (2–4)20/293 (2–4)18/203 (2–4)P = 0.806Extent of surgical debridement41/493 (2–4)21/293 (2–4)20/203 (2–4)P = 0.764Need for further randomised clinical trials exploring: 1Wound dressing choice31/494 (3–4)16/294 (3–5)15/203 (3–4)p = 0.216Antibiotic choice33/493 (2–4)18/293 (2–4)15/203 (2–4)p = 0.789Antibiotic duration35/494 (3–4)18/294 (3–4)17/204 (2.5–4)p = 0.732Indications for removal of infected bone34/494 (3–5)17/294 (3–5)17/204 (2.5–5)p = 0.610Indications for surgical debridement32/494 (2–5)14/294 (2–4.25)18/204 (2.75–5)p = 0.639Extent of surgical debridement34/494 (2.75–4.25)16/294 (3–4.75)18/204 (2–4.25)p = 0.5061 Reported as median (IQR), 2 Mann-Whitney U test Opinions of managing diabetes-related foot infection and osteomyelitis 35/49 4 (3–5) 19/29 4 (3–5) 16/20 3 (2–4) 35/49 3 (2–5) 18/29 3 (2–4) 17/20 4 (2–5) 40/49 3 (2–4) 22/29 3 (2–4) 18/20 3.5 (2–4) 39/49 4 (3–5) 21/29 4 (3.5–5) 18/20 4 (3–5) 24/49 3 (2–4) 12/29 3 (2–4) 12/20 3 (2–3.75) 19/49 3 (3–4) 10/29 3 (2.75–4) 9/20 4 (3–4) 40/49 4 (3.25–5) 21/29 5 (4–5) 19/20 4 (3–4) 39/49 4 (4–5) 21/29 4 (4–5) 18/20 4 (3–4) 40/49 4 (3–4) 22/29 3.5 (3–4) 18/20 4 (3–4) 41/49 4 (4–5) 22/29 4.5 (4–5) 19/20 4 (4–5) 42/49 5 (4–5) 22/29 5 (4–5) 20/20 4 (4–5) 42/49 4 (4–5) 22/29 5 (4–5) 20/20 4 (4–5) 41/49 4 (3–5) 21/29 4 (3.5–5) 20/20 4 (3–4) 40/49 3 (2–4) 21/29 3 (2–3.5) 19/20 3 (2–4) 40/49 3 (2–3.75) 21/29 3 (3–4) 19/20 3 (2–4) 38/49 3 (3–4) 19/29 3 (2–3) 19/20 3 (2–4) 38/49 3 (2–4) 20/29 3 (2–4) 18/20 3 (2–4) 41/49 3 (2–4) 21/29 3 (2–4) 20/20 3 (2–4) 31/49 4 (3–4) 16/29 4 (3–5) 15/20 3 (3–4) 33/49 3 (2–4) 18/29 3 (2–4) 15/20 3 (2–4) 35/49 4 (3–4) 18/29 4 (3–4) 17/20 4 (2.5–4) 34/49 4 (3–5) 17/29 4 (3–5) 17/20 4 (2.5–5) 32/49 4 (2–5) 14/29 4 (2–4.25) 18/20 4 (2.75–5) 34/49 4 (2.75–4.25) 16/29 4 (3–4.75) 18/20 4 (2–4.25) 1 Reported as median (IQR), 2 Mann-Whitney U test In an optional open-ended question, respondents were asked about their management decision for revascularisation. Content analysis identified two main themes: (i) Revasularisation decision based on assessment of the severity of ischemia and (ii) Referral to vascular surgery for revasularisation decisions. Table 5 reports this in greater detail. Table 5Revascularisation decisionsRevascularisation decisionTotalVascular surgeryOrthopaedic surgerySeverity of ischemia determined via:• Toe pressures/ABI 1• Palpation of foot/lower limb pulses• Imaging modalities• Wound healing & appearance23/33 (69.7%)18/18 (100.0%)5/15 (33.3%)Referral to vascular surgery10/33 (30.3%)0/18 (0%)10/15 (66.7%)1 ABI = Ankle brachial pressure index Revascularisation decisions Severity of ischemia determined via: • Toe pressures/ABI 1 • Palpation of foot/lower limb pulses • Imaging modalities • Wound healing & appearance 1 ABI = Ankle brachial pressure index Sample quotes are given below: (i) Severity of ischemia. This theme formed the largest section of comments (23/33; 69.7%). All vascular surgeons who commented (18/18; 100.0%) on this question mentioned that they would make revascularisation decisions based on the severity of ischemia. These were determined using a combination of imaging modalities, ankle and toe Doppler pressures, palpation of pulses and/or based on the healing and appearance of the wound itself. “Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29). “Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29). “Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22). “Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22). (ii) Referral to vascular surgery. In contrast, a majority of orthopaedic surgeons who commented on this question mentioned that they would refer to vascular surgery to make revascularisation decisions (10/15; 66.7%). “Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15). “Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15). Private vs. public setting differences The responses of surgeons that mainly worked in public hospitals were not significantly different to those mainly working in the private sector, with one exception (Additional File 2). Surgeons working privately were more likely to see value (4/5 on a 5-point Likert rating scale) in RCTs testing different wound dressings compared to those working in the public setting (3/5) (p = 0.040). The responses of surgeons that mainly worked in public hospitals were not significantly different to those mainly working in the private sector, with one exception (Additional File 2). Surgeons working privately were more likely to see value (4/5 on a 5-point Likert rating scale) in RCTs testing different wound dressings compared to those working in the public setting (3/5) (p = 0.040).
Conclusions
In conclusion, this survey suggests that Australian and New Zealand vascular and orthopaedic surgeons have relatively similar management approaches for DFI. A statistically significant difference in the preferred wound sampling method was noted. Few of the responding surgeons used best-practice guidelines to guide management of DFI. There was a perceived moderate variation in clinical management and moderate need for clinical trials investigating key aspects of DFI management. Our findings highlights that the available evidence supporting different treatments and the related guidelines for the surgical managing of DFI need to be advanced.
[ "Background", "Methods", "Study design", "Survey dissemination", "Data analysis", "Participants", "Current management practices", "Opinions regarding clinical management and perceptions of further research", "Private vs. public setting differences", "" ]
[ "Foot infection is a common complication of diabetes and varies in severity [1, 2]. Severe diabetes-related foot infection (DFI) often precipitates hospital admission and requirement for lower extremity amputation [3]. Management of DFI is challenging due to difficulties with diagnosis, limited evidence from high quality clinical trials and heterogeneity in clinical presentation [3]. Bone biopsy, for example, is the gold-standard method to diagnose diabetes-related foot osteomyelitis and to determine choice of antibiotic but is highly invasive and not always appropriate to use [3, 4]. International best-practice guidelines for management of DFI recognise that the evidence to support recommendation is limited due to the lack of high-quality clinical trials [3]. Only one reported randomised clinical trial has tested whether surgical or medical treatment is superior for treating diabetes-related foot osteomyelitis [5]. This trial was too small with too short follow-up to clarify the most appropriate management [5].\nThe lack of high quality evidence means that there is limited consensus to guide optimal management of DFI, particularly in cases of severe DFI and diabetes-related foot osteomyelitis [6–8]. This is echoed in a recent survey of Australian and New Zealand infectious diseases clinicians which reported limited consensus on how DFI was treated amongst this group of clinicians [9]. In Australia and New Zealand, surgical management of DFI is mainly performed by vascular and orthopaedic surgeons, but these specialties were not included in the previous survey on this topic [10, 11]. The aim of this study was to discover vascular and orthopaedic surgeons’ opinions about the management of DFI. Due to the prior evidence of variation in practice in Australia and New Zealand, the survey was focused on vascular and orthopaedic surgeons practicing in this region.", " Study design This descriptive cross-sectional study administered an online survey through the Qualtrics platform between January 2021 and April 2021. The survey was piloted and refined in consultation with vascular surgeons with experience in managing DFI. The final 21-question survey had three sections: Participant demographics (5 questions); management of DFI and osteomyelitis (10 questions); clinical consensus and areas for further research (6 questions). The survey included both multiple choice and free-text questions to facilitate in-depth responses. A full copy of the survey is included in Additional File 1. Likert scales (5-point rating scale) were used to gauge perceived usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials.\nThis descriptive cross-sectional study administered an online survey through the Qualtrics platform between January 2021 and April 2021. The survey was piloted and refined in consultation with vascular surgeons with experience in managing DFI. The final 21-question survey had three sections: Participant demographics (5 questions); management of DFI and osteomyelitis (10 questions); clinical consensus and areas for further research (6 questions). The survey included both multiple choice and free-text questions to facilitate in-depth responses. A full copy of the survey is included in Additional File 1. Likert scales (5-point rating scale) were used to gauge perceived usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials.\n Survey dissemination A purposive sampling technique was used to distribute the online survey. Professional associations whose members were vascular or orthopaedic surgeons and likely to be involved in the surgical management of DFI were approached to assist with disseminating the survey in November 2020. The associations were requested to distribute the survey link to their members in the first quarter of 2021, with those agreeing to assist in dissemination including Diabetes Feet Australia, Australian Orthopaedic Association, Australia and New Zealand Society for Vascular Surgery, the Queensland Statewide Diabetes Clinical Network and New South Wales Diabetes and Endocrine Network. Organisations did not send out repeat invitations to complete the survey, and the authors did not contact individual hospital departments or staff to complete the survey.\nA purposive sampling technique was used to distribute the online survey. Professional associations whose members were vascular or orthopaedic surgeons and likely to be involved in the surgical management of DFI were approached to assist with disseminating the survey in November 2020. The associations were requested to distribute the survey link to their members in the first quarter of 2021, with those agreeing to assist in dissemination including Diabetes Feet Australia, Australian Orthopaedic Association, Australia and New Zealand Society for Vascular Surgery, the Queensland Statewide Diabetes Clinical Network and New South Wales Diabetes and Endocrine Network. Organisations did not send out repeat invitations to complete the survey, and the authors did not contact individual hospital departments or staff to complete the survey.\n Data analysis Survey responses were deemed eligible for inclusion if at least 50% of the questions were completed. Descriptive analysis was conducted to determine participant characteristics and to sum their responses. The Mann-Whitney U and Yates Continuity Correction tests were used to assess statistical differences between the responses of the vascular and orthopaedic surgical specialties, and also between responses of surgeons working in the public and private setting. The Fisher-Freeman-Halton test was used to analyse contingency tables greater than 2 × 2 and where there were expected cell counts of less than 5. A p-value of < 0.05 was considered statistically significant. Statistical analyses were performed using SPSS V25 (IBM Corp, Armonk, NY, USA). Open-text responses were analysed using inductive content analysis, performed by LS, who read all responses and generated categories to provide a description of the responses. A second author (AD) reviewed and discussed these categories with the first author, with disagreements resolved by consensus when necessary. As not all survey respondents answered every question, the number of respondents answering a question was used as the denominator for the relevant results of that question and percentages calculated using this denominator.\nSurvey responses were deemed eligible for inclusion if at least 50% of the questions were completed. Descriptive analysis was conducted to determine participant characteristics and to sum their responses. The Mann-Whitney U and Yates Continuity Correction tests were used to assess statistical differences between the responses of the vascular and orthopaedic surgical specialties, and also between responses of surgeons working in the public and private setting. The Fisher-Freeman-Halton test was used to analyse contingency tables greater than 2 × 2 and where there were expected cell counts of less than 5. A p-value of < 0.05 was considered statistically significant. Statistical analyses were performed using SPSS V25 (IBM Corp, Armonk, NY, USA). Open-text responses were analysed using inductive content analysis, performed by LS, who read all responses and generated categories to provide a description of the responses. A second author (AD) reviewed and discussed these categories with the first author, with disagreements resolved by consensus when necessary. As not all survey respondents answered every question, the number of respondents answering a question was used as the denominator for the relevant results of that question and percentages calculated using this denominator.", "This descriptive cross-sectional study administered an online survey through the Qualtrics platform between January 2021 and April 2021. The survey was piloted and refined in consultation with vascular surgeons with experience in managing DFI. The final 21-question survey had three sections: Participant demographics (5 questions); management of DFI and osteomyelitis (10 questions); clinical consensus and areas for further research (6 questions). The survey included both multiple choice and free-text questions to facilitate in-depth responses. A full copy of the survey is included in Additional File 1. Likert scales (5-point rating scale) were used to gauge perceived usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials.", "A purposive sampling technique was used to distribute the online survey. Professional associations whose members were vascular or orthopaedic surgeons and likely to be involved in the surgical management of DFI were approached to assist with disseminating the survey in November 2020. The associations were requested to distribute the survey link to their members in the first quarter of 2021, with those agreeing to assist in dissemination including Diabetes Feet Australia, Australian Orthopaedic Association, Australia and New Zealand Society for Vascular Surgery, the Queensland Statewide Diabetes Clinical Network and New South Wales Diabetes and Endocrine Network. Organisations did not send out repeat invitations to complete the survey, and the authors did not contact individual hospital departments or staff to complete the survey.", "Survey responses were deemed eligible for inclusion if at least 50% of the questions were completed. Descriptive analysis was conducted to determine participant characteristics and to sum their responses. The Mann-Whitney U and Yates Continuity Correction tests were used to assess statistical differences between the responses of the vascular and orthopaedic surgical specialties, and also between responses of surgeons working in the public and private setting. The Fisher-Freeman-Halton test was used to analyse contingency tables greater than 2 × 2 and where there were expected cell counts of less than 5. A p-value of < 0.05 was considered statistically significant. Statistical analyses were performed using SPSS V25 (IBM Corp, Armonk, NY, USA). Open-text responses were analysed using inductive content analysis, performed by LS, who read all responses and generated categories to provide a description of the responses. A second author (AD) reviewed and discussed these categories with the first author, with disagreements resolved by consensus when necessary. As not all survey respondents answered every question, the number of respondents answering a question was used as the denominator for the relevant results of that question and percentages calculated using this denominator.", "A total of 49 survey responses were received, with 42 being complete and seven including responses to at least 50% of questions. Participant characteristics are shown in Table 1. 29 responses (59.2%) were from vascular surgeons and 20 responses (40.8%) were from orthopaedic surgeons. Most (46; 93.9%) were Royal Australasian College of Surgeons accredited consultants.\n\nTable 1Characteristics of the forty nine participantsSurgical specialtyVascular surgeryOrthopaedic surgery29 (59.2%)20 (40.8%)LocationQueenslandNew South WalesSouth AustraliaTasmaniaVictoriaWestern AustraliaAustralian Capital TerritoryNew Zealand29 (59.2%)5 (10.2%)2 (4.1%)1 (2.0%)4 (8.2%)3 (6.1%)2 (4.1%)3 (6.1%)Primary place of workPublic hospitalPrivate practice31 (63.3%)18 (36.7%)Years of medical experience27.0 (9.4)DesignationRACS accredited ConsultantOthers46 (93.9%)3 (6.1%)Data presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons\nCharacteristics of the forty nine participants\nLocation\nQueensland\nNew South Wales\nSouth Australia\nTasmania\nVictoria\nWestern Australia\nAustralian Capital Territory\nNew Zealand\n29 (59.2%)\n5 (10.2%)\n2 (4.1%)\n1 (2.0%)\n4 (8.2%)\n3 (6.1%)\n2 (4.1%)\n3 (6.1%)\nPrimary place of work\nPublic hospital\nPrivate practice\n31 (63.3%)\n18 (36.7%)\nDesignation\nRACS accredited Consultant\nOthers\n46 (93.9%)\n3 (6.1%)\nData presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons", "Responses to questions on current management practices are summarised in Table 2. The severity of infection was determined most commonly by the degree of tissue necrosis (30/49; 61.2%) and/or the extent of erythema (27/49; 55.1%). International classification systems were rarely used to determine the extent of infection (13/49; 26.5%). The most common wound sampling method for guiding the choice of antibiotic was the wound swab (27/49; 55.1%), followed by tissue or bone biopsy (17/49; 34.7%). There was a statistically significant difference (Fisher-Freeman-Halton = 14.512, p < 0.001) in the sampling method preferred by vascular and orthopaedic surgeons. Vascular surgeons (22/29; 75.9%) preferred wound swabs but orthopaedic surgeons (13/20; 65.0%) preferred tissue or bone biopsies to guide antibiotic choice for severe DFI. Most respondents (35/49; 71.4%) did not use a guideline to assist their management of DFI. This finding was consistent in both surgical specialties (x2 = 0.610, p = 0.435).\n\nTable 2Current management practicesTotalVascular surgeonsOrthopaedic surgeonsp-valueDetermining extent of infection prior to surgical treatment1Based on international classification system13/49 (26.5%)9/29 (31.0%)4/20 (20.0%)2Based on extent of erythema27/49 (55.1%)18/29 (62.1%)9/20 (45.0%)Based on extent of skin with raised temps19/49 (38.8%)14/29 (48.3%)5/20 (25.0%)Based on amount and type of wound exudate21/49 (42.9%)14/29 (48.3%)7/20 (35.0%)Based on extent of swelling20/49 (40.8%)15/29 (51.7%)5/20 (25.0%)Based on degree of tissue necrosis30/49 (61.2%)19/29 (65.5%)11/20 (55.0%)Others18/49 (36.7%)6/29 (20.7%)12/20 (60.0%)Wound sampling prior to surgical treatmentTissue or bone biopsy17/49 (34.7%)4/29 (13.8%)13/20 (65.0%)p < 0.001 3Wound swab27/49 (55.1%)22/29 (75.9%)5/20 (25.0%)Others5/49 (10.2%)3/29 (10.3%)2/20 (10.0%)Guideline usageYes14/49 (28.6%)10/29 (34.5%)4/20 (7.4%)P = 0.435 4No35/49 (71.4%)19/29 (65.5%)16/20 (29.6%)Antibiotic choicePiperacillin/Tazobactam21/41 (51.2%)13/22 (59.1%)8/19 (42.1%)p = 0.871 3Amoxicillin/Clavulanic acid8/41 (19.5%)4/22 (18.2%)4/19 (21.1%)Cefazolin5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Defer to guidelines or infectious diseases5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Other antibiotics2/41 (4.9%)1/22 (4.5%)1/19 (5.3%)Antibiotic routeIV31/40 (77.5%)18/21 (85.7%)13/19 (68.4%)p = 0.518 3IV + Oral2/40 (5.0%)1/21 (4.8%)1/19 (5.3%)Defer to guidelines or infectious diseases physicians5/40 (12.5%)2/21 (9.5%)3/19 (15.8%)Others2/40 (5.0%)0/21 (0.0%)2/19 (10.5%)Wound dressing selection1Iodine-based dressings26/42 (61.9%)14/22 (63.6%)12/20 (60.0%)2Betadine paint10/42 (23.8%)9/22 (40.9%)1/20 (5.0%)Saline soaked packing19/42 (45.2%)12/22 (54.5%)7/20 (35.0%)Betadine soaked packing13/42 (31.0%)10/22 (45.5%)3/20 (15.0%)Chlorohexidine-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Silver-based dressings23/42 (54.8%)11/22 (50.0%)12/20 (60.0%)Honey-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Negative pressure therapy38/42 (90.5%)19/22 (86.4%)19/20 (95.0%)No dressing2/42 (4.8%)2/22 (9.1%)0/20 (0.0%)Others9/42 (21.4%)8/22 (36.4%)1/20 (5.0%)Wound closure after debridement1Healing by primary closure19/42 (45.2%)10/22 (45.5%)9/20 (45.0%)2Healing by delayed primary closure27/42 (64.3%)13/22 (59.1%)14/20 (70.0%)Superficial skin graft18/42 (42.9%)13/22 (59.1%)5/20 (25.0%)Healing by secondary intention39/42 (92.9%)20/22 (90.9%)19/20 (95.0%)1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction\nCurrent management practices\n1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction\nRespondents who used guidelines were also asked to detail what they thought was lacking in the current guidelines. Three main themes were identified from their responses: (i) Treatment-based decisions, (ii) Holistic management and (iii) Local resource considerations. Table 3 reports this in greater detail.\n\nTable 3Additional areas to be covered in guidelinesAdditional areas to be covered in guidelinesnTreatment-based decisions• Indications for conservative vs. surgical management• Optimal offloading and biomechanical considerations• Vascular intervention• Imaging criteria• Charcot vs. infection considerations9Holistic management• Co-morbidities• Indicators of function• Patient education• Dietary management of diabetes7Local resource consideration• Distance to nearest hospital• Availability of podiatry services2\nAdditional areas to be covered in guidelines\nTreatment-based decisions\n• Indications for conservative vs. surgical management\n• Optimal offloading and biomechanical considerations\n• Vascular intervention\n• Imaging criteria\n• Charcot vs. infection considerations\nHolistic management\n• Co-morbidities\n• Indicators of function\n• Patient education\n• Dietary management of diabetes\nLocal resource consideration\n• Distance to nearest hospital\n• Availability of podiatry services\nSample quotes are given below to illustrate these themes:\n(i) Treatment-based decisions.\n\n“The timing of debridement is not clear” (Orthopaedic surgeon 11).\n\n“The timing of debridement is not clear” (Orthopaedic surgeon 11).\n\n“The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7).\n\n“The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7).\n(ii) Holistic management.\n\n“Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21).\n\n“Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21).\n\n“Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15).\n\n“Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15).\n(iii) Local resource considerations.\n\n“Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17).\n\n“Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17).\nHalf (21/41; 51.2%) of the respondents indicated that piperacillin combined with tazobactam was their preferred choice of antibiotic for the empirical management of severe DFI. Most (31/40; 77.5%) respondents preferred an intravenous route of antibiotic administration. Few respondents indicated that their choice (5/41; 12.2%) and route (5/40; 12.5%) of antibiotic was based on guidelines or on advice from infectious diseases physicians. There was no statistical difference in the choice and route of delivery for antibiotics between orthopaedic and vascular surgery specialties (Fisher-Freeman-Halton = 1.799, p = 0.871; Fisher-Freeman-Halton = 2.832, p = 0.518). Negative pressure dressings were the most common method used to manage open wounds (38/42; 90.5%) with most wounds left to heal by secondary intention (39/42; 92.9%).", "Table 4 summarises respondents’ opinions about the usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials. Results were reported as median (IQR). The probe-to-bone test (4/5 [3–5]) and magnetic resonance imaging (4/5 [3–5]) were seen as the most useful ways to diagnose osteomyelitis and this was not significantly different between the vascular and orthopaedic surgeons (p = 0.082, p = 0.922). Respondents were confident about making management decisions with a median confidence score of 4 out of 5 in all aspects covered. Respondents indicated greatest confidence in the indications for surgical debridement (5/5 [4, 5]). Respondents felt that there was moderate variation (i.e. median variation score of 3) between specialists in most management decisions. The choice of wound dressing was felt to be particularly variable (4/5 [3–5]). Respondents perceived moderate need (minimum median score of 3) for further randomised controlled trials exploring key aspects of DFI management. There was no statistically significant difference between the response of vascular and orthopaedic surgeons.\n\nTable 4Opinions of managing diabetes-related foot infection and osteomyelitisTotalVascular surgeonsOrthopaedic surgeonsp-value 2Usefulness for diagnosing diabetic foot osteomyelitis1Probe-to-bone test35/494 (3–5)19/294 (3–5)16/203 (2–4)p = 0.082Bone biopsy35/493 (2–5)18/293 (2–4)17/204 (2–5)p = 0.303Plain x-ray40/493 (2–4)22/293 (2–4)18/203.5 (2–4)p = 0.757Magnetic resonance imaging39/494 (3–5)21/294 (3.5–5)18/204 (3–5)p = 0.922Bone scan24/493 (2–4)12/293 (2–4)12/203 (2–3.75)p = 0.478PET-CT scan19/493 (3–4)10/293 (2.75–4)9/204 (3–4)p = 0.720Confidence in: 1Wound dressing choice40/494 (3.25–5)21/295 (4–5)19/204 (3–4)P = 0.065Antibiotic choice39/494 (4–5)21/294 (4–5)18/204 (3–4)P = 0.053Antibiotic duration40/494 (3–4)22/293.5 (3–4)18/204 (3–4)P = 0.638Indications for removal of infected bone41/494 (4–5)22/294.5 (4–5)19/204 (4–5)P = 0.954Indications for surgical debridement42/495 (4–5)22/295 (4–5)20/204 (4–5)P = 0.083Extent of surgical debridement42/494 (4–5)22/295 (4–5)20/204 (4–5)P = 0.190Variation in: 1Wound dressing choice41/494 (3–5)21/294 (3.5–5)20/204 (3–4)p = 0.122Antibiotic choice40/493 (2–4)21/293 (2–3.5)19/203 (2–4)p = 0.830Antibiotic duration40/493 (2–3.75)21/293 (3–4)19/203 (2–4)P = 0.320Indications for removal of infected bone38/493 (3–4)19/293 (2–3)19/203 (2–4)P = 0.525Indications for surgical debridement38/493 (2–4)20/293 (2–4)18/203 (2–4)P = 0.806Extent of surgical debridement41/493 (2–4)21/293 (2–4)20/203 (2–4)P = 0.764Need for further randomised clinical trials exploring: 1Wound dressing choice31/494 (3–4)16/294 (3–5)15/203 (3–4)p = 0.216Antibiotic choice33/493 (2–4)18/293 (2–4)15/203 (2–4)p = 0.789Antibiotic duration35/494 (3–4)18/294 (3–4)17/204 (2.5–4)p = 0.732Indications for removal of infected bone34/494 (3–5)17/294 (3–5)17/204 (2.5–5)p = 0.610Indications for surgical debridement32/494 (2–5)14/294 (2–4.25)18/204 (2.75–5)p = 0.639Extent of surgical debridement34/494 (2.75–4.25)16/294 (3–4.75)18/204 (2–4.25)p = 0.5061 Reported as median (IQR), 2 Mann-Whitney U test\nOpinions of managing diabetes-related foot infection and osteomyelitis\n35/49\n4 (3–5)\n19/29\n4 (3–5)\n16/20\n3 (2–4)\n35/49\n3 (2–5)\n18/29\n3 (2–4)\n17/20\n4 (2–5)\n40/49\n3 (2–4)\n22/29\n3 (2–4)\n18/20\n3.5 (2–4)\n39/49\n4 (3–5)\n21/29\n4 (3.5–5)\n18/20\n4 (3–5)\n24/49\n3 (2–4)\n12/29\n3 (2–4)\n12/20\n3 (2–3.75)\n19/49\n3 (3–4)\n10/29\n3 (2.75–4)\n9/20\n4 (3–4)\n40/49\n4 (3.25–5)\n21/29\n5 (4–5)\n19/20\n4 (3–4)\n39/49\n4 (4–5)\n21/29\n4 (4–5)\n18/20\n4 (3–4)\n40/49\n4 (3–4)\n22/29\n3.5 (3–4)\n18/20\n4 (3–4)\n41/49\n4 (4–5)\n22/29\n4.5 (4–5)\n19/20\n4 (4–5)\n42/49\n5 (4–5)\n22/29\n5 (4–5)\n20/20\n4 (4–5)\n42/49\n4 (4–5)\n22/29\n5 (4–5)\n20/20\n4 (4–5)\n41/49\n4 (3–5)\n21/29\n4 (3.5–5)\n20/20\n4 (3–4)\n40/49\n3 (2–4)\n21/29\n3 (2–3.5)\n19/20\n3 (2–4)\n40/49\n3 (2–3.75)\n21/29\n3 (3–4)\n19/20\n3 (2–4)\n38/49\n3 (3–4)\n19/29\n3 (2–3)\n19/20\n3 (2–4)\n38/49\n3 (2–4)\n20/29\n3 (2–4)\n18/20\n3 (2–4)\n41/49\n3 (2–4)\n21/29\n3 (2–4)\n20/20\n3 (2–4)\n31/49\n4 (3–4)\n16/29\n4 (3–5)\n15/20\n3 (3–4)\n33/49\n3 (2–4)\n18/29\n3 (2–4)\n15/20\n3 (2–4)\n35/49\n4 (3–4)\n18/29\n4 (3–4)\n17/20\n4 (2.5–4)\n34/49\n4 (3–5)\n17/29\n4 (3–5)\n17/20\n4 (2.5–5)\n32/49\n4 (2–5)\n14/29\n4 (2–4.25)\n18/20\n4 (2.75–5)\n34/49\n4 (2.75–4.25)\n16/29\n4 (3–4.75)\n18/20\n4 (2–4.25)\n1 Reported as median (IQR), 2 Mann-Whitney U test\nIn an optional open-ended question, respondents were asked about their management decision for revascularisation. Content analysis identified two main themes: (i) Revasularisation decision based on assessment of the severity of ischemia and (ii) Referral to vascular surgery for revasularisation decisions. Table 5 reports this in greater detail.\n\nTable 5Revascularisation decisionsRevascularisation decisionTotalVascular surgeryOrthopaedic surgerySeverity of ischemia determined via:• Toe pressures/ABI 1• Palpation of foot/lower limb pulses• Imaging modalities• Wound healing & appearance23/33 (69.7%)18/18 (100.0%)5/15 (33.3%)Referral to vascular surgery10/33 (30.3%)0/18 (0%)10/15 (66.7%)1 ABI = Ankle brachial pressure index\nRevascularisation decisions\nSeverity of ischemia determined via:\n• Toe pressures/ABI 1\n• Palpation of foot/lower limb pulses\n• Imaging modalities\n• Wound healing & appearance\n1 ABI = Ankle brachial pressure index\nSample quotes are given below:\n(i) Severity of ischemia.\nThis theme formed the largest section of comments (23/33; 69.7%). All vascular surgeons who commented (18/18; 100.0%) on this question mentioned that they would make revascularisation decisions based on the severity of ischemia. These were determined using a combination of imaging modalities, ankle and toe Doppler pressures, palpation of pulses and/or based on the healing and appearance of the wound itself.\n\n“Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29).\n\n“Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29).\n\n“Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22).\n\n“Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22).\n(ii) Referral to vascular surgery.\nIn contrast, a majority of orthopaedic surgeons who commented on this question mentioned that they would refer to vascular surgery to make revascularisation decisions (10/15; 66.7%).\n\n“Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15).\n\n“Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15).", "The responses of surgeons that mainly worked in public hospitals were not significantly different to those mainly working in the private sector, with one exception (Additional File 2). Surgeons working privately were more likely to see value (4/5 on a 5-point Likert rating scale) in RCTs testing different wound dressings compared to those working in the public setting (3/5) (p = 0.040).", "\nAdditional file 1.Containing the survey questions.Additional file 2.Containing tables comparing private and public setting differences are provided.\nContaining the survey questions.\nContaining tables comparing private and public setting differences are provided." ]
[ null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Study design", "Survey dissemination", "Data analysis", "Results", "Participants", "Current management practices", "Opinions regarding clinical management and perceptions of further research", "Private vs. public setting differences", "Discussion", "Conclusions", "Supplementary information", "" ]
[ "Foot infection is a common complication of diabetes and varies in severity [1, 2]. Severe diabetes-related foot infection (DFI) often precipitates hospital admission and requirement for lower extremity amputation [3]. Management of DFI is challenging due to difficulties with diagnosis, limited evidence from high quality clinical trials and heterogeneity in clinical presentation [3]. Bone biopsy, for example, is the gold-standard method to diagnose diabetes-related foot osteomyelitis and to determine choice of antibiotic but is highly invasive and not always appropriate to use [3, 4]. International best-practice guidelines for management of DFI recognise that the evidence to support recommendation is limited due to the lack of high-quality clinical trials [3]. Only one reported randomised clinical trial has tested whether surgical or medical treatment is superior for treating diabetes-related foot osteomyelitis [5]. This trial was too small with too short follow-up to clarify the most appropriate management [5].\nThe lack of high quality evidence means that there is limited consensus to guide optimal management of DFI, particularly in cases of severe DFI and diabetes-related foot osteomyelitis [6–8]. This is echoed in a recent survey of Australian and New Zealand infectious diseases clinicians which reported limited consensus on how DFI was treated amongst this group of clinicians [9]. In Australia and New Zealand, surgical management of DFI is mainly performed by vascular and orthopaedic surgeons, but these specialties were not included in the previous survey on this topic [10, 11]. The aim of this study was to discover vascular and orthopaedic surgeons’ opinions about the management of DFI. Due to the prior evidence of variation in practice in Australia and New Zealand, the survey was focused on vascular and orthopaedic surgeons practicing in this region.", " Study design This descriptive cross-sectional study administered an online survey through the Qualtrics platform between January 2021 and April 2021. The survey was piloted and refined in consultation with vascular surgeons with experience in managing DFI. The final 21-question survey had three sections: Participant demographics (5 questions); management of DFI and osteomyelitis (10 questions); clinical consensus and areas for further research (6 questions). The survey included both multiple choice and free-text questions to facilitate in-depth responses. A full copy of the survey is included in Additional File 1. Likert scales (5-point rating scale) were used to gauge perceived usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials.\nThis descriptive cross-sectional study administered an online survey through the Qualtrics platform between January 2021 and April 2021. The survey was piloted and refined in consultation with vascular surgeons with experience in managing DFI. The final 21-question survey had three sections: Participant demographics (5 questions); management of DFI and osteomyelitis (10 questions); clinical consensus and areas for further research (6 questions). The survey included both multiple choice and free-text questions to facilitate in-depth responses. A full copy of the survey is included in Additional File 1. Likert scales (5-point rating scale) were used to gauge perceived usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials.\n Survey dissemination A purposive sampling technique was used to distribute the online survey. Professional associations whose members were vascular or orthopaedic surgeons and likely to be involved in the surgical management of DFI were approached to assist with disseminating the survey in November 2020. The associations were requested to distribute the survey link to their members in the first quarter of 2021, with those agreeing to assist in dissemination including Diabetes Feet Australia, Australian Orthopaedic Association, Australia and New Zealand Society for Vascular Surgery, the Queensland Statewide Diabetes Clinical Network and New South Wales Diabetes and Endocrine Network. Organisations did not send out repeat invitations to complete the survey, and the authors did not contact individual hospital departments or staff to complete the survey.\nA purposive sampling technique was used to distribute the online survey. Professional associations whose members were vascular or orthopaedic surgeons and likely to be involved in the surgical management of DFI were approached to assist with disseminating the survey in November 2020. The associations were requested to distribute the survey link to their members in the first quarter of 2021, with those agreeing to assist in dissemination including Diabetes Feet Australia, Australian Orthopaedic Association, Australia and New Zealand Society for Vascular Surgery, the Queensland Statewide Diabetes Clinical Network and New South Wales Diabetes and Endocrine Network. Organisations did not send out repeat invitations to complete the survey, and the authors did not contact individual hospital departments or staff to complete the survey.\n Data analysis Survey responses were deemed eligible for inclusion if at least 50% of the questions were completed. Descriptive analysis was conducted to determine participant characteristics and to sum their responses. The Mann-Whitney U and Yates Continuity Correction tests were used to assess statistical differences between the responses of the vascular and orthopaedic surgical specialties, and also between responses of surgeons working in the public and private setting. The Fisher-Freeman-Halton test was used to analyse contingency tables greater than 2 × 2 and where there were expected cell counts of less than 5. A p-value of < 0.05 was considered statistically significant. Statistical analyses were performed using SPSS V25 (IBM Corp, Armonk, NY, USA). Open-text responses were analysed using inductive content analysis, performed by LS, who read all responses and generated categories to provide a description of the responses. A second author (AD) reviewed and discussed these categories with the first author, with disagreements resolved by consensus when necessary. As not all survey respondents answered every question, the number of respondents answering a question was used as the denominator for the relevant results of that question and percentages calculated using this denominator.\nSurvey responses were deemed eligible for inclusion if at least 50% of the questions were completed. Descriptive analysis was conducted to determine participant characteristics and to sum their responses. The Mann-Whitney U and Yates Continuity Correction tests were used to assess statistical differences between the responses of the vascular and orthopaedic surgical specialties, and also between responses of surgeons working in the public and private setting. The Fisher-Freeman-Halton test was used to analyse contingency tables greater than 2 × 2 and where there were expected cell counts of less than 5. A p-value of < 0.05 was considered statistically significant. Statistical analyses were performed using SPSS V25 (IBM Corp, Armonk, NY, USA). Open-text responses were analysed using inductive content analysis, performed by LS, who read all responses and generated categories to provide a description of the responses. A second author (AD) reviewed and discussed these categories with the first author, with disagreements resolved by consensus when necessary. As not all survey respondents answered every question, the number of respondents answering a question was used as the denominator for the relevant results of that question and percentages calculated using this denominator.", "This descriptive cross-sectional study administered an online survey through the Qualtrics platform between January 2021 and April 2021. The survey was piloted and refined in consultation with vascular surgeons with experience in managing DFI. The final 21-question survey had three sections: Participant demographics (5 questions); management of DFI and osteomyelitis (10 questions); clinical consensus and areas for further research (6 questions). The survey included both multiple choice and free-text questions to facilitate in-depth responses. A full copy of the survey is included in Additional File 1. Likert scales (5-point rating scale) were used to gauge perceived usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials.", "A purposive sampling technique was used to distribute the online survey. Professional associations whose members were vascular or orthopaedic surgeons and likely to be involved in the surgical management of DFI were approached to assist with disseminating the survey in November 2020. The associations were requested to distribute the survey link to their members in the first quarter of 2021, with those agreeing to assist in dissemination including Diabetes Feet Australia, Australian Orthopaedic Association, Australia and New Zealand Society for Vascular Surgery, the Queensland Statewide Diabetes Clinical Network and New South Wales Diabetes and Endocrine Network. Organisations did not send out repeat invitations to complete the survey, and the authors did not contact individual hospital departments or staff to complete the survey.", "Survey responses were deemed eligible for inclusion if at least 50% of the questions were completed. Descriptive analysis was conducted to determine participant characteristics and to sum their responses. The Mann-Whitney U and Yates Continuity Correction tests were used to assess statistical differences between the responses of the vascular and orthopaedic surgical specialties, and also between responses of surgeons working in the public and private setting. The Fisher-Freeman-Halton test was used to analyse contingency tables greater than 2 × 2 and where there were expected cell counts of less than 5. A p-value of < 0.05 was considered statistically significant. Statistical analyses were performed using SPSS V25 (IBM Corp, Armonk, NY, USA). Open-text responses were analysed using inductive content analysis, performed by LS, who read all responses and generated categories to provide a description of the responses. A second author (AD) reviewed and discussed these categories with the first author, with disagreements resolved by consensus when necessary. As not all survey respondents answered every question, the number of respondents answering a question was used as the denominator for the relevant results of that question and percentages calculated using this denominator.", " Participants A total of 49 survey responses were received, with 42 being complete and seven including responses to at least 50% of questions. Participant characteristics are shown in Table 1. 29 responses (59.2%) were from vascular surgeons and 20 responses (40.8%) were from orthopaedic surgeons. Most (46; 93.9%) were Royal Australasian College of Surgeons accredited consultants.\n\nTable 1Characteristics of the forty nine participantsSurgical specialtyVascular surgeryOrthopaedic surgery29 (59.2%)20 (40.8%)LocationQueenslandNew South WalesSouth AustraliaTasmaniaVictoriaWestern AustraliaAustralian Capital TerritoryNew Zealand29 (59.2%)5 (10.2%)2 (4.1%)1 (2.0%)4 (8.2%)3 (6.1%)2 (4.1%)3 (6.1%)Primary place of workPublic hospitalPrivate practice31 (63.3%)18 (36.7%)Years of medical experience27.0 (9.4)DesignationRACS accredited ConsultantOthers46 (93.9%)3 (6.1%)Data presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons\nCharacteristics of the forty nine participants\nLocation\nQueensland\nNew South Wales\nSouth Australia\nTasmania\nVictoria\nWestern Australia\nAustralian Capital Territory\nNew Zealand\n29 (59.2%)\n5 (10.2%)\n2 (4.1%)\n1 (2.0%)\n4 (8.2%)\n3 (6.1%)\n2 (4.1%)\n3 (6.1%)\nPrimary place of work\nPublic hospital\nPrivate practice\n31 (63.3%)\n18 (36.7%)\nDesignation\nRACS accredited Consultant\nOthers\n46 (93.9%)\n3 (6.1%)\nData presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons\nA total of 49 survey responses were received, with 42 being complete and seven including responses to at least 50% of questions. Participant characteristics are shown in Table 1. 29 responses (59.2%) were from vascular surgeons and 20 responses (40.8%) were from orthopaedic surgeons. Most (46; 93.9%) were Royal Australasian College of Surgeons accredited consultants.\n\nTable 1Characteristics of the forty nine participantsSurgical specialtyVascular surgeryOrthopaedic surgery29 (59.2%)20 (40.8%)LocationQueenslandNew South WalesSouth AustraliaTasmaniaVictoriaWestern AustraliaAustralian Capital TerritoryNew Zealand29 (59.2%)5 (10.2%)2 (4.1%)1 (2.0%)4 (8.2%)3 (6.1%)2 (4.1%)3 (6.1%)Primary place of workPublic hospitalPrivate practice31 (63.3%)18 (36.7%)Years of medical experience27.0 (9.4)DesignationRACS accredited ConsultantOthers46 (93.9%)3 (6.1%)Data presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons\nCharacteristics of the forty nine participants\nLocation\nQueensland\nNew South Wales\nSouth Australia\nTasmania\nVictoria\nWestern Australia\nAustralian Capital Territory\nNew Zealand\n29 (59.2%)\n5 (10.2%)\n2 (4.1%)\n1 (2.0%)\n4 (8.2%)\n3 (6.1%)\n2 (4.1%)\n3 (6.1%)\nPrimary place of work\nPublic hospital\nPrivate practice\n31 (63.3%)\n18 (36.7%)\nDesignation\nRACS accredited Consultant\nOthers\n46 (93.9%)\n3 (6.1%)\nData presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons\n Current management practices Responses to questions on current management practices are summarised in Table 2. The severity of infection was determined most commonly by the degree of tissue necrosis (30/49; 61.2%) and/or the extent of erythema (27/49; 55.1%). International classification systems were rarely used to determine the extent of infection (13/49; 26.5%). The most common wound sampling method for guiding the choice of antibiotic was the wound swab (27/49; 55.1%), followed by tissue or bone biopsy (17/49; 34.7%). There was a statistically significant difference (Fisher-Freeman-Halton = 14.512, p < 0.001) in the sampling method preferred by vascular and orthopaedic surgeons. Vascular surgeons (22/29; 75.9%) preferred wound swabs but orthopaedic surgeons (13/20; 65.0%) preferred tissue or bone biopsies to guide antibiotic choice for severe DFI. Most respondents (35/49; 71.4%) did not use a guideline to assist their management of DFI. This finding was consistent in both surgical specialties (x2 = 0.610, p = 0.435).\n\nTable 2Current management practicesTotalVascular surgeonsOrthopaedic surgeonsp-valueDetermining extent of infection prior to surgical treatment1Based on international classification system13/49 (26.5%)9/29 (31.0%)4/20 (20.0%)2Based on extent of erythema27/49 (55.1%)18/29 (62.1%)9/20 (45.0%)Based on extent of skin with raised temps19/49 (38.8%)14/29 (48.3%)5/20 (25.0%)Based on amount and type of wound exudate21/49 (42.9%)14/29 (48.3%)7/20 (35.0%)Based on extent of swelling20/49 (40.8%)15/29 (51.7%)5/20 (25.0%)Based on degree of tissue necrosis30/49 (61.2%)19/29 (65.5%)11/20 (55.0%)Others18/49 (36.7%)6/29 (20.7%)12/20 (60.0%)Wound sampling prior to surgical treatmentTissue or bone biopsy17/49 (34.7%)4/29 (13.8%)13/20 (65.0%)p < 0.001 3Wound swab27/49 (55.1%)22/29 (75.9%)5/20 (25.0%)Others5/49 (10.2%)3/29 (10.3%)2/20 (10.0%)Guideline usageYes14/49 (28.6%)10/29 (34.5%)4/20 (7.4%)P = 0.435 4No35/49 (71.4%)19/29 (65.5%)16/20 (29.6%)Antibiotic choicePiperacillin/Tazobactam21/41 (51.2%)13/22 (59.1%)8/19 (42.1%)p = 0.871 3Amoxicillin/Clavulanic acid8/41 (19.5%)4/22 (18.2%)4/19 (21.1%)Cefazolin5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Defer to guidelines or infectious diseases5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Other antibiotics2/41 (4.9%)1/22 (4.5%)1/19 (5.3%)Antibiotic routeIV31/40 (77.5%)18/21 (85.7%)13/19 (68.4%)p = 0.518 3IV + Oral2/40 (5.0%)1/21 (4.8%)1/19 (5.3%)Defer to guidelines or infectious diseases physicians5/40 (12.5%)2/21 (9.5%)3/19 (15.8%)Others2/40 (5.0%)0/21 (0.0%)2/19 (10.5%)Wound dressing selection1Iodine-based dressings26/42 (61.9%)14/22 (63.6%)12/20 (60.0%)2Betadine paint10/42 (23.8%)9/22 (40.9%)1/20 (5.0%)Saline soaked packing19/42 (45.2%)12/22 (54.5%)7/20 (35.0%)Betadine soaked packing13/42 (31.0%)10/22 (45.5%)3/20 (15.0%)Chlorohexidine-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Silver-based dressings23/42 (54.8%)11/22 (50.0%)12/20 (60.0%)Honey-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Negative pressure therapy38/42 (90.5%)19/22 (86.4%)19/20 (95.0%)No dressing2/42 (4.8%)2/22 (9.1%)0/20 (0.0%)Others9/42 (21.4%)8/22 (36.4%)1/20 (5.0%)Wound closure after debridement1Healing by primary closure19/42 (45.2%)10/22 (45.5%)9/20 (45.0%)2Healing by delayed primary closure27/42 (64.3%)13/22 (59.1%)14/20 (70.0%)Superficial skin graft18/42 (42.9%)13/22 (59.1%)5/20 (25.0%)Healing by secondary intention39/42 (92.9%)20/22 (90.9%)19/20 (95.0%)1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction\nCurrent management practices\n1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction\nRespondents who used guidelines were also asked to detail what they thought was lacking in the current guidelines. Three main themes were identified from their responses: (i) Treatment-based decisions, (ii) Holistic management and (iii) Local resource considerations. Table 3 reports this in greater detail.\n\nTable 3Additional areas to be covered in guidelinesAdditional areas to be covered in guidelinesnTreatment-based decisions• Indications for conservative vs. surgical management• Optimal offloading and biomechanical considerations• Vascular intervention• Imaging criteria• Charcot vs. infection considerations9Holistic management• Co-morbidities• Indicators of function• Patient education• Dietary management of diabetes7Local resource consideration• Distance to nearest hospital• Availability of podiatry services2\nAdditional areas to be covered in guidelines\nTreatment-based decisions\n• Indications for conservative vs. surgical management\n• Optimal offloading and biomechanical considerations\n• Vascular intervention\n• Imaging criteria\n• Charcot vs. infection considerations\nHolistic management\n• Co-morbidities\n• Indicators of function\n• Patient education\n• Dietary management of diabetes\nLocal resource consideration\n• Distance to nearest hospital\n• Availability of podiatry services\nSample quotes are given below to illustrate these themes:\n(i) Treatment-based decisions.\n\n“The timing of debridement is not clear” (Orthopaedic surgeon 11).\n\n“The timing of debridement is not clear” (Orthopaedic surgeon 11).\n\n“The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7).\n\n“The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7).\n(ii) Holistic management.\n\n“Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21).\n\n“Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21).\n\n“Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15).\n\n“Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15).\n(iii) Local resource considerations.\n\n“Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17).\n\n“Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17).\nHalf (21/41; 51.2%) of the respondents indicated that piperacillin combined with tazobactam was their preferred choice of antibiotic for the empirical management of severe DFI. Most (31/40; 77.5%) respondents preferred an intravenous route of antibiotic administration. Few respondents indicated that their choice (5/41; 12.2%) and route (5/40; 12.5%) of antibiotic was based on guidelines or on advice from infectious diseases physicians. There was no statistical difference in the choice and route of delivery for antibiotics between orthopaedic and vascular surgery specialties (Fisher-Freeman-Halton = 1.799, p = 0.871; Fisher-Freeman-Halton = 2.832, p = 0.518). Negative pressure dressings were the most common method used to manage open wounds (38/42; 90.5%) with most wounds left to heal by secondary intention (39/42; 92.9%).\nResponses to questions on current management practices are summarised in Table 2. The severity of infection was determined most commonly by the degree of tissue necrosis (30/49; 61.2%) and/or the extent of erythema (27/49; 55.1%). International classification systems were rarely used to determine the extent of infection (13/49; 26.5%). The most common wound sampling method for guiding the choice of antibiotic was the wound swab (27/49; 55.1%), followed by tissue or bone biopsy (17/49; 34.7%). There was a statistically significant difference (Fisher-Freeman-Halton = 14.512, p < 0.001) in the sampling method preferred by vascular and orthopaedic surgeons. Vascular surgeons (22/29; 75.9%) preferred wound swabs but orthopaedic surgeons (13/20; 65.0%) preferred tissue or bone biopsies to guide antibiotic choice for severe DFI. Most respondents (35/49; 71.4%) did not use a guideline to assist their management of DFI. This finding was consistent in both surgical specialties (x2 = 0.610, p = 0.435).\n\nTable 2Current management practicesTotalVascular surgeonsOrthopaedic surgeonsp-valueDetermining extent of infection prior to surgical treatment1Based on international classification system13/49 (26.5%)9/29 (31.0%)4/20 (20.0%)2Based on extent of erythema27/49 (55.1%)18/29 (62.1%)9/20 (45.0%)Based on extent of skin with raised temps19/49 (38.8%)14/29 (48.3%)5/20 (25.0%)Based on amount and type of wound exudate21/49 (42.9%)14/29 (48.3%)7/20 (35.0%)Based on extent of swelling20/49 (40.8%)15/29 (51.7%)5/20 (25.0%)Based on degree of tissue necrosis30/49 (61.2%)19/29 (65.5%)11/20 (55.0%)Others18/49 (36.7%)6/29 (20.7%)12/20 (60.0%)Wound sampling prior to surgical treatmentTissue or bone biopsy17/49 (34.7%)4/29 (13.8%)13/20 (65.0%)p < 0.001 3Wound swab27/49 (55.1%)22/29 (75.9%)5/20 (25.0%)Others5/49 (10.2%)3/29 (10.3%)2/20 (10.0%)Guideline usageYes14/49 (28.6%)10/29 (34.5%)4/20 (7.4%)P = 0.435 4No35/49 (71.4%)19/29 (65.5%)16/20 (29.6%)Antibiotic choicePiperacillin/Tazobactam21/41 (51.2%)13/22 (59.1%)8/19 (42.1%)p = 0.871 3Amoxicillin/Clavulanic acid8/41 (19.5%)4/22 (18.2%)4/19 (21.1%)Cefazolin5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Defer to guidelines or infectious diseases5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Other antibiotics2/41 (4.9%)1/22 (4.5%)1/19 (5.3%)Antibiotic routeIV31/40 (77.5%)18/21 (85.7%)13/19 (68.4%)p = 0.518 3IV + Oral2/40 (5.0%)1/21 (4.8%)1/19 (5.3%)Defer to guidelines or infectious diseases physicians5/40 (12.5%)2/21 (9.5%)3/19 (15.8%)Others2/40 (5.0%)0/21 (0.0%)2/19 (10.5%)Wound dressing selection1Iodine-based dressings26/42 (61.9%)14/22 (63.6%)12/20 (60.0%)2Betadine paint10/42 (23.8%)9/22 (40.9%)1/20 (5.0%)Saline soaked packing19/42 (45.2%)12/22 (54.5%)7/20 (35.0%)Betadine soaked packing13/42 (31.0%)10/22 (45.5%)3/20 (15.0%)Chlorohexidine-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Silver-based dressings23/42 (54.8%)11/22 (50.0%)12/20 (60.0%)Honey-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Negative pressure therapy38/42 (90.5%)19/22 (86.4%)19/20 (95.0%)No dressing2/42 (4.8%)2/22 (9.1%)0/20 (0.0%)Others9/42 (21.4%)8/22 (36.4%)1/20 (5.0%)Wound closure after debridement1Healing by primary closure19/42 (45.2%)10/22 (45.5%)9/20 (45.0%)2Healing by delayed primary closure27/42 (64.3%)13/22 (59.1%)14/20 (70.0%)Superficial skin graft18/42 (42.9%)13/22 (59.1%)5/20 (25.0%)Healing by secondary intention39/42 (92.9%)20/22 (90.9%)19/20 (95.0%)1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction\nCurrent management practices\n1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction\nRespondents who used guidelines were also asked to detail what they thought was lacking in the current guidelines. Three main themes were identified from their responses: (i) Treatment-based decisions, (ii) Holistic management and (iii) Local resource considerations. Table 3 reports this in greater detail.\n\nTable 3Additional areas to be covered in guidelinesAdditional areas to be covered in guidelinesnTreatment-based decisions• Indications for conservative vs. surgical management• Optimal offloading and biomechanical considerations• Vascular intervention• Imaging criteria• Charcot vs. infection considerations9Holistic management• Co-morbidities• Indicators of function• Patient education• Dietary management of diabetes7Local resource consideration• Distance to nearest hospital• Availability of podiatry services2\nAdditional areas to be covered in guidelines\nTreatment-based decisions\n• Indications for conservative vs. surgical management\n• Optimal offloading and biomechanical considerations\n• Vascular intervention\n• Imaging criteria\n• Charcot vs. infection considerations\nHolistic management\n• Co-morbidities\n• Indicators of function\n• Patient education\n• Dietary management of diabetes\nLocal resource consideration\n• Distance to nearest hospital\n• Availability of podiatry services\nSample quotes are given below to illustrate these themes:\n(i) Treatment-based decisions.\n\n“The timing of debridement is not clear” (Orthopaedic surgeon 11).\n\n“The timing of debridement is not clear” (Orthopaedic surgeon 11).\n\n“The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7).\n\n“The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7).\n(ii) Holistic management.\n\n“Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21).\n\n“Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21).\n\n“Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15).\n\n“Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15).\n(iii) Local resource considerations.\n\n“Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17).\n\n“Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17).\nHalf (21/41; 51.2%) of the respondents indicated that piperacillin combined with tazobactam was their preferred choice of antibiotic for the empirical management of severe DFI. Most (31/40; 77.5%) respondents preferred an intravenous route of antibiotic administration. Few respondents indicated that their choice (5/41; 12.2%) and route (5/40; 12.5%) of antibiotic was based on guidelines or on advice from infectious diseases physicians. There was no statistical difference in the choice and route of delivery for antibiotics between orthopaedic and vascular surgery specialties (Fisher-Freeman-Halton = 1.799, p = 0.871; Fisher-Freeman-Halton = 2.832, p = 0.518). Negative pressure dressings were the most common method used to manage open wounds (38/42; 90.5%) with most wounds left to heal by secondary intention (39/42; 92.9%).\n Opinions regarding clinical management and perceptions of further research Table 4 summarises respondents’ opinions about the usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials. Results were reported as median (IQR). The probe-to-bone test (4/5 [3–5]) and magnetic resonance imaging (4/5 [3–5]) were seen as the most useful ways to diagnose osteomyelitis and this was not significantly different between the vascular and orthopaedic surgeons (p = 0.082, p = 0.922). Respondents were confident about making management decisions with a median confidence score of 4 out of 5 in all aspects covered. Respondents indicated greatest confidence in the indications for surgical debridement (5/5 [4, 5]). Respondents felt that there was moderate variation (i.e. median variation score of 3) between specialists in most management decisions. The choice of wound dressing was felt to be particularly variable (4/5 [3–5]). Respondents perceived moderate need (minimum median score of 3) for further randomised controlled trials exploring key aspects of DFI management. There was no statistically significant difference between the response of vascular and orthopaedic surgeons.\n\nTable 4Opinions of managing diabetes-related foot infection and osteomyelitisTotalVascular surgeonsOrthopaedic surgeonsp-value 2Usefulness for diagnosing diabetic foot osteomyelitis1Probe-to-bone test35/494 (3–5)19/294 (3–5)16/203 (2–4)p = 0.082Bone biopsy35/493 (2–5)18/293 (2–4)17/204 (2–5)p = 0.303Plain x-ray40/493 (2–4)22/293 (2–4)18/203.5 (2–4)p = 0.757Magnetic resonance imaging39/494 (3–5)21/294 (3.5–5)18/204 (3–5)p = 0.922Bone scan24/493 (2–4)12/293 (2–4)12/203 (2–3.75)p = 0.478PET-CT scan19/493 (3–4)10/293 (2.75–4)9/204 (3–4)p = 0.720Confidence in: 1Wound dressing choice40/494 (3.25–5)21/295 (4–5)19/204 (3–4)P = 0.065Antibiotic choice39/494 (4–5)21/294 (4–5)18/204 (3–4)P = 0.053Antibiotic duration40/494 (3–4)22/293.5 (3–4)18/204 (3–4)P = 0.638Indications for removal of infected bone41/494 (4–5)22/294.5 (4–5)19/204 (4–5)P = 0.954Indications for surgical debridement42/495 (4–5)22/295 (4–5)20/204 (4–5)P = 0.083Extent of surgical debridement42/494 (4–5)22/295 (4–5)20/204 (4–5)P = 0.190Variation in: 1Wound dressing choice41/494 (3–5)21/294 (3.5–5)20/204 (3–4)p = 0.122Antibiotic choice40/493 (2–4)21/293 (2–3.5)19/203 (2–4)p = 0.830Antibiotic duration40/493 (2–3.75)21/293 (3–4)19/203 (2–4)P = 0.320Indications for removal of infected bone38/493 (3–4)19/293 (2–3)19/203 (2–4)P = 0.525Indications for surgical debridement38/493 (2–4)20/293 (2–4)18/203 (2–4)P = 0.806Extent of surgical debridement41/493 (2–4)21/293 (2–4)20/203 (2–4)P = 0.764Need for further randomised clinical trials exploring: 1Wound dressing choice31/494 (3–4)16/294 (3–5)15/203 (3–4)p = 0.216Antibiotic choice33/493 (2–4)18/293 (2–4)15/203 (2–4)p = 0.789Antibiotic duration35/494 (3–4)18/294 (3–4)17/204 (2.5–4)p = 0.732Indications for removal of infected bone34/494 (3–5)17/294 (3–5)17/204 (2.5–5)p = 0.610Indications for surgical debridement32/494 (2–5)14/294 (2–4.25)18/204 (2.75–5)p = 0.639Extent of surgical debridement34/494 (2.75–4.25)16/294 (3–4.75)18/204 (2–4.25)p = 0.5061 Reported as median (IQR), 2 Mann-Whitney U test\nOpinions of managing diabetes-related foot infection and osteomyelitis\n35/49\n4 (3–5)\n19/29\n4 (3–5)\n16/20\n3 (2–4)\n35/49\n3 (2–5)\n18/29\n3 (2–4)\n17/20\n4 (2–5)\n40/49\n3 (2–4)\n22/29\n3 (2–4)\n18/20\n3.5 (2–4)\n39/49\n4 (3–5)\n21/29\n4 (3.5–5)\n18/20\n4 (3–5)\n24/49\n3 (2–4)\n12/29\n3 (2–4)\n12/20\n3 (2–3.75)\n19/49\n3 (3–4)\n10/29\n3 (2.75–4)\n9/20\n4 (3–4)\n40/49\n4 (3.25–5)\n21/29\n5 (4–5)\n19/20\n4 (3–4)\n39/49\n4 (4–5)\n21/29\n4 (4–5)\n18/20\n4 (3–4)\n40/49\n4 (3–4)\n22/29\n3.5 (3–4)\n18/20\n4 (3–4)\n41/49\n4 (4–5)\n22/29\n4.5 (4–5)\n19/20\n4 (4–5)\n42/49\n5 (4–5)\n22/29\n5 (4–5)\n20/20\n4 (4–5)\n42/49\n4 (4–5)\n22/29\n5 (4–5)\n20/20\n4 (4–5)\n41/49\n4 (3–5)\n21/29\n4 (3.5–5)\n20/20\n4 (3–4)\n40/49\n3 (2–4)\n21/29\n3 (2–3.5)\n19/20\n3 (2–4)\n40/49\n3 (2–3.75)\n21/29\n3 (3–4)\n19/20\n3 (2–4)\n38/49\n3 (3–4)\n19/29\n3 (2–3)\n19/20\n3 (2–4)\n38/49\n3 (2–4)\n20/29\n3 (2–4)\n18/20\n3 (2–4)\n41/49\n3 (2–4)\n21/29\n3 (2–4)\n20/20\n3 (2–4)\n31/49\n4 (3–4)\n16/29\n4 (3–5)\n15/20\n3 (3–4)\n33/49\n3 (2–4)\n18/29\n3 (2–4)\n15/20\n3 (2–4)\n35/49\n4 (3–4)\n18/29\n4 (3–4)\n17/20\n4 (2.5–4)\n34/49\n4 (3–5)\n17/29\n4 (3–5)\n17/20\n4 (2.5–5)\n32/49\n4 (2–5)\n14/29\n4 (2–4.25)\n18/20\n4 (2.75–5)\n34/49\n4 (2.75–4.25)\n16/29\n4 (3–4.75)\n18/20\n4 (2–4.25)\n1 Reported as median (IQR), 2 Mann-Whitney U test\nIn an optional open-ended question, respondents were asked about their management decision for revascularisation. Content analysis identified two main themes: (i) Revasularisation decision based on assessment of the severity of ischemia and (ii) Referral to vascular surgery for revasularisation decisions. Table 5 reports this in greater detail.\n\nTable 5Revascularisation decisionsRevascularisation decisionTotalVascular surgeryOrthopaedic surgerySeverity of ischemia determined via:• Toe pressures/ABI 1• Palpation of foot/lower limb pulses• Imaging modalities• Wound healing & appearance23/33 (69.7%)18/18 (100.0%)5/15 (33.3%)Referral to vascular surgery10/33 (30.3%)0/18 (0%)10/15 (66.7%)1 ABI = Ankle brachial pressure index\nRevascularisation decisions\nSeverity of ischemia determined via:\n• Toe pressures/ABI 1\n• Palpation of foot/lower limb pulses\n• Imaging modalities\n• Wound healing & appearance\n1 ABI = Ankle brachial pressure index\nSample quotes are given below:\n(i) Severity of ischemia.\nThis theme formed the largest section of comments (23/33; 69.7%). All vascular surgeons who commented (18/18; 100.0%) on this question mentioned that they would make revascularisation decisions based on the severity of ischemia. These were determined using a combination of imaging modalities, ankle and toe Doppler pressures, palpation of pulses and/or based on the healing and appearance of the wound itself.\n\n“Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29).\n\n“Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29).\n\n“Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22).\n\n“Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22).\n(ii) Referral to vascular surgery.\nIn contrast, a majority of orthopaedic surgeons who commented on this question mentioned that they would refer to vascular surgery to make revascularisation decisions (10/15; 66.7%).\n\n“Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15).\n\n“Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15).\nTable 4 summarises respondents’ opinions about the usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials. Results were reported as median (IQR). The probe-to-bone test (4/5 [3–5]) and magnetic resonance imaging (4/5 [3–5]) were seen as the most useful ways to diagnose osteomyelitis and this was not significantly different between the vascular and orthopaedic surgeons (p = 0.082, p = 0.922). Respondents were confident about making management decisions with a median confidence score of 4 out of 5 in all aspects covered. Respondents indicated greatest confidence in the indications for surgical debridement (5/5 [4, 5]). Respondents felt that there was moderate variation (i.e. median variation score of 3) between specialists in most management decisions. The choice of wound dressing was felt to be particularly variable (4/5 [3–5]). Respondents perceived moderate need (minimum median score of 3) for further randomised controlled trials exploring key aspects of DFI management. There was no statistically significant difference between the response of vascular and orthopaedic surgeons.\n\nTable 4Opinions of managing diabetes-related foot infection and osteomyelitisTotalVascular surgeonsOrthopaedic surgeonsp-value 2Usefulness for diagnosing diabetic foot osteomyelitis1Probe-to-bone test35/494 (3–5)19/294 (3–5)16/203 (2–4)p = 0.082Bone biopsy35/493 (2–5)18/293 (2–4)17/204 (2–5)p = 0.303Plain x-ray40/493 (2–4)22/293 (2–4)18/203.5 (2–4)p = 0.757Magnetic resonance imaging39/494 (3–5)21/294 (3.5–5)18/204 (3–5)p = 0.922Bone scan24/493 (2–4)12/293 (2–4)12/203 (2–3.75)p = 0.478PET-CT scan19/493 (3–4)10/293 (2.75–4)9/204 (3–4)p = 0.720Confidence in: 1Wound dressing choice40/494 (3.25–5)21/295 (4–5)19/204 (3–4)P = 0.065Antibiotic choice39/494 (4–5)21/294 (4–5)18/204 (3–4)P = 0.053Antibiotic duration40/494 (3–4)22/293.5 (3–4)18/204 (3–4)P = 0.638Indications for removal of infected bone41/494 (4–5)22/294.5 (4–5)19/204 (4–5)P = 0.954Indications for surgical debridement42/495 (4–5)22/295 (4–5)20/204 (4–5)P = 0.083Extent of surgical debridement42/494 (4–5)22/295 (4–5)20/204 (4–5)P = 0.190Variation in: 1Wound dressing choice41/494 (3–5)21/294 (3.5–5)20/204 (3–4)p = 0.122Antibiotic choice40/493 (2–4)21/293 (2–3.5)19/203 (2–4)p = 0.830Antibiotic duration40/493 (2–3.75)21/293 (3–4)19/203 (2–4)P = 0.320Indications for removal of infected bone38/493 (3–4)19/293 (2–3)19/203 (2–4)P = 0.525Indications for surgical debridement38/493 (2–4)20/293 (2–4)18/203 (2–4)P = 0.806Extent of surgical debridement41/493 (2–4)21/293 (2–4)20/203 (2–4)P = 0.764Need for further randomised clinical trials exploring: 1Wound dressing choice31/494 (3–4)16/294 (3–5)15/203 (3–4)p = 0.216Antibiotic choice33/493 (2–4)18/293 (2–4)15/203 (2–4)p = 0.789Antibiotic duration35/494 (3–4)18/294 (3–4)17/204 (2.5–4)p = 0.732Indications for removal of infected bone34/494 (3–5)17/294 (3–5)17/204 (2.5–5)p = 0.610Indications for surgical debridement32/494 (2–5)14/294 (2–4.25)18/204 (2.75–5)p = 0.639Extent of surgical debridement34/494 (2.75–4.25)16/294 (3–4.75)18/204 (2–4.25)p = 0.5061 Reported as median (IQR), 2 Mann-Whitney U test\nOpinions of managing diabetes-related foot infection and osteomyelitis\n35/49\n4 (3–5)\n19/29\n4 (3–5)\n16/20\n3 (2–4)\n35/49\n3 (2–5)\n18/29\n3 (2–4)\n17/20\n4 (2–5)\n40/49\n3 (2–4)\n22/29\n3 (2–4)\n18/20\n3.5 (2–4)\n39/49\n4 (3–5)\n21/29\n4 (3.5–5)\n18/20\n4 (3–5)\n24/49\n3 (2–4)\n12/29\n3 (2–4)\n12/20\n3 (2–3.75)\n19/49\n3 (3–4)\n10/29\n3 (2.75–4)\n9/20\n4 (3–4)\n40/49\n4 (3.25–5)\n21/29\n5 (4–5)\n19/20\n4 (3–4)\n39/49\n4 (4–5)\n21/29\n4 (4–5)\n18/20\n4 (3–4)\n40/49\n4 (3–4)\n22/29\n3.5 (3–4)\n18/20\n4 (3–4)\n41/49\n4 (4–5)\n22/29\n4.5 (4–5)\n19/20\n4 (4–5)\n42/49\n5 (4–5)\n22/29\n5 (4–5)\n20/20\n4 (4–5)\n42/49\n4 (4–5)\n22/29\n5 (4–5)\n20/20\n4 (4–5)\n41/49\n4 (3–5)\n21/29\n4 (3.5–5)\n20/20\n4 (3–4)\n40/49\n3 (2–4)\n21/29\n3 (2–3.5)\n19/20\n3 (2–4)\n40/49\n3 (2–3.75)\n21/29\n3 (3–4)\n19/20\n3 (2–4)\n38/49\n3 (3–4)\n19/29\n3 (2–3)\n19/20\n3 (2–4)\n38/49\n3 (2–4)\n20/29\n3 (2–4)\n18/20\n3 (2–4)\n41/49\n3 (2–4)\n21/29\n3 (2–4)\n20/20\n3 (2–4)\n31/49\n4 (3–4)\n16/29\n4 (3–5)\n15/20\n3 (3–4)\n33/49\n3 (2–4)\n18/29\n3 (2–4)\n15/20\n3 (2–4)\n35/49\n4 (3–4)\n18/29\n4 (3–4)\n17/20\n4 (2.5–4)\n34/49\n4 (3–5)\n17/29\n4 (3–5)\n17/20\n4 (2.5–5)\n32/49\n4 (2–5)\n14/29\n4 (2–4.25)\n18/20\n4 (2.75–5)\n34/49\n4 (2.75–4.25)\n16/29\n4 (3–4.75)\n18/20\n4 (2–4.25)\n1 Reported as median (IQR), 2 Mann-Whitney U test\nIn an optional open-ended question, respondents were asked about their management decision for revascularisation. Content analysis identified two main themes: (i) Revasularisation decision based on assessment of the severity of ischemia and (ii) Referral to vascular surgery for revasularisation decisions. Table 5 reports this in greater detail.\n\nTable 5Revascularisation decisionsRevascularisation decisionTotalVascular surgeryOrthopaedic surgerySeverity of ischemia determined via:• Toe pressures/ABI 1• Palpation of foot/lower limb pulses• Imaging modalities• Wound healing & appearance23/33 (69.7%)18/18 (100.0%)5/15 (33.3%)Referral to vascular surgery10/33 (30.3%)0/18 (0%)10/15 (66.7%)1 ABI = Ankle brachial pressure index\nRevascularisation decisions\nSeverity of ischemia determined via:\n• Toe pressures/ABI 1\n• Palpation of foot/lower limb pulses\n• Imaging modalities\n• Wound healing & appearance\n1 ABI = Ankle brachial pressure index\nSample quotes are given below:\n(i) Severity of ischemia.\nThis theme formed the largest section of comments (23/33; 69.7%). All vascular surgeons who commented (18/18; 100.0%) on this question mentioned that they would make revascularisation decisions based on the severity of ischemia. These were determined using a combination of imaging modalities, ankle and toe Doppler pressures, palpation of pulses and/or based on the healing and appearance of the wound itself.\n\n“Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29).\n\n“Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29).\n\n“Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22).\n\n“Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22).\n(ii) Referral to vascular surgery.\nIn contrast, a majority of orthopaedic surgeons who commented on this question mentioned that they would refer to vascular surgery to make revascularisation decisions (10/15; 66.7%).\n\n“Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15).\n\n“Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15).\n Private vs. public setting differences The responses of surgeons that mainly worked in public hospitals were not significantly different to those mainly working in the private sector, with one exception (Additional File 2). Surgeons working privately were more likely to see value (4/5 on a 5-point Likert rating scale) in RCTs testing different wound dressings compared to those working in the public setting (3/5) (p = 0.040).\nThe responses of surgeons that mainly worked in public hospitals were not significantly different to those mainly working in the private sector, with one exception (Additional File 2). Surgeons working privately were more likely to see value (4/5 on a 5-point Likert rating scale) in RCTs testing different wound dressings compared to those working in the public setting (3/5) (p = 0.040).", "A total of 49 survey responses were received, with 42 being complete and seven including responses to at least 50% of questions. Participant characteristics are shown in Table 1. 29 responses (59.2%) were from vascular surgeons and 20 responses (40.8%) were from orthopaedic surgeons. Most (46; 93.9%) were Royal Australasian College of Surgeons accredited consultants.\n\nTable 1Characteristics of the forty nine participantsSurgical specialtyVascular surgeryOrthopaedic surgery29 (59.2%)20 (40.8%)LocationQueenslandNew South WalesSouth AustraliaTasmaniaVictoriaWestern AustraliaAustralian Capital TerritoryNew Zealand29 (59.2%)5 (10.2%)2 (4.1%)1 (2.0%)4 (8.2%)3 (6.1%)2 (4.1%)3 (6.1%)Primary place of workPublic hospitalPrivate practice31 (63.3%)18 (36.7%)Years of medical experience27.0 (9.4)DesignationRACS accredited ConsultantOthers46 (93.9%)3 (6.1%)Data presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons\nCharacteristics of the forty nine participants\nLocation\nQueensland\nNew South Wales\nSouth Australia\nTasmania\nVictoria\nWestern Australia\nAustralian Capital Territory\nNew Zealand\n29 (59.2%)\n5 (10.2%)\n2 (4.1%)\n1 (2.0%)\n4 (8.2%)\n3 (6.1%)\n2 (4.1%)\n3 (6.1%)\nPrimary place of work\nPublic hospital\nPrivate practice\n31 (63.3%)\n18 (36.7%)\nDesignation\nRACS accredited Consultant\nOthers\n46 (93.9%)\n3 (6.1%)\nData presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons", "Responses to questions on current management practices are summarised in Table 2. The severity of infection was determined most commonly by the degree of tissue necrosis (30/49; 61.2%) and/or the extent of erythema (27/49; 55.1%). International classification systems were rarely used to determine the extent of infection (13/49; 26.5%). The most common wound sampling method for guiding the choice of antibiotic was the wound swab (27/49; 55.1%), followed by tissue or bone biopsy (17/49; 34.7%). There was a statistically significant difference (Fisher-Freeman-Halton = 14.512, p < 0.001) in the sampling method preferred by vascular and orthopaedic surgeons. Vascular surgeons (22/29; 75.9%) preferred wound swabs but orthopaedic surgeons (13/20; 65.0%) preferred tissue or bone biopsies to guide antibiotic choice for severe DFI. Most respondents (35/49; 71.4%) did not use a guideline to assist their management of DFI. This finding was consistent in both surgical specialties (x2 = 0.610, p = 0.435).\n\nTable 2Current management practicesTotalVascular surgeonsOrthopaedic surgeonsp-valueDetermining extent of infection prior to surgical treatment1Based on international classification system13/49 (26.5%)9/29 (31.0%)4/20 (20.0%)2Based on extent of erythema27/49 (55.1%)18/29 (62.1%)9/20 (45.0%)Based on extent of skin with raised temps19/49 (38.8%)14/29 (48.3%)5/20 (25.0%)Based on amount and type of wound exudate21/49 (42.9%)14/29 (48.3%)7/20 (35.0%)Based on extent of swelling20/49 (40.8%)15/29 (51.7%)5/20 (25.0%)Based on degree of tissue necrosis30/49 (61.2%)19/29 (65.5%)11/20 (55.0%)Others18/49 (36.7%)6/29 (20.7%)12/20 (60.0%)Wound sampling prior to surgical treatmentTissue or bone biopsy17/49 (34.7%)4/29 (13.8%)13/20 (65.0%)p < 0.001 3Wound swab27/49 (55.1%)22/29 (75.9%)5/20 (25.0%)Others5/49 (10.2%)3/29 (10.3%)2/20 (10.0%)Guideline usageYes14/49 (28.6%)10/29 (34.5%)4/20 (7.4%)P = 0.435 4No35/49 (71.4%)19/29 (65.5%)16/20 (29.6%)Antibiotic choicePiperacillin/Tazobactam21/41 (51.2%)13/22 (59.1%)8/19 (42.1%)p = 0.871 3Amoxicillin/Clavulanic acid8/41 (19.5%)4/22 (18.2%)4/19 (21.1%)Cefazolin5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Defer to guidelines or infectious diseases5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Other antibiotics2/41 (4.9%)1/22 (4.5%)1/19 (5.3%)Antibiotic routeIV31/40 (77.5%)18/21 (85.7%)13/19 (68.4%)p = 0.518 3IV + Oral2/40 (5.0%)1/21 (4.8%)1/19 (5.3%)Defer to guidelines or infectious diseases physicians5/40 (12.5%)2/21 (9.5%)3/19 (15.8%)Others2/40 (5.0%)0/21 (0.0%)2/19 (10.5%)Wound dressing selection1Iodine-based dressings26/42 (61.9%)14/22 (63.6%)12/20 (60.0%)2Betadine paint10/42 (23.8%)9/22 (40.9%)1/20 (5.0%)Saline soaked packing19/42 (45.2%)12/22 (54.5%)7/20 (35.0%)Betadine soaked packing13/42 (31.0%)10/22 (45.5%)3/20 (15.0%)Chlorohexidine-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Silver-based dressings23/42 (54.8%)11/22 (50.0%)12/20 (60.0%)Honey-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Negative pressure therapy38/42 (90.5%)19/22 (86.4%)19/20 (95.0%)No dressing2/42 (4.8%)2/22 (9.1%)0/20 (0.0%)Others9/42 (21.4%)8/22 (36.4%)1/20 (5.0%)Wound closure after debridement1Healing by primary closure19/42 (45.2%)10/22 (45.5%)9/20 (45.0%)2Healing by delayed primary closure27/42 (64.3%)13/22 (59.1%)14/20 (70.0%)Superficial skin graft18/42 (42.9%)13/22 (59.1%)5/20 (25.0%)Healing by secondary intention39/42 (92.9%)20/22 (90.9%)19/20 (95.0%)1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction\nCurrent management practices\n1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction\nRespondents who used guidelines were also asked to detail what they thought was lacking in the current guidelines. Three main themes were identified from their responses: (i) Treatment-based decisions, (ii) Holistic management and (iii) Local resource considerations. Table 3 reports this in greater detail.\n\nTable 3Additional areas to be covered in guidelinesAdditional areas to be covered in guidelinesnTreatment-based decisions• Indications for conservative vs. surgical management• Optimal offloading and biomechanical considerations• Vascular intervention• Imaging criteria• Charcot vs. infection considerations9Holistic management• Co-morbidities• Indicators of function• Patient education• Dietary management of diabetes7Local resource consideration• Distance to nearest hospital• Availability of podiatry services2\nAdditional areas to be covered in guidelines\nTreatment-based decisions\n• Indications for conservative vs. surgical management\n• Optimal offloading and biomechanical considerations\n• Vascular intervention\n• Imaging criteria\n• Charcot vs. infection considerations\nHolistic management\n• Co-morbidities\n• Indicators of function\n• Patient education\n• Dietary management of diabetes\nLocal resource consideration\n• Distance to nearest hospital\n• Availability of podiatry services\nSample quotes are given below to illustrate these themes:\n(i) Treatment-based decisions.\n\n“The timing of debridement is not clear” (Orthopaedic surgeon 11).\n\n“The timing of debridement is not clear” (Orthopaedic surgeon 11).\n\n“The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7).\n\n“The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7).\n(ii) Holistic management.\n\n“Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21).\n\n“Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21).\n\n“Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15).\n\n“Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15).\n(iii) Local resource considerations.\n\n“Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17).\n\n“Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17).\nHalf (21/41; 51.2%) of the respondents indicated that piperacillin combined with tazobactam was their preferred choice of antibiotic for the empirical management of severe DFI. Most (31/40; 77.5%) respondents preferred an intravenous route of antibiotic administration. Few respondents indicated that their choice (5/41; 12.2%) and route (5/40; 12.5%) of antibiotic was based on guidelines or on advice from infectious diseases physicians. There was no statistical difference in the choice and route of delivery for antibiotics between orthopaedic and vascular surgery specialties (Fisher-Freeman-Halton = 1.799, p = 0.871; Fisher-Freeman-Halton = 2.832, p = 0.518). Negative pressure dressings were the most common method used to manage open wounds (38/42; 90.5%) with most wounds left to heal by secondary intention (39/42; 92.9%).", "Table 4 summarises respondents’ opinions about the usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials. Results were reported as median (IQR). The probe-to-bone test (4/5 [3–5]) and magnetic resonance imaging (4/5 [3–5]) were seen as the most useful ways to diagnose osteomyelitis and this was not significantly different between the vascular and orthopaedic surgeons (p = 0.082, p = 0.922). Respondents were confident about making management decisions with a median confidence score of 4 out of 5 in all aspects covered. Respondents indicated greatest confidence in the indications for surgical debridement (5/5 [4, 5]). Respondents felt that there was moderate variation (i.e. median variation score of 3) between specialists in most management decisions. The choice of wound dressing was felt to be particularly variable (4/5 [3–5]). Respondents perceived moderate need (minimum median score of 3) for further randomised controlled trials exploring key aspects of DFI management. There was no statistically significant difference between the response of vascular and orthopaedic surgeons.\n\nTable 4Opinions of managing diabetes-related foot infection and osteomyelitisTotalVascular surgeonsOrthopaedic surgeonsp-value 2Usefulness for diagnosing diabetic foot osteomyelitis1Probe-to-bone test35/494 (3–5)19/294 (3–5)16/203 (2–4)p = 0.082Bone biopsy35/493 (2–5)18/293 (2–4)17/204 (2–5)p = 0.303Plain x-ray40/493 (2–4)22/293 (2–4)18/203.5 (2–4)p = 0.757Magnetic resonance imaging39/494 (3–5)21/294 (3.5–5)18/204 (3–5)p = 0.922Bone scan24/493 (2–4)12/293 (2–4)12/203 (2–3.75)p = 0.478PET-CT scan19/493 (3–4)10/293 (2.75–4)9/204 (3–4)p = 0.720Confidence in: 1Wound dressing choice40/494 (3.25–5)21/295 (4–5)19/204 (3–4)P = 0.065Antibiotic choice39/494 (4–5)21/294 (4–5)18/204 (3–4)P = 0.053Antibiotic duration40/494 (3–4)22/293.5 (3–4)18/204 (3–4)P = 0.638Indications for removal of infected bone41/494 (4–5)22/294.5 (4–5)19/204 (4–5)P = 0.954Indications for surgical debridement42/495 (4–5)22/295 (4–5)20/204 (4–5)P = 0.083Extent of surgical debridement42/494 (4–5)22/295 (4–5)20/204 (4–5)P = 0.190Variation in: 1Wound dressing choice41/494 (3–5)21/294 (3.5–5)20/204 (3–4)p = 0.122Antibiotic choice40/493 (2–4)21/293 (2–3.5)19/203 (2–4)p = 0.830Antibiotic duration40/493 (2–3.75)21/293 (3–4)19/203 (2–4)P = 0.320Indications for removal of infected bone38/493 (3–4)19/293 (2–3)19/203 (2–4)P = 0.525Indications for surgical debridement38/493 (2–4)20/293 (2–4)18/203 (2–4)P = 0.806Extent of surgical debridement41/493 (2–4)21/293 (2–4)20/203 (2–4)P = 0.764Need for further randomised clinical trials exploring: 1Wound dressing choice31/494 (3–4)16/294 (3–5)15/203 (3–4)p = 0.216Antibiotic choice33/493 (2–4)18/293 (2–4)15/203 (2–4)p = 0.789Antibiotic duration35/494 (3–4)18/294 (3–4)17/204 (2.5–4)p = 0.732Indications for removal of infected bone34/494 (3–5)17/294 (3–5)17/204 (2.5–5)p = 0.610Indications for surgical debridement32/494 (2–5)14/294 (2–4.25)18/204 (2.75–5)p = 0.639Extent of surgical debridement34/494 (2.75–4.25)16/294 (3–4.75)18/204 (2–4.25)p = 0.5061 Reported as median (IQR), 2 Mann-Whitney U test\nOpinions of managing diabetes-related foot infection and osteomyelitis\n35/49\n4 (3–5)\n19/29\n4 (3–5)\n16/20\n3 (2–4)\n35/49\n3 (2–5)\n18/29\n3 (2–4)\n17/20\n4 (2–5)\n40/49\n3 (2–4)\n22/29\n3 (2–4)\n18/20\n3.5 (2–4)\n39/49\n4 (3–5)\n21/29\n4 (3.5–5)\n18/20\n4 (3–5)\n24/49\n3 (2–4)\n12/29\n3 (2–4)\n12/20\n3 (2–3.75)\n19/49\n3 (3–4)\n10/29\n3 (2.75–4)\n9/20\n4 (3–4)\n40/49\n4 (3.25–5)\n21/29\n5 (4–5)\n19/20\n4 (3–4)\n39/49\n4 (4–5)\n21/29\n4 (4–5)\n18/20\n4 (3–4)\n40/49\n4 (3–4)\n22/29\n3.5 (3–4)\n18/20\n4 (3–4)\n41/49\n4 (4–5)\n22/29\n4.5 (4–5)\n19/20\n4 (4–5)\n42/49\n5 (4–5)\n22/29\n5 (4–5)\n20/20\n4 (4–5)\n42/49\n4 (4–5)\n22/29\n5 (4–5)\n20/20\n4 (4–5)\n41/49\n4 (3–5)\n21/29\n4 (3.5–5)\n20/20\n4 (3–4)\n40/49\n3 (2–4)\n21/29\n3 (2–3.5)\n19/20\n3 (2–4)\n40/49\n3 (2–3.75)\n21/29\n3 (3–4)\n19/20\n3 (2–4)\n38/49\n3 (3–4)\n19/29\n3 (2–3)\n19/20\n3 (2–4)\n38/49\n3 (2–4)\n20/29\n3 (2–4)\n18/20\n3 (2–4)\n41/49\n3 (2–4)\n21/29\n3 (2–4)\n20/20\n3 (2–4)\n31/49\n4 (3–4)\n16/29\n4 (3–5)\n15/20\n3 (3–4)\n33/49\n3 (2–4)\n18/29\n3 (2–4)\n15/20\n3 (2–4)\n35/49\n4 (3–4)\n18/29\n4 (3–4)\n17/20\n4 (2.5–4)\n34/49\n4 (3–5)\n17/29\n4 (3–5)\n17/20\n4 (2.5–5)\n32/49\n4 (2–5)\n14/29\n4 (2–4.25)\n18/20\n4 (2.75–5)\n34/49\n4 (2.75–4.25)\n16/29\n4 (3–4.75)\n18/20\n4 (2–4.25)\n1 Reported as median (IQR), 2 Mann-Whitney U test\nIn an optional open-ended question, respondents were asked about their management decision for revascularisation. Content analysis identified two main themes: (i) Revasularisation decision based on assessment of the severity of ischemia and (ii) Referral to vascular surgery for revasularisation decisions. Table 5 reports this in greater detail.\n\nTable 5Revascularisation decisionsRevascularisation decisionTotalVascular surgeryOrthopaedic surgerySeverity of ischemia determined via:• Toe pressures/ABI 1• Palpation of foot/lower limb pulses• Imaging modalities• Wound healing & appearance23/33 (69.7%)18/18 (100.0%)5/15 (33.3%)Referral to vascular surgery10/33 (30.3%)0/18 (0%)10/15 (66.7%)1 ABI = Ankle brachial pressure index\nRevascularisation decisions\nSeverity of ischemia determined via:\n• Toe pressures/ABI 1\n• Palpation of foot/lower limb pulses\n• Imaging modalities\n• Wound healing & appearance\n1 ABI = Ankle brachial pressure index\nSample quotes are given below:\n(i) Severity of ischemia.\nThis theme formed the largest section of comments (23/33; 69.7%). All vascular surgeons who commented (18/18; 100.0%) on this question mentioned that they would make revascularisation decisions based on the severity of ischemia. These were determined using a combination of imaging modalities, ankle and toe Doppler pressures, palpation of pulses and/or based on the healing and appearance of the wound itself.\n\n“Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29).\n\n“Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29).\n\n“Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22).\n\n“Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22).\n(ii) Referral to vascular surgery.\nIn contrast, a majority of orthopaedic surgeons who commented on this question mentioned that they would refer to vascular surgery to make revascularisation decisions (10/15; 66.7%).\n\n“Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15).\n\n“Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15).", "The responses of surgeons that mainly worked in public hospitals were not significantly different to those mainly working in the private sector, with one exception (Additional File 2). Surgeons working privately were more likely to see value (4/5 on a 5-point Likert rating scale) in RCTs testing different wound dressings compared to those working in the public setting (3/5) (p = 0.040).", "This study is the first to report the opinions of surgeons about management of severe DFI. The main finding was that relatively few vascular and orthopaedic surgeons felt guidelines were valuable in guiding decisions on DFI management. Vascular and orthopedic surgeons did not defer significantly in their responses on most management aspects such as the type of empirical antibiotic, method to diagnose DFO and dressing selection. There was a notable difference in the wound sampling method preferred to guide choice of antibiotic. Vascular surgeons were more inclined to use wound swabs compared to orthopaedic surgeons who preferred tissue or bone biopsies. The reason for this variation is not clear and might warrant further investigation.\nCurrently, best-practice guidelines recommend a tissue or bone biopsy as gold standard in determining the causative pathogen for osteomyelitis [3]. Bone biopsy is invasive and it is likely vascular surgeons may have felt it inappropriate to perform a bone biopsy unless an amputation was being performed as part of clinical care. Less than one-third of respondents indicated they used clinical guidelines to guide their management of DFI. The survey did not gather information on the reasons for this, though one possible explanation is the lack of focused guidelines on the surgical management of DFI. For example, the current IWGDF guidelines include only a handful of recommendations on the surgical management of DFI [3]. A number of respondents indicated in their free text responses that guidelines could be improved by covering specific treatment decisions and providing a more holistic management approach. Past research suggest that barriers to use of best-practice guidelines for wound care include the heterogeneous presentation of DFI, complexity of best-practice recommendations and lack of financial incentives to following best practice [12, 13]. Warriner and Carter in their review of wound care guidelines suggested that these could be advanced by greater patient involvement and more complete consideration of the effect of varying resources on implementation, such as the impact of a tertiary hospital versus a regional setting [13]. Currently, the International Working Group on the Diabetic Foot (IWGDF) guidelines are recommended for clinical management of DFI in Australia [11]. It is likely that the IWGDF guideline, although evidence-based, lacks contextualisation to the local situation and is therefore not widely adopted, as evidenced in our survey. Work is currently being undertaken to develop up-to-date Australian-specific guidelines for diabetes-related foot management using the IWGDF guidelines as a reference [14]. The development of the Australian-specific guidelines has undergone rigorous initial public consultations and review by local experts, with an up-to-date Australian guideline expected to be released later this year [14]. It is also important to note the lack of randomised controlled trials testing different surgical approaches for DFI means that current guidelines lack high-quality evidence to inform recommendations. The lack of large randomised controlled trials to inform best management of diabetes-related foot disease makes it challenging to provide  recommendations.\nSurvey respondents agreed on the usefulness of the probe-to-bone test and magnetic resonance imaging (MRI) in diagnosing osteomyelitis. This is in line with past research and current guidelines [15–17]. Although survey respondents were confident in managing DFI, they indicated there was a moderate variation in management, particularly in relation to choice of wound dressing. Given the myriad of wound dressings available and the varying costs associated with different types of wound dressings this is not surprising. Currently, there is no robust evidence suggesting superiority of one dressing over another and best-practice guidelines suggest the choice of dressings should be based on wound healing principles, dressing costs and patient preferences. For treatment of infected wounds, dressings should contain antimicrobial properties [18, 19]. For management of a post-surgical diabetes-related foot wound, current guidelines suggest considering the use of negative pressure wound therapy [19].\nSimilar to this study a survey amongst Australian and New Zealand infectious diseases physicians suggested they preferred using MRI to diagnose osteomyelitis and reported limited use of clinical guideline to aid management of DFI [9].The majority of infectious diseases physicians preferred using superficial swabs to guide the use of antibiotics. The heterogeneity of antimicrobial treatments reported in the survey of infectious diseases physicians was less evident in the current survey, with approximately half of respondents indicating piperacillin combined with tazobactam was the preferred antibiotic. A possible explanation for this disparity is that the current survey asked about the initial empirical antibiotic management of DFI and thus it was expected that respondents would list an antibiotic that provides a broad spectrum of antimicrobial cover.\nSurvey respondents identified a moderate need for further clinical trials testing key aspects of management. This is in keeping with the IWGDF guidelines and a recently published systematic review, which have highlighted uncertainties in many areas of managing DFI due to the lack of high-quality clinical trials [3, 6]. Surgeons that mainly worked in the private sector perceived greater value in randomised clinical trials testing wound dressings than those working at public hospitals. The reasons for this difference are not clear but could relate to greater availability of different types of dressings within the private than public setting due to disparate economic situations.\nThe strengths of this study include the inclusion of open-ended survey questions, which have provided greater insight into DFI management in vascular and orthopaedic surgeon respondents. This study also had several limitations which should be considered when interpreting the results. Firstly, as the surveys were disseminated through multiple professional societies, it was not possible to determine the response rate. The findings are also subject to participant bias, with respondents expected to be more likely than non-responders to have an interest or expertise in managing DFI. In addition, it was not possible to examine variation in DFI practice, particularly between surgeons working in metropolitan and regional areas as postcodes of respondents were not collected. Also, the survey tool was piloted only amongst vascular and not orthopaedic surgeons, meaning the tool may have not been optimised for orthopaedic surgeons and may have missed answering key questions of this speciality. Over half of the participants were from Queensland, and while there were no differences identified between participants according to state of practice, the results may be less representative of other regions of Australia. Lastly, as the study was conducted in Australia and New Zealand, the findings may not be relevant to other countries.", "In conclusion, this survey suggests that Australian and New Zealand vascular and orthopaedic surgeons have relatively similar management approaches for DFI. A statistically significant difference in the preferred wound sampling method was noted. Few of the responding surgeons used best-practice guidelines to guide management of DFI. There was a perceived moderate variation in clinical management and moderate need for clinical trials investigating key aspects of DFI management. Our findings highlights that the available evidence supporting different treatments and the related guidelines for the surgical managing of DFI need to be advanced.", " \nAdditional file 1.Containing the survey questions.Additional file 2.Containing tables comparing private and public setting differences are provided.\nContaining the survey questions.\nContaining tables comparing private and public setting differences are provided.\n\nAdditional file 1.Containing the survey questions.Additional file 2.Containing tables comparing private and public setting differences are provided.\nContaining the survey questions.\nContaining tables comparing private and public setting differences are provided.", "\nAdditional file 1.Containing the survey questions.Additional file 2.Containing tables comparing private and public setting differences are provided.\nContaining the survey questions.\nContaining tables comparing private and public setting differences are provided." ]
[ null, null, null, null, null, "results", null, null, null, null, "discussion", "conclusion", "supplementary-material", null ]
[ "Clinical practice", "Diabetic foot disease", "Orthopaedic surgery", "Survey", "Vascular surgery" ]
Background: Foot infection is a common complication of diabetes and varies in severity [1, 2]. Severe diabetes-related foot infection (DFI) often precipitates hospital admission and requirement for lower extremity amputation [3]. Management of DFI is challenging due to difficulties with diagnosis, limited evidence from high quality clinical trials and heterogeneity in clinical presentation [3]. Bone biopsy, for example, is the gold-standard method to diagnose diabetes-related foot osteomyelitis and to determine choice of antibiotic but is highly invasive and not always appropriate to use [3, 4]. International best-practice guidelines for management of DFI recognise that the evidence to support recommendation is limited due to the lack of high-quality clinical trials [3]. Only one reported randomised clinical trial has tested whether surgical or medical treatment is superior for treating diabetes-related foot osteomyelitis [5]. This trial was too small with too short follow-up to clarify the most appropriate management [5]. The lack of high quality evidence means that there is limited consensus to guide optimal management of DFI, particularly in cases of severe DFI and diabetes-related foot osteomyelitis [6–8]. This is echoed in a recent survey of Australian and New Zealand infectious diseases clinicians which reported limited consensus on how DFI was treated amongst this group of clinicians [9]. In Australia and New Zealand, surgical management of DFI is mainly performed by vascular and orthopaedic surgeons, but these specialties were not included in the previous survey on this topic [10, 11]. The aim of this study was to discover vascular and orthopaedic surgeons’ opinions about the management of DFI. Due to the prior evidence of variation in practice in Australia and New Zealand, the survey was focused on vascular and orthopaedic surgeons practicing in this region. Methods: Study design This descriptive cross-sectional study administered an online survey through the Qualtrics platform between January 2021 and April 2021. The survey was piloted and refined in consultation with vascular surgeons with experience in managing DFI. The final 21-question survey had three sections: Participant demographics (5 questions); management of DFI and osteomyelitis (10 questions); clinical consensus and areas for further research (6 questions). The survey included both multiple choice and free-text questions to facilitate in-depth responses. A full copy of the survey is included in Additional File 1. Likert scales (5-point rating scale) were used to gauge perceived usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials. This descriptive cross-sectional study administered an online survey through the Qualtrics platform between January 2021 and April 2021. The survey was piloted and refined in consultation with vascular surgeons with experience in managing DFI. The final 21-question survey had three sections: Participant demographics (5 questions); management of DFI and osteomyelitis (10 questions); clinical consensus and areas for further research (6 questions). The survey included both multiple choice and free-text questions to facilitate in-depth responses. A full copy of the survey is included in Additional File 1. Likert scales (5-point rating scale) were used to gauge perceived usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials. Survey dissemination A purposive sampling technique was used to distribute the online survey. Professional associations whose members were vascular or orthopaedic surgeons and likely to be involved in the surgical management of DFI were approached to assist with disseminating the survey in November 2020. The associations were requested to distribute the survey link to their members in the first quarter of 2021, with those agreeing to assist in dissemination including Diabetes Feet Australia, Australian Orthopaedic Association, Australia and New Zealand Society for Vascular Surgery, the Queensland Statewide Diabetes Clinical Network and New South Wales Diabetes and Endocrine Network. Organisations did not send out repeat invitations to complete the survey, and the authors did not contact individual hospital departments or staff to complete the survey. A purposive sampling technique was used to distribute the online survey. Professional associations whose members were vascular or orthopaedic surgeons and likely to be involved in the surgical management of DFI were approached to assist with disseminating the survey in November 2020. The associations were requested to distribute the survey link to their members in the first quarter of 2021, with those agreeing to assist in dissemination including Diabetes Feet Australia, Australian Orthopaedic Association, Australia and New Zealand Society for Vascular Surgery, the Queensland Statewide Diabetes Clinical Network and New South Wales Diabetes and Endocrine Network. Organisations did not send out repeat invitations to complete the survey, and the authors did not contact individual hospital departments or staff to complete the survey. Data analysis Survey responses were deemed eligible for inclusion if at least 50% of the questions were completed. Descriptive analysis was conducted to determine participant characteristics and to sum their responses. The Mann-Whitney U and Yates Continuity Correction tests were used to assess statistical differences between the responses of the vascular and orthopaedic surgical specialties, and also between responses of surgeons working in the public and private setting. The Fisher-Freeman-Halton test was used to analyse contingency tables greater than 2 × 2 and where there were expected cell counts of less than 5. A p-value of < 0.05 was considered statistically significant. Statistical analyses were performed using SPSS V25 (IBM Corp, Armonk, NY, USA). Open-text responses were analysed using inductive content analysis, performed by LS, who read all responses and generated categories to provide a description of the responses. A second author (AD) reviewed and discussed these categories with the first author, with disagreements resolved by consensus when necessary. As not all survey respondents answered every question, the number of respondents answering a question was used as the denominator for the relevant results of that question and percentages calculated using this denominator. Survey responses were deemed eligible for inclusion if at least 50% of the questions were completed. Descriptive analysis was conducted to determine participant characteristics and to sum their responses. The Mann-Whitney U and Yates Continuity Correction tests were used to assess statistical differences between the responses of the vascular and orthopaedic surgical specialties, and also between responses of surgeons working in the public and private setting. The Fisher-Freeman-Halton test was used to analyse contingency tables greater than 2 × 2 and where there were expected cell counts of less than 5. A p-value of < 0.05 was considered statistically significant. Statistical analyses were performed using SPSS V25 (IBM Corp, Armonk, NY, USA). Open-text responses were analysed using inductive content analysis, performed by LS, who read all responses and generated categories to provide a description of the responses. A second author (AD) reviewed and discussed these categories with the first author, with disagreements resolved by consensus when necessary. As not all survey respondents answered every question, the number of respondents answering a question was used as the denominator for the relevant results of that question and percentages calculated using this denominator. Study design: This descriptive cross-sectional study administered an online survey through the Qualtrics platform between January 2021 and April 2021. The survey was piloted and refined in consultation with vascular surgeons with experience in managing DFI. The final 21-question survey had three sections: Participant demographics (5 questions); management of DFI and osteomyelitis (10 questions); clinical consensus and areas for further research (6 questions). The survey included both multiple choice and free-text questions to facilitate in-depth responses. A full copy of the survey is included in Additional File 1. Likert scales (5-point rating scale) were used to gauge perceived usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials. Survey dissemination: A purposive sampling technique was used to distribute the online survey. Professional associations whose members were vascular or orthopaedic surgeons and likely to be involved in the surgical management of DFI were approached to assist with disseminating the survey in November 2020. The associations were requested to distribute the survey link to their members in the first quarter of 2021, with those agreeing to assist in dissemination including Diabetes Feet Australia, Australian Orthopaedic Association, Australia and New Zealand Society for Vascular Surgery, the Queensland Statewide Diabetes Clinical Network and New South Wales Diabetes and Endocrine Network. Organisations did not send out repeat invitations to complete the survey, and the authors did not contact individual hospital departments or staff to complete the survey. Data analysis: Survey responses were deemed eligible for inclusion if at least 50% of the questions were completed. Descriptive analysis was conducted to determine participant characteristics and to sum their responses. The Mann-Whitney U and Yates Continuity Correction tests were used to assess statistical differences between the responses of the vascular and orthopaedic surgical specialties, and also between responses of surgeons working in the public and private setting. The Fisher-Freeman-Halton test was used to analyse contingency tables greater than 2 × 2 and where there were expected cell counts of less than 5. A p-value of < 0.05 was considered statistically significant. Statistical analyses were performed using SPSS V25 (IBM Corp, Armonk, NY, USA). Open-text responses were analysed using inductive content analysis, performed by LS, who read all responses and generated categories to provide a description of the responses. A second author (AD) reviewed and discussed these categories with the first author, with disagreements resolved by consensus when necessary. As not all survey respondents answered every question, the number of respondents answering a question was used as the denominator for the relevant results of that question and percentages calculated using this denominator. Results: Participants A total of 49 survey responses were received, with 42 being complete and seven including responses to at least 50% of questions. Participant characteristics are shown in Table 1. 29 responses (59.2%) were from vascular surgeons and 20 responses (40.8%) were from orthopaedic surgeons. Most (46; 93.9%) were Royal Australasian College of Surgeons accredited consultants. Table 1Characteristics of the forty nine participantsSurgical specialtyVascular surgeryOrthopaedic surgery29 (59.2%)20 (40.8%)LocationQueenslandNew South WalesSouth AustraliaTasmaniaVictoriaWestern AustraliaAustralian Capital TerritoryNew Zealand29 (59.2%)5 (10.2%)2 (4.1%)1 (2.0%)4 (8.2%)3 (6.1%)2 (4.1%)3 (6.1%)Primary place of workPublic hospitalPrivate practice31 (63.3%)18 (36.7%)Years of medical experience27.0 (9.4)DesignationRACS accredited ConsultantOthers46 (93.9%)3 (6.1%)Data presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons Characteristics of the forty nine participants Location Queensland New South Wales South Australia Tasmania Victoria Western Australia Australian Capital Territory New Zealand 29 (59.2%) 5 (10.2%) 2 (4.1%) 1 (2.0%) 4 (8.2%) 3 (6.1%) 2 (4.1%) 3 (6.1%) Primary place of work Public hospital Private practice 31 (63.3%) 18 (36.7%) Designation RACS accredited Consultant Others 46 (93.9%) 3 (6.1%) Data presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons A total of 49 survey responses were received, with 42 being complete and seven including responses to at least 50% of questions. Participant characteristics are shown in Table 1. 29 responses (59.2%) were from vascular surgeons and 20 responses (40.8%) were from orthopaedic surgeons. Most (46; 93.9%) were Royal Australasian College of Surgeons accredited consultants. Table 1Characteristics of the forty nine participantsSurgical specialtyVascular surgeryOrthopaedic surgery29 (59.2%)20 (40.8%)LocationQueenslandNew South WalesSouth AustraliaTasmaniaVictoriaWestern AustraliaAustralian Capital TerritoryNew Zealand29 (59.2%)5 (10.2%)2 (4.1%)1 (2.0%)4 (8.2%)3 (6.1%)2 (4.1%)3 (6.1%)Primary place of workPublic hospitalPrivate practice31 (63.3%)18 (36.7%)Years of medical experience27.0 (9.4)DesignationRACS accredited ConsultantOthers46 (93.9%)3 (6.1%)Data presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons Characteristics of the forty nine participants Location Queensland New South Wales South Australia Tasmania Victoria Western Australia Australian Capital Territory New Zealand 29 (59.2%) 5 (10.2%) 2 (4.1%) 1 (2.0%) 4 (8.2%) 3 (6.1%) 2 (4.1%) 3 (6.1%) Primary place of work Public hospital Private practice 31 (63.3%) 18 (36.7%) Designation RACS accredited Consultant Others 46 (93.9%) 3 (6.1%) Data presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons Current management practices Responses to questions on current management practices are summarised in Table 2. The severity of infection was determined most commonly by the degree of tissue necrosis (30/49; 61.2%) and/or the extent of erythema (27/49; 55.1%). International classification systems were rarely used to determine the extent of infection (13/49; 26.5%). The most common wound sampling method for guiding the choice of antibiotic was the wound swab (27/49; 55.1%), followed by tissue or bone biopsy (17/49; 34.7%). There was a statistically significant difference (Fisher-Freeman-Halton = 14.512, p < 0.001) in the sampling method preferred by vascular and orthopaedic surgeons. Vascular surgeons (22/29; 75.9%) preferred wound swabs but orthopaedic surgeons (13/20; 65.0%) preferred tissue or bone biopsies to guide antibiotic choice for severe DFI. Most respondents (35/49; 71.4%) did not use a guideline to assist their management of DFI. This finding was consistent in both surgical specialties (x2 = 0.610, p = 0.435). Table 2Current management practicesTotalVascular surgeonsOrthopaedic surgeonsp-valueDetermining extent of infection prior to surgical treatment1Based on international classification system13/49 (26.5%)9/29 (31.0%)4/20 (20.0%)2Based on extent of erythema27/49 (55.1%)18/29 (62.1%)9/20 (45.0%)Based on extent of skin with raised temps19/49 (38.8%)14/29 (48.3%)5/20 (25.0%)Based on amount and type of wound exudate21/49 (42.9%)14/29 (48.3%)7/20 (35.0%)Based on extent of swelling20/49 (40.8%)15/29 (51.7%)5/20 (25.0%)Based on degree of tissue necrosis30/49 (61.2%)19/29 (65.5%)11/20 (55.0%)Others18/49 (36.7%)6/29 (20.7%)12/20 (60.0%)Wound sampling prior to surgical treatmentTissue or bone biopsy17/49 (34.7%)4/29 (13.8%)13/20 (65.0%)p < 0.001 3Wound swab27/49 (55.1%)22/29 (75.9%)5/20 (25.0%)Others5/49 (10.2%)3/29 (10.3%)2/20 (10.0%)Guideline usageYes14/49 (28.6%)10/29 (34.5%)4/20 (7.4%)P = 0.435 4No35/49 (71.4%)19/29 (65.5%)16/20 (29.6%)Antibiotic choicePiperacillin/Tazobactam21/41 (51.2%)13/22 (59.1%)8/19 (42.1%)p = 0.871 3Amoxicillin/Clavulanic acid8/41 (19.5%)4/22 (18.2%)4/19 (21.1%)Cefazolin5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Defer to guidelines or infectious diseases5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Other antibiotics2/41 (4.9%)1/22 (4.5%)1/19 (5.3%)Antibiotic routeIV31/40 (77.5%)18/21 (85.7%)13/19 (68.4%)p = 0.518 3IV + Oral2/40 (5.0%)1/21 (4.8%)1/19 (5.3%)Defer to guidelines or infectious diseases physicians5/40 (12.5%)2/21 (9.5%)3/19 (15.8%)Others2/40 (5.0%)0/21 (0.0%)2/19 (10.5%)Wound dressing selection1Iodine-based dressings26/42 (61.9%)14/22 (63.6%)12/20 (60.0%)2Betadine paint10/42 (23.8%)9/22 (40.9%)1/20 (5.0%)Saline soaked packing19/42 (45.2%)12/22 (54.5%)7/20 (35.0%)Betadine soaked packing13/42 (31.0%)10/22 (45.5%)3/20 (15.0%)Chlorohexidine-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Silver-based dressings23/42 (54.8%)11/22 (50.0%)12/20 (60.0%)Honey-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Negative pressure therapy38/42 (90.5%)19/22 (86.4%)19/20 (95.0%)No dressing2/42 (4.8%)2/22 (9.1%)0/20 (0.0%)Others9/42 (21.4%)8/22 (36.4%)1/20 (5.0%)Wound closure after debridement1Healing by primary closure19/42 (45.2%)10/22 (45.5%)9/20 (45.0%)2Healing by delayed primary closure27/42 (64.3%)13/22 (59.1%)14/20 (70.0%)Superficial skin graft18/42 (42.9%)13/22 (59.1%)5/20 (25.0%)Healing by secondary intention39/42 (92.9%)20/22 (90.9%)19/20 (95.0%)1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction Current management practices 1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction Respondents who used guidelines were also asked to detail what they thought was lacking in the current guidelines. Three main themes were identified from their responses: (i) Treatment-based decisions, (ii) Holistic management and (iii) Local resource considerations. Table 3 reports this in greater detail. Table 3Additional areas to be covered in guidelinesAdditional areas to be covered in guidelinesnTreatment-based decisions• Indications for conservative vs. surgical management• Optimal offloading and biomechanical considerations• Vascular intervention• Imaging criteria• Charcot vs. infection considerations9Holistic management• Co-morbidities• Indicators of function• Patient education• Dietary management of diabetes7Local resource consideration• Distance to nearest hospital• Availability of podiatry services2 Additional areas to be covered in guidelines Treatment-based decisions • Indications for conservative vs. surgical management • Optimal offloading and biomechanical considerations • Vascular intervention • Imaging criteria • Charcot vs. infection considerations Holistic management • Co-morbidities • Indicators of function • Patient education • Dietary management of diabetes Local resource consideration • Distance to nearest hospital • Availability of podiatry services Sample quotes are given below to illustrate these themes: (i) Treatment-based decisions. “The timing of debridement is not clear” (Orthopaedic surgeon 11). “The timing of debridement is not clear” (Orthopaedic surgeon 11). “The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7). “The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7). (ii) Holistic management. “Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21). “Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21). “Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15). “Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15). (iii) Local resource considerations. “Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17). “Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17). Half (21/41; 51.2%) of the respondents indicated that piperacillin combined with tazobactam was their preferred choice of antibiotic for the empirical management of severe DFI. Most (31/40; 77.5%) respondents preferred an intravenous route of antibiotic administration. Few respondents indicated that their choice (5/41; 12.2%) and route (5/40; 12.5%) of antibiotic was based on guidelines or on advice from infectious diseases physicians. There was no statistical difference in the choice and route of delivery for antibiotics between orthopaedic and vascular surgery specialties (Fisher-Freeman-Halton = 1.799, p = 0.871; Fisher-Freeman-Halton = 2.832, p = 0.518). Negative pressure dressings were the most common method used to manage open wounds (38/42; 90.5%) with most wounds left to heal by secondary intention (39/42; 92.9%). Responses to questions on current management practices are summarised in Table 2. The severity of infection was determined most commonly by the degree of tissue necrosis (30/49; 61.2%) and/or the extent of erythema (27/49; 55.1%). International classification systems were rarely used to determine the extent of infection (13/49; 26.5%). The most common wound sampling method for guiding the choice of antibiotic was the wound swab (27/49; 55.1%), followed by tissue or bone biopsy (17/49; 34.7%). There was a statistically significant difference (Fisher-Freeman-Halton = 14.512, p < 0.001) in the sampling method preferred by vascular and orthopaedic surgeons. Vascular surgeons (22/29; 75.9%) preferred wound swabs but orthopaedic surgeons (13/20; 65.0%) preferred tissue or bone biopsies to guide antibiotic choice for severe DFI. Most respondents (35/49; 71.4%) did not use a guideline to assist their management of DFI. This finding was consistent in both surgical specialties (x2 = 0.610, p = 0.435). Table 2Current management practicesTotalVascular surgeonsOrthopaedic surgeonsp-valueDetermining extent of infection prior to surgical treatment1Based on international classification system13/49 (26.5%)9/29 (31.0%)4/20 (20.0%)2Based on extent of erythema27/49 (55.1%)18/29 (62.1%)9/20 (45.0%)Based on extent of skin with raised temps19/49 (38.8%)14/29 (48.3%)5/20 (25.0%)Based on amount and type of wound exudate21/49 (42.9%)14/29 (48.3%)7/20 (35.0%)Based on extent of swelling20/49 (40.8%)15/29 (51.7%)5/20 (25.0%)Based on degree of tissue necrosis30/49 (61.2%)19/29 (65.5%)11/20 (55.0%)Others18/49 (36.7%)6/29 (20.7%)12/20 (60.0%)Wound sampling prior to surgical treatmentTissue or bone biopsy17/49 (34.7%)4/29 (13.8%)13/20 (65.0%)p < 0.001 3Wound swab27/49 (55.1%)22/29 (75.9%)5/20 (25.0%)Others5/49 (10.2%)3/29 (10.3%)2/20 (10.0%)Guideline usageYes14/49 (28.6%)10/29 (34.5%)4/20 (7.4%)P = 0.435 4No35/49 (71.4%)19/29 (65.5%)16/20 (29.6%)Antibiotic choicePiperacillin/Tazobactam21/41 (51.2%)13/22 (59.1%)8/19 (42.1%)p = 0.871 3Amoxicillin/Clavulanic acid8/41 (19.5%)4/22 (18.2%)4/19 (21.1%)Cefazolin5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Defer to guidelines or infectious diseases5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Other antibiotics2/41 (4.9%)1/22 (4.5%)1/19 (5.3%)Antibiotic routeIV31/40 (77.5%)18/21 (85.7%)13/19 (68.4%)p = 0.518 3IV + Oral2/40 (5.0%)1/21 (4.8%)1/19 (5.3%)Defer to guidelines or infectious diseases physicians5/40 (12.5%)2/21 (9.5%)3/19 (15.8%)Others2/40 (5.0%)0/21 (0.0%)2/19 (10.5%)Wound dressing selection1Iodine-based dressings26/42 (61.9%)14/22 (63.6%)12/20 (60.0%)2Betadine paint10/42 (23.8%)9/22 (40.9%)1/20 (5.0%)Saline soaked packing19/42 (45.2%)12/22 (54.5%)7/20 (35.0%)Betadine soaked packing13/42 (31.0%)10/22 (45.5%)3/20 (15.0%)Chlorohexidine-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Silver-based dressings23/42 (54.8%)11/22 (50.0%)12/20 (60.0%)Honey-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Negative pressure therapy38/42 (90.5%)19/22 (86.4%)19/20 (95.0%)No dressing2/42 (4.8%)2/22 (9.1%)0/20 (0.0%)Others9/42 (21.4%)8/22 (36.4%)1/20 (5.0%)Wound closure after debridement1Healing by primary closure19/42 (45.2%)10/22 (45.5%)9/20 (45.0%)2Healing by delayed primary closure27/42 (64.3%)13/22 (59.1%)14/20 (70.0%)Superficial skin graft18/42 (42.9%)13/22 (59.1%)5/20 (25.0%)Healing by secondary intention39/42 (92.9%)20/22 (90.9%)19/20 (95.0%)1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction Current management practices 1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction Respondents who used guidelines were also asked to detail what they thought was lacking in the current guidelines. Three main themes were identified from their responses: (i) Treatment-based decisions, (ii) Holistic management and (iii) Local resource considerations. Table 3 reports this in greater detail. Table 3Additional areas to be covered in guidelinesAdditional areas to be covered in guidelinesnTreatment-based decisions• Indications for conservative vs. surgical management• Optimal offloading and biomechanical considerations• Vascular intervention• Imaging criteria• Charcot vs. infection considerations9Holistic management• Co-morbidities• Indicators of function• Patient education• Dietary management of diabetes7Local resource consideration• Distance to nearest hospital• Availability of podiatry services2 Additional areas to be covered in guidelines Treatment-based decisions • Indications for conservative vs. surgical management • Optimal offloading and biomechanical considerations • Vascular intervention • Imaging criteria • Charcot vs. infection considerations Holistic management • Co-morbidities • Indicators of function • Patient education • Dietary management of diabetes Local resource consideration • Distance to nearest hospital • Availability of podiatry services Sample quotes are given below to illustrate these themes: (i) Treatment-based decisions. “The timing of debridement is not clear” (Orthopaedic surgeon 11). “The timing of debridement is not clear” (Orthopaedic surgeon 11). “The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7). “The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7). (ii) Holistic management. “Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21). “Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21). “Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15). “Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15). (iii) Local resource considerations. “Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17). “Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17). Half (21/41; 51.2%) of the respondents indicated that piperacillin combined with tazobactam was their preferred choice of antibiotic for the empirical management of severe DFI. Most (31/40; 77.5%) respondents preferred an intravenous route of antibiotic administration. Few respondents indicated that their choice (5/41; 12.2%) and route (5/40; 12.5%) of antibiotic was based on guidelines or on advice from infectious diseases physicians. There was no statistical difference in the choice and route of delivery for antibiotics between orthopaedic and vascular surgery specialties (Fisher-Freeman-Halton = 1.799, p = 0.871; Fisher-Freeman-Halton = 2.832, p = 0.518). Negative pressure dressings were the most common method used to manage open wounds (38/42; 90.5%) with most wounds left to heal by secondary intention (39/42; 92.9%). Opinions regarding clinical management and perceptions of further research Table 4 summarises respondents’ opinions about the usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials. Results were reported as median (IQR). The probe-to-bone test (4/5 [3–5]) and magnetic resonance imaging (4/5 [3–5]) were seen as the most useful ways to diagnose osteomyelitis and this was not significantly different between the vascular and orthopaedic surgeons (p = 0.082, p = 0.922). Respondents were confident about making management decisions with a median confidence score of 4 out of 5 in all aspects covered. Respondents indicated greatest confidence in the indications for surgical debridement (5/5 [4, 5]). Respondents felt that there was moderate variation (i.e. median variation score of 3) between specialists in most management decisions. The choice of wound dressing was felt to be particularly variable (4/5 [3–5]). Respondents perceived moderate need (minimum median score of 3) for further randomised controlled trials exploring key aspects of DFI management. There was no statistically significant difference between the response of vascular and orthopaedic surgeons. Table 4Opinions of managing diabetes-related foot infection and osteomyelitisTotalVascular surgeonsOrthopaedic surgeonsp-value 2Usefulness for diagnosing diabetic foot osteomyelitis1Probe-to-bone test35/494 (3–5)19/294 (3–5)16/203 (2–4)p = 0.082Bone biopsy35/493 (2–5)18/293 (2–4)17/204 (2–5)p = 0.303Plain x-ray40/493 (2–4)22/293 (2–4)18/203.5 (2–4)p = 0.757Magnetic resonance imaging39/494 (3–5)21/294 (3.5–5)18/204 (3–5)p = 0.922Bone scan24/493 (2–4)12/293 (2–4)12/203 (2–3.75)p = 0.478PET-CT scan19/493 (3–4)10/293 (2.75–4)9/204 (3–4)p = 0.720Confidence in: 1Wound dressing choice40/494 (3.25–5)21/295 (4–5)19/204 (3–4)P = 0.065Antibiotic choice39/494 (4–5)21/294 (4–5)18/204 (3–4)P = 0.053Antibiotic duration40/494 (3–4)22/293.5 (3–4)18/204 (3–4)P = 0.638Indications for removal of infected bone41/494 (4–5)22/294.5 (4–5)19/204 (4–5)P = 0.954Indications for surgical debridement42/495 (4–5)22/295 (4–5)20/204 (4–5)P = 0.083Extent of surgical debridement42/494 (4–5)22/295 (4–5)20/204 (4–5)P = 0.190Variation in: 1Wound dressing choice41/494 (3–5)21/294 (3.5–5)20/204 (3–4)p = 0.122Antibiotic choice40/493 (2–4)21/293 (2–3.5)19/203 (2–4)p = 0.830Antibiotic duration40/493 (2–3.75)21/293 (3–4)19/203 (2–4)P = 0.320Indications for removal of infected bone38/493 (3–4)19/293 (2–3)19/203 (2–4)P = 0.525Indications for surgical debridement38/493 (2–4)20/293 (2–4)18/203 (2–4)P = 0.806Extent of surgical debridement41/493 (2–4)21/293 (2–4)20/203 (2–4)P = 0.764Need for further randomised clinical trials exploring: 1Wound dressing choice31/494 (3–4)16/294 (3–5)15/203 (3–4)p = 0.216Antibiotic choice33/493 (2–4)18/293 (2–4)15/203 (2–4)p = 0.789Antibiotic duration35/494 (3–4)18/294 (3–4)17/204 (2.5–4)p = 0.732Indications for removal of infected bone34/494 (3–5)17/294 (3–5)17/204 (2.5–5)p = 0.610Indications for surgical debridement32/494 (2–5)14/294 (2–4.25)18/204 (2.75–5)p = 0.639Extent of surgical debridement34/494 (2.75–4.25)16/294 (3–4.75)18/204 (2–4.25)p = 0.5061 Reported as median (IQR), 2 Mann-Whitney U test Opinions of managing diabetes-related foot infection and osteomyelitis 35/49 4 (3–5) 19/29 4 (3–5) 16/20 3 (2–4) 35/49 3 (2–5) 18/29 3 (2–4) 17/20 4 (2–5) 40/49 3 (2–4) 22/29 3 (2–4) 18/20 3.5 (2–4) 39/49 4 (3–5) 21/29 4 (3.5–5) 18/20 4 (3–5) 24/49 3 (2–4) 12/29 3 (2–4) 12/20 3 (2–3.75) 19/49 3 (3–4) 10/29 3 (2.75–4) 9/20 4 (3–4) 40/49 4 (3.25–5) 21/29 5 (4–5) 19/20 4 (3–4) 39/49 4 (4–5) 21/29 4 (4–5) 18/20 4 (3–4) 40/49 4 (3–4) 22/29 3.5 (3–4) 18/20 4 (3–4) 41/49 4 (4–5) 22/29 4.5 (4–5) 19/20 4 (4–5) 42/49 5 (4–5) 22/29 5 (4–5) 20/20 4 (4–5) 42/49 4 (4–5) 22/29 5 (4–5) 20/20 4 (4–5) 41/49 4 (3–5) 21/29 4 (3.5–5) 20/20 4 (3–4) 40/49 3 (2–4) 21/29 3 (2–3.5) 19/20 3 (2–4) 40/49 3 (2–3.75) 21/29 3 (3–4) 19/20 3 (2–4) 38/49 3 (3–4) 19/29 3 (2–3) 19/20 3 (2–4) 38/49 3 (2–4) 20/29 3 (2–4) 18/20 3 (2–4) 41/49 3 (2–4) 21/29 3 (2–4) 20/20 3 (2–4) 31/49 4 (3–4) 16/29 4 (3–5) 15/20 3 (3–4) 33/49 3 (2–4) 18/29 3 (2–4) 15/20 3 (2–4) 35/49 4 (3–4) 18/29 4 (3–4) 17/20 4 (2.5–4) 34/49 4 (3–5) 17/29 4 (3–5) 17/20 4 (2.5–5) 32/49 4 (2–5) 14/29 4 (2–4.25) 18/20 4 (2.75–5) 34/49 4 (2.75–4.25) 16/29 4 (3–4.75) 18/20 4 (2–4.25) 1 Reported as median (IQR), 2 Mann-Whitney U test In an optional open-ended question, respondents were asked about their management decision for revascularisation. Content analysis identified two main themes: (i) Revasularisation decision based on assessment of the severity of ischemia and (ii) Referral to vascular surgery for revasularisation decisions. Table 5 reports this in greater detail. Table 5Revascularisation decisionsRevascularisation decisionTotalVascular surgeryOrthopaedic surgerySeverity of ischemia determined via:• Toe pressures/ABI 1• Palpation of foot/lower limb pulses• Imaging modalities• Wound healing & appearance23/33 (69.7%)18/18 (100.0%)5/15 (33.3%)Referral to vascular surgery10/33 (30.3%)0/18 (0%)10/15 (66.7%)1 ABI = Ankle brachial pressure index Revascularisation decisions Severity of ischemia determined via: • Toe pressures/ABI 1 • Palpation of foot/lower limb pulses • Imaging modalities • Wound healing & appearance 1 ABI = Ankle brachial pressure index Sample quotes are given below: (i) Severity of ischemia. This theme formed the largest section of comments (23/33; 69.7%). All vascular surgeons who commented (18/18; 100.0%) on this question mentioned that they would make revascularisation decisions based on the severity of ischemia. These were determined using a combination of imaging modalities, ankle and toe Doppler pressures, palpation of pulses and/or based on the healing and appearance of the wound itself. “Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29). “Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29). “Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22). “Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22). (ii) Referral to vascular surgery. In contrast, a majority of orthopaedic surgeons who commented on this question mentioned that they would refer to vascular surgery to make revascularisation decisions (10/15; 66.7%). “Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15). “Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15). Table 4 summarises respondents’ opinions about the usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials. Results were reported as median (IQR). The probe-to-bone test (4/5 [3–5]) and magnetic resonance imaging (4/5 [3–5]) were seen as the most useful ways to diagnose osteomyelitis and this was not significantly different between the vascular and orthopaedic surgeons (p = 0.082, p = 0.922). Respondents were confident about making management decisions with a median confidence score of 4 out of 5 in all aspects covered. Respondents indicated greatest confidence in the indications for surgical debridement (5/5 [4, 5]). Respondents felt that there was moderate variation (i.e. median variation score of 3) between specialists in most management decisions. The choice of wound dressing was felt to be particularly variable (4/5 [3–5]). Respondents perceived moderate need (minimum median score of 3) for further randomised controlled trials exploring key aspects of DFI management. There was no statistically significant difference between the response of vascular and orthopaedic surgeons. Table 4Opinions of managing diabetes-related foot infection and osteomyelitisTotalVascular surgeonsOrthopaedic surgeonsp-value 2Usefulness for diagnosing diabetic foot osteomyelitis1Probe-to-bone test35/494 (3–5)19/294 (3–5)16/203 (2–4)p = 0.082Bone biopsy35/493 (2–5)18/293 (2–4)17/204 (2–5)p = 0.303Plain x-ray40/493 (2–4)22/293 (2–4)18/203.5 (2–4)p = 0.757Magnetic resonance imaging39/494 (3–5)21/294 (3.5–5)18/204 (3–5)p = 0.922Bone scan24/493 (2–4)12/293 (2–4)12/203 (2–3.75)p = 0.478PET-CT scan19/493 (3–4)10/293 (2.75–4)9/204 (3–4)p = 0.720Confidence in: 1Wound dressing choice40/494 (3.25–5)21/295 (4–5)19/204 (3–4)P = 0.065Antibiotic choice39/494 (4–5)21/294 (4–5)18/204 (3–4)P = 0.053Antibiotic duration40/494 (3–4)22/293.5 (3–4)18/204 (3–4)P = 0.638Indications for removal of infected bone41/494 (4–5)22/294.5 (4–5)19/204 (4–5)P = 0.954Indications for surgical debridement42/495 (4–5)22/295 (4–5)20/204 (4–5)P = 0.083Extent of surgical debridement42/494 (4–5)22/295 (4–5)20/204 (4–5)P = 0.190Variation in: 1Wound dressing choice41/494 (3–5)21/294 (3.5–5)20/204 (3–4)p = 0.122Antibiotic choice40/493 (2–4)21/293 (2–3.5)19/203 (2–4)p = 0.830Antibiotic duration40/493 (2–3.75)21/293 (3–4)19/203 (2–4)P = 0.320Indications for removal of infected bone38/493 (3–4)19/293 (2–3)19/203 (2–4)P = 0.525Indications for surgical debridement38/493 (2–4)20/293 (2–4)18/203 (2–4)P = 0.806Extent of surgical debridement41/493 (2–4)21/293 (2–4)20/203 (2–4)P = 0.764Need for further randomised clinical trials exploring: 1Wound dressing choice31/494 (3–4)16/294 (3–5)15/203 (3–4)p = 0.216Antibiotic choice33/493 (2–4)18/293 (2–4)15/203 (2–4)p = 0.789Antibiotic duration35/494 (3–4)18/294 (3–4)17/204 (2.5–4)p = 0.732Indications for removal of infected bone34/494 (3–5)17/294 (3–5)17/204 (2.5–5)p = 0.610Indications for surgical debridement32/494 (2–5)14/294 (2–4.25)18/204 (2.75–5)p = 0.639Extent of surgical debridement34/494 (2.75–4.25)16/294 (3–4.75)18/204 (2–4.25)p = 0.5061 Reported as median (IQR), 2 Mann-Whitney U test Opinions of managing diabetes-related foot infection and osteomyelitis 35/49 4 (3–5) 19/29 4 (3–5) 16/20 3 (2–4) 35/49 3 (2–5) 18/29 3 (2–4) 17/20 4 (2–5) 40/49 3 (2–4) 22/29 3 (2–4) 18/20 3.5 (2–4) 39/49 4 (3–5) 21/29 4 (3.5–5) 18/20 4 (3–5) 24/49 3 (2–4) 12/29 3 (2–4) 12/20 3 (2–3.75) 19/49 3 (3–4) 10/29 3 (2.75–4) 9/20 4 (3–4) 40/49 4 (3.25–5) 21/29 5 (4–5) 19/20 4 (3–4) 39/49 4 (4–5) 21/29 4 (4–5) 18/20 4 (3–4) 40/49 4 (3–4) 22/29 3.5 (3–4) 18/20 4 (3–4) 41/49 4 (4–5) 22/29 4.5 (4–5) 19/20 4 (4–5) 42/49 5 (4–5) 22/29 5 (4–5) 20/20 4 (4–5) 42/49 4 (4–5) 22/29 5 (4–5) 20/20 4 (4–5) 41/49 4 (3–5) 21/29 4 (3.5–5) 20/20 4 (3–4) 40/49 3 (2–4) 21/29 3 (2–3.5) 19/20 3 (2–4) 40/49 3 (2–3.75) 21/29 3 (3–4) 19/20 3 (2–4) 38/49 3 (3–4) 19/29 3 (2–3) 19/20 3 (2–4) 38/49 3 (2–4) 20/29 3 (2–4) 18/20 3 (2–4) 41/49 3 (2–4) 21/29 3 (2–4) 20/20 3 (2–4) 31/49 4 (3–4) 16/29 4 (3–5) 15/20 3 (3–4) 33/49 3 (2–4) 18/29 3 (2–4) 15/20 3 (2–4) 35/49 4 (3–4) 18/29 4 (3–4) 17/20 4 (2.5–4) 34/49 4 (3–5) 17/29 4 (3–5) 17/20 4 (2.5–5) 32/49 4 (2–5) 14/29 4 (2–4.25) 18/20 4 (2.75–5) 34/49 4 (2.75–4.25) 16/29 4 (3–4.75) 18/20 4 (2–4.25) 1 Reported as median (IQR), 2 Mann-Whitney U test In an optional open-ended question, respondents were asked about their management decision for revascularisation. Content analysis identified two main themes: (i) Revasularisation decision based on assessment of the severity of ischemia and (ii) Referral to vascular surgery for revasularisation decisions. Table 5 reports this in greater detail. Table 5Revascularisation decisionsRevascularisation decisionTotalVascular surgeryOrthopaedic surgerySeverity of ischemia determined via:• Toe pressures/ABI 1• Palpation of foot/lower limb pulses• Imaging modalities• Wound healing & appearance23/33 (69.7%)18/18 (100.0%)5/15 (33.3%)Referral to vascular surgery10/33 (30.3%)0/18 (0%)10/15 (66.7%)1 ABI = Ankle brachial pressure index Revascularisation decisions Severity of ischemia determined via: • Toe pressures/ABI 1 • Palpation of foot/lower limb pulses • Imaging modalities • Wound healing & appearance 1 ABI = Ankle brachial pressure index Sample quotes are given below: (i) Severity of ischemia. This theme formed the largest section of comments (23/33; 69.7%). All vascular surgeons who commented (18/18; 100.0%) on this question mentioned that they would make revascularisation decisions based on the severity of ischemia. These were determined using a combination of imaging modalities, ankle and toe Doppler pressures, palpation of pulses and/or based on the healing and appearance of the wound itself. “Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29). “Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29). “Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22). “Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22). (ii) Referral to vascular surgery. In contrast, a majority of orthopaedic surgeons who commented on this question mentioned that they would refer to vascular surgery to make revascularisation decisions (10/15; 66.7%). “Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15). “Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15). Private vs. public setting differences The responses of surgeons that mainly worked in public hospitals were not significantly different to those mainly working in the private sector, with one exception (Additional File 2). Surgeons working privately were more likely to see value (4/5 on a 5-point Likert rating scale) in RCTs testing different wound dressings compared to those working in the public setting (3/5) (p = 0.040). The responses of surgeons that mainly worked in public hospitals were not significantly different to those mainly working in the private sector, with one exception (Additional File 2). Surgeons working privately were more likely to see value (4/5 on a 5-point Likert rating scale) in RCTs testing different wound dressings compared to those working in the public setting (3/5) (p = 0.040). Participants: A total of 49 survey responses were received, with 42 being complete and seven including responses to at least 50% of questions. Participant characteristics are shown in Table 1. 29 responses (59.2%) were from vascular surgeons and 20 responses (40.8%) were from orthopaedic surgeons. Most (46; 93.9%) were Royal Australasian College of Surgeons accredited consultants. Table 1Characteristics of the forty nine participantsSurgical specialtyVascular surgeryOrthopaedic surgery29 (59.2%)20 (40.8%)LocationQueenslandNew South WalesSouth AustraliaTasmaniaVictoriaWestern AustraliaAustralian Capital TerritoryNew Zealand29 (59.2%)5 (10.2%)2 (4.1%)1 (2.0%)4 (8.2%)3 (6.1%)2 (4.1%)3 (6.1%)Primary place of workPublic hospitalPrivate practice31 (63.3%)18 (36.7%)Years of medical experience27.0 (9.4)DesignationRACS accredited ConsultantOthers46 (93.9%)3 (6.1%)Data presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons Characteristics of the forty nine participants Location Queensland New South Wales South Australia Tasmania Victoria Western Australia Australian Capital Territory New Zealand 29 (59.2%) 5 (10.2%) 2 (4.1%) 1 (2.0%) 4 (8.2%) 3 (6.1%) 2 (4.1%) 3 (6.1%) Primary place of work Public hospital Private practice 31 (63.3%) 18 (36.7%) Designation RACS accredited Consultant Others 46 (93.9%) 3 (6.1%) Data presented as number (%) and mean (standard deviation). RACS = Royal Australasian College of Surgeons Current management practices: Responses to questions on current management practices are summarised in Table 2. The severity of infection was determined most commonly by the degree of tissue necrosis (30/49; 61.2%) and/or the extent of erythema (27/49; 55.1%). International classification systems were rarely used to determine the extent of infection (13/49; 26.5%). The most common wound sampling method for guiding the choice of antibiotic was the wound swab (27/49; 55.1%), followed by tissue or bone biopsy (17/49; 34.7%). There was a statistically significant difference (Fisher-Freeman-Halton = 14.512, p < 0.001) in the sampling method preferred by vascular and orthopaedic surgeons. Vascular surgeons (22/29; 75.9%) preferred wound swabs but orthopaedic surgeons (13/20; 65.0%) preferred tissue or bone biopsies to guide antibiotic choice for severe DFI. Most respondents (35/49; 71.4%) did not use a guideline to assist their management of DFI. This finding was consistent in both surgical specialties (x2 = 0.610, p = 0.435). Table 2Current management practicesTotalVascular surgeonsOrthopaedic surgeonsp-valueDetermining extent of infection prior to surgical treatment1Based on international classification system13/49 (26.5%)9/29 (31.0%)4/20 (20.0%)2Based on extent of erythema27/49 (55.1%)18/29 (62.1%)9/20 (45.0%)Based on extent of skin with raised temps19/49 (38.8%)14/29 (48.3%)5/20 (25.0%)Based on amount and type of wound exudate21/49 (42.9%)14/29 (48.3%)7/20 (35.0%)Based on extent of swelling20/49 (40.8%)15/29 (51.7%)5/20 (25.0%)Based on degree of tissue necrosis30/49 (61.2%)19/29 (65.5%)11/20 (55.0%)Others18/49 (36.7%)6/29 (20.7%)12/20 (60.0%)Wound sampling prior to surgical treatmentTissue or bone biopsy17/49 (34.7%)4/29 (13.8%)13/20 (65.0%)p < 0.001 3Wound swab27/49 (55.1%)22/29 (75.9%)5/20 (25.0%)Others5/49 (10.2%)3/29 (10.3%)2/20 (10.0%)Guideline usageYes14/49 (28.6%)10/29 (34.5%)4/20 (7.4%)P = 0.435 4No35/49 (71.4%)19/29 (65.5%)16/20 (29.6%)Antibiotic choicePiperacillin/Tazobactam21/41 (51.2%)13/22 (59.1%)8/19 (42.1%)p = 0.871 3Amoxicillin/Clavulanic acid8/41 (19.5%)4/22 (18.2%)4/19 (21.1%)Cefazolin5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Defer to guidelines or infectious diseases5/41 (12.2%)2/22 (9.1%)3/19 (15.8%)Other antibiotics2/41 (4.9%)1/22 (4.5%)1/19 (5.3%)Antibiotic routeIV31/40 (77.5%)18/21 (85.7%)13/19 (68.4%)p = 0.518 3IV + Oral2/40 (5.0%)1/21 (4.8%)1/19 (5.3%)Defer to guidelines or infectious diseases physicians5/40 (12.5%)2/21 (9.5%)3/19 (15.8%)Others2/40 (5.0%)0/21 (0.0%)2/19 (10.5%)Wound dressing selection1Iodine-based dressings26/42 (61.9%)14/22 (63.6%)12/20 (60.0%)2Betadine paint10/42 (23.8%)9/22 (40.9%)1/20 (5.0%)Saline soaked packing19/42 (45.2%)12/22 (54.5%)7/20 (35.0%)Betadine soaked packing13/42 (31.0%)10/22 (45.5%)3/20 (15.0%)Chlorohexidine-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Silver-based dressings23/42 (54.8%)11/22 (50.0%)12/20 (60.0%)Honey-based dressings1/42 (2.4%)0/22 (0.0%)1/20 (5.0%)Negative pressure therapy38/42 (90.5%)19/22 (86.4%)19/20 (95.0%)No dressing2/42 (4.8%)2/22 (9.1%)0/20 (0.0%)Others9/42 (21.4%)8/22 (36.4%)1/20 (5.0%)Wound closure after debridement1Healing by primary closure19/42 (45.2%)10/22 (45.5%)9/20 (45.0%)2Healing by delayed primary closure27/42 (64.3%)13/22 (59.1%)14/20 (70.0%)Superficial skin graft18/42 (42.9%)13/22 (59.1%)5/20 (25.0%)Healing by secondary intention39/42 (92.9%)20/22 (90.9%)19/20 (95.0%)1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction Current management practices 1% do not add up to 100% as participants could select multiple responses, 2 As responders could indicate a positive response to more than one option statistical testing was not possible due to the dependence of responses, 3 Fisher-Freeman-Halton test, 4 Yates continuity correction Respondents who used guidelines were also asked to detail what they thought was lacking in the current guidelines. Three main themes were identified from their responses: (i) Treatment-based decisions, (ii) Holistic management and (iii) Local resource considerations. Table 3 reports this in greater detail. Table 3Additional areas to be covered in guidelinesAdditional areas to be covered in guidelinesnTreatment-based decisions• Indications for conservative vs. surgical management• Optimal offloading and biomechanical considerations• Vascular intervention• Imaging criteria• Charcot vs. infection considerations9Holistic management• Co-morbidities• Indicators of function• Patient education• Dietary management of diabetes7Local resource consideration• Distance to nearest hospital• Availability of podiatry services2 Additional areas to be covered in guidelines Treatment-based decisions • Indications for conservative vs. surgical management • Optimal offloading and biomechanical considerations • Vascular intervention • Imaging criteria • Charcot vs. infection considerations Holistic management • Co-morbidities • Indicators of function • Patient education • Dietary management of diabetes Local resource consideration • Distance to nearest hospital • Availability of podiatry services Sample quotes are given below to illustrate these themes: (i) Treatment-based decisions. “The timing of debridement is not clear” (Orthopaedic surgeon 11). “The timing of debridement is not clear” (Orthopaedic surgeon 11). “The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7). “The role of total contact casting. Determining infection vs Charcot arthropathy.” (Orthopaedic surgeon 7). (ii) Holistic management. “Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21). “Adding patients’ baseline levels (ADSLs)… life expectancy and other co-morbidities into equation” (Vascular surgeon 21). “Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15). “Long-term indicators of function (i.e. cognitive assessment; health literacy; social networking)” (Vascular surgeon 15). (iii) Local resource considerations. “Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17). “Consideration of local resources available like podiatry services.” (Orthopaedic surgeon 17). Half (21/41; 51.2%) of the respondents indicated that piperacillin combined with tazobactam was their preferred choice of antibiotic for the empirical management of severe DFI. Most (31/40; 77.5%) respondents preferred an intravenous route of antibiotic administration. Few respondents indicated that their choice (5/41; 12.2%) and route (5/40; 12.5%) of antibiotic was based on guidelines or on advice from infectious diseases physicians. There was no statistical difference in the choice and route of delivery for antibiotics between orthopaedic and vascular surgery specialties (Fisher-Freeman-Halton = 1.799, p = 0.871; Fisher-Freeman-Halton = 2.832, p = 0.518). Negative pressure dressings were the most common method used to manage open wounds (38/42; 90.5%) with most wounds left to heal by secondary intention (39/42; 92.9%). Opinions regarding clinical management and perceptions of further research: Table 4 summarises respondents’ opinions about the usefulness of diagnostic modalities for osteomyelitis, variation in clinical practice, confidence in managing key aspects of DFI and perceptions on the need for further clinical trials. Results were reported as median (IQR). The probe-to-bone test (4/5 [3–5]) and magnetic resonance imaging (4/5 [3–5]) were seen as the most useful ways to diagnose osteomyelitis and this was not significantly different between the vascular and orthopaedic surgeons (p = 0.082, p = 0.922). Respondents were confident about making management decisions with a median confidence score of 4 out of 5 in all aspects covered. Respondents indicated greatest confidence in the indications for surgical debridement (5/5 [4, 5]). Respondents felt that there was moderate variation (i.e. median variation score of 3) between specialists in most management decisions. The choice of wound dressing was felt to be particularly variable (4/5 [3–5]). Respondents perceived moderate need (minimum median score of 3) for further randomised controlled trials exploring key aspects of DFI management. There was no statistically significant difference between the response of vascular and orthopaedic surgeons. Table 4Opinions of managing diabetes-related foot infection and osteomyelitisTotalVascular surgeonsOrthopaedic surgeonsp-value 2Usefulness for diagnosing diabetic foot osteomyelitis1Probe-to-bone test35/494 (3–5)19/294 (3–5)16/203 (2–4)p = 0.082Bone biopsy35/493 (2–5)18/293 (2–4)17/204 (2–5)p = 0.303Plain x-ray40/493 (2–4)22/293 (2–4)18/203.5 (2–4)p = 0.757Magnetic resonance imaging39/494 (3–5)21/294 (3.5–5)18/204 (3–5)p = 0.922Bone scan24/493 (2–4)12/293 (2–4)12/203 (2–3.75)p = 0.478PET-CT scan19/493 (3–4)10/293 (2.75–4)9/204 (3–4)p = 0.720Confidence in: 1Wound dressing choice40/494 (3.25–5)21/295 (4–5)19/204 (3–4)P = 0.065Antibiotic choice39/494 (4–5)21/294 (4–5)18/204 (3–4)P = 0.053Antibiotic duration40/494 (3–4)22/293.5 (3–4)18/204 (3–4)P = 0.638Indications for removal of infected bone41/494 (4–5)22/294.5 (4–5)19/204 (4–5)P = 0.954Indications for surgical debridement42/495 (4–5)22/295 (4–5)20/204 (4–5)P = 0.083Extent of surgical debridement42/494 (4–5)22/295 (4–5)20/204 (4–5)P = 0.190Variation in: 1Wound dressing choice41/494 (3–5)21/294 (3.5–5)20/204 (3–4)p = 0.122Antibiotic choice40/493 (2–4)21/293 (2–3.5)19/203 (2–4)p = 0.830Antibiotic duration40/493 (2–3.75)21/293 (3–4)19/203 (2–4)P = 0.320Indications for removal of infected bone38/493 (3–4)19/293 (2–3)19/203 (2–4)P = 0.525Indications for surgical debridement38/493 (2–4)20/293 (2–4)18/203 (2–4)P = 0.806Extent of surgical debridement41/493 (2–4)21/293 (2–4)20/203 (2–4)P = 0.764Need for further randomised clinical trials exploring: 1Wound dressing choice31/494 (3–4)16/294 (3–5)15/203 (3–4)p = 0.216Antibiotic choice33/493 (2–4)18/293 (2–4)15/203 (2–4)p = 0.789Antibiotic duration35/494 (3–4)18/294 (3–4)17/204 (2.5–4)p = 0.732Indications for removal of infected bone34/494 (3–5)17/294 (3–5)17/204 (2.5–5)p = 0.610Indications for surgical debridement32/494 (2–5)14/294 (2–4.25)18/204 (2.75–5)p = 0.639Extent of surgical debridement34/494 (2.75–4.25)16/294 (3–4.75)18/204 (2–4.25)p = 0.5061 Reported as median (IQR), 2 Mann-Whitney U test Opinions of managing diabetes-related foot infection and osteomyelitis 35/49 4 (3–5) 19/29 4 (3–5) 16/20 3 (2–4) 35/49 3 (2–5) 18/29 3 (2–4) 17/20 4 (2–5) 40/49 3 (2–4) 22/29 3 (2–4) 18/20 3.5 (2–4) 39/49 4 (3–5) 21/29 4 (3.5–5) 18/20 4 (3–5) 24/49 3 (2–4) 12/29 3 (2–4) 12/20 3 (2–3.75) 19/49 3 (3–4) 10/29 3 (2.75–4) 9/20 4 (3–4) 40/49 4 (3.25–5) 21/29 5 (4–5) 19/20 4 (3–4) 39/49 4 (4–5) 21/29 4 (4–5) 18/20 4 (3–4) 40/49 4 (3–4) 22/29 3.5 (3–4) 18/20 4 (3–4) 41/49 4 (4–5) 22/29 4.5 (4–5) 19/20 4 (4–5) 42/49 5 (4–5) 22/29 5 (4–5) 20/20 4 (4–5) 42/49 4 (4–5) 22/29 5 (4–5) 20/20 4 (4–5) 41/49 4 (3–5) 21/29 4 (3.5–5) 20/20 4 (3–4) 40/49 3 (2–4) 21/29 3 (2–3.5) 19/20 3 (2–4) 40/49 3 (2–3.75) 21/29 3 (3–4) 19/20 3 (2–4) 38/49 3 (3–4) 19/29 3 (2–3) 19/20 3 (2–4) 38/49 3 (2–4) 20/29 3 (2–4) 18/20 3 (2–4) 41/49 3 (2–4) 21/29 3 (2–4) 20/20 3 (2–4) 31/49 4 (3–4) 16/29 4 (3–5) 15/20 3 (3–4) 33/49 3 (2–4) 18/29 3 (2–4) 15/20 3 (2–4) 35/49 4 (3–4) 18/29 4 (3–4) 17/20 4 (2.5–4) 34/49 4 (3–5) 17/29 4 (3–5) 17/20 4 (2.5–5) 32/49 4 (2–5) 14/29 4 (2–4.25) 18/20 4 (2.75–5) 34/49 4 (2.75–4.25) 16/29 4 (3–4.75) 18/20 4 (2–4.25) 1 Reported as median (IQR), 2 Mann-Whitney U test In an optional open-ended question, respondents were asked about their management decision for revascularisation. Content analysis identified two main themes: (i) Revasularisation decision based on assessment of the severity of ischemia and (ii) Referral to vascular surgery for revasularisation decisions. Table 5 reports this in greater detail. Table 5Revascularisation decisionsRevascularisation decisionTotalVascular surgeryOrthopaedic surgerySeverity of ischemia determined via:• Toe pressures/ABI 1• Palpation of foot/lower limb pulses• Imaging modalities• Wound healing & appearance23/33 (69.7%)18/18 (100.0%)5/15 (33.3%)Referral to vascular surgery10/33 (30.3%)0/18 (0%)10/15 (66.7%)1 ABI = Ankle brachial pressure index Revascularisation decisions Severity of ischemia determined via: • Toe pressures/ABI 1 • Palpation of foot/lower limb pulses • Imaging modalities • Wound healing & appearance 1 ABI = Ankle brachial pressure index Sample quotes are given below: (i) Severity of ischemia. This theme formed the largest section of comments (23/33; 69.7%). All vascular surgeons who commented (18/18; 100.0%) on this question mentioned that they would make revascularisation decisions based on the severity of ischemia. These were determined using a combination of imaging modalities, ankle and toe Doppler pressures, palpation of pulses and/or based on the healing and appearance of the wound itself. “Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29). “Clinical assessment along with aid of toe pressures, duplex ultrasound and addition of MRA or angiography.” (Vascular surgeon 29). “Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22). “Degree of ischemia of tissues clinically, absent pulses and toe pressures.” (Vascular surgeon 22). (ii) Referral to vascular surgery. In contrast, a majority of orthopaedic surgeons who commented on this question mentioned that they would refer to vascular surgery to make revascularisation decisions (10/15; 66.7%). “Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15). “Vascular consults, guided by their (vascular surgery) valued opinion – if they believe there is a benefit we run with it.” (Orthopaedic surgeon 15). Private vs. public setting differences: The responses of surgeons that mainly worked in public hospitals were not significantly different to those mainly working in the private sector, with one exception (Additional File 2). Surgeons working privately were more likely to see value (4/5 on a 5-point Likert rating scale) in RCTs testing different wound dressings compared to those working in the public setting (3/5) (p = 0.040). Discussion: This study is the first to report the opinions of surgeons about management of severe DFI. The main finding was that relatively few vascular and orthopaedic surgeons felt guidelines were valuable in guiding decisions on DFI management. Vascular and orthopedic surgeons did not defer significantly in their responses on most management aspects such as the type of empirical antibiotic, method to diagnose DFO and dressing selection. There was a notable difference in the wound sampling method preferred to guide choice of antibiotic. Vascular surgeons were more inclined to use wound swabs compared to orthopaedic surgeons who preferred tissue or bone biopsies. The reason for this variation is not clear and might warrant further investigation. Currently, best-practice guidelines recommend a tissue or bone biopsy as gold standard in determining the causative pathogen for osteomyelitis [3]. Bone biopsy is invasive and it is likely vascular surgeons may have felt it inappropriate to perform a bone biopsy unless an amputation was being performed as part of clinical care. Less than one-third of respondents indicated they used clinical guidelines to guide their management of DFI. The survey did not gather information on the reasons for this, though one possible explanation is the lack of focused guidelines on the surgical management of DFI. For example, the current IWGDF guidelines include only a handful of recommendations on the surgical management of DFI [3]. A number of respondents indicated in their free text responses that guidelines could be improved by covering specific treatment decisions and providing a more holistic management approach. Past research suggest that barriers to use of best-practice guidelines for wound care include the heterogeneous presentation of DFI, complexity of best-practice recommendations and lack of financial incentives to following best practice [12, 13]. Warriner and Carter in their review of wound care guidelines suggested that these could be advanced by greater patient involvement and more complete consideration of the effect of varying resources on implementation, such as the impact of a tertiary hospital versus a regional setting [13]. Currently, the International Working Group on the Diabetic Foot (IWGDF) guidelines are recommended for clinical management of DFI in Australia [11]. It is likely that the IWGDF guideline, although evidence-based, lacks contextualisation to the local situation and is therefore not widely adopted, as evidenced in our survey. Work is currently being undertaken to develop up-to-date Australian-specific guidelines for diabetes-related foot management using the IWGDF guidelines as a reference [14]. The development of the Australian-specific guidelines has undergone rigorous initial public consultations and review by local experts, with an up-to-date Australian guideline expected to be released later this year [14]. It is also important to note the lack of randomised controlled trials testing different surgical approaches for DFI means that current guidelines lack high-quality evidence to inform recommendations. The lack of large randomised controlled trials to inform best management of diabetes-related foot disease makes it challenging to provide  recommendations. Survey respondents agreed on the usefulness of the probe-to-bone test and magnetic resonance imaging (MRI) in diagnosing osteomyelitis. This is in line with past research and current guidelines [15–17]. Although survey respondents were confident in managing DFI, they indicated there was a moderate variation in management, particularly in relation to choice of wound dressing. Given the myriad of wound dressings available and the varying costs associated with different types of wound dressings this is not surprising. Currently, there is no robust evidence suggesting superiority of one dressing over another and best-practice guidelines suggest the choice of dressings should be based on wound healing principles, dressing costs and patient preferences. For treatment of infected wounds, dressings should contain antimicrobial properties [18, 19]. For management of a post-surgical diabetes-related foot wound, current guidelines suggest considering the use of negative pressure wound therapy [19]. Similar to this study a survey amongst Australian and New Zealand infectious diseases physicians suggested they preferred using MRI to diagnose osteomyelitis and reported limited use of clinical guideline to aid management of DFI [9].The majority of infectious diseases physicians preferred using superficial swabs to guide the use of antibiotics. The heterogeneity of antimicrobial treatments reported in the survey of infectious diseases physicians was less evident in the current survey, with approximately half of respondents indicating piperacillin combined with tazobactam was the preferred antibiotic. A possible explanation for this disparity is that the current survey asked about the initial empirical antibiotic management of DFI and thus it was expected that respondents would list an antibiotic that provides a broad spectrum of antimicrobial cover. Survey respondents identified a moderate need for further clinical trials testing key aspects of management. This is in keeping with the IWGDF guidelines and a recently published systematic review, which have highlighted uncertainties in many areas of managing DFI due to the lack of high-quality clinical trials [3, 6]. Surgeons that mainly worked in the private sector perceived greater value in randomised clinical trials testing wound dressings than those working at public hospitals. The reasons for this difference are not clear but could relate to greater availability of different types of dressings within the private than public setting due to disparate economic situations. The strengths of this study include the inclusion of open-ended survey questions, which have provided greater insight into DFI management in vascular and orthopaedic surgeon respondents. This study also had several limitations which should be considered when interpreting the results. Firstly, as the surveys were disseminated through multiple professional societies, it was not possible to determine the response rate. The findings are also subject to participant bias, with respondents expected to be more likely than non-responders to have an interest or expertise in managing DFI. In addition, it was not possible to examine variation in DFI practice, particularly between surgeons working in metropolitan and regional areas as postcodes of respondents were not collected. Also, the survey tool was piloted only amongst vascular and not orthopaedic surgeons, meaning the tool may have not been optimised for orthopaedic surgeons and may have missed answering key questions of this speciality. Over half of the participants were from Queensland, and while there were no differences identified between participants according to state of practice, the results may be less representative of other regions of Australia. Lastly, as the study was conducted in Australia and New Zealand, the findings may not be relevant to other countries. Conclusions: In conclusion, this survey suggests that Australian and New Zealand vascular and orthopaedic surgeons have relatively similar management approaches for DFI. A statistically significant difference in the preferred wound sampling method was noted. Few of the responding surgeons used best-practice guidelines to guide management of DFI. There was a perceived moderate variation in clinical management and moderate need for clinical trials investigating key aspects of DFI management. Our findings highlights that the available evidence supporting different treatments and the related guidelines for the surgical managing of DFI need to be advanced. Supplementary information: Additional file 1.Containing the survey questions.Additional file 2.Containing tables comparing private and public setting differences are provided. Containing the survey questions. Containing tables comparing private and public setting differences are provided. Additional file 1.Containing the survey questions.Additional file 2.Containing tables comparing private and public setting differences are provided. Containing the survey questions. Containing tables comparing private and public setting differences are provided. : Additional file 1.Containing the survey questions.Additional file 2.Containing tables comparing private and public setting differences are provided. Containing the survey questions. Containing tables comparing private and public setting differences are provided.
Background: There is a lack of high quality evidence to guide the optimal management of diabetes-related foot infection, particularly in cases of severe diabetes-related foot infection and diabetes-related foot osteomyelitis. This study examined the opinions of surgeons about the preferred management of severe diabetes-related foot infection. Methods: Vascular and orthopaedic surgeons in Australia and New Zealand were invited to complete an online survey via email. The survey included multi-choice and open-ended questions on clinical management of diabetes-related foot infection. Responses of vascular surgeons and orthopaedic surgeons were compared using non-parametric statistical tests. Open-text responses were examined using inductive content analysis. Results: 29 vascular and 20 orthopaedic surgeons completed the survey. One-third (28.6%) used best-practice guidelines to assist in decisions about foot infection management. Areas for guideline improvement identified included more specific advice regarding the indications for available treatments, more recommendations about non-surgical patient management and advice on how management can be varied in regions with limited health service resource. The probe-to-bone test and magnetic resonance imaging were the preferred methods of diagnosing osteomyelitis. Approximately half (51.2%) of respondents indicated piperacillin combined with tazobactam as the preferred antibiotic choice for empirical treatment of severe diabetes-related foot infection. Negative pressure wound therapy was the most common way of managing a wound following debridement. All vascular surgeons (100%) made revascularisation decisions based on the severity of ischemia while most orthopaedic surgeons (66.7%) were likely to refer to vascular surgeons to make revascularisation decisions. Vascular surgeons preferred using wound swabs while orthopaedic surgeons favoured tissue or bone biopsies to determine the choice of antibiotic. Respondents perceived a moderate variation in management decisions between specialists and supported the need for randomised controlled trials to test different management pathways. Conclusions: Most vascular and orthopaedic surgeons do not use best-practice guidelines to assist in decisions about management of diabetes-related foot infection. Vascular and orthopaedic surgeons appear to have different preferences for wound sampling to determine choice of antibiotic. There is a need for higher quality evidence to clarify best practice for managing diabetes-related foot infection.
Background: Foot infection is a common complication of diabetes and varies in severity [1, 2]. Severe diabetes-related foot infection (DFI) often precipitates hospital admission and requirement for lower extremity amputation [3]. Management of DFI is challenging due to difficulties with diagnosis, limited evidence from high quality clinical trials and heterogeneity in clinical presentation [3]. Bone biopsy, for example, is the gold-standard method to diagnose diabetes-related foot osteomyelitis and to determine choice of antibiotic but is highly invasive and not always appropriate to use [3, 4]. International best-practice guidelines for management of DFI recognise that the evidence to support recommendation is limited due to the lack of high-quality clinical trials [3]. Only one reported randomised clinical trial has tested whether surgical or medical treatment is superior for treating diabetes-related foot osteomyelitis [5]. This trial was too small with too short follow-up to clarify the most appropriate management [5]. The lack of high quality evidence means that there is limited consensus to guide optimal management of DFI, particularly in cases of severe DFI and diabetes-related foot osteomyelitis [6–8]. This is echoed in a recent survey of Australian and New Zealand infectious diseases clinicians which reported limited consensus on how DFI was treated amongst this group of clinicians [9]. In Australia and New Zealand, surgical management of DFI is mainly performed by vascular and orthopaedic surgeons, but these specialties were not included in the previous survey on this topic [10, 11]. The aim of this study was to discover vascular and orthopaedic surgeons’ opinions about the management of DFI. Due to the prior evidence of variation in practice in Australia and New Zealand, the survey was focused on vascular and orthopaedic surgeons practicing in this region. Conclusions: In conclusion, this survey suggests that Australian and New Zealand vascular and orthopaedic surgeons have relatively similar management approaches for DFI. A statistically significant difference in the preferred wound sampling method was noted. Few of the responding surgeons used best-practice guidelines to guide management of DFI. There was a perceived moderate variation in clinical management and moderate need for clinical trials investigating key aspects of DFI management. Our findings highlights that the available evidence supporting different treatments and the related guidelines for the surgical managing of DFI need to be advanced.
Background: There is a lack of high quality evidence to guide the optimal management of diabetes-related foot infection, particularly in cases of severe diabetes-related foot infection and diabetes-related foot osteomyelitis. This study examined the opinions of surgeons about the preferred management of severe diabetes-related foot infection. Methods: Vascular and orthopaedic surgeons in Australia and New Zealand were invited to complete an online survey via email. The survey included multi-choice and open-ended questions on clinical management of diabetes-related foot infection. Responses of vascular surgeons and orthopaedic surgeons were compared using non-parametric statistical tests. Open-text responses were examined using inductive content analysis. Results: 29 vascular and 20 orthopaedic surgeons completed the survey. One-third (28.6%) used best-practice guidelines to assist in decisions about foot infection management. Areas for guideline improvement identified included more specific advice regarding the indications for available treatments, more recommendations about non-surgical patient management and advice on how management can be varied in regions with limited health service resource. The probe-to-bone test and magnetic resonance imaging were the preferred methods of diagnosing osteomyelitis. Approximately half (51.2%) of respondents indicated piperacillin combined with tazobactam as the preferred antibiotic choice for empirical treatment of severe diabetes-related foot infection. Negative pressure wound therapy was the most common way of managing a wound following debridement. All vascular surgeons (100%) made revascularisation decisions based on the severity of ischemia while most orthopaedic surgeons (66.7%) were likely to refer to vascular surgeons to make revascularisation decisions. Vascular surgeons preferred using wound swabs while orthopaedic surgeons favoured tissue or bone biopsies to determine the choice of antibiotic. Respondents perceived a moderate variation in management decisions between specialists and supported the need for randomised controlled trials to test different management pathways. Conclusions: Most vascular and orthopaedic surgeons do not use best-practice guidelines to assist in decisions about management of diabetes-related foot infection. Vascular and orthopaedic surgeons appear to have different preferences for wound sampling to determine choice of antibiotic. There is a need for higher quality evidence to clarify best practice for managing diabetes-related foot infection.
13,080
418
[ 346, 1029, 151, 131, 225, 299, 1290, 1560, 77, 39 ]
14
[ "20", "49", "29", "22", "vascular", "19", "18", "management", "21", "surgeons" ]
[ "foot infection osteomyelitistotalvascular", "foot infection dfi", "foot osteomyelitis trial", "diagnosing diabetic foot", "diabetic foot osteomyelitis1probe" ]
null
[CONTENT] Clinical practice | Diabetic foot disease | Orthopaedic surgery | Survey | Vascular surgery [SUMMARY]
null
[CONTENT] Clinical practice | Diabetic foot disease | Orthopaedic surgery | Survey | Vascular surgery [SUMMARY]
[CONTENT] Clinical practice | Diabetic foot disease | Orthopaedic surgery | Survey | Vascular surgery [SUMMARY]
[CONTENT] Clinical practice | Diabetic foot disease | Orthopaedic surgery | Survey | Vascular surgery [SUMMARY]
[CONTENT] Clinical practice | Diabetic foot disease | Orthopaedic surgery | Survey | Vascular surgery [SUMMARY]
[CONTENT] Australia | Cross-Sectional Studies | Diabetes Mellitus | Diabetic Foot | Humans | New Zealand | Surveys and Questionnaires | Vascular Surgical Procedures [SUMMARY]
null
[CONTENT] Australia | Cross-Sectional Studies | Diabetes Mellitus | Diabetic Foot | Humans | New Zealand | Surveys and Questionnaires | Vascular Surgical Procedures [SUMMARY]
[CONTENT] Australia | Cross-Sectional Studies | Diabetes Mellitus | Diabetic Foot | Humans | New Zealand | Surveys and Questionnaires | Vascular Surgical Procedures [SUMMARY]
[CONTENT] Australia | Cross-Sectional Studies | Diabetes Mellitus | Diabetic Foot | Humans | New Zealand | Surveys and Questionnaires | Vascular Surgical Procedures [SUMMARY]
[CONTENT] Australia | Cross-Sectional Studies | Diabetes Mellitus | Diabetic Foot | Humans | New Zealand | Surveys and Questionnaires | Vascular Surgical Procedures [SUMMARY]
[CONTENT] foot infection osteomyelitistotalvascular | foot infection dfi | foot osteomyelitis trial | diagnosing diabetic foot | diabetic foot osteomyelitis1probe [SUMMARY]
null
[CONTENT] foot infection osteomyelitistotalvascular | foot infection dfi | foot osteomyelitis trial | diagnosing diabetic foot | diabetic foot osteomyelitis1probe [SUMMARY]
[CONTENT] foot infection osteomyelitistotalvascular | foot infection dfi | foot osteomyelitis trial | diagnosing diabetic foot | diabetic foot osteomyelitis1probe [SUMMARY]
[CONTENT] foot infection osteomyelitistotalvascular | foot infection dfi | foot osteomyelitis trial | diagnosing diabetic foot | diabetic foot osteomyelitis1probe [SUMMARY]
[CONTENT] foot infection osteomyelitistotalvascular | foot infection dfi | foot osteomyelitis trial | diagnosing diabetic foot | diabetic foot osteomyelitis1probe [SUMMARY]
[CONTENT] 20 | 49 | 29 | 22 | vascular | 19 | 18 | management | 21 | surgeons [SUMMARY]
null
[CONTENT] 20 | 49 | 29 | 22 | vascular | 19 | 18 | management | 21 | surgeons [SUMMARY]
[CONTENT] 20 | 49 | 29 | 22 | vascular | 19 | 18 | management | 21 | surgeons [SUMMARY]
[CONTENT] 20 | 49 | 29 | 22 | vascular | 19 | 18 | management | 21 | surgeons [SUMMARY]
[CONTENT] 20 | 49 | 29 | 22 | vascular | 19 | 18 | management | 21 | surgeons [SUMMARY]
[CONTENT] dfi | foot | limited | evidence | foot osteomyelitis | diabetes related foot osteomyelitis | related foot osteomyelitis | management | diabetes related foot | diabetes related [SUMMARY]
null
[CONTENT] 20 | 49 | 29 | 22 | 19 | 18 | 42 | 21 | 204 | 494 [SUMMARY]
[CONTENT] dfi | management | moderate | guidelines | need | clinical | best practice guidelines guide | method noted responding | surgeons relatively | surgeons relatively similar [SUMMARY]
[CONTENT] 20 | survey | 29 | 49 | management | dfi | containing | responses | 22 | surgeons [SUMMARY]
[CONTENT] 20 | survey | 29 | 49 | management | dfi | containing | responses | 22 | surgeons [SUMMARY]
[CONTENT] ||| [SUMMARY]
null
[CONTENT] 29 | 20 ||| One-third | 28.6% ||| ||| ||| Approximately half | 51.2% ||| ||| 100% | 66.7% ||| ||| [SUMMARY]
[CONTENT] ||| ||| [SUMMARY]
[CONTENT] ||| ||| Australia | New Zealand ||| ||| ||| ||| 29 | 20 ||| One-third | 28.6% ||| ||| ||| Approximately half | 51.2% ||| ||| 100% | 66.7% ||| ||| ||| ||| ||| [SUMMARY]
[CONTENT] ||| ||| Australia | New Zealand ||| ||| ||| ||| 29 | 20 ||| One-third | 28.6% ||| ||| ||| Approximately half | 51.2% ||| ||| 100% | 66.7% ||| ||| ||| ||| ||| [SUMMARY]
Parental atopy and risk of atopic dermatitis in the first two years of life in the BASELINE birth cohort study.
35879246
Atopic dermatitis (AD) has a strong genetic basis. The objective of this study was to assess the association between parental atopy and AD development by 2 years.
BACKGROUND
A secondary data analysis of the BASELINE Birth Cohort study was performed (n = 2183). Parental atopy was self-reported at 2 months. Infants were examined for AD by trained health care professionals at 6, 12, and 24 months. Variables extracted from the database related to skin barrier function, early skincare, parental atopy, and AD. Statistical analysis adjusted for potential confounding variables.
METHODS
Complete data on AD status were available for 1505 children at 6, 12, and 24 months. Prevalence of AD was 18.6% at 6 months, 15.2% at 12 months, and 16.5% at 24 months. Adjusted odds ratios (95% CIs) following multivariable analysis were 1.57 (1.09-2.25) at 6 months and 1.66 (1.12-2.46) at 12 months for maternal AD; 1.90 (1.28-2.83) at 6 months and 1.85 (1.20-2.85) at 24 months for paternal AD; 1.76 (1.21-2.56) at 6 months and 1.75 (1.16-2.63) at 12 months for maternal asthma; and 1.70 (1.19-2.45) at 6 months, 1.86 (1.26-2.76) at 12 months, and 1.99 (1.34-2.97) at 24 months for paternal asthma. Parental rhinitis was only associated with AD with maternal rhinitis at 24 months (aOR (95% CI): 1.79 (1.15-2.80)).
RESULTS
Parental AD and asthma were associated with increased risk of objectively diagnosed AD in offspring in this contemporary cohort.
CONCLUSION
[ "Infant", "Child", "Male", "Humans", "Dermatitis, Atopic", "Cohort Studies", "Rhinitis", "Birth Cohort", "Asthma", "Fathers", "Risk Factors" ]
10087322
INTRODUCTION
Atopic dermatitis (AD) affects one in five children, 1 usually starts in the first year of life, and commonly persists into adulthood. 2 The pathophysiology of AD is complex, involving skin barrier dysfunction, 3 aberrant immune responses, 4 and environmental factors such as microbial exposure. 5 Loss of function mutations in FLG, the gene encoding filaggrin, represent the greatest genetic risk factor for development of AD. 6 Previous studies have shown differing odds ratios for AD in offspring of parents with atopic disease, although parental AD has been consistently associated with increased risk. 7 , 8 , 9 , 10 The Avon longitudinal study of parents and children (ALSPC) showed a strong association between parental AD and childhood AD, with an odds ratio of 1.69 (95% confidence interval 1.47–1.95) for maternal AD, 1.74 (1.44–2.09) for paternal AD, and 2.72 (2.09–3.53) for biparental AD. 7 The PARIS prospective birth cohort study showed that parental atopy (AD and/or asthma and/or rhinitis) was associated with an odds ratio of 2.31 (1.28–4.16) for severe AD. 11 The Protection Against Allergy Study in Rural Environments (PASTURE) birth cohort study showed that having one parent with atopy (AD and/or asthma and/or rhinitis) was associated with an odds ratio of 1.36 (0.84–2.20) for early transient AD, 2.15 (1.15–4.03) for early persistent AD, and 1.58 (0.83–3.03) for late AD; while having two parents with atopy was associated with an odds ratio of 2.46 (1.27–4.76) for early transient AD, 5.35 (2.52–11.36) for early persistent AD, and 2.41 (0.95–6.09) for late AD. 12 Some studies have suggested that maternal atopy is more strongly associated with AD, 10 , 13 while others have not identified a difference in risk between maternal or paternal atopy. 7 , 8 We aimed to assess the impact of maternal and paternal atopic disease on AD outcomes in offspring in early life in a large observational birth cohort study.
METHODS
Study subjects This study was a secondary analysis of the Cork Babies After Scope: Evaluating the Longitudinal Impact Using Neurological and Nutritional Endpoints (BASELINE) Birth Cohort study. 14 The purpose of the BASELINE study was to examine the effects of environmental factors during pregnancy and infancy on childhood health and development. The BASELINE study recruited healthy first‐born term babies in Cork, Ireland, from August 2009 through to October 2011. Ethical approval was granted by the Clinical Research and Ethics Committee of the Cork Teaching Hospitals [ref ECM5(9) 01/07/2008]. Skin barrier assessment was performed on 2183 infants at birth and throughout early life by measuring transepidermal water loss (TEWL) using a validated open chamber system (Tewameter TM 300; Courage + Khazaka Electronic, Cologne, Germany). This study was a secondary analysis of the Cork Babies After Scope: Evaluating the Longitudinal Impact Using Neurological and Nutritional Endpoints (BASELINE) Birth Cohort study. 14 The purpose of the BASELINE study was to examine the effects of environmental factors during pregnancy and infancy on childhood health and development. The BASELINE study recruited healthy first‐born term babies in Cork, Ireland, from August 2009 through to October 2011. Ethical approval was granted by the Clinical Research and Ethics Committee of the Cork Teaching Hospitals [ref ECM5(9) 01/07/2008]. Skin barrier assessment was performed on 2183 infants at birth and throughout early life by measuring transepidermal water loss (TEWL) using a validated open chamber system (Tewameter TM 300; Courage + Khazaka Electronic, Cologne, Germany). Atopy and atopic dermatitis assessments All infants had assessments at birth, 2 months, 6 months, 12 months, and 24 months involving parental questionnaires and physical assessment. Self‐reported parental atopy (AD, asthma, or allergic rhinitis) was investigated by the questionsDO or DID you ever suffer from eczema (atopic dermatitis)?DO or DID you ever suffer from asthma?DO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)? DO or DID you ever suffer from eczema (atopic dermatitis)? DO or DID you ever suffer from asthma? DO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)? Parental atopy was self‐reported at 2 months. Parents were asked at 2 months if the infant had an “itchy rash on the face or in the folds of the arms or legs,” as a screening question for AD. Experienced health care personnel diagnosed AD at 6, 12, and 24 months according to the UK Working Party diagnostic criteria. 15 All infants had assessments at birth, 2 months, 6 months, 12 months, and 24 months involving parental questionnaires and physical assessment. Self‐reported parental atopy (AD, asthma, or allergic rhinitis) was investigated by the questionsDO or DID you ever suffer from eczema (atopic dermatitis)?DO or DID you ever suffer from asthma?DO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)? DO or DID you ever suffer from eczema (atopic dermatitis)? DO or DID you ever suffer from asthma? DO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)? Parental atopy was self‐reported at 2 months. Parents were asked at 2 months if the infant had an “itchy rash on the face or in the folds of the arms or legs,” as a screening question for AD. Experienced health care personnel diagnosed AD at 6, 12, and 24 months according to the UK Working Party diagnostic criteria. 15 Statistical analysis Categorical variables were described using frequency (percentage). Univariable and multivariable logistic regression models were used to investigate relationships between maternal and paternal atopic conditions, potential confounding variables and the presence of AD at 6 months, 12 months, and 24 months of age separately, and at all‐time points. The potential confounders included were sex, birth weight, transepidermal water loss (TEWL) at 2 months, parent‐reported “itchy rash” at 2 months, emollient bathing at 2 months, frequency of bathing at 2 months, and frequency of emollient application at 2 months. For all independent variables, the unadjusted and adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) are presented. Prior to performing the multivariable logistic regression analyses, multicollinearity among the independent variables was tested using the variance inflation factor (VIF). All tests were two‐sided and a p‐value <.05 was considered statistically significant. Statistical analysis was performed using Stata (version 15.1, StataCorp LP, College Station, TX). Categorical variables were described using frequency (percentage). Univariable and multivariable logistic regression models were used to investigate relationships between maternal and paternal atopic conditions, potential confounding variables and the presence of AD at 6 months, 12 months, and 24 months of age separately, and at all‐time points. The potential confounders included were sex, birth weight, transepidermal water loss (TEWL) at 2 months, parent‐reported “itchy rash” at 2 months, emollient bathing at 2 months, frequency of bathing at 2 months, and frequency of emollient application at 2 months. For all independent variables, the unadjusted and adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) are presented. Prior to performing the multivariable logistic regression analyses, multicollinearity among the independent variables was tested using the variance inflation factor (VIF). All tests were two‐sided and a p‐value <.05 was considered statistically significant. Statistical analysis was performed using Stata (version 15.1, StataCorp LP, College Station, TX).
RESULTS
A flow diagram outlining study recruitment is shown in Figure 1. Complete data on AD status were available for 1505 children at 6, 12, and 24 months. Prevalence of AD was highest at 6 months (18.6%), decreasing to 15.2% at 12 months, and increasing to 16.5% at 24 months. Flow diagram showing each stage of the BASELINE study. n, number of infants; LFU, lost to follow up; CW, consent withdrawn Relationship between parental atopy and AD in first 2 years of life Parental atopic disease (either maternal or paternal or biparental history of AD and/or asthma and/or rhinitis) was associated with AD in both univariable and multivariable analysis (n = 1296). Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mother or father or both parents had a history of atopy {adjusted OR (95% CI): 2.26 (1.75–2.91), p < .001}. Maternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mothers had a history of atopy {adjusted OR (95% CI): 1.70 (1.31–2.22), p < .001}. Paternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose fathers had a history of atopy {adjusted OR (95% CI): 1.99 (1.51–2.61), p < .001}. Parental atopic disease (either maternal or paternal or biparental history of AD and/or asthma and/or rhinitis) was associated with AD in both univariable and multivariable analysis (n = 1296). Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mother or father or both parents had a history of atopy {adjusted OR (95% CI): 2.26 (1.75–2.91), p < .001}. Maternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mothers had a history of atopy {adjusted OR (95% CI): 1.70 (1.31–2.22), p < .001}. Paternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose fathers had a history of atopy {adjusted OR (95% CI): 1.99 (1.51–2.61), p < .001}. Relationship between specific parental atopic disease and AD at 6 months At 6 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in both univariable and multivariable analysis (Table 1). Based on the multivariable analysis, the odds of AD at 6 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.57 (1.09–2.25)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.76 (1.21–2.56)}. The odds of AD at 6 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.90 (1.28–2.83)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.70 (1.19–2.45)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 6 months. Results of the univariable and multivariable logistic regression analyses of family history with AD at 6 months as the dependent variable, n = 1538 Note: Bold values are those which were statistically significant (p value < 0.05). Includes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months. At 6 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in both univariable and multivariable analysis (Table 1). Based on the multivariable analysis, the odds of AD at 6 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.57 (1.09–2.25)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.76 (1.21–2.56)}. The odds of AD at 6 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.90 (1.28–2.83)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.70 (1.19–2.45)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 6 months. Results of the univariable and multivariable logistic regression analyses of family history with AD at 6 months as the dependent variable, n = 1538 Note: Bold values are those which were statistically significant (p value < 0.05). Includes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months. Relationship between specific parental atopic disease and AD at 12 months At 12 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 2). Paternal AD was no longer significantly associated with AD following multivariable analysis (p = .060). Based on the multivariable analysis, the odds of AD at 12 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.66 (1.12–2.46)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.75 (1.16–2.63)}. The odds of AD at 12 months were also higher among infants whose fathers had asthma {adjusted OR (95% CI): 1.86 (1.26–2.76)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 12 months. Results of logistic regression analyses of family history with AD at 12 months as the dependent variable, n = 1452 Note: Bold values are those which were statistically significant (p value < 0.05). Includes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months. At 12 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 2). Paternal AD was no longer significantly associated with AD following multivariable analysis (p = .060). Based on the multivariable analysis, the odds of AD at 12 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.66 (1.12–2.46)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.75 (1.16–2.63)}. The odds of AD at 12 months were also higher among infants whose fathers had asthma {adjusted OR (95% CI): 1.86 (1.26–2.76)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 12 months. Results of logistic regression analyses of family history with AD at 12 months as the dependent variable, n = 1452 Note: Bold values are those which were statistically significant (p value < 0.05). Includes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months. Relationship between specific parental atopic disease and AD at 24 months At 24 months, maternal AD, asthma and rhinitis and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 3). Maternal AD (p = .359) and asthma (p = .216) were no longer significantly associated with AD following multivariable analysis. Based on the multivariable analysis, the odds of AD at 24 months were higher among infants whose mothers had rhinitis {adjusted OR (95% CI): 1.79 (1.15–2.80)}. The odds of AD at 24 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.85 (1.20–2.85)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.99 (1.34–2.97)}. Paternal rhinitis was not associated with risk of AD at 24 months. Results of the univariable and multivariable logistic regression analyses of family history with AD at 24 months as the dependent variable, n = 1332 Note: Bold values are those which were statistically significant (p value < 0.05). Includes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months. The odds ratios and confidence intervals for development of AD in offspring at all‐time points with maternal and paternal AD and asthma are shown in Figures 2 and 3. Plot showing odd ratios for development of atopic dermatitis in offspring in the first 2 years of life, according to maternal, paternal or biparental atopy (atopic dermatitis and/or asthma and/or rhinitis) Plot showing odd ratios for development of atopic dermatitis in offspring at 6, 12, and 24 months, according to parental atopic dermatitis or asthma. *not statistically significant At 24 months, maternal AD, asthma and rhinitis and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 3). Maternal AD (p = .359) and asthma (p = .216) were no longer significantly associated with AD following multivariable analysis. Based on the multivariable analysis, the odds of AD at 24 months were higher among infants whose mothers had rhinitis {adjusted OR (95% CI): 1.79 (1.15–2.80)}. The odds of AD at 24 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.85 (1.20–2.85)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.99 (1.34–2.97)}. Paternal rhinitis was not associated with risk of AD at 24 months. Results of the univariable and multivariable logistic regression analyses of family history with AD at 24 months as the dependent variable, n = 1332 Note: Bold values are those which were statistically significant (p value < 0.05). Includes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months. The odds ratios and confidence intervals for development of AD in offspring at all‐time points with maternal and paternal AD and asthma are shown in Figures 2 and 3. Plot showing odd ratios for development of atopic dermatitis in offspring in the first 2 years of life, according to maternal, paternal or biparental atopy (atopic dermatitis and/or asthma and/or rhinitis) Plot showing odd ratios for development of atopic dermatitis in offspring at 6, 12, and 24 months, according to parental atopic dermatitis or asthma. *not statistically significant
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null
[ "INTRODUCTION", "Study subjects", "Atopy and atopic dermatitis assessments", "Statistical analysis", "Relationship between parental atopy and AD in first 2 years of life", "Relationship between specific parental atopic disease and AD at 6 months", "Relationship between specific parental atopic disease and AD at 12 months", "Relationship between specific parental atopic disease and AD at 24 months", "AUTHOR CONTRIBUTIONS", "FUNDING INFORMATION" ]
[ "Atopic dermatitis (AD) affects one in five children,\n1\n usually starts in the first year of life, and commonly persists into adulthood.\n2\n The pathophysiology of AD is complex, involving skin barrier dysfunction,\n3\n aberrant immune responses,\n4\n and environmental factors such as microbial exposure.\n5\n Loss of function mutations in FLG, the gene encoding filaggrin, represent the greatest genetic risk factor for development of AD.\n6\n\n\nPrevious studies have shown differing odds ratios for AD in offspring of parents with atopic disease, although parental AD has been consistently associated with increased risk.\n7\n, \n8\n, \n9\n, \n10\n The Avon longitudinal study of parents and children (ALSPC) showed a strong association between parental AD and childhood AD, with an odds ratio of 1.69 (95% confidence interval 1.47–1.95) for maternal AD, 1.74 (1.44–2.09) for paternal AD, and 2.72 (2.09–3.53) for biparental AD.\n7\n The PARIS prospective birth cohort study showed that parental atopy (AD and/or asthma and/or rhinitis) was associated with an odds ratio of 2.31 (1.28–4.16) for severe AD.\n11\n The Protection Against Allergy Study in Rural Environments (PASTURE) birth cohort study showed that having one parent with atopy (AD and/or asthma and/or rhinitis) was associated with an odds ratio of 1.36 (0.84–2.20) for early transient AD, 2.15 (1.15–4.03) for early persistent AD, and 1.58 (0.83–3.03) for late AD; while having two parents with atopy was associated with an odds ratio of 2.46 (1.27–4.76) for early transient AD, 5.35 (2.52–11.36) for early persistent AD, and 2.41 (0.95–6.09) for late AD.\n12\n Some studies have suggested that maternal atopy is more strongly associated with AD,\n10\n, \n13\n while others have not identified a difference in risk between maternal or paternal atopy.\n7\n, \n8\n\n\nWe aimed to assess the impact of maternal and paternal atopic disease on AD outcomes in offspring in early life in a large observational birth cohort study.", "This study was a secondary analysis of the Cork Babies After Scope: Evaluating the Longitudinal Impact Using Neurological and Nutritional Endpoints (BASELINE) Birth Cohort study.\n14\n The purpose of the BASELINE study was to examine the effects of environmental factors during pregnancy and infancy on childhood health and development. The BASELINE study recruited healthy first‐born term babies in Cork, Ireland, from August 2009 through to October 2011. Ethical approval was granted by the Clinical Research and Ethics Committee of the Cork Teaching Hospitals [ref ECM5(9) 01/07/2008]. Skin barrier assessment was performed on 2183 infants at birth and throughout early life by measuring transepidermal water loss (TEWL) using a validated open chamber system (Tewameter TM 300; Courage + Khazaka Electronic, Cologne, Germany).", "All infants had assessments at birth, 2 months, 6 months, 12 months, and 24 months involving parental questionnaires and physical assessment. Self‐reported parental atopy (AD, asthma, or allergic rhinitis) was investigated by the questionsDO or DID you ever suffer from eczema (atopic dermatitis)?DO or DID you ever suffer from asthma?DO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)?\n\nDO or DID you ever suffer from eczema (atopic dermatitis)?\nDO or DID you ever suffer from asthma?\nDO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)?\nParental atopy was self‐reported at 2 months. Parents were asked at 2 months if the infant had an “itchy rash on the face or in the folds of the arms or legs,” as a screening question for AD. Experienced health care personnel diagnosed AD at 6, 12, and 24 months according to the UK Working Party diagnostic criteria.\n15\n\n", "Categorical variables were described using frequency (percentage). Univariable and multivariable logistic regression models were used to investigate relationships between maternal and paternal atopic conditions, potential confounding variables and the presence of AD at 6 months, 12 months, and 24 months of age separately, and at all‐time points. The potential confounders included were sex, birth weight, transepidermal water loss (TEWL) at 2 months, parent‐reported “itchy rash” at 2 months, emollient bathing at 2 months, frequency of bathing at 2 months, and frequency of emollient application at 2 months. For all independent variables, the unadjusted and adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) are presented.\nPrior to performing the multivariable logistic regression analyses, multicollinearity among the independent variables was tested using the variance inflation factor (VIF). All tests were two‐sided and a p‐value <.05 was considered statistically significant. Statistical analysis was performed using Stata (version 15.1, StataCorp LP, College Station, TX).", "Parental atopic disease (either maternal or paternal or biparental history of AD and/or asthma and/or rhinitis) was associated with AD in both univariable and multivariable analysis (n = 1296). Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mother or father or both parents had a history of atopy {adjusted OR (95% CI): 2.26 (1.75–2.91), p < .001}. Maternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mothers had a history of atopy {adjusted OR (95% CI): 1.70 (1.31–2.22), p < .001}. Paternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose fathers had a history of atopy {adjusted OR (95% CI): 1.99 (1.51–2.61), p < .001}.", "At 6 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in both univariable and multivariable analysis (Table 1). Based on the multivariable analysis, the odds of AD at 6 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.57 (1.09–2.25)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.76 (1.21–2.56)}. The odds of AD at 6 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.90 (1.28–2.83)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.70 (1.19–2.45)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 6 months.\nResults of the univariable and multivariable logistic regression analyses of family history with AD at 6 months as the dependent variable, n = 1538\n\nNote: Bold values are those which were statistically significant (p value < 0.05).\nIncludes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months.", "At 12 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 2). Paternal AD was no longer significantly associated with AD following multivariable analysis (p = .060). Based on the multivariable analysis, the odds of AD at 12 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.66 (1.12–2.46)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.75 (1.16–2.63)}. The odds of AD at 12 months were also higher among infants whose fathers had asthma {adjusted OR (95% CI): 1.86 (1.26–2.76)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 12 months.\nResults of logistic regression analyses of family history with AD at 12 months as the dependent variable, n = 1452\n\nNote: Bold values are those which were statistically significant (p value < 0.05).\nIncludes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months.", "At 24 months, maternal AD, asthma and rhinitis and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 3). Maternal AD (p = .359) and asthma (p = .216) were no longer significantly associated with AD following multivariable analysis. Based on the multivariable analysis, the odds of AD at 24 months were higher among infants whose mothers had rhinitis {adjusted OR (95% CI): 1.79 (1.15–2.80)}. The odds of AD at 24 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.85 (1.20–2.85)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.99 (1.34–2.97)}. Paternal rhinitis was not associated with risk of AD at 24 months.\nResults of the univariable and multivariable logistic regression analyses of family history with AD at 24 months as the dependent variable, n = 1332\n\nNote: Bold values are those which were statistically significant (p value < 0.05).\nIncludes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months.\nThe odds ratios and confidence intervals for development of AD in offspring at all‐time points with maternal and paternal AD and asthma are shown in Figures 2 and 3.\nPlot showing odd ratios for development of atopic dermatitis in offspring in the first 2 years of life, according to maternal, paternal or biparental atopy (atopic dermatitis and/or asthma and/or rhinitis)\nPlot showing odd ratios for development of atopic dermatitis in offspring at 6, 12, and 24 months, according to parental atopic dermatitis or asthma. *not statistically significant", "Cathal O'Connor co‐designed the study, analyzed and interpreted the data, wrote the first draft, and reviewed the manuscript. Vicki Livingstone, Jonathan O'B. Hourihane, Alan D. Irvine, and Geraldine Boylan analyzed and interpreted the data and reviewed the manuscript. Deirdre Murray co‐designed the study, analyzed and interpreted the data, and reviewed the manuscript. All authors gave final approval of the version to be published.", "This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number 12/RC/2272 and 15/SP/3091 and Johnson & Johnson. The Cork BASELINE Birth Cohort Study (ClinicalTrials.gov NCT01498965) is supported by the National Children's Research Centre, Dublin, Ireland and by the Food Standards Agency, United Kingdom (TO7060). Cathal O'Connor is funded by the Irish Clinical Academic Training (ICAT) program, supported by the Wellcome Trust and the Health Research Board (grant number 223047/Z/21/Z); the Health Service Executive National Doctors Training and Planning; and the Health and Social Care, Research and Development Division, Northern Ireland." ]
[ null, null, null, null, null, null, null, null, null, null ]
[ "INTRODUCTION", "METHODS", "Study subjects", "Atopy and atopic dermatitis assessments", "Statistical analysis", "RESULTS", "Relationship between parental atopy and AD in first 2 years of life", "Relationship between specific parental atopic disease and AD at 6 months", "Relationship between specific parental atopic disease and AD at 12 months", "Relationship between specific parental atopic disease and AD at 24 months", "DISCUSSION", "AUTHOR CONTRIBUTIONS", "FUNDING INFORMATION", "CONFLICT OF INTEREST" ]
[ "Atopic dermatitis (AD) affects one in five children,\n1\n usually starts in the first year of life, and commonly persists into adulthood.\n2\n The pathophysiology of AD is complex, involving skin barrier dysfunction,\n3\n aberrant immune responses,\n4\n and environmental factors such as microbial exposure.\n5\n Loss of function mutations in FLG, the gene encoding filaggrin, represent the greatest genetic risk factor for development of AD.\n6\n\n\nPrevious studies have shown differing odds ratios for AD in offspring of parents with atopic disease, although parental AD has been consistently associated with increased risk.\n7\n, \n8\n, \n9\n, \n10\n The Avon longitudinal study of parents and children (ALSPC) showed a strong association between parental AD and childhood AD, with an odds ratio of 1.69 (95% confidence interval 1.47–1.95) for maternal AD, 1.74 (1.44–2.09) for paternal AD, and 2.72 (2.09–3.53) for biparental AD.\n7\n The PARIS prospective birth cohort study showed that parental atopy (AD and/or asthma and/or rhinitis) was associated with an odds ratio of 2.31 (1.28–4.16) for severe AD.\n11\n The Protection Against Allergy Study in Rural Environments (PASTURE) birth cohort study showed that having one parent with atopy (AD and/or asthma and/or rhinitis) was associated with an odds ratio of 1.36 (0.84–2.20) for early transient AD, 2.15 (1.15–4.03) for early persistent AD, and 1.58 (0.83–3.03) for late AD; while having two parents with atopy was associated with an odds ratio of 2.46 (1.27–4.76) for early transient AD, 5.35 (2.52–11.36) for early persistent AD, and 2.41 (0.95–6.09) for late AD.\n12\n Some studies have suggested that maternal atopy is more strongly associated with AD,\n10\n, \n13\n while others have not identified a difference in risk between maternal or paternal atopy.\n7\n, \n8\n\n\nWe aimed to assess the impact of maternal and paternal atopic disease on AD outcomes in offspring in early life in a large observational birth cohort study.", "Study subjects This study was a secondary analysis of the Cork Babies After Scope: Evaluating the Longitudinal Impact Using Neurological and Nutritional Endpoints (BASELINE) Birth Cohort study.\n14\n The purpose of the BASELINE study was to examine the effects of environmental factors during pregnancy and infancy on childhood health and development. The BASELINE study recruited healthy first‐born term babies in Cork, Ireland, from August 2009 through to October 2011. Ethical approval was granted by the Clinical Research and Ethics Committee of the Cork Teaching Hospitals [ref ECM5(9) 01/07/2008]. Skin barrier assessment was performed on 2183 infants at birth and throughout early life by measuring transepidermal water loss (TEWL) using a validated open chamber system (Tewameter TM 300; Courage + Khazaka Electronic, Cologne, Germany).\nThis study was a secondary analysis of the Cork Babies After Scope: Evaluating the Longitudinal Impact Using Neurological and Nutritional Endpoints (BASELINE) Birth Cohort study.\n14\n The purpose of the BASELINE study was to examine the effects of environmental factors during pregnancy and infancy on childhood health and development. The BASELINE study recruited healthy first‐born term babies in Cork, Ireland, from August 2009 through to October 2011. Ethical approval was granted by the Clinical Research and Ethics Committee of the Cork Teaching Hospitals [ref ECM5(9) 01/07/2008]. Skin barrier assessment was performed on 2183 infants at birth and throughout early life by measuring transepidermal water loss (TEWL) using a validated open chamber system (Tewameter TM 300; Courage + Khazaka Electronic, Cologne, Germany).\nAtopy and atopic dermatitis assessments All infants had assessments at birth, 2 months, 6 months, 12 months, and 24 months involving parental questionnaires and physical assessment. Self‐reported parental atopy (AD, asthma, or allergic rhinitis) was investigated by the questionsDO or DID you ever suffer from eczema (atopic dermatitis)?DO or DID you ever suffer from asthma?DO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)?\n\nDO or DID you ever suffer from eczema (atopic dermatitis)?\nDO or DID you ever suffer from asthma?\nDO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)?\nParental atopy was self‐reported at 2 months. Parents were asked at 2 months if the infant had an “itchy rash on the face or in the folds of the arms or legs,” as a screening question for AD. Experienced health care personnel diagnosed AD at 6, 12, and 24 months according to the UK Working Party diagnostic criteria.\n15\n\n\nAll infants had assessments at birth, 2 months, 6 months, 12 months, and 24 months involving parental questionnaires and physical assessment. Self‐reported parental atopy (AD, asthma, or allergic rhinitis) was investigated by the questionsDO or DID you ever suffer from eczema (atopic dermatitis)?DO or DID you ever suffer from asthma?DO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)?\n\nDO or DID you ever suffer from eczema (atopic dermatitis)?\nDO or DID you ever suffer from asthma?\nDO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)?\nParental atopy was self‐reported at 2 months. Parents were asked at 2 months if the infant had an “itchy rash on the face or in the folds of the arms or legs,” as a screening question for AD. Experienced health care personnel diagnosed AD at 6, 12, and 24 months according to the UK Working Party diagnostic criteria.\n15\n\n\nStatistical analysis Categorical variables were described using frequency (percentage). Univariable and multivariable logistic regression models were used to investigate relationships between maternal and paternal atopic conditions, potential confounding variables and the presence of AD at 6 months, 12 months, and 24 months of age separately, and at all‐time points. The potential confounders included were sex, birth weight, transepidermal water loss (TEWL) at 2 months, parent‐reported “itchy rash” at 2 months, emollient bathing at 2 months, frequency of bathing at 2 months, and frequency of emollient application at 2 months. For all independent variables, the unadjusted and adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) are presented.\nPrior to performing the multivariable logistic regression analyses, multicollinearity among the independent variables was tested using the variance inflation factor (VIF). All tests were two‐sided and a p‐value <.05 was considered statistically significant. Statistical analysis was performed using Stata (version 15.1, StataCorp LP, College Station, TX).\nCategorical variables were described using frequency (percentage). Univariable and multivariable logistic regression models were used to investigate relationships between maternal and paternal atopic conditions, potential confounding variables and the presence of AD at 6 months, 12 months, and 24 months of age separately, and at all‐time points. The potential confounders included were sex, birth weight, transepidermal water loss (TEWL) at 2 months, parent‐reported “itchy rash” at 2 months, emollient bathing at 2 months, frequency of bathing at 2 months, and frequency of emollient application at 2 months. For all independent variables, the unadjusted and adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) are presented.\nPrior to performing the multivariable logistic regression analyses, multicollinearity among the independent variables was tested using the variance inflation factor (VIF). All tests were two‐sided and a p‐value <.05 was considered statistically significant. Statistical analysis was performed using Stata (version 15.1, StataCorp LP, College Station, TX).", "This study was a secondary analysis of the Cork Babies After Scope: Evaluating the Longitudinal Impact Using Neurological and Nutritional Endpoints (BASELINE) Birth Cohort study.\n14\n The purpose of the BASELINE study was to examine the effects of environmental factors during pregnancy and infancy on childhood health and development. The BASELINE study recruited healthy first‐born term babies in Cork, Ireland, from August 2009 through to October 2011. Ethical approval was granted by the Clinical Research and Ethics Committee of the Cork Teaching Hospitals [ref ECM5(9) 01/07/2008]. Skin barrier assessment was performed on 2183 infants at birth and throughout early life by measuring transepidermal water loss (TEWL) using a validated open chamber system (Tewameter TM 300; Courage + Khazaka Electronic, Cologne, Germany).", "All infants had assessments at birth, 2 months, 6 months, 12 months, and 24 months involving parental questionnaires and physical assessment. Self‐reported parental atopy (AD, asthma, or allergic rhinitis) was investigated by the questionsDO or DID you ever suffer from eczema (atopic dermatitis)?DO or DID you ever suffer from asthma?DO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)?\n\nDO or DID you ever suffer from eczema (atopic dermatitis)?\nDO or DID you ever suffer from asthma?\nDO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)?\nParental atopy was self‐reported at 2 months. Parents were asked at 2 months if the infant had an “itchy rash on the face or in the folds of the arms or legs,” as a screening question for AD. Experienced health care personnel diagnosed AD at 6, 12, and 24 months according to the UK Working Party diagnostic criteria.\n15\n\n", "Categorical variables were described using frequency (percentage). Univariable and multivariable logistic regression models were used to investigate relationships between maternal and paternal atopic conditions, potential confounding variables and the presence of AD at 6 months, 12 months, and 24 months of age separately, and at all‐time points. The potential confounders included were sex, birth weight, transepidermal water loss (TEWL) at 2 months, parent‐reported “itchy rash” at 2 months, emollient bathing at 2 months, frequency of bathing at 2 months, and frequency of emollient application at 2 months. For all independent variables, the unadjusted and adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) are presented.\nPrior to performing the multivariable logistic regression analyses, multicollinearity among the independent variables was tested using the variance inflation factor (VIF). All tests were two‐sided and a p‐value <.05 was considered statistically significant. Statistical analysis was performed using Stata (version 15.1, StataCorp LP, College Station, TX).", "A flow diagram outlining study recruitment is shown in Figure 1. Complete data on AD status were available for 1505 children at 6, 12, and 24 months. Prevalence of AD was highest at 6 months (18.6%), decreasing to 15.2% at 12 months, and increasing to 16.5% at 24 months.\nFlow diagram showing each stage of the BASELINE study. n, number of infants; LFU, lost to follow up; CW, consent withdrawn\nRelationship between parental atopy and AD in first 2 years of life Parental atopic disease (either maternal or paternal or biparental history of AD and/or asthma and/or rhinitis) was associated with AD in both univariable and multivariable analysis (n = 1296). Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mother or father or both parents had a history of atopy {adjusted OR (95% CI): 2.26 (1.75–2.91), p < .001}. Maternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mothers had a history of atopy {adjusted OR (95% CI): 1.70 (1.31–2.22), p < .001}. Paternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose fathers had a history of atopy {adjusted OR (95% CI): 1.99 (1.51–2.61), p < .001}.\nParental atopic disease (either maternal or paternal or biparental history of AD and/or asthma and/or rhinitis) was associated with AD in both univariable and multivariable analysis (n = 1296). Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mother or father or both parents had a history of atopy {adjusted OR (95% CI): 2.26 (1.75–2.91), p < .001}. Maternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mothers had a history of atopy {adjusted OR (95% CI): 1.70 (1.31–2.22), p < .001}. Paternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose fathers had a history of atopy {adjusted OR (95% CI): 1.99 (1.51–2.61), p < .001}.\nRelationship between specific parental atopic disease and AD at 6 months At 6 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in both univariable and multivariable analysis (Table 1). Based on the multivariable analysis, the odds of AD at 6 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.57 (1.09–2.25)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.76 (1.21–2.56)}. The odds of AD at 6 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.90 (1.28–2.83)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.70 (1.19–2.45)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 6 months.\nResults of the univariable and multivariable logistic regression analyses of family history with AD at 6 months as the dependent variable, n = 1538\n\nNote: Bold values are those which were statistically significant (p value < 0.05).\nIncludes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months.\nAt 6 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in both univariable and multivariable analysis (Table 1). Based on the multivariable analysis, the odds of AD at 6 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.57 (1.09–2.25)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.76 (1.21–2.56)}. The odds of AD at 6 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.90 (1.28–2.83)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.70 (1.19–2.45)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 6 months.\nResults of the univariable and multivariable logistic regression analyses of family history with AD at 6 months as the dependent variable, n = 1538\n\nNote: Bold values are those which were statistically significant (p value < 0.05).\nIncludes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months.\nRelationship between specific parental atopic disease and AD at 12 months At 12 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 2). Paternal AD was no longer significantly associated with AD following multivariable analysis (p = .060). Based on the multivariable analysis, the odds of AD at 12 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.66 (1.12–2.46)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.75 (1.16–2.63)}. The odds of AD at 12 months were also higher among infants whose fathers had asthma {adjusted OR (95% CI): 1.86 (1.26–2.76)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 12 months.\nResults of logistic regression analyses of family history with AD at 12 months as the dependent variable, n = 1452\n\nNote: Bold values are those which were statistically significant (p value < 0.05).\nIncludes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months.\nAt 12 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 2). Paternal AD was no longer significantly associated with AD following multivariable analysis (p = .060). Based on the multivariable analysis, the odds of AD at 12 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.66 (1.12–2.46)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.75 (1.16–2.63)}. The odds of AD at 12 months were also higher among infants whose fathers had asthma {adjusted OR (95% CI): 1.86 (1.26–2.76)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 12 months.\nResults of logistic regression analyses of family history with AD at 12 months as the dependent variable, n = 1452\n\nNote: Bold values are those which were statistically significant (p value < 0.05).\nIncludes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months.\nRelationship between specific parental atopic disease and AD at 24 months At 24 months, maternal AD, asthma and rhinitis and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 3). Maternal AD (p = .359) and asthma (p = .216) were no longer significantly associated with AD following multivariable analysis. Based on the multivariable analysis, the odds of AD at 24 months were higher among infants whose mothers had rhinitis {adjusted OR (95% CI): 1.79 (1.15–2.80)}. The odds of AD at 24 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.85 (1.20–2.85)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.99 (1.34–2.97)}. Paternal rhinitis was not associated with risk of AD at 24 months.\nResults of the univariable and multivariable logistic regression analyses of family history with AD at 24 months as the dependent variable, n = 1332\n\nNote: Bold values are those which were statistically significant (p value < 0.05).\nIncludes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months.\nThe odds ratios and confidence intervals for development of AD in offspring at all‐time points with maternal and paternal AD and asthma are shown in Figures 2 and 3.\nPlot showing odd ratios for development of atopic dermatitis in offspring in the first 2 years of life, according to maternal, paternal or biparental atopy (atopic dermatitis and/or asthma and/or rhinitis)\nPlot showing odd ratios for development of atopic dermatitis in offspring at 6, 12, and 24 months, according to parental atopic dermatitis or asthma. *not statistically significant\nAt 24 months, maternal AD, asthma and rhinitis and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 3). Maternal AD (p = .359) and asthma (p = .216) were no longer significantly associated with AD following multivariable analysis. Based on the multivariable analysis, the odds of AD at 24 months were higher among infants whose mothers had rhinitis {adjusted OR (95% CI): 1.79 (1.15–2.80)}. The odds of AD at 24 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.85 (1.20–2.85)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.99 (1.34–2.97)}. Paternal rhinitis was not associated with risk of AD at 24 months.\nResults of the univariable and multivariable logistic regression analyses of family history with AD at 24 months as the dependent variable, n = 1332\n\nNote: Bold values are those which were statistically significant (p value < 0.05).\nIncludes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months.\nThe odds ratios and confidence intervals for development of AD in offspring at all‐time points with maternal and paternal AD and asthma are shown in Figures 2 and 3.\nPlot showing odd ratios for development of atopic dermatitis in offspring in the first 2 years of life, according to maternal, paternal or biparental atopy (atopic dermatitis and/or asthma and/or rhinitis)\nPlot showing odd ratios for development of atopic dermatitis in offspring at 6, 12, and 24 months, according to parental atopic dermatitis or asthma. *not statistically significant", "Parental atopic disease (either maternal or paternal or biparental history of AD and/or asthma and/or rhinitis) was associated with AD in both univariable and multivariable analysis (n = 1296). Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mother or father or both parents had a history of atopy {adjusted OR (95% CI): 2.26 (1.75–2.91), p < .001}. Maternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mothers had a history of atopy {adjusted OR (95% CI): 1.70 (1.31–2.22), p < .001}. Paternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose fathers had a history of atopy {adjusted OR (95% CI): 1.99 (1.51–2.61), p < .001}.", "At 6 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in both univariable and multivariable analysis (Table 1). Based on the multivariable analysis, the odds of AD at 6 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.57 (1.09–2.25)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.76 (1.21–2.56)}. The odds of AD at 6 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.90 (1.28–2.83)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.70 (1.19–2.45)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 6 months.\nResults of the univariable and multivariable logistic regression analyses of family history with AD at 6 months as the dependent variable, n = 1538\n\nNote: Bold values are those which were statistically significant (p value < 0.05).\nIncludes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months.", "At 12 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 2). Paternal AD was no longer significantly associated with AD following multivariable analysis (p = .060). Based on the multivariable analysis, the odds of AD at 12 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.66 (1.12–2.46)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.75 (1.16–2.63)}. The odds of AD at 12 months were also higher among infants whose fathers had asthma {adjusted OR (95% CI): 1.86 (1.26–2.76)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 12 months.\nResults of logistic regression analyses of family history with AD at 12 months as the dependent variable, n = 1452\n\nNote: Bold values are those which were statistically significant (p value < 0.05).\nIncludes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months.", "At 24 months, maternal AD, asthma and rhinitis and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 3). Maternal AD (p = .359) and asthma (p = .216) were no longer significantly associated with AD following multivariable analysis. Based on the multivariable analysis, the odds of AD at 24 months were higher among infants whose mothers had rhinitis {adjusted OR (95% CI): 1.79 (1.15–2.80)}. The odds of AD at 24 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.85 (1.20–2.85)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.99 (1.34–2.97)}. Paternal rhinitis was not associated with risk of AD at 24 months.\nResults of the univariable and multivariable logistic regression analyses of family history with AD at 24 months as the dependent variable, n = 1332\n\nNote: Bold values are those which were statistically significant (p value < 0.05).\nIncludes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months.\nThe odds ratios and confidence intervals for development of AD in offspring at all‐time points with maternal and paternal AD and asthma are shown in Figures 2 and 3.\nPlot showing odd ratios for development of atopic dermatitis in offspring in the first 2 years of life, according to maternal, paternal or biparental atopy (atopic dermatitis and/or asthma and/or rhinitis)\nPlot showing odd ratios for development of atopic dermatitis in offspring at 6, 12, and 24 months, according to parental atopic dermatitis or asthma. *not statistically significant", "This secondary data analysis of a large unselected first‐born cohort showed an increased risk of AD in those who had a parental history of atopy, and specifically a maternal or paternal history of AD or asthma. These results were consistent even after accounting for confounding factors, such as birth weight and transepidermal water loss (TEWL) at 2 months. This study showed a similar or slightly higher impact of paternal atopy on AD development, compared to maternal atopy. Parental allergic rhinitis was not associated with AD in offspring in the first 2 years, except for maternal rhinitis at 24 months. The genetic predisposition to allergic rhinitis, given the key role of aeroallergen sensitization in its pathogenesis, may not be associated with early onset AD, but may have a greater impact in later onset or persistent AD.\nStrengths of this study include the large sample size, the unselected nature of the subjects, the detailed assessments, and the extended follow up. AD was assessed by trained researchers using validated diagnostic criteria. Follow up to 24 months excluded transient eczematous eruptions that are common in the first year of life, and most patients who develop AD do so by 24 months. Retention between 6 months (n = 1836) and 24 months (n = 1617) was high at 88.1%, although complete data on AD status were missing on 16.2% (298/1836) of infants at 6 months and 20.7% (335/1617) of subjects at 24 months. Confounding factors were controlled for as far as possible. Limitations include the fact that this was a secondary data analysis. Parental AD, asthma, and rhinitis were self‐reported, which may reduce reliability and may contribute to the differences seen between the impact of maternal and paternal reported atopy on offspring. Data on siblings were not captured, as participants in the study were first‐born children. Filaggrin mutational analysis was not performed, which would have provided richer detail in the analysis of parental history and TEWL. Children who developed medical problems such as AD may have been more likely to stay in the study, and children without health problems may have been more likely to be lost to follow up, which may skew the prevalence data or other results.\nMost previous studies have used parent‐reported data for diagnosis of atopy in both parents and children.\n7\n, \n8\n, \n9\n Very few studies have used objective assessment of AD for diagnosis in offspring. The prevalence of AD in children has increased dramatically in recent years,\n16\n and most studies reporting the impact of parental atopic history on AD are based on older data. Given the recent interest in early intervention to prevent AD and other allergic diseases,\n17\n enhanced early identification of infants at risk of AD is increasingly important. This study provides a detailed analysis of the risk of AD associated with parental atopy at multiple specific time points in early life, which may help to risk stratify infants to optimize early interventions for prevention or early treatment of AD.\nThis study from a longitudinal birth cohort adds to the knowledge base relating to parental atopy and risk of AD, showing that both maternal and paternal histories of AD and asthma are associated with increased risk of AD in offspring in early life.", "Cathal O'Connor co‐designed the study, analyzed and interpreted the data, wrote the first draft, and reviewed the manuscript. Vicki Livingstone, Jonathan O'B. Hourihane, Alan D. Irvine, and Geraldine Boylan analyzed and interpreted the data and reviewed the manuscript. Deirdre Murray co‐designed the study, analyzed and interpreted the data, and reviewed the manuscript. All authors gave final approval of the version to be published.", "This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number 12/RC/2272 and 15/SP/3091 and Johnson & Johnson. The Cork BASELINE Birth Cohort Study (ClinicalTrials.gov NCT01498965) is supported by the National Children's Research Centre, Dublin, Ireland and by the Food Standards Agency, United Kingdom (TO7060). Cathal O'Connor is funded by the Irish Clinical Academic Training (ICAT) program, supported by the Wellcome Trust and the Health Research Board (grant number 223047/Z/21/Z); the Health Service Executive National Doctors Training and Planning; and the Health and Social Care, Research and Development Division, Northern Ireland.", "JO'BH receives research funding related to this field from the City of Dublin Skin and Cancer Hospital Charity, and to unrelated research projects from Clemens von Pirquet Foundation and Temple St Hospital Research Foundation and Johnson & Johnson, research funding and speaker fees and consultancy fees from Aimmune Therepeutics, research funding and speaker fees from DBV Technologies." ]
[ null, "methods", null, null, null, "results", null, null, null, null, "discussion", null, null, "COI-statement" ]
[ "atopic dermatitis", "atopy", "family history", "genetics" ]
INTRODUCTION: Atopic dermatitis (AD) affects one in five children, 1 usually starts in the first year of life, and commonly persists into adulthood. 2 The pathophysiology of AD is complex, involving skin barrier dysfunction, 3 aberrant immune responses, 4 and environmental factors such as microbial exposure. 5 Loss of function mutations in FLG, the gene encoding filaggrin, represent the greatest genetic risk factor for development of AD. 6 Previous studies have shown differing odds ratios for AD in offspring of parents with atopic disease, although parental AD has been consistently associated with increased risk. 7 , 8 , 9 , 10 The Avon longitudinal study of parents and children (ALSPC) showed a strong association between parental AD and childhood AD, with an odds ratio of 1.69 (95% confidence interval 1.47–1.95) for maternal AD, 1.74 (1.44–2.09) for paternal AD, and 2.72 (2.09–3.53) for biparental AD. 7 The PARIS prospective birth cohort study showed that parental atopy (AD and/or asthma and/or rhinitis) was associated with an odds ratio of 2.31 (1.28–4.16) for severe AD. 11 The Protection Against Allergy Study in Rural Environments (PASTURE) birth cohort study showed that having one parent with atopy (AD and/or asthma and/or rhinitis) was associated with an odds ratio of 1.36 (0.84–2.20) for early transient AD, 2.15 (1.15–4.03) for early persistent AD, and 1.58 (0.83–3.03) for late AD; while having two parents with atopy was associated with an odds ratio of 2.46 (1.27–4.76) for early transient AD, 5.35 (2.52–11.36) for early persistent AD, and 2.41 (0.95–6.09) for late AD. 12 Some studies have suggested that maternal atopy is more strongly associated with AD, 10 , 13 while others have not identified a difference in risk between maternal or paternal atopy. 7 , 8 We aimed to assess the impact of maternal and paternal atopic disease on AD outcomes in offspring in early life in a large observational birth cohort study. METHODS: Study subjects This study was a secondary analysis of the Cork Babies After Scope: Evaluating the Longitudinal Impact Using Neurological and Nutritional Endpoints (BASELINE) Birth Cohort study. 14 The purpose of the BASELINE study was to examine the effects of environmental factors during pregnancy and infancy on childhood health and development. The BASELINE study recruited healthy first‐born term babies in Cork, Ireland, from August 2009 through to October 2011. Ethical approval was granted by the Clinical Research and Ethics Committee of the Cork Teaching Hospitals [ref ECM5(9) 01/07/2008]. Skin barrier assessment was performed on 2183 infants at birth and throughout early life by measuring transepidermal water loss (TEWL) using a validated open chamber system (Tewameter TM 300; Courage + Khazaka Electronic, Cologne, Germany). This study was a secondary analysis of the Cork Babies After Scope: Evaluating the Longitudinal Impact Using Neurological and Nutritional Endpoints (BASELINE) Birth Cohort study. 14 The purpose of the BASELINE study was to examine the effects of environmental factors during pregnancy and infancy on childhood health and development. The BASELINE study recruited healthy first‐born term babies in Cork, Ireland, from August 2009 through to October 2011. Ethical approval was granted by the Clinical Research and Ethics Committee of the Cork Teaching Hospitals [ref ECM5(9) 01/07/2008]. Skin barrier assessment was performed on 2183 infants at birth and throughout early life by measuring transepidermal water loss (TEWL) using a validated open chamber system (Tewameter TM 300; Courage + Khazaka Electronic, Cologne, Germany). Atopy and atopic dermatitis assessments All infants had assessments at birth, 2 months, 6 months, 12 months, and 24 months involving parental questionnaires and physical assessment. Self‐reported parental atopy (AD, asthma, or allergic rhinitis) was investigated by the questionsDO or DID you ever suffer from eczema (atopic dermatitis)?DO or DID you ever suffer from asthma?DO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)? DO or DID you ever suffer from eczema (atopic dermatitis)? DO or DID you ever suffer from asthma? DO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)? Parental atopy was self‐reported at 2 months. Parents were asked at 2 months if the infant had an “itchy rash on the face or in the folds of the arms or legs,” as a screening question for AD. Experienced health care personnel diagnosed AD at 6, 12, and 24 months according to the UK Working Party diagnostic criteria. 15 All infants had assessments at birth, 2 months, 6 months, 12 months, and 24 months involving parental questionnaires and physical assessment. Self‐reported parental atopy (AD, asthma, or allergic rhinitis) was investigated by the questionsDO or DID you ever suffer from eczema (atopic dermatitis)?DO or DID you ever suffer from asthma?DO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)? DO or DID you ever suffer from eczema (atopic dermatitis)? DO or DID you ever suffer from asthma? DO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)? Parental atopy was self‐reported at 2 months. Parents were asked at 2 months if the infant had an “itchy rash on the face or in the folds of the arms or legs,” as a screening question for AD. Experienced health care personnel diagnosed AD at 6, 12, and 24 months according to the UK Working Party diagnostic criteria. 15 Statistical analysis Categorical variables were described using frequency (percentage). Univariable and multivariable logistic regression models were used to investigate relationships between maternal and paternal atopic conditions, potential confounding variables and the presence of AD at 6 months, 12 months, and 24 months of age separately, and at all‐time points. The potential confounders included were sex, birth weight, transepidermal water loss (TEWL) at 2 months, parent‐reported “itchy rash” at 2 months, emollient bathing at 2 months, frequency of bathing at 2 months, and frequency of emollient application at 2 months. For all independent variables, the unadjusted and adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) are presented. Prior to performing the multivariable logistic regression analyses, multicollinearity among the independent variables was tested using the variance inflation factor (VIF). All tests were two‐sided and a p‐value <.05 was considered statistically significant. Statistical analysis was performed using Stata (version 15.1, StataCorp LP, College Station, TX). Categorical variables were described using frequency (percentage). Univariable and multivariable logistic regression models were used to investigate relationships between maternal and paternal atopic conditions, potential confounding variables and the presence of AD at 6 months, 12 months, and 24 months of age separately, and at all‐time points. The potential confounders included were sex, birth weight, transepidermal water loss (TEWL) at 2 months, parent‐reported “itchy rash” at 2 months, emollient bathing at 2 months, frequency of bathing at 2 months, and frequency of emollient application at 2 months. For all independent variables, the unadjusted and adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) are presented. Prior to performing the multivariable logistic regression analyses, multicollinearity among the independent variables was tested using the variance inflation factor (VIF). All tests were two‐sided and a p‐value <.05 was considered statistically significant. Statistical analysis was performed using Stata (version 15.1, StataCorp LP, College Station, TX). Study subjects: This study was a secondary analysis of the Cork Babies After Scope: Evaluating the Longitudinal Impact Using Neurological and Nutritional Endpoints (BASELINE) Birth Cohort study. 14 The purpose of the BASELINE study was to examine the effects of environmental factors during pregnancy and infancy on childhood health and development. The BASELINE study recruited healthy first‐born term babies in Cork, Ireland, from August 2009 through to October 2011. Ethical approval was granted by the Clinical Research and Ethics Committee of the Cork Teaching Hospitals [ref ECM5(9) 01/07/2008]. Skin barrier assessment was performed on 2183 infants at birth and throughout early life by measuring transepidermal water loss (TEWL) using a validated open chamber system (Tewameter TM 300; Courage + Khazaka Electronic, Cologne, Germany). Atopy and atopic dermatitis assessments: All infants had assessments at birth, 2 months, 6 months, 12 months, and 24 months involving parental questionnaires and physical assessment. Self‐reported parental atopy (AD, asthma, or allergic rhinitis) was investigated by the questionsDO or DID you ever suffer from eczema (atopic dermatitis)?DO or DID you ever suffer from asthma?DO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)? DO or DID you ever suffer from eczema (atopic dermatitis)? DO or DID you ever suffer from asthma? DO or DID you ever suffer from pollen‐related rhinitis (“hayfever”)? Parental atopy was self‐reported at 2 months. Parents were asked at 2 months if the infant had an “itchy rash on the face or in the folds of the arms or legs,” as a screening question for AD. Experienced health care personnel diagnosed AD at 6, 12, and 24 months according to the UK Working Party diagnostic criteria. 15 Statistical analysis: Categorical variables were described using frequency (percentage). Univariable and multivariable logistic regression models were used to investigate relationships between maternal and paternal atopic conditions, potential confounding variables and the presence of AD at 6 months, 12 months, and 24 months of age separately, and at all‐time points. The potential confounders included were sex, birth weight, transepidermal water loss (TEWL) at 2 months, parent‐reported “itchy rash” at 2 months, emollient bathing at 2 months, frequency of bathing at 2 months, and frequency of emollient application at 2 months. For all independent variables, the unadjusted and adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) are presented. Prior to performing the multivariable logistic regression analyses, multicollinearity among the independent variables was tested using the variance inflation factor (VIF). All tests were two‐sided and a p‐value <.05 was considered statistically significant. Statistical analysis was performed using Stata (version 15.1, StataCorp LP, College Station, TX). RESULTS: A flow diagram outlining study recruitment is shown in Figure 1. Complete data on AD status were available for 1505 children at 6, 12, and 24 months. Prevalence of AD was highest at 6 months (18.6%), decreasing to 15.2% at 12 months, and increasing to 16.5% at 24 months. Flow diagram showing each stage of the BASELINE study. n, number of infants; LFU, lost to follow up; CW, consent withdrawn Relationship between parental atopy and AD in first 2 years of life Parental atopic disease (either maternal or paternal or biparental history of AD and/or asthma and/or rhinitis) was associated with AD in both univariable and multivariable analysis (n = 1296). Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mother or father or both parents had a history of atopy {adjusted OR (95% CI): 2.26 (1.75–2.91), p < .001}. Maternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mothers had a history of atopy {adjusted OR (95% CI): 1.70 (1.31–2.22), p < .001}. Paternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose fathers had a history of atopy {adjusted OR (95% CI): 1.99 (1.51–2.61), p < .001}. Parental atopic disease (either maternal or paternal or biparental history of AD and/or asthma and/or rhinitis) was associated with AD in both univariable and multivariable analysis (n = 1296). Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mother or father or both parents had a history of atopy {adjusted OR (95% CI): 2.26 (1.75–2.91), p < .001}. Maternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mothers had a history of atopy {adjusted OR (95% CI): 1.70 (1.31–2.22), p < .001}. Paternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose fathers had a history of atopy {adjusted OR (95% CI): 1.99 (1.51–2.61), p < .001}. Relationship between specific parental atopic disease and AD at 6 months At 6 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in both univariable and multivariable analysis (Table 1). Based on the multivariable analysis, the odds of AD at 6 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.57 (1.09–2.25)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.76 (1.21–2.56)}. The odds of AD at 6 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.90 (1.28–2.83)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.70 (1.19–2.45)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 6 months. Results of the univariable and multivariable logistic regression analyses of family history with AD at 6 months as the dependent variable, n = 1538 Note: Bold values are those which were statistically significant (p value < 0.05). Includes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months. At 6 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in both univariable and multivariable analysis (Table 1). Based on the multivariable analysis, the odds of AD at 6 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.57 (1.09–2.25)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.76 (1.21–2.56)}. The odds of AD at 6 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.90 (1.28–2.83)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.70 (1.19–2.45)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 6 months. Results of the univariable and multivariable logistic regression analyses of family history with AD at 6 months as the dependent variable, n = 1538 Note: Bold values are those which were statistically significant (p value < 0.05). Includes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months. Relationship between specific parental atopic disease and AD at 12 months At 12 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 2). Paternal AD was no longer significantly associated with AD following multivariable analysis (p = .060). Based on the multivariable analysis, the odds of AD at 12 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.66 (1.12–2.46)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.75 (1.16–2.63)}. The odds of AD at 12 months were also higher among infants whose fathers had asthma {adjusted OR (95% CI): 1.86 (1.26–2.76)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 12 months. Results of logistic regression analyses of family history with AD at 12 months as the dependent variable, n = 1452 Note: Bold values are those which were statistically significant (p value < 0.05). Includes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months. At 12 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 2). Paternal AD was no longer significantly associated with AD following multivariable analysis (p = .060). Based on the multivariable analysis, the odds of AD at 12 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.66 (1.12–2.46)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.75 (1.16–2.63)}. The odds of AD at 12 months were also higher among infants whose fathers had asthma {adjusted OR (95% CI): 1.86 (1.26–2.76)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 12 months. Results of logistic regression analyses of family history with AD at 12 months as the dependent variable, n = 1452 Note: Bold values are those which were statistically significant (p value < 0.05). Includes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months. Relationship between specific parental atopic disease and AD at 24 months At 24 months, maternal AD, asthma and rhinitis and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 3). Maternal AD (p = .359) and asthma (p = .216) were no longer significantly associated with AD following multivariable analysis. Based on the multivariable analysis, the odds of AD at 24 months were higher among infants whose mothers had rhinitis {adjusted OR (95% CI): 1.79 (1.15–2.80)}. The odds of AD at 24 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.85 (1.20–2.85)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.99 (1.34–2.97)}. Paternal rhinitis was not associated with risk of AD at 24 months. Results of the univariable and multivariable logistic regression analyses of family history with AD at 24 months as the dependent variable, n = 1332 Note: Bold values are those which were statistically significant (p value < 0.05). Includes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months. The odds ratios and confidence intervals for development of AD in offspring at all‐time points with maternal and paternal AD and asthma are shown in Figures 2 and 3. Plot showing odd ratios for development of atopic dermatitis in offspring in the first 2 years of life, according to maternal, paternal or biparental atopy (atopic dermatitis and/or asthma and/or rhinitis) Plot showing odd ratios for development of atopic dermatitis in offspring at 6, 12, and 24 months, according to parental atopic dermatitis or asthma. *not statistically significant At 24 months, maternal AD, asthma and rhinitis and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 3). Maternal AD (p = .359) and asthma (p = .216) were no longer significantly associated with AD following multivariable analysis. Based on the multivariable analysis, the odds of AD at 24 months were higher among infants whose mothers had rhinitis {adjusted OR (95% CI): 1.79 (1.15–2.80)}. The odds of AD at 24 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.85 (1.20–2.85)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.99 (1.34–2.97)}. Paternal rhinitis was not associated with risk of AD at 24 months. Results of the univariable and multivariable logistic regression analyses of family history with AD at 24 months as the dependent variable, n = 1332 Note: Bold values are those which were statistically significant (p value < 0.05). Includes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months. The odds ratios and confidence intervals for development of AD in offspring at all‐time points with maternal and paternal AD and asthma are shown in Figures 2 and 3. Plot showing odd ratios for development of atopic dermatitis in offspring in the first 2 years of life, according to maternal, paternal or biparental atopy (atopic dermatitis and/or asthma and/or rhinitis) Plot showing odd ratios for development of atopic dermatitis in offspring at 6, 12, and 24 months, according to parental atopic dermatitis or asthma. *not statistically significant Relationship between parental atopy and AD in first 2 years of life: Parental atopic disease (either maternal or paternal or biparental history of AD and/or asthma and/or rhinitis) was associated with AD in both univariable and multivariable analysis (n = 1296). Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mother or father or both parents had a history of atopy {adjusted OR (95% CI): 2.26 (1.75–2.91), p < .001}. Maternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose mothers had a history of atopy {adjusted OR (95% CI): 1.70 (1.31–2.22), p < .001}. Paternal atopic disease (AD and/or asthma and/or rhinitis) was also associated with AD in both univariable and multivariable analysis. Based on the multivariable analysis, the odds of AD in the first 2 years of life were higher among infants whose fathers had a history of atopy {adjusted OR (95% CI): 1.99 (1.51–2.61), p < .001}. Relationship between specific parental atopic disease and AD at 6 months: At 6 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in both univariable and multivariable analysis (Table 1). Based on the multivariable analysis, the odds of AD at 6 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.57 (1.09–2.25)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.76 (1.21–2.56)}. The odds of AD at 6 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.90 (1.28–2.83)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.70 (1.19–2.45)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 6 months. Results of the univariable and multivariable logistic regression analyses of family history with AD at 6 months as the dependent variable, n = 1538 Note: Bold values are those which were statistically significant (p value < 0.05). Includes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months. Relationship between specific parental atopic disease and AD at 12 months: At 12 months, maternal AD and asthma and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 2). Paternal AD was no longer significantly associated with AD following multivariable analysis (p = .060). Based on the multivariable analysis, the odds of AD at 12 months were higher among infants whose mothers had AD {adjusted OR (95% CI): 1.66 (1.12–2.46)} and among infants whose mothers had asthma {adjusted OR (95% CI): 1.75 (1.16–2.63)}. The odds of AD at 12 months were also higher among infants whose fathers had asthma {adjusted OR (95% CI): 1.86 (1.26–2.76)}. Neither maternal nor paternal rhinitis were associated with increased risk of AD at 12 months. Results of logistic regression analyses of family history with AD at 12 months as the dependent variable, n = 1452 Note: Bold values are those which were statistically significant (p value < 0.05). Includes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months. Relationship between specific parental atopic disease and AD at 24 months: At 24 months, maternal AD, asthma and rhinitis and paternal AD and asthma were significantly associated with AD, in the univariable analysis (Table 3). Maternal AD (p = .359) and asthma (p = .216) were no longer significantly associated with AD following multivariable analysis. Based on the multivariable analysis, the odds of AD at 24 months were higher among infants whose mothers had rhinitis {adjusted OR (95% CI): 1.79 (1.15–2.80)}. The odds of AD at 24 months were also higher among infants whose fathers had AD {adjusted OR (95% CI): 1.85 (1.20–2.85)} and among infants whose fathers had asthma {adjusted OR (95% CI): 1.99 (1.34–2.97)}. Paternal rhinitis was not associated with risk of AD at 24 months. Results of the univariable and multivariable logistic regression analyses of family history with AD at 24 months as the dependent variable, n = 1332 Note: Bold values are those which were statistically significant (p value < 0.05). Includes the variables listed and sex, birth weight, and TEWL, “itchy rash,” emollient bathing, frequency of bathing, and frequency of emollient application at 2 months. The odds ratios and confidence intervals for development of AD in offspring at all‐time points with maternal and paternal AD and asthma are shown in Figures 2 and 3. Plot showing odd ratios for development of atopic dermatitis in offspring in the first 2 years of life, according to maternal, paternal or biparental atopy (atopic dermatitis and/or asthma and/or rhinitis) Plot showing odd ratios for development of atopic dermatitis in offspring at 6, 12, and 24 months, according to parental atopic dermatitis or asthma. *not statistically significant DISCUSSION: This secondary data analysis of a large unselected first‐born cohort showed an increased risk of AD in those who had a parental history of atopy, and specifically a maternal or paternal history of AD or asthma. These results were consistent even after accounting for confounding factors, such as birth weight and transepidermal water loss (TEWL) at 2 months. This study showed a similar or slightly higher impact of paternal atopy on AD development, compared to maternal atopy. Parental allergic rhinitis was not associated with AD in offspring in the first 2 years, except for maternal rhinitis at 24 months. The genetic predisposition to allergic rhinitis, given the key role of aeroallergen sensitization in its pathogenesis, may not be associated with early onset AD, but may have a greater impact in later onset or persistent AD. Strengths of this study include the large sample size, the unselected nature of the subjects, the detailed assessments, and the extended follow up. AD was assessed by trained researchers using validated diagnostic criteria. Follow up to 24 months excluded transient eczematous eruptions that are common in the first year of life, and most patients who develop AD do so by 24 months. Retention between 6 months (n = 1836) and 24 months (n = 1617) was high at 88.1%, although complete data on AD status were missing on 16.2% (298/1836) of infants at 6 months and 20.7% (335/1617) of subjects at 24 months. Confounding factors were controlled for as far as possible. Limitations include the fact that this was a secondary data analysis. Parental AD, asthma, and rhinitis were self‐reported, which may reduce reliability and may contribute to the differences seen between the impact of maternal and paternal reported atopy on offspring. Data on siblings were not captured, as participants in the study were first‐born children. Filaggrin mutational analysis was not performed, which would have provided richer detail in the analysis of parental history and TEWL. Children who developed medical problems such as AD may have been more likely to stay in the study, and children without health problems may have been more likely to be lost to follow up, which may skew the prevalence data or other results. Most previous studies have used parent‐reported data for diagnosis of atopy in both parents and children. 7 , 8 , 9 Very few studies have used objective assessment of AD for diagnosis in offspring. The prevalence of AD in children has increased dramatically in recent years, 16 and most studies reporting the impact of parental atopic history on AD are based on older data. Given the recent interest in early intervention to prevent AD and other allergic diseases, 17 enhanced early identification of infants at risk of AD is increasingly important. This study provides a detailed analysis of the risk of AD associated with parental atopy at multiple specific time points in early life, which may help to risk stratify infants to optimize early interventions for prevention or early treatment of AD. This study from a longitudinal birth cohort adds to the knowledge base relating to parental atopy and risk of AD, showing that both maternal and paternal histories of AD and asthma are associated with increased risk of AD in offspring in early life. AUTHOR CONTRIBUTIONS: Cathal O'Connor co‐designed the study, analyzed and interpreted the data, wrote the first draft, and reviewed the manuscript. Vicki Livingstone, Jonathan O'B. Hourihane, Alan D. Irvine, and Geraldine Boylan analyzed and interpreted the data and reviewed the manuscript. Deirdre Murray co‐designed the study, analyzed and interpreted the data, and reviewed the manuscript. All authors gave final approval of the version to be published. FUNDING INFORMATION: This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number 12/RC/2272 and 15/SP/3091 and Johnson & Johnson. The Cork BASELINE Birth Cohort Study (ClinicalTrials.gov NCT01498965) is supported by the National Children's Research Centre, Dublin, Ireland and by the Food Standards Agency, United Kingdom (TO7060). Cathal O'Connor is funded by the Irish Clinical Academic Training (ICAT) program, supported by the Wellcome Trust and the Health Research Board (grant number 223047/Z/21/Z); the Health Service Executive National Doctors Training and Planning; and the Health and Social Care, Research and Development Division, Northern Ireland. CONFLICT OF INTEREST: JO'BH receives research funding related to this field from the City of Dublin Skin and Cancer Hospital Charity, and to unrelated research projects from Clemens von Pirquet Foundation and Temple St Hospital Research Foundation and Johnson & Johnson, research funding and speaker fees and consultancy fees from Aimmune Therepeutics, research funding and speaker fees from DBV Technologies.
Background: Atopic dermatitis (AD) has a strong genetic basis. The objective of this study was to assess the association between parental atopy and AD development by 2 years. Methods: A secondary data analysis of the BASELINE Birth Cohort study was performed (n = 2183). Parental atopy was self-reported at 2 months. Infants were examined for AD by trained health care professionals at 6, 12, and 24 months. Variables extracted from the database related to skin barrier function, early skincare, parental atopy, and AD. Statistical analysis adjusted for potential confounding variables. Results: Complete data on AD status were available for 1505 children at 6, 12, and 24 months. Prevalence of AD was 18.6% at 6 months, 15.2% at 12 months, and 16.5% at 24 months. Adjusted odds ratios (95% CIs) following multivariable analysis were 1.57 (1.09-2.25) at 6 months and 1.66 (1.12-2.46) at 12 months for maternal AD; 1.90 (1.28-2.83) at 6 months and 1.85 (1.20-2.85) at 24 months for paternal AD; 1.76 (1.21-2.56) at 6 months and 1.75 (1.16-2.63) at 12 months for maternal asthma; and 1.70 (1.19-2.45) at 6 months, 1.86 (1.26-2.76) at 12 months, and 1.99 (1.34-2.97) at 24 months for paternal asthma. Parental rhinitis was only associated with AD with maternal rhinitis at 24 months (aOR (95% CI): 1.79 (1.15-2.80)). Conclusions: Parental AD and asthma were associated with increased risk of objectively diagnosed AD in offspring in this contemporary cohort.
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6,270
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[ 404, 145, 187, 194, 232, 233, 232, 347, 75, 131 ]
14
[ "ad", "months", "asthma", "analysis", "infants", "95", "multivariable", "paternal", "maternal", "adjusted" ]
[ "offspring parents atopic", "atopy parental allergic", "development atopic dermatitis", "impact parental atopic", "atopic dermatitis offspring" ]
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[CONTENT] atopic dermatitis | atopy | family history | genetics [SUMMARY]
[CONTENT] atopic dermatitis | atopy | family history | genetics [SUMMARY]
[CONTENT] atopic dermatitis | atopy | family history | genetics [SUMMARY]
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[CONTENT] atopic dermatitis | atopy | family history | genetics [SUMMARY]
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[CONTENT] Infant | Child | Male | Humans | Dermatitis, Atopic | Cohort Studies | Rhinitis | Birth Cohort | Asthma | Fathers | Risk Factors [SUMMARY]
[CONTENT] Infant | Child | Male | Humans | Dermatitis, Atopic | Cohort Studies | Rhinitis | Birth Cohort | Asthma | Fathers | Risk Factors [SUMMARY]
[CONTENT] Infant | Child | Male | Humans | Dermatitis, Atopic | Cohort Studies | Rhinitis | Birth Cohort | Asthma | Fathers | Risk Factors [SUMMARY]
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[CONTENT] Infant | Child | Male | Humans | Dermatitis, Atopic | Cohort Studies | Rhinitis | Birth Cohort | Asthma | Fathers | Risk Factors [SUMMARY]
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[CONTENT] offspring parents atopic | atopy parental allergic | development atopic dermatitis | impact parental atopic | atopic dermatitis offspring [SUMMARY]
[CONTENT] offspring parents atopic | atopy parental allergic | development atopic dermatitis | impact parental atopic | atopic dermatitis offspring [SUMMARY]
[CONTENT] offspring parents atopic | atopy parental allergic | development atopic dermatitis | impact parental atopic | atopic dermatitis offspring [SUMMARY]
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[CONTENT] offspring parents atopic | atopy parental allergic | development atopic dermatitis | impact parental atopic | atopic dermatitis offspring [SUMMARY]
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[CONTENT] ad | months | asthma | analysis | infants | 95 | multivariable | paternal | maternal | adjusted [SUMMARY]
[CONTENT] ad | months | asthma | analysis | infants | 95 | multivariable | paternal | maternal | adjusted [SUMMARY]
[CONTENT] ad | months | asthma | analysis | infants | 95 | multivariable | paternal | maternal | adjusted [SUMMARY]
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[CONTENT] ad | months | asthma | analysis | infants | 95 | multivariable | paternal | maternal | adjusted [SUMMARY]
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[CONTENT] ad | ratio | odds ratio | early | associated odds ratio | associated odds | associated | atopy | study | showed [SUMMARY]
[CONTENT] months | suffer | study | variables | cork | reported | baseline | atopic | frequency | 24 [SUMMARY]
[CONTENT] ad | months | asthma | adjusted 95 | 95 ci | adjusted 95 ci | ci | multivariable analysis | multivariable | adjusted [SUMMARY]
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[CONTENT] ad | months | asthma | multivariable | analysis | 95 | ci | adjusted 95 ci | 95 ci | adjusted 95 [SUMMARY]
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[CONTENT] ||| AD | 2 years [SUMMARY]
[CONTENT] the BASELINE Birth Cohort | 2183 ||| 2 months ||| AD | 6 | 12 | 24 months ||| ||| [SUMMARY]
[CONTENT] 1505 | 6 | 12 | 24 months ||| 18.6% | 6 months | 15.2% | 12 months | 16.5% | 24 months ||| 95% | 1.57 | 1.09-2.25 | 6 months | 1.66 | 1.12 | 12 months | 1.90 | 1.28 | 6 months | 1.85 | 1.20 | 24 months | 1.76 | 1.21 | 6 months and 1.75 | 1.16-2.63 | 12 months | 1.70 | 1.19-2.45 | 6 months | 1.86 | 1.26 | 12 months | 1.99 | 1.34 | 24 months ||| 24 months | 95% | CI | 1.79 | 1.15 [SUMMARY]
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[CONTENT] ||| AD | 2 years ||| the BASELINE Birth Cohort | 2183 ||| 2 months ||| AD | 6 | 12 | 24 months ||| ||| ||| 1505 | 6 | 12 | 24 months ||| 18.6% | 6 months | 15.2% | 12 months | 16.5% | 24 months ||| 95% | 1.57 | 1.09-2.25 | 6 months | 1.66 | 1.12 | 12 months | 1.90 | 1.28 | 6 months | 1.85 | 1.20 | 24 months | 1.76 | 1.21 | 6 months and 1.75 | 1.16-2.63 | 12 months | 1.70 | 1.19-2.45 | 6 months | 1.86 | 1.26 | 12 months | 1.99 | 1.34 | 24 months ||| 24 months | 95% | CI | 1.79 | 1.15 ||| [SUMMARY]
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Effect of angiotensin converting enzyme inhibitors and angiotensin receptor blockers on hemoglobin levels.
24188157
Angiotensin converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) are widely used in the management of congestive heart failure (CHF), diabetes mellitus (DM) and hypertension (HTN). Use of these agents is reported to cause anemia.
BACKGROUND
We examined the association between standard care use of ACEI or ARB and subsequent change in hemoglobin (Hgb) in a population of 701 adult primary care patients with DM, CHF and/or HTN. Data analysis was conducted to adjust for baseline differences between the treatment groups.
METHODS
After adjusting for differences in covariates at baseline between the subjects who were prescribed ACEI (N = 519) and ARB (N = 182), as well as the associated odds of being prescribed ARB, the ACEIs were associated with lower mean Hgb [0.18 (0.02, 0.34) g/dL, p = 0.02] at follow up relative to ARBs. However, patients with CHF experienced an increase in Hgb while on treatment (0.42 g/dL), especially those treated with ACEIs (0.56 g/dL). Chronic kidney disease at baseline was not associated with a significant decrease in Hgb in either treatment group.
RESULTS
Since ACEIs and ARBs are most frequently used in patients who are vulnerable to complications from anemia, such as patients with CHF, HTN and DM, these findings may be useful to clinicians in selecting medications and monitoring patients for the adverse effects of treatment.
CONCLUSIONS
[ "Aged", "Anemia", "Angiotensin Receptor Antagonists", "Angiotensin-Converting Enzyme Inhibitors", "Diabetes Mellitus", "Female", "Heart Failure", "Hemoglobins", "Humans", "Hypertension", "Male", "Middle Aged", "Odds Ratio", "Retrospective Studies" ]
4228356
Background
Angiotensin converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) are antihypertensive drugs that are now in wide use for indications in addition to the control of hypertension [1,2]. This wide use is largely due to their renoprotective and cardioprotective effects in patients with diabetes mellitus (DM) and congestive heart failure (CHF). In current practice ACEI/ARB medications are used for multiple reasons, ranging from prevention of proteinuria and progression to renal failure in diabetics, and first-line treatment of hypertensive patients with concurrent CHF and DM, to slowing the progression of heart failure and improving survival in CHF patients. There is a complex relationship between DM, CHF, and hypertension (HTN), as worsening diabetic nephropathy and CHF can lead to renal failure, causing HTN, further complicating the primary disease processes. ACEI/ARB medications have several uses in this complex situation, but the main goal is the prevention of complications, most notably renal failure leading to end stage renal disease. In the advanced stages of diseases like CHF and DM, many patients develop some level of anemia. This is not a benign finding. Anemia contributes to the worsening of heart failure [3-5] and renal function [6,7] and in many instances the treatment of anemia becomes part of the management of the patient’s overall condition [8]. For example, the “Anemia Correction in Diabetes” (ACORD) trial demonstrated that correction of anemia prevented an additional increase in left ventricular mass, and was associated with a significant improvement in quality of life [8]. A systemic review and meta-analysis of the effects of anemia in heart failure patients found anemia to be associated with increased mortality in both systolic and diastolic CHF and suggested that anemia could serve as a useful prognostic marker [3]. Prevalence of anemia in CHF is highly variable. Depending on the severity of heart failure and diagnostic criteria for anemia, prevalence can be as high as 50% in selected patient cohorts [3]. Lower Hgb levels are associated with greater functional impairment and poor exercise tolerance. Patients with incident anemia have the poorest survival, followed by those with prevalent anemia and no anemia [4]. Analysis of Valsartan in Heart Failure Trial (Val-HeFT) data also suggests that patients with larger decreases in Hgb are at higher risk of hospitalization, morbidity and mortality [9]. A prospective hospital based study concluded that anemia is a significant predictor of decline in glomerular filtration rate (GFR) [6]. Decreased Hgb also serves to identify type 2 diabetic patients who are at increased risk of progression to advanced renal disease [6,10]. Overall, lower GFR is associated with lower Hgb level [11]. The current study was conducted to observe and compare the effects of ACEIs and ARBs on Hgb levels in adults with CHF, DM and/or HTN.
Methods
This was a retrospective case series based on the electronic health records (EHR) of adult patients served by Essentia Health East in Duluth, MN. Eligible patients were aged 40–70, had an Essentia Health East primary care provider and received care within Essentia Health East facilities between July 1, 2004 and September 30, 2009. This study was reviewed and approved by the Essentia Health Institutional Review Board. Study population To be included in the study, eligible patients were required to have (1) been initially prescribed ACEI or ARB medications between January 1, 2005 and December 31, 2008, without a documented discontinuation for at least 6 months; (2) a diagnosis of DM, CHF, and/or HTN; (3) documentation of baseline Hgb level (12 months before to 10 days after initiation of ACEI or ARB medication) and Hgb level during the follow up period (3 to 12 months after initiation of medication); and (4) baseline GFR or data needed to compute GFR (12 months before to 30 days after initiation of medication). ACEI use has been found to be associated with a decrease in erythropoietin concentrations after as little as 28 days; [12] in this study follow up Hgb was assessed in the 3 to12 month window following the initiation of therapy. There were 7042 eligible patients who were between 40 and 70 years of age at the time of treatment initiation. Patients were excluded from the study if their medical record included evidence of (1) underlying conditions associated with anemia (hemoglobinopathy, bleeding disorder, chronic inflammatory disease, or treatment with vitamin B12 or folate) during the time from 6 months before initiation of ACEI or ARB until the end of the follow up period; or (2) other conditions or treatments that might affect Hgb level during the follow up period (blood transfusion, pregnancy, hemodialysis, malignancy requiring chemotherapy or radiotherapy, hospitalization, or treatment with EPO). Following these exclusions, 5613 patients remained eligible for the study. Of these, 5104 met inclusion criteria (2), above, and 839 met both (2) and (3). The study population consists of the 701 patients who met all four inclusion criteria. For eligible subjects data was extracted from the EHR: age, sex, class of medication (ACEI or ARB), underlying diagnoses (DM, CHF, and/or HTN), baseline Hgb and GFR, and follow up Hgb. If more than one Hgb report was recorded during the follow up period (3 to 12 months after the initiation of medication), the measure closest to 3 months was used. Chronic kidney disease (CKD) was defined as GFR < 60 mL/min/1.73 m [2]. To be included in the study, eligible patients were required to have (1) been initially prescribed ACEI or ARB medications between January 1, 2005 and December 31, 2008, without a documented discontinuation for at least 6 months; (2) a diagnosis of DM, CHF, and/or HTN; (3) documentation of baseline Hgb level (12 months before to 10 days after initiation of ACEI or ARB medication) and Hgb level during the follow up period (3 to 12 months after initiation of medication); and (4) baseline GFR or data needed to compute GFR (12 months before to 30 days after initiation of medication). ACEI use has been found to be associated with a decrease in erythropoietin concentrations after as little as 28 days; [12] in this study follow up Hgb was assessed in the 3 to12 month window following the initiation of therapy. There were 7042 eligible patients who were between 40 and 70 years of age at the time of treatment initiation. Patients were excluded from the study if their medical record included evidence of (1) underlying conditions associated with anemia (hemoglobinopathy, bleeding disorder, chronic inflammatory disease, or treatment with vitamin B12 or folate) during the time from 6 months before initiation of ACEI or ARB until the end of the follow up period; or (2) other conditions or treatments that might affect Hgb level during the follow up period (blood transfusion, pregnancy, hemodialysis, malignancy requiring chemotherapy or radiotherapy, hospitalization, or treatment with EPO). Following these exclusions, 5613 patients remained eligible for the study. Of these, 5104 met inclusion criteria (2), above, and 839 met both (2) and (3). The study population consists of the 701 patients who met all four inclusion criteria. For eligible subjects data was extracted from the EHR: age, sex, class of medication (ACEI or ARB), underlying diagnoses (DM, CHF, and/or HTN), baseline Hgb and GFR, and follow up Hgb. If more than one Hgb report was recorded during the follow up period (3 to 12 months after the initiation of medication), the measure closest to 3 months was used. Chronic kidney disease (CKD) was defined as GFR < 60 mL/min/1.73 m [2]. Data analysis Preliminary analysis of the ACEI and ARB groups at baseline identified differences between the treatment groups with regard to sex; prevalence of HTN, CHF, and CKD; and baseline Hgb; although not all differences were significant at the 0.05 level. In addition, it was noted that both the rate of prescription of ARB vs. ACEI and the follow up Hgb decreased slightly over the four year period. Accordingly, the fractional number of years from January 1, 2005 until treatment was initiated was included as a variable in the analysis. The investigators recognized that in clinical practice, provider-selected treatment is rarely, if ever, random. The preferential ordering of ACEI or ARB for subpopulations defined by sex and co-morbidities was not due to specific treatment guidelines or standards of clinical practice. Accordingly, the treatment effect of ARB relative to ACEI was considered to be truly confounded by the covariates for which treatment group differences had been identified. It was thus necessary to consider the associations between the baseline covariates and both follow up Hgb and providers’ treatment choices, in order to produce an unbiased estimate of the treatment effect. We estimated the effect of the two treatments on follow up Hgb with the use of the doubly robust (DR) semiparametric efficient estimator [13,14]. This method produces an estimate of the causal effect of ARB vs. ACEI on follow up Hgb by simultaneously incorporating (1) the chance that a given subject would receive ACEI or ARB, given their baseline characteristics (the propensity score), and (2) the effects of baseline characteristics (covariates) upon the outcome of interest (follow up Hgb). This approach to data analysis is “doubly robust” in the sense that the model produces an unbiased estimate of the causal effect if either (1) the effect of baseline covariates on the outcome or (2) the propensity score is correct. A complete-case ANCOVA was conducted. All analyses were completed using SAS ver. 9.2 and the SAS macro, %drmacro, described by Funk et al. [15] was used to produce the estimated causal effect and asymptotic confidence interval (CI). The bias-corrected and accelerated (BCa) bootstrap CI [16] of the causal effect was constructed for comparison with the asymptotic CI. Preliminary analysis of the ACEI and ARB groups at baseline identified differences between the treatment groups with regard to sex; prevalence of HTN, CHF, and CKD; and baseline Hgb; although not all differences were significant at the 0.05 level. In addition, it was noted that both the rate of prescription of ARB vs. ACEI and the follow up Hgb decreased slightly over the four year period. Accordingly, the fractional number of years from January 1, 2005 until treatment was initiated was included as a variable in the analysis. The investigators recognized that in clinical practice, provider-selected treatment is rarely, if ever, random. The preferential ordering of ACEI or ARB for subpopulations defined by sex and co-morbidities was not due to specific treatment guidelines or standards of clinical practice. Accordingly, the treatment effect of ARB relative to ACEI was considered to be truly confounded by the covariates for which treatment group differences had been identified. It was thus necessary to consider the associations between the baseline covariates and both follow up Hgb and providers’ treatment choices, in order to produce an unbiased estimate of the treatment effect. We estimated the effect of the two treatments on follow up Hgb with the use of the doubly robust (DR) semiparametric efficient estimator [13,14]. This method produces an estimate of the causal effect of ARB vs. ACEI on follow up Hgb by simultaneously incorporating (1) the chance that a given subject would receive ACEI or ARB, given their baseline characteristics (the propensity score), and (2) the effects of baseline characteristics (covariates) upon the outcome of interest (follow up Hgb). This approach to data analysis is “doubly robust” in the sense that the model produces an unbiased estimate of the causal effect if either (1) the effect of baseline covariates on the outcome or (2) the propensity score is correct. A complete-case ANCOVA was conducted. All analyses were completed using SAS ver. 9.2 and the SAS macro, %drmacro, described by Funk et al. [15] was used to produce the estimated causal effect and asymptotic confidence interval (CI). The bias-corrected and accelerated (BCa) bootstrap CI [16] of the causal effect was constructed for comparison with the asymptotic CI.
Results
In all, EHR data for 701 patients met study inclusion and exclusion criteria, with 519 patients receiving ACEI treatment and 182 receiving ARB. On average, the two Hgb tests were 314 days apart and the second one was 227 days after the initiation of treatment. The mean age for all treated patients was 57.53 +/− 7.73, with more men (54.4%) than women in the study population. Table 1 provides a summary of the baseline demographic and clinical characteristics of the two treatment groups, with associated p-values. Demographics by study group The estimated effects of baseline demographic and clinical characteristics on follow up hemoglobin are summarized in Table 2, both for the entire population studied (N = 701), and for the ACEI (N = 519) and ARB (N = 182) populations separately. Table 2 also summarizes the odds (odds ratio) that subjects with these characteristics received ARB (relative to ACEIs) treatment. The doubly robust analysis was based on these data. Impact of baseline covariates on (1) odds of receiving ARB relative to ACEI and (2) follow up Hgb levels (Factors Used in Doubly Robust Analysis) Sex, CHF, and baseline Hgb were associated with statistically significant effects on follow up Hgb. Patients with CHF were noted to have an increase in Hgb while on treatment (0.42 g/dl); this was especially noted in those treated with ACEIs (0.56 g/dl). While we observed that baseline CKD was associated with a decrease in Hgb (overall −0.15 g/dl, ACEI group −0.09 g/dl, ARB −0.31 g/dl), the difference between the two treatment groups was not statistically significant. In addition, ACEIs and ARBs were prescribed at different rates for different subpopulations, with ARBs prescribed more often for females and for subjects with an earlier treatment initiation date, as well as those with HTN, CHF, and with a lower baseline Hgb. Accordingly, (1) the likelihood that a subject with a specific set of baseline characteristics would receive ARBs (the propensity score), and (2) the observed follow up Hgb associated with each set of baseline characteristics were used in the doubly robust estimate of the effect of treatment on follow up Hgb. The unadjusted mean Hgb for patients who had received ACEIs was 0.30 (0.21, 0.39) g/dL lower at follow up than at baseline (14.37 vs. 14.67 g/dL), while the unadjusted mean Hgb for patients who had received ARBs was essentially unchanged from baseline at 14.32 g/dL. Thus the raw (unadjusted) difference between the ACEI and ARB effects on Hgb was significant (p = 0.0008). After accounting for the effect of baseline covariates and adjusting for differential prescription of ACEI or ARB (propensity), the estimated follow up Hgb and 95% confidence intervals for ACEI and ARB treatment were 14.32 (14.21, 14.42) g/dL and 14.50 (14.35, 14.65) g/dL, respectively (see Table 3). The ACEIs were associated with lower mean Hgb [0.18 (0.02, 0.34) g/dL, p = 0.02] at follow up relative to ARBs. These results are consistent with those obtained by bootstrap, with 100,000 replications, which found an estimated causal effect of 0.18 (0.01, 0.33) g/dL. Chronic kidney disease at baseline was not associated with a greater decrease in Hgb in the study population as a whole, or in either treatment group. Follow up hemoglobin after ACEI or ARB treatment, adjusted for baseline covariates
Conclusions
We found that the use ACEIs was associated with a lower Hgb at follow up, while the use of ARBs was not. The difference was small but statistically significant. Clinicians should consider possible effects of ACEI and ARB therapy on Hgb, especially in ambulatory patients with unexplained anemia. An improved understanding of the association between the use of ACEI and ARB therapy and the development of anemia could contribute significantly to the management of patients with DM, CHF and HTN. Study limitations This study was subject to several limitations. The sample (N = 701) was not large enough for extensive analysis of the effects of ACEI/ARB therapy in subgroups. In addition, while the study was designed to examine the impact of incident (new) use of ACEI and ARB medications, the study population may have included some individuals who were already receiving ACEI or ARB medications at baseline. The study population was limited to patients who already had primary care physicians at Essentia Health East prior to the initiation of ACEI/ARB therapy, so that the EHR could be used to exclude patients with known prior use of ACEIs/ARBs. This study was conducted in the Essentia Health East service area of Northwestern Wisconsin and Northeastern Minnesota, and the subjects doubtlessly reflected the limited ethnic diversity of the region. This study was subject to several limitations. The sample (N = 701) was not large enough for extensive analysis of the effects of ACEI/ARB therapy in subgroups. In addition, while the study was designed to examine the impact of incident (new) use of ACEI and ARB medications, the study population may have included some individuals who were already receiving ACEI or ARB medications at baseline. The study population was limited to patients who already had primary care physicians at Essentia Health East prior to the initiation of ACEI/ARB therapy, so that the EHR could be used to exclude patients with known prior use of ACEIs/ARBs. This study was conducted in the Essentia Health East service area of Northwestern Wisconsin and Northeastern Minnesota, and the subjects doubtlessly reflected the limited ethnic diversity of the region. Ethical approval This research was approved by the Essentia Health Institutional Review Board, Duluth, MN. This research was approved by the Essentia Health Institutional Review Board, Duluth, MN.
[ "Background", "Study population", "Data analysis", "Study limitations", "Ethical approval", "Competing interests", "Authors’ contributions" ]
[ "Angiotensin converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) are antihypertensive drugs that are now in wide use for indications in addition to the control of hypertension [1,2]. This wide use is largely due to their renoprotective and cardioprotective effects in patients with diabetes mellitus (DM) and congestive heart failure (CHF).\nIn current practice ACEI/ARB medications are used for multiple reasons, ranging from prevention of proteinuria and progression to renal failure in diabetics, and first-line treatment of hypertensive patients with concurrent CHF and DM, to slowing the progression of heart failure and improving survival in CHF patients. There is a complex relationship between DM, CHF, and hypertension (HTN), as worsening diabetic nephropathy and CHF can lead to renal failure, causing HTN, further complicating the primary disease processes. ACEI/ARB medications have several uses in this complex situation, but the main goal is the prevention of complications, most notably renal failure leading to end stage renal disease.\nIn the advanced stages of diseases like CHF and DM, many patients develop some level of anemia. This is not a benign finding. Anemia contributes to the worsening of heart failure [3-5] and renal function [6,7] and in many instances the treatment of anemia becomes part of the management of the patient’s overall condition [8]. For example, the “Anemia Correction in Diabetes” (ACORD) trial demonstrated that correction of anemia prevented an additional increase in left ventricular mass, and was associated with a significant improvement in quality of life [8].\nA systemic review and meta-analysis of the effects of anemia in heart failure patients found anemia to be associated with increased mortality in both systolic and diastolic CHF and suggested that anemia could serve as a useful prognostic marker [3]. Prevalence of anemia in CHF is highly variable. Depending on the severity of heart failure and diagnostic criteria for anemia, prevalence can be as high as 50% in selected patient cohorts [3]. Lower Hgb levels are associated with greater functional impairment and poor exercise tolerance. Patients with incident anemia have the poorest survival, followed by those with prevalent anemia and no anemia [4]. Analysis of Valsartan in Heart Failure Trial (Val-HeFT) data also suggests that patients with larger decreases in Hgb are at higher risk of hospitalization, morbidity and mortality [9].\nA prospective hospital based study concluded that anemia is a significant predictor of decline in glomerular filtration rate (GFR) [6]. Decreased Hgb also serves to identify type 2 diabetic patients who are at increased risk of progression to advanced renal disease [6,10]. Overall, lower GFR is associated with lower Hgb level [11].\nThe current study was conducted to observe and compare the effects of ACEIs and ARBs on Hgb levels in adults with CHF, DM and/or HTN.", "To be included in the study, eligible patients were required to have (1) been initially prescribed ACEI or ARB medications between January 1, 2005 and December 31, 2008, without a documented discontinuation for at least 6 months; (2) a diagnosis of DM, CHF, and/or HTN; (3) documentation of baseline Hgb level (12 months before to 10 days after initiation of ACEI or ARB medication) and Hgb level during the follow up period (3 to 12 months after initiation of medication); and (4) baseline GFR or data needed to compute GFR (12 months before to 30 days after initiation of medication). ACEI use has been found to be associated with a decrease in erythropoietin concentrations after as little as 28 days; [12] in this study follow up Hgb was assessed in the 3 to12 month window following the initiation of therapy. There were 7042 eligible patients who were between 40 and 70 years of age at the time of treatment initiation.\nPatients were excluded from the study if their medical record included evidence of (1) underlying conditions associated with anemia (hemoglobinopathy, bleeding disorder, chronic inflammatory disease, or treatment with vitamin B12 or folate) during the time from 6 months before initiation of ACEI or ARB until the end of the follow up period; or (2) other conditions or treatments that might affect Hgb level during the follow up period (blood transfusion, pregnancy, hemodialysis, malignancy requiring chemotherapy or radiotherapy, hospitalization, or treatment with EPO).\nFollowing these exclusions, 5613 patients remained eligible for the study. Of these, 5104 met inclusion criteria (2), above, and 839 met both (2) and (3). The study population consists of the 701 patients who met all four inclusion criteria.\nFor eligible subjects data was extracted from the EHR: age, sex, class of medication (ACEI or ARB), underlying diagnoses (DM, CHF, and/or HTN), baseline Hgb and GFR, and follow up Hgb. If more than one Hgb report was recorded during the follow up period (3 to 12 months after the initiation of medication), the measure closest to 3 months was used. Chronic kidney disease (CKD) was defined as GFR < 60 mL/min/1.73 m [2].", "Preliminary analysis of the ACEI and ARB groups at baseline identified differences between the treatment groups with regard to sex; prevalence of HTN, CHF, and CKD; and baseline Hgb; although not all differences were significant at the 0.05 level. In addition, it was noted that both the rate of prescription of ARB vs. ACEI and the follow up Hgb decreased slightly over the four year period. Accordingly, the fractional number of years from January 1, 2005 until treatment was initiated was included as a variable in the analysis. The investigators recognized that in clinical practice, provider-selected treatment is rarely, if ever, random. The preferential ordering of ACEI or ARB for subpopulations defined by sex and co-morbidities was not due to specific treatment guidelines or standards of clinical practice. Accordingly, the treatment effect of ARB relative to ACEI was considered to be truly confounded by the covariates for which treatment group differences had been identified. It was thus necessary to consider the associations between the baseline covariates and both follow up Hgb and providers’ treatment choices, in order to produce an unbiased estimate of the treatment effect.\nWe estimated the effect of the two treatments on follow up Hgb with the use of the doubly robust (DR) semiparametric efficient estimator [13,14]. This method produces an estimate of the causal effect of ARB vs. ACEI on follow up Hgb by simultaneously incorporating (1) the chance that a given subject would receive ACEI or ARB, given their baseline characteristics (the propensity score), and (2) the effects of baseline characteristics (covariates) upon the outcome of interest (follow up Hgb). This approach to data analysis is “doubly robust” in the sense that the model produces an unbiased estimate of the causal effect if either (1) the effect of baseline covariates on the outcome or (2) the propensity score is correct. A complete-case ANCOVA was conducted. All analyses were completed using SAS ver. 9.2 and the SAS macro, %drmacro, described by Funk et al. [15] was used to produce the estimated causal effect and asymptotic confidence interval (CI). The bias-corrected and accelerated (BCa) bootstrap CI [16] of the causal effect was constructed for comparison with the asymptotic CI.", "This study was subject to several limitations. The sample (N = 701) was not large enough for extensive analysis of the effects of ACEI/ARB therapy in subgroups. In addition, while the study was designed to examine the impact of incident (new) use of ACEI and ARB medications, the study population may have included some individuals who were already receiving ACEI or ARB medications at baseline. The study population was limited to patients who already had primary care physicians at Essentia Health East prior to the initiation of ACEI/ARB therapy, so that the EHR could be used to exclude patients with known prior use of ACEIs/ARBs. This study was conducted in the Essentia Health East service area of Northwestern Wisconsin and Northeastern Minnesota, and the subjects doubtlessly reflected the limited ethnic diversity of the region.", "This research was approved by the Essentia Health Institutional Review Board, Duluth, MN.", "The authors declare that they have no competing interests.", "AA conceived of study, contributed to the study design, and drafted the manuscript. CEG contributed to the study design and drafted the manuscript. BPJ amended the statistical analysis plan, performed the statistical analyzes, and drafted the manuscript. CMR contributed to the study design, developed the statistical analysis plan, and drafted the manuscript. JAP procured and prepared the data. All authors read and approved the final manuscript." ]
[ null, null, null, null, null, null, null ]
[ "Background", "Methods", "Study population", "Data analysis", "Results", "Discussion", "Conclusions", "Study limitations", "Ethical approval", "Competing interests", "Authors’ contributions" ]
[ "Angiotensin converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) are antihypertensive drugs that are now in wide use for indications in addition to the control of hypertension [1,2]. This wide use is largely due to their renoprotective and cardioprotective effects in patients with diabetes mellitus (DM) and congestive heart failure (CHF).\nIn current practice ACEI/ARB medications are used for multiple reasons, ranging from prevention of proteinuria and progression to renal failure in diabetics, and first-line treatment of hypertensive patients with concurrent CHF and DM, to slowing the progression of heart failure and improving survival in CHF patients. There is a complex relationship between DM, CHF, and hypertension (HTN), as worsening diabetic nephropathy and CHF can lead to renal failure, causing HTN, further complicating the primary disease processes. ACEI/ARB medications have several uses in this complex situation, but the main goal is the prevention of complications, most notably renal failure leading to end stage renal disease.\nIn the advanced stages of diseases like CHF and DM, many patients develop some level of anemia. This is not a benign finding. Anemia contributes to the worsening of heart failure [3-5] and renal function [6,7] and in many instances the treatment of anemia becomes part of the management of the patient’s overall condition [8]. For example, the “Anemia Correction in Diabetes” (ACORD) trial demonstrated that correction of anemia prevented an additional increase in left ventricular mass, and was associated with a significant improvement in quality of life [8].\nA systemic review and meta-analysis of the effects of anemia in heart failure patients found anemia to be associated with increased mortality in both systolic and diastolic CHF and suggested that anemia could serve as a useful prognostic marker [3]. Prevalence of anemia in CHF is highly variable. Depending on the severity of heart failure and diagnostic criteria for anemia, prevalence can be as high as 50% in selected patient cohorts [3]. Lower Hgb levels are associated with greater functional impairment and poor exercise tolerance. Patients with incident anemia have the poorest survival, followed by those with prevalent anemia and no anemia [4]. Analysis of Valsartan in Heart Failure Trial (Val-HeFT) data also suggests that patients with larger decreases in Hgb are at higher risk of hospitalization, morbidity and mortality [9].\nA prospective hospital based study concluded that anemia is a significant predictor of decline in glomerular filtration rate (GFR) [6]. Decreased Hgb also serves to identify type 2 diabetic patients who are at increased risk of progression to advanced renal disease [6,10]. Overall, lower GFR is associated with lower Hgb level [11].\nThe current study was conducted to observe and compare the effects of ACEIs and ARBs on Hgb levels in adults with CHF, DM and/or HTN.", "This was a retrospective case series based on the electronic health records (EHR) of adult patients served by Essentia Health East in Duluth, MN. Eligible patients were aged 40–70, had an Essentia Health East primary care provider and received care within Essentia Health East facilities between July 1, 2004 and September 30, 2009. This study was reviewed and approved by the Essentia Health Institutional Review Board.\n Study population To be included in the study, eligible patients were required to have (1) been initially prescribed ACEI or ARB medications between January 1, 2005 and December 31, 2008, without a documented discontinuation for at least 6 months; (2) a diagnosis of DM, CHF, and/or HTN; (3) documentation of baseline Hgb level (12 months before to 10 days after initiation of ACEI or ARB medication) and Hgb level during the follow up period (3 to 12 months after initiation of medication); and (4) baseline GFR or data needed to compute GFR (12 months before to 30 days after initiation of medication). ACEI use has been found to be associated with a decrease in erythropoietin concentrations after as little as 28 days; [12] in this study follow up Hgb was assessed in the 3 to12 month window following the initiation of therapy. There were 7042 eligible patients who were between 40 and 70 years of age at the time of treatment initiation.\nPatients were excluded from the study if their medical record included evidence of (1) underlying conditions associated with anemia (hemoglobinopathy, bleeding disorder, chronic inflammatory disease, or treatment with vitamin B12 or folate) during the time from 6 months before initiation of ACEI or ARB until the end of the follow up period; or (2) other conditions or treatments that might affect Hgb level during the follow up period (blood transfusion, pregnancy, hemodialysis, malignancy requiring chemotherapy or radiotherapy, hospitalization, or treatment with EPO).\nFollowing these exclusions, 5613 patients remained eligible for the study. Of these, 5104 met inclusion criteria (2), above, and 839 met both (2) and (3). The study population consists of the 701 patients who met all four inclusion criteria.\nFor eligible subjects data was extracted from the EHR: age, sex, class of medication (ACEI or ARB), underlying diagnoses (DM, CHF, and/or HTN), baseline Hgb and GFR, and follow up Hgb. If more than one Hgb report was recorded during the follow up period (3 to 12 months after the initiation of medication), the measure closest to 3 months was used. Chronic kidney disease (CKD) was defined as GFR < 60 mL/min/1.73 m [2].\nTo be included in the study, eligible patients were required to have (1) been initially prescribed ACEI or ARB medications between January 1, 2005 and December 31, 2008, without a documented discontinuation for at least 6 months; (2) a diagnosis of DM, CHF, and/or HTN; (3) documentation of baseline Hgb level (12 months before to 10 days after initiation of ACEI or ARB medication) and Hgb level during the follow up period (3 to 12 months after initiation of medication); and (4) baseline GFR or data needed to compute GFR (12 months before to 30 days after initiation of medication). ACEI use has been found to be associated with a decrease in erythropoietin concentrations after as little as 28 days; [12] in this study follow up Hgb was assessed in the 3 to12 month window following the initiation of therapy. There were 7042 eligible patients who were between 40 and 70 years of age at the time of treatment initiation.\nPatients were excluded from the study if their medical record included evidence of (1) underlying conditions associated with anemia (hemoglobinopathy, bleeding disorder, chronic inflammatory disease, or treatment with vitamin B12 or folate) during the time from 6 months before initiation of ACEI or ARB until the end of the follow up period; or (2) other conditions or treatments that might affect Hgb level during the follow up period (blood transfusion, pregnancy, hemodialysis, malignancy requiring chemotherapy or radiotherapy, hospitalization, or treatment with EPO).\nFollowing these exclusions, 5613 patients remained eligible for the study. Of these, 5104 met inclusion criteria (2), above, and 839 met both (2) and (3). The study population consists of the 701 patients who met all four inclusion criteria.\nFor eligible subjects data was extracted from the EHR: age, sex, class of medication (ACEI or ARB), underlying diagnoses (DM, CHF, and/or HTN), baseline Hgb and GFR, and follow up Hgb. If more than one Hgb report was recorded during the follow up period (3 to 12 months after the initiation of medication), the measure closest to 3 months was used. Chronic kidney disease (CKD) was defined as GFR < 60 mL/min/1.73 m [2].\n Data analysis Preliminary analysis of the ACEI and ARB groups at baseline identified differences between the treatment groups with regard to sex; prevalence of HTN, CHF, and CKD; and baseline Hgb; although not all differences were significant at the 0.05 level. In addition, it was noted that both the rate of prescription of ARB vs. ACEI and the follow up Hgb decreased slightly over the four year period. Accordingly, the fractional number of years from January 1, 2005 until treatment was initiated was included as a variable in the analysis. The investigators recognized that in clinical practice, provider-selected treatment is rarely, if ever, random. The preferential ordering of ACEI or ARB for subpopulations defined by sex and co-morbidities was not due to specific treatment guidelines or standards of clinical practice. Accordingly, the treatment effect of ARB relative to ACEI was considered to be truly confounded by the covariates for which treatment group differences had been identified. It was thus necessary to consider the associations between the baseline covariates and both follow up Hgb and providers’ treatment choices, in order to produce an unbiased estimate of the treatment effect.\nWe estimated the effect of the two treatments on follow up Hgb with the use of the doubly robust (DR) semiparametric efficient estimator [13,14]. This method produces an estimate of the causal effect of ARB vs. ACEI on follow up Hgb by simultaneously incorporating (1) the chance that a given subject would receive ACEI or ARB, given their baseline characteristics (the propensity score), and (2) the effects of baseline characteristics (covariates) upon the outcome of interest (follow up Hgb). This approach to data analysis is “doubly robust” in the sense that the model produces an unbiased estimate of the causal effect if either (1) the effect of baseline covariates on the outcome or (2) the propensity score is correct. A complete-case ANCOVA was conducted. All analyses were completed using SAS ver. 9.2 and the SAS macro, %drmacro, described by Funk et al. [15] was used to produce the estimated causal effect and asymptotic confidence interval (CI). The bias-corrected and accelerated (BCa) bootstrap CI [16] of the causal effect was constructed for comparison with the asymptotic CI.\nPreliminary analysis of the ACEI and ARB groups at baseline identified differences between the treatment groups with regard to sex; prevalence of HTN, CHF, and CKD; and baseline Hgb; although not all differences were significant at the 0.05 level. In addition, it was noted that both the rate of prescription of ARB vs. ACEI and the follow up Hgb decreased slightly over the four year period. Accordingly, the fractional number of years from January 1, 2005 until treatment was initiated was included as a variable in the analysis. The investigators recognized that in clinical practice, provider-selected treatment is rarely, if ever, random. The preferential ordering of ACEI or ARB for subpopulations defined by sex and co-morbidities was not due to specific treatment guidelines or standards of clinical practice. Accordingly, the treatment effect of ARB relative to ACEI was considered to be truly confounded by the covariates for which treatment group differences had been identified. It was thus necessary to consider the associations between the baseline covariates and both follow up Hgb and providers’ treatment choices, in order to produce an unbiased estimate of the treatment effect.\nWe estimated the effect of the two treatments on follow up Hgb with the use of the doubly robust (DR) semiparametric efficient estimator [13,14]. This method produces an estimate of the causal effect of ARB vs. ACEI on follow up Hgb by simultaneously incorporating (1) the chance that a given subject would receive ACEI or ARB, given their baseline characteristics (the propensity score), and (2) the effects of baseline characteristics (covariates) upon the outcome of interest (follow up Hgb). This approach to data analysis is “doubly robust” in the sense that the model produces an unbiased estimate of the causal effect if either (1) the effect of baseline covariates on the outcome or (2) the propensity score is correct. A complete-case ANCOVA was conducted. All analyses were completed using SAS ver. 9.2 and the SAS macro, %drmacro, described by Funk et al. [15] was used to produce the estimated causal effect and asymptotic confidence interval (CI). The bias-corrected and accelerated (BCa) bootstrap CI [16] of the causal effect was constructed for comparison with the asymptotic CI.", "To be included in the study, eligible patients were required to have (1) been initially prescribed ACEI or ARB medications between January 1, 2005 and December 31, 2008, without a documented discontinuation for at least 6 months; (2) a diagnosis of DM, CHF, and/or HTN; (3) documentation of baseline Hgb level (12 months before to 10 days after initiation of ACEI or ARB medication) and Hgb level during the follow up period (3 to 12 months after initiation of medication); and (4) baseline GFR or data needed to compute GFR (12 months before to 30 days after initiation of medication). ACEI use has been found to be associated with a decrease in erythropoietin concentrations after as little as 28 days; [12] in this study follow up Hgb was assessed in the 3 to12 month window following the initiation of therapy. There were 7042 eligible patients who were between 40 and 70 years of age at the time of treatment initiation.\nPatients were excluded from the study if their medical record included evidence of (1) underlying conditions associated with anemia (hemoglobinopathy, bleeding disorder, chronic inflammatory disease, or treatment with vitamin B12 or folate) during the time from 6 months before initiation of ACEI or ARB until the end of the follow up period; or (2) other conditions or treatments that might affect Hgb level during the follow up period (blood transfusion, pregnancy, hemodialysis, malignancy requiring chemotherapy or radiotherapy, hospitalization, or treatment with EPO).\nFollowing these exclusions, 5613 patients remained eligible for the study. Of these, 5104 met inclusion criteria (2), above, and 839 met both (2) and (3). The study population consists of the 701 patients who met all four inclusion criteria.\nFor eligible subjects data was extracted from the EHR: age, sex, class of medication (ACEI or ARB), underlying diagnoses (DM, CHF, and/or HTN), baseline Hgb and GFR, and follow up Hgb. If more than one Hgb report was recorded during the follow up period (3 to 12 months after the initiation of medication), the measure closest to 3 months was used. Chronic kidney disease (CKD) was defined as GFR < 60 mL/min/1.73 m [2].", "Preliminary analysis of the ACEI and ARB groups at baseline identified differences between the treatment groups with regard to sex; prevalence of HTN, CHF, and CKD; and baseline Hgb; although not all differences were significant at the 0.05 level. In addition, it was noted that both the rate of prescription of ARB vs. ACEI and the follow up Hgb decreased slightly over the four year period. Accordingly, the fractional number of years from January 1, 2005 until treatment was initiated was included as a variable in the analysis. The investigators recognized that in clinical practice, provider-selected treatment is rarely, if ever, random. The preferential ordering of ACEI or ARB for subpopulations defined by sex and co-morbidities was not due to specific treatment guidelines or standards of clinical practice. Accordingly, the treatment effect of ARB relative to ACEI was considered to be truly confounded by the covariates for which treatment group differences had been identified. It was thus necessary to consider the associations between the baseline covariates and both follow up Hgb and providers’ treatment choices, in order to produce an unbiased estimate of the treatment effect.\nWe estimated the effect of the two treatments on follow up Hgb with the use of the doubly robust (DR) semiparametric efficient estimator [13,14]. This method produces an estimate of the causal effect of ARB vs. ACEI on follow up Hgb by simultaneously incorporating (1) the chance that a given subject would receive ACEI or ARB, given their baseline characteristics (the propensity score), and (2) the effects of baseline characteristics (covariates) upon the outcome of interest (follow up Hgb). This approach to data analysis is “doubly robust” in the sense that the model produces an unbiased estimate of the causal effect if either (1) the effect of baseline covariates on the outcome or (2) the propensity score is correct. A complete-case ANCOVA was conducted. All analyses were completed using SAS ver. 9.2 and the SAS macro, %drmacro, described by Funk et al. [15] was used to produce the estimated causal effect and asymptotic confidence interval (CI). The bias-corrected and accelerated (BCa) bootstrap CI [16] of the causal effect was constructed for comparison with the asymptotic CI.", "In all, EHR data for 701 patients met study inclusion and exclusion criteria, with 519 patients receiving ACEI treatment and 182 receiving ARB. On average, the two Hgb tests were 314 days apart and the second one was 227 days after the initiation of treatment. The mean age for all treated patients was 57.53 +/− 7.73, with more men (54.4%) than women in the study population. Table 1 provides a summary of the baseline demographic and clinical characteristics of the two treatment groups, with associated p-values.\nDemographics by study group\nThe estimated effects of baseline demographic and clinical characteristics on follow up hemoglobin are summarized in Table 2, both for the entire population studied (N = 701), and for the ACEI (N = 519) and ARB (N = 182) populations separately. Table 2 also summarizes the odds (odds ratio) that subjects with these characteristics received ARB (relative to ACEIs) treatment. The doubly robust analysis was based on these data.\nImpact of baseline covariates on (1) odds of receiving ARB relative to ACEI and (2) follow up Hgb levels (Factors Used in Doubly Robust Analysis)\nSex, CHF, and baseline Hgb were associated with statistically significant effects on follow up Hgb. Patients with CHF were noted to have an increase in Hgb while on treatment (0.42 g/dl); this was especially noted in those treated with ACEIs (0.56 g/dl). While we observed that baseline CKD was associated with a decrease in Hgb (overall −0.15 g/dl, ACEI group −0.09 g/dl, ARB −0.31 g/dl), the difference between the two treatment groups was not statistically significant. In addition, ACEIs and ARBs were prescribed at different rates for different subpopulations, with ARBs prescribed more often for females and for subjects with an earlier treatment initiation date, as well as those with HTN, CHF, and with a lower baseline Hgb. Accordingly, (1) the likelihood that a subject with a specific set of baseline characteristics would receive ARBs (the propensity score), and (2) the observed follow up Hgb associated with each set of baseline characteristics were used in the doubly robust estimate of the effect of treatment on follow up Hgb.\nThe unadjusted mean Hgb for patients who had received ACEIs was 0.30 (0.21, 0.39) g/dL lower at follow up than at baseline (14.37 vs. 14.67 g/dL), while the unadjusted mean Hgb for patients who had received ARBs was essentially unchanged from baseline at 14.32 g/dL. Thus the raw (unadjusted) difference between the ACEI and ARB effects on Hgb was significant (p = 0.0008). After accounting for the effect of baseline covariates and adjusting for differential prescription of ACEI or ARB (propensity), the estimated follow up Hgb and 95% confidence intervals for ACEI and ARB treatment were 14.32 (14.21, 14.42) g/dL and 14.50 (14.35, 14.65) g/dL, respectively (see Table 3). The ACEIs were associated with lower mean Hgb [0.18 (0.02, 0.34) g/dL, p = 0.02] at follow up relative to ARBs. These results are consistent with those obtained by bootstrap, with 100,000 replications, which found an estimated causal effect of 0.18 (0.01, 0.33) g/dL. Chronic kidney disease at baseline was not associated with a greater decrease in Hgb in the study population as a whole, or in either treatment group.\nFollow up hemoglobin after ACEI or ARB treatment, adjusted for baseline covariates", "We found that the use of ACEIs was associated with a decrease in Hgb levels, while the use of ARBs was not. After adjustment for the differences between the ACEI and ARB populations at baseline, the difference in follow up Hgb between the ACEI and ARB groups was found to be statistically significant. Since these drugs are most frequently used in patients who are vulnerable to complications from anemia, such as older patients with cardiac conditions, these findings may be useful to clinicians in selecting medications and monitoring patients for the adverse effects of treatment.\nThe mechanism of action of ACEIs and ARBs and their effects on hemoglobin level are not well established. Several studies have concluded that ACEIs may interfere with the production of erythropoietin (EPO) [12,17]. A study of kidney transplant patients concluded that ACEI related reduction in hemoglobin could reflect the modulation of multiple factors interacting with erythroid marrow progenitors [17]. An association between ACEI therapy, decrease in Hgb and suppression of EPO production has also been documented [18]. Angiotensin 2 increases proliferation of early erythroid progenitors but not the progenitors of other cell lines and ARB completely abolishes this effect [19]. These observations point to a possible inhibitory effect of these medications on bone marrow.\nThis study presented a challenge that is common in observational research: adjusting for baseline differences in treatment groups. That is, in determining the effect of ACEI and ARB medications on Hgb levels, we first had to adjust for the impact of other known factors. For example, both baseline Hgb and patient sex had larger effects on follow up Hgb than either of the classes of medications studied. Similarly, while the lower mean Hgb value at baseline in the ARB group (14.32 +/− 1.51) when compared to the ACEI group (14.67 +/− 1.39) might have been partially explained by the greater proportion of females in that group (54.4% vs. 42.6%), the magnitude of this effect was unknown. We also observed in this study that patients with CHF experienced an increase in Hgb while on treatment. This may be related to improvement in hemodilution in these patients as their CHF improves with ACEI therapy, as hemodilution is one of the possible etiologies of anemia in chronic CHF patients [20,21]. The reasons for the observed differences in the other covariates at baseline were also unclear, but ultimately could be rendered moot if the data analysis could fully adjust for the differences. The adjustment for baseline differences in covariates was the principal consideration in the selection of the analysis methods used in this study.\nIn planning this study, we were interested in determining if baseline level of renal function would affect the magnitude of the drop in Hgb with either of the classes of drugs studied. Worsening chronic kidney disease (CKD) is frequently associated with declining Hgb levels, and several studies have found that ACEI or ARB drugs may contribute to or exacerbate anemia [4,7,18,22]. In the current study, the presence of baseline CKD was found to be associated with a decline in Hgb in both ACEI (−0.09 g/dL) and ARB (−0.31 g/dL) patients, but the effect of CKD was not statistically significant. In 2008, Inoue et al. [7] reported on a retrospective chart review of Japanese patients using ACEI/ARB and found that the use of ARB was associated with a decrease in Hgb in patients with diabetic nephropathy. Of note is the study selection of patients with GFR < 60 mL/min/1.73 m [2]. As well-documented in the literature and National Kidney Foundation guidelines, advanced renal disease is associated with anemia independent of other risk factors. Therefore, we determined that it would be reasonable to study the effects of ACEI and ARB in heart failure and diabetic patients with early disease who have relatively well preserved kidney function.\nOur finding that the use of ACEIs, compared with ARBs, was associated with a lower follow up Hgb after adjusting for covariates appears to be at variance with the findings of Inoue et al. [7] who reported a significant decrease in Hgb with ARBs (−0.54 ± 1.02 g/dL, p < 0.001), but not with ACEIs in their study of Type II diabetic patients with chronic kidney disease [7].", "We found that the use ACEIs was associated with a lower Hgb at follow up, while the use of ARBs was not. The difference was small but statistically significant. Clinicians should consider possible effects of ACEI and ARB therapy on Hgb, especially in ambulatory patients with unexplained anemia. An improved understanding of the association between the use of ACEI and ARB therapy and the development of anemia could contribute significantly to the management of patients with DM, CHF and HTN.\n Study limitations This study was subject to several limitations. The sample (N = 701) was not large enough for extensive analysis of the effects of ACEI/ARB therapy in subgroups. In addition, while the study was designed to examine the impact of incident (new) use of ACEI and ARB medications, the study population may have included some individuals who were already receiving ACEI or ARB medications at baseline. The study population was limited to patients who already had primary care physicians at Essentia Health East prior to the initiation of ACEI/ARB therapy, so that the EHR could be used to exclude patients with known prior use of ACEIs/ARBs. This study was conducted in the Essentia Health East service area of Northwestern Wisconsin and Northeastern Minnesota, and the subjects doubtlessly reflected the limited ethnic diversity of the region.\nThis study was subject to several limitations. The sample (N = 701) was not large enough for extensive analysis of the effects of ACEI/ARB therapy in subgroups. In addition, while the study was designed to examine the impact of incident (new) use of ACEI and ARB medications, the study population may have included some individuals who were already receiving ACEI or ARB medications at baseline. The study population was limited to patients who already had primary care physicians at Essentia Health East prior to the initiation of ACEI/ARB therapy, so that the EHR could be used to exclude patients with known prior use of ACEIs/ARBs. This study was conducted in the Essentia Health East service area of Northwestern Wisconsin and Northeastern Minnesota, and the subjects doubtlessly reflected the limited ethnic diversity of the region.\n Ethical approval This research was approved by the Essentia Health Institutional Review Board, Duluth, MN.\nThis research was approved by the Essentia Health Institutional Review Board, Duluth, MN.", "This study was subject to several limitations. The sample (N = 701) was not large enough for extensive analysis of the effects of ACEI/ARB therapy in subgroups. In addition, while the study was designed to examine the impact of incident (new) use of ACEI and ARB medications, the study population may have included some individuals who were already receiving ACEI or ARB medications at baseline. The study population was limited to patients who already had primary care physicians at Essentia Health East prior to the initiation of ACEI/ARB therapy, so that the EHR could be used to exclude patients with known prior use of ACEIs/ARBs. This study was conducted in the Essentia Health East service area of Northwestern Wisconsin and Northeastern Minnesota, and the subjects doubtlessly reflected the limited ethnic diversity of the region.", "This research was approved by the Essentia Health Institutional Review Board, Duluth, MN.", "The authors declare that they have no competing interests.", "AA conceived of study, contributed to the study design, and drafted the manuscript. CEG contributed to the study design and drafted the manuscript. BPJ amended the statistical analysis plan, performed the statistical analyzes, and drafted the manuscript. CMR contributed to the study design, developed the statistical analysis plan, and drafted the manuscript. JAP procured and prepared the data. All authors read and approved the final manuscript." ]
[ null, "methods", null, null, "results", "discussion", "conclusions", null, null, null, null ]
[ "Angiotensin converting enzyme inhibitors (ACEIs)", "Angiotensin receptor blockers (ARBs)", "Hemoglobin", "Anemia", "Chronic kidney disease (CKD)" ]
Background: Angiotensin converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) are antihypertensive drugs that are now in wide use for indications in addition to the control of hypertension [1,2]. This wide use is largely due to their renoprotective and cardioprotective effects in patients with diabetes mellitus (DM) and congestive heart failure (CHF). In current practice ACEI/ARB medications are used for multiple reasons, ranging from prevention of proteinuria and progression to renal failure in diabetics, and first-line treatment of hypertensive patients with concurrent CHF and DM, to slowing the progression of heart failure and improving survival in CHF patients. There is a complex relationship between DM, CHF, and hypertension (HTN), as worsening diabetic nephropathy and CHF can lead to renal failure, causing HTN, further complicating the primary disease processes. ACEI/ARB medications have several uses in this complex situation, but the main goal is the prevention of complications, most notably renal failure leading to end stage renal disease. In the advanced stages of diseases like CHF and DM, many patients develop some level of anemia. This is not a benign finding. Anemia contributes to the worsening of heart failure [3-5] and renal function [6,7] and in many instances the treatment of anemia becomes part of the management of the patient’s overall condition [8]. For example, the “Anemia Correction in Diabetes” (ACORD) trial demonstrated that correction of anemia prevented an additional increase in left ventricular mass, and was associated with a significant improvement in quality of life [8]. A systemic review and meta-analysis of the effects of anemia in heart failure patients found anemia to be associated with increased mortality in both systolic and diastolic CHF and suggested that anemia could serve as a useful prognostic marker [3]. Prevalence of anemia in CHF is highly variable. Depending on the severity of heart failure and diagnostic criteria for anemia, prevalence can be as high as 50% in selected patient cohorts [3]. Lower Hgb levels are associated with greater functional impairment and poor exercise tolerance. Patients with incident anemia have the poorest survival, followed by those with prevalent anemia and no anemia [4]. Analysis of Valsartan in Heart Failure Trial (Val-HeFT) data also suggests that patients with larger decreases in Hgb are at higher risk of hospitalization, morbidity and mortality [9]. A prospective hospital based study concluded that anemia is a significant predictor of decline in glomerular filtration rate (GFR) [6]. Decreased Hgb also serves to identify type 2 diabetic patients who are at increased risk of progression to advanced renal disease [6,10]. Overall, lower GFR is associated with lower Hgb level [11]. The current study was conducted to observe and compare the effects of ACEIs and ARBs on Hgb levels in adults with CHF, DM and/or HTN. Methods: This was a retrospective case series based on the electronic health records (EHR) of adult patients served by Essentia Health East in Duluth, MN. Eligible patients were aged 40–70, had an Essentia Health East primary care provider and received care within Essentia Health East facilities between July 1, 2004 and September 30, 2009. This study was reviewed and approved by the Essentia Health Institutional Review Board. Study population To be included in the study, eligible patients were required to have (1) been initially prescribed ACEI or ARB medications between January 1, 2005 and December 31, 2008, without a documented discontinuation for at least 6 months; (2) a diagnosis of DM, CHF, and/or HTN; (3) documentation of baseline Hgb level (12 months before to 10 days after initiation of ACEI or ARB medication) and Hgb level during the follow up period (3 to 12 months after initiation of medication); and (4) baseline GFR or data needed to compute GFR (12 months before to 30 days after initiation of medication). ACEI use has been found to be associated with a decrease in erythropoietin concentrations after as little as 28 days; [12] in this study follow up Hgb was assessed in the 3 to12 month window following the initiation of therapy. There were 7042 eligible patients who were between 40 and 70 years of age at the time of treatment initiation. Patients were excluded from the study if their medical record included evidence of (1) underlying conditions associated with anemia (hemoglobinopathy, bleeding disorder, chronic inflammatory disease, or treatment with vitamin B12 or folate) during the time from 6 months before initiation of ACEI or ARB until the end of the follow up period; or (2) other conditions or treatments that might affect Hgb level during the follow up period (blood transfusion, pregnancy, hemodialysis, malignancy requiring chemotherapy or radiotherapy, hospitalization, or treatment with EPO). Following these exclusions, 5613 patients remained eligible for the study. Of these, 5104 met inclusion criteria (2), above, and 839 met both (2) and (3). The study population consists of the 701 patients who met all four inclusion criteria. For eligible subjects data was extracted from the EHR: age, sex, class of medication (ACEI or ARB), underlying diagnoses (DM, CHF, and/or HTN), baseline Hgb and GFR, and follow up Hgb. If more than one Hgb report was recorded during the follow up period (3 to 12 months after the initiation of medication), the measure closest to 3 months was used. Chronic kidney disease (CKD) was defined as GFR < 60 mL/min/1.73 m [2]. To be included in the study, eligible patients were required to have (1) been initially prescribed ACEI or ARB medications between January 1, 2005 and December 31, 2008, without a documented discontinuation for at least 6 months; (2) a diagnosis of DM, CHF, and/or HTN; (3) documentation of baseline Hgb level (12 months before to 10 days after initiation of ACEI or ARB medication) and Hgb level during the follow up period (3 to 12 months after initiation of medication); and (4) baseline GFR or data needed to compute GFR (12 months before to 30 days after initiation of medication). ACEI use has been found to be associated with a decrease in erythropoietin concentrations after as little as 28 days; [12] in this study follow up Hgb was assessed in the 3 to12 month window following the initiation of therapy. There were 7042 eligible patients who were between 40 and 70 years of age at the time of treatment initiation. Patients were excluded from the study if their medical record included evidence of (1) underlying conditions associated with anemia (hemoglobinopathy, bleeding disorder, chronic inflammatory disease, or treatment with vitamin B12 or folate) during the time from 6 months before initiation of ACEI or ARB until the end of the follow up period; or (2) other conditions or treatments that might affect Hgb level during the follow up period (blood transfusion, pregnancy, hemodialysis, malignancy requiring chemotherapy or radiotherapy, hospitalization, or treatment with EPO). Following these exclusions, 5613 patients remained eligible for the study. Of these, 5104 met inclusion criteria (2), above, and 839 met both (2) and (3). The study population consists of the 701 patients who met all four inclusion criteria. For eligible subjects data was extracted from the EHR: age, sex, class of medication (ACEI or ARB), underlying diagnoses (DM, CHF, and/or HTN), baseline Hgb and GFR, and follow up Hgb. If more than one Hgb report was recorded during the follow up period (3 to 12 months after the initiation of medication), the measure closest to 3 months was used. Chronic kidney disease (CKD) was defined as GFR < 60 mL/min/1.73 m [2]. Data analysis Preliminary analysis of the ACEI and ARB groups at baseline identified differences between the treatment groups with regard to sex; prevalence of HTN, CHF, and CKD; and baseline Hgb; although not all differences were significant at the 0.05 level. In addition, it was noted that both the rate of prescription of ARB vs. ACEI and the follow up Hgb decreased slightly over the four year period. Accordingly, the fractional number of years from January 1, 2005 until treatment was initiated was included as a variable in the analysis. The investigators recognized that in clinical practice, provider-selected treatment is rarely, if ever, random. The preferential ordering of ACEI or ARB for subpopulations defined by sex and co-morbidities was not due to specific treatment guidelines or standards of clinical practice. Accordingly, the treatment effect of ARB relative to ACEI was considered to be truly confounded by the covariates for which treatment group differences had been identified. It was thus necessary to consider the associations between the baseline covariates and both follow up Hgb and providers’ treatment choices, in order to produce an unbiased estimate of the treatment effect. We estimated the effect of the two treatments on follow up Hgb with the use of the doubly robust (DR) semiparametric efficient estimator [13,14]. This method produces an estimate of the causal effect of ARB vs. ACEI on follow up Hgb by simultaneously incorporating (1) the chance that a given subject would receive ACEI or ARB, given their baseline characteristics (the propensity score), and (2) the effects of baseline characteristics (covariates) upon the outcome of interest (follow up Hgb). This approach to data analysis is “doubly robust” in the sense that the model produces an unbiased estimate of the causal effect if either (1) the effect of baseline covariates on the outcome or (2) the propensity score is correct. A complete-case ANCOVA was conducted. All analyses were completed using SAS ver. 9.2 and the SAS macro, %drmacro, described by Funk et al. [15] was used to produce the estimated causal effect and asymptotic confidence interval (CI). The bias-corrected and accelerated (BCa) bootstrap CI [16] of the causal effect was constructed for comparison with the asymptotic CI. Preliminary analysis of the ACEI and ARB groups at baseline identified differences between the treatment groups with regard to sex; prevalence of HTN, CHF, and CKD; and baseline Hgb; although not all differences were significant at the 0.05 level. In addition, it was noted that both the rate of prescription of ARB vs. ACEI and the follow up Hgb decreased slightly over the four year period. Accordingly, the fractional number of years from January 1, 2005 until treatment was initiated was included as a variable in the analysis. The investigators recognized that in clinical practice, provider-selected treatment is rarely, if ever, random. The preferential ordering of ACEI or ARB for subpopulations defined by sex and co-morbidities was not due to specific treatment guidelines or standards of clinical practice. Accordingly, the treatment effect of ARB relative to ACEI was considered to be truly confounded by the covariates for which treatment group differences had been identified. It was thus necessary to consider the associations between the baseline covariates and both follow up Hgb and providers’ treatment choices, in order to produce an unbiased estimate of the treatment effect. We estimated the effect of the two treatments on follow up Hgb with the use of the doubly robust (DR) semiparametric efficient estimator [13,14]. This method produces an estimate of the causal effect of ARB vs. ACEI on follow up Hgb by simultaneously incorporating (1) the chance that a given subject would receive ACEI or ARB, given their baseline characteristics (the propensity score), and (2) the effects of baseline characteristics (covariates) upon the outcome of interest (follow up Hgb). This approach to data analysis is “doubly robust” in the sense that the model produces an unbiased estimate of the causal effect if either (1) the effect of baseline covariates on the outcome or (2) the propensity score is correct. A complete-case ANCOVA was conducted. All analyses were completed using SAS ver. 9.2 and the SAS macro, %drmacro, described by Funk et al. [15] was used to produce the estimated causal effect and asymptotic confidence interval (CI). The bias-corrected and accelerated (BCa) bootstrap CI [16] of the causal effect was constructed for comparison with the asymptotic CI. Study population: To be included in the study, eligible patients were required to have (1) been initially prescribed ACEI or ARB medications between January 1, 2005 and December 31, 2008, without a documented discontinuation for at least 6 months; (2) a diagnosis of DM, CHF, and/or HTN; (3) documentation of baseline Hgb level (12 months before to 10 days after initiation of ACEI or ARB medication) and Hgb level during the follow up period (3 to 12 months after initiation of medication); and (4) baseline GFR or data needed to compute GFR (12 months before to 30 days after initiation of medication). ACEI use has been found to be associated with a decrease in erythropoietin concentrations after as little as 28 days; [12] in this study follow up Hgb was assessed in the 3 to12 month window following the initiation of therapy. There were 7042 eligible patients who were between 40 and 70 years of age at the time of treatment initiation. Patients were excluded from the study if their medical record included evidence of (1) underlying conditions associated with anemia (hemoglobinopathy, bleeding disorder, chronic inflammatory disease, or treatment with vitamin B12 or folate) during the time from 6 months before initiation of ACEI or ARB until the end of the follow up period; or (2) other conditions or treatments that might affect Hgb level during the follow up period (blood transfusion, pregnancy, hemodialysis, malignancy requiring chemotherapy or radiotherapy, hospitalization, or treatment with EPO). Following these exclusions, 5613 patients remained eligible for the study. Of these, 5104 met inclusion criteria (2), above, and 839 met both (2) and (3). The study population consists of the 701 patients who met all four inclusion criteria. For eligible subjects data was extracted from the EHR: age, sex, class of medication (ACEI or ARB), underlying diagnoses (DM, CHF, and/or HTN), baseline Hgb and GFR, and follow up Hgb. If more than one Hgb report was recorded during the follow up period (3 to 12 months after the initiation of medication), the measure closest to 3 months was used. Chronic kidney disease (CKD) was defined as GFR < 60 mL/min/1.73 m [2]. Data analysis: Preliminary analysis of the ACEI and ARB groups at baseline identified differences between the treatment groups with regard to sex; prevalence of HTN, CHF, and CKD; and baseline Hgb; although not all differences were significant at the 0.05 level. In addition, it was noted that both the rate of prescription of ARB vs. ACEI and the follow up Hgb decreased slightly over the four year period. Accordingly, the fractional number of years from January 1, 2005 until treatment was initiated was included as a variable in the analysis. The investigators recognized that in clinical practice, provider-selected treatment is rarely, if ever, random. The preferential ordering of ACEI or ARB for subpopulations defined by sex and co-morbidities was not due to specific treatment guidelines or standards of clinical practice. Accordingly, the treatment effect of ARB relative to ACEI was considered to be truly confounded by the covariates for which treatment group differences had been identified. It was thus necessary to consider the associations between the baseline covariates and both follow up Hgb and providers’ treatment choices, in order to produce an unbiased estimate of the treatment effect. We estimated the effect of the two treatments on follow up Hgb with the use of the doubly robust (DR) semiparametric efficient estimator [13,14]. This method produces an estimate of the causal effect of ARB vs. ACEI on follow up Hgb by simultaneously incorporating (1) the chance that a given subject would receive ACEI or ARB, given their baseline characteristics (the propensity score), and (2) the effects of baseline characteristics (covariates) upon the outcome of interest (follow up Hgb). This approach to data analysis is “doubly robust” in the sense that the model produces an unbiased estimate of the causal effect if either (1) the effect of baseline covariates on the outcome or (2) the propensity score is correct. A complete-case ANCOVA was conducted. All analyses were completed using SAS ver. 9.2 and the SAS macro, %drmacro, described by Funk et al. [15] was used to produce the estimated causal effect and asymptotic confidence interval (CI). The bias-corrected and accelerated (BCa) bootstrap CI [16] of the causal effect was constructed for comparison with the asymptotic CI. Results: In all, EHR data for 701 patients met study inclusion and exclusion criteria, with 519 patients receiving ACEI treatment and 182 receiving ARB. On average, the two Hgb tests were 314 days apart and the second one was 227 days after the initiation of treatment. The mean age for all treated patients was 57.53 +/− 7.73, with more men (54.4%) than women in the study population. Table 1 provides a summary of the baseline demographic and clinical characteristics of the two treatment groups, with associated p-values. Demographics by study group The estimated effects of baseline demographic and clinical characteristics on follow up hemoglobin are summarized in Table 2, both for the entire population studied (N = 701), and for the ACEI (N = 519) and ARB (N = 182) populations separately. Table 2 also summarizes the odds (odds ratio) that subjects with these characteristics received ARB (relative to ACEIs) treatment. The doubly robust analysis was based on these data. Impact of baseline covariates on (1) odds of receiving ARB relative to ACEI and (2) follow up Hgb levels (Factors Used in Doubly Robust Analysis) Sex, CHF, and baseline Hgb were associated with statistically significant effects on follow up Hgb. Patients with CHF were noted to have an increase in Hgb while on treatment (0.42 g/dl); this was especially noted in those treated with ACEIs (0.56 g/dl). While we observed that baseline CKD was associated with a decrease in Hgb (overall −0.15 g/dl, ACEI group −0.09 g/dl, ARB −0.31 g/dl), the difference between the two treatment groups was not statistically significant. In addition, ACEIs and ARBs were prescribed at different rates for different subpopulations, with ARBs prescribed more often for females and for subjects with an earlier treatment initiation date, as well as those with HTN, CHF, and with a lower baseline Hgb. Accordingly, (1) the likelihood that a subject with a specific set of baseline characteristics would receive ARBs (the propensity score), and (2) the observed follow up Hgb associated with each set of baseline characteristics were used in the doubly robust estimate of the effect of treatment on follow up Hgb. The unadjusted mean Hgb for patients who had received ACEIs was 0.30 (0.21, 0.39) g/dL lower at follow up than at baseline (14.37 vs. 14.67 g/dL), while the unadjusted mean Hgb for patients who had received ARBs was essentially unchanged from baseline at 14.32 g/dL. Thus the raw (unadjusted) difference between the ACEI and ARB effects on Hgb was significant (p = 0.0008). After accounting for the effect of baseline covariates and adjusting for differential prescription of ACEI or ARB (propensity), the estimated follow up Hgb and 95% confidence intervals for ACEI and ARB treatment were 14.32 (14.21, 14.42) g/dL and 14.50 (14.35, 14.65) g/dL, respectively (see Table 3). The ACEIs were associated with lower mean Hgb [0.18 (0.02, 0.34) g/dL, p = 0.02] at follow up relative to ARBs. These results are consistent with those obtained by bootstrap, with 100,000 replications, which found an estimated causal effect of 0.18 (0.01, 0.33) g/dL. Chronic kidney disease at baseline was not associated with a greater decrease in Hgb in the study population as a whole, or in either treatment group. Follow up hemoglobin after ACEI or ARB treatment, adjusted for baseline covariates Discussion: We found that the use of ACEIs was associated with a decrease in Hgb levels, while the use of ARBs was not. After adjustment for the differences between the ACEI and ARB populations at baseline, the difference in follow up Hgb between the ACEI and ARB groups was found to be statistically significant. Since these drugs are most frequently used in patients who are vulnerable to complications from anemia, such as older patients with cardiac conditions, these findings may be useful to clinicians in selecting medications and monitoring patients for the adverse effects of treatment. The mechanism of action of ACEIs and ARBs and their effects on hemoglobin level are not well established. Several studies have concluded that ACEIs may interfere with the production of erythropoietin (EPO) [12,17]. A study of kidney transplant patients concluded that ACEI related reduction in hemoglobin could reflect the modulation of multiple factors interacting with erythroid marrow progenitors [17]. An association between ACEI therapy, decrease in Hgb and suppression of EPO production has also been documented [18]. Angiotensin 2 increases proliferation of early erythroid progenitors but not the progenitors of other cell lines and ARB completely abolishes this effect [19]. These observations point to a possible inhibitory effect of these medications on bone marrow. This study presented a challenge that is common in observational research: adjusting for baseline differences in treatment groups. That is, in determining the effect of ACEI and ARB medications on Hgb levels, we first had to adjust for the impact of other known factors. For example, both baseline Hgb and patient sex had larger effects on follow up Hgb than either of the classes of medications studied. Similarly, while the lower mean Hgb value at baseline in the ARB group (14.32 +/− 1.51) when compared to the ACEI group (14.67 +/− 1.39) might have been partially explained by the greater proportion of females in that group (54.4% vs. 42.6%), the magnitude of this effect was unknown. We also observed in this study that patients with CHF experienced an increase in Hgb while on treatment. This may be related to improvement in hemodilution in these patients as their CHF improves with ACEI therapy, as hemodilution is one of the possible etiologies of anemia in chronic CHF patients [20,21]. The reasons for the observed differences in the other covariates at baseline were also unclear, but ultimately could be rendered moot if the data analysis could fully adjust for the differences. The adjustment for baseline differences in covariates was the principal consideration in the selection of the analysis methods used in this study. In planning this study, we were interested in determining if baseline level of renal function would affect the magnitude of the drop in Hgb with either of the classes of drugs studied. Worsening chronic kidney disease (CKD) is frequently associated with declining Hgb levels, and several studies have found that ACEI or ARB drugs may contribute to or exacerbate anemia [4,7,18,22]. In the current study, the presence of baseline CKD was found to be associated with a decline in Hgb in both ACEI (−0.09 g/dL) and ARB (−0.31 g/dL) patients, but the effect of CKD was not statistically significant. In 2008, Inoue et al. [7] reported on a retrospective chart review of Japanese patients using ACEI/ARB and found that the use of ARB was associated with a decrease in Hgb in patients with diabetic nephropathy. Of note is the study selection of patients with GFR < 60 mL/min/1.73 m [2]. As well-documented in the literature and National Kidney Foundation guidelines, advanced renal disease is associated with anemia independent of other risk factors. Therefore, we determined that it would be reasonable to study the effects of ACEI and ARB in heart failure and diabetic patients with early disease who have relatively well preserved kidney function. Our finding that the use of ACEIs, compared with ARBs, was associated with a lower follow up Hgb after adjusting for covariates appears to be at variance with the findings of Inoue et al. [7] who reported a significant decrease in Hgb with ARBs (−0.54 ± 1.02 g/dL, p < 0.001), but not with ACEIs in their study of Type II diabetic patients with chronic kidney disease [7]. Conclusions: We found that the use ACEIs was associated with a lower Hgb at follow up, while the use of ARBs was not. The difference was small but statistically significant. Clinicians should consider possible effects of ACEI and ARB therapy on Hgb, especially in ambulatory patients with unexplained anemia. An improved understanding of the association between the use of ACEI and ARB therapy and the development of anemia could contribute significantly to the management of patients with DM, CHF and HTN. Study limitations This study was subject to several limitations. The sample (N = 701) was not large enough for extensive analysis of the effects of ACEI/ARB therapy in subgroups. In addition, while the study was designed to examine the impact of incident (new) use of ACEI and ARB medications, the study population may have included some individuals who were already receiving ACEI or ARB medications at baseline. The study population was limited to patients who already had primary care physicians at Essentia Health East prior to the initiation of ACEI/ARB therapy, so that the EHR could be used to exclude patients with known prior use of ACEIs/ARBs. This study was conducted in the Essentia Health East service area of Northwestern Wisconsin and Northeastern Minnesota, and the subjects doubtlessly reflected the limited ethnic diversity of the region. This study was subject to several limitations. The sample (N = 701) was not large enough for extensive analysis of the effects of ACEI/ARB therapy in subgroups. In addition, while the study was designed to examine the impact of incident (new) use of ACEI and ARB medications, the study population may have included some individuals who were already receiving ACEI or ARB medications at baseline. The study population was limited to patients who already had primary care physicians at Essentia Health East prior to the initiation of ACEI/ARB therapy, so that the EHR could be used to exclude patients with known prior use of ACEIs/ARBs. This study was conducted in the Essentia Health East service area of Northwestern Wisconsin and Northeastern Minnesota, and the subjects doubtlessly reflected the limited ethnic diversity of the region. Ethical approval This research was approved by the Essentia Health Institutional Review Board, Duluth, MN. This research was approved by the Essentia Health Institutional Review Board, Duluth, MN. Study limitations: This study was subject to several limitations. The sample (N = 701) was not large enough for extensive analysis of the effects of ACEI/ARB therapy in subgroups. In addition, while the study was designed to examine the impact of incident (new) use of ACEI and ARB medications, the study population may have included some individuals who were already receiving ACEI or ARB medications at baseline. The study population was limited to patients who already had primary care physicians at Essentia Health East prior to the initiation of ACEI/ARB therapy, so that the EHR could be used to exclude patients with known prior use of ACEIs/ARBs. This study was conducted in the Essentia Health East service area of Northwestern Wisconsin and Northeastern Minnesota, and the subjects doubtlessly reflected the limited ethnic diversity of the region. Ethical approval: This research was approved by the Essentia Health Institutional Review Board, Duluth, MN. Competing interests: The authors declare that they have no competing interests. Authors’ contributions: AA conceived of study, contributed to the study design, and drafted the manuscript. CEG contributed to the study design and drafted the manuscript. BPJ amended the statistical analysis plan, performed the statistical analyzes, and drafted the manuscript. CMR contributed to the study design, developed the statistical analysis plan, and drafted the manuscript. JAP procured and prepared the data. All authors read and approved the final manuscript.
Background: Angiotensin converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) are widely used in the management of congestive heart failure (CHF), diabetes mellitus (DM) and hypertension (HTN). Use of these agents is reported to cause anemia. Methods: We examined the association between standard care use of ACEI or ARB and subsequent change in hemoglobin (Hgb) in a population of 701 adult primary care patients with DM, CHF and/or HTN. Data analysis was conducted to adjust for baseline differences between the treatment groups. Results: After adjusting for differences in covariates at baseline between the subjects who were prescribed ACEI (N = 519) and ARB (N = 182), as well as the associated odds of being prescribed ARB, the ACEIs were associated with lower mean Hgb [0.18 (0.02, 0.34) g/dL, p = 0.02] at follow up relative to ARBs. However, patients with CHF experienced an increase in Hgb while on treatment (0.42 g/dL), especially those treated with ACEIs (0.56 g/dL). Chronic kidney disease at baseline was not associated with a significant decrease in Hgb in either treatment group. Conclusions: Since ACEIs and ARBs are most frequently used in patients who are vulnerable to complications from anemia, such as patients with CHF, HTN and DM, these findings may be useful to clinicians in selecting medications and monitoring patients for the adverse effects of treatment.
Background: Angiotensin converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) are antihypertensive drugs that are now in wide use for indications in addition to the control of hypertension [1,2]. This wide use is largely due to their renoprotective and cardioprotective effects in patients with diabetes mellitus (DM) and congestive heart failure (CHF). In current practice ACEI/ARB medications are used for multiple reasons, ranging from prevention of proteinuria and progression to renal failure in diabetics, and first-line treatment of hypertensive patients with concurrent CHF and DM, to slowing the progression of heart failure and improving survival in CHF patients. There is a complex relationship between DM, CHF, and hypertension (HTN), as worsening diabetic nephropathy and CHF can lead to renal failure, causing HTN, further complicating the primary disease processes. ACEI/ARB medications have several uses in this complex situation, but the main goal is the prevention of complications, most notably renal failure leading to end stage renal disease. In the advanced stages of diseases like CHF and DM, many patients develop some level of anemia. This is not a benign finding. Anemia contributes to the worsening of heart failure [3-5] and renal function [6,7] and in many instances the treatment of anemia becomes part of the management of the patient’s overall condition [8]. For example, the “Anemia Correction in Diabetes” (ACORD) trial demonstrated that correction of anemia prevented an additional increase in left ventricular mass, and was associated with a significant improvement in quality of life [8]. A systemic review and meta-analysis of the effects of anemia in heart failure patients found anemia to be associated with increased mortality in both systolic and diastolic CHF and suggested that anemia could serve as a useful prognostic marker [3]. Prevalence of anemia in CHF is highly variable. Depending on the severity of heart failure and diagnostic criteria for anemia, prevalence can be as high as 50% in selected patient cohorts [3]. Lower Hgb levels are associated with greater functional impairment and poor exercise tolerance. Patients with incident anemia have the poorest survival, followed by those with prevalent anemia and no anemia [4]. Analysis of Valsartan in Heart Failure Trial (Val-HeFT) data also suggests that patients with larger decreases in Hgb are at higher risk of hospitalization, morbidity and mortality [9]. A prospective hospital based study concluded that anemia is a significant predictor of decline in glomerular filtration rate (GFR) [6]. Decreased Hgb also serves to identify type 2 diabetic patients who are at increased risk of progression to advanced renal disease [6,10]. Overall, lower GFR is associated with lower Hgb level [11]. The current study was conducted to observe and compare the effects of ACEIs and ARBs on Hgb levels in adults with CHF, DM and/or HTN. Conclusions: We found that the use ACEIs was associated with a lower Hgb at follow up, while the use of ARBs was not. The difference was small but statistically significant. Clinicians should consider possible effects of ACEI and ARB therapy on Hgb, especially in ambulatory patients with unexplained anemia. An improved understanding of the association between the use of ACEI and ARB therapy and the development of anemia could contribute significantly to the management of patients with DM, CHF and HTN. Study limitations This study was subject to several limitations. The sample (N = 701) was not large enough for extensive analysis of the effects of ACEI/ARB therapy in subgroups. In addition, while the study was designed to examine the impact of incident (new) use of ACEI and ARB medications, the study population may have included some individuals who were already receiving ACEI or ARB medications at baseline. The study population was limited to patients who already had primary care physicians at Essentia Health East prior to the initiation of ACEI/ARB therapy, so that the EHR could be used to exclude patients with known prior use of ACEIs/ARBs. This study was conducted in the Essentia Health East service area of Northwestern Wisconsin and Northeastern Minnesota, and the subjects doubtlessly reflected the limited ethnic diversity of the region. This study was subject to several limitations. The sample (N = 701) was not large enough for extensive analysis of the effects of ACEI/ARB therapy in subgroups. In addition, while the study was designed to examine the impact of incident (new) use of ACEI and ARB medications, the study population may have included some individuals who were already receiving ACEI or ARB medications at baseline. The study population was limited to patients who already had primary care physicians at Essentia Health East prior to the initiation of ACEI/ARB therapy, so that the EHR could be used to exclude patients with known prior use of ACEIs/ARBs. This study was conducted in the Essentia Health East service area of Northwestern Wisconsin and Northeastern Minnesota, and the subjects doubtlessly reflected the limited ethnic diversity of the region. Ethical approval This research was approved by the Essentia Health Institutional Review Board, Duluth, MN. This research was approved by the Essentia Health Institutional Review Board, Duluth, MN.
Background: Angiotensin converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) are widely used in the management of congestive heart failure (CHF), diabetes mellitus (DM) and hypertension (HTN). Use of these agents is reported to cause anemia. Methods: We examined the association between standard care use of ACEI or ARB and subsequent change in hemoglobin (Hgb) in a population of 701 adult primary care patients with DM, CHF and/or HTN. Data analysis was conducted to adjust for baseline differences between the treatment groups. Results: After adjusting for differences in covariates at baseline between the subjects who were prescribed ACEI (N = 519) and ARB (N = 182), as well as the associated odds of being prescribed ARB, the ACEIs were associated with lower mean Hgb [0.18 (0.02, 0.34) g/dL, p = 0.02] at follow up relative to ARBs. However, patients with CHF experienced an increase in Hgb while on treatment (0.42 g/dL), especially those treated with ACEIs (0.56 g/dL). Chronic kidney disease at baseline was not associated with a significant decrease in Hgb in either treatment group. Conclusions: Since ACEIs and ARBs are most frequently used in patients who are vulnerable to complications from anemia, such as patients with CHF, HTN and DM, these findings may be useful to clinicians in selecting medications and monitoring patients for the adverse effects of treatment.
5,576
290
[ 551, 457, 433, 155, 16, 10, 78 ]
11
[ "hgb", "acei", "arb", "study", "patients", "baseline", "treatment", "acei arb", "follow", "effect" ]
[ "renal failure diabetics", "angiotensin receptor blockers", "medication acei arb", "heart failure renal", "blockers arbs antihypertensive" ]
[CONTENT] Angiotensin converting enzyme inhibitors (ACEIs) | Angiotensin receptor blockers (ARBs) | Hemoglobin | Anemia | Chronic kidney disease (CKD) [SUMMARY]
[CONTENT] Angiotensin converting enzyme inhibitors (ACEIs) | Angiotensin receptor blockers (ARBs) | Hemoglobin | Anemia | Chronic kidney disease (CKD) [SUMMARY]
[CONTENT] Angiotensin converting enzyme inhibitors (ACEIs) | Angiotensin receptor blockers (ARBs) | Hemoglobin | Anemia | Chronic kidney disease (CKD) [SUMMARY]
[CONTENT] Angiotensin converting enzyme inhibitors (ACEIs) | Angiotensin receptor blockers (ARBs) | Hemoglobin | Anemia | Chronic kidney disease (CKD) [SUMMARY]
[CONTENT] Angiotensin converting enzyme inhibitors (ACEIs) | Angiotensin receptor blockers (ARBs) | Hemoglobin | Anemia | Chronic kidney disease (CKD) [SUMMARY]
[CONTENT] Angiotensin converting enzyme inhibitors (ACEIs) | Angiotensin receptor blockers (ARBs) | Hemoglobin | Anemia | Chronic kidney disease (CKD) [SUMMARY]
[CONTENT] Aged | Anemia | Angiotensin Receptor Antagonists | Angiotensin-Converting Enzyme Inhibitors | Diabetes Mellitus | Female | Heart Failure | Hemoglobins | Humans | Hypertension | Male | Middle Aged | Odds Ratio | Retrospective Studies [SUMMARY]
[CONTENT] Aged | Anemia | Angiotensin Receptor Antagonists | Angiotensin-Converting Enzyme Inhibitors | Diabetes Mellitus | Female | Heart Failure | Hemoglobins | Humans | Hypertension | Male | Middle Aged | Odds Ratio | Retrospective Studies [SUMMARY]
[CONTENT] Aged | Anemia | Angiotensin Receptor Antagonists | Angiotensin-Converting Enzyme Inhibitors | Diabetes Mellitus | Female | Heart Failure | Hemoglobins | Humans | Hypertension | Male | Middle Aged | Odds Ratio | Retrospective Studies [SUMMARY]
[CONTENT] Aged | Anemia | Angiotensin Receptor Antagonists | Angiotensin-Converting Enzyme Inhibitors | Diabetes Mellitus | Female | Heart Failure | Hemoglobins | Humans | Hypertension | Male | Middle Aged | Odds Ratio | Retrospective Studies [SUMMARY]
[CONTENT] Aged | Anemia | Angiotensin Receptor Antagonists | Angiotensin-Converting Enzyme Inhibitors | Diabetes Mellitus | Female | Heart Failure | Hemoglobins | Humans | Hypertension | Male | Middle Aged | Odds Ratio | Retrospective Studies [SUMMARY]
[CONTENT] Aged | Anemia | Angiotensin Receptor Antagonists | Angiotensin-Converting Enzyme Inhibitors | Diabetes Mellitus | Female | Heart Failure | Hemoglobins | Humans | Hypertension | Male | Middle Aged | Odds Ratio | Retrospective Studies [SUMMARY]
[CONTENT] renal failure diabetics | angiotensin receptor blockers | medication acei arb | heart failure renal | blockers arbs antihypertensive [SUMMARY]
[CONTENT] renal failure diabetics | angiotensin receptor blockers | medication acei arb | heart failure renal | blockers arbs antihypertensive [SUMMARY]
[CONTENT] renal failure diabetics | angiotensin receptor blockers | medication acei arb | heart failure renal | blockers arbs antihypertensive [SUMMARY]
[CONTENT] renal failure diabetics | angiotensin receptor blockers | medication acei arb | heart failure renal | blockers arbs antihypertensive [SUMMARY]
[CONTENT] renal failure diabetics | angiotensin receptor blockers | medication acei arb | heart failure renal | blockers arbs antihypertensive [SUMMARY]
[CONTENT] renal failure diabetics | angiotensin receptor blockers | medication acei arb | heart failure renal | blockers arbs antihypertensive [SUMMARY]
[CONTENT] hgb | acei | arb | study | patients | baseline | treatment | acei arb | follow | effect [SUMMARY]
[CONTENT] hgb | acei | arb | study | patients | baseline | treatment | acei arb | follow | effect [SUMMARY]
[CONTENT] hgb | acei | arb | study | patients | baseline | treatment | acei arb | follow | effect [SUMMARY]
[CONTENT] hgb | acei | arb | study | patients | baseline | treatment | acei arb | follow | effect [SUMMARY]
[CONTENT] hgb | acei | arb | study | patients | baseline | treatment | acei arb | follow | effect [SUMMARY]
[CONTENT] hgb | acei | arb | study | patients | baseline | treatment | acei arb | follow | effect [SUMMARY]
[CONTENT] anemia | failure | heart | renal | heart failure | chf | patients | dm | chf dm | progression [SUMMARY]
[CONTENT] hgb | treatment | follow | months | effect | acei | arb | baseline | medication | initiation [SUMMARY]
[CONTENT] dl | hgb | baseline | treatment | 14 | follow | arb | table | characteristics | acei [SUMMARY]
[CONTENT] arb therapy | acei arb therapy | study | arb | acei arb | acei | essentia | essentia health | health | therapy [SUMMARY]
[CONTENT] hgb | acei | arb | study | patients | baseline | treatment | acei arb | follow | effect [SUMMARY]
[CONTENT] hgb | acei | arb | study | patients | baseline | treatment | acei arb | follow | effect [SUMMARY]
[CONTENT] ||| [SUMMARY]
[CONTENT] ACEI | ARB | 701 | DM | CHF and/or HTN ||| [SUMMARY]
[CONTENT] ACEI | 519 | ARB | 182 | Hgb | 0.18 | 0.02 | 0.34 | 0.02 ||| CHF | Hgb | 0.42 ||| Hgb [SUMMARY]
[CONTENT] CHF | DM | clinicians [SUMMARY]
[CONTENT] ||| ||| ACEI | ARB | 701 | DM | CHF and/or HTN ||| ||| ACEI | 519 | ARB | 182 | Hgb | 0.18 | 0.02 | 0.34 ||| g/dL | 0.02 ||| CHF | Hgb | 0.42 ||| Hgb ||| CHF | DM | clinicians [SUMMARY]
[CONTENT] ||| ||| ACEI | ARB | 701 | DM | CHF and/or HTN ||| ||| ACEI | 519 | ARB | 182 | Hgb | 0.18 | 0.02 | 0.34 ||| g/dL | 0.02 ||| CHF | Hgb | 0.42 ||| Hgb ||| CHF | DM | clinicians [SUMMARY]
Genetic analyses of Vietnamese patients with oculocutaneous albinism.
35870188
Oculocutaneous albinism (OCA) is an autosomal recessive disease with hypopigmentation in skin, hair, and eyes, causing by the complete absence or reduction of melanin in melanocytes. Many types of OCA were observed based on the mutation in different causing genes relating to albinism. OCA can occur in non-syndromic and syndromic forms, where syndromic OCA coexists with additional systemic consequences beyond hypopigmentation and visual-associated symptoms.
BACKGROUND
We performed whole exome sequencing in seven affected individuals (P1-P7) for mutation identification, and then, Sanger sequencing was used for verifications.
METHODS
Among them, five patients (P1-P5) have mutations on TYR gene including c.346C > T, c.929insC, c.115 T > C, and c.559_560ins25. The mutation on OCA2 and HPS1 genes was found in patient 6 (P6, OCA2 c.2323G > A) and patient 7 (P7, HPS1 c.972delC), respectively. Confirmation in parents (except the family of the elderly patient, P5) showed that the mother and the father in each family carried one of the variants that were detected in patients. Additionally, the effective genetic counseling was applied in the third pregnancy of a family with two OCA children (P1 and P2).
RESULTS
To our best knowledge, this is the first case with a novel homozygous missense mutation (c.115 T > C, p.W39R) in the TYR gene. This study provides a broader spectrum of mutations linked to the oculocutaneous albinism, an additional scientific basis for diagnosis, and appropriate genetic counseling for risk couples.
CONCLUSION
[ "Aged", "Albinism, Oculocutaneous", "Asian People", "Child", "Female", "Humans", "Hypopigmentation", "Membrane Transport Proteins", "Mutation", "Pregnancy" ]
9459276
INTRODUCTION
Albinism is a rare genetic disorder caused by the reduction or absence of polymeric pigment melanin that affects the skin, hair, and/or eyes. Defective melanin production from tyrosine through a complex pathway of metabolic reactions leads to hypopigmentation, severe visual deficits, and finally albinism. Most patients with albinism have white hair and very light‐colored skin. Skin and hair color can range from white to brown and eyes color can range from light blue to brown. Vision impairment is a major feature of all albinism types. Several vision problems can occur, including nystagmus, iris transillumination, macular hypoplasia, strabismus, reduced visual acuity, and depth perception. There are two main albinism categories, which are classified based on the affection of skin, hair, and eyes, or only the eyes in oculocutaneous albinism (OCA) and ocular albinism (OA), respectively. In OCA, the number and structure of melanin are not significantly altered in any degree of observed pigmentation, whereas the appearance of a large number of distinct pigment cells within melanosomes is characteristic in OA. The OCA is a genetically heterogeneous and autosomal recessive disorder characterized by the hypopigmentation of skin, hair, and eyes. To date, at least seven autosomal genes have been associated with seven non‐syndromic OCA (OCA1, OCA2, OCA3, OCA4, OCA6, OCA7, and OCA8), including TYR, OCA2, TYRP1, SLC45A2, SLC24A5, C10orf11, and DCT. 1 , 2 For OCA5, the causative locus was mapped on chromosome 4q24, this is the only OCA subtype that causing genes have not been determined. 3 Other genes included HPS1, AP3B1, HPS3, HPS4, HPS5, HPS6, DTNBP1, BLOC1S3, BLOC1S6, AP3D1, BLOC1S5, and LYST were also involved in causing two syndromic OCA: Hermansky–Pudlak syndrome (HPS1‐11) and Chediak–Higashi syndrome (CHS). 4 , 5 , 6 Syndromic OCA can be more severe and associated with additional symptoms than only alteration of pigmentation and vision. The other type of albinism is ocular albinism (OA) that affected only the eyes, caused by mutation in OA1/GPR143 gene on X chromosome. 7 Vision acuity and photophobia of patients with OA are reduced and strabismus or nystagmus is also observed. 1 In Vietnam, until now, the genetic data of albinism have remained unknown. Thereby, for the first time, genetic analysis was performed on seven Vietnamese albinism patients in our study.
Method
Exome analysis The DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation. The variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG). The DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation. The variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG). Sanger validation The candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems). The candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems).
RESULT
Clinical features In all the seven patients, hypopigmented eyes, hair and skin, and photophobia were observed. The other ophthalmological findings, including nystagmus, reduced visual acuity, strabismus, foveal hypoplasia, ecchymosis, and reduced stereopsis, were different in each patient (Table 1). Patient characteristics (+) Positive; (−) Negative; (·) Not available. In brothers of P1 (7 years old) and P2 (5 years old), the clinical manifestation included white hair and skin, and blue eyes (Figure 1A,B). The presentation of photophobia with discomfort and eye pain when exposed to light, nystagmus (increased when illness and stress), and choroidal metaplasia were detected. Myopia −14 diopters (D) and visual acuity of 1/10 were identified in P1 and P2, respectively, and the problem to perceive depth was also observed in both patients (Table 1). Additionally, the younger brother showed a history of repeated pneumonia (P2). Clinical features of six albinism cases in Vietnam (patient 6 was not present) with hypopigmentation in skin, hair (white skin and hair in P1, P2, and P5; pinkish‐white skin and light yellow hair in P3 and P4; white skin and brown hair in P7), and iris color arrange from blue (P1, P2, and P7) to brown (P3, P4, and P5) Patients 3 (P3, 27 years old) and 4 (P4, 23 years old) were the first and the second child in a family of three children. The fair skin, light blonde hair, brown eyes (Figure 1C,D), photophobia, nystagmus, amblyopia, and decreased perception of depth were observed in both patients. The younger sister (P4) presented with strabismus in her right eye (Table 1 and Figure 1D), a history of glomerulonephritis, scaly dermatitis, and subcutaneous hemorrhage. Patient 5 (P5) was a 63‐year‐old man with white skin and hair, blue eyes, and photophobia (Figure 1E). The patient had been visual acuity of 6/10 in both eyes and reduced stereopsis. Manifestations of nystagmus and foveal hypoplasia were not observed in this patient (Table 1). Patient 6 (P6) was a 26‐year‐old woman, the second child in the family. Clinical features of OCA consist of pinkish‐white skin, hair and eyebrows, light brown eyelashes, brown eyes, and manifestations of photophobia (patient's images were not provided). The patient had normal physical, mental, and motor development, with no manifestations of nystagmus, foveal hypoplasia, and refractive errors (Table 1). Patient 7 (P7) was a 5‐year‐old boy, who presented with white skin, reddish yellow to brown hair, blue eyes (Figure 1F), increased sensitivity to light (photophobia), astigmatism, and must wear glasses. Other manifestations, including nystagmus and reduced depth perception, were observed in the patient (Table 1). In all the seven patients, hypopigmented eyes, hair and skin, and photophobia were observed. The other ophthalmological findings, including nystagmus, reduced visual acuity, strabismus, foveal hypoplasia, ecchymosis, and reduced stereopsis, were different in each patient (Table 1). Patient characteristics (+) Positive; (−) Negative; (·) Not available. In brothers of P1 (7 years old) and P2 (5 years old), the clinical manifestation included white hair and skin, and blue eyes (Figure 1A,B). The presentation of photophobia with discomfort and eye pain when exposed to light, nystagmus (increased when illness and stress), and choroidal metaplasia were detected. Myopia −14 diopters (D) and visual acuity of 1/10 were identified in P1 and P2, respectively, and the problem to perceive depth was also observed in both patients (Table 1). Additionally, the younger brother showed a history of repeated pneumonia (P2). Clinical features of six albinism cases in Vietnam (patient 6 was not present) with hypopigmentation in skin, hair (white skin and hair in P1, P2, and P5; pinkish‐white skin and light yellow hair in P3 and P4; white skin and brown hair in P7), and iris color arrange from blue (P1, P2, and P7) to brown (P3, P4, and P5) Patients 3 (P3, 27 years old) and 4 (P4, 23 years old) were the first and the second child in a family of three children. The fair skin, light blonde hair, brown eyes (Figure 1C,D), photophobia, nystagmus, amblyopia, and decreased perception of depth were observed in both patients. The younger sister (P4) presented with strabismus in her right eye (Table 1 and Figure 1D), a history of glomerulonephritis, scaly dermatitis, and subcutaneous hemorrhage. Patient 5 (P5) was a 63‐year‐old man with white skin and hair, blue eyes, and photophobia (Figure 1E). The patient had been visual acuity of 6/10 in both eyes and reduced stereopsis. Manifestations of nystagmus and foveal hypoplasia were not observed in this patient (Table 1). Patient 6 (P6) was a 26‐year‐old woman, the second child in the family. Clinical features of OCA consist of pinkish‐white skin, hair and eyebrows, light brown eyelashes, brown eyes, and manifestations of photophobia (patient's images were not provided). The patient had normal physical, mental, and motor development, with no manifestations of nystagmus, foveal hypoplasia, and refractive errors (Table 1). Patient 7 (P7) was a 5‐year‐old boy, who presented with white skin, reddish yellow to brown hair, blue eyes (Figure 1F), increased sensitivity to light (photophobia), astigmatism, and must wear glasses. Other manifestations, including nystagmus and reduced depth perception, were observed in the patient (Table 1). Genetic analysis WES data analysis revealed six candidate pathogenic variants with very rare or unknown allele frequency, including four variants in the TYR gene (NM_000372.3, #MIM:606993) (P1, P2, P3, P4, and P5), two variants in OCA2 (NM_000275.3, #MIM:611409) (P6), and HPS1 (NM_000195, #MIM:604982) (P7) genes, respectively (Table 2). Gene mutations in seven Vietnamese OCA LP† (PM2, PM3, PP1‐PP4) P† (PVS1, PM4, PP1, PP3, PP4) LP† (PM2, PM3,PP1‐PP4) Abbreviations: FS del, frameshift deletion; FS ins, frameshift insertion; het, heterozygous; hom, homozygous; HPS, Hermansky–Pudlak syndrome; LP, Likely pathogenic; nonsyn, non‐synonymous; OCA, oculocutaneous albinism; P, pathogenic; PM, pathogenic moderate; PP, pathogenic supporting; PVS, pathogenic very strong. †In current study; ‡Previously unknown zygosity; (·) Not available. A TYR compound heterozygous mutation (c.346C > T and c.929insC) that resulted in two premature termination codons (PTCs) (p.R116* and p.R311fs*7) was observed in two brothers (P1 and P2). Both mutations were reported in dbSNP (rs61753256 and rs281865527) and were known as pathogenicity in ClinVar (Table 2). Sanger sequencing confirmed that the affected individuals inherited the c.3416C > T from the father and the c.929insC from the mother (Figure 2A). In addition, genetic testing detected c.929insC heterozygous mutation from the amniotic fluid sample of the third pregnancy of the mother (Figure 2A). Two homozygous TYR variations were found in the patients P3 and his younger sister P4 (c.115 T > C, p.W39R; Figure 2B) and P5 (c.559_560ins25, p.G190fs*12; Figure 2C). In which, the c.115 T > C has been reported in the human genome mutation database (HGMD: CM100987) and was not found in dbSNP as ClinVar. This variant resulted in a substitution of conserved amino acid tryptophan by arginine (p.W39R) and was predicted as probably damaging/deleterious by SIFT, Polyphen2, and disease causing in MutationTaster. The c.559_560ins25 was not identified in any online databases (Table 2), but three carriers with OCA were reported in previous publications (PMID: 25577957, 31,196,117 and 31,077,556). Verification by directed sequencing showed that the heterozygous c.115 T > C variant was observed in the parent of P3 and P4 and did not inherit to the third child (Figure 2B). In brief, OCA1 subtype diagnosis was considered in five affected individuals with the finding of TYR mutations. Pedigree charts of two families (A and B) and electropherograms of five affected individuals and their families (except the family of P5) with TYR mutations. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides (A and B) and insertion sequence (C) were marked with red/blue arrows and red box, respectively. The other non‐syndromic OCA subtype with a molecular diagnosis of OCA2 (P6) was identified to be homozygous for OCA2 c.2323G > A (dbSNP: rs774822330), leading to a substitution of glycine to serine at codon 775 in polypeptide (p.G775S) (Table 2). This missense variant was predicted to be damaging effect on protein function by SIFT, Polyphen2, and disease causing by MutationTaster. Sequencing analysis indicated that both father and mother were heterozygous carriers for c.2323G > A (Figure 3). Pedigree chart and electropherograms of P6 family with OCA2 mutation. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides were marked with red/blue arrows Only patient 7 (P7) was classified as the subtype of syndromic albinism due to the fact that the c.972delC homozygote of the HPS1 gene was found to cause Hermansky–Pudlak syndrome. The c.972delC was pathogenic mutation and was reported in dbSNP as ClinVar (Table 2). The familial segregation was confirmed for c.972delC with the heterozygous trait in both parents by Sanger sequencing (Figure 4). Pedigree chart and electropherograms of P7 family with HPS1 mutation. Full/half black represents patient/carrier individuals. Mutated nucleotides were marked with red arrows WES data analysis revealed six candidate pathogenic variants with very rare or unknown allele frequency, including four variants in the TYR gene (NM_000372.3, #MIM:606993) (P1, P2, P3, P4, and P5), two variants in OCA2 (NM_000275.3, #MIM:611409) (P6), and HPS1 (NM_000195, #MIM:604982) (P7) genes, respectively (Table 2). Gene mutations in seven Vietnamese OCA LP† (PM2, PM3, PP1‐PP4) P† (PVS1, PM4, PP1, PP3, PP4) LP† (PM2, PM3,PP1‐PP4) Abbreviations: FS del, frameshift deletion; FS ins, frameshift insertion; het, heterozygous; hom, homozygous; HPS, Hermansky–Pudlak syndrome; LP, Likely pathogenic; nonsyn, non‐synonymous; OCA, oculocutaneous albinism; P, pathogenic; PM, pathogenic moderate; PP, pathogenic supporting; PVS, pathogenic very strong. †In current study; ‡Previously unknown zygosity; (·) Not available. A TYR compound heterozygous mutation (c.346C > T and c.929insC) that resulted in two premature termination codons (PTCs) (p.R116* and p.R311fs*7) was observed in two brothers (P1 and P2). Both mutations were reported in dbSNP (rs61753256 and rs281865527) and were known as pathogenicity in ClinVar (Table 2). Sanger sequencing confirmed that the affected individuals inherited the c.3416C > T from the father and the c.929insC from the mother (Figure 2A). In addition, genetic testing detected c.929insC heterozygous mutation from the amniotic fluid sample of the third pregnancy of the mother (Figure 2A). Two homozygous TYR variations were found in the patients P3 and his younger sister P4 (c.115 T > C, p.W39R; Figure 2B) and P5 (c.559_560ins25, p.G190fs*12; Figure 2C). In which, the c.115 T > C has been reported in the human genome mutation database (HGMD: CM100987) and was not found in dbSNP as ClinVar. This variant resulted in a substitution of conserved amino acid tryptophan by arginine (p.W39R) and was predicted as probably damaging/deleterious by SIFT, Polyphen2, and disease causing in MutationTaster. The c.559_560ins25 was not identified in any online databases (Table 2), but three carriers with OCA were reported in previous publications (PMID: 25577957, 31,196,117 and 31,077,556). Verification by directed sequencing showed that the heterozygous c.115 T > C variant was observed in the parent of P3 and P4 and did not inherit to the third child (Figure 2B). In brief, OCA1 subtype diagnosis was considered in five affected individuals with the finding of TYR mutations. Pedigree charts of two families (A and B) and electropherograms of five affected individuals and their families (except the family of P5) with TYR mutations. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides (A and B) and insertion sequence (C) were marked with red/blue arrows and red box, respectively. The other non‐syndromic OCA subtype with a molecular diagnosis of OCA2 (P6) was identified to be homozygous for OCA2 c.2323G > A (dbSNP: rs774822330), leading to a substitution of glycine to serine at codon 775 in polypeptide (p.G775S) (Table 2). This missense variant was predicted to be damaging effect on protein function by SIFT, Polyphen2, and disease causing by MutationTaster. Sequencing analysis indicated that both father and mother were heterozygous carriers for c.2323G > A (Figure 3). Pedigree chart and electropherograms of P6 family with OCA2 mutation. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides were marked with red/blue arrows Only patient 7 (P7) was classified as the subtype of syndromic albinism due to the fact that the c.972delC homozygote of the HPS1 gene was found to cause Hermansky–Pudlak syndrome. The c.972delC was pathogenic mutation and was reported in dbSNP as ClinVar (Table 2). The familial segregation was confirmed for c.972delC with the heterozygous trait in both parents by Sanger sequencing (Figure 4). Pedigree chart and electropherograms of P7 family with HPS1 mutation. Full/half black represents patient/carrier individuals. Mutated nucleotides were marked with red arrows
CONCLUSION
This is the first report on albinism‐causing genes in Vietnam, exploring the mutational spectrum relevant to this disorder. To the best of our knowledge, we also report a rare TYR mutation (c.115 T > C) with the novel zygosity being homozygous. Considering overlapped characteristics of OCA subtypes, molecular genetic analysis will substantially aid clinical diagnosis and genetic counseling of OCA.
[ "INTRODUCTION", "Subject", "Exome analysis", "Sanger validation", "Clinical features", "Genetic analysis", "AUTHOR CONTRIBUTIONS" ]
[ "Albinism is a rare genetic disorder caused by the reduction or absence of polymeric pigment melanin that affects the skin, hair, and/or eyes. Defective melanin production from tyrosine through a complex pathway of metabolic reactions leads to hypopigmentation, severe visual deficits, and finally albinism. Most patients with albinism have white hair and very light‐colored skin. Skin and hair color can range from white to brown and eyes color can range from light blue to brown. Vision impairment is a major feature of all albinism types. Several vision problems can occur, including nystagmus, iris transillumination, macular hypoplasia, strabismus, reduced visual acuity, and depth perception. There are two main albinism categories, which are classified based on the affection of skin, hair, and eyes, or only the eyes in oculocutaneous albinism (OCA) and ocular albinism (OA), respectively. In OCA, the number and structure of melanin are not significantly altered in any degree of observed pigmentation, whereas the appearance of a large number of distinct pigment cells within melanosomes is characteristic in OA. The OCA is a genetically heterogeneous and autosomal recessive disorder characterized by the hypopigmentation of skin, hair, and eyes. To date, at least seven autosomal genes have been associated with seven non‐syndromic OCA (OCA1, OCA2, OCA3, OCA4, OCA6, OCA7, and OCA8), including TYR, OCA2, TYRP1, SLC45A2, SLC24A5, C10orf11, and DCT.\n1\n, \n2\n For OCA5, the causative locus was mapped on chromosome 4q24, this is the only OCA subtype that causing genes have not been determined.\n3\n Other genes included HPS1, AP3B1, HPS3, HPS4, HPS5, HPS6, DTNBP1, BLOC1S3, BLOC1S6, AP3D1, BLOC1S5, and LYST were also involved in causing two syndromic OCA: Hermansky–Pudlak syndrome (HPS1‐11) and Chediak–Higashi syndrome (CHS).\n4\n, \n5\n, \n6\n Syndromic OCA can be more severe and associated with additional symptoms than only alteration of pigmentation and vision. The other type of albinism is ocular albinism (OA) that affected only the eyes, caused by mutation in OA1/GPR143 gene on X chromosome.\n7\n Vision acuity and photophobia of patients with OA are reduced and strabismus or nystagmus is also observed.\n1\n\n\nIn Vietnam, until now, the genetic data of albinism have remained unknown. Thereby, for the first time, genetic analysis was performed on seven Vietnamese albinism patients in our study.", "A total of seven affected individuals with OCA, including six (P1, P2, P3, P4, P6, and P7) and their parents (Figure 2–5) from four unrelated nonconsanguineous families, and a single man (P5) were recruited from Hanoi Medical University Hospital, Hanoi, Vietnam. All patients presented with typical clinical features of albinism, including various degrees of eyes, hair, and skin hypopigmentation. Written informed consents were obtained from all patients and family members before sample collection. This study was approved by the Institute of Genome Research Institutional Review Board, Vietnam Academy of Science and Technology.\nFor patients and family members, 2 ml of whole blood was collected, preserved in EDTA‐containing tubes, and stored at −20°C. Genomic DNA extraction was performed by using Exgene™ Blood SV (GeneAll Biotechnology), following the manufacturer's guidelines. Qubit™ dsDNA HS Assay Kit (Thermo Fisher Scientific) was used for DNA quantification.", "The DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation.\nThe variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG).", "The candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems).", "In all the seven patients, hypopigmented eyes, hair and skin, and photophobia were observed. The other ophthalmological findings, including nystagmus, reduced visual acuity, strabismus, foveal hypoplasia, ecchymosis, and reduced stereopsis, were different in each patient (Table 1).\nPatient characteristics\n(+) Positive; (−) Negative; (·) Not available.\nIn brothers of P1 (7 years old) and P2 (5 years old), the clinical manifestation included white hair and skin, and blue eyes (Figure 1A,B). The presentation of photophobia with discomfort and eye pain when exposed to light, nystagmus (increased when illness and stress), and choroidal metaplasia were detected. Myopia −14 diopters (D) and visual acuity of 1/10 were identified in P1 and P2, respectively, and the problem to perceive depth was also observed in both patients (Table 1). Additionally, the younger brother showed a history of repeated pneumonia (P2).\nClinical features of six albinism cases in Vietnam (patient 6 was not present) with hypopigmentation in skin, hair (white skin and hair in P1, P2, and P5; pinkish‐white skin and light yellow hair in P3 and P4; white skin and brown hair in P7), and iris color arrange from blue (P1, P2, and P7) to brown (P3, P4, and P5)\nPatients 3 (P3, 27 years old) and 4 (P4, 23 years old) were the first and the second child in a family of three children. The fair skin, light blonde hair, brown eyes (Figure 1C,D), photophobia, nystagmus, amblyopia, and decreased perception of depth were observed in both patients. The younger sister (P4) presented with strabismus in her right eye (Table 1 and Figure 1D), a history of glomerulonephritis, scaly dermatitis, and subcutaneous hemorrhage.\nPatient 5 (P5) was a 63‐year‐old man with white skin and hair, blue eyes, and photophobia (Figure 1E). The patient had been visual acuity of 6/10 in both eyes and reduced stereopsis. Manifestations of nystagmus and foveal hypoplasia were not observed in this patient (Table 1).\nPatient 6 (P6) was a 26‐year‐old woman, the second child in the family. Clinical features of OCA consist of pinkish‐white skin, hair and eyebrows, light brown eyelashes, brown eyes, and manifestations of photophobia (patient's images were not provided). The patient had normal physical, mental, and motor development, with no manifestations of nystagmus, foveal hypoplasia, and refractive errors (Table 1).\nPatient 7 (P7) was a 5‐year‐old boy, who presented with white skin, reddish yellow to brown hair, blue eyes (Figure 1F), increased sensitivity to light (photophobia), astigmatism, and must wear glasses. Other manifestations, including nystagmus and reduced depth perception, were observed in the patient (Table 1).", "WES data analysis revealed six candidate pathogenic variants with very rare or unknown allele frequency, including four variants in the TYR gene (NM_000372.3, #MIM:606993) (P1, P2, P3, P4, and P5), two variants in OCA2 (NM_000275.3, #MIM:611409) (P6), and HPS1 (NM_000195, #MIM:604982) (P7) genes, respectively (Table 2).\nGene mutations in seven Vietnamese OCA\nLP†\n(PM2, PM3, PP1‐PP4)\nP†\n(PVS1, PM4, PP1, PP3, PP4)\nLP†\n(PM2, PM3,PP1‐PP4)\nAbbreviations: FS del, frameshift deletion; FS ins, frameshift insertion; het, heterozygous; hom, homozygous; HPS, Hermansky–Pudlak syndrome; LP, Likely pathogenic; nonsyn, non‐synonymous; OCA, oculocutaneous albinism; P, pathogenic; PM, pathogenic moderate; PP, pathogenic supporting; PVS, pathogenic very strong.\n†In current study; ‡Previously unknown zygosity; (·) Not available.\nA TYR compound heterozygous mutation (c.346C > T and c.929insC) that resulted in two premature termination codons (PTCs) (p.R116* and p.R311fs*7) was observed in two brothers (P1 and P2). Both mutations were reported in dbSNP (rs61753256 and rs281865527) and were known as pathogenicity in ClinVar (Table 2). Sanger sequencing confirmed that the affected individuals inherited the c.3416C > T from the father and the c.929insC from the mother (Figure 2A). In addition, genetic testing detected c.929insC heterozygous mutation from the amniotic fluid sample of the third pregnancy of the mother (Figure 2A). Two homozygous TYR variations were found in the patients P3 and his younger sister P4 (c.115 T > C, p.W39R; Figure 2B) and P5 (c.559_560ins25, p.G190fs*12; Figure 2C). In which, the c.115 T > C has been reported in the human genome mutation database (HGMD: CM100987) and was not found in dbSNP as ClinVar. This variant resulted in a substitution of conserved amino acid tryptophan by arginine (p.W39R) and was predicted as probably damaging/deleterious by SIFT, Polyphen2, and disease causing in MutationTaster. The c.559_560ins25 was not identified in any online databases (Table 2), but three carriers with OCA were reported in previous publications (PMID: 25577957, 31,196,117 and 31,077,556). Verification by directed sequencing showed that the heterozygous c.115 T > C variant was observed in the parent of P3 and P4 and did not inherit to the third child (Figure 2B). In brief, OCA1 subtype diagnosis was considered in five affected individuals with the finding of TYR mutations.\nPedigree charts of two families (A and B) and electropherograms of five affected individuals and their families (except the family of P5) with TYR mutations. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides (A and B) and insertion sequence (C) were marked with red/blue arrows and red box, respectively.\nThe other non‐syndromic OCA subtype with a molecular diagnosis of OCA2 (P6) was identified to be homozygous for OCA2 c.2323G > A (dbSNP: rs774822330), leading to a substitution of glycine to serine at codon 775 in polypeptide (p.G775S) (Table 2). This missense variant was predicted to be damaging effect on protein function by SIFT, Polyphen2, and disease causing by MutationTaster. Sequencing analysis indicated that both father and mother were heterozygous carriers for c.2323G > A (Figure 3).\nPedigree chart and electropherograms of P6 family with OCA2 mutation. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides were marked with red/blue arrows\nOnly patient 7 (P7) was classified as the subtype of syndromic albinism due to the fact that the c.972delC homozygote of the HPS1 gene was found to cause Hermansky–Pudlak syndrome. The c.972delC was pathogenic mutation and was reported in dbSNP as ClinVar (Table 2). The familial segregation was confirmed for c.972delC with the heterozygous trait in both parents by Sanger sequencing (Figure 4).\nPedigree chart and electropherograms of P7 family with HPS1 mutation. Full/half black represents patient/carrier individuals. Mutated nucleotides were marked with red arrows", "Conceptualization: NDT, NVH; Funding acquisition: NDT; Data curation, Formal analysis, and Investigation: MTHT, VPN, NHH, TTBN, HTL, LTLA; Roles/Writing ‐ original draft: MTHT, NDT; Writing ‐ review & editing: MTHT, NHH, NDT, NVH." ]
[ null, null, null, null, null, null, null ]
[ "INTRODUCTION", "MATERIAL AND METHOD", "Subject", "Method", "Exome analysis", "Sanger validation", "RESULT", "Clinical features", "Genetic analysis", "DISCUSSION", "CONCLUSION", "AUTHOR CONTRIBUTIONS", "CONFLICT OF INTEREST" ]
[ "Albinism is a rare genetic disorder caused by the reduction or absence of polymeric pigment melanin that affects the skin, hair, and/or eyes. Defective melanin production from tyrosine through a complex pathway of metabolic reactions leads to hypopigmentation, severe visual deficits, and finally albinism. Most patients with albinism have white hair and very light‐colored skin. Skin and hair color can range from white to brown and eyes color can range from light blue to brown. Vision impairment is a major feature of all albinism types. Several vision problems can occur, including nystagmus, iris transillumination, macular hypoplasia, strabismus, reduced visual acuity, and depth perception. There are two main albinism categories, which are classified based on the affection of skin, hair, and eyes, or only the eyes in oculocutaneous albinism (OCA) and ocular albinism (OA), respectively. In OCA, the number and structure of melanin are not significantly altered in any degree of observed pigmentation, whereas the appearance of a large number of distinct pigment cells within melanosomes is characteristic in OA. The OCA is a genetically heterogeneous and autosomal recessive disorder characterized by the hypopigmentation of skin, hair, and eyes. To date, at least seven autosomal genes have been associated with seven non‐syndromic OCA (OCA1, OCA2, OCA3, OCA4, OCA6, OCA7, and OCA8), including TYR, OCA2, TYRP1, SLC45A2, SLC24A5, C10orf11, and DCT.\n1\n, \n2\n For OCA5, the causative locus was mapped on chromosome 4q24, this is the only OCA subtype that causing genes have not been determined.\n3\n Other genes included HPS1, AP3B1, HPS3, HPS4, HPS5, HPS6, DTNBP1, BLOC1S3, BLOC1S6, AP3D1, BLOC1S5, and LYST were also involved in causing two syndromic OCA: Hermansky–Pudlak syndrome (HPS1‐11) and Chediak–Higashi syndrome (CHS).\n4\n, \n5\n, \n6\n Syndromic OCA can be more severe and associated with additional symptoms than only alteration of pigmentation and vision. The other type of albinism is ocular albinism (OA) that affected only the eyes, caused by mutation in OA1/GPR143 gene on X chromosome.\n7\n Vision acuity and photophobia of patients with OA are reduced and strabismus or nystagmus is also observed.\n1\n\n\nIn Vietnam, until now, the genetic data of albinism have remained unknown. Thereby, for the first time, genetic analysis was performed on seven Vietnamese albinism patients in our study.", "Subject A total of seven affected individuals with OCA, including six (P1, P2, P3, P4, P6, and P7) and their parents (Figure 2–5) from four unrelated nonconsanguineous families, and a single man (P5) were recruited from Hanoi Medical University Hospital, Hanoi, Vietnam. All patients presented with typical clinical features of albinism, including various degrees of eyes, hair, and skin hypopigmentation. Written informed consents were obtained from all patients and family members before sample collection. This study was approved by the Institute of Genome Research Institutional Review Board, Vietnam Academy of Science and Technology.\nFor patients and family members, 2 ml of whole blood was collected, preserved in EDTA‐containing tubes, and stored at −20°C. Genomic DNA extraction was performed by using Exgene™ Blood SV (GeneAll Biotechnology), following the manufacturer's guidelines. Qubit™ dsDNA HS Assay Kit (Thermo Fisher Scientific) was used for DNA quantification.\nA total of seven affected individuals with OCA, including six (P1, P2, P3, P4, P6, and P7) and their parents (Figure 2–5) from four unrelated nonconsanguineous families, and a single man (P5) were recruited from Hanoi Medical University Hospital, Hanoi, Vietnam. All patients presented with typical clinical features of albinism, including various degrees of eyes, hair, and skin hypopigmentation. Written informed consents were obtained from all patients and family members before sample collection. This study was approved by the Institute of Genome Research Institutional Review Board, Vietnam Academy of Science and Technology.\nFor patients and family members, 2 ml of whole blood was collected, preserved in EDTA‐containing tubes, and stored at −20°C. Genomic DNA extraction was performed by using Exgene™ Blood SV (GeneAll Biotechnology), following the manufacturer's guidelines. Qubit™ dsDNA HS Assay Kit (Thermo Fisher Scientific) was used for DNA quantification.\nMethod Exome analysis The DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation.\nThe variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG).\nThe DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation.\nThe variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG).\nSanger validation The candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems).\nThe candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems).\nExome analysis The DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation.\nThe variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG).\nThe DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation.\nThe variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG).\nSanger validation The candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems).\nThe candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems).", "A total of seven affected individuals with OCA, including six (P1, P2, P3, P4, P6, and P7) and their parents (Figure 2–5) from four unrelated nonconsanguineous families, and a single man (P5) were recruited from Hanoi Medical University Hospital, Hanoi, Vietnam. All patients presented with typical clinical features of albinism, including various degrees of eyes, hair, and skin hypopigmentation. Written informed consents were obtained from all patients and family members before sample collection. This study was approved by the Institute of Genome Research Institutional Review Board, Vietnam Academy of Science and Technology.\nFor patients and family members, 2 ml of whole blood was collected, preserved in EDTA‐containing tubes, and stored at −20°C. Genomic DNA extraction was performed by using Exgene™ Blood SV (GeneAll Biotechnology), following the manufacturer's guidelines. Qubit™ dsDNA HS Assay Kit (Thermo Fisher Scientific) was used for DNA quantification.", "Exome analysis The DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation.\nThe variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG).\nThe DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation.\nThe variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG).\nSanger validation The candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems).\nThe candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems).", "The DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation.\nThe variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG).", "The candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems).", "Clinical features In all the seven patients, hypopigmented eyes, hair and skin, and photophobia were observed. The other ophthalmological findings, including nystagmus, reduced visual acuity, strabismus, foveal hypoplasia, ecchymosis, and reduced stereopsis, were different in each patient (Table 1).\nPatient characteristics\n(+) Positive; (−) Negative; (·) Not available.\nIn brothers of P1 (7 years old) and P2 (5 years old), the clinical manifestation included white hair and skin, and blue eyes (Figure 1A,B). The presentation of photophobia with discomfort and eye pain when exposed to light, nystagmus (increased when illness and stress), and choroidal metaplasia were detected. Myopia −14 diopters (D) and visual acuity of 1/10 were identified in P1 and P2, respectively, and the problem to perceive depth was also observed in both patients (Table 1). Additionally, the younger brother showed a history of repeated pneumonia (P2).\nClinical features of six albinism cases in Vietnam (patient 6 was not present) with hypopigmentation in skin, hair (white skin and hair in P1, P2, and P5; pinkish‐white skin and light yellow hair in P3 and P4; white skin and brown hair in P7), and iris color arrange from blue (P1, P2, and P7) to brown (P3, P4, and P5)\nPatients 3 (P3, 27 years old) and 4 (P4, 23 years old) were the first and the second child in a family of three children. The fair skin, light blonde hair, brown eyes (Figure 1C,D), photophobia, nystagmus, amblyopia, and decreased perception of depth were observed in both patients. The younger sister (P4) presented with strabismus in her right eye (Table 1 and Figure 1D), a history of glomerulonephritis, scaly dermatitis, and subcutaneous hemorrhage.\nPatient 5 (P5) was a 63‐year‐old man with white skin and hair, blue eyes, and photophobia (Figure 1E). The patient had been visual acuity of 6/10 in both eyes and reduced stereopsis. Manifestations of nystagmus and foveal hypoplasia were not observed in this patient (Table 1).\nPatient 6 (P6) was a 26‐year‐old woman, the second child in the family. Clinical features of OCA consist of pinkish‐white skin, hair and eyebrows, light brown eyelashes, brown eyes, and manifestations of photophobia (patient's images were not provided). The patient had normal physical, mental, and motor development, with no manifestations of nystagmus, foveal hypoplasia, and refractive errors (Table 1).\nPatient 7 (P7) was a 5‐year‐old boy, who presented with white skin, reddish yellow to brown hair, blue eyes (Figure 1F), increased sensitivity to light (photophobia), astigmatism, and must wear glasses. Other manifestations, including nystagmus and reduced depth perception, were observed in the patient (Table 1).\nIn all the seven patients, hypopigmented eyes, hair and skin, and photophobia were observed. The other ophthalmological findings, including nystagmus, reduced visual acuity, strabismus, foveal hypoplasia, ecchymosis, and reduced stereopsis, were different in each patient (Table 1).\nPatient characteristics\n(+) Positive; (−) Negative; (·) Not available.\nIn brothers of P1 (7 years old) and P2 (5 years old), the clinical manifestation included white hair and skin, and blue eyes (Figure 1A,B). The presentation of photophobia with discomfort and eye pain when exposed to light, nystagmus (increased when illness and stress), and choroidal metaplasia were detected. Myopia −14 diopters (D) and visual acuity of 1/10 were identified in P1 and P2, respectively, and the problem to perceive depth was also observed in both patients (Table 1). Additionally, the younger brother showed a history of repeated pneumonia (P2).\nClinical features of six albinism cases in Vietnam (patient 6 was not present) with hypopigmentation in skin, hair (white skin and hair in P1, P2, and P5; pinkish‐white skin and light yellow hair in P3 and P4; white skin and brown hair in P7), and iris color arrange from blue (P1, P2, and P7) to brown (P3, P4, and P5)\nPatients 3 (P3, 27 years old) and 4 (P4, 23 years old) were the first and the second child in a family of three children. The fair skin, light blonde hair, brown eyes (Figure 1C,D), photophobia, nystagmus, amblyopia, and decreased perception of depth were observed in both patients. The younger sister (P4) presented with strabismus in her right eye (Table 1 and Figure 1D), a history of glomerulonephritis, scaly dermatitis, and subcutaneous hemorrhage.\nPatient 5 (P5) was a 63‐year‐old man with white skin and hair, blue eyes, and photophobia (Figure 1E). The patient had been visual acuity of 6/10 in both eyes and reduced stereopsis. Manifestations of nystagmus and foveal hypoplasia were not observed in this patient (Table 1).\nPatient 6 (P6) was a 26‐year‐old woman, the second child in the family. Clinical features of OCA consist of pinkish‐white skin, hair and eyebrows, light brown eyelashes, brown eyes, and manifestations of photophobia (patient's images were not provided). The patient had normal physical, mental, and motor development, with no manifestations of nystagmus, foveal hypoplasia, and refractive errors (Table 1).\nPatient 7 (P7) was a 5‐year‐old boy, who presented with white skin, reddish yellow to brown hair, blue eyes (Figure 1F), increased sensitivity to light (photophobia), astigmatism, and must wear glasses. Other manifestations, including nystagmus and reduced depth perception, were observed in the patient (Table 1).\nGenetic analysis WES data analysis revealed six candidate pathogenic variants with very rare or unknown allele frequency, including four variants in the TYR gene (NM_000372.3, #MIM:606993) (P1, P2, P3, P4, and P5), two variants in OCA2 (NM_000275.3, #MIM:611409) (P6), and HPS1 (NM_000195, #MIM:604982) (P7) genes, respectively (Table 2).\nGene mutations in seven Vietnamese OCA\nLP†\n(PM2, PM3, PP1‐PP4)\nP†\n(PVS1, PM4, PP1, PP3, PP4)\nLP†\n(PM2, PM3,PP1‐PP4)\nAbbreviations: FS del, frameshift deletion; FS ins, frameshift insertion; het, heterozygous; hom, homozygous; HPS, Hermansky–Pudlak syndrome; LP, Likely pathogenic; nonsyn, non‐synonymous; OCA, oculocutaneous albinism; P, pathogenic; PM, pathogenic moderate; PP, pathogenic supporting; PVS, pathogenic very strong.\n†In current study; ‡Previously unknown zygosity; (·) Not available.\nA TYR compound heterozygous mutation (c.346C > T and c.929insC) that resulted in two premature termination codons (PTCs) (p.R116* and p.R311fs*7) was observed in two brothers (P1 and P2). Both mutations were reported in dbSNP (rs61753256 and rs281865527) and were known as pathogenicity in ClinVar (Table 2). Sanger sequencing confirmed that the affected individuals inherited the c.3416C > T from the father and the c.929insC from the mother (Figure 2A). In addition, genetic testing detected c.929insC heterozygous mutation from the amniotic fluid sample of the third pregnancy of the mother (Figure 2A). Two homozygous TYR variations were found in the patients P3 and his younger sister P4 (c.115 T > C, p.W39R; Figure 2B) and P5 (c.559_560ins25, p.G190fs*12; Figure 2C). In which, the c.115 T > C has been reported in the human genome mutation database (HGMD: CM100987) and was not found in dbSNP as ClinVar. This variant resulted in a substitution of conserved amino acid tryptophan by arginine (p.W39R) and was predicted as probably damaging/deleterious by SIFT, Polyphen2, and disease causing in MutationTaster. The c.559_560ins25 was not identified in any online databases (Table 2), but three carriers with OCA were reported in previous publications (PMID: 25577957, 31,196,117 and 31,077,556). Verification by directed sequencing showed that the heterozygous c.115 T > C variant was observed in the parent of P3 and P4 and did not inherit to the third child (Figure 2B). In brief, OCA1 subtype diagnosis was considered in five affected individuals with the finding of TYR mutations.\nPedigree charts of two families (A and B) and electropherograms of five affected individuals and their families (except the family of P5) with TYR mutations. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides (A and B) and insertion sequence (C) were marked with red/blue arrows and red box, respectively.\nThe other non‐syndromic OCA subtype with a molecular diagnosis of OCA2 (P6) was identified to be homozygous for OCA2 c.2323G > A (dbSNP: rs774822330), leading to a substitution of glycine to serine at codon 775 in polypeptide (p.G775S) (Table 2). This missense variant was predicted to be damaging effect on protein function by SIFT, Polyphen2, and disease causing by MutationTaster. Sequencing analysis indicated that both father and mother were heterozygous carriers for c.2323G > A (Figure 3).\nPedigree chart and electropherograms of P6 family with OCA2 mutation. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides were marked with red/blue arrows\nOnly patient 7 (P7) was classified as the subtype of syndromic albinism due to the fact that the c.972delC homozygote of the HPS1 gene was found to cause Hermansky–Pudlak syndrome. The c.972delC was pathogenic mutation and was reported in dbSNP as ClinVar (Table 2). The familial segregation was confirmed for c.972delC with the heterozygous trait in both parents by Sanger sequencing (Figure 4).\nPedigree chart and electropherograms of P7 family with HPS1 mutation. Full/half black represents patient/carrier individuals. Mutated nucleotides were marked with red arrows\nWES data analysis revealed six candidate pathogenic variants with very rare or unknown allele frequency, including four variants in the TYR gene (NM_000372.3, #MIM:606993) (P1, P2, P3, P4, and P5), two variants in OCA2 (NM_000275.3, #MIM:611409) (P6), and HPS1 (NM_000195, #MIM:604982) (P7) genes, respectively (Table 2).\nGene mutations in seven Vietnamese OCA\nLP†\n(PM2, PM3, PP1‐PP4)\nP†\n(PVS1, PM4, PP1, PP3, PP4)\nLP†\n(PM2, PM3,PP1‐PP4)\nAbbreviations: FS del, frameshift deletion; FS ins, frameshift insertion; het, heterozygous; hom, homozygous; HPS, Hermansky–Pudlak syndrome; LP, Likely pathogenic; nonsyn, non‐synonymous; OCA, oculocutaneous albinism; P, pathogenic; PM, pathogenic moderate; PP, pathogenic supporting; PVS, pathogenic very strong.\n†In current study; ‡Previously unknown zygosity; (·) Not available.\nA TYR compound heterozygous mutation (c.346C > T and c.929insC) that resulted in two premature termination codons (PTCs) (p.R116* and p.R311fs*7) was observed in two brothers (P1 and P2). Both mutations were reported in dbSNP (rs61753256 and rs281865527) and were known as pathogenicity in ClinVar (Table 2). Sanger sequencing confirmed that the affected individuals inherited the c.3416C > T from the father and the c.929insC from the mother (Figure 2A). In addition, genetic testing detected c.929insC heterozygous mutation from the amniotic fluid sample of the third pregnancy of the mother (Figure 2A). Two homozygous TYR variations were found in the patients P3 and his younger sister P4 (c.115 T > C, p.W39R; Figure 2B) and P5 (c.559_560ins25, p.G190fs*12; Figure 2C). In which, the c.115 T > C has been reported in the human genome mutation database (HGMD: CM100987) and was not found in dbSNP as ClinVar. This variant resulted in a substitution of conserved amino acid tryptophan by arginine (p.W39R) and was predicted as probably damaging/deleterious by SIFT, Polyphen2, and disease causing in MutationTaster. The c.559_560ins25 was not identified in any online databases (Table 2), but three carriers with OCA were reported in previous publications (PMID: 25577957, 31,196,117 and 31,077,556). Verification by directed sequencing showed that the heterozygous c.115 T > C variant was observed in the parent of P3 and P4 and did not inherit to the third child (Figure 2B). In brief, OCA1 subtype diagnosis was considered in five affected individuals with the finding of TYR mutations.\nPedigree charts of two families (A and B) and electropherograms of five affected individuals and their families (except the family of P5) with TYR mutations. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides (A and B) and insertion sequence (C) were marked with red/blue arrows and red box, respectively.\nThe other non‐syndromic OCA subtype with a molecular diagnosis of OCA2 (P6) was identified to be homozygous for OCA2 c.2323G > A (dbSNP: rs774822330), leading to a substitution of glycine to serine at codon 775 in polypeptide (p.G775S) (Table 2). This missense variant was predicted to be damaging effect on protein function by SIFT, Polyphen2, and disease causing by MutationTaster. Sequencing analysis indicated that both father and mother were heterozygous carriers for c.2323G > A (Figure 3).\nPedigree chart and electropherograms of P6 family with OCA2 mutation. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides were marked with red/blue arrows\nOnly patient 7 (P7) was classified as the subtype of syndromic albinism due to the fact that the c.972delC homozygote of the HPS1 gene was found to cause Hermansky–Pudlak syndrome. The c.972delC was pathogenic mutation and was reported in dbSNP as ClinVar (Table 2). The familial segregation was confirmed for c.972delC with the heterozygous trait in both parents by Sanger sequencing (Figure 4).\nPedigree chart and electropherograms of P7 family with HPS1 mutation. Full/half black represents patient/carrier individuals. Mutated nucleotides were marked with red arrows", "In all the seven patients, hypopigmented eyes, hair and skin, and photophobia were observed. The other ophthalmological findings, including nystagmus, reduced visual acuity, strabismus, foveal hypoplasia, ecchymosis, and reduced stereopsis, were different in each patient (Table 1).\nPatient characteristics\n(+) Positive; (−) Negative; (·) Not available.\nIn brothers of P1 (7 years old) and P2 (5 years old), the clinical manifestation included white hair and skin, and blue eyes (Figure 1A,B). The presentation of photophobia with discomfort and eye pain when exposed to light, nystagmus (increased when illness and stress), and choroidal metaplasia were detected. Myopia −14 diopters (D) and visual acuity of 1/10 were identified in P1 and P2, respectively, and the problem to perceive depth was also observed in both patients (Table 1). Additionally, the younger brother showed a history of repeated pneumonia (P2).\nClinical features of six albinism cases in Vietnam (patient 6 was not present) with hypopigmentation in skin, hair (white skin and hair in P1, P2, and P5; pinkish‐white skin and light yellow hair in P3 and P4; white skin and brown hair in P7), and iris color arrange from blue (P1, P2, and P7) to brown (P3, P4, and P5)\nPatients 3 (P3, 27 years old) and 4 (P4, 23 years old) were the first and the second child in a family of three children. The fair skin, light blonde hair, brown eyes (Figure 1C,D), photophobia, nystagmus, amblyopia, and decreased perception of depth were observed in both patients. The younger sister (P4) presented with strabismus in her right eye (Table 1 and Figure 1D), a history of glomerulonephritis, scaly dermatitis, and subcutaneous hemorrhage.\nPatient 5 (P5) was a 63‐year‐old man with white skin and hair, blue eyes, and photophobia (Figure 1E). The patient had been visual acuity of 6/10 in both eyes and reduced stereopsis. Manifestations of nystagmus and foveal hypoplasia were not observed in this patient (Table 1).\nPatient 6 (P6) was a 26‐year‐old woman, the second child in the family. Clinical features of OCA consist of pinkish‐white skin, hair and eyebrows, light brown eyelashes, brown eyes, and manifestations of photophobia (patient's images were not provided). The patient had normal physical, mental, and motor development, with no manifestations of nystagmus, foveal hypoplasia, and refractive errors (Table 1).\nPatient 7 (P7) was a 5‐year‐old boy, who presented with white skin, reddish yellow to brown hair, blue eyes (Figure 1F), increased sensitivity to light (photophobia), astigmatism, and must wear glasses. Other manifestations, including nystagmus and reduced depth perception, were observed in the patient (Table 1).", "WES data analysis revealed six candidate pathogenic variants with very rare or unknown allele frequency, including four variants in the TYR gene (NM_000372.3, #MIM:606993) (P1, P2, P3, P4, and P5), two variants in OCA2 (NM_000275.3, #MIM:611409) (P6), and HPS1 (NM_000195, #MIM:604982) (P7) genes, respectively (Table 2).\nGene mutations in seven Vietnamese OCA\nLP†\n(PM2, PM3, PP1‐PP4)\nP†\n(PVS1, PM4, PP1, PP3, PP4)\nLP†\n(PM2, PM3,PP1‐PP4)\nAbbreviations: FS del, frameshift deletion; FS ins, frameshift insertion; het, heterozygous; hom, homozygous; HPS, Hermansky–Pudlak syndrome; LP, Likely pathogenic; nonsyn, non‐synonymous; OCA, oculocutaneous albinism; P, pathogenic; PM, pathogenic moderate; PP, pathogenic supporting; PVS, pathogenic very strong.\n†In current study; ‡Previously unknown zygosity; (·) Not available.\nA TYR compound heterozygous mutation (c.346C > T and c.929insC) that resulted in two premature termination codons (PTCs) (p.R116* and p.R311fs*7) was observed in two brothers (P1 and P2). Both mutations were reported in dbSNP (rs61753256 and rs281865527) and were known as pathogenicity in ClinVar (Table 2). Sanger sequencing confirmed that the affected individuals inherited the c.3416C > T from the father and the c.929insC from the mother (Figure 2A). In addition, genetic testing detected c.929insC heterozygous mutation from the amniotic fluid sample of the third pregnancy of the mother (Figure 2A). Two homozygous TYR variations were found in the patients P3 and his younger sister P4 (c.115 T > C, p.W39R; Figure 2B) and P5 (c.559_560ins25, p.G190fs*12; Figure 2C). In which, the c.115 T > C has been reported in the human genome mutation database (HGMD: CM100987) and was not found in dbSNP as ClinVar. This variant resulted in a substitution of conserved amino acid tryptophan by arginine (p.W39R) and was predicted as probably damaging/deleterious by SIFT, Polyphen2, and disease causing in MutationTaster. The c.559_560ins25 was not identified in any online databases (Table 2), but three carriers with OCA were reported in previous publications (PMID: 25577957, 31,196,117 and 31,077,556). Verification by directed sequencing showed that the heterozygous c.115 T > C variant was observed in the parent of P3 and P4 and did not inherit to the third child (Figure 2B). In brief, OCA1 subtype diagnosis was considered in five affected individuals with the finding of TYR mutations.\nPedigree charts of two families (A and B) and electropherograms of five affected individuals and their families (except the family of P5) with TYR mutations. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides (A and B) and insertion sequence (C) were marked with red/blue arrows and red box, respectively.\nThe other non‐syndromic OCA subtype with a molecular diagnosis of OCA2 (P6) was identified to be homozygous for OCA2 c.2323G > A (dbSNP: rs774822330), leading to a substitution of glycine to serine at codon 775 in polypeptide (p.G775S) (Table 2). This missense variant was predicted to be damaging effect on protein function by SIFT, Polyphen2, and disease causing by MutationTaster. Sequencing analysis indicated that both father and mother were heterozygous carriers for c.2323G > A (Figure 3).\nPedigree chart and electropherograms of P6 family with OCA2 mutation. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides were marked with red/blue arrows\nOnly patient 7 (P7) was classified as the subtype of syndromic albinism due to the fact that the c.972delC homozygote of the HPS1 gene was found to cause Hermansky–Pudlak syndrome. The c.972delC was pathogenic mutation and was reported in dbSNP as ClinVar (Table 2). The familial segregation was confirmed for c.972delC with the heterozygous trait in both parents by Sanger sequencing (Figure 4).\nPedigree chart and electropherograms of P7 family with HPS1 mutation. Full/half black represents patient/carrier individuals. Mutated nucleotides were marked with red arrows", "In this study, the molecular diagnosis for seven affected individuals with albinism was provided, including identified mutations in TYR, OCA2, and HPS1 genes associated with OCA subtype 1 (P1, P2, P3, P4, and P5), subtype 2 (P6), and Hermansky–Pudlak syndrome (HPS) (P7), respectively. OCA1 and OCA2 were the common subtypes of non‐syndromic OCA, while HPS was the rare syndromic OCA.\nThe TYR mutations causing to OCA1 included compound heterozygote (c.346C > T and c.929insC), two homozygous of c.115 T > C (p.W39R), and c.559ins25 (p.G190Cfs*12), which were observed in two siblings (P1, P2, and P3, P4) and the elderly patient (P5), respectively. There were two subtypes of OCA1 (OCA1A and OCA1B), of which OCA1A was produced by null mutations that resulted in absence or inactive tyrosinase. In OCA1B, the activity of tyrosinase was reduced compared with normal form, caused by leaky mutations, allowing some accumulation of melanin pigment over time.\n8\n, \n9\n Therefore, genetic testing would be considered as the important investigation for the accurate diagnosis of OCA1 subtypes.\nIn five OCA1 cases of our study, three patients (P1, P2, and P5) were classified as OCA1A, carrying PTC mutations (p.R116*; p.R311fs*7; and p.G190Cfs*12) in both alleles, leading to a complete loss of tyrosine function, thereby not producing melanin in the melanocytes. These mutations were known, in which the c.346C > T (p.R116*) had been reported previously in Chinese and Caucasian patients\n10\n, \n11\n, \n12\n and the c.929insC mutation (p.R311fs*7) was quite common ones in the Chinese\n12\n, \n13\n, \n14\n, \n15\n and some other East Asian countries such as Japan and Korea with OCA1.\n16\n, \n17\n, \n18\n Particular, the c.559_560ins25 (p.G190Cfs*12) was a relatively rare mutation. To the best of our knowledge, P5 was the fourth case carrying this mutation and was the first finding case outside the Chinese.\n11\n, \n15\n, \n19\n Moreover, genetic counseling was performed in the third pregnancy of the mother's P1 and P2, and the baby showed no signs of OCA after birth. This confirms that prenatal genetic screening in risk couples was effective and possible for this disorder.\nThe P3 and P4 were classified as OCA1B, both carried a homozygous mutation c.115 T > C (p.W39R), leading to decreased tyrosine activity and subsequently reduce melanin creation. This mutation was just reported in a Chinese male patient in a heterozygous state, who was initially diagnosed with OCA2 based on clinical features. However, upon genetic analysis, he was classified as OCA1B with compound heterozygous for c.115 T > C (p.W39R) and c.1265G > A (p.R422Q) of the TYR gene.\n14\n Thus, molecular screening has played an important role in the accurate diagnosis of the albinism subtype. In our study, the TYR c.115 T > C (p.W39R) was the first observed in a homozygous state, finding in two patients of P3 and P4. In addition, not only the substitution at nucleotide 115 (c.115 T > C, p.W39R) but two others at position 116 (c.116G > A, p.W39*) and 117 (c.117G > T, p.W39C) were also reported to functionally affect codon 39 in the polypeptide, all implicated in OCA1B.\n14\n, \n20\n For these reasons, the TYR c.115 T > C has been classified as “likely pathogenic” following the ACMG criteria (Table 2).\nAn OCA2 case detected in this study was patient P6, carrying the OCA2 homozygous variant c.2323G > A (p.G775S). This variant was previously found with homozygous in a Vietnamese patient, but the authors assumed that this substitution had no harmful consequence on protein. Preising et al. explained that, when conducting in silico analysis using SIFT and Polyphen‐2, the results were contradictory, so c.2323G > A (p.G775S) was not considered to be the causative agent of the disease. Instead of the c.2323G > A (p.G775S), the homozygous c.1113 T > C (p.G371=) was reported as the causative mutation in the study of Preising et al., according to novel splice donor site prediction by Splice Sequence Finder Server.\n21\n However, until now, c.1113 T > C (p.G371=) has been reported as a benign variant on the ClinVar database (VCV000193573.7). On the other hand, in current work, in silico prediction by SIFT and Polyphen‐2, both showed the c.2323G > A (p.G775S) to be potentially damaging the encoded protein. In addition, at codon position 775 exist, two other alterations previously found in OCA2 patients including c.2323G > C (p.G775R)\n22\n and c.2324G > A (p. G775D).\n23\n The glycin at c.775 was highly conserved and located within the transmembrane 11 region in total of 12 domains on P polypeptide, encoded by the OCA2 gene. Therefore, the substitutions of G775 may possibly inhibit the folding of P‐protein and lead to harmful consequences. Based on these suggestions, we predict that c.2323G > A (p.G775S) could be considered a “likely pathogenic” variant according to ACMG classification (Table 2) and should be functionally demonstrated in further studies.\nPatient 7 was the only syndromic OCA case associated with Hermansky–Pudlak syndrome (HPS) caused by homozygous frameshift HPS1 c.972delC mutation, making to the appearance of PTC on the polypeptide chain (p.M325fs*6), which was previously reported in causing of failure to the formation or resulting in a protein loss of function after translation.\n24\n The HPS1 loss of function was established as a known mechanism of disease in autosomal recessive HPS.\n1\n In fact, nucleotide C at position 972 was identified as a mutation “hotspot” of the HPS1 gene.\n10\n The p.M325fs*6 was the co‐product of the insertion (c.972insC) or deletion (c.972delC) at position 972 on the nucleotide sequence, which has been known to be the most common mutation in the European HPS patients.\n25\n Therein, c.972delC was observed in some Puerto Rican,\n26\n Mexican,\n27\n Chinese\n28\n and African American\n29\n patients. The c.972insC was found mainly in Puerto Rican\n25\n and some Japanese patients.\n30\n In HPS, the classic clinical features included OCA, a prolonged bleeding due to storage pool‐deficient platelets, and development of granulomatous, pulmonary fibrosis, or neutropenia in some cases.\n1\n However, apart from the main OCA findings, the other features specialty of HPS was not identified in P3. For this reason, molecular tests could be needed for the specific classification of albinism subtypes.", "This is the first report on albinism‐causing genes in Vietnam, exploring the mutational spectrum relevant to this disorder. To the best of our knowledge, we also report a rare TYR mutation (c.115 T > C) with the novel zygosity being homozygous. Considering overlapped characteristics of OCA subtypes, molecular genetic analysis will substantially aid clinical diagnosis and genetic counseling of OCA.", "Conceptualization: NDT, NVH; Funding acquisition: NDT; Data curation, Formal analysis, and Investigation: MTHT, VPN, NHH, TTBN, HTL, LTLA; Roles/Writing ‐ original draft: MTHT, NDT; Writing ‐ review & editing: MTHT, NHH, NDT, NVH.", "All authors declare that they have no conflict of interest." ]
[ null, "materials-and-methods", null, "methods", null, null, "results", null, null, "discussion", "conclusions", null, "COI-statement" ]
[ "\nHPS1\n", "\nOCA2\n", "oculocutaneous albinism", "\nTYR\n", "vietnamese", "WES" ]
INTRODUCTION: Albinism is a rare genetic disorder caused by the reduction or absence of polymeric pigment melanin that affects the skin, hair, and/or eyes. Defective melanin production from tyrosine through a complex pathway of metabolic reactions leads to hypopigmentation, severe visual deficits, and finally albinism. Most patients with albinism have white hair and very light‐colored skin. Skin and hair color can range from white to brown and eyes color can range from light blue to brown. Vision impairment is a major feature of all albinism types. Several vision problems can occur, including nystagmus, iris transillumination, macular hypoplasia, strabismus, reduced visual acuity, and depth perception. There are two main albinism categories, which are classified based on the affection of skin, hair, and eyes, or only the eyes in oculocutaneous albinism (OCA) and ocular albinism (OA), respectively. In OCA, the number and structure of melanin are not significantly altered in any degree of observed pigmentation, whereas the appearance of a large number of distinct pigment cells within melanosomes is characteristic in OA. The OCA is a genetically heterogeneous and autosomal recessive disorder characterized by the hypopigmentation of skin, hair, and eyes. To date, at least seven autosomal genes have been associated with seven non‐syndromic OCA (OCA1, OCA2, OCA3, OCA4, OCA6, OCA7, and OCA8), including TYR, OCA2, TYRP1, SLC45A2, SLC24A5, C10orf11, and DCT. 1 , 2 For OCA5, the causative locus was mapped on chromosome 4q24, this is the only OCA subtype that causing genes have not been determined. 3 Other genes included HPS1, AP3B1, HPS3, HPS4, HPS5, HPS6, DTNBP1, BLOC1S3, BLOC1S6, AP3D1, BLOC1S5, and LYST were also involved in causing two syndromic OCA: Hermansky–Pudlak syndrome (HPS1‐11) and Chediak–Higashi syndrome (CHS). 4 , 5 , 6 Syndromic OCA can be more severe and associated with additional symptoms than only alteration of pigmentation and vision. The other type of albinism is ocular albinism (OA) that affected only the eyes, caused by mutation in OA1/GPR143 gene on X chromosome. 7 Vision acuity and photophobia of patients with OA are reduced and strabismus or nystagmus is also observed. 1 In Vietnam, until now, the genetic data of albinism have remained unknown. Thereby, for the first time, genetic analysis was performed on seven Vietnamese albinism patients in our study. MATERIAL AND METHOD: Subject A total of seven affected individuals with OCA, including six (P1, P2, P3, P4, P6, and P7) and their parents (Figure 2–5) from four unrelated nonconsanguineous families, and a single man (P5) were recruited from Hanoi Medical University Hospital, Hanoi, Vietnam. All patients presented with typical clinical features of albinism, including various degrees of eyes, hair, and skin hypopigmentation. Written informed consents were obtained from all patients and family members before sample collection. This study was approved by the Institute of Genome Research Institutional Review Board, Vietnam Academy of Science and Technology. For patients and family members, 2 ml of whole blood was collected, preserved in EDTA‐containing tubes, and stored at −20°C. Genomic DNA extraction was performed by using Exgene™ Blood SV (GeneAll Biotechnology), following the manufacturer's guidelines. Qubit™ dsDNA HS Assay Kit (Thermo Fisher Scientific) was used for DNA quantification. A total of seven affected individuals with OCA, including six (P1, P2, P3, P4, P6, and P7) and their parents (Figure 2–5) from four unrelated nonconsanguineous families, and a single man (P5) were recruited from Hanoi Medical University Hospital, Hanoi, Vietnam. All patients presented with typical clinical features of albinism, including various degrees of eyes, hair, and skin hypopigmentation. Written informed consents were obtained from all patients and family members before sample collection. This study was approved by the Institute of Genome Research Institutional Review Board, Vietnam Academy of Science and Technology. For patients and family members, 2 ml of whole blood was collected, preserved in EDTA‐containing tubes, and stored at −20°C. Genomic DNA extraction was performed by using Exgene™ Blood SV (GeneAll Biotechnology), following the manufacturer's guidelines. Qubit™ dsDNA HS Assay Kit (Thermo Fisher Scientific) was used for DNA quantification. Method Exome analysis The DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation. The variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG). The DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation. The variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG). Sanger validation The candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems). The candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems). Exome analysis The DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation. The variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG). The DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation. The variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG). Sanger validation The candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems). The candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems). Subject: A total of seven affected individuals with OCA, including six (P1, P2, P3, P4, P6, and P7) and their parents (Figure 2–5) from four unrelated nonconsanguineous families, and a single man (P5) were recruited from Hanoi Medical University Hospital, Hanoi, Vietnam. All patients presented with typical clinical features of albinism, including various degrees of eyes, hair, and skin hypopigmentation. Written informed consents were obtained from all patients and family members before sample collection. This study was approved by the Institute of Genome Research Institutional Review Board, Vietnam Academy of Science and Technology. For patients and family members, 2 ml of whole blood was collected, preserved in EDTA‐containing tubes, and stored at −20°C. Genomic DNA extraction was performed by using Exgene™ Blood SV (GeneAll Biotechnology), following the manufacturer's guidelines. Qubit™ dsDNA HS Assay Kit (Thermo Fisher Scientific) was used for DNA quantification. Method: Exome analysis The DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation. The variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG). The DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation. The variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG). Sanger validation The candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems). The candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems). Exome analysis: The DNA library was constructed by Sure Select V6‐Post (Agilent Technologies) following the manufacturer's guidelines. The sequencing was performed by using an Illumina NovaSeq 6000 platform (Illumina) with paired reads of 150 bp. The reads were mapped to the hg19/GRCh37 human reference genome by the BWA.v0.7.12 tool, and Picard was used to mark the duplicates. Genome Analysis Toolkit (GATK) and Samtools were used to detect single nucleotide variants (SNVs) and short insertions/deletions (Indels). To exclude false positive, all variants with depth read lower than 20× were removed. Short Indels in the repeat regions and within the ten bp range from the start and end of the read were also excluded. After that, the remaining variants were filtered from the public databases comprising 1000G and gnomAD. All variants with minor allele frequency (MAF) under 0.01% were selected for further evaluation. The variants were annotated with the ANNOVAR program. The in silico analysis was performed by SIFT, Polyphen‐2, and Mutation Taster to anticipate the functional effect of missense and nonsense variants. The candidate variants were classified according to the Guideline and Standard of the American College of Medical Genetics and Genomics (ACMG). Sanger validation: The candidate variants were validated by direct Sanger sequencing in patients as well as their parents. Primers for PCR and sequencing were provided by PHUSA Biochem Company (Can Tho, Vietnam). For PCR amplification, 10 ng of total genomic DNA was used as a template in 20 μl of reaction mixture containing 1X Neb Master mix (New England Biolabs, Ipswich), 0.8 μl of each primer (10 pmole), and 8.4 μl of deionized water. The thermocycling was 95°C for 2 min, followed by 40 cycles of 95°C for 30 s, 58°C for 30 s, 68°C for 20 s, and a final extension at 68°C for 5 min. The PCR products were purified using Multiscreen PCR 96 Filter Plate (Merck‐Millipore) and sequenced by ABI Prism BigDye Terminator Cycle Sequencing Kit Version 3.1 (Applied BioSystems) on ABI 3500 Genetic Analyzer (Applied BioSystems). RESULT: Clinical features In all the seven patients, hypopigmented eyes, hair and skin, and photophobia were observed. The other ophthalmological findings, including nystagmus, reduced visual acuity, strabismus, foveal hypoplasia, ecchymosis, and reduced stereopsis, were different in each patient (Table 1). Patient characteristics (+) Positive; (−) Negative; (·) Not available. In brothers of P1 (7 years old) and P2 (5 years old), the clinical manifestation included white hair and skin, and blue eyes (Figure 1A,B). The presentation of photophobia with discomfort and eye pain when exposed to light, nystagmus (increased when illness and stress), and choroidal metaplasia were detected. Myopia −14 diopters (D) and visual acuity of 1/10 were identified in P1 and P2, respectively, and the problem to perceive depth was also observed in both patients (Table 1). Additionally, the younger brother showed a history of repeated pneumonia (P2). Clinical features of six albinism cases in Vietnam (patient 6 was not present) with hypopigmentation in skin, hair (white skin and hair in P1, P2, and P5; pinkish‐white skin and light yellow hair in P3 and P4; white skin and brown hair in P7), and iris color arrange from blue (P1, P2, and P7) to brown (P3, P4, and P5) Patients 3 (P3, 27 years old) and 4 (P4, 23 years old) were the first and the second child in a family of three children. The fair skin, light blonde hair, brown eyes (Figure 1C,D), photophobia, nystagmus, amblyopia, and decreased perception of depth were observed in both patients. The younger sister (P4) presented with strabismus in her right eye (Table 1 and Figure 1D), a history of glomerulonephritis, scaly dermatitis, and subcutaneous hemorrhage. Patient 5 (P5) was a 63‐year‐old man with white skin and hair, blue eyes, and photophobia (Figure 1E). The patient had been visual acuity of 6/10 in both eyes and reduced stereopsis. Manifestations of nystagmus and foveal hypoplasia were not observed in this patient (Table 1). Patient 6 (P6) was a 26‐year‐old woman, the second child in the family. Clinical features of OCA consist of pinkish‐white skin, hair and eyebrows, light brown eyelashes, brown eyes, and manifestations of photophobia (patient's images were not provided). The patient had normal physical, mental, and motor development, with no manifestations of nystagmus, foveal hypoplasia, and refractive errors (Table 1). Patient 7 (P7) was a 5‐year‐old boy, who presented with white skin, reddish yellow to brown hair, blue eyes (Figure 1F), increased sensitivity to light (photophobia), astigmatism, and must wear glasses. Other manifestations, including nystagmus and reduced depth perception, were observed in the patient (Table 1). In all the seven patients, hypopigmented eyes, hair and skin, and photophobia were observed. The other ophthalmological findings, including nystagmus, reduced visual acuity, strabismus, foveal hypoplasia, ecchymosis, and reduced stereopsis, were different in each patient (Table 1). Patient characteristics (+) Positive; (−) Negative; (·) Not available. In brothers of P1 (7 years old) and P2 (5 years old), the clinical manifestation included white hair and skin, and blue eyes (Figure 1A,B). The presentation of photophobia with discomfort and eye pain when exposed to light, nystagmus (increased when illness and stress), and choroidal metaplasia were detected. Myopia −14 diopters (D) and visual acuity of 1/10 were identified in P1 and P2, respectively, and the problem to perceive depth was also observed in both patients (Table 1). Additionally, the younger brother showed a history of repeated pneumonia (P2). Clinical features of six albinism cases in Vietnam (patient 6 was not present) with hypopigmentation in skin, hair (white skin and hair in P1, P2, and P5; pinkish‐white skin and light yellow hair in P3 and P4; white skin and brown hair in P7), and iris color arrange from blue (P1, P2, and P7) to brown (P3, P4, and P5) Patients 3 (P3, 27 years old) and 4 (P4, 23 years old) were the first and the second child in a family of three children. The fair skin, light blonde hair, brown eyes (Figure 1C,D), photophobia, nystagmus, amblyopia, and decreased perception of depth were observed in both patients. The younger sister (P4) presented with strabismus in her right eye (Table 1 and Figure 1D), a history of glomerulonephritis, scaly dermatitis, and subcutaneous hemorrhage. Patient 5 (P5) was a 63‐year‐old man with white skin and hair, blue eyes, and photophobia (Figure 1E). The patient had been visual acuity of 6/10 in both eyes and reduced stereopsis. Manifestations of nystagmus and foveal hypoplasia were not observed in this patient (Table 1). Patient 6 (P6) was a 26‐year‐old woman, the second child in the family. Clinical features of OCA consist of pinkish‐white skin, hair and eyebrows, light brown eyelashes, brown eyes, and manifestations of photophobia (patient's images were not provided). The patient had normal physical, mental, and motor development, with no manifestations of nystagmus, foveal hypoplasia, and refractive errors (Table 1). Patient 7 (P7) was a 5‐year‐old boy, who presented with white skin, reddish yellow to brown hair, blue eyes (Figure 1F), increased sensitivity to light (photophobia), astigmatism, and must wear glasses. Other manifestations, including nystagmus and reduced depth perception, were observed in the patient (Table 1). Genetic analysis WES data analysis revealed six candidate pathogenic variants with very rare or unknown allele frequency, including four variants in the TYR gene (NM_000372.3, #MIM:606993) (P1, P2, P3, P4, and P5), two variants in OCA2 (NM_000275.3, #MIM:611409) (P6), and HPS1 (NM_000195, #MIM:604982) (P7) genes, respectively (Table 2). Gene mutations in seven Vietnamese OCA LP† (PM2, PM3, PP1‐PP4) P† (PVS1, PM4, PP1, PP3, PP4) LP† (PM2, PM3,PP1‐PP4) Abbreviations: FS del, frameshift deletion; FS ins, frameshift insertion; het, heterozygous; hom, homozygous; HPS, Hermansky–Pudlak syndrome; LP, Likely pathogenic; nonsyn, non‐synonymous; OCA, oculocutaneous albinism; P, pathogenic; PM, pathogenic moderate; PP, pathogenic supporting; PVS, pathogenic very strong. †In current study; ‡Previously unknown zygosity; (·) Not available. A TYR compound heterozygous mutation (c.346C > T and c.929insC) that resulted in two premature termination codons (PTCs) (p.R116* and p.R311fs*7) was observed in two brothers (P1 and P2). Both mutations were reported in dbSNP (rs61753256 and rs281865527) and were known as pathogenicity in ClinVar (Table 2). Sanger sequencing confirmed that the affected individuals inherited the c.3416C > T from the father and the c.929insC from the mother (Figure 2A). In addition, genetic testing detected c.929insC heterozygous mutation from the amniotic fluid sample of the third pregnancy of the mother (Figure 2A). Two homozygous TYR variations were found in the patients P3 and his younger sister P4 (c.115 T > C, p.W39R; Figure 2B) and P5 (c.559_560ins25, p.G190fs*12; Figure 2C). In which, the c.115 T > C has been reported in the human genome mutation database (HGMD: CM100987) and was not found in dbSNP as ClinVar. This variant resulted in a substitution of conserved amino acid tryptophan by arginine (p.W39R) and was predicted as probably damaging/deleterious by SIFT, Polyphen2, and disease causing in MutationTaster. The c.559_560ins25 was not identified in any online databases (Table 2), but three carriers with OCA were reported in previous publications (PMID: 25577957, 31,196,117 and 31,077,556). Verification by directed sequencing showed that the heterozygous c.115 T > C variant was observed in the parent of P3 and P4 and did not inherit to the third child (Figure 2B). In brief, OCA1 subtype diagnosis was considered in five affected individuals with the finding of TYR mutations. Pedigree charts of two families (A and B) and electropherograms of five affected individuals and their families (except the family of P5) with TYR mutations. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides (A and B) and insertion sequence (C) were marked with red/blue arrows and red box, respectively. The other non‐syndromic OCA subtype with a molecular diagnosis of OCA2 (P6) was identified to be homozygous for OCA2 c.2323G > A (dbSNP: rs774822330), leading to a substitution of glycine to serine at codon 775 in polypeptide (p.G775S) (Table 2). This missense variant was predicted to be damaging effect on protein function by SIFT, Polyphen2, and disease causing by MutationTaster. Sequencing analysis indicated that both father and mother were heterozygous carriers for c.2323G > A (Figure 3). Pedigree chart and electropherograms of P6 family with OCA2 mutation. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides were marked with red/blue arrows Only patient 7 (P7) was classified as the subtype of syndromic albinism due to the fact that the c.972delC homozygote of the HPS1 gene was found to cause Hermansky–Pudlak syndrome. The c.972delC was pathogenic mutation and was reported in dbSNP as ClinVar (Table 2). The familial segregation was confirmed for c.972delC with the heterozygous trait in both parents by Sanger sequencing (Figure 4). Pedigree chart and electropherograms of P7 family with HPS1 mutation. Full/half black represents patient/carrier individuals. Mutated nucleotides were marked with red arrows WES data analysis revealed six candidate pathogenic variants with very rare or unknown allele frequency, including four variants in the TYR gene (NM_000372.3, #MIM:606993) (P1, P2, P3, P4, and P5), two variants in OCA2 (NM_000275.3, #MIM:611409) (P6), and HPS1 (NM_000195, #MIM:604982) (P7) genes, respectively (Table 2). Gene mutations in seven Vietnamese OCA LP† (PM2, PM3, PP1‐PP4) P† (PVS1, PM4, PP1, PP3, PP4) LP† (PM2, PM3,PP1‐PP4) Abbreviations: FS del, frameshift deletion; FS ins, frameshift insertion; het, heterozygous; hom, homozygous; HPS, Hermansky–Pudlak syndrome; LP, Likely pathogenic; nonsyn, non‐synonymous; OCA, oculocutaneous albinism; P, pathogenic; PM, pathogenic moderate; PP, pathogenic supporting; PVS, pathogenic very strong. †In current study; ‡Previously unknown zygosity; (·) Not available. A TYR compound heterozygous mutation (c.346C > T and c.929insC) that resulted in two premature termination codons (PTCs) (p.R116* and p.R311fs*7) was observed in two brothers (P1 and P2). Both mutations were reported in dbSNP (rs61753256 and rs281865527) and were known as pathogenicity in ClinVar (Table 2). Sanger sequencing confirmed that the affected individuals inherited the c.3416C > T from the father and the c.929insC from the mother (Figure 2A). In addition, genetic testing detected c.929insC heterozygous mutation from the amniotic fluid sample of the third pregnancy of the mother (Figure 2A). Two homozygous TYR variations were found in the patients P3 and his younger sister P4 (c.115 T > C, p.W39R; Figure 2B) and P5 (c.559_560ins25, p.G190fs*12; Figure 2C). In which, the c.115 T > C has been reported in the human genome mutation database (HGMD: CM100987) and was not found in dbSNP as ClinVar. This variant resulted in a substitution of conserved amino acid tryptophan by arginine (p.W39R) and was predicted as probably damaging/deleterious by SIFT, Polyphen2, and disease causing in MutationTaster. The c.559_560ins25 was not identified in any online databases (Table 2), but three carriers with OCA were reported in previous publications (PMID: 25577957, 31,196,117 and 31,077,556). Verification by directed sequencing showed that the heterozygous c.115 T > C variant was observed in the parent of P3 and P4 and did not inherit to the third child (Figure 2B). In brief, OCA1 subtype diagnosis was considered in five affected individuals with the finding of TYR mutations. Pedigree charts of two families (A and B) and electropherograms of five affected individuals and their families (except the family of P5) with TYR mutations. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides (A and B) and insertion sequence (C) were marked with red/blue arrows and red box, respectively. The other non‐syndromic OCA subtype with a molecular diagnosis of OCA2 (P6) was identified to be homozygous for OCA2 c.2323G > A (dbSNP: rs774822330), leading to a substitution of glycine to serine at codon 775 in polypeptide (p.G775S) (Table 2). This missense variant was predicted to be damaging effect on protein function by SIFT, Polyphen2, and disease causing by MutationTaster. Sequencing analysis indicated that both father and mother were heterozygous carriers for c.2323G > A (Figure 3). Pedigree chart and electropherograms of P6 family with OCA2 mutation. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides were marked with red/blue arrows Only patient 7 (P7) was classified as the subtype of syndromic albinism due to the fact that the c.972delC homozygote of the HPS1 gene was found to cause Hermansky–Pudlak syndrome. The c.972delC was pathogenic mutation and was reported in dbSNP as ClinVar (Table 2). The familial segregation was confirmed for c.972delC with the heterozygous trait in both parents by Sanger sequencing (Figure 4). Pedigree chart and electropherograms of P7 family with HPS1 mutation. Full/half black represents patient/carrier individuals. Mutated nucleotides were marked with red arrows Clinical features: In all the seven patients, hypopigmented eyes, hair and skin, and photophobia were observed. The other ophthalmological findings, including nystagmus, reduced visual acuity, strabismus, foveal hypoplasia, ecchymosis, and reduced stereopsis, were different in each patient (Table 1). Patient characteristics (+) Positive; (−) Negative; (·) Not available. In brothers of P1 (7 years old) and P2 (5 years old), the clinical manifestation included white hair and skin, and blue eyes (Figure 1A,B). The presentation of photophobia with discomfort and eye pain when exposed to light, nystagmus (increased when illness and stress), and choroidal metaplasia were detected. Myopia −14 diopters (D) and visual acuity of 1/10 were identified in P1 and P2, respectively, and the problem to perceive depth was also observed in both patients (Table 1). Additionally, the younger brother showed a history of repeated pneumonia (P2). Clinical features of six albinism cases in Vietnam (patient 6 was not present) with hypopigmentation in skin, hair (white skin and hair in P1, P2, and P5; pinkish‐white skin and light yellow hair in P3 and P4; white skin and brown hair in P7), and iris color arrange from blue (P1, P2, and P7) to brown (P3, P4, and P5) Patients 3 (P3, 27 years old) and 4 (P4, 23 years old) were the first and the second child in a family of three children. The fair skin, light blonde hair, brown eyes (Figure 1C,D), photophobia, nystagmus, amblyopia, and decreased perception of depth were observed in both patients. The younger sister (P4) presented with strabismus in her right eye (Table 1 and Figure 1D), a history of glomerulonephritis, scaly dermatitis, and subcutaneous hemorrhage. Patient 5 (P5) was a 63‐year‐old man with white skin and hair, blue eyes, and photophobia (Figure 1E). The patient had been visual acuity of 6/10 in both eyes and reduced stereopsis. Manifestations of nystagmus and foveal hypoplasia were not observed in this patient (Table 1). Patient 6 (P6) was a 26‐year‐old woman, the second child in the family. Clinical features of OCA consist of pinkish‐white skin, hair and eyebrows, light brown eyelashes, brown eyes, and manifestations of photophobia (patient's images were not provided). The patient had normal physical, mental, and motor development, with no manifestations of nystagmus, foveal hypoplasia, and refractive errors (Table 1). Patient 7 (P7) was a 5‐year‐old boy, who presented with white skin, reddish yellow to brown hair, blue eyes (Figure 1F), increased sensitivity to light (photophobia), astigmatism, and must wear glasses. Other manifestations, including nystagmus and reduced depth perception, were observed in the patient (Table 1). Genetic analysis: WES data analysis revealed six candidate pathogenic variants with very rare or unknown allele frequency, including four variants in the TYR gene (NM_000372.3, #MIM:606993) (P1, P2, P3, P4, and P5), two variants in OCA2 (NM_000275.3, #MIM:611409) (P6), and HPS1 (NM_000195, #MIM:604982) (P7) genes, respectively (Table 2). Gene mutations in seven Vietnamese OCA LP† (PM2, PM3, PP1‐PP4) P† (PVS1, PM4, PP1, PP3, PP4) LP† (PM2, PM3,PP1‐PP4) Abbreviations: FS del, frameshift deletion; FS ins, frameshift insertion; het, heterozygous; hom, homozygous; HPS, Hermansky–Pudlak syndrome; LP, Likely pathogenic; nonsyn, non‐synonymous; OCA, oculocutaneous albinism; P, pathogenic; PM, pathogenic moderate; PP, pathogenic supporting; PVS, pathogenic very strong. †In current study; ‡Previously unknown zygosity; (·) Not available. A TYR compound heterozygous mutation (c.346C > T and c.929insC) that resulted in two premature termination codons (PTCs) (p.R116* and p.R311fs*7) was observed in two brothers (P1 and P2). Both mutations were reported in dbSNP (rs61753256 and rs281865527) and were known as pathogenicity in ClinVar (Table 2). Sanger sequencing confirmed that the affected individuals inherited the c.3416C > T from the father and the c.929insC from the mother (Figure 2A). In addition, genetic testing detected c.929insC heterozygous mutation from the amniotic fluid sample of the third pregnancy of the mother (Figure 2A). Two homozygous TYR variations were found in the patients P3 and his younger sister P4 (c.115 T > C, p.W39R; Figure 2B) and P5 (c.559_560ins25, p.G190fs*12; Figure 2C). In which, the c.115 T > C has been reported in the human genome mutation database (HGMD: CM100987) and was not found in dbSNP as ClinVar. This variant resulted in a substitution of conserved amino acid tryptophan by arginine (p.W39R) and was predicted as probably damaging/deleterious by SIFT, Polyphen2, and disease causing in MutationTaster. The c.559_560ins25 was not identified in any online databases (Table 2), but three carriers with OCA were reported in previous publications (PMID: 25577957, 31,196,117 and 31,077,556). Verification by directed sequencing showed that the heterozygous c.115 T > C variant was observed in the parent of P3 and P4 and did not inherit to the third child (Figure 2B). In brief, OCA1 subtype diagnosis was considered in five affected individuals with the finding of TYR mutations. Pedigree charts of two families (A and B) and electropherograms of five affected individuals and their families (except the family of P5) with TYR mutations. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides (A and B) and insertion sequence (C) were marked with red/blue arrows and red box, respectively. The other non‐syndromic OCA subtype with a molecular diagnosis of OCA2 (P6) was identified to be homozygous for OCA2 c.2323G > A (dbSNP: rs774822330), leading to a substitution of glycine to serine at codon 775 in polypeptide (p.G775S) (Table 2). This missense variant was predicted to be damaging effect on protein function by SIFT, Polyphen2, and disease causing by MutationTaster. Sequencing analysis indicated that both father and mother were heterozygous carriers for c.2323G > A (Figure 3). Pedigree chart and electropherograms of P6 family with OCA2 mutation. Full/half black represents patient/carrier individuals. Mutated/normal nucleotides were marked with red/blue arrows Only patient 7 (P7) was classified as the subtype of syndromic albinism due to the fact that the c.972delC homozygote of the HPS1 gene was found to cause Hermansky–Pudlak syndrome. The c.972delC was pathogenic mutation and was reported in dbSNP as ClinVar (Table 2). The familial segregation was confirmed for c.972delC with the heterozygous trait in both parents by Sanger sequencing (Figure 4). Pedigree chart and electropherograms of P7 family with HPS1 mutation. Full/half black represents patient/carrier individuals. Mutated nucleotides were marked with red arrows DISCUSSION: In this study, the molecular diagnosis for seven affected individuals with albinism was provided, including identified mutations in TYR, OCA2, and HPS1 genes associated with OCA subtype 1 (P1, P2, P3, P4, and P5), subtype 2 (P6), and Hermansky–Pudlak syndrome (HPS) (P7), respectively. OCA1 and OCA2 were the common subtypes of non‐syndromic OCA, while HPS was the rare syndromic OCA. The TYR mutations causing to OCA1 included compound heterozygote (c.346C > T and c.929insC), two homozygous of c.115 T > C (p.W39R), and c.559ins25 (p.G190Cfs*12), which were observed in two siblings (P1, P2, and P3, P4) and the elderly patient (P5), respectively. There were two subtypes of OCA1 (OCA1A and OCA1B), of which OCA1A was produced by null mutations that resulted in absence or inactive tyrosinase. In OCA1B, the activity of tyrosinase was reduced compared with normal form, caused by leaky mutations, allowing some accumulation of melanin pigment over time. 8 , 9 Therefore, genetic testing would be considered as the important investigation for the accurate diagnosis of OCA1 subtypes. In five OCA1 cases of our study, three patients (P1, P2, and P5) were classified as OCA1A, carrying PTC mutations (p.R116*; p.R311fs*7; and p.G190Cfs*12) in both alleles, leading to a complete loss of tyrosine function, thereby not producing melanin in the melanocytes. These mutations were known, in which the c.346C > T (p.R116*) had been reported previously in Chinese and Caucasian patients 10 , 11 , 12 and the c.929insC mutation (p.R311fs*7) was quite common ones in the Chinese 12 , 13 , 14 , 15 and some other East Asian countries such as Japan and Korea with OCA1. 16 , 17 , 18 Particular, the c.559_560ins25 (p.G190Cfs*12) was a relatively rare mutation. To the best of our knowledge, P5 was the fourth case carrying this mutation and was the first finding case outside the Chinese. 11 , 15 , 19 Moreover, genetic counseling was performed in the third pregnancy of the mother's P1 and P2, and the baby showed no signs of OCA after birth. This confirms that prenatal genetic screening in risk couples was effective and possible for this disorder. The P3 and P4 were classified as OCA1B, both carried a homozygous mutation c.115 T > C (p.W39R), leading to decreased tyrosine activity and subsequently reduce melanin creation. This mutation was just reported in a Chinese male patient in a heterozygous state, who was initially diagnosed with OCA2 based on clinical features. However, upon genetic analysis, he was classified as OCA1B with compound heterozygous for c.115 T > C (p.W39R) and c.1265G > A (p.R422Q) of the TYR gene. 14 Thus, molecular screening has played an important role in the accurate diagnosis of the albinism subtype. In our study, the TYR c.115 T > C (p.W39R) was the first observed in a homozygous state, finding in two patients of P3 and P4. In addition, not only the substitution at nucleotide 115 (c.115 T > C, p.W39R) but two others at position 116 (c.116G > A, p.W39*) and 117 (c.117G > T, p.W39C) were also reported to functionally affect codon 39 in the polypeptide, all implicated in OCA1B. 14 , 20 For these reasons, the TYR c.115 T > C has been classified as “likely pathogenic” following the ACMG criteria (Table 2). An OCA2 case detected in this study was patient P6, carrying the OCA2 homozygous variant c.2323G > A (p.G775S). This variant was previously found with homozygous in a Vietnamese patient, but the authors assumed that this substitution had no harmful consequence on protein. Preising et al. explained that, when conducting in silico analysis using SIFT and Polyphen‐2, the results were contradictory, so c.2323G > A (p.G775S) was not considered to be the causative agent of the disease. Instead of the c.2323G > A (p.G775S), the homozygous c.1113 T > C (p.G371=) was reported as the causative mutation in the study of Preising et al., according to novel splice donor site prediction by Splice Sequence Finder Server. 21 However, until now, c.1113 T > C (p.G371=) has been reported as a benign variant on the ClinVar database (VCV000193573.7). On the other hand, in current work, in silico prediction by SIFT and Polyphen‐2, both showed the c.2323G > A (p.G775S) to be potentially damaging the encoded protein. In addition, at codon position 775 exist, two other alterations previously found in OCA2 patients including c.2323G > C (p.G775R) 22 and c.2324G > A (p. G775D). 23 The glycin at c.775 was highly conserved and located within the transmembrane 11 region in total of 12 domains on P polypeptide, encoded by the OCA2 gene. Therefore, the substitutions of G775 may possibly inhibit the folding of P‐protein and lead to harmful consequences. Based on these suggestions, we predict that c.2323G > A (p.G775S) could be considered a “likely pathogenic” variant according to ACMG classification (Table 2) and should be functionally demonstrated in further studies. Patient 7 was the only syndromic OCA case associated with Hermansky–Pudlak syndrome (HPS) caused by homozygous frameshift HPS1 c.972delC mutation, making to the appearance of PTC on the polypeptide chain (p.M325fs*6), which was previously reported in causing of failure to the formation or resulting in a protein loss of function after translation. 24 The HPS1 loss of function was established as a known mechanism of disease in autosomal recessive HPS. 1 In fact, nucleotide C at position 972 was identified as a mutation “hotspot” of the HPS1 gene. 10 The p.M325fs*6 was the co‐product of the insertion (c.972insC) or deletion (c.972delC) at position 972 on the nucleotide sequence, which has been known to be the most common mutation in the European HPS patients. 25 Therein, c.972delC was observed in some Puerto Rican, 26 Mexican, 27 Chinese 28 and African American 29 patients. The c.972insC was found mainly in Puerto Rican 25 and some Japanese patients. 30 In HPS, the classic clinical features included OCA, a prolonged bleeding due to storage pool‐deficient platelets, and development of granulomatous, pulmonary fibrosis, or neutropenia in some cases. 1 However, apart from the main OCA findings, the other features specialty of HPS was not identified in P3. For this reason, molecular tests could be needed for the specific classification of albinism subtypes. CONCLUSION: This is the first report on albinism‐causing genes in Vietnam, exploring the mutational spectrum relevant to this disorder. To the best of our knowledge, we also report a rare TYR mutation (c.115 T > C) with the novel zygosity being homozygous. Considering overlapped characteristics of OCA subtypes, molecular genetic analysis will substantially aid clinical diagnosis and genetic counseling of OCA. AUTHOR CONTRIBUTIONS: Conceptualization: NDT, NVH; Funding acquisition: NDT; Data curation, Formal analysis, and Investigation: MTHT, VPN, NHH, TTBN, HTL, LTLA; Roles/Writing ‐ original draft: MTHT, NDT; Writing ‐ review & editing: MTHT, NHH, NDT, NVH. CONFLICT OF INTEREST: All authors declare that they have no conflict of interest.
Background: Oculocutaneous albinism (OCA) is an autosomal recessive disease with hypopigmentation in skin, hair, and eyes, causing by the complete absence or reduction of melanin in melanocytes. Many types of OCA were observed based on the mutation in different causing genes relating to albinism. OCA can occur in non-syndromic and syndromic forms, where syndromic OCA coexists with additional systemic consequences beyond hypopigmentation and visual-associated symptoms. Methods: We performed whole exome sequencing in seven affected individuals (P1-P7) for mutation identification, and then, Sanger sequencing was used for verifications. Results: Among them, five patients (P1-P5) have mutations on TYR gene including c.346C > T, c.929insC, c.115 T > C, and c.559_560ins25. The mutation on OCA2 and HPS1 genes was found in patient 6 (P6, OCA2 c.2323G > A) and patient 7 (P7, HPS1 c.972delC), respectively. Confirmation in parents (except the family of the elderly patient, P5) showed that the mother and the father in each family carried one of the variants that were detected in patients. Additionally, the effective genetic counseling was applied in the third pregnancy of a family with two OCA children (P1 and P2). Conclusions: To our best knowledge, this is the first case with a novel homozygous missense mutation (c.115 T > C, p.W39R) in the TYR gene. This study provides a broader spectrum of mutations linked to the oculocutaneous albinism, an additional scientific basis for diagnosis, and appropriate genetic counseling for risk couples.
INTRODUCTION: Albinism is a rare genetic disorder caused by the reduction or absence of polymeric pigment melanin that affects the skin, hair, and/or eyes. Defective melanin production from tyrosine through a complex pathway of metabolic reactions leads to hypopigmentation, severe visual deficits, and finally albinism. Most patients with albinism have white hair and very light‐colored skin. Skin and hair color can range from white to brown and eyes color can range from light blue to brown. Vision impairment is a major feature of all albinism types. Several vision problems can occur, including nystagmus, iris transillumination, macular hypoplasia, strabismus, reduced visual acuity, and depth perception. There are two main albinism categories, which are classified based on the affection of skin, hair, and eyes, or only the eyes in oculocutaneous albinism (OCA) and ocular albinism (OA), respectively. In OCA, the number and structure of melanin are not significantly altered in any degree of observed pigmentation, whereas the appearance of a large number of distinct pigment cells within melanosomes is characteristic in OA. The OCA is a genetically heterogeneous and autosomal recessive disorder characterized by the hypopigmentation of skin, hair, and eyes. To date, at least seven autosomal genes have been associated with seven non‐syndromic OCA (OCA1, OCA2, OCA3, OCA4, OCA6, OCA7, and OCA8), including TYR, OCA2, TYRP1, SLC45A2, SLC24A5, C10orf11, and DCT. 1 , 2 For OCA5, the causative locus was mapped on chromosome 4q24, this is the only OCA subtype that causing genes have not been determined. 3 Other genes included HPS1, AP3B1, HPS3, HPS4, HPS5, HPS6, DTNBP1, BLOC1S3, BLOC1S6, AP3D1, BLOC1S5, and LYST were also involved in causing two syndromic OCA: Hermansky–Pudlak syndrome (HPS1‐11) and Chediak–Higashi syndrome (CHS). 4 , 5 , 6 Syndromic OCA can be more severe and associated with additional symptoms than only alteration of pigmentation and vision. The other type of albinism is ocular albinism (OA) that affected only the eyes, caused by mutation in OA1/GPR143 gene on X chromosome. 7 Vision acuity and photophobia of patients with OA are reduced and strabismus or nystagmus is also observed. 1 In Vietnam, until now, the genetic data of albinism have remained unknown. Thereby, for the first time, genetic analysis was performed on seven Vietnamese albinism patients in our study. CONCLUSION: This is the first report on albinism‐causing genes in Vietnam, exploring the mutational spectrum relevant to this disorder. To the best of our knowledge, we also report a rare TYR mutation (c.115 T > C) with the novel zygosity being homozygous. Considering overlapped characteristics of OCA subtypes, molecular genetic analysis will substantially aid clinical diagnosis and genetic counseling of OCA.
Background: Oculocutaneous albinism (OCA) is an autosomal recessive disease with hypopigmentation in skin, hair, and eyes, causing by the complete absence or reduction of melanin in melanocytes. Many types of OCA were observed based on the mutation in different causing genes relating to albinism. OCA can occur in non-syndromic and syndromic forms, where syndromic OCA coexists with additional systemic consequences beyond hypopigmentation and visual-associated symptoms. Methods: We performed whole exome sequencing in seven affected individuals (P1-P7) for mutation identification, and then, Sanger sequencing was used for verifications. Results: Among them, five patients (P1-P5) have mutations on TYR gene including c.346C > T, c.929insC, c.115 T > C, and c.559_560ins25. The mutation on OCA2 and HPS1 genes was found in patient 6 (P6, OCA2 c.2323G > A) and patient 7 (P7, HPS1 c.972delC), respectively. Confirmation in parents (except the family of the elderly patient, P5) showed that the mother and the father in each family carried one of the variants that were detected in patients. Additionally, the effective genetic counseling was applied in the third pregnancy of a family with two OCA children (P1 and P2). Conclusions: To our best knowledge, this is the first case with a novel homozygous missense mutation (c.115 T > C, p.W39R) in the TYR gene. This study provides a broader spectrum of mutations linked to the oculocutaneous albinism, an additional scientific basis for diagnosis, and appropriate genetic counseling for risk couples.
9,811
312
[ 474, 182, 229, 184, 587, 837, 57 ]
13
[ "variants", "patient", "patients", "sequencing", "figure", "hair", "skin", "mutation", "table", "oca" ]
[ "albinism types vision", "ocular albinism oa", "oca ocular albinism", "vision type albinism", "eyes oculocutaneous albinism" ]
[CONTENT] HPS1 | OCA2 | oculocutaneous albinism | TYR | vietnamese | WES [SUMMARY]
[CONTENT] HPS1 | OCA2 | oculocutaneous albinism | TYR | vietnamese | WES [SUMMARY]
[CONTENT] HPS1 | OCA2 | oculocutaneous albinism | TYR | vietnamese | WES [SUMMARY]
[CONTENT] HPS1 | OCA2 | oculocutaneous albinism | TYR | vietnamese | WES [SUMMARY]
[CONTENT] HPS1 | OCA2 | oculocutaneous albinism | TYR | vietnamese | WES [SUMMARY]
[CONTENT] HPS1 | OCA2 | oculocutaneous albinism | TYR | vietnamese | WES [SUMMARY]
[CONTENT] Aged | Albinism, Oculocutaneous | Asian People | Child | Female | Humans | Hypopigmentation | Membrane Transport Proteins | Mutation | Pregnancy [SUMMARY]
[CONTENT] Aged | Albinism, Oculocutaneous | Asian People | Child | Female | Humans | Hypopigmentation | Membrane Transport Proteins | Mutation | Pregnancy [SUMMARY]
[CONTENT] Aged | Albinism, Oculocutaneous | Asian People | Child | Female | Humans | Hypopigmentation | Membrane Transport Proteins | Mutation | Pregnancy [SUMMARY]
[CONTENT] Aged | Albinism, Oculocutaneous | Asian People | Child | Female | Humans | Hypopigmentation | Membrane Transport Proteins | Mutation | Pregnancy [SUMMARY]
[CONTENT] Aged | Albinism, Oculocutaneous | Asian People | Child | Female | Humans | Hypopigmentation | Membrane Transport Proteins | Mutation | Pregnancy [SUMMARY]
[CONTENT] Aged | Albinism, Oculocutaneous | Asian People | Child | Female | Humans | Hypopigmentation | Membrane Transport Proteins | Mutation | Pregnancy [SUMMARY]
[CONTENT] albinism types vision | ocular albinism oa | oca ocular albinism | vision type albinism | eyes oculocutaneous albinism [SUMMARY]
[CONTENT] albinism types vision | ocular albinism oa | oca ocular albinism | vision type albinism | eyes oculocutaneous albinism [SUMMARY]
[CONTENT] albinism types vision | ocular albinism oa | oca ocular albinism | vision type albinism | eyes oculocutaneous albinism [SUMMARY]
[CONTENT] albinism types vision | ocular albinism oa | oca ocular albinism | vision type albinism | eyes oculocutaneous albinism [SUMMARY]
[CONTENT] albinism types vision | ocular albinism oa | oca ocular albinism | vision type albinism | eyes oculocutaneous albinism [SUMMARY]
[CONTENT] albinism types vision | ocular albinism oa | oca ocular albinism | vision type albinism | eyes oculocutaneous albinism [SUMMARY]
[CONTENT] variants | patient | patients | sequencing | figure | hair | skin | mutation | table | oca [SUMMARY]
[CONTENT] variants | patient | patients | sequencing | figure | hair | skin | mutation | table | oca [SUMMARY]
[CONTENT] variants | patient | patients | sequencing | figure | hair | skin | mutation | table | oca [SUMMARY]
[CONTENT] variants | patient | patients | sequencing | figure | hair | skin | mutation | table | oca [SUMMARY]
[CONTENT] variants | patient | patients | sequencing | figure | hair | skin | mutation | table | oca [SUMMARY]
[CONTENT] variants | patient | patients | sequencing | figure | hair | skin | mutation | table | oca [SUMMARY]
[CONTENT] albinism | oa | vision | eyes | oca | skin | hair | skin hair | hair eyes | skin hair eyes [SUMMARY]
[CONTENT] variants | pcr | sequencing | μl | 20 | illumina | abi | reads | 68 | biosystems [SUMMARY]
[CONTENT] patient | table | figure | hair | skin | old | white | pathogenic | white skin | nystagmus [SUMMARY]
[CONTENT] report | analysis substantially aid | homozygous considering overlapped | mutation 115 novel | mutation 115 novel zygosity | causing genes vietnam exploring | causing genes vietnam | exploring | exploring mutational | exploring mutational spectrum relevant [SUMMARY]
[CONTENT] variants | patient | pcr | sequencing | hair | skin | oca | figure | patients | eyes [SUMMARY]
[CONTENT] variants | patient | pcr | sequencing | hair | skin | oca | figure | patients | eyes [SUMMARY]
[CONTENT] ||| ||| [SUMMARY]
[CONTENT] seven | P1-P7 | Sanger [SUMMARY]
[CONTENT] five | P1-P5 | TYR | c.115 | c.559_560ins25 ||| OCA2 and HPS1 | 6 | P6 | 7 | P7 ||| P5 ||| third | two | P1 | P2 [SUMMARY]
[CONTENT] first | c.115 | TYR ||| [SUMMARY]
[CONTENT] ||| ||| ||| seven | P1-P7 | Sanger ||| ||| five | P1-P5 | TYR | c.115 | c.559_560ins25 ||| OCA2 and HPS1 | 6 | P6 | 7 | P7 ||| P5 ||| third | two | P1 | P2 ||| first | c.115 | TYR ||| [SUMMARY]
[CONTENT] ||| ||| ||| seven | P1-P7 | Sanger ||| ||| five | P1-P5 | TYR | c.115 | c.559_560ins25 ||| OCA2 and HPS1 | 6 | P6 | 7 | P7 ||| P5 ||| third | two | P1 | P2 ||| first | c.115 | TYR ||| [SUMMARY]
Acute effects of dietary phosphorus intake on markers of mineral metabolism in hemodialysis patients: post hoc analysis of a randomized crossover trial.
33427559
Long-term dietary phosphorus excess influences disturbances in mineral metabolism, but it is unclear how rapidly the mineral metabolism responds to short-term dietary change in dialysis populations.
BACKGROUND
This was a post hoc analysis of a randomized crossover trial that evaluated the short-term effects of low-phosphorus diets on mineral parameters in hemodialysis patients. Within a 9-day period, we obtained a total of 4 repeated measurements for each participant regarding dietary intake parameters, including calorie, phosphorus, and calcium intake, and markers of mineral metabolism, including phosphate, calcium, intact parathyroid hormone (iPTH), intact fibroblast growth factor 23 (iFGF23), and C-terminal fibroblast growth factor 23 (cFGF23). The correlations between dietary phosphorus intake and serum mineral parameters were assessed by using mixed-effects models.
METHODS
Thirty-four patients were analyzed. In the fully adjusted model, we found that an increase in dietary phosphorus intake of 100 mg was associated with an increase in serum phosphate of 0.3 mg/dL (95% confidence intervals [CI], 0.2-0.4, p < .001), a decrease in serum calcium of 0.06 mg/dL (95% CI, -0.11 to -0.01, p = .01), an increase in iPTH of 5.4% (95% CI, 1.4-9.3, p = .01), and an increase in iFGF23 of 5.0% (95% CI, 2.0-8.0, p = .001). Dietary phosphorus intake was not related to cFGF23.
RESULTS
Increased dietary phosphorus intake acutely increases serum phosphate, iPTH, and iFGF23 levels and decreases serum calcium levels, highlighting the important role of daily fluctuations of dietary habits in disturbed mineral homeostasis in hemodialysis patients.
CONCLUSIONS
[ "Aged", "Biomarkers", "Calcium", "Cross-Over Studies", "Female", "Fibroblast Growth Factor-23", "Fibroblast Growth Factors", "Humans", "Male", "Middle Aged", "Phosphorus", "Phosphorus, Dietary", "Renal Dialysis", "Renal Insufficiency, Chronic", "Taiwan" ]
7808738
Introduction
Chronic kidney disease-mineral and bone disorder (CKD-MBD) is very common in patients with end-stage kidney disease (ESKD), and emerging evidence suggests that mineral metabolism disorders, including hyperphosphatemia, fibroblast growth factor 23 (FGF23) excess, and secondary hyperparathyroidism, contribute to the high rates of adverse cardiovascular outcomes and premature death [1–4]. Phosphate retention plays an important role in the development of CKD-MBD [5,6]. In addition to adequate dialysis and pharmaceutical treatments, dietary phosphorus restriction has long been a cornerstone of therapy and is a recommended way to ameliorate phosphate retention [7–9]. Animal studies have demonstrated that dietary phosphorus regulates mineral metabolism markers [10–12]. In addition, in human studies, dietary phosphorus has been found to acutely change mineral parameters [13,14]. Previous clinical studies assessing the relationship between dietary phosphorus restriction and CKD-MBD marker levels have focused on non-dialysis populations [15,16]. There is scant evidence to suggest that dietary phosphorus restriction positively affects CKD-MBD markers in patients with CKD [17]. For hemodialysis patients, who have limited compensatory mechanisms to maintain normal phosphate levels and thus have high hyperphosphatemia rates and elevated FGF23 levels, little is known about the association between acute changes in dietary phosphorus and changes in these mineral markers, especially FGF23 [15]. In a previous randomized active-controlled crossover trial conducted on ESKD patients receiving hemodialysis, we found no benefit of a 2-day dietary intervention with a very-low-phosphorus diet (8 mg/g phosphorus-to-protein ratio, PPR) compared with a low-phosphorus diet (10 mg/g PPR) on the outcome of an FGF23 change from baseline [18,19]. However, serum intact FGF23 levels were lower than the baseline in both diet groups. In addition, a greater reduction in serum phosphate level and a greater increase in serum calcium level were found in the 8 mg/g diet group than in the 10 mg/g diet group. Based on these observations, we hypothesized that elevated dietary phosphorus intake acutely and negatively affects markers of mineral metabolism. For clinical application, there is concerned that day-to-day variations in nutritional intake may not be captured by current dialysis practice, which adopted monthly assessment of laboratory measures, and these snapshots of laboratory values are potentially misinterpreted and occasionally of questionable relevance [20]. In order to examine the relationship between dietary phosphorus intake and serum mineral parameters, a post hoc analysis was conducted on existing data from our previous study to evaluate the short-term effects of dietary phosphorus intake on markers of mineral metabolism in patients with ESKD undergoing hemodialysis.
Methods
Study design Figure 1 shows the study design and outcome assessments. We performed a post hoc analysis of a randomized active-controlled crossover single-center clinical trial in which we randomly assigned participants (at an allocation ratio of 1:1) to receive a very-low-phosphorus diet with a PPR of 8 mg/g or a low-phosphorus diet with a PPR of 10 mg/g [18]. Within each 9-day period, each patient consumed each study diet regimen for 2 days; the order of the diets was random, and the two diets were separated by a 5-day washout period. The study protocol, sample size calculation method, and primary outcomes have previously been published in detail [18]. The original study was approved by the institutional review board at Far Eastern Memorial Hospital (FEMH-106108-F) and was registered online before study initiation (ClinicalTrials.gov ID = NCT03367338). Study design and outcome assessments. Participants were randomly assigned to receive study diet A (with a phosphorus-to-protein ratio [PPR] of 8 mg/g) or study diet B (with a PPR of 10 mg/g) during 2-day study periods separated by a 5-day washout period. A total of 4 repeated measurements for the study outcomes were attained before and after each study period. Before each study phase, each participant kept a 3-day dietary record to enable estimation of the nutrient content of his or her usual diet. During the study periods, dietary compliance was assessed by evaluation of 2-day dietary records. Figure 1 shows the study design and outcome assessments. We performed a post hoc analysis of a randomized active-controlled crossover single-center clinical trial in which we randomly assigned participants (at an allocation ratio of 1:1) to receive a very-low-phosphorus diet with a PPR of 8 mg/g or a low-phosphorus diet with a PPR of 10 mg/g [18]. Within each 9-day period, each patient consumed each study diet regimen for 2 days; the order of the diets was random, and the two diets were separated by a 5-day washout period. The study protocol, sample size calculation method, and primary outcomes have previously been published in detail [18]. The original study was approved by the institutional review board at Far Eastern Memorial Hospital (FEMH-106108-F) and was registered online before study initiation (ClinicalTrials.gov ID = NCT03367338). Study design and outcome assessments. Participants were randomly assigned to receive study diet A (with a phosphorus-to-protein ratio [PPR] of 8 mg/g) or study diet B (with a PPR of 10 mg/g) during 2-day study periods separated by a 5-day washout period. A total of 4 repeated measurements for the study outcomes were attained before and after each study period. Before each study phase, each participant kept a 3-day dietary record to enable estimation of the nutrient content of his or her usual diet. During the study periods, dietary compliance was assessed by evaluation of 2-day dietary records. Study population Subjects with (1) ages greater than 20 years, (2) ESKD and a history of thrice-weekly hemodialysis for more than three months, (3) adequate dialysis (urea reduction ratios [URRs] equal to or greater than 65%), (4) most recent serum phosphate levels greater than 5.5 mg/dL or between 3.5 and 5.5 mg/dL with regular phosphate binder use, (5) serum intact parathyroid hormone (iPTH) levels less than 800 pg/mL, and (6) dry weights between 42.5 kg and 67.5 kg were included in the study. The exclusion criteria included serum albumin levels less than 2.5 g/dL, hospitalization within the past 4 weeks, psychiatric disorders, mental retardation, dislike of the study meals and poor dietary adherence. All participants provided written informed consent. We enrolled 35 patients, of whom 34 completed the first study period and 29 completed the second study period, contributing the relevant data for the present analysis. Subjects with (1) ages greater than 20 years, (2) ESKD and a history of thrice-weekly hemodialysis for more than three months, (3) adequate dialysis (urea reduction ratios [URRs] equal to or greater than 65%), (4) most recent serum phosphate levels greater than 5.5 mg/dL or between 3.5 and 5.5 mg/dL with regular phosphate binder use, (5) serum intact parathyroid hormone (iPTH) levels less than 800 pg/mL, and (6) dry weights between 42.5 kg and 67.5 kg were included in the study. The exclusion criteria included serum albumin levels less than 2.5 g/dL, hospitalization within the past 4 weeks, psychiatric disorders, mental retardation, dislike of the study meals and poor dietary adherence. All participants provided written informed consent. We enrolled 35 patients, of whom 34 completed the first study period and 29 completed the second study period, contributing the relevant data for the present analysis. Dietary assessment The daily dietary intake of participants was estimated at baseline and during the study periods. The dietitians educated the participants and instructed them to complete standard daily food-recording forms with entries on the meal time, meal type, brand of food, amount of food in standard measuring units, preparation style (homemade or not), and recipe. Before each study period, the participants prospectively maintained a dietary record of their daily intake for three days, including a dialysis weekday, a non-dialysis weekday and a non-dialysis weekend day, allowing us to estimate the nutrient content of their usual diet as well as their dietary compliance. As described in our previous study [18], the nutrient compositions of the study diets were chemically measured and used by dietitians to calculate the daily nutrient intake of the participants during the study periods. In addition, the participants maintained a 2-day dietary record of their consumption of portions of the assigned study diets and of foods outside of the study diets during the study periods. The completeness, consistency, and clarity of the food diaries were reviewed by the dietitians. The daily dietary intake of participants was estimated at baseline and during the study periods. The dietitians educated the participants and instructed them to complete standard daily food-recording forms with entries on the meal time, meal type, brand of food, amount of food in standard measuring units, preparation style (homemade or not), and recipe. Before each study period, the participants prospectively maintained a dietary record of their daily intake for three days, including a dialysis weekday, a non-dialysis weekday and a non-dialysis weekend day, allowing us to estimate the nutrient content of their usual diet as well as their dietary compliance. As described in our previous study [18], the nutrient compositions of the study diets were chemically measured and used by dietitians to calculate the daily nutrient intake of the participants during the study periods. In addition, the participants maintained a 2-day dietary record of their consumption of portions of the assigned study diets and of foods outside of the study diets during the study periods. The completeness, consistency, and clarity of the food diaries were reviewed by the dietitians. Clinical data collection The following demographic and clinical data were recorded: age; sex; dry weight; body mass index; duration of dialysis therapy; history of parathyroidectomy; interdialytic weight gain; dialysis unit blood pressure; type of arteriovenous shunt; dialysate calcium concentration; URR; hemoglobin; ferritin; alkaline phosphatase; albumin; 25-hydroxyvitamin D; and amounts, frequencies, and types of medications, including phosphate-binding agents and vitamin D analogs. The phosphate binder doses among study participants were compared by calculating the phosphate-binding equivalent dose as described by Daugirdas [21]. The following demographic and clinical data were recorded: age; sex; dry weight; body mass index; duration of dialysis therapy; history of parathyroidectomy; interdialytic weight gain; dialysis unit blood pressure; type of arteriovenous shunt; dialysate calcium concentration; URR; hemoglobin; ferritin; alkaline phosphatase; albumin; 25-hydroxyvitamin D; and amounts, frequencies, and types of medications, including phosphate-binding agents and vitamin D analogs. The phosphate binder doses among study participants were compared by calculating the phosphate-binding equivalent dose as described by Daugirdas [21]. Biochemical assessment Venous blood samples were taken under nonfasting conditions prior to the dialysis session at the beginning and end of each study period. Standard assays for serum phosphate and calcium were performed using automated analyzers. iPTH (reference range 8–76 pg/mL) was analyzed in serum using an immunoradiometric assay (ELSA-PTH, Cisbio Bioassays, France); the intra- and interassay coefficients of variation (CVs) ranged from 2.1 to 7.5% and from 2.7 to 6.8%, respectively. 25-Hydroxyvitamin D (reference range 5.3–47 ng/mL) was analyzed in serum using an electrochemiluminescence immunoassay analyzer (ECLIA) (Roche Diagnostics GmbH, Germany); the intra- and interassay CVs ranged from 2.2 to 6.8% and from 3.4 to 13.1%, respectively. In light of the absence of any standardized commercial FGF23 assays, we simultaneously performed two available FGF23 assays: an assay for intact FGF23 (iFGF23) and an assay for C-terminal fragments of FGF23 (cFGF23). iFGF23 was assessed in serum using an enzyme-linked immunosorbent assay (ELISA) (Kainos Laboratories, Tokyo, Japan); the intra- and interassay CVs ranged from 2.0 to 3.0% and from 2.1 to 3.8%, respectively. cFGF23 was assessed in EDTA-plasma using a sandwich ELISA (Immutopics, San Clemente, CA) according to the manufacturer’s instructions; the intra- and interassay CVs ranged from 1.4 to 2.4% and from 2.4 to 4.7%, respectively. Each sample was run in duplicate, and the mean values are presented. Venous blood samples were taken under nonfasting conditions prior to the dialysis session at the beginning and end of each study period. Standard assays for serum phosphate and calcium were performed using automated analyzers. iPTH (reference range 8–76 pg/mL) was analyzed in serum using an immunoradiometric assay (ELSA-PTH, Cisbio Bioassays, France); the intra- and interassay coefficients of variation (CVs) ranged from 2.1 to 7.5% and from 2.7 to 6.8%, respectively. 25-Hydroxyvitamin D (reference range 5.3–47 ng/mL) was analyzed in serum using an electrochemiluminescence immunoassay analyzer (ECLIA) (Roche Diagnostics GmbH, Germany); the intra- and interassay CVs ranged from 2.2 to 6.8% and from 3.4 to 13.1%, respectively. In light of the absence of any standardized commercial FGF23 assays, we simultaneously performed two available FGF23 assays: an assay for intact FGF23 (iFGF23) and an assay for C-terminal fragments of FGF23 (cFGF23). iFGF23 was assessed in serum using an enzyme-linked immunosorbent assay (ELISA) (Kainos Laboratories, Tokyo, Japan); the intra- and interassay CVs ranged from 2.0 to 3.0% and from 2.1 to 3.8%, respectively. cFGF23 was assessed in EDTA-plasma using a sandwich ELISA (Immutopics, San Clemente, CA) according to the manufacturer’s instructions; the intra- and interassay CVs ranged from 1.4 to 2.4% and from 2.4 to 4.7%, respectively. Each sample was run in duplicate, and the mean values are presented. Statistical analysis Analyses were conducted on data from 34 individuals in the first study period and 29 in the second study period for whom samples were available for dietary assessment and measurement of mineral parameters. To evaluate the relationship between dietary phosphorus intake and the levels of mineral markers, including serum phosphate, calcium, iPTH, iFGF23 and cFGF23, we employed separate mixed-effects models, which allowed us to use a total of 4 repeated measurements for each of the outcome variables of interest. In each mixed-effects model, the dependent variable was one of the markers of mineral metabolism, the participant was included as a random effect, and the main independent variable was dietary phosphorus intake of 100 mg. In contrast to serum phosphate and calcium, which were normally distributed, iPTH, iFGF23 and cFGF23 were non-normally distributed and were thus log-transformed before being entered into the model, and the estimated means and 95% confidence intervals (CIs) are presented as percentage changes, as suggested by Benoit [22]. For each of the outcome analyses, we used 4 types of models based on the level of multivariate adjustment: model 1 included dietary phosphorus as the only independent variable; model 2 included the additional covariates of age, sex, body mass index, and randomized group; model 3 included the additional covariates of baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose; and model 4 included all of the abovementioned covariates plus 2 dietary record data items: total calorie intake and dietary calcium intake. A two-sided p value of less than .05 was considered to indicate statistical significance. All analyses were performed with SAS version 9.4 software (SAS Institute Inc., Cary, NC, USA). Analyses were conducted on data from 34 individuals in the first study period and 29 in the second study period for whom samples were available for dietary assessment and measurement of mineral parameters. To evaluate the relationship between dietary phosphorus intake and the levels of mineral markers, including serum phosphate, calcium, iPTH, iFGF23 and cFGF23, we employed separate mixed-effects models, which allowed us to use a total of 4 repeated measurements for each of the outcome variables of interest. In each mixed-effects model, the dependent variable was one of the markers of mineral metabolism, the participant was included as a random effect, and the main independent variable was dietary phosphorus intake of 100 mg. In contrast to serum phosphate and calcium, which were normally distributed, iPTH, iFGF23 and cFGF23 were non-normally distributed and were thus log-transformed before being entered into the model, and the estimated means and 95% confidence intervals (CIs) are presented as percentage changes, as suggested by Benoit [22]. For each of the outcome analyses, we used 4 types of models based on the level of multivariate adjustment: model 1 included dietary phosphorus as the only independent variable; model 2 included the additional covariates of age, sex, body mass index, and randomized group; model 3 included the additional covariates of baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose; and model 4 included all of the abovementioned covariates plus 2 dietary record data items: total calorie intake and dietary calcium intake. A two-sided p value of less than .05 was considered to indicate statistical significance. All analyses were performed with SAS version 9.4 software (SAS Institute Inc., Cary, NC, USA).
Results
Baseline characteristics Table 1 presents the baseline characteristics of the 34 participants included in the present post hoc analysis. The mean age of the participants was 64 ± 7 years, 38% of the participants were men, and the mean dialysis vintage was 10 ± 7 years. The mean dry weight was 55 ± 7 kg, and the interdialytic weight gain was 2.1 (1.7, 2.6) kg. Approximately 90% of participants had arteriovenous fistulae, and approximately 60% used low dialysate calcium. Baseline demographic and clinical characteristics. 25OHVitD: 25-hydroxy vitamin D; AVF: arteriovenous fistula; BP: blood pressure; cFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone. Continuous data are shown as means (±SDs) or median (1st and 3rd quartiles), and categorical variables as counts and percentages. aLow dialysate calcium means a dialysate calcium concentration of ≤ 2.5 mEq/L. Table 1 presents the baseline characteristics of the 34 participants included in the present post hoc analysis. The mean age of the participants was 64 ± 7 years, 38% of the participants were men, and the mean dialysis vintage was 10 ± 7 years. The mean dry weight was 55 ± 7 kg, and the interdialytic weight gain was 2.1 (1.7, 2.6) kg. Approximately 90% of participants had arteriovenous fistulae, and approximately 60% used low dialysate calcium. Baseline demographic and clinical characteristics. 25OHVitD: 25-hydroxy vitamin D; AVF: arteriovenous fistula; BP: blood pressure; cFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone. Continuous data are shown as means (±SDs) or median (1st and 3rd quartiles), and categorical variables as counts and percentages. aLow dialysate calcium means a dialysate calcium concentration of ≤ 2.5 mEq/L. Changes in dietary record data and changes in markers of mineral metabolism Table 2 describes the dietary record data and the levels of mineral markers at baseline and at the end of each study period. At baseline, the mean total calorie intake of the participants was 1558 ± 295 kcal per day, the mean dietary phosphorus intake was 763 ± 289 mg per day, and the mean dietary calcium intake was 284 ± 128 mg per day. Prior to dietary intervention, the mean serum phosphate was 5.0 ± 1.1 mg/dL, the mean serum calcium was 9.2 ± 0.7 mg/dL, the median iPTH was 124 (65, 325) pg/mL, the median iFGF23 was 2996 (506, 9821) pg/mL, and the median cFGF23 was 5750 (1698, 12539) RU/mL. Compared with the baseline data, dietary phosphorus intake decreased and dietary calcium intake increased during the study periods. The participants exhibited reductions in serum phosphate, iPTH and iFGF23 levels and increases in calcium levels after each of the dietary interventions, whereas they exhibited progressive decreases in cFGF23 levels throughout the 9-day study period. Changes in dietary and serum mineral parameters in the study population. cFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone. aWe calculated a 3-day average value for the estimated daily dietary intake before the study. bWe calculated a 2-day average value for the estimated dietary intake during the study period. Table 2 describes the dietary record data and the levels of mineral markers at baseline and at the end of each study period. At baseline, the mean total calorie intake of the participants was 1558 ± 295 kcal per day, the mean dietary phosphorus intake was 763 ± 289 mg per day, and the mean dietary calcium intake was 284 ± 128 mg per day. Prior to dietary intervention, the mean serum phosphate was 5.0 ± 1.1 mg/dL, the mean serum calcium was 9.2 ± 0.7 mg/dL, the median iPTH was 124 (65, 325) pg/mL, the median iFGF23 was 2996 (506, 9821) pg/mL, and the median cFGF23 was 5750 (1698, 12539) RU/mL. Compared with the baseline data, dietary phosphorus intake decreased and dietary calcium intake increased during the study periods. The participants exhibited reductions in serum phosphate, iPTH and iFGF23 levels and increases in calcium levels after each of the dietary interventions, whereas they exhibited progressive decreases in cFGF23 levels throughout the 9-day study period. Changes in dietary and serum mineral parameters in the study population. cFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone. aWe calculated a 3-day average value for the estimated daily dietary intake before the study. bWe calculated a 2-day average value for the estimated dietary intake during the study period. Relationships between dietary phosphorus intake and markers of mineral metabolism Table 3 demonstrates the relationships between dietary phosphorus intake and markers of mineral metabolism. Higher dietary phosphorus intake was strongly correlated with a higher serum phosphate level in models 1 (the univariate model) through 4 (the fully adjusted model); multivariate adjustment did not mitigate the positive association between dietary phosphorus intake and serum phosphate level. Every increase in dietary phosphorus intake of 100 mg was significantly related to an increase in serum phosphate level of 0.28 mg/dL (95% CI, 0.21–0.35, p < .001). In contrast, there was an inverse correlation between dietary phosphorus intake and serum calcium level; an increase in dietary phosphorus intake of 100 mg was significantly related to a decrease in serum calcium level of 0.06 mg/dL (95% CI, −0.11 to −0.01, p = .01) in the fully adjusted model. Associations between an increase in dietary phosphorus intake of 100 mg and changes in serum mineral parameters. cFGF23: C-terminal fibroblast growth factor 23; CI: confidence intervals; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone; URR: urea reduction ratio. aUnivariate model. bThe adjusted variables included age, sex, body mass index, and randomized group. cThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose. dThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, phosphate-binding equivalent dose, total calorie intake, and dietary calcium intake. For log-transformed variables including iPTH, iFGF23 and cFGF23, the estimates are presented as percentage changes for every 100 mg increase in dietary phosphorus intake. The iPTH level increased in response to elevated dietary phosphorus intake; in the fully adjusted model, an increase in dietary phosphorus intake of 100 mg was significantly correlated with an increase in the iPTH level of 5.4% (95% CI, 1.4–9.3, p = .01). Similarly, the iFGF23 level increased as dietary phosphorus intake increased; there was a significant association in both the unadjusted and adjusted models. An increase in dietary phosphorus intake of 100 mg was significantly related to an increase in iFGF23 level of 5.0% (95% CI, 2.0–8.0, p = .001). In contrast to the levels of the abovementioned mineral markers, the cFGF23 level did not change in response to variations in dietary phosphorus intake. Table 3 demonstrates the relationships between dietary phosphorus intake and markers of mineral metabolism. Higher dietary phosphorus intake was strongly correlated with a higher serum phosphate level in models 1 (the univariate model) through 4 (the fully adjusted model); multivariate adjustment did not mitigate the positive association between dietary phosphorus intake and serum phosphate level. Every increase in dietary phosphorus intake of 100 mg was significantly related to an increase in serum phosphate level of 0.28 mg/dL (95% CI, 0.21–0.35, p < .001). In contrast, there was an inverse correlation between dietary phosphorus intake and serum calcium level; an increase in dietary phosphorus intake of 100 mg was significantly related to a decrease in serum calcium level of 0.06 mg/dL (95% CI, −0.11 to −0.01, p = .01) in the fully adjusted model. Associations between an increase in dietary phosphorus intake of 100 mg and changes in serum mineral parameters. cFGF23: C-terminal fibroblast growth factor 23; CI: confidence intervals; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone; URR: urea reduction ratio. aUnivariate model. bThe adjusted variables included age, sex, body mass index, and randomized group. cThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose. dThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, phosphate-binding equivalent dose, total calorie intake, and dietary calcium intake. For log-transformed variables including iPTH, iFGF23 and cFGF23, the estimates are presented as percentage changes for every 100 mg increase in dietary phosphorus intake. The iPTH level increased in response to elevated dietary phosphorus intake; in the fully adjusted model, an increase in dietary phosphorus intake of 100 mg was significantly correlated with an increase in the iPTH level of 5.4% (95% CI, 1.4–9.3, p = .01). Similarly, the iFGF23 level increased as dietary phosphorus intake increased; there was a significant association in both the unadjusted and adjusted models. An increase in dietary phosphorus intake of 100 mg was significantly related to an increase in iFGF23 level of 5.0% (95% CI, 2.0–8.0, p = .001). In contrast to the levels of the abovementioned mineral markers, the cFGF23 level did not change in response to variations in dietary phosphorus intake.
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[ "Study design", "Study population", "Dietary assessment", "Clinical data collection", "Biochemical assessment", "Statistical analysis", "Baseline characteristics", "Changes in dietary record data and changes in markers of mineral metabolism", "Relationships between dietary phosphorus intake and markers of mineral metabolism" ]
[ "Figure 1 shows the study design and outcome assessments. We performed a post hoc analysis of a randomized active-controlled crossover single-center clinical trial in which we randomly assigned participants (at an allocation ratio of 1:1) to receive a very-low-phosphorus diet with a PPR of 8 mg/g or a low-phosphorus diet with a PPR of 10 mg/g [18]. Within each 9-day period, each patient consumed each study diet regimen for 2 days; the order of the diets was random, and the two diets were separated by a 5-day washout period. The study protocol, sample size calculation method, and primary outcomes have previously been published in detail [18]. The original study was approved by the institutional review board at Far Eastern Memorial Hospital (FEMH-106108-F) and was registered online before study initiation (ClinicalTrials.gov ID = NCT03367338).\nStudy design and outcome assessments. Participants were randomly assigned to receive study diet A (with a phosphorus-to-protein ratio [PPR] of 8 mg/g) or study diet B (with a PPR of 10 mg/g) during 2-day study periods separated by a 5-day washout period. A total of 4 repeated measurements for the study outcomes were attained before and after each study period. Before each study phase, each participant kept a 3-day dietary record to enable estimation of the nutrient content of his or her usual diet. During the study periods, dietary compliance was assessed by evaluation of 2-day dietary records.", "Subjects with (1) ages greater than 20 years, (2) ESKD and a history of thrice-weekly hemodialysis for more than three months, (3) adequate dialysis (urea reduction ratios [URRs] equal to or greater than 65%), (4) most recent serum phosphate levels greater than 5.5 mg/dL or between 3.5 and 5.5 mg/dL with regular phosphate binder use, (5) serum intact parathyroid hormone (iPTH) levels less than 800 pg/mL, and (6) dry weights between 42.5 kg and 67.5 kg were included in the study. The exclusion criteria included serum albumin levels less than 2.5 g/dL, hospitalization within the past 4 weeks, psychiatric disorders, mental retardation, dislike of the study meals and poor dietary adherence. All participants provided written informed consent. We enrolled 35 patients, of whom 34 completed the first study period and 29 completed the second study period, contributing the relevant data for the present analysis.", "The daily dietary intake of participants was estimated at baseline and during the study periods. The dietitians educated the participants and instructed them to complete standard daily food-recording forms with entries on the meal time, meal type, brand of food, amount of food in standard measuring units, preparation style (homemade or not), and recipe. Before each study period, the participants prospectively maintained a dietary record of their daily intake for three days, including a dialysis weekday, a non-dialysis weekday and a non-dialysis weekend day, allowing us to estimate the nutrient content of their usual diet as well as their dietary compliance.\nAs described in our previous study [18], the nutrient compositions of the study diets were chemically measured and used by dietitians to calculate the daily nutrient intake of the participants during the study periods. In addition, the participants maintained a 2-day dietary record of their consumption of portions of the assigned study diets and of foods outside of the study diets during the study periods. The completeness, consistency, and clarity of the food diaries were reviewed by the dietitians.", "The following demographic and clinical data were recorded: age; sex; dry weight; body mass index; duration of dialysis therapy; history of parathyroidectomy; interdialytic weight gain; dialysis unit blood pressure; type of arteriovenous shunt; dialysate calcium concentration; URR; hemoglobin; ferritin; alkaline phosphatase; albumin; 25-hydroxyvitamin D; and amounts, frequencies, and types of medications, including phosphate-binding agents and vitamin D analogs. The phosphate binder doses among study participants were compared by calculating the phosphate-binding equivalent dose as described by Daugirdas [21].", "Venous blood samples were taken under nonfasting conditions prior to the dialysis session at the beginning and end of each study period. Standard assays for serum phosphate and calcium were performed using automated analyzers. iPTH (reference range 8–76 pg/mL) was analyzed in serum using an immunoradiometric assay (ELSA-PTH, Cisbio Bioassays, France); the intra- and interassay coefficients of variation (CVs) ranged from 2.1 to 7.5% and from 2.7 to 6.8%, respectively. 25-Hydroxyvitamin D (reference range 5.3–47 ng/mL) was analyzed in serum using an electrochemiluminescence immunoassay analyzer (ECLIA) (Roche Diagnostics GmbH, Germany); the intra- and interassay CVs ranged from 2.2 to 6.8% and from 3.4 to 13.1%, respectively. In light of the absence of any standardized commercial FGF23 assays, we simultaneously performed two available FGF23 assays: an assay for intact FGF23 (iFGF23) and an assay for C-terminal fragments of FGF23 (cFGF23). iFGF23 was assessed in serum using an enzyme-linked immunosorbent assay (ELISA) (Kainos Laboratories, Tokyo, Japan); the intra- and interassay CVs ranged from 2.0 to 3.0% and from 2.1 to 3.8%, respectively. cFGF23 was assessed in EDTA-plasma using a sandwich ELISA (Immutopics, San Clemente, CA) according to the manufacturer’s instructions; the intra- and interassay CVs ranged from 1.4 to 2.4% and from 2.4 to 4.7%, respectively. Each sample was run in duplicate, and the mean values are presented.", "Analyses were conducted on data from 34 individuals in the first study period and 29 in the second study period for whom samples were available for dietary assessment and measurement of mineral parameters. To evaluate the relationship between dietary phosphorus intake and the levels of mineral markers, including serum phosphate, calcium, iPTH, iFGF23 and cFGF23, we employed separate mixed-effects models, which allowed us to use a total of 4 repeated measurements for each of the outcome variables of interest. In each mixed-effects model, the dependent variable was one of the markers of mineral metabolism, the participant was included as a random effect, and the main independent variable was dietary phosphorus intake of 100 mg. In contrast to serum phosphate and calcium, which were normally distributed, iPTH, iFGF23 and cFGF23 were non-normally distributed and were thus log-transformed before being entered into the model, and the estimated means and 95% confidence intervals (CIs) are presented as percentage changes, as suggested by Benoit [22].\nFor each of the outcome analyses, we used 4 types of models based on the level of multivariate adjustment: model 1 included dietary phosphorus as the only independent variable; model 2 included the additional covariates of age, sex, body mass index, and randomized group; model 3 included the additional covariates of baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose; and model 4 included all of the abovementioned covariates plus 2 dietary record data items: total calorie intake and dietary calcium intake. A two-sided p value of less than .05 was considered to indicate statistical significance. All analyses were performed with SAS version 9.4 software (SAS Institute Inc., Cary, NC, USA).", "Table 1 presents the baseline characteristics of the 34 participants included in the present post hoc analysis. The mean age of the participants was 64 ± 7 years, 38% of the participants were men, and the mean dialysis vintage was 10 ± 7 years. The mean dry weight was 55 ± 7 kg, and the interdialytic weight gain was 2.1 (1.7, 2.6) kg. Approximately 90% of participants had arteriovenous fistulae, and approximately 60% used low dialysate calcium.\nBaseline demographic and clinical characteristics.\n25OHVitD: 25-hydroxy vitamin D; AVF: arteriovenous fistula; BP: blood pressure; cFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone. Continuous data are shown as means (±SDs) or median (1st and 3rd quartiles), and categorical variables as counts and percentages.\naLow dialysate calcium means a dialysate calcium concentration of ≤ 2.5 mEq/L.", "Table 2 describes the dietary record data and the levels of mineral markers at baseline and at the end of each study period. At baseline, the mean total calorie intake of the participants was 1558 ± 295 kcal per day, the mean dietary phosphorus intake was 763 ± 289 mg per day, and the mean dietary calcium intake was 284 ± 128 mg per day. Prior to dietary intervention, the mean serum phosphate was 5.0 ± 1.1 mg/dL, the mean serum calcium was 9.2 ± 0.7 mg/dL, the median iPTH was 124 (65, 325) pg/mL, the median iFGF23 was 2996 (506, 9821) pg/mL, and the median cFGF23 was 5750 (1698, 12539) RU/mL. Compared with the baseline data, dietary phosphorus intake decreased and dietary calcium intake increased during the study periods. The participants exhibited reductions in serum phosphate, iPTH and iFGF23 levels and increases in calcium levels after each of the dietary interventions, whereas they exhibited progressive decreases in cFGF23 levels throughout the 9-day study period.\nChanges in dietary and serum mineral parameters in the study population.\ncFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone.\naWe calculated a 3-day average value for the estimated daily dietary intake before the study.\nbWe calculated a 2-day average value for the estimated dietary intake during the study period.", "Table 3 demonstrates the relationships between dietary phosphorus intake and markers of mineral metabolism. Higher dietary phosphorus intake was strongly correlated with a higher serum phosphate level in models 1 (the univariate model) through 4 (the fully adjusted model); multivariate adjustment did not mitigate the positive association between dietary phosphorus intake and serum phosphate level. Every increase in dietary phosphorus intake of 100 mg was significantly related to an increase in serum phosphate level of 0.28 mg/dL (95% CI, 0.21–0.35, p < .001). In contrast, there was an inverse correlation between dietary phosphorus intake and serum calcium level; an increase in dietary phosphorus intake of 100 mg was significantly related to a decrease in serum calcium level of 0.06 mg/dL (95% CI, −0.11 to −0.01, p = .01) in the fully adjusted model.\nAssociations between an increase in dietary phosphorus intake of 100 mg and changes in serum mineral parameters.\ncFGF23: C-terminal fibroblast growth factor 23; CI: confidence intervals; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone; URR: urea reduction ratio.\naUnivariate model.\nbThe adjusted variables included age, sex, body mass index, and randomized group.\ncThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose.\ndThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, phosphate-binding equivalent dose, total calorie intake, and dietary calcium intake.\nFor log-transformed variables including iPTH, iFGF23 and cFGF23, the estimates are presented as percentage changes for every 100 mg increase in dietary phosphorus intake. The iPTH level increased in response to elevated dietary phosphorus intake; in the fully adjusted model, an increase in dietary phosphorus intake of 100 mg was significantly correlated with an increase in the iPTH level of 5.4% (95% CI, 1.4–9.3, p = .01). Similarly, the iFGF23 level increased as dietary phosphorus intake increased; there was a significant association in both the unadjusted and adjusted models. An increase in dietary phosphorus intake of 100 mg was significantly related to an increase in iFGF23 level of 5.0% (95% CI, 2.0–8.0, p = .001). In contrast to the levels of the abovementioned mineral markers, the cFGF23 level did not change in response to variations in dietary phosphorus intake." ]
[ null, null, null, null, null, null, null, null, null ]
[ "Introduction", "Methods", "Study design", "Study population", "Dietary assessment", "Clinical data collection", "Biochemical assessment", "Statistical analysis", "Results", "Baseline characteristics", "Changes in dietary record data and changes in markers of mineral metabolism", "Relationships between dietary phosphorus intake and markers of mineral metabolism", "Discussion" ]
[ "Chronic kidney disease-mineral and bone disorder (CKD-MBD) is very common in patients with end-stage kidney disease (ESKD), and emerging evidence suggests that mineral metabolism disorders, including hyperphosphatemia, fibroblast growth factor 23 (FGF23) excess, and secondary hyperparathyroidism, contribute to the high rates of adverse cardiovascular outcomes and premature death [1–4]. Phosphate retention plays an important role in the development of CKD-MBD [5,6]. In addition to adequate dialysis and pharmaceutical treatments, dietary phosphorus restriction has long been a cornerstone of therapy and is a recommended way to ameliorate phosphate retention [7–9]. Animal studies have demonstrated that dietary phosphorus regulates mineral metabolism markers [10–12]. In addition, in human studies, dietary phosphorus has been found to acutely change mineral parameters [13,14]. Previous clinical studies assessing the relationship between dietary phosphorus restriction and CKD-MBD marker levels have focused on non-dialysis populations [15,16]. There is scant evidence to suggest that dietary phosphorus restriction positively affects CKD-MBD markers in patients with CKD [17]. For hemodialysis patients, who have limited compensatory mechanisms to maintain normal phosphate levels and thus have high hyperphosphatemia rates and elevated FGF23 levels, little is known about the association between acute changes in dietary phosphorus and changes in these mineral markers, especially FGF23 [15].\nIn a previous randomized active-controlled crossover trial conducted on ESKD patients receiving hemodialysis, we found no benefit of a 2-day dietary intervention with a very-low-phosphorus diet (8 mg/g phosphorus-to-protein ratio, PPR) compared with a low-phosphorus diet (10 mg/g PPR) on the outcome of an FGF23 change from baseline [18,19]. However, serum intact FGF23 levels were lower than the baseline in both diet groups. In addition, a greater reduction in serum phosphate level and a greater increase in serum calcium level were found in the 8 mg/g diet group than in the 10 mg/g diet group. Based on these observations, we hypothesized that elevated dietary phosphorus intake acutely and negatively affects markers of mineral metabolism. For clinical application, there is concerned that day-to-day variations in nutritional intake may not be captured by current dialysis practice, which adopted monthly assessment of laboratory measures, and these snapshots of laboratory values are potentially misinterpreted and occasionally of questionable relevance [20]. In order to examine the relationship between dietary phosphorus intake and serum mineral parameters, a post hoc analysis was conducted on existing data from our previous study to evaluate the short-term effects of dietary phosphorus intake on markers of mineral metabolism in patients with ESKD undergoing hemodialysis.", "Study design Figure 1 shows the study design and outcome assessments. We performed a post hoc analysis of a randomized active-controlled crossover single-center clinical trial in which we randomly assigned participants (at an allocation ratio of 1:1) to receive a very-low-phosphorus diet with a PPR of 8 mg/g or a low-phosphorus diet with a PPR of 10 mg/g [18]. Within each 9-day period, each patient consumed each study diet regimen for 2 days; the order of the diets was random, and the two diets were separated by a 5-day washout period. The study protocol, sample size calculation method, and primary outcomes have previously been published in detail [18]. The original study was approved by the institutional review board at Far Eastern Memorial Hospital (FEMH-106108-F) and was registered online before study initiation (ClinicalTrials.gov ID = NCT03367338).\nStudy design and outcome assessments. Participants were randomly assigned to receive study diet A (with a phosphorus-to-protein ratio [PPR] of 8 mg/g) or study diet B (with a PPR of 10 mg/g) during 2-day study periods separated by a 5-day washout period. A total of 4 repeated measurements for the study outcomes were attained before and after each study period. Before each study phase, each participant kept a 3-day dietary record to enable estimation of the nutrient content of his or her usual diet. During the study periods, dietary compliance was assessed by evaluation of 2-day dietary records.\nFigure 1 shows the study design and outcome assessments. We performed a post hoc analysis of a randomized active-controlled crossover single-center clinical trial in which we randomly assigned participants (at an allocation ratio of 1:1) to receive a very-low-phosphorus diet with a PPR of 8 mg/g or a low-phosphorus diet with a PPR of 10 mg/g [18]. Within each 9-day period, each patient consumed each study diet regimen for 2 days; the order of the diets was random, and the two diets were separated by a 5-day washout period. The study protocol, sample size calculation method, and primary outcomes have previously been published in detail [18]. The original study was approved by the institutional review board at Far Eastern Memorial Hospital (FEMH-106108-F) and was registered online before study initiation (ClinicalTrials.gov ID = NCT03367338).\nStudy design and outcome assessments. Participants were randomly assigned to receive study diet A (with a phosphorus-to-protein ratio [PPR] of 8 mg/g) or study diet B (with a PPR of 10 mg/g) during 2-day study periods separated by a 5-day washout period. A total of 4 repeated measurements for the study outcomes were attained before and after each study period. Before each study phase, each participant kept a 3-day dietary record to enable estimation of the nutrient content of his or her usual diet. During the study periods, dietary compliance was assessed by evaluation of 2-day dietary records.\nStudy population Subjects with (1) ages greater than 20 years, (2) ESKD and a history of thrice-weekly hemodialysis for more than three months, (3) adequate dialysis (urea reduction ratios [URRs] equal to or greater than 65%), (4) most recent serum phosphate levels greater than 5.5 mg/dL or between 3.5 and 5.5 mg/dL with regular phosphate binder use, (5) serum intact parathyroid hormone (iPTH) levels less than 800 pg/mL, and (6) dry weights between 42.5 kg and 67.5 kg were included in the study. The exclusion criteria included serum albumin levels less than 2.5 g/dL, hospitalization within the past 4 weeks, psychiatric disorders, mental retardation, dislike of the study meals and poor dietary adherence. All participants provided written informed consent. We enrolled 35 patients, of whom 34 completed the first study period and 29 completed the second study period, contributing the relevant data for the present analysis.\nSubjects with (1) ages greater than 20 years, (2) ESKD and a history of thrice-weekly hemodialysis for more than three months, (3) adequate dialysis (urea reduction ratios [URRs] equal to or greater than 65%), (4) most recent serum phosphate levels greater than 5.5 mg/dL or between 3.5 and 5.5 mg/dL with regular phosphate binder use, (5) serum intact parathyroid hormone (iPTH) levels less than 800 pg/mL, and (6) dry weights between 42.5 kg and 67.5 kg were included in the study. The exclusion criteria included serum albumin levels less than 2.5 g/dL, hospitalization within the past 4 weeks, psychiatric disorders, mental retardation, dislike of the study meals and poor dietary adherence. All participants provided written informed consent. We enrolled 35 patients, of whom 34 completed the first study period and 29 completed the second study period, contributing the relevant data for the present analysis.\nDietary assessment The daily dietary intake of participants was estimated at baseline and during the study periods. The dietitians educated the participants and instructed them to complete standard daily food-recording forms with entries on the meal time, meal type, brand of food, amount of food in standard measuring units, preparation style (homemade or not), and recipe. Before each study period, the participants prospectively maintained a dietary record of their daily intake for three days, including a dialysis weekday, a non-dialysis weekday and a non-dialysis weekend day, allowing us to estimate the nutrient content of their usual diet as well as their dietary compliance.\nAs described in our previous study [18], the nutrient compositions of the study diets were chemically measured and used by dietitians to calculate the daily nutrient intake of the participants during the study periods. In addition, the participants maintained a 2-day dietary record of their consumption of portions of the assigned study diets and of foods outside of the study diets during the study periods. The completeness, consistency, and clarity of the food diaries were reviewed by the dietitians.\nThe daily dietary intake of participants was estimated at baseline and during the study periods. The dietitians educated the participants and instructed them to complete standard daily food-recording forms with entries on the meal time, meal type, brand of food, amount of food in standard measuring units, preparation style (homemade or not), and recipe. Before each study period, the participants prospectively maintained a dietary record of their daily intake for three days, including a dialysis weekday, a non-dialysis weekday and a non-dialysis weekend day, allowing us to estimate the nutrient content of their usual diet as well as their dietary compliance.\nAs described in our previous study [18], the nutrient compositions of the study diets were chemically measured and used by dietitians to calculate the daily nutrient intake of the participants during the study periods. In addition, the participants maintained a 2-day dietary record of their consumption of portions of the assigned study diets and of foods outside of the study diets during the study periods. The completeness, consistency, and clarity of the food diaries were reviewed by the dietitians.\nClinical data collection The following demographic and clinical data were recorded: age; sex; dry weight; body mass index; duration of dialysis therapy; history of parathyroidectomy; interdialytic weight gain; dialysis unit blood pressure; type of arteriovenous shunt; dialysate calcium concentration; URR; hemoglobin; ferritin; alkaline phosphatase; albumin; 25-hydroxyvitamin D; and amounts, frequencies, and types of medications, including phosphate-binding agents and vitamin D analogs. The phosphate binder doses among study participants were compared by calculating the phosphate-binding equivalent dose as described by Daugirdas [21].\nThe following demographic and clinical data were recorded: age; sex; dry weight; body mass index; duration of dialysis therapy; history of parathyroidectomy; interdialytic weight gain; dialysis unit blood pressure; type of arteriovenous shunt; dialysate calcium concentration; URR; hemoglobin; ferritin; alkaline phosphatase; albumin; 25-hydroxyvitamin D; and amounts, frequencies, and types of medications, including phosphate-binding agents and vitamin D analogs. The phosphate binder doses among study participants were compared by calculating the phosphate-binding equivalent dose as described by Daugirdas [21].\nBiochemical assessment Venous blood samples were taken under nonfasting conditions prior to the dialysis session at the beginning and end of each study period. Standard assays for serum phosphate and calcium were performed using automated analyzers. iPTH (reference range 8–76 pg/mL) was analyzed in serum using an immunoradiometric assay (ELSA-PTH, Cisbio Bioassays, France); the intra- and interassay coefficients of variation (CVs) ranged from 2.1 to 7.5% and from 2.7 to 6.8%, respectively. 25-Hydroxyvitamin D (reference range 5.3–47 ng/mL) was analyzed in serum using an electrochemiluminescence immunoassay analyzer (ECLIA) (Roche Diagnostics GmbH, Germany); the intra- and interassay CVs ranged from 2.2 to 6.8% and from 3.4 to 13.1%, respectively. In light of the absence of any standardized commercial FGF23 assays, we simultaneously performed two available FGF23 assays: an assay for intact FGF23 (iFGF23) and an assay for C-terminal fragments of FGF23 (cFGF23). iFGF23 was assessed in serum using an enzyme-linked immunosorbent assay (ELISA) (Kainos Laboratories, Tokyo, Japan); the intra- and interassay CVs ranged from 2.0 to 3.0% and from 2.1 to 3.8%, respectively. cFGF23 was assessed in EDTA-plasma using a sandwich ELISA (Immutopics, San Clemente, CA) according to the manufacturer’s instructions; the intra- and interassay CVs ranged from 1.4 to 2.4% and from 2.4 to 4.7%, respectively. Each sample was run in duplicate, and the mean values are presented.\nVenous blood samples were taken under nonfasting conditions prior to the dialysis session at the beginning and end of each study period. Standard assays for serum phosphate and calcium were performed using automated analyzers. iPTH (reference range 8–76 pg/mL) was analyzed in serum using an immunoradiometric assay (ELSA-PTH, Cisbio Bioassays, France); the intra- and interassay coefficients of variation (CVs) ranged from 2.1 to 7.5% and from 2.7 to 6.8%, respectively. 25-Hydroxyvitamin D (reference range 5.3–47 ng/mL) was analyzed in serum using an electrochemiluminescence immunoassay analyzer (ECLIA) (Roche Diagnostics GmbH, Germany); the intra- and interassay CVs ranged from 2.2 to 6.8% and from 3.4 to 13.1%, respectively. In light of the absence of any standardized commercial FGF23 assays, we simultaneously performed two available FGF23 assays: an assay for intact FGF23 (iFGF23) and an assay for C-terminal fragments of FGF23 (cFGF23). iFGF23 was assessed in serum using an enzyme-linked immunosorbent assay (ELISA) (Kainos Laboratories, Tokyo, Japan); the intra- and interassay CVs ranged from 2.0 to 3.0% and from 2.1 to 3.8%, respectively. cFGF23 was assessed in EDTA-plasma using a sandwich ELISA (Immutopics, San Clemente, CA) according to the manufacturer’s instructions; the intra- and interassay CVs ranged from 1.4 to 2.4% and from 2.4 to 4.7%, respectively. Each sample was run in duplicate, and the mean values are presented.\nStatistical analysis Analyses were conducted on data from 34 individuals in the first study period and 29 in the second study period for whom samples were available for dietary assessment and measurement of mineral parameters. To evaluate the relationship between dietary phosphorus intake and the levels of mineral markers, including serum phosphate, calcium, iPTH, iFGF23 and cFGF23, we employed separate mixed-effects models, which allowed us to use a total of 4 repeated measurements for each of the outcome variables of interest. In each mixed-effects model, the dependent variable was one of the markers of mineral metabolism, the participant was included as a random effect, and the main independent variable was dietary phosphorus intake of 100 mg. In contrast to serum phosphate and calcium, which were normally distributed, iPTH, iFGF23 and cFGF23 were non-normally distributed and were thus log-transformed before being entered into the model, and the estimated means and 95% confidence intervals (CIs) are presented as percentage changes, as suggested by Benoit [22].\nFor each of the outcome analyses, we used 4 types of models based on the level of multivariate adjustment: model 1 included dietary phosphorus as the only independent variable; model 2 included the additional covariates of age, sex, body mass index, and randomized group; model 3 included the additional covariates of baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose; and model 4 included all of the abovementioned covariates plus 2 dietary record data items: total calorie intake and dietary calcium intake. A two-sided p value of less than .05 was considered to indicate statistical significance. All analyses were performed with SAS version 9.4 software (SAS Institute Inc., Cary, NC, USA).\nAnalyses were conducted on data from 34 individuals in the first study period and 29 in the second study period for whom samples were available for dietary assessment and measurement of mineral parameters. To evaluate the relationship between dietary phosphorus intake and the levels of mineral markers, including serum phosphate, calcium, iPTH, iFGF23 and cFGF23, we employed separate mixed-effects models, which allowed us to use a total of 4 repeated measurements for each of the outcome variables of interest. In each mixed-effects model, the dependent variable was one of the markers of mineral metabolism, the participant was included as a random effect, and the main independent variable was dietary phosphorus intake of 100 mg. In contrast to serum phosphate and calcium, which were normally distributed, iPTH, iFGF23 and cFGF23 were non-normally distributed and were thus log-transformed before being entered into the model, and the estimated means and 95% confidence intervals (CIs) are presented as percentage changes, as suggested by Benoit [22].\nFor each of the outcome analyses, we used 4 types of models based on the level of multivariate adjustment: model 1 included dietary phosphorus as the only independent variable; model 2 included the additional covariates of age, sex, body mass index, and randomized group; model 3 included the additional covariates of baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose; and model 4 included all of the abovementioned covariates plus 2 dietary record data items: total calorie intake and dietary calcium intake. A two-sided p value of less than .05 was considered to indicate statistical significance. All analyses were performed with SAS version 9.4 software (SAS Institute Inc., Cary, NC, USA).", "Figure 1 shows the study design and outcome assessments. We performed a post hoc analysis of a randomized active-controlled crossover single-center clinical trial in which we randomly assigned participants (at an allocation ratio of 1:1) to receive a very-low-phosphorus diet with a PPR of 8 mg/g or a low-phosphorus diet with a PPR of 10 mg/g [18]. Within each 9-day period, each patient consumed each study diet regimen for 2 days; the order of the diets was random, and the two diets were separated by a 5-day washout period. The study protocol, sample size calculation method, and primary outcomes have previously been published in detail [18]. The original study was approved by the institutional review board at Far Eastern Memorial Hospital (FEMH-106108-F) and was registered online before study initiation (ClinicalTrials.gov ID = NCT03367338).\nStudy design and outcome assessments. Participants were randomly assigned to receive study diet A (with a phosphorus-to-protein ratio [PPR] of 8 mg/g) or study diet B (with a PPR of 10 mg/g) during 2-day study periods separated by a 5-day washout period. A total of 4 repeated measurements for the study outcomes were attained before and after each study period. Before each study phase, each participant kept a 3-day dietary record to enable estimation of the nutrient content of his or her usual diet. During the study periods, dietary compliance was assessed by evaluation of 2-day dietary records.", "Subjects with (1) ages greater than 20 years, (2) ESKD and a history of thrice-weekly hemodialysis for more than three months, (3) adequate dialysis (urea reduction ratios [URRs] equal to or greater than 65%), (4) most recent serum phosphate levels greater than 5.5 mg/dL or between 3.5 and 5.5 mg/dL with regular phosphate binder use, (5) serum intact parathyroid hormone (iPTH) levels less than 800 pg/mL, and (6) dry weights between 42.5 kg and 67.5 kg were included in the study. The exclusion criteria included serum albumin levels less than 2.5 g/dL, hospitalization within the past 4 weeks, psychiatric disorders, mental retardation, dislike of the study meals and poor dietary adherence. All participants provided written informed consent. We enrolled 35 patients, of whom 34 completed the first study period and 29 completed the second study period, contributing the relevant data for the present analysis.", "The daily dietary intake of participants was estimated at baseline and during the study periods. The dietitians educated the participants and instructed them to complete standard daily food-recording forms with entries on the meal time, meal type, brand of food, amount of food in standard measuring units, preparation style (homemade or not), and recipe. Before each study period, the participants prospectively maintained a dietary record of their daily intake for three days, including a dialysis weekday, a non-dialysis weekday and a non-dialysis weekend day, allowing us to estimate the nutrient content of their usual diet as well as their dietary compliance.\nAs described in our previous study [18], the nutrient compositions of the study diets were chemically measured and used by dietitians to calculate the daily nutrient intake of the participants during the study periods. In addition, the participants maintained a 2-day dietary record of their consumption of portions of the assigned study diets and of foods outside of the study diets during the study periods. The completeness, consistency, and clarity of the food diaries were reviewed by the dietitians.", "The following demographic and clinical data were recorded: age; sex; dry weight; body mass index; duration of dialysis therapy; history of parathyroidectomy; interdialytic weight gain; dialysis unit blood pressure; type of arteriovenous shunt; dialysate calcium concentration; URR; hemoglobin; ferritin; alkaline phosphatase; albumin; 25-hydroxyvitamin D; and amounts, frequencies, and types of medications, including phosphate-binding agents and vitamin D analogs. The phosphate binder doses among study participants were compared by calculating the phosphate-binding equivalent dose as described by Daugirdas [21].", "Venous blood samples were taken under nonfasting conditions prior to the dialysis session at the beginning and end of each study period. Standard assays for serum phosphate and calcium were performed using automated analyzers. iPTH (reference range 8–76 pg/mL) was analyzed in serum using an immunoradiometric assay (ELSA-PTH, Cisbio Bioassays, France); the intra- and interassay coefficients of variation (CVs) ranged from 2.1 to 7.5% and from 2.7 to 6.8%, respectively. 25-Hydroxyvitamin D (reference range 5.3–47 ng/mL) was analyzed in serum using an electrochemiluminescence immunoassay analyzer (ECLIA) (Roche Diagnostics GmbH, Germany); the intra- and interassay CVs ranged from 2.2 to 6.8% and from 3.4 to 13.1%, respectively. In light of the absence of any standardized commercial FGF23 assays, we simultaneously performed two available FGF23 assays: an assay for intact FGF23 (iFGF23) and an assay for C-terminal fragments of FGF23 (cFGF23). iFGF23 was assessed in serum using an enzyme-linked immunosorbent assay (ELISA) (Kainos Laboratories, Tokyo, Japan); the intra- and interassay CVs ranged from 2.0 to 3.0% and from 2.1 to 3.8%, respectively. cFGF23 was assessed in EDTA-plasma using a sandwich ELISA (Immutopics, San Clemente, CA) according to the manufacturer’s instructions; the intra- and interassay CVs ranged from 1.4 to 2.4% and from 2.4 to 4.7%, respectively. Each sample was run in duplicate, and the mean values are presented.", "Analyses were conducted on data from 34 individuals in the first study period and 29 in the second study period for whom samples were available for dietary assessment and measurement of mineral parameters. To evaluate the relationship between dietary phosphorus intake and the levels of mineral markers, including serum phosphate, calcium, iPTH, iFGF23 and cFGF23, we employed separate mixed-effects models, which allowed us to use a total of 4 repeated measurements for each of the outcome variables of interest. In each mixed-effects model, the dependent variable was one of the markers of mineral metabolism, the participant was included as a random effect, and the main independent variable was dietary phosphorus intake of 100 mg. In contrast to serum phosphate and calcium, which were normally distributed, iPTH, iFGF23 and cFGF23 were non-normally distributed and were thus log-transformed before being entered into the model, and the estimated means and 95% confidence intervals (CIs) are presented as percentage changes, as suggested by Benoit [22].\nFor each of the outcome analyses, we used 4 types of models based on the level of multivariate adjustment: model 1 included dietary phosphorus as the only independent variable; model 2 included the additional covariates of age, sex, body mass index, and randomized group; model 3 included the additional covariates of baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose; and model 4 included all of the abovementioned covariates plus 2 dietary record data items: total calorie intake and dietary calcium intake. A two-sided p value of less than .05 was considered to indicate statistical significance. All analyses were performed with SAS version 9.4 software (SAS Institute Inc., Cary, NC, USA).", "Baseline characteristics Table 1 presents the baseline characteristics of the 34 participants included in the present post hoc analysis. The mean age of the participants was 64 ± 7 years, 38% of the participants were men, and the mean dialysis vintage was 10 ± 7 years. The mean dry weight was 55 ± 7 kg, and the interdialytic weight gain was 2.1 (1.7, 2.6) kg. Approximately 90% of participants had arteriovenous fistulae, and approximately 60% used low dialysate calcium.\nBaseline demographic and clinical characteristics.\n25OHVitD: 25-hydroxy vitamin D; AVF: arteriovenous fistula; BP: blood pressure; cFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone. Continuous data are shown as means (±SDs) or median (1st and 3rd quartiles), and categorical variables as counts and percentages.\naLow dialysate calcium means a dialysate calcium concentration of ≤ 2.5 mEq/L.\nTable 1 presents the baseline characteristics of the 34 participants included in the present post hoc analysis. The mean age of the participants was 64 ± 7 years, 38% of the participants were men, and the mean dialysis vintage was 10 ± 7 years. The mean dry weight was 55 ± 7 kg, and the interdialytic weight gain was 2.1 (1.7, 2.6) kg. Approximately 90% of participants had arteriovenous fistulae, and approximately 60% used low dialysate calcium.\nBaseline demographic and clinical characteristics.\n25OHVitD: 25-hydroxy vitamin D; AVF: arteriovenous fistula; BP: blood pressure; cFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone. Continuous data are shown as means (±SDs) or median (1st and 3rd quartiles), and categorical variables as counts and percentages.\naLow dialysate calcium means a dialysate calcium concentration of ≤ 2.5 mEq/L.\nChanges in dietary record data and changes in markers of mineral metabolism Table 2 describes the dietary record data and the levels of mineral markers at baseline and at the end of each study period. At baseline, the mean total calorie intake of the participants was 1558 ± 295 kcal per day, the mean dietary phosphorus intake was 763 ± 289 mg per day, and the mean dietary calcium intake was 284 ± 128 mg per day. Prior to dietary intervention, the mean serum phosphate was 5.0 ± 1.1 mg/dL, the mean serum calcium was 9.2 ± 0.7 mg/dL, the median iPTH was 124 (65, 325) pg/mL, the median iFGF23 was 2996 (506, 9821) pg/mL, and the median cFGF23 was 5750 (1698, 12539) RU/mL. Compared with the baseline data, dietary phosphorus intake decreased and dietary calcium intake increased during the study periods. The participants exhibited reductions in serum phosphate, iPTH and iFGF23 levels and increases in calcium levels after each of the dietary interventions, whereas they exhibited progressive decreases in cFGF23 levels throughout the 9-day study period.\nChanges in dietary and serum mineral parameters in the study population.\ncFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone.\naWe calculated a 3-day average value for the estimated daily dietary intake before the study.\nbWe calculated a 2-day average value for the estimated dietary intake during the study period.\nTable 2 describes the dietary record data and the levels of mineral markers at baseline and at the end of each study period. At baseline, the mean total calorie intake of the participants was 1558 ± 295 kcal per day, the mean dietary phosphorus intake was 763 ± 289 mg per day, and the mean dietary calcium intake was 284 ± 128 mg per day. Prior to dietary intervention, the mean serum phosphate was 5.0 ± 1.1 mg/dL, the mean serum calcium was 9.2 ± 0.7 mg/dL, the median iPTH was 124 (65, 325) pg/mL, the median iFGF23 was 2996 (506, 9821) pg/mL, and the median cFGF23 was 5750 (1698, 12539) RU/mL. Compared with the baseline data, dietary phosphorus intake decreased and dietary calcium intake increased during the study periods. The participants exhibited reductions in serum phosphate, iPTH and iFGF23 levels and increases in calcium levels after each of the dietary interventions, whereas they exhibited progressive decreases in cFGF23 levels throughout the 9-day study period.\nChanges in dietary and serum mineral parameters in the study population.\ncFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone.\naWe calculated a 3-day average value for the estimated daily dietary intake before the study.\nbWe calculated a 2-day average value for the estimated dietary intake during the study period.\nRelationships between dietary phosphorus intake and markers of mineral metabolism Table 3 demonstrates the relationships between dietary phosphorus intake and markers of mineral metabolism. Higher dietary phosphorus intake was strongly correlated with a higher serum phosphate level in models 1 (the univariate model) through 4 (the fully adjusted model); multivariate adjustment did not mitigate the positive association between dietary phosphorus intake and serum phosphate level. Every increase in dietary phosphorus intake of 100 mg was significantly related to an increase in serum phosphate level of 0.28 mg/dL (95% CI, 0.21–0.35, p < .001). In contrast, there was an inverse correlation between dietary phosphorus intake and serum calcium level; an increase in dietary phosphorus intake of 100 mg was significantly related to a decrease in serum calcium level of 0.06 mg/dL (95% CI, −0.11 to −0.01, p = .01) in the fully adjusted model.\nAssociations between an increase in dietary phosphorus intake of 100 mg and changes in serum mineral parameters.\ncFGF23: C-terminal fibroblast growth factor 23; CI: confidence intervals; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone; URR: urea reduction ratio.\naUnivariate model.\nbThe adjusted variables included age, sex, body mass index, and randomized group.\ncThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose.\ndThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, phosphate-binding equivalent dose, total calorie intake, and dietary calcium intake.\nFor log-transformed variables including iPTH, iFGF23 and cFGF23, the estimates are presented as percentage changes for every 100 mg increase in dietary phosphorus intake. The iPTH level increased in response to elevated dietary phosphorus intake; in the fully adjusted model, an increase in dietary phosphorus intake of 100 mg was significantly correlated with an increase in the iPTH level of 5.4% (95% CI, 1.4–9.3, p = .01). Similarly, the iFGF23 level increased as dietary phosphorus intake increased; there was a significant association in both the unadjusted and adjusted models. An increase in dietary phosphorus intake of 100 mg was significantly related to an increase in iFGF23 level of 5.0% (95% CI, 2.0–8.0, p = .001). In contrast to the levels of the abovementioned mineral markers, the cFGF23 level did not change in response to variations in dietary phosphorus intake.\nTable 3 demonstrates the relationships between dietary phosphorus intake and markers of mineral metabolism. Higher dietary phosphorus intake was strongly correlated with a higher serum phosphate level in models 1 (the univariate model) through 4 (the fully adjusted model); multivariate adjustment did not mitigate the positive association between dietary phosphorus intake and serum phosphate level. Every increase in dietary phosphorus intake of 100 mg was significantly related to an increase in serum phosphate level of 0.28 mg/dL (95% CI, 0.21–0.35, p < .001). In contrast, there was an inverse correlation between dietary phosphorus intake and serum calcium level; an increase in dietary phosphorus intake of 100 mg was significantly related to a decrease in serum calcium level of 0.06 mg/dL (95% CI, −0.11 to −0.01, p = .01) in the fully adjusted model.\nAssociations between an increase in dietary phosphorus intake of 100 mg and changes in serum mineral parameters.\ncFGF23: C-terminal fibroblast growth factor 23; CI: confidence intervals; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone; URR: urea reduction ratio.\naUnivariate model.\nbThe adjusted variables included age, sex, body mass index, and randomized group.\ncThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose.\ndThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, phosphate-binding equivalent dose, total calorie intake, and dietary calcium intake.\nFor log-transformed variables including iPTH, iFGF23 and cFGF23, the estimates are presented as percentage changes for every 100 mg increase in dietary phosphorus intake. The iPTH level increased in response to elevated dietary phosphorus intake; in the fully adjusted model, an increase in dietary phosphorus intake of 100 mg was significantly correlated with an increase in the iPTH level of 5.4% (95% CI, 1.4–9.3, p = .01). Similarly, the iFGF23 level increased as dietary phosphorus intake increased; there was a significant association in both the unadjusted and adjusted models. An increase in dietary phosphorus intake of 100 mg was significantly related to an increase in iFGF23 level of 5.0% (95% CI, 2.0–8.0, p = .001). In contrast to the levels of the abovementioned mineral markers, the cFGF23 level did not change in response to variations in dietary phosphorus intake.", "Table 1 presents the baseline characteristics of the 34 participants included in the present post hoc analysis. The mean age of the participants was 64 ± 7 years, 38% of the participants were men, and the mean dialysis vintage was 10 ± 7 years. The mean dry weight was 55 ± 7 kg, and the interdialytic weight gain was 2.1 (1.7, 2.6) kg. Approximately 90% of participants had arteriovenous fistulae, and approximately 60% used low dialysate calcium.\nBaseline demographic and clinical characteristics.\n25OHVitD: 25-hydroxy vitamin D; AVF: arteriovenous fistula; BP: blood pressure; cFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone. Continuous data are shown as means (±SDs) or median (1st and 3rd quartiles), and categorical variables as counts and percentages.\naLow dialysate calcium means a dialysate calcium concentration of ≤ 2.5 mEq/L.", "Table 2 describes the dietary record data and the levels of mineral markers at baseline and at the end of each study period. At baseline, the mean total calorie intake of the participants was 1558 ± 295 kcal per day, the mean dietary phosphorus intake was 763 ± 289 mg per day, and the mean dietary calcium intake was 284 ± 128 mg per day. Prior to dietary intervention, the mean serum phosphate was 5.0 ± 1.1 mg/dL, the mean serum calcium was 9.2 ± 0.7 mg/dL, the median iPTH was 124 (65, 325) pg/mL, the median iFGF23 was 2996 (506, 9821) pg/mL, and the median cFGF23 was 5750 (1698, 12539) RU/mL. Compared with the baseline data, dietary phosphorus intake decreased and dietary calcium intake increased during the study periods. The participants exhibited reductions in serum phosphate, iPTH and iFGF23 levels and increases in calcium levels after each of the dietary interventions, whereas they exhibited progressive decreases in cFGF23 levels throughout the 9-day study period.\nChanges in dietary and serum mineral parameters in the study population.\ncFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone.\naWe calculated a 3-day average value for the estimated daily dietary intake before the study.\nbWe calculated a 2-day average value for the estimated dietary intake during the study period.", "Table 3 demonstrates the relationships between dietary phosphorus intake and markers of mineral metabolism. Higher dietary phosphorus intake was strongly correlated with a higher serum phosphate level in models 1 (the univariate model) through 4 (the fully adjusted model); multivariate adjustment did not mitigate the positive association between dietary phosphorus intake and serum phosphate level. Every increase in dietary phosphorus intake of 100 mg was significantly related to an increase in serum phosphate level of 0.28 mg/dL (95% CI, 0.21–0.35, p < .001). In contrast, there was an inverse correlation between dietary phosphorus intake and serum calcium level; an increase in dietary phosphorus intake of 100 mg was significantly related to a decrease in serum calcium level of 0.06 mg/dL (95% CI, −0.11 to −0.01, p = .01) in the fully adjusted model.\nAssociations between an increase in dietary phosphorus intake of 100 mg and changes in serum mineral parameters.\ncFGF23: C-terminal fibroblast growth factor 23; CI: confidence intervals; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone; URR: urea reduction ratio.\naUnivariate model.\nbThe adjusted variables included age, sex, body mass index, and randomized group.\ncThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose.\ndThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, phosphate-binding equivalent dose, total calorie intake, and dietary calcium intake.\nFor log-transformed variables including iPTH, iFGF23 and cFGF23, the estimates are presented as percentage changes for every 100 mg increase in dietary phosphorus intake. The iPTH level increased in response to elevated dietary phosphorus intake; in the fully adjusted model, an increase in dietary phosphorus intake of 100 mg was significantly correlated with an increase in the iPTH level of 5.4% (95% CI, 1.4–9.3, p = .01). Similarly, the iFGF23 level increased as dietary phosphorus intake increased; there was a significant association in both the unadjusted and adjusted models. An increase in dietary phosphorus intake of 100 mg was significantly related to an increase in iFGF23 level of 5.0% (95% CI, 2.0–8.0, p = .001). In contrast to the levels of the abovementioned mineral markers, the cFGF23 level did not change in response to variations in dietary phosphorus intake.", "Although there is considerable evidence for non-dialysis patients with CKD, this is, to our knowledge, the first study to describe acute variations in biomarkers of mineral metabolism (including FGF23, as measured with iFGF23 and cFGF23 assays) in response to variations in dietary phosphorus intake in hemodialysis patients. We conducted a post hoc analysis on existing data from our previous randomized crossover trial to investigate the acute responses of mineral metabolism markers to dietary phosphorus changes. A total of 4 repeated measurements of dietary and biochemical data obtained during a 9-day period were used, and mixed-effects models indicated that acute variations in 4 mineral parameters occurred in response to variations in dietary phosphorus intake. Specifically, dietary phosphorus intake was positively associated with serum phosphate, iPTH and iFGF23 levels and inversely associated with serum calcium levels. These findings support the evidence that dietary phosphorus intake rapidly and positively affects CKD-MBD markers, highlighting the important role of daily fluctuations in dietary habits in the clinical management of CKD-MBD in dialysis populations.\nOur study showed that acute changes, i.e., within days, in dietary phosphorus intake led to corresponding changes in markers of mineral metabolism. Within a 9-day period, we obtained a total of 4 repeated measurements for each participant regarding dietary and biochemical data. We demonstrated that even a small change in dietary phosphorus intake, i.e., 100 mg, caused a significant change in markers of mineral metabolism within days. Including mainly natural food sources and higher percentage of plant-derived protein, low-phosphorus diets used in our study facilitated acute change in markers of mineral metabolism. These hyper-acute changes in mineral metabolism reflect the day-to-day fluctuations of dietary phosphorus intake. Such diet-induced changes to markers of mineral metabolism may not be completely detected by the monthly surveillance of laboratory-based measures, which is the current clinical practice of dialysis. As stated in the recent review by Tibor Fülöp and his colleagues [20], nephrologists have been largely relied on objective laboratory measures that are performed on a monthly basis, and these laboratory measures, such as pre-dialysis serum phosphorus and calcium, provide a snapshot view that may not adequately capture the potentially large daily fluctuations in dietary habits. Using serum concentrations of clinical mineral parameters assumes a chronic steady state, but it is hardly true in the dialysis population because these laboratory parameters are both largely and rapidly dependent on variations in daily diet and hemodynamic instabilities during dialysis procedure. Tibor Fülöp and his colleagues [20] also pointed out that assessment of the individual patient’s clinical status based on snapshots of laboratory values are often misinterpreted and occasionally of questionable relevance. Thus, monthly snapshots of mineral parameters may not adequately characterize fluctuations in dietary intake, and cautions should be taken when interpreting these results.\nThere are limited data concerning the association of dietary phosphorus intake with FGF23 in dialysis populations. Our systematic review and meta-analysis [15] of the currently available randomized clinical trials has demonstrated that (1) low-phosphorus diets tend to lower FGF23 levels, (2) the FGF23-lowering effects are more prominent when measured with the iFGF23 assays, and (3) no studies have included dialysis patients. In an attempt to fill this knowledge gap, we included only hemodialysis patients in a randomized crossover clinical trial comparing the FGF23-lowering effects of two low-phosphorus diets: a diet with a PPR of 8 mg/g and a diet with a PPR of 10 mg/g [18]. Notably, both low-phosphorus diets lowered the mean serum iFGF23 level by approximately 1000 pg/mL (a decrease of 18%–19%) after only 2 days, and cFGF23 was unaffected. In the current study, which pooled data from both low-phosphorus diets regarding FGF23-lowering effects, we found that every increase in dietary phosphorus intake of 100 mg was significantly associated with an increase in iFGF23 of 5% and had no effect on cFGF23 level. In accordance with the results from our systematic review and meta-analysis [15], this finding supports the involvement of a regulatory pathway in diet-mediated phosphate control in which dietary phosphorus regulates iFGF23 levels without concomitantly changing cFGF23 levels in patients with CKD.\nEven though low-phosphorus diets had no effect on cFGF23 within 2 days, it is noteworthy that the study participants exhibited progressive declines in median cFGF23 levels after 7 days (baseline cFGF23, 5750 [1698, 12539] vs. those after 7 days, 4737 [1550, 6197], p = .0002; baseline cFGF23 vs. those after 9 days, 2680 [1140, 5741], p < .0001) independent of the study diet interventions during the 9-day study period. As stated in a recent review by Daniel Edmonston and Myles Wolf [23], the results of iFGF23 and cFGF23 assays can be totally different depending on the balance between production and cleavage of FGF23. We did observe lags in cFGF23 level changes in response to variations in dietary phosphorus intake. Based on this observation, we hypothesize that catabolism or removal of cFGF23 from the circulation may take a few days or perhaps a week in hemodialysis patients. Future studies should be undertaken to investigate the effect of dietary phosphorus intake on FGF23 catabolism in dialysis populations.\nSimilar to previous studies [24,25], our study showed that dietary phosphorus intake was well correlated with serum phosphate, calcium and iPTH levels. The associations were independent of baseline iPTH levels, dialysis adequacy, phosphate binder dosages, and dietary parameters including total calorie intake and dietary calcium intake, as we adjusted for these factors in the mixed-effects models. Contrary to previous studies that have assessed the long-term effects of phosphorus restriction on mineral parameters in non-dialysis populations [24,25], our study assessed short-term changes in hemodialysis patients. We obtained 4 repeated measurements of parameters within 9 days in a dialysis population with a vintage of 10 years and found significant associations between dietary phosphorus intake and mineral parameters. Of note, in a previous study enrolling non-dialysis patients [26], short-term (5-day) dietary intervention did not alter serum phosphate and calcium levels. Owing to the limited compensatory mechanisms for maintenance of serum phosphate levels in hemodialysis patients, the effects of dietary phosphorus intake on mineral metabolism markers are more rapid and stronger in these patients than in non-dialysis patients with CKD. As previously reported [27–29], we found that elevated dietary phosphorus intake acutely, directly and strongly increased serum phosphate levels and reciprocally decreased serum calcium levels. In addition to increased dietary phosphorus intake, which directly increased iPTH levels, both the resulting increases in serum phosphate levels and the simultaneous decreases in serum calcium levels increased iPTH levels [30,31] .\nOur study has a few limitations that deserve mentioning. First, the results of our study should be considered hypothesis-generating, because we performed a post hoc analysis of our previous randomized crossover trial. Second, our study included only hemodialysis patients with a mean vintage of 10 years and high FGF23 levels; caution should be taken when extrapolating our findings to different populations. Third, the small number of participants limited our ability to analyze all of the factors that may have been associated with dietary phosphorus intake or influenced the changes in the mineral parameters. However, this limitation was partially compensated for by the use of mixed-effects models, in which participants act as their own controls in a crossover design, and by the use of 4 repeated measurements of the changes in each individual over time. Finally, the short duration of this study did not allow us to study potential effects on clinical outcomes. Our study was able to evaluate only diet-mediated changes in biomarkers of mineral metabolism, which are considered intermediate outcomes.\nIn conclusion, dietary phosphorus acutely regulates CKD-MBD markers in hemodialysis patients. Serum phosphate, iPTH, and iFGF23 levels increase and serum calcium levels decrease in response to elevated dietary phosphorus intake." ]
[ "intro", "methods", null, null, null, null, null, null, "results", null, null, null, "discussion" ]
[ "Acute", "dietary phosphorus", "FGF23", "hemodialysis", "phosphate", "PTH" ]
Introduction: Chronic kidney disease-mineral and bone disorder (CKD-MBD) is very common in patients with end-stage kidney disease (ESKD), and emerging evidence suggests that mineral metabolism disorders, including hyperphosphatemia, fibroblast growth factor 23 (FGF23) excess, and secondary hyperparathyroidism, contribute to the high rates of adverse cardiovascular outcomes and premature death [1–4]. Phosphate retention plays an important role in the development of CKD-MBD [5,6]. In addition to adequate dialysis and pharmaceutical treatments, dietary phosphorus restriction has long been a cornerstone of therapy and is a recommended way to ameliorate phosphate retention [7–9]. Animal studies have demonstrated that dietary phosphorus regulates mineral metabolism markers [10–12]. In addition, in human studies, dietary phosphorus has been found to acutely change mineral parameters [13,14]. Previous clinical studies assessing the relationship between dietary phosphorus restriction and CKD-MBD marker levels have focused on non-dialysis populations [15,16]. There is scant evidence to suggest that dietary phosphorus restriction positively affects CKD-MBD markers in patients with CKD [17]. For hemodialysis patients, who have limited compensatory mechanisms to maintain normal phosphate levels and thus have high hyperphosphatemia rates and elevated FGF23 levels, little is known about the association between acute changes in dietary phosphorus and changes in these mineral markers, especially FGF23 [15]. In a previous randomized active-controlled crossover trial conducted on ESKD patients receiving hemodialysis, we found no benefit of a 2-day dietary intervention with a very-low-phosphorus diet (8 mg/g phosphorus-to-protein ratio, PPR) compared with a low-phosphorus diet (10 mg/g PPR) on the outcome of an FGF23 change from baseline [18,19]. However, serum intact FGF23 levels were lower than the baseline in both diet groups. In addition, a greater reduction in serum phosphate level and a greater increase in serum calcium level were found in the 8 mg/g diet group than in the 10 mg/g diet group. Based on these observations, we hypothesized that elevated dietary phosphorus intake acutely and negatively affects markers of mineral metabolism. For clinical application, there is concerned that day-to-day variations in nutritional intake may not be captured by current dialysis practice, which adopted monthly assessment of laboratory measures, and these snapshots of laboratory values are potentially misinterpreted and occasionally of questionable relevance [20]. In order to examine the relationship between dietary phosphorus intake and serum mineral parameters, a post hoc analysis was conducted on existing data from our previous study to evaluate the short-term effects of dietary phosphorus intake on markers of mineral metabolism in patients with ESKD undergoing hemodialysis. Methods: Study design Figure 1 shows the study design and outcome assessments. We performed a post hoc analysis of a randomized active-controlled crossover single-center clinical trial in which we randomly assigned participants (at an allocation ratio of 1:1) to receive a very-low-phosphorus diet with a PPR of 8 mg/g or a low-phosphorus diet with a PPR of 10 mg/g [18]. Within each 9-day period, each patient consumed each study diet regimen for 2 days; the order of the diets was random, and the two diets were separated by a 5-day washout period. The study protocol, sample size calculation method, and primary outcomes have previously been published in detail [18]. The original study was approved by the institutional review board at Far Eastern Memorial Hospital (FEMH-106108-F) and was registered online before study initiation (ClinicalTrials.gov ID = NCT03367338). Study design and outcome assessments. Participants were randomly assigned to receive study diet A (with a phosphorus-to-protein ratio [PPR] of 8 mg/g) or study diet B (with a PPR of 10 mg/g) during 2-day study periods separated by a 5-day washout period. A total of 4 repeated measurements for the study outcomes were attained before and after each study period. Before each study phase, each participant kept a 3-day dietary record to enable estimation of the nutrient content of his or her usual diet. During the study periods, dietary compliance was assessed by evaluation of 2-day dietary records. Figure 1 shows the study design and outcome assessments. We performed a post hoc analysis of a randomized active-controlled crossover single-center clinical trial in which we randomly assigned participants (at an allocation ratio of 1:1) to receive a very-low-phosphorus diet with a PPR of 8 mg/g or a low-phosphorus diet with a PPR of 10 mg/g [18]. Within each 9-day period, each patient consumed each study diet regimen for 2 days; the order of the diets was random, and the two diets were separated by a 5-day washout period. The study protocol, sample size calculation method, and primary outcomes have previously been published in detail [18]. The original study was approved by the institutional review board at Far Eastern Memorial Hospital (FEMH-106108-F) and was registered online before study initiation (ClinicalTrials.gov ID = NCT03367338). Study design and outcome assessments. Participants were randomly assigned to receive study diet A (with a phosphorus-to-protein ratio [PPR] of 8 mg/g) or study diet B (with a PPR of 10 mg/g) during 2-day study periods separated by a 5-day washout period. A total of 4 repeated measurements for the study outcomes were attained before and after each study period. Before each study phase, each participant kept a 3-day dietary record to enable estimation of the nutrient content of his or her usual diet. During the study periods, dietary compliance was assessed by evaluation of 2-day dietary records. Study population Subjects with (1) ages greater than 20 years, (2) ESKD and a history of thrice-weekly hemodialysis for more than three months, (3) adequate dialysis (urea reduction ratios [URRs] equal to or greater than 65%), (4) most recent serum phosphate levels greater than 5.5 mg/dL or between 3.5 and 5.5 mg/dL with regular phosphate binder use, (5) serum intact parathyroid hormone (iPTH) levels less than 800 pg/mL, and (6) dry weights between 42.5 kg and 67.5 kg were included in the study. The exclusion criteria included serum albumin levels less than 2.5 g/dL, hospitalization within the past 4 weeks, psychiatric disorders, mental retardation, dislike of the study meals and poor dietary adherence. All participants provided written informed consent. We enrolled 35 patients, of whom 34 completed the first study period and 29 completed the second study period, contributing the relevant data for the present analysis. Subjects with (1) ages greater than 20 years, (2) ESKD and a history of thrice-weekly hemodialysis for more than three months, (3) adequate dialysis (urea reduction ratios [URRs] equal to or greater than 65%), (4) most recent serum phosphate levels greater than 5.5 mg/dL or between 3.5 and 5.5 mg/dL with regular phosphate binder use, (5) serum intact parathyroid hormone (iPTH) levels less than 800 pg/mL, and (6) dry weights between 42.5 kg and 67.5 kg were included in the study. The exclusion criteria included serum albumin levels less than 2.5 g/dL, hospitalization within the past 4 weeks, psychiatric disorders, mental retardation, dislike of the study meals and poor dietary adherence. All participants provided written informed consent. We enrolled 35 patients, of whom 34 completed the first study period and 29 completed the second study period, contributing the relevant data for the present analysis. Dietary assessment The daily dietary intake of participants was estimated at baseline and during the study periods. The dietitians educated the participants and instructed them to complete standard daily food-recording forms with entries on the meal time, meal type, brand of food, amount of food in standard measuring units, preparation style (homemade or not), and recipe. Before each study period, the participants prospectively maintained a dietary record of their daily intake for three days, including a dialysis weekday, a non-dialysis weekday and a non-dialysis weekend day, allowing us to estimate the nutrient content of their usual diet as well as their dietary compliance. As described in our previous study [18], the nutrient compositions of the study diets were chemically measured and used by dietitians to calculate the daily nutrient intake of the participants during the study periods. In addition, the participants maintained a 2-day dietary record of their consumption of portions of the assigned study diets and of foods outside of the study diets during the study periods. The completeness, consistency, and clarity of the food diaries were reviewed by the dietitians. The daily dietary intake of participants was estimated at baseline and during the study periods. The dietitians educated the participants and instructed them to complete standard daily food-recording forms with entries on the meal time, meal type, brand of food, amount of food in standard measuring units, preparation style (homemade or not), and recipe. Before each study period, the participants prospectively maintained a dietary record of their daily intake for three days, including a dialysis weekday, a non-dialysis weekday and a non-dialysis weekend day, allowing us to estimate the nutrient content of their usual diet as well as their dietary compliance. As described in our previous study [18], the nutrient compositions of the study diets were chemically measured and used by dietitians to calculate the daily nutrient intake of the participants during the study periods. In addition, the participants maintained a 2-day dietary record of their consumption of portions of the assigned study diets and of foods outside of the study diets during the study periods. The completeness, consistency, and clarity of the food diaries were reviewed by the dietitians. Clinical data collection The following demographic and clinical data were recorded: age; sex; dry weight; body mass index; duration of dialysis therapy; history of parathyroidectomy; interdialytic weight gain; dialysis unit blood pressure; type of arteriovenous shunt; dialysate calcium concentration; URR; hemoglobin; ferritin; alkaline phosphatase; albumin; 25-hydroxyvitamin D; and amounts, frequencies, and types of medications, including phosphate-binding agents and vitamin D analogs. The phosphate binder doses among study participants were compared by calculating the phosphate-binding equivalent dose as described by Daugirdas [21]. The following demographic and clinical data were recorded: age; sex; dry weight; body mass index; duration of dialysis therapy; history of parathyroidectomy; interdialytic weight gain; dialysis unit blood pressure; type of arteriovenous shunt; dialysate calcium concentration; URR; hemoglobin; ferritin; alkaline phosphatase; albumin; 25-hydroxyvitamin D; and amounts, frequencies, and types of medications, including phosphate-binding agents and vitamin D analogs. The phosphate binder doses among study participants were compared by calculating the phosphate-binding equivalent dose as described by Daugirdas [21]. Biochemical assessment Venous blood samples were taken under nonfasting conditions prior to the dialysis session at the beginning and end of each study period. Standard assays for serum phosphate and calcium were performed using automated analyzers. iPTH (reference range 8–76 pg/mL) was analyzed in serum using an immunoradiometric assay (ELSA-PTH, Cisbio Bioassays, France); the intra- and interassay coefficients of variation (CVs) ranged from 2.1 to 7.5% and from 2.7 to 6.8%, respectively. 25-Hydroxyvitamin D (reference range 5.3–47 ng/mL) was analyzed in serum using an electrochemiluminescence immunoassay analyzer (ECLIA) (Roche Diagnostics GmbH, Germany); the intra- and interassay CVs ranged from 2.2 to 6.8% and from 3.4 to 13.1%, respectively. In light of the absence of any standardized commercial FGF23 assays, we simultaneously performed two available FGF23 assays: an assay for intact FGF23 (iFGF23) and an assay for C-terminal fragments of FGF23 (cFGF23). iFGF23 was assessed in serum using an enzyme-linked immunosorbent assay (ELISA) (Kainos Laboratories, Tokyo, Japan); the intra- and interassay CVs ranged from 2.0 to 3.0% and from 2.1 to 3.8%, respectively. cFGF23 was assessed in EDTA-plasma using a sandwich ELISA (Immutopics, San Clemente, CA) according to the manufacturer’s instructions; the intra- and interassay CVs ranged from 1.4 to 2.4% and from 2.4 to 4.7%, respectively. Each sample was run in duplicate, and the mean values are presented. Venous blood samples were taken under nonfasting conditions prior to the dialysis session at the beginning and end of each study period. Standard assays for serum phosphate and calcium were performed using automated analyzers. iPTH (reference range 8–76 pg/mL) was analyzed in serum using an immunoradiometric assay (ELSA-PTH, Cisbio Bioassays, France); the intra- and interassay coefficients of variation (CVs) ranged from 2.1 to 7.5% and from 2.7 to 6.8%, respectively. 25-Hydroxyvitamin D (reference range 5.3–47 ng/mL) was analyzed in serum using an electrochemiluminescence immunoassay analyzer (ECLIA) (Roche Diagnostics GmbH, Germany); the intra- and interassay CVs ranged from 2.2 to 6.8% and from 3.4 to 13.1%, respectively. In light of the absence of any standardized commercial FGF23 assays, we simultaneously performed two available FGF23 assays: an assay for intact FGF23 (iFGF23) and an assay for C-terminal fragments of FGF23 (cFGF23). iFGF23 was assessed in serum using an enzyme-linked immunosorbent assay (ELISA) (Kainos Laboratories, Tokyo, Japan); the intra- and interassay CVs ranged from 2.0 to 3.0% and from 2.1 to 3.8%, respectively. cFGF23 was assessed in EDTA-plasma using a sandwich ELISA (Immutopics, San Clemente, CA) according to the manufacturer’s instructions; the intra- and interassay CVs ranged from 1.4 to 2.4% and from 2.4 to 4.7%, respectively. Each sample was run in duplicate, and the mean values are presented. Statistical analysis Analyses were conducted on data from 34 individuals in the first study period and 29 in the second study period for whom samples were available for dietary assessment and measurement of mineral parameters. To evaluate the relationship between dietary phosphorus intake and the levels of mineral markers, including serum phosphate, calcium, iPTH, iFGF23 and cFGF23, we employed separate mixed-effects models, which allowed us to use a total of 4 repeated measurements for each of the outcome variables of interest. In each mixed-effects model, the dependent variable was one of the markers of mineral metabolism, the participant was included as a random effect, and the main independent variable was dietary phosphorus intake of 100 mg. In contrast to serum phosphate and calcium, which were normally distributed, iPTH, iFGF23 and cFGF23 were non-normally distributed and were thus log-transformed before being entered into the model, and the estimated means and 95% confidence intervals (CIs) are presented as percentage changes, as suggested by Benoit [22]. For each of the outcome analyses, we used 4 types of models based on the level of multivariate adjustment: model 1 included dietary phosphorus as the only independent variable; model 2 included the additional covariates of age, sex, body mass index, and randomized group; model 3 included the additional covariates of baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose; and model 4 included all of the abovementioned covariates plus 2 dietary record data items: total calorie intake and dietary calcium intake. A two-sided p value of less than .05 was considered to indicate statistical significance. All analyses were performed with SAS version 9.4 software (SAS Institute Inc., Cary, NC, USA). Analyses were conducted on data from 34 individuals in the first study period and 29 in the second study period for whom samples were available for dietary assessment and measurement of mineral parameters. To evaluate the relationship between dietary phosphorus intake and the levels of mineral markers, including serum phosphate, calcium, iPTH, iFGF23 and cFGF23, we employed separate mixed-effects models, which allowed us to use a total of 4 repeated measurements for each of the outcome variables of interest. In each mixed-effects model, the dependent variable was one of the markers of mineral metabolism, the participant was included as a random effect, and the main independent variable was dietary phosphorus intake of 100 mg. In contrast to serum phosphate and calcium, which were normally distributed, iPTH, iFGF23 and cFGF23 were non-normally distributed and were thus log-transformed before being entered into the model, and the estimated means and 95% confidence intervals (CIs) are presented as percentage changes, as suggested by Benoit [22]. For each of the outcome analyses, we used 4 types of models based on the level of multivariate adjustment: model 1 included dietary phosphorus as the only independent variable; model 2 included the additional covariates of age, sex, body mass index, and randomized group; model 3 included the additional covariates of baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose; and model 4 included all of the abovementioned covariates plus 2 dietary record data items: total calorie intake and dietary calcium intake. A two-sided p value of less than .05 was considered to indicate statistical significance. All analyses were performed with SAS version 9.4 software (SAS Institute Inc., Cary, NC, USA). Study design: Figure 1 shows the study design and outcome assessments. We performed a post hoc analysis of a randomized active-controlled crossover single-center clinical trial in which we randomly assigned participants (at an allocation ratio of 1:1) to receive a very-low-phosphorus diet with a PPR of 8 mg/g or a low-phosphorus diet with a PPR of 10 mg/g [18]. Within each 9-day period, each patient consumed each study diet regimen for 2 days; the order of the diets was random, and the two diets were separated by a 5-day washout period. The study protocol, sample size calculation method, and primary outcomes have previously been published in detail [18]. The original study was approved by the institutional review board at Far Eastern Memorial Hospital (FEMH-106108-F) and was registered online before study initiation (ClinicalTrials.gov ID = NCT03367338). Study design and outcome assessments. Participants were randomly assigned to receive study diet A (with a phosphorus-to-protein ratio [PPR] of 8 mg/g) or study diet B (with a PPR of 10 mg/g) during 2-day study periods separated by a 5-day washout period. A total of 4 repeated measurements for the study outcomes were attained before and after each study period. Before each study phase, each participant kept a 3-day dietary record to enable estimation of the nutrient content of his or her usual diet. During the study periods, dietary compliance was assessed by evaluation of 2-day dietary records. Study population: Subjects with (1) ages greater than 20 years, (2) ESKD and a history of thrice-weekly hemodialysis for more than three months, (3) adequate dialysis (urea reduction ratios [URRs] equal to or greater than 65%), (4) most recent serum phosphate levels greater than 5.5 mg/dL or between 3.5 and 5.5 mg/dL with regular phosphate binder use, (5) serum intact parathyroid hormone (iPTH) levels less than 800 pg/mL, and (6) dry weights between 42.5 kg and 67.5 kg were included in the study. The exclusion criteria included serum albumin levels less than 2.5 g/dL, hospitalization within the past 4 weeks, psychiatric disorders, mental retardation, dislike of the study meals and poor dietary adherence. All participants provided written informed consent. We enrolled 35 patients, of whom 34 completed the first study period and 29 completed the second study period, contributing the relevant data for the present analysis. Dietary assessment: The daily dietary intake of participants was estimated at baseline and during the study periods. The dietitians educated the participants and instructed them to complete standard daily food-recording forms with entries on the meal time, meal type, brand of food, amount of food in standard measuring units, preparation style (homemade or not), and recipe. Before each study period, the participants prospectively maintained a dietary record of their daily intake for three days, including a dialysis weekday, a non-dialysis weekday and a non-dialysis weekend day, allowing us to estimate the nutrient content of their usual diet as well as their dietary compliance. As described in our previous study [18], the nutrient compositions of the study diets were chemically measured and used by dietitians to calculate the daily nutrient intake of the participants during the study periods. In addition, the participants maintained a 2-day dietary record of their consumption of portions of the assigned study diets and of foods outside of the study diets during the study periods. The completeness, consistency, and clarity of the food diaries were reviewed by the dietitians. Clinical data collection: The following demographic and clinical data were recorded: age; sex; dry weight; body mass index; duration of dialysis therapy; history of parathyroidectomy; interdialytic weight gain; dialysis unit blood pressure; type of arteriovenous shunt; dialysate calcium concentration; URR; hemoglobin; ferritin; alkaline phosphatase; albumin; 25-hydroxyvitamin D; and amounts, frequencies, and types of medications, including phosphate-binding agents and vitamin D analogs. The phosphate binder doses among study participants were compared by calculating the phosphate-binding equivalent dose as described by Daugirdas [21]. Biochemical assessment: Venous blood samples were taken under nonfasting conditions prior to the dialysis session at the beginning and end of each study period. Standard assays for serum phosphate and calcium were performed using automated analyzers. iPTH (reference range 8–76 pg/mL) was analyzed in serum using an immunoradiometric assay (ELSA-PTH, Cisbio Bioassays, France); the intra- and interassay coefficients of variation (CVs) ranged from 2.1 to 7.5% and from 2.7 to 6.8%, respectively. 25-Hydroxyvitamin D (reference range 5.3–47 ng/mL) was analyzed in serum using an electrochemiluminescence immunoassay analyzer (ECLIA) (Roche Diagnostics GmbH, Germany); the intra- and interassay CVs ranged from 2.2 to 6.8% and from 3.4 to 13.1%, respectively. In light of the absence of any standardized commercial FGF23 assays, we simultaneously performed two available FGF23 assays: an assay for intact FGF23 (iFGF23) and an assay for C-terminal fragments of FGF23 (cFGF23). iFGF23 was assessed in serum using an enzyme-linked immunosorbent assay (ELISA) (Kainos Laboratories, Tokyo, Japan); the intra- and interassay CVs ranged from 2.0 to 3.0% and from 2.1 to 3.8%, respectively. cFGF23 was assessed in EDTA-plasma using a sandwich ELISA (Immutopics, San Clemente, CA) according to the manufacturer’s instructions; the intra- and interassay CVs ranged from 1.4 to 2.4% and from 2.4 to 4.7%, respectively. Each sample was run in duplicate, and the mean values are presented. Statistical analysis: Analyses were conducted on data from 34 individuals in the first study period and 29 in the second study period for whom samples were available for dietary assessment and measurement of mineral parameters. To evaluate the relationship between dietary phosphorus intake and the levels of mineral markers, including serum phosphate, calcium, iPTH, iFGF23 and cFGF23, we employed separate mixed-effects models, which allowed us to use a total of 4 repeated measurements for each of the outcome variables of interest. In each mixed-effects model, the dependent variable was one of the markers of mineral metabolism, the participant was included as a random effect, and the main independent variable was dietary phosphorus intake of 100 mg. In contrast to serum phosphate and calcium, which were normally distributed, iPTH, iFGF23 and cFGF23 were non-normally distributed and were thus log-transformed before being entered into the model, and the estimated means and 95% confidence intervals (CIs) are presented as percentage changes, as suggested by Benoit [22]. For each of the outcome analyses, we used 4 types of models based on the level of multivariate adjustment: model 1 included dietary phosphorus as the only independent variable; model 2 included the additional covariates of age, sex, body mass index, and randomized group; model 3 included the additional covariates of baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose; and model 4 included all of the abovementioned covariates plus 2 dietary record data items: total calorie intake and dietary calcium intake. A two-sided p value of less than .05 was considered to indicate statistical significance. All analyses were performed with SAS version 9.4 software (SAS Institute Inc., Cary, NC, USA). Results: Baseline characteristics Table 1 presents the baseline characteristics of the 34 participants included in the present post hoc analysis. The mean age of the participants was 64 ± 7 years, 38% of the participants were men, and the mean dialysis vintage was 10 ± 7 years. The mean dry weight was 55 ± 7 kg, and the interdialytic weight gain was 2.1 (1.7, 2.6) kg. Approximately 90% of participants had arteriovenous fistulae, and approximately 60% used low dialysate calcium. Baseline demographic and clinical characteristics. 25OHVitD: 25-hydroxy vitamin D; AVF: arteriovenous fistula; BP: blood pressure; cFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone. Continuous data are shown as means (±SDs) or median (1st and 3rd quartiles), and categorical variables as counts and percentages. aLow dialysate calcium means a dialysate calcium concentration of ≤ 2.5 mEq/L. Table 1 presents the baseline characteristics of the 34 participants included in the present post hoc analysis. The mean age of the participants was 64 ± 7 years, 38% of the participants were men, and the mean dialysis vintage was 10 ± 7 years. The mean dry weight was 55 ± 7 kg, and the interdialytic weight gain was 2.1 (1.7, 2.6) kg. Approximately 90% of participants had arteriovenous fistulae, and approximately 60% used low dialysate calcium. Baseline demographic and clinical characteristics. 25OHVitD: 25-hydroxy vitamin D; AVF: arteriovenous fistula; BP: blood pressure; cFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone. Continuous data are shown as means (±SDs) or median (1st and 3rd quartiles), and categorical variables as counts and percentages. aLow dialysate calcium means a dialysate calcium concentration of ≤ 2.5 mEq/L. Changes in dietary record data and changes in markers of mineral metabolism Table 2 describes the dietary record data and the levels of mineral markers at baseline and at the end of each study period. At baseline, the mean total calorie intake of the participants was 1558 ± 295 kcal per day, the mean dietary phosphorus intake was 763 ± 289 mg per day, and the mean dietary calcium intake was 284 ± 128 mg per day. Prior to dietary intervention, the mean serum phosphate was 5.0 ± 1.1 mg/dL, the mean serum calcium was 9.2 ± 0.7 mg/dL, the median iPTH was 124 (65, 325) pg/mL, the median iFGF23 was 2996 (506, 9821) pg/mL, and the median cFGF23 was 5750 (1698, 12539) RU/mL. Compared with the baseline data, dietary phosphorus intake decreased and dietary calcium intake increased during the study periods. The participants exhibited reductions in serum phosphate, iPTH and iFGF23 levels and increases in calcium levels after each of the dietary interventions, whereas they exhibited progressive decreases in cFGF23 levels throughout the 9-day study period. Changes in dietary and serum mineral parameters in the study population. cFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone. aWe calculated a 3-day average value for the estimated daily dietary intake before the study. bWe calculated a 2-day average value for the estimated dietary intake during the study period. Table 2 describes the dietary record data and the levels of mineral markers at baseline and at the end of each study period. At baseline, the mean total calorie intake of the participants was 1558 ± 295 kcal per day, the mean dietary phosphorus intake was 763 ± 289 mg per day, and the mean dietary calcium intake was 284 ± 128 mg per day. Prior to dietary intervention, the mean serum phosphate was 5.0 ± 1.1 mg/dL, the mean serum calcium was 9.2 ± 0.7 mg/dL, the median iPTH was 124 (65, 325) pg/mL, the median iFGF23 was 2996 (506, 9821) pg/mL, and the median cFGF23 was 5750 (1698, 12539) RU/mL. Compared with the baseline data, dietary phosphorus intake decreased and dietary calcium intake increased during the study periods. The participants exhibited reductions in serum phosphate, iPTH and iFGF23 levels and increases in calcium levels after each of the dietary interventions, whereas they exhibited progressive decreases in cFGF23 levels throughout the 9-day study period. Changes in dietary and serum mineral parameters in the study population. cFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone. aWe calculated a 3-day average value for the estimated daily dietary intake before the study. bWe calculated a 2-day average value for the estimated dietary intake during the study period. Relationships between dietary phosphorus intake and markers of mineral metabolism Table 3 demonstrates the relationships between dietary phosphorus intake and markers of mineral metabolism. Higher dietary phosphorus intake was strongly correlated with a higher serum phosphate level in models 1 (the univariate model) through 4 (the fully adjusted model); multivariate adjustment did not mitigate the positive association between dietary phosphorus intake and serum phosphate level. Every increase in dietary phosphorus intake of 100 mg was significantly related to an increase in serum phosphate level of 0.28 mg/dL (95% CI, 0.21–0.35, p < .001). In contrast, there was an inverse correlation between dietary phosphorus intake and serum calcium level; an increase in dietary phosphorus intake of 100 mg was significantly related to a decrease in serum calcium level of 0.06 mg/dL (95% CI, −0.11 to −0.01, p = .01) in the fully adjusted model. Associations between an increase in dietary phosphorus intake of 100 mg and changes in serum mineral parameters. cFGF23: C-terminal fibroblast growth factor 23; CI: confidence intervals; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone; URR: urea reduction ratio. aUnivariate model. bThe adjusted variables included age, sex, body mass index, and randomized group. cThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose. dThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, phosphate-binding equivalent dose, total calorie intake, and dietary calcium intake. For log-transformed variables including iPTH, iFGF23 and cFGF23, the estimates are presented as percentage changes for every 100 mg increase in dietary phosphorus intake. The iPTH level increased in response to elevated dietary phosphorus intake; in the fully adjusted model, an increase in dietary phosphorus intake of 100 mg was significantly correlated with an increase in the iPTH level of 5.4% (95% CI, 1.4–9.3, p = .01). Similarly, the iFGF23 level increased as dietary phosphorus intake increased; there was a significant association in both the unadjusted and adjusted models. An increase in dietary phosphorus intake of 100 mg was significantly related to an increase in iFGF23 level of 5.0% (95% CI, 2.0–8.0, p = .001). In contrast to the levels of the abovementioned mineral markers, the cFGF23 level did not change in response to variations in dietary phosphorus intake. Table 3 demonstrates the relationships between dietary phosphorus intake and markers of mineral metabolism. Higher dietary phosphorus intake was strongly correlated with a higher serum phosphate level in models 1 (the univariate model) through 4 (the fully adjusted model); multivariate adjustment did not mitigate the positive association between dietary phosphorus intake and serum phosphate level. Every increase in dietary phosphorus intake of 100 mg was significantly related to an increase in serum phosphate level of 0.28 mg/dL (95% CI, 0.21–0.35, p < .001). In contrast, there was an inverse correlation between dietary phosphorus intake and serum calcium level; an increase in dietary phosphorus intake of 100 mg was significantly related to a decrease in serum calcium level of 0.06 mg/dL (95% CI, −0.11 to −0.01, p = .01) in the fully adjusted model. Associations between an increase in dietary phosphorus intake of 100 mg and changes in serum mineral parameters. cFGF23: C-terminal fibroblast growth factor 23; CI: confidence intervals; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone; URR: urea reduction ratio. aUnivariate model. bThe adjusted variables included age, sex, body mass index, and randomized group. cThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose. dThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, phosphate-binding equivalent dose, total calorie intake, and dietary calcium intake. For log-transformed variables including iPTH, iFGF23 and cFGF23, the estimates are presented as percentage changes for every 100 mg increase in dietary phosphorus intake. The iPTH level increased in response to elevated dietary phosphorus intake; in the fully adjusted model, an increase in dietary phosphorus intake of 100 mg was significantly correlated with an increase in the iPTH level of 5.4% (95% CI, 1.4–9.3, p = .01). Similarly, the iFGF23 level increased as dietary phosphorus intake increased; there was a significant association in both the unadjusted and adjusted models. An increase in dietary phosphorus intake of 100 mg was significantly related to an increase in iFGF23 level of 5.0% (95% CI, 2.0–8.0, p = .001). In contrast to the levels of the abovementioned mineral markers, the cFGF23 level did not change in response to variations in dietary phosphorus intake. Baseline characteristics: Table 1 presents the baseline characteristics of the 34 participants included in the present post hoc analysis. The mean age of the participants was 64 ± 7 years, 38% of the participants were men, and the mean dialysis vintage was 10 ± 7 years. The mean dry weight was 55 ± 7 kg, and the interdialytic weight gain was 2.1 (1.7, 2.6) kg. Approximately 90% of participants had arteriovenous fistulae, and approximately 60% used low dialysate calcium. Baseline demographic and clinical characteristics. 25OHVitD: 25-hydroxy vitamin D; AVF: arteriovenous fistula; BP: blood pressure; cFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone. Continuous data are shown as means (±SDs) or median (1st and 3rd quartiles), and categorical variables as counts and percentages. aLow dialysate calcium means a dialysate calcium concentration of ≤ 2.5 mEq/L. Changes in dietary record data and changes in markers of mineral metabolism: Table 2 describes the dietary record data and the levels of mineral markers at baseline and at the end of each study period. At baseline, the mean total calorie intake of the participants was 1558 ± 295 kcal per day, the mean dietary phosphorus intake was 763 ± 289 mg per day, and the mean dietary calcium intake was 284 ± 128 mg per day. Prior to dietary intervention, the mean serum phosphate was 5.0 ± 1.1 mg/dL, the mean serum calcium was 9.2 ± 0.7 mg/dL, the median iPTH was 124 (65, 325) pg/mL, the median iFGF23 was 2996 (506, 9821) pg/mL, and the median cFGF23 was 5750 (1698, 12539) RU/mL. Compared with the baseline data, dietary phosphorus intake decreased and dietary calcium intake increased during the study periods. The participants exhibited reductions in serum phosphate, iPTH and iFGF23 levels and increases in calcium levels after each of the dietary interventions, whereas they exhibited progressive decreases in cFGF23 levels throughout the 9-day study period. Changes in dietary and serum mineral parameters in the study population. cFGF23: C-terminal fibroblast growth factor 23; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone. aWe calculated a 3-day average value for the estimated daily dietary intake before the study. bWe calculated a 2-day average value for the estimated dietary intake during the study period. Relationships between dietary phosphorus intake and markers of mineral metabolism: Table 3 demonstrates the relationships between dietary phosphorus intake and markers of mineral metabolism. Higher dietary phosphorus intake was strongly correlated with a higher serum phosphate level in models 1 (the univariate model) through 4 (the fully adjusted model); multivariate adjustment did not mitigate the positive association between dietary phosphorus intake and serum phosphate level. Every increase in dietary phosphorus intake of 100 mg was significantly related to an increase in serum phosphate level of 0.28 mg/dL (95% CI, 0.21–0.35, p < .001). In contrast, there was an inverse correlation between dietary phosphorus intake and serum calcium level; an increase in dietary phosphorus intake of 100 mg was significantly related to a decrease in serum calcium level of 0.06 mg/dL (95% CI, −0.11 to −0.01, p = .01) in the fully adjusted model. Associations between an increase in dietary phosphorus intake of 100 mg and changes in serum mineral parameters. cFGF23: C-terminal fibroblast growth factor 23; CI: confidence intervals; iFGF23: intact fibroblast growth factor 23; iPTH: intact parathyroid hormone; URR: urea reduction ratio. aUnivariate model. bThe adjusted variables included age, sex, body mass index, and randomized group. cThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, and phosphate-binding equivalent dose. dThe adjusted variables included age, sex, body mass index, randomized group, baseline vitamin D, baseline iPTH, baseline URR, phosphate-binding equivalent dose, total calorie intake, and dietary calcium intake. For log-transformed variables including iPTH, iFGF23 and cFGF23, the estimates are presented as percentage changes for every 100 mg increase in dietary phosphorus intake. The iPTH level increased in response to elevated dietary phosphorus intake; in the fully adjusted model, an increase in dietary phosphorus intake of 100 mg was significantly correlated with an increase in the iPTH level of 5.4% (95% CI, 1.4–9.3, p = .01). Similarly, the iFGF23 level increased as dietary phosphorus intake increased; there was a significant association in both the unadjusted and adjusted models. An increase in dietary phosphorus intake of 100 mg was significantly related to an increase in iFGF23 level of 5.0% (95% CI, 2.0–8.0, p = .001). In contrast to the levels of the abovementioned mineral markers, the cFGF23 level did not change in response to variations in dietary phosphorus intake. Discussion: Although there is considerable evidence for non-dialysis patients with CKD, this is, to our knowledge, the first study to describe acute variations in biomarkers of mineral metabolism (including FGF23, as measured with iFGF23 and cFGF23 assays) in response to variations in dietary phosphorus intake in hemodialysis patients. We conducted a post hoc analysis on existing data from our previous randomized crossover trial to investigate the acute responses of mineral metabolism markers to dietary phosphorus changes. A total of 4 repeated measurements of dietary and biochemical data obtained during a 9-day period were used, and mixed-effects models indicated that acute variations in 4 mineral parameters occurred in response to variations in dietary phosphorus intake. Specifically, dietary phosphorus intake was positively associated with serum phosphate, iPTH and iFGF23 levels and inversely associated with serum calcium levels. These findings support the evidence that dietary phosphorus intake rapidly and positively affects CKD-MBD markers, highlighting the important role of daily fluctuations in dietary habits in the clinical management of CKD-MBD in dialysis populations. Our study showed that acute changes, i.e., within days, in dietary phosphorus intake led to corresponding changes in markers of mineral metabolism. Within a 9-day period, we obtained a total of 4 repeated measurements for each participant regarding dietary and biochemical data. We demonstrated that even a small change in dietary phosphorus intake, i.e., 100 mg, caused a significant change in markers of mineral metabolism within days. Including mainly natural food sources and higher percentage of plant-derived protein, low-phosphorus diets used in our study facilitated acute change in markers of mineral metabolism. These hyper-acute changes in mineral metabolism reflect the day-to-day fluctuations of dietary phosphorus intake. Such diet-induced changes to markers of mineral metabolism may not be completely detected by the monthly surveillance of laboratory-based measures, which is the current clinical practice of dialysis. As stated in the recent review by Tibor Fülöp and his colleagues [20], nephrologists have been largely relied on objective laboratory measures that are performed on a monthly basis, and these laboratory measures, such as pre-dialysis serum phosphorus and calcium, provide a snapshot view that may not adequately capture the potentially large daily fluctuations in dietary habits. Using serum concentrations of clinical mineral parameters assumes a chronic steady state, but it is hardly true in the dialysis population because these laboratory parameters are both largely and rapidly dependent on variations in daily diet and hemodynamic instabilities during dialysis procedure. Tibor Fülöp and his colleagues [20] also pointed out that assessment of the individual patient’s clinical status based on snapshots of laboratory values are often misinterpreted and occasionally of questionable relevance. Thus, monthly snapshots of mineral parameters may not adequately characterize fluctuations in dietary intake, and cautions should be taken when interpreting these results. There are limited data concerning the association of dietary phosphorus intake with FGF23 in dialysis populations. Our systematic review and meta-analysis [15] of the currently available randomized clinical trials has demonstrated that (1) low-phosphorus diets tend to lower FGF23 levels, (2) the FGF23-lowering effects are more prominent when measured with the iFGF23 assays, and (3) no studies have included dialysis patients. In an attempt to fill this knowledge gap, we included only hemodialysis patients in a randomized crossover clinical trial comparing the FGF23-lowering effects of two low-phosphorus diets: a diet with a PPR of 8 mg/g and a diet with a PPR of 10 mg/g [18]. Notably, both low-phosphorus diets lowered the mean serum iFGF23 level by approximately 1000 pg/mL (a decrease of 18%–19%) after only 2 days, and cFGF23 was unaffected. In the current study, which pooled data from both low-phosphorus diets regarding FGF23-lowering effects, we found that every increase in dietary phosphorus intake of 100 mg was significantly associated with an increase in iFGF23 of 5% and had no effect on cFGF23 level. In accordance with the results from our systematic review and meta-analysis [15], this finding supports the involvement of a regulatory pathway in diet-mediated phosphate control in which dietary phosphorus regulates iFGF23 levels without concomitantly changing cFGF23 levels in patients with CKD. Even though low-phosphorus diets had no effect on cFGF23 within 2 days, it is noteworthy that the study participants exhibited progressive declines in median cFGF23 levels after 7 days (baseline cFGF23, 5750 [1698, 12539] vs. those after 7 days, 4737 [1550, 6197], p = .0002; baseline cFGF23 vs. those after 9 days, 2680 [1140, 5741], p < .0001) independent of the study diet interventions during the 9-day study period. As stated in a recent review by Daniel Edmonston and Myles Wolf [23], the results of iFGF23 and cFGF23 assays can be totally different depending on the balance between production and cleavage of FGF23. We did observe lags in cFGF23 level changes in response to variations in dietary phosphorus intake. Based on this observation, we hypothesize that catabolism or removal of cFGF23 from the circulation may take a few days or perhaps a week in hemodialysis patients. Future studies should be undertaken to investigate the effect of dietary phosphorus intake on FGF23 catabolism in dialysis populations. Similar to previous studies [24,25], our study showed that dietary phosphorus intake was well correlated with serum phosphate, calcium and iPTH levels. The associations were independent of baseline iPTH levels, dialysis adequacy, phosphate binder dosages, and dietary parameters including total calorie intake and dietary calcium intake, as we adjusted for these factors in the mixed-effects models. Contrary to previous studies that have assessed the long-term effects of phosphorus restriction on mineral parameters in non-dialysis populations [24,25], our study assessed short-term changes in hemodialysis patients. We obtained 4 repeated measurements of parameters within 9 days in a dialysis population with a vintage of 10 years and found significant associations between dietary phosphorus intake and mineral parameters. Of note, in a previous study enrolling non-dialysis patients [26], short-term (5-day) dietary intervention did not alter serum phosphate and calcium levels. Owing to the limited compensatory mechanisms for maintenance of serum phosphate levels in hemodialysis patients, the effects of dietary phosphorus intake on mineral metabolism markers are more rapid and stronger in these patients than in non-dialysis patients with CKD. As previously reported [27–29], we found that elevated dietary phosphorus intake acutely, directly and strongly increased serum phosphate levels and reciprocally decreased serum calcium levels. In addition to increased dietary phosphorus intake, which directly increased iPTH levels, both the resulting increases in serum phosphate levels and the simultaneous decreases in serum calcium levels increased iPTH levels [30,31] . Our study has a few limitations that deserve mentioning. First, the results of our study should be considered hypothesis-generating, because we performed a post hoc analysis of our previous randomized crossover trial. Second, our study included only hemodialysis patients with a mean vintage of 10 years and high FGF23 levels; caution should be taken when extrapolating our findings to different populations. Third, the small number of participants limited our ability to analyze all of the factors that may have been associated with dietary phosphorus intake or influenced the changes in the mineral parameters. However, this limitation was partially compensated for by the use of mixed-effects models, in which participants act as their own controls in a crossover design, and by the use of 4 repeated measurements of the changes in each individual over time. Finally, the short duration of this study did not allow us to study potential effects on clinical outcomes. Our study was able to evaluate only diet-mediated changes in biomarkers of mineral metabolism, which are considered intermediate outcomes. In conclusion, dietary phosphorus acutely regulates CKD-MBD markers in hemodialysis patients. Serum phosphate, iPTH, and iFGF23 levels increase and serum calcium levels decrease in response to elevated dietary phosphorus intake.
Background: Long-term dietary phosphorus excess influences disturbances in mineral metabolism, but it is unclear how rapidly the mineral metabolism responds to short-term dietary change in dialysis populations. Methods: This was a post hoc analysis of a randomized crossover trial that evaluated the short-term effects of low-phosphorus diets on mineral parameters in hemodialysis patients. Within a 9-day period, we obtained a total of 4 repeated measurements for each participant regarding dietary intake parameters, including calorie, phosphorus, and calcium intake, and markers of mineral metabolism, including phosphate, calcium, intact parathyroid hormone (iPTH), intact fibroblast growth factor 23 (iFGF23), and C-terminal fibroblast growth factor 23 (cFGF23). The correlations between dietary phosphorus intake and serum mineral parameters were assessed by using mixed-effects models. Results: Thirty-four patients were analyzed. In the fully adjusted model, we found that an increase in dietary phosphorus intake of 100 mg was associated with an increase in serum phosphate of 0.3 mg/dL (95% confidence intervals [CI], 0.2-0.4, p < .001), a decrease in serum calcium of 0.06 mg/dL (95% CI, -0.11 to -0.01, p = .01), an increase in iPTH of 5.4% (95% CI, 1.4-9.3, p = .01), and an increase in iFGF23 of 5.0% (95% CI, 2.0-8.0, p = .001). Dietary phosphorus intake was not related to cFGF23. Conclusions: Increased dietary phosphorus intake acutely increases serum phosphate, iPTH, and iFGF23 levels and decreases serum calcium levels, highlighting the important role of daily fluctuations of dietary habits in disturbed mineral homeostasis in hemodialysis patients.
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9,433
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[ 308, 196, 212, 108, 289, 331, 191, 292, 490 ]
13
[ "dietary", "study", "intake", "phosphorus", "dietary phosphorus", "serum", "dietary phosphorus intake", "phosphorus intake", "mg", "phosphate" ]
[ "phosphorus diets fgf23", "dietary phosphorus intake", "dialysis serum phosphorus", "increased serum phosphate", "effects dietary phosphorus" ]
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[CONTENT] Acute | dietary phosphorus | FGF23 | hemodialysis | phosphate | PTH [SUMMARY]
[CONTENT] Acute | dietary phosphorus | FGF23 | hemodialysis | phosphate | PTH [SUMMARY]
[CONTENT] Acute | dietary phosphorus | FGF23 | hemodialysis | phosphate | PTH [SUMMARY]
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[CONTENT] Acute | dietary phosphorus | FGF23 | hemodialysis | phosphate | PTH [SUMMARY]
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[CONTENT] Aged | Biomarkers | Calcium | Cross-Over Studies | Female | Fibroblast Growth Factor-23 | Fibroblast Growth Factors | Humans | Male | Middle Aged | Phosphorus | Phosphorus, Dietary | Renal Dialysis | Renal Insufficiency, Chronic | Taiwan [SUMMARY]
[CONTENT] Aged | Biomarkers | Calcium | Cross-Over Studies | Female | Fibroblast Growth Factor-23 | Fibroblast Growth Factors | Humans | Male | Middle Aged | Phosphorus | Phosphorus, Dietary | Renal Dialysis | Renal Insufficiency, Chronic | Taiwan [SUMMARY]
[CONTENT] Aged | Biomarkers | Calcium | Cross-Over Studies | Female | Fibroblast Growth Factor-23 | Fibroblast Growth Factors | Humans | Male | Middle Aged | Phosphorus | Phosphorus, Dietary | Renal Dialysis | Renal Insufficiency, Chronic | Taiwan [SUMMARY]
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[CONTENT] Aged | Biomarkers | Calcium | Cross-Over Studies | Female | Fibroblast Growth Factor-23 | Fibroblast Growth Factors | Humans | Male | Middle Aged | Phosphorus | Phosphorus, Dietary | Renal Dialysis | Renal Insufficiency, Chronic | Taiwan [SUMMARY]
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[CONTENT] phosphorus diets fgf23 | dietary phosphorus intake | dialysis serum phosphorus | increased serum phosphate | effects dietary phosphorus [SUMMARY]
[CONTENT] phosphorus diets fgf23 | dietary phosphorus intake | dialysis serum phosphorus | increased serum phosphate | effects dietary phosphorus [SUMMARY]
[CONTENT] phosphorus diets fgf23 | dietary phosphorus intake | dialysis serum phosphorus | increased serum phosphate | effects dietary phosphorus [SUMMARY]
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[CONTENT] phosphorus diets fgf23 | dietary phosphorus intake | dialysis serum phosphorus | increased serum phosphate | effects dietary phosphorus [SUMMARY]
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[CONTENT] dietary | study | intake | phosphorus | dietary phosphorus | serum | dietary phosphorus intake | phosphorus intake | mg | phosphate [SUMMARY]
[CONTENT] dietary | study | intake | phosphorus | dietary phosphorus | serum | dietary phosphorus intake | phosphorus intake | mg | phosphate [SUMMARY]
[CONTENT] dietary | study | intake | phosphorus | dietary phosphorus | serum | dietary phosphorus intake | phosphorus intake | mg | phosphate [SUMMARY]
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[CONTENT] dietary | study | intake | phosphorus | dietary phosphorus | serum | dietary phosphorus intake | phosphorus intake | mg | phosphate [SUMMARY]
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[CONTENT] phosphorus | dietary phosphorus | ckd | mineral | dietary | mbd | ckd mbd | fgf23 | patients | diet [SUMMARY]
[CONTENT] study | dietary | period | diet | day | model | serum | participants | phosphate | included [SUMMARY]
[CONTENT] intake | dietary | phosphorus intake | dietary phosphorus intake | dietary phosphorus | phosphorus | increase | level | mg | adjusted [SUMMARY]
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[CONTENT] dietary | study | intake | phosphorus | dietary phosphorus | serum | dietary phosphorus intake | phosphorus intake | mg | day [SUMMARY]
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[CONTENT] [SUMMARY]
[CONTENT] ||| 9-day | 4 | 23 | 23 ||| [SUMMARY]
[CONTENT] Thirty-four ||| 100 mg | 0.3 mg/dL | 95% ||| CI | 0.2 | .001 | 0.06 mg | 95% | CI | 5.4% | 95% | CI | 1.4-9.3 | 5.0% | 95% | CI | 2.0-8.0 | .001 ||| [SUMMARY]
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[CONTENT] ||| ||| 9-day | 4 | 23 | 23 ||| ||| Thirty-four ||| 100 mg | 0.3 mg/dL | 95% ||| CI | 0.2 | .001 | 0.06 mg | 95% | CI | 5.4% | 95% | CI | 1.4-9.3 | 5.0% | 95% | CI | 2.0-8.0 | .001 ||| ||| daily [SUMMARY]
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Strong innate immune response and cell death in chicken splenocytes infected with genotype VIId Newcastle disease virus.
22988907
Genotype VIId Newcastle disease virus (NDV) isolates induce more severe damage to lymphoid tissues, especially to the spleen, when compared to virulent viruses of other genotypes. However, the biological basis of the unusual pathological changes remains largely unknown.
BACKGROUND
Virus replication, cytokine gene expression profile and cell death response in chicken splenocytes infected with two genotype VIId NDV strains (JS5/05 and JS3/05), genotype IX NDV strain F48E8 and genotype IV NDV strain Herts/33 were evaluated. Statistical significance of differences between experimental groups was determined using the Independent-Samples T test.
METHODS
JS5/05 and JS3/05 caused hyperinduction of type I interferons (IFNs) (IFN-α and -β) during detection period compared to F48E8 and Herts/33. JS5/05 increased expression level of IFN-γ gene at 6 h post-inoculation (pi) and JS3/05 initiated sustained activation of IFN-γ within 24 h pi, whereas transcriptional levels of IFN-γ remained unchanged at any of the time points during infection of F48E8 and Herts/33. In addition, compared to F48E8 and Herts/33, JS3/05 and JS5/05 significantly increased the amount of free nucleosomal DNA in splenocytes at 6 and 24 h pi respectively. Annexin-V and Proidium iodid (PI) double staining of infected cells showed that cell death induced by JS3/05 and JS5/05 was characterized by marked necrosis compared to F48E8 and Herts/33 at 24 h pi. These results indicate that genotype VIId NDV strains JS3/05 and JS5/05 elicited stronger innate immune and cell death responses in chicken splenocytes than F48E8 and Herts/33. JS5/05 replicated at a significantly higher efficiency in splenocytes than F48E8 and Herts/33. Early excessive cell death induced by JS3/05 infection partially impaired virus replication.
RESULTS
Viral dysregulaiton of host response may be relevant to the severe pathological manifestation in the spleen following genotype VIId NDV infection.
CONCLUSIONS
[ "Animals", "Apoptosis", "Cell Death", "Cells, Cultured", "Chickens", "Genotype", "Interferon Type I", "Newcastle Disease", "Newcastle disease virus", "Poultry Diseases", "Spleen" ]
3489799
Background
Genotype VIId Newcastle disease virus (NDV) is dominant in Asia [1-3]. Many pathological studies have revealed that genotype VIId NDV isolates induce the most severe necrosis in lymphoid tissues, especially in the spleen, when compared with virulent isolates of other genotypes [4-6]. However, the basis for the unusual pathological manifestation remains unclear. Although many viral determinants for pathogenicity of NDV have been identified [7-9], few mechanistic data regarding host response to NDV infection are available. Some recent studies have demonstrated that viral modulation of host innate immune response is associated with viral pathogenesis and pathological outcomes [4,10]. Similarly, numerous studies in animal and cell models have shown that robust host immune response contributes to the pathogenesis of highly pathogenic avian H5N1 influenza virus [11,12]. In addition, apoptosis is associated with the pathogenesis of NDV. Chickens experimentally infected with virulent NDV isolates exhibited prominent apoptosis in lymphoid tissues [13-15]. Moreover, Harrison et al. have shown that the degree of apoptosis in lymphoid tissues is correlated with the severity of disease caused by NDV strains of varying virulence [15]. Based on these findings, we hypothesize that host innate immune response and apoptosis are associated with the severe destruction of lymphoid tissues following genotype VIId NDV infection. Considering that results in primary cultured cells can be closely correlated with pathogenesis in vivo, we used chicken splenocytes as an in vitro model to compare apoptosis and cytokine response following infection with two genotype VIId NDV strains JS5/05 and JS3/05, a genotype IX NDV strain F48E8 and a genotype IV NDV strain Herts/33.
Methods
Ethics statement Experimental research on animals was approved by the Jiangsu Administrative Committee for Laboratory Animals (Permission number: SYXK-SU-2007-0005), and complied with the guidelines of Jiangsu laboratory animal welfare and ethical of Jiangsu Administrative Committee of Laboratory Animals. Experimental research on animals was approved by the Jiangsu Administrative Committee for Laboratory Animals (Permission number: SYXK-SU-2007-0005), and complied with the guidelines of Jiangsu laboratory animal welfare and ethical of Jiangsu Administrative Committee of Laboratory Animals. Viruses and cells Details for viruses used in this study were listed in Table 1. Viruses were plaque-purified three times in CEF. These viruses were propagated in the allantoic cavities of 9-day-old specific-pathogen-free (SPF) embryonated chicken eggs. Virus titers were determined as 50% tissue culture infective dose (TCID50) in CEF. Chicken splenocytes were isolated as previously reported [10]. Briefly, single-cell suspensions were prepared by cutting the spleens into small pieces, gently dissociating the spleen pieces on a sterile copper wire mesh, and then purified by gradient centrifugation (500 × g, 30 min) using Histopaque 1077 (Sigma, St. Louis, USA). After washing with phosphate-buffered saline (PBS) for three times, splenocytes were resuspended in RPMI 1640 medium (Invitrogen, CA, USA). Details for viruses used in this study were listed in Table 1. Viruses were plaque-purified three times in CEF. These viruses were propagated in the allantoic cavities of 9-day-old specific-pathogen-free (SPF) embryonated chicken eggs. Virus titers were determined as 50% tissue culture infective dose (TCID50) in CEF. Chicken splenocytes were isolated as previously reported [10]. Briefly, single-cell suspensions were prepared by cutting the spleens into small pieces, gently dissociating the spleen pieces on a sterile copper wire mesh, and then purified by gradient centrifugation (500 × g, 30 min) using Histopaque 1077 (Sigma, St. Louis, USA). After washing with phosphate-buffered saline (PBS) for three times, splenocytes were resuspended in RPMI 1640 medium (Invitrogen, CA, USA). In vitro infection Viable cells were counted using trypan blue exclusion prior to infection. Total amount of splenocytes needed were inoculated with NDV strains at a multiplicity of infection (MOI) of 1. Infected cells were seeded at 1 × 106 cells/well in 24-well-plates. Samples were collected at 6, 12 and 24 h pi. Viable cells were counted using trypan blue exclusion prior to infection. Total amount of splenocytes needed were inoculated with NDV strains at a multiplicity of infection (MOI) of 1. Infected cells were seeded at 1 × 106 cells/well in 24-well-plates. Samples were collected at 6, 12 and 24 h pi. Virus replication assays Viral replication was analyzed through two different ways. Virus contents in culture supernatants were quantified using standard plaque assay in CEF. In addition, transcription levels of viral M gene were determined using qRT-PCR. Primers for M genes (Table 2) were designed based on the conserved sequences that were identified using the Megalign program (DNASTAR, Madison, WI, USA). Primers for real-time PCR a: primers for viral M gene were designed based on the results of sequence comparison as described in the Methods. Viral replication was analyzed through two different ways. Virus contents in culture supernatants were quantified using standard plaque assay in CEF. In addition, transcription levels of viral M gene were determined using qRT-PCR. Primers for M genes (Table 2) were designed based on the conserved sequences that were identified using the Megalign program (DNASTAR, Madison, WI, USA). Primers for real-time PCR a: primers for viral M gene were designed based on the results of sequence comparison as described in the Methods. Cytokine gene expression To determine host innate immune response to virus infection, the mRNA expression levels of IFN-α, IFN-β and IFN-γ were analyzed using a two-step qRT-PCR. Primers for these cytokine genes were listed in Table 2. Total RNA was isolated from splenocytes using the TRIzol reagent (Invitrogen, CA, USA). 100 nanogram (ng) of total RNA per sample was treated with 1 U DNase I (Fermentas, Maryland, USA) and used for reverse transcription reaction using 40 U M-MuLV reverse transcriptase (Fermentas, Maryland, USA) and 20 μM random primers in the presence of RNase inhibitor (Takara, Shiga, Japan) at 42°C for 90 min. cDNA and 200 nM (final concentration) each primer were mixed with 10 μl of 2 × SYBR Green PCR Master Mix (Takara). Reactions were performed in triplicate using the ABI Prism 7300 system with the following cycle profile: 1 cycle at 50°C for 2 min and 1 cycle at 95°C for 5 s followed by 40 cycles at 95°C for 5 s and 60°C for 31 s. 1 cycle for dissociation curve for all reactions was added. Relative expression levels were normalized using an internal β-actin control. The standard curve method was used to analyze the fold change of relative gene expression levels. To determine host innate immune response to virus infection, the mRNA expression levels of IFN-α, IFN-β and IFN-γ were analyzed using a two-step qRT-PCR. Primers for these cytokine genes were listed in Table 2. Total RNA was isolated from splenocytes using the TRIzol reagent (Invitrogen, CA, USA). 100 nanogram (ng) of total RNA per sample was treated with 1 U DNase I (Fermentas, Maryland, USA) and used for reverse transcription reaction using 40 U M-MuLV reverse transcriptase (Fermentas, Maryland, USA) and 20 μM random primers in the presence of RNase inhibitor (Takara, Shiga, Japan) at 42°C for 90 min. cDNA and 200 nM (final concentration) each primer were mixed with 10 μl of 2 × SYBR Green PCR Master Mix (Takara). Reactions were performed in triplicate using the ABI Prism 7300 system with the following cycle profile: 1 cycle at 50°C for 2 min and 1 cycle at 95°C for 5 s followed by 40 cycles at 95°C for 5 s and 60°C for 31 s. 1 cycle for dissociation curve for all reactions was added. Relative expression levels were normalized using an internal β-actin control. The standard curve method was used to analyze the fold change of relative gene expression levels. Apoptosis assay To measure virus-induced apoptosis, free nucleosomal DNA in cytoplasm was detected using the Cell Death Detection ELISA kit (Roche, Mannheim, Germany) according to the manual. Infected cells were pelleted by centrifugation and lysed with the lysis buffer from the kit. 20 μl of the cytoplasmic fraction of cell lysates was used to examine the release of free nucleosomal DNA. To measure virus-induced apoptosis, free nucleosomal DNA in cytoplasm was detected using the Cell Death Detection ELISA kit (Roche, Mannheim, Germany) according to the manual. Infected cells were pelleted by centrifugation and lysed with the lysis buffer from the kit. 20 μl of the cytoplasmic fraction of cell lysates was used to examine the release of free nucleosomal DNA. Annexin-V and PI double staining NDV-induced CPE is associated with apoptosis. To evaluate morphological changes in infected cells, we used Annexin-V and PI that can differentiate changes in cellular structure in the process of programmed cell death. In the early stage of apoptosis, phosphatidylserine (PS) exposes upon the outer leaflet of the cell membrane, which can be detected by Annexin-V with high affinity. In the late stage of apoptosis, leaky necrotic cells release DNA that can be stained by PI. Annexin-V-FLUOS staining kit (Roche, Mannheim, Germany) was used to label splenocytes collected at 24 h pi as recommended by the producer. NDV-induced CPE is associated with apoptosis. To evaluate morphological changes in infected cells, we used Annexin-V and PI that can differentiate changes in cellular structure in the process of programmed cell death. In the early stage of apoptosis, phosphatidylserine (PS) exposes upon the outer leaflet of the cell membrane, which can be detected by Annexin-V with high affinity. In the late stage of apoptosis, leaky necrotic cells release DNA that can be stained by PI. Annexin-V-FLUOS staining kit (Roche, Mannheim, Germany) was used to label splenocytes collected at 24 h pi as recommended by the producer. Statistical analysis Statistical significance of differences between experimental groups was determined using the Independent-Samples T test. Values of P < 0.05 were considered significant. Statistical significance of differences between experimental groups was determined using the Independent-Samples T test. Values of P < 0.05 were considered significant.
Results
Virus replication in splenocytes To evaluate difference in replication of NDV strains from different genotypes in chicken splenocytes, we determined virus amounts in culture supernatants and transcriptional levels of viral matrix (M) gene. Titration test showed that culture supernatants of JS5/05-inoculated splenocytes had the largest amount of virus at 6 h post-inoculation (pi) than those of cells inoculated with other tested viruses (Figure 1A). In addition, JS5/05 maintained this high replication efficiency during detection period. At 12 and 24 h pi, F48E8 also showed high replication efficiency in splenocytes, which is consistent with its high virus titer in chicken embryo fibroblasts (CEF) (Table 1). Moreover, JS3/05 replicated with relative low efficiency when compared to JS5/05 and F48E8. Splenocytes inoculated with Herts/33 released the lowest amount of virus into culture supernatants among these four NDV strains. Data of quantitative real-time polymerase chain reaction (qRT-PCR) agreed with the results of titration assay (Figure 1B). M gene transcription levels of JS5/05 strain were significantly higher than those of F48E8 and Herts/33 strain at any of the time points. However, JS3/05 showed relative low M gene expression levels than JS5/05 and F48E8, which may be attributed to the early cell death induced by JS3/05 infection (Figure 2). These results suggest that high replication efficiency of genotype VIId NDV in splenocytes was isolate-specific and NDV replication may be partially associated with virus-induced cell death. Characterization of virus replication in splenocytes. (A) Virus titration of culture supernatants from virus-infected splenocytes using plaque formation test in CEF. (B) Analysis of viral M gene transcription profiles using qRT-PCR. The transcription levels of viral M gene were normalized to those of β-actin gene in the corresponding sample. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups. Background information of NDV strains used in this study Detection of free nucleosomal DNA in the cytoplasm of infected splenocytes. Cytoplasmic fractions of inoculated cells were used for detection of fragmented DNA by ELISA. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups. To evaluate difference in replication of NDV strains from different genotypes in chicken splenocytes, we determined virus amounts in culture supernatants and transcriptional levels of viral matrix (M) gene. Titration test showed that culture supernatants of JS5/05-inoculated splenocytes had the largest amount of virus at 6 h post-inoculation (pi) than those of cells inoculated with other tested viruses (Figure 1A). In addition, JS5/05 maintained this high replication efficiency during detection period. At 12 and 24 h pi, F48E8 also showed high replication efficiency in splenocytes, which is consistent with its high virus titer in chicken embryo fibroblasts (CEF) (Table 1). Moreover, JS3/05 replicated with relative low efficiency when compared to JS5/05 and F48E8. Splenocytes inoculated with Herts/33 released the lowest amount of virus into culture supernatants among these four NDV strains. Data of quantitative real-time polymerase chain reaction (qRT-PCR) agreed with the results of titration assay (Figure 1B). M gene transcription levels of JS5/05 strain were significantly higher than those of F48E8 and Herts/33 strain at any of the time points. However, JS3/05 showed relative low M gene expression levels than JS5/05 and F48E8, which may be attributed to the early cell death induced by JS3/05 infection (Figure 2). These results suggest that high replication efficiency of genotype VIId NDV in splenocytes was isolate-specific and NDV replication may be partially associated with virus-induced cell death. Characterization of virus replication in splenocytes. (A) Virus titration of culture supernatants from virus-infected splenocytes using plaque formation test in CEF. (B) Analysis of viral M gene transcription profiles using qRT-PCR. The transcription levels of viral M gene were normalized to those of β-actin gene in the corresponding sample. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups. Background information of NDV strains used in this study Detection of free nucleosomal DNA in the cytoplasm of infected splenocytes. Cytoplasmic fractions of inoculated cells were used for detection of fragmented DNA by ELISA. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups. Apoptosis assay We next quantitatively determined cytoplasmic histone-associated-DNA-fragments using enzyme linked immunosorbent assay (ELISA) to evaluate virus-induced apoptosis. We only focused on the difference in apoptosis between genotype VIId NDV strains and viruses of other genotypes. As shown in Figure 2, at 6 h pi, the absorbance value of splenocytes inoculated with JS3/05 was significantly higher than that of cells inoculated with F48E8 and Herts/33. At 12 h pi, the absorbance values of splenocytes infected with all viruses were comparable. At 24 h pi, JS5/05-inocualted cells produced significantly higher absorbance values than those of F48E8- and Herts-inoculated cells. These findings demonstrated that splenocytes infected with genotype VIId NDVs (JS5/05 and JS3/05) were richer in free nucleosomal DNA than those infected with F48E8 and Herts/33, indicating that JS3/05 and JS5/05 induced stronger apoptosis in splenocytes when compared to F48E8 and Herts/33. We next quantitatively determined cytoplasmic histone-associated-DNA-fragments using enzyme linked immunosorbent assay (ELISA) to evaluate virus-induced apoptosis. We only focused on the difference in apoptosis between genotype VIId NDV strains and viruses of other genotypes. As shown in Figure 2, at 6 h pi, the absorbance value of splenocytes inoculated with JS3/05 was significantly higher than that of cells inoculated with F48E8 and Herts/33. At 12 h pi, the absorbance values of splenocytes infected with all viruses were comparable. At 24 h pi, JS5/05-inocualted cells produced significantly higher absorbance values than those of F48E8- and Herts-inoculated cells. These findings demonstrated that splenocytes infected with genotype VIId NDVs (JS5/05 and JS3/05) were richer in free nucleosomal DNA than those infected with F48E8 and Herts/33, indicating that JS3/05 and JS5/05 induced stronger apoptosis in splenocytes when compared to F48E8 and Herts/33. Cytokine gene expression profile Interferons (IFNs) are important members of host innate arm of immunity to prevent virus infection. However, overproduction of IFNs is also related to cytokine storm that contributes to viral immunopathogenesis. We used qRT-PCR to characterize expression profiles of IFN genes, including IFN-α, IFN-β and IFN-γ, to provide insights into the role of innate immune response in pathogenesis of NDV. The results showed that JS3/05 and JS5/05 slightly upregulated expression level of IFN-α at 6 and 12 h pi and these two viruses increased expression values of IFN-α at 24 h pi (4-fold for JS5/05 and 2-fold for JS3/05) (Figure 3A). However, in F48E8- or Herts/33-infected cells, the transcription levels of IFN-α did not appear to change at any of the time points (Figure 3A). Transcription levels of IFN-β did not show notable changes at 6 h pi in cells infected with four tested NDVs. At 12 h pi, only JS3/05-inoculated cells showed a 2.3-fold increase of IFN-β expression. At 24 h pi, a 2.8-fold increase of IFN-β expression was detected in splenocytes infected with JS5/05 and 2.2-fold increase for JS3/05. In contrast, IFN-β remained unchanged during detection period in F48E8- and Herts/33-inoculated cells (Figure 3B). IFN-γ RNA amounts were increased by two genotype VIId NDV strains (3.3-fold for JS5/05 and 2.5-fold for JS3/05) at 6 h pi. IFN-γ expression levels in JS5/05-inocualted cells decreased at a stepwise pattern at 12 and 24 h pi. JS3/05 increased expression level of IFN-γ gene up to 12-fold at 12 h pi and high value (5-fold increase) was also observed at 24 h pi. However, no marked change in IFN-γ expression was found for F48E8 and Herts/33 (Figure 3C). These results suggest that JS5/05 and JS3/05 triggered a more potent innate immune response compared to F48E8 and Herts/33. Determination of mRNA expression of IFN-α, IFN-β and IFN-γ genes in the splenocytes. Profiles of IFN-α, IFN-β and IFN-γ gene expression were shown in panel A, B and C respectively. The standard curve method was used to analyze the fold change of relative gene expression levels between mock-infected and infected cells. Relative expression levels were normalized to the internal β-actin. The data are the mean fold change ± standard deviation (SD). Interferons (IFNs) are important members of host innate arm of immunity to prevent virus infection. However, overproduction of IFNs is also related to cytokine storm that contributes to viral immunopathogenesis. We used qRT-PCR to characterize expression profiles of IFN genes, including IFN-α, IFN-β and IFN-γ, to provide insights into the role of innate immune response in pathogenesis of NDV. The results showed that JS3/05 and JS5/05 slightly upregulated expression level of IFN-α at 6 and 12 h pi and these two viruses increased expression values of IFN-α at 24 h pi (4-fold for JS5/05 and 2-fold for JS3/05) (Figure 3A). However, in F48E8- or Herts/33-infected cells, the transcription levels of IFN-α did not appear to change at any of the time points (Figure 3A). Transcription levels of IFN-β did not show notable changes at 6 h pi in cells infected with four tested NDVs. At 12 h pi, only JS3/05-inoculated cells showed a 2.3-fold increase of IFN-β expression. At 24 h pi, a 2.8-fold increase of IFN-β expression was detected in splenocytes infected with JS5/05 and 2.2-fold increase for JS3/05. In contrast, IFN-β remained unchanged during detection period in F48E8- and Herts/33-inoculated cells (Figure 3B). IFN-γ RNA amounts were increased by two genotype VIId NDV strains (3.3-fold for JS5/05 and 2.5-fold for JS3/05) at 6 h pi. IFN-γ expression levels in JS5/05-inocualted cells decreased at a stepwise pattern at 12 and 24 h pi. JS3/05 increased expression level of IFN-γ gene up to 12-fold at 12 h pi and high value (5-fold increase) was also observed at 24 h pi. However, no marked change in IFN-γ expression was found for F48E8 and Herts/33 (Figure 3C). These results suggest that JS5/05 and JS3/05 triggered a more potent innate immune response compared to F48E8 and Herts/33. Determination of mRNA expression of IFN-α, IFN-β and IFN-γ genes in the splenocytes. Profiles of IFN-α, IFN-β and IFN-γ gene expression were shown in panel A, B and C respectively. The standard curve method was used to analyze the fold change of relative gene expression levels between mock-infected and infected cells. Relative expression levels were normalized to the internal β-actin. The data are the mean fold change ± standard deviation (SD). Annexin-V and PI double staining Virus-induced cytopathic effect (CPE) is related to virus replication efficiency in host cells and virus pathogenicity. Apoptosis is a critical mechanism of NDV-induced CPE. We then used Annexin-V and PI double staining that can differentiate early apoptotic cells and necrotic cells to evaluate morphological changes caused by NDV isolates of different genotypes. At 24 h pi, splenocyets infected with JS3/05 were characterized with the presence of large amount of cellular DNA released from lysed necrotic cells. Many apoptotic and necrotic cells coexisted in splenocytes infected with JS5/05, and these necrotic cells did not completely lose membrane integrity (Figure 4). This finding is consistent with the high level of free nucleosomal DNA detected using ELISA in JS5/05-inoculated cells at 24 h pi (Figure 2). In contrast, there were fewer apoptotic and necrotic cells in splenocytes infected with F48E8 and Herts/33 (Figure 4). These results showed that in addition to apoptosis, genotype VIId NDV isolates also induced marked cellular necrosis compared to F48E8 and Herts/33, which may have effect on virus replication and viral pathogenicity. Annexin-V and PI doubling staining of virus-inoculated splenocytes. (A) JS3/05. (B) JS5/05. (C) F48E8. (D) Herts/33. (E) Control. Green: early apoptotic cells with PS exposure upon the outer leaflet of the cell membrane (Annexin-V +); Green and red: late necrotic cells with PS exposure and the ruptured membrane (Annexin-V/PI +); Red: released cellular DNA from leaky necrotic cells (PI +). Magnification, × 400. Virus-induced cytopathic effect (CPE) is related to virus replication efficiency in host cells and virus pathogenicity. Apoptosis is a critical mechanism of NDV-induced CPE. We then used Annexin-V and PI double staining that can differentiate early apoptotic cells and necrotic cells to evaluate morphological changes caused by NDV isolates of different genotypes. At 24 h pi, splenocyets infected with JS3/05 were characterized with the presence of large amount of cellular DNA released from lysed necrotic cells. Many apoptotic and necrotic cells coexisted in splenocytes infected with JS5/05, and these necrotic cells did not completely lose membrane integrity (Figure 4). This finding is consistent with the high level of free nucleosomal DNA detected using ELISA in JS5/05-inoculated cells at 24 h pi (Figure 2). In contrast, there were fewer apoptotic and necrotic cells in splenocytes infected with F48E8 and Herts/33 (Figure 4). These results showed that in addition to apoptosis, genotype VIId NDV isolates also induced marked cellular necrosis compared to F48E8 and Herts/33, which may have effect on virus replication and viral pathogenicity. Annexin-V and PI doubling staining of virus-inoculated splenocytes. (A) JS3/05. (B) JS5/05. (C) F48E8. (D) Herts/33. (E) Control. Green: early apoptotic cells with PS exposure upon the outer leaflet of the cell membrane (Annexin-V +); Green and red: late necrotic cells with PS exposure and the ruptured membrane (Annexin-V/PI +); Red: released cellular DNA from leaky necrotic cells (PI +). Magnification, × 400.
Conclusions
In summary, genotype VIId NDV isolates (JS5/05 and JS3/05) induced stronger innate immune and cell death responses than genotype IX NDV strain F48E8 and genotype IV NDV strain Herts/33 in chicken splenocytes. This in vitro evidence indicates that dysregulation of host response may contribute to severe tissue damage in the lymphoid system caused by genotype VIId NDV. This study also highlights that besides standard pathogenicity indices, evaluation of viral-host interaction is required for full characterization of NDV isolates.
[ "Background", "Virus replication in splenocytes", "Apoptosis assay", "Cytokine gene expression profile", "Annexin-V and PI double staining", "Ethics statement", "Viruses and cells", "In vitro infection", "Virus replication assays", "Cytokine gene expression", "Apoptosis assay", "Annexin-V and PI double staining", "Statistical analysis", "Abbreviations", "Competing interests", "Authors’ contributions", "Authors’ information" ]
[ "Genotype VIId Newcastle disease virus (NDV) is dominant in Asia [1-3]. Many pathological studies have revealed that genotype VIId NDV isolates induce the most severe necrosis in lymphoid tissues, especially in the spleen, when compared with virulent isolates of other genotypes [4-6]. However, the basis for the unusual pathological manifestation remains unclear.\nAlthough many viral determinants for pathogenicity of NDV have been identified [7-9], few mechanistic data regarding host response to NDV infection are available. Some recent studies have demonstrated that viral modulation of host innate immune response is associated with viral pathogenesis and pathological outcomes [4,10]. Similarly, numerous studies in animal and cell models have shown that robust host immune response contributes to the pathogenesis of highly pathogenic avian H5N1 influenza virus [11,12].\nIn addition, apoptosis is associated with the pathogenesis of NDV. Chickens experimentally infected with virulent NDV isolates exhibited prominent apoptosis in lymphoid tissues [13-15]. Moreover, Harrison et al. have shown that the degree of apoptosis in lymphoid tissues is correlated with the severity of disease caused by NDV strains of varying virulence [15].\nBased on these findings, we hypothesize that host innate immune response and apoptosis are associated with the severe destruction of lymphoid tissues following genotype VIId NDV infection.\nConsidering that results in primary cultured cells can be closely correlated with pathogenesis in vivo, we used chicken splenocytes as an in vitro model to compare apoptosis and cytokine response following infection with two genotype VIId NDV strains JS5/05 and JS3/05, a genotype IX NDV strain F48E8 and a genotype IV NDV strain Herts/33.", "To evaluate difference in replication of NDV strains from different genotypes in chicken splenocytes, we determined virus amounts in culture supernatants and transcriptional levels of viral matrix (M) gene. Titration test showed that culture supernatants of JS5/05-inoculated splenocytes had the largest amount of virus at 6 h post-inoculation (pi) than those of cells inoculated with other tested viruses (Figure 1A). In addition, JS5/05 maintained this high replication efficiency during detection period. At 12 and 24 h pi, F48E8 also showed high replication efficiency in splenocytes, which is consistent with its high virus titer in chicken embryo fibroblasts (CEF) (Table 1). Moreover, JS3/05 replicated with relative low efficiency when compared to JS5/05 and F48E8. Splenocytes inoculated with Herts/33 released the lowest amount of virus into culture supernatants among these four NDV strains. Data of quantitative real-time polymerase chain reaction (qRT-PCR) agreed with the results of titration assay (Figure 1B). M gene transcription levels of JS5/05 strain were significantly higher than those of F48E8 and Herts/33 strain at any of the time points. However, JS3/05 showed relative low M gene expression levels than JS5/05 and F48E8, which may be attributed to the early cell death induced by JS3/05 infection (Figure 2). These results suggest that high replication efficiency of genotype VIId NDV in splenocytes was isolate-specific and NDV replication may be partially associated with virus-induced cell death.\n Characterization of virus replication in splenocytes. (A) Virus titration of culture supernatants from virus-infected splenocytes using plaque formation test in CEF. (B) Analysis of viral M gene transcription profiles using qRT-PCR. The transcription levels of viral M gene were normalized to those of β-actin gene in the corresponding sample. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups.\nBackground information of NDV strains used in this study\n Detection of free nucleosomal DNA in the cytoplasm of infected splenocytes. Cytoplasmic fractions of inoculated cells were used for detection of fragmented DNA by ELISA. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups.", "We next quantitatively determined cytoplasmic histone-associated-DNA-fragments using enzyme linked immunosorbent assay (ELISA) to evaluate virus-induced apoptosis. We only focused on the difference in apoptosis between genotype VIId NDV strains and viruses of other genotypes. As shown in Figure 2, at 6 h pi, the absorbance value of splenocytes inoculated with JS3/05 was significantly higher than that of cells inoculated with F48E8 and Herts/33. At 12 h pi, the absorbance values of splenocytes infected with all viruses were comparable. At 24 h pi, JS5/05-inocualted cells produced significantly higher absorbance values than those of F48E8- and Herts-inoculated cells. These findings demonstrated that splenocytes infected with genotype VIId NDVs (JS5/05 and JS3/05) were richer in free nucleosomal DNA than those infected with F48E8 and Herts/33, indicating that JS3/05 and JS5/05 induced stronger apoptosis in splenocytes when compared to F48E8 and Herts/33.", "Interferons (IFNs) are important members of host innate arm of immunity to prevent virus infection. However, overproduction of IFNs is also related to cytokine storm that contributes to viral immunopathogenesis. We used qRT-PCR to characterize expression profiles of IFN genes, including IFN-α, IFN-β and IFN-γ, to provide insights into the role of innate immune response in pathogenesis of NDV. The results showed that JS3/05 and JS5/05 slightly upregulated expression level of IFN-α at 6 and 12 h pi and these two viruses increased expression values of IFN-α at 24 h pi (4-fold for JS5/05 and 2-fold for JS3/05) (Figure 3A). However, in F48E8- or Herts/33-infected cells, the transcription levels of IFN-α did not appear to change at any of the time points (Figure 3A). Transcription levels of IFN-β did not show notable changes at 6 h pi in cells infected with four tested NDVs. At 12 h pi, only JS3/05-inoculated cells showed a 2.3-fold increase of IFN-β expression. At 24 h pi, a 2.8-fold increase of IFN-β expression was detected in splenocytes infected with JS5/05 and 2.2-fold increase for JS3/05. In contrast, IFN-β remained unchanged during detection period in F48E8- and Herts/33-inoculated cells (Figure 3B). IFN-γ RNA amounts were increased by two genotype VIId NDV strains (3.3-fold for JS5/05 and 2.5-fold for JS3/05) at 6 h pi. IFN-γ expression levels in JS5/05-inocualted cells decreased at a stepwise pattern at 12 and 24 h pi. JS3/05 increased expression level of IFN-γ gene up to 12-fold at 12 h pi and high value (5-fold increase) was also observed at 24 h pi. However, no marked change in IFN-γ expression was found for F48E8 and Herts/33 (Figure 3C). These results suggest that JS5/05 and JS3/05 triggered a more potent innate immune response compared to F48E8 and Herts/33.\n Determination of mRNA expression of IFN-α, IFN-β and IFN-γ genes in the splenocytes. Profiles of IFN-α, IFN-β and IFN-γ gene expression were shown in panel A, B and C respectively. The standard curve method was used to analyze the fold change of relative gene expression levels between mock-infected and infected cells. Relative expression levels were normalized to the internal β-actin. The data are the mean fold change ± standard deviation (SD).", "Virus-induced cytopathic effect (CPE) is related to virus replication efficiency in host cells and virus pathogenicity. Apoptosis is a critical mechanism of NDV-induced CPE. We then used Annexin-V and PI double staining that can differentiate early apoptotic cells and necrotic cells to evaluate morphological changes caused by NDV isolates of different genotypes. At 24 h pi, splenocyets infected with JS3/05 were characterized with the presence of large amount of cellular DNA released from lysed necrotic cells. Many apoptotic and necrotic cells coexisted in splenocytes infected with JS5/05, and these necrotic cells did not completely lose membrane integrity (Figure 4). This finding is consistent with the high level of free nucleosomal DNA detected using ELISA in JS5/05-inoculated cells at 24 h pi (Figure 2). In contrast, there were fewer apoptotic and necrotic cells in splenocytes infected with F48E8 and Herts/33 (Figure 4). These results showed that in addition to apoptosis, genotype VIId NDV isolates also induced marked cellular necrosis compared to F48E8 and Herts/33, which may have effect on virus replication and viral pathogenicity.\n Annexin-V and PI doubling staining of virus-inoculated splenocytes. (A) JS3/05. (B) JS5/05. (C) F48E8. (D) Herts/33. (E) Control. Green: early apoptotic cells with PS exposure upon the outer leaflet of the cell membrane (Annexin-V +); Green and red: late necrotic cells with PS exposure and the ruptured membrane (Annexin-V/PI +); Red: released cellular DNA from leaky necrotic cells (PI +). Magnification, × 400.", "Experimental research on animals was approved by the Jiangsu Administrative Committee for Laboratory Animals (Permission number: SYXK-SU-2007-0005), and complied with the guidelines of Jiangsu laboratory animal welfare and ethical of Jiangsu Administrative Committee of Laboratory Animals.", "Details for viruses used in this study were listed in Table 1. Viruses were plaque-purified three times in CEF. These viruses were propagated in the allantoic cavities of 9-day-old specific-pathogen-free (SPF) embryonated chicken eggs. Virus titers were determined as 50% tissue culture infective dose (TCID50) in CEF.\nChicken splenocytes were isolated as previously reported [10]. Briefly, single-cell suspensions were prepared by cutting the spleens into small pieces, gently dissociating the spleen pieces on a sterile copper wire mesh, and then purified by gradient centrifugation (500 × g, 30 min) using Histopaque 1077 (Sigma, St. Louis, USA). After washing with phosphate-buffered saline (PBS) for three times, splenocytes were resuspended in RPMI 1640 medium (Invitrogen, CA, USA).", "Viable cells were counted using trypan blue exclusion prior to infection. Total amount of splenocytes needed were inoculated with NDV strains at a multiplicity of infection (MOI) of 1. Infected cells were seeded at 1 × 106 cells/well in 24-well-plates. Samples were collected at 6, 12 and 24 h pi.", "Viral replication was analyzed through two different ways. Virus contents in culture supernatants were quantified using standard plaque assay in CEF. In addition, transcription levels of viral M gene were determined using qRT-PCR. Primers for M genes (Table 2) were designed based on the conserved sequences that were identified using the Megalign program (DNASTAR, Madison, WI, USA).\nPrimers for real-time PCR\na: primers for viral M gene were designed based on the results of sequence comparison as described in the Methods.", "To determine host innate immune response to virus infection, the mRNA expression levels of IFN-α, IFN-β and IFN-γ were analyzed using a two-step qRT-PCR. Primers for these cytokine genes were listed in Table 2. Total RNA was isolated from splenocytes using the TRIzol reagent (Invitrogen, CA, USA). 100 nanogram (ng) of total RNA per sample was treated with 1 U DNase I (Fermentas, Maryland, USA) and used for reverse transcription reaction using 40 U M-MuLV reverse transcriptase (Fermentas, Maryland, USA) and 20 μM random primers in the presence of RNase inhibitor (Takara, Shiga, Japan) at 42°C for 90 min. cDNA and 200 nM (final concentration) each primer were mixed with 10 μl of 2 × SYBR Green PCR Master Mix (Takara). Reactions were performed in triplicate using the ABI Prism 7300 system with the following cycle profile: 1 cycle at 50°C for 2 min and 1 cycle at 95°C for 5 s followed by 40 cycles at 95°C for 5 s and 60°C for 31 s. 1 cycle for dissociation curve for all reactions was added. Relative expression levels were normalized using an internal β-actin control. The standard curve method was used to analyze the fold change of relative gene expression levels.", "To measure virus-induced apoptosis, free nucleosomal DNA in cytoplasm was detected using the Cell Death Detection ELISA kit (Roche, Mannheim, Germany) according to the manual. Infected cells were pelleted by centrifugation and lysed with the lysis buffer from the kit. 20 μl of the cytoplasmic fraction of cell lysates was used to examine the release of free nucleosomal DNA.", "NDV-induced CPE is associated with apoptosis. To evaluate morphological changes in infected cells, we used Annexin-V and PI that can differentiate changes in cellular structure in the process of programmed cell death. In the early stage of apoptosis, phosphatidylserine (PS) exposes upon the outer leaflet of the cell membrane, which can be detected by Annexin-V with high affinity. In the late stage of apoptosis, leaky necrotic cells release DNA that can be stained by PI. Annexin-V-FLUOS staining kit (Roche, Mannheim, Germany) was used to label splenocytes collected at 24 h pi as recommended by the producer.", "Statistical significance of differences between experimental groups was determined using the Independent-Samples T test. Values of P < 0.05 were considered significant.", "CEF: Chicken embryo fibroblasts; CPE: Cytopathic effect; ELISA: Enzyme linked immunosorbent assay; IFN: Interferon; IRFs: IFN regulatory factors; M: Matrix; MOI: Multiplicity of infection; NDV: Newcastle disease virus; Ng: Nanogram; PBS: Phosphate-buffered saline; Pi: Post-inoculation; PI: Proidium iodid; PKR: Protein kinase R; PS: Phosphatidylserine; qRT-PCR: Quantitative real-time polymerase chain reaction; SPF: Specific-pathogen-free; TCID50: 50% tissue culture infective dose; TRAIL: TNF-related apoptosis-inducing ligand.", "The authors declare that they have no competing interests.", "ZH and XL conceived and designed the experiments. ZH, JH and JZ performed the experiments. SH, XWL and XW contributed to the design of the study and revision of the draft. All the authors have read and approved the final manuscript.", "1Animal Infectious Disease Laboratory, 2Ministry of Education Key Lab for Avian Preventive Medicine, School of Veterinary Medicine, Yangzhou University, 12 East Wenhui Road, Yangzhou, Jiangsu Province, 225009, China." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Results", "Virus replication in splenocytes", "Apoptosis assay", "Cytokine gene expression profile", "Annexin-V and PI double staining", "Discussion", "Conclusions", "Methods", "Ethics statement", "Viruses and cells", "In vitro infection", "Virus replication assays", "Cytokine gene expression", "Apoptosis assay", "Annexin-V and PI double staining", "Statistical analysis", "Abbreviations", "Competing interests", "Authors’ contributions", "Authors’ information" ]
[ "Genotype VIId Newcastle disease virus (NDV) is dominant in Asia [1-3]. Many pathological studies have revealed that genotype VIId NDV isolates induce the most severe necrosis in lymphoid tissues, especially in the spleen, when compared with virulent isolates of other genotypes [4-6]. However, the basis for the unusual pathological manifestation remains unclear.\nAlthough many viral determinants for pathogenicity of NDV have been identified [7-9], few mechanistic data regarding host response to NDV infection are available. Some recent studies have demonstrated that viral modulation of host innate immune response is associated with viral pathogenesis and pathological outcomes [4,10]. Similarly, numerous studies in animal and cell models have shown that robust host immune response contributes to the pathogenesis of highly pathogenic avian H5N1 influenza virus [11,12].\nIn addition, apoptosis is associated with the pathogenesis of NDV. Chickens experimentally infected with virulent NDV isolates exhibited prominent apoptosis in lymphoid tissues [13-15]. Moreover, Harrison et al. have shown that the degree of apoptosis in lymphoid tissues is correlated with the severity of disease caused by NDV strains of varying virulence [15].\nBased on these findings, we hypothesize that host innate immune response and apoptosis are associated with the severe destruction of lymphoid tissues following genotype VIId NDV infection.\nConsidering that results in primary cultured cells can be closely correlated with pathogenesis in vivo, we used chicken splenocytes as an in vitro model to compare apoptosis and cytokine response following infection with two genotype VIId NDV strains JS5/05 and JS3/05, a genotype IX NDV strain F48E8 and a genotype IV NDV strain Herts/33.", " Virus replication in splenocytes To evaluate difference in replication of NDV strains from different genotypes in chicken splenocytes, we determined virus amounts in culture supernatants and transcriptional levels of viral matrix (M) gene. Titration test showed that culture supernatants of JS5/05-inoculated splenocytes had the largest amount of virus at 6 h post-inoculation (pi) than those of cells inoculated with other tested viruses (Figure 1A). In addition, JS5/05 maintained this high replication efficiency during detection period. At 12 and 24 h pi, F48E8 also showed high replication efficiency in splenocytes, which is consistent with its high virus titer in chicken embryo fibroblasts (CEF) (Table 1). Moreover, JS3/05 replicated with relative low efficiency when compared to JS5/05 and F48E8. Splenocytes inoculated with Herts/33 released the lowest amount of virus into culture supernatants among these four NDV strains. Data of quantitative real-time polymerase chain reaction (qRT-PCR) agreed with the results of titration assay (Figure 1B). M gene transcription levels of JS5/05 strain were significantly higher than those of F48E8 and Herts/33 strain at any of the time points. However, JS3/05 showed relative low M gene expression levels than JS5/05 and F48E8, which may be attributed to the early cell death induced by JS3/05 infection (Figure 2). These results suggest that high replication efficiency of genotype VIId NDV in splenocytes was isolate-specific and NDV replication may be partially associated with virus-induced cell death.\n Characterization of virus replication in splenocytes. (A) Virus titration of culture supernatants from virus-infected splenocytes using plaque formation test in CEF. (B) Analysis of viral M gene transcription profiles using qRT-PCR. The transcription levels of viral M gene were normalized to those of β-actin gene in the corresponding sample. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups.\nBackground information of NDV strains used in this study\n Detection of free nucleosomal DNA in the cytoplasm of infected splenocytes. Cytoplasmic fractions of inoculated cells were used for detection of fragmented DNA by ELISA. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups.\nTo evaluate difference in replication of NDV strains from different genotypes in chicken splenocytes, we determined virus amounts in culture supernatants and transcriptional levels of viral matrix (M) gene. Titration test showed that culture supernatants of JS5/05-inoculated splenocytes had the largest amount of virus at 6 h post-inoculation (pi) than those of cells inoculated with other tested viruses (Figure 1A). In addition, JS5/05 maintained this high replication efficiency during detection period. At 12 and 24 h pi, F48E8 also showed high replication efficiency in splenocytes, which is consistent with its high virus titer in chicken embryo fibroblasts (CEF) (Table 1). Moreover, JS3/05 replicated with relative low efficiency when compared to JS5/05 and F48E8. Splenocytes inoculated with Herts/33 released the lowest amount of virus into culture supernatants among these four NDV strains. Data of quantitative real-time polymerase chain reaction (qRT-PCR) agreed with the results of titration assay (Figure 1B). M gene transcription levels of JS5/05 strain were significantly higher than those of F48E8 and Herts/33 strain at any of the time points. However, JS3/05 showed relative low M gene expression levels than JS5/05 and F48E8, which may be attributed to the early cell death induced by JS3/05 infection (Figure 2). These results suggest that high replication efficiency of genotype VIId NDV in splenocytes was isolate-specific and NDV replication may be partially associated with virus-induced cell death.\n Characterization of virus replication in splenocytes. (A) Virus titration of culture supernatants from virus-infected splenocytes using plaque formation test in CEF. (B) Analysis of viral M gene transcription profiles using qRT-PCR. The transcription levels of viral M gene were normalized to those of β-actin gene in the corresponding sample. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups.\nBackground information of NDV strains used in this study\n Detection of free nucleosomal DNA in the cytoplasm of infected splenocytes. Cytoplasmic fractions of inoculated cells were used for detection of fragmented DNA by ELISA. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups.\n Apoptosis assay We next quantitatively determined cytoplasmic histone-associated-DNA-fragments using enzyme linked immunosorbent assay (ELISA) to evaluate virus-induced apoptosis. We only focused on the difference in apoptosis between genotype VIId NDV strains and viruses of other genotypes. As shown in Figure 2, at 6 h pi, the absorbance value of splenocytes inoculated with JS3/05 was significantly higher than that of cells inoculated with F48E8 and Herts/33. At 12 h pi, the absorbance values of splenocytes infected with all viruses were comparable. At 24 h pi, JS5/05-inocualted cells produced significantly higher absorbance values than those of F48E8- and Herts-inoculated cells. These findings demonstrated that splenocytes infected with genotype VIId NDVs (JS5/05 and JS3/05) were richer in free nucleosomal DNA than those infected with F48E8 and Herts/33, indicating that JS3/05 and JS5/05 induced stronger apoptosis in splenocytes when compared to F48E8 and Herts/33.\nWe next quantitatively determined cytoplasmic histone-associated-DNA-fragments using enzyme linked immunosorbent assay (ELISA) to evaluate virus-induced apoptosis. We only focused on the difference in apoptosis between genotype VIId NDV strains and viruses of other genotypes. As shown in Figure 2, at 6 h pi, the absorbance value of splenocytes inoculated with JS3/05 was significantly higher than that of cells inoculated with F48E8 and Herts/33. At 12 h pi, the absorbance values of splenocytes infected with all viruses were comparable. At 24 h pi, JS5/05-inocualted cells produced significantly higher absorbance values than those of F48E8- and Herts-inoculated cells. These findings demonstrated that splenocytes infected with genotype VIId NDVs (JS5/05 and JS3/05) were richer in free nucleosomal DNA than those infected with F48E8 and Herts/33, indicating that JS3/05 and JS5/05 induced stronger apoptosis in splenocytes when compared to F48E8 and Herts/33.\n Cytokine gene expression profile Interferons (IFNs) are important members of host innate arm of immunity to prevent virus infection. However, overproduction of IFNs is also related to cytokine storm that contributes to viral immunopathogenesis. We used qRT-PCR to characterize expression profiles of IFN genes, including IFN-α, IFN-β and IFN-γ, to provide insights into the role of innate immune response in pathogenesis of NDV. The results showed that JS3/05 and JS5/05 slightly upregulated expression level of IFN-α at 6 and 12 h pi and these two viruses increased expression values of IFN-α at 24 h pi (4-fold for JS5/05 and 2-fold for JS3/05) (Figure 3A). However, in F48E8- or Herts/33-infected cells, the transcription levels of IFN-α did not appear to change at any of the time points (Figure 3A). Transcription levels of IFN-β did not show notable changes at 6 h pi in cells infected with four tested NDVs. At 12 h pi, only JS3/05-inoculated cells showed a 2.3-fold increase of IFN-β expression. At 24 h pi, a 2.8-fold increase of IFN-β expression was detected in splenocytes infected with JS5/05 and 2.2-fold increase for JS3/05. In contrast, IFN-β remained unchanged during detection period in F48E8- and Herts/33-inoculated cells (Figure 3B). IFN-γ RNA amounts were increased by two genotype VIId NDV strains (3.3-fold for JS5/05 and 2.5-fold for JS3/05) at 6 h pi. IFN-γ expression levels in JS5/05-inocualted cells decreased at a stepwise pattern at 12 and 24 h pi. JS3/05 increased expression level of IFN-γ gene up to 12-fold at 12 h pi and high value (5-fold increase) was also observed at 24 h pi. However, no marked change in IFN-γ expression was found for F48E8 and Herts/33 (Figure 3C). These results suggest that JS5/05 and JS3/05 triggered a more potent innate immune response compared to F48E8 and Herts/33.\n Determination of mRNA expression of IFN-α, IFN-β and IFN-γ genes in the splenocytes. Profiles of IFN-α, IFN-β and IFN-γ gene expression were shown in panel A, B and C respectively. The standard curve method was used to analyze the fold change of relative gene expression levels between mock-infected and infected cells. Relative expression levels were normalized to the internal β-actin. The data are the mean fold change ± standard deviation (SD).\nInterferons (IFNs) are important members of host innate arm of immunity to prevent virus infection. However, overproduction of IFNs is also related to cytokine storm that contributes to viral immunopathogenesis. We used qRT-PCR to characterize expression profiles of IFN genes, including IFN-α, IFN-β and IFN-γ, to provide insights into the role of innate immune response in pathogenesis of NDV. The results showed that JS3/05 and JS5/05 slightly upregulated expression level of IFN-α at 6 and 12 h pi and these two viruses increased expression values of IFN-α at 24 h pi (4-fold for JS5/05 and 2-fold for JS3/05) (Figure 3A). However, in F48E8- or Herts/33-infected cells, the transcription levels of IFN-α did not appear to change at any of the time points (Figure 3A). Transcription levels of IFN-β did not show notable changes at 6 h pi in cells infected with four tested NDVs. At 12 h pi, only JS3/05-inoculated cells showed a 2.3-fold increase of IFN-β expression. At 24 h pi, a 2.8-fold increase of IFN-β expression was detected in splenocytes infected with JS5/05 and 2.2-fold increase for JS3/05. In contrast, IFN-β remained unchanged during detection period in F48E8- and Herts/33-inoculated cells (Figure 3B). IFN-γ RNA amounts were increased by two genotype VIId NDV strains (3.3-fold for JS5/05 and 2.5-fold for JS3/05) at 6 h pi. IFN-γ expression levels in JS5/05-inocualted cells decreased at a stepwise pattern at 12 and 24 h pi. JS3/05 increased expression level of IFN-γ gene up to 12-fold at 12 h pi and high value (5-fold increase) was also observed at 24 h pi. However, no marked change in IFN-γ expression was found for F48E8 and Herts/33 (Figure 3C). These results suggest that JS5/05 and JS3/05 triggered a more potent innate immune response compared to F48E8 and Herts/33.\n Determination of mRNA expression of IFN-α, IFN-β and IFN-γ genes in the splenocytes. Profiles of IFN-α, IFN-β and IFN-γ gene expression were shown in panel A, B and C respectively. The standard curve method was used to analyze the fold change of relative gene expression levels between mock-infected and infected cells. Relative expression levels were normalized to the internal β-actin. The data are the mean fold change ± standard deviation (SD).\n Annexin-V and PI double staining Virus-induced cytopathic effect (CPE) is related to virus replication efficiency in host cells and virus pathogenicity. Apoptosis is a critical mechanism of NDV-induced CPE. We then used Annexin-V and PI double staining that can differentiate early apoptotic cells and necrotic cells to evaluate morphological changes caused by NDV isolates of different genotypes. At 24 h pi, splenocyets infected with JS3/05 were characterized with the presence of large amount of cellular DNA released from lysed necrotic cells. Many apoptotic and necrotic cells coexisted in splenocytes infected with JS5/05, and these necrotic cells did not completely lose membrane integrity (Figure 4). This finding is consistent with the high level of free nucleosomal DNA detected using ELISA in JS5/05-inoculated cells at 24 h pi (Figure 2). In contrast, there were fewer apoptotic and necrotic cells in splenocytes infected with F48E8 and Herts/33 (Figure 4). These results showed that in addition to apoptosis, genotype VIId NDV isolates also induced marked cellular necrosis compared to F48E8 and Herts/33, which may have effect on virus replication and viral pathogenicity.\n Annexin-V and PI doubling staining of virus-inoculated splenocytes. (A) JS3/05. (B) JS5/05. (C) F48E8. (D) Herts/33. (E) Control. Green: early apoptotic cells with PS exposure upon the outer leaflet of the cell membrane (Annexin-V +); Green and red: late necrotic cells with PS exposure and the ruptured membrane (Annexin-V/PI +); Red: released cellular DNA from leaky necrotic cells (PI +). Magnification, × 400.\nVirus-induced cytopathic effect (CPE) is related to virus replication efficiency in host cells and virus pathogenicity. Apoptosis is a critical mechanism of NDV-induced CPE. We then used Annexin-V and PI double staining that can differentiate early apoptotic cells and necrotic cells to evaluate morphological changes caused by NDV isolates of different genotypes. At 24 h pi, splenocyets infected with JS3/05 were characterized with the presence of large amount of cellular DNA released from lysed necrotic cells. Many apoptotic and necrotic cells coexisted in splenocytes infected with JS5/05, and these necrotic cells did not completely lose membrane integrity (Figure 4). This finding is consistent with the high level of free nucleosomal DNA detected using ELISA in JS5/05-inoculated cells at 24 h pi (Figure 2). In contrast, there were fewer apoptotic and necrotic cells in splenocytes infected with F48E8 and Herts/33 (Figure 4). These results showed that in addition to apoptosis, genotype VIId NDV isolates also induced marked cellular necrosis compared to F48E8 and Herts/33, which may have effect on virus replication and viral pathogenicity.\n Annexin-V and PI doubling staining of virus-inoculated splenocytes. (A) JS3/05. (B) JS5/05. (C) F48E8. (D) Herts/33. (E) Control. Green: early apoptotic cells with PS exposure upon the outer leaflet of the cell membrane (Annexin-V +); Green and red: late necrotic cells with PS exposure and the ruptured membrane (Annexin-V/PI +); Red: released cellular DNA from leaky necrotic cells (PI +). Magnification, × 400.", "To evaluate difference in replication of NDV strains from different genotypes in chicken splenocytes, we determined virus amounts in culture supernatants and transcriptional levels of viral matrix (M) gene. Titration test showed that culture supernatants of JS5/05-inoculated splenocytes had the largest amount of virus at 6 h post-inoculation (pi) than those of cells inoculated with other tested viruses (Figure 1A). In addition, JS5/05 maintained this high replication efficiency during detection period. At 12 and 24 h pi, F48E8 also showed high replication efficiency in splenocytes, which is consistent with its high virus titer in chicken embryo fibroblasts (CEF) (Table 1). Moreover, JS3/05 replicated with relative low efficiency when compared to JS5/05 and F48E8. Splenocytes inoculated with Herts/33 released the lowest amount of virus into culture supernatants among these four NDV strains. Data of quantitative real-time polymerase chain reaction (qRT-PCR) agreed with the results of titration assay (Figure 1B). M gene transcription levels of JS5/05 strain were significantly higher than those of F48E8 and Herts/33 strain at any of the time points. However, JS3/05 showed relative low M gene expression levels than JS5/05 and F48E8, which may be attributed to the early cell death induced by JS3/05 infection (Figure 2). These results suggest that high replication efficiency of genotype VIId NDV in splenocytes was isolate-specific and NDV replication may be partially associated with virus-induced cell death.\n Characterization of virus replication in splenocytes. (A) Virus titration of culture supernatants from virus-infected splenocytes using plaque formation test in CEF. (B) Analysis of viral M gene transcription profiles using qRT-PCR. The transcription levels of viral M gene were normalized to those of β-actin gene in the corresponding sample. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups.\nBackground information of NDV strains used in this study\n Detection of free nucleosomal DNA in the cytoplasm of infected splenocytes. Cytoplasmic fractions of inoculated cells were used for detection of fragmented DNA by ELISA. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups.", "We next quantitatively determined cytoplasmic histone-associated-DNA-fragments using enzyme linked immunosorbent assay (ELISA) to evaluate virus-induced apoptosis. We only focused on the difference in apoptosis between genotype VIId NDV strains and viruses of other genotypes. As shown in Figure 2, at 6 h pi, the absorbance value of splenocytes inoculated with JS3/05 was significantly higher than that of cells inoculated with F48E8 and Herts/33. At 12 h pi, the absorbance values of splenocytes infected with all viruses were comparable. At 24 h pi, JS5/05-inocualted cells produced significantly higher absorbance values than those of F48E8- and Herts-inoculated cells. These findings demonstrated that splenocytes infected with genotype VIId NDVs (JS5/05 and JS3/05) were richer in free nucleosomal DNA than those infected with F48E8 and Herts/33, indicating that JS3/05 and JS5/05 induced stronger apoptosis in splenocytes when compared to F48E8 and Herts/33.", "Interferons (IFNs) are important members of host innate arm of immunity to prevent virus infection. However, overproduction of IFNs is also related to cytokine storm that contributes to viral immunopathogenesis. We used qRT-PCR to characterize expression profiles of IFN genes, including IFN-α, IFN-β and IFN-γ, to provide insights into the role of innate immune response in pathogenesis of NDV. The results showed that JS3/05 and JS5/05 slightly upregulated expression level of IFN-α at 6 and 12 h pi and these two viruses increased expression values of IFN-α at 24 h pi (4-fold for JS5/05 and 2-fold for JS3/05) (Figure 3A). However, in F48E8- or Herts/33-infected cells, the transcription levels of IFN-α did not appear to change at any of the time points (Figure 3A). Transcription levels of IFN-β did not show notable changes at 6 h pi in cells infected with four tested NDVs. At 12 h pi, only JS3/05-inoculated cells showed a 2.3-fold increase of IFN-β expression. At 24 h pi, a 2.8-fold increase of IFN-β expression was detected in splenocytes infected with JS5/05 and 2.2-fold increase for JS3/05. In contrast, IFN-β remained unchanged during detection period in F48E8- and Herts/33-inoculated cells (Figure 3B). IFN-γ RNA amounts were increased by two genotype VIId NDV strains (3.3-fold for JS5/05 and 2.5-fold for JS3/05) at 6 h pi. IFN-γ expression levels in JS5/05-inocualted cells decreased at a stepwise pattern at 12 and 24 h pi. JS3/05 increased expression level of IFN-γ gene up to 12-fold at 12 h pi and high value (5-fold increase) was also observed at 24 h pi. However, no marked change in IFN-γ expression was found for F48E8 and Herts/33 (Figure 3C). These results suggest that JS5/05 and JS3/05 triggered a more potent innate immune response compared to F48E8 and Herts/33.\n Determination of mRNA expression of IFN-α, IFN-β and IFN-γ genes in the splenocytes. Profiles of IFN-α, IFN-β and IFN-γ gene expression were shown in panel A, B and C respectively. The standard curve method was used to analyze the fold change of relative gene expression levels between mock-infected and infected cells. Relative expression levels were normalized to the internal β-actin. The data are the mean fold change ± standard deviation (SD).", "Virus-induced cytopathic effect (CPE) is related to virus replication efficiency in host cells and virus pathogenicity. Apoptosis is a critical mechanism of NDV-induced CPE. We then used Annexin-V and PI double staining that can differentiate early apoptotic cells and necrotic cells to evaluate morphological changes caused by NDV isolates of different genotypes. At 24 h pi, splenocyets infected with JS3/05 were characterized with the presence of large amount of cellular DNA released from lysed necrotic cells. Many apoptotic and necrotic cells coexisted in splenocytes infected with JS5/05, and these necrotic cells did not completely lose membrane integrity (Figure 4). This finding is consistent with the high level of free nucleosomal DNA detected using ELISA in JS5/05-inoculated cells at 24 h pi (Figure 2). In contrast, there were fewer apoptotic and necrotic cells in splenocytes infected with F48E8 and Herts/33 (Figure 4). These results showed that in addition to apoptosis, genotype VIId NDV isolates also induced marked cellular necrosis compared to F48E8 and Herts/33, which may have effect on virus replication and viral pathogenicity.\n Annexin-V and PI doubling staining of virus-inoculated splenocytes. (A) JS3/05. (B) JS5/05. (C) F48E8. (D) Herts/33. (E) Control. Green: early apoptotic cells with PS exposure upon the outer leaflet of the cell membrane (Annexin-V +); Green and red: late necrotic cells with PS exposure and the ruptured membrane (Annexin-V/PI +); Red: released cellular DNA from leaky necrotic cells (PI +). Magnification, × 400.", "The biological basis of severe tissue damage in the lymphoid system induced by genotype VIId NDV strains is unknown. We hypothesized that dysregulation of host response may play an important role. In this study, our findings demonstrated that two isolates (JS5/05 and JS3/05) of genotype VIId NDV elicited robust innate immune response that was evidenced by upregualtion of IFNs expression compared to genotype IX NDV F48E8 and genotype IV NDV Herts/33. In addition, JS5/05 and JS3/05 also induced enhanced apoptosis and necrosis compared to F48E8 and Herts/33. Virus replication was observed with partial association with virus-induced cell death. Therefore, our in vitro results indicate that dysregulation of host response may contribute to the severe spleen pathology caused by genotype VIId NDV infection.\nHost cells mount the cytokine response to prevent infection upon virus invasion. However, overproduction of cytokines may form a cytokine storm to amplify detrimental effect of inflammation on the host [16]. In this study, quantitative analysis of transcription levels of IFN genes showed that JS5/05 and JS3/05 increased expression levels of IFN-α, IFN-β and IFN-γ compared to F48E8 and Herts/33, indicating that genotype VIId NDV strains induce a more potent IFN response (Figure 3). Therefore, strong activation of IFN response may intensify inflammation that causes damages in tissue structures. It is notable that hyperinduction of IFN-γ, a key pro-inflammatory cytokine, may increase synthesis of nitric oxide that has toxic effect on host. IFNs are a family of cytokines that play a central role in innate immunity to viruses. The correlation of JS5/05-induced high levels of IFNs and high virus load may result from the faster virus replication to overcome anti-viral effect of IFNs. Additionally, NDV V protein serves as an antagonist of alpha IFN and contributes to viral virulence [17]. Our data showed that at least at mRNA level, a block of IFN function did not occur during infection with JS5/05 and JS3/05. Perhaps these two isolates can activate many genes that involved in IFN pathway to overwhelm the suppression effect of V protein.\nIn addition to the role in inflammation and anti-virus activity, IFNs also act as key mediators of apoptosis [18]. Many factors involved in IFN signaling pathway, such as IFN regulatory factors (IRFs), protein kinase R (PKR) and 2',5-oligoadenylate/RNaseL system, contribute to apoptosis through different mechanisms. IFNs can also induce the activation of TNF-related apoptosis-inducing ligand (TRAIL) that initiates the death receptor-mediated cell death [18].\nHere we showed that JS5/05 and JS3/05 induced stronger apoptosis than F48E8 and Herts/33, reflected by the significantly larger amount of free nucleosomal DNA in JS5/05- and JS3/05-inucolated cells (Figure 2). In addition, splenocytes inoculated with JS3/05 and JS5/05 also underwent marked necrosis (Figure 4). One possible consequence is that stronger cell death in splenocytes infected with JS5/05 and JS3/05 may accelerate disease severity. It has been shown that apoptosis in lymphoid tissues in NDV-infected birds was followed by extensive lymphocellular necrosis [13,14]. Harrison et al. have demonstrated that the apoptotic rate is proportional to the disease severity produced by NDV strains of varying virulence [15]. Accumulating evidence has shown that the pathogenicity of avian influenza virus H5N1 is closely associated with virus-induced apoptosis [19-21]. Of particular interest, as an alternate form of programmed cell death, necrosis may have different effects on disease severity from that of apoptosis. Necrotic cells will release the cytoplasmic contents into the extracellular fluid to stimulate inflammatory response [22].\nBased on our findings, we could speculate that cytokine response and cell death may act in concert to exacerbate the disease severity caused by genotype VIId NDV. Our results also indicate that viral dysregulation of host response by genotype VIId NDV strains may be a genotype-specific phenotype.\nIt is commonly assumed that efficiency of virus replication is an important determinant for the severity of disease. NDV can propagate in chicken lymphocytes and cause lymphocyte depletion, which lead to severe consequences for bird immune system [13,14,23,24]. Replication efficiency of JS5/05 in splenocytes was significantly higher than that of F48E8 and Herts/33, whereas replication efficiency of JS3/05 was partially inhibited by the early strong apoptosis (Figure 1). Thus, high replication capacity of genotype VIId NDV in splenocytes may be virus-dependent. Our results also suggest that in vitro replication of NDV may be determined by various factors, including cell type, viral genes and virus-induced CPE. Moreover, there may be an active interplay between virus replication and virus-induced cell death. At the early stage of infection, JS5/05 induced low-level apoptosis that allowed high virus replication, whereas excessive apoptosis induced by JS3/05 inhibited virus replication. Reversely, at the late phase of infection, JS5/05-induced cell death may promote virus replication, which may result from the failure of dead lymphocytes to clear virus and active virus release from leaky necrotic cells.\nOur data are consistent with some previous findings. Rue et al. have demonstrated that virulent NDV elicits a robust host response in the spleen represented by hyperinduction of many cytokines, suggesting a correlation between pathogenicity and host innate immune response [10]. Ecco et al. have shown that the genotype VIId NDV strain ZJ1 is a stronger inducer of cytokine response than other virulent strains and the high-cytokine phenotype is consistent with viral pathogenicity and disease outcome [4].\nAlthough there are many studies performed to elucidate virus pathogenicity and host response to NDV strains of varying virulence, evidence focusing on differences in virus-host interplay of different virulent isolates is limited. Our study presents in vitro evidence that differential viral modulation of host response corresponds with the contrasting histopathology phenotypes. Based on these results, we are performing animal experiments to provide supporting in vivo results to confirm this correlation.", "In summary, genotype VIId NDV isolates (JS5/05 and JS3/05) induced stronger innate immune and cell death responses than genotype IX NDV strain F48E8 and genotype IV NDV strain Herts/33 in chicken splenocytes. This in vitro evidence indicates that dysregulation of host response may contribute to severe tissue damage in the lymphoid system caused by genotype VIId NDV. This study also highlights that besides standard pathogenicity indices, evaluation of viral-host interaction is required for full characterization of NDV isolates.", " Ethics statement Experimental research on animals was approved by the Jiangsu Administrative Committee for Laboratory Animals (Permission number: SYXK-SU-2007-0005), and complied with the guidelines of Jiangsu laboratory animal welfare and ethical of Jiangsu Administrative Committee of Laboratory Animals.\nExperimental research on animals was approved by the Jiangsu Administrative Committee for Laboratory Animals (Permission number: SYXK-SU-2007-0005), and complied with the guidelines of Jiangsu laboratory animal welfare and ethical of Jiangsu Administrative Committee of Laboratory Animals.\n Viruses and cells Details for viruses used in this study were listed in Table 1. Viruses were plaque-purified three times in CEF. These viruses were propagated in the allantoic cavities of 9-day-old specific-pathogen-free (SPF) embryonated chicken eggs. Virus titers were determined as 50% tissue culture infective dose (TCID50) in CEF.\nChicken splenocytes were isolated as previously reported [10]. Briefly, single-cell suspensions were prepared by cutting the spleens into small pieces, gently dissociating the spleen pieces on a sterile copper wire mesh, and then purified by gradient centrifugation (500 × g, 30 min) using Histopaque 1077 (Sigma, St. Louis, USA). After washing with phosphate-buffered saline (PBS) for three times, splenocytes were resuspended in RPMI 1640 medium (Invitrogen, CA, USA).\nDetails for viruses used in this study were listed in Table 1. Viruses were plaque-purified three times in CEF. These viruses were propagated in the allantoic cavities of 9-day-old specific-pathogen-free (SPF) embryonated chicken eggs. Virus titers were determined as 50% tissue culture infective dose (TCID50) in CEF.\nChicken splenocytes were isolated as previously reported [10]. Briefly, single-cell suspensions were prepared by cutting the spleens into small pieces, gently dissociating the spleen pieces on a sterile copper wire mesh, and then purified by gradient centrifugation (500 × g, 30 min) using Histopaque 1077 (Sigma, St. Louis, USA). After washing with phosphate-buffered saline (PBS) for three times, splenocytes were resuspended in RPMI 1640 medium (Invitrogen, CA, USA).\n In vitro infection Viable cells were counted using trypan blue exclusion prior to infection. Total amount of splenocytes needed were inoculated with NDV strains at a multiplicity of infection (MOI) of 1. Infected cells were seeded at 1 × 106 cells/well in 24-well-plates. Samples were collected at 6, 12 and 24 h pi.\nViable cells were counted using trypan blue exclusion prior to infection. Total amount of splenocytes needed were inoculated with NDV strains at a multiplicity of infection (MOI) of 1. Infected cells were seeded at 1 × 106 cells/well in 24-well-plates. Samples were collected at 6, 12 and 24 h pi.\n Virus replication assays Viral replication was analyzed through two different ways. Virus contents in culture supernatants were quantified using standard plaque assay in CEF. In addition, transcription levels of viral M gene were determined using qRT-PCR. Primers for M genes (Table 2) were designed based on the conserved sequences that were identified using the Megalign program (DNASTAR, Madison, WI, USA).\nPrimers for real-time PCR\na: primers for viral M gene were designed based on the results of sequence comparison as described in the Methods.\nViral replication was analyzed through two different ways. Virus contents in culture supernatants were quantified using standard plaque assay in CEF. In addition, transcription levels of viral M gene were determined using qRT-PCR. Primers for M genes (Table 2) were designed based on the conserved sequences that were identified using the Megalign program (DNASTAR, Madison, WI, USA).\nPrimers for real-time PCR\na: primers for viral M gene were designed based on the results of sequence comparison as described in the Methods.\n Cytokine gene expression To determine host innate immune response to virus infection, the mRNA expression levels of IFN-α, IFN-β and IFN-γ were analyzed using a two-step qRT-PCR. Primers for these cytokine genes were listed in Table 2. Total RNA was isolated from splenocytes using the TRIzol reagent (Invitrogen, CA, USA). 100 nanogram (ng) of total RNA per sample was treated with 1 U DNase I (Fermentas, Maryland, USA) and used for reverse transcription reaction using 40 U M-MuLV reverse transcriptase (Fermentas, Maryland, USA) and 20 μM random primers in the presence of RNase inhibitor (Takara, Shiga, Japan) at 42°C for 90 min. cDNA and 200 nM (final concentration) each primer were mixed with 10 μl of 2 × SYBR Green PCR Master Mix (Takara). Reactions were performed in triplicate using the ABI Prism 7300 system with the following cycle profile: 1 cycle at 50°C for 2 min and 1 cycle at 95°C for 5 s followed by 40 cycles at 95°C for 5 s and 60°C for 31 s. 1 cycle for dissociation curve for all reactions was added. Relative expression levels were normalized using an internal β-actin control. The standard curve method was used to analyze the fold change of relative gene expression levels.\nTo determine host innate immune response to virus infection, the mRNA expression levels of IFN-α, IFN-β and IFN-γ were analyzed using a two-step qRT-PCR. Primers for these cytokine genes were listed in Table 2. Total RNA was isolated from splenocytes using the TRIzol reagent (Invitrogen, CA, USA). 100 nanogram (ng) of total RNA per sample was treated with 1 U DNase I (Fermentas, Maryland, USA) and used for reverse transcription reaction using 40 U M-MuLV reverse transcriptase (Fermentas, Maryland, USA) and 20 μM random primers in the presence of RNase inhibitor (Takara, Shiga, Japan) at 42°C for 90 min. cDNA and 200 nM (final concentration) each primer were mixed with 10 μl of 2 × SYBR Green PCR Master Mix (Takara). Reactions were performed in triplicate using the ABI Prism 7300 system with the following cycle profile: 1 cycle at 50°C for 2 min and 1 cycle at 95°C for 5 s followed by 40 cycles at 95°C for 5 s and 60°C for 31 s. 1 cycle for dissociation curve for all reactions was added. Relative expression levels were normalized using an internal β-actin control. The standard curve method was used to analyze the fold change of relative gene expression levels.\n Apoptosis assay To measure virus-induced apoptosis, free nucleosomal DNA in cytoplasm was detected using the Cell Death Detection ELISA kit (Roche, Mannheim, Germany) according to the manual. Infected cells were pelleted by centrifugation and lysed with the lysis buffer from the kit. 20 μl of the cytoplasmic fraction of cell lysates was used to examine the release of free nucleosomal DNA.\nTo measure virus-induced apoptosis, free nucleosomal DNA in cytoplasm was detected using the Cell Death Detection ELISA kit (Roche, Mannheim, Germany) according to the manual. Infected cells were pelleted by centrifugation and lysed with the lysis buffer from the kit. 20 μl of the cytoplasmic fraction of cell lysates was used to examine the release of free nucleosomal DNA.\n Annexin-V and PI double staining NDV-induced CPE is associated with apoptosis. To evaluate morphological changes in infected cells, we used Annexin-V and PI that can differentiate changes in cellular structure in the process of programmed cell death. In the early stage of apoptosis, phosphatidylserine (PS) exposes upon the outer leaflet of the cell membrane, which can be detected by Annexin-V with high affinity. In the late stage of apoptosis, leaky necrotic cells release DNA that can be stained by PI. Annexin-V-FLUOS staining kit (Roche, Mannheim, Germany) was used to label splenocytes collected at 24 h pi as recommended by the producer.\nNDV-induced CPE is associated with apoptosis. To evaluate morphological changes in infected cells, we used Annexin-V and PI that can differentiate changes in cellular structure in the process of programmed cell death. In the early stage of apoptosis, phosphatidylserine (PS) exposes upon the outer leaflet of the cell membrane, which can be detected by Annexin-V with high affinity. In the late stage of apoptosis, leaky necrotic cells release DNA that can be stained by PI. Annexin-V-FLUOS staining kit (Roche, Mannheim, Germany) was used to label splenocytes collected at 24 h pi as recommended by the producer.\n Statistical analysis Statistical significance of differences between experimental groups was determined using the Independent-Samples T test. Values of P < 0.05 were considered significant.\nStatistical significance of differences between experimental groups was determined using the Independent-Samples T test. Values of P < 0.05 were considered significant.", "Experimental research on animals was approved by the Jiangsu Administrative Committee for Laboratory Animals (Permission number: SYXK-SU-2007-0005), and complied with the guidelines of Jiangsu laboratory animal welfare and ethical of Jiangsu Administrative Committee of Laboratory Animals.", "Details for viruses used in this study were listed in Table 1. Viruses were plaque-purified three times in CEF. These viruses were propagated in the allantoic cavities of 9-day-old specific-pathogen-free (SPF) embryonated chicken eggs. Virus titers were determined as 50% tissue culture infective dose (TCID50) in CEF.\nChicken splenocytes were isolated as previously reported [10]. Briefly, single-cell suspensions were prepared by cutting the spleens into small pieces, gently dissociating the spleen pieces on a sterile copper wire mesh, and then purified by gradient centrifugation (500 × g, 30 min) using Histopaque 1077 (Sigma, St. Louis, USA). After washing with phosphate-buffered saline (PBS) for three times, splenocytes were resuspended in RPMI 1640 medium (Invitrogen, CA, USA).", "Viable cells were counted using trypan blue exclusion prior to infection. Total amount of splenocytes needed were inoculated with NDV strains at a multiplicity of infection (MOI) of 1. Infected cells were seeded at 1 × 106 cells/well in 24-well-plates. Samples were collected at 6, 12 and 24 h pi.", "Viral replication was analyzed through two different ways. Virus contents in culture supernatants were quantified using standard plaque assay in CEF. In addition, transcription levels of viral M gene were determined using qRT-PCR. Primers for M genes (Table 2) were designed based on the conserved sequences that were identified using the Megalign program (DNASTAR, Madison, WI, USA).\nPrimers for real-time PCR\na: primers for viral M gene were designed based on the results of sequence comparison as described in the Methods.", "To determine host innate immune response to virus infection, the mRNA expression levels of IFN-α, IFN-β and IFN-γ were analyzed using a two-step qRT-PCR. Primers for these cytokine genes were listed in Table 2. Total RNA was isolated from splenocytes using the TRIzol reagent (Invitrogen, CA, USA). 100 nanogram (ng) of total RNA per sample was treated with 1 U DNase I (Fermentas, Maryland, USA) and used for reverse transcription reaction using 40 U M-MuLV reverse transcriptase (Fermentas, Maryland, USA) and 20 μM random primers in the presence of RNase inhibitor (Takara, Shiga, Japan) at 42°C for 90 min. cDNA and 200 nM (final concentration) each primer were mixed with 10 μl of 2 × SYBR Green PCR Master Mix (Takara). Reactions were performed in triplicate using the ABI Prism 7300 system with the following cycle profile: 1 cycle at 50°C for 2 min and 1 cycle at 95°C for 5 s followed by 40 cycles at 95°C for 5 s and 60°C for 31 s. 1 cycle for dissociation curve for all reactions was added. Relative expression levels were normalized using an internal β-actin control. The standard curve method was used to analyze the fold change of relative gene expression levels.", "To measure virus-induced apoptosis, free nucleosomal DNA in cytoplasm was detected using the Cell Death Detection ELISA kit (Roche, Mannheim, Germany) according to the manual. Infected cells were pelleted by centrifugation and lysed with the lysis buffer from the kit. 20 μl of the cytoplasmic fraction of cell lysates was used to examine the release of free nucleosomal DNA.", "NDV-induced CPE is associated with apoptosis. To evaluate morphological changes in infected cells, we used Annexin-V and PI that can differentiate changes in cellular structure in the process of programmed cell death. In the early stage of apoptosis, phosphatidylserine (PS) exposes upon the outer leaflet of the cell membrane, which can be detected by Annexin-V with high affinity. In the late stage of apoptosis, leaky necrotic cells release DNA that can be stained by PI. Annexin-V-FLUOS staining kit (Roche, Mannheim, Germany) was used to label splenocytes collected at 24 h pi as recommended by the producer.", "Statistical significance of differences between experimental groups was determined using the Independent-Samples T test. Values of P < 0.05 were considered significant.", "CEF: Chicken embryo fibroblasts; CPE: Cytopathic effect; ELISA: Enzyme linked immunosorbent assay; IFN: Interferon; IRFs: IFN regulatory factors; M: Matrix; MOI: Multiplicity of infection; NDV: Newcastle disease virus; Ng: Nanogram; PBS: Phosphate-buffered saline; Pi: Post-inoculation; PI: Proidium iodid; PKR: Protein kinase R; PS: Phosphatidylserine; qRT-PCR: Quantitative real-time polymerase chain reaction; SPF: Specific-pathogen-free; TCID50: 50% tissue culture infective dose; TRAIL: TNF-related apoptosis-inducing ligand.", "The authors declare that they have no competing interests.", "ZH and XL conceived and designed the experiments. ZH, JH and JZ performed the experiments. SH, XWL and XW contributed to the design of the study and revision of the draft. All the authors have read and approved the final manuscript.", "1Animal Infectious Disease Laboratory, 2Ministry of Education Key Lab for Avian Preventive Medicine, School of Veterinary Medicine, Yangzhou University, 12 East Wenhui Road, Yangzhou, Jiangsu Province, 225009, China." ]
[ null, "results", null, null, null, null, "discussion", "conclusions", "methods", null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Innate immune response", "Cell death", "Splenic necrosis", "Genotype VIId Newcastle disease virus" ]
Background: Genotype VIId Newcastle disease virus (NDV) is dominant in Asia [1-3]. Many pathological studies have revealed that genotype VIId NDV isolates induce the most severe necrosis in lymphoid tissues, especially in the spleen, when compared with virulent isolates of other genotypes [4-6]. However, the basis for the unusual pathological manifestation remains unclear. Although many viral determinants for pathogenicity of NDV have been identified [7-9], few mechanistic data regarding host response to NDV infection are available. Some recent studies have demonstrated that viral modulation of host innate immune response is associated with viral pathogenesis and pathological outcomes [4,10]. Similarly, numerous studies in animal and cell models have shown that robust host immune response contributes to the pathogenesis of highly pathogenic avian H5N1 influenza virus [11,12]. In addition, apoptosis is associated with the pathogenesis of NDV. Chickens experimentally infected with virulent NDV isolates exhibited prominent apoptosis in lymphoid tissues [13-15]. Moreover, Harrison et al. have shown that the degree of apoptosis in lymphoid tissues is correlated with the severity of disease caused by NDV strains of varying virulence [15]. Based on these findings, we hypothesize that host innate immune response and apoptosis are associated with the severe destruction of lymphoid tissues following genotype VIId NDV infection. Considering that results in primary cultured cells can be closely correlated with pathogenesis in vivo, we used chicken splenocytes as an in vitro model to compare apoptosis and cytokine response following infection with two genotype VIId NDV strains JS5/05 and JS3/05, a genotype IX NDV strain F48E8 and a genotype IV NDV strain Herts/33. Results: Virus replication in splenocytes To evaluate difference in replication of NDV strains from different genotypes in chicken splenocytes, we determined virus amounts in culture supernatants and transcriptional levels of viral matrix (M) gene. Titration test showed that culture supernatants of JS5/05-inoculated splenocytes had the largest amount of virus at 6 h post-inoculation (pi) than those of cells inoculated with other tested viruses (Figure 1A). In addition, JS5/05 maintained this high replication efficiency during detection period. At 12 and 24 h pi, F48E8 also showed high replication efficiency in splenocytes, which is consistent with its high virus titer in chicken embryo fibroblasts (CEF) (Table 1). Moreover, JS3/05 replicated with relative low efficiency when compared to JS5/05 and F48E8. Splenocytes inoculated with Herts/33 released the lowest amount of virus into culture supernatants among these four NDV strains. Data of quantitative real-time polymerase chain reaction (qRT-PCR) agreed with the results of titration assay (Figure 1B). M gene transcription levels of JS5/05 strain were significantly higher than those of F48E8 and Herts/33 strain at any of the time points. However, JS3/05 showed relative low M gene expression levels than JS5/05 and F48E8, which may be attributed to the early cell death induced by JS3/05 infection (Figure 2). These results suggest that high replication efficiency of genotype VIId NDV in splenocytes was isolate-specific and NDV replication may be partially associated with virus-induced cell death. Characterization of virus replication in splenocytes. (A) Virus titration of culture supernatants from virus-infected splenocytes using plaque formation test in CEF. (B) Analysis of viral M gene transcription profiles using qRT-PCR. The transcription levels of viral M gene were normalized to those of β-actin gene in the corresponding sample. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups. Background information of NDV strains used in this study Detection of free nucleosomal DNA in the cytoplasm of infected splenocytes. Cytoplasmic fractions of inoculated cells were used for detection of fragmented DNA by ELISA. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups. To evaluate difference in replication of NDV strains from different genotypes in chicken splenocytes, we determined virus amounts in culture supernatants and transcriptional levels of viral matrix (M) gene. Titration test showed that culture supernatants of JS5/05-inoculated splenocytes had the largest amount of virus at 6 h post-inoculation (pi) than those of cells inoculated with other tested viruses (Figure 1A). In addition, JS5/05 maintained this high replication efficiency during detection period. At 12 and 24 h pi, F48E8 also showed high replication efficiency in splenocytes, which is consistent with its high virus titer in chicken embryo fibroblasts (CEF) (Table 1). Moreover, JS3/05 replicated with relative low efficiency when compared to JS5/05 and F48E8. Splenocytes inoculated with Herts/33 released the lowest amount of virus into culture supernatants among these four NDV strains. Data of quantitative real-time polymerase chain reaction (qRT-PCR) agreed with the results of titration assay (Figure 1B). M gene transcription levels of JS5/05 strain were significantly higher than those of F48E8 and Herts/33 strain at any of the time points. However, JS3/05 showed relative low M gene expression levels than JS5/05 and F48E8, which may be attributed to the early cell death induced by JS3/05 infection (Figure 2). These results suggest that high replication efficiency of genotype VIId NDV in splenocytes was isolate-specific and NDV replication may be partially associated with virus-induced cell death. Characterization of virus replication in splenocytes. (A) Virus titration of culture supernatants from virus-infected splenocytes using plaque formation test in CEF. (B) Analysis of viral M gene transcription profiles using qRT-PCR. The transcription levels of viral M gene were normalized to those of β-actin gene in the corresponding sample. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups. Background information of NDV strains used in this study Detection of free nucleosomal DNA in the cytoplasm of infected splenocytes. Cytoplasmic fractions of inoculated cells were used for detection of fragmented DNA by ELISA. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups. Apoptosis assay We next quantitatively determined cytoplasmic histone-associated-DNA-fragments using enzyme linked immunosorbent assay (ELISA) to evaluate virus-induced apoptosis. We only focused on the difference in apoptosis between genotype VIId NDV strains and viruses of other genotypes. As shown in Figure 2, at 6 h pi, the absorbance value of splenocytes inoculated with JS3/05 was significantly higher than that of cells inoculated with F48E8 and Herts/33. At 12 h pi, the absorbance values of splenocytes infected with all viruses were comparable. At 24 h pi, JS5/05-inocualted cells produced significantly higher absorbance values than those of F48E8- and Herts-inoculated cells. These findings demonstrated that splenocytes infected with genotype VIId NDVs (JS5/05 and JS3/05) were richer in free nucleosomal DNA than those infected with F48E8 and Herts/33, indicating that JS3/05 and JS5/05 induced stronger apoptosis in splenocytes when compared to F48E8 and Herts/33. We next quantitatively determined cytoplasmic histone-associated-DNA-fragments using enzyme linked immunosorbent assay (ELISA) to evaluate virus-induced apoptosis. We only focused on the difference in apoptosis between genotype VIId NDV strains and viruses of other genotypes. As shown in Figure 2, at 6 h pi, the absorbance value of splenocytes inoculated with JS3/05 was significantly higher than that of cells inoculated with F48E8 and Herts/33. At 12 h pi, the absorbance values of splenocytes infected with all viruses were comparable. At 24 h pi, JS5/05-inocualted cells produced significantly higher absorbance values than those of F48E8- and Herts-inoculated cells. These findings demonstrated that splenocytes infected with genotype VIId NDVs (JS5/05 and JS3/05) were richer in free nucleosomal DNA than those infected with F48E8 and Herts/33, indicating that JS3/05 and JS5/05 induced stronger apoptosis in splenocytes when compared to F48E8 and Herts/33. Cytokine gene expression profile Interferons (IFNs) are important members of host innate arm of immunity to prevent virus infection. However, overproduction of IFNs is also related to cytokine storm that contributes to viral immunopathogenesis. We used qRT-PCR to characterize expression profiles of IFN genes, including IFN-α, IFN-β and IFN-γ, to provide insights into the role of innate immune response in pathogenesis of NDV. The results showed that JS3/05 and JS5/05 slightly upregulated expression level of IFN-α at 6 and 12 h pi and these two viruses increased expression values of IFN-α at 24 h pi (4-fold for JS5/05 and 2-fold for JS3/05) (Figure 3A). However, in F48E8- or Herts/33-infected cells, the transcription levels of IFN-α did not appear to change at any of the time points (Figure 3A). Transcription levels of IFN-β did not show notable changes at 6 h pi in cells infected with four tested NDVs. At 12 h pi, only JS3/05-inoculated cells showed a 2.3-fold increase of IFN-β expression. At 24 h pi, a 2.8-fold increase of IFN-β expression was detected in splenocytes infected with JS5/05 and 2.2-fold increase for JS3/05. In contrast, IFN-β remained unchanged during detection period in F48E8- and Herts/33-inoculated cells (Figure 3B). IFN-γ RNA amounts were increased by two genotype VIId NDV strains (3.3-fold for JS5/05 and 2.5-fold for JS3/05) at 6 h pi. IFN-γ expression levels in JS5/05-inocualted cells decreased at a stepwise pattern at 12 and 24 h pi. JS3/05 increased expression level of IFN-γ gene up to 12-fold at 12 h pi and high value (5-fold increase) was also observed at 24 h pi. However, no marked change in IFN-γ expression was found for F48E8 and Herts/33 (Figure 3C). These results suggest that JS5/05 and JS3/05 triggered a more potent innate immune response compared to F48E8 and Herts/33. Determination of mRNA expression of IFN-α, IFN-β and IFN-γ genes in the splenocytes. Profiles of IFN-α, IFN-β and IFN-γ gene expression were shown in panel A, B and C respectively. The standard curve method was used to analyze the fold change of relative gene expression levels between mock-infected and infected cells. Relative expression levels were normalized to the internal β-actin. The data are the mean fold change ± standard deviation (SD). Interferons (IFNs) are important members of host innate arm of immunity to prevent virus infection. However, overproduction of IFNs is also related to cytokine storm that contributes to viral immunopathogenesis. We used qRT-PCR to characterize expression profiles of IFN genes, including IFN-α, IFN-β and IFN-γ, to provide insights into the role of innate immune response in pathogenesis of NDV. The results showed that JS3/05 and JS5/05 slightly upregulated expression level of IFN-α at 6 and 12 h pi and these two viruses increased expression values of IFN-α at 24 h pi (4-fold for JS5/05 and 2-fold for JS3/05) (Figure 3A). However, in F48E8- or Herts/33-infected cells, the transcription levels of IFN-α did not appear to change at any of the time points (Figure 3A). Transcription levels of IFN-β did not show notable changes at 6 h pi in cells infected with four tested NDVs. At 12 h pi, only JS3/05-inoculated cells showed a 2.3-fold increase of IFN-β expression. At 24 h pi, a 2.8-fold increase of IFN-β expression was detected in splenocytes infected with JS5/05 and 2.2-fold increase for JS3/05. In contrast, IFN-β remained unchanged during detection period in F48E8- and Herts/33-inoculated cells (Figure 3B). IFN-γ RNA amounts were increased by two genotype VIId NDV strains (3.3-fold for JS5/05 and 2.5-fold for JS3/05) at 6 h pi. IFN-γ expression levels in JS5/05-inocualted cells decreased at a stepwise pattern at 12 and 24 h pi. JS3/05 increased expression level of IFN-γ gene up to 12-fold at 12 h pi and high value (5-fold increase) was also observed at 24 h pi. However, no marked change in IFN-γ expression was found for F48E8 and Herts/33 (Figure 3C). These results suggest that JS5/05 and JS3/05 triggered a more potent innate immune response compared to F48E8 and Herts/33. Determination of mRNA expression of IFN-α, IFN-β and IFN-γ genes in the splenocytes. Profiles of IFN-α, IFN-β and IFN-γ gene expression were shown in panel A, B and C respectively. The standard curve method was used to analyze the fold change of relative gene expression levels between mock-infected and infected cells. Relative expression levels were normalized to the internal β-actin. The data are the mean fold change ± standard deviation (SD). Annexin-V and PI double staining Virus-induced cytopathic effect (CPE) is related to virus replication efficiency in host cells and virus pathogenicity. Apoptosis is a critical mechanism of NDV-induced CPE. We then used Annexin-V and PI double staining that can differentiate early apoptotic cells and necrotic cells to evaluate morphological changes caused by NDV isolates of different genotypes. At 24 h pi, splenocyets infected with JS3/05 were characterized with the presence of large amount of cellular DNA released from lysed necrotic cells. Many apoptotic and necrotic cells coexisted in splenocytes infected with JS5/05, and these necrotic cells did not completely lose membrane integrity (Figure 4). This finding is consistent with the high level of free nucleosomal DNA detected using ELISA in JS5/05-inoculated cells at 24 h pi (Figure 2). In contrast, there were fewer apoptotic and necrotic cells in splenocytes infected with F48E8 and Herts/33 (Figure 4). These results showed that in addition to apoptosis, genotype VIId NDV isolates also induced marked cellular necrosis compared to F48E8 and Herts/33, which may have effect on virus replication and viral pathogenicity. Annexin-V and PI doubling staining of virus-inoculated splenocytes. (A) JS3/05. (B) JS5/05. (C) F48E8. (D) Herts/33. (E) Control. Green: early apoptotic cells with PS exposure upon the outer leaflet of the cell membrane (Annexin-V +); Green and red: late necrotic cells with PS exposure and the ruptured membrane (Annexin-V/PI +); Red: released cellular DNA from leaky necrotic cells (PI +). Magnification, × 400. Virus-induced cytopathic effect (CPE) is related to virus replication efficiency in host cells and virus pathogenicity. Apoptosis is a critical mechanism of NDV-induced CPE. We then used Annexin-V and PI double staining that can differentiate early apoptotic cells and necrotic cells to evaluate morphological changes caused by NDV isolates of different genotypes. At 24 h pi, splenocyets infected with JS3/05 were characterized with the presence of large amount of cellular DNA released from lysed necrotic cells. Many apoptotic and necrotic cells coexisted in splenocytes infected with JS5/05, and these necrotic cells did not completely lose membrane integrity (Figure 4). This finding is consistent with the high level of free nucleosomal DNA detected using ELISA in JS5/05-inoculated cells at 24 h pi (Figure 2). In contrast, there were fewer apoptotic and necrotic cells in splenocytes infected with F48E8 and Herts/33 (Figure 4). These results showed that in addition to apoptosis, genotype VIId NDV isolates also induced marked cellular necrosis compared to F48E8 and Herts/33, which may have effect on virus replication and viral pathogenicity. Annexin-V and PI doubling staining of virus-inoculated splenocytes. (A) JS3/05. (B) JS5/05. (C) F48E8. (D) Herts/33. (E) Control. Green: early apoptotic cells with PS exposure upon the outer leaflet of the cell membrane (Annexin-V +); Green and red: late necrotic cells with PS exposure and the ruptured membrane (Annexin-V/PI +); Red: released cellular DNA from leaky necrotic cells (PI +). Magnification, × 400. Virus replication in splenocytes: To evaluate difference in replication of NDV strains from different genotypes in chicken splenocytes, we determined virus amounts in culture supernatants and transcriptional levels of viral matrix (M) gene. Titration test showed that culture supernatants of JS5/05-inoculated splenocytes had the largest amount of virus at 6 h post-inoculation (pi) than those of cells inoculated with other tested viruses (Figure 1A). In addition, JS5/05 maintained this high replication efficiency during detection period. At 12 and 24 h pi, F48E8 also showed high replication efficiency in splenocytes, which is consistent with its high virus titer in chicken embryo fibroblasts (CEF) (Table 1). Moreover, JS3/05 replicated with relative low efficiency when compared to JS5/05 and F48E8. Splenocytes inoculated with Herts/33 released the lowest amount of virus into culture supernatants among these four NDV strains. Data of quantitative real-time polymerase chain reaction (qRT-PCR) agreed with the results of titration assay (Figure 1B). M gene transcription levels of JS5/05 strain were significantly higher than those of F48E8 and Herts/33 strain at any of the time points. However, JS3/05 showed relative low M gene expression levels than JS5/05 and F48E8, which may be attributed to the early cell death induced by JS3/05 infection (Figure 2). These results suggest that high replication efficiency of genotype VIId NDV in splenocytes was isolate-specific and NDV replication may be partially associated with virus-induced cell death. Characterization of virus replication in splenocytes. (A) Virus titration of culture supernatants from virus-infected splenocytes using plaque formation test in CEF. (B) Analysis of viral M gene transcription profiles using qRT-PCR. The transcription levels of viral M gene were normalized to those of β-actin gene in the corresponding sample. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups. Background information of NDV strains used in this study Detection of free nucleosomal DNA in the cytoplasm of infected splenocytes. Cytoplasmic fractions of inoculated cells were used for detection of fragmented DNA by ELISA. Asterisk (*) indicates significant difference at p < 0.05 (n = 3) between experimental groups. Apoptosis assay: We next quantitatively determined cytoplasmic histone-associated-DNA-fragments using enzyme linked immunosorbent assay (ELISA) to evaluate virus-induced apoptosis. We only focused on the difference in apoptosis between genotype VIId NDV strains and viruses of other genotypes. As shown in Figure 2, at 6 h pi, the absorbance value of splenocytes inoculated with JS3/05 was significantly higher than that of cells inoculated with F48E8 and Herts/33. At 12 h pi, the absorbance values of splenocytes infected with all viruses were comparable. At 24 h pi, JS5/05-inocualted cells produced significantly higher absorbance values than those of F48E8- and Herts-inoculated cells. These findings demonstrated that splenocytes infected with genotype VIId NDVs (JS5/05 and JS3/05) were richer in free nucleosomal DNA than those infected with F48E8 and Herts/33, indicating that JS3/05 and JS5/05 induced stronger apoptosis in splenocytes when compared to F48E8 and Herts/33. Cytokine gene expression profile: Interferons (IFNs) are important members of host innate arm of immunity to prevent virus infection. However, overproduction of IFNs is also related to cytokine storm that contributes to viral immunopathogenesis. We used qRT-PCR to characterize expression profiles of IFN genes, including IFN-α, IFN-β and IFN-γ, to provide insights into the role of innate immune response in pathogenesis of NDV. The results showed that JS3/05 and JS5/05 slightly upregulated expression level of IFN-α at 6 and 12 h pi and these two viruses increased expression values of IFN-α at 24 h pi (4-fold for JS5/05 and 2-fold for JS3/05) (Figure 3A). However, in F48E8- or Herts/33-infected cells, the transcription levels of IFN-α did not appear to change at any of the time points (Figure 3A). Transcription levels of IFN-β did not show notable changes at 6 h pi in cells infected with four tested NDVs. At 12 h pi, only JS3/05-inoculated cells showed a 2.3-fold increase of IFN-β expression. At 24 h pi, a 2.8-fold increase of IFN-β expression was detected in splenocytes infected with JS5/05 and 2.2-fold increase for JS3/05. In contrast, IFN-β remained unchanged during detection period in F48E8- and Herts/33-inoculated cells (Figure 3B). IFN-γ RNA amounts were increased by two genotype VIId NDV strains (3.3-fold for JS5/05 and 2.5-fold for JS3/05) at 6 h pi. IFN-γ expression levels in JS5/05-inocualted cells decreased at a stepwise pattern at 12 and 24 h pi. JS3/05 increased expression level of IFN-γ gene up to 12-fold at 12 h pi and high value (5-fold increase) was also observed at 24 h pi. However, no marked change in IFN-γ expression was found for F48E8 and Herts/33 (Figure 3C). These results suggest that JS5/05 and JS3/05 triggered a more potent innate immune response compared to F48E8 and Herts/33. Determination of mRNA expression of IFN-α, IFN-β and IFN-γ genes in the splenocytes. Profiles of IFN-α, IFN-β and IFN-γ gene expression were shown in panel A, B and C respectively. The standard curve method was used to analyze the fold change of relative gene expression levels between mock-infected and infected cells. Relative expression levels were normalized to the internal β-actin. The data are the mean fold change ± standard deviation (SD). Annexin-V and PI double staining: Virus-induced cytopathic effect (CPE) is related to virus replication efficiency in host cells and virus pathogenicity. Apoptosis is a critical mechanism of NDV-induced CPE. We then used Annexin-V and PI double staining that can differentiate early apoptotic cells and necrotic cells to evaluate morphological changes caused by NDV isolates of different genotypes. At 24 h pi, splenocyets infected with JS3/05 were characterized with the presence of large amount of cellular DNA released from lysed necrotic cells. Many apoptotic and necrotic cells coexisted in splenocytes infected with JS5/05, and these necrotic cells did not completely lose membrane integrity (Figure 4). This finding is consistent with the high level of free nucleosomal DNA detected using ELISA in JS5/05-inoculated cells at 24 h pi (Figure 2). In contrast, there were fewer apoptotic and necrotic cells in splenocytes infected with F48E8 and Herts/33 (Figure 4). These results showed that in addition to apoptosis, genotype VIId NDV isolates also induced marked cellular necrosis compared to F48E8 and Herts/33, which may have effect on virus replication and viral pathogenicity. Annexin-V and PI doubling staining of virus-inoculated splenocytes. (A) JS3/05. (B) JS5/05. (C) F48E8. (D) Herts/33. (E) Control. Green: early apoptotic cells with PS exposure upon the outer leaflet of the cell membrane (Annexin-V +); Green and red: late necrotic cells with PS exposure and the ruptured membrane (Annexin-V/PI +); Red: released cellular DNA from leaky necrotic cells (PI +). Magnification, × 400. Discussion: The biological basis of severe tissue damage in the lymphoid system induced by genotype VIId NDV strains is unknown. We hypothesized that dysregulation of host response may play an important role. In this study, our findings demonstrated that two isolates (JS5/05 and JS3/05) of genotype VIId NDV elicited robust innate immune response that was evidenced by upregualtion of IFNs expression compared to genotype IX NDV F48E8 and genotype IV NDV Herts/33. In addition, JS5/05 and JS3/05 also induced enhanced apoptosis and necrosis compared to F48E8 and Herts/33. Virus replication was observed with partial association with virus-induced cell death. Therefore, our in vitro results indicate that dysregulation of host response may contribute to the severe spleen pathology caused by genotype VIId NDV infection. Host cells mount the cytokine response to prevent infection upon virus invasion. However, overproduction of cytokines may form a cytokine storm to amplify detrimental effect of inflammation on the host [16]. In this study, quantitative analysis of transcription levels of IFN genes showed that JS5/05 and JS3/05 increased expression levels of IFN-α, IFN-β and IFN-γ compared to F48E8 and Herts/33, indicating that genotype VIId NDV strains induce a more potent IFN response (Figure 3). Therefore, strong activation of IFN response may intensify inflammation that causes damages in tissue structures. It is notable that hyperinduction of IFN-γ, a key pro-inflammatory cytokine, may increase synthesis of nitric oxide that has toxic effect on host. IFNs are a family of cytokines that play a central role in innate immunity to viruses. The correlation of JS5/05-induced high levels of IFNs and high virus load may result from the faster virus replication to overcome anti-viral effect of IFNs. Additionally, NDV V protein serves as an antagonist of alpha IFN and contributes to viral virulence [17]. Our data showed that at least at mRNA level, a block of IFN function did not occur during infection with JS5/05 and JS3/05. Perhaps these two isolates can activate many genes that involved in IFN pathway to overwhelm the suppression effect of V protein. In addition to the role in inflammation and anti-virus activity, IFNs also act as key mediators of apoptosis [18]. Many factors involved in IFN signaling pathway, such as IFN regulatory factors (IRFs), protein kinase R (PKR) and 2',5-oligoadenylate/RNaseL system, contribute to apoptosis through different mechanisms. IFNs can also induce the activation of TNF-related apoptosis-inducing ligand (TRAIL) that initiates the death receptor-mediated cell death [18]. Here we showed that JS5/05 and JS3/05 induced stronger apoptosis than F48E8 and Herts/33, reflected by the significantly larger amount of free nucleosomal DNA in JS5/05- and JS3/05-inucolated cells (Figure 2). In addition, splenocytes inoculated with JS3/05 and JS5/05 also underwent marked necrosis (Figure 4). One possible consequence is that stronger cell death in splenocytes infected with JS5/05 and JS3/05 may accelerate disease severity. It has been shown that apoptosis in lymphoid tissues in NDV-infected birds was followed by extensive lymphocellular necrosis [13,14]. Harrison et al. have demonstrated that the apoptotic rate is proportional to the disease severity produced by NDV strains of varying virulence [15]. Accumulating evidence has shown that the pathogenicity of avian influenza virus H5N1 is closely associated with virus-induced apoptosis [19-21]. Of particular interest, as an alternate form of programmed cell death, necrosis may have different effects on disease severity from that of apoptosis. Necrotic cells will release the cytoplasmic contents into the extracellular fluid to stimulate inflammatory response [22]. Based on our findings, we could speculate that cytokine response and cell death may act in concert to exacerbate the disease severity caused by genotype VIId NDV. Our results also indicate that viral dysregulation of host response by genotype VIId NDV strains may be a genotype-specific phenotype. It is commonly assumed that efficiency of virus replication is an important determinant for the severity of disease. NDV can propagate in chicken lymphocytes and cause lymphocyte depletion, which lead to severe consequences for bird immune system [13,14,23,24]. Replication efficiency of JS5/05 in splenocytes was significantly higher than that of F48E8 and Herts/33, whereas replication efficiency of JS3/05 was partially inhibited by the early strong apoptosis (Figure 1). Thus, high replication capacity of genotype VIId NDV in splenocytes may be virus-dependent. Our results also suggest that in vitro replication of NDV may be determined by various factors, including cell type, viral genes and virus-induced CPE. Moreover, there may be an active interplay between virus replication and virus-induced cell death. At the early stage of infection, JS5/05 induced low-level apoptosis that allowed high virus replication, whereas excessive apoptosis induced by JS3/05 inhibited virus replication. Reversely, at the late phase of infection, JS5/05-induced cell death may promote virus replication, which may result from the failure of dead lymphocytes to clear virus and active virus release from leaky necrotic cells. Our data are consistent with some previous findings. Rue et al. have demonstrated that virulent NDV elicits a robust host response in the spleen represented by hyperinduction of many cytokines, suggesting a correlation between pathogenicity and host innate immune response [10]. Ecco et al. have shown that the genotype VIId NDV strain ZJ1 is a stronger inducer of cytokine response than other virulent strains and the high-cytokine phenotype is consistent with viral pathogenicity and disease outcome [4]. Although there are many studies performed to elucidate virus pathogenicity and host response to NDV strains of varying virulence, evidence focusing on differences in virus-host interplay of different virulent isolates is limited. Our study presents in vitro evidence that differential viral modulation of host response corresponds with the contrasting histopathology phenotypes. Based on these results, we are performing animal experiments to provide supporting in vivo results to confirm this correlation. Conclusions: In summary, genotype VIId NDV isolates (JS5/05 and JS3/05) induced stronger innate immune and cell death responses than genotype IX NDV strain F48E8 and genotype IV NDV strain Herts/33 in chicken splenocytes. This in vitro evidence indicates that dysregulation of host response may contribute to severe tissue damage in the lymphoid system caused by genotype VIId NDV. This study also highlights that besides standard pathogenicity indices, evaluation of viral-host interaction is required for full characterization of NDV isolates. Methods: Ethics statement Experimental research on animals was approved by the Jiangsu Administrative Committee for Laboratory Animals (Permission number: SYXK-SU-2007-0005), and complied with the guidelines of Jiangsu laboratory animal welfare and ethical of Jiangsu Administrative Committee of Laboratory Animals. Experimental research on animals was approved by the Jiangsu Administrative Committee for Laboratory Animals (Permission number: SYXK-SU-2007-0005), and complied with the guidelines of Jiangsu laboratory animal welfare and ethical of Jiangsu Administrative Committee of Laboratory Animals. Viruses and cells Details for viruses used in this study were listed in Table 1. Viruses were plaque-purified three times in CEF. These viruses were propagated in the allantoic cavities of 9-day-old specific-pathogen-free (SPF) embryonated chicken eggs. Virus titers were determined as 50% tissue culture infective dose (TCID50) in CEF. Chicken splenocytes were isolated as previously reported [10]. Briefly, single-cell suspensions were prepared by cutting the spleens into small pieces, gently dissociating the spleen pieces on a sterile copper wire mesh, and then purified by gradient centrifugation (500 × g, 30 min) using Histopaque 1077 (Sigma, St. Louis, USA). After washing with phosphate-buffered saline (PBS) for three times, splenocytes were resuspended in RPMI 1640 medium (Invitrogen, CA, USA). Details for viruses used in this study were listed in Table 1. Viruses were plaque-purified three times in CEF. These viruses were propagated in the allantoic cavities of 9-day-old specific-pathogen-free (SPF) embryonated chicken eggs. Virus titers were determined as 50% tissue culture infective dose (TCID50) in CEF. Chicken splenocytes were isolated as previously reported [10]. Briefly, single-cell suspensions were prepared by cutting the spleens into small pieces, gently dissociating the spleen pieces on a sterile copper wire mesh, and then purified by gradient centrifugation (500 × g, 30 min) using Histopaque 1077 (Sigma, St. Louis, USA). After washing with phosphate-buffered saline (PBS) for three times, splenocytes were resuspended in RPMI 1640 medium (Invitrogen, CA, USA). In vitro infection Viable cells were counted using trypan blue exclusion prior to infection. Total amount of splenocytes needed were inoculated with NDV strains at a multiplicity of infection (MOI) of 1. Infected cells were seeded at 1 × 106 cells/well in 24-well-plates. Samples were collected at 6, 12 and 24 h pi. Viable cells were counted using trypan blue exclusion prior to infection. Total amount of splenocytes needed were inoculated with NDV strains at a multiplicity of infection (MOI) of 1. Infected cells were seeded at 1 × 106 cells/well in 24-well-plates. Samples were collected at 6, 12 and 24 h pi. Virus replication assays Viral replication was analyzed through two different ways. Virus contents in culture supernatants were quantified using standard plaque assay in CEF. In addition, transcription levels of viral M gene were determined using qRT-PCR. Primers for M genes (Table 2) were designed based on the conserved sequences that were identified using the Megalign program (DNASTAR, Madison, WI, USA). Primers for real-time PCR a: primers for viral M gene were designed based on the results of sequence comparison as described in the Methods. Viral replication was analyzed through two different ways. Virus contents in culture supernatants were quantified using standard plaque assay in CEF. In addition, transcription levels of viral M gene were determined using qRT-PCR. Primers for M genes (Table 2) were designed based on the conserved sequences that were identified using the Megalign program (DNASTAR, Madison, WI, USA). Primers for real-time PCR a: primers for viral M gene were designed based on the results of sequence comparison as described in the Methods. Cytokine gene expression To determine host innate immune response to virus infection, the mRNA expression levels of IFN-α, IFN-β and IFN-γ were analyzed using a two-step qRT-PCR. Primers for these cytokine genes were listed in Table 2. Total RNA was isolated from splenocytes using the TRIzol reagent (Invitrogen, CA, USA). 100 nanogram (ng) of total RNA per sample was treated with 1 U DNase I (Fermentas, Maryland, USA) and used for reverse transcription reaction using 40 U M-MuLV reverse transcriptase (Fermentas, Maryland, USA) and 20 μM random primers in the presence of RNase inhibitor (Takara, Shiga, Japan) at 42°C for 90 min. cDNA and 200 nM (final concentration) each primer were mixed with 10 μl of 2 × SYBR Green PCR Master Mix (Takara). Reactions were performed in triplicate using the ABI Prism 7300 system with the following cycle profile: 1 cycle at 50°C for 2 min and 1 cycle at 95°C for 5 s followed by 40 cycles at 95°C for 5 s and 60°C for 31 s. 1 cycle for dissociation curve for all reactions was added. Relative expression levels were normalized using an internal β-actin control. The standard curve method was used to analyze the fold change of relative gene expression levels. To determine host innate immune response to virus infection, the mRNA expression levels of IFN-α, IFN-β and IFN-γ were analyzed using a two-step qRT-PCR. Primers for these cytokine genes were listed in Table 2. Total RNA was isolated from splenocytes using the TRIzol reagent (Invitrogen, CA, USA). 100 nanogram (ng) of total RNA per sample was treated with 1 U DNase I (Fermentas, Maryland, USA) and used for reverse transcription reaction using 40 U M-MuLV reverse transcriptase (Fermentas, Maryland, USA) and 20 μM random primers in the presence of RNase inhibitor (Takara, Shiga, Japan) at 42°C for 90 min. cDNA and 200 nM (final concentration) each primer were mixed with 10 μl of 2 × SYBR Green PCR Master Mix (Takara). Reactions were performed in triplicate using the ABI Prism 7300 system with the following cycle profile: 1 cycle at 50°C for 2 min and 1 cycle at 95°C for 5 s followed by 40 cycles at 95°C for 5 s and 60°C for 31 s. 1 cycle for dissociation curve for all reactions was added. Relative expression levels were normalized using an internal β-actin control. The standard curve method was used to analyze the fold change of relative gene expression levels. Apoptosis assay To measure virus-induced apoptosis, free nucleosomal DNA in cytoplasm was detected using the Cell Death Detection ELISA kit (Roche, Mannheim, Germany) according to the manual. Infected cells were pelleted by centrifugation and lysed with the lysis buffer from the kit. 20 μl of the cytoplasmic fraction of cell lysates was used to examine the release of free nucleosomal DNA. To measure virus-induced apoptosis, free nucleosomal DNA in cytoplasm was detected using the Cell Death Detection ELISA kit (Roche, Mannheim, Germany) according to the manual. Infected cells were pelleted by centrifugation and lysed with the lysis buffer from the kit. 20 μl of the cytoplasmic fraction of cell lysates was used to examine the release of free nucleosomal DNA. Annexin-V and PI double staining NDV-induced CPE is associated with apoptosis. To evaluate morphological changes in infected cells, we used Annexin-V and PI that can differentiate changes in cellular structure in the process of programmed cell death. In the early stage of apoptosis, phosphatidylserine (PS) exposes upon the outer leaflet of the cell membrane, which can be detected by Annexin-V with high affinity. In the late stage of apoptosis, leaky necrotic cells release DNA that can be stained by PI. Annexin-V-FLUOS staining kit (Roche, Mannheim, Germany) was used to label splenocytes collected at 24 h pi as recommended by the producer. NDV-induced CPE is associated with apoptosis. To evaluate morphological changes in infected cells, we used Annexin-V and PI that can differentiate changes in cellular structure in the process of programmed cell death. In the early stage of apoptosis, phosphatidylserine (PS) exposes upon the outer leaflet of the cell membrane, which can be detected by Annexin-V with high affinity. In the late stage of apoptosis, leaky necrotic cells release DNA that can be stained by PI. Annexin-V-FLUOS staining kit (Roche, Mannheim, Germany) was used to label splenocytes collected at 24 h pi as recommended by the producer. Statistical analysis Statistical significance of differences between experimental groups was determined using the Independent-Samples T test. Values of P < 0.05 were considered significant. Statistical significance of differences between experimental groups was determined using the Independent-Samples T test. Values of P < 0.05 were considered significant. Ethics statement: Experimental research on animals was approved by the Jiangsu Administrative Committee for Laboratory Animals (Permission number: SYXK-SU-2007-0005), and complied with the guidelines of Jiangsu laboratory animal welfare and ethical of Jiangsu Administrative Committee of Laboratory Animals. Viruses and cells: Details for viruses used in this study were listed in Table 1. Viruses were plaque-purified three times in CEF. These viruses were propagated in the allantoic cavities of 9-day-old specific-pathogen-free (SPF) embryonated chicken eggs. Virus titers were determined as 50% tissue culture infective dose (TCID50) in CEF. Chicken splenocytes were isolated as previously reported [10]. Briefly, single-cell suspensions were prepared by cutting the spleens into small pieces, gently dissociating the spleen pieces on a sterile copper wire mesh, and then purified by gradient centrifugation (500 × g, 30 min) using Histopaque 1077 (Sigma, St. Louis, USA). After washing with phosphate-buffered saline (PBS) for three times, splenocytes were resuspended in RPMI 1640 medium (Invitrogen, CA, USA). In vitro infection: Viable cells were counted using trypan blue exclusion prior to infection. Total amount of splenocytes needed were inoculated with NDV strains at a multiplicity of infection (MOI) of 1. Infected cells were seeded at 1 × 106 cells/well in 24-well-plates. Samples were collected at 6, 12 and 24 h pi. Virus replication assays: Viral replication was analyzed through two different ways. Virus contents in culture supernatants were quantified using standard plaque assay in CEF. In addition, transcription levels of viral M gene were determined using qRT-PCR. Primers for M genes (Table 2) were designed based on the conserved sequences that were identified using the Megalign program (DNASTAR, Madison, WI, USA). Primers for real-time PCR a: primers for viral M gene were designed based on the results of sequence comparison as described in the Methods. Cytokine gene expression: To determine host innate immune response to virus infection, the mRNA expression levels of IFN-α, IFN-β and IFN-γ were analyzed using a two-step qRT-PCR. Primers for these cytokine genes were listed in Table 2. Total RNA was isolated from splenocytes using the TRIzol reagent (Invitrogen, CA, USA). 100 nanogram (ng) of total RNA per sample was treated with 1 U DNase I (Fermentas, Maryland, USA) and used for reverse transcription reaction using 40 U M-MuLV reverse transcriptase (Fermentas, Maryland, USA) and 20 μM random primers in the presence of RNase inhibitor (Takara, Shiga, Japan) at 42°C for 90 min. cDNA and 200 nM (final concentration) each primer were mixed with 10 μl of 2 × SYBR Green PCR Master Mix (Takara). Reactions were performed in triplicate using the ABI Prism 7300 system with the following cycle profile: 1 cycle at 50°C for 2 min and 1 cycle at 95°C for 5 s followed by 40 cycles at 95°C for 5 s and 60°C for 31 s. 1 cycle for dissociation curve for all reactions was added. Relative expression levels were normalized using an internal β-actin control. The standard curve method was used to analyze the fold change of relative gene expression levels. Apoptosis assay: To measure virus-induced apoptosis, free nucleosomal DNA in cytoplasm was detected using the Cell Death Detection ELISA kit (Roche, Mannheim, Germany) according to the manual. Infected cells were pelleted by centrifugation and lysed with the lysis buffer from the kit. 20 μl of the cytoplasmic fraction of cell lysates was used to examine the release of free nucleosomal DNA. Annexin-V and PI double staining: NDV-induced CPE is associated with apoptosis. To evaluate morphological changes in infected cells, we used Annexin-V and PI that can differentiate changes in cellular structure in the process of programmed cell death. In the early stage of apoptosis, phosphatidylserine (PS) exposes upon the outer leaflet of the cell membrane, which can be detected by Annexin-V with high affinity. In the late stage of apoptosis, leaky necrotic cells release DNA that can be stained by PI. Annexin-V-FLUOS staining kit (Roche, Mannheim, Germany) was used to label splenocytes collected at 24 h pi as recommended by the producer. Statistical analysis: Statistical significance of differences between experimental groups was determined using the Independent-Samples T test. Values of P < 0.05 were considered significant. Abbreviations: CEF: Chicken embryo fibroblasts; CPE: Cytopathic effect; ELISA: Enzyme linked immunosorbent assay; IFN: Interferon; IRFs: IFN regulatory factors; M: Matrix; MOI: Multiplicity of infection; NDV: Newcastle disease virus; Ng: Nanogram; PBS: Phosphate-buffered saline; Pi: Post-inoculation; PI: Proidium iodid; PKR: Protein kinase R; PS: Phosphatidylserine; qRT-PCR: Quantitative real-time polymerase chain reaction; SPF: Specific-pathogen-free; TCID50: 50% tissue culture infective dose; TRAIL: TNF-related apoptosis-inducing ligand. Competing interests: The authors declare that they have no competing interests. Authors’ contributions: ZH and XL conceived and designed the experiments. ZH, JH and JZ performed the experiments. SH, XWL and XW contributed to the design of the study and revision of the draft. All the authors have read and approved the final manuscript. Authors’ information: 1Animal Infectious Disease Laboratory, 2Ministry of Education Key Lab for Avian Preventive Medicine, School of Veterinary Medicine, Yangzhou University, 12 East Wenhui Road, Yangzhou, Jiangsu Province, 225009, China.
Background: Genotype VIId Newcastle disease virus (NDV) isolates induce more severe damage to lymphoid tissues, especially to the spleen, when compared to virulent viruses of other genotypes. However, the biological basis of the unusual pathological changes remains largely unknown. Methods: Virus replication, cytokine gene expression profile and cell death response in chicken splenocytes infected with two genotype VIId NDV strains (JS5/05 and JS3/05), genotype IX NDV strain F48E8 and genotype IV NDV strain Herts/33 were evaluated. Statistical significance of differences between experimental groups was determined using the Independent-Samples T test. Results: JS5/05 and JS3/05 caused hyperinduction of type I interferons (IFNs) (IFN-α and -β) during detection period compared to F48E8 and Herts/33. JS5/05 increased expression level of IFN-γ gene at 6 h post-inoculation (pi) and JS3/05 initiated sustained activation of IFN-γ within 24 h pi, whereas transcriptional levels of IFN-γ remained unchanged at any of the time points during infection of F48E8 and Herts/33. In addition, compared to F48E8 and Herts/33, JS3/05 and JS5/05 significantly increased the amount of free nucleosomal DNA in splenocytes at 6 and 24 h pi respectively. Annexin-V and Proidium iodid (PI) double staining of infected cells showed that cell death induced by JS3/05 and JS5/05 was characterized by marked necrosis compared to F48E8 and Herts/33 at 24 h pi. These results indicate that genotype VIId NDV strains JS3/05 and JS5/05 elicited stronger innate immune and cell death responses in chicken splenocytes than F48E8 and Herts/33. JS5/05 replicated at a significantly higher efficiency in splenocytes than F48E8 and Herts/33. Early excessive cell death induced by JS3/05 infection partially impaired virus replication. Conclusions: Viral dysregulaiton of host response may be relevant to the severe pathological manifestation in the spleen following genotype VIId NDV infection.
Background: Genotype VIId Newcastle disease virus (NDV) is dominant in Asia [1-3]. Many pathological studies have revealed that genotype VIId NDV isolates induce the most severe necrosis in lymphoid tissues, especially in the spleen, when compared with virulent isolates of other genotypes [4-6]. However, the basis for the unusual pathological manifestation remains unclear. Although many viral determinants for pathogenicity of NDV have been identified [7-9], few mechanistic data regarding host response to NDV infection are available. Some recent studies have demonstrated that viral modulation of host innate immune response is associated with viral pathogenesis and pathological outcomes [4,10]. Similarly, numerous studies in animal and cell models have shown that robust host immune response contributes to the pathogenesis of highly pathogenic avian H5N1 influenza virus [11,12]. In addition, apoptosis is associated with the pathogenesis of NDV. Chickens experimentally infected with virulent NDV isolates exhibited prominent apoptosis in lymphoid tissues [13-15]. Moreover, Harrison et al. have shown that the degree of apoptosis in lymphoid tissues is correlated with the severity of disease caused by NDV strains of varying virulence [15]. Based on these findings, we hypothesize that host innate immune response and apoptosis are associated with the severe destruction of lymphoid tissues following genotype VIId NDV infection. Considering that results in primary cultured cells can be closely correlated with pathogenesis in vivo, we used chicken splenocytes as an in vitro model to compare apoptosis and cytokine response following infection with two genotype VIId NDV strains JS5/05 and JS3/05, a genotype IX NDV strain F48E8 and a genotype IV NDV strain Herts/33. Conclusions: In summary, genotype VIId NDV isolates (JS5/05 and JS3/05) induced stronger innate immune and cell death responses than genotype IX NDV strain F48E8 and genotype IV NDV strain Herts/33 in chicken splenocytes. This in vitro evidence indicates that dysregulation of host response may contribute to severe tissue damage in the lymphoid system caused by genotype VIId NDV. This study also highlights that besides standard pathogenicity indices, evaluation of viral-host interaction is required for full characterization of NDV isolates.
Background: Genotype VIId Newcastle disease virus (NDV) isolates induce more severe damage to lymphoid tissues, especially to the spleen, when compared to virulent viruses of other genotypes. However, the biological basis of the unusual pathological changes remains largely unknown. Methods: Virus replication, cytokine gene expression profile and cell death response in chicken splenocytes infected with two genotype VIId NDV strains (JS5/05 and JS3/05), genotype IX NDV strain F48E8 and genotype IV NDV strain Herts/33 were evaluated. Statistical significance of differences between experimental groups was determined using the Independent-Samples T test. Results: JS5/05 and JS3/05 caused hyperinduction of type I interferons (IFNs) (IFN-α and -β) during detection period compared to F48E8 and Herts/33. JS5/05 increased expression level of IFN-γ gene at 6 h post-inoculation (pi) and JS3/05 initiated sustained activation of IFN-γ within 24 h pi, whereas transcriptional levels of IFN-γ remained unchanged at any of the time points during infection of F48E8 and Herts/33. In addition, compared to F48E8 and Herts/33, JS3/05 and JS5/05 significantly increased the amount of free nucleosomal DNA in splenocytes at 6 and 24 h pi respectively. Annexin-V and Proidium iodid (PI) double staining of infected cells showed that cell death induced by JS3/05 and JS5/05 was characterized by marked necrosis compared to F48E8 and Herts/33 at 24 h pi. These results indicate that genotype VIId NDV strains JS3/05 and JS5/05 elicited stronger innate immune and cell death responses in chicken splenocytes than F48E8 and Herts/33. JS5/05 replicated at a significantly higher efficiency in splenocytes than F48E8 and Herts/33. Early excessive cell death induced by JS3/05 infection partially impaired virus replication. Conclusions: Viral dysregulaiton of host response may be relevant to the severe pathological manifestation in the spleen following genotype VIId NDV infection.
8,744
348
[ 308, 426, 169, 503, 311, 45, 165, 66, 102, 269, 70, 122, 28, 115, 10, 47, 37 ]
21
[ "05", "cells", "ifn", "virus", "pi", "splenocytes", "ndv", "js5 05", "js5", "js3" ]
[ "avian influenza virus", "virus pathogenicity apoptosis", "newcastle disease", "pathogenic avian h5n1", "pathogenesis ndv chickens" ]
[CONTENT] Innate immune response | Cell death | Splenic necrosis | Genotype VIId Newcastle disease virus [SUMMARY]
[CONTENT] Innate immune response | Cell death | Splenic necrosis | Genotype VIId Newcastle disease virus [SUMMARY]
[CONTENT] Innate immune response | Cell death | Splenic necrosis | Genotype VIId Newcastle disease virus [SUMMARY]
[CONTENT] Innate immune response | Cell death | Splenic necrosis | Genotype VIId Newcastle disease virus [SUMMARY]
[CONTENT] Innate immune response | Cell death | Splenic necrosis | Genotype VIId Newcastle disease virus [SUMMARY]
[CONTENT] Innate immune response | Cell death | Splenic necrosis | Genotype VIId Newcastle disease virus [SUMMARY]
[CONTENT] Animals | Apoptosis | Cell Death | Cells, Cultured | Chickens | Genotype | Interferon Type I | Newcastle Disease | Newcastle disease virus | Poultry Diseases | Spleen [SUMMARY]
[CONTENT] Animals | Apoptosis | Cell Death | Cells, Cultured | Chickens | Genotype | Interferon Type I | Newcastle Disease | Newcastle disease virus | Poultry Diseases | Spleen [SUMMARY]
[CONTENT] Animals | Apoptosis | Cell Death | Cells, Cultured | Chickens | Genotype | Interferon Type I | Newcastle Disease | Newcastle disease virus | Poultry Diseases | Spleen [SUMMARY]
[CONTENT] Animals | Apoptosis | Cell Death | Cells, Cultured | Chickens | Genotype | Interferon Type I | Newcastle Disease | Newcastle disease virus | Poultry Diseases | Spleen [SUMMARY]
[CONTENT] Animals | Apoptosis | Cell Death | Cells, Cultured | Chickens | Genotype | Interferon Type I | Newcastle Disease | Newcastle disease virus | Poultry Diseases | Spleen [SUMMARY]
[CONTENT] Animals | Apoptosis | Cell Death | Cells, Cultured | Chickens | Genotype | Interferon Type I | Newcastle Disease | Newcastle disease virus | Poultry Diseases | Spleen [SUMMARY]
[CONTENT] avian influenza virus | virus pathogenicity apoptosis | newcastle disease | pathogenic avian h5n1 | pathogenesis ndv chickens [SUMMARY]
[CONTENT] avian influenza virus | virus pathogenicity apoptosis | newcastle disease | pathogenic avian h5n1 | pathogenesis ndv chickens [SUMMARY]
[CONTENT] avian influenza virus | virus pathogenicity apoptosis | newcastle disease | pathogenic avian h5n1 | pathogenesis ndv chickens [SUMMARY]
[CONTENT] avian influenza virus | virus pathogenicity apoptosis | newcastle disease | pathogenic avian h5n1 | pathogenesis ndv chickens [SUMMARY]
[CONTENT] avian influenza virus | virus pathogenicity apoptosis | newcastle disease | pathogenic avian h5n1 | pathogenesis ndv chickens [SUMMARY]
[CONTENT] avian influenza virus | virus pathogenicity apoptosis | newcastle disease | pathogenic avian h5n1 | pathogenesis ndv chickens [SUMMARY]
[CONTENT] 05 | cells | ifn | virus | pi | splenocytes | ndv | js5 05 | js5 | js3 [SUMMARY]
[CONTENT] 05 | cells | ifn | virus | pi | splenocytes | ndv | js5 05 | js5 | js3 [SUMMARY]
[CONTENT] 05 | cells | ifn | virus | pi | splenocytes | ndv | js5 05 | js5 | js3 [SUMMARY]
[CONTENT] 05 | cells | ifn | virus | pi | splenocytes | ndv | js5 05 | js5 | js3 [SUMMARY]
[CONTENT] 05 | cells | ifn | virus | pi | splenocytes | ndv | js5 05 | js5 | js3 [SUMMARY]
[CONTENT] 05 | cells | ifn | virus | pi | splenocytes | ndv | js5 05 | js5 | js3 [SUMMARY]
[CONTENT] ndv | lymphoid tissues | tissues | genotype | lymphoid | pathogenesis | pathological | response | studies | apoptosis [SUMMARY]
[CONTENT] usa | primers | cycle | cells | animals | annexin | cell | laboratory | kit | min [SUMMARY]
[CONTENT] 05 | ifn | pi | cells | js5 | js5 05 | expression | js3 | js3 05 | f48e8 [SUMMARY]
[CONTENT] ndv | genotype | ndv strain | ndv isolates | strain | isolates | viid ndv | genotype viid ndv | genotype viid | host [SUMMARY]
[CONTENT] 05 | cells | ifn | ndv | pi | virus | splenocytes | js5 05 | js5 | apoptosis [SUMMARY]
[CONTENT] 05 | cells | ifn | ndv | pi | virus | splenocytes | js5 05 | js5 | apoptosis [SUMMARY]
[CONTENT] Genotype | Newcastle | NDV ||| [SUMMARY]
[CONTENT] two | NDV | JS5/05 | JS3/05 | NDV | Herts/33 ||| the Independent-Samples [SUMMARY]
[CONTENT] JS5/05 | JS3/05 | IFN | Herts/33 ||| JS5/05 | IFN | 6 | JS3/05 | IFN | 24 h pi | IFN | Herts/33 ||| Herts/33 | JS3/05 | JS5/05 | 6 ||| Annexin-V | Proidium | PI | JS3/05 | JS5/05 | Herts/33 | 24 h pi ||| NDV | JS3/05 | JS5/05 | Herts/33 ||| JS5/05 | Herts/33 ||| JS3/05 [SUMMARY]
[CONTENT] NDV [SUMMARY]
[CONTENT] Genotype | Newcastle | NDV ||| ||| two | NDV | JS5/05 | JS3/05 | NDV | Herts/33 ||| the Independent-Samples ||| JS5/05 | JS3/05 | IFN | Herts/33 ||| JS5/05 | IFN | 6 | JS3/05 | IFN | 24 h pi | IFN | Herts/33 ||| Herts/33 | JS3/05 | JS5/05 | 6 ||| Annexin-V | Proidium | PI | JS3/05 | JS5/05 | Herts/33 | 24 h pi ||| NDV | JS3/05 | JS5/05 | Herts/33 ||| JS5/05 | Herts/33 ||| JS3/05 ||| NDV [SUMMARY]
[CONTENT] Genotype | Newcastle | NDV ||| ||| two | NDV | JS5/05 | JS3/05 | NDV | Herts/33 ||| the Independent-Samples ||| JS5/05 | JS3/05 | IFN | Herts/33 ||| JS5/05 | IFN | 6 | JS3/05 | IFN | 24 h pi | IFN | Herts/33 ||| Herts/33 | JS3/05 | JS5/05 | 6 ||| Annexin-V | Proidium | PI | JS3/05 | JS5/05 | Herts/33 | 24 h pi ||| NDV | JS3/05 | JS5/05 | Herts/33 ||| JS5/05 | Herts/33 ||| JS3/05 ||| NDV [SUMMARY]
Entomological surveillance of Chagas disease in the East of Minas Gerais region, Brazil.
36134858
After decentralizing the actions of the Chagas Disease Control Program (CDCP) in Brazil, municipalities were now responsible for control measures against this endemic, supervised by the Regional Health Superintendencies (RHS). We aimed to evaluate the recent entomological surveillance of Chagas disease in the Regional Health Superintendence of Governador Valadares (RHS/GV) from 2014 to 2019.
BACKGROUND
Triatomines captured by residents during entomological surveillance were sent to the reference laboratory, where the species and evolutionary stages were identified, place of capture, and presence of Trypanosoma cruzi. A database was created, and the following were calculated: the rate of infection by T. cruzi (overall rate and rate by species), monthly seasonality, spatial distribution of species, number of captures, and infected triatomines/health microregions.
METHODS
We identified 1,708 insects; 1,506 (88.2%) were triatomines, most were adult instars (n=1,469), and few were nymphs (n=37). The identified species were Triatoma vitticeps, Panstrongylus megistus, Panstrongylus diasi, Rhodnius neglectus, and Panstrongylus geniculatus. The first three were most frequently captured and distributed throughout the study area. Most bugs were captured intradomicile (72.5%), mainly in the second semester, between September and November, with an average infection rate of 41.5% (predominantly T. vitticeps, 49.2%). All municipalities sent triatomines, especially in the microregions of Governador Valadares.
RESULTS
These data reinforce the need and importance of improving Chagas disease control measures in the region to establish active and participatory entomological surveillance.
CONCLUSIONS
[ "Animals", "Brazil", "Chagas Disease", "Humans", "Insect Vectors", "Panstrongylus", "Triatoma", "Trypanosoma cruzi" ]
9549951
INTRODUCTION
It is estimated that 5,742,167 people are infected with Trypanosoma cruzi worldwide, and 1.5 million of them are Brazilians 1 . In Brazil, a seroepidemiological survey conducted in rural areas revealed an overall prevalence of 4.2% positivity for T. cruzi infection 2 . Minas Gerais had the highest prevalence rate, representing 8.8% of the population. In parallel, an entomological survey carried out between 1975 and 1983 by direct search for infestation in houses, revealed areas of wide occurrence of domiciled triatomines 3 . The data from these two surveys were fundamental for determining the priority for controlling the transmission of Chagas disease. Attacking the vector is the most viable strategy, with extensive use of insecticides with residual action in infested locations 4 . Based on these initial surveys, areas at risk of vector transmission were defined and should have priority for control interventions, including 3,372 municipalities. Triatomine species responsible for domestic transmission were also identified, in order of importance: Triatoma infestans, Panstrongylus megistus, T. brasiliensis, T. sordida and T. pseudomaculata. Eastern Minas Gerais was not included in this priority area, despite evidence of human infection being confirmed in several municipalities, with prevalence rates varying between 0.2 and 12.4% 2 . Decades after these initiatives, the determinants allowing the occurrence of Chagas disease in the area corresponding to RHS/GV, Minas Gerais, remain unrecognized. Some municipalities have implemented surveillance activities for the presence of triatomines in homes; however, neither the data nor the methodology used were systematically evaluated. To elucidate this, the study aimed to collect information on the occurrence and infestation of households by triatomines in this region.
METHODS
The study was conducted in municipalities under the jurisdiction of RHS/GV in eastern Minas Gerais, Brazil. This area is composed of 51 municipalities divided into 4 health microregions: Peçanha, Governador Valadares, Mantena, and Resplendor (Figure 1). It is a region with a significantly degraded Atlantic forest and high temperature. FIGURE 1:Localization and division of Governador Valadares Regional Health Superintendence in microregion. The insects captured by the residents during passive surveillance from January 2014 to December 2019 were sent to the reference laboratory at RHS/GV. The insects were identified according to Alevi et al. 5 . T. cruzi infection in the digestive tract of triatomines was determined by analyzing the intestinal contents. Pressure was applied in the terminal part of the intestine diluted in PBS under a binocular microscope for analysis. The notification forms were analyzed according to the place of capture, date, and municipality where the captures were performed. This information was compiled using Microsoft Office Excel 2016. From this database, the natural infection rate of these triatomines was calculated (number of triatomines infected by T. cruzi/number of triatomines examined × 100) 6 , and the monthly seasonality of catches was determined. The spatial distribution of species was determined using Quantum GIS3.10 program and the free cartography base of IBGE. The research was approved by the Research Ethics Committee of the UFJF (number CAAE:34754520.5.0000.5147). Usage of data from the RHS/GV was authorized by the regional superintendent via a cooperation agreement signed with the Federal University of Juiz de Fora, campus Governador Valadares.
RESULTS
From 2014 to 2019, residents of the municipalities captured 1,708 insects, where1,506 were triatomines, 97.5% were adults, and 2.5% were nymphs. We identified 1,490 triatomines, predominantly Triatoma vitticeps, followed by Panstrongylus megistus, Panstrongylus diasi, Rhodnius neglectus, and Panstrongylus geniculatus. T. cruzi infected 41.5% of triatomines, with an even higher infection rate for T. vitticeps (49.2%). Aside from P. geniculatus, all species were mostly captured (72.5%) within domiciles (Table 1). TABLE 1:Numbers of captured triatomines, classified by species, place of capture, examination, and infection with Trypanosoma cruzi, sent for laboratory analysis by municipalities under the jurisdiction of the Governador Valadares Regional Health Superintendence, between 2014 and 2019.SpeciesPlace of capture Total (%)ExaminedInfected (%) IntraPeriNI T. vitticeps 73719420951 (63.8%)824405 (49.2%) P. megistus 184936283 (19.1%)23388 (37.8%) P. diasi 152875244 (16.4%)17717 (9.6%) R. neglectus 83011 (0.7%)85 (62.5%) P. geniculatus 0101 (0.1%)00 Total 1,081 (72.5%) 378 (25.4%) 31 (2.1%) 1,490 (100%) 1,242 (83,4%) 515 (41.5%) Intra: Intradomicile; Peri: Peridomicile; NI: Not identified. Intra: Intradomicile; Peri: Peridomicile; NI: Not identified. During this study, triatomines were captured in all municipalities in the study area with an average annual participation of 39 municipalities. All species were captured mainly during the second half of the year, (September-November). Although captures were carried out in all municipalities, a considerable number of specimens were identified in the following municipalities: Conselheiro Pena (n=144), Tarumirim (n=108), Governador Valadares (n=102), Sobralia (n=97), Capitão Andrade (n=88), José Raydan (n=86), Itanhomi (n=78), Água Boa (n=70), and Aimorés (n=63) (Table 2). TABLE 2:Number of triatomines captured, examined, and infected by Trypanosoma cruzi and natural infection rate in the municipalities registered by health microregion, between 2014 and 2019.MunicipalitiesCapturedExaminedInfectedNatural infection rate Microregion of Governador Valadares Tarumirim108954951.6%Governador Valadares102852934.1%Sobrália97894752.8%Capitão Andrade88764457.9%Itanhomi78653655.4%São Geraldo do Baixio47421638.1%Frei Inocêncio39351748.6%São José da Safira3224937.5%Galileia2623834.8%Fernandes Tourinho2218316.7%Engenheiro Caldas1611545.5%Tumiritinga1610220%São Geraldo da Piedade1513861.5%Virgolândia1410770%Nacip Raydan12400%Gonzaga105480.0%Alpercata97342.9%Coroaci64125%Divinolândia de Minas44375%Mathias Lobato4300%Jampruca33133.3%Santa Efigênia de Minas311100%Sardoá22150%Marilac211100%Total75563029546.8% Microregion of Resplendor Conselheiro Pena1441196554.6%Aimorés63431330.2%Resplendor3029620.7%Itueta2717317.6%Goiabeira2218633.3%Santa Rita do Itueto1815746.7%Alvarenga1714535.7%Cuparaque88337.5%Total32926310841.1% Microregion of Peçanha José Raydan86823137.8%Água Boa70581119%São Sebastião do Maranhão383538.6%São Pedro do Suaçui32261661.5%São João Evangelista2518738.9%Peçanha2217952.9%Paulistas1610660%São José Jacuri1512325%Santa Maria do Suaçui15900%Canta Galo54125%Frei Lagonegro211100%Total3262728832.4% Microregion of Mantena Mendes Pimentel2622731.8%Divino das Laranjeiras2019315.8%São Felix de Minas1513861.5%Central de Minas12800%Itabirinha de Mantena108562.5%Mantena9500%São João do Manteninha311100%Nova Belém1100%Total96772431.2%Grand total 1,5061,24251541.5% Only 6 of the 51 municipalities studied did not capture infected triatomines. The municipalities that sent the most T. cruzi­­-infected triatomines were: Conselheiro Pena (n=65), Tarumirim (n=49), Sobralia (n=47), Capitão Andrade (n=44), Itanhomi (n=36), José Raydan (n=31), and Governador Valadares (n=29) (Table 2). T. vitticeps had a broader dispersion (45 municipalities) and wider T. cruzi infection (n=36). P. megistus was captured in 36 municipalities, where 23 were infected, whereas P. diasi was captured in 41 municipalities, where 11 were infected. R. neglectus was captured only in Governador Valadares, with specimens infected by T. cruzi. P. geniculatus was captured once in Itanhomi and was not examined for infection (Figure 2). FIGURE 2:Spacial distribution of municipalities with capture of triatomines according to species: Triatoma vitticeps; Panstrongylus megistus and Panstrongylus diasi, infected or not between 2014 and 2019. The microregion of Governador Valadares is notable because besides having a more significant number of municipalities under the jurisdiction of the RHS (n=24)-it sent the largest number of triatomine specimens (n=755) and presented a natural infection rate of 46.8%. These captures were mainly concentrated in the municipalities of Tarumirim (n=108), Governador Valadares (n=102), Sobrália (n=97), Capitão Andrade (n=88), and Itanhomi (n=78), which also sent the highest number of infected specimens to the RHS (Table 2). The microregion of Resplendor sent 329 specimens, captured mainly in the municipalities of Conselheiro Pena (n=144) and Aimorés (n=63), and had a natural infection rate of 41.1%. The microregion of Peçanha submitted 326 triatomine specimens, most of which were captured in José Raydan (n=86) and Água Boa (n=70). Infected specimens were mainly caught in José Raydan (n=31) and São Pedro do Suaçui (n=16), with a natural infection rate of 32.4%. The microregion of Mantena had the smallest number of specimens (n=96) and the lowest natural infection rate (31.2%) (Table 3). In the microregions of Governador Valadares, Resplendor, and Mantena, the species captured was predominantly T. vitticeps, followed by P. diasi, and P. megistus. Captures were mostly intradomicile, and most of the T. cruzi-infected insects were concentrated (Table 3). The triatomines captured in the microregion of Peçanha were predominantly those of P. megistus, followed by T. vitticeps and P. diasi, and infected specimens were mostly captured intradomicile (Table 3). TABLE 3:Distribution of triatomines species captured, examined, infected by Trypanosoma cruzi and place of capture registered by healths microregions, between 2014 and 2019.SpeciesCapturedExaminedInfected (%)Place of capture Infected triatomines IntraPeriNIIntraPeri Microregion of Governador Valadares T. vitticeps 568500269 (53.8%)4341211321847 P. diasi 127906 (6.7%)8143323 P. megistus 413215 (46.9%)3110096 R. neglectus 1185 (62.5%)83023 P. geniculatus 100 (0%)01000Total748630295 (46.8%)5541781623159 Microregion of Resplendor T. vitticeps 24119899 (50%)2053068612 P. diasi 76575 (8.8%)4332132 P. megistus 984 (50%)81040Total326263108 (41.1%)2566379314 Microregion of Peçanha P. megistus 22919067 (35.3%)1418264817 T. vitticeps 736816 (23.5%)34390133 P. diasi 18145 (35.7%)143131Total32027288 (32.4%)18912476421 Microregion of Mantena T. vitticeps 695821 (36.2%)6441210 P. diasi 23161 (6.3%)149010 P. megistus 432 (66.7%)40020Total967724 (31.2%)82131240 1,490 1,242 515 (41.5%) 1,081 378 31 412 94 Intra: Intradomicile. Peri: Peridomicile. NI: Not identified. Intra: Intradomicile. Peri: Peridomicile. NI: Not identified.
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[ "INTRODUCTION", "METHODS", "RESULTS", "DISCUSSION" ]
[ "It is estimated that 5,742,167 people are infected with Trypanosoma cruzi worldwide, and 1.5 million of them are Brazilians\n1\n. In Brazil, a seroepidemiological survey conducted in rural areas revealed an overall prevalence of 4.2% positivity for T. cruzi infection\n2\n. Minas Gerais had the highest prevalence rate, representing 8.8% of the population. In parallel, an entomological survey carried out between 1975 and 1983 by direct search for infestation in houses, revealed areas of wide occurrence of domiciled triatomines\n3\n. The data from these two surveys were fundamental for determining the priority for controlling the transmission of Chagas disease. Attacking the vector is the most viable strategy, with extensive use of insecticides with residual action in infested locations\n4\n. Based on these initial surveys, areas at risk of vector transmission were defined and should have priority for control interventions, including 3,372 municipalities. Triatomine species responsible for domestic transmission were also identified, in order of importance: Triatoma infestans, Panstrongylus megistus, T. brasiliensis, T. sordida and T. pseudomaculata. Eastern Minas Gerais was not included in this priority area, despite evidence of human infection being confirmed in several municipalities, with prevalence rates varying between 0.2 and 12.4%\n2\n. Decades after these initiatives, the determinants allowing the occurrence of Chagas disease in the area corresponding to RHS/GV, Minas Gerais, remain unrecognized. Some municipalities have implemented surveillance activities for the presence of triatomines in homes; however, neither the data nor the methodology used were systematically evaluated. To elucidate this, the study aimed to collect information on the occurrence and infestation of households by triatomines in this region.", "The study was conducted in municipalities under the jurisdiction of RHS/GV in eastern Minas Gerais, Brazil. This area is composed of 51 municipalities divided into 4 health microregions: Peçanha, Governador Valadares, Mantena, and Resplendor (Figure 1). It is a region with a significantly degraded Atlantic forest and high temperature.\n\nFIGURE 1:Localization and division of Governador Valadares Regional Health Superintendence in microregion.\n\nThe insects captured by the residents during passive surveillance from January 2014 to December 2019 were sent to the reference laboratory at RHS/GV. The insects were identified according to Alevi et al.\n5\n. T. cruzi infection in the digestive tract of triatomines was determined by analyzing the intestinal contents. Pressure was applied in the terminal part of the intestine diluted in PBS under a binocular microscope for analysis.\nThe notification forms were analyzed according to the place of capture, date, and municipality where the captures were performed. This information was compiled using Microsoft Office Excel 2016. From this database, the natural infection rate of these triatomines was calculated (number of triatomines infected by T. cruzi/number of triatomines examined × 100)\n6\n, and the monthly seasonality of catches was determined. The spatial distribution of species was determined using Quantum GIS3.10 program and the free cartography base of IBGE. The research was approved by the Research Ethics Committee of the UFJF (number CAAE:34754520.5.0000.5147). Usage of data from the RHS/GV was authorized by the regional superintendent via a cooperation agreement signed with the Federal University of Juiz de Fora, campus Governador Valadares. ", "From 2014 to 2019, residents of the municipalities captured 1,708 insects, where1,506 were triatomines, 97.5% were adults, and 2.5% were nymphs. We identified 1,490 triatomines, predominantly Triatoma vitticeps, followed by Panstrongylus megistus, Panstrongylus diasi, Rhodnius neglectus, and Panstrongylus geniculatus. T. cruzi infected 41.5% of triatomines, with an even higher infection rate for T. vitticeps (49.2%). Aside from P. geniculatus, all species were mostly captured (72.5%) within domiciles (Table 1).\n\nTABLE 1:Numbers of captured triatomines, classified by species, place of capture, examination, and infection with Trypanosoma cruzi, sent for laboratory analysis by municipalities under the jurisdiction of the Governador Valadares Regional Health Superintendence, between 2014 and 2019.SpeciesPlace of capture Total (%)ExaminedInfected (%)\nIntraPeriNI\n\n\n\nT. vitticeps\n73719420951 (63.8%)824405 (49.2%)\nP. megistus\n184936283 (19.1%)23388 (37.8%)\nP. diasi\n152875244 (16.4%)17717 (9.6%)\nR. neglectus\n83011 (0.7%)85 (62.5%)\nP. geniculatus\n0101 (0.1%)00\nTotal\n\n1,081 (72.5%)\n\n378 (25.4%)\n\n31 (2.1%)\n\n1,490 (100%)\n\n1,242 (83,4%)\n\n515 (41.5%)\nIntra: Intradomicile; Peri: Peridomicile; NI: Not identified.\n\nIntra: Intradomicile; Peri: Peridomicile; NI: Not identified.\nDuring this study, triatomines were captured in all municipalities in the study area with an average annual participation of 39 municipalities. All species were captured mainly during the second half of the year, (September-November). Although captures were carried out in all municipalities, a considerable number of specimens were identified in the following municipalities: Conselheiro Pena (n=144), Tarumirim (n=108), Governador Valadares (n=102), Sobralia (n=97), Capitão Andrade (n=88), José Raydan (n=86), Itanhomi (n=78), Água Boa (n=70), and Aimorés (n=63) (Table 2).\n\nTABLE 2:Number of triatomines captured, examined, and infected by Trypanosoma cruzi and natural infection rate in the municipalities registered by health microregion, between 2014 and 2019.MunicipalitiesCapturedExaminedInfectedNatural infection rate\nMicroregion of Governador Valadares\nTarumirim108954951.6%Governador Valadares102852934.1%Sobrália97894752.8%Capitão Andrade88764457.9%Itanhomi78653655.4%São Geraldo do Baixio47421638.1%Frei Inocêncio39351748.6%São José da Safira3224937.5%Galileia2623834.8%Fernandes Tourinho2218316.7%Engenheiro Caldas1611545.5%Tumiritinga1610220%São Geraldo da Piedade1513861.5%Virgolândia1410770%Nacip Raydan12400%Gonzaga105480.0%Alpercata97342.9%Coroaci64125%Divinolândia de Minas44375%Mathias Lobato4300%Jampruca33133.3%Santa Efigênia de Minas311100%Sardoá22150%Marilac211100%Total75563029546.8%\nMicroregion of Resplendor\nConselheiro Pena1441196554.6%Aimorés63431330.2%Resplendor3029620.7%Itueta2717317.6%Goiabeira2218633.3%Santa Rita do Itueto1815746.7%Alvarenga1714535.7%Cuparaque88337.5%Total32926310841.1%\nMicroregion of Peçanha\nJosé Raydan86823137.8%Água Boa70581119%São Sebastião do Maranhão383538.6%São Pedro do Suaçui32261661.5%São João Evangelista2518738.9%Peçanha2217952.9%Paulistas1610660%São José Jacuri1512325%Santa Maria do Suaçui15900%Canta Galo54125%Frei Lagonegro211100%Total3262728832.4%\nMicroregion of Mantena\nMendes Pimentel2622731.8%Divino das Laranjeiras2019315.8%São Felix de Minas1513861.5%Central de Minas12800%Itabirinha de Mantena108562.5%Mantena9500%São João do Manteninha311100%Nova Belém1100%Total96772431.2%Grand total 1,5061,24251541.5%\n\nOnly 6 of the 51 municipalities studied did not capture infected triatomines. The municipalities that sent the most T. cruzi­­-infected triatomines were: Conselheiro Pena (n=65), Tarumirim (n=49), Sobralia (n=47), Capitão Andrade (n=44), Itanhomi (n=36), José Raydan (n=31), and Governador Valadares (n=29) (Table 2).\n\nT. vitticeps had a broader dispersion (45 municipalities) and wider T. cruzi infection (n=36). P. megistus was captured in 36 municipalities, where 23 were infected, whereas P. diasi was captured in 41 municipalities, where 11 were infected. R. neglectus was captured only in Governador Valadares, with specimens infected by T. cruzi. P. geniculatus was captured once in Itanhomi and was not examined for infection (Figure 2).\n\nFIGURE 2:Spacial distribution of municipalities with capture of triatomines according to species: Triatoma vitticeps; Panstrongylus megistus and Panstrongylus diasi, infected or not between 2014 and 2019.\n\nThe microregion of Governador Valadares is notable because besides having a more significant number of municipalities under the jurisdiction of the RHS (n=24)-it sent the largest number of triatomine specimens (n=755) and presented a natural infection rate of 46.8%. These captures were mainly concentrated in the municipalities of Tarumirim (n=108), Governador Valadares (n=102), Sobrália (n=97), Capitão Andrade (n=88), and Itanhomi (n=78), which also sent the highest number of infected specimens to the RHS (Table 2).\nThe microregion of Resplendor sent 329 specimens, captured mainly in the municipalities of Conselheiro Pena (n=144) and Aimorés (n=63), and had a natural infection rate of 41.1%. The microregion of Peçanha submitted 326 triatomine specimens, most of which were captured in José Raydan (n=86) and Água Boa (n=70). Infected specimens were mainly caught in José Raydan (n=31) and São Pedro do Suaçui (n=16), with a natural infection rate of 32.4%. The microregion of Mantena had the smallest number of specimens (n=96) and the lowest natural infection rate (31.2%) (Table 3).\nIn the microregions of Governador Valadares, Resplendor, and Mantena, the species captured was predominantly T. vitticeps, followed by P. diasi, and P. megistus. Captures were mostly intradomicile, and most of the T. cruzi-infected insects were concentrated (Table 3). The triatomines captured in the microregion of Peçanha were predominantly those of P. megistus, followed by T. vitticeps and P. diasi, and infected specimens were mostly captured intradomicile (Table 3).\n\nTABLE 3:Distribution of triatomines species captured, examined, infected by Trypanosoma cruzi and place of capture registered by healths microregions, between 2014 and 2019.SpeciesCapturedExaminedInfected (%)Place of capture Infected triatomines \n\n\n\nIntraPeriNIIntraPeri\nMicroregion of Governador Valadares\n\nT. vitticeps\n568500269 (53.8%)4341211321847\nP. diasi\n127906 (6.7%)8143323\nP. megistus\n413215 (46.9%)3110096\nR. neglectus\n1185 (62.5%)83023\nP. geniculatus\n100 (0%)01000Total748630295 (46.8%)5541781623159\nMicroregion of Resplendor\n\nT. vitticeps\n24119899 (50%)2053068612\nP. diasi\n76575 (8.8%)4332132\nP. megistus\n984 (50%)81040Total326263108 (41.1%)2566379314\nMicroregion of Peçanha\n\nP. megistus\n22919067 (35.3%)1418264817\nT. vitticeps\n736816 (23.5%)34390133\nP. diasi\n18145 (35.7%)143131Total32027288 (32.4%)18912476421\nMicroregion of Mantena\n\nT. vitticeps\n695821 (36.2%)6441210\nP. diasi\n23161 (6.3%)149010\nP. megistus\n432 (66.7%)40020Total967724 (31.2%)82131240\n\n1,490\n\n1,242\n\n515 (41.5%)\n\n1,081\n\n378\n\n31\n\n412\n\n94\nIntra: Intradomicile. Peri: Peridomicile. NI: Not identified.\n\nIntra: Intradomicile. Peri: Peridomicile. NI: Not identified.", "The capture of insects by the general population reflects the residents’ ability to recognize triatomines capable of transmitting T. cruzi, as observed by Vilella et al.\n7\n for other regions of Minas Gerais. Between 2014 and 2019, municipalities under the jurisdiction of RHS/GV distinguished triatomines from other insects in 88.2% of the specimens; thus, revealing that residents of the household units in this region are aware of CD vectors. Of the insects notified, 11.8% were phytophages or predators. This also reinforces the need for constant awareness among the population regarding the identification of triatomines, as it is the key to the occurrence of infestation notification. There was a predominance of adult capture (97.5%), revealing the capacity of these vectors to invade houses possibly attracted by light sources\n8\n\n,\n\n9\n. This is a frequent finding in areas under entomological surveillance\n7\n. Nymphs are mostly captured when trained personnel perform an active search. It is important to emphasize that the presence of nymphs indicates colonization of the species, either in the household or peridomicile\n10\n. Detecting nymphs in the household also demonstrates their adaptation to the environment, which may increase contact between the insect and residents.\nCaptures in the study area were predominantly intradomicile (72.5%), resembling the capture profiles in the macroregions of Minas Gerais of Diamantina\n11\n and Divinópolis\n12\n and of the Espírito Santo state\n13\n. In the Itanhomi municipality-located in the Rio Doce Valley and part of the health region assessed in this study-Souza et al.\n14\n demonstrated an intense movement of triatomines among the wild, peridomiciliary, and domestic environments, showing high rates of natural infection. \nOf the triatomines reported, 83.4% were examined for T. cruzi infection, reinforcing considerable conservation of the triatomines sent for examination. This high percentage of captured and examined insects reflects the timely execution of control actions, aiding the identification and analysis of almost all insects captured by the residents. \nHigh rates of natural infection by T. cruzi have also been reported in regions with similar landscapes, such as Espírito Santo\n13\n and Rio de Janeiro\n15\n\n,\n\n16\n. In contrast, the rates varied between 1.3% and 8.3% in the Midwest region of Minas Gerais\n7\n\n,\n\n12\n. High rates of triatomine infection increase the chances of vector transmission in cases of vector-human contact; therefore, surveillance should be reinforced so that subsequent cases can be identified immediately and referred for diagnosis and treatment. \nThe triatomines identified were T. vitticeps, P. megistus, P. diasi, R. neglectus, and P. geniculatus, with the first three being predominant. This is the first study reporting the occurrence of P. diasi, R. neglectus, and P. geniculatus in the studied region. T. vitticeps was most commonly captured by residents in the urban area of Diamantina, Minas Gerais\n11\n\n, and the Espírito Santo state\n13\n; areas neighboring the macroregion of Governador Valadares. In this study, we found a natural infection rate of 49.2% for T. vitticeps, lower than that found in the Itanhomi municipality\n14\n and states of Espírito Santo\n13\n and Rio de Janeiro\n15\n\n,\n\n16\n. Our findings demonstrate the continuity of T.vitticeps occurrence between these regions.\n\nP. megistus is widely distributed in Brazil, from the northeast to the south\n8\n. In Minas Gerais, this species also has a wide dispersal area and is considered the most important triatomine in this state\n17\n. In the health macroregion of Governador Valadares, P. megistus was the second most common species, accounting for 18.9% of specimens, with a T. cruzi infection rate of 37.8%. The predominance of intradomicile captures, consistent with the findings of the present study, was also reported in other studies, wherein captures were also performed by passive search\n11\n\n,\n\n12\n. Historical data in the past indicate that the region studied had a considerable rate of natural infection by T. cruzi among vector species\n18\n. Other Minas Gerais and São Paulo state regions have lower natural infection rates for P. megistus\n\n19\n\n,\n\n20\n. \nThe third most reported species was P. diasi, which differs from other regions of Minas Gerais, such as Triângulo Mineiro and Alto Parnaíba. Here, triatomines of this species represent 0.8% of the specimens with none of them being infected\n20\n. In the Midwest region of Minas Gerais, P. diasi representation was even lower\n7\n, as in Uberlândia, Minas Gerais. The high number of P. diasi captured intradomicile, with a natural infection rate of 9.6%, makes this study region notable because of this species in the state. \nFor R. neglectus, despite the small sample size of 11 insects, the infection of 5 specimens was relevant. Silveira et al.\n3\n reported the capture of said species in the Control Program of Chagas Disease in 1975-1983 in 103 municipalities of Minas Gerais state, which did not include the municipalities studied. In the present study, R. neglectus was exclusively captured in the Governador Valadares municipality while P. geniculatus was only captured in the Itanhomi municipality. Other regions of Minas Gerais have a wide dispersion of this species, but with a low frequency\n20\n. \nConsidering the monthly frequency of capture, a predominance of triatomines was observed in the second semester, especially between September and November. Therefore, the triatomine species found in the region east of Minas Gerais were captured predominantly between spring and summer.\nTriatomine capture occurred at least once between 2014 and 2019, with an average of 39 municipalities annually. The participation of municipalities in notifying insects for control actions is frequent, demonstrating good adherence to entomological monitoring.\nThe spatial distribution revealed a wide dispersion of T. vitticeps, P. megistus, and P. diasi, with specimens infected by T. cruzi in all species. The data presented here show the predominance of T. vitticeps in the microregions bordering the state of Espírito Santo, where this species is also predominant\n13\n. P. megistus is the predominant species in the microregion of Peçanha, which borders municipalities belonging to the health macroregion of Diamantina, where P. megistus is predominantly captured\n21\n. This geographical proximity between municipalities and similar environmental features favor the proliferation of certain species to the detriment of others. \nConsidering the number of specimens captured and triatomines infected, the municipalities of Conselheiro Pena, Tarumirim, Governador Valadares, Sobrália, Capitão Andrade, José Raydan, and Itanhomi were noteworthy. Of these municipalities, 5 belong to the microregion of Governador Valadares, making this the area with the most significant capture and highest average natural infection rate (46.8%); that is, a region that demands greater attention in the execution of its activities, considering the risk of vectorial transmission of T. cruzi. \nIn conclusion, the data presented here demonstrate the diversity of triatomine species, a constant presence invading the intradomicile environment, and a considerable rate of infection by T. cruzi in the municipalities studied. Therefore, actions must be taken to improve entomological surveillance as well as strengthen and enhance active and participative surveillance." ]
[ "intro", "methods", "results", "discussion" ]
[ "Triatomine", "Vector control", "Trypanosoma cruzi", "T. vitticeps", "Entomological surveillance" ]
INTRODUCTION: It is estimated that 5,742,167 people are infected with Trypanosoma cruzi worldwide, and 1.5 million of them are Brazilians 1 . In Brazil, a seroepidemiological survey conducted in rural areas revealed an overall prevalence of 4.2% positivity for T. cruzi infection 2 . Minas Gerais had the highest prevalence rate, representing 8.8% of the population. In parallel, an entomological survey carried out between 1975 and 1983 by direct search for infestation in houses, revealed areas of wide occurrence of domiciled triatomines 3 . The data from these two surveys were fundamental for determining the priority for controlling the transmission of Chagas disease. Attacking the vector is the most viable strategy, with extensive use of insecticides with residual action in infested locations 4 . Based on these initial surveys, areas at risk of vector transmission were defined and should have priority for control interventions, including 3,372 municipalities. Triatomine species responsible for domestic transmission were also identified, in order of importance: Triatoma infestans, Panstrongylus megistus, T. brasiliensis, T. sordida and T. pseudomaculata. Eastern Minas Gerais was not included in this priority area, despite evidence of human infection being confirmed in several municipalities, with prevalence rates varying between 0.2 and 12.4% 2 . Decades after these initiatives, the determinants allowing the occurrence of Chagas disease in the area corresponding to RHS/GV, Minas Gerais, remain unrecognized. Some municipalities have implemented surveillance activities for the presence of triatomines in homes; however, neither the data nor the methodology used were systematically evaluated. To elucidate this, the study aimed to collect information on the occurrence and infestation of households by triatomines in this region. METHODS: The study was conducted in municipalities under the jurisdiction of RHS/GV in eastern Minas Gerais, Brazil. This area is composed of 51 municipalities divided into 4 health microregions: Peçanha, Governador Valadares, Mantena, and Resplendor (Figure 1). It is a region with a significantly degraded Atlantic forest and high temperature. FIGURE 1:Localization and division of Governador Valadares Regional Health Superintendence in microregion. The insects captured by the residents during passive surveillance from January 2014 to December 2019 were sent to the reference laboratory at RHS/GV. The insects were identified according to Alevi et al. 5 . T. cruzi infection in the digestive tract of triatomines was determined by analyzing the intestinal contents. Pressure was applied in the terminal part of the intestine diluted in PBS under a binocular microscope for analysis. The notification forms were analyzed according to the place of capture, date, and municipality where the captures were performed. This information was compiled using Microsoft Office Excel 2016. From this database, the natural infection rate of these triatomines was calculated (number of triatomines infected by T. cruzi/number of triatomines examined × 100) 6 , and the monthly seasonality of catches was determined. The spatial distribution of species was determined using Quantum GIS3.10 program and the free cartography base of IBGE. The research was approved by the Research Ethics Committee of the UFJF (number CAAE:34754520.5.0000.5147). Usage of data from the RHS/GV was authorized by the regional superintendent via a cooperation agreement signed with the Federal University of Juiz de Fora, campus Governador Valadares. RESULTS: From 2014 to 2019, residents of the municipalities captured 1,708 insects, where1,506 were triatomines, 97.5% were adults, and 2.5% were nymphs. We identified 1,490 triatomines, predominantly Triatoma vitticeps, followed by Panstrongylus megistus, Panstrongylus diasi, Rhodnius neglectus, and Panstrongylus geniculatus. T. cruzi infected 41.5% of triatomines, with an even higher infection rate for T. vitticeps (49.2%). Aside from P. geniculatus, all species were mostly captured (72.5%) within domiciles (Table 1). TABLE 1:Numbers of captured triatomines, classified by species, place of capture, examination, and infection with Trypanosoma cruzi, sent for laboratory analysis by municipalities under the jurisdiction of the Governador Valadares Regional Health Superintendence, between 2014 and 2019.SpeciesPlace of capture Total (%)ExaminedInfected (%) IntraPeriNI T. vitticeps 73719420951 (63.8%)824405 (49.2%) P. megistus 184936283 (19.1%)23388 (37.8%) P. diasi 152875244 (16.4%)17717 (9.6%) R. neglectus 83011 (0.7%)85 (62.5%) P. geniculatus 0101 (0.1%)00 Total 1,081 (72.5%) 378 (25.4%) 31 (2.1%) 1,490 (100%) 1,242 (83,4%) 515 (41.5%) Intra: Intradomicile; Peri: Peridomicile; NI: Not identified. Intra: Intradomicile; Peri: Peridomicile; NI: Not identified. During this study, triatomines were captured in all municipalities in the study area with an average annual participation of 39 municipalities. All species were captured mainly during the second half of the year, (September-November). Although captures were carried out in all municipalities, a considerable number of specimens were identified in the following municipalities: Conselheiro Pena (n=144), Tarumirim (n=108), Governador Valadares (n=102), Sobralia (n=97), Capitão Andrade (n=88), José Raydan (n=86), Itanhomi (n=78), Água Boa (n=70), and Aimorés (n=63) (Table 2). TABLE 2:Number of triatomines captured, examined, and infected by Trypanosoma cruzi and natural infection rate in the municipalities registered by health microregion, between 2014 and 2019.MunicipalitiesCapturedExaminedInfectedNatural infection rate Microregion of Governador Valadares Tarumirim108954951.6%Governador Valadares102852934.1%Sobrália97894752.8%Capitão Andrade88764457.9%Itanhomi78653655.4%São Geraldo do Baixio47421638.1%Frei Inocêncio39351748.6%São José da Safira3224937.5%Galileia2623834.8%Fernandes Tourinho2218316.7%Engenheiro Caldas1611545.5%Tumiritinga1610220%São Geraldo da Piedade1513861.5%Virgolândia1410770%Nacip Raydan12400%Gonzaga105480.0%Alpercata97342.9%Coroaci64125%Divinolândia de Minas44375%Mathias Lobato4300%Jampruca33133.3%Santa Efigênia de Minas311100%Sardoá22150%Marilac211100%Total75563029546.8% Microregion of Resplendor Conselheiro Pena1441196554.6%Aimorés63431330.2%Resplendor3029620.7%Itueta2717317.6%Goiabeira2218633.3%Santa Rita do Itueto1815746.7%Alvarenga1714535.7%Cuparaque88337.5%Total32926310841.1% Microregion of Peçanha José Raydan86823137.8%Água Boa70581119%São Sebastião do Maranhão383538.6%São Pedro do Suaçui32261661.5%São João Evangelista2518738.9%Peçanha2217952.9%Paulistas1610660%São José Jacuri1512325%Santa Maria do Suaçui15900%Canta Galo54125%Frei Lagonegro211100%Total3262728832.4% Microregion of Mantena Mendes Pimentel2622731.8%Divino das Laranjeiras2019315.8%São Felix de Minas1513861.5%Central de Minas12800%Itabirinha de Mantena108562.5%Mantena9500%São João do Manteninha311100%Nova Belém1100%Total96772431.2%Grand total 1,5061,24251541.5% Only 6 of the 51 municipalities studied did not capture infected triatomines. The municipalities that sent the most T. cruzi­­-infected triatomines were: Conselheiro Pena (n=65), Tarumirim (n=49), Sobralia (n=47), Capitão Andrade (n=44), Itanhomi (n=36), José Raydan (n=31), and Governador Valadares (n=29) (Table 2). T. vitticeps had a broader dispersion (45 municipalities) and wider T. cruzi infection (n=36). P. megistus was captured in 36 municipalities, where 23 were infected, whereas P. diasi was captured in 41 municipalities, where 11 were infected. R. neglectus was captured only in Governador Valadares, with specimens infected by T. cruzi. P. geniculatus was captured once in Itanhomi and was not examined for infection (Figure 2). FIGURE 2:Spacial distribution of municipalities with capture of triatomines according to species: Triatoma vitticeps; Panstrongylus megistus and Panstrongylus diasi, infected or not between 2014 and 2019. The microregion of Governador Valadares is notable because besides having a more significant number of municipalities under the jurisdiction of the RHS (n=24)-it sent the largest number of triatomine specimens (n=755) and presented a natural infection rate of 46.8%. These captures were mainly concentrated in the municipalities of Tarumirim (n=108), Governador Valadares (n=102), Sobrália (n=97), Capitão Andrade (n=88), and Itanhomi (n=78), which also sent the highest number of infected specimens to the RHS (Table 2). The microregion of Resplendor sent 329 specimens, captured mainly in the municipalities of Conselheiro Pena (n=144) and Aimorés (n=63), and had a natural infection rate of 41.1%. The microregion of Peçanha submitted 326 triatomine specimens, most of which were captured in José Raydan (n=86) and Água Boa (n=70). Infected specimens were mainly caught in José Raydan (n=31) and São Pedro do Suaçui (n=16), with a natural infection rate of 32.4%. The microregion of Mantena had the smallest number of specimens (n=96) and the lowest natural infection rate (31.2%) (Table 3). In the microregions of Governador Valadares, Resplendor, and Mantena, the species captured was predominantly T. vitticeps, followed by P. diasi, and P. megistus. Captures were mostly intradomicile, and most of the T. cruzi-infected insects were concentrated (Table 3). The triatomines captured in the microregion of Peçanha were predominantly those of P. megistus, followed by T. vitticeps and P. diasi, and infected specimens were mostly captured intradomicile (Table 3). TABLE 3:Distribution of triatomines species captured, examined, infected by Trypanosoma cruzi and place of capture registered by healths microregions, between 2014 and 2019.SpeciesCapturedExaminedInfected (%)Place of capture Infected triatomines IntraPeriNIIntraPeri Microregion of Governador Valadares T. vitticeps 568500269 (53.8%)4341211321847 P. diasi 127906 (6.7%)8143323 P. megistus 413215 (46.9%)3110096 R. neglectus 1185 (62.5%)83023 P. geniculatus 100 (0%)01000Total748630295 (46.8%)5541781623159 Microregion of Resplendor T. vitticeps 24119899 (50%)2053068612 P. diasi 76575 (8.8%)4332132 P. megistus 984 (50%)81040Total326263108 (41.1%)2566379314 Microregion of Peçanha P. megistus 22919067 (35.3%)1418264817 T. vitticeps 736816 (23.5%)34390133 P. diasi 18145 (35.7%)143131Total32027288 (32.4%)18912476421 Microregion of Mantena T. vitticeps 695821 (36.2%)6441210 P. diasi 23161 (6.3%)149010 P. megistus 432 (66.7%)40020Total967724 (31.2%)82131240 1,490 1,242 515 (41.5%) 1,081 378 31 412 94 Intra: Intradomicile. Peri: Peridomicile. NI: Not identified. Intra: Intradomicile. Peri: Peridomicile. NI: Not identified. DISCUSSION: The capture of insects by the general population reflects the residents’ ability to recognize triatomines capable of transmitting T. cruzi, as observed by Vilella et al. 7 for other regions of Minas Gerais. Between 2014 and 2019, municipalities under the jurisdiction of RHS/GV distinguished triatomines from other insects in 88.2% of the specimens; thus, revealing that residents of the household units in this region are aware of CD vectors. Of the insects notified, 11.8% were phytophages or predators. This also reinforces the need for constant awareness among the population regarding the identification of triatomines, as it is the key to the occurrence of infestation notification. There was a predominance of adult capture (97.5%), revealing the capacity of these vectors to invade houses possibly attracted by light sources 8 , 9 . This is a frequent finding in areas under entomological surveillance 7 . Nymphs are mostly captured when trained personnel perform an active search. It is important to emphasize that the presence of nymphs indicates colonization of the species, either in the household or peridomicile 10 . Detecting nymphs in the household also demonstrates their adaptation to the environment, which may increase contact between the insect and residents. Captures in the study area were predominantly intradomicile (72.5%), resembling the capture profiles in the macroregions of Minas Gerais of Diamantina 11 and Divinópolis 12 and of the Espírito Santo state 13 . In the Itanhomi municipality-located in the Rio Doce Valley and part of the health region assessed in this study-Souza et al. 14 demonstrated an intense movement of triatomines among the wild, peridomiciliary, and domestic environments, showing high rates of natural infection. Of the triatomines reported, 83.4% were examined for T. cruzi infection, reinforcing considerable conservation of the triatomines sent for examination. This high percentage of captured and examined insects reflects the timely execution of control actions, aiding the identification and analysis of almost all insects captured by the residents. High rates of natural infection by T. cruzi have also been reported in regions with similar landscapes, such as Espírito Santo 13 and Rio de Janeiro 15 , 16 . In contrast, the rates varied between 1.3% and 8.3% in the Midwest region of Minas Gerais 7 , 12 . High rates of triatomine infection increase the chances of vector transmission in cases of vector-human contact; therefore, surveillance should be reinforced so that subsequent cases can be identified immediately and referred for diagnosis and treatment. The triatomines identified were T. vitticeps, P. megistus, P. diasi, R. neglectus, and P. geniculatus, with the first three being predominant. This is the first study reporting the occurrence of P. diasi, R. neglectus, and P. geniculatus in the studied region. T. vitticeps was most commonly captured by residents in the urban area of Diamantina, Minas Gerais 11 , and the Espírito Santo state 13 ; areas neighboring the macroregion of Governador Valadares. In this study, we found a natural infection rate of 49.2% for T. vitticeps, lower than that found in the Itanhomi municipality 14 and states of Espírito Santo 13 and Rio de Janeiro 15 , 16 . Our findings demonstrate the continuity of T.vitticeps occurrence between these regions. P. megistus is widely distributed in Brazil, from the northeast to the south 8 . In Minas Gerais, this species also has a wide dispersal area and is considered the most important triatomine in this state 17 . In the health macroregion of Governador Valadares, P. megistus was the second most common species, accounting for 18.9% of specimens, with a T. cruzi infection rate of 37.8%. The predominance of intradomicile captures, consistent with the findings of the present study, was also reported in other studies, wherein captures were also performed by passive search 11 , 12 . Historical data in the past indicate that the region studied had a considerable rate of natural infection by T. cruzi among vector species 18 . Other Minas Gerais and São Paulo state regions have lower natural infection rates for P. megistus 19 , 20 . The third most reported species was P. diasi, which differs from other regions of Minas Gerais, such as Triângulo Mineiro and Alto Parnaíba. Here, triatomines of this species represent 0.8% of the specimens with none of them being infected 20 . In the Midwest region of Minas Gerais, P. diasi representation was even lower 7 , as in Uberlândia, Minas Gerais. The high number of P. diasi captured intradomicile, with a natural infection rate of 9.6%, makes this study region notable because of this species in the state. For R. neglectus, despite the small sample size of 11 insects, the infection of 5 specimens was relevant. Silveira et al. 3 reported the capture of said species in the Control Program of Chagas Disease in 1975-1983 in 103 municipalities of Minas Gerais state, which did not include the municipalities studied. In the present study, R. neglectus was exclusively captured in the Governador Valadares municipality while P. geniculatus was only captured in the Itanhomi municipality. Other regions of Minas Gerais have a wide dispersion of this species, but with a low frequency 20 . Considering the monthly frequency of capture, a predominance of triatomines was observed in the second semester, especially between September and November. Therefore, the triatomine species found in the region east of Minas Gerais were captured predominantly between spring and summer. Triatomine capture occurred at least once between 2014 and 2019, with an average of 39 municipalities annually. The participation of municipalities in notifying insects for control actions is frequent, demonstrating good adherence to entomological monitoring. The spatial distribution revealed a wide dispersion of T. vitticeps, P. megistus, and P. diasi, with specimens infected by T. cruzi in all species. The data presented here show the predominance of T. vitticeps in the microregions bordering the state of Espírito Santo, where this species is also predominant 13 . P. megistus is the predominant species in the microregion of Peçanha, which borders municipalities belonging to the health macroregion of Diamantina, where P. megistus is predominantly captured 21 . This geographical proximity between municipalities and similar environmental features favor the proliferation of certain species to the detriment of others. Considering the number of specimens captured and triatomines infected, the municipalities of Conselheiro Pena, Tarumirim, Governador Valadares, Sobrália, Capitão Andrade, José Raydan, and Itanhomi were noteworthy. Of these municipalities, 5 belong to the microregion of Governador Valadares, making this the area with the most significant capture and highest average natural infection rate (46.8%); that is, a region that demands greater attention in the execution of its activities, considering the risk of vectorial transmission of T. cruzi. In conclusion, the data presented here demonstrate the diversity of triatomine species, a constant presence invading the intradomicile environment, and a considerable rate of infection by T. cruzi in the municipalities studied. Therefore, actions must be taken to improve entomological surveillance as well as strengthen and enhance active and participative surveillance.
Background: After decentralizing the actions of the Chagas Disease Control Program (CDCP) in Brazil, municipalities were now responsible for control measures against this endemic, supervised by the Regional Health Superintendencies (RHS). We aimed to evaluate the recent entomological surveillance of Chagas disease in the Regional Health Superintendence of Governador Valadares (RHS/GV) from 2014 to 2019. Methods: Triatomines captured by residents during entomological surveillance were sent to the reference laboratory, where the species and evolutionary stages were identified, place of capture, and presence of Trypanosoma cruzi. A database was created, and the following were calculated: the rate of infection by T. cruzi (overall rate and rate by species), monthly seasonality, spatial distribution of species, number of captures, and infected triatomines/health microregions. Results: We identified 1,708 insects; 1,506 (88.2%) were triatomines, most were adult instars (n=1,469), and few were nymphs (n=37). The identified species were Triatoma vitticeps, Panstrongylus megistus, Panstrongylus diasi, Rhodnius neglectus, and Panstrongylus geniculatus. The first three were most frequently captured and distributed throughout the study area. Most bugs were captured intradomicile (72.5%), mainly in the second semester, between September and November, with an average infection rate of 41.5% (predominantly T. vitticeps, 49.2%). All municipalities sent triatomines, especially in the microregions of Governador Valadares. Conclusions: These data reinforce the need and importance of improving Chagas disease control measures in the region to establish active and participatory entomological surveillance.
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3,203
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4
[ "municipalities", "triatomines", "captured", "infection", "species", "cruzi", "infected", "megistus", "governador", "microregion" ]
[ "people infected trypanosoma", "importance triatoma infestans", "trypanosoma cruzi natural", "cruzi infected triatomines", "infestation households triatomines" ]
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[CONTENT] Triatomine | Vector control | Trypanosoma cruzi | T. vitticeps | Entomological surveillance [SUMMARY]
[CONTENT] Triatomine | Vector control | Trypanosoma cruzi | T. vitticeps | Entomological surveillance [SUMMARY]
[CONTENT] Triatomine | Vector control | Trypanosoma cruzi | T. vitticeps | Entomological surveillance [SUMMARY]
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[CONTENT] Triatomine | Vector control | Trypanosoma cruzi | T. vitticeps | Entomological surveillance [SUMMARY]
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[CONTENT] Animals | Brazil | Chagas Disease | Humans | Insect Vectors | Panstrongylus | Triatoma | Trypanosoma cruzi [SUMMARY]
[CONTENT] Animals | Brazil | Chagas Disease | Humans | Insect Vectors | Panstrongylus | Triatoma | Trypanosoma cruzi [SUMMARY]
[CONTENT] Animals | Brazil | Chagas Disease | Humans | Insect Vectors | Panstrongylus | Triatoma | Trypanosoma cruzi [SUMMARY]
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[CONTENT] Animals | Brazil | Chagas Disease | Humans | Insect Vectors | Panstrongylus | Triatoma | Trypanosoma cruzi [SUMMARY]
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[CONTENT] people infected trypanosoma | importance triatoma infestans | trypanosoma cruzi natural | cruzi infected triatomines | infestation households triatomines [SUMMARY]
[CONTENT] people infected trypanosoma | importance triatoma infestans | trypanosoma cruzi natural | cruzi infected triatomines | infestation households triatomines [SUMMARY]
[CONTENT] people infected trypanosoma | importance triatoma infestans | trypanosoma cruzi natural | cruzi infected triatomines | infestation households triatomines [SUMMARY]
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[CONTENT] people infected trypanosoma | importance triatoma infestans | trypanosoma cruzi natural | cruzi infected triatomines | infestation households triatomines [SUMMARY]
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[CONTENT] municipalities | triatomines | captured | infection | species | cruzi | infected | megistus | governador | microregion [SUMMARY]
[CONTENT] municipalities | triatomines | captured | infection | species | cruzi | infected | megistus | governador | microregion [SUMMARY]
[CONTENT] municipalities | triatomines | captured | infection | species | cruzi | infected | megistus | governador | microregion [SUMMARY]
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[CONTENT] municipalities | triatomines | captured | infection | species | cruzi | infected | megistus | governador | microregion [SUMMARY]
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[CONTENT] priority | prevalence | transmission | occurrence | areas | surveys | survey | gerais | minas gerais | minas [SUMMARY]
[CONTENT] determined | triatomines | research | number | rhs gv | governador | governador valadares | valadares | gv | regional [SUMMARY]
[CONTENT] captured | table | microregion | vitticeps | municipalities | são | diasi | infected | specimens | governador [SUMMARY]
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[CONTENT] triatomines | municipalities | captured | infection | gerais | minas gerais | minas | governador | species | governador valadares [SUMMARY]
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[CONTENT] the Chagas Disease Control Program | Brazil | the Regional Health Superintendencies | RHS ||| Chagas | the Regional Health Superintendence of Governador Valadares | RHS | 2014 to 2019 [SUMMARY]
[CONTENT] Trypanosoma ||| T. cruzi | monthly [SUMMARY]
[CONTENT] 1,708 | 1,506 | 88.2% ||| Triatoma | Rhodnius | Panstrongylus ||| first | three ||| 72.5% | second | between September and November | 41.5% | T. | 49.2% ||| Governador Valadares [SUMMARY]
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[CONTENT] the Chagas Disease Control Program | Brazil | the Regional Health Superintendencies | RHS ||| Chagas | the Regional Health Superintendence of Governador Valadares | RHS | 2014 to 2019 ||| Trypanosoma ||| T. cruzi | monthly ||| ||| 1,708 | 1,506 | 88.2% ||| Triatoma | Rhodnius | Panstrongylus ||| first | three ||| 72.5% | second | between September and November | 41.5% | T. | 49.2% ||| Governador Valadares ||| Chagas [SUMMARY]
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Corticosteroid use and risk of orofacial clefts.
24777675
Maternal use of corticosteroids during early pregnancy has been inconsistently associated with orofacial clefts in the offspring. A previous report from the National Birth Defect Prevention Study (NBDPS), using data from 1997 to 2002, found an association with cleft lip and palate (odds ratio, 1.7; 95% confidence interval [CI], 1.1-2.6), but not cleft palate only (odds ratio, 0.5, 95%CI, 0.2-1.3). From 2003 to 2009, the study population more than doubled in size, and our objective was to assess this association in the more recent data.
BACKGROUND
The NBDPS is an ongoing multi-state population-based case-control study of birth defects, with ascertainment of cases and controls born since 1997. We assessed the association of corticosteroids and orofacial clefts using data from 2372 cleft cases and 5922 controls born from 2003 to 2009. Maternal corticosteroid exposure was based on telephone interviews.
METHODS
The overall association of corticosteroids and cleft lip and palate in the new data was 1.0 (95% CI, 0.7-1.4). There was little evidence of associations between specific corticosteroid components or timing and clefts.
RESULTS
In contrast to the 1997 to 2002 data from the NBDPS, the 2003 to 2009 data show no association between maternal corticosteroid use and cleft lip and palate in the offspring.
CONCLUSION
[ "Adrenal Cortex Hormones", "Black People", "Case-Control Studies", "Cleft Lip", "Cleft Palate", "Female", "Hispanic or Latino", "Humans", "Infant, Newborn", "Maternal Exposure", "Odds Ratio", "Pregnancy", "Risk Factors", "Surveys and Questionnaires", "United States", "White People" ]
4283705
Introduction
Orofacial clefts are one of the most common birth defects in humans, with a world birth prevalence of 1.7 per 1000 live births (Mossey et al., 2009). Orofacial clefts occur when the fusion of the lip and/or palate, which takes place during the first-trimester of pregnancy, is disrupted (Dixon et al., 2011). Corticosteroids are well-established as an experimental teratogen in animal models, causing cleft palate in mice (Fraser and Fainstat, 1951; Walker and Fraser, 1957). Several epidemiological studies have reported an association between corticosteroid use in early pregnancy in humans and delivering an infant with an orofacial cleft (Czeizel and Rockenbauer, 1997; Rodríguez-Pinilla and Luisa Martínez-Frías, 1998; Carmichael and Shaw, 1999; Edwards et al., 2003; Pradat et al., 2003; Carmichael et al., 2007), although others have not (Kallen et al., 1999; Källén, 2003; Hviid and Mølgaard-Nielsen, 2011). The anti-inflammatory and immune modulating functions of corticosteroids are effective in the treatment of conditions such as asthma, allergic reactions, eczema, psoriasis, rheumatoid arthritis, and inflammatory bowel disease. These conditions are common and often affect women of reproductive age; however, the safety of corticosteroid medication during pregnancy is uncertain. We previously reported that maternal corticosteroid use was associated with increased risk of cleft lip with or without palate (CLP) (odds ratio [OR], 1.7; 95% confidence interval [CI], 1.1–2.6) but not cleft palate only (CPO) (OR, 0.5; 95%CI, 0.2–1.3), using data from the National Birth Defects Prevention Study (NBDPS) investigating deliveries from October 1997 through December 2002, including mothers of 1141 infants with CLP, 628 infants with CPO and 4143 controls (Carmichael et al., 2007). Since then, the study population has more than doubled in size, allowing the largest study of corticosteroids and clefts to date. Given continued uncertainty about the association between orofacial clefts and corticosteroid medications and the tentative findings from our earlier analyses, our objective here was to assess the association using larger and more recent NBDPS data.
null
null
Results
From 2003 to 2009, the NBDPS enrolled mothers of 1577 children with CLP, 795 children with CPO, and 5922 control children. Demographic characteristics are outlined in Table 2004. A total of 89% of the CLP cases (n = 1402) and 79% of CPO cases (n = 631) were isolated. Any use of corticosteroids four weeks prior through 12 weeks after conception was reported by mothers of 35 (2.3%) infants with CLP (OR, 1.0; 95% CI, 0.7–1.4) and mothers of 13 (1.7%) infants with CPO (OR, 0.7; 95% CI, 0.4–1.2), and by mothers of 137 (2.4%) control infants (Table 1999). There was no association by route of administration (systemic, nasal/inhaled, topical or other use) or specific components of corticosteroids (Prednisone, Beclomethasone, Budesonide, Fluticasone, Triamcinolone). Furthermore, we did not find associations at more specific time windows of exposure (Table 2007). Characteristics of mothers of 1577 infants with cleft lip with or without cleft palate (CLP), 795 infants with cleft palate only (CPO), and 5922 nonmalformed control infants NBDPS deliveries 2003–2009. Percentages may not add to 100% because of rounding. During the month before and first 3 months of pregnancy. Association of Risk of Cleft Lip and Palate (CLP) and Cleft Palate Only (CPO) among Offspring Born to Women Who Used Maternal Corticosteroid Medications from 4 Weeks before through 12 Weeks after Conception, by Route of Administration and Component Corticosteroid NBDPS deliveries 2003 to 2009*. Reference groups for the comparisons for the two time intervals included: 2003-09: 1542 CLP cases, 782 CPO cases, and 5785 controls with no exposure from 4 weeks before through 12 weeks after conception; 1997–2009: 2662 CLP cases, 1410 CP cases, and 9849 controls with no exposure from 4 weeks before through 12 weeks after conception. Odds ratios were estimated only if there were at least two exposed cases and two exposed controls. Association of Risk of Cleft Lip and Palate (CLP) among Offspring Born to Women Who Used Corticosteroids, by Timing of Exposure NBDPS Deliveries 2003–2009. Reference groups for the comparisons for the two time intervals included: 2003-09: 1542 CLP cases, 782 CPO cases, and 5785 controls with no exposure from 4 weeks before through 12 weeks after conception; 1997–2009: 2662 CLP cases, 1410 CP cases, and 9849 controls with no exposure from 4 weeks before through 12 weeks after conception. Odds ratios were estimated only if there were at least two exposed cases and two exposed controls. By combining the earlier data with more recent data, the total cohort included mothers of 2731 infants with CLP, 1429 infants with CPO, and 10063 controls, delivered from October 1997 through December 2009. Mothers of 69 (2.6%) infants with CLP (OR 1.2 95% CI, 0.9–1.6), 19 (1.3%) infants with CPO (OR 0.6, 95% CI, 0.4–1.0) and 214 (2.1%) controls reported using any corticosteroids from 4 weeks before 12 weeks after gestation (Table 1999). We did not find an association by route of administration or component of corticosteroid in the combined data, with the possible exception of prednisone (OR, 1.9; 95% CI, 1.0–3.7) (Table 1999). Results by time window of exposure were inconsistent (Table 2007). For CLP, odds ratios ranged from 2.8 (95% CI, 1.3–5.9) for exposures only during week 1 to 4 and 5 to 8 after conception to 0.5 (95% CI, 0.1–1.6) for exposures during weeks 9 to 12. For analyses of any corticosteroid use we adjusted for maternal race-ethnicity (Non-Hispanic white, Non-Hispanic black, Hispanic, Other, and unknown), education (<High school graduation, High school graduation, 1–3 years of college, ≥ 4years of college and unknown), intake of folic acid (any, none, and unknown), smoking (any [active], none, unknown), and study center (Arkansas, California, Georgia, Iowa, Massachusetts, New Jersey, New York, North Carolina, Texas, and Utah), and we excluded nonisolated cases in the pooled data. We conducted additional analyses restricting to states that participated in the study for the whole time period (Arkansas, California, Georgia, Iowa, Massachusetts, New York, and Texas). These modifications did not appreciably change our estimates. Length of time to interview was slightly shorter for mothers reporting corticosteroid use. This was true for both cases (mean time 9.2 months for mothers reporting corticosteroid use and 10.5 for no use) and controls (mean time 8.2 months for mothers reporting corticosteroid use and 9.1 for no use). The main results from the two time periods (1997–2002 vs. 2003–2009) are illustrated in Figure 1. Association of risk of cleft lip and palate (CLP) among offspring born to women who used maternal corticosteroid medications from 4 weeks before through 12 weeks after conception, comparing NBDPS deliveries 1997 to 2002 versus 2003 to 2009. Results are presented in a logarithmic scale.
Conclusion
Maternal use of corticosteroids is not associated with delivering an infant with an orofacial cleft in the NBDPS. This analysis is consistent with recent results from large population-based studies (Källén, 2003; Hviid and Mølgaard-Nielsen, 2011; Skuladottir et al., 2013). These data help to inform the clinical risk-benefit decision for use of corticosteroids during the first trimester of pregnancy.
[ "Introduction", "Conclusion" ]
[ "Orofacial clefts are one of the most common birth defects in humans, with a world birth prevalence of 1.7 per 1000 live births (Mossey et al., 2009). Orofacial clefts occur when the fusion of the lip and/or palate, which takes place during the first-trimester of pregnancy, is disrupted (Dixon et al., 2011). Corticosteroids are well-established as an experimental teratogen in animal models, causing cleft palate in mice (Fraser and Fainstat, 1951; Walker and Fraser, 1957). Several epidemiological studies have reported an association between corticosteroid use in early pregnancy in humans and delivering an infant with an orofacial cleft (Czeizel and Rockenbauer, 1997; Rodríguez-Pinilla and Luisa Martínez-Frías, 1998; Carmichael and Shaw, 1999; Edwards et al., 2003; Pradat et al., 2003; Carmichael et al., 2007), although others have not (Kallen et al., 1999; Källén, 2003; Hviid and Mølgaard-Nielsen, 2011).\nThe anti-inflammatory and immune modulating functions of corticosteroids are effective in the treatment of conditions such as asthma, allergic reactions, eczema, psoriasis, rheumatoid arthritis, and inflammatory bowel disease. These conditions are common and often affect women of reproductive age; however, the safety of corticosteroid medication during pregnancy is uncertain.\nWe previously reported that maternal corticosteroid use was associated with increased risk of cleft lip with or without palate (CLP) (odds ratio [OR], 1.7; 95% confidence interval [CI], 1.1–2.6) but not cleft palate only (CPO) (OR, 0.5; 95%CI, 0.2–1.3), using data from the National Birth Defects Prevention Study (NBDPS) investigating deliveries from October 1997 through December 2002, including mothers of 1141 infants with CLP, 628 infants with CPO and 4143 controls (Carmichael et al., 2007). Since then, the study population has more than doubled in size, allowing the largest study of corticosteroids and clefts to date. Given continued uncertainty about the association between orofacial clefts and corticosteroid medications and the tentative findings from our earlier analyses, our objective here was to assess the association using larger and more recent NBDPS data.", "Maternal use of corticosteroids is not associated with delivering an infant with an orofacial cleft in the NBDPS. This analysis is consistent with recent results from large population-based studies (Källén, 2003; Hviid and Mølgaard-Nielsen, 2011; Skuladottir et al., 2013). These data help to inform the clinical risk-benefit decision for use of corticosteroids during the first trimester of pregnancy." ]
[ null, null ]
[ "Introduction", "Materials and Methods", "Results", "Discussion", "Conclusion" ]
[ "Orofacial clefts are one of the most common birth defects in humans, with a world birth prevalence of 1.7 per 1000 live births (Mossey et al., 2009). Orofacial clefts occur when the fusion of the lip and/or palate, which takes place during the first-trimester of pregnancy, is disrupted (Dixon et al., 2011). Corticosteroids are well-established as an experimental teratogen in animal models, causing cleft palate in mice (Fraser and Fainstat, 1951; Walker and Fraser, 1957). Several epidemiological studies have reported an association between corticosteroid use in early pregnancy in humans and delivering an infant with an orofacial cleft (Czeizel and Rockenbauer, 1997; Rodríguez-Pinilla and Luisa Martínez-Frías, 1998; Carmichael and Shaw, 1999; Edwards et al., 2003; Pradat et al., 2003; Carmichael et al., 2007), although others have not (Kallen et al., 1999; Källén, 2003; Hviid and Mølgaard-Nielsen, 2011).\nThe anti-inflammatory and immune modulating functions of corticosteroids are effective in the treatment of conditions such as asthma, allergic reactions, eczema, psoriasis, rheumatoid arthritis, and inflammatory bowel disease. These conditions are common and often affect women of reproductive age; however, the safety of corticosteroid medication during pregnancy is uncertain.\nWe previously reported that maternal corticosteroid use was associated with increased risk of cleft lip with or without palate (CLP) (odds ratio [OR], 1.7; 95% confidence interval [CI], 1.1–2.6) but not cleft palate only (CPO) (OR, 0.5; 95%CI, 0.2–1.3), using data from the National Birth Defects Prevention Study (NBDPS) investigating deliveries from October 1997 through December 2002, including mothers of 1141 infants with CLP, 628 infants with CPO and 4143 controls (Carmichael et al., 2007). Since then, the study population has more than doubled in size, allowing the largest study of corticosteroids and clefts to date. Given continued uncertainty about the association between orofacial clefts and corticosteroid medications and the tentative findings from our earlier analyses, our objective here was to assess the association using larger and more recent NBDPS data.", "We used data from the NBDPS, a population-based, multi-center case–control study of birth defects. Information on deliveries taking place from October 1997 through December 2009 was collected from the 10 NBDPS study centers (Arkansas, California, Georgia, Iowa, Massachusetts, New Jersey, New York, North Carolina, Texas, and Utah), although not all study sites contributed for all the study years. The study was approved by institutional review boards of the participating centers and the Centers for Disease Control and Prevention. More details on study methods and its surveillance systems can be found elsewhere (Yoon et al., 2001; Rasmussen et al., 2003).\nInfants or fetuses with CLP or CPO were considered cases and analyzed separately. Case status was ascertained either through clinical or surgical records or autopsy reports. Medical records for all cases were assessed by a clinical geneticist who ensured that they fulfilled the eligibility criteria. Cases were ineligible if their clefts were believed to result from another defect (e.g., holoprosencephaly) or had a recognized or strongly suspected single-gene disorder or chromosomal abnormality. Cases were considered isolated if there were no accompanying major unrelated birth defects or as nonisolated if more than one additional major unrelated defect was present. Controls (live born infants, without birth defects) were randomly selected from hospital birth records or birth certificates at each study center.\nMothers were interviewed 6 weeks to 24 months after estimated date of delivery, using computer-assisted telephone interviews in English or Spanish; median time between estimated date of delivery and interview was 9.0 months for case mothers (interquartile range 8.0 months) and 8.0 months for controls (interquartile range 7.0 months). Overall participation from 1997 to 2009 was 72% for eligible mothers of infants with clefts and 65% for control mothers (participation in the two time periods declined from 76% to 67% for eligible mothers of infants with clefts and 68% to 61% for control mothers, with an overall decline from 70% to 63%).\nIn the questionnaires the mothers were asked whether they had specific medical conditions before or during pregnancy and then what medications they used to treat them. Mothers were also asked to list any other medication they had used that was not captured in response to the specific questions; indication was not reported for responses to this question. Mothers were asked for duration and frequency of use for each medication used from 12 weeks before conception to delivery. Medications were coded according to the Slone Epidemiology Center Drug Dictionary. We focused on periconceptional corticosteroid use by any administration route and component (systemic, nasal/inhaled and topical), defined as use that occurred between 4 weeks before through 12 weeks after conception.\nWe investigated the association between any corticosteroid use during the periconceptional period compared with no use. We also explored whether there was an association with specific timing of exposure, mode of administration, or corticosteroid component. Logistic regression models in SAS software were used to estimate ORs and their corresponding 95% CIs. ORs were only calculated if there were two or more exposed cases and two or more exposed controls. We also examined associations after adjustment for several covariates (maternal race-ethnicity, education, intake of folic acid-containing supplements, smoking, and study center) and after exclusion of nonisolated cases. We present results for deliveries from January 2003 through December 2009, and for pooled data for deliveries from October 1997 through December 2009.", "From 2003 to 2009, the NBDPS enrolled mothers of 1577 children with CLP, 795 children with CPO, and 5922 control children. Demographic characteristics are outlined in Table 2004. A total of 89% of the CLP cases (n = 1402) and 79% of CPO cases (n = 631) were isolated. Any use of corticosteroids four weeks prior through 12 weeks after conception was reported by mothers of 35 (2.3%) infants with CLP (OR, 1.0; 95% CI, 0.7–1.4) and mothers of 13 (1.7%) infants with CPO (OR, 0.7; 95% CI, 0.4–1.2), and by mothers of 137 (2.4%) control infants (Table 1999). There was no association by route of administration (systemic, nasal/inhaled, topical or other use) or specific components of corticosteroids (Prednisone, Beclomethasone, Budesonide, Fluticasone, Triamcinolone). Furthermore, we did not find associations at more specific time windows of exposure (Table 2007).\nCharacteristics of mothers of 1577 infants with cleft lip with or without cleft palate (CLP), 795 infants with cleft palate only (CPO), and 5922 nonmalformed control infants\nNBDPS deliveries 2003–2009.\nPercentages may not add to 100% because of rounding.\nDuring the month before and first 3 months of pregnancy.\nAssociation of Risk of Cleft Lip and Palate (CLP) and Cleft Palate Only (CPO) among Offspring Born to Women Who Used Maternal Corticosteroid Medications from 4 Weeks before through 12 Weeks after Conception, by Route of Administration and Component Corticosteroid\nNBDPS deliveries 2003 to 2009*.\nReference groups for the comparisons for the two time intervals included: 2003-09: 1542 CLP cases, 782 CPO cases, and 5785 controls with no exposure from 4 weeks before through 12 weeks after conception; 1997–2009: 2662 CLP cases, 1410 CP cases, and 9849 controls with no exposure from 4 weeks before through 12 weeks after conception. Odds ratios were estimated only if there were at least two exposed cases and two exposed controls.\nAssociation of Risk of Cleft Lip and Palate (CLP) among Offspring Born to Women Who Used Corticosteroids, by Timing of Exposure\nNBDPS Deliveries 2003–2009.\nReference groups for the comparisons for the two time intervals included: 2003-09: 1542 CLP cases, 782 CPO cases, and 5785 controls with no exposure from 4 weeks before through 12 weeks after conception; 1997–2009: 2662 CLP cases, 1410 CP cases, and 9849 controls with no exposure from 4 weeks before through 12 weeks after conception. Odds ratios were estimated only if there were at least two exposed cases and two exposed controls.\nBy combining the earlier data with more recent data, the total cohort included mothers of 2731 infants with CLP, 1429 infants with CPO, and 10063 controls, delivered from October 1997 through December 2009. Mothers of 69 (2.6%) infants with CLP (OR 1.2 95% CI, 0.9–1.6), 19 (1.3%) infants with CPO (OR 0.6, 95% CI, 0.4–1.0) and 214 (2.1%) controls reported using any corticosteroids from 4 weeks before 12 weeks after gestation (Table 1999). We did not find an association by route of administration or component of corticosteroid in the combined data, with the possible exception of prednisone (OR, 1.9; 95% CI, 1.0–3.7) (Table 1999). Results by time window of exposure were inconsistent (Table 2007). For CLP, odds ratios ranged from 2.8 (95% CI, 1.3–5.9) for exposures only during week 1 to 4 and 5 to 8 after conception to 0.5 (95% CI, 0.1–1.6) for exposures during weeks 9 to 12.\nFor analyses of any corticosteroid use we adjusted for maternal race-ethnicity (Non-Hispanic white, Non-Hispanic black, Hispanic, Other, and unknown), education (<High school graduation, High school graduation, 1–3 years of college, ≥ 4years of college and unknown), intake of folic acid (any, none, and unknown), smoking (any [active], none, unknown), and study center (Arkansas, California, Georgia, Iowa, Massachusetts, New Jersey, New York, North Carolina, Texas, and Utah), and we excluded nonisolated cases in the pooled data. We conducted additional analyses restricting to states that participated in the study for the whole time period (Arkansas, California, Georgia, Iowa, Massachusetts, New York, and Texas). These modifications did not appreciably change our estimates. Length of time to interview was slightly shorter for mothers reporting corticosteroid use. This was true for both cases (mean time 9.2 months for mothers reporting corticosteroid use and 10.5 for no use) and controls (mean time 8.2 months for mothers reporting corticosteroid use and 9.1 for no use).\nThe main results from the two time periods (1997–2002 vs. 2003–2009) are illustrated in Figure 1.\nAssociation of risk of cleft lip and palate (CLP) among offspring born to women who used maternal corticosteroid medications from 4 weeks before through 12 weeks after conception, comparing NBDPS deliveries 1997 to 2002 versus 2003 to 2009. Results are presented in a logarithmic scale.", "Recent data from the NBDPS provided no support for an association between maternal corticosteroid use during early pregnancy and delivering an infant with an orofacial cleft. This is in contrast to results from the first 6 years of the NBDPS, for which there was an association with CLP but not CPO (Carmichael et al., 2007). The component of corticosteroid most strongly associated with delivering an infant with CLP in the data from 1997 to 2002 was systemic prednisone; OR 2.7 (95% CI 1.1–6.7). This association was much weaker in the data from 2003 to 2009; OR 1.4 (95% CI 0.6–3.6).\nWhen comparing corticosteroid use between the early and more recent data (1997–2002 vs. 2003–2009) there was increased use among controls (1.7–2.4%) and CPO cases (1.0–1.7%), however, there was a decrease among CLP cases (2.9 to 2.3%). This resulted in weaker associations with CLP in the more recent data. We are not aware of any significant changes in the study protocol, case ascertainment, or recruitment of cases or controls that could explain these differences. Given the small numbers, it is not possible to determine whether the frequency of reported use represents a trend or lies within the range of normal variation. We therefore suggest that our best estimates of the association of corticosteroids and orofacial clefts in the NBDPS data are those derived from the pooled data. Participation rates declined over the two time periods, from 70% to 63% overall. While this decline is substantial, participation is still in a range usually regarded as acceptable for observational studies.\nThe strongest association by component observed in the pooled data was for CLP and prednisone (OR, 1.9; 95% CI, 1.0–3.7). The number of control mothers reporting use of prednisone was stable at 0.3% during both time periods (1997–2002 and 2003–2009), while the proportion of case mothers (CLP) reporting prednisone went down from 0.7% to 0.4%. Given the substantial difference between the association in the earlier and later data (ORs of 2.7 vs. 1.4), and its marginal statistical significance, we recommend interpreting this result with caution. This also applies to associations between corticosteroid exposures by specific time period, because they were so variable. The strongest finding was for exposures during week 1 to 4 and 5 to 8 after conception (OR, 2.8; 95% CI, 1.3, 5.9, for the pooled data). The OR in the early data was 7.3 (95% CI, 1.8–29.4) and in the later data 1.9 (95% CI, 0.7–5.0). Although we recommend interpreting these results with caution, an association by timing of exposure cannot be dismissed completely. For comparison, a large US study reported that 0.8% of women received first trimester prescriptions for systemic corticosteroids (Andrade et al., 2004), with actual medication use probably less than 100% (Olesen et al., 2001). Furthermore, the prevalence is similar to what has been found in the National Health and Nutrition Examination Study (NHANES) during the years 1999 to 2008, where 0.5% of women aged 20 to 29 years and 0.6% of women aged 30 to 39 years reported use of oral corticosteroids (Overman et al., 2013). The NHANES data also indicate a trend toward lower prevalence of oral corticosteroid use from 1999 to 2008.\nThe earliest report of corticosteroids causing clefts was a study in mice (Fraser and Fainstat, 1951). Since then, studies have shown that corticosteroids are involved in cellular processes that lead to fusion of the palatal shelves, which can be disrupted by altering physiological corticosteroid levels (Pratt and Salomon, 1980; Piddington et al., 1983; Ziejewski et al., 2012). Studies have shown that teratogenicity can vary across species (Nau, 1986). Such studies have involved systemic corticosteroids, at doses that are 15 to 150 times human doses; thus, their comparability to the human condition is uncertain.\nPrevious epidemiological studies on corticosteroid use during early pregnancy and the risk of delivering an infant with an orofacial cleft are outlined in Table 2013. Systemic corticosteroid use in early pregnancy has been associated with delivering an infant with CLP in some previous epidemiological studies in humans (Czeizel and Rockenbauer, 1997; Rodríguez-Pinilla and Luisa Martínez-Frías, 1998; Carmichael and Shaw, 1999; Pradat et al., 2003; Carmichael et al., 2007), one of which also reported an association with CPO (Carmichael and Shaw, 1999). Studies from Denmark, Norway, Sweden have found no association with systemic use in early pregnancy and orofacial clefts in the offspring, and a weak association with dermatological corticosteroids (Källén, 2003; Hviid and Mølgaard-Nielsen, 2011; Skuladottir et al., 2013). However, a recent population-based cohort study from the UK did not find an association between dermatological corticosteroids and clefts (Chi et al., 2013). In sum, the current literature is inconsistent regarding the association of first-trimester corticosteroid use and orofacial clefts in humans. The previous studies are limited by sample size, with number of cases (CLP and CPO combined) ranging from 8 to 1232.\nSummary of Previous Epidemiological Studies on Corticosteroid Use during Pregnancy and Risk of Orofacial Clefts\nThe NBDPS included 4072 pregnancies resulting in either CLP or CPO, with 23 (0.6%) mothers reporting systemic corticosteroid use, making it the largest study exploring this potential association to date. Other strengths include the population-based design and the detailed assessment on corticosteroid mode, specific component used and the detailed time windows of exposure. We lacked information on dose and indication, which were limitations. Other potential limitations include recall bias (mean time to interview was slightly shorter for the mothers who reported corticosteroid use than the mothers who did not report use) and selection bias (participation was 72% for case mothers and 65% for control mothers). In the NBDPS questionnaire, there is no specific question for dermatological disease or treatment, and dermatological medication is consequently underreported and estimates are therefore inaccurate. Under-reported use of other types of corticosteroids is also possible but difficult to determine.", "Maternal use of corticosteroids is not associated with delivering an infant with an orofacial cleft in the NBDPS. This analysis is consistent with recent results from large population-based studies (Källén, 2003; Hviid and Mølgaard-Nielsen, 2011; Skuladottir et al., 2013). These data help to inform the clinical risk-benefit decision for use of corticosteroids during the first trimester of pregnancy." ]
[ null, "materials|methods", "results", "discussion", null ]
[ "orofacial clefts", "cleft lip and palate", "corticosteroids", "birth defects", "pregnancy" ]
Introduction: Orofacial clefts are one of the most common birth defects in humans, with a world birth prevalence of 1.7 per 1000 live births (Mossey et al., 2009). Orofacial clefts occur when the fusion of the lip and/or palate, which takes place during the first-trimester of pregnancy, is disrupted (Dixon et al., 2011). Corticosteroids are well-established as an experimental teratogen in animal models, causing cleft palate in mice (Fraser and Fainstat, 1951; Walker and Fraser, 1957). Several epidemiological studies have reported an association between corticosteroid use in early pregnancy in humans and delivering an infant with an orofacial cleft (Czeizel and Rockenbauer, 1997; Rodríguez-Pinilla and Luisa Martínez-Frías, 1998; Carmichael and Shaw, 1999; Edwards et al., 2003; Pradat et al., 2003; Carmichael et al., 2007), although others have not (Kallen et al., 1999; Källén, 2003; Hviid and Mølgaard-Nielsen, 2011). The anti-inflammatory and immune modulating functions of corticosteroids are effective in the treatment of conditions such as asthma, allergic reactions, eczema, psoriasis, rheumatoid arthritis, and inflammatory bowel disease. These conditions are common and often affect women of reproductive age; however, the safety of corticosteroid medication during pregnancy is uncertain. We previously reported that maternal corticosteroid use was associated with increased risk of cleft lip with or without palate (CLP) (odds ratio [OR], 1.7; 95% confidence interval [CI], 1.1–2.6) but not cleft palate only (CPO) (OR, 0.5; 95%CI, 0.2–1.3), using data from the National Birth Defects Prevention Study (NBDPS) investigating deliveries from October 1997 through December 2002, including mothers of 1141 infants with CLP, 628 infants with CPO and 4143 controls (Carmichael et al., 2007). Since then, the study population has more than doubled in size, allowing the largest study of corticosteroids and clefts to date. Given continued uncertainty about the association between orofacial clefts and corticosteroid medications and the tentative findings from our earlier analyses, our objective here was to assess the association using larger and more recent NBDPS data. Materials and Methods: We used data from the NBDPS, a population-based, multi-center case–control study of birth defects. Information on deliveries taking place from October 1997 through December 2009 was collected from the 10 NBDPS study centers (Arkansas, California, Georgia, Iowa, Massachusetts, New Jersey, New York, North Carolina, Texas, and Utah), although not all study sites contributed for all the study years. The study was approved by institutional review boards of the participating centers and the Centers for Disease Control and Prevention. More details on study methods and its surveillance systems can be found elsewhere (Yoon et al., 2001; Rasmussen et al., 2003). Infants or fetuses with CLP or CPO were considered cases and analyzed separately. Case status was ascertained either through clinical or surgical records or autopsy reports. Medical records for all cases were assessed by a clinical geneticist who ensured that they fulfilled the eligibility criteria. Cases were ineligible if their clefts were believed to result from another defect (e.g., holoprosencephaly) or had a recognized or strongly suspected single-gene disorder or chromosomal abnormality. Cases were considered isolated if there were no accompanying major unrelated birth defects or as nonisolated if more than one additional major unrelated defect was present. Controls (live born infants, without birth defects) were randomly selected from hospital birth records or birth certificates at each study center. Mothers were interviewed 6 weeks to 24 months after estimated date of delivery, using computer-assisted telephone interviews in English or Spanish; median time between estimated date of delivery and interview was 9.0 months for case mothers (interquartile range 8.0 months) and 8.0 months for controls (interquartile range 7.0 months). Overall participation from 1997 to 2009 was 72% for eligible mothers of infants with clefts and 65% for control mothers (participation in the two time periods declined from 76% to 67% for eligible mothers of infants with clefts and 68% to 61% for control mothers, with an overall decline from 70% to 63%). In the questionnaires the mothers were asked whether they had specific medical conditions before or during pregnancy and then what medications they used to treat them. Mothers were also asked to list any other medication they had used that was not captured in response to the specific questions; indication was not reported for responses to this question. Mothers were asked for duration and frequency of use for each medication used from 12 weeks before conception to delivery. Medications were coded according to the Slone Epidemiology Center Drug Dictionary. We focused on periconceptional corticosteroid use by any administration route and component (systemic, nasal/inhaled and topical), defined as use that occurred between 4 weeks before through 12 weeks after conception. We investigated the association between any corticosteroid use during the periconceptional period compared with no use. We also explored whether there was an association with specific timing of exposure, mode of administration, or corticosteroid component. Logistic regression models in SAS software were used to estimate ORs and their corresponding 95% CIs. ORs were only calculated if there were two or more exposed cases and two or more exposed controls. We also examined associations after adjustment for several covariates (maternal race-ethnicity, education, intake of folic acid-containing supplements, smoking, and study center) and after exclusion of nonisolated cases. We present results for deliveries from January 2003 through December 2009, and for pooled data for deliveries from October 1997 through December 2009. Results: From 2003 to 2009, the NBDPS enrolled mothers of 1577 children with CLP, 795 children with CPO, and 5922 control children. Demographic characteristics are outlined in Table 2004. A total of 89% of the CLP cases (n = 1402) and 79% of CPO cases (n = 631) were isolated. Any use of corticosteroids four weeks prior through 12 weeks after conception was reported by mothers of 35 (2.3%) infants with CLP (OR, 1.0; 95% CI, 0.7–1.4) and mothers of 13 (1.7%) infants with CPO (OR, 0.7; 95% CI, 0.4–1.2), and by mothers of 137 (2.4%) control infants (Table 1999). There was no association by route of administration (systemic, nasal/inhaled, topical or other use) or specific components of corticosteroids (Prednisone, Beclomethasone, Budesonide, Fluticasone, Triamcinolone). Furthermore, we did not find associations at more specific time windows of exposure (Table 2007). Characteristics of mothers of 1577 infants with cleft lip with or without cleft palate (CLP), 795 infants with cleft palate only (CPO), and 5922 nonmalformed control infants NBDPS deliveries 2003–2009. Percentages may not add to 100% because of rounding. During the month before and first 3 months of pregnancy. Association of Risk of Cleft Lip and Palate (CLP) and Cleft Palate Only (CPO) among Offspring Born to Women Who Used Maternal Corticosteroid Medications from 4 Weeks before through 12 Weeks after Conception, by Route of Administration and Component Corticosteroid NBDPS deliveries 2003 to 2009*. Reference groups for the comparisons for the two time intervals included: 2003-09: 1542 CLP cases, 782 CPO cases, and 5785 controls with no exposure from 4 weeks before through 12 weeks after conception; 1997–2009: 2662 CLP cases, 1410 CP cases, and 9849 controls with no exposure from 4 weeks before through 12 weeks after conception. Odds ratios were estimated only if there were at least two exposed cases and two exposed controls. Association of Risk of Cleft Lip and Palate (CLP) among Offspring Born to Women Who Used Corticosteroids, by Timing of Exposure NBDPS Deliveries 2003–2009. Reference groups for the comparisons for the two time intervals included: 2003-09: 1542 CLP cases, 782 CPO cases, and 5785 controls with no exposure from 4 weeks before through 12 weeks after conception; 1997–2009: 2662 CLP cases, 1410 CP cases, and 9849 controls with no exposure from 4 weeks before through 12 weeks after conception. Odds ratios were estimated only if there were at least two exposed cases and two exposed controls. By combining the earlier data with more recent data, the total cohort included mothers of 2731 infants with CLP, 1429 infants with CPO, and 10063 controls, delivered from October 1997 through December 2009. Mothers of 69 (2.6%) infants with CLP (OR 1.2 95% CI, 0.9–1.6), 19 (1.3%) infants with CPO (OR 0.6, 95% CI, 0.4–1.0) and 214 (2.1%) controls reported using any corticosteroids from 4 weeks before 12 weeks after gestation (Table 1999). We did not find an association by route of administration or component of corticosteroid in the combined data, with the possible exception of prednisone (OR, 1.9; 95% CI, 1.0–3.7) (Table 1999). Results by time window of exposure were inconsistent (Table 2007). For CLP, odds ratios ranged from 2.8 (95% CI, 1.3–5.9) for exposures only during week 1 to 4 and 5 to 8 after conception to 0.5 (95% CI, 0.1–1.6) for exposures during weeks 9 to 12. For analyses of any corticosteroid use we adjusted for maternal race-ethnicity (Non-Hispanic white, Non-Hispanic black, Hispanic, Other, and unknown), education (<High school graduation, High school graduation, 1–3 years of college, ≥ 4years of college and unknown), intake of folic acid (any, none, and unknown), smoking (any [active], none, unknown), and study center (Arkansas, California, Georgia, Iowa, Massachusetts, New Jersey, New York, North Carolina, Texas, and Utah), and we excluded nonisolated cases in the pooled data. We conducted additional analyses restricting to states that participated in the study for the whole time period (Arkansas, California, Georgia, Iowa, Massachusetts, New York, and Texas). These modifications did not appreciably change our estimates. Length of time to interview was slightly shorter for mothers reporting corticosteroid use. This was true for both cases (mean time 9.2 months for mothers reporting corticosteroid use and 10.5 for no use) and controls (mean time 8.2 months for mothers reporting corticosteroid use and 9.1 for no use). The main results from the two time periods (1997–2002 vs. 2003–2009) are illustrated in Figure 1. Association of risk of cleft lip and palate (CLP) among offspring born to women who used maternal corticosteroid medications from 4 weeks before through 12 weeks after conception, comparing NBDPS deliveries 1997 to 2002 versus 2003 to 2009. Results are presented in a logarithmic scale. Discussion: Recent data from the NBDPS provided no support for an association between maternal corticosteroid use during early pregnancy and delivering an infant with an orofacial cleft. This is in contrast to results from the first 6 years of the NBDPS, for which there was an association with CLP but not CPO (Carmichael et al., 2007). The component of corticosteroid most strongly associated with delivering an infant with CLP in the data from 1997 to 2002 was systemic prednisone; OR 2.7 (95% CI 1.1–6.7). This association was much weaker in the data from 2003 to 2009; OR 1.4 (95% CI 0.6–3.6). When comparing corticosteroid use between the early and more recent data (1997–2002 vs. 2003–2009) there was increased use among controls (1.7–2.4%) and CPO cases (1.0–1.7%), however, there was a decrease among CLP cases (2.9 to 2.3%). This resulted in weaker associations with CLP in the more recent data. We are not aware of any significant changes in the study protocol, case ascertainment, or recruitment of cases or controls that could explain these differences. Given the small numbers, it is not possible to determine whether the frequency of reported use represents a trend or lies within the range of normal variation. We therefore suggest that our best estimates of the association of corticosteroids and orofacial clefts in the NBDPS data are those derived from the pooled data. Participation rates declined over the two time periods, from 70% to 63% overall. While this decline is substantial, participation is still in a range usually regarded as acceptable for observational studies. The strongest association by component observed in the pooled data was for CLP and prednisone (OR, 1.9; 95% CI, 1.0–3.7). The number of control mothers reporting use of prednisone was stable at 0.3% during both time periods (1997–2002 and 2003–2009), while the proportion of case mothers (CLP) reporting prednisone went down from 0.7% to 0.4%. Given the substantial difference between the association in the earlier and later data (ORs of 2.7 vs. 1.4), and its marginal statistical significance, we recommend interpreting this result with caution. This also applies to associations between corticosteroid exposures by specific time period, because they were so variable. The strongest finding was for exposures during week 1 to 4 and 5 to 8 after conception (OR, 2.8; 95% CI, 1.3, 5.9, for the pooled data). The OR in the early data was 7.3 (95% CI, 1.8–29.4) and in the later data 1.9 (95% CI, 0.7–5.0). Although we recommend interpreting these results with caution, an association by timing of exposure cannot be dismissed completely. For comparison, a large US study reported that 0.8% of women received first trimester prescriptions for systemic corticosteroids (Andrade et al., 2004), with actual medication use probably less than 100% (Olesen et al., 2001). Furthermore, the prevalence is similar to what has been found in the National Health and Nutrition Examination Study (NHANES) during the years 1999 to 2008, where 0.5% of women aged 20 to 29 years and 0.6% of women aged 30 to 39 years reported use of oral corticosteroids (Overman et al., 2013). The NHANES data also indicate a trend toward lower prevalence of oral corticosteroid use from 1999 to 2008. The earliest report of corticosteroids causing clefts was a study in mice (Fraser and Fainstat, 1951). Since then, studies have shown that corticosteroids are involved in cellular processes that lead to fusion of the palatal shelves, which can be disrupted by altering physiological corticosteroid levels (Pratt and Salomon, 1980; Piddington et al., 1983; Ziejewski et al., 2012). Studies have shown that teratogenicity can vary across species (Nau, 1986). Such studies have involved systemic corticosteroids, at doses that are 15 to 150 times human doses; thus, their comparability to the human condition is uncertain. Previous epidemiological studies on corticosteroid use during early pregnancy and the risk of delivering an infant with an orofacial cleft are outlined in Table 2013. Systemic corticosteroid use in early pregnancy has been associated with delivering an infant with CLP in some previous epidemiological studies in humans (Czeizel and Rockenbauer, 1997; Rodríguez-Pinilla and Luisa Martínez-Frías, 1998; Carmichael and Shaw, 1999; Pradat et al., 2003; Carmichael et al., 2007), one of which also reported an association with CPO (Carmichael and Shaw, 1999). Studies from Denmark, Norway, Sweden have found no association with systemic use in early pregnancy and orofacial clefts in the offspring, and a weak association with dermatological corticosteroids (Källén, 2003; Hviid and Mølgaard-Nielsen, 2011; Skuladottir et al., 2013). However, a recent population-based cohort study from the UK did not find an association between dermatological corticosteroids and clefts (Chi et al., 2013). In sum, the current literature is inconsistent regarding the association of first-trimester corticosteroid use and orofacial clefts in humans. The previous studies are limited by sample size, with number of cases (CLP and CPO combined) ranging from 8 to 1232. Summary of Previous Epidemiological Studies on Corticosteroid Use during Pregnancy and Risk of Orofacial Clefts The NBDPS included 4072 pregnancies resulting in either CLP or CPO, with 23 (0.6%) mothers reporting systemic corticosteroid use, making it the largest study exploring this potential association to date. Other strengths include the population-based design and the detailed assessment on corticosteroid mode, specific component used and the detailed time windows of exposure. We lacked information on dose and indication, which were limitations. Other potential limitations include recall bias (mean time to interview was slightly shorter for the mothers who reported corticosteroid use than the mothers who did not report use) and selection bias (participation was 72% for case mothers and 65% for control mothers). In the NBDPS questionnaire, there is no specific question for dermatological disease or treatment, and dermatological medication is consequently underreported and estimates are therefore inaccurate. Under-reported use of other types of corticosteroids is also possible but difficult to determine. Conclusion: Maternal use of corticosteroids is not associated with delivering an infant with an orofacial cleft in the NBDPS. This analysis is consistent with recent results from large population-based studies (Källén, 2003; Hviid and Mølgaard-Nielsen, 2011; Skuladottir et al., 2013). These data help to inform the clinical risk-benefit decision for use of corticosteroids during the first trimester of pregnancy.
Background: Maternal use of corticosteroids during early pregnancy has been inconsistently associated with orofacial clefts in the offspring. A previous report from the National Birth Defect Prevention Study (NBDPS), using data from 1997 to 2002, found an association with cleft lip and palate (odds ratio, 1.7; 95% confidence interval [CI], 1.1-2.6), but not cleft palate only (odds ratio, 0.5, 95%CI, 0.2-1.3). From 2003 to 2009, the study population more than doubled in size, and our objective was to assess this association in the more recent data. Methods: The NBDPS is an ongoing multi-state population-based case-control study of birth defects, with ascertainment of cases and controls born since 1997. We assessed the association of corticosteroids and orofacial clefts using data from 2372 cleft cases and 5922 controls born from 2003 to 2009. Maternal corticosteroid exposure was based on telephone interviews. Results: The overall association of corticosteroids and cleft lip and palate in the new data was 1.0 (95% CI, 0.7-1.4). There was little evidence of associations between specific corticosteroid components or timing and clefts. Conclusions: In contrast to the 1997 to 2002 data from the NBDPS, the 2003 to 2009 data show no association between maternal corticosteroid use and cleft lip and palate in the offspring.
Introduction: Orofacial clefts are one of the most common birth defects in humans, with a world birth prevalence of 1.7 per 1000 live births (Mossey et al., 2009). Orofacial clefts occur when the fusion of the lip and/or palate, which takes place during the first-trimester of pregnancy, is disrupted (Dixon et al., 2011). Corticosteroids are well-established as an experimental teratogen in animal models, causing cleft palate in mice (Fraser and Fainstat, 1951; Walker and Fraser, 1957). Several epidemiological studies have reported an association between corticosteroid use in early pregnancy in humans and delivering an infant with an orofacial cleft (Czeizel and Rockenbauer, 1997; Rodríguez-Pinilla and Luisa Martínez-Frías, 1998; Carmichael and Shaw, 1999; Edwards et al., 2003; Pradat et al., 2003; Carmichael et al., 2007), although others have not (Kallen et al., 1999; Källén, 2003; Hviid and Mølgaard-Nielsen, 2011). The anti-inflammatory and immune modulating functions of corticosteroids are effective in the treatment of conditions such as asthma, allergic reactions, eczema, psoriasis, rheumatoid arthritis, and inflammatory bowel disease. These conditions are common and often affect women of reproductive age; however, the safety of corticosteroid medication during pregnancy is uncertain. We previously reported that maternal corticosteroid use was associated with increased risk of cleft lip with or without palate (CLP) (odds ratio [OR], 1.7; 95% confidence interval [CI], 1.1–2.6) but not cleft palate only (CPO) (OR, 0.5; 95%CI, 0.2–1.3), using data from the National Birth Defects Prevention Study (NBDPS) investigating deliveries from October 1997 through December 2002, including mothers of 1141 infants with CLP, 628 infants with CPO and 4143 controls (Carmichael et al., 2007). Since then, the study population has more than doubled in size, allowing the largest study of corticosteroids and clefts to date. Given continued uncertainty about the association between orofacial clefts and corticosteroid medications and the tentative findings from our earlier analyses, our objective here was to assess the association using larger and more recent NBDPS data. Conclusion: Maternal use of corticosteroids is not associated with delivering an infant with an orofacial cleft in the NBDPS. This analysis is consistent with recent results from large population-based studies (Källén, 2003; Hviid and Mølgaard-Nielsen, 2011; Skuladottir et al., 2013). These data help to inform the clinical risk-benefit decision for use of corticosteroids during the first trimester of pregnancy.
Background: Maternal use of corticosteroids during early pregnancy has been inconsistently associated with orofacial clefts in the offspring. A previous report from the National Birth Defect Prevention Study (NBDPS), using data from 1997 to 2002, found an association with cleft lip and palate (odds ratio, 1.7; 95% confidence interval [CI], 1.1-2.6), but not cleft palate only (odds ratio, 0.5, 95%CI, 0.2-1.3). From 2003 to 2009, the study population more than doubled in size, and our objective was to assess this association in the more recent data. Methods: The NBDPS is an ongoing multi-state population-based case-control study of birth defects, with ascertainment of cases and controls born since 1997. We assessed the association of corticosteroids and orofacial clefts using data from 2372 cleft cases and 5922 controls born from 2003 to 2009. Maternal corticosteroid exposure was based on telephone interviews. Results: The overall association of corticosteroids and cleft lip and palate in the new data was 1.0 (95% CI, 0.7-1.4). There was little evidence of associations between specific corticosteroid components or timing and clefts. Conclusions: In contrast to the 1997 to 2002 data from the NBDPS, the 2003 to 2009 data show no association between maternal corticosteroid use and cleft lip and palate in the offspring.
3,366
263
[ 420, 75 ]
5
[ "use", "corticosteroid", "mothers", "clp", "cases", "association", "data", "weeks", "2003", "study" ]
[ "corticosteroids clefts date", "pregnancy orofacial clefts", "dermatological corticosteroids clefts", "clefts corticosteroid medications", "orofacial clefts corticosteroid" ]
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[CONTENT] orofacial clefts | cleft lip and palate | corticosteroids | birth defects | pregnancy [SUMMARY]
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[CONTENT] orofacial clefts | cleft lip and palate | corticosteroids | birth defects | pregnancy [SUMMARY]
[CONTENT] orofacial clefts | cleft lip and palate | corticosteroids | birth defects | pregnancy [SUMMARY]
[CONTENT] orofacial clefts | cleft lip and palate | corticosteroids | birth defects | pregnancy [SUMMARY]
[CONTENT] orofacial clefts | cleft lip and palate | corticosteroids | birth defects | pregnancy [SUMMARY]
[CONTENT] Adrenal Cortex Hormones | Black People | Case-Control Studies | Cleft Lip | Cleft Palate | Female | Hispanic or Latino | Humans | Infant, Newborn | Maternal Exposure | Odds Ratio | Pregnancy | Risk Factors | Surveys and Questionnaires | United States | White People [SUMMARY]
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[CONTENT] Adrenal Cortex Hormones | Black People | Case-Control Studies | Cleft Lip | Cleft Palate | Female | Hispanic or Latino | Humans | Infant, Newborn | Maternal Exposure | Odds Ratio | Pregnancy | Risk Factors | Surveys and Questionnaires | United States | White People [SUMMARY]
[CONTENT] Adrenal Cortex Hormones | Black People | Case-Control Studies | Cleft Lip | Cleft Palate | Female | Hispanic or Latino | Humans | Infant, Newborn | Maternal Exposure | Odds Ratio | Pregnancy | Risk Factors | Surveys and Questionnaires | United States | White People [SUMMARY]
[CONTENT] Adrenal Cortex Hormones | Black People | Case-Control Studies | Cleft Lip | Cleft Palate | Female | Hispanic or Latino | Humans | Infant, Newborn | Maternal Exposure | Odds Ratio | Pregnancy | Risk Factors | Surveys and Questionnaires | United States | White People [SUMMARY]
[CONTENT] Adrenal Cortex Hormones | Black People | Case-Control Studies | Cleft Lip | Cleft Palate | Female | Hispanic or Latino | Humans | Infant, Newborn | Maternal Exposure | Odds Ratio | Pregnancy | Risk Factors | Surveys and Questionnaires | United States | White People [SUMMARY]
[CONTENT] corticosteroids clefts date | pregnancy orofacial clefts | dermatological corticosteroids clefts | clefts corticosteroid medications | orofacial clefts corticosteroid [SUMMARY]
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[CONTENT] corticosteroids clefts date | pregnancy orofacial clefts | dermatological corticosteroids clefts | clefts corticosteroid medications | orofacial clefts corticosteroid [SUMMARY]
[CONTENT] corticosteroids clefts date | pregnancy orofacial clefts | dermatological corticosteroids clefts | clefts corticosteroid medications | orofacial clefts corticosteroid [SUMMARY]
[CONTENT] corticosteroids clefts date | pregnancy orofacial clefts | dermatological corticosteroids clefts | clefts corticosteroid medications | orofacial clefts corticosteroid [SUMMARY]
[CONTENT] corticosteroids clefts date | pregnancy orofacial clefts | dermatological corticosteroids clefts | clefts corticosteroid medications | orofacial clefts corticosteroid [SUMMARY]
[CONTENT] use | corticosteroid | mothers | clp | cases | association | data | weeks | 2003 | study [SUMMARY]
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[CONTENT] use | corticosteroid | mothers | clp | cases | association | data | weeks | 2003 | study [SUMMARY]
[CONTENT] use | corticosteroid | mothers | clp | cases | association | data | weeks | 2003 | study [SUMMARY]
[CONTENT] use | corticosteroid | mothers | clp | cases | association | data | weeks | 2003 | study [SUMMARY]
[CONTENT] use | corticosteroid | mothers | clp | cases | association | data | weeks | 2003 | study [SUMMARY]
[CONTENT] palate | clefts | orofacial | birth | orofacial clefts | carmichael | cleft | corticosteroid | common | inflammatory [SUMMARY]
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[CONTENT] weeks | cases | clp | 12 | infants | 12 weeks | weeks 12 | time | weeks conception | 12 weeks conception [SUMMARY]
[CONTENT] use corticosteroids | corticosteroids | data help inform | data help inform clinical | use corticosteroids associated delivering | use corticosteroids trimester | use corticosteroids trimester pregnancy | infant orofacial cleft nbdps | recent results large population | recent results large [SUMMARY]
[CONTENT] use | corticosteroid | mothers | weeks | cases | corticosteroids | clp | association | study | data [SUMMARY]
[CONTENT] use | corticosteroid | mothers | weeks | cases | corticosteroids | clp | association | study | data [SUMMARY]
[CONTENT] ||| the National Birth Defect Prevention Study | 1997 to 2002 | 1.7 | 95% ||| CI | 1.1-2.6 | 0.5 | 0.2 ||| 2003 to 2009 [SUMMARY]
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[CONTENT] 1.0 | 95% | CI | 0.7-1.4 ||| [SUMMARY]
[CONTENT] 1997 to 2002 | NBDPS | 2003 to 2009 [SUMMARY]
[CONTENT] ||| the National Birth Defect Prevention Study | 1997 to 2002 | 1.7 | 95% ||| CI | 1.1-2.6 | 0.5 | 0.2 ||| 2003 to 2009 ||| 1997 ||| 2372 | 5922 | 2003 to 2009 ||| ||| ||| 1.0 | 95% | CI | 0.7-1.4 ||| ||| 1997 to 2002 | NBDPS | 2003 to 2009 [SUMMARY]
[CONTENT] ||| the National Birth Defect Prevention Study | 1997 to 2002 | 1.7 | 95% ||| CI | 1.1-2.6 | 0.5 | 0.2 ||| 2003 to 2009 ||| 1997 ||| 2372 | 5922 | 2003 to 2009 ||| ||| ||| 1.0 | 95% | CI | 0.7-1.4 ||| ||| 1997 to 2002 | NBDPS | 2003 to 2009 [SUMMARY]
[Frequency and titration of hemolytic activity of anti-A and anti-B antibodies in mothers of children with jaundice in Yaoundé, Cameroon].
32341734
The alloimmunization of the ABO blood group system is involved in neonatal jaundice with a considerable overall prevalence. The role of ABO incompatibility is relatively little known. The purpose of this study was to investigate neonatal jaundice due to feto-maternal ABO incompatibilities and to determine the link between the hemolysins value in the mother and the degree of jaundice observed in the infant.
INTRODUCTION
We conducted a cross-sectional study from June to November 2015. The study population was exclusively composed of moms who were blood type O with children who were a different blood type hospitalized in the Department of Neonatology at the Reference Hospital in the city of Yaoundé. Statistical analyses were performed using the GraphPadPrism 6 software with a confidence interval of 95%.
METHODS
Hemolysins frequency was of 20.58% (7/34) and anti-A hemolysin was the most common type (85.7%; 6/7). The new-born who had blood type B had a greater concentration of bilirubin levels compared to those of the AB group (p = 0.01). Multiparity was not associated with the presence of hemolysin (p = 0.8) as well as blood type of the infant was not associated with the occurrence of the hemolysins in the mother (p = 0.5).
RESULTS
Early neonatal jaundice or protracted neonatal jaundice are also caused by hemolysins anti-A and anti-B derived from the allo-ABO immunization. A study on a larger sample is recommended for better assessment.
CONCLUSION
[ "ABO Blood-Group System", "Adolescent", "Adult", "Autoantibodies", "Blood Group Incompatibility", "Cameroon", "Complement Hemolytic Activity Assay", "Cross-Sectional Studies", "Female", "Hemolysis", "Humans", "Infant, Newborn", "Jaundice, Neonatal", "Male", "Mothers", "Prevalence", "Young Adult" ]
7170741
Introduction
Les incompatibilités fœto-maternelles érythrocytaires (IFME) sont définies par la fixation d’allo anticorps maternels sur les globules rouges du fœtus, anticorps transmis pendant la grossesse et qui ont pour cible les antigènes de groupes sanguins du fœtus, d’origine paternelle [1]. Les complexes immuns ainsi formés provoquent une immuno-hémolyse tissulaire. Chez le nouveau-né, le syndrome hémolytique s’exprime de deux façons: une anémie qui peut débuter in utero et se prolonge pendant plusieurs semaines après la naissance, et une hyperbilirubinémie (ictère) précoce et rapidement croissant après la naissance [2]. Les ictères néonataux quant à eux sont d’observation courante (65 à 70%) [3] dans les services de maternité et de néonatologie. Ils sont associés à la morbidité et à la mortalité infantile. Ils représentent la cause la plus commune de réadmission des nouveau-nés à l’hôpital [4]. Ces ictères néonataux peuvent entraîner l’accumulation de la bilirubine dans les ganglions fondamentaux et dans le cerveau et causer un ictère nucléaire. Si les victimes de cette phase aigüe parviennent à survivre, à la longue ils peuvent développer une encéphalopathie chronique. Cette condition est marquée par une surdité et un retard mental [5]. Le diagnostic des ictères revient en pratique à celui d’exclusion. La prise en charge reste une importante activité des pédiatres de maternité et des professionnels de la santé dans les services de néonatalogie [6-9]. Les ictères hémolytiques par incompatibilité fœto-maternelle connaissent deux étiologies dominantes: premièrement, l’immunisation de la mère rhésus négatif contre l’antigène D. Celle-ci est la plus connue et la mieux étudiée. Elle devient rare de nos jours grâce à une prophylaxie systématique. Deuxièmement l’immunisation dans le système ABO (cas d’une mère O portant un fœtus de groupe A, B ou AB). Cette dernière, non seulement elle représente la plus grande cause des maladies hémolytiques néonatales actuellement, mais est relativement peu connue [2]. Contrairement aux anticorps anti-A et anti-B naturels, les anticorps immuns sont fortement hémolysants par leur capacité à déclencher la cascade complète du complément. On parle ainsi d’hémolysines. Ils sont en outre caractérisés par un maximum d’activité à 37°C et sont de nature IgG. Ces derniers sont capables de traverser la barrière fœto-placentaire et entraîner la maladie hémolytique du nouveau-né. Ils sont difficilement absorbables par les antigènes A et B solubles [10, 11]. Par ailleurs, il a été suggéré que la plus grande fréquence des maladies hémolytiques du nouveau-né (MHNN) chez les africains est due à la très haute activité des hémolysines anti-A et anti-B des individus de groupe sanguin O [12, 13]. Les quelques travaux qui lui sont consacrés en Afrique Noire montrent qu’elle est très fréquente avec des conséquences parfois sévères [14] chez environ 5% de tous les nouveau-nés [15]. Toutefois, une étude effectuée au Maroc a montré que les étiologies des ictères néonataux sont dominées par l’incompatibilité ABO avec un pourcentage de 27,5% [16]. En plus, 62,2% des 1686 enfants ont développé l’ictère dans une étude menée à Lagos au Nigeria. Parmi ces ictères, 30% étaient associés à l’allo immunisation du système ABO [17]. Au Cameroun, les résultats d’une étude sur la recherche et le titrage des hémolysines anti-A et anti-B chez les femmes en période du postpartum immédiat au Centre Hospitalier et Universitaire de Yaoundé (CHUY) ont révélé que la fréquence de l’incompatibilité fœto-maternelle ABO était de 22,7% et celle des hémolysines était de 26,8%. Les hémolysines anti-A, anti-B et anti-AB ont été retrouvées respectivement dans 15,0%, 18,7% et 6,9% des cas [18]. Au vu de ces résultats, il s’était avéré intéressant de rechercher la fréquence de ces hémolysines chez les femmes dont les nouveau-nés à terme étaient victime d’ictères précoces et prolongés (ictère persistant jusqu’à 11 jours de vie) en rapport avec les incompatibilités fœto-maternelles et établir un lien entre le taux d’hémolysine chez la maman et le degré d’ictère chez l’enfant. Ceci dans le but d’augmenter la capacité de diagnostic et de prise en charge des ictères hémolytiques du nouveau-né liés aux incompatibilités dans le système ABO.
Méthodes
Type et lieu de l’étude: nous avons mené une étude transversale dans les services de néonatalogie de quatre hôpitaux de références de la ville de Yaoundé au Cameroun à savoir: le Centre Mère et Enfant de la Fondation Chantal Biya (CME, FCB); l’Hôpital Gynéco-Obstétrique et Pédiatrique de Yaoundé (HGOPY); l’Hôpital Général de Yaoundé (HGY), et enfin le Centre Hospitalier d’Essos (CHE). Population de l’étude: la population d’étude était constituée de toute femme de groupe sanguin « O » au service de néonatalogie ayant un ou plusieurs nouveau(x)-né(s) à terme et de groupe sanguin diffèrent « A, B, ou AB » présentant un ictère précoce (apparition dans les 24 heures de vie) ou prolongé (persistant jusqu’au 11ème jour de vie). Taille et duré de l’étude: nous avons administré un consentement éclairé chez 180 mamans dont leurs enfants étaient atteints d’ictère, et seul 34 mères et leurs 34 enfants ont été retenus pour cette étude qui a duré 06 mois (juin à novembre 2015). Collecte de sang: le sang veineux a été recueilli chez tous les participants (mères et enfants). Chez les enfants, 2ml de sang total a été collecte dans des tubes d’acide éthylènediaminetétraacétique (EDTA) pour le dosage de la bilirubine (directe et totale), la détermination du groupe sanguin, et la réalisation du Coombs direct. Chez les mamans, 2ml de sang total a été collecte dans des tubes EDTA pour la confirmation du groupe sanguin et la recherche des hémolysines. Le transport des échantillons des différents hôpitaux pour le lieu d’analyse (Laboratoire Centre Mère et Enfant de la Fondation Chantal Biya) s’effectuait à l’aide des portoirs à tubes préalablement emballé avec un papier absorbant et incorporé dans une boite hermétiquement fermée et à une température ambiante (+20°C à +24°C) (OMS, 2008). Le tube de l’enfant était isolé de la lumière à l’aide d’un papier aluminium et conservé dans une boite noire. En cas d’examens différés, le plasma réservé à la recherche des hémolysines était conservé à -20°C pendant un maximum de deux semaines (Louati, 2008). Par ailleurs, celui destiné au dosage de la bilirubine était conservé à l’abri de la lumière à -20°C pendant deux semaines selon (le kit CYPRESS diagnostic). La valeur du taux de la bilirubine indirecte était déterminée par la différence entre le taux de bilirubine totale et le taux de bilirubine directe. Considération éthique: une clairance éthique a été obtenue auprès du Comité National d’Ethique en Recherches en Santé Humaine (clairance No 199/CIERSH/DM/2015) suivit des autorisations de recherches auprès de tous les responsables d’hôpitaux. Les consentements éclairés ont été obtenu auprès des parents avant inclusion (parents et enfants) dans l’étude. Analyses statistiques: les données collectées ont premièrement été introduit dans un fichier Excel. Ensuite, les graphes et analyses statistiques ont réalisé à l’aide du logiciel GraphPadPrism 6. Les moyennes, écart types, fréquences et pourcentages ont été utilisé pour présenter les données. Le Student t-test a été utilisé pour comparer des variables entre 2 groupes. Toutes les analyses statistiques ont été réalisées à un intervalle de confiance de 95% et toute p-values < 0,05 était considérée significative.
Résultats
Au total, 180 prélèvements ont été réalisés chez les enfants atteints d’ictère et leurs mamans. Après analyse au laboratoire, seuls 34 paires de prélèvements mamans / enfants ont été retenus. Des 34 mères incluses, l’âge moyen était de 24,68 ans. La maman la moins âgée avait 17 ans tandis que la plus âgée avait 37 ans. La majorité des mères avait un âge compris dans l’intervalle 24,68 ± 4,77 ans avec un pourcentage de 61,76% (21/34). Les primipares (21/34) étaient les plus représentées avec une proportion de 61,76% (Tableau 1). L’âge des nouveaux nés variait de 01 à 10 jours avec une moyenne de 4,32 ± 2.19 jours. Avec une proportion de 58,82% (20/34), le sexe féminin était le plus représenté devant le sexe masculin 41,18% (14/34) (Tableau 2). Le groupe sanguin A était le plus représenté avec un pourcentage de 55,82% (20/34) devant le groupe B 32,35% (11/34) et le groupe AB 8,82% (3/ 34) (Figure 1). Le taux de bilirubine indirecte était significativement plus élevé chez les nouveau-nés de groupe sanguin B compare à ceux du groupe sanguin AB (p = 0.01). Bien que le taux de bilirubine fût plus élevé dans le groupe B comparer au groupe sanguin A, la différence n’était pas significative; les nouveau-nés de groupe sanguin B présentaient un taux de bilirubine plus élevé que ce du groupe sanguin A et AB (Figure 2). Sur 34 prélèvements chez des enfants, 2 Coombs directes se sont avérés positif soit 50% pour le groupe A et 50% pour le groupe B (Figure 3). Groupes sanguin des nouveau-nés Concentration bilirubine total par groupe sanguin Faible taux de positivité de Coombs direct chez les nouveau-nés Données sociodémographiques des mères Min: Minimum; Moy: moyenne; Max: Maximum; Cel: Celibataire; Mar: Mariée Données sociodémographiques des enfants Résultats des hémolysines par groupe sanguin Les hémolysines étaient plus représentées chez les mamans ayant les enfants de groupe A avec un pourcentage de 8,82% (3/34) devant celle de groupe B dont le pourcentage s’élevait à 2,94 (1/34) (Figure 4). Chez les primipares qui était les plus représenté avec 21 mères, 11,76% possédaient des hémolysines anti-A pour des titres variant de 32 à 64µg/mL. Cependant, aucune primipare ne possédait des hémolysines anti-B. Chez les multipares représentés par 13 mères, 08,82% possédaient uniquement des hémolysines anti-B pour des titres variant de 32 à 64µg/mL. Aucune multipare ne possédait des hémolysines anti-A et le nombre de grossesse n’avait pas d’influence (p-value = 0,8) sur la présence des hémolysines anti-A et anti-B (Figure 5). Enfin, le groupe sanguin des enfants n’était pas associé à la survenue des hémolysines chez les mamans (p-value = 0,5). Les hémolysines anti-A et anti-B sont représentées semblablement chez les mères primipares et multipares (Figure 6). Titre d’hémolysine par groupe sanguins Titre d’hémolysine par nombre de grossesse Relation entre la présence d’hémolysines et le groupe sanguin Les hémolysines étaient plus représentées chez les mamans ayant les enfants de groupe A avec un pourcentage de 8,82% (3/34) devant celle de groupe B dont le pourcentage s’élevait à 2,94 (1/34) (Figure 4). Chez les primipares qui était les plus représenté avec 21 mères, 11,76% possédaient des hémolysines anti-A pour des titres variant de 32 à 64µg/mL. Cependant, aucune primipare ne possédait des hémolysines anti-B. Chez les multipares représentés par 13 mères, 08,82% possédaient uniquement des hémolysines anti-B pour des titres variant de 32 à 64µg/mL. Aucune multipare ne possédait des hémolysines anti-A et le nombre de grossesse n’avait pas d’influence (p-value = 0,8) sur la présence des hémolysines anti-A et anti-B (Figure 5). Enfin, le groupe sanguin des enfants n’était pas associé à la survenue des hémolysines chez les mamans (p-value = 0,5). Les hémolysines anti-A et anti-B sont représentées semblablement chez les mères primipares et multipares (Figure 6). Titre d’hémolysine par groupe sanguins Titre d’hémolysine par nombre de grossesse Relation entre la présence d’hémolysines et le groupe sanguin
Conclusion
Au terme de cette étude dont l’objectif général était de mettre en évidence le rôle des hémolysines anti-A et anti-B dans les incompatibilités fœto-maternelles en relation avec les ictères néonataux dans le contexte camerounais et précisément à Yaoundé. Nous avons notez une grande proportion d’hyper bilirubinémie dans notre population cibles, demandant beaucoup plus de vigilance de la part des personnels soignant. De même, les incompatibilités dans le système ABO entre la mère de groupe sanguin O et l’enfant de groupe sanguin A, B et AB ne sont pas à négliger. Cependant, nos résultats suggèrent que le groupe sanguin de l’enfant n’a aucun effet sur la présence/fréquence et les titres des hémolysines anti-A et anti-B chez les mamans. De plus, le groupe sanguin des enfants n’a pas été associé au degré d’ictères néonataux précoces ou prolongés chez ces derniers. Etat des connaissances actuelles sur le sujet La connaissance du groupe sanguin du couple mère-enfant, le test d’hémolysine chez la mère et le test de Coombs directe chez l’enfant le premier jour de vie sont importants pour la prévention et la prise en charge des ictères liés aux incompatibilités fœto-maternels dans le système ABO. La connaissance du groupe sanguin du couple mère-enfant, le test d’hémolysine chez la mère et le test de Coombs directe chez l’enfant le premier jour de vie sont importants pour la prévention et la prise en charge des ictères liés aux incompatibilités fœto-maternels dans le système ABO. Contribution de notre étude à la connaissance Cette étude a un intérêt en santé publique, spécifiquement dans le domaine des incompatibilités fœto-maternels dans le système ABO; ce travail devrait pouvoir aider à comprendre les risques de survenue des mariages hétéro groupés dont la femme est de groupe sanguin « O »; Ainsi ce travail devrait donc pouvoir aider les couples et le personnel soignant à s’attendre à un ictère si à la naissance le groupe sanguin de l’enfant et différent du groupe sanguin « O » de la mère; En fin ce travail devrait renseigner le personnel soignant à instaurer la systématisation des groupages sanguins des mamans et leur(s) nouveau(x)-né(s), et de systématiser le teste de Coombs direct de l’enfant si le groupe sanguin de l’enfant est différent du groupe sanguin « O » de la mère. Cette étude a un intérêt en santé publique, spécifiquement dans le domaine des incompatibilités fœto-maternels dans le système ABO; ce travail devrait pouvoir aider à comprendre les risques de survenue des mariages hétéro groupés dont la femme est de groupe sanguin « O »; Ainsi ce travail devrait donc pouvoir aider les couples et le personnel soignant à s’attendre à un ictère si à la naissance le groupe sanguin de l’enfant et différent du groupe sanguin « O » de la mère; En fin ce travail devrait renseigner le personnel soignant à instaurer la systématisation des groupages sanguins des mamans et leur(s) nouveau(x)-né(s), et de systématiser le teste de Coombs direct de l’enfant si le groupe sanguin de l’enfant est différent du groupe sanguin « O » de la mère.
[ "Résultats des hémolysines par groupe sanguin", "Etat des connaissances actuelles sur le sujet", "Contribution de notre étude à la connaissance" ]
[ "Les hémolysines étaient plus représentées chez les mamans ayant les enfants de groupe A avec un pourcentage de 8,82% (3/34) devant celle de groupe B dont le pourcentage s’élevait à 2,94 (1/34) (Figure 4). Chez les primipares qui était les plus représenté avec 21 mères, 11,76% possédaient des hémolysines anti-A pour des titres variant de 32 à 64µg/mL. Cependant, aucune primipare ne possédait des hémolysines anti-B. Chez les multipares représentés par 13 mères, 08,82% possédaient uniquement des hémolysines anti-B pour des titres variant de 32 à 64µg/mL. Aucune multipare ne possédait des hémolysines anti-A et le nombre de grossesse n’avait pas d’influence (p-value = 0,8) sur la présence des hémolysines anti-A et anti-B (Figure 5). Enfin, le groupe sanguin des enfants n’était pas associé à la survenue des hémolysines chez les mamans (p-value = 0,5). Les hémolysines anti-A et anti-B sont représentées semblablement chez les mères primipares et multipares (Figure 6).\nTitre d’hémolysine par groupe sanguins\nTitre d’hémolysine par nombre de grossesse\nRelation entre la présence d’hémolysines et le groupe sanguin", "La connaissance du groupe sanguin du couple mère-enfant, le test d’hémolysine chez la mère et le test de Coombs directe chez l’enfant le premier jour de vie sont importants pour la prévention et la prise en charge des ictères liés aux incompatibilités fœto-maternels dans le système ABO.", "Cette étude a un intérêt en santé publique, spécifiquement dans le domaine des incompatibilités fœto-maternels dans le système ABO; ce travail devrait pouvoir aider à comprendre les risques de survenue des mariages hétéro groupés dont la femme est de groupe sanguin « O »;\nAinsi ce travail devrait donc pouvoir aider les couples et le personnel soignant à s’attendre à un ictère si à la naissance le groupe sanguin de l’enfant et différent du groupe sanguin « O » de la mère;\nEn fin ce travail devrait renseigner le personnel soignant à instaurer la systématisation des groupages sanguins des mamans et leur(s) nouveau(x)-né(s), et de systématiser le teste de Coombs direct de l’enfant si le groupe sanguin de l’enfant est différent du groupe sanguin « O » de la mère." ]
[ null, null, null ]
[ "Introduction", "Méthodes", "Résultats", "Résultats des hémolysines par groupe sanguin", "Discussion", "Conclusion", "Etat des connaissances actuelles sur le sujet", "Contribution de notre étude à la connaissance" ]
[ "Les incompatibilités fœto-maternelles érythrocytaires (IFME) sont définies par la fixation d’allo anticorps maternels sur les globules rouges du fœtus, anticorps transmis pendant la grossesse et qui ont pour cible les antigènes de groupes sanguins du fœtus, d’origine paternelle [1]. Les complexes immuns ainsi formés provoquent une immuno-hémolyse tissulaire. Chez le nouveau-né, le syndrome hémolytique s’exprime de deux façons: une anémie qui peut débuter in utero et se prolonge pendant plusieurs semaines après la naissance, et une hyperbilirubinémie (ictère) précoce et rapidement croissant après la naissance [2]. Les ictères néonataux quant à eux sont d’observation courante (65 à 70%) [3] dans les services de maternité et de néonatologie. Ils sont associés à la morbidité et à la mortalité infantile. Ils représentent la cause la plus commune de réadmission des nouveau-nés à l’hôpital [4]. Ces ictères néonataux peuvent entraîner l’accumulation de la bilirubine dans les ganglions fondamentaux et dans le cerveau et causer un ictère nucléaire. Si les victimes de cette phase aigüe parviennent à survivre, à la longue ils peuvent développer une encéphalopathie chronique. Cette condition est marquée par une surdité et un retard mental [5].\nLe diagnostic des ictères revient en pratique à celui d’exclusion. La prise en charge reste une importante activité des pédiatres de maternité et des professionnels de la santé dans les services de néonatalogie [6-9]. Les ictères hémolytiques par incompatibilité fœto-maternelle connaissent deux étiologies dominantes: premièrement, l’immunisation de la mère rhésus négatif contre l’antigène D. Celle-ci est la plus connue et la mieux étudiée. Elle devient rare de nos jours grâce à une prophylaxie systématique. Deuxièmement l’immunisation dans le système ABO (cas d’une mère O portant un fœtus de groupe A, B ou AB). Cette dernière, non seulement elle représente la plus grande cause des maladies hémolytiques néonatales actuellement, mais est relativement peu connue [2]. Contrairement aux anticorps anti-A et anti-B naturels, les anticorps immuns sont fortement hémolysants par leur capacité à déclencher la cascade complète du complément. On parle ainsi d’hémolysines. Ils sont en outre caractérisés par un maximum d’activité à 37°C et sont de nature IgG. Ces derniers sont capables de traverser la barrière fœto-placentaire et entraîner la maladie hémolytique du nouveau-né. Ils sont difficilement absorbables par les antigènes A et B solubles [10, 11].\nPar ailleurs, il a été suggéré que la plus grande fréquence des maladies hémolytiques du nouveau-né (MHNN) chez les africains est due à la très haute activité des hémolysines anti-A et anti-B des individus de groupe sanguin O [12, 13]. Les quelques travaux qui lui sont consacrés en Afrique Noire montrent qu’elle est très fréquente avec des conséquences parfois sévères [14] chez environ 5% de tous les nouveau-nés [15]. Toutefois, une étude effectuée au Maroc a montré que les étiologies des ictères néonataux sont dominées par l’incompatibilité ABO avec un pourcentage de 27,5% [16]. En plus, 62,2% des 1686 enfants ont développé l’ictère dans une étude menée à Lagos au Nigeria. Parmi ces ictères, 30% étaient associés à l’allo immunisation du système ABO [17]. Au Cameroun, les résultats d’une étude sur la recherche et le titrage des hémolysines anti-A et anti-B chez les femmes en période du postpartum immédiat au Centre Hospitalier et Universitaire de Yaoundé (CHUY) ont révélé que la fréquence de l’incompatibilité fœto-maternelle ABO était de 22,7% et celle des hémolysines était de 26,8%. Les hémolysines anti-A, anti-B et anti-AB ont été retrouvées respectivement dans 15,0%, 18,7% et 6,9% des cas [18]. Au vu de ces résultats, il s’était avéré intéressant de rechercher la fréquence de ces hémolysines chez les femmes dont les nouveau-nés à terme étaient victime d’ictères précoces et prolongés (ictère persistant jusqu’à 11 jours de vie) en rapport avec les incompatibilités fœto-maternelles et établir un lien entre le taux d’hémolysine chez la maman et le degré d’ictère chez l’enfant. Ceci dans le but d’augmenter la capacité de diagnostic et de prise en charge des ictères hémolytiques du nouveau-né liés aux incompatibilités dans le système ABO.", "Type et lieu de l’étude: nous avons mené une étude transversale dans les services de néonatalogie de quatre hôpitaux de références de la ville de Yaoundé au Cameroun à savoir: le Centre Mère et Enfant de la Fondation Chantal Biya (CME, FCB); l’Hôpital Gynéco-Obstétrique et Pédiatrique de Yaoundé (HGOPY); l’Hôpital Général de Yaoundé (HGY), et enfin le Centre Hospitalier d’Essos (CHE).\nPopulation de l’étude: la population d’étude était constituée de toute femme de groupe sanguin « O » au service de néonatalogie ayant un ou plusieurs nouveau(x)-né(s) à terme et de groupe sanguin diffèrent « A, B, ou AB » présentant un ictère précoce (apparition dans les 24 heures de vie) ou prolongé (persistant jusqu’au 11ème jour de vie).\nTaille et duré de l’étude: nous avons administré un consentement éclairé chez 180 mamans dont leurs enfants étaient atteints d’ictère, et seul 34 mères et leurs 34 enfants ont été retenus pour cette étude qui a duré 06 mois (juin à novembre 2015).\nCollecte de sang: le sang veineux a été recueilli chez tous les participants (mères et enfants). Chez les enfants, 2ml de sang total a été collecte dans des tubes d’acide éthylènediaminetétraacétique (EDTA) pour le dosage de la bilirubine (directe et totale), la détermination du groupe sanguin, et la réalisation du Coombs direct. Chez les mamans, 2ml de sang total a été collecte dans des tubes EDTA pour la confirmation du groupe sanguin et la recherche des hémolysines. Le transport des échantillons des différents hôpitaux pour le lieu d’analyse (Laboratoire Centre Mère et Enfant de la Fondation Chantal Biya) s’effectuait à l’aide des portoirs à tubes préalablement emballé avec un papier absorbant et incorporé dans une boite hermétiquement fermée et à une température ambiante (+20°C à +24°C) (OMS, 2008). Le tube de l’enfant était isolé de la lumière à l’aide d’un papier aluminium et conservé dans une boite noire. En cas d’examens différés, le plasma réservé à la recherche des hémolysines était conservé à -20°C pendant un maximum de deux semaines (Louati, 2008). Par ailleurs, celui destiné au dosage de la bilirubine était conservé à l’abri de la lumière à -20°C pendant deux semaines selon (le kit CYPRESS diagnostic). La valeur du taux de la bilirubine indirecte était déterminée par la différence entre le taux de bilirubine totale et le taux de bilirubine directe.\nConsidération éthique: une clairance éthique a été obtenue auprès du Comité National d’Ethique en Recherches en Santé Humaine (clairance No 199/CIERSH/DM/2015) suivit des autorisations de recherches auprès de tous les responsables d’hôpitaux. Les consentements éclairés ont été obtenu auprès des parents avant inclusion (parents et enfants) dans l’étude.\nAnalyses statistiques: les données collectées ont premièrement été introduit dans un fichier Excel. Ensuite, les graphes et analyses statistiques ont réalisé à l’aide du logiciel GraphPadPrism 6. Les moyennes, écart types, fréquences et pourcentages ont été utilisé pour présenter les données. Le Student t-test a été utilisé pour comparer des variables entre 2 groupes. Toutes les analyses statistiques ont été réalisées à un intervalle de confiance de 95% et toute p-values < 0,05 était considérée significative.", "Au total, 180 prélèvements ont été réalisés chez les enfants atteints d’ictère et leurs mamans. Après analyse au laboratoire, seuls 34 paires de prélèvements mamans / enfants ont été retenus. Des 34 mères incluses, l’âge moyen était de 24,68 ans. La maman la moins âgée avait 17 ans tandis que la plus âgée avait 37 ans. La majorité des mères avait un âge compris dans l’intervalle 24,68 ± 4,77 ans avec un pourcentage de 61,76% (21/34). Les primipares (21/34) étaient les plus représentées avec une proportion de 61,76% (Tableau 1). L’âge des nouveaux nés variait de 01 à 10 jours avec une moyenne de 4,32 ± 2.19 jours. Avec une proportion de 58,82% (20/34), le sexe féminin était le plus représenté devant le sexe masculin 41,18% (14/34) (Tableau 2). Le groupe sanguin A était le plus représenté avec un pourcentage de 55,82% (20/34) devant le groupe B 32,35% (11/34) et le groupe AB 8,82% (3/ 34) (Figure 1). Le taux de bilirubine indirecte était significativement plus élevé chez les nouveau-nés de groupe sanguin B compare à ceux du groupe sanguin AB (p = 0.01). Bien que le taux de bilirubine fût plus élevé dans le groupe B comparer au groupe sanguin A, la différence n’était pas significative; les nouveau-nés de groupe sanguin B présentaient un taux de bilirubine plus élevé que ce du groupe sanguin A et AB (Figure 2). Sur 34 prélèvements chez des enfants, 2 Coombs directes se sont avérés positif soit 50% pour le groupe A et 50% pour le groupe B (Figure 3).\nGroupes sanguin des nouveau-nés\nConcentration bilirubine total par groupe sanguin\nFaible taux de positivité de Coombs direct chez les nouveau-nés\nDonnées sociodémographiques des mères\nMin: Minimum; Moy: moyenne; Max: Maximum; Cel: Celibataire; Mar: Mariée\nDonnées sociodémographiques des enfants\n Résultats des hémolysines par groupe sanguin Les hémolysines étaient plus représentées chez les mamans ayant les enfants de groupe A avec un pourcentage de 8,82% (3/34) devant celle de groupe B dont le pourcentage s’élevait à 2,94 (1/34) (Figure 4). Chez les primipares qui était les plus représenté avec 21 mères, 11,76% possédaient des hémolysines anti-A pour des titres variant de 32 à 64µg/mL. Cependant, aucune primipare ne possédait des hémolysines anti-B. Chez les multipares représentés par 13 mères, 08,82% possédaient uniquement des hémolysines anti-B pour des titres variant de 32 à 64µg/mL. Aucune multipare ne possédait des hémolysines anti-A et le nombre de grossesse n’avait pas d’influence (p-value = 0,8) sur la présence des hémolysines anti-A et anti-B (Figure 5). Enfin, le groupe sanguin des enfants n’était pas associé à la survenue des hémolysines chez les mamans (p-value = 0,5). Les hémolysines anti-A et anti-B sont représentées semblablement chez les mères primipares et multipares (Figure 6).\nTitre d’hémolysine par groupe sanguins\nTitre d’hémolysine par nombre de grossesse\nRelation entre la présence d’hémolysines et le groupe sanguin\nLes hémolysines étaient plus représentées chez les mamans ayant les enfants de groupe A avec un pourcentage de 8,82% (3/34) devant celle de groupe B dont le pourcentage s’élevait à 2,94 (1/34) (Figure 4). Chez les primipares qui était les plus représenté avec 21 mères, 11,76% possédaient des hémolysines anti-A pour des titres variant de 32 à 64µg/mL. Cependant, aucune primipare ne possédait des hémolysines anti-B. Chez les multipares représentés par 13 mères, 08,82% possédaient uniquement des hémolysines anti-B pour des titres variant de 32 à 64µg/mL. Aucune multipare ne possédait des hémolysines anti-A et le nombre de grossesse n’avait pas d’influence (p-value = 0,8) sur la présence des hémolysines anti-A et anti-B (Figure 5). Enfin, le groupe sanguin des enfants n’était pas associé à la survenue des hémolysines chez les mamans (p-value = 0,5). Les hémolysines anti-A et anti-B sont représentées semblablement chez les mères primipares et multipares (Figure 6).\nTitre d’hémolysine par groupe sanguins\nTitre d’hémolysine par nombre de grossesse\nRelation entre la présence d’hémolysines et le groupe sanguin", "Les hémolysines étaient plus représentées chez les mamans ayant les enfants de groupe A avec un pourcentage de 8,82% (3/34) devant celle de groupe B dont le pourcentage s’élevait à 2,94 (1/34) (Figure 4). Chez les primipares qui était les plus représenté avec 21 mères, 11,76% possédaient des hémolysines anti-A pour des titres variant de 32 à 64µg/mL. Cependant, aucune primipare ne possédait des hémolysines anti-B. Chez les multipares représentés par 13 mères, 08,82% possédaient uniquement des hémolysines anti-B pour des titres variant de 32 à 64µg/mL. Aucune multipare ne possédait des hémolysines anti-A et le nombre de grossesse n’avait pas d’influence (p-value = 0,8) sur la présence des hémolysines anti-A et anti-B (Figure 5). Enfin, le groupe sanguin des enfants n’était pas associé à la survenue des hémolysines chez les mamans (p-value = 0,5). Les hémolysines anti-A et anti-B sont représentées semblablement chez les mères primipares et multipares (Figure 6).\nTitre d’hémolysine par groupe sanguins\nTitre d’hémolysine par nombre de grossesse\nRelation entre la présence d’hémolysines et le groupe sanguin", "Cette recherche visait à déterminer et à quantifier les hémolysines chez les mères essentiellement de groupe sanguin « O » dont les enfants de groupe sanguin A, B ou AB, présentaient un ictère précoce ou prolongé. Nous avons retenue dans cette étude 34 couples (mères et enfants). Cette taille est inférieure à celle (246 femmes) utilisée par Fopa et al. en 2014 [18] au Centre Hospitalier et Universitaire de Yaoundé sur la recherche et le titrage des hémolysines anti-A et anti-B chez les femmes en postpartum immédiat ainsi que les facteurs de risque associés. Ceci s’explique par le fait que ces auteurs recherchaient les hémolysines chez toutes les femmes en postpartum immédiat et en situation d’incompatibilité sanguine dans le système ABO ne tenant pas compte de l’ictère de l’enfant. Par conséquent, la présente étude incluait uniquement les femmes qui avaient des enfants ictériques.\nDe plus, les 34 enfants ictériques retenus pendant une période de 06 mois montre l’extrême rareté des maladies hémolytiques du nouveau-né à Yaoundé au Cameroun. Cette rareté est confirmée par une étude menée à Sarajevo en 2013, qui a révélé que dans les incompatibilités ABO, 15% de grossesses des mères de groupe sanguin O donnent naissance à des enfants de groupe A ou B. Selon cette étude, la fréquence des maladies hémolytiques du nouveau-né liée au système ABO est rare et a lieu dans 1/150 grossesses [19]. En outre, dans cette étude, la disparité ABO représente 27,22% de la totalité des échantillons prélevés. Ceci est semblable aux rapports de Badiee [20] et Sanpavat [21] qui ont rapporté les incompatibilités ABO dans les proportions respectives de 22,0% et 21,3% de cas et aussi par les travaux de Izetbegovic en 2013 [1] pour qui 20% des nouveau-nés sont de système ABO incompatible avec la mère. Seul parmi ceux-ci 1 enfant sur 60 aura des manifestations d’hémolyse justifiant une intervention thérapeutique.\nLes nouveau-nés les plus représentés dans cette étude sont ceux de 02, 03 et 04 jours de vie avec des pourcentages d’apparition respectifs de 17,65%, 20,59%, 23,53%. Ceci pourrait s’expliqué par la non reconnaissance de l’ictère et/ou par la négligence de celui-ci dans ces débuts. Ceux-ci étaient réadmis dans les services de néonatalogie lorsque la gravité était prononcée. Ceci concorde également avec les travaux de Poissonnier [15] qui atteste que le diagnostic clinique est typiquement évoqué devant l’ictère précoce (avant 48 heures de vie). Il s’accentue jusqu’au 3ème ou 4ème jour, sans pâleur notable. Selon cet auteur, certaines formes d’ictères évoluent sous la forme d’ictère très précoce et intense mais rapidement résolutif. Inversement, l’hyperbilirubinémie peut s’accentuer tout au long de la première semaine [15].\nDans la présente étude, aucune transfusion sanguine n’a été enregistrée, or celle-ci peut également être à l’origine des hémolysines chez les mères d’enfants. Car les études de Jaisy Mathai [22] révèlent que les hémolysines causent les hémolyses chez le receveur et sont connues par leur capacité à traverser la barrière placentaire et par conséquent, pourraient être à l’origine de la maladie hémolytique du nouveau-né [23]. Tous les enfants dans cette étude présentaient un ictère. Ainsi, les moyennes des taux de bilirubines directe, totale et indirectes étaient respectivement de 1,4718 ± 1,95 mg/dl; 13,17 ± 7,29 mg/dl et de 11,7018 ± 6,8308 mg/dl. Ceci concorde avec les résultats de Rambaud qui attestent que l’ictère apparaît pour des valeurs de bilirubinémie supérieures à l’intervalle (03 - 04,7) mg/dl [24].\nSur 180 couples (mère-enfant) de prélèvement, 49 (27,22%) de ces derniers se sont avérés incompatibles dans le système ABO (maman de groupe O et enfant de groupe A, B ou AB). Ainsi 34 (18,88%) couples ont été retenus. Parmi ceux-ci, 05 (14.70%) cas d’hémolysines ont été détectés avec 02 tests de Coombs positifs. Ce qui concorde avec les travaux qui ont montré que les ictères ne sont pas seulement causés par les hémolysines [25-27], mais que les infections bactériennes constituaient sans doute la cause la plus commune des ictères néonataux [28], suivie des atrésies du canal biliaire [29].\nLes hémolysines anti-A étaient les plus représentés soit 11,76% par rapport aux anti-B avec 2,94%. Ces résultats concordent avec ceux de Fopa et al. en 2014 au CHUY [18] qui attestent aussi que les titres les plus élevés étaient ceux d’hémolysines anti-A. Par ailleurs, le titre le plus élevé concernait l’hémolysine anti-A avec une valeur de 64 µg/mL. D’après Poissonnier, après dénaturation des IgM le titre sérique des hémolysines anti-A ou anti-B en milieu physiologique est compris entre 32 et 128, il dépasse 1 024 dans les formes les plus sévères [15].\nDans la présente étude, le groupe sanguin de l’enfant n’a aucun impact sur la survenue des hémolysines anti-A et anti-B avec une p-value = 0,5. Ce résultat infirme celui de Fopa et al. en 2014 [18] pour qui l’incompatibilité fœto-maternelle ABO représente un facteur de risque. De même, aucun lien entre le nombre de grossesses et la présence des hémolysines anti-A et anti-B montrés n’a été trouvé (p-value = 0,8). Ceci a également été trouvé par Poissonnier [15], et Sebija Izetbegovic [1]. Selon ces auteurs, l’immunisation anti-A ou anti-B de la mère, qui est dans 95% des cas de groupe O, est liée à l’existence de substances ubiquitaires proches des antigènes A et B. C’est pourquoi la maladie hémolytique par IFM ABO affecte un premier né dans 40% des cas. Elle traduit l’hémolyse des hématies du nouveau-né présentant l’antigène homologue [1]. Par ailleurs, Jaisy Mathai et al. dans une étude en Inde en 2002 [22] ont fait le teste des hémolysines pour la caractérisation de l’immunité des anticorps du système ABO. Ils ont trouvé que le plus haut niveau d’hémolysines dans ces populations était corrélé aux piqures des moustiques et aux parasites intestinaux.\nLes hémolysines retrouvées chez les femmes primipares (primigestes) peuvent être dues à une hétéro-immunisation, notamment par produits médicamenteux, en particulier vaccins, sérums tels l’anatoxine diphtérique ou tétanique [22]. En effet, ce phénomène peut également survenir, du fait de la répétions des HFM. Le rang de grossesse ne semble pas influer sur la gravité de l’expression clinique des IFME ABO [2]. Dans notre population étudiée, l’analyse de la variance nous a permis de conclure qu’il n’ya pas de lien statistiquement significatif entre les hémolysines du sang maternel et le degré d’ictère chez l’enfant. Ceci s’explique par la relativité de l’immunogénécité des antigènes des globules rouges du fœtus et de l’antigenécité des hémolysines synthétisées par la maman comme l’ont démontré Tissier et al. en 1996. Nous convenons ainsi avec Cortey pour qui, la faible antigénicité ABO des érythrocytes fœtaux et l’existence de ces mêmes sites antigéniques dans d’autres systèmes cellulaires réduisent la gravité de ce type d’allo-immunisation [2].", "Au terme de cette étude dont l’objectif général était de mettre en évidence le rôle des hémolysines anti-A et anti-B dans les incompatibilités fœto-maternelles en relation avec les ictères néonataux dans le contexte camerounais et précisément à Yaoundé. Nous avons notez une grande proportion d’hyper bilirubinémie dans notre population cibles, demandant beaucoup plus de vigilance de la part des personnels soignant. De même, les incompatibilités dans le système ABO entre la mère de groupe sanguin O et l’enfant de groupe sanguin A, B et AB ne sont pas à négliger. Cependant, nos résultats suggèrent que le groupe sanguin de l’enfant n’a aucun effet sur la présence/fréquence et les titres des hémolysines anti-A et anti-B chez les mamans. De plus, le groupe sanguin des enfants n’a pas été associé au degré d’ictères néonataux précoces ou prolongés chez ces derniers.\n Etat des connaissances actuelles sur le sujet La connaissance du groupe sanguin du couple mère-enfant, le test d’hémolysine chez la mère et le test de Coombs directe chez l’enfant le premier jour de vie sont importants pour la prévention et la prise en charge des ictères liés aux incompatibilités fœto-maternels dans le système ABO.\nLa connaissance du groupe sanguin du couple mère-enfant, le test d’hémolysine chez la mère et le test de Coombs directe chez l’enfant le premier jour de vie sont importants pour la prévention et la prise en charge des ictères liés aux incompatibilités fœto-maternels dans le système ABO.\n Contribution de notre étude à la connaissance Cette étude a un intérêt en santé publique, spécifiquement dans le domaine des incompatibilités fœto-maternels dans le système ABO; ce travail devrait pouvoir aider à comprendre les risques de survenue des mariages hétéro groupés dont la femme est de groupe sanguin « O »;\nAinsi ce travail devrait donc pouvoir aider les couples et le personnel soignant à s’attendre à un ictère si à la naissance le groupe sanguin de l’enfant et différent du groupe sanguin « O » de la mère;\nEn fin ce travail devrait renseigner le personnel soignant à instaurer la systématisation des groupages sanguins des mamans et leur(s) nouveau(x)-né(s), et de systématiser le teste de Coombs direct de l’enfant si le groupe sanguin de l’enfant est différent du groupe sanguin « O » de la mère.\nCette étude a un intérêt en santé publique, spécifiquement dans le domaine des incompatibilités fœto-maternels dans le système ABO; ce travail devrait pouvoir aider à comprendre les risques de survenue des mariages hétéro groupés dont la femme est de groupe sanguin « O »;\nAinsi ce travail devrait donc pouvoir aider les couples et le personnel soignant à s’attendre à un ictère si à la naissance le groupe sanguin de l’enfant et différent du groupe sanguin « O » de la mère;\nEn fin ce travail devrait renseigner le personnel soignant à instaurer la systématisation des groupages sanguins des mamans et leur(s) nouveau(x)-né(s), et de systématiser le teste de Coombs direct de l’enfant si le groupe sanguin de l’enfant est différent du groupe sanguin « O » de la mère.", "La connaissance du groupe sanguin du couple mère-enfant, le test d’hémolysine chez la mère et le test de Coombs directe chez l’enfant le premier jour de vie sont importants pour la prévention et la prise en charge des ictères liés aux incompatibilités fœto-maternels dans le système ABO.", "Cette étude a un intérêt en santé publique, spécifiquement dans le domaine des incompatibilités fœto-maternels dans le système ABO; ce travail devrait pouvoir aider à comprendre les risques de survenue des mariages hétéro groupés dont la femme est de groupe sanguin « O »;\nAinsi ce travail devrait donc pouvoir aider les couples et le personnel soignant à s’attendre à un ictère si à la naissance le groupe sanguin de l’enfant et différent du groupe sanguin « O » de la mère;\nEn fin ce travail devrait renseigner le personnel soignant à instaurer la systématisation des groupages sanguins des mamans et leur(s) nouveau(x)-né(s), et de systématiser le teste de Coombs direct de l’enfant si le groupe sanguin de l’enfant est différent du groupe sanguin « O » de la mère." ]
[ "intro", "methods", "results", null, "discussion", "conclusion", null, null ]
[ "Hémolysines anti-A et anti-B", "ictères néonataux", "incompatibilité fœto-maternelle", "système ABO", "Anti-A and anti-B hemolysins", "neonatal jaundice", "feto-maternal incompatibility", "ABO system" ]
Introduction: Les incompatibilités fœto-maternelles érythrocytaires (IFME) sont définies par la fixation d’allo anticorps maternels sur les globules rouges du fœtus, anticorps transmis pendant la grossesse et qui ont pour cible les antigènes de groupes sanguins du fœtus, d’origine paternelle [1]. Les complexes immuns ainsi formés provoquent une immuno-hémolyse tissulaire. Chez le nouveau-né, le syndrome hémolytique s’exprime de deux façons: une anémie qui peut débuter in utero et se prolonge pendant plusieurs semaines après la naissance, et une hyperbilirubinémie (ictère) précoce et rapidement croissant après la naissance [2]. Les ictères néonataux quant à eux sont d’observation courante (65 à 70%) [3] dans les services de maternité et de néonatologie. Ils sont associés à la morbidité et à la mortalité infantile. Ils représentent la cause la plus commune de réadmission des nouveau-nés à l’hôpital [4]. Ces ictères néonataux peuvent entraîner l’accumulation de la bilirubine dans les ganglions fondamentaux et dans le cerveau et causer un ictère nucléaire. Si les victimes de cette phase aigüe parviennent à survivre, à la longue ils peuvent développer une encéphalopathie chronique. Cette condition est marquée par une surdité et un retard mental [5]. Le diagnostic des ictères revient en pratique à celui d’exclusion. La prise en charge reste une importante activité des pédiatres de maternité et des professionnels de la santé dans les services de néonatalogie [6-9]. Les ictères hémolytiques par incompatibilité fœto-maternelle connaissent deux étiologies dominantes: premièrement, l’immunisation de la mère rhésus négatif contre l’antigène D. Celle-ci est la plus connue et la mieux étudiée. Elle devient rare de nos jours grâce à une prophylaxie systématique. Deuxièmement l’immunisation dans le système ABO (cas d’une mère O portant un fœtus de groupe A, B ou AB). Cette dernière, non seulement elle représente la plus grande cause des maladies hémolytiques néonatales actuellement, mais est relativement peu connue [2]. Contrairement aux anticorps anti-A et anti-B naturels, les anticorps immuns sont fortement hémolysants par leur capacité à déclencher la cascade complète du complément. On parle ainsi d’hémolysines. Ils sont en outre caractérisés par un maximum d’activité à 37°C et sont de nature IgG. Ces derniers sont capables de traverser la barrière fœto-placentaire et entraîner la maladie hémolytique du nouveau-né. Ils sont difficilement absorbables par les antigènes A et B solubles [10, 11]. Par ailleurs, il a été suggéré que la plus grande fréquence des maladies hémolytiques du nouveau-né (MHNN) chez les africains est due à la très haute activité des hémolysines anti-A et anti-B des individus de groupe sanguin O [12, 13]. Les quelques travaux qui lui sont consacrés en Afrique Noire montrent qu’elle est très fréquente avec des conséquences parfois sévères [14] chez environ 5% de tous les nouveau-nés [15]. Toutefois, une étude effectuée au Maroc a montré que les étiologies des ictères néonataux sont dominées par l’incompatibilité ABO avec un pourcentage de 27,5% [16]. En plus, 62,2% des 1686 enfants ont développé l’ictère dans une étude menée à Lagos au Nigeria. Parmi ces ictères, 30% étaient associés à l’allo immunisation du système ABO [17]. Au Cameroun, les résultats d’une étude sur la recherche et le titrage des hémolysines anti-A et anti-B chez les femmes en période du postpartum immédiat au Centre Hospitalier et Universitaire de Yaoundé (CHUY) ont révélé que la fréquence de l’incompatibilité fœto-maternelle ABO était de 22,7% et celle des hémolysines était de 26,8%. Les hémolysines anti-A, anti-B et anti-AB ont été retrouvées respectivement dans 15,0%, 18,7% et 6,9% des cas [18]. Au vu de ces résultats, il s’était avéré intéressant de rechercher la fréquence de ces hémolysines chez les femmes dont les nouveau-nés à terme étaient victime d’ictères précoces et prolongés (ictère persistant jusqu’à 11 jours de vie) en rapport avec les incompatibilités fœto-maternelles et établir un lien entre le taux d’hémolysine chez la maman et le degré d’ictère chez l’enfant. Ceci dans le but d’augmenter la capacité de diagnostic et de prise en charge des ictères hémolytiques du nouveau-né liés aux incompatibilités dans le système ABO. Méthodes: Type et lieu de l’étude: nous avons mené une étude transversale dans les services de néonatalogie de quatre hôpitaux de références de la ville de Yaoundé au Cameroun à savoir: le Centre Mère et Enfant de la Fondation Chantal Biya (CME, FCB); l’Hôpital Gynéco-Obstétrique et Pédiatrique de Yaoundé (HGOPY); l’Hôpital Général de Yaoundé (HGY), et enfin le Centre Hospitalier d’Essos (CHE). Population de l’étude: la population d’étude était constituée de toute femme de groupe sanguin « O » au service de néonatalogie ayant un ou plusieurs nouveau(x)-né(s) à terme et de groupe sanguin diffèrent « A, B, ou AB » présentant un ictère précoce (apparition dans les 24 heures de vie) ou prolongé (persistant jusqu’au 11ème jour de vie). Taille et duré de l’étude: nous avons administré un consentement éclairé chez 180 mamans dont leurs enfants étaient atteints d’ictère, et seul 34 mères et leurs 34 enfants ont été retenus pour cette étude qui a duré 06 mois (juin à novembre 2015). Collecte de sang: le sang veineux a été recueilli chez tous les participants (mères et enfants). Chez les enfants, 2ml de sang total a été collecte dans des tubes d’acide éthylènediaminetétraacétique (EDTA) pour le dosage de la bilirubine (directe et totale), la détermination du groupe sanguin, et la réalisation du Coombs direct. Chez les mamans, 2ml de sang total a été collecte dans des tubes EDTA pour la confirmation du groupe sanguin et la recherche des hémolysines. Le transport des échantillons des différents hôpitaux pour le lieu d’analyse (Laboratoire Centre Mère et Enfant de la Fondation Chantal Biya) s’effectuait à l’aide des portoirs à tubes préalablement emballé avec un papier absorbant et incorporé dans une boite hermétiquement fermée et à une température ambiante (+20°C à +24°C) (OMS, 2008). Le tube de l’enfant était isolé de la lumière à l’aide d’un papier aluminium et conservé dans une boite noire. En cas d’examens différés, le plasma réservé à la recherche des hémolysines était conservé à -20°C pendant un maximum de deux semaines (Louati, 2008). Par ailleurs, celui destiné au dosage de la bilirubine était conservé à l’abri de la lumière à -20°C pendant deux semaines selon (le kit CYPRESS diagnostic). La valeur du taux de la bilirubine indirecte était déterminée par la différence entre le taux de bilirubine totale et le taux de bilirubine directe. Considération éthique: une clairance éthique a été obtenue auprès du Comité National d’Ethique en Recherches en Santé Humaine (clairance No 199/CIERSH/DM/2015) suivit des autorisations de recherches auprès de tous les responsables d’hôpitaux. Les consentements éclairés ont été obtenu auprès des parents avant inclusion (parents et enfants) dans l’étude. Analyses statistiques: les données collectées ont premièrement été introduit dans un fichier Excel. Ensuite, les graphes et analyses statistiques ont réalisé à l’aide du logiciel GraphPadPrism 6. Les moyennes, écart types, fréquences et pourcentages ont été utilisé pour présenter les données. Le Student t-test a été utilisé pour comparer des variables entre 2 groupes. Toutes les analyses statistiques ont été réalisées à un intervalle de confiance de 95% et toute p-values < 0,05 était considérée significative. Résultats: Au total, 180 prélèvements ont été réalisés chez les enfants atteints d’ictère et leurs mamans. Après analyse au laboratoire, seuls 34 paires de prélèvements mamans / enfants ont été retenus. Des 34 mères incluses, l’âge moyen était de 24,68 ans. La maman la moins âgée avait 17 ans tandis que la plus âgée avait 37 ans. La majorité des mères avait un âge compris dans l’intervalle 24,68 ± 4,77 ans avec un pourcentage de 61,76% (21/34). Les primipares (21/34) étaient les plus représentées avec une proportion de 61,76% (Tableau 1). L’âge des nouveaux nés variait de 01 à 10 jours avec une moyenne de 4,32 ± 2.19 jours. Avec une proportion de 58,82% (20/34), le sexe féminin était le plus représenté devant le sexe masculin 41,18% (14/34) (Tableau 2). Le groupe sanguin A était le plus représenté avec un pourcentage de 55,82% (20/34) devant le groupe B 32,35% (11/34) et le groupe AB 8,82% (3/ 34) (Figure 1). Le taux de bilirubine indirecte était significativement plus élevé chez les nouveau-nés de groupe sanguin B compare à ceux du groupe sanguin AB (p = 0.01). Bien que le taux de bilirubine fût plus élevé dans le groupe B comparer au groupe sanguin A, la différence n’était pas significative; les nouveau-nés de groupe sanguin B présentaient un taux de bilirubine plus élevé que ce du groupe sanguin A et AB (Figure 2). Sur 34 prélèvements chez des enfants, 2 Coombs directes se sont avérés positif soit 50% pour le groupe A et 50% pour le groupe B (Figure 3). Groupes sanguin des nouveau-nés Concentration bilirubine total par groupe sanguin Faible taux de positivité de Coombs direct chez les nouveau-nés Données sociodémographiques des mères Min: Minimum; Moy: moyenne; Max: Maximum; Cel: Celibataire; Mar: Mariée Données sociodémographiques des enfants Résultats des hémolysines par groupe sanguin Les hémolysines étaient plus représentées chez les mamans ayant les enfants de groupe A avec un pourcentage de 8,82% (3/34) devant celle de groupe B dont le pourcentage s’élevait à 2,94 (1/34) (Figure 4). Chez les primipares qui était les plus représenté avec 21 mères, 11,76% possédaient des hémolysines anti-A pour des titres variant de 32 à 64µg/mL. Cependant, aucune primipare ne possédait des hémolysines anti-B. Chez les multipares représentés par 13 mères, 08,82% possédaient uniquement des hémolysines anti-B pour des titres variant de 32 à 64µg/mL. Aucune multipare ne possédait des hémolysines anti-A et le nombre de grossesse n’avait pas d’influence (p-value = 0,8) sur la présence des hémolysines anti-A et anti-B (Figure 5). Enfin, le groupe sanguin des enfants n’était pas associé à la survenue des hémolysines chez les mamans (p-value = 0,5). Les hémolysines anti-A et anti-B sont représentées semblablement chez les mères primipares et multipares (Figure 6). Titre d’hémolysine par groupe sanguins Titre d’hémolysine par nombre de grossesse Relation entre la présence d’hémolysines et le groupe sanguin Les hémolysines étaient plus représentées chez les mamans ayant les enfants de groupe A avec un pourcentage de 8,82% (3/34) devant celle de groupe B dont le pourcentage s’élevait à 2,94 (1/34) (Figure 4). Chez les primipares qui était les plus représenté avec 21 mères, 11,76% possédaient des hémolysines anti-A pour des titres variant de 32 à 64µg/mL. Cependant, aucune primipare ne possédait des hémolysines anti-B. Chez les multipares représentés par 13 mères, 08,82% possédaient uniquement des hémolysines anti-B pour des titres variant de 32 à 64µg/mL. Aucune multipare ne possédait des hémolysines anti-A et le nombre de grossesse n’avait pas d’influence (p-value = 0,8) sur la présence des hémolysines anti-A et anti-B (Figure 5). Enfin, le groupe sanguin des enfants n’était pas associé à la survenue des hémolysines chez les mamans (p-value = 0,5). Les hémolysines anti-A et anti-B sont représentées semblablement chez les mères primipares et multipares (Figure 6). Titre d’hémolysine par groupe sanguins Titre d’hémolysine par nombre de grossesse Relation entre la présence d’hémolysines et le groupe sanguin Résultats des hémolysines par groupe sanguin: Les hémolysines étaient plus représentées chez les mamans ayant les enfants de groupe A avec un pourcentage de 8,82% (3/34) devant celle de groupe B dont le pourcentage s’élevait à 2,94 (1/34) (Figure 4). Chez les primipares qui était les plus représenté avec 21 mères, 11,76% possédaient des hémolysines anti-A pour des titres variant de 32 à 64µg/mL. Cependant, aucune primipare ne possédait des hémolysines anti-B. Chez les multipares représentés par 13 mères, 08,82% possédaient uniquement des hémolysines anti-B pour des titres variant de 32 à 64µg/mL. Aucune multipare ne possédait des hémolysines anti-A et le nombre de grossesse n’avait pas d’influence (p-value = 0,8) sur la présence des hémolysines anti-A et anti-B (Figure 5). Enfin, le groupe sanguin des enfants n’était pas associé à la survenue des hémolysines chez les mamans (p-value = 0,5). Les hémolysines anti-A et anti-B sont représentées semblablement chez les mères primipares et multipares (Figure 6). Titre d’hémolysine par groupe sanguins Titre d’hémolysine par nombre de grossesse Relation entre la présence d’hémolysines et le groupe sanguin Discussion: Cette recherche visait à déterminer et à quantifier les hémolysines chez les mères essentiellement de groupe sanguin « O » dont les enfants de groupe sanguin A, B ou AB, présentaient un ictère précoce ou prolongé. Nous avons retenue dans cette étude 34 couples (mères et enfants). Cette taille est inférieure à celle (246 femmes) utilisée par Fopa et al. en 2014 [18] au Centre Hospitalier et Universitaire de Yaoundé sur la recherche et le titrage des hémolysines anti-A et anti-B chez les femmes en postpartum immédiat ainsi que les facteurs de risque associés. Ceci s’explique par le fait que ces auteurs recherchaient les hémolysines chez toutes les femmes en postpartum immédiat et en situation d’incompatibilité sanguine dans le système ABO ne tenant pas compte de l’ictère de l’enfant. Par conséquent, la présente étude incluait uniquement les femmes qui avaient des enfants ictériques. De plus, les 34 enfants ictériques retenus pendant une période de 06 mois montre l’extrême rareté des maladies hémolytiques du nouveau-né à Yaoundé au Cameroun. Cette rareté est confirmée par une étude menée à Sarajevo en 2013, qui a révélé que dans les incompatibilités ABO, 15% de grossesses des mères de groupe sanguin O donnent naissance à des enfants de groupe A ou B. Selon cette étude, la fréquence des maladies hémolytiques du nouveau-né liée au système ABO est rare et a lieu dans 1/150 grossesses [19]. En outre, dans cette étude, la disparité ABO représente 27,22% de la totalité des échantillons prélevés. Ceci est semblable aux rapports de Badiee [20] et Sanpavat [21] qui ont rapporté les incompatibilités ABO dans les proportions respectives de 22,0% et 21,3% de cas et aussi par les travaux de Izetbegovic en 2013 [1] pour qui 20% des nouveau-nés sont de système ABO incompatible avec la mère. Seul parmi ceux-ci 1 enfant sur 60 aura des manifestations d’hémolyse justifiant une intervention thérapeutique. Les nouveau-nés les plus représentés dans cette étude sont ceux de 02, 03 et 04 jours de vie avec des pourcentages d’apparition respectifs de 17,65%, 20,59%, 23,53%. Ceci pourrait s’expliqué par la non reconnaissance de l’ictère et/ou par la négligence de celui-ci dans ces débuts. Ceux-ci étaient réadmis dans les services de néonatalogie lorsque la gravité était prononcée. Ceci concorde également avec les travaux de Poissonnier [15] qui atteste que le diagnostic clinique est typiquement évoqué devant l’ictère précoce (avant 48 heures de vie). Il s’accentue jusqu’au 3ème ou 4ème jour, sans pâleur notable. Selon cet auteur, certaines formes d’ictères évoluent sous la forme d’ictère très précoce et intense mais rapidement résolutif. Inversement, l’hyperbilirubinémie peut s’accentuer tout au long de la première semaine [15]. Dans la présente étude, aucune transfusion sanguine n’a été enregistrée, or celle-ci peut également être à l’origine des hémolysines chez les mères d’enfants. Car les études de Jaisy Mathai [22] révèlent que les hémolysines causent les hémolyses chez le receveur et sont connues par leur capacité à traverser la barrière placentaire et par conséquent, pourraient être à l’origine de la maladie hémolytique du nouveau-né [23]. Tous les enfants dans cette étude présentaient un ictère. Ainsi, les moyennes des taux de bilirubines directe, totale et indirectes étaient respectivement de 1,4718 ± 1,95 mg/dl; 13,17 ± 7,29 mg/dl et de 11,7018 ± 6,8308 mg/dl. Ceci concorde avec les résultats de Rambaud qui attestent que l’ictère apparaît pour des valeurs de bilirubinémie supérieures à l’intervalle (03 - 04,7) mg/dl [24]. Sur 180 couples (mère-enfant) de prélèvement, 49 (27,22%) de ces derniers se sont avérés incompatibles dans le système ABO (maman de groupe O et enfant de groupe A, B ou AB). Ainsi 34 (18,88%) couples ont été retenus. Parmi ceux-ci, 05 (14.70%) cas d’hémolysines ont été détectés avec 02 tests de Coombs positifs. Ce qui concorde avec les travaux qui ont montré que les ictères ne sont pas seulement causés par les hémolysines [25-27], mais que les infections bactériennes constituaient sans doute la cause la plus commune des ictères néonataux [28], suivie des atrésies du canal biliaire [29]. Les hémolysines anti-A étaient les plus représentés soit 11,76% par rapport aux anti-B avec 2,94%. Ces résultats concordent avec ceux de Fopa et al. en 2014 au CHUY [18] qui attestent aussi que les titres les plus élevés étaient ceux d’hémolysines anti-A. Par ailleurs, le titre le plus élevé concernait l’hémolysine anti-A avec une valeur de 64 µg/mL. D’après Poissonnier, après dénaturation des IgM le titre sérique des hémolysines anti-A ou anti-B en milieu physiologique est compris entre 32 et 128, il dépasse 1 024 dans les formes les plus sévères [15]. Dans la présente étude, le groupe sanguin de l’enfant n’a aucun impact sur la survenue des hémolysines anti-A et anti-B avec une p-value = 0,5. Ce résultat infirme celui de Fopa et al. en 2014 [18] pour qui l’incompatibilité fœto-maternelle ABO représente un facteur de risque. De même, aucun lien entre le nombre de grossesses et la présence des hémolysines anti-A et anti-B montrés n’a été trouvé (p-value = 0,8). Ceci a également été trouvé par Poissonnier [15], et Sebija Izetbegovic [1]. Selon ces auteurs, l’immunisation anti-A ou anti-B de la mère, qui est dans 95% des cas de groupe O, est liée à l’existence de substances ubiquitaires proches des antigènes A et B. C’est pourquoi la maladie hémolytique par IFM ABO affecte un premier né dans 40% des cas. Elle traduit l’hémolyse des hématies du nouveau-né présentant l’antigène homologue [1]. Par ailleurs, Jaisy Mathai et al. dans une étude en Inde en 2002 [22] ont fait le teste des hémolysines pour la caractérisation de l’immunité des anticorps du système ABO. Ils ont trouvé que le plus haut niveau d’hémolysines dans ces populations était corrélé aux piqures des moustiques et aux parasites intestinaux. Les hémolysines retrouvées chez les femmes primipares (primigestes) peuvent être dues à une hétéro-immunisation, notamment par produits médicamenteux, en particulier vaccins, sérums tels l’anatoxine diphtérique ou tétanique [22]. En effet, ce phénomène peut également survenir, du fait de la répétions des HFM. Le rang de grossesse ne semble pas influer sur la gravité de l’expression clinique des IFME ABO [2]. Dans notre population étudiée, l’analyse de la variance nous a permis de conclure qu’il n’ya pas de lien statistiquement significatif entre les hémolysines du sang maternel et le degré d’ictère chez l’enfant. Ceci s’explique par la relativité de l’immunogénécité des antigènes des globules rouges du fœtus et de l’antigenécité des hémolysines synthétisées par la maman comme l’ont démontré Tissier et al. en 1996. Nous convenons ainsi avec Cortey pour qui, la faible antigénicité ABO des érythrocytes fœtaux et l’existence de ces mêmes sites antigéniques dans d’autres systèmes cellulaires réduisent la gravité de ce type d’allo-immunisation [2]. Conclusion: Au terme de cette étude dont l’objectif général était de mettre en évidence le rôle des hémolysines anti-A et anti-B dans les incompatibilités fœto-maternelles en relation avec les ictères néonataux dans le contexte camerounais et précisément à Yaoundé. Nous avons notez une grande proportion d’hyper bilirubinémie dans notre population cibles, demandant beaucoup plus de vigilance de la part des personnels soignant. De même, les incompatibilités dans le système ABO entre la mère de groupe sanguin O et l’enfant de groupe sanguin A, B et AB ne sont pas à négliger. Cependant, nos résultats suggèrent que le groupe sanguin de l’enfant n’a aucun effet sur la présence/fréquence et les titres des hémolysines anti-A et anti-B chez les mamans. De plus, le groupe sanguin des enfants n’a pas été associé au degré d’ictères néonataux précoces ou prolongés chez ces derniers. Etat des connaissances actuelles sur le sujet La connaissance du groupe sanguin du couple mère-enfant, le test d’hémolysine chez la mère et le test de Coombs directe chez l’enfant le premier jour de vie sont importants pour la prévention et la prise en charge des ictères liés aux incompatibilités fœto-maternels dans le système ABO. La connaissance du groupe sanguin du couple mère-enfant, le test d’hémolysine chez la mère et le test de Coombs directe chez l’enfant le premier jour de vie sont importants pour la prévention et la prise en charge des ictères liés aux incompatibilités fœto-maternels dans le système ABO. Contribution de notre étude à la connaissance Cette étude a un intérêt en santé publique, spécifiquement dans le domaine des incompatibilités fœto-maternels dans le système ABO; ce travail devrait pouvoir aider à comprendre les risques de survenue des mariages hétéro groupés dont la femme est de groupe sanguin « O »; Ainsi ce travail devrait donc pouvoir aider les couples et le personnel soignant à s’attendre à un ictère si à la naissance le groupe sanguin de l’enfant et différent du groupe sanguin « O » de la mère; En fin ce travail devrait renseigner le personnel soignant à instaurer la systématisation des groupages sanguins des mamans et leur(s) nouveau(x)-né(s), et de systématiser le teste de Coombs direct de l’enfant si le groupe sanguin de l’enfant est différent du groupe sanguin « O » de la mère. Cette étude a un intérêt en santé publique, spécifiquement dans le domaine des incompatibilités fœto-maternels dans le système ABO; ce travail devrait pouvoir aider à comprendre les risques de survenue des mariages hétéro groupés dont la femme est de groupe sanguin « O »; Ainsi ce travail devrait donc pouvoir aider les couples et le personnel soignant à s’attendre à un ictère si à la naissance le groupe sanguin de l’enfant et différent du groupe sanguin « O » de la mère; En fin ce travail devrait renseigner le personnel soignant à instaurer la systématisation des groupages sanguins des mamans et leur(s) nouveau(x)-né(s), et de systématiser le teste de Coombs direct de l’enfant si le groupe sanguin de l’enfant est différent du groupe sanguin « O » de la mère. Etat des connaissances actuelles sur le sujet: La connaissance du groupe sanguin du couple mère-enfant, le test d’hémolysine chez la mère et le test de Coombs directe chez l’enfant le premier jour de vie sont importants pour la prévention et la prise en charge des ictères liés aux incompatibilités fœto-maternels dans le système ABO. Contribution de notre étude à la connaissance: Cette étude a un intérêt en santé publique, spécifiquement dans le domaine des incompatibilités fœto-maternels dans le système ABO; ce travail devrait pouvoir aider à comprendre les risques de survenue des mariages hétéro groupés dont la femme est de groupe sanguin « O »; Ainsi ce travail devrait donc pouvoir aider les couples et le personnel soignant à s’attendre à un ictère si à la naissance le groupe sanguin de l’enfant et différent du groupe sanguin « O » de la mère; En fin ce travail devrait renseigner le personnel soignant à instaurer la systématisation des groupages sanguins des mamans et leur(s) nouveau(x)-né(s), et de systématiser le teste de Coombs direct de l’enfant si le groupe sanguin de l’enfant est différent du groupe sanguin « O » de la mère.
Background: The alloimmunization of the ABO blood group system is involved in neonatal jaundice with a considerable overall prevalence. The role of ABO incompatibility is relatively little known. The purpose of this study was to investigate neonatal jaundice due to feto-maternal ABO incompatibilities and to determine the link between the hemolysins value in the mother and the degree of jaundice observed in the infant. Methods: We conducted a cross-sectional study from June to November 2015. The study population was exclusively composed of moms who were blood type O with children who were a different blood type hospitalized in the Department of Neonatology at the Reference Hospital in the city of Yaoundé. Statistical analyses were performed using the GraphPadPrism 6 software with a confidence interval of 95%. Results: Hemolysins frequency was of 20.58% (7/34) and anti-A hemolysin was the most common type (85.7%; 6/7). The new-born who had blood type B had a greater concentration of bilirubin levels compared to those of the AB group (p = 0.01). Multiparity was not associated with the presence of hemolysin (p = 0.8) as well as blood type of the infant was not associated with the occurrence of the hemolysins in the mother (p = 0.5). Conclusions: Early neonatal jaundice or protracted neonatal jaundice are also caused by hemolysins anti-A and anti-B derived from the allo-ABO immunization. A study on a larger sample is recommended for better assessment.
Introduction: Les incompatibilités fœto-maternelles érythrocytaires (IFME) sont définies par la fixation d’allo anticorps maternels sur les globules rouges du fœtus, anticorps transmis pendant la grossesse et qui ont pour cible les antigènes de groupes sanguins du fœtus, d’origine paternelle [1]. Les complexes immuns ainsi formés provoquent une immuno-hémolyse tissulaire. Chez le nouveau-né, le syndrome hémolytique s’exprime de deux façons: une anémie qui peut débuter in utero et se prolonge pendant plusieurs semaines après la naissance, et une hyperbilirubinémie (ictère) précoce et rapidement croissant après la naissance [2]. Les ictères néonataux quant à eux sont d’observation courante (65 à 70%) [3] dans les services de maternité et de néonatologie. Ils sont associés à la morbidité et à la mortalité infantile. Ils représentent la cause la plus commune de réadmission des nouveau-nés à l’hôpital [4]. Ces ictères néonataux peuvent entraîner l’accumulation de la bilirubine dans les ganglions fondamentaux et dans le cerveau et causer un ictère nucléaire. Si les victimes de cette phase aigüe parviennent à survivre, à la longue ils peuvent développer une encéphalopathie chronique. Cette condition est marquée par une surdité et un retard mental [5]. Le diagnostic des ictères revient en pratique à celui d’exclusion. La prise en charge reste une importante activité des pédiatres de maternité et des professionnels de la santé dans les services de néonatalogie [6-9]. Les ictères hémolytiques par incompatibilité fœto-maternelle connaissent deux étiologies dominantes: premièrement, l’immunisation de la mère rhésus négatif contre l’antigène D. Celle-ci est la plus connue et la mieux étudiée. Elle devient rare de nos jours grâce à une prophylaxie systématique. Deuxièmement l’immunisation dans le système ABO (cas d’une mère O portant un fœtus de groupe A, B ou AB). Cette dernière, non seulement elle représente la plus grande cause des maladies hémolytiques néonatales actuellement, mais est relativement peu connue [2]. Contrairement aux anticorps anti-A et anti-B naturels, les anticorps immuns sont fortement hémolysants par leur capacité à déclencher la cascade complète du complément. On parle ainsi d’hémolysines. Ils sont en outre caractérisés par un maximum d’activité à 37°C et sont de nature IgG. Ces derniers sont capables de traverser la barrière fœto-placentaire et entraîner la maladie hémolytique du nouveau-né. Ils sont difficilement absorbables par les antigènes A et B solubles [10, 11]. Par ailleurs, il a été suggéré que la plus grande fréquence des maladies hémolytiques du nouveau-né (MHNN) chez les africains est due à la très haute activité des hémolysines anti-A et anti-B des individus de groupe sanguin O [12, 13]. Les quelques travaux qui lui sont consacrés en Afrique Noire montrent qu’elle est très fréquente avec des conséquences parfois sévères [14] chez environ 5% de tous les nouveau-nés [15]. Toutefois, une étude effectuée au Maroc a montré que les étiologies des ictères néonataux sont dominées par l’incompatibilité ABO avec un pourcentage de 27,5% [16]. En plus, 62,2% des 1686 enfants ont développé l’ictère dans une étude menée à Lagos au Nigeria. Parmi ces ictères, 30% étaient associés à l’allo immunisation du système ABO [17]. Au Cameroun, les résultats d’une étude sur la recherche et le titrage des hémolysines anti-A et anti-B chez les femmes en période du postpartum immédiat au Centre Hospitalier et Universitaire de Yaoundé (CHUY) ont révélé que la fréquence de l’incompatibilité fœto-maternelle ABO était de 22,7% et celle des hémolysines était de 26,8%. Les hémolysines anti-A, anti-B et anti-AB ont été retrouvées respectivement dans 15,0%, 18,7% et 6,9% des cas [18]. Au vu de ces résultats, il s’était avéré intéressant de rechercher la fréquence de ces hémolysines chez les femmes dont les nouveau-nés à terme étaient victime d’ictères précoces et prolongés (ictère persistant jusqu’à 11 jours de vie) en rapport avec les incompatibilités fœto-maternelles et établir un lien entre le taux d’hémolysine chez la maman et le degré d’ictère chez l’enfant. Ceci dans le but d’augmenter la capacité de diagnostic et de prise en charge des ictères hémolytiques du nouveau-né liés aux incompatibilités dans le système ABO. Conclusion: Au terme de cette étude dont l’objectif général était de mettre en évidence le rôle des hémolysines anti-A et anti-B dans les incompatibilités fœto-maternelles en relation avec les ictères néonataux dans le contexte camerounais et précisément à Yaoundé. Nous avons notez une grande proportion d’hyper bilirubinémie dans notre population cibles, demandant beaucoup plus de vigilance de la part des personnels soignant. De même, les incompatibilités dans le système ABO entre la mère de groupe sanguin O et l’enfant de groupe sanguin A, B et AB ne sont pas à négliger. Cependant, nos résultats suggèrent que le groupe sanguin de l’enfant n’a aucun effet sur la présence/fréquence et les titres des hémolysines anti-A et anti-B chez les mamans. De plus, le groupe sanguin des enfants n’a pas été associé au degré d’ictères néonataux précoces ou prolongés chez ces derniers. Etat des connaissances actuelles sur le sujet La connaissance du groupe sanguin du couple mère-enfant, le test d’hémolysine chez la mère et le test de Coombs directe chez l’enfant le premier jour de vie sont importants pour la prévention et la prise en charge des ictères liés aux incompatibilités fœto-maternels dans le système ABO. La connaissance du groupe sanguin du couple mère-enfant, le test d’hémolysine chez la mère et le test de Coombs directe chez l’enfant le premier jour de vie sont importants pour la prévention et la prise en charge des ictères liés aux incompatibilités fœto-maternels dans le système ABO. Contribution de notre étude à la connaissance Cette étude a un intérêt en santé publique, spécifiquement dans le domaine des incompatibilités fœto-maternels dans le système ABO; ce travail devrait pouvoir aider à comprendre les risques de survenue des mariages hétéro groupés dont la femme est de groupe sanguin « O »; Ainsi ce travail devrait donc pouvoir aider les couples et le personnel soignant à s’attendre à un ictère si à la naissance le groupe sanguin de l’enfant et différent du groupe sanguin « O » de la mère; En fin ce travail devrait renseigner le personnel soignant à instaurer la systématisation des groupages sanguins des mamans et leur(s) nouveau(x)-né(s), et de systématiser le teste de Coombs direct de l’enfant si le groupe sanguin de l’enfant est différent du groupe sanguin « O » de la mère. Cette étude a un intérêt en santé publique, spécifiquement dans le domaine des incompatibilités fœto-maternels dans le système ABO; ce travail devrait pouvoir aider à comprendre les risques de survenue des mariages hétéro groupés dont la femme est de groupe sanguin « O »; Ainsi ce travail devrait donc pouvoir aider les couples et le personnel soignant à s’attendre à un ictère si à la naissance le groupe sanguin de l’enfant et différent du groupe sanguin « O » de la mère; En fin ce travail devrait renseigner le personnel soignant à instaurer la systématisation des groupages sanguins des mamans et leur(s) nouveau(x)-né(s), et de systématiser le teste de Coombs direct de l’enfant si le groupe sanguin de l’enfant est différent du groupe sanguin « O » de la mère.
Background: The alloimmunization of the ABO blood group system is involved in neonatal jaundice with a considerable overall prevalence. The role of ABO incompatibility is relatively little known. The purpose of this study was to investigate neonatal jaundice due to feto-maternal ABO incompatibilities and to determine the link between the hemolysins value in the mother and the degree of jaundice observed in the infant. Methods: We conducted a cross-sectional study from June to November 2015. The study population was exclusively composed of moms who were blood type O with children who were a different blood type hospitalized in the Department of Neonatology at the Reference Hospital in the city of Yaoundé. Statistical analyses were performed using the GraphPadPrism 6 software with a confidence interval of 95%. Results: Hemolysins frequency was of 20.58% (7/34) and anti-A hemolysin was the most common type (85.7%; 6/7). The new-born who had blood type B had a greater concentration of bilirubin levels compared to those of the AB group (p = 0.01). Multiparity was not associated with the presence of hemolysin (p = 0.8) as well as blood type of the infant was not associated with the occurrence of the hemolysins in the mother (p = 0.5). Conclusions: Early neonatal jaundice or protracted neonatal jaundice are also caused by hemolysins anti-A and anti-B derived from the allo-ABO immunization. A study on a larger sample is recommended for better assessment.
4,647
284
[ 224, 53, 143 ]
8
[ "de", "la", "les", "des", "le", "groupe", "hémolysines", "dans", "anti", "sanguin" ]
[ "provoquent une immuno", "antigenécité des hémolysines", "maladies hémolytiques néonatales", "de néonatologie ils", "des érythrocytes fœtaux" ]
[CONTENT] Hémolysines anti-A et anti-B | ictères néonataux | incompatibilité fœto-maternelle | système ABO | Anti-A and anti-B hemolysins | neonatal jaundice | feto-maternal incompatibility | ABO system [SUMMARY]
[CONTENT] Hémolysines anti-A et anti-B | ictères néonataux | incompatibilité fœto-maternelle | système ABO | Anti-A and anti-B hemolysins | neonatal jaundice | feto-maternal incompatibility | ABO system [SUMMARY]
[CONTENT] Hémolysines anti-A et anti-B | ictères néonataux | incompatibilité fœto-maternelle | système ABO | Anti-A and anti-B hemolysins | neonatal jaundice | feto-maternal incompatibility | ABO system [SUMMARY]
[CONTENT] Hémolysines anti-A et anti-B | ictères néonataux | incompatibilité fœto-maternelle | système ABO | Anti-A and anti-B hemolysins | neonatal jaundice | feto-maternal incompatibility | ABO system [SUMMARY]
[CONTENT] Hémolysines anti-A et anti-B | ictères néonataux | incompatibilité fœto-maternelle | système ABO | Anti-A and anti-B hemolysins | neonatal jaundice | feto-maternal incompatibility | ABO system [SUMMARY]
[CONTENT] Hémolysines anti-A et anti-B | ictères néonataux | incompatibilité fœto-maternelle | système ABO | Anti-A and anti-B hemolysins | neonatal jaundice | feto-maternal incompatibility | ABO system [SUMMARY]
[CONTENT] ABO Blood-Group System | Adolescent | Adult | Autoantibodies | Blood Group Incompatibility | Cameroon | Complement Hemolytic Activity Assay | Cross-Sectional Studies | Female | Hemolysis | Humans | Infant, Newborn | Jaundice, Neonatal | Male | Mothers | Prevalence | Young Adult [SUMMARY]
[CONTENT] ABO Blood-Group System | Adolescent | Adult | Autoantibodies | Blood Group Incompatibility | Cameroon | Complement Hemolytic Activity Assay | Cross-Sectional Studies | Female | Hemolysis | Humans | Infant, Newborn | Jaundice, Neonatal | Male | Mothers | Prevalence | Young Adult [SUMMARY]
[CONTENT] ABO Blood-Group System | Adolescent | Adult | Autoantibodies | Blood Group Incompatibility | Cameroon | Complement Hemolytic Activity Assay | Cross-Sectional Studies | Female | Hemolysis | Humans | Infant, Newborn | Jaundice, Neonatal | Male | Mothers | Prevalence | Young Adult [SUMMARY]
[CONTENT] ABO Blood-Group System | Adolescent | Adult | Autoantibodies | Blood Group Incompatibility | Cameroon | Complement Hemolytic Activity Assay | Cross-Sectional Studies | Female | Hemolysis | Humans | Infant, Newborn | Jaundice, Neonatal | Male | Mothers | Prevalence | Young Adult [SUMMARY]
[CONTENT] ABO Blood-Group System | Adolescent | Adult | Autoantibodies | Blood Group Incompatibility | Cameroon | Complement Hemolytic Activity Assay | Cross-Sectional Studies | Female | Hemolysis | Humans | Infant, Newborn | Jaundice, Neonatal | Male | Mothers | Prevalence | Young Adult [SUMMARY]
[CONTENT] ABO Blood-Group System | Adolescent | Adult | Autoantibodies | Blood Group Incompatibility | Cameroon | Complement Hemolytic Activity Assay | Cross-Sectional Studies | Female | Hemolysis | Humans | Infant, Newborn | Jaundice, Neonatal | Male | Mothers | Prevalence | Young Adult [SUMMARY]
[CONTENT] provoquent une immuno | antigenécité des hémolysines | maladies hémolytiques néonatales | de néonatologie ils | des érythrocytes fœtaux [SUMMARY]
[CONTENT] provoquent une immuno | antigenécité des hémolysines | maladies hémolytiques néonatales | de néonatologie ils | des érythrocytes fœtaux [SUMMARY]
[CONTENT] provoquent une immuno | antigenécité des hémolysines | maladies hémolytiques néonatales | de néonatologie ils | des érythrocytes fœtaux [SUMMARY]
[CONTENT] provoquent une immuno | antigenécité des hémolysines | maladies hémolytiques néonatales | de néonatologie ils | des érythrocytes fœtaux [SUMMARY]
[CONTENT] provoquent une immuno | antigenécité des hémolysines | maladies hémolytiques néonatales | de néonatologie ils | des érythrocytes fœtaux [SUMMARY]
[CONTENT] provoquent une immuno | antigenécité des hémolysines | maladies hémolytiques néonatales | de néonatologie ils | des érythrocytes fœtaux [SUMMARY]
[CONTENT] de | la | les | des | le | groupe | hémolysines | dans | anti | sanguin [SUMMARY]
[CONTENT] de | la | les | des | le | groupe | hémolysines | dans | anti | sanguin [SUMMARY]
[CONTENT] de | la | les | des | le | groupe | hémolysines | dans | anti | sanguin [SUMMARY]
[CONTENT] de | la | les | des | le | groupe | hémolysines | dans | anti | sanguin [SUMMARY]
[CONTENT] de | la | les | des | le | groupe | hémolysines | dans | anti | sanguin [SUMMARY]
[CONTENT] de | la | les | des | le | groupe | hémolysines | dans | anti | sanguin [SUMMARY]
[CONTENT] de | la | les | une | des | ictères | anti | sont | par | ils [SUMMARY]
[CONTENT] de | la | été | les | le | de la | des | étude | ont | bilirubine [SUMMARY]
[CONTENT] de | les | des | hémolysines | groupe | anti | 34 | le | figure | hémolysines anti [SUMMARY]
[CONTENT] de | le | la | groupe sanguin de | sanguin de | sanguin | groupe | groupe sanguin | enfant | des [SUMMARY]
[CONTENT] de | la | les | le | des | groupe | anti | hémolysines | chez | dans [SUMMARY]
[CONTENT] de | la | les | le | des | groupe | anti | hémolysines | chez | dans [SUMMARY]
[CONTENT] ABO ||| ABO ||| ABO [SUMMARY]
[CONTENT] June to November 2015 ||| the Department of Neonatology | the Reference Hospital | Yaoundé ||| 6 | 95% [SUMMARY]
[CONTENT] Hemolysins | 20.58% | 7/34 | 85.7% | 6/7 ||| 0.01 ||| 0.8 | 0.5 [SUMMARY]
[CONTENT] ||| [SUMMARY]
[CONTENT] ABO ||| ABO ||| ABO ||| June to November 2015 ||| the Department of Neonatology | the Reference Hospital | Yaoundé ||| 6 | 95% ||| Hemolysins | 20.58% | 7/34 | 85.7% | 6/7 ||| 0.01 ||| 0.8 | 0.5 ||| ||| [SUMMARY]
[CONTENT] ABO ||| ABO ||| ABO ||| June to November 2015 ||| the Department of Neonatology | the Reference Hospital | Yaoundé ||| 6 | 95% ||| Hemolysins | 20.58% | 7/34 | 85.7% | 6/7 ||| 0.01 ||| 0.8 | 0.5 ||| ||| [SUMMARY]
Downregulation of EphA5 by promoter methylation in human prostate cancer.
25609195
EphA5 is a member of the Eph/ephrin family and plays a critical role in the regulation of carcinogenesis. A significant reduction of EphA5 transcripts in high-grade prostate cancer tissue was shown using a transcriptomic analysis, compared to the low-grade prostate cancer tissue. As less is known about the mechanism of EphA5 downregulation and the function of EphA5, here we investigated the expression and an epigenetic change of EphA5 in prostate cancer and determined if these findings were correlated with clinicopathologic characteristics of prostate cancer.
BACKGROUND
Seven prostate cell lines (RWPE-1, LNCap, LNCap-LN3, CWR22rv-1, PC-3, PC-3M-LN4, and DU145), thirty-nine BPH, twenty-two primary prostate carcinomas, twenty-three paired noncancerous and cancerous prostate tissues were examined via qRT-PCR, methylation-specific PCR, bisulfite sequencing, immunohistochemistry and western blotting. The role of EphA5 in prostate cancer cell migration and invasion was examined by wound healing and transwell assay.
METHODS
Downregulation or loss of EphA5 mRNA or protein expression was detected in 28 of 45 (62.2%) prostate carcinomas, 2 of 39 (5.1%) hyperplasias, and all 6 prostate cancer cell lines. Methylation of the EphA5 promoter region was present in 32 of 45 (71.1%) carcinoma samples, 3 of 39 (7.7%) hyperplasias, and the 6 prostate cancer cell lines. Among 23 paired prostate carcinoma tissues, 16 tumor samples exhibited the hypermethylation of EphA5, and 15 of these 16 specimens (93.8%) shown the downregulation of EphA5 expression than that of their respectively matched noncancerous samples. Immunostaining analysis demonstrated that the EphA5 protein was absent or down-regulated in 10 of 13 (76.9%) available carcinoma samples, and 8 of these 10 samples (80.0%) exhibited hypermethylation. The frequency of EphA5 methylation was higher in cancer patients with an elevated Gleason score or T3-T4 staging. Following the treatment of 6 prostate cancer cell lines with 5-aza-2'-deoxycytidine, the levels of EphA5 mRNA were significantly increased. Prostate cancer cells invasion and migration were significantly suppressed by ectopic expression of EphA5 in vitro.
RESULTS
Our study provides evidence that EphA5 is a potential target for epigenetic silencing in primary prostate cancer and is a potentially valuable prognosis predictor and thereapeutic marker for prostate cancer.
CONCLUSION
[ "Aged", "Biomarkers, Tumor", "Cell Line, Tumor", "DNA Methylation", "Gene Expression Regulation, Neoplastic", "Humans", "Male", "Middle Aged", "Neoplasm Staging", "Promoter Regions, Genetic", "Prostatic Neoplasms", "RNA, Messenger", "Receptor, EphA5" ]
4307617
Background
Prostate cancer (PCa) is the second most common male malignancy and the sixth leading cause of cancer death in men worldwide [1]. The disease burden is anticipated to grow to 1.7 million new cases and 499,000 deaths by 2030 simply due to the expansion and aging of the global population [2]. Understanding the molecular mechanisms that regulate initiation and progression of PCa is crucial for improving early diagnosis, developing rational therapies, and predicting patient prognosis [3,4]. However, the current information that is available and that can be applied in clinical practice is limited [3,4]. Therefore, the identification of new molecular alterations involved in the initiation and progression of this devastating disease will likely lead to fewer cases of prostate cancer and fewer deaths from the disease. Eph receptors represent the largest family of receptor tyrosine kinases (RTK) and include 14 human type 1 transmembrane protein members [5,6]. According to sequence homologies and ligand-binding affinities, Eph receptors and their ephrin ligands are divided into the following two subgroups: class A and class B [6]. Eph receptors share a common protein structure, including an extracellular domain (consisting of a globular domain, a cysteine-rich domain, and two fibronectin type III repeats domains), a transmembrane portion and an intracellular domain (consisting of a tyrosine kinase domain, a sterile alpha motif [SAM] and a PDZ binding domain) [7]. The aberrant methylation of CpG island promoter regions of Eph receptor genes is frequently observed during the development of many types of cancers, particularly prostate cancer [8-15]. EphA5, located on chromosome 4q13.1, is a member of the Eph receptor family. In common with other members of the Eph subgroup, EphA5 plays a critical role in the regulation of carcinogenesis and cancer progression [14,15]. Interestingly, a recent transcriptomic analysis revealed that the EphA5 gene is downregulated in radical prostatectomy patients with high grade PCa with a Gleason score of 8,suggesting that EphA5 plays a crucial role in prostate cancer progression [16]. However, the function of EphA5 and its clinical significance in prostate cancer has never been addressed. Here, we demonstrated that EphA5 is frequently downregulated in patients with prostate cancer. Furthermore, we explored the mechanism responsible for the downregulation of EphA5 and investigated its biological function and the association between EphA5 alterations and clinical characteristics of these patients.
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Results
Down-regulation of EphA5 in prostate cancer To explore the potential role of EphA5 in prostate carcinogenesis, we first analyzed its expression by real-time PCR in a panel of human nonmalignant (RWPE-1) and prostate cancer (LNCaP, LNCaP-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145) cell lines. EphA5 mRNA expression was significantly decreased in all six prostate cancer cell lines compared to the nonmalignant RWPE-1 cells (Figure 1A). In addition, we also observed that EphA5 gene expression was decreased consistently and significantly in both lymph node derivative cell lines compared to their parental prostate cancer cells LNCaP and PC-3 (Figure 1A). We further investigated the EphA5 protein levels by Western blotting analyses in these cell lines. The protein levels were consistent with the respective mRNA levels for the various cell lines (Figure 1B).Figure 1qRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line. qRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line. To determine whether epigenetic silencing of the EphA5 gene also occurs in primary prostate tumors, EphA5 expression was analyzed by real-time PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. EphA5 mRNA expression was downregulated in 28 of 45 (62.2%) prostate cancer samples and in 2 of 39 (5.1%) BPH samples (Table 2). Among the 23 paired prostate carcinoma specimens, 15 (65.2%) tumor tissues exhibited the downregulation of EphA5 when compared with their respectively matched noncancerous tissues (Additional file 1: Table S1).Table 2 Correlation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients Methylationp-value1mRNA expressionp-value1PresentAbsentNormalReducedAge (years)≤701870.8838170.371>70146911PSA (ng/ml)≤10630.742270.537>1026101521Stage (TNM)T1-T2670.019760.156T3-T42661022Gleason score6-712100.01612100.0238-10203518Prostate volume (ml)≤502470.16511200.637>508668Normal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed). Correlation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients Normal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed). To further validate the expression of EphA5 in human PCa tissue, we also analysed 4 BPH tissues, 5 primary prostate tumors tissues and 4 paired normal tissues in our study by Western blotting assay. Similar to the results of qRT–PCR in the corresponding tissues, EphA5 protein level in prostate tumour samples was significantly lower than that of matched adjacent normal tissues or BPH tissues (Figure 2).Figure 2Western blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia. Western blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia. To explore the potential role of EphA5 in prostate carcinogenesis, we first analyzed its expression by real-time PCR in a panel of human nonmalignant (RWPE-1) and prostate cancer (LNCaP, LNCaP-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145) cell lines. EphA5 mRNA expression was significantly decreased in all six prostate cancer cell lines compared to the nonmalignant RWPE-1 cells (Figure 1A). In addition, we also observed that EphA5 gene expression was decreased consistently and significantly in both lymph node derivative cell lines compared to their parental prostate cancer cells LNCaP and PC-3 (Figure 1A). We further investigated the EphA5 protein levels by Western blotting analyses in these cell lines. The protein levels were consistent with the respective mRNA levels for the various cell lines (Figure 1B).Figure 1qRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line. qRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line. To determine whether epigenetic silencing of the EphA5 gene also occurs in primary prostate tumors, EphA5 expression was analyzed by real-time PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. EphA5 mRNA expression was downregulated in 28 of 45 (62.2%) prostate cancer samples and in 2 of 39 (5.1%) BPH samples (Table 2). Among the 23 paired prostate carcinoma specimens, 15 (65.2%) tumor tissues exhibited the downregulation of EphA5 when compared with their respectively matched noncancerous tissues (Additional file 1: Table S1).Table 2 Correlation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients Methylationp-value1mRNA expressionp-value1PresentAbsentNormalReducedAge (years)≤701870.8838170.371>70146911PSA (ng/ml)≤10630.742270.537>1026101521Stage (TNM)T1-T2670.019760.156T3-T42661022Gleason score6-712100.01612100.0238-10203518Prostate volume (ml)≤502470.16511200.637>508668Normal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed). Correlation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients Normal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed). To further validate the expression of EphA5 in human PCa tissue, we also analysed 4 BPH tissues, 5 primary prostate tumors tissues and 4 paired normal tissues in our study by Western blotting assay. Similar to the results of qRT–PCR in the corresponding tissues, EphA5 protein level in prostate tumour samples was significantly lower than that of matched adjacent normal tissues or BPH tissues (Figure 2).Figure 2Western blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia. Western blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia. Methylation status of EphA5 in prostate cancer To determine the potential mechanism of EphA5 downregulation in prostate cancer, we analyzed the EphA5 gene 5′ regulatory region. We found a CpG island encompassing the transcription start site (TSS) of EphA5. Then, methylation-specific PCR (MSP-PCR) was performed to examine the methylation status of each of the cell lines. Methylated DNA was detected in all six prostate cancer cell lines, whereas the hypermethylation of EphA5 gene was not detected in nonmalignant RWPE-1 cells (Figure 3A). In addition, both methylated and unmethylated sequences were observed in the PC-3 cell line, indicating partial methylation.Figure 3Methylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides. Methylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides. To determine whether EphA5 hypermethylation also occurs in primary prostate tumors, the methylation status of EphA5 was determined by MSP-PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. The frequency of EphA5 promoter methylation was significantly higher in prostate cancer samples (32 of 45, 71.1%) than in BPH tissue samples (5 of 39, 12.8%; p < 0.01) and paired noncancerous tissues (2 of 23, 8.7%; p < 0.01). Of these 32 methylated prostate cancer samples, EphA5 expression was markedly downregulated in 25 samples. The correlation between EphA5 expression and hypermethylation of the CpG island was significant (p = 0.001). Among the 23 paired prostate carcinoma specimens, the hypermethylation of EphA5 was detected in 69.6% (16/23) prostate carcinoma tissues. Of these 16 prostate cancer samples, 15(93.8%) exhibited the downregulation of EphA5 expression than that of their respectively matched noncancerous tissues, implying that the hypermethylation of EphA5 was significantly correlated with the downregulation of EphA5 (p < 0.01) (Additional file 1: Table S1). The unmethylated form of EphA5, which was present in all samples, is likely due to the inherent contamination with normal (nonmalignant) cells or partial methylation. Representative results from MSP–PCR analyses in prostate tissue are shown in Figure 4A.Figure 4Methylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides. Methylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides. To further verify the MSP-PCR results, we subjected all of the cell lines and randomly selected tissue samples to bisulfite sequencing. We analyzed a 406 bp segment of the EphA5 gene 5′ regulatory region (−103 to +303 bp; TSS, +1 bp), which includes 38 CpG sites and spans the core promoter, exon 1, and part of intron 1 (Figure 3B). Similar to the MSP-PCR results, the CpG sites were hypermethylated in all six tumor cell lines (LNCaP, LNCap-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145), and in some of the prostate carcinoma and hyperplasia specimens (Figures 3C and 4B). Representative examples displaying frequent, localized methylation at the CpG island for all six prostate tumor cell lines and a prostate carcinoma sample (T24) are shown in Figure 3D. Additionally, the lack of methylation in the RWPE-1 nonmalignant cell line and a noncancerous prostate sample (N1) are shown in Figure 4C. To determine the potential mechanism of EphA5 downregulation in prostate cancer, we analyzed the EphA5 gene 5′ regulatory region. We found a CpG island encompassing the transcription start site (TSS) of EphA5. Then, methylation-specific PCR (MSP-PCR) was performed to examine the methylation status of each of the cell lines. Methylated DNA was detected in all six prostate cancer cell lines, whereas the hypermethylation of EphA5 gene was not detected in nonmalignant RWPE-1 cells (Figure 3A). In addition, both methylated and unmethylated sequences were observed in the PC-3 cell line, indicating partial methylation.Figure 3Methylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides. Methylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides. To determine whether EphA5 hypermethylation also occurs in primary prostate tumors, the methylation status of EphA5 was determined by MSP-PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. The frequency of EphA5 promoter methylation was significantly higher in prostate cancer samples (32 of 45, 71.1%) than in BPH tissue samples (5 of 39, 12.8%; p < 0.01) and paired noncancerous tissues (2 of 23, 8.7%; p < 0.01). Of these 32 methylated prostate cancer samples, EphA5 expression was markedly downregulated in 25 samples. The correlation between EphA5 expression and hypermethylation of the CpG island was significant (p = 0.001). Among the 23 paired prostate carcinoma specimens, the hypermethylation of EphA5 was detected in 69.6% (16/23) prostate carcinoma tissues. Of these 16 prostate cancer samples, 15(93.8%) exhibited the downregulation of EphA5 expression than that of their respectively matched noncancerous tissues, implying that the hypermethylation of EphA5 was significantly correlated with the downregulation of EphA5 (p < 0.01) (Additional file 1: Table S1). The unmethylated form of EphA5, which was present in all samples, is likely due to the inherent contamination with normal (nonmalignant) cells or partial methylation. Representative results from MSP–PCR analyses in prostate tissue are shown in Figure 4A.Figure 4Methylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides. Methylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides. To further verify the MSP-PCR results, we subjected all of the cell lines and randomly selected tissue samples to bisulfite sequencing. We analyzed a 406 bp segment of the EphA5 gene 5′ regulatory region (−103 to +303 bp; TSS, +1 bp), which includes 38 CpG sites and spans the core promoter, exon 1, and part of intron 1 (Figure 3B). Similar to the MSP-PCR results, the CpG sites were hypermethylated in all six tumor cell lines (LNCaP, LNCap-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145), and in some of the prostate carcinoma and hyperplasia specimens (Figures 3C and 4B). Representative examples displaying frequent, localized methylation at the CpG island for all six prostate tumor cell lines and a prostate carcinoma sample (T24) are shown in Figure 3D. Additionally, the lack of methylation in the RWPE-1 nonmalignant cell line and a noncancerous prostate sample (N1) are shown in Figure 4C. Immunohistochemical expression of EphA5 To further verify the expression of EphA5 in human prostate tumors, we examined its expression via immunohistochemistry in 13 paired prostate carcinomas and noncancerous tissues. Strong immunostaining of the EphA5 protein was observed in the cytoplasm of all 13 paired noncancerous tissues. Among the 13 prostate carcinoma specimens, 10 (76.9%) exhibited undetectable or weak immunostaining. Of these 10 tumor tissues, hypermethylation was present in 8 samples (80.0%). There was a strongly negative correlation between promoter hypermethylation of the EphA5 gene and EphA5 protein expression (p = 0.012). Representative examples displaying positive EphA5 protein immunostaining in a noncancerous prostate sample, weak EphA5 protein immunostaining in a low-grade prostate cancer specimen (Gleason score = 7) and negative EphA5 protein immunostaining in a high-grade prostate carcinoma sample (Gleason score = 9) are shown in Figure 5.Figure 5Representatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm). Representatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm). To further verify the expression of EphA5 in human prostate tumors, we examined its expression via immunohistochemistry in 13 paired prostate carcinomas and noncancerous tissues. Strong immunostaining of the EphA5 protein was observed in the cytoplasm of all 13 paired noncancerous tissues. Among the 13 prostate carcinoma specimens, 10 (76.9%) exhibited undetectable or weak immunostaining. Of these 10 tumor tissues, hypermethylation was present in 8 samples (80.0%). There was a strongly negative correlation between promoter hypermethylation of the EphA5 gene and EphA5 protein expression (p = 0.012). Representative examples displaying positive EphA5 protein immunostaining in a noncancerous prostate sample, weak EphA5 protein immunostaining in a low-grade prostate cancer specimen (Gleason score = 7) and negative EphA5 protein immunostaining in a high-grade prostate carcinoma sample (Gleason score = 9) are shown in Figure 5.Figure 5Representatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm). Representatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm). Restoration of EphA5 gene expression by treatment with 5-aza-2′-deoxycytidine To determine whether the inhibition of cytosine methylation could induce EphA5 mRNA expression in cell lines with hypermethylated CpG islands, we treated all of the cell lines with the cytosine methylation inhibitor 5-aza-2′-deoxycytidine (5 μmol/L, 48 h). Compared with untreated cells, the EphA5 mRNA level was significantly increased in LNCaP (36.7 ± 5.9-fold, p = 0.0021), LNCaP-LN3 (40.6 ± 4.4-fold, p = 0.0001), PC-3 (12.7 ± 3.7-fold, p = 0.0018), PC-3M-LN4 (33.6 ± 7.3-fold, p = 0.0041), CWR22rv-1 (39.1 ± 4.8-fold, p = 0.0063), and DU145 (42.9 ± 9.8-fold, p = 0.0039) cells. However, there was no significant enhancement of EphA5 mRNA levels in the RWPE-1 nonmalignant cells following 5-aza-2′-deoxycytidine treatment for 48 h (Figure 6). These results suggest that DNA hypermethylation is involved in EphA5 gene silencing in prostate cancer cell lines.Figure 6EphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours. EphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours. To determine whether the inhibition of cytosine methylation could induce EphA5 mRNA expression in cell lines with hypermethylated CpG islands, we treated all of the cell lines with the cytosine methylation inhibitor 5-aza-2′-deoxycytidine (5 μmol/L, 48 h). Compared with untreated cells, the EphA5 mRNA level was significantly increased in LNCaP (36.7 ± 5.9-fold, p = 0.0021), LNCaP-LN3 (40.6 ± 4.4-fold, p = 0.0001), PC-3 (12.7 ± 3.7-fold, p = 0.0018), PC-3M-LN4 (33.6 ± 7.3-fold, p = 0.0041), CWR22rv-1 (39.1 ± 4.8-fold, p = 0.0063), and DU145 (42.9 ± 9.8-fold, p = 0.0039) cells. However, there was no significant enhancement of EphA5 mRNA levels in the RWPE-1 nonmalignant cells following 5-aza-2′-deoxycytidine treatment for 48 h (Figure 6). These results suggest that DNA hypermethylation is involved in EphA5 gene silencing in prostate cancer cell lines.Figure 6EphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours. EphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours. Correlation between the mRNA expression and methylation of EphA5 and clinicopathologic features We analyzed various patient clinicopathologic parameters in relation to the downregulation and methylation of EphA5. EphA5 expression differences were not correlated with median age (p = 0.371), TNM stage (p = 0.156), PSA serum concentration (p = 0.537) or prostate volume (p = 0.637). However, the low Gleason score group (Gleason score: 6-7) had significantly higher expression of EphA5 than the high Gleason score group (Gleason score: 8-10) (45.5% vs. 78.3%; p = 0.023). Significant correlations were observed between the frequency of EphA5 methylation and TNM staging (p = 0.019) and Gleason score (p = 0.016). However, no significant difference between the Gleason score 7 (3 + 4) group and the Gleason score 7 (4 + 3) group was observed about the expression of EphA5 and the hypermethylation of EphA5 (data not shown). No correlation between the occurrence of EphA5 hypermethylation and prostate-specific antigen (PSA) levels and prostate volume in prostate carcinoma samples was observed (Table 2). We analyzed various patient clinicopathologic parameters in relation to the downregulation and methylation of EphA5. EphA5 expression differences were not correlated with median age (p = 0.371), TNM stage (p = 0.156), PSA serum concentration (p = 0.537) or prostate volume (p = 0.637). However, the low Gleason score group (Gleason score: 6-7) had significantly higher expression of EphA5 than the high Gleason score group (Gleason score: 8-10) (45.5% vs. 78.3%; p = 0.023). Significant correlations were observed between the frequency of EphA5 methylation and TNM staging (p = 0.019) and Gleason score (p = 0.016). However, no significant difference between the Gleason score 7 (3 + 4) group and the Gleason score 7 (4 + 3) group was observed about the expression of EphA5 and the hypermethylation of EphA5 (data not shown). No correlation between the occurrence of EphA5 hypermethylation and prostate-specific antigen (PSA) levels and prostate volume in prostate carcinoma samples was observed (Table 2). Overexpression of EphA5 inhibits prostate cancer cell invasion and migration To assess the effect of EphA5 expression on invasion and migration, we transiently infected Du145 cells lacking expression of EphA5 with plasmid expressing pCMV6-AC-GFP or pCMV6-AC-GFP-EphA5 and generated stably transfected cells using G418 selection. Western blotting analysis demonstrated that EphA5 was over-expressed in DU145 cells transfected with pCMV6-AC-GFP-EphA5 (Figure 7A). The wound healing assay demonstrated that the wound-closure rate of pCMV6-AC-GFP-EphA5 cells decreased by 33.7% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7C). The transwell assay showed that the number of invasive cells in pCMV6-AC-GFP-EphA5 cells decreased by 38.1% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7B). These data implied that EphA5 expression inhibited cell migration and invasion in vitro.Figure 7EphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group. EphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group. To assess the effect of EphA5 expression on invasion and migration, we transiently infected Du145 cells lacking expression of EphA5 with plasmid expressing pCMV6-AC-GFP or pCMV6-AC-GFP-EphA5 and generated stably transfected cells using G418 selection. Western blotting analysis demonstrated that EphA5 was over-expressed in DU145 cells transfected with pCMV6-AC-GFP-EphA5 (Figure 7A). The wound healing assay demonstrated that the wound-closure rate of pCMV6-AC-GFP-EphA5 cells decreased by 33.7% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7C). The transwell assay showed that the number of invasive cells in pCMV6-AC-GFP-EphA5 cells decreased by 38.1% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7B). These data implied that EphA5 expression inhibited cell migration and invasion in vitro.Figure 7EphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group. EphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group.
Conclusion
In summary, we have established that loss of EphA5 expression in prostate cancer may be due to methylation of CpG sites within the EphA5 promoter. Our data indicate that EphA5 is a potential prognostic biomarker and a useful molecular therapeutic target to attenuate prostate cancer progression.
[ "Cell culture", "Patients and tissues", "Gene expression analysis by real-time PCR", "Methylation-specific PCR", "Bisulfite genomic sequencing", "Western blot analysis", "Immunohistochemistry (IHC) and Imaging", "Scratch migration assay and Invasion assay", "Statistics", "Down-regulation of EphA5 in prostate cancer", "Methylation status of EphA5 in prostate cancer", "Immunohistochemical expression of EphA5", "Restoration of EphA5 gene expression by treatment with 5-aza-2′-deoxycytidine", "Correlation between the mRNA expression and methylation of EphA5 and clinicopathologic features", "Overexpression of EphA5 inhibits prostate cancer cell invasion and migration" ]
[ "The RWPE-1, PC-3 and Du145 cell lines were purchased from the Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences (Shanghai, China). The LNCap, LNCap-LN3, PC-3M-LN4, and CWR22rv-1 cell lines were kindly provided by Dr. Zhang (Biomedical Research Institute, Shenzhen PKU-HKUST Medical Center, Shenzhen, China). All of the cell lines were cultured in RPMI 1640 medium (HyClone, Logan, UT) containing 10% fetal bovine serum, penicillin (100 U/ml) and streptomycin (100 U/ml) in a 5% CO2 atmosphere at 37°C.\nCells were seeded at a density of 5 × 104 cells per square centimeter in a 6-well plate. After 36 hours of incubation, fresh culture medium with or without demethylating agent 5-aza-2′-deoxycytidine was added (5 μmol/L, Sigma-Aldrich, USA); cells were then incubated for an additional 48 hours.", "All tissue specimens were obtained between March 2013 and December 2013 at the Urology Department of Huashan Hospital (Shanghai, China). Benign prostate hyperplasia (BPH) samples (39) and some of the prostate carcinoma (22) samples were collected from patients undergoing prostate needle biopsies, and 23 paired noncancerous and tumor tissue samples were obtained from patients following radical prostatectomy. Paired normal specimen was obtained from an area that was at least 1cm away from any cancerous tissue and did not contain either cancer cells or premalignant tissue morphologically by histological examination of sequential sections. All of the cancer samples were histologically confirmed to contain greater than 80% tumor cells. Staging was assessed after pathological examination of formalin-fixed specimens according to the 1997 TNM classification system. Written consents were obtained from all subjects and the study protocol was approved by the Ethics Committee of Huashan Hospital. Clinical and biological data from the patients are listed in Table 1.Table 1\nPatient clinical and histological characteristics\nProstate cancer (%)BPH (%)Case, n4539Age (mean ± SD, years)69.5 ± 10.363.6 ± 9.1TNMT11 (2.2)T212 (26.7)T314 (31.1)T418 (40.0)Gleason score6-722 (48.9)8-1023 (51.1)PSA (ng/ml)<4.02 (4.4)4 (10.3)4.0–10.07 (15.6)21 (53.8)>10.036 (80.0)14 (35.9)Prostate volume (ml)<3014 (31.1)8 (20.5)30–5017 (37.8)12 (30.8)>5014 (31.1)19 (48.7)\n\nPatient clinical and histological characteristics\n", "Total RNA was extracted from cells and tissues using the AllPrep DNA/RNA/Protein Mini Kit (Qiagen, Germany), and samples were reverse transcribed using the PrimScriptTM RT Reagent Kit (TaKaRa, China) as described in the manufacturer’s protocol. Real-time PCR to determine EphA5 and GAPDH mRNA levels was performed using the QuantiFast Probe PCR Kit (Qiagen, Germany) according to the manufacturer’s instructions; all analyses were conducted using the ABI Prism 7500 sequence detection system (Applied Biosystems, CA). The relative quantification of EphA5 mRNA levels was performed using the comparative Ct method (2-△△Ct method) with GAPDH as the reference gene. Increases or decreases in mRNA levels of at least two fold were considered to be significant. The primer sequences were as follows: EphA5 forward, 5’-TCTGTGGTACGACACTTGGC-3’; EphA5 reverse, 5’-CTTGCACATGCATTTCCCGA-3’; GAPDH forward, 5’-GAGAAGGCTGGGGCTCATTT-3’; GAPDH reverse, 5’-AGTGATGGCATGGACTGTGG-3’.", "Genomic DNA was isolated from cells and tissues using the AllPrep DNA/RNA/Protein Mini Kit (Qiagen, German) and modified using the EZ DNA Methylation-Gold Kit (ZYMO Research Co, Orange, CA) according to the manufacturer’s instructions. To identify aberrant methylation of the EphA5 gene, the modified DNA was amplified using primers specific for the methylated sequence (MSP, forward primer: 5′-ATTGAGTCGTTCGGGATAGC-3′ and reverse primer: 5′-GTCGAAATACAAAATAACAACCGA-3′) and primers specific for the unmethylated sequence (USP, forward primer: 5′-GATTGAGTTGTTTGGGATAGTGG-3′ and reverse primer: 5′-CCATCAAAATACAAAATAACAACCA-3′) using TaKaRa HotStarTaq DNA polymerase [15]. Amplicons were separated on 3% agarose gels and visualized under ultraviolet illumination.", "The sodium bisulfite-modified DNA was amplified via PCR using the following primers: Bis-EphA5-F (5′-TGGTTTTTATATTTGGAGGAGT-3′) and Bis-EphA5-R (5′-AAAACCTAAACTCCCAAACC-3′) [15]. PCR products were purified using the QIAquick PCR Purification Kit (Qiagen; Valencia, CA), subcloned into the pMD19-T vector (TaKaRa), transformed into E. coli (DH5-alpha) and grown on LB agar plates containing kanamycin with X-gal/IPTG for blue/white selection. To detect the methylation status of the EphA5 promoter, six isolated colonies from each plate were picked, sequenced and analyzed using an ABI 3730 DNA Sequencer (Applied Biosystems).", "Total protein was extracted from prostate tissue and cell lines using radioimmunoprecipitation assay (RIPA) buffer, and protein concentrations were determined using the BCA Protein Reagent Kit (Beyotime, China) according to the manufacturer's instructions. Proteins (100 μg) were separated via SDS-PAGE on an 8% gel, transferred to a polyvinylidene fluoride membrane, and incubated with the following antibodies: rabbit anti-EphA5 (1:500, Abcam, CA) and mouse anti-beta-actin (1:1000, Santa Cruz, CA) overnight at 4°C. After washing, the membranes were incubated with HRP-conjugated goat polyclonal secondary antibodies to mouse IgG and rabbit IgG (1:5000, Abcam, CA) for 2 h and visualized with enhanced chemiluminescent substrate (Millipore, CA). Then, immunoreactive bands were quantified using the LAS-3000 system (Fuji Film, Japan).", "Tissues were fixed in 4% formalin, embedded in paraffin and sectioned at a thickness of 4 microns. Sections were deparaffinized in several xylene washes and then rehydrated in graded alcohols. The sections were permeabilized in citrate buffer (pH 6.0, Maixin) for 10 min and then incubated with normal goat serum for 1 h. Next, the sections were incubated with rabbit anti-EphA5 polyclonal antibody (dilution 1:1000, Abcam, CA) for 1 h at 37°C and then stained using an HRP-conjugated secondary antibody (Dako, UK) for 1 h at room temperature. Finally, the sections were incubated and stained with DAB substrate and hematoxylin, scanned with an Olympus BX53 microscope and photographed using the Cellsens Entry software (Olympus). EphA5 expression was classified as negative if less than 5% of the tumor cells were positive for EphA5 staining and classified as positive if more than 5% of the tumor cells were positive for EphA5 staining.", "For evaluation the EphA5 function,we obtained the Du145 derivative cell lines that stably overexpressed EphA5 via transfection of pCMV6-AC-GFP-EphA5 plasmid (Cat No. RG213206, Origene, CA) according to the manufacturer’s protocol. Du145 cell transfected with pCMV6-AC-GFP empty plasmid (Cat No. PS100010, Origene, CA) empty vector were used as the control.\nFor scratch migration assay, cells were cultured in 24-well plates until confluence. The monolayer was scratched with a sterile 200 μl pipette tip to create a denuded area of constant width. The wound closure was monitored and photographed before and 24 hours after wounding.\nFor the Matrigel invasion assay, 1 × 105 cells were seeded into the upper compartment of the insert with Matrigel (BD Biosciences, Woburn, Mass) in serum-free growth medium. Then, the upper chamber were placed into 24-well culture dishes containing 600 μl of complete growth medium. After 48h of incubation at 37°C, cells in the upper chamber were subsequently removed with cotton swabs and then stained with a solution containing 0.1% crystal violet and 4% formaldehyde. The number of cells that fixed on the bottom membrane of the inserts was counted.", "A two-tailed Student's t-test was used to compare various groups to assess statistical significance. The differences in gene expression levels between prostate cancer samples and noncancerous prostate tissue specimens were analyzed using a chi-squared test. All statistical analyses were performed using the SPSS 11.0 software. P < 0.05 was considered to be statistically significant.", "To explore the potential role of EphA5 in prostate carcinogenesis, we first analyzed its expression by real-time PCR in a panel of human nonmalignant (RWPE-1) and prostate cancer (LNCaP, LNCaP-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145) cell lines. EphA5 mRNA expression was significantly decreased in all six prostate cancer cell lines compared to the nonmalignant RWPE-1 cells (Figure 1A). In addition, we also observed that EphA5 gene expression was decreased consistently and significantly in both lymph node derivative cell lines compared to their parental prostate cancer cells LNCaP and PC-3 (Figure 1A). We further investigated the EphA5 protein levels by Western blotting analyses in these cell lines. The protein levels were consistent with the respective mRNA levels for the various cell lines (Figure 1B).Figure 1qRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line.\nqRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line.\nTo determine whether epigenetic silencing of the EphA5 gene also occurs in primary prostate tumors, EphA5 expression was analyzed by real-time PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. EphA5 mRNA expression was downregulated in 28 of 45 (62.2%) prostate cancer samples and in 2 of 39 (5.1%) BPH samples (Table 2). Among the 23 paired prostate carcinoma specimens, 15 (65.2%) tumor tissues exhibited the downregulation of EphA5 when compared with their respectively matched noncancerous tissues (Additional file 1: Table S1).Table 2\nCorrelation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients\nMethylationp-value1mRNA expressionp-value1PresentAbsentNormalReducedAge (years)≤701870.8838170.371>70146911PSA (ng/ml)≤10630.742270.537>1026101521Stage (TNM)T1-T2670.019760.156T3-T42661022Gleason score6-712100.01612100.0238-10203518Prostate volume (ml)≤502470.16511200.637>508668Normal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed).\n\nCorrelation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients\n\nNormal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed).\nTo further validate the expression of EphA5 in human PCa tissue, we also analysed 4 BPH tissues, 5 primary prostate tumors tissues and 4 paired normal tissues in our study by Western blotting assay. Similar to the results of qRT–PCR in the corresponding tissues, EphA5 protein level in prostate tumour samples was significantly lower than that of matched adjacent normal tissues or BPH tissues (Figure 2).Figure 2Western blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia.\nWestern blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia.", "To determine the potential mechanism of EphA5 downregulation in prostate cancer, we analyzed the EphA5 gene 5′ regulatory region. We found a CpG island encompassing the transcription start site (TSS) of EphA5. Then, methylation-specific PCR (MSP-PCR) was performed to examine the methylation status of each of the cell lines. Methylated DNA was detected in all six prostate cancer cell lines, whereas the hypermethylation of EphA5 gene was not detected in nonmalignant RWPE-1 cells (Figure 3A). In addition, both methylated and unmethylated sequences were observed in the PC-3 cell line, indicating partial methylation.Figure 3Methylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides.\nMethylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides.\nTo determine whether EphA5 hypermethylation also occurs in primary prostate tumors, the methylation status of EphA5 was determined by MSP-PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. The frequency of EphA5 promoter methylation was significantly higher in prostate cancer samples (32 of 45, 71.1%) than in BPH tissue samples (5 of 39, 12.8%; p < 0.01) and paired noncancerous tissues (2 of 23, 8.7%; p < 0.01). Of these 32 methylated prostate cancer samples, EphA5 expression was markedly downregulated in 25 samples. The correlation between EphA5 expression and hypermethylation of the CpG island was significant (p = 0.001). Among the 23 paired prostate carcinoma specimens, the hypermethylation of EphA5 was detected in 69.6% (16/23) prostate carcinoma tissues. Of these 16 prostate cancer samples, 15(93.8%) exhibited the downregulation of EphA5 expression than that of their respectively matched noncancerous tissues, implying that the hypermethylation of EphA5 was significantly correlated with the downregulation of EphA5 (p < 0.01) (Additional file 1: Table S1). The unmethylated form of EphA5, which was present in all samples, is likely due to the inherent contamination with normal (nonmalignant) cells or partial methylation. Representative results from MSP–PCR analyses in prostate tissue are shown in Figure 4A.Figure 4Methylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides.\nMethylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides.\nTo further verify the MSP-PCR results, we subjected all of the cell lines and randomly selected tissue samples to bisulfite sequencing. We analyzed a 406 bp segment of the EphA5 gene 5′ regulatory region (−103 to +303 bp; TSS, +1 bp), which includes 38 CpG sites and spans the core promoter, exon 1, and part of intron 1 (Figure 3B). Similar to the MSP-PCR results, the CpG sites were hypermethylated in all six tumor cell lines (LNCaP, LNCap-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145), and in some of the prostate carcinoma and hyperplasia specimens (Figures 3C and 4B). Representative examples displaying frequent, localized methylation at the CpG island for all six prostate tumor cell lines and a prostate carcinoma sample (T24) are shown in Figure 3D. Additionally, the lack of methylation in the RWPE-1 nonmalignant cell line and a noncancerous prostate sample (N1) are shown in Figure 4C.", "To further verify the expression of EphA5 in human prostate tumors, we examined its expression via immunohistochemistry in 13 paired prostate carcinomas and noncancerous tissues. Strong immunostaining of the EphA5 protein was observed in the cytoplasm of all 13 paired noncancerous tissues. Among the 13 prostate carcinoma specimens, 10 (76.9%) exhibited undetectable or weak immunostaining. Of these 10 tumor tissues, hypermethylation was present in 8 samples (80.0%). There was a strongly negative correlation between promoter hypermethylation of the EphA5 gene and EphA5 protein expression (p = 0.012). Representative examples displaying positive EphA5 protein immunostaining in a noncancerous prostate sample, weak EphA5 protein immunostaining in a low-grade prostate cancer specimen (Gleason score = 7) and negative EphA5 protein immunostaining in a high-grade prostate carcinoma sample (Gleason score = 9) are shown in Figure 5.Figure 5Representatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm).\nRepresentatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm).", "To determine whether the inhibition of cytosine methylation could induce EphA5 mRNA expression in cell lines with hypermethylated CpG islands, we treated all of the cell lines with the cytosine methylation inhibitor 5-aza-2′-deoxycytidine (5 μmol/L, 48 h). Compared with untreated cells, the EphA5 mRNA level was significantly increased in LNCaP (36.7 ± 5.9-fold, p = 0.0021), LNCaP-LN3 (40.6 ± 4.4-fold, p = 0.0001), PC-3 (12.7 ± 3.7-fold, p = 0.0018), PC-3M-LN4 (33.6 ± 7.3-fold, p = 0.0041), CWR22rv-1 (39.1 ± 4.8-fold, p = 0.0063), and DU145 (42.9 ± 9.8-fold, p = 0.0039) cells. However, there was no significant enhancement of EphA5 mRNA levels in the RWPE-1 nonmalignant cells following 5-aza-2′-deoxycytidine treatment for 48 h (Figure 6). These results suggest that DNA hypermethylation is involved in EphA5 gene silencing in prostate cancer cell lines.Figure 6EphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours.\nEphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours.", "We analyzed various patient clinicopathologic parameters in relation to the downregulation and methylation of EphA5. EphA5 expression differences were not correlated with median age (p = 0.371), TNM stage (p = 0.156), PSA serum concentration (p = 0.537) or prostate volume (p = 0.637). However, the low Gleason score group (Gleason score: 6-7) had significantly higher expression of EphA5 than the high Gleason score group (Gleason score: 8-10) (45.5% vs. 78.3%; p = 0.023). Significant correlations were observed between the frequency of EphA5 methylation and TNM staging (p = 0.019) and Gleason score (p = 0.016). However, no significant difference between the Gleason score 7 (3 + 4) group and the Gleason score 7 (4 + 3) group was observed about the expression of EphA5 and the hypermethylation of EphA5 (data not shown). No correlation between the occurrence of EphA5 hypermethylation and prostate-specific antigen (PSA) levels and prostate volume in prostate carcinoma samples was observed (Table 2).", "To assess the effect of EphA5 expression on invasion and migration, we transiently infected Du145 cells lacking expression of EphA5 with plasmid expressing pCMV6-AC-GFP or pCMV6-AC-GFP-EphA5 and generated stably transfected cells using G418 selection. Western blotting analysis demonstrated that EphA5 was over-expressed in DU145 cells transfected with pCMV6-AC-GFP-EphA5 (Figure 7A). The wound healing assay demonstrated that the wound-closure rate of pCMV6-AC-GFP-EphA5 cells decreased by 33.7% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7C). The transwell assay showed that the number of invasive cells in pCMV6-AC-GFP-EphA5 cells decreased by 38.1% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7B). These data implied that EphA5 expression inhibited cell migration and invasion in vitro.Figure 7EphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group.\nEphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Cell culture", "Patients and tissues", "Gene expression analysis by real-time PCR", "Methylation-specific PCR", "Bisulfite genomic sequencing", "Western blot analysis", "Immunohistochemistry (IHC) and Imaging", "Scratch migration assay and Invasion assay", "Statistics", "Results", "Down-regulation of EphA5 in prostate cancer", "Methylation status of EphA5 in prostate cancer", "Immunohistochemical expression of EphA5", "Restoration of EphA5 gene expression by treatment with 5-aza-2′-deoxycytidine", "Correlation between the mRNA expression and methylation of EphA5 and clinicopathologic features", "Overexpression of EphA5 inhibits prostate cancer cell invasion and migration", "Discussion", "Conclusion" ]
[ "Prostate cancer (PCa) is the second most common male malignancy and the sixth leading cause of cancer death in men worldwide [1]. The disease burden is anticipated to grow to 1.7 million new cases and 499,000 deaths by 2030 simply due to the expansion and aging of the global population [2]. Understanding the molecular mechanisms that regulate initiation and progression of PCa is crucial for improving early diagnosis, developing rational therapies, and predicting patient prognosis [3,4]. However, the current information that is available and that can be applied in clinical practice is limited [3,4]. Therefore, the identification of new molecular alterations involved in the initiation and progression of this devastating disease will likely lead to fewer cases of prostate cancer and fewer deaths from the disease.\nEph receptors represent the largest family of receptor tyrosine kinases (RTK) and include 14 human type 1 transmembrane protein members [5,6]. According to sequence homologies and ligand-binding affinities, Eph receptors and their ephrin ligands are divided into the following two subgroups: class A and class B [6]. Eph receptors share a common protein structure, including an extracellular domain (consisting of a globular domain, a cysteine-rich domain, and two fibronectin type III repeats domains), a transmembrane portion and an intracellular domain (consisting of a tyrosine kinase domain, a sterile alpha motif [SAM] and a PDZ binding domain) [7]. The aberrant methylation of CpG island promoter regions of Eph receptor genes is frequently observed during the development of many types of cancers, particularly prostate cancer [8-15].\nEphA5, located on chromosome 4q13.1, is a member of the Eph receptor family. In common with other members of the Eph subgroup, EphA5 plays a critical role in the regulation of carcinogenesis and cancer progression [14,15]. Interestingly, a recent transcriptomic analysis revealed that the EphA5 gene is downregulated in radical prostatectomy patients with high grade PCa with a Gleason score of 8,suggesting that EphA5 plays a crucial role in prostate cancer progression [16]. However, the function of EphA5 and its clinical significance in prostate cancer has never been addressed. Here, we demonstrated that EphA5 is frequently downregulated in patients with prostate cancer. Furthermore, we explored the mechanism responsible for the downregulation of EphA5 and investigated its biological function and the association between EphA5 alterations and clinical characteristics of these patients.", " Cell culture The RWPE-1, PC-3 and Du145 cell lines were purchased from the Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences (Shanghai, China). The LNCap, LNCap-LN3, PC-3M-LN4, and CWR22rv-1 cell lines were kindly provided by Dr. Zhang (Biomedical Research Institute, Shenzhen PKU-HKUST Medical Center, Shenzhen, China). All of the cell lines were cultured in RPMI 1640 medium (HyClone, Logan, UT) containing 10% fetal bovine serum, penicillin (100 U/ml) and streptomycin (100 U/ml) in a 5% CO2 atmosphere at 37°C.\nCells were seeded at a density of 5 × 104 cells per square centimeter in a 6-well plate. After 36 hours of incubation, fresh culture medium with or without demethylating agent 5-aza-2′-deoxycytidine was added (5 μmol/L, Sigma-Aldrich, USA); cells were then incubated for an additional 48 hours.\nThe RWPE-1, PC-3 and Du145 cell lines were purchased from the Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences (Shanghai, China). The LNCap, LNCap-LN3, PC-3M-LN4, and CWR22rv-1 cell lines were kindly provided by Dr. Zhang (Biomedical Research Institute, Shenzhen PKU-HKUST Medical Center, Shenzhen, China). All of the cell lines were cultured in RPMI 1640 medium (HyClone, Logan, UT) containing 10% fetal bovine serum, penicillin (100 U/ml) and streptomycin (100 U/ml) in a 5% CO2 atmosphere at 37°C.\nCells were seeded at a density of 5 × 104 cells per square centimeter in a 6-well plate. After 36 hours of incubation, fresh culture medium with or without demethylating agent 5-aza-2′-deoxycytidine was added (5 μmol/L, Sigma-Aldrich, USA); cells were then incubated for an additional 48 hours.\n Patients and tissues All tissue specimens were obtained between March 2013 and December 2013 at the Urology Department of Huashan Hospital (Shanghai, China). Benign prostate hyperplasia (BPH) samples (39) and some of the prostate carcinoma (22) samples were collected from patients undergoing prostate needle biopsies, and 23 paired noncancerous and tumor tissue samples were obtained from patients following radical prostatectomy. Paired normal specimen was obtained from an area that was at least 1cm away from any cancerous tissue and did not contain either cancer cells or premalignant tissue morphologically by histological examination of sequential sections. All of the cancer samples were histologically confirmed to contain greater than 80% tumor cells. Staging was assessed after pathological examination of formalin-fixed specimens according to the 1997 TNM classification system. Written consents were obtained from all subjects and the study protocol was approved by the Ethics Committee of Huashan Hospital. Clinical and biological data from the patients are listed in Table 1.Table 1\nPatient clinical and histological characteristics\nProstate cancer (%)BPH (%)Case, n4539Age (mean ± SD, years)69.5 ± 10.363.6 ± 9.1TNMT11 (2.2)T212 (26.7)T314 (31.1)T418 (40.0)Gleason score6-722 (48.9)8-1023 (51.1)PSA (ng/ml)<4.02 (4.4)4 (10.3)4.0–10.07 (15.6)21 (53.8)>10.036 (80.0)14 (35.9)Prostate volume (ml)<3014 (31.1)8 (20.5)30–5017 (37.8)12 (30.8)>5014 (31.1)19 (48.7)\n\nPatient clinical and histological characteristics\n\nAll tissue specimens were obtained between March 2013 and December 2013 at the Urology Department of Huashan Hospital (Shanghai, China). Benign prostate hyperplasia (BPH) samples (39) and some of the prostate carcinoma (22) samples were collected from patients undergoing prostate needle biopsies, and 23 paired noncancerous and tumor tissue samples were obtained from patients following radical prostatectomy. Paired normal specimen was obtained from an area that was at least 1cm away from any cancerous tissue and did not contain either cancer cells or premalignant tissue morphologically by histological examination of sequential sections. All of the cancer samples were histologically confirmed to contain greater than 80% tumor cells. Staging was assessed after pathological examination of formalin-fixed specimens according to the 1997 TNM classification system. Written consents were obtained from all subjects and the study protocol was approved by the Ethics Committee of Huashan Hospital. Clinical and biological data from the patients are listed in Table 1.Table 1\nPatient clinical and histological characteristics\nProstate cancer (%)BPH (%)Case, n4539Age (mean ± SD, years)69.5 ± 10.363.6 ± 9.1TNMT11 (2.2)T212 (26.7)T314 (31.1)T418 (40.0)Gleason score6-722 (48.9)8-1023 (51.1)PSA (ng/ml)<4.02 (4.4)4 (10.3)4.0–10.07 (15.6)21 (53.8)>10.036 (80.0)14 (35.9)Prostate volume (ml)<3014 (31.1)8 (20.5)30–5017 (37.8)12 (30.8)>5014 (31.1)19 (48.7)\n\nPatient clinical and histological characteristics\n\n Gene expression analysis by real-time PCR Total RNA was extracted from cells and tissues using the AllPrep DNA/RNA/Protein Mini Kit (Qiagen, Germany), and samples were reverse transcribed using the PrimScriptTM RT Reagent Kit (TaKaRa, China) as described in the manufacturer’s protocol. Real-time PCR to determine EphA5 and GAPDH mRNA levels was performed using the QuantiFast Probe PCR Kit (Qiagen, Germany) according to the manufacturer’s instructions; all analyses were conducted using the ABI Prism 7500 sequence detection system (Applied Biosystems, CA). The relative quantification of EphA5 mRNA levels was performed using the comparative Ct method (2-△△Ct method) with GAPDH as the reference gene. Increases or decreases in mRNA levels of at least two fold were considered to be significant. The primer sequences were as follows: EphA5 forward, 5’-TCTGTGGTACGACACTTGGC-3’; EphA5 reverse, 5’-CTTGCACATGCATTTCCCGA-3’; GAPDH forward, 5’-GAGAAGGCTGGGGCTCATTT-3’; GAPDH reverse, 5’-AGTGATGGCATGGACTGTGG-3’.\nTotal RNA was extracted from cells and tissues using the AllPrep DNA/RNA/Protein Mini Kit (Qiagen, Germany), and samples were reverse transcribed using the PrimScriptTM RT Reagent Kit (TaKaRa, China) as described in the manufacturer’s protocol. Real-time PCR to determine EphA5 and GAPDH mRNA levels was performed using the QuantiFast Probe PCR Kit (Qiagen, Germany) according to the manufacturer’s instructions; all analyses were conducted using the ABI Prism 7500 sequence detection system (Applied Biosystems, CA). The relative quantification of EphA5 mRNA levels was performed using the comparative Ct method (2-△△Ct method) with GAPDH as the reference gene. Increases or decreases in mRNA levels of at least two fold were considered to be significant. The primer sequences were as follows: EphA5 forward, 5’-TCTGTGGTACGACACTTGGC-3’; EphA5 reverse, 5’-CTTGCACATGCATTTCCCGA-3’; GAPDH forward, 5’-GAGAAGGCTGGGGCTCATTT-3’; GAPDH reverse, 5’-AGTGATGGCATGGACTGTGG-3’.\n Methylation-specific PCR Genomic DNA was isolated from cells and tissues using the AllPrep DNA/RNA/Protein Mini Kit (Qiagen, German) and modified using the EZ DNA Methylation-Gold Kit (ZYMO Research Co, Orange, CA) according to the manufacturer’s instructions. To identify aberrant methylation of the EphA5 gene, the modified DNA was amplified using primers specific for the methylated sequence (MSP, forward primer: 5′-ATTGAGTCGTTCGGGATAGC-3′ and reverse primer: 5′-GTCGAAATACAAAATAACAACCGA-3′) and primers specific for the unmethylated sequence (USP, forward primer: 5′-GATTGAGTTGTTTGGGATAGTGG-3′ and reverse primer: 5′-CCATCAAAATACAAAATAACAACCA-3′) using TaKaRa HotStarTaq DNA polymerase [15]. Amplicons were separated on 3% agarose gels and visualized under ultraviolet illumination.\nGenomic DNA was isolated from cells and tissues using the AllPrep DNA/RNA/Protein Mini Kit (Qiagen, German) and modified using the EZ DNA Methylation-Gold Kit (ZYMO Research Co, Orange, CA) according to the manufacturer’s instructions. To identify aberrant methylation of the EphA5 gene, the modified DNA was amplified using primers specific for the methylated sequence (MSP, forward primer: 5′-ATTGAGTCGTTCGGGATAGC-3′ and reverse primer: 5′-GTCGAAATACAAAATAACAACCGA-3′) and primers specific for the unmethylated sequence (USP, forward primer: 5′-GATTGAGTTGTTTGGGATAGTGG-3′ and reverse primer: 5′-CCATCAAAATACAAAATAACAACCA-3′) using TaKaRa HotStarTaq DNA polymerase [15]. Amplicons were separated on 3% agarose gels and visualized under ultraviolet illumination.\n Bisulfite genomic sequencing The sodium bisulfite-modified DNA was amplified via PCR using the following primers: Bis-EphA5-F (5′-TGGTTTTTATATTTGGAGGAGT-3′) and Bis-EphA5-R (5′-AAAACCTAAACTCCCAAACC-3′) [15]. PCR products were purified using the QIAquick PCR Purification Kit (Qiagen; Valencia, CA), subcloned into the pMD19-T vector (TaKaRa), transformed into E. coli (DH5-alpha) and grown on LB agar plates containing kanamycin with X-gal/IPTG for blue/white selection. To detect the methylation status of the EphA5 promoter, six isolated colonies from each plate were picked, sequenced and analyzed using an ABI 3730 DNA Sequencer (Applied Biosystems).\nThe sodium bisulfite-modified DNA was amplified via PCR using the following primers: Bis-EphA5-F (5′-TGGTTTTTATATTTGGAGGAGT-3′) and Bis-EphA5-R (5′-AAAACCTAAACTCCCAAACC-3′) [15]. PCR products were purified using the QIAquick PCR Purification Kit (Qiagen; Valencia, CA), subcloned into the pMD19-T vector (TaKaRa), transformed into E. coli (DH5-alpha) and grown on LB agar plates containing kanamycin with X-gal/IPTG for blue/white selection. To detect the methylation status of the EphA5 promoter, six isolated colonies from each plate were picked, sequenced and analyzed using an ABI 3730 DNA Sequencer (Applied Biosystems).\n Western blot analysis Total protein was extracted from prostate tissue and cell lines using radioimmunoprecipitation assay (RIPA) buffer, and protein concentrations were determined using the BCA Protein Reagent Kit (Beyotime, China) according to the manufacturer's instructions. Proteins (100 μg) were separated via SDS-PAGE on an 8% gel, transferred to a polyvinylidene fluoride membrane, and incubated with the following antibodies: rabbit anti-EphA5 (1:500, Abcam, CA) and mouse anti-beta-actin (1:1000, Santa Cruz, CA) overnight at 4°C. After washing, the membranes were incubated with HRP-conjugated goat polyclonal secondary antibodies to mouse IgG and rabbit IgG (1:5000, Abcam, CA) for 2 h and visualized with enhanced chemiluminescent substrate (Millipore, CA). Then, immunoreactive bands were quantified using the LAS-3000 system (Fuji Film, Japan).\nTotal protein was extracted from prostate tissue and cell lines using radioimmunoprecipitation assay (RIPA) buffer, and protein concentrations were determined using the BCA Protein Reagent Kit (Beyotime, China) according to the manufacturer's instructions. Proteins (100 μg) were separated via SDS-PAGE on an 8% gel, transferred to a polyvinylidene fluoride membrane, and incubated with the following antibodies: rabbit anti-EphA5 (1:500, Abcam, CA) and mouse anti-beta-actin (1:1000, Santa Cruz, CA) overnight at 4°C. After washing, the membranes were incubated with HRP-conjugated goat polyclonal secondary antibodies to mouse IgG and rabbit IgG (1:5000, Abcam, CA) for 2 h and visualized with enhanced chemiluminescent substrate (Millipore, CA). Then, immunoreactive bands were quantified using the LAS-3000 system (Fuji Film, Japan).\n Immunohistochemistry (IHC) and Imaging Tissues were fixed in 4% formalin, embedded in paraffin and sectioned at a thickness of 4 microns. Sections were deparaffinized in several xylene washes and then rehydrated in graded alcohols. The sections were permeabilized in citrate buffer (pH 6.0, Maixin) for 10 min and then incubated with normal goat serum for 1 h. Next, the sections were incubated with rabbit anti-EphA5 polyclonal antibody (dilution 1:1000, Abcam, CA) for 1 h at 37°C and then stained using an HRP-conjugated secondary antibody (Dako, UK) for 1 h at room temperature. Finally, the sections were incubated and stained with DAB substrate and hematoxylin, scanned with an Olympus BX53 microscope and photographed using the Cellsens Entry software (Olympus). EphA5 expression was classified as negative if less than 5% of the tumor cells were positive for EphA5 staining and classified as positive if more than 5% of the tumor cells were positive for EphA5 staining.\nTissues were fixed in 4% formalin, embedded in paraffin and sectioned at a thickness of 4 microns. Sections were deparaffinized in several xylene washes and then rehydrated in graded alcohols. The sections were permeabilized in citrate buffer (pH 6.0, Maixin) for 10 min and then incubated with normal goat serum for 1 h. Next, the sections were incubated with rabbit anti-EphA5 polyclonal antibody (dilution 1:1000, Abcam, CA) for 1 h at 37°C and then stained using an HRP-conjugated secondary antibody (Dako, UK) for 1 h at room temperature. Finally, the sections were incubated and stained with DAB substrate and hematoxylin, scanned with an Olympus BX53 microscope and photographed using the Cellsens Entry software (Olympus). EphA5 expression was classified as negative if less than 5% of the tumor cells were positive for EphA5 staining and classified as positive if more than 5% of the tumor cells were positive for EphA5 staining.\n Scratch migration assay and Invasion assay For evaluation the EphA5 function,we obtained the Du145 derivative cell lines that stably overexpressed EphA5 via transfection of pCMV6-AC-GFP-EphA5 plasmid (Cat No. RG213206, Origene, CA) according to the manufacturer’s protocol. Du145 cell transfected with pCMV6-AC-GFP empty plasmid (Cat No. PS100010, Origene, CA) empty vector were used as the control.\nFor scratch migration assay, cells were cultured in 24-well plates until confluence. The monolayer was scratched with a sterile 200 μl pipette tip to create a denuded area of constant width. The wound closure was monitored and photographed before and 24 hours after wounding.\nFor the Matrigel invasion assay, 1 × 105 cells were seeded into the upper compartment of the insert with Matrigel (BD Biosciences, Woburn, Mass) in serum-free growth medium. Then, the upper chamber were placed into 24-well culture dishes containing 600 μl of complete growth medium. After 48h of incubation at 37°C, cells in the upper chamber were subsequently removed with cotton swabs and then stained with a solution containing 0.1% crystal violet and 4% formaldehyde. The number of cells that fixed on the bottom membrane of the inserts was counted.\nFor evaluation the EphA5 function,we obtained the Du145 derivative cell lines that stably overexpressed EphA5 via transfection of pCMV6-AC-GFP-EphA5 plasmid (Cat No. RG213206, Origene, CA) according to the manufacturer’s protocol. Du145 cell transfected with pCMV6-AC-GFP empty plasmid (Cat No. PS100010, Origene, CA) empty vector were used as the control.\nFor scratch migration assay, cells were cultured in 24-well plates until confluence. The monolayer was scratched with a sterile 200 μl pipette tip to create a denuded area of constant width. The wound closure was monitored and photographed before and 24 hours after wounding.\nFor the Matrigel invasion assay, 1 × 105 cells were seeded into the upper compartment of the insert with Matrigel (BD Biosciences, Woburn, Mass) in serum-free growth medium. Then, the upper chamber were placed into 24-well culture dishes containing 600 μl of complete growth medium. After 48h of incubation at 37°C, cells in the upper chamber were subsequently removed with cotton swabs and then stained with a solution containing 0.1% crystal violet and 4% formaldehyde. The number of cells that fixed on the bottom membrane of the inserts was counted.\n Statistics A two-tailed Student's t-test was used to compare various groups to assess statistical significance. The differences in gene expression levels between prostate cancer samples and noncancerous prostate tissue specimens were analyzed using a chi-squared test. All statistical analyses were performed using the SPSS 11.0 software. P < 0.05 was considered to be statistically significant.\nA two-tailed Student's t-test was used to compare various groups to assess statistical significance. The differences in gene expression levels between prostate cancer samples and noncancerous prostate tissue specimens were analyzed using a chi-squared test. All statistical analyses were performed using the SPSS 11.0 software. P < 0.05 was considered to be statistically significant.", "The RWPE-1, PC-3 and Du145 cell lines were purchased from the Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences (Shanghai, China). The LNCap, LNCap-LN3, PC-3M-LN4, and CWR22rv-1 cell lines were kindly provided by Dr. Zhang (Biomedical Research Institute, Shenzhen PKU-HKUST Medical Center, Shenzhen, China). All of the cell lines were cultured in RPMI 1640 medium (HyClone, Logan, UT) containing 10% fetal bovine serum, penicillin (100 U/ml) and streptomycin (100 U/ml) in a 5% CO2 atmosphere at 37°C.\nCells were seeded at a density of 5 × 104 cells per square centimeter in a 6-well plate. After 36 hours of incubation, fresh culture medium with or without demethylating agent 5-aza-2′-deoxycytidine was added (5 μmol/L, Sigma-Aldrich, USA); cells were then incubated for an additional 48 hours.", "All tissue specimens were obtained between March 2013 and December 2013 at the Urology Department of Huashan Hospital (Shanghai, China). Benign prostate hyperplasia (BPH) samples (39) and some of the prostate carcinoma (22) samples were collected from patients undergoing prostate needle biopsies, and 23 paired noncancerous and tumor tissue samples were obtained from patients following radical prostatectomy. Paired normal specimen was obtained from an area that was at least 1cm away from any cancerous tissue and did not contain either cancer cells or premalignant tissue morphologically by histological examination of sequential sections. All of the cancer samples were histologically confirmed to contain greater than 80% tumor cells. Staging was assessed after pathological examination of formalin-fixed specimens according to the 1997 TNM classification system. Written consents were obtained from all subjects and the study protocol was approved by the Ethics Committee of Huashan Hospital. Clinical and biological data from the patients are listed in Table 1.Table 1\nPatient clinical and histological characteristics\nProstate cancer (%)BPH (%)Case, n4539Age (mean ± SD, years)69.5 ± 10.363.6 ± 9.1TNMT11 (2.2)T212 (26.7)T314 (31.1)T418 (40.0)Gleason score6-722 (48.9)8-1023 (51.1)PSA (ng/ml)<4.02 (4.4)4 (10.3)4.0–10.07 (15.6)21 (53.8)>10.036 (80.0)14 (35.9)Prostate volume (ml)<3014 (31.1)8 (20.5)30–5017 (37.8)12 (30.8)>5014 (31.1)19 (48.7)\n\nPatient clinical and histological characteristics\n", "Total RNA was extracted from cells and tissues using the AllPrep DNA/RNA/Protein Mini Kit (Qiagen, Germany), and samples were reverse transcribed using the PrimScriptTM RT Reagent Kit (TaKaRa, China) as described in the manufacturer’s protocol. Real-time PCR to determine EphA5 and GAPDH mRNA levels was performed using the QuantiFast Probe PCR Kit (Qiagen, Germany) according to the manufacturer’s instructions; all analyses were conducted using the ABI Prism 7500 sequence detection system (Applied Biosystems, CA). The relative quantification of EphA5 mRNA levels was performed using the comparative Ct method (2-△△Ct method) with GAPDH as the reference gene. Increases or decreases in mRNA levels of at least two fold were considered to be significant. The primer sequences were as follows: EphA5 forward, 5’-TCTGTGGTACGACACTTGGC-3’; EphA5 reverse, 5’-CTTGCACATGCATTTCCCGA-3’; GAPDH forward, 5’-GAGAAGGCTGGGGCTCATTT-3’; GAPDH reverse, 5’-AGTGATGGCATGGACTGTGG-3’.", "Genomic DNA was isolated from cells and tissues using the AllPrep DNA/RNA/Protein Mini Kit (Qiagen, German) and modified using the EZ DNA Methylation-Gold Kit (ZYMO Research Co, Orange, CA) according to the manufacturer’s instructions. To identify aberrant methylation of the EphA5 gene, the modified DNA was amplified using primers specific for the methylated sequence (MSP, forward primer: 5′-ATTGAGTCGTTCGGGATAGC-3′ and reverse primer: 5′-GTCGAAATACAAAATAACAACCGA-3′) and primers specific for the unmethylated sequence (USP, forward primer: 5′-GATTGAGTTGTTTGGGATAGTGG-3′ and reverse primer: 5′-CCATCAAAATACAAAATAACAACCA-3′) using TaKaRa HotStarTaq DNA polymerase [15]. Amplicons were separated on 3% agarose gels and visualized under ultraviolet illumination.", "The sodium bisulfite-modified DNA was amplified via PCR using the following primers: Bis-EphA5-F (5′-TGGTTTTTATATTTGGAGGAGT-3′) and Bis-EphA5-R (5′-AAAACCTAAACTCCCAAACC-3′) [15]. PCR products were purified using the QIAquick PCR Purification Kit (Qiagen; Valencia, CA), subcloned into the pMD19-T vector (TaKaRa), transformed into E. coli (DH5-alpha) and grown on LB agar plates containing kanamycin with X-gal/IPTG for blue/white selection. To detect the methylation status of the EphA5 promoter, six isolated colonies from each plate were picked, sequenced and analyzed using an ABI 3730 DNA Sequencer (Applied Biosystems).", "Total protein was extracted from prostate tissue and cell lines using radioimmunoprecipitation assay (RIPA) buffer, and protein concentrations were determined using the BCA Protein Reagent Kit (Beyotime, China) according to the manufacturer's instructions. Proteins (100 μg) were separated via SDS-PAGE on an 8% gel, transferred to a polyvinylidene fluoride membrane, and incubated with the following antibodies: rabbit anti-EphA5 (1:500, Abcam, CA) and mouse anti-beta-actin (1:1000, Santa Cruz, CA) overnight at 4°C. After washing, the membranes were incubated with HRP-conjugated goat polyclonal secondary antibodies to mouse IgG and rabbit IgG (1:5000, Abcam, CA) for 2 h and visualized with enhanced chemiluminescent substrate (Millipore, CA). Then, immunoreactive bands were quantified using the LAS-3000 system (Fuji Film, Japan).", "Tissues were fixed in 4% formalin, embedded in paraffin and sectioned at a thickness of 4 microns. Sections were deparaffinized in several xylene washes and then rehydrated in graded alcohols. The sections were permeabilized in citrate buffer (pH 6.0, Maixin) for 10 min and then incubated with normal goat serum for 1 h. Next, the sections were incubated with rabbit anti-EphA5 polyclonal antibody (dilution 1:1000, Abcam, CA) for 1 h at 37°C and then stained using an HRP-conjugated secondary antibody (Dako, UK) for 1 h at room temperature. Finally, the sections were incubated and stained with DAB substrate and hematoxylin, scanned with an Olympus BX53 microscope and photographed using the Cellsens Entry software (Olympus). EphA5 expression was classified as negative if less than 5% of the tumor cells were positive for EphA5 staining and classified as positive if more than 5% of the tumor cells were positive for EphA5 staining.", "For evaluation the EphA5 function,we obtained the Du145 derivative cell lines that stably overexpressed EphA5 via transfection of pCMV6-AC-GFP-EphA5 plasmid (Cat No. RG213206, Origene, CA) according to the manufacturer’s protocol. Du145 cell transfected with pCMV6-AC-GFP empty plasmid (Cat No. PS100010, Origene, CA) empty vector were used as the control.\nFor scratch migration assay, cells were cultured in 24-well plates until confluence. The monolayer was scratched with a sterile 200 μl pipette tip to create a denuded area of constant width. The wound closure was monitored and photographed before and 24 hours after wounding.\nFor the Matrigel invasion assay, 1 × 105 cells were seeded into the upper compartment of the insert with Matrigel (BD Biosciences, Woburn, Mass) in serum-free growth medium. Then, the upper chamber were placed into 24-well culture dishes containing 600 μl of complete growth medium. After 48h of incubation at 37°C, cells in the upper chamber were subsequently removed with cotton swabs and then stained with a solution containing 0.1% crystal violet and 4% formaldehyde. The number of cells that fixed on the bottom membrane of the inserts was counted.", "A two-tailed Student's t-test was used to compare various groups to assess statistical significance. The differences in gene expression levels between prostate cancer samples and noncancerous prostate tissue specimens were analyzed using a chi-squared test. All statistical analyses were performed using the SPSS 11.0 software. P < 0.05 was considered to be statistically significant.", " Down-regulation of EphA5 in prostate cancer To explore the potential role of EphA5 in prostate carcinogenesis, we first analyzed its expression by real-time PCR in a panel of human nonmalignant (RWPE-1) and prostate cancer (LNCaP, LNCaP-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145) cell lines. EphA5 mRNA expression was significantly decreased in all six prostate cancer cell lines compared to the nonmalignant RWPE-1 cells (Figure 1A). In addition, we also observed that EphA5 gene expression was decreased consistently and significantly in both lymph node derivative cell lines compared to their parental prostate cancer cells LNCaP and PC-3 (Figure 1A). We further investigated the EphA5 protein levels by Western blotting analyses in these cell lines. The protein levels were consistent with the respective mRNA levels for the various cell lines (Figure 1B).Figure 1qRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line.\nqRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line.\nTo determine whether epigenetic silencing of the EphA5 gene also occurs in primary prostate tumors, EphA5 expression was analyzed by real-time PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. EphA5 mRNA expression was downregulated in 28 of 45 (62.2%) prostate cancer samples and in 2 of 39 (5.1%) BPH samples (Table 2). Among the 23 paired prostate carcinoma specimens, 15 (65.2%) tumor tissues exhibited the downregulation of EphA5 when compared with their respectively matched noncancerous tissues (Additional file 1: Table S1).Table 2\nCorrelation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients\nMethylationp-value1mRNA expressionp-value1PresentAbsentNormalReducedAge (years)≤701870.8838170.371>70146911PSA (ng/ml)≤10630.742270.537>1026101521Stage (TNM)T1-T2670.019760.156T3-T42661022Gleason score6-712100.01612100.0238-10203518Prostate volume (ml)≤502470.16511200.637>508668Normal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed).\n\nCorrelation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients\n\nNormal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed).\nTo further validate the expression of EphA5 in human PCa tissue, we also analysed 4 BPH tissues, 5 primary prostate tumors tissues and 4 paired normal tissues in our study by Western blotting assay. Similar to the results of qRT–PCR in the corresponding tissues, EphA5 protein level in prostate tumour samples was significantly lower than that of matched adjacent normal tissues or BPH tissues (Figure 2).Figure 2Western blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia.\nWestern blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia.\nTo explore the potential role of EphA5 in prostate carcinogenesis, we first analyzed its expression by real-time PCR in a panel of human nonmalignant (RWPE-1) and prostate cancer (LNCaP, LNCaP-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145) cell lines. EphA5 mRNA expression was significantly decreased in all six prostate cancer cell lines compared to the nonmalignant RWPE-1 cells (Figure 1A). In addition, we also observed that EphA5 gene expression was decreased consistently and significantly in both lymph node derivative cell lines compared to their parental prostate cancer cells LNCaP and PC-3 (Figure 1A). We further investigated the EphA5 protein levels by Western blotting analyses in these cell lines. The protein levels were consistent with the respective mRNA levels for the various cell lines (Figure 1B).Figure 1qRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line.\nqRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line.\nTo determine whether epigenetic silencing of the EphA5 gene also occurs in primary prostate tumors, EphA5 expression was analyzed by real-time PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. EphA5 mRNA expression was downregulated in 28 of 45 (62.2%) prostate cancer samples and in 2 of 39 (5.1%) BPH samples (Table 2). Among the 23 paired prostate carcinoma specimens, 15 (65.2%) tumor tissues exhibited the downregulation of EphA5 when compared with their respectively matched noncancerous tissues (Additional file 1: Table S1).Table 2\nCorrelation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients\nMethylationp-value1mRNA expressionp-value1PresentAbsentNormalReducedAge (years)≤701870.8838170.371>70146911PSA (ng/ml)≤10630.742270.537>1026101521Stage (TNM)T1-T2670.019760.156T3-T42661022Gleason score6-712100.01612100.0238-10203518Prostate volume (ml)≤502470.16511200.637>508668Normal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed).\n\nCorrelation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients\n\nNormal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed).\nTo further validate the expression of EphA5 in human PCa tissue, we also analysed 4 BPH tissues, 5 primary prostate tumors tissues and 4 paired normal tissues in our study by Western blotting assay. Similar to the results of qRT–PCR in the corresponding tissues, EphA5 protein level in prostate tumour samples was significantly lower than that of matched adjacent normal tissues or BPH tissues (Figure 2).Figure 2Western blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia.\nWestern blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia.\n Methylation status of EphA5 in prostate cancer To determine the potential mechanism of EphA5 downregulation in prostate cancer, we analyzed the EphA5 gene 5′ regulatory region. We found a CpG island encompassing the transcription start site (TSS) of EphA5. Then, methylation-specific PCR (MSP-PCR) was performed to examine the methylation status of each of the cell lines. Methylated DNA was detected in all six prostate cancer cell lines, whereas the hypermethylation of EphA5 gene was not detected in nonmalignant RWPE-1 cells (Figure 3A). In addition, both methylated and unmethylated sequences were observed in the PC-3 cell line, indicating partial methylation.Figure 3Methylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides.\nMethylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides.\nTo determine whether EphA5 hypermethylation also occurs in primary prostate tumors, the methylation status of EphA5 was determined by MSP-PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. The frequency of EphA5 promoter methylation was significantly higher in prostate cancer samples (32 of 45, 71.1%) than in BPH tissue samples (5 of 39, 12.8%; p < 0.01) and paired noncancerous tissues (2 of 23, 8.7%; p < 0.01). Of these 32 methylated prostate cancer samples, EphA5 expression was markedly downregulated in 25 samples. The correlation between EphA5 expression and hypermethylation of the CpG island was significant (p = 0.001). Among the 23 paired prostate carcinoma specimens, the hypermethylation of EphA5 was detected in 69.6% (16/23) prostate carcinoma tissues. Of these 16 prostate cancer samples, 15(93.8%) exhibited the downregulation of EphA5 expression than that of their respectively matched noncancerous tissues, implying that the hypermethylation of EphA5 was significantly correlated with the downregulation of EphA5 (p < 0.01) (Additional file 1: Table S1). The unmethylated form of EphA5, which was present in all samples, is likely due to the inherent contamination with normal (nonmalignant) cells or partial methylation. Representative results from MSP–PCR analyses in prostate tissue are shown in Figure 4A.Figure 4Methylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides.\nMethylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides.\nTo further verify the MSP-PCR results, we subjected all of the cell lines and randomly selected tissue samples to bisulfite sequencing. We analyzed a 406 bp segment of the EphA5 gene 5′ regulatory region (−103 to +303 bp; TSS, +1 bp), which includes 38 CpG sites and spans the core promoter, exon 1, and part of intron 1 (Figure 3B). Similar to the MSP-PCR results, the CpG sites were hypermethylated in all six tumor cell lines (LNCaP, LNCap-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145), and in some of the prostate carcinoma and hyperplasia specimens (Figures 3C and 4B). Representative examples displaying frequent, localized methylation at the CpG island for all six prostate tumor cell lines and a prostate carcinoma sample (T24) are shown in Figure 3D. Additionally, the lack of methylation in the RWPE-1 nonmalignant cell line and a noncancerous prostate sample (N1) are shown in Figure 4C.\nTo determine the potential mechanism of EphA5 downregulation in prostate cancer, we analyzed the EphA5 gene 5′ regulatory region. We found a CpG island encompassing the transcription start site (TSS) of EphA5. Then, methylation-specific PCR (MSP-PCR) was performed to examine the methylation status of each of the cell lines. Methylated DNA was detected in all six prostate cancer cell lines, whereas the hypermethylation of EphA5 gene was not detected in nonmalignant RWPE-1 cells (Figure 3A). In addition, both methylated and unmethylated sequences were observed in the PC-3 cell line, indicating partial methylation.Figure 3Methylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides.\nMethylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides.\nTo determine whether EphA5 hypermethylation also occurs in primary prostate tumors, the methylation status of EphA5 was determined by MSP-PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. The frequency of EphA5 promoter methylation was significantly higher in prostate cancer samples (32 of 45, 71.1%) than in BPH tissue samples (5 of 39, 12.8%; p < 0.01) and paired noncancerous tissues (2 of 23, 8.7%; p < 0.01). Of these 32 methylated prostate cancer samples, EphA5 expression was markedly downregulated in 25 samples. The correlation between EphA5 expression and hypermethylation of the CpG island was significant (p = 0.001). Among the 23 paired prostate carcinoma specimens, the hypermethylation of EphA5 was detected in 69.6% (16/23) prostate carcinoma tissues. Of these 16 prostate cancer samples, 15(93.8%) exhibited the downregulation of EphA5 expression than that of their respectively matched noncancerous tissues, implying that the hypermethylation of EphA5 was significantly correlated with the downregulation of EphA5 (p < 0.01) (Additional file 1: Table S1). The unmethylated form of EphA5, which was present in all samples, is likely due to the inherent contamination with normal (nonmalignant) cells or partial methylation. Representative results from MSP–PCR analyses in prostate tissue are shown in Figure 4A.Figure 4Methylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides.\nMethylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides.\nTo further verify the MSP-PCR results, we subjected all of the cell lines and randomly selected tissue samples to bisulfite sequencing. We analyzed a 406 bp segment of the EphA5 gene 5′ regulatory region (−103 to +303 bp; TSS, +1 bp), which includes 38 CpG sites and spans the core promoter, exon 1, and part of intron 1 (Figure 3B). Similar to the MSP-PCR results, the CpG sites were hypermethylated in all six tumor cell lines (LNCaP, LNCap-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145), and in some of the prostate carcinoma and hyperplasia specimens (Figures 3C and 4B). Representative examples displaying frequent, localized methylation at the CpG island for all six prostate tumor cell lines and a prostate carcinoma sample (T24) are shown in Figure 3D. Additionally, the lack of methylation in the RWPE-1 nonmalignant cell line and a noncancerous prostate sample (N1) are shown in Figure 4C.\n Immunohistochemical expression of EphA5 To further verify the expression of EphA5 in human prostate tumors, we examined its expression via immunohistochemistry in 13 paired prostate carcinomas and noncancerous tissues. Strong immunostaining of the EphA5 protein was observed in the cytoplasm of all 13 paired noncancerous tissues. Among the 13 prostate carcinoma specimens, 10 (76.9%) exhibited undetectable or weak immunostaining. Of these 10 tumor tissues, hypermethylation was present in 8 samples (80.0%). There was a strongly negative correlation between promoter hypermethylation of the EphA5 gene and EphA5 protein expression (p = 0.012). Representative examples displaying positive EphA5 protein immunostaining in a noncancerous prostate sample, weak EphA5 protein immunostaining in a low-grade prostate cancer specimen (Gleason score = 7) and negative EphA5 protein immunostaining in a high-grade prostate carcinoma sample (Gleason score = 9) are shown in Figure 5.Figure 5Representatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm).\nRepresentatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm).\nTo further verify the expression of EphA5 in human prostate tumors, we examined its expression via immunohistochemistry in 13 paired prostate carcinomas and noncancerous tissues. Strong immunostaining of the EphA5 protein was observed in the cytoplasm of all 13 paired noncancerous tissues. Among the 13 prostate carcinoma specimens, 10 (76.9%) exhibited undetectable or weak immunostaining. Of these 10 tumor tissues, hypermethylation was present in 8 samples (80.0%). There was a strongly negative correlation between promoter hypermethylation of the EphA5 gene and EphA5 protein expression (p = 0.012). Representative examples displaying positive EphA5 protein immunostaining in a noncancerous prostate sample, weak EphA5 protein immunostaining in a low-grade prostate cancer specimen (Gleason score = 7) and negative EphA5 protein immunostaining in a high-grade prostate carcinoma sample (Gleason score = 9) are shown in Figure 5.Figure 5Representatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm).\nRepresentatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm).\n Restoration of EphA5 gene expression by treatment with 5-aza-2′-deoxycytidine To determine whether the inhibition of cytosine methylation could induce EphA5 mRNA expression in cell lines with hypermethylated CpG islands, we treated all of the cell lines with the cytosine methylation inhibitor 5-aza-2′-deoxycytidine (5 μmol/L, 48 h). Compared with untreated cells, the EphA5 mRNA level was significantly increased in LNCaP (36.7 ± 5.9-fold, p = 0.0021), LNCaP-LN3 (40.6 ± 4.4-fold, p = 0.0001), PC-3 (12.7 ± 3.7-fold, p = 0.0018), PC-3M-LN4 (33.6 ± 7.3-fold, p = 0.0041), CWR22rv-1 (39.1 ± 4.8-fold, p = 0.0063), and DU145 (42.9 ± 9.8-fold, p = 0.0039) cells. However, there was no significant enhancement of EphA5 mRNA levels in the RWPE-1 nonmalignant cells following 5-aza-2′-deoxycytidine treatment for 48 h (Figure 6). These results suggest that DNA hypermethylation is involved in EphA5 gene silencing in prostate cancer cell lines.Figure 6EphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours.\nEphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours.\nTo determine whether the inhibition of cytosine methylation could induce EphA5 mRNA expression in cell lines with hypermethylated CpG islands, we treated all of the cell lines with the cytosine methylation inhibitor 5-aza-2′-deoxycytidine (5 μmol/L, 48 h). Compared with untreated cells, the EphA5 mRNA level was significantly increased in LNCaP (36.7 ± 5.9-fold, p = 0.0021), LNCaP-LN3 (40.6 ± 4.4-fold, p = 0.0001), PC-3 (12.7 ± 3.7-fold, p = 0.0018), PC-3M-LN4 (33.6 ± 7.3-fold, p = 0.0041), CWR22rv-1 (39.1 ± 4.8-fold, p = 0.0063), and DU145 (42.9 ± 9.8-fold, p = 0.0039) cells. However, there was no significant enhancement of EphA5 mRNA levels in the RWPE-1 nonmalignant cells following 5-aza-2′-deoxycytidine treatment for 48 h (Figure 6). These results suggest that DNA hypermethylation is involved in EphA5 gene silencing in prostate cancer cell lines.Figure 6EphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours.\nEphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours.\n Correlation between the mRNA expression and methylation of EphA5 and clinicopathologic features We analyzed various patient clinicopathologic parameters in relation to the downregulation and methylation of EphA5. EphA5 expression differences were not correlated with median age (p = 0.371), TNM stage (p = 0.156), PSA serum concentration (p = 0.537) or prostate volume (p = 0.637). However, the low Gleason score group (Gleason score: 6-7) had significantly higher expression of EphA5 than the high Gleason score group (Gleason score: 8-10) (45.5% vs. 78.3%; p = 0.023). Significant correlations were observed between the frequency of EphA5 methylation and TNM staging (p = 0.019) and Gleason score (p = 0.016). However, no significant difference between the Gleason score 7 (3 + 4) group and the Gleason score 7 (4 + 3) group was observed about the expression of EphA5 and the hypermethylation of EphA5 (data not shown). No correlation between the occurrence of EphA5 hypermethylation and prostate-specific antigen (PSA) levels and prostate volume in prostate carcinoma samples was observed (Table 2).\nWe analyzed various patient clinicopathologic parameters in relation to the downregulation and methylation of EphA5. EphA5 expression differences were not correlated with median age (p = 0.371), TNM stage (p = 0.156), PSA serum concentration (p = 0.537) or prostate volume (p = 0.637). However, the low Gleason score group (Gleason score: 6-7) had significantly higher expression of EphA5 than the high Gleason score group (Gleason score: 8-10) (45.5% vs. 78.3%; p = 0.023). Significant correlations were observed between the frequency of EphA5 methylation and TNM staging (p = 0.019) and Gleason score (p = 0.016). However, no significant difference between the Gleason score 7 (3 + 4) group and the Gleason score 7 (4 + 3) group was observed about the expression of EphA5 and the hypermethylation of EphA5 (data not shown). No correlation between the occurrence of EphA5 hypermethylation and prostate-specific antigen (PSA) levels and prostate volume in prostate carcinoma samples was observed (Table 2).\n Overexpression of EphA5 inhibits prostate cancer cell invasion and migration To assess the effect of EphA5 expression on invasion and migration, we transiently infected Du145 cells lacking expression of EphA5 with plasmid expressing pCMV6-AC-GFP or pCMV6-AC-GFP-EphA5 and generated stably transfected cells using G418 selection. Western blotting analysis demonstrated that EphA5 was over-expressed in DU145 cells transfected with pCMV6-AC-GFP-EphA5 (Figure 7A). The wound healing assay demonstrated that the wound-closure rate of pCMV6-AC-GFP-EphA5 cells decreased by 33.7% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7C). The transwell assay showed that the number of invasive cells in pCMV6-AC-GFP-EphA5 cells decreased by 38.1% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7B). These data implied that EphA5 expression inhibited cell migration and invasion in vitro.Figure 7EphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group.\nEphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group.\nTo assess the effect of EphA5 expression on invasion and migration, we transiently infected Du145 cells lacking expression of EphA5 with plasmid expressing pCMV6-AC-GFP or pCMV6-AC-GFP-EphA5 and generated stably transfected cells using G418 selection. Western blotting analysis demonstrated that EphA5 was over-expressed in DU145 cells transfected with pCMV6-AC-GFP-EphA5 (Figure 7A). The wound healing assay demonstrated that the wound-closure rate of pCMV6-AC-GFP-EphA5 cells decreased by 33.7% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7C). The transwell assay showed that the number of invasive cells in pCMV6-AC-GFP-EphA5 cells decreased by 38.1% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7B). These data implied that EphA5 expression inhibited cell migration and invasion in vitro.Figure 7EphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group.\nEphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group.", "To explore the potential role of EphA5 in prostate carcinogenesis, we first analyzed its expression by real-time PCR in a panel of human nonmalignant (RWPE-1) and prostate cancer (LNCaP, LNCaP-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145) cell lines. EphA5 mRNA expression was significantly decreased in all six prostate cancer cell lines compared to the nonmalignant RWPE-1 cells (Figure 1A). In addition, we also observed that EphA5 gene expression was decreased consistently and significantly in both lymph node derivative cell lines compared to their parental prostate cancer cells LNCaP and PC-3 (Figure 1A). We further investigated the EphA5 protein levels by Western blotting analyses in these cell lines. The protein levels were consistent with the respective mRNA levels for the various cell lines (Figure 1B).Figure 1qRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line.\nqRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line.\nTo determine whether epigenetic silencing of the EphA5 gene also occurs in primary prostate tumors, EphA5 expression was analyzed by real-time PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. EphA5 mRNA expression was downregulated in 28 of 45 (62.2%) prostate cancer samples and in 2 of 39 (5.1%) BPH samples (Table 2). Among the 23 paired prostate carcinoma specimens, 15 (65.2%) tumor tissues exhibited the downregulation of EphA5 when compared with their respectively matched noncancerous tissues (Additional file 1: Table S1).Table 2\nCorrelation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients\nMethylationp-value1mRNA expressionp-value1PresentAbsentNormalReducedAge (years)≤701870.8838170.371>70146911PSA (ng/ml)≤10630.742270.537>1026101521Stage (TNM)T1-T2670.019760.156T3-T42661022Gleason score6-712100.01612100.0238-10203518Prostate volume (ml)≤502470.16511200.637>508668Normal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed).\n\nCorrelation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients\n\nNormal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed).\nTo further validate the expression of EphA5 in human PCa tissue, we also analysed 4 BPH tissues, 5 primary prostate tumors tissues and 4 paired normal tissues in our study by Western blotting assay. Similar to the results of qRT–PCR in the corresponding tissues, EphA5 protein level in prostate tumour samples was significantly lower than that of matched adjacent normal tissues or BPH tissues (Figure 2).Figure 2Western blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia.\nWestern blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia.", "To determine the potential mechanism of EphA5 downregulation in prostate cancer, we analyzed the EphA5 gene 5′ regulatory region. We found a CpG island encompassing the transcription start site (TSS) of EphA5. Then, methylation-specific PCR (MSP-PCR) was performed to examine the methylation status of each of the cell lines. Methylated DNA was detected in all six prostate cancer cell lines, whereas the hypermethylation of EphA5 gene was not detected in nonmalignant RWPE-1 cells (Figure 3A). In addition, both methylated and unmethylated sequences were observed in the PC-3 cell line, indicating partial methylation.Figure 3Methylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides.\nMethylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides.\nTo determine whether EphA5 hypermethylation also occurs in primary prostate tumors, the methylation status of EphA5 was determined by MSP-PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. The frequency of EphA5 promoter methylation was significantly higher in prostate cancer samples (32 of 45, 71.1%) than in BPH tissue samples (5 of 39, 12.8%; p < 0.01) and paired noncancerous tissues (2 of 23, 8.7%; p < 0.01). Of these 32 methylated prostate cancer samples, EphA5 expression was markedly downregulated in 25 samples. The correlation between EphA5 expression and hypermethylation of the CpG island was significant (p = 0.001). Among the 23 paired prostate carcinoma specimens, the hypermethylation of EphA5 was detected in 69.6% (16/23) prostate carcinoma tissues. Of these 16 prostate cancer samples, 15(93.8%) exhibited the downregulation of EphA5 expression than that of their respectively matched noncancerous tissues, implying that the hypermethylation of EphA5 was significantly correlated with the downregulation of EphA5 (p < 0.01) (Additional file 1: Table S1). The unmethylated form of EphA5, which was present in all samples, is likely due to the inherent contamination with normal (nonmalignant) cells or partial methylation. Representative results from MSP–PCR analyses in prostate tissue are shown in Figure 4A.Figure 4Methylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides.\nMethylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides.\nTo further verify the MSP-PCR results, we subjected all of the cell lines and randomly selected tissue samples to bisulfite sequencing. We analyzed a 406 bp segment of the EphA5 gene 5′ regulatory region (−103 to +303 bp; TSS, +1 bp), which includes 38 CpG sites and spans the core promoter, exon 1, and part of intron 1 (Figure 3B). Similar to the MSP-PCR results, the CpG sites were hypermethylated in all six tumor cell lines (LNCaP, LNCap-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145), and in some of the prostate carcinoma and hyperplasia specimens (Figures 3C and 4B). Representative examples displaying frequent, localized methylation at the CpG island for all six prostate tumor cell lines and a prostate carcinoma sample (T24) are shown in Figure 3D. Additionally, the lack of methylation in the RWPE-1 nonmalignant cell line and a noncancerous prostate sample (N1) are shown in Figure 4C.", "To further verify the expression of EphA5 in human prostate tumors, we examined its expression via immunohistochemistry in 13 paired prostate carcinomas and noncancerous tissues. Strong immunostaining of the EphA5 protein was observed in the cytoplasm of all 13 paired noncancerous tissues. Among the 13 prostate carcinoma specimens, 10 (76.9%) exhibited undetectable or weak immunostaining. Of these 10 tumor tissues, hypermethylation was present in 8 samples (80.0%). There was a strongly negative correlation between promoter hypermethylation of the EphA5 gene and EphA5 protein expression (p = 0.012). Representative examples displaying positive EphA5 protein immunostaining in a noncancerous prostate sample, weak EphA5 protein immunostaining in a low-grade prostate cancer specimen (Gleason score = 7) and negative EphA5 protein immunostaining in a high-grade prostate carcinoma sample (Gleason score = 9) are shown in Figure 5.Figure 5Representatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm).\nRepresentatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm).", "To determine whether the inhibition of cytosine methylation could induce EphA5 mRNA expression in cell lines with hypermethylated CpG islands, we treated all of the cell lines with the cytosine methylation inhibitor 5-aza-2′-deoxycytidine (5 μmol/L, 48 h). Compared with untreated cells, the EphA5 mRNA level was significantly increased in LNCaP (36.7 ± 5.9-fold, p = 0.0021), LNCaP-LN3 (40.6 ± 4.4-fold, p = 0.0001), PC-3 (12.7 ± 3.7-fold, p = 0.0018), PC-3M-LN4 (33.6 ± 7.3-fold, p = 0.0041), CWR22rv-1 (39.1 ± 4.8-fold, p = 0.0063), and DU145 (42.9 ± 9.8-fold, p = 0.0039) cells. However, there was no significant enhancement of EphA5 mRNA levels in the RWPE-1 nonmalignant cells following 5-aza-2′-deoxycytidine treatment for 48 h (Figure 6). These results suggest that DNA hypermethylation is involved in EphA5 gene silencing in prostate cancer cell lines.Figure 6EphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours.\nEphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours.", "We analyzed various patient clinicopathologic parameters in relation to the downregulation and methylation of EphA5. EphA5 expression differences were not correlated with median age (p = 0.371), TNM stage (p = 0.156), PSA serum concentration (p = 0.537) or prostate volume (p = 0.637). However, the low Gleason score group (Gleason score: 6-7) had significantly higher expression of EphA5 than the high Gleason score group (Gleason score: 8-10) (45.5% vs. 78.3%; p = 0.023). Significant correlations were observed between the frequency of EphA5 methylation and TNM staging (p = 0.019) and Gleason score (p = 0.016). However, no significant difference between the Gleason score 7 (3 + 4) group and the Gleason score 7 (4 + 3) group was observed about the expression of EphA5 and the hypermethylation of EphA5 (data not shown). No correlation between the occurrence of EphA5 hypermethylation and prostate-specific antigen (PSA) levels and prostate volume in prostate carcinoma samples was observed (Table 2).", "To assess the effect of EphA5 expression on invasion and migration, we transiently infected Du145 cells lacking expression of EphA5 with plasmid expressing pCMV6-AC-GFP or pCMV6-AC-GFP-EphA5 and generated stably transfected cells using G418 selection. Western blotting analysis demonstrated that EphA5 was over-expressed in DU145 cells transfected with pCMV6-AC-GFP-EphA5 (Figure 7A). The wound healing assay demonstrated that the wound-closure rate of pCMV6-AC-GFP-EphA5 cells decreased by 33.7% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7C). The transwell assay showed that the number of invasive cells in pCMV6-AC-GFP-EphA5 cells decreased by 38.1% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7B). These data implied that EphA5 expression inhibited cell migration and invasion in vitro.Figure 7EphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group.\nEphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group.", "In this study, we systematically evaluated the expression profile and methylation status as well as its clinical relevance of the EphA5 gene in prostate cell lines, benign prostatic hyperplasia, primary human prostate tumors, and paired noncancerous tissues. The EphA5 gene was frequently silenced by an epigenetic alteration, namely DNA methylation in prostate cancer cell lines and tissues. To the best of our knowledge, the present study is the first to report the relationship between EphA5 expression level and its methylation status in prostate cancer.\nNumerous reports have demonstrated that, similarly to the other members of the Eph family, EphA5 not only is involved in a variety of developmental processes [14,17,18], but also plays important roles in carcinogenesis and the tumor progression of many cancers [10,15,19-23]. A recent report revealed that EphA5 expression was decreased in low-grade glioma tumor tissues and was further reduced in high-grade glioma tumor tissues compared to normal control brain tissues, which suggested a novel role of EphA5 as a tumor suppressor [19]. Moreover, the downregulation of EphA5 expression was also observed in other advanced tumors, including colorectal cancer, acute lymphocytic leukemia, and breast cancer [10,15,20,21]. Consistent with previous studies, the downregulation of EphA5 expression was also observed in 28 of 45 (62.2%) prostate cancer tissues with various histological stages and in all 6 PCa cell lines. The downregulation of EphA5 was also associated with increased Gleason score in prostate cancer. Another fact that supports the importance of EphA5 in prostate cancer metastasis is that EphA5 transcript and protein levels were reduced consistently and significantly in both of the lymph node-derived cell lines compared with their parental prostate cancer cells (LNCaP and PC-3). The evidence suggests a potentially suppressive role of EphA5 transcripts in prostate carcinoma progression.\nDNA methylation/demethylation at promoter cytosine residues within conserved CpG islands is a powerful epigenetic modification that regulates gene transcription, and aberrant methylation can lead to gene silencing of critical genes and has been a well-documented phenomenon in many malignancies, particularly in prostate carcinoma [8-11,20,24]. Recently several groups demonstrated EphA5 promoter methylation in breast cancer, colorectal cancer and acute lymphoblastic leukemia [10,15,20], implying that the hypermethylation of EphA5 paly an important role in cancer progress. Similarly to previous studies, EphA5 gene hypermethylation was also detected in all 6 PCa cell lines and in 71.1% of tumor samples, whereas only 12.8% of benign prostatic hyperplasia and 8.7% of paired noncancerous tissues exhibited hypermethylation of the EphA5 gene within the same CpG islands as the study on breast tumor. These findings suggest that EphA5 hypermethylation occurred specifically during prostate tumorigenesis and indicate that EphA5 could be used as a potential marker to distinguish malignant prostate tissue from nonmalignant tissue. Moreover, the significant associations of EphA5 methylation with higher clinicopathologic TNM staging and Gleason score support the important role of EphA5 in cancer progression. TNM staging and Gleason score are two practical parameters that are often used to estimate prostate cancer prognosis. Therefore, EphA5 methylation might be useful as a marker for biological aggressiveness and as a valuable prognostic predictor of prostate cancer.\nAdditionally, to elucidate the mechanisms leading to the downregulation of EphA5 expression in prostate cancer, we determined the relationship between transcript expression level and the methylation status of EphA5 in prostate cancer cell lines and tissues. A significant correlation was observed between the downregulation of EphA5 expression and EphA5 methylation in prostate cancer. EphA5 expression was downregulated in all 6 PCa cell lines harboring the methyaltion. Furthermore, the downregulation of EphA5 expression could be reversed in all 6 PCa cell lines by treating cells with the DNA demethylating agent 5-aza-2′-deoxycytidine, implying that hypermethylation was an important reason for promoting the downregulation of EphA5 expression in prostate cancer. Our findings also provided a good explanation for a previous study that EphA5 mRNA levels were decreased in high-grade (Gleason score = 8) PCa tissues compared to low-grade (Gleason score = 6) PCa tissues [16].\nTo further evaluate whether EphA5 played a functional role in the PCa, we assessed the changes of biological characteristics in PCa cell line (Du145) after ectopic expression of EphA5. We found that EphA5 overexpression significantly decreased Du145 cell migratory and invasive capabilitie in vitro, suggestting that EphA5 may potentially suppress prostate cancer metastasis.\nParadoxically, recent studies [22,23] have demonstrated that the EphA5 gene was upregulated in high-grade hepatocellular carcinoma. The findings described above prompted us to ask whether EphA5 receptor can act in a bimodal manner. Similar questions have already been addressed for other Eph receptors, such as EphA2, EphA7, and EphB4 [9,25-28]. These findings could also be reflective of Eph/ephrin functions that are influenced by tissue type, oncogenic context, or ligand-independent versus ligand-dependent signaling. Therefore, the detailed role of EphA5 in prostate cancer warrant further investigation.", "In summary, we have established that loss of EphA5 expression in prostate cancer may be due to methylation of CpG sites within the EphA5 promoter. Our data indicate that EphA5 is a potential prognostic biomarker and a useful molecular therapeutic target to attenuate prostate cancer progression." ]
[ "introduction", "materials|methods", null, null, null, null, null, null, null, null, null, "results", null, null, null, null, null, null, "discussion", "conclusion" ]
[ "DNA methylation", "EphA5 receptor", "Gleason score", "Prostate cancer", "TNM staging" ]
Background: Prostate cancer (PCa) is the second most common male malignancy and the sixth leading cause of cancer death in men worldwide [1]. The disease burden is anticipated to grow to 1.7 million new cases and 499,000 deaths by 2030 simply due to the expansion and aging of the global population [2]. Understanding the molecular mechanisms that regulate initiation and progression of PCa is crucial for improving early diagnosis, developing rational therapies, and predicting patient prognosis [3,4]. However, the current information that is available and that can be applied in clinical practice is limited [3,4]. Therefore, the identification of new molecular alterations involved in the initiation and progression of this devastating disease will likely lead to fewer cases of prostate cancer and fewer deaths from the disease. Eph receptors represent the largest family of receptor tyrosine kinases (RTK) and include 14 human type 1 transmembrane protein members [5,6]. According to sequence homologies and ligand-binding affinities, Eph receptors and their ephrin ligands are divided into the following two subgroups: class A and class B [6]. Eph receptors share a common protein structure, including an extracellular domain (consisting of a globular domain, a cysteine-rich domain, and two fibronectin type III repeats domains), a transmembrane portion and an intracellular domain (consisting of a tyrosine kinase domain, a sterile alpha motif [SAM] and a PDZ binding domain) [7]. The aberrant methylation of CpG island promoter regions of Eph receptor genes is frequently observed during the development of many types of cancers, particularly prostate cancer [8-15]. EphA5, located on chromosome 4q13.1, is a member of the Eph receptor family. In common with other members of the Eph subgroup, EphA5 plays a critical role in the regulation of carcinogenesis and cancer progression [14,15]. Interestingly, a recent transcriptomic analysis revealed that the EphA5 gene is downregulated in radical prostatectomy patients with high grade PCa with a Gleason score of 8,suggesting that EphA5 plays a crucial role in prostate cancer progression [16]. However, the function of EphA5 and its clinical significance in prostate cancer has never been addressed. Here, we demonstrated that EphA5 is frequently downregulated in patients with prostate cancer. Furthermore, we explored the mechanism responsible for the downregulation of EphA5 and investigated its biological function and the association between EphA5 alterations and clinical characteristics of these patients. Methods: Cell culture The RWPE-1, PC-3 and Du145 cell lines were purchased from the Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences (Shanghai, China). The LNCap, LNCap-LN3, PC-3M-LN4, and CWR22rv-1 cell lines were kindly provided by Dr. Zhang (Biomedical Research Institute, Shenzhen PKU-HKUST Medical Center, Shenzhen, China). All of the cell lines were cultured in RPMI 1640 medium (HyClone, Logan, UT) containing 10% fetal bovine serum, penicillin (100 U/ml) and streptomycin (100 U/ml) in a 5% CO2 atmosphere at 37°C. Cells were seeded at a density of 5 × 104 cells per square centimeter in a 6-well plate. After 36 hours of incubation, fresh culture medium with or without demethylating agent 5-aza-2′-deoxycytidine was added (5 μmol/L, Sigma-Aldrich, USA); cells were then incubated for an additional 48 hours. The RWPE-1, PC-3 and Du145 cell lines were purchased from the Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences (Shanghai, China). The LNCap, LNCap-LN3, PC-3M-LN4, and CWR22rv-1 cell lines were kindly provided by Dr. Zhang (Biomedical Research Institute, Shenzhen PKU-HKUST Medical Center, Shenzhen, China). All of the cell lines were cultured in RPMI 1640 medium (HyClone, Logan, UT) containing 10% fetal bovine serum, penicillin (100 U/ml) and streptomycin (100 U/ml) in a 5% CO2 atmosphere at 37°C. Cells were seeded at a density of 5 × 104 cells per square centimeter in a 6-well plate. After 36 hours of incubation, fresh culture medium with or without demethylating agent 5-aza-2′-deoxycytidine was added (5 μmol/L, Sigma-Aldrich, USA); cells were then incubated for an additional 48 hours. Patients and tissues All tissue specimens were obtained between March 2013 and December 2013 at the Urology Department of Huashan Hospital (Shanghai, China). Benign prostate hyperplasia (BPH) samples (39) and some of the prostate carcinoma (22) samples were collected from patients undergoing prostate needle biopsies, and 23 paired noncancerous and tumor tissue samples were obtained from patients following radical prostatectomy. Paired normal specimen was obtained from an area that was at least 1cm away from any cancerous tissue and did not contain either cancer cells or premalignant tissue morphologically by histological examination of sequential sections. All of the cancer samples were histologically confirmed to contain greater than 80% tumor cells. Staging was assessed after pathological examination of formalin-fixed specimens according to the 1997 TNM classification system. Written consents were obtained from all subjects and the study protocol was approved by the Ethics Committee of Huashan Hospital. Clinical and biological data from the patients are listed in Table 1.Table 1 Patient clinical and histological characteristics Prostate cancer (%)BPH (%)Case, n4539Age (mean ± SD, years)69.5 ± 10.363.6 ± 9.1TNMT11 (2.2)T212 (26.7)T314 (31.1)T418 (40.0)Gleason score6-722 (48.9)8-1023 (51.1)PSA (ng/ml)<4.02 (4.4)4 (10.3)4.0–10.07 (15.6)21 (53.8)>10.036 (80.0)14 (35.9)Prostate volume (ml)<3014 (31.1)8 (20.5)30–5017 (37.8)12 (30.8)>5014 (31.1)19 (48.7) Patient clinical and histological characteristics All tissue specimens were obtained between March 2013 and December 2013 at the Urology Department of Huashan Hospital (Shanghai, China). Benign prostate hyperplasia (BPH) samples (39) and some of the prostate carcinoma (22) samples were collected from patients undergoing prostate needle biopsies, and 23 paired noncancerous and tumor tissue samples were obtained from patients following radical prostatectomy. Paired normal specimen was obtained from an area that was at least 1cm away from any cancerous tissue and did not contain either cancer cells or premalignant tissue morphologically by histological examination of sequential sections. All of the cancer samples were histologically confirmed to contain greater than 80% tumor cells. Staging was assessed after pathological examination of formalin-fixed specimens according to the 1997 TNM classification system. Written consents were obtained from all subjects and the study protocol was approved by the Ethics Committee of Huashan Hospital. Clinical and biological data from the patients are listed in Table 1.Table 1 Patient clinical and histological characteristics Prostate cancer (%)BPH (%)Case, n4539Age (mean ± SD, years)69.5 ± 10.363.6 ± 9.1TNMT11 (2.2)T212 (26.7)T314 (31.1)T418 (40.0)Gleason score6-722 (48.9)8-1023 (51.1)PSA (ng/ml)<4.02 (4.4)4 (10.3)4.0–10.07 (15.6)21 (53.8)>10.036 (80.0)14 (35.9)Prostate volume (ml)<3014 (31.1)8 (20.5)30–5017 (37.8)12 (30.8)>5014 (31.1)19 (48.7) Patient clinical and histological characteristics Gene expression analysis by real-time PCR Total RNA was extracted from cells and tissues using the AllPrep DNA/RNA/Protein Mini Kit (Qiagen, Germany), and samples were reverse transcribed using the PrimScriptTM RT Reagent Kit (TaKaRa, China) as described in the manufacturer’s protocol. Real-time PCR to determine EphA5 and GAPDH mRNA levels was performed using the QuantiFast Probe PCR Kit (Qiagen, Germany) according to the manufacturer’s instructions; all analyses were conducted using the ABI Prism 7500 sequence detection system (Applied Biosystems, CA). The relative quantification of EphA5 mRNA levels was performed using the comparative Ct method (2-△△Ct method) with GAPDH as the reference gene. Increases or decreases in mRNA levels of at least two fold were considered to be significant. The primer sequences were as follows: EphA5 forward, 5’-TCTGTGGTACGACACTTGGC-3’; EphA5 reverse, 5’-CTTGCACATGCATTTCCCGA-3’; GAPDH forward, 5’-GAGAAGGCTGGGGCTCATTT-3’; GAPDH reverse, 5’-AGTGATGGCATGGACTGTGG-3’. Total RNA was extracted from cells and tissues using the AllPrep DNA/RNA/Protein Mini Kit (Qiagen, Germany), and samples were reverse transcribed using the PrimScriptTM RT Reagent Kit (TaKaRa, China) as described in the manufacturer’s protocol. Real-time PCR to determine EphA5 and GAPDH mRNA levels was performed using the QuantiFast Probe PCR Kit (Qiagen, Germany) according to the manufacturer’s instructions; all analyses were conducted using the ABI Prism 7500 sequence detection system (Applied Biosystems, CA). The relative quantification of EphA5 mRNA levels was performed using the comparative Ct method (2-△△Ct method) with GAPDH as the reference gene. Increases or decreases in mRNA levels of at least two fold were considered to be significant. The primer sequences were as follows: EphA5 forward, 5’-TCTGTGGTACGACACTTGGC-3’; EphA5 reverse, 5’-CTTGCACATGCATTTCCCGA-3’; GAPDH forward, 5’-GAGAAGGCTGGGGCTCATTT-3’; GAPDH reverse, 5’-AGTGATGGCATGGACTGTGG-3’. Methylation-specific PCR Genomic DNA was isolated from cells and tissues using the AllPrep DNA/RNA/Protein Mini Kit (Qiagen, German) and modified using the EZ DNA Methylation-Gold Kit (ZYMO Research Co, Orange, CA) according to the manufacturer’s instructions. To identify aberrant methylation of the EphA5 gene, the modified DNA was amplified using primers specific for the methylated sequence (MSP, forward primer: 5′-ATTGAGTCGTTCGGGATAGC-3′ and reverse primer: 5′-GTCGAAATACAAAATAACAACCGA-3′) and primers specific for the unmethylated sequence (USP, forward primer: 5′-GATTGAGTTGTTTGGGATAGTGG-3′ and reverse primer: 5′-CCATCAAAATACAAAATAACAACCA-3′) using TaKaRa HotStarTaq DNA polymerase [15]. Amplicons were separated on 3% agarose gels and visualized under ultraviolet illumination. Genomic DNA was isolated from cells and tissues using the AllPrep DNA/RNA/Protein Mini Kit (Qiagen, German) and modified using the EZ DNA Methylation-Gold Kit (ZYMO Research Co, Orange, CA) according to the manufacturer’s instructions. To identify aberrant methylation of the EphA5 gene, the modified DNA was amplified using primers specific for the methylated sequence (MSP, forward primer: 5′-ATTGAGTCGTTCGGGATAGC-3′ and reverse primer: 5′-GTCGAAATACAAAATAACAACCGA-3′) and primers specific for the unmethylated sequence (USP, forward primer: 5′-GATTGAGTTGTTTGGGATAGTGG-3′ and reverse primer: 5′-CCATCAAAATACAAAATAACAACCA-3′) using TaKaRa HotStarTaq DNA polymerase [15]. Amplicons were separated on 3% agarose gels and visualized under ultraviolet illumination. Bisulfite genomic sequencing The sodium bisulfite-modified DNA was amplified via PCR using the following primers: Bis-EphA5-F (5′-TGGTTTTTATATTTGGAGGAGT-3′) and Bis-EphA5-R (5′-AAAACCTAAACTCCCAAACC-3′) [15]. PCR products were purified using the QIAquick PCR Purification Kit (Qiagen; Valencia, CA), subcloned into the pMD19-T vector (TaKaRa), transformed into E. coli (DH5-alpha) and grown on LB agar plates containing kanamycin with X-gal/IPTG for blue/white selection. To detect the methylation status of the EphA5 promoter, six isolated colonies from each plate were picked, sequenced and analyzed using an ABI 3730 DNA Sequencer (Applied Biosystems). The sodium bisulfite-modified DNA was amplified via PCR using the following primers: Bis-EphA5-F (5′-TGGTTTTTATATTTGGAGGAGT-3′) and Bis-EphA5-R (5′-AAAACCTAAACTCCCAAACC-3′) [15]. PCR products were purified using the QIAquick PCR Purification Kit (Qiagen; Valencia, CA), subcloned into the pMD19-T vector (TaKaRa), transformed into E. coli (DH5-alpha) and grown on LB agar plates containing kanamycin with X-gal/IPTG for blue/white selection. To detect the methylation status of the EphA5 promoter, six isolated colonies from each plate were picked, sequenced and analyzed using an ABI 3730 DNA Sequencer (Applied Biosystems). Western blot analysis Total protein was extracted from prostate tissue and cell lines using radioimmunoprecipitation assay (RIPA) buffer, and protein concentrations were determined using the BCA Protein Reagent Kit (Beyotime, China) according to the manufacturer's instructions. Proteins (100 μg) were separated via SDS-PAGE on an 8% gel, transferred to a polyvinylidene fluoride membrane, and incubated with the following antibodies: rabbit anti-EphA5 (1:500, Abcam, CA) and mouse anti-beta-actin (1:1000, Santa Cruz, CA) overnight at 4°C. After washing, the membranes were incubated with HRP-conjugated goat polyclonal secondary antibodies to mouse IgG and rabbit IgG (1:5000, Abcam, CA) for 2 h and visualized with enhanced chemiluminescent substrate (Millipore, CA). Then, immunoreactive bands were quantified using the LAS-3000 system (Fuji Film, Japan). Total protein was extracted from prostate tissue and cell lines using radioimmunoprecipitation assay (RIPA) buffer, and protein concentrations were determined using the BCA Protein Reagent Kit (Beyotime, China) according to the manufacturer's instructions. Proteins (100 μg) were separated via SDS-PAGE on an 8% gel, transferred to a polyvinylidene fluoride membrane, and incubated with the following antibodies: rabbit anti-EphA5 (1:500, Abcam, CA) and mouse anti-beta-actin (1:1000, Santa Cruz, CA) overnight at 4°C. After washing, the membranes were incubated with HRP-conjugated goat polyclonal secondary antibodies to mouse IgG and rabbit IgG (1:5000, Abcam, CA) for 2 h and visualized with enhanced chemiluminescent substrate (Millipore, CA). Then, immunoreactive bands were quantified using the LAS-3000 system (Fuji Film, Japan). Immunohistochemistry (IHC) and Imaging Tissues were fixed in 4% formalin, embedded in paraffin and sectioned at a thickness of 4 microns. Sections were deparaffinized in several xylene washes and then rehydrated in graded alcohols. The sections were permeabilized in citrate buffer (pH 6.0, Maixin) for 10 min and then incubated with normal goat serum for 1 h. Next, the sections were incubated with rabbit anti-EphA5 polyclonal antibody (dilution 1:1000, Abcam, CA) for 1 h at 37°C and then stained using an HRP-conjugated secondary antibody (Dako, UK) for 1 h at room temperature. Finally, the sections were incubated and stained with DAB substrate and hematoxylin, scanned with an Olympus BX53 microscope and photographed using the Cellsens Entry software (Olympus). EphA5 expression was classified as negative if less than 5% of the tumor cells were positive for EphA5 staining and classified as positive if more than 5% of the tumor cells were positive for EphA5 staining. Tissues were fixed in 4% formalin, embedded in paraffin and sectioned at a thickness of 4 microns. Sections were deparaffinized in several xylene washes and then rehydrated in graded alcohols. The sections were permeabilized in citrate buffer (pH 6.0, Maixin) for 10 min and then incubated with normal goat serum for 1 h. Next, the sections were incubated with rabbit anti-EphA5 polyclonal antibody (dilution 1:1000, Abcam, CA) for 1 h at 37°C and then stained using an HRP-conjugated secondary antibody (Dako, UK) for 1 h at room temperature. Finally, the sections were incubated and stained with DAB substrate and hematoxylin, scanned with an Olympus BX53 microscope and photographed using the Cellsens Entry software (Olympus). EphA5 expression was classified as negative if less than 5% of the tumor cells were positive for EphA5 staining and classified as positive if more than 5% of the tumor cells were positive for EphA5 staining. Scratch migration assay and Invasion assay For evaluation the EphA5 function,we obtained the Du145 derivative cell lines that stably overexpressed EphA5 via transfection of pCMV6-AC-GFP-EphA5 plasmid (Cat No. RG213206, Origene, CA) according to the manufacturer’s protocol. Du145 cell transfected with pCMV6-AC-GFP empty plasmid (Cat No. PS100010, Origene, CA) empty vector were used as the control. For scratch migration assay, cells were cultured in 24-well plates until confluence. The monolayer was scratched with a sterile 200 μl pipette tip to create a denuded area of constant width. The wound closure was monitored and photographed before and 24 hours after wounding. For the Matrigel invasion assay, 1 × 105 cells were seeded into the upper compartment of the insert with Matrigel (BD Biosciences, Woburn, Mass) in serum-free growth medium. Then, the upper chamber were placed into 24-well culture dishes containing 600 μl of complete growth medium. After 48h of incubation at 37°C, cells in the upper chamber were subsequently removed with cotton swabs and then stained with a solution containing 0.1% crystal violet and 4% formaldehyde. The number of cells that fixed on the bottom membrane of the inserts was counted. For evaluation the EphA5 function,we obtained the Du145 derivative cell lines that stably overexpressed EphA5 via transfection of pCMV6-AC-GFP-EphA5 plasmid (Cat No. RG213206, Origene, CA) according to the manufacturer’s protocol. Du145 cell transfected with pCMV6-AC-GFP empty plasmid (Cat No. PS100010, Origene, CA) empty vector were used as the control. For scratch migration assay, cells were cultured in 24-well plates until confluence. The monolayer was scratched with a sterile 200 μl pipette tip to create a denuded area of constant width. The wound closure was monitored and photographed before and 24 hours after wounding. For the Matrigel invasion assay, 1 × 105 cells were seeded into the upper compartment of the insert with Matrigel (BD Biosciences, Woburn, Mass) in serum-free growth medium. Then, the upper chamber were placed into 24-well culture dishes containing 600 μl of complete growth medium. After 48h of incubation at 37°C, cells in the upper chamber were subsequently removed with cotton swabs and then stained with a solution containing 0.1% crystal violet and 4% formaldehyde. The number of cells that fixed on the bottom membrane of the inserts was counted. Statistics A two-tailed Student's t-test was used to compare various groups to assess statistical significance. The differences in gene expression levels between prostate cancer samples and noncancerous prostate tissue specimens were analyzed using a chi-squared test. All statistical analyses were performed using the SPSS 11.0 software. P < 0.05 was considered to be statistically significant. A two-tailed Student's t-test was used to compare various groups to assess statistical significance. The differences in gene expression levels between prostate cancer samples and noncancerous prostate tissue specimens were analyzed using a chi-squared test. All statistical analyses were performed using the SPSS 11.0 software. P < 0.05 was considered to be statistically significant. Cell culture: The RWPE-1, PC-3 and Du145 cell lines were purchased from the Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences (Shanghai, China). The LNCap, LNCap-LN3, PC-3M-LN4, and CWR22rv-1 cell lines were kindly provided by Dr. Zhang (Biomedical Research Institute, Shenzhen PKU-HKUST Medical Center, Shenzhen, China). All of the cell lines were cultured in RPMI 1640 medium (HyClone, Logan, UT) containing 10% fetal bovine serum, penicillin (100 U/ml) and streptomycin (100 U/ml) in a 5% CO2 atmosphere at 37°C. Cells were seeded at a density of 5 × 104 cells per square centimeter in a 6-well plate. After 36 hours of incubation, fresh culture medium with or without demethylating agent 5-aza-2′-deoxycytidine was added (5 μmol/L, Sigma-Aldrich, USA); cells were then incubated for an additional 48 hours. Patients and tissues: All tissue specimens were obtained between March 2013 and December 2013 at the Urology Department of Huashan Hospital (Shanghai, China). Benign prostate hyperplasia (BPH) samples (39) and some of the prostate carcinoma (22) samples were collected from patients undergoing prostate needle biopsies, and 23 paired noncancerous and tumor tissue samples were obtained from patients following radical prostatectomy. Paired normal specimen was obtained from an area that was at least 1cm away from any cancerous tissue and did not contain either cancer cells or premalignant tissue morphologically by histological examination of sequential sections. All of the cancer samples were histologically confirmed to contain greater than 80% tumor cells. Staging was assessed after pathological examination of formalin-fixed specimens according to the 1997 TNM classification system. Written consents were obtained from all subjects and the study protocol was approved by the Ethics Committee of Huashan Hospital. Clinical and biological data from the patients are listed in Table 1.Table 1 Patient clinical and histological characteristics Prostate cancer (%)BPH (%)Case, n4539Age (mean ± SD, years)69.5 ± 10.363.6 ± 9.1TNMT11 (2.2)T212 (26.7)T314 (31.1)T418 (40.0)Gleason score6-722 (48.9)8-1023 (51.1)PSA (ng/ml)<4.02 (4.4)4 (10.3)4.0–10.07 (15.6)21 (53.8)>10.036 (80.0)14 (35.9)Prostate volume (ml)<3014 (31.1)8 (20.5)30–5017 (37.8)12 (30.8)>5014 (31.1)19 (48.7) Patient clinical and histological characteristics Gene expression analysis by real-time PCR: Total RNA was extracted from cells and tissues using the AllPrep DNA/RNA/Protein Mini Kit (Qiagen, Germany), and samples were reverse transcribed using the PrimScriptTM RT Reagent Kit (TaKaRa, China) as described in the manufacturer’s protocol. Real-time PCR to determine EphA5 and GAPDH mRNA levels was performed using the QuantiFast Probe PCR Kit (Qiagen, Germany) according to the manufacturer’s instructions; all analyses were conducted using the ABI Prism 7500 sequence detection system (Applied Biosystems, CA). The relative quantification of EphA5 mRNA levels was performed using the comparative Ct method (2-△△Ct method) with GAPDH as the reference gene. Increases or decreases in mRNA levels of at least two fold were considered to be significant. The primer sequences were as follows: EphA5 forward, 5’-TCTGTGGTACGACACTTGGC-3’; EphA5 reverse, 5’-CTTGCACATGCATTTCCCGA-3’; GAPDH forward, 5’-GAGAAGGCTGGGGCTCATTT-3’; GAPDH reverse, 5’-AGTGATGGCATGGACTGTGG-3’. Methylation-specific PCR: Genomic DNA was isolated from cells and tissues using the AllPrep DNA/RNA/Protein Mini Kit (Qiagen, German) and modified using the EZ DNA Methylation-Gold Kit (ZYMO Research Co, Orange, CA) according to the manufacturer’s instructions. To identify aberrant methylation of the EphA5 gene, the modified DNA was amplified using primers specific for the methylated sequence (MSP, forward primer: 5′-ATTGAGTCGTTCGGGATAGC-3′ and reverse primer: 5′-GTCGAAATACAAAATAACAACCGA-3′) and primers specific for the unmethylated sequence (USP, forward primer: 5′-GATTGAGTTGTTTGGGATAGTGG-3′ and reverse primer: 5′-CCATCAAAATACAAAATAACAACCA-3′) using TaKaRa HotStarTaq DNA polymerase [15]. Amplicons were separated on 3% agarose gels and visualized under ultraviolet illumination. Bisulfite genomic sequencing: The sodium bisulfite-modified DNA was amplified via PCR using the following primers: Bis-EphA5-F (5′-TGGTTTTTATATTTGGAGGAGT-3′) and Bis-EphA5-R (5′-AAAACCTAAACTCCCAAACC-3′) [15]. PCR products were purified using the QIAquick PCR Purification Kit (Qiagen; Valencia, CA), subcloned into the pMD19-T vector (TaKaRa), transformed into E. coli (DH5-alpha) and grown on LB agar plates containing kanamycin with X-gal/IPTG for blue/white selection. To detect the methylation status of the EphA5 promoter, six isolated colonies from each plate were picked, sequenced and analyzed using an ABI 3730 DNA Sequencer (Applied Biosystems). Western blot analysis: Total protein was extracted from prostate tissue and cell lines using radioimmunoprecipitation assay (RIPA) buffer, and protein concentrations were determined using the BCA Protein Reagent Kit (Beyotime, China) according to the manufacturer's instructions. Proteins (100 μg) were separated via SDS-PAGE on an 8% gel, transferred to a polyvinylidene fluoride membrane, and incubated with the following antibodies: rabbit anti-EphA5 (1:500, Abcam, CA) and mouse anti-beta-actin (1:1000, Santa Cruz, CA) overnight at 4°C. After washing, the membranes were incubated with HRP-conjugated goat polyclonal secondary antibodies to mouse IgG and rabbit IgG (1:5000, Abcam, CA) for 2 h and visualized with enhanced chemiluminescent substrate (Millipore, CA). Then, immunoreactive bands were quantified using the LAS-3000 system (Fuji Film, Japan). Immunohistochemistry (IHC) and Imaging: Tissues were fixed in 4% formalin, embedded in paraffin and sectioned at a thickness of 4 microns. Sections were deparaffinized in several xylene washes and then rehydrated in graded alcohols. The sections were permeabilized in citrate buffer (pH 6.0, Maixin) for 10 min and then incubated with normal goat serum for 1 h. Next, the sections were incubated with rabbit anti-EphA5 polyclonal antibody (dilution 1:1000, Abcam, CA) for 1 h at 37°C and then stained using an HRP-conjugated secondary antibody (Dako, UK) for 1 h at room temperature. Finally, the sections were incubated and stained with DAB substrate and hematoxylin, scanned with an Olympus BX53 microscope and photographed using the Cellsens Entry software (Olympus). EphA5 expression was classified as negative if less than 5% of the tumor cells were positive for EphA5 staining and classified as positive if more than 5% of the tumor cells were positive for EphA5 staining. Scratch migration assay and Invasion assay: For evaluation the EphA5 function,we obtained the Du145 derivative cell lines that stably overexpressed EphA5 via transfection of pCMV6-AC-GFP-EphA5 plasmid (Cat No. RG213206, Origene, CA) according to the manufacturer’s protocol. Du145 cell transfected with pCMV6-AC-GFP empty plasmid (Cat No. PS100010, Origene, CA) empty vector were used as the control. For scratch migration assay, cells were cultured in 24-well plates until confluence. The monolayer was scratched with a sterile 200 μl pipette tip to create a denuded area of constant width. The wound closure was monitored and photographed before and 24 hours after wounding. For the Matrigel invasion assay, 1 × 105 cells were seeded into the upper compartment of the insert with Matrigel (BD Biosciences, Woburn, Mass) in serum-free growth medium. Then, the upper chamber were placed into 24-well culture dishes containing 600 μl of complete growth medium. After 48h of incubation at 37°C, cells in the upper chamber were subsequently removed with cotton swabs and then stained with a solution containing 0.1% crystal violet and 4% formaldehyde. The number of cells that fixed on the bottom membrane of the inserts was counted. Statistics: A two-tailed Student's t-test was used to compare various groups to assess statistical significance. The differences in gene expression levels between prostate cancer samples and noncancerous prostate tissue specimens were analyzed using a chi-squared test. All statistical analyses were performed using the SPSS 11.0 software. P < 0.05 was considered to be statistically significant. Results: Down-regulation of EphA5 in prostate cancer To explore the potential role of EphA5 in prostate carcinogenesis, we first analyzed its expression by real-time PCR in a panel of human nonmalignant (RWPE-1) and prostate cancer (LNCaP, LNCaP-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145) cell lines. EphA5 mRNA expression was significantly decreased in all six prostate cancer cell lines compared to the nonmalignant RWPE-1 cells (Figure 1A). In addition, we also observed that EphA5 gene expression was decreased consistently and significantly in both lymph node derivative cell lines compared to their parental prostate cancer cells LNCaP and PC-3 (Figure 1A). We further investigated the EphA5 protein levels by Western blotting analyses in these cell lines. The protein levels were consistent with the respective mRNA levels for the various cell lines (Figure 1B).Figure 1qRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line. qRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line. To determine whether epigenetic silencing of the EphA5 gene also occurs in primary prostate tumors, EphA5 expression was analyzed by real-time PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. EphA5 mRNA expression was downregulated in 28 of 45 (62.2%) prostate cancer samples and in 2 of 39 (5.1%) BPH samples (Table 2). Among the 23 paired prostate carcinoma specimens, 15 (65.2%) tumor tissues exhibited the downregulation of EphA5 when compared with their respectively matched noncancerous tissues (Additional file 1: Table S1).Table 2 Correlation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients Methylationp-value1mRNA expressionp-value1PresentAbsentNormalReducedAge (years)≤701870.8838170.371>70146911PSA (ng/ml)≤10630.742270.537>1026101521Stage (TNM)T1-T2670.019760.156T3-T42661022Gleason score6-712100.01612100.0238-10203518Prostate volume (ml)≤502470.16511200.637>508668Normal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed). Correlation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients Normal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed). To further validate the expression of EphA5 in human PCa tissue, we also analysed 4 BPH tissues, 5 primary prostate tumors tissues and 4 paired normal tissues in our study by Western blotting assay. Similar to the results of qRT–PCR in the corresponding tissues, EphA5 protein level in prostate tumour samples was significantly lower than that of matched adjacent normal tissues or BPH tissues (Figure 2).Figure 2Western blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia. Western blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia. To explore the potential role of EphA5 in prostate carcinogenesis, we first analyzed its expression by real-time PCR in a panel of human nonmalignant (RWPE-1) and prostate cancer (LNCaP, LNCaP-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145) cell lines. EphA5 mRNA expression was significantly decreased in all six prostate cancer cell lines compared to the nonmalignant RWPE-1 cells (Figure 1A). In addition, we also observed that EphA5 gene expression was decreased consistently and significantly in both lymph node derivative cell lines compared to their parental prostate cancer cells LNCaP and PC-3 (Figure 1A). We further investigated the EphA5 protein levels by Western blotting analyses in these cell lines. The protein levels were consistent with the respective mRNA levels for the various cell lines (Figure 1B).Figure 1qRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line. qRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line. To determine whether epigenetic silencing of the EphA5 gene also occurs in primary prostate tumors, EphA5 expression was analyzed by real-time PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. EphA5 mRNA expression was downregulated in 28 of 45 (62.2%) prostate cancer samples and in 2 of 39 (5.1%) BPH samples (Table 2). Among the 23 paired prostate carcinoma specimens, 15 (65.2%) tumor tissues exhibited the downregulation of EphA5 when compared with their respectively matched noncancerous tissues (Additional file 1: Table S1).Table 2 Correlation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients Methylationp-value1mRNA expressionp-value1PresentAbsentNormalReducedAge (years)≤701870.8838170.371>70146911PSA (ng/ml)≤10630.742270.537>1026101521Stage (TNM)T1-T2670.019760.156T3-T42661022Gleason score6-712100.01612100.0238-10203518Prostate volume (ml)≤502470.16511200.637>508668Normal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed). Correlation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients Normal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed). To further validate the expression of EphA5 in human PCa tissue, we also analysed 4 BPH tissues, 5 primary prostate tumors tissues and 4 paired normal tissues in our study by Western blotting assay. Similar to the results of qRT–PCR in the corresponding tissues, EphA5 protein level in prostate tumour samples was significantly lower than that of matched adjacent normal tissues or BPH tissues (Figure 2).Figure 2Western blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia. Western blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia. Methylation status of EphA5 in prostate cancer To determine the potential mechanism of EphA5 downregulation in prostate cancer, we analyzed the EphA5 gene 5′ regulatory region. We found a CpG island encompassing the transcription start site (TSS) of EphA5. Then, methylation-specific PCR (MSP-PCR) was performed to examine the methylation status of each of the cell lines. Methylated DNA was detected in all six prostate cancer cell lines, whereas the hypermethylation of EphA5 gene was not detected in nonmalignant RWPE-1 cells (Figure 3A). In addition, both methylated and unmethylated sequences were observed in the PC-3 cell line, indicating partial methylation.Figure 3Methylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides. Methylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides. To determine whether EphA5 hypermethylation also occurs in primary prostate tumors, the methylation status of EphA5 was determined by MSP-PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. The frequency of EphA5 promoter methylation was significantly higher in prostate cancer samples (32 of 45, 71.1%) than in BPH tissue samples (5 of 39, 12.8%; p < 0.01) and paired noncancerous tissues (2 of 23, 8.7%; p < 0.01). Of these 32 methylated prostate cancer samples, EphA5 expression was markedly downregulated in 25 samples. The correlation between EphA5 expression and hypermethylation of the CpG island was significant (p = 0.001). Among the 23 paired prostate carcinoma specimens, the hypermethylation of EphA5 was detected in 69.6% (16/23) prostate carcinoma tissues. Of these 16 prostate cancer samples, 15(93.8%) exhibited the downregulation of EphA5 expression than that of their respectively matched noncancerous tissues, implying that the hypermethylation of EphA5 was significantly correlated with the downregulation of EphA5 (p < 0.01) (Additional file 1: Table S1). The unmethylated form of EphA5, which was present in all samples, is likely due to the inherent contamination with normal (nonmalignant) cells or partial methylation. Representative results from MSP–PCR analyses in prostate tissue are shown in Figure 4A.Figure 4Methylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides. Methylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides. To further verify the MSP-PCR results, we subjected all of the cell lines and randomly selected tissue samples to bisulfite sequencing. We analyzed a 406 bp segment of the EphA5 gene 5′ regulatory region (−103 to +303 bp; TSS, +1 bp), which includes 38 CpG sites and spans the core promoter, exon 1, and part of intron 1 (Figure 3B). Similar to the MSP-PCR results, the CpG sites were hypermethylated in all six tumor cell lines (LNCaP, LNCap-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145), and in some of the prostate carcinoma and hyperplasia specimens (Figures 3C and 4B). Representative examples displaying frequent, localized methylation at the CpG island for all six prostate tumor cell lines and a prostate carcinoma sample (T24) are shown in Figure 3D. Additionally, the lack of methylation in the RWPE-1 nonmalignant cell line and a noncancerous prostate sample (N1) are shown in Figure 4C. To determine the potential mechanism of EphA5 downregulation in prostate cancer, we analyzed the EphA5 gene 5′ regulatory region. We found a CpG island encompassing the transcription start site (TSS) of EphA5. Then, methylation-specific PCR (MSP-PCR) was performed to examine the methylation status of each of the cell lines. Methylated DNA was detected in all six prostate cancer cell lines, whereas the hypermethylation of EphA5 gene was not detected in nonmalignant RWPE-1 cells (Figure 3A). In addition, both methylated and unmethylated sequences were observed in the PC-3 cell line, indicating partial methylation.Figure 3Methylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides. Methylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides. To determine whether EphA5 hypermethylation also occurs in primary prostate tumors, the methylation status of EphA5 was determined by MSP-PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. The frequency of EphA5 promoter methylation was significantly higher in prostate cancer samples (32 of 45, 71.1%) than in BPH tissue samples (5 of 39, 12.8%; p < 0.01) and paired noncancerous tissues (2 of 23, 8.7%; p < 0.01). Of these 32 methylated prostate cancer samples, EphA5 expression was markedly downregulated in 25 samples. The correlation between EphA5 expression and hypermethylation of the CpG island was significant (p = 0.001). Among the 23 paired prostate carcinoma specimens, the hypermethylation of EphA5 was detected in 69.6% (16/23) prostate carcinoma tissues. Of these 16 prostate cancer samples, 15(93.8%) exhibited the downregulation of EphA5 expression than that of their respectively matched noncancerous tissues, implying that the hypermethylation of EphA5 was significantly correlated with the downregulation of EphA5 (p < 0.01) (Additional file 1: Table S1). The unmethylated form of EphA5, which was present in all samples, is likely due to the inherent contamination with normal (nonmalignant) cells or partial methylation. Representative results from MSP–PCR analyses in prostate tissue are shown in Figure 4A.Figure 4Methylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides. Methylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides. To further verify the MSP-PCR results, we subjected all of the cell lines and randomly selected tissue samples to bisulfite sequencing. We analyzed a 406 bp segment of the EphA5 gene 5′ regulatory region (−103 to +303 bp; TSS, +1 bp), which includes 38 CpG sites and spans the core promoter, exon 1, and part of intron 1 (Figure 3B). Similar to the MSP-PCR results, the CpG sites were hypermethylated in all six tumor cell lines (LNCaP, LNCap-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145), and in some of the prostate carcinoma and hyperplasia specimens (Figures 3C and 4B). Representative examples displaying frequent, localized methylation at the CpG island for all six prostate tumor cell lines and a prostate carcinoma sample (T24) are shown in Figure 3D. Additionally, the lack of methylation in the RWPE-1 nonmalignant cell line and a noncancerous prostate sample (N1) are shown in Figure 4C. Immunohistochemical expression of EphA5 To further verify the expression of EphA5 in human prostate tumors, we examined its expression via immunohistochemistry in 13 paired prostate carcinomas and noncancerous tissues. Strong immunostaining of the EphA5 protein was observed in the cytoplasm of all 13 paired noncancerous tissues. Among the 13 prostate carcinoma specimens, 10 (76.9%) exhibited undetectable or weak immunostaining. Of these 10 tumor tissues, hypermethylation was present in 8 samples (80.0%). There was a strongly negative correlation between promoter hypermethylation of the EphA5 gene and EphA5 protein expression (p = 0.012). Representative examples displaying positive EphA5 protein immunostaining in a noncancerous prostate sample, weak EphA5 protein immunostaining in a low-grade prostate cancer specimen (Gleason score = 7) and negative EphA5 protein immunostaining in a high-grade prostate carcinoma sample (Gleason score = 9) are shown in Figure 5.Figure 5Representatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm). Representatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm). To further verify the expression of EphA5 in human prostate tumors, we examined its expression via immunohistochemistry in 13 paired prostate carcinomas and noncancerous tissues. Strong immunostaining of the EphA5 protein was observed in the cytoplasm of all 13 paired noncancerous tissues. Among the 13 prostate carcinoma specimens, 10 (76.9%) exhibited undetectable or weak immunostaining. Of these 10 tumor tissues, hypermethylation was present in 8 samples (80.0%). There was a strongly negative correlation between promoter hypermethylation of the EphA5 gene and EphA5 protein expression (p = 0.012). Representative examples displaying positive EphA5 protein immunostaining in a noncancerous prostate sample, weak EphA5 protein immunostaining in a low-grade prostate cancer specimen (Gleason score = 7) and negative EphA5 protein immunostaining in a high-grade prostate carcinoma sample (Gleason score = 9) are shown in Figure 5.Figure 5Representatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm). Representatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm). Restoration of EphA5 gene expression by treatment with 5-aza-2′-deoxycytidine To determine whether the inhibition of cytosine methylation could induce EphA5 mRNA expression in cell lines with hypermethylated CpG islands, we treated all of the cell lines with the cytosine methylation inhibitor 5-aza-2′-deoxycytidine (5 μmol/L, 48 h). Compared with untreated cells, the EphA5 mRNA level was significantly increased in LNCaP (36.7 ± 5.9-fold, p = 0.0021), LNCaP-LN3 (40.6 ± 4.4-fold, p = 0.0001), PC-3 (12.7 ± 3.7-fold, p = 0.0018), PC-3M-LN4 (33.6 ± 7.3-fold, p = 0.0041), CWR22rv-1 (39.1 ± 4.8-fold, p = 0.0063), and DU145 (42.9 ± 9.8-fold, p = 0.0039) cells. However, there was no significant enhancement of EphA5 mRNA levels in the RWPE-1 nonmalignant cells following 5-aza-2′-deoxycytidine treatment for 48 h (Figure 6). These results suggest that DNA hypermethylation is involved in EphA5 gene silencing in prostate cancer cell lines.Figure 6EphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours. EphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours. To determine whether the inhibition of cytosine methylation could induce EphA5 mRNA expression in cell lines with hypermethylated CpG islands, we treated all of the cell lines with the cytosine methylation inhibitor 5-aza-2′-deoxycytidine (5 μmol/L, 48 h). Compared with untreated cells, the EphA5 mRNA level was significantly increased in LNCaP (36.7 ± 5.9-fold, p = 0.0021), LNCaP-LN3 (40.6 ± 4.4-fold, p = 0.0001), PC-3 (12.7 ± 3.7-fold, p = 0.0018), PC-3M-LN4 (33.6 ± 7.3-fold, p = 0.0041), CWR22rv-1 (39.1 ± 4.8-fold, p = 0.0063), and DU145 (42.9 ± 9.8-fold, p = 0.0039) cells. However, there was no significant enhancement of EphA5 mRNA levels in the RWPE-1 nonmalignant cells following 5-aza-2′-deoxycytidine treatment for 48 h (Figure 6). These results suggest that DNA hypermethylation is involved in EphA5 gene silencing in prostate cancer cell lines.Figure 6EphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours. EphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours. Correlation between the mRNA expression and methylation of EphA5 and clinicopathologic features We analyzed various patient clinicopathologic parameters in relation to the downregulation and methylation of EphA5. EphA5 expression differences were not correlated with median age (p = 0.371), TNM stage (p = 0.156), PSA serum concentration (p = 0.537) or prostate volume (p = 0.637). However, the low Gleason score group (Gleason score: 6-7) had significantly higher expression of EphA5 than the high Gleason score group (Gleason score: 8-10) (45.5% vs. 78.3%; p = 0.023). Significant correlations were observed between the frequency of EphA5 methylation and TNM staging (p = 0.019) and Gleason score (p = 0.016). However, no significant difference between the Gleason score 7 (3 + 4) group and the Gleason score 7 (4 + 3) group was observed about the expression of EphA5 and the hypermethylation of EphA5 (data not shown). No correlation between the occurrence of EphA5 hypermethylation and prostate-specific antigen (PSA) levels and prostate volume in prostate carcinoma samples was observed (Table 2). We analyzed various patient clinicopathologic parameters in relation to the downregulation and methylation of EphA5. EphA5 expression differences were not correlated with median age (p = 0.371), TNM stage (p = 0.156), PSA serum concentration (p = 0.537) or prostate volume (p = 0.637). However, the low Gleason score group (Gleason score: 6-7) had significantly higher expression of EphA5 than the high Gleason score group (Gleason score: 8-10) (45.5% vs. 78.3%; p = 0.023). Significant correlations were observed between the frequency of EphA5 methylation and TNM staging (p = 0.019) and Gleason score (p = 0.016). However, no significant difference between the Gleason score 7 (3 + 4) group and the Gleason score 7 (4 + 3) group was observed about the expression of EphA5 and the hypermethylation of EphA5 (data not shown). No correlation between the occurrence of EphA5 hypermethylation and prostate-specific antigen (PSA) levels and prostate volume in prostate carcinoma samples was observed (Table 2). Overexpression of EphA5 inhibits prostate cancer cell invasion and migration To assess the effect of EphA5 expression on invasion and migration, we transiently infected Du145 cells lacking expression of EphA5 with plasmid expressing pCMV6-AC-GFP or pCMV6-AC-GFP-EphA5 and generated stably transfected cells using G418 selection. Western blotting analysis demonstrated that EphA5 was over-expressed in DU145 cells transfected with pCMV6-AC-GFP-EphA5 (Figure 7A). The wound healing assay demonstrated that the wound-closure rate of pCMV6-AC-GFP-EphA5 cells decreased by 33.7% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7C). The transwell assay showed that the number of invasive cells in pCMV6-AC-GFP-EphA5 cells decreased by 38.1% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7B). These data implied that EphA5 expression inhibited cell migration and invasion in vitro.Figure 7EphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group. EphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group. To assess the effect of EphA5 expression on invasion and migration, we transiently infected Du145 cells lacking expression of EphA5 with plasmid expressing pCMV6-AC-GFP or pCMV6-AC-GFP-EphA5 and generated stably transfected cells using G418 selection. Western blotting analysis demonstrated that EphA5 was over-expressed in DU145 cells transfected with pCMV6-AC-GFP-EphA5 (Figure 7A). The wound healing assay demonstrated that the wound-closure rate of pCMV6-AC-GFP-EphA5 cells decreased by 33.7% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7C). The transwell assay showed that the number of invasive cells in pCMV6-AC-GFP-EphA5 cells decreased by 38.1% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7B). These data implied that EphA5 expression inhibited cell migration and invasion in vitro.Figure 7EphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group. EphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group. Down-regulation of EphA5 in prostate cancer: To explore the potential role of EphA5 in prostate carcinogenesis, we first analyzed its expression by real-time PCR in a panel of human nonmalignant (RWPE-1) and prostate cancer (LNCaP, LNCaP-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145) cell lines. EphA5 mRNA expression was significantly decreased in all six prostate cancer cell lines compared to the nonmalignant RWPE-1 cells (Figure 1A). In addition, we also observed that EphA5 gene expression was decreased consistently and significantly in both lymph node derivative cell lines compared to their parental prostate cancer cells LNCaP and PC-3 (Figure 1A). We further investigated the EphA5 protein levels by Western blotting analyses in these cell lines. The protein levels were consistent with the respective mRNA levels for the various cell lines (Figure 1B).Figure 1qRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line. qRT-PCR and Western blot analysis of EphA5 expression in prostate cell lines. A, EphA5 mRNA expression was analyzed by qRT-PCR in 7 prostate cell lines. GAPDH was amplified as an internal control. B, Western blot analysis of EphA5 protein (114 kDa band) expression in 7 prostate cell lines. β-Actin (43 kDa band) was used as a control for equal loading of cell lysates. Representative results of triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the RWPE-1 cell line; **P < 0.05, vs. the LNCaP cell line, ***P < 0.05, vs. the PC-3 cell line. To determine whether epigenetic silencing of the EphA5 gene also occurs in primary prostate tumors, EphA5 expression was analyzed by real-time PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. EphA5 mRNA expression was downregulated in 28 of 45 (62.2%) prostate cancer samples and in 2 of 39 (5.1%) BPH samples (Table 2). Among the 23 paired prostate carcinoma specimens, 15 (65.2%) tumor tissues exhibited the downregulation of EphA5 when compared with their respectively matched noncancerous tissues (Additional file 1: Table S1).Table 2 Correlation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients Methylationp-value1mRNA expressionp-value1PresentAbsentNormalReducedAge (years)≤701870.8838170.371>70146911PSA (ng/ml)≤10630.742270.537>1026101521Stage (TNM)T1-T2670.019760.156T3-T42661022Gleason score6-712100.01612100.0238-10203518Prostate volume (ml)≤502470.16511200.637>508668Normal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed). Correlation of EphA5 methylation and mRNA expression with clinical and histological parameters in PCa patients Normal: 0.5 ≤ 2-△△Ct ≤2; Reduced: 2-△△Ct < 0.5; 1χ2 (2-tailed). To further validate the expression of EphA5 in human PCa tissue, we also analysed 4 BPH tissues, 5 primary prostate tumors tissues and 4 paired normal tissues in our study by Western blotting assay. Similar to the results of qRT–PCR in the corresponding tissues, EphA5 protein level in prostate tumour samples was significantly lower than that of matched adjacent normal tissues or BPH tissues (Figure 2).Figure 2Western blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia. Western blotting analysis of EphA5 protein expression in clinical prostate specimens. A, EphA5 protein (114 kDa band) levels in representative resected fresh prostate cancer tissues and matched non-tumor tissues were analyzed by western blotting and normalized to β-actin expression (43 kDa band). Expression was further normalized to the expression level observed in the first noncancerous specimen. B, EphA5 protein levels (114 kDa band) in representative fresh prostate cancer tissues (collected via biopsy) and benign prostate hyperplasias were analyzed by western blotting and normalized to β-actin (43 kDa band). Protein levels were further normalized to the expression level observed in the first benign prostate hyperplasia specimen. Representative results from triplicate experiments are shown as mean ± SD (n = 3). *P < 0.05, vs. the respective noncancerous tissue and BPH. N = non-tumor tissue; T = tumor tissue; BPH = benign prostate hyperplasia. Methylation status of EphA5 in prostate cancer: To determine the potential mechanism of EphA5 downregulation in prostate cancer, we analyzed the EphA5 gene 5′ regulatory region. We found a CpG island encompassing the transcription start site (TSS) of EphA5. Then, methylation-specific PCR (MSP-PCR) was performed to examine the methylation status of each of the cell lines. Methylated DNA was detected in all six prostate cancer cell lines, whereas the hypermethylation of EphA5 gene was not detected in nonmalignant RWPE-1 cells (Figure 3A). In addition, both methylated and unmethylated sequences were observed in the PC-3 cell line, indicating partial methylation.Figure 3Methylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides. Methylation status of the EphA5 gene promoter in prostate cell lines. A, EphA5 methylation status was determined by MSP-PCR analysis. All prostate cancer cell lines exhibited complete methylation of the EphA5 gene. Unmethylated EphA5 alleles were detected in RWPE-1 and PC-3 cell lines. Lanes labeled “M” and “U” denote products amplified with primers recognizing methylated and unmethylated sequences, respectively. B, Schematic depiction of the EphA5 promoter-associated CpG island, which spans the region from -103 to +303 with respect to the TSS (+1). The bisulfite sequencing PCR primers are shown in light blue and bold type. The MSP = PCR primers are highlighted in khaki, italicized, and underlined. There are 38 CpG sites in this region; the CpG sites are numbered in red and bold type. C, Methylation patterns of individual EphA5 promoter clones from prostate cell lines that were sequenced using bisulfite methods. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Cell-line names and the percentage of methylation for the corresponding cell line are indicated on the left and right sides, respectively. D, Representative chromatograms of CpG sites 14 to 18 obtained from bisulfite sequencing of the EphA5 fragment. Arrows indicate positions of CpG dinucleotides. To determine whether EphA5 hypermethylation also occurs in primary prostate tumors, the methylation status of EphA5 was determined by MSP-PCR in 39 BPH tissues, 22 primary prostate tumor tissues and 23 paired noncancerous and tumor tissues. The frequency of EphA5 promoter methylation was significantly higher in prostate cancer samples (32 of 45, 71.1%) than in BPH tissue samples (5 of 39, 12.8%; p < 0.01) and paired noncancerous tissues (2 of 23, 8.7%; p < 0.01). Of these 32 methylated prostate cancer samples, EphA5 expression was markedly downregulated in 25 samples. The correlation between EphA5 expression and hypermethylation of the CpG island was significant (p = 0.001). Among the 23 paired prostate carcinoma specimens, the hypermethylation of EphA5 was detected in 69.6% (16/23) prostate carcinoma tissues. Of these 16 prostate cancer samples, 15(93.8%) exhibited the downregulation of EphA5 expression than that of their respectively matched noncancerous tissues, implying that the hypermethylation of EphA5 was significantly correlated with the downregulation of EphA5 (p < 0.01) (Additional file 1: Table S1). The unmethylated form of EphA5, which was present in all samples, is likely due to the inherent contamination with normal (nonmalignant) cells or partial methylation. Representative results from MSP–PCR analyses in prostate tissue are shown in Figure 4A.Figure 4Methylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides. Methylation status of the EphA5 gene promoter in prostate tissue. A, EphA5 methylation status was determined by MSP-PCR. All of the prostate cancer tissues exhibit complete methylation of the EphA5 gene. The unmethylated alleles were detected in adjacent noncancerous (top) and BPH (bottom) tissues. Lanes labeled “M” and “U” denote products amplified by primers recognizing methylated and unmethylated sequences, respectively. B, Methylation patterns of individual EphA5 promoter clones from prostate tissue that were bisulfite sequenced are shown. Six clones from each sample were bisulfite sequenced to obtain a representative sampling of methylation patterns; CpG dinucleotides are represented by squares (■, methylated cytokines; □, unmethylated cytosines). Sample names and the methylation percentage of the corresponding tissue are indicated on the left and right sides, respectively. C, Representative examples of an unmethylated EphA5 CpG island in sample N1 (top) and a highly methylated CpG island in sample T24 are shown, as determined by bisulfite sequencing analysis. Arrows indicate positions of CpG dinucleotides. To further verify the MSP-PCR results, we subjected all of the cell lines and randomly selected tissue samples to bisulfite sequencing. We analyzed a 406 bp segment of the EphA5 gene 5′ regulatory region (−103 to +303 bp; TSS, +1 bp), which includes 38 CpG sites and spans the core promoter, exon 1, and part of intron 1 (Figure 3B). Similar to the MSP-PCR results, the CpG sites were hypermethylated in all six tumor cell lines (LNCaP, LNCap-LN3, PC-3, PC-3M-LN4, CWR22rv-1, and DU145), and in some of the prostate carcinoma and hyperplasia specimens (Figures 3C and 4B). Representative examples displaying frequent, localized methylation at the CpG island for all six prostate tumor cell lines and a prostate carcinoma sample (T24) are shown in Figure 3D. Additionally, the lack of methylation in the RWPE-1 nonmalignant cell line and a noncancerous prostate sample (N1) are shown in Figure 4C. Immunohistochemical expression of EphA5: To further verify the expression of EphA5 in human prostate tumors, we examined its expression via immunohistochemistry in 13 paired prostate carcinomas and noncancerous tissues. Strong immunostaining of the EphA5 protein was observed in the cytoplasm of all 13 paired noncancerous tissues. Among the 13 prostate carcinoma specimens, 10 (76.9%) exhibited undetectable or weak immunostaining. Of these 10 tumor tissues, hypermethylation was present in 8 samples (80.0%). There was a strongly negative correlation between promoter hypermethylation of the EphA5 gene and EphA5 protein expression (p = 0.012). Representative examples displaying positive EphA5 protein immunostaining in a noncancerous prostate sample, weak EphA5 protein immunostaining in a low-grade prostate cancer specimen (Gleason score = 7) and negative EphA5 protein immunostaining in a high-grade prostate carcinoma sample (Gleason score = 9) are shown in Figure 5.Figure 5Representatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm). Representatively immunostaining analysis of EphA5 in prostate tissue. A. Strong cytoplasmic expression of EphA5 in the adjacent noncancerous prostate tissue sample N8. B. Weak cytoplasmic expression of EphA5 in the prostate carcinoma tissue sample T6 (Gleason score = 3 + 4). C. Complete loss of EphA5 expression in the prostate carcinoma sample T8 (Gleason score = 4 + 5) (scale bar = 50 μm). Restoration of EphA5 gene expression by treatment with 5-aza-2′-deoxycytidine: To determine whether the inhibition of cytosine methylation could induce EphA5 mRNA expression in cell lines with hypermethylated CpG islands, we treated all of the cell lines with the cytosine methylation inhibitor 5-aza-2′-deoxycytidine (5 μmol/L, 48 h). Compared with untreated cells, the EphA5 mRNA level was significantly increased in LNCaP (36.7 ± 5.9-fold, p = 0.0021), LNCaP-LN3 (40.6 ± 4.4-fold, p = 0.0001), PC-3 (12.7 ± 3.7-fold, p = 0.0018), PC-3M-LN4 (33.6 ± 7.3-fold, p = 0.0041), CWR22rv-1 (39.1 ± 4.8-fold, p = 0.0063), and DU145 (42.9 ± 9.8-fold, p = 0.0039) cells. However, there was no significant enhancement of EphA5 mRNA levels in the RWPE-1 nonmalignant cells following 5-aza-2′-deoxycytidine treatment for 48 h (Figure 6). These results suggest that DNA hypermethylation is involved in EphA5 gene silencing in prostate cancer cell lines.Figure 6EphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours. EphA5 mRNA expression analysis by qRT-PCR in 7 prostate cells lines following 5-aza-2'-deoxycytidine (5 μmol/l) treatment for 0 and 48 hr. EphA5 gene expression levels for cell lines treated with 5-aza-2'-deoxycytidine are shown as the relative fold change compared to untreated cells (0 hours, defined as 1.0). Representative results from experiments conducted in triplicate are shown as mean ± SD. *Denotes statistical significance at P < 0.05 compared to values at 0 hours. Correlation between the mRNA expression and methylation of EphA5 and clinicopathologic features: We analyzed various patient clinicopathologic parameters in relation to the downregulation and methylation of EphA5. EphA5 expression differences were not correlated with median age (p = 0.371), TNM stage (p = 0.156), PSA serum concentration (p = 0.537) or prostate volume (p = 0.637). However, the low Gleason score group (Gleason score: 6-7) had significantly higher expression of EphA5 than the high Gleason score group (Gleason score: 8-10) (45.5% vs. 78.3%; p = 0.023). Significant correlations were observed between the frequency of EphA5 methylation and TNM staging (p = 0.019) and Gleason score (p = 0.016). However, no significant difference between the Gleason score 7 (3 + 4) group and the Gleason score 7 (4 + 3) group was observed about the expression of EphA5 and the hypermethylation of EphA5 (data not shown). No correlation between the occurrence of EphA5 hypermethylation and prostate-specific antigen (PSA) levels and prostate volume in prostate carcinoma samples was observed (Table 2). Overexpression of EphA5 inhibits prostate cancer cell invasion and migration: To assess the effect of EphA5 expression on invasion and migration, we transiently infected Du145 cells lacking expression of EphA5 with plasmid expressing pCMV6-AC-GFP or pCMV6-AC-GFP-EphA5 and generated stably transfected cells using G418 selection. Western blotting analysis demonstrated that EphA5 was over-expressed in DU145 cells transfected with pCMV6-AC-GFP-EphA5 (Figure 7A). The wound healing assay demonstrated that the wound-closure rate of pCMV6-AC-GFP-EphA5 cells decreased by 33.7% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7C). The transwell assay showed that the number of invasive cells in pCMV6-AC-GFP-EphA5 cells decreased by 38.1% (p <0.05) when compared with control pCMV6-AC-GFP cell (Figure 7B). These data implied that EphA5 expression inhibited cell migration and invasion in vitro.Figure 7EphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group. EphA5 overexpression inhibited the migration and invasiveness of Du145 cells. A. Western blot analysis of EphA5 protein (114 kDa band) expression in DU145 cells after transfection with pCMV6-GFP-EphA5. B. Cell migration activity determined with the wound healing assay. C. Cell invasion activity determined with the Matrigel invasion assay (×100). All experiments were performed in triplicate. Data are shown as the mean ± SD. *P < 0.05 vs. pCMV6-AC-GFP group. Discussion: In this study, we systematically evaluated the expression profile and methylation status as well as its clinical relevance of the EphA5 gene in prostate cell lines, benign prostatic hyperplasia, primary human prostate tumors, and paired noncancerous tissues. The EphA5 gene was frequently silenced by an epigenetic alteration, namely DNA methylation in prostate cancer cell lines and tissues. To the best of our knowledge, the present study is the first to report the relationship between EphA5 expression level and its methylation status in prostate cancer. Numerous reports have demonstrated that, similarly to the other members of the Eph family, EphA5 not only is involved in a variety of developmental processes [14,17,18], but also plays important roles in carcinogenesis and the tumor progression of many cancers [10,15,19-23]. A recent report revealed that EphA5 expression was decreased in low-grade glioma tumor tissues and was further reduced in high-grade glioma tumor tissues compared to normal control brain tissues, which suggested a novel role of EphA5 as a tumor suppressor [19]. Moreover, the downregulation of EphA5 expression was also observed in other advanced tumors, including colorectal cancer, acute lymphocytic leukemia, and breast cancer [10,15,20,21]. Consistent with previous studies, the downregulation of EphA5 expression was also observed in 28 of 45 (62.2%) prostate cancer tissues with various histological stages and in all 6 PCa cell lines. The downregulation of EphA5 was also associated with increased Gleason score in prostate cancer. Another fact that supports the importance of EphA5 in prostate cancer metastasis is that EphA5 transcript and protein levels were reduced consistently and significantly in both of the lymph node-derived cell lines compared with their parental prostate cancer cells (LNCaP and PC-3). The evidence suggests a potentially suppressive role of EphA5 transcripts in prostate carcinoma progression. DNA methylation/demethylation at promoter cytosine residues within conserved CpG islands is a powerful epigenetic modification that regulates gene transcription, and aberrant methylation can lead to gene silencing of critical genes and has been a well-documented phenomenon in many malignancies, particularly in prostate carcinoma [8-11,20,24]. Recently several groups demonstrated EphA5 promoter methylation in breast cancer, colorectal cancer and acute lymphoblastic leukemia [10,15,20], implying that the hypermethylation of EphA5 paly an important role in cancer progress. Similarly to previous studies, EphA5 gene hypermethylation was also detected in all 6 PCa cell lines and in 71.1% of tumor samples, whereas only 12.8% of benign prostatic hyperplasia and 8.7% of paired noncancerous tissues exhibited hypermethylation of the EphA5 gene within the same CpG islands as the study on breast tumor. These findings suggest that EphA5 hypermethylation occurred specifically during prostate tumorigenesis and indicate that EphA5 could be used as a potential marker to distinguish malignant prostate tissue from nonmalignant tissue. Moreover, the significant associations of EphA5 methylation with higher clinicopathologic TNM staging and Gleason score support the important role of EphA5 in cancer progression. TNM staging and Gleason score are two practical parameters that are often used to estimate prostate cancer prognosis. Therefore, EphA5 methylation might be useful as a marker for biological aggressiveness and as a valuable prognostic predictor of prostate cancer. Additionally, to elucidate the mechanisms leading to the downregulation of EphA5 expression in prostate cancer, we determined the relationship between transcript expression level and the methylation status of EphA5 in prostate cancer cell lines and tissues. A significant correlation was observed between the downregulation of EphA5 expression and EphA5 methylation in prostate cancer. EphA5 expression was downregulated in all 6 PCa cell lines harboring the methyaltion. Furthermore, the downregulation of EphA5 expression could be reversed in all 6 PCa cell lines by treating cells with the DNA demethylating agent 5-aza-2′-deoxycytidine, implying that hypermethylation was an important reason for promoting the downregulation of EphA5 expression in prostate cancer. Our findings also provided a good explanation for a previous study that EphA5 mRNA levels were decreased in high-grade (Gleason score = 8) PCa tissues compared to low-grade (Gleason score = 6) PCa tissues [16]. To further evaluate whether EphA5 played a functional role in the PCa, we assessed the changes of biological characteristics in PCa cell line (Du145) after ectopic expression of EphA5. We found that EphA5 overexpression significantly decreased Du145 cell migratory and invasive capabilitie in vitro, suggestting that EphA5 may potentially suppress prostate cancer metastasis. Paradoxically, recent studies [22,23] have demonstrated that the EphA5 gene was upregulated in high-grade hepatocellular carcinoma. The findings described above prompted us to ask whether EphA5 receptor can act in a bimodal manner. Similar questions have already been addressed for other Eph receptors, such as EphA2, EphA7, and EphB4 [9,25-28]. These findings could also be reflective of Eph/ephrin functions that are influenced by tissue type, oncogenic context, or ligand-independent versus ligand-dependent signaling. Therefore, the detailed role of EphA5 in prostate cancer warrant further investigation. Conclusion: In summary, we have established that loss of EphA5 expression in prostate cancer may be due to methylation of CpG sites within the EphA5 promoter. Our data indicate that EphA5 is a potential prognostic biomarker and a useful molecular therapeutic target to attenuate prostate cancer progression.
Background: EphA5 is a member of the Eph/ephrin family and plays a critical role in the regulation of carcinogenesis. A significant reduction of EphA5 transcripts in high-grade prostate cancer tissue was shown using a transcriptomic analysis, compared to the low-grade prostate cancer tissue. As less is known about the mechanism of EphA5 downregulation and the function of EphA5, here we investigated the expression and an epigenetic change of EphA5 in prostate cancer and determined if these findings were correlated with clinicopathologic characteristics of prostate cancer. Methods: Seven prostate cell lines (RWPE-1, LNCap, LNCap-LN3, CWR22rv-1, PC-3, PC-3M-LN4, and DU145), thirty-nine BPH, twenty-two primary prostate carcinomas, twenty-three paired noncancerous and cancerous prostate tissues were examined via qRT-PCR, methylation-specific PCR, bisulfite sequencing, immunohistochemistry and western blotting. The role of EphA5 in prostate cancer cell migration and invasion was examined by wound healing and transwell assay. Results: Downregulation or loss of EphA5 mRNA or protein expression was detected in 28 of 45 (62.2%) prostate carcinomas, 2 of 39 (5.1%) hyperplasias, and all 6 prostate cancer cell lines. Methylation of the EphA5 promoter region was present in 32 of 45 (71.1%) carcinoma samples, 3 of 39 (7.7%) hyperplasias, and the 6 prostate cancer cell lines. Among 23 paired prostate carcinoma tissues, 16 tumor samples exhibited the hypermethylation of EphA5, and 15 of these 16 specimens (93.8%) shown the downregulation of EphA5 expression than that of their respectively matched noncancerous samples. Immunostaining analysis demonstrated that the EphA5 protein was absent or down-regulated in 10 of 13 (76.9%) available carcinoma samples, and 8 of these 10 samples (80.0%) exhibited hypermethylation. The frequency of EphA5 methylation was higher in cancer patients with an elevated Gleason score or T3-T4 staging. Following the treatment of 6 prostate cancer cell lines with 5-aza-2'-deoxycytidine, the levels of EphA5 mRNA were significantly increased. Prostate cancer cells invasion and migration were significantly suppressed by ectopic expression of EphA5 in vitro. Conclusions: Our study provides evidence that EphA5 is a potential target for epigenetic silencing in primary prostate cancer and is a potentially valuable prognosis predictor and thereapeutic marker for prostate cancer.
Background: Prostate cancer (PCa) is the second most common male malignancy and the sixth leading cause of cancer death in men worldwide [1]. The disease burden is anticipated to grow to 1.7 million new cases and 499,000 deaths by 2030 simply due to the expansion and aging of the global population [2]. Understanding the molecular mechanisms that regulate initiation and progression of PCa is crucial for improving early diagnosis, developing rational therapies, and predicting patient prognosis [3,4]. However, the current information that is available and that can be applied in clinical practice is limited [3,4]. Therefore, the identification of new molecular alterations involved in the initiation and progression of this devastating disease will likely lead to fewer cases of prostate cancer and fewer deaths from the disease. Eph receptors represent the largest family of receptor tyrosine kinases (RTK) and include 14 human type 1 transmembrane protein members [5,6]. According to sequence homologies and ligand-binding affinities, Eph receptors and their ephrin ligands are divided into the following two subgroups: class A and class B [6]. Eph receptors share a common protein structure, including an extracellular domain (consisting of a globular domain, a cysteine-rich domain, and two fibronectin type III repeats domains), a transmembrane portion and an intracellular domain (consisting of a tyrosine kinase domain, a sterile alpha motif [SAM] and a PDZ binding domain) [7]. The aberrant methylation of CpG island promoter regions of Eph receptor genes is frequently observed during the development of many types of cancers, particularly prostate cancer [8-15]. EphA5, located on chromosome 4q13.1, is a member of the Eph receptor family. In common with other members of the Eph subgroup, EphA5 plays a critical role in the regulation of carcinogenesis and cancer progression [14,15]. Interestingly, a recent transcriptomic analysis revealed that the EphA5 gene is downregulated in radical prostatectomy patients with high grade PCa with a Gleason score of 8,suggesting that EphA5 plays a crucial role in prostate cancer progression [16]. However, the function of EphA5 and its clinical significance in prostate cancer has never been addressed. Here, we demonstrated that EphA5 is frequently downregulated in patients with prostate cancer. Furthermore, we explored the mechanism responsible for the downregulation of EphA5 and investigated its biological function and the association between EphA5 alterations and clinical characteristics of these patients. Conclusion: In summary, we have established that loss of EphA5 expression in prostate cancer may be due to methylation of CpG sites within the EphA5 promoter. Our data indicate that EphA5 is a potential prognostic biomarker and a useful molecular therapeutic target to attenuate prostate cancer progression.
Background: EphA5 is a member of the Eph/ephrin family and plays a critical role in the regulation of carcinogenesis. A significant reduction of EphA5 transcripts in high-grade prostate cancer tissue was shown using a transcriptomic analysis, compared to the low-grade prostate cancer tissue. As less is known about the mechanism of EphA5 downregulation and the function of EphA5, here we investigated the expression and an epigenetic change of EphA5 in prostate cancer and determined if these findings were correlated with clinicopathologic characteristics of prostate cancer. Methods: Seven prostate cell lines (RWPE-1, LNCap, LNCap-LN3, CWR22rv-1, PC-3, PC-3M-LN4, and DU145), thirty-nine BPH, twenty-two primary prostate carcinomas, twenty-three paired noncancerous and cancerous prostate tissues were examined via qRT-PCR, methylation-specific PCR, bisulfite sequencing, immunohistochemistry and western blotting. The role of EphA5 in prostate cancer cell migration and invasion was examined by wound healing and transwell assay. Results: Downregulation or loss of EphA5 mRNA or protein expression was detected in 28 of 45 (62.2%) prostate carcinomas, 2 of 39 (5.1%) hyperplasias, and all 6 prostate cancer cell lines. Methylation of the EphA5 promoter region was present in 32 of 45 (71.1%) carcinoma samples, 3 of 39 (7.7%) hyperplasias, and the 6 prostate cancer cell lines. Among 23 paired prostate carcinoma tissues, 16 tumor samples exhibited the hypermethylation of EphA5, and 15 of these 16 specimens (93.8%) shown the downregulation of EphA5 expression than that of their respectively matched noncancerous samples. Immunostaining analysis demonstrated that the EphA5 protein was absent or down-regulated in 10 of 13 (76.9%) available carcinoma samples, and 8 of these 10 samples (80.0%) exhibited hypermethylation. The frequency of EphA5 methylation was higher in cancer patients with an elevated Gleason score or T3-T4 staging. Following the treatment of 6 prostate cancer cell lines with 5-aza-2'-deoxycytidine, the levels of EphA5 mRNA were significantly increased. Prostate cancer cells invasion and migration were significantly suppressed by ectopic expression of EphA5 in vitro. Conclusions: Our study provides evidence that EphA5 is a potential target for epigenetic silencing in primary prostate cancer and is a potentially valuable prognosis predictor and thereapeutic marker for prostate cancer.
18,060
442
[ 184, 268, 174, 126, 127, 164, 180, 237, 67, 1123, 1476, 330, 407, 225, 365 ]
20
[ "epha5", "prostate", "cell", "expression", "methylation", "lines", "tissues", "cell lines", "cancer", "cells" ]
[ "class eph receptors", "prostate cancer epha5", "affinities eph receptors", "disease eph receptors", "eph receptor genes" ]
null
[CONTENT] DNA methylation | EphA5 receptor | Gleason score | Prostate cancer | TNM staging [SUMMARY]
null
[CONTENT] DNA methylation | EphA5 receptor | Gleason score | Prostate cancer | TNM staging [SUMMARY]
[CONTENT] DNA methylation | EphA5 receptor | Gleason score | Prostate cancer | TNM staging [SUMMARY]
[CONTENT] DNA methylation | EphA5 receptor | Gleason score | Prostate cancer | TNM staging [SUMMARY]
[CONTENT] DNA methylation | EphA5 receptor | Gleason score | Prostate cancer | TNM staging [SUMMARY]
[CONTENT] Aged | Biomarkers, Tumor | Cell Line, Tumor | DNA Methylation | Gene Expression Regulation, Neoplastic | Humans | Male | Middle Aged | Neoplasm Staging | Promoter Regions, Genetic | Prostatic Neoplasms | RNA, Messenger | Receptor, EphA5 [SUMMARY]
null
[CONTENT] Aged | Biomarkers, Tumor | Cell Line, Tumor | DNA Methylation | Gene Expression Regulation, Neoplastic | Humans | Male | Middle Aged | Neoplasm Staging | Promoter Regions, Genetic | Prostatic Neoplasms | RNA, Messenger | Receptor, EphA5 [SUMMARY]
[CONTENT] Aged | Biomarkers, Tumor | Cell Line, Tumor | DNA Methylation | Gene Expression Regulation, Neoplastic | Humans | Male | Middle Aged | Neoplasm Staging | Promoter Regions, Genetic | Prostatic Neoplasms | RNA, Messenger | Receptor, EphA5 [SUMMARY]
[CONTENT] Aged | Biomarkers, Tumor | Cell Line, Tumor | DNA Methylation | Gene Expression Regulation, Neoplastic | Humans | Male | Middle Aged | Neoplasm Staging | Promoter Regions, Genetic | Prostatic Neoplasms | RNA, Messenger | Receptor, EphA5 [SUMMARY]
[CONTENT] Aged | Biomarkers, Tumor | Cell Line, Tumor | DNA Methylation | Gene Expression Regulation, Neoplastic | Humans | Male | Middle Aged | Neoplasm Staging | Promoter Regions, Genetic | Prostatic Neoplasms | RNA, Messenger | Receptor, EphA5 [SUMMARY]
[CONTENT] class eph receptors | prostate cancer epha5 | affinities eph receptors | disease eph receptors | eph receptor genes [SUMMARY]
null
[CONTENT] class eph receptors | prostate cancer epha5 | affinities eph receptors | disease eph receptors | eph receptor genes [SUMMARY]
[CONTENT] class eph receptors | prostate cancer epha5 | affinities eph receptors | disease eph receptors | eph receptor genes [SUMMARY]
[CONTENT] class eph receptors | prostate cancer epha5 | affinities eph receptors | disease eph receptors | eph receptor genes [SUMMARY]
[CONTENT] class eph receptors | prostate cancer epha5 | affinities eph receptors | disease eph receptors | eph receptor genes [SUMMARY]
[CONTENT] epha5 | prostate | cell | expression | methylation | lines | tissues | cell lines | cancer | cells [SUMMARY]
null
[CONTENT] epha5 | prostate | cell | expression | methylation | lines | tissues | cell lines | cancer | cells [SUMMARY]
[CONTENT] epha5 | prostate | cell | expression | methylation | lines | tissues | cell lines | cancer | cells [SUMMARY]
[CONTENT] epha5 | prostate | cell | expression | methylation | lines | tissues | cell lines | cancer | cells [SUMMARY]
[CONTENT] epha5 | prostate | cell | expression | methylation | lines | tissues | cell lines | cancer | cells [SUMMARY]
[CONTENT] domain | eph | cancer | progression | disease | common | prostate cancer | epha5 | receptor | receptors [SUMMARY]
null
[CONTENT] epha5 | prostate | cell | expression | methylation | cpg | lines | sample | tissues | cell lines [SUMMARY]
[CONTENT] epha5 | therapeutic target | potential prognostic biomarker | biomarker | biomarker useful | biomarker useful molecular | biomarker useful molecular therapeutic | expression prostate cancer methylation | cancer methylation | cancer methylation cpg [SUMMARY]
[CONTENT] epha5 | prostate | cell | expression | cancer | cells | lines | methylation | cell lines | prostate cancer [SUMMARY]
[CONTENT] epha5 | prostate | cell | expression | cancer | cells | lines | methylation | cell lines | prostate cancer [SUMMARY]
[CONTENT] EphA5 | Eph ||| ||| [SUMMARY]
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[CONTENT] 28 | 62.2% | 2 | 39 | 5.1% | hyperplasias | 6 ||| 32 | 71.1% | 3 | 39 | 7.7% | hyperplasias | 6 ||| 23 | 16 | EphA5 | 15 | 16 | 93.8% ||| 10 | 13 | 76.9% | 8 | 10 | 80.0% ||| Gleason | T3-T4 ||| 6 | 5 ||| ectopic | EphA5 [SUMMARY]
[CONTENT] EphA5 [SUMMARY]
[CONTENT] Eph ||| ||| ||| Seven | RWPE-1 | LNCap | LNCap-LN3 | CWR22rv-1 | PC-3M-LN4 | DU145 | thirty-nine | twenty-two | twenty-three | PCR ||| ||| 28 | 62.2% | 2 | 39 | 5.1% | hyperplasias | 6 ||| 32 | 71.1% | 3 | 39 | 7.7% | hyperplasias | 6 ||| 23 | 16 | EphA5 | 15 | 16 | 93.8% ||| 10 | 13 | 76.9% | 8 | 10 | 80.0% ||| Gleason | T3-T4 ||| 6 | 5 ||| ectopic | EphA5 ||| EphA5 [SUMMARY]
[CONTENT] Eph ||| ||| ||| Seven | RWPE-1 | LNCap | LNCap-LN3 | CWR22rv-1 | PC-3M-LN4 | DU145 | thirty-nine | twenty-two | twenty-three | PCR ||| ||| 28 | 62.2% | 2 | 39 | 5.1% | hyperplasias | 6 ||| 32 | 71.1% | 3 | 39 | 7.7% | hyperplasias | 6 ||| 23 | 16 | EphA5 | 15 | 16 | 93.8% ||| 10 | 13 | 76.9% | 8 | 10 | 80.0% ||| Gleason | T3-T4 ||| 6 | 5 ||| ectopic | EphA5 ||| EphA5 [SUMMARY]
Influences of cold atmospheric plasma on apoptosis related molecules in osteoblast-like cells in vitro.
34479596
Cold atmospheric plasma (CAP) has recently been identified as a novel therapeutic strategy for supporting processes of wound healing. Since CAP is additionally known to kill malignant cells, our study intends to determine the influence of CAP on crucial molecules involved in the molecular mechanism of apoptosis in osteoblast-like cells.
BACKGROUND
Human osteoblast-like cells were CAP-treated for 30 and 60 s. CAP effects on critical factors related to apoptosis were studied at transcriptional and protein level using real time-PCR, immunofluorescence staining and western blot. Phalloidin / DAPI staining was used for analyzing the cell morphology. In addition, apoptotic outcomes of CAP were displayed using flow cytometry analysis. For studying intracellular signaling pathways, MAP kinase MEK 1/2 and PI3K were blocked. Finally, the effects of CAP on caspase-3 activity were examined using a caspase-3 assay.
METHODS
CAP treatment resulted in a significant downregulation of p53 and apoptotic protease activating factor (APAF)-1, caspase (CASP)9, CASP3, BCL2 Antagonist/Killer (BAK)1, and B-Cell Lymphoma (BCL)2 mRNA expression at 1 d. An inhibitory effect of CAP on apoptotic genes was also shown under inflammatory and apoptotic conditions. Nuclear translocation of p53 was determined in CAP treated cells at the early and late stage, after 15 min, 30 min, and 1 h. p53 and APAF-1 protein levels were reduced at 1 d, visualized by immunofluorescence and western blot, respectively. Moreover, a morphological cytoskeleton modification was observed after CAP treatment at 1 d. Further, both CAP-treated and untreated (control) cells remained equally vital as detected by flow cytometry analysis. Interestingly, CAP-associated downregulation of CASP9 and CASP3 mRNA gene expression was also visible after blocking MAP kinase and PI3K. Finally, CAP led to a decrease in CASP3 activity in osteoblast-like cells under normal and apoptotic conditions.
RESULTS
Our in vitro-study demonstrated, that CAP decreases apoptosis related molecules in osteoblast-like cells, underlining a beneficial effect on hard-tissue cells.
CONCLUSIONS
[ "Apoptosis", "Humans", "Osteoblasts", "Plasma Gases", "Signal Transduction", "Wound Healing" ]
8414668
Background
The healing of hard and soft tissue areas is a complex interplay between many upregulated factors in order to regenerate the former anatomic structure. Especially, the healing of bone is a complicated and long-term process, involving many different mechanisms like the growth of new blood vessels, the aggregation of mesenchymal stem cells, the differentiation of osteoblasts and the formation of the extracellular matrix [1, 2]. Whenever the wound healing does not take place in a normal way, which can occur at multiple steps along the cascade, a chronic wound may result. Apart from the fact of being an enormous psychological burden for the patient, the continuous treatment is also expensive for the healthcare system [3]. Chronic wounds have a high proportion of inflammatory, damaged or dead cells, which are usually cleared by macrophages [4]. Another important process involved in damaged cells removal is apoptosis also known as programmed cell death. Apoptosis can be induced by an extrinsic and intrinsic pathway [5, 6]. The extrinsic pathway can be initiated by molecules such as Tumor Necrosis Factor (TNF)α, which modulate an apoptotic cascade, which finally leads to the activation of CASP3. The intrinsic pathway can be triggered by cell stress, which leads to the activation of reactive oxygen species (ROS) or the release of p53 caused by DNA damage. The process results in the release of apoptogenic factors, such as cytochrome c, and apoptotic protease activating factor (APAF)-1, and an activation of caspase (CASP)9 and CASP3. CASP3 activation causes instability of cell membranes and fragmentation of DNA [7–9]. The apoptotic cascade is further modulated by anti-apoptotic genes, such as BCL2 Antagonist/Killer (BAK)1, or anti-apoptotic genes, such as B-Cell Lymphoma (BCL)2 [10]. Currently, CAP, being generated by inert gas or the ambient air as the fourth state of matter, has been shown to improve wound tissue healing - it seems to be a promising therapeutic approach for non-healing inflammatory wounds [11–13]. Though the specific effects of CAP need to be unrevealed, the CAP treatment of tissues seems to trigger a number of cellular mechanisms: in vitro-studies show a stimulating effect of CAP on human periodontal cells, keratinocytes and fibroblasts by upregulating certain genes and increasing cell migration and viability [14–17]. Additionally, CAP has been shown to enhance cell adhesion onto pre-treated surfaces [18–21]. However, apoptotic effects of CAP have also been described in the literature, which might represent promising approaches in cancer-therapy [22, 23]. CAP promotes the development of ROS and reactive nitrogen species which can induce apoptosis in some types of malignant cells via the intrinsic pathway as described above [24, 25]. Interestingly, CAP does not seem to affect healthy cells [26]. In our recent study we demonstrated, that CAP positively influences the wound healing in human osteoblast-like cells by stimulating proliferation and by increasing cell migration and viability [27]. However, the underlying molecular mechanisms of CAP on cell death in healthy cells are still unknown. Therefore, the aim of the present study was to analyze the effect of CAP on cell viability and death in this primary human osteoblast cell line, in order to study the effects of CAP-treatment on hard tissue.
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Results
Effect of CAP on gene expression of markers of apoptosis Since CAP has been described to have a stimulating effect on multiple cells, we examined a possible anti-apoptotic effect of CAP on the gene regulation in osteoblast-like cells. Regulation of critical apoptotic molecules like APAF-1, CASP9 and CASP3, and cellular tumor antigen p53, was measured at the transcriptional level 1 d after CAP application. CAP treatment resulted in a significant time-dependent decrease of p53. The effect was 20 % for 30 s and 30 % for 60 s as compared to control at 1 d. Furthermore, CAP downregulated significantly APAF-1 by 18,4 % (30 s treatment) and by 62,6 % (60 s treatment) as compared to untreated cells at 1 d. Moreover, CAP resulted in a significant downregulation of CASP9 and CASP3 by 24 % and 31,8 %, respectively, after 60 s of treatment at 1 d. Similarly, for these genes, treatment for 30 s resulted in weaker downregulation of mRNA expression level compared to 60 s. In addition, we observed CAP effects on the proapoptotic marker BAK1, for which a downregulation of gene expression by 34,8 % was observed after 60 s of treatment. Interestingly, 60 s of CAP treatment led to an upregulation of BCL2, which plays an important role in antiapoptotic processes (Fig. 1a). mRNA-expression of apoptotic markers in human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d as compared to untreated cells (-). a mRNA-expression of p53, APAF-1, CASP9, CASP3, BAK1, and BCL2, (n = 9). b mRNA-expression of p53, APAF1, CASP9, and CASP3 in IL-1β preincubated human osteoblast-like cells, (n = 9). c mRNA-expression of p53, APAF1, CASP9, and CASP3 in STS preincubated human osteoblast-like cells, (n = 9). * statistical significance (p < 0.05) Since CAP has been described to have a stimulating effect on multiple cells, we examined a possible anti-apoptotic effect of CAP on the gene regulation in osteoblast-like cells. Regulation of critical apoptotic molecules like APAF-1, CASP9 and CASP3, and cellular tumor antigen p53, was measured at the transcriptional level 1 d after CAP application. CAP treatment resulted in a significant time-dependent decrease of p53. The effect was 20 % for 30 s and 30 % for 60 s as compared to control at 1 d. Furthermore, CAP downregulated significantly APAF-1 by 18,4 % (30 s treatment) and by 62,6 % (60 s treatment) as compared to untreated cells at 1 d. Moreover, CAP resulted in a significant downregulation of CASP9 and CASP3 by 24 % and 31,8 %, respectively, after 60 s of treatment at 1 d. Similarly, for these genes, treatment for 30 s resulted in weaker downregulation of mRNA expression level compared to 60 s. In addition, we observed CAP effects on the proapoptotic marker BAK1, for which a downregulation of gene expression by 34,8 % was observed after 60 s of treatment. Interestingly, 60 s of CAP treatment led to an upregulation of BCL2, which plays an important role in antiapoptotic processes (Fig. 1a). mRNA-expression of apoptotic markers in human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d as compared to untreated cells (-). a mRNA-expression of p53, APAF-1, CASP9, CASP3, BAK1, and BCL2, (n = 9). b mRNA-expression of p53, APAF1, CASP9, and CASP3 in IL-1β preincubated human osteoblast-like cells, (n = 9). c mRNA-expression of p53, APAF1, CASP9, and CASP3 in STS preincubated human osteoblast-like cells, (n = 9). * statistical significance (p < 0.05) Effect of CAP on the gene expression of apoptotic molecules under inflammatory and apoptotic conditions In order to study the effects of CAP on the gene expression on apoptotic markers in inflammation, IL-1β pre-incubated cells were treated with CAP. Our data showed, that CAP counteracted the IL-1β-induced overexpression of inflammation- and apoptosis-related genes. Under inflammatory condition, 60 s of CAP application led to a significant reduction of p53, CASP9, and CASP3 at one day. The downregulating effect was strongest for p53, which was 33 %. Another strong effect was shown for CASP3 mRNA expression: CAP treatment of IL-1β pre-incubated cells resulted in a downregulation by 21,8 %. (Fig. 1b). Similar results were observed for STS preincubated cells. Especially in such an apoptotic environment, the significant anti-apoptotic effect of 60 s CAP treatment could be seen at the transcriptional level. The CAP induced down-regulation of p53 mRNA expression was 32,9 %. In addition, a downregulation of CASP9 and CASP3 mRNA by 30,2 % and 56,9 %, respectively, was observed after 60 s of CAP treatment at one day (Fig. 1c). In order to study the effects of CAP on the gene expression on apoptotic markers in inflammation, IL-1β pre-incubated cells were treated with CAP. Our data showed, that CAP counteracted the IL-1β-induced overexpression of inflammation- and apoptosis-related genes. Under inflammatory condition, 60 s of CAP application led to a significant reduction of p53, CASP9, and CASP3 at one day. The downregulating effect was strongest for p53, which was 33 %. Another strong effect was shown for CASP3 mRNA expression: CAP treatment of IL-1β pre-incubated cells resulted in a downregulation by 21,8 %. (Fig. 1b). Similar results were observed for STS preincubated cells. Especially in such an apoptotic environment, the significant anti-apoptotic effect of 60 s CAP treatment could be seen at the transcriptional level. The CAP induced down-regulation of p53 mRNA expression was 32,9 %. In addition, a downregulation of CASP9 and CASP3 mRNA by 30,2 % and 56,9 %, respectively, was observed after 60 s of CAP treatment at one day (Fig. 1c). Effect of CAP on p53 nuclear translocation and APAF-1 protein levels Additionally, a p53 nuclear translocation and accumulation was observed after CAP treatment of the cells, with the highest level at 30 min post treatment (Fig. 2a). Furthermore, p53 expression was shown by immunofluorescence at 1 d, visualizing a nearly reduced expression (Fig. 2b). By visualizing the total protein level of APAF-1 protein after CAP application, a slight increase with a peak after 30 min and a subsequent decrease could be observed (Fig. 2c). Fig. 2Stimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control Stimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control Additionally, a p53 nuclear translocation and accumulation was observed after CAP treatment of the cells, with the highest level at 30 min post treatment (Fig. 2a). Furthermore, p53 expression was shown by immunofluorescence at 1 d, visualizing a nearly reduced expression (Fig. 2b). By visualizing the total protein level of APAF-1 protein after CAP application, a slight increase with a peak after 30 min and a subsequent decrease could be observed (Fig. 2c). Fig. 2Stimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control Stimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control Influence of CAP on cell morphology As visualized by fluorescence microscopy, exposure of cells to CAP caused changes of the cytoskeleton at one day (Fig. 3a). The cells changed their morphology from spindle-shaped to polygonal and had more lamellipodia and filopodia. The area of the cells increased by 38 % on average, why the aspect ratio (major axis/minor axis) decreased by 32,2 %. Effects of CAP application on the morphology and apoptosis of cultured human osteoblast-like cells at 1 d. a Actin cytoskeleton of osteoblast-like cells, untreated (CAP -) and treated (CAP +) for 60 s. Cytoskeleton and nucleus are stained with FITC conjugated phalloidin (green) and DAPI (blue), respectively, (n = 3). b Apoptotic effects in human osteoblast-like cells after 60 s of CAP treatment displayed by a Vybrant apoptosis assay. Results of flow cytometry analysis of osteoblast-like cell apoptosis after 24 h of treatment with CAP (CAP +) as compared to untreated cells (CAP -). STS preincubated cells (STS +) served as positive control. Flow cytometry was performed after cells were stained with Annexin-FITC and propidium iodide using Vybrant Apoptosis assay kit, (n = 3). * statistical significance to positive control (p < 0.05) As visualized by fluorescence microscopy, exposure of cells to CAP caused changes of the cytoskeleton at one day (Fig. 3a). The cells changed their morphology from spindle-shaped to polygonal and had more lamellipodia and filopodia. The area of the cells increased by 38 % on average, why the aspect ratio (major axis/minor axis) decreased by 32,2 %. Effects of CAP application on the morphology and apoptosis of cultured human osteoblast-like cells at 1 d. a Actin cytoskeleton of osteoblast-like cells, untreated (CAP -) and treated (CAP +) for 60 s. Cytoskeleton and nucleus are stained with FITC conjugated phalloidin (green) and DAPI (blue), respectively, (n = 3). b Apoptotic effects in human osteoblast-like cells after 60 s of CAP treatment displayed by a Vybrant apoptosis assay. Results of flow cytometry analysis of osteoblast-like cell apoptosis after 24 h of treatment with CAP (CAP +) as compared to untreated cells (CAP -). STS preincubated cells (STS +) served as positive control. Flow cytometry was performed after cells were stained with Annexin-FITC and propidium iodide using Vybrant Apoptosis assay kit, (n = 3). * statistical significance to positive control (p < 0.05) Actions of CAP on apoptosis Furthermore, anti-apoptotic CAP influence was displayed by flow cytometry: approximately 93.5 % of cells were viable, which was similar to untreated cells (93.1 %; Fig. 3b). These results were also confirmed by immunofluorescence, demonstrating, that CAP had no regulatory effect on the numbers of apoptotic or dead cells at 1 h, 4 and 24 h after treatment (data not shown). Furthermore, anti-apoptotic CAP influence was displayed by flow cytometry: approximately 93.5 % of cells were viable, which was similar to untreated cells (93.1 %; Fig. 3b). These results were also confirmed by immunofluorescence, demonstrating, that CAP had no regulatory effect on the numbers of apoptotic or dead cells at 1 h, 4 and 24 h after treatment (data not shown). Influence of CAP on specific signaling pathways To better understand the intracellular mechanisms of CAP-dependent down-regulation of CASP9 and CASP3 gene expression, we incubated the cells with a MEK 1/2 and a PI3K inhibitor, both regulating anti-apoptotic processes. Blocking the MEK 1/2 pathway counteracted CAP-induced downregulation of CASP9 (Fig. 4a). Furthermore, the anti-apoptotic effect of CAP on CASP9 was also blocked after application of a PI3K inhibitor (Fig. 4b). Similar effects were observed for the gene expression of CASP3, but to a lower extent (data not shown). Fig. 4Analysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05) Analysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05) To better understand the intracellular mechanisms of CAP-dependent down-regulation of CASP9 and CASP3 gene expression, we incubated the cells with a MEK 1/2 and a PI3K inhibitor, both regulating anti-apoptotic processes. Blocking the MEK 1/2 pathway counteracted CAP-induced downregulation of CASP9 (Fig. 4a). Furthermore, the anti-apoptotic effect of CAP on CASP9 was also blocked after application of a PI3K inhibitor (Fig. 4b). Similar effects were observed for the gene expression of CASP3, but to a lower extent (data not shown). Fig. 4Analysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05) Analysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05) Regulation of caspase-3 activity by CAP To confirm the above gene expression results, caspase-3 activity of CAP-treated and non-CAP-treated cells was determined. Compared to untreated cells, there was a slight time-dependent decrease in Caspase 3 activity at 1 d, which was approximately 30 % lower after 60 s of treatment (Fig. 4c). An even more significant downregulation of caspase-3 activity could be achieved by pre-incubating the cells with STS. In this apoptotic environment, caspase-3 activity was downregulated by 20 % after 30 s of CAP treatment and by 36 % after 60 s of CAP treatment at one day (Fig. 4d). To confirm the above gene expression results, caspase-3 activity of CAP-treated and non-CAP-treated cells was determined. Compared to untreated cells, there was a slight time-dependent decrease in Caspase 3 activity at 1 d, which was approximately 30 % lower after 60 s of treatment (Fig. 4c). An even more significant downregulation of caspase-3 activity could be achieved by pre-incubating the cells with STS. In this apoptotic environment, caspase-3 activity was downregulated by 20 % after 30 s of CAP treatment and by 36 % after 60 s of CAP treatment at one day (Fig. 4d).
Conclusions
Short CAP application on osteoblast-like cells resulted in a reduced apoptosis and downregulated expression of apoptotic markers in an inflammatory and apoptotic environment. Additionally, CAP treatment led to changes in cell morphology. Therefore, our data suggest that CAP may serve patients with chronic hard-tissue wounds.
[ "Background", "Methods", "Cell culture and treatment", "CAP application", "Analysis of gene expression", "Analysis of p53 nuclear translocation", "Immunoblotting assay", "Analysis of cell morphology", "Vybrant apoptosis assay", "Inhibition of specific signaling pathway", "Caspase-3 assay", "Statistical analysis", "Effect of CAP on gene expression of markers of apoptosis", "Effect of CAP on the gene expression of apoptotic molecules under inflammatory and apoptotic conditions", "Effect of CAP on p53 nuclear translocation and APAF-1 protein levels", "Influence of CAP on cell morphology", "Actions of CAP on apoptosis", "Influence of CAP on specific signaling pathways", "Regulation of caspase-3 activity by CAP" ]
[ "The healing of hard and soft tissue areas is a complex interplay between many upregulated factors in order to regenerate the former anatomic structure. Especially, the healing of bone is a complicated and long-term process, involving many different mechanisms like the growth of new blood vessels, the aggregation of mesenchymal stem cells, the differentiation of osteoblasts and the formation of the extracellular matrix [1, 2]. Whenever the wound healing does not take place in a normal way, which can occur at multiple steps along the cascade, a chronic wound may result. Apart from the fact of being an enormous psychological burden for the patient, the continuous treatment is also expensive for the healthcare system [3]. Chronic wounds have a high proportion of inflammatory, damaged or dead cells, which are usually cleared by macrophages [4]. Another important process involved in damaged cells removal is apoptosis also known as programmed cell death. Apoptosis can be induced by an extrinsic and intrinsic pathway [5, 6]. The extrinsic pathway can be initiated by molecules such as Tumor Necrosis Factor (TNF)α, which modulate an apoptotic cascade, which finally leads to the activation of CASP3. The intrinsic pathway can be triggered by cell stress, which leads to the activation of reactive oxygen species (ROS) or the release of p53 caused by DNA damage. The process results in the release of apoptogenic factors, such as cytochrome c, and apoptotic protease activating factor (APAF)-1, and an activation of caspase (CASP)9 and CASP3. CASP3 activation causes instability of cell membranes and fragmentation of DNA [7–9]. The apoptotic cascade is further modulated by anti-apoptotic genes, such as BCL2 Antagonist/Killer (BAK)1, or anti-apoptotic genes, such as B-Cell Lymphoma (BCL)2 [10].\nCurrently, CAP, being generated by inert gas or the ambient air as the fourth state of matter, has been shown to improve wound tissue healing - it seems to be a promising therapeutic approach for non-healing inflammatory wounds [11–13]. Though the specific effects of CAP need to be unrevealed, the CAP treatment of tissues seems to trigger a number of cellular mechanisms: in vitro-studies show a stimulating effect of CAP on human periodontal cells, keratinocytes and fibroblasts by upregulating certain genes and increasing cell migration and viability [14–17]. Additionally, CAP has been shown to enhance cell adhesion onto pre-treated surfaces [18–21]. However, apoptotic effects of CAP have also been described in the literature, which might represent promising approaches in cancer-therapy [22, 23]. CAP promotes the development of ROS and reactive nitrogen species which can induce apoptosis in some types of malignant cells via the intrinsic pathway as described above [24, 25]. Interestingly, CAP does not seem to affect healthy cells [26].\nIn our recent study we demonstrated, that CAP positively influences the wound healing in human osteoblast-like cells by stimulating proliferation and by increasing cell migration and viability [27]. However, the underlying molecular mechanisms of CAP on cell death in healthy cells are still unknown. Therefore, the aim of the present study was to analyze the effect of CAP on cell viability and death in this primary human osteoblast cell line, in order to study the effects of CAP-treatment on hard tissue.", "Cell culture and treatment Human osteoblast-like cells (ATCC, CRL-1427™; Sigma-Aldrich, Taufkirchen, Germany) were cultured in Dulbecco’s modified essential medium (DMEM, Invitrogen, Germany) supplemented with 10 % fetal bovine serum (FBS, Invitrogen), 100 units penicillin, and 100 µg/mL streptomycin (Invitrogen) at 37°C in a humidified atmosphere of 5 % CO2 and 95 % humidity. For further studies, cells were seeded into 35 × 10 mm petri dishes and cultured to 70 % confluence. Cell culture medium was replaced every 2 days. For each experiment, FBS concentration was reduced to 1 % one day prior to the start of the experiment.\nHuman osteoblast-like cells (ATCC, CRL-1427™; Sigma-Aldrich, Taufkirchen, Germany) were cultured in Dulbecco’s modified essential medium (DMEM, Invitrogen, Germany) supplemented with 10 % fetal bovine serum (FBS, Invitrogen), 100 units penicillin, and 100 µg/mL streptomycin (Invitrogen) at 37°C in a humidified atmosphere of 5 % CO2 and 95 % humidity. For further studies, cells were seeded into 35 × 10 mm petri dishes and cultured to 70 % confluence. Cell culture medium was replaced every 2 days. For each experiment, FBS concentration was reduced to 1 % one day prior to the start of the experiment.\nCAP application CAP was generated by a dielectric barrier discharge (Plasma ONE MEDICAL, Plasma MEDICAL SYSTEMS® GmbH, Nievern, Germany). Pulsed direct current (35 V) is transformed to high voltage resulting in an electric field, which forms the plasma. The CAP can be used at five levels of intensity (20 %, 40 %, 60 %, 80 %, 100 %), modulating the high voltage (3–18 kV). Osteoblast-like cells were exposed to CAP for 60 s as previously described [17]. Optimal time, intensity and distance were selected after preliminary experiments. To analyze the CAP effects in an inflammatory or apoptotic environment in vitro, in a separate experimental set, cells were pre-treated prior to the CAP application either with human recombinant interleukin (IL)-1β (PromoKine, Heidelberg, Germany; 1 ng/ml) or with staurosporine (STS, Sigma-Aldrich; 10 nM) one h before CAP application.\nCAP was generated by a dielectric barrier discharge (Plasma ONE MEDICAL, Plasma MEDICAL SYSTEMS® GmbH, Nievern, Germany). Pulsed direct current (35 V) is transformed to high voltage resulting in an electric field, which forms the plasma. The CAP can be used at five levels of intensity (20 %, 40 %, 60 %, 80 %, 100 %), modulating the high voltage (3–18 kV). Osteoblast-like cells were exposed to CAP for 60 s as previously described [17]. Optimal time, intensity and distance were selected after preliminary experiments. To analyze the CAP effects in an inflammatory or apoptotic environment in vitro, in a separate experimental set, cells were pre-treated prior to the CAP application either with human recombinant interleukin (IL)-1β (PromoKine, Heidelberg, Germany; 1 ng/ml) or with staurosporine (STS, Sigma-Aldrich; 10 nM) one h before CAP application.\nAnalysis of gene expression 24 h after CAP application total RNA was extracted using an RNA extraction kit (Qiagen, Hilden, Germany). RNA (1 µg) was reverse transcribed into cDNA by use of iScript™ Select cDNA Synthesis Kit (Bio-Rad Laboratories, Munich, Germany) at 42°C for 90 min followed by 85°C for five min. One µl of cDNA was amplified as a template in a 25 µl reaction mixture containing 12.5 µl SsoAdvanced™ Universal SYBR® Green Supermix (Bio-Rad), 2.5 µl of specific commercially available primers (0.5 µM each; predesigned QuantiTect Primer Assay, Qiagen), and 9 µl deionized water. The mixture was at first heated at 95°C for 5 min, and then followed by 40 cycles with denaturation at 95°C for 10 s and combined annealing/extension at 60°C for 30 s. Expressions of p53, APAF-1, CASP9, CASP3, BAK1 and BCL2 mRNA were detected by real-time PCR using the iCycler iQ™5 detection system (Bio-Rad). Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as an endogenous control. The data were analyzed by the comparative threshold cycle method.\n24 h after CAP application total RNA was extracted using an RNA extraction kit (Qiagen, Hilden, Germany). RNA (1 µg) was reverse transcribed into cDNA by use of iScript™ Select cDNA Synthesis Kit (Bio-Rad Laboratories, Munich, Germany) at 42°C for 90 min followed by 85°C for five min. One µl of cDNA was amplified as a template in a 25 µl reaction mixture containing 12.5 µl SsoAdvanced™ Universal SYBR® Green Supermix (Bio-Rad), 2.5 µl of specific commercially available primers (0.5 µM each; predesigned QuantiTect Primer Assay, Qiagen), and 9 µl deionized water. The mixture was at first heated at 95°C for 5 min, and then followed by 40 cycles with denaturation at 95°C for 10 s and combined annealing/extension at 60°C for 30 s. Expressions of p53, APAF-1, CASP9, CASP3, BAK1 and BCL2 mRNA were detected by real-time PCR using the iCycler iQ™5 detection system (Bio-Rad). Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as an endogenous control. The data were analyzed by the comparative threshold cycle method.\nAnalysis of p53 nuclear translocation Osteoblast-like cells were seeded on glass coverslips (Thermo Fisher Scientific Inc., Schwerte, Germany) and propagated until 70 % of confluence was achieved. Cells were treated with CAP as described above. After 15 min, 30 and 60 min cells were washed twice with 1x PBS (Invitrogen) and fixed with 4 % paraformaldehyde (Sigma-Aldrich) at pH 7.4 and room temperature for 10 min. After another washing step cells were permeabilized in 0.1 % Triton X-100 (Sigma-Aldrich) for 5 min. Next, the cells were washed again and blocked with 5 % BSA in PBS for 60 min to reduce the background staining. Afterwards, the cells were incubated with rabbit anti-p53 primary antibody (Abcam, Berlin, Germany; 1:200) at 4 °C overnight. Following another rinsing step, the cells were incubated with CY3-conjugated goat anti-rabbit IgG secondary antibody (Abcam; 1:1000) at room temperature for 45 min. Finally, location of p53 within the stained cells was analysed with the ZOE™ Fluorescent Cell Imager (Bio-Rad). The images were captured with an integrated digital 5MP CMOS camera.\nOsteoblast-like cells were seeded on glass coverslips (Thermo Fisher Scientific Inc., Schwerte, Germany) and propagated until 70 % of confluence was achieved. Cells were treated with CAP as described above. After 15 min, 30 and 60 min cells were washed twice with 1x PBS (Invitrogen) and fixed with 4 % paraformaldehyde (Sigma-Aldrich) at pH 7.4 and room temperature for 10 min. After another washing step cells were permeabilized in 0.1 % Triton X-100 (Sigma-Aldrich) for 5 min. Next, the cells were washed again and blocked with 5 % BSA in PBS for 60 min to reduce the background staining. Afterwards, the cells were incubated with rabbit anti-p53 primary antibody (Abcam, Berlin, Germany; 1:200) at 4 °C overnight. Following another rinsing step, the cells were incubated with CY3-conjugated goat anti-rabbit IgG secondary antibody (Abcam; 1:1000) at room temperature for 45 min. Finally, location of p53 within the stained cells was analysed with the ZOE™ Fluorescent Cell Imager (Bio-Rad). The images were captured with an integrated digital 5MP CMOS camera.\nImmunoblotting assay To study the regulatory effects of CAP on apoptotic activating factor in osteoblast-like cells, immunoblotting was performed. Cells were treated with CAP for 1 d. Whole protein lysate was prepared on ice by adding cell lysis buffer (Bio-Techne GmbH, Wiesbaden, Germany) containing freshly mixed protease inhibitor cocktail (Sigma-Aldrich) to the cells. Total protein concentration was quantified by using a BCA Protein Assay Reagent Kit (Pierce Biotechnology, Rockford, IL, USA) and a microplate spectrophotometer (PowerWave x, BioTek Instruments, Winooski, VT, USA) at 562 nm. 10 % SDS-PAGE gel was used to load an equal amount of proteins into each slot using an electrophoresis system (SE260 Mighty Small II Deluxe Mini Vertical Protein Electrophoresis Unit, Hoefer, Inc., Holliston, USA). After electrophoresis, the samples were transferred to nitrocellulose membranes (Bio-Rad Laboratories) using TE22 Mighty Small Transfer Tank (Hoefer, Inc.). Prior to primary antibody incubation, nonspecific background was blocked with 2.5 % BSA in 0.1 % TBS-T for one hour at room temperature. Subsequently, membranes were incubated with primary rabbit polyclonal anti-APAF-1 (ab2000, Abcam1:500) and anti-β-actin (ab227387, Abcam; 1:10,000) over-night at 4 °C. After several washing steps, membranes were incubated with goat anti-rabbit IgG (ab205718, Abcam; 1:10,000), an HRP-conjugated secondary antibody, for 45 min at room temperature. Detection of the immune-reactive bands was performed with the enhanced chemiluminescence (ECL) Substrate (Pierce). ImageJ software was used to quantify relative protein amounts and to normalize to β-actin levels.\nTo study the regulatory effects of CAP on apoptotic activating factor in osteoblast-like cells, immunoblotting was performed. Cells were treated with CAP for 1 d. Whole protein lysate was prepared on ice by adding cell lysis buffer (Bio-Techne GmbH, Wiesbaden, Germany) containing freshly mixed protease inhibitor cocktail (Sigma-Aldrich) to the cells. Total protein concentration was quantified by using a BCA Protein Assay Reagent Kit (Pierce Biotechnology, Rockford, IL, USA) and a microplate spectrophotometer (PowerWave x, BioTek Instruments, Winooski, VT, USA) at 562 nm. 10 % SDS-PAGE gel was used to load an equal amount of proteins into each slot using an electrophoresis system (SE260 Mighty Small II Deluxe Mini Vertical Protein Electrophoresis Unit, Hoefer, Inc., Holliston, USA). After electrophoresis, the samples were transferred to nitrocellulose membranes (Bio-Rad Laboratories) using TE22 Mighty Small Transfer Tank (Hoefer, Inc.). Prior to primary antibody incubation, nonspecific background was blocked with 2.5 % BSA in 0.1 % TBS-T for one hour at room temperature. Subsequently, membranes were incubated with primary rabbit polyclonal anti-APAF-1 (ab2000, Abcam1:500) and anti-β-actin (ab227387, Abcam; 1:10,000) over-night at 4 °C. After several washing steps, membranes were incubated with goat anti-rabbit IgG (ab205718, Abcam; 1:10,000), an HRP-conjugated secondary antibody, for 45 min at room temperature. Detection of the immune-reactive bands was performed with the enhanced chemiluminescence (ECL) Substrate (Pierce). ImageJ software was used to quantify relative protein amounts and to normalize to β-actin levels.\nAnalysis of cell morphology Osteoblast-like cells were seeded on glass coverslips as described above. As soon as the monolayer reached 70 % of confluence, medium was replaced by reduced serum-containing medium as described above and were treated with CAP. Morphological modification of CAP-treated cells was analyzed with a double Phalloidin and DAPI staining after 24 h. Fixed and permeabilized cell monolayers were incubated with fluorescent conjugates of Phalloidin (Sigma-Aldrich, 100 µM) for 60 min in order to label the actin filaments. Next, Phalloidin working solution was aspirated, and DAPI working solution (Sigma-Aldrich, 1 µg/ml) was added for 5 min to the cells to label DNA. Finally, after another rinsing, stained cells were visualized with the ZOE™ Fluorescent Cell Imager (Bio-Rad) as described above. Analysis of cell morphology was performed using ImageJ software by measuring cell area and aspect ratio (major axis/minor axis). For the measurements, 5 slides each were randomly selected.\nOsteoblast-like cells were seeded on glass coverslips as described above. As soon as the monolayer reached 70 % of confluence, medium was replaced by reduced serum-containing medium as described above and were treated with CAP. Morphological modification of CAP-treated cells was analyzed with a double Phalloidin and DAPI staining after 24 h. Fixed and permeabilized cell monolayers were incubated with fluorescent conjugates of Phalloidin (Sigma-Aldrich, 100 µM) for 60 min in order to label the actin filaments. Next, Phalloidin working solution was aspirated, and DAPI working solution (Sigma-Aldrich, 1 µg/ml) was added for 5 min to the cells to label DNA. Finally, after another rinsing, stained cells were visualized with the ZOE™ Fluorescent Cell Imager (Bio-Rad) as described above. Analysis of cell morphology was performed using ImageJ software by measuring cell area and aspect ratio (major axis/minor axis). For the measurements, 5 slides each were randomly selected.\nVybrant apoptosis assay Cells were treated with Alexa Fluor® 488 annexin V/ propidium iodide (Vybrant® Apoptosis Assay Kit #2; Invitrogen) according to the manufacturer’s instructions 24 h after CAP application in order to determine the cytotoxicity of CAP by flow cytometric analysis with the Cytometer FC500 (Beckman coulter, Brea, CA, USA). STS (Sigma-Aldrich; 10 nM) treated cells served as positive control. Additionally, in a separate experimental set, controls and CAP-treated cells were also stained with the above kit components and subsequently the immunofluorescence was analyzed with the ZOE™ Fluorescent Cell Imager (Bio-Rad) at 1 h, 4 and 24 h after treatment.\nCells were treated with Alexa Fluor® 488 annexin V/ propidium iodide (Vybrant® Apoptosis Assay Kit #2; Invitrogen) according to the manufacturer’s instructions 24 h after CAP application in order to determine the cytotoxicity of CAP by flow cytometric analysis with the Cytometer FC500 (Beckman coulter, Brea, CA, USA). STS (Sigma-Aldrich; 10 nM) treated cells served as positive control. Additionally, in a separate experimental set, controls and CAP-treated cells were also stained with the above kit components and subsequently the immunofluorescence was analyzed with the ZOE™ Fluorescent Cell Imager (Bio-Rad) at 1 h, 4 and 24 h after treatment.\nInhibition of specific signaling pathway To reveal the intracellular signaling pathways involved in the effects of CAP on apoptosis regulation, cells were pre-treated with different inhibitors MEK1/2 (U0126; 10 µM; Calbiochem, San Diego, CA, USA) or PI3K (LY294002; 50 µM; Sigma-Aldrich), respectively, 60 min prior to CAP exposure in an additional experimental set. Subsequently, gene regulation of CASP9 and CASP3 was analyzed by real-time PCR.\nTo reveal the intracellular signaling pathways involved in the effects of CAP on apoptosis regulation, cells were pre-treated with different inhibitors MEK1/2 (U0126; 10 µM; Calbiochem, San Diego, CA, USA) or PI3K (LY294002; 50 µM; Sigma-Aldrich), respectively, 60 min prior to CAP exposure in an additional experimental set. Subsequently, gene regulation of CASP9 and CASP3 was analyzed by real-time PCR.\nCaspase-3 assay Cells were cultured as previously described and treated with CAP for 30 and 60 s, respectively. Additionally, cells were treated with STS (Sigma-Aldrich; 10 nM) and after 60 min with CAP. Caspase-3 activity was quantified using the colorimetric kit Caspase-3 Assay Kit (Abcam) according to the manufacturer’s protocol at one day. A microplate spectrophotometer (BioTek Instruments) was used at 405 nm to measure the optical density.\nCells were cultured as previously described and treated with CAP for 30 and 60 s, respectively. Additionally, cells were treated with STS (Sigma-Aldrich; 10 nM) and after 60 min with CAP. Caspase-3 activity was quantified using the colorimetric kit Caspase-3 Assay Kit (Abcam) according to the manufacturer’s protocol at one day. A microplate spectrophotometer (BioTek Instruments) was used at 405 nm to measure the optical density.\nStatistical analysis All experiments were performed in triplicates and repeated at least twice by calculating mean values and standard errors of the mean. GraphPad Prism Software (GraphPad Software, San Diego, USA) was used for statistical analysis with Kruskal-Wallis, and Mann-Whitney U-tests with Bonferroni-Holm correction (p < 0.05).\nAll experiments were performed in triplicates and repeated at least twice by calculating mean values and standard errors of the mean. GraphPad Prism Software (GraphPad Software, San Diego, USA) was used for statistical analysis with Kruskal-Wallis, and Mann-Whitney U-tests with Bonferroni-Holm correction (p < 0.05).", "Human osteoblast-like cells (ATCC, CRL-1427™; Sigma-Aldrich, Taufkirchen, Germany) were cultured in Dulbecco’s modified essential medium (DMEM, Invitrogen, Germany) supplemented with 10 % fetal bovine serum (FBS, Invitrogen), 100 units penicillin, and 100 µg/mL streptomycin (Invitrogen) at 37°C in a humidified atmosphere of 5 % CO2 and 95 % humidity. For further studies, cells were seeded into 35 × 10 mm petri dishes and cultured to 70 % confluence. Cell culture medium was replaced every 2 days. For each experiment, FBS concentration was reduced to 1 % one day prior to the start of the experiment.", "CAP was generated by a dielectric barrier discharge (Plasma ONE MEDICAL, Plasma MEDICAL SYSTEMS® GmbH, Nievern, Germany). Pulsed direct current (35 V) is transformed to high voltage resulting in an electric field, which forms the plasma. The CAP can be used at five levels of intensity (20 %, 40 %, 60 %, 80 %, 100 %), modulating the high voltage (3–18 kV). Osteoblast-like cells were exposed to CAP for 60 s as previously described [17]. Optimal time, intensity and distance were selected after preliminary experiments. To analyze the CAP effects in an inflammatory or apoptotic environment in vitro, in a separate experimental set, cells were pre-treated prior to the CAP application either with human recombinant interleukin (IL)-1β (PromoKine, Heidelberg, Germany; 1 ng/ml) or with staurosporine (STS, Sigma-Aldrich; 10 nM) one h before CAP application.", "24 h after CAP application total RNA was extracted using an RNA extraction kit (Qiagen, Hilden, Germany). RNA (1 µg) was reverse transcribed into cDNA by use of iScript™ Select cDNA Synthesis Kit (Bio-Rad Laboratories, Munich, Germany) at 42°C for 90 min followed by 85°C for five min. One µl of cDNA was amplified as a template in a 25 µl reaction mixture containing 12.5 µl SsoAdvanced™ Universal SYBR® Green Supermix (Bio-Rad), 2.5 µl of specific commercially available primers (0.5 µM each; predesigned QuantiTect Primer Assay, Qiagen), and 9 µl deionized water. The mixture was at first heated at 95°C for 5 min, and then followed by 40 cycles with denaturation at 95°C for 10 s and combined annealing/extension at 60°C for 30 s. Expressions of p53, APAF-1, CASP9, CASP3, BAK1 and BCL2 mRNA were detected by real-time PCR using the iCycler iQ™5 detection system (Bio-Rad). Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as an endogenous control. The data were analyzed by the comparative threshold cycle method.", "Osteoblast-like cells were seeded on glass coverslips (Thermo Fisher Scientific Inc., Schwerte, Germany) and propagated until 70 % of confluence was achieved. Cells were treated with CAP as described above. After 15 min, 30 and 60 min cells were washed twice with 1x PBS (Invitrogen) and fixed with 4 % paraformaldehyde (Sigma-Aldrich) at pH 7.4 and room temperature for 10 min. After another washing step cells were permeabilized in 0.1 % Triton X-100 (Sigma-Aldrich) for 5 min. Next, the cells were washed again and blocked with 5 % BSA in PBS for 60 min to reduce the background staining. Afterwards, the cells were incubated with rabbit anti-p53 primary antibody (Abcam, Berlin, Germany; 1:200) at 4 °C overnight. Following another rinsing step, the cells were incubated with CY3-conjugated goat anti-rabbit IgG secondary antibody (Abcam; 1:1000) at room temperature for 45 min. Finally, location of p53 within the stained cells was analysed with the ZOE™ Fluorescent Cell Imager (Bio-Rad). The images were captured with an integrated digital 5MP CMOS camera.", "To study the regulatory effects of CAP on apoptotic activating factor in osteoblast-like cells, immunoblotting was performed. Cells were treated with CAP for 1 d. Whole protein lysate was prepared on ice by adding cell lysis buffer (Bio-Techne GmbH, Wiesbaden, Germany) containing freshly mixed protease inhibitor cocktail (Sigma-Aldrich) to the cells. Total protein concentration was quantified by using a BCA Protein Assay Reagent Kit (Pierce Biotechnology, Rockford, IL, USA) and a microplate spectrophotometer (PowerWave x, BioTek Instruments, Winooski, VT, USA) at 562 nm. 10 % SDS-PAGE gel was used to load an equal amount of proteins into each slot using an electrophoresis system (SE260 Mighty Small II Deluxe Mini Vertical Protein Electrophoresis Unit, Hoefer, Inc., Holliston, USA). After electrophoresis, the samples were transferred to nitrocellulose membranes (Bio-Rad Laboratories) using TE22 Mighty Small Transfer Tank (Hoefer, Inc.). Prior to primary antibody incubation, nonspecific background was blocked with 2.5 % BSA in 0.1 % TBS-T for one hour at room temperature. Subsequently, membranes were incubated with primary rabbit polyclonal anti-APAF-1 (ab2000, Abcam1:500) and anti-β-actin (ab227387, Abcam; 1:10,000) over-night at 4 °C. After several washing steps, membranes were incubated with goat anti-rabbit IgG (ab205718, Abcam; 1:10,000), an HRP-conjugated secondary antibody, for 45 min at room temperature. Detection of the immune-reactive bands was performed with the enhanced chemiluminescence (ECL) Substrate (Pierce). ImageJ software was used to quantify relative protein amounts and to normalize to β-actin levels.", "Osteoblast-like cells were seeded on glass coverslips as described above. As soon as the monolayer reached 70 % of confluence, medium was replaced by reduced serum-containing medium as described above and were treated with CAP. Morphological modification of CAP-treated cells was analyzed with a double Phalloidin and DAPI staining after 24 h. Fixed and permeabilized cell monolayers were incubated with fluorescent conjugates of Phalloidin (Sigma-Aldrich, 100 µM) for 60 min in order to label the actin filaments. Next, Phalloidin working solution was aspirated, and DAPI working solution (Sigma-Aldrich, 1 µg/ml) was added for 5 min to the cells to label DNA. Finally, after another rinsing, stained cells were visualized with the ZOE™ Fluorescent Cell Imager (Bio-Rad) as described above. Analysis of cell morphology was performed using ImageJ software by measuring cell area and aspect ratio (major axis/minor axis). For the measurements, 5 slides each were randomly selected.", "Cells were treated with Alexa Fluor® 488 annexin V/ propidium iodide (Vybrant® Apoptosis Assay Kit #2; Invitrogen) according to the manufacturer’s instructions 24 h after CAP application in order to determine the cytotoxicity of CAP by flow cytometric analysis with the Cytometer FC500 (Beckman coulter, Brea, CA, USA). STS (Sigma-Aldrich; 10 nM) treated cells served as positive control. Additionally, in a separate experimental set, controls and CAP-treated cells were also stained with the above kit components and subsequently the immunofluorescence was analyzed with the ZOE™ Fluorescent Cell Imager (Bio-Rad) at 1 h, 4 and 24 h after treatment.", "To reveal the intracellular signaling pathways involved in the effects of CAP on apoptosis regulation, cells were pre-treated with different inhibitors MEK1/2 (U0126; 10 µM; Calbiochem, San Diego, CA, USA) or PI3K (LY294002; 50 µM; Sigma-Aldrich), respectively, 60 min prior to CAP exposure in an additional experimental set. Subsequently, gene regulation of CASP9 and CASP3 was analyzed by real-time PCR.", "Cells were cultured as previously described and treated with CAP for 30 and 60 s, respectively. Additionally, cells were treated with STS (Sigma-Aldrich; 10 nM) and after 60 min with CAP. Caspase-3 activity was quantified using the colorimetric kit Caspase-3 Assay Kit (Abcam) according to the manufacturer’s protocol at one day. A microplate spectrophotometer (BioTek Instruments) was used at 405 nm to measure the optical density.", "All experiments were performed in triplicates and repeated at least twice by calculating mean values and standard errors of the mean. GraphPad Prism Software (GraphPad Software, San Diego, USA) was used for statistical analysis with Kruskal-Wallis, and Mann-Whitney U-tests with Bonferroni-Holm correction (p < 0.05).", "Since CAP has been described to have a stimulating effect on multiple cells, we examined a possible anti-apoptotic effect of CAP on the gene regulation in osteoblast-like cells. Regulation of critical apoptotic molecules like APAF-1, CASP9 and CASP3, and cellular tumor antigen p53, was measured at the transcriptional level 1 d after CAP application. CAP treatment resulted in a significant time-dependent decrease of p53. The effect was 20 % for 30 s and 30 % for 60 s as compared to control at 1 d. Furthermore, CAP downregulated significantly APAF-1 by 18,4 % (30 s treatment) and by 62,6 % (60 s treatment) as compared to untreated cells at 1 d. Moreover, CAP resulted in a significant downregulation of CASP9 and CASP3 by 24 % and 31,8 %, respectively, after 60 s of treatment at 1 d. Similarly, for these genes, treatment for 30 s resulted in weaker downregulation of mRNA expression level compared to 60 s. In addition, we observed CAP effects on the proapoptotic marker BAK1, for which a downregulation of gene expression by 34,8 % was observed after 60 s of treatment. Interestingly, 60 s of CAP treatment led to an upregulation of BCL2, which plays an important role in antiapoptotic processes (Fig. 1a).\nmRNA-expression of apoptotic markers in human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d as compared to untreated cells (-). a mRNA-expression of p53, APAF-1, CASP9, CASP3, BAK1, and BCL2, (n = 9). b mRNA-expression of p53, APAF1, CASP9, and CASP3 in IL-1β preincubated human osteoblast-like cells, (n = 9). c mRNA-expression of p53, APAF1, CASP9, and CASP3 in STS preincubated human osteoblast-like cells, (n = 9). * statistical significance (p < 0.05)", "In order to study the effects of CAP on the gene expression on apoptotic markers in inflammation, IL-1β pre-incubated cells were treated with CAP. Our data showed, that CAP counteracted the IL-1β-induced overexpression of inflammation- and apoptosis-related genes. Under inflammatory condition, 60 s of CAP application led to a significant reduction of p53, CASP9, and CASP3 at one day. The downregulating effect was strongest for p53, which was 33 %. Another strong effect was shown for CASP3 mRNA expression: CAP treatment of IL-1β pre-incubated cells resulted in a downregulation by 21,8 %. (Fig. 1b).\nSimilar results were observed for STS preincubated cells. Especially in such an apoptotic environment, the significant anti-apoptotic effect of 60 s CAP treatment could be seen at the transcriptional level. The CAP induced down-regulation of p53 mRNA expression was 32,9 %. In addition, a downregulation of CASP9 and CASP3 mRNA by 30,2 % and 56,9 %, respectively, was observed after 60 s of CAP treatment at one day (Fig. 1c).", "Additionally, a p53 nuclear translocation and accumulation was observed after CAP treatment of the cells, with the highest level at 30 min post treatment (Fig. 2a). Furthermore, p53 expression was shown by immunofluorescence at 1 d, visualizing a nearly reduced expression (Fig. 2b). By visualizing the total protein level of APAF-1 protein after CAP application, a slight increase with a peak after 30 min and a subsequent decrease could be observed (Fig. 2c).\n\nFig. 2Stimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control\n\nStimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control", "As visualized by fluorescence microscopy, exposure of cells to CAP caused changes of the cytoskeleton at one day (Fig. 3a). The cells changed their morphology from spindle-shaped to polygonal and had more lamellipodia and filopodia. The area of the cells increased by 38 % on average, why the aspect ratio (major axis/minor axis) decreased by 32,2 %.\nEffects of CAP application on the morphology and apoptosis of cultured human osteoblast-like cells at 1 d. a Actin cytoskeleton of osteoblast-like cells, untreated (CAP -) and treated (CAP +) for 60 s. Cytoskeleton and nucleus are stained with FITC conjugated phalloidin (green) and DAPI (blue), respectively, (n = 3). b Apoptotic effects in human osteoblast-like cells after 60 s of CAP treatment displayed by a Vybrant apoptosis assay. Results of flow cytometry analysis of osteoblast-like cell apoptosis after 24 h of treatment with CAP (CAP +) as compared to untreated cells (CAP -). STS preincubated cells (STS +) served as positive control. Flow cytometry was performed after cells were stained with Annexin-FITC and propidium iodide using Vybrant Apoptosis assay kit, (n = 3). * statistical significance to positive control (p < 0.05)", "Furthermore, anti-apoptotic CAP influence was displayed by flow cytometry: approximately 93.5 % of cells were viable, which was similar to untreated cells (93.1 %; Fig. 3b). These results were also confirmed by immunofluorescence, demonstrating, that CAP had no regulatory effect on the numbers of apoptotic or dead cells at 1 h, 4 and 24 h after treatment (data not shown).", "To better understand the intracellular mechanisms of CAP-dependent down-regulation of CASP9 and CASP3 gene expression, we incubated the cells with a MEK 1/2 and a PI3K inhibitor, both regulating anti-apoptotic processes. Blocking the MEK 1/2 pathway counteracted CAP-induced downregulation of CASP9 (Fig. 4a). Furthermore, the anti-apoptotic effect of CAP on CASP9 was also blocked after application of a PI3K inhibitor (Fig. 4b). Similar effects were observed for the gene expression of CASP3, but to a lower extent (data not shown).\n\nFig. 4Analysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05)\n\nAnalysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05)", "To confirm the above gene expression results, caspase-3 activity of CAP-treated and non-CAP-treated cells was determined. Compared to untreated cells, there was a slight time-dependent decrease in Caspase 3 activity at 1 d, which was approximately 30 % lower after 60 s of treatment (Fig. 4c). An even more significant downregulation of caspase-3 activity could be achieved by pre-incubating the cells with STS. In this apoptotic environment, caspase-3 activity was downregulated by 20 % after 30 s of CAP treatment and by 36 % after 60 s of CAP treatment at one day (Fig. 4d)." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Cell culture and treatment", "CAP application", "Analysis of gene expression", "Analysis of p53 nuclear translocation", "Immunoblotting assay", "Analysis of cell morphology", "Vybrant apoptosis assay", "Inhibition of specific signaling pathway", "Caspase-3 assay", "Statistical analysis", "Results", "Effect of CAP on gene expression of markers of apoptosis", "Effect of CAP on the gene expression of apoptotic molecules under inflammatory and apoptotic conditions", "Effect of CAP on p53 nuclear translocation and APAF-1 protein levels", "Influence of CAP on cell morphology", "Actions of CAP on apoptosis", "Influence of CAP on specific signaling pathways", "Regulation of caspase-3 activity by CAP", "Discussion", "Conclusions" ]
[ "The healing of hard and soft tissue areas is a complex interplay between many upregulated factors in order to regenerate the former anatomic structure. Especially, the healing of bone is a complicated and long-term process, involving many different mechanisms like the growth of new blood vessels, the aggregation of mesenchymal stem cells, the differentiation of osteoblasts and the formation of the extracellular matrix [1, 2]. Whenever the wound healing does not take place in a normal way, which can occur at multiple steps along the cascade, a chronic wound may result. Apart from the fact of being an enormous psychological burden for the patient, the continuous treatment is also expensive for the healthcare system [3]. Chronic wounds have a high proportion of inflammatory, damaged or dead cells, which are usually cleared by macrophages [4]. Another important process involved in damaged cells removal is apoptosis also known as programmed cell death. Apoptosis can be induced by an extrinsic and intrinsic pathway [5, 6]. The extrinsic pathway can be initiated by molecules such as Tumor Necrosis Factor (TNF)α, which modulate an apoptotic cascade, which finally leads to the activation of CASP3. The intrinsic pathway can be triggered by cell stress, which leads to the activation of reactive oxygen species (ROS) or the release of p53 caused by DNA damage. The process results in the release of apoptogenic factors, such as cytochrome c, and apoptotic protease activating factor (APAF)-1, and an activation of caspase (CASP)9 and CASP3. CASP3 activation causes instability of cell membranes and fragmentation of DNA [7–9]. The apoptotic cascade is further modulated by anti-apoptotic genes, such as BCL2 Antagonist/Killer (BAK)1, or anti-apoptotic genes, such as B-Cell Lymphoma (BCL)2 [10].\nCurrently, CAP, being generated by inert gas or the ambient air as the fourth state of matter, has been shown to improve wound tissue healing - it seems to be a promising therapeutic approach for non-healing inflammatory wounds [11–13]. Though the specific effects of CAP need to be unrevealed, the CAP treatment of tissues seems to trigger a number of cellular mechanisms: in vitro-studies show a stimulating effect of CAP on human periodontal cells, keratinocytes and fibroblasts by upregulating certain genes and increasing cell migration and viability [14–17]. Additionally, CAP has been shown to enhance cell adhesion onto pre-treated surfaces [18–21]. However, apoptotic effects of CAP have also been described in the literature, which might represent promising approaches in cancer-therapy [22, 23]. CAP promotes the development of ROS and reactive nitrogen species which can induce apoptosis in some types of malignant cells via the intrinsic pathway as described above [24, 25]. Interestingly, CAP does not seem to affect healthy cells [26].\nIn our recent study we demonstrated, that CAP positively influences the wound healing in human osteoblast-like cells by stimulating proliferation and by increasing cell migration and viability [27]. However, the underlying molecular mechanisms of CAP on cell death in healthy cells are still unknown. Therefore, the aim of the present study was to analyze the effect of CAP on cell viability and death in this primary human osteoblast cell line, in order to study the effects of CAP-treatment on hard tissue.", "Cell culture and treatment Human osteoblast-like cells (ATCC, CRL-1427™; Sigma-Aldrich, Taufkirchen, Germany) were cultured in Dulbecco’s modified essential medium (DMEM, Invitrogen, Germany) supplemented with 10 % fetal bovine serum (FBS, Invitrogen), 100 units penicillin, and 100 µg/mL streptomycin (Invitrogen) at 37°C in a humidified atmosphere of 5 % CO2 and 95 % humidity. For further studies, cells were seeded into 35 × 10 mm petri dishes and cultured to 70 % confluence. Cell culture medium was replaced every 2 days. For each experiment, FBS concentration was reduced to 1 % one day prior to the start of the experiment.\nHuman osteoblast-like cells (ATCC, CRL-1427™; Sigma-Aldrich, Taufkirchen, Germany) were cultured in Dulbecco’s modified essential medium (DMEM, Invitrogen, Germany) supplemented with 10 % fetal bovine serum (FBS, Invitrogen), 100 units penicillin, and 100 µg/mL streptomycin (Invitrogen) at 37°C in a humidified atmosphere of 5 % CO2 and 95 % humidity. For further studies, cells were seeded into 35 × 10 mm petri dishes and cultured to 70 % confluence. Cell culture medium was replaced every 2 days. For each experiment, FBS concentration was reduced to 1 % one day prior to the start of the experiment.\nCAP application CAP was generated by a dielectric barrier discharge (Plasma ONE MEDICAL, Plasma MEDICAL SYSTEMS® GmbH, Nievern, Germany). Pulsed direct current (35 V) is transformed to high voltage resulting in an electric field, which forms the plasma. The CAP can be used at five levels of intensity (20 %, 40 %, 60 %, 80 %, 100 %), modulating the high voltage (3–18 kV). Osteoblast-like cells were exposed to CAP for 60 s as previously described [17]. Optimal time, intensity and distance were selected after preliminary experiments. To analyze the CAP effects in an inflammatory or apoptotic environment in vitro, in a separate experimental set, cells were pre-treated prior to the CAP application either with human recombinant interleukin (IL)-1β (PromoKine, Heidelberg, Germany; 1 ng/ml) or with staurosporine (STS, Sigma-Aldrich; 10 nM) one h before CAP application.\nCAP was generated by a dielectric barrier discharge (Plasma ONE MEDICAL, Plasma MEDICAL SYSTEMS® GmbH, Nievern, Germany). Pulsed direct current (35 V) is transformed to high voltage resulting in an electric field, which forms the plasma. The CAP can be used at five levels of intensity (20 %, 40 %, 60 %, 80 %, 100 %), modulating the high voltage (3–18 kV). Osteoblast-like cells were exposed to CAP for 60 s as previously described [17]. Optimal time, intensity and distance were selected after preliminary experiments. To analyze the CAP effects in an inflammatory or apoptotic environment in vitro, in a separate experimental set, cells were pre-treated prior to the CAP application either with human recombinant interleukin (IL)-1β (PromoKine, Heidelberg, Germany; 1 ng/ml) or with staurosporine (STS, Sigma-Aldrich; 10 nM) one h before CAP application.\nAnalysis of gene expression 24 h after CAP application total RNA was extracted using an RNA extraction kit (Qiagen, Hilden, Germany). RNA (1 µg) was reverse transcribed into cDNA by use of iScript™ Select cDNA Synthesis Kit (Bio-Rad Laboratories, Munich, Germany) at 42°C for 90 min followed by 85°C for five min. One µl of cDNA was amplified as a template in a 25 µl reaction mixture containing 12.5 µl SsoAdvanced™ Universal SYBR® Green Supermix (Bio-Rad), 2.5 µl of specific commercially available primers (0.5 µM each; predesigned QuantiTect Primer Assay, Qiagen), and 9 µl deionized water. The mixture was at first heated at 95°C for 5 min, and then followed by 40 cycles with denaturation at 95°C for 10 s and combined annealing/extension at 60°C for 30 s. Expressions of p53, APAF-1, CASP9, CASP3, BAK1 and BCL2 mRNA were detected by real-time PCR using the iCycler iQ™5 detection system (Bio-Rad). Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as an endogenous control. The data were analyzed by the comparative threshold cycle method.\n24 h after CAP application total RNA was extracted using an RNA extraction kit (Qiagen, Hilden, Germany). RNA (1 µg) was reverse transcribed into cDNA by use of iScript™ Select cDNA Synthesis Kit (Bio-Rad Laboratories, Munich, Germany) at 42°C for 90 min followed by 85°C for five min. One µl of cDNA was amplified as a template in a 25 µl reaction mixture containing 12.5 µl SsoAdvanced™ Universal SYBR® Green Supermix (Bio-Rad), 2.5 µl of specific commercially available primers (0.5 µM each; predesigned QuantiTect Primer Assay, Qiagen), and 9 µl deionized water. The mixture was at first heated at 95°C for 5 min, and then followed by 40 cycles with denaturation at 95°C for 10 s and combined annealing/extension at 60°C for 30 s. Expressions of p53, APAF-1, CASP9, CASP3, BAK1 and BCL2 mRNA were detected by real-time PCR using the iCycler iQ™5 detection system (Bio-Rad). Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as an endogenous control. The data were analyzed by the comparative threshold cycle method.\nAnalysis of p53 nuclear translocation Osteoblast-like cells were seeded on glass coverslips (Thermo Fisher Scientific Inc., Schwerte, Germany) and propagated until 70 % of confluence was achieved. Cells were treated with CAP as described above. After 15 min, 30 and 60 min cells were washed twice with 1x PBS (Invitrogen) and fixed with 4 % paraformaldehyde (Sigma-Aldrich) at pH 7.4 and room temperature for 10 min. After another washing step cells were permeabilized in 0.1 % Triton X-100 (Sigma-Aldrich) for 5 min. Next, the cells were washed again and blocked with 5 % BSA in PBS for 60 min to reduce the background staining. Afterwards, the cells were incubated with rabbit anti-p53 primary antibody (Abcam, Berlin, Germany; 1:200) at 4 °C overnight. Following another rinsing step, the cells were incubated with CY3-conjugated goat anti-rabbit IgG secondary antibody (Abcam; 1:1000) at room temperature for 45 min. Finally, location of p53 within the stained cells was analysed with the ZOE™ Fluorescent Cell Imager (Bio-Rad). The images were captured with an integrated digital 5MP CMOS camera.\nOsteoblast-like cells were seeded on glass coverslips (Thermo Fisher Scientific Inc., Schwerte, Germany) and propagated until 70 % of confluence was achieved. Cells were treated with CAP as described above. After 15 min, 30 and 60 min cells were washed twice with 1x PBS (Invitrogen) and fixed with 4 % paraformaldehyde (Sigma-Aldrich) at pH 7.4 and room temperature for 10 min. After another washing step cells were permeabilized in 0.1 % Triton X-100 (Sigma-Aldrich) for 5 min. Next, the cells were washed again and blocked with 5 % BSA in PBS for 60 min to reduce the background staining. Afterwards, the cells were incubated with rabbit anti-p53 primary antibody (Abcam, Berlin, Germany; 1:200) at 4 °C overnight. Following another rinsing step, the cells were incubated with CY3-conjugated goat anti-rabbit IgG secondary antibody (Abcam; 1:1000) at room temperature for 45 min. Finally, location of p53 within the stained cells was analysed with the ZOE™ Fluorescent Cell Imager (Bio-Rad). The images were captured with an integrated digital 5MP CMOS camera.\nImmunoblotting assay To study the regulatory effects of CAP on apoptotic activating factor in osteoblast-like cells, immunoblotting was performed. Cells were treated with CAP for 1 d. Whole protein lysate was prepared on ice by adding cell lysis buffer (Bio-Techne GmbH, Wiesbaden, Germany) containing freshly mixed protease inhibitor cocktail (Sigma-Aldrich) to the cells. Total protein concentration was quantified by using a BCA Protein Assay Reagent Kit (Pierce Biotechnology, Rockford, IL, USA) and a microplate spectrophotometer (PowerWave x, BioTek Instruments, Winooski, VT, USA) at 562 nm. 10 % SDS-PAGE gel was used to load an equal amount of proteins into each slot using an electrophoresis system (SE260 Mighty Small II Deluxe Mini Vertical Protein Electrophoresis Unit, Hoefer, Inc., Holliston, USA). After electrophoresis, the samples were transferred to nitrocellulose membranes (Bio-Rad Laboratories) using TE22 Mighty Small Transfer Tank (Hoefer, Inc.). Prior to primary antibody incubation, nonspecific background was blocked with 2.5 % BSA in 0.1 % TBS-T for one hour at room temperature. Subsequently, membranes were incubated with primary rabbit polyclonal anti-APAF-1 (ab2000, Abcam1:500) and anti-β-actin (ab227387, Abcam; 1:10,000) over-night at 4 °C. After several washing steps, membranes were incubated with goat anti-rabbit IgG (ab205718, Abcam; 1:10,000), an HRP-conjugated secondary antibody, for 45 min at room temperature. Detection of the immune-reactive bands was performed with the enhanced chemiluminescence (ECL) Substrate (Pierce). ImageJ software was used to quantify relative protein amounts and to normalize to β-actin levels.\nTo study the regulatory effects of CAP on apoptotic activating factor in osteoblast-like cells, immunoblotting was performed. Cells were treated with CAP for 1 d. Whole protein lysate was prepared on ice by adding cell lysis buffer (Bio-Techne GmbH, Wiesbaden, Germany) containing freshly mixed protease inhibitor cocktail (Sigma-Aldrich) to the cells. Total protein concentration was quantified by using a BCA Protein Assay Reagent Kit (Pierce Biotechnology, Rockford, IL, USA) and a microplate spectrophotometer (PowerWave x, BioTek Instruments, Winooski, VT, USA) at 562 nm. 10 % SDS-PAGE gel was used to load an equal amount of proteins into each slot using an electrophoresis system (SE260 Mighty Small II Deluxe Mini Vertical Protein Electrophoresis Unit, Hoefer, Inc., Holliston, USA). After electrophoresis, the samples were transferred to nitrocellulose membranes (Bio-Rad Laboratories) using TE22 Mighty Small Transfer Tank (Hoefer, Inc.). Prior to primary antibody incubation, nonspecific background was blocked with 2.5 % BSA in 0.1 % TBS-T for one hour at room temperature. Subsequently, membranes were incubated with primary rabbit polyclonal anti-APAF-1 (ab2000, Abcam1:500) and anti-β-actin (ab227387, Abcam; 1:10,000) over-night at 4 °C. After several washing steps, membranes were incubated with goat anti-rabbit IgG (ab205718, Abcam; 1:10,000), an HRP-conjugated secondary antibody, for 45 min at room temperature. Detection of the immune-reactive bands was performed with the enhanced chemiluminescence (ECL) Substrate (Pierce). ImageJ software was used to quantify relative protein amounts and to normalize to β-actin levels.\nAnalysis of cell morphology Osteoblast-like cells were seeded on glass coverslips as described above. As soon as the monolayer reached 70 % of confluence, medium was replaced by reduced serum-containing medium as described above and were treated with CAP. Morphological modification of CAP-treated cells was analyzed with a double Phalloidin and DAPI staining after 24 h. Fixed and permeabilized cell monolayers were incubated with fluorescent conjugates of Phalloidin (Sigma-Aldrich, 100 µM) for 60 min in order to label the actin filaments. Next, Phalloidin working solution was aspirated, and DAPI working solution (Sigma-Aldrich, 1 µg/ml) was added for 5 min to the cells to label DNA. Finally, after another rinsing, stained cells were visualized with the ZOE™ Fluorescent Cell Imager (Bio-Rad) as described above. Analysis of cell morphology was performed using ImageJ software by measuring cell area and aspect ratio (major axis/minor axis). For the measurements, 5 slides each were randomly selected.\nOsteoblast-like cells were seeded on glass coverslips as described above. As soon as the monolayer reached 70 % of confluence, medium was replaced by reduced serum-containing medium as described above and were treated with CAP. Morphological modification of CAP-treated cells was analyzed with a double Phalloidin and DAPI staining after 24 h. Fixed and permeabilized cell monolayers were incubated with fluorescent conjugates of Phalloidin (Sigma-Aldrich, 100 µM) for 60 min in order to label the actin filaments. Next, Phalloidin working solution was aspirated, and DAPI working solution (Sigma-Aldrich, 1 µg/ml) was added for 5 min to the cells to label DNA. Finally, after another rinsing, stained cells were visualized with the ZOE™ Fluorescent Cell Imager (Bio-Rad) as described above. Analysis of cell morphology was performed using ImageJ software by measuring cell area and aspect ratio (major axis/minor axis). For the measurements, 5 slides each were randomly selected.\nVybrant apoptosis assay Cells were treated with Alexa Fluor® 488 annexin V/ propidium iodide (Vybrant® Apoptosis Assay Kit #2; Invitrogen) according to the manufacturer’s instructions 24 h after CAP application in order to determine the cytotoxicity of CAP by flow cytometric analysis with the Cytometer FC500 (Beckman coulter, Brea, CA, USA). STS (Sigma-Aldrich; 10 nM) treated cells served as positive control. Additionally, in a separate experimental set, controls and CAP-treated cells were also stained with the above kit components and subsequently the immunofluorescence was analyzed with the ZOE™ Fluorescent Cell Imager (Bio-Rad) at 1 h, 4 and 24 h after treatment.\nCells were treated with Alexa Fluor® 488 annexin V/ propidium iodide (Vybrant® Apoptosis Assay Kit #2; Invitrogen) according to the manufacturer’s instructions 24 h after CAP application in order to determine the cytotoxicity of CAP by flow cytometric analysis with the Cytometer FC500 (Beckman coulter, Brea, CA, USA). STS (Sigma-Aldrich; 10 nM) treated cells served as positive control. Additionally, in a separate experimental set, controls and CAP-treated cells were also stained with the above kit components and subsequently the immunofluorescence was analyzed with the ZOE™ Fluorescent Cell Imager (Bio-Rad) at 1 h, 4 and 24 h after treatment.\nInhibition of specific signaling pathway To reveal the intracellular signaling pathways involved in the effects of CAP on apoptosis regulation, cells were pre-treated with different inhibitors MEK1/2 (U0126; 10 µM; Calbiochem, San Diego, CA, USA) or PI3K (LY294002; 50 µM; Sigma-Aldrich), respectively, 60 min prior to CAP exposure in an additional experimental set. Subsequently, gene regulation of CASP9 and CASP3 was analyzed by real-time PCR.\nTo reveal the intracellular signaling pathways involved in the effects of CAP on apoptosis regulation, cells were pre-treated with different inhibitors MEK1/2 (U0126; 10 µM; Calbiochem, San Diego, CA, USA) or PI3K (LY294002; 50 µM; Sigma-Aldrich), respectively, 60 min prior to CAP exposure in an additional experimental set. Subsequently, gene regulation of CASP9 and CASP3 was analyzed by real-time PCR.\nCaspase-3 assay Cells were cultured as previously described and treated with CAP for 30 and 60 s, respectively. Additionally, cells were treated with STS (Sigma-Aldrich; 10 nM) and after 60 min with CAP. Caspase-3 activity was quantified using the colorimetric kit Caspase-3 Assay Kit (Abcam) according to the manufacturer’s protocol at one day. A microplate spectrophotometer (BioTek Instruments) was used at 405 nm to measure the optical density.\nCells were cultured as previously described and treated with CAP for 30 and 60 s, respectively. Additionally, cells were treated with STS (Sigma-Aldrich; 10 nM) and after 60 min with CAP. Caspase-3 activity was quantified using the colorimetric kit Caspase-3 Assay Kit (Abcam) according to the manufacturer’s protocol at one day. A microplate spectrophotometer (BioTek Instruments) was used at 405 nm to measure the optical density.\nStatistical analysis All experiments were performed in triplicates and repeated at least twice by calculating mean values and standard errors of the mean. GraphPad Prism Software (GraphPad Software, San Diego, USA) was used for statistical analysis with Kruskal-Wallis, and Mann-Whitney U-tests with Bonferroni-Holm correction (p < 0.05).\nAll experiments were performed in triplicates and repeated at least twice by calculating mean values and standard errors of the mean. GraphPad Prism Software (GraphPad Software, San Diego, USA) was used for statistical analysis with Kruskal-Wallis, and Mann-Whitney U-tests with Bonferroni-Holm correction (p < 0.05).", "Human osteoblast-like cells (ATCC, CRL-1427™; Sigma-Aldrich, Taufkirchen, Germany) were cultured in Dulbecco’s modified essential medium (DMEM, Invitrogen, Germany) supplemented with 10 % fetal bovine serum (FBS, Invitrogen), 100 units penicillin, and 100 µg/mL streptomycin (Invitrogen) at 37°C in a humidified atmosphere of 5 % CO2 and 95 % humidity. For further studies, cells were seeded into 35 × 10 mm petri dishes and cultured to 70 % confluence. Cell culture medium was replaced every 2 days. For each experiment, FBS concentration was reduced to 1 % one day prior to the start of the experiment.", "CAP was generated by a dielectric barrier discharge (Plasma ONE MEDICAL, Plasma MEDICAL SYSTEMS® GmbH, Nievern, Germany). Pulsed direct current (35 V) is transformed to high voltage resulting in an electric field, which forms the plasma. The CAP can be used at five levels of intensity (20 %, 40 %, 60 %, 80 %, 100 %), modulating the high voltage (3–18 kV). Osteoblast-like cells were exposed to CAP for 60 s as previously described [17]. Optimal time, intensity and distance were selected after preliminary experiments. To analyze the CAP effects in an inflammatory or apoptotic environment in vitro, in a separate experimental set, cells were pre-treated prior to the CAP application either with human recombinant interleukin (IL)-1β (PromoKine, Heidelberg, Germany; 1 ng/ml) or with staurosporine (STS, Sigma-Aldrich; 10 nM) one h before CAP application.", "24 h after CAP application total RNA was extracted using an RNA extraction kit (Qiagen, Hilden, Germany). RNA (1 µg) was reverse transcribed into cDNA by use of iScript™ Select cDNA Synthesis Kit (Bio-Rad Laboratories, Munich, Germany) at 42°C for 90 min followed by 85°C for five min. One µl of cDNA was amplified as a template in a 25 µl reaction mixture containing 12.5 µl SsoAdvanced™ Universal SYBR® Green Supermix (Bio-Rad), 2.5 µl of specific commercially available primers (0.5 µM each; predesigned QuantiTect Primer Assay, Qiagen), and 9 µl deionized water. The mixture was at first heated at 95°C for 5 min, and then followed by 40 cycles with denaturation at 95°C for 10 s and combined annealing/extension at 60°C for 30 s. Expressions of p53, APAF-1, CASP9, CASP3, BAK1 and BCL2 mRNA were detected by real-time PCR using the iCycler iQ™5 detection system (Bio-Rad). Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as an endogenous control. The data were analyzed by the comparative threshold cycle method.", "Osteoblast-like cells were seeded on glass coverslips (Thermo Fisher Scientific Inc., Schwerte, Germany) and propagated until 70 % of confluence was achieved. Cells were treated with CAP as described above. After 15 min, 30 and 60 min cells were washed twice with 1x PBS (Invitrogen) and fixed with 4 % paraformaldehyde (Sigma-Aldrich) at pH 7.4 and room temperature for 10 min. After another washing step cells were permeabilized in 0.1 % Triton X-100 (Sigma-Aldrich) for 5 min. Next, the cells were washed again and blocked with 5 % BSA in PBS for 60 min to reduce the background staining. Afterwards, the cells were incubated with rabbit anti-p53 primary antibody (Abcam, Berlin, Germany; 1:200) at 4 °C overnight. Following another rinsing step, the cells were incubated with CY3-conjugated goat anti-rabbit IgG secondary antibody (Abcam; 1:1000) at room temperature for 45 min. Finally, location of p53 within the stained cells was analysed with the ZOE™ Fluorescent Cell Imager (Bio-Rad). The images were captured with an integrated digital 5MP CMOS camera.", "To study the regulatory effects of CAP on apoptotic activating factor in osteoblast-like cells, immunoblotting was performed. Cells were treated with CAP for 1 d. Whole protein lysate was prepared on ice by adding cell lysis buffer (Bio-Techne GmbH, Wiesbaden, Germany) containing freshly mixed protease inhibitor cocktail (Sigma-Aldrich) to the cells. Total protein concentration was quantified by using a BCA Protein Assay Reagent Kit (Pierce Biotechnology, Rockford, IL, USA) and a microplate spectrophotometer (PowerWave x, BioTek Instruments, Winooski, VT, USA) at 562 nm. 10 % SDS-PAGE gel was used to load an equal amount of proteins into each slot using an electrophoresis system (SE260 Mighty Small II Deluxe Mini Vertical Protein Electrophoresis Unit, Hoefer, Inc., Holliston, USA). After electrophoresis, the samples were transferred to nitrocellulose membranes (Bio-Rad Laboratories) using TE22 Mighty Small Transfer Tank (Hoefer, Inc.). Prior to primary antibody incubation, nonspecific background was blocked with 2.5 % BSA in 0.1 % TBS-T for one hour at room temperature. Subsequently, membranes were incubated with primary rabbit polyclonal anti-APAF-1 (ab2000, Abcam1:500) and anti-β-actin (ab227387, Abcam; 1:10,000) over-night at 4 °C. After several washing steps, membranes were incubated with goat anti-rabbit IgG (ab205718, Abcam; 1:10,000), an HRP-conjugated secondary antibody, for 45 min at room temperature. Detection of the immune-reactive bands was performed with the enhanced chemiluminescence (ECL) Substrate (Pierce). ImageJ software was used to quantify relative protein amounts and to normalize to β-actin levels.", "Osteoblast-like cells were seeded on glass coverslips as described above. As soon as the monolayer reached 70 % of confluence, medium was replaced by reduced serum-containing medium as described above and were treated with CAP. Morphological modification of CAP-treated cells was analyzed with a double Phalloidin and DAPI staining after 24 h. Fixed and permeabilized cell monolayers were incubated with fluorescent conjugates of Phalloidin (Sigma-Aldrich, 100 µM) for 60 min in order to label the actin filaments. Next, Phalloidin working solution was aspirated, and DAPI working solution (Sigma-Aldrich, 1 µg/ml) was added for 5 min to the cells to label DNA. Finally, after another rinsing, stained cells were visualized with the ZOE™ Fluorescent Cell Imager (Bio-Rad) as described above. Analysis of cell morphology was performed using ImageJ software by measuring cell area and aspect ratio (major axis/minor axis). For the measurements, 5 slides each were randomly selected.", "Cells were treated with Alexa Fluor® 488 annexin V/ propidium iodide (Vybrant® Apoptosis Assay Kit #2; Invitrogen) according to the manufacturer’s instructions 24 h after CAP application in order to determine the cytotoxicity of CAP by flow cytometric analysis with the Cytometer FC500 (Beckman coulter, Brea, CA, USA). STS (Sigma-Aldrich; 10 nM) treated cells served as positive control. Additionally, in a separate experimental set, controls and CAP-treated cells were also stained with the above kit components and subsequently the immunofluorescence was analyzed with the ZOE™ Fluorescent Cell Imager (Bio-Rad) at 1 h, 4 and 24 h after treatment.", "To reveal the intracellular signaling pathways involved in the effects of CAP on apoptosis regulation, cells were pre-treated with different inhibitors MEK1/2 (U0126; 10 µM; Calbiochem, San Diego, CA, USA) or PI3K (LY294002; 50 µM; Sigma-Aldrich), respectively, 60 min prior to CAP exposure in an additional experimental set. Subsequently, gene regulation of CASP9 and CASP3 was analyzed by real-time PCR.", "Cells were cultured as previously described and treated with CAP for 30 and 60 s, respectively. Additionally, cells were treated with STS (Sigma-Aldrich; 10 nM) and after 60 min with CAP. Caspase-3 activity was quantified using the colorimetric kit Caspase-3 Assay Kit (Abcam) according to the manufacturer’s protocol at one day. A microplate spectrophotometer (BioTek Instruments) was used at 405 nm to measure the optical density.", "All experiments were performed in triplicates and repeated at least twice by calculating mean values and standard errors of the mean. GraphPad Prism Software (GraphPad Software, San Diego, USA) was used for statistical analysis with Kruskal-Wallis, and Mann-Whitney U-tests with Bonferroni-Holm correction (p < 0.05).", "Effect of CAP on gene expression of markers of apoptosis Since CAP has been described to have a stimulating effect on multiple cells, we examined a possible anti-apoptotic effect of CAP on the gene regulation in osteoblast-like cells. Regulation of critical apoptotic molecules like APAF-1, CASP9 and CASP3, and cellular tumor antigen p53, was measured at the transcriptional level 1 d after CAP application. CAP treatment resulted in a significant time-dependent decrease of p53. The effect was 20 % for 30 s and 30 % for 60 s as compared to control at 1 d. Furthermore, CAP downregulated significantly APAF-1 by 18,4 % (30 s treatment) and by 62,6 % (60 s treatment) as compared to untreated cells at 1 d. Moreover, CAP resulted in a significant downregulation of CASP9 and CASP3 by 24 % and 31,8 %, respectively, after 60 s of treatment at 1 d. Similarly, for these genes, treatment for 30 s resulted in weaker downregulation of mRNA expression level compared to 60 s. In addition, we observed CAP effects on the proapoptotic marker BAK1, for which a downregulation of gene expression by 34,8 % was observed after 60 s of treatment. Interestingly, 60 s of CAP treatment led to an upregulation of BCL2, which plays an important role in antiapoptotic processes (Fig. 1a).\nmRNA-expression of apoptotic markers in human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d as compared to untreated cells (-). a mRNA-expression of p53, APAF-1, CASP9, CASP3, BAK1, and BCL2, (n = 9). b mRNA-expression of p53, APAF1, CASP9, and CASP3 in IL-1β preincubated human osteoblast-like cells, (n = 9). c mRNA-expression of p53, APAF1, CASP9, and CASP3 in STS preincubated human osteoblast-like cells, (n = 9). * statistical significance (p < 0.05)\nSince CAP has been described to have a stimulating effect on multiple cells, we examined a possible anti-apoptotic effect of CAP on the gene regulation in osteoblast-like cells. Regulation of critical apoptotic molecules like APAF-1, CASP9 and CASP3, and cellular tumor antigen p53, was measured at the transcriptional level 1 d after CAP application. CAP treatment resulted in a significant time-dependent decrease of p53. The effect was 20 % for 30 s and 30 % for 60 s as compared to control at 1 d. Furthermore, CAP downregulated significantly APAF-1 by 18,4 % (30 s treatment) and by 62,6 % (60 s treatment) as compared to untreated cells at 1 d. Moreover, CAP resulted in a significant downregulation of CASP9 and CASP3 by 24 % and 31,8 %, respectively, after 60 s of treatment at 1 d. Similarly, for these genes, treatment for 30 s resulted in weaker downregulation of mRNA expression level compared to 60 s. In addition, we observed CAP effects on the proapoptotic marker BAK1, for which a downregulation of gene expression by 34,8 % was observed after 60 s of treatment. Interestingly, 60 s of CAP treatment led to an upregulation of BCL2, which plays an important role in antiapoptotic processes (Fig. 1a).\nmRNA-expression of apoptotic markers in human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d as compared to untreated cells (-). a mRNA-expression of p53, APAF-1, CASP9, CASP3, BAK1, and BCL2, (n = 9). b mRNA-expression of p53, APAF1, CASP9, and CASP3 in IL-1β preincubated human osteoblast-like cells, (n = 9). c mRNA-expression of p53, APAF1, CASP9, and CASP3 in STS preincubated human osteoblast-like cells, (n = 9). * statistical significance (p < 0.05)\nEffect of CAP on the gene expression of apoptotic molecules under inflammatory and apoptotic conditions In order to study the effects of CAP on the gene expression on apoptotic markers in inflammation, IL-1β pre-incubated cells were treated with CAP. Our data showed, that CAP counteracted the IL-1β-induced overexpression of inflammation- and apoptosis-related genes. Under inflammatory condition, 60 s of CAP application led to a significant reduction of p53, CASP9, and CASP3 at one day. The downregulating effect was strongest for p53, which was 33 %. Another strong effect was shown for CASP3 mRNA expression: CAP treatment of IL-1β pre-incubated cells resulted in a downregulation by 21,8 %. (Fig. 1b).\nSimilar results were observed for STS preincubated cells. Especially in such an apoptotic environment, the significant anti-apoptotic effect of 60 s CAP treatment could be seen at the transcriptional level. The CAP induced down-regulation of p53 mRNA expression was 32,9 %. In addition, a downregulation of CASP9 and CASP3 mRNA by 30,2 % and 56,9 %, respectively, was observed after 60 s of CAP treatment at one day (Fig. 1c).\nIn order to study the effects of CAP on the gene expression on apoptotic markers in inflammation, IL-1β pre-incubated cells were treated with CAP. Our data showed, that CAP counteracted the IL-1β-induced overexpression of inflammation- and apoptosis-related genes. Under inflammatory condition, 60 s of CAP application led to a significant reduction of p53, CASP9, and CASP3 at one day. The downregulating effect was strongest for p53, which was 33 %. Another strong effect was shown for CASP3 mRNA expression: CAP treatment of IL-1β pre-incubated cells resulted in a downregulation by 21,8 %. (Fig. 1b).\nSimilar results were observed for STS preincubated cells. Especially in such an apoptotic environment, the significant anti-apoptotic effect of 60 s CAP treatment could be seen at the transcriptional level. The CAP induced down-regulation of p53 mRNA expression was 32,9 %. In addition, a downregulation of CASP9 and CASP3 mRNA by 30,2 % and 56,9 %, respectively, was observed after 60 s of CAP treatment at one day (Fig. 1c).\nEffect of CAP on p53 nuclear translocation and APAF-1 protein levels Additionally, a p53 nuclear translocation and accumulation was observed after CAP treatment of the cells, with the highest level at 30 min post treatment (Fig. 2a). Furthermore, p53 expression was shown by immunofluorescence at 1 d, visualizing a nearly reduced expression (Fig. 2b). By visualizing the total protein level of APAF-1 protein after CAP application, a slight increase with a peak after 30 min and a subsequent decrease could be observed (Fig. 2c).\n\nFig. 2Stimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control\n\nStimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control\nAdditionally, a p53 nuclear translocation and accumulation was observed after CAP treatment of the cells, with the highest level at 30 min post treatment (Fig. 2a). Furthermore, p53 expression was shown by immunofluorescence at 1 d, visualizing a nearly reduced expression (Fig. 2b). By visualizing the total protein level of APAF-1 protein after CAP application, a slight increase with a peak after 30 min and a subsequent decrease could be observed (Fig. 2c).\n\nFig. 2Stimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control\n\nStimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control\nInfluence of CAP on cell morphology As visualized by fluorescence microscopy, exposure of cells to CAP caused changes of the cytoskeleton at one day (Fig. 3a). The cells changed their morphology from spindle-shaped to polygonal and had more lamellipodia and filopodia. The area of the cells increased by 38 % on average, why the aspect ratio (major axis/minor axis) decreased by 32,2 %.\nEffects of CAP application on the morphology and apoptosis of cultured human osteoblast-like cells at 1 d. a Actin cytoskeleton of osteoblast-like cells, untreated (CAP -) and treated (CAP +) for 60 s. Cytoskeleton and nucleus are stained with FITC conjugated phalloidin (green) and DAPI (blue), respectively, (n = 3). b Apoptotic effects in human osteoblast-like cells after 60 s of CAP treatment displayed by a Vybrant apoptosis assay. Results of flow cytometry analysis of osteoblast-like cell apoptosis after 24 h of treatment with CAP (CAP +) as compared to untreated cells (CAP -). STS preincubated cells (STS +) served as positive control. Flow cytometry was performed after cells were stained with Annexin-FITC and propidium iodide using Vybrant Apoptosis assay kit, (n = 3). * statistical significance to positive control (p < 0.05)\nAs visualized by fluorescence microscopy, exposure of cells to CAP caused changes of the cytoskeleton at one day (Fig. 3a). The cells changed their morphology from spindle-shaped to polygonal and had more lamellipodia and filopodia. The area of the cells increased by 38 % on average, why the aspect ratio (major axis/minor axis) decreased by 32,2 %.\nEffects of CAP application on the morphology and apoptosis of cultured human osteoblast-like cells at 1 d. a Actin cytoskeleton of osteoblast-like cells, untreated (CAP -) and treated (CAP +) for 60 s. Cytoskeleton and nucleus are stained with FITC conjugated phalloidin (green) and DAPI (blue), respectively, (n = 3). b Apoptotic effects in human osteoblast-like cells after 60 s of CAP treatment displayed by a Vybrant apoptosis assay. Results of flow cytometry analysis of osteoblast-like cell apoptosis after 24 h of treatment with CAP (CAP +) as compared to untreated cells (CAP -). STS preincubated cells (STS +) served as positive control. Flow cytometry was performed after cells were stained with Annexin-FITC and propidium iodide using Vybrant Apoptosis assay kit, (n = 3). * statistical significance to positive control (p < 0.05)\nActions of CAP on apoptosis Furthermore, anti-apoptotic CAP influence was displayed by flow cytometry: approximately 93.5 % of cells were viable, which was similar to untreated cells (93.1 %; Fig. 3b). These results were also confirmed by immunofluorescence, demonstrating, that CAP had no regulatory effect on the numbers of apoptotic or dead cells at 1 h, 4 and 24 h after treatment (data not shown).\nFurthermore, anti-apoptotic CAP influence was displayed by flow cytometry: approximately 93.5 % of cells were viable, which was similar to untreated cells (93.1 %; Fig. 3b). These results were also confirmed by immunofluorescence, demonstrating, that CAP had no regulatory effect on the numbers of apoptotic or dead cells at 1 h, 4 and 24 h after treatment (data not shown).\nInfluence of CAP on specific signaling pathways To better understand the intracellular mechanisms of CAP-dependent down-regulation of CASP9 and CASP3 gene expression, we incubated the cells with a MEK 1/2 and a PI3K inhibitor, both regulating anti-apoptotic processes. Blocking the MEK 1/2 pathway counteracted CAP-induced downregulation of CASP9 (Fig. 4a). Furthermore, the anti-apoptotic effect of CAP on CASP9 was also blocked after application of a PI3K inhibitor (Fig. 4b). Similar effects were observed for the gene expression of CASP3, but to a lower extent (data not shown).\n\nFig. 4Analysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05)\n\nAnalysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05)\nTo better understand the intracellular mechanisms of CAP-dependent down-regulation of CASP9 and CASP3 gene expression, we incubated the cells with a MEK 1/2 and a PI3K inhibitor, both regulating anti-apoptotic processes. Blocking the MEK 1/2 pathway counteracted CAP-induced downregulation of CASP9 (Fig. 4a). Furthermore, the anti-apoptotic effect of CAP on CASP9 was also blocked after application of a PI3K inhibitor (Fig. 4b). Similar effects were observed for the gene expression of CASP3, but to a lower extent (data not shown).\n\nFig. 4Analysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05)\n\nAnalysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05)\nRegulation of caspase-3 activity by CAP To confirm the above gene expression results, caspase-3 activity of CAP-treated and non-CAP-treated cells was determined. Compared to untreated cells, there was a slight time-dependent decrease in Caspase 3 activity at 1 d, which was approximately 30 % lower after 60 s of treatment (Fig. 4c). An even more significant downregulation of caspase-3 activity could be achieved by pre-incubating the cells with STS. In this apoptotic environment, caspase-3 activity was downregulated by 20 % after 30 s of CAP treatment and by 36 % after 60 s of CAP treatment at one day (Fig. 4d).\nTo confirm the above gene expression results, caspase-3 activity of CAP-treated and non-CAP-treated cells was determined. Compared to untreated cells, there was a slight time-dependent decrease in Caspase 3 activity at 1 d, which was approximately 30 % lower after 60 s of treatment (Fig. 4c). An even more significant downregulation of caspase-3 activity could be achieved by pre-incubating the cells with STS. In this apoptotic environment, caspase-3 activity was downregulated by 20 % after 30 s of CAP treatment and by 36 % after 60 s of CAP treatment at one day (Fig. 4d).", "Since CAP has been described to have a stimulating effect on multiple cells, we examined a possible anti-apoptotic effect of CAP on the gene regulation in osteoblast-like cells. Regulation of critical apoptotic molecules like APAF-1, CASP9 and CASP3, and cellular tumor antigen p53, was measured at the transcriptional level 1 d after CAP application. CAP treatment resulted in a significant time-dependent decrease of p53. The effect was 20 % for 30 s and 30 % for 60 s as compared to control at 1 d. Furthermore, CAP downregulated significantly APAF-1 by 18,4 % (30 s treatment) and by 62,6 % (60 s treatment) as compared to untreated cells at 1 d. Moreover, CAP resulted in a significant downregulation of CASP9 and CASP3 by 24 % and 31,8 %, respectively, after 60 s of treatment at 1 d. Similarly, for these genes, treatment for 30 s resulted in weaker downregulation of mRNA expression level compared to 60 s. In addition, we observed CAP effects on the proapoptotic marker BAK1, for which a downregulation of gene expression by 34,8 % was observed after 60 s of treatment. Interestingly, 60 s of CAP treatment led to an upregulation of BCL2, which plays an important role in antiapoptotic processes (Fig. 1a).\nmRNA-expression of apoptotic markers in human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d as compared to untreated cells (-). a mRNA-expression of p53, APAF-1, CASP9, CASP3, BAK1, and BCL2, (n = 9). b mRNA-expression of p53, APAF1, CASP9, and CASP3 in IL-1β preincubated human osteoblast-like cells, (n = 9). c mRNA-expression of p53, APAF1, CASP9, and CASP3 in STS preincubated human osteoblast-like cells, (n = 9). * statistical significance (p < 0.05)", "In order to study the effects of CAP on the gene expression on apoptotic markers in inflammation, IL-1β pre-incubated cells were treated with CAP. Our data showed, that CAP counteracted the IL-1β-induced overexpression of inflammation- and apoptosis-related genes. Under inflammatory condition, 60 s of CAP application led to a significant reduction of p53, CASP9, and CASP3 at one day. The downregulating effect was strongest for p53, which was 33 %. Another strong effect was shown for CASP3 mRNA expression: CAP treatment of IL-1β pre-incubated cells resulted in a downregulation by 21,8 %. (Fig. 1b).\nSimilar results were observed for STS preincubated cells. Especially in such an apoptotic environment, the significant anti-apoptotic effect of 60 s CAP treatment could be seen at the transcriptional level. The CAP induced down-regulation of p53 mRNA expression was 32,9 %. In addition, a downregulation of CASP9 and CASP3 mRNA by 30,2 % and 56,9 %, respectively, was observed after 60 s of CAP treatment at one day (Fig. 1c).", "Additionally, a p53 nuclear translocation and accumulation was observed after CAP treatment of the cells, with the highest level at 30 min post treatment (Fig. 2a). Furthermore, p53 expression was shown by immunofluorescence at 1 d, visualizing a nearly reduced expression (Fig. 2b). By visualizing the total protein level of APAF-1 protein after CAP application, a slight increase with a peak after 30 min and a subsequent decrease could be observed (Fig. 2c).\n\nFig. 2Stimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control\n\nStimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control", "As visualized by fluorescence microscopy, exposure of cells to CAP caused changes of the cytoskeleton at one day (Fig. 3a). The cells changed their morphology from spindle-shaped to polygonal and had more lamellipodia and filopodia. The area of the cells increased by 38 % on average, why the aspect ratio (major axis/minor axis) decreased by 32,2 %.\nEffects of CAP application on the morphology and apoptosis of cultured human osteoblast-like cells at 1 d. a Actin cytoskeleton of osteoblast-like cells, untreated (CAP -) and treated (CAP +) for 60 s. Cytoskeleton and nucleus are stained with FITC conjugated phalloidin (green) and DAPI (blue), respectively, (n = 3). b Apoptotic effects in human osteoblast-like cells after 60 s of CAP treatment displayed by a Vybrant apoptosis assay. Results of flow cytometry analysis of osteoblast-like cell apoptosis after 24 h of treatment with CAP (CAP +) as compared to untreated cells (CAP -). STS preincubated cells (STS +) served as positive control. Flow cytometry was performed after cells were stained with Annexin-FITC and propidium iodide using Vybrant Apoptosis assay kit, (n = 3). * statistical significance to positive control (p < 0.05)", "Furthermore, anti-apoptotic CAP influence was displayed by flow cytometry: approximately 93.5 % of cells were viable, which was similar to untreated cells (93.1 %; Fig. 3b). These results were also confirmed by immunofluorescence, demonstrating, that CAP had no regulatory effect on the numbers of apoptotic or dead cells at 1 h, 4 and 24 h after treatment (data not shown).", "To better understand the intracellular mechanisms of CAP-dependent down-regulation of CASP9 and CASP3 gene expression, we incubated the cells with a MEK 1/2 and a PI3K inhibitor, both regulating anti-apoptotic processes. Blocking the MEK 1/2 pathway counteracted CAP-induced downregulation of CASP9 (Fig. 4a). Furthermore, the anti-apoptotic effect of CAP on CASP9 was also blocked after application of a PI3K inhibitor (Fig. 4b). Similar effects were observed for the gene expression of CASP3, but to a lower extent (data not shown).\n\nFig. 4Analysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05)\n\nAnalysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05)", "To confirm the above gene expression results, caspase-3 activity of CAP-treated and non-CAP-treated cells was determined. Compared to untreated cells, there was a slight time-dependent decrease in Caspase 3 activity at 1 d, which was approximately 30 % lower after 60 s of treatment (Fig. 4c). An even more significant downregulation of caspase-3 activity could be achieved by pre-incubating the cells with STS. In this apoptotic environment, caspase-3 activity was downregulated by 20 % after 30 s of CAP treatment and by 36 % after 60 s of CAP treatment at one day (Fig. 4d).", "In the present study, CAP had been shown to down-regulate key apoptosis-related markers in osteoblast-like cells, suggesting a positive effect of CAP on hard tissue healing. Additionally, an anti-apoptotic effect of CAP in an inflammatory and apoptotic environment was shown in vitro. Furthermore, it has been demonstrated by DAPI/ Phalloidin staining, that CAP exposition promotes a change in cell morphology. These results imply that CAP might be a promising treatment to help to enhance wound healing of chronical hard tissue wounds.\nFirst, we aimed to analyse the effects of CAP on gene expression of apoptotic markers in osteoblast-like cells. Therefore, we studied the expressions of the key apoptotic markers p53, APAF-1, CASP9, and CASP3 that were downregulated in CAP treated cells as compared to untreated cells. The tumour suppressor p53 is a main regulator of apoptosis induction in damaged and senescent cells and plays an important role in cellular stress responses [28]. Interestingly, the nuclear translocation of p53 was increased at 30 min after CAP application as an early cellular response to the CAP treatment. p53 activation in osteoblast-like cells seems to be enhanced as an early response after CAP treatment. However, after 24 h p53 gene expression was significantly reduced. Similar effects of CAP were observed in HaCaT keratinocytes: 15 min after stimulation with argon generated CAP for 180 s a maximum increase of p53 phosphorylation has been seen, returning to a baseline level within 24 h [29]. There seem to be differences in the regulation of keratinocytes and osteoblast-like cells, different application times or the CAP device used. Further experiments are necessary to investigate how plasma affects activation of transcription factors. A main effector of p53 is APAF-1 [30]. The downregulation of this apoptotic marker in osteoblast-like cells after CAP treatment underlines the protective effect of CAP. Similar CAP effects have also been described in PDL cells [17]. In contrast, the CAP treatment of dysplastic cells like leukaemia or melanoma led to an upregulation of p53 [23, 31]. The cellular response of the osteoblast-like cells we used in our study declare, that there seem to be different responses in different cells – maybe depending on intensity and duration of CAP application. In the studies mentioned above, the cells were treated for different periods: Arndt et al. has exposed cells to CAP for 120 s, Turrini et al. for 10 s, and Gümbel et al. for 60 and 120 s. All the authors used different CAP devices. Different cell types or different CAP devices might possibly induce different cellular responses regarding CAP treatment. Cold plasma could therefore be useful for various, even opposing medical purposes, such as wound healing on the one hand and tumour therapy strategies on the other. Further research is needed to establish an optimal therapeutic approach.\nAdditionally, we focused on the CAP-induced downregulation of CASP9 and CASP3. CASP3 plays an important role during the initiation of apoptosis [32]. The protein itself is processed and activated by CASP9, which is crucial for the apoptotic protease cascade [33]. Apoptosis is regulated by various signaling pathways. The MEK/ERK signaling pathway regulates the activation of apoptosis under circumstances of e.g. DNA damage [34]. A significant involvement of the MAP kinase signaling pathway in the effects of an indirect CAP treatment with argon generated plasma has already been shown by other authors: Schmidt et al. observed a CAP-dependent activation of MAP kinase signaling effectors, such as anti-apoptotic Hsp27, growth factors and cytokines [29]. Inhibition of the MAP kinase pathway by the U0126 inhibitor led to a reduction of the anti-apoptotic CAP effect. Additionally, we investigated the PI3 kinase signaling pathway. Other authors have described, that CAP effects were mediated by the PI3 kinase pathway as well [35, 36]: As described by Adhikari et al., CAP mediates PI3 kinase-mediated reduction of the mTOR gene, leading to a reduction in apoptosis inhibition in human melanoma cells [36]. Blocking PI3 kinase caused an inhibition of the CAP effect. As mentioned above, CAP appears to have different effects in different cells, possibly depending on the device, the used gas or a different application time. The fact that the CAP-induced downregulation of CASP9 can be counteracted by both inhibitors confirms the hypothesis that multiple pathways are responsible for the CAP effects. Further studies, possibly by blocking the corresponding signaling pathways simultaneously, are necessary to better understand the effects of CAP. With regard to the study of Schmidt et al., the differences in the significance of the signaling pathway could be due to the different cells and the different way of CAP generation [29]. Further studies are necessary to point this out. Our results concerning downregulation of CASP3 indicate positive effects of CAP treatment for osteoblast-like cells. Schmidt et al. observed similar results in keratinocytes after 20 s of CAP treatment. However, for longer treatments up to 180 s an induction of CASP3 was observed [29]. In contrast, an upregulation of CASP3 in LNCaP cells after 10 s of argon CAP application was observed by Weiss et al. [37, 38]. Nevertheless, the difference in CASP3 regulation after CAP treatment could be associated due to differences in cell types and different application times. Due to the fact that we have observed differences in the regulation of apoptotic genes in osteoblast-like cells compared to the cells described in the literature, a comprehensive study of anti-apoptotic genes in malignant cells would be interesting. Further studies have to clarify the parameters of CAP treatment and its effect on different cells.\nIt has also been considered that both inhibiting and stimulating signals contribute to the apoptotic cascade in a biologically balanced manner. Antiapoptotic genes, such as BCL2, Hsp72 or Hsp90 have been described to be upregulated in cells resistant to apoptosis [39]. For this reason, we focused on the anti-apoptotic gene BCL2 and one of its antagonists BAK1. We observed an upregulation of BCL2 gene expression, which was time-dependent after 30 resp. 60 s of CAP treatment at one day. Similar results were observed in leukaemia cells, with a further increase in BCL2 expression after 120 s of CAP exposure compared to 60 s [23]. Interestingly, Turrini et al. also show an increase in apoptotic cells by CAP using flow cytometry analysis and an increase in pro-apoptotic markers that was not detectable in our study. Once again, there is evidence that different cells can react differently to CAP. Further studies could help to illustrate the CAP mediated regulation of anti-apoptotic genes.\nThe effect of CAP on bacteria is well known, being both effective to reduce bacterial load on surfaces and tissues. [40, 41]. Clinical studies have shown a significant reduction of microbes in wounds and also a reduction in the time required for wound closure by argon CAP [42, 43]. Another aspect of chronic wounds is the persistence of inflammation and apoptotic processes. For single simulation of CAP effects on cells and tissues in an inflamed environment, representing chronic wounds, we studied the expression of IL-1β pre-treated osteoblast-like cells after CAP treatment. IL-1β has been shown to be increased in inflamed gingival tissues [44, 45]. In previously published studied the preincubation of IL-1β resulted in an upregulation of different markers, such as COX2, CCL2, IL6, IL8 or MMP1 [46–48]. Our study provides evidence that IL-1β-induced upregulation of apoptosis markers can be significantly attenuated by CAP application. This could indicate that the reduction of apoptotic activity of cells in chronic wounds could also be a reason for the surface reduction of chronic wounds after CAP treatment. Further clinical studies are necessary to clarify its effect on infected wounds. In addition, it must be taken into account that we only used GAPDH as a reference gene, which remained constant in our experiments and has also been described by other authors for the study of mRNA expression after CAP application [17, 27, 29, 49, 50]. Finally, it should also be kept in mind that we only analysed mRNA expression after 24 h. Additional investigations on longer time points should be the subject of further studies.\nFor evaluation of morphologic changes and viability of cells, phalloidin and DAPI staining were used. CAP-stimulated cells did not show apoptotic signs after 24 h as compared to the control, but had higher number of lamellipodia and filopodia. The cytoskeletal change of more filopodia and lamellipodia is characteristic of increased migration [51, 52]. Cell migration as a fundamental mechanism involved in wound repair requires higher cell deformation [53]. In a previous study we observed the effect of CAP on cell migration of osteoblast-like cells in vitro, shown by an XTT assay and a higher wound-fill-rate - therefore our results confirm previous findings [27]. Other cell types like fibroblasts, epithelial cells and keratinocytes have also been described to show higher levels of cell migration after CAP exposure [14, 15, 54]. A higher cell migration is required for wound healing processes, which has been shown to be accelerated by CAP [55]. Different morphologic effects of CAP regarding application times and intensity parameters have been described in the literature. In a study of Eisenhauer and coworkers a high intensity CAP treatment caused a decreased protein expression and less lamellipodia as compared to lower intensity [56]. Future studies are necessary to understand its regulatory effect on cell morphology of different cell types and the involved molecular mechanisms.\nFor a quantification of apoptotic cells flow cytometry analysis was performed. Annexin V is used to stain cells that expose phosphatidylserine at the exterior of the cell membrane at the time of early apoptosis [57, 58]. Propidium iodide binds to DNA after disruption of the cell membrane and therefore functions as a marker for dead cells [59]. The combination of these dyes allows us to distinguish early apoptotic cells from necrotic cells. We even investigated that proliferation, migration and viability were promoted by CAP, as previously published results have shown [27]. Regarding our results mentioned above, CAP appears to have a positive influence on individual apoptotic genes and proteins, displaying that CAP is not only non-apoptotic but has an apoptosis-inhibiting effect. The differences in apoptosis between the gene analyses and the FACS analysis could be due to the different sensitivity of the assays. It is possible that the results of gene expression would also be detectable at the FACS level after a certain time.\nAltogether, CAP can be derived from different gases. In our experiments we used a plasma device which operates with ambient air. CAP can also be generated using inert gases like argon or helium [60–62]. The management of ambient air devices facilitates for clinical application, because it does not require any additional gas supply. However, the composition of ambient air-generated CAP is more dependent from external factors like pressure and temperature instead of a consistent inert gas. Further studies should clarify which gas would be beneficial for clinical application.", "Short CAP application on osteoblast-like cells resulted in a reduced apoptosis and downregulated expression of apoptotic markers in an inflammatory and apoptotic environment. Additionally, CAP treatment led to changes in cell morphology. Therefore, our data suggest that CAP may serve patients with chronic hard-tissue wounds." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, "results", null, null, null, null, null, null, null, "discussion", "conclusion" ]
[ "Cold atmospheric plasma", "Apoptosis", "Inflammation", "Bone remodelling", "Osteoblast like cells" ]
Background: The healing of hard and soft tissue areas is a complex interplay between many upregulated factors in order to regenerate the former anatomic structure. Especially, the healing of bone is a complicated and long-term process, involving many different mechanisms like the growth of new blood vessels, the aggregation of mesenchymal stem cells, the differentiation of osteoblasts and the formation of the extracellular matrix [1, 2]. Whenever the wound healing does not take place in a normal way, which can occur at multiple steps along the cascade, a chronic wound may result. Apart from the fact of being an enormous psychological burden for the patient, the continuous treatment is also expensive for the healthcare system [3]. Chronic wounds have a high proportion of inflammatory, damaged or dead cells, which are usually cleared by macrophages [4]. Another important process involved in damaged cells removal is apoptosis also known as programmed cell death. Apoptosis can be induced by an extrinsic and intrinsic pathway [5, 6]. The extrinsic pathway can be initiated by molecules such as Tumor Necrosis Factor (TNF)α, which modulate an apoptotic cascade, which finally leads to the activation of CASP3. The intrinsic pathway can be triggered by cell stress, which leads to the activation of reactive oxygen species (ROS) or the release of p53 caused by DNA damage. The process results in the release of apoptogenic factors, such as cytochrome c, and apoptotic protease activating factor (APAF)-1, and an activation of caspase (CASP)9 and CASP3. CASP3 activation causes instability of cell membranes and fragmentation of DNA [7–9]. The apoptotic cascade is further modulated by anti-apoptotic genes, such as BCL2 Antagonist/Killer (BAK)1, or anti-apoptotic genes, such as B-Cell Lymphoma (BCL)2 [10]. Currently, CAP, being generated by inert gas or the ambient air as the fourth state of matter, has been shown to improve wound tissue healing - it seems to be a promising therapeutic approach for non-healing inflammatory wounds [11–13]. Though the specific effects of CAP need to be unrevealed, the CAP treatment of tissues seems to trigger a number of cellular mechanisms: in vitro-studies show a stimulating effect of CAP on human periodontal cells, keratinocytes and fibroblasts by upregulating certain genes and increasing cell migration and viability [14–17]. Additionally, CAP has been shown to enhance cell adhesion onto pre-treated surfaces [18–21]. However, apoptotic effects of CAP have also been described in the literature, which might represent promising approaches in cancer-therapy [22, 23]. CAP promotes the development of ROS and reactive nitrogen species which can induce apoptosis in some types of malignant cells via the intrinsic pathway as described above [24, 25]. Interestingly, CAP does not seem to affect healthy cells [26]. In our recent study we demonstrated, that CAP positively influences the wound healing in human osteoblast-like cells by stimulating proliferation and by increasing cell migration and viability [27]. However, the underlying molecular mechanisms of CAP on cell death in healthy cells are still unknown. Therefore, the aim of the present study was to analyze the effect of CAP on cell viability and death in this primary human osteoblast cell line, in order to study the effects of CAP-treatment on hard tissue. Methods: Cell culture and treatment Human osteoblast-like cells (ATCC, CRL-1427™; Sigma-Aldrich, Taufkirchen, Germany) were cultured in Dulbecco’s modified essential medium (DMEM, Invitrogen, Germany) supplemented with 10 % fetal bovine serum (FBS, Invitrogen), 100 units penicillin, and 100 µg/mL streptomycin (Invitrogen) at 37°C in a humidified atmosphere of 5 % CO2 and 95 % humidity. For further studies, cells were seeded into 35 × 10 mm petri dishes and cultured to 70 % confluence. Cell culture medium was replaced every 2 days. For each experiment, FBS concentration was reduced to 1 % one day prior to the start of the experiment. Human osteoblast-like cells (ATCC, CRL-1427™; Sigma-Aldrich, Taufkirchen, Germany) were cultured in Dulbecco’s modified essential medium (DMEM, Invitrogen, Germany) supplemented with 10 % fetal bovine serum (FBS, Invitrogen), 100 units penicillin, and 100 µg/mL streptomycin (Invitrogen) at 37°C in a humidified atmosphere of 5 % CO2 and 95 % humidity. For further studies, cells were seeded into 35 × 10 mm petri dishes and cultured to 70 % confluence. Cell culture medium was replaced every 2 days. For each experiment, FBS concentration was reduced to 1 % one day prior to the start of the experiment. CAP application CAP was generated by a dielectric barrier discharge (Plasma ONE MEDICAL, Plasma MEDICAL SYSTEMS® GmbH, Nievern, Germany). Pulsed direct current (35 V) is transformed to high voltage resulting in an electric field, which forms the plasma. The CAP can be used at five levels of intensity (20 %, 40 %, 60 %, 80 %, 100 %), modulating the high voltage (3–18 kV). Osteoblast-like cells were exposed to CAP for 60 s as previously described [17]. Optimal time, intensity and distance were selected after preliminary experiments. To analyze the CAP effects in an inflammatory or apoptotic environment in vitro, in a separate experimental set, cells were pre-treated prior to the CAP application either with human recombinant interleukin (IL)-1β (PromoKine, Heidelberg, Germany; 1 ng/ml) or with staurosporine (STS, Sigma-Aldrich; 10 nM) one h before CAP application. CAP was generated by a dielectric barrier discharge (Plasma ONE MEDICAL, Plasma MEDICAL SYSTEMS® GmbH, Nievern, Germany). Pulsed direct current (35 V) is transformed to high voltage resulting in an electric field, which forms the plasma. The CAP can be used at five levels of intensity (20 %, 40 %, 60 %, 80 %, 100 %), modulating the high voltage (3–18 kV). Osteoblast-like cells were exposed to CAP for 60 s as previously described [17]. Optimal time, intensity and distance were selected after preliminary experiments. To analyze the CAP effects in an inflammatory or apoptotic environment in vitro, in a separate experimental set, cells were pre-treated prior to the CAP application either with human recombinant interleukin (IL)-1β (PromoKine, Heidelberg, Germany; 1 ng/ml) or with staurosporine (STS, Sigma-Aldrich; 10 nM) one h before CAP application. Analysis of gene expression 24 h after CAP application total RNA was extracted using an RNA extraction kit (Qiagen, Hilden, Germany). RNA (1 µg) was reverse transcribed into cDNA by use of iScript™ Select cDNA Synthesis Kit (Bio-Rad Laboratories, Munich, Germany) at 42°C for 90 min followed by 85°C for five min. One µl of cDNA was amplified as a template in a 25 µl reaction mixture containing 12.5 µl SsoAdvanced™ Universal SYBR® Green Supermix (Bio-Rad), 2.5 µl of specific commercially available primers (0.5 µM each; predesigned QuantiTect Primer Assay, Qiagen), and 9 µl deionized water. The mixture was at first heated at 95°C for 5 min, and then followed by 40 cycles with denaturation at 95°C for 10 s and combined annealing/extension at 60°C for 30 s. Expressions of p53, APAF-1, CASP9, CASP3, BAK1 and BCL2 mRNA were detected by real-time PCR using the iCycler iQ™5 detection system (Bio-Rad). Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as an endogenous control. The data were analyzed by the comparative threshold cycle method. 24 h after CAP application total RNA was extracted using an RNA extraction kit (Qiagen, Hilden, Germany). RNA (1 µg) was reverse transcribed into cDNA by use of iScript™ Select cDNA Synthesis Kit (Bio-Rad Laboratories, Munich, Germany) at 42°C for 90 min followed by 85°C for five min. One µl of cDNA was amplified as a template in a 25 µl reaction mixture containing 12.5 µl SsoAdvanced™ Universal SYBR® Green Supermix (Bio-Rad), 2.5 µl of specific commercially available primers (0.5 µM each; predesigned QuantiTect Primer Assay, Qiagen), and 9 µl deionized water. The mixture was at first heated at 95°C for 5 min, and then followed by 40 cycles with denaturation at 95°C for 10 s and combined annealing/extension at 60°C for 30 s. Expressions of p53, APAF-1, CASP9, CASP3, BAK1 and BCL2 mRNA were detected by real-time PCR using the iCycler iQ™5 detection system (Bio-Rad). Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as an endogenous control. The data were analyzed by the comparative threshold cycle method. Analysis of p53 nuclear translocation Osteoblast-like cells were seeded on glass coverslips (Thermo Fisher Scientific Inc., Schwerte, Germany) and propagated until 70 % of confluence was achieved. Cells were treated with CAP as described above. After 15 min, 30 and 60 min cells were washed twice with 1x PBS (Invitrogen) and fixed with 4 % paraformaldehyde (Sigma-Aldrich) at pH 7.4 and room temperature for 10 min. After another washing step cells were permeabilized in 0.1 % Triton X-100 (Sigma-Aldrich) for 5 min. Next, the cells were washed again and blocked with 5 % BSA in PBS for 60 min to reduce the background staining. Afterwards, the cells were incubated with rabbit anti-p53 primary antibody (Abcam, Berlin, Germany; 1:200) at 4 °C overnight. Following another rinsing step, the cells were incubated with CY3-conjugated goat anti-rabbit IgG secondary antibody (Abcam; 1:1000) at room temperature for 45 min. Finally, location of p53 within the stained cells was analysed with the ZOE™ Fluorescent Cell Imager (Bio-Rad). The images were captured with an integrated digital 5MP CMOS camera. Osteoblast-like cells were seeded on glass coverslips (Thermo Fisher Scientific Inc., Schwerte, Germany) and propagated until 70 % of confluence was achieved. Cells were treated with CAP as described above. After 15 min, 30 and 60 min cells were washed twice with 1x PBS (Invitrogen) and fixed with 4 % paraformaldehyde (Sigma-Aldrich) at pH 7.4 and room temperature for 10 min. After another washing step cells were permeabilized in 0.1 % Triton X-100 (Sigma-Aldrich) for 5 min. Next, the cells were washed again and blocked with 5 % BSA in PBS for 60 min to reduce the background staining. Afterwards, the cells were incubated with rabbit anti-p53 primary antibody (Abcam, Berlin, Germany; 1:200) at 4 °C overnight. Following another rinsing step, the cells were incubated with CY3-conjugated goat anti-rabbit IgG secondary antibody (Abcam; 1:1000) at room temperature for 45 min. Finally, location of p53 within the stained cells was analysed with the ZOE™ Fluorescent Cell Imager (Bio-Rad). The images were captured with an integrated digital 5MP CMOS camera. Immunoblotting assay To study the regulatory effects of CAP on apoptotic activating factor in osteoblast-like cells, immunoblotting was performed. Cells were treated with CAP for 1 d. Whole protein lysate was prepared on ice by adding cell lysis buffer (Bio-Techne GmbH, Wiesbaden, Germany) containing freshly mixed protease inhibitor cocktail (Sigma-Aldrich) to the cells. Total protein concentration was quantified by using a BCA Protein Assay Reagent Kit (Pierce Biotechnology, Rockford, IL, USA) and a microplate spectrophotometer (PowerWave x, BioTek Instruments, Winooski, VT, USA) at 562 nm. 10 % SDS-PAGE gel was used to load an equal amount of proteins into each slot using an electrophoresis system (SE260 Mighty Small II Deluxe Mini Vertical Protein Electrophoresis Unit, Hoefer, Inc., Holliston, USA). After electrophoresis, the samples were transferred to nitrocellulose membranes (Bio-Rad Laboratories) using TE22 Mighty Small Transfer Tank (Hoefer, Inc.). Prior to primary antibody incubation, nonspecific background was blocked with 2.5 % BSA in 0.1 % TBS-T for one hour at room temperature. Subsequently, membranes were incubated with primary rabbit polyclonal anti-APAF-1 (ab2000, Abcam1:500) and anti-β-actin (ab227387, Abcam; 1:10,000) over-night at 4 °C. After several washing steps, membranes were incubated with goat anti-rabbit IgG (ab205718, Abcam; 1:10,000), an HRP-conjugated secondary antibody, for 45 min at room temperature. Detection of the immune-reactive bands was performed with the enhanced chemiluminescence (ECL) Substrate (Pierce). ImageJ software was used to quantify relative protein amounts and to normalize to β-actin levels. To study the regulatory effects of CAP on apoptotic activating factor in osteoblast-like cells, immunoblotting was performed. Cells were treated with CAP for 1 d. Whole protein lysate was prepared on ice by adding cell lysis buffer (Bio-Techne GmbH, Wiesbaden, Germany) containing freshly mixed protease inhibitor cocktail (Sigma-Aldrich) to the cells. Total protein concentration was quantified by using a BCA Protein Assay Reagent Kit (Pierce Biotechnology, Rockford, IL, USA) and a microplate spectrophotometer (PowerWave x, BioTek Instruments, Winooski, VT, USA) at 562 nm. 10 % SDS-PAGE gel was used to load an equal amount of proteins into each slot using an electrophoresis system (SE260 Mighty Small II Deluxe Mini Vertical Protein Electrophoresis Unit, Hoefer, Inc., Holliston, USA). After electrophoresis, the samples were transferred to nitrocellulose membranes (Bio-Rad Laboratories) using TE22 Mighty Small Transfer Tank (Hoefer, Inc.). Prior to primary antibody incubation, nonspecific background was blocked with 2.5 % BSA in 0.1 % TBS-T for one hour at room temperature. Subsequently, membranes were incubated with primary rabbit polyclonal anti-APAF-1 (ab2000, Abcam1:500) and anti-β-actin (ab227387, Abcam; 1:10,000) over-night at 4 °C. After several washing steps, membranes were incubated with goat anti-rabbit IgG (ab205718, Abcam; 1:10,000), an HRP-conjugated secondary antibody, for 45 min at room temperature. Detection of the immune-reactive bands was performed with the enhanced chemiluminescence (ECL) Substrate (Pierce). ImageJ software was used to quantify relative protein amounts and to normalize to β-actin levels. Analysis of cell morphology Osteoblast-like cells were seeded on glass coverslips as described above. As soon as the monolayer reached 70 % of confluence, medium was replaced by reduced serum-containing medium as described above and were treated with CAP. Morphological modification of CAP-treated cells was analyzed with a double Phalloidin and DAPI staining after 24 h. Fixed and permeabilized cell monolayers were incubated with fluorescent conjugates of Phalloidin (Sigma-Aldrich, 100 µM) for 60 min in order to label the actin filaments. Next, Phalloidin working solution was aspirated, and DAPI working solution (Sigma-Aldrich, 1 µg/ml) was added for 5 min to the cells to label DNA. Finally, after another rinsing, stained cells were visualized with the ZOE™ Fluorescent Cell Imager (Bio-Rad) as described above. Analysis of cell morphology was performed using ImageJ software by measuring cell area and aspect ratio (major axis/minor axis). For the measurements, 5 slides each were randomly selected. Osteoblast-like cells were seeded on glass coverslips as described above. As soon as the monolayer reached 70 % of confluence, medium was replaced by reduced serum-containing medium as described above and were treated with CAP. Morphological modification of CAP-treated cells was analyzed with a double Phalloidin and DAPI staining after 24 h. Fixed and permeabilized cell monolayers were incubated with fluorescent conjugates of Phalloidin (Sigma-Aldrich, 100 µM) for 60 min in order to label the actin filaments. Next, Phalloidin working solution was aspirated, and DAPI working solution (Sigma-Aldrich, 1 µg/ml) was added for 5 min to the cells to label DNA. Finally, after another rinsing, stained cells were visualized with the ZOE™ Fluorescent Cell Imager (Bio-Rad) as described above. Analysis of cell morphology was performed using ImageJ software by measuring cell area and aspect ratio (major axis/minor axis). For the measurements, 5 slides each were randomly selected. Vybrant apoptosis assay Cells were treated with Alexa Fluor® 488 annexin V/ propidium iodide (Vybrant® Apoptosis Assay Kit #2; Invitrogen) according to the manufacturer’s instructions 24 h after CAP application in order to determine the cytotoxicity of CAP by flow cytometric analysis with the Cytometer FC500 (Beckman coulter, Brea, CA, USA). STS (Sigma-Aldrich; 10 nM) treated cells served as positive control. Additionally, in a separate experimental set, controls and CAP-treated cells were also stained with the above kit components and subsequently the immunofluorescence was analyzed with the ZOE™ Fluorescent Cell Imager (Bio-Rad) at 1 h, 4 and 24 h after treatment. Cells were treated with Alexa Fluor® 488 annexin V/ propidium iodide (Vybrant® Apoptosis Assay Kit #2; Invitrogen) according to the manufacturer’s instructions 24 h after CAP application in order to determine the cytotoxicity of CAP by flow cytometric analysis with the Cytometer FC500 (Beckman coulter, Brea, CA, USA). STS (Sigma-Aldrich; 10 nM) treated cells served as positive control. Additionally, in a separate experimental set, controls and CAP-treated cells were also stained with the above kit components and subsequently the immunofluorescence was analyzed with the ZOE™ Fluorescent Cell Imager (Bio-Rad) at 1 h, 4 and 24 h after treatment. Inhibition of specific signaling pathway To reveal the intracellular signaling pathways involved in the effects of CAP on apoptosis regulation, cells were pre-treated with different inhibitors MEK1/2 (U0126; 10 µM; Calbiochem, San Diego, CA, USA) or PI3K (LY294002; 50 µM; Sigma-Aldrich), respectively, 60 min prior to CAP exposure in an additional experimental set. Subsequently, gene regulation of CASP9 and CASP3 was analyzed by real-time PCR. To reveal the intracellular signaling pathways involved in the effects of CAP on apoptosis regulation, cells were pre-treated with different inhibitors MEK1/2 (U0126; 10 µM; Calbiochem, San Diego, CA, USA) or PI3K (LY294002; 50 µM; Sigma-Aldrich), respectively, 60 min prior to CAP exposure in an additional experimental set. Subsequently, gene regulation of CASP9 and CASP3 was analyzed by real-time PCR. Caspase-3 assay Cells were cultured as previously described and treated with CAP for 30 and 60 s, respectively. Additionally, cells were treated with STS (Sigma-Aldrich; 10 nM) and after 60 min with CAP. Caspase-3 activity was quantified using the colorimetric kit Caspase-3 Assay Kit (Abcam) according to the manufacturer’s protocol at one day. A microplate spectrophotometer (BioTek Instruments) was used at 405 nm to measure the optical density. Cells were cultured as previously described and treated with CAP for 30 and 60 s, respectively. Additionally, cells were treated with STS (Sigma-Aldrich; 10 nM) and after 60 min with CAP. Caspase-3 activity was quantified using the colorimetric kit Caspase-3 Assay Kit (Abcam) according to the manufacturer’s protocol at one day. A microplate spectrophotometer (BioTek Instruments) was used at 405 nm to measure the optical density. Statistical analysis All experiments were performed in triplicates and repeated at least twice by calculating mean values and standard errors of the mean. GraphPad Prism Software (GraphPad Software, San Diego, USA) was used for statistical analysis with Kruskal-Wallis, and Mann-Whitney U-tests with Bonferroni-Holm correction (p < 0.05). All experiments were performed in triplicates and repeated at least twice by calculating mean values and standard errors of the mean. GraphPad Prism Software (GraphPad Software, San Diego, USA) was used for statistical analysis with Kruskal-Wallis, and Mann-Whitney U-tests with Bonferroni-Holm correction (p < 0.05). Cell culture and treatment: Human osteoblast-like cells (ATCC, CRL-1427™; Sigma-Aldrich, Taufkirchen, Germany) were cultured in Dulbecco’s modified essential medium (DMEM, Invitrogen, Germany) supplemented with 10 % fetal bovine serum (FBS, Invitrogen), 100 units penicillin, and 100 µg/mL streptomycin (Invitrogen) at 37°C in a humidified atmosphere of 5 % CO2 and 95 % humidity. For further studies, cells were seeded into 35 × 10 mm petri dishes and cultured to 70 % confluence. Cell culture medium was replaced every 2 days. For each experiment, FBS concentration was reduced to 1 % one day prior to the start of the experiment. CAP application: CAP was generated by a dielectric barrier discharge (Plasma ONE MEDICAL, Plasma MEDICAL SYSTEMS® GmbH, Nievern, Germany). Pulsed direct current (35 V) is transformed to high voltage resulting in an electric field, which forms the plasma. The CAP can be used at five levels of intensity (20 %, 40 %, 60 %, 80 %, 100 %), modulating the high voltage (3–18 kV). Osteoblast-like cells were exposed to CAP for 60 s as previously described [17]. Optimal time, intensity and distance were selected after preliminary experiments. To analyze the CAP effects in an inflammatory or apoptotic environment in vitro, in a separate experimental set, cells were pre-treated prior to the CAP application either with human recombinant interleukin (IL)-1β (PromoKine, Heidelberg, Germany; 1 ng/ml) or with staurosporine (STS, Sigma-Aldrich; 10 nM) one h before CAP application. Analysis of gene expression: 24 h after CAP application total RNA was extracted using an RNA extraction kit (Qiagen, Hilden, Germany). RNA (1 µg) was reverse transcribed into cDNA by use of iScript™ Select cDNA Synthesis Kit (Bio-Rad Laboratories, Munich, Germany) at 42°C for 90 min followed by 85°C for five min. One µl of cDNA was amplified as a template in a 25 µl reaction mixture containing 12.5 µl SsoAdvanced™ Universal SYBR® Green Supermix (Bio-Rad), 2.5 µl of specific commercially available primers (0.5 µM each; predesigned QuantiTect Primer Assay, Qiagen), and 9 µl deionized water. The mixture was at first heated at 95°C for 5 min, and then followed by 40 cycles with denaturation at 95°C for 10 s and combined annealing/extension at 60°C for 30 s. Expressions of p53, APAF-1, CASP9, CASP3, BAK1 and BCL2 mRNA were detected by real-time PCR using the iCycler iQ™5 detection system (Bio-Rad). Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as an endogenous control. The data were analyzed by the comparative threshold cycle method. Analysis of p53 nuclear translocation: Osteoblast-like cells were seeded on glass coverslips (Thermo Fisher Scientific Inc., Schwerte, Germany) and propagated until 70 % of confluence was achieved. Cells were treated with CAP as described above. After 15 min, 30 and 60 min cells were washed twice with 1x PBS (Invitrogen) and fixed with 4 % paraformaldehyde (Sigma-Aldrich) at pH 7.4 and room temperature for 10 min. After another washing step cells were permeabilized in 0.1 % Triton X-100 (Sigma-Aldrich) for 5 min. Next, the cells were washed again and blocked with 5 % BSA in PBS for 60 min to reduce the background staining. Afterwards, the cells were incubated with rabbit anti-p53 primary antibody (Abcam, Berlin, Germany; 1:200) at 4 °C overnight. Following another rinsing step, the cells were incubated with CY3-conjugated goat anti-rabbit IgG secondary antibody (Abcam; 1:1000) at room temperature for 45 min. Finally, location of p53 within the stained cells was analysed with the ZOE™ Fluorescent Cell Imager (Bio-Rad). The images were captured with an integrated digital 5MP CMOS camera. Immunoblotting assay: To study the regulatory effects of CAP on apoptotic activating factor in osteoblast-like cells, immunoblotting was performed. Cells were treated with CAP for 1 d. Whole protein lysate was prepared on ice by adding cell lysis buffer (Bio-Techne GmbH, Wiesbaden, Germany) containing freshly mixed protease inhibitor cocktail (Sigma-Aldrich) to the cells. Total protein concentration was quantified by using a BCA Protein Assay Reagent Kit (Pierce Biotechnology, Rockford, IL, USA) and a microplate spectrophotometer (PowerWave x, BioTek Instruments, Winooski, VT, USA) at 562 nm. 10 % SDS-PAGE gel was used to load an equal amount of proteins into each slot using an electrophoresis system (SE260 Mighty Small II Deluxe Mini Vertical Protein Electrophoresis Unit, Hoefer, Inc., Holliston, USA). After electrophoresis, the samples were transferred to nitrocellulose membranes (Bio-Rad Laboratories) using TE22 Mighty Small Transfer Tank (Hoefer, Inc.). Prior to primary antibody incubation, nonspecific background was blocked with 2.5 % BSA in 0.1 % TBS-T for one hour at room temperature. Subsequently, membranes were incubated with primary rabbit polyclonal anti-APAF-1 (ab2000, Abcam1:500) and anti-β-actin (ab227387, Abcam; 1:10,000) over-night at 4 °C. After several washing steps, membranes were incubated with goat anti-rabbit IgG (ab205718, Abcam; 1:10,000), an HRP-conjugated secondary antibody, for 45 min at room temperature. Detection of the immune-reactive bands was performed with the enhanced chemiluminescence (ECL) Substrate (Pierce). ImageJ software was used to quantify relative protein amounts and to normalize to β-actin levels. Analysis of cell morphology: Osteoblast-like cells were seeded on glass coverslips as described above. As soon as the monolayer reached 70 % of confluence, medium was replaced by reduced serum-containing medium as described above and were treated with CAP. Morphological modification of CAP-treated cells was analyzed with a double Phalloidin and DAPI staining after 24 h. Fixed and permeabilized cell monolayers were incubated with fluorescent conjugates of Phalloidin (Sigma-Aldrich, 100 µM) for 60 min in order to label the actin filaments. Next, Phalloidin working solution was aspirated, and DAPI working solution (Sigma-Aldrich, 1 µg/ml) was added for 5 min to the cells to label DNA. Finally, after another rinsing, stained cells were visualized with the ZOE™ Fluorescent Cell Imager (Bio-Rad) as described above. Analysis of cell morphology was performed using ImageJ software by measuring cell area and aspect ratio (major axis/minor axis). For the measurements, 5 slides each were randomly selected. Vybrant apoptosis assay: Cells were treated with Alexa Fluor® 488 annexin V/ propidium iodide (Vybrant® Apoptosis Assay Kit #2; Invitrogen) according to the manufacturer’s instructions 24 h after CAP application in order to determine the cytotoxicity of CAP by flow cytometric analysis with the Cytometer FC500 (Beckman coulter, Brea, CA, USA). STS (Sigma-Aldrich; 10 nM) treated cells served as positive control. Additionally, in a separate experimental set, controls and CAP-treated cells were also stained with the above kit components and subsequently the immunofluorescence was analyzed with the ZOE™ Fluorescent Cell Imager (Bio-Rad) at 1 h, 4 and 24 h after treatment. Inhibition of specific signaling pathway: To reveal the intracellular signaling pathways involved in the effects of CAP on apoptosis regulation, cells were pre-treated with different inhibitors MEK1/2 (U0126; 10 µM; Calbiochem, San Diego, CA, USA) or PI3K (LY294002; 50 µM; Sigma-Aldrich), respectively, 60 min prior to CAP exposure in an additional experimental set. Subsequently, gene regulation of CASP9 and CASP3 was analyzed by real-time PCR. Caspase-3 assay: Cells were cultured as previously described and treated with CAP for 30 and 60 s, respectively. Additionally, cells were treated with STS (Sigma-Aldrich; 10 nM) and after 60 min with CAP. Caspase-3 activity was quantified using the colorimetric kit Caspase-3 Assay Kit (Abcam) according to the manufacturer’s protocol at one day. A microplate spectrophotometer (BioTek Instruments) was used at 405 nm to measure the optical density. Statistical analysis: All experiments were performed in triplicates and repeated at least twice by calculating mean values and standard errors of the mean. GraphPad Prism Software (GraphPad Software, San Diego, USA) was used for statistical analysis with Kruskal-Wallis, and Mann-Whitney U-tests with Bonferroni-Holm correction (p < 0.05). Results: Effect of CAP on gene expression of markers of apoptosis Since CAP has been described to have a stimulating effect on multiple cells, we examined a possible anti-apoptotic effect of CAP on the gene regulation in osteoblast-like cells. Regulation of critical apoptotic molecules like APAF-1, CASP9 and CASP3, and cellular tumor antigen p53, was measured at the transcriptional level 1 d after CAP application. CAP treatment resulted in a significant time-dependent decrease of p53. The effect was 20 % for 30 s and 30 % for 60 s as compared to control at 1 d. Furthermore, CAP downregulated significantly APAF-1 by 18,4 % (30 s treatment) and by 62,6 % (60 s treatment) as compared to untreated cells at 1 d. Moreover, CAP resulted in a significant downregulation of CASP9 and CASP3 by 24 % and 31,8 %, respectively, after 60 s of treatment at 1 d. Similarly, for these genes, treatment for 30 s resulted in weaker downregulation of mRNA expression level compared to 60 s. In addition, we observed CAP effects on the proapoptotic marker BAK1, for which a downregulation of gene expression by 34,8 % was observed after 60 s of treatment. Interestingly, 60 s of CAP treatment led to an upregulation of BCL2, which plays an important role in antiapoptotic processes (Fig. 1a). mRNA-expression of apoptotic markers in human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d as compared to untreated cells (-). a mRNA-expression of p53, APAF-1, CASP9, CASP3, BAK1, and BCL2, (n = 9). b mRNA-expression of p53, APAF1, CASP9, and CASP3 in IL-1β preincubated human osteoblast-like cells, (n = 9). c mRNA-expression of p53, APAF1, CASP9, and CASP3 in STS preincubated human osteoblast-like cells, (n = 9). * statistical significance (p < 0.05) Since CAP has been described to have a stimulating effect on multiple cells, we examined a possible anti-apoptotic effect of CAP on the gene regulation in osteoblast-like cells. Regulation of critical apoptotic molecules like APAF-1, CASP9 and CASP3, and cellular tumor antigen p53, was measured at the transcriptional level 1 d after CAP application. CAP treatment resulted in a significant time-dependent decrease of p53. The effect was 20 % for 30 s and 30 % for 60 s as compared to control at 1 d. Furthermore, CAP downregulated significantly APAF-1 by 18,4 % (30 s treatment) and by 62,6 % (60 s treatment) as compared to untreated cells at 1 d. Moreover, CAP resulted in a significant downregulation of CASP9 and CASP3 by 24 % and 31,8 %, respectively, after 60 s of treatment at 1 d. Similarly, for these genes, treatment for 30 s resulted in weaker downregulation of mRNA expression level compared to 60 s. In addition, we observed CAP effects on the proapoptotic marker BAK1, for which a downregulation of gene expression by 34,8 % was observed after 60 s of treatment. Interestingly, 60 s of CAP treatment led to an upregulation of BCL2, which plays an important role in antiapoptotic processes (Fig. 1a). mRNA-expression of apoptotic markers in human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d as compared to untreated cells (-). a mRNA-expression of p53, APAF-1, CASP9, CASP3, BAK1, and BCL2, (n = 9). b mRNA-expression of p53, APAF1, CASP9, and CASP3 in IL-1β preincubated human osteoblast-like cells, (n = 9). c mRNA-expression of p53, APAF1, CASP9, and CASP3 in STS preincubated human osteoblast-like cells, (n = 9). * statistical significance (p < 0.05) Effect of CAP on the gene expression of apoptotic molecules under inflammatory and apoptotic conditions In order to study the effects of CAP on the gene expression on apoptotic markers in inflammation, IL-1β pre-incubated cells were treated with CAP. Our data showed, that CAP counteracted the IL-1β-induced overexpression of inflammation- and apoptosis-related genes. Under inflammatory condition, 60 s of CAP application led to a significant reduction of p53, CASP9, and CASP3 at one day. The downregulating effect was strongest for p53, which was 33 %. Another strong effect was shown for CASP3 mRNA expression: CAP treatment of IL-1β pre-incubated cells resulted in a downregulation by 21,8 %. (Fig. 1b). Similar results were observed for STS preincubated cells. Especially in such an apoptotic environment, the significant anti-apoptotic effect of 60 s CAP treatment could be seen at the transcriptional level. The CAP induced down-regulation of p53 mRNA expression was 32,9 %. In addition, a downregulation of CASP9 and CASP3 mRNA by 30,2 % and 56,9 %, respectively, was observed after 60 s of CAP treatment at one day (Fig. 1c). In order to study the effects of CAP on the gene expression on apoptotic markers in inflammation, IL-1β pre-incubated cells were treated with CAP. Our data showed, that CAP counteracted the IL-1β-induced overexpression of inflammation- and apoptosis-related genes. Under inflammatory condition, 60 s of CAP application led to a significant reduction of p53, CASP9, and CASP3 at one day. The downregulating effect was strongest for p53, which was 33 %. Another strong effect was shown for CASP3 mRNA expression: CAP treatment of IL-1β pre-incubated cells resulted in a downregulation by 21,8 %. (Fig. 1b). Similar results were observed for STS preincubated cells. Especially in such an apoptotic environment, the significant anti-apoptotic effect of 60 s CAP treatment could be seen at the transcriptional level. The CAP induced down-regulation of p53 mRNA expression was 32,9 %. In addition, a downregulation of CASP9 and CASP3 mRNA by 30,2 % and 56,9 %, respectively, was observed after 60 s of CAP treatment at one day (Fig. 1c). Effect of CAP on p53 nuclear translocation and APAF-1 protein levels Additionally, a p53 nuclear translocation and accumulation was observed after CAP treatment of the cells, with the highest level at 30 min post treatment (Fig. 2a). Furthermore, p53 expression was shown by immunofluorescence at 1 d, visualizing a nearly reduced expression (Fig. 2b). By visualizing the total protein level of APAF-1 protein after CAP application, a slight increase with a peak after 30 min and a subsequent decrease could be observed (Fig. 2c). Fig. 2Stimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control Stimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control Additionally, a p53 nuclear translocation and accumulation was observed after CAP treatment of the cells, with the highest level at 30 min post treatment (Fig. 2a). Furthermore, p53 expression was shown by immunofluorescence at 1 d, visualizing a nearly reduced expression (Fig. 2b). By visualizing the total protein level of APAF-1 protein after CAP application, a slight increase with a peak after 30 min and a subsequent decrease could be observed (Fig. 2c). Fig. 2Stimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control Stimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control Influence of CAP on cell morphology As visualized by fluorescence microscopy, exposure of cells to CAP caused changes of the cytoskeleton at one day (Fig. 3a). The cells changed their morphology from spindle-shaped to polygonal and had more lamellipodia and filopodia. The area of the cells increased by 38 % on average, why the aspect ratio (major axis/minor axis) decreased by 32,2 %. Effects of CAP application on the morphology and apoptosis of cultured human osteoblast-like cells at 1 d. a Actin cytoskeleton of osteoblast-like cells, untreated (CAP -) and treated (CAP +) for 60 s. Cytoskeleton and nucleus are stained with FITC conjugated phalloidin (green) and DAPI (blue), respectively, (n = 3). b Apoptotic effects in human osteoblast-like cells after 60 s of CAP treatment displayed by a Vybrant apoptosis assay. Results of flow cytometry analysis of osteoblast-like cell apoptosis after 24 h of treatment with CAP (CAP +) as compared to untreated cells (CAP -). STS preincubated cells (STS +) served as positive control. Flow cytometry was performed after cells were stained with Annexin-FITC and propidium iodide using Vybrant Apoptosis assay kit, (n = 3). * statistical significance to positive control (p < 0.05) As visualized by fluorescence microscopy, exposure of cells to CAP caused changes of the cytoskeleton at one day (Fig. 3a). The cells changed their morphology from spindle-shaped to polygonal and had more lamellipodia and filopodia. The area of the cells increased by 38 % on average, why the aspect ratio (major axis/minor axis) decreased by 32,2 %. Effects of CAP application on the morphology and apoptosis of cultured human osteoblast-like cells at 1 d. a Actin cytoskeleton of osteoblast-like cells, untreated (CAP -) and treated (CAP +) for 60 s. Cytoskeleton and nucleus are stained with FITC conjugated phalloidin (green) and DAPI (blue), respectively, (n = 3). b Apoptotic effects in human osteoblast-like cells after 60 s of CAP treatment displayed by a Vybrant apoptosis assay. Results of flow cytometry analysis of osteoblast-like cell apoptosis after 24 h of treatment with CAP (CAP +) as compared to untreated cells (CAP -). STS preincubated cells (STS +) served as positive control. Flow cytometry was performed after cells were stained with Annexin-FITC and propidium iodide using Vybrant Apoptosis assay kit, (n = 3). * statistical significance to positive control (p < 0.05) Actions of CAP on apoptosis Furthermore, anti-apoptotic CAP influence was displayed by flow cytometry: approximately 93.5 % of cells were viable, which was similar to untreated cells (93.1 %; Fig. 3b). These results were also confirmed by immunofluorescence, demonstrating, that CAP had no regulatory effect on the numbers of apoptotic or dead cells at 1 h, 4 and 24 h after treatment (data not shown). Furthermore, anti-apoptotic CAP influence was displayed by flow cytometry: approximately 93.5 % of cells were viable, which was similar to untreated cells (93.1 %; Fig. 3b). These results were also confirmed by immunofluorescence, demonstrating, that CAP had no regulatory effect on the numbers of apoptotic or dead cells at 1 h, 4 and 24 h after treatment (data not shown). Influence of CAP on specific signaling pathways To better understand the intracellular mechanisms of CAP-dependent down-regulation of CASP9 and CASP3 gene expression, we incubated the cells with a MEK 1/2 and a PI3K inhibitor, both regulating anti-apoptotic processes. Blocking the MEK 1/2 pathway counteracted CAP-induced downregulation of CASP9 (Fig. 4a). Furthermore, the anti-apoptotic effect of CAP on CASP9 was also blocked after application of a PI3K inhibitor (Fig. 4b). Similar effects were observed for the gene expression of CASP3, but to a lower extent (data not shown). Fig. 4Analysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05) Analysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05) To better understand the intracellular mechanisms of CAP-dependent down-regulation of CASP9 and CASP3 gene expression, we incubated the cells with a MEK 1/2 and a PI3K inhibitor, both regulating anti-apoptotic processes. Blocking the MEK 1/2 pathway counteracted CAP-induced downregulation of CASP9 (Fig. 4a). Furthermore, the anti-apoptotic effect of CAP on CASP9 was also blocked after application of a PI3K inhibitor (Fig. 4b). Similar effects were observed for the gene expression of CASP3, but to a lower extent (data not shown). Fig. 4Analysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05) Analysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05) Regulation of caspase-3 activity by CAP To confirm the above gene expression results, caspase-3 activity of CAP-treated and non-CAP-treated cells was determined. Compared to untreated cells, there was a slight time-dependent decrease in Caspase 3 activity at 1 d, which was approximately 30 % lower after 60 s of treatment (Fig. 4c). An even more significant downregulation of caspase-3 activity could be achieved by pre-incubating the cells with STS. In this apoptotic environment, caspase-3 activity was downregulated by 20 % after 30 s of CAP treatment and by 36 % after 60 s of CAP treatment at one day (Fig. 4d). To confirm the above gene expression results, caspase-3 activity of CAP-treated and non-CAP-treated cells was determined. Compared to untreated cells, there was a slight time-dependent decrease in Caspase 3 activity at 1 d, which was approximately 30 % lower after 60 s of treatment (Fig. 4c). An even more significant downregulation of caspase-3 activity could be achieved by pre-incubating the cells with STS. In this apoptotic environment, caspase-3 activity was downregulated by 20 % after 30 s of CAP treatment and by 36 % after 60 s of CAP treatment at one day (Fig. 4d). Effect of CAP on gene expression of markers of apoptosis: Since CAP has been described to have a stimulating effect on multiple cells, we examined a possible anti-apoptotic effect of CAP on the gene regulation in osteoblast-like cells. Regulation of critical apoptotic molecules like APAF-1, CASP9 and CASP3, and cellular tumor antigen p53, was measured at the transcriptional level 1 d after CAP application. CAP treatment resulted in a significant time-dependent decrease of p53. The effect was 20 % for 30 s and 30 % for 60 s as compared to control at 1 d. Furthermore, CAP downregulated significantly APAF-1 by 18,4 % (30 s treatment) and by 62,6 % (60 s treatment) as compared to untreated cells at 1 d. Moreover, CAP resulted in a significant downregulation of CASP9 and CASP3 by 24 % and 31,8 %, respectively, after 60 s of treatment at 1 d. Similarly, for these genes, treatment for 30 s resulted in weaker downregulation of mRNA expression level compared to 60 s. In addition, we observed CAP effects on the proapoptotic marker BAK1, for which a downregulation of gene expression by 34,8 % was observed after 60 s of treatment. Interestingly, 60 s of CAP treatment led to an upregulation of BCL2, which plays an important role in antiapoptotic processes (Fig. 1a). mRNA-expression of apoptotic markers in human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d as compared to untreated cells (-). a mRNA-expression of p53, APAF-1, CASP9, CASP3, BAK1, and BCL2, (n = 9). b mRNA-expression of p53, APAF1, CASP9, and CASP3 in IL-1β preincubated human osteoblast-like cells, (n = 9). c mRNA-expression of p53, APAF1, CASP9, and CASP3 in STS preincubated human osteoblast-like cells, (n = 9). * statistical significance (p < 0.05) Effect of CAP on the gene expression of apoptotic molecules under inflammatory and apoptotic conditions: In order to study the effects of CAP on the gene expression on apoptotic markers in inflammation, IL-1β pre-incubated cells were treated with CAP. Our data showed, that CAP counteracted the IL-1β-induced overexpression of inflammation- and apoptosis-related genes. Under inflammatory condition, 60 s of CAP application led to a significant reduction of p53, CASP9, and CASP3 at one day. The downregulating effect was strongest for p53, which was 33 %. Another strong effect was shown for CASP3 mRNA expression: CAP treatment of IL-1β pre-incubated cells resulted in a downregulation by 21,8 %. (Fig. 1b). Similar results were observed for STS preincubated cells. Especially in such an apoptotic environment, the significant anti-apoptotic effect of 60 s CAP treatment could be seen at the transcriptional level. The CAP induced down-regulation of p53 mRNA expression was 32,9 %. In addition, a downregulation of CASP9 and CASP3 mRNA by 30,2 % and 56,9 %, respectively, was observed after 60 s of CAP treatment at one day (Fig. 1c). Effect of CAP on p53 nuclear translocation and APAF-1 protein levels: Additionally, a p53 nuclear translocation and accumulation was observed after CAP treatment of the cells, with the highest level at 30 min post treatment (Fig. 2a). Furthermore, p53 expression was shown by immunofluorescence at 1 d, visualizing a nearly reduced expression (Fig. 2b). By visualizing the total protein level of APAF-1 protein after CAP application, a slight increase with a peak after 30 min and a subsequent decrease could be observed (Fig. 2c). Fig. 2Stimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control Stimulatory effect of CAP on p53 and APAF-1 levels in human osteoblast-like cells. a Nuclear translocation of p53 after 60 s of CAP treatment at 15 min, 30 min, 60 min as compared to untreated cells (control), (n = 3). b Immunofluorescence staining of p53 after 60 s of CAP treatment at 1 d as compared to untreated cells (control), (n = 3). c Analysis of APAF-1 protein level in total cell lysate after CAP treatment at 15 min, 30 min, 60 min and 1 d using western blot as compared to untreated cells (CAP -). Protein density values were calculated by measurement of the mean gray values for each blot, subsequent inversion and normalization to β-actin, (n = 3). A representative image of one experiment is shown. d Results of the semi-quantitative analysis performed by ImageJ software. Data were expressed as a band intensity relative to control Influence of CAP on cell morphology: As visualized by fluorescence microscopy, exposure of cells to CAP caused changes of the cytoskeleton at one day (Fig. 3a). The cells changed their morphology from spindle-shaped to polygonal and had more lamellipodia and filopodia. The area of the cells increased by 38 % on average, why the aspect ratio (major axis/minor axis) decreased by 32,2 %. Effects of CAP application on the morphology and apoptosis of cultured human osteoblast-like cells at 1 d. a Actin cytoskeleton of osteoblast-like cells, untreated (CAP -) and treated (CAP +) for 60 s. Cytoskeleton and nucleus are stained with FITC conjugated phalloidin (green) and DAPI (blue), respectively, (n = 3). b Apoptotic effects in human osteoblast-like cells after 60 s of CAP treatment displayed by a Vybrant apoptosis assay. Results of flow cytometry analysis of osteoblast-like cell apoptosis after 24 h of treatment with CAP (CAP +) as compared to untreated cells (CAP -). STS preincubated cells (STS +) served as positive control. Flow cytometry was performed after cells were stained with Annexin-FITC and propidium iodide using Vybrant Apoptosis assay kit, (n = 3). * statistical significance to positive control (p < 0.05) Actions of CAP on apoptosis: Furthermore, anti-apoptotic CAP influence was displayed by flow cytometry: approximately 93.5 % of cells were viable, which was similar to untreated cells (93.1 %; Fig. 3b). These results were also confirmed by immunofluorescence, demonstrating, that CAP had no regulatory effect on the numbers of apoptotic or dead cells at 1 h, 4 and 24 h after treatment (data not shown). Influence of CAP on specific signaling pathways: To better understand the intracellular mechanisms of CAP-dependent down-regulation of CASP9 and CASP3 gene expression, we incubated the cells with a MEK 1/2 and a PI3K inhibitor, both regulating anti-apoptotic processes. Blocking the MEK 1/2 pathway counteracted CAP-induced downregulation of CASP9 (Fig. 4a). Furthermore, the anti-apoptotic effect of CAP on CASP9 was also blocked after application of a PI3K inhibitor (Fig. 4b). Similar effects were observed for the gene expression of CASP3, but to a lower extent (data not shown). Fig. 4Analysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05) Analysis of CASP9 and CASP3 in human osteoblast-like cells after 60 s of CAP treatment at 1 d (+) as compared to untreated cells (-). a mRNA expression of CASP9 after preincubation with MEK 1/2 inhibitor U0126, (n = 9). b mRNA expression of CASP9 after preincubation with PI3K inhibitor LY294002, (n = 9). c Caspase-3 activity after 30 and 60 s of CAP treatment at 1 d, (n = 9). d Caspase-3 activity in STS preincubated human osteoblast-like cells after 30 and 60 s of CAP treatment at 1 d, (n = 9). * statistical significance (p < 0.05) Regulation of caspase-3 activity by CAP: To confirm the above gene expression results, caspase-3 activity of CAP-treated and non-CAP-treated cells was determined. Compared to untreated cells, there was a slight time-dependent decrease in Caspase 3 activity at 1 d, which was approximately 30 % lower after 60 s of treatment (Fig. 4c). An even more significant downregulation of caspase-3 activity could be achieved by pre-incubating the cells with STS. In this apoptotic environment, caspase-3 activity was downregulated by 20 % after 30 s of CAP treatment and by 36 % after 60 s of CAP treatment at one day (Fig. 4d). Discussion: In the present study, CAP had been shown to down-regulate key apoptosis-related markers in osteoblast-like cells, suggesting a positive effect of CAP on hard tissue healing. Additionally, an anti-apoptotic effect of CAP in an inflammatory and apoptotic environment was shown in vitro. Furthermore, it has been demonstrated by DAPI/ Phalloidin staining, that CAP exposition promotes a change in cell morphology. These results imply that CAP might be a promising treatment to help to enhance wound healing of chronical hard tissue wounds. First, we aimed to analyse the effects of CAP on gene expression of apoptotic markers in osteoblast-like cells. Therefore, we studied the expressions of the key apoptotic markers p53, APAF-1, CASP9, and CASP3 that were downregulated in CAP treated cells as compared to untreated cells. The tumour suppressor p53 is a main regulator of apoptosis induction in damaged and senescent cells and plays an important role in cellular stress responses [28]. Interestingly, the nuclear translocation of p53 was increased at 30 min after CAP application as an early cellular response to the CAP treatment. p53 activation in osteoblast-like cells seems to be enhanced as an early response after CAP treatment. However, after 24 h p53 gene expression was significantly reduced. Similar effects of CAP were observed in HaCaT keratinocytes: 15 min after stimulation with argon generated CAP for 180 s a maximum increase of p53 phosphorylation has been seen, returning to a baseline level within 24 h [29]. There seem to be differences in the regulation of keratinocytes and osteoblast-like cells, different application times or the CAP device used. Further experiments are necessary to investigate how plasma affects activation of transcription factors. A main effector of p53 is APAF-1 [30]. The downregulation of this apoptotic marker in osteoblast-like cells after CAP treatment underlines the protective effect of CAP. Similar CAP effects have also been described in PDL cells [17]. In contrast, the CAP treatment of dysplastic cells like leukaemia or melanoma led to an upregulation of p53 [23, 31]. The cellular response of the osteoblast-like cells we used in our study declare, that there seem to be different responses in different cells – maybe depending on intensity and duration of CAP application. In the studies mentioned above, the cells were treated for different periods: Arndt et al. has exposed cells to CAP for 120 s, Turrini et al. for 10 s, and Gümbel et al. for 60 and 120 s. All the authors used different CAP devices. Different cell types or different CAP devices might possibly induce different cellular responses regarding CAP treatment. Cold plasma could therefore be useful for various, even opposing medical purposes, such as wound healing on the one hand and tumour therapy strategies on the other. Further research is needed to establish an optimal therapeutic approach. Additionally, we focused on the CAP-induced downregulation of CASP9 and CASP3. CASP3 plays an important role during the initiation of apoptosis [32]. The protein itself is processed and activated by CASP9, which is crucial for the apoptotic protease cascade [33]. Apoptosis is regulated by various signaling pathways. The MEK/ERK signaling pathway regulates the activation of apoptosis under circumstances of e.g. DNA damage [34]. A significant involvement of the MAP kinase signaling pathway in the effects of an indirect CAP treatment with argon generated plasma has already been shown by other authors: Schmidt et al. observed a CAP-dependent activation of MAP kinase signaling effectors, such as anti-apoptotic Hsp27, growth factors and cytokines [29]. Inhibition of the MAP kinase pathway by the U0126 inhibitor led to a reduction of the anti-apoptotic CAP effect. Additionally, we investigated the PI3 kinase signaling pathway. Other authors have described, that CAP effects were mediated by the PI3 kinase pathway as well [35, 36]: As described by Adhikari et al., CAP mediates PI3 kinase-mediated reduction of the mTOR gene, leading to a reduction in apoptosis inhibition in human melanoma cells [36]. Blocking PI3 kinase caused an inhibition of the CAP effect. As mentioned above, CAP appears to have different effects in different cells, possibly depending on the device, the used gas or a different application time. The fact that the CAP-induced downregulation of CASP9 can be counteracted by both inhibitors confirms the hypothesis that multiple pathways are responsible for the CAP effects. Further studies, possibly by blocking the corresponding signaling pathways simultaneously, are necessary to better understand the effects of CAP. With regard to the study of Schmidt et al., the differences in the significance of the signaling pathway could be due to the different cells and the different way of CAP generation [29]. Further studies are necessary to point this out. Our results concerning downregulation of CASP3 indicate positive effects of CAP treatment for osteoblast-like cells. Schmidt et al. observed similar results in keratinocytes after 20 s of CAP treatment. However, for longer treatments up to 180 s an induction of CASP3 was observed [29]. In contrast, an upregulation of CASP3 in LNCaP cells after 10 s of argon CAP application was observed by Weiss et al. [37, 38]. Nevertheless, the difference in CASP3 regulation after CAP treatment could be associated due to differences in cell types and different application times. Due to the fact that we have observed differences in the regulation of apoptotic genes in osteoblast-like cells compared to the cells described in the literature, a comprehensive study of anti-apoptotic genes in malignant cells would be interesting. Further studies have to clarify the parameters of CAP treatment and its effect on different cells. It has also been considered that both inhibiting and stimulating signals contribute to the apoptotic cascade in a biologically balanced manner. Antiapoptotic genes, such as BCL2, Hsp72 or Hsp90 have been described to be upregulated in cells resistant to apoptosis [39]. For this reason, we focused on the anti-apoptotic gene BCL2 and one of its antagonists BAK1. We observed an upregulation of BCL2 gene expression, which was time-dependent after 30 resp. 60 s of CAP treatment at one day. Similar results were observed in leukaemia cells, with a further increase in BCL2 expression after 120 s of CAP exposure compared to 60 s [23]. Interestingly, Turrini et al. also show an increase in apoptotic cells by CAP using flow cytometry analysis and an increase in pro-apoptotic markers that was not detectable in our study. Once again, there is evidence that different cells can react differently to CAP. Further studies could help to illustrate the CAP mediated regulation of anti-apoptotic genes. The effect of CAP on bacteria is well known, being both effective to reduce bacterial load on surfaces and tissues. [40, 41]. Clinical studies have shown a significant reduction of microbes in wounds and also a reduction in the time required for wound closure by argon CAP [42, 43]. Another aspect of chronic wounds is the persistence of inflammation and apoptotic processes. For single simulation of CAP effects on cells and tissues in an inflamed environment, representing chronic wounds, we studied the expression of IL-1β pre-treated osteoblast-like cells after CAP treatment. IL-1β has been shown to be increased in inflamed gingival tissues [44, 45]. In previously published studied the preincubation of IL-1β resulted in an upregulation of different markers, such as COX2, CCL2, IL6, IL8 or MMP1 [46–48]. Our study provides evidence that IL-1β-induced upregulation of apoptosis markers can be significantly attenuated by CAP application. This could indicate that the reduction of apoptotic activity of cells in chronic wounds could also be a reason for the surface reduction of chronic wounds after CAP treatment. Further clinical studies are necessary to clarify its effect on infected wounds. In addition, it must be taken into account that we only used GAPDH as a reference gene, which remained constant in our experiments and has also been described by other authors for the study of mRNA expression after CAP application [17, 27, 29, 49, 50]. Finally, it should also be kept in mind that we only analysed mRNA expression after 24 h. Additional investigations on longer time points should be the subject of further studies. For evaluation of morphologic changes and viability of cells, phalloidin and DAPI staining were used. CAP-stimulated cells did not show apoptotic signs after 24 h as compared to the control, but had higher number of lamellipodia and filopodia. The cytoskeletal change of more filopodia and lamellipodia is characteristic of increased migration [51, 52]. Cell migration as a fundamental mechanism involved in wound repair requires higher cell deformation [53]. In a previous study we observed the effect of CAP on cell migration of osteoblast-like cells in vitro, shown by an XTT assay and a higher wound-fill-rate - therefore our results confirm previous findings [27]. Other cell types like fibroblasts, epithelial cells and keratinocytes have also been described to show higher levels of cell migration after CAP exposure [14, 15, 54]. A higher cell migration is required for wound healing processes, which has been shown to be accelerated by CAP [55]. Different morphologic effects of CAP regarding application times and intensity parameters have been described in the literature. In a study of Eisenhauer and coworkers a high intensity CAP treatment caused a decreased protein expression and less lamellipodia as compared to lower intensity [56]. Future studies are necessary to understand its regulatory effect on cell morphology of different cell types and the involved molecular mechanisms. For a quantification of apoptotic cells flow cytometry analysis was performed. Annexin V is used to stain cells that expose phosphatidylserine at the exterior of the cell membrane at the time of early apoptosis [57, 58]. Propidium iodide binds to DNA after disruption of the cell membrane and therefore functions as a marker for dead cells [59]. The combination of these dyes allows us to distinguish early apoptotic cells from necrotic cells. We even investigated that proliferation, migration and viability were promoted by CAP, as previously published results have shown [27]. Regarding our results mentioned above, CAP appears to have a positive influence on individual apoptotic genes and proteins, displaying that CAP is not only non-apoptotic but has an apoptosis-inhibiting effect. The differences in apoptosis between the gene analyses and the FACS analysis could be due to the different sensitivity of the assays. It is possible that the results of gene expression would also be detectable at the FACS level after a certain time. Altogether, CAP can be derived from different gases. In our experiments we used a plasma device which operates with ambient air. CAP can also be generated using inert gases like argon or helium [60–62]. The management of ambient air devices facilitates for clinical application, because it does not require any additional gas supply. However, the composition of ambient air-generated CAP is more dependent from external factors like pressure and temperature instead of a consistent inert gas. Further studies should clarify which gas would be beneficial for clinical application. Conclusions: Short CAP application on osteoblast-like cells resulted in a reduced apoptosis and downregulated expression of apoptotic markers in an inflammatory and apoptotic environment. Additionally, CAP treatment led to changes in cell morphology. Therefore, our data suggest that CAP may serve patients with chronic hard-tissue wounds.
Background: Cold atmospheric plasma (CAP) has recently been identified as a novel therapeutic strategy for supporting processes of wound healing. Since CAP is additionally known to kill malignant cells, our study intends to determine the influence of CAP on crucial molecules involved in the molecular mechanism of apoptosis in osteoblast-like cells. Methods: Human osteoblast-like cells were CAP-treated for 30 and 60 s. CAP effects on critical factors related to apoptosis were studied at transcriptional and protein level using real time-PCR, immunofluorescence staining and western blot. Phalloidin / DAPI staining was used for analyzing the cell morphology. In addition, apoptotic outcomes of CAP were displayed using flow cytometry analysis. For studying intracellular signaling pathways, MAP kinase MEK 1/2 and PI3K were blocked. Finally, the effects of CAP on caspase-3 activity were examined using a caspase-3 assay. Results: CAP treatment resulted in a significant downregulation of p53 and apoptotic protease activating factor (APAF)-1, caspase (CASP)9, CASP3, BCL2 Antagonist/Killer (BAK)1, and B-Cell Lymphoma (BCL)2 mRNA expression at 1 d. An inhibitory effect of CAP on apoptotic genes was also shown under inflammatory and apoptotic conditions. Nuclear translocation of p53 was determined in CAP treated cells at the early and late stage, after 15 min, 30 min, and 1 h. p53 and APAF-1 protein levels were reduced at 1 d, visualized by immunofluorescence and western blot, respectively. Moreover, a morphological cytoskeleton modification was observed after CAP treatment at 1 d. Further, both CAP-treated and untreated (control) cells remained equally vital as detected by flow cytometry analysis. Interestingly, CAP-associated downregulation of CASP9 and CASP3 mRNA gene expression was also visible after blocking MAP kinase and PI3K. Finally, CAP led to a decrease in CASP3 activity in osteoblast-like cells under normal and apoptotic conditions. Conclusions: Our in vitro-study demonstrated, that CAP decreases apoptosis related molecules in osteoblast-like cells, underlining a beneficial effect on hard-tissue cells.
Background: The healing of hard and soft tissue areas is a complex interplay between many upregulated factors in order to regenerate the former anatomic structure. Especially, the healing of bone is a complicated and long-term process, involving many different mechanisms like the growth of new blood vessels, the aggregation of mesenchymal stem cells, the differentiation of osteoblasts and the formation of the extracellular matrix [1, 2]. Whenever the wound healing does not take place in a normal way, which can occur at multiple steps along the cascade, a chronic wound may result. Apart from the fact of being an enormous psychological burden for the patient, the continuous treatment is also expensive for the healthcare system [3]. Chronic wounds have a high proportion of inflammatory, damaged or dead cells, which are usually cleared by macrophages [4]. Another important process involved in damaged cells removal is apoptosis also known as programmed cell death. Apoptosis can be induced by an extrinsic and intrinsic pathway [5, 6]. The extrinsic pathway can be initiated by molecules such as Tumor Necrosis Factor (TNF)α, which modulate an apoptotic cascade, which finally leads to the activation of CASP3. The intrinsic pathway can be triggered by cell stress, which leads to the activation of reactive oxygen species (ROS) or the release of p53 caused by DNA damage. The process results in the release of apoptogenic factors, such as cytochrome c, and apoptotic protease activating factor (APAF)-1, and an activation of caspase (CASP)9 and CASP3. CASP3 activation causes instability of cell membranes and fragmentation of DNA [7–9]. The apoptotic cascade is further modulated by anti-apoptotic genes, such as BCL2 Antagonist/Killer (BAK)1, or anti-apoptotic genes, such as B-Cell Lymphoma (BCL)2 [10]. Currently, CAP, being generated by inert gas or the ambient air as the fourth state of matter, has been shown to improve wound tissue healing - it seems to be a promising therapeutic approach for non-healing inflammatory wounds [11–13]. Though the specific effects of CAP need to be unrevealed, the CAP treatment of tissues seems to trigger a number of cellular mechanisms: in vitro-studies show a stimulating effect of CAP on human periodontal cells, keratinocytes and fibroblasts by upregulating certain genes and increasing cell migration and viability [14–17]. Additionally, CAP has been shown to enhance cell adhesion onto pre-treated surfaces [18–21]. However, apoptotic effects of CAP have also been described in the literature, which might represent promising approaches in cancer-therapy [22, 23]. CAP promotes the development of ROS and reactive nitrogen species which can induce apoptosis in some types of malignant cells via the intrinsic pathway as described above [24, 25]. Interestingly, CAP does not seem to affect healthy cells [26]. In our recent study we demonstrated, that CAP positively influences the wound healing in human osteoblast-like cells by stimulating proliferation and by increasing cell migration and viability [27]. However, the underlying molecular mechanisms of CAP on cell death in healthy cells are still unknown. Therefore, the aim of the present study was to analyze the effect of CAP on cell viability and death in this primary human osteoblast cell line, in order to study the effects of CAP-treatment on hard tissue. Conclusions: Short CAP application on osteoblast-like cells resulted in a reduced apoptosis and downregulated expression of apoptotic markers in an inflammatory and apoptotic environment. Additionally, CAP treatment led to changes in cell morphology. Therefore, our data suggest that CAP may serve patients with chronic hard-tissue wounds.
Background: Cold atmospheric plasma (CAP) has recently been identified as a novel therapeutic strategy for supporting processes of wound healing. Since CAP is additionally known to kill malignant cells, our study intends to determine the influence of CAP on crucial molecules involved in the molecular mechanism of apoptosis in osteoblast-like cells. Methods: Human osteoblast-like cells were CAP-treated for 30 and 60 s. CAP effects on critical factors related to apoptosis were studied at transcriptional and protein level using real time-PCR, immunofluorescence staining and western blot. Phalloidin / DAPI staining was used for analyzing the cell morphology. In addition, apoptotic outcomes of CAP were displayed using flow cytometry analysis. For studying intracellular signaling pathways, MAP kinase MEK 1/2 and PI3K were blocked. Finally, the effects of CAP on caspase-3 activity were examined using a caspase-3 assay. Results: CAP treatment resulted in a significant downregulation of p53 and apoptotic protease activating factor (APAF)-1, caspase (CASP)9, CASP3, BCL2 Antagonist/Killer (BAK)1, and B-Cell Lymphoma (BCL)2 mRNA expression at 1 d. An inhibitory effect of CAP on apoptotic genes was also shown under inflammatory and apoptotic conditions. Nuclear translocation of p53 was determined in CAP treated cells at the early and late stage, after 15 min, 30 min, and 1 h. p53 and APAF-1 protein levels were reduced at 1 d, visualized by immunofluorescence and western blot, respectively. Moreover, a morphological cytoskeleton modification was observed after CAP treatment at 1 d. Further, both CAP-treated and untreated (control) cells remained equally vital as detected by flow cytometry analysis. Interestingly, CAP-associated downregulation of CASP9 and CASP3 mRNA gene expression was also visible after blocking MAP kinase and PI3K. Finally, CAP led to a decrease in CASP3 activity in osteoblast-like cells under normal and apoptotic conditions. Conclusions: Our in vitro-study demonstrated, that CAP decreases apoptosis related molecules in osteoblast-like cells, underlining a beneficial effect on hard-tissue cells.
13,984
389
[ 635, 3396, 136, 189, 236, 229, 326, 192, 131, 85, 84, 64, 386, 214, 493, 256, 81, 396, 127 ]
22
[ "cap", "cells", "treatment", "60", "min", "cap treatment", "like", "apoptotic", "osteoblast", "p53" ]
[ "non healing inflammatory", "wound healing processes", "extracellular matrix wound", "tissue healing promising", "cells chronic wounds" ]
null
[CONTENT] Cold atmospheric plasma | Apoptosis | Inflammation | Bone remodelling | Osteoblast like cells [SUMMARY]
null
[CONTENT] Cold atmospheric plasma | Apoptosis | Inflammation | Bone remodelling | Osteoblast like cells [SUMMARY]
[CONTENT] Cold atmospheric plasma | Apoptosis | Inflammation | Bone remodelling | Osteoblast like cells [SUMMARY]
[CONTENT] Cold atmospheric plasma | Apoptosis | Inflammation | Bone remodelling | Osteoblast like cells [SUMMARY]
[CONTENT] Cold atmospheric plasma | Apoptosis | Inflammation | Bone remodelling | Osteoblast like cells [SUMMARY]
[CONTENT] Apoptosis | Humans | Osteoblasts | Plasma Gases | Signal Transduction | Wound Healing [SUMMARY]
null
[CONTENT] Apoptosis | Humans | Osteoblasts | Plasma Gases | Signal Transduction | Wound Healing [SUMMARY]
[CONTENT] Apoptosis | Humans | Osteoblasts | Plasma Gases | Signal Transduction | Wound Healing [SUMMARY]
[CONTENT] Apoptosis | Humans | Osteoblasts | Plasma Gases | Signal Transduction | Wound Healing [SUMMARY]
[CONTENT] Apoptosis | Humans | Osteoblasts | Plasma Gases | Signal Transduction | Wound Healing [SUMMARY]
[CONTENT] non healing inflammatory | wound healing processes | extracellular matrix wound | tissue healing promising | cells chronic wounds [SUMMARY]
null
[CONTENT] non healing inflammatory | wound healing processes | extracellular matrix wound | tissue healing promising | cells chronic wounds [SUMMARY]
[CONTENT] non healing inflammatory | wound healing processes | extracellular matrix wound | tissue healing promising | cells chronic wounds [SUMMARY]
[CONTENT] non healing inflammatory | wound healing processes | extracellular matrix wound | tissue healing promising | cells chronic wounds [SUMMARY]
[CONTENT] non healing inflammatory | wound healing processes | extracellular matrix wound | tissue healing promising | cells chronic wounds [SUMMARY]
[CONTENT] cap | cells | treatment | 60 | min | cap treatment | like | apoptotic | osteoblast | p53 [SUMMARY]
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[CONTENT] cap | cells | treatment | 60 | min | cap treatment | like | apoptotic | osteoblast | p53 [SUMMARY]
[CONTENT] cap | cells | treatment | 60 | min | cap treatment | like | apoptotic | osteoblast | p53 [SUMMARY]
[CONTENT] cap | cells | treatment | 60 | min | cap treatment | like | apoptotic | osteoblast | p53 [SUMMARY]
[CONTENT] cap | cells | treatment | 60 | min | cap treatment | like | apoptotic | osteoblast | p53 [SUMMARY]
[CONTENT] healing | cell | cap | wound | activation | intrinsic pathway | intrinsic | death | process | pathway [SUMMARY]
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[CONTENT] cap | treatment | cells | cap treatment | 60 | expression | 60 cap | 60 cap treatment | casp9 | p53 [SUMMARY]
[CONTENT] downregulated expression apoptotic markers | apoptotic environment additionally cap | data suggest cap | data suggest | cap treatment led changes | expression apoptotic markers inflammatory | like cells resulted reduced | like cells resulted | treatment led changes | apoptosis downregulated [SUMMARY]
[CONTENT] cap | cells | treatment | 60 | min | cap treatment | apoptotic | expression | like | p53 [SUMMARY]
[CONTENT] cap | cells | treatment | 60 | min | cap treatment | apoptotic | expression | like | p53 [SUMMARY]
[CONTENT] CAP ||| CAP | CAP [SUMMARY]
null
[CONTENT] CAP | CASP3 | Antagonist/Killer | BAK)1 | B-Cell Lymphoma | BCL)2 | 1 d. | CAP ||| CAP | 15 | 30 | 1 h. | 1 d ||| CAP | 1 d. Further ||| CAP | CASP9 | CASP3 | MAP | CASP3 [SUMMARY]
[CONTENT] CAP [SUMMARY]
[CONTENT] CAP ||| CAP | CAP ||| 30 and ||| ||| CAP ||| MAP | MEK 1/2 | PI3K ||| CAP ||| CASP3 | Antagonist/Killer | BAK)1 | B-Cell Lymphoma | BCL)2 | 1 d. | CAP ||| CAP | 15 | 30 | 1 h. | 1 d ||| CAP | 1 d. Further ||| CAP | CASP9 | CASP3 | MAP | CASP3 ||| CAP [SUMMARY]
[CONTENT] CAP ||| CAP | CAP ||| 30 and ||| ||| CAP ||| MAP | MEK 1/2 | PI3K ||| CAP ||| CASP3 | Antagonist/Killer | BAK)1 | B-Cell Lymphoma | BCL)2 | 1 d. | CAP ||| CAP | 15 | 30 | 1 h. | 1 d ||| CAP | 1 d. Further ||| CAP | CASP9 | CASP3 | MAP | CASP3 ||| CAP [SUMMARY]
Drug-resistant tuberculosis in a tertiary referral teaching hospital of Korea.
11769576
Resistance of Mycobacterium tuberculosis strains is an increasing problem worldwide. Our purpose was to determine the prevalence of drug resistance (DR) and risk factors of DR in patients with tuberculosis and to assess the clinical characteristics and socioeconomic status of patients with drug-resistant tuberculosis.
BACKGROUND
We retrospectively studied drug susceptibility tests and clinical and socioeconomic records for 308 cases of culture-positive Mycobacterium tuberculosis infection, diagnosed at Mokdong Hospital, Ewha Womans University from March, 1995 to February, 2000.
METHODS
DR to at least one drug was identified in 75 (24.4%); the rate of primary DR, 18.7% and acquired DR, 39.3%. Multi-drug resistance (MDR) was identified in 31 (10.1%); primary MDR, 7.0% and acquired MDR, 21.4%. The risk factors of DR were previous TB treatment, pulmonary involvement and associated medical illness. DR group showed lesser adherence to treatment than the drug-sensitive group. DR group showed more frequent self-interruption of medication, lower completion rate of treatment and higher failure rate of follow-up than the drug-sensitive group. In previously treated tuberculosis patients, higher rate of overall DR and MDR, larger number of resistant drugs and more frequent self-interruption of medication were observed than newly diagnosed patients. Among DR group, acquired DR (ADR) group was older, less educated and treated for longer duration and had more advanced disease than primary DR group.
RESULTS
Previously treated tuberculosis is a most important risk factor for DR. DR group, especially ADR, showed less compliance with treatment. More proper education and attention to prevent self-interruption should be given to a previously treated group. In TB prevalent areas, it should be considered to obtain initial drug susceptibility testing in high risk of DR.
CONCLUSION
[ "Adolescent", "Adult", "Age Distribution", "Antitubercular Agents", "Female", "Hospitals, Teaching", "Humans", "Incidence", "Korea", "Logistic Models", "Male", "Microbial Sensitivity Tests", "Middle Aged", "Mycobacterium tuberculosis", "Probability", "Referral and Consultation", "Retrospective Studies", "Risk Factors", "Sex Distribution", "Tuberculosis, Multidrug-Resistant" ]
4531726
INTRODUCTION
Tuberculosis (TB) is one of the major infectious diseases in severity and morbidity despite coverage of the National Tuberculosis Program and improved social and economic conditions1). Recently, epidemic of acquired immune deficiency syndromes, poor isolation of drug-resistant subjects and increased numbers of poor and crowded residences have caused increased proportion of drug resistance (DR), especially multi-drug resistance (MDR)2–7). In Korea, although the overall prevalence of tuberculosis diminished to less than 1.0%, the rate of drug resistance, especially MDR in previously treated groups was still high8, 9). It is important to define the risk factors, including the socioeconomic status of DR for the prompt isolation and proper management of drug-resistant tuberculosis. We examined current characteristics of DR in a university hospital setting and compared it to national studies.
Data analysis
The data were analyzed using SPSS software. The χ2 test and independent T test were applied to compare variables between the two groups. Multiple logistic regression analysis was used to define the strength of major risk factors to develop DR.
RESULTS
Rate of drug resistance Among 308 culture-positive patients, 187 had newly diagnosed TB and 84 had previously treated TB, except for 37 cases with no available record of previous TB history. Resistance to at least one drug was found in 75 (24.4%) out of 308 cases and MDR in 31 (10.1%). Among antituberculosis drugs, resistance to isoniazid was the most common (19.5%), followed by resistance to rifampin (12.3%), ethambutol (8.8%) and streptomycin (5.8%). Primary DR was found in 35 (18.7%) out of 187 cases and primary MDR in 13 (7.0%). Primary DR to isoniazid was 13.4%; rifampin, 9.1%; ethambutol, 7.0% and streptomycin, 4.8%. Acquired DR was found in 33 (39.3%) out of 84 cases and acquired MDR in 18 (21.4%). Acquired DR to isoniazid was 35.7%; rifampin, 22.6%; ethambutol, 15.5% and streptomycin, 8.3%. Each of acquired DR and acquired MDR was significantly higher than each of primary DR and primary MDR (39.3% vs. 18.7%; p<0.001, 21.4% vs. 7.0%; p<0.01) (Table 1). Among 308 culture-positive patients, 187 had newly diagnosed TB and 84 had previously treated TB, except for 37 cases with no available record of previous TB history. Resistance to at least one drug was found in 75 (24.4%) out of 308 cases and MDR in 31 (10.1%). Among antituberculosis drugs, resistance to isoniazid was the most common (19.5%), followed by resistance to rifampin (12.3%), ethambutol (8.8%) and streptomycin (5.8%). Primary DR was found in 35 (18.7%) out of 187 cases and primary MDR in 13 (7.0%). Primary DR to isoniazid was 13.4%; rifampin, 9.1%; ethambutol, 7.0% and streptomycin, 4.8%. Acquired DR was found in 33 (39.3%) out of 84 cases and acquired MDR in 18 (21.4%). Acquired DR to isoniazid was 35.7%; rifampin, 22.6%; ethambutol, 15.5% and streptomycin, 8.3%. Each of acquired DR and acquired MDR was significantly higher than each of primary DR and primary MDR (39.3% vs. 18.7%; p<0.001, 21.4% vs. 7.0%; p<0.01) (Table 1). Comparison between drug-sensitive group and drug-resistant group Drug-resistant group presented a history of previously treated TB (48.5% vs. 25.1%; p<0.001), pulmonary involvement of TB (92.6% vs. 80.1%; p<0.05) and associated medical illness more frequently than drug-sensitive group (29.4% vs. 19.5%; p<0.05). Drug-resistant group showed more frequent self-interruption of medication (38.8% vs. 13.4%; p<0.001), lower completion rate of treatment (39.7% vs. 58.4%; p<0.01) and higher failure rate of follow-up than drug-sensitive group (36.8% vs. 12.7%; p<0.001) (Table 2). Drug-resistant group presented a history of previously treated TB (48.5% vs. 25.1%; p<0.001), pulmonary involvement of TB (92.6% vs. 80.1%; p<0.05) and associated medical illness more frequently than drug-sensitive group (29.4% vs. 19.5%; p<0.05). Drug-resistant group showed more frequent self-interruption of medication (38.8% vs. 13.4%; p<0.001), lower completion rate of treatment (39.7% vs. 58.4%; p<0.01) and higher failure rate of follow-up than drug-sensitive group (36.8% vs. 12.7%; p<0.001) (Table 2). Risk factors of drug resistance Multiple logistic regression analysis was applied to factors associated with DR and MDR. Previous treatment of TB was the strongest risk factor of DR (odds ratio, 2.67; p<0.01) and MDR (odds ratio, 3.69; p<0.01). Pulmonary involvement of TB (odds ratio, 3.27; p<0.05) and associated medical illness (odds ratio, 2.30; p<0.05) were also risk factors of DR, but not of MDR (Table 3). Multiple logistic regression analysis was applied to factors associated with DR and MDR. Previous treatment of TB was the strongest risk factor of DR (odds ratio, 2.67; p<0.01) and MDR (odds ratio, 3.69; p<0.01). Pulmonary involvement of TB (odds ratio, 3.27; p<0.05) and associated medical illness (odds ratio, 2.30; p<0.05) were also risk factors of DR, but not of MDR (Table 3). Comparison between primary DR and acquired DR Acquired DR group was older (48.2 ± 16.5years vs. 39.6 ± 16.3years; p<0.05) and lesser educated than primary DR group (11.1% vs. 38.9%; p<0.05). Acquired DR group also had higher rate of family history of TB (28.0% vs. 16.7%) and more lived in rented houses than primary DR group (30.8% vs. 22.2%), but it is not statistically significant (Table 4). Acquired DR group showed more involved lobes in chest X-ray (2.0 ± 0.8 vs. 1.4 ± 0.7; p<0.01) and longer duration of treatment than PDR group (18.3 ± 7.2 months vs. 10.6 ± 6.3 months; p<0.05) (Table 5). Acquired DR group was older (48.2 ± 16.5years vs. 39.6 ± 16.3years; p<0.05) and lesser educated than primary DR group (11.1% vs. 38.9%; p<0.05). Acquired DR group also had higher rate of family history of TB (28.0% vs. 16.7%) and more lived in rented houses than primary DR group (30.8% vs. 22.2%), but it is not statistically significant (Table 4). Acquired DR group showed more involved lobes in chest X-ray (2.0 ± 0.8 vs. 1.4 ± 0.7; p<0.01) and longer duration of treatment than PDR group (18.3 ± 7.2 months vs. 10.6 ± 6.3 months; p<0.05) (Table 5).
null
null
[ "Study population", "Drug susceptibility test", "Definitions", "Rate of drug resistance", "Comparison between drug-sensitive group and drug-resistant group", "Risk factors of drug resistance", "Comparison between primary DR and acquired DR" ]
[ "From March 1995 through February 2000, 308 patients with culture-positive Mycobacterium tuberculosis infection and their drug susceptibility testing were included. The medical records of these patients were reviewed and the following data were collected: age, sex, history of previous antituberculous treatment, familial history of TB, associated medical illness of diabetes mellitus, liver disease and malignancy, history of smoking and alcohol drinking, marital status, and employment status. Whether they graduated more than high school and had resided in their own houses were inquired of patients with drug resistant tuberculosis using interviews by letters or telephones.", "The drug susceptibility testing against ten antituberculosis drugs was conducted by a laboratory certified under the Korean National Tuberculosis Association. The drug susceptibility of the M. tuberculosis isolates was determined by the absolute concentration method described in detail by Canetti et al10). The drugs and their critical concentrations for resistance are as follows: isoniazid 0.2 μg/mL; rifampin 40 μg/mL; ethambutol 2 μg/mL; streptomycin 10 μgg/mL; kanamycin 40 μg/mL; prothionamide 20 μg/mL; cycloserine 30 μg/mL; paraam-inosalicylic acid 1 μg/mL; ofloxacin 2 μg/mL. Pyrazinamide susceptibility was determined by pyrazinamidase test.", "The term ‘previously treated TB patients’ refers to patients with verified TB with treatment of more than one month in the past. The term ‘drug resistance’ means resistance to at least one antituberculosis drug, ‘poly-drug resistance’ means resistance to more than any two drugs and ‘multi-drug resistance’ means resistance to at least isoniazid and rifampin. The term ‘primary DR’ refers to resistance occurred in a patient who has never received antituberculosis therapy and ‘acquired DR’ refers to resistance developed during or following chemotherapy of subjects who had previously been regarded as drug-susceptible tuberculosis.", "Among 308 culture-positive patients, 187 had newly diagnosed TB and 84 had previously treated TB, except for 37 cases with no available record of previous TB history. Resistance to at least one drug was found in 75 (24.4%) out of 308 cases and MDR in 31 (10.1%). Among antituberculosis drugs, resistance to isoniazid was the most common (19.5%), followed by resistance to rifampin (12.3%), ethambutol (8.8%) and streptomycin (5.8%). Primary DR was found in 35 (18.7%) out of 187 cases and primary MDR in 13 (7.0%). Primary DR to isoniazid was 13.4%; rifampin, 9.1%; ethambutol, 7.0% and streptomycin, 4.8%. Acquired DR was found in 33 (39.3%) out of 84 cases and acquired MDR in 18 (21.4%). Acquired DR to isoniazid was 35.7%; rifampin, 22.6%; ethambutol, 15.5% and streptomycin, 8.3%. Each of acquired DR and acquired MDR was significantly higher than each of primary DR and primary MDR (39.3% vs. 18.7%; p<0.001, 21.4% vs. 7.0%; p<0.01) (Table 1).", "Drug-resistant group presented a history of previously treated TB (48.5% vs. 25.1%; p<0.001), pulmonary involvement of TB (92.6% vs. 80.1%; p<0.05) and associated medical illness more frequently than drug-sensitive group (29.4% vs. 19.5%; p<0.05). Drug-resistant group showed more frequent self-interruption of medication (38.8% vs. 13.4%; p<0.001), lower completion rate of treatment (39.7% vs. 58.4%; p<0.01) and higher failure rate of follow-up than drug-sensitive group (36.8% vs. 12.7%; p<0.001) (Table 2).", "Multiple logistic regression analysis was applied to factors associated with DR and MDR. Previous treatment of TB was the strongest risk factor of DR (odds ratio, 2.67; p<0.01) and MDR (odds ratio, 3.69; p<0.01). Pulmonary involvement of TB (odds ratio, 3.27; p<0.05) and associated medical illness (odds ratio, 2.30; p<0.05) were also risk factors of DR, but not of MDR (Table 3).", "Acquired DR group was older (48.2 ± 16.5years vs. 39.6 ± 16.3years; p<0.05) and lesser educated than primary DR group (11.1% vs. 38.9%; p<0.05). Acquired DR group also had higher rate of family history of TB (28.0% vs. 16.7%) and more lived in rented houses than primary DR group (30.8% vs. 22.2%), but it is not statistically significant (Table 4). Acquired DR group showed more involved lobes in chest X-ray (2.0 ± 0.8 vs. 1.4 ± 0.7; p<0.01) and longer duration of treatment than PDR group (18.3 ± 7.2 months vs. 10.6 ± 6.3 months; p<0.05) (Table 5)." ]
[ "methods", null, null, null, null, null, null ]
[ "INTRODUCTION", "MATERIALS AND METHODS", "Study population", "Drug susceptibility test", "Definitions", "Data analysis", "RESULTS", "Rate of drug resistance", "Comparison between drug-sensitive group and drug-resistant group", "Risk factors of drug resistance", "Comparison between primary DR and acquired DR", "DISCUSSION" ]
[ "Tuberculosis (TB) is one of the major infectious diseases in severity and morbidity despite coverage of the National Tuberculosis Program and improved social and economic conditions1). Recently, epidemic of acquired immune deficiency syndromes, poor isolation of drug-resistant subjects and increased numbers of poor and crowded residences have caused increased proportion of drug resistance (DR), especially multi-drug resistance (MDR)2–7). In Korea, although the overall prevalence of tuberculosis diminished to less than 1.0%, the rate of drug resistance, especially MDR in previously treated groups was still high8, 9). It is important to define the risk factors, including the socioeconomic status of DR for the prompt isolation and proper management of drug-resistant tuberculosis. We examined current characteristics of DR in a university hospital setting and compared it to national studies.", " Study population From March 1995 through February 2000, 308 patients with culture-positive Mycobacterium tuberculosis infection and their drug susceptibility testing were included. The medical records of these patients were reviewed and the following data were collected: age, sex, history of previous antituberculous treatment, familial history of TB, associated medical illness of diabetes mellitus, liver disease and malignancy, history of smoking and alcohol drinking, marital status, and employment status. Whether they graduated more than high school and had resided in their own houses were inquired of patients with drug resistant tuberculosis using interviews by letters or telephones.\nFrom March 1995 through February 2000, 308 patients with culture-positive Mycobacterium tuberculosis infection and their drug susceptibility testing were included. The medical records of these patients were reviewed and the following data were collected: age, sex, history of previous antituberculous treatment, familial history of TB, associated medical illness of diabetes mellitus, liver disease and malignancy, history of smoking and alcohol drinking, marital status, and employment status. Whether they graduated more than high school and had resided in their own houses were inquired of patients with drug resistant tuberculosis using interviews by letters or telephones.\n Drug susceptibility test The drug susceptibility testing against ten antituberculosis drugs was conducted by a laboratory certified under the Korean National Tuberculosis Association. The drug susceptibility of the M. tuberculosis isolates was determined by the absolute concentration method described in detail by Canetti et al10). The drugs and their critical concentrations for resistance are as follows: isoniazid 0.2 μg/mL; rifampin 40 μg/mL; ethambutol 2 μg/mL; streptomycin 10 μgg/mL; kanamycin 40 μg/mL; prothionamide 20 μg/mL; cycloserine 30 μg/mL; paraam-inosalicylic acid 1 μg/mL; ofloxacin 2 μg/mL. Pyrazinamide susceptibility was determined by pyrazinamidase test.\nThe drug susceptibility testing against ten antituberculosis drugs was conducted by a laboratory certified under the Korean National Tuberculosis Association. The drug susceptibility of the M. tuberculosis isolates was determined by the absolute concentration method described in detail by Canetti et al10). The drugs and their critical concentrations for resistance are as follows: isoniazid 0.2 μg/mL; rifampin 40 μg/mL; ethambutol 2 μg/mL; streptomycin 10 μgg/mL; kanamycin 40 μg/mL; prothionamide 20 μg/mL; cycloserine 30 μg/mL; paraam-inosalicylic acid 1 μg/mL; ofloxacin 2 μg/mL. Pyrazinamide susceptibility was determined by pyrazinamidase test.\n Definitions The term ‘previously treated TB patients’ refers to patients with verified TB with treatment of more than one month in the past. The term ‘drug resistance’ means resistance to at least one antituberculosis drug, ‘poly-drug resistance’ means resistance to more than any two drugs and ‘multi-drug resistance’ means resistance to at least isoniazid and rifampin. The term ‘primary DR’ refers to resistance occurred in a patient who has never received antituberculosis therapy and ‘acquired DR’ refers to resistance developed during or following chemotherapy of subjects who had previously been regarded as drug-susceptible tuberculosis.\nThe term ‘previously treated TB patients’ refers to patients with verified TB with treatment of more than one month in the past. The term ‘drug resistance’ means resistance to at least one antituberculosis drug, ‘poly-drug resistance’ means resistance to more than any two drugs and ‘multi-drug resistance’ means resistance to at least isoniazid and rifampin. The term ‘primary DR’ refers to resistance occurred in a patient who has never received antituberculosis therapy and ‘acquired DR’ refers to resistance developed during or following chemotherapy of subjects who had previously been regarded as drug-susceptible tuberculosis.\n Data analysis The data were analyzed using SPSS software. The χ2 test and independent T test were applied to compare variables between the two groups. Multiple logistic regression analysis was used to define the strength of major risk factors to develop DR.\nThe data were analyzed using SPSS software. The χ2 test and independent T test were applied to compare variables between the two groups. Multiple logistic regression analysis was used to define the strength of major risk factors to develop DR.", "From March 1995 through February 2000, 308 patients with culture-positive Mycobacterium tuberculosis infection and their drug susceptibility testing were included. The medical records of these patients were reviewed and the following data were collected: age, sex, history of previous antituberculous treatment, familial history of TB, associated medical illness of diabetes mellitus, liver disease and malignancy, history of smoking and alcohol drinking, marital status, and employment status. Whether they graduated more than high school and had resided in their own houses were inquired of patients with drug resistant tuberculosis using interviews by letters or telephones.", "The drug susceptibility testing against ten antituberculosis drugs was conducted by a laboratory certified under the Korean National Tuberculosis Association. The drug susceptibility of the M. tuberculosis isolates was determined by the absolute concentration method described in detail by Canetti et al10). The drugs and their critical concentrations for resistance are as follows: isoniazid 0.2 μg/mL; rifampin 40 μg/mL; ethambutol 2 μg/mL; streptomycin 10 μgg/mL; kanamycin 40 μg/mL; prothionamide 20 μg/mL; cycloserine 30 μg/mL; paraam-inosalicylic acid 1 μg/mL; ofloxacin 2 μg/mL. Pyrazinamide susceptibility was determined by pyrazinamidase test.", "The term ‘previously treated TB patients’ refers to patients with verified TB with treatment of more than one month in the past. The term ‘drug resistance’ means resistance to at least one antituberculosis drug, ‘poly-drug resistance’ means resistance to more than any two drugs and ‘multi-drug resistance’ means resistance to at least isoniazid and rifampin. The term ‘primary DR’ refers to resistance occurred in a patient who has never received antituberculosis therapy and ‘acquired DR’ refers to resistance developed during or following chemotherapy of subjects who had previously been regarded as drug-susceptible tuberculosis.", "The data were analyzed using SPSS software. The χ2 test and independent T test were applied to compare variables between the two groups. Multiple logistic regression analysis was used to define the strength of major risk factors to develop DR.", " Rate of drug resistance Among 308 culture-positive patients, 187 had newly diagnosed TB and 84 had previously treated TB, except for 37 cases with no available record of previous TB history. Resistance to at least one drug was found in 75 (24.4%) out of 308 cases and MDR in 31 (10.1%). Among antituberculosis drugs, resistance to isoniazid was the most common (19.5%), followed by resistance to rifampin (12.3%), ethambutol (8.8%) and streptomycin (5.8%). Primary DR was found in 35 (18.7%) out of 187 cases and primary MDR in 13 (7.0%). Primary DR to isoniazid was 13.4%; rifampin, 9.1%; ethambutol, 7.0% and streptomycin, 4.8%. Acquired DR was found in 33 (39.3%) out of 84 cases and acquired MDR in 18 (21.4%). Acquired DR to isoniazid was 35.7%; rifampin, 22.6%; ethambutol, 15.5% and streptomycin, 8.3%. Each of acquired DR and acquired MDR was significantly higher than each of primary DR and primary MDR (39.3% vs. 18.7%; p<0.001, 21.4% vs. 7.0%; p<0.01) (Table 1).\nAmong 308 culture-positive patients, 187 had newly diagnosed TB and 84 had previously treated TB, except for 37 cases with no available record of previous TB history. Resistance to at least one drug was found in 75 (24.4%) out of 308 cases and MDR in 31 (10.1%). Among antituberculosis drugs, resistance to isoniazid was the most common (19.5%), followed by resistance to rifampin (12.3%), ethambutol (8.8%) and streptomycin (5.8%). Primary DR was found in 35 (18.7%) out of 187 cases and primary MDR in 13 (7.0%). Primary DR to isoniazid was 13.4%; rifampin, 9.1%; ethambutol, 7.0% and streptomycin, 4.8%. Acquired DR was found in 33 (39.3%) out of 84 cases and acquired MDR in 18 (21.4%). Acquired DR to isoniazid was 35.7%; rifampin, 22.6%; ethambutol, 15.5% and streptomycin, 8.3%. Each of acquired DR and acquired MDR was significantly higher than each of primary DR and primary MDR (39.3% vs. 18.7%; p<0.001, 21.4% vs. 7.0%; p<0.01) (Table 1).\n Comparison between drug-sensitive group and drug-resistant group Drug-resistant group presented a history of previously treated TB (48.5% vs. 25.1%; p<0.001), pulmonary involvement of TB (92.6% vs. 80.1%; p<0.05) and associated medical illness more frequently than drug-sensitive group (29.4% vs. 19.5%; p<0.05). Drug-resistant group showed more frequent self-interruption of medication (38.8% vs. 13.4%; p<0.001), lower completion rate of treatment (39.7% vs. 58.4%; p<0.01) and higher failure rate of follow-up than drug-sensitive group (36.8% vs. 12.7%; p<0.001) (Table 2).\nDrug-resistant group presented a history of previously treated TB (48.5% vs. 25.1%; p<0.001), pulmonary involvement of TB (92.6% vs. 80.1%; p<0.05) and associated medical illness more frequently than drug-sensitive group (29.4% vs. 19.5%; p<0.05). Drug-resistant group showed more frequent self-interruption of medication (38.8% vs. 13.4%; p<0.001), lower completion rate of treatment (39.7% vs. 58.4%; p<0.01) and higher failure rate of follow-up than drug-sensitive group (36.8% vs. 12.7%; p<0.001) (Table 2).\n Risk factors of drug resistance Multiple logistic regression analysis was applied to factors associated with DR and MDR. Previous treatment of TB was the strongest risk factor of DR (odds ratio, 2.67; p<0.01) and MDR (odds ratio, 3.69; p<0.01). Pulmonary involvement of TB (odds ratio, 3.27; p<0.05) and associated medical illness (odds ratio, 2.30; p<0.05) were also risk factors of DR, but not of MDR (Table 3).\nMultiple logistic regression analysis was applied to factors associated with DR and MDR. Previous treatment of TB was the strongest risk factor of DR (odds ratio, 2.67; p<0.01) and MDR (odds ratio, 3.69; p<0.01). Pulmonary involvement of TB (odds ratio, 3.27; p<0.05) and associated medical illness (odds ratio, 2.30; p<0.05) were also risk factors of DR, but not of MDR (Table 3).\n Comparison between primary DR and acquired DR Acquired DR group was older (48.2 ± 16.5years vs. 39.6 ± 16.3years; p<0.05) and lesser educated than primary DR group (11.1% vs. 38.9%; p<0.05). Acquired DR group also had higher rate of family history of TB (28.0% vs. 16.7%) and more lived in rented houses than primary DR group (30.8% vs. 22.2%), but it is not statistically significant (Table 4). Acquired DR group showed more involved lobes in chest X-ray (2.0 ± 0.8 vs. 1.4 ± 0.7; p<0.01) and longer duration of treatment than PDR group (18.3 ± 7.2 months vs. 10.6 ± 6.3 months; p<0.05) (Table 5).\nAcquired DR group was older (48.2 ± 16.5years vs. 39.6 ± 16.3years; p<0.05) and lesser educated than primary DR group (11.1% vs. 38.9%; p<0.05). Acquired DR group also had higher rate of family history of TB (28.0% vs. 16.7%) and more lived in rented houses than primary DR group (30.8% vs. 22.2%), but it is not statistically significant (Table 4). Acquired DR group showed more involved lobes in chest X-ray (2.0 ± 0.8 vs. 1.4 ± 0.7; p<0.01) and longer duration of treatment than PDR group (18.3 ± 7.2 months vs. 10.6 ± 6.3 months; p<0.05) (Table 5).", "Among 308 culture-positive patients, 187 had newly diagnosed TB and 84 had previously treated TB, except for 37 cases with no available record of previous TB history. Resistance to at least one drug was found in 75 (24.4%) out of 308 cases and MDR in 31 (10.1%). Among antituberculosis drugs, resistance to isoniazid was the most common (19.5%), followed by resistance to rifampin (12.3%), ethambutol (8.8%) and streptomycin (5.8%). Primary DR was found in 35 (18.7%) out of 187 cases and primary MDR in 13 (7.0%). Primary DR to isoniazid was 13.4%; rifampin, 9.1%; ethambutol, 7.0% and streptomycin, 4.8%. Acquired DR was found in 33 (39.3%) out of 84 cases and acquired MDR in 18 (21.4%). Acquired DR to isoniazid was 35.7%; rifampin, 22.6%; ethambutol, 15.5% and streptomycin, 8.3%. Each of acquired DR and acquired MDR was significantly higher than each of primary DR and primary MDR (39.3% vs. 18.7%; p<0.001, 21.4% vs. 7.0%; p<0.01) (Table 1).", "Drug-resistant group presented a history of previously treated TB (48.5% vs. 25.1%; p<0.001), pulmonary involvement of TB (92.6% vs. 80.1%; p<0.05) and associated medical illness more frequently than drug-sensitive group (29.4% vs. 19.5%; p<0.05). Drug-resistant group showed more frequent self-interruption of medication (38.8% vs. 13.4%; p<0.001), lower completion rate of treatment (39.7% vs. 58.4%; p<0.01) and higher failure rate of follow-up than drug-sensitive group (36.8% vs. 12.7%; p<0.001) (Table 2).", "Multiple logistic regression analysis was applied to factors associated with DR and MDR. Previous treatment of TB was the strongest risk factor of DR (odds ratio, 2.67; p<0.01) and MDR (odds ratio, 3.69; p<0.01). Pulmonary involvement of TB (odds ratio, 3.27; p<0.05) and associated medical illness (odds ratio, 2.30; p<0.05) were also risk factors of DR, but not of MDR (Table 3).", "Acquired DR group was older (48.2 ± 16.5years vs. 39.6 ± 16.3years; p<0.05) and lesser educated than primary DR group (11.1% vs. 38.9%; p<0.05). Acquired DR group also had higher rate of family history of TB (28.0% vs. 16.7%) and more lived in rented houses than primary DR group (30.8% vs. 22.2%), but it is not statistically significant (Table 4). Acquired DR group showed more involved lobes in chest X-ray (2.0 ± 0.8 vs. 1.4 ± 0.7; p<0.01) and longer duration of treatment than PDR group (18.3 ± 7.2 months vs. 10.6 ± 6.3 months; p<0.05) (Table 5).", "This study presented findings related to drug resistance in a TB endemic country not associated with HIV epidemic. The drug resistance in TB is one of the most important problems in the world and a major cause of morbidity and mortality2). TB was one of the most common 10 causes of Korean adults’ deaths until 19968). DR and severity of infection are important factors determining the mortality in TB patients. The national goal of TB control is closely related to control of DR. According to a national TB survey of Korea, the rate of DR was the highest in 1980 and then it tended to decline8, 9).\nThe rate of isoniazid-resistant TB was the highest among the antituberculous drugs throughout the world and the rate of rifampin-resistant TB was high in an endemic area5,11–14). This study showed that nearly 20 percent of the patients with active TB could transmit isoniazid-resistant organisms. The use of rifampin with or without pyrazinamide in chemoprophylaxis for the case contact in a prevalent area of isoniazid-resistant TB is issued15). The increasing resistance to rifampin is particularly troubling, since rifampin is essential to short-course antituberculosis therapy16). In this study, 10 percent of the total cases could transmit organisms resistant to both isoniazid and rifampin. Consensus on preventive therapy for MDR TB was not reached and the current recommendation was a regimen of pyrazinamide and fluoroquinolone for 4 months17).\nBecause previous use of antituberculous medication was the most important risk factor of DR4,6,13,14,18,19) as shown in this study, and accompanied medical illness due to decreased immunity was high risk group of DR3, 20, 21), DR should be suspected in cases of delayed response to therapy or continued positive AFB smear despite treatment. The ability to complete antituberculosis therapy can be affected by housing status, employment status, level of literacy and psychological aspects22–25). In this study, alcohol abuse, marital status or employment status did not influence the development of DR. Because patients with DR are usually treated with 2nd line antituberculosis drugs for a long duration, which are more toxic and costlier than first line drugs, they are apt to have poor adherence to medication compared with drug-sensitive patients. The other factors to develop DR are drug intolerance during therapy25), contact with DR TB26), birth and residence in an endemic area5,6,13,14,19), HIV infection6, 13) and cavitary pulmonary tuberculosis18, 19).\nThe first large scale sample survey in Korea in 1994, cooperation with WHO and IUATLD9, 11), presented lower rates in overall DR and primary DR and higher rate in acquired DR compared with this study (Table 6). The discrepancies between this study and the nationwide study could originate from differences in the size and nature of the study population, study period and study area. The population of previous treated TB cases out of all cases in this study was higher than that in the national study (84 of 308 cases, 27.3% vs. 189 of 2675 cases, 7.1%). This could contribute to raise the overall rate of DR in this study. Although the rate of acquired DR was lower in this study than the national survey of 1994, the rate of MDR is about 3 times that of the national survey of 1994. The population of this study was derived mainly from residents in Seoul. Residents in other areas were only 52 (13.6%) out of 308 patients. Therefore, this study could represent drug resistance in Seoul as an urban area. Generally, an urban community is more crowded and has more chance to transmit an infectious disease than a rural community. As another reason to be considered, more advanced cases among newly diagnosed subjects might prefer to be treated in 3rd referral hospitals rather than in a public TB care center as in rural areas. Actually, in this study, patients with primary DR showed a higher rate of hospitalization despite a younger age than those with acquired DR, and the rate of primary MDR in this study was far higher than that in the national survey of 1994. Our data had comparable results with the report from Chungnam University of Korea27).\nIn this study, patients with acquired DR showed chronic reluctant course, low education level and low economic status compared with those with primary DR. Traditionally, patients with DR TB are classified as having acquired DR or primary DR on the basis of a history of previous TB treatment28, 29). Only cases of primary DR are assumed to be due to transmission of DR strains. Recent studies based on restriction-fragment length polymorphisms, useful in distinguishing different strains of M. tuberculosis, revealed that recent transmission as well as true acquisition of DR during therapy was an important cause of DR, especially MDR, even in previously treated cases in certain urban populations30, 31). Therefore, traditional clinical classification based on a history of previous treatment may result in misinterpretation and the underestimation of transmission. Improper isolation and poor ventilation due to crowding are important reasons for spread of TB particularly in the low socioeconomic status of urban areas. The resistant cases, especially previously treated, remain sources of infection for prolonged periods and they are likely to infect others31–35). Finally, the high rate of DR and MDR in acquired cases contribute to increasing rates of DR and MDR in primary cases.\nWhen dealing with a patient who has resistant TB, it is very important that the physician evaluate the situation fully. When seeing a patient who has already been treated for TB, susceptibility tests should be ordered. The only way to ensure that patients take their medication properly is to give it to them, i.e. direct observed therapy (DOT)34). Although routine DOT can not be afforded in many countries with a high prevalence of MDR TB, application of DOT is requisite in drug resistant TB, especially for poor adherence to treatment, to prevent the development of further drug resistance36).\nPreviously treated tuberculosis is a most important risk factor for DR. DR group, especially ADR, showed less compliance with treatment. More proper education and attention to prevent self-interruption should be given to a previously treated group. This study showed a higher rate of primary DR and primary MDR compared to the national study, suggesting more severe cases among newly diagnosed patients treated in tertiary referral hospitals rather than public TB care centers. High rate of acquired DR contributes to increasing the rate of primary DR. Initial drug susceptibility testing is necessary to guide optimal treatment to a culture positive case with the high risk of DR, especially in TB prevalent areas." ]
[ "intro", "materials|methods", "methods", null, null, "methods", "results", null, null, null, null, "discussion" ]
[ "tuberculosis", "drug resistance", "Korea" ]
INTRODUCTION: Tuberculosis (TB) is one of the major infectious diseases in severity and morbidity despite coverage of the National Tuberculosis Program and improved social and economic conditions1). Recently, epidemic of acquired immune deficiency syndromes, poor isolation of drug-resistant subjects and increased numbers of poor and crowded residences have caused increased proportion of drug resistance (DR), especially multi-drug resistance (MDR)2–7). In Korea, although the overall prevalence of tuberculosis diminished to less than 1.0%, the rate of drug resistance, especially MDR in previously treated groups was still high8, 9). It is important to define the risk factors, including the socioeconomic status of DR for the prompt isolation and proper management of drug-resistant tuberculosis. We examined current characteristics of DR in a university hospital setting and compared it to national studies. MATERIALS AND METHODS: Study population From March 1995 through February 2000, 308 patients with culture-positive Mycobacterium tuberculosis infection and their drug susceptibility testing were included. The medical records of these patients were reviewed and the following data were collected: age, sex, history of previous antituberculous treatment, familial history of TB, associated medical illness of diabetes mellitus, liver disease and malignancy, history of smoking and alcohol drinking, marital status, and employment status. Whether they graduated more than high school and had resided in their own houses were inquired of patients with drug resistant tuberculosis using interviews by letters or telephones. From March 1995 through February 2000, 308 patients with culture-positive Mycobacterium tuberculosis infection and their drug susceptibility testing were included. The medical records of these patients were reviewed and the following data were collected: age, sex, history of previous antituberculous treatment, familial history of TB, associated medical illness of diabetes mellitus, liver disease and malignancy, history of smoking and alcohol drinking, marital status, and employment status. Whether they graduated more than high school and had resided in their own houses were inquired of patients with drug resistant tuberculosis using interviews by letters or telephones. Drug susceptibility test The drug susceptibility testing against ten antituberculosis drugs was conducted by a laboratory certified under the Korean National Tuberculosis Association. The drug susceptibility of the M. tuberculosis isolates was determined by the absolute concentration method described in detail by Canetti et al10). The drugs and their critical concentrations for resistance are as follows: isoniazid 0.2 μg/mL; rifampin 40 μg/mL; ethambutol 2 μg/mL; streptomycin 10 μgg/mL; kanamycin 40 μg/mL; prothionamide 20 μg/mL; cycloserine 30 μg/mL; paraam-inosalicylic acid 1 μg/mL; ofloxacin 2 μg/mL. Pyrazinamide susceptibility was determined by pyrazinamidase test. The drug susceptibility testing against ten antituberculosis drugs was conducted by a laboratory certified under the Korean National Tuberculosis Association. The drug susceptibility of the M. tuberculosis isolates was determined by the absolute concentration method described in detail by Canetti et al10). The drugs and their critical concentrations for resistance are as follows: isoniazid 0.2 μg/mL; rifampin 40 μg/mL; ethambutol 2 μg/mL; streptomycin 10 μgg/mL; kanamycin 40 μg/mL; prothionamide 20 μg/mL; cycloserine 30 μg/mL; paraam-inosalicylic acid 1 μg/mL; ofloxacin 2 μg/mL. Pyrazinamide susceptibility was determined by pyrazinamidase test. Definitions The term ‘previously treated TB patients’ refers to patients with verified TB with treatment of more than one month in the past. The term ‘drug resistance’ means resistance to at least one antituberculosis drug, ‘poly-drug resistance’ means resistance to more than any two drugs and ‘multi-drug resistance’ means resistance to at least isoniazid and rifampin. The term ‘primary DR’ refers to resistance occurred in a patient who has never received antituberculosis therapy and ‘acquired DR’ refers to resistance developed during or following chemotherapy of subjects who had previously been regarded as drug-susceptible tuberculosis. The term ‘previously treated TB patients’ refers to patients with verified TB with treatment of more than one month in the past. The term ‘drug resistance’ means resistance to at least one antituberculosis drug, ‘poly-drug resistance’ means resistance to more than any two drugs and ‘multi-drug resistance’ means resistance to at least isoniazid and rifampin. The term ‘primary DR’ refers to resistance occurred in a patient who has never received antituberculosis therapy and ‘acquired DR’ refers to resistance developed during or following chemotherapy of subjects who had previously been regarded as drug-susceptible tuberculosis. Data analysis The data were analyzed using SPSS software. The χ2 test and independent T test were applied to compare variables between the two groups. Multiple logistic regression analysis was used to define the strength of major risk factors to develop DR. The data were analyzed using SPSS software. The χ2 test and independent T test were applied to compare variables between the two groups. Multiple logistic regression analysis was used to define the strength of major risk factors to develop DR. Study population: From March 1995 through February 2000, 308 patients with culture-positive Mycobacterium tuberculosis infection and their drug susceptibility testing were included. The medical records of these patients were reviewed and the following data were collected: age, sex, history of previous antituberculous treatment, familial history of TB, associated medical illness of diabetes mellitus, liver disease and malignancy, history of smoking and alcohol drinking, marital status, and employment status. Whether they graduated more than high school and had resided in their own houses were inquired of patients with drug resistant tuberculosis using interviews by letters or telephones. Drug susceptibility test: The drug susceptibility testing against ten antituberculosis drugs was conducted by a laboratory certified under the Korean National Tuberculosis Association. The drug susceptibility of the M. tuberculosis isolates was determined by the absolute concentration method described in detail by Canetti et al10). The drugs and their critical concentrations for resistance are as follows: isoniazid 0.2 μg/mL; rifampin 40 μg/mL; ethambutol 2 μg/mL; streptomycin 10 μgg/mL; kanamycin 40 μg/mL; prothionamide 20 μg/mL; cycloserine 30 μg/mL; paraam-inosalicylic acid 1 μg/mL; ofloxacin 2 μg/mL. Pyrazinamide susceptibility was determined by pyrazinamidase test. Definitions: The term ‘previously treated TB patients’ refers to patients with verified TB with treatment of more than one month in the past. The term ‘drug resistance’ means resistance to at least one antituberculosis drug, ‘poly-drug resistance’ means resistance to more than any two drugs and ‘multi-drug resistance’ means resistance to at least isoniazid and rifampin. The term ‘primary DR’ refers to resistance occurred in a patient who has never received antituberculosis therapy and ‘acquired DR’ refers to resistance developed during or following chemotherapy of subjects who had previously been regarded as drug-susceptible tuberculosis. Data analysis: The data were analyzed using SPSS software. The χ2 test and independent T test were applied to compare variables between the two groups. Multiple logistic regression analysis was used to define the strength of major risk factors to develop DR. RESULTS: Rate of drug resistance Among 308 culture-positive patients, 187 had newly diagnosed TB and 84 had previously treated TB, except for 37 cases with no available record of previous TB history. Resistance to at least one drug was found in 75 (24.4%) out of 308 cases and MDR in 31 (10.1%). Among antituberculosis drugs, resistance to isoniazid was the most common (19.5%), followed by resistance to rifampin (12.3%), ethambutol (8.8%) and streptomycin (5.8%). Primary DR was found in 35 (18.7%) out of 187 cases and primary MDR in 13 (7.0%). Primary DR to isoniazid was 13.4%; rifampin, 9.1%; ethambutol, 7.0% and streptomycin, 4.8%. Acquired DR was found in 33 (39.3%) out of 84 cases and acquired MDR in 18 (21.4%). Acquired DR to isoniazid was 35.7%; rifampin, 22.6%; ethambutol, 15.5% and streptomycin, 8.3%. Each of acquired DR and acquired MDR was significantly higher than each of primary DR and primary MDR (39.3% vs. 18.7%; p<0.001, 21.4% vs. 7.0%; p<0.01) (Table 1). Among 308 culture-positive patients, 187 had newly diagnosed TB and 84 had previously treated TB, except for 37 cases with no available record of previous TB history. Resistance to at least one drug was found in 75 (24.4%) out of 308 cases and MDR in 31 (10.1%). Among antituberculosis drugs, resistance to isoniazid was the most common (19.5%), followed by resistance to rifampin (12.3%), ethambutol (8.8%) and streptomycin (5.8%). Primary DR was found in 35 (18.7%) out of 187 cases and primary MDR in 13 (7.0%). Primary DR to isoniazid was 13.4%; rifampin, 9.1%; ethambutol, 7.0% and streptomycin, 4.8%. Acquired DR was found in 33 (39.3%) out of 84 cases and acquired MDR in 18 (21.4%). Acquired DR to isoniazid was 35.7%; rifampin, 22.6%; ethambutol, 15.5% and streptomycin, 8.3%. Each of acquired DR and acquired MDR was significantly higher than each of primary DR and primary MDR (39.3% vs. 18.7%; p<0.001, 21.4% vs. 7.0%; p<0.01) (Table 1). Comparison between drug-sensitive group and drug-resistant group Drug-resistant group presented a history of previously treated TB (48.5% vs. 25.1%; p<0.001), pulmonary involvement of TB (92.6% vs. 80.1%; p<0.05) and associated medical illness more frequently than drug-sensitive group (29.4% vs. 19.5%; p<0.05). Drug-resistant group showed more frequent self-interruption of medication (38.8% vs. 13.4%; p<0.001), lower completion rate of treatment (39.7% vs. 58.4%; p<0.01) and higher failure rate of follow-up than drug-sensitive group (36.8% vs. 12.7%; p<0.001) (Table 2). Drug-resistant group presented a history of previously treated TB (48.5% vs. 25.1%; p<0.001), pulmonary involvement of TB (92.6% vs. 80.1%; p<0.05) and associated medical illness more frequently than drug-sensitive group (29.4% vs. 19.5%; p<0.05). Drug-resistant group showed more frequent self-interruption of medication (38.8% vs. 13.4%; p<0.001), lower completion rate of treatment (39.7% vs. 58.4%; p<0.01) and higher failure rate of follow-up than drug-sensitive group (36.8% vs. 12.7%; p<0.001) (Table 2). Risk factors of drug resistance Multiple logistic regression analysis was applied to factors associated with DR and MDR. Previous treatment of TB was the strongest risk factor of DR (odds ratio, 2.67; p<0.01) and MDR (odds ratio, 3.69; p<0.01). Pulmonary involvement of TB (odds ratio, 3.27; p<0.05) and associated medical illness (odds ratio, 2.30; p<0.05) were also risk factors of DR, but not of MDR (Table 3). Multiple logistic regression analysis was applied to factors associated with DR and MDR. Previous treatment of TB was the strongest risk factor of DR (odds ratio, 2.67; p<0.01) and MDR (odds ratio, 3.69; p<0.01). Pulmonary involvement of TB (odds ratio, 3.27; p<0.05) and associated medical illness (odds ratio, 2.30; p<0.05) were also risk factors of DR, but not of MDR (Table 3). Comparison between primary DR and acquired DR Acquired DR group was older (48.2 ± 16.5years vs. 39.6 ± 16.3years; p<0.05) and lesser educated than primary DR group (11.1% vs. 38.9%; p<0.05). Acquired DR group also had higher rate of family history of TB (28.0% vs. 16.7%) and more lived in rented houses than primary DR group (30.8% vs. 22.2%), but it is not statistically significant (Table 4). Acquired DR group showed more involved lobes in chest X-ray (2.0 ± 0.8 vs. 1.4 ± 0.7; p<0.01) and longer duration of treatment than PDR group (18.3 ± 7.2 months vs. 10.6 ± 6.3 months; p<0.05) (Table 5). Acquired DR group was older (48.2 ± 16.5years vs. 39.6 ± 16.3years; p<0.05) and lesser educated than primary DR group (11.1% vs. 38.9%; p<0.05). Acquired DR group also had higher rate of family history of TB (28.0% vs. 16.7%) and more lived in rented houses than primary DR group (30.8% vs. 22.2%), but it is not statistically significant (Table 4). Acquired DR group showed more involved lobes in chest X-ray (2.0 ± 0.8 vs. 1.4 ± 0.7; p<0.01) and longer duration of treatment than PDR group (18.3 ± 7.2 months vs. 10.6 ± 6.3 months; p<0.05) (Table 5). Rate of drug resistance: Among 308 culture-positive patients, 187 had newly diagnosed TB and 84 had previously treated TB, except for 37 cases with no available record of previous TB history. Resistance to at least one drug was found in 75 (24.4%) out of 308 cases and MDR in 31 (10.1%). Among antituberculosis drugs, resistance to isoniazid was the most common (19.5%), followed by resistance to rifampin (12.3%), ethambutol (8.8%) and streptomycin (5.8%). Primary DR was found in 35 (18.7%) out of 187 cases and primary MDR in 13 (7.0%). Primary DR to isoniazid was 13.4%; rifampin, 9.1%; ethambutol, 7.0% and streptomycin, 4.8%. Acquired DR was found in 33 (39.3%) out of 84 cases and acquired MDR in 18 (21.4%). Acquired DR to isoniazid was 35.7%; rifampin, 22.6%; ethambutol, 15.5% and streptomycin, 8.3%. Each of acquired DR and acquired MDR was significantly higher than each of primary DR and primary MDR (39.3% vs. 18.7%; p<0.001, 21.4% vs. 7.0%; p<0.01) (Table 1). Comparison between drug-sensitive group and drug-resistant group: Drug-resistant group presented a history of previously treated TB (48.5% vs. 25.1%; p<0.001), pulmonary involvement of TB (92.6% vs. 80.1%; p<0.05) and associated medical illness more frequently than drug-sensitive group (29.4% vs. 19.5%; p<0.05). Drug-resistant group showed more frequent self-interruption of medication (38.8% vs. 13.4%; p<0.001), lower completion rate of treatment (39.7% vs. 58.4%; p<0.01) and higher failure rate of follow-up than drug-sensitive group (36.8% vs. 12.7%; p<0.001) (Table 2). Risk factors of drug resistance: Multiple logistic regression analysis was applied to factors associated with DR and MDR. Previous treatment of TB was the strongest risk factor of DR (odds ratio, 2.67; p<0.01) and MDR (odds ratio, 3.69; p<0.01). Pulmonary involvement of TB (odds ratio, 3.27; p<0.05) and associated medical illness (odds ratio, 2.30; p<0.05) were also risk factors of DR, but not of MDR (Table 3). Comparison between primary DR and acquired DR: Acquired DR group was older (48.2 ± 16.5years vs. 39.6 ± 16.3years; p<0.05) and lesser educated than primary DR group (11.1% vs. 38.9%; p<0.05). Acquired DR group also had higher rate of family history of TB (28.0% vs. 16.7%) and more lived in rented houses than primary DR group (30.8% vs. 22.2%), but it is not statistically significant (Table 4). Acquired DR group showed more involved lobes in chest X-ray (2.0 ± 0.8 vs. 1.4 ± 0.7; p<0.01) and longer duration of treatment than PDR group (18.3 ± 7.2 months vs. 10.6 ± 6.3 months; p<0.05) (Table 5). DISCUSSION: This study presented findings related to drug resistance in a TB endemic country not associated with HIV epidemic. The drug resistance in TB is one of the most important problems in the world and a major cause of morbidity and mortality2). TB was one of the most common 10 causes of Korean adults’ deaths until 19968). DR and severity of infection are important factors determining the mortality in TB patients. The national goal of TB control is closely related to control of DR. According to a national TB survey of Korea, the rate of DR was the highest in 1980 and then it tended to decline8, 9). The rate of isoniazid-resistant TB was the highest among the antituberculous drugs throughout the world and the rate of rifampin-resistant TB was high in an endemic area5,11–14). This study showed that nearly 20 percent of the patients with active TB could transmit isoniazid-resistant organisms. The use of rifampin with or without pyrazinamide in chemoprophylaxis for the case contact in a prevalent area of isoniazid-resistant TB is issued15). The increasing resistance to rifampin is particularly troubling, since rifampin is essential to short-course antituberculosis therapy16). In this study, 10 percent of the total cases could transmit organisms resistant to both isoniazid and rifampin. Consensus on preventive therapy for MDR TB was not reached and the current recommendation was a regimen of pyrazinamide and fluoroquinolone for 4 months17). Because previous use of antituberculous medication was the most important risk factor of DR4,6,13,14,18,19) as shown in this study, and accompanied medical illness due to decreased immunity was high risk group of DR3, 20, 21), DR should be suspected in cases of delayed response to therapy or continued positive AFB smear despite treatment. The ability to complete antituberculosis therapy can be affected by housing status, employment status, level of literacy and psychological aspects22–25). In this study, alcohol abuse, marital status or employment status did not influence the development of DR. Because patients with DR are usually treated with 2nd line antituberculosis drugs for a long duration, which are more toxic and costlier than first line drugs, they are apt to have poor adherence to medication compared with drug-sensitive patients. The other factors to develop DR are drug intolerance during therapy25), contact with DR TB26), birth and residence in an endemic area5,6,13,14,19), HIV infection6, 13) and cavitary pulmonary tuberculosis18, 19). The first large scale sample survey in Korea in 1994, cooperation with WHO and IUATLD9, 11), presented lower rates in overall DR and primary DR and higher rate in acquired DR compared with this study (Table 6). The discrepancies between this study and the nationwide study could originate from differences in the size and nature of the study population, study period and study area. The population of previous treated TB cases out of all cases in this study was higher than that in the national study (84 of 308 cases, 27.3% vs. 189 of 2675 cases, 7.1%). This could contribute to raise the overall rate of DR in this study. Although the rate of acquired DR was lower in this study than the national survey of 1994, the rate of MDR is about 3 times that of the national survey of 1994. The population of this study was derived mainly from residents in Seoul. Residents in other areas were only 52 (13.6%) out of 308 patients. Therefore, this study could represent drug resistance in Seoul as an urban area. Generally, an urban community is more crowded and has more chance to transmit an infectious disease than a rural community. As another reason to be considered, more advanced cases among newly diagnosed subjects might prefer to be treated in 3rd referral hospitals rather than in a public TB care center as in rural areas. Actually, in this study, patients with primary DR showed a higher rate of hospitalization despite a younger age than those with acquired DR, and the rate of primary MDR in this study was far higher than that in the national survey of 1994. Our data had comparable results with the report from Chungnam University of Korea27). In this study, patients with acquired DR showed chronic reluctant course, low education level and low economic status compared with those with primary DR. Traditionally, patients with DR TB are classified as having acquired DR or primary DR on the basis of a history of previous TB treatment28, 29). Only cases of primary DR are assumed to be due to transmission of DR strains. Recent studies based on restriction-fragment length polymorphisms, useful in distinguishing different strains of M. tuberculosis, revealed that recent transmission as well as true acquisition of DR during therapy was an important cause of DR, especially MDR, even in previously treated cases in certain urban populations30, 31). Therefore, traditional clinical classification based on a history of previous treatment may result in misinterpretation and the underestimation of transmission. Improper isolation and poor ventilation due to crowding are important reasons for spread of TB particularly in the low socioeconomic status of urban areas. The resistant cases, especially previously treated, remain sources of infection for prolonged periods and they are likely to infect others31–35). Finally, the high rate of DR and MDR in acquired cases contribute to increasing rates of DR and MDR in primary cases. When dealing with a patient who has resistant TB, it is very important that the physician evaluate the situation fully. When seeing a patient who has already been treated for TB, susceptibility tests should be ordered. The only way to ensure that patients take their medication properly is to give it to them, i.e. direct observed therapy (DOT)34). Although routine DOT can not be afforded in many countries with a high prevalence of MDR TB, application of DOT is requisite in drug resistant TB, especially for poor adherence to treatment, to prevent the development of further drug resistance36). Previously treated tuberculosis is a most important risk factor for DR. DR group, especially ADR, showed less compliance with treatment. More proper education and attention to prevent self-interruption should be given to a previously treated group. This study showed a higher rate of primary DR and primary MDR compared to the national study, suggesting more severe cases among newly diagnosed patients treated in tertiary referral hospitals rather than public TB care centers. High rate of acquired DR contributes to increasing the rate of primary DR. Initial drug susceptibility testing is necessary to guide optimal treatment to a culture positive case with the high risk of DR, especially in TB prevalent areas.
Background: Resistance of Mycobacterium tuberculosis strains is an increasing problem worldwide. Our purpose was to determine the prevalence of drug resistance (DR) and risk factors of DR in patients with tuberculosis and to assess the clinical characteristics and socioeconomic status of patients with drug-resistant tuberculosis. Methods: We retrospectively studied drug susceptibility tests and clinical and socioeconomic records for 308 cases of culture-positive Mycobacterium tuberculosis infection, diagnosed at Mokdong Hospital, Ewha Womans University from March, 1995 to February, 2000. Results: DR to at least one drug was identified in 75 (24.4%); the rate of primary DR, 18.7% and acquired DR, 39.3%. Multi-drug resistance (MDR) was identified in 31 (10.1%); primary MDR, 7.0% and acquired MDR, 21.4%. The risk factors of DR were previous TB treatment, pulmonary involvement and associated medical illness. DR group showed lesser adherence to treatment than the drug-sensitive group. DR group showed more frequent self-interruption of medication, lower completion rate of treatment and higher failure rate of follow-up than the drug-sensitive group. In previously treated tuberculosis patients, higher rate of overall DR and MDR, larger number of resistant drugs and more frequent self-interruption of medication were observed than newly diagnosed patients. Among DR group, acquired DR (ADR) group was older, less educated and treated for longer duration and had more advanced disease than primary DR group. Conclusions: Previously treated tuberculosis is a most important risk factor for DR. DR group, especially ADR, showed less compliance with treatment. More proper education and attention to prevent self-interruption should be given to a previously treated group. In TB prevalent areas, it should be considered to obtain initial drug susceptibility testing in high risk of DR.
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[ 109, 121, 115, 231, 118, 84, 130 ]
12
[ "dr", "drug", "tb", "resistance", "vs", "acquired", "group", "primary", "mdr", "acquired dr" ]
[ "resistant tuberculosis interviews", "mycobacterium tuberculosis infection", "susceptibility tuberculosis isolates", "drug resistance tb", "drug susceptible tuberculosis" ]
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[CONTENT] tuberculosis | drug resistance | Korea [SUMMARY]
[CONTENT] tuberculosis | drug resistance | Korea [SUMMARY]
[CONTENT] tuberculosis | drug resistance | Korea [SUMMARY]
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[CONTENT] tuberculosis | drug resistance | Korea [SUMMARY]
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[CONTENT] Adolescent | Adult | Age Distribution | Antitubercular Agents | Female | Hospitals, Teaching | Humans | Incidence | Korea | Logistic Models | Male | Microbial Sensitivity Tests | Middle Aged | Mycobacterium tuberculosis | Probability | Referral and Consultation | Retrospective Studies | Risk Factors | Sex Distribution | Tuberculosis, Multidrug-Resistant [SUMMARY]
[CONTENT] Adolescent | Adult | Age Distribution | Antitubercular Agents | Female | Hospitals, Teaching | Humans | Incidence | Korea | Logistic Models | Male | Microbial Sensitivity Tests | Middle Aged | Mycobacterium tuberculosis | Probability | Referral and Consultation | Retrospective Studies | Risk Factors | Sex Distribution | Tuberculosis, Multidrug-Resistant [SUMMARY]
[CONTENT] Adolescent | Adult | Age Distribution | Antitubercular Agents | Female | Hospitals, Teaching | Humans | Incidence | Korea | Logistic Models | Male | Microbial Sensitivity Tests | Middle Aged | Mycobacterium tuberculosis | Probability | Referral and Consultation | Retrospective Studies | Risk Factors | Sex Distribution | Tuberculosis, Multidrug-Resistant [SUMMARY]
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[CONTENT] Adolescent | Adult | Age Distribution | Antitubercular Agents | Female | Hospitals, Teaching | Humans | Incidence | Korea | Logistic Models | Male | Microbial Sensitivity Tests | Middle Aged | Mycobacterium tuberculosis | Probability | Referral and Consultation | Retrospective Studies | Risk Factors | Sex Distribution | Tuberculosis, Multidrug-Resistant [SUMMARY]
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[CONTENT] resistant tuberculosis interviews | mycobacterium tuberculosis infection | susceptibility tuberculosis isolates | drug resistance tb | drug susceptible tuberculosis [SUMMARY]
[CONTENT] resistant tuberculosis interviews | mycobacterium tuberculosis infection | susceptibility tuberculosis isolates | drug resistance tb | drug susceptible tuberculosis [SUMMARY]
[CONTENT] resistant tuberculosis interviews | mycobacterium tuberculosis infection | susceptibility tuberculosis isolates | drug resistance tb | drug susceptible tuberculosis [SUMMARY]
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[CONTENT] resistant tuberculosis interviews | mycobacterium tuberculosis infection | susceptibility tuberculosis isolates | drug resistance tb | drug susceptible tuberculosis [SUMMARY]
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[CONTENT] dr | drug | tb | resistance | vs | acquired | group | primary | mdr | acquired dr [SUMMARY]
[CONTENT] dr | drug | tb | resistance | vs | acquired | group | primary | mdr | acquired dr [SUMMARY]
[CONTENT] dr | drug | tb | resistance | vs | acquired | group | primary | mdr | acquired dr [SUMMARY]
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[CONTENT] dr | drug | tb | resistance | vs | acquired | group | primary | mdr | acquired dr [SUMMARY]
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[CONTENT] tuberculosis | drug | increased | drug resistance | poor | especially | isolation | resistance | national | dr [SUMMARY]
[CONTENT] test | χ2 test independent test | test independent | independent test applied | independent test applied compare | spss | variables | variables groups | variables groups multiple | variables groups multiple logistic [SUMMARY]
[CONTENT] vs | group | dr | mdr | 05 | acquired | primary | dr group | acquired dr | odds ratio [SUMMARY]
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[CONTENT] dr | vs | drug | resistance | group | ml | mdr | tb | μg ml | μg [SUMMARY]
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[CONTENT] ||| DR | DR [SUMMARY]
[CONTENT] 308 | Mokdong Hospital | Ewha Womans University | March, 1995 to | February, 2000 [SUMMARY]
[CONTENT] DR | at least one | 75 | 24.4% | DR | 18.7% | DR | 39.3% ||| MDR | 31 | 10.1% | MDR | 7.0% | MDR | 21.4% ||| DR | TB ||| DR ||| DR ||| DR | MDR ||| DR | DR | ADR | DR [SUMMARY]
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[CONTENT] ||| DR | DR ||| 308 | Mokdong Hospital | Ewha Womans University | March, 1995 to | February, 2000 ||| at least one | 75 | 24.4% | DR | 18.7% | DR | 39.3% ||| MDR | 31 | 10.1% | MDR | 7.0% | MDR | 21.4% ||| DR | TB ||| DR ||| DR ||| DR | MDR ||| DR | DR | ADR | DR ||| DR | DR | ADR ||| ||| TB | DR [SUMMARY]
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Spectrum and antibiotic sensitivity of bacteria contaminating the upper gut in patients with malabsorption syndrome from the tropics.
12769832
Various causes of malabsorption syndrome (MAS) are associated with intestinal stasis that may cause small intestinal bacterial overgrowth (SIBO). Frequency, nature and antibiotic sensitivity of SIBO in patients with MAS are not well understood.
BACKGROUND
Jejunal aspirates of 50 consecutive patients with MAS were cultured for bacteria and colony counts and antibiotic sensitivity were performed. Twelve patients with irritable bowel syndrome were studied as controls.
METHODS
Culture revealed growth of bacteria in 34/50 (68%) patients with MAS and 3/12 controls (p < 0.05). Colony counts ranged from 3 x 10(2) to 10(15) (median 10(5)) in MAS and 100 to 1000 (median 700) CFU/ml in controls (p 0.003). 21/50 (42%) patients had counts GreaterEqual;105 CFU/ml in MAS and none of controls (p < 0.05). Aerobes were isolated in 34/34 and anaerobe in 1/34. Commonest Gram positive and negative bacteria were Streptococcus species and Escherichia coli respectively. The isolated bacteria were more often sensitive to quinolones than to tetracycline (ciprofloxacin: 39/47 and norfloxacin: 34/47 vs. tetracycline 19/47, <0.01), ampicillin, erythromycin and co-trimoxazole (21/44, 14/22 and 24/47 respectively vs. tetracycline, p = ns).
RESULTS
SIBO is common in patients with MAS due to various causes and quinolones may be the preferred treatment. This needs to be proved further by a randomized controlled trial.
CONCLUSIONS
[ "Adult", "Drug Resistance, Bacterial", "Escherichia coli", "Female", "Humans", "Irritable Bowel Syndrome", "Jejunum", "Malabsorption Syndromes", "Male", "Microbial Sensitivity Tests", "Streptococcus" ]
165422
Background
Small intestinal bacterial overgrowth syndrome (SIBO) is defined as overgrowth of ≥105 colony forming unit (CFU) per ml of bacteria in the proximal small bowel [1]. Some authors considered a diagnosis of SIBO even with a lower colony count (≥ 103 CFU/ml) if the species of bacteria isolated in jejunal aspirate were those which, colonize large bowel [2,3]. Various anatomical lesions of small bowel and slowing of its motility may lead to bacterial overgrowth [4]. Several specific diseases e.g. celiac disease, tropical sprue (TS) and parasitic infestations have been shown to reduce intestinal motility [5-7]. Classic radiological findings of 'segmentation', 'flocculation' and dilatation of small bowel in barium series in patients with malabsorption are secondary to intestinal stasis [8]. Therefore, patients with specific causes of MAS like TS, celiac disease, parasitic infestations are also prone to SIBO. Frequency, nature and clinical significance of SIBO in patients without any other known cause of malabsorption syndrome (MAS, e.g. TS, celiac disease) are well established. Despite description of small bowel stasis in patients with various known causes of MAS, reports on frequency, nature and antibiotic sensitivity of SIBO in these patients are scant. We hypothesize that patients with MAS, irrespective of etiology, might have SIBO. Studies on bacterial population contaminating upper gut and their antibiotic sensitivity pattern from developed countries are sparse [9,10]. Sensitivity of these bacteria to currently available antibiotics has been reported only once [9]. There is no study on spectrum of bacteria and their sensitivity pattern to various antibiotics in patients with MAS from developing countries. SIBO is often treated with repeated courses of antibiotics. Tetracycline was the mainstay of therapy for SIBO in past [11]. With the availability of several newer safe, effective and non-absorbable antibiotics, studying in vitro sensitivity of bacteria isolated from small bowel of these patients to such antibiotics appears worthwhile. Accordingly, we undertook this study prospectively.
Methods
Patients 50 patients (age 44 ± 8.5 years, 31 males) with chronic diarrhea, weight loss and anemia diagnosed as having MAS attending Luminal Gastroenterology Clinic of our department were studied. Diagnosis of MAS was established by abnormal D-xylose test (< 1 g/5 g/5 h) with or without abnormal 24-h fecal fat estimation (≥ 7 g/d) while on fat loading by Van de Kamer's technique [12]. The clinical details of these patients have been reported elsewhere [6,13,14]. No patient received antibiotics within 8 weeks preceding the study. The criteria used for diagnosis of various causes of MAS were as follows: Celiac disease, a) presence of anti-endomysial antibody, b) suggestive histology and c) response to gluten free diet; giardiasis, demonstration of trophozoite form of the organism in stool and/or duodenal biopsy; intestinal tuberculosis, a) demonstration of acid fast bacilli in intestine or extra-intestinal site and b) response to therapy; strongyloidiasis, demonstration of the parasite in intestinal biopsy and/or stool microscopy; intestinal lymphangiectasia, dilated lymphatic channels in subepithelial location in intestinal biopsy; acquired immunodeficiency syndrome by serology; hypogammaglobulinemia by serum immunoglobulin estimation; TS, a) no specific cause for MAS and, b) persistent response to tetracycline and folic acid. The diagnoses of patients included in this study were as follows, tropical sprue (16), celiac disease (5), intestinal tuberculosis (3), panhypogammaglobulinemia (2) one of whom had strogyloidiasis, selective IgA deficiency (1), acquired immunodeficiency syndrome (1), giardiasis (2) and intestinal lymphangiectasia (1). Seven patients had SIBO secondary to either structural lesions or motility abnormality of gut (ileocolic anastomosis in 4, diverticulosis in 1, intestinal hypomotility due to scleroderma in 1 and diabetic autonomic neuropathy and hypothyroidism in 1). In 12/50 patients cause of MAS could not be ascertained. The protocol of the study was approved by the ethics committee of the institute and patients gave consent for inclusion into the study. 50 patients (age 44 ± 8.5 years, 31 males) with chronic diarrhea, weight loss and anemia diagnosed as having MAS attending Luminal Gastroenterology Clinic of our department were studied. Diagnosis of MAS was established by abnormal D-xylose test (< 1 g/5 g/5 h) with or without abnormal 24-h fecal fat estimation (≥ 7 g/d) while on fat loading by Van de Kamer's technique [12]. The clinical details of these patients have been reported elsewhere [6,13,14]. No patient received antibiotics within 8 weeks preceding the study. The criteria used for diagnosis of various causes of MAS were as follows: Celiac disease, a) presence of anti-endomysial antibody, b) suggestive histology and c) response to gluten free diet; giardiasis, demonstration of trophozoite form of the organism in stool and/or duodenal biopsy; intestinal tuberculosis, a) demonstration of acid fast bacilli in intestine or extra-intestinal site and b) response to therapy; strongyloidiasis, demonstration of the parasite in intestinal biopsy and/or stool microscopy; intestinal lymphangiectasia, dilated lymphatic channels in subepithelial location in intestinal biopsy; acquired immunodeficiency syndrome by serology; hypogammaglobulinemia by serum immunoglobulin estimation; TS, a) no specific cause for MAS and, b) persistent response to tetracycline and folic acid. The diagnoses of patients included in this study were as follows, tropical sprue (16), celiac disease (5), intestinal tuberculosis (3), panhypogammaglobulinemia (2) one of whom had strogyloidiasis, selective IgA deficiency (1), acquired immunodeficiency syndrome (1), giardiasis (2) and intestinal lymphangiectasia (1). Seven patients had SIBO secondary to either structural lesions or motility abnormality of gut (ileocolic anastomosis in 4, diverticulosis in 1, intestinal hypomotility due to scleroderma in 1 and diabetic autonomic neuropathy and hypothyroidism in 1). In 12/50 patients cause of MAS could not be ascertained. The protocol of the study was approved by the ethics committee of the institute and patients gave consent for inclusion into the study. Controls 12 patients with constipation predominant irritable bowel syndrome (IBS) diagnosed by Rome criteria [15] were used as controls. Clinical details of these patients have been reported elsewhere [6]. No patient with IBS had biochemical evidence of MAS [normal D-xylose test (≥ 1/g/5 g/5 h) and fecal fat estimation by Sudan III stain of spot stool specimen (< 10 droplets/high power field)]. Endoscopic jejunal biopsy was normal in them. None of them had received antibiotics, pro or anti-motility and anti-secretory drugs within 8 weeks preceding the study. 12 patients with constipation predominant irritable bowel syndrome (IBS) diagnosed by Rome criteria [15] were used as controls. Clinical details of these patients have been reported elsewhere [6]. No patient with IBS had biochemical evidence of MAS [normal D-xylose test (≥ 1/g/5 g/5 h) and fecal fat estimation by Sudan III stain of spot stool specimen (< 10 droplets/high power field)]. Endoscopic jejunal biopsy was normal in them. None of them had received antibiotics, pro or anti-motility and anti-secretory drugs within 8 weeks preceding the study. Jejunal aspiration Jejunal aspirate was collected during jejunoscopy with a pediatric colonoscope and a catheter described earlier [13]. Briefly, the catheter assembly had an inner tube that was 3 cm longer than the outer tube. A rubber obturator blocked the mouth of the outer tube (Fig. 1). The assembly was sterilized by autoclaving. On reaching the jejunum (confirmed by fluoroscopic examination in initial few patients and by length of endoscope inserted), the catheter assembly was introduced through the biopsy channel of a sterilized pediatric colonoscope. The inner tube was then pushed beyond the tip of the outer tube once the outer tube was 4–5 cm ahead of the tip of the endoscope. This led to dislodgement of the rubber obturator from the tip of the outer tube. Jejunal aspirate was collected through the inner tube with a sterile syringe, which was used for aerobic and anaerobic bacterial culture (transported in Robertson's cooked meat medium for the latter), colony count and drug sensitivity pattern. Assembly used for jejunal aspiration. (a) jejunal aspiration catheter with inner tube housed inside the outer tube. The tip of the outer tube is closed with a rubber obturator. (b) Note that the rubber obturator has been dislodged after inner tube has been pushed to come out from the tip of the outer tube. (c) Robertson's cooked meat media used to transport jejunal aspirate for anaerobic culture. (d) Sterile tube used to transport jejunal aspirate for aerobic culture. Jejunal aspirate was collected during jejunoscopy with a pediatric colonoscope and a catheter described earlier [13]. Briefly, the catheter assembly had an inner tube that was 3 cm longer than the outer tube. A rubber obturator blocked the mouth of the outer tube (Fig. 1). The assembly was sterilized by autoclaving. On reaching the jejunum (confirmed by fluoroscopic examination in initial few patients and by length of endoscope inserted), the catheter assembly was introduced through the biopsy channel of a sterilized pediatric colonoscope. The inner tube was then pushed beyond the tip of the outer tube once the outer tube was 4–5 cm ahead of the tip of the endoscope. This led to dislodgement of the rubber obturator from the tip of the outer tube. Jejunal aspirate was collected through the inner tube with a sterile syringe, which was used for aerobic and anaerobic bacterial culture (transported in Robertson's cooked meat medium for the latter), colony count and drug sensitivity pattern. Assembly used for jejunal aspiration. (a) jejunal aspiration catheter with inner tube housed inside the outer tube. The tip of the outer tube is closed with a rubber obturator. (b) Note that the rubber obturator has been dislodged after inner tube has been pushed to come out from the tip of the outer tube. (c) Robertson's cooked meat media used to transport jejunal aspirate for anaerobic culture. (d) Sterile tube used to transport jejunal aspirate for aerobic culture. Bacteriological studies Smears were prepared from jejunal aspirates, fixed, Gram stained and examined for presence of Gram positive and negative organisms. Bacterial species were cultured and isolated using standard techniques [16]. Briefly, for aerobic culture, samples were homogenized by vortexing and then diluted serially with sterile distilled water. Dilutions from 5 × 10-1 to 5 × 10-4 were prepared. Aliquots of non-diluted sample and each dilution (100 μl each) were plated on blood agar and MacConkey agar. After 24 to 48-h incubation at 37°C, colonies were counted and bacterial species identified using standard techniques [16,17]. Dilutions were made in Robertson's cooked meat broth for anaerobic culture. Undiluted sample and each dilution (100 μl each) were subcultured on Wilkins-Chalgren agar. For anaerobic culture anaerobic jars (McIntosh) were used. For gassing the culture evacuation replacement system (Anoxomate, Mart-Netherland) was used. The standard anaerobic recipe has 3 evacuation replacement cycles. In the first evacuation phase of the standard anaerobic culture 80% of the jar volume was evacuated. The anoxomate achieves this with high accuracy due to high precision pressure sensor. In the successive replacement, the jar was filled with oxygen free gas mixture (Nitrogen). The jar was finally filled with a gas mixture containing 80%-90% nitrogen, 5%-10% hydrogen and carbon dioxide. Strains of Clostridium difficile, Clostridium perfringens, Bacteroides fragilis and gram negative cocci were used as positive control with each batch. Pseudomonas aeruginosa was used as negative control. Cultures were examined for bacterial growth after incubation for 48-h and if negative, after 5 days at 37°C in an anaerobic chamber. In case of bacterial growth, colonies were counted and bacterial species identified using standard techniques. Rogosa agar was used [16] for lactobacilli and was incubated in anaerobic conditions. Bacterial counts were expressed as logarithm of colony forming units per ml of jejunal fluid. Total bacterial colonies and count of each species were obtained. Smears were prepared from jejunal aspirates, fixed, Gram stained and examined for presence of Gram positive and negative organisms. Bacterial species were cultured and isolated using standard techniques [16]. Briefly, for aerobic culture, samples were homogenized by vortexing and then diluted serially with sterile distilled water. Dilutions from 5 × 10-1 to 5 × 10-4 were prepared. Aliquots of non-diluted sample and each dilution (100 μl each) were plated on blood agar and MacConkey agar. After 24 to 48-h incubation at 37°C, colonies were counted and bacterial species identified using standard techniques [16,17]. Dilutions were made in Robertson's cooked meat broth for anaerobic culture. Undiluted sample and each dilution (100 μl each) were subcultured on Wilkins-Chalgren agar. For anaerobic culture anaerobic jars (McIntosh) were used. For gassing the culture evacuation replacement system (Anoxomate, Mart-Netherland) was used. The standard anaerobic recipe has 3 evacuation replacement cycles. In the first evacuation phase of the standard anaerobic culture 80% of the jar volume was evacuated. The anoxomate achieves this with high accuracy due to high precision pressure sensor. In the successive replacement, the jar was filled with oxygen free gas mixture (Nitrogen). The jar was finally filled with a gas mixture containing 80%-90% nitrogen, 5%-10% hydrogen and carbon dioxide. Strains of Clostridium difficile, Clostridium perfringens, Bacteroides fragilis and gram negative cocci were used as positive control with each batch. Pseudomonas aeruginosa was used as negative control. Cultures were examined for bacterial growth after incubation for 48-h and if negative, after 5 days at 37°C in an anaerobic chamber. In case of bacterial growth, colonies were counted and bacterial species identified using standard techniques. Rogosa agar was used [16] for lactobacilli and was incubated in anaerobic conditions. Bacterial counts were expressed as logarithm of colony forming units per ml of jejunal fluid. Total bacterial colonies and count of each species were obtained. Antibiotic sensitivity All bacterial strains were subjected to in vitro antibiotic sensitivity test. Antibiotic discs (Himedia, Mumbai, India), namely ampicillin (10 μg), ampicillin and salbactum (10 μg each), tetracycline (30 μg), co-trimoxazole (trimethoprim / sulfamethoxazole 1.25 / 23.75 μg), erythromycin (15 μg), norfloxacin (10 μg), ciprofloxacin (5 μg) and cephalexin (30 μg) were used. We chose these antibiotics as these are orally administered and therefore, are likely to be preferred by the clinicians in the treatment of SIBO. The antibiotic discs were stored at 4°C before use. Antibiotic sensitivity test was performed by modified Stoke's method [17]. Briefly, Muller Hinton's agar was prepared and its pH was adjusted to 7.3. It was poured to a depth of 4 mm on flat-bottomed 9-cm petri dishes. These were dried before use. The area of petri dish was arbitrarily divided into three parts, central area for control organisms and two areas on either side of it, for test organisms. The control organisms consisted of Escherichia coli [National Collection of Type Culture (NCTC) 10418], Staphylococcus aureus (NCTC 6571) and Pseudomonas aeruginosa (NCTC 10662) for coliforms, Staphylococcus and pseudomonads respectively. An inoculum of the test organism was prepared by emulsifying part of the growth from each of 5 similar colonies in saline. Turbidity of the suspension was adjusted to 0.5 McFarland standard spectrophotometrically at 530 nm wavelength. Overnight incubation of this inoculum produced semi-confluent growth. Sterile cotton swabs were impregnated with the test and control organisms separately. These swabs were used to inoculate the specified areas of the petri dishes with test and control organisms. A gap of 2–3 mm was left between test and control strains. Antibiotic discs were applied with light pressure on the agar surface using flamed forceps after the inoculum had dried. The petri dishes were incubated at 37°C for 16 to 18-h. The radial width of the zones outside the antibiotic discs was measured in mm. The zones of inhibition of the test organisms were compared with those of control strains. The results were interpreted based on measurement of zone of inhibition (mm) in test organisms as compared with the controls as follows: (a) sensitive: equal to, greater than or not less than 3-mm as compared with controls, (b) intermediate: ≥ 2-mm but smaller than controls by >3-mm, (c) resistant: ≤ 2-mm. All bacterial strains were subjected to in vitro antibiotic sensitivity test. Antibiotic discs (Himedia, Mumbai, India), namely ampicillin (10 μg), ampicillin and salbactum (10 μg each), tetracycline (30 μg), co-trimoxazole (trimethoprim / sulfamethoxazole 1.25 / 23.75 μg), erythromycin (15 μg), norfloxacin (10 μg), ciprofloxacin (5 μg) and cephalexin (30 μg) were used. We chose these antibiotics as these are orally administered and therefore, are likely to be preferred by the clinicians in the treatment of SIBO. The antibiotic discs were stored at 4°C before use. Antibiotic sensitivity test was performed by modified Stoke's method [17]. Briefly, Muller Hinton's agar was prepared and its pH was adjusted to 7.3. It was poured to a depth of 4 mm on flat-bottomed 9-cm petri dishes. These were dried before use. The area of petri dish was arbitrarily divided into three parts, central area for control organisms and two areas on either side of it, for test organisms. The control organisms consisted of Escherichia coli [National Collection of Type Culture (NCTC) 10418], Staphylococcus aureus (NCTC 6571) and Pseudomonas aeruginosa (NCTC 10662) for coliforms, Staphylococcus and pseudomonads respectively. An inoculum of the test organism was prepared by emulsifying part of the growth from each of 5 similar colonies in saline. Turbidity of the suspension was adjusted to 0.5 McFarland standard spectrophotometrically at 530 nm wavelength. Overnight incubation of this inoculum produced semi-confluent growth. Sterile cotton swabs were impregnated with the test and control organisms separately. These swabs were used to inoculate the specified areas of the petri dishes with test and control organisms. A gap of 2–3 mm was left between test and control strains. Antibiotic discs were applied with light pressure on the agar surface using flamed forceps after the inoculum had dried. The petri dishes were incubated at 37°C for 16 to 18-h. The radial width of the zones outside the antibiotic discs was measured in mm. The zones of inhibition of the test organisms were compared with those of control strains. The results were interpreted based on measurement of zone of inhibition (mm) in test organisms as compared with the controls as follows: (a) sensitive: equal to, greater than or not less than 3-mm as compared with controls, (b) intermediate: ≥ 2-mm but smaller than controls by >3-mm, (c) resistant: ≤ 2-mm. Statistical analysis Nominal variables were analyzed by Chi-square test with Yates' correction as applicable. Numerical variables were analyzed by Mann-Whitney U test as the data were not expected to have normal distribution. A p value of < 0.05 was considered as significant. Nominal variables were analyzed by Chi-square test with Yates' correction as applicable. Numerical variables were analyzed by Mann-Whitney U test as the data were not expected to have normal distribution. A p value of < 0.05 was considered as significant.
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Discussion
The pre-publication history for this paper can be accessed here:
[ "Background", "Patients", "Controls", "Jejunal aspiration", "Bacteriological studies", "Antibiotic sensitivity", "Statistical analysis", "Results", "Gram staining", "Frequency, nature of the bacteria and colony count", "Sensitivity testing", "Discussion" ]
[ "Small intestinal bacterial overgrowth syndrome (SIBO) is defined as overgrowth of ≥105 colony forming unit (CFU) per ml of bacteria in the proximal small bowel [1]. Some authors considered a diagnosis of SIBO even with a lower colony count (≥ 103 CFU/ml) if the species of bacteria isolated in jejunal aspirate were those which, colonize large bowel [2,3]. Various anatomical lesions of small bowel and slowing of its motility may lead to bacterial overgrowth [4]. Several specific diseases e.g. celiac disease, tropical sprue (TS) and parasitic infestations have been shown to reduce intestinal motility [5-7]. Classic radiological findings of 'segmentation', 'flocculation' and dilatation of small bowel in barium series in patients with malabsorption are secondary to intestinal stasis [8]. Therefore, patients with specific causes of MAS like TS, celiac disease, parasitic infestations are also prone to SIBO. Frequency, nature and clinical significance of SIBO in patients without any other known cause of malabsorption syndrome (MAS, e.g. TS, celiac disease) are well established. Despite description of small bowel stasis in patients with various known causes of MAS, reports on frequency, nature and antibiotic sensitivity of SIBO in these patients are scant. We hypothesize that patients with MAS, irrespective of etiology, might have SIBO.\nStudies on bacterial population contaminating upper gut and their antibiotic sensitivity pattern from developed countries are sparse [9,10]. Sensitivity of these bacteria to currently available antibiotics has been reported only once [9]. There is no study on spectrum of bacteria and their sensitivity pattern to various antibiotics in patients with MAS from developing countries. SIBO is often treated with repeated courses of antibiotics. Tetracycline was the mainstay of therapy for SIBO in past [11]. With the availability of several newer safe, effective and non-absorbable antibiotics, studying in vitro sensitivity of bacteria isolated from small bowel of these patients to such antibiotics appears worthwhile. Accordingly, we undertook this study prospectively.", "50 patients (age 44 ± 8.5 years, 31 males) with chronic diarrhea, weight loss and anemia diagnosed as having MAS attending Luminal Gastroenterology Clinic of our department were studied. Diagnosis of MAS was established by abnormal D-xylose test (< 1 g/5 g/5 h) with or without abnormal 24-h fecal fat estimation (≥ 7 g/d) while on fat loading by Van de Kamer's technique [12]. The clinical details of these patients have been reported elsewhere [6,13,14]. No patient received antibiotics within 8 weeks preceding the study. The criteria used for diagnosis of various causes of MAS were as follows: Celiac disease, a) presence of anti-endomysial antibody, b) suggestive histology and c) response to gluten free diet; giardiasis, demonstration of trophozoite form of the organism in stool and/or duodenal biopsy; intestinal tuberculosis, a) demonstration of acid fast bacilli in intestine or extra-intestinal site and b) response to therapy; strongyloidiasis, demonstration of the parasite in intestinal biopsy and/or stool microscopy; intestinal lymphangiectasia, dilated lymphatic channels in subepithelial location in intestinal biopsy; acquired immunodeficiency syndrome by serology; hypogammaglobulinemia by serum immunoglobulin estimation; TS, a) no specific cause for MAS and, b) persistent response to tetracycline and folic acid.\nThe diagnoses of patients included in this study were as follows, tropical sprue (16), celiac disease (5), intestinal tuberculosis (3), panhypogammaglobulinemia (2) one of whom had strogyloidiasis, selective IgA deficiency (1), acquired immunodeficiency syndrome (1), giardiasis (2) and intestinal lymphangiectasia (1). Seven patients had SIBO secondary to either structural lesions or motility abnormality of gut (ileocolic anastomosis in 4, diverticulosis in 1, intestinal hypomotility due to scleroderma in 1 and diabetic autonomic neuropathy and hypothyroidism in 1). In 12/50 patients cause of MAS could not be ascertained. The protocol of the study was approved by the ethics committee of the institute and patients gave consent for inclusion into the study.", "12 patients with constipation predominant irritable bowel syndrome (IBS) diagnosed by Rome criteria [15] were used as controls. Clinical details of these patients have been reported elsewhere [6]. No patient with IBS had biochemical evidence of MAS [normal D-xylose test (≥ 1/g/5 g/5 h) and fecal fat estimation by Sudan III stain of spot stool specimen (< 10 droplets/high power field)]. Endoscopic jejunal biopsy was normal in them. None of them had received antibiotics, pro or anti-motility and anti-secretory drugs within 8 weeks preceding the study.", "Jejunal aspirate was collected during jejunoscopy with a pediatric colonoscope and a catheter described earlier [13]. Briefly, the catheter assembly had an inner tube that was 3 cm longer than the outer tube. A rubber obturator blocked the mouth of the outer tube (Fig. 1). The assembly was sterilized by autoclaving. On reaching the jejunum (confirmed by fluoroscopic examination in initial few patients and by length of endoscope inserted), the catheter assembly was introduced through the biopsy channel of a sterilized pediatric colonoscope. The inner tube was then pushed beyond the tip of the outer tube once the outer tube was 4–5 cm ahead of the tip of the endoscope. This led to dislodgement of the rubber obturator from the tip of the outer tube. Jejunal aspirate was collected through the inner tube with a sterile syringe, which was used for aerobic and anaerobic bacterial culture (transported in Robertson's cooked meat medium for the latter), colony count and drug sensitivity pattern.\nAssembly used for jejunal aspiration. (a) jejunal aspiration catheter with inner tube housed inside the outer tube. The tip of the outer tube is closed with a rubber obturator. (b) Note that the rubber obturator has been dislodged after inner tube has been pushed to come out from the tip of the outer tube. (c) Robertson's cooked meat media used to transport jejunal aspirate for anaerobic culture. (d) Sterile tube used to transport jejunal aspirate for aerobic culture.", "Smears were prepared from jejunal aspirates, fixed, Gram stained and examined for presence of Gram positive and negative organisms. Bacterial species were cultured and isolated using standard techniques [16]. Briefly, for aerobic culture, samples were homogenized by vortexing and then diluted serially with sterile distilled water. Dilutions from 5 × 10-1 to 5 × 10-4 were prepared. Aliquots of non-diluted sample and each dilution (100 μl each) were plated on blood agar and MacConkey agar. After 24 to 48-h incubation at 37°C, colonies were counted and bacterial species identified using standard techniques [16,17]. Dilutions were made in Robertson's cooked meat broth for anaerobic culture. Undiluted sample and each dilution (100 μl each) were subcultured on Wilkins-Chalgren agar. For anaerobic culture anaerobic jars (McIntosh) were used. For gassing the culture evacuation replacement system (Anoxomate, Mart-Netherland) was used. The standard anaerobic recipe has 3 evacuation replacement cycles. In the first evacuation phase of the standard anaerobic culture 80% of the jar volume was evacuated. The anoxomate achieves this with high accuracy due to high precision pressure sensor. In the successive replacement, the jar was filled with oxygen free gas mixture (Nitrogen). The jar was finally filled with a gas mixture containing 80%-90% nitrogen, 5%-10% hydrogen and carbon dioxide. Strains of Clostridium difficile, Clostridium perfringens, Bacteroides fragilis and gram negative cocci were used as positive control with each batch. Pseudomonas aeruginosa was used as negative control. Cultures were examined for bacterial growth after incubation for 48-h and if negative, after 5 days at 37°C in an anaerobic chamber. In case of bacterial growth, colonies were counted and bacterial species identified using standard techniques. Rogosa agar was used [16] for lactobacilli and was incubated in anaerobic conditions. Bacterial counts were expressed as logarithm of colony forming units per ml of jejunal fluid. Total bacterial colonies and count of each species were obtained.", "All bacterial strains were subjected to in vitro antibiotic sensitivity test. Antibiotic discs (Himedia, Mumbai, India), namely ampicillin (10 μg), ampicillin and salbactum (10 μg each), tetracycline (30 μg), co-trimoxazole (trimethoprim / sulfamethoxazole 1.25 / 23.75 μg), erythromycin (15 μg), norfloxacin (10 μg), ciprofloxacin (5 μg) and cephalexin (30 μg) were used. We chose these antibiotics as these are orally administered and therefore, are likely to be preferred by the clinicians in the treatment of SIBO. The antibiotic discs were stored at 4°C before use. Antibiotic sensitivity test was performed by modified Stoke's method [17]. Briefly, Muller Hinton's agar was prepared and its pH was adjusted to 7.3. It was poured to a depth of 4 mm on flat-bottomed 9-cm petri dishes. These were dried before use. The area of petri dish was arbitrarily divided into three parts, central area for control organisms and two areas on either side of it, for test organisms. The control organisms consisted of Escherichia coli [National Collection of Type Culture (NCTC) 10418], Staphylococcus aureus (NCTC 6571) and Pseudomonas aeruginosa (NCTC 10662) for coliforms, Staphylococcus and pseudomonads respectively. An inoculum of the test organism was prepared by emulsifying part of the growth from each of 5 similar colonies in saline. Turbidity of the suspension was adjusted to 0.5 McFarland standard spectrophotometrically at 530 nm wavelength. Overnight incubation of this inoculum produced semi-confluent growth. Sterile cotton swabs were impregnated with the test and control organisms separately. These swabs were used to inoculate the specified areas of the petri dishes with test and control organisms. A gap of 2–3 mm was left between test and control strains. Antibiotic discs were applied with light pressure on the agar surface using flamed forceps after the inoculum had dried. The petri dishes were incubated at 37°C for 16 to 18-h.\nThe radial width of the zones outside the antibiotic discs was measured in mm. The zones of inhibition of the test organisms were compared with those of control strains. The results were interpreted based on measurement of zone of inhibition (mm) in test organisms as compared with the controls as follows: (a) sensitive: equal to, greater than or not less than 3-mm as compared with controls, (b) intermediate: ≥ 2-mm but smaller than controls by >3-mm, (c) resistant: ≤ 2-mm.", "Nominal variables were analyzed by Chi-square test with Yates' correction as applicable. Numerical variables were analyzed by Mann-Whitney U test as the data were not expected to have normal distribution. A p value of < 0.05 was considered as significant.", " Gram staining Gram positive cocci were found in 8/50, Gram negative bacilli in 13/50 and both Gram positive cocci and negative bacilli in 7/50 patients with MAS. In other 22 patients Gram staining did not show any bacteria.\nGram positive cocci were found in 8/50, Gram negative bacilli in 13/50 and both Gram positive cocci and negative bacilli in 7/50 patients with MAS. In other 22 patients Gram staining did not show any bacteria.\n Frequency, nature of the bacteria and colony count Culture revealed growth of bacteria in 34/50 (68%) patients with MAS and 3/12 patients with IBS (p < 0.05). Total colony count ranged from 3 × 102 to 1 × 1015 colony forming unit (CFU)/ml (median 105) in MAS and 100–1000 (median 700) CFU/ml in patients with IBS (p 0.003); 21/50 (42%) patients had with MAS and none of 12 with IBS had colony count ≥105 CFU/ml (p < 0.05). In patients with MAS, aerobes were isolated in 34/34 and anaerobe in 1/34 with positive culture. Two bacterial species were grown in jejunal aspirate of 13 patients and three bacterial species in one patient. In the remaining 20 patients, growth of a single bacterial species was obtained. Frequency of isolation of different bacteria and colony count of each species of bacteria in patients with MAS are shown in table 1. ≥105 CFU/mL bacteria grew in 6/16 patients with TS, 2/5 with celiac disease, 1/3 with intestinal tuberculosis, 1/1 with panhypogammaglobulinemia and Strongyloidiasis, 1/1 with selective IgA deficiency, all seven with SIBO secondary to structural and motility abnormality and 3/12 with MAS without a known cause.\nFrequency of isolation and colony counts of different bacteria in patients with malabsorption syndrome.\n*Jejunal aspirate of 20 patients grew one, 13 two and one three bacterial species.\nCulture revealed growth of bacteria in 34/50 (68%) patients with MAS and 3/12 patients with IBS (p < 0.05). Total colony count ranged from 3 × 102 to 1 × 1015 colony forming unit (CFU)/ml (median 105) in MAS and 100–1000 (median 700) CFU/ml in patients with IBS (p 0.003); 21/50 (42%) patients had with MAS and none of 12 with IBS had colony count ≥105 CFU/ml (p < 0.05). In patients with MAS, aerobes were isolated in 34/34 and anaerobe in 1/34 with positive culture. Two bacterial species were grown in jejunal aspirate of 13 patients and three bacterial species in one patient. In the remaining 20 patients, growth of a single bacterial species was obtained. Frequency of isolation of different bacteria and colony count of each species of bacteria in patients with MAS are shown in table 1. ≥105 CFU/mL bacteria grew in 6/16 patients with TS, 2/5 with celiac disease, 1/3 with intestinal tuberculosis, 1/1 with panhypogammaglobulinemia and Strongyloidiasis, 1/1 with selective IgA deficiency, all seven with SIBO secondary to structural and motility abnormality and 3/12 with MAS without a known cause.\nFrequency of isolation and colony counts of different bacteria in patients with malabsorption syndrome.\n*Jejunal aspirate of 20 patients grew one, 13 two and one three bacterial species.\n Sensitivity testing In vitro sensitivity to commonly used orally absorbed antibiotics showed (table 2) that bacteria isolated from small bowel were more often sensitive to quinolones (ciprofloxacin and norfloxacin) than to tetracycline (39/47 and 34/47 vs 19/47, p < 0.0001 and <0.01, respectively); it is important to note that tetracycline is commonly used to treat chronic diarrhoea and malabsorption associated with bacterial contamination of small bowel [10,11]. There was no difference in sensitivity to ampicillin, erythromycin, co-trimoxazole with that of tetracycline (21/44, 14/22 and 24/47 vs. 19/47, p = ns). 30/44 and 25/40 bacterial species were sensitive to ampicillin and sulbactam combination and cephalexin respectively.\nSensitivity of the bacteria isolated from jejunal aspirate to various antibiotics.\nFigures within parenthesis indicate percentages. NT: not tested. *p < 0.01; $p < 0.0001 (Chi-squared test)\nIn vitro sensitivity to commonly used orally absorbed antibiotics showed (table 2) that bacteria isolated from small bowel were more often sensitive to quinolones (ciprofloxacin and norfloxacin) than to tetracycline (39/47 and 34/47 vs 19/47, p < 0.0001 and <0.01, respectively); it is important to note that tetracycline is commonly used to treat chronic diarrhoea and malabsorption associated with bacterial contamination of small bowel [10,11]. There was no difference in sensitivity to ampicillin, erythromycin, co-trimoxazole with that of tetracycline (21/44, 14/22 and 24/47 vs. 19/47, p = ns). 30/44 and 25/40 bacterial species were sensitive to ampicillin and sulbactam combination and cephalexin respectively.\nSensitivity of the bacteria isolated from jejunal aspirate to various antibiotics.\nFigures within parenthesis indicate percentages. NT: not tested. *p < 0.01; $p < 0.0001 (Chi-squared test)", "Gram positive cocci were found in 8/50, Gram negative bacilli in 13/50 and both Gram positive cocci and negative bacilli in 7/50 patients with MAS. In other 22 patients Gram staining did not show any bacteria.", "Culture revealed growth of bacteria in 34/50 (68%) patients with MAS and 3/12 patients with IBS (p < 0.05). Total colony count ranged from 3 × 102 to 1 × 1015 colony forming unit (CFU)/ml (median 105) in MAS and 100–1000 (median 700) CFU/ml in patients with IBS (p 0.003); 21/50 (42%) patients had with MAS and none of 12 with IBS had colony count ≥105 CFU/ml (p < 0.05). In patients with MAS, aerobes were isolated in 34/34 and anaerobe in 1/34 with positive culture. Two bacterial species were grown in jejunal aspirate of 13 patients and three bacterial species in one patient. In the remaining 20 patients, growth of a single bacterial species was obtained. Frequency of isolation of different bacteria and colony count of each species of bacteria in patients with MAS are shown in table 1. ≥105 CFU/mL bacteria grew in 6/16 patients with TS, 2/5 with celiac disease, 1/3 with intestinal tuberculosis, 1/1 with panhypogammaglobulinemia and Strongyloidiasis, 1/1 with selective IgA deficiency, all seven with SIBO secondary to structural and motility abnormality and 3/12 with MAS without a known cause.\nFrequency of isolation and colony counts of different bacteria in patients with malabsorption syndrome.\n*Jejunal aspirate of 20 patients grew one, 13 two and one three bacterial species.", "In vitro sensitivity to commonly used orally absorbed antibiotics showed (table 2) that bacteria isolated from small bowel were more often sensitive to quinolones (ciprofloxacin and norfloxacin) than to tetracycline (39/47 and 34/47 vs 19/47, p < 0.0001 and <0.01, respectively); it is important to note that tetracycline is commonly used to treat chronic diarrhoea and malabsorption associated with bacterial contamination of small bowel [10,11]. There was no difference in sensitivity to ampicillin, erythromycin, co-trimoxazole with that of tetracycline (21/44, 14/22 and 24/47 vs. 19/47, p = ns). 30/44 and 25/40 bacterial species were sensitive to ampicillin and sulbactam combination and cephalexin respectively.\nSensitivity of the bacteria isolated from jejunal aspirate to various antibiotics.\nFigures within parenthesis indicate percentages. NT: not tested. *p < 0.01; $p < 0.0001 (Chi-squared test)", "In this study we found that the spectrum of bacteria isolated from upper small bowel in patients with malabsorption syndrome from the tropics are somewhat similar to that reported from the west [9]; these bacteria are often resistant to tetracycline, co-trimoxazole, ampicillin and sensitive to quinolones. Therefore, our data suggest the need for undertaking randomized controlled trial of these orally administered antibiotics in the treatment of SIBO and contaminated small bowel syndrome in the tropics.\nWe have shown that SIBO was common in MAS due to any cause (e.g. TS, celiac disease, parasitic infestation, immunodeficiency states) and resulted from both Gram positive and Gram negative bacteria. SIBO was diagnosed using standard definition (≥105 CFU/ml bacteria in jejunal aspirate) [1]. Predominant Gram positive organism was streptococcus species and the predominant Gram negative organism was Escherichia coli. This is accordance with the earlier report from the west [9]. Anaerobes were infrequently found in our study. This might be related to the fastidious nature of anaerobes and failure to grow even on exposure to small quantity of oxygen [18]. Other reasons could be related to differences in patient population included in our study. We studied patients with MAS due to other primary causes; in contrast, earlier studies included patients with SIBO syndrome [9]. Lower colony counts of aerobes could be the other reason for lower frequency of anaerobes as aerobes utilize oxygen and help in growth of anaerobes [19]. Several isolated studies documented SIBO either using microbiological techniques or glucose hydrogen breath test in patients with celiac disease [20], TS [6], parasitic infestation of small bowel [7,13] and hypogammaglobulinemia [21]. In this study we documented frequent occurrence of SIBO in patients with various causes of MAS as a group. Such secondary SIBO in patients with another cause of MAS may have clinical significance as it can further compound malabsorption of nutrients in addition to the primary disease contributing to it. Studies from Burma suggested SIBO as a cause of malnutrition in pediatric population [22,23]. Secondly, at times a transient response to antibiotics resulting from eradication of such secondary SIBO may mislead the clinician trying to establish the diagnosis of etiology of MAS.\nWe found frequent resistance to the drugs that are often used in the treatment of SIBO syndrome. Over half of bacteria were resistant to tetracycline, the drug that has been considered as the first line antibiotic in the treatment of SIBO when not guided by antibiogram [11], a quite common practice. Most strains were also resistant to the combination of trimethoprim-sulfamethoxazole. This is in contrast to the earlier western report showing infrequent resistance to most antibiotics [9]. These discrepancies might be explained by differing practice of antibiotic use in different countries. Frequent resistance to commonly used antibiotics in India might owe to over the counter availability and frequent unnecessary use of these antibiotics. In the present study, we deliberately chose to report sensitivity patterns of orally used antibiotics as parenteral antibiotics are rarely used in treatment of SIBO. Most of bacteria isolated were sensitive to both ciprofloxacin and norfloxacin. However, we believe that norfloxacin may be preferred over ciprofloxacin, since norfloxacin has low systemic absorption [24] and therefore, may have infrequent side effects and may be safe particularly during pregnancy. Patients with SIBO often need long-term and repeated courses of antibiotics [25] and therefore, those with lesser toxicity and lower systemic absorption would be preferred. However, this needs to be proved by randomized controlled trial. A recent randomized cross over study on ten patients with SIBO from developed countries documented efficacy of norfloxacin in reducing diarrhoea and breath hydrogen [26].\nIn conclusion, SIBO is common in patients with malabsorption syndrome due various causes in the tropics and norfloxacin may be considered in its treatment. Our in vitro data also serve as a starting point for further randomized controlled trial of norfloxacin in treatment of SIBO." ]
[ null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Patients", "Controls", "Jejunal aspiration", "Bacteriological studies", "Antibiotic sensitivity", "Statistical analysis", "Results", "Gram staining", "Frequency, nature of the bacteria and colony count", "Sensitivity testing", "Discussion" ]
[ "Small intestinal bacterial overgrowth syndrome (SIBO) is defined as overgrowth of ≥105 colony forming unit (CFU) per ml of bacteria in the proximal small bowel [1]. Some authors considered a diagnosis of SIBO even with a lower colony count (≥ 103 CFU/ml) if the species of bacteria isolated in jejunal aspirate were those which, colonize large bowel [2,3]. Various anatomical lesions of small bowel and slowing of its motility may lead to bacterial overgrowth [4]. Several specific diseases e.g. celiac disease, tropical sprue (TS) and parasitic infestations have been shown to reduce intestinal motility [5-7]. Classic radiological findings of 'segmentation', 'flocculation' and dilatation of small bowel in barium series in patients with malabsorption are secondary to intestinal stasis [8]. Therefore, patients with specific causes of MAS like TS, celiac disease, parasitic infestations are also prone to SIBO. Frequency, nature and clinical significance of SIBO in patients without any other known cause of malabsorption syndrome (MAS, e.g. TS, celiac disease) are well established. Despite description of small bowel stasis in patients with various known causes of MAS, reports on frequency, nature and antibiotic sensitivity of SIBO in these patients are scant. We hypothesize that patients with MAS, irrespective of etiology, might have SIBO.\nStudies on bacterial population contaminating upper gut and their antibiotic sensitivity pattern from developed countries are sparse [9,10]. Sensitivity of these bacteria to currently available antibiotics has been reported only once [9]. There is no study on spectrum of bacteria and their sensitivity pattern to various antibiotics in patients with MAS from developing countries. SIBO is often treated with repeated courses of antibiotics. Tetracycline was the mainstay of therapy for SIBO in past [11]. With the availability of several newer safe, effective and non-absorbable antibiotics, studying in vitro sensitivity of bacteria isolated from small bowel of these patients to such antibiotics appears worthwhile. Accordingly, we undertook this study prospectively.", " Patients 50 patients (age 44 ± 8.5 years, 31 males) with chronic diarrhea, weight loss and anemia diagnosed as having MAS attending Luminal Gastroenterology Clinic of our department were studied. Diagnosis of MAS was established by abnormal D-xylose test (< 1 g/5 g/5 h) with or without abnormal 24-h fecal fat estimation (≥ 7 g/d) while on fat loading by Van de Kamer's technique [12]. The clinical details of these patients have been reported elsewhere [6,13,14]. No patient received antibiotics within 8 weeks preceding the study. The criteria used for diagnosis of various causes of MAS were as follows: Celiac disease, a) presence of anti-endomysial antibody, b) suggestive histology and c) response to gluten free diet; giardiasis, demonstration of trophozoite form of the organism in stool and/or duodenal biopsy; intestinal tuberculosis, a) demonstration of acid fast bacilli in intestine or extra-intestinal site and b) response to therapy; strongyloidiasis, demonstration of the parasite in intestinal biopsy and/or stool microscopy; intestinal lymphangiectasia, dilated lymphatic channels in subepithelial location in intestinal biopsy; acquired immunodeficiency syndrome by serology; hypogammaglobulinemia by serum immunoglobulin estimation; TS, a) no specific cause for MAS and, b) persistent response to tetracycline and folic acid.\nThe diagnoses of patients included in this study were as follows, tropical sprue (16), celiac disease (5), intestinal tuberculosis (3), panhypogammaglobulinemia (2) one of whom had strogyloidiasis, selective IgA deficiency (1), acquired immunodeficiency syndrome (1), giardiasis (2) and intestinal lymphangiectasia (1). Seven patients had SIBO secondary to either structural lesions or motility abnormality of gut (ileocolic anastomosis in 4, diverticulosis in 1, intestinal hypomotility due to scleroderma in 1 and diabetic autonomic neuropathy and hypothyroidism in 1). In 12/50 patients cause of MAS could not be ascertained. The protocol of the study was approved by the ethics committee of the institute and patients gave consent for inclusion into the study.\n50 patients (age 44 ± 8.5 years, 31 males) with chronic diarrhea, weight loss and anemia diagnosed as having MAS attending Luminal Gastroenterology Clinic of our department were studied. Diagnosis of MAS was established by abnormal D-xylose test (< 1 g/5 g/5 h) with or without abnormal 24-h fecal fat estimation (≥ 7 g/d) while on fat loading by Van de Kamer's technique [12]. The clinical details of these patients have been reported elsewhere [6,13,14]. No patient received antibiotics within 8 weeks preceding the study. The criteria used for diagnosis of various causes of MAS were as follows: Celiac disease, a) presence of anti-endomysial antibody, b) suggestive histology and c) response to gluten free diet; giardiasis, demonstration of trophozoite form of the organism in stool and/or duodenal biopsy; intestinal tuberculosis, a) demonstration of acid fast bacilli in intestine or extra-intestinal site and b) response to therapy; strongyloidiasis, demonstration of the parasite in intestinal biopsy and/or stool microscopy; intestinal lymphangiectasia, dilated lymphatic channels in subepithelial location in intestinal biopsy; acquired immunodeficiency syndrome by serology; hypogammaglobulinemia by serum immunoglobulin estimation; TS, a) no specific cause for MAS and, b) persistent response to tetracycline and folic acid.\nThe diagnoses of patients included in this study were as follows, tropical sprue (16), celiac disease (5), intestinal tuberculosis (3), panhypogammaglobulinemia (2) one of whom had strogyloidiasis, selective IgA deficiency (1), acquired immunodeficiency syndrome (1), giardiasis (2) and intestinal lymphangiectasia (1). Seven patients had SIBO secondary to either structural lesions or motility abnormality of gut (ileocolic anastomosis in 4, diverticulosis in 1, intestinal hypomotility due to scleroderma in 1 and diabetic autonomic neuropathy and hypothyroidism in 1). In 12/50 patients cause of MAS could not be ascertained. The protocol of the study was approved by the ethics committee of the institute and patients gave consent for inclusion into the study.\n Controls 12 patients with constipation predominant irritable bowel syndrome (IBS) diagnosed by Rome criteria [15] were used as controls. Clinical details of these patients have been reported elsewhere [6]. No patient with IBS had biochemical evidence of MAS [normal D-xylose test (≥ 1/g/5 g/5 h) and fecal fat estimation by Sudan III stain of spot stool specimen (< 10 droplets/high power field)]. Endoscopic jejunal biopsy was normal in them. None of them had received antibiotics, pro or anti-motility and anti-secretory drugs within 8 weeks preceding the study.\n12 patients with constipation predominant irritable bowel syndrome (IBS) diagnosed by Rome criteria [15] were used as controls. Clinical details of these patients have been reported elsewhere [6]. No patient with IBS had biochemical evidence of MAS [normal D-xylose test (≥ 1/g/5 g/5 h) and fecal fat estimation by Sudan III stain of spot stool specimen (< 10 droplets/high power field)]. Endoscopic jejunal biopsy was normal in them. None of them had received antibiotics, pro or anti-motility and anti-secretory drugs within 8 weeks preceding the study.\n Jejunal aspiration Jejunal aspirate was collected during jejunoscopy with a pediatric colonoscope and a catheter described earlier [13]. Briefly, the catheter assembly had an inner tube that was 3 cm longer than the outer tube. A rubber obturator blocked the mouth of the outer tube (Fig. 1). The assembly was sterilized by autoclaving. On reaching the jejunum (confirmed by fluoroscopic examination in initial few patients and by length of endoscope inserted), the catheter assembly was introduced through the biopsy channel of a sterilized pediatric colonoscope. The inner tube was then pushed beyond the tip of the outer tube once the outer tube was 4–5 cm ahead of the tip of the endoscope. This led to dislodgement of the rubber obturator from the tip of the outer tube. Jejunal aspirate was collected through the inner tube with a sterile syringe, which was used for aerobic and anaerobic bacterial culture (transported in Robertson's cooked meat medium for the latter), colony count and drug sensitivity pattern.\nAssembly used for jejunal aspiration. (a) jejunal aspiration catheter with inner tube housed inside the outer tube. The tip of the outer tube is closed with a rubber obturator. (b) Note that the rubber obturator has been dislodged after inner tube has been pushed to come out from the tip of the outer tube. (c) Robertson's cooked meat media used to transport jejunal aspirate for anaerobic culture. (d) Sterile tube used to transport jejunal aspirate for aerobic culture.\nJejunal aspirate was collected during jejunoscopy with a pediatric colonoscope and a catheter described earlier [13]. Briefly, the catheter assembly had an inner tube that was 3 cm longer than the outer tube. A rubber obturator blocked the mouth of the outer tube (Fig. 1). The assembly was sterilized by autoclaving. On reaching the jejunum (confirmed by fluoroscopic examination in initial few patients and by length of endoscope inserted), the catheter assembly was introduced through the biopsy channel of a sterilized pediatric colonoscope. The inner tube was then pushed beyond the tip of the outer tube once the outer tube was 4–5 cm ahead of the tip of the endoscope. This led to dislodgement of the rubber obturator from the tip of the outer tube. Jejunal aspirate was collected through the inner tube with a sterile syringe, which was used for aerobic and anaerobic bacterial culture (transported in Robertson's cooked meat medium for the latter), colony count and drug sensitivity pattern.\nAssembly used for jejunal aspiration. (a) jejunal aspiration catheter with inner tube housed inside the outer tube. The tip of the outer tube is closed with a rubber obturator. (b) Note that the rubber obturator has been dislodged after inner tube has been pushed to come out from the tip of the outer tube. (c) Robertson's cooked meat media used to transport jejunal aspirate for anaerobic culture. (d) Sterile tube used to transport jejunal aspirate for aerobic culture.\n Bacteriological studies Smears were prepared from jejunal aspirates, fixed, Gram stained and examined for presence of Gram positive and negative organisms. Bacterial species were cultured and isolated using standard techniques [16]. Briefly, for aerobic culture, samples were homogenized by vortexing and then diluted serially with sterile distilled water. Dilutions from 5 × 10-1 to 5 × 10-4 were prepared. Aliquots of non-diluted sample and each dilution (100 μl each) were plated on blood agar and MacConkey agar. After 24 to 48-h incubation at 37°C, colonies were counted and bacterial species identified using standard techniques [16,17]. Dilutions were made in Robertson's cooked meat broth for anaerobic culture. Undiluted sample and each dilution (100 μl each) were subcultured on Wilkins-Chalgren agar. For anaerobic culture anaerobic jars (McIntosh) were used. For gassing the culture evacuation replacement system (Anoxomate, Mart-Netherland) was used. The standard anaerobic recipe has 3 evacuation replacement cycles. In the first evacuation phase of the standard anaerobic culture 80% of the jar volume was evacuated. The anoxomate achieves this with high accuracy due to high precision pressure sensor. In the successive replacement, the jar was filled with oxygen free gas mixture (Nitrogen). The jar was finally filled with a gas mixture containing 80%-90% nitrogen, 5%-10% hydrogen and carbon dioxide. Strains of Clostridium difficile, Clostridium perfringens, Bacteroides fragilis and gram negative cocci were used as positive control with each batch. Pseudomonas aeruginosa was used as negative control. Cultures were examined for bacterial growth after incubation for 48-h and if negative, after 5 days at 37°C in an anaerobic chamber. In case of bacterial growth, colonies were counted and bacterial species identified using standard techniques. Rogosa agar was used [16] for lactobacilli and was incubated in anaerobic conditions. Bacterial counts were expressed as logarithm of colony forming units per ml of jejunal fluid. Total bacterial colonies and count of each species were obtained.\nSmears were prepared from jejunal aspirates, fixed, Gram stained and examined for presence of Gram positive and negative organisms. Bacterial species were cultured and isolated using standard techniques [16]. Briefly, for aerobic culture, samples were homogenized by vortexing and then diluted serially with sterile distilled water. Dilutions from 5 × 10-1 to 5 × 10-4 were prepared. Aliquots of non-diluted sample and each dilution (100 μl each) were plated on blood agar and MacConkey agar. After 24 to 48-h incubation at 37°C, colonies were counted and bacterial species identified using standard techniques [16,17]. Dilutions were made in Robertson's cooked meat broth for anaerobic culture. Undiluted sample and each dilution (100 μl each) were subcultured on Wilkins-Chalgren agar. For anaerobic culture anaerobic jars (McIntosh) were used. For gassing the culture evacuation replacement system (Anoxomate, Mart-Netherland) was used. The standard anaerobic recipe has 3 evacuation replacement cycles. In the first evacuation phase of the standard anaerobic culture 80% of the jar volume was evacuated. The anoxomate achieves this with high accuracy due to high precision pressure sensor. In the successive replacement, the jar was filled with oxygen free gas mixture (Nitrogen). The jar was finally filled with a gas mixture containing 80%-90% nitrogen, 5%-10% hydrogen and carbon dioxide. Strains of Clostridium difficile, Clostridium perfringens, Bacteroides fragilis and gram negative cocci were used as positive control with each batch. Pseudomonas aeruginosa was used as negative control. Cultures were examined for bacterial growth after incubation for 48-h and if negative, after 5 days at 37°C in an anaerobic chamber. In case of bacterial growth, colonies were counted and bacterial species identified using standard techniques. Rogosa agar was used [16] for lactobacilli and was incubated in anaerobic conditions. Bacterial counts were expressed as logarithm of colony forming units per ml of jejunal fluid. Total bacterial colonies and count of each species were obtained.\n Antibiotic sensitivity All bacterial strains were subjected to in vitro antibiotic sensitivity test. Antibiotic discs (Himedia, Mumbai, India), namely ampicillin (10 μg), ampicillin and salbactum (10 μg each), tetracycline (30 μg), co-trimoxazole (trimethoprim / sulfamethoxazole 1.25 / 23.75 μg), erythromycin (15 μg), norfloxacin (10 μg), ciprofloxacin (5 μg) and cephalexin (30 μg) were used. We chose these antibiotics as these are orally administered and therefore, are likely to be preferred by the clinicians in the treatment of SIBO. The antibiotic discs were stored at 4°C before use. Antibiotic sensitivity test was performed by modified Stoke's method [17]. Briefly, Muller Hinton's agar was prepared and its pH was adjusted to 7.3. It was poured to a depth of 4 mm on flat-bottomed 9-cm petri dishes. These were dried before use. The area of petri dish was arbitrarily divided into three parts, central area for control organisms and two areas on either side of it, for test organisms. The control organisms consisted of Escherichia coli [National Collection of Type Culture (NCTC) 10418], Staphylococcus aureus (NCTC 6571) and Pseudomonas aeruginosa (NCTC 10662) for coliforms, Staphylococcus and pseudomonads respectively. An inoculum of the test organism was prepared by emulsifying part of the growth from each of 5 similar colonies in saline. Turbidity of the suspension was adjusted to 0.5 McFarland standard spectrophotometrically at 530 nm wavelength. Overnight incubation of this inoculum produced semi-confluent growth. Sterile cotton swabs were impregnated with the test and control organisms separately. These swabs were used to inoculate the specified areas of the petri dishes with test and control organisms. A gap of 2–3 mm was left between test and control strains. Antibiotic discs were applied with light pressure on the agar surface using flamed forceps after the inoculum had dried. The petri dishes were incubated at 37°C for 16 to 18-h.\nThe radial width of the zones outside the antibiotic discs was measured in mm. The zones of inhibition of the test organisms were compared with those of control strains. The results were interpreted based on measurement of zone of inhibition (mm) in test organisms as compared with the controls as follows: (a) sensitive: equal to, greater than or not less than 3-mm as compared with controls, (b) intermediate: ≥ 2-mm but smaller than controls by >3-mm, (c) resistant: ≤ 2-mm.\nAll bacterial strains were subjected to in vitro antibiotic sensitivity test. Antibiotic discs (Himedia, Mumbai, India), namely ampicillin (10 μg), ampicillin and salbactum (10 μg each), tetracycline (30 μg), co-trimoxazole (trimethoprim / sulfamethoxazole 1.25 / 23.75 μg), erythromycin (15 μg), norfloxacin (10 μg), ciprofloxacin (5 μg) and cephalexin (30 μg) were used. We chose these antibiotics as these are orally administered and therefore, are likely to be preferred by the clinicians in the treatment of SIBO. The antibiotic discs were stored at 4°C before use. Antibiotic sensitivity test was performed by modified Stoke's method [17]. Briefly, Muller Hinton's agar was prepared and its pH was adjusted to 7.3. It was poured to a depth of 4 mm on flat-bottomed 9-cm petri dishes. These were dried before use. The area of petri dish was arbitrarily divided into three parts, central area for control organisms and two areas on either side of it, for test organisms. The control organisms consisted of Escherichia coli [National Collection of Type Culture (NCTC) 10418], Staphylococcus aureus (NCTC 6571) and Pseudomonas aeruginosa (NCTC 10662) for coliforms, Staphylococcus and pseudomonads respectively. An inoculum of the test organism was prepared by emulsifying part of the growth from each of 5 similar colonies in saline. Turbidity of the suspension was adjusted to 0.5 McFarland standard spectrophotometrically at 530 nm wavelength. Overnight incubation of this inoculum produced semi-confluent growth. Sterile cotton swabs were impregnated with the test and control organisms separately. These swabs were used to inoculate the specified areas of the petri dishes with test and control organisms. A gap of 2–3 mm was left between test and control strains. Antibiotic discs were applied with light pressure on the agar surface using flamed forceps after the inoculum had dried. The petri dishes were incubated at 37°C for 16 to 18-h.\nThe radial width of the zones outside the antibiotic discs was measured in mm. The zones of inhibition of the test organisms were compared with those of control strains. The results were interpreted based on measurement of zone of inhibition (mm) in test organisms as compared with the controls as follows: (a) sensitive: equal to, greater than or not less than 3-mm as compared with controls, (b) intermediate: ≥ 2-mm but smaller than controls by >3-mm, (c) resistant: ≤ 2-mm.\n Statistical analysis Nominal variables were analyzed by Chi-square test with Yates' correction as applicable. Numerical variables were analyzed by Mann-Whitney U test as the data were not expected to have normal distribution. A p value of < 0.05 was considered as significant.\nNominal variables were analyzed by Chi-square test with Yates' correction as applicable. Numerical variables were analyzed by Mann-Whitney U test as the data were not expected to have normal distribution. A p value of < 0.05 was considered as significant.", "50 patients (age 44 ± 8.5 years, 31 males) with chronic diarrhea, weight loss and anemia diagnosed as having MAS attending Luminal Gastroenterology Clinic of our department were studied. Diagnosis of MAS was established by abnormal D-xylose test (< 1 g/5 g/5 h) with or without abnormal 24-h fecal fat estimation (≥ 7 g/d) while on fat loading by Van de Kamer's technique [12]. The clinical details of these patients have been reported elsewhere [6,13,14]. No patient received antibiotics within 8 weeks preceding the study. The criteria used for diagnosis of various causes of MAS were as follows: Celiac disease, a) presence of anti-endomysial antibody, b) suggestive histology and c) response to gluten free diet; giardiasis, demonstration of trophozoite form of the organism in stool and/or duodenal biopsy; intestinal tuberculosis, a) demonstration of acid fast bacilli in intestine or extra-intestinal site and b) response to therapy; strongyloidiasis, demonstration of the parasite in intestinal biopsy and/or stool microscopy; intestinal lymphangiectasia, dilated lymphatic channels in subepithelial location in intestinal biopsy; acquired immunodeficiency syndrome by serology; hypogammaglobulinemia by serum immunoglobulin estimation; TS, a) no specific cause for MAS and, b) persistent response to tetracycline and folic acid.\nThe diagnoses of patients included in this study were as follows, tropical sprue (16), celiac disease (5), intestinal tuberculosis (3), panhypogammaglobulinemia (2) one of whom had strogyloidiasis, selective IgA deficiency (1), acquired immunodeficiency syndrome (1), giardiasis (2) and intestinal lymphangiectasia (1). Seven patients had SIBO secondary to either structural lesions or motility abnormality of gut (ileocolic anastomosis in 4, diverticulosis in 1, intestinal hypomotility due to scleroderma in 1 and diabetic autonomic neuropathy and hypothyroidism in 1). In 12/50 patients cause of MAS could not be ascertained. The protocol of the study was approved by the ethics committee of the institute and patients gave consent for inclusion into the study.", "12 patients with constipation predominant irritable bowel syndrome (IBS) diagnosed by Rome criteria [15] were used as controls. Clinical details of these patients have been reported elsewhere [6]. No patient with IBS had biochemical evidence of MAS [normal D-xylose test (≥ 1/g/5 g/5 h) and fecal fat estimation by Sudan III stain of spot stool specimen (< 10 droplets/high power field)]. Endoscopic jejunal biopsy was normal in them. None of them had received antibiotics, pro or anti-motility and anti-secretory drugs within 8 weeks preceding the study.", "Jejunal aspirate was collected during jejunoscopy with a pediatric colonoscope and a catheter described earlier [13]. Briefly, the catheter assembly had an inner tube that was 3 cm longer than the outer tube. A rubber obturator blocked the mouth of the outer tube (Fig. 1). The assembly was sterilized by autoclaving. On reaching the jejunum (confirmed by fluoroscopic examination in initial few patients and by length of endoscope inserted), the catheter assembly was introduced through the biopsy channel of a sterilized pediatric colonoscope. The inner tube was then pushed beyond the tip of the outer tube once the outer tube was 4–5 cm ahead of the tip of the endoscope. This led to dislodgement of the rubber obturator from the tip of the outer tube. Jejunal aspirate was collected through the inner tube with a sterile syringe, which was used for aerobic and anaerobic bacterial culture (transported in Robertson's cooked meat medium for the latter), colony count and drug sensitivity pattern.\nAssembly used for jejunal aspiration. (a) jejunal aspiration catheter with inner tube housed inside the outer tube. The tip of the outer tube is closed with a rubber obturator. (b) Note that the rubber obturator has been dislodged after inner tube has been pushed to come out from the tip of the outer tube. (c) Robertson's cooked meat media used to transport jejunal aspirate for anaerobic culture. (d) Sterile tube used to transport jejunal aspirate for aerobic culture.", "Smears were prepared from jejunal aspirates, fixed, Gram stained and examined for presence of Gram positive and negative organisms. Bacterial species were cultured and isolated using standard techniques [16]. Briefly, for aerobic culture, samples were homogenized by vortexing and then diluted serially with sterile distilled water. Dilutions from 5 × 10-1 to 5 × 10-4 were prepared. Aliquots of non-diluted sample and each dilution (100 μl each) were plated on blood agar and MacConkey agar. After 24 to 48-h incubation at 37°C, colonies were counted and bacterial species identified using standard techniques [16,17]. Dilutions were made in Robertson's cooked meat broth for anaerobic culture. Undiluted sample and each dilution (100 μl each) were subcultured on Wilkins-Chalgren agar. For anaerobic culture anaerobic jars (McIntosh) were used. For gassing the culture evacuation replacement system (Anoxomate, Mart-Netherland) was used. The standard anaerobic recipe has 3 evacuation replacement cycles. In the first evacuation phase of the standard anaerobic culture 80% of the jar volume was evacuated. The anoxomate achieves this with high accuracy due to high precision pressure sensor. In the successive replacement, the jar was filled with oxygen free gas mixture (Nitrogen). The jar was finally filled with a gas mixture containing 80%-90% nitrogen, 5%-10% hydrogen and carbon dioxide. Strains of Clostridium difficile, Clostridium perfringens, Bacteroides fragilis and gram negative cocci were used as positive control with each batch. Pseudomonas aeruginosa was used as negative control. Cultures were examined for bacterial growth after incubation for 48-h and if negative, after 5 days at 37°C in an anaerobic chamber. In case of bacterial growth, colonies were counted and bacterial species identified using standard techniques. Rogosa agar was used [16] for lactobacilli and was incubated in anaerobic conditions. Bacterial counts were expressed as logarithm of colony forming units per ml of jejunal fluid. Total bacterial colonies and count of each species were obtained.", "All bacterial strains were subjected to in vitro antibiotic sensitivity test. Antibiotic discs (Himedia, Mumbai, India), namely ampicillin (10 μg), ampicillin and salbactum (10 μg each), tetracycline (30 μg), co-trimoxazole (trimethoprim / sulfamethoxazole 1.25 / 23.75 μg), erythromycin (15 μg), norfloxacin (10 μg), ciprofloxacin (5 μg) and cephalexin (30 μg) were used. We chose these antibiotics as these are orally administered and therefore, are likely to be preferred by the clinicians in the treatment of SIBO. The antibiotic discs were stored at 4°C before use. Antibiotic sensitivity test was performed by modified Stoke's method [17]. Briefly, Muller Hinton's agar was prepared and its pH was adjusted to 7.3. It was poured to a depth of 4 mm on flat-bottomed 9-cm petri dishes. These were dried before use. The area of petri dish was arbitrarily divided into three parts, central area for control organisms and two areas on either side of it, for test organisms. The control organisms consisted of Escherichia coli [National Collection of Type Culture (NCTC) 10418], Staphylococcus aureus (NCTC 6571) and Pseudomonas aeruginosa (NCTC 10662) for coliforms, Staphylococcus and pseudomonads respectively. An inoculum of the test organism was prepared by emulsifying part of the growth from each of 5 similar colonies in saline. Turbidity of the suspension was adjusted to 0.5 McFarland standard spectrophotometrically at 530 nm wavelength. Overnight incubation of this inoculum produced semi-confluent growth. Sterile cotton swabs were impregnated with the test and control organisms separately. These swabs were used to inoculate the specified areas of the petri dishes with test and control organisms. A gap of 2–3 mm was left between test and control strains. Antibiotic discs were applied with light pressure on the agar surface using flamed forceps after the inoculum had dried. The petri dishes were incubated at 37°C for 16 to 18-h.\nThe radial width of the zones outside the antibiotic discs was measured in mm. The zones of inhibition of the test organisms were compared with those of control strains. The results were interpreted based on measurement of zone of inhibition (mm) in test organisms as compared with the controls as follows: (a) sensitive: equal to, greater than or not less than 3-mm as compared with controls, (b) intermediate: ≥ 2-mm but smaller than controls by >3-mm, (c) resistant: ≤ 2-mm.", "Nominal variables were analyzed by Chi-square test with Yates' correction as applicable. Numerical variables were analyzed by Mann-Whitney U test as the data were not expected to have normal distribution. A p value of < 0.05 was considered as significant.", " Gram staining Gram positive cocci were found in 8/50, Gram negative bacilli in 13/50 and both Gram positive cocci and negative bacilli in 7/50 patients with MAS. In other 22 patients Gram staining did not show any bacteria.\nGram positive cocci were found in 8/50, Gram negative bacilli in 13/50 and both Gram positive cocci and negative bacilli in 7/50 patients with MAS. In other 22 patients Gram staining did not show any bacteria.\n Frequency, nature of the bacteria and colony count Culture revealed growth of bacteria in 34/50 (68%) patients with MAS and 3/12 patients with IBS (p < 0.05). Total colony count ranged from 3 × 102 to 1 × 1015 colony forming unit (CFU)/ml (median 105) in MAS and 100–1000 (median 700) CFU/ml in patients with IBS (p 0.003); 21/50 (42%) patients had with MAS and none of 12 with IBS had colony count ≥105 CFU/ml (p < 0.05). In patients with MAS, aerobes were isolated in 34/34 and anaerobe in 1/34 with positive culture. Two bacterial species were grown in jejunal aspirate of 13 patients and three bacterial species in one patient. In the remaining 20 patients, growth of a single bacterial species was obtained. Frequency of isolation of different bacteria and colony count of each species of bacteria in patients with MAS are shown in table 1. ≥105 CFU/mL bacteria grew in 6/16 patients with TS, 2/5 with celiac disease, 1/3 with intestinal tuberculosis, 1/1 with panhypogammaglobulinemia and Strongyloidiasis, 1/1 with selective IgA deficiency, all seven with SIBO secondary to structural and motility abnormality and 3/12 with MAS without a known cause.\nFrequency of isolation and colony counts of different bacteria in patients with malabsorption syndrome.\n*Jejunal aspirate of 20 patients grew one, 13 two and one three bacterial species.\nCulture revealed growth of bacteria in 34/50 (68%) patients with MAS and 3/12 patients with IBS (p < 0.05). Total colony count ranged from 3 × 102 to 1 × 1015 colony forming unit (CFU)/ml (median 105) in MAS and 100–1000 (median 700) CFU/ml in patients with IBS (p 0.003); 21/50 (42%) patients had with MAS and none of 12 with IBS had colony count ≥105 CFU/ml (p < 0.05). In patients with MAS, aerobes were isolated in 34/34 and anaerobe in 1/34 with positive culture. Two bacterial species were grown in jejunal aspirate of 13 patients and three bacterial species in one patient. In the remaining 20 patients, growth of a single bacterial species was obtained. Frequency of isolation of different bacteria and colony count of each species of bacteria in patients with MAS are shown in table 1. ≥105 CFU/mL bacteria grew in 6/16 patients with TS, 2/5 with celiac disease, 1/3 with intestinal tuberculosis, 1/1 with panhypogammaglobulinemia and Strongyloidiasis, 1/1 with selective IgA deficiency, all seven with SIBO secondary to structural and motility abnormality and 3/12 with MAS without a known cause.\nFrequency of isolation and colony counts of different bacteria in patients with malabsorption syndrome.\n*Jejunal aspirate of 20 patients grew one, 13 two and one three bacterial species.\n Sensitivity testing In vitro sensitivity to commonly used orally absorbed antibiotics showed (table 2) that bacteria isolated from small bowel were more often sensitive to quinolones (ciprofloxacin and norfloxacin) than to tetracycline (39/47 and 34/47 vs 19/47, p < 0.0001 and <0.01, respectively); it is important to note that tetracycline is commonly used to treat chronic diarrhoea and malabsorption associated with bacterial contamination of small bowel [10,11]. There was no difference in sensitivity to ampicillin, erythromycin, co-trimoxazole with that of tetracycline (21/44, 14/22 and 24/47 vs. 19/47, p = ns). 30/44 and 25/40 bacterial species were sensitive to ampicillin and sulbactam combination and cephalexin respectively.\nSensitivity of the bacteria isolated from jejunal aspirate to various antibiotics.\nFigures within parenthesis indicate percentages. NT: not tested. *p < 0.01; $p < 0.0001 (Chi-squared test)\nIn vitro sensitivity to commonly used orally absorbed antibiotics showed (table 2) that bacteria isolated from small bowel were more often sensitive to quinolones (ciprofloxacin and norfloxacin) than to tetracycline (39/47 and 34/47 vs 19/47, p < 0.0001 and <0.01, respectively); it is important to note that tetracycline is commonly used to treat chronic diarrhoea and malabsorption associated with bacterial contamination of small bowel [10,11]. There was no difference in sensitivity to ampicillin, erythromycin, co-trimoxazole with that of tetracycline (21/44, 14/22 and 24/47 vs. 19/47, p = ns). 30/44 and 25/40 bacterial species were sensitive to ampicillin and sulbactam combination and cephalexin respectively.\nSensitivity of the bacteria isolated from jejunal aspirate to various antibiotics.\nFigures within parenthesis indicate percentages. NT: not tested. *p < 0.01; $p < 0.0001 (Chi-squared test)", "Gram positive cocci were found in 8/50, Gram negative bacilli in 13/50 and both Gram positive cocci and negative bacilli in 7/50 patients with MAS. In other 22 patients Gram staining did not show any bacteria.", "Culture revealed growth of bacteria in 34/50 (68%) patients with MAS and 3/12 patients with IBS (p < 0.05). Total colony count ranged from 3 × 102 to 1 × 1015 colony forming unit (CFU)/ml (median 105) in MAS and 100–1000 (median 700) CFU/ml in patients with IBS (p 0.003); 21/50 (42%) patients had with MAS and none of 12 with IBS had colony count ≥105 CFU/ml (p < 0.05). In patients with MAS, aerobes were isolated in 34/34 and anaerobe in 1/34 with positive culture. Two bacterial species were grown in jejunal aspirate of 13 patients and three bacterial species in one patient. In the remaining 20 patients, growth of a single bacterial species was obtained. Frequency of isolation of different bacteria and colony count of each species of bacteria in patients with MAS are shown in table 1. ≥105 CFU/mL bacteria grew in 6/16 patients with TS, 2/5 with celiac disease, 1/3 with intestinal tuberculosis, 1/1 with panhypogammaglobulinemia and Strongyloidiasis, 1/1 with selective IgA deficiency, all seven with SIBO secondary to structural and motility abnormality and 3/12 with MAS without a known cause.\nFrequency of isolation and colony counts of different bacteria in patients with malabsorption syndrome.\n*Jejunal aspirate of 20 patients grew one, 13 two and one three bacterial species.", "In vitro sensitivity to commonly used orally absorbed antibiotics showed (table 2) that bacteria isolated from small bowel were more often sensitive to quinolones (ciprofloxacin and norfloxacin) than to tetracycline (39/47 and 34/47 vs 19/47, p < 0.0001 and <0.01, respectively); it is important to note that tetracycline is commonly used to treat chronic diarrhoea and malabsorption associated with bacterial contamination of small bowel [10,11]. There was no difference in sensitivity to ampicillin, erythromycin, co-trimoxazole with that of tetracycline (21/44, 14/22 and 24/47 vs. 19/47, p = ns). 30/44 and 25/40 bacterial species were sensitive to ampicillin and sulbactam combination and cephalexin respectively.\nSensitivity of the bacteria isolated from jejunal aspirate to various antibiotics.\nFigures within parenthesis indicate percentages. NT: not tested. *p < 0.01; $p < 0.0001 (Chi-squared test)", "In this study we found that the spectrum of bacteria isolated from upper small bowel in patients with malabsorption syndrome from the tropics are somewhat similar to that reported from the west [9]; these bacteria are often resistant to tetracycline, co-trimoxazole, ampicillin and sensitive to quinolones. Therefore, our data suggest the need for undertaking randomized controlled trial of these orally administered antibiotics in the treatment of SIBO and contaminated small bowel syndrome in the tropics.\nWe have shown that SIBO was common in MAS due to any cause (e.g. TS, celiac disease, parasitic infestation, immunodeficiency states) and resulted from both Gram positive and Gram negative bacteria. SIBO was diagnosed using standard definition (≥105 CFU/ml bacteria in jejunal aspirate) [1]. Predominant Gram positive organism was streptococcus species and the predominant Gram negative organism was Escherichia coli. This is accordance with the earlier report from the west [9]. Anaerobes were infrequently found in our study. This might be related to the fastidious nature of anaerobes and failure to grow even on exposure to small quantity of oxygen [18]. Other reasons could be related to differences in patient population included in our study. We studied patients with MAS due to other primary causes; in contrast, earlier studies included patients with SIBO syndrome [9]. Lower colony counts of aerobes could be the other reason for lower frequency of anaerobes as aerobes utilize oxygen and help in growth of anaerobes [19]. Several isolated studies documented SIBO either using microbiological techniques or glucose hydrogen breath test in patients with celiac disease [20], TS [6], parasitic infestation of small bowel [7,13] and hypogammaglobulinemia [21]. In this study we documented frequent occurrence of SIBO in patients with various causes of MAS as a group. Such secondary SIBO in patients with another cause of MAS may have clinical significance as it can further compound malabsorption of nutrients in addition to the primary disease contributing to it. Studies from Burma suggested SIBO as a cause of malnutrition in pediatric population [22,23]. Secondly, at times a transient response to antibiotics resulting from eradication of such secondary SIBO may mislead the clinician trying to establish the diagnosis of etiology of MAS.\nWe found frequent resistance to the drugs that are often used in the treatment of SIBO syndrome. Over half of bacteria were resistant to tetracycline, the drug that has been considered as the first line antibiotic in the treatment of SIBO when not guided by antibiogram [11], a quite common practice. Most strains were also resistant to the combination of trimethoprim-sulfamethoxazole. This is in contrast to the earlier western report showing infrequent resistance to most antibiotics [9]. These discrepancies might be explained by differing practice of antibiotic use in different countries. Frequent resistance to commonly used antibiotics in India might owe to over the counter availability and frequent unnecessary use of these antibiotics. In the present study, we deliberately chose to report sensitivity patterns of orally used antibiotics as parenteral antibiotics are rarely used in treatment of SIBO. Most of bacteria isolated were sensitive to both ciprofloxacin and norfloxacin. However, we believe that norfloxacin may be preferred over ciprofloxacin, since norfloxacin has low systemic absorption [24] and therefore, may have infrequent side effects and may be safe particularly during pregnancy. Patients with SIBO often need long-term and repeated courses of antibiotics [25] and therefore, those with lesser toxicity and lower systemic absorption would be preferred. However, this needs to be proved by randomized controlled trial. A recent randomized cross over study on ten patients with SIBO from developed countries documented efficacy of norfloxacin in reducing diarrhoea and breath hydrogen [26].\nIn conclusion, SIBO is common in patients with malabsorption syndrome due various causes in the tropics and norfloxacin may be considered in its treatment. Our in vitro data also serve as a starting point for further randomized controlled trial of norfloxacin in treatment of SIBO." ]
[ null, "methods", null, null, null, null, null, null, null, null, null, null, null ]
[ "Small bowel bacterial overgrowth", "jejunal aspirate culture", "gut flora", "India", "antibiogram", "tropical sprue" ]
Background: Small intestinal bacterial overgrowth syndrome (SIBO) is defined as overgrowth of ≥105 colony forming unit (CFU) per ml of bacteria in the proximal small bowel [1]. Some authors considered a diagnosis of SIBO even with a lower colony count (≥ 103 CFU/ml) if the species of bacteria isolated in jejunal aspirate were those which, colonize large bowel [2,3]. Various anatomical lesions of small bowel and slowing of its motility may lead to bacterial overgrowth [4]. Several specific diseases e.g. celiac disease, tropical sprue (TS) and parasitic infestations have been shown to reduce intestinal motility [5-7]. Classic radiological findings of 'segmentation', 'flocculation' and dilatation of small bowel in barium series in patients with malabsorption are secondary to intestinal stasis [8]. Therefore, patients with specific causes of MAS like TS, celiac disease, parasitic infestations are also prone to SIBO. Frequency, nature and clinical significance of SIBO in patients without any other known cause of malabsorption syndrome (MAS, e.g. TS, celiac disease) are well established. Despite description of small bowel stasis in patients with various known causes of MAS, reports on frequency, nature and antibiotic sensitivity of SIBO in these patients are scant. We hypothesize that patients with MAS, irrespective of etiology, might have SIBO. Studies on bacterial population contaminating upper gut and their antibiotic sensitivity pattern from developed countries are sparse [9,10]. Sensitivity of these bacteria to currently available antibiotics has been reported only once [9]. There is no study on spectrum of bacteria and their sensitivity pattern to various antibiotics in patients with MAS from developing countries. SIBO is often treated with repeated courses of antibiotics. Tetracycline was the mainstay of therapy for SIBO in past [11]. With the availability of several newer safe, effective and non-absorbable antibiotics, studying in vitro sensitivity of bacteria isolated from small bowel of these patients to such antibiotics appears worthwhile. Accordingly, we undertook this study prospectively. Methods: Patients 50 patients (age 44 ± 8.5 years, 31 males) with chronic diarrhea, weight loss and anemia diagnosed as having MAS attending Luminal Gastroenterology Clinic of our department were studied. Diagnosis of MAS was established by abnormal D-xylose test (< 1 g/5 g/5 h) with or without abnormal 24-h fecal fat estimation (≥ 7 g/d) while on fat loading by Van de Kamer's technique [12]. The clinical details of these patients have been reported elsewhere [6,13,14]. No patient received antibiotics within 8 weeks preceding the study. The criteria used for diagnosis of various causes of MAS were as follows: Celiac disease, a) presence of anti-endomysial antibody, b) suggestive histology and c) response to gluten free diet; giardiasis, demonstration of trophozoite form of the organism in stool and/or duodenal biopsy; intestinal tuberculosis, a) demonstration of acid fast bacilli in intestine or extra-intestinal site and b) response to therapy; strongyloidiasis, demonstration of the parasite in intestinal biopsy and/or stool microscopy; intestinal lymphangiectasia, dilated lymphatic channels in subepithelial location in intestinal biopsy; acquired immunodeficiency syndrome by serology; hypogammaglobulinemia by serum immunoglobulin estimation; TS, a) no specific cause for MAS and, b) persistent response to tetracycline and folic acid. The diagnoses of patients included in this study were as follows, tropical sprue (16), celiac disease (5), intestinal tuberculosis (3), panhypogammaglobulinemia (2) one of whom had strogyloidiasis, selective IgA deficiency (1), acquired immunodeficiency syndrome (1), giardiasis (2) and intestinal lymphangiectasia (1). Seven patients had SIBO secondary to either structural lesions or motility abnormality of gut (ileocolic anastomosis in 4, diverticulosis in 1, intestinal hypomotility due to scleroderma in 1 and diabetic autonomic neuropathy and hypothyroidism in 1). In 12/50 patients cause of MAS could not be ascertained. The protocol of the study was approved by the ethics committee of the institute and patients gave consent for inclusion into the study. 50 patients (age 44 ± 8.5 years, 31 males) with chronic diarrhea, weight loss and anemia diagnosed as having MAS attending Luminal Gastroenterology Clinic of our department were studied. Diagnosis of MAS was established by abnormal D-xylose test (< 1 g/5 g/5 h) with or without abnormal 24-h fecal fat estimation (≥ 7 g/d) while on fat loading by Van de Kamer's technique [12]. The clinical details of these patients have been reported elsewhere [6,13,14]. No patient received antibiotics within 8 weeks preceding the study. The criteria used for diagnosis of various causes of MAS were as follows: Celiac disease, a) presence of anti-endomysial antibody, b) suggestive histology and c) response to gluten free diet; giardiasis, demonstration of trophozoite form of the organism in stool and/or duodenal biopsy; intestinal tuberculosis, a) demonstration of acid fast bacilli in intestine or extra-intestinal site and b) response to therapy; strongyloidiasis, demonstration of the parasite in intestinal biopsy and/or stool microscopy; intestinal lymphangiectasia, dilated lymphatic channels in subepithelial location in intestinal biopsy; acquired immunodeficiency syndrome by serology; hypogammaglobulinemia by serum immunoglobulin estimation; TS, a) no specific cause for MAS and, b) persistent response to tetracycline and folic acid. The diagnoses of patients included in this study were as follows, tropical sprue (16), celiac disease (5), intestinal tuberculosis (3), panhypogammaglobulinemia (2) one of whom had strogyloidiasis, selective IgA deficiency (1), acquired immunodeficiency syndrome (1), giardiasis (2) and intestinal lymphangiectasia (1). Seven patients had SIBO secondary to either structural lesions or motility abnormality of gut (ileocolic anastomosis in 4, diverticulosis in 1, intestinal hypomotility due to scleroderma in 1 and diabetic autonomic neuropathy and hypothyroidism in 1). In 12/50 patients cause of MAS could not be ascertained. The protocol of the study was approved by the ethics committee of the institute and patients gave consent for inclusion into the study. Controls 12 patients with constipation predominant irritable bowel syndrome (IBS) diagnosed by Rome criteria [15] were used as controls. Clinical details of these patients have been reported elsewhere [6]. No patient with IBS had biochemical evidence of MAS [normal D-xylose test (≥ 1/g/5 g/5 h) and fecal fat estimation by Sudan III stain of spot stool specimen (< 10 droplets/high power field)]. Endoscopic jejunal biopsy was normal in them. None of them had received antibiotics, pro or anti-motility and anti-secretory drugs within 8 weeks preceding the study. 12 patients with constipation predominant irritable bowel syndrome (IBS) diagnosed by Rome criteria [15] were used as controls. Clinical details of these patients have been reported elsewhere [6]. No patient with IBS had biochemical evidence of MAS [normal D-xylose test (≥ 1/g/5 g/5 h) and fecal fat estimation by Sudan III stain of spot stool specimen (< 10 droplets/high power field)]. Endoscopic jejunal biopsy was normal in them. None of them had received antibiotics, pro or anti-motility and anti-secretory drugs within 8 weeks preceding the study. Jejunal aspiration Jejunal aspirate was collected during jejunoscopy with a pediatric colonoscope and a catheter described earlier [13]. Briefly, the catheter assembly had an inner tube that was 3 cm longer than the outer tube. A rubber obturator blocked the mouth of the outer tube (Fig. 1). The assembly was sterilized by autoclaving. On reaching the jejunum (confirmed by fluoroscopic examination in initial few patients and by length of endoscope inserted), the catheter assembly was introduced through the biopsy channel of a sterilized pediatric colonoscope. The inner tube was then pushed beyond the tip of the outer tube once the outer tube was 4–5 cm ahead of the tip of the endoscope. This led to dislodgement of the rubber obturator from the tip of the outer tube. Jejunal aspirate was collected through the inner tube with a sterile syringe, which was used for aerobic and anaerobic bacterial culture (transported in Robertson's cooked meat medium for the latter), colony count and drug sensitivity pattern. Assembly used for jejunal aspiration. (a) jejunal aspiration catheter with inner tube housed inside the outer tube. The tip of the outer tube is closed with a rubber obturator. (b) Note that the rubber obturator has been dislodged after inner tube has been pushed to come out from the tip of the outer tube. (c) Robertson's cooked meat media used to transport jejunal aspirate for anaerobic culture. (d) Sterile tube used to transport jejunal aspirate for aerobic culture. Jejunal aspirate was collected during jejunoscopy with a pediatric colonoscope and a catheter described earlier [13]. Briefly, the catheter assembly had an inner tube that was 3 cm longer than the outer tube. A rubber obturator blocked the mouth of the outer tube (Fig. 1). The assembly was sterilized by autoclaving. On reaching the jejunum (confirmed by fluoroscopic examination in initial few patients and by length of endoscope inserted), the catheter assembly was introduced through the biopsy channel of a sterilized pediatric colonoscope. The inner tube was then pushed beyond the tip of the outer tube once the outer tube was 4–5 cm ahead of the tip of the endoscope. This led to dislodgement of the rubber obturator from the tip of the outer tube. Jejunal aspirate was collected through the inner tube with a sterile syringe, which was used for aerobic and anaerobic bacterial culture (transported in Robertson's cooked meat medium for the latter), colony count and drug sensitivity pattern. Assembly used for jejunal aspiration. (a) jejunal aspiration catheter with inner tube housed inside the outer tube. The tip of the outer tube is closed with a rubber obturator. (b) Note that the rubber obturator has been dislodged after inner tube has been pushed to come out from the tip of the outer tube. (c) Robertson's cooked meat media used to transport jejunal aspirate for anaerobic culture. (d) Sterile tube used to transport jejunal aspirate for aerobic culture. Bacteriological studies Smears were prepared from jejunal aspirates, fixed, Gram stained and examined for presence of Gram positive and negative organisms. Bacterial species were cultured and isolated using standard techniques [16]. Briefly, for aerobic culture, samples were homogenized by vortexing and then diluted serially with sterile distilled water. Dilutions from 5 × 10-1 to 5 × 10-4 were prepared. Aliquots of non-diluted sample and each dilution (100 μl each) were plated on blood agar and MacConkey agar. After 24 to 48-h incubation at 37°C, colonies were counted and bacterial species identified using standard techniques [16,17]. Dilutions were made in Robertson's cooked meat broth for anaerobic culture. Undiluted sample and each dilution (100 μl each) were subcultured on Wilkins-Chalgren agar. For anaerobic culture anaerobic jars (McIntosh) were used. For gassing the culture evacuation replacement system (Anoxomate, Mart-Netherland) was used. The standard anaerobic recipe has 3 evacuation replacement cycles. In the first evacuation phase of the standard anaerobic culture 80% of the jar volume was evacuated. The anoxomate achieves this with high accuracy due to high precision pressure sensor. In the successive replacement, the jar was filled with oxygen free gas mixture (Nitrogen). The jar was finally filled with a gas mixture containing 80%-90% nitrogen, 5%-10% hydrogen and carbon dioxide. Strains of Clostridium difficile, Clostridium perfringens, Bacteroides fragilis and gram negative cocci were used as positive control with each batch. Pseudomonas aeruginosa was used as negative control. Cultures were examined for bacterial growth after incubation for 48-h and if negative, after 5 days at 37°C in an anaerobic chamber. In case of bacterial growth, colonies were counted and bacterial species identified using standard techniques. Rogosa agar was used [16] for lactobacilli and was incubated in anaerobic conditions. Bacterial counts were expressed as logarithm of colony forming units per ml of jejunal fluid. Total bacterial colonies and count of each species were obtained. Smears were prepared from jejunal aspirates, fixed, Gram stained and examined for presence of Gram positive and negative organisms. Bacterial species were cultured and isolated using standard techniques [16]. Briefly, for aerobic culture, samples were homogenized by vortexing and then diluted serially with sterile distilled water. Dilutions from 5 × 10-1 to 5 × 10-4 were prepared. Aliquots of non-diluted sample and each dilution (100 μl each) were plated on blood agar and MacConkey agar. After 24 to 48-h incubation at 37°C, colonies were counted and bacterial species identified using standard techniques [16,17]. Dilutions were made in Robertson's cooked meat broth for anaerobic culture. Undiluted sample and each dilution (100 μl each) were subcultured on Wilkins-Chalgren agar. For anaerobic culture anaerobic jars (McIntosh) were used. For gassing the culture evacuation replacement system (Anoxomate, Mart-Netherland) was used. The standard anaerobic recipe has 3 evacuation replacement cycles. In the first evacuation phase of the standard anaerobic culture 80% of the jar volume was evacuated. The anoxomate achieves this with high accuracy due to high precision pressure sensor. In the successive replacement, the jar was filled with oxygen free gas mixture (Nitrogen). The jar was finally filled with a gas mixture containing 80%-90% nitrogen, 5%-10% hydrogen and carbon dioxide. Strains of Clostridium difficile, Clostridium perfringens, Bacteroides fragilis and gram negative cocci were used as positive control with each batch. Pseudomonas aeruginosa was used as negative control. Cultures were examined for bacterial growth after incubation for 48-h and if negative, after 5 days at 37°C in an anaerobic chamber. In case of bacterial growth, colonies were counted and bacterial species identified using standard techniques. Rogosa agar was used [16] for lactobacilli and was incubated in anaerobic conditions. Bacterial counts were expressed as logarithm of colony forming units per ml of jejunal fluid. Total bacterial colonies and count of each species were obtained. Antibiotic sensitivity All bacterial strains were subjected to in vitro antibiotic sensitivity test. Antibiotic discs (Himedia, Mumbai, India), namely ampicillin (10 μg), ampicillin and salbactum (10 μg each), tetracycline (30 μg), co-trimoxazole (trimethoprim / sulfamethoxazole 1.25 / 23.75 μg), erythromycin (15 μg), norfloxacin (10 μg), ciprofloxacin (5 μg) and cephalexin (30 μg) were used. We chose these antibiotics as these are orally administered and therefore, are likely to be preferred by the clinicians in the treatment of SIBO. The antibiotic discs were stored at 4°C before use. Antibiotic sensitivity test was performed by modified Stoke's method [17]. Briefly, Muller Hinton's agar was prepared and its pH was adjusted to 7.3. It was poured to a depth of 4 mm on flat-bottomed 9-cm petri dishes. These were dried before use. The area of petri dish was arbitrarily divided into three parts, central area for control organisms and two areas on either side of it, for test organisms. The control organisms consisted of Escherichia coli [National Collection of Type Culture (NCTC) 10418], Staphylococcus aureus (NCTC 6571) and Pseudomonas aeruginosa (NCTC 10662) for coliforms, Staphylococcus and pseudomonads respectively. An inoculum of the test organism was prepared by emulsifying part of the growth from each of 5 similar colonies in saline. Turbidity of the suspension was adjusted to 0.5 McFarland standard spectrophotometrically at 530 nm wavelength. Overnight incubation of this inoculum produced semi-confluent growth. Sterile cotton swabs were impregnated with the test and control organisms separately. These swabs were used to inoculate the specified areas of the petri dishes with test and control organisms. A gap of 2–3 mm was left between test and control strains. Antibiotic discs were applied with light pressure on the agar surface using flamed forceps after the inoculum had dried. The petri dishes were incubated at 37°C for 16 to 18-h. The radial width of the zones outside the antibiotic discs was measured in mm. The zones of inhibition of the test organisms were compared with those of control strains. The results were interpreted based on measurement of zone of inhibition (mm) in test organisms as compared with the controls as follows: (a) sensitive: equal to, greater than or not less than 3-mm as compared with controls, (b) intermediate: ≥ 2-mm but smaller than controls by >3-mm, (c) resistant: ≤ 2-mm. All bacterial strains were subjected to in vitro antibiotic sensitivity test. Antibiotic discs (Himedia, Mumbai, India), namely ampicillin (10 μg), ampicillin and salbactum (10 μg each), tetracycline (30 μg), co-trimoxazole (trimethoprim / sulfamethoxazole 1.25 / 23.75 μg), erythromycin (15 μg), norfloxacin (10 μg), ciprofloxacin (5 μg) and cephalexin (30 μg) were used. We chose these antibiotics as these are orally administered and therefore, are likely to be preferred by the clinicians in the treatment of SIBO. The antibiotic discs were stored at 4°C before use. Antibiotic sensitivity test was performed by modified Stoke's method [17]. Briefly, Muller Hinton's agar was prepared and its pH was adjusted to 7.3. It was poured to a depth of 4 mm on flat-bottomed 9-cm petri dishes. These were dried before use. The area of petri dish was arbitrarily divided into three parts, central area for control organisms and two areas on either side of it, for test organisms. The control organisms consisted of Escherichia coli [National Collection of Type Culture (NCTC) 10418], Staphylococcus aureus (NCTC 6571) and Pseudomonas aeruginosa (NCTC 10662) for coliforms, Staphylococcus and pseudomonads respectively. An inoculum of the test organism was prepared by emulsifying part of the growth from each of 5 similar colonies in saline. Turbidity of the suspension was adjusted to 0.5 McFarland standard spectrophotometrically at 530 nm wavelength. Overnight incubation of this inoculum produced semi-confluent growth. Sterile cotton swabs were impregnated with the test and control organisms separately. These swabs were used to inoculate the specified areas of the petri dishes with test and control organisms. A gap of 2–3 mm was left between test and control strains. Antibiotic discs were applied with light pressure on the agar surface using flamed forceps after the inoculum had dried. The petri dishes were incubated at 37°C for 16 to 18-h. The radial width of the zones outside the antibiotic discs was measured in mm. The zones of inhibition of the test organisms were compared with those of control strains. The results were interpreted based on measurement of zone of inhibition (mm) in test organisms as compared with the controls as follows: (a) sensitive: equal to, greater than or not less than 3-mm as compared with controls, (b) intermediate: ≥ 2-mm but smaller than controls by >3-mm, (c) resistant: ≤ 2-mm. Statistical analysis Nominal variables were analyzed by Chi-square test with Yates' correction as applicable. Numerical variables were analyzed by Mann-Whitney U test as the data were not expected to have normal distribution. A p value of < 0.05 was considered as significant. Nominal variables were analyzed by Chi-square test with Yates' correction as applicable. Numerical variables were analyzed by Mann-Whitney U test as the data were not expected to have normal distribution. A p value of < 0.05 was considered as significant. Patients: 50 patients (age 44 ± 8.5 years, 31 males) with chronic diarrhea, weight loss and anemia diagnosed as having MAS attending Luminal Gastroenterology Clinic of our department were studied. Diagnosis of MAS was established by abnormal D-xylose test (< 1 g/5 g/5 h) with or without abnormal 24-h fecal fat estimation (≥ 7 g/d) while on fat loading by Van de Kamer's technique [12]. The clinical details of these patients have been reported elsewhere [6,13,14]. No patient received antibiotics within 8 weeks preceding the study. The criteria used for diagnosis of various causes of MAS were as follows: Celiac disease, a) presence of anti-endomysial antibody, b) suggestive histology and c) response to gluten free diet; giardiasis, demonstration of trophozoite form of the organism in stool and/or duodenal biopsy; intestinal tuberculosis, a) demonstration of acid fast bacilli in intestine or extra-intestinal site and b) response to therapy; strongyloidiasis, demonstration of the parasite in intestinal biopsy and/or stool microscopy; intestinal lymphangiectasia, dilated lymphatic channels in subepithelial location in intestinal biopsy; acquired immunodeficiency syndrome by serology; hypogammaglobulinemia by serum immunoglobulin estimation; TS, a) no specific cause for MAS and, b) persistent response to tetracycline and folic acid. The diagnoses of patients included in this study were as follows, tropical sprue (16), celiac disease (5), intestinal tuberculosis (3), panhypogammaglobulinemia (2) one of whom had strogyloidiasis, selective IgA deficiency (1), acquired immunodeficiency syndrome (1), giardiasis (2) and intestinal lymphangiectasia (1). Seven patients had SIBO secondary to either structural lesions or motility abnormality of gut (ileocolic anastomosis in 4, diverticulosis in 1, intestinal hypomotility due to scleroderma in 1 and diabetic autonomic neuropathy and hypothyroidism in 1). In 12/50 patients cause of MAS could not be ascertained. The protocol of the study was approved by the ethics committee of the institute and patients gave consent for inclusion into the study. Controls: 12 patients with constipation predominant irritable bowel syndrome (IBS) diagnosed by Rome criteria [15] were used as controls. Clinical details of these patients have been reported elsewhere [6]. No patient with IBS had biochemical evidence of MAS [normal D-xylose test (≥ 1/g/5 g/5 h) and fecal fat estimation by Sudan III stain of spot stool specimen (< 10 droplets/high power field)]. Endoscopic jejunal biopsy was normal in them. None of them had received antibiotics, pro or anti-motility and anti-secretory drugs within 8 weeks preceding the study. Jejunal aspiration: Jejunal aspirate was collected during jejunoscopy with a pediatric colonoscope and a catheter described earlier [13]. Briefly, the catheter assembly had an inner tube that was 3 cm longer than the outer tube. A rubber obturator blocked the mouth of the outer tube (Fig. 1). The assembly was sterilized by autoclaving. On reaching the jejunum (confirmed by fluoroscopic examination in initial few patients and by length of endoscope inserted), the catheter assembly was introduced through the biopsy channel of a sterilized pediatric colonoscope. The inner tube was then pushed beyond the tip of the outer tube once the outer tube was 4–5 cm ahead of the tip of the endoscope. This led to dislodgement of the rubber obturator from the tip of the outer tube. Jejunal aspirate was collected through the inner tube with a sterile syringe, which was used for aerobic and anaerobic bacterial culture (transported in Robertson's cooked meat medium for the latter), colony count and drug sensitivity pattern. Assembly used for jejunal aspiration. (a) jejunal aspiration catheter with inner tube housed inside the outer tube. The tip of the outer tube is closed with a rubber obturator. (b) Note that the rubber obturator has been dislodged after inner tube has been pushed to come out from the tip of the outer tube. (c) Robertson's cooked meat media used to transport jejunal aspirate for anaerobic culture. (d) Sterile tube used to transport jejunal aspirate for aerobic culture. Bacteriological studies: Smears were prepared from jejunal aspirates, fixed, Gram stained and examined for presence of Gram positive and negative organisms. Bacterial species were cultured and isolated using standard techniques [16]. Briefly, for aerobic culture, samples were homogenized by vortexing and then diluted serially with sterile distilled water. Dilutions from 5 × 10-1 to 5 × 10-4 were prepared. Aliquots of non-diluted sample and each dilution (100 μl each) were plated on blood agar and MacConkey agar. After 24 to 48-h incubation at 37°C, colonies were counted and bacterial species identified using standard techniques [16,17]. Dilutions were made in Robertson's cooked meat broth for anaerobic culture. Undiluted sample and each dilution (100 μl each) were subcultured on Wilkins-Chalgren agar. For anaerobic culture anaerobic jars (McIntosh) were used. For gassing the culture evacuation replacement system (Anoxomate, Mart-Netherland) was used. The standard anaerobic recipe has 3 evacuation replacement cycles. In the first evacuation phase of the standard anaerobic culture 80% of the jar volume was evacuated. The anoxomate achieves this with high accuracy due to high precision pressure sensor. In the successive replacement, the jar was filled with oxygen free gas mixture (Nitrogen). The jar was finally filled with a gas mixture containing 80%-90% nitrogen, 5%-10% hydrogen and carbon dioxide. Strains of Clostridium difficile, Clostridium perfringens, Bacteroides fragilis and gram negative cocci were used as positive control with each batch. Pseudomonas aeruginosa was used as negative control. Cultures were examined for bacterial growth after incubation for 48-h and if negative, after 5 days at 37°C in an anaerobic chamber. In case of bacterial growth, colonies were counted and bacterial species identified using standard techniques. Rogosa agar was used [16] for lactobacilli and was incubated in anaerobic conditions. Bacterial counts were expressed as logarithm of colony forming units per ml of jejunal fluid. Total bacterial colonies and count of each species were obtained. Antibiotic sensitivity: All bacterial strains were subjected to in vitro antibiotic sensitivity test. Antibiotic discs (Himedia, Mumbai, India), namely ampicillin (10 μg), ampicillin and salbactum (10 μg each), tetracycline (30 μg), co-trimoxazole (trimethoprim / sulfamethoxazole 1.25 / 23.75 μg), erythromycin (15 μg), norfloxacin (10 μg), ciprofloxacin (5 μg) and cephalexin (30 μg) were used. We chose these antibiotics as these are orally administered and therefore, are likely to be preferred by the clinicians in the treatment of SIBO. The antibiotic discs were stored at 4°C before use. Antibiotic sensitivity test was performed by modified Stoke's method [17]. Briefly, Muller Hinton's agar was prepared and its pH was adjusted to 7.3. It was poured to a depth of 4 mm on flat-bottomed 9-cm petri dishes. These were dried before use. The area of petri dish was arbitrarily divided into three parts, central area for control organisms and two areas on either side of it, for test organisms. The control organisms consisted of Escherichia coli [National Collection of Type Culture (NCTC) 10418], Staphylococcus aureus (NCTC 6571) and Pseudomonas aeruginosa (NCTC 10662) for coliforms, Staphylococcus and pseudomonads respectively. An inoculum of the test organism was prepared by emulsifying part of the growth from each of 5 similar colonies in saline. Turbidity of the suspension was adjusted to 0.5 McFarland standard spectrophotometrically at 530 nm wavelength. Overnight incubation of this inoculum produced semi-confluent growth. Sterile cotton swabs were impregnated with the test and control organisms separately. These swabs were used to inoculate the specified areas of the petri dishes with test and control organisms. A gap of 2–3 mm was left between test and control strains. Antibiotic discs were applied with light pressure on the agar surface using flamed forceps after the inoculum had dried. The petri dishes were incubated at 37°C for 16 to 18-h. The radial width of the zones outside the antibiotic discs was measured in mm. The zones of inhibition of the test organisms were compared with those of control strains. The results were interpreted based on measurement of zone of inhibition (mm) in test organisms as compared with the controls as follows: (a) sensitive: equal to, greater than or not less than 3-mm as compared with controls, (b) intermediate: ≥ 2-mm but smaller than controls by >3-mm, (c) resistant: ≤ 2-mm. Statistical analysis: Nominal variables were analyzed by Chi-square test with Yates' correction as applicable. Numerical variables were analyzed by Mann-Whitney U test as the data were not expected to have normal distribution. A p value of < 0.05 was considered as significant. Results: Gram staining Gram positive cocci were found in 8/50, Gram negative bacilli in 13/50 and both Gram positive cocci and negative bacilli in 7/50 patients with MAS. In other 22 patients Gram staining did not show any bacteria. Gram positive cocci were found in 8/50, Gram negative bacilli in 13/50 and both Gram positive cocci and negative bacilli in 7/50 patients with MAS. In other 22 patients Gram staining did not show any bacteria. Frequency, nature of the bacteria and colony count Culture revealed growth of bacteria in 34/50 (68%) patients with MAS and 3/12 patients with IBS (p < 0.05). Total colony count ranged from 3 × 102 to 1 × 1015 colony forming unit (CFU)/ml (median 105) in MAS and 100–1000 (median 700) CFU/ml in patients with IBS (p 0.003); 21/50 (42%) patients had with MAS and none of 12 with IBS had colony count ≥105 CFU/ml (p < 0.05). In patients with MAS, aerobes were isolated in 34/34 and anaerobe in 1/34 with positive culture. Two bacterial species were grown in jejunal aspirate of 13 patients and three bacterial species in one patient. In the remaining 20 patients, growth of a single bacterial species was obtained. Frequency of isolation of different bacteria and colony count of each species of bacteria in patients with MAS are shown in table 1. ≥105 CFU/mL bacteria grew in 6/16 patients with TS, 2/5 with celiac disease, 1/3 with intestinal tuberculosis, 1/1 with panhypogammaglobulinemia and Strongyloidiasis, 1/1 with selective IgA deficiency, all seven with SIBO secondary to structural and motility abnormality and 3/12 with MAS without a known cause. Frequency of isolation and colony counts of different bacteria in patients with malabsorption syndrome. *Jejunal aspirate of 20 patients grew one, 13 two and one three bacterial species. Culture revealed growth of bacteria in 34/50 (68%) patients with MAS and 3/12 patients with IBS (p < 0.05). Total colony count ranged from 3 × 102 to 1 × 1015 colony forming unit (CFU)/ml (median 105) in MAS and 100–1000 (median 700) CFU/ml in patients with IBS (p 0.003); 21/50 (42%) patients had with MAS and none of 12 with IBS had colony count ≥105 CFU/ml (p < 0.05). In patients with MAS, aerobes were isolated in 34/34 and anaerobe in 1/34 with positive culture. Two bacterial species were grown in jejunal aspirate of 13 patients and three bacterial species in one patient. In the remaining 20 patients, growth of a single bacterial species was obtained. Frequency of isolation of different bacteria and colony count of each species of bacteria in patients with MAS are shown in table 1. ≥105 CFU/mL bacteria grew in 6/16 patients with TS, 2/5 with celiac disease, 1/3 with intestinal tuberculosis, 1/1 with panhypogammaglobulinemia and Strongyloidiasis, 1/1 with selective IgA deficiency, all seven with SIBO secondary to structural and motility abnormality and 3/12 with MAS without a known cause. Frequency of isolation and colony counts of different bacteria in patients with malabsorption syndrome. *Jejunal aspirate of 20 patients grew one, 13 two and one three bacterial species. Sensitivity testing In vitro sensitivity to commonly used orally absorbed antibiotics showed (table 2) that bacteria isolated from small bowel were more often sensitive to quinolones (ciprofloxacin and norfloxacin) than to tetracycline (39/47 and 34/47 vs 19/47, p < 0.0001 and <0.01, respectively); it is important to note that tetracycline is commonly used to treat chronic diarrhoea and malabsorption associated with bacterial contamination of small bowel [10,11]. There was no difference in sensitivity to ampicillin, erythromycin, co-trimoxazole with that of tetracycline (21/44, 14/22 and 24/47 vs. 19/47, p = ns). 30/44 and 25/40 bacterial species were sensitive to ampicillin and sulbactam combination and cephalexin respectively. Sensitivity of the bacteria isolated from jejunal aspirate to various antibiotics. Figures within parenthesis indicate percentages. NT: not tested. *p < 0.01; $p < 0.0001 (Chi-squared test) In vitro sensitivity to commonly used orally absorbed antibiotics showed (table 2) that bacteria isolated from small bowel were more often sensitive to quinolones (ciprofloxacin and norfloxacin) than to tetracycline (39/47 and 34/47 vs 19/47, p < 0.0001 and <0.01, respectively); it is important to note that tetracycline is commonly used to treat chronic diarrhoea and malabsorption associated with bacterial contamination of small bowel [10,11]. There was no difference in sensitivity to ampicillin, erythromycin, co-trimoxazole with that of tetracycline (21/44, 14/22 and 24/47 vs. 19/47, p = ns). 30/44 and 25/40 bacterial species were sensitive to ampicillin and sulbactam combination and cephalexin respectively. Sensitivity of the bacteria isolated from jejunal aspirate to various antibiotics. Figures within parenthesis indicate percentages. NT: not tested. *p < 0.01; $p < 0.0001 (Chi-squared test) Gram staining: Gram positive cocci were found in 8/50, Gram negative bacilli in 13/50 and both Gram positive cocci and negative bacilli in 7/50 patients with MAS. In other 22 patients Gram staining did not show any bacteria. Frequency, nature of the bacteria and colony count: Culture revealed growth of bacteria in 34/50 (68%) patients with MAS and 3/12 patients with IBS (p < 0.05). Total colony count ranged from 3 × 102 to 1 × 1015 colony forming unit (CFU)/ml (median 105) in MAS and 100–1000 (median 700) CFU/ml in patients with IBS (p 0.003); 21/50 (42%) patients had with MAS and none of 12 with IBS had colony count ≥105 CFU/ml (p < 0.05). In patients with MAS, aerobes were isolated in 34/34 and anaerobe in 1/34 with positive culture. Two bacterial species were grown in jejunal aspirate of 13 patients and three bacterial species in one patient. In the remaining 20 patients, growth of a single bacterial species was obtained. Frequency of isolation of different bacteria and colony count of each species of bacteria in patients with MAS are shown in table 1. ≥105 CFU/mL bacteria grew in 6/16 patients with TS, 2/5 with celiac disease, 1/3 with intestinal tuberculosis, 1/1 with panhypogammaglobulinemia and Strongyloidiasis, 1/1 with selective IgA deficiency, all seven with SIBO secondary to structural and motility abnormality and 3/12 with MAS without a known cause. Frequency of isolation and colony counts of different bacteria in patients with malabsorption syndrome. *Jejunal aspirate of 20 patients grew one, 13 two and one three bacterial species. Sensitivity testing: In vitro sensitivity to commonly used orally absorbed antibiotics showed (table 2) that bacteria isolated from small bowel were more often sensitive to quinolones (ciprofloxacin and norfloxacin) than to tetracycline (39/47 and 34/47 vs 19/47, p < 0.0001 and <0.01, respectively); it is important to note that tetracycline is commonly used to treat chronic diarrhoea and malabsorption associated with bacterial contamination of small bowel [10,11]. There was no difference in sensitivity to ampicillin, erythromycin, co-trimoxazole with that of tetracycline (21/44, 14/22 and 24/47 vs. 19/47, p = ns). 30/44 and 25/40 bacterial species were sensitive to ampicillin and sulbactam combination and cephalexin respectively. Sensitivity of the bacteria isolated from jejunal aspirate to various antibiotics. Figures within parenthesis indicate percentages. NT: not tested. *p < 0.01; $p < 0.0001 (Chi-squared test) Discussion: In this study we found that the spectrum of bacteria isolated from upper small bowel in patients with malabsorption syndrome from the tropics are somewhat similar to that reported from the west [9]; these bacteria are often resistant to tetracycline, co-trimoxazole, ampicillin and sensitive to quinolones. Therefore, our data suggest the need for undertaking randomized controlled trial of these orally administered antibiotics in the treatment of SIBO and contaminated small bowel syndrome in the tropics. We have shown that SIBO was common in MAS due to any cause (e.g. TS, celiac disease, parasitic infestation, immunodeficiency states) and resulted from both Gram positive and Gram negative bacteria. SIBO was diagnosed using standard definition (≥105 CFU/ml bacteria in jejunal aspirate) [1]. Predominant Gram positive organism was streptococcus species and the predominant Gram negative organism was Escherichia coli. This is accordance with the earlier report from the west [9]. Anaerobes were infrequently found in our study. This might be related to the fastidious nature of anaerobes and failure to grow even on exposure to small quantity of oxygen [18]. Other reasons could be related to differences in patient population included in our study. We studied patients with MAS due to other primary causes; in contrast, earlier studies included patients with SIBO syndrome [9]. Lower colony counts of aerobes could be the other reason for lower frequency of anaerobes as aerobes utilize oxygen and help in growth of anaerobes [19]. Several isolated studies documented SIBO either using microbiological techniques or glucose hydrogen breath test in patients with celiac disease [20], TS [6], parasitic infestation of small bowel [7,13] and hypogammaglobulinemia [21]. In this study we documented frequent occurrence of SIBO in patients with various causes of MAS as a group. Such secondary SIBO in patients with another cause of MAS may have clinical significance as it can further compound malabsorption of nutrients in addition to the primary disease contributing to it. Studies from Burma suggested SIBO as a cause of malnutrition in pediatric population [22,23]. Secondly, at times a transient response to antibiotics resulting from eradication of such secondary SIBO may mislead the clinician trying to establish the diagnosis of etiology of MAS. We found frequent resistance to the drugs that are often used in the treatment of SIBO syndrome. Over half of bacteria were resistant to tetracycline, the drug that has been considered as the first line antibiotic in the treatment of SIBO when not guided by antibiogram [11], a quite common practice. Most strains were also resistant to the combination of trimethoprim-sulfamethoxazole. This is in contrast to the earlier western report showing infrequent resistance to most antibiotics [9]. These discrepancies might be explained by differing practice of antibiotic use in different countries. Frequent resistance to commonly used antibiotics in India might owe to over the counter availability and frequent unnecessary use of these antibiotics. In the present study, we deliberately chose to report sensitivity patterns of orally used antibiotics as parenteral antibiotics are rarely used in treatment of SIBO. Most of bacteria isolated were sensitive to both ciprofloxacin and norfloxacin. However, we believe that norfloxacin may be preferred over ciprofloxacin, since norfloxacin has low systemic absorption [24] and therefore, may have infrequent side effects and may be safe particularly during pregnancy. Patients with SIBO often need long-term and repeated courses of antibiotics [25] and therefore, those with lesser toxicity and lower systemic absorption would be preferred. However, this needs to be proved by randomized controlled trial. A recent randomized cross over study on ten patients with SIBO from developed countries documented efficacy of norfloxacin in reducing diarrhoea and breath hydrogen [26]. In conclusion, SIBO is common in patients with malabsorption syndrome due various causes in the tropics and norfloxacin may be considered in its treatment. Our in vitro data also serve as a starting point for further randomized controlled trial of norfloxacin in treatment of SIBO.
Background: Various causes of malabsorption syndrome (MAS) are associated with intestinal stasis that may cause small intestinal bacterial overgrowth (SIBO). Frequency, nature and antibiotic sensitivity of SIBO in patients with MAS are not well understood. Methods: Jejunal aspirates of 50 consecutive patients with MAS were cultured for bacteria and colony counts and antibiotic sensitivity were performed. Twelve patients with irritable bowel syndrome were studied as controls. Results: Culture revealed growth of bacteria in 34/50 (68%) patients with MAS and 3/12 controls (p < 0.05). Colony counts ranged from 3 x 10(2) to 10(15) (median 10(5)) in MAS and 100 to 1000 (median 700) CFU/ml in controls (p 0.003). 21/50 (42%) patients had counts GreaterEqual;105 CFU/ml in MAS and none of controls (p < 0.05). Aerobes were isolated in 34/34 and anaerobe in 1/34. Commonest Gram positive and negative bacteria were Streptococcus species and Escherichia coli respectively. The isolated bacteria were more often sensitive to quinolones than to tetracycline (ciprofloxacin: 39/47 and norfloxacin: 34/47 vs. tetracycline 19/47, <0.01), ampicillin, erythromycin and co-trimoxazole (21/44, 14/22 and 24/47 respectively vs. tetracycline, p = ns). Conclusions: SIBO is common in patients with MAS due to various causes and quinolones may be the preferred treatment. This needs to be proved further by a randomized controlled trial.
Background: Small intestinal bacterial overgrowth syndrome (SIBO) is defined as overgrowth of ≥105 colony forming unit (CFU) per ml of bacteria in the proximal small bowel [1]. Some authors considered a diagnosis of SIBO even with a lower colony count (≥ 103 CFU/ml) if the species of bacteria isolated in jejunal aspirate were those which, colonize large bowel [2,3]. Various anatomical lesions of small bowel and slowing of its motility may lead to bacterial overgrowth [4]. Several specific diseases e.g. celiac disease, tropical sprue (TS) and parasitic infestations have been shown to reduce intestinal motility [5-7]. Classic radiological findings of 'segmentation', 'flocculation' and dilatation of small bowel in barium series in patients with malabsorption are secondary to intestinal stasis [8]. Therefore, patients with specific causes of MAS like TS, celiac disease, parasitic infestations are also prone to SIBO. Frequency, nature and clinical significance of SIBO in patients without any other known cause of malabsorption syndrome (MAS, e.g. TS, celiac disease) are well established. Despite description of small bowel stasis in patients with various known causes of MAS, reports on frequency, nature and antibiotic sensitivity of SIBO in these patients are scant. We hypothesize that patients with MAS, irrespective of etiology, might have SIBO. Studies on bacterial population contaminating upper gut and their antibiotic sensitivity pattern from developed countries are sparse [9,10]. Sensitivity of these bacteria to currently available antibiotics has been reported only once [9]. There is no study on spectrum of bacteria and their sensitivity pattern to various antibiotics in patients with MAS from developing countries. SIBO is often treated with repeated courses of antibiotics. Tetracycline was the mainstay of therapy for SIBO in past [11]. With the availability of several newer safe, effective and non-absorbable antibiotics, studying in vitro sensitivity of bacteria isolated from small bowel of these patients to such antibiotics appears worthwhile. Accordingly, we undertook this study prospectively. Discussion: The pre-publication history for this paper can be accessed here:
Background: Various causes of malabsorption syndrome (MAS) are associated with intestinal stasis that may cause small intestinal bacterial overgrowth (SIBO). Frequency, nature and antibiotic sensitivity of SIBO in patients with MAS are not well understood. Methods: Jejunal aspirates of 50 consecutive patients with MAS were cultured for bacteria and colony counts and antibiotic sensitivity were performed. Twelve patients with irritable bowel syndrome were studied as controls. Results: Culture revealed growth of bacteria in 34/50 (68%) patients with MAS and 3/12 controls (p < 0.05). Colony counts ranged from 3 x 10(2) to 10(15) (median 10(5)) in MAS and 100 to 1000 (median 700) CFU/ml in controls (p 0.003). 21/50 (42%) patients had counts GreaterEqual;105 CFU/ml in MAS and none of controls (p < 0.05). Aerobes were isolated in 34/34 and anaerobe in 1/34. Commonest Gram positive and negative bacteria were Streptococcus species and Escherichia coli respectively. The isolated bacteria were more often sensitive to quinolones than to tetracycline (ciprofloxacin: 39/47 and norfloxacin: 34/47 vs. tetracycline 19/47, <0.01), ampicillin, erythromycin and co-trimoxazole (21/44, 14/22 and 24/47 respectively vs. tetracycline, p = ns). Conclusions: SIBO is common in patients with MAS due to various causes and quinolones may be the preferred treatment. This needs to be proved further by a randomized controlled trial.
7,692
276
[ 380, 387, 114, 277, 380, 484, 48, 946, 39, 257, 166, 742 ]
13
[ "patients", "mas", "bacterial", "test", "tube", "jejunal", "bacteria", "culture", "sibo", "species" ]
[ "bowel patients malabsorption", "celiac disease intestinal", "bacterial overgrowth syndrome", "bacteria sibo diagnosed", "infestation small bowel" ]
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[CONTENT] Small bowel bacterial overgrowth | jejunal aspirate culture | gut flora | India | antibiogram | tropical sprue [SUMMARY]
[CONTENT] Small bowel bacterial overgrowth | jejunal aspirate culture | gut flora | India | antibiogram | tropical sprue [SUMMARY]
null
[CONTENT] Small bowel bacterial overgrowth | jejunal aspirate culture | gut flora | India | antibiogram | tropical sprue [SUMMARY]
[CONTENT] Small bowel bacterial overgrowth | jejunal aspirate culture | gut flora | India | antibiogram | tropical sprue [SUMMARY]
[CONTENT] Small bowel bacterial overgrowth | jejunal aspirate culture | gut flora | India | antibiogram | tropical sprue [SUMMARY]
[CONTENT] Adult | Drug Resistance, Bacterial | Escherichia coli | Female | Humans | Irritable Bowel Syndrome | Jejunum | Malabsorption Syndromes | Male | Microbial Sensitivity Tests | Streptococcus [SUMMARY]
[CONTENT] Adult | Drug Resistance, Bacterial | Escherichia coli | Female | Humans | Irritable Bowel Syndrome | Jejunum | Malabsorption Syndromes | Male | Microbial Sensitivity Tests | Streptococcus [SUMMARY]
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[CONTENT] Adult | Drug Resistance, Bacterial | Escherichia coli | Female | Humans | Irritable Bowel Syndrome | Jejunum | Malabsorption Syndromes | Male | Microbial Sensitivity Tests | Streptococcus [SUMMARY]
[CONTENT] Adult | Drug Resistance, Bacterial | Escherichia coli | Female | Humans | Irritable Bowel Syndrome | Jejunum | Malabsorption Syndromes | Male | Microbial Sensitivity Tests | Streptococcus [SUMMARY]
[CONTENT] Adult | Drug Resistance, Bacterial | Escherichia coli | Female | Humans | Irritable Bowel Syndrome | Jejunum | Malabsorption Syndromes | Male | Microbial Sensitivity Tests | Streptococcus [SUMMARY]
[CONTENT] bowel patients malabsorption | celiac disease intestinal | bacterial overgrowth syndrome | bacteria sibo diagnosed | infestation small bowel [SUMMARY]
[CONTENT] bowel patients malabsorption | celiac disease intestinal | bacterial overgrowth syndrome | bacteria sibo diagnosed | infestation small bowel [SUMMARY]
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[CONTENT] bowel patients malabsorption | celiac disease intestinal | bacterial overgrowth syndrome | bacteria sibo diagnosed | infestation small bowel [SUMMARY]
[CONTENT] bowel patients malabsorption | celiac disease intestinal | bacterial overgrowth syndrome | bacteria sibo diagnosed | infestation small bowel [SUMMARY]
[CONTENT] bowel patients malabsorption | celiac disease intestinal | bacterial overgrowth syndrome | bacteria sibo diagnosed | infestation small bowel [SUMMARY]
[CONTENT] patients | mas | bacterial | test | tube | jejunal | bacteria | culture | sibo | species [SUMMARY]
[CONTENT] patients | mas | bacterial | test | tube | jejunal | bacteria | culture | sibo | species [SUMMARY]
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[CONTENT] patients | mas | bacterial | test | tube | jejunal | bacteria | culture | sibo | species [SUMMARY]
[CONTENT] patients | mas | bacterial | test | tube | jejunal | bacteria | culture | sibo | species [SUMMARY]
[CONTENT] patients | mas | bacterial | test | tube | jejunal | bacteria | culture | sibo | species [SUMMARY]
[CONTENT] sibo | small | patients | bowel | small bowel | overgrowth | bacteria | sensitivity | antibiotics | mas [SUMMARY]
[CONTENT] tube | mm | μg | outer tube | outer | anaerobic | test | organisms | control | culture [SUMMARY]
null
[CONTENT] sibo | treatment | patients | anaerobes | frequent | randomized | antibiotics | treatment sibo | study | norfloxacin [SUMMARY]
[CONTENT] patients | mas | tube | bacteria | gram | bacterial | test | sibo | 50 | intestinal [SUMMARY]
[CONTENT] patients | mas | tube | bacteria | gram | bacterial | test | sibo | 50 | intestinal [SUMMARY]
[CONTENT] MAS | SIBO ||| SIBO | MAS [SUMMARY]
[CONTENT] 50 | MAS ||| Twelve [SUMMARY]
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[CONTENT] SIBO | MAS ||| [SUMMARY]
[CONTENT] MAS | SIBO ||| SIBO | MAS ||| 50 | MAS ||| Twelve ||| 34/50 | 68% | MAS | 3/12 ||| 3 | 10(15 | MAS | 100 to 1000 | 700 | CFU | 0.003 ||| 42% | GreaterEqual;105 CFU | MAS ||| 34/34 | 1/34 ||| Commonest Gram | Escherichia ||| 39/47 | 34/47 | 19/47 | 21/44 | 14/22 | 24/47 | tetracycline ||| SIBO | MAS ||| [SUMMARY]
[CONTENT] MAS | SIBO ||| SIBO | MAS ||| 50 | MAS ||| Twelve ||| 34/50 | 68% | MAS | 3/12 ||| 3 | 10(15 | MAS | 100 to 1000 | 700 | CFU | 0.003 ||| 42% | GreaterEqual;105 CFU | MAS ||| 34/34 | 1/34 ||| Commonest Gram | Escherichia ||| 39/47 | 34/47 | 19/47 | 21/44 | 14/22 | 24/47 | tetracycline ||| SIBO | MAS ||| [SUMMARY]
Effect of traditional Chinese medicine-based rehabilitation nursing combined with scalp acupuncture on negative emotions and quality of life of patients with stroke: A randomized controlled trial.
36316939
This study aimed to analyze the effect of traditional Chinese medicine-based rehabilitation nursing combined with scalp acupuncture (TCMRN + SA) on negative emotions and the quality of life of patients with stroke.
BACKGROUND
102 patients with stroke admitted to The First People's Hospital of Huzhou from September 2019 to December 2020 were included in this study using the convenience sampling method and split into an observation group and a control group at random (n = 51 in each group). Individuals in the control group received TCMRN, whereas patients in the observation group received TCMRN + SA. Furthermore, the negative emotions and quality of life of the individuals in both groups were evaluated before and after the intervention using the Pittsburgh sleep quality index scale, Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), as well as Activity of Daily Living Scale. Furthermore, the efficiency of the sleep-quality intervention between the 2 groups was compared.
METHODS
After the intervention, the Pittsburgh sleep quality index scale, SDS, as well as self-rating anxiety scale scores of individuals in the observation group were considerably lower in comparison to the individuals in the control group (P < .01). Activity of daily living scale scores in the observation group also differed considerably from those in the control group (P < .01). Moreover, the sleep quality efficiency rate in the observation group (90.19% [46/51]) was substantially higher than that in the control group (70.59% [36/51]) (P < .05).
RESULTS
TCMRN + SA can effectively improve patients' negative emotions and quality of life and is worthy of clinical promotion and application.
CONCLUSION
[ "Humans", "Quality of Life", "Medicine, Chinese Traditional", "Rehabilitation Nursing", "Scalp", "Acupuncture Therapy", "Stroke", "Emotions" ]
9622655
1. Introduction
Stroke is a chronic condition with high clinical morbidity and disability. Most individuals with stroke suffer from physical dysfunction, along with physical and psychological disorders such as sleep disturbance, anxiety, and depression.[1] Delayed stroke treatment can further affect patients’ neural functional recovery and quality of daily life, and can even increase the risk of stroke recurrence. Traditional Chinese medicine-based rehabilitation nursing (TCMRN), guided by the basic theories of traditional Chinese medicine (TCM), promote the recovery of patients’ bodily functions by regulating qi and blood and dredging main and collateral channels.[2] Scalp acupuncture (SA), one of the treatment methods of traditional acupuncture, is an effective therapy to treat diseases by stimulating specific areas in the hairline region of the head and has now become a prevalent method for treating the sequelae of stroke, with the advantages of easy operation and easy-to-find acupuncture points.[3,4] In our investigation, we studied the effect of TCMRN + SA on negative emotions and the quality of life of patients with stroke.
2.2. Methods
The intervention team was established before this study, consisting of 1 doctor each from the neurology and acupuncture departments, one rehabilitation technician, and 4 specialist nurses. 2.2.1. Control group. Individuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education. Individuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education. 2.2.2. Observation group. Patients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks). Patients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks).
3. Results
3.1. Comparison of general information between the 2 groups Finally, 51patients in the control group and 51 patients in the observation group completed the study. There was no significant difference in terms of clinical data, including age, sex, hemiparesis side, type of stroke and course of disease between the 2 groups (P > .05), as shown in (Table 1) Comparison of general information between the 2 groups. Finally, 51patients in the control group and 51 patients in the observation group completed the study. There was no significant difference in terms of clinical data, including age, sex, hemiparesis side, type of stroke and course of disease between the 2 groups (P > .05), as shown in (Table 1) Comparison of general information between the 2 groups. 3.2. Comparison of PSQI scores for each item and total scores before and after intervention between the 2 groups After the intervention, the PSQI scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01). (Table 2) Comparison of PSQI scores for each item and total scores between the 2 groups (x¯±s). PSQI = Pittsburgh Sleep Quality Index Scale. After the intervention, the PSQI scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01). (Table 2) Comparison of PSQI scores for each item and total scores between the 2 groups (x¯±s). PSQI = Pittsburgh Sleep Quality Index Scale. 3.3. Comparison of SAS, SDS, and ADL scores before and after intervention between the two groups After the intervention, the SDS, as well as SAS scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01).ADL scores in the observation group also differed considerably from those in the control group (P < .01). (Table 3) Comparison of SAS, SDS, and ADL scores between the 2 groups. ADL = Activity of Daily Living Scale, SAS = Self-rating Anxiety Scale, SDS = Self-rating Depression Scale. After the intervention, the SDS, as well as SAS scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01).ADL scores in the observation group also differed considerably from those in the control group (P < .01). (Table 3) Comparison of SAS, SDS, and ADL scores between the 2 groups. ADL = Activity of Daily Living Scale, SAS = Self-rating Anxiety Scale, SDS = Self-rating Depression Scale. 3.4. Comparison of sleep efficiency after intervention between the two groups After treatment, the observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective, with a total efficacy of 90.19%. The control group had 11 cases of clinical cure,13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective, with a total efficacy of 70.59%. The sleep efficiency rate in the observation group (90.19%) was significantly substantially higher than that in the control group (70.59%) (P < .05). It shows that TCMRN + SA can effectively improve the sleep quality of patients. (Table 4, Fig. 1) Comparison of sleep efficiency between the 2 groups. Comparison of sleep efficiency between the 2 groups. The observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective. The control group had 11 cases of clinical cure, 13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective. After treatment, the observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective, with a total efficacy of 90.19%. The control group had 11 cases of clinical cure,13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective, with a total efficacy of 70.59%. The sleep efficiency rate in the observation group (90.19%) was significantly substantially higher than that in the control group (70.59%) (P < .05). It shows that TCMRN + SA can effectively improve the sleep quality of patients. (Table 4, Fig. 1) Comparison of sleep efficiency between the 2 groups. Comparison of sleep efficiency between the 2 groups. The observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective. The control group had 11 cases of clinical cure, 13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective.
null
null
[ "2. Material and Methods", "2.2.1. Control group.", "2.2.2. Observation group.", "2.3. Outcome measures", "2.4. Statistical analysis", "3.1. Comparison of general information between the 2 groups", "3.2. Comparison of PSQI scores for each item and total scores before and after intervention between the 2 groups", "3.3. Comparison of SAS, SDS, and ADL scores before and after intervention between the two groups", "3.4. Comparison of sleep efficiency after intervention between the two groups", "Author contributions" ]
[ "2.1. Patient selection and general information In this single-blind, exploratory, randomized, controlled study 102 patients with stroke treated in our hospital from September 2019 to December 2020 were assessed for eligibility and recruited. All eligible patients were randomized at a ratio of 1:1 via the random envelope method to either an observation group or a control group. The patients and their families were informed about the purpose and significance of the study before the study and signed the informed consent form. This study was reviewed and approved by the medical ethics committee of our hospital.\nFollowing were the inclusion criteria for this study: stroke determined by the diagnostic criteria of the Academic Conference on Stroke,[5] supported by cranial CT (or MRI) imaging evidence; age 40 to 70 years; disease course within 6 months; and informed consent form signed by patients or their families. Following were the exclusion criteria for this study: severe heart, liver, kidney, and other organ diseases; long-term use of psychotropic drugs or sedatives; and noncompliance of patients or their families. The First People’s Hospital of Huzhou City’s medical ethics committee granted its approval for this study (approval No. 2021KYLL019).\nIn this single-blind, exploratory, randomized, controlled study 102 patients with stroke treated in our hospital from September 2019 to December 2020 were assessed for eligibility and recruited. All eligible patients were randomized at a ratio of 1:1 via the random envelope method to either an observation group or a control group. The patients and their families were informed about the purpose and significance of the study before the study and signed the informed consent form. This study was reviewed and approved by the medical ethics committee of our hospital.\nFollowing were the inclusion criteria for this study: stroke determined by the diagnostic criteria of the Academic Conference on Stroke,[5] supported by cranial CT (or MRI) imaging evidence; age 40 to 70 years; disease course within 6 months; and informed consent form signed by patients or their families. Following were the exclusion criteria for this study: severe heart, liver, kidney, and other organ diseases; long-term use of psychotropic drugs or sedatives; and noncompliance of patients or their families. The First People’s Hospital of Huzhou City’s medical ethics committee granted its approval for this study (approval No. 2021KYLL019).\n2.2. Methods The intervention team was established before this study, consisting of 1 doctor each from the neurology and acupuncture departments, one rehabilitation technician, and 4 specialist nurses.\n2.2.1. Control group. Individuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education.\nIndividuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education.\n2.2.2. Observation group. Patients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks).\nPatients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks).\nThe intervention team was established before this study, consisting of 1 doctor each from the neurology and acupuncture departments, one rehabilitation technician, and 4 specialist nurses.\n2.2.1. Control group. Individuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education.\nIndividuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education.\n2.2.2. Observation group. Patients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks).\nPatients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks).\n2.3. Outcome measures (1) Pittsburgh Sleep Quality Index scale (PSQI)[8] covers 7 items (sleep latency, hypnotic drug use, sleep duration, daytime dysfunction, sleep efficiency, sleep quality, and sleep disturbance). The scale has a score range of 0 to 21, with higher scores suggesting poorer sleep quality.\n(2) Emotional status was evaluated by the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) developed by Zung.[9] Each scale has 20 items, and scores below 50 are considered normal, whereas scores ≥ 50 indicate the presence of significant anxiety or depression (higher scores indicate more severe anxiety and depression).\n(3) Activity Of Daily Living Scale (ADL)[10] involves multiple motions such as going up and down stairs, eating, excreting stool and urine, and dressing. The total score of this scale is 100, with higher scores indicating patients’ stronger ability to live.\n(4) Sleep efficiency assessment criteria in this study were based on the Guidelines for the Clinical Research of Chinese Medicine New Drugs and “Nimodipine Method”[11] as follows: clinical cure: normal sleep latency or sleep duration ≥ 6h at night, deep sleep, energetic status after waking up, and score reduction ≥ 95%; markedly effective: significantly improved sleep quality, sleep duration increased ≥ 3h, increased sleep depth, and score reduction ≥ 70%; effective: increased sleep duration but < 3h and score reduction ≥ 30%. Ineffective: no significant improvement in sleep duration, or even worsening, and score reduction < 30%. Total effective rate = (clinically cure + markedly effective + effective)/ total cases × 100 %.\n(1) Pittsburgh Sleep Quality Index scale (PSQI)[8] covers 7 items (sleep latency, hypnotic drug use, sleep duration, daytime dysfunction, sleep efficiency, sleep quality, and sleep disturbance). The scale has a score range of 0 to 21, with higher scores suggesting poorer sleep quality.\n(2) Emotional status was evaluated by the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) developed by Zung.[9] Each scale has 20 items, and scores below 50 are considered normal, whereas scores ≥ 50 indicate the presence of significant anxiety or depression (higher scores indicate more severe anxiety and depression).\n(3) Activity Of Daily Living Scale (ADL)[10] involves multiple motions such as going up and down stairs, eating, excreting stool and urine, and dressing. The total score of this scale is 100, with higher scores indicating patients’ stronger ability to live.\n(4) Sleep efficiency assessment criteria in this study were based on the Guidelines for the Clinical Research of Chinese Medicine New Drugs and “Nimodipine Method”[11] as follows: clinical cure: normal sleep latency or sleep duration ≥ 6h at night, deep sleep, energetic status after waking up, and score reduction ≥ 95%; markedly effective: significantly improved sleep quality, sleep duration increased ≥ 3h, increased sleep depth, and score reduction ≥ 70%; effective: increased sleep duration but < 3h and score reduction ≥ 30%. Ineffective: no significant improvement in sleep duration, or even worsening, and score reduction < 30%. Total effective rate = (clinically cure + markedly effective + effective)/ total cases × 100 %.\n2.4. Statistical analysis SPSS22.0 was used for data analysis. Measurement data were expressed as mean ± standard deviation (x¯±s), and a t-test was used for comparison between groups. Enumeration data were expressed by frequency, and the χ2 test was used for comparison between groups. In addition, P < .05 indicated a significant difference.\nSPSS22.0 was used for data analysis. Measurement data were expressed as mean ± standard deviation (x¯±s), and a t-test was used for comparison between groups. Enumeration data were expressed by frequency, and the χ2 test was used for comparison between groups. In addition, P < .05 indicated a significant difference.", "Individuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education.", "Patients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks).", "(1) Pittsburgh Sleep Quality Index scale (PSQI)[8] covers 7 items (sleep latency, hypnotic drug use, sleep duration, daytime dysfunction, sleep efficiency, sleep quality, and sleep disturbance). The scale has a score range of 0 to 21, with higher scores suggesting poorer sleep quality.\n(2) Emotional status was evaluated by the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) developed by Zung.[9] Each scale has 20 items, and scores below 50 are considered normal, whereas scores ≥ 50 indicate the presence of significant anxiety or depression (higher scores indicate more severe anxiety and depression).\n(3) Activity Of Daily Living Scale (ADL)[10] involves multiple motions such as going up and down stairs, eating, excreting stool and urine, and dressing. The total score of this scale is 100, with higher scores indicating patients’ stronger ability to live.\n(4) Sleep efficiency assessment criteria in this study were based on the Guidelines for the Clinical Research of Chinese Medicine New Drugs and “Nimodipine Method”[11] as follows: clinical cure: normal sleep latency or sleep duration ≥ 6h at night, deep sleep, energetic status after waking up, and score reduction ≥ 95%; markedly effective: significantly improved sleep quality, sleep duration increased ≥ 3h, increased sleep depth, and score reduction ≥ 70%; effective: increased sleep duration but < 3h and score reduction ≥ 30%. Ineffective: no significant improvement in sleep duration, or even worsening, and score reduction < 30%. Total effective rate = (clinically cure + markedly effective + effective)/ total cases × 100 %.", "SPSS22.0 was used for data analysis. Measurement data were expressed as mean ± standard deviation (x¯±s), and a t-test was used for comparison between groups. Enumeration data were expressed by frequency, and the χ2 test was used for comparison between groups. In addition, P < .05 indicated a significant difference.", "Finally, 51patients in the control group and 51 patients in the observation group completed the study. There was no significant difference in terms of clinical data, including age, sex, hemiparesis side, type of stroke and course of disease between the 2 groups (P > .05), as shown in (Table 1)\nComparison of general information between the 2 groups.", "After the intervention, the PSQI scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01). (Table 2)\nComparison of PSQI scores for each item and total scores between the 2 groups (x¯±s).\nPSQI = Pittsburgh Sleep Quality Index Scale.", "After the intervention, the SDS, as well as SAS scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01).ADL scores in the observation group also differed considerably from those in the control group (P < .01). (Table 3)\nComparison of SAS, SDS, and ADL scores between the 2 groups.\nADL = Activity of Daily Living Scale, SAS = Self-rating Anxiety Scale, SDS = Self-rating Depression Scale.", "After treatment, the observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective, with a total efficacy of 90.19%. The control group had 11 cases of clinical cure,13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective, with a total efficacy of 70.59%. The sleep efficiency rate in the observation group (90.19%) was significantly substantially higher than that in the control group (70.59%) (P < .05). It shows that TCMRN + SA can effectively improve the sleep quality of patients. (Table 4, Fig. 1)\nComparison of sleep efficiency between the 2 groups.\nComparison of sleep efficiency between the 2 groups. The observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective. The control group had 11 cases of clinical cure, 13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective.", "Conceptualization: Jing-Jun Xie, Jin-Xia Li.\nData curation: Jing-Jun Xie, Qi Sun.\nFormal analysis: Jing-Jun Xie, Jin-Xia Li.\nInvestigation: Jing-Jun Xie,Jian-Li Cai\nProject administration: Jin-Xia Li.\nResources: Jing-Jun Xie, Qi Sun, Jian-Li Cai.\nSupervision: Jin-Xia Li.\nValidation: Jin-Xia Li.\nWriting ‐ original draft: Jing-Jun Xie.\nWriting ‐ review & editing: Jing-Jun Xie, Jin-Xia Li." ]
[ "methods", null, null, null, null, null, null, null, null, null ]
[ "1. Introduction", "2. Material and Methods", "2.1. Patient selection and general information", "2.2. Methods", "2.2.1. Control group.", "2.2.2. Observation group.", "2.3. Outcome measures", "2.4. Statistical analysis", "3. Results", "3.1. Comparison of general information between the 2 groups", "3.2. Comparison of PSQI scores for each item and total scores before and after intervention between the 2 groups", "3.3. Comparison of SAS, SDS, and ADL scores before and after intervention between the two groups", "3.4. Comparison of sleep efficiency after intervention between the two groups", "4. Discussion", "Author contributions" ]
[ "Stroke is a chronic condition with high clinical morbidity and disability. Most individuals with stroke suffer from physical dysfunction, along with physical and psychological disorders such as sleep disturbance, anxiety, and depression.[1] Delayed stroke treatment can further affect patients’ neural functional recovery and quality of daily life, and can even increase the risk of stroke recurrence. Traditional Chinese medicine-based rehabilitation nursing (TCMRN), guided by the basic theories of traditional Chinese medicine (TCM), promote the recovery of patients’ bodily functions by regulating qi and blood and dredging main and collateral channels.[2] Scalp acupuncture (SA), one of the treatment methods of traditional acupuncture, is an effective therapy to treat diseases by stimulating specific areas in the hairline region of the head and has now become a prevalent method for treating the sequelae of stroke, with the advantages of easy operation and easy-to-find acupuncture points.[3,4] In our investigation, we studied the effect of TCMRN + SA on negative emotions and the quality of life of patients with stroke.", "2.1. Patient selection and general information In this single-blind, exploratory, randomized, controlled study 102 patients with stroke treated in our hospital from September 2019 to December 2020 were assessed for eligibility and recruited. All eligible patients were randomized at a ratio of 1:1 via the random envelope method to either an observation group or a control group. The patients and their families were informed about the purpose and significance of the study before the study and signed the informed consent form. This study was reviewed and approved by the medical ethics committee of our hospital.\nFollowing were the inclusion criteria for this study: stroke determined by the diagnostic criteria of the Academic Conference on Stroke,[5] supported by cranial CT (or MRI) imaging evidence; age 40 to 70 years; disease course within 6 months; and informed consent form signed by patients or their families. Following were the exclusion criteria for this study: severe heart, liver, kidney, and other organ diseases; long-term use of psychotropic drugs or sedatives; and noncompliance of patients or their families. The First People’s Hospital of Huzhou City’s medical ethics committee granted its approval for this study (approval No. 2021KYLL019).\nIn this single-blind, exploratory, randomized, controlled study 102 patients with stroke treated in our hospital from September 2019 to December 2020 were assessed for eligibility and recruited. All eligible patients were randomized at a ratio of 1:1 via the random envelope method to either an observation group or a control group. The patients and their families were informed about the purpose and significance of the study before the study and signed the informed consent form. This study was reviewed and approved by the medical ethics committee of our hospital.\nFollowing were the inclusion criteria for this study: stroke determined by the diagnostic criteria of the Academic Conference on Stroke,[5] supported by cranial CT (or MRI) imaging evidence; age 40 to 70 years; disease course within 6 months; and informed consent form signed by patients or their families. Following were the exclusion criteria for this study: severe heart, liver, kidney, and other organ diseases; long-term use of psychotropic drugs or sedatives; and noncompliance of patients or their families. The First People’s Hospital of Huzhou City’s medical ethics committee granted its approval for this study (approval No. 2021KYLL019).\n2.2. Methods The intervention team was established before this study, consisting of 1 doctor each from the neurology and acupuncture departments, one rehabilitation technician, and 4 specialist nurses.\n2.2.1. Control group. Individuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education.\nIndividuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education.\n2.2.2. Observation group. Patients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks).\nPatients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks).\nThe intervention team was established before this study, consisting of 1 doctor each from the neurology and acupuncture departments, one rehabilitation technician, and 4 specialist nurses.\n2.2.1. Control group. Individuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education.\nIndividuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education.\n2.2.2. Observation group. Patients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks).\nPatients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks).\n2.3. Outcome measures (1) Pittsburgh Sleep Quality Index scale (PSQI)[8] covers 7 items (sleep latency, hypnotic drug use, sleep duration, daytime dysfunction, sleep efficiency, sleep quality, and sleep disturbance). The scale has a score range of 0 to 21, with higher scores suggesting poorer sleep quality.\n(2) Emotional status was evaluated by the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) developed by Zung.[9] Each scale has 20 items, and scores below 50 are considered normal, whereas scores ≥ 50 indicate the presence of significant anxiety or depression (higher scores indicate more severe anxiety and depression).\n(3) Activity Of Daily Living Scale (ADL)[10] involves multiple motions such as going up and down stairs, eating, excreting stool and urine, and dressing. The total score of this scale is 100, with higher scores indicating patients’ stronger ability to live.\n(4) Sleep efficiency assessment criteria in this study were based on the Guidelines for the Clinical Research of Chinese Medicine New Drugs and “Nimodipine Method”[11] as follows: clinical cure: normal sleep latency or sleep duration ≥ 6h at night, deep sleep, energetic status after waking up, and score reduction ≥ 95%; markedly effective: significantly improved sleep quality, sleep duration increased ≥ 3h, increased sleep depth, and score reduction ≥ 70%; effective: increased sleep duration but < 3h and score reduction ≥ 30%. Ineffective: no significant improvement in sleep duration, or even worsening, and score reduction < 30%. Total effective rate = (clinically cure + markedly effective + effective)/ total cases × 100 %.\n(1) Pittsburgh Sleep Quality Index scale (PSQI)[8] covers 7 items (sleep latency, hypnotic drug use, sleep duration, daytime dysfunction, sleep efficiency, sleep quality, and sleep disturbance). The scale has a score range of 0 to 21, with higher scores suggesting poorer sleep quality.\n(2) Emotional status was evaluated by the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) developed by Zung.[9] Each scale has 20 items, and scores below 50 are considered normal, whereas scores ≥ 50 indicate the presence of significant anxiety or depression (higher scores indicate more severe anxiety and depression).\n(3) Activity Of Daily Living Scale (ADL)[10] involves multiple motions such as going up and down stairs, eating, excreting stool and urine, and dressing. The total score of this scale is 100, with higher scores indicating patients’ stronger ability to live.\n(4) Sleep efficiency assessment criteria in this study were based on the Guidelines for the Clinical Research of Chinese Medicine New Drugs and “Nimodipine Method”[11] as follows: clinical cure: normal sleep latency or sleep duration ≥ 6h at night, deep sleep, energetic status after waking up, and score reduction ≥ 95%; markedly effective: significantly improved sleep quality, sleep duration increased ≥ 3h, increased sleep depth, and score reduction ≥ 70%; effective: increased sleep duration but < 3h and score reduction ≥ 30%. Ineffective: no significant improvement in sleep duration, or even worsening, and score reduction < 30%. Total effective rate = (clinically cure + markedly effective + effective)/ total cases × 100 %.\n2.4. Statistical analysis SPSS22.0 was used for data analysis. Measurement data were expressed as mean ± standard deviation (x¯±s), and a t-test was used for comparison between groups. Enumeration data were expressed by frequency, and the χ2 test was used for comparison between groups. In addition, P < .05 indicated a significant difference.\nSPSS22.0 was used for data analysis. Measurement data were expressed as mean ± standard deviation (x¯±s), and a t-test was used for comparison between groups. Enumeration data were expressed by frequency, and the χ2 test was used for comparison between groups. In addition, P < .05 indicated a significant difference.", "In this single-blind, exploratory, randomized, controlled study 102 patients with stroke treated in our hospital from September 2019 to December 2020 were assessed for eligibility and recruited. All eligible patients were randomized at a ratio of 1:1 via the random envelope method to either an observation group or a control group. The patients and their families were informed about the purpose and significance of the study before the study and signed the informed consent form. This study was reviewed and approved by the medical ethics committee of our hospital.\nFollowing were the inclusion criteria for this study: stroke determined by the diagnostic criteria of the Academic Conference on Stroke,[5] supported by cranial CT (or MRI) imaging evidence; age 40 to 70 years; disease course within 6 months; and informed consent form signed by patients or their families. Following were the exclusion criteria for this study: severe heart, liver, kidney, and other organ diseases; long-term use of psychotropic drugs or sedatives; and noncompliance of patients or their families. The First People’s Hospital of Huzhou City’s medical ethics committee granted its approval for this study (approval No. 2021KYLL019).", "The intervention team was established before this study, consisting of 1 doctor each from the neurology and acupuncture departments, one rehabilitation technician, and 4 specialist nurses.\n2.2.1. Control group. Individuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education.\nIndividuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education.\n2.2.2. Observation group. Patients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks).\nPatients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks).", "Individuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education.", "Patients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks).", "(1) Pittsburgh Sleep Quality Index scale (PSQI)[8] covers 7 items (sleep latency, hypnotic drug use, sleep duration, daytime dysfunction, sleep efficiency, sleep quality, and sleep disturbance). The scale has a score range of 0 to 21, with higher scores suggesting poorer sleep quality.\n(2) Emotional status was evaluated by the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) developed by Zung.[9] Each scale has 20 items, and scores below 50 are considered normal, whereas scores ≥ 50 indicate the presence of significant anxiety or depression (higher scores indicate more severe anxiety and depression).\n(3) Activity Of Daily Living Scale (ADL)[10] involves multiple motions such as going up and down stairs, eating, excreting stool and urine, and dressing. The total score of this scale is 100, with higher scores indicating patients’ stronger ability to live.\n(4) Sleep efficiency assessment criteria in this study were based on the Guidelines for the Clinical Research of Chinese Medicine New Drugs and “Nimodipine Method”[11] as follows: clinical cure: normal sleep latency or sleep duration ≥ 6h at night, deep sleep, energetic status after waking up, and score reduction ≥ 95%; markedly effective: significantly improved sleep quality, sleep duration increased ≥ 3h, increased sleep depth, and score reduction ≥ 70%; effective: increased sleep duration but < 3h and score reduction ≥ 30%. Ineffective: no significant improvement in sleep duration, or even worsening, and score reduction < 30%. Total effective rate = (clinically cure + markedly effective + effective)/ total cases × 100 %.", "SPSS22.0 was used for data analysis. Measurement data were expressed as mean ± standard deviation (x¯±s), and a t-test was used for comparison between groups. Enumeration data were expressed by frequency, and the χ2 test was used for comparison between groups. In addition, P < .05 indicated a significant difference.", "3.1. Comparison of general information between the 2 groups Finally, 51patients in the control group and 51 patients in the observation group completed the study. There was no significant difference in terms of clinical data, including age, sex, hemiparesis side, type of stroke and course of disease between the 2 groups (P > .05), as shown in (Table 1)\nComparison of general information between the 2 groups.\nFinally, 51patients in the control group and 51 patients in the observation group completed the study. There was no significant difference in terms of clinical data, including age, sex, hemiparesis side, type of stroke and course of disease between the 2 groups (P > .05), as shown in (Table 1)\nComparison of general information between the 2 groups.\n3.2. Comparison of PSQI scores for each item and total scores before and after intervention between the 2 groups After the intervention, the PSQI scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01). (Table 2)\nComparison of PSQI scores for each item and total scores between the 2 groups (x¯±s).\nPSQI = Pittsburgh Sleep Quality Index Scale.\nAfter the intervention, the PSQI scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01). (Table 2)\nComparison of PSQI scores for each item and total scores between the 2 groups (x¯±s).\nPSQI = Pittsburgh Sleep Quality Index Scale.\n3.3. Comparison of SAS, SDS, and ADL scores before and after intervention between the two groups After the intervention, the SDS, as well as SAS scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01).ADL scores in the observation group also differed considerably from those in the control group (P < .01). (Table 3)\nComparison of SAS, SDS, and ADL scores between the 2 groups.\nADL = Activity of Daily Living Scale, SAS = Self-rating Anxiety Scale, SDS = Self-rating Depression Scale.\nAfter the intervention, the SDS, as well as SAS scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01).ADL scores in the observation group also differed considerably from those in the control group (P < .01). (Table 3)\nComparison of SAS, SDS, and ADL scores between the 2 groups.\nADL = Activity of Daily Living Scale, SAS = Self-rating Anxiety Scale, SDS = Self-rating Depression Scale.\n3.4. Comparison of sleep efficiency after intervention between the two groups After treatment, the observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective, with a total efficacy of 90.19%. The control group had 11 cases of clinical cure,13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective, with a total efficacy of 70.59%. The sleep efficiency rate in the observation group (90.19%) was significantly substantially higher than that in the control group (70.59%) (P < .05). It shows that TCMRN + SA can effectively improve the sleep quality of patients. (Table 4, Fig. 1)\nComparison of sleep efficiency between the 2 groups.\nComparison of sleep efficiency between the 2 groups. The observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective. The control group had 11 cases of clinical cure, 13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective.\nAfter treatment, the observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective, with a total efficacy of 90.19%. The control group had 11 cases of clinical cure,13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective, with a total efficacy of 70.59%. The sleep efficiency rate in the observation group (90.19%) was significantly substantially higher than that in the control group (70.59%) (P < .05). It shows that TCMRN + SA can effectively improve the sleep quality of patients. (Table 4, Fig. 1)\nComparison of sleep efficiency between the 2 groups.\nComparison of sleep efficiency between the 2 groups. The observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective. The control group had 11 cases of clinical cure, 13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective.", "Finally, 51patients in the control group and 51 patients in the observation group completed the study. There was no significant difference in terms of clinical data, including age, sex, hemiparesis side, type of stroke and course of disease between the 2 groups (P > .05), as shown in (Table 1)\nComparison of general information between the 2 groups.", "After the intervention, the PSQI scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01). (Table 2)\nComparison of PSQI scores for each item and total scores between the 2 groups (x¯±s).\nPSQI = Pittsburgh Sleep Quality Index Scale.", "After the intervention, the SDS, as well as SAS scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01).ADL scores in the observation group also differed considerably from those in the control group (P < .01). (Table 3)\nComparison of SAS, SDS, and ADL scores between the 2 groups.\nADL = Activity of Daily Living Scale, SAS = Self-rating Anxiety Scale, SDS = Self-rating Depression Scale.", "After treatment, the observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective, with a total efficacy of 90.19%. The control group had 11 cases of clinical cure,13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective, with a total efficacy of 70.59%. The sleep efficiency rate in the observation group (90.19%) was significantly substantially higher than that in the control group (70.59%) (P < .05). It shows that TCMRN + SA can effectively improve the sleep quality of patients. (Table 4, Fig. 1)\nComparison of sleep efficiency between the 2 groups.\nComparison of sleep efficiency between the 2 groups. The observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective. The control group had 11 cases of clinical cure, 13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective.", "Stroke, one of the highly disabling and fatal diseases in China in recent years, causes neurological and physical dysfunction, which poses a great disturbance to patients’ life and work.[12] At present, in addition to conventional rehabilitation therapies, drugs, especially psychotropic drugs, are primarily used to treat stroke-related complications such as sleep disturbance, mood disorders, and physical dysfunction; however, the long-term use of these drugs is prone to drug resistance.[13] According to TCM theory, stroke is primarily caused by emotional depression and anger, improper diet, and excessive exertion. In this study, we developed the TCMRN + SA scheme based on TCM theory to accelerate the recovery of patients, which is of great significance in clinical settings.\nBased on the holistic concept of TCM and the dialectical nursing theory, TCMRN utilizes traditional nursing methods to care for patients with the aid of rehabilitation medical tools, traditional rehabilitation training, and health-preserving methods. SA, a treatment method developed based on traditional acupuncture, is widely used in specific functional areas of the head to prevent and treat disease and has become an effective therapy for treating stroke-related dysfunction.[14] The present study observed significant differences in sleep-quality-related item scores and total scores, sleep-quality intervention effects, and ADL scores between the observation group and the control group (P < .05), indicating that TCMRN + SA can improve negative emotions and quality of life in patients with stroke. According to TCM theory, the pathogenesis of stroke is the interaction of wind, fire, phlegm, stasis, and deficiency. The upwelling of blood to the brain and the lack of spirit preservation leads to emotional disorders, stagnation of the channels, and hemiplegia. Overall, these established findings provide the TCM theoretical basis for the use of TCMRN + SA.\nIn this study, TCM-based emotional nursing improved the effect of emotional counseling by identifying the type of emotional abnormalities in patients and taking targeted counseling measures. By ensuring the patient’s proper diet and the consumption of foods with medicinal properties, the patient’s physique was significantly improved. The back-patting and massage along channels promoted the smooth flow of stagnant meridians, improved blood circulation in the limbs, and enhanced life activities, thereby improving the patients’ quality of life. In addition, the stimulation of the Shen Men, Heart, Sympathetic, and Subcortical acupoints in the ear effectively regulated the function of the internal organs of the patients, reduced the foci of excitation in the cerebral cortex, achieved a balance of yin and yang, alleviated negative emotions in the patients, thereby improving sleep efficiency and quality of life.[15] SA targeting the corresponding functional regions[16] increased the excitability and sensitivity of neuronal cells in the cerebral cortex, promoted the recovery of brain cells in the reversible damage zone and damaged nerve cells, and accelerated the recovery of limb function in patients, thereby improving the quality of life of patients with stroke.\nIn summary, the optimized treatment scheme–TCMRN + SA can effectively improve the negative emotion and quality of life of patients with stroke. In addition, it has the advantages of high safety, good patient compliance, and few side effects, and is worthy of clinical promotion. However, this study has some limitations due to the lack of long-term follow-up data. Therefore, more in-depth studies are needed to provide a further theoretical basis for clinical research.", "Conceptualization: Jing-Jun Xie, Jin-Xia Li.\nData curation: Jing-Jun Xie, Qi Sun.\nFormal analysis: Jing-Jun Xie, Jin-Xia Li.\nInvestigation: Jing-Jun Xie,Jian-Li Cai\nProject administration: Jin-Xia Li.\nResources: Jing-Jun Xie, Qi Sun, Jian-Li Cai.\nSupervision: Jin-Xia Li.\nValidation: Jin-Xia Li.\nWriting ‐ original draft: Jing-Jun Xie.\nWriting ‐ review & editing: Jing-Jun Xie, Jin-Xia Li." ]
[ "intro", "methods", "subjects", "methods", null, null, null, null, "results", null, null, null, null, "discussion", null ]
[ "negative emotion", "quality of life", "scalp acupuncture", "stroke", "traditional Chinese medicine-based nursing" ]
1. Introduction: Stroke is a chronic condition with high clinical morbidity and disability. Most individuals with stroke suffer from physical dysfunction, along with physical and psychological disorders such as sleep disturbance, anxiety, and depression.[1] Delayed stroke treatment can further affect patients’ neural functional recovery and quality of daily life, and can even increase the risk of stroke recurrence. Traditional Chinese medicine-based rehabilitation nursing (TCMRN), guided by the basic theories of traditional Chinese medicine (TCM), promote the recovery of patients’ bodily functions by regulating qi and blood and dredging main and collateral channels.[2] Scalp acupuncture (SA), one of the treatment methods of traditional acupuncture, is an effective therapy to treat diseases by stimulating specific areas in the hairline region of the head and has now become a prevalent method for treating the sequelae of stroke, with the advantages of easy operation and easy-to-find acupuncture points.[3,4] In our investigation, we studied the effect of TCMRN + SA on negative emotions and the quality of life of patients with stroke. 2. Material and Methods: 2.1. Patient selection and general information In this single-blind, exploratory, randomized, controlled study 102 patients with stroke treated in our hospital from September 2019 to December 2020 were assessed for eligibility and recruited. All eligible patients were randomized at a ratio of 1:1 via the random envelope method to either an observation group or a control group. The patients and their families were informed about the purpose and significance of the study before the study and signed the informed consent form. This study was reviewed and approved by the medical ethics committee of our hospital. Following were the inclusion criteria for this study: stroke determined by the diagnostic criteria of the Academic Conference on Stroke,[5] supported by cranial CT (or MRI) imaging evidence; age 40 to 70 years; disease course within 6 months; and informed consent form signed by patients or their families. Following were the exclusion criteria for this study: severe heart, liver, kidney, and other organ diseases; long-term use of psychotropic drugs or sedatives; and noncompliance of patients or their families. The First People’s Hospital of Huzhou City’s medical ethics committee granted its approval for this study (approval No. 2021KYLL019). In this single-blind, exploratory, randomized, controlled study 102 patients with stroke treated in our hospital from September 2019 to December 2020 were assessed for eligibility and recruited. All eligible patients were randomized at a ratio of 1:1 via the random envelope method to either an observation group or a control group. The patients and their families were informed about the purpose and significance of the study before the study and signed the informed consent form. This study was reviewed and approved by the medical ethics committee of our hospital. Following were the inclusion criteria for this study: stroke determined by the diagnostic criteria of the Academic Conference on Stroke,[5] supported by cranial CT (or MRI) imaging evidence; age 40 to 70 years; disease course within 6 months; and informed consent form signed by patients or their families. Following were the exclusion criteria for this study: severe heart, liver, kidney, and other organ diseases; long-term use of psychotropic drugs or sedatives; and noncompliance of patients or their families. The First People’s Hospital of Huzhou City’s medical ethics committee granted its approval for this study (approval No. 2021KYLL019). 2.2. Methods The intervention team was established before this study, consisting of 1 doctor each from the neurology and acupuncture departments, one rehabilitation technician, and 4 specialist nurses. 2.2.1. Control group. Individuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education. Individuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education. 2.2.2. Observation group. Patients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks). Patients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks). The intervention team was established before this study, consisting of 1 doctor each from the neurology and acupuncture departments, one rehabilitation technician, and 4 specialist nurses. 2.2.1. Control group. Individuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education. Individuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education. 2.2.2. Observation group. Patients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks). Patients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks). 2.3. Outcome measures (1) Pittsburgh Sleep Quality Index scale (PSQI)[8] covers 7 items (sleep latency, hypnotic drug use, sleep duration, daytime dysfunction, sleep efficiency, sleep quality, and sleep disturbance). The scale has a score range of 0 to 21, with higher scores suggesting poorer sleep quality. (2) Emotional status was evaluated by the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) developed by Zung.[9] Each scale has 20 items, and scores below 50 are considered normal, whereas scores ≥ 50 indicate the presence of significant anxiety or depression (higher scores indicate more severe anxiety and depression). (3) Activity Of Daily Living Scale (ADL)[10] involves multiple motions such as going up and down stairs, eating, excreting stool and urine, and dressing. The total score of this scale is 100, with higher scores indicating patients’ stronger ability to live. (4) Sleep efficiency assessment criteria in this study were based on the Guidelines for the Clinical Research of Chinese Medicine New Drugs and “Nimodipine Method”[11] as follows: clinical cure: normal sleep latency or sleep duration ≥ 6h at night, deep sleep, energetic status after waking up, and score reduction ≥ 95%; markedly effective: significantly improved sleep quality, sleep duration increased ≥ 3h, increased sleep depth, and score reduction ≥ 70%; effective: increased sleep duration but < 3h and score reduction ≥ 30%. Ineffective: no significant improvement in sleep duration, or even worsening, and score reduction < 30%. Total effective rate = (clinically cure + markedly effective + effective)/ total cases × 100 %. (1) Pittsburgh Sleep Quality Index scale (PSQI)[8] covers 7 items (sleep latency, hypnotic drug use, sleep duration, daytime dysfunction, sleep efficiency, sleep quality, and sleep disturbance). The scale has a score range of 0 to 21, with higher scores suggesting poorer sleep quality. (2) Emotional status was evaluated by the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) developed by Zung.[9] Each scale has 20 items, and scores below 50 are considered normal, whereas scores ≥ 50 indicate the presence of significant anxiety or depression (higher scores indicate more severe anxiety and depression). (3) Activity Of Daily Living Scale (ADL)[10] involves multiple motions such as going up and down stairs, eating, excreting stool and urine, and dressing. The total score of this scale is 100, with higher scores indicating patients’ stronger ability to live. (4) Sleep efficiency assessment criteria in this study were based on the Guidelines for the Clinical Research of Chinese Medicine New Drugs and “Nimodipine Method”[11] as follows: clinical cure: normal sleep latency or sleep duration ≥ 6h at night, deep sleep, energetic status after waking up, and score reduction ≥ 95%; markedly effective: significantly improved sleep quality, sleep duration increased ≥ 3h, increased sleep depth, and score reduction ≥ 70%; effective: increased sleep duration but < 3h and score reduction ≥ 30%. Ineffective: no significant improvement in sleep duration, or even worsening, and score reduction < 30%. Total effective rate = (clinically cure + markedly effective + effective)/ total cases × 100 %. 2.4. Statistical analysis SPSS22.0 was used for data analysis. Measurement data were expressed as mean ± standard deviation (x¯±s), and a t-test was used for comparison between groups. Enumeration data were expressed by frequency, and the χ2 test was used for comparison between groups. In addition, P < .05 indicated a significant difference. SPSS22.0 was used for data analysis. Measurement data were expressed as mean ± standard deviation (x¯±s), and a t-test was used for comparison between groups. Enumeration data were expressed by frequency, and the χ2 test was used for comparison between groups. In addition, P < .05 indicated a significant difference. 2.1. Patient selection and general information: In this single-blind, exploratory, randomized, controlled study 102 patients with stroke treated in our hospital from September 2019 to December 2020 were assessed for eligibility and recruited. All eligible patients were randomized at a ratio of 1:1 via the random envelope method to either an observation group or a control group. The patients and their families were informed about the purpose and significance of the study before the study and signed the informed consent form. This study was reviewed and approved by the medical ethics committee of our hospital. Following were the inclusion criteria for this study: stroke determined by the diagnostic criteria of the Academic Conference on Stroke,[5] supported by cranial CT (or MRI) imaging evidence; age 40 to 70 years; disease course within 6 months; and informed consent form signed by patients or their families. Following were the exclusion criteria for this study: severe heart, liver, kidney, and other organ diseases; long-term use of psychotropic drugs or sedatives; and noncompliance of patients or their families. The First People’s Hospital of Huzhou City’s medical ethics committee granted its approval for this study (approval No. 2021KYLL019). 2.2. Methods: The intervention team was established before this study, consisting of 1 doctor each from the neurology and acupuncture departments, one rehabilitation technician, and 4 specialist nurses. 2.2.1. Control group. Individuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education. Individuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education. 2.2.2. Observation group. Patients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks). Patients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks). 2.2.1. Control group.: Individuals in the control group received TCMRN, including TCM-based emotional nursing, TCM-based diet nursing, and TCM-based rehabilitation: TCM-based emotional nursing: TCM-based emotional nursing originated from the HuangdiNeijing.[6] Patients were provided targeted psychological counseling based on TCM theories. In addition, we explained the relationship between the 7 human emotions and internal injuries in TCM to further guide patients on self-control of their emotions, or suggested patients listen to soft music before bed to nourish their minds and improve low mood; TCM-based diet nursing: Patients receive dialectical diet training under the guidance of TCM theory. In addition, they were ensured 3 regular meals, appropriate food pairing with the “5 tastes” of “cold” and “warmth”, and encouraged to eat foods with medicinal properties; TCM-based rehabilitation: We instructed the good limb position and the motor training of the affected limb function and administered patients with back-patting or massage along channels (once/d). In addition, local pressing with beans on auricular points Shen Men, Heart, Sympathetic, and Subcortical acupoints were performed (3–5 times/d, approximately 3 min each time), followed by acupoint patching (lasting 2–4 d). Redness, heat, and swelling of the ears suggested the appropriate level of pressure. Finally, we performed 4-week nursing education. 2.2.2. Observation group.: Patients in the observation group received TCMRN + SA. Specifically, disposable filiform needles (0.25 mm × 40 mm) procured from Suzhou Wuzhong District Dongfang Acupuncture Instrument Factory were used for SA according to the international standardized protocol for head acupuncture and brain functional region localization.[7] Specifically, the frontal midline, the healthy anterior parieto-temporal oblique line, and the posterior parieto-temporal oblique line were acupunctured. In addition, the point-through-point method was used and the needle tip was directed downward at 15° to 20° to the scalp. We performed twirling of the needle first, followed by lifting ‐ inserting. In addition, the needle was retained for 1 hour after needling response, during which twirling of the needle was performed every 30 minutes (once/d for 4 weeks). 2.3. Outcome measures: (1) Pittsburgh Sleep Quality Index scale (PSQI)[8] covers 7 items (sleep latency, hypnotic drug use, sleep duration, daytime dysfunction, sleep efficiency, sleep quality, and sleep disturbance). The scale has a score range of 0 to 21, with higher scores suggesting poorer sleep quality. (2) Emotional status was evaluated by the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) developed by Zung.[9] Each scale has 20 items, and scores below 50 are considered normal, whereas scores ≥ 50 indicate the presence of significant anxiety or depression (higher scores indicate more severe anxiety and depression). (3) Activity Of Daily Living Scale (ADL)[10] involves multiple motions such as going up and down stairs, eating, excreting stool and urine, and dressing. The total score of this scale is 100, with higher scores indicating patients’ stronger ability to live. (4) Sleep efficiency assessment criteria in this study were based on the Guidelines for the Clinical Research of Chinese Medicine New Drugs and “Nimodipine Method”[11] as follows: clinical cure: normal sleep latency or sleep duration ≥ 6h at night, deep sleep, energetic status after waking up, and score reduction ≥ 95%; markedly effective: significantly improved sleep quality, sleep duration increased ≥ 3h, increased sleep depth, and score reduction ≥ 70%; effective: increased sleep duration but < 3h and score reduction ≥ 30%. Ineffective: no significant improvement in sleep duration, or even worsening, and score reduction < 30%. Total effective rate = (clinically cure + markedly effective + effective)/ total cases × 100 %. 2.4. Statistical analysis: SPSS22.0 was used for data analysis. Measurement data were expressed as mean ± standard deviation (x¯±s), and a t-test was used for comparison between groups. Enumeration data were expressed by frequency, and the χ2 test was used for comparison between groups. In addition, P < .05 indicated a significant difference. 3. Results: 3.1. Comparison of general information between the 2 groups Finally, 51patients in the control group and 51 patients in the observation group completed the study. There was no significant difference in terms of clinical data, including age, sex, hemiparesis side, type of stroke and course of disease between the 2 groups (P > .05), as shown in (Table 1) Comparison of general information between the 2 groups. Finally, 51patients in the control group and 51 patients in the observation group completed the study. There was no significant difference in terms of clinical data, including age, sex, hemiparesis side, type of stroke and course of disease between the 2 groups (P > .05), as shown in (Table 1) Comparison of general information between the 2 groups. 3.2. Comparison of PSQI scores for each item and total scores before and after intervention between the 2 groups After the intervention, the PSQI scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01). (Table 2) Comparison of PSQI scores for each item and total scores between the 2 groups (x¯±s). PSQI = Pittsburgh Sleep Quality Index Scale. After the intervention, the PSQI scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01). (Table 2) Comparison of PSQI scores for each item and total scores between the 2 groups (x¯±s). PSQI = Pittsburgh Sleep Quality Index Scale. 3.3. Comparison of SAS, SDS, and ADL scores before and after intervention between the two groups After the intervention, the SDS, as well as SAS scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01).ADL scores in the observation group also differed considerably from those in the control group (P < .01). (Table 3) Comparison of SAS, SDS, and ADL scores between the 2 groups. ADL = Activity of Daily Living Scale, SAS = Self-rating Anxiety Scale, SDS = Self-rating Depression Scale. After the intervention, the SDS, as well as SAS scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01).ADL scores in the observation group also differed considerably from those in the control group (P < .01). (Table 3) Comparison of SAS, SDS, and ADL scores between the 2 groups. ADL = Activity of Daily Living Scale, SAS = Self-rating Anxiety Scale, SDS = Self-rating Depression Scale. 3.4. Comparison of sleep efficiency after intervention between the two groups After treatment, the observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective, with a total efficacy of 90.19%. The control group had 11 cases of clinical cure,13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective, with a total efficacy of 70.59%. The sleep efficiency rate in the observation group (90.19%) was significantly substantially higher than that in the control group (70.59%) (P < .05). It shows that TCMRN + SA can effectively improve the sleep quality of patients. (Table 4, Fig. 1) Comparison of sleep efficiency between the 2 groups. Comparison of sleep efficiency between the 2 groups. The observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective. The control group had 11 cases of clinical cure, 13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective. After treatment, the observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective, with a total efficacy of 90.19%. The control group had 11 cases of clinical cure,13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective, with a total efficacy of 70.59%. The sleep efficiency rate in the observation group (90.19%) was significantly substantially higher than that in the control group (70.59%) (P < .05). It shows that TCMRN + SA can effectively improve the sleep quality of patients. (Table 4, Fig. 1) Comparison of sleep efficiency between the 2 groups. Comparison of sleep efficiency between the 2 groups. The observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective. The control group had 11 cases of clinical cure, 13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective. 3.1. Comparison of general information between the 2 groups: Finally, 51patients in the control group and 51 patients in the observation group completed the study. There was no significant difference in terms of clinical data, including age, sex, hemiparesis side, type of stroke and course of disease between the 2 groups (P > .05), as shown in (Table 1) Comparison of general information between the 2 groups. 3.2. Comparison of PSQI scores for each item and total scores before and after intervention between the 2 groups: After the intervention, the PSQI scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01). (Table 2) Comparison of PSQI scores for each item and total scores between the 2 groups (x¯±s). PSQI = Pittsburgh Sleep Quality Index Scale. 3.3. Comparison of SAS, SDS, and ADL scores before and after intervention between the two groups: After the intervention, the SDS, as well as SAS scores of individuals in the observation group were lower in comparison to the individuals in the control group (P < .01).ADL scores in the observation group also differed considerably from those in the control group (P < .01). (Table 3) Comparison of SAS, SDS, and ADL scores between the 2 groups. ADL = Activity of Daily Living Scale, SAS = Self-rating Anxiety Scale, SDS = Self-rating Depression Scale. 3.4. Comparison of sleep efficiency after intervention between the two groups: After treatment, the observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective, with a total efficacy of 90.19%. The control group had 11 cases of clinical cure,13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective, with a total efficacy of 70.59%. The sleep efficiency rate in the observation group (90.19%) was significantly substantially higher than that in the control group (70.59%) (P < .05). It shows that TCMRN + SA can effectively improve the sleep quality of patients. (Table 4, Fig. 1) Comparison of sleep efficiency between the 2 groups. Comparison of sleep efficiency between the 2 groups. The observation group had 20 cases of clinical cure, 15 cases of markedly effective, 11 cases of effective, and 5 cases of ineffective. The control group had 11 cases of clinical cure, 13 cases of markedly effective, 12 cases of effective, and 15 cases of ineffective. 4. Discussion: Stroke, one of the highly disabling and fatal diseases in China in recent years, causes neurological and physical dysfunction, which poses a great disturbance to patients’ life and work.[12] At present, in addition to conventional rehabilitation therapies, drugs, especially psychotropic drugs, are primarily used to treat stroke-related complications such as sleep disturbance, mood disorders, and physical dysfunction; however, the long-term use of these drugs is prone to drug resistance.[13] According to TCM theory, stroke is primarily caused by emotional depression and anger, improper diet, and excessive exertion. In this study, we developed the TCMRN + SA scheme based on TCM theory to accelerate the recovery of patients, which is of great significance in clinical settings. Based on the holistic concept of TCM and the dialectical nursing theory, TCMRN utilizes traditional nursing methods to care for patients with the aid of rehabilitation medical tools, traditional rehabilitation training, and health-preserving methods. SA, a treatment method developed based on traditional acupuncture, is widely used in specific functional areas of the head to prevent and treat disease and has become an effective therapy for treating stroke-related dysfunction.[14] The present study observed significant differences in sleep-quality-related item scores and total scores, sleep-quality intervention effects, and ADL scores between the observation group and the control group (P < .05), indicating that TCMRN + SA can improve negative emotions and quality of life in patients with stroke. According to TCM theory, the pathogenesis of stroke is the interaction of wind, fire, phlegm, stasis, and deficiency. The upwelling of blood to the brain and the lack of spirit preservation leads to emotional disorders, stagnation of the channels, and hemiplegia. Overall, these established findings provide the TCM theoretical basis for the use of TCMRN + SA. In this study, TCM-based emotional nursing improved the effect of emotional counseling by identifying the type of emotional abnormalities in patients and taking targeted counseling measures. By ensuring the patient’s proper diet and the consumption of foods with medicinal properties, the patient’s physique was significantly improved. The back-patting and massage along channels promoted the smooth flow of stagnant meridians, improved blood circulation in the limbs, and enhanced life activities, thereby improving the patients’ quality of life. In addition, the stimulation of the Shen Men, Heart, Sympathetic, and Subcortical acupoints in the ear effectively regulated the function of the internal organs of the patients, reduced the foci of excitation in the cerebral cortex, achieved a balance of yin and yang, alleviated negative emotions in the patients, thereby improving sleep efficiency and quality of life.[15] SA targeting the corresponding functional regions[16] increased the excitability and sensitivity of neuronal cells in the cerebral cortex, promoted the recovery of brain cells in the reversible damage zone and damaged nerve cells, and accelerated the recovery of limb function in patients, thereby improving the quality of life of patients with stroke. In summary, the optimized treatment scheme–TCMRN + SA can effectively improve the negative emotion and quality of life of patients with stroke. In addition, it has the advantages of high safety, good patient compliance, and few side effects, and is worthy of clinical promotion. However, this study has some limitations due to the lack of long-term follow-up data. Therefore, more in-depth studies are needed to provide a further theoretical basis for clinical research. Author contributions: Conceptualization: Jing-Jun Xie, Jin-Xia Li. Data curation: Jing-Jun Xie, Qi Sun. Formal analysis: Jing-Jun Xie, Jin-Xia Li. Investigation: Jing-Jun Xie,Jian-Li Cai Project administration: Jin-Xia Li. Resources: Jing-Jun Xie, Qi Sun, Jian-Li Cai. Supervision: Jin-Xia Li. Validation: Jin-Xia Li. Writing ‐ original draft: Jing-Jun Xie. Writing ‐ review & editing: Jing-Jun Xie, Jin-Xia Li.
Background: This study aimed to analyze the effect of traditional Chinese medicine-based rehabilitation nursing combined with scalp acupuncture (TCMRN + SA) on negative emotions and the quality of life of patients with stroke. Methods: 102 patients with stroke admitted to The First People's Hospital of Huzhou from September 2019 to December 2020 were included in this study using the convenience sampling method and split into an observation group and a control group at random (n = 51 in each group). Individuals in the control group received TCMRN, whereas patients in the observation group received TCMRN + SA. Furthermore, the negative emotions and quality of life of the individuals in both groups were evaluated before and after the intervention using the Pittsburgh sleep quality index scale, Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), as well as Activity of Daily Living Scale. Furthermore, the efficiency of the sleep-quality intervention between the 2 groups was compared. Results: After the intervention, the Pittsburgh sleep quality index scale, SDS, as well as self-rating anxiety scale scores of individuals in the observation group were considerably lower in comparison to the individuals in the control group (P < .01). Activity of daily living scale scores in the observation group also differed considerably from those in the control group (P < .01). Moreover, the sleep quality efficiency rate in the observation group (90.19% [46/51]) was substantially higher than that in the control group (70.59% [36/51]) (P < .05). Conclusions: TCMRN + SA can effectively improve patients' negative emotions and quality of life and is worthy of clinical promotion and application.
null
null
7,367
329
[ 2989, 265, 154, 320, 61, 71, 62, 97, 200, 119 ]
15
[ "patients", "tcm", "group", "sleep", "based", "cases", "tcm based", "nursing", "control", "scores" ]
[ "traditional acupuncture", "therapy treating stroke", "scalp acupuncture sa", "acupuncture brain functional", "head acupuncture brain" ]
null
null
[CONTENT] negative emotion | quality of life | scalp acupuncture | stroke | traditional Chinese medicine-based nursing [SUMMARY]
[CONTENT] negative emotion | quality of life | scalp acupuncture | stroke | traditional Chinese medicine-based nursing [SUMMARY]
[CONTENT] negative emotion | quality of life | scalp acupuncture | stroke | traditional Chinese medicine-based nursing [SUMMARY]
null
[CONTENT] negative emotion | quality of life | scalp acupuncture | stroke | traditional Chinese medicine-based nursing [SUMMARY]
null
[CONTENT] Humans | Quality of Life | Medicine, Chinese Traditional | Rehabilitation Nursing | Scalp | Acupuncture Therapy | Stroke | Emotions [SUMMARY]
[CONTENT] Humans | Quality of Life | Medicine, Chinese Traditional | Rehabilitation Nursing | Scalp | Acupuncture Therapy | Stroke | Emotions [SUMMARY]
[CONTENT] Humans | Quality of Life | Medicine, Chinese Traditional | Rehabilitation Nursing | Scalp | Acupuncture Therapy | Stroke | Emotions [SUMMARY]
null
[CONTENT] Humans | Quality of Life | Medicine, Chinese Traditional | Rehabilitation Nursing | Scalp | Acupuncture Therapy | Stroke | Emotions [SUMMARY]
null
[CONTENT] traditional acupuncture | therapy treating stroke | scalp acupuncture sa | acupuncture brain functional | head acupuncture brain [SUMMARY]
[CONTENT] traditional acupuncture | therapy treating stroke | scalp acupuncture sa | acupuncture brain functional | head acupuncture brain [SUMMARY]
[CONTENT] traditional acupuncture | therapy treating stroke | scalp acupuncture sa | acupuncture brain functional | head acupuncture brain [SUMMARY]
null
[CONTENT] traditional acupuncture | therapy treating stroke | scalp acupuncture sa | acupuncture brain functional | head acupuncture brain [SUMMARY]
null
[CONTENT] patients | tcm | group | sleep | based | cases | tcm based | nursing | control | scores [SUMMARY]
[CONTENT] patients | tcm | group | sleep | based | cases | tcm based | nursing | control | scores [SUMMARY]
[CONTENT] patients | tcm | group | sleep | based | cases | tcm based | nursing | control | scores [SUMMARY]
null
[CONTENT] patients | tcm | group | sleep | based | cases | tcm based | nursing | control | scores [SUMMARY]
null
[CONTENT] stroke | traditional | traditional chinese | traditional chinese medicine | easy | acupuncture | life | physical | recovery | medicine [SUMMARY]
[CONTENT] tcm | tcm based | based | nursing | needle | addition | performed | patients | nursing tcm based | nursing tcm [SUMMARY]
[CONTENT] cases | group | comparison | effective | scores | groups | 11 cases | cases markedly effective | cases ineffective | cases effective [SUMMARY]
null
[CONTENT] tcm | group | cases | sleep | patients | scores | based | comparison | tcm based | scale [SUMMARY]
null
[CONTENT] Chinese | TCMRN [SUMMARY]
[CONTENT] 102 | The First People's Hospital of Huzhou | September 2019 to December 2020 | 51 ||| TCMRN ||| Pittsburgh | Self-Rating Depression Scale | Self-Rating Anxiety Scale | SAS ||| 2 [SUMMARY]
[CONTENT] Pittsburgh | SDS ||| ||| 90.19% | 46/51 | 70.59% | 36/51 [SUMMARY]
null
[CONTENT] Chinese | TCMRN ||| 102 | The First People's Hospital of Huzhou | September 2019 to December 2020 | 51 ||| TCMRN ||| Pittsburgh | Self-Rating Depression Scale | Self-Rating Anxiety Scale | SAS ||| 2 ||| Pittsburgh | SDS ||| ||| 90.19% | 46/51 | 70.59% | 36/51 ||| TCMRN [SUMMARY]
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Can Non-Physician Providers Use Ultrasound to Aid in Establishing Peripheral IV Access in Patients Who are Difficult to Cannulate? A Scoping Review.
35593145
Non-physician performed point-of-care ultrasound (POCUS) is emerging as a diagnostic adjunct with the potential to enhance current practice. The scope of POCUS utility is broad and well-established in-hospital, yet limited research has occurred in the out-of-hospital environment. Many physician-based studies expound the value of POCUS in the acute setting as a therapeutic and diagnostic tool. This study utilized a scoping review methodology to map the literature pertaining to non-physician use of POCUS to improve success of peripheral intravenous access (PIVA), especially in patients predicted to be difficult to cannulate.
INTRODUCTION
Ovid MEDLINE, CINAHL Plus, EMBASE, and PubMed were searched from January 1, 1990 through April 15, 2021. A thorough search of the grey literature and reference lists of relevant articles was also performed to identify additional studies. Articles were included if they examined non-physician utilization of ultrasound-guided PIVA (USGPIVA) for patients anticipated to be difficult to cannulate.
METHODS
A total of 158 articles were identified. A total of 16 articles met the inclusion criteria. The majority of participants had varied experience with ultrasound, making accurate comparison difficult. Training and education were non-standardized, as was the approach to determining difficult intravenous access (DIVA). Despite this, the majority of the studies demonstrated high first attempt and overall success rates for PIVA performed by non-physicians.
RESULTS
Non-physician USGPIVA appears to be a superior method for PIVA when difficulty is anticipated. Additional benefits include reduced requirement for central venous catheter (CVC) or intraosseous (IO) needle placement. Paramedics, nurses, and emergency department (ED) technicians are able to achieve competence in this skill with relatively little training. Further research is required to explore the utility of this practice in the out-of-hospital environment.
CONCLUSION
[ "Emergency Service, Hospital", "Humans", "Infusions, Intraosseous", "Physicians", "Point-of-Care Testing", "Ultrasonography" ]
9280064
Introduction
Peripheral intravenous (IV) catheterization is one of the most commonly performed procedures by non-physicians in both the emergency department (ED) and out-of-hospital environment. 1–3 Presently, most providers employ the conventional peripheral intravenous access (PIVA) method, with difficulty often encountered in both anatomically challenging and critically unwell patients. 1,2 The overall failure of PIVA is reportedly from 10% through 40% in EDs, intensive care units, and in the out-of-hospital setting. 4 Failure of the first attempt has been reported to occur in up to 67% of patients requiring subsequent or multiple punctures. 5 Ultrasound-guided PIVA (USGPIVA) occurs routinely in the hospital setting when difficulty is either predicted or encountered. In-hospital clinical studies indicate that ultrasound guidance significantly improves the overall success rate of PIVA and reduces the number of punctures required, time to successful PIVA, physician intervention, and rate of central venous catheter (CVC) insertion. 4,6–10 The implications of failed or inadequate PIVA are varied, often resulting in escalation to a more senior clinician and potentially an alternative vascular access strategy. 9,10 Alternative vascular access is often achieved through the insertion of a CVC in-hospital and intraosseous (IO) access in the out-of-hospital environment. 9,11 Both CVC and IO insertion expose the patient to a range of additional risks that could be avoided with successful PIVA, including bloodstream infection fat emboli, pneumothorax, large artery puncture, impaired flow rates, and osteomyelitis. 9,12 These are undesirable risks for patients where PIVA is less-invasive and sufficiently meets care requirements. Determining patients at risk for difficult intravenous access (DIVA) has historically relied on the clinicians’ experience and clinical gestalt. Patient characteristics associated with difficult PIVA have been identified and developed into externally validated assessment tools that are predictive of adult patients at risk of DIVA, including the Adult – Difficult Intravenous Access (A-DIVA) scale. 13 Increased availability and portability of handheld ultrasound devices has made this practice a realistic consideration for the out-of-hospital setting. Paired with a predictive A-DIVA scale, the adoption of point-of-care ultrasound (POCUS) can significantly improve first attempt success, reduce the occurrence of multiple punctures, and reduce overall time to successful PIVA. 5,13 The efficacy of USGPIVA in-hospital is firmly established when performed by physicians, 14 but such data are not available for non-physicians, particularly in the out-of-hospital environment. This paper aimed to identify the available evidence for the utility of POCUS in anticipated difficult PIVA by non-physicians.
Methods
The authors searched, compiled, and reviewed the available literature relating to paramedic use of POCUS to establish IV access in the out-of-hospital environment. Preliminary searches of EMBASE (Elsevier; Amsterdam, Netherlands) and Ovid (Ovid Technologies; New York, New York USA) databases revealed limited literature on the subject. The study used a scoping review methodology in order to develop a specific research question. In alignment with established scoping review procedure, the study included peer and non-peer-reviewed articles in addition to grey literature. This study employed the six-stage methodology as described by Levac, et al. 15 The research question was identified as: “Can non-physicians use ultrasound to aid in establishing IV access in patients who are difficult to cannulate?” After initial review of the literature, the authors decided upon this question as it was felt to both capture a range of articles while remaining focused enough to facilitate a search strategy. A preliminary search of online databases EMBASE and Ovid was conducted to identify literature relevant to the topic. Keywords and index terms from the retrieved articles were analyzed and then included in the second search. The online databases Ovid MEDLINE (US National Library of Medicine, National Institutes of Health; Bethesda, Maryland USA); EMBASE; PubMed (National Center for Biotechnology Information, National Institutes of Health; Bethesda, Maryland USA); and CINAHL Plus (EBSCO Information Services; Ipswich, Massachusetts USA) were then searched from January 1, 1990 through April 15, 2021 including the identified terms, Medical Subject Headings (MeSH terms), and keywords relevant to out-of-hospital care, paramedics, and ultrasound-guided peripheral IV cannulation. A thorough search of the grey literature and reference lists of relevant papers was also appraised to identify additional articles. The search strategy consisted of Boolean terms and operators within the population/concept/context (PCC) format (Table 1). Table 1.Summary of Population/Concept/Context (PCC) Search TermsPCC ElementDefinitionSearch TermPopulationParticipant features▪ Adults >18 years▪ Anticipated difficult IV accessConceptInterventions/outcomes▪ Utilization of US device to achieve peripheral IV access▪ IV access.mp▪ Intravenous access.mp▪ Peripheral venous access.mp▪ Vascular access.mp▪ Catheterization, peripheral/▪ Ultrasound-guided.mp▪ Ultrasound-guided procedure.mp▪ Venous ultrasound.mp▪ Ultraso*.mp▪ Vascular ultraso*.mp▪ POCUS.mpContextDetails of setting▪ Any setting▪ Non-physician providers▪ Out of hospital.tw▪ Emergency department.tw▪ Emergency medical services.sh▪ Emergency medical technicians.sh▪ HEMS.tw▪ Ambulance.tw▪ Ambulances.sh▪ EMS.tw▪ EMT.tw▪ Emergency services.tw▪ First responder*.tw▪ Pre hospital.tw▪ Pre-hospital.tw▪ Paramedic.tw▪ Non-physician.twAbbreviations: IV, intravenous; POCUS, point-of-care ultrasound; HEMS, helicopter Emergency Medical Services; EMS, Emergency Medical Services; EMT, emergency medical technician. Summary of Population/Concept/Context (PCC) Search Terms Abbreviations: IV, intravenous; POCUS, point-of-care ultrasound; HEMS, helicopter Emergency Medical Services; EMS, Emergency Medical Services; EMT, emergency medical technician. Eligibility was defined by: (1) non-physicians in any setting utilizing POCUS to guide peripheral venous cannulation, and (2) published from January 1, 1990 through April 15, 2021. The time period was determined after preliminary search produced no studies of relevance prior to 1990. In addition, small and portable POCUS devices are technologically modern and have only been adopted into medical practice in more recent times. 16 Studies were excluded if they were performed by physicians, literature reviews, not published in English, based on opinion or commentary, and if they were based on training or simulation. The databases were searched by one author (SB). Duplicates were then removed, followed by eligibility screening of titles and abstracts by three authors (SB, BM, and JD). The full texts of the remaining articles were then sourced and reviewed (Figure 1). A “descriptive analytical” approach was used to extract relevant data from each of the studies. This has then been collated into table form to provide an overview of the 17 articles selected for inclusion. Key information was identified and charted as per common analytical framework. 17 Figure 1.Flow Diagram Showing Identification of Studies Evaluating Non-Physician USGPIVA for Patients Anticipated to be Difficult.Abbreviation: USGPIVA, ultrasound-guided peripheral intravenous access. Flow Diagram Showing Identification of Studies Evaluating Non-Physician USGPIVA for Patients Anticipated to be Difficult. Abbreviation: USGPIVA, ultrasound-guided peripheral intravenous access. A total of 16 studies were included in the review, comprising eight prospective observational studies, three retrospective observational studies, two randomized control trials, one prospective non-blinded randomized control trial, one retrospective cohort study, and one prospective, randomized, comparative evaluation. The summary results are depicted below in addition to a summary in Table 2. 4,5,9,10,18–29 Table 2.Study Characteristics and Educational ApproachStudyParticipantsStudy DesignAimSettingProtocol DetailsEducationAcuña, et al202019 NursesParamedicsProspective Observational StudyEvaluate performance of a handheld US device for difficult PIVA as performed by nurses/paramedics in the EDED – United StatesDiscretionary assessment of difficulty by operator based on failed attempts or perceived difficulty.Patients deemed difficult were enrolled and assigned either USGPIVA or SOC.Success defined as catheter visualized within the vessel and able to be flushed easily.Device – Philips Lumify.8-hour educational session (lecture and didactic education).Familiarization with POCUS device and how to optimize image quality.Ault, et al 201523 NursesProspective Observational StudyTo determine the number of US-guided IV placements required for a nurse to develop proficiency and consistencyMedical Procedure Center – United StatesDifficulty assessed by operators if there was a lack of a palpable or visible vessel or if the patient had a history of requiring US-guided IV access or central venous access.Proficiency determined by 10 successful supervised attempts and proficiency score of 4 or 5 for 3 consecutive attempts.Device – Sonosite M-Turbo.3-phase educational program including 1:1 didactic session, demonstration of proficiency on phantom model, and supervised attempts on live patients.Bahl, et al 201620 NursesProspective, Non-Blinded, Randomized Control TrialInvestigated the outcomes associated with nurse performed US- guided IV access when compared to landmark approach on difficult vascular access patientsED – United StatesPatients presenting to ED were randomized to 1 of 2 cannulation techniques. Either USGPIVA or SOC (landmark method).Success was determined by the extraction of 5ml of non-pulsatile blood or flush of 5ml normal saline.Developed robust inclusion criteria to select DIVA patients.Device – Sonosite M-Turbo.Participants attended a 1.5-hour didactic educational session, followed by hands on familiarization.Certification was provided upon 10 successful IV placements.Duran-Gehring, et al201624 ED TechniciansRetrospective Review of Prospectively Collected DataTo determine the success and complication rates of ED technicians performing US-guided peripheral IV placementED – United StatesNone of the participants had prior US experience.An algorithm was developed to predict difficult IV with physician input.Patients were then potentially enrolled to receive up to 3 US-guided IV attempts by the participants with success, failure, and complication rates recorded.Device – Sonosite M-Turbo.18 emergency technicians (paramedics) enlisted to participate.3-phase educational program beginning with training, demonstration of competence, and then clinical application.McCarthy, et al201625 ED TechniciansRandomized Control Trial with a 2-Group Parallel DesignTo determine the superior method of IV placement in patients with varying levels of difficultyED – United StatesPatients enrolled were sorted into easy access, moderately difficult, and difficult access groups.Enrolled patients were then randomized and assigned to either USGPIVA or SOC.If first attempt failed, the patient was then randomized a second time to a procedure.Device – Sonosite M-Turbo or Zonare Ultra.All of the participants were familiar and proficient with the procedure as part of their existing practice.Oliveira, et al201626 NursesMilitary CorpsmenProspective Observational StudyTo develop a program to train nurses, corpsmen, and physicians in US-guided IV placement and assess the degree of success in outcomesMilitary Hospital – United StatesTwo of the nurse participants had prior US experience.The program developed was not defined in this study.Device – Sonosite M-Turbo.8 nurses and 8 corpsmen participated in the study.Nurses and corpsmen were required to attend one training session, comprised of a 30-minute didactic session, and complete 3 supervised US-guided IV placements.Price, et al 201922 NursesED TechniciansProspective, Randomized, Comparative Evaluation StudyTo determine if US-guided IV placement first attempt success is improved with double tourniquet techniqueTertiary Care Hospital ED – United StatesPatients had to have had one failed blind attempt at IV placement, >18 years old, and predicted to be difficult to be enrolled in the study.Patients enrolled were then randomized to either single or double tourniquet technique followed by USGPIVA.Device – Sonosite X-Porte.All participants had minimum 1 year experience with the procedure and no education was offered prior to commencement of the study.Resnick, et al200827 NursesProspective, Randomized, Comparison StudyTo compare the practice of no skin marking versus no skin marking when performing US-guided PIVAED – United StatesParticipants were categorized by the number of USGPIVA attempts and experience they previously had.Patients were enrolled and randomized to either no skin marking or skin marking approach.UGPIVA was then attempted either with or without skin marking.Device – Sonosite Titan L38.Nurses were given a 2-hour educational session including simulated practice on phantom models.Salleras-Duran, et al20164 NursesDescriptive, Observational StudyTo examine the success of US-guided IV placement in patients predicted to be difficultED – SpainAll patients requiring peripheral IV, >18 years old, and met requirements for US-guided IV placement were included.Patients indicated for US-guided IV placement were those determined difficult by the nurse operator using a 10-point Likert scale.Nurses recorded variables after each procedure for evaluation.Device – N/A.Participants completed a 20-huor training course covering US basic concepts and simulated practice.Schoenfeld, et al201128 ED TechniciansProspective Observational StudyTo assess the success of ED technicians when placing US-guided peripheral IV cathetersED – United StatesAt least two attempts at traditional IV placement had to have occurred, and/or patients with established history of difficult access requiring alternative intervention to be included in the study.Technicians completed a survey at the completion of each survey, documenting a range of variables.Device – Sonosite M-Turbo.19 ED technicians participated in the study.Participants completed a 2-hour training session that was didactic and hands-on.Shokohi, et al20139 ED TechniciansRetrospective Cohort StudyTo assess whether the introduction of US-guided IV access program in the ED resulted in less CVC useED – United StatesStudy period was 6 years.Investigators observed the rate of CVC placement after the implementation of an US-guided IV placement program.Device – N/A.Technicians were provided with 2-hour educational session comprised of both didactic and hands-on learning.Skulec, et al 20205 ParamedicsControlled, Prospective, Randomized, Non-Blinded Clinical StudyTo compare two different approaches of US-guided IV placement and the landmark method of IV placement by paramedicsOut-of-Hospital – Czech Republic5 paramedics participated in the study.Patients were included if they were conscious and indicated for prehospital IV placement.Enrolled patients were then randomized in a predefined 1:1:1 ratio to IV insertion fully controlled by US guidance, IV insertion partially controlled by US guidance (target vein identification only), or landmark method.Device – GE Vscan Dual Probe.Paramedics were naïve to US prior to commencement of the study.Paramedics attended a 1-day emergency POCUS course for beginners that comprised of both hands-on and didactic education sessions.Stolz, et al 201618 NursesParamedicsProspective Observational StudyTo determine how many attempts were required to achieve proficiency with US-guided IV placement in nurses and paramedicsED – United StatesAll participants were previously naïve to the USGPIVA placement procedure but proficient in traditional PIVA.Interested nurses or paramedic could electively enroll in the training to participate in the program.Participants were required to complete a survey after each procedure, documenting variables for collection.Device – Mindray M7 and Ultrasonix SonixTouch.33 participants were included in the study.Each were provided with 2-hours of training including didactic and hands components.Vinograd, et al201829 NursesProspective Observational StudyTo examine the success, complications, and longevity of US-guided IVs placed in a pediatric EDED – United StatesPatients were included after multiple failed blind attempts, a history of difficulty, educational purposes, and patient or family request.Participants completed a survey after each procedure and documented key information.Device – N/A.24 nurses participated in this study.Nurse participants were provided with 4-hour training session including didactic and hands-on components.Weiner, et al201310 NursesTwo-Site, Prospective, Non-Blinded, Pilot StudyTo determine if trained emergency nurses can place US-guided IVs and subsequently require less physician interventionED – United StatesPatients were enrolled in a convenience sample and assigned to either SOC or US-guided IV arm.Patients were included if they were adults, indicated for IV access, and were predicted to be difficult.Device – Sonosite M-Turbo and Zonarae z.one Ultra Convertible Ultrasound System.Each participant was provided with 2-hour training session including didactic and hands-on components.Miles, et al 201221 NursesProspective, Multicenter, Pilot StudyTo evaluate the success of program implemented to facilitate nurse led US-guided PIVA in the EDED – United StatesPatients were eligible for inclusion if they either had two failed blind attempts or reported a history of DIVA.Consenting patients were assigned to have either US-guided IV access or SOC.Device – Sonosite MicroMaxx Portable.Participants received 8-hour tutorial from experienced emergency physician including didactic and hands-on elements.Abbreviations: ED, emergency department; US, ultrasound; PIVA, peripheral intravenous access; IV, intravenous; CVC, central venous catheter; USGPIVA, ultrasound-guided PIVA; SOC, standard of care; DIVA, difficult intravenous access; POCUS, point-of-care ultrasound. Study Characteristics and Educational Approach Abbreviations: ED, emergency department; US, ultrasound; PIVA, peripheral intravenous access; IV, intravenous; CVC, central venous catheter; USGPIVA, ultrasound-guided PIVA; SOC, standard of care; DIVA, difficult intravenous access; POCUS, point-of-care ultrasound.
Results
The initial search generated 151 articles after six duplicates were removed. The titles and abstracts of the relevant articles were then screened for inclusion and 120 were excluded as per the study protocol (Figure 1). One additional study was identified through a grey literature search of Google Scholar (Google Inc.; Mountain View, California USA) and added to the review. The final review included a total of 16 studies, the characteristics of which are presented in Table 2. Participants The participant population varied between nurses, paramedics, and emergency technicians. Experience was also varied with some operators proficient with USGPIVA placement and others naïve to POCUS. Most studies included a combined cohort of clinicians with a broad range of clinical experience. Only one study described a paramedic-only cohort and was solely based in the out-of-hospital setting. The participant population varied between nurses, paramedics, and emergency technicians. Experience was also varied with some operators proficient with USGPIVA placement and others naïve to POCUS. Most studies included a combined cohort of clinicians with a broad range of clinical experience. Only one study described a paramedic-only cohort and was solely based in the out-of-hospital setting. Scan Protocol Three out of the 16 studies examined paramedic application of USGPIVA, two within the ED and one out-of-hospital. 5,18,19 Each study measured different outcomes making it difficult to compare and evaluate performance. Acuña, et al aimed to evaluate the performance of a handheld POCUS device as used by paramedics and nurses to perform USGPIVA in the ED. The study enrolled a cohort of 483 participants and reported first attempt success of 84% using a discretionary approach to determine difficulty. 19 The only out-of-hospital study was a randomized, control trial performed by Skulec, et al and evaluated paramedics’ success performing USGPIVA with a handheld POCUS device. 5 Only five paramedics participated in the study, however, 300 patients were enrolled and randomized equally into three groups. Group A received USGPIVA access under complete ultrasound guidance where the catheter was visualized to enter the lumen of the vessel. Group B was partially guided where ultrasound was used to identify the target vessel only. Finally, Group C received standard of care via the landmark approach. 5 The third study by Stolz, et al was set in an ED and aimed to determine the number of attempts required to achieve proficiency with USGPIVA. The participants enrolled 796 patients and achieved an overall success of 88.24%. 18 All of the participants were previously naïve to POCUS and the determinants of difficulty used in the study were not included in the report. Assessment of difficulty of IV access varied considerably between the studies and was largely arbitrary. Most studies had an inclusion criterion of two failed blind attempts. Characteristics of difficulty included the patient reporting history of difficulty, inability to palpate a vessel, and significant comorbidities. Bahl, et al developed the most robust inclusion criteria, including: (1) the patient reports a history of “difficult stick;” (2) experienced at least one previous episode where two or more attempts were required to obtain a peripheral IV; and (3) at least one of the following: (a) prior history of a rescue catheter as a result of an inability to obtain a peripheral IV, (b) history of end-stage renal disease, (c) history of IV drug abuse, or (d) history of sickle cell disease. 20 The approach to ultrasound technique was consistent throughout many of the studies. Eleven of the 16 reviewed studies taught a single operator, dynamic technique and encouraged participants to begin their attempt on the transverse short axis. Miles, et al observed nurse participants typically preferred the transverse approach initially, incorporating the longitudinal approach with more experience. 21 Four of the studies didn’t describe the ultrasound approach they taught or used in the study. Price, et al utilized the transverse approach to measure vessels but didn’t describe the approach to catheterization. 22 Three out of the 16 studies examined paramedic application of USGPIVA, two within the ED and one out-of-hospital. 5,18,19 Each study measured different outcomes making it difficult to compare and evaluate performance. Acuña, et al aimed to evaluate the performance of a handheld POCUS device as used by paramedics and nurses to perform USGPIVA in the ED. The study enrolled a cohort of 483 participants and reported first attempt success of 84% using a discretionary approach to determine difficulty. 19 The only out-of-hospital study was a randomized, control trial performed by Skulec, et al and evaluated paramedics’ success performing USGPIVA with a handheld POCUS device. 5 Only five paramedics participated in the study, however, 300 patients were enrolled and randomized equally into three groups. Group A received USGPIVA access under complete ultrasound guidance where the catheter was visualized to enter the lumen of the vessel. Group B was partially guided where ultrasound was used to identify the target vessel only. Finally, Group C received standard of care via the landmark approach. 5 The third study by Stolz, et al was set in an ED and aimed to determine the number of attempts required to achieve proficiency with USGPIVA. The participants enrolled 796 patients and achieved an overall success of 88.24%. 18 All of the participants were previously naïve to POCUS and the determinants of difficulty used in the study were not included in the report. Assessment of difficulty of IV access varied considerably between the studies and was largely arbitrary. Most studies had an inclusion criterion of two failed blind attempts. Characteristics of difficulty included the patient reporting history of difficulty, inability to palpate a vessel, and significant comorbidities. Bahl, et al developed the most robust inclusion criteria, including: (1) the patient reports a history of “difficult stick;” (2) experienced at least one previous episode where two or more attempts were required to obtain a peripheral IV; and (3) at least one of the following: (a) prior history of a rescue catheter as a result of an inability to obtain a peripheral IV, (b) history of end-stage renal disease, (c) history of IV drug abuse, or (d) history of sickle cell disease. 20 The approach to ultrasound technique was consistent throughout many of the studies. Eleven of the 16 reviewed studies taught a single operator, dynamic technique and encouraged participants to begin their attempt on the transverse short axis. Miles, et al observed nurse participants typically preferred the transverse approach initially, incorporating the longitudinal approach with more experience. 21 Four of the studies didn’t describe the ultrasound approach they taught or used in the study. Price, et al utilized the transverse approach to measure vessels but didn’t describe the approach to catheterization. 22 Education and Training The approach to training in the reviewed studies was significantly varied and ranged from 90 minutes to 20 hours. All of the training packages included a blend of didactic and hands-on learning, while only some required supervised attempts to assess proficiency. The educational approach of each study is summarized in Table 3. Table 3.Outcome Measures and Ultrasonographic ApproachStudy# Patients/ParticipantsOutcome MeasureFirst Stick Success (%) (USG)Overall Success (%)# PuncturesUS ApproachAcuña, et al 202019 483• Success rate of USGPIVA placement• Complications associated with USGPIVA• Adequacy of handheld device for USGPIVA placement• Confidence level in performing USGPIVA with handheld device84% First Attempt Success92% Overall SuccessN/AIn-plane 70%Out-of-plane 10%Not documented 20%Ault, et al 201523 8 Nurses (Patients Not Recorded)• Number of USGPIVA placements that needed to be performed under supervision to achieve proficiency and consistency• Number of minutes required for successful vessel cannulation• Associated complicationsN/AN/AN/AN/ABahl, et al 201620 124• USGPIVA success rate• Time to USGPIVA placementN/A76% Overall SuccessMeanUSGPIVA: 1.52 per subjectSOC: 1.71 per subjectN/ADuran-Gehring, et al201624 830• First attempt success USGPIVA• Overall PIV success• Number of blind punctures prior to USGPIVA97.5% Overall Success86.8% First Attempt SuccessMeanSOC: 2.1 per subjectUSGPIC: N/AVeins were examined in both transverse/long-axis planes to determine depth and widthSingle operator, transverse, out-of-plane approach for cannulationRotate to long-axis to confirm position of catheter within lumen of the vesselMcCarthy, et al201625 1,617• Success/failure on initial/second attempt• Occurrence of a complication• Patient reported pain associated with the procedure (0-10)• Duration of first attempt82%-86% Regardless of Difficulty80.9% Overall SuccessN/ADynamic, single operator techniqueUS utilized to visualize and guide the needle into the lumenOliveira, et al201626 65• Success of physicians, nurses, and corpsmen utilizing USGPIVA• Number of attemptsNurses: 63.2%Corpsmen: 50%Participants all novice with <5 USGPIVA procedures performed before study commencementN/AAverage 2.8 per patientSingle operator, dynamic techniqueParticipants encouraged to utilize transverse/longitudinal techniquesA novel combination approach taught, involved participants inserting needle in transverse position then rotating probe longitudinally visualize the catheter in the vesselPrice, et al 201922 100• First attempt success rate between double tourniquet and single tourniquet groups (USGPIVA)Single Tourniquet –79.2%Double Tourniquet – 76.5%Single Tourniquet – 97.9%Double Tourniquet – 98%Average 1 per patient (USGPIVA)Participants measured vessels in short-axis orientationApproach to achieve cannulation was not reportedResnick, et al200827 101• Success of skin marking procedure (USGPIVA)• Procedural time• Perceived reason for blind failure• Target vein selection• Depth of target vein• Number of skin punctures• Length of catheter in the vein• Associated complications59.6% First Attempt Success (Varying Experience)73% Second AttemptN/ATarget vessel identified; depth measured in short-axisCatheters were inserted using a dynamic, single operator techniqueAll operators began the procedure in short-axis view and allowed to change to long-axis view if struggling to gain accessSalleras-Duran, et al 20164 103• Nurse perception of difficulty• Success rate USGPIVA overall/first attempt• Catheter longevity• Patient satisfaction84.2% First Attempt Success95.1% Overall SuccessN/AN/ASchoenfeld, et al201128 219• Success rate of USGPIVA• Complication rate• Rate of success based on previous ED technician experience with both standard approach and USGPIVA78.5% First Attempt SuccessNot ReportedMean 1.35 (SD = 0.56)Dynamic, single operator techniqueBoth transverse/longitudinal methods were taughtParticipants encouraged to begin with transverse methodShokoohi, et al20139 401,532• Central venous catheter placement rateN/AN/AN/AN/ASkulec, et al 20205 300• Compare first attempt success between three groups of varying approach• Compare overall success of cannulation• Number of attempts for successful cannulation• Time required to achieve cannulation• Prehospital complicationsFully USG technique where needle visualized to penetrate lumen (Group A) – 88%Partial USG technique visualizing target vessel only (Group B) – 94%Landmark approach (Group C) – 76%Group A – 99%Group B – 99%Group C – 90%Group A: 1.20 (SD = 0.57)Group B: 1.07 (SD = 0.29)Group C: 1.45 (SD = 0.90)P <.001Scanning with transverse probe orientation to identify target veinCompression test to differentiate between vein and arteryColor doppler was used optionally by the operatorParticipants instructed to preferentially use transverse approachStolz, et al 201618 796• Number of attempts required to achieve proficiency and consistency• Overall success rate• Determinants of difficultyN/A88.24% Overall SuccessN/AIn-plane, longitudinal approach where needle was guided into the vessel was emphasized for PIV accessParticipants familiarized with color doppler, compression technique, and transverse methodVinograd, et al201829 58 (300 USGPIVA Attempts)• First attempt success• Complication rates• USPGIV longevity68% First Attempt Success91% Overall SuccessN/AAll PIVs were placed using the dynamic method in the short-axisWeiner, et al201310 50• Rate of physician intervention• Mean time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of pain on 10-point scaleN/AN/AMean: 2Dynamic, single operator techniqueNurses were instructed to use the transverse approach at 45° oblique angle to the vesselMiles. et al 201221 9 Initial Participants• Rate of physician intervention• Time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of painN/AN/AN/ANurses were taught both transverse/longitudinal approachesParticipants typically preferred transverse method until more experiencedAbbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care. Outcome Measures and Ultrasonographic Approach Abbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care. The approach to training in the reviewed studies was significantly varied and ranged from 90 minutes to 20 hours. All of the training packages included a blend of didactic and hands-on learning, while only some required supervised attempts to assess proficiency. The educational approach of each study is summarized in Table 3. Table 3.Outcome Measures and Ultrasonographic ApproachStudy# Patients/ParticipantsOutcome MeasureFirst Stick Success (%) (USG)Overall Success (%)# PuncturesUS ApproachAcuña, et al 202019 483• Success rate of USGPIVA placement• Complications associated with USGPIVA• Adequacy of handheld device for USGPIVA placement• Confidence level in performing USGPIVA with handheld device84% First Attempt Success92% Overall SuccessN/AIn-plane 70%Out-of-plane 10%Not documented 20%Ault, et al 201523 8 Nurses (Patients Not Recorded)• Number of USGPIVA placements that needed to be performed under supervision to achieve proficiency and consistency• Number of minutes required for successful vessel cannulation• Associated complicationsN/AN/AN/AN/ABahl, et al 201620 124• USGPIVA success rate• Time to USGPIVA placementN/A76% Overall SuccessMeanUSGPIVA: 1.52 per subjectSOC: 1.71 per subjectN/ADuran-Gehring, et al201624 830• First attempt success USGPIVA• Overall PIV success• Number of blind punctures prior to USGPIVA97.5% Overall Success86.8% First Attempt SuccessMeanSOC: 2.1 per subjectUSGPIC: N/AVeins were examined in both transverse/long-axis planes to determine depth and widthSingle operator, transverse, out-of-plane approach for cannulationRotate to long-axis to confirm position of catheter within lumen of the vesselMcCarthy, et al201625 1,617• Success/failure on initial/second attempt• Occurrence of a complication• Patient reported pain associated with the procedure (0-10)• Duration of first attempt82%-86% Regardless of Difficulty80.9% Overall SuccessN/ADynamic, single operator techniqueUS utilized to visualize and guide the needle into the lumenOliveira, et al201626 65• Success of physicians, nurses, and corpsmen utilizing USGPIVA• Number of attemptsNurses: 63.2%Corpsmen: 50%Participants all novice with <5 USGPIVA procedures performed before study commencementN/AAverage 2.8 per patientSingle operator, dynamic techniqueParticipants encouraged to utilize transverse/longitudinal techniquesA novel combination approach taught, involved participants inserting needle in transverse position then rotating probe longitudinally visualize the catheter in the vesselPrice, et al 201922 100• First attempt success rate between double tourniquet and single tourniquet groups (USGPIVA)Single Tourniquet –79.2%Double Tourniquet – 76.5%Single Tourniquet – 97.9%Double Tourniquet – 98%Average 1 per patient (USGPIVA)Participants measured vessels in short-axis orientationApproach to achieve cannulation was not reportedResnick, et al200827 101• Success of skin marking procedure (USGPIVA)• Procedural time• Perceived reason for blind failure• Target vein selection• Depth of target vein• Number of skin punctures• Length of catheter in the vein• Associated complications59.6% First Attempt Success (Varying Experience)73% Second AttemptN/ATarget vessel identified; depth measured in short-axisCatheters were inserted using a dynamic, single operator techniqueAll operators began the procedure in short-axis view and allowed to change to long-axis view if struggling to gain accessSalleras-Duran, et al 20164 103• Nurse perception of difficulty• Success rate USGPIVA overall/first attempt• Catheter longevity• Patient satisfaction84.2% First Attempt Success95.1% Overall SuccessN/AN/ASchoenfeld, et al201128 219• Success rate of USGPIVA• Complication rate• Rate of success based on previous ED technician experience with both standard approach and USGPIVA78.5% First Attempt SuccessNot ReportedMean 1.35 (SD = 0.56)Dynamic, single operator techniqueBoth transverse/longitudinal methods were taughtParticipants encouraged to begin with transverse methodShokoohi, et al20139 401,532• Central venous catheter placement rateN/AN/AN/AN/ASkulec, et al 20205 300• Compare first attempt success between three groups of varying approach• Compare overall success of cannulation• Number of attempts for successful cannulation• Time required to achieve cannulation• Prehospital complicationsFully USG technique where needle visualized to penetrate lumen (Group A) – 88%Partial USG technique visualizing target vessel only (Group B) – 94%Landmark approach (Group C) – 76%Group A – 99%Group B – 99%Group C – 90%Group A: 1.20 (SD = 0.57)Group B: 1.07 (SD = 0.29)Group C: 1.45 (SD = 0.90)P <.001Scanning with transverse probe orientation to identify target veinCompression test to differentiate between vein and arteryColor doppler was used optionally by the operatorParticipants instructed to preferentially use transverse approachStolz, et al 201618 796• Number of attempts required to achieve proficiency and consistency• Overall success rate• Determinants of difficultyN/A88.24% Overall SuccessN/AIn-plane, longitudinal approach where needle was guided into the vessel was emphasized for PIV accessParticipants familiarized with color doppler, compression technique, and transverse methodVinograd, et al201829 58 (300 USGPIVA Attempts)• First attempt success• Complication rates• USPGIV longevity68% First Attempt Success91% Overall SuccessN/AAll PIVs were placed using the dynamic method in the short-axisWeiner, et al201310 50• Rate of physician intervention• Mean time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of pain on 10-point scaleN/AN/AMean: 2Dynamic, single operator techniqueNurses were instructed to use the transverse approach at 45° oblique angle to the vesselMiles. et al 201221 9 Initial Participants• Rate of physician intervention• Time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of painN/AN/AN/ANurses were taught both transverse/longitudinal approachesParticipants typically preferred transverse method until more experiencedAbbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care. Outcome Measures and Ultrasonographic Approach Abbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care.
Conclusion
Ultrasound-guided PIVA for non-physician health care providers appears to be a feasible and effective extension to already established practice. Nurses, paramedics, and ED technicians appear to be able to achieve proficiency, consistency, and a high degree of success when learning and performing USGPIVA. Variations in success were accounted for by variations in experience, which was demonstrated to improve with on-going acquired experience. The lack of a standardized DIVA assessment tool makes it difficult to reliably compare studies. Very little literature exists exploring the feasibility and success of paramedics performing USGPIVA in the out-of-hospital environment. Further studies incorporating a standardized DIVA assessment tool and set in the out-of-hospital environment would aid in validating the clinical utility for POCUS and USGPIVA.
[ "Participants", "Scan Protocol", "Education and Training", "Recommendations" ]
[ "The participant population varied between nurses, paramedics, and emergency technicians. Experience was also varied with some operators proficient with USGPIVA placement and others naïve to POCUS. Most studies included a combined cohort of clinicians with a broad range of clinical experience. Only one study described a paramedic-only cohort and was solely based in the out-of-hospital setting.", "Three out of the 16 studies examined paramedic application of USGPIVA, two within the ED and one out-of-hospital.\n5,18,19\n Each study measured different outcomes making it difficult to compare and evaluate performance. Acuña, et al aimed to evaluate the performance of a handheld POCUS device as used by paramedics and nurses to perform USGPIVA in the ED. The study enrolled a cohort of 483 participants and reported first attempt success of 84% using a discretionary approach to determine difficulty.\n19\n The only out-of-hospital study was a randomized, control trial performed by Skulec, et al and evaluated paramedics’ success performing USGPIVA with a handheld POCUS device.\n5\n Only five paramedics participated in the study, however, 300 patients were enrolled and randomized equally into three groups. Group A received USGPIVA access under complete ultrasound guidance where the catheter was visualized to enter the lumen of the vessel. Group B was partially guided where ultrasound was used to identify the target vessel only. Finally, Group C received standard of care via the landmark approach.\n5\n The third study by Stolz, et al was set in an ED and aimed to determine the number of attempts required to achieve proficiency with USGPIVA. The participants enrolled 796 patients and achieved an overall success of 88.24%.\n18\n All of the participants were previously naïve to POCUS and the determinants of difficulty used in the study were not included in the report.\nAssessment of difficulty of IV access varied considerably between the studies and was largely arbitrary. Most studies had an inclusion criterion of two failed blind attempts. Characteristics of difficulty included the patient reporting history of difficulty, inability to palpate a vessel, and significant comorbidities. Bahl, et al developed the most robust inclusion criteria, including: (1) the patient reports a history of “difficult stick;” (2) experienced at least one previous episode where two or more attempts were required to obtain a peripheral IV; and (3) at least one of the following: (a) prior history of a rescue catheter as a result of an inability to obtain a peripheral IV, (b) history of end-stage renal disease, (c) history of IV drug abuse, or (d) history of sickle cell disease.\n20\n\n\nThe approach to ultrasound technique was consistent throughout many of the studies. Eleven of the 16 reviewed studies taught a single operator, dynamic technique and encouraged participants to begin their attempt on the transverse short axis. Miles, et al observed nurse participants typically preferred the transverse approach initially, incorporating the longitudinal approach with more experience.\n21\n Four of the studies didn’t describe the ultrasound approach they taught or used in the study. Price, et al utilized the transverse approach to measure vessels but didn’t describe the approach to catheterization.\n22\n\n", "The approach to training in the reviewed studies was significantly varied and ranged from 90 minutes to 20 hours. All of the training packages included a blend of didactic and hands-on learning, while only some required supervised attempts to assess proficiency. The educational approach of each study is summarized in Table 3.\n\nTable 3.Outcome Measures and Ultrasonographic ApproachStudy# Patients/ParticipantsOutcome MeasureFirst Stick Success (%) (USG)Overall Success (%)# PuncturesUS ApproachAcuña, et al 202019\n483• Success rate of USGPIVA placement• Complications associated with USGPIVA• Adequacy of handheld device for USGPIVA placement• Confidence level in performing USGPIVA with handheld device84% First Attempt Success92% Overall SuccessN/AIn-plane 70%Out-of-plane 10%Not documented 20%Ault, et al 201523\n8 Nurses (Patients Not Recorded)• Number of USGPIVA placements that needed to be performed under supervision to achieve proficiency and consistency• Number of minutes required for successful vessel cannulation• Associated complicationsN/AN/AN/AN/ABahl, et al 201620\n124• USGPIVA success rate• Time to USGPIVA placementN/A76% Overall SuccessMeanUSGPIVA: 1.52 per subjectSOC: 1.71 per subjectN/ADuran-Gehring, et al201624\n830• First attempt success USGPIVA• Overall PIV success• Number of blind punctures prior to USGPIVA97.5% Overall Success86.8% First Attempt SuccessMeanSOC: 2.1 per subjectUSGPIC: N/AVeins were examined in both transverse/long-axis planes to determine depth and widthSingle operator, transverse, out-of-plane approach for cannulationRotate to long-axis to confirm position of catheter within lumen of the vesselMcCarthy, et al201625\n1,617• Success/failure on initial/second attempt• Occurrence of a complication• Patient reported pain associated with the procedure (0-10)• Duration of first attempt82%-86% Regardless of Difficulty80.9% Overall SuccessN/ADynamic, single operator techniqueUS utilized to visualize and guide the needle into the lumenOliveira, et al201626\n65• Success of physicians, nurses, and corpsmen utilizing USGPIVA• Number of attemptsNurses: 63.2%Corpsmen: 50%Participants all novice with <5 USGPIVA procedures performed before study commencementN/AAverage 2.8 per patientSingle operator, dynamic techniqueParticipants encouraged to utilize transverse/longitudinal techniquesA novel combination approach taught, involved participants inserting needle in transverse position then rotating probe longitudinally visualize the catheter in the vesselPrice, et al 201922\n100• First attempt success rate between double tourniquet and single tourniquet groups (USGPIVA)Single Tourniquet –79.2%Double Tourniquet – 76.5%Single Tourniquet – 97.9%Double Tourniquet – 98%Average 1 per patient (USGPIVA)Participants measured vessels in short-axis orientationApproach to achieve cannulation was not reportedResnick, et al200827\n101• Success of skin marking procedure (USGPIVA)• Procedural time• Perceived reason for blind failure• Target vein selection• Depth of target vein• Number of skin punctures• Length of catheter in the vein• Associated complications59.6% First Attempt Success (Varying Experience)73% Second AttemptN/ATarget vessel identified; depth measured in short-axisCatheters were inserted using a dynamic, single operator techniqueAll operators began the procedure in short-axis view and allowed to change to long-axis view if struggling to gain accessSalleras-Duran, et al 20164\n103• Nurse perception of difficulty• Success rate USGPIVA overall/first attempt• Catheter longevity• Patient satisfaction84.2% First Attempt Success95.1% Overall SuccessN/AN/ASchoenfeld, et al201128\n219• Success rate of USGPIVA• Complication rate• Rate of success based on previous ED technician experience with both standard approach and USGPIVA78.5% First Attempt SuccessNot ReportedMean 1.35 (SD = 0.56)Dynamic, single operator techniqueBoth transverse/longitudinal methods were taughtParticipants encouraged to begin with transverse methodShokoohi, et al20139\n401,532• Central venous catheter placement rateN/AN/AN/AN/ASkulec, et al 20205\n300• Compare first attempt success between three groups of varying approach• Compare overall success of cannulation• Number of attempts for successful cannulation• Time required to achieve cannulation• Prehospital complicationsFully USG technique where needle visualized to penetrate lumen (Group A) – 88%Partial USG technique visualizing target vessel only (Group B) – 94%Landmark approach (Group C) – 76%Group A – 99%Group B – 99%Group C – 90%Group A: 1.20 (SD = 0.57)Group B: 1.07 (SD = 0.29)Group C: 1.45 (SD = 0.90)P <.001Scanning with transverse probe orientation to identify target veinCompression test to differentiate between vein and arteryColor doppler was used optionally by the operatorParticipants instructed to preferentially use transverse approachStolz, et al 201618\n796• Number of attempts required to achieve proficiency and consistency• Overall success rate• Determinants of difficultyN/A88.24% Overall SuccessN/AIn-plane, longitudinal approach where needle was guided into the vessel was emphasized for PIV accessParticipants familiarized with color doppler, compression technique, and transverse methodVinograd, et al201829\n58 (300 USGPIVA Attempts)• First attempt success• Complication rates• USPGIV longevity68% First Attempt Success91% Overall SuccessN/AAll PIVs were placed using the dynamic method in the short-axisWeiner, et al201310\n50• Rate of physician intervention• Mean time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of pain on 10-point scaleN/AN/AMean: 2Dynamic, single operator techniqueNurses were instructed to use the transverse approach at 45° oblique angle to the vesselMiles. et al 201221\n9 Initial Participants• Rate of physician intervention• Time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of painN/AN/AN/ANurses were taught both transverse/longitudinal approachesParticipants typically preferred transverse method until more experiencedAbbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care.\n\nOutcome Measures and Ultrasonographic Approach\nAbbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care.", "The clinical definition of “difficult” IV access remains arbitrary and non-standardized. Literature exploring the characteristics associated with DIVA exists, and there has been movement toward the creation of a validated assessment scale that could be utilized to predict DIVA in adult patients. Further investigation into the value of USGPIVA for non-physician providers would benefit from a standardized definition of DIVA.\nThe clinical application of USGPIVA in the in-hospital setting is reasonably well-demonstrated with a growing body of evidence supporting implementation of non-physician-based USGPIVA. Literature examining the application of this practice with both a handheld POCUS device and paramedics in the out-of-hospital environment is scarce. This review identified only one study of such a design.\nA large, randomized, controlled trial incorporating a standardized DIVA tool with non-physician providers in the out-of-hospital environment would be valuable to broaden the scope of USGPIVA and measure paramedic proficiency. The study would ideally consider first attempt success, overall success, USGPIVA versus landmark method, time to achieve PIVA, number of skin punctures, operator experience, and any associated complications." ]
[ "other", "other", "other", "other" ]
[ "Introduction", "Methods", "Results", "Participants", "Scan Protocol", "Education and Training", "Discussion", "Recommendations", "Limitations", "Conclusion" ]
[ "Peripheral intravenous (IV) catheterization is one of the most commonly performed procedures by non-physicians in both the emergency department (ED) and out-of-hospital environment.\n1–3\n Presently, most providers employ the conventional peripheral intravenous access (PIVA) method, with difficulty often encountered in both anatomically challenging and critically unwell patients.\n1,2\n The overall failure of PIVA is reportedly from 10% through 40% in EDs, intensive care units, and in the out-of-hospital setting.\n4\n Failure of the first attempt has been reported to occur in up to 67% of patients requiring subsequent or multiple punctures.\n5\n\n\nUltrasound-guided PIVA (USGPIVA) occurs routinely in the hospital setting when difficulty is either predicted or encountered. In-hospital clinical studies indicate that ultrasound guidance significantly improves the overall success rate of PIVA and reduces the number of punctures required, time to successful PIVA, physician intervention, and rate of central venous catheter (CVC) insertion.\n4,6–10\n The implications of failed or inadequate PIVA are varied, often resulting in escalation to a more senior clinician and potentially an alternative vascular access strategy.\n9,10\n Alternative vascular access is often achieved through the insertion of a CVC in-hospital and intraosseous (IO) access in the out-of-hospital environment.\n9,11\n Both CVC and IO insertion expose the patient to a range of additional risks that could be avoided with successful PIVA, including bloodstream infection fat emboli, pneumothorax, large artery puncture, impaired flow rates, and osteomyelitis.\n9,12\n These are undesirable risks for patients where PIVA is less-invasive and sufficiently meets care requirements.\nDetermining patients at risk for difficult intravenous access (DIVA) has historically relied on the clinicians’ experience and clinical gestalt. Patient characteristics associated with difficult PIVA have been identified and developed into externally validated assessment tools that are predictive of adult patients at risk of DIVA, including the Adult – Difficult Intravenous Access (A-DIVA) scale.\n13\n\n\nIncreased availability and portability of handheld ultrasound devices has made this practice a realistic consideration for the out-of-hospital setting. Paired with a predictive A-DIVA scale, the adoption of point-of-care ultrasound (POCUS) can significantly improve first attempt success, reduce the occurrence of multiple punctures, and reduce overall time to successful PIVA.\n5,13\n The efficacy of USGPIVA in-hospital is firmly established when performed by physicians,\n14\n but such data are not available for non-physicians, particularly in the out-of-hospital environment. This paper aimed to identify the available evidence for the utility of POCUS in anticipated difficult PIVA by non-physicians.", "The authors searched, compiled, and reviewed the available literature relating to paramedic use of POCUS to establish IV access in the out-of-hospital environment. Preliminary searches of EMBASE (Elsevier; Amsterdam, Netherlands) and Ovid (Ovid Technologies; New York, New York USA) databases revealed limited literature on the subject. The study used a scoping review methodology in order to develop a specific research question. In alignment with established scoping review procedure, the study included peer and non-peer-reviewed articles in addition to grey literature. This study employed the six-stage methodology as described by Levac, et al.\n15\n\n\nThe research question was identified as: “Can non-physicians use ultrasound to aid in establishing IV access in patients who are difficult to cannulate?” After initial review of the literature, the authors decided upon this question as it was felt to both capture a range of articles while remaining focused enough to facilitate a search strategy.\nA preliminary search of online databases EMBASE and Ovid was conducted to identify literature relevant to the topic. Keywords and index terms from the retrieved articles were analyzed and then included in the second search. The online databases Ovid MEDLINE (US National Library of Medicine, National Institutes of Health; Bethesda, Maryland USA); EMBASE; PubMed (National Center for Biotechnology Information, National Institutes of Health; Bethesda, Maryland USA); and CINAHL Plus (EBSCO Information Services; Ipswich, Massachusetts USA) were then searched from January 1, 1990 through April 15, 2021 including the identified terms, Medical Subject Headings (MeSH terms), and keywords relevant to out-of-hospital care, paramedics, and ultrasound-guided peripheral IV cannulation. A thorough search of the grey literature and reference lists of relevant papers was also appraised to identify additional articles. The search strategy consisted of Boolean terms and operators within the population/concept/context (PCC) format (Table 1).\n\nTable 1.Summary of Population/Concept/Context (PCC) Search TermsPCC ElementDefinitionSearch TermPopulationParticipant features▪ Adults >18 years▪ Anticipated difficult IV accessConceptInterventions/outcomes▪ Utilization of US device to achieve peripheral IV access▪ IV access.mp▪ Intravenous access.mp▪ Peripheral venous access.mp▪ Vascular access.mp▪ Catheterization, peripheral/▪ Ultrasound-guided.mp▪ Ultrasound-guided procedure.mp▪ Venous ultrasound.mp▪ Ultraso*.mp▪ Vascular ultraso*.mp▪ POCUS.mpContextDetails of setting▪ Any setting▪ Non-physician providers▪ Out of hospital.tw▪ Emergency department.tw▪ Emergency medical services.sh▪ Emergency medical technicians.sh▪ HEMS.tw▪ Ambulance.tw▪ Ambulances.sh▪ EMS.tw▪ EMT.tw▪ Emergency services.tw▪ First responder*.tw▪ Pre hospital.tw▪ Pre-hospital.tw▪ Paramedic.tw▪ Non-physician.twAbbreviations: IV, intravenous; POCUS, point-of-care ultrasound; HEMS, helicopter Emergency Medical Services; EMS, Emergency Medical Services; EMT, emergency medical technician.\n\nSummary of Population/Concept/Context (PCC) Search Terms\nAbbreviations: IV, intravenous; POCUS, point-of-care ultrasound; HEMS, helicopter Emergency Medical Services; EMS, Emergency Medical Services; EMT, emergency medical technician.\nEligibility was defined by: (1) non-physicians in any setting utilizing POCUS to guide peripheral venous cannulation, and (2) published from January 1, 1990 through April 15, 2021. The time period was determined after preliminary search produced no studies of relevance prior to 1990. In addition, small and portable POCUS devices are technologically modern and have only been adopted into medical practice in more recent times.\n16\n Studies were excluded if they were performed by physicians, literature reviews, not published in English, based on opinion or commentary, and if they were based on training or simulation.\nThe databases were searched by one author (SB). Duplicates were then removed, followed by eligibility screening of titles and abstracts by three authors (SB, BM, and JD). The full texts of the remaining articles were then sourced and reviewed (Figure 1). A “descriptive analytical” approach was used to extract relevant data from each of the studies. This has then been collated into table form to provide an overview of the 17 articles selected for inclusion. Key information was identified and charted as per common analytical framework.\n17\n\n\n\nFigure 1.Flow Diagram Showing Identification of Studies Evaluating Non-Physician USGPIVA for Patients Anticipated to be Difficult.Abbreviation: USGPIVA, ultrasound-guided peripheral intravenous access.\n\nFlow Diagram Showing Identification of Studies Evaluating Non-Physician USGPIVA for Patients Anticipated to be Difficult.\nAbbreviation: USGPIVA, ultrasound-guided peripheral intravenous access.\nA total of 16 studies were included in the review, comprising eight prospective observational studies, three retrospective observational studies, two randomized control trials, one prospective non-blinded randomized control trial, one retrospective cohort study, and one prospective, randomized, comparative evaluation. The summary results are depicted below in addition to a summary in Table 2.\n4,5,9,10,18–29\n\n\n\nTable 2.Study Characteristics and Educational ApproachStudyParticipantsStudy DesignAimSettingProtocol DetailsEducationAcuña, et al202019\nNursesParamedicsProspective Observational StudyEvaluate performance of a handheld US device for difficult PIVA as performed by nurses/paramedics in the EDED – United StatesDiscretionary assessment of difficulty by operator based on failed attempts or perceived difficulty.Patients deemed difficult were enrolled and assigned either USGPIVA or SOC.Success defined as catheter visualized within the vessel and able to be flushed easily.Device – Philips Lumify.8-hour educational session (lecture and didactic education).Familiarization with POCUS device and how to optimize image quality.Ault, et al 201523\nNursesProspective Observational StudyTo determine the number of US-guided IV placements required for a nurse to develop proficiency and consistencyMedical Procedure Center – United StatesDifficulty assessed by operators if there was a lack of a palpable or visible vessel or if the patient had a history of requiring US-guided IV access or central venous access.Proficiency determined by 10 successful supervised attempts and proficiency score of 4 or 5 for 3 consecutive attempts.Device – Sonosite M-Turbo.3-phase educational program including 1:1 didactic session, demonstration of proficiency on phantom model, and supervised attempts on live patients.Bahl, et al 201620\nNursesProspective, Non-Blinded, Randomized Control TrialInvestigated the outcomes associated with nurse performed US- guided IV access when compared to landmark approach on difficult vascular access patientsED – United StatesPatients presenting to ED were randomized to 1 of 2 cannulation techniques. Either USGPIVA or SOC (landmark method).Success was determined by the extraction of 5ml of non-pulsatile blood or flush of 5ml normal saline.Developed robust inclusion criteria to select DIVA patients.Device – Sonosite M-Turbo.Participants attended a 1.5-hour didactic educational session, followed by hands on familiarization.Certification was provided upon 10 successful IV placements.Duran-Gehring, et al201624\nED TechniciansRetrospective Review of Prospectively Collected DataTo determine the success and complication rates of ED technicians performing US-guided peripheral IV placementED – United StatesNone of the participants had prior US experience.An algorithm was developed to predict difficult IV with physician input.Patients were then potentially enrolled to receive up to 3 US-guided IV attempts by the participants with success, failure, and complication rates recorded.Device – Sonosite M-Turbo.18 emergency technicians (paramedics) enlisted to participate.3-phase educational program beginning with training, demonstration of competence, and then clinical application.McCarthy, et al201625\nED TechniciansRandomized Control Trial with a 2-Group Parallel DesignTo determine the superior method of IV placement in patients with varying levels of difficultyED – United StatesPatients enrolled were sorted into easy access, moderately difficult, and difficult access groups.Enrolled patients were then randomized and assigned to either USGPIVA or SOC.If first attempt failed, the patient was then randomized a second time to a procedure.Device – Sonosite M-Turbo or Zonare Ultra.All of the participants were familiar and proficient with the procedure as part of their existing practice.Oliveira, et al201626\nNursesMilitary CorpsmenProspective Observational StudyTo develop a program to train nurses, corpsmen, and physicians in US-guided IV placement and assess the degree of success in outcomesMilitary Hospital – United StatesTwo of the nurse participants had prior US experience.The program developed was not defined in this study.Device – Sonosite M-Turbo.8 nurses and 8 corpsmen participated in the study.Nurses and corpsmen were required to attend one training session, comprised of a 30-minute didactic session, and complete 3 supervised US-guided IV placements.Price, et al 201922\nNursesED TechniciansProspective, Randomized, Comparative Evaluation StudyTo determine if US-guided IV placement first attempt success is improved with double tourniquet techniqueTertiary Care Hospital ED – United StatesPatients had to have had one failed blind attempt at IV placement, >18 years old, and predicted to be difficult to be enrolled in the study.Patients enrolled were then randomized to either single or double tourniquet technique followed by USGPIVA.Device – Sonosite X-Porte.All participants had minimum 1 year experience with the procedure and no education was offered prior to commencement of the study.Resnick, et al200827\nNursesProspective, Randomized, Comparison StudyTo compare the practice of no skin marking versus no skin marking when performing US-guided PIVAED – United StatesParticipants were categorized by the number of USGPIVA attempts and experience they previously had.Patients were enrolled and randomized to either no skin marking or skin marking approach.UGPIVA was then attempted either with or without skin marking.Device – Sonosite Titan L38.Nurses were given a 2-hour educational session including simulated practice on phantom models.Salleras-Duran, et al20164\nNursesDescriptive, Observational StudyTo examine the success of US-guided IV placement in patients predicted to be difficultED – SpainAll patients requiring peripheral IV, >18 years old, and met requirements for US-guided IV placement were included.Patients indicated for US-guided IV placement were those determined difficult by the nurse operator using a 10-point Likert scale.Nurses recorded variables after each procedure for evaluation.Device – N/A.Participants completed a 20-huor training course covering US basic concepts and simulated practice.Schoenfeld, et al201128\nED TechniciansProspective Observational StudyTo assess the success of ED technicians when placing US-guided peripheral IV cathetersED – United StatesAt least two attempts at traditional IV placement had to have occurred, and/or patients with established history of difficult access requiring alternative intervention to be included in the study.Technicians completed a survey at the completion of each survey, documenting a range of variables.Device – Sonosite M-Turbo.19 ED technicians participated in the study.Participants completed a 2-hour training session that was didactic and hands-on.Shokohi, et al20139\nED TechniciansRetrospective Cohort StudyTo assess whether the introduction of US-guided IV access program in the ED resulted in less CVC useED – United StatesStudy period was 6 years.Investigators observed the rate of CVC placement after the implementation of an US-guided IV placement program.Device – N/A.Technicians were provided with 2-hour educational session comprised of both didactic and hands-on learning.Skulec, et al 20205\nParamedicsControlled, Prospective, Randomized, Non-Blinded Clinical StudyTo compare two different approaches of US-guided IV placement and the landmark method of IV placement by paramedicsOut-of-Hospital – Czech Republic5 paramedics participated in the study.Patients were included if they were conscious and indicated for prehospital IV placement.Enrolled patients were then randomized in a predefined 1:1:1 ratio to IV insertion fully controlled by US guidance, IV insertion partially controlled by US guidance (target vein identification only), or landmark method.Device – GE Vscan Dual Probe.Paramedics were naïve to US prior to commencement of the study.Paramedics attended a 1-day emergency POCUS course for beginners that comprised of both hands-on and didactic education sessions.Stolz, et al 201618\nNursesParamedicsProspective Observational StudyTo determine how many attempts were required to achieve proficiency with US-guided IV placement in nurses and paramedicsED – United StatesAll participants were previously naïve to the USGPIVA placement procedure but proficient in traditional PIVA.Interested nurses or paramedic could electively enroll in the training to participate in the program.Participants were required to complete a survey after each procedure, documenting variables for collection.Device – Mindray M7 and Ultrasonix SonixTouch.33 participants were included in the study.Each were provided with 2-hours of training including didactic and hands components.Vinograd, et al201829\nNursesProspective Observational StudyTo examine the success, complications, and longevity of US-guided IVs placed in a pediatric EDED – United StatesPatients were included after multiple failed blind attempts, a history of difficulty, educational purposes, and patient or family request.Participants completed a survey after each procedure and documented key information.Device – N/A.24 nurses participated in this study.Nurse participants were provided with 4-hour training session including didactic and hands-on components.Weiner, et al201310\nNursesTwo-Site, Prospective, Non-Blinded, Pilot StudyTo determine if trained emergency nurses can place US-guided IVs and subsequently require less physician interventionED – United StatesPatients were enrolled in a convenience sample and assigned to either SOC or US-guided IV arm.Patients were included if they were adults, indicated for IV access, and were predicted to be difficult.Device – Sonosite M-Turbo and Zonarae z.one Ultra Convertible Ultrasound System.Each participant was provided with 2-hour training session including didactic and hands-on components.Miles, et al 201221\nNursesProspective, Multicenter, Pilot StudyTo evaluate the success of program implemented to facilitate nurse led US-guided PIVA in the EDED – United StatesPatients were eligible for inclusion if they either had two failed blind attempts or reported a history of DIVA.Consenting patients were assigned to have either US-guided IV access or SOC.Device – Sonosite MicroMaxx Portable.Participants received 8-hour tutorial from experienced emergency physician including didactic and hands-on elements.Abbreviations: ED, emergency department; US, ultrasound; PIVA, peripheral intravenous access; IV, intravenous; CVC, central venous catheter; USGPIVA, ultrasound-guided PIVA; SOC, standard of care; DIVA, difficult intravenous access; POCUS, point-of-care ultrasound.\n\nStudy Characteristics and Educational Approach\nAbbreviations: ED, emergency department; US, ultrasound; PIVA, peripheral intravenous access; IV, intravenous; CVC, central venous catheter; USGPIVA, ultrasound-guided PIVA; SOC, standard of care; DIVA, difficult intravenous access; POCUS, point-of-care ultrasound.", "The initial search generated 151 articles after six duplicates were removed. The titles and abstracts of the relevant articles were then screened for inclusion and 120 were excluded as per the study protocol (Figure 1). One additional study was identified through a grey literature search of Google Scholar (Google Inc.; Mountain View, California USA) and added to the review. The final review included a total of 16 studies, the characteristics of which are presented in Table 2.\nParticipants The participant population varied between nurses, paramedics, and emergency technicians. Experience was also varied with some operators proficient with USGPIVA placement and others naïve to POCUS. Most studies included a combined cohort of clinicians with a broad range of clinical experience. Only one study described a paramedic-only cohort and was solely based in the out-of-hospital setting.\nThe participant population varied between nurses, paramedics, and emergency technicians. Experience was also varied with some operators proficient with USGPIVA placement and others naïve to POCUS. Most studies included a combined cohort of clinicians with a broad range of clinical experience. Only one study described a paramedic-only cohort and was solely based in the out-of-hospital setting.\nScan Protocol Three out of the 16 studies examined paramedic application of USGPIVA, two within the ED and one out-of-hospital.\n5,18,19\n Each study measured different outcomes making it difficult to compare and evaluate performance. Acuña, et al aimed to evaluate the performance of a handheld POCUS device as used by paramedics and nurses to perform USGPIVA in the ED. The study enrolled a cohort of 483 participants and reported first attempt success of 84% using a discretionary approach to determine difficulty.\n19\n The only out-of-hospital study was a randomized, control trial performed by Skulec, et al and evaluated paramedics’ success performing USGPIVA with a handheld POCUS device.\n5\n Only five paramedics participated in the study, however, 300 patients were enrolled and randomized equally into three groups. Group A received USGPIVA access under complete ultrasound guidance where the catheter was visualized to enter the lumen of the vessel. Group B was partially guided where ultrasound was used to identify the target vessel only. Finally, Group C received standard of care via the landmark approach.\n5\n The third study by Stolz, et al was set in an ED and aimed to determine the number of attempts required to achieve proficiency with USGPIVA. The participants enrolled 796 patients and achieved an overall success of 88.24%.\n18\n All of the participants were previously naïve to POCUS and the determinants of difficulty used in the study were not included in the report.\nAssessment of difficulty of IV access varied considerably between the studies and was largely arbitrary. Most studies had an inclusion criterion of two failed blind attempts. Characteristics of difficulty included the patient reporting history of difficulty, inability to palpate a vessel, and significant comorbidities. Bahl, et al developed the most robust inclusion criteria, including: (1) the patient reports a history of “difficult stick;” (2) experienced at least one previous episode where two or more attempts were required to obtain a peripheral IV; and (3) at least one of the following: (a) prior history of a rescue catheter as a result of an inability to obtain a peripheral IV, (b) history of end-stage renal disease, (c) history of IV drug abuse, or (d) history of sickle cell disease.\n20\n\n\nThe approach to ultrasound technique was consistent throughout many of the studies. Eleven of the 16 reviewed studies taught a single operator, dynamic technique and encouraged participants to begin their attempt on the transverse short axis. Miles, et al observed nurse participants typically preferred the transverse approach initially, incorporating the longitudinal approach with more experience.\n21\n Four of the studies didn’t describe the ultrasound approach they taught or used in the study. Price, et al utilized the transverse approach to measure vessels but didn’t describe the approach to catheterization.\n22\n\n\nThree out of the 16 studies examined paramedic application of USGPIVA, two within the ED and one out-of-hospital.\n5,18,19\n Each study measured different outcomes making it difficult to compare and evaluate performance. Acuña, et al aimed to evaluate the performance of a handheld POCUS device as used by paramedics and nurses to perform USGPIVA in the ED. The study enrolled a cohort of 483 participants and reported first attempt success of 84% using a discretionary approach to determine difficulty.\n19\n The only out-of-hospital study was a randomized, control trial performed by Skulec, et al and evaluated paramedics’ success performing USGPIVA with a handheld POCUS device.\n5\n Only five paramedics participated in the study, however, 300 patients were enrolled and randomized equally into three groups. Group A received USGPIVA access under complete ultrasound guidance where the catheter was visualized to enter the lumen of the vessel. Group B was partially guided where ultrasound was used to identify the target vessel only. Finally, Group C received standard of care via the landmark approach.\n5\n The third study by Stolz, et al was set in an ED and aimed to determine the number of attempts required to achieve proficiency with USGPIVA. The participants enrolled 796 patients and achieved an overall success of 88.24%.\n18\n All of the participants were previously naïve to POCUS and the determinants of difficulty used in the study were not included in the report.\nAssessment of difficulty of IV access varied considerably between the studies and was largely arbitrary. Most studies had an inclusion criterion of two failed blind attempts. Characteristics of difficulty included the patient reporting history of difficulty, inability to palpate a vessel, and significant comorbidities. Bahl, et al developed the most robust inclusion criteria, including: (1) the patient reports a history of “difficult stick;” (2) experienced at least one previous episode where two or more attempts were required to obtain a peripheral IV; and (3) at least one of the following: (a) prior history of a rescue catheter as a result of an inability to obtain a peripheral IV, (b) history of end-stage renal disease, (c) history of IV drug abuse, or (d) history of sickle cell disease.\n20\n\n\nThe approach to ultrasound technique was consistent throughout many of the studies. Eleven of the 16 reviewed studies taught a single operator, dynamic technique and encouraged participants to begin their attempt on the transverse short axis. Miles, et al observed nurse participants typically preferred the transverse approach initially, incorporating the longitudinal approach with more experience.\n21\n Four of the studies didn’t describe the ultrasound approach they taught or used in the study. Price, et al utilized the transverse approach to measure vessels but didn’t describe the approach to catheterization.\n22\n\n\nEducation and Training The approach to training in the reviewed studies was significantly varied and ranged from 90 minutes to 20 hours. All of the training packages included a blend of didactic and hands-on learning, while only some required supervised attempts to assess proficiency. The educational approach of each study is summarized in Table 3.\n\nTable 3.Outcome Measures and Ultrasonographic ApproachStudy# Patients/ParticipantsOutcome MeasureFirst Stick Success (%) (USG)Overall Success (%)# PuncturesUS ApproachAcuña, et al 202019\n483• Success rate of USGPIVA placement• Complications associated with USGPIVA• Adequacy of handheld device for USGPIVA placement• Confidence level in performing USGPIVA with handheld device84% First Attempt Success92% Overall SuccessN/AIn-plane 70%Out-of-plane 10%Not documented 20%Ault, et al 201523\n8 Nurses (Patients Not Recorded)• Number of USGPIVA placements that needed to be performed under supervision to achieve proficiency and consistency• Number of minutes required for successful vessel cannulation• Associated complicationsN/AN/AN/AN/ABahl, et al 201620\n124• USGPIVA success rate• Time to USGPIVA placementN/A76% Overall SuccessMeanUSGPIVA: 1.52 per subjectSOC: 1.71 per subjectN/ADuran-Gehring, et al201624\n830• First attempt success USGPIVA• Overall PIV success• Number of blind punctures prior to USGPIVA97.5% Overall Success86.8% First Attempt SuccessMeanSOC: 2.1 per subjectUSGPIC: N/AVeins were examined in both transverse/long-axis planes to determine depth and widthSingle operator, transverse, out-of-plane approach for cannulationRotate to long-axis to confirm position of catheter within lumen of the vesselMcCarthy, et al201625\n1,617• Success/failure on initial/second attempt• Occurrence of a complication• Patient reported pain associated with the procedure (0-10)• Duration of first attempt82%-86% Regardless of Difficulty80.9% Overall SuccessN/ADynamic, single operator techniqueUS utilized to visualize and guide the needle into the lumenOliveira, et al201626\n65• Success of physicians, nurses, and corpsmen utilizing USGPIVA• Number of attemptsNurses: 63.2%Corpsmen: 50%Participants all novice with <5 USGPIVA procedures performed before study commencementN/AAverage 2.8 per patientSingle operator, dynamic techniqueParticipants encouraged to utilize transverse/longitudinal techniquesA novel combination approach taught, involved participants inserting needle in transverse position then rotating probe longitudinally visualize the catheter in the vesselPrice, et al 201922\n100• First attempt success rate between double tourniquet and single tourniquet groups (USGPIVA)Single Tourniquet –79.2%Double Tourniquet – 76.5%Single Tourniquet – 97.9%Double Tourniquet – 98%Average 1 per patient (USGPIVA)Participants measured vessels in short-axis orientationApproach to achieve cannulation was not reportedResnick, et al200827\n101• Success of skin marking procedure (USGPIVA)• Procedural time• Perceived reason for blind failure• Target vein selection• Depth of target vein• Number of skin punctures• Length of catheter in the vein• Associated complications59.6% First Attempt Success (Varying Experience)73% Second AttemptN/ATarget vessel identified; depth measured in short-axisCatheters were inserted using a dynamic, single operator techniqueAll operators began the procedure in short-axis view and allowed to change to long-axis view if struggling to gain accessSalleras-Duran, et al 20164\n103• Nurse perception of difficulty• Success rate USGPIVA overall/first attempt• Catheter longevity• Patient satisfaction84.2% First Attempt Success95.1% Overall SuccessN/AN/ASchoenfeld, et al201128\n219• Success rate of USGPIVA• Complication rate• Rate of success based on previous ED technician experience with both standard approach and USGPIVA78.5% First Attempt SuccessNot ReportedMean 1.35 (SD = 0.56)Dynamic, single operator techniqueBoth transverse/longitudinal methods were taughtParticipants encouraged to begin with transverse methodShokoohi, et al20139\n401,532• Central venous catheter placement rateN/AN/AN/AN/ASkulec, et al 20205\n300• Compare first attempt success between three groups of varying approach• Compare overall success of cannulation• Number of attempts for successful cannulation• Time required to achieve cannulation• Prehospital complicationsFully USG technique where needle visualized to penetrate lumen (Group A) – 88%Partial USG technique visualizing target vessel only (Group B) – 94%Landmark approach (Group C) – 76%Group A – 99%Group B – 99%Group C – 90%Group A: 1.20 (SD = 0.57)Group B: 1.07 (SD = 0.29)Group C: 1.45 (SD = 0.90)P <.001Scanning with transverse probe orientation to identify target veinCompression test to differentiate between vein and arteryColor doppler was used optionally by the operatorParticipants instructed to preferentially use transverse approachStolz, et al 201618\n796• Number of attempts required to achieve proficiency and consistency• Overall success rate• Determinants of difficultyN/A88.24% Overall SuccessN/AIn-plane, longitudinal approach where needle was guided into the vessel was emphasized for PIV accessParticipants familiarized with color doppler, compression technique, and transverse methodVinograd, et al201829\n58 (300 USGPIVA Attempts)• First attempt success• Complication rates• USPGIV longevity68% First Attempt Success91% Overall SuccessN/AAll PIVs were placed using the dynamic method in the short-axisWeiner, et al201310\n50• Rate of physician intervention• Mean time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of pain on 10-point scaleN/AN/AMean: 2Dynamic, single operator techniqueNurses were instructed to use the transverse approach at 45° oblique angle to the vesselMiles. et al 201221\n9 Initial Participants• Rate of physician intervention• Time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of painN/AN/AN/ANurses were taught both transverse/longitudinal approachesParticipants typically preferred transverse method until more experiencedAbbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care.\n\nOutcome Measures and Ultrasonographic Approach\nAbbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care.\nThe approach to training in the reviewed studies was significantly varied and ranged from 90 minutes to 20 hours. All of the training packages included a blend of didactic and hands-on learning, while only some required supervised attempts to assess proficiency. The educational approach of each study is summarized in Table 3.\n\nTable 3.Outcome Measures and Ultrasonographic ApproachStudy# Patients/ParticipantsOutcome MeasureFirst Stick Success (%) (USG)Overall Success (%)# PuncturesUS ApproachAcuña, et al 202019\n483• Success rate of USGPIVA placement• Complications associated with USGPIVA• Adequacy of handheld device for USGPIVA placement• Confidence level in performing USGPIVA with handheld device84% First Attempt Success92% Overall SuccessN/AIn-plane 70%Out-of-plane 10%Not documented 20%Ault, et al 201523\n8 Nurses (Patients Not Recorded)• Number of USGPIVA placements that needed to be performed under supervision to achieve proficiency and consistency• Number of minutes required for successful vessel cannulation• Associated complicationsN/AN/AN/AN/ABahl, et al 201620\n124• USGPIVA success rate• Time to USGPIVA placementN/A76% Overall SuccessMeanUSGPIVA: 1.52 per subjectSOC: 1.71 per subjectN/ADuran-Gehring, et al201624\n830• First attempt success USGPIVA• Overall PIV success• Number of blind punctures prior to USGPIVA97.5% Overall Success86.8% First Attempt SuccessMeanSOC: 2.1 per subjectUSGPIC: N/AVeins were examined in both transverse/long-axis planes to determine depth and widthSingle operator, transverse, out-of-plane approach for cannulationRotate to long-axis to confirm position of catheter within lumen of the vesselMcCarthy, et al201625\n1,617• Success/failure on initial/second attempt• Occurrence of a complication• Patient reported pain associated with the procedure (0-10)• Duration of first attempt82%-86% Regardless of Difficulty80.9% Overall SuccessN/ADynamic, single operator techniqueUS utilized to visualize and guide the needle into the lumenOliveira, et al201626\n65• Success of physicians, nurses, and corpsmen utilizing USGPIVA• Number of attemptsNurses: 63.2%Corpsmen: 50%Participants all novice with <5 USGPIVA procedures performed before study commencementN/AAverage 2.8 per patientSingle operator, dynamic techniqueParticipants encouraged to utilize transverse/longitudinal techniquesA novel combination approach taught, involved participants inserting needle in transverse position then rotating probe longitudinally visualize the catheter in the vesselPrice, et al 201922\n100• First attempt success rate between double tourniquet and single tourniquet groups (USGPIVA)Single Tourniquet –79.2%Double Tourniquet – 76.5%Single Tourniquet – 97.9%Double Tourniquet – 98%Average 1 per patient (USGPIVA)Participants measured vessels in short-axis orientationApproach to achieve cannulation was not reportedResnick, et al200827\n101• Success of skin marking procedure (USGPIVA)• Procedural time• Perceived reason for blind failure• Target vein selection• Depth of target vein• Number of skin punctures• Length of catheter in the vein• Associated complications59.6% First Attempt Success (Varying Experience)73% Second AttemptN/ATarget vessel identified; depth measured in short-axisCatheters were inserted using a dynamic, single operator techniqueAll operators began the procedure in short-axis view and allowed to change to long-axis view if struggling to gain accessSalleras-Duran, et al 20164\n103• Nurse perception of difficulty• Success rate USGPIVA overall/first attempt• Catheter longevity• Patient satisfaction84.2% First Attempt Success95.1% Overall SuccessN/AN/ASchoenfeld, et al201128\n219• Success rate of USGPIVA• Complication rate• Rate of success based on previous ED technician experience with both standard approach and USGPIVA78.5% First Attempt SuccessNot ReportedMean 1.35 (SD = 0.56)Dynamic, single operator techniqueBoth transverse/longitudinal methods were taughtParticipants encouraged to begin with transverse methodShokoohi, et al20139\n401,532• Central venous catheter placement rateN/AN/AN/AN/ASkulec, et al 20205\n300• Compare first attempt success between three groups of varying approach• Compare overall success of cannulation• Number of attempts for successful cannulation• Time required to achieve cannulation• Prehospital complicationsFully USG technique where needle visualized to penetrate lumen (Group A) – 88%Partial USG technique visualizing target vessel only (Group B) – 94%Landmark approach (Group C) – 76%Group A – 99%Group B – 99%Group C – 90%Group A: 1.20 (SD = 0.57)Group B: 1.07 (SD = 0.29)Group C: 1.45 (SD = 0.90)P <.001Scanning with transverse probe orientation to identify target veinCompression test to differentiate between vein and arteryColor doppler was used optionally by the operatorParticipants instructed to preferentially use transverse approachStolz, et al 201618\n796• Number of attempts required to achieve proficiency and consistency• Overall success rate• Determinants of difficultyN/A88.24% Overall SuccessN/AIn-plane, longitudinal approach where needle was guided into the vessel was emphasized for PIV accessParticipants familiarized with color doppler, compression technique, and transverse methodVinograd, et al201829\n58 (300 USGPIVA Attempts)• First attempt success• Complication rates• USPGIV longevity68% First Attempt Success91% Overall SuccessN/AAll PIVs were placed using the dynamic method in the short-axisWeiner, et al201310\n50• Rate of physician intervention• Mean time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of pain on 10-point scaleN/AN/AMean: 2Dynamic, single operator techniqueNurses were instructed to use the transverse approach at 45° oblique angle to the vesselMiles. et al 201221\n9 Initial Participants• Rate of physician intervention• Time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of painN/AN/AN/ANurses were taught both transverse/longitudinal approachesParticipants typically preferred transverse method until more experiencedAbbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care.\n\nOutcome Measures and Ultrasonographic Approach\nAbbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care.", "The participant population varied between nurses, paramedics, and emergency technicians. Experience was also varied with some operators proficient with USGPIVA placement and others naïve to POCUS. Most studies included a combined cohort of clinicians with a broad range of clinical experience. Only one study described a paramedic-only cohort and was solely based in the out-of-hospital setting.", "Three out of the 16 studies examined paramedic application of USGPIVA, two within the ED and one out-of-hospital.\n5,18,19\n Each study measured different outcomes making it difficult to compare and evaluate performance. Acuña, et al aimed to evaluate the performance of a handheld POCUS device as used by paramedics and nurses to perform USGPIVA in the ED. The study enrolled a cohort of 483 participants and reported first attempt success of 84% using a discretionary approach to determine difficulty.\n19\n The only out-of-hospital study was a randomized, control trial performed by Skulec, et al and evaluated paramedics’ success performing USGPIVA with a handheld POCUS device.\n5\n Only five paramedics participated in the study, however, 300 patients were enrolled and randomized equally into three groups. Group A received USGPIVA access under complete ultrasound guidance where the catheter was visualized to enter the lumen of the vessel. Group B was partially guided where ultrasound was used to identify the target vessel only. Finally, Group C received standard of care via the landmark approach.\n5\n The third study by Stolz, et al was set in an ED and aimed to determine the number of attempts required to achieve proficiency with USGPIVA. The participants enrolled 796 patients and achieved an overall success of 88.24%.\n18\n All of the participants were previously naïve to POCUS and the determinants of difficulty used in the study were not included in the report.\nAssessment of difficulty of IV access varied considerably between the studies and was largely arbitrary. Most studies had an inclusion criterion of two failed blind attempts. Characteristics of difficulty included the patient reporting history of difficulty, inability to palpate a vessel, and significant comorbidities. Bahl, et al developed the most robust inclusion criteria, including: (1) the patient reports a history of “difficult stick;” (2) experienced at least one previous episode where two or more attempts were required to obtain a peripheral IV; and (3) at least one of the following: (a) prior history of a rescue catheter as a result of an inability to obtain a peripheral IV, (b) history of end-stage renal disease, (c) history of IV drug abuse, or (d) history of sickle cell disease.\n20\n\n\nThe approach to ultrasound technique was consistent throughout many of the studies. Eleven of the 16 reviewed studies taught a single operator, dynamic technique and encouraged participants to begin their attempt on the transverse short axis. Miles, et al observed nurse participants typically preferred the transverse approach initially, incorporating the longitudinal approach with more experience.\n21\n Four of the studies didn’t describe the ultrasound approach they taught or used in the study. Price, et al utilized the transverse approach to measure vessels but didn’t describe the approach to catheterization.\n22\n\n", "The approach to training in the reviewed studies was significantly varied and ranged from 90 minutes to 20 hours. All of the training packages included a blend of didactic and hands-on learning, while only some required supervised attempts to assess proficiency. The educational approach of each study is summarized in Table 3.\n\nTable 3.Outcome Measures and Ultrasonographic ApproachStudy# Patients/ParticipantsOutcome MeasureFirst Stick Success (%) (USG)Overall Success (%)# PuncturesUS ApproachAcuña, et al 202019\n483• Success rate of USGPIVA placement• Complications associated with USGPIVA• Adequacy of handheld device for USGPIVA placement• Confidence level in performing USGPIVA with handheld device84% First Attempt Success92% Overall SuccessN/AIn-plane 70%Out-of-plane 10%Not documented 20%Ault, et al 201523\n8 Nurses (Patients Not Recorded)• Number of USGPIVA placements that needed to be performed under supervision to achieve proficiency and consistency• Number of minutes required for successful vessel cannulation• Associated complicationsN/AN/AN/AN/ABahl, et al 201620\n124• USGPIVA success rate• Time to USGPIVA placementN/A76% Overall SuccessMeanUSGPIVA: 1.52 per subjectSOC: 1.71 per subjectN/ADuran-Gehring, et al201624\n830• First attempt success USGPIVA• Overall PIV success• Number of blind punctures prior to USGPIVA97.5% Overall Success86.8% First Attempt SuccessMeanSOC: 2.1 per subjectUSGPIC: N/AVeins were examined in both transverse/long-axis planes to determine depth and widthSingle operator, transverse, out-of-plane approach for cannulationRotate to long-axis to confirm position of catheter within lumen of the vesselMcCarthy, et al201625\n1,617• Success/failure on initial/second attempt• Occurrence of a complication• Patient reported pain associated with the procedure (0-10)• Duration of first attempt82%-86% Regardless of Difficulty80.9% Overall SuccessN/ADynamic, single operator techniqueUS utilized to visualize and guide the needle into the lumenOliveira, et al201626\n65• Success of physicians, nurses, and corpsmen utilizing USGPIVA• Number of attemptsNurses: 63.2%Corpsmen: 50%Participants all novice with <5 USGPIVA procedures performed before study commencementN/AAverage 2.8 per patientSingle operator, dynamic techniqueParticipants encouraged to utilize transverse/longitudinal techniquesA novel combination approach taught, involved participants inserting needle in transverse position then rotating probe longitudinally visualize the catheter in the vesselPrice, et al 201922\n100• First attempt success rate between double tourniquet and single tourniquet groups (USGPIVA)Single Tourniquet –79.2%Double Tourniquet – 76.5%Single Tourniquet – 97.9%Double Tourniquet – 98%Average 1 per patient (USGPIVA)Participants measured vessels in short-axis orientationApproach to achieve cannulation was not reportedResnick, et al200827\n101• Success of skin marking procedure (USGPIVA)• Procedural time• Perceived reason for blind failure• Target vein selection• Depth of target vein• Number of skin punctures• Length of catheter in the vein• Associated complications59.6% First Attempt Success (Varying Experience)73% Second AttemptN/ATarget vessel identified; depth measured in short-axisCatheters were inserted using a dynamic, single operator techniqueAll operators began the procedure in short-axis view and allowed to change to long-axis view if struggling to gain accessSalleras-Duran, et al 20164\n103• Nurse perception of difficulty• Success rate USGPIVA overall/first attempt• Catheter longevity• Patient satisfaction84.2% First Attempt Success95.1% Overall SuccessN/AN/ASchoenfeld, et al201128\n219• Success rate of USGPIVA• Complication rate• Rate of success based on previous ED technician experience with both standard approach and USGPIVA78.5% First Attempt SuccessNot ReportedMean 1.35 (SD = 0.56)Dynamic, single operator techniqueBoth transverse/longitudinal methods were taughtParticipants encouraged to begin with transverse methodShokoohi, et al20139\n401,532• Central venous catheter placement rateN/AN/AN/AN/ASkulec, et al 20205\n300• Compare first attempt success between three groups of varying approach• Compare overall success of cannulation• Number of attempts for successful cannulation• Time required to achieve cannulation• Prehospital complicationsFully USG technique where needle visualized to penetrate lumen (Group A) – 88%Partial USG technique visualizing target vessel only (Group B) – 94%Landmark approach (Group C) – 76%Group A – 99%Group B – 99%Group C – 90%Group A: 1.20 (SD = 0.57)Group B: 1.07 (SD = 0.29)Group C: 1.45 (SD = 0.90)P <.001Scanning with transverse probe orientation to identify target veinCompression test to differentiate between vein and arteryColor doppler was used optionally by the operatorParticipants instructed to preferentially use transverse approachStolz, et al 201618\n796• Number of attempts required to achieve proficiency and consistency• Overall success rate• Determinants of difficultyN/A88.24% Overall SuccessN/AIn-plane, longitudinal approach where needle was guided into the vessel was emphasized for PIV accessParticipants familiarized with color doppler, compression technique, and transverse methodVinograd, et al201829\n58 (300 USGPIVA Attempts)• First attempt success• Complication rates• USPGIV longevity68% First Attempt Success91% Overall SuccessN/AAll PIVs were placed using the dynamic method in the short-axisWeiner, et al201310\n50• Rate of physician intervention• Mean time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of pain on 10-point scaleN/AN/AMean: 2Dynamic, single operator techniqueNurses were instructed to use the transverse approach at 45° oblique angle to the vesselMiles. et al 201221\n9 Initial Participants• Rate of physician intervention• Time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of painN/AN/AN/ANurses were taught both transverse/longitudinal approachesParticipants typically preferred transverse method until more experiencedAbbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care.\n\nOutcome Measures and Ultrasonographic Approach\nAbbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care.", "This scoping review examined 16 articles to identify the utility of non-physician USGPIVA in all settings. Currently, POCUS is an emerging diagnostic adjunct in non-physician clinical care, especially for out-of-hospital providers.\n16\n Ultrasound technology has advanced to facilitate smaller, more portable, and cost-effective devices that can be translated to non-physician practice and can potentially provide both diagnostic and therapeutic advantages.\n4,19\n\n\nPeripheral IV access is one of the most commonly performed skills by paramedics and nurses in both the out-of-hospital and in-hospital environments.\n1–3\n Difficulty achieving PIVA is frequently encountered and alternative methods must be sought to establish venous access.\n13,25\n This often requires the input of a more senior clinician or physician.\n9,10,24\n Existing physician-based literature on this topic, not included in this review, expounds the advantages of ultrasound-guided technique in improving success, reducing number of punctures, reducing time of procedure, and improving patient satisfaction.\n14\n Ultrasound-guided PIVA is routinely performed by physicians in the ED; however, emerging literature suggests nurses, paramedics, and ED technicians can competently perform this skill with relatively little additional training.\n18,23\n\n\nThe participants included in the studies were of mixed background and experience. Cohorts included nurses, paramedics, emergency technicians, and military corpsmen with experience ranging one year to thirty-five years. Previous exposure to ultrasound was varied and many of the participants were ultrasound naïve and were provided with training as part of the study. Ultrasound-guided PIVA is a well-established practice in EDs globally and is typically carried out by emergency physicians to gain peripheral or central vascular access in patients that have been failed by the traditional method.\n9,14\n Increasingly, this practice has been studied for adaptation to the scope of other health care providers in the emergency setting.\n5,6,16,20\n All providers in the studies were already proficient in the traditional method of PIVA; therefore, the ultrasound-guided technique represented an extension of an existing skill. The literature suggests that non-physician health care providers can capably perform USGPIVA with minimal training and supervision.\nThe approach to training participants was non-standardized and ranged from 90 minutes to 20 hours. Three of the studies aimed to evaluate the learning curve associated with training nurses, paramedics, and ED technicians in USGPIVA.\n18,23,24\n The majority of studies had a training duration of two hours, with some outliers, and this appears to be sufficient to engender proficiency. Duran-Gehring, et al reported that a cohort of 830 ED technicians achieved an USGPIVA rate of 97.5% after completing a brief but comprehensive training program.\n24\n Training programs typically included a blend of didactic teaching, hands-on simulation, and supervised practice on live patients. Stolz, et al sought to define the learning curve and determined a positive correlation between number of attempts and participant proficiency. Nurses and paramedics achieved a success rate of 88% after 15-26 attempts.\n18\n A confounding variable identified in many of the studies was significant inconsistencies amongst participant experience where some participants were highly experienced veterans while others only had one year of experience.\n26,28\n A review appraising educational standards for paramedic POCUS suggests “paramedics may be able to gain proficiency in POCUS reasonably promptly, regardless of base qualification, experience, duration, or perceived quality of training.”\n16\n These studies conclude that with relatively minimal, but comprehensive training, non-physicians can become proficient and improve success in USGPIVA with experience.\nDetermining DIVA appeared arbitrary in many of the studies with one study relying on a discretionary approach based on perceived difficulty and failed blind attempts.\n19\n Some studies developed a criterion for inclusion made up of characteristics known to increase difficulty (ie, obesity, IV drug abuse, and multiple comorbidities) while others didn’t document the method they used to determine difficulty.\n20\n Ultimately, there is a lack of consensus as to what defines “difficult” PIVA, making comparison between studies and patient populations difficult.\n19,25\n This study revealed an externally validated scale predictive of difficult PIVA in adults (A-DIVA) that may help standardize the approach in determining difficult PIVA.\n13\n The modified A-DIVA tool developed by van Loon, et al resulted from a large, multi-center, prospective study that enrolled 3,587 patients who failed first attempt peripheral venous access. The resultant data were analyzed and a five-variable additive A-DIVA scale was created based on patient characteristics that affect the outcome of peripheral IV cannulation on first attempt.\n13\n This externally validated assessment tool appears reliable, generalizable, and predictive of adults at risk of DIVA.\n13\n Utilization of the A-DIVA scale as a meaningful, quantitative metric can potentially standardize the approach to difficult PIVA as opposed to relying on experience or operator gestalt.\n13\n\n\nThis scoping review suggests there are clinical implications to the introduction of non-physician USGPIVA. Typical practice in both ED and out-of-hospital is for non-physician providers to establish PIVA through the landmark approach.\n20\n If difficulty is encountered or anticipated, the provider may make a blind attempt or escalate to a more senior clinician or physician.\n9,10\n Ultimately, if peripheral venous access is unable to be achieved, the patient may require CVC placement in the ED or IO access out-of-hospital as an alternative. Placement of a CVC is associated with a greater risk profile of blood stream infection, pneumothorax, and large artery cannulation, which therefore is undesirable for patients who don’t specifically require central venous access.\n10,30\n Shokoohi, et al assessed the rate of CVC placement in ED patients over a six-year study period after the implementation of an USGPIVA program.\n9\n This study saw a reduction in CVC placement by up to 80%, especially in the non-critically ill population.\n9\n In addition to potentially increased risk, the process of having to escalate to a more senior clinician to facilitate vascular access both delays intervention and is a resource burden.\n10\n Weiner, et al postulated that appropriately trained emergency nurses could reduce the need for physician intervention in patients with difficult vascular access. Their study discovered that in patients assigned to standard of care (landmark approach), physicians were required to intervene in 52.4% of cases, whereas they were only in 24.1% of cases assigned to an ultrasound-guided technique.\n10\n These studies were the only two that specifically investigated the implications associated with introduction of a non-physician-led, ultrasound-guided IV access program and both reported favorable outcomes.\nWhile some of the study cohorts included paramedics, only one was exclusive to the out-of-hospital environment.\n5\n There is an apparent dearth of literature evaluating USGPIVA placement in the out-of-hospital environment. The existing body of literature is largely supportive of non-physician USGPIVA in-hospital, and given the broad similarities between the professions, should be translatable to the out-of-hospital environment.", "The clinical definition of “difficult” IV access remains arbitrary and non-standardized. Literature exploring the characteristics associated with DIVA exists, and there has been movement toward the creation of a validated assessment scale that could be utilized to predict DIVA in adult patients. Further investigation into the value of USGPIVA for non-physician providers would benefit from a standardized definition of DIVA.\nThe clinical application of USGPIVA in the in-hospital setting is reasonably well-demonstrated with a growing body of evidence supporting implementation of non-physician-based USGPIVA. Literature examining the application of this practice with both a handheld POCUS device and paramedics in the out-of-hospital environment is scarce. This review identified only one study of such a design.\nA large, randomized, controlled trial incorporating a standardized DIVA tool with non-physician providers in the out-of-hospital environment would be valuable to broaden the scope of USGPIVA and measure paramedic proficiency. The study would ideally consider first attempt success, overall success, USGPIVA versus landmark method, time to achieve PIVA, number of skin punctures, operator experience, and any associated complications.", "The authors acknowledge the limitations of the scoping review methodology. The articles recovered were generally heterogenous in study design and of low to medium quality. Authors SB, JD, BM, and SJ are all operational paramedics and BM performs USGPIVA in clinical practice. Therefore, there is an acknowledged risk of bias in article selection and interpretation.", "Ultrasound-guided PIVA for non-physician health care providers appears to be a feasible and effective extension to already established practice. Nurses, paramedics, and ED technicians appear to be able to achieve proficiency, consistency, and a high degree of success when learning and performing USGPIVA. Variations in success were accounted for by variations in experience, which was demonstrated to improve with on-going acquired experience. The lack of a standardized DIVA assessment tool makes it difficult to reliably compare studies. Very little literature exists exploring the feasibility and success of paramedics performing USGPIVA in the out-of-hospital environment. Further studies incorporating a standardized DIVA assessment tool and set in the out-of-hospital environment would aid in validating the clinical utility for POCUS and USGPIVA." ]
[ "intro", "methods", "results", "other", "other", "other", "discussion", "other", "other", "conclusions" ]
[ "IV access", "non-physician", "peripheral venous access", "POCUS", "ultrasound" ]
Introduction: Peripheral intravenous (IV) catheterization is one of the most commonly performed procedures by non-physicians in both the emergency department (ED) and out-of-hospital environment. 1–3 Presently, most providers employ the conventional peripheral intravenous access (PIVA) method, with difficulty often encountered in both anatomically challenging and critically unwell patients. 1,2 The overall failure of PIVA is reportedly from 10% through 40% in EDs, intensive care units, and in the out-of-hospital setting. 4 Failure of the first attempt has been reported to occur in up to 67% of patients requiring subsequent or multiple punctures. 5 Ultrasound-guided PIVA (USGPIVA) occurs routinely in the hospital setting when difficulty is either predicted or encountered. In-hospital clinical studies indicate that ultrasound guidance significantly improves the overall success rate of PIVA and reduces the number of punctures required, time to successful PIVA, physician intervention, and rate of central venous catheter (CVC) insertion. 4,6–10 The implications of failed or inadequate PIVA are varied, often resulting in escalation to a more senior clinician and potentially an alternative vascular access strategy. 9,10 Alternative vascular access is often achieved through the insertion of a CVC in-hospital and intraosseous (IO) access in the out-of-hospital environment. 9,11 Both CVC and IO insertion expose the patient to a range of additional risks that could be avoided with successful PIVA, including bloodstream infection fat emboli, pneumothorax, large artery puncture, impaired flow rates, and osteomyelitis. 9,12 These are undesirable risks for patients where PIVA is less-invasive and sufficiently meets care requirements. Determining patients at risk for difficult intravenous access (DIVA) has historically relied on the clinicians’ experience and clinical gestalt. Patient characteristics associated with difficult PIVA have been identified and developed into externally validated assessment tools that are predictive of adult patients at risk of DIVA, including the Adult – Difficult Intravenous Access (A-DIVA) scale. 13 Increased availability and portability of handheld ultrasound devices has made this practice a realistic consideration for the out-of-hospital setting. Paired with a predictive A-DIVA scale, the adoption of point-of-care ultrasound (POCUS) can significantly improve first attempt success, reduce the occurrence of multiple punctures, and reduce overall time to successful PIVA. 5,13 The efficacy of USGPIVA in-hospital is firmly established when performed by physicians, 14 but such data are not available for non-physicians, particularly in the out-of-hospital environment. This paper aimed to identify the available evidence for the utility of POCUS in anticipated difficult PIVA by non-physicians. Methods: The authors searched, compiled, and reviewed the available literature relating to paramedic use of POCUS to establish IV access in the out-of-hospital environment. Preliminary searches of EMBASE (Elsevier; Amsterdam, Netherlands) and Ovid (Ovid Technologies; New York, New York USA) databases revealed limited literature on the subject. The study used a scoping review methodology in order to develop a specific research question. In alignment with established scoping review procedure, the study included peer and non-peer-reviewed articles in addition to grey literature. This study employed the six-stage methodology as described by Levac, et al. 15 The research question was identified as: “Can non-physicians use ultrasound to aid in establishing IV access in patients who are difficult to cannulate?” After initial review of the literature, the authors decided upon this question as it was felt to both capture a range of articles while remaining focused enough to facilitate a search strategy. A preliminary search of online databases EMBASE and Ovid was conducted to identify literature relevant to the topic. Keywords and index terms from the retrieved articles were analyzed and then included in the second search. The online databases Ovid MEDLINE (US National Library of Medicine, National Institutes of Health; Bethesda, Maryland USA); EMBASE; PubMed (National Center for Biotechnology Information, National Institutes of Health; Bethesda, Maryland USA); and CINAHL Plus (EBSCO Information Services; Ipswich, Massachusetts USA) were then searched from January 1, 1990 through April 15, 2021 including the identified terms, Medical Subject Headings (MeSH terms), and keywords relevant to out-of-hospital care, paramedics, and ultrasound-guided peripheral IV cannulation. A thorough search of the grey literature and reference lists of relevant papers was also appraised to identify additional articles. The search strategy consisted of Boolean terms and operators within the population/concept/context (PCC) format (Table 1). Table 1.Summary of Population/Concept/Context (PCC) Search TermsPCC ElementDefinitionSearch TermPopulationParticipant features▪ Adults >18 years▪ Anticipated difficult IV accessConceptInterventions/outcomes▪ Utilization of US device to achieve peripheral IV access▪ IV access.mp▪ Intravenous access.mp▪ Peripheral venous access.mp▪ Vascular access.mp▪ Catheterization, peripheral/▪ Ultrasound-guided.mp▪ Ultrasound-guided procedure.mp▪ Venous ultrasound.mp▪ Ultraso*.mp▪ Vascular ultraso*.mp▪ POCUS.mpContextDetails of setting▪ Any setting▪ Non-physician providers▪ Out of hospital.tw▪ Emergency department.tw▪ Emergency medical services.sh▪ Emergency medical technicians.sh▪ HEMS.tw▪ Ambulance.tw▪ Ambulances.sh▪ EMS.tw▪ EMT.tw▪ Emergency services.tw▪ First responder*.tw▪ Pre hospital.tw▪ Pre-hospital.tw▪ Paramedic.tw▪ Non-physician.twAbbreviations: IV, intravenous; POCUS, point-of-care ultrasound; HEMS, helicopter Emergency Medical Services; EMS, Emergency Medical Services; EMT, emergency medical technician. Summary of Population/Concept/Context (PCC) Search Terms Abbreviations: IV, intravenous; POCUS, point-of-care ultrasound; HEMS, helicopter Emergency Medical Services; EMS, Emergency Medical Services; EMT, emergency medical technician. Eligibility was defined by: (1) non-physicians in any setting utilizing POCUS to guide peripheral venous cannulation, and (2) published from January 1, 1990 through April 15, 2021. The time period was determined after preliminary search produced no studies of relevance prior to 1990. In addition, small and portable POCUS devices are technologically modern and have only been adopted into medical practice in more recent times. 16 Studies were excluded if they were performed by physicians, literature reviews, not published in English, based on opinion or commentary, and if they were based on training or simulation. The databases were searched by one author (SB). Duplicates were then removed, followed by eligibility screening of titles and abstracts by three authors (SB, BM, and JD). The full texts of the remaining articles were then sourced and reviewed (Figure 1). A “descriptive analytical” approach was used to extract relevant data from each of the studies. This has then been collated into table form to provide an overview of the 17 articles selected for inclusion. Key information was identified and charted as per common analytical framework. 17 Figure 1.Flow Diagram Showing Identification of Studies Evaluating Non-Physician USGPIVA for Patients Anticipated to be Difficult.Abbreviation: USGPIVA, ultrasound-guided peripheral intravenous access. Flow Diagram Showing Identification of Studies Evaluating Non-Physician USGPIVA for Patients Anticipated to be Difficult. Abbreviation: USGPIVA, ultrasound-guided peripheral intravenous access. A total of 16 studies were included in the review, comprising eight prospective observational studies, three retrospective observational studies, two randomized control trials, one prospective non-blinded randomized control trial, one retrospective cohort study, and one prospective, randomized, comparative evaluation. The summary results are depicted below in addition to a summary in Table 2. 4,5,9,10,18–29 Table 2.Study Characteristics and Educational ApproachStudyParticipantsStudy DesignAimSettingProtocol DetailsEducationAcuña, et al202019 NursesParamedicsProspective Observational StudyEvaluate performance of a handheld US device for difficult PIVA as performed by nurses/paramedics in the EDED – United StatesDiscretionary assessment of difficulty by operator based on failed attempts or perceived difficulty.Patients deemed difficult were enrolled and assigned either USGPIVA or SOC.Success defined as catheter visualized within the vessel and able to be flushed easily.Device – Philips Lumify.8-hour educational session (lecture and didactic education).Familiarization with POCUS device and how to optimize image quality.Ault, et al 201523 NursesProspective Observational StudyTo determine the number of US-guided IV placements required for a nurse to develop proficiency and consistencyMedical Procedure Center – United StatesDifficulty assessed by operators if there was a lack of a palpable or visible vessel or if the patient had a history of requiring US-guided IV access or central venous access.Proficiency determined by 10 successful supervised attempts and proficiency score of 4 or 5 for 3 consecutive attempts.Device – Sonosite M-Turbo.3-phase educational program including 1:1 didactic session, demonstration of proficiency on phantom model, and supervised attempts on live patients.Bahl, et al 201620 NursesProspective, Non-Blinded, Randomized Control TrialInvestigated the outcomes associated with nurse performed US- guided IV access when compared to landmark approach on difficult vascular access patientsED – United StatesPatients presenting to ED were randomized to 1 of 2 cannulation techniques. Either USGPIVA or SOC (landmark method).Success was determined by the extraction of 5ml of non-pulsatile blood or flush of 5ml normal saline.Developed robust inclusion criteria to select DIVA patients.Device – Sonosite M-Turbo.Participants attended a 1.5-hour didactic educational session, followed by hands on familiarization.Certification was provided upon 10 successful IV placements.Duran-Gehring, et al201624 ED TechniciansRetrospective Review of Prospectively Collected DataTo determine the success and complication rates of ED technicians performing US-guided peripheral IV placementED – United StatesNone of the participants had prior US experience.An algorithm was developed to predict difficult IV with physician input.Patients were then potentially enrolled to receive up to 3 US-guided IV attempts by the participants with success, failure, and complication rates recorded.Device – Sonosite M-Turbo.18 emergency technicians (paramedics) enlisted to participate.3-phase educational program beginning with training, demonstration of competence, and then clinical application.McCarthy, et al201625 ED TechniciansRandomized Control Trial with a 2-Group Parallel DesignTo determine the superior method of IV placement in patients with varying levels of difficultyED – United StatesPatients enrolled were sorted into easy access, moderately difficult, and difficult access groups.Enrolled patients were then randomized and assigned to either USGPIVA or SOC.If first attempt failed, the patient was then randomized a second time to a procedure.Device – Sonosite M-Turbo or Zonare Ultra.All of the participants were familiar and proficient with the procedure as part of their existing practice.Oliveira, et al201626 NursesMilitary CorpsmenProspective Observational StudyTo develop a program to train nurses, corpsmen, and physicians in US-guided IV placement and assess the degree of success in outcomesMilitary Hospital – United StatesTwo of the nurse participants had prior US experience.The program developed was not defined in this study.Device – Sonosite M-Turbo.8 nurses and 8 corpsmen participated in the study.Nurses and corpsmen were required to attend one training session, comprised of a 30-minute didactic session, and complete 3 supervised US-guided IV placements.Price, et al 201922 NursesED TechniciansProspective, Randomized, Comparative Evaluation StudyTo determine if US-guided IV placement first attempt success is improved with double tourniquet techniqueTertiary Care Hospital ED – United StatesPatients had to have had one failed blind attempt at IV placement, >18 years old, and predicted to be difficult to be enrolled in the study.Patients enrolled were then randomized to either single or double tourniquet technique followed by USGPIVA.Device – Sonosite X-Porte.All participants had minimum 1 year experience with the procedure and no education was offered prior to commencement of the study.Resnick, et al200827 NursesProspective, Randomized, Comparison StudyTo compare the practice of no skin marking versus no skin marking when performing US-guided PIVAED – United StatesParticipants were categorized by the number of USGPIVA attempts and experience they previously had.Patients were enrolled and randomized to either no skin marking or skin marking approach.UGPIVA was then attempted either with or without skin marking.Device – Sonosite Titan L38.Nurses were given a 2-hour educational session including simulated practice on phantom models.Salleras-Duran, et al20164 NursesDescriptive, Observational StudyTo examine the success of US-guided IV placement in patients predicted to be difficultED – SpainAll patients requiring peripheral IV, >18 years old, and met requirements for US-guided IV placement were included.Patients indicated for US-guided IV placement were those determined difficult by the nurse operator using a 10-point Likert scale.Nurses recorded variables after each procedure for evaluation.Device – N/A.Participants completed a 20-huor training course covering US basic concepts and simulated practice.Schoenfeld, et al201128 ED TechniciansProspective Observational StudyTo assess the success of ED technicians when placing US-guided peripheral IV cathetersED – United StatesAt least two attempts at traditional IV placement had to have occurred, and/or patients with established history of difficult access requiring alternative intervention to be included in the study.Technicians completed a survey at the completion of each survey, documenting a range of variables.Device – Sonosite M-Turbo.19 ED technicians participated in the study.Participants completed a 2-hour training session that was didactic and hands-on.Shokohi, et al20139 ED TechniciansRetrospective Cohort StudyTo assess whether the introduction of US-guided IV access program in the ED resulted in less CVC useED – United StatesStudy period was 6 years.Investigators observed the rate of CVC placement after the implementation of an US-guided IV placement program.Device – N/A.Technicians were provided with 2-hour educational session comprised of both didactic and hands-on learning.Skulec, et al 20205 ParamedicsControlled, Prospective, Randomized, Non-Blinded Clinical StudyTo compare two different approaches of US-guided IV placement and the landmark method of IV placement by paramedicsOut-of-Hospital – Czech Republic5 paramedics participated in the study.Patients were included if they were conscious and indicated for prehospital IV placement.Enrolled patients were then randomized in a predefined 1:1:1 ratio to IV insertion fully controlled by US guidance, IV insertion partially controlled by US guidance (target vein identification only), or landmark method.Device – GE Vscan Dual Probe.Paramedics were naïve to US prior to commencement of the study.Paramedics attended a 1-day emergency POCUS course for beginners that comprised of both hands-on and didactic education sessions.Stolz, et al 201618 NursesParamedicsProspective Observational StudyTo determine how many attempts were required to achieve proficiency with US-guided IV placement in nurses and paramedicsED – United StatesAll participants were previously naïve to the USGPIVA placement procedure but proficient in traditional PIVA.Interested nurses or paramedic could electively enroll in the training to participate in the program.Participants were required to complete a survey after each procedure, documenting variables for collection.Device – Mindray M7 and Ultrasonix SonixTouch.33 participants were included in the study.Each were provided with 2-hours of training including didactic and hands components.Vinograd, et al201829 NursesProspective Observational StudyTo examine the success, complications, and longevity of US-guided IVs placed in a pediatric EDED – United StatesPatients were included after multiple failed blind attempts, a history of difficulty, educational purposes, and patient or family request.Participants completed a survey after each procedure and documented key information.Device – N/A.24 nurses participated in this study.Nurse participants were provided with 4-hour training session including didactic and hands-on components.Weiner, et al201310 NursesTwo-Site, Prospective, Non-Blinded, Pilot StudyTo determine if trained emergency nurses can place US-guided IVs and subsequently require less physician interventionED – United StatesPatients were enrolled in a convenience sample and assigned to either SOC or US-guided IV arm.Patients were included if they were adults, indicated for IV access, and were predicted to be difficult.Device – Sonosite M-Turbo and Zonarae z.one Ultra Convertible Ultrasound System.Each participant was provided with 2-hour training session including didactic and hands-on components.Miles, et al 201221 NursesProspective, Multicenter, Pilot StudyTo evaluate the success of program implemented to facilitate nurse led US-guided PIVA in the EDED – United StatesPatients were eligible for inclusion if they either had two failed blind attempts or reported a history of DIVA.Consenting patients were assigned to have either US-guided IV access or SOC.Device – Sonosite MicroMaxx Portable.Participants received 8-hour tutorial from experienced emergency physician including didactic and hands-on elements.Abbreviations: ED, emergency department; US, ultrasound; PIVA, peripheral intravenous access; IV, intravenous; CVC, central venous catheter; USGPIVA, ultrasound-guided PIVA; SOC, standard of care; DIVA, difficult intravenous access; POCUS, point-of-care ultrasound. Study Characteristics and Educational Approach Abbreviations: ED, emergency department; US, ultrasound; PIVA, peripheral intravenous access; IV, intravenous; CVC, central venous catheter; USGPIVA, ultrasound-guided PIVA; SOC, standard of care; DIVA, difficult intravenous access; POCUS, point-of-care ultrasound. Results: The initial search generated 151 articles after six duplicates were removed. The titles and abstracts of the relevant articles were then screened for inclusion and 120 were excluded as per the study protocol (Figure 1). One additional study was identified through a grey literature search of Google Scholar (Google Inc.; Mountain View, California USA) and added to the review. The final review included a total of 16 studies, the characteristics of which are presented in Table 2. Participants The participant population varied between nurses, paramedics, and emergency technicians. Experience was also varied with some operators proficient with USGPIVA placement and others naïve to POCUS. Most studies included a combined cohort of clinicians with a broad range of clinical experience. Only one study described a paramedic-only cohort and was solely based in the out-of-hospital setting. The participant population varied between nurses, paramedics, and emergency technicians. Experience was also varied with some operators proficient with USGPIVA placement and others naïve to POCUS. Most studies included a combined cohort of clinicians with a broad range of clinical experience. Only one study described a paramedic-only cohort and was solely based in the out-of-hospital setting. Scan Protocol Three out of the 16 studies examined paramedic application of USGPIVA, two within the ED and one out-of-hospital. 5,18,19 Each study measured different outcomes making it difficult to compare and evaluate performance. Acuña, et al aimed to evaluate the performance of a handheld POCUS device as used by paramedics and nurses to perform USGPIVA in the ED. The study enrolled a cohort of 483 participants and reported first attempt success of 84% using a discretionary approach to determine difficulty. 19 The only out-of-hospital study was a randomized, control trial performed by Skulec, et al and evaluated paramedics’ success performing USGPIVA with a handheld POCUS device. 5 Only five paramedics participated in the study, however, 300 patients were enrolled and randomized equally into three groups. Group A received USGPIVA access under complete ultrasound guidance where the catheter was visualized to enter the lumen of the vessel. Group B was partially guided where ultrasound was used to identify the target vessel only. Finally, Group C received standard of care via the landmark approach. 5 The third study by Stolz, et al was set in an ED and aimed to determine the number of attempts required to achieve proficiency with USGPIVA. The participants enrolled 796 patients and achieved an overall success of 88.24%. 18 All of the participants were previously naïve to POCUS and the determinants of difficulty used in the study were not included in the report. Assessment of difficulty of IV access varied considerably between the studies and was largely arbitrary. Most studies had an inclusion criterion of two failed blind attempts. Characteristics of difficulty included the patient reporting history of difficulty, inability to palpate a vessel, and significant comorbidities. Bahl, et al developed the most robust inclusion criteria, including: (1) the patient reports a history of “difficult stick;” (2) experienced at least one previous episode where two or more attempts were required to obtain a peripheral IV; and (3) at least one of the following: (a) prior history of a rescue catheter as a result of an inability to obtain a peripheral IV, (b) history of end-stage renal disease, (c) history of IV drug abuse, or (d) history of sickle cell disease. 20 The approach to ultrasound technique was consistent throughout many of the studies. Eleven of the 16 reviewed studies taught a single operator, dynamic technique and encouraged participants to begin their attempt on the transverse short axis. Miles, et al observed nurse participants typically preferred the transverse approach initially, incorporating the longitudinal approach with more experience. 21 Four of the studies didn’t describe the ultrasound approach they taught or used in the study. Price, et al utilized the transverse approach to measure vessels but didn’t describe the approach to catheterization. 22 Three out of the 16 studies examined paramedic application of USGPIVA, two within the ED and one out-of-hospital. 5,18,19 Each study measured different outcomes making it difficult to compare and evaluate performance. Acuña, et al aimed to evaluate the performance of a handheld POCUS device as used by paramedics and nurses to perform USGPIVA in the ED. The study enrolled a cohort of 483 participants and reported first attempt success of 84% using a discretionary approach to determine difficulty. 19 The only out-of-hospital study was a randomized, control trial performed by Skulec, et al and evaluated paramedics’ success performing USGPIVA with a handheld POCUS device. 5 Only five paramedics participated in the study, however, 300 patients were enrolled and randomized equally into three groups. Group A received USGPIVA access under complete ultrasound guidance where the catheter was visualized to enter the lumen of the vessel. Group B was partially guided where ultrasound was used to identify the target vessel only. Finally, Group C received standard of care via the landmark approach. 5 The third study by Stolz, et al was set in an ED and aimed to determine the number of attempts required to achieve proficiency with USGPIVA. The participants enrolled 796 patients and achieved an overall success of 88.24%. 18 All of the participants were previously naïve to POCUS and the determinants of difficulty used in the study were not included in the report. Assessment of difficulty of IV access varied considerably between the studies and was largely arbitrary. Most studies had an inclusion criterion of two failed blind attempts. Characteristics of difficulty included the patient reporting history of difficulty, inability to palpate a vessel, and significant comorbidities. Bahl, et al developed the most robust inclusion criteria, including: (1) the patient reports a history of “difficult stick;” (2) experienced at least one previous episode where two or more attempts were required to obtain a peripheral IV; and (3) at least one of the following: (a) prior history of a rescue catheter as a result of an inability to obtain a peripheral IV, (b) history of end-stage renal disease, (c) history of IV drug abuse, or (d) history of sickle cell disease. 20 The approach to ultrasound technique was consistent throughout many of the studies. Eleven of the 16 reviewed studies taught a single operator, dynamic technique and encouraged participants to begin their attempt on the transverse short axis. Miles, et al observed nurse participants typically preferred the transverse approach initially, incorporating the longitudinal approach with more experience. 21 Four of the studies didn’t describe the ultrasound approach they taught or used in the study. Price, et al utilized the transverse approach to measure vessels but didn’t describe the approach to catheterization. 22 Education and Training The approach to training in the reviewed studies was significantly varied and ranged from 90 minutes to 20 hours. All of the training packages included a blend of didactic and hands-on learning, while only some required supervised attempts to assess proficiency. The educational approach of each study is summarized in Table 3. Table 3.Outcome Measures and Ultrasonographic ApproachStudy# Patients/ParticipantsOutcome MeasureFirst Stick Success (%) (USG)Overall Success (%)# PuncturesUS ApproachAcuña, et al 202019 483• Success rate of USGPIVA placement• Complications associated with USGPIVA• Adequacy of handheld device for USGPIVA placement• Confidence level in performing USGPIVA with handheld device84% First Attempt Success92% Overall SuccessN/AIn-plane 70%Out-of-plane 10%Not documented 20%Ault, et al 201523 8 Nurses (Patients Not Recorded)• Number of USGPIVA placements that needed to be performed under supervision to achieve proficiency and consistency• Number of minutes required for successful vessel cannulation• Associated complicationsN/AN/AN/AN/ABahl, et al 201620 124• USGPIVA success rate• Time to USGPIVA placementN/A76% Overall SuccessMeanUSGPIVA: 1.52 per subjectSOC: 1.71 per subjectN/ADuran-Gehring, et al201624 830• First attempt success USGPIVA• Overall PIV success• Number of blind punctures prior to USGPIVA97.5% Overall Success86.8% First Attempt SuccessMeanSOC: 2.1 per subjectUSGPIC: N/AVeins were examined in both transverse/long-axis planes to determine depth and widthSingle operator, transverse, out-of-plane approach for cannulationRotate to long-axis to confirm position of catheter within lumen of the vesselMcCarthy, et al201625 1,617• Success/failure on initial/second attempt• Occurrence of a complication• Patient reported pain associated with the procedure (0-10)• Duration of first attempt82%-86% Regardless of Difficulty80.9% Overall SuccessN/ADynamic, single operator techniqueUS utilized to visualize and guide the needle into the lumenOliveira, et al201626 65• Success of physicians, nurses, and corpsmen utilizing USGPIVA• Number of attemptsNurses: 63.2%Corpsmen: 50%Participants all novice with <5 USGPIVA procedures performed before study commencementN/AAverage 2.8 per patientSingle operator, dynamic techniqueParticipants encouraged to utilize transverse/longitudinal techniquesA novel combination approach taught, involved participants inserting needle in transverse position then rotating probe longitudinally visualize the catheter in the vesselPrice, et al 201922 100• First attempt success rate between double tourniquet and single tourniquet groups (USGPIVA)Single Tourniquet –79.2%Double Tourniquet – 76.5%Single Tourniquet – 97.9%Double Tourniquet – 98%Average 1 per patient (USGPIVA)Participants measured vessels in short-axis orientationApproach to achieve cannulation was not reportedResnick, et al200827 101• Success of skin marking procedure (USGPIVA)• Procedural time• Perceived reason for blind failure• Target vein selection• Depth of target vein• Number of skin punctures• Length of catheter in the vein• Associated complications59.6% First Attempt Success (Varying Experience)73% Second AttemptN/ATarget vessel identified; depth measured in short-axisCatheters were inserted using a dynamic, single operator techniqueAll operators began the procedure in short-axis view and allowed to change to long-axis view if struggling to gain accessSalleras-Duran, et al 20164 103• Nurse perception of difficulty• Success rate USGPIVA overall/first attempt• Catheter longevity• Patient satisfaction84.2% First Attempt Success95.1% Overall SuccessN/AN/ASchoenfeld, et al201128 219• Success rate of USGPIVA• Complication rate• Rate of success based on previous ED technician experience with both standard approach and USGPIVA78.5% First Attempt SuccessNot ReportedMean 1.35 (SD = 0.56)Dynamic, single operator techniqueBoth transverse/longitudinal methods were taughtParticipants encouraged to begin with transverse methodShokoohi, et al20139 401,532• Central venous catheter placement rateN/AN/AN/AN/ASkulec, et al 20205 300• Compare first attempt success between three groups of varying approach• Compare overall success of cannulation• Number of attempts for successful cannulation• Time required to achieve cannulation• Prehospital complicationsFully USG technique where needle visualized to penetrate lumen (Group A) – 88%Partial USG technique visualizing target vessel only (Group B) – 94%Landmark approach (Group C) – 76%Group A – 99%Group B – 99%Group C – 90%Group A: 1.20 (SD = 0.57)Group B: 1.07 (SD = 0.29)Group C: 1.45 (SD = 0.90)P <.001Scanning with transverse probe orientation to identify target veinCompression test to differentiate between vein and arteryColor doppler was used optionally by the operatorParticipants instructed to preferentially use transverse approachStolz, et al 201618 796• Number of attempts required to achieve proficiency and consistency• Overall success rate• Determinants of difficultyN/A88.24% Overall SuccessN/AIn-plane, longitudinal approach where needle was guided into the vessel was emphasized for PIV accessParticipants familiarized with color doppler, compression technique, and transverse methodVinograd, et al201829 58 (300 USGPIVA Attempts)• First attempt success• Complication rates• USPGIV longevity68% First Attempt Success91% Overall SuccessN/AAll PIVs were placed using the dynamic method in the short-axisWeiner, et al201310 50• Rate of physician intervention• Mean time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of pain on 10-point scaleN/AN/AMean: 2Dynamic, single operator techniqueNurses were instructed to use the transverse approach at 45° oblique angle to the vesselMiles. et al 201221 9 Initial Participants• Rate of physician intervention• Time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of painN/AN/AN/ANurses were taught both transverse/longitudinal approachesParticipants typically preferred transverse method until more experiencedAbbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care. Outcome Measures and Ultrasonographic Approach Abbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care. The approach to training in the reviewed studies was significantly varied and ranged from 90 minutes to 20 hours. All of the training packages included a blend of didactic and hands-on learning, while only some required supervised attempts to assess proficiency. The educational approach of each study is summarized in Table 3. Table 3.Outcome Measures and Ultrasonographic ApproachStudy# Patients/ParticipantsOutcome MeasureFirst Stick Success (%) (USG)Overall Success (%)# PuncturesUS ApproachAcuña, et al 202019 483• Success rate of USGPIVA placement• Complications associated with USGPIVA• Adequacy of handheld device for USGPIVA placement• Confidence level in performing USGPIVA with handheld device84% First Attempt Success92% Overall SuccessN/AIn-plane 70%Out-of-plane 10%Not documented 20%Ault, et al 201523 8 Nurses (Patients Not Recorded)• Number of USGPIVA placements that needed to be performed under supervision to achieve proficiency and consistency• Number of minutes required for successful vessel cannulation• Associated complicationsN/AN/AN/AN/ABahl, et al 201620 124• USGPIVA success rate• Time to USGPIVA placementN/A76% Overall SuccessMeanUSGPIVA: 1.52 per subjectSOC: 1.71 per subjectN/ADuran-Gehring, et al201624 830• First attempt success USGPIVA• Overall PIV success• Number of blind punctures prior to USGPIVA97.5% Overall Success86.8% First Attempt SuccessMeanSOC: 2.1 per subjectUSGPIC: N/AVeins were examined in both transverse/long-axis planes to determine depth and widthSingle operator, transverse, out-of-plane approach for cannulationRotate to long-axis to confirm position of catheter within lumen of the vesselMcCarthy, et al201625 1,617• Success/failure on initial/second attempt• Occurrence of a complication• Patient reported pain associated with the procedure (0-10)• Duration of first attempt82%-86% Regardless of Difficulty80.9% Overall SuccessN/ADynamic, single operator techniqueUS utilized to visualize and guide the needle into the lumenOliveira, et al201626 65• Success of physicians, nurses, and corpsmen utilizing USGPIVA• Number of attemptsNurses: 63.2%Corpsmen: 50%Participants all novice with <5 USGPIVA procedures performed before study commencementN/AAverage 2.8 per patientSingle operator, dynamic techniqueParticipants encouraged to utilize transverse/longitudinal techniquesA novel combination approach taught, involved participants inserting needle in transverse position then rotating probe longitudinally visualize the catheter in the vesselPrice, et al 201922 100• First attempt success rate between double tourniquet and single tourniquet groups (USGPIVA)Single Tourniquet –79.2%Double Tourniquet – 76.5%Single Tourniquet – 97.9%Double Tourniquet – 98%Average 1 per patient (USGPIVA)Participants measured vessels in short-axis orientationApproach to achieve cannulation was not reportedResnick, et al200827 101• Success of skin marking procedure (USGPIVA)• Procedural time• Perceived reason for blind failure• Target vein selection• Depth of target vein• Number of skin punctures• Length of catheter in the vein• Associated complications59.6% First Attempt Success (Varying Experience)73% Second AttemptN/ATarget vessel identified; depth measured in short-axisCatheters were inserted using a dynamic, single operator techniqueAll operators began the procedure in short-axis view and allowed to change to long-axis view if struggling to gain accessSalleras-Duran, et al 20164 103• Nurse perception of difficulty• Success rate USGPIVA overall/first attempt• Catheter longevity• Patient satisfaction84.2% First Attempt Success95.1% Overall SuccessN/AN/ASchoenfeld, et al201128 219• Success rate of USGPIVA• Complication rate• Rate of success based on previous ED technician experience with both standard approach and USGPIVA78.5% First Attempt SuccessNot ReportedMean 1.35 (SD = 0.56)Dynamic, single operator techniqueBoth transverse/longitudinal methods were taughtParticipants encouraged to begin with transverse methodShokoohi, et al20139 401,532• Central venous catheter placement rateN/AN/AN/AN/ASkulec, et al 20205 300• Compare first attempt success between three groups of varying approach• Compare overall success of cannulation• Number of attempts for successful cannulation• Time required to achieve cannulation• Prehospital complicationsFully USG technique where needle visualized to penetrate lumen (Group A) – 88%Partial USG technique visualizing target vessel only (Group B) – 94%Landmark approach (Group C) – 76%Group A – 99%Group B – 99%Group C – 90%Group A: 1.20 (SD = 0.57)Group B: 1.07 (SD = 0.29)Group C: 1.45 (SD = 0.90)P <.001Scanning with transverse probe orientation to identify target veinCompression test to differentiate between vein and arteryColor doppler was used optionally by the operatorParticipants instructed to preferentially use transverse approachStolz, et al 201618 796• Number of attempts required to achieve proficiency and consistency• Overall success rate• Determinants of difficultyN/A88.24% Overall SuccessN/AIn-plane, longitudinal approach where needle was guided into the vessel was emphasized for PIV accessParticipants familiarized with color doppler, compression technique, and transverse methodVinograd, et al201829 58 (300 USGPIVA Attempts)• First attempt success• Complication rates• USPGIV longevity68% First Attempt Success91% Overall SuccessN/AAll PIVs were placed using the dynamic method in the short-axisWeiner, et al201310 50• Rate of physician intervention• Mean time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of pain on 10-point scaleN/AN/AMean: 2Dynamic, single operator techniqueNurses were instructed to use the transverse approach at 45° oblique angle to the vesselMiles. et al 201221 9 Initial Participants• Rate of physician intervention• Time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of painN/AN/AN/ANurses were taught both transverse/longitudinal approachesParticipants typically preferred transverse method until more experiencedAbbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care. Outcome Measures and Ultrasonographic Approach Abbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care. Participants: The participant population varied between nurses, paramedics, and emergency technicians. Experience was also varied with some operators proficient with USGPIVA placement and others naïve to POCUS. Most studies included a combined cohort of clinicians with a broad range of clinical experience. Only one study described a paramedic-only cohort and was solely based in the out-of-hospital setting. Scan Protocol: Three out of the 16 studies examined paramedic application of USGPIVA, two within the ED and one out-of-hospital. 5,18,19 Each study measured different outcomes making it difficult to compare and evaluate performance. Acuña, et al aimed to evaluate the performance of a handheld POCUS device as used by paramedics and nurses to perform USGPIVA in the ED. The study enrolled a cohort of 483 participants and reported first attempt success of 84% using a discretionary approach to determine difficulty. 19 The only out-of-hospital study was a randomized, control trial performed by Skulec, et al and evaluated paramedics’ success performing USGPIVA with a handheld POCUS device. 5 Only five paramedics participated in the study, however, 300 patients were enrolled and randomized equally into three groups. Group A received USGPIVA access under complete ultrasound guidance where the catheter was visualized to enter the lumen of the vessel. Group B was partially guided where ultrasound was used to identify the target vessel only. Finally, Group C received standard of care via the landmark approach. 5 The third study by Stolz, et al was set in an ED and aimed to determine the number of attempts required to achieve proficiency with USGPIVA. The participants enrolled 796 patients and achieved an overall success of 88.24%. 18 All of the participants were previously naïve to POCUS and the determinants of difficulty used in the study were not included in the report. Assessment of difficulty of IV access varied considerably between the studies and was largely arbitrary. Most studies had an inclusion criterion of two failed blind attempts. Characteristics of difficulty included the patient reporting history of difficulty, inability to palpate a vessel, and significant comorbidities. Bahl, et al developed the most robust inclusion criteria, including: (1) the patient reports a history of “difficult stick;” (2) experienced at least one previous episode where two or more attempts were required to obtain a peripheral IV; and (3) at least one of the following: (a) prior history of a rescue catheter as a result of an inability to obtain a peripheral IV, (b) history of end-stage renal disease, (c) history of IV drug abuse, or (d) history of sickle cell disease. 20 The approach to ultrasound technique was consistent throughout many of the studies. Eleven of the 16 reviewed studies taught a single operator, dynamic technique and encouraged participants to begin their attempt on the transverse short axis. Miles, et al observed nurse participants typically preferred the transverse approach initially, incorporating the longitudinal approach with more experience. 21 Four of the studies didn’t describe the ultrasound approach they taught or used in the study. Price, et al utilized the transverse approach to measure vessels but didn’t describe the approach to catheterization. 22 Education and Training: The approach to training in the reviewed studies was significantly varied and ranged from 90 minutes to 20 hours. All of the training packages included a blend of didactic and hands-on learning, while only some required supervised attempts to assess proficiency. The educational approach of each study is summarized in Table 3. Table 3.Outcome Measures and Ultrasonographic ApproachStudy# Patients/ParticipantsOutcome MeasureFirst Stick Success (%) (USG)Overall Success (%)# PuncturesUS ApproachAcuña, et al 202019 483• Success rate of USGPIVA placement• Complications associated with USGPIVA• Adequacy of handheld device for USGPIVA placement• Confidence level in performing USGPIVA with handheld device84% First Attempt Success92% Overall SuccessN/AIn-plane 70%Out-of-plane 10%Not documented 20%Ault, et al 201523 8 Nurses (Patients Not Recorded)• Number of USGPIVA placements that needed to be performed under supervision to achieve proficiency and consistency• Number of minutes required for successful vessel cannulation• Associated complicationsN/AN/AN/AN/ABahl, et al 201620 124• USGPIVA success rate• Time to USGPIVA placementN/A76% Overall SuccessMeanUSGPIVA: 1.52 per subjectSOC: 1.71 per subjectN/ADuran-Gehring, et al201624 830• First attempt success USGPIVA• Overall PIV success• Number of blind punctures prior to USGPIVA97.5% Overall Success86.8% First Attempt SuccessMeanSOC: 2.1 per subjectUSGPIC: N/AVeins were examined in both transverse/long-axis planes to determine depth and widthSingle operator, transverse, out-of-plane approach for cannulationRotate to long-axis to confirm position of catheter within lumen of the vesselMcCarthy, et al201625 1,617• Success/failure on initial/second attempt• Occurrence of a complication• Patient reported pain associated with the procedure (0-10)• Duration of first attempt82%-86% Regardless of Difficulty80.9% Overall SuccessN/ADynamic, single operator techniqueUS utilized to visualize and guide the needle into the lumenOliveira, et al201626 65• Success of physicians, nurses, and corpsmen utilizing USGPIVA• Number of attemptsNurses: 63.2%Corpsmen: 50%Participants all novice with <5 USGPIVA procedures performed before study commencementN/AAverage 2.8 per patientSingle operator, dynamic techniqueParticipants encouraged to utilize transverse/longitudinal techniquesA novel combination approach taught, involved participants inserting needle in transverse position then rotating probe longitudinally visualize the catheter in the vesselPrice, et al 201922 100• First attempt success rate between double tourniquet and single tourniquet groups (USGPIVA)Single Tourniquet –79.2%Double Tourniquet – 76.5%Single Tourniquet – 97.9%Double Tourniquet – 98%Average 1 per patient (USGPIVA)Participants measured vessels in short-axis orientationApproach to achieve cannulation was not reportedResnick, et al200827 101• Success of skin marking procedure (USGPIVA)• Procedural time• Perceived reason for blind failure• Target vein selection• Depth of target vein• Number of skin punctures• Length of catheter in the vein• Associated complications59.6% First Attempt Success (Varying Experience)73% Second AttemptN/ATarget vessel identified; depth measured in short-axisCatheters were inserted using a dynamic, single operator techniqueAll operators began the procedure in short-axis view and allowed to change to long-axis view if struggling to gain accessSalleras-Duran, et al 20164 103• Nurse perception of difficulty• Success rate USGPIVA overall/first attempt• Catheter longevity• Patient satisfaction84.2% First Attempt Success95.1% Overall SuccessN/AN/ASchoenfeld, et al201128 219• Success rate of USGPIVA• Complication rate• Rate of success based on previous ED technician experience with both standard approach and USGPIVA78.5% First Attempt SuccessNot ReportedMean 1.35 (SD = 0.56)Dynamic, single operator techniqueBoth transverse/longitudinal methods were taughtParticipants encouraged to begin with transverse methodShokoohi, et al20139 401,532• Central venous catheter placement rateN/AN/AN/AN/ASkulec, et al 20205 300• Compare first attempt success between three groups of varying approach• Compare overall success of cannulation• Number of attempts for successful cannulation• Time required to achieve cannulation• Prehospital complicationsFully USG technique where needle visualized to penetrate lumen (Group A) – 88%Partial USG technique visualizing target vessel only (Group B) – 94%Landmark approach (Group C) – 76%Group A – 99%Group B – 99%Group C – 90%Group A: 1.20 (SD = 0.57)Group B: 1.07 (SD = 0.29)Group C: 1.45 (SD = 0.90)P <.001Scanning with transverse probe orientation to identify target veinCompression test to differentiate between vein and arteryColor doppler was used optionally by the operatorParticipants instructed to preferentially use transverse approachStolz, et al 201618 796• Number of attempts required to achieve proficiency and consistency• Overall success rate• Determinants of difficultyN/A88.24% Overall SuccessN/AIn-plane, longitudinal approach where needle was guided into the vessel was emphasized for PIV accessParticipants familiarized with color doppler, compression technique, and transverse methodVinograd, et al201829 58 (300 USGPIVA Attempts)• First attempt success• Complication rates• USPGIV longevity68% First Attempt Success91% Overall SuccessN/AAll PIVs were placed using the dynamic method in the short-axisWeiner, et al201310 50• Rate of physician intervention• Mean time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of pain on 10-point scaleN/AN/AMean: 2Dynamic, single operator techniqueNurses were instructed to use the transverse approach at 45° oblique angle to the vesselMiles. et al 201221 9 Initial Participants• Rate of physician intervention• Time to PIV placement• Number of skin punctures• Patient satisfaction• Patient perception of painN/AN/AN/ANurses were taught both transverse/longitudinal approachesParticipants typically preferred transverse method until more experiencedAbbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care. Outcome Measures and Ultrasonographic Approach Abbreviations: US, ultrasound; USG, ultrasound-guided; USGPIVA, ultrasound-guided peripheral intravenous access; PIV, peripheral IV; ED, emergency department; SOC, standard of care. Discussion: This scoping review examined 16 articles to identify the utility of non-physician USGPIVA in all settings. Currently, POCUS is an emerging diagnostic adjunct in non-physician clinical care, especially for out-of-hospital providers. 16 Ultrasound technology has advanced to facilitate smaller, more portable, and cost-effective devices that can be translated to non-physician practice and can potentially provide both diagnostic and therapeutic advantages. 4,19 Peripheral IV access is one of the most commonly performed skills by paramedics and nurses in both the out-of-hospital and in-hospital environments. 1–3 Difficulty achieving PIVA is frequently encountered and alternative methods must be sought to establish venous access. 13,25 This often requires the input of a more senior clinician or physician. 9,10,24 Existing physician-based literature on this topic, not included in this review, expounds the advantages of ultrasound-guided technique in improving success, reducing number of punctures, reducing time of procedure, and improving patient satisfaction. 14 Ultrasound-guided PIVA is routinely performed by physicians in the ED; however, emerging literature suggests nurses, paramedics, and ED technicians can competently perform this skill with relatively little additional training. 18,23 The participants included in the studies were of mixed background and experience. Cohorts included nurses, paramedics, emergency technicians, and military corpsmen with experience ranging one year to thirty-five years. Previous exposure to ultrasound was varied and many of the participants were ultrasound naïve and were provided with training as part of the study. Ultrasound-guided PIVA is a well-established practice in EDs globally and is typically carried out by emergency physicians to gain peripheral or central vascular access in patients that have been failed by the traditional method. 9,14 Increasingly, this practice has been studied for adaptation to the scope of other health care providers in the emergency setting. 5,6,16,20 All providers in the studies were already proficient in the traditional method of PIVA; therefore, the ultrasound-guided technique represented an extension of an existing skill. The literature suggests that non-physician health care providers can capably perform USGPIVA with minimal training and supervision. The approach to training participants was non-standardized and ranged from 90 minutes to 20 hours. Three of the studies aimed to evaluate the learning curve associated with training nurses, paramedics, and ED technicians in USGPIVA. 18,23,24 The majority of studies had a training duration of two hours, with some outliers, and this appears to be sufficient to engender proficiency. Duran-Gehring, et al reported that a cohort of 830 ED technicians achieved an USGPIVA rate of 97.5% after completing a brief but comprehensive training program. 24 Training programs typically included a blend of didactic teaching, hands-on simulation, and supervised practice on live patients. Stolz, et al sought to define the learning curve and determined a positive correlation between number of attempts and participant proficiency. Nurses and paramedics achieved a success rate of 88% after 15-26 attempts. 18 A confounding variable identified in many of the studies was significant inconsistencies amongst participant experience where some participants were highly experienced veterans while others only had one year of experience. 26,28 A review appraising educational standards for paramedic POCUS suggests “paramedics may be able to gain proficiency in POCUS reasonably promptly, regardless of base qualification, experience, duration, or perceived quality of training.” 16 These studies conclude that with relatively minimal, but comprehensive training, non-physicians can become proficient and improve success in USGPIVA with experience. Determining DIVA appeared arbitrary in many of the studies with one study relying on a discretionary approach based on perceived difficulty and failed blind attempts. 19 Some studies developed a criterion for inclusion made up of characteristics known to increase difficulty (ie, obesity, IV drug abuse, and multiple comorbidities) while others didn’t document the method they used to determine difficulty. 20 Ultimately, there is a lack of consensus as to what defines “difficult” PIVA, making comparison between studies and patient populations difficult. 19,25 This study revealed an externally validated scale predictive of difficult PIVA in adults (A-DIVA) that may help standardize the approach in determining difficult PIVA. 13 The modified A-DIVA tool developed by van Loon, et al resulted from a large, multi-center, prospective study that enrolled 3,587 patients who failed first attempt peripheral venous access. The resultant data were analyzed and a five-variable additive A-DIVA scale was created based on patient characteristics that affect the outcome of peripheral IV cannulation on first attempt. 13 This externally validated assessment tool appears reliable, generalizable, and predictive of adults at risk of DIVA. 13 Utilization of the A-DIVA scale as a meaningful, quantitative metric can potentially standardize the approach to difficult PIVA as opposed to relying on experience or operator gestalt. 13 This scoping review suggests there are clinical implications to the introduction of non-physician USGPIVA. Typical practice in both ED and out-of-hospital is for non-physician providers to establish PIVA through the landmark approach. 20 If difficulty is encountered or anticipated, the provider may make a blind attempt or escalate to a more senior clinician or physician. 9,10 Ultimately, if peripheral venous access is unable to be achieved, the patient may require CVC placement in the ED or IO access out-of-hospital as an alternative. Placement of a CVC is associated with a greater risk profile of blood stream infection, pneumothorax, and large artery cannulation, which therefore is undesirable for patients who don’t specifically require central venous access. 10,30 Shokoohi, et al assessed the rate of CVC placement in ED patients over a six-year study period after the implementation of an USGPIVA program. 9 This study saw a reduction in CVC placement by up to 80%, especially in the non-critically ill population. 9 In addition to potentially increased risk, the process of having to escalate to a more senior clinician to facilitate vascular access both delays intervention and is a resource burden. 10 Weiner, et al postulated that appropriately trained emergency nurses could reduce the need for physician intervention in patients with difficult vascular access. Their study discovered that in patients assigned to standard of care (landmark approach), physicians were required to intervene in 52.4% of cases, whereas they were only in 24.1% of cases assigned to an ultrasound-guided technique. 10 These studies were the only two that specifically investigated the implications associated with introduction of a non-physician-led, ultrasound-guided IV access program and both reported favorable outcomes. While some of the study cohorts included paramedics, only one was exclusive to the out-of-hospital environment. 5 There is an apparent dearth of literature evaluating USGPIVA placement in the out-of-hospital environment. The existing body of literature is largely supportive of non-physician USGPIVA in-hospital, and given the broad similarities between the professions, should be translatable to the out-of-hospital environment. Recommendations: The clinical definition of “difficult” IV access remains arbitrary and non-standardized. Literature exploring the characteristics associated with DIVA exists, and there has been movement toward the creation of a validated assessment scale that could be utilized to predict DIVA in adult patients. Further investigation into the value of USGPIVA for non-physician providers would benefit from a standardized definition of DIVA. The clinical application of USGPIVA in the in-hospital setting is reasonably well-demonstrated with a growing body of evidence supporting implementation of non-physician-based USGPIVA. Literature examining the application of this practice with both a handheld POCUS device and paramedics in the out-of-hospital environment is scarce. This review identified only one study of such a design. A large, randomized, controlled trial incorporating a standardized DIVA tool with non-physician providers in the out-of-hospital environment would be valuable to broaden the scope of USGPIVA and measure paramedic proficiency. The study would ideally consider first attempt success, overall success, USGPIVA versus landmark method, time to achieve PIVA, number of skin punctures, operator experience, and any associated complications. Limitations: The authors acknowledge the limitations of the scoping review methodology. The articles recovered were generally heterogenous in study design and of low to medium quality. Authors SB, JD, BM, and SJ are all operational paramedics and BM performs USGPIVA in clinical practice. Therefore, there is an acknowledged risk of bias in article selection and interpretation. Conclusion: Ultrasound-guided PIVA for non-physician health care providers appears to be a feasible and effective extension to already established practice. Nurses, paramedics, and ED technicians appear to be able to achieve proficiency, consistency, and a high degree of success when learning and performing USGPIVA. Variations in success were accounted for by variations in experience, which was demonstrated to improve with on-going acquired experience. The lack of a standardized DIVA assessment tool makes it difficult to reliably compare studies. Very little literature exists exploring the feasibility and success of paramedics performing USGPIVA in the out-of-hospital environment. Further studies incorporating a standardized DIVA assessment tool and set in the out-of-hospital environment would aid in validating the clinical utility for POCUS and USGPIVA.
Background: Non-physician performed point-of-care ultrasound (POCUS) is emerging as a diagnostic adjunct with the potential to enhance current practice. The scope of POCUS utility is broad and well-established in-hospital, yet limited research has occurred in the out-of-hospital environment. Many physician-based studies expound the value of POCUS in the acute setting as a therapeutic and diagnostic tool. This study utilized a scoping review methodology to map the literature pertaining to non-physician use of POCUS to improve success of peripheral intravenous access (PIVA), especially in patients predicted to be difficult to cannulate. Methods: Ovid MEDLINE, CINAHL Plus, EMBASE, and PubMed were searched from January 1, 1990 through April 15, 2021. A thorough search of the grey literature and reference lists of relevant articles was also performed to identify additional studies. Articles were included if they examined non-physician utilization of ultrasound-guided PIVA (USGPIVA) for patients anticipated to be difficult to cannulate. Results: A total of 158 articles were identified. A total of 16 articles met the inclusion criteria. The majority of participants had varied experience with ultrasound, making accurate comparison difficult. Training and education were non-standardized, as was the approach to determining difficult intravenous access (DIVA). Despite this, the majority of the studies demonstrated high first attempt and overall success rates for PIVA performed by non-physicians. Conclusions: Non-physician USGPIVA appears to be a superior method for PIVA when difficulty is anticipated. Additional benefits include reduced requirement for central venous catheter (CVC) or intraosseous (IO) needle placement. Paramedics, nurses, and emergency department (ED) technicians are able to achieve competence in this skill with relatively little training. Further research is required to explore the utility of this practice in the out-of-hospital environment.
Introduction: Peripheral intravenous (IV) catheterization is one of the most commonly performed procedures by non-physicians in both the emergency department (ED) and out-of-hospital environment. 1–3 Presently, most providers employ the conventional peripheral intravenous access (PIVA) method, with difficulty often encountered in both anatomically challenging and critically unwell patients. 1,2 The overall failure of PIVA is reportedly from 10% through 40% in EDs, intensive care units, and in the out-of-hospital setting. 4 Failure of the first attempt has been reported to occur in up to 67% of patients requiring subsequent or multiple punctures. 5 Ultrasound-guided PIVA (USGPIVA) occurs routinely in the hospital setting when difficulty is either predicted or encountered. In-hospital clinical studies indicate that ultrasound guidance significantly improves the overall success rate of PIVA and reduces the number of punctures required, time to successful PIVA, physician intervention, and rate of central venous catheter (CVC) insertion. 4,6–10 The implications of failed or inadequate PIVA are varied, often resulting in escalation to a more senior clinician and potentially an alternative vascular access strategy. 9,10 Alternative vascular access is often achieved through the insertion of a CVC in-hospital and intraosseous (IO) access in the out-of-hospital environment. 9,11 Both CVC and IO insertion expose the patient to a range of additional risks that could be avoided with successful PIVA, including bloodstream infection fat emboli, pneumothorax, large artery puncture, impaired flow rates, and osteomyelitis. 9,12 These are undesirable risks for patients where PIVA is less-invasive and sufficiently meets care requirements. Determining patients at risk for difficult intravenous access (DIVA) has historically relied on the clinicians’ experience and clinical gestalt. Patient characteristics associated with difficult PIVA have been identified and developed into externally validated assessment tools that are predictive of adult patients at risk of DIVA, including the Adult – Difficult Intravenous Access (A-DIVA) scale. 13 Increased availability and portability of handheld ultrasound devices has made this practice a realistic consideration for the out-of-hospital setting. Paired with a predictive A-DIVA scale, the adoption of point-of-care ultrasound (POCUS) can significantly improve first attempt success, reduce the occurrence of multiple punctures, and reduce overall time to successful PIVA. 5,13 The efficacy of USGPIVA in-hospital is firmly established when performed by physicians, 14 but such data are not available for non-physicians, particularly in the out-of-hospital environment. This paper aimed to identify the available evidence for the utility of POCUS in anticipated difficult PIVA by non-physicians. Conclusion: Ultrasound-guided PIVA for non-physician health care providers appears to be a feasible and effective extension to already established practice. Nurses, paramedics, and ED technicians appear to be able to achieve proficiency, consistency, and a high degree of success when learning and performing USGPIVA. Variations in success were accounted for by variations in experience, which was demonstrated to improve with on-going acquired experience. The lack of a standardized DIVA assessment tool makes it difficult to reliably compare studies. Very little literature exists exploring the feasibility and success of paramedics performing USGPIVA in the out-of-hospital environment. Further studies incorporating a standardized DIVA assessment tool and set in the out-of-hospital environment would aid in validating the clinical utility for POCUS and USGPIVA.
Background: Non-physician performed point-of-care ultrasound (POCUS) is emerging as a diagnostic adjunct with the potential to enhance current practice. The scope of POCUS utility is broad and well-established in-hospital, yet limited research has occurred in the out-of-hospital environment. Many physician-based studies expound the value of POCUS in the acute setting as a therapeutic and diagnostic tool. This study utilized a scoping review methodology to map the literature pertaining to non-physician use of POCUS to improve success of peripheral intravenous access (PIVA), especially in patients predicted to be difficult to cannulate. Methods: Ovid MEDLINE, CINAHL Plus, EMBASE, and PubMed were searched from January 1, 1990 through April 15, 2021. A thorough search of the grey literature and reference lists of relevant articles was also performed to identify additional studies. Articles were included if they examined non-physician utilization of ultrasound-guided PIVA (USGPIVA) for patients anticipated to be difficult to cannulate. Results: A total of 158 articles were identified. A total of 16 articles met the inclusion criteria. The majority of participants had varied experience with ultrasound, making accurate comparison difficult. Training and education were non-standardized, as was the approach to determining difficult intravenous access (DIVA). Despite this, the majority of the studies demonstrated high first attempt and overall success rates for PIVA performed by non-physicians. Conclusions: Non-physician USGPIVA appears to be a superior method for PIVA when difficulty is anticipated. Additional benefits include reduced requirement for central venous catheter (CVC) or intraosseous (IO) needle placement. Paramedics, nurses, and emergency department (ED) technicians are able to achieve competence in this skill with relatively little training. Further research is required to explore the utility of this practice in the out-of-hospital environment.
10,167
362
[ 68, 545, 1054, 215 ]
10
[ "usgpiva", "success", "approach", "iv", "ultrasound", "study", "guided", "access", "attempt", "participants" ]
[ "ultrasound piva peripheral", "intravenous access piv", "piva routinely performed", "piva ultrasound guided", "intravenous access piva" ]
[CONTENT] IV access | non-physician | peripheral venous access | POCUS | ultrasound [SUMMARY]
[CONTENT] IV access | non-physician | peripheral venous access | POCUS | ultrasound [SUMMARY]
[CONTENT] IV access | non-physician | peripheral venous access | POCUS | ultrasound [SUMMARY]
[CONTENT] IV access | non-physician | peripheral venous access | POCUS | ultrasound [SUMMARY]
[CONTENT] IV access | non-physician | peripheral venous access | POCUS | ultrasound [SUMMARY]
[CONTENT] IV access | non-physician | peripheral venous access | POCUS | ultrasound [SUMMARY]
[CONTENT] Emergency Service, Hospital | Humans | Infusions, Intraosseous | Physicians | Point-of-Care Testing | Ultrasonography [SUMMARY]
[CONTENT] Emergency Service, Hospital | Humans | Infusions, Intraosseous | Physicians | Point-of-Care Testing | Ultrasonography [SUMMARY]
[CONTENT] Emergency Service, Hospital | Humans | Infusions, Intraosseous | Physicians | Point-of-Care Testing | Ultrasonography [SUMMARY]
[CONTENT] Emergency Service, Hospital | Humans | Infusions, Intraosseous | Physicians | Point-of-Care Testing | Ultrasonography [SUMMARY]
[CONTENT] Emergency Service, Hospital | Humans | Infusions, Intraosseous | Physicians | Point-of-Care Testing | Ultrasonography [SUMMARY]
[CONTENT] Emergency Service, Hospital | Humans | Infusions, Intraosseous | Physicians | Point-of-Care Testing | Ultrasonography [SUMMARY]
[CONTENT] ultrasound piva peripheral | intravenous access piv | piva routinely performed | piva ultrasound guided | intravenous access piva [SUMMARY]
[CONTENT] ultrasound piva peripheral | intravenous access piv | piva routinely performed | piva ultrasound guided | intravenous access piva [SUMMARY]
[CONTENT] ultrasound piva peripheral | intravenous access piv | piva routinely performed | piva ultrasound guided | intravenous access piva [SUMMARY]
[CONTENT] ultrasound piva peripheral | intravenous access piv | piva routinely performed | piva ultrasound guided | intravenous access piva [SUMMARY]
[CONTENT] ultrasound piva peripheral | intravenous access piv | piva routinely performed | piva ultrasound guided | intravenous access piva [SUMMARY]
[CONTENT] ultrasound piva peripheral | intravenous access piv | piva routinely performed | piva ultrasound guided | intravenous access piva [SUMMARY]
[CONTENT] usgpiva | success | approach | iv | ultrasound | study | guided | access | attempt | participants [SUMMARY]
[CONTENT] usgpiva | success | approach | iv | ultrasound | study | guided | access | attempt | participants [SUMMARY]
[CONTENT] usgpiva | success | approach | iv | ultrasound | study | guided | access | attempt | participants [SUMMARY]
[CONTENT] usgpiva | success | approach | iv | ultrasound | study | guided | access | attempt | participants [SUMMARY]
[CONTENT] usgpiva | success | approach | iv | ultrasound | study | guided | access | attempt | participants [SUMMARY]
[CONTENT] usgpiva | success | approach | iv | ultrasound | study | guided | access | attempt | participants [SUMMARY]
[CONTENT] piva | hospital | successful piva | access | intravenous | insertion | patients | diva | physicians | non physicians [SUMMARY]
[CONTENT] iv | guided | united | guided iv | iv placement | studyto | device | access | tw | sonosite [SUMMARY]
[CONTENT] transverse | approach | success | usgpiva | group | overall | attempt | rate | participants | single [SUMMARY]
[CONTENT] diva assessment tool | standardized diva assessment tool | standardized diva assessment | diva assessment | variations | standardized diva | assessment tool | tool | standardized | success [SUMMARY]
[CONTENT] usgpiva | success | approach | study | hospital | ultrasound | transverse | piva | non | studies [SUMMARY]
[CONTENT] usgpiva | success | approach | study | hospital | ultrasound | transverse | piva | non | studies [SUMMARY]
[CONTENT] POCUS ||| POCUS ||| POCUS ||| POCUS [SUMMARY]
[CONTENT] Ovid MEDLINE | EMBASE | PubMed | January 1, 1990 through | April 15, 2021 ||| ||| USGPIVA [SUMMARY]
[CONTENT] 158 ||| 16 ||| ||| DIVA ||| first [SUMMARY]
[CONTENT] USGPIVA ||| ||| ||| [SUMMARY]
[CONTENT] POCUS ||| POCUS ||| POCUS ||| POCUS ||| Ovid MEDLINE | EMBASE | PubMed | January 1, 1990 through | April 15, 2021 ||| ||| USGPIVA ||| ||| 158 ||| 16 ||| ||| DIVA ||| first ||| USGPIVA ||| ||| ||| [SUMMARY]
[CONTENT] POCUS ||| POCUS ||| POCUS ||| POCUS ||| Ovid MEDLINE | EMBASE | PubMed | January 1, 1990 through | April 15, 2021 ||| ||| USGPIVA ||| ||| 158 ||| 16 ||| ||| DIVA ||| first ||| USGPIVA ||| ||| ||| [SUMMARY]
Child Sexual Abuse among School Children of a Municipality: A Descriptive Cross-sectional Study.
34508495
Sexual abuse remains a hidden and underreported form of violence against children and a serious public health concern. Although it results in severe mental, physical, and psychological risks with consequences such as depression, fear, and low self-esteem, it is still an unexplored and less prioritized area in Nepal. The objective of this study was to determine the prevalence of Child Sexual Abuse among school children of a municipality.
INTRODUCTION
This was a descriptive cross-sectional study, conducted among 405 students, aged below 18 of Mandan-Deupur Municipality, Kavrepalanchowk from April to May 2018. Ethical clearance was taken from Nepal Health Research Council (Ref no 2506). A simple random sampling technique was used to select the schools. Collected data were then entered and analyzed using Statistical Package for Social Sciences version 16. Point estimate at 95% Confidence Interval was calculated along with frequency and percentage.
METHODS
In overall, 64 (15.8%) (12.4-19.7 at 95% Confidence Interval) were found to be sexually abused, where a high prevalence of Child Sexual Abuse was reported for boys 46 (73.43%).
RESULTS
According to the findings of this study, child sexual abuse is seen as a significant issue in the place studied. Awareness programs on child sexual abuse should be organized targeting children along with parents and community people.
CONCLUSIONS
[ "Aged", "Child", "Child Abuse", "Child Abuse, Sexual", "Cross-Sectional Studies", "Humans", "Male", "Prevalence", "Schools", "Students" ]
9107857
INTRODUCTION
A child under the age of 1 8, if gets involved in any sexual activity that he or she does not fully comprehend is defined as Child Sexual Abuse (CSA). Such activity is evident between a child and an adult or another child who by age or development is in a relationship of responsibility, trust or power, for gratifying the needs of the other person.1 CSA results in severe mental, physical, and psychological hazards such as depression, fear, and low self-esteem.2,3 WHO reports that a child (aged 0-17 years), one in five women and one in 13 men have been sexually harassed.4 In Nepal, child sexual abuse is prevalent in families, neighborhoods, schools, streets, workplaces, social media and so on.5-8 CSA remains underexplored and less prioritized area of study.9 The objective of this study was to find out the prevalence of CSA among school children of Mandan-Deupur Municipality of Kavre district, Nepal.
METHODS
We conducted a descriptive cross-sectional study among the high school students of Mandan-Deupur Municipality, Kavrepalanchowk, Nepal. This was conducted between April to May, 2018. We obtained ethical clearance approval from the Nepal Health Research Council (NHRC approval no. 2506) and also got official permission from the school administration. We acquired written accent and consent from the parents and students respectively. We included students below 18 years studying in grade 8, 9 and 10 of the four higher secondary schools in the municipality. We excluded those who did not gave their consent and were absent during the survey day. Prevalence i.e. 41% was taken from a study conducted in Nepal.10 We determined sample size using the formula: n = Z2 × p × (1 - p) / e2   = (1.96)2 × (0.41) × (1-0.41) / (0.05)2   = 372 Where, n = required sample size Z = 1.96 at 95% level of Confidence Interval e = margin of error, 5% q = 1-p p = prevalence from the previous study, 41%2 Including 9% non-response rate= 9% of 372 = 33.48 ~ 33 Hence, the sample size was 405. We obtained the list of secondary schools along with student's number from Mandan-Deupur Municipality. Simple random Sampling method was use. We selected 8, 9, and 10 grade students they are in such a transition age to get victim of CSA and also a suitable age to get the selfadministered questions filled. We included 405 school student of grade 8, 9, and 10 from the selected schools. Firstly, we contacted the teachers to orient them the study questionnaire, purpose of the study, privacy and confidentiality that will be maintained throughout the study. After the verbal permission, the students were distributed the accent and the consent sheet to get it from their parents and the students. This was followed by the distribution of the self-administered questionnaire to the participants to gather the information. In this study, we investigated socio-demographic and child sexual abuse characteristics. Questionnaires were adapted from various studies.10-12 We translated the questionnaires into Nepali language and experts were consulted to check the translated questionnaire. We pretested the questionnaire in 10% of calculated sample size, in a similar setting to verify the tools developed in Nepali language. We used Statistical Package for Social Sciences (SPSS) version 16 for data management and analysis. We calculated the descriptive statistics using frequencies and percentages to describe the study population and interpreted them into tables. Point estimate at 95% Confidence Interval was calculated along with frequency and percentage.
RESULTS
Out of 405 respondents, 64 (15.8%) (12.4-19.7 at 95% Confidence Interval) were found to be sexually abused (Figure 1), where high prevalence of CSA was among boys 47 (73.43%). More than one third 24 (37.5%) of respondents were sexually abused when they were 12-16 years. Around 5 (7.81%) of them were sexually abused before their age was 6 years. CSA was highly prevalent among boys 47 (73.43%) rather than girls (26.56%) (Table 1). Below table reveals that among sexually abused respondents, 45 (66.2%) were forced to watch sexual activities and almost half of the victims 29 (45.31 %) were sexually abused 1 time. Most of the respondents were sexually abused at public places. All of the respondents had experienced some sort of immediate effect after being sexually abused. Out of 64 respondents who were sexually abused, only half of them disclosed the incident with their parents 2 (5.7%) and friends 33 (94.3%). In spite of disclosure, 13 (38.2%) of victims were ignored and 12 (32.4%) of them were not believed by anyone. The main reason for not disclosing about the event was because of shame 24 (44.4%) (Table 1). Indicate multiple response question Out of the total respondents (n = 405) participated in the survey, 291 (71.9%) children were of age group 1015 years. Both gender, male 223 (55.1%) and female 182 (44.9%) were almost equal in number. About 234 (57.8%) students belonged to a joint family. Maximum participants 128 (31.6%) had family income less than Rs 20,000 (Table 2). Indicate multiple response question Maximum participants 340 (85.9%) had a good understanding of CSA. Out of total, 41 (10.4%) understood CSA as an act of making children touch and fondle genital or other body parts. 185 (72.5%) of participants received child sexual abuse related information via teachers followed by elder people 93 (36.5%). One third (31%) of children received information from their parents and 33.7% of them gained it from friends. Out of 79 respondents, 58 (73.42%) of them received CSA related information by their mothers (Table 3). indicate multiple response question Majority 42 (65.63%) of the predators were male and 39 (60.1%) of them were in the age group of less than 20 years. More than half of the predators 33 (54.1%) were stranger to the victim, followed by neighbors 21 (29.6%) (Table 4). indicate multiple response question Half of respondents 212 (52.3%) used social media sites and about 11 (5%) of the respondents were sexually abused via them.
CONCLUSIONS
Respondents had faced child sexual abuse in different forms and majority were forced to watch sexual activities. However, the disclosure rate was very low. Children rarely reported sexual harassment directly after the incident. In addition, disclosure appears to be a phase rather than a discrete episode and is often triggered after a physical complaint or a behavior change. The reluctance to disclose abuse tends to stem from a fear of the perpetrator. So, there is still a need for an awareness program on CSA to students, parents and other community people as well. The conducive and friendly environment should be created where the children can freely express what they have felt and experienced. This may help them to disclose the suffering they were passing through.
[]
[]
[]
[ "INTRODUCTION", "METHODS", "RESULTS", "DISCUSSION", "CONCLUSIONS" ]
[ "A child under the age of 1 8, if gets involved in any sexual activity that he or she does not fully comprehend is defined as Child Sexual Abuse (CSA). Such activity is evident between a child and an adult or another child who by age or development is in a relationship of responsibility, trust or power, for gratifying the needs of the other person.1 CSA results in severe mental, physical, and psychological hazards such as depression, fear, and low self-esteem.2,3 WHO reports that a child (aged 0-17 years), one in five women and one in 13 men have been sexually harassed.4\nIn Nepal, child sexual abuse is prevalent in families, neighborhoods, schools, streets, workplaces, social media and so on.5-8 CSA remains underexplored and less prioritized area of study.9\nThe objective of this study was to find out the prevalence of CSA among school children of Mandan-Deupur Municipality of Kavre district, Nepal.", "We conducted a descriptive cross-sectional study among the high school students of Mandan-Deupur Municipality, Kavrepalanchowk, Nepal. This was conducted between April to May, 2018. We obtained ethical clearance approval from the Nepal Health Research Council (NHRC approval no. 2506) and also got official permission from the school administration. We acquired written accent and consent from the parents and students respectively.\nWe included students below 18 years studying in grade 8, 9 and 10 of the four higher secondary schools in the municipality. We excluded those who did not gave their consent and were absent during the survey day.\nPrevalence i.e. 41% was taken from a study conducted in Nepal.10 We determined sample size using the formula:\nn = Z2 × p × (1 - p) / e2\n  = (1.96)2 × (0.41) × (1-0.41) / (0.05)2\n  = 372\nWhere,\nn = required sample size\nZ = 1.96 at 95% level of Confidence Interval\ne = margin of error, 5%\nq = 1-p\np = prevalence from the previous study, 41%2 Including 9% non-response rate= 9% of 372 = 33.48 ~ 33\nHence, the sample size was 405. We obtained the list of secondary schools along with student's number from Mandan-Deupur Municipality. Simple random Sampling method was use. We selected 8, 9, and 10 grade students they are in such a transition age to get victim of CSA and also a suitable age to get the selfadministered questions filled. We included 405 school student of grade 8, 9, and 10 from the selected schools.\nFirstly, we contacted the teachers to orient them the study questionnaire, purpose of the study, privacy and confidentiality that will be maintained throughout the study. After the verbal permission, the students were distributed the accent and the consent sheet to get it from their parents and the students. This was followed by the distribution of the self-administered questionnaire to the participants to gather the information. In this study, we investigated socio-demographic and child sexual abuse characteristics. Questionnaires were adapted from various studies.10-12 We translated the questionnaires into Nepali language and experts were consulted to check the translated questionnaire. We pretested the questionnaire in 10% of calculated sample size, in a similar setting to verify the tools developed in Nepali language. We used Statistical Package for Social Sciences (SPSS) version 16 for data management and analysis. We calculated the descriptive statistics using frequencies and percentages to describe the study population and interpreted them into tables. Point estimate at 95% Confidence Interval was calculated along with frequency and percentage.", "Out of 405 respondents, 64 (15.8%) (12.4-19.7 at 95% Confidence Interval) were found to be sexually abused (Figure 1), where high prevalence of CSA was among boys 47 (73.43%).\nMore than one third 24 (37.5%) of respondents were sexually abused when they were 12-16 years. Around 5 (7.81%) of them were sexually abused before their age was 6 years. CSA was highly prevalent among boys 47 (73.43%) rather than girls (26.56%) (Table 1). Below table reveals that among sexually abused respondents, 45 (66.2%) were forced to watch sexual activities and almost half of the victims 29 (45.31 %) were sexually abused 1 time. Most of the respondents were sexually abused at public places. All of the respondents had experienced some sort of immediate effect after being sexually abused. Out of 64 respondents who were sexually abused, only half of them disclosed the incident with their parents 2 (5.7%) and friends 33 (94.3%). In spite of disclosure, 13 (38.2%) of victims were ignored and 12 (32.4%) of them were not believed by anyone. The main reason for not disclosing about the event was because of shame 24 (44.4%) (Table 1).\nIndicate multiple response question\nOut of the total respondents (n = 405) participated in the survey, 291 (71.9%) children were of age group 1015 years. Both gender, male 223 (55.1%) and female 182 (44.9%) were almost equal in number. About 234 (57.8%) students belonged to a joint family. Maximum participants 128 (31.6%) had family income less than Rs 20,000 (Table 2).\nIndicate multiple response question\nMaximum participants 340 (85.9%) had a good understanding of CSA. Out of total, 41 (10.4%) understood CSA as an act of making children touch and fondle genital or other body parts. 185 (72.5%) of participants received child sexual abuse related information via teachers followed by elder people 93 (36.5%). One third (31%) of children received information from their parents and 33.7% of them gained it from friends. Out of 79 respondents, 58 (73.42%) of them received CSA related information by their mothers (Table 3).\nindicate multiple response question\nMajority 42 (65.63%) of the predators were male and 39 (60.1%) of them were in the age group of less than 20 years. More than half of the predators 33 (54.1%) were stranger to the victim, followed by neighbors 21 (29.6%) (Table 4).\nindicate multiple response question\nHalf of respondents 212 (52.3%) used social media sites and about 11 (5%) of the respondents were sexually abused via them.", "WHO and UNICEF have identified child abuse as a global public health concern.13 Our study had higher prevalence of CSA among boys (73.43%) as compared to girls (26.56%). Prevalence was also higher in males (54.8%) in a study conducted by Rajbanshi in Nepal among 13-15 years high school students of Kathmandu valley.10 The reason for higher prevalence among boys might be their openness to share about sexual issues compared to girls and higher peer pressure to watch sexual media contents.14’15\nRajbanshi, in his study “Prevalence of Sexual Abuse among School Children” carried out in selected high schools in Kathmandu Valley in 2012, found that out of total 150 student respondent 41.3% of them had faced any sort of sexual abuse either verbal, exhibitionism, or body contact.10 But in contrast, our study suggested that, there was prevalence of 15.8% of CSA. The reason for comparatively less prevalence in this study was the difference in definition of CSA. Verbal form of CSA was not included as sexual abuse in this study. Rajbanshi also found that they were mostly abused by their own family members and relatives rather than strangers which coincided with our study that found out 54.1% of predators as stranger. But we could not ignore the fact that children were found to be abused by their neighbor and their own family members as well which was a matter of concern. Similarly, a retrospective and descriptive analysis of cases of sexual abuse victims examined in the forensic medicine department at IOM, Maharajgunj and Gandaki Medical College, Pokhara over four years (2012-2016 A.D.) provided the fact that 87% of the perpetrator were known individuals and only 13% were strangers.16\nA systematic review done among studies published between 2002-2009 reported that 9 girls and 3 boys out of 100 were victims of forced intercourse.17 We had a total of three respondents who were victims of forced sexual intercourse. In cases, such as CSA with lasting effect on the victim, even 3 is a big number.\nOur study showed that most respondents were abused between the ages of 12 and 16 which matches with the results from sexual abuse victims examined in the forensic medicine department of different Nepali Medical Schools where half of the victims were from this age group.16 Many of our respondents claimed to have forgotten the incident that might have happened before the age of 11. In a study from southern Brazil, 60% of all reported CSA happened before age 12.18 All these studies revealed that CSA is mostly observed in the beginning phase of puberty. So, special concern for children is needed at that particular stage of life. At this age children are going through many changes physically and mentally. According to Hall, this is a storm and stress period meaning a time marked by psychological characteristics of contradiction and conflict. They are vulnerable and as the predators are usually known and trusted caregivers' children often fall victim to sexual abuse.19\nThe prevalence of forcing children to watch and show genitals in our study was 13.2%. This number matches with that of a study from South India done among college students (10%).20\nA large-scale study conducted in Sweden revealed that the disclosure rate among sexually abused girls was 81% and boys was 69% among high school seniors. They most often disclosed with friends of the same age and few with professionals and authorities.21 In our study the victims disclosed incidents mostly with friends (94.3%). A survey conducted in Finland showed that the most of the children (80%) had disclosed to someone, most commonly friends (48%), adults (26%), and authorities (12%). The major reason for not disclosing was that they didn't consider the experience serious enough for reporting (41%); half of the children having CSA experiences did not selflabel their experiences as sexual abuse and 14% lacked the courage to disclose.22 In this study, victims didn't disclose the problem due to shamefulness (44.4%), considered it was normal (24.07%).", "Respondents had faced child sexual abuse in different forms and majority were forced to watch sexual activities. However, the disclosure rate was very low. Children rarely reported sexual harassment directly after the incident. In addition, disclosure appears to be a phase rather than a discrete episode and is often triggered after a physical complaint or a behavior change. The reluctance to disclose abuse tends to stem from a fear of the perpetrator. So, there is still a need for an awareness program on CSA to students, parents and other community people as well. The conducive and friendly environment should be created where the children can freely express what they have felt and experienced. This may help them to disclose the suffering they were passing through." ]
[ "intro", "methods", "results", "discussion", "conclusions" ]
[ "\nchild sexual abuse\n", "\nNepal\n", "\nprevalence\n" ]
INTRODUCTION: A child under the age of 1 8, if gets involved in any sexual activity that he or she does not fully comprehend is defined as Child Sexual Abuse (CSA). Such activity is evident between a child and an adult or another child who by age or development is in a relationship of responsibility, trust or power, for gratifying the needs of the other person.1 CSA results in severe mental, physical, and psychological hazards such as depression, fear, and low self-esteem.2,3 WHO reports that a child (aged 0-17 years), one in five women and one in 13 men have been sexually harassed.4 In Nepal, child sexual abuse is prevalent in families, neighborhoods, schools, streets, workplaces, social media and so on.5-8 CSA remains underexplored and less prioritized area of study.9 The objective of this study was to find out the prevalence of CSA among school children of Mandan-Deupur Municipality of Kavre district, Nepal. METHODS: We conducted a descriptive cross-sectional study among the high school students of Mandan-Deupur Municipality, Kavrepalanchowk, Nepal. This was conducted between April to May, 2018. We obtained ethical clearance approval from the Nepal Health Research Council (NHRC approval no. 2506) and also got official permission from the school administration. We acquired written accent and consent from the parents and students respectively. We included students below 18 years studying in grade 8, 9 and 10 of the four higher secondary schools in the municipality. We excluded those who did not gave their consent and were absent during the survey day. Prevalence i.e. 41% was taken from a study conducted in Nepal.10 We determined sample size using the formula: n = Z2 × p × (1 - p) / e2   = (1.96)2 × (0.41) × (1-0.41) / (0.05)2   = 372 Where, n = required sample size Z = 1.96 at 95% level of Confidence Interval e = margin of error, 5% q = 1-p p = prevalence from the previous study, 41%2 Including 9% non-response rate= 9% of 372 = 33.48 ~ 33 Hence, the sample size was 405. We obtained the list of secondary schools along with student's number from Mandan-Deupur Municipality. Simple random Sampling method was use. We selected 8, 9, and 10 grade students they are in such a transition age to get victim of CSA and also a suitable age to get the selfadministered questions filled. We included 405 school student of grade 8, 9, and 10 from the selected schools. Firstly, we contacted the teachers to orient them the study questionnaire, purpose of the study, privacy and confidentiality that will be maintained throughout the study. After the verbal permission, the students were distributed the accent and the consent sheet to get it from their parents and the students. This was followed by the distribution of the self-administered questionnaire to the participants to gather the information. In this study, we investigated socio-demographic and child sexual abuse characteristics. Questionnaires were adapted from various studies.10-12 We translated the questionnaires into Nepali language and experts were consulted to check the translated questionnaire. We pretested the questionnaire in 10% of calculated sample size, in a similar setting to verify the tools developed in Nepali language. We used Statistical Package for Social Sciences (SPSS) version 16 for data management and analysis. We calculated the descriptive statistics using frequencies and percentages to describe the study population and interpreted them into tables. Point estimate at 95% Confidence Interval was calculated along with frequency and percentage. RESULTS: Out of 405 respondents, 64 (15.8%) (12.4-19.7 at 95% Confidence Interval) were found to be sexually abused (Figure 1), where high prevalence of CSA was among boys 47 (73.43%). More than one third 24 (37.5%) of respondents were sexually abused when they were 12-16 years. Around 5 (7.81%) of them were sexually abused before their age was 6 years. CSA was highly prevalent among boys 47 (73.43%) rather than girls (26.56%) (Table 1). Below table reveals that among sexually abused respondents, 45 (66.2%) were forced to watch sexual activities and almost half of the victims 29 (45.31 %) were sexually abused 1 time. Most of the respondents were sexually abused at public places. All of the respondents had experienced some sort of immediate effect after being sexually abused. Out of 64 respondents who were sexually abused, only half of them disclosed the incident with their parents 2 (5.7%) and friends 33 (94.3%). In spite of disclosure, 13 (38.2%) of victims were ignored and 12 (32.4%) of them were not believed by anyone. The main reason for not disclosing about the event was because of shame 24 (44.4%) (Table 1). Indicate multiple response question Out of the total respondents (n = 405) participated in the survey, 291 (71.9%) children were of age group 1015 years. Both gender, male 223 (55.1%) and female 182 (44.9%) were almost equal in number. About 234 (57.8%) students belonged to a joint family. Maximum participants 128 (31.6%) had family income less than Rs 20,000 (Table 2). Indicate multiple response question Maximum participants 340 (85.9%) had a good understanding of CSA. Out of total, 41 (10.4%) understood CSA as an act of making children touch and fondle genital or other body parts. 185 (72.5%) of participants received child sexual abuse related information via teachers followed by elder people 93 (36.5%). One third (31%) of children received information from their parents and 33.7% of them gained it from friends. Out of 79 respondents, 58 (73.42%) of them received CSA related information by their mothers (Table 3). indicate multiple response question Majority 42 (65.63%) of the predators were male and 39 (60.1%) of them were in the age group of less than 20 years. More than half of the predators 33 (54.1%) were stranger to the victim, followed by neighbors 21 (29.6%) (Table 4). indicate multiple response question Half of respondents 212 (52.3%) used social media sites and about 11 (5%) of the respondents were sexually abused via them. DISCUSSION: WHO and UNICEF have identified child abuse as a global public health concern.13 Our study had higher prevalence of CSA among boys (73.43%) as compared to girls (26.56%). Prevalence was also higher in males (54.8%) in a study conducted by Rajbanshi in Nepal among 13-15 years high school students of Kathmandu valley.10 The reason for higher prevalence among boys might be their openness to share about sexual issues compared to girls and higher peer pressure to watch sexual media contents.14’15 Rajbanshi, in his study “Prevalence of Sexual Abuse among School Children” carried out in selected high schools in Kathmandu Valley in 2012, found that out of total 150 student respondent 41.3% of them had faced any sort of sexual abuse either verbal, exhibitionism, or body contact.10 But in contrast, our study suggested that, there was prevalence of 15.8% of CSA. The reason for comparatively less prevalence in this study was the difference in definition of CSA. Verbal form of CSA was not included as sexual abuse in this study. Rajbanshi also found that they were mostly abused by their own family members and relatives rather than strangers which coincided with our study that found out 54.1% of predators as stranger. But we could not ignore the fact that children were found to be abused by their neighbor and their own family members as well which was a matter of concern. Similarly, a retrospective and descriptive analysis of cases of sexual abuse victims examined in the forensic medicine department at IOM, Maharajgunj and Gandaki Medical College, Pokhara over four years (2012-2016 A.D.) provided the fact that 87% of the perpetrator were known individuals and only 13% were strangers.16 A systematic review done among studies published between 2002-2009 reported that 9 girls and 3 boys out of 100 were victims of forced intercourse.17 We had a total of three respondents who were victims of forced sexual intercourse. In cases, such as CSA with lasting effect on the victim, even 3 is a big number. Our study showed that most respondents were abused between the ages of 12 and 16 which matches with the results from sexual abuse victims examined in the forensic medicine department of different Nepali Medical Schools where half of the victims were from this age group.16 Many of our respondents claimed to have forgotten the incident that might have happened before the age of 11. In a study from southern Brazil, 60% of all reported CSA happened before age 12.18 All these studies revealed that CSA is mostly observed in the beginning phase of puberty. So, special concern for children is needed at that particular stage of life. At this age children are going through many changes physically and mentally. According to Hall, this is a storm and stress period meaning a time marked by psychological characteristics of contradiction and conflict. They are vulnerable and as the predators are usually known and trusted caregivers' children often fall victim to sexual abuse.19 The prevalence of forcing children to watch and show genitals in our study was 13.2%. This number matches with that of a study from South India done among college students (10%).20 A large-scale study conducted in Sweden revealed that the disclosure rate among sexually abused girls was 81% and boys was 69% among high school seniors. They most often disclosed with friends of the same age and few with professionals and authorities.21 In our study the victims disclosed incidents mostly with friends (94.3%). A survey conducted in Finland showed that the most of the children (80%) had disclosed to someone, most commonly friends (48%), adults (26%), and authorities (12%). The major reason for not disclosing was that they didn't consider the experience serious enough for reporting (41%); half of the children having CSA experiences did not selflabel their experiences as sexual abuse and 14% lacked the courage to disclose.22 In this study, victims didn't disclose the problem due to shamefulness (44.4%), considered it was normal (24.07%). CONCLUSIONS: Respondents had faced child sexual abuse in different forms and majority were forced to watch sexual activities. However, the disclosure rate was very low. Children rarely reported sexual harassment directly after the incident. In addition, disclosure appears to be a phase rather than a discrete episode and is often triggered after a physical complaint or a behavior change. The reluctance to disclose abuse tends to stem from a fear of the perpetrator. So, there is still a need for an awareness program on CSA to students, parents and other community people as well. The conducive and friendly environment should be created where the children can freely express what they have felt and experienced. This may help them to disclose the suffering they were passing through.
Background: Sexual abuse remains a hidden and underreported form of violence against children and a serious public health concern. Although it results in severe mental, physical, and psychological risks with consequences such as depression, fear, and low self-esteem, it is still an unexplored and less prioritized area in Nepal. The objective of this study was to determine the prevalence of Child Sexual Abuse among school children of a municipality. Methods: This was a descriptive cross-sectional study, conducted among 405 students, aged below 18 of Mandan-Deupur Municipality, Kavrepalanchowk from April to May 2018. Ethical clearance was taken from Nepal Health Research Council (Ref no 2506). A simple random sampling technique was used to select the schools. Collected data were then entered and analyzed using Statistical Package for Social Sciences version 16. Point estimate at 95% Confidence Interval was calculated along with frequency and percentage. Results: In overall, 64 (15.8%) (12.4-19.7 at 95% Confidence Interval) were found to be sexually abused, where a high prevalence of Child Sexual Abuse was reported for boys 46 (73.43%). Conclusions: According to the findings of this study, child sexual abuse is seen as a significant issue in the place studied. Awareness programs on child sexual abuse should be organized targeting children along with parents and community people.
INTRODUCTION: A child under the age of 1 8, if gets involved in any sexual activity that he or she does not fully comprehend is defined as Child Sexual Abuse (CSA). Such activity is evident between a child and an adult or another child who by age or development is in a relationship of responsibility, trust or power, for gratifying the needs of the other person.1 CSA results in severe mental, physical, and psychological hazards such as depression, fear, and low self-esteem.2,3 WHO reports that a child (aged 0-17 years), one in five women and one in 13 men have been sexually harassed.4 In Nepal, child sexual abuse is prevalent in families, neighborhoods, schools, streets, workplaces, social media and so on.5-8 CSA remains underexplored and less prioritized area of study.9 The objective of this study was to find out the prevalence of CSA among school children of Mandan-Deupur Municipality of Kavre district, Nepal. CONCLUSIONS: Respondents had faced child sexual abuse in different forms and majority were forced to watch sexual activities. However, the disclosure rate was very low. Children rarely reported sexual harassment directly after the incident. In addition, disclosure appears to be a phase rather than a discrete episode and is often triggered after a physical complaint or a behavior change. The reluctance to disclose abuse tends to stem from a fear of the perpetrator. So, there is still a need for an awareness program on CSA to students, parents and other community people as well. The conducive and friendly environment should be created where the children can freely express what they have felt and experienced. This may help them to disclose the suffering they were passing through.
Background: Sexual abuse remains a hidden and underreported form of violence against children and a serious public health concern. Although it results in severe mental, physical, and psychological risks with consequences such as depression, fear, and low self-esteem, it is still an unexplored and less prioritized area in Nepal. The objective of this study was to determine the prevalence of Child Sexual Abuse among school children of a municipality. Methods: This was a descriptive cross-sectional study, conducted among 405 students, aged below 18 of Mandan-Deupur Municipality, Kavrepalanchowk from April to May 2018. Ethical clearance was taken from Nepal Health Research Council (Ref no 2506). A simple random sampling technique was used to select the schools. Collected data were then entered and analyzed using Statistical Package for Social Sciences version 16. Point estimate at 95% Confidence Interval was calculated along with frequency and percentage. Results: In overall, 64 (15.8%) (12.4-19.7 at 95% Confidence Interval) were found to be sexually abused, where a high prevalence of Child Sexual Abuse was reported for boys 46 (73.43%). Conclusions: According to the findings of this study, child sexual abuse is seen as a significant issue in the place studied. Awareness programs on child sexual abuse should be organized targeting children along with parents and community people.
2,173
264
[]
5
[ "study", "sexual", "csa", "abuse", "children", "respondents", "abused", "sexual abuse", "age", "prevalence" ]
[ "abuse 19 prevalence", "sexually abused respondents", "sexual abuse csa", "harassed nepal child", "nepal child sexual" ]
[CONTENT] child sexual abuse | Nepal | prevalence [SUMMARY]
[CONTENT] child sexual abuse | Nepal | prevalence [SUMMARY]
[CONTENT] child sexual abuse | Nepal | prevalence [SUMMARY]
[CONTENT] child sexual abuse | Nepal | prevalence [SUMMARY]
[CONTENT] child sexual abuse | Nepal | prevalence [SUMMARY]
[CONTENT] child sexual abuse | Nepal | prevalence [SUMMARY]
[CONTENT] Aged | Child | Child Abuse | Child Abuse, Sexual | Cross-Sectional Studies | Humans | Male | Prevalence | Schools | Students [SUMMARY]
[CONTENT] Aged | Child | Child Abuse | Child Abuse, Sexual | Cross-Sectional Studies | Humans | Male | Prevalence | Schools | Students [SUMMARY]
[CONTENT] Aged | Child | Child Abuse | Child Abuse, Sexual | Cross-Sectional Studies | Humans | Male | Prevalence | Schools | Students [SUMMARY]
[CONTENT] Aged | Child | Child Abuse | Child Abuse, Sexual | Cross-Sectional Studies | Humans | Male | Prevalence | Schools | Students [SUMMARY]
[CONTENT] Aged | Child | Child Abuse | Child Abuse, Sexual | Cross-Sectional Studies | Humans | Male | Prevalence | Schools | Students [SUMMARY]
[CONTENT] Aged | Child | Child Abuse | Child Abuse, Sexual | Cross-Sectional Studies | Humans | Male | Prevalence | Schools | Students [SUMMARY]
[CONTENT] abuse 19 prevalence | sexually abused respondents | sexual abuse csa | harassed nepal child | nepal child sexual [SUMMARY]
[CONTENT] abuse 19 prevalence | sexually abused respondents | sexual abuse csa | harassed nepal child | nepal child sexual [SUMMARY]
[CONTENT] abuse 19 prevalence | sexually abused respondents | sexual abuse csa | harassed nepal child | nepal child sexual [SUMMARY]
[CONTENT] abuse 19 prevalence | sexually abused respondents | sexual abuse csa | harassed nepal child | nepal child sexual [SUMMARY]
[CONTENT] abuse 19 prevalence | sexually abused respondents | sexual abuse csa | harassed nepal child | nepal child sexual [SUMMARY]
[CONTENT] abuse 19 prevalence | sexually abused respondents | sexual abuse csa | harassed nepal child | nepal child sexual [SUMMARY]
[CONTENT] study | sexual | csa | abuse | children | respondents | abused | sexual abuse | age | prevalence [SUMMARY]
[CONTENT] study | sexual | csa | abuse | children | respondents | abused | sexual abuse | age | prevalence [SUMMARY]
[CONTENT] study | sexual | csa | abuse | children | respondents | abused | sexual abuse | age | prevalence [SUMMARY]
[CONTENT] study | sexual | csa | abuse | children | respondents | abused | sexual abuse | age | prevalence [SUMMARY]
[CONTENT] study | sexual | csa | abuse | children | respondents | abused | sexual abuse | age | prevalence [SUMMARY]
[CONTENT] study | sexual | csa | abuse | children | respondents | abused | sexual abuse | age | prevalence [SUMMARY]
[CONTENT] child | child age | activity | csa | sexual | study | nepal | child sexual abuse | age | child sexual [SUMMARY]
[CONTENT] study | 10 | sample size | size | sample | questionnaire | students | calculated | consent | grade [SUMMARY]
[CONTENT] sexually abused | abused | respondents | sexually | table | respondents sexually abused | multiple | table indicate multiple response | table indicate multiple | table indicate [SUMMARY]
[CONTENT] disclose | sexual | disclosure | children | conducive friendly | conducive | parents community people | parents community people conducive | stem | stem fear [SUMMARY]
[CONTENT] study | sexual | csa | respondents | abused | children | abuse | child | sexually | sexually abused [SUMMARY]
[CONTENT] study | sexual | csa | respondents | abused | children | abuse | child | sexually | sexually abused [SUMMARY]
[CONTENT] ||| Nepal ||| Child Sexual Abuse [SUMMARY]
[CONTENT] 405 | 18 | Mandan-Deupur Municipality | Kavrepalanchowk | April to May 2018 ||| Nepal Health Research Council ||| ||| Statistical Package for Social Sciences | 16 ||| Point | 95% [SUMMARY]
[CONTENT] 64 | 15.8% | 12.4 | 95% | Child Sexual Abuse | 46 ( | 73.43% [SUMMARY]
[CONTENT] ||| [SUMMARY]
[CONTENT] ||| Nepal ||| Child Sexual Abuse ||| 405 | 18 | Mandan-Deupur Municipality | Kavrepalanchowk | April to May 2018 ||| Nepal Health Research Council ||| ||| Statistical Package for Social Sciences | 16 ||| Point | 95% ||| ||| 64 | 15.8% | 12.4 | 95% | Child Sexual Abuse | 46 ( | 73.43% ||| ||| [SUMMARY]
[CONTENT] ||| Nepal ||| Child Sexual Abuse ||| 405 | 18 | Mandan-Deupur Municipality | Kavrepalanchowk | April to May 2018 ||| Nepal Health Research Council ||| ||| Statistical Package for Social Sciences | 16 ||| Point | 95% ||| ||| 64 | 15.8% | 12.4 | 95% | Child Sexual Abuse | 46 ( | 73.43% ||| ||| [SUMMARY]
Effect of addition of FSH, LH and proteasome inhibitor MG132 to in vitro maturation medium on the developmental competence of yak (Bos grunniens) oocytes.
24754924
The competence for embryonic development after IVF is low in the yak, therefore, we investigated the effects of supplementation of FSH, LH and the proteasome inhibitor MG132 in IVM media on yak oocyte competence for development after IVF.
BACKGROUND
In Experiment 1, yak cumulus-oocyte complexes (COCs) were in vitro matured (IVM) in TCM-199 with 20% fetal calf serum (FCS), 1 microg/mL estradiol-17beta, and different combinations of LH (50 or 100 IU/mL) and FSH (0, 1, 5, 10 microg/mL) at 38.6 degrees C, 5% CO2 in air for 24 h. Matured oocytes were exposed to frozen-thawed, heparin-capacitated yak sperm. Presumptive zygotes were cultured in SOF medium containing 6 mg/ml BSA, 0.5 mg/mL myoinositol, 3% (v/v) essential amino acids, 1% nonessential amino acids and 100 μg/mL L-glutamine (48 h, 38.5 degrees C, 5% CO2, 5% O2, and 90% N2). In Experiment 2, cumulus cells were collected at the end of IVM to determine FSHR and LHR mRNA expression by real-time PCR. In Experiment 3 and 4, COCs were cultured in the presence or absence of the proteasomal inhibitor MG132 from either 0-6 h or 18-24 h after initiation of maturation.
METHODS
The optimum concentration of FSH and LH in IVM media was 5 microg/mL FSH and 50 IU/mL LH which resulted in the greatest cleavage (79.1%) and blastocyst rates (16.1%). Both FSHR and LHR mRNA were detected in yak cumulus cells after IVM. Treatment with MG132 early in maturation reduced (P<0.05) cleavage and blastocyst rates. Conversely, treatment with MG132 late in maturation improved (P<0.05) blastocyst rate. Optimal results with MG132 were achieved at a concentration of 10 microM.
RESULTS
An optimum concentration of FSH and LH in IVM medium, and treatment with MG132 late in maturation can improve yak oocytes competence for development after IVF.
CONCLUSIONS
[ "Animals", "Cattle", "Cells, Cultured", "Culture Media", "Female", "Follicle Stimulating Hormone", "Leupeptins", "Luteinizing Hormone", "Oocytes", "Proteasome Inhibitors" ]
3998235
Background
In most mammals, throughout follicular development, the oocytes undergo a series of profound changes involving both nuclear and cytoplasmic maturation induced by the pre-ovulatory surge of gonadotropins during this period [1]. These changes are essential for the formation of oocytes having the capacity for fertilization and embryonic development. Therefore, in vitro culture systems of most species often occur in in vitro maturation (IVM) media supplemented with gonadotrophins such as FSH and LH to induce cumulus cell expansion, nuclear maturation, cytoplasmic maturation, and to improve embryonic development in mice [2,3], pig [4], cow [5], equine [6] and domestic dog [7]. For gonadotrophins to act in vitro, FSH and LH receptor (FSHR and LHR) proteins and mRNA must be expressed by the cumulus cell [8]. The proteasome, a multisubunit proteolytic complex involved in degradation of ubiquitinated proteins, plays a crucial role in assuring completion of meiosis and early in maturation of oocyte, however, late in the process of oocyte maturation, the proteasome may contribute to a reduction in the functional properties of the oocyte. Treatment with the proteasome inhibitor MG132 reduced the effect of in vitro aging on oocyte competence in the mouse [9]. Furthermore, treatment of oocytes with MG132 late in maturation increased abundance of specific transcripts and improved developmental competence of parthenogenetically-activated oocytes in the pig [10] and in vitro matured oocytes in cattle [11]. The yak (Bos grunniens) is the principal meat and dairy animal in Qinghai-Tibet plateau, because few other animals survive in these areas [12]. In vitro production (IVP) of embryos is a well-established embryonic biotechnology with a variety of application in basic and applied sciences. IVP has been made great progress in cattle which is becoming one of the most exciting and progressive procedures available for today’s producers but the efficiency of yak IVP is still low, i.e. less than 10% of cleaved embryos (i.e., that were ≥2 cells) becoming blastocysts [13,14]. Therefore, this study was performed to investigate the effect of FSH, LH and MG132 during oocytes maturation on competence for development after fertilization in the yak.
Methods
Materials Dulbecco’s phosphate-buffered saline (DPBS) was purchased from Hyclone Laboratories Inc. (Logan, UT), FSH from Bioniche Inc. (Belleville, Ontario, Canada) and fetal calf serum (FCS) from Gibco (Grand Island, NY). All other chemicals and reagents were cell-culture tested and were obtained from Sigma-Aldrich (St. Louis, MO). Synthetic oviductal fluid (SOF) medium was prepared according to the formula of Tervit et al.[15] minus glucose. All media were filtered through 0.2 μm Millipore filter (Carrigtwohill, Co. Cork, Ireland) and placed in an incubator (Forma Serial II, USA) to equilibrate for four to six hours in an atmosphere of 5% CO2 in air. Dulbecco’s phosphate-buffered saline (DPBS) was purchased from Hyclone Laboratories Inc. (Logan, UT), FSH from Bioniche Inc. (Belleville, Ontario, Canada) and fetal calf serum (FCS) from Gibco (Grand Island, NY). All other chemicals and reagents were cell-culture tested and were obtained from Sigma-Aldrich (St. Louis, MO). Synthetic oviductal fluid (SOF) medium was prepared according to the formula of Tervit et al.[15] minus glucose. All media were filtered through 0.2 μm Millipore filter (Carrigtwohill, Co. Cork, Ireland) and placed in an incubator (Forma Serial II, USA) to equilibrate for four to six hours in an atmosphere of 5% CO2 in air. Oocyte collection and in vitro maturation (IVM) Collection and IVM of yak oocytes were performed in accordance with the method of Zi et al. [13,16]. Briefly, ovaries were collected from yaks at local abattoir from October to December, and transported to the laboratory in DPBS maintained at 29–33°C. Cumulus-oocyte complexes (COCs) were aspirated from follicles (2–8 mm diameter) using a hand-held 10-ml syringe connected to an 18 ga needle. COCs were collected in DPBS supplemented with 6 mg/ml BSA under a low-power (20×) stereomicroscope. Unselected COCs were rinsed three times in DPBS containing 5% (v/v) FCS and twice in TCM 199 supplemented with 20% (v/v) FCS, 1 μg/ml estradiol-17β, 100 U/ml penicillin and 100 μg/ml streptomycin, different concentrations of FSH and LH according to the experimental design (IVM medium). Only COCs having one or more layers of cumulus cells and evenly granulated ooplasm were selected. Up to 30 COCs were placed in each culture well (Nunc Inc., Naperville IL, USA) containing 600 μl of maturation medium covered with 300 μl mineral oil. COCs were allowed to mature for approximately 24 h at 38.6°C in an atmosphere of 5% CO2 in humidified air. Collection and IVM of yak oocytes were performed in accordance with the method of Zi et al. [13,16]. Briefly, ovaries were collected from yaks at local abattoir from October to December, and transported to the laboratory in DPBS maintained at 29–33°C. Cumulus-oocyte complexes (COCs) were aspirated from follicles (2–8 mm diameter) using a hand-held 10-ml syringe connected to an 18 ga needle. COCs were collected in DPBS supplemented with 6 mg/ml BSA under a low-power (20×) stereomicroscope. Unselected COCs were rinsed three times in DPBS containing 5% (v/v) FCS and twice in TCM 199 supplemented with 20% (v/v) FCS, 1 μg/ml estradiol-17β, 100 U/ml penicillin and 100 μg/ml streptomycin, different concentrations of FSH and LH according to the experimental design (IVM medium). Only COCs having one or more layers of cumulus cells and evenly granulated ooplasm were selected. Up to 30 COCs were placed in each culture well (Nunc Inc., Naperville IL, USA) containing 600 μl of maturation medium covered with 300 μl mineral oil. COCs were allowed to mature for approximately 24 h at 38.6°C in an atmosphere of 5% CO2 in humidified air. Sperm preparation, in vitro fertilization, and embryo culture Sperm preparation and IVF were conducted according to previously described procedures [13,16] with some modifications. Frozen semen was thawed and washed by centrifugation through a Percoll gradient (30%/45%) containing Hepes-buffered SOF medium supplemented with 5 mg/ml BSA, 50 μg/ml caffeine, 30 μg/ml glutathione and 20 μg/ml heparin (sperm medium) and centrifuged at 500 × g for 10 min to separate motile sperm. After centrifugation, 120 μl of the concentrated sperm fraction was removed and placed into 200 μl of sperm medium and incubated at 38.6°C for 15 min. After oocyte maturation, excess cummulus cells were removed by gently swirling the COCs in a 36 mm Petri dish containing SOF with 6 mg/ml BSA (IVF medium). The COCs were further washed twice in IVF medium before being transferred into four-well plates (up to 30 per well) containing 500 μl IVF medium covered with 300 μl mineral oil per well. Each well received 50 μl of the sperm suspension (for a final concentration of 1 × 106 motile sperm/ml). Oocytes and sperm were allowed to coincubate for 24–26 h at 38.6°C in an atmosphere of 5% CO2 in humidified air. Remnant cumulus cells were removed from the putative zygotes by gentle pipetting after approximately 26 h of coincubation. The putative zygotes were then washed three times in SOF medium. Groups of 25 embryos were cultured in 600 μl of SOF medium supplemented with 6 mg/ml BSA, 0.5 mg/ml myoinositol, 3% (v/v) essential amino acids, 1% (v/v) nonessential amino acids, 100 U/ml penicillin, 100 μg/ml streptomycin and 100 μg/ml L-glutamine (culture medium) under 300 μl mineral oil, cultured in a humidified atmosphere of 5% CO2, 5% O2, and 90% N2 at 38.5°C. The number of zygotes that cleaved was recorded 48 h post insemination (hpi). The culture medium was changed at 96 hpi and blastocyst development was determined on Days 7 to 9 post insemination (Day 0 = insemination). This experiment was replicated three to five times for each group. Sperm preparation and IVF were conducted according to previously described procedures [13,16] with some modifications. Frozen semen was thawed and washed by centrifugation through a Percoll gradient (30%/45%) containing Hepes-buffered SOF medium supplemented with 5 mg/ml BSA, 50 μg/ml caffeine, 30 μg/ml glutathione and 20 μg/ml heparin (sperm medium) and centrifuged at 500 × g for 10 min to separate motile sperm. After centrifugation, 120 μl of the concentrated sperm fraction was removed and placed into 200 μl of sperm medium and incubated at 38.6°C for 15 min. After oocyte maturation, excess cummulus cells were removed by gently swirling the COCs in a 36 mm Petri dish containing SOF with 6 mg/ml BSA (IVF medium). The COCs were further washed twice in IVF medium before being transferred into four-well plates (up to 30 per well) containing 500 μl IVF medium covered with 300 μl mineral oil per well. Each well received 50 μl of the sperm suspension (for a final concentration of 1 × 106 motile sperm/ml). Oocytes and sperm were allowed to coincubate for 24–26 h at 38.6°C in an atmosphere of 5% CO2 in humidified air. Remnant cumulus cells were removed from the putative zygotes by gentle pipetting after approximately 26 h of coincubation. The putative zygotes were then washed three times in SOF medium. Groups of 25 embryos were cultured in 600 μl of SOF medium supplemented with 6 mg/ml BSA, 0.5 mg/ml myoinositol, 3% (v/v) essential amino acids, 1% (v/v) nonessential amino acids, 100 U/ml penicillin, 100 μg/ml streptomycin and 100 μg/ml L-glutamine (culture medium) under 300 μl mineral oil, cultured in a humidified atmosphere of 5% CO2, 5% O2, and 90% N2 at 38.5°C. The number of zygotes that cleaved was recorded 48 h post insemination (hpi). The culture medium was changed at 96 hpi and blastocyst development was determined on Days 7 to 9 post insemination (Day 0 = insemination). This experiment was replicated three to five times for each group. Expression of FSHR and LHR in cumulus cells after in vitro maturation GAPDH gene was chosen as reference gene for normalizing expression levels of target genes. Primers specific for target goat genes were designed with Beacon Designer 7.0 software (Premier Biosoft International, Palo Alto, CA USA) according to manufacturers guidelines (FSHR: 5'-TTCAATGGGACAACGCTGATTTC-3'/5'-TGTGGCAATTAGCGTCTGAATG GA-3'; LHR: 5'-AGTGACACCAAGATAGCCAAGC-3/5-GGTAGAACAGGACCAGGAGG AT-3'; GAPDH: 5'-AGTTCCACGGCACAGTCAAG-3'/5'-ACTCAGCACCAGCATCACC- 3'). Total RNA of cumulus cells after in vitro maturation (different concentrations of FSH and LH in IVM medium) was extracted, and reverse transcribed as described previously [17]. Real-time PCR was performed using on an iCycler iQ5 Real-time Detection System (Bio-Rad, CA, USA) with the SsoFast™ EvaGreen Supermix (Bio-Rad, CA, USA) in a volume of 10 μl. The cycle parameters were 3 min at 95°C, followed by 45 cycles of denaturation at 95°C for 10 s and annealing at 60.7°C (FSHR), 58.9°C (LHR) or 57.7°C (GAPDH) for 10 s, and finally, melt curve analysis. The real-time PCR amplification efficiency (E) of each primer pair and mean Ct (threshold cycles) values were calculated and used for determination of target gene RNA transcript levels [18], which includes a correction for differences in E between the target and housekeeping gene. Results were expressed, however, as relative expression ratios (RE) rather than as fold changes from a calibrator sample. The formula, therefore, was as RE = (1 + E ref) Ct ref /(1 + E target) Ct target . Each sample was tested in triplicate, and each experiment was replicated four times with cumulus cells from 30–50 COCs for each replicate. GAPDH gene was chosen as reference gene for normalizing expression levels of target genes. Primers specific for target goat genes were designed with Beacon Designer 7.0 software (Premier Biosoft International, Palo Alto, CA USA) according to manufacturers guidelines (FSHR: 5'-TTCAATGGGACAACGCTGATTTC-3'/5'-TGTGGCAATTAGCGTCTGAATG GA-3'; LHR: 5'-AGTGACACCAAGATAGCCAAGC-3/5-GGTAGAACAGGACCAGGAGG AT-3'; GAPDH: 5'-AGTTCCACGGCACAGTCAAG-3'/5'-ACTCAGCACCAGCATCACC- 3'). Total RNA of cumulus cells after in vitro maturation (different concentrations of FSH and LH in IVM medium) was extracted, and reverse transcribed as described previously [17]. Real-time PCR was performed using on an iCycler iQ5 Real-time Detection System (Bio-Rad, CA, USA) with the SsoFast™ EvaGreen Supermix (Bio-Rad, CA, USA) in a volume of 10 μl. The cycle parameters were 3 min at 95°C, followed by 45 cycles of denaturation at 95°C for 10 s and annealing at 60.7°C (FSHR), 58.9°C (LHR) or 57.7°C (GAPDH) for 10 s, and finally, melt curve analysis. The real-time PCR amplification efficiency (E) of each primer pair and mean Ct (threshold cycles) values were calculated and used for determination of target gene RNA transcript levels [18], which includes a correction for differences in E between the target and housekeeping gene. Results were expressed, however, as relative expression ratios (RE) rather than as fold changes from a calibrator sample. The formula, therefore, was as RE = (1 + E ref) Ct ref /(1 + E target) Ct target . Each sample was tested in triplicate, and each experiment was replicated four times with cumulus cells from 30–50 COCs for each replicate. Experimental design Experiment 1 was conducted to investigate the optimal concentration of FSH and LH in IVM medium to improve yak oocyte competence for development after fertilization. COCs were matured in IVM medium that was supplemented with different combinations of LH (50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml). Experiment 2 was conducted to investigate the effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in cumulus cells after 24 h IVM. COCs were matured in IVM medium that was supplemented with different combinations of LH (0, 50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml). Cumulus cells were collected at the end of IVM for each combination to determine FSHR and LHR mRNA expression. Experiment 3 was conducted to investigate the concentration-dependent effects of MG132 added at the end of oocyte maturation on embryonic development. The MG132 was dissolved in dimethyl sulfoxide (DMSO) and was added to maturation drops so that the final concentration of DMSO was not greater than 0.5% (v/v). The control oocytes were cultured with medium supplemented with a similar amount of DMSO during IVM as for oocytes treated with MG132. COCs were matured in IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) that was supplemented with 0, 10, 20 or 30 μM MG132 from 18 h to 24 h after initiation of maturation. Treatment was achieved by washing COCs after 18 h of maturation and placing them in fresh medium containing MG132. Experiment 4 was conducted to determine whether timing of MG132 treatment altered effects of the inhibitor on embryonic development. COCs were untreated or treated with 10 μM MG132 at two times [0–6 h of maturation (during the initiation of maturation) or 18–24 h of maturation (at the end of maturation)] using a 2 × 2 factorial arrangement of treatments. The COCs were placed in appropriate treatments at 0 h (MG132), washed at 6 h, placed in fresh IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) without MG132, washed at 18 h of maturation, and placed in fresh medium with appropriate treatment. Thus, some cultures received MG132 at 0–6 h and 18–24 h, some received MG132 from 0–6 h only, some received MG132 from 18–24 h only, and some did not receive MG132 treatment during in vitro maturation. Experiment 1 was conducted to investigate the optimal concentration of FSH and LH in IVM medium to improve yak oocyte competence for development after fertilization. COCs were matured in IVM medium that was supplemented with different combinations of LH (50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml). Experiment 2 was conducted to investigate the effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in cumulus cells after 24 h IVM. COCs were matured in IVM medium that was supplemented with different combinations of LH (0, 50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml). Cumulus cells were collected at the end of IVM for each combination to determine FSHR and LHR mRNA expression. Experiment 3 was conducted to investigate the concentration-dependent effects of MG132 added at the end of oocyte maturation on embryonic development. The MG132 was dissolved in dimethyl sulfoxide (DMSO) and was added to maturation drops so that the final concentration of DMSO was not greater than 0.5% (v/v). The control oocytes were cultured with medium supplemented with a similar amount of DMSO during IVM as for oocytes treated with MG132. COCs were matured in IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) that was supplemented with 0, 10, 20 or 30 μM MG132 from 18 h to 24 h after initiation of maturation. Treatment was achieved by washing COCs after 18 h of maturation and placing them in fresh medium containing MG132. Experiment 4 was conducted to determine whether timing of MG132 treatment altered effects of the inhibitor on embryonic development. COCs were untreated or treated with 10 μM MG132 at two times [0–6 h of maturation (during the initiation of maturation) or 18–24 h of maturation (at the end of maturation)] using a 2 × 2 factorial arrangement of treatments. The COCs were placed in appropriate treatments at 0 h (MG132), washed at 6 h, placed in fresh IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) without MG132, washed at 18 h of maturation, and placed in fresh medium with appropriate treatment. Thus, some cultures received MG132 at 0–6 h and 18–24 h, some received MG132 from 0–6 h only, some received MG132 from 18–24 h only, and some did not receive MG132 treatment during in vitro maturation. Statistics Data were analyzed statistically as follows. For each replicate, percentage of oocytes that cleaved and percentage of cleaved embryos that became blastocysts were calculated for all oocytes or embryos within the same treatment. Thus, the group of oocytes treated alike within each replicate was the experimental unit. Statistical analyses were performed using the Statistical Analysis System (version 9.2, SAS Institute Inc., Cary, NC, USA). Data were analyzed using the General Linear Models procedure. Percentage data were arcsine- transformed prior to analysis to maintain homogeneity of variance. Results are expressed as least-squares means ± standard error (SE) of the untransformed data. Data were analyzed statistically as follows. For each replicate, percentage of oocytes that cleaved and percentage of cleaved embryos that became blastocysts were calculated for all oocytes or embryos within the same treatment. Thus, the group of oocytes treated alike within each replicate was the experimental unit. Statistical analyses were performed using the Statistical Analysis System (version 9.2, SAS Institute Inc., Cary, NC, USA). Data were analyzed using the General Linear Models procedure. Percentage data were arcsine- transformed prior to analysis to maintain homogeneity of variance. Results are expressed as least-squares means ± standard error (SE) of the untransformed data.
Results
The optimal concentration of FSH and LH in IVM medium (Experiment 1) Effects of FSH and LH concentration in IVM medium on subsequent embryonic development of the yak were shown in Table 1. The optimal concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH, i.e. both the cleavage rate and the blastocyst rate were the highest at this condition. There was a tendency for high LH concentration (100 IU/ml) in IVM medium to decrease the subsequent cleavage rate. Effects of FSH and LH concentration in IVM medium on yak embryonic development Three to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05). Effects of FSH and LH concentration in IVM medium on subsequent embryonic development of the yak were shown in Table 1. The optimal concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH, i.e. both the cleavage rate and the blastocyst rate were the highest at this condition. There was a tendency for high LH concentration (100 IU/ml) in IVM medium to decrease the subsequent cleavage rate. Effects of FSH and LH concentration in IVM medium on yak embryonic development Three to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05). Effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in cumulus cells (Experiment 2) FSHR and LHR mRNA expressions of cumulus cells in media supplemented with different concentrations of FSH and LH were shown in Figure 1. Both FSHR and LHR mRNA were detected in yak cumulus cells after in vitro maturation, and the greatest expression was observed when the concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH. The cumulus cells had higher numbers of FSH receptors than LH receptors. Addition of FSH in IVM media had a greater effect on increase of these receptors than that of LH. Effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in yak cumulus cells after 24 h IVM as determined by real-time PCR. The experiments were carried out in four replicates. The expression of these mRNAs was normalized to the expression of GAPDH measured in the same RNA preparation. Results were expressed as the mean ± SD. FSHR and LHR mRNA expressions of cumulus cells in media supplemented with different concentrations of FSH and LH were shown in Figure 1. Both FSHR and LHR mRNA were detected in yak cumulus cells after in vitro maturation, and the greatest expression was observed when the concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH. The cumulus cells had higher numbers of FSH receptors than LH receptors. Addition of FSH in IVM media had a greater effect on increase of these receptors than that of LH. Effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in yak cumulus cells after 24 h IVM as determined by real-time PCR. The experiments were carried out in four replicates. The expression of these mRNAs was normalized to the expression of GAPDH measured in the same RNA preparation. Results were expressed as the mean ± SD. Concentration-dependent effect of MG132 from 18–24 h of maturation on subsequent embryonic development (Experiment 3) Results for COCs treated from 18 to 24 h of maturation with 0, 10, 20 or 30 μM MG132 are shown in Table 2. Treatment of COCs with 10 μM MG132 in IVM medium increased (P < 0.05) the percentage of cleaved embryos (i.e., that were ≥2 cells) becoming blastocysts. There was, however, no effect of 10 μM MG132 on the cleavage rate. Treatment with 20 μM MG132 had no effect on the cleavage rate and the percentage of cleaved embryos becoming blastocysts. However, treatment with 30 μM MG132 had negative effect on subsequent development. Concentration-dependent effects of MG132 added from 18–24 h of maturation on yak embryonic development Three to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05). Results for COCs treated from 18 to 24 h of maturation with 0, 10, 20 or 30 μM MG132 are shown in Table 2. Treatment of COCs with 10 μM MG132 in IVM medium increased (P < 0.05) the percentage of cleaved embryos (i.e., that were ≥2 cells) becoming blastocysts. There was, however, no effect of 10 μM MG132 on the cleavage rate. Treatment with 20 μM MG132 had no effect on the cleavage rate and the percentage of cleaved embryos becoming blastocysts. However, treatment with 30 μM MG132 had negative effect on subsequent development. Concentration-dependent effects of MG132 added from 18–24 h of maturation on yak embryonic development Three to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05). Fertilization rates of oocytes treated with MG132 from 0–6 or 18–24 h of maturation (Experiment 4) Results are in Table 3. Addition of MG132 from 0–6 h of maturation reduced fertilization rate regardless of whether MG132 was also added at 18–24 h of maturation (P < 0.05), but treatment of COCs with 10 μM MG132 increased (P < 0.05) the percentage of cleaved embryos becoming blastocysts, as also shown in Experiment 2. Effects of timing of MG132 treatment (10 μM) on yak embryonic development Three to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05). Results are in Table 3. Addition of MG132 from 0–6 h of maturation reduced fertilization rate regardless of whether MG132 was also added at 18–24 h of maturation (P < 0.05), but treatment of COCs with 10 μM MG132 increased (P < 0.05) the percentage of cleaved embryos becoming blastocysts, as also shown in Experiment 2. Effects of timing of MG132 treatment (10 μM) on yak embryonic development Three to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05).
Conclusions
An optimal concentration of FSH and LH improves oocytes competence for development after fertilization in yak. Treatment with MG132 early in maturation reduces fertilization rate and the proportion of oocytes and cleaved embryos that became blastocysts. Conversely, inhibition of proteasomes late in maturation can improve oocytes competence for development after fertilization.
[ "Background", "Materials", "Oocyte collection and in vitro maturation (IVM)", "Sperm preparation, in vitro fertilization, and embryo culture", "Expression of FSHR and LHR in cumulus cells after in vitro maturation", "Experimental design", "Statistics", "The optimal concentration of FSH and LH in IVM medium (Experiment 1)", "Effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in cumulus cells (Experiment 2)", "Concentration-dependent effect of MG132 from 18–24 h of maturation on subsequent embryonic development (Experiment 3)", "Fertilization rates of oocytes treated with MG132 from 0–6 or 18–24 h of maturation (Experiment 4)", "Competing interests", "Authors’ contributions" ]
[ "In most mammals, throughout follicular development, the oocytes undergo a series of profound changes involving both nuclear and cytoplasmic maturation induced by the pre-ovulatory surge of gonadotropins during this period [1]. These changes are essential for the formation of oocytes having the capacity for fertilization and embryonic development. Therefore, in vitro culture systems of most species often occur in in vitro maturation (IVM) media supplemented with gonadotrophins such as FSH and LH to induce cumulus cell expansion, nuclear maturation, cytoplasmic maturation, and to improve embryonic development in mice [2,3], pig [4], cow [5], equine [6] and domestic dog [7]. For gonadotrophins to act in vitro, FSH and LH receptor (FSHR and LHR) proteins and mRNA must be expressed by the cumulus cell [8]. The proteasome, a multisubunit proteolytic complex involved in degradation of ubiquitinated proteins, plays a crucial role in assuring completion of meiosis and early in maturation of oocyte, however, late in the process of oocyte maturation, the proteasome may contribute to a reduction in the functional properties of the oocyte. Treatment with the proteasome inhibitor MG132 reduced the effect of in vitro aging on oocyte competence in the mouse [9]. Furthermore, treatment of oocytes with MG132 late in maturation increased abundance of specific transcripts and improved developmental competence of parthenogenetically-activated oocytes in the pig [10] and in vitro matured oocytes in cattle [11].\nThe yak (Bos grunniens) is the principal meat and dairy animal in Qinghai-Tibet plateau, because few other animals survive in these areas [12]. In vitro production (IVP) of embryos is a well-established embryonic biotechnology with a variety of application in basic and applied sciences. IVP has been made great progress in cattle which is becoming one of the most exciting and progressive procedures available for today’s producers but the efficiency of yak IVP is still low, i.e. less than 10% of cleaved embryos (i.e., that were ≥2 cells) becoming blastocysts [13,14]. Therefore, this study was performed to investigate the effect of FSH, LH and MG132 during oocytes maturation on competence for development after fertilization in the yak.", "Dulbecco’s phosphate-buffered saline (DPBS) was purchased from Hyclone Laboratories Inc. (Logan, UT), FSH from Bioniche Inc. (Belleville, Ontario, Canada) and fetal calf serum (FCS) from Gibco (Grand Island, NY). All other chemicals and reagents were cell-culture tested and were obtained from Sigma-Aldrich (St. Louis, MO). Synthetic oviductal fluid (SOF) medium was prepared according to the formula of Tervit et al.[15] minus glucose. All media were filtered through 0.2 μm Millipore filter (Carrigtwohill, Co. Cork, Ireland) and placed in an incubator (Forma Serial II, USA) to equilibrate for four to six hours in an atmosphere of 5% CO2 in air.", "Collection and IVM of yak oocytes were performed in accordance with the method of Zi et al. [13,16]. Briefly, ovaries were collected from yaks at local abattoir from October to December, and transported to the laboratory in DPBS maintained at 29–33°C. Cumulus-oocyte complexes (COCs) were aspirated from follicles (2–8 mm diameter) using a hand-held 10-ml syringe connected to an 18 ga needle. COCs were collected in DPBS supplemented with 6 mg/ml BSA under a low-power (20×) stereomicroscope. Unselected COCs were rinsed three times in DPBS containing 5% (v/v) FCS and twice in TCM 199 supplemented with 20% (v/v) FCS, 1 μg/ml estradiol-17β, 100 U/ml penicillin and 100 μg/ml streptomycin, different concentrations of FSH and LH according to the experimental design (IVM medium). Only COCs having one or more layers of cumulus cells and evenly granulated ooplasm were selected. Up to 30 COCs were placed in each culture well (Nunc Inc., Naperville IL, USA) containing 600 μl of maturation medium covered with 300 μl mineral oil. COCs were allowed to mature for approximately 24 h at 38.6°C in an atmosphere of 5% CO2 in humidified air.", "Sperm preparation and IVF were conducted according to previously described procedures [13,16] with some modifications. Frozen semen was thawed and washed by centrifugation through a Percoll gradient (30%/45%) containing Hepes-buffered SOF medium supplemented with 5 mg/ml BSA, 50 μg/ml caffeine, 30 μg/ml glutathione and 20 μg/ml heparin (sperm medium) and centrifuged at 500 × g for 10 min to separate motile sperm. After centrifugation, 120 μl of the concentrated sperm fraction was removed and placed into 200 μl of sperm medium and incubated at 38.6°C for 15 min.\nAfter oocyte maturation, excess cummulus cells were removed by gently swirling the COCs in a 36 mm Petri dish containing SOF with 6 mg/ml BSA (IVF medium). The COCs were further washed twice in IVF medium before being transferred into four-well plates (up to 30 per well) containing 500 μl IVF medium covered with 300 μl mineral oil per well. Each well received 50 μl of the sperm suspension (for a final concentration of 1 × 106 motile sperm/ml). Oocytes and sperm were allowed to coincubate for 24–26 h at 38.6°C in an atmosphere of 5% CO2 in humidified air. Remnant cumulus cells were removed from the putative zygotes by gentle pipetting after approximately 26 h of coincubation. The putative zygotes were then washed three times in SOF medium. Groups of 25 embryos were cultured in 600 μl of SOF medium supplemented with 6 mg/ml BSA, 0.5 mg/ml myoinositol, 3% (v/v) essential amino acids, 1% (v/v) nonessential amino acids, 100 U/ml penicillin, 100 μg/ml streptomycin and 100 μg/ml L-glutamine (culture medium) under 300 μl mineral oil, cultured in a humidified atmosphere of 5% CO2, 5% O2, and 90% N2 at 38.5°C. The number of zygotes that cleaved was recorded 48 h post insemination (hpi). The culture medium was changed at 96 hpi and blastocyst development was determined on Days 7 to 9 post insemination (Day 0 = insemination). This experiment was replicated three to five times for each group.", "GAPDH gene was chosen as reference gene for normalizing expression levels of target genes. Primers specific for target goat genes were designed with Beacon Designer 7.0 software (Premier Biosoft International, Palo Alto, CA USA) according to manufacturers guidelines (FSHR: 5'-TTCAATGGGACAACGCTGATTTC-3'/5'-TGTGGCAATTAGCGTCTGAATG GA-3'; LHR: 5'-AGTGACACCAAGATAGCCAAGC-3/5-GGTAGAACAGGACCAGGAGG AT-3'; GAPDH: 5'-AGTTCCACGGCACAGTCAAG-3'/5'-ACTCAGCACCAGCATCACC- 3'). Total RNA of cumulus cells after in vitro maturation (different concentrations of FSH and LH in IVM medium) was extracted, and reverse transcribed as described previously [17]. Real-time PCR was performed using on an iCycler iQ5 Real-time Detection System (Bio-Rad, CA, USA) with the SsoFast™ EvaGreen Supermix (Bio-Rad, CA, USA) in a volume of 10 μl. The cycle parameters were 3 min at 95°C, followed by 45 cycles of denaturation at 95°C for 10 s and annealing at 60.7°C (FSHR), 58.9°C (LHR) or 57.7°C (GAPDH) for 10 s, and finally, melt curve analysis. The real-time PCR amplification efficiency (E) of each primer pair and mean Ct (threshold cycles) values were calculated and used for determination of target gene RNA transcript levels [18], which includes a correction for differences in E between the target and housekeeping gene. Results were expressed, however, as relative expression ratios (RE) rather than as fold changes from a calibrator sample. The formula, therefore, was as RE = (1 + E ref)\nCt ref\n/(1 + E target)\nCt target\n. Each sample was tested in triplicate, and each experiment was replicated four times with cumulus cells from 30–50 COCs for each replicate.", "Experiment 1 was conducted to investigate the optimal concentration of FSH and LH in IVM medium to improve yak oocyte competence for development after fertilization. COCs were matured in IVM medium that was supplemented with different combinations of LH (50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml).\nExperiment 2 was conducted to investigate the effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in cumulus cells after 24 h IVM. COCs were matured in IVM medium that was supplemented with different combinations of LH (0, 50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml). Cumulus cells were collected at the end of IVM for each combination to determine FSHR and LHR mRNA expression.\nExperiment 3 was conducted to investigate the concentration-dependent effects of MG132 added at the end of oocyte maturation on embryonic development. The MG132 was dissolved in dimethyl sulfoxide (DMSO) and was added to maturation drops so that the final concentration of DMSO was not greater than 0.5% (v/v). The control oocytes were cultured with medium supplemented with a similar amount of DMSO during IVM as for oocytes treated with MG132. COCs were matured in IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) that was supplemented with 0, 10, 20 or 30 μM MG132 from 18 h to 24 h after initiation of maturation. Treatment was achieved by washing COCs after 18 h of maturation and placing them in fresh medium containing MG132.\nExperiment 4 was conducted to determine whether timing of MG132 treatment altered effects of the inhibitor on embryonic development. COCs were untreated or treated with 10 μM MG132 at two times [0–6 h of maturation (during the initiation of maturation) or 18–24 h of maturation (at the end of maturation)] using a 2 × 2 factorial arrangement of treatments. The COCs were placed in appropriate treatments at 0 h (MG132), washed at 6 h, placed in fresh IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) without MG132, washed at 18 h of maturation, and placed in fresh medium with appropriate treatment. Thus, some cultures received MG132 at 0–6 h and 18–24 h, some received MG132 from 0–6 h only, some received MG132 from 18–24 h only, and some did not receive MG132 treatment during in vitro maturation.", "Data were analyzed statistically as follows. For each replicate, percentage of oocytes that cleaved and percentage of cleaved embryos that became blastocysts were calculated for all oocytes or embryos within the same treatment. Thus, the group of oocytes treated alike within each replicate was the experimental unit. Statistical analyses were performed using the Statistical Analysis System (version 9.2, SAS Institute Inc., Cary, NC, USA). Data were analyzed using the General Linear Models procedure. Percentage data were arcsine- transformed prior to analysis to maintain homogeneity of variance. Results are expressed as least-squares means ± standard error (SE) of the untransformed data.", "Effects of FSH and LH concentration in IVM medium on subsequent embryonic development of the yak were shown in Table 1. The optimal concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH, i.e. both the cleavage rate and the blastocyst rate were the highest at this condition. There was a tendency for high LH concentration (100 IU/ml) in IVM medium to decrease the subsequent cleavage rate.\nEffects of FSH and LH concentration in IVM medium on yak embryonic development\nThree to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05).", "FSHR and LHR mRNA expressions of cumulus cells in media supplemented with different concentrations of FSH and LH were shown in Figure 1. Both FSHR and LHR mRNA were detected in yak cumulus cells after in vitro maturation, and the greatest expression was observed when the concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH. The cumulus cells had higher numbers of FSH receptors than LH receptors. Addition of FSH in IVM media had a greater effect on increase of these receptors than that of LH.\nEffect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in yak cumulus cells after 24 h IVM as determined by real-time PCR. The experiments were carried out in four replicates. The expression of these mRNAs was normalized to the expression of GAPDH measured in the same RNA preparation. Results were expressed as the mean ± SD.", "Results for COCs treated from 18 to 24 h of maturation with 0, 10, 20 or 30 μM MG132 are shown in Table 2. Treatment of COCs with 10 μM MG132 in IVM medium increased (P < 0.05) the percentage of cleaved embryos (i.e., that were ≥2 cells) becoming blastocysts. There was, however, no effect of 10 μM MG132 on the cleavage rate. Treatment with 20 μM MG132 had no effect on the cleavage rate and the percentage of cleaved embryos becoming blastocysts. However, treatment with 30 μM MG132 had negative effect on subsequent development.\nConcentration-dependent effects of MG132 added from 18–24 h of maturation on yak embryonic development\nThree to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05).", "Results are in Table 3. Addition of MG132 from 0–6 h of maturation reduced fertilization rate regardless of whether MG132 was also added at 18–24 h of maturation (P < 0.05), but treatment of COCs with 10 μM MG132 increased (P < 0.05) the percentage of cleaved embryos becoming blastocysts, as also shown in Experiment 2.\nEffects of timing of MG132 treatment (10 μM) on yak embryonic development\nThree to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05).", "The authors declare that they have no competing interests.", "XX and XDZ carried out all aspects of the study and wrote the manuscript. HRN and XRX participated in some parts of IVF. JCZ, JL, LW and YW participated in the experimental design. All authors read and approved the final manuscript." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Materials", "Oocyte collection and in vitro maturation (IVM)", "Sperm preparation, in vitro fertilization, and embryo culture", "Expression of FSHR and LHR in cumulus cells after in vitro maturation", "Experimental design", "Statistics", "Results", "The optimal concentration of FSH and LH in IVM medium (Experiment 1)", "Effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in cumulus cells (Experiment 2)", "Concentration-dependent effect of MG132 from 18–24 h of maturation on subsequent embryonic development (Experiment 3)", "Fertilization rates of oocytes treated with MG132 from 0–6 or 18–24 h of maturation (Experiment 4)", "Discussion", "Conclusions", "Competing interests", "Authors’ contributions" ]
[ "In most mammals, throughout follicular development, the oocytes undergo a series of profound changes involving both nuclear and cytoplasmic maturation induced by the pre-ovulatory surge of gonadotropins during this period [1]. These changes are essential for the formation of oocytes having the capacity for fertilization and embryonic development. Therefore, in vitro culture systems of most species often occur in in vitro maturation (IVM) media supplemented with gonadotrophins such as FSH and LH to induce cumulus cell expansion, nuclear maturation, cytoplasmic maturation, and to improve embryonic development in mice [2,3], pig [4], cow [5], equine [6] and domestic dog [7]. For gonadotrophins to act in vitro, FSH and LH receptor (FSHR and LHR) proteins and mRNA must be expressed by the cumulus cell [8]. The proteasome, a multisubunit proteolytic complex involved in degradation of ubiquitinated proteins, plays a crucial role in assuring completion of meiosis and early in maturation of oocyte, however, late in the process of oocyte maturation, the proteasome may contribute to a reduction in the functional properties of the oocyte. Treatment with the proteasome inhibitor MG132 reduced the effect of in vitro aging on oocyte competence in the mouse [9]. Furthermore, treatment of oocytes with MG132 late in maturation increased abundance of specific transcripts and improved developmental competence of parthenogenetically-activated oocytes in the pig [10] and in vitro matured oocytes in cattle [11].\nThe yak (Bos grunniens) is the principal meat and dairy animal in Qinghai-Tibet plateau, because few other animals survive in these areas [12]. In vitro production (IVP) of embryos is a well-established embryonic biotechnology with a variety of application in basic and applied sciences. IVP has been made great progress in cattle which is becoming one of the most exciting and progressive procedures available for today’s producers but the efficiency of yak IVP is still low, i.e. less than 10% of cleaved embryos (i.e., that were ≥2 cells) becoming blastocysts [13,14]. Therefore, this study was performed to investigate the effect of FSH, LH and MG132 during oocytes maturation on competence for development after fertilization in the yak.", " Materials Dulbecco’s phosphate-buffered saline (DPBS) was purchased from Hyclone Laboratories Inc. (Logan, UT), FSH from Bioniche Inc. (Belleville, Ontario, Canada) and fetal calf serum (FCS) from Gibco (Grand Island, NY). All other chemicals and reagents were cell-culture tested and were obtained from Sigma-Aldrich (St. Louis, MO). Synthetic oviductal fluid (SOF) medium was prepared according to the formula of Tervit et al.[15] minus glucose. All media were filtered through 0.2 μm Millipore filter (Carrigtwohill, Co. Cork, Ireland) and placed in an incubator (Forma Serial II, USA) to equilibrate for four to six hours in an atmosphere of 5% CO2 in air.\nDulbecco’s phosphate-buffered saline (DPBS) was purchased from Hyclone Laboratories Inc. (Logan, UT), FSH from Bioniche Inc. (Belleville, Ontario, Canada) and fetal calf serum (FCS) from Gibco (Grand Island, NY). All other chemicals and reagents were cell-culture tested and were obtained from Sigma-Aldrich (St. Louis, MO). Synthetic oviductal fluid (SOF) medium was prepared according to the formula of Tervit et al.[15] minus glucose. All media were filtered through 0.2 μm Millipore filter (Carrigtwohill, Co. Cork, Ireland) and placed in an incubator (Forma Serial II, USA) to equilibrate for four to six hours in an atmosphere of 5% CO2 in air.\n Oocyte collection and in vitro maturation (IVM) Collection and IVM of yak oocytes were performed in accordance with the method of Zi et al. [13,16]. Briefly, ovaries were collected from yaks at local abattoir from October to December, and transported to the laboratory in DPBS maintained at 29–33°C. Cumulus-oocyte complexes (COCs) were aspirated from follicles (2–8 mm diameter) using a hand-held 10-ml syringe connected to an 18 ga needle. COCs were collected in DPBS supplemented with 6 mg/ml BSA under a low-power (20×) stereomicroscope. Unselected COCs were rinsed three times in DPBS containing 5% (v/v) FCS and twice in TCM 199 supplemented with 20% (v/v) FCS, 1 μg/ml estradiol-17β, 100 U/ml penicillin and 100 μg/ml streptomycin, different concentrations of FSH and LH according to the experimental design (IVM medium). Only COCs having one or more layers of cumulus cells and evenly granulated ooplasm were selected. Up to 30 COCs were placed in each culture well (Nunc Inc., Naperville IL, USA) containing 600 μl of maturation medium covered with 300 μl mineral oil. COCs were allowed to mature for approximately 24 h at 38.6°C in an atmosphere of 5% CO2 in humidified air.\nCollection and IVM of yak oocytes were performed in accordance with the method of Zi et al. [13,16]. Briefly, ovaries were collected from yaks at local abattoir from October to December, and transported to the laboratory in DPBS maintained at 29–33°C. Cumulus-oocyte complexes (COCs) were aspirated from follicles (2–8 mm diameter) using a hand-held 10-ml syringe connected to an 18 ga needle. COCs were collected in DPBS supplemented with 6 mg/ml BSA under a low-power (20×) stereomicroscope. Unselected COCs were rinsed three times in DPBS containing 5% (v/v) FCS and twice in TCM 199 supplemented with 20% (v/v) FCS, 1 μg/ml estradiol-17β, 100 U/ml penicillin and 100 μg/ml streptomycin, different concentrations of FSH and LH according to the experimental design (IVM medium). Only COCs having one or more layers of cumulus cells and evenly granulated ooplasm were selected. Up to 30 COCs were placed in each culture well (Nunc Inc., Naperville IL, USA) containing 600 μl of maturation medium covered with 300 μl mineral oil. COCs were allowed to mature for approximately 24 h at 38.6°C in an atmosphere of 5% CO2 in humidified air.\n Sperm preparation, in vitro fertilization, and embryo culture Sperm preparation and IVF were conducted according to previously described procedures [13,16] with some modifications. Frozen semen was thawed and washed by centrifugation through a Percoll gradient (30%/45%) containing Hepes-buffered SOF medium supplemented with 5 mg/ml BSA, 50 μg/ml caffeine, 30 μg/ml glutathione and 20 μg/ml heparin (sperm medium) and centrifuged at 500 × g for 10 min to separate motile sperm. After centrifugation, 120 μl of the concentrated sperm fraction was removed and placed into 200 μl of sperm medium and incubated at 38.6°C for 15 min.\nAfter oocyte maturation, excess cummulus cells were removed by gently swirling the COCs in a 36 mm Petri dish containing SOF with 6 mg/ml BSA (IVF medium). The COCs were further washed twice in IVF medium before being transferred into four-well plates (up to 30 per well) containing 500 μl IVF medium covered with 300 μl mineral oil per well. Each well received 50 μl of the sperm suspension (for a final concentration of 1 × 106 motile sperm/ml). Oocytes and sperm were allowed to coincubate for 24–26 h at 38.6°C in an atmosphere of 5% CO2 in humidified air. Remnant cumulus cells were removed from the putative zygotes by gentle pipetting after approximately 26 h of coincubation. The putative zygotes were then washed three times in SOF medium. Groups of 25 embryos were cultured in 600 μl of SOF medium supplemented with 6 mg/ml BSA, 0.5 mg/ml myoinositol, 3% (v/v) essential amino acids, 1% (v/v) nonessential amino acids, 100 U/ml penicillin, 100 μg/ml streptomycin and 100 μg/ml L-glutamine (culture medium) under 300 μl mineral oil, cultured in a humidified atmosphere of 5% CO2, 5% O2, and 90% N2 at 38.5°C. The number of zygotes that cleaved was recorded 48 h post insemination (hpi). The culture medium was changed at 96 hpi and blastocyst development was determined on Days 7 to 9 post insemination (Day 0 = insemination). This experiment was replicated three to five times for each group.\nSperm preparation and IVF were conducted according to previously described procedures [13,16] with some modifications. Frozen semen was thawed and washed by centrifugation through a Percoll gradient (30%/45%) containing Hepes-buffered SOF medium supplemented with 5 mg/ml BSA, 50 μg/ml caffeine, 30 μg/ml glutathione and 20 μg/ml heparin (sperm medium) and centrifuged at 500 × g for 10 min to separate motile sperm. After centrifugation, 120 μl of the concentrated sperm fraction was removed and placed into 200 μl of sperm medium and incubated at 38.6°C for 15 min.\nAfter oocyte maturation, excess cummulus cells were removed by gently swirling the COCs in a 36 mm Petri dish containing SOF with 6 mg/ml BSA (IVF medium). The COCs were further washed twice in IVF medium before being transferred into four-well plates (up to 30 per well) containing 500 μl IVF medium covered with 300 μl mineral oil per well. Each well received 50 μl of the sperm suspension (for a final concentration of 1 × 106 motile sperm/ml). Oocytes and sperm were allowed to coincubate for 24–26 h at 38.6°C in an atmosphere of 5% CO2 in humidified air. Remnant cumulus cells were removed from the putative zygotes by gentle pipetting after approximately 26 h of coincubation. The putative zygotes were then washed three times in SOF medium. Groups of 25 embryos were cultured in 600 μl of SOF medium supplemented with 6 mg/ml BSA, 0.5 mg/ml myoinositol, 3% (v/v) essential amino acids, 1% (v/v) nonessential amino acids, 100 U/ml penicillin, 100 μg/ml streptomycin and 100 μg/ml L-glutamine (culture medium) under 300 μl mineral oil, cultured in a humidified atmosphere of 5% CO2, 5% O2, and 90% N2 at 38.5°C. The number of zygotes that cleaved was recorded 48 h post insemination (hpi). The culture medium was changed at 96 hpi and blastocyst development was determined on Days 7 to 9 post insemination (Day 0 = insemination). This experiment was replicated three to five times for each group.\n Expression of FSHR and LHR in cumulus cells after in vitro maturation GAPDH gene was chosen as reference gene for normalizing expression levels of target genes. Primers specific for target goat genes were designed with Beacon Designer 7.0 software (Premier Biosoft International, Palo Alto, CA USA) according to manufacturers guidelines (FSHR: 5'-TTCAATGGGACAACGCTGATTTC-3'/5'-TGTGGCAATTAGCGTCTGAATG GA-3'; LHR: 5'-AGTGACACCAAGATAGCCAAGC-3/5-GGTAGAACAGGACCAGGAGG AT-3'; GAPDH: 5'-AGTTCCACGGCACAGTCAAG-3'/5'-ACTCAGCACCAGCATCACC- 3'). Total RNA of cumulus cells after in vitro maturation (different concentrations of FSH and LH in IVM medium) was extracted, and reverse transcribed as described previously [17]. Real-time PCR was performed using on an iCycler iQ5 Real-time Detection System (Bio-Rad, CA, USA) with the SsoFast™ EvaGreen Supermix (Bio-Rad, CA, USA) in a volume of 10 μl. The cycle parameters were 3 min at 95°C, followed by 45 cycles of denaturation at 95°C for 10 s and annealing at 60.7°C (FSHR), 58.9°C (LHR) or 57.7°C (GAPDH) for 10 s, and finally, melt curve analysis. The real-time PCR amplification efficiency (E) of each primer pair and mean Ct (threshold cycles) values were calculated and used for determination of target gene RNA transcript levels [18], which includes a correction for differences in E between the target and housekeeping gene. Results were expressed, however, as relative expression ratios (RE) rather than as fold changes from a calibrator sample. The formula, therefore, was as RE = (1 + E ref)\nCt ref\n/(1 + E target)\nCt target\n. Each sample was tested in triplicate, and each experiment was replicated four times with cumulus cells from 30–50 COCs for each replicate.\nGAPDH gene was chosen as reference gene for normalizing expression levels of target genes. Primers specific for target goat genes were designed with Beacon Designer 7.0 software (Premier Biosoft International, Palo Alto, CA USA) according to manufacturers guidelines (FSHR: 5'-TTCAATGGGACAACGCTGATTTC-3'/5'-TGTGGCAATTAGCGTCTGAATG GA-3'; LHR: 5'-AGTGACACCAAGATAGCCAAGC-3/5-GGTAGAACAGGACCAGGAGG AT-3'; GAPDH: 5'-AGTTCCACGGCACAGTCAAG-3'/5'-ACTCAGCACCAGCATCACC- 3'). Total RNA of cumulus cells after in vitro maturation (different concentrations of FSH and LH in IVM medium) was extracted, and reverse transcribed as described previously [17]. Real-time PCR was performed using on an iCycler iQ5 Real-time Detection System (Bio-Rad, CA, USA) with the SsoFast™ EvaGreen Supermix (Bio-Rad, CA, USA) in a volume of 10 μl. The cycle parameters were 3 min at 95°C, followed by 45 cycles of denaturation at 95°C for 10 s and annealing at 60.7°C (FSHR), 58.9°C (LHR) or 57.7°C (GAPDH) for 10 s, and finally, melt curve analysis. The real-time PCR amplification efficiency (E) of each primer pair and mean Ct (threshold cycles) values were calculated and used for determination of target gene RNA transcript levels [18], which includes a correction for differences in E between the target and housekeeping gene. Results were expressed, however, as relative expression ratios (RE) rather than as fold changes from a calibrator sample. The formula, therefore, was as RE = (1 + E ref)\nCt ref\n/(1 + E target)\nCt target\n. Each sample was tested in triplicate, and each experiment was replicated four times with cumulus cells from 30–50 COCs for each replicate.\n Experimental design Experiment 1 was conducted to investigate the optimal concentration of FSH and LH in IVM medium to improve yak oocyte competence for development after fertilization. COCs were matured in IVM medium that was supplemented with different combinations of LH (50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml).\nExperiment 2 was conducted to investigate the effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in cumulus cells after 24 h IVM. COCs were matured in IVM medium that was supplemented with different combinations of LH (0, 50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml). Cumulus cells were collected at the end of IVM for each combination to determine FSHR and LHR mRNA expression.\nExperiment 3 was conducted to investigate the concentration-dependent effects of MG132 added at the end of oocyte maturation on embryonic development. The MG132 was dissolved in dimethyl sulfoxide (DMSO) and was added to maturation drops so that the final concentration of DMSO was not greater than 0.5% (v/v). The control oocytes were cultured with medium supplemented with a similar amount of DMSO during IVM as for oocytes treated with MG132. COCs were matured in IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) that was supplemented with 0, 10, 20 or 30 μM MG132 from 18 h to 24 h after initiation of maturation. Treatment was achieved by washing COCs after 18 h of maturation and placing them in fresh medium containing MG132.\nExperiment 4 was conducted to determine whether timing of MG132 treatment altered effects of the inhibitor on embryonic development. COCs were untreated or treated with 10 μM MG132 at two times [0–6 h of maturation (during the initiation of maturation) or 18–24 h of maturation (at the end of maturation)] using a 2 × 2 factorial arrangement of treatments. The COCs were placed in appropriate treatments at 0 h (MG132), washed at 6 h, placed in fresh IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) without MG132, washed at 18 h of maturation, and placed in fresh medium with appropriate treatment. Thus, some cultures received MG132 at 0–6 h and 18–24 h, some received MG132 from 0–6 h only, some received MG132 from 18–24 h only, and some did not receive MG132 treatment during in vitro maturation.\nExperiment 1 was conducted to investigate the optimal concentration of FSH and LH in IVM medium to improve yak oocyte competence for development after fertilization. COCs were matured in IVM medium that was supplemented with different combinations of LH (50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml).\nExperiment 2 was conducted to investigate the effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in cumulus cells after 24 h IVM. COCs were matured in IVM medium that was supplemented with different combinations of LH (0, 50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml). Cumulus cells were collected at the end of IVM for each combination to determine FSHR and LHR mRNA expression.\nExperiment 3 was conducted to investigate the concentration-dependent effects of MG132 added at the end of oocyte maturation on embryonic development. The MG132 was dissolved in dimethyl sulfoxide (DMSO) and was added to maturation drops so that the final concentration of DMSO was not greater than 0.5% (v/v). The control oocytes were cultured with medium supplemented with a similar amount of DMSO during IVM as for oocytes treated with MG132. COCs were matured in IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) that was supplemented with 0, 10, 20 or 30 μM MG132 from 18 h to 24 h after initiation of maturation. Treatment was achieved by washing COCs after 18 h of maturation and placing them in fresh medium containing MG132.\nExperiment 4 was conducted to determine whether timing of MG132 treatment altered effects of the inhibitor on embryonic development. COCs were untreated or treated with 10 μM MG132 at two times [0–6 h of maturation (during the initiation of maturation) or 18–24 h of maturation (at the end of maturation)] using a 2 × 2 factorial arrangement of treatments. The COCs were placed in appropriate treatments at 0 h (MG132), washed at 6 h, placed in fresh IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) without MG132, washed at 18 h of maturation, and placed in fresh medium with appropriate treatment. Thus, some cultures received MG132 at 0–6 h and 18–24 h, some received MG132 from 0–6 h only, some received MG132 from 18–24 h only, and some did not receive MG132 treatment during in vitro maturation.\n Statistics Data were analyzed statistically as follows. For each replicate, percentage of oocytes that cleaved and percentage of cleaved embryos that became blastocysts were calculated for all oocytes or embryos within the same treatment. Thus, the group of oocytes treated alike within each replicate was the experimental unit. Statistical analyses were performed using the Statistical Analysis System (version 9.2, SAS Institute Inc., Cary, NC, USA). Data were analyzed using the General Linear Models procedure. Percentage data were arcsine- transformed prior to analysis to maintain homogeneity of variance. Results are expressed as least-squares means ± standard error (SE) of the untransformed data.\nData were analyzed statistically as follows. For each replicate, percentage of oocytes that cleaved and percentage of cleaved embryos that became blastocysts were calculated for all oocytes or embryos within the same treatment. Thus, the group of oocytes treated alike within each replicate was the experimental unit. Statistical analyses were performed using the Statistical Analysis System (version 9.2, SAS Institute Inc., Cary, NC, USA). Data were analyzed using the General Linear Models procedure. Percentage data were arcsine- transformed prior to analysis to maintain homogeneity of variance. Results are expressed as least-squares means ± standard error (SE) of the untransformed data.", "Dulbecco’s phosphate-buffered saline (DPBS) was purchased from Hyclone Laboratories Inc. (Logan, UT), FSH from Bioniche Inc. (Belleville, Ontario, Canada) and fetal calf serum (FCS) from Gibco (Grand Island, NY). All other chemicals and reagents were cell-culture tested and were obtained from Sigma-Aldrich (St. Louis, MO). Synthetic oviductal fluid (SOF) medium was prepared according to the formula of Tervit et al.[15] minus glucose. All media were filtered through 0.2 μm Millipore filter (Carrigtwohill, Co. Cork, Ireland) and placed in an incubator (Forma Serial II, USA) to equilibrate for four to six hours in an atmosphere of 5% CO2 in air.", "Collection and IVM of yak oocytes were performed in accordance with the method of Zi et al. [13,16]. Briefly, ovaries were collected from yaks at local abattoir from October to December, and transported to the laboratory in DPBS maintained at 29–33°C. Cumulus-oocyte complexes (COCs) were aspirated from follicles (2–8 mm diameter) using a hand-held 10-ml syringe connected to an 18 ga needle. COCs were collected in DPBS supplemented with 6 mg/ml BSA under a low-power (20×) stereomicroscope. Unselected COCs were rinsed three times in DPBS containing 5% (v/v) FCS and twice in TCM 199 supplemented with 20% (v/v) FCS, 1 μg/ml estradiol-17β, 100 U/ml penicillin and 100 μg/ml streptomycin, different concentrations of FSH and LH according to the experimental design (IVM medium). Only COCs having one or more layers of cumulus cells and evenly granulated ooplasm were selected. Up to 30 COCs were placed in each culture well (Nunc Inc., Naperville IL, USA) containing 600 μl of maturation medium covered with 300 μl mineral oil. COCs were allowed to mature for approximately 24 h at 38.6°C in an atmosphere of 5% CO2 in humidified air.", "Sperm preparation and IVF were conducted according to previously described procedures [13,16] with some modifications. Frozen semen was thawed and washed by centrifugation through a Percoll gradient (30%/45%) containing Hepes-buffered SOF medium supplemented with 5 mg/ml BSA, 50 μg/ml caffeine, 30 μg/ml glutathione and 20 μg/ml heparin (sperm medium) and centrifuged at 500 × g for 10 min to separate motile sperm. After centrifugation, 120 μl of the concentrated sperm fraction was removed and placed into 200 μl of sperm medium and incubated at 38.6°C for 15 min.\nAfter oocyte maturation, excess cummulus cells were removed by gently swirling the COCs in a 36 mm Petri dish containing SOF with 6 mg/ml BSA (IVF medium). The COCs were further washed twice in IVF medium before being transferred into four-well plates (up to 30 per well) containing 500 μl IVF medium covered with 300 μl mineral oil per well. Each well received 50 μl of the sperm suspension (for a final concentration of 1 × 106 motile sperm/ml). Oocytes and sperm were allowed to coincubate for 24–26 h at 38.6°C in an atmosphere of 5% CO2 in humidified air. Remnant cumulus cells were removed from the putative zygotes by gentle pipetting after approximately 26 h of coincubation. The putative zygotes were then washed three times in SOF medium. Groups of 25 embryos were cultured in 600 μl of SOF medium supplemented with 6 mg/ml BSA, 0.5 mg/ml myoinositol, 3% (v/v) essential amino acids, 1% (v/v) nonessential amino acids, 100 U/ml penicillin, 100 μg/ml streptomycin and 100 μg/ml L-glutamine (culture medium) under 300 μl mineral oil, cultured in a humidified atmosphere of 5% CO2, 5% O2, and 90% N2 at 38.5°C. The number of zygotes that cleaved was recorded 48 h post insemination (hpi). The culture medium was changed at 96 hpi and blastocyst development was determined on Days 7 to 9 post insemination (Day 0 = insemination). This experiment was replicated three to five times for each group.", "GAPDH gene was chosen as reference gene for normalizing expression levels of target genes. Primers specific for target goat genes were designed with Beacon Designer 7.0 software (Premier Biosoft International, Palo Alto, CA USA) according to manufacturers guidelines (FSHR: 5'-TTCAATGGGACAACGCTGATTTC-3'/5'-TGTGGCAATTAGCGTCTGAATG GA-3'; LHR: 5'-AGTGACACCAAGATAGCCAAGC-3/5-GGTAGAACAGGACCAGGAGG AT-3'; GAPDH: 5'-AGTTCCACGGCACAGTCAAG-3'/5'-ACTCAGCACCAGCATCACC- 3'). Total RNA of cumulus cells after in vitro maturation (different concentrations of FSH and LH in IVM medium) was extracted, and reverse transcribed as described previously [17]. Real-time PCR was performed using on an iCycler iQ5 Real-time Detection System (Bio-Rad, CA, USA) with the SsoFast™ EvaGreen Supermix (Bio-Rad, CA, USA) in a volume of 10 μl. The cycle parameters were 3 min at 95°C, followed by 45 cycles of denaturation at 95°C for 10 s and annealing at 60.7°C (FSHR), 58.9°C (LHR) or 57.7°C (GAPDH) for 10 s, and finally, melt curve analysis. The real-time PCR amplification efficiency (E) of each primer pair and mean Ct (threshold cycles) values were calculated and used for determination of target gene RNA transcript levels [18], which includes a correction for differences in E between the target and housekeeping gene. Results were expressed, however, as relative expression ratios (RE) rather than as fold changes from a calibrator sample. The formula, therefore, was as RE = (1 + E ref)\nCt ref\n/(1 + E target)\nCt target\n. Each sample was tested in triplicate, and each experiment was replicated four times with cumulus cells from 30–50 COCs for each replicate.", "Experiment 1 was conducted to investigate the optimal concentration of FSH and LH in IVM medium to improve yak oocyte competence for development after fertilization. COCs were matured in IVM medium that was supplemented with different combinations of LH (50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml).\nExperiment 2 was conducted to investigate the effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in cumulus cells after 24 h IVM. COCs were matured in IVM medium that was supplemented with different combinations of LH (0, 50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml). Cumulus cells were collected at the end of IVM for each combination to determine FSHR and LHR mRNA expression.\nExperiment 3 was conducted to investigate the concentration-dependent effects of MG132 added at the end of oocyte maturation on embryonic development. The MG132 was dissolved in dimethyl sulfoxide (DMSO) and was added to maturation drops so that the final concentration of DMSO was not greater than 0.5% (v/v). The control oocytes were cultured with medium supplemented with a similar amount of DMSO during IVM as for oocytes treated with MG132. COCs were matured in IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) that was supplemented with 0, 10, 20 or 30 μM MG132 from 18 h to 24 h after initiation of maturation. Treatment was achieved by washing COCs after 18 h of maturation and placing them in fresh medium containing MG132.\nExperiment 4 was conducted to determine whether timing of MG132 treatment altered effects of the inhibitor on embryonic development. COCs were untreated or treated with 10 μM MG132 at two times [0–6 h of maturation (during the initiation of maturation) or 18–24 h of maturation (at the end of maturation)] using a 2 × 2 factorial arrangement of treatments. The COCs were placed in appropriate treatments at 0 h (MG132), washed at 6 h, placed in fresh IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) without MG132, washed at 18 h of maturation, and placed in fresh medium with appropriate treatment. Thus, some cultures received MG132 at 0–6 h and 18–24 h, some received MG132 from 0–6 h only, some received MG132 from 18–24 h only, and some did not receive MG132 treatment during in vitro maturation.", "Data were analyzed statistically as follows. For each replicate, percentage of oocytes that cleaved and percentage of cleaved embryos that became blastocysts were calculated for all oocytes or embryos within the same treatment. Thus, the group of oocytes treated alike within each replicate was the experimental unit. Statistical analyses were performed using the Statistical Analysis System (version 9.2, SAS Institute Inc., Cary, NC, USA). Data were analyzed using the General Linear Models procedure. Percentage data were arcsine- transformed prior to analysis to maintain homogeneity of variance. Results are expressed as least-squares means ± standard error (SE) of the untransformed data.", " The optimal concentration of FSH and LH in IVM medium (Experiment 1) Effects of FSH and LH concentration in IVM medium on subsequent embryonic development of the yak were shown in Table 1. The optimal concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH, i.e. both the cleavage rate and the blastocyst rate were the highest at this condition. There was a tendency for high LH concentration (100 IU/ml) in IVM medium to decrease the subsequent cleavage rate.\nEffects of FSH and LH concentration in IVM medium on yak embryonic development\nThree to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05).\nEffects of FSH and LH concentration in IVM medium on subsequent embryonic development of the yak were shown in Table 1. The optimal concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH, i.e. both the cleavage rate and the blastocyst rate were the highest at this condition. There was a tendency for high LH concentration (100 IU/ml) in IVM medium to decrease the subsequent cleavage rate.\nEffects of FSH and LH concentration in IVM medium on yak embryonic development\nThree to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05).\n Effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in cumulus cells (Experiment 2) FSHR and LHR mRNA expressions of cumulus cells in media supplemented with different concentrations of FSH and LH were shown in Figure 1. Both FSHR and LHR mRNA were detected in yak cumulus cells after in vitro maturation, and the greatest expression was observed when the concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH. The cumulus cells had higher numbers of FSH receptors than LH receptors. Addition of FSH in IVM media had a greater effect on increase of these receptors than that of LH.\nEffect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in yak cumulus cells after 24 h IVM as determined by real-time PCR. The experiments were carried out in four replicates. The expression of these mRNAs was normalized to the expression of GAPDH measured in the same RNA preparation. Results were expressed as the mean ± SD.\nFSHR and LHR mRNA expressions of cumulus cells in media supplemented with different concentrations of FSH and LH were shown in Figure 1. Both FSHR and LHR mRNA were detected in yak cumulus cells after in vitro maturation, and the greatest expression was observed when the concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH. The cumulus cells had higher numbers of FSH receptors than LH receptors. Addition of FSH in IVM media had a greater effect on increase of these receptors than that of LH.\nEffect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in yak cumulus cells after 24 h IVM as determined by real-time PCR. The experiments were carried out in four replicates. The expression of these mRNAs was normalized to the expression of GAPDH measured in the same RNA preparation. Results were expressed as the mean ± SD.\n Concentration-dependent effect of MG132 from 18–24 h of maturation on subsequent embryonic development (Experiment 3) Results for COCs treated from 18 to 24 h of maturation with 0, 10, 20 or 30 μM MG132 are shown in Table 2. Treatment of COCs with 10 μM MG132 in IVM medium increased (P < 0.05) the percentage of cleaved embryos (i.e., that were ≥2 cells) becoming blastocysts. There was, however, no effect of 10 μM MG132 on the cleavage rate. Treatment with 20 μM MG132 had no effect on the cleavage rate and the percentage of cleaved embryos becoming blastocysts. However, treatment with 30 μM MG132 had negative effect on subsequent development.\nConcentration-dependent effects of MG132 added from 18–24 h of maturation on yak embryonic development\nThree to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05).\nResults for COCs treated from 18 to 24 h of maturation with 0, 10, 20 or 30 μM MG132 are shown in Table 2. Treatment of COCs with 10 μM MG132 in IVM medium increased (P < 0.05) the percentage of cleaved embryos (i.e., that were ≥2 cells) becoming blastocysts. There was, however, no effect of 10 μM MG132 on the cleavage rate. Treatment with 20 μM MG132 had no effect on the cleavage rate and the percentage of cleaved embryos becoming blastocysts. However, treatment with 30 μM MG132 had negative effect on subsequent development.\nConcentration-dependent effects of MG132 added from 18–24 h of maturation on yak embryonic development\nThree to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05).\n Fertilization rates of oocytes treated with MG132 from 0–6 or 18–24 h of maturation (Experiment 4) Results are in Table 3. Addition of MG132 from 0–6 h of maturation reduced fertilization rate regardless of whether MG132 was also added at 18–24 h of maturation (P < 0.05), but treatment of COCs with 10 μM MG132 increased (P < 0.05) the percentage of cleaved embryos becoming blastocysts, as also shown in Experiment 2.\nEffects of timing of MG132 treatment (10 μM) on yak embryonic development\nThree to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05).\nResults are in Table 3. Addition of MG132 from 0–6 h of maturation reduced fertilization rate regardless of whether MG132 was also added at 18–24 h of maturation (P < 0.05), but treatment of COCs with 10 μM MG132 increased (P < 0.05) the percentage of cleaved embryos becoming blastocysts, as also shown in Experiment 2.\nEffects of timing of MG132 treatment (10 μM) on yak embryonic development\nThree to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05).", "Effects of FSH and LH concentration in IVM medium on subsequent embryonic development of the yak were shown in Table 1. The optimal concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH, i.e. both the cleavage rate and the blastocyst rate were the highest at this condition. There was a tendency for high LH concentration (100 IU/ml) in IVM medium to decrease the subsequent cleavage rate.\nEffects of FSH and LH concentration in IVM medium on yak embryonic development\nThree to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05).", "FSHR and LHR mRNA expressions of cumulus cells in media supplemented with different concentrations of FSH and LH were shown in Figure 1. Both FSHR and LHR mRNA were detected in yak cumulus cells after in vitro maturation, and the greatest expression was observed when the concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH. The cumulus cells had higher numbers of FSH receptors than LH receptors. Addition of FSH in IVM media had a greater effect on increase of these receptors than that of LH.\nEffect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in yak cumulus cells after 24 h IVM as determined by real-time PCR. The experiments were carried out in four replicates. The expression of these mRNAs was normalized to the expression of GAPDH measured in the same RNA preparation. Results were expressed as the mean ± SD.", "Results for COCs treated from 18 to 24 h of maturation with 0, 10, 20 or 30 μM MG132 are shown in Table 2. Treatment of COCs with 10 μM MG132 in IVM medium increased (P < 0.05) the percentage of cleaved embryos (i.e., that were ≥2 cells) becoming blastocysts. There was, however, no effect of 10 μM MG132 on the cleavage rate. Treatment with 20 μM MG132 had no effect on the cleavage rate and the percentage of cleaved embryos becoming blastocysts. However, treatment with 30 μM MG132 had negative effect on subsequent development.\nConcentration-dependent effects of MG132 added from 18–24 h of maturation on yak embryonic development\nThree to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05).", "Results are in Table 3. Addition of MG132 from 0–6 h of maturation reduced fertilization rate regardless of whether MG132 was also added at 18–24 h of maturation (P < 0.05), but treatment of COCs with 10 μM MG132 increased (P < 0.05) the percentage of cleaved embryos becoming blastocysts, as also shown in Experiment 2.\nEffects of timing of MG132 treatment (10 μM) on yak embryonic development\nThree to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05).", "Yak oocyte competence for fertilization and ability to support embryonic development was affected by additions of FSH, LH and the proteasomal inhibitor MG132 during the maturation process. The optimal concentration of FSH and LH in IVM media was 5 μg/ml FSH and 50 IU/ml LH. The percentage of cleaved embryos becoming blastocysts could be further improved by MG132, but actions of MG132 depended on the time of addition and the concentration. Yak oocyte competence was improved when 10 μM MG132 was added during the last 6 h maturation (from 18–24 h of maturation) and reduced when added during the first 6 h of maturation.\nThe mammalian oocytes are surrounded by several layers of cumulus cells, with the corona cell being closest to the oocyte. FSH and LH stimulate cumulus cell expansion, nuclear maturation, cytoplasmic maturation, and improve embryonic development in mice [2,3], pig [4], cow [5], equine [6] and dog [7]. In previous studies of mice and rats, the cumulus cells had high numbers of FSH receptors, but little or no LH receptors [19-21]. In bovines, it was reported that the FSH receptor and its mRNA were expressed in cumulus cells and granulosa cells, but not the mRNA of the LH receptor [22]. In this study, we observed that an optimal concentration of 5 μg/ml FSH and 50 IU/ml LH in IVM medium increased yak oocyte competence for fertilization and ability to support embryonic development (Table 1), and FSHR and LHR mRNA expressions of cumulus cells. FSH was more effective than LH due to higher FSH receptor levels in cumulus cells of yak oocytes than the levels of the LH receptor. In addition, treatment with FSH in IVM media had greater effect on the increase of FSHR and LHR mRNA expression level than that of LH (Figure 1).\nEarly in maturation, completion of meiosis I requires inactivation of maturation promoting factor (MPF) through a process mediated by proteasomal cleavage of ubiquitinated cyclin B1 [23]. In bovine, MG132 treatment from 0–6 h of maturation has been reported to increase the proportion of oocytes that were at metaphase I and decrease the number of oocytes that reached metaphase II at the end of maturation [11]. Therefore, inhibition of meiosis is likely a major cause for reduced oocyte competence in bovine oocytes. Inhibition of other proteasome-mediated events early in maturation may also be involved in reduced oocyte competence. For example, in the pig, MG132 can affect expression of genes involved in expansion of the extracellular matrix [24]. Similarly, in this study, we also observed that yak oocyte competence for development after fertilization was significantly reduced by addition of MG132 from 0–6 h of maturation (Table 3).\nThe finding that treatment of yak COCs with 10 μM MG132 late in maturation improves the percentage of cleaved embryos becoming blastocysts is consistent with other results showing beneficial effects of MG132 on aged mouse oocytes fertilized by intracytoplasmic sperm injection [9], parthenogenetically activated pig oocytes [10] and IVM bovine oocytes [11]. Beneficial effects of MG132 on nuclear remodeling, transcript abundance and embryonic development have also been shown for embryos constructed by somatic cell nuclear cloning in mammalian species [10,25-28]. Optimal results with MG132 were achieved at a concentration of 10 μM – beneficial effects were generally not observed at lower or higher concentrations (Table 2). Similar effects have been seen in mouse, goat, pig and bovine oocytes used for SCNT [25,29] and IVF [11]. In contrast to the observation by You et al. [11] in bovine oocytes, inhibition of proteasomes late in maturation can not improve the competence of yak oocyte to cleave in the present study (Tables 2 and 3). The mechanism by which MG132 late in maturation improves competence of the oocyte to support development is likely to involve arrest of processes mediated by proteasomes that ordinarily compromise the oocyte. In bovine oocytes, it was found that MG132 at the end of maturation increased relative expression of six proteins and decreased relative expression of 23 that are potentially important for oocyte competence [11].", "An optimal concentration of FSH and LH improves oocytes competence for development after fertilization in yak. Treatment with MG132 early in maturation reduces fertilization rate and the proportion of oocytes and cleaved embryos that became blastocysts. Conversely, inhibition of proteasomes late in maturation can improve oocytes competence for development after fertilization.", "The authors declare that they have no competing interests.", "XX and XDZ carried out all aspects of the study and wrote the manuscript. HRN and XRX participated in some parts of IVF. JCZ, JL, LW and YW participated in the experimental design. All authors read and approved the final manuscript." ]
[ null, "methods", null, null, null, null, null, null, "results", null, null, null, null, "discussion", "conclusions", null, null ]
[ "IVF", "Yak", "FSH", "MG132", "Early development" ]
Background: In most mammals, throughout follicular development, the oocytes undergo a series of profound changes involving both nuclear and cytoplasmic maturation induced by the pre-ovulatory surge of gonadotropins during this period [1]. These changes are essential for the formation of oocytes having the capacity for fertilization and embryonic development. Therefore, in vitro culture systems of most species often occur in in vitro maturation (IVM) media supplemented with gonadotrophins such as FSH and LH to induce cumulus cell expansion, nuclear maturation, cytoplasmic maturation, and to improve embryonic development in mice [2,3], pig [4], cow [5], equine [6] and domestic dog [7]. For gonadotrophins to act in vitro, FSH and LH receptor (FSHR and LHR) proteins and mRNA must be expressed by the cumulus cell [8]. The proteasome, a multisubunit proteolytic complex involved in degradation of ubiquitinated proteins, plays a crucial role in assuring completion of meiosis and early in maturation of oocyte, however, late in the process of oocyte maturation, the proteasome may contribute to a reduction in the functional properties of the oocyte. Treatment with the proteasome inhibitor MG132 reduced the effect of in vitro aging on oocyte competence in the mouse [9]. Furthermore, treatment of oocytes with MG132 late in maturation increased abundance of specific transcripts and improved developmental competence of parthenogenetically-activated oocytes in the pig [10] and in vitro matured oocytes in cattle [11]. The yak (Bos grunniens) is the principal meat and dairy animal in Qinghai-Tibet plateau, because few other animals survive in these areas [12]. In vitro production (IVP) of embryos is a well-established embryonic biotechnology with a variety of application in basic and applied sciences. IVP has been made great progress in cattle which is becoming one of the most exciting and progressive procedures available for today’s producers but the efficiency of yak IVP is still low, i.e. less than 10% of cleaved embryos (i.e., that were ≥2 cells) becoming blastocysts [13,14]. Therefore, this study was performed to investigate the effect of FSH, LH and MG132 during oocytes maturation on competence for development after fertilization in the yak. Methods: Materials Dulbecco’s phosphate-buffered saline (DPBS) was purchased from Hyclone Laboratories Inc. (Logan, UT), FSH from Bioniche Inc. (Belleville, Ontario, Canada) and fetal calf serum (FCS) from Gibco (Grand Island, NY). All other chemicals and reagents were cell-culture tested and were obtained from Sigma-Aldrich (St. Louis, MO). Synthetic oviductal fluid (SOF) medium was prepared according to the formula of Tervit et al.[15] minus glucose. All media were filtered through 0.2 μm Millipore filter (Carrigtwohill, Co. Cork, Ireland) and placed in an incubator (Forma Serial II, USA) to equilibrate for four to six hours in an atmosphere of 5% CO2 in air. Dulbecco’s phosphate-buffered saline (DPBS) was purchased from Hyclone Laboratories Inc. (Logan, UT), FSH from Bioniche Inc. (Belleville, Ontario, Canada) and fetal calf serum (FCS) from Gibco (Grand Island, NY). All other chemicals and reagents were cell-culture tested and were obtained from Sigma-Aldrich (St. Louis, MO). Synthetic oviductal fluid (SOF) medium was prepared according to the formula of Tervit et al.[15] minus glucose. All media were filtered through 0.2 μm Millipore filter (Carrigtwohill, Co. Cork, Ireland) and placed in an incubator (Forma Serial II, USA) to equilibrate for four to six hours in an atmosphere of 5% CO2 in air. Oocyte collection and in vitro maturation (IVM) Collection and IVM of yak oocytes were performed in accordance with the method of Zi et al. [13,16]. Briefly, ovaries were collected from yaks at local abattoir from October to December, and transported to the laboratory in DPBS maintained at 29–33°C. Cumulus-oocyte complexes (COCs) were aspirated from follicles (2–8 mm diameter) using a hand-held 10-ml syringe connected to an 18 ga needle. COCs were collected in DPBS supplemented with 6 mg/ml BSA under a low-power (20×) stereomicroscope. Unselected COCs were rinsed three times in DPBS containing 5% (v/v) FCS and twice in TCM 199 supplemented with 20% (v/v) FCS, 1 μg/ml estradiol-17β, 100 U/ml penicillin and 100 μg/ml streptomycin, different concentrations of FSH and LH according to the experimental design (IVM medium). Only COCs having one or more layers of cumulus cells and evenly granulated ooplasm were selected. Up to 30 COCs were placed in each culture well (Nunc Inc., Naperville IL, USA) containing 600 μl of maturation medium covered with 300 μl mineral oil. COCs were allowed to mature for approximately 24 h at 38.6°C in an atmosphere of 5% CO2 in humidified air. Collection and IVM of yak oocytes were performed in accordance with the method of Zi et al. [13,16]. Briefly, ovaries were collected from yaks at local abattoir from October to December, and transported to the laboratory in DPBS maintained at 29–33°C. Cumulus-oocyte complexes (COCs) were aspirated from follicles (2–8 mm diameter) using a hand-held 10-ml syringe connected to an 18 ga needle. COCs were collected in DPBS supplemented with 6 mg/ml BSA under a low-power (20×) stereomicroscope. Unselected COCs were rinsed three times in DPBS containing 5% (v/v) FCS and twice in TCM 199 supplemented with 20% (v/v) FCS, 1 μg/ml estradiol-17β, 100 U/ml penicillin and 100 μg/ml streptomycin, different concentrations of FSH and LH according to the experimental design (IVM medium). Only COCs having one or more layers of cumulus cells and evenly granulated ooplasm were selected. Up to 30 COCs were placed in each culture well (Nunc Inc., Naperville IL, USA) containing 600 μl of maturation medium covered with 300 μl mineral oil. COCs were allowed to mature for approximately 24 h at 38.6°C in an atmosphere of 5% CO2 in humidified air. Sperm preparation, in vitro fertilization, and embryo culture Sperm preparation and IVF were conducted according to previously described procedures [13,16] with some modifications. Frozen semen was thawed and washed by centrifugation through a Percoll gradient (30%/45%) containing Hepes-buffered SOF medium supplemented with 5 mg/ml BSA, 50 μg/ml caffeine, 30 μg/ml glutathione and 20 μg/ml heparin (sperm medium) and centrifuged at 500 × g for 10 min to separate motile sperm. After centrifugation, 120 μl of the concentrated sperm fraction was removed and placed into 200 μl of sperm medium and incubated at 38.6°C for 15 min. After oocyte maturation, excess cummulus cells were removed by gently swirling the COCs in a 36 mm Petri dish containing SOF with 6 mg/ml BSA (IVF medium). The COCs were further washed twice in IVF medium before being transferred into four-well plates (up to 30 per well) containing 500 μl IVF medium covered with 300 μl mineral oil per well. Each well received 50 μl of the sperm suspension (for a final concentration of 1 × 106 motile sperm/ml). Oocytes and sperm were allowed to coincubate for 24–26 h at 38.6°C in an atmosphere of 5% CO2 in humidified air. Remnant cumulus cells were removed from the putative zygotes by gentle pipetting after approximately 26 h of coincubation. The putative zygotes were then washed three times in SOF medium. Groups of 25 embryos were cultured in 600 μl of SOF medium supplemented with 6 mg/ml BSA, 0.5 mg/ml myoinositol, 3% (v/v) essential amino acids, 1% (v/v) nonessential amino acids, 100 U/ml penicillin, 100 μg/ml streptomycin and 100 μg/ml L-glutamine (culture medium) under 300 μl mineral oil, cultured in a humidified atmosphere of 5% CO2, 5% O2, and 90% N2 at 38.5°C. The number of zygotes that cleaved was recorded 48 h post insemination (hpi). The culture medium was changed at 96 hpi and blastocyst development was determined on Days 7 to 9 post insemination (Day 0 = insemination). This experiment was replicated three to five times for each group. Sperm preparation and IVF were conducted according to previously described procedures [13,16] with some modifications. Frozen semen was thawed and washed by centrifugation through a Percoll gradient (30%/45%) containing Hepes-buffered SOF medium supplemented with 5 mg/ml BSA, 50 μg/ml caffeine, 30 μg/ml glutathione and 20 μg/ml heparin (sperm medium) and centrifuged at 500 × g for 10 min to separate motile sperm. After centrifugation, 120 μl of the concentrated sperm fraction was removed and placed into 200 μl of sperm medium and incubated at 38.6°C for 15 min. After oocyte maturation, excess cummulus cells were removed by gently swirling the COCs in a 36 mm Petri dish containing SOF with 6 mg/ml BSA (IVF medium). The COCs were further washed twice in IVF medium before being transferred into four-well plates (up to 30 per well) containing 500 μl IVF medium covered with 300 μl mineral oil per well. Each well received 50 μl of the sperm suspension (for a final concentration of 1 × 106 motile sperm/ml). Oocytes and sperm were allowed to coincubate for 24–26 h at 38.6°C in an atmosphere of 5% CO2 in humidified air. Remnant cumulus cells were removed from the putative zygotes by gentle pipetting after approximately 26 h of coincubation. The putative zygotes were then washed three times in SOF medium. Groups of 25 embryos were cultured in 600 μl of SOF medium supplemented with 6 mg/ml BSA, 0.5 mg/ml myoinositol, 3% (v/v) essential amino acids, 1% (v/v) nonessential amino acids, 100 U/ml penicillin, 100 μg/ml streptomycin and 100 μg/ml L-glutamine (culture medium) under 300 μl mineral oil, cultured in a humidified atmosphere of 5% CO2, 5% O2, and 90% N2 at 38.5°C. The number of zygotes that cleaved was recorded 48 h post insemination (hpi). The culture medium was changed at 96 hpi and blastocyst development was determined on Days 7 to 9 post insemination (Day 0 = insemination). This experiment was replicated three to five times for each group. Expression of FSHR and LHR in cumulus cells after in vitro maturation GAPDH gene was chosen as reference gene for normalizing expression levels of target genes. Primers specific for target goat genes were designed with Beacon Designer 7.0 software (Premier Biosoft International, Palo Alto, CA USA) according to manufacturers guidelines (FSHR: 5'-TTCAATGGGACAACGCTGATTTC-3'/5'-TGTGGCAATTAGCGTCTGAATG GA-3'; LHR: 5'-AGTGACACCAAGATAGCCAAGC-3/5-GGTAGAACAGGACCAGGAGG AT-3'; GAPDH: 5'-AGTTCCACGGCACAGTCAAG-3'/5'-ACTCAGCACCAGCATCACC- 3'). Total RNA of cumulus cells after in vitro maturation (different concentrations of FSH and LH in IVM medium) was extracted, and reverse transcribed as described previously [17]. Real-time PCR was performed using on an iCycler iQ5 Real-time Detection System (Bio-Rad, CA, USA) with the SsoFast™ EvaGreen Supermix (Bio-Rad, CA, USA) in a volume of 10 μl. The cycle parameters were 3 min at 95°C, followed by 45 cycles of denaturation at 95°C for 10 s and annealing at 60.7°C (FSHR), 58.9°C (LHR) or 57.7°C (GAPDH) for 10 s, and finally, melt curve analysis. The real-time PCR amplification efficiency (E) of each primer pair and mean Ct (threshold cycles) values were calculated and used for determination of target gene RNA transcript levels [18], which includes a correction for differences in E between the target and housekeeping gene. Results were expressed, however, as relative expression ratios (RE) rather than as fold changes from a calibrator sample. The formula, therefore, was as RE = (1 + E ref) Ct ref /(1 + E target) Ct target . Each sample was tested in triplicate, and each experiment was replicated four times with cumulus cells from 30–50 COCs for each replicate. GAPDH gene was chosen as reference gene for normalizing expression levels of target genes. Primers specific for target goat genes were designed with Beacon Designer 7.0 software (Premier Biosoft International, Palo Alto, CA USA) according to manufacturers guidelines (FSHR: 5'-TTCAATGGGACAACGCTGATTTC-3'/5'-TGTGGCAATTAGCGTCTGAATG GA-3'; LHR: 5'-AGTGACACCAAGATAGCCAAGC-3/5-GGTAGAACAGGACCAGGAGG AT-3'; GAPDH: 5'-AGTTCCACGGCACAGTCAAG-3'/5'-ACTCAGCACCAGCATCACC- 3'). Total RNA of cumulus cells after in vitro maturation (different concentrations of FSH and LH in IVM medium) was extracted, and reverse transcribed as described previously [17]. Real-time PCR was performed using on an iCycler iQ5 Real-time Detection System (Bio-Rad, CA, USA) with the SsoFast™ EvaGreen Supermix (Bio-Rad, CA, USA) in a volume of 10 μl. The cycle parameters were 3 min at 95°C, followed by 45 cycles of denaturation at 95°C for 10 s and annealing at 60.7°C (FSHR), 58.9°C (LHR) or 57.7°C (GAPDH) for 10 s, and finally, melt curve analysis. The real-time PCR amplification efficiency (E) of each primer pair and mean Ct (threshold cycles) values were calculated and used for determination of target gene RNA transcript levels [18], which includes a correction for differences in E between the target and housekeeping gene. Results were expressed, however, as relative expression ratios (RE) rather than as fold changes from a calibrator sample. The formula, therefore, was as RE = (1 + E ref) Ct ref /(1 + E target) Ct target . Each sample was tested in triplicate, and each experiment was replicated four times with cumulus cells from 30–50 COCs for each replicate. Experimental design Experiment 1 was conducted to investigate the optimal concentration of FSH and LH in IVM medium to improve yak oocyte competence for development after fertilization. COCs were matured in IVM medium that was supplemented with different combinations of LH (50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml). Experiment 2 was conducted to investigate the effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in cumulus cells after 24 h IVM. COCs were matured in IVM medium that was supplemented with different combinations of LH (0, 50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml). Cumulus cells were collected at the end of IVM for each combination to determine FSHR and LHR mRNA expression. Experiment 3 was conducted to investigate the concentration-dependent effects of MG132 added at the end of oocyte maturation on embryonic development. The MG132 was dissolved in dimethyl sulfoxide (DMSO) and was added to maturation drops so that the final concentration of DMSO was not greater than 0.5% (v/v). The control oocytes were cultured with medium supplemented with a similar amount of DMSO during IVM as for oocytes treated with MG132. COCs were matured in IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) that was supplemented with 0, 10, 20 or 30 μM MG132 from 18 h to 24 h after initiation of maturation. Treatment was achieved by washing COCs after 18 h of maturation and placing them in fresh medium containing MG132. Experiment 4 was conducted to determine whether timing of MG132 treatment altered effects of the inhibitor on embryonic development. COCs were untreated or treated with 10 μM MG132 at two times [0–6 h of maturation (during the initiation of maturation) or 18–24 h of maturation (at the end of maturation)] using a 2 × 2 factorial arrangement of treatments. The COCs were placed in appropriate treatments at 0 h (MG132), washed at 6 h, placed in fresh IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) without MG132, washed at 18 h of maturation, and placed in fresh medium with appropriate treatment. Thus, some cultures received MG132 at 0–6 h and 18–24 h, some received MG132 from 0–6 h only, some received MG132 from 18–24 h only, and some did not receive MG132 treatment during in vitro maturation. Experiment 1 was conducted to investigate the optimal concentration of FSH and LH in IVM medium to improve yak oocyte competence for development after fertilization. COCs were matured in IVM medium that was supplemented with different combinations of LH (50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml). Experiment 2 was conducted to investigate the effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in cumulus cells after 24 h IVM. COCs were matured in IVM medium that was supplemented with different combinations of LH (0, 50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml). Cumulus cells were collected at the end of IVM for each combination to determine FSHR and LHR mRNA expression. Experiment 3 was conducted to investigate the concentration-dependent effects of MG132 added at the end of oocyte maturation on embryonic development. The MG132 was dissolved in dimethyl sulfoxide (DMSO) and was added to maturation drops so that the final concentration of DMSO was not greater than 0.5% (v/v). The control oocytes were cultured with medium supplemented with a similar amount of DMSO during IVM as for oocytes treated with MG132. COCs were matured in IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) that was supplemented with 0, 10, 20 or 30 μM MG132 from 18 h to 24 h after initiation of maturation. Treatment was achieved by washing COCs after 18 h of maturation and placing them in fresh medium containing MG132. Experiment 4 was conducted to determine whether timing of MG132 treatment altered effects of the inhibitor on embryonic development. COCs were untreated or treated with 10 μM MG132 at two times [0–6 h of maturation (during the initiation of maturation) or 18–24 h of maturation (at the end of maturation)] using a 2 × 2 factorial arrangement of treatments. The COCs were placed in appropriate treatments at 0 h (MG132), washed at 6 h, placed in fresh IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) without MG132, washed at 18 h of maturation, and placed in fresh medium with appropriate treatment. Thus, some cultures received MG132 at 0–6 h and 18–24 h, some received MG132 from 0–6 h only, some received MG132 from 18–24 h only, and some did not receive MG132 treatment during in vitro maturation. Statistics Data were analyzed statistically as follows. For each replicate, percentage of oocytes that cleaved and percentage of cleaved embryos that became blastocysts were calculated for all oocytes or embryos within the same treatment. Thus, the group of oocytes treated alike within each replicate was the experimental unit. Statistical analyses were performed using the Statistical Analysis System (version 9.2, SAS Institute Inc., Cary, NC, USA). Data were analyzed using the General Linear Models procedure. Percentage data were arcsine- transformed prior to analysis to maintain homogeneity of variance. Results are expressed as least-squares means ± standard error (SE) of the untransformed data. Data were analyzed statistically as follows. For each replicate, percentage of oocytes that cleaved and percentage of cleaved embryos that became blastocysts were calculated for all oocytes or embryos within the same treatment. Thus, the group of oocytes treated alike within each replicate was the experimental unit. Statistical analyses were performed using the Statistical Analysis System (version 9.2, SAS Institute Inc., Cary, NC, USA). Data were analyzed using the General Linear Models procedure. Percentage data were arcsine- transformed prior to analysis to maintain homogeneity of variance. Results are expressed as least-squares means ± standard error (SE) of the untransformed data. Materials: Dulbecco’s phosphate-buffered saline (DPBS) was purchased from Hyclone Laboratories Inc. (Logan, UT), FSH from Bioniche Inc. (Belleville, Ontario, Canada) and fetal calf serum (FCS) from Gibco (Grand Island, NY). All other chemicals and reagents were cell-culture tested and were obtained from Sigma-Aldrich (St. Louis, MO). Synthetic oviductal fluid (SOF) medium was prepared according to the formula of Tervit et al.[15] minus glucose. All media were filtered through 0.2 μm Millipore filter (Carrigtwohill, Co. Cork, Ireland) and placed in an incubator (Forma Serial II, USA) to equilibrate for four to six hours in an atmosphere of 5% CO2 in air. Oocyte collection and in vitro maturation (IVM): Collection and IVM of yak oocytes were performed in accordance with the method of Zi et al. [13,16]. Briefly, ovaries were collected from yaks at local abattoir from October to December, and transported to the laboratory in DPBS maintained at 29–33°C. Cumulus-oocyte complexes (COCs) were aspirated from follicles (2–8 mm diameter) using a hand-held 10-ml syringe connected to an 18 ga needle. COCs were collected in DPBS supplemented with 6 mg/ml BSA under a low-power (20×) stereomicroscope. Unselected COCs were rinsed three times in DPBS containing 5% (v/v) FCS and twice in TCM 199 supplemented with 20% (v/v) FCS, 1 μg/ml estradiol-17β, 100 U/ml penicillin and 100 μg/ml streptomycin, different concentrations of FSH and LH according to the experimental design (IVM medium). Only COCs having one or more layers of cumulus cells and evenly granulated ooplasm were selected. Up to 30 COCs were placed in each culture well (Nunc Inc., Naperville IL, USA) containing 600 μl of maturation medium covered with 300 μl mineral oil. COCs were allowed to mature for approximately 24 h at 38.6°C in an atmosphere of 5% CO2 in humidified air. Sperm preparation, in vitro fertilization, and embryo culture: Sperm preparation and IVF were conducted according to previously described procedures [13,16] with some modifications. Frozen semen was thawed and washed by centrifugation through a Percoll gradient (30%/45%) containing Hepes-buffered SOF medium supplemented with 5 mg/ml BSA, 50 μg/ml caffeine, 30 μg/ml glutathione and 20 μg/ml heparin (sperm medium) and centrifuged at 500 × g for 10 min to separate motile sperm. After centrifugation, 120 μl of the concentrated sperm fraction was removed and placed into 200 μl of sperm medium and incubated at 38.6°C for 15 min. After oocyte maturation, excess cummulus cells were removed by gently swirling the COCs in a 36 mm Petri dish containing SOF with 6 mg/ml BSA (IVF medium). The COCs were further washed twice in IVF medium before being transferred into four-well plates (up to 30 per well) containing 500 μl IVF medium covered with 300 μl mineral oil per well. Each well received 50 μl of the sperm suspension (for a final concentration of 1 × 106 motile sperm/ml). Oocytes and sperm were allowed to coincubate for 24–26 h at 38.6°C in an atmosphere of 5% CO2 in humidified air. Remnant cumulus cells were removed from the putative zygotes by gentle pipetting after approximately 26 h of coincubation. The putative zygotes were then washed three times in SOF medium. Groups of 25 embryos were cultured in 600 μl of SOF medium supplemented with 6 mg/ml BSA, 0.5 mg/ml myoinositol, 3% (v/v) essential amino acids, 1% (v/v) nonessential amino acids, 100 U/ml penicillin, 100 μg/ml streptomycin and 100 μg/ml L-glutamine (culture medium) under 300 μl mineral oil, cultured in a humidified atmosphere of 5% CO2, 5% O2, and 90% N2 at 38.5°C. The number of zygotes that cleaved was recorded 48 h post insemination (hpi). The culture medium was changed at 96 hpi and blastocyst development was determined on Days 7 to 9 post insemination (Day 0 = insemination). This experiment was replicated three to five times for each group. Expression of FSHR and LHR in cumulus cells after in vitro maturation: GAPDH gene was chosen as reference gene for normalizing expression levels of target genes. Primers specific for target goat genes were designed with Beacon Designer 7.0 software (Premier Biosoft International, Palo Alto, CA USA) according to manufacturers guidelines (FSHR: 5'-TTCAATGGGACAACGCTGATTTC-3'/5'-TGTGGCAATTAGCGTCTGAATG GA-3'; LHR: 5'-AGTGACACCAAGATAGCCAAGC-3/5-GGTAGAACAGGACCAGGAGG AT-3'; GAPDH: 5'-AGTTCCACGGCACAGTCAAG-3'/5'-ACTCAGCACCAGCATCACC- 3'). Total RNA of cumulus cells after in vitro maturation (different concentrations of FSH and LH in IVM medium) was extracted, and reverse transcribed as described previously [17]. Real-time PCR was performed using on an iCycler iQ5 Real-time Detection System (Bio-Rad, CA, USA) with the SsoFast™ EvaGreen Supermix (Bio-Rad, CA, USA) in a volume of 10 μl. The cycle parameters were 3 min at 95°C, followed by 45 cycles of denaturation at 95°C for 10 s and annealing at 60.7°C (FSHR), 58.9°C (LHR) or 57.7°C (GAPDH) for 10 s, and finally, melt curve analysis. The real-time PCR amplification efficiency (E) of each primer pair and mean Ct (threshold cycles) values were calculated and used for determination of target gene RNA transcript levels [18], which includes a correction for differences in E between the target and housekeeping gene. Results were expressed, however, as relative expression ratios (RE) rather than as fold changes from a calibrator sample. The formula, therefore, was as RE = (1 + E ref) Ct ref /(1 + E target) Ct target . Each sample was tested in triplicate, and each experiment was replicated four times with cumulus cells from 30–50 COCs for each replicate. Experimental design: Experiment 1 was conducted to investigate the optimal concentration of FSH and LH in IVM medium to improve yak oocyte competence for development after fertilization. COCs were matured in IVM medium that was supplemented with different combinations of LH (50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml). Experiment 2 was conducted to investigate the effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in cumulus cells after 24 h IVM. COCs were matured in IVM medium that was supplemented with different combinations of LH (0, 50 or 100 IU/ml) and FSH (0, 1, 5, 10 μg/ml). Cumulus cells were collected at the end of IVM for each combination to determine FSHR and LHR mRNA expression. Experiment 3 was conducted to investigate the concentration-dependent effects of MG132 added at the end of oocyte maturation on embryonic development. The MG132 was dissolved in dimethyl sulfoxide (DMSO) and was added to maturation drops so that the final concentration of DMSO was not greater than 0.5% (v/v). The control oocytes were cultured with medium supplemented with a similar amount of DMSO during IVM as for oocytes treated with MG132. COCs were matured in IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) that was supplemented with 0, 10, 20 or 30 μM MG132 from 18 h to 24 h after initiation of maturation. Treatment was achieved by washing COCs after 18 h of maturation and placing them in fresh medium containing MG132. Experiment 4 was conducted to determine whether timing of MG132 treatment altered effects of the inhibitor on embryonic development. COCs were untreated or treated with 10 μM MG132 at two times [0–6 h of maturation (during the initiation of maturation) or 18–24 h of maturation (at the end of maturation)] using a 2 × 2 factorial arrangement of treatments. The COCs were placed in appropriate treatments at 0 h (MG132), washed at 6 h, placed in fresh IVM medium (containing 5 μg/ml FSH and 50 IU/ml LH) without MG132, washed at 18 h of maturation, and placed in fresh medium with appropriate treatment. Thus, some cultures received MG132 at 0–6 h and 18–24 h, some received MG132 from 0–6 h only, some received MG132 from 18–24 h only, and some did not receive MG132 treatment during in vitro maturation. Statistics: Data were analyzed statistically as follows. For each replicate, percentage of oocytes that cleaved and percentage of cleaved embryos that became blastocysts were calculated for all oocytes or embryos within the same treatment. Thus, the group of oocytes treated alike within each replicate was the experimental unit. Statistical analyses were performed using the Statistical Analysis System (version 9.2, SAS Institute Inc., Cary, NC, USA). Data were analyzed using the General Linear Models procedure. Percentage data were arcsine- transformed prior to analysis to maintain homogeneity of variance. Results are expressed as least-squares means ± standard error (SE) of the untransformed data. Results: The optimal concentration of FSH and LH in IVM medium (Experiment 1) Effects of FSH and LH concentration in IVM medium on subsequent embryonic development of the yak were shown in Table 1. The optimal concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH, i.e. both the cleavage rate and the blastocyst rate were the highest at this condition. There was a tendency for high LH concentration (100 IU/ml) in IVM medium to decrease the subsequent cleavage rate. Effects of FSH and LH concentration in IVM medium on yak embryonic development Three to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05). Effects of FSH and LH concentration in IVM medium on subsequent embryonic development of the yak were shown in Table 1. The optimal concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH, i.e. both the cleavage rate and the blastocyst rate were the highest at this condition. There was a tendency for high LH concentration (100 IU/ml) in IVM medium to decrease the subsequent cleavage rate. Effects of FSH and LH concentration in IVM medium on yak embryonic development Three to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05). Effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in cumulus cells (Experiment 2) FSHR and LHR mRNA expressions of cumulus cells in media supplemented with different concentrations of FSH and LH were shown in Figure 1. Both FSHR and LHR mRNA were detected in yak cumulus cells after in vitro maturation, and the greatest expression was observed when the concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH. The cumulus cells had higher numbers of FSH receptors than LH receptors. Addition of FSH in IVM media had a greater effect on increase of these receptors than that of LH. Effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in yak cumulus cells after 24 h IVM as determined by real-time PCR. The experiments were carried out in four replicates. The expression of these mRNAs was normalized to the expression of GAPDH measured in the same RNA preparation. Results were expressed as the mean ± SD. FSHR and LHR mRNA expressions of cumulus cells in media supplemented with different concentrations of FSH and LH were shown in Figure 1. Both FSHR and LHR mRNA were detected in yak cumulus cells after in vitro maturation, and the greatest expression was observed when the concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH. The cumulus cells had higher numbers of FSH receptors than LH receptors. Addition of FSH in IVM media had a greater effect on increase of these receptors than that of LH. Effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in yak cumulus cells after 24 h IVM as determined by real-time PCR. The experiments were carried out in four replicates. The expression of these mRNAs was normalized to the expression of GAPDH measured in the same RNA preparation. Results were expressed as the mean ± SD. Concentration-dependent effect of MG132 from 18–24 h of maturation on subsequent embryonic development (Experiment 3) Results for COCs treated from 18 to 24 h of maturation with 0, 10, 20 or 30 μM MG132 are shown in Table 2. Treatment of COCs with 10 μM MG132 in IVM medium increased (P < 0.05) the percentage of cleaved embryos (i.e., that were ≥2 cells) becoming blastocysts. There was, however, no effect of 10 μM MG132 on the cleavage rate. Treatment with 20 μM MG132 had no effect on the cleavage rate and the percentage of cleaved embryos becoming blastocysts. However, treatment with 30 μM MG132 had negative effect on subsequent development. Concentration-dependent effects of MG132 added from 18–24 h of maturation on yak embryonic development Three to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05). Results for COCs treated from 18 to 24 h of maturation with 0, 10, 20 or 30 μM MG132 are shown in Table 2. Treatment of COCs with 10 μM MG132 in IVM medium increased (P < 0.05) the percentage of cleaved embryos (i.e., that were ≥2 cells) becoming blastocysts. There was, however, no effect of 10 μM MG132 on the cleavage rate. Treatment with 20 μM MG132 had no effect on the cleavage rate and the percentage of cleaved embryos becoming blastocysts. However, treatment with 30 μM MG132 had negative effect on subsequent development. Concentration-dependent effects of MG132 added from 18–24 h of maturation on yak embryonic development Three to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05). Fertilization rates of oocytes treated with MG132 from 0–6 or 18–24 h of maturation (Experiment 4) Results are in Table 3. Addition of MG132 from 0–6 h of maturation reduced fertilization rate regardless of whether MG132 was also added at 18–24 h of maturation (P < 0.05), but treatment of COCs with 10 μM MG132 increased (P < 0.05) the percentage of cleaved embryos becoming blastocysts, as also shown in Experiment 2. Effects of timing of MG132 treatment (10 μM) on yak embryonic development Three to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05). Results are in Table 3. Addition of MG132 from 0–6 h of maturation reduced fertilization rate regardless of whether MG132 was also added at 18–24 h of maturation (P < 0.05), but treatment of COCs with 10 μM MG132 increased (P < 0.05) the percentage of cleaved embryos becoming blastocysts, as also shown in Experiment 2. Effects of timing of MG132 treatment (10 μM) on yak embryonic development Three to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05). The optimal concentration of FSH and LH in IVM medium (Experiment 1): Effects of FSH and LH concentration in IVM medium on subsequent embryonic development of the yak were shown in Table 1. The optimal concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH, i.e. both the cleavage rate and the blastocyst rate were the highest at this condition. There was a tendency for high LH concentration (100 IU/ml) in IVM medium to decrease the subsequent cleavage rate. Effects of FSH and LH concentration in IVM medium on yak embryonic development Three to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05). Effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in cumulus cells (Experiment 2): FSHR and LHR mRNA expressions of cumulus cells in media supplemented with different concentrations of FSH and LH were shown in Figure 1. Both FSHR and LHR mRNA were detected in yak cumulus cells after in vitro maturation, and the greatest expression was observed when the concentration of FSH and LH in IVM medium was 5 μg/ml FSH and 50 IU/ml LH. The cumulus cells had higher numbers of FSH receptors than LH receptors. Addition of FSH in IVM media had a greater effect on increase of these receptors than that of LH. Effect of addition of FSH and LH in IVM media on FSHR and LHR mRNA expression in yak cumulus cells after 24 h IVM as determined by real-time PCR. The experiments were carried out in four replicates. The expression of these mRNAs was normalized to the expression of GAPDH measured in the same RNA preparation. Results were expressed as the mean ± SD. Concentration-dependent effect of MG132 from 18–24 h of maturation on subsequent embryonic development (Experiment 3): Results for COCs treated from 18 to 24 h of maturation with 0, 10, 20 or 30 μM MG132 are shown in Table 2. Treatment of COCs with 10 μM MG132 in IVM medium increased (P < 0.05) the percentage of cleaved embryos (i.e., that were ≥2 cells) becoming blastocysts. There was, however, no effect of 10 μM MG132 on the cleavage rate. Treatment with 20 μM MG132 had no effect on the cleavage rate and the percentage of cleaved embryos becoming blastocysts. However, treatment with 30 μM MG132 had negative effect on subsequent development. Concentration-dependent effects of MG132 added from 18–24 h of maturation on yak embryonic development Three to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05). Fertilization rates of oocytes treated with MG132 from 0–6 or 18–24 h of maturation (Experiment 4): Results are in Table 3. Addition of MG132 from 0–6 h of maturation reduced fertilization rate regardless of whether MG132 was also added at 18–24 h of maturation (P < 0.05), but treatment of COCs with 10 μM MG132 increased (P < 0.05) the percentage of cleaved embryos becoming blastocysts, as also shown in Experiment 2. Effects of timing of MG132 treatment (10 μM) on yak embryonic development Three to five replicates were performed. The blastocyst rate was calculated as the percentage of the number of cleaved embryos. Values with different letters within the same columns differ (P < 0.05). Discussion: Yak oocyte competence for fertilization and ability to support embryonic development was affected by additions of FSH, LH and the proteasomal inhibitor MG132 during the maturation process. The optimal concentration of FSH and LH in IVM media was 5 μg/ml FSH and 50 IU/ml LH. The percentage of cleaved embryos becoming blastocysts could be further improved by MG132, but actions of MG132 depended on the time of addition and the concentration. Yak oocyte competence was improved when 10 μM MG132 was added during the last 6 h maturation (from 18–24 h of maturation) and reduced when added during the first 6 h of maturation. The mammalian oocytes are surrounded by several layers of cumulus cells, with the corona cell being closest to the oocyte. FSH and LH stimulate cumulus cell expansion, nuclear maturation, cytoplasmic maturation, and improve embryonic development in mice [2,3], pig [4], cow [5], equine [6] and dog [7]. In previous studies of mice and rats, the cumulus cells had high numbers of FSH receptors, but little or no LH receptors [19-21]. In bovines, it was reported that the FSH receptor and its mRNA were expressed in cumulus cells and granulosa cells, but not the mRNA of the LH receptor [22]. In this study, we observed that an optimal concentration of 5 μg/ml FSH and 50 IU/ml LH in IVM medium increased yak oocyte competence for fertilization and ability to support embryonic development (Table 1), and FSHR and LHR mRNA expressions of cumulus cells. FSH was more effective than LH due to higher FSH receptor levels in cumulus cells of yak oocytes than the levels of the LH receptor. In addition, treatment with FSH in IVM media had greater effect on the increase of FSHR and LHR mRNA expression level than that of LH (Figure 1). Early in maturation, completion of meiosis I requires inactivation of maturation promoting factor (MPF) through a process mediated by proteasomal cleavage of ubiquitinated cyclin B1 [23]. In bovine, MG132 treatment from 0–6 h of maturation has been reported to increase the proportion of oocytes that were at metaphase I and decrease the number of oocytes that reached metaphase II at the end of maturation [11]. Therefore, inhibition of meiosis is likely a major cause for reduced oocyte competence in bovine oocytes. Inhibition of other proteasome-mediated events early in maturation may also be involved in reduced oocyte competence. For example, in the pig, MG132 can affect expression of genes involved in expansion of the extracellular matrix [24]. Similarly, in this study, we also observed that yak oocyte competence for development after fertilization was significantly reduced by addition of MG132 from 0–6 h of maturation (Table 3). The finding that treatment of yak COCs with 10 μM MG132 late in maturation improves the percentage of cleaved embryos becoming blastocysts is consistent with other results showing beneficial effects of MG132 on aged mouse oocytes fertilized by intracytoplasmic sperm injection [9], parthenogenetically activated pig oocytes [10] and IVM bovine oocytes [11]. Beneficial effects of MG132 on nuclear remodeling, transcript abundance and embryonic development have also been shown for embryos constructed by somatic cell nuclear cloning in mammalian species [10,25-28]. Optimal results with MG132 were achieved at a concentration of 10 μM – beneficial effects were generally not observed at lower or higher concentrations (Table 2). Similar effects have been seen in mouse, goat, pig and bovine oocytes used for SCNT [25,29] and IVF [11]. In contrast to the observation by You et al. [11] in bovine oocytes, inhibition of proteasomes late in maturation can not improve the competence of yak oocyte to cleave in the present study (Tables 2 and 3). The mechanism by which MG132 late in maturation improves competence of the oocyte to support development is likely to involve arrest of processes mediated by proteasomes that ordinarily compromise the oocyte. In bovine oocytes, it was found that MG132 at the end of maturation increased relative expression of six proteins and decreased relative expression of 23 that are potentially important for oocyte competence [11]. Conclusions: An optimal concentration of FSH and LH improves oocytes competence for development after fertilization in yak. Treatment with MG132 early in maturation reduces fertilization rate and the proportion of oocytes and cleaved embryos that became blastocysts. Conversely, inhibition of proteasomes late in maturation can improve oocytes competence for development after fertilization. Competing interests: The authors declare that they have no competing interests. Authors’ contributions: XX and XDZ carried out all aspects of the study and wrote the manuscript. HRN and XRX participated in some parts of IVF. JCZ, JL, LW and YW participated in the experimental design. All authors read and approved the final manuscript.
Background: The competence for embryonic development after IVF is low in the yak, therefore, we investigated the effects of supplementation of FSH, LH and the proteasome inhibitor MG132 in IVM media on yak oocyte competence for development after IVF. Methods: In Experiment 1, yak cumulus-oocyte complexes (COCs) were in vitro matured (IVM) in TCM-199 with 20% fetal calf serum (FCS), 1 microg/mL estradiol-17beta, and different combinations of LH (50 or 100 IU/mL) and FSH (0, 1, 5, 10 microg/mL) at 38.6 degrees C, 5% CO2 in air for 24 h. Matured oocytes were exposed to frozen-thawed, heparin-capacitated yak sperm. Presumptive zygotes were cultured in SOF medium containing 6 mg/ml BSA, 0.5 mg/mL myoinositol, 3% (v/v) essential amino acids, 1% nonessential amino acids and 100 μg/mL L-glutamine (48 h, 38.5 degrees C, 5% CO2, 5% O2, and 90% N2). In Experiment 2, cumulus cells were collected at the end of IVM to determine FSHR and LHR mRNA expression by real-time PCR. In Experiment 3 and 4, COCs were cultured in the presence or absence of the proteasomal inhibitor MG132 from either 0-6 h or 18-24 h after initiation of maturation. Results: The optimum concentration of FSH and LH in IVM media was 5 microg/mL FSH and 50 IU/mL LH which resulted in the greatest cleavage (79.1%) and blastocyst rates (16.1%). Both FSHR and LHR mRNA were detected in yak cumulus cells after IVM. Treatment with MG132 early in maturation reduced (P<0.05) cleavage and blastocyst rates. Conversely, treatment with MG132 late in maturation improved (P<0.05) blastocyst rate. Optimal results with MG132 were achieved at a concentration of 10 microM. Conclusions: An optimum concentration of FSH and LH in IVM medium, and treatment with MG132 late in maturation can improve yak oocytes competence for development after IVF.
Background: In most mammals, throughout follicular development, the oocytes undergo a series of profound changes involving both nuclear and cytoplasmic maturation induced by the pre-ovulatory surge of gonadotropins during this period [1]. These changes are essential for the formation of oocytes having the capacity for fertilization and embryonic development. Therefore, in vitro culture systems of most species often occur in in vitro maturation (IVM) media supplemented with gonadotrophins such as FSH and LH to induce cumulus cell expansion, nuclear maturation, cytoplasmic maturation, and to improve embryonic development in mice [2,3], pig [4], cow [5], equine [6] and domestic dog [7]. For gonadotrophins to act in vitro, FSH and LH receptor (FSHR and LHR) proteins and mRNA must be expressed by the cumulus cell [8]. The proteasome, a multisubunit proteolytic complex involved in degradation of ubiquitinated proteins, plays a crucial role in assuring completion of meiosis and early in maturation of oocyte, however, late in the process of oocyte maturation, the proteasome may contribute to a reduction in the functional properties of the oocyte. Treatment with the proteasome inhibitor MG132 reduced the effect of in vitro aging on oocyte competence in the mouse [9]. Furthermore, treatment of oocytes with MG132 late in maturation increased abundance of specific transcripts and improved developmental competence of parthenogenetically-activated oocytes in the pig [10] and in vitro matured oocytes in cattle [11]. The yak (Bos grunniens) is the principal meat and dairy animal in Qinghai-Tibet plateau, because few other animals survive in these areas [12]. In vitro production (IVP) of embryos is a well-established embryonic biotechnology with a variety of application in basic and applied sciences. IVP has been made great progress in cattle which is becoming one of the most exciting and progressive procedures available for today’s producers but the efficiency of yak IVP is still low, i.e. less than 10% of cleaved embryos (i.e., that were ≥2 cells) becoming blastocysts [13,14]. Therefore, this study was performed to investigate the effect of FSH, LH and MG132 during oocytes maturation on competence for development after fertilization in the yak. Conclusions: An optimal concentration of FSH and LH improves oocytes competence for development after fertilization in yak. Treatment with MG132 early in maturation reduces fertilization rate and the proportion of oocytes and cleaved embryos that became blastocysts. Conversely, inhibition of proteasomes late in maturation can improve oocytes competence for development after fertilization.
Background: The competence for embryonic development after IVF is low in the yak, therefore, we investigated the effects of supplementation of FSH, LH and the proteasome inhibitor MG132 in IVM media on yak oocyte competence for development after IVF. Methods: In Experiment 1, yak cumulus-oocyte complexes (COCs) were in vitro matured (IVM) in TCM-199 with 20% fetal calf serum (FCS), 1 microg/mL estradiol-17beta, and different combinations of LH (50 or 100 IU/mL) and FSH (0, 1, 5, 10 microg/mL) at 38.6 degrees C, 5% CO2 in air for 24 h. Matured oocytes were exposed to frozen-thawed, heparin-capacitated yak sperm. Presumptive zygotes were cultured in SOF medium containing 6 mg/ml BSA, 0.5 mg/mL myoinositol, 3% (v/v) essential amino acids, 1% nonessential amino acids and 100 μg/mL L-glutamine (48 h, 38.5 degrees C, 5% CO2, 5% O2, and 90% N2). In Experiment 2, cumulus cells were collected at the end of IVM to determine FSHR and LHR mRNA expression by real-time PCR. In Experiment 3 and 4, COCs were cultured in the presence or absence of the proteasomal inhibitor MG132 from either 0-6 h or 18-24 h after initiation of maturation. Results: The optimum concentration of FSH and LH in IVM media was 5 microg/mL FSH and 50 IU/mL LH which resulted in the greatest cleavage (79.1%) and blastocyst rates (16.1%). Both FSHR and LHR mRNA were detected in yak cumulus cells after IVM. Treatment with MG132 early in maturation reduced (P<0.05) cleavage and blastocyst rates. Conversely, treatment with MG132 late in maturation improved (P<0.05) blastocyst rate. Optimal results with MG132 were achieved at a concentration of 10 microM. Conclusions: An optimum concentration of FSH and LH in IVM medium, and treatment with MG132 late in maturation can improve yak oocytes competence for development after IVF.
8,910
400
[ 419, 140, 251, 449, 343, 492, 121, 143, 178, 177, 128, 10, 47 ]
17
[ "ml", "mg132", "maturation", "medium", "fsh", "lh", "ivm", "cocs", "10", "cells" ]
[ "cumulus cells fsh", "proteasomes late maturation", "mammals follicular development", "maturation mammalian oocytes", "maturation proteasome contribute" ]
[CONTENT] IVF | Yak | FSH | MG132 | Early development [SUMMARY]
[CONTENT] IVF | Yak | FSH | MG132 | Early development [SUMMARY]
[CONTENT] IVF | Yak | FSH | MG132 | Early development [SUMMARY]
[CONTENT] IVF | Yak | FSH | MG132 | Early development [SUMMARY]
[CONTENT] IVF | Yak | FSH | MG132 | Early development [SUMMARY]
[CONTENT] IVF | Yak | FSH | MG132 | Early development [SUMMARY]
[CONTENT] Animals | Cattle | Cells, Cultured | Culture Media | Female | Follicle Stimulating Hormone | Leupeptins | Luteinizing Hormone | Oocytes | Proteasome Inhibitors [SUMMARY]
[CONTENT] Animals | Cattle | Cells, Cultured | Culture Media | Female | Follicle Stimulating Hormone | Leupeptins | Luteinizing Hormone | Oocytes | Proteasome Inhibitors [SUMMARY]
[CONTENT] Animals | Cattle | Cells, Cultured | Culture Media | Female | Follicle Stimulating Hormone | Leupeptins | Luteinizing Hormone | Oocytes | Proteasome Inhibitors [SUMMARY]
[CONTENT] Animals | Cattle | Cells, Cultured | Culture Media | Female | Follicle Stimulating Hormone | Leupeptins | Luteinizing Hormone | Oocytes | Proteasome Inhibitors [SUMMARY]
[CONTENT] Animals | Cattle | Cells, Cultured | Culture Media | Female | Follicle Stimulating Hormone | Leupeptins | Luteinizing Hormone | Oocytes | Proteasome Inhibitors [SUMMARY]
[CONTENT] Animals | Cattle | Cells, Cultured | Culture Media | Female | Follicle Stimulating Hormone | Leupeptins | Luteinizing Hormone | Oocytes | Proteasome Inhibitors [SUMMARY]
[CONTENT] cumulus cells fsh | proteasomes late maturation | mammals follicular development | maturation mammalian oocytes | maturation proteasome contribute [SUMMARY]
[CONTENT] cumulus cells fsh | proteasomes late maturation | mammals follicular development | maturation mammalian oocytes | maturation proteasome contribute [SUMMARY]
[CONTENT] cumulus cells fsh | proteasomes late maturation | mammals follicular development | maturation mammalian oocytes | maturation proteasome contribute [SUMMARY]
[CONTENT] cumulus cells fsh | proteasomes late maturation | mammals follicular development | maturation mammalian oocytes | maturation proteasome contribute [SUMMARY]
[CONTENT] cumulus cells fsh | proteasomes late maturation | mammals follicular development | maturation mammalian oocytes | maturation proteasome contribute [SUMMARY]
[CONTENT] cumulus cells fsh | proteasomes late maturation | mammals follicular development | maturation mammalian oocytes | maturation proteasome contribute [SUMMARY]
[CONTENT] ml | mg132 | maturation | medium | fsh | lh | ivm | cocs | 10 | cells [SUMMARY]
[CONTENT] ml | mg132 | maturation | medium | fsh | lh | ivm | cocs | 10 | cells [SUMMARY]
[CONTENT] ml | mg132 | maturation | medium | fsh | lh | ivm | cocs | 10 | cells [SUMMARY]
[CONTENT] ml | mg132 | maturation | medium | fsh | lh | ivm | cocs | 10 | cells [SUMMARY]
[CONTENT] ml | mg132 | maturation | medium | fsh | lh | ivm | cocs | 10 | cells [SUMMARY]
[CONTENT] ml | mg132 | maturation | medium | fsh | lh | ivm | cocs | 10 | cells [SUMMARY]
[CONTENT] vitro | maturation | ivp | oocytes | proteasome | oocyte | gonadotrophins | cattle | competence | development [SUMMARY]
[CONTENT] ml | medium | cocs | μl | mg132 | sperm | ivm | μg | μg ml | maturation [SUMMARY]
[CONTENT] rate | mg132 | lh | fsh | ivm | 05 | μm | μm mg132 | concentration | percentage [SUMMARY]
[CONTENT] oocytes competence | oocytes competence development | oocytes competence development fertilization | fertilization | oocytes | competence | development fertilization | competence development | competence development fertilization | conversely inhibition proteasomes late [SUMMARY]
[CONTENT] mg132 | ml | lh | maturation | fsh | medium | ivm | rate | oocytes | cocs [SUMMARY]
[CONTENT] mg132 | ml | lh | maturation | fsh | medium | ivm | rate | oocytes | cocs [SUMMARY]
[CONTENT] IVF | FSH | LH | MG132 | IVM | IVF [SUMMARY]
[CONTENT] Experiment 1 | IVM | 20% | 1 | LH | 50 | FSH | 1 | 5 | 10 | 38.6 degrees | 5% | 24 h. Matured ||| SOF | 6 mg/ml | BSA | 0.5 | 3% | 1% | 100 μg/mL L | 48 | 38.5 degrees | 5% | 5% | O2 | 90% ||| Experiment 2 | IVM | LHR | PCR ||| Experiment 3 and 4 | MG132 | 0-6 | 18-24 [SUMMARY]
[CONTENT] FSH | LH | IVM | 5 | 79.1% | 16.1% ||| FSHR | LHR | IVM ||| MG132 ||| MG132 ||| MG132 | 10 [SUMMARY]
[CONTENT] FSH | LH | IVM | MG132 | IVF [SUMMARY]
[CONTENT] IVF | FSH | LH | MG132 | IVM | IVF ||| 1 | IVM | 20% | 1 | LH | 50 | FSH | 1 | 5 | 10 | 38.6 degrees | 5% | 24 h. Matured ||| SOF | 6 mg/ml | BSA | 0.5 | 3% | 1% | 100 μg/mL L | 48 | 38.5 degrees | 5% | 5% | O2 | 90% ||| Experiment 2 | IVM | LHR | PCR ||| Experiment 3 and 4 | MG132 | 0-6 | 18-24 ||| ||| FSH | LH | IVM | 5 | 79.1% | 16.1% ||| FSHR | LHR | IVM ||| MG132 ||| MG132 ||| MG132 | 10 | FSH | LH | IVM | MG132 | IVF [SUMMARY]
[CONTENT] IVF | FSH | LH | MG132 | IVM | IVF ||| 1 | IVM | 20% | 1 | LH | 50 | FSH | 1 | 5 | 10 | 38.6 degrees | 5% | 24 h. Matured ||| SOF | 6 mg/ml | BSA | 0.5 | 3% | 1% | 100 μg/mL L | 48 | 38.5 degrees | 5% | 5% | O2 | 90% ||| Experiment 2 | IVM | LHR | PCR ||| Experiment 3 and 4 | MG132 | 0-6 | 18-24 ||| ||| FSH | LH | IVM | 5 | 79.1% | 16.1% ||| FSHR | LHR | IVM ||| MG132 ||| MG132 ||| MG132 | 10 | FSH | LH | IVM | MG132 | IVF [SUMMARY]
Emergency Cervical Carotid Artery Stenting After Intravenous Thrombolysis in Patients With Hyperacute Ischemic Stroke.
35578588
Intravenous recombinant tissue plasminogen activator (IV rtPA) is the mainstay of treatment for acute ischemic stroke to recanalize thrombosed intracranial vessels within 4.5 hours. Emergency carotid artery stenting for the treatment of acute stroke due to steno-occlusion of the proximal internal carotid artery (ICA) can improve symptoms, prevent neurological deterioration, and reduce recurrent stroke risk. The feasibility and safety of the combination therapy of IV rtPA and urgent carotid artery stenting have not been established.
BACKGROUND
From November 2005 to October 2020, we retrospectively assessed patients who had undergone emergent carotid artery stenting after IV rtPA for hyperacute ischemic stroke due to steno-occlusive proximal ICA lesion. Hemorrhagic transformation, successful recanalization, modified Rankin Scale (mRS) score at 90 days, and stent patency at 3 and 12 months or longer were evaluated. Favorable outcome was defined as a 90-days mRS score of ≤ 2.
METHODS
Nineteen patients with hyperacute stroke had undergone emergent carotid artery stenting after IV rtPA therapy. Their median age was 70 (67.5-73.5) years (94.7% men). Among 15 patients with an additional intracranial occlusion after flow restoration in the proximal ICA, a modified TICI grade ≥ 2b was achieved in 11 patients (73.3%). Hemorrhagic transformation occurred in five patients (26.3%); mortality rate was 5.7%. Eleven patients (57.9%) had favorable outcomes at 90 days. Stent patients (94.1%) maintained stent patency for ≥ 12 months.
RESULTS
We showed that emergent carotid artery stenting after IV rtPA therapy for hyperacute stroke caused by atherosclerotic proximal ICA steno-occlusion was feasible and safe.
CONCLUSION
[ "Aged", "Carotid Artery, Internal", "Carotid Stenosis", "Endovascular Procedures", "Female", "Humans", "Ischemic Stroke", "Male", "Retrospective Studies", "Stents", "Thrombolytic Therapy", "Tissue Plasminogen Activator", "Treatment Outcome" ]
9110268
INTRODUCTION
Intravenous (IV) thrombolysis with recombinant tissue plasminogen activator (rtPA) is employed in recanalizing thrombosed intracranial vessels such as the internal carotid artery (ICA), middle cerebral artery (MCA), and its branches within 4.5 hours.123 Although the incidence and management of early recurrent ischemic stroke after IV administration of rtPA have not been extensively investigated, patients with stroke due to carotid artery atherosclerosis carry the highest risk of recurrence.4 Hence, the optimal treatment for patients with hyperacute stroke caused by stenosis or occlusion of the proximal ICA remains controversial. In addition, these patients frequently experience tandem intracranial artery occlusion. Tandem distal ICA and MCA occlusions independently predict resistance to IV rtPA therapy and are thus predictors for poor outcomes.56789 Treating acute stroke due to steno-occlusion of the corresponding proximal ICA with emergent carotid artery stenting (CAS) can lead to improvement of acute stroke symptoms, prevent further neurological deterioration, and reduce long-term recurrent stroke risk.101112131415 A combination of IV tPA and early CAS might be feasible treatment strategy.3161718 However, the risk of intracranial hemorrhage associated with early reperfusion might be increased during the first 24 hours after IV rtPA administration, and the American Stroke Association/American Heart Association advise against the use of antiplatelet agents during this time because of increased bleeding complications.1617 Nevertheless clinicians employ double antiplatelet regimen after CAS to prevent stent occlusion.31718 Therefore, the feasibility and safety of combining IV tPA and emergent CAS remains unmet need. The aim of our study was to evaluate the feasibility and safety of the combination therapy of IV rtPA and early CAS in patients with hyperacute ischemic stroke due to ICA steno-occlusion.
METHODS
Patient selection Our study subjects were collected from the prospective CAS registry of a single stroke center at a tertiary medical institution. From November 2005 to October 2020, patients treated with IV rtPA up to 4.5 hours following ischemic stroke and who underwent urgent CAS due to high-grade proximal ICA stenosis or ICA occlusion were enrolled. Initially, treatment with IV rtPA within 3 hours of symptom onset was required, and after the European Cooperative Acute Stroke Study III published their criteria, this time window was extended to 4.5 hours.2 Patients considered for endovascular recanalization therapy met the following criteria: 1) initial National Institutes of Health Stroke Scale (NIHSS) score ≥ 4 after administration of IV rtPA, 2) computed tomography (CT) signs of ischemia that affected less than one-third of the MCA territory, 3) an angiographically documented cervical ICA occlusion or severe stenosis (≥ 90% NASCET) with or without intracranial artery occlusion. Patients were excluded if they met the following criteria: 1) pre-modified Rankin Scale (mRS) score ≥ 2; 2) dissection of the ICA; 3) chronic ICA occlusion; and 4) systemic diseases with a life expectancy of ≤ 1 year. Our study subjects were collected from the prospective CAS registry of a single stroke center at a tertiary medical institution. From November 2005 to October 2020, patients treated with IV rtPA up to 4.5 hours following ischemic stroke and who underwent urgent CAS due to high-grade proximal ICA stenosis or ICA occlusion were enrolled. Initially, treatment with IV rtPA within 3 hours of symptom onset was required, and after the European Cooperative Acute Stroke Study III published their criteria, this time window was extended to 4.5 hours.2 Patients considered for endovascular recanalization therapy met the following criteria: 1) initial National Institutes of Health Stroke Scale (NIHSS) score ≥ 4 after administration of IV rtPA, 2) computed tomography (CT) signs of ischemia that affected less than one-third of the MCA territory, 3) an angiographically documented cervical ICA occlusion or severe stenosis (≥ 90% NASCET) with or without intracranial artery occlusion. Patients were excluded if they met the following criteria: 1) pre-modified Rankin Scale (mRS) score ≥ 2; 2) dissection of the ICA; 3) chronic ICA occlusion; and 4) systemic diseases with a life expectancy of ≤ 1 year. Acute reperfusion therapy Before receiving IV rtPA, all patients were initially examined using CT and CT angiography to exclude hemorrhagic stroke.1920 According to clinician’s discretion, the patients were administered IV rtPA at a dose 0.6 mg/kg or 0.9 mg/kg.2122 All endovascular treatment procedures were performed via femoral access under conscious sedation. After the diagnostic angiograms, an 8- or 9 French guide catheter was advanced to the ipsilateral common carotid artery. If the ICA was completely occluded at the origin, the lesion was traversed with a microcatheter over a micro guidewire. To verify the passage into the true lumen, evaluate the length of the occlusive lesion for stent placing purposes, and assess the presence and extent of intraluminal thrombus, a microcatheter injection was performed. After confirming the lumen by injection from the microcatheter, the microguidewire was exchanged for an exchange wire. A proximal or distal embolic protection device was used in all the cases. After pre-stenting balloon angioplasty, CAS was performed with Acculink (Guidant), WALLSTENT (Boston Scientific, Natick, MA, USA), Cristallo Ideale (INVATEC), or Protege (ev3 Neurovascular). Post-stenting balloon angioplasty was performed when there was residual severe stenosis. Subsequently, an intracranial angiogram was performed to confirm intracranial occlusion. If intracranial arterial occlusion persisted after proximal revascularization, it was either treated with the Penumbra system, the Solitaire stent–based recanalization system, or a combination of mechanical recanalization and intra-arterial thrombolysis. Based on clinician’s discretion, intracranial thrombectomy was performed after angioplasty for the proximal ICA lesion, followed by CAS. After the intervention, immediate postprocedural brain CT was obtained. Unless apparent hemorrhagic transformation was detected, aspirin monotherapy or combined aspirin and clopidogrel was used to prevent stent thrombosis. Follow-up CT imaging was performed 24 hours after the procedure or whenever clinical worsening occurred. Patients were monitored in the intensive stroke care unit. Before receiving IV rtPA, all patients were initially examined using CT and CT angiography to exclude hemorrhagic stroke.1920 According to clinician’s discretion, the patients were administered IV rtPA at a dose 0.6 mg/kg or 0.9 mg/kg.2122 All endovascular treatment procedures were performed via femoral access under conscious sedation. After the diagnostic angiograms, an 8- or 9 French guide catheter was advanced to the ipsilateral common carotid artery. If the ICA was completely occluded at the origin, the lesion was traversed with a microcatheter over a micro guidewire. To verify the passage into the true lumen, evaluate the length of the occlusive lesion for stent placing purposes, and assess the presence and extent of intraluminal thrombus, a microcatheter injection was performed. After confirming the lumen by injection from the microcatheter, the microguidewire was exchanged for an exchange wire. A proximal or distal embolic protection device was used in all the cases. After pre-stenting balloon angioplasty, CAS was performed with Acculink (Guidant), WALLSTENT (Boston Scientific, Natick, MA, USA), Cristallo Ideale (INVATEC), or Protege (ev3 Neurovascular). Post-stenting balloon angioplasty was performed when there was residual severe stenosis. Subsequently, an intracranial angiogram was performed to confirm intracranial occlusion. If intracranial arterial occlusion persisted after proximal revascularization, it was either treated with the Penumbra system, the Solitaire stent–based recanalization system, or a combination of mechanical recanalization and intra-arterial thrombolysis. Based on clinician’s discretion, intracranial thrombectomy was performed after angioplasty for the proximal ICA lesion, followed by CAS. After the intervention, immediate postprocedural brain CT was obtained. Unless apparent hemorrhagic transformation was detected, aspirin monotherapy or combined aspirin and clopidogrel was used to prevent stent thrombosis. Follow-up CT imaging was performed 24 hours after the procedure or whenever clinical worsening occurred. Patients were monitored in the intensive stroke care unit. Outcome assessment Age, sex, vascular risk factors, list of current medications, and clinical and imaging data were collected in our registry. To assess early ischemic changes, initial CT head scan before IV tPA was analyzed according to the ASPECT Score. Types of hemorrhagic transformation after reperfusion treatment were classified according to the European Cooperative Acute Stroke Study classification.23 According to the National Institute of Neurological Disorders and Stroke tPA trials, a symptomatic intracerebral hemorrhage was defined as a new-onset hemorrhage accompanied by any decline in neurologic status.21 Stroke severity was assessed using the NIHSS at the following time points: admission, end of IV rtPA infusion, at 24 hours, and at 7 days after stroke onset. The mRS was evaluated 90 days after CAS. Successful recanalization was defined as modified TICI grade ≥ 2b.24 Favorable outcome was defined as a 90-days mRS of ≤ 2. Three-month and twelve-month or longer stent patency was assessed by carotid ultrasound and/or CT angiography of neck. Stent restenosis was defined as ≥ 50% diameter, reducing stenosis or occlusion.25 Age, sex, vascular risk factors, list of current medications, and clinical and imaging data were collected in our registry. To assess early ischemic changes, initial CT head scan before IV tPA was analyzed according to the ASPECT Score. Types of hemorrhagic transformation after reperfusion treatment were classified according to the European Cooperative Acute Stroke Study classification.23 According to the National Institute of Neurological Disorders and Stroke tPA trials, a symptomatic intracerebral hemorrhage was defined as a new-onset hemorrhage accompanied by any decline in neurologic status.21 Stroke severity was assessed using the NIHSS at the following time points: admission, end of IV rtPA infusion, at 24 hours, and at 7 days after stroke onset. The mRS was evaluated 90 days after CAS. Successful recanalization was defined as modified TICI grade ≥ 2b.24 Favorable outcome was defined as a 90-days mRS of ≤ 2. Three-month and twelve-month or longer stent patency was assessed by carotid ultrasound and/or CT angiography of neck. Stent restenosis was defined as ≥ 50% diameter, reducing stenosis or occlusion.25 Ethics statement This study was approved by the ethics committee of the Keimyung University Dongsan Medical Center (No. 2021-05-068), and written informed consent was waived due to the retrospective study design. This study was approved by the ethics committee of the Keimyung University Dongsan Medical Center (No. 2021-05-068), and written informed consent was waived due to the retrospective study design.
RESULTS
Nineteen patients with hyperacute stroke underwent emergent CAS after IV rtPA administration (Fig. 1). Patient demographics and procedure-related information are shown in Tables 1 and 2. The median age was 70 years (interquartile range 68–74). There were 18 men (94.7%) and one woman (5.3%). Vascular risk factors for stroke included hypertension (73.7%), diabetes (26.3%), hyperlipidemia (26.3%), atrial fibrillation (15.8%), and smoking (42.1%). The mean ASPECTS was 9 (8–10). Initial brain CT showed involvement of less than 1/3 of the MCA territory in all patients. The median initial NIHSS score was 14 (range, 10–17). All patients had an NIHSS score of at least 6 on admission. After 24 hours and 7 days of CAS, the median NIHSS scores were 4 (3–10) and 3 (2–10), respectively. The NIHSS score improved in 17 of 19 patients after 7 days of CAS. Patient No. 2 had no change in NIHSS score, and patient No. 9 died of sudden cardiac arrest at 3 days after CAS. The mean time from stroke onset to IV rtPA infusion and stroke onset to groin puncture were 94 (57–163) min and 190 (127–231) minutes, respectively (Table 3). Eleven patients received IV rtPA at a dose of 0.6 mg/kg, and eight patients were given 0.9 mg/kg. IV = intravenous, rtPA = recombinant tissue plasminogen activator, CAS = carotid artery stenting, ICA = internal carotid artery. aInitially, treatment with IV rtPA within 3 hours of symptom onset, and after the ECASS III published their criteria, this time window was extended to 4.5 hours NIHSS = National Institutes of Health Stroke Scale, IV rtPA = intravenous recombinant tissue plasminogen activator, ICA = internal carotid artery, HTN = hypertension, M1 = M1 portion of the MCA, AF = atrial fibrillation, M2 = M2 portion of the MCA, PH = parenchymal hemoatoma, HL = hyperlipidemia, HI = hemorrhagic infarction, DM = diabetes mellitus. IV rtPA = intravenous recombinant tissue plasminogen activator, IA = intra-arterial, mTICI = modified TICI, ECASS = European Cooperative Acute Stroke Study, PSV = peak systolic velocity, CTA = computed tomography angiography, NIHSS = National Institutes of Health Stroke Scale, mRS = modified Rankin Scale, ISR = in stent restenosis, PH1 = Parenchymal hematoma type 1, HI2 = hemorrhage infarction type 2, TIO = tandem intracranial occlusion. Values are median (IQR) or n/N (%). NIHSS = National Institutes of Health Stroke Scale, CAS = carotid artery stenting, IV rtPA = intravenous recombinant tissue plasminogen activator, mTICI = modified TICI, mRS = modified Rankin Scale. Of the 19 patients, 18 (94.7%) successfully underwent CAS, and the proximal ICA was recanalized. Patient No. 17 underwent a surgical procedure to remove the distal protection device that had entangled during CAS and subsequent urgent carotid endarterectomy. Fortunately, the proximal carotid artery was successfully recanalized after carotid endarterectomy. Of the 19 patients, 15 (78.9%) showed an additional intracranial occlusion after flow restoration in the proximal ICA: at the level of the distal ICA (n = 3), MCA M1 (n = 9), and MCA M2 (n = 3). In 4 patients, additional intracranial thrombectomy was not performed because of no tandem lesion (Table 1). After the procedure, modified TICI grade ≥ 2b was achieved in 11 patients (11/15, 73.3%). Of the 11 patients, 3 (27.3%) were classified as modified TICI grade 3 and 8 patients (72.7%) as grade 2b (Tables 2 and 3). During the emergency CAS, a balloon guide catheter was used in 6 cases (31.6%), and a distal protection device was used in 15 cases (78.9%). Pre-stenting balloon angioplasty was performed in 16 cases (84.2%) and post-stenting balloon angioplasty in 2 cases (10.5%). Immediate post-procedural brain CT revealed hemorrhagic transformation in five patients (26.3%). Four patients (21.1%) were classified as having hemorrhagic infarction type 2, and one patient (5.3%) had parenchymal hematoma type 1. However, only patient No. 4 was symptomatic (Table 2). Five patients with hemorrhagic transformation and one (patient No. 17) who had undergone carotid endarterectomy were not administered antiplatelet agent within 24 hours (Table 1). Within 24 hours after the CAS, three patients were administered a single antiplatelet therapy and 10 were administered dual antiplatelet agents. Eleven patients (57.9%) had favorable outcomes at 90 days. The 90-day mortality rate was 5.3% (patient No. 9). Excluding the deceased (patient No. 9) and the carotid endarterectomy case (patient No. 17), 16 out of 17 patients (94.1%) maintained stent patency for a period of 12 months or longer (Tables 2 and 3).
null
null
[ "Patient selection", "Acute reperfusion therapy", "Outcome assessment", "Ethics statement" ]
[ "Our study subjects were collected from the prospective CAS registry of a single stroke center at a tertiary medical institution. From November 2005 to October 2020, patients treated with IV rtPA up to 4.5 hours following ischemic stroke and who underwent urgent CAS due to high-grade proximal ICA stenosis or ICA occlusion were enrolled. Initially, treatment with IV rtPA within 3 hours of symptom onset was required, and after the European Cooperative Acute Stroke Study III published their criteria, this time window was extended to 4.5 hours.2 Patients considered for endovascular recanalization therapy met the following criteria: 1) initial National Institutes of Health Stroke Scale (NIHSS) score ≥ 4 after administration of IV rtPA, 2) computed tomography (CT) signs of ischemia that affected less than one-third of the MCA territory, 3) an angiographically documented cervical ICA occlusion or severe stenosis (≥ 90% NASCET) with or without intracranial artery occlusion. Patients were excluded if they met the following criteria: 1) pre-modified Rankin Scale (mRS) score ≥ 2; 2) dissection of the ICA; 3) chronic ICA occlusion; and 4) systemic diseases with a life expectancy of ≤ 1 year.", "Before receiving IV rtPA, all patients were initially examined using CT and CT angiography to exclude hemorrhagic stroke.1920 According to clinician’s discretion, the patients were administered IV rtPA at a dose 0.6 mg/kg or 0.9 mg/kg.2122 All endovascular treatment procedures were performed via femoral access under conscious sedation. After the diagnostic angiograms, an 8- or 9 French guide catheter was advanced to the ipsilateral common carotid artery. If the ICA was completely occluded at the origin, the lesion was traversed with a microcatheter over a micro guidewire. To verify the passage into the true lumen, evaluate the length of the occlusive lesion for stent placing purposes, and assess the presence and extent of intraluminal thrombus, a microcatheter injection was performed. After confirming the lumen by injection from the microcatheter, the microguidewire was exchanged for an exchange wire. A proximal or distal embolic protection device was used in all the cases. After pre-stenting balloon angioplasty, CAS was performed with Acculink (Guidant), WALLSTENT (Boston Scientific, Natick, MA, USA), Cristallo Ideale (INVATEC), or Protege (ev3 Neurovascular). Post-stenting balloon angioplasty was performed when there was residual severe stenosis. Subsequently, an intracranial angiogram was performed to confirm intracranial occlusion. If intracranial arterial occlusion persisted after proximal revascularization, it was either treated with the Penumbra system, the Solitaire stent–based recanalization system, or a combination of mechanical recanalization and intra-arterial thrombolysis. Based on clinician’s discretion, intracranial thrombectomy was performed after angioplasty for the proximal ICA lesion, followed by CAS. After the intervention, immediate postprocedural brain CT was obtained. Unless apparent hemorrhagic transformation was detected, aspirin monotherapy or combined aspirin and clopidogrel was used to prevent stent thrombosis. Follow-up CT imaging was performed 24 hours after the procedure or whenever clinical worsening occurred. Patients were monitored in the intensive stroke care unit.", "Age, sex, vascular risk factors, list of current medications, and clinical and imaging data were collected in our registry. To assess early ischemic changes, initial CT head scan before IV tPA was analyzed according to the ASPECT Score. Types of hemorrhagic transformation after reperfusion treatment were classified according to the European Cooperative Acute Stroke Study classification.23 According to the National Institute of Neurological Disorders and Stroke tPA trials, a symptomatic intracerebral hemorrhage was defined as a new-onset hemorrhage accompanied by any decline in neurologic status.21 Stroke severity was assessed using the NIHSS at the following time points: admission, end of IV rtPA infusion, at 24 hours, and at 7 days after stroke onset. The mRS was evaluated 90 days after CAS. Successful recanalization was defined as modified TICI grade ≥ 2b.24 Favorable outcome was defined as a 90-days mRS of ≤ 2. Three-month and twelve-month or longer stent patency was assessed by carotid ultrasound and/or CT angiography of neck. Stent restenosis was defined as ≥ 50% diameter, reducing stenosis or occlusion.25", "This study was approved by the ethics committee of the Keimyung University Dongsan Medical Center (No. 2021-05-068), and written informed consent was waived due to the retrospective study design." ]
[ null, null, null, null ]
[ "INTRODUCTION", "METHODS", "Patient selection", "Acute reperfusion therapy", "Outcome assessment", "Ethics statement", "RESULTS", "DISCUSSION" ]
[ "Intravenous (IV) thrombolysis with recombinant tissue plasminogen activator (rtPA) is employed in recanalizing thrombosed intracranial vessels such as the internal carotid artery (ICA), middle cerebral artery (MCA), and its branches within 4.5 hours.123 Although the incidence and management of early recurrent ischemic stroke after IV administration of rtPA have not been extensively investigated, patients with stroke due to carotid artery atherosclerosis carry the highest risk of recurrence.4 Hence, the optimal treatment for patients with hyperacute stroke caused by stenosis or occlusion of the proximal ICA remains controversial. In addition, these patients frequently experience tandem intracranial artery occlusion. Tandem distal ICA and MCA occlusions independently predict resistance to IV rtPA therapy and are thus predictors for poor outcomes.56789 Treating acute stroke due to steno-occlusion of the corresponding proximal ICA with emergent carotid artery stenting (CAS) can lead to improvement of acute stroke symptoms, prevent further neurological deterioration, and reduce long-term recurrent stroke risk.101112131415 A combination of IV tPA and early CAS might be feasible treatment strategy.3161718 However, the risk of intracranial hemorrhage associated with early reperfusion might be increased during the first 24 hours after IV rtPA administration, and the American Stroke Association/American Heart Association advise against the use of antiplatelet agents during this time because of increased bleeding complications.1617 Nevertheless clinicians employ double antiplatelet regimen after CAS to prevent stent occlusion.31718 Therefore, the feasibility and safety of combining IV tPA and emergent CAS remains unmet need. The aim of our study was to evaluate the feasibility and safety of the combination therapy of IV rtPA and early CAS in patients with hyperacute ischemic stroke due to ICA steno-occlusion.", "Patient selection Our study subjects were collected from the prospective CAS registry of a single stroke center at a tertiary medical institution. From November 2005 to October 2020, patients treated with IV rtPA up to 4.5 hours following ischemic stroke and who underwent urgent CAS due to high-grade proximal ICA stenosis or ICA occlusion were enrolled. Initially, treatment with IV rtPA within 3 hours of symptom onset was required, and after the European Cooperative Acute Stroke Study III published their criteria, this time window was extended to 4.5 hours.2 Patients considered for endovascular recanalization therapy met the following criteria: 1) initial National Institutes of Health Stroke Scale (NIHSS) score ≥ 4 after administration of IV rtPA, 2) computed tomography (CT) signs of ischemia that affected less than one-third of the MCA territory, 3) an angiographically documented cervical ICA occlusion or severe stenosis (≥ 90% NASCET) with or without intracranial artery occlusion. Patients were excluded if they met the following criteria: 1) pre-modified Rankin Scale (mRS) score ≥ 2; 2) dissection of the ICA; 3) chronic ICA occlusion; and 4) systemic diseases with a life expectancy of ≤ 1 year.\nOur study subjects were collected from the prospective CAS registry of a single stroke center at a tertiary medical institution. From November 2005 to October 2020, patients treated with IV rtPA up to 4.5 hours following ischemic stroke and who underwent urgent CAS due to high-grade proximal ICA stenosis or ICA occlusion were enrolled. Initially, treatment with IV rtPA within 3 hours of symptom onset was required, and after the European Cooperative Acute Stroke Study III published their criteria, this time window was extended to 4.5 hours.2 Patients considered for endovascular recanalization therapy met the following criteria: 1) initial National Institutes of Health Stroke Scale (NIHSS) score ≥ 4 after administration of IV rtPA, 2) computed tomography (CT) signs of ischemia that affected less than one-third of the MCA territory, 3) an angiographically documented cervical ICA occlusion or severe stenosis (≥ 90% NASCET) with or without intracranial artery occlusion. Patients were excluded if they met the following criteria: 1) pre-modified Rankin Scale (mRS) score ≥ 2; 2) dissection of the ICA; 3) chronic ICA occlusion; and 4) systemic diseases with a life expectancy of ≤ 1 year.\nAcute reperfusion therapy Before receiving IV rtPA, all patients were initially examined using CT and CT angiography to exclude hemorrhagic stroke.1920 According to clinician’s discretion, the patients were administered IV rtPA at a dose 0.6 mg/kg or 0.9 mg/kg.2122 All endovascular treatment procedures were performed via femoral access under conscious sedation. After the diagnostic angiograms, an 8- or 9 French guide catheter was advanced to the ipsilateral common carotid artery. If the ICA was completely occluded at the origin, the lesion was traversed with a microcatheter over a micro guidewire. To verify the passage into the true lumen, evaluate the length of the occlusive lesion for stent placing purposes, and assess the presence and extent of intraluminal thrombus, a microcatheter injection was performed. After confirming the lumen by injection from the microcatheter, the microguidewire was exchanged for an exchange wire. A proximal or distal embolic protection device was used in all the cases. After pre-stenting balloon angioplasty, CAS was performed with Acculink (Guidant), WALLSTENT (Boston Scientific, Natick, MA, USA), Cristallo Ideale (INVATEC), or Protege (ev3 Neurovascular). Post-stenting balloon angioplasty was performed when there was residual severe stenosis. Subsequently, an intracranial angiogram was performed to confirm intracranial occlusion. If intracranial arterial occlusion persisted after proximal revascularization, it was either treated with the Penumbra system, the Solitaire stent–based recanalization system, or a combination of mechanical recanalization and intra-arterial thrombolysis. Based on clinician’s discretion, intracranial thrombectomy was performed after angioplasty for the proximal ICA lesion, followed by CAS. After the intervention, immediate postprocedural brain CT was obtained. Unless apparent hemorrhagic transformation was detected, aspirin monotherapy or combined aspirin and clopidogrel was used to prevent stent thrombosis. Follow-up CT imaging was performed 24 hours after the procedure or whenever clinical worsening occurred. Patients were monitored in the intensive stroke care unit.\nBefore receiving IV rtPA, all patients were initially examined using CT and CT angiography to exclude hemorrhagic stroke.1920 According to clinician’s discretion, the patients were administered IV rtPA at a dose 0.6 mg/kg or 0.9 mg/kg.2122 All endovascular treatment procedures were performed via femoral access under conscious sedation. After the diagnostic angiograms, an 8- or 9 French guide catheter was advanced to the ipsilateral common carotid artery. If the ICA was completely occluded at the origin, the lesion was traversed with a microcatheter over a micro guidewire. To verify the passage into the true lumen, evaluate the length of the occlusive lesion for stent placing purposes, and assess the presence and extent of intraluminal thrombus, a microcatheter injection was performed. After confirming the lumen by injection from the microcatheter, the microguidewire was exchanged for an exchange wire. A proximal or distal embolic protection device was used in all the cases. After pre-stenting balloon angioplasty, CAS was performed with Acculink (Guidant), WALLSTENT (Boston Scientific, Natick, MA, USA), Cristallo Ideale (INVATEC), or Protege (ev3 Neurovascular). Post-stenting balloon angioplasty was performed when there was residual severe stenosis. Subsequently, an intracranial angiogram was performed to confirm intracranial occlusion. If intracranial arterial occlusion persisted after proximal revascularization, it was either treated with the Penumbra system, the Solitaire stent–based recanalization system, or a combination of mechanical recanalization and intra-arterial thrombolysis. Based on clinician’s discretion, intracranial thrombectomy was performed after angioplasty for the proximal ICA lesion, followed by CAS. After the intervention, immediate postprocedural brain CT was obtained. Unless apparent hemorrhagic transformation was detected, aspirin monotherapy or combined aspirin and clopidogrel was used to prevent stent thrombosis. Follow-up CT imaging was performed 24 hours after the procedure or whenever clinical worsening occurred. Patients were monitored in the intensive stroke care unit.\nOutcome assessment Age, sex, vascular risk factors, list of current medications, and clinical and imaging data were collected in our registry. To assess early ischemic changes, initial CT head scan before IV tPA was analyzed according to the ASPECT Score. Types of hemorrhagic transformation after reperfusion treatment were classified according to the European Cooperative Acute Stroke Study classification.23 According to the National Institute of Neurological Disorders and Stroke tPA trials, a symptomatic intracerebral hemorrhage was defined as a new-onset hemorrhage accompanied by any decline in neurologic status.21 Stroke severity was assessed using the NIHSS at the following time points: admission, end of IV rtPA infusion, at 24 hours, and at 7 days after stroke onset. The mRS was evaluated 90 days after CAS. Successful recanalization was defined as modified TICI grade ≥ 2b.24 Favorable outcome was defined as a 90-days mRS of ≤ 2. Three-month and twelve-month or longer stent patency was assessed by carotid ultrasound and/or CT angiography of neck. Stent restenosis was defined as ≥ 50% diameter, reducing stenosis or occlusion.25\nAge, sex, vascular risk factors, list of current medications, and clinical and imaging data were collected in our registry. To assess early ischemic changes, initial CT head scan before IV tPA was analyzed according to the ASPECT Score. Types of hemorrhagic transformation after reperfusion treatment were classified according to the European Cooperative Acute Stroke Study classification.23 According to the National Institute of Neurological Disorders and Stroke tPA trials, a symptomatic intracerebral hemorrhage was defined as a new-onset hemorrhage accompanied by any decline in neurologic status.21 Stroke severity was assessed using the NIHSS at the following time points: admission, end of IV rtPA infusion, at 24 hours, and at 7 days after stroke onset. The mRS was evaluated 90 days after CAS. Successful recanalization was defined as modified TICI grade ≥ 2b.24 Favorable outcome was defined as a 90-days mRS of ≤ 2. Three-month and twelve-month or longer stent patency was assessed by carotid ultrasound and/or CT angiography of neck. Stent restenosis was defined as ≥ 50% diameter, reducing stenosis or occlusion.25\nEthics statement This study was approved by the ethics committee of the Keimyung University Dongsan Medical Center (No. 2021-05-068), and written informed consent was waived due to the retrospective study design.\nThis study was approved by the ethics committee of the Keimyung University Dongsan Medical Center (No. 2021-05-068), and written informed consent was waived due to the retrospective study design.", "Our study subjects were collected from the prospective CAS registry of a single stroke center at a tertiary medical institution. From November 2005 to October 2020, patients treated with IV rtPA up to 4.5 hours following ischemic stroke and who underwent urgent CAS due to high-grade proximal ICA stenosis or ICA occlusion were enrolled. Initially, treatment with IV rtPA within 3 hours of symptom onset was required, and after the European Cooperative Acute Stroke Study III published their criteria, this time window was extended to 4.5 hours.2 Patients considered for endovascular recanalization therapy met the following criteria: 1) initial National Institutes of Health Stroke Scale (NIHSS) score ≥ 4 after administration of IV rtPA, 2) computed tomography (CT) signs of ischemia that affected less than one-third of the MCA territory, 3) an angiographically documented cervical ICA occlusion or severe stenosis (≥ 90% NASCET) with or without intracranial artery occlusion. Patients were excluded if they met the following criteria: 1) pre-modified Rankin Scale (mRS) score ≥ 2; 2) dissection of the ICA; 3) chronic ICA occlusion; and 4) systemic diseases with a life expectancy of ≤ 1 year.", "Before receiving IV rtPA, all patients were initially examined using CT and CT angiography to exclude hemorrhagic stroke.1920 According to clinician’s discretion, the patients were administered IV rtPA at a dose 0.6 mg/kg or 0.9 mg/kg.2122 All endovascular treatment procedures were performed via femoral access under conscious sedation. After the diagnostic angiograms, an 8- or 9 French guide catheter was advanced to the ipsilateral common carotid artery. If the ICA was completely occluded at the origin, the lesion was traversed with a microcatheter over a micro guidewire. To verify the passage into the true lumen, evaluate the length of the occlusive lesion for stent placing purposes, and assess the presence and extent of intraluminal thrombus, a microcatheter injection was performed. After confirming the lumen by injection from the microcatheter, the microguidewire was exchanged for an exchange wire. A proximal or distal embolic protection device was used in all the cases. After pre-stenting balloon angioplasty, CAS was performed with Acculink (Guidant), WALLSTENT (Boston Scientific, Natick, MA, USA), Cristallo Ideale (INVATEC), or Protege (ev3 Neurovascular). Post-stenting balloon angioplasty was performed when there was residual severe stenosis. Subsequently, an intracranial angiogram was performed to confirm intracranial occlusion. If intracranial arterial occlusion persisted after proximal revascularization, it was either treated with the Penumbra system, the Solitaire stent–based recanalization system, or a combination of mechanical recanalization and intra-arterial thrombolysis. Based on clinician’s discretion, intracranial thrombectomy was performed after angioplasty for the proximal ICA lesion, followed by CAS. After the intervention, immediate postprocedural brain CT was obtained. Unless apparent hemorrhagic transformation was detected, aspirin monotherapy or combined aspirin and clopidogrel was used to prevent stent thrombosis. Follow-up CT imaging was performed 24 hours after the procedure or whenever clinical worsening occurred. Patients were monitored in the intensive stroke care unit.", "Age, sex, vascular risk factors, list of current medications, and clinical and imaging data were collected in our registry. To assess early ischemic changes, initial CT head scan before IV tPA was analyzed according to the ASPECT Score. Types of hemorrhagic transformation after reperfusion treatment were classified according to the European Cooperative Acute Stroke Study classification.23 According to the National Institute of Neurological Disorders and Stroke tPA trials, a symptomatic intracerebral hemorrhage was defined as a new-onset hemorrhage accompanied by any decline in neurologic status.21 Stroke severity was assessed using the NIHSS at the following time points: admission, end of IV rtPA infusion, at 24 hours, and at 7 days after stroke onset. The mRS was evaluated 90 days after CAS. Successful recanalization was defined as modified TICI grade ≥ 2b.24 Favorable outcome was defined as a 90-days mRS of ≤ 2. Three-month and twelve-month or longer stent patency was assessed by carotid ultrasound and/or CT angiography of neck. Stent restenosis was defined as ≥ 50% diameter, reducing stenosis or occlusion.25", "This study was approved by the ethics committee of the Keimyung University Dongsan Medical Center (No. 2021-05-068), and written informed consent was waived due to the retrospective study design.", "Nineteen patients with hyperacute stroke underwent emergent CAS after IV rtPA administration (Fig. 1). Patient demographics and procedure-related information are shown in Tables 1 and 2. The median age was 70 years (interquartile range 68–74). There were 18 men (94.7%) and one woman (5.3%). Vascular risk factors for stroke included hypertension (73.7%), diabetes (26.3%), hyperlipidemia (26.3%), atrial fibrillation (15.8%), and smoking (42.1%). The mean ASPECTS was 9 (8–10). Initial brain CT showed involvement of less than 1/3 of the MCA territory in all patients. The median initial NIHSS score was 14 (range, 10–17). All patients had an NIHSS score of at least 6 on admission. After 24 hours and 7 days of CAS, the median NIHSS scores were 4 (3–10) and 3 (2–10), respectively. The NIHSS score improved in 17 of 19 patients after 7 days of CAS. Patient No. 2 had no change in NIHSS score, and patient No. 9 died of sudden cardiac arrest at 3 days after CAS. The mean time from stroke onset to IV rtPA infusion and stroke onset to groin puncture were 94 (57–163) min and 190 (127–231) minutes, respectively (Table 3). Eleven patients received IV rtPA at a dose of 0.6 mg/kg, and eight patients were given 0.9 mg/kg.\nIV = intravenous, rtPA = recombinant tissue plasminogen activator, CAS = carotid artery stenting, ICA = internal carotid artery.\naInitially, treatment with IV rtPA within 3 hours of symptom onset, and after the ECASS III published their criteria, this time window was extended to 4.5 hours\nNIHSS = National Institutes of Health Stroke Scale, IV rtPA = intravenous recombinant tissue plasminogen activator, ICA = internal carotid artery, HTN = hypertension, M1 = M1 portion of the MCA, AF = atrial fibrillation, M2 = M2 portion of the MCA, PH = parenchymal hemoatoma, HL = hyperlipidemia, HI = hemorrhagic infarction, DM = diabetes mellitus.\nIV rtPA = intravenous recombinant tissue plasminogen activator, IA = intra-arterial, mTICI = modified TICI, ECASS = European Cooperative Acute Stroke Study, PSV = peak systolic velocity, CTA = computed tomography angiography, NIHSS = National Institutes of Health Stroke Scale, mRS = modified Rankin Scale, ISR = in stent restenosis, PH1 = Parenchymal hematoma type 1, HI2 = hemorrhage infarction type 2, TIO = tandem intracranial occlusion.\nValues are median (IQR) or n/N (%).\nNIHSS = National Institutes of Health Stroke Scale, CAS = carotid artery stenting, IV rtPA = intravenous recombinant tissue plasminogen activator, mTICI = modified TICI, mRS = modified Rankin Scale.\nOf the 19 patients, 18 (94.7%) successfully underwent CAS, and the proximal ICA was recanalized. Patient No. 17 underwent a surgical procedure to remove the distal protection device that had entangled during CAS and subsequent urgent carotid endarterectomy. Fortunately, the proximal carotid artery was successfully recanalized after carotid endarterectomy. Of the 19 patients, 15 (78.9%) showed an additional intracranial occlusion after flow restoration in the proximal ICA: at the level of the distal ICA (n = 3), MCA M1 (n = 9), and MCA M2 (n = 3). In 4 patients, additional intracranial thrombectomy was not performed because of no tandem lesion (Table 1). After the procedure, modified TICI grade ≥ 2b was achieved in 11 patients (11/15, 73.3%). Of the 11 patients, 3 (27.3%) were classified as modified TICI grade 3 and 8 patients (72.7%) as grade 2b (Tables 2 and 3). During the emergency CAS, a balloon guide catheter was used in 6 cases (31.6%), and a distal protection device was used in 15 cases (78.9%). Pre-stenting balloon angioplasty was performed in 16 cases (84.2%) and post-stenting balloon angioplasty in 2 cases (10.5%).\nImmediate post-procedural brain CT revealed hemorrhagic transformation in five patients (26.3%). Four patients (21.1%) were classified as having hemorrhagic infarction type 2, and one patient (5.3%) had parenchymal hematoma type 1. However, only patient No. 4 was symptomatic (Table 2). Five patients with hemorrhagic transformation and one (patient No. 17) who had undergone carotid endarterectomy were not administered antiplatelet agent within 24 hours (Table 1). Within 24 hours after the CAS, three patients were administered a single antiplatelet therapy and 10 were administered dual antiplatelet agents. Eleven patients (57.9%) had favorable outcomes at 90 days. The 90-day mortality rate was 5.3% (patient No. 9). Excluding the deceased (patient No. 9) and the carotid endarterectomy case (patient No. 17), 16 out of 17 patients (94.1%) maintained stent patency for a period of 12 months or longer (Tables 2 and 3).", "Emergency revascularization for an occluded or severely stenotic proximal ICA is recognized as a challenging procedure in acute stroke interventions.101112131415 In patients with acute cerebral infarction due to severe stenosis or occlusion of the proximal ICA, IV rtPA alone has been reported to be less effective, and its morbidity and mortality rates are higher than those of conventional therapy.2627 The occluded segment of the ICA consists predominantly of atherosclerotic plaques and a superimposed thrombus; hence, it does not provide an ideal substrate for thrombolytics alone.2829 The pathophysiologic processes involved in occlusion of the proximal ICA are similar to those observed in acute occlusion of the coronary arteries. In acute myocardial infarction, primary stent placement has provided the best treatment outcomes.30 Previous studies have shown that emergent CAS is effective and relatively safe for the treatment of acute stroke caused by atherosclerotic cervical ICA stenosis or occlusions.101112131415 As far as the authors know, there is no case series about acute CAS only for patients who used IV rtPA. Compared with earlier studies, we also demonstrated successful recanalization (modified TICI ≥ 2b) rate (73.3%) and favorable clinical outcome (mRS 0–2 at 90 days, 57.9%), similar to that of the other studies with ranges from 63–86% and 29.2–72%, respectively. Our study also had lower mortality (5.3%) and incidence of ICH (5.3%) compared to other studies. In particular, the incidence of ICH was 5.3%, similar to rtPA or CAS independently. The risk of ICH with rtPA alone is 6–8%221; the risk of all ICH after CAS in patients with symptomatic carotid stenosis is typically 4.4–5%.3132 This may reflect that all patients arrived at the hospital within 4.5 hours of symptom onset and had a shorter onset to puncture time (mean 190 minutes). Moreover, our study had relatively lower NIHSS scores (Table 4).\nNIHSS = National Institutes of Health Stroke Scale, IV rtPA = intravenous recombinant tissue plasminogen activator, ICA = internal carotid artery, CAS = carotid artery stenting, mTICI = modified TICI, ICH = intracerebral hemorrhage, mRS = modified Rankin Scale, sICH = symptomatic intracerebral hemorrhage, PH = parenchymal hemorrhage, ND = not described, asICH = asymptomatic intracerebral hemorrhage.\naMedian (interquartile range); bmean ± standard deviation; cAt 30 days.\nAntithrombotic therapy is required after CAS. Generally, the double antiplatelet regimen is highly recommended before and after CAS in order to prevent stent thrombosis and occlusion.101112131415 Our major concern about the safety of emergent CAS after IV rtPA therapy is that previous systemic thrombolysis might increase the risk of hemorrhagic transformation. Further, it is generally accepted that the administration of any antithrombotic drugs within 24 hours after IV rtPA therapy is contraindicated because of the risk of bleeding complications.28 Relevant evidence for this principle comes from a randomized controlled trial in which IV aspirin was administered after IV thrombolysis.33 This study showed that IV administration of 300 mg aspirin within 90 minutes after the start of IV rtPA did not improve functional outcome at 3 months but increased the risk of hemorrhagic complications. However, this result is limited to the overly rapid administration of IV aspirin (67 ± 25 minutes after IV rtPA). Generally, rtPA is rapidly removed from the plasma, with an initial half-life of less than 5 minutes.34 Thus, the risk of hemorrhage due to rtPA itself can be neglected after several hours. In a retrospective analysis of consecutive ischemic stroke patients, Jeong et al.35 found no increased risk of hemorrhage with early initiation of antiplatelet or anticoagulant therapy (< 24 hours) after IV rtPA compared with initiation > 24 hours. According to the updated American Stroke Association/American Heart Association Guidelines 2018 for the early management of patients with acute ischemic stroke, antithrombotic therapy (other than IV aspirin) within the first 24 hours after treatment with IV rtPA (with or without mechanical thrombectomy) might be considered in the presence of concomitant conditions for which such treatment given in the absence of IV rtPA is known to provide substantial benefit or withholding such treatment is known to cause substantial risk (CLASS of recommendation IIb - weak, Level of evidence B-Nonrandomized).36 Sallustio et al.37 performed a small case series study on the safety and durability of early CAS after IV rtPA for acute ischemic stroke. The authors suggested that CAS may be considered a safe treatment modality after IV rtPA in selected patients at high risk of stroke recurrence due to severe atherosclerosis in the carotid artery. However, they used a different study protocol: CAS was performed at least 24 hours after IV rtPA (with a median onset-to-CAS time of 2.5 days) and dual antiplatelet were administered before CAS and then for 6 weeks; afterward, only a single antiplatelet was prescribed.37 In our study, 13 patients without contraindication were administered antiplatelet agents to prevent stent thrombosis immediately after CAS. The rtPA may be cleared during the endovascular procedure, and it can be assumed that the risk of hemorrhage was not higher when antiplatelet drugs were administered. From a different point of view, although the rtPA has a short half-life, we should consider the downstream effects of rtPA. It can last well over 24 hours and lead to the increased risk of ICH.3334 Additionally, our data provide three-month and twelve-month or longer stent patency. Most of our patients (94.1%) maintained stent patency for a period of 12 months or longer.\nOur study had several limitations, such as its retrospective, non-controlled design, and relatively small sample size. Additionally, endovascular treatment modalities varied over the time course of our series. Further prospective and randomized trials are needed to test whether this technique is the best treatment strategy.\nIn conclusion, we suggest that emergent CAS after IV rtPA therapy for hyperacute stroke caused by atherosclerotic proximal ICA stenosis or occlusion may be feasible and safe with long-term durability." ]
[ "intro", "methods", null, null, null, null, "results", "discussion" ]
[ "Hyperacute Stroke", "Intravenous Thrombolysis", "Endovascular Therapy", "Carotid Artery Stenting", "Stent Thrombosis", "Antiplatelet" ]
INTRODUCTION: Intravenous (IV) thrombolysis with recombinant tissue plasminogen activator (rtPA) is employed in recanalizing thrombosed intracranial vessels such as the internal carotid artery (ICA), middle cerebral artery (MCA), and its branches within 4.5 hours.123 Although the incidence and management of early recurrent ischemic stroke after IV administration of rtPA have not been extensively investigated, patients with stroke due to carotid artery atherosclerosis carry the highest risk of recurrence.4 Hence, the optimal treatment for patients with hyperacute stroke caused by stenosis or occlusion of the proximal ICA remains controversial. In addition, these patients frequently experience tandem intracranial artery occlusion. Tandem distal ICA and MCA occlusions independently predict resistance to IV rtPA therapy and are thus predictors for poor outcomes.56789 Treating acute stroke due to steno-occlusion of the corresponding proximal ICA with emergent carotid artery stenting (CAS) can lead to improvement of acute stroke symptoms, prevent further neurological deterioration, and reduce long-term recurrent stroke risk.101112131415 A combination of IV tPA and early CAS might be feasible treatment strategy.3161718 However, the risk of intracranial hemorrhage associated with early reperfusion might be increased during the first 24 hours after IV rtPA administration, and the American Stroke Association/American Heart Association advise against the use of antiplatelet agents during this time because of increased bleeding complications.1617 Nevertheless clinicians employ double antiplatelet regimen after CAS to prevent stent occlusion.31718 Therefore, the feasibility and safety of combining IV tPA and emergent CAS remains unmet need. The aim of our study was to evaluate the feasibility and safety of the combination therapy of IV rtPA and early CAS in patients with hyperacute ischemic stroke due to ICA steno-occlusion. METHODS: Patient selection Our study subjects were collected from the prospective CAS registry of a single stroke center at a tertiary medical institution. From November 2005 to October 2020, patients treated with IV rtPA up to 4.5 hours following ischemic stroke and who underwent urgent CAS due to high-grade proximal ICA stenosis or ICA occlusion were enrolled. Initially, treatment with IV rtPA within 3 hours of symptom onset was required, and after the European Cooperative Acute Stroke Study III published their criteria, this time window was extended to 4.5 hours.2 Patients considered for endovascular recanalization therapy met the following criteria: 1) initial National Institutes of Health Stroke Scale (NIHSS) score ≥ 4 after administration of IV rtPA, 2) computed tomography (CT) signs of ischemia that affected less than one-third of the MCA territory, 3) an angiographically documented cervical ICA occlusion or severe stenosis (≥ 90% NASCET) with or without intracranial artery occlusion. Patients were excluded if they met the following criteria: 1) pre-modified Rankin Scale (mRS) score ≥ 2; 2) dissection of the ICA; 3) chronic ICA occlusion; and 4) systemic diseases with a life expectancy of ≤ 1 year. Our study subjects were collected from the prospective CAS registry of a single stroke center at a tertiary medical institution. From November 2005 to October 2020, patients treated with IV rtPA up to 4.5 hours following ischemic stroke and who underwent urgent CAS due to high-grade proximal ICA stenosis or ICA occlusion were enrolled. Initially, treatment with IV rtPA within 3 hours of symptom onset was required, and after the European Cooperative Acute Stroke Study III published their criteria, this time window was extended to 4.5 hours.2 Patients considered for endovascular recanalization therapy met the following criteria: 1) initial National Institutes of Health Stroke Scale (NIHSS) score ≥ 4 after administration of IV rtPA, 2) computed tomography (CT) signs of ischemia that affected less than one-third of the MCA territory, 3) an angiographically documented cervical ICA occlusion or severe stenosis (≥ 90% NASCET) with or without intracranial artery occlusion. Patients were excluded if they met the following criteria: 1) pre-modified Rankin Scale (mRS) score ≥ 2; 2) dissection of the ICA; 3) chronic ICA occlusion; and 4) systemic diseases with a life expectancy of ≤ 1 year. Acute reperfusion therapy Before receiving IV rtPA, all patients were initially examined using CT and CT angiography to exclude hemorrhagic stroke.1920 According to clinician’s discretion, the patients were administered IV rtPA at a dose 0.6 mg/kg or 0.9 mg/kg.2122 All endovascular treatment procedures were performed via femoral access under conscious sedation. After the diagnostic angiograms, an 8- or 9 French guide catheter was advanced to the ipsilateral common carotid artery. If the ICA was completely occluded at the origin, the lesion was traversed with a microcatheter over a micro guidewire. To verify the passage into the true lumen, evaluate the length of the occlusive lesion for stent placing purposes, and assess the presence and extent of intraluminal thrombus, a microcatheter injection was performed. After confirming the lumen by injection from the microcatheter, the microguidewire was exchanged for an exchange wire. A proximal or distal embolic protection device was used in all the cases. After pre-stenting balloon angioplasty, CAS was performed with Acculink (Guidant), WALLSTENT (Boston Scientific, Natick, MA, USA), Cristallo Ideale (INVATEC), or Protege (ev3 Neurovascular). Post-stenting balloon angioplasty was performed when there was residual severe stenosis. Subsequently, an intracranial angiogram was performed to confirm intracranial occlusion. If intracranial arterial occlusion persisted after proximal revascularization, it was either treated with the Penumbra system, the Solitaire stent–based recanalization system, or a combination of mechanical recanalization and intra-arterial thrombolysis. Based on clinician’s discretion, intracranial thrombectomy was performed after angioplasty for the proximal ICA lesion, followed by CAS. After the intervention, immediate postprocedural brain CT was obtained. Unless apparent hemorrhagic transformation was detected, aspirin monotherapy or combined aspirin and clopidogrel was used to prevent stent thrombosis. Follow-up CT imaging was performed 24 hours after the procedure or whenever clinical worsening occurred. Patients were monitored in the intensive stroke care unit. Before receiving IV rtPA, all patients were initially examined using CT and CT angiography to exclude hemorrhagic stroke.1920 According to clinician’s discretion, the patients were administered IV rtPA at a dose 0.6 mg/kg or 0.9 mg/kg.2122 All endovascular treatment procedures were performed via femoral access under conscious sedation. After the diagnostic angiograms, an 8- or 9 French guide catheter was advanced to the ipsilateral common carotid artery. If the ICA was completely occluded at the origin, the lesion was traversed with a microcatheter over a micro guidewire. To verify the passage into the true lumen, evaluate the length of the occlusive lesion for stent placing purposes, and assess the presence and extent of intraluminal thrombus, a microcatheter injection was performed. After confirming the lumen by injection from the microcatheter, the microguidewire was exchanged for an exchange wire. A proximal or distal embolic protection device was used in all the cases. After pre-stenting balloon angioplasty, CAS was performed with Acculink (Guidant), WALLSTENT (Boston Scientific, Natick, MA, USA), Cristallo Ideale (INVATEC), or Protege (ev3 Neurovascular). Post-stenting balloon angioplasty was performed when there was residual severe stenosis. Subsequently, an intracranial angiogram was performed to confirm intracranial occlusion. If intracranial arterial occlusion persisted after proximal revascularization, it was either treated with the Penumbra system, the Solitaire stent–based recanalization system, or a combination of mechanical recanalization and intra-arterial thrombolysis. Based on clinician’s discretion, intracranial thrombectomy was performed after angioplasty for the proximal ICA lesion, followed by CAS. After the intervention, immediate postprocedural brain CT was obtained. Unless apparent hemorrhagic transformation was detected, aspirin monotherapy or combined aspirin and clopidogrel was used to prevent stent thrombosis. Follow-up CT imaging was performed 24 hours after the procedure or whenever clinical worsening occurred. Patients were monitored in the intensive stroke care unit. Outcome assessment Age, sex, vascular risk factors, list of current medications, and clinical and imaging data were collected in our registry. To assess early ischemic changes, initial CT head scan before IV tPA was analyzed according to the ASPECT Score. Types of hemorrhagic transformation after reperfusion treatment were classified according to the European Cooperative Acute Stroke Study classification.23 According to the National Institute of Neurological Disorders and Stroke tPA trials, a symptomatic intracerebral hemorrhage was defined as a new-onset hemorrhage accompanied by any decline in neurologic status.21 Stroke severity was assessed using the NIHSS at the following time points: admission, end of IV rtPA infusion, at 24 hours, and at 7 days after stroke onset. The mRS was evaluated 90 days after CAS. Successful recanalization was defined as modified TICI grade ≥ 2b.24 Favorable outcome was defined as a 90-days mRS of ≤ 2. Three-month and twelve-month or longer stent patency was assessed by carotid ultrasound and/or CT angiography of neck. Stent restenosis was defined as ≥ 50% diameter, reducing stenosis or occlusion.25 Age, sex, vascular risk factors, list of current medications, and clinical and imaging data were collected in our registry. To assess early ischemic changes, initial CT head scan before IV tPA was analyzed according to the ASPECT Score. Types of hemorrhagic transformation after reperfusion treatment were classified according to the European Cooperative Acute Stroke Study classification.23 According to the National Institute of Neurological Disorders and Stroke tPA trials, a symptomatic intracerebral hemorrhage was defined as a new-onset hemorrhage accompanied by any decline in neurologic status.21 Stroke severity was assessed using the NIHSS at the following time points: admission, end of IV rtPA infusion, at 24 hours, and at 7 days after stroke onset. The mRS was evaluated 90 days after CAS. Successful recanalization was defined as modified TICI grade ≥ 2b.24 Favorable outcome was defined as a 90-days mRS of ≤ 2. Three-month and twelve-month or longer stent patency was assessed by carotid ultrasound and/or CT angiography of neck. Stent restenosis was defined as ≥ 50% diameter, reducing stenosis or occlusion.25 Ethics statement This study was approved by the ethics committee of the Keimyung University Dongsan Medical Center (No. 2021-05-068), and written informed consent was waived due to the retrospective study design. This study was approved by the ethics committee of the Keimyung University Dongsan Medical Center (No. 2021-05-068), and written informed consent was waived due to the retrospective study design. Patient selection: Our study subjects were collected from the prospective CAS registry of a single stroke center at a tertiary medical institution. From November 2005 to October 2020, patients treated with IV rtPA up to 4.5 hours following ischemic stroke and who underwent urgent CAS due to high-grade proximal ICA stenosis or ICA occlusion were enrolled. Initially, treatment with IV rtPA within 3 hours of symptom onset was required, and after the European Cooperative Acute Stroke Study III published their criteria, this time window was extended to 4.5 hours.2 Patients considered for endovascular recanalization therapy met the following criteria: 1) initial National Institutes of Health Stroke Scale (NIHSS) score ≥ 4 after administration of IV rtPA, 2) computed tomography (CT) signs of ischemia that affected less than one-third of the MCA territory, 3) an angiographically documented cervical ICA occlusion or severe stenosis (≥ 90% NASCET) with or without intracranial artery occlusion. Patients were excluded if they met the following criteria: 1) pre-modified Rankin Scale (mRS) score ≥ 2; 2) dissection of the ICA; 3) chronic ICA occlusion; and 4) systemic diseases with a life expectancy of ≤ 1 year. Acute reperfusion therapy: Before receiving IV rtPA, all patients were initially examined using CT and CT angiography to exclude hemorrhagic stroke.1920 According to clinician’s discretion, the patients were administered IV rtPA at a dose 0.6 mg/kg or 0.9 mg/kg.2122 All endovascular treatment procedures were performed via femoral access under conscious sedation. After the diagnostic angiograms, an 8- or 9 French guide catheter was advanced to the ipsilateral common carotid artery. If the ICA was completely occluded at the origin, the lesion was traversed with a microcatheter over a micro guidewire. To verify the passage into the true lumen, evaluate the length of the occlusive lesion for stent placing purposes, and assess the presence and extent of intraluminal thrombus, a microcatheter injection was performed. After confirming the lumen by injection from the microcatheter, the microguidewire was exchanged for an exchange wire. A proximal or distal embolic protection device was used in all the cases. After pre-stenting balloon angioplasty, CAS was performed with Acculink (Guidant), WALLSTENT (Boston Scientific, Natick, MA, USA), Cristallo Ideale (INVATEC), or Protege (ev3 Neurovascular). Post-stenting balloon angioplasty was performed when there was residual severe stenosis. Subsequently, an intracranial angiogram was performed to confirm intracranial occlusion. If intracranial arterial occlusion persisted after proximal revascularization, it was either treated with the Penumbra system, the Solitaire stent–based recanalization system, or a combination of mechanical recanalization and intra-arterial thrombolysis. Based on clinician’s discretion, intracranial thrombectomy was performed after angioplasty for the proximal ICA lesion, followed by CAS. After the intervention, immediate postprocedural brain CT was obtained. Unless apparent hemorrhagic transformation was detected, aspirin monotherapy or combined aspirin and clopidogrel was used to prevent stent thrombosis. Follow-up CT imaging was performed 24 hours after the procedure or whenever clinical worsening occurred. Patients were monitored in the intensive stroke care unit. Outcome assessment: Age, sex, vascular risk factors, list of current medications, and clinical and imaging data were collected in our registry. To assess early ischemic changes, initial CT head scan before IV tPA was analyzed according to the ASPECT Score. Types of hemorrhagic transformation after reperfusion treatment were classified according to the European Cooperative Acute Stroke Study classification.23 According to the National Institute of Neurological Disorders and Stroke tPA trials, a symptomatic intracerebral hemorrhage was defined as a new-onset hemorrhage accompanied by any decline in neurologic status.21 Stroke severity was assessed using the NIHSS at the following time points: admission, end of IV rtPA infusion, at 24 hours, and at 7 days after stroke onset. The mRS was evaluated 90 days after CAS. Successful recanalization was defined as modified TICI grade ≥ 2b.24 Favorable outcome was defined as a 90-days mRS of ≤ 2. Three-month and twelve-month or longer stent patency was assessed by carotid ultrasound and/or CT angiography of neck. Stent restenosis was defined as ≥ 50% diameter, reducing stenosis or occlusion.25 Ethics statement: This study was approved by the ethics committee of the Keimyung University Dongsan Medical Center (No. 2021-05-068), and written informed consent was waived due to the retrospective study design. RESULTS: Nineteen patients with hyperacute stroke underwent emergent CAS after IV rtPA administration (Fig. 1). Patient demographics and procedure-related information are shown in Tables 1 and 2. The median age was 70 years (interquartile range 68–74). There were 18 men (94.7%) and one woman (5.3%). Vascular risk factors for stroke included hypertension (73.7%), diabetes (26.3%), hyperlipidemia (26.3%), atrial fibrillation (15.8%), and smoking (42.1%). The mean ASPECTS was 9 (8–10). Initial brain CT showed involvement of less than 1/3 of the MCA territory in all patients. The median initial NIHSS score was 14 (range, 10–17). All patients had an NIHSS score of at least 6 on admission. After 24 hours and 7 days of CAS, the median NIHSS scores were 4 (3–10) and 3 (2–10), respectively. The NIHSS score improved in 17 of 19 patients after 7 days of CAS. Patient No. 2 had no change in NIHSS score, and patient No. 9 died of sudden cardiac arrest at 3 days after CAS. The mean time from stroke onset to IV rtPA infusion and stroke onset to groin puncture were 94 (57–163) min and 190 (127–231) minutes, respectively (Table 3). Eleven patients received IV rtPA at a dose of 0.6 mg/kg, and eight patients were given 0.9 mg/kg. IV = intravenous, rtPA = recombinant tissue plasminogen activator, CAS = carotid artery stenting, ICA = internal carotid artery. aInitially, treatment with IV rtPA within 3 hours of symptom onset, and after the ECASS III published their criteria, this time window was extended to 4.5 hours NIHSS = National Institutes of Health Stroke Scale, IV rtPA = intravenous recombinant tissue plasminogen activator, ICA = internal carotid artery, HTN = hypertension, M1 = M1 portion of the MCA, AF = atrial fibrillation, M2 = M2 portion of the MCA, PH = parenchymal hemoatoma, HL = hyperlipidemia, HI = hemorrhagic infarction, DM = diabetes mellitus. IV rtPA = intravenous recombinant tissue plasminogen activator, IA = intra-arterial, mTICI = modified TICI, ECASS = European Cooperative Acute Stroke Study, PSV = peak systolic velocity, CTA = computed tomography angiography, NIHSS = National Institutes of Health Stroke Scale, mRS = modified Rankin Scale, ISR = in stent restenosis, PH1 = Parenchymal hematoma type 1, HI2 = hemorrhage infarction type 2, TIO = tandem intracranial occlusion. Values are median (IQR) or n/N (%). NIHSS = National Institutes of Health Stroke Scale, CAS = carotid artery stenting, IV rtPA = intravenous recombinant tissue plasminogen activator, mTICI = modified TICI, mRS = modified Rankin Scale. Of the 19 patients, 18 (94.7%) successfully underwent CAS, and the proximal ICA was recanalized. Patient No. 17 underwent a surgical procedure to remove the distal protection device that had entangled during CAS and subsequent urgent carotid endarterectomy. Fortunately, the proximal carotid artery was successfully recanalized after carotid endarterectomy. Of the 19 patients, 15 (78.9%) showed an additional intracranial occlusion after flow restoration in the proximal ICA: at the level of the distal ICA (n = 3), MCA M1 (n = 9), and MCA M2 (n = 3). In 4 patients, additional intracranial thrombectomy was not performed because of no tandem lesion (Table 1). After the procedure, modified TICI grade ≥ 2b was achieved in 11 patients (11/15, 73.3%). Of the 11 patients, 3 (27.3%) were classified as modified TICI grade 3 and 8 patients (72.7%) as grade 2b (Tables 2 and 3). During the emergency CAS, a balloon guide catheter was used in 6 cases (31.6%), and a distal protection device was used in 15 cases (78.9%). Pre-stenting balloon angioplasty was performed in 16 cases (84.2%) and post-stenting balloon angioplasty in 2 cases (10.5%). Immediate post-procedural brain CT revealed hemorrhagic transformation in five patients (26.3%). Four patients (21.1%) were classified as having hemorrhagic infarction type 2, and one patient (5.3%) had parenchymal hematoma type 1. However, only patient No. 4 was symptomatic (Table 2). Five patients with hemorrhagic transformation and one (patient No. 17) who had undergone carotid endarterectomy were not administered antiplatelet agent within 24 hours (Table 1). Within 24 hours after the CAS, three patients were administered a single antiplatelet therapy and 10 were administered dual antiplatelet agents. Eleven patients (57.9%) had favorable outcomes at 90 days. The 90-day mortality rate was 5.3% (patient No. 9). Excluding the deceased (patient No. 9) and the carotid endarterectomy case (patient No. 17), 16 out of 17 patients (94.1%) maintained stent patency for a period of 12 months or longer (Tables 2 and 3). DISCUSSION: Emergency revascularization for an occluded or severely stenotic proximal ICA is recognized as a challenging procedure in acute stroke interventions.101112131415 In patients with acute cerebral infarction due to severe stenosis or occlusion of the proximal ICA, IV rtPA alone has been reported to be less effective, and its morbidity and mortality rates are higher than those of conventional therapy.2627 The occluded segment of the ICA consists predominantly of atherosclerotic plaques and a superimposed thrombus; hence, it does not provide an ideal substrate for thrombolytics alone.2829 The pathophysiologic processes involved in occlusion of the proximal ICA are similar to those observed in acute occlusion of the coronary arteries. In acute myocardial infarction, primary stent placement has provided the best treatment outcomes.30 Previous studies have shown that emergent CAS is effective and relatively safe for the treatment of acute stroke caused by atherosclerotic cervical ICA stenosis or occlusions.101112131415 As far as the authors know, there is no case series about acute CAS only for patients who used IV rtPA. Compared with earlier studies, we also demonstrated successful recanalization (modified TICI ≥ 2b) rate (73.3%) and favorable clinical outcome (mRS 0–2 at 90 days, 57.9%), similar to that of the other studies with ranges from 63–86% and 29.2–72%, respectively. Our study also had lower mortality (5.3%) and incidence of ICH (5.3%) compared to other studies. In particular, the incidence of ICH was 5.3%, similar to rtPA or CAS independently. The risk of ICH with rtPA alone is 6–8%221; the risk of all ICH after CAS in patients with symptomatic carotid stenosis is typically 4.4–5%.3132 This may reflect that all patients arrived at the hospital within 4.5 hours of symptom onset and had a shorter onset to puncture time (mean 190 minutes). Moreover, our study had relatively lower NIHSS scores (Table 4). NIHSS = National Institutes of Health Stroke Scale, IV rtPA = intravenous recombinant tissue plasminogen activator, ICA = internal carotid artery, CAS = carotid artery stenting, mTICI = modified TICI, ICH = intracerebral hemorrhage, mRS = modified Rankin Scale, sICH = symptomatic intracerebral hemorrhage, PH = parenchymal hemorrhage, ND = not described, asICH = asymptomatic intracerebral hemorrhage. aMedian (interquartile range); bmean ± standard deviation; cAt 30 days. Antithrombotic therapy is required after CAS. Generally, the double antiplatelet regimen is highly recommended before and after CAS in order to prevent stent thrombosis and occlusion.101112131415 Our major concern about the safety of emergent CAS after IV rtPA therapy is that previous systemic thrombolysis might increase the risk of hemorrhagic transformation. Further, it is generally accepted that the administration of any antithrombotic drugs within 24 hours after IV rtPA therapy is contraindicated because of the risk of bleeding complications.28 Relevant evidence for this principle comes from a randomized controlled trial in which IV aspirin was administered after IV thrombolysis.33 This study showed that IV administration of 300 mg aspirin within 90 minutes after the start of IV rtPA did not improve functional outcome at 3 months but increased the risk of hemorrhagic complications. However, this result is limited to the overly rapid administration of IV aspirin (67 ± 25 minutes after IV rtPA). Generally, rtPA is rapidly removed from the plasma, with an initial half-life of less than 5 minutes.34 Thus, the risk of hemorrhage due to rtPA itself can be neglected after several hours. In a retrospective analysis of consecutive ischemic stroke patients, Jeong et al.35 found no increased risk of hemorrhage with early initiation of antiplatelet or anticoagulant therapy (< 24 hours) after IV rtPA compared with initiation > 24 hours. According to the updated American Stroke Association/American Heart Association Guidelines 2018 for the early management of patients with acute ischemic stroke, antithrombotic therapy (other than IV aspirin) within the first 24 hours after treatment with IV rtPA (with or without mechanical thrombectomy) might be considered in the presence of concomitant conditions for which such treatment given in the absence of IV rtPA is known to provide substantial benefit or withholding such treatment is known to cause substantial risk (CLASS of recommendation IIb - weak, Level of evidence B-Nonrandomized).36 Sallustio et al.37 performed a small case series study on the safety and durability of early CAS after IV rtPA for acute ischemic stroke. The authors suggested that CAS may be considered a safe treatment modality after IV rtPA in selected patients at high risk of stroke recurrence due to severe atherosclerosis in the carotid artery. However, they used a different study protocol: CAS was performed at least 24 hours after IV rtPA (with a median onset-to-CAS time of 2.5 days) and dual antiplatelet were administered before CAS and then for 6 weeks; afterward, only a single antiplatelet was prescribed.37 In our study, 13 patients without contraindication were administered antiplatelet agents to prevent stent thrombosis immediately after CAS. The rtPA may be cleared during the endovascular procedure, and it can be assumed that the risk of hemorrhage was not higher when antiplatelet drugs were administered. From a different point of view, although the rtPA has a short half-life, we should consider the downstream effects of rtPA. It can last well over 24 hours and lead to the increased risk of ICH.3334 Additionally, our data provide three-month and twelve-month or longer stent patency. Most of our patients (94.1%) maintained stent patency for a period of 12 months or longer. Our study had several limitations, such as its retrospective, non-controlled design, and relatively small sample size. Additionally, endovascular treatment modalities varied over the time course of our series. Further prospective and randomized trials are needed to test whether this technique is the best treatment strategy. In conclusion, we suggest that emergent CAS after IV rtPA therapy for hyperacute stroke caused by atherosclerotic proximal ICA stenosis or occlusion may be feasible and safe with long-term durability.
Background: Intravenous recombinant tissue plasminogen activator (IV rtPA) is the mainstay of treatment for acute ischemic stroke to recanalize thrombosed intracranial vessels within 4.5 hours. Emergency carotid artery stenting for the treatment of acute stroke due to steno-occlusion of the proximal internal carotid artery (ICA) can improve symptoms, prevent neurological deterioration, and reduce recurrent stroke risk. The feasibility and safety of the combination therapy of IV rtPA and urgent carotid artery stenting have not been established. Methods: From November 2005 to October 2020, we retrospectively assessed patients who had undergone emergent carotid artery stenting after IV rtPA for hyperacute ischemic stroke due to steno-occlusive proximal ICA lesion. Hemorrhagic transformation, successful recanalization, modified Rankin Scale (mRS) score at 90 days, and stent patency at 3 and 12 months or longer were evaluated. Favorable outcome was defined as a 90-days mRS score of ≤ 2. Results: Nineteen patients with hyperacute stroke had undergone emergent carotid artery stenting after IV rtPA therapy. Their median age was 70 (67.5-73.5) years (94.7% men). Among 15 patients with an additional intracranial occlusion after flow restoration in the proximal ICA, a modified TICI grade ≥ 2b was achieved in 11 patients (73.3%). Hemorrhagic transformation occurred in five patients (26.3%); mortality rate was 5.7%. Eleven patients (57.9%) had favorable outcomes at 90 days. Stent patients (94.1%) maintained stent patency for ≥ 12 months. Conclusions: We showed that emergent carotid artery stenting after IV rtPA therapy for hyperacute stroke caused by atherosclerotic proximal ICA steno-occlusion was feasible and safe.
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316
[ 224, 356, 197, 38 ]
8
[ "iv", "stroke", "rtpa", "patients", "cas", "iv rtpa", "ica", "occlusion", "hours", "performed" ]
[ "treating acute stroke", "stroke ica steno", "stroke carotid artery", "rtpa infusion stroke", "ischemic stroke ica" ]
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[CONTENT] Hyperacute Stroke | Intravenous Thrombolysis | Endovascular Therapy | Carotid Artery Stenting | Stent Thrombosis | Antiplatelet [SUMMARY]
[CONTENT] Hyperacute Stroke | Intravenous Thrombolysis | Endovascular Therapy | Carotid Artery Stenting | Stent Thrombosis | Antiplatelet [SUMMARY]
[CONTENT] Hyperacute Stroke | Intravenous Thrombolysis | Endovascular Therapy | Carotid Artery Stenting | Stent Thrombosis | Antiplatelet [SUMMARY]
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[CONTENT] Hyperacute Stroke | Intravenous Thrombolysis | Endovascular Therapy | Carotid Artery Stenting | Stent Thrombosis | Antiplatelet [SUMMARY]
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[CONTENT] Aged | Carotid Artery, Internal | Carotid Stenosis | Endovascular Procedures | Female | Humans | Ischemic Stroke | Male | Retrospective Studies | Stents | Thrombolytic Therapy | Tissue Plasminogen Activator | Treatment Outcome [SUMMARY]
[CONTENT] Aged | Carotid Artery, Internal | Carotid Stenosis | Endovascular Procedures | Female | Humans | Ischemic Stroke | Male | Retrospective Studies | Stents | Thrombolytic Therapy | Tissue Plasminogen Activator | Treatment Outcome [SUMMARY]
[CONTENT] Aged | Carotid Artery, Internal | Carotid Stenosis | Endovascular Procedures | Female | Humans | Ischemic Stroke | Male | Retrospective Studies | Stents | Thrombolytic Therapy | Tissue Plasminogen Activator | Treatment Outcome [SUMMARY]
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[CONTENT] Aged | Carotid Artery, Internal | Carotid Stenosis | Endovascular Procedures | Female | Humans | Ischemic Stroke | Male | Retrospective Studies | Stents | Thrombolytic Therapy | Tissue Plasminogen Activator | Treatment Outcome [SUMMARY]
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[CONTENT] treating acute stroke | stroke ica steno | stroke carotid artery | rtpa infusion stroke | ischemic stroke ica [SUMMARY]
[CONTENT] treating acute stroke | stroke ica steno | stroke carotid artery | rtpa infusion stroke | ischemic stroke ica [SUMMARY]
[CONTENT] treating acute stroke | stroke ica steno | stroke carotid artery | rtpa infusion stroke | ischemic stroke ica [SUMMARY]
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[CONTENT] treating acute stroke | stroke ica steno | stroke carotid artery | rtpa infusion stroke | ischemic stroke ica [SUMMARY]
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[CONTENT] iv | stroke | rtpa | patients | cas | iv rtpa | ica | occlusion | hours | performed [SUMMARY]
[CONTENT] iv | stroke | rtpa | patients | cas | iv rtpa | ica | occlusion | hours | performed [SUMMARY]
[CONTENT] iv | stroke | rtpa | patients | cas | iv rtpa | ica | occlusion | hours | performed [SUMMARY]
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[CONTENT] iv | stroke | rtpa | patients | cas | iv rtpa | ica | occlusion | hours | performed [SUMMARY]
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[CONTENT] stroke | iv | early | ica | artery | rtpa | cas | occlusion | feasibility | steno occlusion [SUMMARY]
[CONTENT] stroke | performed | ct | ica | defined | iv | occlusion | patients | following | intracranial [SUMMARY]
[CONTENT] patients | patient | 10 | 17 | carotid | nihss | cas | carotid endarterectomy | type | 15 [SUMMARY]
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[CONTENT] stroke | iv | patients | rtpa | ica | cas | iv rtpa | occlusion | performed | study [SUMMARY]
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[CONTENT] 4.5 hours ||| ICA ||| IV [SUMMARY]
[CONTENT] November 2005 to October 2020 | IV | ICA ||| Hemorrhagic | Rankin Scale | 90 days | 3 and 12 months ||| 90-days | 2 [SUMMARY]
[CONTENT] IV ||| 70 | 67.5-73.5 | 94.7% ||| 15 | ICA | ≥ 2b | 11 | 73.3% ||| Hemorrhagic | five | 26.3% | 5.7% ||| 57.9% | 90 days ||| 94.1% | ≥ | 12 months [SUMMARY]
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[CONTENT] 4.5 hours ||| ICA ||| IV ||| November 2005 to October 2020 | IV | ICA ||| Hemorrhagic | Rankin Scale | 90 days | 3 and 12 months ||| 90-days ||| Nineteen | IV ||| 70 | 67.5-73.5 | 94.7% ||| 15 | ICA | ≥ 2b | 11 | 73.3% ||| Hemorrhagic | five | 26.3% | 5.7% ||| 57.9% | 90 days ||| 94.1% | ≥ | 12 months ||| IV | ICA [SUMMARY]
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Death with functioning kidney transplant: an obituarial analysis.
20521168
Death with a functioning kidney graft (DWFG) is now a major cause of graft loss after renal transplantation, occurring in up to 40% of cases. Its occurrence provides insight into the medical care of subjects with a functioning kidney transplant. In this study, we used the time to DWFG as an endpoint, to test whether improved medical care has contributed to better kidney transplant outcomes.
BACKGROUND
We used single-center data from the Milwaukee Regional Medical Center and Froedtert Hospital, on kidney-only transplants from 1969 through 2005. A total of 3,157 kidney transplants were done at our center during this time. There were 714 deaths with functioning kidney. We also recorded the major causes of DWFG over the time period from 1969 through 2005 divided into 3 epochs. The data were analyzed as a serial collection of yearly obituaries.
METHODS
The time to DWFG has increased to 10 years despite a 20-year increase in the mean age of transplant recipients over the same time period.
RESULTS
Better pre-transplant evaluation, improved treatments for hypertension and hyperlipidemia, improved management of acute myocardial infarction, superior immunosuppressive protocols and better prophylaxis and treatment of infectious diseases have all likely contributed to this trend.
CONCLUSIONS
[ "Female", "Humans", "Kidney Transplantation", "Male", "Retrospective Studies" ]
2995205
Introduction
Kidney transplant survival has improved in recent years [1, 2]. This improvement is often credited to better immunosuppressive protocols, with reduced rejection rates and also lesser medication toxicity. But general medical care may also affect kidney transplant patient survival. This aspect of post-transplant care has not been well quantified, and its impact may be ignored if graft survival rates are censored for death with functioning graft. Yet, death with a functioning kidney graft (DWFG) is a major cause of graft loss after renal transplantation, occurring in 10–40% of transplants [3–6]. Because it does not consider loss of the kidney transplant and resumption of dialysis, time to DWFG does not incorporate graft loss due to immunological factors. Rather, time to DWFG may provide insight into post-transplant medical care. In this study, we used the time to DWFG as an endpoint, to test whether improved medical care has contributed to better kidney transplant outcomes.
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Results
In the time period from 1969 to 2005, there were 714 deaths with functioning kidney, 564 in subjects with deceased donor transplants. Of these 564 subjects, 65% were men and 35% were women recipients of deceased donor kidney transplant. Of the subjects with DWFG who had living donor transplants, 64% were men and 36% were women. There has been an increase in median time to DWFG from about one year in 1969 to 10 years in year 2005 (Fig. 1). During this same time, there was a 20-year increase in median age of kidney transplant recipients at time of transplant (Fig. 2). In addition, in epoch 1, (1969–1980), 5% of the kidney disease was caused by diabetes whereas in epoch 2 (1981–1992) and epoch 3 (1993–2005), respectively, 41% and 47% of the kidney disease was secondary to diabetes. For epochs 1, 2 and 3, hypertension was the underlying cause of kidney disease in 2%, 11% and 10% respectively. The increase in time to DWFG is 10 years over the same total time period. A separate analysis of deaths by epoch showed changes with time, notably a reduced proportion of death caused by infection (Fig. 3).Fig. 1Showing increasing median time to death with functioning graft (DWFG) from years 1969 through 2005 Fig. 2Showing an increasing median age at time of transplant with the each year of transplant Fig. 3Depicting changing trends in cause of death kidney transplant recipients in each of the three epochs (1969–1980; 1981–1992; 1993–2005) Showing increasing median time to death with functioning graft (DWFG) from years 1969 through 2005 Showing an increasing median age at time of transplant with the each year of transplant Depicting changing trends in cause of death kidney transplant recipients in each of the three epochs (1969–1980; 1981–1992; 1993–2005)
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[ "Introduction", "Methods", "Results", "Discussion" ]
[ "Kidney transplant survival has improved in recent years [1, 2]. This improvement is often credited to better immunosuppressive protocols, with reduced rejection rates and also lesser medication toxicity. But general medical care may also affect kidney transplant patient survival. This aspect of post-transplant care has not been well quantified, and its impact may be ignored if graft survival rates are censored for death with functioning graft. Yet, death with a functioning kidney graft (DWFG) is a major cause of graft loss after renal transplantation, occurring in 10–40% of transplants [3–6]. Because it does not consider loss of the kidney transplant and resumption of dialysis, time to DWFG does not incorporate graft loss due to immunological factors. Rather, time to DWFG may provide insight into post-transplant medical care. In this study, we used the time to DWFG as an endpoint, to test whether improved medical care has contributed to better kidney transplant outcomes.", "We used single-center data from the Milwaukee Regional Medical Center and Froedtert Hospital, on kidney-only transplants from 1969 through 2005. A total of 3,157 kidney transplants were done at our center during this time. The cause of ESRD was ascertained at the time of first encounter or listing and from the Form CMS 2728. There were 714 deaths with functioning kidney, 564 in subjects with deceased donor transplants. We also recorded the major causes of DWFG over the time period from 1969 through 2005 divided into 3 epochs. The cause of death was ascertained from the hospital records and death certificate information. The data were analyzed as a serial collection of yearly obituaries. That is, the median age at time of death was calculated for all subjects dying in a particular year, and those median ages were graphed as a function of year of death, rather than year of transplant. This method is realistic because it corresponds to day-to-day experience. It also eliminates confounding by less time of follow-up in more recent years. Finally, we obtained the general population mortality data from the State of Wisconsin for the years included in this study. The study is fully approved by the Human Research Review Committee of the Medical College of Wisconsin.", "In the time period from 1969 to 2005, there were 714 deaths with functioning kidney, 564 in subjects with deceased donor transplants. Of these 564 subjects, 65% were men and 35% were women recipients of deceased donor kidney transplant. Of the subjects with DWFG who had living donor transplants, 64% were men and 36% were women. There has been an increase in median time to DWFG from about one year in 1969 to 10 years in year 2005 (Fig. 1). During this same time, there was a 20-year increase in median age of kidney transplant recipients at time of transplant (Fig. 2). In addition, in epoch 1, (1969–1980), 5% of the kidney disease was caused by diabetes whereas in epoch 2 (1981–1992) and epoch 3 (1993–2005), respectively, 41% and 47% of the kidney disease was secondary to diabetes. For epochs 1, 2 and 3, hypertension was the underlying cause of kidney disease in 2%, 11% and 10% respectively. The increase in time to DWFG is 10 years over the same total time period. A separate analysis of deaths by epoch showed changes with time, notably a reduced proportion of death caused by infection (Fig. 3).Fig. 1Showing increasing median time to death with functioning graft (DWFG) from years 1969 through 2005\nFig. 2Showing an increasing median age at time of transplant with the each year of transplant\nFig. 3Depicting changing trends in cause of death kidney transplant recipients in each of the three epochs (1969–1980; 1981–1992; 1993–2005)\n\nShowing increasing median time to death with functioning graft (DWFG) from years 1969 through 2005\nShowing an increasing median age at time of transplant with the each year of transplant\nDepicting changing trends in cause of death kidney transplant recipients in each of the three epochs (1969–1980; 1981–1992; 1993–2005)", "These data show an increase in median time to death with functioning graft over the last 30 years despite the aging population of transplant recipients, and in the face of a substantial increase in the numbers of patients with diabetes as the cause of their kidney failure. Over the same time period as this study, the median age at death in general population of the State of Wisconsin for the same period has increased from age 73 to age 80 [7]. It is likely that the subjects of our study were helped by the medical care advances over this time, in a way that is parallel to the general population. A recent review of transplant outcomes in the elderly population by Saxena et al. have also highlighted better survival in elderly transplant recipients attributable to multiple factors [8].\nOjo et al. also showed improvement in survival of subjects with a functioning kidney transplant [6]. But this analysis was limited to the time period 1988 to 1997. Our cohort includes subjects before that time period and after it. In addition, while Ojo et al. reported a decline in DWFG in terms of risk reduction, our analysis additionally provides the immediately useful practical information of the actual number of years of patient survival with a functioning transplant.\nBetter pre-transplant evaluation, pre- and post-transplant cardiovascular risk factor modification and treatment, and better post-transplant care of infections are likely contributors to the increasing time to death with functioning graft.\nRecent reports show a significant reduction in coronary heart disease mortality in the general population in the year 2000 when compared to the year 1980 [9]. This effect is attributable equally to reduction in risk factors and use of evidence-based medical therapies. In the case of kidney transplant patients, the role of hyperlipidemia and other risk factors is similar to that of the general population [10]. There are additional risk factors in subjects with kidney transplants, such as the effect of reduced kidney function, which are not present in the general population. Nonetheless, death from IHD (Ischemic heart disease) in people with a kidney transplant is significantly associated with traditional risk factors of hypertension, increasing age, lower HDL, diabetes mellitus (DM), hypercholesterolemia, baseline congestive heart failure (CHF) and cardiovascular disease (CVD) history [10]. Ivens et al. concluded that the high incidence of CVD following renal transplant was mainly due to increased prevalence and accumulation of classic risk factors before and following transplant [11]. Since the cardiovascular disease in kidney transplant patients shares the same risk factors for cardiovascular disease as in general population, their modification, as observed in the general population, is expected to improve the cardiovascular disease outcomes [12].\nIndeed, the European ALERT extension study demonstrated a significant reduction in risk of cardiac death and non-fatal MI in renal transplant patients with moderate elevation in cholesterol treated with fluvastatin when compared to those treated with placebo [13]. An American study reported a 24% reduction in mortality in patients treated with statins when compared to placebo [14]. More recently, a study looking at a cohort of 2041 first-time renal transplant recipients from 1990 to 2003 reported improved survival in patients on statins when compared to not being on statins (HR (adj) 0.64, 95% CI 0.48–0.86) [15]. In confirmation of these reports, the USRDS in its 2007 annual data report shows significant improvement in 1- and 5-year survival of kidney transplant patients after a diagnosis of heart disease [16]. In neither the USRDS data nor in the present report can we confirm the role of statins because we have no stored data on their use. It is likely, however, that use of statins has increased steadily since 1985, which is at or about the time when time to death with functioning transplant began to increase (Fig. 1). Hypertension control appears to play a significant role in better kidney transplant survival. A cohort analysis from the Collaborative Transplant Study reported better kidney transplant survival and lesser cardiovascular deaths with control of the systolic blood pressure to less than 140 mm Hg [17]. Over the past three decades, control of the blood pressure has become more effective, and with less side effects. Use of angiotensin-converting enzyme inhibitors has increased steadily since the mid-1980s, coinciding with the upswing in time to death with functioning graft (Fig. 1) This aspect of cardiovascular risk reduction is likely to have played an important role in improving kidney transplant patient survival in our cohort. But we cannot confirm this, because we have no stored data on blood pressures of type of antihypertensive use in these patients.\nTreatment for disease has also improved. In the general population, there has been a 30% reduction in one-year mortality after myocardial infarction in 1992–1994 when compared to 1981–1983, which is attributed to evidence-based therapies [18]. Better cardiac interventions over the years have also helped in subjects with functioning kidney transplants. Herzog and colleagues retrospectively examined outcomes of renal transplant recipients hospitalized during 1977–1996 for a first acute myocardial infarction (AMI) and reported markedly improved long-term survival of renal transplant recipients after AMI in the modern treatment era [19].\nAcute rejection episodes have been identified as risk factors for development of cardiovascular disease namely ischemic heart disease and cerebral vascular disease [13]. Use of better immunosuppression protocols over the past three decades has thus contributed indirectly to decreased prevalence of CVD mortality by reducing rejection rates. A recent study from Vienna looked at 1823 first kidney transplants from 1990 to 2003. They found significantly better patient survival for patients who received Calcineurin inhibitor containing maintenance immunosuppression when compared to those without it (0.41, 95% CI 0.30–0.57) [20].\nBesides the decreased cardiovascular mortality, a decrease in infection-related post-transplant mortality has also contributed to better patient survival [5]. Better infection control practices, better antibiotics and anti-virals, and reduced overall immunosuppression are all likely factors in the decrease in infection-related mortality in transplant patients. Specifically, valaciclovir prophylaxis has been reported to improve survival in renal transplant patients who are at high risk for developing CMV disease [21]. A recent Cochrane database systematic review confirmed this by examining 34 studies with 3,850 participants. This meta-analysis study concluded that prophylaxis with antiviral medications reduces CMV disease and CMV-related mortality in solid organ transplants [22]. Prophylaxis with acyclovir, ganciclovir or valacylcovir has also been reported to reduce the risks of diseases associated with herpes simplex, herpes zoster, bacterial and protozoal infections [23]. Universal immunization of a transplant recipient has also likely contributed to decreased infectious mortality. Better pre-transplant evaluation of the recipient in terms of cancer screening, cardiovascular risk factors identification and their modification could contribute to this trend of increased survival to DWFG event. However, after transplantation, in subjects with functioning kidney transplants, routine testing for cancer in all likelihood does not reduce overall mortality and thus cannot explain the impressive gains in patient survival to time of DWFG that we have shown [24, 25].\nOur 10-year median time to DWFG contrasts with data from USRDS that report a median time to DWFG of 6.5 years in the year 2005. Ours is a single-center data, and its values can deviate from the population mean, in this case USRDS data, within 2 standard deviations of the population mean. Another possible explanation is the differential age distribution of our data and the USRDS data such that a relatively younger segment of population was being transplanted during each year when compared to our corresponding single-center experience.\nThis is consistent with the report of Ojo et al., who found that increasing age at transplant was significantly associated with DWFG [6]. Also, younger patients are more likely to survive to graft failure and resume dialysis.\nA major limitation of our study is its retrospective nature. We see an increase in time to death with functioning graft (DWFG) in our data, and we have cited published data to attribute it to improved medical practices, the foremost of which being modification of cardiac risk factors and management of cardiac and infectious disease. However, because of the retrospective nature of our study, which spanned over more than three decades, some of the data on such practices were not systematically collected and stored. In addition, no data were collected and stored on non-traditional risk factors as many of them were identified as novel CV risk factors only in the most recent epoch. Thus, although we see benefit in terms of improved outcomes at our center, the current study is somewhat limited in attributing those benefits directly to our changing and improved practices. Nevertheless, the medical practices that led to the improvement in time to DWFG and their approximate time of introduction into clinical practice are similar to the adoption of those practices at out center.\nIn conclusion, patient survival with a functioning kidney transplant has increased. This points to improvements in medical care as important factors in better kidney transplant outcomes.\nFactors that may play a role in this improvement include: better pre-transplant evaluation, better treatment for traditional cardiovascular risk factors such as hypertension and hyperlipidemia, improved management of myocardial infarction, superior immunosuppressant protocols and better prophylaxis and treatment of infections. The advances in medical care that have helped the general population to live longer are likely to have also improved the survival of kidney transplant patients." ]
[ "introduction", "materials|methods", "results", "discussion" ]
[ "Death with functioning graft", "Survival", "Cardiovascular care", "Infectious disease prophylaxis", "Transplantation" ]
Introduction: Kidney transplant survival has improved in recent years [1, 2]. This improvement is often credited to better immunosuppressive protocols, with reduced rejection rates and also lesser medication toxicity. But general medical care may also affect kidney transplant patient survival. This aspect of post-transplant care has not been well quantified, and its impact may be ignored if graft survival rates are censored for death with functioning graft. Yet, death with a functioning kidney graft (DWFG) is a major cause of graft loss after renal transplantation, occurring in 10–40% of transplants [3–6]. Because it does not consider loss of the kidney transplant and resumption of dialysis, time to DWFG does not incorporate graft loss due to immunological factors. Rather, time to DWFG may provide insight into post-transplant medical care. In this study, we used the time to DWFG as an endpoint, to test whether improved medical care has contributed to better kidney transplant outcomes. Methods: We used single-center data from the Milwaukee Regional Medical Center and Froedtert Hospital, on kidney-only transplants from 1969 through 2005. A total of 3,157 kidney transplants were done at our center during this time. The cause of ESRD was ascertained at the time of first encounter or listing and from the Form CMS 2728. There were 714 deaths with functioning kidney, 564 in subjects with deceased donor transplants. We also recorded the major causes of DWFG over the time period from 1969 through 2005 divided into 3 epochs. The cause of death was ascertained from the hospital records and death certificate information. The data were analyzed as a serial collection of yearly obituaries. That is, the median age at time of death was calculated for all subjects dying in a particular year, and those median ages were graphed as a function of year of death, rather than year of transplant. This method is realistic because it corresponds to day-to-day experience. It also eliminates confounding by less time of follow-up in more recent years. Finally, we obtained the general population mortality data from the State of Wisconsin for the years included in this study. The study is fully approved by the Human Research Review Committee of the Medical College of Wisconsin. Results: In the time period from 1969 to 2005, there were 714 deaths with functioning kidney, 564 in subjects with deceased donor transplants. Of these 564 subjects, 65% were men and 35% were women recipients of deceased donor kidney transplant. Of the subjects with DWFG who had living donor transplants, 64% were men and 36% were women. There has been an increase in median time to DWFG from about one year in 1969 to 10 years in year 2005 (Fig. 1). During this same time, there was a 20-year increase in median age of kidney transplant recipients at time of transplant (Fig. 2). In addition, in epoch 1, (1969–1980), 5% of the kidney disease was caused by diabetes whereas in epoch 2 (1981–1992) and epoch 3 (1993–2005), respectively, 41% and 47% of the kidney disease was secondary to diabetes. For epochs 1, 2 and 3, hypertension was the underlying cause of kidney disease in 2%, 11% and 10% respectively. The increase in time to DWFG is 10 years over the same total time period. A separate analysis of deaths by epoch showed changes with time, notably a reduced proportion of death caused by infection (Fig. 3).Fig. 1Showing increasing median time to death with functioning graft (DWFG) from years 1969 through 2005 Fig. 2Showing an increasing median age at time of transplant with the each year of transplant Fig. 3Depicting changing trends in cause of death kidney transplant recipients in each of the three epochs (1969–1980; 1981–1992; 1993–2005) Showing increasing median time to death with functioning graft (DWFG) from years 1969 through 2005 Showing an increasing median age at time of transplant with the each year of transplant Depicting changing trends in cause of death kidney transplant recipients in each of the three epochs (1969–1980; 1981–1992; 1993–2005) Discussion: These data show an increase in median time to death with functioning graft over the last 30 years despite the aging population of transplant recipients, and in the face of a substantial increase in the numbers of patients with diabetes as the cause of their kidney failure. Over the same time period as this study, the median age at death in general population of the State of Wisconsin for the same period has increased from age 73 to age 80 [7]. It is likely that the subjects of our study were helped by the medical care advances over this time, in a way that is parallel to the general population. A recent review of transplant outcomes in the elderly population by Saxena et al. have also highlighted better survival in elderly transplant recipients attributable to multiple factors [8]. Ojo et al. also showed improvement in survival of subjects with a functioning kidney transplant [6]. But this analysis was limited to the time period 1988 to 1997. Our cohort includes subjects before that time period and after it. In addition, while Ojo et al. reported a decline in DWFG in terms of risk reduction, our analysis additionally provides the immediately useful practical information of the actual number of years of patient survival with a functioning transplant. Better pre-transplant evaluation, pre- and post-transplant cardiovascular risk factor modification and treatment, and better post-transplant care of infections are likely contributors to the increasing time to death with functioning graft. Recent reports show a significant reduction in coronary heart disease mortality in the general population in the year 2000 when compared to the year 1980 [9]. This effect is attributable equally to reduction in risk factors and use of evidence-based medical therapies. In the case of kidney transplant patients, the role of hyperlipidemia and other risk factors is similar to that of the general population [10]. There are additional risk factors in subjects with kidney transplants, such as the effect of reduced kidney function, which are not present in the general population. Nonetheless, death from IHD (Ischemic heart disease) in people with a kidney transplant is significantly associated with traditional risk factors of hypertension, increasing age, lower HDL, diabetes mellitus (DM), hypercholesterolemia, baseline congestive heart failure (CHF) and cardiovascular disease (CVD) history [10]. Ivens et al. concluded that the high incidence of CVD following renal transplant was mainly due to increased prevalence and accumulation of classic risk factors before and following transplant [11]. Since the cardiovascular disease in kidney transplant patients shares the same risk factors for cardiovascular disease as in general population, their modification, as observed in the general population, is expected to improve the cardiovascular disease outcomes [12]. Indeed, the European ALERT extension study demonstrated a significant reduction in risk of cardiac death and non-fatal MI in renal transplant patients with moderate elevation in cholesterol treated with fluvastatin when compared to those treated with placebo [13]. An American study reported a 24% reduction in mortality in patients treated with statins when compared to placebo [14]. More recently, a study looking at a cohort of 2041 first-time renal transplant recipients from 1990 to 2003 reported improved survival in patients on statins when compared to not being on statins (HR (adj) 0.64, 95% CI 0.48–0.86) [15]. In confirmation of these reports, the USRDS in its 2007 annual data report shows significant improvement in 1- and 5-year survival of kidney transplant patients after a diagnosis of heart disease [16]. In neither the USRDS data nor in the present report can we confirm the role of statins because we have no stored data on their use. It is likely, however, that use of statins has increased steadily since 1985, which is at or about the time when time to death with functioning transplant began to increase (Fig. 1). Hypertension control appears to play a significant role in better kidney transplant survival. A cohort analysis from the Collaborative Transplant Study reported better kidney transplant survival and lesser cardiovascular deaths with control of the systolic blood pressure to less than 140 mm Hg [17]. Over the past three decades, control of the blood pressure has become more effective, and with less side effects. Use of angiotensin-converting enzyme inhibitors has increased steadily since the mid-1980s, coinciding with the upswing in time to death with functioning graft (Fig. 1) This aspect of cardiovascular risk reduction is likely to have played an important role in improving kidney transplant patient survival in our cohort. But we cannot confirm this, because we have no stored data on blood pressures of type of antihypertensive use in these patients. Treatment for disease has also improved. In the general population, there has been a 30% reduction in one-year mortality after myocardial infarction in 1992–1994 when compared to 1981–1983, which is attributed to evidence-based therapies [18]. Better cardiac interventions over the years have also helped in subjects with functioning kidney transplants. Herzog and colleagues retrospectively examined outcomes of renal transplant recipients hospitalized during 1977–1996 for a first acute myocardial infarction (AMI) and reported markedly improved long-term survival of renal transplant recipients after AMI in the modern treatment era [19]. Acute rejection episodes have been identified as risk factors for development of cardiovascular disease namely ischemic heart disease and cerebral vascular disease [13]. Use of better immunosuppression protocols over the past three decades has thus contributed indirectly to decreased prevalence of CVD mortality by reducing rejection rates. A recent study from Vienna looked at 1823 first kidney transplants from 1990 to 2003. They found significantly better patient survival for patients who received Calcineurin inhibitor containing maintenance immunosuppression when compared to those without it (0.41, 95% CI 0.30–0.57) [20]. Besides the decreased cardiovascular mortality, a decrease in infection-related post-transplant mortality has also contributed to better patient survival [5]. Better infection control practices, better antibiotics and anti-virals, and reduced overall immunosuppression are all likely factors in the decrease in infection-related mortality in transplant patients. Specifically, valaciclovir prophylaxis has been reported to improve survival in renal transplant patients who are at high risk for developing CMV disease [21]. A recent Cochrane database systematic review confirmed this by examining 34 studies with 3,850 participants. This meta-analysis study concluded that prophylaxis with antiviral medications reduces CMV disease and CMV-related mortality in solid organ transplants [22]. Prophylaxis with acyclovir, ganciclovir or valacylcovir has also been reported to reduce the risks of diseases associated with herpes simplex, herpes zoster, bacterial and protozoal infections [23]. Universal immunization of a transplant recipient has also likely contributed to decreased infectious mortality. Better pre-transplant evaluation of the recipient in terms of cancer screening, cardiovascular risk factors identification and their modification could contribute to this trend of increased survival to DWFG event. However, after transplantation, in subjects with functioning kidney transplants, routine testing for cancer in all likelihood does not reduce overall mortality and thus cannot explain the impressive gains in patient survival to time of DWFG that we have shown [24, 25]. Our 10-year median time to DWFG contrasts with data from USRDS that report a median time to DWFG of 6.5 years in the year 2005. Ours is a single-center data, and its values can deviate from the population mean, in this case USRDS data, within 2 standard deviations of the population mean. Another possible explanation is the differential age distribution of our data and the USRDS data such that a relatively younger segment of population was being transplanted during each year when compared to our corresponding single-center experience. This is consistent with the report of Ojo et al., who found that increasing age at transplant was significantly associated with DWFG [6]. Also, younger patients are more likely to survive to graft failure and resume dialysis. A major limitation of our study is its retrospective nature. We see an increase in time to death with functioning graft (DWFG) in our data, and we have cited published data to attribute it to improved medical practices, the foremost of which being modification of cardiac risk factors and management of cardiac and infectious disease. However, because of the retrospective nature of our study, which spanned over more than three decades, some of the data on such practices were not systematically collected and stored. In addition, no data were collected and stored on non-traditional risk factors as many of them were identified as novel CV risk factors only in the most recent epoch. Thus, although we see benefit in terms of improved outcomes at our center, the current study is somewhat limited in attributing those benefits directly to our changing and improved practices. Nevertheless, the medical practices that led to the improvement in time to DWFG and their approximate time of introduction into clinical practice are similar to the adoption of those practices at out center. In conclusion, patient survival with a functioning kidney transplant has increased. This points to improvements in medical care as important factors in better kidney transplant outcomes. Factors that may play a role in this improvement include: better pre-transplant evaluation, better treatment for traditional cardiovascular risk factors such as hypertension and hyperlipidemia, improved management of myocardial infarction, superior immunosuppressant protocols and better prophylaxis and treatment of infections. The advances in medical care that have helped the general population to live longer are likely to have also improved the survival of kidney transplant patients.
Background: Death with a functioning kidney graft (DWFG) is now a major cause of graft loss after renal transplantation, occurring in up to 40% of cases. Its occurrence provides insight into the medical care of subjects with a functioning kidney transplant. In this study, we used the time to DWFG as an endpoint, to test whether improved medical care has contributed to better kidney transplant outcomes. Methods: We used single-center data from the Milwaukee Regional Medical Center and Froedtert Hospital, on kidney-only transplants from 1969 through 2005. A total of 3,157 kidney transplants were done at our center during this time. There were 714 deaths with functioning kidney. We also recorded the major causes of DWFG over the time period from 1969 through 2005 divided into 3 epochs. The data were analyzed as a serial collection of yearly obituaries. Results: The time to DWFG has increased to 10 years despite a 20-year increase in the mean age of transplant recipients over the same time period. Conclusions: Better pre-transplant evaluation, improved treatments for hypertension and hyperlipidemia, improved management of acute myocardial infarction, superior immunosuppressive protocols and better prophylaxis and treatment of infectious diseases have all likely contributed to this trend.
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[ "transplant", "time", "kidney", "death", "kidney transplant", "survival", "dwfg", "better", "disease", "risk" ]
[ "loss kidney transplant", "functioning kidney transplants", "transplant survival improved", "kidney transplants effect", "survival renal transplant" ]
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[CONTENT] Death with functioning graft | Survival | Cardiovascular care | Infectious disease prophylaxis | Transplantation [SUMMARY]
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[CONTENT] Death with functioning graft | Survival | Cardiovascular care | Infectious disease prophylaxis | Transplantation [SUMMARY]
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[CONTENT] Death with functioning graft | Survival | Cardiovascular care | Infectious disease prophylaxis | Transplantation [SUMMARY]
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[CONTENT] Female | Humans | Kidney Transplantation | Male | Retrospective Studies [SUMMARY]
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[CONTENT] Female | Humans | Kidney Transplantation | Male | Retrospective Studies [SUMMARY]
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[CONTENT] Female | Humans | Kidney Transplantation | Male | Retrospective Studies [SUMMARY]
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[CONTENT] loss kidney transplant | functioning kidney transplants | transplant survival improved | kidney transplants effect | survival renal transplant [SUMMARY]
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[CONTENT] loss kidney transplant | functioning kidney transplants | transplant survival improved | kidney transplants effect | survival renal transplant [SUMMARY]
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[CONTENT] loss kidney transplant | functioning kidney transplants | transplant survival improved | kidney transplants effect | survival renal transplant [SUMMARY]
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[CONTENT] transplant | time | kidney | death | kidney transplant | survival | dwfg | better | disease | risk [SUMMARY]
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[CONTENT] transplant | time | kidney | death | kidney transplant | survival | dwfg | better | disease | risk [SUMMARY]
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[CONTENT] transplant | time | kidney | death | kidney transplant | survival | dwfg | better | disease | risk [SUMMARY]
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[CONTENT] graft | care | transplant | loss | kidney | kidney transplant | survival | medical care | dwfg | graft loss [SUMMARY]
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[CONTENT] time | 1969 | fig | transplant | 2005 | kidney | increasing median | median | year | increasing [SUMMARY]
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[CONTENT] transplant | time | kidney | kidney transplant | death | survival | dwfg | 1969 | data | graft [SUMMARY]
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[CONTENT] DWFG | up to 40% ||| ||| DWFG [SUMMARY]
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[CONTENT] DWFG | 10 years | 20-year [SUMMARY]
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[CONTENT] DWFG | up to 40% ||| ||| DWFG ||| the Milwaukee Regional Medical Center and Froedtert Hospital | 1969 ||| 3,157 ||| 714 ||| DWFG | 1969 | 3 ||| ||| ||| DWFG | 10 years | 20-year ||| [SUMMARY]
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Assessing knowledge, attitude, and practice of emergency contraception: a cross- sectional study among Ethiopian undergraduate female students.
22321964
Emergency contraception (EC) is a type of modern contraception which is indicated after unprotected sexual intercourse when regular contraception is not in use. The importance of EC is evident in preventing unintended pregnancies and its ill consequences like unintended child delivery or unsafe abortion, which are the most common causes of maternal mortality. Therefore, EC need to be available and used appropriately as a backup in case regular contraception is not used, misused or failed. Knowing that Ethiopia is one of the countries with highest maternal mortality rate, this study aimed to assess the knowledge, attitude and practice of EC, and to further elucidate the relationship between these factors and some socioeconomic and demographic characteristics among female undergraduate students of Addis Ababa University (AAU). This information will contribute substantially to interventions intended to combat maternal mortality.
BACKGROUND
A Cross-sectional quantitative study among 368 AAU undergraduate students was conducted using self-administered questionnaire. Study participants were selected by stratified random sampling. Data was entered and analyzed using SPSS Version 17. Results were presented using descriptive statistics, cross-tabulation and logistic regression.
METHODS
Among the total participants (n = 368), only 23.4% were sexually active. Majority (84.2%) had heard of EC; 32.3% had a positive attitude towards it. The main source of information reported by the respondents was Media (69.3%). Among those who were sexually active, about 42% had unprotected sexual intercourse. Among those who had unprotected sexual intercourse, 75% had ever used EC. Sexually active participants had significantly better attitude towards EC than sexually inactive participants (crude OR 0.33(0.15-0.71)); even after adjusting for possible confounders such as age, region, religion, ethnicity, marital status, department and family education and income (adj. OR 0.36(0.15-0.86)).
RESULTS
The study showed high EC awareness and usage in contrast to other studies in the city, which could be due to the fact that university students are relatively in a better educational level. Therefore, it is highly recommended that interventions intended to combat maternal mortality through contraceptive usage need to be aware of such information specific to the target groups.
CONCLUSIONS
[ "Adolescent", "Adult", "Contraception, Postcoital", "Cross-Sectional Studies", "Ethiopia", "Female", "Health Knowledge, Attitudes, Practice", "Humans", "Students", "Universities", "Young Adult" ]
3293041
Background
EC is a type of modern contraception which is indicated after unprotected sexual intercourse, following sexual abuse, misuse of regular contraception or non use of contraception [1]. EC plays a vital role in preventing unintended pregnancy, which in turn helps to reduce unintended child birth and unsafe abortion, which are major problems of maternal health [1]. EC is found to be effective if used as soon as possible after unprotected sexual intercourse, especially within 72 hours of unprotected sexual intercourse [2]. There are two types of ECs namely, emergency contraceptive pills and intrauterine devices (IUDs). The pills include combined oral contraceptive pills (COCs), and a progestin only pills (POPs); IUDs can be effective if it is inserted within 5 days of unprotected sexual intercourse [3]. EC is said to be safe with minor side effects like nausea and vomiting in case of pills and infection for IUDs if not used properly [3]. Effectiveness of EC said to be 75% in case of COCs and 85% in case of POPs [4]. Regarding the mechanism of action, EC works by preventing fertilization, implantation and tubal transportation of sperm and ovum [4]. Each year there are about 250 Million pregnancies globally and one third of these are unintended and 20% of these undergo induced abortion [5]. In Low income countries, more that one third of the 182 million pregnancies is unintended; the fate of 19% will be induced abortion and 11% of this is unsafe [5]. In low income countries, the women who do not use any contraceptive contribute to two third of unintended pregnancies, where more than 100 million married women have unmet need for contraception [5]. Unsafe abortion has much ill effects in women's health, each year about 68,000 women die because of unsafe abortion, and millions of women end up with many complications of unsafe abortion, which could include severe infection and bleeding; this could have been immensely reduced by using EC [6]. Each year about 500,000 women die due to cases related with child birth, and majority are in sub Saharan Africa where there is also high fertility rate that is more than five [7]. Globally, it's estimated that 11% births are given by adolescent girls of age 15-19 annually, and 95% of these births are in low income countries, Ethiopia is one of the countries with high adolescent birth rate [8]. Most adolescent pregnancies seem to be intended; just because they happen within marriage but in reality most of them are unintended rather the marriage itself is arranged by the girls' family due to some cultural influences [8]. Adolescent pregnancy affect the health of mother and child, it has a devastating impact in social and psychological life of the girls [8]. Ethiopia is one of the countries with high maternal mortality rate; the estimated rate in 2005 was 673 per 100,000 live births [9]. In one of the surveys conducted in Ethiopia, among 1075 women who presented with abortion, about 58% were between age group of 20-29; and non use of contraceptive contributed to 78% of these pregnancies and rape accounted for 3% of the abortions [10]. In a study conducted in one of the high schools of Ethiopia, the prevalence of attempted rape was 8.8% and the prevalence of performed rape was 11.5% [11]. Despite the fact that different modern contraceptives exist world wide, the problem of unintended pregnancy still exists, which could be due to gap in awareness, negative attitudes towards contraception, low accessibility or as a result of sexual assault. At times, the knowledge and practice might be there but no contraceptive is 100% effective, and it is always very vital to have EC as a backup method. In one of the studies conducted among 417 women of post abortal care clients in Ethiopia, 59(14.1%) had ever heard of EC, and only 15(8.6%) had ever used EC [12]. In another study among 833 college students in one of the towns of Ethiopia, the magnitude of sexual violence was 47.9%, and unwanted pregnancy was found to be 16.9%; about 228(27.4%) had knowledge about EC, 20(2.4%) had ever used it and about 548(65.8%) had favorable attitude towards use of EC [13]. Considering the importance of EC in preventing unintended pregnancy, this study aimed to assess the knowledge, attitude and practice of EC and to further elucidate the relationship between these factors and socioeconomic and demographic characteristics among female undergraduate students of AAU.
Methods
Study area The study was conducted in AAU, the biggest University of Ethiopia, which is located in the capital city of the country, Addis Ababa. Ethiopia is one of the low income countries in sub Saharan Africa, with high fertility rate, which is about 5.4 [14]. In Ethiopia, there are different ethnic groups with different cultures, for example, Amhara, Oromo, and Tigre etc. Christianity and Islam are the major religions in the country [14]. Student in this University come from different regions of the country, and this created a favorable condition to compare the results among students of different regions. According to the registrar's office of the University, the total number of students enrolled at the time of the study was about 21, 819 undergraduate students, among these about 6725 were female [unpublished data]. The study was conducted in AAU, the biggest University of Ethiopia, which is located in the capital city of the country, Addis Ababa. Ethiopia is one of the low income countries in sub Saharan Africa, with high fertility rate, which is about 5.4 [14]. In Ethiopia, there are different ethnic groups with different cultures, for example, Amhara, Oromo, and Tigre etc. Christianity and Islam are the major religions in the country [14]. Student in this University come from different regions of the country, and this created a favorable condition to compare the results among students of different regions. According to the registrar's office of the University, the total number of students enrolled at the time of the study was about 21, 819 undergraduate students, among these about 6725 were female [unpublished data]. Study period The study was conducted from the beginning of February, 2010 till the beginning of May, 2010. The study was conducted from the beginning of February, 2010 till the beginning of May, 2010. Study design A Cross- sectional quantitative study was conducted. A Cross- sectional quantitative study was conducted. Source population The source population for this study was all female undergraduate students at AAU. According to AAU registrar's office, there were about 6725 female undergraduate students in 2010; 884(13%) of them were admitted to health science departments and 5841(87%) were admitted to non- health science departments. The source population for this study was all female undergraduate students at AAU. According to AAU registrar's office, there were about 6725 female undergraduate students in 2010; 884(13%) of them were admitted to health science departments and 5841(87%) were admitted to non- health science departments. Sampling technique To obtain a representative sample, stratified random sampling was applied to select study participants from the source population. First the students were divided in to two practical strata, which were health science students and non-health science students. From each stratum, participants were selected by simple random sampling based on the proportion of the number of female students in each stratum that is 13% health science students and 87% non- health science students. All female undergraduate students at the University were eligible for the study. To obtain a representative sample, stratified random sampling was applied to select study participants from the source population. First the students were divided in to two practical strata, which were health science students and non-health science students. From each stratum, participants were selected by simple random sampling based on the proportion of the number of female students in each stratum that is 13% health science students and 87% non- health science students. All female undergraduate students at the University were eligible for the study. Sample size The minimum required sample size was calculated using electronic sample size calculator (with 5% margin of error, 95% confidence level and 50% response distribution); and it was found to be 400(including 10% non-response rate). The total number of students who answered the questionnaire was 368, making the response rate of the study 92%. The minimum required sample size was calculated using electronic sample size calculator (with 5% margin of error, 95% confidence level and 50% response distribution); and it was found to be 400(including 10% non-response rate). The total number of students who answered the questionnaire was 368, making the response rate of the study 92%. Data collection method Data was collected using self- administered Questionnaire which [additional file 1] was prepared in English to assess socioeconomic status, reproductive characteristics as well as their knowledge, attitude and practice towards EC. To increase the quality of the data, most of the questions were adapted from previously conducted studies with some changes based on the local context [15]. Likewise, confidentiality and anonymity of the study was reassured. The data was collected while students were in class rooms. The instructors cooperated with the principal investigator in disseminating the questionnaire. In the end, the questionnaires were gathered and checked for completeness by the principal investigator. Data was collected using self- administered Questionnaire which [additional file 1] was prepared in English to assess socioeconomic status, reproductive characteristics as well as their knowledge, attitude and practice towards EC. To increase the quality of the data, most of the questions were adapted from previously conducted studies with some changes based on the local context [15]. Likewise, confidentiality and anonymity of the study was reassured. The data was collected while students were in class rooms. The instructors cooperated with the principal investigator in disseminating the questionnaire. In the end, the questionnaires were gathered and checked for completeness by the principal investigator. Ethical consideration Before the data was collected, official letter from Lund University administration was obtained to ask consent from AAU administration as well as from study participants. The purpose of the study was explained to all study participants; they were also informed that all of their responses are confidential and anonymous, and they have all the right not to be involved in the study or not to answer any of the questions. Ethical approval was issued by Addis Ababa city administration health bureau. Before the data was collected, official letter from Lund University administration was obtained to ask consent from AAU administration as well as from study participants. The purpose of the study was explained to all study participants; they were also informed that all of their responses are confidential and anonymous, and they have all the right not to be involved in the study or not to answer any of the questions. Ethical approval was issued by Addis Ababa city administration health bureau. Data analysis Data was entered and analyzed using SPSS version 17 by the principal investigator. Different forms of analysis like descriptive statistics, cross tabulation and logistic regression were applied to present the results. Recoding of data was also done for some variables to fit them in to binary logistic regression model. Adequate time was spent on the analysis to ensure quality. Data was entered and analyzed using SPSS version 17 by the principal investigator. Different forms of analysis like descriptive statistics, cross tabulation and logistic regression were applied to present the results. Recoding of data was also done for some variables to fit them in to binary logistic regression model. Adequate time was spent on the analysis to ensure quality. Study variables Dependent variables Knowledge, attitude and practice of EC. These variables have been defined below under "operational definitions". Knowledge, attitude and practice of EC. These variables have been defined below under "operational definitions". Independent variables • Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29. • Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist). • Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar) • Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar • Department: Health science and non-health science • Marital status: Unmarried, married, divorced and widowed. • Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500. • Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education. • Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29. • Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist). • Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar) • Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar • Department: Health science and non-health science • Marital status: Unmarried, married, divorced and widowed. • Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500. • Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education. Dependent variables Knowledge, attitude and practice of EC. These variables have been defined below under "operational definitions". Knowledge, attitude and practice of EC. These variables have been defined below under "operational definitions". Independent variables • Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29. • Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist). • Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar) • Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar • Department: Health science and non-health science • Marital status: Unmarried, married, divorced and widowed. • Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500. • Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education. • Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29. • Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist). • Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar) • Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar • Department: Health science and non-health science • Marital status: Unmarried, married, divorced and widowed. • Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500. • Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education. Operational definitions • Emergency contraception: A kind of contraception indicated after unprotected sexual intercourse to prevent unintended pregnancy. • Sexually active: having a previous history of vaginal sexual intercourse. • Unintended pregnancy: pregnancy occurred with no plan. • Knowledge: awareness of the existence of EC, its importance and effectiveness. • Attitude: Intention of using or recommending EC when a need arises. Intending to use or recommend is considered as a positive attitude, and no intention as a negative attitude. • Practice: Any previous history of EC usage. • High income: Monthly income of more than 500 Ethiopian birr (33 USD) • Low income: Monthly income of 150 to 499 Ethiopian Birr (10-32 USD) • Media: Radio, Television. • Emergency contraception: A kind of contraception indicated after unprotected sexual intercourse to prevent unintended pregnancy. • Sexually active: having a previous history of vaginal sexual intercourse. • Unintended pregnancy: pregnancy occurred with no plan. • Knowledge: awareness of the existence of EC, its importance and effectiveness. • Attitude: Intention of using or recommending EC when a need arises. Intending to use or recommend is considered as a positive attitude, and no intention as a negative attitude. • Practice: Any previous history of EC usage. • High income: Monthly income of more than 500 Ethiopian birr (33 USD) • Low income: Monthly income of 150 to 499 Ethiopian Birr (10-32 USD) • Media: Radio, Television.
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Conclusions
The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2458/12/110/prepub
[ "Background", "Study area", "Study period", "Study design", "Source population", "Sampling technique", "Sample size", "Data collection method", "Ethical consideration", "Data analysis", "Study variables", "Dependent variables", "Independent variables", "Operational definitions", "Results", "Socio demographic characteristics", "Reproductive characteristics", "Knowledge, attitude and practice of EC", "Discussion", "Conclusions" ]
[ "EC is a type of modern contraception which is indicated after unprotected sexual intercourse, following sexual abuse, misuse of regular contraception or non use of contraception [1]. EC plays a vital role in preventing unintended pregnancy, which in turn helps to reduce unintended child birth and unsafe abortion, which are major problems of maternal health [1]. EC is found to be effective if used as soon as possible after unprotected sexual intercourse, especially within 72 hours of unprotected sexual intercourse [2].\nThere are two types of ECs namely, emergency contraceptive pills and intrauterine devices (IUDs). The pills include combined oral contraceptive pills (COCs), and a progestin only pills (POPs); IUDs can be effective if it is inserted within 5 days of unprotected sexual intercourse [3]. EC is said to be safe with minor side effects like nausea and vomiting in case of pills and infection for IUDs if not used properly [3]. Effectiveness of EC said to be 75% in case of COCs and 85% in case of POPs [4]. Regarding the mechanism of action, EC works by preventing fertilization, implantation and tubal transportation of sperm and ovum [4].\nEach year there are about 250 Million pregnancies globally and one third of these are unintended and 20% of these undergo induced abortion [5]. In Low income countries, more that one third of the 182 million pregnancies is unintended; the fate of 19% will be induced abortion and 11% of this is unsafe [5]. In low income countries, the women who do not use any contraceptive contribute to two third of unintended pregnancies, where more than 100 million married women have unmet need for contraception [5]. Unsafe abortion has much ill effects in women's health, each year about 68,000 women die because of unsafe abortion, and millions of women end up with many complications of unsafe abortion, which could include severe infection and bleeding; this could have been immensely reduced by using EC [6]. Each year about 500,000 women die due to cases related with child birth, and majority are in sub Saharan Africa where there is also high fertility rate that is more than five [7]. Globally, it's estimated that 11% births are given by adolescent girls of age 15-19 annually, and 95% of these births are in low income countries, Ethiopia is one of the countries with high adolescent birth rate [8]. Most adolescent pregnancies seem to be intended; just because they happen within marriage but in reality most of them are unintended rather the marriage itself is arranged by the girls' family due to some cultural influences [8]. Adolescent pregnancy affect the health of mother and child, it has a devastating impact in social and psychological life of the girls [8].\nEthiopia is one of the countries with high maternal mortality rate; the estimated rate in 2005 was 673 per 100,000 live births [9]. In one of the surveys conducted in Ethiopia, among 1075 women who presented with abortion, about 58% were between age group of 20-29; and non use of contraceptive contributed to 78% of these pregnancies and rape accounted for 3% of the abortions [10]. In a study conducted in one of the high schools of Ethiopia, the prevalence of attempted rape was 8.8% and the prevalence of performed rape was 11.5% [11].\nDespite the fact that different modern contraceptives exist world wide, the problem of unintended pregnancy still exists, which could be due to gap in awareness, negative attitudes towards contraception, low accessibility or as a result of sexual assault. At times, the knowledge and practice might be there but no contraceptive is 100% effective, and it is always very vital to have EC as a backup method. In one of the studies conducted among 417 women of post abortal care clients in Ethiopia, 59(14.1%) had ever heard of EC, and only 15(8.6%) had ever used EC [12]. In another study among 833 college students in one of the towns of Ethiopia, the magnitude of sexual violence was 47.9%, and unwanted pregnancy was found to be 16.9%; about 228(27.4%) had knowledge about EC, 20(2.4%) had ever used it and about 548(65.8%) had favorable attitude towards use of EC [13].\nConsidering the importance of EC in preventing unintended pregnancy, this study aimed to assess the knowledge, attitude and practice of EC and to further elucidate the relationship between these factors and socioeconomic and demographic characteristics among female undergraduate students of AAU.", "The study was conducted in AAU, the biggest University of Ethiopia, which is located in the capital city of the country, Addis Ababa. Ethiopia is one of the low income countries in sub Saharan Africa, with high fertility rate, which is about 5.4 [14]. In Ethiopia, there are different ethnic groups with different cultures, for example, Amhara, Oromo, and Tigre etc. Christianity and Islam are the major religions in the country [14].\nStudent in this University come from different regions of the country, and this created a favorable condition to compare the results among students of different regions. According to the registrar's office of the University, the total number of students enrolled at the time of the study was about 21, 819 undergraduate students, among these about 6725 were female [unpublished data].", "The study was conducted from the beginning of February, 2010 till the beginning of May, 2010.", "A Cross- sectional quantitative study was conducted.", "The source population for this study was all female undergraduate students at AAU. According to AAU registrar's office, there were about 6725 female undergraduate students in 2010; 884(13%) of them were admitted to health science departments and 5841(87%) were admitted to non- health science departments.", "To obtain a representative sample, stratified random sampling was applied to select study participants from the source population. First the students were divided in to two practical strata, which were health science students and non-health science students. From each stratum, participants were selected by simple random sampling based on the proportion of the number of female students in each stratum that is 13% health science students and 87% non- health science students. All female undergraduate students at the University were eligible for the study.", "The minimum required sample size was calculated using electronic sample size calculator (with 5% margin of error, 95% confidence level and 50% response distribution); and it was found to be 400(including 10% non-response rate). The total number of students who answered the questionnaire was 368, making the response rate of the study 92%.", "Data was collected using self- administered Questionnaire which [additional file 1] was prepared in English to assess socioeconomic status, reproductive characteristics as well as their knowledge, attitude and practice towards EC. To increase the quality of the data, most of the questions were adapted from previously conducted studies with some changes based on the local context [15]. Likewise, confidentiality and anonymity of the study was reassured. The data was collected while students were in class rooms. The instructors cooperated with the principal investigator in disseminating the questionnaire. In the end, the questionnaires were gathered and checked for completeness by the principal investigator.", "Before the data was collected, official letter from Lund University administration was obtained to ask consent from AAU administration as well as from study participants. The purpose of the study was explained to all study participants; they were also informed that all of their responses are confidential and anonymous, and they have all the right not to be involved in the study or not to answer any of the questions. Ethical approval was issued by Addis Ababa city administration health bureau.", "Data was entered and analyzed using SPSS version 17 by the principal investigator. Different forms of analysis like descriptive statistics, cross tabulation and logistic regression were applied to present the results. Recoding of data was also done for some variables to fit them in to binary logistic regression model. Adequate time was spent on the analysis to ensure quality.", " Dependent variables Knowledge, attitude and practice of EC. These variables have been defined below under \"operational definitions\".\nKnowledge, attitude and practice of EC. These variables have been defined below under \"operational definitions\".\n Independent variables • Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29.\n• Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist).\n• Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar)\n• Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar\n• Department: Health science and non-health science\n• Marital status: Unmarried, married, divorced and widowed.\n• Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500.\n• Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education.\n• Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29.\n• Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist).\n• Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar)\n• Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar\n• Department: Health science and non-health science\n• Marital status: Unmarried, married, divorced and widowed.\n• Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500.\n• Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education.", "Knowledge, attitude and practice of EC. These variables have been defined below under \"operational definitions\".", "• Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29.\n• Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist).\n• Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar)\n• Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar\n• Department: Health science and non-health science\n• Marital status: Unmarried, married, divorced and widowed.\n• Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500.\n• Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education.", "• Emergency contraception: A kind of contraception indicated after unprotected sexual intercourse to prevent unintended pregnancy.\n• Sexually active: having a previous history of vaginal sexual intercourse.\n• Unintended pregnancy: pregnancy occurred with no plan.\n• Knowledge: awareness of the existence of EC, its importance and effectiveness.\n• Attitude: Intention of using or recommending EC when a need arises. Intending to use or recommend is considered as a positive attitude, and no intention as a negative attitude.\n• Practice: Any previous history of EC usage.\n• High income: Monthly income of more than 500 Ethiopian birr (33 USD)\n• Low income: Monthly income of 150 to 499 Ethiopian Birr (10-32 USD)\n• Media: Radio, Television.", " Socio demographic characteristics In this study, a total of 368 students answered the questionnaire (92% response rate). As shown in Table 1, the age range of study participants were from 17 to 29 years old, making the mean and standard deviation of 20.5 and 1.75 respectively. Majority (57.1%) was between the age group 17 to 20 years; 37% between 20 to 23; 4.1% between 23-26; and those between 26-29 years were 7(1.9%). Majority of the respondents 232(63%) were Orthodox Christians by religion, followed by Protestant Christians 79 (21.5%), and Muslims 49(13.3%). Regarding their ethnicity, Amhara was 176(47.%); Oromo, 85(23.1%); Tigre, 44(12%); the rest (17.1%) accounted for SNNP, Somalia, and Afar. Majority of the students (45.1%) had been living in Addis Ababa before entering to the university; the rest had been living in other different regions of Ethiopia. Most of the students (90.5%) were unmarried. Their family income ranged from less than 150 birr which accounts for 6(1.6%) of the students, to more than 1500 birr which were about 163(44.3%) of the students. About 51(13.9%) of the students responded that their mothers can't write and read; and about 102(27.7%) reported that their mothers attended higher education. About their father's education, 155(42.1%) reported their fathers attended higher education, and about 19(5.2%) responded that their fathers can't write and read.\nSocio demographic characteristics of undergraduate female students of AAU, Ethiopia, March, 2010(n = 368)\n1Missing Values: 1(0.33%)\n2Missing Values: 4(1.1%)\nIn this study, a total of 368 students answered the questionnaire (92% response rate). As shown in Table 1, the age range of study participants were from 17 to 29 years old, making the mean and standard deviation of 20.5 and 1.75 respectively. Majority (57.1%) was between the age group 17 to 20 years; 37% between 20 to 23; 4.1% between 23-26; and those between 26-29 years were 7(1.9%). Majority of the respondents 232(63%) were Orthodox Christians by religion, followed by Protestant Christians 79 (21.5%), and Muslims 49(13.3%). Regarding their ethnicity, Amhara was 176(47.%); Oromo, 85(23.1%); Tigre, 44(12%); the rest (17.1%) accounted for SNNP, Somalia, and Afar. Majority of the students (45.1%) had been living in Addis Ababa before entering to the university; the rest had been living in other different regions of Ethiopia. Most of the students (90.5%) were unmarried. Their family income ranged from less than 150 birr which accounts for 6(1.6%) of the students, to more than 1500 birr which were about 163(44.3%) of the students. About 51(13.9%) of the students responded that their mothers can't write and read; and about 102(27.7%) reported that their mothers attended higher education. About their father's education, 155(42.1%) reported their fathers attended higher education, and about 19(5.2%) responded that their fathers can't write and read.\nSocio demographic characteristics of undergraduate female students of AAU, Ethiopia, March, 2010(n = 368)\n1Missing Values: 1(0.33%)\n2Missing Values: 4(1.1%)\n Reproductive characteristics As presented in Table 2, the majority of the study subjects 282(76.6%) were sexually inactive. About 36(9.8%) had history of unprotected sexual intercourse, this was 42% when calculated only among sexually active participants; and 13(3.5%) experienced unintended pregnancy. Regarding the reasons for the unintended pregnancy, 3(0.8%) responded it was due to pressure from the partner, 2(0.5%) by forced sexual intercourse, 2(0.5%) reported it was because they forgot to take contraceptive, 1.6% was due to contraceptive failure.\nReproductive characteristics of female undergraduate students of AAU, Ethiopia, March 2010 (n = 368)\n1Only those who are sexually active answered the questions\n2Only those who are sexually active answered the questions\n3Only those who are sexually active answered the questions\n4Only those who had unintended pregnancy answered the question\nAs presented in Table 2, the majority of the study subjects 282(76.6%) were sexually inactive. About 36(9.8%) had history of unprotected sexual intercourse, this was 42% when calculated only among sexually active participants; and 13(3.5%) experienced unintended pregnancy. Regarding the reasons for the unintended pregnancy, 3(0.8%) responded it was due to pressure from the partner, 2(0.5%) by forced sexual intercourse, 2(0.5%) reported it was because they forgot to take contraceptive, 1.6% was due to contraceptive failure.\nReproductive characteristics of female undergraduate students of AAU, Ethiopia, March 2010 (n = 368)\n1Only those who are sexually active answered the questions\n2Only those who are sexually active answered the questions\n3Only those who are sexually active answered the questions\n4Only those who had unintended pregnancy answered the question\n Knowledge, attitude and practice of EC As it is noted in Table 3, 310(84.2%) had ever heard of EC; and a greater number (336) had ever heard of other contraception. Among the respondents who had ever heard of EC, 85(23.1%) reported that it is 99% effective and 216(58.7%) responded that it is safe to use. Regarding their source of information about EC, 278(75.5%) reported Media, 255(69.3%) health facilities, 108(29.3%) formal education, 29(7.9%) Internet, 15(4.1%) magazine, and 7(1.9) heard from a friend or a relative. Majority of the students (78.3%) responded that ECs are obtained from health institutes, and 302(82.1%) mentioned that EC helps during post rape, 182(49.5%) knew it is worth as a back up when condom breaks, 41(11.1%) thought it is important when oral contraceptive pill (OCP) is forgotten. About the health risks of EC, 49(13.3%) thought it can cause health problems, 33(9%) said it can hurt if it doesn't work, 28(7.6%) reported that it can result in sexually transmitted infection (STI) and Human immuno deficiency virus (HIV) infection. Those respondents who had an intention to use or recommend EC for a friend when a need arises were 119(32.3%). Among those who had unprotected sexual intercourse,75% had ever used EC, that was 30.7% of those who were sexually active and ever heard of EC, and that was only 7.3% of the total participants. Among those who had ever used EC, 15 of them reported that it was recommended by health professional and the rest by a friend. Among the total participants, 48(13%) had ever used other contraception, that was 37.8% of sexually active students that ever heard of other contraception.\nKnowledge, attitude and practice of emergency contraception among undergraduate AAU students, March 2010 (n = 368)\nN.B: Only those who had ever heard of emergency contraceptive answered other knowledge questions.\nTable 4 presents that there is no statistically significant association between students' awareness about the existence of EC and their socio demographic characteristics.\nAssociation between EC awareness and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368)\nN.B. Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table.\nIn Table 5, it is shown that those participants with low family income had a better attitude than those with high family income (crude OR 2.12(1.06-4.18)); this significant association remained when it was adjusted for age, region, religion, ethnicity, marital status, and family education. (Adj.0R 2.47(1.06-5.78)).\nAssociation between EC attitude and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368)\n*statistically significant\n** Statistically significant after adjusted for other variables shown on the table.\nIn Table 6, it is noted that there is no statistically significant association between respondents' socio- demographic characteristics and usage of EC.\nAssociation between EC usage and socidemographic status of female undergraduate students of AAU, March, 2010(n = 368)\nN.B: Only sexually active participants who ever heard of EC are included.\n: Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table.\nTable 7 shows that those who were sexual active had a better attitude than sexually inactive participants (crude OR 0.33(0.15-0.71)); this remained significantly associated when it was adjusted for age, region, religion, ethnicity, marital status, department and family education and income (adj. OR 0.36(0.15-0.86)).\nAssociation of EC knowledge, attitude, and practice with sexual activity, AAU female undergraduate students, March, 2010\n*statistically significant\n** remained statistically significant when adjusted with age, region, religion, department, marital status, family income and education\nβ ns: non-significant(OR O.00(0.00-\nAs it is noted in Table 3, 310(84.2%) had ever heard of EC; and a greater number (336) had ever heard of other contraception. Among the respondents who had ever heard of EC, 85(23.1%) reported that it is 99% effective and 216(58.7%) responded that it is safe to use. Regarding their source of information about EC, 278(75.5%) reported Media, 255(69.3%) health facilities, 108(29.3%) formal education, 29(7.9%) Internet, 15(4.1%) magazine, and 7(1.9) heard from a friend or a relative. Majority of the students (78.3%) responded that ECs are obtained from health institutes, and 302(82.1%) mentioned that EC helps during post rape, 182(49.5%) knew it is worth as a back up when condom breaks, 41(11.1%) thought it is important when oral contraceptive pill (OCP) is forgotten. About the health risks of EC, 49(13.3%) thought it can cause health problems, 33(9%) said it can hurt if it doesn't work, 28(7.6%) reported that it can result in sexually transmitted infection (STI) and Human immuno deficiency virus (HIV) infection. Those respondents who had an intention to use or recommend EC for a friend when a need arises were 119(32.3%). Among those who had unprotected sexual intercourse,75% had ever used EC, that was 30.7% of those who were sexually active and ever heard of EC, and that was only 7.3% of the total participants. Among those who had ever used EC, 15 of them reported that it was recommended by health professional and the rest by a friend. Among the total participants, 48(13%) had ever used other contraception, that was 37.8% of sexually active students that ever heard of other contraception.\nKnowledge, attitude and practice of emergency contraception among undergraduate AAU students, March 2010 (n = 368)\nN.B: Only those who had ever heard of emergency contraceptive answered other knowledge questions.\nTable 4 presents that there is no statistically significant association between students' awareness about the existence of EC and their socio demographic characteristics.\nAssociation between EC awareness and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368)\nN.B. Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table.\nIn Table 5, it is shown that those participants with low family income had a better attitude than those with high family income (crude OR 2.12(1.06-4.18)); this significant association remained when it was adjusted for age, region, religion, ethnicity, marital status, and family education. (Adj.0R 2.47(1.06-5.78)).\nAssociation between EC attitude and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368)\n*statistically significant\n** Statistically significant after adjusted for other variables shown on the table.\nIn Table 6, it is noted that there is no statistically significant association between respondents' socio- demographic characteristics and usage of EC.\nAssociation between EC usage and socidemographic status of female undergraduate students of AAU, March, 2010(n = 368)\nN.B: Only sexually active participants who ever heard of EC are included.\n: Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table.\nTable 7 shows that those who were sexual active had a better attitude than sexually inactive participants (crude OR 0.33(0.15-0.71)); this remained significantly associated when it was adjusted for age, region, religion, ethnicity, marital status, department and family education and income (adj. OR 0.36(0.15-0.86)).\nAssociation of EC knowledge, attitude, and practice with sexual activity, AAU female undergraduate students, March, 2010\n*statistically significant\n** remained statistically significant when adjusted with age, region, religion, department, marital status, family income and education\nβ ns: non-significant(OR O.00(0.00-", "In this study, a total of 368 students answered the questionnaire (92% response rate). As shown in Table 1, the age range of study participants were from 17 to 29 years old, making the mean and standard deviation of 20.5 and 1.75 respectively. Majority (57.1%) was between the age group 17 to 20 years; 37% between 20 to 23; 4.1% between 23-26; and those between 26-29 years were 7(1.9%). Majority of the respondents 232(63%) were Orthodox Christians by religion, followed by Protestant Christians 79 (21.5%), and Muslims 49(13.3%). Regarding their ethnicity, Amhara was 176(47.%); Oromo, 85(23.1%); Tigre, 44(12%); the rest (17.1%) accounted for SNNP, Somalia, and Afar. Majority of the students (45.1%) had been living in Addis Ababa before entering to the university; the rest had been living in other different regions of Ethiopia. Most of the students (90.5%) were unmarried. Their family income ranged from less than 150 birr which accounts for 6(1.6%) of the students, to more than 1500 birr which were about 163(44.3%) of the students. About 51(13.9%) of the students responded that their mothers can't write and read; and about 102(27.7%) reported that their mothers attended higher education. About their father's education, 155(42.1%) reported their fathers attended higher education, and about 19(5.2%) responded that their fathers can't write and read.\nSocio demographic characteristics of undergraduate female students of AAU, Ethiopia, March, 2010(n = 368)\n1Missing Values: 1(0.33%)\n2Missing Values: 4(1.1%)", "As presented in Table 2, the majority of the study subjects 282(76.6%) were sexually inactive. About 36(9.8%) had history of unprotected sexual intercourse, this was 42% when calculated only among sexually active participants; and 13(3.5%) experienced unintended pregnancy. Regarding the reasons for the unintended pregnancy, 3(0.8%) responded it was due to pressure from the partner, 2(0.5%) by forced sexual intercourse, 2(0.5%) reported it was because they forgot to take contraceptive, 1.6% was due to contraceptive failure.\nReproductive characteristics of female undergraduate students of AAU, Ethiopia, March 2010 (n = 368)\n1Only those who are sexually active answered the questions\n2Only those who are sexually active answered the questions\n3Only those who are sexually active answered the questions\n4Only those who had unintended pregnancy answered the question", "As it is noted in Table 3, 310(84.2%) had ever heard of EC; and a greater number (336) had ever heard of other contraception. Among the respondents who had ever heard of EC, 85(23.1%) reported that it is 99% effective and 216(58.7%) responded that it is safe to use. Regarding their source of information about EC, 278(75.5%) reported Media, 255(69.3%) health facilities, 108(29.3%) formal education, 29(7.9%) Internet, 15(4.1%) magazine, and 7(1.9) heard from a friend or a relative. Majority of the students (78.3%) responded that ECs are obtained from health institutes, and 302(82.1%) mentioned that EC helps during post rape, 182(49.5%) knew it is worth as a back up when condom breaks, 41(11.1%) thought it is important when oral contraceptive pill (OCP) is forgotten. About the health risks of EC, 49(13.3%) thought it can cause health problems, 33(9%) said it can hurt if it doesn't work, 28(7.6%) reported that it can result in sexually transmitted infection (STI) and Human immuno deficiency virus (HIV) infection. Those respondents who had an intention to use or recommend EC for a friend when a need arises were 119(32.3%). Among those who had unprotected sexual intercourse,75% had ever used EC, that was 30.7% of those who were sexually active and ever heard of EC, and that was only 7.3% of the total participants. Among those who had ever used EC, 15 of them reported that it was recommended by health professional and the rest by a friend. Among the total participants, 48(13%) had ever used other contraception, that was 37.8% of sexually active students that ever heard of other contraception.\nKnowledge, attitude and practice of emergency contraception among undergraduate AAU students, March 2010 (n = 368)\nN.B: Only those who had ever heard of emergency contraceptive answered other knowledge questions.\nTable 4 presents that there is no statistically significant association between students' awareness about the existence of EC and their socio demographic characteristics.\nAssociation between EC awareness and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368)\nN.B. Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table.\nIn Table 5, it is shown that those participants with low family income had a better attitude than those with high family income (crude OR 2.12(1.06-4.18)); this significant association remained when it was adjusted for age, region, religion, ethnicity, marital status, and family education. (Adj.0R 2.47(1.06-5.78)).\nAssociation between EC attitude and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368)\n*statistically significant\n** Statistically significant after adjusted for other variables shown on the table.\nIn Table 6, it is noted that there is no statistically significant association between respondents' socio- demographic characteristics and usage of EC.\nAssociation between EC usage and socidemographic status of female undergraduate students of AAU, March, 2010(n = 368)\nN.B: Only sexually active participants who ever heard of EC are included.\n: Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table.\nTable 7 shows that those who were sexual active had a better attitude than sexually inactive participants (crude OR 0.33(0.15-0.71)); this remained significantly associated when it was adjusted for age, region, religion, ethnicity, marital status, department and family education and income (adj. OR 0.36(0.15-0.86)).\nAssociation of EC knowledge, attitude, and practice with sexual activity, AAU female undergraduate students, March, 2010\n*statistically significant\n** remained statistically significant when adjusted with age, region, religion, department, marital status, family income and education\nβ ns: non-significant(OR O.00(0.00-", "As we noted from the result of the actual study, participants who had ever heard of EC were 84.2%; those who had positive attitude towards it were 32.3%. Only 23.4% of the participants were sexually active, and 42% these had unprotected sexual intercourse. Among those who had unprotected sexual intercourse, 75% had ever used EC, which was 30.7% of those who were sexually active and ever heard of EC, and that was only 7.3% of the total participants. There seem to be low usage of EC in the study population due to the high proportion of sexually inactive participants. When the sample was stratified, it was realized that usage of EC was actually high among the sexually active participants.\nAwareness of EC is relatively higher among the participants of this study than other similar studies conducted in Addis Ababa. For example, in a study conducted in 2006 among 636 antenatal care clients of selected Addis Ababa health centers, the women who were aware of EC were only 10.2% and those who had positive attitude were 37.6% [15]. A similar study was conducted in the Western Cape province of South Africa, among 831 sexually active women in selected public clinic; those who were aware of EC were only 30% [16]. In 2009, there was also a similar study conducted among 300 women of age 18-45 years old at Lyari general hospital at Karachi, about 48% of the respondents had ever heard of EC [17].\nThis variation seems to be due to the difference in their level of education, which can have an influence on the awareness level of EC. It is believed that educated people are much more dedicated to their health than non-educated people; and in most of the cases, they can have a tendency to gather information in this regard.\nIn this study, Media was found to be the main source of information for EC. In a similar study conducted in Nigeria among undergraduate college students, the main source of information was through friends/peers [18]. In another study conducted in 2005 among 379 female students of Makerere University of Uganda, only 45.1% had ever heard of EC; their main source of information were also via friends 34% followed by Media 24.8% [19].\nIn the above mentioned study conducted in 2006 among antenatal care clients in Addis Ababa, there were some association between economic status and awareness of EC, those with higher income had a better attitude. Unexpectedly, in this study those with lower family income had a better attitude; this could be explained due to the fact that the main source of information for EC in this study was media which can be accessed by most students in the university regardless of their economic status. In this study, the absence of significant association between attitude and their ethnicity as well as between attitude and religion can be explained by the fact that these study subjects share the same cultural values due to their social interaction in the campus, which influences them to have more or less the same attitude towards EC. In this study, sexually active participants had a better attitude than sexually inactive participants, who are believed to be reluctant about EC.\nIn this study one important aspect we need to give attention to, is the presence of sexual abuse; about 5 students reported that the reason for their unintended pregnancy was due to forced sexual intercourse.\nIt is assumed that the findings of this study can be generalized because of the representative nature of study participants (random sampling) and adequate number of sample size. Although the questionnaire contained some socially sensitive questions, in order to obtain a reliable data, respondents were well informed about the purpose of the study and they were reassured about confidentiality and anonymity. Conducting the study among these study participants who are relatively in higher educational level is novel about the study since this is a good opportunity to elucidate the influence of education in awareness of EC.", "The study showed high level of EC awareness and usage in contrast to other studies in the city; this could be due to the fact that these study participants are relatively in higher educational level in comparison to other women in the city. However, it was shown that there was low level of positive attitude, which in fact could be due to high number of sexually inactive participants, who are expected to be reluctant about the issue. Assessing the knowledge, attitude and usage of EC and the relationship of these factors and some socio-demographic characteristics plays a leading role in public health projects which are aimed to combat maternal mortality through reducing unintended pregnancies. To change attitude towards EC and further increase the level of awareness and usage, collaborated health education and similar studies among health and Media workers are highly recommended. A separate study to assess the level and the type of forced sexual intercourse is also recommended." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Study area", "Study period", "Study design", "Source population", "Sampling technique", "Sample size", "Data collection method", "Ethical consideration", "Data analysis", "Study variables", "Dependent variables", "Independent variables", "Operational definitions", "Results", "Socio demographic characteristics", "Reproductive characteristics", "Knowledge, attitude and practice of EC", "Discussion", "Conclusions", "Supplementary Material" ]
[ "EC is a type of modern contraception which is indicated after unprotected sexual intercourse, following sexual abuse, misuse of regular contraception or non use of contraception [1]. EC plays a vital role in preventing unintended pregnancy, which in turn helps to reduce unintended child birth and unsafe abortion, which are major problems of maternal health [1]. EC is found to be effective if used as soon as possible after unprotected sexual intercourse, especially within 72 hours of unprotected sexual intercourse [2].\nThere are two types of ECs namely, emergency contraceptive pills and intrauterine devices (IUDs). The pills include combined oral contraceptive pills (COCs), and a progestin only pills (POPs); IUDs can be effective if it is inserted within 5 days of unprotected sexual intercourse [3]. EC is said to be safe with minor side effects like nausea and vomiting in case of pills and infection for IUDs if not used properly [3]. Effectiveness of EC said to be 75% in case of COCs and 85% in case of POPs [4]. Regarding the mechanism of action, EC works by preventing fertilization, implantation and tubal transportation of sperm and ovum [4].\nEach year there are about 250 Million pregnancies globally and one third of these are unintended and 20% of these undergo induced abortion [5]. In Low income countries, more that one third of the 182 million pregnancies is unintended; the fate of 19% will be induced abortion and 11% of this is unsafe [5]. In low income countries, the women who do not use any contraceptive contribute to two third of unintended pregnancies, where more than 100 million married women have unmet need for contraception [5]. Unsafe abortion has much ill effects in women's health, each year about 68,000 women die because of unsafe abortion, and millions of women end up with many complications of unsafe abortion, which could include severe infection and bleeding; this could have been immensely reduced by using EC [6]. Each year about 500,000 women die due to cases related with child birth, and majority are in sub Saharan Africa where there is also high fertility rate that is more than five [7]. Globally, it's estimated that 11% births are given by adolescent girls of age 15-19 annually, and 95% of these births are in low income countries, Ethiopia is one of the countries with high adolescent birth rate [8]. Most adolescent pregnancies seem to be intended; just because they happen within marriage but in reality most of them are unintended rather the marriage itself is arranged by the girls' family due to some cultural influences [8]. Adolescent pregnancy affect the health of mother and child, it has a devastating impact in social and psychological life of the girls [8].\nEthiopia is one of the countries with high maternal mortality rate; the estimated rate in 2005 was 673 per 100,000 live births [9]. In one of the surveys conducted in Ethiopia, among 1075 women who presented with abortion, about 58% were between age group of 20-29; and non use of contraceptive contributed to 78% of these pregnancies and rape accounted for 3% of the abortions [10]. In a study conducted in one of the high schools of Ethiopia, the prevalence of attempted rape was 8.8% and the prevalence of performed rape was 11.5% [11].\nDespite the fact that different modern contraceptives exist world wide, the problem of unintended pregnancy still exists, which could be due to gap in awareness, negative attitudes towards contraception, low accessibility or as a result of sexual assault. At times, the knowledge and practice might be there but no contraceptive is 100% effective, and it is always very vital to have EC as a backup method. In one of the studies conducted among 417 women of post abortal care clients in Ethiopia, 59(14.1%) had ever heard of EC, and only 15(8.6%) had ever used EC [12]. In another study among 833 college students in one of the towns of Ethiopia, the magnitude of sexual violence was 47.9%, and unwanted pregnancy was found to be 16.9%; about 228(27.4%) had knowledge about EC, 20(2.4%) had ever used it and about 548(65.8%) had favorable attitude towards use of EC [13].\nConsidering the importance of EC in preventing unintended pregnancy, this study aimed to assess the knowledge, attitude and practice of EC and to further elucidate the relationship between these factors and socioeconomic and demographic characteristics among female undergraduate students of AAU.", " Study area The study was conducted in AAU, the biggest University of Ethiopia, which is located in the capital city of the country, Addis Ababa. Ethiopia is one of the low income countries in sub Saharan Africa, with high fertility rate, which is about 5.4 [14]. In Ethiopia, there are different ethnic groups with different cultures, for example, Amhara, Oromo, and Tigre etc. Christianity and Islam are the major religions in the country [14].\nStudent in this University come from different regions of the country, and this created a favorable condition to compare the results among students of different regions. According to the registrar's office of the University, the total number of students enrolled at the time of the study was about 21, 819 undergraduate students, among these about 6725 were female [unpublished data].\nThe study was conducted in AAU, the biggest University of Ethiopia, which is located in the capital city of the country, Addis Ababa. Ethiopia is one of the low income countries in sub Saharan Africa, with high fertility rate, which is about 5.4 [14]. In Ethiopia, there are different ethnic groups with different cultures, for example, Amhara, Oromo, and Tigre etc. Christianity and Islam are the major religions in the country [14].\nStudent in this University come from different regions of the country, and this created a favorable condition to compare the results among students of different regions. According to the registrar's office of the University, the total number of students enrolled at the time of the study was about 21, 819 undergraduate students, among these about 6725 were female [unpublished data].\n Study period The study was conducted from the beginning of February, 2010 till the beginning of May, 2010.\nThe study was conducted from the beginning of February, 2010 till the beginning of May, 2010.\n Study design A Cross- sectional quantitative study was conducted.\nA Cross- sectional quantitative study was conducted.\n Source population The source population for this study was all female undergraduate students at AAU. According to AAU registrar's office, there were about 6725 female undergraduate students in 2010; 884(13%) of them were admitted to health science departments and 5841(87%) were admitted to non- health science departments.\nThe source population for this study was all female undergraduate students at AAU. According to AAU registrar's office, there were about 6725 female undergraduate students in 2010; 884(13%) of them were admitted to health science departments and 5841(87%) were admitted to non- health science departments.\n Sampling technique To obtain a representative sample, stratified random sampling was applied to select study participants from the source population. First the students were divided in to two practical strata, which were health science students and non-health science students. From each stratum, participants were selected by simple random sampling based on the proportion of the number of female students in each stratum that is 13% health science students and 87% non- health science students. All female undergraduate students at the University were eligible for the study.\nTo obtain a representative sample, stratified random sampling was applied to select study participants from the source population. First the students were divided in to two practical strata, which were health science students and non-health science students. From each stratum, participants were selected by simple random sampling based on the proportion of the number of female students in each stratum that is 13% health science students and 87% non- health science students. All female undergraduate students at the University were eligible for the study.\n Sample size The minimum required sample size was calculated using electronic sample size calculator (with 5% margin of error, 95% confidence level and 50% response distribution); and it was found to be 400(including 10% non-response rate). The total number of students who answered the questionnaire was 368, making the response rate of the study 92%.\nThe minimum required sample size was calculated using electronic sample size calculator (with 5% margin of error, 95% confidence level and 50% response distribution); and it was found to be 400(including 10% non-response rate). The total number of students who answered the questionnaire was 368, making the response rate of the study 92%.\n Data collection method Data was collected using self- administered Questionnaire which [additional file 1] was prepared in English to assess socioeconomic status, reproductive characteristics as well as their knowledge, attitude and practice towards EC. To increase the quality of the data, most of the questions were adapted from previously conducted studies with some changes based on the local context [15]. Likewise, confidentiality and anonymity of the study was reassured. The data was collected while students were in class rooms. The instructors cooperated with the principal investigator in disseminating the questionnaire. In the end, the questionnaires were gathered and checked for completeness by the principal investigator.\nData was collected using self- administered Questionnaire which [additional file 1] was prepared in English to assess socioeconomic status, reproductive characteristics as well as their knowledge, attitude and practice towards EC. To increase the quality of the data, most of the questions were adapted from previously conducted studies with some changes based on the local context [15]. Likewise, confidentiality and anonymity of the study was reassured. The data was collected while students were in class rooms. The instructors cooperated with the principal investigator in disseminating the questionnaire. In the end, the questionnaires were gathered and checked for completeness by the principal investigator.\n Ethical consideration Before the data was collected, official letter from Lund University administration was obtained to ask consent from AAU administration as well as from study participants. The purpose of the study was explained to all study participants; they were also informed that all of their responses are confidential and anonymous, and they have all the right not to be involved in the study or not to answer any of the questions. Ethical approval was issued by Addis Ababa city administration health bureau.\nBefore the data was collected, official letter from Lund University administration was obtained to ask consent from AAU administration as well as from study participants. The purpose of the study was explained to all study participants; they were also informed that all of their responses are confidential and anonymous, and they have all the right not to be involved in the study or not to answer any of the questions. Ethical approval was issued by Addis Ababa city administration health bureau.\n Data analysis Data was entered and analyzed using SPSS version 17 by the principal investigator. Different forms of analysis like descriptive statistics, cross tabulation and logistic regression were applied to present the results. Recoding of data was also done for some variables to fit them in to binary logistic regression model. Adequate time was spent on the analysis to ensure quality.\nData was entered and analyzed using SPSS version 17 by the principal investigator. Different forms of analysis like descriptive statistics, cross tabulation and logistic regression were applied to present the results. Recoding of data was also done for some variables to fit them in to binary logistic regression model. Adequate time was spent on the analysis to ensure quality.\n Study variables Dependent variables Knowledge, attitude and practice of EC. These variables have been defined below under \"operational definitions\".\nKnowledge, attitude and practice of EC. These variables have been defined below under \"operational definitions\".\n Independent variables • Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29.\n• Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist).\n• Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar)\n• Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar\n• Department: Health science and non-health science\n• Marital status: Unmarried, married, divorced and widowed.\n• Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500.\n• Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education.\n• Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29.\n• Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist).\n• Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar)\n• Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar\n• Department: Health science and non-health science\n• Marital status: Unmarried, married, divorced and widowed.\n• Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500.\n• Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education.\n Dependent variables Knowledge, attitude and practice of EC. These variables have been defined below under \"operational definitions\".\nKnowledge, attitude and practice of EC. These variables have been defined below under \"operational definitions\".\n Independent variables • Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29.\n• Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist).\n• Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar)\n• Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar\n• Department: Health science and non-health science\n• Marital status: Unmarried, married, divorced and widowed.\n• Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500.\n• Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education.\n• Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29.\n• Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist).\n• Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar)\n• Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar\n• Department: Health science and non-health science\n• Marital status: Unmarried, married, divorced and widowed.\n• Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500.\n• Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education.\n Operational definitions • Emergency contraception: A kind of contraception indicated after unprotected sexual intercourse to prevent unintended pregnancy.\n• Sexually active: having a previous history of vaginal sexual intercourse.\n• Unintended pregnancy: pregnancy occurred with no plan.\n• Knowledge: awareness of the existence of EC, its importance and effectiveness.\n• Attitude: Intention of using or recommending EC when a need arises. Intending to use or recommend is considered as a positive attitude, and no intention as a negative attitude.\n• Practice: Any previous history of EC usage.\n• High income: Monthly income of more than 500 Ethiopian birr (33 USD)\n• Low income: Monthly income of 150 to 499 Ethiopian Birr (10-32 USD)\n• Media: Radio, Television.\n• Emergency contraception: A kind of contraception indicated after unprotected sexual intercourse to prevent unintended pregnancy.\n• Sexually active: having a previous history of vaginal sexual intercourse.\n• Unintended pregnancy: pregnancy occurred with no plan.\n• Knowledge: awareness of the existence of EC, its importance and effectiveness.\n• Attitude: Intention of using or recommending EC when a need arises. Intending to use or recommend is considered as a positive attitude, and no intention as a negative attitude.\n• Practice: Any previous history of EC usage.\n• High income: Monthly income of more than 500 Ethiopian birr (33 USD)\n• Low income: Monthly income of 150 to 499 Ethiopian Birr (10-32 USD)\n• Media: Radio, Television.", "The study was conducted in AAU, the biggest University of Ethiopia, which is located in the capital city of the country, Addis Ababa. Ethiopia is one of the low income countries in sub Saharan Africa, with high fertility rate, which is about 5.4 [14]. In Ethiopia, there are different ethnic groups with different cultures, for example, Amhara, Oromo, and Tigre etc. Christianity and Islam are the major religions in the country [14].\nStudent in this University come from different regions of the country, and this created a favorable condition to compare the results among students of different regions. According to the registrar's office of the University, the total number of students enrolled at the time of the study was about 21, 819 undergraduate students, among these about 6725 were female [unpublished data].", "The study was conducted from the beginning of February, 2010 till the beginning of May, 2010.", "A Cross- sectional quantitative study was conducted.", "The source population for this study was all female undergraduate students at AAU. According to AAU registrar's office, there were about 6725 female undergraduate students in 2010; 884(13%) of them were admitted to health science departments and 5841(87%) were admitted to non- health science departments.", "To obtain a representative sample, stratified random sampling was applied to select study participants from the source population. First the students were divided in to two practical strata, which were health science students and non-health science students. From each stratum, participants were selected by simple random sampling based on the proportion of the number of female students in each stratum that is 13% health science students and 87% non- health science students. All female undergraduate students at the University were eligible for the study.", "The minimum required sample size was calculated using electronic sample size calculator (with 5% margin of error, 95% confidence level and 50% response distribution); and it was found to be 400(including 10% non-response rate). The total number of students who answered the questionnaire was 368, making the response rate of the study 92%.", "Data was collected using self- administered Questionnaire which [additional file 1] was prepared in English to assess socioeconomic status, reproductive characteristics as well as their knowledge, attitude and practice towards EC. To increase the quality of the data, most of the questions were adapted from previously conducted studies with some changes based on the local context [15]. Likewise, confidentiality and anonymity of the study was reassured. The data was collected while students were in class rooms. The instructors cooperated with the principal investigator in disseminating the questionnaire. In the end, the questionnaires were gathered and checked for completeness by the principal investigator.", "Before the data was collected, official letter from Lund University administration was obtained to ask consent from AAU administration as well as from study participants. The purpose of the study was explained to all study participants; they were also informed that all of their responses are confidential and anonymous, and they have all the right not to be involved in the study or not to answer any of the questions. Ethical approval was issued by Addis Ababa city administration health bureau.", "Data was entered and analyzed using SPSS version 17 by the principal investigator. Different forms of analysis like descriptive statistics, cross tabulation and logistic regression were applied to present the results. Recoding of data was also done for some variables to fit them in to binary logistic regression model. Adequate time was spent on the analysis to ensure quality.", " Dependent variables Knowledge, attitude and practice of EC. These variables have been defined below under \"operational definitions\".\nKnowledge, attitude and practice of EC. These variables have been defined below under \"operational definitions\".\n Independent variables • Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29.\n• Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist).\n• Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar)\n• Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar\n• Department: Health science and non-health science\n• Marital status: Unmarried, married, divorced and widowed.\n• Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500.\n• Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education.\n• Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29.\n• Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist).\n• Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar)\n• Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar\n• Department: Health science and non-health science\n• Marital status: Unmarried, married, divorced and widowed.\n• Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500.\n• Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education.", "Knowledge, attitude and practice of EC. These variables have been defined below under \"operational definitions\".", "• Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29.\n• Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist).\n• Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar)\n• Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar\n• Department: Health science and non-health science\n• Marital status: Unmarried, married, divorced and widowed.\n• Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500.\n• Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education.", "• Emergency contraception: A kind of contraception indicated after unprotected sexual intercourse to prevent unintended pregnancy.\n• Sexually active: having a previous history of vaginal sexual intercourse.\n• Unintended pregnancy: pregnancy occurred with no plan.\n• Knowledge: awareness of the existence of EC, its importance and effectiveness.\n• Attitude: Intention of using or recommending EC when a need arises. Intending to use or recommend is considered as a positive attitude, and no intention as a negative attitude.\n• Practice: Any previous history of EC usage.\n• High income: Monthly income of more than 500 Ethiopian birr (33 USD)\n• Low income: Monthly income of 150 to 499 Ethiopian Birr (10-32 USD)\n• Media: Radio, Television.", " Socio demographic characteristics In this study, a total of 368 students answered the questionnaire (92% response rate). As shown in Table 1, the age range of study participants were from 17 to 29 years old, making the mean and standard deviation of 20.5 and 1.75 respectively. Majority (57.1%) was between the age group 17 to 20 years; 37% between 20 to 23; 4.1% between 23-26; and those between 26-29 years were 7(1.9%). Majority of the respondents 232(63%) were Orthodox Christians by religion, followed by Protestant Christians 79 (21.5%), and Muslims 49(13.3%). Regarding their ethnicity, Amhara was 176(47.%); Oromo, 85(23.1%); Tigre, 44(12%); the rest (17.1%) accounted for SNNP, Somalia, and Afar. Majority of the students (45.1%) had been living in Addis Ababa before entering to the university; the rest had been living in other different regions of Ethiopia. Most of the students (90.5%) were unmarried. Their family income ranged from less than 150 birr which accounts for 6(1.6%) of the students, to more than 1500 birr which were about 163(44.3%) of the students. About 51(13.9%) of the students responded that their mothers can't write and read; and about 102(27.7%) reported that their mothers attended higher education. About their father's education, 155(42.1%) reported their fathers attended higher education, and about 19(5.2%) responded that their fathers can't write and read.\nSocio demographic characteristics of undergraduate female students of AAU, Ethiopia, March, 2010(n = 368)\n1Missing Values: 1(0.33%)\n2Missing Values: 4(1.1%)\nIn this study, a total of 368 students answered the questionnaire (92% response rate). As shown in Table 1, the age range of study participants were from 17 to 29 years old, making the mean and standard deviation of 20.5 and 1.75 respectively. Majority (57.1%) was between the age group 17 to 20 years; 37% between 20 to 23; 4.1% between 23-26; and those between 26-29 years were 7(1.9%). Majority of the respondents 232(63%) were Orthodox Christians by religion, followed by Protestant Christians 79 (21.5%), and Muslims 49(13.3%). Regarding their ethnicity, Amhara was 176(47.%); Oromo, 85(23.1%); Tigre, 44(12%); the rest (17.1%) accounted for SNNP, Somalia, and Afar. Majority of the students (45.1%) had been living in Addis Ababa before entering to the university; the rest had been living in other different regions of Ethiopia. Most of the students (90.5%) were unmarried. Their family income ranged from less than 150 birr which accounts for 6(1.6%) of the students, to more than 1500 birr which were about 163(44.3%) of the students. About 51(13.9%) of the students responded that their mothers can't write and read; and about 102(27.7%) reported that their mothers attended higher education. About their father's education, 155(42.1%) reported their fathers attended higher education, and about 19(5.2%) responded that their fathers can't write and read.\nSocio demographic characteristics of undergraduate female students of AAU, Ethiopia, March, 2010(n = 368)\n1Missing Values: 1(0.33%)\n2Missing Values: 4(1.1%)\n Reproductive characteristics As presented in Table 2, the majority of the study subjects 282(76.6%) were sexually inactive. About 36(9.8%) had history of unprotected sexual intercourse, this was 42% when calculated only among sexually active participants; and 13(3.5%) experienced unintended pregnancy. Regarding the reasons for the unintended pregnancy, 3(0.8%) responded it was due to pressure from the partner, 2(0.5%) by forced sexual intercourse, 2(0.5%) reported it was because they forgot to take contraceptive, 1.6% was due to contraceptive failure.\nReproductive characteristics of female undergraduate students of AAU, Ethiopia, March 2010 (n = 368)\n1Only those who are sexually active answered the questions\n2Only those who are sexually active answered the questions\n3Only those who are sexually active answered the questions\n4Only those who had unintended pregnancy answered the question\nAs presented in Table 2, the majority of the study subjects 282(76.6%) were sexually inactive. About 36(9.8%) had history of unprotected sexual intercourse, this was 42% when calculated only among sexually active participants; and 13(3.5%) experienced unintended pregnancy. Regarding the reasons for the unintended pregnancy, 3(0.8%) responded it was due to pressure from the partner, 2(0.5%) by forced sexual intercourse, 2(0.5%) reported it was because they forgot to take contraceptive, 1.6% was due to contraceptive failure.\nReproductive characteristics of female undergraduate students of AAU, Ethiopia, March 2010 (n = 368)\n1Only those who are sexually active answered the questions\n2Only those who are sexually active answered the questions\n3Only those who are sexually active answered the questions\n4Only those who had unintended pregnancy answered the question\n Knowledge, attitude and practice of EC As it is noted in Table 3, 310(84.2%) had ever heard of EC; and a greater number (336) had ever heard of other contraception. Among the respondents who had ever heard of EC, 85(23.1%) reported that it is 99% effective and 216(58.7%) responded that it is safe to use. Regarding their source of information about EC, 278(75.5%) reported Media, 255(69.3%) health facilities, 108(29.3%) formal education, 29(7.9%) Internet, 15(4.1%) magazine, and 7(1.9) heard from a friend or a relative. Majority of the students (78.3%) responded that ECs are obtained from health institutes, and 302(82.1%) mentioned that EC helps during post rape, 182(49.5%) knew it is worth as a back up when condom breaks, 41(11.1%) thought it is important when oral contraceptive pill (OCP) is forgotten. About the health risks of EC, 49(13.3%) thought it can cause health problems, 33(9%) said it can hurt if it doesn't work, 28(7.6%) reported that it can result in sexually transmitted infection (STI) and Human immuno deficiency virus (HIV) infection. Those respondents who had an intention to use or recommend EC for a friend when a need arises were 119(32.3%). Among those who had unprotected sexual intercourse,75% had ever used EC, that was 30.7% of those who were sexually active and ever heard of EC, and that was only 7.3% of the total participants. Among those who had ever used EC, 15 of them reported that it was recommended by health professional and the rest by a friend. Among the total participants, 48(13%) had ever used other contraception, that was 37.8% of sexually active students that ever heard of other contraception.\nKnowledge, attitude and practice of emergency contraception among undergraduate AAU students, March 2010 (n = 368)\nN.B: Only those who had ever heard of emergency contraceptive answered other knowledge questions.\nTable 4 presents that there is no statistically significant association between students' awareness about the existence of EC and their socio demographic characteristics.\nAssociation between EC awareness and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368)\nN.B. Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table.\nIn Table 5, it is shown that those participants with low family income had a better attitude than those with high family income (crude OR 2.12(1.06-4.18)); this significant association remained when it was adjusted for age, region, religion, ethnicity, marital status, and family education. (Adj.0R 2.47(1.06-5.78)).\nAssociation between EC attitude and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368)\n*statistically significant\n** Statistically significant after adjusted for other variables shown on the table.\nIn Table 6, it is noted that there is no statistically significant association between respondents' socio- demographic characteristics and usage of EC.\nAssociation between EC usage and socidemographic status of female undergraduate students of AAU, March, 2010(n = 368)\nN.B: Only sexually active participants who ever heard of EC are included.\n: Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table.\nTable 7 shows that those who were sexual active had a better attitude than sexually inactive participants (crude OR 0.33(0.15-0.71)); this remained significantly associated when it was adjusted for age, region, religion, ethnicity, marital status, department and family education and income (adj. OR 0.36(0.15-0.86)).\nAssociation of EC knowledge, attitude, and practice with sexual activity, AAU female undergraduate students, March, 2010\n*statistically significant\n** remained statistically significant when adjusted with age, region, religion, department, marital status, family income and education\nβ ns: non-significant(OR O.00(0.00-\nAs it is noted in Table 3, 310(84.2%) had ever heard of EC; and a greater number (336) had ever heard of other contraception. Among the respondents who had ever heard of EC, 85(23.1%) reported that it is 99% effective and 216(58.7%) responded that it is safe to use. Regarding their source of information about EC, 278(75.5%) reported Media, 255(69.3%) health facilities, 108(29.3%) formal education, 29(7.9%) Internet, 15(4.1%) magazine, and 7(1.9) heard from a friend or a relative. Majority of the students (78.3%) responded that ECs are obtained from health institutes, and 302(82.1%) mentioned that EC helps during post rape, 182(49.5%) knew it is worth as a back up when condom breaks, 41(11.1%) thought it is important when oral contraceptive pill (OCP) is forgotten. About the health risks of EC, 49(13.3%) thought it can cause health problems, 33(9%) said it can hurt if it doesn't work, 28(7.6%) reported that it can result in sexually transmitted infection (STI) and Human immuno deficiency virus (HIV) infection. Those respondents who had an intention to use or recommend EC for a friend when a need arises were 119(32.3%). Among those who had unprotected sexual intercourse,75% had ever used EC, that was 30.7% of those who were sexually active and ever heard of EC, and that was only 7.3% of the total participants. Among those who had ever used EC, 15 of them reported that it was recommended by health professional and the rest by a friend. Among the total participants, 48(13%) had ever used other contraception, that was 37.8% of sexually active students that ever heard of other contraception.\nKnowledge, attitude and practice of emergency contraception among undergraduate AAU students, March 2010 (n = 368)\nN.B: Only those who had ever heard of emergency contraceptive answered other knowledge questions.\nTable 4 presents that there is no statistically significant association between students' awareness about the existence of EC and their socio demographic characteristics.\nAssociation between EC awareness and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368)\nN.B. Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table.\nIn Table 5, it is shown that those participants with low family income had a better attitude than those with high family income (crude OR 2.12(1.06-4.18)); this significant association remained when it was adjusted for age, region, religion, ethnicity, marital status, and family education. (Adj.0R 2.47(1.06-5.78)).\nAssociation between EC attitude and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368)\n*statistically significant\n** Statistically significant after adjusted for other variables shown on the table.\nIn Table 6, it is noted that there is no statistically significant association between respondents' socio- demographic characteristics and usage of EC.\nAssociation between EC usage and socidemographic status of female undergraduate students of AAU, March, 2010(n = 368)\nN.B: Only sexually active participants who ever heard of EC are included.\n: Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table.\nTable 7 shows that those who were sexual active had a better attitude than sexually inactive participants (crude OR 0.33(0.15-0.71)); this remained significantly associated when it was adjusted for age, region, religion, ethnicity, marital status, department and family education and income (adj. OR 0.36(0.15-0.86)).\nAssociation of EC knowledge, attitude, and practice with sexual activity, AAU female undergraduate students, March, 2010\n*statistically significant\n** remained statistically significant when adjusted with age, region, religion, department, marital status, family income and education\nβ ns: non-significant(OR O.00(0.00-", "In this study, a total of 368 students answered the questionnaire (92% response rate). As shown in Table 1, the age range of study participants were from 17 to 29 years old, making the mean and standard deviation of 20.5 and 1.75 respectively. Majority (57.1%) was between the age group 17 to 20 years; 37% between 20 to 23; 4.1% between 23-26; and those between 26-29 years were 7(1.9%). Majority of the respondents 232(63%) were Orthodox Christians by religion, followed by Protestant Christians 79 (21.5%), and Muslims 49(13.3%). Regarding their ethnicity, Amhara was 176(47.%); Oromo, 85(23.1%); Tigre, 44(12%); the rest (17.1%) accounted for SNNP, Somalia, and Afar. Majority of the students (45.1%) had been living in Addis Ababa before entering to the university; the rest had been living in other different regions of Ethiopia. Most of the students (90.5%) were unmarried. Their family income ranged from less than 150 birr which accounts for 6(1.6%) of the students, to more than 1500 birr which were about 163(44.3%) of the students. About 51(13.9%) of the students responded that their mothers can't write and read; and about 102(27.7%) reported that their mothers attended higher education. About their father's education, 155(42.1%) reported their fathers attended higher education, and about 19(5.2%) responded that their fathers can't write and read.\nSocio demographic characteristics of undergraduate female students of AAU, Ethiopia, March, 2010(n = 368)\n1Missing Values: 1(0.33%)\n2Missing Values: 4(1.1%)", "As presented in Table 2, the majority of the study subjects 282(76.6%) were sexually inactive. About 36(9.8%) had history of unprotected sexual intercourse, this was 42% when calculated only among sexually active participants; and 13(3.5%) experienced unintended pregnancy. Regarding the reasons for the unintended pregnancy, 3(0.8%) responded it was due to pressure from the partner, 2(0.5%) by forced sexual intercourse, 2(0.5%) reported it was because they forgot to take contraceptive, 1.6% was due to contraceptive failure.\nReproductive characteristics of female undergraduate students of AAU, Ethiopia, March 2010 (n = 368)\n1Only those who are sexually active answered the questions\n2Only those who are sexually active answered the questions\n3Only those who are sexually active answered the questions\n4Only those who had unintended pregnancy answered the question", "As it is noted in Table 3, 310(84.2%) had ever heard of EC; and a greater number (336) had ever heard of other contraception. Among the respondents who had ever heard of EC, 85(23.1%) reported that it is 99% effective and 216(58.7%) responded that it is safe to use. Regarding their source of information about EC, 278(75.5%) reported Media, 255(69.3%) health facilities, 108(29.3%) formal education, 29(7.9%) Internet, 15(4.1%) magazine, and 7(1.9) heard from a friend or a relative. Majority of the students (78.3%) responded that ECs are obtained from health institutes, and 302(82.1%) mentioned that EC helps during post rape, 182(49.5%) knew it is worth as a back up when condom breaks, 41(11.1%) thought it is important when oral contraceptive pill (OCP) is forgotten. About the health risks of EC, 49(13.3%) thought it can cause health problems, 33(9%) said it can hurt if it doesn't work, 28(7.6%) reported that it can result in sexually transmitted infection (STI) and Human immuno deficiency virus (HIV) infection. Those respondents who had an intention to use or recommend EC for a friend when a need arises were 119(32.3%). Among those who had unprotected sexual intercourse,75% had ever used EC, that was 30.7% of those who were sexually active and ever heard of EC, and that was only 7.3% of the total participants. Among those who had ever used EC, 15 of them reported that it was recommended by health professional and the rest by a friend. Among the total participants, 48(13%) had ever used other contraception, that was 37.8% of sexually active students that ever heard of other contraception.\nKnowledge, attitude and practice of emergency contraception among undergraduate AAU students, March 2010 (n = 368)\nN.B: Only those who had ever heard of emergency contraceptive answered other knowledge questions.\nTable 4 presents that there is no statistically significant association between students' awareness about the existence of EC and their socio demographic characteristics.\nAssociation between EC awareness and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368)\nN.B. Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table.\nIn Table 5, it is shown that those participants with low family income had a better attitude than those with high family income (crude OR 2.12(1.06-4.18)); this significant association remained when it was adjusted for age, region, religion, ethnicity, marital status, and family education. (Adj.0R 2.47(1.06-5.78)).\nAssociation between EC attitude and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368)\n*statistically significant\n** Statistically significant after adjusted for other variables shown on the table.\nIn Table 6, it is noted that there is no statistically significant association between respondents' socio- demographic characteristics and usage of EC.\nAssociation between EC usage and socidemographic status of female undergraduate students of AAU, March, 2010(n = 368)\nN.B: Only sexually active participants who ever heard of EC are included.\n: Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table.\nTable 7 shows that those who were sexual active had a better attitude than sexually inactive participants (crude OR 0.33(0.15-0.71)); this remained significantly associated when it was adjusted for age, region, religion, ethnicity, marital status, department and family education and income (adj. OR 0.36(0.15-0.86)).\nAssociation of EC knowledge, attitude, and practice with sexual activity, AAU female undergraduate students, March, 2010\n*statistically significant\n** remained statistically significant when adjusted with age, region, religion, department, marital status, family income and education\nβ ns: non-significant(OR O.00(0.00-", "As we noted from the result of the actual study, participants who had ever heard of EC were 84.2%; those who had positive attitude towards it were 32.3%. Only 23.4% of the participants were sexually active, and 42% these had unprotected sexual intercourse. Among those who had unprotected sexual intercourse, 75% had ever used EC, which was 30.7% of those who were sexually active and ever heard of EC, and that was only 7.3% of the total participants. There seem to be low usage of EC in the study population due to the high proportion of sexually inactive participants. When the sample was stratified, it was realized that usage of EC was actually high among the sexually active participants.\nAwareness of EC is relatively higher among the participants of this study than other similar studies conducted in Addis Ababa. For example, in a study conducted in 2006 among 636 antenatal care clients of selected Addis Ababa health centers, the women who were aware of EC were only 10.2% and those who had positive attitude were 37.6% [15]. A similar study was conducted in the Western Cape province of South Africa, among 831 sexually active women in selected public clinic; those who were aware of EC were only 30% [16]. In 2009, there was also a similar study conducted among 300 women of age 18-45 years old at Lyari general hospital at Karachi, about 48% of the respondents had ever heard of EC [17].\nThis variation seems to be due to the difference in their level of education, which can have an influence on the awareness level of EC. It is believed that educated people are much more dedicated to their health than non-educated people; and in most of the cases, they can have a tendency to gather information in this regard.\nIn this study, Media was found to be the main source of information for EC. In a similar study conducted in Nigeria among undergraduate college students, the main source of information was through friends/peers [18]. In another study conducted in 2005 among 379 female students of Makerere University of Uganda, only 45.1% had ever heard of EC; their main source of information were also via friends 34% followed by Media 24.8% [19].\nIn the above mentioned study conducted in 2006 among antenatal care clients in Addis Ababa, there were some association between economic status and awareness of EC, those with higher income had a better attitude. Unexpectedly, in this study those with lower family income had a better attitude; this could be explained due to the fact that the main source of information for EC in this study was media which can be accessed by most students in the university regardless of their economic status. In this study, the absence of significant association between attitude and their ethnicity as well as between attitude and religion can be explained by the fact that these study subjects share the same cultural values due to their social interaction in the campus, which influences them to have more or less the same attitude towards EC. In this study, sexually active participants had a better attitude than sexually inactive participants, who are believed to be reluctant about EC.\nIn this study one important aspect we need to give attention to, is the presence of sexual abuse; about 5 students reported that the reason for their unintended pregnancy was due to forced sexual intercourse.\nIt is assumed that the findings of this study can be generalized because of the representative nature of study participants (random sampling) and adequate number of sample size. Although the questionnaire contained some socially sensitive questions, in order to obtain a reliable data, respondents were well informed about the purpose of the study and they were reassured about confidentiality and anonymity. Conducting the study among these study participants who are relatively in higher educational level is novel about the study since this is a good opportunity to elucidate the influence of education in awareness of EC.", "The study showed high level of EC awareness and usage in contrast to other studies in the city; this could be due to the fact that these study participants are relatively in higher educational level in comparison to other women in the city. However, it was shown that there was low level of positive attitude, which in fact could be due to high number of sexually inactive participants, who are expected to be reluctant about the issue. Assessing the knowledge, attitude and usage of EC and the relationship of these factors and some socio-demographic characteristics plays a leading role in public health projects which are aimed to combat maternal mortality through reducing unintended pregnancies. To change attitude towards EC and further increase the level of awareness and usage, collaborated health education and similar studies among health and Media workers are highly recommended. A separate study to assess the level and the type of forced sexual intercourse is also recommended.", "Questionnaire. Format to assess the knowledge, attitude and practice towards emergency contraception among Addis Ababa University under graduate female students, Ethiopia.\nClick here for file" ]
[ null, "methods", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "supplementary-material" ]
[ "Emergency contraception", "Knowledge", "Attitude", "Practice", "Addis Ababa University", "Ethiopia" ]
Background: EC is a type of modern contraception which is indicated after unprotected sexual intercourse, following sexual abuse, misuse of regular contraception or non use of contraception [1]. EC plays a vital role in preventing unintended pregnancy, which in turn helps to reduce unintended child birth and unsafe abortion, which are major problems of maternal health [1]. EC is found to be effective if used as soon as possible after unprotected sexual intercourse, especially within 72 hours of unprotected sexual intercourse [2]. There are two types of ECs namely, emergency contraceptive pills and intrauterine devices (IUDs). The pills include combined oral contraceptive pills (COCs), and a progestin only pills (POPs); IUDs can be effective if it is inserted within 5 days of unprotected sexual intercourse [3]. EC is said to be safe with minor side effects like nausea and vomiting in case of pills and infection for IUDs if not used properly [3]. Effectiveness of EC said to be 75% in case of COCs and 85% in case of POPs [4]. Regarding the mechanism of action, EC works by preventing fertilization, implantation and tubal transportation of sperm and ovum [4]. Each year there are about 250 Million pregnancies globally and one third of these are unintended and 20% of these undergo induced abortion [5]. In Low income countries, more that one third of the 182 million pregnancies is unintended; the fate of 19% will be induced abortion and 11% of this is unsafe [5]. In low income countries, the women who do not use any contraceptive contribute to two third of unintended pregnancies, where more than 100 million married women have unmet need for contraception [5]. Unsafe abortion has much ill effects in women's health, each year about 68,000 women die because of unsafe abortion, and millions of women end up with many complications of unsafe abortion, which could include severe infection and bleeding; this could have been immensely reduced by using EC [6]. Each year about 500,000 women die due to cases related with child birth, and majority are in sub Saharan Africa where there is also high fertility rate that is more than five [7]. Globally, it's estimated that 11% births are given by adolescent girls of age 15-19 annually, and 95% of these births are in low income countries, Ethiopia is one of the countries with high adolescent birth rate [8]. Most adolescent pregnancies seem to be intended; just because they happen within marriage but in reality most of them are unintended rather the marriage itself is arranged by the girls' family due to some cultural influences [8]. Adolescent pregnancy affect the health of mother and child, it has a devastating impact in social and psychological life of the girls [8]. Ethiopia is one of the countries with high maternal mortality rate; the estimated rate in 2005 was 673 per 100,000 live births [9]. In one of the surveys conducted in Ethiopia, among 1075 women who presented with abortion, about 58% were between age group of 20-29; and non use of contraceptive contributed to 78% of these pregnancies and rape accounted for 3% of the abortions [10]. In a study conducted in one of the high schools of Ethiopia, the prevalence of attempted rape was 8.8% and the prevalence of performed rape was 11.5% [11]. Despite the fact that different modern contraceptives exist world wide, the problem of unintended pregnancy still exists, which could be due to gap in awareness, negative attitudes towards contraception, low accessibility or as a result of sexual assault. At times, the knowledge and practice might be there but no contraceptive is 100% effective, and it is always very vital to have EC as a backup method. In one of the studies conducted among 417 women of post abortal care clients in Ethiopia, 59(14.1%) had ever heard of EC, and only 15(8.6%) had ever used EC [12]. In another study among 833 college students in one of the towns of Ethiopia, the magnitude of sexual violence was 47.9%, and unwanted pregnancy was found to be 16.9%; about 228(27.4%) had knowledge about EC, 20(2.4%) had ever used it and about 548(65.8%) had favorable attitude towards use of EC [13]. Considering the importance of EC in preventing unintended pregnancy, this study aimed to assess the knowledge, attitude and practice of EC and to further elucidate the relationship between these factors and socioeconomic and demographic characteristics among female undergraduate students of AAU. Methods: Study area The study was conducted in AAU, the biggest University of Ethiopia, which is located in the capital city of the country, Addis Ababa. Ethiopia is one of the low income countries in sub Saharan Africa, with high fertility rate, which is about 5.4 [14]. In Ethiopia, there are different ethnic groups with different cultures, for example, Amhara, Oromo, and Tigre etc. Christianity and Islam are the major religions in the country [14]. Student in this University come from different regions of the country, and this created a favorable condition to compare the results among students of different regions. According to the registrar's office of the University, the total number of students enrolled at the time of the study was about 21, 819 undergraduate students, among these about 6725 were female [unpublished data]. The study was conducted in AAU, the biggest University of Ethiopia, which is located in the capital city of the country, Addis Ababa. Ethiopia is one of the low income countries in sub Saharan Africa, with high fertility rate, which is about 5.4 [14]. In Ethiopia, there are different ethnic groups with different cultures, for example, Amhara, Oromo, and Tigre etc. Christianity and Islam are the major religions in the country [14]. Student in this University come from different regions of the country, and this created a favorable condition to compare the results among students of different regions. According to the registrar's office of the University, the total number of students enrolled at the time of the study was about 21, 819 undergraduate students, among these about 6725 were female [unpublished data]. Study period The study was conducted from the beginning of February, 2010 till the beginning of May, 2010. The study was conducted from the beginning of February, 2010 till the beginning of May, 2010. Study design A Cross- sectional quantitative study was conducted. A Cross- sectional quantitative study was conducted. Source population The source population for this study was all female undergraduate students at AAU. According to AAU registrar's office, there were about 6725 female undergraduate students in 2010; 884(13%) of them were admitted to health science departments and 5841(87%) were admitted to non- health science departments. The source population for this study was all female undergraduate students at AAU. According to AAU registrar's office, there were about 6725 female undergraduate students in 2010; 884(13%) of them were admitted to health science departments and 5841(87%) were admitted to non- health science departments. Sampling technique To obtain a representative sample, stratified random sampling was applied to select study participants from the source population. First the students were divided in to two practical strata, which were health science students and non-health science students. From each stratum, participants were selected by simple random sampling based on the proportion of the number of female students in each stratum that is 13% health science students and 87% non- health science students. All female undergraduate students at the University were eligible for the study. To obtain a representative sample, stratified random sampling was applied to select study participants from the source population. First the students were divided in to two practical strata, which were health science students and non-health science students. From each stratum, participants were selected by simple random sampling based on the proportion of the number of female students in each stratum that is 13% health science students and 87% non- health science students. All female undergraduate students at the University were eligible for the study. Sample size The minimum required sample size was calculated using electronic sample size calculator (with 5% margin of error, 95% confidence level and 50% response distribution); and it was found to be 400(including 10% non-response rate). The total number of students who answered the questionnaire was 368, making the response rate of the study 92%. The minimum required sample size was calculated using electronic sample size calculator (with 5% margin of error, 95% confidence level and 50% response distribution); and it was found to be 400(including 10% non-response rate). The total number of students who answered the questionnaire was 368, making the response rate of the study 92%. Data collection method Data was collected using self- administered Questionnaire which [additional file 1] was prepared in English to assess socioeconomic status, reproductive characteristics as well as their knowledge, attitude and practice towards EC. To increase the quality of the data, most of the questions were adapted from previously conducted studies with some changes based on the local context [15]. Likewise, confidentiality and anonymity of the study was reassured. The data was collected while students were in class rooms. The instructors cooperated with the principal investigator in disseminating the questionnaire. In the end, the questionnaires were gathered and checked for completeness by the principal investigator. Data was collected using self- administered Questionnaire which [additional file 1] was prepared in English to assess socioeconomic status, reproductive characteristics as well as their knowledge, attitude and practice towards EC. To increase the quality of the data, most of the questions were adapted from previously conducted studies with some changes based on the local context [15]. Likewise, confidentiality and anonymity of the study was reassured. The data was collected while students were in class rooms. The instructors cooperated with the principal investigator in disseminating the questionnaire. In the end, the questionnaires were gathered and checked for completeness by the principal investigator. Ethical consideration Before the data was collected, official letter from Lund University administration was obtained to ask consent from AAU administration as well as from study participants. The purpose of the study was explained to all study participants; they were also informed that all of their responses are confidential and anonymous, and they have all the right not to be involved in the study or not to answer any of the questions. Ethical approval was issued by Addis Ababa city administration health bureau. Before the data was collected, official letter from Lund University administration was obtained to ask consent from AAU administration as well as from study participants. The purpose of the study was explained to all study participants; they were also informed that all of their responses are confidential and anonymous, and they have all the right not to be involved in the study or not to answer any of the questions. Ethical approval was issued by Addis Ababa city administration health bureau. Data analysis Data was entered and analyzed using SPSS version 17 by the principal investigator. Different forms of analysis like descriptive statistics, cross tabulation and logistic regression were applied to present the results. Recoding of data was also done for some variables to fit them in to binary logistic regression model. Adequate time was spent on the analysis to ensure quality. Data was entered and analyzed using SPSS version 17 by the principal investigator. Different forms of analysis like descriptive statistics, cross tabulation and logistic regression were applied to present the results. Recoding of data was also done for some variables to fit them in to binary logistic regression model. Adequate time was spent on the analysis to ensure quality. Study variables Dependent variables Knowledge, attitude and practice of EC. These variables have been defined below under "operational definitions". Knowledge, attitude and practice of EC. These variables have been defined below under "operational definitions". Independent variables • Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29. • Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist). • Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar) • Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar • Department: Health science and non-health science • Marital status: Unmarried, married, divorced and widowed. • Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500. • Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education. • Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29. • Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist). • Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar) • Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar • Department: Health science and non-health science • Marital status: Unmarried, married, divorced and widowed. • Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500. • Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education. Dependent variables Knowledge, attitude and practice of EC. These variables have been defined below under "operational definitions". Knowledge, attitude and practice of EC. These variables have been defined below under "operational definitions". Independent variables • Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29. • Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist). • Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar) • Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar • Department: Health science and non-health science • Marital status: Unmarried, married, divorced and widowed. • Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500. • Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education. • Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29. • Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist). • Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar) • Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar • Department: Health science and non-health science • Marital status: Unmarried, married, divorced and widowed. • Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500. • Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education. Operational definitions • Emergency contraception: A kind of contraception indicated after unprotected sexual intercourse to prevent unintended pregnancy. • Sexually active: having a previous history of vaginal sexual intercourse. • Unintended pregnancy: pregnancy occurred with no plan. • Knowledge: awareness of the existence of EC, its importance and effectiveness. • Attitude: Intention of using or recommending EC when a need arises. Intending to use or recommend is considered as a positive attitude, and no intention as a negative attitude. • Practice: Any previous history of EC usage. • High income: Monthly income of more than 500 Ethiopian birr (33 USD) • Low income: Monthly income of 150 to 499 Ethiopian Birr (10-32 USD) • Media: Radio, Television. • Emergency contraception: A kind of contraception indicated after unprotected sexual intercourse to prevent unintended pregnancy. • Sexually active: having a previous history of vaginal sexual intercourse. • Unintended pregnancy: pregnancy occurred with no plan. • Knowledge: awareness of the existence of EC, its importance and effectiveness. • Attitude: Intention of using or recommending EC when a need arises. Intending to use or recommend is considered as a positive attitude, and no intention as a negative attitude. • Practice: Any previous history of EC usage. • High income: Monthly income of more than 500 Ethiopian birr (33 USD) • Low income: Monthly income of 150 to 499 Ethiopian Birr (10-32 USD) • Media: Radio, Television. Study area: The study was conducted in AAU, the biggest University of Ethiopia, which is located in the capital city of the country, Addis Ababa. Ethiopia is one of the low income countries in sub Saharan Africa, with high fertility rate, which is about 5.4 [14]. In Ethiopia, there are different ethnic groups with different cultures, for example, Amhara, Oromo, and Tigre etc. Christianity and Islam are the major religions in the country [14]. Student in this University come from different regions of the country, and this created a favorable condition to compare the results among students of different regions. According to the registrar's office of the University, the total number of students enrolled at the time of the study was about 21, 819 undergraduate students, among these about 6725 were female [unpublished data]. Study period: The study was conducted from the beginning of February, 2010 till the beginning of May, 2010. Study design: A Cross- sectional quantitative study was conducted. Source population: The source population for this study was all female undergraduate students at AAU. According to AAU registrar's office, there were about 6725 female undergraduate students in 2010; 884(13%) of them were admitted to health science departments and 5841(87%) were admitted to non- health science departments. Sampling technique: To obtain a representative sample, stratified random sampling was applied to select study participants from the source population. First the students were divided in to two practical strata, which were health science students and non-health science students. From each stratum, participants were selected by simple random sampling based on the proportion of the number of female students in each stratum that is 13% health science students and 87% non- health science students. All female undergraduate students at the University were eligible for the study. Sample size: The minimum required sample size was calculated using electronic sample size calculator (with 5% margin of error, 95% confidence level and 50% response distribution); and it was found to be 400(including 10% non-response rate). The total number of students who answered the questionnaire was 368, making the response rate of the study 92%. Data collection method: Data was collected using self- administered Questionnaire which [additional file 1] was prepared in English to assess socioeconomic status, reproductive characteristics as well as their knowledge, attitude and practice towards EC. To increase the quality of the data, most of the questions were adapted from previously conducted studies with some changes based on the local context [15]. Likewise, confidentiality and anonymity of the study was reassured. The data was collected while students were in class rooms. The instructors cooperated with the principal investigator in disseminating the questionnaire. In the end, the questionnaires were gathered and checked for completeness by the principal investigator. Ethical consideration: Before the data was collected, official letter from Lund University administration was obtained to ask consent from AAU administration as well as from study participants. The purpose of the study was explained to all study participants; they were also informed that all of their responses are confidential and anonymous, and they have all the right not to be involved in the study or not to answer any of the questions. Ethical approval was issued by Addis Ababa city administration health bureau. Data analysis: Data was entered and analyzed using SPSS version 17 by the principal investigator. Different forms of analysis like descriptive statistics, cross tabulation and logistic regression were applied to present the results. Recoding of data was also done for some variables to fit them in to binary logistic regression model. Adequate time was spent on the analysis to ensure quality. Study variables: Dependent variables Knowledge, attitude and practice of EC. These variables have been defined below under "operational definitions". Knowledge, attitude and practice of EC. These variables have been defined below under "operational definitions". Independent variables • Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29. • Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist). • Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar) • Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar • Department: Health science and non-health science • Marital status: Unmarried, married, divorced and widowed. • Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500. • Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education. • Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29. • Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist). • Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar) • Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar • Department: Health science and non-health science • Marital status: Unmarried, married, divorced and widowed. • Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500. • Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education. Dependent variables: Knowledge, attitude and practice of EC. These variables have been defined below under "operational definitions". Independent variables: • Age (in years): different age groups: 17-20, 21-23, 24-26, 27-29. • Religion: Orthodox Christian, Protestant, Muslim, and Others (Catholic, 7th Adventist). • Ethnicity: Amhara, Oromo, Tigre, and others (Somalia, SNNP, Affar) • Region: Addis Ababa, Oromo, Amhara, SNNP, Tigri, Harar, Affar • Department: Health science and non-health science • Marital status: Unmarried, married, divorced and widowed. • Family monthly income (in birr): less than 150, 150-249,250-499,500-999, 1000-1499, more than 1500. • Parents' educational status: Can't write and read, can write and read, primary school (1-8th), secondary school (9-12th), and Higher education. Operational definitions: • Emergency contraception: A kind of contraception indicated after unprotected sexual intercourse to prevent unintended pregnancy. • Sexually active: having a previous history of vaginal sexual intercourse. • Unintended pregnancy: pregnancy occurred with no plan. • Knowledge: awareness of the existence of EC, its importance and effectiveness. • Attitude: Intention of using or recommending EC when a need arises. Intending to use or recommend is considered as a positive attitude, and no intention as a negative attitude. • Practice: Any previous history of EC usage. • High income: Monthly income of more than 500 Ethiopian birr (33 USD) • Low income: Monthly income of 150 to 499 Ethiopian Birr (10-32 USD) • Media: Radio, Television. Results: Socio demographic characteristics In this study, a total of 368 students answered the questionnaire (92% response rate). As shown in Table 1, the age range of study participants were from 17 to 29 years old, making the mean and standard deviation of 20.5 and 1.75 respectively. Majority (57.1%) was between the age group 17 to 20 years; 37% between 20 to 23; 4.1% between 23-26; and those between 26-29 years were 7(1.9%). Majority of the respondents 232(63%) were Orthodox Christians by religion, followed by Protestant Christians 79 (21.5%), and Muslims 49(13.3%). Regarding their ethnicity, Amhara was 176(47.%); Oromo, 85(23.1%); Tigre, 44(12%); the rest (17.1%) accounted for SNNP, Somalia, and Afar. Majority of the students (45.1%) had been living in Addis Ababa before entering to the university; the rest had been living in other different regions of Ethiopia. Most of the students (90.5%) were unmarried. Their family income ranged from less than 150 birr which accounts for 6(1.6%) of the students, to more than 1500 birr which were about 163(44.3%) of the students. About 51(13.9%) of the students responded that their mothers can't write and read; and about 102(27.7%) reported that their mothers attended higher education. About their father's education, 155(42.1%) reported their fathers attended higher education, and about 19(5.2%) responded that their fathers can't write and read. Socio demographic characteristics of undergraduate female students of AAU, Ethiopia, March, 2010(n = 368) 1Missing Values: 1(0.33%) 2Missing Values: 4(1.1%) In this study, a total of 368 students answered the questionnaire (92% response rate). As shown in Table 1, the age range of study participants were from 17 to 29 years old, making the mean and standard deviation of 20.5 and 1.75 respectively. Majority (57.1%) was between the age group 17 to 20 years; 37% between 20 to 23; 4.1% between 23-26; and those between 26-29 years were 7(1.9%). Majority of the respondents 232(63%) were Orthodox Christians by religion, followed by Protestant Christians 79 (21.5%), and Muslims 49(13.3%). Regarding their ethnicity, Amhara was 176(47.%); Oromo, 85(23.1%); Tigre, 44(12%); the rest (17.1%) accounted for SNNP, Somalia, and Afar. Majority of the students (45.1%) had been living in Addis Ababa before entering to the university; the rest had been living in other different regions of Ethiopia. Most of the students (90.5%) were unmarried. Their family income ranged from less than 150 birr which accounts for 6(1.6%) of the students, to more than 1500 birr which were about 163(44.3%) of the students. About 51(13.9%) of the students responded that their mothers can't write and read; and about 102(27.7%) reported that their mothers attended higher education. About their father's education, 155(42.1%) reported their fathers attended higher education, and about 19(5.2%) responded that their fathers can't write and read. Socio demographic characteristics of undergraduate female students of AAU, Ethiopia, March, 2010(n = 368) 1Missing Values: 1(0.33%) 2Missing Values: 4(1.1%) Reproductive characteristics As presented in Table 2, the majority of the study subjects 282(76.6%) were sexually inactive. About 36(9.8%) had history of unprotected sexual intercourse, this was 42% when calculated only among sexually active participants; and 13(3.5%) experienced unintended pregnancy. Regarding the reasons for the unintended pregnancy, 3(0.8%) responded it was due to pressure from the partner, 2(0.5%) by forced sexual intercourse, 2(0.5%) reported it was because they forgot to take contraceptive, 1.6% was due to contraceptive failure. Reproductive characteristics of female undergraduate students of AAU, Ethiopia, March 2010 (n = 368) 1Only those who are sexually active answered the questions 2Only those who are sexually active answered the questions 3Only those who are sexually active answered the questions 4Only those who had unintended pregnancy answered the question As presented in Table 2, the majority of the study subjects 282(76.6%) were sexually inactive. About 36(9.8%) had history of unprotected sexual intercourse, this was 42% when calculated only among sexually active participants; and 13(3.5%) experienced unintended pregnancy. Regarding the reasons for the unintended pregnancy, 3(0.8%) responded it was due to pressure from the partner, 2(0.5%) by forced sexual intercourse, 2(0.5%) reported it was because they forgot to take contraceptive, 1.6% was due to contraceptive failure. Reproductive characteristics of female undergraduate students of AAU, Ethiopia, March 2010 (n = 368) 1Only those who are sexually active answered the questions 2Only those who are sexually active answered the questions 3Only those who are sexually active answered the questions 4Only those who had unintended pregnancy answered the question Knowledge, attitude and practice of EC As it is noted in Table 3, 310(84.2%) had ever heard of EC; and a greater number (336) had ever heard of other contraception. Among the respondents who had ever heard of EC, 85(23.1%) reported that it is 99% effective and 216(58.7%) responded that it is safe to use. Regarding their source of information about EC, 278(75.5%) reported Media, 255(69.3%) health facilities, 108(29.3%) formal education, 29(7.9%) Internet, 15(4.1%) magazine, and 7(1.9) heard from a friend or a relative. Majority of the students (78.3%) responded that ECs are obtained from health institutes, and 302(82.1%) mentioned that EC helps during post rape, 182(49.5%) knew it is worth as a back up when condom breaks, 41(11.1%) thought it is important when oral contraceptive pill (OCP) is forgotten. About the health risks of EC, 49(13.3%) thought it can cause health problems, 33(9%) said it can hurt if it doesn't work, 28(7.6%) reported that it can result in sexually transmitted infection (STI) and Human immuno deficiency virus (HIV) infection. Those respondents who had an intention to use or recommend EC for a friend when a need arises were 119(32.3%). Among those who had unprotected sexual intercourse,75% had ever used EC, that was 30.7% of those who were sexually active and ever heard of EC, and that was only 7.3% of the total participants. Among those who had ever used EC, 15 of them reported that it was recommended by health professional and the rest by a friend. Among the total participants, 48(13%) had ever used other contraception, that was 37.8% of sexually active students that ever heard of other contraception. Knowledge, attitude and practice of emergency contraception among undergraduate AAU students, March 2010 (n = 368) N.B: Only those who had ever heard of emergency contraceptive answered other knowledge questions. Table 4 presents that there is no statistically significant association between students' awareness about the existence of EC and their socio demographic characteristics. Association between EC awareness and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368) N.B. Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table. In Table 5, it is shown that those participants with low family income had a better attitude than those with high family income (crude OR 2.12(1.06-4.18)); this significant association remained when it was adjusted for age, region, religion, ethnicity, marital status, and family education. (Adj.0R 2.47(1.06-5.78)). Association between EC attitude and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368) *statistically significant ** Statistically significant after adjusted for other variables shown on the table. In Table 6, it is noted that there is no statistically significant association between respondents' socio- demographic characteristics and usage of EC. Association between EC usage and socidemographic status of female undergraduate students of AAU, March, 2010(n = 368) N.B: Only sexually active participants who ever heard of EC are included. : Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table. Table 7 shows that those who were sexual active had a better attitude than sexually inactive participants (crude OR 0.33(0.15-0.71)); this remained significantly associated when it was adjusted for age, region, religion, ethnicity, marital status, department and family education and income (adj. OR 0.36(0.15-0.86)). Association of EC knowledge, attitude, and practice with sexual activity, AAU female undergraduate students, March, 2010 *statistically significant ** remained statistically significant when adjusted with age, region, religion, department, marital status, family income and education β ns: non-significant(OR O.00(0.00- As it is noted in Table 3, 310(84.2%) had ever heard of EC; and a greater number (336) had ever heard of other contraception. Among the respondents who had ever heard of EC, 85(23.1%) reported that it is 99% effective and 216(58.7%) responded that it is safe to use. Regarding their source of information about EC, 278(75.5%) reported Media, 255(69.3%) health facilities, 108(29.3%) formal education, 29(7.9%) Internet, 15(4.1%) magazine, and 7(1.9) heard from a friend or a relative. Majority of the students (78.3%) responded that ECs are obtained from health institutes, and 302(82.1%) mentioned that EC helps during post rape, 182(49.5%) knew it is worth as a back up when condom breaks, 41(11.1%) thought it is important when oral contraceptive pill (OCP) is forgotten. About the health risks of EC, 49(13.3%) thought it can cause health problems, 33(9%) said it can hurt if it doesn't work, 28(7.6%) reported that it can result in sexually transmitted infection (STI) and Human immuno deficiency virus (HIV) infection. Those respondents who had an intention to use or recommend EC for a friend when a need arises were 119(32.3%). Among those who had unprotected sexual intercourse,75% had ever used EC, that was 30.7% of those who were sexually active and ever heard of EC, and that was only 7.3% of the total participants. Among those who had ever used EC, 15 of them reported that it was recommended by health professional and the rest by a friend. Among the total participants, 48(13%) had ever used other contraception, that was 37.8% of sexually active students that ever heard of other contraception. Knowledge, attitude and practice of emergency contraception among undergraduate AAU students, March 2010 (n = 368) N.B: Only those who had ever heard of emergency contraceptive answered other knowledge questions. Table 4 presents that there is no statistically significant association between students' awareness about the existence of EC and their socio demographic characteristics. Association between EC awareness and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368) N.B. Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table. In Table 5, it is shown that those participants with low family income had a better attitude than those with high family income (crude OR 2.12(1.06-4.18)); this significant association remained when it was adjusted for age, region, religion, ethnicity, marital status, and family education. (Adj.0R 2.47(1.06-5.78)). Association between EC attitude and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368) *statistically significant ** Statistically significant after adjusted for other variables shown on the table. In Table 6, it is noted that there is no statistically significant association between respondents' socio- demographic characteristics and usage of EC. Association between EC usage and socidemographic status of female undergraduate students of AAU, March, 2010(n = 368) N.B: Only sexually active participants who ever heard of EC are included. : Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table. Table 7 shows that those who were sexual active had a better attitude than sexually inactive participants (crude OR 0.33(0.15-0.71)); this remained significantly associated when it was adjusted for age, region, religion, ethnicity, marital status, department and family education and income (adj. OR 0.36(0.15-0.86)). Association of EC knowledge, attitude, and practice with sexual activity, AAU female undergraduate students, March, 2010 *statistically significant ** remained statistically significant when adjusted with age, region, religion, department, marital status, family income and education β ns: non-significant(OR O.00(0.00- Socio demographic characteristics: In this study, a total of 368 students answered the questionnaire (92% response rate). As shown in Table 1, the age range of study participants were from 17 to 29 years old, making the mean and standard deviation of 20.5 and 1.75 respectively. Majority (57.1%) was between the age group 17 to 20 years; 37% between 20 to 23; 4.1% between 23-26; and those between 26-29 years were 7(1.9%). Majority of the respondents 232(63%) were Orthodox Christians by religion, followed by Protestant Christians 79 (21.5%), and Muslims 49(13.3%). Regarding their ethnicity, Amhara was 176(47.%); Oromo, 85(23.1%); Tigre, 44(12%); the rest (17.1%) accounted for SNNP, Somalia, and Afar. Majority of the students (45.1%) had been living in Addis Ababa before entering to the university; the rest had been living in other different regions of Ethiopia. Most of the students (90.5%) were unmarried. Their family income ranged from less than 150 birr which accounts for 6(1.6%) of the students, to more than 1500 birr which were about 163(44.3%) of the students. About 51(13.9%) of the students responded that their mothers can't write and read; and about 102(27.7%) reported that their mothers attended higher education. About their father's education, 155(42.1%) reported their fathers attended higher education, and about 19(5.2%) responded that their fathers can't write and read. Socio demographic characteristics of undergraduate female students of AAU, Ethiopia, March, 2010(n = 368) 1Missing Values: 1(0.33%) 2Missing Values: 4(1.1%) Reproductive characteristics: As presented in Table 2, the majority of the study subjects 282(76.6%) were sexually inactive. About 36(9.8%) had history of unprotected sexual intercourse, this was 42% when calculated only among sexually active participants; and 13(3.5%) experienced unintended pregnancy. Regarding the reasons for the unintended pregnancy, 3(0.8%) responded it was due to pressure from the partner, 2(0.5%) by forced sexual intercourse, 2(0.5%) reported it was because they forgot to take contraceptive, 1.6% was due to contraceptive failure. Reproductive characteristics of female undergraduate students of AAU, Ethiopia, March 2010 (n = 368) 1Only those who are sexually active answered the questions 2Only those who are sexually active answered the questions 3Only those who are sexually active answered the questions 4Only those who had unintended pregnancy answered the question Knowledge, attitude and practice of EC: As it is noted in Table 3, 310(84.2%) had ever heard of EC; and a greater number (336) had ever heard of other contraception. Among the respondents who had ever heard of EC, 85(23.1%) reported that it is 99% effective and 216(58.7%) responded that it is safe to use. Regarding their source of information about EC, 278(75.5%) reported Media, 255(69.3%) health facilities, 108(29.3%) formal education, 29(7.9%) Internet, 15(4.1%) magazine, and 7(1.9) heard from a friend or a relative. Majority of the students (78.3%) responded that ECs are obtained from health institutes, and 302(82.1%) mentioned that EC helps during post rape, 182(49.5%) knew it is worth as a back up when condom breaks, 41(11.1%) thought it is important when oral contraceptive pill (OCP) is forgotten. About the health risks of EC, 49(13.3%) thought it can cause health problems, 33(9%) said it can hurt if it doesn't work, 28(7.6%) reported that it can result in sexually transmitted infection (STI) and Human immuno deficiency virus (HIV) infection. Those respondents who had an intention to use or recommend EC for a friend when a need arises were 119(32.3%). Among those who had unprotected sexual intercourse,75% had ever used EC, that was 30.7% of those who were sexually active and ever heard of EC, and that was only 7.3% of the total participants. Among those who had ever used EC, 15 of them reported that it was recommended by health professional and the rest by a friend. Among the total participants, 48(13%) had ever used other contraception, that was 37.8% of sexually active students that ever heard of other contraception. Knowledge, attitude and practice of emergency contraception among undergraduate AAU students, March 2010 (n = 368) N.B: Only those who had ever heard of emergency contraceptive answered other knowledge questions. Table 4 presents that there is no statistically significant association between students' awareness about the existence of EC and their socio demographic characteristics. Association between EC awareness and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368) N.B. Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table. In Table 5, it is shown that those participants with low family income had a better attitude than those with high family income (crude OR 2.12(1.06-4.18)); this significant association remained when it was adjusted for age, region, religion, ethnicity, marital status, and family education. (Adj.0R 2.47(1.06-5.78)). Association between EC attitude and sociodemographic status of female undergraduate students of AAU, March, 2010(n = 368) *statistically significant ** Statistically significant after adjusted for other variables shown on the table. In Table 6, it is noted that there is no statistically significant association between respondents' socio- demographic characteristics and usage of EC. Association between EC usage and socidemographic status of female undergraduate students of AAU, March, 2010(n = 368) N.B: Only sexually active participants who ever heard of EC are included. : Adjusted OR of each variable is obtained after adjusting it for all other variables shown in the table. Table 7 shows that those who were sexual active had a better attitude than sexually inactive participants (crude OR 0.33(0.15-0.71)); this remained significantly associated when it was adjusted for age, region, religion, ethnicity, marital status, department and family education and income (adj. OR 0.36(0.15-0.86)). Association of EC knowledge, attitude, and practice with sexual activity, AAU female undergraduate students, March, 2010 *statistically significant ** remained statistically significant when adjusted with age, region, religion, department, marital status, family income and education β ns: non-significant(OR O.00(0.00- Discussion: As we noted from the result of the actual study, participants who had ever heard of EC were 84.2%; those who had positive attitude towards it were 32.3%. Only 23.4% of the participants were sexually active, and 42% these had unprotected sexual intercourse. Among those who had unprotected sexual intercourse, 75% had ever used EC, which was 30.7% of those who were sexually active and ever heard of EC, and that was only 7.3% of the total participants. There seem to be low usage of EC in the study population due to the high proportion of sexually inactive participants. When the sample was stratified, it was realized that usage of EC was actually high among the sexually active participants. Awareness of EC is relatively higher among the participants of this study than other similar studies conducted in Addis Ababa. For example, in a study conducted in 2006 among 636 antenatal care clients of selected Addis Ababa health centers, the women who were aware of EC were only 10.2% and those who had positive attitude were 37.6% [15]. A similar study was conducted in the Western Cape province of South Africa, among 831 sexually active women in selected public clinic; those who were aware of EC were only 30% [16]. In 2009, there was also a similar study conducted among 300 women of age 18-45 years old at Lyari general hospital at Karachi, about 48% of the respondents had ever heard of EC [17]. This variation seems to be due to the difference in their level of education, which can have an influence on the awareness level of EC. It is believed that educated people are much more dedicated to their health than non-educated people; and in most of the cases, they can have a tendency to gather information in this regard. In this study, Media was found to be the main source of information for EC. In a similar study conducted in Nigeria among undergraduate college students, the main source of information was through friends/peers [18]. In another study conducted in 2005 among 379 female students of Makerere University of Uganda, only 45.1% had ever heard of EC; their main source of information were also via friends 34% followed by Media 24.8% [19]. In the above mentioned study conducted in 2006 among antenatal care clients in Addis Ababa, there were some association between economic status and awareness of EC, those with higher income had a better attitude. Unexpectedly, in this study those with lower family income had a better attitude; this could be explained due to the fact that the main source of information for EC in this study was media which can be accessed by most students in the university regardless of their economic status. In this study, the absence of significant association between attitude and their ethnicity as well as between attitude and religion can be explained by the fact that these study subjects share the same cultural values due to their social interaction in the campus, which influences them to have more or less the same attitude towards EC. In this study, sexually active participants had a better attitude than sexually inactive participants, who are believed to be reluctant about EC. In this study one important aspect we need to give attention to, is the presence of sexual abuse; about 5 students reported that the reason for their unintended pregnancy was due to forced sexual intercourse. It is assumed that the findings of this study can be generalized because of the representative nature of study participants (random sampling) and adequate number of sample size. Although the questionnaire contained some socially sensitive questions, in order to obtain a reliable data, respondents were well informed about the purpose of the study and they were reassured about confidentiality and anonymity. Conducting the study among these study participants who are relatively in higher educational level is novel about the study since this is a good opportunity to elucidate the influence of education in awareness of EC. Conclusions: The study showed high level of EC awareness and usage in contrast to other studies in the city; this could be due to the fact that these study participants are relatively in higher educational level in comparison to other women in the city. However, it was shown that there was low level of positive attitude, which in fact could be due to high number of sexually inactive participants, who are expected to be reluctant about the issue. Assessing the knowledge, attitude and usage of EC and the relationship of these factors and some socio-demographic characteristics plays a leading role in public health projects which are aimed to combat maternal mortality through reducing unintended pregnancies. To change attitude towards EC and further increase the level of awareness and usage, collaborated health education and similar studies among health and Media workers are highly recommended. A separate study to assess the level and the type of forced sexual intercourse is also recommended. Supplementary Material: Questionnaire. Format to assess the knowledge, attitude and practice towards emergency contraception among Addis Ababa University under graduate female students, Ethiopia. Click here for file
Background: Emergency contraception (EC) is a type of modern contraception which is indicated after unprotected sexual intercourse when regular contraception is not in use. The importance of EC is evident in preventing unintended pregnancies and its ill consequences like unintended child delivery or unsafe abortion, which are the most common causes of maternal mortality. Therefore, EC need to be available and used appropriately as a backup in case regular contraception is not used, misused or failed. Knowing that Ethiopia is one of the countries with highest maternal mortality rate, this study aimed to assess the knowledge, attitude and practice of EC, and to further elucidate the relationship between these factors and some socioeconomic and demographic characteristics among female undergraduate students of Addis Ababa University (AAU). This information will contribute substantially to interventions intended to combat maternal mortality. Methods: A Cross-sectional quantitative study among 368 AAU undergraduate students was conducted using self-administered questionnaire. Study participants were selected by stratified random sampling. Data was entered and analyzed using SPSS Version 17. Results were presented using descriptive statistics, cross-tabulation and logistic regression. Results: Among the total participants (n = 368), only 23.4% were sexually active. Majority (84.2%) had heard of EC; 32.3% had a positive attitude towards it. The main source of information reported by the respondents was Media (69.3%). Among those who were sexually active, about 42% had unprotected sexual intercourse. Among those who had unprotected sexual intercourse, 75% had ever used EC. Sexually active participants had significantly better attitude towards EC than sexually inactive participants (crude OR 0.33(0.15-0.71)); even after adjusting for possible confounders such as age, region, religion, ethnicity, marital status, department and family education and income (adj. OR 0.36(0.15-0.86)). Conclusions: The study showed high EC awareness and usage in contrast to other studies in the city, which could be due to the fact that university students are relatively in a better educational level. Therefore, it is highly recommended that interventions intended to combat maternal mortality through contraceptive usage need to be aware of such information specific to the target groups.
Background: EC is a type of modern contraception which is indicated after unprotected sexual intercourse, following sexual abuse, misuse of regular contraception or non use of contraception [1]. EC plays a vital role in preventing unintended pregnancy, which in turn helps to reduce unintended child birth and unsafe abortion, which are major problems of maternal health [1]. EC is found to be effective if used as soon as possible after unprotected sexual intercourse, especially within 72 hours of unprotected sexual intercourse [2]. There are two types of ECs namely, emergency contraceptive pills and intrauterine devices (IUDs). The pills include combined oral contraceptive pills (COCs), and a progestin only pills (POPs); IUDs can be effective if it is inserted within 5 days of unprotected sexual intercourse [3]. EC is said to be safe with minor side effects like nausea and vomiting in case of pills and infection for IUDs if not used properly [3]. Effectiveness of EC said to be 75% in case of COCs and 85% in case of POPs [4]. Regarding the mechanism of action, EC works by preventing fertilization, implantation and tubal transportation of sperm and ovum [4]. Each year there are about 250 Million pregnancies globally and one third of these are unintended and 20% of these undergo induced abortion [5]. In Low income countries, more that one third of the 182 million pregnancies is unintended; the fate of 19% will be induced abortion and 11% of this is unsafe [5]. In low income countries, the women who do not use any contraceptive contribute to two third of unintended pregnancies, where more than 100 million married women have unmet need for contraception [5]. Unsafe abortion has much ill effects in women's health, each year about 68,000 women die because of unsafe abortion, and millions of women end up with many complications of unsafe abortion, which could include severe infection and bleeding; this could have been immensely reduced by using EC [6]. Each year about 500,000 women die due to cases related with child birth, and majority are in sub Saharan Africa where there is also high fertility rate that is more than five [7]. Globally, it's estimated that 11% births are given by adolescent girls of age 15-19 annually, and 95% of these births are in low income countries, Ethiopia is one of the countries with high adolescent birth rate [8]. Most adolescent pregnancies seem to be intended; just because they happen within marriage but in reality most of them are unintended rather the marriage itself is arranged by the girls' family due to some cultural influences [8]. Adolescent pregnancy affect the health of mother and child, it has a devastating impact in social and psychological life of the girls [8]. Ethiopia is one of the countries with high maternal mortality rate; the estimated rate in 2005 was 673 per 100,000 live births [9]. In one of the surveys conducted in Ethiopia, among 1075 women who presented with abortion, about 58% were between age group of 20-29; and non use of contraceptive contributed to 78% of these pregnancies and rape accounted for 3% of the abortions [10]. In a study conducted in one of the high schools of Ethiopia, the prevalence of attempted rape was 8.8% and the prevalence of performed rape was 11.5% [11]. Despite the fact that different modern contraceptives exist world wide, the problem of unintended pregnancy still exists, which could be due to gap in awareness, negative attitudes towards contraception, low accessibility or as a result of sexual assault. At times, the knowledge and practice might be there but no contraceptive is 100% effective, and it is always very vital to have EC as a backup method. In one of the studies conducted among 417 women of post abortal care clients in Ethiopia, 59(14.1%) had ever heard of EC, and only 15(8.6%) had ever used EC [12]. In another study among 833 college students in one of the towns of Ethiopia, the magnitude of sexual violence was 47.9%, and unwanted pregnancy was found to be 16.9%; about 228(27.4%) had knowledge about EC, 20(2.4%) had ever used it and about 548(65.8%) had favorable attitude towards use of EC [13]. Considering the importance of EC in preventing unintended pregnancy, this study aimed to assess the knowledge, attitude and practice of EC and to further elucidate the relationship between these factors and socioeconomic and demographic characteristics among female undergraduate students of AAU. Conclusions: The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2458/12/110/prepub
Background: Emergency contraception (EC) is a type of modern contraception which is indicated after unprotected sexual intercourse when regular contraception is not in use. The importance of EC is evident in preventing unintended pregnancies and its ill consequences like unintended child delivery or unsafe abortion, which are the most common causes of maternal mortality. Therefore, EC need to be available and used appropriately as a backup in case regular contraception is not used, misused or failed. Knowing that Ethiopia is one of the countries with highest maternal mortality rate, this study aimed to assess the knowledge, attitude and practice of EC, and to further elucidate the relationship between these factors and some socioeconomic and demographic characteristics among female undergraduate students of Addis Ababa University (AAU). This information will contribute substantially to interventions intended to combat maternal mortality. Methods: A Cross-sectional quantitative study among 368 AAU undergraduate students was conducted using self-administered questionnaire. Study participants were selected by stratified random sampling. Data was entered and analyzed using SPSS Version 17. Results were presented using descriptive statistics, cross-tabulation and logistic regression. Results: Among the total participants (n = 368), only 23.4% were sexually active. Majority (84.2%) had heard of EC; 32.3% had a positive attitude towards it. The main source of information reported by the respondents was Media (69.3%). Among those who were sexually active, about 42% had unprotected sexual intercourse. Among those who had unprotected sexual intercourse, 75% had ever used EC. Sexually active participants had significantly better attitude towards EC than sexually inactive participants (crude OR 0.33(0.15-0.71)); even after adjusting for possible confounders such as age, region, religion, ethnicity, marital status, department and family education and income (adj. OR 0.36(0.15-0.86)). Conclusions: The study showed high EC awareness and usage in contrast to other studies in the city, which could be due to the fact that university students are relatively in a better educational level. Therefore, it is highly recommended that interventions intended to combat maternal mortality through contraceptive usage need to be aware of such information specific to the target groups.
9,620
421
[ 885, 160, 19, 8, 54, 95, 68, 117, 87, 64, 398, 20, 174, 149, 2515, 328, 159, 760, 757, 172 ]
22
[ "ec", "students", "study", "health", "attitude", "participants", "income", "sexually", "status", "female" ]
[ "emergency contraception addis", "emergency contraceptive pills", "contraceptive pills intrauterine", "contraception ec plays", "use contraception ec" ]
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[CONTENT] Emergency contraception | Knowledge | Attitude | Practice | Addis Ababa University | Ethiopia [SUMMARY]
[CONTENT] Emergency contraception | Knowledge | Attitude | Practice | Addis Ababa University | Ethiopia [SUMMARY]
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[CONTENT] Emergency contraception | Knowledge | Attitude | Practice | Addis Ababa University | Ethiopia [SUMMARY]
[CONTENT] Emergency contraception | Knowledge | Attitude | Practice | Addis Ababa University | Ethiopia [SUMMARY]
[CONTENT] Emergency contraception | Knowledge | Attitude | Practice | Addis Ababa University | Ethiopia [SUMMARY]
[CONTENT] Adolescent | Adult | Contraception, Postcoital | Cross-Sectional Studies | Ethiopia | Female | Health Knowledge, Attitudes, Practice | Humans | Students | Universities | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Contraception, Postcoital | Cross-Sectional Studies | Ethiopia | Female | Health Knowledge, Attitudes, Practice | Humans | Students | Universities | Young Adult [SUMMARY]
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[CONTENT] Adolescent | Adult | Contraception, Postcoital | Cross-Sectional Studies | Ethiopia | Female | Health Knowledge, Attitudes, Practice | Humans | Students | Universities | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Contraception, Postcoital | Cross-Sectional Studies | Ethiopia | Female | Health Knowledge, Attitudes, Practice | Humans | Students | Universities | Young Adult [SUMMARY]
[CONTENT] Adolescent | Adult | Contraception, Postcoital | Cross-Sectional Studies | Ethiopia | Female | Health Knowledge, Attitudes, Practice | Humans | Students | Universities | Young Adult [SUMMARY]
[CONTENT] emergency contraception addis | emergency contraceptive pills | contraceptive pills intrauterine | contraception ec plays | use contraception ec [SUMMARY]
[CONTENT] emergency contraception addis | emergency contraceptive pills | contraceptive pills intrauterine | contraception ec plays | use contraception ec [SUMMARY]
null
[CONTENT] emergency contraception addis | emergency contraceptive pills | contraceptive pills intrauterine | contraception ec plays | use contraception ec [SUMMARY]
[CONTENT] emergency contraception addis | emergency contraceptive pills | contraceptive pills intrauterine | contraception ec plays | use contraception ec [SUMMARY]
[CONTENT] emergency contraception addis | emergency contraceptive pills | contraceptive pills intrauterine | contraception ec plays | use contraception ec [SUMMARY]
[CONTENT] ec | students | study | health | attitude | participants | income | sexually | status | female [SUMMARY]
[CONTENT] ec | students | study | health | attitude | participants | income | sexually | status | female [SUMMARY]
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[CONTENT] ec | students | study | health | attitude | participants | income | sexually | status | female [SUMMARY]
[CONTENT] ec | students | study | health | attitude | participants | income | sexually | status | female [SUMMARY]
[CONTENT] ec | students | study | health | attitude | participants | income | sexually | status | female [SUMMARY]
[CONTENT] ec | abortion | women | pills | unsafe | unintended | pregnancies | adolescent | unsafe abortion | countries [SUMMARY]
[CONTENT] science | health science | students | study | health | data | different | income | science students | health science students [SUMMARY]
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[CONTENT] level | awareness usage | usage | recommended | fact | ec | city | attitude | health | studies [SUMMARY]
[CONTENT] ec | students | study | health | attitude | health science | science | participants | conducted | 2010 [SUMMARY]
[CONTENT] ec | students | study | health | attitude | health science | science | participants | conducted | 2010 [SUMMARY]
[CONTENT] EC ||| EC ||| EC ||| Ethiopia | EC | Addis Ababa University | AAU ||| [SUMMARY]
[CONTENT] 368 | AAU ||| ||| SPSS Version | 17 ||| [SUMMARY]
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[CONTENT] EC ||| [SUMMARY]
[CONTENT] EC ||| EC ||| EC ||| Ethiopia | EC | Addis Ababa University | AAU ||| ||| 368 | AAU ||| ||| SPSS Version | 17 ||| ||| ||| 368 | only 23.4% ||| 84.2% | EC | 32.3% ||| Media | 69.3% ||| about 42% ||| 75% | EC ||| EC | 0.33(0.15-0.71 ||| ||| EC ||| [SUMMARY]
[CONTENT] EC ||| EC ||| EC ||| Ethiopia | EC | Addis Ababa University | AAU ||| ||| 368 | AAU ||| ||| SPSS Version | 17 ||| ||| ||| 368 | only 23.4% ||| 84.2% | EC | 32.3% ||| Media | 69.3% ||| about 42% ||| 75% | EC ||| EC | 0.33(0.15-0.71 ||| ||| EC ||| [SUMMARY]
Circulating osteocalcin level is associated with improved glucose tolerance, insulin secretion and sensitivity independent of the plasma adiponectin level.
21656264
Recent animal studies have suggested crosstalk between bone and energy metabolism through osteocalcin. The aims of this study were to determine whether or not osteocalcin is associated with the improved glucose tolerance and insulin secretion and sensitivity, and whether or not the association is dependent on the plasma adiponectin level in humans.
INTRODUCTION
Four hundred twenty-five subjects, 19-82 years of age (mean age, 53 years), were enrolled. An oral glucose tolerance test (OGTT) and OGTT-based methods that were validated against the euglycemic clamp were determined. Total osteocalcin, leptin, and total adiponectin levels were measured.
METHODS
The plasma levels of total osteocalcin were significantly different between the normal glucose tolerance, pre-diabetes, and diabetes groups. The glucose levels and homeostasis model assessment insulin resistance values varied inversely with the osteocalcin tertiles, and OGTT-based insulin secretion (HOMA-B%, disposition index) and insulin sensitivity indices (Stumvoll's and OGIS indices) were increased with the tertiles. Although the plasma adiponectin level was positively correlated with the osteocalcin level, no changes in the association were noted between the plasma osteocalcin level and the glucose tolerance or insulin secretion and sensitivity indices after adjustment for the plasma adiponectin level. Based on multiple logistic regression analysis, the plasma osteocalcin level was inversely associated with the development of type 2 diabetes mellitus independent of age, gender, body mass index, and fasting plasma glucose and plasma adiponectin levels.
RESULTS
Circulating osteocalcin level is associated with improved glucose tolerance and insulin secretion and sensitivity independent of the plasma adiponectin level in humans.
CONCLUSIONS
[ "Adiponectin", "Adult", "Aged", "Aged, 80 and over", "Biomarkers", "Blood Glucose", "Diabetes Mellitus, Type 2", "Fasting", "Female", "Glucose Tolerance Test", "Humans", "Insulin", "Insulin Resistance", "Insulin Secretion", "Male", "Middle Aged", "Osteocalcin", "Prediabetic State", "Young Adult" ]
3304051
Introduction
Recently, Lee et al. [1] have described a novel function of the skeleton on energy metabolism. Specially, they demonstrated that the osteoblast-specific protein, osteocalcin, is involved in glucose metabolism by increasing insulin secretion and cell proliferation in pancreatic β-cells and improving insulin sensitivity by upregulating the expression of an insulin-sensitizing adipokine (the adiponectin gene) in adipocytes. Subsequent human studies, including our own work, have confirmed the previous report [2–10]. Collectively, these human studies have shown that the serum osteocalcin concentration is negatively associated with the plasma glucose level and body fat mass [3, 5–7] and positively associated with insulin secretion [4, 8], lower insulin resistance [5–9], and serum adiponectin concentration [3, 9]. In addition, Kanazawa et al. [3] showed that the serum osteocalcin level is negatively associated with the brachial-ankle pulse wave velocity and carotid intima-media thickness and suggested that osteocalcin might, thus, be linked to atherosclerosis. To date, homeostasis model assessment (HOMA) values have mainly been used to assess β-cell function and insulin sensitivity and the involvement of osteocalcin on glucose metabolism. However, the HOMA β-cell function index (HOMA-B%) is proportional to the fasting insulin level and is expected to be inversely related to insulin sensitivity in subjects with normal glucose tolerance (NGT), and thus, adjustment for insulin sensitivity is necessary [11]. Also, the agreement between homeostasis model assessment insulin resistance (HOMA-IR), an indicator of insulin resistance, and clamp-measured insulin sensitivity is controversial, ranging from very good to nonexistent [12]. Therefore, it is necessary to determine the association between osteocalcin and insulin secretion and insulin sensitivity with more valid methods. In addition, it remains uncertain whether or not the insulin-sensitizing and glucose-lowering effects of osteocalcin are truly mediated by upregulation of the adiponectin gene in humans. Therefore, we performed a study to determine whether or not osteocalcin is positively correlated with insulin secretion and insulin sensitivity using oral glucose tolerance test (OGTT)-based methods that have been validated against the clamp. In addition, we determined whether or not osteocalcin is inversely associated with the development of type 2 diabetes mellitus (T2DM) after adjusting for other diabetes risk factors and the plasma adiponectin level in humans.
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Results
We divided the study subjects according to glucose tolerance status, and compared the plasma total osteocalcin levels. The plasma osteocalcin levels were significantly different between the groups (p < 0.001); however, no difference was noted in the osteocalcin levels between the NGT (18.4 ± 9.0 ng/ml) and pre-diabetes groups (19.1 ± 8.9 ng/ml). After the development of diabetes (15.3 ± 6.8 ng/ml), the plasma osteocalcin levels were decreased compared with the pre-diabetes group (Fig. 1). Next, we divided the subjects into tertiles (lower, middle, and upper) by plasma osteocalcin levels; the glucose and HbA1c levels varied inversely with the osteocalcin tertiles, and the insulin secretory capacity, including the AUC insulin/glucose, HOMA-B%, insulinogenic index, and disposition index and insulin sensitivity index (Matsuda’s, Stumvoll’s, and OGIS indices), increased with the osteocalcin tertiles. In addition, the plasma adiponectin levels were increased with the osteocalcin tertiles; however, no difference was noted in the plasma leptin levels with the osteocalcin tertiles (Table 1). To determine whether or not plasma osteocalcin level is independently associated with improved glucose tolerance and insulin sensitivity and secretory capacity, multiple linear regression analyses were performed. The plasma osteocalcin level was inversely associated with FPG and AUC glucose levels and positively associated with the disposition index and Stumvoll’s and OGIS indices after adjusting for age, gender, BMI, and other adipokines including adiponectin and leptin levels (Table 2). To investigate the independent association between the osteocalcin level and diabetes, a multiple logistic regression analysis was performed. The analysis included age, gender, BMI, fasting plasma glucose level, and plasma adiponectin, leptin, and osteocalcin levels. Our results indicated that age and the fasting plasma glucose level appeared to be independently associated with the development of diabetes; the plasma osteocalcin level was inversely associated with the development of diabetes (OR, 0.955; 95% CI, 0.919–0.994, p = 0.023; Table 3). Fig. 1Osteocalcin levels (means ± SDs) by glucose tolerance status. NGT normal glucose tolerance, Pre-DM pre-diabetes, DM diabetes. To convert osteocalcin levels to nanomoles per liter, multiply by 0.171 Table 1Insulin secretion and sensitivity by osteocalcin tertilesVariableOsteocalcin lower tertile (n = 141)Osteocalcin middle tertile (n = 143)Osteocalcin upper tertile (n = 141) p Osteocalcin (ng/ml, range)9.1 ± 3.2 (1.1–13.0)15.7 ± 1.7 (13.1–18.9)25.3 ± 6.7 (19.0–70.7)<0.001Age (year)53.2 ± 13.152.0 ± 11.954.0 ± 10.9NSGender (male/female)74/6789/5460/81NSBMI (kg/m2)25.3 ± 3.525.5 ± 3.825.5 ± 3.8NSGlucose (0′) (mg/dl)155.0 ± 66.7126.1 ± 30.6118.9 ± 28.8<0.001Insulin (0′) (μIU/ml)10.1 (7.2–14.5)10.7 (8.4–14.2)9.9 (7.4–12.9)0.046HbA1c (%)7.7 ± 2.46.6 ± 1.36.4 ± 1.3<0.001AUC glucose (0–120′)28.2 ± 10.724.1 ± 6.822.8 ± 6.9<0.001AUC insulin (0–120′)323.2 (204.9–573.6)438.2 (280.6–693.0)400.5 (263.7–662.9)<0.001AUC insulin/glucose (0–120′)13.5 (7.0–26.0)18.4 (11.6–34.9)19.7 (11.4–31.9)<0.001HOMA-IR3.44 (2.45–5.21)3.47 (2.52–4.26)2.82 (2.05–3.87)0.002HOMA-B%58.6 (32.0–91.7)74.2 (49.0–104.8)75.5 (54.6–97.5)<0.001Insulinogenic index0.18 (0.08–0.44)0.29 (0.15–0.58)0.32 (0.14–0.57)<0.001Matsuda’s index4.12 ± 2.013.85 ± 1.814.53 ± 2.220.018Disposition index0.63 (0.27–1.53)1.04 (0.50–1.86)1.09 (0.60–2.30)<0.001Stumvoll’s index6.40 ± 2.246.57 ± 2.727.10 ± 2.220.040OGIS index324.0 ± 76.9350.3 ± 57.3369.7 ± 57.4<0.001Plasma adiponectin level (μg/ml)2.20 (1.44–2.93)1.80 (1.35–3.20)2.43 (1.68–3.83)<0.001Plasma leptin level (μg/l)5.44 (2.28–13.89)4.82 (2.66–8.37)4.57 (1.72–14.80)NSData are presented as the means ± SDs or median (interquartile range, 25–75%), except as otherwise indicated. To convert glucose levels to milimoles per liter, multiply by 0.0555. To convert insulin levels to picomoles per liter, multiply by 6.945 BMI body mass index, AUC area under the curve, HOMA homeostasis model assessment, ND not determined, NS not significant Table 2Multiple linear regression analysis for glucose tolerance and insulin secretion and sensitivity indicesVariableFPGAUC glucose (0–120′)Disposition indexMatsuda’s indexStumvoll’s indexOGIS indexAge−0.0480.030−0.170***−0.110*−0.104*−0.066BMI−0.0290.016−0.077−0.325***−0.526***−0.142**Adiponectin−0.092−0.131**0.134**0.0590.0480.141**Leptin−0.081−0.0980.127*−0.182***−0.0470.029Osteocalcin−0.269***−0.255***0.142**0.0640.141**0.240***Standard β values from multiple linear regression analysis BMI body mass index*p < 0.05; **p < 0.01; ***p < 0.001 Table 3Multiple logistic regression analysis for diabetesVariableOR per 1-SD increase in variable (95% CI) p Age1.577 (1.152–2.160)0.005Fasting plasma glucose471.399 (120.817–1,839.284)<0.001Total osteocalcin0.726 (0.533–0.988)0.042Age, gender, body mass index, fasting plasma glucose, plasma adiponectin, leptin, and osteocalcin levels were included as dependent variables Osteocalcin levels (means ± SDs) by glucose tolerance status. NGT normal glucose tolerance, Pre-DM pre-diabetes, DM diabetes. To convert osteocalcin levels to nanomoles per liter, multiply by 0.171 Insulin secretion and sensitivity by osteocalcin tertiles Data are presented as the means ± SDs or median (interquartile range, 25–75%), except as otherwise indicated. To convert glucose levels to milimoles per liter, multiply by 0.0555. To convert insulin levels to picomoles per liter, multiply by 6.945 BMI body mass index, AUC area under the curve, HOMA homeostasis model assessment, ND not determined, NS not significant Multiple linear regression analysis for glucose tolerance and insulin secretion and sensitivity indices Standard β values from multiple linear regression analysis BMI body mass index *p < 0.05; **p < 0.01; ***p < 0.001 Multiple logistic regression analysis for diabetes Age, gender, body mass index, fasting plasma glucose, plasma adiponectin, leptin, and osteocalcin levels were included as dependent variables
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[ "Subjects", "Biochemical measurements", "Statistical methods" ]
[ "We recruited study subjects from among those who attended the Kyung Hee University Hospital at Gangdong between December 2006 and July 2009 for the diagnosis, evaluation, or treatment of diabetes. During this period, 1,785 subjects (942 males and 843 females) underwent a 75-g OGTT, and after acquiring informed consent, plasma samples were obtained and stored at −70 C for future studies involving cardiovascular disorders and diabetes. The exclusion criteria applied were as follows: (1) history of metabolic bone diseases, such as hyperparathyroidism; (2) uncontrolled liver or thyroid diseases; (3) acute illnesses, such as infection, surgery, and hospital admission for a medical condition other than diabetes; (4) recent history of a fracture (<6 months); and (5) medications known to affect bone or glucose metabolism, such as glucocorticoids or bisphosphonates.\nIn this study, diabetes mellitus was defined by the presence of one of the following: (1) fasting glucose levels at ≥126 mg/dl (≥7.0 mmol/l) or (2) 2-h post-load glucose levels at ≥200 mg/dl (≥11.1 mmol/l). To eliminate the effects of drugs on insulin secretion and sensitivity driven by OGTT, we limited our study subjects to those who had never been treated with oral glucose-lowering agents to eliminate the effects on glucose tolerance, and insulin secretion and sensitivity measured by OGTT. Finally, 425 subjects, 19–82 years of age (mean age, 53.0 ± 12.0 years), were enrolled in this study. According to the OGTT results, subjects were diagnosed as follows: NGT (n = 23); pre-diabetes (n = 150), which included subjects with impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and both IFG and IGT; and diabetes (n = 252). The study was approved by the Ethics Committee and the Institutional Review Board of Kyung Hee University Hospital and complied with the Declaration of Helsinki.", "After an overnight fast (8~12 h), a 75-g OGTT was begun between 0800 and 0900 hours according to standardized clinical procedures. In brief, after a cannula was inserted in an antecubital vein for blood sampling, basal blood samples were drawn (0 min), then 75 g of glucose (Diasol®, dissolved in 300 ml of water) was consumed within 5 min. Plasma glucose and insulin levels were then determined 30, 60, 90, and 120 min after the glucose had been administered. In addition, the plasma C-peptide levels were measured at time 0 and 30 min.\nTo estimate insulin sensitivity, HOMA was used based on fasting plasma glucose (FPG) and fasting plasma insulin (FPI) concentrations. Insulin resistance was estimated using HOMA-IR, which was defined as follows: (FPI (μU/mL) × FPG (mmol/L))/22.5. In addition, we estimated insulin sensitivity in the subjects using the three most extensively validated OGTT insulin sensitivity indices against the euglycemic clamp technique in a relatively large numbers of subjects (ISIcomp [13], MCRest [14], and OGIS [15]). To estimate β-cell function, HOMA-B% was calculated as follows: (20 × FPI)/(FPG − 3.5). The insulinogenic index was defined as the ratio of insulin change to plasma glucose change 30 min after a 75-g oral glucose load (Δ insulin, 0–30 min/Δ plasma glucose, 0–30 min) and was used to estimate early phase insulin secretion. In addition, the area under the curve (AUC) of glucose or insulin levels during the OGTT was calculated by the trapezoidal rule, and the ratio of the total AUC insulin to the total AUC glucose (total AUC insulin/glucose) was used to measure the summation of the total insulin secretory capacity [16]. The disposition index was defined as the product of the insulinogenic index and Matsuda’s index and was used for estimating the insulin secretory capacity adjusted for insulin resistance.\nThe plasma glucose levels were determined using the hexokinase method in an autoanalyzer (Hitachi, Tokyo, Japan), which had a CV of 1.7%. The plasma insulin (Biosource, Nivelles, Belgium) and C-peptide levels (Immunotech, Czech Republic) were determined using immunoradiometric assays with intra- and inter-assay CVs of 1.6–2.2% and 6.1–6.5% and 2.3–3.0% and 3.5–5.1%, respectively. The plasma total osteocalcin was measured with an IRMA method using an Osteo-RIACT kit from Cis Bio International (Saclay, France), which had intra- and inter-assay CVs of 1.2–2.8% and 3.6–5.2%, respectively. Total plasma adiponectin and leptin levels were measured by ELISA kits (R&D Systems, Minneapolis, MN, USA), as recommended by the manufacturer.", "All data are presented as the means ± SDs or proportions, except for skewed variables, which were presented as the median (interquartile range, 25–75%). Because the distributions of fasting and 2-h plasma insulin levels, AUC insulin, AUC insulin/glucose, HbA1c level, HOMA values, insulinogenic index, disposition index, adiponectin level, and leptin level were skewed as assessed by the Kolmogorov–Smirnov test, the natural logarithmic transformation was applied in the statistical analysis. In the interests of simplicity, nontransformed median values are presented in the tables and text. One-way ANOVA, followed by Turkey’s post hoc test, was used to compare the means between the tertiles of osteocalcin levels. Pearson correlation coefficients were calculated to evaluate the associations between osteocalcin and age, body mass index (BMI), and metabolic parameters (glucose, insulin, and insulin secretory and insulin sensitivity indices). Multiple linear regression analysis was used to determine the associations between plasma osteocalcin and glucose tolerance, and insulin secretory or sensitivity indices after adjusting for age, gender, BMI, and other adipokines, including adiponectin and leptin levels. To identify whether or not plasma total osteocalcin was independently associated with the development of T2DM, we performed a multivariate logistic regression analysis with backward variable selection. Analysis was performed using SPSS (version 13.0; SPSS, Inc. Chicago, IL, USA), and p values of <0.05 were considered significant." ]
[ null, null, null ]
[ "Introduction", "Methods", "Subjects", "Biochemical measurements", "Statistical methods", "Results", "Discussion" ]
[ "Recently, Lee et al. [1] have described a novel function of the skeleton on energy metabolism. Specially, they demonstrated that the osteoblast-specific protein, osteocalcin, is involved in glucose metabolism by increasing insulin secretion and cell proliferation in pancreatic β-cells and improving insulin sensitivity by upregulating the expression of an insulin-sensitizing adipokine (the adiponectin gene) in adipocytes.\nSubsequent human studies, including our own work, have confirmed the previous report [2–10]. Collectively, these human studies have shown that the serum osteocalcin concentration is negatively associated with the plasma glucose level and body fat mass [3, 5–7] and positively associated with insulin secretion [4, 8], lower insulin resistance [5–9], and serum adiponectin concentration [3, 9]. In addition, Kanazawa et al. [3] showed that the serum osteocalcin level is negatively associated with the brachial-ankle pulse wave velocity and carotid intima-media thickness and suggested that osteocalcin might, thus, be linked to atherosclerosis.\nTo date, homeostasis model assessment (HOMA) values have mainly been used to assess β-cell function and insulin sensitivity and the involvement of osteocalcin on glucose metabolism. However, the HOMA β-cell function index (HOMA-B%) is proportional to the fasting insulin level and is expected to be inversely related to insulin sensitivity in subjects with normal glucose tolerance (NGT), and thus, adjustment for insulin sensitivity is necessary [11]. Also, the agreement between homeostasis model assessment insulin resistance (HOMA-IR), an indicator of insulin resistance, and clamp-measured insulin sensitivity is controversial, ranging from very good to nonexistent [12]. Therefore, it is necessary to determine the association between osteocalcin and insulin secretion and insulin sensitivity with more valid methods. In addition, it remains uncertain whether or not the insulin-sensitizing and glucose-lowering effects of osteocalcin are truly mediated by upregulation of the adiponectin gene in humans. Therefore, we performed a study to determine whether or not osteocalcin is positively correlated with insulin secretion and insulin sensitivity using oral glucose tolerance test (OGTT)-based methods that have been validated against the clamp. In addition, we determined whether or not osteocalcin is inversely associated with the development of type 2 diabetes mellitus (T2DM) after adjusting for other diabetes risk factors and the plasma adiponectin level in humans.", " Subjects We recruited study subjects from among those who attended the Kyung Hee University Hospital at Gangdong between December 2006 and July 2009 for the diagnosis, evaluation, or treatment of diabetes. During this period, 1,785 subjects (942 males and 843 females) underwent a 75-g OGTT, and after acquiring informed consent, plasma samples were obtained and stored at −70 C for future studies involving cardiovascular disorders and diabetes. The exclusion criteria applied were as follows: (1) history of metabolic bone diseases, such as hyperparathyroidism; (2) uncontrolled liver or thyroid diseases; (3) acute illnesses, such as infection, surgery, and hospital admission for a medical condition other than diabetes; (4) recent history of a fracture (<6 months); and (5) medications known to affect bone or glucose metabolism, such as glucocorticoids or bisphosphonates.\nIn this study, diabetes mellitus was defined by the presence of one of the following: (1) fasting glucose levels at ≥126 mg/dl (≥7.0 mmol/l) or (2) 2-h post-load glucose levels at ≥200 mg/dl (≥11.1 mmol/l). To eliminate the effects of drugs on insulin secretion and sensitivity driven by OGTT, we limited our study subjects to those who had never been treated with oral glucose-lowering agents to eliminate the effects on glucose tolerance, and insulin secretion and sensitivity measured by OGTT. Finally, 425 subjects, 19–82 years of age (mean age, 53.0 ± 12.0 years), were enrolled in this study. According to the OGTT results, subjects were diagnosed as follows: NGT (n = 23); pre-diabetes (n = 150), which included subjects with impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and both IFG and IGT; and diabetes (n = 252). The study was approved by the Ethics Committee and the Institutional Review Board of Kyung Hee University Hospital and complied with the Declaration of Helsinki.\nWe recruited study subjects from among those who attended the Kyung Hee University Hospital at Gangdong between December 2006 and July 2009 for the diagnosis, evaluation, or treatment of diabetes. During this period, 1,785 subjects (942 males and 843 females) underwent a 75-g OGTT, and after acquiring informed consent, plasma samples were obtained and stored at −70 C for future studies involving cardiovascular disorders and diabetes. The exclusion criteria applied were as follows: (1) history of metabolic bone diseases, such as hyperparathyroidism; (2) uncontrolled liver or thyroid diseases; (3) acute illnesses, such as infection, surgery, and hospital admission for a medical condition other than diabetes; (4) recent history of a fracture (<6 months); and (5) medications known to affect bone or glucose metabolism, such as glucocorticoids or bisphosphonates.\nIn this study, diabetes mellitus was defined by the presence of one of the following: (1) fasting glucose levels at ≥126 mg/dl (≥7.0 mmol/l) or (2) 2-h post-load glucose levels at ≥200 mg/dl (≥11.1 mmol/l). To eliminate the effects of drugs on insulin secretion and sensitivity driven by OGTT, we limited our study subjects to those who had never been treated with oral glucose-lowering agents to eliminate the effects on glucose tolerance, and insulin secretion and sensitivity measured by OGTT. Finally, 425 subjects, 19–82 years of age (mean age, 53.0 ± 12.0 years), were enrolled in this study. According to the OGTT results, subjects were diagnosed as follows: NGT (n = 23); pre-diabetes (n = 150), which included subjects with impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and both IFG and IGT; and diabetes (n = 252). The study was approved by the Ethics Committee and the Institutional Review Board of Kyung Hee University Hospital and complied with the Declaration of Helsinki.\n Biochemical measurements After an overnight fast (8~12 h), a 75-g OGTT was begun between 0800 and 0900 hours according to standardized clinical procedures. In brief, after a cannula was inserted in an antecubital vein for blood sampling, basal blood samples were drawn (0 min), then 75 g of glucose (Diasol®, dissolved in 300 ml of water) was consumed within 5 min. Plasma glucose and insulin levels were then determined 30, 60, 90, and 120 min after the glucose had been administered. In addition, the plasma C-peptide levels were measured at time 0 and 30 min.\nTo estimate insulin sensitivity, HOMA was used based on fasting plasma glucose (FPG) and fasting plasma insulin (FPI) concentrations. Insulin resistance was estimated using HOMA-IR, which was defined as follows: (FPI (μU/mL) × FPG (mmol/L))/22.5. In addition, we estimated insulin sensitivity in the subjects using the three most extensively validated OGTT insulin sensitivity indices against the euglycemic clamp technique in a relatively large numbers of subjects (ISIcomp [13], MCRest [14], and OGIS [15]). To estimate β-cell function, HOMA-B% was calculated as follows: (20 × FPI)/(FPG − 3.5). The insulinogenic index was defined as the ratio of insulin change to plasma glucose change 30 min after a 75-g oral glucose load (Δ insulin, 0–30 min/Δ plasma glucose, 0–30 min) and was used to estimate early phase insulin secretion. In addition, the area under the curve (AUC) of glucose or insulin levels during the OGTT was calculated by the trapezoidal rule, and the ratio of the total AUC insulin to the total AUC glucose (total AUC insulin/glucose) was used to measure the summation of the total insulin secretory capacity [16]. The disposition index was defined as the product of the insulinogenic index and Matsuda’s index and was used for estimating the insulin secretory capacity adjusted for insulin resistance.\nThe plasma glucose levels were determined using the hexokinase method in an autoanalyzer (Hitachi, Tokyo, Japan), which had a CV of 1.7%. The plasma insulin (Biosource, Nivelles, Belgium) and C-peptide levels (Immunotech, Czech Republic) were determined using immunoradiometric assays with intra- and inter-assay CVs of 1.6–2.2% and 6.1–6.5% and 2.3–3.0% and 3.5–5.1%, respectively. The plasma total osteocalcin was measured with an IRMA method using an Osteo-RIACT kit from Cis Bio International (Saclay, France), which had intra- and inter-assay CVs of 1.2–2.8% and 3.6–5.2%, respectively. Total plasma adiponectin and leptin levels were measured by ELISA kits (R&D Systems, Minneapolis, MN, USA), as recommended by the manufacturer.\nAfter an overnight fast (8~12 h), a 75-g OGTT was begun between 0800 and 0900 hours according to standardized clinical procedures. In brief, after a cannula was inserted in an antecubital vein for blood sampling, basal blood samples were drawn (0 min), then 75 g of glucose (Diasol®, dissolved in 300 ml of water) was consumed within 5 min. Plasma glucose and insulin levels were then determined 30, 60, 90, and 120 min after the glucose had been administered. In addition, the plasma C-peptide levels were measured at time 0 and 30 min.\nTo estimate insulin sensitivity, HOMA was used based on fasting plasma glucose (FPG) and fasting plasma insulin (FPI) concentrations. Insulin resistance was estimated using HOMA-IR, which was defined as follows: (FPI (μU/mL) × FPG (mmol/L))/22.5. In addition, we estimated insulin sensitivity in the subjects using the three most extensively validated OGTT insulin sensitivity indices against the euglycemic clamp technique in a relatively large numbers of subjects (ISIcomp [13], MCRest [14], and OGIS [15]). To estimate β-cell function, HOMA-B% was calculated as follows: (20 × FPI)/(FPG − 3.5). The insulinogenic index was defined as the ratio of insulin change to plasma glucose change 30 min after a 75-g oral glucose load (Δ insulin, 0–30 min/Δ plasma glucose, 0–30 min) and was used to estimate early phase insulin secretion. In addition, the area under the curve (AUC) of glucose or insulin levels during the OGTT was calculated by the trapezoidal rule, and the ratio of the total AUC insulin to the total AUC glucose (total AUC insulin/glucose) was used to measure the summation of the total insulin secretory capacity [16]. The disposition index was defined as the product of the insulinogenic index and Matsuda’s index and was used for estimating the insulin secretory capacity adjusted for insulin resistance.\nThe plasma glucose levels were determined using the hexokinase method in an autoanalyzer (Hitachi, Tokyo, Japan), which had a CV of 1.7%. The plasma insulin (Biosource, Nivelles, Belgium) and C-peptide levels (Immunotech, Czech Republic) were determined using immunoradiometric assays with intra- and inter-assay CVs of 1.6–2.2% and 6.1–6.5% and 2.3–3.0% and 3.5–5.1%, respectively. The plasma total osteocalcin was measured with an IRMA method using an Osteo-RIACT kit from Cis Bio International (Saclay, France), which had intra- and inter-assay CVs of 1.2–2.8% and 3.6–5.2%, respectively. Total plasma adiponectin and leptin levels were measured by ELISA kits (R&D Systems, Minneapolis, MN, USA), as recommended by the manufacturer.\n Statistical methods All data are presented as the means ± SDs or proportions, except for skewed variables, which were presented as the median (interquartile range, 25–75%). Because the distributions of fasting and 2-h plasma insulin levels, AUC insulin, AUC insulin/glucose, HbA1c level, HOMA values, insulinogenic index, disposition index, adiponectin level, and leptin level were skewed as assessed by the Kolmogorov–Smirnov test, the natural logarithmic transformation was applied in the statistical analysis. In the interests of simplicity, nontransformed median values are presented in the tables and text. One-way ANOVA, followed by Turkey’s post hoc test, was used to compare the means between the tertiles of osteocalcin levels. Pearson correlation coefficients were calculated to evaluate the associations between osteocalcin and age, body mass index (BMI), and metabolic parameters (glucose, insulin, and insulin secretory and insulin sensitivity indices). Multiple linear regression analysis was used to determine the associations between plasma osteocalcin and glucose tolerance, and insulin secretory or sensitivity indices after adjusting for age, gender, BMI, and other adipokines, including adiponectin and leptin levels. To identify whether or not plasma total osteocalcin was independently associated with the development of T2DM, we performed a multivariate logistic regression analysis with backward variable selection. Analysis was performed using SPSS (version 13.0; SPSS, Inc. Chicago, IL, USA), and p values of <0.05 were considered significant.\nAll data are presented as the means ± SDs or proportions, except for skewed variables, which were presented as the median (interquartile range, 25–75%). Because the distributions of fasting and 2-h plasma insulin levels, AUC insulin, AUC insulin/glucose, HbA1c level, HOMA values, insulinogenic index, disposition index, adiponectin level, and leptin level were skewed as assessed by the Kolmogorov–Smirnov test, the natural logarithmic transformation was applied in the statistical analysis. In the interests of simplicity, nontransformed median values are presented in the tables and text. One-way ANOVA, followed by Turkey’s post hoc test, was used to compare the means between the tertiles of osteocalcin levels. Pearson correlation coefficients were calculated to evaluate the associations between osteocalcin and age, body mass index (BMI), and metabolic parameters (glucose, insulin, and insulin secretory and insulin sensitivity indices). Multiple linear regression analysis was used to determine the associations between plasma osteocalcin and glucose tolerance, and insulin secretory or sensitivity indices after adjusting for age, gender, BMI, and other adipokines, including adiponectin and leptin levels. To identify whether or not plasma total osteocalcin was independently associated with the development of T2DM, we performed a multivariate logistic regression analysis with backward variable selection. Analysis was performed using SPSS (version 13.0; SPSS, Inc. Chicago, IL, USA), and p values of <0.05 were considered significant.", "We recruited study subjects from among those who attended the Kyung Hee University Hospital at Gangdong between December 2006 and July 2009 for the diagnosis, evaluation, or treatment of diabetes. During this period, 1,785 subjects (942 males and 843 females) underwent a 75-g OGTT, and after acquiring informed consent, plasma samples were obtained and stored at −70 C for future studies involving cardiovascular disorders and diabetes. The exclusion criteria applied were as follows: (1) history of metabolic bone diseases, such as hyperparathyroidism; (2) uncontrolled liver or thyroid diseases; (3) acute illnesses, such as infection, surgery, and hospital admission for a medical condition other than diabetes; (4) recent history of a fracture (<6 months); and (5) medications known to affect bone or glucose metabolism, such as glucocorticoids or bisphosphonates.\nIn this study, diabetes mellitus was defined by the presence of one of the following: (1) fasting glucose levels at ≥126 mg/dl (≥7.0 mmol/l) or (2) 2-h post-load glucose levels at ≥200 mg/dl (≥11.1 mmol/l). To eliminate the effects of drugs on insulin secretion and sensitivity driven by OGTT, we limited our study subjects to those who had never been treated with oral glucose-lowering agents to eliminate the effects on glucose tolerance, and insulin secretion and sensitivity measured by OGTT. Finally, 425 subjects, 19–82 years of age (mean age, 53.0 ± 12.0 years), were enrolled in this study. According to the OGTT results, subjects were diagnosed as follows: NGT (n = 23); pre-diabetes (n = 150), which included subjects with impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and both IFG and IGT; and diabetes (n = 252). The study was approved by the Ethics Committee and the Institutional Review Board of Kyung Hee University Hospital and complied with the Declaration of Helsinki.", "After an overnight fast (8~12 h), a 75-g OGTT was begun between 0800 and 0900 hours according to standardized clinical procedures. In brief, after a cannula was inserted in an antecubital vein for blood sampling, basal blood samples were drawn (0 min), then 75 g of glucose (Diasol®, dissolved in 300 ml of water) was consumed within 5 min. Plasma glucose and insulin levels were then determined 30, 60, 90, and 120 min after the glucose had been administered. In addition, the plasma C-peptide levels were measured at time 0 and 30 min.\nTo estimate insulin sensitivity, HOMA was used based on fasting plasma glucose (FPG) and fasting plasma insulin (FPI) concentrations. Insulin resistance was estimated using HOMA-IR, which was defined as follows: (FPI (μU/mL) × FPG (mmol/L))/22.5. In addition, we estimated insulin sensitivity in the subjects using the three most extensively validated OGTT insulin sensitivity indices against the euglycemic clamp technique in a relatively large numbers of subjects (ISIcomp [13], MCRest [14], and OGIS [15]). To estimate β-cell function, HOMA-B% was calculated as follows: (20 × FPI)/(FPG − 3.5). The insulinogenic index was defined as the ratio of insulin change to plasma glucose change 30 min after a 75-g oral glucose load (Δ insulin, 0–30 min/Δ plasma glucose, 0–30 min) and was used to estimate early phase insulin secretion. In addition, the area under the curve (AUC) of glucose or insulin levels during the OGTT was calculated by the trapezoidal rule, and the ratio of the total AUC insulin to the total AUC glucose (total AUC insulin/glucose) was used to measure the summation of the total insulin secretory capacity [16]. The disposition index was defined as the product of the insulinogenic index and Matsuda’s index and was used for estimating the insulin secretory capacity adjusted for insulin resistance.\nThe plasma glucose levels were determined using the hexokinase method in an autoanalyzer (Hitachi, Tokyo, Japan), which had a CV of 1.7%. The plasma insulin (Biosource, Nivelles, Belgium) and C-peptide levels (Immunotech, Czech Republic) were determined using immunoradiometric assays with intra- and inter-assay CVs of 1.6–2.2% and 6.1–6.5% and 2.3–3.0% and 3.5–5.1%, respectively. The plasma total osteocalcin was measured with an IRMA method using an Osteo-RIACT kit from Cis Bio International (Saclay, France), which had intra- and inter-assay CVs of 1.2–2.8% and 3.6–5.2%, respectively. Total plasma adiponectin and leptin levels were measured by ELISA kits (R&D Systems, Minneapolis, MN, USA), as recommended by the manufacturer.", "All data are presented as the means ± SDs or proportions, except for skewed variables, which were presented as the median (interquartile range, 25–75%). Because the distributions of fasting and 2-h plasma insulin levels, AUC insulin, AUC insulin/glucose, HbA1c level, HOMA values, insulinogenic index, disposition index, adiponectin level, and leptin level were skewed as assessed by the Kolmogorov–Smirnov test, the natural logarithmic transformation was applied in the statistical analysis. In the interests of simplicity, nontransformed median values are presented in the tables and text. One-way ANOVA, followed by Turkey’s post hoc test, was used to compare the means between the tertiles of osteocalcin levels. Pearson correlation coefficients were calculated to evaluate the associations between osteocalcin and age, body mass index (BMI), and metabolic parameters (glucose, insulin, and insulin secretory and insulin sensitivity indices). Multiple linear regression analysis was used to determine the associations between plasma osteocalcin and glucose tolerance, and insulin secretory or sensitivity indices after adjusting for age, gender, BMI, and other adipokines, including adiponectin and leptin levels. To identify whether or not plasma total osteocalcin was independently associated with the development of T2DM, we performed a multivariate logistic regression analysis with backward variable selection. Analysis was performed using SPSS (version 13.0; SPSS, Inc. Chicago, IL, USA), and p values of <0.05 were considered significant.", "We divided the study subjects according to glucose tolerance status, and compared the plasma total osteocalcin levels. The plasma osteocalcin levels were significantly different between the groups (p < 0.001); however, no difference was noted in the osteocalcin levels between the NGT (18.4 ± 9.0 ng/ml) and pre-diabetes groups (19.1 ± 8.9 ng/ml). After the development of diabetes (15.3 ± 6.8 ng/ml), the plasma osteocalcin levels were decreased compared with the pre-diabetes group (Fig. 1). Next, we divided the subjects into tertiles (lower, middle, and upper) by plasma osteocalcin levels; the glucose and HbA1c levels varied inversely with the osteocalcin tertiles, and the insulin secretory capacity, including the AUC insulin/glucose, HOMA-B%, insulinogenic index, and disposition index and insulin sensitivity index (Matsuda’s, Stumvoll’s, and OGIS indices), increased with the osteocalcin tertiles. In addition, the plasma adiponectin levels were increased with the osteocalcin tertiles; however, no difference was noted in the plasma leptin levels with the osteocalcin tertiles (Table 1). To determine whether or not plasma osteocalcin level is independently associated with improved glucose tolerance and insulin sensitivity and secretory capacity, multiple linear regression analyses were performed. The plasma osteocalcin level was inversely associated with FPG and AUC glucose levels and positively associated with the disposition index and Stumvoll’s and OGIS indices after adjusting for age, gender, BMI, and other adipokines including adiponectin and leptin levels (Table 2). To investigate the independent association between the osteocalcin level and diabetes, a multiple logistic regression analysis was performed. The analysis included age, gender, BMI, fasting plasma glucose level, and plasma adiponectin, leptin, and osteocalcin levels. Our results indicated that age and the fasting plasma glucose level appeared to be independently associated with the development of diabetes; the plasma osteocalcin level was inversely associated with the development of diabetes (OR, 0.955; 95% CI, 0.919–0.994, p = 0.023; Table 3).\nFig. 1Osteocalcin levels (means ± SDs) by glucose tolerance status. NGT normal glucose tolerance, Pre-DM pre-diabetes, DM diabetes. To convert osteocalcin levels to nanomoles per liter, multiply by 0.171\nTable 1Insulin secretion and sensitivity by osteocalcin tertilesVariableOsteocalcin lower tertile (n = 141)Osteocalcin middle tertile (n = 143)Osteocalcin upper tertile (n = 141)\np\nOsteocalcin (ng/ml, range)9.1 ± 3.2 (1.1–13.0)15.7 ± 1.7 (13.1–18.9)25.3 ± 6.7 (19.0–70.7)<0.001Age (year)53.2 ± 13.152.0 ± 11.954.0 ± 10.9NSGender (male/female)74/6789/5460/81NSBMI (kg/m2)25.3 ± 3.525.5 ± 3.825.5 ± 3.8NSGlucose (0′) (mg/dl)155.0 ± 66.7126.1 ± 30.6118.9 ± 28.8<0.001Insulin (0′) (μIU/ml)10.1 (7.2–14.5)10.7 (8.4–14.2)9.9 (7.4–12.9)0.046HbA1c (%)7.7 ± 2.46.6 ± 1.36.4 ± 1.3<0.001AUC glucose (0–120′)28.2 ± 10.724.1 ± 6.822.8 ± 6.9<0.001AUC insulin (0–120′)323.2 (204.9–573.6)438.2 (280.6–693.0)400.5 (263.7–662.9)<0.001AUC insulin/glucose (0–120′)13.5 (7.0–26.0)18.4 (11.6–34.9)19.7 (11.4–31.9)<0.001HOMA-IR3.44 (2.45–5.21)3.47 (2.52–4.26)2.82 (2.05–3.87)0.002HOMA-B%58.6 (32.0–91.7)74.2 (49.0–104.8)75.5 (54.6–97.5)<0.001Insulinogenic index0.18 (0.08–0.44)0.29 (0.15–0.58)0.32 (0.14–0.57)<0.001Matsuda’s index4.12 ± 2.013.85 ± 1.814.53 ± 2.220.018Disposition index0.63 (0.27–1.53)1.04 (0.50–1.86)1.09 (0.60–2.30)<0.001Stumvoll’s index6.40 ± 2.246.57 ± 2.727.10 ± 2.220.040OGIS index324.0 ± 76.9350.3 ± 57.3369.7 ± 57.4<0.001Plasma adiponectin level (μg/ml)2.20 (1.44–2.93)1.80 (1.35–3.20)2.43 (1.68–3.83)<0.001Plasma leptin level (μg/l)5.44 (2.28–13.89)4.82 (2.66–8.37)4.57 (1.72–14.80)NSData are presented as the means ± SDs or median (interquartile range, 25–75%), except as otherwise indicated. To convert glucose levels to milimoles per liter, multiply by 0.0555. To convert insulin levels to picomoles per liter, multiply by 6.945\nBMI body mass index, AUC area under the curve, HOMA homeostasis model assessment, ND not determined, NS not significant\nTable 2Multiple linear regression analysis for glucose tolerance and insulin secretion and sensitivity indicesVariableFPGAUC glucose (0–120′)Disposition indexMatsuda’s indexStumvoll’s indexOGIS indexAge−0.0480.030−0.170***−0.110*−0.104*−0.066BMI−0.0290.016−0.077−0.325***−0.526***−0.142**Adiponectin−0.092−0.131**0.134**0.0590.0480.141**Leptin−0.081−0.0980.127*−0.182***−0.0470.029Osteocalcin−0.269***−0.255***0.142**0.0640.141**0.240***Standard β values from multiple linear regression analysis\nBMI body mass index*p < 0.05; **p < 0.01; ***p < 0.001\nTable 3Multiple logistic regression analysis for diabetesVariableOR per 1-SD increase in variable (95% CI)\np\nAge1.577 (1.152–2.160)0.005Fasting plasma glucose471.399 (120.817–1,839.284)<0.001Total osteocalcin0.726 (0.533–0.988)0.042Age, gender, body mass index, fasting plasma glucose, plasma adiponectin, leptin, and osteocalcin levels were included as dependent variables\n\nOsteocalcin levels (means ± SDs) by glucose tolerance status. NGT normal glucose tolerance, Pre-DM pre-diabetes, DM diabetes. To convert osteocalcin levels to nanomoles per liter, multiply by 0.171\nInsulin secretion and sensitivity by osteocalcin tertiles\nData are presented as the means ± SDs or median (interquartile range, 25–75%), except as otherwise indicated. To convert glucose levels to milimoles per liter, multiply by 0.0555. To convert insulin levels to picomoles per liter, multiply by 6.945\n\nBMI body mass index, AUC area under the curve, HOMA homeostasis model assessment, ND not determined, NS not significant\nMultiple linear regression analysis for glucose tolerance and insulin secretion and sensitivity indices\nStandard β values from multiple linear regression analysis\n\nBMI body mass index\n*p < 0.05; **p < 0.01; ***p < 0.001\nMultiple logistic regression analysis for diabetes\nAge, gender, body mass index, fasting plasma glucose, plasma adiponectin, leptin, and osteocalcin levels were included as dependent variables", "In the present study, the plasma levels of osteocalcin were inversely correlated with fasting and 2-h post-load plasma glucose levels and AUC glucose during an OGTT. In addition, the osteocalcin level was positively associated with the parameters which were estimated by the OGTT, reflecting β-cell function and insulin sensitivity. Until now, the associations between osteocalcin and insulin secretion and sensitivity were primarily measured by HOMA values; however, the model predicts the fasting steady-state glucose and insulin concentrations for a wide range of possible combinations of insulin resistance and β-cell function, and it is difficult to determine the true dynamic function of β-cell insulin secretion. In addition, in subjects with severely impaired β-cell function, HOMA-IR did not represent appropriate insulin resistance status [17], and therefore the agreement between HOMA-IR and clamp-measured insulin sensitivity remains controversial [12]. The current study was unique and powered because we determined the association between plasma osteocalcin levels and insulin sensitivity with OGTT-driven dynamic methods that have been extensively validated against euglycemic clamp methods, and determined the β-cell function with diverse parameters, including the HOMA-B%, insulinogenic index, AUC insulin/glucose, and disposition index.\nAccording to the original observation by Lee et al. [1], osteocalcin regulates insulin sensitivity, at least in part, through adiponectin gene expression. In the current study, the plasma adiponectin levels were significantly different across the osteocalcin tertiles (p < 0.001) and were positively correlated with the indices representing insulin sensitivity, including Matsuda’s, Stumvoll’s, and OGIS indices (data not shown, all p < 0.01). In multiple linear regression analyses, however, the plasma osteocalcin levels were still significantly associated with improved glucose tolerance and insulin secretion and sensitivity indices even after controlling for the adiponectin levels. Therefore, adiponectin did not mediate the association between the osteocalcin level and glucose tolerance and insulin secretion and sensitivity in humans. In addition, we investigated whether or not the plasma osteocalcin level is inversely associated with the development of T2DM. The results indicated that the plasma osteocalcin level is inversely associated with the development of T2DM independent of well-established risk factors for diabetes, such as age, gender, BMI, and baseline fasting plasma glucose level and circulating adipokines including plasma adiponectin and leptin levels. These results suggest that osteocalcin-mediated increased insulin sensitivity may not involve adiponectin gene upregulation in humans but may involve other mechanisms. This is the first report to demonstrate an independent association, especially independent of plasma adiponectin levels, between plasma osteocalcin levels and improved glucose tolerance and insulin secretion and sensitivity. In contrast with our results, Shea et al. [9] reported that the strength of the association between total osteocalcin and carboxylated osteocalcin with HOMA-IR is somewhat attenuated after adiponectin is accounted for; therefore, they concluded that the association between total osteocalcin and carboxylated osteocalcin with HOMA-IR may depend partially on adiponectin. Although we could not explain the discrepancy between the studies, the different levels of insulin resistance between the study subjects and different measurements assessing insulin sensitivity may be casual.\nIn the current study, no difference in the osteocalcin level was noted between the NGT and pre-diabetes groups, and the level of the pre-diabetes group was somewhat higher compared with the NGT group, although it did not reach statistical significance. Therefore, it is not until diabetes develops that plasma osteocalcin levels are decreased. As a plausible explanation for this finding, it is possible that osteoblasts may secrete more osteocalcin to overcome a given amount of insulin resistance, and more insulin is initially secreted in pancreatic β-cells (pre-diabetes state). However, as insulin resistance becomes more severe, the osteoblast fails to secrete sufficient osteocalcin, insulin secretion is decreased, and diabetes finally develops. In partial agreement with our speculation, Winhofer et al. [10] reported that women with gestational diabetes have higher osteocalcin levels compared with women with NGT during pregnancy while no difference was observed between the two groups 12 weeks postpartum, and therefore, they hypothesized that osteocalcin can enhance insulin secretion in insulin-resistant states.\nThis study had several limitations. First, this study was based on a cross-sectional analysis, and thus, we do not know whether or not our findings are merely correlations or if osteocalcin has direct glucose-lowering effects in human subjects, as in animal- and cell-based studies. Second, we did not differentiate plasma osteocalcin with respect to the gamma-carboxylation status, and only measured the total form of osteocalcin, instead of directly measuring carboxylated and uncarboxylated osteocalcin. Therefore, we do not know the differential mechanism of both types of osteocalcin to regulate insulin secretion and insulin sensitivity. Third, it is known that the levels of bone turnover markers, including plasma osteocalcin, are different according to age, gender, and race or ethnicity [18]. In this study, although we adjusted for age and gender, we could not entirely exclude the effects of age and gender on the associations between plasma osteocalcin levels and glucose metabolism. Lastly, it has been suggested that bone resorption at low pH is necessary to decarboxylate osteocalcin, and thus, osteoclasts determine the carboxylation status and function of osteocalcin in mice [19] and possibly in humans [20]. Therefore, the additional measurement of bone resorption markers may further clarify the potential association between bone resorption, osteocalcin, and glucose homeostasis in humans.\nIn conclusion, an elevated plasma osteocalcin level was associated with improved glucose tolerance and may be associated with increased β-cell function and insulin sensitivity. However, it appears that the glucose-lowering and insulin-sensitizing effect of osteocalcin is not mediated by an increment in the plasma adiponectin level in humans." ]
[ "introduction", "materials|methods", null, null, null, "results", "discussion" ]
[ "Adiponectin", "Insulin resistance", "Insulin secretion", "Osteocalcin" ]
Introduction: Recently, Lee et al. [1] have described a novel function of the skeleton on energy metabolism. Specially, they demonstrated that the osteoblast-specific protein, osteocalcin, is involved in glucose metabolism by increasing insulin secretion and cell proliferation in pancreatic β-cells and improving insulin sensitivity by upregulating the expression of an insulin-sensitizing adipokine (the adiponectin gene) in adipocytes. Subsequent human studies, including our own work, have confirmed the previous report [2–10]. Collectively, these human studies have shown that the serum osteocalcin concentration is negatively associated with the plasma glucose level and body fat mass [3, 5–7] and positively associated with insulin secretion [4, 8], lower insulin resistance [5–9], and serum adiponectin concentration [3, 9]. In addition, Kanazawa et al. [3] showed that the serum osteocalcin level is negatively associated with the brachial-ankle pulse wave velocity and carotid intima-media thickness and suggested that osteocalcin might, thus, be linked to atherosclerosis. To date, homeostasis model assessment (HOMA) values have mainly been used to assess β-cell function and insulin sensitivity and the involvement of osteocalcin on glucose metabolism. However, the HOMA β-cell function index (HOMA-B%) is proportional to the fasting insulin level and is expected to be inversely related to insulin sensitivity in subjects with normal glucose tolerance (NGT), and thus, adjustment for insulin sensitivity is necessary [11]. Also, the agreement between homeostasis model assessment insulin resistance (HOMA-IR), an indicator of insulin resistance, and clamp-measured insulin sensitivity is controversial, ranging from very good to nonexistent [12]. Therefore, it is necessary to determine the association between osteocalcin and insulin secretion and insulin sensitivity with more valid methods. In addition, it remains uncertain whether or not the insulin-sensitizing and glucose-lowering effects of osteocalcin are truly mediated by upregulation of the adiponectin gene in humans. Therefore, we performed a study to determine whether or not osteocalcin is positively correlated with insulin secretion and insulin sensitivity using oral glucose tolerance test (OGTT)-based methods that have been validated against the clamp. In addition, we determined whether or not osteocalcin is inversely associated with the development of type 2 diabetes mellitus (T2DM) after adjusting for other diabetes risk factors and the plasma adiponectin level in humans. Methods: Subjects We recruited study subjects from among those who attended the Kyung Hee University Hospital at Gangdong between December 2006 and July 2009 for the diagnosis, evaluation, or treatment of diabetes. During this period, 1,785 subjects (942 males and 843 females) underwent a 75-g OGTT, and after acquiring informed consent, plasma samples were obtained and stored at −70 C for future studies involving cardiovascular disorders and diabetes. The exclusion criteria applied were as follows: (1) history of metabolic bone diseases, such as hyperparathyroidism; (2) uncontrolled liver or thyroid diseases; (3) acute illnesses, such as infection, surgery, and hospital admission for a medical condition other than diabetes; (4) recent history of a fracture (<6 months); and (5) medications known to affect bone or glucose metabolism, such as glucocorticoids or bisphosphonates. In this study, diabetes mellitus was defined by the presence of one of the following: (1) fasting glucose levels at ≥126 mg/dl (≥7.0 mmol/l) or (2) 2-h post-load glucose levels at ≥200 mg/dl (≥11.1 mmol/l). To eliminate the effects of drugs on insulin secretion and sensitivity driven by OGTT, we limited our study subjects to those who had never been treated with oral glucose-lowering agents to eliminate the effects on glucose tolerance, and insulin secretion and sensitivity measured by OGTT. Finally, 425 subjects, 19–82 years of age (mean age, 53.0 ± 12.0 years), were enrolled in this study. According to the OGTT results, subjects were diagnosed as follows: NGT (n = 23); pre-diabetes (n = 150), which included subjects with impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and both IFG and IGT; and diabetes (n = 252). The study was approved by the Ethics Committee and the Institutional Review Board of Kyung Hee University Hospital and complied with the Declaration of Helsinki. We recruited study subjects from among those who attended the Kyung Hee University Hospital at Gangdong between December 2006 and July 2009 for the diagnosis, evaluation, or treatment of diabetes. During this period, 1,785 subjects (942 males and 843 females) underwent a 75-g OGTT, and after acquiring informed consent, plasma samples were obtained and stored at −70 C for future studies involving cardiovascular disorders and diabetes. The exclusion criteria applied were as follows: (1) history of metabolic bone diseases, such as hyperparathyroidism; (2) uncontrolled liver or thyroid diseases; (3) acute illnesses, such as infection, surgery, and hospital admission for a medical condition other than diabetes; (4) recent history of a fracture (<6 months); and (5) medications known to affect bone or glucose metabolism, such as glucocorticoids or bisphosphonates. In this study, diabetes mellitus was defined by the presence of one of the following: (1) fasting glucose levels at ≥126 mg/dl (≥7.0 mmol/l) or (2) 2-h post-load glucose levels at ≥200 mg/dl (≥11.1 mmol/l). To eliminate the effects of drugs on insulin secretion and sensitivity driven by OGTT, we limited our study subjects to those who had never been treated with oral glucose-lowering agents to eliminate the effects on glucose tolerance, and insulin secretion and sensitivity measured by OGTT. Finally, 425 subjects, 19–82 years of age (mean age, 53.0 ± 12.0 years), were enrolled in this study. According to the OGTT results, subjects were diagnosed as follows: NGT (n = 23); pre-diabetes (n = 150), which included subjects with impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and both IFG and IGT; and diabetes (n = 252). The study was approved by the Ethics Committee and the Institutional Review Board of Kyung Hee University Hospital and complied with the Declaration of Helsinki. Biochemical measurements After an overnight fast (8~12 h), a 75-g OGTT was begun between 0800 and 0900 hours according to standardized clinical procedures. In brief, after a cannula was inserted in an antecubital vein for blood sampling, basal blood samples were drawn (0 min), then 75 g of glucose (Diasol®, dissolved in 300 ml of water) was consumed within 5 min. Plasma glucose and insulin levels were then determined 30, 60, 90, and 120 min after the glucose had been administered. In addition, the plasma C-peptide levels were measured at time 0 and 30 min. To estimate insulin sensitivity, HOMA was used based on fasting plasma glucose (FPG) and fasting plasma insulin (FPI) concentrations. Insulin resistance was estimated using HOMA-IR, which was defined as follows: (FPI (μU/mL) × FPG (mmol/L))/22.5. In addition, we estimated insulin sensitivity in the subjects using the three most extensively validated OGTT insulin sensitivity indices against the euglycemic clamp technique in a relatively large numbers of subjects (ISIcomp [13], MCRest [14], and OGIS [15]). To estimate β-cell function, HOMA-B% was calculated as follows: (20 × FPI)/(FPG − 3.5). The insulinogenic index was defined as the ratio of insulin change to plasma glucose change 30 min after a 75-g oral glucose load (Δ insulin, 0–30 min/Δ plasma glucose, 0–30 min) and was used to estimate early phase insulin secretion. In addition, the area under the curve (AUC) of glucose or insulin levels during the OGTT was calculated by the trapezoidal rule, and the ratio of the total AUC insulin to the total AUC glucose (total AUC insulin/glucose) was used to measure the summation of the total insulin secretory capacity [16]. The disposition index was defined as the product of the insulinogenic index and Matsuda’s index and was used for estimating the insulin secretory capacity adjusted for insulin resistance. The plasma glucose levels were determined using the hexokinase method in an autoanalyzer (Hitachi, Tokyo, Japan), which had a CV of 1.7%. The plasma insulin (Biosource, Nivelles, Belgium) and C-peptide levels (Immunotech, Czech Republic) were determined using immunoradiometric assays with intra- and inter-assay CVs of 1.6–2.2% and 6.1–6.5% and 2.3–3.0% and 3.5–5.1%, respectively. The plasma total osteocalcin was measured with an IRMA method using an Osteo-RIACT kit from Cis Bio International (Saclay, France), which had intra- and inter-assay CVs of 1.2–2.8% and 3.6–5.2%, respectively. Total plasma adiponectin and leptin levels were measured by ELISA kits (R&D Systems, Minneapolis, MN, USA), as recommended by the manufacturer. After an overnight fast (8~12 h), a 75-g OGTT was begun between 0800 and 0900 hours according to standardized clinical procedures. In brief, after a cannula was inserted in an antecubital vein for blood sampling, basal blood samples were drawn (0 min), then 75 g of glucose (Diasol®, dissolved in 300 ml of water) was consumed within 5 min. Plasma glucose and insulin levels were then determined 30, 60, 90, and 120 min after the glucose had been administered. In addition, the plasma C-peptide levels were measured at time 0 and 30 min. To estimate insulin sensitivity, HOMA was used based on fasting plasma glucose (FPG) and fasting plasma insulin (FPI) concentrations. Insulin resistance was estimated using HOMA-IR, which was defined as follows: (FPI (μU/mL) × FPG (mmol/L))/22.5. In addition, we estimated insulin sensitivity in the subjects using the three most extensively validated OGTT insulin sensitivity indices against the euglycemic clamp technique in a relatively large numbers of subjects (ISIcomp [13], MCRest [14], and OGIS [15]). To estimate β-cell function, HOMA-B% was calculated as follows: (20 × FPI)/(FPG − 3.5). The insulinogenic index was defined as the ratio of insulin change to plasma glucose change 30 min after a 75-g oral glucose load (Δ insulin, 0–30 min/Δ plasma glucose, 0–30 min) and was used to estimate early phase insulin secretion. In addition, the area under the curve (AUC) of glucose or insulin levels during the OGTT was calculated by the trapezoidal rule, and the ratio of the total AUC insulin to the total AUC glucose (total AUC insulin/glucose) was used to measure the summation of the total insulin secretory capacity [16]. The disposition index was defined as the product of the insulinogenic index and Matsuda’s index and was used for estimating the insulin secretory capacity adjusted for insulin resistance. The plasma glucose levels were determined using the hexokinase method in an autoanalyzer (Hitachi, Tokyo, Japan), which had a CV of 1.7%. The plasma insulin (Biosource, Nivelles, Belgium) and C-peptide levels (Immunotech, Czech Republic) were determined using immunoradiometric assays with intra- and inter-assay CVs of 1.6–2.2% and 6.1–6.5% and 2.3–3.0% and 3.5–5.1%, respectively. The plasma total osteocalcin was measured with an IRMA method using an Osteo-RIACT kit from Cis Bio International (Saclay, France), which had intra- and inter-assay CVs of 1.2–2.8% and 3.6–5.2%, respectively. Total plasma adiponectin and leptin levels were measured by ELISA kits (R&D Systems, Minneapolis, MN, USA), as recommended by the manufacturer. Statistical methods All data are presented as the means ± SDs or proportions, except for skewed variables, which were presented as the median (interquartile range, 25–75%). Because the distributions of fasting and 2-h plasma insulin levels, AUC insulin, AUC insulin/glucose, HbA1c level, HOMA values, insulinogenic index, disposition index, adiponectin level, and leptin level were skewed as assessed by the Kolmogorov–Smirnov test, the natural logarithmic transformation was applied in the statistical analysis. In the interests of simplicity, nontransformed median values are presented in the tables and text. One-way ANOVA, followed by Turkey’s post hoc test, was used to compare the means between the tertiles of osteocalcin levels. Pearson correlation coefficients were calculated to evaluate the associations between osteocalcin and age, body mass index (BMI), and metabolic parameters (glucose, insulin, and insulin secretory and insulin sensitivity indices). Multiple linear regression analysis was used to determine the associations between plasma osteocalcin and glucose tolerance, and insulin secretory or sensitivity indices after adjusting for age, gender, BMI, and other adipokines, including adiponectin and leptin levels. To identify whether or not plasma total osteocalcin was independently associated with the development of T2DM, we performed a multivariate logistic regression analysis with backward variable selection. Analysis was performed using SPSS (version 13.0; SPSS, Inc. Chicago, IL, USA), and p values of <0.05 were considered significant. All data are presented as the means ± SDs or proportions, except for skewed variables, which were presented as the median (interquartile range, 25–75%). Because the distributions of fasting and 2-h plasma insulin levels, AUC insulin, AUC insulin/glucose, HbA1c level, HOMA values, insulinogenic index, disposition index, adiponectin level, and leptin level were skewed as assessed by the Kolmogorov–Smirnov test, the natural logarithmic transformation was applied in the statistical analysis. In the interests of simplicity, nontransformed median values are presented in the tables and text. One-way ANOVA, followed by Turkey’s post hoc test, was used to compare the means between the tertiles of osteocalcin levels. Pearson correlation coefficients were calculated to evaluate the associations between osteocalcin and age, body mass index (BMI), and metabolic parameters (glucose, insulin, and insulin secretory and insulin sensitivity indices). Multiple linear regression analysis was used to determine the associations between plasma osteocalcin and glucose tolerance, and insulin secretory or sensitivity indices after adjusting for age, gender, BMI, and other adipokines, including adiponectin and leptin levels. To identify whether or not plasma total osteocalcin was independently associated with the development of T2DM, we performed a multivariate logistic regression analysis with backward variable selection. Analysis was performed using SPSS (version 13.0; SPSS, Inc. Chicago, IL, USA), and p values of <0.05 were considered significant. Subjects: We recruited study subjects from among those who attended the Kyung Hee University Hospital at Gangdong between December 2006 and July 2009 for the diagnosis, evaluation, or treatment of diabetes. During this period, 1,785 subjects (942 males and 843 females) underwent a 75-g OGTT, and after acquiring informed consent, plasma samples were obtained and stored at −70 C for future studies involving cardiovascular disorders and diabetes. The exclusion criteria applied were as follows: (1) history of metabolic bone diseases, such as hyperparathyroidism; (2) uncontrolled liver or thyroid diseases; (3) acute illnesses, such as infection, surgery, and hospital admission for a medical condition other than diabetes; (4) recent history of a fracture (<6 months); and (5) medications known to affect bone or glucose metabolism, such as glucocorticoids or bisphosphonates. In this study, diabetes mellitus was defined by the presence of one of the following: (1) fasting glucose levels at ≥126 mg/dl (≥7.0 mmol/l) or (2) 2-h post-load glucose levels at ≥200 mg/dl (≥11.1 mmol/l). To eliminate the effects of drugs on insulin secretion and sensitivity driven by OGTT, we limited our study subjects to those who had never been treated with oral glucose-lowering agents to eliminate the effects on glucose tolerance, and insulin secretion and sensitivity measured by OGTT. Finally, 425 subjects, 19–82 years of age (mean age, 53.0 ± 12.0 years), were enrolled in this study. According to the OGTT results, subjects were diagnosed as follows: NGT (n = 23); pre-diabetes (n = 150), which included subjects with impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and both IFG and IGT; and diabetes (n = 252). The study was approved by the Ethics Committee and the Institutional Review Board of Kyung Hee University Hospital and complied with the Declaration of Helsinki. Biochemical measurements: After an overnight fast (8~12 h), a 75-g OGTT was begun between 0800 and 0900 hours according to standardized clinical procedures. In brief, after a cannula was inserted in an antecubital vein for blood sampling, basal blood samples were drawn (0 min), then 75 g of glucose (Diasol®, dissolved in 300 ml of water) was consumed within 5 min. Plasma glucose and insulin levels were then determined 30, 60, 90, and 120 min after the glucose had been administered. In addition, the plasma C-peptide levels were measured at time 0 and 30 min. To estimate insulin sensitivity, HOMA was used based on fasting plasma glucose (FPG) and fasting plasma insulin (FPI) concentrations. Insulin resistance was estimated using HOMA-IR, which was defined as follows: (FPI (μU/mL) × FPG (mmol/L))/22.5. In addition, we estimated insulin sensitivity in the subjects using the three most extensively validated OGTT insulin sensitivity indices against the euglycemic clamp technique in a relatively large numbers of subjects (ISIcomp [13], MCRest [14], and OGIS [15]). To estimate β-cell function, HOMA-B% was calculated as follows: (20 × FPI)/(FPG − 3.5). The insulinogenic index was defined as the ratio of insulin change to plasma glucose change 30 min after a 75-g oral glucose load (Δ insulin, 0–30 min/Δ plasma glucose, 0–30 min) and was used to estimate early phase insulin secretion. In addition, the area under the curve (AUC) of glucose or insulin levels during the OGTT was calculated by the trapezoidal rule, and the ratio of the total AUC insulin to the total AUC glucose (total AUC insulin/glucose) was used to measure the summation of the total insulin secretory capacity [16]. The disposition index was defined as the product of the insulinogenic index and Matsuda’s index and was used for estimating the insulin secretory capacity adjusted for insulin resistance. The plasma glucose levels were determined using the hexokinase method in an autoanalyzer (Hitachi, Tokyo, Japan), which had a CV of 1.7%. The plasma insulin (Biosource, Nivelles, Belgium) and C-peptide levels (Immunotech, Czech Republic) were determined using immunoradiometric assays with intra- and inter-assay CVs of 1.6–2.2% and 6.1–6.5% and 2.3–3.0% and 3.5–5.1%, respectively. The plasma total osteocalcin was measured with an IRMA method using an Osteo-RIACT kit from Cis Bio International (Saclay, France), which had intra- and inter-assay CVs of 1.2–2.8% and 3.6–5.2%, respectively. Total plasma adiponectin and leptin levels were measured by ELISA kits (R&D Systems, Minneapolis, MN, USA), as recommended by the manufacturer. Statistical methods: All data are presented as the means ± SDs or proportions, except for skewed variables, which were presented as the median (interquartile range, 25–75%). Because the distributions of fasting and 2-h plasma insulin levels, AUC insulin, AUC insulin/glucose, HbA1c level, HOMA values, insulinogenic index, disposition index, adiponectin level, and leptin level were skewed as assessed by the Kolmogorov–Smirnov test, the natural logarithmic transformation was applied in the statistical analysis. In the interests of simplicity, nontransformed median values are presented in the tables and text. One-way ANOVA, followed by Turkey’s post hoc test, was used to compare the means between the tertiles of osteocalcin levels. Pearson correlation coefficients were calculated to evaluate the associations between osteocalcin and age, body mass index (BMI), and metabolic parameters (glucose, insulin, and insulin secretory and insulin sensitivity indices). Multiple linear regression analysis was used to determine the associations between plasma osteocalcin and glucose tolerance, and insulin secretory or sensitivity indices after adjusting for age, gender, BMI, and other adipokines, including adiponectin and leptin levels. To identify whether or not plasma total osteocalcin was independently associated with the development of T2DM, we performed a multivariate logistic regression analysis with backward variable selection. Analysis was performed using SPSS (version 13.0; SPSS, Inc. Chicago, IL, USA), and p values of <0.05 were considered significant. Results: We divided the study subjects according to glucose tolerance status, and compared the plasma total osteocalcin levels. The plasma osteocalcin levels were significantly different between the groups (p < 0.001); however, no difference was noted in the osteocalcin levels between the NGT (18.4 ± 9.0 ng/ml) and pre-diabetes groups (19.1 ± 8.9 ng/ml). After the development of diabetes (15.3 ± 6.8 ng/ml), the plasma osteocalcin levels were decreased compared with the pre-diabetes group (Fig. 1). Next, we divided the subjects into tertiles (lower, middle, and upper) by plasma osteocalcin levels; the glucose and HbA1c levels varied inversely with the osteocalcin tertiles, and the insulin secretory capacity, including the AUC insulin/glucose, HOMA-B%, insulinogenic index, and disposition index and insulin sensitivity index (Matsuda’s, Stumvoll’s, and OGIS indices), increased with the osteocalcin tertiles. In addition, the plasma adiponectin levels were increased with the osteocalcin tertiles; however, no difference was noted in the plasma leptin levels with the osteocalcin tertiles (Table 1). To determine whether or not plasma osteocalcin level is independently associated with improved glucose tolerance and insulin sensitivity and secretory capacity, multiple linear regression analyses were performed. The plasma osteocalcin level was inversely associated with FPG and AUC glucose levels and positively associated with the disposition index and Stumvoll’s and OGIS indices after adjusting for age, gender, BMI, and other adipokines including adiponectin and leptin levels (Table 2). To investigate the independent association between the osteocalcin level and diabetes, a multiple logistic regression analysis was performed. The analysis included age, gender, BMI, fasting plasma glucose level, and plasma adiponectin, leptin, and osteocalcin levels. Our results indicated that age and the fasting plasma glucose level appeared to be independently associated with the development of diabetes; the plasma osteocalcin level was inversely associated with the development of diabetes (OR, 0.955; 95% CI, 0.919–0.994, p = 0.023; Table 3). Fig. 1Osteocalcin levels (means ± SDs) by glucose tolerance status. NGT normal glucose tolerance, Pre-DM pre-diabetes, DM diabetes. To convert osteocalcin levels to nanomoles per liter, multiply by 0.171 Table 1Insulin secretion and sensitivity by osteocalcin tertilesVariableOsteocalcin lower tertile (n = 141)Osteocalcin middle tertile (n = 143)Osteocalcin upper tertile (n = 141) p Osteocalcin (ng/ml, range)9.1 ± 3.2 (1.1–13.0)15.7 ± 1.7 (13.1–18.9)25.3 ± 6.7 (19.0–70.7)<0.001Age (year)53.2 ± 13.152.0 ± 11.954.0 ± 10.9NSGender (male/female)74/6789/5460/81NSBMI (kg/m2)25.3 ± 3.525.5 ± 3.825.5 ± 3.8NSGlucose (0′) (mg/dl)155.0 ± 66.7126.1 ± 30.6118.9 ± 28.8<0.001Insulin (0′) (μIU/ml)10.1 (7.2–14.5)10.7 (8.4–14.2)9.9 (7.4–12.9)0.046HbA1c (%)7.7 ± 2.46.6 ± 1.36.4 ± 1.3<0.001AUC glucose (0–120′)28.2 ± 10.724.1 ± 6.822.8 ± 6.9<0.001AUC insulin (0–120′)323.2 (204.9–573.6)438.2 (280.6–693.0)400.5 (263.7–662.9)<0.001AUC insulin/glucose (0–120′)13.5 (7.0–26.0)18.4 (11.6–34.9)19.7 (11.4–31.9)<0.001HOMA-IR3.44 (2.45–5.21)3.47 (2.52–4.26)2.82 (2.05–3.87)0.002HOMA-B%58.6 (32.0–91.7)74.2 (49.0–104.8)75.5 (54.6–97.5)<0.001Insulinogenic index0.18 (0.08–0.44)0.29 (0.15–0.58)0.32 (0.14–0.57)<0.001Matsuda’s index4.12 ± 2.013.85 ± 1.814.53 ± 2.220.018Disposition index0.63 (0.27–1.53)1.04 (0.50–1.86)1.09 (0.60–2.30)<0.001Stumvoll’s index6.40 ± 2.246.57 ± 2.727.10 ± 2.220.040OGIS index324.0 ± 76.9350.3 ± 57.3369.7 ± 57.4<0.001Plasma adiponectin level (μg/ml)2.20 (1.44–2.93)1.80 (1.35–3.20)2.43 (1.68–3.83)<0.001Plasma leptin level (μg/l)5.44 (2.28–13.89)4.82 (2.66–8.37)4.57 (1.72–14.80)NSData are presented as the means ± SDs or median (interquartile range, 25–75%), except as otherwise indicated. To convert glucose levels to milimoles per liter, multiply by 0.0555. To convert insulin levels to picomoles per liter, multiply by 6.945 BMI body mass index, AUC area under the curve, HOMA homeostasis model assessment, ND not determined, NS not significant Table 2Multiple linear regression analysis for glucose tolerance and insulin secretion and sensitivity indicesVariableFPGAUC glucose (0–120′)Disposition indexMatsuda’s indexStumvoll’s indexOGIS indexAge−0.0480.030−0.170***−0.110*−0.104*−0.066BMI−0.0290.016−0.077−0.325***−0.526***−0.142**Adiponectin−0.092−0.131**0.134**0.0590.0480.141**Leptin−0.081−0.0980.127*−0.182***−0.0470.029Osteocalcin−0.269***−0.255***0.142**0.0640.141**0.240***Standard β values from multiple linear regression analysis BMI body mass index*p < 0.05; **p < 0.01; ***p < 0.001 Table 3Multiple logistic regression analysis for diabetesVariableOR per 1-SD increase in variable (95% CI) p Age1.577 (1.152–2.160)0.005Fasting plasma glucose471.399 (120.817–1,839.284)<0.001Total osteocalcin0.726 (0.533–0.988)0.042Age, gender, body mass index, fasting plasma glucose, plasma adiponectin, leptin, and osteocalcin levels were included as dependent variables Osteocalcin levels (means ± SDs) by glucose tolerance status. NGT normal glucose tolerance, Pre-DM pre-diabetes, DM diabetes. To convert osteocalcin levels to nanomoles per liter, multiply by 0.171 Insulin secretion and sensitivity by osteocalcin tertiles Data are presented as the means ± SDs or median (interquartile range, 25–75%), except as otherwise indicated. To convert glucose levels to milimoles per liter, multiply by 0.0555. To convert insulin levels to picomoles per liter, multiply by 6.945 BMI body mass index, AUC area under the curve, HOMA homeostasis model assessment, ND not determined, NS not significant Multiple linear regression analysis for glucose tolerance and insulin secretion and sensitivity indices Standard β values from multiple linear regression analysis BMI body mass index *p < 0.05; **p < 0.01; ***p < 0.001 Multiple logistic regression analysis for diabetes Age, gender, body mass index, fasting plasma glucose, plasma adiponectin, leptin, and osteocalcin levels were included as dependent variables Discussion: In the present study, the plasma levels of osteocalcin were inversely correlated with fasting and 2-h post-load plasma glucose levels and AUC glucose during an OGTT. In addition, the osteocalcin level was positively associated with the parameters which were estimated by the OGTT, reflecting β-cell function and insulin sensitivity. Until now, the associations between osteocalcin and insulin secretion and sensitivity were primarily measured by HOMA values; however, the model predicts the fasting steady-state glucose and insulin concentrations for a wide range of possible combinations of insulin resistance and β-cell function, and it is difficult to determine the true dynamic function of β-cell insulin secretion. In addition, in subjects with severely impaired β-cell function, HOMA-IR did not represent appropriate insulin resistance status [17], and therefore the agreement between HOMA-IR and clamp-measured insulin sensitivity remains controversial [12]. The current study was unique and powered because we determined the association between plasma osteocalcin levels and insulin sensitivity with OGTT-driven dynamic methods that have been extensively validated against euglycemic clamp methods, and determined the β-cell function with diverse parameters, including the HOMA-B%, insulinogenic index, AUC insulin/glucose, and disposition index. According to the original observation by Lee et al. [1], osteocalcin regulates insulin sensitivity, at least in part, through adiponectin gene expression. In the current study, the plasma adiponectin levels were significantly different across the osteocalcin tertiles (p < 0.001) and were positively correlated with the indices representing insulin sensitivity, including Matsuda’s, Stumvoll’s, and OGIS indices (data not shown, all p < 0.01). In multiple linear regression analyses, however, the plasma osteocalcin levels were still significantly associated with improved glucose tolerance and insulin secretion and sensitivity indices even after controlling for the adiponectin levels. Therefore, adiponectin did not mediate the association between the osteocalcin level and glucose tolerance and insulin secretion and sensitivity in humans. In addition, we investigated whether or not the plasma osteocalcin level is inversely associated with the development of T2DM. The results indicated that the plasma osteocalcin level is inversely associated with the development of T2DM independent of well-established risk factors for diabetes, such as age, gender, BMI, and baseline fasting plasma glucose level and circulating adipokines including plasma adiponectin and leptin levels. These results suggest that osteocalcin-mediated increased insulin sensitivity may not involve adiponectin gene upregulation in humans but may involve other mechanisms. This is the first report to demonstrate an independent association, especially independent of plasma adiponectin levels, between plasma osteocalcin levels and improved glucose tolerance and insulin secretion and sensitivity. In contrast with our results, Shea et al. [9] reported that the strength of the association between total osteocalcin and carboxylated osteocalcin with HOMA-IR is somewhat attenuated after adiponectin is accounted for; therefore, they concluded that the association between total osteocalcin and carboxylated osteocalcin with HOMA-IR may depend partially on adiponectin. Although we could not explain the discrepancy between the studies, the different levels of insulin resistance between the study subjects and different measurements assessing insulin sensitivity may be casual. In the current study, no difference in the osteocalcin level was noted between the NGT and pre-diabetes groups, and the level of the pre-diabetes group was somewhat higher compared with the NGT group, although it did not reach statistical significance. Therefore, it is not until diabetes develops that plasma osteocalcin levels are decreased. As a plausible explanation for this finding, it is possible that osteoblasts may secrete more osteocalcin to overcome a given amount of insulin resistance, and more insulin is initially secreted in pancreatic β-cells (pre-diabetes state). However, as insulin resistance becomes more severe, the osteoblast fails to secrete sufficient osteocalcin, insulin secretion is decreased, and diabetes finally develops. In partial agreement with our speculation, Winhofer et al. [10] reported that women with gestational diabetes have higher osteocalcin levels compared with women with NGT during pregnancy while no difference was observed between the two groups 12 weeks postpartum, and therefore, they hypothesized that osteocalcin can enhance insulin secretion in insulin-resistant states. This study had several limitations. First, this study was based on a cross-sectional analysis, and thus, we do not know whether or not our findings are merely correlations or if osteocalcin has direct glucose-lowering effects in human subjects, as in animal- and cell-based studies. Second, we did not differentiate plasma osteocalcin with respect to the gamma-carboxylation status, and only measured the total form of osteocalcin, instead of directly measuring carboxylated and uncarboxylated osteocalcin. Therefore, we do not know the differential mechanism of both types of osteocalcin to regulate insulin secretion and insulin sensitivity. Third, it is known that the levels of bone turnover markers, including plasma osteocalcin, are different according to age, gender, and race or ethnicity [18]. In this study, although we adjusted for age and gender, we could not entirely exclude the effects of age and gender on the associations between plasma osteocalcin levels and glucose metabolism. Lastly, it has been suggested that bone resorption at low pH is necessary to decarboxylate osteocalcin, and thus, osteoclasts determine the carboxylation status and function of osteocalcin in mice [19] and possibly in humans [20]. Therefore, the additional measurement of bone resorption markers may further clarify the potential association between bone resorption, osteocalcin, and glucose homeostasis in humans. In conclusion, an elevated plasma osteocalcin level was associated with improved glucose tolerance and may be associated with increased β-cell function and insulin sensitivity. However, it appears that the glucose-lowering and insulin-sensitizing effect of osteocalcin is not mediated by an increment in the plasma adiponectin level in humans.
Background: Recent animal studies have suggested crosstalk between bone and energy metabolism through osteocalcin. The aims of this study were to determine whether or not osteocalcin is associated with the improved glucose tolerance and insulin secretion and sensitivity, and whether or not the association is dependent on the plasma adiponectin level in humans. Methods: Four hundred twenty-five subjects, 19-82 years of age (mean age, 53 years), were enrolled. An oral glucose tolerance test (OGTT) and OGTT-based methods that were validated against the euglycemic clamp were determined. Total osteocalcin, leptin, and total adiponectin levels were measured. Results: The plasma levels of total osteocalcin were significantly different between the normal glucose tolerance, pre-diabetes, and diabetes groups. The glucose levels and homeostasis model assessment insulin resistance values varied inversely with the osteocalcin tertiles, and OGTT-based insulin secretion (HOMA-B%, disposition index) and insulin sensitivity indices (Stumvoll's and OGIS indices) were increased with the tertiles. Although the plasma adiponectin level was positively correlated with the osteocalcin level, no changes in the association were noted between the plasma osteocalcin level and the glucose tolerance or insulin secretion and sensitivity indices after adjustment for the plasma adiponectin level. Based on multiple logistic regression analysis, the plasma osteocalcin level was inversely associated with the development of type 2 diabetes mellitus independent of age, gender, body mass index, and fasting plasma glucose and plasma adiponectin levels. Conclusions: Circulating osteocalcin level is associated with improved glucose tolerance and insulin secretion and sensitivity independent of the plasma adiponectin level in humans.
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6,403
307
[ 399, 552, 275 ]
7
[ "insulin", "glucose", "osteocalcin", "plasma", "levels", "sensitivity", "diabetes", "index", "subjects", "adiponectin" ]
[ "osteocalcin level glucose", "associations osteocalcin insulin", "osteocalcin glucose metabolism", "osteocalcin insulin secretion", "osteocalcin regulate insulin" ]
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[CONTENT] Adiponectin | Insulin resistance | Insulin secretion | Osteocalcin [SUMMARY]
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[CONTENT] Adiponectin | Insulin resistance | Insulin secretion | Osteocalcin [SUMMARY]
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[CONTENT] Adiponectin | Insulin resistance | Insulin secretion | Osteocalcin [SUMMARY]
null
[CONTENT] Adiponectin | Adult | Aged | Aged, 80 and over | Biomarkers | Blood Glucose | Diabetes Mellitus, Type 2 | Fasting | Female | Glucose Tolerance Test | Humans | Insulin | Insulin Resistance | Insulin Secretion | Male | Middle Aged | Osteocalcin | Prediabetic State | Young Adult [SUMMARY]
null
[CONTENT] Adiponectin | Adult | Aged | Aged, 80 and over | Biomarkers | Blood Glucose | Diabetes Mellitus, Type 2 | Fasting | Female | Glucose Tolerance Test | Humans | Insulin | Insulin Resistance | Insulin Secretion | Male | Middle Aged | Osteocalcin | Prediabetic State | Young Adult [SUMMARY]
null
[CONTENT] Adiponectin | Adult | Aged | Aged, 80 and over | Biomarkers | Blood Glucose | Diabetes Mellitus, Type 2 | Fasting | Female | Glucose Tolerance Test | Humans | Insulin | Insulin Resistance | Insulin Secretion | Male | Middle Aged | Osteocalcin | Prediabetic State | Young Adult [SUMMARY]
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[CONTENT] osteocalcin level glucose | associations osteocalcin insulin | osteocalcin glucose metabolism | osteocalcin insulin secretion | osteocalcin regulate insulin [SUMMARY]
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[CONTENT] osteocalcin level glucose | associations osteocalcin insulin | osteocalcin glucose metabolism | osteocalcin insulin secretion | osteocalcin regulate insulin [SUMMARY]
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[CONTENT] osteocalcin level glucose | associations osteocalcin insulin | osteocalcin glucose metabolism | osteocalcin insulin secretion | osteocalcin regulate insulin [SUMMARY]
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[CONTENT] insulin | glucose | osteocalcin | plasma | levels | sensitivity | diabetes | index | subjects | adiponectin [SUMMARY]
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[CONTENT] insulin | glucose | osteocalcin | plasma | levels | sensitivity | diabetes | index | subjects | adiponectin [SUMMARY]
null
[CONTENT] insulin | glucose | osteocalcin | plasma | levels | sensitivity | diabetes | index | subjects | adiponectin [SUMMARY]
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[CONTENT] insulin | osteocalcin | insulin sensitivity | serum | sensitivity | glucose | associated | level | concentration | human studies [SUMMARY]
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[CONTENT] osteocalcin | levels | glucose | plasma | osteocalcin levels | convert | liter multiply | liter | table | multiply [SUMMARY]
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[CONTENT] insulin | glucose | osteocalcin | plasma | levels | sensitivity | diabetes | level | min | insulin sensitivity [SUMMARY]
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[CONTENT] ||| [SUMMARY]
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[CONTENT] ||| Stumvoll ||| ||| 2 | plasma adiponectin [SUMMARY]
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[CONTENT] ||| ||| ||| Four hundred twenty-five | 19-82 years of age | 53 years ||| ||| leptin ||| ||| ||| Stumvoll ||| ||| 2 | plasma adiponectin ||| [SUMMARY]
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Treatment outcomes of adult patients with recurrent tuberculosis in relation to HIV status in Zimbabwe: a retrospective record review.
22329930
Zimbabwe is a Southern African country with a high HIV-TB burden and is ranked 19th among the 22 Tuberculosis high burden countries worldwide. Recurrent TB is an important problem for TB control, yet there is limited information about treatment outcomes in relation to HIV status. This study was therefore conducted in Chitungwiza, a high density dormitory town outside the capital city, to determine in adults registered with recurrent TB how treatment outcomes were affected by type of recurrence and HIV status.
BACKGROUND
Data were abstracted from the Chitungwiza district TB register for all 225 adult TB patients who had previously been on anti-TB treatment and who were registered as recurrent TB from January to December 2009. The Chi-square and Fischer's exact tests were used to establish associations between categorical variables. Multivariate relative risks for associations between the various TB treatment outcomes and HIV status, type of recurrent TB, sex and age were calculated using Poisson regression with robust error variance.
METHODS
Of 225 registered TB patients with recurrent TB, 159 (71%) were HIV tested, 135 (85%) were HIV-positive and 20 (15%) were known to be on antiretroviral treatment (ART). More females were HIV-tested (75/90, 83%) compared with males (84/135, 62%). There were 103 (46%) with relapse TB, 32 (14%) with treatment after default, and 90 (40%) with "retreatment other" TB. There was one failure patient. HIV-testing and HIV-positivity were similar between patients with different types of TB. Overall, treatment success was 73% with transfer-outs at 14% being the most common adverse outcome. TB treatment outcomes did not differ by HIV status. However those with relapse TB had better treatment success compared to "retreatment other" TB patients, (adjusted RR 0.81; 95% CI 0.68 - 0.97, p = 0.02).
RESULTS
No differences in treatment outcomes by HIV status were established in patients with recurrent TB. Important lessons from this study include increasing HIV testing uptake, a better understanding of what constitutes "retreatment other" TB, improved follow-up of true outcomes in patients who transfer-out and better recording practices related to HIV care and treatment especially for ART.
CONCLUSIONS
[ "Adult", "Antitubercular Agents", "Coinfection", "Female", "HIV Seropositivity", "Humans", "Male", "Medical Audit", "Middle Aged", "Outcome Assessment, Health Care", "Recurrence", "Retrospective Studies", "Tuberculosis", "Young Adult", "Zimbabwe" ]
3305664
Background
The global burden of tuberculosis (TB) is highest in the Sub-Saharan Africa region [1] and this can be attributed to the high prevalence of human immunodeficiency virus infection (HIV) which is known to increase the risk of developing TB [2,3]. Tuberculosis cases are categorised as new and recurrent, the latter referring to patients who have been previously treated. Recurrence of TB can be attributed to relapse with a persistent Mycobacterium tuberculosis strain [4] or reinfection with a different strain [5,6]. Several studies have shown that HIV infection increases the rate of TB recurrence after successful completion of TB treatment in high HIV endemic areas, with recurrence often being due to a reinfection [6-9]. Despite evidence from clinical trial settings indicating that rates of recurrent TB can be reduced by administration of rifampicin-based treatment [10], there has been a steady increase in the number of tuberculosis (TB) case notifications that are categorised as recurrent or "retreatment". Since 1995, when the global DOTS framework was launched, up to 2008, the annual number of retreatment cases globally has increased from 59,240 to 775,403 [1]. In the WHO Africa region, the annual number of notified retreatment TB cases had increased from 15,133 in 1995 to 135,564 by the end of 2008, with 53,190 being relapse cases and 82,374 being registered in other retreatment categories [1]. In general, the treatment outcomes of retreatment cases are not as good as with new cases of TB as shown by global statistics for the 2008 cohorts, whereby only 72% of retreatment cases (and 71% from the Africa region) successfully completed treatment [1]. Zimbabwe is a country in Southern Africa with a population of 13 million and a large HIV-TB burden. Zimbabwe, which ranks 19th among the 22 Tuberculosis high burden countries, had a TB incidence rate of 762 cases per 100,000 population and an HIV co-infection prevalence of above 75% in 2008 [1]. There were 3631 (10%) notified retreatment cases out of a total of 36,650 cases registered in 2008, and these cases had a treatment success rate that was reported at 73% compared to 69% and 74% for new smear-positive TB cases and new-smear negative/extra-pulmonary TB cases respectively [1]. In 2008, the estimated number of retreatment TB cases with multi-drug resistant (MDR) TB (resistant to both isoniazid and rifampicin) was 8.3% (95% CI; 2.9-22). However, from 2005 to 2009, there were no notified retreatment cases that were actually tested for drug resistance [1], so this estimate cannot be confirmed. HIV-infected TB patients should now receive a package of cotrimoxazole preventive therapy (CPT) and antiretroviral therapy (ART), both of which can reduce case fatality and increase treatment success if administered early enough during anti-TB treatment [11-15]. It is therefore important that TB patients should undergo HIV testing as soon as TB is diagnosed, so that they can access these adjunctive therapies. Given the high HIV prevalence in Zimbabwe and the growing importance of recurrent TB, we determined in one district in Zimbabwe (i) the type of tuberculosis in adult patients registered with recurrent TB, ii) the proportion that were HIV tested with their results and (iii) the treatment outcomes of recurrent TB patients in relation to type of TB and HIV status.
Methods
Study design This was a retrospective record review of adult patients registered as "recurrent TB". This was a retrospective record review of adult patients registered as "recurrent TB". Study setting All public health facilities in Chitungwiza were selected for this study. Chitungwiza is a high density dormitory town which is situated about 20 km from Zimbabwe's capital city, Harare, and has a population of 343 147 [16]. All health facilities consisting of a government central hospital and four polyclinics, which are under the Chitungwiza City Health Department, offer general health services including TB treatment services. However, TB laboratory diagnosis through direct smear microscopy examination is only carried out at the government central hospital where all collected sputum smears in the district are sent. All health facilities offer HIV counselling and testing services and cotrimoxazole prophylaxis free of charge for confirmed HIV-positive patients as recommended by the Zimbabwe National TB Control Programme (NTP). In 2009 ART initiation and HIV treatment and care services in Chitungwiza were only offered at an ART initiating facility at the government central hospital where all HIV-positive patients in the district were referred. TB Diagnosis and Definitions Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or "retreatment other" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17]. After TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted. After diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment. Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or "retreatment other" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17]. After TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted. After diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment. All public health facilities in Chitungwiza were selected for this study. Chitungwiza is a high density dormitory town which is situated about 20 km from Zimbabwe's capital city, Harare, and has a population of 343 147 [16]. All health facilities consisting of a government central hospital and four polyclinics, which are under the Chitungwiza City Health Department, offer general health services including TB treatment services. However, TB laboratory diagnosis through direct smear microscopy examination is only carried out at the government central hospital where all collected sputum smears in the district are sent. All health facilities offer HIV counselling and testing services and cotrimoxazole prophylaxis free of charge for confirmed HIV-positive patients as recommended by the Zimbabwe National TB Control Programme (NTP). In 2009 ART initiation and HIV treatment and care services in Chitungwiza were only offered at an ART initiating facility at the government central hospital where all HIV-positive patients in the district were referred. TB Diagnosis and Definitions Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or "retreatment other" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17]. After TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted. After diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment. Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or "retreatment other" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17]. After TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted. After diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment. Data collection Data were collected for all adult TB patients registered in the District TB register for Chitungwiza between 1 January 2009 and 31 December 2009 who had previously been on TB treatment for more than one month. An adult was defined as a person 18 years and older. Patient data were abstracted from the District TB registers between October 2010 and February 2011 using a data collection form, and variables that were collected included:- TB registration number, age, sex, type and category of recurrent TB, HIV status (HIV test done or not done, HIV-negative or HIV-positive), treatment outcome (treatment success, died, defaulter, transferred out and failure) and cotrimoxazole use. For patients registered in 2009, ART data were not available in the district TB registers, hence information about ART use in HIV-infected TB patients was obtained from the ART register at Chitungwiza Central hospital ART clinic were HIV-infected patients were referred for ART initiation in this district. TB registration numbers were collected as patient identifiers but however patient names had to be used to trace HIV-infected TB patients commenced on ART from the ART register. Data were collected for all adult TB patients registered in the District TB register for Chitungwiza between 1 January 2009 and 31 December 2009 who had previously been on TB treatment for more than one month. An adult was defined as a person 18 years and older. Patient data were abstracted from the District TB registers between October 2010 and February 2011 using a data collection form, and variables that were collected included:- TB registration number, age, sex, type and category of recurrent TB, HIV status (HIV test done or not done, HIV-negative or HIV-positive), treatment outcome (treatment success, died, defaulter, transferred out and failure) and cotrimoxazole use. For patients registered in 2009, ART data were not available in the district TB registers, hence information about ART use in HIV-infected TB patients was obtained from the ART register at Chitungwiza Central hospital ART clinic were HIV-infected patients were referred for ART initiation in this district. TB registration numbers were collected as patient identifiers but however patient names had to be used to trace HIV-infected TB patients commenced on ART from the ART register. Statistical analysis Patient information was coded, entered and cleaned using Epidata version 3.1 statistical software. Data were then imported and analysed using Stata 10 (Stata Corporation, College Station, Texas). The Chi-squared test or alternatively the Fischer's Exact test was used to determine if there were associations between categorical variables. TB treatment outcomes were categorised into binary data with possible outcome events being treatment success, death, transfer-outs, defaulters and treatment failure. Poisson regression with error variance was then used to estimate multivariate-adjusted relative risks for associations between the various TB treatment outcomes and HIV status, type of recurrent TB, sex and age. The modified Poisson regression model with the robust error variance option was used as it is a better approach for estimating relative risks for cohort studies compared to using logistic regression [21]. Assumptions of this statistical model were not violated as the model provides relative biases and percentages of confidence interval coverage which are reliable with a minimum sample size of 100 [21]. Relative risks for treatment failure, however, could not be calculated as there were no data in each subgroup to perform meaningful Poisson regression analysis. The 5% significance level was used in this study. Patient information was coded, entered and cleaned using Epidata version 3.1 statistical software. Data were then imported and analysed using Stata 10 (Stata Corporation, College Station, Texas). The Chi-squared test or alternatively the Fischer's Exact test was used to determine if there were associations between categorical variables. TB treatment outcomes were categorised into binary data with possible outcome events being treatment success, death, transfer-outs, defaulters and treatment failure. Poisson regression with error variance was then used to estimate multivariate-adjusted relative risks for associations between the various TB treatment outcomes and HIV status, type of recurrent TB, sex and age. The modified Poisson regression model with the robust error variance option was used as it is a better approach for estimating relative risks for cohort studies compared to using logistic regression [21]. Assumptions of this statistical model were not violated as the model provides relative biases and percentages of confidence interval coverage which are reliable with a minimum sample size of 100 [21]. Relative risks for treatment failure, however, could not be calculated as there were no data in each subgroup to perform meaningful Poisson regression analysis. The 5% significance level was used in this study. Ethics Access to data in the TB registers was granted by the Ministry of Health and Child Welfare whilst ethics approval was obtained from the Medical Research Council of Zimbabwe and the Union Ethics Advisory Group in Paris, France. Access to data in the TB registers was granted by the Ministry of Health and Child Welfare whilst ethics approval was obtained from the Medical Research Council of Zimbabwe and the Union Ethics Advisory Group in Paris, France.
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null
Conclusions
The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2458/12/124/prepub
[ "Background", "Study design", "Study setting", "TB Diagnosis and Definitions", "Data collection", "Statistical analysis", "Ethics", "Results", "Characteristics of patients with recurrent TB", "TB treatment outcomes in relation to type of TB and HIV status", "Discussion", "Conclusions" ]
[ "The global burden of tuberculosis (TB) is highest in the Sub-Saharan Africa region [1] and this can be attributed to the high prevalence of human immunodeficiency virus infection (HIV) which is known to increase the risk of developing TB [2,3]. Tuberculosis cases are categorised as new and recurrent, the latter referring to patients who have been previously treated. Recurrence of TB can be attributed to relapse with a persistent Mycobacterium tuberculosis strain [4] or reinfection with a different strain [5,6]. Several studies have shown that HIV infection increases the rate of TB recurrence after successful completion of TB treatment in high HIV endemic areas, with recurrence often being due to a reinfection [6-9].\nDespite evidence from clinical trial settings indicating that rates of recurrent TB can be reduced by administration of rifampicin-based treatment [10], there has been a steady increase in the number of tuberculosis (TB) case notifications that are categorised as recurrent or \"retreatment\". Since 1995, when the global DOTS framework was launched, up to 2008, the annual number of retreatment cases globally has increased from 59,240 to 775,403 [1]. In the WHO Africa region, the annual number of notified retreatment TB cases had increased from 15,133 in 1995 to 135,564 by the end of 2008, with 53,190 being relapse cases and 82,374 being registered in other retreatment categories [1]. In general, the treatment outcomes of retreatment cases are not as good as with new cases of TB as shown by global statistics for the 2008 cohorts, whereby only 72% of retreatment cases (and 71% from the Africa region) successfully completed treatment [1].\nZimbabwe is a country in Southern Africa with a population of 13 million and a large HIV-TB burden. Zimbabwe, which ranks 19th among the 22 Tuberculosis high burden countries, had a TB incidence rate of 762 cases per 100,000 population and an HIV co-infection prevalence of above 75% in 2008 [1]. There were 3631 (10%) notified retreatment cases out of a total of 36,650 cases registered in 2008, and these cases had a treatment success rate that was reported at 73% compared to 69% and 74% for new smear-positive TB cases and new-smear negative/extra-pulmonary TB cases respectively [1].\nIn 2008, the estimated number of retreatment TB cases with multi-drug resistant (MDR) TB (resistant to both isoniazid and rifampicin) was 8.3% (95% CI; 2.9-22). However, from 2005 to 2009, there were no notified retreatment cases that were actually tested for drug resistance [1], so this estimate cannot be confirmed. HIV-infected TB patients should now receive a package of cotrimoxazole preventive therapy (CPT) and antiretroviral therapy (ART), both of which can reduce case fatality and increase treatment success if administered early enough during anti-TB treatment [11-15]. It is therefore important that TB patients should undergo HIV testing as soon as TB is diagnosed, so that they can access these adjunctive therapies.\nGiven the high HIV prevalence in Zimbabwe and the growing importance of recurrent TB, we determined in one district in Zimbabwe (i) the type of tuberculosis in adult patients registered with recurrent TB, ii) the proportion that were HIV tested with their results and (iii) the treatment outcomes of recurrent TB patients in relation to type of TB and HIV status.", "This was a retrospective record review of adult patients registered as \"recurrent TB\".", "All public health facilities in Chitungwiza were selected for this study. Chitungwiza is a high density dormitory town which is situated about 20 km from Zimbabwe's capital city, Harare, and has a population of 343 147 [16]. All health facilities consisting of a government central hospital and four polyclinics, which are under the Chitungwiza City Health Department, offer general health services including TB treatment services. However, TB laboratory diagnosis through direct smear microscopy examination is only carried out at the government central hospital where all collected sputum smears in the district are sent. All health facilities offer HIV counselling and testing services and cotrimoxazole prophylaxis free of charge for confirmed HIV-positive patients as recommended by the Zimbabwe National TB Control Programme (NTP). In 2009 ART initiation and HIV treatment and care services in Chitungwiza were only offered at an ART initiating facility at the government central hospital where all HIV-positive patients in the district were referred.\n TB Diagnosis and Definitions Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or \"retreatment other\" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17].\nAfter TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted.\nAfter diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment.\nPatients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or \"retreatment other\" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17].\nAfter TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted.\nAfter diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment.", "Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or \"retreatment other\" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17].\nAfter TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted.\nAfter diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment.", "Data were collected for all adult TB patients registered in the District TB register for Chitungwiza between 1 January 2009 and 31 December 2009 who had previously been on TB treatment for more than one month. An adult was defined as a person 18 years and older. Patient data were abstracted from the District TB registers between October 2010 and February 2011 using a data collection form, and variables that were collected included:- TB registration number, age, sex, type and category of recurrent TB, HIV status (HIV test done or not done, HIV-negative or HIV-positive), treatment outcome (treatment success, died, defaulter, transferred out and failure) and cotrimoxazole use. For patients registered in 2009, ART data were not available in the district TB registers, hence information about ART use in HIV-infected TB patients was obtained from the ART register at Chitungwiza Central hospital ART clinic were HIV-infected patients were referred for ART initiation in this district. TB registration numbers were collected as patient identifiers but however patient names had to be used to trace HIV-infected TB patients commenced on ART from the ART register.", "Patient information was coded, entered and cleaned using Epidata version 3.1 statistical software. Data were then imported and analysed using Stata 10 (Stata Corporation, College Station, Texas). The Chi-squared test or alternatively the Fischer's Exact test was used to determine if there were associations between categorical variables. TB treatment outcomes were categorised into binary data with possible outcome events being treatment success, death, transfer-outs, defaulters and treatment failure. Poisson regression with error variance was then used to estimate multivariate-adjusted relative risks for associations between the various TB treatment outcomes and HIV status, type of recurrent TB, sex and age.\nThe modified Poisson regression model with the robust error variance option was used as it is a better approach for estimating relative risks for cohort studies compared to using logistic regression [21]. Assumptions of this statistical model were not violated as the model provides relative biases and percentages of confidence interval coverage which are reliable with a minimum sample size of 100 [21]. Relative risks for treatment failure, however, could not be calculated as there were no data in each subgroup to perform meaningful Poisson regression analysis. The 5% significance level was used in this study.", "Access to data in the TB registers was granted by the Ministry of Health and Child Welfare whilst ethics approval was obtained from the Medical Research Council of Zimbabwe and the Union Ethics Advisory Group in Paris, France.", " Characteristics of patients with recurrent TB There were 225 registered patients with recurrent TB, of whom 135 (60%) were males. Results of HIV testing and documented referral of HIV-infected TB patients to ART are shown in Additional file 1: Figure S1. Just over 70% of patients were tested for HIV and of these patients 85% were HIV-positive, but only 15% were documented as being initiated on ART. There were no data in the registers about initiation of HIV-infected TB patients on CPT. Table 1 shows results of HIV testing and HIV serostatus in relation to type of TB, sex and age. Proportions of patients HIV tested were similar across all the different types of recurrent TB (p = 0.476). However, HIV-positivity had a borderline association with type of TB (p = 0.052) being highest among relapse cases (89%) compared to treatment after default patients (70%) - p = 0.037. Though more females were tested (75/90, 83%) compared to males (84/135, 62%) - p = 0.001, HIV-positivity was similar between the 2 groups. HIV testing was highest in the 45 to 54 year age group (87%) compared to other age groups but HIV-positivity was similar (p > 0.99) across the age groups.\nHIV testing and HIV serostatus in relation to TB type, sex and age\nTB tuberculosis, HIV human immunodeficiency syndrome\nThere were 225 registered patients with recurrent TB, of whom 135 (60%) were males. Results of HIV testing and documented referral of HIV-infected TB patients to ART are shown in Additional file 1: Figure S1. Just over 70% of patients were tested for HIV and of these patients 85% were HIV-positive, but only 15% were documented as being initiated on ART. There were no data in the registers about initiation of HIV-infected TB patients on CPT. Table 1 shows results of HIV testing and HIV serostatus in relation to type of TB, sex and age. Proportions of patients HIV tested were similar across all the different types of recurrent TB (p = 0.476). However, HIV-positivity had a borderline association with type of TB (p = 0.052) being highest among relapse cases (89%) compared to treatment after default patients (70%) - p = 0.037. Though more females were tested (75/90, 83%) compared to males (84/135, 62%) - p = 0.001, HIV-positivity was similar between the 2 groups. HIV testing was highest in the 45 to 54 year age group (87%) compared to other age groups but HIV-positivity was similar (p > 0.99) across the age groups.\nHIV testing and HIV serostatus in relation to TB type, sex and age\nTB tuberculosis, HIV human immunodeficiency syndrome\n TB treatment outcomes in relation to type of TB and HIV status Treatment outcomes for all patients with recurrent TB in relation to HIV status, type of TB, sex and age group are shown in Table 2. The treatment success rate was 73% for all TB patients, regardless of HIV status. Patients who transferred out (14%) constituted the majority of those with adverse treatment outcomes, with 15 (49%) being HIV-positive with undocumented ART status. For all patients, treatment success rates were similar regardless of HIV status (HIV test done or not done, HIV test positive or negative). Treatment success rates were also similar when stratified by sex and age group, with transfer outs being the most common adverse outcomes. TB treatment success rate was however highest in those with relapse TB (80%) compared to \"retreatment other\" TB patients (adjusted RR 0.81; 95% CI 0.68 - 0.97, p = 0.02). For all other adverse treatment outcomes, there were no significant multivariate-adjusted relative risks for associations with HIV status, type of TB, sex and age.\nTB treatment outcomes for all recurrent TB patients in relation to HIV status, type of TB, sex and age\na 2 patients with unrecorded HIV status and 3 with HIV-indeterminate results have been excluded; b 2 patients with unrecorded TB treatment outcomes have been excluded\nTB tuberculosis, ART antiretroviral treatment, HIV human immunodeficiency virus\nSignificant statistical comparisons using multivariate Poisson regression: * p < 0.05 compared with relapse TB\nTreatment outcomes for all patients with recurrent TB in relation to HIV status, type of TB, sex and age group are shown in Table 2. The treatment success rate was 73% for all TB patients, regardless of HIV status. Patients who transferred out (14%) constituted the majority of those with adverse treatment outcomes, with 15 (49%) being HIV-positive with undocumented ART status. For all patients, treatment success rates were similar regardless of HIV status (HIV test done or not done, HIV test positive or negative). Treatment success rates were also similar when stratified by sex and age group, with transfer outs being the most common adverse outcomes. TB treatment success rate was however highest in those with relapse TB (80%) compared to \"retreatment other\" TB patients (adjusted RR 0.81; 95% CI 0.68 - 0.97, p = 0.02). For all other adverse treatment outcomes, there were no significant multivariate-adjusted relative risks for associations with HIV status, type of TB, sex and age.\nTB treatment outcomes for all recurrent TB patients in relation to HIV status, type of TB, sex and age\na 2 patients with unrecorded HIV status and 3 with HIV-indeterminate results have been excluded; b 2 patients with unrecorded TB treatment outcomes have been excluded\nTB tuberculosis, ART antiretroviral treatment, HIV human immunodeficiency virus\nSignificant statistical comparisons using multivariate Poisson regression: * p < 0.05 compared with relapse TB", "There were 225 registered patients with recurrent TB, of whom 135 (60%) were males. Results of HIV testing and documented referral of HIV-infected TB patients to ART are shown in Additional file 1: Figure S1. Just over 70% of patients were tested for HIV and of these patients 85% were HIV-positive, but only 15% were documented as being initiated on ART. There were no data in the registers about initiation of HIV-infected TB patients on CPT. Table 1 shows results of HIV testing and HIV serostatus in relation to type of TB, sex and age. Proportions of patients HIV tested were similar across all the different types of recurrent TB (p = 0.476). However, HIV-positivity had a borderline association with type of TB (p = 0.052) being highest among relapse cases (89%) compared to treatment after default patients (70%) - p = 0.037. Though more females were tested (75/90, 83%) compared to males (84/135, 62%) - p = 0.001, HIV-positivity was similar between the 2 groups. HIV testing was highest in the 45 to 54 year age group (87%) compared to other age groups but HIV-positivity was similar (p > 0.99) across the age groups.\nHIV testing and HIV serostatus in relation to TB type, sex and age\nTB tuberculosis, HIV human immunodeficiency syndrome", "Treatment outcomes for all patients with recurrent TB in relation to HIV status, type of TB, sex and age group are shown in Table 2. The treatment success rate was 73% for all TB patients, regardless of HIV status. Patients who transferred out (14%) constituted the majority of those with adverse treatment outcomes, with 15 (49%) being HIV-positive with undocumented ART status. For all patients, treatment success rates were similar regardless of HIV status (HIV test done or not done, HIV test positive or negative). Treatment success rates were also similar when stratified by sex and age group, with transfer outs being the most common adverse outcomes. TB treatment success rate was however highest in those with relapse TB (80%) compared to \"retreatment other\" TB patients (adjusted RR 0.81; 95% CI 0.68 - 0.97, p = 0.02). For all other adverse treatment outcomes, there were no significant multivariate-adjusted relative risks for associations with HIV status, type of TB, sex and age.\nTB treatment outcomes for all recurrent TB patients in relation to HIV status, type of TB, sex and age\na 2 patients with unrecorded HIV status and 3 with HIV-indeterminate results have been excluded; b 2 patients with unrecorded TB treatment outcomes have been excluded\nTB tuberculosis, ART antiretroviral treatment, HIV human immunodeficiency virus\nSignificant statistical comparisons using multivariate Poisson regression: * p < 0.05 compared with relapse TB", "This study in Chitungwiza district in Zimbabwe showed a very high HIV prevalence in patients registered with recurrent TB, but we did not find significant differences in treatment outcomes in relation to HIV status, age or sex. However, relapse TB patients had better treatment success compared to \"retreatment other\" TB patients.\nThere are a number of important findings from our study. Although HIV testing should be offered to all registered patients with TB, nearly one third of those with recurrent TB had no HIV test done. We do not know the reasons for this, and this particular issue deserves further investigation. HIV testing uptake was much better in females than males, and better strategies of encouraging males to be HIV tested need to be found and assessed.\nThe majority of patients with recurrent TB were HIV-positive, yet only 15% were documented to be receiving ART. There may be several reasons for this that include poor referral and access to ART services by HIV-TB patients in Chitungwiza district or a poor recording and reporting system. For patients registered in 2009, the only way to find whether HIV-TB patients had accessed ART was to review the ART registers for Chitungwiza district and try to match the names of HIV-infected TB patients with those from the TB register - matching was not possible and this is therefore a limitation of the study. HIV-TB patients who had transferred out and started ART in another district would also not be identified by this method and therefore missed for the purposes of this study. Since 2010, HIV and TB activities have been integrated into TB registers, and there should now be better data on ART. There was also no record of CPT use in the TB register and this needs improvement as well.\nFinally, there was a high transfer out rate which adversely impacted on treatment success. A transfer out is defined as a patient who has been transferred to a health facility in another district and the treatment outcome results have not been reported back to the referring treatment unit who have the duty to report on these patients. This is an area where the Zimbabwe NTP needs to improve and ensure that centres who receive transfer-in patients report back the treatment outcomes to the facilities that initiated TB treatment.\nThis was a district based study where data were collected for TB patients under routine programme conditions. Hence, it may be difficult to ensure completeness, consistency and accuracy of data. Our study sample was small therefore it may have reduced the power of the study. We also were unable to adjust for the potential confounding effect of ART and TB treatment compliance and disease severity when assessing the association between TB treatment outcomes and HIV status as the data were unavailable.", "In conclusion, there are some important lessons to learn from the study. More attention should be paid to dissecting out the various categories of patients who are classified together under \"retreatment other\" to determine whether outcomes are similar or different. Relapse patients appear to do better, but the power of our sample may have been insufficient to detect this. Improving the follow up of outcomes in transferred out patients coupled with better recording practices of HIV care and treatment will allow better analysis of the relationship between TB treatment outcomes and HIV status. Transfer outs may also be lessened by integration of TB treatment services and ART initiation in all health facilities.\nThere needs to be a higher uptake of HIV testing in TB patients, especially in males. If those found HIV-positive are followed up and given CPT and early ART, this may improve overall treatment outcomes. There needs to be much better recording practices of HIV care and treatment, especially with regard to CPT and ART. Future research of a prospective nature with a larger cohort of recurrent TB patients may more clearly establish the impact of HIV testing on TB treatment outcomes under programmatic conditions." ]
[ null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Study design", "Study setting", "TB Diagnosis and Definitions", "Data collection", "Statistical analysis", "Ethics", "Results", "Characteristics of patients with recurrent TB", "TB treatment outcomes in relation to type of TB and HIV status", "Discussion", "Conclusions", "Supplementary Material" ]
[ "The global burden of tuberculosis (TB) is highest in the Sub-Saharan Africa region [1] and this can be attributed to the high prevalence of human immunodeficiency virus infection (HIV) which is known to increase the risk of developing TB [2,3]. Tuberculosis cases are categorised as new and recurrent, the latter referring to patients who have been previously treated. Recurrence of TB can be attributed to relapse with a persistent Mycobacterium tuberculosis strain [4] or reinfection with a different strain [5,6]. Several studies have shown that HIV infection increases the rate of TB recurrence after successful completion of TB treatment in high HIV endemic areas, with recurrence often being due to a reinfection [6-9].\nDespite evidence from clinical trial settings indicating that rates of recurrent TB can be reduced by administration of rifampicin-based treatment [10], there has been a steady increase in the number of tuberculosis (TB) case notifications that are categorised as recurrent or \"retreatment\". Since 1995, when the global DOTS framework was launched, up to 2008, the annual number of retreatment cases globally has increased from 59,240 to 775,403 [1]. In the WHO Africa region, the annual number of notified retreatment TB cases had increased from 15,133 in 1995 to 135,564 by the end of 2008, with 53,190 being relapse cases and 82,374 being registered in other retreatment categories [1]. In general, the treatment outcomes of retreatment cases are not as good as with new cases of TB as shown by global statistics for the 2008 cohorts, whereby only 72% of retreatment cases (and 71% from the Africa region) successfully completed treatment [1].\nZimbabwe is a country in Southern Africa with a population of 13 million and a large HIV-TB burden. Zimbabwe, which ranks 19th among the 22 Tuberculosis high burden countries, had a TB incidence rate of 762 cases per 100,000 population and an HIV co-infection prevalence of above 75% in 2008 [1]. There were 3631 (10%) notified retreatment cases out of a total of 36,650 cases registered in 2008, and these cases had a treatment success rate that was reported at 73% compared to 69% and 74% for new smear-positive TB cases and new-smear negative/extra-pulmonary TB cases respectively [1].\nIn 2008, the estimated number of retreatment TB cases with multi-drug resistant (MDR) TB (resistant to both isoniazid and rifampicin) was 8.3% (95% CI; 2.9-22). However, from 2005 to 2009, there were no notified retreatment cases that were actually tested for drug resistance [1], so this estimate cannot be confirmed. HIV-infected TB patients should now receive a package of cotrimoxazole preventive therapy (CPT) and antiretroviral therapy (ART), both of which can reduce case fatality and increase treatment success if administered early enough during anti-TB treatment [11-15]. It is therefore important that TB patients should undergo HIV testing as soon as TB is diagnosed, so that they can access these adjunctive therapies.\nGiven the high HIV prevalence in Zimbabwe and the growing importance of recurrent TB, we determined in one district in Zimbabwe (i) the type of tuberculosis in adult patients registered with recurrent TB, ii) the proportion that were HIV tested with their results and (iii) the treatment outcomes of recurrent TB patients in relation to type of TB and HIV status.", " Study design This was a retrospective record review of adult patients registered as \"recurrent TB\".\nThis was a retrospective record review of adult patients registered as \"recurrent TB\".\n Study setting All public health facilities in Chitungwiza were selected for this study. Chitungwiza is a high density dormitory town which is situated about 20 km from Zimbabwe's capital city, Harare, and has a population of 343 147 [16]. All health facilities consisting of a government central hospital and four polyclinics, which are under the Chitungwiza City Health Department, offer general health services including TB treatment services. However, TB laboratory diagnosis through direct smear microscopy examination is only carried out at the government central hospital where all collected sputum smears in the district are sent. All health facilities offer HIV counselling and testing services and cotrimoxazole prophylaxis free of charge for confirmed HIV-positive patients as recommended by the Zimbabwe National TB Control Programme (NTP). In 2009 ART initiation and HIV treatment and care services in Chitungwiza were only offered at an ART initiating facility at the government central hospital where all HIV-positive patients in the district were referred.\n TB Diagnosis and Definitions Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or \"retreatment other\" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17].\nAfter TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted.\nAfter diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment.\nPatients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or \"retreatment other\" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17].\nAfter TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted.\nAfter diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment.\nAll public health facilities in Chitungwiza were selected for this study. Chitungwiza is a high density dormitory town which is situated about 20 km from Zimbabwe's capital city, Harare, and has a population of 343 147 [16]. All health facilities consisting of a government central hospital and four polyclinics, which are under the Chitungwiza City Health Department, offer general health services including TB treatment services. However, TB laboratory diagnosis through direct smear microscopy examination is only carried out at the government central hospital where all collected sputum smears in the district are sent. All health facilities offer HIV counselling and testing services and cotrimoxazole prophylaxis free of charge for confirmed HIV-positive patients as recommended by the Zimbabwe National TB Control Programme (NTP). In 2009 ART initiation and HIV treatment and care services in Chitungwiza were only offered at an ART initiating facility at the government central hospital where all HIV-positive patients in the district were referred.\n TB Diagnosis and Definitions Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or \"retreatment other\" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17].\nAfter TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted.\nAfter diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment.\nPatients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or \"retreatment other\" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17].\nAfter TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted.\nAfter diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment.\n Data collection Data were collected for all adult TB patients registered in the District TB register for Chitungwiza between 1 January 2009 and 31 December 2009 who had previously been on TB treatment for more than one month. An adult was defined as a person 18 years and older. Patient data were abstracted from the District TB registers between October 2010 and February 2011 using a data collection form, and variables that were collected included:- TB registration number, age, sex, type and category of recurrent TB, HIV status (HIV test done or not done, HIV-negative or HIV-positive), treatment outcome (treatment success, died, defaulter, transferred out and failure) and cotrimoxazole use. For patients registered in 2009, ART data were not available in the district TB registers, hence information about ART use in HIV-infected TB patients was obtained from the ART register at Chitungwiza Central hospital ART clinic were HIV-infected patients were referred for ART initiation in this district. TB registration numbers were collected as patient identifiers but however patient names had to be used to trace HIV-infected TB patients commenced on ART from the ART register.\nData were collected for all adult TB patients registered in the District TB register for Chitungwiza between 1 January 2009 and 31 December 2009 who had previously been on TB treatment for more than one month. An adult was defined as a person 18 years and older. Patient data were abstracted from the District TB registers between October 2010 and February 2011 using a data collection form, and variables that were collected included:- TB registration number, age, sex, type and category of recurrent TB, HIV status (HIV test done or not done, HIV-negative or HIV-positive), treatment outcome (treatment success, died, defaulter, transferred out and failure) and cotrimoxazole use. For patients registered in 2009, ART data were not available in the district TB registers, hence information about ART use in HIV-infected TB patients was obtained from the ART register at Chitungwiza Central hospital ART clinic were HIV-infected patients were referred for ART initiation in this district. TB registration numbers were collected as patient identifiers but however patient names had to be used to trace HIV-infected TB patients commenced on ART from the ART register.\n Statistical analysis Patient information was coded, entered and cleaned using Epidata version 3.1 statistical software. Data were then imported and analysed using Stata 10 (Stata Corporation, College Station, Texas). The Chi-squared test or alternatively the Fischer's Exact test was used to determine if there were associations between categorical variables. TB treatment outcomes were categorised into binary data with possible outcome events being treatment success, death, transfer-outs, defaulters and treatment failure. Poisson regression with error variance was then used to estimate multivariate-adjusted relative risks for associations between the various TB treatment outcomes and HIV status, type of recurrent TB, sex and age.\nThe modified Poisson regression model with the robust error variance option was used as it is a better approach for estimating relative risks for cohort studies compared to using logistic regression [21]. Assumptions of this statistical model were not violated as the model provides relative biases and percentages of confidence interval coverage which are reliable with a minimum sample size of 100 [21]. Relative risks for treatment failure, however, could not be calculated as there were no data in each subgroup to perform meaningful Poisson regression analysis. The 5% significance level was used in this study.\nPatient information was coded, entered and cleaned using Epidata version 3.1 statistical software. Data were then imported and analysed using Stata 10 (Stata Corporation, College Station, Texas). The Chi-squared test or alternatively the Fischer's Exact test was used to determine if there were associations between categorical variables. TB treatment outcomes were categorised into binary data with possible outcome events being treatment success, death, transfer-outs, defaulters and treatment failure. Poisson regression with error variance was then used to estimate multivariate-adjusted relative risks for associations between the various TB treatment outcomes and HIV status, type of recurrent TB, sex and age.\nThe modified Poisson regression model with the robust error variance option was used as it is a better approach for estimating relative risks for cohort studies compared to using logistic regression [21]. Assumptions of this statistical model were not violated as the model provides relative biases and percentages of confidence interval coverage which are reliable with a minimum sample size of 100 [21]. Relative risks for treatment failure, however, could not be calculated as there were no data in each subgroup to perform meaningful Poisson regression analysis. The 5% significance level was used in this study.\n Ethics Access to data in the TB registers was granted by the Ministry of Health and Child Welfare whilst ethics approval was obtained from the Medical Research Council of Zimbabwe and the Union Ethics Advisory Group in Paris, France.\nAccess to data in the TB registers was granted by the Ministry of Health and Child Welfare whilst ethics approval was obtained from the Medical Research Council of Zimbabwe and the Union Ethics Advisory Group in Paris, France.", "This was a retrospective record review of adult patients registered as \"recurrent TB\".", "All public health facilities in Chitungwiza were selected for this study. Chitungwiza is a high density dormitory town which is situated about 20 km from Zimbabwe's capital city, Harare, and has a population of 343 147 [16]. All health facilities consisting of a government central hospital and four polyclinics, which are under the Chitungwiza City Health Department, offer general health services including TB treatment services. However, TB laboratory diagnosis through direct smear microscopy examination is only carried out at the government central hospital where all collected sputum smears in the district are sent. All health facilities offer HIV counselling and testing services and cotrimoxazole prophylaxis free of charge for confirmed HIV-positive patients as recommended by the Zimbabwe National TB Control Programme (NTP). In 2009 ART initiation and HIV treatment and care services in Chitungwiza were only offered at an ART initiating facility at the government central hospital where all HIV-positive patients in the district were referred.\n TB Diagnosis and Definitions Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or \"retreatment other\" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17].\nAfter TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted.\nAfter diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment.\nPatients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or \"retreatment other\" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17].\nAfter TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted.\nAfter diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment.", "Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or \"retreatment other\" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17].\nAfter TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted.\nAfter diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment.", "Data were collected for all adult TB patients registered in the District TB register for Chitungwiza between 1 January 2009 and 31 December 2009 who had previously been on TB treatment for more than one month. An adult was defined as a person 18 years and older. Patient data were abstracted from the District TB registers between October 2010 and February 2011 using a data collection form, and variables that were collected included:- TB registration number, age, sex, type and category of recurrent TB, HIV status (HIV test done or not done, HIV-negative or HIV-positive), treatment outcome (treatment success, died, defaulter, transferred out and failure) and cotrimoxazole use. For patients registered in 2009, ART data were not available in the district TB registers, hence information about ART use in HIV-infected TB patients was obtained from the ART register at Chitungwiza Central hospital ART clinic were HIV-infected patients were referred for ART initiation in this district. TB registration numbers were collected as patient identifiers but however patient names had to be used to trace HIV-infected TB patients commenced on ART from the ART register.", "Patient information was coded, entered and cleaned using Epidata version 3.1 statistical software. Data were then imported and analysed using Stata 10 (Stata Corporation, College Station, Texas). The Chi-squared test or alternatively the Fischer's Exact test was used to determine if there were associations between categorical variables. TB treatment outcomes were categorised into binary data with possible outcome events being treatment success, death, transfer-outs, defaulters and treatment failure. Poisson regression with error variance was then used to estimate multivariate-adjusted relative risks for associations between the various TB treatment outcomes and HIV status, type of recurrent TB, sex and age.\nThe modified Poisson regression model with the robust error variance option was used as it is a better approach for estimating relative risks for cohort studies compared to using logistic regression [21]. Assumptions of this statistical model were not violated as the model provides relative biases and percentages of confidence interval coverage which are reliable with a minimum sample size of 100 [21]. Relative risks for treatment failure, however, could not be calculated as there were no data in each subgroup to perform meaningful Poisson regression analysis. The 5% significance level was used in this study.", "Access to data in the TB registers was granted by the Ministry of Health and Child Welfare whilst ethics approval was obtained from the Medical Research Council of Zimbabwe and the Union Ethics Advisory Group in Paris, France.", " Characteristics of patients with recurrent TB There were 225 registered patients with recurrent TB, of whom 135 (60%) were males. Results of HIV testing and documented referral of HIV-infected TB patients to ART are shown in Additional file 1: Figure S1. Just over 70% of patients were tested for HIV and of these patients 85% were HIV-positive, but only 15% were documented as being initiated on ART. There were no data in the registers about initiation of HIV-infected TB patients on CPT. Table 1 shows results of HIV testing and HIV serostatus in relation to type of TB, sex and age. Proportions of patients HIV tested were similar across all the different types of recurrent TB (p = 0.476). However, HIV-positivity had a borderline association with type of TB (p = 0.052) being highest among relapse cases (89%) compared to treatment after default patients (70%) - p = 0.037. Though more females were tested (75/90, 83%) compared to males (84/135, 62%) - p = 0.001, HIV-positivity was similar between the 2 groups. HIV testing was highest in the 45 to 54 year age group (87%) compared to other age groups but HIV-positivity was similar (p > 0.99) across the age groups.\nHIV testing and HIV serostatus in relation to TB type, sex and age\nTB tuberculosis, HIV human immunodeficiency syndrome\nThere were 225 registered patients with recurrent TB, of whom 135 (60%) were males. Results of HIV testing and documented referral of HIV-infected TB patients to ART are shown in Additional file 1: Figure S1. Just over 70% of patients were tested for HIV and of these patients 85% were HIV-positive, but only 15% were documented as being initiated on ART. There were no data in the registers about initiation of HIV-infected TB patients on CPT. Table 1 shows results of HIV testing and HIV serostatus in relation to type of TB, sex and age. Proportions of patients HIV tested were similar across all the different types of recurrent TB (p = 0.476). However, HIV-positivity had a borderline association with type of TB (p = 0.052) being highest among relapse cases (89%) compared to treatment after default patients (70%) - p = 0.037. Though more females were tested (75/90, 83%) compared to males (84/135, 62%) - p = 0.001, HIV-positivity was similar between the 2 groups. HIV testing was highest in the 45 to 54 year age group (87%) compared to other age groups but HIV-positivity was similar (p > 0.99) across the age groups.\nHIV testing and HIV serostatus in relation to TB type, sex and age\nTB tuberculosis, HIV human immunodeficiency syndrome\n TB treatment outcomes in relation to type of TB and HIV status Treatment outcomes for all patients with recurrent TB in relation to HIV status, type of TB, sex and age group are shown in Table 2. The treatment success rate was 73% for all TB patients, regardless of HIV status. Patients who transferred out (14%) constituted the majority of those with adverse treatment outcomes, with 15 (49%) being HIV-positive with undocumented ART status. For all patients, treatment success rates were similar regardless of HIV status (HIV test done or not done, HIV test positive or negative). Treatment success rates were also similar when stratified by sex and age group, with transfer outs being the most common adverse outcomes. TB treatment success rate was however highest in those with relapse TB (80%) compared to \"retreatment other\" TB patients (adjusted RR 0.81; 95% CI 0.68 - 0.97, p = 0.02). For all other adverse treatment outcomes, there were no significant multivariate-adjusted relative risks for associations with HIV status, type of TB, sex and age.\nTB treatment outcomes for all recurrent TB patients in relation to HIV status, type of TB, sex and age\na 2 patients with unrecorded HIV status and 3 with HIV-indeterminate results have been excluded; b 2 patients with unrecorded TB treatment outcomes have been excluded\nTB tuberculosis, ART antiretroviral treatment, HIV human immunodeficiency virus\nSignificant statistical comparisons using multivariate Poisson regression: * p < 0.05 compared with relapse TB\nTreatment outcomes for all patients with recurrent TB in relation to HIV status, type of TB, sex and age group are shown in Table 2. The treatment success rate was 73% for all TB patients, regardless of HIV status. Patients who transferred out (14%) constituted the majority of those with adverse treatment outcomes, with 15 (49%) being HIV-positive with undocumented ART status. For all patients, treatment success rates were similar regardless of HIV status (HIV test done or not done, HIV test positive or negative). Treatment success rates were also similar when stratified by sex and age group, with transfer outs being the most common adverse outcomes. TB treatment success rate was however highest in those with relapse TB (80%) compared to \"retreatment other\" TB patients (adjusted RR 0.81; 95% CI 0.68 - 0.97, p = 0.02). For all other adverse treatment outcomes, there were no significant multivariate-adjusted relative risks for associations with HIV status, type of TB, sex and age.\nTB treatment outcomes for all recurrent TB patients in relation to HIV status, type of TB, sex and age\na 2 patients with unrecorded HIV status and 3 with HIV-indeterminate results have been excluded; b 2 patients with unrecorded TB treatment outcomes have been excluded\nTB tuberculosis, ART antiretroviral treatment, HIV human immunodeficiency virus\nSignificant statistical comparisons using multivariate Poisson regression: * p < 0.05 compared with relapse TB", "There were 225 registered patients with recurrent TB, of whom 135 (60%) were males. Results of HIV testing and documented referral of HIV-infected TB patients to ART are shown in Additional file 1: Figure S1. Just over 70% of patients were tested for HIV and of these patients 85% were HIV-positive, but only 15% were documented as being initiated on ART. There were no data in the registers about initiation of HIV-infected TB patients on CPT. Table 1 shows results of HIV testing and HIV serostatus in relation to type of TB, sex and age. Proportions of patients HIV tested were similar across all the different types of recurrent TB (p = 0.476). However, HIV-positivity had a borderline association with type of TB (p = 0.052) being highest among relapse cases (89%) compared to treatment after default patients (70%) - p = 0.037. Though more females were tested (75/90, 83%) compared to males (84/135, 62%) - p = 0.001, HIV-positivity was similar between the 2 groups. HIV testing was highest in the 45 to 54 year age group (87%) compared to other age groups but HIV-positivity was similar (p > 0.99) across the age groups.\nHIV testing and HIV serostatus in relation to TB type, sex and age\nTB tuberculosis, HIV human immunodeficiency syndrome", "Treatment outcomes for all patients with recurrent TB in relation to HIV status, type of TB, sex and age group are shown in Table 2. The treatment success rate was 73% for all TB patients, regardless of HIV status. Patients who transferred out (14%) constituted the majority of those with adverse treatment outcomes, with 15 (49%) being HIV-positive with undocumented ART status. For all patients, treatment success rates were similar regardless of HIV status (HIV test done or not done, HIV test positive or negative). Treatment success rates were also similar when stratified by sex and age group, with transfer outs being the most common adverse outcomes. TB treatment success rate was however highest in those with relapse TB (80%) compared to \"retreatment other\" TB patients (adjusted RR 0.81; 95% CI 0.68 - 0.97, p = 0.02). For all other adverse treatment outcomes, there were no significant multivariate-adjusted relative risks for associations with HIV status, type of TB, sex and age.\nTB treatment outcomes for all recurrent TB patients in relation to HIV status, type of TB, sex and age\na 2 patients with unrecorded HIV status and 3 with HIV-indeterminate results have been excluded; b 2 patients with unrecorded TB treatment outcomes have been excluded\nTB tuberculosis, ART antiretroviral treatment, HIV human immunodeficiency virus\nSignificant statistical comparisons using multivariate Poisson regression: * p < 0.05 compared with relapse TB", "This study in Chitungwiza district in Zimbabwe showed a very high HIV prevalence in patients registered with recurrent TB, but we did not find significant differences in treatment outcomes in relation to HIV status, age or sex. However, relapse TB patients had better treatment success compared to \"retreatment other\" TB patients.\nThere are a number of important findings from our study. Although HIV testing should be offered to all registered patients with TB, nearly one third of those with recurrent TB had no HIV test done. We do not know the reasons for this, and this particular issue deserves further investigation. HIV testing uptake was much better in females than males, and better strategies of encouraging males to be HIV tested need to be found and assessed.\nThe majority of patients with recurrent TB were HIV-positive, yet only 15% were documented to be receiving ART. There may be several reasons for this that include poor referral and access to ART services by HIV-TB patients in Chitungwiza district or a poor recording and reporting system. For patients registered in 2009, the only way to find whether HIV-TB patients had accessed ART was to review the ART registers for Chitungwiza district and try to match the names of HIV-infected TB patients with those from the TB register - matching was not possible and this is therefore a limitation of the study. HIV-TB patients who had transferred out and started ART in another district would also not be identified by this method and therefore missed for the purposes of this study. Since 2010, HIV and TB activities have been integrated into TB registers, and there should now be better data on ART. There was also no record of CPT use in the TB register and this needs improvement as well.\nFinally, there was a high transfer out rate which adversely impacted on treatment success. A transfer out is defined as a patient who has been transferred to a health facility in another district and the treatment outcome results have not been reported back to the referring treatment unit who have the duty to report on these patients. This is an area where the Zimbabwe NTP needs to improve and ensure that centres who receive transfer-in patients report back the treatment outcomes to the facilities that initiated TB treatment.\nThis was a district based study where data were collected for TB patients under routine programme conditions. Hence, it may be difficult to ensure completeness, consistency and accuracy of data. Our study sample was small therefore it may have reduced the power of the study. We also were unable to adjust for the potential confounding effect of ART and TB treatment compliance and disease severity when assessing the association between TB treatment outcomes and HIV status as the data were unavailable.", "In conclusion, there are some important lessons to learn from the study. More attention should be paid to dissecting out the various categories of patients who are classified together under \"retreatment other\" to determine whether outcomes are similar or different. Relapse patients appear to do better, but the power of our sample may have been insufficient to detect this. Improving the follow up of outcomes in transferred out patients coupled with better recording practices of HIV care and treatment will allow better analysis of the relationship between TB treatment outcomes and HIV status. Transfer outs may also be lessened by integration of TB treatment services and ART initiation in all health facilities.\nThere needs to be a higher uptake of HIV testing in TB patients, especially in males. If those found HIV-positive are followed up and given CPT and early ART, this may improve overall treatment outcomes. There needs to be much better recording practices of HIV care and treatment, especially with regard to CPT and ART. Future research of a prospective nature with a larger cohort of recurrent TB patients may more clearly establish the impact of HIV testing on TB treatment outcomes under programmatic conditions.", "Figure S1. HIV testing status and known referral to antiretroviral treatment for recurrent tuberculosis patients in Chitungwiza district, Zimbabwe (Jan - Dec 2009).\nClick here for file" ]
[ null, "methods", null, null, null, null, null, null, null, null, null, null, null, "supplementary-material" ]
[ "HIV", "Recurrent tuberculosis", "Treatment outcomes", "Zimbabwe" ]
Background: The global burden of tuberculosis (TB) is highest in the Sub-Saharan Africa region [1] and this can be attributed to the high prevalence of human immunodeficiency virus infection (HIV) which is known to increase the risk of developing TB [2,3]. Tuberculosis cases are categorised as new and recurrent, the latter referring to patients who have been previously treated. Recurrence of TB can be attributed to relapse with a persistent Mycobacterium tuberculosis strain [4] or reinfection with a different strain [5,6]. Several studies have shown that HIV infection increases the rate of TB recurrence after successful completion of TB treatment in high HIV endemic areas, with recurrence often being due to a reinfection [6-9]. Despite evidence from clinical trial settings indicating that rates of recurrent TB can be reduced by administration of rifampicin-based treatment [10], there has been a steady increase in the number of tuberculosis (TB) case notifications that are categorised as recurrent or "retreatment". Since 1995, when the global DOTS framework was launched, up to 2008, the annual number of retreatment cases globally has increased from 59,240 to 775,403 [1]. In the WHO Africa region, the annual number of notified retreatment TB cases had increased from 15,133 in 1995 to 135,564 by the end of 2008, with 53,190 being relapse cases and 82,374 being registered in other retreatment categories [1]. In general, the treatment outcomes of retreatment cases are not as good as with new cases of TB as shown by global statistics for the 2008 cohorts, whereby only 72% of retreatment cases (and 71% from the Africa region) successfully completed treatment [1]. Zimbabwe is a country in Southern Africa with a population of 13 million and a large HIV-TB burden. Zimbabwe, which ranks 19th among the 22 Tuberculosis high burden countries, had a TB incidence rate of 762 cases per 100,000 population and an HIV co-infection prevalence of above 75% in 2008 [1]. There were 3631 (10%) notified retreatment cases out of a total of 36,650 cases registered in 2008, and these cases had a treatment success rate that was reported at 73% compared to 69% and 74% for new smear-positive TB cases and new-smear negative/extra-pulmonary TB cases respectively [1]. In 2008, the estimated number of retreatment TB cases with multi-drug resistant (MDR) TB (resistant to both isoniazid and rifampicin) was 8.3% (95% CI; 2.9-22). However, from 2005 to 2009, there were no notified retreatment cases that were actually tested for drug resistance [1], so this estimate cannot be confirmed. HIV-infected TB patients should now receive a package of cotrimoxazole preventive therapy (CPT) and antiretroviral therapy (ART), both of which can reduce case fatality and increase treatment success if administered early enough during anti-TB treatment [11-15]. It is therefore important that TB patients should undergo HIV testing as soon as TB is diagnosed, so that they can access these adjunctive therapies. Given the high HIV prevalence in Zimbabwe and the growing importance of recurrent TB, we determined in one district in Zimbabwe (i) the type of tuberculosis in adult patients registered with recurrent TB, ii) the proportion that were HIV tested with their results and (iii) the treatment outcomes of recurrent TB patients in relation to type of TB and HIV status. Methods: Study design This was a retrospective record review of adult patients registered as "recurrent TB". This was a retrospective record review of adult patients registered as "recurrent TB". Study setting All public health facilities in Chitungwiza were selected for this study. Chitungwiza is a high density dormitory town which is situated about 20 km from Zimbabwe's capital city, Harare, and has a population of 343 147 [16]. All health facilities consisting of a government central hospital and four polyclinics, which are under the Chitungwiza City Health Department, offer general health services including TB treatment services. However, TB laboratory diagnosis through direct smear microscopy examination is only carried out at the government central hospital where all collected sputum smears in the district are sent. All health facilities offer HIV counselling and testing services and cotrimoxazole prophylaxis free of charge for confirmed HIV-positive patients as recommended by the Zimbabwe National TB Control Programme (NTP). In 2009 ART initiation and HIV treatment and care services in Chitungwiza were only offered at an ART initiating facility at the government central hospital where all HIV-positive patients in the district were referred. TB Diagnosis and Definitions Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or "retreatment other" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17]. After TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted. After diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment. Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or "retreatment other" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17]. After TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted. After diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment. All public health facilities in Chitungwiza were selected for this study. Chitungwiza is a high density dormitory town which is situated about 20 km from Zimbabwe's capital city, Harare, and has a population of 343 147 [16]. All health facilities consisting of a government central hospital and four polyclinics, which are under the Chitungwiza City Health Department, offer general health services including TB treatment services. However, TB laboratory diagnosis through direct smear microscopy examination is only carried out at the government central hospital where all collected sputum smears in the district are sent. All health facilities offer HIV counselling and testing services and cotrimoxazole prophylaxis free of charge for confirmed HIV-positive patients as recommended by the Zimbabwe National TB Control Programme (NTP). In 2009 ART initiation and HIV treatment and care services in Chitungwiza were only offered at an ART initiating facility at the government central hospital where all HIV-positive patients in the district were referred. TB Diagnosis and Definitions Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or "retreatment other" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17]. After TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted. After diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment. Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or "retreatment other" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17]. After TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted. After diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment. Data collection Data were collected for all adult TB patients registered in the District TB register for Chitungwiza between 1 January 2009 and 31 December 2009 who had previously been on TB treatment for more than one month. An adult was defined as a person 18 years and older. Patient data were abstracted from the District TB registers between October 2010 and February 2011 using a data collection form, and variables that were collected included:- TB registration number, age, sex, type and category of recurrent TB, HIV status (HIV test done or not done, HIV-negative or HIV-positive), treatment outcome (treatment success, died, defaulter, transferred out and failure) and cotrimoxazole use. For patients registered in 2009, ART data were not available in the district TB registers, hence information about ART use in HIV-infected TB patients was obtained from the ART register at Chitungwiza Central hospital ART clinic were HIV-infected patients were referred for ART initiation in this district. TB registration numbers were collected as patient identifiers but however patient names had to be used to trace HIV-infected TB patients commenced on ART from the ART register. Data were collected for all adult TB patients registered in the District TB register for Chitungwiza between 1 January 2009 and 31 December 2009 who had previously been on TB treatment for more than one month. An adult was defined as a person 18 years and older. Patient data were abstracted from the District TB registers between October 2010 and February 2011 using a data collection form, and variables that were collected included:- TB registration number, age, sex, type and category of recurrent TB, HIV status (HIV test done or not done, HIV-negative or HIV-positive), treatment outcome (treatment success, died, defaulter, transferred out and failure) and cotrimoxazole use. For patients registered in 2009, ART data were not available in the district TB registers, hence information about ART use in HIV-infected TB patients was obtained from the ART register at Chitungwiza Central hospital ART clinic were HIV-infected patients were referred for ART initiation in this district. TB registration numbers were collected as patient identifiers but however patient names had to be used to trace HIV-infected TB patients commenced on ART from the ART register. Statistical analysis Patient information was coded, entered and cleaned using Epidata version 3.1 statistical software. Data were then imported and analysed using Stata 10 (Stata Corporation, College Station, Texas). The Chi-squared test or alternatively the Fischer's Exact test was used to determine if there were associations between categorical variables. TB treatment outcomes were categorised into binary data with possible outcome events being treatment success, death, transfer-outs, defaulters and treatment failure. Poisson regression with error variance was then used to estimate multivariate-adjusted relative risks for associations between the various TB treatment outcomes and HIV status, type of recurrent TB, sex and age. The modified Poisson regression model with the robust error variance option was used as it is a better approach for estimating relative risks for cohort studies compared to using logistic regression [21]. Assumptions of this statistical model were not violated as the model provides relative biases and percentages of confidence interval coverage which are reliable with a minimum sample size of 100 [21]. Relative risks for treatment failure, however, could not be calculated as there were no data in each subgroup to perform meaningful Poisson regression analysis. The 5% significance level was used in this study. Patient information was coded, entered and cleaned using Epidata version 3.1 statistical software. Data were then imported and analysed using Stata 10 (Stata Corporation, College Station, Texas). The Chi-squared test or alternatively the Fischer's Exact test was used to determine if there were associations between categorical variables. TB treatment outcomes were categorised into binary data with possible outcome events being treatment success, death, transfer-outs, defaulters and treatment failure. Poisson regression with error variance was then used to estimate multivariate-adjusted relative risks for associations between the various TB treatment outcomes and HIV status, type of recurrent TB, sex and age. The modified Poisson regression model with the robust error variance option was used as it is a better approach for estimating relative risks for cohort studies compared to using logistic regression [21]. Assumptions of this statistical model were not violated as the model provides relative biases and percentages of confidence interval coverage which are reliable with a minimum sample size of 100 [21]. Relative risks for treatment failure, however, could not be calculated as there were no data in each subgroup to perform meaningful Poisson regression analysis. The 5% significance level was used in this study. Ethics Access to data in the TB registers was granted by the Ministry of Health and Child Welfare whilst ethics approval was obtained from the Medical Research Council of Zimbabwe and the Union Ethics Advisory Group in Paris, France. Access to data in the TB registers was granted by the Ministry of Health and Child Welfare whilst ethics approval was obtained from the Medical Research Council of Zimbabwe and the Union Ethics Advisory Group in Paris, France. Study design: This was a retrospective record review of adult patients registered as "recurrent TB". Study setting: All public health facilities in Chitungwiza were selected for this study. Chitungwiza is a high density dormitory town which is situated about 20 km from Zimbabwe's capital city, Harare, and has a population of 343 147 [16]. All health facilities consisting of a government central hospital and four polyclinics, which are under the Chitungwiza City Health Department, offer general health services including TB treatment services. However, TB laboratory diagnosis through direct smear microscopy examination is only carried out at the government central hospital where all collected sputum smears in the district are sent. All health facilities offer HIV counselling and testing services and cotrimoxazole prophylaxis free of charge for confirmed HIV-positive patients as recommended by the Zimbabwe National TB Control Programme (NTP). In 2009 ART initiation and HIV treatment and care services in Chitungwiza were only offered at an ART initiating facility at the government central hospital where all HIV-positive patients in the district were referred. TB Diagnosis and Definitions Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or "retreatment other" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17]. After TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted. After diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment. Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or "retreatment other" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17]. After TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted. After diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment. TB Diagnosis and Definitions: Patients with recurrent TB will have been previously treated for TB and are classified according to standard WHO case definitions as either a relapse case (a patient who completed treatment and presents again with smear-positive PTB), treatment after failure (a patient who failed first line treatment), treatment after default (a patient who defaulted from treatment and presents again with smear-positive PTB) or "retreatment other" (all other recurrent TB cases) [2]. In the Zimbabwe NTP, TB is diagnosed based on an initial clinical diagnosis and then a confirmative laboratory diagnosis through direct smear microscopy of sputum smears [17]. Those with smears positive for acid-fast bacilli are diagnosed as smear-positive PTB, whilst those with negative smears are referred for a chest radiograph. If the latter is suggestive of TB, the patient is diagnosed as smear-negative PTB. Extra-pulmonary TB (EPTB) is mainly diagnosed on clinical grounds, along with circumstantial evidence and supporting specific diagnostic tests [17]. After TB diagnosis, health workers at each health facility complete notification forms and patient treatment cards for all recurrent TB patients indicating diagnosis, patient category, treatment regimen and monitoring indices. Patient information is then entered into the DOTS register at each health facility, which is then later compiled into the District TB register for Chitungwiza. During the period of the study, HIV testing was routinely offered to all TB patients, using the parallel testing algorithm [18]. However as from 2010 the serial testing algorithm was adopted. After diagnosis and registration, all recurrent TB patients are given an 8-month standard re-treatment regimen with first line drugs (2SHRZE/1HRZE/5HRE) regardless of HIV status [17]. In Chitungwiza, treatment was administered daily through health facility based DOT during the first 2 months of the intensive phase. Thereafter patients were given anti-TB drugs that ranged from weekly to monthly supplies until completion of the 8-month treatment period. Patients have their sputum specimens reviewed at 3 months, 5 months and at the end of treatment as recommended in the national guidelines [17]. In Zimbabwe, cotrimoxazole preventive therapy (CPT) is recommended for the whole duration of TB treatment [19] whilst ART is recommended between 2 and 8 weeks after commencing TB treatment [20]. National TB treatment outcomes are in line with WHO guidelines and are classified as treatment success (cured plus treatment completed), defaulted, died, transferred out or treatment failure. Cohort analyses of the registered TB patients are done to declare their TB treatment outcomes 12 months after the start of TB treatment. Data collection: Data were collected for all adult TB patients registered in the District TB register for Chitungwiza between 1 January 2009 and 31 December 2009 who had previously been on TB treatment for more than one month. An adult was defined as a person 18 years and older. Patient data were abstracted from the District TB registers between October 2010 and February 2011 using a data collection form, and variables that were collected included:- TB registration number, age, sex, type and category of recurrent TB, HIV status (HIV test done or not done, HIV-negative or HIV-positive), treatment outcome (treatment success, died, defaulter, transferred out and failure) and cotrimoxazole use. For patients registered in 2009, ART data were not available in the district TB registers, hence information about ART use in HIV-infected TB patients was obtained from the ART register at Chitungwiza Central hospital ART clinic were HIV-infected patients were referred for ART initiation in this district. TB registration numbers were collected as patient identifiers but however patient names had to be used to trace HIV-infected TB patients commenced on ART from the ART register. Statistical analysis: Patient information was coded, entered and cleaned using Epidata version 3.1 statistical software. Data were then imported and analysed using Stata 10 (Stata Corporation, College Station, Texas). The Chi-squared test or alternatively the Fischer's Exact test was used to determine if there were associations between categorical variables. TB treatment outcomes were categorised into binary data with possible outcome events being treatment success, death, transfer-outs, defaulters and treatment failure. Poisson regression with error variance was then used to estimate multivariate-adjusted relative risks for associations between the various TB treatment outcomes and HIV status, type of recurrent TB, sex and age. The modified Poisson regression model with the robust error variance option was used as it is a better approach for estimating relative risks for cohort studies compared to using logistic regression [21]. Assumptions of this statistical model were not violated as the model provides relative biases and percentages of confidence interval coverage which are reliable with a minimum sample size of 100 [21]. Relative risks for treatment failure, however, could not be calculated as there were no data in each subgroup to perform meaningful Poisson regression analysis. The 5% significance level was used in this study. Ethics: Access to data in the TB registers was granted by the Ministry of Health and Child Welfare whilst ethics approval was obtained from the Medical Research Council of Zimbabwe and the Union Ethics Advisory Group in Paris, France. Results: Characteristics of patients with recurrent TB There were 225 registered patients with recurrent TB, of whom 135 (60%) were males. Results of HIV testing and documented referral of HIV-infected TB patients to ART are shown in Additional file 1: Figure S1. Just over 70% of patients were tested for HIV and of these patients 85% were HIV-positive, but only 15% were documented as being initiated on ART. There were no data in the registers about initiation of HIV-infected TB patients on CPT. Table 1 shows results of HIV testing and HIV serostatus in relation to type of TB, sex and age. Proportions of patients HIV tested were similar across all the different types of recurrent TB (p = 0.476). However, HIV-positivity had a borderline association with type of TB (p = 0.052) being highest among relapse cases (89%) compared to treatment after default patients (70%) - p = 0.037. Though more females were tested (75/90, 83%) compared to males (84/135, 62%) - p = 0.001, HIV-positivity was similar between the 2 groups. HIV testing was highest in the 45 to 54 year age group (87%) compared to other age groups but HIV-positivity was similar (p > 0.99) across the age groups. HIV testing and HIV serostatus in relation to TB type, sex and age TB tuberculosis, HIV human immunodeficiency syndrome There were 225 registered patients with recurrent TB, of whom 135 (60%) were males. Results of HIV testing and documented referral of HIV-infected TB patients to ART are shown in Additional file 1: Figure S1. Just over 70% of patients were tested for HIV and of these patients 85% were HIV-positive, but only 15% were documented as being initiated on ART. There were no data in the registers about initiation of HIV-infected TB patients on CPT. Table 1 shows results of HIV testing and HIV serostatus in relation to type of TB, sex and age. Proportions of patients HIV tested were similar across all the different types of recurrent TB (p = 0.476). However, HIV-positivity had a borderline association with type of TB (p = 0.052) being highest among relapse cases (89%) compared to treatment after default patients (70%) - p = 0.037. Though more females were tested (75/90, 83%) compared to males (84/135, 62%) - p = 0.001, HIV-positivity was similar between the 2 groups. HIV testing was highest in the 45 to 54 year age group (87%) compared to other age groups but HIV-positivity was similar (p > 0.99) across the age groups. HIV testing and HIV serostatus in relation to TB type, sex and age TB tuberculosis, HIV human immunodeficiency syndrome TB treatment outcomes in relation to type of TB and HIV status Treatment outcomes for all patients with recurrent TB in relation to HIV status, type of TB, sex and age group are shown in Table 2. The treatment success rate was 73% for all TB patients, regardless of HIV status. Patients who transferred out (14%) constituted the majority of those with adverse treatment outcomes, with 15 (49%) being HIV-positive with undocumented ART status. For all patients, treatment success rates were similar regardless of HIV status (HIV test done or not done, HIV test positive or negative). Treatment success rates were also similar when stratified by sex and age group, with transfer outs being the most common adverse outcomes. TB treatment success rate was however highest in those with relapse TB (80%) compared to "retreatment other" TB patients (adjusted RR 0.81; 95% CI 0.68 - 0.97, p = 0.02). For all other adverse treatment outcomes, there were no significant multivariate-adjusted relative risks for associations with HIV status, type of TB, sex and age. TB treatment outcomes for all recurrent TB patients in relation to HIV status, type of TB, sex and age a 2 patients with unrecorded HIV status and 3 with HIV-indeterminate results have been excluded; b 2 patients with unrecorded TB treatment outcomes have been excluded TB tuberculosis, ART antiretroviral treatment, HIV human immunodeficiency virus Significant statistical comparisons using multivariate Poisson regression: * p < 0.05 compared with relapse TB Treatment outcomes for all patients with recurrent TB in relation to HIV status, type of TB, sex and age group are shown in Table 2. The treatment success rate was 73% for all TB patients, regardless of HIV status. Patients who transferred out (14%) constituted the majority of those with adverse treatment outcomes, with 15 (49%) being HIV-positive with undocumented ART status. For all patients, treatment success rates were similar regardless of HIV status (HIV test done or not done, HIV test positive or negative). Treatment success rates were also similar when stratified by sex and age group, with transfer outs being the most common adverse outcomes. TB treatment success rate was however highest in those with relapse TB (80%) compared to "retreatment other" TB patients (adjusted RR 0.81; 95% CI 0.68 - 0.97, p = 0.02). For all other adverse treatment outcomes, there were no significant multivariate-adjusted relative risks for associations with HIV status, type of TB, sex and age. TB treatment outcomes for all recurrent TB patients in relation to HIV status, type of TB, sex and age a 2 patients with unrecorded HIV status and 3 with HIV-indeterminate results have been excluded; b 2 patients with unrecorded TB treatment outcomes have been excluded TB tuberculosis, ART antiretroviral treatment, HIV human immunodeficiency virus Significant statistical comparisons using multivariate Poisson regression: * p < 0.05 compared with relapse TB Characteristics of patients with recurrent TB: There were 225 registered patients with recurrent TB, of whom 135 (60%) were males. Results of HIV testing and documented referral of HIV-infected TB patients to ART are shown in Additional file 1: Figure S1. Just over 70% of patients were tested for HIV and of these patients 85% were HIV-positive, but only 15% were documented as being initiated on ART. There were no data in the registers about initiation of HIV-infected TB patients on CPT. Table 1 shows results of HIV testing and HIV serostatus in relation to type of TB, sex and age. Proportions of patients HIV tested were similar across all the different types of recurrent TB (p = 0.476). However, HIV-positivity had a borderline association with type of TB (p = 0.052) being highest among relapse cases (89%) compared to treatment after default patients (70%) - p = 0.037. Though more females were tested (75/90, 83%) compared to males (84/135, 62%) - p = 0.001, HIV-positivity was similar between the 2 groups. HIV testing was highest in the 45 to 54 year age group (87%) compared to other age groups but HIV-positivity was similar (p > 0.99) across the age groups. HIV testing and HIV serostatus in relation to TB type, sex and age TB tuberculosis, HIV human immunodeficiency syndrome TB treatment outcomes in relation to type of TB and HIV status: Treatment outcomes for all patients with recurrent TB in relation to HIV status, type of TB, sex and age group are shown in Table 2. The treatment success rate was 73% for all TB patients, regardless of HIV status. Patients who transferred out (14%) constituted the majority of those with adverse treatment outcomes, with 15 (49%) being HIV-positive with undocumented ART status. For all patients, treatment success rates were similar regardless of HIV status (HIV test done or not done, HIV test positive or negative). Treatment success rates were also similar when stratified by sex and age group, with transfer outs being the most common adverse outcomes. TB treatment success rate was however highest in those with relapse TB (80%) compared to "retreatment other" TB patients (adjusted RR 0.81; 95% CI 0.68 - 0.97, p = 0.02). For all other adverse treatment outcomes, there were no significant multivariate-adjusted relative risks for associations with HIV status, type of TB, sex and age. TB treatment outcomes for all recurrent TB patients in relation to HIV status, type of TB, sex and age a 2 patients with unrecorded HIV status and 3 with HIV-indeterminate results have been excluded; b 2 patients with unrecorded TB treatment outcomes have been excluded TB tuberculosis, ART antiretroviral treatment, HIV human immunodeficiency virus Significant statistical comparisons using multivariate Poisson regression: * p < 0.05 compared with relapse TB Discussion: This study in Chitungwiza district in Zimbabwe showed a very high HIV prevalence in patients registered with recurrent TB, but we did not find significant differences in treatment outcomes in relation to HIV status, age or sex. However, relapse TB patients had better treatment success compared to "retreatment other" TB patients. There are a number of important findings from our study. Although HIV testing should be offered to all registered patients with TB, nearly one third of those with recurrent TB had no HIV test done. We do not know the reasons for this, and this particular issue deserves further investigation. HIV testing uptake was much better in females than males, and better strategies of encouraging males to be HIV tested need to be found and assessed. The majority of patients with recurrent TB were HIV-positive, yet only 15% were documented to be receiving ART. There may be several reasons for this that include poor referral and access to ART services by HIV-TB patients in Chitungwiza district or a poor recording and reporting system. For patients registered in 2009, the only way to find whether HIV-TB patients had accessed ART was to review the ART registers for Chitungwiza district and try to match the names of HIV-infected TB patients with those from the TB register - matching was not possible and this is therefore a limitation of the study. HIV-TB patients who had transferred out and started ART in another district would also not be identified by this method and therefore missed for the purposes of this study. Since 2010, HIV and TB activities have been integrated into TB registers, and there should now be better data on ART. There was also no record of CPT use in the TB register and this needs improvement as well. Finally, there was a high transfer out rate which adversely impacted on treatment success. A transfer out is defined as a patient who has been transferred to a health facility in another district and the treatment outcome results have not been reported back to the referring treatment unit who have the duty to report on these patients. This is an area where the Zimbabwe NTP needs to improve and ensure that centres who receive transfer-in patients report back the treatment outcomes to the facilities that initiated TB treatment. This was a district based study where data were collected for TB patients under routine programme conditions. Hence, it may be difficult to ensure completeness, consistency and accuracy of data. Our study sample was small therefore it may have reduced the power of the study. We also were unable to adjust for the potential confounding effect of ART and TB treatment compliance and disease severity when assessing the association between TB treatment outcomes and HIV status as the data were unavailable. Conclusions: In conclusion, there are some important lessons to learn from the study. More attention should be paid to dissecting out the various categories of patients who are classified together under "retreatment other" to determine whether outcomes are similar or different. Relapse patients appear to do better, but the power of our sample may have been insufficient to detect this. Improving the follow up of outcomes in transferred out patients coupled with better recording practices of HIV care and treatment will allow better analysis of the relationship between TB treatment outcomes and HIV status. Transfer outs may also be lessened by integration of TB treatment services and ART initiation in all health facilities. There needs to be a higher uptake of HIV testing in TB patients, especially in males. If those found HIV-positive are followed up and given CPT and early ART, this may improve overall treatment outcomes. There needs to be much better recording practices of HIV care and treatment, especially with regard to CPT and ART. Future research of a prospective nature with a larger cohort of recurrent TB patients may more clearly establish the impact of HIV testing on TB treatment outcomes under programmatic conditions. Supplementary Material: Figure S1. HIV testing status and known referral to antiretroviral treatment for recurrent tuberculosis patients in Chitungwiza district, Zimbabwe (Jan - Dec 2009). Click here for file
Background: Zimbabwe is a Southern African country with a high HIV-TB burden and is ranked 19th among the 22 Tuberculosis high burden countries worldwide. Recurrent TB is an important problem for TB control, yet there is limited information about treatment outcomes in relation to HIV status. This study was therefore conducted in Chitungwiza, a high density dormitory town outside the capital city, to determine in adults registered with recurrent TB how treatment outcomes were affected by type of recurrence and HIV status. Methods: Data were abstracted from the Chitungwiza district TB register for all 225 adult TB patients who had previously been on anti-TB treatment and who were registered as recurrent TB from January to December 2009. The Chi-square and Fischer's exact tests were used to establish associations between categorical variables. Multivariate relative risks for associations between the various TB treatment outcomes and HIV status, type of recurrent TB, sex and age were calculated using Poisson regression with robust error variance. Results: Of 225 registered TB patients with recurrent TB, 159 (71%) were HIV tested, 135 (85%) were HIV-positive and 20 (15%) were known to be on antiretroviral treatment (ART). More females were HIV-tested (75/90, 83%) compared with males (84/135, 62%). There were 103 (46%) with relapse TB, 32 (14%) with treatment after default, and 90 (40%) with "retreatment other" TB. There was one failure patient. HIV-testing and HIV-positivity were similar between patients with different types of TB. Overall, treatment success was 73% with transfer-outs at 14% being the most common adverse outcome. TB treatment outcomes did not differ by HIV status. However those with relapse TB had better treatment success compared to "retreatment other" TB patients, (adjusted RR 0.81; 95% CI 0.68 - 0.97, p = 0.02). Conclusions: No differences in treatment outcomes by HIV status were established in patients with recurrent TB. Important lessons from this study include increasing HIV testing uptake, a better understanding of what constitutes "retreatment other" TB, improved follow-up of true outcomes in patients who transfer-out and better recording practices related to HIV care and treatment especially for ART.
Background: The global burden of tuberculosis (TB) is highest in the Sub-Saharan Africa region [1] and this can be attributed to the high prevalence of human immunodeficiency virus infection (HIV) which is known to increase the risk of developing TB [2,3]. Tuberculosis cases are categorised as new and recurrent, the latter referring to patients who have been previously treated. Recurrence of TB can be attributed to relapse with a persistent Mycobacterium tuberculosis strain [4] or reinfection with a different strain [5,6]. Several studies have shown that HIV infection increases the rate of TB recurrence after successful completion of TB treatment in high HIV endemic areas, with recurrence often being due to a reinfection [6-9]. Despite evidence from clinical trial settings indicating that rates of recurrent TB can be reduced by administration of rifampicin-based treatment [10], there has been a steady increase in the number of tuberculosis (TB) case notifications that are categorised as recurrent or "retreatment". Since 1995, when the global DOTS framework was launched, up to 2008, the annual number of retreatment cases globally has increased from 59,240 to 775,403 [1]. In the WHO Africa region, the annual number of notified retreatment TB cases had increased from 15,133 in 1995 to 135,564 by the end of 2008, with 53,190 being relapse cases and 82,374 being registered in other retreatment categories [1]. In general, the treatment outcomes of retreatment cases are not as good as with new cases of TB as shown by global statistics for the 2008 cohorts, whereby only 72% of retreatment cases (and 71% from the Africa region) successfully completed treatment [1]. Zimbabwe is a country in Southern Africa with a population of 13 million and a large HIV-TB burden. Zimbabwe, which ranks 19th among the 22 Tuberculosis high burden countries, had a TB incidence rate of 762 cases per 100,000 population and an HIV co-infection prevalence of above 75% in 2008 [1]. There were 3631 (10%) notified retreatment cases out of a total of 36,650 cases registered in 2008, and these cases had a treatment success rate that was reported at 73% compared to 69% and 74% for new smear-positive TB cases and new-smear negative/extra-pulmonary TB cases respectively [1]. In 2008, the estimated number of retreatment TB cases with multi-drug resistant (MDR) TB (resistant to both isoniazid and rifampicin) was 8.3% (95% CI; 2.9-22). However, from 2005 to 2009, there were no notified retreatment cases that were actually tested for drug resistance [1], so this estimate cannot be confirmed. HIV-infected TB patients should now receive a package of cotrimoxazole preventive therapy (CPT) and antiretroviral therapy (ART), both of which can reduce case fatality and increase treatment success if administered early enough during anti-TB treatment [11-15]. It is therefore important that TB patients should undergo HIV testing as soon as TB is diagnosed, so that they can access these adjunctive therapies. Given the high HIV prevalence in Zimbabwe and the growing importance of recurrent TB, we determined in one district in Zimbabwe (i) the type of tuberculosis in adult patients registered with recurrent TB, ii) the proportion that were HIV tested with their results and (iii) the treatment outcomes of recurrent TB patients in relation to type of TB and HIV status. Conclusions: The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2458/12/124/prepub
Background: Zimbabwe is a Southern African country with a high HIV-TB burden and is ranked 19th among the 22 Tuberculosis high burden countries worldwide. Recurrent TB is an important problem for TB control, yet there is limited information about treatment outcomes in relation to HIV status. This study was therefore conducted in Chitungwiza, a high density dormitory town outside the capital city, to determine in adults registered with recurrent TB how treatment outcomes were affected by type of recurrence and HIV status. Methods: Data were abstracted from the Chitungwiza district TB register for all 225 adult TB patients who had previously been on anti-TB treatment and who were registered as recurrent TB from January to December 2009. The Chi-square and Fischer's exact tests were used to establish associations between categorical variables. Multivariate relative risks for associations between the various TB treatment outcomes and HIV status, type of recurrent TB, sex and age were calculated using Poisson regression with robust error variance. Results: Of 225 registered TB patients with recurrent TB, 159 (71%) were HIV tested, 135 (85%) were HIV-positive and 20 (15%) were known to be on antiretroviral treatment (ART). More females were HIV-tested (75/90, 83%) compared with males (84/135, 62%). There were 103 (46%) with relapse TB, 32 (14%) with treatment after default, and 90 (40%) with "retreatment other" TB. There was one failure patient. HIV-testing and HIV-positivity were similar between patients with different types of TB. Overall, treatment success was 73% with transfer-outs at 14% being the most common adverse outcome. TB treatment outcomes did not differ by HIV status. However those with relapse TB had better treatment success compared to "retreatment other" TB patients, (adjusted RR 0.81; 95% CI 0.68 - 0.97, p = 0.02). Conclusions: No differences in treatment outcomes by HIV status were established in patients with recurrent TB. Important lessons from this study include increasing HIV testing uptake, a better understanding of what constitutes "retreatment other" TB, improved follow-up of true outcomes in patients who transfer-out and better recording practices related to HIV care and treatment especially for ART.
8,766
447
[ 667, 16, 1181, 499, 214, 229, 40, 1136, 274, 282, 517, 216 ]
14
[ "tb", "treatment", "hiv", "patients", "tb treatment", "tb patients", "patient", "recurrent", "recurrent tb", "art" ]
[ "study hiv tb", "tuberculosis hiv", "tb hiv status", "2010 hiv tb", "recurrent tb hiv" ]
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[CONTENT] HIV | Recurrent tuberculosis | Treatment outcomes | Zimbabwe [SUMMARY]
[CONTENT] HIV | Recurrent tuberculosis | Treatment outcomes | Zimbabwe [SUMMARY]
null
[CONTENT] HIV | Recurrent tuberculosis | Treatment outcomes | Zimbabwe [SUMMARY]
[CONTENT] HIV | Recurrent tuberculosis | Treatment outcomes | Zimbabwe [SUMMARY]
[CONTENT] HIV | Recurrent tuberculosis | Treatment outcomes | Zimbabwe [SUMMARY]
[CONTENT] Adult | Antitubercular Agents | Coinfection | Female | HIV Seropositivity | Humans | Male | Medical Audit | Middle Aged | Outcome Assessment, Health Care | Recurrence | Retrospective Studies | Tuberculosis | Young Adult | Zimbabwe [SUMMARY]
[CONTENT] Adult | Antitubercular Agents | Coinfection | Female | HIV Seropositivity | Humans | Male | Medical Audit | Middle Aged | Outcome Assessment, Health Care | Recurrence | Retrospective Studies | Tuberculosis | Young Adult | Zimbabwe [SUMMARY]
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[CONTENT] Adult | Antitubercular Agents | Coinfection | Female | HIV Seropositivity | Humans | Male | Medical Audit | Middle Aged | Outcome Assessment, Health Care | Recurrence | Retrospective Studies | Tuberculosis | Young Adult | Zimbabwe [SUMMARY]
[CONTENT] Adult | Antitubercular Agents | Coinfection | Female | HIV Seropositivity | Humans | Male | Medical Audit | Middle Aged | Outcome Assessment, Health Care | Recurrence | Retrospective Studies | Tuberculosis | Young Adult | Zimbabwe [SUMMARY]
[CONTENT] Adult | Antitubercular Agents | Coinfection | Female | HIV Seropositivity | Humans | Male | Medical Audit | Middle Aged | Outcome Assessment, Health Care | Recurrence | Retrospective Studies | Tuberculosis | Young Adult | Zimbabwe [SUMMARY]
[CONTENT] study hiv tb | tuberculosis hiv | tb hiv status | 2010 hiv tb | recurrent tb hiv [SUMMARY]
[CONTENT] study hiv tb | tuberculosis hiv | tb hiv status | 2010 hiv tb | recurrent tb hiv [SUMMARY]
null
[CONTENT] study hiv tb | tuberculosis hiv | tb hiv status | 2010 hiv tb | recurrent tb hiv [SUMMARY]
[CONTENT] study hiv tb | tuberculosis hiv | tb hiv status | 2010 hiv tb | recurrent tb hiv [SUMMARY]
[CONTENT] study hiv tb | tuberculosis hiv | tb hiv status | 2010 hiv tb | recurrent tb hiv [SUMMARY]
[CONTENT] tb | treatment | hiv | patients | tb treatment | tb patients | patient | recurrent | recurrent tb | art [SUMMARY]
[CONTENT] tb | treatment | hiv | patients | tb treatment | tb patients | patient | recurrent | recurrent tb | art [SUMMARY]
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[CONTENT] tb | treatment | hiv | patients | tb treatment | tb patients | patient | recurrent | recurrent tb | art [SUMMARY]
[CONTENT] tb | treatment | hiv | patients | tb treatment | tb patients | patient | recurrent | recurrent tb | art [SUMMARY]
[CONTENT] tb | treatment | hiv | patients | tb treatment | tb patients | patient | recurrent | recurrent tb | art [SUMMARY]
[CONTENT] cases | tb | 2008 | retreatment cases | retreatment | africa | new | tuberculosis | hiv | treatment [SUMMARY]
[CONTENT] tb | treatment | patient | diagnosis | patients | health | smear | months | 17 | ptb [SUMMARY]
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[CONTENT] better | outcomes | treatment | hiv | better recording | practices hiv | care treatment | hiv care treatment | especially | practices [SUMMARY]
[CONTENT] tb | treatment | hiv | patients | tb patients | art | patient | recurrent | tb treatment | outcomes [SUMMARY]
[CONTENT] tb | treatment | hiv | patients | tb patients | art | patient | recurrent | tb treatment | outcomes [SUMMARY]
[CONTENT] Zimbabwe | Southern African | 19th | 22 ||| TB | TB ||| Chitungwiza | TB [SUMMARY]
[CONTENT] TB | 225 | TB | TB | January to December 2009 ||| Fischer ||| TB | TB | Poisson [SUMMARY]
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[CONTENT] TB ||| TB [SUMMARY]
[CONTENT] Zimbabwe | Southern African | 19th | 22 ||| TB | TB ||| Chitungwiza | TB ||| TB | 225 | TB | TB | January to December 2009 ||| Fischer ||| TB | TB | Poisson ||| 225 | TB | TB | 159 | 71% | 135 | 85% | 20 | 15% ||| 75/90 | 83% | 84/135 | 62% ||| 103 | 46% | TB | 32 | 14% | 90 ( | 40% | TB ||| one ||| TB ||| 73% | 14% ||| TB ||| TB | RR 0.81 | 95% | CI | 0.68 - 0.97 | 0.02 ||| TB ||| TB [SUMMARY]
[CONTENT] Zimbabwe | Southern African | 19th | 22 ||| TB | TB ||| Chitungwiza | TB ||| TB | 225 | TB | TB | January to December 2009 ||| Fischer ||| TB | TB | Poisson ||| 225 | TB | TB | 159 | 71% | 135 | 85% | 20 | 15% ||| 75/90 | 83% | 84/135 | 62% ||| 103 | 46% | TB | 32 | 14% | 90 ( | 40% | TB ||| one ||| TB ||| 73% | 14% ||| TB ||| TB | RR 0.81 | 95% | CI | 0.68 - 0.97 | 0.02 ||| TB ||| TB [SUMMARY]
A lactate dehydrogenase ELISA-based assay for the in vitro determination of Plasmodium berghei sensitivity to anti-malarial drugs.
23126583
Plasmodium berghei rodent malaria is a well-known model for the investigation of anti-malarial drug efficacy in vivo. However, the availability of drug in vitro assays in P. berghei is reduced when compared with the spectrum of techniques existing for Plasmodium falciparum. New alternatives to the current manual or automated methods described for P. berghei are attractive. The present study reports a new ELISA drug in vitro assay for P. berghei using two monoclonal antibodies against the parasite lactate dehydrogenase (pLDH).
BACKGROUND
This procedure includes a short-in vitro culture, the purification of schizonts and the further generation of synchronized mice infections. Early stages of the parasite are then incubated against different concentrations of anti-malarial drugs using micro-plates. The novelty of this procedure in P. berghei relies on the quantification of the drug activity derived from the amount of pLDH estimated by an ELISA assay using two monoclonal antibodies: 14C1 and 19G7. The IC₅₀s obtained through the ELISA assay were compared with those from the micro-test.
METHODS
The initial parameters of the synchronized samples used in the in vitro assays were a parasitaemia of 0.5% and haematocrit of 1%, with an incubation period of 22 hours at 36.5°C. pLDH detection using a 14C1 coating at 10 μg/ml and 19G7 at 2.5 × 10⁻³ μg/ml provided good readouts of optical densities with low background in negative controls and specific detection levels for all parasite stages. IC₅₀s values derived from the ELISA assay for artesunate, chloroquine, amodiaquine and quinine were: 15, 7, 2, and 144 nM, respectively. When artesunate and chloroquine IC₅₀s were evaluated using the micro-test similar values were obtained.
RESULTS
This ELISA-based in vitro drug assay is easy to implement, fast, and avoids the use radioisotopes or expensive equipment. The utility of this simple assay for screening anti-malarial drug activity against P. berghei in vitro is demonstrated.
CONCLUSION
[ "Animals", "Antibodies, Monoclonal", "Antibodies, Protozoan", "Antimalarials", "Drug Evaluation, Preclinical", "Drug Resistance", "Enzyme-Linked Immunosorbent Assay", "Green Fluorescent Proteins", "L-Lactate Dehydrogenase", "Malaria", "Mice", "Mice, Inbred C57BL", "Parasitemia", "Plasmodium berghei", "Recombinant Proteins" ]
3538577
Background
Murine malaria models have contributed to the understanding of the biology and pathology of human malarias. Although the immune system and drug pharmacokinetics between humans and rodents may be different, the drug sensitivity profile between these Plasmodium species is mostly shared. Drug efficacy studies in small rodents have been mainly performed in vivo using different strains of Plasmodium berghei and the classical four-day suppressive test [1]. The use and development of in vitro techniques for anti-malarial drug-screening in P. berghei has been less prominent, especially when compared with the variety of in vitro assays described for Plasmodium falciparum. In vitro assays are complementary to in vivo tests, and in P. berghei some advantages of the in vitro assays include: i) the measurement of intrinsic anti-malarial activity, excluding confounding factors from the host such as the immune system; ii) the evaluation of larger number of compounds in one experiment with possible prediction of an in vivo outcome, and iii) the identification of discrepancies in the sensitivity profiles of P. berghei and P. falciparum. Different drug in vitro assays have been adapted and developed for P. berghei. These assays include: the WHO schizont maturation test (micro-test) [2], the radioisotopic assay [3] and the measurement of parasite nucleic acids using fluorescent dyes and flow cytometry [4,5]. More recently, a luminescence assay using a transgenic line of P. berghei expressing luciferase was also developed [6]. These techniques can be limited by labour-intensive steps, disposal of radioactive waste and high costs. Early studies of the metabolic pathways of Plasmodium led to the identification of enzymes structurally different from the host, such as lactate dehydrogenase (LDH) [7]. Plasmodium parasites require intense LDH activity to ensure the high metabolism of carbohydrates during the complex intraerythrocytic cycle [8]. These singularities pointed to parasite LDH (pLDH) detection as a good target for the development of colorimetric [9] and ELISA [10] based drug in vitro assays for P. falciparum. The aim of this study was to develop an in vitro enzyme-linked immunosorbent drug assay for P. berghei, using two monoclonal antibodies against pLDH and the semi-automated micro-dilution technique [11]. This in vitro susceptibility test starts with P. berghei mouse infections followed by a short in vitro culture and a synchronization procedure to generate the P. berghei samples to be evaluated in the drug in vitro assays. The measurement of drug activity is derived from the relative amount of P. berghei LDH (estimated by ELISA) as a function of the drug concentration.
Methods
Short-term parasite in vitro culture and synchronization 13-week old C57BL/6 (The Jackson Laboratory, Sacramento, CA) mice were infected intraperitoneally (IP) with 1 × 103P. berghei ANKA (PbA) or P. berghei ANKA expressing GFP (PbAGFP) [12] (a donation from the Malaria Research and Reference Reagent Resource Center (MR4), Manassas, VA; deposited by MF Wiser and M Hollingdale and CJ Janse and AP Waters, respectively; MR4 number: MRA-671 and MRA-865). At a parasitaemia of 2 - 3%, mice were anesthetized (ketamine, 150 mg/kg and xylazine, 10 mg/kg) and 0.5 ml of blood was collected by retro-orbital puncture, after which mice were euthanized by an IP injection of Euthasol (100mg/kg). Animal handling and care followed the NIH Guide for Care and Use of Laboratory Animals. All protocols were approved by the La Jolla Bioengineering Institutional Animal Care and Use Committee. Infected heparinized blood samples were washed twice in phosphate-buffered saline (PBS) solution and cultured in media RPMI 1640 (Gibco, Life Technologies) supplemented with 20% inactivated fetal bovine serum (complete RMPI) following the procedures described by Janse and Waters [13]. Cultures were flushed with a standard gas mixture of 5% O2, 5% CO2, 90% N2 and incubated for 22 hours at 36.5°C. Purification of fully mature schizonts from uninfected red blood cells or younger parasites’ stages was performed following the protocol described by Janse et al.[14] with some modifications. Briefly, 25 ml of the overnight parasite culture was transferred to a 50 ml falcon tube (Becton, Dickinson) and 8 ml of 55% Nycodenz (v/v, PBS) was added to the bottom of the tube. Tubes were centrifuged at 450 g in a swing-out rotor for 30 minutes without brake. After centrifugation, the visible suspended brown ring containing mostly mature schizonts was carefully collected into another falcon tube. Schizonts were washed in complete RPMI media, resuspended in 100 μl of PBS and injected intravenously (IV) into the pre-warmed tails of 13-week old C57BL/6 mice. Between 48 to 72 hours post-infection, an optimal synchronized parasitaemia of 1 to 3% was reached. Mice were anesthetized as previously described and parasite blood samples were collected. To adjust the parasitaemia and haematocrit for the in vitro assay samples, a pool of blood from uninfected mice was also gathered. Mice parasitaemia and synchronized infections of P. berghei were analysed by flow cytometry and Hemacolor (Merck) stained thin blood smears. Tail blood samples from infected and uninfected mice were diluted 100-times in PBS, and subsequently acquired in a FACSCalibur cytometer (Becton Dickinson). Samples were excited using a 488 nm argon laser and GFP emission was detected with a 530/30 nm band pass filter. FCS Express (De novo Software) was used for all flow cytometry analyses by first gating for intact erythrocytes by side scatter and forward scatter parameters, and subsequently determining the proportion of GFP positive cells. The fluorescence intensity and the forward-scattered light of at least 10,000 cells per sample were measured. A negative control sample from an uninfected mouse was tested in parallel to define the threshold of positivity for the parasitaemia. 13-week old C57BL/6 (The Jackson Laboratory, Sacramento, CA) mice were infected intraperitoneally (IP) with 1 × 103P. berghei ANKA (PbA) or P. berghei ANKA expressing GFP (PbAGFP) [12] (a donation from the Malaria Research and Reference Reagent Resource Center (MR4), Manassas, VA; deposited by MF Wiser and M Hollingdale and CJ Janse and AP Waters, respectively; MR4 number: MRA-671 and MRA-865). At a parasitaemia of 2 - 3%, mice were anesthetized (ketamine, 150 mg/kg and xylazine, 10 mg/kg) and 0.5 ml of blood was collected by retro-orbital puncture, after which mice were euthanized by an IP injection of Euthasol (100mg/kg). Animal handling and care followed the NIH Guide for Care and Use of Laboratory Animals. All protocols were approved by the La Jolla Bioengineering Institutional Animal Care and Use Committee. Infected heparinized blood samples were washed twice in phosphate-buffered saline (PBS) solution and cultured in media RPMI 1640 (Gibco, Life Technologies) supplemented with 20% inactivated fetal bovine serum (complete RMPI) following the procedures described by Janse and Waters [13]. Cultures were flushed with a standard gas mixture of 5% O2, 5% CO2, 90% N2 and incubated for 22 hours at 36.5°C. Purification of fully mature schizonts from uninfected red blood cells or younger parasites’ stages was performed following the protocol described by Janse et al.[14] with some modifications. Briefly, 25 ml of the overnight parasite culture was transferred to a 50 ml falcon tube (Becton, Dickinson) and 8 ml of 55% Nycodenz (v/v, PBS) was added to the bottom of the tube. Tubes were centrifuged at 450 g in a swing-out rotor for 30 minutes without brake. After centrifugation, the visible suspended brown ring containing mostly mature schizonts was carefully collected into another falcon tube. Schizonts were washed in complete RPMI media, resuspended in 100 μl of PBS and injected intravenously (IV) into the pre-warmed tails of 13-week old C57BL/6 mice. Between 48 to 72 hours post-infection, an optimal synchronized parasitaemia of 1 to 3% was reached. Mice were anesthetized as previously described and parasite blood samples were collected. To adjust the parasitaemia and haematocrit for the in vitro assay samples, a pool of blood from uninfected mice was also gathered. Mice parasitaemia and synchronized infections of P. berghei were analysed by flow cytometry and Hemacolor (Merck) stained thin blood smears. Tail blood samples from infected and uninfected mice were diluted 100-times in PBS, and subsequently acquired in a FACSCalibur cytometer (Becton Dickinson). Samples were excited using a 488 nm argon laser and GFP emission was detected with a 530/30 nm band pass filter. FCS Express (De novo Software) was used for all flow cytometry analyses by first gating for intact erythrocytes by side scatter and forward scatter parameters, and subsequently determining the proportion of GFP positive cells. The fluorescence intensity and the forward-scattered light of at least 10,000 cells per sample were measured. A negative control sample from an uninfected mouse was tested in parallel to define the threshold of positivity for the parasitaemia. Drug in vitro assays The anti-malarial drugs evaluated in the in vitro assays were: chloroquine diphosphate salt, amodiaquine dihydrochloride dihydrate, quinine hydrochloride dihydrate and artesunate (all from Sigma-Aldrich). The drugs were diluted in ethanol 70% (v/v, ultrapure water) with the exception of chloroquine that was diluted in ultrapure water. The stock solutions of each drug were used to prepare two-fold dilution series in complete RPMI medium. The dilutions ranging from: 3.8-240 nM chloroquine, 1–65 nM amodiaquine, 50–3150 nM quinine-HCL and 0.6-40 nM artesunate were distributed (25 μl per well) in 96-well plates (Corning, Life Science) where the drug in vitro assays were performed. Uninfected and infected red blood cells containing primarily early trophozoites were washed twice in PBS prior to use in the in vitro assays. Infected red blood cells were diluted in complete RPMI medium to a final parasitaemia of 0.5% and 1% of haematocrit and dispensed (225 μl per well) into the pre-dose drug plates. In each experiment, wells with uninfected and infected red blood cells without drug were included as negative and positive controls of growth, respectively. In addition, aliquots from the positive controls were frozen immediately in order to assess pLDH activity at time zero of incubation. The drug in vitro plates were incubated in gas atmosphere of 5% CO2, 5% O2, and 90% N2 at 36.5°C for 22 to 24 hours. At the end of the incubation period, thin blood smears of positive controls were performed to confirm the presence of mature schizonts (with 8 to 16 merozoites). The drug concentrations that inhibited 50% of parasite growth (measured by optical densities – ODs in the ELISA assays) compared to the control samples without drug (IC50s) were calculated using HN-NonLin [15]. Drug-response curves were plotted in GraphPad Prism. Data were expressed as mean ± standard deviation (SD), unless otherwise indicated. The anti-malarial drugs evaluated in the in vitro assays were: chloroquine diphosphate salt, amodiaquine dihydrochloride dihydrate, quinine hydrochloride dihydrate and artesunate (all from Sigma-Aldrich). The drugs were diluted in ethanol 70% (v/v, ultrapure water) with the exception of chloroquine that was diluted in ultrapure water. The stock solutions of each drug were used to prepare two-fold dilution series in complete RPMI medium. The dilutions ranging from: 3.8-240 nM chloroquine, 1–65 nM amodiaquine, 50–3150 nM quinine-HCL and 0.6-40 nM artesunate were distributed (25 μl per well) in 96-well plates (Corning, Life Science) where the drug in vitro assays were performed. Uninfected and infected red blood cells containing primarily early trophozoites were washed twice in PBS prior to use in the in vitro assays. Infected red blood cells were diluted in complete RPMI medium to a final parasitaemia of 0.5% and 1% of haematocrit and dispensed (225 μl per well) into the pre-dose drug plates. In each experiment, wells with uninfected and infected red blood cells without drug were included as negative and positive controls of growth, respectively. In addition, aliquots from the positive controls were frozen immediately in order to assess pLDH activity at time zero of incubation. The drug in vitro plates were incubated in gas atmosphere of 5% CO2, 5% O2, and 90% N2 at 36.5°C for 22 to 24 hours. At the end of the incubation period, thin blood smears of positive controls were performed to confirm the presence of mature schizonts (with 8 to 16 merozoites). The drug concentrations that inhibited 50% of parasite growth (measured by optical densities – ODs in the ELISA assays) compared to the control samples without drug (IC50s) were calculated using HN-NonLin [15]. Drug-response curves were plotted in GraphPad Prism. Data were expressed as mean ± standard deviation (SD), unless otherwise indicated. Enzyme-linked immunosorbent assay Monoclonal antibodies 14C1 (a kind donation of Dr. Michael Makler) and 19G7 (purchased from Flow Inc., Portland, OR) developed for pLDH-based malaria diagnostic tests [16] were used as capture and detection antibodies, respectively (these monoclonal antibodies are now owned by AccessBio, Somerset, NJ). Biotinylation of 19G7 (10 μg/ml) was carried out using the EZ-Link Sulfo-NHS-LC-Biotinylation Kit (Pierce Biotechnology) following the standard protocols provided by the manufacturer. The 2-(4-hydroxyazobenzene) benzoic acid (HABA) assay also included in the EZ-Link Sulfo-NHS-LC-Biotinylation Kit was used for measuring the level of biotin incorporation per immunoglobulin molecule. The ELISA technique described above was standardized from the DELI assay developed for P. falciparum with modifications [10]. Nunc MaxiSorp flat-bottom 96 well plates (Gibco) were coated with 100 μl of capture antibody 14C1 (10 μg/ml) and incubated at 4°C for 24 hours. Plates were washed with phosphate-buffered saline (PBS) 0.025% (v/v) Tween 20 (PBS/Tween) and blocked with 1% (w/v) Bovine Serum Albumin Fraction V (Roche) (PBS/BSA). After 24 hours of incubation at 4°C, the plates were washed, covered with plastic seals, refrigerated and used within a month. Once the drug in vitro assays were performed, the plates were frozen/thawed three-times and the haemolyzed samples were homogenized. 100 μl of haemolyzed samples, undiluted and diluted (1:10, 1:50 and 1:100 in PBS), was transferred into the coated ELISA plates and incubated for 1 hour at 37°C. The plates were washed and 100 μl of a 1:4,000 dilution (2.5 × 10-3 μg/ml) of 19G7 biotinylated antibody was added. After 1 hour of incubation at 37°C, plates were washed and incubated for 30 minutes with 100 μl of a 1:10,000 dilution (0.125 μg/ml) of peroxidase-conjugated streptavidin preparation (1.25 mg/ml) (Pierce ). After the last wash, 100 μl of TMB (3,3´,5,5´-tetramentylbenzidine) (1-Step Ultra TMB-ELISA, Thermo Scientific) was added to the plate and incubated for 20 minutes at room temperature. The reaction was stopped by adding 100 μl of 2 M H2SO4 solution, and read at 450 nm in a μQuant micro-plate spectrophotometer (Bio-Tek Instruments). Monoclonal antibodies 14C1 (a kind donation of Dr. Michael Makler) and 19G7 (purchased from Flow Inc., Portland, OR) developed for pLDH-based malaria diagnostic tests [16] were used as capture and detection antibodies, respectively (these monoclonal antibodies are now owned by AccessBio, Somerset, NJ). Biotinylation of 19G7 (10 μg/ml) was carried out using the EZ-Link Sulfo-NHS-LC-Biotinylation Kit (Pierce Biotechnology) following the standard protocols provided by the manufacturer. The 2-(4-hydroxyazobenzene) benzoic acid (HABA) assay also included in the EZ-Link Sulfo-NHS-LC-Biotinylation Kit was used for measuring the level of biotin incorporation per immunoglobulin molecule. The ELISA technique described above was standardized from the DELI assay developed for P. falciparum with modifications [10]. Nunc MaxiSorp flat-bottom 96 well plates (Gibco) were coated with 100 μl of capture antibody 14C1 (10 μg/ml) and incubated at 4°C for 24 hours. Plates were washed with phosphate-buffered saline (PBS) 0.025% (v/v) Tween 20 (PBS/Tween) and blocked with 1% (w/v) Bovine Serum Albumin Fraction V (Roche) (PBS/BSA). After 24 hours of incubation at 4°C, the plates were washed, covered with plastic seals, refrigerated and used within a month. Once the drug in vitro assays were performed, the plates were frozen/thawed three-times and the haemolyzed samples were homogenized. 100 μl of haemolyzed samples, undiluted and diluted (1:10, 1:50 and 1:100 in PBS), was transferred into the coated ELISA plates and incubated for 1 hour at 37°C. The plates were washed and 100 μl of a 1:4,000 dilution (2.5 × 10-3 μg/ml) of 19G7 biotinylated antibody was added. After 1 hour of incubation at 37°C, plates were washed and incubated for 30 minutes with 100 μl of a 1:10,000 dilution (0.125 μg/ml) of peroxidase-conjugated streptavidin preparation (1.25 mg/ml) (Pierce ). After the last wash, 100 μl of TMB (3,3´,5,5´-tetramentylbenzidine) (1-Step Ultra TMB-ELISA, Thermo Scientific) was added to the plate and incubated for 20 minutes at room temperature. The reaction was stopped by adding 100 μl of 2 M H2SO4 solution, and read at 450 nm in a μQuant micro-plate spectrophotometer (Bio-Tek Instruments).
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null
Conclusion
In this study, the development of an ELISA-based in vitro drug assay for P. berghei is reported. This technique is easy to implement, fast (less than 3 hours), safe (avoids the use of radioisotopes) and economical (not requiring expensive equipment such as beta counters, flow cytometers or luminometers). Although the development of synchronized infections in mice is time consuming, this is a straightforward procedure which can be easily implemented in laboratories working with murine models. This in vitro assay represents a robust and useful alternative for the screening of new anti-malarial compounds in the mouse model of P. berghei.
[ "Background", "Short-term parasite in vitro culture and synchronization", "Drug in vitro assays", "Enzyme-linked immunosorbent assay", "Results and discussion", "Abbreviations", "Competing interests", "Authors’ contributions" ]
[ "Murine malaria models have contributed to the understanding of the biology and pathology of human malarias. Although the immune system and drug pharmacokinetics between humans and rodents may be different, the drug sensitivity profile between these Plasmodium species is mostly shared. Drug efficacy studies in small rodents have been mainly performed in vivo using different strains of Plasmodium berghei and the classical four-day suppressive test\n[1]. The use and development of in vitro techniques for anti-malarial drug-screening in P. berghei has been less prominent, especially when compared with the variety of in vitro assays described for Plasmodium falciparum. In vitro assays are complementary to in vivo tests, and in P. berghei some advantages of the in vitro assays include: i) the measurement of intrinsic anti-malarial activity, excluding confounding factors from the host such as the immune system; ii) the evaluation of larger number of compounds in one experiment with possible prediction of an in vivo outcome, and iii) the identification of discrepancies in the sensitivity profiles of P. berghei and P. falciparum.\nDifferent drug in vitro assays have been adapted and developed for P. berghei. These assays include: the WHO schizont maturation test (micro-test)\n[2], the radioisotopic assay\n[3] and the measurement of parasite nucleic acids using fluorescent dyes and flow cytometry\n[4,5]. More recently, a luminescence assay using a transgenic line of P. berghei expressing luciferase was also developed\n[6]. These techniques can be limited by labour-intensive steps, disposal of radioactive waste and high costs.\nEarly studies of the metabolic pathways of Plasmodium led to the identification of enzymes structurally different from the host, such as lactate dehydrogenase (LDH)\n[7]. Plasmodium parasites require intense LDH activity to ensure the high metabolism of carbohydrates during the complex intraerythrocytic cycle\n[8]. These singularities pointed to parasite LDH (pLDH) detection as a good target for the development of colorimetric\n[9] and ELISA\n[10] based drug in vitro assays for P. falciparum. The aim of this study was to develop an in vitro enzyme-linked immunosorbent drug assay for P. berghei, using two monoclonal antibodies against pLDH and the semi-automated micro-dilution technique\n[11]. This in vitro susceptibility test starts with P. berghei mouse infections followed by a short in vitro culture and a synchronization procedure to generate the P. berghei samples to be evaluated in the drug in vitro assays. The measurement of drug activity is derived from the relative amount of P. berghei LDH (estimated by ELISA) as a function of the drug concentration.", "13-week old C57BL/6 (The Jackson Laboratory, Sacramento, CA) mice were infected intraperitoneally (IP) with 1 × 103P. berghei ANKA (PbA) or P. berghei ANKA expressing GFP (PbAGFP)\n[12] (a donation from the Malaria Research and Reference Reagent Resource Center (MR4), Manassas, VA; deposited by MF Wiser and M Hollingdale and CJ Janse and AP Waters, respectively; MR4 number: MRA-671 and MRA-865). At a parasitaemia of 2 - 3%, mice were anesthetized (ketamine, 150 mg/kg and xylazine, 10 mg/kg) and 0.5 ml of blood was collected by retro-orbital puncture, after which mice were euthanized by an IP injection of Euthasol (100mg/kg). Animal handling and care followed the NIH Guide for Care and Use of Laboratory Animals. All protocols were approved by the La Jolla Bioengineering Institutional Animal Care and Use Committee.\nInfected heparinized blood samples were washed twice in phosphate-buffered saline (PBS) solution and cultured in media RPMI 1640 (Gibco, Life Technologies) supplemented with 20% inactivated fetal bovine serum (complete RMPI) following the procedures described by Janse and Waters\n[13]. Cultures were flushed with a standard gas mixture of 5% O2, 5% CO2, 90% N2 and incubated for 22 hours at 36.5°C. Purification of fully mature schizonts from uninfected red blood cells or younger parasites’ stages was performed following the protocol described by Janse et al.[14] with some modifications. Briefly, 25 ml of the overnight parasite culture was transferred to a 50 ml falcon tube (Becton, Dickinson) and 8 ml of 55% Nycodenz (v/v, PBS) was added to the bottom of the tube. Tubes were centrifuged at 450 g in a swing-out rotor for 30 minutes without brake. After centrifugation, the visible suspended brown ring containing mostly mature schizonts was carefully collected into another falcon tube. Schizonts were washed in complete RPMI media, resuspended in 100 μl of PBS and injected intravenously (IV) into the pre-warmed tails of 13-week old C57BL/6 mice. Between 48 to 72 hours post-infection, an optimal synchronized parasitaemia of 1 to 3% was reached. Mice were anesthetized as previously described and parasite blood samples were collected. To adjust the parasitaemia and haematocrit for the in vitro assay samples, a pool of blood from uninfected mice was also gathered.\nMice parasitaemia and synchronized infections of P. berghei were analysed by flow cytometry and Hemacolor (Merck) stained thin blood smears. Tail blood samples from infected and uninfected mice were diluted 100-times in PBS, and subsequently acquired in a FACSCalibur cytometer (Becton Dickinson). Samples were excited using a 488 nm argon laser and GFP emission was detected with a 530/30 nm band pass filter. FCS Express (De novo Software) was used for all flow cytometry analyses by first gating for intact erythrocytes by side scatter and forward scatter parameters, and subsequently determining the proportion of GFP positive cells. The fluorescence intensity and the forward-scattered light of at least 10,000 cells per sample were measured. A negative control sample from an uninfected mouse was tested in parallel to define the threshold of positivity for the parasitaemia.", "The anti-malarial drugs evaluated in the in vitro assays were: chloroquine diphosphate salt, amodiaquine dihydrochloride dihydrate, quinine hydrochloride dihydrate and artesunate (all from Sigma-Aldrich). The drugs were diluted in ethanol 70% (v/v, ultrapure water) with the exception of chloroquine that was diluted in ultrapure water. The stock solutions of each drug were used to prepare two-fold dilution series in complete RPMI medium. The dilutions ranging from: 3.8-240 nM chloroquine, 1–65 nM amodiaquine, 50–3150 nM quinine-HCL and 0.6-40 nM artesunate were distributed (25 μl per well) in 96-well plates (Corning, Life Science) where the drug in vitro assays were performed.\nUninfected and infected red blood cells containing primarily early trophozoites were washed twice in PBS prior to use in the in vitro assays. Infected red blood cells were diluted in complete RPMI medium to a final parasitaemia of 0.5% and 1% of haematocrit and dispensed (225 μl per well) into the pre-dose drug plates. In each experiment, wells with uninfected and infected red blood cells without drug were included as negative and positive controls of growth, respectively. In addition, aliquots from the positive controls were frozen immediately in order to assess pLDH activity at time zero of incubation. The drug in vitro plates were incubated in gas atmosphere of 5% CO2, 5% O2, and 90% N2 at 36.5°C for 22 to 24 hours. At the end of the incubation period, thin blood smears of positive controls were performed to confirm the presence of mature schizonts (with 8 to 16 merozoites).\nThe drug concentrations that inhibited 50% of parasite growth (measured by optical densities – ODs in the ELISA assays) compared to the control samples without drug (IC50s) were calculated using HN-NonLin\n[15]. Drug-response curves were plotted in GraphPad Prism. Data were expressed as mean ± standard deviation (SD), unless otherwise indicated.", "Monoclonal antibodies 14C1 (a kind donation of Dr. Michael Makler) and 19G7 (purchased from Flow Inc., Portland, OR) developed for pLDH-based malaria diagnostic tests\n[16] were used as capture and detection antibodies, respectively (these monoclonal antibodies are now owned by AccessBio, Somerset, NJ). Biotinylation of 19G7 (10 μg/ml) was carried out using the EZ-Link Sulfo-NHS-LC-Biotinylation Kit (Pierce Biotechnology) following the standard protocols provided by the manufacturer. The 2-(4-hydroxyazobenzene) benzoic acid (HABA) assay also included in the EZ-Link Sulfo-NHS-LC-Biotinylation Kit was used for measuring the level of biotin incorporation per immunoglobulin molecule.\nThe ELISA technique described above was standardized from the DELI assay developed for P. falciparum with modifications\n[10]. Nunc MaxiSorp flat-bottom 96 well plates (Gibco) were coated with 100 μl of capture antibody 14C1 (10 μg/ml) and incubated at 4°C for 24 hours. Plates were washed with phosphate-buffered saline (PBS) 0.025% (v/v) Tween 20 (PBS/Tween) and blocked with 1% (w/v) Bovine Serum Albumin Fraction V (Roche) (PBS/BSA). After 24 hours of incubation at 4°C, the plates were washed, covered with plastic seals, refrigerated and used within a month.\nOnce the drug in vitro assays were performed, the plates were frozen/thawed three-times and the haemolyzed samples were homogenized. 100 μl of haemolyzed samples, undiluted and diluted (1:10, 1:50 and 1:100 in PBS), was transferred into the coated ELISA plates and incubated for 1 hour at 37°C. The plates were washed and 100 μl of a 1:4,000 dilution (2.5 × 10-3 μg/ml) of 19G7 biotinylated antibody was added. After 1 hour of incubation at 37°C, plates were washed and incubated for 30 minutes with 100 μl of a 1:10,000 dilution (0.125 μg/ml) of peroxidase-conjugated streptavidin preparation (1.25 mg/ml) (Pierce ). After the last wash, 100 μl of TMB (3,3´,5,5´-tetramentylbenzidine) (1-Step Ultra TMB-ELISA, Thermo Scientific) was added to the plate and incubated for 20 minutes at room temperature. The reaction was stopped by adding 100 μl of 2 M H2SO4 solution, and read at 450 nm in a μQuant micro-plate spectrophotometer (Bio-Tek Instruments).", "Initial ELISA assays aimed to evaluate the antibody recognition capability of PbAGFP samples and establish the optimal antibody concentrations to be used. ELISA assays were first conducted in uncultured and asynchronous parasites adjusted to 1% and 2.5% of parasitaemia and haematocrit, respectively. Initial coating plates concentrations (10, 50 and 100 μg/ml) of primary antibody (14C1) versus the secondary antibody (19G7) (1:1,000 [0.01 μg/ml] to 1:64,000 [1.56 × 10-4 μg/ml] two-fold dilution) were tested. These preliminary experiments showed that independently from the coating concentration used, dilutions of the secondary antibody below 1:6,000 (1.67 × 10-3 μg/ml) did not significantly differ in their antigen detection capability. Using a concentration of 10 μg/ml of 14C1 and a 1:4,000 dilution (2.5 × 10-3 μg/ml) of 19G7, the assay generated absorbance values of 2.7 (± 0.01) for infected samples and 1.2 (± 0.01) for negative controls: uninfected blood and complete RPMI media. Based on these preliminary results, next assays attempted to reduce the high absorbance values obtained for the negative controls. Simple modifications were performed: (i) reduced the haematocrit of the samples to 1%, (ii) supplemented the PBS used for washes with Tween-20 0.05%, (iii) and performed and extra wash at all ELISA steps (four in total). These basic protocol changes significantly reduced the absorbance from the negative controls from 1.2 (± 0.01) to 0.2 (± 0.02) whereas the infected samples still showed good detection levels (1.5 ± 0.3).\nParasite blood samples used in these preliminary tests were uncultured and asynchronous with different stages of the parasite producing different levels of pLDH. Since the in vitro drug method proposed here is based on the schizont maturation inhibition assay\n[2], next experiments were directed to evaluate the ELISA standardized conditions in late stages of PbAGFP. The P. berghei life cycle takes approximately 24 hours and under static in vitro culture conditions the asynchronous parasites from the mice infection develop into mature schizonts that do not burst in culture. Two different parasitaemias (0.5% and 1%) of cultured mature schizonts obtained after 22 hours of in vitro culture were evaluated in the ELISA assays. Since the absorbance expected for these stages was the highest\n[17], three different dilutions (1:2, 1:10 and 1:50 in PBS) of the samples were tested. The performance of the ELISAs using a 0.5% or 1% parasitaemia showed no critical differences and both worked well. At 0.5% parasitaemia, culture dilution 1:10 resulted in absorbance values in the range of 2.2 to 1.3 (1:2,000 [5.0 × 10-3 μg/ml] to 1:6,000 [1.67 × 10-3 μg/ml] secondary antibody dilution, respectively) (Figure\n1). At 1% parasitaemia, both 1:2 and 1:10 culture dilutions resulted in high absorbance values (between 4.0 and 2.6, except at 1:6,000 secondary antibody dilution, absorbance = 1.8). Signal-to-noise ratios at culture dilution 1:50 were not as good as dilution 1:10. It was concluded therefore that in cultures with 0.5% parasitaemia diluted 1:10, any of these 19G7 dilutions were appropriate. Dilution 1:4,000 (2.5 × 10-3 μg/ml) of 19G7 was selected for further use in this study as it provided a better signal-to-noise ratio than 1:6,000, and allowed using lower amount of secondary antibody than dilution 1:2,000. For cultures at 1% parasitaemia, the combination of 1:10 culture dilution with 19G7 dilution 1:6,000 would be appropriate as well. The use of different combinations does not seem to be critical for the assay, as long as the absorbance values fall within the non-saturation (non-plateau) range. As can be seen in Figure\n1, the plateau is far from being reached at 1:10 dilutions (that is, 1:2 dilutions still provide absorbance values well above those observed with 1:10 dilutions).\nEffect of sample dilution in pLDH detection – ELISA standardization. Vertical bars represent mean optical density (OD) values ± SD obtained from PbAGFP cultured schizonts at 0.5% or 1 % of parasitaemia and uninfected red blood cells (unRBC) at 1% of haematocrit. Grey and white bars represent schizonts culture at 1% and 0.5% of parasitaemia, respectively. Three different concentrations of 19G7 (secondary antibody) were tested (X-axis). Mean is derived from three independent assays.\nThe development of P. berghei in mice is relatively asynchronous and unsuitable for schizont inhibition assays, since most of the anti-malarial drugs are parasite stage-specific. In P. falciparum, synchronization can be easily performed by sorbitol treatment\n[18]. However due to alterations in the permeability of murine erythrocytes this procedure is less efficient in P. berghei[19]. A suitable alternative for P. berghei synchronization is the development of synchronous infections in mice. Following the procedures described by Janse and Waters\n[13], synchronized infections of PbA and PbAGFP were generated and followed by thin blood smears and/or flow cytometry (Figure\n2). PbAGFP express GFP throughout the whole life cycle and displays different GFP-fluorescence intensity during each stage\n[12] facilitating the analyses of mice synchronized infections by flow cytometry. As expected, asexual blood stages of PbAGFP with different parasite stages were found during the course of the infection (Figure\n2, histogram B). Once the parasites were collected from the mice and cultured overnight, a highly pure and concentrated population of mature schizonts was gathered through the use of the Nycodenz gradients (Figure\n2, histogram C). Collected schizonts (approximately 1 × 107) were then injected IV into mice and 30 hours post-infection a highly synchronized parasitaemia of 1-3% was observed (Figure\n2, histograms D to F). This procedure allowed the acquisition of the early stage parasite samples required for the conduction of the drug in vitro assays. This protocol was also useful for PbA (wild type, not expressing GFP) synchronization but parasite development was only followed by thin blood smears.\nFlow cytometry analyses of synchronized infections of P. berghei in C57BL/6 mice.A) Panel showing uninfected red blood cells (negative controls). B) Asexual blood-stages of PbAGFP from infected mice with normal day-night light regime. C) Highly fluorescent mature schizonts purified after 22 hours of in vitro culture used to generate synchronized P. berghei infections in mice. D) Rings, E) trophozoites and F) schizont-enriched populations from synchronized infections after one cycle of replication in mice. *hpi=hours post-infection.\nAfter having standardized the synchronized infections in mice, the next objective was to confirm the capability of the ELISA assay to detect pLDH activity throughout the different stages of the parasite life cycle in samples that were grown under the in vitro assay conditions. To do this, parasites from synchronized infections were collected in early stages of development (early trophozoites adjusted to 1% of haematocrit and 0.5% of parasitaemia) and short-cultured in 96-well plates. Incubation of plates was performed at 36.5°C in a desiccator plastic chamber filled with a sterile gas mixture (5% CO2, 5% O2, and 90% N2). Higher incubation temperatures (37°C and 37.5°C) were also tested but under these conditions parasites did not develop into mature schizonts and the presence of degenerated schizonts was common. Over the 22 hours of the incubation period parasite samples were collected at different time points in order to perform thin blood smears and the measurement of pLDH activity. In Figure\n3 it can be observed how pLDH levels increased as the parasite grew during the incubation time. Ring samples at time 0 of incubation had an initial OD value of 0.25 (± 0.02). After 4 hours of incubation, intracellular growth occurred, trophozoites predominated in the culture and the OD nearly doubled to 0.45 (± 0.02). Ten hours after the second sample was taken (schizonts) the OD reached 1.0 (± 0.06), with a slight increase at 18 hours. The OD remained stable until the end of the culture (22 hours) when fully mature schizonts with more than 8 nuclei were observed.\nRelationship between growth, stage development and pLDH optical density of synchronized cultures of P. berghei. Parasites were cultured under drug in vitro assay conditions without drug. Samples were collected and frozen at the different time points. Asterisks represent the mean and standard error of two different experiments. A picture of a mature schizont (usually containing 8–16 nuclei) collected at the end of the assay (hour 22) is also shown.\nThese simple growth tests confirmed that the short-culture conditions to be used in this in vitro assay supported well the parasite growth and the feasibility of this ELISA-based technique to detect it. These results also show that the maximal pLDH activity was generated when the parasites developed from early trophozoites into schizonts, which is consistent with previous reports in P. falciparum where the peak of L-lactate (product of pLDH activity) coincided with the beginning of the schizogony\n[17,20]. There was no significantly increase in pLDH values after 16 hours of incubation when nuclear division and merozoite formation start to occur. These findings indicate that this assay is appropriate to evaluate drugs that affect the parasite’s growth and maturation but not for drugs targeting DNA synthesis during schizogony. In addition, in the absence of an efficient long-term continuous culture of P. berghei[21,22] the drug in vitro assay proposed here is based on a single cycle. Therefore, this test is not suitable for the evaluation of drugs that have no apparent effect until division and reinvasion of new red blood cells by the daughter merozoites occur (delayed-death phenomenon described with antibacterial drugs in P. falciparum) and whose effect can only be estimated in the next developmental cycles\n[23]. For this kind of drugs, other in vitro assays for P. berghei based on DNA synthesis\n[5] and luciferase schizont-specific expression are available\n[6]. The recent report of a new in vitro culture technique for P. berghei that allows reinvasion of normal mouse red blood cells and continuous culture for over two weeks\n[24] might also overcome this limitation.\nFor the in vitro assays, early parasite stages (rings) obtained from synchronized infections were used. Parasites were incubated with the different concentrations of the anti-malarial drugs at 36.5°C for 22 hours. Slides confirming the fully maturation of healthy schizonts in the positive control wells were always performed at the end of each assay. Figure\n4 shows the absorbance recorded for positive and negative controls during the drug in vitro assays. Absorbance values of negative controls were 0.14 (± 0.03) and 0.10 (± 0.01) for uninfected red blood cells and complete RPMI media, respectively. The negative controls showed significantly lower absorbance (Fisher Exact Test, p = 0.0001) than infected samples, regardless of the time of collection. Infected samples at time zero of growth also showed low absorbance values (0.3 ± 0.10), as expected for early stages, but significantly doubled (Fisher Exact Test, p = 0.0001) the OD values of the negative controls. After 22 hours of incubation, the samples from time zero of growth tripled their absorbance values to 1.1 (± 0.2 SD). These results clearly show the suitability of the antibodies to for P. berghei detection.\nOptical density readings from drug in vitro assay controls. pLDH OD values for negative controls: complete RMPI media (cRPMI, N = 9 wells), uninfected red blood cells (unRBCs, N = 45 wells) and positive controls (N = 84 wells): infected red blood cells without drug collected at time zero of incubation (T0) and after finished the assay (22h). Wells from different assays were plotted together and at least three independent assays were performed per each group. Values are displayed in box plots, means and outliers are represented by solid crosses and black circles, respectively.\nThe in vitro response of P. berghei to common anti-malarial drugs can be observed in Figure\n5. Since no differences between the IC50s values of the wild type (PbA) and the transgenic line (PbAGFP) were observed, curves for both parasites were plotted together. The IC50 of chloroquine and artesunate was also investigated for PbAGFP using the micro-test\n[2] with similar results for both techniques (Figure\n5). The IC50 values for artesunate obtained in this work (15 nM) are in accordance with previous reports for this species\n[5,6]. Janse et al.[5] developed and in vitro assay for P. berghei analyzing the amount of parasite DNA through Hoechst staining and flow cytometry and reported IC50 values for artesunate of 11 nM. More recently, the same group developed another anti-malarial drug screening in vitro assay using a transgenic line of P. berghei expressing luciferase\n[6]. Through this highly sensitive technique, the recorded IC50 values of artesunate ranged from 4 to 26 nM. IC50 values for chloroquine in sensitive P. berghei strains have also been described through the use of the different techniques. Early reports of IC50s for chloroquine sensitive lines (NK65 strain) using the radioisotopic assay ranged between 155 nM\n[25] and 230 nM\n[3]. A report in another murine Plasmodium species Plasmodium chabaudi described an IC50 value of chloroquine of 30 nM using the radioisotopic technique\n[26]. More recently, IC50 values of 30 nM were also described in P. berghei using the luciferase assay\n[6]. In the present study, the IC50s values for chloroquine sensitive lines (PbA and PbAGFP) were 7 nM and 20 nM using the pLDH ELISA and the micro-test, respectively (Figure\n5); both values are within the range of IC50 values described for sensitive chloroquine strains of Plasmodium in rodents\n[3,6,25,26] and similar to those reported in P. falciparum[10,27-30] and Plasmodium vivax[24,31]. The reports of IC50s for amodiaquine and quinine in P. berghei are more restricted, mainly derived from the radioisotopic assays: 430 nM and 1500 nM, respectively\n[3]; another study showed an IC50 of 210 nM for quinine-HCL using again the radioisotopic technique\n[25]. In this work was found that P. berghei ANKA lines were sensitive to amodiaquine (IC50 of 2nM) and quinine (IC50 of 144 nM). These values have been also described in sensitive strains of P. falciparum[10,27-30] and P. vivax[32]. However, comparison of in vitro IC50 data among different Plasmodium species should be cautiously made and was not the purpose of the present study. Comparisons of these results, with previous reports in P. berghei can be also limited since available IC50s have been obtained through different techniques and conducted with different strains, hosts, drug dilution protocols and under diverse parameters of parasitaemia and haematocrit that can influence the IC50 results\n[27]; moreover early in vitro assays described in P. berghei were usually conducted without synchronization procedures\n[3,25,26].\nIn vitro susceptibility of P. berghei to different anti-malarial drugs. Inhibition of schizont maturation by amodiaquine (squares), chloroquine (solid circles), artesunate (solid triangles) and quinine (asterisks). Curves derived from micro-test assays are displayed as dashed lines and open symbols. Each point represents the mean and the standard error of at least three independent assays for PbA and PbAGFP. The IC50 values and standard error of the media are shown in the legend.\nThis ELISA method provides a simple procedure to determine IC50s for anti-malarial drugs in vitro using P. berghei. Since studies focusing on the identification of novel drugs often involve the testing of the in vivo efficacy of drug candidates in small animal (rodent) models of malaria, the availability of simple assays to determine the in vitro drug-sensitivity of rodent parasites is useful. Specifically, this assay may help to determine whether a discrepancy between in vitro P. falciparum drug-sensitivity and in vivo rodent parasite drug-sensitivity is the result of intrinsic differences between the two parasite species or may be due to pharmacokinetic or pharmacodynamic characteristics of the drug in a live animal.", "WHO: World Health Organization; LDH: Lactate dehydrogenase; pLDH: Parasite Lactate dehydrogenase; ELISA: Enzyme-linked immunosorbent assay; IP: Intraperitoneally; PbA: Plasmodium berghei ANKA, PbAGFP, Plasmodium berghei ANKA GFP; MR4: Malaria Research and Reference Reagent Resource Center; NIH: National Institutes of Health; PBS: Phosphate buffered saline; RPMI: Roswell Park Memorial Institute; IV: Intravenously; OD: Optical density; IC50: Half maximal inhibitory concentration; SD: Standard deviation; HABA: 4'-hydroxyazobenzene-2-carboxylic acid; DELI: Double-site enzyme-linked lactate dehydrogenase immunodetection assay; BSA: Bovine serum albumin; TMB: 3,3',5,5'-tetramethybenzidine; unRBC: Uninfected red blood cell; cRMPI: Complete RMPI media.", "Authors do not have any competing interests.", "The work was carried out in collaboration between all authors. POS and LJMC designed experiments. POS carried out the laboratory experiments, analysed the data, interpreted the results and wrote the manuscript. ED assisted in FACS experiments and FCS Express software analyses. LJMC conceived the study, interpreted results and revised the manuscript. JAF and JN discussed the results and revised the manuscript. All authors have approved the final manuscript." ]
[ null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Short-term parasite in vitro culture and synchronization", "Drug in vitro assays", "Enzyme-linked immunosorbent assay", "Results and discussion", "Conclusion", "Abbreviations", "Competing interests", "Authors’ contributions" ]
[ "Murine malaria models have contributed to the understanding of the biology and pathology of human malarias. Although the immune system and drug pharmacokinetics between humans and rodents may be different, the drug sensitivity profile between these Plasmodium species is mostly shared. Drug efficacy studies in small rodents have been mainly performed in vivo using different strains of Plasmodium berghei and the classical four-day suppressive test\n[1]. The use and development of in vitro techniques for anti-malarial drug-screening in P. berghei has been less prominent, especially when compared with the variety of in vitro assays described for Plasmodium falciparum. In vitro assays are complementary to in vivo tests, and in P. berghei some advantages of the in vitro assays include: i) the measurement of intrinsic anti-malarial activity, excluding confounding factors from the host such as the immune system; ii) the evaluation of larger number of compounds in one experiment with possible prediction of an in vivo outcome, and iii) the identification of discrepancies in the sensitivity profiles of P. berghei and P. falciparum.\nDifferent drug in vitro assays have been adapted and developed for P. berghei. These assays include: the WHO schizont maturation test (micro-test)\n[2], the radioisotopic assay\n[3] and the measurement of parasite nucleic acids using fluorescent dyes and flow cytometry\n[4,5]. More recently, a luminescence assay using a transgenic line of P. berghei expressing luciferase was also developed\n[6]. These techniques can be limited by labour-intensive steps, disposal of radioactive waste and high costs.\nEarly studies of the metabolic pathways of Plasmodium led to the identification of enzymes structurally different from the host, such as lactate dehydrogenase (LDH)\n[7]. Plasmodium parasites require intense LDH activity to ensure the high metabolism of carbohydrates during the complex intraerythrocytic cycle\n[8]. These singularities pointed to parasite LDH (pLDH) detection as a good target for the development of colorimetric\n[9] and ELISA\n[10] based drug in vitro assays for P. falciparum. The aim of this study was to develop an in vitro enzyme-linked immunosorbent drug assay for P. berghei, using two monoclonal antibodies against pLDH and the semi-automated micro-dilution technique\n[11]. This in vitro susceptibility test starts with P. berghei mouse infections followed by a short in vitro culture and a synchronization procedure to generate the P. berghei samples to be evaluated in the drug in vitro assays. The measurement of drug activity is derived from the relative amount of P. berghei LDH (estimated by ELISA) as a function of the drug concentration.", " Short-term parasite in vitro culture and synchronization 13-week old C57BL/6 (The Jackson Laboratory, Sacramento, CA) mice were infected intraperitoneally (IP) with 1 × 103P. berghei ANKA (PbA) or P. berghei ANKA expressing GFP (PbAGFP)\n[12] (a donation from the Malaria Research and Reference Reagent Resource Center (MR4), Manassas, VA; deposited by MF Wiser and M Hollingdale and CJ Janse and AP Waters, respectively; MR4 number: MRA-671 and MRA-865). At a parasitaemia of 2 - 3%, mice were anesthetized (ketamine, 150 mg/kg and xylazine, 10 mg/kg) and 0.5 ml of blood was collected by retro-orbital puncture, after which mice were euthanized by an IP injection of Euthasol (100mg/kg). Animal handling and care followed the NIH Guide for Care and Use of Laboratory Animals. All protocols were approved by the La Jolla Bioengineering Institutional Animal Care and Use Committee.\nInfected heparinized blood samples were washed twice in phosphate-buffered saline (PBS) solution and cultured in media RPMI 1640 (Gibco, Life Technologies) supplemented with 20% inactivated fetal bovine serum (complete RMPI) following the procedures described by Janse and Waters\n[13]. Cultures were flushed with a standard gas mixture of 5% O2, 5% CO2, 90% N2 and incubated for 22 hours at 36.5°C. Purification of fully mature schizonts from uninfected red blood cells or younger parasites’ stages was performed following the protocol described by Janse et al.[14] with some modifications. Briefly, 25 ml of the overnight parasite culture was transferred to a 50 ml falcon tube (Becton, Dickinson) and 8 ml of 55% Nycodenz (v/v, PBS) was added to the bottom of the tube. Tubes were centrifuged at 450 g in a swing-out rotor for 30 minutes without brake. After centrifugation, the visible suspended brown ring containing mostly mature schizonts was carefully collected into another falcon tube. Schizonts were washed in complete RPMI media, resuspended in 100 μl of PBS and injected intravenously (IV) into the pre-warmed tails of 13-week old C57BL/6 mice. Between 48 to 72 hours post-infection, an optimal synchronized parasitaemia of 1 to 3% was reached. Mice were anesthetized as previously described and parasite blood samples were collected. To adjust the parasitaemia and haematocrit for the in vitro assay samples, a pool of blood from uninfected mice was also gathered.\nMice parasitaemia and synchronized infections of P. berghei were analysed by flow cytometry and Hemacolor (Merck) stained thin blood smears. Tail blood samples from infected and uninfected mice were diluted 100-times in PBS, and subsequently acquired in a FACSCalibur cytometer (Becton Dickinson). Samples were excited using a 488 nm argon laser and GFP emission was detected with a 530/30 nm band pass filter. FCS Express (De novo Software) was used for all flow cytometry analyses by first gating for intact erythrocytes by side scatter and forward scatter parameters, and subsequently determining the proportion of GFP positive cells. The fluorescence intensity and the forward-scattered light of at least 10,000 cells per sample were measured. A negative control sample from an uninfected mouse was tested in parallel to define the threshold of positivity for the parasitaemia.\n13-week old C57BL/6 (The Jackson Laboratory, Sacramento, CA) mice were infected intraperitoneally (IP) with 1 × 103P. berghei ANKA (PbA) or P. berghei ANKA expressing GFP (PbAGFP)\n[12] (a donation from the Malaria Research and Reference Reagent Resource Center (MR4), Manassas, VA; deposited by MF Wiser and M Hollingdale and CJ Janse and AP Waters, respectively; MR4 number: MRA-671 and MRA-865). At a parasitaemia of 2 - 3%, mice were anesthetized (ketamine, 150 mg/kg and xylazine, 10 mg/kg) and 0.5 ml of blood was collected by retro-orbital puncture, after which mice were euthanized by an IP injection of Euthasol (100mg/kg). Animal handling and care followed the NIH Guide for Care and Use of Laboratory Animals. All protocols were approved by the La Jolla Bioengineering Institutional Animal Care and Use Committee.\nInfected heparinized blood samples were washed twice in phosphate-buffered saline (PBS) solution and cultured in media RPMI 1640 (Gibco, Life Technologies) supplemented with 20% inactivated fetal bovine serum (complete RMPI) following the procedures described by Janse and Waters\n[13]. Cultures were flushed with a standard gas mixture of 5% O2, 5% CO2, 90% N2 and incubated for 22 hours at 36.5°C. Purification of fully mature schizonts from uninfected red blood cells or younger parasites’ stages was performed following the protocol described by Janse et al.[14] with some modifications. Briefly, 25 ml of the overnight parasite culture was transferred to a 50 ml falcon tube (Becton, Dickinson) and 8 ml of 55% Nycodenz (v/v, PBS) was added to the bottom of the tube. Tubes were centrifuged at 450 g in a swing-out rotor for 30 minutes without brake. After centrifugation, the visible suspended brown ring containing mostly mature schizonts was carefully collected into another falcon tube. Schizonts were washed in complete RPMI media, resuspended in 100 μl of PBS and injected intravenously (IV) into the pre-warmed tails of 13-week old C57BL/6 mice. Between 48 to 72 hours post-infection, an optimal synchronized parasitaemia of 1 to 3% was reached. Mice were anesthetized as previously described and parasite blood samples were collected. To adjust the parasitaemia and haematocrit for the in vitro assay samples, a pool of blood from uninfected mice was also gathered.\nMice parasitaemia and synchronized infections of P. berghei were analysed by flow cytometry and Hemacolor (Merck) stained thin blood smears. Tail blood samples from infected and uninfected mice were diluted 100-times in PBS, and subsequently acquired in a FACSCalibur cytometer (Becton Dickinson). Samples were excited using a 488 nm argon laser and GFP emission was detected with a 530/30 nm band pass filter. FCS Express (De novo Software) was used for all flow cytometry analyses by first gating for intact erythrocytes by side scatter and forward scatter parameters, and subsequently determining the proportion of GFP positive cells. The fluorescence intensity and the forward-scattered light of at least 10,000 cells per sample were measured. A negative control sample from an uninfected mouse was tested in parallel to define the threshold of positivity for the parasitaemia.\n Drug in vitro assays The anti-malarial drugs evaluated in the in vitro assays were: chloroquine diphosphate salt, amodiaquine dihydrochloride dihydrate, quinine hydrochloride dihydrate and artesunate (all from Sigma-Aldrich). The drugs were diluted in ethanol 70% (v/v, ultrapure water) with the exception of chloroquine that was diluted in ultrapure water. The stock solutions of each drug were used to prepare two-fold dilution series in complete RPMI medium. The dilutions ranging from: 3.8-240 nM chloroquine, 1–65 nM amodiaquine, 50–3150 nM quinine-HCL and 0.6-40 nM artesunate were distributed (25 μl per well) in 96-well plates (Corning, Life Science) where the drug in vitro assays were performed.\nUninfected and infected red blood cells containing primarily early trophozoites were washed twice in PBS prior to use in the in vitro assays. Infected red blood cells were diluted in complete RPMI medium to a final parasitaemia of 0.5% and 1% of haematocrit and dispensed (225 μl per well) into the pre-dose drug plates. In each experiment, wells with uninfected and infected red blood cells without drug were included as negative and positive controls of growth, respectively. In addition, aliquots from the positive controls were frozen immediately in order to assess pLDH activity at time zero of incubation. The drug in vitro plates were incubated in gas atmosphere of 5% CO2, 5% O2, and 90% N2 at 36.5°C for 22 to 24 hours. At the end of the incubation period, thin blood smears of positive controls were performed to confirm the presence of mature schizonts (with 8 to 16 merozoites).\nThe drug concentrations that inhibited 50% of parasite growth (measured by optical densities – ODs in the ELISA assays) compared to the control samples without drug (IC50s) were calculated using HN-NonLin\n[15]. Drug-response curves were plotted in GraphPad Prism. Data were expressed as mean ± standard deviation (SD), unless otherwise indicated.\nThe anti-malarial drugs evaluated in the in vitro assays were: chloroquine diphosphate salt, amodiaquine dihydrochloride dihydrate, quinine hydrochloride dihydrate and artesunate (all from Sigma-Aldrich). The drugs were diluted in ethanol 70% (v/v, ultrapure water) with the exception of chloroquine that was diluted in ultrapure water. The stock solutions of each drug were used to prepare two-fold dilution series in complete RPMI medium. The dilutions ranging from: 3.8-240 nM chloroquine, 1–65 nM amodiaquine, 50–3150 nM quinine-HCL and 0.6-40 nM artesunate were distributed (25 μl per well) in 96-well plates (Corning, Life Science) where the drug in vitro assays were performed.\nUninfected and infected red blood cells containing primarily early trophozoites were washed twice in PBS prior to use in the in vitro assays. Infected red blood cells were diluted in complete RPMI medium to a final parasitaemia of 0.5% and 1% of haematocrit and dispensed (225 μl per well) into the pre-dose drug plates. In each experiment, wells with uninfected and infected red blood cells without drug were included as negative and positive controls of growth, respectively. In addition, aliquots from the positive controls were frozen immediately in order to assess pLDH activity at time zero of incubation. The drug in vitro plates were incubated in gas atmosphere of 5% CO2, 5% O2, and 90% N2 at 36.5°C for 22 to 24 hours. At the end of the incubation period, thin blood smears of positive controls were performed to confirm the presence of mature schizonts (with 8 to 16 merozoites).\nThe drug concentrations that inhibited 50% of parasite growth (measured by optical densities – ODs in the ELISA assays) compared to the control samples without drug (IC50s) were calculated using HN-NonLin\n[15]. Drug-response curves were plotted in GraphPad Prism. Data were expressed as mean ± standard deviation (SD), unless otherwise indicated.\n Enzyme-linked immunosorbent assay Monoclonal antibodies 14C1 (a kind donation of Dr. Michael Makler) and 19G7 (purchased from Flow Inc., Portland, OR) developed for pLDH-based malaria diagnostic tests\n[16] were used as capture and detection antibodies, respectively (these monoclonal antibodies are now owned by AccessBio, Somerset, NJ). Biotinylation of 19G7 (10 μg/ml) was carried out using the EZ-Link Sulfo-NHS-LC-Biotinylation Kit (Pierce Biotechnology) following the standard protocols provided by the manufacturer. The 2-(4-hydroxyazobenzene) benzoic acid (HABA) assay also included in the EZ-Link Sulfo-NHS-LC-Biotinylation Kit was used for measuring the level of biotin incorporation per immunoglobulin molecule.\nThe ELISA technique described above was standardized from the DELI assay developed for P. falciparum with modifications\n[10]. Nunc MaxiSorp flat-bottom 96 well plates (Gibco) were coated with 100 μl of capture antibody 14C1 (10 μg/ml) and incubated at 4°C for 24 hours. Plates were washed with phosphate-buffered saline (PBS) 0.025% (v/v) Tween 20 (PBS/Tween) and blocked with 1% (w/v) Bovine Serum Albumin Fraction V (Roche) (PBS/BSA). After 24 hours of incubation at 4°C, the plates were washed, covered with plastic seals, refrigerated and used within a month.\nOnce the drug in vitro assays were performed, the plates were frozen/thawed three-times and the haemolyzed samples were homogenized. 100 μl of haemolyzed samples, undiluted and diluted (1:10, 1:50 and 1:100 in PBS), was transferred into the coated ELISA plates and incubated for 1 hour at 37°C. The plates were washed and 100 μl of a 1:4,000 dilution (2.5 × 10-3 μg/ml) of 19G7 biotinylated antibody was added. After 1 hour of incubation at 37°C, plates were washed and incubated for 30 minutes with 100 μl of a 1:10,000 dilution (0.125 μg/ml) of peroxidase-conjugated streptavidin preparation (1.25 mg/ml) (Pierce ). After the last wash, 100 μl of TMB (3,3´,5,5´-tetramentylbenzidine) (1-Step Ultra TMB-ELISA, Thermo Scientific) was added to the plate and incubated for 20 minutes at room temperature. The reaction was stopped by adding 100 μl of 2 M H2SO4 solution, and read at 450 nm in a μQuant micro-plate spectrophotometer (Bio-Tek Instruments).\nMonoclonal antibodies 14C1 (a kind donation of Dr. Michael Makler) and 19G7 (purchased from Flow Inc., Portland, OR) developed for pLDH-based malaria diagnostic tests\n[16] were used as capture and detection antibodies, respectively (these monoclonal antibodies are now owned by AccessBio, Somerset, NJ). Biotinylation of 19G7 (10 μg/ml) was carried out using the EZ-Link Sulfo-NHS-LC-Biotinylation Kit (Pierce Biotechnology) following the standard protocols provided by the manufacturer. The 2-(4-hydroxyazobenzene) benzoic acid (HABA) assay also included in the EZ-Link Sulfo-NHS-LC-Biotinylation Kit was used for measuring the level of biotin incorporation per immunoglobulin molecule.\nThe ELISA technique described above was standardized from the DELI assay developed for P. falciparum with modifications\n[10]. Nunc MaxiSorp flat-bottom 96 well plates (Gibco) were coated with 100 μl of capture antibody 14C1 (10 μg/ml) and incubated at 4°C for 24 hours. Plates were washed with phosphate-buffered saline (PBS) 0.025% (v/v) Tween 20 (PBS/Tween) and blocked with 1% (w/v) Bovine Serum Albumin Fraction V (Roche) (PBS/BSA). After 24 hours of incubation at 4°C, the plates were washed, covered with plastic seals, refrigerated and used within a month.\nOnce the drug in vitro assays were performed, the plates were frozen/thawed three-times and the haemolyzed samples were homogenized. 100 μl of haemolyzed samples, undiluted and diluted (1:10, 1:50 and 1:100 in PBS), was transferred into the coated ELISA plates and incubated for 1 hour at 37°C. The plates were washed and 100 μl of a 1:4,000 dilution (2.5 × 10-3 μg/ml) of 19G7 biotinylated antibody was added. After 1 hour of incubation at 37°C, plates were washed and incubated for 30 minutes with 100 μl of a 1:10,000 dilution (0.125 μg/ml) of peroxidase-conjugated streptavidin preparation (1.25 mg/ml) (Pierce ). After the last wash, 100 μl of TMB (3,3´,5,5´-tetramentylbenzidine) (1-Step Ultra TMB-ELISA, Thermo Scientific) was added to the plate and incubated for 20 minutes at room temperature. The reaction was stopped by adding 100 μl of 2 M H2SO4 solution, and read at 450 nm in a μQuant micro-plate spectrophotometer (Bio-Tek Instruments).", "13-week old C57BL/6 (The Jackson Laboratory, Sacramento, CA) mice were infected intraperitoneally (IP) with 1 × 103P. berghei ANKA (PbA) or P. berghei ANKA expressing GFP (PbAGFP)\n[12] (a donation from the Malaria Research and Reference Reagent Resource Center (MR4), Manassas, VA; deposited by MF Wiser and M Hollingdale and CJ Janse and AP Waters, respectively; MR4 number: MRA-671 and MRA-865). At a parasitaemia of 2 - 3%, mice were anesthetized (ketamine, 150 mg/kg and xylazine, 10 mg/kg) and 0.5 ml of blood was collected by retro-orbital puncture, after which mice were euthanized by an IP injection of Euthasol (100mg/kg). Animal handling and care followed the NIH Guide for Care and Use of Laboratory Animals. All protocols were approved by the La Jolla Bioengineering Institutional Animal Care and Use Committee.\nInfected heparinized blood samples were washed twice in phosphate-buffered saline (PBS) solution and cultured in media RPMI 1640 (Gibco, Life Technologies) supplemented with 20% inactivated fetal bovine serum (complete RMPI) following the procedures described by Janse and Waters\n[13]. Cultures were flushed with a standard gas mixture of 5% O2, 5% CO2, 90% N2 and incubated for 22 hours at 36.5°C. Purification of fully mature schizonts from uninfected red blood cells or younger parasites’ stages was performed following the protocol described by Janse et al.[14] with some modifications. Briefly, 25 ml of the overnight parasite culture was transferred to a 50 ml falcon tube (Becton, Dickinson) and 8 ml of 55% Nycodenz (v/v, PBS) was added to the bottom of the tube. Tubes were centrifuged at 450 g in a swing-out rotor for 30 minutes without brake. After centrifugation, the visible suspended brown ring containing mostly mature schizonts was carefully collected into another falcon tube. Schizonts were washed in complete RPMI media, resuspended in 100 μl of PBS and injected intravenously (IV) into the pre-warmed tails of 13-week old C57BL/6 mice. Between 48 to 72 hours post-infection, an optimal synchronized parasitaemia of 1 to 3% was reached. Mice were anesthetized as previously described and parasite blood samples were collected. To adjust the parasitaemia and haematocrit for the in vitro assay samples, a pool of blood from uninfected mice was also gathered.\nMice parasitaemia and synchronized infections of P. berghei were analysed by flow cytometry and Hemacolor (Merck) stained thin blood smears. Tail blood samples from infected and uninfected mice were diluted 100-times in PBS, and subsequently acquired in a FACSCalibur cytometer (Becton Dickinson). Samples were excited using a 488 nm argon laser and GFP emission was detected with a 530/30 nm band pass filter. FCS Express (De novo Software) was used for all flow cytometry analyses by first gating for intact erythrocytes by side scatter and forward scatter parameters, and subsequently determining the proportion of GFP positive cells. The fluorescence intensity and the forward-scattered light of at least 10,000 cells per sample were measured. A negative control sample from an uninfected mouse was tested in parallel to define the threshold of positivity for the parasitaemia.", "The anti-malarial drugs evaluated in the in vitro assays were: chloroquine diphosphate salt, amodiaquine dihydrochloride dihydrate, quinine hydrochloride dihydrate and artesunate (all from Sigma-Aldrich). The drugs were diluted in ethanol 70% (v/v, ultrapure water) with the exception of chloroquine that was diluted in ultrapure water. The stock solutions of each drug were used to prepare two-fold dilution series in complete RPMI medium. The dilutions ranging from: 3.8-240 nM chloroquine, 1–65 nM amodiaquine, 50–3150 nM quinine-HCL and 0.6-40 nM artesunate were distributed (25 μl per well) in 96-well plates (Corning, Life Science) where the drug in vitro assays were performed.\nUninfected and infected red blood cells containing primarily early trophozoites were washed twice in PBS prior to use in the in vitro assays. Infected red blood cells were diluted in complete RPMI medium to a final parasitaemia of 0.5% and 1% of haematocrit and dispensed (225 μl per well) into the pre-dose drug plates. In each experiment, wells with uninfected and infected red blood cells without drug were included as negative and positive controls of growth, respectively. In addition, aliquots from the positive controls were frozen immediately in order to assess pLDH activity at time zero of incubation. The drug in vitro plates were incubated in gas atmosphere of 5% CO2, 5% O2, and 90% N2 at 36.5°C for 22 to 24 hours. At the end of the incubation period, thin blood smears of positive controls were performed to confirm the presence of mature schizonts (with 8 to 16 merozoites).\nThe drug concentrations that inhibited 50% of parasite growth (measured by optical densities – ODs in the ELISA assays) compared to the control samples without drug (IC50s) were calculated using HN-NonLin\n[15]. Drug-response curves were plotted in GraphPad Prism. Data were expressed as mean ± standard deviation (SD), unless otherwise indicated.", "Monoclonal antibodies 14C1 (a kind donation of Dr. Michael Makler) and 19G7 (purchased from Flow Inc., Portland, OR) developed for pLDH-based malaria diagnostic tests\n[16] were used as capture and detection antibodies, respectively (these monoclonal antibodies are now owned by AccessBio, Somerset, NJ). Biotinylation of 19G7 (10 μg/ml) was carried out using the EZ-Link Sulfo-NHS-LC-Biotinylation Kit (Pierce Biotechnology) following the standard protocols provided by the manufacturer. The 2-(4-hydroxyazobenzene) benzoic acid (HABA) assay also included in the EZ-Link Sulfo-NHS-LC-Biotinylation Kit was used for measuring the level of biotin incorporation per immunoglobulin molecule.\nThe ELISA technique described above was standardized from the DELI assay developed for P. falciparum with modifications\n[10]. Nunc MaxiSorp flat-bottom 96 well plates (Gibco) were coated with 100 μl of capture antibody 14C1 (10 μg/ml) and incubated at 4°C for 24 hours. Plates were washed with phosphate-buffered saline (PBS) 0.025% (v/v) Tween 20 (PBS/Tween) and blocked with 1% (w/v) Bovine Serum Albumin Fraction V (Roche) (PBS/BSA). After 24 hours of incubation at 4°C, the plates were washed, covered with plastic seals, refrigerated and used within a month.\nOnce the drug in vitro assays were performed, the plates were frozen/thawed three-times and the haemolyzed samples were homogenized. 100 μl of haemolyzed samples, undiluted and diluted (1:10, 1:50 and 1:100 in PBS), was transferred into the coated ELISA plates and incubated for 1 hour at 37°C. The plates were washed and 100 μl of a 1:4,000 dilution (2.5 × 10-3 μg/ml) of 19G7 biotinylated antibody was added. After 1 hour of incubation at 37°C, plates were washed and incubated for 30 minutes with 100 μl of a 1:10,000 dilution (0.125 μg/ml) of peroxidase-conjugated streptavidin preparation (1.25 mg/ml) (Pierce ). After the last wash, 100 μl of TMB (3,3´,5,5´-tetramentylbenzidine) (1-Step Ultra TMB-ELISA, Thermo Scientific) was added to the plate and incubated for 20 minutes at room temperature. The reaction was stopped by adding 100 μl of 2 M H2SO4 solution, and read at 450 nm in a μQuant micro-plate spectrophotometer (Bio-Tek Instruments).", "Initial ELISA assays aimed to evaluate the antibody recognition capability of PbAGFP samples and establish the optimal antibody concentrations to be used. ELISA assays were first conducted in uncultured and asynchronous parasites adjusted to 1% and 2.5% of parasitaemia and haematocrit, respectively. Initial coating plates concentrations (10, 50 and 100 μg/ml) of primary antibody (14C1) versus the secondary antibody (19G7) (1:1,000 [0.01 μg/ml] to 1:64,000 [1.56 × 10-4 μg/ml] two-fold dilution) were tested. These preliminary experiments showed that independently from the coating concentration used, dilutions of the secondary antibody below 1:6,000 (1.67 × 10-3 μg/ml) did not significantly differ in their antigen detection capability. Using a concentration of 10 μg/ml of 14C1 and a 1:4,000 dilution (2.5 × 10-3 μg/ml) of 19G7, the assay generated absorbance values of 2.7 (± 0.01) for infected samples and 1.2 (± 0.01) for negative controls: uninfected blood and complete RPMI media. Based on these preliminary results, next assays attempted to reduce the high absorbance values obtained for the negative controls. Simple modifications were performed: (i) reduced the haematocrit of the samples to 1%, (ii) supplemented the PBS used for washes with Tween-20 0.05%, (iii) and performed and extra wash at all ELISA steps (four in total). These basic protocol changes significantly reduced the absorbance from the negative controls from 1.2 (± 0.01) to 0.2 (± 0.02) whereas the infected samples still showed good detection levels (1.5 ± 0.3).\nParasite blood samples used in these preliminary tests were uncultured and asynchronous with different stages of the parasite producing different levels of pLDH. Since the in vitro drug method proposed here is based on the schizont maturation inhibition assay\n[2], next experiments were directed to evaluate the ELISA standardized conditions in late stages of PbAGFP. The P. berghei life cycle takes approximately 24 hours and under static in vitro culture conditions the asynchronous parasites from the mice infection develop into mature schizonts that do not burst in culture. Two different parasitaemias (0.5% and 1%) of cultured mature schizonts obtained after 22 hours of in vitro culture were evaluated in the ELISA assays. Since the absorbance expected for these stages was the highest\n[17], three different dilutions (1:2, 1:10 and 1:50 in PBS) of the samples were tested. The performance of the ELISAs using a 0.5% or 1% parasitaemia showed no critical differences and both worked well. At 0.5% parasitaemia, culture dilution 1:10 resulted in absorbance values in the range of 2.2 to 1.3 (1:2,000 [5.0 × 10-3 μg/ml] to 1:6,000 [1.67 × 10-3 μg/ml] secondary antibody dilution, respectively) (Figure\n1). At 1% parasitaemia, both 1:2 and 1:10 culture dilutions resulted in high absorbance values (between 4.0 and 2.6, except at 1:6,000 secondary antibody dilution, absorbance = 1.8). Signal-to-noise ratios at culture dilution 1:50 were not as good as dilution 1:10. It was concluded therefore that in cultures with 0.5% parasitaemia diluted 1:10, any of these 19G7 dilutions were appropriate. Dilution 1:4,000 (2.5 × 10-3 μg/ml) of 19G7 was selected for further use in this study as it provided a better signal-to-noise ratio than 1:6,000, and allowed using lower amount of secondary antibody than dilution 1:2,000. For cultures at 1% parasitaemia, the combination of 1:10 culture dilution with 19G7 dilution 1:6,000 would be appropriate as well. The use of different combinations does not seem to be critical for the assay, as long as the absorbance values fall within the non-saturation (non-plateau) range. As can be seen in Figure\n1, the plateau is far from being reached at 1:10 dilutions (that is, 1:2 dilutions still provide absorbance values well above those observed with 1:10 dilutions).\nEffect of sample dilution in pLDH detection – ELISA standardization. Vertical bars represent mean optical density (OD) values ± SD obtained from PbAGFP cultured schizonts at 0.5% or 1 % of parasitaemia and uninfected red blood cells (unRBC) at 1% of haematocrit. Grey and white bars represent schizonts culture at 1% and 0.5% of parasitaemia, respectively. Three different concentrations of 19G7 (secondary antibody) were tested (X-axis). Mean is derived from three independent assays.\nThe development of P. berghei in mice is relatively asynchronous and unsuitable for schizont inhibition assays, since most of the anti-malarial drugs are parasite stage-specific. In P. falciparum, synchronization can be easily performed by sorbitol treatment\n[18]. However due to alterations in the permeability of murine erythrocytes this procedure is less efficient in P. berghei[19]. A suitable alternative for P. berghei synchronization is the development of synchronous infections in mice. Following the procedures described by Janse and Waters\n[13], synchronized infections of PbA and PbAGFP were generated and followed by thin blood smears and/or flow cytometry (Figure\n2). PbAGFP express GFP throughout the whole life cycle and displays different GFP-fluorescence intensity during each stage\n[12] facilitating the analyses of mice synchronized infections by flow cytometry. As expected, asexual blood stages of PbAGFP with different parasite stages were found during the course of the infection (Figure\n2, histogram B). Once the parasites were collected from the mice and cultured overnight, a highly pure and concentrated population of mature schizonts was gathered through the use of the Nycodenz gradients (Figure\n2, histogram C). Collected schizonts (approximately 1 × 107) were then injected IV into mice and 30 hours post-infection a highly synchronized parasitaemia of 1-3% was observed (Figure\n2, histograms D to F). This procedure allowed the acquisition of the early stage parasite samples required for the conduction of the drug in vitro assays. This protocol was also useful for PbA (wild type, not expressing GFP) synchronization but parasite development was only followed by thin blood smears.\nFlow cytometry analyses of synchronized infections of P. berghei in C57BL/6 mice.A) Panel showing uninfected red blood cells (negative controls). B) Asexual blood-stages of PbAGFP from infected mice with normal day-night light regime. C) Highly fluorescent mature schizonts purified after 22 hours of in vitro culture used to generate synchronized P. berghei infections in mice. D) Rings, E) trophozoites and F) schizont-enriched populations from synchronized infections after one cycle of replication in mice. *hpi=hours post-infection.\nAfter having standardized the synchronized infections in mice, the next objective was to confirm the capability of the ELISA assay to detect pLDH activity throughout the different stages of the parasite life cycle in samples that were grown under the in vitro assay conditions. To do this, parasites from synchronized infections were collected in early stages of development (early trophozoites adjusted to 1% of haematocrit and 0.5% of parasitaemia) and short-cultured in 96-well plates. Incubation of plates was performed at 36.5°C in a desiccator plastic chamber filled with a sterile gas mixture (5% CO2, 5% O2, and 90% N2). Higher incubation temperatures (37°C and 37.5°C) were also tested but under these conditions parasites did not develop into mature schizonts and the presence of degenerated schizonts was common. Over the 22 hours of the incubation period parasite samples were collected at different time points in order to perform thin blood smears and the measurement of pLDH activity. In Figure\n3 it can be observed how pLDH levels increased as the parasite grew during the incubation time. Ring samples at time 0 of incubation had an initial OD value of 0.25 (± 0.02). After 4 hours of incubation, intracellular growth occurred, trophozoites predominated in the culture and the OD nearly doubled to 0.45 (± 0.02). Ten hours after the second sample was taken (schizonts) the OD reached 1.0 (± 0.06), with a slight increase at 18 hours. The OD remained stable until the end of the culture (22 hours) when fully mature schizonts with more than 8 nuclei were observed.\nRelationship between growth, stage development and pLDH optical density of synchronized cultures of P. berghei. Parasites were cultured under drug in vitro assay conditions without drug. Samples were collected and frozen at the different time points. Asterisks represent the mean and standard error of two different experiments. A picture of a mature schizont (usually containing 8–16 nuclei) collected at the end of the assay (hour 22) is also shown.\nThese simple growth tests confirmed that the short-culture conditions to be used in this in vitro assay supported well the parasite growth and the feasibility of this ELISA-based technique to detect it. These results also show that the maximal pLDH activity was generated when the parasites developed from early trophozoites into schizonts, which is consistent with previous reports in P. falciparum where the peak of L-lactate (product of pLDH activity) coincided with the beginning of the schizogony\n[17,20]. There was no significantly increase in pLDH values after 16 hours of incubation when nuclear division and merozoite formation start to occur. These findings indicate that this assay is appropriate to evaluate drugs that affect the parasite’s growth and maturation but not for drugs targeting DNA synthesis during schizogony. In addition, in the absence of an efficient long-term continuous culture of P. berghei[21,22] the drug in vitro assay proposed here is based on a single cycle. Therefore, this test is not suitable for the evaluation of drugs that have no apparent effect until division and reinvasion of new red blood cells by the daughter merozoites occur (delayed-death phenomenon described with antibacterial drugs in P. falciparum) and whose effect can only be estimated in the next developmental cycles\n[23]. For this kind of drugs, other in vitro assays for P. berghei based on DNA synthesis\n[5] and luciferase schizont-specific expression are available\n[6]. The recent report of a new in vitro culture technique for P. berghei that allows reinvasion of normal mouse red blood cells and continuous culture for over two weeks\n[24] might also overcome this limitation.\nFor the in vitro assays, early parasite stages (rings) obtained from synchronized infections were used. Parasites were incubated with the different concentrations of the anti-malarial drugs at 36.5°C for 22 hours. Slides confirming the fully maturation of healthy schizonts in the positive control wells were always performed at the end of each assay. Figure\n4 shows the absorbance recorded for positive and negative controls during the drug in vitro assays. Absorbance values of negative controls were 0.14 (± 0.03) and 0.10 (± 0.01) for uninfected red blood cells and complete RPMI media, respectively. The negative controls showed significantly lower absorbance (Fisher Exact Test, p = 0.0001) than infected samples, regardless of the time of collection. Infected samples at time zero of growth also showed low absorbance values (0.3 ± 0.10), as expected for early stages, but significantly doubled (Fisher Exact Test, p = 0.0001) the OD values of the negative controls. After 22 hours of incubation, the samples from time zero of growth tripled their absorbance values to 1.1 (± 0.2 SD). These results clearly show the suitability of the antibodies to for P. berghei detection.\nOptical density readings from drug in vitro assay controls. pLDH OD values for negative controls: complete RMPI media (cRPMI, N = 9 wells), uninfected red blood cells (unRBCs, N = 45 wells) and positive controls (N = 84 wells): infected red blood cells without drug collected at time zero of incubation (T0) and after finished the assay (22h). Wells from different assays were plotted together and at least three independent assays were performed per each group. Values are displayed in box plots, means and outliers are represented by solid crosses and black circles, respectively.\nThe in vitro response of P. berghei to common anti-malarial drugs can be observed in Figure\n5. Since no differences between the IC50s values of the wild type (PbA) and the transgenic line (PbAGFP) were observed, curves for both parasites were plotted together. The IC50 of chloroquine and artesunate was also investigated for PbAGFP using the micro-test\n[2] with similar results for both techniques (Figure\n5). The IC50 values for artesunate obtained in this work (15 nM) are in accordance with previous reports for this species\n[5,6]. Janse et al.[5] developed and in vitro assay for P. berghei analyzing the amount of parasite DNA through Hoechst staining and flow cytometry and reported IC50 values for artesunate of 11 nM. More recently, the same group developed another anti-malarial drug screening in vitro assay using a transgenic line of P. berghei expressing luciferase\n[6]. Through this highly sensitive technique, the recorded IC50 values of artesunate ranged from 4 to 26 nM. IC50 values for chloroquine in sensitive P. berghei strains have also been described through the use of the different techniques. Early reports of IC50s for chloroquine sensitive lines (NK65 strain) using the radioisotopic assay ranged between 155 nM\n[25] and 230 nM\n[3]. A report in another murine Plasmodium species Plasmodium chabaudi described an IC50 value of chloroquine of 30 nM using the radioisotopic technique\n[26]. More recently, IC50 values of 30 nM were also described in P. berghei using the luciferase assay\n[6]. In the present study, the IC50s values for chloroquine sensitive lines (PbA and PbAGFP) were 7 nM and 20 nM using the pLDH ELISA and the micro-test, respectively (Figure\n5); both values are within the range of IC50 values described for sensitive chloroquine strains of Plasmodium in rodents\n[3,6,25,26] and similar to those reported in P. falciparum[10,27-30] and Plasmodium vivax[24,31]. The reports of IC50s for amodiaquine and quinine in P. berghei are more restricted, mainly derived from the radioisotopic assays: 430 nM and 1500 nM, respectively\n[3]; another study showed an IC50 of 210 nM for quinine-HCL using again the radioisotopic technique\n[25]. In this work was found that P. berghei ANKA lines were sensitive to amodiaquine (IC50 of 2nM) and quinine (IC50 of 144 nM). These values have been also described in sensitive strains of P. falciparum[10,27-30] and P. vivax[32]. However, comparison of in vitro IC50 data among different Plasmodium species should be cautiously made and was not the purpose of the present study. Comparisons of these results, with previous reports in P. berghei can be also limited since available IC50s have been obtained through different techniques and conducted with different strains, hosts, drug dilution protocols and under diverse parameters of parasitaemia and haematocrit that can influence the IC50 results\n[27]; moreover early in vitro assays described in P. berghei were usually conducted without synchronization procedures\n[3,25,26].\nIn vitro susceptibility of P. berghei to different anti-malarial drugs. Inhibition of schizont maturation by amodiaquine (squares), chloroquine (solid circles), artesunate (solid triangles) and quinine (asterisks). Curves derived from micro-test assays are displayed as dashed lines and open symbols. Each point represents the mean and the standard error of at least three independent assays for PbA and PbAGFP. The IC50 values and standard error of the media are shown in the legend.\nThis ELISA method provides a simple procedure to determine IC50s for anti-malarial drugs in vitro using P. berghei. Since studies focusing on the identification of novel drugs often involve the testing of the in vivo efficacy of drug candidates in small animal (rodent) models of malaria, the availability of simple assays to determine the in vitro drug-sensitivity of rodent parasites is useful. Specifically, this assay may help to determine whether a discrepancy between in vitro P. falciparum drug-sensitivity and in vivo rodent parasite drug-sensitivity is the result of intrinsic differences between the two parasite species or may be due to pharmacokinetic or pharmacodynamic characteristics of the drug in a live animal.", "In this study, the development of an ELISA-based in vitro drug assay for P. berghei is reported. This technique is easy to implement, fast (less than 3 hours), safe (avoids the use of radioisotopes) and economical (not requiring expensive equipment such as beta counters, flow cytometers or luminometers). Although the development of synchronized infections in mice is time consuming, this is a straightforward procedure which can be easily implemented in laboratories working with murine models. This in vitro assay represents a robust and useful alternative for the screening of new anti-malarial compounds in the mouse model of P. berghei.", "WHO: World Health Organization; LDH: Lactate dehydrogenase; pLDH: Parasite Lactate dehydrogenase; ELISA: Enzyme-linked immunosorbent assay; IP: Intraperitoneally; PbA: Plasmodium berghei ANKA, PbAGFP, Plasmodium berghei ANKA GFP; MR4: Malaria Research and Reference Reagent Resource Center; NIH: National Institutes of Health; PBS: Phosphate buffered saline; RPMI: Roswell Park Memorial Institute; IV: Intravenously; OD: Optical density; IC50: Half maximal inhibitory concentration; SD: Standard deviation; HABA: 4'-hydroxyazobenzene-2-carboxylic acid; DELI: Double-site enzyme-linked lactate dehydrogenase immunodetection assay; BSA: Bovine serum albumin; TMB: 3,3',5,5'-tetramethybenzidine; unRBC: Uninfected red blood cell; cRMPI: Complete RMPI media.", "Authors do not have any competing interests.", "The work was carried out in collaboration between all authors. POS and LJMC designed experiments. POS carried out the laboratory experiments, analysed the data, interpreted the results and wrote the manuscript. ED assisted in FACS experiments and FCS Express software analyses. LJMC conceived the study, interpreted results and revised the manuscript. JAF and JN discussed the results and revised the manuscript. All authors have approved the final manuscript." ]
[ null, "methods", null, null, null, null, "conclusions", null, null, null ]
[ "\nPlasmodium berghei\n", "In vitro culture", "schizont", "synchronized infection", "drug in vitro assay", "anti-malarials", "IC50 values", "\nlactate dehydrogenase\n", "ELISA" ]
Background: Murine malaria models have contributed to the understanding of the biology and pathology of human malarias. Although the immune system and drug pharmacokinetics between humans and rodents may be different, the drug sensitivity profile between these Plasmodium species is mostly shared. Drug efficacy studies in small rodents have been mainly performed in vivo using different strains of Plasmodium berghei and the classical four-day suppressive test [1]. The use and development of in vitro techniques for anti-malarial drug-screening in P. berghei has been less prominent, especially when compared with the variety of in vitro assays described for Plasmodium falciparum. In vitro assays are complementary to in vivo tests, and in P. berghei some advantages of the in vitro assays include: i) the measurement of intrinsic anti-malarial activity, excluding confounding factors from the host such as the immune system; ii) the evaluation of larger number of compounds in one experiment with possible prediction of an in vivo outcome, and iii) the identification of discrepancies in the sensitivity profiles of P. berghei and P. falciparum. Different drug in vitro assays have been adapted and developed for P. berghei. These assays include: the WHO schizont maturation test (micro-test) [2], the radioisotopic assay [3] and the measurement of parasite nucleic acids using fluorescent dyes and flow cytometry [4,5]. More recently, a luminescence assay using a transgenic line of P. berghei expressing luciferase was also developed [6]. These techniques can be limited by labour-intensive steps, disposal of radioactive waste and high costs. Early studies of the metabolic pathways of Plasmodium led to the identification of enzymes structurally different from the host, such as lactate dehydrogenase (LDH) [7]. Plasmodium parasites require intense LDH activity to ensure the high metabolism of carbohydrates during the complex intraerythrocytic cycle [8]. These singularities pointed to parasite LDH (pLDH) detection as a good target for the development of colorimetric [9] and ELISA [10] based drug in vitro assays for P. falciparum. The aim of this study was to develop an in vitro enzyme-linked immunosorbent drug assay for P. berghei, using two monoclonal antibodies against pLDH and the semi-automated micro-dilution technique [11]. This in vitro susceptibility test starts with P. berghei mouse infections followed by a short in vitro culture and a synchronization procedure to generate the P. berghei samples to be evaluated in the drug in vitro assays. The measurement of drug activity is derived from the relative amount of P. berghei LDH (estimated by ELISA) as a function of the drug concentration. Methods: Short-term parasite in vitro culture and synchronization 13-week old C57BL/6 (The Jackson Laboratory, Sacramento, CA) mice were infected intraperitoneally (IP) with 1 × 103P. berghei ANKA (PbA) or P. berghei ANKA expressing GFP (PbAGFP) [12] (a donation from the Malaria Research and Reference Reagent Resource Center (MR4), Manassas, VA; deposited by MF Wiser and M Hollingdale and CJ Janse and AP Waters, respectively; MR4 number: MRA-671 and MRA-865). At a parasitaemia of 2 - 3%, mice were anesthetized (ketamine, 150 mg/kg and xylazine, 10 mg/kg) and 0.5 ml of blood was collected by retro-orbital puncture, after which mice were euthanized by an IP injection of Euthasol (100mg/kg). Animal handling and care followed the NIH Guide for Care and Use of Laboratory Animals. All protocols were approved by the La Jolla Bioengineering Institutional Animal Care and Use Committee. Infected heparinized blood samples were washed twice in phosphate-buffered saline (PBS) solution and cultured in media RPMI 1640 (Gibco, Life Technologies) supplemented with 20% inactivated fetal bovine serum (complete RMPI) following the procedures described by Janse and Waters [13]. Cultures were flushed with a standard gas mixture of 5% O2, 5% CO2, 90% N2 and incubated for 22 hours at 36.5°C. Purification of fully mature schizonts from uninfected red blood cells or younger parasites’ stages was performed following the protocol described by Janse et al.[14] with some modifications. Briefly, 25 ml of the overnight parasite culture was transferred to a 50 ml falcon tube (Becton, Dickinson) and 8 ml of 55% Nycodenz (v/v, PBS) was added to the bottom of the tube. Tubes were centrifuged at 450 g in a swing-out rotor for 30 minutes without brake. After centrifugation, the visible suspended brown ring containing mostly mature schizonts was carefully collected into another falcon tube. Schizonts were washed in complete RPMI media, resuspended in 100 μl of PBS and injected intravenously (IV) into the pre-warmed tails of 13-week old C57BL/6 mice. Between 48 to 72 hours post-infection, an optimal synchronized parasitaemia of 1 to 3% was reached. Mice were anesthetized as previously described and parasite blood samples were collected. To adjust the parasitaemia and haematocrit for the in vitro assay samples, a pool of blood from uninfected mice was also gathered. Mice parasitaemia and synchronized infections of P. berghei were analysed by flow cytometry and Hemacolor (Merck) stained thin blood smears. Tail blood samples from infected and uninfected mice were diluted 100-times in PBS, and subsequently acquired in a FACSCalibur cytometer (Becton Dickinson). Samples were excited using a 488 nm argon laser and GFP emission was detected with a 530/30 nm band pass filter. FCS Express (De novo Software) was used for all flow cytometry analyses by first gating for intact erythrocytes by side scatter and forward scatter parameters, and subsequently determining the proportion of GFP positive cells. The fluorescence intensity and the forward-scattered light of at least 10,000 cells per sample were measured. A negative control sample from an uninfected mouse was tested in parallel to define the threshold of positivity for the parasitaemia. 13-week old C57BL/6 (The Jackson Laboratory, Sacramento, CA) mice were infected intraperitoneally (IP) with 1 × 103P. berghei ANKA (PbA) or P. berghei ANKA expressing GFP (PbAGFP) [12] (a donation from the Malaria Research and Reference Reagent Resource Center (MR4), Manassas, VA; deposited by MF Wiser and M Hollingdale and CJ Janse and AP Waters, respectively; MR4 number: MRA-671 and MRA-865). At a parasitaemia of 2 - 3%, mice were anesthetized (ketamine, 150 mg/kg and xylazine, 10 mg/kg) and 0.5 ml of blood was collected by retro-orbital puncture, after which mice were euthanized by an IP injection of Euthasol (100mg/kg). Animal handling and care followed the NIH Guide for Care and Use of Laboratory Animals. All protocols were approved by the La Jolla Bioengineering Institutional Animal Care and Use Committee. Infected heparinized blood samples were washed twice in phosphate-buffered saline (PBS) solution and cultured in media RPMI 1640 (Gibco, Life Technologies) supplemented with 20% inactivated fetal bovine serum (complete RMPI) following the procedures described by Janse and Waters [13]. Cultures were flushed with a standard gas mixture of 5% O2, 5% CO2, 90% N2 and incubated for 22 hours at 36.5°C. Purification of fully mature schizonts from uninfected red blood cells or younger parasites’ stages was performed following the protocol described by Janse et al.[14] with some modifications. Briefly, 25 ml of the overnight parasite culture was transferred to a 50 ml falcon tube (Becton, Dickinson) and 8 ml of 55% Nycodenz (v/v, PBS) was added to the bottom of the tube. Tubes were centrifuged at 450 g in a swing-out rotor for 30 minutes without brake. After centrifugation, the visible suspended brown ring containing mostly mature schizonts was carefully collected into another falcon tube. Schizonts were washed in complete RPMI media, resuspended in 100 μl of PBS and injected intravenously (IV) into the pre-warmed tails of 13-week old C57BL/6 mice. Between 48 to 72 hours post-infection, an optimal synchronized parasitaemia of 1 to 3% was reached. Mice were anesthetized as previously described and parasite blood samples were collected. To adjust the parasitaemia and haematocrit for the in vitro assay samples, a pool of blood from uninfected mice was also gathered. Mice parasitaemia and synchronized infections of P. berghei were analysed by flow cytometry and Hemacolor (Merck) stained thin blood smears. Tail blood samples from infected and uninfected mice were diluted 100-times in PBS, and subsequently acquired in a FACSCalibur cytometer (Becton Dickinson). Samples were excited using a 488 nm argon laser and GFP emission was detected with a 530/30 nm band pass filter. FCS Express (De novo Software) was used for all flow cytometry analyses by first gating for intact erythrocytes by side scatter and forward scatter parameters, and subsequently determining the proportion of GFP positive cells. The fluorescence intensity and the forward-scattered light of at least 10,000 cells per sample were measured. A negative control sample from an uninfected mouse was tested in parallel to define the threshold of positivity for the parasitaemia. Drug in vitro assays The anti-malarial drugs evaluated in the in vitro assays were: chloroquine diphosphate salt, amodiaquine dihydrochloride dihydrate, quinine hydrochloride dihydrate and artesunate (all from Sigma-Aldrich). The drugs were diluted in ethanol 70% (v/v, ultrapure water) with the exception of chloroquine that was diluted in ultrapure water. The stock solutions of each drug were used to prepare two-fold dilution series in complete RPMI medium. The dilutions ranging from: 3.8-240 nM chloroquine, 1–65 nM amodiaquine, 50–3150 nM quinine-HCL and 0.6-40 nM artesunate were distributed (25 μl per well) in 96-well plates (Corning, Life Science) where the drug in vitro assays were performed. Uninfected and infected red blood cells containing primarily early trophozoites were washed twice in PBS prior to use in the in vitro assays. Infected red blood cells were diluted in complete RPMI medium to a final parasitaemia of 0.5% and 1% of haematocrit and dispensed (225 μl per well) into the pre-dose drug plates. In each experiment, wells with uninfected and infected red blood cells without drug were included as negative and positive controls of growth, respectively. In addition, aliquots from the positive controls were frozen immediately in order to assess pLDH activity at time zero of incubation. The drug in vitro plates were incubated in gas atmosphere of 5% CO2, 5% O2, and 90% N2 at 36.5°C for 22 to 24 hours. At the end of the incubation period, thin blood smears of positive controls were performed to confirm the presence of mature schizonts (with 8 to 16 merozoites). The drug concentrations that inhibited 50% of parasite growth (measured by optical densities – ODs in the ELISA assays) compared to the control samples without drug (IC50s) were calculated using HN-NonLin [15]. Drug-response curves were plotted in GraphPad Prism. Data were expressed as mean ± standard deviation (SD), unless otherwise indicated. The anti-malarial drugs evaluated in the in vitro assays were: chloroquine diphosphate salt, amodiaquine dihydrochloride dihydrate, quinine hydrochloride dihydrate and artesunate (all from Sigma-Aldrich). The drugs were diluted in ethanol 70% (v/v, ultrapure water) with the exception of chloroquine that was diluted in ultrapure water. The stock solutions of each drug were used to prepare two-fold dilution series in complete RPMI medium. The dilutions ranging from: 3.8-240 nM chloroquine, 1–65 nM amodiaquine, 50–3150 nM quinine-HCL and 0.6-40 nM artesunate were distributed (25 μl per well) in 96-well plates (Corning, Life Science) where the drug in vitro assays were performed. Uninfected and infected red blood cells containing primarily early trophozoites were washed twice in PBS prior to use in the in vitro assays. Infected red blood cells were diluted in complete RPMI medium to a final parasitaemia of 0.5% and 1% of haematocrit and dispensed (225 μl per well) into the pre-dose drug plates. In each experiment, wells with uninfected and infected red blood cells without drug were included as negative and positive controls of growth, respectively. In addition, aliquots from the positive controls were frozen immediately in order to assess pLDH activity at time zero of incubation. The drug in vitro plates were incubated in gas atmosphere of 5% CO2, 5% O2, and 90% N2 at 36.5°C for 22 to 24 hours. At the end of the incubation period, thin blood smears of positive controls were performed to confirm the presence of mature schizonts (with 8 to 16 merozoites). The drug concentrations that inhibited 50% of parasite growth (measured by optical densities – ODs in the ELISA assays) compared to the control samples without drug (IC50s) were calculated using HN-NonLin [15]. Drug-response curves were plotted in GraphPad Prism. Data were expressed as mean ± standard deviation (SD), unless otherwise indicated. Enzyme-linked immunosorbent assay Monoclonal antibodies 14C1 (a kind donation of Dr. Michael Makler) and 19G7 (purchased from Flow Inc., Portland, OR) developed for pLDH-based malaria diagnostic tests [16] were used as capture and detection antibodies, respectively (these monoclonal antibodies are now owned by AccessBio, Somerset, NJ). Biotinylation of 19G7 (10 μg/ml) was carried out using the EZ-Link Sulfo-NHS-LC-Biotinylation Kit (Pierce Biotechnology) following the standard protocols provided by the manufacturer. The 2-(4-hydroxyazobenzene) benzoic acid (HABA) assay also included in the EZ-Link Sulfo-NHS-LC-Biotinylation Kit was used for measuring the level of biotin incorporation per immunoglobulin molecule. The ELISA technique described above was standardized from the DELI assay developed for P. falciparum with modifications [10]. Nunc MaxiSorp flat-bottom 96 well plates (Gibco) were coated with 100 μl of capture antibody 14C1 (10 μg/ml) and incubated at 4°C for 24 hours. Plates were washed with phosphate-buffered saline (PBS) 0.025% (v/v) Tween 20 (PBS/Tween) and blocked with 1% (w/v) Bovine Serum Albumin Fraction V (Roche) (PBS/BSA). After 24 hours of incubation at 4°C, the plates were washed, covered with plastic seals, refrigerated and used within a month. Once the drug in vitro assays were performed, the plates were frozen/thawed three-times and the haemolyzed samples were homogenized. 100 μl of haemolyzed samples, undiluted and diluted (1:10, 1:50 and 1:100 in PBS), was transferred into the coated ELISA plates and incubated for 1 hour at 37°C. The plates were washed and 100 μl of a 1:4,000 dilution (2.5 × 10-3 μg/ml) of 19G7 biotinylated antibody was added. After 1 hour of incubation at 37°C, plates were washed and incubated for 30 minutes with 100 μl of a 1:10,000 dilution (0.125 μg/ml) of peroxidase-conjugated streptavidin preparation (1.25 mg/ml) (Pierce ). After the last wash, 100 μl of TMB (3,3´,5,5´-tetramentylbenzidine) (1-Step Ultra TMB-ELISA, Thermo Scientific) was added to the plate and incubated for 20 minutes at room temperature. The reaction was stopped by adding 100 μl of 2 M H2SO4 solution, and read at 450 nm in a μQuant micro-plate spectrophotometer (Bio-Tek Instruments). Monoclonal antibodies 14C1 (a kind donation of Dr. Michael Makler) and 19G7 (purchased from Flow Inc., Portland, OR) developed for pLDH-based malaria diagnostic tests [16] were used as capture and detection antibodies, respectively (these monoclonal antibodies are now owned by AccessBio, Somerset, NJ). Biotinylation of 19G7 (10 μg/ml) was carried out using the EZ-Link Sulfo-NHS-LC-Biotinylation Kit (Pierce Biotechnology) following the standard protocols provided by the manufacturer. The 2-(4-hydroxyazobenzene) benzoic acid (HABA) assay also included in the EZ-Link Sulfo-NHS-LC-Biotinylation Kit was used for measuring the level of biotin incorporation per immunoglobulin molecule. The ELISA technique described above was standardized from the DELI assay developed for P. falciparum with modifications [10]. Nunc MaxiSorp flat-bottom 96 well plates (Gibco) were coated with 100 μl of capture antibody 14C1 (10 μg/ml) and incubated at 4°C for 24 hours. Plates were washed with phosphate-buffered saline (PBS) 0.025% (v/v) Tween 20 (PBS/Tween) and blocked with 1% (w/v) Bovine Serum Albumin Fraction V (Roche) (PBS/BSA). After 24 hours of incubation at 4°C, the plates were washed, covered with plastic seals, refrigerated and used within a month. Once the drug in vitro assays were performed, the plates were frozen/thawed three-times and the haemolyzed samples were homogenized. 100 μl of haemolyzed samples, undiluted and diluted (1:10, 1:50 and 1:100 in PBS), was transferred into the coated ELISA plates and incubated for 1 hour at 37°C. The plates were washed and 100 μl of a 1:4,000 dilution (2.5 × 10-3 μg/ml) of 19G7 biotinylated antibody was added. After 1 hour of incubation at 37°C, plates were washed and incubated for 30 minutes with 100 μl of a 1:10,000 dilution (0.125 μg/ml) of peroxidase-conjugated streptavidin preparation (1.25 mg/ml) (Pierce ). After the last wash, 100 μl of TMB (3,3´,5,5´-tetramentylbenzidine) (1-Step Ultra TMB-ELISA, Thermo Scientific) was added to the plate and incubated for 20 minutes at room temperature. The reaction was stopped by adding 100 μl of 2 M H2SO4 solution, and read at 450 nm in a μQuant micro-plate spectrophotometer (Bio-Tek Instruments). Short-term parasite in vitro culture and synchronization: 13-week old C57BL/6 (The Jackson Laboratory, Sacramento, CA) mice were infected intraperitoneally (IP) with 1 × 103P. berghei ANKA (PbA) or P. berghei ANKA expressing GFP (PbAGFP) [12] (a donation from the Malaria Research and Reference Reagent Resource Center (MR4), Manassas, VA; deposited by MF Wiser and M Hollingdale and CJ Janse and AP Waters, respectively; MR4 number: MRA-671 and MRA-865). At a parasitaemia of 2 - 3%, mice were anesthetized (ketamine, 150 mg/kg and xylazine, 10 mg/kg) and 0.5 ml of blood was collected by retro-orbital puncture, after which mice were euthanized by an IP injection of Euthasol (100mg/kg). Animal handling and care followed the NIH Guide for Care and Use of Laboratory Animals. All protocols were approved by the La Jolla Bioengineering Institutional Animal Care and Use Committee. Infected heparinized blood samples were washed twice in phosphate-buffered saline (PBS) solution and cultured in media RPMI 1640 (Gibco, Life Technologies) supplemented with 20% inactivated fetal bovine serum (complete RMPI) following the procedures described by Janse and Waters [13]. Cultures were flushed with a standard gas mixture of 5% O2, 5% CO2, 90% N2 and incubated for 22 hours at 36.5°C. Purification of fully mature schizonts from uninfected red blood cells or younger parasites’ stages was performed following the protocol described by Janse et al.[14] with some modifications. Briefly, 25 ml of the overnight parasite culture was transferred to a 50 ml falcon tube (Becton, Dickinson) and 8 ml of 55% Nycodenz (v/v, PBS) was added to the bottom of the tube. Tubes were centrifuged at 450 g in a swing-out rotor for 30 minutes without brake. After centrifugation, the visible suspended brown ring containing mostly mature schizonts was carefully collected into another falcon tube. Schizonts were washed in complete RPMI media, resuspended in 100 μl of PBS and injected intravenously (IV) into the pre-warmed tails of 13-week old C57BL/6 mice. Between 48 to 72 hours post-infection, an optimal synchronized parasitaemia of 1 to 3% was reached. Mice were anesthetized as previously described and parasite blood samples were collected. To adjust the parasitaemia and haematocrit for the in vitro assay samples, a pool of blood from uninfected mice was also gathered. Mice parasitaemia and synchronized infections of P. berghei were analysed by flow cytometry and Hemacolor (Merck) stained thin blood smears. Tail blood samples from infected and uninfected mice were diluted 100-times in PBS, and subsequently acquired in a FACSCalibur cytometer (Becton Dickinson). Samples were excited using a 488 nm argon laser and GFP emission was detected with a 530/30 nm band pass filter. FCS Express (De novo Software) was used for all flow cytometry analyses by first gating for intact erythrocytes by side scatter and forward scatter parameters, and subsequently determining the proportion of GFP positive cells. The fluorescence intensity and the forward-scattered light of at least 10,000 cells per sample were measured. A negative control sample from an uninfected mouse was tested in parallel to define the threshold of positivity for the parasitaemia. Drug in vitro assays: The anti-malarial drugs evaluated in the in vitro assays were: chloroquine diphosphate salt, amodiaquine dihydrochloride dihydrate, quinine hydrochloride dihydrate and artesunate (all from Sigma-Aldrich). The drugs were diluted in ethanol 70% (v/v, ultrapure water) with the exception of chloroquine that was diluted in ultrapure water. The stock solutions of each drug were used to prepare two-fold dilution series in complete RPMI medium. The dilutions ranging from: 3.8-240 nM chloroquine, 1–65 nM amodiaquine, 50–3150 nM quinine-HCL and 0.6-40 nM artesunate were distributed (25 μl per well) in 96-well plates (Corning, Life Science) where the drug in vitro assays were performed. Uninfected and infected red blood cells containing primarily early trophozoites were washed twice in PBS prior to use in the in vitro assays. Infected red blood cells were diluted in complete RPMI medium to a final parasitaemia of 0.5% and 1% of haematocrit and dispensed (225 μl per well) into the pre-dose drug plates. In each experiment, wells with uninfected and infected red blood cells without drug were included as negative and positive controls of growth, respectively. In addition, aliquots from the positive controls were frozen immediately in order to assess pLDH activity at time zero of incubation. The drug in vitro plates were incubated in gas atmosphere of 5% CO2, 5% O2, and 90% N2 at 36.5°C for 22 to 24 hours. At the end of the incubation period, thin blood smears of positive controls were performed to confirm the presence of mature schizonts (with 8 to 16 merozoites). The drug concentrations that inhibited 50% of parasite growth (measured by optical densities – ODs in the ELISA assays) compared to the control samples without drug (IC50s) were calculated using HN-NonLin [15]. Drug-response curves were plotted in GraphPad Prism. Data were expressed as mean ± standard deviation (SD), unless otherwise indicated. Enzyme-linked immunosorbent assay: Monoclonal antibodies 14C1 (a kind donation of Dr. Michael Makler) and 19G7 (purchased from Flow Inc., Portland, OR) developed for pLDH-based malaria diagnostic tests [16] were used as capture and detection antibodies, respectively (these monoclonal antibodies are now owned by AccessBio, Somerset, NJ). Biotinylation of 19G7 (10 μg/ml) was carried out using the EZ-Link Sulfo-NHS-LC-Biotinylation Kit (Pierce Biotechnology) following the standard protocols provided by the manufacturer. The 2-(4-hydroxyazobenzene) benzoic acid (HABA) assay also included in the EZ-Link Sulfo-NHS-LC-Biotinylation Kit was used for measuring the level of biotin incorporation per immunoglobulin molecule. The ELISA technique described above was standardized from the DELI assay developed for P. falciparum with modifications [10]. Nunc MaxiSorp flat-bottom 96 well plates (Gibco) were coated with 100 μl of capture antibody 14C1 (10 μg/ml) and incubated at 4°C for 24 hours. Plates were washed with phosphate-buffered saline (PBS) 0.025% (v/v) Tween 20 (PBS/Tween) and blocked with 1% (w/v) Bovine Serum Albumin Fraction V (Roche) (PBS/BSA). After 24 hours of incubation at 4°C, the plates were washed, covered with plastic seals, refrigerated and used within a month. Once the drug in vitro assays were performed, the plates were frozen/thawed three-times and the haemolyzed samples were homogenized. 100 μl of haemolyzed samples, undiluted and diluted (1:10, 1:50 and 1:100 in PBS), was transferred into the coated ELISA plates and incubated for 1 hour at 37°C. The plates were washed and 100 μl of a 1:4,000 dilution (2.5 × 10-3 μg/ml) of 19G7 biotinylated antibody was added. After 1 hour of incubation at 37°C, plates were washed and incubated for 30 minutes with 100 μl of a 1:10,000 dilution (0.125 μg/ml) of peroxidase-conjugated streptavidin preparation (1.25 mg/ml) (Pierce ). After the last wash, 100 μl of TMB (3,3´,5,5´-tetramentylbenzidine) (1-Step Ultra TMB-ELISA, Thermo Scientific) was added to the plate and incubated for 20 minutes at room temperature. The reaction was stopped by adding 100 μl of 2 M H2SO4 solution, and read at 450 nm in a μQuant micro-plate spectrophotometer (Bio-Tek Instruments). Results and discussion: Initial ELISA assays aimed to evaluate the antibody recognition capability of PbAGFP samples and establish the optimal antibody concentrations to be used. ELISA assays were first conducted in uncultured and asynchronous parasites adjusted to 1% and 2.5% of parasitaemia and haematocrit, respectively. Initial coating plates concentrations (10, 50 and 100 μg/ml) of primary antibody (14C1) versus the secondary antibody (19G7) (1:1,000 [0.01 μg/ml] to 1:64,000 [1.56 × 10-4 μg/ml] two-fold dilution) were tested. These preliminary experiments showed that independently from the coating concentration used, dilutions of the secondary antibody below 1:6,000 (1.67 × 10-3 μg/ml) did not significantly differ in their antigen detection capability. Using a concentration of 10 μg/ml of 14C1 and a 1:4,000 dilution (2.5 × 10-3 μg/ml) of 19G7, the assay generated absorbance values of 2.7 (± 0.01) for infected samples and 1.2 (± 0.01) for negative controls: uninfected blood and complete RPMI media. Based on these preliminary results, next assays attempted to reduce the high absorbance values obtained for the negative controls. Simple modifications were performed: (i) reduced the haematocrit of the samples to 1%, (ii) supplemented the PBS used for washes with Tween-20 0.05%, (iii) and performed and extra wash at all ELISA steps (four in total). These basic protocol changes significantly reduced the absorbance from the negative controls from 1.2 (± 0.01) to 0.2 (± 0.02) whereas the infected samples still showed good detection levels (1.5 ± 0.3). Parasite blood samples used in these preliminary tests were uncultured and asynchronous with different stages of the parasite producing different levels of pLDH. Since the in vitro drug method proposed here is based on the schizont maturation inhibition assay [2], next experiments were directed to evaluate the ELISA standardized conditions in late stages of PbAGFP. The P. berghei life cycle takes approximately 24 hours and under static in vitro culture conditions the asynchronous parasites from the mice infection develop into mature schizonts that do not burst in culture. Two different parasitaemias (0.5% and 1%) of cultured mature schizonts obtained after 22 hours of in vitro culture were evaluated in the ELISA assays. Since the absorbance expected for these stages was the highest [17], three different dilutions (1:2, 1:10 and 1:50 in PBS) of the samples were tested. The performance of the ELISAs using a 0.5% or 1% parasitaemia showed no critical differences and both worked well. At 0.5% parasitaemia, culture dilution 1:10 resulted in absorbance values in the range of 2.2 to 1.3 (1:2,000 [5.0 × 10-3 μg/ml] to 1:6,000 [1.67 × 10-3 μg/ml] secondary antibody dilution, respectively) (Figure 1). At 1% parasitaemia, both 1:2 and 1:10 culture dilutions resulted in high absorbance values (between 4.0 and 2.6, except at 1:6,000 secondary antibody dilution, absorbance = 1.8). Signal-to-noise ratios at culture dilution 1:50 were not as good as dilution 1:10. It was concluded therefore that in cultures with 0.5% parasitaemia diluted 1:10, any of these 19G7 dilutions were appropriate. Dilution 1:4,000 (2.5 × 10-3 μg/ml) of 19G7 was selected for further use in this study as it provided a better signal-to-noise ratio than 1:6,000, and allowed using lower amount of secondary antibody than dilution 1:2,000. For cultures at 1% parasitaemia, the combination of 1:10 culture dilution with 19G7 dilution 1:6,000 would be appropriate as well. The use of different combinations does not seem to be critical for the assay, as long as the absorbance values fall within the non-saturation (non-plateau) range. As can be seen in Figure 1, the plateau is far from being reached at 1:10 dilutions (that is, 1:2 dilutions still provide absorbance values well above those observed with 1:10 dilutions). Effect of sample dilution in pLDH detection – ELISA standardization. Vertical bars represent mean optical density (OD) values ± SD obtained from PbAGFP cultured schizonts at 0.5% or 1 % of parasitaemia and uninfected red blood cells (unRBC) at 1% of haematocrit. Grey and white bars represent schizonts culture at 1% and 0.5% of parasitaemia, respectively. Three different concentrations of 19G7 (secondary antibody) were tested (X-axis). Mean is derived from three independent assays. The development of P. berghei in mice is relatively asynchronous and unsuitable for schizont inhibition assays, since most of the anti-malarial drugs are parasite stage-specific. In P. falciparum, synchronization can be easily performed by sorbitol treatment [18]. However due to alterations in the permeability of murine erythrocytes this procedure is less efficient in P. berghei[19]. A suitable alternative for P. berghei synchronization is the development of synchronous infections in mice. Following the procedures described by Janse and Waters [13], synchronized infections of PbA and PbAGFP were generated and followed by thin blood smears and/or flow cytometry (Figure 2). PbAGFP express GFP throughout the whole life cycle and displays different GFP-fluorescence intensity during each stage [12] facilitating the analyses of mice synchronized infections by flow cytometry. As expected, asexual blood stages of PbAGFP with different parasite stages were found during the course of the infection (Figure 2, histogram B). Once the parasites were collected from the mice and cultured overnight, a highly pure and concentrated population of mature schizonts was gathered through the use of the Nycodenz gradients (Figure 2, histogram C). Collected schizonts (approximately 1 × 107) were then injected IV into mice and 30 hours post-infection a highly synchronized parasitaemia of 1-3% was observed (Figure 2, histograms D to F). This procedure allowed the acquisition of the early stage parasite samples required for the conduction of the drug in vitro assays. This protocol was also useful for PbA (wild type, not expressing GFP) synchronization but parasite development was only followed by thin blood smears. Flow cytometry analyses of synchronized infections of P. berghei in C57BL/6 mice.A) Panel showing uninfected red blood cells (negative controls). B) Asexual blood-stages of PbAGFP from infected mice with normal day-night light regime. C) Highly fluorescent mature schizonts purified after 22 hours of in vitro culture used to generate synchronized P. berghei infections in mice. D) Rings, E) trophozoites and F) schizont-enriched populations from synchronized infections after one cycle of replication in mice. *hpi=hours post-infection. After having standardized the synchronized infections in mice, the next objective was to confirm the capability of the ELISA assay to detect pLDH activity throughout the different stages of the parasite life cycle in samples that were grown under the in vitro assay conditions. To do this, parasites from synchronized infections were collected in early stages of development (early trophozoites adjusted to 1% of haematocrit and 0.5% of parasitaemia) and short-cultured in 96-well plates. Incubation of plates was performed at 36.5°C in a desiccator plastic chamber filled with a sterile gas mixture (5% CO2, 5% O2, and 90% N2). Higher incubation temperatures (37°C and 37.5°C) were also tested but under these conditions parasites did not develop into mature schizonts and the presence of degenerated schizonts was common. Over the 22 hours of the incubation period parasite samples were collected at different time points in order to perform thin blood smears and the measurement of pLDH activity. In Figure 3 it can be observed how pLDH levels increased as the parasite grew during the incubation time. Ring samples at time 0 of incubation had an initial OD value of 0.25 (± 0.02). After 4 hours of incubation, intracellular growth occurred, trophozoites predominated in the culture and the OD nearly doubled to 0.45 (± 0.02). Ten hours after the second sample was taken (schizonts) the OD reached 1.0 (± 0.06), with a slight increase at 18 hours. The OD remained stable until the end of the culture (22 hours) when fully mature schizonts with more than 8 nuclei were observed. Relationship between growth, stage development and pLDH optical density of synchronized cultures of P. berghei. Parasites were cultured under drug in vitro assay conditions without drug. Samples were collected and frozen at the different time points. Asterisks represent the mean and standard error of two different experiments. A picture of a mature schizont (usually containing 8–16 nuclei) collected at the end of the assay (hour 22) is also shown. These simple growth tests confirmed that the short-culture conditions to be used in this in vitro assay supported well the parasite growth and the feasibility of this ELISA-based technique to detect it. These results also show that the maximal pLDH activity was generated when the parasites developed from early trophozoites into schizonts, which is consistent with previous reports in P. falciparum where the peak of L-lactate (product of pLDH activity) coincided with the beginning of the schizogony [17,20]. There was no significantly increase in pLDH values after 16 hours of incubation when nuclear division and merozoite formation start to occur. These findings indicate that this assay is appropriate to evaluate drugs that affect the parasite’s growth and maturation but not for drugs targeting DNA synthesis during schizogony. In addition, in the absence of an efficient long-term continuous culture of P. berghei[21,22] the drug in vitro assay proposed here is based on a single cycle. Therefore, this test is not suitable for the evaluation of drugs that have no apparent effect until division and reinvasion of new red blood cells by the daughter merozoites occur (delayed-death phenomenon described with antibacterial drugs in P. falciparum) and whose effect can only be estimated in the next developmental cycles [23]. For this kind of drugs, other in vitro assays for P. berghei based on DNA synthesis [5] and luciferase schizont-specific expression are available [6]. The recent report of a new in vitro culture technique for P. berghei that allows reinvasion of normal mouse red blood cells and continuous culture for over two weeks [24] might also overcome this limitation. For the in vitro assays, early parasite stages (rings) obtained from synchronized infections were used. Parasites were incubated with the different concentrations of the anti-malarial drugs at 36.5°C for 22 hours. Slides confirming the fully maturation of healthy schizonts in the positive control wells were always performed at the end of each assay. Figure 4 shows the absorbance recorded for positive and negative controls during the drug in vitro assays. Absorbance values of negative controls were 0.14 (± 0.03) and 0.10 (± 0.01) for uninfected red blood cells and complete RPMI media, respectively. The negative controls showed significantly lower absorbance (Fisher Exact Test, p = 0.0001) than infected samples, regardless of the time of collection. Infected samples at time zero of growth also showed low absorbance values (0.3 ± 0.10), as expected for early stages, but significantly doubled (Fisher Exact Test, p = 0.0001) the OD values of the negative controls. After 22 hours of incubation, the samples from time zero of growth tripled their absorbance values to 1.1 (± 0.2 SD). These results clearly show the suitability of the antibodies to for P. berghei detection. Optical density readings from drug in vitro assay controls. pLDH OD values for negative controls: complete RMPI media (cRPMI, N = 9 wells), uninfected red blood cells (unRBCs, N = 45 wells) and positive controls (N = 84 wells): infected red blood cells without drug collected at time zero of incubation (T0) and after finished the assay (22h). Wells from different assays were plotted together and at least three independent assays were performed per each group. Values are displayed in box plots, means and outliers are represented by solid crosses and black circles, respectively. The in vitro response of P. berghei to common anti-malarial drugs can be observed in Figure 5. Since no differences between the IC50s values of the wild type (PbA) and the transgenic line (PbAGFP) were observed, curves for both parasites were plotted together. The IC50 of chloroquine and artesunate was also investigated for PbAGFP using the micro-test [2] with similar results for both techniques (Figure 5). The IC50 values for artesunate obtained in this work (15 nM) are in accordance with previous reports for this species [5,6]. Janse et al.[5] developed and in vitro assay for P. berghei analyzing the amount of parasite DNA through Hoechst staining and flow cytometry and reported IC50 values for artesunate of 11 nM. More recently, the same group developed another anti-malarial drug screening in vitro assay using a transgenic line of P. berghei expressing luciferase [6]. Through this highly sensitive technique, the recorded IC50 values of artesunate ranged from 4 to 26 nM. IC50 values for chloroquine in sensitive P. berghei strains have also been described through the use of the different techniques. Early reports of IC50s for chloroquine sensitive lines (NK65 strain) using the radioisotopic assay ranged between 155 nM [25] and 230 nM [3]. A report in another murine Plasmodium species Plasmodium chabaudi described an IC50 value of chloroquine of 30 nM using the radioisotopic technique [26]. More recently, IC50 values of 30 nM were also described in P. berghei using the luciferase assay [6]. In the present study, the IC50s values for chloroquine sensitive lines (PbA and PbAGFP) were 7 nM and 20 nM using the pLDH ELISA and the micro-test, respectively (Figure 5); both values are within the range of IC50 values described for sensitive chloroquine strains of Plasmodium in rodents [3,6,25,26] and similar to those reported in P. falciparum[10,27-30] and Plasmodium vivax[24,31]. The reports of IC50s for amodiaquine and quinine in P. berghei are more restricted, mainly derived from the radioisotopic assays: 430 nM and 1500 nM, respectively [3]; another study showed an IC50 of 210 nM for quinine-HCL using again the radioisotopic technique [25]. In this work was found that P. berghei ANKA lines were sensitive to amodiaquine (IC50 of 2nM) and quinine (IC50 of 144 nM). These values have been also described in sensitive strains of P. falciparum[10,27-30] and P. vivax[32]. However, comparison of in vitro IC50 data among different Plasmodium species should be cautiously made and was not the purpose of the present study. Comparisons of these results, with previous reports in P. berghei can be also limited since available IC50s have been obtained through different techniques and conducted with different strains, hosts, drug dilution protocols and under diverse parameters of parasitaemia and haematocrit that can influence the IC50 results [27]; moreover early in vitro assays described in P. berghei were usually conducted without synchronization procedures [3,25,26]. In vitro susceptibility of P. berghei to different anti-malarial drugs. Inhibition of schizont maturation by amodiaquine (squares), chloroquine (solid circles), artesunate (solid triangles) and quinine (asterisks). Curves derived from micro-test assays are displayed as dashed lines and open symbols. Each point represents the mean and the standard error of at least three independent assays for PbA and PbAGFP. The IC50 values and standard error of the media are shown in the legend. This ELISA method provides a simple procedure to determine IC50s for anti-malarial drugs in vitro using P. berghei. Since studies focusing on the identification of novel drugs often involve the testing of the in vivo efficacy of drug candidates in small animal (rodent) models of malaria, the availability of simple assays to determine the in vitro drug-sensitivity of rodent parasites is useful. Specifically, this assay may help to determine whether a discrepancy between in vitro P. falciparum drug-sensitivity and in vivo rodent parasite drug-sensitivity is the result of intrinsic differences between the two parasite species or may be due to pharmacokinetic or pharmacodynamic characteristics of the drug in a live animal. Conclusion: In this study, the development of an ELISA-based in vitro drug assay for P. berghei is reported. This technique is easy to implement, fast (less than 3 hours), safe (avoids the use of radioisotopes) and economical (not requiring expensive equipment such as beta counters, flow cytometers or luminometers). Although the development of synchronized infections in mice is time consuming, this is a straightforward procedure which can be easily implemented in laboratories working with murine models. This in vitro assay represents a robust and useful alternative for the screening of new anti-malarial compounds in the mouse model of P. berghei. Abbreviations: WHO: World Health Organization; LDH: Lactate dehydrogenase; pLDH: Parasite Lactate dehydrogenase; ELISA: Enzyme-linked immunosorbent assay; IP: Intraperitoneally; PbA: Plasmodium berghei ANKA, PbAGFP, Plasmodium berghei ANKA GFP; MR4: Malaria Research and Reference Reagent Resource Center; NIH: National Institutes of Health; PBS: Phosphate buffered saline; RPMI: Roswell Park Memorial Institute; IV: Intravenously; OD: Optical density; IC50: Half maximal inhibitory concentration; SD: Standard deviation; HABA: 4'-hydroxyazobenzene-2-carboxylic acid; DELI: Double-site enzyme-linked lactate dehydrogenase immunodetection assay; BSA: Bovine serum albumin; TMB: 3,3',5,5'-tetramethybenzidine; unRBC: Uninfected red blood cell; cRMPI: Complete RMPI media. Competing interests: Authors do not have any competing interests. Authors’ contributions: The work was carried out in collaboration between all authors. POS and LJMC designed experiments. POS carried out the laboratory experiments, analysed the data, interpreted the results and wrote the manuscript. ED assisted in FACS experiments and FCS Express software analyses. LJMC conceived the study, interpreted results and revised the manuscript. JAF and JN discussed the results and revised the manuscript. All authors have approved the final manuscript.
Background: Plasmodium berghei rodent malaria is a well-known model for the investigation of anti-malarial drug efficacy in vivo. However, the availability of drug in vitro assays in P. berghei is reduced when compared with the spectrum of techniques existing for Plasmodium falciparum. New alternatives to the current manual or automated methods described for P. berghei are attractive. The present study reports a new ELISA drug in vitro assay for P. berghei using two monoclonal antibodies against the parasite lactate dehydrogenase (pLDH). Methods: This procedure includes a short-in vitro culture, the purification of schizonts and the further generation of synchronized mice infections. Early stages of the parasite are then incubated against different concentrations of anti-malarial drugs using micro-plates. The novelty of this procedure in P. berghei relies on the quantification of the drug activity derived from the amount of pLDH estimated by an ELISA assay using two monoclonal antibodies: 14C1 and 19G7. The IC₅₀s obtained through the ELISA assay were compared with those from the micro-test. Results: The initial parameters of the synchronized samples used in the in vitro assays were a parasitaemia of 0.5% and haematocrit of 1%, with an incubation period of 22 hours at 36.5°C. pLDH detection using a 14C1 coating at 10 μg/ml and 19G7 at 2.5 × 10⁻³ μg/ml provided good readouts of optical densities with low background in negative controls and specific detection levels for all parasite stages. IC₅₀s values derived from the ELISA assay for artesunate, chloroquine, amodiaquine and quinine were: 15, 7, 2, and 144 nM, respectively. When artesunate and chloroquine IC₅₀s were evaluated using the micro-test similar values were obtained. Conclusions: This ELISA-based in vitro drug assay is easy to implement, fast, and avoids the use radioisotopes or expensive equipment. The utility of this simple assay for screening anti-malarial drug activity against P. berghei in vitro is demonstrated.
Background: Murine malaria models have contributed to the understanding of the biology and pathology of human malarias. Although the immune system and drug pharmacokinetics between humans and rodents may be different, the drug sensitivity profile between these Plasmodium species is mostly shared. Drug efficacy studies in small rodents have been mainly performed in vivo using different strains of Plasmodium berghei and the classical four-day suppressive test [1]. The use and development of in vitro techniques for anti-malarial drug-screening in P. berghei has been less prominent, especially when compared with the variety of in vitro assays described for Plasmodium falciparum. In vitro assays are complementary to in vivo tests, and in P. berghei some advantages of the in vitro assays include: i) the measurement of intrinsic anti-malarial activity, excluding confounding factors from the host such as the immune system; ii) the evaluation of larger number of compounds in one experiment with possible prediction of an in vivo outcome, and iii) the identification of discrepancies in the sensitivity profiles of P. berghei and P. falciparum. Different drug in vitro assays have been adapted and developed for P. berghei. These assays include: the WHO schizont maturation test (micro-test) [2], the radioisotopic assay [3] and the measurement of parasite nucleic acids using fluorescent dyes and flow cytometry [4,5]. More recently, a luminescence assay using a transgenic line of P. berghei expressing luciferase was also developed [6]. These techniques can be limited by labour-intensive steps, disposal of radioactive waste and high costs. Early studies of the metabolic pathways of Plasmodium led to the identification of enzymes structurally different from the host, such as lactate dehydrogenase (LDH) [7]. Plasmodium parasites require intense LDH activity to ensure the high metabolism of carbohydrates during the complex intraerythrocytic cycle [8]. These singularities pointed to parasite LDH (pLDH) detection as a good target for the development of colorimetric [9] and ELISA [10] based drug in vitro assays for P. falciparum. The aim of this study was to develop an in vitro enzyme-linked immunosorbent drug assay for P. berghei, using two monoclonal antibodies against pLDH and the semi-automated micro-dilution technique [11]. This in vitro susceptibility test starts with P. berghei mouse infections followed by a short in vitro culture and a synchronization procedure to generate the P. berghei samples to be evaluated in the drug in vitro assays. The measurement of drug activity is derived from the relative amount of P. berghei LDH (estimated by ELISA) as a function of the drug concentration. Conclusion: In this study, the development of an ELISA-based in vitro drug assay for P. berghei is reported. This technique is easy to implement, fast (less than 3 hours), safe (avoids the use of radioisotopes) and economical (not requiring expensive equipment such as beta counters, flow cytometers or luminometers). Although the development of synchronized infections in mice is time consuming, this is a straightforward procedure which can be easily implemented in laboratories working with murine models. This in vitro assay represents a robust and useful alternative for the screening of new anti-malarial compounds in the mouse model of P. berghei.
Background: Plasmodium berghei rodent malaria is a well-known model for the investigation of anti-malarial drug efficacy in vivo. However, the availability of drug in vitro assays in P. berghei is reduced when compared with the spectrum of techniques existing for Plasmodium falciparum. New alternatives to the current manual or automated methods described for P. berghei are attractive. The present study reports a new ELISA drug in vitro assay for P. berghei using two monoclonal antibodies against the parasite lactate dehydrogenase (pLDH). Methods: This procedure includes a short-in vitro culture, the purification of schizonts and the further generation of synchronized mice infections. Early stages of the parasite are then incubated against different concentrations of anti-malarial drugs using micro-plates. The novelty of this procedure in P. berghei relies on the quantification of the drug activity derived from the amount of pLDH estimated by an ELISA assay using two monoclonal antibodies: 14C1 and 19G7. The IC₅₀s obtained through the ELISA assay were compared with those from the micro-test. Results: The initial parameters of the synchronized samples used in the in vitro assays were a parasitaemia of 0.5% and haematocrit of 1%, with an incubation period of 22 hours at 36.5°C. pLDH detection using a 14C1 coating at 10 μg/ml and 19G7 at 2.5 × 10⁻³ μg/ml provided good readouts of optical densities with low background in negative controls and specific detection levels for all parasite stages. IC₅₀s values derived from the ELISA assay for artesunate, chloroquine, amodiaquine and quinine were: 15, 7, 2, and 144 nM, respectively. When artesunate and chloroquine IC₅₀s were evaluated using the micro-test similar values were obtained. Conclusions: This ELISA-based in vitro drug assay is easy to implement, fast, and avoids the use radioisotopes or expensive equipment. The utility of this simple assay for screening anti-malarial drug activity against P. berghei in vitro is demonstrated.
8,472
372
[ 500, 618, 382, 480, 3106, 136, 8, 78 ]
10
[ "vitro", "drug", "blood", "berghei", "10", "assays", "samples", "mice", "ml", "assay" ]
[ "anti malarial drug", "malarial drugs inhibition", "malarial drugs vitro", "assays described plasmodium", "malarial drug screening" ]
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[CONTENT] Plasmodium berghei | In vitro culture | schizont | synchronized infection | drug in vitro assay | anti-malarials | IC50 values | lactate dehydrogenase | ELISA [SUMMARY]
[CONTENT] Plasmodium berghei | In vitro culture | schizont | synchronized infection | drug in vitro assay | anti-malarials | IC50 values | lactate dehydrogenase | ELISA [SUMMARY]
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[CONTENT] Plasmodium berghei | In vitro culture | schizont | synchronized infection | drug in vitro assay | anti-malarials | IC50 values | lactate dehydrogenase | ELISA [SUMMARY]
[CONTENT] Plasmodium berghei | In vitro culture | schizont | synchronized infection | drug in vitro assay | anti-malarials | IC50 values | lactate dehydrogenase | ELISA [SUMMARY]
[CONTENT] Plasmodium berghei | In vitro culture | schizont | synchronized infection | drug in vitro assay | anti-malarials | IC50 values | lactate dehydrogenase | ELISA [SUMMARY]
[CONTENT] Animals | Antibodies, Monoclonal | Antibodies, Protozoan | Antimalarials | Drug Evaluation, Preclinical | Drug Resistance | Enzyme-Linked Immunosorbent Assay | Green Fluorescent Proteins | L-Lactate Dehydrogenase | Malaria | Mice | Mice, Inbred C57BL | Parasitemia | Plasmodium berghei | Recombinant Proteins [SUMMARY]
[CONTENT] Animals | Antibodies, Monoclonal | Antibodies, Protozoan | Antimalarials | Drug Evaluation, Preclinical | Drug Resistance | Enzyme-Linked Immunosorbent Assay | Green Fluorescent Proteins | L-Lactate Dehydrogenase | Malaria | Mice | Mice, Inbred C57BL | Parasitemia | Plasmodium berghei | Recombinant Proteins [SUMMARY]
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[CONTENT] Animals | Antibodies, Monoclonal | Antibodies, Protozoan | Antimalarials | Drug Evaluation, Preclinical | Drug Resistance | Enzyme-Linked Immunosorbent Assay | Green Fluorescent Proteins | L-Lactate Dehydrogenase | Malaria | Mice | Mice, Inbred C57BL | Parasitemia | Plasmodium berghei | Recombinant Proteins [SUMMARY]
[CONTENT] Animals | Antibodies, Monoclonal | Antibodies, Protozoan | Antimalarials | Drug Evaluation, Preclinical | Drug Resistance | Enzyme-Linked Immunosorbent Assay | Green Fluorescent Proteins | L-Lactate Dehydrogenase | Malaria | Mice | Mice, Inbred C57BL | Parasitemia | Plasmodium berghei | Recombinant Proteins [SUMMARY]
[CONTENT] Animals | Antibodies, Monoclonal | Antibodies, Protozoan | Antimalarials | Drug Evaluation, Preclinical | Drug Resistance | Enzyme-Linked Immunosorbent Assay | Green Fluorescent Proteins | L-Lactate Dehydrogenase | Malaria | Mice | Mice, Inbred C57BL | Parasitemia | Plasmodium berghei | Recombinant Proteins [SUMMARY]
[CONTENT] anti malarial drug | malarial drugs inhibition | malarial drugs vitro | assays described plasmodium | malarial drug screening [SUMMARY]
[CONTENT] anti malarial drug | malarial drugs inhibition | malarial drugs vitro | assays described plasmodium | malarial drug screening [SUMMARY]
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[CONTENT] anti malarial drug | malarial drugs inhibition | malarial drugs vitro | assays described plasmodium | malarial drug screening [SUMMARY]
[CONTENT] anti malarial drug | malarial drugs inhibition | malarial drugs vitro | assays described plasmodium | malarial drug screening [SUMMARY]
[CONTENT] anti malarial drug | malarial drugs inhibition | malarial drugs vitro | assays described plasmodium | malarial drug screening [SUMMARY]
[CONTENT] vitro | drug | blood | berghei | 10 | assays | samples | mice | ml | assay [SUMMARY]
[CONTENT] vitro | drug | blood | berghei | 10 | assays | samples | mice | ml | assay [SUMMARY]
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[CONTENT] vitro | drug | blood | berghei | 10 | assays | samples | mice | ml | assay [SUMMARY]
[CONTENT] vitro | drug | blood | berghei | 10 | assays | samples | mice | ml | assay [SUMMARY]
[CONTENT] vitro | drug | blood | berghei | 10 | assays | samples | mice | ml | assay [SUMMARY]
[CONTENT] drug | berghei | vitro | assays | plasmodium | vitro assays | different | ldh | test | vivo [SUMMARY]
[CONTENT] plates | blood | ml | μl | 100 | mice | 100 μl | drug | pbs | 10 [SUMMARY]
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[CONTENT] development | berghei | vitro assay represents | consuming | flow cytometers luminometers | flow cytometers luminometers development | development synchronized | development synchronized infections | development synchronized infections mice | implemented laboratories working murine [SUMMARY]
[CONTENT] drug | vitro | berghei | authors | blood | competing interests | interests | authors competing interests | authors competing | competing [SUMMARY]
[CONTENT] drug | vitro | berghei | authors | blood | competing interests | interests | authors competing interests | authors competing | competing [SUMMARY]
[CONTENT] berghei ||| assays | Plasmodium ||| P. berghei ||| ELISA | P. berghei | two [SUMMARY]
[CONTENT] ||| ||| ELISA | two | 14C1 | 19G7 ||| IC₅₀s | ELISA [SUMMARY]
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[CONTENT] ELISA ||| P. berghei [SUMMARY]
[CONTENT] berghei ||| assays | Plasmodium ||| P. berghei ||| ELISA | P. berghei | two ||| ||| ||| ELISA | two | 14C1 | 19G7 ||| IC₅₀s | ELISA ||| ||| assays | 0.5% | 1% | 22 hours | 36.5 ||| 14C1 | 10 μg/ml and 19G7 | 2.5 × ||| 10⁻³ ||| IC₅₀s | ELISA | 15 | 7 | 2 ||| IC₅₀s ||| ELISA ||| P. berghei [SUMMARY]
[CONTENT] berghei ||| assays | Plasmodium ||| P. berghei ||| ELISA | P. berghei | two ||| ||| ||| ELISA | two | 14C1 | 19G7 ||| IC₅₀s | ELISA ||| ||| assays | 0.5% | 1% | 22 hours | 36.5 ||| 14C1 | 10 μg/ml and 19G7 | 2.5 × ||| 10⁻³ ||| IC₅₀s | ELISA | 15 | 7 | 2 ||| IC₅₀s ||| ELISA ||| P. berghei [SUMMARY]
Economic crisis, immigrant women and changing availability of intimate partner violence services: a qualitative study of professionals' perceptions in Spain.
25205287
Since 2008, Spain has been in the throes of an economic crisis. This recession particularly affects the living conditions of vulnerable populations, and has also led to a reversal in social policies and a reduction in resources. In this context, the aim of this study was to explore intimate partner violence (IPV) service providers' perceptions of the impact of the current economic crisis on these resources in Spain and on their capacity to respond to immigrant women's needs experiencing IPV.
INTRODUCTION
A qualitative study was performed based on 43 semi-structured in-depth interviews to social workers, psychologists, intercultural mediators, judges, lawyers, police officers and health professionals from different services dealing with IPV (both, public and NGO's) and cities in Spain (Barcelona, Madrid, Valencia and Alicante) in 2011. Transcripts were imported into qualitative analysis software (Atlas.ti), and analysed using qualitative content analysis.
METHODS
We identified four categories related to the perceived impact of the current economic crisis: a) "Immigrant women have it harder now", b) "IPV and immigration resources are the first in line for cuts", c) " Fewer staff means a less effective service" and d) "Equality and IPV policies are no longer a government priority". A cross-cutting theme emerged from these categories: immigrant women are triply affected; by IPV, by the crisis, and by structural violence.
RESULTS
The professionals interviewed felt that present resources in Spain are insufficient to meet the needs of immigrant women, and that the situation might worsen in the future.
CONCLUSION
[ "Adult", "Attitude of Health Personnel", "Economic Recession", "Emigrants and Immigrants", "Female", "Health Services Needs and Demand", "Humans", "Interviews as Topic", "Public Policy", "Qualitative Research", "Spain", "Spouse Abuse", "Vulnerable Populations" ]
4172960
Introduction
Violence against women (VAW) is an extreme manifestation of gender inequality in society and a serious violation of fundamental human rights. The United Nations declaration on the Elimination of VAW defines it as any act of gender-based violence that results in, or is likely to result in, physical, sexual or psychological harm or suffering to women, including threats of acts such as coercion or arbitrary deprivation of liberty, whether occurring in public or private life [1]. Intimate Partner Violence (IPV) against women is the most common type of male VAW. It takes place within couples, and the perpetrators are almost exclusively men who are or who have been in an intimate relationship with the woman [2]. IPV against women occurs without exception in all countries, all cultures and at every level of society [3]. In the EU-27, it affects between 20% and 25% of adult women who have ever had an intimate partner [4]. However, within countries, some populations of women may be at greater vulnerable situation such is the case of migrant women due to different factors related to social exclusion: expatriation, lack of legal immigrant status, economic hardship and economic dependence on their partners [5-11]. At the end of 2012, a total of 314,358 persons from abroad set up residence in Spain. Although males traditionally maintained a slightly higher prevalence, women accounted at least for 48% of the total of foreigners that arrived to Spain [12]. The majority of immigrant women living in Spain come from Morocco, East Europe, Ecuador and Colombia. A cross-sectional study of 10,202 women attending primary health care centres showed an IPV of 27.9% in migrants compared to 14.3% in Spanish women [13]. According to the Annual Report of The National Observatory on Violence against women, in 2012, 47% of intimate partner violence-related murders in Spain were produced among migrant women [14]. Several advances in IPV and immigration policies have been achieved in recent years in Spain which have facilitated immigrant women’s access to resources, including the Organic Law/2004 [15]. According to this one, the public sector in Spain (state, regional and local government) is required to provide support to female victims of IPV in the form of information, comprehensive welfare services and free legal aid. This is delivered through 24-hour specialist emergency services, IPV-based courts and specialist units in the state security bodies, and involves professionals from different disciplines (physicians, psychologists, psychiatrists, lawyers, sociologists, educators, social workers, employment specialists). Provided support encompasses health care, emergency services, assistance, accommodation and comprehensive recovery. Support also includes social welfare benefits (unemployment benefit, income support), protection measures, job placement programmes, general and specialised social services (information, counselling, social support, follow up on women’s rights claims, educational support for the family, preventive education and support for vocational training and job seeking), a mobile telecare service, women’s shelters, and priority access to public housing and public residential homes for senior citizens. According to the 2004 law all these resources should be available to all women once an official complaint has been lodged. However, the lack of reports informing on the nationality of women accessing such resources does not allow to point out differences/inequalities on access to such services between immigrant and non-immigrant women exposed to IPV in Spain. The Organic Law 10/2011 of July 27, 2011 extends the rights of battered immigrant women in an irregular situation, establishing the possibility of requesting permission to reside (including their children) and work due to exceptional circumstances once a restraining order has been granted. Such permission is not definitively approved until criminal proceedings have concluded. They can also apply for provisional authorization to reside and work due to exceptional circumstances at the time of filing the official complaint [16]. NGOs also play a key role in providing care for immigrant women, particularly immigrant associations, since translation and cultural mediation services are not required by law, and are even less likely to be provided now that funding for these resources has been removed. In addition to these State policies, it is important to note that Spain is divided into Autonomous Communities at regional level. Each of the Autonomous Communities has its own government and adopts its own policies, although following some common national policy guidelines. For example, the afore mentioned Organic Law 1/2004 on Comprehensive Protection Measures against Gender-Based Violence is applicable throughout the country, but each region can also have its own law on gender-based violence. Meanwhile, there are 17 Social Services Acts, one for each of the Autonomous Communities. These Acts differ in terms of social rights, social services, and social expenditure. In terms of the health-sector response to IPV whilst all the regions have developed protocols and guidelines, great variation exist between regions in terms of training programs, intersectorial coordination and monitoring systems [17]. The current global recession has prompted a wide range of economic, political and social reforms in Europe and Spain which involve cutbacks in social investment [18-20]. These policies reflect the priority given by governments to reduce their fiscal deficits by cutting back on social expenditure [21]. The concomitant dismantling of the welfare state means that social and health care services are the first to be affected by government austerity measures [22,23]. For example, between 2006 and 2011 the percentage of the total Spanish State Budget allocated to health care fell from 35.2% to 33.7% (almost 2 points), representing a reduction of more than 8 million Euros [19]. Other institutional reports have indicated that per capita social expenditure in the period 2009–2011 fell significantly by a state-wide average of 4.4% [24]. In 2011, the at-risk-of-poverty rate stood at 21.8% for the population of Spain, and one in four people under the age of 16 were living below the poverty line [25]. Austerity measures are harming the social well-being of the populations affected [26,27]. Previous research has shown that due to their effects on the labour market and resource access, economic downturns have negative consequences for public health [23,28,29]. Similarly, social inequalities between population groups widen during recessions; rising unemployment and poverty hit the most disadvantaged hardest and increase their vulnerability [30,31]. In the particular case of the immigrant population in Spain, it has already been observed that those who still do not return to their country of origin are among the many unemployed who struggle to meet very basic needs for food, housing, health, education, and social protection [32]. Implementation of public IPV policies depends heavily on the service providers [33], and they can also be an important source of information about the impact of the economic crisis on social strategies targeting immigrant women. Therefore, an analysis which takes into account the perspectives of those involved might identify the factors which could prevent the crisis from affecting public health [23,34]. The effects of the reforms prompted by the current economic crisis on IPV resources have not been explored in Spain [35]. An exploration of service providers’ opinions and concerns about areas under threat could serve as a first step in formulating policy and research actions [36-38]. Meanwhile, at an organisational level, it is necessary to study how professionals tackle changing conditions [39]. This study formed part of a wider research project examining the determinants of access to the health and social services available in Spain for tackling IPV in general, and among immigrant women in particular [40]. Concern about anticipated spending cuts prompted by the crisis and their impact on resources was a theme that emerged from the interviews, since the fieldwork was conducted in a context of an economic recession (March-December, 2011). Therefore, the aim of the present study was to explore IPV service providers’ perceptions concerning the impact of the economic crisis on both the changing availability of IPV-related services and their own capacity to respond to immigrant women experiencing IPV in Spain.
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Results
The analysis of the interviews with service providers revealed four categories related to the negative impact of the reforms prompted by the economic crisis, as perceived by professionals: a) “Immigrant women have it harder now”, b) “IPV and immigration resources are the first in line for cuts”, c) “Fewer staff means a less effective service” and d) “Equality and IPV policies are no longer a government priority”. These categories described the perceived and anticipated effects of changes in the allocation of resources for IPV support (Additional file 3: Figure S1). A cross-cutting theme emerged from the categories, which expressed the latent content of the interviews: Immigrant women are triply affected; by IPV, by the economic crisis and by structural violence. Service providers perceived immigrant women to be particularly vulnerable to IPV, on the one hand, and to the effects of the recession on the other. In the opinion of the professionals interviewed, the economic crisis could lead to structural violence against immigrant women who experience IPV; they anticipated a reduction in support resources for these women as a result of budget cuts, and consequently, fewer opportunities for the empowerment which would enable them escape from situations of IPV (Additional file 3: Figure S1). “Immigrant women have it harder now” Service providers perceived additional obstacles for immigrant women attempting to leave violent relationships, which stemmed from the migration process: no legally valid documentation, language barriers and the lack of support networks, among others. These factors may provoke a situation of greater vulnerability compared with Spanish women and can act as barriers to resource access, making it more difficult for immigrant women to break free from situations of IPV. Furthermore, any difficulties arising from the migration process are exacerbated by the economic crisis.The recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist) The recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist) The professionals interviewed considered that being an immigrant frequently entailed exploitative working conditions and socio-economic insecurity. In addition, the economic crisis has intensified women’s economic insecurity.Another consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge)As long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists) Another consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge) As long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists) They believe that the recession in Spain is having a negative effect on immigrant women’s opportunities for economic empowerment, because high unemployment rates and scarce job opportunities have reduced immigrant women’s possibilities of entering the workforce and achieving the economic independence. Thus, not only are their opportunities for attaining independence diminished, but their ties of economic dependence on the abuser are strengthened, rendering it more difficult for them to leave a violent relationship.And the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker) And the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker) Service providers perceived additional obstacles for immigrant women attempting to leave violent relationships, which stemmed from the migration process: no legally valid documentation, language barriers and the lack of support networks, among others. These factors may provoke a situation of greater vulnerability compared with Spanish women and can act as barriers to resource access, making it more difficult for immigrant women to break free from situations of IPV. Furthermore, any difficulties arising from the migration process are exacerbated by the economic crisis.The recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist) The recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist) The professionals interviewed considered that being an immigrant frequently entailed exploitative working conditions and socio-economic insecurity. In addition, the economic crisis has intensified women’s economic insecurity.Another consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge)As long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists) Another consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge) As long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists) They believe that the recession in Spain is having a negative effect on immigrant women’s opportunities for economic empowerment, because high unemployment rates and scarce job opportunities have reduced immigrant women’s possibilities of entering the workforce and achieving the economic independence. Thus, not only are their opportunities for attaining independence diminished, but their ties of economic dependence on the abuser are strengthened, rendering it more difficult for them to leave a violent relationship.And the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker) And the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker) “IPV and immigration resources are the first in line for cuts” At the time of the interviews, the service providers were already reporting shortages and a lack of the resources necessary to provide support in cases of IPV, even before the reforms prompted by the economic crisis had begun to take their toll.Both you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator)Health services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist) Both you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator) Health services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist) They expressed concern about resource provision as the recession deepens, anticipating a reduction in IPV services and resources due to budget cuts as a result of dwindling funding for these purposes.There aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker) There aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker) They felt that cutbacks in social programmes would affect the availability of essential resources for immigrant women in situations of abuse. There was also concern that economic and social cuts by the new government would adversely affect the allocation of IPV resources nationally, as would the government’s policies on changing the administrative structure of assistance.Let’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists)If we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker) Let’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists) If we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker) Providers also suspected that there would be cutbacks in financial aid such as income support for battered women, an essential resource to ensure women’s economic independence from aggressors. However, there were also more positive opinions expressed about the continuity of IPV support despite the crisis, linked to the personal motivation of some professionals rather than to faith in the structures. In spite of the cuts they anticipated as a result of the economic crisis, some participants expressed positive feelings, mainly about their work as professionals supporting immigrant women. As one of the participants stated “Large or small, every stone helps build a wall” (Interview 5- social worker).I think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist) I think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist) Participants expected or anticipated that the scope of activities would continue as before, but that any new programmes or initiatives would be cancelled or delayed due to the crisis. Despite these difficulties, the professionals attempted to compensate for cuts with their own personal efforts and motivation, and continued working.Obviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists) Obviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists) At the time of the interviews, the service providers were already reporting shortages and a lack of the resources necessary to provide support in cases of IPV, even before the reforms prompted by the economic crisis had begun to take their toll.Both you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator)Health services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist) Both you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator) Health services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist) They expressed concern about resource provision as the recession deepens, anticipating a reduction in IPV services and resources due to budget cuts as a result of dwindling funding for these purposes.There aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker) There aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker) They felt that cutbacks in social programmes would affect the availability of essential resources for immigrant women in situations of abuse. There was also concern that economic and social cuts by the new government would adversely affect the allocation of IPV resources nationally, as would the government’s policies on changing the administrative structure of assistance.Let’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists)If we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker) Let’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists) If we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker) Providers also suspected that there would be cutbacks in financial aid such as income support for battered women, an essential resource to ensure women’s economic independence from aggressors. However, there were also more positive opinions expressed about the continuity of IPV support despite the crisis, linked to the personal motivation of some professionals rather than to faith in the structures. In spite of the cuts they anticipated as a result of the economic crisis, some participants expressed positive feelings, mainly about their work as professionals supporting immigrant women. As one of the participants stated “Large or small, every stone helps build a wall” (Interview 5- social worker).I think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist) I think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist) Participants expected or anticipated that the scope of activities would continue as before, but that any new programmes or initiatives would be cancelled or delayed due to the crisis. Despite these difficulties, the professionals attempted to compensate for cuts with their own personal efforts and motivation, and continued working.Obviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists) Obviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists) “Fewer staff means a less effective service” Professionals criticised the lack of human resources in IPV support services and highlighted the need for more specialist staff to meet the specific needs of immigrant women, such as translators or cultural mediators.We don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist) We don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist) Staff cuts as a result of reduced budgets impaired the quality of the services offered. Interviewees thought that cuts in IPV services would have an impact on the quality of the support given to the immigrant battered women, because fewer staff meant more work for the remaining professionals and less time for each individual client.For example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator) For example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator) Another result of the recession is that working conditions in IPV services have become harsher, with increased workloads, a freeze on recruitment and reduced shifts and salaries. These shortcomings were highlighted as an obstacle to interventions with women, hampering the provision of effective attention.with the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker) with the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker) Professionals criticised the lack of human resources in IPV support services and highlighted the need for more specialist staff to meet the specific needs of immigrant women, such as translators or cultural mediators.We don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist) We don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist) Staff cuts as a result of reduced budgets impaired the quality of the services offered. Interviewees thought that cuts in IPV services would have an impact on the quality of the support given to the immigrant battered women, because fewer staff meant more work for the remaining professionals and less time for each individual client.For example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator) For example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator) Another result of the recession is that working conditions in IPV services have become harsher, with increased workloads, a freeze on recruitment and reduced shifts and salaries. These shortcomings were highlighted as an obstacle to interventions with women, hampering the provision of effective attention.with the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker) with the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker) “Equality and IPV policies are no longer a government priority” The professionals interviewed were concerned and uncertain about the immediate future in Spain as regards IPV policies, anticipating reversals in policy prompted by the economic crisis and the arrival of a new government different to the one that enacted the IPV Law.Well, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge) Well, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge) They expressed concern about possible amendments to IPV legislation and the potential effects on social policies aimed at the immigrant population of the new government’s reforms in the context of an economic crisis. They felt that this situation represented a step backwards in terms of the advances that Spanish society had achieved through the time and efforts of social and individual stakeholders, such as the people working in IPV services themselves. For example, the politicians were threatening to change the specialised IPV courts or the law on IPV, which the politicians were threatening to change.Specialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists) Specialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists) Participants warned that economic crises threaten advances in social policies and equality. They believed that equality policies constituted a structural battle against gender-based violence, and feared that these would stagnate or even be reversed, largely to the detriment of victims. They felt that gender equality, the fight against IPV and the specific needs of the immigrant population were not priorities for policy-makers.What’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists) What’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists) The professionals interviewed were concerned and uncertain about the immediate future in Spain as regards IPV policies, anticipating reversals in policy prompted by the economic crisis and the arrival of a new government different to the one that enacted the IPV Law.Well, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge) Well, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge) They expressed concern about possible amendments to IPV legislation and the potential effects on social policies aimed at the immigrant population of the new government’s reforms in the context of an economic crisis. They felt that this situation represented a step backwards in terms of the advances that Spanish society had achieved through the time and efforts of social and individual stakeholders, such as the people working in IPV services themselves. For example, the politicians were threatening to change the specialised IPV courts or the law on IPV, which the politicians were threatening to change.Specialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists) Specialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists) Participants warned that economic crises threaten advances in social policies and equality. They believed that equality policies constituted a structural battle against gender-based violence, and feared that these would stagnate or even be reversed, largely to the detriment of victims. They felt that gender equality, the fight against IPV and the specific needs of the immigrant population were not priorities for policy-makers.What’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists) What’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists)
Conclusions
These findings lead us to conclude that the policy changes prompted by the crisis hinder effective coverage of services for women victims of IPV in general, and more specifically, for immigrant women in this situation. The present study revealed that service providers tended to think that IPV services and programmes, and especially those for immigrant women, were under threat, since politicians might considered them the most dispensable aspect of the health and social services. Although the maintenance of services and programmes for immigrant battered women is a question of equality, the interviewees felt that this principle was being flouted as a result of government responses to the economic crisis. Limitations and strengths This study has several limitations. First, the issues addressed in this paper emerged spontaneously during the interviews with service providers; the impact of the recession being not the main focus of the study. During data collection and interview analysis alike, the issue of the possible effect on IPV resources of changes prompted by the crisis emerged as a strong theme; we therefore decided to explore this issue further in the present study. Second, this study focused on professionals’ perceptions about what might happen, because the interviews were conducted before the change of government and implementation of the first spending cuts. As the participants had anticipated, several reforms were implemented which affected health and social services. Nevertheless, the reforms had begun some time previously; for example, the responsibilities of the Spanish Ministry for Equality were reduced and the Ministry itself was absorbed by the Spanish Ministry for Health and Social Policy in 2010, and several regional Institutes for Women began to disappear. Furthermore, key national NGOs working in IPV also disappeared as a consequence of the lack of public funding [50]. To the best of our knowledge, this study represents the first attempt to obtain and synthesise service providers’ opinions about the impact of the current economic crisis on the IPV support services in which they work. The methodology employed in this study and the results on IPV resources are not statistically generalizable; however, they can be used to theorise about how professionals perceive a deterioration in services in times of economic crisis [52]. Thus, the study could be used to inform policy-making in Spain, especially in the current context of severe recession, and may also be of interest to other European countries facing similar challenges in resource allocation [47]. This study has several limitations. First, the issues addressed in this paper emerged spontaneously during the interviews with service providers; the impact of the recession being not the main focus of the study. During data collection and interview analysis alike, the issue of the possible effect on IPV resources of changes prompted by the crisis emerged as a strong theme; we therefore decided to explore this issue further in the present study. Second, this study focused on professionals’ perceptions about what might happen, because the interviews were conducted before the change of government and implementation of the first spending cuts. As the participants had anticipated, several reforms were implemented which affected health and social services. Nevertheless, the reforms had begun some time previously; for example, the responsibilities of the Spanish Ministry for Equality were reduced and the Ministry itself was absorbed by the Spanish Ministry for Health and Social Policy in 2010, and several regional Institutes for Women began to disappear. Furthermore, key national NGOs working in IPV also disappeared as a consequence of the lack of public funding [50]. To the best of our knowledge, this study represents the first attempt to obtain and synthesise service providers’ opinions about the impact of the current economic crisis on the IPV support services in which they work. The methodology employed in this study and the results on IPV resources are not statistically generalizable; however, they can be used to theorise about how professionals perceive a deterioration in services in times of economic crisis [52]. Thus, the study could be used to inform policy-making in Spain, especially in the current context of severe recession, and may also be of interest to other European countries facing similar challenges in resource allocation [47].
[ "Design and participants", "Data collection", "Data analysis", "“Immigrant women have it harder now”", "“IPV and immigration resources are the first in line for cuts”", "“Fewer staff means a less effective service”", "“Equality and IPV policies are no longer a government priority”", "Limitations and strengths" ]
[ "Twenty nine in-depth personal interviews were conducted and four multiple interviews (interviews with two or three interviewees) held with a total of 43 professionals working in NGOs, public institutions and specialised services who gave legal, social, health, employment, family and psychological support to immigrant women (Additional file 1: Table S1). The interviewees came from different cities in Spain (Barcelona, Madrid, Valencia and Alicante). Those cities concentrate 46% of the migrant women population of Spain [12]. We aimed to gain an integrated overview of service provision by including multiple voices and asking different kinds of questions to different participants, adjusting each interview to address the questions appropriate to that participant’s profile [41].\nTheoretical sampling was carried out, including participants with different profiles working in public and private institutions and NGOs capable of contributing to our research question. The first strategy employed to recruit participants was to contact a shelter in Alicante. Next, we recruited professionals working with NGOs via a social worker, and also employed the snowball method - in each interview, information was requested concerning possible contacts.", "The interview guide included a series of topics to be discussed during the interview. A list of lines of inquiry was drawn up to provide guidelines for interaction with interviewees and subsequent organisation of the information. There was no predetermined sequential order, and questions were open-ended. The interview guide was drawn up after reviewing the literature, and also reflected the experience and knowledge of the research team (See Interview guide on Additional file 2).\nThe interview was divided into two sections, with an opening question concerning the professional competences of the interviewees’ specialist areas in the provision of support to immigrant battered women, and a closing question about their general evaluation and the possibility of improving support to immigrant battered women. The first section dealt with their experience with immigrant battered women and the problems encountered, and the second with the interventions carried out and their perceptions about immigrant women’s satisfaction with these interventions and resources.\nThe interviews were carried out by one member of the research team and lasted between 35 and 90 min. All the interviews were conducted in Spanish, which was the mother tongue for both interviewer and participants. The professionals were interviewed at their workplace. We continued to conduct interviews until data saturation was achieved, meaning that no new information related to the research question was emerging [42]. In keeping with the principles of the Declaration of Helsinki and the Belmont Report, the purpose and procedure of the study were explained, an opportunity to ask questions was provided, and written informed consent was obtained from each participant prior to data collection. During the multiple interviews, the interviewer stressed the importance of respecting others’ opinions and maintaining the privacy of what was said within the group. Ethical approval was sought from the Ethics Committee of the University of Alicante.", "We digitally recorded the interviews and then transcribed them verbatim. Each of the authors examined all the interviews independently, and then met to compare and combine their analyses. Transcripts were imported into qualitative analysis software (Atlas.ti) as a tool for organizing the information, through which the authors analysed the transcripts using qualitative content analysis [43]. Through the texts, we identified meaning units of a sentence or paragraph with the same content. Then we drew up condensed meaning units, namely summarised versions of the initially identified units. These condensed versions were used to generate codes, which were grouped together in order to create categories reflecting the manifest content of the text, namely what the providers explicitly expressed about the impact of the crisis on IPV resources in Spain. Finally, a cross-cutting theme emerged from the categories that reflected the latent content of the interviews.", "Service providers perceived additional obstacles for immigrant women attempting to leave violent relationships, which stemmed from the migration process: no legally valid documentation, language barriers and the lack of support networks, among others. These factors may provoke a situation of greater vulnerability compared with Spanish women and can act as barriers to resource access, making it more difficult for immigrant women to break free from situations of IPV. Furthermore, any difficulties arising from the migration process are exacerbated by the economic crisis.The recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist)\nThe recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist)\nThe professionals interviewed considered that being an immigrant frequently entailed exploitative working conditions and socio-economic insecurity. In addition, the economic crisis has intensified women’s economic insecurity.Another consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge)As long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists)\nAnother consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge)\nAs long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists)\nThey believe that the recession in Spain is having a negative effect on immigrant women’s opportunities for economic empowerment, because high unemployment rates and scarce job opportunities have reduced immigrant women’s possibilities of entering the workforce and achieving the economic independence. Thus, not only are their opportunities for attaining independence diminished, but their ties of economic dependence on the abuser are strengthened, rendering it more difficult for them to leave a violent relationship.And the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker)\nAnd the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker)", "At the time of the interviews, the service providers were already reporting shortages and a lack of the resources necessary to provide support in cases of IPV, even before the reforms prompted by the economic crisis had begun to take their toll.Both you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator)Health services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist)\nBoth you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator)\nHealth services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist)\nThey expressed concern about resource provision as the recession deepens, anticipating a reduction in IPV services and resources due to budget cuts as a result of dwindling funding for these purposes.There aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker)\nThere aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker)\nThey felt that cutbacks in social programmes would affect the availability of essential resources for immigrant women in situations of abuse. There was also concern that economic and social cuts by the new government would adversely affect the allocation of IPV resources nationally, as would the government’s policies on changing the administrative structure of assistance.Let’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists)If we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker)\nLet’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists)\nIf we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker)\nProviders also suspected that there would be cutbacks in financial aid such as income support for battered women, an essential resource to ensure women’s economic independence from aggressors. However, there were also more positive opinions expressed about the continuity of IPV support despite the crisis, linked to the personal motivation of some professionals rather than to faith in the structures. In spite of the cuts they anticipated as a result of the economic crisis, some participants expressed positive feelings, mainly about their work as professionals supporting immigrant women. As one of the participants stated “Large or small, every stone helps build a wall” (Interview 5- social worker).I think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist)\nI think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist)\nParticipants expected or anticipated that the scope of activities would continue as before, but that any new programmes or initiatives would be cancelled or delayed due to the crisis. Despite these difficulties, the professionals attempted to compensate for cuts with their own personal efforts and motivation, and continued working.Obviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists)\nObviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists)", "Professionals criticised the lack of human resources in IPV support services and highlighted the need for more specialist staff to meet the specific needs of immigrant women, such as translators or cultural mediators.We don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist)\nWe don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist)\nStaff cuts as a result of reduced budgets impaired the quality of the services offered. Interviewees thought that cuts in IPV services would have an impact on the quality of the support given to the immigrant battered women, because fewer staff meant more work for the remaining professionals and less time for each individual client.For example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator)\nFor example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator)\nAnother result of the recession is that working conditions in IPV services have become harsher, with increased workloads, a freeze on recruitment and reduced shifts and salaries. These shortcomings were highlighted as an obstacle to interventions with women, hampering the provision of effective attention.with the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker)\nwith the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker)", "The professionals interviewed were concerned and uncertain about the immediate future in Spain as regards IPV policies, anticipating reversals in policy prompted by the economic crisis and the arrival of a new government different to the one that enacted the IPV Law.Well, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge)\nWell, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge)\nThey expressed concern about possible amendments to IPV legislation and the potential effects on social policies aimed at the immigrant population of the new government’s reforms in the context of an economic crisis. They felt that this situation represented a step backwards in terms of the advances that Spanish society had achieved through the time and efforts of social and individual stakeholders, such as the people working in IPV services themselves. For example, the politicians were threatening to change the specialised IPV courts or the law on IPV, which the politicians were threatening to change.Specialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists)\nSpecialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists)\nParticipants warned that economic crises threaten advances in social policies and equality. They believed that equality policies constituted a structural battle against gender-based violence, and feared that these would stagnate or even be reversed, largely to the detriment of victims. They felt that gender equality, the fight against IPV and the specific needs of the immigrant population were not priorities for policy-makers.What’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists)\nWhat’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists)", "This study has several limitations. First, the issues addressed in this paper emerged spontaneously during the interviews with service providers; the impact of the recession being not the main focus of the study. During data collection and interview analysis alike, the issue of the possible effect on IPV resources of changes prompted by the crisis emerged as a strong theme; we therefore decided to explore this issue further in the present study. Second, this study focused on professionals’ perceptions about what might happen, because the interviews were conducted before the change of government and implementation of the first spending cuts. As the participants had anticipated, several reforms were implemented which affected health and social services. Nevertheless, the reforms had begun some time previously; for example, the responsibilities of the Spanish Ministry for Equality were reduced and the Ministry itself was absorbed by the Spanish Ministry for Health and Social Policy in 2010, and several regional Institutes for Women began to disappear. Furthermore, key national NGOs working in IPV also disappeared as a consequence of the lack of public funding [50].\nTo the best of our knowledge, this study represents the first attempt to obtain and synthesise service providers’ opinions about the impact of the current economic crisis on the IPV support services in which they work. The methodology employed in this study and the results on IPV resources are not statistically generalizable; however, they can be used to theorise about how professionals perceive a deterioration in services in times of economic crisis [52]. Thus, the study could be used to inform policy-making in Spain, especially in the current context of severe recession, and may also be of interest to other European countries facing similar challenges in resource allocation [47]." ]
[ null, null, null, null, null, null, null, null ]
[ "Introduction", "Methods", "Design and participants", "Data collection", "Data analysis", "Results", "“Immigrant women have it harder now”", "“IPV and immigration resources are the first in line for cuts”", "“Fewer staff means a less effective service”", "“Equality and IPV policies are no longer a government priority”", "Discussion", "Conclusions", "Limitations and strengths" ]
[ "Violence against women (VAW) is an extreme manifestation of gender inequality in society and a serious violation of fundamental human rights. The United Nations declaration on the Elimination of VAW defines it as any act of gender-based violence that results in, or is likely to result in, physical, sexual or psychological harm or suffering to women, including threats of acts such as coercion or arbitrary deprivation of liberty, whether occurring in public or private life [1]. Intimate Partner Violence (IPV) against women is the most common type of male VAW. It takes place within couples, and the perpetrators are almost exclusively men who are or who have been in an intimate relationship with the woman [2].\nIPV against women occurs without exception in all countries, all cultures and at every level of society [3]. In the EU-27, it affects between 20% and 25% of adult women who have ever had an intimate partner [4]. However, within countries, some populations of women may be at greater vulnerable situation such is the case of migrant women due to different factors related to social exclusion: expatriation, lack of legal immigrant status, economic hardship and economic dependence on their partners [5-11].\nAt the end of 2012, a total of 314,358 persons from abroad set up residence in Spain. Although males traditionally maintained a slightly higher prevalence, women accounted at least for 48% of the total of foreigners that arrived to Spain [12]. The majority of immigrant women living in Spain come from Morocco, East Europe, Ecuador and Colombia. A cross-sectional study of 10,202 women attending primary health care centres showed an IPV of 27.9% in migrants compared to 14.3% in Spanish women [13]. According to the Annual Report of The National Observatory on Violence against women, in 2012, 47% of intimate partner violence-related murders in Spain were produced among migrant women [14].\nSeveral advances in IPV and immigration policies have been achieved in recent years in Spain which have facilitated immigrant women’s access to resources, including the Organic Law/2004 [15]. According to this one, the public sector in Spain (state, regional and local government) is required to provide support to female victims of IPV in the form of information, comprehensive welfare services and free legal aid. This is delivered through 24-hour specialist emergency services, IPV-based courts and specialist units in the state security bodies, and involves professionals from different disciplines (physicians, psychologists, psychiatrists, lawyers, sociologists, educators, social workers, employment specialists). Provided support encompasses health care, emergency services, assistance, accommodation and comprehensive recovery. Support also includes social welfare benefits (unemployment benefit, income support), protection measures, job placement programmes, general and specialised social services (information, counselling, social support, follow up on women’s rights claims, educational support for the family, preventive education and support for vocational training and job seeking), a mobile telecare service, women’s shelters, and priority access to public housing and public residential homes for senior citizens. According to the 2004 law all these resources should be available to all women once an official complaint has been lodged. However, the lack of reports informing on the nationality of women accessing such resources does not allow to point out differences/inequalities on access to such services between immigrant and non-immigrant women exposed to IPV in Spain.\nThe Organic Law 10/2011 of July 27, 2011 extends the rights of battered immigrant women in an irregular situation, establishing the possibility of requesting permission to reside (including their children) and work due to exceptional circumstances once a restraining order has been granted. Such permission is not definitively approved until criminal proceedings have concluded. They can also apply for provisional authorization to reside and work due to exceptional circumstances at the time of filing the official complaint [16]. NGOs also play a key role in providing care for immigrant women, particularly immigrant associations, since translation and cultural mediation services are not required by law, and are even less likely to be provided now that funding for these resources has been removed. In addition to these State policies, it is important to note that Spain is divided into Autonomous Communities at regional level. Each of the Autonomous Communities has its own government and adopts its own policies, although following some common national policy guidelines. For example, the afore mentioned Organic Law 1/2004 on Comprehensive Protection Measures against Gender-Based Violence is applicable throughout the country, but each region can also have its own law on gender-based violence. Meanwhile, there are 17 Social Services Acts, one for each of the Autonomous Communities. These Acts differ in terms of social rights, social services, and social expenditure. In terms of the health-sector response to IPV whilst all the regions have developed protocols and guidelines, great variation exist between regions in terms of training programs, intersectorial coordination and monitoring systems [17].\nThe current global recession has prompted a wide range of economic, political and social reforms in Europe and Spain which involve cutbacks in social investment [18-20]. These policies reflect the priority given by governments to reduce their fiscal deficits by cutting back on social expenditure [21]. The concomitant dismantling of the welfare state means that social and health care services are the first to be affected by government austerity measures [22,23]. For example, between 2006 and 2011 the percentage of the total Spanish State Budget allocated to health care fell from 35.2% to 33.7% (almost 2 points), representing a reduction of more than 8 million Euros [19]. Other institutional reports have indicated that per capita social expenditure in the period 2009–2011 fell significantly by a state-wide average of 4.4% [24]. In 2011, the at-risk-of-poverty rate stood at 21.8% for the population of Spain, and one in four people under the age of 16 were living below the poverty line [25].\nAusterity measures are harming the social well-being of the populations affected [26,27]. Previous research has shown that due to their effects on the labour market and resource access, economic downturns have negative consequences for public health [23,28,29]. Similarly, social inequalities between population groups widen during recessions; rising unemployment and poverty hit the most disadvantaged hardest and increase their vulnerability [30,31]. In the particular case of the immigrant population in Spain, it has already been observed that those who still do not return to their country of origin are among the many unemployed who struggle to meet very basic needs for food, housing, health, education, and social protection [32].\nImplementation of public IPV policies depends heavily on the service providers [33], and they can also be an important source of information about the impact of the economic crisis on social strategies targeting immigrant women. Therefore, an analysis which takes into account the perspectives of those involved might identify the factors which could prevent the crisis from affecting public health [23,34]. The effects of the reforms prompted by the current economic crisis on IPV resources have not been explored in Spain [35]. An exploration of service providers’ opinions and concerns about areas under threat could serve as a first step in formulating policy and research actions [36-38]. Meanwhile, at an organisational level, it is necessary to study how professionals tackle changing conditions [39].\nThis study formed part of a wider research project examining the determinants of access to the health and social services available in Spain for tackling IPV in general, and among immigrant women in particular [40]. Concern about anticipated spending cuts prompted by the crisis and their impact on resources was a theme that emerged from the interviews, since the fieldwork was conducted in a context of an economic recession (March-December, 2011). Therefore, the aim of the present study was to explore IPV service providers’ perceptions concerning the impact of the economic crisis on both the changing availability of IPV-related services and their own capacity to respond to immigrant women experiencing IPV in Spain.", " Design and participants Twenty nine in-depth personal interviews were conducted and four multiple interviews (interviews with two or three interviewees) held with a total of 43 professionals working in NGOs, public institutions and specialised services who gave legal, social, health, employment, family and psychological support to immigrant women (Additional file 1: Table S1). The interviewees came from different cities in Spain (Barcelona, Madrid, Valencia and Alicante). Those cities concentrate 46% of the migrant women population of Spain [12]. We aimed to gain an integrated overview of service provision by including multiple voices and asking different kinds of questions to different participants, adjusting each interview to address the questions appropriate to that participant’s profile [41].\nTheoretical sampling was carried out, including participants with different profiles working in public and private institutions and NGOs capable of contributing to our research question. The first strategy employed to recruit participants was to contact a shelter in Alicante. Next, we recruited professionals working with NGOs via a social worker, and also employed the snowball method - in each interview, information was requested concerning possible contacts.\nTwenty nine in-depth personal interviews were conducted and four multiple interviews (interviews with two or three interviewees) held with a total of 43 professionals working in NGOs, public institutions and specialised services who gave legal, social, health, employment, family and psychological support to immigrant women (Additional file 1: Table S1). The interviewees came from different cities in Spain (Barcelona, Madrid, Valencia and Alicante). Those cities concentrate 46% of the migrant women population of Spain [12]. We aimed to gain an integrated overview of service provision by including multiple voices and asking different kinds of questions to different participants, adjusting each interview to address the questions appropriate to that participant’s profile [41].\nTheoretical sampling was carried out, including participants with different profiles working in public and private institutions and NGOs capable of contributing to our research question. The first strategy employed to recruit participants was to contact a shelter in Alicante. Next, we recruited professionals working with NGOs via a social worker, and also employed the snowball method - in each interview, information was requested concerning possible contacts.\n Data collection The interview guide included a series of topics to be discussed during the interview. A list of lines of inquiry was drawn up to provide guidelines for interaction with interviewees and subsequent organisation of the information. There was no predetermined sequential order, and questions were open-ended. The interview guide was drawn up after reviewing the literature, and also reflected the experience and knowledge of the research team (See Interview guide on Additional file 2).\nThe interview was divided into two sections, with an opening question concerning the professional competences of the interviewees’ specialist areas in the provision of support to immigrant battered women, and a closing question about their general evaluation and the possibility of improving support to immigrant battered women. The first section dealt with their experience with immigrant battered women and the problems encountered, and the second with the interventions carried out and their perceptions about immigrant women’s satisfaction with these interventions and resources.\nThe interviews were carried out by one member of the research team and lasted between 35 and 90 min. All the interviews were conducted in Spanish, which was the mother tongue for both interviewer and participants. The professionals were interviewed at their workplace. We continued to conduct interviews until data saturation was achieved, meaning that no new information related to the research question was emerging [42]. In keeping with the principles of the Declaration of Helsinki and the Belmont Report, the purpose and procedure of the study were explained, an opportunity to ask questions was provided, and written informed consent was obtained from each participant prior to data collection. During the multiple interviews, the interviewer stressed the importance of respecting others’ opinions and maintaining the privacy of what was said within the group. Ethical approval was sought from the Ethics Committee of the University of Alicante.\nThe interview guide included a series of topics to be discussed during the interview. A list of lines of inquiry was drawn up to provide guidelines for interaction with interviewees and subsequent organisation of the information. There was no predetermined sequential order, and questions were open-ended. The interview guide was drawn up after reviewing the literature, and also reflected the experience and knowledge of the research team (See Interview guide on Additional file 2).\nThe interview was divided into two sections, with an opening question concerning the professional competences of the interviewees’ specialist areas in the provision of support to immigrant battered women, and a closing question about their general evaluation and the possibility of improving support to immigrant battered women. The first section dealt with their experience with immigrant battered women and the problems encountered, and the second with the interventions carried out and their perceptions about immigrant women’s satisfaction with these interventions and resources.\nThe interviews were carried out by one member of the research team and lasted between 35 and 90 min. All the interviews were conducted in Spanish, which was the mother tongue for both interviewer and participants. The professionals were interviewed at their workplace. We continued to conduct interviews until data saturation was achieved, meaning that no new information related to the research question was emerging [42]. In keeping with the principles of the Declaration of Helsinki and the Belmont Report, the purpose and procedure of the study were explained, an opportunity to ask questions was provided, and written informed consent was obtained from each participant prior to data collection. During the multiple interviews, the interviewer stressed the importance of respecting others’ opinions and maintaining the privacy of what was said within the group. Ethical approval was sought from the Ethics Committee of the University of Alicante.\n Data analysis We digitally recorded the interviews and then transcribed them verbatim. Each of the authors examined all the interviews independently, and then met to compare and combine their analyses. Transcripts were imported into qualitative analysis software (Atlas.ti) as a tool for organizing the information, through which the authors analysed the transcripts using qualitative content analysis [43]. Through the texts, we identified meaning units of a sentence or paragraph with the same content. Then we drew up condensed meaning units, namely summarised versions of the initially identified units. These condensed versions were used to generate codes, which were grouped together in order to create categories reflecting the manifest content of the text, namely what the providers explicitly expressed about the impact of the crisis on IPV resources in Spain. Finally, a cross-cutting theme emerged from the categories that reflected the latent content of the interviews.\nWe digitally recorded the interviews and then transcribed them verbatim. Each of the authors examined all the interviews independently, and then met to compare and combine their analyses. Transcripts were imported into qualitative analysis software (Atlas.ti) as a tool for organizing the information, through which the authors analysed the transcripts using qualitative content analysis [43]. Through the texts, we identified meaning units of a sentence or paragraph with the same content. Then we drew up condensed meaning units, namely summarised versions of the initially identified units. These condensed versions were used to generate codes, which were grouped together in order to create categories reflecting the manifest content of the text, namely what the providers explicitly expressed about the impact of the crisis on IPV resources in Spain. Finally, a cross-cutting theme emerged from the categories that reflected the latent content of the interviews.", "Twenty nine in-depth personal interviews were conducted and four multiple interviews (interviews with two or three interviewees) held with a total of 43 professionals working in NGOs, public institutions and specialised services who gave legal, social, health, employment, family and psychological support to immigrant women (Additional file 1: Table S1). The interviewees came from different cities in Spain (Barcelona, Madrid, Valencia and Alicante). Those cities concentrate 46% of the migrant women population of Spain [12]. We aimed to gain an integrated overview of service provision by including multiple voices and asking different kinds of questions to different participants, adjusting each interview to address the questions appropriate to that participant’s profile [41].\nTheoretical sampling was carried out, including participants with different profiles working in public and private institutions and NGOs capable of contributing to our research question. The first strategy employed to recruit participants was to contact a shelter in Alicante. Next, we recruited professionals working with NGOs via a social worker, and also employed the snowball method - in each interview, information was requested concerning possible contacts.", "The interview guide included a series of topics to be discussed during the interview. A list of lines of inquiry was drawn up to provide guidelines for interaction with interviewees and subsequent organisation of the information. There was no predetermined sequential order, and questions were open-ended. The interview guide was drawn up after reviewing the literature, and also reflected the experience and knowledge of the research team (See Interview guide on Additional file 2).\nThe interview was divided into two sections, with an opening question concerning the professional competences of the interviewees’ specialist areas in the provision of support to immigrant battered women, and a closing question about their general evaluation and the possibility of improving support to immigrant battered women. The first section dealt with their experience with immigrant battered women and the problems encountered, and the second with the interventions carried out and their perceptions about immigrant women’s satisfaction with these interventions and resources.\nThe interviews were carried out by one member of the research team and lasted between 35 and 90 min. All the interviews were conducted in Spanish, which was the mother tongue for both interviewer and participants. The professionals were interviewed at their workplace. We continued to conduct interviews until data saturation was achieved, meaning that no new information related to the research question was emerging [42]. In keeping with the principles of the Declaration of Helsinki and the Belmont Report, the purpose and procedure of the study were explained, an opportunity to ask questions was provided, and written informed consent was obtained from each participant prior to data collection. During the multiple interviews, the interviewer stressed the importance of respecting others’ opinions and maintaining the privacy of what was said within the group. Ethical approval was sought from the Ethics Committee of the University of Alicante.", "We digitally recorded the interviews and then transcribed them verbatim. Each of the authors examined all the interviews independently, and then met to compare and combine their analyses. Transcripts were imported into qualitative analysis software (Atlas.ti) as a tool for organizing the information, through which the authors analysed the transcripts using qualitative content analysis [43]. Through the texts, we identified meaning units of a sentence or paragraph with the same content. Then we drew up condensed meaning units, namely summarised versions of the initially identified units. These condensed versions were used to generate codes, which were grouped together in order to create categories reflecting the manifest content of the text, namely what the providers explicitly expressed about the impact of the crisis on IPV resources in Spain. Finally, a cross-cutting theme emerged from the categories that reflected the latent content of the interviews.", "The analysis of the interviews with service providers revealed four categories related to the negative impact of the reforms prompted by the economic crisis, as perceived by professionals: a) “Immigrant women have it harder now”, b) “IPV and immigration resources are the first in line for cuts”, c) “Fewer staff means a less effective service” and d) “Equality and IPV policies are no longer a government priority”. These categories described the perceived and anticipated effects of changes in the allocation of resources for IPV support (Additional file 3: Figure S1).\nA cross-cutting theme emerged from the categories, which expressed the latent content of the interviews: Immigrant women are triply affected; by IPV, by the economic crisis and by structural violence. Service providers perceived immigrant women to be particularly vulnerable to IPV, on the one hand, and to the effects of the recession on the other. In the opinion of the professionals interviewed, the economic crisis could lead to structural violence against immigrant women who experience IPV; they anticipated a reduction in support resources for these women as a result of budget cuts, and consequently, fewer opportunities for the empowerment which would enable them escape from situations of IPV (Additional file 3: Figure S1).\n “Immigrant women have it harder now” Service providers perceived additional obstacles for immigrant women attempting to leave violent relationships, which stemmed from the migration process: no legally valid documentation, language barriers and the lack of support networks, among others. These factors may provoke a situation of greater vulnerability compared with Spanish women and can act as barriers to resource access, making it more difficult for immigrant women to break free from situations of IPV. Furthermore, any difficulties arising from the migration process are exacerbated by the economic crisis.The recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist)\nThe recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist)\nThe professionals interviewed considered that being an immigrant frequently entailed exploitative working conditions and socio-economic insecurity. In addition, the economic crisis has intensified women’s economic insecurity.Another consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge)As long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists)\nAnother consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge)\nAs long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists)\nThey believe that the recession in Spain is having a negative effect on immigrant women’s opportunities for economic empowerment, because high unemployment rates and scarce job opportunities have reduced immigrant women’s possibilities of entering the workforce and achieving the economic independence. Thus, not only are their opportunities for attaining independence diminished, but their ties of economic dependence on the abuser are strengthened, rendering it more difficult for them to leave a violent relationship.And the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker)\nAnd the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker)\nService providers perceived additional obstacles for immigrant women attempting to leave violent relationships, which stemmed from the migration process: no legally valid documentation, language barriers and the lack of support networks, among others. These factors may provoke a situation of greater vulnerability compared with Spanish women and can act as barriers to resource access, making it more difficult for immigrant women to break free from situations of IPV. Furthermore, any difficulties arising from the migration process are exacerbated by the economic crisis.The recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist)\nThe recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist)\nThe professionals interviewed considered that being an immigrant frequently entailed exploitative working conditions and socio-economic insecurity. In addition, the economic crisis has intensified women’s economic insecurity.Another consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge)As long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists)\nAnother consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge)\nAs long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists)\nThey believe that the recession in Spain is having a negative effect on immigrant women’s opportunities for economic empowerment, because high unemployment rates and scarce job opportunities have reduced immigrant women’s possibilities of entering the workforce and achieving the economic independence. Thus, not only are their opportunities for attaining independence diminished, but their ties of economic dependence on the abuser are strengthened, rendering it more difficult for them to leave a violent relationship.And the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker)\nAnd the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker)\n “IPV and immigration resources are the first in line for cuts” At the time of the interviews, the service providers were already reporting shortages and a lack of the resources necessary to provide support in cases of IPV, even before the reforms prompted by the economic crisis had begun to take their toll.Both you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator)Health services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist)\nBoth you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator)\nHealth services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist)\nThey expressed concern about resource provision as the recession deepens, anticipating a reduction in IPV services and resources due to budget cuts as a result of dwindling funding for these purposes.There aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker)\nThere aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker)\nThey felt that cutbacks in social programmes would affect the availability of essential resources for immigrant women in situations of abuse. There was also concern that economic and social cuts by the new government would adversely affect the allocation of IPV resources nationally, as would the government’s policies on changing the administrative structure of assistance.Let’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists)If we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker)\nLet’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists)\nIf we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker)\nProviders also suspected that there would be cutbacks in financial aid such as income support for battered women, an essential resource to ensure women’s economic independence from aggressors. However, there were also more positive opinions expressed about the continuity of IPV support despite the crisis, linked to the personal motivation of some professionals rather than to faith in the structures. In spite of the cuts they anticipated as a result of the economic crisis, some participants expressed positive feelings, mainly about their work as professionals supporting immigrant women. As one of the participants stated “Large or small, every stone helps build a wall” (Interview 5- social worker).I think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist)\nI think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist)\nParticipants expected or anticipated that the scope of activities would continue as before, but that any new programmes or initiatives would be cancelled or delayed due to the crisis. Despite these difficulties, the professionals attempted to compensate for cuts with their own personal efforts and motivation, and continued working.Obviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists)\nObviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists)\nAt the time of the interviews, the service providers were already reporting shortages and a lack of the resources necessary to provide support in cases of IPV, even before the reforms prompted by the economic crisis had begun to take their toll.Both you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator)Health services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist)\nBoth you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator)\nHealth services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist)\nThey expressed concern about resource provision as the recession deepens, anticipating a reduction in IPV services and resources due to budget cuts as a result of dwindling funding for these purposes.There aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker)\nThere aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker)\nThey felt that cutbacks in social programmes would affect the availability of essential resources for immigrant women in situations of abuse. There was also concern that economic and social cuts by the new government would adversely affect the allocation of IPV resources nationally, as would the government’s policies on changing the administrative structure of assistance.Let’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists)If we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker)\nLet’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists)\nIf we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker)\nProviders also suspected that there would be cutbacks in financial aid such as income support for battered women, an essential resource to ensure women’s economic independence from aggressors. However, there were also more positive opinions expressed about the continuity of IPV support despite the crisis, linked to the personal motivation of some professionals rather than to faith in the structures. In spite of the cuts they anticipated as a result of the economic crisis, some participants expressed positive feelings, mainly about their work as professionals supporting immigrant women. As one of the participants stated “Large or small, every stone helps build a wall” (Interview 5- social worker).I think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist)\nI think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist)\nParticipants expected or anticipated that the scope of activities would continue as before, but that any new programmes or initiatives would be cancelled or delayed due to the crisis. Despite these difficulties, the professionals attempted to compensate for cuts with their own personal efforts and motivation, and continued working.Obviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists)\nObviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists)\n “Fewer staff means a less effective service” Professionals criticised the lack of human resources in IPV support services and highlighted the need for more specialist staff to meet the specific needs of immigrant women, such as translators or cultural mediators.We don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist)\nWe don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist)\nStaff cuts as a result of reduced budgets impaired the quality of the services offered. Interviewees thought that cuts in IPV services would have an impact on the quality of the support given to the immigrant battered women, because fewer staff meant more work for the remaining professionals and less time for each individual client.For example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator)\nFor example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator)\nAnother result of the recession is that working conditions in IPV services have become harsher, with increased workloads, a freeze on recruitment and reduced shifts and salaries. These shortcomings were highlighted as an obstacle to interventions with women, hampering the provision of effective attention.with the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker)\nwith the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker)\nProfessionals criticised the lack of human resources in IPV support services and highlighted the need for more specialist staff to meet the specific needs of immigrant women, such as translators or cultural mediators.We don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist)\nWe don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist)\nStaff cuts as a result of reduced budgets impaired the quality of the services offered. Interviewees thought that cuts in IPV services would have an impact on the quality of the support given to the immigrant battered women, because fewer staff meant more work for the remaining professionals and less time for each individual client.For example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator)\nFor example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator)\nAnother result of the recession is that working conditions in IPV services have become harsher, with increased workloads, a freeze on recruitment and reduced shifts and salaries. These shortcomings were highlighted as an obstacle to interventions with women, hampering the provision of effective attention.with the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker)\nwith the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker)\n “Equality and IPV policies are no longer a government priority” The professionals interviewed were concerned and uncertain about the immediate future in Spain as regards IPV policies, anticipating reversals in policy prompted by the economic crisis and the arrival of a new government different to the one that enacted the IPV Law.Well, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge)\nWell, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge)\nThey expressed concern about possible amendments to IPV legislation and the potential effects on social policies aimed at the immigrant population of the new government’s reforms in the context of an economic crisis. They felt that this situation represented a step backwards in terms of the advances that Spanish society had achieved through the time and efforts of social and individual stakeholders, such as the people working in IPV services themselves. For example, the politicians were threatening to change the specialised IPV courts or the law on IPV, which the politicians were threatening to change.Specialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists)\nSpecialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists)\nParticipants warned that economic crises threaten advances in social policies and equality. They believed that equality policies constituted a structural battle against gender-based violence, and feared that these would stagnate or even be reversed, largely to the detriment of victims. They felt that gender equality, the fight against IPV and the specific needs of the immigrant population were not priorities for policy-makers.What’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists)\nWhat’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists)\nThe professionals interviewed were concerned and uncertain about the immediate future in Spain as regards IPV policies, anticipating reversals in policy prompted by the economic crisis and the arrival of a new government different to the one that enacted the IPV Law.Well, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge)\nWell, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge)\nThey expressed concern about possible amendments to IPV legislation and the potential effects on social policies aimed at the immigrant population of the new government’s reforms in the context of an economic crisis. They felt that this situation represented a step backwards in terms of the advances that Spanish society had achieved through the time and efforts of social and individual stakeholders, such as the people working in IPV services themselves. For example, the politicians were threatening to change the specialised IPV courts or the law on IPV, which the politicians were threatening to change.Specialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists)\nSpecialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists)\nParticipants warned that economic crises threaten advances in social policies and equality. They believed that equality policies constituted a structural battle against gender-based violence, and feared that these would stagnate or even be reversed, largely to the detriment of victims. They felt that gender equality, the fight against IPV and the specific needs of the immigrant population were not priorities for policy-makers.What’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists)\nWhat’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists)", "Service providers perceived additional obstacles for immigrant women attempting to leave violent relationships, which stemmed from the migration process: no legally valid documentation, language barriers and the lack of support networks, among others. These factors may provoke a situation of greater vulnerability compared with Spanish women and can act as barriers to resource access, making it more difficult for immigrant women to break free from situations of IPV. Furthermore, any difficulties arising from the migration process are exacerbated by the economic crisis.The recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist)\nThe recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist)\nThe professionals interviewed considered that being an immigrant frequently entailed exploitative working conditions and socio-economic insecurity. In addition, the economic crisis has intensified women’s economic insecurity.Another consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge)As long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists)\nAnother consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge)\nAs long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists)\nThey believe that the recession in Spain is having a negative effect on immigrant women’s opportunities for economic empowerment, because high unemployment rates and scarce job opportunities have reduced immigrant women’s possibilities of entering the workforce and achieving the economic independence. Thus, not only are their opportunities for attaining independence diminished, but their ties of economic dependence on the abuser are strengthened, rendering it more difficult for them to leave a violent relationship.And the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker)\nAnd the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker)", "At the time of the interviews, the service providers were already reporting shortages and a lack of the resources necessary to provide support in cases of IPV, even before the reforms prompted by the economic crisis had begun to take their toll.Both you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator)Health services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist)\nBoth you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator)\nHealth services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist)\nThey expressed concern about resource provision as the recession deepens, anticipating a reduction in IPV services and resources due to budget cuts as a result of dwindling funding for these purposes.There aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker)\nThere aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker)\nThey felt that cutbacks in social programmes would affect the availability of essential resources for immigrant women in situations of abuse. There was also concern that economic and social cuts by the new government would adversely affect the allocation of IPV resources nationally, as would the government’s policies on changing the administrative structure of assistance.Let’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists)If we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker)\nLet’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists)\nIf we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker)\nProviders also suspected that there would be cutbacks in financial aid such as income support for battered women, an essential resource to ensure women’s economic independence from aggressors. However, there were also more positive opinions expressed about the continuity of IPV support despite the crisis, linked to the personal motivation of some professionals rather than to faith in the structures. In spite of the cuts they anticipated as a result of the economic crisis, some participants expressed positive feelings, mainly about their work as professionals supporting immigrant women. As one of the participants stated “Large or small, every stone helps build a wall” (Interview 5- social worker).I think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist)\nI think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist)\nParticipants expected or anticipated that the scope of activities would continue as before, but that any new programmes or initiatives would be cancelled or delayed due to the crisis. Despite these difficulties, the professionals attempted to compensate for cuts with their own personal efforts and motivation, and continued working.Obviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists)\nObviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists)", "Professionals criticised the lack of human resources in IPV support services and highlighted the need for more specialist staff to meet the specific needs of immigrant women, such as translators or cultural mediators.We don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist)\nWe don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist)\nStaff cuts as a result of reduced budgets impaired the quality of the services offered. Interviewees thought that cuts in IPV services would have an impact on the quality of the support given to the immigrant battered women, because fewer staff meant more work for the remaining professionals and less time for each individual client.For example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator)\nFor example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator)\nAnother result of the recession is that working conditions in IPV services have become harsher, with increased workloads, a freeze on recruitment and reduced shifts and salaries. These shortcomings were highlighted as an obstacle to interventions with women, hampering the provision of effective attention.with the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker)\nwith the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker)", "The professionals interviewed were concerned and uncertain about the immediate future in Spain as regards IPV policies, anticipating reversals in policy prompted by the economic crisis and the arrival of a new government different to the one that enacted the IPV Law.Well, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge)\nWell, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge)\nThey expressed concern about possible amendments to IPV legislation and the potential effects on social policies aimed at the immigrant population of the new government’s reforms in the context of an economic crisis. They felt that this situation represented a step backwards in terms of the advances that Spanish society had achieved through the time and efforts of social and individual stakeholders, such as the people working in IPV services themselves. For example, the politicians were threatening to change the specialised IPV courts or the law on IPV, which the politicians were threatening to change.Specialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists)\nSpecialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists)\nParticipants warned that economic crises threaten advances in social policies and equality. They believed that equality policies constituted a structural battle against gender-based violence, and feared that these would stagnate or even be reversed, largely to the detriment of victims. They felt that gender equality, the fight against IPV and the specific needs of the immigrant population were not priorities for policy-makers.What’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists)\nWhat’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists)", "This study points out two important aspects regarding how professionals perceived the effect of austerity measures on the resources available for immigrant women exposed to IPV. First, they considered that the economic crisis was hitting harder immigrant women compared to non immigrant women. They also considered that the crisis had led to cutbacks of funding that were affecting the quality of the services they were offering to women exposed to IPV in general, and to immigrant women in particular. Secondly, they were pessimistic in terms of the future. Policy changes and economic cuts in health and social services were identified as the main threats to IPV services. These changes were expected to set drawbacks in policies and programs related to migrants’ rights and gender equality.\nThe results are consistent with those reported in other studies, in that they indicate that the economic crisis may contribute to increasing the risk of social exclusion among certain populations, which in the specific case of this study would imply increased vulnerability among immigrant women to remaining in a situation of IPV [44]. It is well known that the context of migration poses additional difficulties associated with situations of greater social vulnerability, such as the lack of a residence permit, existence of language barriers and the lack of support networks in the event of difficulties or problems [45,46,10]. The crisis adds to this burden by increasing unemployment rates among immigrant women, with the consequent deterioration in their standard of living, increased economic dependence on violent partners and decreased chances of finding employment.\nThe results indicate that service providers experience an overwhelming amount of work followed by burnout, which in turn affects the care given to women. On the one hand, the professionals interviewed were already beginning to experience funding cuts, in line with the general tendency among governments in times of recession to reduce public spending by implementing changes in funding, prioritisation and governmental regulation, and by decentralising health services [38]. That could be explained because they are considered as “unproductive” components of government spending [20]. In consequence, and as the results show, such services are subject to staff cuts, leading to an overload of work and the risk of burnout among the staff who are still employed. Other studies have indicated that one of the main barriers to the provision of effective care in cases of IPV is understaffing, given that in times of economic recession it is more difficult to ensure the quality of care by hiring interpreters or staff with specialised training in matters related to immigration and intercultural skills [47,48]. This reduction in staffing levels is worrying because when other resources are being cut at national level (macro level) or regional level (meso level), the professional role of human resources (micro level) becomes decisive [47,49].\nAs regards future expectations, the service providers interviewed in this study anticipated that IPV services and services aimed at vulnerable populations were particularly at risk in the current economic climate. Participants thought that the new government would cut public services, and that the lack of economic resources would lead to a reduction in infrastructures and staff and the closure of some services. This would have a negative impact on their ability to respond to IPV, especially in the case of immigrant women because these are exposed to multiple factors of social exclusion. These predictions have subsequently been confirmed: several services frequently utilised by immigrants, such as NGOs, are closing due to budget cuts, and immigrants’ free access to health services has been curtailed [27,50]. Current health reforms will hinder the protection of immigrant women living in Spain –those without official immigrant status and experiencing IPV- as they will be excluded from the health system. Consequently, they will not be able to provide crucial evidence when they need to apply for a restraining order against their aggressor. Both their perceptions and the confirmed facts indicate that the effect of macroeconomic and neo-liberal political reforms is to impose structural violence on vulnerable populations because, on the one hand, such reforms increase individual and community vulnerability to specific problems, and on the other hand, they lead to a dismantling of already debilitated public services [51].\nAs well, they were right about the change of government and the impact on IPV support policies and strategies. In Spain, from 2004 to 2011, the previous socialist government was heavily committed to the implementation of IPV services, especially following enactment of Organic Law 1/2004 on gender-based violence. These facts confirm that, what the professionals considered to be consequences of the crisis, however, were in fact the effects of government priorities prompted by the recession, priorities which have meant that today, the health and social services are facing financial constraints [36]. Proof of this is that spending on equality policies has been changed and some of these policies are being reformulated to the detriment of women’s fundamental rights, such as the right to abortion. In this sense, there is a need for further research about how policies towards mitigating IPV in immigrant women operate in other European countries and whether EU countries have introduced similar cuts.", "These findings lead us to conclude that the policy changes prompted by the crisis hinder effective coverage of services for women victims of IPV in general, and more specifically, for immigrant women in this situation. The present study revealed that service providers tended to think that IPV services and programmes, and especially those for immigrant women, were under threat, since politicians might considered them the most dispensable aspect of the health and social services. Although the maintenance of services and programmes for immigrant battered women is a question of equality, the interviewees felt that this principle was being flouted as a result of government responses to the economic crisis.\n Limitations and strengths This study has several limitations. First, the issues addressed in this paper emerged spontaneously during the interviews with service providers; the impact of the recession being not the main focus of the study. During data collection and interview analysis alike, the issue of the possible effect on IPV resources of changes prompted by the crisis emerged as a strong theme; we therefore decided to explore this issue further in the present study. Second, this study focused on professionals’ perceptions about what might happen, because the interviews were conducted before the change of government and implementation of the first spending cuts. As the participants had anticipated, several reforms were implemented which affected health and social services. Nevertheless, the reforms had begun some time previously; for example, the responsibilities of the Spanish Ministry for Equality were reduced and the Ministry itself was absorbed by the Spanish Ministry for Health and Social Policy in 2010, and several regional Institutes for Women began to disappear. Furthermore, key national NGOs working in IPV also disappeared as a consequence of the lack of public funding [50].\nTo the best of our knowledge, this study represents the first attempt to obtain and synthesise service providers’ opinions about the impact of the current economic crisis on the IPV support services in which they work. The methodology employed in this study and the results on IPV resources are not statistically generalizable; however, they can be used to theorise about how professionals perceive a deterioration in services in times of economic crisis [52]. Thus, the study could be used to inform policy-making in Spain, especially in the current context of severe recession, and may also be of interest to other European countries facing similar challenges in resource allocation [47].\nThis study has several limitations. First, the issues addressed in this paper emerged spontaneously during the interviews with service providers; the impact of the recession being not the main focus of the study. During data collection and interview analysis alike, the issue of the possible effect on IPV resources of changes prompted by the crisis emerged as a strong theme; we therefore decided to explore this issue further in the present study. Second, this study focused on professionals’ perceptions about what might happen, because the interviews were conducted before the change of government and implementation of the first spending cuts. As the participants had anticipated, several reforms were implemented which affected health and social services. Nevertheless, the reforms had begun some time previously; for example, the responsibilities of the Spanish Ministry for Equality were reduced and the Ministry itself was absorbed by the Spanish Ministry for Health and Social Policy in 2010, and several regional Institutes for Women began to disappear. Furthermore, key national NGOs working in IPV also disappeared as a consequence of the lack of public funding [50].\nTo the best of our knowledge, this study represents the first attempt to obtain and synthesise service providers’ opinions about the impact of the current economic crisis on the IPV support services in which they work. The methodology employed in this study and the results on IPV resources are not statistically generalizable; however, they can be used to theorise about how professionals perceive a deterioration in services in times of economic crisis [52]. Thus, the study could be used to inform policy-making in Spain, especially in the current context of severe recession, and may also be of interest to other European countries facing similar challenges in resource allocation [47].", "This study has several limitations. First, the issues addressed in this paper emerged spontaneously during the interviews with service providers; the impact of the recession being not the main focus of the study. During data collection and interview analysis alike, the issue of the possible effect on IPV resources of changes prompted by the crisis emerged as a strong theme; we therefore decided to explore this issue further in the present study. Second, this study focused on professionals’ perceptions about what might happen, because the interviews were conducted before the change of government and implementation of the first spending cuts. As the participants had anticipated, several reforms were implemented which affected health and social services. Nevertheless, the reforms had begun some time previously; for example, the responsibilities of the Spanish Ministry for Equality were reduced and the Ministry itself was absorbed by the Spanish Ministry for Health and Social Policy in 2010, and several regional Institutes for Women began to disappear. Furthermore, key national NGOs working in IPV also disappeared as a consequence of the lack of public funding [50].\nTo the best of our knowledge, this study represents the first attempt to obtain and synthesise service providers’ opinions about the impact of the current economic crisis on the IPV support services in which they work. The methodology employed in this study and the results on IPV resources are not statistically generalizable; however, they can be used to theorise about how professionals perceive a deterioration in services in times of economic crisis [52]. Thus, the study could be used to inform policy-making in Spain, especially in the current context of severe recession, and may also be of interest to other European countries facing similar challenges in resource allocation [47]." ]
[ "introduction", "materials|methods", null, null, null, "results", null, null, null, null, "discussion", "conclusion", null ]
[ "Intimate partner violence", "Immigrant women", "Crisis", "Qualitative study", "Spain", "Violencia del Compañero Íntimo", "Mujeres inmigrantes", "Crisis", "Estudio cualitativo", "España" ]
Introduction: Violence against women (VAW) is an extreme manifestation of gender inequality in society and a serious violation of fundamental human rights. The United Nations declaration on the Elimination of VAW defines it as any act of gender-based violence that results in, or is likely to result in, physical, sexual or psychological harm or suffering to women, including threats of acts such as coercion or arbitrary deprivation of liberty, whether occurring in public or private life [1]. Intimate Partner Violence (IPV) against women is the most common type of male VAW. It takes place within couples, and the perpetrators are almost exclusively men who are or who have been in an intimate relationship with the woman [2]. IPV against women occurs without exception in all countries, all cultures and at every level of society [3]. In the EU-27, it affects between 20% and 25% of adult women who have ever had an intimate partner [4]. However, within countries, some populations of women may be at greater vulnerable situation such is the case of migrant women due to different factors related to social exclusion: expatriation, lack of legal immigrant status, economic hardship and economic dependence on their partners [5-11]. At the end of 2012, a total of 314,358 persons from abroad set up residence in Spain. Although males traditionally maintained a slightly higher prevalence, women accounted at least for 48% of the total of foreigners that arrived to Spain [12]. The majority of immigrant women living in Spain come from Morocco, East Europe, Ecuador and Colombia. A cross-sectional study of 10,202 women attending primary health care centres showed an IPV of 27.9% in migrants compared to 14.3% in Spanish women [13]. According to the Annual Report of The National Observatory on Violence against women, in 2012, 47% of intimate partner violence-related murders in Spain were produced among migrant women [14]. Several advances in IPV and immigration policies have been achieved in recent years in Spain which have facilitated immigrant women’s access to resources, including the Organic Law/2004 [15]. According to this one, the public sector in Spain (state, regional and local government) is required to provide support to female victims of IPV in the form of information, comprehensive welfare services and free legal aid. This is delivered through 24-hour specialist emergency services, IPV-based courts and specialist units in the state security bodies, and involves professionals from different disciplines (physicians, psychologists, psychiatrists, lawyers, sociologists, educators, social workers, employment specialists). Provided support encompasses health care, emergency services, assistance, accommodation and comprehensive recovery. Support also includes social welfare benefits (unemployment benefit, income support), protection measures, job placement programmes, general and specialised social services (information, counselling, social support, follow up on women’s rights claims, educational support for the family, preventive education and support for vocational training and job seeking), a mobile telecare service, women’s shelters, and priority access to public housing and public residential homes for senior citizens. According to the 2004 law all these resources should be available to all women once an official complaint has been lodged. However, the lack of reports informing on the nationality of women accessing such resources does not allow to point out differences/inequalities on access to such services between immigrant and non-immigrant women exposed to IPV in Spain. The Organic Law 10/2011 of July 27, 2011 extends the rights of battered immigrant women in an irregular situation, establishing the possibility of requesting permission to reside (including their children) and work due to exceptional circumstances once a restraining order has been granted. Such permission is not definitively approved until criminal proceedings have concluded. They can also apply for provisional authorization to reside and work due to exceptional circumstances at the time of filing the official complaint [16]. NGOs also play a key role in providing care for immigrant women, particularly immigrant associations, since translation and cultural mediation services are not required by law, and are even less likely to be provided now that funding for these resources has been removed. In addition to these State policies, it is important to note that Spain is divided into Autonomous Communities at regional level. Each of the Autonomous Communities has its own government and adopts its own policies, although following some common national policy guidelines. For example, the afore mentioned Organic Law 1/2004 on Comprehensive Protection Measures against Gender-Based Violence is applicable throughout the country, but each region can also have its own law on gender-based violence. Meanwhile, there are 17 Social Services Acts, one for each of the Autonomous Communities. These Acts differ in terms of social rights, social services, and social expenditure. In terms of the health-sector response to IPV whilst all the regions have developed protocols and guidelines, great variation exist between regions in terms of training programs, intersectorial coordination and monitoring systems [17]. The current global recession has prompted a wide range of economic, political and social reforms in Europe and Spain which involve cutbacks in social investment [18-20]. These policies reflect the priority given by governments to reduce their fiscal deficits by cutting back on social expenditure [21]. The concomitant dismantling of the welfare state means that social and health care services are the first to be affected by government austerity measures [22,23]. For example, between 2006 and 2011 the percentage of the total Spanish State Budget allocated to health care fell from 35.2% to 33.7% (almost 2 points), representing a reduction of more than 8 million Euros [19]. Other institutional reports have indicated that per capita social expenditure in the period 2009–2011 fell significantly by a state-wide average of 4.4% [24]. In 2011, the at-risk-of-poverty rate stood at 21.8% for the population of Spain, and one in four people under the age of 16 were living below the poverty line [25]. Austerity measures are harming the social well-being of the populations affected [26,27]. Previous research has shown that due to their effects on the labour market and resource access, economic downturns have negative consequences for public health [23,28,29]. Similarly, social inequalities between population groups widen during recessions; rising unemployment and poverty hit the most disadvantaged hardest and increase their vulnerability [30,31]. In the particular case of the immigrant population in Spain, it has already been observed that those who still do not return to their country of origin are among the many unemployed who struggle to meet very basic needs for food, housing, health, education, and social protection [32]. Implementation of public IPV policies depends heavily on the service providers [33], and they can also be an important source of information about the impact of the economic crisis on social strategies targeting immigrant women. Therefore, an analysis which takes into account the perspectives of those involved might identify the factors which could prevent the crisis from affecting public health [23,34]. The effects of the reforms prompted by the current economic crisis on IPV resources have not been explored in Spain [35]. An exploration of service providers’ opinions and concerns about areas under threat could serve as a first step in formulating policy and research actions [36-38]. Meanwhile, at an organisational level, it is necessary to study how professionals tackle changing conditions [39]. This study formed part of a wider research project examining the determinants of access to the health and social services available in Spain for tackling IPV in general, and among immigrant women in particular [40]. Concern about anticipated spending cuts prompted by the crisis and their impact on resources was a theme that emerged from the interviews, since the fieldwork was conducted in a context of an economic recession (March-December, 2011). Therefore, the aim of the present study was to explore IPV service providers’ perceptions concerning the impact of the economic crisis on both the changing availability of IPV-related services and their own capacity to respond to immigrant women experiencing IPV in Spain. Methods: Design and participants Twenty nine in-depth personal interviews were conducted and four multiple interviews (interviews with two or three interviewees) held with a total of 43 professionals working in NGOs, public institutions and specialised services who gave legal, social, health, employment, family and psychological support to immigrant women (Additional file 1: Table S1). The interviewees came from different cities in Spain (Barcelona, Madrid, Valencia and Alicante). Those cities concentrate 46% of the migrant women population of Spain [12]. We aimed to gain an integrated overview of service provision by including multiple voices and asking different kinds of questions to different participants, adjusting each interview to address the questions appropriate to that participant’s profile [41]. Theoretical sampling was carried out, including participants with different profiles working in public and private institutions and NGOs capable of contributing to our research question. The first strategy employed to recruit participants was to contact a shelter in Alicante. Next, we recruited professionals working with NGOs via a social worker, and also employed the snowball method - in each interview, information was requested concerning possible contacts. Twenty nine in-depth personal interviews were conducted and four multiple interviews (interviews with two or three interviewees) held with a total of 43 professionals working in NGOs, public institutions and specialised services who gave legal, social, health, employment, family and psychological support to immigrant women (Additional file 1: Table S1). The interviewees came from different cities in Spain (Barcelona, Madrid, Valencia and Alicante). Those cities concentrate 46% of the migrant women population of Spain [12]. We aimed to gain an integrated overview of service provision by including multiple voices and asking different kinds of questions to different participants, adjusting each interview to address the questions appropriate to that participant’s profile [41]. Theoretical sampling was carried out, including participants with different profiles working in public and private institutions and NGOs capable of contributing to our research question. The first strategy employed to recruit participants was to contact a shelter in Alicante. Next, we recruited professionals working with NGOs via a social worker, and also employed the snowball method - in each interview, information was requested concerning possible contacts. Data collection The interview guide included a series of topics to be discussed during the interview. A list of lines of inquiry was drawn up to provide guidelines for interaction with interviewees and subsequent organisation of the information. There was no predetermined sequential order, and questions were open-ended. The interview guide was drawn up after reviewing the literature, and also reflected the experience and knowledge of the research team (See Interview guide on Additional file 2). The interview was divided into two sections, with an opening question concerning the professional competences of the interviewees’ specialist areas in the provision of support to immigrant battered women, and a closing question about their general evaluation and the possibility of improving support to immigrant battered women. The first section dealt with their experience with immigrant battered women and the problems encountered, and the second with the interventions carried out and their perceptions about immigrant women’s satisfaction with these interventions and resources. The interviews were carried out by one member of the research team and lasted between 35 and 90 min. All the interviews were conducted in Spanish, which was the mother tongue for both interviewer and participants. The professionals were interviewed at their workplace. We continued to conduct interviews until data saturation was achieved, meaning that no new information related to the research question was emerging [42]. In keeping with the principles of the Declaration of Helsinki and the Belmont Report, the purpose and procedure of the study were explained, an opportunity to ask questions was provided, and written informed consent was obtained from each participant prior to data collection. During the multiple interviews, the interviewer stressed the importance of respecting others’ opinions and maintaining the privacy of what was said within the group. Ethical approval was sought from the Ethics Committee of the University of Alicante. The interview guide included a series of topics to be discussed during the interview. A list of lines of inquiry was drawn up to provide guidelines for interaction with interviewees and subsequent organisation of the information. There was no predetermined sequential order, and questions were open-ended. The interview guide was drawn up after reviewing the literature, and also reflected the experience and knowledge of the research team (See Interview guide on Additional file 2). The interview was divided into two sections, with an opening question concerning the professional competences of the interviewees’ specialist areas in the provision of support to immigrant battered women, and a closing question about their general evaluation and the possibility of improving support to immigrant battered women. The first section dealt with their experience with immigrant battered women and the problems encountered, and the second with the interventions carried out and their perceptions about immigrant women’s satisfaction with these interventions and resources. The interviews were carried out by one member of the research team and lasted between 35 and 90 min. All the interviews were conducted in Spanish, which was the mother tongue for both interviewer and participants. The professionals were interviewed at their workplace. We continued to conduct interviews until data saturation was achieved, meaning that no new information related to the research question was emerging [42]. In keeping with the principles of the Declaration of Helsinki and the Belmont Report, the purpose and procedure of the study were explained, an opportunity to ask questions was provided, and written informed consent was obtained from each participant prior to data collection. During the multiple interviews, the interviewer stressed the importance of respecting others’ opinions and maintaining the privacy of what was said within the group. Ethical approval was sought from the Ethics Committee of the University of Alicante. Data analysis We digitally recorded the interviews and then transcribed them verbatim. Each of the authors examined all the interviews independently, and then met to compare and combine their analyses. Transcripts were imported into qualitative analysis software (Atlas.ti) as a tool for organizing the information, through which the authors analysed the transcripts using qualitative content analysis [43]. Through the texts, we identified meaning units of a sentence or paragraph with the same content. Then we drew up condensed meaning units, namely summarised versions of the initially identified units. These condensed versions were used to generate codes, which were grouped together in order to create categories reflecting the manifest content of the text, namely what the providers explicitly expressed about the impact of the crisis on IPV resources in Spain. Finally, a cross-cutting theme emerged from the categories that reflected the latent content of the interviews. We digitally recorded the interviews and then transcribed them verbatim. Each of the authors examined all the interviews independently, and then met to compare and combine their analyses. Transcripts were imported into qualitative analysis software (Atlas.ti) as a tool for organizing the information, through which the authors analysed the transcripts using qualitative content analysis [43]. Through the texts, we identified meaning units of a sentence or paragraph with the same content. Then we drew up condensed meaning units, namely summarised versions of the initially identified units. These condensed versions were used to generate codes, which were grouped together in order to create categories reflecting the manifest content of the text, namely what the providers explicitly expressed about the impact of the crisis on IPV resources in Spain. Finally, a cross-cutting theme emerged from the categories that reflected the latent content of the interviews. Design and participants: Twenty nine in-depth personal interviews were conducted and four multiple interviews (interviews with two or three interviewees) held with a total of 43 professionals working in NGOs, public institutions and specialised services who gave legal, social, health, employment, family and psychological support to immigrant women (Additional file 1: Table S1). The interviewees came from different cities in Spain (Barcelona, Madrid, Valencia and Alicante). Those cities concentrate 46% of the migrant women population of Spain [12]. We aimed to gain an integrated overview of service provision by including multiple voices and asking different kinds of questions to different participants, adjusting each interview to address the questions appropriate to that participant’s profile [41]. Theoretical sampling was carried out, including participants with different profiles working in public and private institutions and NGOs capable of contributing to our research question. The first strategy employed to recruit participants was to contact a shelter in Alicante. Next, we recruited professionals working with NGOs via a social worker, and also employed the snowball method - in each interview, information was requested concerning possible contacts. Data collection: The interview guide included a series of topics to be discussed during the interview. A list of lines of inquiry was drawn up to provide guidelines for interaction with interviewees and subsequent organisation of the information. There was no predetermined sequential order, and questions were open-ended. The interview guide was drawn up after reviewing the literature, and also reflected the experience and knowledge of the research team (See Interview guide on Additional file 2). The interview was divided into two sections, with an opening question concerning the professional competences of the interviewees’ specialist areas in the provision of support to immigrant battered women, and a closing question about their general evaluation and the possibility of improving support to immigrant battered women. The first section dealt with their experience with immigrant battered women and the problems encountered, and the second with the interventions carried out and their perceptions about immigrant women’s satisfaction with these interventions and resources. The interviews were carried out by one member of the research team and lasted between 35 and 90 min. All the interviews were conducted in Spanish, which was the mother tongue for both interviewer and participants. The professionals were interviewed at their workplace. We continued to conduct interviews until data saturation was achieved, meaning that no new information related to the research question was emerging [42]. In keeping with the principles of the Declaration of Helsinki and the Belmont Report, the purpose and procedure of the study were explained, an opportunity to ask questions was provided, and written informed consent was obtained from each participant prior to data collection. During the multiple interviews, the interviewer stressed the importance of respecting others’ opinions and maintaining the privacy of what was said within the group. Ethical approval was sought from the Ethics Committee of the University of Alicante. Data analysis: We digitally recorded the interviews and then transcribed them verbatim. Each of the authors examined all the interviews independently, and then met to compare and combine their analyses. Transcripts were imported into qualitative analysis software (Atlas.ti) as a tool for organizing the information, through which the authors analysed the transcripts using qualitative content analysis [43]. Through the texts, we identified meaning units of a sentence or paragraph with the same content. Then we drew up condensed meaning units, namely summarised versions of the initially identified units. These condensed versions were used to generate codes, which were grouped together in order to create categories reflecting the manifest content of the text, namely what the providers explicitly expressed about the impact of the crisis on IPV resources in Spain. Finally, a cross-cutting theme emerged from the categories that reflected the latent content of the interviews. Results: The analysis of the interviews with service providers revealed four categories related to the negative impact of the reforms prompted by the economic crisis, as perceived by professionals: a) “Immigrant women have it harder now”, b) “IPV and immigration resources are the first in line for cuts”, c) “Fewer staff means a less effective service” and d) “Equality and IPV policies are no longer a government priority”. These categories described the perceived and anticipated effects of changes in the allocation of resources for IPV support (Additional file 3: Figure S1). A cross-cutting theme emerged from the categories, which expressed the latent content of the interviews: Immigrant women are triply affected; by IPV, by the economic crisis and by structural violence. Service providers perceived immigrant women to be particularly vulnerable to IPV, on the one hand, and to the effects of the recession on the other. In the opinion of the professionals interviewed, the economic crisis could lead to structural violence against immigrant women who experience IPV; they anticipated a reduction in support resources for these women as a result of budget cuts, and consequently, fewer opportunities for the empowerment which would enable them escape from situations of IPV (Additional file 3: Figure S1). “Immigrant women have it harder now” Service providers perceived additional obstacles for immigrant women attempting to leave violent relationships, which stemmed from the migration process: no legally valid documentation, language barriers and the lack of support networks, among others. These factors may provoke a situation of greater vulnerability compared with Spanish women and can act as barriers to resource access, making it more difficult for immigrant women to break free from situations of IPV. Furthermore, any difficulties arising from the migration process are exacerbated by the economic crisis.The recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist) The recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist) The professionals interviewed considered that being an immigrant frequently entailed exploitative working conditions and socio-economic insecurity. In addition, the economic crisis has intensified women’s economic insecurity.Another consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge)As long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists) Another consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge) As long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists) They believe that the recession in Spain is having a negative effect on immigrant women’s opportunities for economic empowerment, because high unemployment rates and scarce job opportunities have reduced immigrant women’s possibilities of entering the workforce and achieving the economic independence. Thus, not only are their opportunities for attaining independence diminished, but their ties of economic dependence on the abuser are strengthened, rendering it more difficult for them to leave a violent relationship.And the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker) And the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker) Service providers perceived additional obstacles for immigrant women attempting to leave violent relationships, which stemmed from the migration process: no legally valid documentation, language barriers and the lack of support networks, among others. These factors may provoke a situation of greater vulnerability compared with Spanish women and can act as barriers to resource access, making it more difficult for immigrant women to break free from situations of IPV. Furthermore, any difficulties arising from the migration process are exacerbated by the economic crisis.The recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist) The recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist) The professionals interviewed considered that being an immigrant frequently entailed exploitative working conditions and socio-economic insecurity. In addition, the economic crisis has intensified women’s economic insecurity.Another consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge)As long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists) Another consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge) As long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists) They believe that the recession in Spain is having a negative effect on immigrant women’s opportunities for economic empowerment, because high unemployment rates and scarce job opportunities have reduced immigrant women’s possibilities of entering the workforce and achieving the economic independence. Thus, not only are their opportunities for attaining independence diminished, but their ties of economic dependence on the abuser are strengthened, rendering it more difficult for them to leave a violent relationship.And the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker) And the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker) “IPV and immigration resources are the first in line for cuts” At the time of the interviews, the service providers were already reporting shortages and a lack of the resources necessary to provide support in cases of IPV, even before the reforms prompted by the economic crisis had begun to take their toll.Both you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator)Health services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist) Both you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator) Health services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist) They expressed concern about resource provision as the recession deepens, anticipating a reduction in IPV services and resources due to budget cuts as a result of dwindling funding for these purposes.There aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker) There aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker) They felt that cutbacks in social programmes would affect the availability of essential resources for immigrant women in situations of abuse. There was also concern that economic and social cuts by the new government would adversely affect the allocation of IPV resources nationally, as would the government’s policies on changing the administrative structure of assistance.Let’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists)If we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker) Let’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists) If we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker) Providers also suspected that there would be cutbacks in financial aid such as income support for battered women, an essential resource to ensure women’s economic independence from aggressors. However, there were also more positive opinions expressed about the continuity of IPV support despite the crisis, linked to the personal motivation of some professionals rather than to faith in the structures. In spite of the cuts they anticipated as a result of the economic crisis, some participants expressed positive feelings, mainly about their work as professionals supporting immigrant women. As one of the participants stated “Large or small, every stone helps build a wall” (Interview 5- social worker).I think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist) I think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist) Participants expected or anticipated that the scope of activities would continue as before, but that any new programmes or initiatives would be cancelled or delayed due to the crisis. Despite these difficulties, the professionals attempted to compensate for cuts with their own personal efforts and motivation, and continued working.Obviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists) Obviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists) At the time of the interviews, the service providers were already reporting shortages and a lack of the resources necessary to provide support in cases of IPV, even before the reforms prompted by the economic crisis had begun to take their toll.Both you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator)Health services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist) Both you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator) Health services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist) They expressed concern about resource provision as the recession deepens, anticipating a reduction in IPV services and resources due to budget cuts as a result of dwindling funding for these purposes.There aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker) There aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker) They felt that cutbacks in social programmes would affect the availability of essential resources for immigrant women in situations of abuse. There was also concern that economic and social cuts by the new government would adversely affect the allocation of IPV resources nationally, as would the government’s policies on changing the administrative structure of assistance.Let’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists)If we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker) Let’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists) If we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker) Providers also suspected that there would be cutbacks in financial aid such as income support for battered women, an essential resource to ensure women’s economic independence from aggressors. However, there were also more positive opinions expressed about the continuity of IPV support despite the crisis, linked to the personal motivation of some professionals rather than to faith in the structures. In spite of the cuts they anticipated as a result of the economic crisis, some participants expressed positive feelings, mainly about their work as professionals supporting immigrant women. As one of the participants stated “Large or small, every stone helps build a wall” (Interview 5- social worker).I think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist) I think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist) Participants expected or anticipated that the scope of activities would continue as before, but that any new programmes or initiatives would be cancelled or delayed due to the crisis. Despite these difficulties, the professionals attempted to compensate for cuts with their own personal efforts and motivation, and continued working.Obviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists) Obviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists) “Fewer staff means a less effective service” Professionals criticised the lack of human resources in IPV support services and highlighted the need for more specialist staff to meet the specific needs of immigrant women, such as translators or cultural mediators.We don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist) We don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist) Staff cuts as a result of reduced budgets impaired the quality of the services offered. Interviewees thought that cuts in IPV services would have an impact on the quality of the support given to the immigrant battered women, because fewer staff meant more work for the remaining professionals and less time for each individual client.For example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator) For example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator) Another result of the recession is that working conditions in IPV services have become harsher, with increased workloads, a freeze on recruitment and reduced shifts and salaries. These shortcomings were highlighted as an obstacle to interventions with women, hampering the provision of effective attention.with the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker) with the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker) Professionals criticised the lack of human resources in IPV support services and highlighted the need for more specialist staff to meet the specific needs of immigrant women, such as translators or cultural mediators.We don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist) We don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist) Staff cuts as a result of reduced budgets impaired the quality of the services offered. Interviewees thought that cuts in IPV services would have an impact on the quality of the support given to the immigrant battered women, because fewer staff meant more work for the remaining professionals and less time for each individual client.For example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator) For example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator) Another result of the recession is that working conditions in IPV services have become harsher, with increased workloads, a freeze on recruitment and reduced shifts and salaries. These shortcomings were highlighted as an obstacle to interventions with women, hampering the provision of effective attention.with the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker) with the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker) “Equality and IPV policies are no longer a government priority” The professionals interviewed were concerned and uncertain about the immediate future in Spain as regards IPV policies, anticipating reversals in policy prompted by the economic crisis and the arrival of a new government different to the one that enacted the IPV Law.Well, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge) Well, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge) They expressed concern about possible amendments to IPV legislation and the potential effects on social policies aimed at the immigrant population of the new government’s reforms in the context of an economic crisis. They felt that this situation represented a step backwards in terms of the advances that Spanish society had achieved through the time and efforts of social and individual stakeholders, such as the people working in IPV services themselves. For example, the politicians were threatening to change the specialised IPV courts or the law on IPV, which the politicians were threatening to change.Specialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists) Specialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists) Participants warned that economic crises threaten advances in social policies and equality. They believed that equality policies constituted a structural battle against gender-based violence, and feared that these would stagnate or even be reversed, largely to the detriment of victims. They felt that gender equality, the fight against IPV and the specific needs of the immigrant population were not priorities for policy-makers.What’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists) What’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists) The professionals interviewed were concerned and uncertain about the immediate future in Spain as regards IPV policies, anticipating reversals in policy prompted by the economic crisis and the arrival of a new government different to the one that enacted the IPV Law.Well, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge) Well, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge) They expressed concern about possible amendments to IPV legislation and the potential effects on social policies aimed at the immigrant population of the new government’s reforms in the context of an economic crisis. They felt that this situation represented a step backwards in terms of the advances that Spanish society had achieved through the time and efforts of social and individual stakeholders, such as the people working in IPV services themselves. For example, the politicians were threatening to change the specialised IPV courts or the law on IPV, which the politicians were threatening to change.Specialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists) Specialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists) Participants warned that economic crises threaten advances in social policies and equality. They believed that equality policies constituted a structural battle against gender-based violence, and feared that these would stagnate or even be reversed, largely to the detriment of victims. They felt that gender equality, the fight against IPV and the specific needs of the immigrant population were not priorities for policy-makers.What’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists) What’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists) “Immigrant women have it harder now”: Service providers perceived additional obstacles for immigrant women attempting to leave violent relationships, which stemmed from the migration process: no legally valid documentation, language barriers and the lack of support networks, among others. These factors may provoke a situation of greater vulnerability compared with Spanish women and can act as barriers to resource access, making it more difficult for immigrant women to break free from situations of IPV. Furthermore, any difficulties arising from the migration process are exacerbated by the economic crisis.The recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist) The recession has hit immigrants much harder than Spanish people because in most cases their situation is much more complicated: they’re more vulnerable, they have fewer social networks, I mean, everything is more complex in these cases. (Interview 18 - psychologist) The professionals interviewed considered that being an immigrant frequently entailed exploitative working conditions and socio-economic insecurity. In addition, the economic crisis has intensified women’s economic insecurity.Another consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge)As long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists) Another consequence of being an immigrant is lack of money, and it’s much worse now with the economic crisis because there’s a lot of non-payment, [they] don’t have any income, they’ve got children, they’re living in very bad conditions, all packed into one rented room… (Interview 33 - judge) As long as the employment situation stays the same, you know that any immigrant, or any woman, with no training, support, personal resources, family or social services, is going to be exposed to all kinds of exploitation. (Interview 31 - social workers and psychologists) They believe that the recession in Spain is having a negative effect on immigrant women’s opportunities for economic empowerment, because high unemployment rates and scarce job opportunities have reduced immigrant women’s possibilities of entering the workforce and achieving the economic independence. Thus, not only are their opportunities for attaining independence diminished, but their ties of economic dependence on the abuser are strengthened, rendering it more difficult for them to leave a violent relationship.And the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker) And the labour market, who is going to be hit hardest in the labour market? Women, and even more so, immigrant women, make no mistake. I mean, the groups in the most vulnerable situations are the ones who get hit the hardest. And in the labour market, women occupy a more tenuous position, and the position of immigrant women is even more precarious. So obviously it’s indirectly going to affect women’s recovery process. (Interview 25 – social worker) “IPV and immigration resources are the first in line for cuts”: At the time of the interviews, the service providers were already reporting shortages and a lack of the resources necessary to provide support in cases of IPV, even before the reforms prompted by the economic crisis had begun to take their toll.Both you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator)Health services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist) Both you and I know perfectly well that services in the public sector do not work, and especially nowadays. (Interview 10 - mediator) Health services, for example, the way they’re set up they’re no use. They’re no use because of the timetables, are they any use to you? (Interview 18 - psychologist) They expressed concern about resource provision as the recession deepens, anticipating a reduction in IPV services and resources due to budget cuts as a result of dwindling funding for these purposes.There aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker) There aren’t many resources, and now that the welfare state is being dismantled there’ll be even fewer, we’re being merged, I don’t know how long these specialist services will continue to exist, and the future looks bleak in that respect. (Interview 29 - social worker) They felt that cutbacks in social programmes would affect the availability of essential resources for immigrant women in situations of abuse. There was also concern that economic and social cuts by the new government would adversely affect the allocation of IPV resources nationally, as would the government’s policies on changing the administrative structure of assistance.Let’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists)If we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker) Let’s see, I think the economic situation means that our response capacity is lower because there are fewer resources, and there will definitely be fewer resources in the future. (Interview 31-social workers and psychologists) If we’re noticing it now in associations, just imagine what’s going to happen in terms of grants, just imagine. (Interview 25 – social worker) Providers also suspected that there would be cutbacks in financial aid such as income support for battered women, an essential resource to ensure women’s economic independence from aggressors. However, there were also more positive opinions expressed about the continuity of IPV support despite the crisis, linked to the personal motivation of some professionals rather than to faith in the structures. In spite of the cuts they anticipated as a result of the economic crisis, some participants expressed positive feelings, mainly about their work as professionals supporting immigrant women. As one of the participants stated “Large or small, every stone helps build a wall” (Interview 5- social worker).I think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist) I think that many things are being scrutinised, although it’s also true that the political situation at the moment is difficult. A lot’s been changed, there are plans to improve, I think that even from within the service there are new proposals, but of course with the budget as it is, on hold… a lot’s been done and must continue to be done, but it’s a difficult time, politically and economically, and I really don’t know how it will all end. (Interview 32 - psychologist) Participants expected or anticipated that the scope of activities would continue as before, but that any new programmes or initiatives would be cancelled or delayed due to the crisis. Despite these difficulties, the professionals attempted to compensate for cuts with their own personal efforts and motivation, and continued working.Obviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists) Obviously there are strengths and good points, a lot’s been done in all this time and progress has been made even though they’re cutting back on resources and we can’t do the practical things that we were doing before, but there have been huge advances in education. (Interview 31 - social workers and psychologists) “Fewer staff means a less effective service”: Professionals criticised the lack of human resources in IPV support services and highlighted the need for more specialist staff to meet the specific needs of immigrant women, such as translators or cultural mediators.We don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist) We don’t have mediators, we don’t have interpreters. If someone goes to the doctor and you don’t understand Arabic, and their child is in school, obviously you aren’t going to talk in Arabic because you don’t speak it, so how do you communicate with this person? What’s more, what do you know? What do you know about the culture this person comes from? (Interview 18 - psychologist) Staff cuts as a result of reduced budgets impaired the quality of the services offered. Interviewees thought that cuts in IPV services would have an impact on the quality of the support given to the immigrant battered women, because fewer staff meant more work for the remaining professionals and less time for each individual client.For example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator) For example, there’s this long wait between one appointment and another, you need a lot of resources for the woman to retain the trust that you’ve tried to instil in her, you know? So that she lets you help her. You need a lot of resources. I don’t care about the crisis, you need one social worker per case, not fourteen cases per social worker because that gets you nowhere, but hey, the reality’s different. (Interview 10 - mediator) Another result of the recession is that working conditions in IPV services have become harsher, with increased workloads, a freeze on recruitment and reduced shifts and salaries. These shortcomings were highlighted as an obstacle to interventions with women, hampering the provision of effective attention.with the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker) with the hours we do and the low salary, I don’t think our work is really appreciated, given all the responsibility we have and all the work we have to do. The service is put out to tender, and so they award it to the company that presents the cheapest project and so on, or they don’t get paid on time, sometimes months and years go by without paying the company, and that’s detrimental to the people working there. (Interview 29 - social worker) “Equality and IPV policies are no longer a government priority”: The professionals interviewed were concerned and uncertain about the immediate future in Spain as regards IPV policies, anticipating reversals in policy prompted by the economic crisis and the arrival of a new government different to the one that enacted the IPV Law.Well, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge) Well, they say they want to change the law on gender-based violence in the courts and I don’t know in what way they want to do that, the new government, I’ve got no idea. So I suppose we’ll have to wait and see. (Interview 33 - judge) They expressed concern about possible amendments to IPV legislation and the potential effects on social policies aimed at the immigrant population of the new government’s reforms in the context of an economic crisis. They felt that this situation represented a step backwards in terms of the advances that Spanish society had achieved through the time and efforts of social and individual stakeholders, such as the people working in IPV services themselves. For example, the politicians were threatening to change the specialised IPV courts or the law on IPV, which the politicians were threatening to change.Specialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists) Specialised IPV courts have been a great step forwards, I’m scared of what’s going to happen, I’m not at all clear what they’re going to do. I don’t know, what with the crisis, the cuts, I don’t know what they’re going to do… (Interview 31 - social workers and psychologists) Participants warned that economic crises threaten advances in social policies and equality. They believed that equality policies constituted a structural battle against gender-based violence, and feared that these would stagnate or even be reversed, largely to the detriment of victims. They felt that gender equality, the fight against IPV and the specific needs of the immigrant population were not priorities for policy-makers.What’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists) What’s more, when there’s an economic crisis, the government pushes equality to the sidelines, and we’re always hearing that equality is a cross-cutting objective that should be in place everywhere, in culture, in the economy, in politics, in everything, but it’s no longer a priority and we’re already seeing that. (Interview 31 - social workers and psychologists) Discussion: This study points out two important aspects regarding how professionals perceived the effect of austerity measures on the resources available for immigrant women exposed to IPV. First, they considered that the economic crisis was hitting harder immigrant women compared to non immigrant women. They also considered that the crisis had led to cutbacks of funding that were affecting the quality of the services they were offering to women exposed to IPV in general, and to immigrant women in particular. Secondly, they were pessimistic in terms of the future. Policy changes and economic cuts in health and social services were identified as the main threats to IPV services. These changes were expected to set drawbacks in policies and programs related to migrants’ rights and gender equality. The results are consistent with those reported in other studies, in that they indicate that the economic crisis may contribute to increasing the risk of social exclusion among certain populations, which in the specific case of this study would imply increased vulnerability among immigrant women to remaining in a situation of IPV [44]. It is well known that the context of migration poses additional difficulties associated with situations of greater social vulnerability, such as the lack of a residence permit, existence of language barriers and the lack of support networks in the event of difficulties or problems [45,46,10]. The crisis adds to this burden by increasing unemployment rates among immigrant women, with the consequent deterioration in their standard of living, increased economic dependence on violent partners and decreased chances of finding employment. The results indicate that service providers experience an overwhelming amount of work followed by burnout, which in turn affects the care given to women. On the one hand, the professionals interviewed were already beginning to experience funding cuts, in line with the general tendency among governments in times of recession to reduce public spending by implementing changes in funding, prioritisation and governmental regulation, and by decentralising health services [38]. That could be explained because they are considered as “unproductive” components of government spending [20]. In consequence, and as the results show, such services are subject to staff cuts, leading to an overload of work and the risk of burnout among the staff who are still employed. Other studies have indicated that one of the main barriers to the provision of effective care in cases of IPV is understaffing, given that in times of economic recession it is more difficult to ensure the quality of care by hiring interpreters or staff with specialised training in matters related to immigration and intercultural skills [47,48]. This reduction in staffing levels is worrying because when other resources are being cut at national level (macro level) or regional level (meso level), the professional role of human resources (micro level) becomes decisive [47,49]. As regards future expectations, the service providers interviewed in this study anticipated that IPV services and services aimed at vulnerable populations were particularly at risk in the current economic climate. Participants thought that the new government would cut public services, and that the lack of economic resources would lead to a reduction in infrastructures and staff and the closure of some services. This would have a negative impact on their ability to respond to IPV, especially in the case of immigrant women because these are exposed to multiple factors of social exclusion. These predictions have subsequently been confirmed: several services frequently utilised by immigrants, such as NGOs, are closing due to budget cuts, and immigrants’ free access to health services has been curtailed [27,50]. Current health reforms will hinder the protection of immigrant women living in Spain –those without official immigrant status and experiencing IPV- as they will be excluded from the health system. Consequently, they will not be able to provide crucial evidence when they need to apply for a restraining order against their aggressor. Both their perceptions and the confirmed facts indicate that the effect of macroeconomic and neo-liberal political reforms is to impose structural violence on vulnerable populations because, on the one hand, such reforms increase individual and community vulnerability to specific problems, and on the other hand, they lead to a dismantling of already debilitated public services [51]. As well, they were right about the change of government and the impact on IPV support policies and strategies. In Spain, from 2004 to 2011, the previous socialist government was heavily committed to the implementation of IPV services, especially following enactment of Organic Law 1/2004 on gender-based violence. These facts confirm that, what the professionals considered to be consequences of the crisis, however, were in fact the effects of government priorities prompted by the recession, priorities which have meant that today, the health and social services are facing financial constraints [36]. Proof of this is that spending on equality policies has been changed and some of these policies are being reformulated to the detriment of women’s fundamental rights, such as the right to abortion. In this sense, there is a need for further research about how policies towards mitigating IPV in immigrant women operate in other European countries and whether EU countries have introduced similar cuts. Conclusions: These findings lead us to conclude that the policy changes prompted by the crisis hinder effective coverage of services for women victims of IPV in general, and more specifically, for immigrant women in this situation. The present study revealed that service providers tended to think that IPV services and programmes, and especially those for immigrant women, were under threat, since politicians might considered them the most dispensable aspect of the health and social services. Although the maintenance of services and programmes for immigrant battered women is a question of equality, the interviewees felt that this principle was being flouted as a result of government responses to the economic crisis. Limitations and strengths This study has several limitations. First, the issues addressed in this paper emerged spontaneously during the interviews with service providers; the impact of the recession being not the main focus of the study. During data collection and interview analysis alike, the issue of the possible effect on IPV resources of changes prompted by the crisis emerged as a strong theme; we therefore decided to explore this issue further in the present study. Second, this study focused on professionals’ perceptions about what might happen, because the interviews were conducted before the change of government and implementation of the first spending cuts. As the participants had anticipated, several reforms were implemented which affected health and social services. Nevertheless, the reforms had begun some time previously; for example, the responsibilities of the Spanish Ministry for Equality were reduced and the Ministry itself was absorbed by the Spanish Ministry for Health and Social Policy in 2010, and several regional Institutes for Women began to disappear. Furthermore, key national NGOs working in IPV also disappeared as a consequence of the lack of public funding [50]. To the best of our knowledge, this study represents the first attempt to obtain and synthesise service providers’ opinions about the impact of the current economic crisis on the IPV support services in which they work. The methodology employed in this study and the results on IPV resources are not statistically generalizable; however, they can be used to theorise about how professionals perceive a deterioration in services in times of economic crisis [52]. Thus, the study could be used to inform policy-making in Spain, especially in the current context of severe recession, and may also be of interest to other European countries facing similar challenges in resource allocation [47]. This study has several limitations. First, the issues addressed in this paper emerged spontaneously during the interviews with service providers; the impact of the recession being not the main focus of the study. During data collection and interview analysis alike, the issue of the possible effect on IPV resources of changes prompted by the crisis emerged as a strong theme; we therefore decided to explore this issue further in the present study. Second, this study focused on professionals’ perceptions about what might happen, because the interviews were conducted before the change of government and implementation of the first spending cuts. As the participants had anticipated, several reforms were implemented which affected health and social services. Nevertheless, the reforms had begun some time previously; for example, the responsibilities of the Spanish Ministry for Equality were reduced and the Ministry itself was absorbed by the Spanish Ministry for Health and Social Policy in 2010, and several regional Institutes for Women began to disappear. Furthermore, key national NGOs working in IPV also disappeared as a consequence of the lack of public funding [50]. To the best of our knowledge, this study represents the first attempt to obtain and synthesise service providers’ opinions about the impact of the current economic crisis on the IPV support services in which they work. The methodology employed in this study and the results on IPV resources are not statistically generalizable; however, they can be used to theorise about how professionals perceive a deterioration in services in times of economic crisis [52]. Thus, the study could be used to inform policy-making in Spain, especially in the current context of severe recession, and may also be of interest to other European countries facing similar challenges in resource allocation [47]. Limitations and strengths: This study has several limitations. First, the issues addressed in this paper emerged spontaneously during the interviews with service providers; the impact of the recession being not the main focus of the study. During data collection and interview analysis alike, the issue of the possible effect on IPV resources of changes prompted by the crisis emerged as a strong theme; we therefore decided to explore this issue further in the present study. Second, this study focused on professionals’ perceptions about what might happen, because the interviews were conducted before the change of government and implementation of the first spending cuts. As the participants had anticipated, several reforms were implemented which affected health and social services. Nevertheless, the reforms had begun some time previously; for example, the responsibilities of the Spanish Ministry for Equality were reduced and the Ministry itself was absorbed by the Spanish Ministry for Health and Social Policy in 2010, and several regional Institutes for Women began to disappear. Furthermore, key national NGOs working in IPV also disappeared as a consequence of the lack of public funding [50]. To the best of our knowledge, this study represents the first attempt to obtain and synthesise service providers’ opinions about the impact of the current economic crisis on the IPV support services in which they work. The methodology employed in this study and the results on IPV resources are not statistically generalizable; however, they can be used to theorise about how professionals perceive a deterioration in services in times of economic crisis [52]. Thus, the study could be used to inform policy-making in Spain, especially in the current context of severe recession, and may also be of interest to other European countries facing similar challenges in resource allocation [47].
Background: Since 2008, Spain has been in the throes of an economic crisis. This recession particularly affects the living conditions of vulnerable populations, and has also led to a reversal in social policies and a reduction in resources. In this context, the aim of this study was to explore intimate partner violence (IPV) service providers' perceptions of the impact of the current economic crisis on these resources in Spain and on their capacity to respond to immigrant women's needs experiencing IPV. Methods: A qualitative study was performed based on 43 semi-structured in-depth interviews to social workers, psychologists, intercultural mediators, judges, lawyers, police officers and health professionals from different services dealing with IPV (both, public and NGO's) and cities in Spain (Barcelona, Madrid, Valencia and Alicante) in 2011. Transcripts were imported into qualitative analysis software (Atlas.ti), and analysed using qualitative content analysis. Results: We identified four categories related to the perceived impact of the current economic crisis: a) "Immigrant women have it harder now", b) "IPV and immigration resources are the first in line for cuts", c) " Fewer staff means a less effective service" and d) "Equality and IPV policies are no longer a government priority". A cross-cutting theme emerged from these categories: immigrant women are triply affected; by IPV, by the crisis, and by structural violence. Conclusions: The professionals interviewed felt that present resources in Spain are insufficient to meet the needs of immigrant women, and that the situation might worsen in the future.
Introduction: Violence against women (VAW) is an extreme manifestation of gender inequality in society and a serious violation of fundamental human rights. The United Nations declaration on the Elimination of VAW defines it as any act of gender-based violence that results in, or is likely to result in, physical, sexual or psychological harm or suffering to women, including threats of acts such as coercion or arbitrary deprivation of liberty, whether occurring in public or private life [1]. Intimate Partner Violence (IPV) against women is the most common type of male VAW. It takes place within couples, and the perpetrators are almost exclusively men who are or who have been in an intimate relationship with the woman [2]. IPV against women occurs without exception in all countries, all cultures and at every level of society [3]. In the EU-27, it affects between 20% and 25% of adult women who have ever had an intimate partner [4]. However, within countries, some populations of women may be at greater vulnerable situation such is the case of migrant women due to different factors related to social exclusion: expatriation, lack of legal immigrant status, economic hardship and economic dependence on their partners [5-11]. At the end of 2012, a total of 314,358 persons from abroad set up residence in Spain. Although males traditionally maintained a slightly higher prevalence, women accounted at least for 48% of the total of foreigners that arrived to Spain [12]. The majority of immigrant women living in Spain come from Morocco, East Europe, Ecuador and Colombia. A cross-sectional study of 10,202 women attending primary health care centres showed an IPV of 27.9% in migrants compared to 14.3% in Spanish women [13]. According to the Annual Report of The National Observatory on Violence against women, in 2012, 47% of intimate partner violence-related murders in Spain were produced among migrant women [14]. Several advances in IPV and immigration policies have been achieved in recent years in Spain which have facilitated immigrant women’s access to resources, including the Organic Law/2004 [15]. According to this one, the public sector in Spain (state, regional and local government) is required to provide support to female victims of IPV in the form of information, comprehensive welfare services and free legal aid. This is delivered through 24-hour specialist emergency services, IPV-based courts and specialist units in the state security bodies, and involves professionals from different disciplines (physicians, psychologists, psychiatrists, lawyers, sociologists, educators, social workers, employment specialists). Provided support encompasses health care, emergency services, assistance, accommodation and comprehensive recovery. Support also includes social welfare benefits (unemployment benefit, income support), protection measures, job placement programmes, general and specialised social services (information, counselling, social support, follow up on women’s rights claims, educational support for the family, preventive education and support for vocational training and job seeking), a mobile telecare service, women’s shelters, and priority access to public housing and public residential homes for senior citizens. According to the 2004 law all these resources should be available to all women once an official complaint has been lodged. However, the lack of reports informing on the nationality of women accessing such resources does not allow to point out differences/inequalities on access to such services between immigrant and non-immigrant women exposed to IPV in Spain. The Organic Law 10/2011 of July 27, 2011 extends the rights of battered immigrant women in an irregular situation, establishing the possibility of requesting permission to reside (including their children) and work due to exceptional circumstances once a restraining order has been granted. Such permission is not definitively approved until criminal proceedings have concluded. They can also apply for provisional authorization to reside and work due to exceptional circumstances at the time of filing the official complaint [16]. NGOs also play a key role in providing care for immigrant women, particularly immigrant associations, since translation and cultural mediation services are not required by law, and are even less likely to be provided now that funding for these resources has been removed. In addition to these State policies, it is important to note that Spain is divided into Autonomous Communities at regional level. Each of the Autonomous Communities has its own government and adopts its own policies, although following some common national policy guidelines. For example, the afore mentioned Organic Law 1/2004 on Comprehensive Protection Measures against Gender-Based Violence is applicable throughout the country, but each region can also have its own law on gender-based violence. Meanwhile, there are 17 Social Services Acts, one for each of the Autonomous Communities. These Acts differ in terms of social rights, social services, and social expenditure. In terms of the health-sector response to IPV whilst all the regions have developed protocols and guidelines, great variation exist between regions in terms of training programs, intersectorial coordination and monitoring systems [17]. The current global recession has prompted a wide range of economic, political and social reforms in Europe and Spain which involve cutbacks in social investment [18-20]. These policies reflect the priority given by governments to reduce their fiscal deficits by cutting back on social expenditure [21]. The concomitant dismantling of the welfare state means that social and health care services are the first to be affected by government austerity measures [22,23]. For example, between 2006 and 2011 the percentage of the total Spanish State Budget allocated to health care fell from 35.2% to 33.7% (almost 2 points), representing a reduction of more than 8 million Euros [19]. Other institutional reports have indicated that per capita social expenditure in the period 2009–2011 fell significantly by a state-wide average of 4.4% [24]. In 2011, the at-risk-of-poverty rate stood at 21.8% for the population of Spain, and one in four people under the age of 16 were living below the poverty line [25]. Austerity measures are harming the social well-being of the populations affected [26,27]. Previous research has shown that due to their effects on the labour market and resource access, economic downturns have negative consequences for public health [23,28,29]. Similarly, social inequalities between population groups widen during recessions; rising unemployment and poverty hit the most disadvantaged hardest and increase their vulnerability [30,31]. In the particular case of the immigrant population in Spain, it has already been observed that those who still do not return to their country of origin are among the many unemployed who struggle to meet very basic needs for food, housing, health, education, and social protection [32]. Implementation of public IPV policies depends heavily on the service providers [33], and they can also be an important source of information about the impact of the economic crisis on social strategies targeting immigrant women. Therefore, an analysis which takes into account the perspectives of those involved might identify the factors which could prevent the crisis from affecting public health [23,34]. The effects of the reforms prompted by the current economic crisis on IPV resources have not been explored in Spain [35]. An exploration of service providers’ opinions and concerns about areas under threat could serve as a first step in formulating policy and research actions [36-38]. Meanwhile, at an organisational level, it is necessary to study how professionals tackle changing conditions [39]. This study formed part of a wider research project examining the determinants of access to the health and social services available in Spain for tackling IPV in general, and among immigrant women in particular [40]. Concern about anticipated spending cuts prompted by the crisis and their impact on resources was a theme that emerged from the interviews, since the fieldwork was conducted in a context of an economic recession (March-December, 2011). Therefore, the aim of the present study was to explore IPV service providers’ perceptions concerning the impact of the economic crisis on both the changing availability of IPV-related services and their own capacity to respond to immigrant women experiencing IPV in Spain. Conclusions: These findings lead us to conclude that the policy changes prompted by the crisis hinder effective coverage of services for women victims of IPV in general, and more specifically, for immigrant women in this situation. The present study revealed that service providers tended to think that IPV services and programmes, and especially those for immigrant women, were under threat, since politicians might considered them the most dispensable aspect of the health and social services. Although the maintenance of services and programmes for immigrant battered women is a question of equality, the interviewees felt that this principle was being flouted as a result of government responses to the economic crisis. Limitations and strengths This study has several limitations. First, the issues addressed in this paper emerged spontaneously during the interviews with service providers; the impact of the recession being not the main focus of the study. During data collection and interview analysis alike, the issue of the possible effect on IPV resources of changes prompted by the crisis emerged as a strong theme; we therefore decided to explore this issue further in the present study. Second, this study focused on professionals’ perceptions about what might happen, because the interviews were conducted before the change of government and implementation of the first spending cuts. As the participants had anticipated, several reforms were implemented which affected health and social services. Nevertheless, the reforms had begun some time previously; for example, the responsibilities of the Spanish Ministry for Equality were reduced and the Ministry itself was absorbed by the Spanish Ministry for Health and Social Policy in 2010, and several regional Institutes for Women began to disappear. Furthermore, key national NGOs working in IPV also disappeared as a consequence of the lack of public funding [50]. To the best of our knowledge, this study represents the first attempt to obtain and synthesise service providers’ opinions about the impact of the current economic crisis on the IPV support services in which they work. The methodology employed in this study and the results on IPV resources are not statistically generalizable; however, they can be used to theorise about how professionals perceive a deterioration in services in times of economic crisis [52]. Thus, the study could be used to inform policy-making in Spain, especially in the current context of severe recession, and may also be of interest to other European countries facing similar challenges in resource allocation [47]. This study has several limitations. First, the issues addressed in this paper emerged spontaneously during the interviews with service providers; the impact of the recession being not the main focus of the study. During data collection and interview analysis alike, the issue of the possible effect on IPV resources of changes prompted by the crisis emerged as a strong theme; we therefore decided to explore this issue further in the present study. Second, this study focused on professionals’ perceptions about what might happen, because the interviews were conducted before the change of government and implementation of the first spending cuts. As the participants had anticipated, several reforms were implemented which affected health and social services. Nevertheless, the reforms had begun some time previously; for example, the responsibilities of the Spanish Ministry for Equality were reduced and the Ministry itself was absorbed by the Spanish Ministry for Health and Social Policy in 2010, and several regional Institutes for Women began to disappear. Furthermore, key national NGOs working in IPV also disappeared as a consequence of the lack of public funding [50]. To the best of our knowledge, this study represents the first attempt to obtain and synthesise service providers’ opinions about the impact of the current economic crisis on the IPV support services in which they work. The methodology employed in this study and the results on IPV resources are not statistically generalizable; however, they can be used to theorise about how professionals perceive a deterioration in services in times of economic crisis [52]. Thus, the study could be used to inform policy-making in Spain, especially in the current context of severe recession, and may also be of interest to other European countries facing similar challenges in resource allocation [47].
Background: Since 2008, Spain has been in the throes of an economic crisis. This recession particularly affects the living conditions of vulnerable populations, and has also led to a reversal in social policies and a reduction in resources. In this context, the aim of this study was to explore intimate partner violence (IPV) service providers' perceptions of the impact of the current economic crisis on these resources in Spain and on their capacity to respond to immigrant women's needs experiencing IPV. Methods: A qualitative study was performed based on 43 semi-structured in-depth interviews to social workers, psychologists, intercultural mediators, judges, lawyers, police officers and health professionals from different services dealing with IPV (both, public and NGO's) and cities in Spain (Barcelona, Madrid, Valencia and Alicante) in 2011. Transcripts were imported into qualitative analysis software (Atlas.ti), and analysed using qualitative content analysis. Results: We identified four categories related to the perceived impact of the current economic crisis: a) "Immigrant women have it harder now", b) "IPV and immigration resources are the first in line for cuts", c) " Fewer staff means a less effective service" and d) "Equality and IPV policies are no longer a government priority". A cross-cutting theme emerged from these categories: immigrant women are triply affected; by IPV, by the crisis, and by structural violence. Conclusions: The professionals interviewed felt that present resources in Spain are insufficient to meet the needs of immigrant women, and that the situation might worsen in the future.
15,457
312
[ 212, 338, 163, 734, 1037, 699, 623, 328 ]
13
[ "women", "social", "interview", "ipv", "immigrant", "economic", "resources", "services", "don", "crisis" ]
[ "battered immigrant women", "intimate partner violence", "female victims ipv", "ipv immigrant women", "violence women vaw" ]
null
[CONTENT] Intimate partner violence | Immigrant women | Crisis | Qualitative study | Spain | Violencia del Compañero Íntimo | Mujeres inmigrantes | Crisis | Estudio cualitativo | España [SUMMARY]
null
[CONTENT] Intimate partner violence | Immigrant women | Crisis | Qualitative study | Spain | Violencia del Compañero Íntimo | Mujeres inmigrantes | Crisis | Estudio cualitativo | España [SUMMARY]
[CONTENT] Intimate partner violence | Immigrant women | Crisis | Qualitative study | Spain | Violencia del Compañero Íntimo | Mujeres inmigrantes | Crisis | Estudio cualitativo | España [SUMMARY]
[CONTENT] Intimate partner violence | Immigrant women | Crisis | Qualitative study | Spain | Violencia del Compañero Íntimo | Mujeres inmigrantes | Crisis | Estudio cualitativo | España [SUMMARY]
[CONTENT] Intimate partner violence | Immigrant women | Crisis | Qualitative study | Spain | Violencia del Compañero Íntimo | Mujeres inmigrantes | Crisis | Estudio cualitativo | España [SUMMARY]
[CONTENT] Adult | Attitude of Health Personnel | Economic Recession | Emigrants and Immigrants | Female | Health Services Needs and Demand | Humans | Interviews as Topic | Public Policy | Qualitative Research | Spain | Spouse Abuse | Vulnerable Populations [SUMMARY]
null
[CONTENT] Adult | Attitude of Health Personnel | Economic Recession | Emigrants and Immigrants | Female | Health Services Needs and Demand | Humans | Interviews as Topic | Public Policy | Qualitative Research | Spain | Spouse Abuse | Vulnerable Populations [SUMMARY]
[CONTENT] Adult | Attitude of Health Personnel | Economic Recession | Emigrants and Immigrants | Female | Health Services Needs and Demand | Humans | Interviews as Topic | Public Policy | Qualitative Research | Spain | Spouse Abuse | Vulnerable Populations [SUMMARY]
[CONTENT] Adult | Attitude of Health Personnel | Economic Recession | Emigrants and Immigrants | Female | Health Services Needs and Demand | Humans | Interviews as Topic | Public Policy | Qualitative Research | Spain | Spouse Abuse | Vulnerable Populations [SUMMARY]
[CONTENT] Adult | Attitude of Health Personnel | Economic Recession | Emigrants and Immigrants | Female | Health Services Needs and Demand | Humans | Interviews as Topic | Public Policy | Qualitative Research | Spain | Spouse Abuse | Vulnerable Populations [SUMMARY]
[CONTENT] battered immigrant women | intimate partner violence | female victims ipv | ipv immigrant women | violence women vaw [SUMMARY]
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[CONTENT] battered immigrant women | intimate partner violence | female victims ipv | ipv immigrant women | violence women vaw [SUMMARY]
[CONTENT] battered immigrant women | intimate partner violence | female victims ipv | ipv immigrant women | violence women vaw [SUMMARY]
[CONTENT] battered immigrant women | intimate partner violence | female victims ipv | ipv immigrant women | violence women vaw [SUMMARY]
[CONTENT] battered immigrant women | intimate partner violence | female victims ipv | ipv immigrant women | violence women vaw [SUMMARY]
[CONTENT] women | social | interview | ipv | immigrant | economic | resources | services | don | crisis [SUMMARY]
null
[CONTENT] women | social | interview | ipv | immigrant | economic | resources | services | don | crisis [SUMMARY]
[CONTENT] women | social | interview | ipv | immigrant | economic | resources | services | don | crisis [SUMMARY]
[CONTENT] women | social | interview | ipv | immigrant | economic | resources | services | don | crisis [SUMMARY]
[CONTENT] women | social | interview | ipv | immigrant | economic | resources | services | don | crisis [SUMMARY]
[CONTENT] women | social | spain | ipv | 2011 | violence | immigrant | state | health | services [SUMMARY]
null
[CONTENT] don | interview | know | social | economic | women | going | immigrant | ipv | lot [SUMMARY]
[CONTENT] study | ministry | ipv | services | issue | spanish ministry | health social | crisis | policy | current [SUMMARY]
[CONTENT] women | interview | social | ipv | immigrant | economic | don | services | study | interviews [SUMMARY]
[CONTENT] women | interview | social | ipv | immigrant | economic | don | services | study | interviews [SUMMARY]
[CONTENT] 2008 | Spain ||| ||| IPV | Spain | IPV [SUMMARY]
null
[CONTENT] four | IPV | first ||| ||| IPV ||| IPV [SUMMARY]
[CONTENT] Spain [SUMMARY]
[CONTENT] 2008 | Spain ||| ||| IPV | Spain | IPV ||| 43 | IPV | NGO | Spain | Barcelona | Madrid | Valencia | Alicante | 2011 ||| Atlas.ti ||| ||| four | IPV | first ||| ||| IPV ||| IPV ||| Spain [SUMMARY]
[CONTENT] 2008 | Spain ||| ||| IPV | Spain | IPV ||| 43 | IPV | NGO | Spain | Barcelona | Madrid | Valencia | Alicante | 2011 ||| Atlas.ti ||| ||| four | IPV | first ||| ||| IPV ||| IPV ||| Spain [SUMMARY]
Effects of refractive power on quantification using ultra-widefield retinal imaging.
33743646
Ultra-widefiled (UWF) retinal images include significant distortion when they are projected onto a two-dimensional surface for viewing. Therefore, many clinical studies that require quantitative analysis of fundus images have used stereographic projection algorithm, three-dimensional fundus image was mapped to a two-dimensional stereographic plane by projecting all relevant pixels onto a plane through the equator of the eye. However, even with this impressive algorithm, refractive error itself might affect the size and quality of images theoretically. The purpose of this study is to investigate the effects of refractive power on retinal area measurements (quantification) using UWF retinal imaging (Optos California; Dunfermline, Scotland, UK).
BACKGROUND
A prospective, interventional study comprised 50 healthy eyes. UWF images were acquired first without the use of a soft contact lens (CL) and then repeated with six CLs (+ 9D, +6D, +3D, -3D, -6D, and - 9D). Using stereographically projected UWF images, the optic disc was outlined by 15-17 points and quantified in metric units. We divided the subjects into three groups according to axial length: Groups A (22-24 mm), B (24-26 mm), and C (≥ 26 mm). The primary outcome was percentage change before and after use of the CLs. Secondary outcome was proportion of subjects with magnification effects, maximal changes > 10 %.
METHODS
The study population was 6, 28, and 16 eyes in each group. Overall changes for the measured area were not significantly different in the whole study population. Group C had a larger proportion of magnification effects compared to Groups A and B (50.0 %, 0 %, and 3.6 %, P = 0.020). Measured area with plus lenses was significantly higher in Group C (P < 0.001).
RESULTS
The use of CLs might affect quantification of eyes with long axial length when using UWF images. Ophthalmologists should consider refractive error when measuring area in long eyes.
CONCLUSIONS
[ "Fundus Oculi", "Humans", "Imaging, Three-Dimensional", "Prospective Studies", "Retina", "Scotland" ]
7981888
Background
Advances in ultra-widefield (UWF) imaging technology have allowed noninvasive, single images of the peripheral retina [1, 2]. Regardless of this advantage, UWF images include significant distortion when they are projected onto a two-dimensional surface for viewing [1, 3, 4]. Thus, stereoscopic projection algorithms have been employed to correct image distortion [1, 2, 5, 6]. A three-dimensional object (fundus image) was mapped to a two-dimensional stereographic plane by projecting all relevant pixels onto a plane through the equator of the eye [1, 3]. As this stereographic projection preserves the shape of a sphere, it enables the correct measurement of area based on calculations made on the sphere [1]. Therefore, many clinical studies that require quantitative analysis of fundus images have used this technology [1, 4, 7–10]. Moreover, a stereographic projection algorithm using axial length information can produce accurate and precise measurements relative to an intraocular ground truth standard [1, 2, 6]. However, even with these impressive advancements, refractive error itself might affect the size and quality of images theoretically [11]. In routine clinical practice, UWF images are obtained in subjects without refractive error correction, although refractive errors are capable of causing image distortion and magnification effects. Further, several previous studies using optical coherence tomography (OCT) have indicated that refractive errors affect the analysis of retinal nerve fiber layer (RNFL) thickness, leading to lower values in myopic eyes compared to normal eyes due to the differences in axial lengths and the magnification effects [12, 13]. There are many controversies regarding the effects of refractive errors on measurement of the retina. Certain investigations using OCT report that contact lens diopter does not significantly affect measurement of RNFL [14, 15]. On the contrary, other reports have suggested that RNFL thickness decreases as refractive power becomes more negative [12]. To date, there are no studies regarding the effects of refractive error on area measurement using UWF. In this context, many studies using stereoscopic measurement have empirically employed inclusion criteria between + 3 Diopters to − 3 or − 6 Diopters. Therefore, the purpose of this study was 1) to investigate the effects of refractive error in contact lenses (CLs) on area measurement in UWF images in healthy subjects with myopia and (2) to compare the magnification effects according to axial lengths.
null
null
Results
Baseline characteristics A total of 50 eyes from 25 healthy subjects (13 male and 12 female) were included. The average age of the subjects was 25.0 ± 3.5 years; the average spherical equivalent and axial length were − 2.80 ± 1.61 D and 25.31 ± 1.07 mm, respectively. Other demographic information has been detailed in Table 1. Table 1Baseline characteristics of the study participantsVariablesStudy participants(50 eyes of 25 subjects)Age, years25.0 ± 3.5 (Range 20–33)Male/Female13/12IOP, mm Hg15.1 ± 2.0(Range 11–20)Axial Length, mm25.31 ± 1.07Avg. Keratometry (Diopters)42.63 ± 1.49 DSpherical Equivalent (Diopters)− 2.80 ± 1.61(Range, -0.125D ~ -5.375D)Values are presented as mean ± SD unless indicated otherwiseIOP intraocular pressure Baseline characteristics of the study participants 25.0 ± 3.5 (Range 20–33) 15.1 ± 2.0 (Range 11–20) − 2.80 ± 1.61 (Range, -0.125D ~ -5.375D) Values are presented as mean ± SD unless indicated otherwise IOP intraocular pressure A total of 50 eyes from 25 healthy subjects (13 male and 12 female) were included. The average age of the subjects was 25.0 ± 3.5 years; the average spherical equivalent and axial length were − 2.80 ± 1.61 D and 25.31 ± 1.07 mm, respectively. Other demographic information has been detailed in Table 1. Table 1Baseline characteristics of the study participantsVariablesStudy participants(50 eyes of 25 subjects)Age, years25.0 ± 3.5 (Range 20–33)Male/Female13/12IOP, mm Hg15.1 ± 2.0(Range 11–20)Axial Length, mm25.31 ± 1.07Avg. Keratometry (Diopters)42.63 ± 1.49 DSpherical Equivalent (Diopters)− 2.80 ± 1.61(Range, -0.125D ~ -5.375D)Values are presented as mean ± SD unless indicated otherwiseIOP intraocular pressure Baseline characteristics of the study participants 25.0 ± 3.5 (Range 20–33) 15.1 ± 2.0 (Range 11–20) − 2.80 ± 1.61 (Range, -0.125D ~ -5.375D) Values are presented as mean ± SD unless indicated otherwise IOP intraocular pressure Subgroup analysis according to axial length and magnification effect The study population was composed of 6 eyes in Group A, 28 eyes in Group B, and 16 eyes in Group C. As depicted in Table 2, the corresponding mean axial lengths were 23.13, 25.20, and 26.33 mm, respectively (Kruskal Wallis test, P < 0.001; post-hoc analysis using the Mann-Whitney test, Group A vs. B, P < 0.001; Group B vs. C, P < 0.001; Group A vs. C, P < 0.001). Subgroup analysis showed there was a significant proportion of moderate myopia subjects in Group C (linear-by-linear association test, P < 0.001), which also contained a larger proportion of subjects who experienced magnification effects compared to Groups A and B (50.0 %, 0 %, and 17.9 %, respectively, linear-by-linear association test, P = 0.006). Moreover, the absolute value of the corresponding maximal difference was also statistically significant (Kruskal Wallis test, P = 0.029; post-hoc analysis using Mann-Whitney test, Group A vs. B, P = 0.928; Group B vs. C, P = 0.027; Group A vs. C, P = 0.016). Table 2Comparison of ocular parameters according to the axial lengthVariablesGroup A(AL 22–24 mm)N = 6 eyesGroup B(AL 24–26 mm)N = 28 eyesGroup C(AL > 26 mm)N = 16 eyesP-valueAge, years24.7 ± 3.425.9 ± 3.623.8 ± 3.40.159aIOP, mm Hg14.2 ± 1.314.9 ± 2.515.6 ± 1.00.298aAxial length, mm23.13 ± 0.6725.20 ± 0.5026.33 ± 0.23< 0.001aAverage Keratometry (D)43.89 ± 1.3942.79 ± 1.5441.88 ± 1.020.011aSpherical Equivalent (D)-1.06 ± 0.49-2.41 ± 1.54-4.13 ± 0.88< 0.001aProportion of Refractive Error< 0.001b Plano to – 3D (Mild)6 (100.0 %)18 (64.3 %)2 (12.5 %) − 3 D to – 6 D (Moderate)0 (0 %)10 (35.7 %)14 (87.5 %)Max. Difference (%)3.40 ± 4.162.65 ± 7.99.36 ± 10.370.029aProportion of Subjects Max. Difference > 10 %0/6 (0 %)5/28 (17.9 %)8/16 (50.0 %)0.006bValues are presented as mean ± SD unless indicated otherwiseaP value using the Kruskal Wallis testbP value using the linear-by linear association testAL axial length; IOP intraocular pressure Comparison of ocular parameters according to the axial length Values are presented as mean ± SD unless indicated otherwise aP value using the Kruskal Wallis test bP value using the linear-by linear association test AL axial length; IOP intraocular pressure The data presented in Table 3 indicate that the magnification group contained a larger proportion of patients with long axial lengths (≥ 26 mm, 61.5 % vs. 21.6 %, linear-by-linear association test, P = 0.006) and moderate myopia (-3 D to – 6 D, 35.2 % vs. 84.6 %, Fisher’s exact test, P = 0.003), as well as greater myopic refractive error (− 4.03 D vs. − 2.37 D, Mann-Whitney test, P = 0.001). Table 3Comparison of ocular parameters according to magnification effectsVariablesNo Magnification GroupN = 37 eyesMagnification Group(Max. Diff > 10 %)N = 13 eyesP-valueAge, years25.4 ± 3.323.9 ± 3.80.235aIOP, mm Hg15.2 ± 2.114.7 ± 1.70.381aAxial Length – 24 (mm)(Mean Axial length (mm))1.01 ± 1.05(25.01 ± 1.05)2.17 ± 0.45(26.17 ± 0.45)< 0.001aAxial Length (Proportion) 22–24 mm6 (16.2 %)0 (0 %)0.006b 24–26 mm23 (62.2 %)5 (38.5 %) 26 mm or above8 (21.6 %)8 (61.5 %)Avg. K value (D)42.87 ± 1.5141.94 ± 1.210.034aSpherical Equivalent− 2.37 ± 1.47− 4.03 ± 1.380.001aRefractive Error0.003c Plano to – 3D (Mild)24 (64.8 %)2 (15.4 %) − 3 D to – 6 D (Moderate)13 (35.2 %)11 (84.6 %)Values are presented as mean ± SD unless indicated otherwiseaP value using the Mann-Whitney testbP value using the linear-by linear association testcP value using the Fisher’s exact testIOP intraocular pressure Comparison of ocular parameters according to magnification effects Axial Length – 24 (mm) (Mean Axial length (mm)) 1.01 ± 1.05 (25.01 ± 1.05) 2.17 ± 0.45 (26.17 ± 0.45) Values are presented as mean ± SD unless indicated otherwise aP value using the Mann-Whitney test bP value using the linear-by linear association test cP value using the Fisher’s exact test IOP intraocular pressure The study population was composed of 6 eyes in Group A, 28 eyes in Group B, and 16 eyes in Group C. As depicted in Table 2, the corresponding mean axial lengths were 23.13, 25.20, and 26.33 mm, respectively (Kruskal Wallis test, P < 0.001; post-hoc analysis using the Mann-Whitney test, Group A vs. B, P < 0.001; Group B vs. C, P < 0.001; Group A vs. C, P < 0.001). Subgroup analysis showed there was a significant proportion of moderate myopia subjects in Group C (linear-by-linear association test, P < 0.001), which also contained a larger proportion of subjects who experienced magnification effects compared to Groups A and B (50.0 %, 0 %, and 17.9 %, respectively, linear-by-linear association test, P = 0.006). Moreover, the absolute value of the corresponding maximal difference was also statistically significant (Kruskal Wallis test, P = 0.029; post-hoc analysis using Mann-Whitney test, Group A vs. B, P = 0.928; Group B vs. C, P = 0.027; Group A vs. C, P = 0.016). Table 2Comparison of ocular parameters according to the axial lengthVariablesGroup A(AL 22–24 mm)N = 6 eyesGroup B(AL 24–26 mm)N = 28 eyesGroup C(AL > 26 mm)N = 16 eyesP-valueAge, years24.7 ± 3.425.9 ± 3.623.8 ± 3.40.159aIOP, mm Hg14.2 ± 1.314.9 ± 2.515.6 ± 1.00.298aAxial length, mm23.13 ± 0.6725.20 ± 0.5026.33 ± 0.23< 0.001aAverage Keratometry (D)43.89 ± 1.3942.79 ± 1.5441.88 ± 1.020.011aSpherical Equivalent (D)-1.06 ± 0.49-2.41 ± 1.54-4.13 ± 0.88< 0.001aProportion of Refractive Error< 0.001b Plano to – 3D (Mild)6 (100.0 %)18 (64.3 %)2 (12.5 %) − 3 D to – 6 D (Moderate)0 (0 %)10 (35.7 %)14 (87.5 %)Max. Difference (%)3.40 ± 4.162.65 ± 7.99.36 ± 10.370.029aProportion of Subjects Max. Difference > 10 %0/6 (0 %)5/28 (17.9 %)8/16 (50.0 %)0.006bValues are presented as mean ± SD unless indicated otherwiseaP value using the Kruskal Wallis testbP value using the linear-by linear association testAL axial length; IOP intraocular pressure Comparison of ocular parameters according to the axial length Values are presented as mean ± SD unless indicated otherwise aP value using the Kruskal Wallis test bP value using the linear-by linear association test AL axial length; IOP intraocular pressure The data presented in Table 3 indicate that the magnification group contained a larger proportion of patients with long axial lengths (≥ 26 mm, 61.5 % vs. 21.6 %, linear-by-linear association test, P = 0.006) and moderate myopia (-3 D to – 6 D, 35.2 % vs. 84.6 %, Fisher’s exact test, P = 0.003), as well as greater myopic refractive error (− 4.03 D vs. − 2.37 D, Mann-Whitney test, P = 0.001). Table 3Comparison of ocular parameters according to magnification effectsVariablesNo Magnification GroupN = 37 eyesMagnification Group(Max. Diff > 10 %)N = 13 eyesP-valueAge, years25.4 ± 3.323.9 ± 3.80.235aIOP, mm Hg15.2 ± 2.114.7 ± 1.70.381aAxial Length – 24 (mm)(Mean Axial length (mm))1.01 ± 1.05(25.01 ± 1.05)2.17 ± 0.45(26.17 ± 0.45)< 0.001aAxial Length (Proportion) 22–24 mm6 (16.2 %)0 (0 %)0.006b 24–26 mm23 (62.2 %)5 (38.5 %) 26 mm or above8 (21.6 %)8 (61.5 %)Avg. K value (D)42.87 ± 1.5141.94 ± 1.210.034aSpherical Equivalent− 2.37 ± 1.47− 4.03 ± 1.380.001aRefractive Error0.003c Plano to – 3D (Mild)24 (64.8 %)2 (15.4 %) − 3 D to – 6 D (Moderate)13 (35.2 %)11 (84.6 %)Values are presented as mean ± SD unless indicated otherwiseaP value using the Mann-Whitney testbP value using the linear-by linear association testcP value using the Fisher’s exact testIOP intraocular pressure Comparison of ocular parameters according to magnification effects Axial Length – 24 (mm) (Mean Axial length (mm)) 1.01 ± 1.05 (25.01 ± 1.05) 2.17 ± 0.45 (26.17 ± 0.45) Values are presented as mean ± SD unless indicated otherwise aP value using the Mann-Whitney test bP value using the linear-by linear association test cP value using the Fisher’s exact test IOP intraocular pressure Receiver operating curves (ROC) and area under the ROC (AUROC) Figure 2 depicts receiver operating curves for magnification effects with corresponding cutoff values. The cutoff values are 25.44 mm (sensitivity/specificity = 100 %/62.2 %) for axial length and – 3.5 Diopter (sensitivity/specificity = 84.6 %/73.0 %) for refractive error. Although areas under the ROC (AUROC) for axial length (0.867, 95 % C.I 0.741–0.946) were higher than those for spherical equivalent (0.793, 95 % C.I 0.655–0.895), there was no statistical significance. Moreover, the values with specificity > 80 % were 26.04 mm for axial length and – 4.125 Diopters for refractive error. Fig. 2Receiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent Receiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent Figure 2 depicts receiver operating curves for magnification effects with corresponding cutoff values. The cutoff values are 25.44 mm (sensitivity/specificity = 100 %/62.2 %) for axial length and – 3.5 Diopter (sensitivity/specificity = 84.6 %/73.0 %) for refractive error. Although areas under the ROC (AUROC) for axial length (0.867, 95 % C.I 0.741–0.946) were higher than those for spherical equivalent (0.793, 95 % C.I 0.655–0.895), there was no statistical significance. Moreover, the values with specificity > 80 % were 26.04 mm for axial length and – 4.125 Diopters for refractive error. Fig. 2Receiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent Receiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent Percentage changes in measured area before and after the use of the CLs There was no significant difference between the CLs of different diopters (− 9 D, − 6 D, − 3 D, + 3 D, + 6 D, + 9 D) among the entire study group (Fig. 3 a). In subgroup analysis, the measured optic disc areas with the plus lenses (+ 3 D, + 6 D, + 9 D) were significantly higher than those with minus lenses in the moderate myopia group and Group C (Fig. 3b c). No adverse event associated to the application or removal of the CLs was observed. Fig. 3Changes in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c) Changes in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c) There was no significant difference between the CLs of different diopters (− 9 D, − 6 D, − 3 D, + 3 D, + 6 D, + 9 D) among the entire study group (Fig. 3 a). In subgroup analysis, the measured optic disc areas with the plus lenses (+ 3 D, + 6 D, + 9 D) were significantly higher than those with minus lenses in the moderate myopia group and Group C (Fig. 3b c). No adverse event associated to the application or removal of the CLs was observed. Fig. 3Changes in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c) Changes in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c)
Conclusions
To the best of our knowledge, this is the first study to investigate the effect of refractive error on area measurement in UWF images. Our study demonstrated that refractive errors might affect area measurement accuracy in subjects with long axial length. Although the majority of the subjects exhibited no definite magnification effects, it was concluded that careful correction or consideration is required for area measurement in eyes with long axial lengths.
[ "Background", "Methods", "Study subjects and baseline examinations", "Image acquisition, projection, and quantification", "Statistical analysis", "Baseline characteristics", "Subgroup analysis according to axial length and magnification effect", "Receiver operating curves (ROC) and area under the ROC (AUROC)", "Percentage changes in measured area before and after the use of the CLs" ]
[ "Advances in ultra-widefield (UWF) imaging technology have allowed noninvasive, single images of the peripheral retina [1, 2]. Regardless of this advantage, UWF images include significant distortion when they are projected onto a two-dimensional surface for viewing [1, 3, 4]. Thus, stereoscopic projection algorithms have been employed to correct image distortion [1, 2, 5, 6]. A three-dimensional object (fundus image) was mapped to a two-dimensional stereographic plane by projecting all relevant pixels onto a plane through the equator of the eye [1, 3]. As this stereographic projection preserves the shape of a sphere, it enables the correct measurement of area based on calculations made on the sphere [1]. Therefore, many clinical studies that require quantitative analysis of fundus images have used this technology [1, 4, 7–10]. Moreover, a stereographic projection algorithm using axial length information can produce accurate and precise measurements relative to an intraocular ground truth standard [1, 2, 6].\nHowever, even with these impressive advancements, refractive error itself might affect the size and quality of images theoretically [11]. In routine clinical practice, UWF images are obtained in subjects without refractive error correction, although refractive errors are capable of causing image distortion and magnification effects. Further, several previous studies using optical coherence tomography (OCT) have indicated that refractive errors affect the analysis of retinal nerve fiber layer (RNFL) thickness, leading to lower values in myopic eyes compared to normal eyes due to the differences in axial lengths and the magnification effects [12, 13].\nThere are many controversies regarding the effects of refractive errors on measurement of the retina. Certain investigations using OCT report that contact lens diopter does not significantly affect measurement of RNFL [14, 15]. On the contrary, other reports have suggested that RNFL thickness decreases as refractive power becomes more negative [12]. To date, there are no studies regarding the effects of refractive error on area measurement using UWF. In this context, many studies using stereoscopic measurement have empirically employed inclusion criteria between + 3 Diopters to − 3 or − 6 Diopters. Therefore, the purpose of this study was 1) to investigate the effects of refractive error in contact lenses (CLs) on area measurement in UWF images in healthy subjects with myopia and (2) to compare the magnification effects according to axial lengths.", "Study subjects and baseline examinations This is a single-center, prospective, interventional study conducted at Yeungnam University Medical Center between March 2018 and April 2018. The study protocol was approved by the Institutional Review Board of Yeungnam University Medical Center (IRB No. 2017-04-026). All participants provided signed informed consent, and the study adhered to the tenets of the Declaration of Helsinki.\nThe participants included healthy young subjects aged 18 years or older. Normal subjects were defined as those with no history of systemic or ocular disease or no presence of ocular surgery. The exclusion criteria were as follows: myopia < − 6 D, astigmatism > 1.5 D, intraocular pressure (IOP) > 21 mmHg, media opacity that obscured image acquisition, pathologic myopic changes of the retina such as posterior staphyloma, Lacquer crack, tessellated fundus, or myopic foveoschisis, or changes of the optic disc such as tilted disc configuration, myopic parapillary atrophy or glaucomatous changes. Media opacity was defined to be the presence of corneal scarring, corneal edema, cataract, or vitreous haze. Each participant underwent a routine ophthalmic examination, including evaluation of past medical history, best-corrected visual acuity, refractive error without pupil dilation (Auto-refracto-keratometer, HRK-7000 A; Huvitz Co., Ltd., Korea), IOP (TX-20 Full Auto Tonometers; Canon, Tokyo, Japan), and axial length (IOL Master500; Carl Zeiss Meditec, Gena, Germany).\nConsidering the fact that axial length and degree of baseline refractive error are capable of influencing the measurement of area in UWF images, we classified the subjects into three groups based on their corresponding axial lengths: below-average axial length group (Group A, between 22 and 24 mm), above-average axial length group (Group B, between 24 and 26 mm), and long axial length group (Group C, 26 mm or above). Further, we classified the subjects into two groups based on refractive error: mild myopia (Plano to − 3 D) and moderate myopia (− 3 D to − 6 D).\nThis is a single-center, prospective, interventional study conducted at Yeungnam University Medical Center between March 2018 and April 2018. The study protocol was approved by the Institutional Review Board of Yeungnam University Medical Center (IRB No. 2017-04-026). All participants provided signed informed consent, and the study adhered to the tenets of the Declaration of Helsinki.\nThe participants included healthy young subjects aged 18 years or older. Normal subjects were defined as those with no history of systemic or ocular disease or no presence of ocular surgery. The exclusion criteria were as follows: myopia < − 6 D, astigmatism > 1.5 D, intraocular pressure (IOP) > 21 mmHg, media opacity that obscured image acquisition, pathologic myopic changes of the retina such as posterior staphyloma, Lacquer crack, tessellated fundus, or myopic foveoschisis, or changes of the optic disc such as tilted disc configuration, myopic parapillary atrophy or glaucomatous changes. Media opacity was defined to be the presence of corneal scarring, corneal edema, cataract, or vitreous haze. Each participant underwent a routine ophthalmic examination, including evaluation of past medical history, best-corrected visual acuity, refractive error without pupil dilation (Auto-refracto-keratometer, HRK-7000 A; Huvitz Co., Ltd., Korea), IOP (TX-20 Full Auto Tonometers; Canon, Tokyo, Japan), and axial length (IOL Master500; Carl Zeiss Meditec, Gena, Germany).\nConsidering the fact that axial length and degree of baseline refractive error are capable of influencing the measurement of area in UWF images, we classified the subjects into three groups based on their corresponding axial lengths: below-average axial length group (Group A, between 22 and 24 mm), above-average axial length group (Group B, between 24 and 26 mm), and long axial length group (Group C, 26 mm or above). Further, we classified the subjects into two groups based on refractive error: mild myopia (Plano to − 3 D) and moderate myopia (− 3 D to − 6 D).\nImage acquisition, projection, and quantification UWF imaging was performed using an Optos UWF system (Optos California; Dunfermline, Scotland, UK). UWF images were acquired first without the use of soft CL, and then the process was repeated using CLs of six different diopters (+ 9 D, + 6 D, + 3 D, − 3 D, − 6 D, and − 9 D). We employed the usage of various different powers of CL, because the use of CL could provide a refractive error correction for either astigmatism or axial length without the use of correction formula [12]. Acquired images were transformed to a stereographic projection image using proprietary software from the manufacturer [1]. With stereographically projected UWF images, two masked, trained ophthalmologists manually outlined the optic disc area by 15–17 points where the disc margin meets the blood vessel using Image J V.1.49b (US National Institutes of Health, Bethesda, Maryland).\nThe area of the optic disc corresponding to each image was measured in square millimeters (mm2) by summing the anatomically-correct sizes of all pixels that comprised the disc margin (Fig. 1). To increase the reproducibility and the accuracy of measurement, we choose the optic disc as the “area of interest”, considering a method used in previous studies [1, 4, 7–10]. Two independent, masked graders performed annotations of the optic disc twice, and the average value was used for subsequent statistical analyses. These values obtained using CLs were compared with the measurements obtained from the baseline image without CL (100.0 %), and the respective percentage differences were determined. The maximal difference (%) in each case was defined as absolute value differences (% area difference) compared to those for the baseline image without CL to determine the magnification effect by refractive change in the “same eye”. The magnification group comprised subjects exhibiting maximal difference > 10 %.\nFig. 1Measurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin\nMeasurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin\nUWF imaging was performed using an Optos UWF system (Optos California; Dunfermline, Scotland, UK). UWF images were acquired first without the use of soft CL, and then the process was repeated using CLs of six different diopters (+ 9 D, + 6 D, + 3 D, − 3 D, − 6 D, and − 9 D). We employed the usage of various different powers of CL, because the use of CL could provide a refractive error correction for either astigmatism or axial length without the use of correction formula [12]. Acquired images were transformed to a stereographic projection image using proprietary software from the manufacturer [1]. With stereographically projected UWF images, two masked, trained ophthalmologists manually outlined the optic disc area by 15–17 points where the disc margin meets the blood vessel using Image J V.1.49b (US National Institutes of Health, Bethesda, Maryland).\nThe area of the optic disc corresponding to each image was measured in square millimeters (mm2) by summing the anatomically-correct sizes of all pixels that comprised the disc margin (Fig. 1). To increase the reproducibility and the accuracy of measurement, we choose the optic disc as the “area of interest”, considering a method used in previous studies [1, 4, 7–10]. Two independent, masked graders performed annotations of the optic disc twice, and the average value was used for subsequent statistical analyses. These values obtained using CLs were compared with the measurements obtained from the baseline image without CL (100.0 %), and the respective percentage differences were determined. The maximal difference (%) in each case was defined as absolute value differences (% area difference) compared to those for the baseline image without CL to determine the magnification effect by refractive change in the “same eye”. The magnification group comprised subjects exhibiting maximal difference > 10 %.\nFig. 1Measurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin\nMeasurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin\nStatistical analysis Statistical analyses were conducted using SPSS software (version 19.0; IBM Corp., Armonk, NY) and MedCalc (version 15.8; MedCalc, Inc., Ostend, Belgium). The Kolmogorov-Smirnov test was used to assess sample distribution. The differences in numerical data were analyzed using repeated measure analysis of variance (ANOVA), Kruskal Wallis test, independent t-test, and Mann-Whitney test. Categorical variables were evaluated using linear-by-linear association test and Fisher’s exact tests. Area under the curve, sensitivity, and specificity were calculated using the receiver operating characteristics (ROC) curve. A multiple comparison with Bonferroni correction was performed in cases that exhibited significant difference. Intra-grader and inter-grader agreement values were evaluated by intra-class correlation coefficient (ICC) values. Statistical significance was defined as P < 0.05.\nStatistical analyses were conducted using SPSS software (version 19.0; IBM Corp., Armonk, NY) and MedCalc (version 15.8; MedCalc, Inc., Ostend, Belgium). The Kolmogorov-Smirnov test was used to assess sample distribution. The differences in numerical data were analyzed using repeated measure analysis of variance (ANOVA), Kruskal Wallis test, independent t-test, and Mann-Whitney test. Categorical variables were evaluated using linear-by-linear association test and Fisher’s exact tests. Area under the curve, sensitivity, and specificity were calculated using the receiver operating characteristics (ROC) curve. A multiple comparison with Bonferroni correction was performed in cases that exhibited significant difference. Intra-grader and inter-grader agreement values were evaluated by intra-class correlation coefficient (ICC) values. Statistical significance was defined as P < 0.05.", "This is a single-center, prospective, interventional study conducted at Yeungnam University Medical Center between March 2018 and April 2018. The study protocol was approved by the Institutional Review Board of Yeungnam University Medical Center (IRB No. 2017-04-026). All participants provided signed informed consent, and the study adhered to the tenets of the Declaration of Helsinki.\nThe participants included healthy young subjects aged 18 years or older. Normal subjects were defined as those with no history of systemic or ocular disease or no presence of ocular surgery. The exclusion criteria were as follows: myopia < − 6 D, astigmatism > 1.5 D, intraocular pressure (IOP) > 21 mmHg, media opacity that obscured image acquisition, pathologic myopic changes of the retina such as posterior staphyloma, Lacquer crack, tessellated fundus, or myopic foveoschisis, or changes of the optic disc such as tilted disc configuration, myopic parapillary atrophy or glaucomatous changes. Media opacity was defined to be the presence of corneal scarring, corneal edema, cataract, or vitreous haze. Each participant underwent a routine ophthalmic examination, including evaluation of past medical history, best-corrected visual acuity, refractive error without pupil dilation (Auto-refracto-keratometer, HRK-7000 A; Huvitz Co., Ltd., Korea), IOP (TX-20 Full Auto Tonometers; Canon, Tokyo, Japan), and axial length (IOL Master500; Carl Zeiss Meditec, Gena, Germany).\nConsidering the fact that axial length and degree of baseline refractive error are capable of influencing the measurement of area in UWF images, we classified the subjects into three groups based on their corresponding axial lengths: below-average axial length group (Group A, between 22 and 24 mm), above-average axial length group (Group B, between 24 and 26 mm), and long axial length group (Group C, 26 mm or above). Further, we classified the subjects into two groups based on refractive error: mild myopia (Plano to − 3 D) and moderate myopia (− 3 D to − 6 D).", "UWF imaging was performed using an Optos UWF system (Optos California; Dunfermline, Scotland, UK). UWF images were acquired first without the use of soft CL, and then the process was repeated using CLs of six different diopters (+ 9 D, + 6 D, + 3 D, − 3 D, − 6 D, and − 9 D). We employed the usage of various different powers of CL, because the use of CL could provide a refractive error correction for either astigmatism or axial length without the use of correction formula [12]. Acquired images were transformed to a stereographic projection image using proprietary software from the manufacturer [1]. With stereographically projected UWF images, two masked, trained ophthalmologists manually outlined the optic disc area by 15–17 points where the disc margin meets the blood vessel using Image J V.1.49b (US National Institutes of Health, Bethesda, Maryland).\nThe area of the optic disc corresponding to each image was measured in square millimeters (mm2) by summing the anatomically-correct sizes of all pixels that comprised the disc margin (Fig. 1). To increase the reproducibility and the accuracy of measurement, we choose the optic disc as the “area of interest”, considering a method used in previous studies [1, 4, 7–10]. Two independent, masked graders performed annotations of the optic disc twice, and the average value was used for subsequent statistical analyses. These values obtained using CLs were compared with the measurements obtained from the baseline image without CL (100.0 %), and the respective percentage differences were determined. The maximal difference (%) in each case was defined as absolute value differences (% area difference) compared to those for the baseline image without CL to determine the magnification effect by refractive change in the “same eye”. The magnification group comprised subjects exhibiting maximal difference > 10 %.\nFig. 1Measurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin\nMeasurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin", "Statistical analyses were conducted using SPSS software (version 19.0; IBM Corp., Armonk, NY) and MedCalc (version 15.8; MedCalc, Inc., Ostend, Belgium). The Kolmogorov-Smirnov test was used to assess sample distribution. The differences in numerical data were analyzed using repeated measure analysis of variance (ANOVA), Kruskal Wallis test, independent t-test, and Mann-Whitney test. Categorical variables were evaluated using linear-by-linear association test and Fisher’s exact tests. Area under the curve, sensitivity, and specificity were calculated using the receiver operating characteristics (ROC) curve. A multiple comparison with Bonferroni correction was performed in cases that exhibited significant difference. Intra-grader and inter-grader agreement values were evaluated by intra-class correlation coefficient (ICC) values. Statistical significance was defined as P < 0.05.", "A total of 50 eyes from 25 healthy subjects (13 male and 12 female) were included. The average age of the subjects was 25.0 ± 3.5 years; the average spherical equivalent and axial length were − 2.80 ± 1.61 D and 25.31 ± 1.07 mm, respectively. Other demographic information has been detailed in Table 1.\nTable 1Baseline characteristics of the study participantsVariablesStudy participants(50 eyes of 25 subjects)Age, years25.0 ± 3.5 (Range 20–33)Male/Female13/12IOP, mm Hg15.1 ± 2.0(Range 11–20)Axial Length, mm25.31 ± 1.07Avg. Keratometry (Diopters)42.63 ± 1.49 DSpherical Equivalent (Diopters)− 2.80 ± 1.61(Range, -0.125D ~ -5.375D)Values are presented as mean ± SD unless indicated otherwiseIOP intraocular pressure\nBaseline characteristics of the study participants\n25.0 ± 3.5 \n(Range 20–33)\n15.1 ± 2.0\n(Range 11–20)\n− 2.80 ± 1.61\n(Range, -0.125D ~ -5.375D)\nValues are presented as mean ± SD unless indicated otherwise\nIOP intraocular pressure", "The study population was composed of 6 eyes in Group A, 28 eyes in Group B, and 16 eyes in Group C. As depicted in Table 2, the corresponding mean axial lengths were 23.13, 25.20, and 26.33 mm, respectively (Kruskal Wallis test, P < 0.001; post-hoc analysis using the Mann-Whitney test, Group A vs. B, P < 0.001; Group B vs. C, P < 0.001; Group A vs. C, P < 0.001). Subgroup analysis showed there was a significant proportion of moderate myopia subjects in Group C (linear-by-linear association test, P < 0.001), which also contained a larger proportion of subjects who experienced magnification effects compared to Groups A and B (50.0 %, 0 %, and 17.9 %, respectively, linear-by-linear association test, P = 0.006). Moreover, the absolute value of the corresponding maximal difference was also statistically significant (Kruskal Wallis test, P = 0.029; post-hoc analysis using Mann-Whitney test, Group A vs. B, P = 0.928; Group B vs. C, P = 0.027; Group A vs. C, P = 0.016).\nTable 2Comparison of ocular parameters according to the axial lengthVariablesGroup A(AL 22–24 mm)N = 6 eyesGroup B(AL 24–26 mm)N = 28 eyesGroup C(AL > 26 mm)N = 16 eyesP-valueAge, years24.7 ± 3.425.9 ± 3.623.8 ± 3.40.159aIOP, mm Hg14.2 ± 1.314.9 ± 2.515.6 ± 1.00.298aAxial length, mm23.13 ± 0.6725.20 ± 0.5026.33 ± 0.23< 0.001aAverage Keratometry (D)43.89 ± 1.3942.79 ± 1.5441.88 ± 1.020.011aSpherical Equivalent (D)-1.06 ± 0.49-2.41 ± 1.54-4.13 ± 0.88< 0.001aProportion of Refractive Error< 0.001b Plano to – 3D (Mild)6 (100.0 %)18 (64.3 %)2 (12.5 %) − 3 D to – 6 D (Moderate)0 (0 %)10 (35.7 %)14 (87.5 %)Max. Difference (%)3.40 ± 4.162.65 ± 7.99.36 ± 10.370.029aProportion of Subjects Max. Difference > 10 %0/6 (0 %)5/28 (17.9 %)8/16 (50.0 %)0.006bValues are presented as mean ± SD unless indicated otherwiseaP value using the Kruskal Wallis testbP value using the linear-by linear association testAL axial length; IOP intraocular pressure\nComparison of ocular parameters according to the axial length\nValues are presented as mean ± SD unless indicated otherwise\naP value using the Kruskal Wallis test\nbP value using the linear-by linear association test\nAL axial length; IOP intraocular pressure\nThe data presented in Table 3 indicate that the magnification group contained a larger proportion of patients with long axial lengths (≥ 26 mm, 61.5 % vs. 21.6 %, linear-by-linear association test, P = 0.006) and moderate myopia (-3 D to – 6 D, 35.2 % vs. 84.6 %, Fisher’s exact test, P = 0.003), as well as greater myopic refractive error (− 4.03 D vs. − 2.37 D, Mann-Whitney test, P = 0.001).\nTable 3Comparison of ocular parameters according to magnification effectsVariablesNo Magnification GroupN = 37 eyesMagnification Group(Max. Diff > 10 %)N = 13 eyesP-valueAge, years25.4 ± 3.323.9 ± 3.80.235aIOP, mm Hg15.2 ± 2.114.7 ± 1.70.381aAxial Length – 24 (mm)(Mean Axial length (mm))1.01 ± 1.05(25.01 ± 1.05)2.17 ± 0.45(26.17 ± 0.45)< 0.001aAxial Length (Proportion) 22–24 mm6 (16.2 %)0 (0 %)0.006b 24–26 mm23 (62.2 %)5 (38.5 %) 26 mm or above8 (21.6 %)8 (61.5 %)Avg. K value (D)42.87 ± 1.5141.94 ± 1.210.034aSpherical Equivalent− 2.37 ± 1.47− 4.03 ± 1.380.001aRefractive Error0.003c Plano to – 3D (Mild)24 (64.8 %)2 (15.4 %) − 3 D to – 6 D (Moderate)13 (35.2 %)11 (84.6 %)Values are presented as mean ± SD unless indicated otherwiseaP value using the Mann-Whitney testbP value using the linear-by linear association testcP value using the Fisher’s exact testIOP intraocular pressure\nComparison of ocular parameters according to magnification effects\nAxial Length – 24 (mm)\n(Mean Axial length (mm))\n1.01 ± 1.05\n(25.01 ± 1.05)\n2.17 ± 0.45\n(26.17 ± 0.45)\nValues are presented as mean ± SD unless indicated otherwise\naP value using the Mann-Whitney test\nbP value using the linear-by linear association test\ncP value using the Fisher’s exact test\nIOP intraocular pressure", "Figure 2 depicts receiver operating curves for magnification effects with corresponding cutoff values. The cutoff values are 25.44 mm (sensitivity/specificity = 100 %/62.2 %) for axial length and – 3.5 Diopter (sensitivity/specificity = 84.6 %/73.0 %) for refractive error. Although areas under the ROC (AUROC) for axial length (0.867, 95 % C.I 0.741–0.946) were higher than those for spherical equivalent (0.793, 95 % C.I 0.655–0.895), there was no statistical significance. Moreover, the values with specificity > 80 % were 26.04 mm for axial length and – 4.125 Diopters for refractive error.\nFig. 2Receiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent\nReceiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent", "There was no significant difference between the CLs of different diopters (− 9 D, − 6 D, − 3 D, + 3 D, + 6 D, + 9 D) among the entire study group (Fig. 3 a). In subgroup analysis, the measured optic disc areas with the plus lenses (+ 3 D, + 6 D, + 9 D) were significantly higher than those with minus lenses in the moderate myopia group and Group C (Fig. 3b c). No adverse event associated to the application or removal of the CLs was observed.\nFig. 3Changes in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c)\nChanges in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c)" ]
[ null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Study subjects and baseline examinations", "Image acquisition, projection, and quantification", "Statistical analysis", "Results", "Baseline characteristics", "Subgroup analysis according to axial length and magnification effect", "Receiver operating curves (ROC) and area under the ROC (AUROC)", "Percentage changes in measured area before and after the use of the CLs", "Discussion", "Conclusions" ]
[ "Advances in ultra-widefield (UWF) imaging technology have allowed noninvasive, single images of the peripheral retina [1, 2]. Regardless of this advantage, UWF images include significant distortion when they are projected onto a two-dimensional surface for viewing [1, 3, 4]. Thus, stereoscopic projection algorithms have been employed to correct image distortion [1, 2, 5, 6]. A three-dimensional object (fundus image) was mapped to a two-dimensional stereographic plane by projecting all relevant pixels onto a plane through the equator of the eye [1, 3]. As this stereographic projection preserves the shape of a sphere, it enables the correct measurement of area based on calculations made on the sphere [1]. Therefore, many clinical studies that require quantitative analysis of fundus images have used this technology [1, 4, 7–10]. Moreover, a stereographic projection algorithm using axial length information can produce accurate and precise measurements relative to an intraocular ground truth standard [1, 2, 6].\nHowever, even with these impressive advancements, refractive error itself might affect the size and quality of images theoretically [11]. In routine clinical practice, UWF images are obtained in subjects without refractive error correction, although refractive errors are capable of causing image distortion and magnification effects. Further, several previous studies using optical coherence tomography (OCT) have indicated that refractive errors affect the analysis of retinal nerve fiber layer (RNFL) thickness, leading to lower values in myopic eyes compared to normal eyes due to the differences in axial lengths and the magnification effects [12, 13].\nThere are many controversies regarding the effects of refractive errors on measurement of the retina. Certain investigations using OCT report that contact lens diopter does not significantly affect measurement of RNFL [14, 15]. On the contrary, other reports have suggested that RNFL thickness decreases as refractive power becomes more negative [12]. To date, there are no studies regarding the effects of refractive error on area measurement using UWF. In this context, many studies using stereoscopic measurement have empirically employed inclusion criteria between + 3 Diopters to − 3 or − 6 Diopters. Therefore, the purpose of this study was 1) to investigate the effects of refractive error in contact lenses (CLs) on area measurement in UWF images in healthy subjects with myopia and (2) to compare the magnification effects according to axial lengths.", "Study subjects and baseline examinations This is a single-center, prospective, interventional study conducted at Yeungnam University Medical Center between March 2018 and April 2018. The study protocol was approved by the Institutional Review Board of Yeungnam University Medical Center (IRB No. 2017-04-026). All participants provided signed informed consent, and the study adhered to the tenets of the Declaration of Helsinki.\nThe participants included healthy young subjects aged 18 years or older. Normal subjects were defined as those with no history of systemic or ocular disease or no presence of ocular surgery. The exclusion criteria were as follows: myopia < − 6 D, astigmatism > 1.5 D, intraocular pressure (IOP) > 21 mmHg, media opacity that obscured image acquisition, pathologic myopic changes of the retina such as posterior staphyloma, Lacquer crack, tessellated fundus, or myopic foveoschisis, or changes of the optic disc such as tilted disc configuration, myopic parapillary atrophy or glaucomatous changes. Media opacity was defined to be the presence of corneal scarring, corneal edema, cataract, or vitreous haze. Each participant underwent a routine ophthalmic examination, including evaluation of past medical history, best-corrected visual acuity, refractive error without pupil dilation (Auto-refracto-keratometer, HRK-7000 A; Huvitz Co., Ltd., Korea), IOP (TX-20 Full Auto Tonometers; Canon, Tokyo, Japan), and axial length (IOL Master500; Carl Zeiss Meditec, Gena, Germany).\nConsidering the fact that axial length and degree of baseline refractive error are capable of influencing the measurement of area in UWF images, we classified the subjects into three groups based on their corresponding axial lengths: below-average axial length group (Group A, between 22 and 24 mm), above-average axial length group (Group B, between 24 and 26 mm), and long axial length group (Group C, 26 mm or above). Further, we classified the subjects into two groups based on refractive error: mild myopia (Plano to − 3 D) and moderate myopia (− 3 D to − 6 D).\nThis is a single-center, prospective, interventional study conducted at Yeungnam University Medical Center between March 2018 and April 2018. The study protocol was approved by the Institutional Review Board of Yeungnam University Medical Center (IRB No. 2017-04-026). All participants provided signed informed consent, and the study adhered to the tenets of the Declaration of Helsinki.\nThe participants included healthy young subjects aged 18 years or older. Normal subjects were defined as those with no history of systemic or ocular disease or no presence of ocular surgery. The exclusion criteria were as follows: myopia < − 6 D, astigmatism > 1.5 D, intraocular pressure (IOP) > 21 mmHg, media opacity that obscured image acquisition, pathologic myopic changes of the retina such as posterior staphyloma, Lacquer crack, tessellated fundus, or myopic foveoschisis, or changes of the optic disc such as tilted disc configuration, myopic parapillary atrophy or glaucomatous changes. Media opacity was defined to be the presence of corneal scarring, corneal edema, cataract, or vitreous haze. Each participant underwent a routine ophthalmic examination, including evaluation of past medical history, best-corrected visual acuity, refractive error without pupil dilation (Auto-refracto-keratometer, HRK-7000 A; Huvitz Co., Ltd., Korea), IOP (TX-20 Full Auto Tonometers; Canon, Tokyo, Japan), and axial length (IOL Master500; Carl Zeiss Meditec, Gena, Germany).\nConsidering the fact that axial length and degree of baseline refractive error are capable of influencing the measurement of area in UWF images, we classified the subjects into three groups based on their corresponding axial lengths: below-average axial length group (Group A, between 22 and 24 mm), above-average axial length group (Group B, between 24 and 26 mm), and long axial length group (Group C, 26 mm or above). Further, we classified the subjects into two groups based on refractive error: mild myopia (Plano to − 3 D) and moderate myopia (− 3 D to − 6 D).\nImage acquisition, projection, and quantification UWF imaging was performed using an Optos UWF system (Optos California; Dunfermline, Scotland, UK). UWF images were acquired first without the use of soft CL, and then the process was repeated using CLs of six different diopters (+ 9 D, + 6 D, + 3 D, − 3 D, − 6 D, and − 9 D). We employed the usage of various different powers of CL, because the use of CL could provide a refractive error correction for either astigmatism or axial length without the use of correction formula [12]. Acquired images were transformed to a stereographic projection image using proprietary software from the manufacturer [1]. With stereographically projected UWF images, two masked, trained ophthalmologists manually outlined the optic disc area by 15–17 points where the disc margin meets the blood vessel using Image J V.1.49b (US National Institutes of Health, Bethesda, Maryland).\nThe area of the optic disc corresponding to each image was measured in square millimeters (mm2) by summing the anatomically-correct sizes of all pixels that comprised the disc margin (Fig. 1). To increase the reproducibility and the accuracy of measurement, we choose the optic disc as the “area of interest”, considering a method used in previous studies [1, 4, 7–10]. Two independent, masked graders performed annotations of the optic disc twice, and the average value was used for subsequent statistical analyses. These values obtained using CLs were compared with the measurements obtained from the baseline image without CL (100.0 %), and the respective percentage differences were determined. The maximal difference (%) in each case was defined as absolute value differences (% area difference) compared to those for the baseline image without CL to determine the magnification effect by refractive change in the “same eye”. The magnification group comprised subjects exhibiting maximal difference > 10 %.\nFig. 1Measurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin\nMeasurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin\nUWF imaging was performed using an Optos UWF system (Optos California; Dunfermline, Scotland, UK). UWF images were acquired first without the use of soft CL, and then the process was repeated using CLs of six different diopters (+ 9 D, + 6 D, + 3 D, − 3 D, − 6 D, and − 9 D). We employed the usage of various different powers of CL, because the use of CL could provide a refractive error correction for either astigmatism or axial length without the use of correction formula [12]. Acquired images were transformed to a stereographic projection image using proprietary software from the manufacturer [1]. With stereographically projected UWF images, two masked, trained ophthalmologists manually outlined the optic disc area by 15–17 points where the disc margin meets the blood vessel using Image J V.1.49b (US National Institutes of Health, Bethesda, Maryland).\nThe area of the optic disc corresponding to each image was measured in square millimeters (mm2) by summing the anatomically-correct sizes of all pixels that comprised the disc margin (Fig. 1). To increase the reproducibility and the accuracy of measurement, we choose the optic disc as the “area of interest”, considering a method used in previous studies [1, 4, 7–10]. Two independent, masked graders performed annotations of the optic disc twice, and the average value was used for subsequent statistical analyses. These values obtained using CLs were compared with the measurements obtained from the baseline image without CL (100.0 %), and the respective percentage differences were determined. The maximal difference (%) in each case was defined as absolute value differences (% area difference) compared to those for the baseline image without CL to determine the magnification effect by refractive change in the “same eye”. The magnification group comprised subjects exhibiting maximal difference > 10 %.\nFig. 1Measurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin\nMeasurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin\nStatistical analysis Statistical analyses were conducted using SPSS software (version 19.0; IBM Corp., Armonk, NY) and MedCalc (version 15.8; MedCalc, Inc., Ostend, Belgium). The Kolmogorov-Smirnov test was used to assess sample distribution. The differences in numerical data were analyzed using repeated measure analysis of variance (ANOVA), Kruskal Wallis test, independent t-test, and Mann-Whitney test. Categorical variables were evaluated using linear-by-linear association test and Fisher’s exact tests. Area under the curve, sensitivity, and specificity were calculated using the receiver operating characteristics (ROC) curve. A multiple comparison with Bonferroni correction was performed in cases that exhibited significant difference. Intra-grader and inter-grader agreement values were evaluated by intra-class correlation coefficient (ICC) values. Statistical significance was defined as P < 0.05.\nStatistical analyses were conducted using SPSS software (version 19.0; IBM Corp., Armonk, NY) and MedCalc (version 15.8; MedCalc, Inc., Ostend, Belgium). The Kolmogorov-Smirnov test was used to assess sample distribution. The differences in numerical data were analyzed using repeated measure analysis of variance (ANOVA), Kruskal Wallis test, independent t-test, and Mann-Whitney test. Categorical variables were evaluated using linear-by-linear association test and Fisher’s exact tests. Area under the curve, sensitivity, and specificity were calculated using the receiver operating characteristics (ROC) curve. A multiple comparison with Bonferroni correction was performed in cases that exhibited significant difference. Intra-grader and inter-grader agreement values were evaluated by intra-class correlation coefficient (ICC) values. Statistical significance was defined as P < 0.05.", "This is a single-center, prospective, interventional study conducted at Yeungnam University Medical Center between March 2018 and April 2018. The study protocol was approved by the Institutional Review Board of Yeungnam University Medical Center (IRB No. 2017-04-026). All participants provided signed informed consent, and the study adhered to the tenets of the Declaration of Helsinki.\nThe participants included healthy young subjects aged 18 years or older. Normal subjects were defined as those with no history of systemic or ocular disease or no presence of ocular surgery. The exclusion criteria were as follows: myopia < − 6 D, astigmatism > 1.5 D, intraocular pressure (IOP) > 21 mmHg, media opacity that obscured image acquisition, pathologic myopic changes of the retina such as posterior staphyloma, Lacquer crack, tessellated fundus, or myopic foveoschisis, or changes of the optic disc such as tilted disc configuration, myopic parapillary atrophy or glaucomatous changes. Media opacity was defined to be the presence of corneal scarring, corneal edema, cataract, or vitreous haze. Each participant underwent a routine ophthalmic examination, including evaluation of past medical history, best-corrected visual acuity, refractive error without pupil dilation (Auto-refracto-keratometer, HRK-7000 A; Huvitz Co., Ltd., Korea), IOP (TX-20 Full Auto Tonometers; Canon, Tokyo, Japan), and axial length (IOL Master500; Carl Zeiss Meditec, Gena, Germany).\nConsidering the fact that axial length and degree of baseline refractive error are capable of influencing the measurement of area in UWF images, we classified the subjects into three groups based on their corresponding axial lengths: below-average axial length group (Group A, between 22 and 24 mm), above-average axial length group (Group B, between 24 and 26 mm), and long axial length group (Group C, 26 mm or above). Further, we classified the subjects into two groups based on refractive error: mild myopia (Plano to − 3 D) and moderate myopia (− 3 D to − 6 D).", "UWF imaging was performed using an Optos UWF system (Optos California; Dunfermline, Scotland, UK). UWF images were acquired first without the use of soft CL, and then the process was repeated using CLs of six different diopters (+ 9 D, + 6 D, + 3 D, − 3 D, − 6 D, and − 9 D). We employed the usage of various different powers of CL, because the use of CL could provide a refractive error correction for either astigmatism or axial length without the use of correction formula [12]. Acquired images were transformed to a stereographic projection image using proprietary software from the manufacturer [1]. With stereographically projected UWF images, two masked, trained ophthalmologists manually outlined the optic disc area by 15–17 points where the disc margin meets the blood vessel using Image J V.1.49b (US National Institutes of Health, Bethesda, Maryland).\nThe area of the optic disc corresponding to each image was measured in square millimeters (mm2) by summing the anatomically-correct sizes of all pixels that comprised the disc margin (Fig. 1). To increase the reproducibility and the accuracy of measurement, we choose the optic disc as the “area of interest”, considering a method used in previous studies [1, 4, 7–10]. Two independent, masked graders performed annotations of the optic disc twice, and the average value was used for subsequent statistical analyses. These values obtained using CLs were compared with the measurements obtained from the baseline image without CL (100.0 %), and the respective percentage differences were determined. The maximal difference (%) in each case was defined as absolute value differences (% area difference) compared to those for the baseline image without CL to determine the magnification effect by refractive change in the “same eye”. The magnification group comprised subjects exhibiting maximal difference > 10 %.\nFig. 1Measurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin\nMeasurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin", "Statistical analyses were conducted using SPSS software (version 19.0; IBM Corp., Armonk, NY) and MedCalc (version 15.8; MedCalc, Inc., Ostend, Belgium). The Kolmogorov-Smirnov test was used to assess sample distribution. The differences in numerical data were analyzed using repeated measure analysis of variance (ANOVA), Kruskal Wallis test, independent t-test, and Mann-Whitney test. Categorical variables were evaluated using linear-by-linear association test and Fisher’s exact tests. Area under the curve, sensitivity, and specificity were calculated using the receiver operating characteristics (ROC) curve. A multiple comparison with Bonferroni correction was performed in cases that exhibited significant difference. Intra-grader and inter-grader agreement values were evaluated by intra-class correlation coefficient (ICC) values. Statistical significance was defined as P < 0.05.", "Baseline characteristics A total of 50 eyes from 25 healthy subjects (13 male and 12 female) were included. The average age of the subjects was 25.0 ± 3.5 years; the average spherical equivalent and axial length were − 2.80 ± 1.61 D and 25.31 ± 1.07 mm, respectively. Other demographic information has been detailed in Table 1.\nTable 1Baseline characteristics of the study participantsVariablesStudy participants(50 eyes of 25 subjects)Age, years25.0 ± 3.5 (Range 20–33)Male/Female13/12IOP, mm Hg15.1 ± 2.0(Range 11–20)Axial Length, mm25.31 ± 1.07Avg. Keratometry (Diopters)42.63 ± 1.49 DSpherical Equivalent (Diopters)− 2.80 ± 1.61(Range, -0.125D ~ -5.375D)Values are presented as mean ± SD unless indicated otherwiseIOP intraocular pressure\nBaseline characteristics of the study participants\n25.0 ± 3.5 \n(Range 20–33)\n15.1 ± 2.0\n(Range 11–20)\n− 2.80 ± 1.61\n(Range, -0.125D ~ -5.375D)\nValues are presented as mean ± SD unless indicated otherwise\nIOP intraocular pressure\nA total of 50 eyes from 25 healthy subjects (13 male and 12 female) were included. The average age of the subjects was 25.0 ± 3.5 years; the average spherical equivalent and axial length were − 2.80 ± 1.61 D and 25.31 ± 1.07 mm, respectively. Other demographic information has been detailed in Table 1.\nTable 1Baseline characteristics of the study participantsVariablesStudy participants(50 eyes of 25 subjects)Age, years25.0 ± 3.5 (Range 20–33)Male/Female13/12IOP, mm Hg15.1 ± 2.0(Range 11–20)Axial Length, mm25.31 ± 1.07Avg. Keratometry (Diopters)42.63 ± 1.49 DSpherical Equivalent (Diopters)− 2.80 ± 1.61(Range, -0.125D ~ -5.375D)Values are presented as mean ± SD unless indicated otherwiseIOP intraocular pressure\nBaseline characteristics of the study participants\n25.0 ± 3.5 \n(Range 20–33)\n15.1 ± 2.0\n(Range 11–20)\n− 2.80 ± 1.61\n(Range, -0.125D ~ -5.375D)\nValues are presented as mean ± SD unless indicated otherwise\nIOP intraocular pressure\nSubgroup analysis according to axial length and magnification effect The study population was composed of 6 eyes in Group A, 28 eyes in Group B, and 16 eyes in Group C. As depicted in Table 2, the corresponding mean axial lengths were 23.13, 25.20, and 26.33 mm, respectively (Kruskal Wallis test, P < 0.001; post-hoc analysis using the Mann-Whitney test, Group A vs. B, P < 0.001; Group B vs. C, P < 0.001; Group A vs. C, P < 0.001). Subgroup analysis showed there was a significant proportion of moderate myopia subjects in Group C (linear-by-linear association test, P < 0.001), which also contained a larger proportion of subjects who experienced magnification effects compared to Groups A and B (50.0 %, 0 %, and 17.9 %, respectively, linear-by-linear association test, P = 0.006). Moreover, the absolute value of the corresponding maximal difference was also statistically significant (Kruskal Wallis test, P = 0.029; post-hoc analysis using Mann-Whitney test, Group A vs. B, P = 0.928; Group B vs. C, P = 0.027; Group A vs. C, P = 0.016).\nTable 2Comparison of ocular parameters according to the axial lengthVariablesGroup A(AL 22–24 mm)N = 6 eyesGroup B(AL 24–26 mm)N = 28 eyesGroup C(AL > 26 mm)N = 16 eyesP-valueAge, years24.7 ± 3.425.9 ± 3.623.8 ± 3.40.159aIOP, mm Hg14.2 ± 1.314.9 ± 2.515.6 ± 1.00.298aAxial length, mm23.13 ± 0.6725.20 ± 0.5026.33 ± 0.23< 0.001aAverage Keratometry (D)43.89 ± 1.3942.79 ± 1.5441.88 ± 1.020.011aSpherical Equivalent (D)-1.06 ± 0.49-2.41 ± 1.54-4.13 ± 0.88< 0.001aProportion of Refractive Error< 0.001b Plano to – 3D (Mild)6 (100.0 %)18 (64.3 %)2 (12.5 %) − 3 D to – 6 D (Moderate)0 (0 %)10 (35.7 %)14 (87.5 %)Max. Difference (%)3.40 ± 4.162.65 ± 7.99.36 ± 10.370.029aProportion of Subjects Max. Difference > 10 %0/6 (0 %)5/28 (17.9 %)8/16 (50.0 %)0.006bValues are presented as mean ± SD unless indicated otherwiseaP value using the Kruskal Wallis testbP value using the linear-by linear association testAL axial length; IOP intraocular pressure\nComparison of ocular parameters according to the axial length\nValues are presented as mean ± SD unless indicated otherwise\naP value using the Kruskal Wallis test\nbP value using the linear-by linear association test\nAL axial length; IOP intraocular pressure\nThe data presented in Table 3 indicate that the magnification group contained a larger proportion of patients with long axial lengths (≥ 26 mm, 61.5 % vs. 21.6 %, linear-by-linear association test, P = 0.006) and moderate myopia (-3 D to – 6 D, 35.2 % vs. 84.6 %, Fisher’s exact test, P = 0.003), as well as greater myopic refractive error (− 4.03 D vs. − 2.37 D, Mann-Whitney test, P = 0.001).\nTable 3Comparison of ocular parameters according to magnification effectsVariablesNo Magnification GroupN = 37 eyesMagnification Group(Max. Diff > 10 %)N = 13 eyesP-valueAge, years25.4 ± 3.323.9 ± 3.80.235aIOP, mm Hg15.2 ± 2.114.7 ± 1.70.381aAxial Length – 24 (mm)(Mean Axial length (mm))1.01 ± 1.05(25.01 ± 1.05)2.17 ± 0.45(26.17 ± 0.45)< 0.001aAxial Length (Proportion) 22–24 mm6 (16.2 %)0 (0 %)0.006b 24–26 mm23 (62.2 %)5 (38.5 %) 26 mm or above8 (21.6 %)8 (61.5 %)Avg. K value (D)42.87 ± 1.5141.94 ± 1.210.034aSpherical Equivalent− 2.37 ± 1.47− 4.03 ± 1.380.001aRefractive Error0.003c Plano to – 3D (Mild)24 (64.8 %)2 (15.4 %) − 3 D to – 6 D (Moderate)13 (35.2 %)11 (84.6 %)Values are presented as mean ± SD unless indicated otherwiseaP value using the Mann-Whitney testbP value using the linear-by linear association testcP value using the Fisher’s exact testIOP intraocular pressure\nComparison of ocular parameters according to magnification effects\nAxial Length – 24 (mm)\n(Mean Axial length (mm))\n1.01 ± 1.05\n(25.01 ± 1.05)\n2.17 ± 0.45\n(26.17 ± 0.45)\nValues are presented as mean ± SD unless indicated otherwise\naP value using the Mann-Whitney test\nbP value using the linear-by linear association test\ncP value using the Fisher’s exact test\nIOP intraocular pressure\nThe study population was composed of 6 eyes in Group A, 28 eyes in Group B, and 16 eyes in Group C. As depicted in Table 2, the corresponding mean axial lengths were 23.13, 25.20, and 26.33 mm, respectively (Kruskal Wallis test, P < 0.001; post-hoc analysis using the Mann-Whitney test, Group A vs. B, P < 0.001; Group B vs. C, P < 0.001; Group A vs. C, P < 0.001). Subgroup analysis showed there was a significant proportion of moderate myopia subjects in Group C (linear-by-linear association test, P < 0.001), which also contained a larger proportion of subjects who experienced magnification effects compared to Groups A and B (50.0 %, 0 %, and 17.9 %, respectively, linear-by-linear association test, P = 0.006). Moreover, the absolute value of the corresponding maximal difference was also statistically significant (Kruskal Wallis test, P = 0.029; post-hoc analysis using Mann-Whitney test, Group A vs. B, P = 0.928; Group B vs. C, P = 0.027; Group A vs. C, P = 0.016).\nTable 2Comparison of ocular parameters according to the axial lengthVariablesGroup A(AL 22–24 mm)N = 6 eyesGroup B(AL 24–26 mm)N = 28 eyesGroup C(AL > 26 mm)N = 16 eyesP-valueAge, years24.7 ± 3.425.9 ± 3.623.8 ± 3.40.159aIOP, mm Hg14.2 ± 1.314.9 ± 2.515.6 ± 1.00.298aAxial length, mm23.13 ± 0.6725.20 ± 0.5026.33 ± 0.23< 0.001aAverage Keratometry (D)43.89 ± 1.3942.79 ± 1.5441.88 ± 1.020.011aSpherical Equivalent (D)-1.06 ± 0.49-2.41 ± 1.54-4.13 ± 0.88< 0.001aProportion of Refractive Error< 0.001b Plano to – 3D (Mild)6 (100.0 %)18 (64.3 %)2 (12.5 %) − 3 D to – 6 D (Moderate)0 (0 %)10 (35.7 %)14 (87.5 %)Max. Difference (%)3.40 ± 4.162.65 ± 7.99.36 ± 10.370.029aProportion of Subjects Max. Difference > 10 %0/6 (0 %)5/28 (17.9 %)8/16 (50.0 %)0.006bValues are presented as mean ± SD unless indicated otherwiseaP value using the Kruskal Wallis testbP value using the linear-by linear association testAL axial length; IOP intraocular pressure\nComparison of ocular parameters according to the axial length\nValues are presented as mean ± SD unless indicated otherwise\naP value using the Kruskal Wallis test\nbP value using the linear-by linear association test\nAL axial length; IOP intraocular pressure\nThe data presented in Table 3 indicate that the magnification group contained a larger proportion of patients with long axial lengths (≥ 26 mm, 61.5 % vs. 21.6 %, linear-by-linear association test, P = 0.006) and moderate myopia (-3 D to – 6 D, 35.2 % vs. 84.6 %, Fisher’s exact test, P = 0.003), as well as greater myopic refractive error (− 4.03 D vs. − 2.37 D, Mann-Whitney test, P = 0.001).\nTable 3Comparison of ocular parameters according to magnification effectsVariablesNo Magnification GroupN = 37 eyesMagnification Group(Max. Diff > 10 %)N = 13 eyesP-valueAge, years25.4 ± 3.323.9 ± 3.80.235aIOP, mm Hg15.2 ± 2.114.7 ± 1.70.381aAxial Length – 24 (mm)(Mean Axial length (mm))1.01 ± 1.05(25.01 ± 1.05)2.17 ± 0.45(26.17 ± 0.45)< 0.001aAxial Length (Proportion) 22–24 mm6 (16.2 %)0 (0 %)0.006b 24–26 mm23 (62.2 %)5 (38.5 %) 26 mm or above8 (21.6 %)8 (61.5 %)Avg. K value (D)42.87 ± 1.5141.94 ± 1.210.034aSpherical Equivalent− 2.37 ± 1.47− 4.03 ± 1.380.001aRefractive Error0.003c Plano to – 3D (Mild)24 (64.8 %)2 (15.4 %) − 3 D to – 6 D (Moderate)13 (35.2 %)11 (84.6 %)Values are presented as mean ± SD unless indicated otherwiseaP value using the Mann-Whitney testbP value using the linear-by linear association testcP value using the Fisher’s exact testIOP intraocular pressure\nComparison of ocular parameters according to magnification effects\nAxial Length – 24 (mm)\n(Mean Axial length (mm))\n1.01 ± 1.05\n(25.01 ± 1.05)\n2.17 ± 0.45\n(26.17 ± 0.45)\nValues are presented as mean ± SD unless indicated otherwise\naP value using the Mann-Whitney test\nbP value using the linear-by linear association test\ncP value using the Fisher’s exact test\nIOP intraocular pressure\nReceiver operating curves (ROC) and area under the ROC (AUROC) Figure 2 depicts receiver operating curves for magnification effects with corresponding cutoff values. The cutoff values are 25.44 mm (sensitivity/specificity = 100 %/62.2 %) for axial length and – 3.5 Diopter (sensitivity/specificity = 84.6 %/73.0 %) for refractive error. Although areas under the ROC (AUROC) for axial length (0.867, 95 % C.I 0.741–0.946) were higher than those for spherical equivalent (0.793, 95 % C.I 0.655–0.895), there was no statistical significance. Moreover, the values with specificity > 80 % were 26.04 mm for axial length and – 4.125 Diopters for refractive error.\nFig. 2Receiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent\nReceiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent\nFigure 2 depicts receiver operating curves for magnification effects with corresponding cutoff values. The cutoff values are 25.44 mm (sensitivity/specificity = 100 %/62.2 %) for axial length and – 3.5 Diopter (sensitivity/specificity = 84.6 %/73.0 %) for refractive error. Although areas under the ROC (AUROC) for axial length (0.867, 95 % C.I 0.741–0.946) were higher than those for spherical equivalent (0.793, 95 % C.I 0.655–0.895), there was no statistical significance. Moreover, the values with specificity > 80 % were 26.04 mm for axial length and – 4.125 Diopters for refractive error.\nFig. 2Receiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent\nReceiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent\nPercentage changes in measured area before and after the use of the CLs There was no significant difference between the CLs of different diopters (− 9 D, − 6 D, − 3 D, + 3 D, + 6 D, + 9 D) among the entire study group (Fig. 3 a). In subgroup analysis, the measured optic disc areas with the plus lenses (+ 3 D, + 6 D, + 9 D) were significantly higher than those with minus lenses in the moderate myopia group and Group C (Fig. 3b c). No adverse event associated to the application or removal of the CLs was observed.\nFig. 3Changes in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c)\nChanges in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c)\nThere was no significant difference between the CLs of different diopters (− 9 D, − 6 D, − 3 D, + 3 D, + 6 D, + 9 D) among the entire study group (Fig. 3 a). In subgroup analysis, the measured optic disc areas with the plus lenses (+ 3 D, + 6 D, + 9 D) were significantly higher than those with minus lenses in the moderate myopia group and Group C (Fig. 3b c). No adverse event associated to the application or removal of the CLs was observed.\nFig. 3Changes in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c)\nChanges in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c)", "A total of 50 eyes from 25 healthy subjects (13 male and 12 female) were included. The average age of the subjects was 25.0 ± 3.5 years; the average spherical equivalent and axial length were − 2.80 ± 1.61 D and 25.31 ± 1.07 mm, respectively. Other demographic information has been detailed in Table 1.\nTable 1Baseline characteristics of the study participantsVariablesStudy participants(50 eyes of 25 subjects)Age, years25.0 ± 3.5 (Range 20–33)Male/Female13/12IOP, mm Hg15.1 ± 2.0(Range 11–20)Axial Length, mm25.31 ± 1.07Avg. Keratometry (Diopters)42.63 ± 1.49 DSpherical Equivalent (Diopters)− 2.80 ± 1.61(Range, -0.125D ~ -5.375D)Values are presented as mean ± SD unless indicated otherwiseIOP intraocular pressure\nBaseline characteristics of the study participants\n25.0 ± 3.5 \n(Range 20–33)\n15.1 ± 2.0\n(Range 11–20)\n− 2.80 ± 1.61\n(Range, -0.125D ~ -5.375D)\nValues are presented as mean ± SD unless indicated otherwise\nIOP intraocular pressure", "The study population was composed of 6 eyes in Group A, 28 eyes in Group B, and 16 eyes in Group C. As depicted in Table 2, the corresponding mean axial lengths were 23.13, 25.20, and 26.33 mm, respectively (Kruskal Wallis test, P < 0.001; post-hoc analysis using the Mann-Whitney test, Group A vs. B, P < 0.001; Group B vs. C, P < 0.001; Group A vs. C, P < 0.001). Subgroup analysis showed there was a significant proportion of moderate myopia subjects in Group C (linear-by-linear association test, P < 0.001), which also contained a larger proportion of subjects who experienced magnification effects compared to Groups A and B (50.0 %, 0 %, and 17.9 %, respectively, linear-by-linear association test, P = 0.006). Moreover, the absolute value of the corresponding maximal difference was also statistically significant (Kruskal Wallis test, P = 0.029; post-hoc analysis using Mann-Whitney test, Group A vs. B, P = 0.928; Group B vs. C, P = 0.027; Group A vs. C, P = 0.016).\nTable 2Comparison of ocular parameters according to the axial lengthVariablesGroup A(AL 22–24 mm)N = 6 eyesGroup B(AL 24–26 mm)N = 28 eyesGroup C(AL > 26 mm)N = 16 eyesP-valueAge, years24.7 ± 3.425.9 ± 3.623.8 ± 3.40.159aIOP, mm Hg14.2 ± 1.314.9 ± 2.515.6 ± 1.00.298aAxial length, mm23.13 ± 0.6725.20 ± 0.5026.33 ± 0.23< 0.001aAverage Keratometry (D)43.89 ± 1.3942.79 ± 1.5441.88 ± 1.020.011aSpherical Equivalent (D)-1.06 ± 0.49-2.41 ± 1.54-4.13 ± 0.88< 0.001aProportion of Refractive Error< 0.001b Plano to – 3D (Mild)6 (100.0 %)18 (64.3 %)2 (12.5 %) − 3 D to – 6 D (Moderate)0 (0 %)10 (35.7 %)14 (87.5 %)Max. Difference (%)3.40 ± 4.162.65 ± 7.99.36 ± 10.370.029aProportion of Subjects Max. Difference > 10 %0/6 (0 %)5/28 (17.9 %)8/16 (50.0 %)0.006bValues are presented as mean ± SD unless indicated otherwiseaP value using the Kruskal Wallis testbP value using the linear-by linear association testAL axial length; IOP intraocular pressure\nComparison of ocular parameters according to the axial length\nValues are presented as mean ± SD unless indicated otherwise\naP value using the Kruskal Wallis test\nbP value using the linear-by linear association test\nAL axial length; IOP intraocular pressure\nThe data presented in Table 3 indicate that the magnification group contained a larger proportion of patients with long axial lengths (≥ 26 mm, 61.5 % vs. 21.6 %, linear-by-linear association test, P = 0.006) and moderate myopia (-3 D to – 6 D, 35.2 % vs. 84.6 %, Fisher’s exact test, P = 0.003), as well as greater myopic refractive error (− 4.03 D vs. − 2.37 D, Mann-Whitney test, P = 0.001).\nTable 3Comparison of ocular parameters according to magnification effectsVariablesNo Magnification GroupN = 37 eyesMagnification Group(Max. Diff > 10 %)N = 13 eyesP-valueAge, years25.4 ± 3.323.9 ± 3.80.235aIOP, mm Hg15.2 ± 2.114.7 ± 1.70.381aAxial Length – 24 (mm)(Mean Axial length (mm))1.01 ± 1.05(25.01 ± 1.05)2.17 ± 0.45(26.17 ± 0.45)< 0.001aAxial Length (Proportion) 22–24 mm6 (16.2 %)0 (0 %)0.006b 24–26 mm23 (62.2 %)5 (38.5 %) 26 mm or above8 (21.6 %)8 (61.5 %)Avg. K value (D)42.87 ± 1.5141.94 ± 1.210.034aSpherical Equivalent− 2.37 ± 1.47− 4.03 ± 1.380.001aRefractive Error0.003c Plano to – 3D (Mild)24 (64.8 %)2 (15.4 %) − 3 D to – 6 D (Moderate)13 (35.2 %)11 (84.6 %)Values are presented as mean ± SD unless indicated otherwiseaP value using the Mann-Whitney testbP value using the linear-by linear association testcP value using the Fisher’s exact testIOP intraocular pressure\nComparison of ocular parameters according to magnification effects\nAxial Length – 24 (mm)\n(Mean Axial length (mm))\n1.01 ± 1.05\n(25.01 ± 1.05)\n2.17 ± 0.45\n(26.17 ± 0.45)\nValues are presented as mean ± SD unless indicated otherwise\naP value using the Mann-Whitney test\nbP value using the linear-by linear association test\ncP value using the Fisher’s exact test\nIOP intraocular pressure", "Figure 2 depicts receiver operating curves for magnification effects with corresponding cutoff values. The cutoff values are 25.44 mm (sensitivity/specificity = 100 %/62.2 %) for axial length and – 3.5 Diopter (sensitivity/specificity = 84.6 %/73.0 %) for refractive error. Although areas under the ROC (AUROC) for axial length (0.867, 95 % C.I 0.741–0.946) were higher than those for spherical equivalent (0.793, 95 % C.I 0.655–0.895), there was no statistical significance. Moreover, the values with specificity > 80 % were 26.04 mm for axial length and – 4.125 Diopters for refractive error.\nFig. 2Receiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent\nReceiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent", "There was no significant difference between the CLs of different diopters (− 9 D, − 6 D, − 3 D, + 3 D, + 6 D, + 9 D) among the entire study group (Fig. 3 a). In subgroup analysis, the measured optic disc areas with the plus lenses (+ 3 D, + 6 D, + 9 D) were significantly higher than those with minus lenses in the moderate myopia group and Group C (Fig. 3b c). No adverse event associated to the application or removal of the CLs was observed.\nFig. 3Changes in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c)\nChanges in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c)", "In the present study, measurement of area was unaffected by refractive power in the normal axial length group (A, 22–24 mm) and the mid-axial length group (B, 24–26 mm). On the contrary, the measurement of area in the long axial length group (C, 26 mm or above) was affected by changes in refractive power.\nTo the best of our knowledge, no previous studies have examined the use of CL to compare area measures using UWF images. The use of CLs is capable of providing refractive error correction from either astigmatism or axial length without the use of a correction formula. In this specific population with AL ≥ 26 mm, the refractive correction achieved with a CL affected the area measurement with a statistical significance and an effect size measured in maximal difference of 9.36 ± 10.37 %. These findings are important to avoid misinterpretations or false interpretations of area measurements. Compared to measurements on UWF images using minus lenses, those using plus lenses were observed to be more affected in Group C, compared to Groups A and B.\nThis phenomenon is likely to be related to the myopia, with the possible hypotheses; (1) deviation from the spherical retinal model, (2) ocular magnification and (3) overestimation by grader; also a combination of these effects is possible First, we primarily consider ocular magnification effects by CL alone. A plus CL is convex, which causes light convergence. This additional lens power further focuses the scan in front of the retina, and, in particular, a positive refractive defocus error causes the scan circle to shrink in the retinal plane and become smaller in terms of the usual scan size or degrees in diameter [16, 17]. These changes could lead to an overestimation of area measurement, whereas minus CLs may similarly lead to underestimation [11]. Second, myopic eyes are elongated and may deviate from the spherical model used to perform anatomically-correct measurements.\nThe mean ICCs for grader 2, in particular, and between graders, were observed to be 0.942 and 0.927, respectively, suggesting good intra-grader and inter-grader reproducibility of these measurements; however, the possibility of over-estimation owing to image quality still remained [18]. With the influence of both the aforementioned effects on the estimation of the optic disc margin, ocular magnification effects are also prone to being exacerbated by the graders.\nThese findings are supported by previous studies using OCT. In spectral domain OCT models, signal strength and scan reliability decreased in long axial lengths [19, 20]. Similarly, increase in axial length has been confirmed to lead to ocular magnification and an underestimation of the nerve fiber layer (NFL) in SD-OCT scans without the use of a correction formula for a refractive error of less than − 4 D [13, 21, 22]. However, even correction formulas including the Litmann formula or Bennett formula are known to not be able to guarantee an accurate assessment of the optic nerve head [12, 23]. These effects may increase with increasing axial length [24].\nThe limitations of our study are as follows. (1) A relatively small cohort and specific sample composed of young healthy adults. (2) No subjects with hyperopic eyes or short axial lengths < 22 mm were included in the study; these subject characteristics (volunteers) reflect demographics common in the young Korean population; the prevalence of myopia in 19-year-old males in Seoul was 96.5 %, and the prevalence of high myopia (less than − 6.0 D) was 21.6 % [25, 26]. For this reason, there is a limit to extrapolating our result to hyperopic eyes. Thus, further studies are needed to clarify the magnification effects in hyperopic eyes and other ethnicities. (3) We were unable to exclude the accommodation effect; CL-induced refractive changes might exceed physiologic accommodation. (4) Myopic eyes, which are often elongated, can deviate from a spherical shape assumed for quantification. Despite these limitations, our models have certain advantages. This is the first study to analyze the effect of refractive error on the area measured after correcting the peripheral distortion by the stereographic method. In addition, the use of CL could provide a refractive error correction for either astigmatism or axial length without the use of a correction formula, such as the Littmann or the Bennett formulae.", "To the best of our knowledge, this is the first study to investigate the effect of refractive error on area measurement in UWF images. Our study demonstrated that refractive errors might affect area measurement accuracy in subjects with long axial length. Although the majority of the subjects exhibited no definite magnification effects, it was concluded that careful correction or consideration is required for area measurement in eyes with long axial lengths." ]
[ null, null, null, null, null, "results", null, null, null, null, "discussion", "conclusion" ]
[ "Area measurement", "Axial length", "Retina", "Ultra‐widefield imaging", "Quantification" ]
Background: Advances in ultra-widefield (UWF) imaging technology have allowed noninvasive, single images of the peripheral retina [1, 2]. Regardless of this advantage, UWF images include significant distortion when they are projected onto a two-dimensional surface for viewing [1, 3, 4]. Thus, stereoscopic projection algorithms have been employed to correct image distortion [1, 2, 5, 6]. A three-dimensional object (fundus image) was mapped to a two-dimensional stereographic plane by projecting all relevant pixels onto a plane through the equator of the eye [1, 3]. As this stereographic projection preserves the shape of a sphere, it enables the correct measurement of area based on calculations made on the sphere [1]. Therefore, many clinical studies that require quantitative analysis of fundus images have used this technology [1, 4, 7–10]. Moreover, a stereographic projection algorithm using axial length information can produce accurate and precise measurements relative to an intraocular ground truth standard [1, 2, 6]. However, even with these impressive advancements, refractive error itself might affect the size and quality of images theoretically [11]. In routine clinical practice, UWF images are obtained in subjects without refractive error correction, although refractive errors are capable of causing image distortion and magnification effects. Further, several previous studies using optical coherence tomography (OCT) have indicated that refractive errors affect the analysis of retinal nerve fiber layer (RNFL) thickness, leading to lower values in myopic eyes compared to normal eyes due to the differences in axial lengths and the magnification effects [12, 13]. There are many controversies regarding the effects of refractive errors on measurement of the retina. Certain investigations using OCT report that contact lens diopter does not significantly affect measurement of RNFL [14, 15]. On the contrary, other reports have suggested that RNFL thickness decreases as refractive power becomes more negative [12]. To date, there are no studies regarding the effects of refractive error on area measurement using UWF. In this context, many studies using stereoscopic measurement have empirically employed inclusion criteria between + 3 Diopters to − 3 or − 6 Diopters. Therefore, the purpose of this study was 1) to investigate the effects of refractive error in contact lenses (CLs) on area measurement in UWF images in healthy subjects with myopia and (2) to compare the magnification effects according to axial lengths. Methods: Study subjects and baseline examinations This is a single-center, prospective, interventional study conducted at Yeungnam University Medical Center between March 2018 and April 2018. The study protocol was approved by the Institutional Review Board of Yeungnam University Medical Center (IRB No. 2017-04-026). All participants provided signed informed consent, and the study adhered to the tenets of the Declaration of Helsinki. The participants included healthy young subjects aged 18 years or older. Normal subjects were defined as those with no history of systemic or ocular disease or no presence of ocular surgery. The exclusion criteria were as follows: myopia < − 6 D, astigmatism > 1.5 D, intraocular pressure (IOP) > 21 mmHg, media opacity that obscured image acquisition, pathologic myopic changes of the retina such as posterior staphyloma, Lacquer crack, tessellated fundus, or myopic foveoschisis, or changes of the optic disc such as tilted disc configuration, myopic parapillary atrophy or glaucomatous changes. Media opacity was defined to be the presence of corneal scarring, corneal edema, cataract, or vitreous haze. Each participant underwent a routine ophthalmic examination, including evaluation of past medical history, best-corrected visual acuity, refractive error without pupil dilation (Auto-refracto-keratometer, HRK-7000 A; Huvitz Co., Ltd., Korea), IOP (TX-20 Full Auto Tonometers; Canon, Tokyo, Japan), and axial length (IOL Master500; Carl Zeiss Meditec, Gena, Germany). Considering the fact that axial length and degree of baseline refractive error are capable of influencing the measurement of area in UWF images, we classified the subjects into three groups based on their corresponding axial lengths: below-average axial length group (Group A, between 22 and 24 mm), above-average axial length group (Group B, between 24 and 26 mm), and long axial length group (Group C, 26 mm or above). Further, we classified the subjects into two groups based on refractive error: mild myopia (Plano to − 3 D) and moderate myopia (− 3 D to − 6 D). This is a single-center, prospective, interventional study conducted at Yeungnam University Medical Center between March 2018 and April 2018. The study protocol was approved by the Institutional Review Board of Yeungnam University Medical Center (IRB No. 2017-04-026). All participants provided signed informed consent, and the study adhered to the tenets of the Declaration of Helsinki. The participants included healthy young subjects aged 18 years or older. Normal subjects were defined as those with no history of systemic or ocular disease or no presence of ocular surgery. The exclusion criteria were as follows: myopia < − 6 D, astigmatism > 1.5 D, intraocular pressure (IOP) > 21 mmHg, media opacity that obscured image acquisition, pathologic myopic changes of the retina such as posterior staphyloma, Lacquer crack, tessellated fundus, or myopic foveoschisis, or changes of the optic disc such as tilted disc configuration, myopic parapillary atrophy or glaucomatous changes. Media opacity was defined to be the presence of corneal scarring, corneal edema, cataract, or vitreous haze. Each participant underwent a routine ophthalmic examination, including evaluation of past medical history, best-corrected visual acuity, refractive error without pupil dilation (Auto-refracto-keratometer, HRK-7000 A; Huvitz Co., Ltd., Korea), IOP (TX-20 Full Auto Tonometers; Canon, Tokyo, Japan), and axial length (IOL Master500; Carl Zeiss Meditec, Gena, Germany). Considering the fact that axial length and degree of baseline refractive error are capable of influencing the measurement of area in UWF images, we classified the subjects into three groups based on their corresponding axial lengths: below-average axial length group (Group A, between 22 and 24 mm), above-average axial length group (Group B, between 24 and 26 mm), and long axial length group (Group C, 26 mm or above). Further, we classified the subjects into two groups based on refractive error: mild myopia (Plano to − 3 D) and moderate myopia (− 3 D to − 6 D). Image acquisition, projection, and quantification UWF imaging was performed using an Optos UWF system (Optos California; Dunfermline, Scotland, UK). UWF images were acquired first without the use of soft CL, and then the process was repeated using CLs of six different diopters (+ 9 D, + 6 D, + 3 D, − 3 D, − 6 D, and − 9 D). We employed the usage of various different powers of CL, because the use of CL could provide a refractive error correction for either astigmatism or axial length without the use of correction formula [12]. Acquired images were transformed to a stereographic projection image using proprietary software from the manufacturer [1]. With stereographically projected UWF images, two masked, trained ophthalmologists manually outlined the optic disc area by 15–17 points where the disc margin meets the blood vessel using Image J V.1.49b (US National Institutes of Health, Bethesda, Maryland). The area of the optic disc corresponding to each image was measured in square millimeters (mm2) by summing the anatomically-correct sizes of all pixels that comprised the disc margin (Fig. 1). To increase the reproducibility and the accuracy of measurement, we choose the optic disc as the “area of interest”, considering a method used in previous studies [1, 4, 7–10]. Two independent, masked graders performed annotations of the optic disc twice, and the average value was used for subsequent statistical analyses. These values obtained using CLs were compared with the measurements obtained from the baseline image without CL (100.0 %), and the respective percentage differences were determined. The maximal difference (%) in each case was defined as absolute value differences (% area difference) compared to those for the baseline image without CL to determine the magnification effect by refractive change in the “same eye”. The magnification group comprised subjects exhibiting maximal difference > 10 %. Fig. 1Measurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin Measurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin UWF imaging was performed using an Optos UWF system (Optos California; Dunfermline, Scotland, UK). UWF images were acquired first without the use of soft CL, and then the process was repeated using CLs of six different diopters (+ 9 D, + 6 D, + 3 D, − 3 D, − 6 D, and − 9 D). We employed the usage of various different powers of CL, because the use of CL could provide a refractive error correction for either astigmatism or axial length without the use of correction formula [12]. Acquired images were transformed to a stereographic projection image using proprietary software from the manufacturer [1]. With stereographically projected UWF images, two masked, trained ophthalmologists manually outlined the optic disc area by 15–17 points where the disc margin meets the blood vessel using Image J V.1.49b (US National Institutes of Health, Bethesda, Maryland). The area of the optic disc corresponding to each image was measured in square millimeters (mm2) by summing the anatomically-correct sizes of all pixels that comprised the disc margin (Fig. 1). To increase the reproducibility and the accuracy of measurement, we choose the optic disc as the “area of interest”, considering a method used in previous studies [1, 4, 7–10]. Two independent, masked graders performed annotations of the optic disc twice, and the average value was used for subsequent statistical analyses. These values obtained using CLs were compared with the measurements obtained from the baseline image without CL (100.0 %), and the respective percentage differences were determined. The maximal difference (%) in each case was defined as absolute value differences (% area difference) compared to those for the baseline image without CL to determine the magnification effect by refractive change in the “same eye”. The magnification group comprised subjects exhibiting maximal difference > 10 %. Fig. 1Measurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin Measurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin Statistical analysis Statistical analyses were conducted using SPSS software (version 19.0; IBM Corp., Armonk, NY) and MedCalc (version 15.8; MedCalc, Inc., Ostend, Belgium). The Kolmogorov-Smirnov test was used to assess sample distribution. The differences in numerical data were analyzed using repeated measure analysis of variance (ANOVA), Kruskal Wallis test, independent t-test, and Mann-Whitney test. Categorical variables were evaluated using linear-by-linear association test and Fisher’s exact tests. Area under the curve, sensitivity, and specificity were calculated using the receiver operating characteristics (ROC) curve. A multiple comparison with Bonferroni correction was performed in cases that exhibited significant difference. Intra-grader and inter-grader agreement values were evaluated by intra-class correlation coefficient (ICC) values. Statistical significance was defined as P < 0.05. Statistical analyses were conducted using SPSS software (version 19.0; IBM Corp., Armonk, NY) and MedCalc (version 15.8; MedCalc, Inc., Ostend, Belgium). The Kolmogorov-Smirnov test was used to assess sample distribution. The differences in numerical data were analyzed using repeated measure analysis of variance (ANOVA), Kruskal Wallis test, independent t-test, and Mann-Whitney test. Categorical variables were evaluated using linear-by-linear association test and Fisher’s exact tests. Area under the curve, sensitivity, and specificity were calculated using the receiver operating characteristics (ROC) curve. A multiple comparison with Bonferroni correction was performed in cases that exhibited significant difference. Intra-grader and inter-grader agreement values were evaluated by intra-class correlation coefficient (ICC) values. Statistical significance was defined as P < 0.05. Study subjects and baseline examinations: This is a single-center, prospective, interventional study conducted at Yeungnam University Medical Center between March 2018 and April 2018. The study protocol was approved by the Institutional Review Board of Yeungnam University Medical Center (IRB No. 2017-04-026). All participants provided signed informed consent, and the study adhered to the tenets of the Declaration of Helsinki. The participants included healthy young subjects aged 18 years or older. Normal subjects were defined as those with no history of systemic or ocular disease or no presence of ocular surgery. The exclusion criteria were as follows: myopia < − 6 D, astigmatism > 1.5 D, intraocular pressure (IOP) > 21 mmHg, media opacity that obscured image acquisition, pathologic myopic changes of the retina such as posterior staphyloma, Lacquer crack, tessellated fundus, or myopic foveoschisis, or changes of the optic disc such as tilted disc configuration, myopic parapillary atrophy or glaucomatous changes. Media opacity was defined to be the presence of corneal scarring, corneal edema, cataract, or vitreous haze. Each participant underwent a routine ophthalmic examination, including evaluation of past medical history, best-corrected visual acuity, refractive error without pupil dilation (Auto-refracto-keratometer, HRK-7000 A; Huvitz Co., Ltd., Korea), IOP (TX-20 Full Auto Tonometers; Canon, Tokyo, Japan), and axial length (IOL Master500; Carl Zeiss Meditec, Gena, Germany). Considering the fact that axial length and degree of baseline refractive error are capable of influencing the measurement of area in UWF images, we classified the subjects into three groups based on their corresponding axial lengths: below-average axial length group (Group A, between 22 and 24 mm), above-average axial length group (Group B, between 24 and 26 mm), and long axial length group (Group C, 26 mm or above). Further, we classified the subjects into two groups based on refractive error: mild myopia (Plano to − 3 D) and moderate myopia (− 3 D to − 6 D). Image acquisition, projection, and quantification: UWF imaging was performed using an Optos UWF system (Optos California; Dunfermline, Scotland, UK). UWF images were acquired first without the use of soft CL, and then the process was repeated using CLs of six different diopters (+ 9 D, + 6 D, + 3 D, − 3 D, − 6 D, and − 9 D). We employed the usage of various different powers of CL, because the use of CL could provide a refractive error correction for either astigmatism or axial length without the use of correction formula [12]. Acquired images were transformed to a stereographic projection image using proprietary software from the manufacturer [1]. With stereographically projected UWF images, two masked, trained ophthalmologists manually outlined the optic disc area by 15–17 points where the disc margin meets the blood vessel using Image J V.1.49b (US National Institutes of Health, Bethesda, Maryland). The area of the optic disc corresponding to each image was measured in square millimeters (mm2) by summing the anatomically-correct sizes of all pixels that comprised the disc margin (Fig. 1). To increase the reproducibility and the accuracy of measurement, we choose the optic disc as the “area of interest”, considering a method used in previous studies [1, 4, 7–10]. Two independent, masked graders performed annotations of the optic disc twice, and the average value was used for subsequent statistical analyses. These values obtained using CLs were compared with the measurements obtained from the baseline image without CL (100.0 %), and the respective percentage differences were determined. The maximal difference (%) in each case was defined as absolute value differences (% area difference) compared to those for the baseline image without CL to determine the magnification effect by refractive change in the “same eye”. The magnification group comprised subjects exhibiting maximal difference > 10 %. Fig. 1Measurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin Measurement (quantification) of optic disc area. Ultrawide-field (UWF) retinal images were projected onto a flat map to preserve the peripheral aspect ratio to a best-fit 24 mm globe model. With stereographically projected UWF images, the optic disc area was outlined with 15–17 points where the disc margin meets the blood vessel. In each case, the optic disc area was measured in square millimeters (mm2) by summing the anatomically-corrected sizes of all pixels that comprise the disc margin Statistical analysis: Statistical analyses were conducted using SPSS software (version 19.0; IBM Corp., Armonk, NY) and MedCalc (version 15.8; MedCalc, Inc., Ostend, Belgium). The Kolmogorov-Smirnov test was used to assess sample distribution. The differences in numerical data were analyzed using repeated measure analysis of variance (ANOVA), Kruskal Wallis test, independent t-test, and Mann-Whitney test. Categorical variables were evaluated using linear-by-linear association test and Fisher’s exact tests. Area under the curve, sensitivity, and specificity were calculated using the receiver operating characteristics (ROC) curve. A multiple comparison with Bonferroni correction was performed in cases that exhibited significant difference. Intra-grader and inter-grader agreement values were evaluated by intra-class correlation coefficient (ICC) values. Statistical significance was defined as P < 0.05. Results: Baseline characteristics A total of 50 eyes from 25 healthy subjects (13 male and 12 female) were included. The average age of the subjects was 25.0 ± 3.5 years; the average spherical equivalent and axial length were − 2.80 ± 1.61 D and 25.31 ± 1.07 mm, respectively. Other demographic information has been detailed in Table 1. Table 1Baseline characteristics of the study participantsVariablesStudy participants(50 eyes of 25 subjects)Age, years25.0 ± 3.5 (Range 20–33)Male/Female13/12IOP, mm Hg15.1 ± 2.0(Range 11–20)Axial Length, mm25.31 ± 1.07Avg. Keratometry (Diopters)42.63 ± 1.49 DSpherical Equivalent (Diopters)− 2.80 ± 1.61(Range, -0.125D ~ -5.375D)Values are presented as mean ± SD unless indicated otherwiseIOP intraocular pressure Baseline characteristics of the study participants 25.0 ± 3.5 (Range 20–33) 15.1 ± 2.0 (Range 11–20) − 2.80 ± 1.61 (Range, -0.125D ~ -5.375D) Values are presented as mean ± SD unless indicated otherwise IOP intraocular pressure A total of 50 eyes from 25 healthy subjects (13 male and 12 female) were included. The average age of the subjects was 25.0 ± 3.5 years; the average spherical equivalent and axial length were − 2.80 ± 1.61 D and 25.31 ± 1.07 mm, respectively. Other demographic information has been detailed in Table 1. Table 1Baseline characteristics of the study participantsVariablesStudy participants(50 eyes of 25 subjects)Age, years25.0 ± 3.5 (Range 20–33)Male/Female13/12IOP, mm Hg15.1 ± 2.0(Range 11–20)Axial Length, mm25.31 ± 1.07Avg. Keratometry (Diopters)42.63 ± 1.49 DSpherical Equivalent (Diopters)− 2.80 ± 1.61(Range, -0.125D ~ -5.375D)Values are presented as mean ± SD unless indicated otherwiseIOP intraocular pressure Baseline characteristics of the study participants 25.0 ± 3.5 (Range 20–33) 15.1 ± 2.0 (Range 11–20) − 2.80 ± 1.61 (Range, -0.125D ~ -5.375D) Values are presented as mean ± SD unless indicated otherwise IOP intraocular pressure Subgroup analysis according to axial length and magnification effect The study population was composed of 6 eyes in Group A, 28 eyes in Group B, and 16 eyes in Group C. As depicted in Table 2, the corresponding mean axial lengths were 23.13, 25.20, and 26.33 mm, respectively (Kruskal Wallis test, P < 0.001; post-hoc analysis using the Mann-Whitney test, Group A vs. B, P < 0.001; Group B vs. C, P < 0.001; Group A vs. C, P < 0.001). Subgroup analysis showed there was a significant proportion of moderate myopia subjects in Group C (linear-by-linear association test, P < 0.001), which also contained a larger proportion of subjects who experienced magnification effects compared to Groups A and B (50.0 %, 0 %, and 17.9 %, respectively, linear-by-linear association test, P = 0.006). Moreover, the absolute value of the corresponding maximal difference was also statistically significant (Kruskal Wallis test, P = 0.029; post-hoc analysis using Mann-Whitney test, Group A vs. B, P = 0.928; Group B vs. C, P = 0.027; Group A vs. C, P = 0.016). Table 2Comparison of ocular parameters according to the axial lengthVariablesGroup A(AL 22–24 mm)N = 6 eyesGroup B(AL 24–26 mm)N = 28 eyesGroup C(AL > 26 mm)N = 16 eyesP-valueAge, years24.7 ± 3.425.9 ± 3.623.8 ± 3.40.159aIOP, mm Hg14.2 ± 1.314.9 ± 2.515.6 ± 1.00.298aAxial length, mm23.13 ± 0.6725.20 ± 0.5026.33 ± 0.23< 0.001aAverage Keratometry (D)43.89 ± 1.3942.79 ± 1.5441.88 ± 1.020.011aSpherical Equivalent (D)-1.06 ± 0.49-2.41 ± 1.54-4.13 ± 0.88< 0.001aProportion of Refractive Error< 0.001b Plano to – 3D (Mild)6 (100.0 %)18 (64.3 %)2 (12.5 %) − 3 D to – 6 D (Moderate)0 (0 %)10 (35.7 %)14 (87.5 %)Max. Difference (%)3.40 ± 4.162.65 ± 7.99.36 ± 10.370.029aProportion of Subjects Max. Difference > 10 %0/6 (0 %)5/28 (17.9 %)8/16 (50.0 %)0.006bValues are presented as mean ± SD unless indicated otherwiseaP value using the Kruskal Wallis testbP value using the linear-by linear association testAL axial length; IOP intraocular pressure Comparison of ocular parameters according to the axial length Values are presented as mean ± SD unless indicated otherwise aP value using the Kruskal Wallis test bP value using the linear-by linear association test AL axial length; IOP intraocular pressure The data presented in Table 3 indicate that the magnification group contained a larger proportion of patients with long axial lengths (≥ 26 mm, 61.5 % vs. 21.6 %, linear-by-linear association test, P = 0.006) and moderate myopia (-3 D to – 6 D, 35.2 % vs. 84.6 %, Fisher’s exact test, P = 0.003), as well as greater myopic refractive error (− 4.03 D vs. − 2.37 D, Mann-Whitney test, P = 0.001). Table 3Comparison of ocular parameters according to magnification effectsVariablesNo Magnification GroupN = 37 eyesMagnification Group(Max. Diff > 10 %)N = 13 eyesP-valueAge, years25.4 ± 3.323.9 ± 3.80.235aIOP, mm Hg15.2 ± 2.114.7 ± 1.70.381aAxial Length – 24 (mm)(Mean Axial length (mm))1.01 ± 1.05(25.01 ± 1.05)2.17 ± 0.45(26.17 ± 0.45)< 0.001aAxial Length (Proportion) 22–24 mm6 (16.2 %)0 (0 %)0.006b 24–26 mm23 (62.2 %)5 (38.5 %) 26 mm or above8 (21.6 %)8 (61.5 %)Avg. K value (D)42.87 ± 1.5141.94 ± 1.210.034aSpherical Equivalent− 2.37 ± 1.47− 4.03 ± 1.380.001aRefractive Error0.003c Plano to – 3D (Mild)24 (64.8 %)2 (15.4 %) − 3 D to – 6 D (Moderate)13 (35.2 %)11 (84.6 %)Values are presented as mean ± SD unless indicated otherwiseaP value using the Mann-Whitney testbP value using the linear-by linear association testcP value using the Fisher’s exact testIOP intraocular pressure Comparison of ocular parameters according to magnification effects Axial Length – 24 (mm) (Mean Axial length (mm)) 1.01 ± 1.05 (25.01 ± 1.05) 2.17 ± 0.45 (26.17 ± 0.45) Values are presented as mean ± SD unless indicated otherwise aP value using the Mann-Whitney test bP value using the linear-by linear association test cP value using the Fisher’s exact test IOP intraocular pressure The study population was composed of 6 eyes in Group A, 28 eyes in Group B, and 16 eyes in Group C. As depicted in Table 2, the corresponding mean axial lengths were 23.13, 25.20, and 26.33 mm, respectively (Kruskal Wallis test, P < 0.001; post-hoc analysis using the Mann-Whitney test, Group A vs. B, P < 0.001; Group B vs. C, P < 0.001; Group A vs. C, P < 0.001). Subgroup analysis showed there was a significant proportion of moderate myopia subjects in Group C (linear-by-linear association test, P < 0.001), which also contained a larger proportion of subjects who experienced magnification effects compared to Groups A and B (50.0 %, 0 %, and 17.9 %, respectively, linear-by-linear association test, P = 0.006). Moreover, the absolute value of the corresponding maximal difference was also statistically significant (Kruskal Wallis test, P = 0.029; post-hoc analysis using Mann-Whitney test, Group A vs. B, P = 0.928; Group B vs. C, P = 0.027; Group A vs. C, P = 0.016). Table 2Comparison of ocular parameters according to the axial lengthVariablesGroup A(AL 22–24 mm)N = 6 eyesGroup B(AL 24–26 mm)N = 28 eyesGroup C(AL > 26 mm)N = 16 eyesP-valueAge, years24.7 ± 3.425.9 ± 3.623.8 ± 3.40.159aIOP, mm Hg14.2 ± 1.314.9 ± 2.515.6 ± 1.00.298aAxial length, mm23.13 ± 0.6725.20 ± 0.5026.33 ± 0.23< 0.001aAverage Keratometry (D)43.89 ± 1.3942.79 ± 1.5441.88 ± 1.020.011aSpherical Equivalent (D)-1.06 ± 0.49-2.41 ± 1.54-4.13 ± 0.88< 0.001aProportion of Refractive Error< 0.001b Plano to – 3D (Mild)6 (100.0 %)18 (64.3 %)2 (12.5 %) − 3 D to – 6 D (Moderate)0 (0 %)10 (35.7 %)14 (87.5 %)Max. Difference (%)3.40 ± 4.162.65 ± 7.99.36 ± 10.370.029aProportion of Subjects Max. Difference > 10 %0/6 (0 %)5/28 (17.9 %)8/16 (50.0 %)0.006bValues are presented as mean ± SD unless indicated otherwiseaP value using the Kruskal Wallis testbP value using the linear-by linear association testAL axial length; IOP intraocular pressure Comparison of ocular parameters according to the axial length Values are presented as mean ± SD unless indicated otherwise aP value using the Kruskal Wallis test bP value using the linear-by linear association test AL axial length; IOP intraocular pressure The data presented in Table 3 indicate that the magnification group contained a larger proportion of patients with long axial lengths (≥ 26 mm, 61.5 % vs. 21.6 %, linear-by-linear association test, P = 0.006) and moderate myopia (-3 D to – 6 D, 35.2 % vs. 84.6 %, Fisher’s exact test, P = 0.003), as well as greater myopic refractive error (− 4.03 D vs. − 2.37 D, Mann-Whitney test, P = 0.001). Table 3Comparison of ocular parameters according to magnification effectsVariablesNo Magnification GroupN = 37 eyesMagnification Group(Max. Diff > 10 %)N = 13 eyesP-valueAge, years25.4 ± 3.323.9 ± 3.80.235aIOP, mm Hg15.2 ± 2.114.7 ± 1.70.381aAxial Length – 24 (mm)(Mean Axial length (mm))1.01 ± 1.05(25.01 ± 1.05)2.17 ± 0.45(26.17 ± 0.45)< 0.001aAxial Length (Proportion) 22–24 mm6 (16.2 %)0 (0 %)0.006b 24–26 mm23 (62.2 %)5 (38.5 %) 26 mm or above8 (21.6 %)8 (61.5 %)Avg. K value (D)42.87 ± 1.5141.94 ± 1.210.034aSpherical Equivalent− 2.37 ± 1.47− 4.03 ± 1.380.001aRefractive Error0.003c Plano to – 3D (Mild)24 (64.8 %)2 (15.4 %) − 3 D to – 6 D (Moderate)13 (35.2 %)11 (84.6 %)Values are presented as mean ± SD unless indicated otherwiseaP value using the Mann-Whitney testbP value using the linear-by linear association testcP value using the Fisher’s exact testIOP intraocular pressure Comparison of ocular parameters according to magnification effects Axial Length – 24 (mm) (Mean Axial length (mm)) 1.01 ± 1.05 (25.01 ± 1.05) 2.17 ± 0.45 (26.17 ± 0.45) Values are presented as mean ± SD unless indicated otherwise aP value using the Mann-Whitney test bP value using the linear-by linear association test cP value using the Fisher’s exact test IOP intraocular pressure Receiver operating curves (ROC) and area under the ROC (AUROC) Figure 2 depicts receiver operating curves for magnification effects with corresponding cutoff values. The cutoff values are 25.44 mm (sensitivity/specificity = 100 %/62.2 %) for axial length and – 3.5 Diopter (sensitivity/specificity = 84.6 %/73.0 %) for refractive error. Although areas under the ROC (AUROC) for axial length (0.867, 95 % C.I 0.741–0.946) were higher than those for spherical equivalent (0.793, 95 % C.I 0.655–0.895), there was no statistical significance. Moreover, the values with specificity > 80 % were 26.04 mm for axial length and – 4.125 Diopters for refractive error. Fig. 2Receiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent Receiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent Figure 2 depicts receiver operating curves for magnification effects with corresponding cutoff values. The cutoff values are 25.44 mm (sensitivity/specificity = 100 %/62.2 %) for axial length and – 3.5 Diopter (sensitivity/specificity = 84.6 %/73.0 %) for refractive error. Although areas under the ROC (AUROC) for axial length (0.867, 95 % C.I 0.741–0.946) were higher than those for spherical equivalent (0.793, 95 % C.I 0.655–0.895), there was no statistical significance. Moreover, the values with specificity > 80 % were 26.04 mm for axial length and – 4.125 Diopters for refractive error. Fig. 2Receiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent Receiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent Percentage changes in measured area before and after the use of the CLs There was no significant difference between the CLs of different diopters (− 9 D, − 6 D, − 3 D, + 3 D, + 6 D, + 9 D) among the entire study group (Fig. 3 a). In subgroup analysis, the measured optic disc areas with the plus lenses (+ 3 D, + 6 D, + 9 D) were significantly higher than those with minus lenses in the moderate myopia group and Group C (Fig. 3b c). No adverse event associated to the application or removal of the CLs was observed. Fig. 3Changes in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c) Changes in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c) There was no significant difference between the CLs of different diopters (− 9 D, − 6 D, − 3 D, + 3 D, + 6 D, + 9 D) among the entire study group (Fig. 3 a). In subgroup analysis, the measured optic disc areas with the plus lenses (+ 3 D, + 6 D, + 9 D) were significantly higher than those with minus lenses in the moderate myopia group and Group C (Fig. 3b c). No adverse event associated to the application or removal of the CLs was observed. Fig. 3Changes in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c) Changes in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c) Baseline characteristics: A total of 50 eyes from 25 healthy subjects (13 male and 12 female) were included. The average age of the subjects was 25.0 ± 3.5 years; the average spherical equivalent and axial length were − 2.80 ± 1.61 D and 25.31 ± 1.07 mm, respectively. Other demographic information has been detailed in Table 1. Table 1Baseline characteristics of the study participantsVariablesStudy participants(50 eyes of 25 subjects)Age, years25.0 ± 3.5 (Range 20–33)Male/Female13/12IOP, mm Hg15.1 ± 2.0(Range 11–20)Axial Length, mm25.31 ± 1.07Avg. Keratometry (Diopters)42.63 ± 1.49 DSpherical Equivalent (Diopters)− 2.80 ± 1.61(Range, -0.125D ~ -5.375D)Values are presented as mean ± SD unless indicated otherwiseIOP intraocular pressure Baseline characteristics of the study participants 25.0 ± 3.5 (Range 20–33) 15.1 ± 2.0 (Range 11–20) − 2.80 ± 1.61 (Range, -0.125D ~ -5.375D) Values are presented as mean ± SD unless indicated otherwise IOP intraocular pressure Subgroup analysis according to axial length and magnification effect: The study population was composed of 6 eyes in Group A, 28 eyes in Group B, and 16 eyes in Group C. As depicted in Table 2, the corresponding mean axial lengths were 23.13, 25.20, and 26.33 mm, respectively (Kruskal Wallis test, P < 0.001; post-hoc analysis using the Mann-Whitney test, Group A vs. B, P < 0.001; Group B vs. C, P < 0.001; Group A vs. C, P < 0.001). Subgroup analysis showed there was a significant proportion of moderate myopia subjects in Group C (linear-by-linear association test, P < 0.001), which also contained a larger proportion of subjects who experienced magnification effects compared to Groups A and B (50.0 %, 0 %, and 17.9 %, respectively, linear-by-linear association test, P = 0.006). Moreover, the absolute value of the corresponding maximal difference was also statistically significant (Kruskal Wallis test, P = 0.029; post-hoc analysis using Mann-Whitney test, Group A vs. B, P = 0.928; Group B vs. C, P = 0.027; Group A vs. C, P = 0.016). Table 2Comparison of ocular parameters according to the axial lengthVariablesGroup A(AL 22–24 mm)N = 6 eyesGroup B(AL 24–26 mm)N = 28 eyesGroup C(AL > 26 mm)N = 16 eyesP-valueAge, years24.7 ± 3.425.9 ± 3.623.8 ± 3.40.159aIOP, mm Hg14.2 ± 1.314.9 ± 2.515.6 ± 1.00.298aAxial length, mm23.13 ± 0.6725.20 ± 0.5026.33 ± 0.23< 0.001aAverage Keratometry (D)43.89 ± 1.3942.79 ± 1.5441.88 ± 1.020.011aSpherical Equivalent (D)-1.06 ± 0.49-2.41 ± 1.54-4.13 ± 0.88< 0.001aProportion of Refractive Error< 0.001b Plano to – 3D (Mild)6 (100.0 %)18 (64.3 %)2 (12.5 %) − 3 D to – 6 D (Moderate)0 (0 %)10 (35.7 %)14 (87.5 %)Max. Difference (%)3.40 ± 4.162.65 ± 7.99.36 ± 10.370.029aProportion of Subjects Max. Difference > 10 %0/6 (0 %)5/28 (17.9 %)8/16 (50.0 %)0.006bValues are presented as mean ± SD unless indicated otherwiseaP value using the Kruskal Wallis testbP value using the linear-by linear association testAL axial length; IOP intraocular pressure Comparison of ocular parameters according to the axial length Values are presented as mean ± SD unless indicated otherwise aP value using the Kruskal Wallis test bP value using the linear-by linear association test AL axial length; IOP intraocular pressure The data presented in Table 3 indicate that the magnification group contained a larger proportion of patients with long axial lengths (≥ 26 mm, 61.5 % vs. 21.6 %, linear-by-linear association test, P = 0.006) and moderate myopia (-3 D to – 6 D, 35.2 % vs. 84.6 %, Fisher’s exact test, P = 0.003), as well as greater myopic refractive error (− 4.03 D vs. − 2.37 D, Mann-Whitney test, P = 0.001). Table 3Comparison of ocular parameters according to magnification effectsVariablesNo Magnification GroupN = 37 eyesMagnification Group(Max. Diff > 10 %)N = 13 eyesP-valueAge, years25.4 ± 3.323.9 ± 3.80.235aIOP, mm Hg15.2 ± 2.114.7 ± 1.70.381aAxial Length – 24 (mm)(Mean Axial length (mm))1.01 ± 1.05(25.01 ± 1.05)2.17 ± 0.45(26.17 ± 0.45)< 0.001aAxial Length (Proportion) 22–24 mm6 (16.2 %)0 (0 %)0.006b 24–26 mm23 (62.2 %)5 (38.5 %) 26 mm or above8 (21.6 %)8 (61.5 %)Avg. K value (D)42.87 ± 1.5141.94 ± 1.210.034aSpherical Equivalent− 2.37 ± 1.47− 4.03 ± 1.380.001aRefractive Error0.003c Plano to – 3D (Mild)24 (64.8 %)2 (15.4 %) − 3 D to – 6 D (Moderate)13 (35.2 %)11 (84.6 %)Values are presented as mean ± SD unless indicated otherwiseaP value using the Mann-Whitney testbP value using the linear-by linear association testcP value using the Fisher’s exact testIOP intraocular pressure Comparison of ocular parameters according to magnification effects Axial Length – 24 (mm) (Mean Axial length (mm)) 1.01 ± 1.05 (25.01 ± 1.05) 2.17 ± 0.45 (26.17 ± 0.45) Values are presented as mean ± SD unless indicated otherwise aP value using the Mann-Whitney test bP value using the linear-by linear association test cP value using the Fisher’s exact test IOP intraocular pressure Receiver operating curves (ROC) and area under the ROC (AUROC): Figure 2 depicts receiver operating curves for magnification effects with corresponding cutoff values. The cutoff values are 25.44 mm (sensitivity/specificity = 100 %/62.2 %) for axial length and – 3.5 Diopter (sensitivity/specificity = 84.6 %/73.0 %) for refractive error. Although areas under the ROC (AUROC) for axial length (0.867, 95 % C.I 0.741–0.946) were higher than those for spherical equivalent (0.793, 95 % C.I 0.655–0.895), there was no statistical significance. Moreover, the values with specificity > 80 % were 26.04 mm for axial length and – 4.125 Diopters for refractive error. Fig. 2Receiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent Receiver operating curves for magnification effects with cutoff values. a ROC curves for axial lengths, b ROC curves for refractive error (Spherical equivalent), c comparison of AUROCs (areas under ROC curves). d The areas under the ROC (AUROCs) and cut-off values have been provided. AL, axial length; AUROC, areas under the receiver operating curves; D, diopter; SE, spherical equivalent Percentage changes in measured area before and after the use of the CLs: There was no significant difference between the CLs of different diopters (− 9 D, − 6 D, − 3 D, + 3 D, + 6 D, + 9 D) among the entire study group (Fig. 3 a). In subgroup analysis, the measured optic disc areas with the plus lenses (+ 3 D, + 6 D, + 9 D) were significantly higher than those with minus lenses in the moderate myopia group and Group C (Fig. 3b c). No adverse event associated to the application or removal of the CLs was observed. Fig. 3Changes in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c) Changes in measured area with a soft contact lens compared to baseline area without a contact lens. a Changes in measured area with a soft contact lens compared to the measured baseline area without a contact lens in the entire population of the study. In a box-whisker plot, the boxes indicate 50 % of the values from the first to the third quartiles, and the median (green line). The upper and lower tips (blue line) represent values that are 1.5 times the interquartile range between the first and third quartiles. Comparison of percentage changes according to baseline refractive error (b), and axial lengths (c) Discussion: In the present study, measurement of area was unaffected by refractive power in the normal axial length group (A, 22–24 mm) and the mid-axial length group (B, 24–26 mm). On the contrary, the measurement of area in the long axial length group (C, 26 mm or above) was affected by changes in refractive power. To the best of our knowledge, no previous studies have examined the use of CL to compare area measures using UWF images. The use of CLs is capable of providing refractive error correction from either astigmatism or axial length without the use of a correction formula. In this specific population with AL ≥ 26 mm, the refractive correction achieved with a CL affected the area measurement with a statistical significance and an effect size measured in maximal difference of 9.36 ± 10.37 %. These findings are important to avoid misinterpretations or false interpretations of area measurements. Compared to measurements on UWF images using minus lenses, those using plus lenses were observed to be more affected in Group C, compared to Groups A and B. This phenomenon is likely to be related to the myopia, with the possible hypotheses; (1) deviation from the spherical retinal model, (2) ocular magnification and (3) overestimation by grader; also a combination of these effects is possible First, we primarily consider ocular magnification effects by CL alone. A plus CL is convex, which causes light convergence. This additional lens power further focuses the scan in front of the retina, and, in particular, a positive refractive defocus error causes the scan circle to shrink in the retinal plane and become smaller in terms of the usual scan size or degrees in diameter [16, 17]. These changes could lead to an overestimation of area measurement, whereas minus CLs may similarly lead to underestimation [11]. Second, myopic eyes are elongated and may deviate from the spherical model used to perform anatomically-correct measurements. The mean ICCs for grader 2, in particular, and between graders, were observed to be 0.942 and 0.927, respectively, suggesting good intra-grader and inter-grader reproducibility of these measurements; however, the possibility of over-estimation owing to image quality still remained [18]. With the influence of both the aforementioned effects on the estimation of the optic disc margin, ocular magnification effects are also prone to being exacerbated by the graders. These findings are supported by previous studies using OCT. In spectral domain OCT models, signal strength and scan reliability decreased in long axial lengths [19, 20]. Similarly, increase in axial length has been confirmed to lead to ocular magnification and an underestimation of the nerve fiber layer (NFL) in SD-OCT scans without the use of a correction formula for a refractive error of less than − 4 D [13, 21, 22]. However, even correction formulas including the Litmann formula or Bennett formula are known to not be able to guarantee an accurate assessment of the optic nerve head [12, 23]. These effects may increase with increasing axial length [24]. The limitations of our study are as follows. (1) A relatively small cohort and specific sample composed of young healthy adults. (2) No subjects with hyperopic eyes or short axial lengths < 22 mm were included in the study; these subject characteristics (volunteers) reflect demographics common in the young Korean population; the prevalence of myopia in 19-year-old males in Seoul was 96.5 %, and the prevalence of high myopia (less than − 6.0 D) was 21.6 % [25, 26]. For this reason, there is a limit to extrapolating our result to hyperopic eyes. Thus, further studies are needed to clarify the magnification effects in hyperopic eyes and other ethnicities. (3) We were unable to exclude the accommodation effect; CL-induced refractive changes might exceed physiologic accommodation. (4) Myopic eyes, which are often elongated, can deviate from a spherical shape assumed for quantification. Despite these limitations, our models have certain advantages. This is the first study to analyze the effect of refractive error on the area measured after correcting the peripheral distortion by the stereographic method. In addition, the use of CL could provide a refractive error correction for either astigmatism or axial length without the use of a correction formula, such as the Littmann or the Bennett formulae. Conclusions: To the best of our knowledge, this is the first study to investigate the effect of refractive error on area measurement in UWF images. Our study demonstrated that refractive errors might affect area measurement accuracy in subjects with long axial length. Although the majority of the subjects exhibited no definite magnification effects, it was concluded that careful correction or consideration is required for area measurement in eyes with long axial lengths.
Background: Ultra-widefiled (UWF) retinal images include significant distortion when they are projected onto a two-dimensional surface for viewing. Therefore, many clinical studies that require quantitative analysis of fundus images have used stereographic projection algorithm, three-dimensional fundus image was mapped to a two-dimensional stereographic plane by projecting all relevant pixels onto a plane through the equator of the eye. However, even with this impressive algorithm, refractive error itself might affect the size and quality of images theoretically. The purpose of this study is to investigate the effects of refractive power on retinal area measurements (quantification) using UWF retinal imaging (Optos California; Dunfermline, Scotland, UK). Methods: A prospective, interventional study comprised 50 healthy eyes. UWF images were acquired first without the use of a soft contact lens (CL) and then repeated with six CLs (+ 9D, +6D, +3D, -3D, -6D, and - 9D). Using stereographically projected UWF images, the optic disc was outlined by 15-17 points and quantified in metric units. We divided the subjects into three groups according to axial length: Groups A (22-24 mm), B (24-26 mm), and C (≥ 26 mm). The primary outcome was percentage change before and after use of the CLs. Secondary outcome was proportion of subjects with magnification effects, maximal changes > 10 %. Results: The study population was 6, 28, and 16 eyes in each group. Overall changes for the measured area were not significantly different in the whole study population. Group C had a larger proportion of magnification effects compared to Groups A and B (50.0 %, 0 %, and 3.6 %, P = 0.020). Measured area with plus lenses was significantly higher in Group C (P < 0.001). Conclusions: The use of CLs might affect quantification of eyes with long axial length when using UWF images. Ophthalmologists should consider refractive error when measuring area in long eyes.
Background: Advances in ultra-widefield (UWF) imaging technology have allowed noninvasive, single images of the peripheral retina [1, 2]. Regardless of this advantage, UWF images include significant distortion when they are projected onto a two-dimensional surface for viewing [1, 3, 4]. Thus, stereoscopic projection algorithms have been employed to correct image distortion [1, 2, 5, 6]. A three-dimensional object (fundus image) was mapped to a two-dimensional stereographic plane by projecting all relevant pixels onto a plane through the equator of the eye [1, 3]. As this stereographic projection preserves the shape of a sphere, it enables the correct measurement of area based on calculations made on the sphere [1]. Therefore, many clinical studies that require quantitative analysis of fundus images have used this technology [1, 4, 7–10]. Moreover, a stereographic projection algorithm using axial length information can produce accurate and precise measurements relative to an intraocular ground truth standard [1, 2, 6]. However, even with these impressive advancements, refractive error itself might affect the size and quality of images theoretically [11]. In routine clinical practice, UWF images are obtained in subjects without refractive error correction, although refractive errors are capable of causing image distortion and magnification effects. Further, several previous studies using optical coherence tomography (OCT) have indicated that refractive errors affect the analysis of retinal nerve fiber layer (RNFL) thickness, leading to lower values in myopic eyes compared to normal eyes due to the differences in axial lengths and the magnification effects [12, 13]. There are many controversies regarding the effects of refractive errors on measurement of the retina. Certain investigations using OCT report that contact lens diopter does not significantly affect measurement of RNFL [14, 15]. On the contrary, other reports have suggested that RNFL thickness decreases as refractive power becomes more negative [12]. To date, there are no studies regarding the effects of refractive error on area measurement using UWF. In this context, many studies using stereoscopic measurement have empirically employed inclusion criteria between + 3 Diopters to − 3 or − 6 Diopters. Therefore, the purpose of this study was 1) to investigate the effects of refractive error in contact lenses (CLs) on area measurement in UWF images in healthy subjects with myopia and (2) to compare the magnification effects according to axial lengths. Conclusions: To the best of our knowledge, this is the first study to investigate the effect of refractive error on area measurement in UWF images. Our study demonstrated that refractive errors might affect area measurement accuracy in subjects with long axial length. Although the majority of the subjects exhibited no definite magnification effects, it was concluded that careful correction or consideration is required for area measurement in eyes with long axial lengths.
Background: Ultra-widefiled (UWF) retinal images include significant distortion when they are projected onto a two-dimensional surface for viewing. Therefore, many clinical studies that require quantitative analysis of fundus images have used stereographic projection algorithm, three-dimensional fundus image was mapped to a two-dimensional stereographic plane by projecting all relevant pixels onto a plane through the equator of the eye. However, even with this impressive algorithm, refractive error itself might affect the size and quality of images theoretically. The purpose of this study is to investigate the effects of refractive power on retinal area measurements (quantification) using UWF retinal imaging (Optos California; Dunfermline, Scotland, UK). Methods: A prospective, interventional study comprised 50 healthy eyes. UWF images were acquired first without the use of a soft contact lens (CL) and then repeated with six CLs (+ 9D, +6D, +3D, -3D, -6D, and - 9D). Using stereographically projected UWF images, the optic disc was outlined by 15-17 points and quantified in metric units. We divided the subjects into three groups according to axial length: Groups A (22-24 mm), B (24-26 mm), and C (≥ 26 mm). The primary outcome was percentage change before and after use of the CLs. Secondary outcome was proportion of subjects with magnification effects, maximal changes > 10 %. Results: The study population was 6, 28, and 16 eyes in each group. Overall changes for the measured area were not significantly different in the whole study population. Group C had a larger proportion of magnification effects compared to Groups A and B (50.0 %, 0 %, and 3.6 %, P = 0.020). Measured area with plus lenses was significantly higher in Group C (P < 0.001). Conclusions: The use of CLs might affect quantification of eyes with long axial length when using UWF images. Ophthalmologists should consider refractive error when measuring area in long eyes.
10,694
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[ 469, 2299, 413, 563, 164, 203, 1024, 305, 373 ]
12
[ "axial", "area", "length", "group", "mm", "axial length", "values", "disc", "refractive", "test" ]
[ "measurement retina certain", "area measurement eyes", "equator eye stereographic", "retinal images projected", "peripheral distortion stereographic" ]
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[CONTENT] Area measurement | Axial length | Retina | Ultra‐widefield imaging | Quantification [SUMMARY]
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[CONTENT] Area measurement | Axial length | Retina | Ultra‐widefield imaging | Quantification [SUMMARY]
[CONTENT] Area measurement | Axial length | Retina | Ultra‐widefield imaging | Quantification [SUMMARY]
[CONTENT] Area measurement | Axial length | Retina | Ultra‐widefield imaging | Quantification [SUMMARY]
[CONTENT] Area measurement | Axial length | Retina | Ultra‐widefield imaging | Quantification [SUMMARY]
[CONTENT] Fundus Oculi | Humans | Imaging, Three-Dimensional | Prospective Studies | Retina | Scotland [SUMMARY]
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[CONTENT] Fundus Oculi | Humans | Imaging, Three-Dimensional | Prospective Studies | Retina | Scotland [SUMMARY]
[CONTENT] Fundus Oculi | Humans | Imaging, Three-Dimensional | Prospective Studies | Retina | Scotland [SUMMARY]
[CONTENT] Fundus Oculi | Humans | Imaging, Three-Dimensional | Prospective Studies | Retina | Scotland [SUMMARY]
[CONTENT] Fundus Oculi | Humans | Imaging, Three-Dimensional | Prospective Studies | Retina | Scotland [SUMMARY]
[CONTENT] measurement retina certain | area measurement eyes | equator eye stereographic | retinal images projected | peripheral distortion stereographic [SUMMARY]
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[CONTENT] measurement retina certain | area measurement eyes | equator eye stereographic | retinal images projected | peripheral distortion stereographic [SUMMARY]
[CONTENT] measurement retina certain | area measurement eyes | equator eye stereographic | retinal images projected | peripheral distortion stereographic [SUMMARY]
[CONTENT] measurement retina certain | area measurement eyes | equator eye stereographic | retinal images projected | peripheral distortion stereographic [SUMMARY]
[CONTENT] measurement retina certain | area measurement eyes | equator eye stereographic | retinal images projected | peripheral distortion stereographic [SUMMARY]
[CONTENT] axial | area | length | group | mm | axial length | values | disc | refractive | test [SUMMARY]
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[CONTENT] axial | area | length | group | mm | axial length | values | disc | refractive | test [SUMMARY]
[CONTENT] axial | area | length | group | mm | axial length | values | disc | refractive | test [SUMMARY]
[CONTENT] axial | area | length | group | mm | axial length | values | disc | refractive | test [SUMMARY]
[CONTENT] axial | area | length | group | mm | axial length | values | disc | refractive | test [SUMMARY]
[CONTENT] images | effects | measurement | refractive | dimensional | effects refractive | rnfl | uwf | studies | affect [SUMMARY]
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[CONTENT] curves | linear | test | value | group | vs | axial | mm | values | roc [SUMMARY]
[CONTENT] area measurement | measurement | area | long | long axial | study investigate effect | majority subjects | majority | required area measurement | measurement uwf images study [SUMMARY]
[CONTENT] area | axial | test | group | length | refractive | disc | axial length | mm | curves [SUMMARY]
[CONTENT] area | axial | test | group | length | refractive | disc | axial length | mm | curves [SUMMARY]
[CONTENT] two ||| three | two ||| ||| Optos California | Dunfermline | Scotland | UK [SUMMARY]
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[CONTENT] 6 | 28 | 16 ||| ||| Group C | Groups A | 50.0 % | 0 % | 3.6 % | 0.020 ||| Group C | 0.001 [SUMMARY]
[CONTENT] ||| [SUMMARY]
[CONTENT] two ||| three | two ||| ||| Optos California | Dunfermline | Scotland | UK ||| 50 ||| first | six | 9D ||| 15 ||| three ||| Groups A | 22-24 | 24-26 | ≥ | 26 mm ||| ||| 10 % ||| ||| 6 | 28 | 16 ||| ||| Group C | Groups A | 50.0 % | 0 % | 3.6 % | 0.020 ||| Group C | 0.001 ||| ||| [SUMMARY]
[CONTENT] two ||| three | two ||| ||| Optos California | Dunfermline | Scotland | UK ||| 50 ||| first | six | 9D ||| 15 ||| three ||| Groups A | 22-24 | 24-26 | ≥ | 26 mm ||| ||| 10 % ||| ||| 6 | 28 | 16 ||| ||| Group C | Groups A | 50.0 % | 0 % | 3.6 % | 0.020 ||| Group C | 0.001 ||| ||| [SUMMARY]
A nested cohort study of 6,248 early breast cancer patients treated in neoadjuvant and adjuvant chemotherapy trials investigating the prognostic value of chemotherapy-related toxicities.
26715442
The relationship between chemotherapy-related toxicities and prognosis is unclear. Previous studies have examined the association of myelosuppression parameters or neuropathy with survival and reported conflicting results. This study aims to investigate 13 common chemotherapy toxicities and their association with relapse-free survival and breast cancer-specific survival.
BACKGROUND
Chemotherapy-related toxicities were collected prospectively for 6,248 women with early-stage breast cancer from four randomised controlled trials (NEAT; BR9601; tAnGo; Neo-tAnGo). Cox proportional-hazards modelling was used to analyse the association between chemotherapy-related toxicities and both breast cancer-specific survival and relapse-free survival. Models included important prognostic factors and stratified by variables violating the proportional hazards assumption.
METHODS
Multivariable analysis identified severe neutropenia (grades ≥3) as an independent predictor of relapse-free survival (hazard ratio (HR) = 0.86; 95% confidence interval (CI), 0.76-0.97; P = 0.02). A similar trend was seen for breast cancer-specific survival (HR = 0.87; 95% CI, 0.75-1.01; P = 0.06). Normal/low BMI patients experienced more severe neutropenia (P = 0.008) than patients with higher BMI. Patients with fatigue (grades ≥3) showed a trend towards reduced survival (breast cancer-specific survival: HR = 1.17; 95% CI, 0.99-1.37; P = 0.06). In the NEAT/BR9601 sub-group analysis by treatment component, this effect was statistically significant (HR = 1.61; 95% CI, 1.13-2.30; P = 0.009).
RESULTS
This large study shows a significant association between chemotherapy-induced neutropenia and increased survival. It also identifies a strong relationship between low/normal BMI and increased incidence of severe neutropenia. It provides evidence to support the development of neutropenia-adapted clinical trials to investigate optimal dose calculation and its impact on clinical outcome. This is important in populations where obesity may lead to sub-optimal chemotherapy doses.
CONCLUSIONS
[ "Antineoplastic Agents", "Breast Neoplasms", "Case-Control Studies", "Chemotherapy, Adjuvant", "Cohort Studies", "Disease-Free Survival", "Female", "Humans", "Middle Aged", "Prognosis" ]
4693418
Background
Chemotherapy-related toxicities (CRTs) are a common complication of treatment in all cancers. For each CRT, multiple factors contribute to their development, including pharmacogenetic and co-morbidity factors [1]. The relationship between the occurrence of various CRTs and subsequent survival has been investigated in relatively small cohorts in multiple tumour types with conflicting results. A CRT may be a proxy pharmacokinetic parameter, indicating the level of drug exposure, dose density delivered and/or metabolic activity, or it may be a proxy pharmacodynamic parameter that reflects the sensitivity and susceptibility of different tissues to chemotherapy. Many studies in different tumour types have investigated the association between survival and measures of myelosuppression. Eskander et al. [2] reviewed seven breast cancer studies with inter-study heterogeneity in trial design and varying toxicities, including leukocyte nadir, myelosuppression and neutropenia. The largest study [3] (n = 750), showed that patients with grade 2 or 3 neutropenia, on the National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) scale, had a 10 % absolute survival advantage at 5 years compared to those with no neutropenia (multivariable P = 0.037). Shitara et al. [4] performed a meta-analysis of 13 trials (n = 9,528) considering several different toxicities, varying tumour types, stages of disease, and thresholds of NCI CTCAE classification and concluded that neutropenia or leukopenia experienced during chemotherapy was associated with improved survival. The association between survival and taxane-related sensory neuropathy in breast cancer patients has been explored previously. Schneider et al. [5] investigated 4,554 patients from a randomised controlled clinical trial and found no significant relationship between neuropathy and disease-free survival (DFS), overall survival, or relapse-free survival (RFS). However, Moreno-Aspitia et al. [6] did report an association of taxane-related sensory neuropathy with DFS in early stage, taxane-treated, human epidermal growth factor (HER2)-positive breast cancer patients. In ovarian cancer, Lee et al. [7] found that sensory neuropathy secondary to treatment with paclitaxel and carboplatin was associated with improved progression-free survival (n = 949). Moderate and/or severe oral mucositis was associated with improved survival in one study [8] (n = 533). Another study associated oral mucositis with an increased risk of infection and an adverse impact on survival [9]. Although there is considerable data on the impact of fatigue on quality of life [10, 11] in early stage breast cancer, there is no published evidence on the prognostic significance of chemotherapy-induced fatigue in early stage disease. We have investigated the association between 13 common CRTs and RFS and breast cancer-specific survival (BCSS) in patients (n = 6,248) with early stage breast cancer using data from randomised controlled trials with prospective protocol-driven collection of CRTs.
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Results
Analysis of maximum CRT across all chemotherapy treatments The base Cox model included trial, performance status (PS) and nodal status, and was stratified by tumour size, tumour grade and estrogen receptor (ER) status. Neutropenia, fatigue, anaemia, combined haematological toxicity and constipation were nominally significant (P <0.1) for either BCSS or RFS (or both) on univariable analysis (Table 2). All other CRTs were not found to be associated with either RFS or BCSS. After adjustment for other prognostic factors in the model, only neutropenia was significant. Fatigue was not statistically significant after adjustment (BCSS; HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06).Table 2Analysis of maximum CRT across all treatmentsToxicityn (Univariable analysis)n (Multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueNeutropeniaa 588652110.85 (0.74–0.98)0.020.87 (0.75–1.01)0.060.85 (0.76–0.95)0.0040.86 (0.76–0.97)0.02Nausea624854681.11 (0.93–1.33)0.251.09 (0.90–1.33)0.371.07 (0.91–1.25)0.421.06 (0.90–1.26)0.47Vomiting624854680.98 (0.80–1.19)0.801.03 (0.84–1.28)0.761.00 (0.85–1.18)>0.991.05 (0.88–1.26)0.57Stomatitis624854681.20 (0.89–1.63)0.241.25 (0.90–1.74)0.191.09 (0.83–1.43)0.541.12 (0.83–1.50)0.46Constipation588652110.91 (0.80–1.04)0.170.95 (0.82–1.09)0.450.91 (0.82–1.01)0.090.94 (0.83–1.05)0.27Diarrhoea624854680.93 (0.68–1.26)0.640.98 (0.70–1.38)0.931.08 (0.85–1.37)0.541.19 (0.92–1.55)0.18Infection624854681.09 (0.97–1.22)0.141.01 (0.90–1.15)0.821.06 (0.96–1.16)0.261.01 (0.91–1.12)0.88Fatigue624854681.24 (1.07–1.43)0.0041.17 (0.99–1.37)0.061.17 (1.03–1.32)0.011.13 (0.99–1.30)0.08Anaemia394335821.18 (0.97–1.42)0.091.14 (0.93–1.39)0.211.11 (0.95–1.30)0.201.08 (0.91–1.28)0.36Combined haematological394335820.89 (0.77–1.03)0.110.88 (0.76–1.03)0.120.88 (0.78–0.99)0.030.88 (0.78–1.00)0.06Neurotoxicity394335820.96 (0.82–1.13)0.640.99 (0.84–1.17)0.900.98 (0.86–1.12)0.780.99 (0.87–1.14)0.94Myalgia394335820.95 (0.82–1.09)0.431.03 (0.89–1.20)0.690.95 (0.84–1.06)0.341.02 (0.91–1.16)0.70Fever394335820.98 (0.67–1.44)0.910.84 (0.57–1.26)0.411.08 (0.80–1.46)0.630.98 (0.71–1.34)0.88 BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval aCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3 Analysis of maximum CRT across all treatments BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval aCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3 Neutropenia Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36). Underweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival. Older patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively). The extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown. As previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07 BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0) BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36). Underweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival. Older patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively). The extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown. As previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07 BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0) BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Fatigue Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08). Fatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance. Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08). Fatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance. The base Cox model included trial, performance status (PS) and nodal status, and was stratified by tumour size, tumour grade and estrogen receptor (ER) status. Neutropenia, fatigue, anaemia, combined haematological toxicity and constipation were nominally significant (P <0.1) for either BCSS or RFS (or both) on univariable analysis (Table 2). All other CRTs were not found to be associated with either RFS or BCSS. After adjustment for other prognostic factors in the model, only neutropenia was significant. Fatigue was not statistically significant after adjustment (BCSS; HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06).Table 2Analysis of maximum CRT across all treatmentsToxicityn (Univariable analysis)n (Multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueNeutropeniaa 588652110.85 (0.74–0.98)0.020.87 (0.75–1.01)0.060.85 (0.76–0.95)0.0040.86 (0.76–0.97)0.02Nausea624854681.11 (0.93–1.33)0.251.09 (0.90–1.33)0.371.07 (0.91–1.25)0.421.06 (0.90–1.26)0.47Vomiting624854680.98 (0.80–1.19)0.801.03 (0.84–1.28)0.761.00 (0.85–1.18)>0.991.05 (0.88–1.26)0.57Stomatitis624854681.20 (0.89–1.63)0.241.25 (0.90–1.74)0.191.09 (0.83–1.43)0.541.12 (0.83–1.50)0.46Constipation588652110.91 (0.80–1.04)0.170.95 (0.82–1.09)0.450.91 (0.82–1.01)0.090.94 (0.83–1.05)0.27Diarrhoea624854680.93 (0.68–1.26)0.640.98 (0.70–1.38)0.931.08 (0.85–1.37)0.541.19 (0.92–1.55)0.18Infection624854681.09 (0.97–1.22)0.141.01 (0.90–1.15)0.821.06 (0.96–1.16)0.261.01 (0.91–1.12)0.88Fatigue624854681.24 (1.07–1.43)0.0041.17 (0.99–1.37)0.061.17 (1.03–1.32)0.011.13 (0.99–1.30)0.08Anaemia394335821.18 (0.97–1.42)0.091.14 (0.93–1.39)0.211.11 (0.95–1.30)0.201.08 (0.91–1.28)0.36Combined haematological394335820.89 (0.77–1.03)0.110.88 (0.76–1.03)0.120.88 (0.78–0.99)0.030.88 (0.78–1.00)0.06Neurotoxicity394335820.96 (0.82–1.13)0.640.99 (0.84–1.17)0.900.98 (0.86–1.12)0.780.99 (0.87–1.14)0.94Myalgia394335820.95 (0.82–1.09)0.431.03 (0.89–1.20)0.690.95 (0.84–1.06)0.341.02 (0.91–1.16)0.70Fever394335820.98 (0.67–1.44)0.910.84 (0.57–1.26)0.411.08 (0.80–1.46)0.630.98 (0.71–1.34)0.88 BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval aCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3 Analysis of maximum CRT across all treatments BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval aCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3 Neutropenia Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36). Underweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival. Older patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively). The extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown. As previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07 BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0) BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36). Underweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival. Older patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively). The extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown. As previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07 BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0) BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Fatigue Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08). Fatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance. Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08). Fatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance. CRTs of interest during specific chemotherapy regimen components In order to identify if CRTs reported during particular combination chemotherapy treatments were associated with increased or decreased RFS and BCSS, the analysis was repeated considering only the maximum NCI CTCAE grade documented during a specific chemotherapy regimen, rather the maximum NCI CTCAE grade across all chemotherapy treatments (Additional file 1: Table S4). Neutropenia Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99). Neutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively). Furthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens. Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99). Neutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively). Furthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens. Fatigue Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7). Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7). In order to identify if CRTs reported during particular combination chemotherapy treatments were associated with increased or decreased RFS and BCSS, the analysis was repeated considering only the maximum NCI CTCAE grade documented during a specific chemotherapy regimen, rather the maximum NCI CTCAE grade across all chemotherapy treatments (Additional file 1: Table S4). Neutropenia Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99). Neutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively). Furthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens. Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99). Neutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively). Furthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens. Fatigue Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7). Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7).
Conclusions
This large and comprehensive study has shown a statistically significant association between improved survival and neutropenia (using toxicity classification NCI CTCAE ≥1 or ≥3). This association is clinically relevant and has the potential to be further tested in neutropenia-adapted treatment regimens within clinical trials to assess its potential to improve clinical outcome. This study shows that patients with normal or reduced BMI experience greater rates of neutropenia in comparison to overweight and obese patients. This is particularly relevant in populations where increasing levels of obesity may mean that a significant proportion of breast cancer patients are receiving sub-optimal chemotherapy doses. This study also indicates that chemotherapy-induced fatigue may be an indicator of poor clinical outcome. Patients’ pre-treatment performance status needs to be adequately assessed and levels of treatment-induced fatigue need to be carefully monitored and moderated.
[ "Methods", "Patients and clinical trials", "Phenotypes", "Ethics, consent and permissions", "Statistical analysis", "Analysis of maximum CRT across all chemotherapy treatments", "Neutropenia", "Fatigue", "CRTs of interest during specific chemotherapy regimen components", "Neutropenia", "Fatigue" ]
[ " Patients and clinical trials Clinical data was collected from the UK randomised clinical trials NEAT (n = 2027) [12], BR9601 (n = 374) [12], tAnGo (n = 3152) [13], and Neo-tAnGo (n = 831) [14], creating a nested cohort of 6,248 patients, from a total of 6,384 patients, included in this study after providing adequate quality toxicity data. Additional file 1: Figure S1a,b summarises the individual clinical trials included and their trial objectives. Table 1 summarises patient characteristics of the 6,248 patients, with Additional file 1: Table S1 showing patient characteristics by each trial. Median follow-up was 6.2 years, with 1,335 (21 %) breast cancer-related events, 148 (2 %) non-breast cancer-related deaths, and 4,765 (77 %) live patients. For the analysis of RFS, there were 1,888 events (30 %) recorded and 4,360 (70 %) censored observations. Written informed consent was obtained from each patient recruited into the trials. All the trials involved received full ethical approval from a UK ethical review board and completed all other regulatory requirements prior to commencement.Table 1Summary of patient characteristics for the study cohortStudy cohortn%Randomised treatment E-CMF115619 CMF114919 EC-T177328 EC-TG176928 T-EC2003 TG-EC2013Age, years ≤ 50360658 > 50264242ER status Negative255141 Positive359157 Missing1062pGR status Negative246339 Positive265243 Missing113318HER2 status Negative376060 Positive103417 Missing145423Nodal status Negative136622 1–3 positive238338 Clinically negative, neoadjuvant4097 Clinically positive, neoadjuvant4036 4+ positive168727Breast cancer-specific survival Breast cancer related deaths133521 Deaths due to other cause1482 Alive476577Relapse-free survival Events188830 Censored436070Triple negative status No (ER+ and HER2–)232137 Yes (ER–, PGR– or unknown, and HER2–)124220 Missing268543ECOG performance status 0523284 ≥ 168311 Missing3335Tumour size, mm 0–20219535 21–50337554 > 504758 Missing2033Tumour grade 11462 2220635 3365459 Missing2424Menopausal status Pre/peri348056 Post220035 Missing5689BMI Underweight (<18.5)691 Healthy weight (18.5 to <25)250340 Overweight (25 to <30)208833 Obese (≥30)146924\nER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine\nSummary of patient characteristics for the study cohort\n\nER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine\nClinical data was collected from the UK randomised clinical trials NEAT (n = 2027) [12], BR9601 (n = 374) [12], tAnGo (n = 3152) [13], and Neo-tAnGo (n = 831) [14], creating a nested cohort of 6,248 patients, from a total of 6,384 patients, included in this study after providing adequate quality toxicity data. Additional file 1: Figure S1a,b summarises the individual clinical trials included and their trial objectives. Table 1 summarises patient characteristics of the 6,248 patients, with Additional file 1: Table S1 showing patient characteristics by each trial. Median follow-up was 6.2 years, with 1,335 (21 %) breast cancer-related events, 148 (2 %) non-breast cancer-related deaths, and 4,765 (77 %) live patients. For the analysis of RFS, there were 1,888 events (30 %) recorded and 4,360 (70 %) censored observations. Written informed consent was obtained from each patient recruited into the trials. All the trials involved received full ethical approval from a UK ethical review board and completed all other regulatory requirements prior to commencement.Table 1Summary of patient characteristics for the study cohortStudy cohortn%Randomised treatment E-CMF115619 CMF114919 EC-T177328 EC-TG176928 T-EC2003 TG-EC2013Age, years ≤ 50360658 > 50264242ER status Negative255141 Positive359157 Missing1062pGR status Negative246339 Positive265243 Missing113318HER2 status Negative376060 Positive103417 Missing145423Nodal status Negative136622 1–3 positive238338 Clinically negative, neoadjuvant4097 Clinically positive, neoadjuvant4036 4+ positive168727Breast cancer-specific survival Breast cancer related deaths133521 Deaths due to other cause1482 Alive476577Relapse-free survival Events188830 Censored436070Triple negative status No (ER+ and HER2–)232137 Yes (ER–, PGR– or unknown, and HER2–)124220 Missing268543ECOG performance status 0523284 ≥ 168311 Missing3335Tumour size, mm 0–20219535 21–50337554 > 504758 Missing2033Tumour grade 11462 2220635 3365459 Missing2424Menopausal status Pre/peri348056 Post220035 Missing5689BMI Underweight (<18.5)691 Healthy weight (18.5 to <25)250340 Overweight (25 to <30)208833 Obese (≥30)146924\nER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine\nSummary of patient characteristics for the study cohort\n\nER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine\n Phenotypes In all trials, CRTs were evaluated during each chemotherapy cycle for each patient. CRTs were graded using NCI CTCAE (version 2 or 3; Table S2 in Additional file 1) by the investigators at the participating centres and data collected centrally via case report forms. For each of the 13 CRTs of interest (Fig. 1 - Consort diagram for chemotherapy-related toxicity analyses), patients were categorised into a case or control based on their maximum reported grade of the CRT throughout their chemotherapy treatment (Table S3, Additional file 1). All trials required pre-treatment blood count assessment prior to administration of each cycle and neutropenia was classified from immediate pre-chemotherapy blood tests. Blood draw was avoided during the expected white blood cell nadir period.Fig. 1Consort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype\nConsort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype\nIn all trials, CRTs were evaluated during each chemotherapy cycle for each patient. CRTs were graded using NCI CTCAE (version 2 or 3; Table S2 in Additional file 1) by the investigators at the participating centres and data collected centrally via case report forms. For each of the 13 CRTs of interest (Fig. 1 - Consort diagram for chemotherapy-related toxicity analyses), patients were categorised into a case or control based on their maximum reported grade of the CRT throughout their chemotherapy treatment (Table S3, Additional file 1). All trials required pre-treatment blood count assessment prior to administration of each cycle and neutropenia was classified from immediate pre-chemotherapy blood tests. Blood draw was avoided during the expected white blood cell nadir period.Fig. 1Consort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype\nConsort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype\n Ethics, consent and permissions Ethical approval was obtained for tAnGo (West Midlands: 00/7/44), Neo-tAnGo (South East: 04/MRE01/60), NEAT/BR9601 (West Midlands: 30/04/1996) and PGSNPS (Cambridgeshire: 05Q0108/71).\nAll patients gave their consent to participate in the trials.\nEthical approval was obtained for tAnGo (West Midlands: 00/7/44), Neo-tAnGo (South East: 04/MRE01/60), NEAT/BR9601 (West Midlands: 30/04/1996) and PGSNPS (Cambridgeshire: 05Q0108/71).\nAll patients gave their consent to participate in the trials.\n Statistical analysis To investigate the association between CRTs and outcomes, BCSS time was calculated from date of treatment cessation to date of death due to breast cancer, or to date of death due to other causes, or date of censoring in women still alive. RFS time was calculated from date of treatment cessation to either the date of first relapse or date of death in women dying without relapse, or to date of censoring for those alive and relapse free.\nCox proportional-hazards modelling was used to investigate the association between CRTs experienced (categorised as shown in Additional file 1: Table S3) and BCSS and RFS. A base Cox model was created by testing the association of important prognostic factors with BCSS and RFS. Any factors which were significant at P <0.05 in univariable analysis were entered into a multivariable Cox model and factors remaining significant on adjustment in the multivariable model were retained for the base Cox model. The proportional hazards assumption was checked using the Schoenfeld residuals method [15]. Subsequent models were stratified by variables that violated the proportional hazards assumption. All CRTs significant in a univariable Cox model at the P <0.1 level were entered into the multivariable base Cox model to assess their association with BCSS and RFS. Associations between CRTs and BCSS or RFS were deemed statistically significant if the P value was <0.05.\nAny CRT showing a relationship with outcome at this stage was further investigated. To determine if the relationship found was independent of dose intensity (DI) (sub-optimal DI (<85 %) versus optimal DI (>85 %)) [16], the analysis was re-run adjusting for DI. Due to the known relationship between increasing BMI and poor prognosis [17, 18], we similarly assessed if adjusting for BMI affected the relationship between the CRT and RFS/BCSS. Additionally, CRT relationships with known prognostic factors were assessed using χ2 tests with continuity corrections.\nAfter performing this analysis on all 6,248 patients, seven different components of the treatment regimens received by the group of patients were investigated (Table S4 in Additional file 1), including (1) epirubicin (E); (2) cyclophosphamide, methotrexate and 5-fluorouracil (CMF) after having received E; (3) CMF as the sole treatment regimen; (4) EC as a primary component; (5) paclitaxel (T) and/or gemcitabine (G) after receiving EC; (6) T and/or G as a primary component; and (7) EC after having received T and/or G). Case-control re-classification for each of the CRTs of interest was undertaken focusing purely on the patients’ maximum reported grade during the different components of their particular treatment regimen. Association with increased or decreased RFS and BCSS was assessed.\nTo investigate the association between CRTs and outcomes, BCSS time was calculated from date of treatment cessation to date of death due to breast cancer, or to date of death due to other causes, or date of censoring in women still alive. RFS time was calculated from date of treatment cessation to either the date of first relapse or date of death in women dying without relapse, or to date of censoring for those alive and relapse free.\nCox proportional-hazards modelling was used to investigate the association between CRTs experienced (categorised as shown in Additional file 1: Table S3) and BCSS and RFS. A base Cox model was created by testing the association of important prognostic factors with BCSS and RFS. Any factors which were significant at P <0.05 in univariable analysis were entered into a multivariable Cox model and factors remaining significant on adjustment in the multivariable model were retained for the base Cox model. The proportional hazards assumption was checked using the Schoenfeld residuals method [15]. Subsequent models were stratified by variables that violated the proportional hazards assumption. All CRTs significant in a univariable Cox model at the P <0.1 level were entered into the multivariable base Cox model to assess their association with BCSS and RFS. Associations between CRTs and BCSS or RFS were deemed statistically significant if the P value was <0.05.\nAny CRT showing a relationship with outcome at this stage was further investigated. To determine if the relationship found was independent of dose intensity (DI) (sub-optimal DI (<85 %) versus optimal DI (>85 %)) [16], the analysis was re-run adjusting for DI. Due to the known relationship between increasing BMI and poor prognosis [17, 18], we similarly assessed if adjusting for BMI affected the relationship between the CRT and RFS/BCSS. Additionally, CRT relationships with known prognostic factors were assessed using χ2 tests with continuity corrections.\nAfter performing this analysis on all 6,248 patients, seven different components of the treatment regimens received by the group of patients were investigated (Table S4 in Additional file 1), including (1) epirubicin (E); (2) cyclophosphamide, methotrexate and 5-fluorouracil (CMF) after having received E; (3) CMF as the sole treatment regimen; (4) EC as a primary component; (5) paclitaxel (T) and/or gemcitabine (G) after receiving EC; (6) T and/or G as a primary component; and (7) EC after having received T and/or G). Case-control re-classification for each of the CRTs of interest was undertaken focusing purely on the patients’ maximum reported grade during the different components of their particular treatment regimen. Association with increased or decreased RFS and BCSS was assessed.", "Clinical data was collected from the UK randomised clinical trials NEAT (n = 2027) [12], BR9601 (n = 374) [12], tAnGo (n = 3152) [13], and Neo-tAnGo (n = 831) [14], creating a nested cohort of 6,248 patients, from a total of 6,384 patients, included in this study after providing adequate quality toxicity data. Additional file 1: Figure S1a,b summarises the individual clinical trials included and their trial objectives. Table 1 summarises patient characteristics of the 6,248 patients, with Additional file 1: Table S1 showing patient characteristics by each trial. Median follow-up was 6.2 years, with 1,335 (21 %) breast cancer-related events, 148 (2 %) non-breast cancer-related deaths, and 4,765 (77 %) live patients. For the analysis of RFS, there were 1,888 events (30 %) recorded and 4,360 (70 %) censored observations. Written informed consent was obtained from each patient recruited into the trials. All the trials involved received full ethical approval from a UK ethical review board and completed all other regulatory requirements prior to commencement.Table 1Summary of patient characteristics for the study cohortStudy cohortn%Randomised treatment E-CMF115619 CMF114919 EC-T177328 EC-TG176928 T-EC2003 TG-EC2013Age, years ≤ 50360658 > 50264242ER status Negative255141 Positive359157 Missing1062pGR status Negative246339 Positive265243 Missing113318HER2 status Negative376060 Positive103417 Missing145423Nodal status Negative136622 1–3 positive238338 Clinically negative, neoadjuvant4097 Clinically positive, neoadjuvant4036 4+ positive168727Breast cancer-specific survival Breast cancer related deaths133521 Deaths due to other cause1482 Alive476577Relapse-free survival Events188830 Censored436070Triple negative status No (ER+ and HER2–)232137 Yes (ER–, PGR– or unknown, and HER2–)124220 Missing268543ECOG performance status 0523284 ≥ 168311 Missing3335Tumour size, mm 0–20219535 21–50337554 > 504758 Missing2033Tumour grade 11462 2220635 3365459 Missing2424Menopausal status Pre/peri348056 Post220035 Missing5689BMI Underweight (<18.5)691 Healthy weight (18.5 to <25)250340 Overweight (25 to <30)208833 Obese (≥30)146924\nER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine\nSummary of patient characteristics for the study cohort\n\nER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine", "In all trials, CRTs were evaluated during each chemotherapy cycle for each patient. CRTs were graded using NCI CTCAE (version 2 or 3; Table S2 in Additional file 1) by the investigators at the participating centres and data collected centrally via case report forms. For each of the 13 CRTs of interest (Fig. 1 - Consort diagram for chemotherapy-related toxicity analyses), patients were categorised into a case or control based on their maximum reported grade of the CRT throughout their chemotherapy treatment (Table S3, Additional file 1). All trials required pre-treatment blood count assessment prior to administration of each cycle and neutropenia was classified from immediate pre-chemotherapy blood tests. Blood draw was avoided during the expected white blood cell nadir period.Fig. 1Consort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype\nConsort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype", "Ethical approval was obtained for tAnGo (West Midlands: 00/7/44), Neo-tAnGo (South East: 04/MRE01/60), NEAT/BR9601 (West Midlands: 30/04/1996) and PGSNPS (Cambridgeshire: 05Q0108/71).\nAll patients gave their consent to participate in the trials.", "To investigate the association between CRTs and outcomes, BCSS time was calculated from date of treatment cessation to date of death due to breast cancer, or to date of death due to other causes, or date of censoring in women still alive. RFS time was calculated from date of treatment cessation to either the date of first relapse or date of death in women dying without relapse, or to date of censoring for those alive and relapse free.\nCox proportional-hazards modelling was used to investigate the association between CRTs experienced (categorised as shown in Additional file 1: Table S3) and BCSS and RFS. A base Cox model was created by testing the association of important prognostic factors with BCSS and RFS. Any factors which were significant at P <0.05 in univariable analysis were entered into a multivariable Cox model and factors remaining significant on adjustment in the multivariable model were retained for the base Cox model. The proportional hazards assumption was checked using the Schoenfeld residuals method [15]. Subsequent models were stratified by variables that violated the proportional hazards assumption. All CRTs significant in a univariable Cox model at the P <0.1 level were entered into the multivariable base Cox model to assess their association with BCSS and RFS. Associations between CRTs and BCSS or RFS were deemed statistically significant if the P value was <0.05.\nAny CRT showing a relationship with outcome at this stage was further investigated. To determine if the relationship found was independent of dose intensity (DI) (sub-optimal DI (<85 %) versus optimal DI (>85 %)) [16], the analysis was re-run adjusting for DI. Due to the known relationship between increasing BMI and poor prognosis [17, 18], we similarly assessed if adjusting for BMI affected the relationship between the CRT and RFS/BCSS. Additionally, CRT relationships with known prognostic factors were assessed using χ2 tests with continuity corrections.\nAfter performing this analysis on all 6,248 patients, seven different components of the treatment regimens received by the group of patients were investigated (Table S4 in Additional file 1), including (1) epirubicin (E); (2) cyclophosphamide, methotrexate and 5-fluorouracil (CMF) after having received E; (3) CMF as the sole treatment regimen; (4) EC as a primary component; (5) paclitaxel (T) and/or gemcitabine (G) after receiving EC; (6) T and/or G as a primary component; and (7) EC after having received T and/or G). Case-control re-classification for each of the CRTs of interest was undertaken focusing purely on the patients’ maximum reported grade during the different components of their particular treatment regimen. Association with increased or decreased RFS and BCSS was assessed.", "The base Cox model included trial, performance status (PS) and nodal status, and was stratified by tumour size, tumour grade and estrogen receptor (ER) status. Neutropenia, fatigue, anaemia, combined haematological toxicity and constipation were nominally significant (P <0.1) for either BCSS or RFS (or both) on univariable analysis (Table 2). All other CRTs were not found to be associated with either RFS or BCSS. After adjustment for other prognostic factors in the model, only neutropenia was significant. Fatigue was not statistically significant after adjustment (BCSS; HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06).Table 2Analysis of maximum CRT across all treatmentsToxicityn (Univariable analysis)n (Multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueNeutropeniaa\n588652110.85 (0.74–0.98)0.020.87 (0.75–1.01)0.060.85 (0.76–0.95)0.0040.86 (0.76–0.97)0.02Nausea624854681.11 (0.93–1.33)0.251.09 (0.90–1.33)0.371.07 (0.91–1.25)0.421.06 (0.90–1.26)0.47Vomiting624854680.98 (0.80–1.19)0.801.03 (0.84–1.28)0.761.00 (0.85–1.18)>0.991.05 (0.88–1.26)0.57Stomatitis624854681.20 (0.89–1.63)0.241.25 (0.90–1.74)0.191.09 (0.83–1.43)0.541.12 (0.83–1.50)0.46Constipation588652110.91 (0.80–1.04)0.170.95 (0.82–1.09)0.450.91 (0.82–1.01)0.090.94 (0.83–1.05)0.27Diarrhoea624854680.93 (0.68–1.26)0.640.98 (0.70–1.38)0.931.08 (0.85–1.37)0.541.19 (0.92–1.55)0.18Infection624854681.09 (0.97–1.22)0.141.01 (0.90–1.15)0.821.06 (0.96–1.16)0.261.01 (0.91–1.12)0.88Fatigue624854681.24 (1.07–1.43)0.0041.17 (0.99–1.37)0.061.17 (1.03–1.32)0.011.13 (0.99–1.30)0.08Anaemia394335821.18 (0.97–1.42)0.091.14 (0.93–1.39)0.211.11 (0.95–1.30)0.201.08 (0.91–1.28)0.36Combined haematological394335820.89 (0.77–1.03)0.110.88 (0.76–1.03)0.120.88 (0.78–0.99)0.030.88 (0.78–1.00)0.06Neurotoxicity394335820.96 (0.82–1.13)0.640.99 (0.84–1.17)0.900.98 (0.86–1.12)0.780.99 (0.87–1.14)0.94Myalgia394335820.95 (0.82–1.09)0.431.03 (0.89–1.20)0.690.95 (0.84–1.06)0.341.02 (0.91–1.16)0.70Fever394335820.98 (0.67–1.44)0.910.84 (0.57–1.26)0.411.08 (0.80–1.46)0.630.98 (0.71–1.34)0.88\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval\naCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3\nAnalysis of maximum CRT across all treatments\n\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval\n\naCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3\n Neutropenia Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36).\nUnderweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival.\nOlder patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively).\nThe extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown.\nAs previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\nAnalysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)\n\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\nNeutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36).\nUnderweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival.\nOlder patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively).\nThe extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown.\nAs previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\nAnalysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)\n\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\n Fatigue Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08).\nFatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance.\nFatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08).\nFatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance.", "Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36).\nUnderweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival.\nOlder patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively).\nThe extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown.\nAs previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\nAnalysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)\n\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval", "Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08).\nFatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance.", "In order to identify if CRTs reported during particular combination chemotherapy treatments were associated with increased or decreased RFS and BCSS, the analysis was repeated considering only the maximum NCI CTCAE grade documented during a specific chemotherapy regimen, rather the maximum NCI CTCAE grade across all chemotherapy treatments (Additional file 1: Table S4).\n Neutropenia Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99).\nNeutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively).\nFurthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens.\nPatients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99).\nNeutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively).\nFurthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens.\n Fatigue Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7).\nPatients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7).", "Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99).\nNeutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively).\nFurthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens.", "Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7)." ]
[ "materials|methods", null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Patients and clinical trials", "Phenotypes", "Ethics, consent and permissions", "Statistical analysis", "Results", "Analysis of maximum CRT across all chemotherapy treatments", "Neutropenia", "Fatigue", "CRTs of interest during specific chemotherapy regimen components", "Neutropenia", "Fatigue", "Discussion", "Conclusions", "Availability of data and materials" ]
[ "Chemotherapy-related toxicities (CRTs) are a common complication of treatment in all cancers. For each CRT, multiple factors contribute to their development, including pharmacogenetic and co-morbidity factors [1]. The relationship between the occurrence of various CRTs and subsequent survival has been investigated in relatively small cohorts in multiple tumour types with conflicting results. A CRT may be a proxy pharmacokinetic parameter, indicating the level of drug exposure, dose density delivered and/or metabolic activity, or it may be a proxy pharmacodynamic parameter that reflects the sensitivity and susceptibility of different tissues to chemotherapy.\nMany studies in different tumour types have investigated the association between survival and measures of myelosuppression. Eskander et al. [2] reviewed seven breast cancer studies with inter-study heterogeneity in trial design and varying toxicities, including leukocyte nadir, myelosuppression and neutropenia. The largest study [3] (n = 750), showed that patients with grade 2 or 3 neutropenia, on the National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) scale, had a 10 % absolute survival advantage at 5 years compared to those with no neutropenia (multivariable P = 0.037). Shitara et al. [4] performed a meta-analysis of 13 trials (n = 9,528) considering several different toxicities, varying tumour types, stages of disease, and thresholds of NCI CTCAE classification and concluded that neutropenia or leukopenia experienced during chemotherapy was associated with improved survival.\nThe association between survival and taxane-related sensory neuropathy in breast cancer patients has been explored previously. Schneider et al. [5] investigated 4,554 patients from a randomised controlled clinical trial and found no significant relationship between neuropathy and disease-free survival (DFS), overall survival, or relapse-free survival (RFS). However, Moreno-Aspitia et al. [6] did report an association of taxane-related sensory neuropathy with DFS in early stage, taxane-treated, human epidermal growth factor (HER2)-positive breast cancer patients. In ovarian cancer, Lee et al. [7] found that sensory neuropathy secondary to treatment with paclitaxel and carboplatin was associated with improved progression-free survival (n = 949).\nModerate and/or severe oral mucositis was associated with improved survival in one study [8] (n = 533). Another study associated oral mucositis with an increased risk of infection and an adverse impact on survival [9].\nAlthough there is considerable data on the impact of fatigue on quality of life [10, 11] in early stage breast cancer, there is no published evidence on the prognostic significance of chemotherapy-induced fatigue in early stage disease.\nWe have investigated the association between 13 common CRTs and RFS and breast cancer-specific survival (BCSS) in patients (n = 6,248) with early stage breast cancer using data from randomised controlled trials with prospective protocol-driven collection of CRTs.", " Patients and clinical trials Clinical data was collected from the UK randomised clinical trials NEAT (n = 2027) [12], BR9601 (n = 374) [12], tAnGo (n = 3152) [13], and Neo-tAnGo (n = 831) [14], creating a nested cohort of 6,248 patients, from a total of 6,384 patients, included in this study after providing adequate quality toxicity data. Additional file 1: Figure S1a,b summarises the individual clinical trials included and their trial objectives. Table 1 summarises patient characteristics of the 6,248 patients, with Additional file 1: Table S1 showing patient characteristics by each trial. Median follow-up was 6.2 years, with 1,335 (21 %) breast cancer-related events, 148 (2 %) non-breast cancer-related deaths, and 4,765 (77 %) live patients. For the analysis of RFS, there were 1,888 events (30 %) recorded and 4,360 (70 %) censored observations. Written informed consent was obtained from each patient recruited into the trials. All the trials involved received full ethical approval from a UK ethical review board and completed all other regulatory requirements prior to commencement.Table 1Summary of patient characteristics for the study cohortStudy cohortn%Randomised treatment E-CMF115619 CMF114919 EC-T177328 EC-TG176928 T-EC2003 TG-EC2013Age, years ≤ 50360658 > 50264242ER status Negative255141 Positive359157 Missing1062pGR status Negative246339 Positive265243 Missing113318HER2 status Negative376060 Positive103417 Missing145423Nodal status Negative136622 1–3 positive238338 Clinically negative, neoadjuvant4097 Clinically positive, neoadjuvant4036 4+ positive168727Breast cancer-specific survival Breast cancer related deaths133521 Deaths due to other cause1482 Alive476577Relapse-free survival Events188830 Censored436070Triple negative status No (ER+ and HER2–)232137 Yes (ER–, PGR– or unknown, and HER2–)124220 Missing268543ECOG performance status 0523284 ≥ 168311 Missing3335Tumour size, mm 0–20219535 21–50337554 > 504758 Missing2033Tumour grade 11462 2220635 3365459 Missing2424Menopausal status Pre/peri348056 Post220035 Missing5689BMI Underweight (<18.5)691 Healthy weight (18.5 to <25)250340 Overweight (25 to <30)208833 Obese (≥30)146924\nER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine\nSummary of patient characteristics for the study cohort\n\nER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine\nClinical data was collected from the UK randomised clinical trials NEAT (n = 2027) [12], BR9601 (n = 374) [12], tAnGo (n = 3152) [13], and Neo-tAnGo (n = 831) [14], creating a nested cohort of 6,248 patients, from a total of 6,384 patients, included in this study after providing adequate quality toxicity data. Additional file 1: Figure S1a,b summarises the individual clinical trials included and their trial objectives. Table 1 summarises patient characteristics of the 6,248 patients, with Additional file 1: Table S1 showing patient characteristics by each trial. Median follow-up was 6.2 years, with 1,335 (21 %) breast cancer-related events, 148 (2 %) non-breast cancer-related deaths, and 4,765 (77 %) live patients. For the analysis of RFS, there were 1,888 events (30 %) recorded and 4,360 (70 %) censored observations. Written informed consent was obtained from each patient recruited into the trials. All the trials involved received full ethical approval from a UK ethical review board and completed all other regulatory requirements prior to commencement.Table 1Summary of patient characteristics for the study cohortStudy cohortn%Randomised treatment E-CMF115619 CMF114919 EC-T177328 EC-TG176928 T-EC2003 TG-EC2013Age, years ≤ 50360658 > 50264242ER status Negative255141 Positive359157 Missing1062pGR status Negative246339 Positive265243 Missing113318HER2 status Negative376060 Positive103417 Missing145423Nodal status Negative136622 1–3 positive238338 Clinically negative, neoadjuvant4097 Clinically positive, neoadjuvant4036 4+ positive168727Breast cancer-specific survival Breast cancer related deaths133521 Deaths due to other cause1482 Alive476577Relapse-free survival Events188830 Censored436070Triple negative status No (ER+ and HER2–)232137 Yes (ER–, PGR– or unknown, and HER2–)124220 Missing268543ECOG performance status 0523284 ≥ 168311 Missing3335Tumour size, mm 0–20219535 21–50337554 > 504758 Missing2033Tumour grade 11462 2220635 3365459 Missing2424Menopausal status Pre/peri348056 Post220035 Missing5689BMI Underweight (<18.5)691 Healthy weight (18.5 to <25)250340 Overweight (25 to <30)208833 Obese (≥30)146924\nER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine\nSummary of patient characteristics for the study cohort\n\nER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine\n Phenotypes In all trials, CRTs were evaluated during each chemotherapy cycle for each patient. CRTs were graded using NCI CTCAE (version 2 or 3; Table S2 in Additional file 1) by the investigators at the participating centres and data collected centrally via case report forms. For each of the 13 CRTs of interest (Fig. 1 - Consort diagram for chemotherapy-related toxicity analyses), patients were categorised into a case or control based on their maximum reported grade of the CRT throughout their chemotherapy treatment (Table S3, Additional file 1). All trials required pre-treatment blood count assessment prior to administration of each cycle and neutropenia was classified from immediate pre-chemotherapy blood tests. Blood draw was avoided during the expected white blood cell nadir period.Fig. 1Consort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype\nConsort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype\nIn all trials, CRTs were evaluated during each chemotherapy cycle for each patient. CRTs were graded using NCI CTCAE (version 2 or 3; Table S2 in Additional file 1) by the investigators at the participating centres and data collected centrally via case report forms. For each of the 13 CRTs of interest (Fig. 1 - Consort diagram for chemotherapy-related toxicity analyses), patients were categorised into a case or control based on their maximum reported grade of the CRT throughout their chemotherapy treatment (Table S3, Additional file 1). All trials required pre-treatment blood count assessment prior to administration of each cycle and neutropenia was classified from immediate pre-chemotherapy blood tests. Blood draw was avoided during the expected white blood cell nadir period.Fig. 1Consort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype\nConsort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype\n Ethics, consent and permissions Ethical approval was obtained for tAnGo (West Midlands: 00/7/44), Neo-tAnGo (South East: 04/MRE01/60), NEAT/BR9601 (West Midlands: 30/04/1996) and PGSNPS (Cambridgeshire: 05Q0108/71).\nAll patients gave their consent to participate in the trials.\nEthical approval was obtained for tAnGo (West Midlands: 00/7/44), Neo-tAnGo (South East: 04/MRE01/60), NEAT/BR9601 (West Midlands: 30/04/1996) and PGSNPS (Cambridgeshire: 05Q0108/71).\nAll patients gave their consent to participate in the trials.\n Statistical analysis To investigate the association between CRTs and outcomes, BCSS time was calculated from date of treatment cessation to date of death due to breast cancer, or to date of death due to other causes, or date of censoring in women still alive. RFS time was calculated from date of treatment cessation to either the date of first relapse or date of death in women dying without relapse, or to date of censoring for those alive and relapse free.\nCox proportional-hazards modelling was used to investigate the association between CRTs experienced (categorised as shown in Additional file 1: Table S3) and BCSS and RFS. A base Cox model was created by testing the association of important prognostic factors with BCSS and RFS. Any factors which were significant at P <0.05 in univariable analysis were entered into a multivariable Cox model and factors remaining significant on adjustment in the multivariable model were retained for the base Cox model. The proportional hazards assumption was checked using the Schoenfeld residuals method [15]. Subsequent models were stratified by variables that violated the proportional hazards assumption. All CRTs significant in a univariable Cox model at the P <0.1 level were entered into the multivariable base Cox model to assess their association with BCSS and RFS. Associations between CRTs and BCSS or RFS were deemed statistically significant if the P value was <0.05.\nAny CRT showing a relationship with outcome at this stage was further investigated. To determine if the relationship found was independent of dose intensity (DI) (sub-optimal DI (<85 %) versus optimal DI (>85 %)) [16], the analysis was re-run adjusting for DI. Due to the known relationship between increasing BMI and poor prognosis [17, 18], we similarly assessed if adjusting for BMI affected the relationship between the CRT and RFS/BCSS. Additionally, CRT relationships with known prognostic factors were assessed using χ2 tests with continuity corrections.\nAfter performing this analysis on all 6,248 patients, seven different components of the treatment regimens received by the group of patients were investigated (Table S4 in Additional file 1), including (1) epirubicin (E); (2) cyclophosphamide, methotrexate and 5-fluorouracil (CMF) after having received E; (3) CMF as the sole treatment regimen; (4) EC as a primary component; (5) paclitaxel (T) and/or gemcitabine (G) after receiving EC; (6) T and/or G as a primary component; and (7) EC after having received T and/or G). Case-control re-classification for each of the CRTs of interest was undertaken focusing purely on the patients’ maximum reported grade during the different components of their particular treatment regimen. Association with increased or decreased RFS and BCSS was assessed.\nTo investigate the association between CRTs and outcomes, BCSS time was calculated from date of treatment cessation to date of death due to breast cancer, or to date of death due to other causes, or date of censoring in women still alive. RFS time was calculated from date of treatment cessation to either the date of first relapse or date of death in women dying without relapse, or to date of censoring for those alive and relapse free.\nCox proportional-hazards modelling was used to investigate the association between CRTs experienced (categorised as shown in Additional file 1: Table S3) and BCSS and RFS. A base Cox model was created by testing the association of important prognostic factors with BCSS and RFS. Any factors which were significant at P <0.05 in univariable analysis were entered into a multivariable Cox model and factors remaining significant on adjustment in the multivariable model were retained for the base Cox model. The proportional hazards assumption was checked using the Schoenfeld residuals method [15]. Subsequent models were stratified by variables that violated the proportional hazards assumption. All CRTs significant in a univariable Cox model at the P <0.1 level were entered into the multivariable base Cox model to assess their association with BCSS and RFS. Associations between CRTs and BCSS or RFS were deemed statistically significant if the P value was <0.05.\nAny CRT showing a relationship with outcome at this stage was further investigated. To determine if the relationship found was independent of dose intensity (DI) (sub-optimal DI (<85 %) versus optimal DI (>85 %)) [16], the analysis was re-run adjusting for DI. Due to the known relationship between increasing BMI and poor prognosis [17, 18], we similarly assessed if adjusting for BMI affected the relationship between the CRT and RFS/BCSS. Additionally, CRT relationships with known prognostic factors were assessed using χ2 tests with continuity corrections.\nAfter performing this analysis on all 6,248 patients, seven different components of the treatment regimens received by the group of patients were investigated (Table S4 in Additional file 1), including (1) epirubicin (E); (2) cyclophosphamide, methotrexate and 5-fluorouracil (CMF) after having received E; (3) CMF as the sole treatment regimen; (4) EC as a primary component; (5) paclitaxel (T) and/or gemcitabine (G) after receiving EC; (6) T and/or G as a primary component; and (7) EC after having received T and/or G). Case-control re-classification for each of the CRTs of interest was undertaken focusing purely on the patients’ maximum reported grade during the different components of their particular treatment regimen. Association with increased or decreased RFS and BCSS was assessed.", "Clinical data was collected from the UK randomised clinical trials NEAT (n = 2027) [12], BR9601 (n = 374) [12], tAnGo (n = 3152) [13], and Neo-tAnGo (n = 831) [14], creating a nested cohort of 6,248 patients, from a total of 6,384 patients, included in this study after providing adequate quality toxicity data. Additional file 1: Figure S1a,b summarises the individual clinical trials included and their trial objectives. Table 1 summarises patient characteristics of the 6,248 patients, with Additional file 1: Table S1 showing patient characteristics by each trial. Median follow-up was 6.2 years, with 1,335 (21 %) breast cancer-related events, 148 (2 %) non-breast cancer-related deaths, and 4,765 (77 %) live patients. For the analysis of RFS, there were 1,888 events (30 %) recorded and 4,360 (70 %) censored observations. Written informed consent was obtained from each patient recruited into the trials. All the trials involved received full ethical approval from a UK ethical review board and completed all other regulatory requirements prior to commencement.Table 1Summary of patient characteristics for the study cohortStudy cohortn%Randomised treatment E-CMF115619 CMF114919 EC-T177328 EC-TG176928 T-EC2003 TG-EC2013Age, years ≤ 50360658 > 50264242ER status Negative255141 Positive359157 Missing1062pGR status Negative246339 Positive265243 Missing113318HER2 status Negative376060 Positive103417 Missing145423Nodal status Negative136622 1–3 positive238338 Clinically negative, neoadjuvant4097 Clinically positive, neoadjuvant4036 4+ positive168727Breast cancer-specific survival Breast cancer related deaths133521 Deaths due to other cause1482 Alive476577Relapse-free survival Events188830 Censored436070Triple negative status No (ER+ and HER2–)232137 Yes (ER–, PGR– or unknown, and HER2–)124220 Missing268543ECOG performance status 0523284 ≥ 168311 Missing3335Tumour size, mm 0–20219535 21–50337554 > 504758 Missing2033Tumour grade 11462 2220635 3365459 Missing2424Menopausal status Pre/peri348056 Post220035 Missing5689BMI Underweight (<18.5)691 Healthy weight (18.5 to <25)250340 Overweight (25 to <30)208833 Obese (≥30)146924\nER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine\nSummary of patient characteristics for the study cohort\n\nER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine", "In all trials, CRTs were evaluated during each chemotherapy cycle for each patient. CRTs were graded using NCI CTCAE (version 2 or 3; Table S2 in Additional file 1) by the investigators at the participating centres and data collected centrally via case report forms. For each of the 13 CRTs of interest (Fig. 1 - Consort diagram for chemotherapy-related toxicity analyses), patients were categorised into a case or control based on their maximum reported grade of the CRT throughout their chemotherapy treatment (Table S3, Additional file 1). All trials required pre-treatment blood count assessment prior to administration of each cycle and neutropenia was classified from immediate pre-chemotherapy blood tests. Blood draw was avoided during the expected white blood cell nadir period.Fig. 1Consort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype\nConsort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype", "Ethical approval was obtained for tAnGo (West Midlands: 00/7/44), Neo-tAnGo (South East: 04/MRE01/60), NEAT/BR9601 (West Midlands: 30/04/1996) and PGSNPS (Cambridgeshire: 05Q0108/71).\nAll patients gave their consent to participate in the trials.", "To investigate the association between CRTs and outcomes, BCSS time was calculated from date of treatment cessation to date of death due to breast cancer, or to date of death due to other causes, or date of censoring in women still alive. RFS time was calculated from date of treatment cessation to either the date of first relapse or date of death in women dying without relapse, or to date of censoring for those alive and relapse free.\nCox proportional-hazards modelling was used to investigate the association between CRTs experienced (categorised as shown in Additional file 1: Table S3) and BCSS and RFS. A base Cox model was created by testing the association of important prognostic factors with BCSS and RFS. Any factors which were significant at P <0.05 in univariable analysis were entered into a multivariable Cox model and factors remaining significant on adjustment in the multivariable model were retained for the base Cox model. The proportional hazards assumption was checked using the Schoenfeld residuals method [15]. Subsequent models were stratified by variables that violated the proportional hazards assumption. All CRTs significant in a univariable Cox model at the P <0.1 level were entered into the multivariable base Cox model to assess their association with BCSS and RFS. Associations between CRTs and BCSS or RFS were deemed statistically significant if the P value was <0.05.\nAny CRT showing a relationship with outcome at this stage was further investigated. To determine if the relationship found was independent of dose intensity (DI) (sub-optimal DI (<85 %) versus optimal DI (>85 %)) [16], the analysis was re-run adjusting for DI. Due to the known relationship between increasing BMI and poor prognosis [17, 18], we similarly assessed if adjusting for BMI affected the relationship between the CRT and RFS/BCSS. Additionally, CRT relationships with known prognostic factors were assessed using χ2 tests with continuity corrections.\nAfter performing this analysis on all 6,248 patients, seven different components of the treatment regimens received by the group of patients were investigated (Table S4 in Additional file 1), including (1) epirubicin (E); (2) cyclophosphamide, methotrexate and 5-fluorouracil (CMF) after having received E; (3) CMF as the sole treatment regimen; (4) EC as a primary component; (5) paclitaxel (T) and/or gemcitabine (G) after receiving EC; (6) T and/or G as a primary component; and (7) EC after having received T and/or G). Case-control re-classification for each of the CRTs of interest was undertaken focusing purely on the patients’ maximum reported grade during the different components of their particular treatment regimen. Association with increased or decreased RFS and BCSS was assessed.", " Analysis of maximum CRT across all chemotherapy treatments The base Cox model included trial, performance status (PS) and nodal status, and was stratified by tumour size, tumour grade and estrogen receptor (ER) status. Neutropenia, fatigue, anaemia, combined haematological toxicity and constipation were nominally significant (P <0.1) for either BCSS or RFS (or both) on univariable analysis (Table 2). All other CRTs were not found to be associated with either RFS or BCSS. After adjustment for other prognostic factors in the model, only neutropenia was significant. Fatigue was not statistically significant after adjustment (BCSS; HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06).Table 2Analysis of maximum CRT across all treatmentsToxicityn (Univariable analysis)n (Multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueNeutropeniaa\n588652110.85 (0.74–0.98)0.020.87 (0.75–1.01)0.060.85 (0.76–0.95)0.0040.86 (0.76–0.97)0.02Nausea624854681.11 (0.93–1.33)0.251.09 (0.90–1.33)0.371.07 (0.91–1.25)0.421.06 (0.90–1.26)0.47Vomiting624854680.98 (0.80–1.19)0.801.03 (0.84–1.28)0.761.00 (0.85–1.18)>0.991.05 (0.88–1.26)0.57Stomatitis624854681.20 (0.89–1.63)0.241.25 (0.90–1.74)0.191.09 (0.83–1.43)0.541.12 (0.83–1.50)0.46Constipation588652110.91 (0.80–1.04)0.170.95 (0.82–1.09)0.450.91 (0.82–1.01)0.090.94 (0.83–1.05)0.27Diarrhoea624854680.93 (0.68–1.26)0.640.98 (0.70–1.38)0.931.08 (0.85–1.37)0.541.19 (0.92–1.55)0.18Infection624854681.09 (0.97–1.22)0.141.01 (0.90–1.15)0.821.06 (0.96–1.16)0.261.01 (0.91–1.12)0.88Fatigue624854681.24 (1.07–1.43)0.0041.17 (0.99–1.37)0.061.17 (1.03–1.32)0.011.13 (0.99–1.30)0.08Anaemia394335821.18 (0.97–1.42)0.091.14 (0.93–1.39)0.211.11 (0.95–1.30)0.201.08 (0.91–1.28)0.36Combined haematological394335820.89 (0.77–1.03)0.110.88 (0.76–1.03)0.120.88 (0.78–0.99)0.030.88 (0.78–1.00)0.06Neurotoxicity394335820.96 (0.82–1.13)0.640.99 (0.84–1.17)0.900.98 (0.86–1.12)0.780.99 (0.87–1.14)0.94Myalgia394335820.95 (0.82–1.09)0.431.03 (0.89–1.20)0.690.95 (0.84–1.06)0.341.02 (0.91–1.16)0.70Fever394335820.98 (0.67–1.44)0.910.84 (0.57–1.26)0.411.08 (0.80–1.46)0.630.98 (0.71–1.34)0.88\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval\naCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3\nAnalysis of maximum CRT across all treatments\n\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval\n\naCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3\n Neutropenia Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36).\nUnderweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival.\nOlder patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively).\nThe extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown.\nAs previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\nAnalysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)\n\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\nNeutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36).\nUnderweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival.\nOlder patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively).\nThe extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown.\nAs previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\nAnalysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)\n\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\n Fatigue Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08).\nFatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance.\nFatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08).\nFatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance.\nThe base Cox model included trial, performance status (PS) and nodal status, and was stratified by tumour size, tumour grade and estrogen receptor (ER) status. Neutropenia, fatigue, anaemia, combined haematological toxicity and constipation were nominally significant (P <0.1) for either BCSS or RFS (or both) on univariable analysis (Table 2). All other CRTs were not found to be associated with either RFS or BCSS. After adjustment for other prognostic factors in the model, only neutropenia was significant. Fatigue was not statistically significant after adjustment (BCSS; HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06).Table 2Analysis of maximum CRT across all treatmentsToxicityn (Univariable analysis)n (Multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueNeutropeniaa\n588652110.85 (0.74–0.98)0.020.87 (0.75–1.01)0.060.85 (0.76–0.95)0.0040.86 (0.76–0.97)0.02Nausea624854681.11 (0.93–1.33)0.251.09 (0.90–1.33)0.371.07 (0.91–1.25)0.421.06 (0.90–1.26)0.47Vomiting624854680.98 (0.80–1.19)0.801.03 (0.84–1.28)0.761.00 (0.85–1.18)>0.991.05 (0.88–1.26)0.57Stomatitis624854681.20 (0.89–1.63)0.241.25 (0.90–1.74)0.191.09 (0.83–1.43)0.541.12 (0.83–1.50)0.46Constipation588652110.91 (0.80–1.04)0.170.95 (0.82–1.09)0.450.91 (0.82–1.01)0.090.94 (0.83–1.05)0.27Diarrhoea624854680.93 (0.68–1.26)0.640.98 (0.70–1.38)0.931.08 (0.85–1.37)0.541.19 (0.92–1.55)0.18Infection624854681.09 (0.97–1.22)0.141.01 (0.90–1.15)0.821.06 (0.96–1.16)0.261.01 (0.91–1.12)0.88Fatigue624854681.24 (1.07–1.43)0.0041.17 (0.99–1.37)0.061.17 (1.03–1.32)0.011.13 (0.99–1.30)0.08Anaemia394335821.18 (0.97–1.42)0.091.14 (0.93–1.39)0.211.11 (0.95–1.30)0.201.08 (0.91–1.28)0.36Combined haematological394335820.89 (0.77–1.03)0.110.88 (0.76–1.03)0.120.88 (0.78–0.99)0.030.88 (0.78–1.00)0.06Neurotoxicity394335820.96 (0.82–1.13)0.640.99 (0.84–1.17)0.900.98 (0.86–1.12)0.780.99 (0.87–1.14)0.94Myalgia394335820.95 (0.82–1.09)0.431.03 (0.89–1.20)0.690.95 (0.84–1.06)0.341.02 (0.91–1.16)0.70Fever394335820.98 (0.67–1.44)0.910.84 (0.57–1.26)0.411.08 (0.80–1.46)0.630.98 (0.71–1.34)0.88\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval\naCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3\nAnalysis of maximum CRT across all treatments\n\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval\n\naCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3\n Neutropenia Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36).\nUnderweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival.\nOlder patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively).\nThe extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown.\nAs previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\nAnalysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)\n\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\nNeutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36).\nUnderweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival.\nOlder patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively).\nThe extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown.\nAs previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\nAnalysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)\n\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\n Fatigue Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08).\nFatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance.\nFatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08).\nFatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance.\n CRTs of interest during specific chemotherapy regimen components In order to identify if CRTs reported during particular combination chemotherapy treatments were associated with increased or decreased RFS and BCSS, the analysis was repeated considering only the maximum NCI CTCAE grade documented during a specific chemotherapy regimen, rather the maximum NCI CTCAE grade across all chemotherapy treatments (Additional file 1: Table S4).\n Neutropenia Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99).\nNeutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively).\nFurthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens.\nPatients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99).\nNeutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively).\nFurthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens.\n Fatigue Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7).\nPatients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7).\nIn order to identify if CRTs reported during particular combination chemotherapy treatments were associated with increased or decreased RFS and BCSS, the analysis was repeated considering only the maximum NCI CTCAE grade documented during a specific chemotherapy regimen, rather the maximum NCI CTCAE grade across all chemotherapy treatments (Additional file 1: Table S4).\n Neutropenia Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99).\nNeutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively).\nFurthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens.\nPatients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99).\nNeutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively).\nFurthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens.\n Fatigue Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7).\nPatients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7).", "The base Cox model included trial, performance status (PS) and nodal status, and was stratified by tumour size, tumour grade and estrogen receptor (ER) status. Neutropenia, fatigue, anaemia, combined haematological toxicity and constipation were nominally significant (P <0.1) for either BCSS or RFS (or both) on univariable analysis (Table 2). All other CRTs were not found to be associated with either RFS or BCSS. After adjustment for other prognostic factors in the model, only neutropenia was significant. Fatigue was not statistically significant after adjustment (BCSS; HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06).Table 2Analysis of maximum CRT across all treatmentsToxicityn (Univariable analysis)n (Multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueNeutropeniaa\n588652110.85 (0.74–0.98)0.020.87 (0.75–1.01)0.060.85 (0.76–0.95)0.0040.86 (0.76–0.97)0.02Nausea624854681.11 (0.93–1.33)0.251.09 (0.90–1.33)0.371.07 (0.91–1.25)0.421.06 (0.90–1.26)0.47Vomiting624854680.98 (0.80–1.19)0.801.03 (0.84–1.28)0.761.00 (0.85–1.18)>0.991.05 (0.88–1.26)0.57Stomatitis624854681.20 (0.89–1.63)0.241.25 (0.90–1.74)0.191.09 (0.83–1.43)0.541.12 (0.83–1.50)0.46Constipation588652110.91 (0.80–1.04)0.170.95 (0.82–1.09)0.450.91 (0.82–1.01)0.090.94 (0.83–1.05)0.27Diarrhoea624854680.93 (0.68–1.26)0.640.98 (0.70–1.38)0.931.08 (0.85–1.37)0.541.19 (0.92–1.55)0.18Infection624854681.09 (0.97–1.22)0.141.01 (0.90–1.15)0.821.06 (0.96–1.16)0.261.01 (0.91–1.12)0.88Fatigue624854681.24 (1.07–1.43)0.0041.17 (0.99–1.37)0.061.17 (1.03–1.32)0.011.13 (0.99–1.30)0.08Anaemia394335821.18 (0.97–1.42)0.091.14 (0.93–1.39)0.211.11 (0.95–1.30)0.201.08 (0.91–1.28)0.36Combined haematological394335820.89 (0.77–1.03)0.110.88 (0.76–1.03)0.120.88 (0.78–0.99)0.030.88 (0.78–1.00)0.06Neurotoxicity394335820.96 (0.82–1.13)0.640.99 (0.84–1.17)0.900.98 (0.86–1.12)0.780.99 (0.87–1.14)0.94Myalgia394335820.95 (0.82–1.09)0.431.03 (0.89–1.20)0.690.95 (0.84–1.06)0.341.02 (0.91–1.16)0.70Fever394335820.98 (0.67–1.44)0.910.84 (0.57–1.26)0.411.08 (0.80–1.46)0.630.98 (0.71–1.34)0.88\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval\naCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3\nAnalysis of maximum CRT across all treatments\n\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval\n\naCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3\n Neutropenia Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36).\nUnderweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival.\nOlder patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively).\nThe extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown.\nAs previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\nAnalysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)\n\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\nNeutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36).\nUnderweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival.\nOlder patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively).\nThe extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown.\nAs previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\nAnalysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)\n\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\n Fatigue Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08).\nFatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance.\nFatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08).\nFatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance.", "Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36).\nUnderweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival.\nOlder patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively).\nThe extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown.\nAs previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueHR (95 % CI)\nP valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval\nAnalysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)\n\nBCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval", "Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08).\nFatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance.", "In order to identify if CRTs reported during particular combination chemotherapy treatments were associated with increased or decreased RFS and BCSS, the analysis was repeated considering only the maximum NCI CTCAE grade documented during a specific chemotherapy regimen, rather the maximum NCI CTCAE grade across all chemotherapy treatments (Additional file 1: Table S4).\n Neutropenia Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99).\nNeutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively).\nFurthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens.\nPatients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99).\nNeutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively).\nFurthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens.\n Fatigue Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7).\nPatients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7).", "Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99).\nNeutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively).\nFurthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens.", "Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7).", "We have investigated the association between 13 CRTs and clinical outcome (RFS and BCSS) in 6,248 patients with early breast cancer treated within randomised clinical trials of neoadjuvant and adjuvant chemotherapy. The majority of CRTs were not associated with either RFS or BCSS. However, we have demonstrated that severe neutropenia (grades ≥3) is associated with improved RFS. In addition, after re-classification of neutropenia case status to grades ≥1, the association with BCSS remains. Previous studies investigating the relationship between neutropenia and survival have hypothesised that neutropenia is a reflection of chemotherapy efficacy and activity. This implies that patients who are not achieving neutropenia may also not be receiving an effective or adequately active dose [18]. It must be noted that, in this study, 13 separate CRTs have been tested against two clinical endpoints of BCSS and RFS and, as such, the study findings must be considered whilst bearing in mind the issue of multiple testing.\nPatients with normal or underweight BMI are more likely to have severe neutropenia during their treatment course in comparison to overweight or obese BMI patients (P = 0.008). In obese patients, due to an increase in the amount of fat contributing to the actual weight and potentially changes in blood flow, the pharmacokinetics of chemotherapy may be affected. This may affect volume of distribution, clearance, and, consequently, patient drug exposure. Thus, overweight or obese BMI patients may not be receiving an adequate dose, although further investigations would be required to confirm this. The disadvantages of using body surface area (BSA) to dose patients have been discussed at length elsewhere [20–22]. Drug disposition can show 4–10-fold inter-individual variability, which is inadequately compensated for by using BSA. There is a strong argument to include other variables to allow more accurate dose estimation for each individual.\nBergh et al. [23] conducted a randomised trial comparing high-dose chemotherapy versus haematologically-tailored adjuvant chemotherapy to assess the effect on RFS and overall survival. The haematologically-tailored arm specified that participants experienced pre-defined levels of haematological toxicities. This study demonstrated that tailored chemotherapy rather than high-dose chemotherapy showed improved RFS. One shortcoming of this study was that it used high-dose chemotherapy as the ‘control’ arm, which is not the current standard treatment for early breast cancer. Lindeman et al. [24] conducted a trial using haematological criteria for selecting dosing strategy. Study results, available in abstract form only, did not show a statistically significant improvement in survival with tailored-chemotherapy compared with standard BSA-based chemotherapy. However, both distant DFS and DFS showed trends towards a better outcome for the tailored chemotherapy arm. Our results show that chemotherapy-induced neutropenia is an additional prognostic factor for longer-term outcomes, and we suggest that this could be tested in trials randomising between personalising chemotherapy within an adaptive protocol and standard chemotherapy dosing. Interestingly, trials in which doses of cyclophosphamide and doxorubicin were increased (NSABP B22 [25], NSABP B25 [26], and CALGB 9344 [27]) did not show benefit in long-term outcomes. However, dose-dense trials which increased the frequency of chemotherapy dosing with filgrastim support (CALGB 9741 [28] and a 10-study meta-analysis [29]) have shown improvement in longer-term outcomes. The authors of CALGB 9741 stated that it was their impression that the improvements seen in CALGB 9741 were as a result of the more frequent administration of chemotherapy, and that use of filgrastim did not by itself add to the efficacy of dose-dense treatment [30].\nThese trials have applied dose intensification with filgrastim support, which has abrogated any ‘signal’ from neutropenia; in fact, they have usually shown less febrile neutropenia and neutropenic sepsis in the dose-dense arm. In our study, we have looked at the prognostic effect of developing neutropenia in trials which have used standard chemotherapy dosing without routine filgrastim support. Future trials would need to establish whether adapting doses to achieve neutropenia would improve outcomes. Our hypothesis is that host factors (such as pharmacodynamic and pharmacogenomic factors) influence the level of chemotherapy-induced neutropenia, and only those patients who do not achieve neutropenia with standard doses may benefit from intensification of chemotherapy. The evidence would suggest that adapting to a dose-dense protocol may be the most effective way to intensify chemotherapy. The results show that patients achieving grade ≥1 have a statistically significant survival advantage. This allows the possibility of using a simple standard haematological measurement to adjust dose, whereby dose is adjusted until neutropenia NCI CTCAE grade ≥1 is achieved, after which treatment would be maintained at the same dosing level.\nThe potential mechanisms that may explain why chemotherapy-induced neutropenia is associated with improved survival include neutropenia as a marker of cancer stem cell death [22, 31]. Other studies have proposed that neutrophils may be involved in the control of the microenvironment in sites of metastatic spread [32–34]. Chia et al. [35] comment that toxicity and clinical outcome may be more likely to correlate when the therapeutic agent targets the biological driver of the disease directly, for example, sunitinib-associated hypertension [36]. Although the mechanism behind the association between chemotherapy-induced neutropenia and clinical outcome is unclear, this study, in conjunction with previously published data [2-4], provides strong evidence that this association is real and clinically relevant.\nModerate-severe fatigue (NCI CTCAE ≥2) may be associated with a reduced BCSS. This effect was significant in the univariable analysis of fatigue across all treatments (HR = 1.24; 95 % CI, 1.07–1.43; P = 0.004) but on multivariable analysis BCSS (HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06) became less significant. However, analysis of the treatment regimens showed that there was a statistically significant association between moderate-severe fatigue and BCSS in patients treated with ECMF (Additional file 1: Table S4). The patient characteristics across all the trials is similar, although 20 % of patients in NEAT and BR9601 had fatigue classified as grade ≥2, in comparison to only 10 % in tAnGo and Neo-tAnGo. It is notable that 18 % of NEAT and BR9601 had a pre-treatment PS ≥1, in comparison to only 8 % and 4 % of tAnGo and Neo-tAnGo patients, respectively (Additional file 1: Table S1). Trial eligibility criteria required that patients must have a PS ≤2. It is unclear whether this difference in baseline PS alone accounts for the increased levels of moderate-severe fatigue seen in NEAT and BR9601; however, reduced pre-treatment PS would be likely to increase the risk of severe fatigue during treatment [10, 11].", "This large and comprehensive study has shown a statistically significant association between improved survival and neutropenia (using toxicity classification NCI CTCAE ≥1 or ≥3). This association is clinically relevant and has the potential to be further tested in neutropenia-adapted treatment regimens within clinical trials to assess its potential to improve clinical outcome. This study shows that patients with normal or reduced BMI experience greater rates of neutropenia in comparison to overweight and obese patients. This is particularly relevant in populations where increasing levels of obesity may mean that a significant proportion of breast cancer patients are receiving sub-optimal chemotherapy doses. This study also indicates that chemotherapy-induced fatigue may be an indicator of poor clinical outcome. Patients’ pre-treatment performance status needs to be adequately assessed and levels of treatment-induced fatigue need to be carefully monitored and moderated.", "Data supporting these findings is held by the Trial Management Group for PGSNPS study, where the original concept for this analysis was designed. Any access requires appropriate ethical approvals and would be assessed by the Trial Management Group which includes the respective Chief Investigators of the clinical trials and PGSNPS, and would require a specific Data Transfer Agreement." ]
[ "introduction", "materials|methods", null, null, null, null, "results", null, null, null, null, null, null, "discussion", "conclusion", "materials|methods" ]
[ "Adverse events", "Breast cancer", "Chemotherapy", "Prognosis", "Survival", "Toxicity" ]
Background: Chemotherapy-related toxicities (CRTs) are a common complication of treatment in all cancers. For each CRT, multiple factors contribute to their development, including pharmacogenetic and co-morbidity factors [1]. The relationship between the occurrence of various CRTs and subsequent survival has been investigated in relatively small cohorts in multiple tumour types with conflicting results. A CRT may be a proxy pharmacokinetic parameter, indicating the level of drug exposure, dose density delivered and/or metabolic activity, or it may be a proxy pharmacodynamic parameter that reflects the sensitivity and susceptibility of different tissues to chemotherapy. Many studies in different tumour types have investigated the association between survival and measures of myelosuppression. Eskander et al. [2] reviewed seven breast cancer studies with inter-study heterogeneity in trial design and varying toxicities, including leukocyte nadir, myelosuppression and neutropenia. The largest study [3] (n = 750), showed that patients with grade 2 or 3 neutropenia, on the National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) scale, had a 10 % absolute survival advantage at 5 years compared to those with no neutropenia (multivariable P = 0.037). Shitara et al. [4] performed a meta-analysis of 13 trials (n = 9,528) considering several different toxicities, varying tumour types, stages of disease, and thresholds of NCI CTCAE classification and concluded that neutropenia or leukopenia experienced during chemotherapy was associated with improved survival. The association between survival and taxane-related sensory neuropathy in breast cancer patients has been explored previously. Schneider et al. [5] investigated 4,554 patients from a randomised controlled clinical trial and found no significant relationship between neuropathy and disease-free survival (DFS), overall survival, or relapse-free survival (RFS). However, Moreno-Aspitia et al. [6] did report an association of taxane-related sensory neuropathy with DFS in early stage, taxane-treated, human epidermal growth factor (HER2)-positive breast cancer patients. In ovarian cancer, Lee et al. [7] found that sensory neuropathy secondary to treatment with paclitaxel and carboplatin was associated with improved progression-free survival (n = 949). Moderate and/or severe oral mucositis was associated with improved survival in one study [8] (n = 533). Another study associated oral mucositis with an increased risk of infection and an adverse impact on survival [9]. Although there is considerable data on the impact of fatigue on quality of life [10, 11] in early stage breast cancer, there is no published evidence on the prognostic significance of chemotherapy-induced fatigue in early stage disease. We have investigated the association between 13 common CRTs and RFS and breast cancer-specific survival (BCSS) in patients (n = 6,248) with early stage breast cancer using data from randomised controlled trials with prospective protocol-driven collection of CRTs. Methods: Patients and clinical trials Clinical data was collected from the UK randomised clinical trials NEAT (n = 2027) [12], BR9601 (n = 374) [12], tAnGo (n = 3152) [13], and Neo-tAnGo (n = 831) [14], creating a nested cohort of 6,248 patients, from a total of 6,384 patients, included in this study after providing adequate quality toxicity data. Additional file 1: Figure S1a,b summarises the individual clinical trials included and their trial objectives. Table 1 summarises patient characteristics of the 6,248 patients, with Additional file 1: Table S1 showing patient characteristics by each trial. Median follow-up was 6.2 years, with 1,335 (21 %) breast cancer-related events, 148 (2 %) non-breast cancer-related deaths, and 4,765 (77 %) live patients. For the analysis of RFS, there were 1,888 events (30 %) recorded and 4,360 (70 %) censored observations. Written informed consent was obtained from each patient recruited into the trials. All the trials involved received full ethical approval from a UK ethical review board and completed all other regulatory requirements prior to commencement.Table 1Summary of patient characteristics for the study cohortStudy cohortn%Randomised treatment E-CMF115619 CMF114919 EC-T177328 EC-TG176928 T-EC2003 TG-EC2013Age, years ≤ 50360658 > 50264242ER status Negative255141 Positive359157 Missing1062pGR status Negative246339 Positive265243 Missing113318HER2 status Negative376060 Positive103417 Missing145423Nodal status Negative136622 1–3 positive238338 Clinically negative, neoadjuvant4097 Clinically positive, neoadjuvant4036 4+ positive168727Breast cancer-specific survival Breast cancer related deaths133521 Deaths due to other cause1482 Alive476577Relapse-free survival Events188830 Censored436070Triple negative status No (ER+ and HER2–)232137 Yes (ER–, PGR– or unknown, and HER2–)124220 Missing268543ECOG performance status 0523284 ≥ 168311 Missing3335Tumour size, mm 0–20219535 21–50337554 > 504758 Missing2033Tumour grade 11462 2220635 3365459 Missing2424Menopausal status Pre/peri348056 Post220035 Missing5689BMI Underweight (<18.5)691 Healthy weight (18.5 to <25)250340 Overweight (25 to <30)208833 Obese (≥30)146924 ER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine Summary of patient characteristics for the study cohort ER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine Clinical data was collected from the UK randomised clinical trials NEAT (n = 2027) [12], BR9601 (n = 374) [12], tAnGo (n = 3152) [13], and Neo-tAnGo (n = 831) [14], creating a nested cohort of 6,248 patients, from a total of 6,384 patients, included in this study after providing adequate quality toxicity data. Additional file 1: Figure S1a,b summarises the individual clinical trials included and their trial objectives. Table 1 summarises patient characteristics of the 6,248 patients, with Additional file 1: Table S1 showing patient characteristics by each trial. Median follow-up was 6.2 years, with 1,335 (21 %) breast cancer-related events, 148 (2 %) non-breast cancer-related deaths, and 4,765 (77 %) live patients. For the analysis of RFS, there were 1,888 events (30 %) recorded and 4,360 (70 %) censored observations. Written informed consent was obtained from each patient recruited into the trials. All the trials involved received full ethical approval from a UK ethical review board and completed all other regulatory requirements prior to commencement.Table 1Summary of patient characteristics for the study cohortStudy cohortn%Randomised treatment E-CMF115619 CMF114919 EC-T177328 EC-TG176928 T-EC2003 TG-EC2013Age, years ≤ 50360658 > 50264242ER status Negative255141 Positive359157 Missing1062pGR status Negative246339 Positive265243 Missing113318HER2 status Negative376060 Positive103417 Missing145423Nodal status Negative136622 1–3 positive238338 Clinically negative, neoadjuvant4097 Clinically positive, neoadjuvant4036 4+ positive168727Breast cancer-specific survival Breast cancer related deaths133521 Deaths due to other cause1482 Alive476577Relapse-free survival Events188830 Censored436070Triple negative status No (ER+ and HER2–)232137 Yes (ER–, PGR– or unknown, and HER2–)124220 Missing268543ECOG performance status 0523284 ≥ 168311 Missing3335Tumour size, mm 0–20219535 21–50337554 > 504758 Missing2033Tumour grade 11462 2220635 3365459 Missing2424Menopausal status Pre/peri348056 Post220035 Missing5689BMI Underweight (<18.5)691 Healthy weight (18.5 to <25)250340 Overweight (25 to <30)208833 Obese (≥30)146924 ER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine Summary of patient characteristics for the study cohort ER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine Phenotypes In all trials, CRTs were evaluated during each chemotherapy cycle for each patient. CRTs were graded using NCI CTCAE (version 2 or 3; Table S2 in Additional file 1) by the investigators at the participating centres and data collected centrally via case report forms. For each of the 13 CRTs of interest (Fig. 1 - Consort diagram for chemotherapy-related toxicity analyses), patients were categorised into a case or control based on their maximum reported grade of the CRT throughout their chemotherapy treatment (Table S3, Additional file 1). All trials required pre-treatment blood count assessment prior to administration of each cycle and neutropenia was classified from immediate pre-chemotherapy blood tests. Blood draw was avoided during the expected white blood cell nadir period.Fig. 1Consort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype Consort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype In all trials, CRTs were evaluated during each chemotherapy cycle for each patient. CRTs were graded using NCI CTCAE (version 2 or 3; Table S2 in Additional file 1) by the investigators at the participating centres and data collected centrally via case report forms. For each of the 13 CRTs of interest (Fig. 1 - Consort diagram for chemotherapy-related toxicity analyses), patients were categorised into a case or control based on their maximum reported grade of the CRT throughout their chemotherapy treatment (Table S3, Additional file 1). All trials required pre-treatment blood count assessment prior to administration of each cycle and neutropenia was classified from immediate pre-chemotherapy blood tests. Blood draw was avoided during the expected white blood cell nadir period.Fig. 1Consort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype Consort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype Ethics, consent and permissions Ethical approval was obtained for tAnGo (West Midlands: 00/7/44), Neo-tAnGo (South East: 04/MRE01/60), NEAT/BR9601 (West Midlands: 30/04/1996) and PGSNPS (Cambridgeshire: 05Q0108/71). All patients gave their consent to participate in the trials. Ethical approval was obtained for tAnGo (West Midlands: 00/7/44), Neo-tAnGo (South East: 04/MRE01/60), NEAT/BR9601 (West Midlands: 30/04/1996) and PGSNPS (Cambridgeshire: 05Q0108/71). All patients gave their consent to participate in the trials. Statistical analysis To investigate the association between CRTs and outcomes, BCSS time was calculated from date of treatment cessation to date of death due to breast cancer, or to date of death due to other causes, or date of censoring in women still alive. RFS time was calculated from date of treatment cessation to either the date of first relapse or date of death in women dying without relapse, or to date of censoring for those alive and relapse free. Cox proportional-hazards modelling was used to investigate the association between CRTs experienced (categorised as shown in Additional file 1: Table S3) and BCSS and RFS. A base Cox model was created by testing the association of important prognostic factors with BCSS and RFS. Any factors which were significant at P <0.05 in univariable analysis were entered into a multivariable Cox model and factors remaining significant on adjustment in the multivariable model were retained for the base Cox model. The proportional hazards assumption was checked using the Schoenfeld residuals method [15]. Subsequent models were stratified by variables that violated the proportional hazards assumption. All CRTs significant in a univariable Cox model at the P <0.1 level were entered into the multivariable base Cox model to assess their association with BCSS and RFS. Associations between CRTs and BCSS or RFS were deemed statistically significant if the P value was <0.05. Any CRT showing a relationship with outcome at this stage was further investigated. To determine if the relationship found was independent of dose intensity (DI) (sub-optimal DI (<85 %) versus optimal DI (>85 %)) [16], the analysis was re-run adjusting for DI. Due to the known relationship between increasing BMI and poor prognosis [17, 18], we similarly assessed if adjusting for BMI affected the relationship between the CRT and RFS/BCSS. Additionally, CRT relationships with known prognostic factors were assessed using χ2 tests with continuity corrections. After performing this analysis on all 6,248 patients, seven different components of the treatment regimens received by the group of patients were investigated (Table S4 in Additional file 1), including (1) epirubicin (E); (2) cyclophosphamide, methotrexate and 5-fluorouracil (CMF) after having received E; (3) CMF as the sole treatment regimen; (4) EC as a primary component; (5) paclitaxel (T) and/or gemcitabine (G) after receiving EC; (6) T and/or G as a primary component; and (7) EC after having received T and/or G). Case-control re-classification for each of the CRTs of interest was undertaken focusing purely on the patients’ maximum reported grade during the different components of their particular treatment regimen. Association with increased or decreased RFS and BCSS was assessed. To investigate the association between CRTs and outcomes, BCSS time was calculated from date of treatment cessation to date of death due to breast cancer, or to date of death due to other causes, or date of censoring in women still alive. RFS time was calculated from date of treatment cessation to either the date of first relapse or date of death in women dying without relapse, or to date of censoring for those alive and relapse free. Cox proportional-hazards modelling was used to investigate the association between CRTs experienced (categorised as shown in Additional file 1: Table S3) and BCSS and RFS. A base Cox model was created by testing the association of important prognostic factors with BCSS and RFS. Any factors which were significant at P <0.05 in univariable analysis were entered into a multivariable Cox model and factors remaining significant on adjustment in the multivariable model were retained for the base Cox model. The proportional hazards assumption was checked using the Schoenfeld residuals method [15]. Subsequent models were stratified by variables that violated the proportional hazards assumption. All CRTs significant in a univariable Cox model at the P <0.1 level were entered into the multivariable base Cox model to assess their association with BCSS and RFS. Associations between CRTs and BCSS or RFS were deemed statistically significant if the P value was <0.05. Any CRT showing a relationship with outcome at this stage was further investigated. To determine if the relationship found was independent of dose intensity (DI) (sub-optimal DI (<85 %) versus optimal DI (>85 %)) [16], the analysis was re-run adjusting for DI. Due to the known relationship between increasing BMI and poor prognosis [17, 18], we similarly assessed if adjusting for BMI affected the relationship between the CRT and RFS/BCSS. Additionally, CRT relationships with known prognostic factors were assessed using χ2 tests with continuity corrections. After performing this analysis on all 6,248 patients, seven different components of the treatment regimens received by the group of patients were investigated (Table S4 in Additional file 1), including (1) epirubicin (E); (2) cyclophosphamide, methotrexate and 5-fluorouracil (CMF) after having received E; (3) CMF as the sole treatment regimen; (4) EC as a primary component; (5) paclitaxel (T) and/or gemcitabine (G) after receiving EC; (6) T and/or G as a primary component; and (7) EC after having received T and/or G). Case-control re-classification for each of the CRTs of interest was undertaken focusing purely on the patients’ maximum reported grade during the different components of their particular treatment regimen. Association with increased or decreased RFS and BCSS was assessed. Patients and clinical trials: Clinical data was collected from the UK randomised clinical trials NEAT (n = 2027) [12], BR9601 (n = 374) [12], tAnGo (n = 3152) [13], and Neo-tAnGo (n = 831) [14], creating a nested cohort of 6,248 patients, from a total of 6,384 patients, included in this study after providing adequate quality toxicity data. Additional file 1: Figure S1a,b summarises the individual clinical trials included and their trial objectives. Table 1 summarises patient characteristics of the 6,248 patients, with Additional file 1: Table S1 showing patient characteristics by each trial. Median follow-up was 6.2 years, with 1,335 (21 %) breast cancer-related events, 148 (2 %) non-breast cancer-related deaths, and 4,765 (77 %) live patients. For the analysis of RFS, there were 1,888 events (30 %) recorded and 4,360 (70 %) censored observations. Written informed consent was obtained from each patient recruited into the trials. All the trials involved received full ethical approval from a UK ethical review board and completed all other regulatory requirements prior to commencement.Table 1Summary of patient characteristics for the study cohortStudy cohortn%Randomised treatment E-CMF115619 CMF114919 EC-T177328 EC-TG176928 T-EC2003 TG-EC2013Age, years ≤ 50360658 > 50264242ER status Negative255141 Positive359157 Missing1062pGR status Negative246339 Positive265243 Missing113318HER2 status Negative376060 Positive103417 Missing145423Nodal status Negative136622 1–3 positive238338 Clinically negative, neoadjuvant4097 Clinically positive, neoadjuvant4036 4+ positive168727Breast cancer-specific survival Breast cancer related deaths133521 Deaths due to other cause1482 Alive476577Relapse-free survival Events188830 Censored436070Triple negative status No (ER+ and HER2–)232137 Yes (ER–, PGR– or unknown, and HER2–)124220 Missing268543ECOG performance status 0523284 ≥ 168311 Missing3335Tumour size, mm 0–20219535 21–50337554 > 504758 Missing2033Tumour grade 11462 2220635 3365459 Missing2424Menopausal status Pre/peri348056 Post220035 Missing5689BMI Underweight (<18.5)691 Healthy weight (18.5 to <25)250340 Overweight (25 to <30)208833 Obese (≥30)146924 ER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine Summary of patient characteristics for the study cohort ER Estrogen receptor; pGR Progesterone receptor; HER2 Human epidermal growth factor receptor; ECOG Eastern Co-operative Oncology Group; BMI Body mass index; E Epirubicin; C Cyclophosphamide; M Methotrexate; F 5-fluouroucil; T Paclitaxel; G Gemcitabine Phenotypes: In all trials, CRTs were evaluated during each chemotherapy cycle for each patient. CRTs were graded using NCI CTCAE (version 2 or 3; Table S2 in Additional file 1) by the investigators at the participating centres and data collected centrally via case report forms. For each of the 13 CRTs of interest (Fig. 1 - Consort diagram for chemotherapy-related toxicity analyses), patients were categorised into a case or control based on their maximum reported grade of the CRT throughout their chemotherapy treatment (Table S3, Additional file 1). All trials required pre-treatment blood count assessment prior to administration of each cycle and neutropenia was classified from immediate pre-chemotherapy blood tests. Blood draw was avoided during the expected white blood cell nadir period.Fig. 1Consort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype Consort diagram for chemotherapy-related toxicity analyses. *Combined, combined haematology phenotype; Myal/Arthral, myalgia and arthralgia combined phenotype Ethics, consent and permissions: Ethical approval was obtained for tAnGo (West Midlands: 00/7/44), Neo-tAnGo (South East: 04/MRE01/60), NEAT/BR9601 (West Midlands: 30/04/1996) and PGSNPS (Cambridgeshire: 05Q0108/71). All patients gave their consent to participate in the trials. Statistical analysis: To investigate the association between CRTs and outcomes, BCSS time was calculated from date of treatment cessation to date of death due to breast cancer, or to date of death due to other causes, or date of censoring in women still alive. RFS time was calculated from date of treatment cessation to either the date of first relapse or date of death in women dying without relapse, or to date of censoring for those alive and relapse free. Cox proportional-hazards modelling was used to investigate the association between CRTs experienced (categorised as shown in Additional file 1: Table S3) and BCSS and RFS. A base Cox model was created by testing the association of important prognostic factors with BCSS and RFS. Any factors which were significant at P <0.05 in univariable analysis were entered into a multivariable Cox model and factors remaining significant on adjustment in the multivariable model were retained for the base Cox model. The proportional hazards assumption was checked using the Schoenfeld residuals method [15]. Subsequent models were stratified by variables that violated the proportional hazards assumption. All CRTs significant in a univariable Cox model at the P <0.1 level were entered into the multivariable base Cox model to assess their association with BCSS and RFS. Associations between CRTs and BCSS or RFS were deemed statistically significant if the P value was <0.05. Any CRT showing a relationship with outcome at this stage was further investigated. To determine if the relationship found was independent of dose intensity (DI) (sub-optimal DI (<85 %) versus optimal DI (>85 %)) [16], the analysis was re-run adjusting for DI. Due to the known relationship between increasing BMI and poor prognosis [17, 18], we similarly assessed if adjusting for BMI affected the relationship between the CRT and RFS/BCSS. Additionally, CRT relationships with known prognostic factors were assessed using χ2 tests with continuity corrections. After performing this analysis on all 6,248 patients, seven different components of the treatment regimens received by the group of patients were investigated (Table S4 in Additional file 1), including (1) epirubicin (E); (2) cyclophosphamide, methotrexate and 5-fluorouracil (CMF) after having received E; (3) CMF as the sole treatment regimen; (4) EC as a primary component; (5) paclitaxel (T) and/or gemcitabine (G) after receiving EC; (6) T and/or G as a primary component; and (7) EC after having received T and/or G). Case-control re-classification for each of the CRTs of interest was undertaken focusing purely on the patients’ maximum reported grade during the different components of their particular treatment regimen. Association with increased or decreased RFS and BCSS was assessed. Results: Analysis of maximum CRT across all chemotherapy treatments The base Cox model included trial, performance status (PS) and nodal status, and was stratified by tumour size, tumour grade and estrogen receptor (ER) status. Neutropenia, fatigue, anaemia, combined haematological toxicity and constipation were nominally significant (P <0.1) for either BCSS or RFS (or both) on univariable analysis (Table 2). All other CRTs were not found to be associated with either RFS or BCSS. After adjustment for other prognostic factors in the model, only neutropenia was significant. Fatigue was not statistically significant after adjustment (BCSS; HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06).Table 2Analysis of maximum CRT across all treatmentsToxicityn (Univariable analysis)n (Multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueNeutropeniaa 588652110.85 (0.74–0.98)0.020.87 (0.75–1.01)0.060.85 (0.76–0.95)0.0040.86 (0.76–0.97)0.02Nausea624854681.11 (0.93–1.33)0.251.09 (0.90–1.33)0.371.07 (0.91–1.25)0.421.06 (0.90–1.26)0.47Vomiting624854680.98 (0.80–1.19)0.801.03 (0.84–1.28)0.761.00 (0.85–1.18)>0.991.05 (0.88–1.26)0.57Stomatitis624854681.20 (0.89–1.63)0.241.25 (0.90–1.74)0.191.09 (0.83–1.43)0.541.12 (0.83–1.50)0.46Constipation588652110.91 (0.80–1.04)0.170.95 (0.82–1.09)0.450.91 (0.82–1.01)0.090.94 (0.83–1.05)0.27Diarrhoea624854680.93 (0.68–1.26)0.640.98 (0.70–1.38)0.931.08 (0.85–1.37)0.541.19 (0.92–1.55)0.18Infection624854681.09 (0.97–1.22)0.141.01 (0.90–1.15)0.821.06 (0.96–1.16)0.261.01 (0.91–1.12)0.88Fatigue624854681.24 (1.07–1.43)0.0041.17 (0.99–1.37)0.061.17 (1.03–1.32)0.011.13 (0.99–1.30)0.08Anaemia394335821.18 (0.97–1.42)0.091.14 (0.93–1.39)0.211.11 (0.95–1.30)0.201.08 (0.91–1.28)0.36Combined haematological394335820.89 (0.77–1.03)0.110.88 (0.76–1.03)0.120.88 (0.78–0.99)0.030.88 (0.78–1.00)0.06Neurotoxicity394335820.96 (0.82–1.13)0.640.99 (0.84–1.17)0.900.98 (0.86–1.12)0.780.99 (0.87–1.14)0.94Myalgia394335820.95 (0.82–1.09)0.431.03 (0.89–1.20)0.690.95 (0.84–1.06)0.341.02 (0.91–1.16)0.70Fever394335820.98 (0.67–1.44)0.910.84 (0.57–1.26)0.411.08 (0.80–1.46)0.630.98 (0.71–1.34)0.88 BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval aCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3 Analysis of maximum CRT across all treatments BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval aCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3 Neutropenia Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36). Underweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival. Older patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively). The extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown. As previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07 BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0) BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36). Underweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival. Older patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively). The extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown. As previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07 BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0) BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Fatigue Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08). Fatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance. Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08). Fatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance. The base Cox model included trial, performance status (PS) and nodal status, and was stratified by tumour size, tumour grade and estrogen receptor (ER) status. Neutropenia, fatigue, anaemia, combined haematological toxicity and constipation were nominally significant (P <0.1) for either BCSS or RFS (or both) on univariable analysis (Table 2). All other CRTs were not found to be associated with either RFS or BCSS. After adjustment for other prognostic factors in the model, only neutropenia was significant. Fatigue was not statistically significant after adjustment (BCSS; HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06).Table 2Analysis of maximum CRT across all treatmentsToxicityn (Univariable analysis)n (Multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueNeutropeniaa 588652110.85 (0.74–0.98)0.020.87 (0.75–1.01)0.060.85 (0.76–0.95)0.0040.86 (0.76–0.97)0.02Nausea624854681.11 (0.93–1.33)0.251.09 (0.90–1.33)0.371.07 (0.91–1.25)0.421.06 (0.90–1.26)0.47Vomiting624854680.98 (0.80–1.19)0.801.03 (0.84–1.28)0.761.00 (0.85–1.18)>0.991.05 (0.88–1.26)0.57Stomatitis624854681.20 (0.89–1.63)0.241.25 (0.90–1.74)0.191.09 (0.83–1.43)0.541.12 (0.83–1.50)0.46Constipation588652110.91 (0.80–1.04)0.170.95 (0.82–1.09)0.450.91 (0.82–1.01)0.090.94 (0.83–1.05)0.27Diarrhoea624854680.93 (0.68–1.26)0.640.98 (0.70–1.38)0.931.08 (0.85–1.37)0.541.19 (0.92–1.55)0.18Infection624854681.09 (0.97–1.22)0.141.01 (0.90–1.15)0.821.06 (0.96–1.16)0.261.01 (0.91–1.12)0.88Fatigue624854681.24 (1.07–1.43)0.0041.17 (0.99–1.37)0.061.17 (1.03–1.32)0.011.13 (0.99–1.30)0.08Anaemia394335821.18 (0.97–1.42)0.091.14 (0.93–1.39)0.211.11 (0.95–1.30)0.201.08 (0.91–1.28)0.36Combined haematological394335820.89 (0.77–1.03)0.110.88 (0.76–1.03)0.120.88 (0.78–0.99)0.030.88 (0.78–1.00)0.06Neurotoxicity394335820.96 (0.82–1.13)0.640.99 (0.84–1.17)0.900.98 (0.86–1.12)0.780.99 (0.87–1.14)0.94Myalgia394335820.95 (0.82–1.09)0.431.03 (0.89–1.20)0.690.95 (0.84–1.06)0.341.02 (0.91–1.16)0.70Fever394335820.98 (0.67–1.44)0.910.84 (0.57–1.26)0.411.08 (0.80–1.46)0.630.98 (0.71–1.34)0.88 BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval aCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3 Analysis of maximum CRT across all treatments BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval aCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3 Neutropenia Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36). Underweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival. Older patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively). The extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown. As previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07 BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0) BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36). Underweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival. Older patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively). The extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown. As previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07 BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0) BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Fatigue Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08). Fatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance. Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08). Fatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance. CRTs of interest during specific chemotherapy regimen components In order to identify if CRTs reported during particular combination chemotherapy treatments were associated with increased or decreased RFS and BCSS, the analysis was repeated considering only the maximum NCI CTCAE grade documented during a specific chemotherapy regimen, rather the maximum NCI CTCAE grade across all chemotherapy treatments (Additional file 1: Table S4). Neutropenia Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99). Neutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively). Furthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens. Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99). Neutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively). Furthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens. Fatigue Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7). Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7). In order to identify if CRTs reported during particular combination chemotherapy treatments were associated with increased or decreased RFS and BCSS, the analysis was repeated considering only the maximum NCI CTCAE grade documented during a specific chemotherapy regimen, rather the maximum NCI CTCAE grade across all chemotherapy treatments (Additional file 1: Table S4). Neutropenia Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99). Neutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively). Furthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens. Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99). Neutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively). Furthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens. Fatigue Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7). Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7). Analysis of maximum CRT across all chemotherapy treatments: The base Cox model included trial, performance status (PS) and nodal status, and was stratified by tumour size, tumour grade and estrogen receptor (ER) status. Neutropenia, fatigue, anaemia, combined haematological toxicity and constipation were nominally significant (P <0.1) for either BCSS or RFS (or both) on univariable analysis (Table 2). All other CRTs were not found to be associated with either RFS or BCSS. After adjustment for other prognostic factors in the model, only neutropenia was significant. Fatigue was not statistically significant after adjustment (BCSS; HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06).Table 2Analysis of maximum CRT across all treatmentsToxicityn (Univariable analysis)n (Multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueNeutropeniaa 588652110.85 (0.74–0.98)0.020.87 (0.75–1.01)0.060.85 (0.76–0.95)0.0040.86 (0.76–0.97)0.02Nausea624854681.11 (0.93–1.33)0.251.09 (0.90–1.33)0.371.07 (0.91–1.25)0.421.06 (0.90–1.26)0.47Vomiting624854680.98 (0.80–1.19)0.801.03 (0.84–1.28)0.761.00 (0.85–1.18)>0.991.05 (0.88–1.26)0.57Stomatitis624854681.20 (0.89–1.63)0.241.25 (0.90–1.74)0.191.09 (0.83–1.43)0.541.12 (0.83–1.50)0.46Constipation588652110.91 (0.80–1.04)0.170.95 (0.82–1.09)0.450.91 (0.82–1.01)0.090.94 (0.83–1.05)0.27Diarrhoea624854680.93 (0.68–1.26)0.640.98 (0.70–1.38)0.931.08 (0.85–1.37)0.541.19 (0.92–1.55)0.18Infection624854681.09 (0.97–1.22)0.141.01 (0.90–1.15)0.821.06 (0.96–1.16)0.261.01 (0.91–1.12)0.88Fatigue624854681.24 (1.07–1.43)0.0041.17 (0.99–1.37)0.061.17 (1.03–1.32)0.011.13 (0.99–1.30)0.08Anaemia394335821.18 (0.97–1.42)0.091.14 (0.93–1.39)0.211.11 (0.95–1.30)0.201.08 (0.91–1.28)0.36Combined haematological394335820.89 (0.77–1.03)0.110.88 (0.76–1.03)0.120.88 (0.78–0.99)0.030.88 (0.78–1.00)0.06Neurotoxicity394335820.96 (0.82–1.13)0.640.99 (0.84–1.17)0.900.98 (0.86–1.12)0.780.99 (0.87–1.14)0.94Myalgia394335820.95 (0.82–1.09)0.431.03 (0.89–1.20)0.690.95 (0.84–1.06)0.341.02 (0.91–1.16)0.70Fever394335820.98 (0.67–1.44)0.910.84 (0.57–1.26)0.411.08 (0.80–1.46)0.630.98 (0.71–1.34)0.88 BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval aCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3 Analysis of maximum CRT across all treatments BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI Confidence interval aCases classified as National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAEAE) grade ≥3 Neutropenia Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36). Underweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival. Older patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively). The extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown. As previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07 BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0) BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36). Underweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival. Older patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively). The extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown. As previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07 BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0) BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Fatigue Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08). Fatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance. Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08). Fatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance. Neutropenia: Neutropenia status was available for 5,886 patients, of whom 1,456 (25 %) recorded neutropenia grade ≥3 over the course of their entire chemotherapy treatment; 4,430 (75 %) did not. After adjusting for the base model prognostic factors, neutropenia remained a statistically significant, independent predictor of RFS (HR = 0.86; 95 % CI, 0.76–0.97; P = 0.02), with a similar trend seen for BCSS (HR = 0.87; 95 % CI, 0.75–1.01; P = 0.06). The association was strengthened after further adjustment for DI (BCSS: HR = 0.85; 95 % CI, 0.73–0.98; P = 0.03; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.005). Patients with grade ≥3 neutropenia were likely to survive and remain relapse free for longer when compared to patients who experienced grades ≤2. Neutropenia appeared unrelated to triple negative status (P = 0.85), ER status (P = 0.46), and HER2 status (P = 0.36). Underweight and normal BMI patients were more likely to record severe neutropenia during their treatment course than overweight or obese BMI patients (27 % vs. 24 %, P = 0.008). Given the known association of increasing BMI with poor prognosis [17, 18], we repeated the analysis adjusting for BMI, to confirm that the relationship between neutropenia and RFS/BCSS was independent of BMI. Adjusting for BMI only marginally changed the results (BCSS: HR = 0.88; 95 % CI, 0.76–1.02; P = 0.08; RFS: HR = 0.87; 95 % CI, 0.77–0.98; P = 0.02). Adjustment for both DI and BMI simultaneously resulted in similar findings to when adjusting only for DI (BCSS: HR = 0.85; 95 % CI, 0.74–0.99; P = 0.04; RFS: HR = 0.84; 95 % CI, 0.74–0.95; P = 0.006). Underweight and normal patients were also more likely to report moderate-severe vomiting (grade ≥2, P = 0.009). Obese and overweight patients recorded more diarrhoea (grade ≥2, P = 0.02), infection (grade ≥2, P = 0.005), neuropathy (grade ≥2, P < 0.0001) and arthralgia/myalgia (grade ≥2, P = 0.002), but these CRTs were not associated with either improved or reduced survival. Older patients and post-menopausal patients were more likely to have neutropenia during their treatment course (28 % vs. 22 %, P <0.0001 and 28 % vs. 22 %, P <0.0001, respectively). The extent of neutropenia experienced by the study cohort was not influenced by the use of prophylactic growth colony stimulating factor (GCSF). GCSF was not routinely given as prophylaxis as part of the trial protocol of any of the study trials. GCSF use was allowed secondary to an admission for febrile neutropenia and/or based on clinical judgement. However, only in 9 % of patients was the use of GCSF ever reported. It is unlikely, therefore, that this would have a significant impact on the overall results shown. As previous studies [19] have classified neutropenia as no neutropenia versus any (grade 0 vs. ≥1), we repeated the neutropenia analysis using this classification (Table 3). The multivariable analysis demonstrated a statistically significant association between neutropenia and BCSS (HR = 0.87; 95 % CI, 0.77–0.99; P = 0.03) with a similar trend for RFS (HR = 0.91; 95 % CI, 0.82–1.01; P = 0.07).Table 3Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0)Toxicityn (univariable analysis)n (multivariable analysis)BCSSRFSUnadjustedAdjustedUnadjustedAdjustedHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueHR (95 % CI) P valueNeutropenia5,8865,2110.86 (0.77–0.96)0.0090.87 (0.77–0.99)0.030.91 (0.83–0.99)0.040.91 (0.82–1.01)0.07 BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Analysis of neutropenia across all treatments (classification National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) grade ≥1 vs. grade 0) BCSS Breast cancer-specific survival; RFS Relapse-free survival; HR Hazard ratio; CI, Confidence interval Fatigue: Fatigue status was available for 6,248 patients, of whom 855 (14 %) recorded fatigue grades ≥3 at some point in their chemotherapy treatment whereas 5,393 (86 %) did not. Fatigue was associated with poorer BCSS and RFS in the univariable models, but the associations were attenuated and no longer significant after adjusting for other prognostic variables (BCSS: HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06; RFS: HR = 1.13; 95 % CI, 0.99–1.30; P = 0.08). Fatigue appeared unrelated to BMI (P = 0.76), triple negative status (P = 0.50), HER2 status (P = 0.86), age (P = 0.33), menopausal status (P = 0.27), and GCSF administration (P = 0.89). ER negative patients may be more likely to be classed as a fatigue case during their treatment course (15 % vs. 13 % of ER positive patients, P = 0.06), although this was not statistically significant at the P = 0.05 threshold and may not be of clinical significance. CRTs of interest during specific chemotherapy regimen components: In order to identify if CRTs reported during particular combination chemotherapy treatments were associated with increased or decreased RFS and BCSS, the analysis was repeated considering only the maximum NCI CTCAE grade documented during a specific chemotherapy regimen, rather the maximum NCI CTCAE grade across all chemotherapy treatments (Additional file 1: Table S4). Neutropenia Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99). Neutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively). Furthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens. Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99). Neutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively). Furthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens. Fatigue Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7). Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7). Neutropenia: Patients who experienced neutropenia grade ≥3 whilst receiving epirubicin and cyclophosphamide (EC) as their first chemotherapy component (drug regimen 4) were significantly more likely to survive and remain relapse free than those who did not (BCSS: HR = 0.83; 95 % CI, 0.69–1.00; P = 0.05; RFS: HR = 0.85; 95 % CI, 0.73–0.99; P = 0.04) (Additional file 1: Table S4). However, experiencing neutropenia grade ≥3 whilst receiving T ± G as their second chemotherapy component (having already received EC, drug regimen 5) was not significantly associated with outcome (BCSS: HR = 1.07; 95 % CI, 0.83–1.37; P = 0.62; RFS: HR = 1.00; 95 % CI, 0.80–1.24; P = 0.99). Neutropenia grade ≥3 being reported either during T ± G as a first chemotherapy component, or during EC as the second chemotherapy component (after T ± G) was not significantly associated with outcome (drug regimens 6 and 7), although the numbers of patients in these datasets were small (n = 270 and 260, respectively). Furthermore, when drug regimens 4 (CRT recorded in EC, as the first chemotherapy) and 7 (CRT recorded in EC, as the second chemotherapy after T ± G) were combined to create a sample consisting of all tAnGo and Neo-tAnGo patients receiving EC at any cycle of their treatment, severe neutropenia was significantly associated with both increased BCSS (HR = 0.83; 95 % CI, 0.69–0.99; P = 0.04) and RFS (HR = 0.84; 95 % CI, 0.73–0.98; P = 0.03). Neutropenia was not a significant predictor of survival for tAnGo and Neo-tAnGo patients when it occurred during T ± G regimens. Fatigue: Patients experiencing moderate-severe fatigue whilst receiving epirubicin (E) as their first chemotherapy component (drug regimen 1) had significantly worse outcomes (BCSS: HR = 1.48; 95 % CI, 1.03–2.12; P = 0.03; RFS: HR = 1.34; 95 % CI, 0.97–1.85); P = 0.07) than those who did not record moderate-severe fatigue. Similarly, patients reporting severe fatigue during the period they received CMF as their second chemotherapy component (after completing E; drug regimen 2), had reduced BCSS (HR = 1.61; 95 % CI, 1.13–2.30; P = 0.009) and RFS (HR = 1.39; 95 % CI, 1.01–1.92; P = 0.05). Interestingly, this strong effect was not seen for NEAT and BR9601 patients receiving CMF only (drug regimen 3). Fatigue was not a significant predictor of survival for tAnGo and Neo-tAnGo patients on EC and T ± G (Additional file 1: Table S4: drug regimens 4–7). Discussion: We have investigated the association between 13 CRTs and clinical outcome (RFS and BCSS) in 6,248 patients with early breast cancer treated within randomised clinical trials of neoadjuvant and adjuvant chemotherapy. The majority of CRTs were not associated with either RFS or BCSS. However, we have demonstrated that severe neutropenia (grades ≥3) is associated with improved RFS. In addition, after re-classification of neutropenia case status to grades ≥1, the association with BCSS remains. Previous studies investigating the relationship between neutropenia and survival have hypothesised that neutropenia is a reflection of chemotherapy efficacy and activity. This implies that patients who are not achieving neutropenia may also not be receiving an effective or adequately active dose [18]. It must be noted that, in this study, 13 separate CRTs have been tested against two clinical endpoints of BCSS and RFS and, as such, the study findings must be considered whilst bearing in mind the issue of multiple testing. Patients with normal or underweight BMI are more likely to have severe neutropenia during their treatment course in comparison to overweight or obese BMI patients (P = 0.008). In obese patients, due to an increase in the amount of fat contributing to the actual weight and potentially changes in blood flow, the pharmacokinetics of chemotherapy may be affected. This may affect volume of distribution, clearance, and, consequently, patient drug exposure. Thus, overweight or obese BMI patients may not be receiving an adequate dose, although further investigations would be required to confirm this. The disadvantages of using body surface area (BSA) to dose patients have been discussed at length elsewhere [20–22]. Drug disposition can show 4–10-fold inter-individual variability, which is inadequately compensated for by using BSA. There is a strong argument to include other variables to allow more accurate dose estimation for each individual. Bergh et al. [23] conducted a randomised trial comparing high-dose chemotherapy versus haematologically-tailored adjuvant chemotherapy to assess the effect on RFS and overall survival. The haematologically-tailored arm specified that participants experienced pre-defined levels of haematological toxicities. This study demonstrated that tailored chemotherapy rather than high-dose chemotherapy showed improved RFS. One shortcoming of this study was that it used high-dose chemotherapy as the ‘control’ arm, which is not the current standard treatment for early breast cancer. Lindeman et al. [24] conducted a trial using haematological criteria for selecting dosing strategy. Study results, available in abstract form only, did not show a statistically significant improvement in survival with tailored-chemotherapy compared with standard BSA-based chemotherapy. However, both distant DFS and DFS showed trends towards a better outcome for the tailored chemotherapy arm. Our results show that chemotherapy-induced neutropenia is an additional prognostic factor for longer-term outcomes, and we suggest that this could be tested in trials randomising between personalising chemotherapy within an adaptive protocol and standard chemotherapy dosing. Interestingly, trials in which doses of cyclophosphamide and doxorubicin were increased (NSABP B22 [25], NSABP B25 [26], and CALGB 9344 [27]) did not show benefit in long-term outcomes. However, dose-dense trials which increased the frequency of chemotherapy dosing with filgrastim support (CALGB 9741 [28] and a 10-study meta-analysis [29]) have shown improvement in longer-term outcomes. The authors of CALGB 9741 stated that it was their impression that the improvements seen in CALGB 9741 were as a result of the more frequent administration of chemotherapy, and that use of filgrastim did not by itself add to the efficacy of dose-dense treatment [30]. These trials have applied dose intensification with filgrastim support, which has abrogated any ‘signal’ from neutropenia; in fact, they have usually shown less febrile neutropenia and neutropenic sepsis in the dose-dense arm. In our study, we have looked at the prognostic effect of developing neutropenia in trials which have used standard chemotherapy dosing without routine filgrastim support. Future trials would need to establish whether adapting doses to achieve neutropenia would improve outcomes. Our hypothesis is that host factors (such as pharmacodynamic and pharmacogenomic factors) influence the level of chemotherapy-induced neutropenia, and only those patients who do not achieve neutropenia with standard doses may benefit from intensification of chemotherapy. The evidence would suggest that adapting to a dose-dense protocol may be the most effective way to intensify chemotherapy. The results show that patients achieving grade ≥1 have a statistically significant survival advantage. This allows the possibility of using a simple standard haematological measurement to adjust dose, whereby dose is adjusted until neutropenia NCI CTCAE grade ≥1 is achieved, after which treatment would be maintained at the same dosing level. The potential mechanisms that may explain why chemotherapy-induced neutropenia is associated with improved survival include neutropenia as a marker of cancer stem cell death [22, 31]. Other studies have proposed that neutrophils may be involved in the control of the microenvironment in sites of metastatic spread [32–34]. Chia et al. [35] comment that toxicity and clinical outcome may be more likely to correlate when the therapeutic agent targets the biological driver of the disease directly, for example, sunitinib-associated hypertension [36]. Although the mechanism behind the association between chemotherapy-induced neutropenia and clinical outcome is unclear, this study, in conjunction with previously published data [2-4], provides strong evidence that this association is real and clinically relevant. Moderate-severe fatigue (NCI CTCAE ≥2) may be associated with a reduced BCSS. This effect was significant in the univariable analysis of fatigue across all treatments (HR = 1.24; 95 % CI, 1.07–1.43; P = 0.004) but on multivariable analysis BCSS (HR = 1.17; 95 % CI, 0.99–1.37; P = 0.06) became less significant. However, analysis of the treatment regimens showed that there was a statistically significant association between moderate-severe fatigue and BCSS in patients treated with ECMF (Additional file 1: Table S4). The patient characteristics across all the trials is similar, although 20 % of patients in NEAT and BR9601 had fatigue classified as grade ≥2, in comparison to only 10 % in tAnGo and Neo-tAnGo. It is notable that 18 % of NEAT and BR9601 had a pre-treatment PS ≥1, in comparison to only 8 % and 4 % of tAnGo and Neo-tAnGo patients, respectively (Additional file 1: Table S1). Trial eligibility criteria required that patients must have a PS ≤2. It is unclear whether this difference in baseline PS alone accounts for the increased levels of moderate-severe fatigue seen in NEAT and BR9601; however, reduced pre-treatment PS would be likely to increase the risk of severe fatigue during treatment [10, 11]. Conclusions: This large and comprehensive study has shown a statistically significant association between improved survival and neutropenia (using toxicity classification NCI CTCAE ≥1 or ≥3). This association is clinically relevant and has the potential to be further tested in neutropenia-adapted treatment regimens within clinical trials to assess its potential to improve clinical outcome. This study shows that patients with normal or reduced BMI experience greater rates of neutropenia in comparison to overweight and obese patients. This is particularly relevant in populations where increasing levels of obesity may mean that a significant proportion of breast cancer patients are receiving sub-optimal chemotherapy doses. This study also indicates that chemotherapy-induced fatigue may be an indicator of poor clinical outcome. Patients’ pre-treatment performance status needs to be adequately assessed and levels of treatment-induced fatigue need to be carefully monitored and moderated. Availability of data and materials: Data supporting these findings is held by the Trial Management Group for PGSNPS study, where the original concept for this analysis was designed. Any access requires appropriate ethical approvals and would be assessed by the Trial Management Group which includes the respective Chief Investigators of the clinical trials and PGSNPS, and would require a specific Data Transfer Agreement.
Background: The relationship between chemotherapy-related toxicities and prognosis is unclear. Previous studies have examined the association of myelosuppression parameters or neuropathy with survival and reported conflicting results. This study aims to investigate 13 common chemotherapy toxicities and their association with relapse-free survival and breast cancer-specific survival. Methods: Chemotherapy-related toxicities were collected prospectively for 6,248 women with early-stage breast cancer from four randomised controlled trials (NEAT; BR9601; tAnGo; Neo-tAnGo). Cox proportional-hazards modelling was used to analyse the association between chemotherapy-related toxicities and both breast cancer-specific survival and relapse-free survival. Models included important prognostic factors and stratified by variables violating the proportional hazards assumption. Results: Multivariable analysis identified severe neutropenia (grades ≥3) as an independent predictor of relapse-free survival (hazard ratio (HR) = 0.86; 95% confidence interval (CI), 0.76-0.97; P = 0.02). A similar trend was seen for breast cancer-specific survival (HR = 0.87; 95% CI, 0.75-1.01; P = 0.06). Normal/low BMI patients experienced more severe neutropenia (P = 0.008) than patients with higher BMI. Patients with fatigue (grades ≥3) showed a trend towards reduced survival (breast cancer-specific survival: HR = 1.17; 95% CI, 0.99-1.37; P = 0.06). In the NEAT/BR9601 sub-group analysis by treatment component, this effect was statistically significant (HR = 1.61; 95% CI, 1.13-2.30; P = 0.009). Conclusions: This large study shows a significant association between chemotherapy-induced neutropenia and increased survival. It also identifies a strong relationship between low/normal BMI and increased incidence of severe neutropenia. It provides evidence to support the development of neutropenia-adapted clinical trials to investigate optimal dose calculation and its impact on clinical outcome. This is important in populations where obesity may lead to sub-optimal chemotherapy doses.
Background: Chemotherapy-related toxicities (CRTs) are a common complication of treatment in all cancers. For each CRT, multiple factors contribute to their development, including pharmacogenetic and co-morbidity factors [1]. The relationship between the occurrence of various CRTs and subsequent survival has been investigated in relatively small cohorts in multiple tumour types with conflicting results. A CRT may be a proxy pharmacokinetic parameter, indicating the level of drug exposure, dose density delivered and/or metabolic activity, or it may be a proxy pharmacodynamic parameter that reflects the sensitivity and susceptibility of different tissues to chemotherapy. Many studies in different tumour types have investigated the association between survival and measures of myelosuppression. Eskander et al. [2] reviewed seven breast cancer studies with inter-study heterogeneity in trial design and varying toxicities, including leukocyte nadir, myelosuppression and neutropenia. The largest study [3] (n = 750), showed that patients with grade 2 or 3 neutropenia, on the National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI CTCAE) scale, had a 10 % absolute survival advantage at 5 years compared to those with no neutropenia (multivariable P = 0.037). Shitara et al. [4] performed a meta-analysis of 13 trials (n = 9,528) considering several different toxicities, varying tumour types, stages of disease, and thresholds of NCI CTCAE classification and concluded that neutropenia or leukopenia experienced during chemotherapy was associated with improved survival. The association between survival and taxane-related sensory neuropathy in breast cancer patients has been explored previously. Schneider et al. [5] investigated 4,554 patients from a randomised controlled clinical trial and found no significant relationship between neuropathy and disease-free survival (DFS), overall survival, or relapse-free survival (RFS). However, Moreno-Aspitia et al. [6] did report an association of taxane-related sensory neuropathy with DFS in early stage, taxane-treated, human epidermal growth factor (HER2)-positive breast cancer patients. In ovarian cancer, Lee et al. [7] found that sensory neuropathy secondary to treatment with paclitaxel and carboplatin was associated with improved progression-free survival (n = 949). Moderate and/or severe oral mucositis was associated with improved survival in one study [8] (n = 533). Another study associated oral mucositis with an increased risk of infection and an adverse impact on survival [9]. Although there is considerable data on the impact of fatigue on quality of life [10, 11] in early stage breast cancer, there is no published evidence on the prognostic significance of chemotherapy-induced fatigue in early stage disease. We have investigated the association between 13 common CRTs and RFS and breast cancer-specific survival (BCSS) in patients (n = 6,248) with early stage breast cancer using data from randomised controlled trials with prospective protocol-driven collection of CRTs. Conclusions: This large and comprehensive study has shown a statistically significant association between improved survival and neutropenia (using toxicity classification NCI CTCAE ≥1 or ≥3). This association is clinically relevant and has the potential to be further tested in neutropenia-adapted treatment regimens within clinical trials to assess its potential to improve clinical outcome. This study shows that patients with normal or reduced BMI experience greater rates of neutropenia in comparison to overweight and obese patients. This is particularly relevant in populations where increasing levels of obesity may mean that a significant proportion of breast cancer patients are receiving sub-optimal chemotherapy doses. This study also indicates that chemotherapy-induced fatigue may be an indicator of poor clinical outcome. Patients’ pre-treatment performance status needs to be adequately assessed and levels of treatment-induced fatigue need to be carefully monitored and moderated.
Background: The relationship between chemotherapy-related toxicities and prognosis is unclear. Previous studies have examined the association of myelosuppression parameters or neuropathy with survival and reported conflicting results. This study aims to investigate 13 common chemotherapy toxicities and their association with relapse-free survival and breast cancer-specific survival. Methods: Chemotherapy-related toxicities were collected prospectively for 6,248 women with early-stage breast cancer from four randomised controlled trials (NEAT; BR9601; tAnGo; Neo-tAnGo). Cox proportional-hazards modelling was used to analyse the association between chemotherapy-related toxicities and both breast cancer-specific survival and relapse-free survival. Models included important prognostic factors and stratified by variables violating the proportional hazards assumption. Results: Multivariable analysis identified severe neutropenia (grades ≥3) as an independent predictor of relapse-free survival (hazard ratio (HR) = 0.86; 95% confidence interval (CI), 0.76-0.97; P = 0.02). A similar trend was seen for breast cancer-specific survival (HR = 0.87; 95% CI, 0.75-1.01; P = 0.06). Normal/low BMI patients experienced more severe neutropenia (P = 0.008) than patients with higher BMI. Patients with fatigue (grades ≥3) showed a trend towards reduced survival (breast cancer-specific survival: HR = 1.17; 95% CI, 0.99-1.37; P = 0.06). In the NEAT/BR9601 sub-group analysis by treatment component, this effect was statistically significant (HR = 1.61; 95% CI, 1.13-2.30; P = 0.009). Conclusions: This large study shows a significant association between chemotherapy-induced neutropenia and increased survival. It also identifies a strong relationship between low/normal BMI and increased incidence of severe neutropenia. It provides evidence to support the development of neutropenia-adapted clinical trials to investigate optimal dose calculation and its impact on clinical outcome. This is important in populations where obesity may lead to sub-optimal chemotherapy doses.
19,547
405
[ 2670, 541, 197, 54, 531, 2630, 891, 234, 1249, 379, 212 ]
16
[ "95", "ci", "95 ci", "patients", "neutropenia", "hr", "rfs", "bcss", "grade", "chemotherapy" ]
[ "significance chemotherapy induced", "chemotherapy regimen components", "dose chemotherapy versus", "pharmacokinetics chemotherapy", "chemotherapy related toxicities" ]
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[CONTENT] Adverse events | Breast cancer | Chemotherapy | Prognosis | Survival | Toxicity [SUMMARY]
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[CONTENT] Adverse events | Breast cancer | Chemotherapy | Prognosis | Survival | Toxicity [SUMMARY]
[CONTENT] Adverse events | Breast cancer | Chemotherapy | Prognosis | Survival | Toxicity [SUMMARY]
[CONTENT] Adverse events | Breast cancer | Chemotherapy | Prognosis | Survival | Toxicity [SUMMARY]
[CONTENT] Adverse events | Breast cancer | Chemotherapy | Prognosis | Survival | Toxicity [SUMMARY]
[CONTENT] Antineoplastic Agents | Breast Neoplasms | Case-Control Studies | Chemotherapy, Adjuvant | Cohort Studies | Disease-Free Survival | Female | Humans | Middle Aged | Prognosis [SUMMARY]
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[CONTENT] Antineoplastic Agents | Breast Neoplasms | Case-Control Studies | Chemotherapy, Adjuvant | Cohort Studies | Disease-Free Survival | Female | Humans | Middle Aged | Prognosis [SUMMARY]
[CONTENT] Antineoplastic Agents | Breast Neoplasms | Case-Control Studies | Chemotherapy, Adjuvant | Cohort Studies | Disease-Free Survival | Female | Humans | Middle Aged | Prognosis [SUMMARY]
[CONTENT] Antineoplastic Agents | Breast Neoplasms | Case-Control Studies | Chemotherapy, Adjuvant | Cohort Studies | Disease-Free Survival | Female | Humans | Middle Aged | Prognosis [SUMMARY]
[CONTENT] Antineoplastic Agents | Breast Neoplasms | Case-Control Studies | Chemotherapy, Adjuvant | Cohort Studies | Disease-Free Survival | Female | Humans | Middle Aged | Prognosis [SUMMARY]
[CONTENT] significance chemotherapy induced | chemotherapy regimen components | dose chemotherapy versus | pharmacokinetics chemotherapy | chemotherapy related toxicities [SUMMARY]
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[CONTENT] significance chemotherapy induced | chemotherapy regimen components | dose chemotherapy versus | pharmacokinetics chemotherapy | chemotherapy related toxicities [SUMMARY]
[CONTENT] significance chemotherapy induced | chemotherapy regimen components | dose chemotherapy versus | pharmacokinetics chemotherapy | chemotherapy related toxicities [SUMMARY]
[CONTENT] significance chemotherapy induced | chemotherapy regimen components | dose chemotherapy versus | pharmacokinetics chemotherapy | chemotherapy related toxicities [SUMMARY]
[CONTENT] significance chemotherapy induced | chemotherapy regimen components | dose chemotherapy versus | pharmacokinetics chemotherapy | chemotherapy related toxicities [SUMMARY]
[CONTENT] 95 | ci | 95 ci | patients | neutropenia | hr | rfs | bcss | grade | chemotherapy [SUMMARY]
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[CONTENT] 95 | ci | 95 ci | patients | neutropenia | hr | rfs | bcss | grade | chemotherapy [SUMMARY]
[CONTENT] 95 | ci | 95 ci | patients | neutropenia | hr | rfs | bcss | grade | chemotherapy [SUMMARY]
[CONTENT] 95 | ci | 95 ci | patients | neutropenia | hr | rfs | bcss | grade | chemotherapy [SUMMARY]
[CONTENT] 95 | ci | 95 ci | patients | neutropenia | hr | rfs | bcss | grade | chemotherapy [SUMMARY]
[CONTENT] survival | early stage | cancer | early | stage | types | tumour types | sensory | sensory neuropathy | taxane [SUMMARY]
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[CONTENT] 95 | ci | 95 ci | hr | neutropenia | bcss | grade | patients | rfs | 99 [SUMMARY]
[CONTENT] relevant | levels | potential | induced fatigue | clinical outcome | induced | study | neutropenia | clinical | patients [SUMMARY]
[CONTENT] 95 | ci | 95 ci | hr | neutropenia | patients | chemotherapy | bcss | rfs | fatigue [SUMMARY]
[CONTENT] 95 | ci | 95 ci | hr | neutropenia | patients | chemotherapy | bcss | rfs | fatigue [SUMMARY]
[CONTENT] ||| ||| 13 [SUMMARY]
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[CONTENT] 0.86 | 95% | CI | 0.76-0.97 | 0.02 ||| 0.87 | 95% | CI | 0.75 | P =  | 0.06 ||| BMI | 0.008 | BMI ||| 1.17 | 95% | CI | 0.99 | P =  | 0.06 ||| NEAT | 1.61 | 95% | CI | 1.13 | P =  | 0.009 [SUMMARY]
[CONTENT] ||| BMI ||| ||| [SUMMARY]
[CONTENT] ||| ||| 13 ||| 6,248 | four | NEAT | BR9601 | Neo ||| ||| ||| ||| 0.86 | 95% | CI | 0.76-0.97 | 0.02 ||| 0.87 | 95% | CI | 0.75 | P =  | 0.06 ||| BMI | 0.008 | BMI ||| 1.17 | 95% | CI | 0.99 | P =  | 0.06 ||| NEAT | 1.61 | 95% | CI | 1.13 | P =  | 0.009 ||| ||| BMI ||| ||| [SUMMARY]
[CONTENT] ||| ||| 13 ||| 6,248 | four | NEAT | BR9601 | Neo ||| ||| ||| ||| 0.86 | 95% | CI | 0.76-0.97 | 0.02 ||| 0.87 | 95% | CI | 0.75 | P =  | 0.06 ||| BMI | 0.008 | BMI ||| 1.17 | 95% | CI | 0.99 | P =  | 0.06 ||| NEAT | 1.61 | 95% | CI | 1.13 | P =  | 0.009 ||| ||| BMI ||| ||| [SUMMARY]
Reference values of gait parameters measured with a plantar pressure platform in community-dwelling older Japanese adults.
31371932
Gait measures such as gait speed, stride length, step width, and stance duration change with advanced age and are associated with adverse health outcomes among older adults. The stride-to-stride variabilities of gait measures are also related to falls and cognitive decline in older adults; however, reference values of these gait parameters in older Japanese adults do not exist. This study aimed to determine the reference values of gait parameters as measured by a plantar pressure platform in community-dwelling older Japanese adults.
BACKGROUND
Community-dwelling adults (N=1,212) who were independent in basic activities of daily living and aged 70-96 years (491 men, 721 women) completed the gait performance measurement in a geriatric health assessment. We assessed 10 gait performance measures with a plantar pressure platform system (P-WALK, BTS Bioengineering) and calculated means and coefficient of variations (CVs) of the gait measures as well as quintiles for those gait parameters per age group among men and women.
METHODS
Mean (SDs) of gait speed, stride length, step width, and stance durations were 1.26 (0.24) meters per second (m/s), 121.9 (19.8) cm, 24.0 (3.2) cm, and 552.4 (60.4) milliseconds (ms), respectively, in men, and 1.27 (0.21) m/s, 115.7 (16.3) cm, 17.9 (2.8) cm, and 517.6 (59.8) ms, respectively, in women. Mean of CVs (SD) of stride length, step width, and single-stance duration were 2.76 (1.35), 12.06 (3.98), and 5.74 (2.66), respectively, in men and 2.69 (1.24), 15.65 (4.53), and 5.77 (2.40), respectively, in women. Gait parameters (except CVs of step width) declined significantly with age regardless of gender (P< 0.01 for trends).
RESULTS
This study determined age group dependent gait parameter reference values, presented as means with quintile ranges, in community-dwelling older Japanese adults. These reference values may be useful metrics for gait assessment in the elderly.
CONCLUSION
[ "Accidental Falls", "Activities of Daily Living", "Aged", "Aged, 80 and over", "Cognitive Dysfunction", "Female", "Geriatric Assessment", "Humans", "Independent Living", "Japan", "Male", "Motor Activity", "Reference Values", "Residence Characteristics", "Walking Speed" ]
6636431
Introduction
Gait speed is an important measure that can predict adverse health outcomes such as disability,1 death,2 and functional dependence3 in older individuals. Gait speed is determined by step length and step frequency, and especially gait speed and step length decrease with advanced age.4,5 Other gait parameters, such as step width, foot angle, stance duration, and double-stance duration, are also suggested to change with age.6,7 Cadence, stride length, and double-stance duration are also correlated with gait speed.8 Gait parameters are associated with falls among older individuals. A systematic review suggested that step length, gait speed, stride length, and stance-time variability were more sensitive than other gait parameters for differentiating fallers from non-fallers among older individuals.9 Gait variability is defined as a variation of stride-to-stride gait parameters, which is usually assessed by SD or coefficient of variation (CV) of the gait parameters in each step.10,11 Many studies have reported that gait parameter variabilities are associated with fall risks and mobility disability.11–13 Moreover, several studies have reported that gait speed and step length predict cognitive decline.14–16 A recent study investigated the association between gait parameter and cognitive status with falls since falls are prevalent in individuals with cognitive decline.17 Gait parameters are also utilized to assess frailty18 and to evaluate effectiveness of physical improvement by exercise.19 Reference values for gait parameters could be utilized by researchers to determine cut-off values when examining the impact of gait parameters on adverse health outcomes as described above. Additionally, these values may provide valuable assistance to clinicians to establish normal value ranges and for assessment of clinical intervention effects. Several studies proposed reference values of gait parameter, such as gait speed and step length,20–22 spatio-temporal parameters,23 and planter pressure,;24,25 however, no studies have reported data concerning older Japanese adults. Moreover, only a few studies showed the reference value of the variability of such gait parameters.23 This study thus aimed to clarify the gait parameters that decline with advanced age and to determine the reference values of those gait parameters in community-dwelling older Japanese adults.
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Conclusions
This study determined reference values of the gait parameters measured by a plantar pressure platform in community-dwelling older Japanese adults. These reference values would be useful for gait assessment in the elderly.
[ "Methods", "Participants", "Gait performance measurement", "Statistical analyses", "Results", "Discussion", "Conclusions" ]
[ " Participants Data were collected as part of a community-wide survey in Itabashi ward, Tokyo, Japan.26 Surveys were mailed to 7,614 adults aged 70 years or older who were listed in the basic resident register of which 5,430 participants responded (response rate of 71.3%). Respondents were provided the opportunity for a preventive health check-up at a survey location. Of the initial survey respondents a total of 1,248 participants underwent a geriatric assessment (response rate of 23.0%). Ultimately, 1,212 participants aged 70–96 years (491 men, 721 women; both mean age =77.1 years), who completed the gait performance measurement without a cane and were independent in any five basic activities of daily living (ADLs; which included bathing, dressing, walking, eating, and continence) were included in the analyses.\nAge, body height, body weight, history of chronic disease (which included hypertension, stroke, heart disease, diabetes, or osteoarthritis), hip/knee pain, depression, and Parkinson’s disease were assessed to determine participant characteristics. History of disease and pain were confirmed in face-to-face interviews by physicians or nurses. In addition, cognitive function of participants was assessed using the Mini-Mental State Examination (MMSE), which was administrated by well-trained personnel.\nThis study was conducted in accordance with the Declaration of Helsinki and all participants provided written, informed consent prior to their participation in the study. The ethics committee of the Tokyo Metropolitan Institute of Gerontology approved this study.\nData were collected as part of a community-wide survey in Itabashi ward, Tokyo, Japan.26 Surveys were mailed to 7,614 adults aged 70 years or older who were listed in the basic resident register of which 5,430 participants responded (response rate of 71.3%). Respondents were provided the opportunity for a preventive health check-up at a survey location. Of the initial survey respondents a total of 1,248 participants underwent a geriatric assessment (response rate of 23.0%). Ultimately, 1,212 participants aged 70–96 years (491 men, 721 women; both mean age =77.1 years), who completed the gait performance measurement without a cane and were independent in any five basic activities of daily living (ADLs; which included bathing, dressing, walking, eating, and continence) were included in the analyses.\nAge, body height, body weight, history of chronic disease (which included hypertension, stroke, heart disease, diabetes, or osteoarthritis), hip/knee pain, depression, and Parkinson’s disease were assessed to determine participant characteristics. History of disease and pain were confirmed in face-to-face interviews by physicians or nurses. In addition, cognitive function of participants was assessed using the Mini-Mental State Examination (MMSE), which was administrated by well-trained personnel.\nThis study was conducted in accordance with the Declaration of Helsinki and all participants provided written, informed consent prior to their participation in the study. The ethics committee of the Tokyo Metropolitan Institute of Gerontology approved this study.\n Gait performance measurement Gait performance was measured by P-WALK (Bioengineering, Milano, Italy) modular platforms system for plantar pressure measurement. Ten sensor plates were placed on a straight 5-m intermediate area of a walkway.26,27 Gait performance was recorded when participants walked at a normal pace in the sensor area of the walkway, with 3-m each at the beginning and the ending of the walkway. Participants walked on the walkway barefoot. Data were sampled at 50 Hz and processed by P-WALK software. Several previous studies have demonstrated the reliability of obtaining gait parameter measurements using a pressure platform device.28–30\nGait performance was measured twice, and the following 10 gait parameters were measured by the software: i) gait speed, ii) stride length, iii) step length, iv) step width, v) average foot pressure, vi) maximum foot pressure, vii) stance duration, viii) double-stance duration, ix) single-stance duration, and x) stride time (Figure 1). Foot angle and step surface were also measured in the P-WALK software. However, since those parameters are affected by individual gait characteristics, rather than age decline, they were excluded from the analysis. Gait speed was measured over the entire walk, while the other parameters were measured at each step. Plantar pressure were also normalized by body weight. Finally, we used the average of all steps between the left and right legs. We also calculated coefficient of variations (CVs) from each step for all parameters (except for gait speed). Although all the data of the complete steps were used for calculating the gait parameters, we excluded a step deemed to be intentionally adjusted when stepping on the first sensor mat from the calculation.Figure 1Example of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces.\nExample of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces.\nGait performance was measured by P-WALK (Bioengineering, Milano, Italy) modular platforms system for plantar pressure measurement. Ten sensor plates were placed on a straight 5-m intermediate area of a walkway.26,27 Gait performance was recorded when participants walked at a normal pace in the sensor area of the walkway, with 3-m each at the beginning and the ending of the walkway. Participants walked on the walkway barefoot. Data were sampled at 50 Hz and processed by P-WALK software. Several previous studies have demonstrated the reliability of obtaining gait parameter measurements using a pressure platform device.28–30\nGait performance was measured twice, and the following 10 gait parameters were measured by the software: i) gait speed, ii) stride length, iii) step length, iv) step width, v) average foot pressure, vi) maximum foot pressure, vii) stance duration, viii) double-stance duration, ix) single-stance duration, and x) stride time (Figure 1). Foot angle and step surface were also measured in the P-WALK software. However, since those parameters are affected by individual gait characteristics, rather than age decline, they were excluded from the analysis. Gait speed was measured over the entire walk, while the other parameters were measured at each step. Plantar pressure were also normalized by body weight. Finally, we used the average of all steps between the left and right legs. We also calculated coefficient of variations (CVs) from each step for all parameters (except for gait speed). Although all the data of the complete steps were used for calculating the gait parameters, we excluded a step deemed to be intentionally adjusted when stepping on the first sensor mat from the calculation.Figure 1Example of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces.\nExample of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces.\n Statistical analyses We used descriptive statistics to analyze participants. Differences in the variables between men and women were analyzed with unpaired t-tests and chi-square tests. The mean and SDs of all gait parameters were tabulated per 5-year age groups (70–74, 75–79, 80–84, and ≥85 years) for each gender. To evaluate linear trends in the means of gait parameters between age groups, we used weighted one-way analyses of variance by age groups. We also calculated quintiles (20th, 40th, 60th, and 80th percentiles) of each gait parameter by gender and each 5-year age group.31\nIBM SPSS statistics 25 (IBM Japan, Ltd., Tokyo, Japan) was used for all analyses. Statistical significance was set at 5%.\nWe used descriptive statistics to analyze participants. Differences in the variables between men and women were analyzed with unpaired t-tests and chi-square tests. The mean and SDs of all gait parameters were tabulated per 5-year age groups (70–74, 75–79, 80–84, and ≥85 years) for each gender. To evaluate linear trends in the means of gait parameters between age groups, we used weighted one-way analyses of variance by age groups. We also calculated quintiles (20th, 40th, 60th, and 80th percentiles) of each gait parameter by gender and each 5-year age group.31\nIBM SPSS statistics 25 (IBM Japan, Ltd., Tokyo, Japan) was used for all analyses. Statistical significance was set at 5%.", "Data were collected as part of a community-wide survey in Itabashi ward, Tokyo, Japan.26 Surveys were mailed to 7,614 adults aged 70 years or older who were listed in the basic resident register of which 5,430 participants responded (response rate of 71.3%). Respondents were provided the opportunity for a preventive health check-up at a survey location. Of the initial survey respondents a total of 1,248 participants underwent a geriatric assessment (response rate of 23.0%). Ultimately, 1,212 participants aged 70–96 years (491 men, 721 women; both mean age =77.1 years), who completed the gait performance measurement without a cane and were independent in any five basic activities of daily living (ADLs; which included bathing, dressing, walking, eating, and continence) were included in the analyses.\nAge, body height, body weight, history of chronic disease (which included hypertension, stroke, heart disease, diabetes, or osteoarthritis), hip/knee pain, depression, and Parkinson’s disease were assessed to determine participant characteristics. History of disease and pain were confirmed in face-to-face interviews by physicians or nurses. In addition, cognitive function of participants was assessed using the Mini-Mental State Examination (MMSE), which was administrated by well-trained personnel.\nThis study was conducted in accordance with the Declaration of Helsinki and all participants provided written, informed consent prior to their participation in the study. The ethics committee of the Tokyo Metropolitan Institute of Gerontology approved this study.", "Gait performance was measured by P-WALK (Bioengineering, Milano, Italy) modular platforms system for plantar pressure measurement. Ten sensor plates were placed on a straight 5-m intermediate area of a walkway.26,27 Gait performance was recorded when participants walked at a normal pace in the sensor area of the walkway, with 3-m each at the beginning and the ending of the walkway. Participants walked on the walkway barefoot. Data were sampled at 50 Hz and processed by P-WALK software. Several previous studies have demonstrated the reliability of obtaining gait parameter measurements using a pressure platform device.28–30\nGait performance was measured twice, and the following 10 gait parameters were measured by the software: i) gait speed, ii) stride length, iii) step length, iv) step width, v) average foot pressure, vi) maximum foot pressure, vii) stance duration, viii) double-stance duration, ix) single-stance duration, and x) stride time (Figure 1). Foot angle and step surface were also measured in the P-WALK software. However, since those parameters are affected by individual gait characteristics, rather than age decline, they were excluded from the analysis. Gait speed was measured over the entire walk, while the other parameters were measured at each step. Plantar pressure were also normalized by body weight. Finally, we used the average of all steps between the left and right legs. We also calculated coefficient of variations (CVs) from each step for all parameters (except for gait speed). Although all the data of the complete steps were used for calculating the gait parameters, we excluded a step deemed to be intentionally adjusted when stepping on the first sensor mat from the calculation.Figure 1Example of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces.\nExample of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces.", "We used descriptive statistics to analyze participants. Differences in the variables between men and women were analyzed with unpaired t-tests and chi-square tests. The mean and SDs of all gait parameters were tabulated per 5-year age groups (70–74, 75–79, 80–84, and ≥85 years) for each gender. To evaluate linear trends in the means of gait parameters between age groups, we used weighted one-way analyses of variance by age groups. We also calculated quintiles (20th, 40th, 60th, and 80th percentiles) of each gait parameter by gender and each 5-year age group.31\nIBM SPSS statistics 25 (IBM Japan, Ltd., Tokyo, Japan) was used for all analyses. Statistical significance was set at 5%.", "Descriptive statistics of age, chronic disease status, body height, body weight, body mass index, and gait parameters were shown in Table 1. The mean gait speed (SD) was 1.26 (0.24) meters per second (m/s) for men and 1.27 (0.21) m/s for women. There was a significant difference in the age distribution between genders. The percentage of those aged 70–74 years was significantly greater in men than in women, whereas the percentage of those aged 75–80 years was significantly greater in women than in men (Table 1). The prevalence of stroke, heart disease, and diabetes was significantly greater in men than in women. The prevalence of osteoarthritis and reporting knee pain was significantly greater in women than in men.Table 1Participants’ characteristicsVariableMean ±SD or n (%)P*Men (n=491)Women (n=721)Age (years)77.1 ± 5.077.1 ± 4.60.865Age group, n (%)0.034 70–74188 (38.3)238 (33.0) 75–80152 (31.0)275 (38.1) 80–84107 (21.8)160 (22.2) ≥8544 (9.0)48 (6.7)Chronic disease, n (%) Hypertension263 (53.7)363 (50.3)0.447 Stroke51 (10.5)49 (6.8)0.031 Heart disease124 (25.4)130 (18.1)0.007 Diabetes102 (20.8)71 (9.9)< 0.001 Osteoarthritis52 (10.6)191 (26.6)< 0.001 Hip pain180 (36.7)302 (42.1)0.063 Knee pain113 (23.0)247 (34.3)< 0.001 Depression9 (1.8)35 (4.9)0.895 Parkinson’s Disease3 (0.6)4 (0.6)< 0.001Height, cm163.4 ± 5.8150.1 ± 5.6< 0.001Weight, kg62.6 ± 8.851.3 ± 8.9< 0.001Body mass index, kg/m223.4 ± 2.922.7 ± 3.4< 0.001MMSE score, n (%)0.147 <2445 (9.3)50 (7.0) ≥24441 (90.7)668 (93.0)Gait measures Gait speed, m/s1.26 ± 0.241.27 ± 0.210.470 Stride length, cm121.9 ± 19.8115.7 ± 16.3< 0.001 Step length, cm60.8 ± 9.957.7 ± 8.1< 0.001 Step width, cm24.0 ± 3.217.9 ± 2.8< 0.001 Average foot pressure, kPa101.6 ± 10.996.6 ± 11.0< 0.001 Maximum foot pressure, kPa306.6 ± 41.9310.3 ± 41.10.127 Average foot pressure, kPa/kg1.65 ± 0.281.93 ± 0.34< 0.001 Maximum foot pressure, kPa/kg5.00 ± 1.016.21 ± 1.26< 0.001 Stance duration, ms552.4 ± 60.4517.6 ± 59.8< 0.001 Double-stance duration, ms65.7 ± 24.859.8 ± 24.4< 0.001 Single-stance duration, ms423.2 ± 33.7401.3 ± 30.7< 0.001 Stride time, ms975.3 ± 85.0918.7 ± 80.3< 0.001Coefficient of variations of gait measures Stride length2.76 ± 1.352.69 ± 1.240.393 Step length4.72 ± 2.064.45 ± 2.450.047 Step width12.06 ± 3.9815.65 ± 4.53< 0.001 Average foot pressure11.81 ± 4.3512.53 ± 3.870.003 Maximum foot pressure18.77 ± 5.4719.12 ± 5.010.244 Stance duration5.15 ± 2.215.18 ± 2.010.837 Double-stance duration31.30 ± 11.0834.19 ± 11.11< 0.001 Single-stance duration5.74 ± 2.665.77 ± 2.400.882 Stride time3.03 ± 1.293.25 ± 1.240.002Note: *Continuous variables: unpaired t-test, categorical variables: chi-square test.Abbreviations: ms, milliseconds; m/s, meters per second.\n\nParticipants’ characteristics\nNote: *Continuous variables: unpaired t-test, categorical variables: chi-square test.\nAbbreviations: ms, milliseconds; m/s, meters per second.\nStride and step length, step width, and average foot pressure were significantly larger in men than in women (Table 1). Temporal parameters included in stride time were significantly longer in men than in women. CVs of step width, average foot pressure, normalized average and maximum foot pressure, double-stance duration, and stride time were significantly greater in women than in men, whereas that of step length was significantly longer in men than in women.\nAmong men, the gait parameters (except for maximum foot pressure, normalized average foot pressure, single-stance duration, CVs of step width, stance duration, and stride time) showed significant declining trends with advanced age (Table 2). In women, step width, maximum foot pressure, normalized average foot pressure, single-stance duration, CVs of step width, and average foot pressure did not show significant declining trends per age (Table 3).Table 2Mean and SDs for gait parameters per age group among menVariableMean ± SDP for trend*OverallAge group70–7475–8080–84≥85(N=491)(n=188)(n=152)(n=107)(n=44)Height, cm163.4 ± 5.8163.9 ± 5.6164.2 ± 5.9162.4 ± 5.6160.8 ± 5.9< 0.001Weight, kg62.6 ± 8.863.3 ± 8.764.0 ± 8.660.9 ± 8.559.1 ± 9.70.001Gait measures Gait speed, m/s1.26 ± 0.241.32 ± 0.211.26 ± 0.251.23 ± 0.221.08 ± 0.23< 0.001 Stride length, cm121.9 ± 19.8127.0 ± 17.7121.5 ± 20.0118.9 ± 20.2108.4 ± 19.5< 0.001 Step length, cm60.8 ± 9.963.4 ± 8.860.6 ± 10.059.3 ± 10.154.2 ± 9.7< 0.001 Step width, cm24.0 ± 3.223.6 ± 3.023.8 ± 3.324.4 ± 3.125.3 ± 3.6< 0.001 Average foot pressure, kPa101.6 ± 10.9102.7 ± 10.8102.9 ± 10.3100.6 ± 11.294.8 ± 9.7< 0.001 Maximum foot pressure, kPa306.6 ± 41.9306.9 ± 40.9308.2 ± 41.3306.6 ± 44.1299.8 ± 43.60.477 Average foot pressure, kPa/kg1.65 0.281.65 0.271.63 0.271.68 0.301.65 0.330.558 Maximum foot pressure, kPa/kg5.00 1.014.94 0.944.90 0.925.14 1.095.23 1.310.029 Stance duration, ms552.4 ± 60.4545.2 ± 59.1551.3 ± 61.5552.2 ± 54.7587.8 ± 65.30.001 Double-stance duration, ms65.7 ± 24.860.6 ± 23.266.1 ± 23.166.9 ± 23.683.5 ± 31.5< 0.001 Single-stance duration, ms423.2 ± 33.7425.4 ± 32.2421.5 ± 32.8421.4 ± 34.9424.1 ± 40.20.471 Stride time, ms975.3 ± 85.0970.1 ± 83.7972.6 ± 87.2973.6 ± 78.31011.8 ± 92.30.031Coefficient of variations of gait measures Stride length2.76 ± 1.352.57 ± 1.192.76 ± 1.312.89 ± 1.613.20 ± 1.350.002 Step length4.72 ± 2.064.45 ± 2.054.80 ± 2.134.69 ± 1.935.68 ± 1.930.004 Step width12.06 ± 3.9812.33 ± 3.8511.99 ± 4.4211.76 ± 3.6511.82 ± 3.770.230 Average foot pressure11.81 ± 4.3511.19 ± 3.1411.87 ± 5.1612.34 ± 4.0613.01 ± 5.890.003 Maximum foot pressure18.77 ± 5.4718.03 ± 4.8119.01 ± 5.3219.07 ± 5.8920.36 ± 7.120.009 Stance duration5.15 ± 2.214.91 ± 2.085.31 ± 2.445.18 ± 1.735.59 ± 2.810.067 Double-stance duration31.30 ± 11.0832.30 ± 11.0331.54 ± 11.6730.69 ± 10.1627.63 ± 10.840.017 Single-stance duration5.74 ± 2.665.39 ± 2.525.79 ± 2.745.90 ± 2.576.73 ± 2.990.003 Stride time3.03 ± 1.292.90 ± 1.413.10 ± 1.283.10 ± 1.123.12 ± 1.220.155Note: *Weighted one-way analyses of variance by age groups.Abbreviations: ms, milliseconds; m/s, meters per second.\nTable 3Mean and SDs for gait parameters per age group among womenVariableMean ± SDP for trend*OverallAge group70–7475–8080–84≥85(N=721)(n=238)(n=275)(n=160)(n=48)Height, cm150.1 ± 5.6151.2 ± 5.2150.5 ± 5.6149.2 ± 5.2145.6 ± 6.1< 0.001Weight, kg51.3 ± 8.951.8 ± 10.051.7 ± 8.550.6 ± 7.547.7 ± 8.70.008Gait measures Gait speed, m/s1.27 ± 0.211.33 ± 0.201.30 ± 0.201.21 ± 0.211.06 ± 0.22< 0.001 Stride length, cm115.7 ± 16.3120.0 ± 14.3117.5 ± 15.0110.8 ± 15.9100.1 ± 20.4< 0.001 Step length, cm57.7 ± 8.159.9 ± 7.258.6 ± 7.555.3 ± 7.949.9 ± 10.2< 0.001 Step width, cm17.9 ± 2.817.7 ± 2.617.7 ± 2.818.2 ± 2.918.2 ± 3.60.082 Average foot pressure, kPa96.6 ± 11.098.6 ± 11.496.4 ± 10.195.5 ± 11.292.5 ± 12.1< 0.001 Maximum foot pressure, kPa310.3 ± 41.1308.3 ± 41.3310.7 ± 41.5313.0 ± 39.4308.5 ± 43.40.463 Average foot pressure, kPa/kg1.93 0.341.95 0.341.90 0.331.92 0.341.98 0.370.951 Maximum foot pressure, kPa/kg6.21 1.266.10 1.186.16 1.316.31 1.186.67 1.52< 0.001 Stance duration, ms517.6 ± 59.8509.8 ± 54.9514.0 ± 57.1524.6 ± 59.9553.5 ± 81.1< 0.001 Double-stance duration, ms59.8 ± 24.455.0 ± 19.758.4 ± 24.464.1 ± 22.477.0 ± 38.8< 0.001 Single-stance duration, ms401.3 ± 30.7403.3 ± 30.6400.3 ± 28.4400.3 ± 31.1400.7 ± 41.40.355 Stride time, ms918.7 ± 80.3913.3 ± 78.3913.7 ± 74.7924.8 ± 82.6954.1 ± 102.50.004Coefficient of variations of gait measures Stride length2.69 ± 1.242.54 ± 1.192.57 ± 1.182.95 ± 1.203.26 ± 1.65< 0.001 Step length4.45 ± 2.454.06 ± 1.844.33 ± 2.304.83 ± 1.965.88 ± 5.23< 0.001 Step width15.65 ± 4.5315.43 ± 4.2815.72 ± 4.4415.83 ± 4.9415.84 ± 4.960.367 Average foot pressure12.53 ± 3.8712.30 ± 3.6212.63 ± 4.2412.62 ± 3.6212.84 ± 3.770.296 Maximum foot pressure19.12 ± 5.0118.43 ± 4.8319.37 ± 4.8719.41 ± 5.0020.20 ± 6.320.010 Stance duration5.18 ± 2.015.03 ± 1.634.96 ± 1.685.72 ± 2.845.36 ± 1.870.004 Double-stance duration34.19 ± 11.1135.37 ± 11.2734.73 ± 11.2032.73 ± 10.5130.20 ± 10.600.001 Single-stance duration5.77 ± 2.405.67 ± 2.255.55 ± 1.926.06 ± 2.376.47 ± 4.630.017 Stride time3.25 ± 1.243.17 ± 1.213.19 ± 1.053.39 ± 1.433.59 ± 1.530.012Note: *Weighted one-way analyses of variance by age groups.Abbreviations: ms, milliseconds; m/s, meters per second.\n\nMean and SDs for gait parameters per age group among men\nNote: *Weighted one-way analyses of variance by age groups.\nAbbreviations: ms, milliseconds; m/s, meters per second.\nMean and SDs for gait parameters per age group among women\nNote: *Weighted one-way analyses of variance by age groups.\nAbbreviations: ms, milliseconds; m/s, meters per second.\nLastly, quintiles of the gait parameters, which were recognized with declining trends of advanced age among both genders, are shown in Tables 4 and 5.Table 4Quintiles of gait parameters per age group among menGait parameterPercentileAge group (years)Overall70–7475–8080–84≥85Gait measures Gait speed, m/s80th1.471.511.471.411.2360th1.331.391.341.301.1440th1.221.281.191.191.0520th1.051.161.001.020.87 Stride length, cm80th139.2141.1140.7134.4122.260th129.4134.4128.7124.5113.740th119.2125.6116.9115.6101.520th101.2113.398.5100.095.6 Step length, cm80th69.470.570.367.061.160th64.667.064.162.156.840th59.562.658.057.650.920th50.656.649.350.048.1 Step width, cm80th26.425.826.327.127.960th24.724.124.424.926.440th23.022.622.723.424.720th21.321.021.121.722.4 Average foot pressure, kPa/kg80th1.891.871.851.911.9260th1.701.721.671.721.7040th1.551.571.541.581.5120th1.411.411.411.411.36 Maximum foot pressure, kPa/kg80th5.825.765.715.886.5060th5.185.095.115.425.1740th4.634.644.554.714.5220th4.053.973.994.234.29 Stance duration, ms80th596.9594.5594.0595.6660.060th566.6554.8568.6570.2588.940th535.6524.1539.1535.6566.220th504.0501.3506.9502.4541.8 Double-stance duration, ms80th83.976.085.284.3105.560th68.063.368.670.087.940th57.954.358.358.873.320th45.041.446.344.754.7 Single-stance duration, ms80th448.3446.5448.6452.0455.760th431.2433.3430.8429.3437.940th415.0417.0415.0414.4411.720th395.7400.5396.5395.0388.0 Stride time, ms80th1041.21033.51045.01040.01093.360th993.9991.0993.8990.01017.140th948.6944.0955.0946.7983.620th910.0904.0910.0912.0924.8Coefficient of variations of gait measures Stride length80th3.683.553.593.794.1060th2.812.552.922.843.4240th2.232.092.232.342.8120th1.631.551.671.582.04 Step length80th6.155.736.416.087.1160th4.824.684.854.655.7340th3.893.603.884.014.7720th2.992.773.163.044.24 Step width80th14.9115.6314.6514.2414.7060th12.5913.0012.1012.2212.4840th10.7711.1210.4110.7710.1320th8.738.968.469.028.50 Average foot pressure80th14.1313.3214.1115.1214.9860th11.8311.5611.4612.4613.1140th10.3010.2810.1110.7210.7620th8.738.638.329.159.44 Maximum foot pressure80th22.8421.6723.4223.9424.3660th19.2518.3019.6019.4920.4340th16.8016.2017.3516.7718.8220th14.1913.9214.4514.6115.84 Stance duration80th6.005.666.096.406.7860th4.994.765.035.295.3540th4.334.264.344.454.6220th3.793.733.843.734.03 Double-stance duration80th39.8640.5240.9038.2035.9660th32.8734.8732.9231.5828.9640th27.4728.6227.2226.8426.0920th21.9722.8421.1622.2918.86 Single-stance duration80th7.126.776.927.359.9560th5.795.485.955.787.0740th4.874.684.844.875.3520th3.913.583.774.234.46 Stride time80th3.813.553.814.114.0560th3.122.903.313.123.3040th2.592.422.692.632.8420th2.112.022.162.242.12Abbreviations: ms, milliseconds; m/s, meters per second.\nTable 5Quintiles of gait parameters per age group among womenGait parameterPercentileAge group (years)Overall70–7475–8080–84≥85Gait measures Gait speed, m/s80th1.451.491.461.381.2760th1.341.371.361.261.1140th1.231.271.261.141.0320th1.101.171.161.050.93 Stride length, cm80th129.5132.9130.5126.0118.260th121.0122.6122.8115.3105.040th113.2116.3115.1108.297.520th102.2109.5104.196.787.3 Step length, cm80th64.666.365.262.859.060th60.461.261.357.452.740th56.458.157.354.048.520th51.254.652.048.443.5 Step width, cm80th20.119.919.620.820.860th18.318.318.218.718.440th16.917.116.916.917.320th15.615.615.515.615.4 Average foot pressure, kPa/kg80th2.192.182.192.192.2860th1.992.021.951.982.0140th1.821.841.801.791.8720th1.651.661.611.651.74 Maximum foot pressure, kPa/kg80th7.197.017.117.377.8860th6.426.226.346.636.8140th5.775.695.735.936.1620th5.175.135.115.255.34 Stance duration, ms80th555.0548.0545.0570.7592.160th525.5517.7518.2538.3552.040th498.6495.4497.0499.9527.720th474.4466.7476.0476.0496.3 Double-stance duration, ms80th73.468.272.581.685.660th61.857.160.468.272.540th51.447.449.657.662.220th40.038.040.044.155.0 Single-stance duration, ms80th426.3427.1424.0425.8438.860th408.0408.0407.0408.3412.040th394.1395.0393.3394.5397.120th376.4381.4377.7370.4370.0 Stride time, ms80th974.0967.5957.9988.01026.560th932.7924.2923.8950.0960.040th895.3892.0895.6895.0924.320th860.0855.7862.2854.1876.0Coefficient of variations of gait measures Stride length80th3.593.313.433.944.5760th2.752.552.643.083.1940th2.212.062.122.502.6120th1.671.621.591.932.14 Step length80th5.605.135.366.166.3660th4.444.094.214.915.3640th3.553.273.444.014.4720th2.892.672.833.273.32 Step width80th19.6118.9019.3720.3720.8260th16.4716.0416.7216.5917.0240th13.7413.6914.0513.6013.7420th11.7111.6911.9411.5812.53 Average foot pressure80th15.0514.7415.5615.0315.6260th12.6612.4512.5913.1112.8040th11.1911.2711.1811.1511.4320th9.639.649.529.6610.10 Maximum foot pressure80th23.2122.0723.6423.3323.8460th19.9719.3220.4920.1419.3240th17.4916.6517.9117.9917.5820th14.8814.1415.1215.1415.65 Stance duration80th6.136.045.886.716.8660th5.175.085.055.485.3740th4.534.444.524.894.5320th3.873.703.864.174.07 Double-stance duration80th42.5643.5343.2440.2840.5460th35.9537.1436.2734.7229.5340th30.6731.8531.4229.6027.0420th24.8626.0925.7323.3921.93 Single-stance duration80th7.006.706.937.417.9660th5.785.595.736.396.0640th4.984.874.865.305.1920th4.134.143.864.374.41Stride time80th4.103.864.144.184.5960th3.443.323.443.573.8540th2.802.782.772.962.7920th2.342.262.372.342.34Abbreviations: ms, milliseconds; m/s, meters per second.\n\nQuintiles of gait parameters per age group among men\nAbbreviations: ms, milliseconds; m/s, meters per second.\nQuintiles of gait parameters per age group among women\nAbbreviations: ms, milliseconds; m/s, meters per second.", "In this study, we obtained reference value data divided across quintiles for ten gait parameters and their associated CVs (except for gait speed) for a large sample set of community-dwelling older Japanese adults. There is ample need for such reference values since there are few studies that have either published reference values for gait parameters or examined stride-to-stride variability present across gait parameters. Although we did not examine the association between each gait parameter and any specific adverse health outcome, many epidemiological studies have demonstrated that gait parameters can predict adverse events in the elderly, including frailty,18 ADL disability,3 and cognitive decline.16 Therefore, the reference values obtained from this study could be used to compare the prevalence of adverse events across values to determine cut-off ranges for adverse event risk screening. Since gait is associated in the elderly with not only adverse health outcomes but also mortality in patients, such as in those with chronic heart disease,32 the gait parameter reference values obtained in this study may also be utilized for patient evaluation and classification. These reference values can be utilized to assess the effectiveness of interventions; determine the relationship between each gait level and the onset of future adverse health outcomes such as frailty, ADL disability, and dementia; and screen for these unfavorable outcomes. The reference values presented in this study would be useful for health assessment of not only Japanese but also Asian older adults.\nWe first examined the representativeness of the sample—whether the reference values shown in this study can be widely applied to predicting health outcomes and intervention assessments among community-dwelling older adults. The participants in this study were recruited from all residents across a community population, and approximately 16% of the total population participated in this study. Reasons for not participating in the study may have included inability to respond due to cognitive decline, or mobility issues that preventing arrival to the survey site. However, regardless of the reasons for lack of participation, the samples that comprised this study better represent community-dwelling older adults compared with studies where samples were recruited from an applicant pool or through significant extraction. Compared to the pooled data from cohort studies of community-dwelling older Japanese adults,21,31 where participants were recruited from all residents or through random sampling, this study was able to include more participants with age over 85 years old. However, the current participants were recruited from only one urban area. Since it has been suggested that the gait speed is affected by regional differences,33 comparison with other population recruited from other regions remains necessary.\nAlthough some previous studies reported gender differences in gait speed,20–23,31 we did not mirror these results. Moreover, the mean values of gait speed in the younger age groups were faster for men than for women, which was consistent with previous studies. Contrary, in those aged older than 80 years, gait speed was slower in men than in women. Some walking ability will be required for independent daily living; therefore, gender differences may decrease in the older age groups. These findings may have become apparent in this study since the proportion of those older than 80 years was larger compared to previous studies. Thus, the data presented in this study included participants in the independent community population over the age of 80 years old.\nNext, we examined which parameter reflected the age change. Gait speed, stride length, and step length declined with age in both men and women, which was again consistent with some previous studies.20,22,23 It has been reported that step width increases with age;6 however, significant age-related change in step width was not recognized among women in the current study. Increased step width in aged groups would be increased gait stability by widening the base of support. The adaptation for stability may have influenced the result for step width.\nAverage foot pressure decreased for both men and women according to age; however, maximum foot pressure did not change with age in both genders. We posit that decreased average foot pressure was affected by a decrease in ground reaction force during the stance phase, which may be due to body weight loss rather than aging. Conflicting results were shown since normalized maximum foot pressure increased with age; however, peak force did not differ between the older and younger participants, which was shown in a previous study.24 Concerning the lack of age-related change in normalized average foot pressure, it may be not functional decline, but an adaptation to increase gait stability as similar to increased step width. Although single-stance duration was not significantly changed with advanced age in both men and women, this tendency was similar to that of a previous study.23\nThe CVs of gait parameters that were unaffected by age were CVs of step width, average foot pressure in women, stance duration in men, and stride time in men. About CV of step width, we considered that an adaptation to gait stability, as described above, was affected. CV of average foot pressure increased with advanced age in men; however, age change was negligible in women, and the trend was non-significant. CVs of stance duration and stride time were not significantly changed according to age among men, and any change tendencies were not consistent. For the other parameters, the CVs tended to increase with advanced age, indicating that the control of gait fluctuates with aging. These results were consistent with a previous study.23\nThere were several limitations to this study. Selection bias is possible since participants came to the survey site by themselves. A previous study3 that examined associations between walking speed and the onset of functional dependence in a community population found that the risk of functional dependence in the first quartile was increased two to six times compared to the fourth quartile level. Thus, below when examining values below the twentieth percentile in the present reference value dataset, the risk of adverse events may be increased, however future studies are necessary to examine the association between each gait parameters reference value and adverse event risk.In addition, participants walked on the sensor mat barefoot. In barefoot walking, step length is larger, stance duration is shorter, and cadence is higher than in walking while wearing standard shoes.34", "This study determined reference values of the gait parameters measured by a plantar pressure platform in community-dwelling older Japanese adults. These reference values would be useful for gait assessment in the elderly." ]
[ null, null, null, null, null, null, null ]
[ "Introduction", "Methods", "Participants", "Gait performance measurement", "Statistical analyses", "Results", "Discussion", "Conclusions" ]
[ "Gait speed is an important measure that can predict adverse health outcomes such as disability,1 death,2 and functional dependence3 in older individuals. Gait speed is determined by step length and step frequency, and especially gait speed and step length decrease with advanced age.4,5 Other gait parameters, such as step width, foot angle, stance duration, and double-stance duration, are also suggested to change with age.6,7 Cadence, stride length, and double-stance duration are also correlated with gait speed.8\nGait parameters are associated with falls among older individuals. A systematic review suggested that step length, gait speed, stride length, and stance-time variability were more sensitive than other gait parameters for differentiating fallers from non-fallers among older individuals.9 Gait variability is defined as a variation of stride-to-stride gait parameters, which is usually assessed by SD or coefficient of variation (CV) of the gait parameters in each step.10,11 Many studies have reported that gait parameter variabilities are associated with fall risks and mobility disability.11–13\nMoreover, several studies have reported that gait speed and step length predict cognitive decline.14–16 A recent study investigated the association between gait parameter and cognitive status with falls since falls are prevalent in individuals with cognitive decline.17 Gait parameters are also utilized to assess frailty18 and to evaluate effectiveness of physical improvement by exercise.19 Reference values for gait parameters could be utilized by researchers to determine cut-off values when examining the impact of gait parameters on adverse health outcomes as described above. Additionally, these values may provide valuable assistance to clinicians to establish normal value ranges and for assessment of clinical intervention effects.\nSeveral studies proposed reference values of gait parameter, such as gait speed and step length,20–22 spatio-temporal parameters,23 and planter pressure,;24,25 however, no studies have reported data concerning older Japanese adults. Moreover, only a few studies showed the reference value of the variability of such gait parameters.23 This study thus aimed to clarify the gait parameters that decline with advanced age and to determine the reference values of those gait parameters in community-dwelling older Japanese adults.", " Participants Data were collected as part of a community-wide survey in Itabashi ward, Tokyo, Japan.26 Surveys were mailed to 7,614 adults aged 70 years or older who were listed in the basic resident register of which 5,430 participants responded (response rate of 71.3%). Respondents were provided the opportunity for a preventive health check-up at a survey location. Of the initial survey respondents a total of 1,248 participants underwent a geriatric assessment (response rate of 23.0%). Ultimately, 1,212 participants aged 70–96 years (491 men, 721 women; both mean age =77.1 years), who completed the gait performance measurement without a cane and were independent in any five basic activities of daily living (ADLs; which included bathing, dressing, walking, eating, and continence) were included in the analyses.\nAge, body height, body weight, history of chronic disease (which included hypertension, stroke, heart disease, diabetes, or osteoarthritis), hip/knee pain, depression, and Parkinson’s disease were assessed to determine participant characteristics. History of disease and pain were confirmed in face-to-face interviews by physicians or nurses. In addition, cognitive function of participants was assessed using the Mini-Mental State Examination (MMSE), which was administrated by well-trained personnel.\nThis study was conducted in accordance with the Declaration of Helsinki and all participants provided written, informed consent prior to their participation in the study. The ethics committee of the Tokyo Metropolitan Institute of Gerontology approved this study.\nData were collected as part of a community-wide survey in Itabashi ward, Tokyo, Japan.26 Surveys were mailed to 7,614 adults aged 70 years or older who were listed in the basic resident register of which 5,430 participants responded (response rate of 71.3%). Respondents were provided the opportunity for a preventive health check-up at a survey location. Of the initial survey respondents a total of 1,248 participants underwent a geriatric assessment (response rate of 23.0%). Ultimately, 1,212 participants aged 70–96 years (491 men, 721 women; both mean age =77.1 years), who completed the gait performance measurement without a cane and were independent in any five basic activities of daily living (ADLs; which included bathing, dressing, walking, eating, and continence) were included in the analyses.\nAge, body height, body weight, history of chronic disease (which included hypertension, stroke, heart disease, diabetes, or osteoarthritis), hip/knee pain, depression, and Parkinson’s disease were assessed to determine participant characteristics. History of disease and pain were confirmed in face-to-face interviews by physicians or nurses. In addition, cognitive function of participants was assessed using the Mini-Mental State Examination (MMSE), which was administrated by well-trained personnel.\nThis study was conducted in accordance with the Declaration of Helsinki and all participants provided written, informed consent prior to their participation in the study. The ethics committee of the Tokyo Metropolitan Institute of Gerontology approved this study.\n Gait performance measurement Gait performance was measured by P-WALK (Bioengineering, Milano, Italy) modular platforms system for plantar pressure measurement. Ten sensor plates were placed on a straight 5-m intermediate area of a walkway.26,27 Gait performance was recorded when participants walked at a normal pace in the sensor area of the walkway, with 3-m each at the beginning and the ending of the walkway. Participants walked on the walkway barefoot. Data were sampled at 50 Hz and processed by P-WALK software. Several previous studies have demonstrated the reliability of obtaining gait parameter measurements using a pressure platform device.28–30\nGait performance was measured twice, and the following 10 gait parameters were measured by the software: i) gait speed, ii) stride length, iii) step length, iv) step width, v) average foot pressure, vi) maximum foot pressure, vii) stance duration, viii) double-stance duration, ix) single-stance duration, and x) stride time (Figure 1). Foot angle and step surface were also measured in the P-WALK software. However, since those parameters are affected by individual gait characteristics, rather than age decline, they were excluded from the analysis. Gait speed was measured over the entire walk, while the other parameters were measured at each step. Plantar pressure were also normalized by body weight. Finally, we used the average of all steps between the left and right legs. We also calculated coefficient of variations (CVs) from each step for all parameters (except for gait speed). Although all the data of the complete steps were used for calculating the gait parameters, we excluded a step deemed to be intentionally adjusted when stepping on the first sensor mat from the calculation.Figure 1Example of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces.\nExample of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces.\nGait performance was measured by P-WALK (Bioengineering, Milano, Italy) modular platforms system for plantar pressure measurement. Ten sensor plates were placed on a straight 5-m intermediate area of a walkway.26,27 Gait performance was recorded when participants walked at a normal pace in the sensor area of the walkway, with 3-m each at the beginning and the ending of the walkway. Participants walked on the walkway barefoot. Data were sampled at 50 Hz and processed by P-WALK software. Several previous studies have demonstrated the reliability of obtaining gait parameter measurements using a pressure platform device.28–30\nGait performance was measured twice, and the following 10 gait parameters were measured by the software: i) gait speed, ii) stride length, iii) step length, iv) step width, v) average foot pressure, vi) maximum foot pressure, vii) stance duration, viii) double-stance duration, ix) single-stance duration, and x) stride time (Figure 1). Foot angle and step surface were also measured in the P-WALK software. However, since those parameters are affected by individual gait characteristics, rather than age decline, they were excluded from the analysis. Gait speed was measured over the entire walk, while the other parameters were measured at each step. Plantar pressure were also normalized by body weight. Finally, we used the average of all steps between the left and right legs. We also calculated coefficient of variations (CVs) from each step for all parameters (except for gait speed). Although all the data of the complete steps were used for calculating the gait parameters, we excluded a step deemed to be intentionally adjusted when stepping on the first sensor mat from the calculation.Figure 1Example of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces.\nExample of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces.\n Statistical analyses We used descriptive statistics to analyze participants. Differences in the variables between men and women were analyzed with unpaired t-tests and chi-square tests. The mean and SDs of all gait parameters were tabulated per 5-year age groups (70–74, 75–79, 80–84, and ≥85 years) for each gender. To evaluate linear trends in the means of gait parameters between age groups, we used weighted one-way analyses of variance by age groups. We also calculated quintiles (20th, 40th, 60th, and 80th percentiles) of each gait parameter by gender and each 5-year age group.31\nIBM SPSS statistics 25 (IBM Japan, Ltd., Tokyo, Japan) was used for all analyses. Statistical significance was set at 5%.\nWe used descriptive statistics to analyze participants. Differences in the variables between men and women were analyzed with unpaired t-tests and chi-square tests. The mean and SDs of all gait parameters were tabulated per 5-year age groups (70–74, 75–79, 80–84, and ≥85 years) for each gender. To evaluate linear trends in the means of gait parameters between age groups, we used weighted one-way analyses of variance by age groups. We also calculated quintiles (20th, 40th, 60th, and 80th percentiles) of each gait parameter by gender and each 5-year age group.31\nIBM SPSS statistics 25 (IBM Japan, Ltd., Tokyo, Japan) was used for all analyses. Statistical significance was set at 5%.", "Data were collected as part of a community-wide survey in Itabashi ward, Tokyo, Japan.26 Surveys were mailed to 7,614 adults aged 70 years or older who were listed in the basic resident register of which 5,430 participants responded (response rate of 71.3%). Respondents were provided the opportunity for a preventive health check-up at a survey location. Of the initial survey respondents a total of 1,248 participants underwent a geriatric assessment (response rate of 23.0%). Ultimately, 1,212 participants aged 70–96 years (491 men, 721 women; both mean age =77.1 years), who completed the gait performance measurement without a cane and were independent in any five basic activities of daily living (ADLs; which included bathing, dressing, walking, eating, and continence) were included in the analyses.\nAge, body height, body weight, history of chronic disease (which included hypertension, stroke, heart disease, diabetes, or osteoarthritis), hip/knee pain, depression, and Parkinson’s disease were assessed to determine participant characteristics. History of disease and pain were confirmed in face-to-face interviews by physicians or nurses. In addition, cognitive function of participants was assessed using the Mini-Mental State Examination (MMSE), which was administrated by well-trained personnel.\nThis study was conducted in accordance with the Declaration of Helsinki and all participants provided written, informed consent prior to their participation in the study. The ethics committee of the Tokyo Metropolitan Institute of Gerontology approved this study.", "Gait performance was measured by P-WALK (Bioengineering, Milano, Italy) modular platforms system for plantar pressure measurement. Ten sensor plates were placed on a straight 5-m intermediate area of a walkway.26,27 Gait performance was recorded when participants walked at a normal pace in the sensor area of the walkway, with 3-m each at the beginning and the ending of the walkway. Participants walked on the walkway barefoot. Data were sampled at 50 Hz and processed by P-WALK software. Several previous studies have demonstrated the reliability of obtaining gait parameter measurements using a pressure platform device.28–30\nGait performance was measured twice, and the following 10 gait parameters were measured by the software: i) gait speed, ii) stride length, iii) step length, iv) step width, v) average foot pressure, vi) maximum foot pressure, vii) stance duration, viii) double-stance duration, ix) single-stance duration, and x) stride time (Figure 1). Foot angle and step surface were also measured in the P-WALK software. However, since those parameters are affected by individual gait characteristics, rather than age decline, they were excluded from the analysis. Gait speed was measured over the entire walk, while the other parameters were measured at each step. Plantar pressure were also normalized by body weight. Finally, we used the average of all steps between the left and right legs. We also calculated coefficient of variations (CVs) from each step for all parameters (except for gait speed). Although all the data of the complete steps were used for calculating the gait parameters, we excluded a step deemed to be intentionally adjusted when stepping on the first sensor mat from the calculation.Figure 1Example of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces.\nExample of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces.", "We used descriptive statistics to analyze participants. Differences in the variables between men and women were analyzed with unpaired t-tests and chi-square tests. The mean and SDs of all gait parameters were tabulated per 5-year age groups (70–74, 75–79, 80–84, and ≥85 years) for each gender. To evaluate linear trends in the means of gait parameters between age groups, we used weighted one-way analyses of variance by age groups. We also calculated quintiles (20th, 40th, 60th, and 80th percentiles) of each gait parameter by gender and each 5-year age group.31\nIBM SPSS statistics 25 (IBM Japan, Ltd., Tokyo, Japan) was used for all analyses. Statistical significance was set at 5%.", "Descriptive statistics of age, chronic disease status, body height, body weight, body mass index, and gait parameters were shown in Table 1. The mean gait speed (SD) was 1.26 (0.24) meters per second (m/s) for men and 1.27 (0.21) m/s for women. There was a significant difference in the age distribution between genders. The percentage of those aged 70–74 years was significantly greater in men than in women, whereas the percentage of those aged 75–80 years was significantly greater in women than in men (Table 1). The prevalence of stroke, heart disease, and diabetes was significantly greater in men than in women. The prevalence of osteoarthritis and reporting knee pain was significantly greater in women than in men.Table 1Participants’ characteristicsVariableMean ±SD or n (%)P*Men (n=491)Women (n=721)Age (years)77.1 ± 5.077.1 ± 4.60.865Age group, n (%)0.034 70–74188 (38.3)238 (33.0) 75–80152 (31.0)275 (38.1) 80–84107 (21.8)160 (22.2) ≥8544 (9.0)48 (6.7)Chronic disease, n (%) Hypertension263 (53.7)363 (50.3)0.447 Stroke51 (10.5)49 (6.8)0.031 Heart disease124 (25.4)130 (18.1)0.007 Diabetes102 (20.8)71 (9.9)< 0.001 Osteoarthritis52 (10.6)191 (26.6)< 0.001 Hip pain180 (36.7)302 (42.1)0.063 Knee pain113 (23.0)247 (34.3)< 0.001 Depression9 (1.8)35 (4.9)0.895 Parkinson’s Disease3 (0.6)4 (0.6)< 0.001Height, cm163.4 ± 5.8150.1 ± 5.6< 0.001Weight, kg62.6 ± 8.851.3 ± 8.9< 0.001Body mass index, kg/m223.4 ± 2.922.7 ± 3.4< 0.001MMSE score, n (%)0.147 <2445 (9.3)50 (7.0) ≥24441 (90.7)668 (93.0)Gait measures Gait speed, m/s1.26 ± 0.241.27 ± 0.210.470 Stride length, cm121.9 ± 19.8115.7 ± 16.3< 0.001 Step length, cm60.8 ± 9.957.7 ± 8.1< 0.001 Step width, cm24.0 ± 3.217.9 ± 2.8< 0.001 Average foot pressure, kPa101.6 ± 10.996.6 ± 11.0< 0.001 Maximum foot pressure, kPa306.6 ± 41.9310.3 ± 41.10.127 Average foot pressure, kPa/kg1.65 ± 0.281.93 ± 0.34< 0.001 Maximum foot pressure, kPa/kg5.00 ± 1.016.21 ± 1.26< 0.001 Stance duration, ms552.4 ± 60.4517.6 ± 59.8< 0.001 Double-stance duration, ms65.7 ± 24.859.8 ± 24.4< 0.001 Single-stance duration, ms423.2 ± 33.7401.3 ± 30.7< 0.001 Stride time, ms975.3 ± 85.0918.7 ± 80.3< 0.001Coefficient of variations of gait measures Stride length2.76 ± 1.352.69 ± 1.240.393 Step length4.72 ± 2.064.45 ± 2.450.047 Step width12.06 ± 3.9815.65 ± 4.53< 0.001 Average foot pressure11.81 ± 4.3512.53 ± 3.870.003 Maximum foot pressure18.77 ± 5.4719.12 ± 5.010.244 Stance duration5.15 ± 2.215.18 ± 2.010.837 Double-stance duration31.30 ± 11.0834.19 ± 11.11< 0.001 Single-stance duration5.74 ± 2.665.77 ± 2.400.882 Stride time3.03 ± 1.293.25 ± 1.240.002Note: *Continuous variables: unpaired t-test, categorical variables: chi-square test.Abbreviations: ms, milliseconds; m/s, meters per second.\n\nParticipants’ characteristics\nNote: *Continuous variables: unpaired t-test, categorical variables: chi-square test.\nAbbreviations: ms, milliseconds; m/s, meters per second.\nStride and step length, step width, and average foot pressure were significantly larger in men than in women (Table 1). Temporal parameters included in stride time were significantly longer in men than in women. CVs of step width, average foot pressure, normalized average and maximum foot pressure, double-stance duration, and stride time were significantly greater in women than in men, whereas that of step length was significantly longer in men than in women.\nAmong men, the gait parameters (except for maximum foot pressure, normalized average foot pressure, single-stance duration, CVs of step width, stance duration, and stride time) showed significant declining trends with advanced age (Table 2). In women, step width, maximum foot pressure, normalized average foot pressure, single-stance duration, CVs of step width, and average foot pressure did not show significant declining trends per age (Table 3).Table 2Mean and SDs for gait parameters per age group among menVariableMean ± SDP for trend*OverallAge group70–7475–8080–84≥85(N=491)(n=188)(n=152)(n=107)(n=44)Height, cm163.4 ± 5.8163.9 ± 5.6164.2 ± 5.9162.4 ± 5.6160.8 ± 5.9< 0.001Weight, kg62.6 ± 8.863.3 ± 8.764.0 ± 8.660.9 ± 8.559.1 ± 9.70.001Gait measures Gait speed, m/s1.26 ± 0.241.32 ± 0.211.26 ± 0.251.23 ± 0.221.08 ± 0.23< 0.001 Stride length, cm121.9 ± 19.8127.0 ± 17.7121.5 ± 20.0118.9 ± 20.2108.4 ± 19.5< 0.001 Step length, cm60.8 ± 9.963.4 ± 8.860.6 ± 10.059.3 ± 10.154.2 ± 9.7< 0.001 Step width, cm24.0 ± 3.223.6 ± 3.023.8 ± 3.324.4 ± 3.125.3 ± 3.6< 0.001 Average foot pressure, kPa101.6 ± 10.9102.7 ± 10.8102.9 ± 10.3100.6 ± 11.294.8 ± 9.7< 0.001 Maximum foot pressure, kPa306.6 ± 41.9306.9 ± 40.9308.2 ± 41.3306.6 ± 44.1299.8 ± 43.60.477 Average foot pressure, kPa/kg1.65 0.281.65 0.271.63 0.271.68 0.301.65 0.330.558 Maximum foot pressure, kPa/kg5.00 1.014.94 0.944.90 0.925.14 1.095.23 1.310.029 Stance duration, ms552.4 ± 60.4545.2 ± 59.1551.3 ± 61.5552.2 ± 54.7587.8 ± 65.30.001 Double-stance duration, ms65.7 ± 24.860.6 ± 23.266.1 ± 23.166.9 ± 23.683.5 ± 31.5< 0.001 Single-stance duration, ms423.2 ± 33.7425.4 ± 32.2421.5 ± 32.8421.4 ± 34.9424.1 ± 40.20.471 Stride time, ms975.3 ± 85.0970.1 ± 83.7972.6 ± 87.2973.6 ± 78.31011.8 ± 92.30.031Coefficient of variations of gait measures Stride length2.76 ± 1.352.57 ± 1.192.76 ± 1.312.89 ± 1.613.20 ± 1.350.002 Step length4.72 ± 2.064.45 ± 2.054.80 ± 2.134.69 ± 1.935.68 ± 1.930.004 Step width12.06 ± 3.9812.33 ± 3.8511.99 ± 4.4211.76 ± 3.6511.82 ± 3.770.230 Average foot pressure11.81 ± 4.3511.19 ± 3.1411.87 ± 5.1612.34 ± 4.0613.01 ± 5.890.003 Maximum foot pressure18.77 ± 5.4718.03 ± 4.8119.01 ± 5.3219.07 ± 5.8920.36 ± 7.120.009 Stance duration5.15 ± 2.214.91 ± 2.085.31 ± 2.445.18 ± 1.735.59 ± 2.810.067 Double-stance duration31.30 ± 11.0832.30 ± 11.0331.54 ± 11.6730.69 ± 10.1627.63 ± 10.840.017 Single-stance duration5.74 ± 2.665.39 ± 2.525.79 ± 2.745.90 ± 2.576.73 ± 2.990.003 Stride time3.03 ± 1.292.90 ± 1.413.10 ± 1.283.10 ± 1.123.12 ± 1.220.155Note: *Weighted one-way analyses of variance by age groups.Abbreviations: ms, milliseconds; m/s, meters per second.\nTable 3Mean and SDs for gait parameters per age group among womenVariableMean ± SDP for trend*OverallAge group70–7475–8080–84≥85(N=721)(n=238)(n=275)(n=160)(n=48)Height, cm150.1 ± 5.6151.2 ± 5.2150.5 ± 5.6149.2 ± 5.2145.6 ± 6.1< 0.001Weight, kg51.3 ± 8.951.8 ± 10.051.7 ± 8.550.6 ± 7.547.7 ± 8.70.008Gait measures Gait speed, m/s1.27 ± 0.211.33 ± 0.201.30 ± 0.201.21 ± 0.211.06 ± 0.22< 0.001 Stride length, cm115.7 ± 16.3120.0 ± 14.3117.5 ± 15.0110.8 ± 15.9100.1 ± 20.4< 0.001 Step length, cm57.7 ± 8.159.9 ± 7.258.6 ± 7.555.3 ± 7.949.9 ± 10.2< 0.001 Step width, cm17.9 ± 2.817.7 ± 2.617.7 ± 2.818.2 ± 2.918.2 ± 3.60.082 Average foot pressure, kPa96.6 ± 11.098.6 ± 11.496.4 ± 10.195.5 ± 11.292.5 ± 12.1< 0.001 Maximum foot pressure, kPa310.3 ± 41.1308.3 ± 41.3310.7 ± 41.5313.0 ± 39.4308.5 ± 43.40.463 Average foot pressure, kPa/kg1.93 0.341.95 0.341.90 0.331.92 0.341.98 0.370.951 Maximum foot pressure, kPa/kg6.21 1.266.10 1.186.16 1.316.31 1.186.67 1.52< 0.001 Stance duration, ms517.6 ± 59.8509.8 ± 54.9514.0 ± 57.1524.6 ± 59.9553.5 ± 81.1< 0.001 Double-stance duration, ms59.8 ± 24.455.0 ± 19.758.4 ± 24.464.1 ± 22.477.0 ± 38.8< 0.001 Single-stance duration, ms401.3 ± 30.7403.3 ± 30.6400.3 ± 28.4400.3 ± 31.1400.7 ± 41.40.355 Stride time, ms918.7 ± 80.3913.3 ± 78.3913.7 ± 74.7924.8 ± 82.6954.1 ± 102.50.004Coefficient of variations of gait measures Stride length2.69 ± 1.242.54 ± 1.192.57 ± 1.182.95 ± 1.203.26 ± 1.65< 0.001 Step length4.45 ± 2.454.06 ± 1.844.33 ± 2.304.83 ± 1.965.88 ± 5.23< 0.001 Step width15.65 ± 4.5315.43 ± 4.2815.72 ± 4.4415.83 ± 4.9415.84 ± 4.960.367 Average foot pressure12.53 ± 3.8712.30 ± 3.6212.63 ± 4.2412.62 ± 3.6212.84 ± 3.770.296 Maximum foot pressure19.12 ± 5.0118.43 ± 4.8319.37 ± 4.8719.41 ± 5.0020.20 ± 6.320.010 Stance duration5.18 ± 2.015.03 ± 1.634.96 ± 1.685.72 ± 2.845.36 ± 1.870.004 Double-stance duration34.19 ± 11.1135.37 ± 11.2734.73 ± 11.2032.73 ± 10.5130.20 ± 10.600.001 Single-stance duration5.77 ± 2.405.67 ± 2.255.55 ± 1.926.06 ± 2.376.47 ± 4.630.017 Stride time3.25 ± 1.243.17 ± 1.213.19 ± 1.053.39 ± 1.433.59 ± 1.530.012Note: *Weighted one-way analyses of variance by age groups.Abbreviations: ms, milliseconds; m/s, meters per second.\n\nMean and SDs for gait parameters per age group among men\nNote: *Weighted one-way analyses of variance by age groups.\nAbbreviations: ms, milliseconds; m/s, meters per second.\nMean and SDs for gait parameters per age group among women\nNote: *Weighted one-way analyses of variance by age groups.\nAbbreviations: ms, milliseconds; m/s, meters per second.\nLastly, quintiles of the gait parameters, which were recognized with declining trends of advanced age among both genders, are shown in Tables 4 and 5.Table 4Quintiles of gait parameters per age group among menGait parameterPercentileAge group (years)Overall70–7475–8080–84≥85Gait measures Gait speed, m/s80th1.471.511.471.411.2360th1.331.391.341.301.1440th1.221.281.191.191.0520th1.051.161.001.020.87 Stride length, cm80th139.2141.1140.7134.4122.260th129.4134.4128.7124.5113.740th119.2125.6116.9115.6101.520th101.2113.398.5100.095.6 Step length, cm80th69.470.570.367.061.160th64.667.064.162.156.840th59.562.658.057.650.920th50.656.649.350.048.1 Step width, cm80th26.425.826.327.127.960th24.724.124.424.926.440th23.022.622.723.424.720th21.321.021.121.722.4 Average foot pressure, kPa/kg80th1.891.871.851.911.9260th1.701.721.671.721.7040th1.551.571.541.581.5120th1.411.411.411.411.36 Maximum foot pressure, kPa/kg80th5.825.765.715.886.5060th5.185.095.115.425.1740th4.634.644.554.714.5220th4.053.973.994.234.29 Stance duration, ms80th596.9594.5594.0595.6660.060th566.6554.8568.6570.2588.940th535.6524.1539.1535.6566.220th504.0501.3506.9502.4541.8 Double-stance duration, ms80th83.976.085.284.3105.560th68.063.368.670.087.940th57.954.358.358.873.320th45.041.446.344.754.7 Single-stance duration, ms80th448.3446.5448.6452.0455.760th431.2433.3430.8429.3437.940th415.0417.0415.0414.4411.720th395.7400.5396.5395.0388.0 Stride time, ms80th1041.21033.51045.01040.01093.360th993.9991.0993.8990.01017.140th948.6944.0955.0946.7983.620th910.0904.0910.0912.0924.8Coefficient of variations of gait measures Stride length80th3.683.553.593.794.1060th2.812.552.922.843.4240th2.232.092.232.342.8120th1.631.551.671.582.04 Step length80th6.155.736.416.087.1160th4.824.684.854.655.7340th3.893.603.884.014.7720th2.992.773.163.044.24 Step width80th14.9115.6314.6514.2414.7060th12.5913.0012.1012.2212.4840th10.7711.1210.4110.7710.1320th8.738.968.469.028.50 Average foot pressure80th14.1313.3214.1115.1214.9860th11.8311.5611.4612.4613.1140th10.3010.2810.1110.7210.7620th8.738.638.329.159.44 Maximum foot pressure80th22.8421.6723.4223.9424.3660th19.2518.3019.6019.4920.4340th16.8016.2017.3516.7718.8220th14.1913.9214.4514.6115.84 Stance duration80th6.005.666.096.406.7860th4.994.765.035.295.3540th4.334.264.344.454.6220th3.793.733.843.734.03 Double-stance duration80th39.8640.5240.9038.2035.9660th32.8734.8732.9231.5828.9640th27.4728.6227.2226.8426.0920th21.9722.8421.1622.2918.86 Single-stance duration80th7.126.776.927.359.9560th5.795.485.955.787.0740th4.874.684.844.875.3520th3.913.583.774.234.46 Stride time80th3.813.553.814.114.0560th3.122.903.313.123.3040th2.592.422.692.632.8420th2.112.022.162.242.12Abbreviations: ms, milliseconds; m/s, meters per second.\nTable 5Quintiles of gait parameters per age group among womenGait parameterPercentileAge group (years)Overall70–7475–8080–84≥85Gait measures Gait speed, m/s80th1.451.491.461.381.2760th1.341.371.361.261.1140th1.231.271.261.141.0320th1.101.171.161.050.93 Stride length, cm80th129.5132.9130.5126.0118.260th121.0122.6122.8115.3105.040th113.2116.3115.1108.297.520th102.2109.5104.196.787.3 Step length, cm80th64.666.365.262.859.060th60.461.261.357.452.740th56.458.157.354.048.520th51.254.652.048.443.5 Step width, cm80th20.119.919.620.820.860th18.318.318.218.718.440th16.917.116.916.917.320th15.615.615.515.615.4 Average foot pressure, kPa/kg80th2.192.182.192.192.2860th1.992.021.951.982.0140th1.821.841.801.791.8720th1.651.661.611.651.74 Maximum foot pressure, kPa/kg80th7.197.017.117.377.8860th6.426.226.346.636.8140th5.775.695.735.936.1620th5.175.135.115.255.34 Stance duration, ms80th555.0548.0545.0570.7592.160th525.5517.7518.2538.3552.040th498.6495.4497.0499.9527.720th474.4466.7476.0476.0496.3 Double-stance duration, ms80th73.468.272.581.685.660th61.857.160.468.272.540th51.447.449.657.662.220th40.038.040.044.155.0 Single-stance duration, ms80th426.3427.1424.0425.8438.860th408.0408.0407.0408.3412.040th394.1395.0393.3394.5397.120th376.4381.4377.7370.4370.0 Stride time, ms80th974.0967.5957.9988.01026.560th932.7924.2923.8950.0960.040th895.3892.0895.6895.0924.320th860.0855.7862.2854.1876.0Coefficient of variations of gait measures Stride length80th3.593.313.433.944.5760th2.752.552.643.083.1940th2.212.062.122.502.6120th1.671.621.591.932.14 Step length80th5.605.135.366.166.3660th4.444.094.214.915.3640th3.553.273.444.014.4720th2.892.672.833.273.32 Step width80th19.6118.9019.3720.3720.8260th16.4716.0416.7216.5917.0240th13.7413.6914.0513.6013.7420th11.7111.6911.9411.5812.53 Average foot pressure80th15.0514.7415.5615.0315.6260th12.6612.4512.5913.1112.8040th11.1911.2711.1811.1511.4320th9.639.649.529.6610.10 Maximum foot pressure80th23.2122.0723.6423.3323.8460th19.9719.3220.4920.1419.3240th17.4916.6517.9117.9917.5820th14.8814.1415.1215.1415.65 Stance duration80th6.136.045.886.716.8660th5.175.085.055.485.3740th4.534.444.524.894.5320th3.873.703.864.174.07 Double-stance duration80th42.5643.5343.2440.2840.5460th35.9537.1436.2734.7229.5340th30.6731.8531.4229.6027.0420th24.8626.0925.7323.3921.93 Single-stance duration80th7.006.706.937.417.9660th5.785.595.736.396.0640th4.984.874.865.305.1920th4.134.143.864.374.41Stride time80th4.103.864.144.184.5960th3.443.323.443.573.8540th2.802.782.772.962.7920th2.342.262.372.342.34Abbreviations: ms, milliseconds; m/s, meters per second.\n\nQuintiles of gait parameters per age group among men\nAbbreviations: ms, milliseconds; m/s, meters per second.\nQuintiles of gait parameters per age group among women\nAbbreviations: ms, milliseconds; m/s, meters per second.", "In this study, we obtained reference value data divided across quintiles for ten gait parameters and their associated CVs (except for gait speed) for a large sample set of community-dwelling older Japanese adults. There is ample need for such reference values since there are few studies that have either published reference values for gait parameters or examined stride-to-stride variability present across gait parameters. Although we did not examine the association between each gait parameter and any specific adverse health outcome, many epidemiological studies have demonstrated that gait parameters can predict adverse events in the elderly, including frailty,18 ADL disability,3 and cognitive decline.16 Therefore, the reference values obtained from this study could be used to compare the prevalence of adverse events across values to determine cut-off ranges for adverse event risk screening. Since gait is associated in the elderly with not only adverse health outcomes but also mortality in patients, such as in those with chronic heart disease,32 the gait parameter reference values obtained in this study may also be utilized for patient evaluation and classification. These reference values can be utilized to assess the effectiveness of interventions; determine the relationship between each gait level and the onset of future adverse health outcomes such as frailty, ADL disability, and dementia; and screen for these unfavorable outcomes. The reference values presented in this study would be useful for health assessment of not only Japanese but also Asian older adults.\nWe first examined the representativeness of the sample—whether the reference values shown in this study can be widely applied to predicting health outcomes and intervention assessments among community-dwelling older adults. The participants in this study were recruited from all residents across a community population, and approximately 16% of the total population participated in this study. Reasons for not participating in the study may have included inability to respond due to cognitive decline, or mobility issues that preventing arrival to the survey site. However, regardless of the reasons for lack of participation, the samples that comprised this study better represent community-dwelling older adults compared with studies where samples were recruited from an applicant pool or through significant extraction. Compared to the pooled data from cohort studies of community-dwelling older Japanese adults,21,31 where participants were recruited from all residents or through random sampling, this study was able to include more participants with age over 85 years old. However, the current participants were recruited from only one urban area. Since it has been suggested that the gait speed is affected by regional differences,33 comparison with other population recruited from other regions remains necessary.\nAlthough some previous studies reported gender differences in gait speed,20–23,31 we did not mirror these results. Moreover, the mean values of gait speed in the younger age groups were faster for men than for women, which was consistent with previous studies. Contrary, in those aged older than 80 years, gait speed was slower in men than in women. Some walking ability will be required for independent daily living; therefore, gender differences may decrease in the older age groups. These findings may have become apparent in this study since the proportion of those older than 80 years was larger compared to previous studies. Thus, the data presented in this study included participants in the independent community population over the age of 80 years old.\nNext, we examined which parameter reflected the age change. Gait speed, stride length, and step length declined with age in both men and women, which was again consistent with some previous studies.20,22,23 It has been reported that step width increases with age;6 however, significant age-related change in step width was not recognized among women in the current study. Increased step width in aged groups would be increased gait stability by widening the base of support. The adaptation for stability may have influenced the result for step width.\nAverage foot pressure decreased for both men and women according to age; however, maximum foot pressure did not change with age in both genders. We posit that decreased average foot pressure was affected by a decrease in ground reaction force during the stance phase, which may be due to body weight loss rather than aging. Conflicting results were shown since normalized maximum foot pressure increased with age; however, peak force did not differ between the older and younger participants, which was shown in a previous study.24 Concerning the lack of age-related change in normalized average foot pressure, it may be not functional decline, but an adaptation to increase gait stability as similar to increased step width. Although single-stance duration was not significantly changed with advanced age in both men and women, this tendency was similar to that of a previous study.23\nThe CVs of gait parameters that were unaffected by age were CVs of step width, average foot pressure in women, stance duration in men, and stride time in men. About CV of step width, we considered that an adaptation to gait stability, as described above, was affected. CV of average foot pressure increased with advanced age in men; however, age change was negligible in women, and the trend was non-significant. CVs of stance duration and stride time were not significantly changed according to age among men, and any change tendencies were not consistent. For the other parameters, the CVs tended to increase with advanced age, indicating that the control of gait fluctuates with aging. These results were consistent with a previous study.23\nThere were several limitations to this study. Selection bias is possible since participants came to the survey site by themselves. A previous study3 that examined associations between walking speed and the onset of functional dependence in a community population found that the risk of functional dependence in the first quartile was increased two to six times compared to the fourth quartile level. Thus, below when examining values below the twentieth percentile in the present reference value dataset, the risk of adverse events may be increased, however future studies are necessary to examine the association between each gait parameters reference value and adverse event risk.In addition, participants walked on the sensor mat barefoot. In barefoot walking, step length is larger, stance duration is shorter, and cadence is higher than in walking while wearing standard shoes.34", "This study determined reference values of the gait parameters measured by a plantar pressure platform in community-dwelling older Japanese adults. These reference values would be useful for gait assessment in the elderly." ]
[ "intro", null, null, null, null, null, null, null ]
[ "gait parameter", "variation coefficient", "community-dwelling", "older adult", "reference value" ]
Introduction: Gait speed is an important measure that can predict adverse health outcomes such as disability,1 death,2 and functional dependence3 in older individuals. Gait speed is determined by step length and step frequency, and especially gait speed and step length decrease with advanced age.4,5 Other gait parameters, such as step width, foot angle, stance duration, and double-stance duration, are also suggested to change with age.6,7 Cadence, stride length, and double-stance duration are also correlated with gait speed.8 Gait parameters are associated with falls among older individuals. A systematic review suggested that step length, gait speed, stride length, and stance-time variability were more sensitive than other gait parameters for differentiating fallers from non-fallers among older individuals.9 Gait variability is defined as a variation of stride-to-stride gait parameters, which is usually assessed by SD or coefficient of variation (CV) of the gait parameters in each step.10,11 Many studies have reported that gait parameter variabilities are associated with fall risks and mobility disability.11–13 Moreover, several studies have reported that gait speed and step length predict cognitive decline.14–16 A recent study investigated the association between gait parameter and cognitive status with falls since falls are prevalent in individuals with cognitive decline.17 Gait parameters are also utilized to assess frailty18 and to evaluate effectiveness of physical improvement by exercise.19 Reference values for gait parameters could be utilized by researchers to determine cut-off values when examining the impact of gait parameters on adverse health outcomes as described above. Additionally, these values may provide valuable assistance to clinicians to establish normal value ranges and for assessment of clinical intervention effects. Several studies proposed reference values of gait parameter, such as gait speed and step length,20–22 spatio-temporal parameters,23 and planter pressure,;24,25 however, no studies have reported data concerning older Japanese adults. Moreover, only a few studies showed the reference value of the variability of such gait parameters.23 This study thus aimed to clarify the gait parameters that decline with advanced age and to determine the reference values of those gait parameters in community-dwelling older Japanese adults. Methods: Participants Data were collected as part of a community-wide survey in Itabashi ward, Tokyo, Japan.26 Surveys were mailed to 7,614 adults aged 70 years or older who were listed in the basic resident register of which 5,430 participants responded (response rate of 71.3%). Respondents were provided the opportunity for a preventive health check-up at a survey location. Of the initial survey respondents a total of 1,248 participants underwent a geriatric assessment (response rate of 23.0%). Ultimately, 1,212 participants aged 70–96 years (491 men, 721 women; both mean age =77.1 years), who completed the gait performance measurement without a cane and were independent in any five basic activities of daily living (ADLs; which included bathing, dressing, walking, eating, and continence) were included in the analyses. Age, body height, body weight, history of chronic disease (which included hypertension, stroke, heart disease, diabetes, or osteoarthritis), hip/knee pain, depression, and Parkinson’s disease were assessed to determine participant characteristics. History of disease and pain were confirmed in face-to-face interviews by physicians or nurses. In addition, cognitive function of participants was assessed using the Mini-Mental State Examination (MMSE), which was administrated by well-trained personnel. This study was conducted in accordance with the Declaration of Helsinki and all participants provided written, informed consent prior to their participation in the study. The ethics committee of the Tokyo Metropolitan Institute of Gerontology approved this study. Data were collected as part of a community-wide survey in Itabashi ward, Tokyo, Japan.26 Surveys were mailed to 7,614 adults aged 70 years or older who were listed in the basic resident register of which 5,430 participants responded (response rate of 71.3%). Respondents were provided the opportunity for a preventive health check-up at a survey location. Of the initial survey respondents a total of 1,248 participants underwent a geriatric assessment (response rate of 23.0%). Ultimately, 1,212 participants aged 70–96 years (491 men, 721 women; both mean age =77.1 years), who completed the gait performance measurement without a cane and were independent in any five basic activities of daily living (ADLs; which included bathing, dressing, walking, eating, and continence) were included in the analyses. Age, body height, body weight, history of chronic disease (which included hypertension, stroke, heart disease, diabetes, or osteoarthritis), hip/knee pain, depression, and Parkinson’s disease were assessed to determine participant characteristics. History of disease and pain were confirmed in face-to-face interviews by physicians or nurses. In addition, cognitive function of participants was assessed using the Mini-Mental State Examination (MMSE), which was administrated by well-trained personnel. This study was conducted in accordance with the Declaration of Helsinki and all participants provided written, informed consent prior to their participation in the study. The ethics committee of the Tokyo Metropolitan Institute of Gerontology approved this study. Gait performance measurement Gait performance was measured by P-WALK (Bioengineering, Milano, Italy) modular platforms system for plantar pressure measurement. Ten sensor plates were placed on a straight 5-m intermediate area of a walkway.26,27 Gait performance was recorded when participants walked at a normal pace in the sensor area of the walkway, with 3-m each at the beginning and the ending of the walkway. Participants walked on the walkway barefoot. Data were sampled at 50 Hz and processed by P-WALK software. Several previous studies have demonstrated the reliability of obtaining gait parameter measurements using a pressure platform device.28–30 Gait performance was measured twice, and the following 10 gait parameters were measured by the software: i) gait speed, ii) stride length, iii) step length, iv) step width, v) average foot pressure, vi) maximum foot pressure, vii) stance duration, viii) double-stance duration, ix) single-stance duration, and x) stride time (Figure 1). Foot angle and step surface were also measured in the P-WALK software. However, since those parameters are affected by individual gait characteristics, rather than age decline, they were excluded from the analysis. Gait speed was measured over the entire walk, while the other parameters were measured at each step. Plantar pressure were also normalized by body weight. Finally, we used the average of all steps between the left and right legs. We also calculated coefficient of variations (CVs) from each step for all parameters (except for gait speed). Although all the data of the complete steps were used for calculating the gait parameters, we excluded a step deemed to be intentionally adjusted when stepping on the first sensor mat from the calculation.Figure 1Example of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces. Example of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces. Gait performance was measured by P-WALK (Bioengineering, Milano, Italy) modular platforms system for plantar pressure measurement. Ten sensor plates were placed on a straight 5-m intermediate area of a walkway.26,27 Gait performance was recorded when participants walked at a normal pace in the sensor area of the walkway, with 3-m each at the beginning and the ending of the walkway. Participants walked on the walkway barefoot. Data were sampled at 50 Hz and processed by P-WALK software. Several previous studies have demonstrated the reliability of obtaining gait parameter measurements using a pressure platform device.28–30 Gait performance was measured twice, and the following 10 gait parameters were measured by the software: i) gait speed, ii) stride length, iii) step length, iv) step width, v) average foot pressure, vi) maximum foot pressure, vii) stance duration, viii) double-stance duration, ix) single-stance duration, and x) stride time (Figure 1). Foot angle and step surface were also measured in the P-WALK software. However, since those parameters are affected by individual gait characteristics, rather than age decline, they were excluded from the analysis. Gait speed was measured over the entire walk, while the other parameters were measured at each step. Plantar pressure were also normalized by body weight. Finally, we used the average of all steps between the left and right legs. We also calculated coefficient of variations (CVs) from each step for all parameters (except for gait speed). Although all the data of the complete steps were used for calculating the gait parameters, we excluded a step deemed to be intentionally adjusted when stepping on the first sensor mat from the calculation.Figure 1Example of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces. Example of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces. Statistical analyses We used descriptive statistics to analyze participants. Differences in the variables between men and women were analyzed with unpaired t-tests and chi-square tests. The mean and SDs of all gait parameters were tabulated per 5-year age groups (70–74, 75–79, 80–84, and ≥85 years) for each gender. To evaluate linear trends in the means of gait parameters between age groups, we used weighted one-way analyses of variance by age groups. We also calculated quintiles (20th, 40th, 60th, and 80th percentiles) of each gait parameter by gender and each 5-year age group.31 IBM SPSS statistics 25 (IBM Japan, Ltd., Tokyo, Japan) was used for all analyses. Statistical significance was set at 5%. We used descriptive statistics to analyze participants. Differences in the variables between men and women were analyzed with unpaired t-tests and chi-square tests. The mean and SDs of all gait parameters were tabulated per 5-year age groups (70–74, 75–79, 80–84, and ≥85 years) for each gender. To evaluate linear trends in the means of gait parameters between age groups, we used weighted one-way analyses of variance by age groups. We also calculated quintiles (20th, 40th, 60th, and 80th percentiles) of each gait parameter by gender and each 5-year age group.31 IBM SPSS statistics 25 (IBM Japan, Ltd., Tokyo, Japan) was used for all analyses. Statistical significance was set at 5%. Participants: Data were collected as part of a community-wide survey in Itabashi ward, Tokyo, Japan.26 Surveys were mailed to 7,614 adults aged 70 years or older who were listed in the basic resident register of which 5,430 participants responded (response rate of 71.3%). Respondents were provided the opportunity for a preventive health check-up at a survey location. Of the initial survey respondents a total of 1,248 participants underwent a geriatric assessment (response rate of 23.0%). Ultimately, 1,212 participants aged 70–96 years (491 men, 721 women; both mean age =77.1 years), who completed the gait performance measurement without a cane and were independent in any five basic activities of daily living (ADLs; which included bathing, dressing, walking, eating, and continence) were included in the analyses. Age, body height, body weight, history of chronic disease (which included hypertension, stroke, heart disease, diabetes, or osteoarthritis), hip/knee pain, depression, and Parkinson’s disease were assessed to determine participant characteristics. History of disease and pain were confirmed in face-to-face interviews by physicians or nurses. In addition, cognitive function of participants was assessed using the Mini-Mental State Examination (MMSE), which was administrated by well-trained personnel. This study was conducted in accordance with the Declaration of Helsinki and all participants provided written, informed consent prior to their participation in the study. The ethics committee of the Tokyo Metropolitan Institute of Gerontology approved this study. Gait performance measurement: Gait performance was measured by P-WALK (Bioengineering, Milano, Italy) modular platforms system for plantar pressure measurement. Ten sensor plates were placed on a straight 5-m intermediate area of a walkway.26,27 Gait performance was recorded when participants walked at a normal pace in the sensor area of the walkway, with 3-m each at the beginning and the ending of the walkway. Participants walked on the walkway barefoot. Data were sampled at 50 Hz and processed by P-WALK software. Several previous studies have demonstrated the reliability of obtaining gait parameter measurements using a pressure platform device.28–30 Gait performance was measured twice, and the following 10 gait parameters were measured by the software: i) gait speed, ii) stride length, iii) step length, iv) step width, v) average foot pressure, vi) maximum foot pressure, vii) stance duration, viii) double-stance duration, ix) single-stance duration, and x) stride time (Figure 1). Foot angle and step surface were also measured in the P-WALK software. However, since those parameters are affected by individual gait characteristics, rather than age decline, they were excluded from the analysis. Gait speed was measured over the entire walk, while the other parameters were measured at each step. Plantar pressure were also normalized by body weight. Finally, we used the average of all steps between the left and right legs. We also calculated coefficient of variations (CVs) from each step for all parameters (except for gait speed). Although all the data of the complete steps were used for calculating the gait parameters, we excluded a step deemed to be intentionally adjusted when stepping on the first sensor mat from the calculation.Figure 1Example of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces. Example of gait performance measurement (P-WALK software). Step length and stride length were calculated using the distance between the heel contact and next heel contact. Average foot pressure and maximum foot pressure were determined as the average and maximum values of plantar pressure distribution during whole walk, respectively. Time parameters, including stance duration, double-stance duration, single stance duration, and stride time, were calculated by detection of foot contact based on ground reaction forces. Statistical analyses: We used descriptive statistics to analyze participants. Differences in the variables between men and women were analyzed with unpaired t-tests and chi-square tests. The mean and SDs of all gait parameters were tabulated per 5-year age groups (70–74, 75–79, 80–84, and ≥85 years) for each gender. To evaluate linear trends in the means of gait parameters between age groups, we used weighted one-way analyses of variance by age groups. We also calculated quintiles (20th, 40th, 60th, and 80th percentiles) of each gait parameter by gender and each 5-year age group.31 IBM SPSS statistics 25 (IBM Japan, Ltd., Tokyo, Japan) was used for all analyses. Statistical significance was set at 5%. Results: Descriptive statistics of age, chronic disease status, body height, body weight, body mass index, and gait parameters were shown in Table 1. The mean gait speed (SD) was 1.26 (0.24) meters per second (m/s) for men and 1.27 (0.21) m/s for women. There was a significant difference in the age distribution between genders. The percentage of those aged 70–74 years was significantly greater in men than in women, whereas the percentage of those aged 75–80 years was significantly greater in women than in men (Table 1). The prevalence of stroke, heart disease, and diabetes was significantly greater in men than in women. The prevalence of osteoarthritis and reporting knee pain was significantly greater in women than in men.Table 1Participants’ characteristicsVariableMean ±SD or n (%)P*Men (n=491)Women (n=721)Age (years)77.1 ± 5.077.1 ± 4.60.865Age group, n (%)0.034 70–74188 (38.3)238 (33.0) 75–80152 (31.0)275 (38.1) 80–84107 (21.8)160 (22.2) ≥8544 (9.0)48 (6.7)Chronic disease, n (%) Hypertension263 (53.7)363 (50.3)0.447 Stroke51 (10.5)49 (6.8)0.031 Heart disease124 (25.4)130 (18.1)0.007 Diabetes102 (20.8)71 (9.9)< 0.001 Osteoarthritis52 (10.6)191 (26.6)< 0.001 Hip pain180 (36.7)302 (42.1)0.063 Knee pain113 (23.0)247 (34.3)< 0.001 Depression9 (1.8)35 (4.9)0.895 Parkinson’s Disease3 (0.6)4 (0.6)< 0.001Height, cm163.4 ± 5.8150.1 ± 5.6< 0.001Weight, kg62.6 ± 8.851.3 ± 8.9< 0.001Body mass index, kg/m223.4 ± 2.922.7 ± 3.4< 0.001MMSE score, n (%)0.147 <2445 (9.3)50 (7.0) ≥24441 (90.7)668 (93.0)Gait measures Gait speed, m/s1.26 ± 0.241.27 ± 0.210.470 Stride length, cm121.9 ± 19.8115.7 ± 16.3< 0.001 Step length, cm60.8 ± 9.957.7 ± 8.1< 0.001 Step width, cm24.0 ± 3.217.9 ± 2.8< 0.001 Average foot pressure, kPa101.6 ± 10.996.6 ± 11.0< 0.001 Maximum foot pressure, kPa306.6 ± 41.9310.3 ± 41.10.127 Average foot pressure, kPa/kg1.65 ± 0.281.93 ± 0.34< 0.001 Maximum foot pressure, kPa/kg5.00 ± 1.016.21 ± 1.26< 0.001 Stance duration, ms552.4 ± 60.4517.6 ± 59.8< 0.001 Double-stance duration, ms65.7 ± 24.859.8 ± 24.4< 0.001 Single-stance duration, ms423.2 ± 33.7401.3 ± 30.7< 0.001 Stride time, ms975.3 ± 85.0918.7 ± 80.3< 0.001Coefficient of variations of gait measures Stride length2.76 ± 1.352.69 ± 1.240.393 Step length4.72 ± 2.064.45 ± 2.450.047 Step width12.06 ± 3.9815.65 ± 4.53< 0.001 Average foot pressure11.81 ± 4.3512.53 ± 3.870.003 Maximum foot pressure18.77 ± 5.4719.12 ± 5.010.244 Stance duration5.15 ± 2.215.18 ± 2.010.837 Double-stance duration31.30 ± 11.0834.19 ± 11.11< 0.001 Single-stance duration5.74 ± 2.665.77 ± 2.400.882 Stride time3.03 ± 1.293.25 ± 1.240.002Note: *Continuous variables: unpaired t-test, categorical variables: chi-square test.Abbreviations: ms, milliseconds; m/s, meters per second. Participants’ characteristics Note: *Continuous variables: unpaired t-test, categorical variables: chi-square test. Abbreviations: ms, milliseconds; m/s, meters per second. Stride and step length, step width, and average foot pressure were significantly larger in men than in women (Table 1). Temporal parameters included in stride time were significantly longer in men than in women. CVs of step width, average foot pressure, normalized average and maximum foot pressure, double-stance duration, and stride time were significantly greater in women than in men, whereas that of step length was significantly longer in men than in women. Among men, the gait parameters (except for maximum foot pressure, normalized average foot pressure, single-stance duration, CVs of step width, stance duration, and stride time) showed significant declining trends with advanced age (Table 2). In women, step width, maximum foot pressure, normalized average foot pressure, single-stance duration, CVs of step width, and average foot pressure did not show significant declining trends per age (Table 3).Table 2Mean and SDs for gait parameters per age group among menVariableMean ± SDP for trend*OverallAge group70–7475–8080–84≥85(N=491)(n=188)(n=152)(n=107)(n=44)Height, cm163.4 ± 5.8163.9 ± 5.6164.2 ± 5.9162.4 ± 5.6160.8 ± 5.9< 0.001Weight, kg62.6 ± 8.863.3 ± 8.764.0 ± 8.660.9 ± 8.559.1 ± 9.70.001Gait measures Gait speed, m/s1.26 ± 0.241.32 ± 0.211.26 ± 0.251.23 ± 0.221.08 ± 0.23< 0.001 Stride length, cm121.9 ± 19.8127.0 ± 17.7121.5 ± 20.0118.9 ± 20.2108.4 ± 19.5< 0.001 Step length, cm60.8 ± 9.963.4 ± 8.860.6 ± 10.059.3 ± 10.154.2 ± 9.7< 0.001 Step width, cm24.0 ± 3.223.6 ± 3.023.8 ± 3.324.4 ± 3.125.3 ± 3.6< 0.001 Average foot pressure, kPa101.6 ± 10.9102.7 ± 10.8102.9 ± 10.3100.6 ± 11.294.8 ± 9.7< 0.001 Maximum foot pressure, kPa306.6 ± 41.9306.9 ± 40.9308.2 ± 41.3306.6 ± 44.1299.8 ± 43.60.477 Average foot pressure, kPa/kg1.65 0.281.65 0.271.63 0.271.68 0.301.65 0.330.558 Maximum foot pressure, kPa/kg5.00 1.014.94 0.944.90 0.925.14 1.095.23 1.310.029 Stance duration, ms552.4 ± 60.4545.2 ± 59.1551.3 ± 61.5552.2 ± 54.7587.8 ± 65.30.001 Double-stance duration, ms65.7 ± 24.860.6 ± 23.266.1 ± 23.166.9 ± 23.683.5 ± 31.5< 0.001 Single-stance duration, ms423.2 ± 33.7425.4 ± 32.2421.5 ± 32.8421.4 ± 34.9424.1 ± 40.20.471 Stride time, ms975.3 ± 85.0970.1 ± 83.7972.6 ± 87.2973.6 ± 78.31011.8 ± 92.30.031Coefficient of variations of gait measures Stride length2.76 ± 1.352.57 ± 1.192.76 ± 1.312.89 ± 1.613.20 ± 1.350.002 Step length4.72 ± 2.064.45 ± 2.054.80 ± 2.134.69 ± 1.935.68 ± 1.930.004 Step width12.06 ± 3.9812.33 ± 3.8511.99 ± 4.4211.76 ± 3.6511.82 ± 3.770.230 Average foot pressure11.81 ± 4.3511.19 ± 3.1411.87 ± 5.1612.34 ± 4.0613.01 ± 5.890.003 Maximum foot pressure18.77 ± 5.4718.03 ± 4.8119.01 ± 5.3219.07 ± 5.8920.36 ± 7.120.009 Stance duration5.15 ± 2.214.91 ± 2.085.31 ± 2.445.18 ± 1.735.59 ± 2.810.067 Double-stance duration31.30 ± 11.0832.30 ± 11.0331.54 ± 11.6730.69 ± 10.1627.63 ± 10.840.017 Single-stance duration5.74 ± 2.665.39 ± 2.525.79 ± 2.745.90 ± 2.576.73 ± 2.990.003 Stride time3.03 ± 1.292.90 ± 1.413.10 ± 1.283.10 ± 1.123.12 ± 1.220.155Note: *Weighted one-way analyses of variance by age groups.Abbreviations: ms, milliseconds; m/s, meters per second. Table 3Mean and SDs for gait parameters per age group among womenVariableMean ± SDP for trend*OverallAge group70–7475–8080–84≥85(N=721)(n=238)(n=275)(n=160)(n=48)Height, cm150.1 ± 5.6151.2 ± 5.2150.5 ± 5.6149.2 ± 5.2145.6 ± 6.1< 0.001Weight, kg51.3 ± 8.951.8 ± 10.051.7 ± 8.550.6 ± 7.547.7 ± 8.70.008Gait measures Gait speed, m/s1.27 ± 0.211.33 ± 0.201.30 ± 0.201.21 ± 0.211.06 ± 0.22< 0.001 Stride length, cm115.7 ± 16.3120.0 ± 14.3117.5 ± 15.0110.8 ± 15.9100.1 ± 20.4< 0.001 Step length, cm57.7 ± 8.159.9 ± 7.258.6 ± 7.555.3 ± 7.949.9 ± 10.2< 0.001 Step width, cm17.9 ± 2.817.7 ± 2.617.7 ± 2.818.2 ± 2.918.2 ± 3.60.082 Average foot pressure, kPa96.6 ± 11.098.6 ± 11.496.4 ± 10.195.5 ± 11.292.5 ± 12.1< 0.001 Maximum foot pressure, kPa310.3 ± 41.1308.3 ± 41.3310.7 ± 41.5313.0 ± 39.4308.5 ± 43.40.463 Average foot pressure, kPa/kg1.93 0.341.95 0.341.90 0.331.92 0.341.98 0.370.951 Maximum foot pressure, kPa/kg6.21 1.266.10 1.186.16 1.316.31 1.186.67 1.52< 0.001 Stance duration, ms517.6 ± 59.8509.8 ± 54.9514.0 ± 57.1524.6 ± 59.9553.5 ± 81.1< 0.001 Double-stance duration, ms59.8 ± 24.455.0 ± 19.758.4 ± 24.464.1 ± 22.477.0 ± 38.8< 0.001 Single-stance duration, ms401.3 ± 30.7403.3 ± 30.6400.3 ± 28.4400.3 ± 31.1400.7 ± 41.40.355 Stride time, ms918.7 ± 80.3913.3 ± 78.3913.7 ± 74.7924.8 ± 82.6954.1 ± 102.50.004Coefficient of variations of gait measures Stride length2.69 ± 1.242.54 ± 1.192.57 ± 1.182.95 ± 1.203.26 ± 1.65< 0.001 Step length4.45 ± 2.454.06 ± 1.844.33 ± 2.304.83 ± 1.965.88 ± 5.23< 0.001 Step width15.65 ± 4.5315.43 ± 4.2815.72 ± 4.4415.83 ± 4.9415.84 ± 4.960.367 Average foot pressure12.53 ± 3.8712.30 ± 3.6212.63 ± 4.2412.62 ± 3.6212.84 ± 3.770.296 Maximum foot pressure19.12 ± 5.0118.43 ± 4.8319.37 ± 4.8719.41 ± 5.0020.20 ± 6.320.010 Stance duration5.18 ± 2.015.03 ± 1.634.96 ± 1.685.72 ± 2.845.36 ± 1.870.004 Double-stance duration34.19 ± 11.1135.37 ± 11.2734.73 ± 11.2032.73 ± 10.5130.20 ± 10.600.001 Single-stance duration5.77 ± 2.405.67 ± 2.255.55 ± 1.926.06 ± 2.376.47 ± 4.630.017 Stride time3.25 ± 1.243.17 ± 1.213.19 ± 1.053.39 ± 1.433.59 ± 1.530.012Note: *Weighted one-way analyses of variance by age groups.Abbreviations: ms, milliseconds; m/s, meters per second. Mean and SDs for gait parameters per age group among men Note: *Weighted one-way analyses of variance by age groups. Abbreviations: ms, milliseconds; m/s, meters per second. Mean and SDs for gait parameters per age group among women Note: *Weighted one-way analyses of variance by age groups. Abbreviations: ms, milliseconds; m/s, meters per second. Lastly, quintiles of the gait parameters, which were recognized with declining trends of advanced age among both genders, are shown in Tables 4 and 5.Table 4Quintiles of gait parameters per age group among menGait parameterPercentileAge group (years)Overall70–7475–8080–84≥85Gait measures Gait speed, m/s80th1.471.511.471.411.2360th1.331.391.341.301.1440th1.221.281.191.191.0520th1.051.161.001.020.87 Stride length, cm80th139.2141.1140.7134.4122.260th129.4134.4128.7124.5113.740th119.2125.6116.9115.6101.520th101.2113.398.5100.095.6 Step length, cm80th69.470.570.367.061.160th64.667.064.162.156.840th59.562.658.057.650.920th50.656.649.350.048.1 Step width, cm80th26.425.826.327.127.960th24.724.124.424.926.440th23.022.622.723.424.720th21.321.021.121.722.4 Average foot pressure, kPa/kg80th1.891.871.851.911.9260th1.701.721.671.721.7040th1.551.571.541.581.5120th1.411.411.411.411.36 Maximum foot pressure, kPa/kg80th5.825.765.715.886.5060th5.185.095.115.425.1740th4.634.644.554.714.5220th4.053.973.994.234.29 Stance duration, ms80th596.9594.5594.0595.6660.060th566.6554.8568.6570.2588.940th535.6524.1539.1535.6566.220th504.0501.3506.9502.4541.8 Double-stance duration, ms80th83.976.085.284.3105.560th68.063.368.670.087.940th57.954.358.358.873.320th45.041.446.344.754.7 Single-stance duration, ms80th448.3446.5448.6452.0455.760th431.2433.3430.8429.3437.940th415.0417.0415.0414.4411.720th395.7400.5396.5395.0388.0 Stride time, ms80th1041.21033.51045.01040.01093.360th993.9991.0993.8990.01017.140th948.6944.0955.0946.7983.620th910.0904.0910.0912.0924.8Coefficient of variations of gait measures Stride length80th3.683.553.593.794.1060th2.812.552.922.843.4240th2.232.092.232.342.8120th1.631.551.671.582.04 Step length80th6.155.736.416.087.1160th4.824.684.854.655.7340th3.893.603.884.014.7720th2.992.773.163.044.24 Step width80th14.9115.6314.6514.2414.7060th12.5913.0012.1012.2212.4840th10.7711.1210.4110.7710.1320th8.738.968.469.028.50 Average foot pressure80th14.1313.3214.1115.1214.9860th11.8311.5611.4612.4613.1140th10.3010.2810.1110.7210.7620th8.738.638.329.159.44 Maximum foot pressure80th22.8421.6723.4223.9424.3660th19.2518.3019.6019.4920.4340th16.8016.2017.3516.7718.8220th14.1913.9214.4514.6115.84 Stance duration80th6.005.666.096.406.7860th4.994.765.035.295.3540th4.334.264.344.454.6220th3.793.733.843.734.03 Double-stance duration80th39.8640.5240.9038.2035.9660th32.8734.8732.9231.5828.9640th27.4728.6227.2226.8426.0920th21.9722.8421.1622.2918.86 Single-stance duration80th7.126.776.927.359.9560th5.795.485.955.787.0740th4.874.684.844.875.3520th3.913.583.774.234.46 Stride time80th3.813.553.814.114.0560th3.122.903.313.123.3040th2.592.422.692.632.8420th2.112.022.162.242.12Abbreviations: ms, milliseconds; m/s, meters per second. Table 5Quintiles of gait parameters per age group among womenGait parameterPercentileAge group (years)Overall70–7475–8080–84≥85Gait measures Gait speed, m/s80th1.451.491.461.381.2760th1.341.371.361.261.1140th1.231.271.261.141.0320th1.101.171.161.050.93 Stride length, cm80th129.5132.9130.5126.0118.260th121.0122.6122.8115.3105.040th113.2116.3115.1108.297.520th102.2109.5104.196.787.3 Step length, cm80th64.666.365.262.859.060th60.461.261.357.452.740th56.458.157.354.048.520th51.254.652.048.443.5 Step width, cm80th20.119.919.620.820.860th18.318.318.218.718.440th16.917.116.916.917.320th15.615.615.515.615.4 Average foot pressure, kPa/kg80th2.192.182.192.192.2860th1.992.021.951.982.0140th1.821.841.801.791.8720th1.651.661.611.651.74 Maximum foot pressure, kPa/kg80th7.197.017.117.377.8860th6.426.226.346.636.8140th5.775.695.735.936.1620th5.175.135.115.255.34 Stance duration, ms80th555.0548.0545.0570.7592.160th525.5517.7518.2538.3552.040th498.6495.4497.0499.9527.720th474.4466.7476.0476.0496.3 Double-stance duration, ms80th73.468.272.581.685.660th61.857.160.468.272.540th51.447.449.657.662.220th40.038.040.044.155.0 Single-stance duration, ms80th426.3427.1424.0425.8438.860th408.0408.0407.0408.3412.040th394.1395.0393.3394.5397.120th376.4381.4377.7370.4370.0 Stride time, ms80th974.0967.5957.9988.01026.560th932.7924.2923.8950.0960.040th895.3892.0895.6895.0924.320th860.0855.7862.2854.1876.0Coefficient of variations of gait measures Stride length80th3.593.313.433.944.5760th2.752.552.643.083.1940th2.212.062.122.502.6120th1.671.621.591.932.14 Step length80th5.605.135.366.166.3660th4.444.094.214.915.3640th3.553.273.444.014.4720th2.892.672.833.273.32 Step width80th19.6118.9019.3720.3720.8260th16.4716.0416.7216.5917.0240th13.7413.6914.0513.6013.7420th11.7111.6911.9411.5812.53 Average foot pressure80th15.0514.7415.5615.0315.6260th12.6612.4512.5913.1112.8040th11.1911.2711.1811.1511.4320th9.639.649.529.6610.10 Maximum foot pressure80th23.2122.0723.6423.3323.8460th19.9719.3220.4920.1419.3240th17.4916.6517.9117.9917.5820th14.8814.1415.1215.1415.65 Stance duration80th6.136.045.886.716.8660th5.175.085.055.485.3740th4.534.444.524.894.5320th3.873.703.864.174.07 Double-stance duration80th42.5643.5343.2440.2840.5460th35.9537.1436.2734.7229.5340th30.6731.8531.4229.6027.0420th24.8626.0925.7323.3921.93 Single-stance duration80th7.006.706.937.417.9660th5.785.595.736.396.0640th4.984.874.865.305.1920th4.134.143.864.374.41Stride time80th4.103.864.144.184.5960th3.443.323.443.573.8540th2.802.782.772.962.7920th2.342.262.372.342.34Abbreviations: ms, milliseconds; m/s, meters per second. Quintiles of gait parameters per age group among men Abbreviations: ms, milliseconds; m/s, meters per second. Quintiles of gait parameters per age group among women Abbreviations: ms, milliseconds; m/s, meters per second. Discussion: In this study, we obtained reference value data divided across quintiles for ten gait parameters and their associated CVs (except for gait speed) for a large sample set of community-dwelling older Japanese adults. There is ample need for such reference values since there are few studies that have either published reference values for gait parameters or examined stride-to-stride variability present across gait parameters. Although we did not examine the association between each gait parameter and any specific adverse health outcome, many epidemiological studies have demonstrated that gait parameters can predict adverse events in the elderly, including frailty,18 ADL disability,3 and cognitive decline.16 Therefore, the reference values obtained from this study could be used to compare the prevalence of adverse events across values to determine cut-off ranges for adverse event risk screening. Since gait is associated in the elderly with not only adverse health outcomes but also mortality in patients, such as in those with chronic heart disease,32 the gait parameter reference values obtained in this study may also be utilized for patient evaluation and classification. These reference values can be utilized to assess the effectiveness of interventions; determine the relationship between each gait level and the onset of future adverse health outcomes such as frailty, ADL disability, and dementia; and screen for these unfavorable outcomes. The reference values presented in this study would be useful for health assessment of not only Japanese but also Asian older adults. We first examined the representativeness of the sample—whether the reference values shown in this study can be widely applied to predicting health outcomes and intervention assessments among community-dwelling older adults. The participants in this study were recruited from all residents across a community population, and approximately 16% of the total population participated in this study. Reasons for not participating in the study may have included inability to respond due to cognitive decline, or mobility issues that preventing arrival to the survey site. However, regardless of the reasons for lack of participation, the samples that comprised this study better represent community-dwelling older adults compared with studies where samples were recruited from an applicant pool or through significant extraction. Compared to the pooled data from cohort studies of community-dwelling older Japanese adults,21,31 where participants were recruited from all residents or through random sampling, this study was able to include more participants with age over 85 years old. However, the current participants were recruited from only one urban area. Since it has been suggested that the gait speed is affected by regional differences,33 comparison with other population recruited from other regions remains necessary. Although some previous studies reported gender differences in gait speed,20–23,31 we did not mirror these results. Moreover, the mean values of gait speed in the younger age groups were faster for men than for women, which was consistent with previous studies. Contrary, in those aged older than 80 years, gait speed was slower in men than in women. Some walking ability will be required for independent daily living; therefore, gender differences may decrease in the older age groups. These findings may have become apparent in this study since the proportion of those older than 80 years was larger compared to previous studies. Thus, the data presented in this study included participants in the independent community population over the age of 80 years old. Next, we examined which parameter reflected the age change. Gait speed, stride length, and step length declined with age in both men and women, which was again consistent with some previous studies.20,22,23 It has been reported that step width increases with age;6 however, significant age-related change in step width was not recognized among women in the current study. Increased step width in aged groups would be increased gait stability by widening the base of support. The adaptation for stability may have influenced the result for step width. Average foot pressure decreased for both men and women according to age; however, maximum foot pressure did not change with age in both genders. We posit that decreased average foot pressure was affected by a decrease in ground reaction force during the stance phase, which may be due to body weight loss rather than aging. Conflicting results were shown since normalized maximum foot pressure increased with age; however, peak force did not differ between the older and younger participants, which was shown in a previous study.24 Concerning the lack of age-related change in normalized average foot pressure, it may be not functional decline, but an adaptation to increase gait stability as similar to increased step width. Although single-stance duration was not significantly changed with advanced age in both men and women, this tendency was similar to that of a previous study.23 The CVs of gait parameters that were unaffected by age were CVs of step width, average foot pressure in women, stance duration in men, and stride time in men. About CV of step width, we considered that an adaptation to gait stability, as described above, was affected. CV of average foot pressure increased with advanced age in men; however, age change was negligible in women, and the trend was non-significant. CVs of stance duration and stride time were not significantly changed according to age among men, and any change tendencies were not consistent. For the other parameters, the CVs tended to increase with advanced age, indicating that the control of gait fluctuates with aging. These results were consistent with a previous study.23 There were several limitations to this study. Selection bias is possible since participants came to the survey site by themselves. A previous study3 that examined associations between walking speed and the onset of functional dependence in a community population found that the risk of functional dependence in the first quartile was increased two to six times compared to the fourth quartile level. Thus, below when examining values below the twentieth percentile in the present reference value dataset, the risk of adverse events may be increased, however future studies are necessary to examine the association between each gait parameters reference value and adverse event risk.In addition, participants walked on the sensor mat barefoot. In barefoot walking, step length is larger, stance duration is shorter, and cadence is higher than in walking while wearing standard shoes.34 Conclusions: This study determined reference values of the gait parameters measured by a plantar pressure platform in community-dwelling older Japanese adults. These reference values would be useful for gait assessment in the elderly.
Background: Gait measures such as gait speed, stride length, step width, and stance duration change with advanced age and are associated with adverse health outcomes among older adults. The stride-to-stride variabilities of gait measures are also related to falls and cognitive decline in older adults; however, reference values of these gait parameters in older Japanese adults do not exist. This study aimed to determine the reference values of gait parameters as measured by a plantar pressure platform in community-dwelling older Japanese adults. Methods: Community-dwelling adults (N=1,212) who were independent in basic activities of daily living and aged 70-96 years (491 men, 721 women) completed the gait performance measurement in a geriatric health assessment. We assessed 10 gait performance measures with a plantar pressure platform system (P-WALK, BTS Bioengineering) and calculated means and coefficient of variations (CVs) of the gait measures as well as quintiles for those gait parameters per age group among men and women. Results: Mean (SDs) of gait speed, stride length, step width, and stance durations were 1.26 (0.24) meters per second (m/s), 121.9 (19.8) cm, 24.0 (3.2) cm, and 552.4 (60.4) milliseconds (ms), respectively, in men, and 1.27 (0.21) m/s, 115.7 (16.3) cm, 17.9 (2.8) cm, and 517.6 (59.8) ms, respectively, in women. Mean of CVs (SD) of stride length, step width, and single-stance duration were 2.76 (1.35), 12.06 (3.98), and 5.74 (2.66), respectively, in men and 2.69 (1.24), 15.65 (4.53), and 5.77 (2.40), respectively, in women. Gait parameters (except CVs of step width) declined significantly with age regardless of gender (P< 0.01 for trends). Conclusions: This study determined age group dependent gait parameter reference values, presented as means with quintile ranges, in community-dwelling older Japanese adults. These reference values may be useful metrics for gait assessment in the elderly.
Introduction: Gait speed is an important measure that can predict adverse health outcomes such as disability,1 death,2 and functional dependence3 in older individuals. Gait speed is determined by step length and step frequency, and especially gait speed and step length decrease with advanced age.4,5 Other gait parameters, such as step width, foot angle, stance duration, and double-stance duration, are also suggested to change with age.6,7 Cadence, stride length, and double-stance duration are also correlated with gait speed.8 Gait parameters are associated with falls among older individuals. A systematic review suggested that step length, gait speed, stride length, and stance-time variability were more sensitive than other gait parameters for differentiating fallers from non-fallers among older individuals.9 Gait variability is defined as a variation of stride-to-stride gait parameters, which is usually assessed by SD or coefficient of variation (CV) of the gait parameters in each step.10,11 Many studies have reported that gait parameter variabilities are associated with fall risks and mobility disability.11–13 Moreover, several studies have reported that gait speed and step length predict cognitive decline.14–16 A recent study investigated the association between gait parameter and cognitive status with falls since falls are prevalent in individuals with cognitive decline.17 Gait parameters are also utilized to assess frailty18 and to evaluate effectiveness of physical improvement by exercise.19 Reference values for gait parameters could be utilized by researchers to determine cut-off values when examining the impact of gait parameters on adverse health outcomes as described above. Additionally, these values may provide valuable assistance to clinicians to establish normal value ranges and for assessment of clinical intervention effects. Several studies proposed reference values of gait parameter, such as gait speed and step length,20–22 spatio-temporal parameters,23 and planter pressure,;24,25 however, no studies have reported data concerning older Japanese adults. Moreover, only a few studies showed the reference value of the variability of such gait parameters.23 This study thus aimed to clarify the gait parameters that decline with advanced age and to determine the reference values of those gait parameters in community-dwelling older Japanese adults. Conclusions: This study determined reference values of the gait parameters measured by a plantar pressure platform in community-dwelling older Japanese adults. These reference values would be useful for gait assessment in the elderly.
Background: Gait measures such as gait speed, stride length, step width, and stance duration change with advanced age and are associated with adverse health outcomes among older adults. The stride-to-stride variabilities of gait measures are also related to falls and cognitive decline in older adults; however, reference values of these gait parameters in older Japanese adults do not exist. This study aimed to determine the reference values of gait parameters as measured by a plantar pressure platform in community-dwelling older Japanese adults. Methods: Community-dwelling adults (N=1,212) who were independent in basic activities of daily living and aged 70-96 years (491 men, 721 women) completed the gait performance measurement in a geriatric health assessment. We assessed 10 gait performance measures with a plantar pressure platform system (P-WALK, BTS Bioengineering) and calculated means and coefficient of variations (CVs) of the gait measures as well as quintiles for those gait parameters per age group among men and women. Results: Mean (SDs) of gait speed, stride length, step width, and stance durations were 1.26 (0.24) meters per second (m/s), 121.9 (19.8) cm, 24.0 (3.2) cm, and 552.4 (60.4) milliseconds (ms), respectively, in men, and 1.27 (0.21) m/s, 115.7 (16.3) cm, 17.9 (2.8) cm, and 517.6 (59.8) ms, respectively, in women. Mean of CVs (SD) of stride length, step width, and single-stance duration were 2.76 (1.35), 12.06 (3.98), and 5.74 (2.66), respectively, in men and 2.69 (1.24), 15.65 (4.53), and 5.77 (2.40), respectively, in women. Gait parameters (except CVs of step width) declined significantly with age regardless of gender (P< 0.01 for trends). Conclusions: This study determined age group dependent gait parameter reference values, presented as means with quintile ranges, in community-dwelling older Japanese adults. These reference values may be useful metrics for gait assessment in the elderly.
6,494
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[ 1917, 293, 513, 145, 2010, 1163, 36 ]
8
[ "gait", "stance", "foot", "step", "pressure", "age", "parameters", "duration", "stance duration", "stride" ]
[ "gait parameters examined", "gait speed younger", "older individuals gait", "gait fluctuates aging", "gait assessment elderly" ]
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[CONTENT] gait parameter | variation coefficient | community-dwelling | older adult | reference value [SUMMARY]
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[CONTENT] gait parameter | variation coefficient | community-dwelling | older adult | reference value [SUMMARY]
[CONTENT] gait parameter | variation coefficient | community-dwelling | older adult | reference value [SUMMARY]
[CONTENT] gait parameter | variation coefficient | community-dwelling | older adult | reference value [SUMMARY]
[CONTENT] Accidental Falls | Activities of Daily Living | Aged | Aged, 80 and over | Cognitive Dysfunction | Female | Geriatric Assessment | Humans | Independent Living | Japan | Male | Motor Activity | Reference Values | Residence Characteristics | Walking Speed [SUMMARY]
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[CONTENT] Accidental Falls | Activities of Daily Living | Aged | Aged, 80 and over | Cognitive Dysfunction | Female | Geriatric Assessment | Humans | Independent Living | Japan | Male | Motor Activity | Reference Values | Residence Characteristics | Walking Speed [SUMMARY]
[CONTENT] Accidental Falls | Activities of Daily Living | Aged | Aged, 80 and over | Cognitive Dysfunction | Female | Geriatric Assessment | Humans | Independent Living | Japan | Male | Motor Activity | Reference Values | Residence Characteristics | Walking Speed [SUMMARY]
[CONTENT] Accidental Falls | Activities of Daily Living | Aged | Aged, 80 and over | Cognitive Dysfunction | Female | Geriatric Assessment | Humans | Independent Living | Japan | Male | Motor Activity | Reference Values | Residence Characteristics | Walking Speed [SUMMARY]
[CONTENT] gait parameters examined | gait speed younger | older individuals gait | gait fluctuates aging | gait assessment elderly [SUMMARY]
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[CONTENT] gait parameters examined | gait speed younger | older individuals gait | gait fluctuates aging | gait assessment elderly [SUMMARY]
[CONTENT] gait parameters examined | gait speed younger | older individuals gait | gait fluctuates aging | gait assessment elderly [SUMMARY]
[CONTENT] gait parameters examined | gait speed younger | older individuals gait | gait fluctuates aging | gait assessment elderly [SUMMARY]
[CONTENT] gait | stance | foot | step | pressure | age | parameters | duration | stance duration | stride [SUMMARY]
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[CONTENT] gait | stance | foot | step | pressure | age | parameters | duration | stance duration | stride [SUMMARY]
[CONTENT] gait | stance | foot | step | pressure | age | parameters | duration | stance duration | stride [SUMMARY]
[CONTENT] gait | stance | foot | step | pressure | age | parameters | duration | stance duration | stride [SUMMARY]
[CONTENT] gait | parameters | gait parameters | step | individuals | length | speed | gait speed | studies | speed step length [SUMMARY]
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[CONTENT] reference | reference values | values | platform community dwelling | platform community | plantar pressure platform | plantar pressure platform community | study determined reference values | study determined reference | study determined [SUMMARY]
[CONTENT] gait | step | parameters | stance | pressure | age | foot | duration | stance duration | gait parameters [SUMMARY]
[CONTENT] gait | step | parameters | stance | pressure | age | foot | duration | stance duration | gait parameters [SUMMARY]
[CONTENT] ||| Japanese ||| Japanese [SUMMARY]
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[CONTENT] Japanese ||| [SUMMARY]
[CONTENT] ||| Japanese ||| Japanese ||| daily | 70-96 years | 491 | 721 ||| 10 | P-WALK | BTS Bioengineering ||| 1.26 | 0.24 | 121.9 | 19.8 | 24.0 | 3.2 | 552.4 | 60.4 | 1.27 | 0.21 | 115.7 | 16.3 | 17.9 | 2.8 | 517.6 | 59.8 ||| 2.76 | 1.35 | 12.06 | 3.98 | 5.74 | 2.66 | 2.69 | 1.24 | 15.65 | 4.53 | 5.77 | 2.40 ||| ||| Japanese ||| [SUMMARY]
[CONTENT] ||| Japanese ||| Japanese ||| daily | 70-96 years | 491 | 721 ||| 10 | P-WALK | BTS Bioengineering ||| 1.26 | 0.24 | 121.9 | 19.8 | 24.0 | 3.2 | 552.4 | 60.4 | 1.27 | 0.21 | 115.7 | 16.3 | 17.9 | 2.8 | 517.6 | 59.8 ||| 2.76 | 1.35 | 12.06 | 3.98 | 5.74 | 2.66 | 2.69 | 1.24 | 15.65 | 4.53 | 5.77 | 2.40 ||| ||| Japanese ||| [SUMMARY]
Risk factors for second primary neoplasia of esophagus in newly diagnosed head and neck cancer patients: a case-control study.
24456340
The prevalence of esophageal neoplasia in head and neck (H&N) cancer patients is not low; however, routine esophageal surveillance is not included in staging of newly-diagnosed H&N cancers. We aimed to investigate the risk factors for synchronous esophageal neoplasia and the impact of endoscopy on management of H&N cancer patients.
BACKGROUND
A total of 129 newly diagnosed H&N cancer patients who underwent endoscopy with white-light imaging, narrow-band imaging (NBI) with magnifying endoscopy (ME), and chromoendoscopy with 1.5% Lugol's solution, before definite treatment were enrolled prospectively.
METHODS
60 esophageal lesions were biopsied from 53 (41.1%) patients, including 11 low-grade, 14 high-grade intraepithelial neoplasia and 12 invasive carcinoma in 30 (23.3%) patients. Alcohol consumption [odds ratio (OR) 5.90, 95% confidence interval (CI) 1.23-26.44], advanced stage (stage III and IV) of index H&N cancers (OR 2.98, 95% CI 1.11-7.99), and lower body mass index (BMI) (every 1-kg/m2 increment with OR 0.87, 95% CI 0.76-0.99) were independent risk factors for synchronous esophageal neoplasia. NBI with ME was the ideal screening tool (sensitivity, specificity, and accuracy of 97.3%, 94.1%, and 96.3%, respectively, for detection of dysplastic and cancerous esophageal lesions). The treatment strategy was modified after endoscopy in 20 (15.5%) patients. The number needed to screen was 6.45 (95% CI 4.60-10.90).
RESULTS
NBI-ME surveillance of esophagus should be done in newly-diagnosed H&N cancer patients, especially those with alcohol drinking, lower BMI, and advanced stage of primary tumor.
CONCLUSIONS
[ "Adult", "Alcohol Drinking", "Areca", "Body Mass Index", "Carcinoma", "Carcinoma in Situ", "Case-Control Studies", "Esophageal Neoplasms", "Esophagoscopy", "Esophagus", "Female", "Head and Neck Neoplasms", "Humans", "Logistic Models", "Male", "Middle Aged", "Multivariate Analysis", "Narrow Band Imaging", "Neoplasm Staging", "Neoplasms, Multiple Primary", "Risk Factors", "Smoking" ]
4028981
Background
Squamous cell carcinomas of the head and neck (H&N) region and the esophagus are common dismal malignancies globally, especially in the Western Pacific regions where carcinogen uses such as drinking alcohol, cigarette smoking and betel quid chewing are prevalent [1]. Mucosa of the upper aerodigestive tract (UADT) may be exposed to common carcinogens and at risk of early molecular alterations without histopathological changes, followed by malignant transformation [2]. According to population-based analyses, the risk and incidence of second primary cancers of the index head and neck, or esophagus are quite high [3-5], and without early detection, synchronous or metachronous carcinogenesis may lead to poor prognosis despite multidisciplinary treatment of the primary cancers [6-8]. Even with traditional panendoscopy screening for synchronous esophageal cancer, the treatment result was still poor [6]. Recent advances in image-enhanced endoscopy (IEE) have enabled precancerous or early cancerous lesions visible more easily under endoscopic examination [9]. Using IEE examination, especially chromoendoscopy with Lugol’s solution and narrow-band imaging (NBI) system with high-resolution magnifying endoscopy (ME), dysplastic or cancerous lesions, and tumor invasion could be well delineated [9-17]. The prevalence of high grade intraepithelial neoplasia or invasive carcinoma of the esophagus in population at high risk, such as alcoholics or H&N cancer patients, is around 3.2 to 28% by IEE screening [11]. To triage and allocate H&N cancer patients at higher risk for esophageal neoplasia to surveillance program becomes important and cost-effective. However, routine application of endoscopic surveillance of esophagus is not a consensus nowadays, and which population benefit from the screening policy has not been well defined. Although previous studies have found certain risk factors for synchronous esophageal neoplasia in H&N cancer patients [12,13], there was no prospective study using routine application of NBI-ME and Lugol’s chromoendoscopy screening with standardized pathological classification. The aim of this prospective study was to determine the prevalence and risk factors for synchronous esophageal neoplasia and the impact of routine IEE screening on the decision making for the management of newly diagnosed H&N cancer patients.
Methods
Study population and data collection We prospectively recruited 168 adults older than 20-year-old who had newly diagnosed H&N cancers that were confirmed by two otolaryngologists (L.-J. L., W.-C. L.) from March 2010 to March 2012 at the Far Eastern Memorial Hospital in New Taipei City, Taiwan. We excluded patients with salivary gland tumors, who needed emergent surgery for compromised airways or tumor bleeding, allergic history to iodine and pregnant. A total of 129 patients were referred to gastroenterologists for IEE screening before treatment. The study population was separated into two groups: H&N cancer patients with, and without synchronous esophageal neoplasia. Demographic characteristics, including age, gender, body mass index (BMI), and the status of habitual use of common carcinogens for UADT cancers, including drinking alcohol, cigarette smoking, and betel quid chewing, were gathered. The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels (Table  1 footnotes). All the participants provided written informed consent before endoscopic examination. This study was approved by the Research Ethics Review Committee of Far Eastern Memorial Hospital (FEMH IRB-101022-E). Demographic characteristics and risk assessment of the study population Abbreviation: BMI body mass index, H&N head and neck, NA not applicable, OR odds ratio, CI confidence interval. *Including low-grade, high-grade intraepithelial neoplasia and invasive carcinoma; + Risk assessment every 1-kg/m2 increment. Note that the lifestyle risk factors were recorded according to the frequencies (alcohol on a weekly basis where one time indicates at least 15.75 gm of ethanol: 0, never; 1, once; 2, once to twice; 3, 3–4 times; and 4, ≥5 times; betel quid on a piece per day basis: 0, never; 1, <1 piece; 2, 1–10 pieces; 3, 11–20 pieces; and 4, >20 pieces; cigarettes on a pack per day basis: 0, never; 1, <0.5 pack; 2, 0.5–1 pack; 3, 1–2 packs; and 4, >2 packs) and duration (0, never; 1, <1 year; 2, 1–10 years; 3, 11–20 years; and 4, >20 years). The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels: level 1, never (0); level 2, light to moderate (1–11); and level 3, heavy (≥12). We prospectively recruited 168 adults older than 20-year-old who had newly diagnosed H&N cancers that were confirmed by two otolaryngologists (L.-J. L., W.-C. L.) from March 2010 to March 2012 at the Far Eastern Memorial Hospital in New Taipei City, Taiwan. We excluded patients with salivary gland tumors, who needed emergent surgery for compromised airways or tumor bleeding, allergic history to iodine and pregnant. A total of 129 patients were referred to gastroenterologists for IEE screening before treatment. The study population was separated into two groups: H&N cancer patients with, and without synchronous esophageal neoplasia. Demographic characteristics, including age, gender, body mass index (BMI), and the status of habitual use of common carcinogens for UADT cancers, including drinking alcohol, cigarette smoking, and betel quid chewing, were gathered. The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels (Table  1 footnotes). All the participants provided written informed consent before endoscopic examination. This study was approved by the Research Ethics Review Committee of Far Eastern Memorial Hospital (FEMH IRB-101022-E). Demographic characteristics and risk assessment of the study population Abbreviation: BMI body mass index, H&N head and neck, NA not applicable, OR odds ratio, CI confidence interval. *Including low-grade, high-grade intraepithelial neoplasia and invasive carcinoma; + Risk assessment every 1-kg/m2 increment. Note that the lifestyle risk factors were recorded according to the frequencies (alcohol on a weekly basis where one time indicates at least 15.75 gm of ethanol: 0, never; 1, once; 2, once to twice; 3, 3–4 times; and 4, ≥5 times; betel quid on a piece per day basis: 0, never; 1, <1 piece; 2, 1–10 pieces; 3, 11–20 pieces; and 4, >20 pieces; cigarettes on a pack per day basis: 0, never; 1, <0.5 pack; 2, 0.5–1 pack; 3, 1–2 packs; and 4, >2 packs) and duration (0, never; 1, <1 year; 2, 1–10 years; 3, 11–20 years; and 4, >20 years). The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels: level 1, never (0); level 2, light to moderate (1–11); and level 3, heavy (≥12). Endoscopic examinations by IEE All of the patients received endoscopic examinations with NBI and ME which has powerful 80 times optical magnification (EVIS LUCERA CLV-260NBI, GIF-H260Z endoscopy, Olympus Medical Systems Corp, Tokyo, Japan), and chromoendoscopy with Lugol’s solution (Sigma-Aldrich, St. Louis, Missouri, USA). All endoscopic examinations were performed by one well-trained endoscopist (C.-S. C.). First, the oral cavity, oropharynx and hypopharynx were evaluated under NBI system [14,15]. The nasopharynx was not examined by endoscopy, but by otolaryngologists. Secondly, the esophagus was examined by white-light imaging (WLI) endoscopy from the esophageal inlet to the esophagogastric junction, and then repeatedly evaluated backward under NBI-ME. After NBI examination, we switched back to WLI and sprayed 10 to 20 mL of 1.5% Lugol solution evenly over the mucosa from esophagogastric junction to upper esophagus. The criteria of suspected lesions were defined as a hyperemic change, uneven or nodularity of mucosa under WLI system (Figure  1A), or brownish discoloration of mucosa with abnormal epithelial capillary pattern (Inoue’s Classification type III ~ V) under NBI-ME system (Figure  1B and 1C) [9,10,16,17], or a well-demarcated Lugol-unstained area (Figure  1D) with a diameter greater than 5 mm or any Lugol-voiding lesions accompanied with pink-silver sign which is often associated with high-grade neoplasia [18]. Finally, the stomach, and the first and second portion of the duodenum, were examined under WLI using the typical panendoscopic procedure. Endoscopic biopsy was done for all suspected lesions fulfilling the criteria mentioned above with histological results served as reference standard. Endoscopic surveillance and management of synchronous high-grade intraepithelial neoplasia of esophagus in a laryngeal cancer patient. A, A flat superficial neoplasia with hyperemia in white-light imaging system. B, A superficial neoplasia with brownish discoloration under narrow-band imaging system. C, Lugol-voiding of the neoplasia after spraying a 1.5% Lugol’s solution. D, Abnormal intraepithelial capillary loops under narrow-band imaging system with magnifying endoscopy. E, Endoscopic submucosal dissection of the superficial neoplasia. F, Mucosal cancer invading the lamina propria (main picture: HE stain, 40x; right bottom: HE stain, 100x). All of the patients received endoscopic examinations with NBI and ME which has powerful 80 times optical magnification (EVIS LUCERA CLV-260NBI, GIF-H260Z endoscopy, Olympus Medical Systems Corp, Tokyo, Japan), and chromoendoscopy with Lugol’s solution (Sigma-Aldrich, St. Louis, Missouri, USA). All endoscopic examinations were performed by one well-trained endoscopist (C.-S. C.). First, the oral cavity, oropharynx and hypopharynx were evaluated under NBI system [14,15]. The nasopharynx was not examined by endoscopy, but by otolaryngologists. Secondly, the esophagus was examined by white-light imaging (WLI) endoscopy from the esophageal inlet to the esophagogastric junction, and then repeatedly evaluated backward under NBI-ME. After NBI examination, we switched back to WLI and sprayed 10 to 20 mL of 1.5% Lugol solution evenly over the mucosa from esophagogastric junction to upper esophagus. The criteria of suspected lesions were defined as a hyperemic change, uneven or nodularity of mucosa under WLI system (Figure  1A), or brownish discoloration of mucosa with abnormal epithelial capillary pattern (Inoue’s Classification type III ~ V) under NBI-ME system (Figure  1B and 1C) [9,10,16,17], or a well-demarcated Lugol-unstained area (Figure  1D) with a diameter greater than 5 mm or any Lugol-voiding lesions accompanied with pink-silver sign which is often associated with high-grade neoplasia [18]. Finally, the stomach, and the first and second portion of the duodenum, were examined under WLI using the typical panendoscopic procedure. Endoscopic biopsy was done for all suspected lesions fulfilling the criteria mentioned above with histological results served as reference standard. Endoscopic surveillance and management of synchronous high-grade intraepithelial neoplasia of esophagus in a laryngeal cancer patient. A, A flat superficial neoplasia with hyperemia in white-light imaging system. B, A superficial neoplasia with brownish discoloration under narrow-band imaging system. C, Lugol-voiding of the neoplasia after spraying a 1.5% Lugol’s solution. D, Abnormal intraepithelial capillary loops under narrow-band imaging system with magnifying endoscopy. E, Endoscopic submucosal dissection of the superficial neoplasia. F, Mucosal cancer invading the lamina propria (main picture: HE stain, 40x; right bottom: HE stain, 100x). Histopathology and decision making of the treatment strategy The biopsied tissues were examined by an experienced pathologist (Y.-H.C.) and classified by the revised Vienna classification of epithelial neoplasia [19]. Chronic inflammation and squamous hyperplasia belong to the diagnosis of indefinite for neoplasia. Esophageal invasive carcinoma and squamous dysplasia which are associated with increased risk for developing malignancy were included for risk analysis [20]. The 7th edition of the American Joint Committee on Cancer (AJCC) and the International Union for Cancer Control tumor-node-metastasis system was used for tumor staging [21], and the treatment planning for head and neck cancer patients was made by tumor board review. After a complete review of the medical condition of each patient and the information from local findings, endoscopic and radiological examinations, the final treatment option for H&N cancer patients were discussed and made by gastroenterologists, radio-oncologists, surgical and medical oncologists. The biopsied tissues were examined by an experienced pathologist (Y.-H.C.) and classified by the revised Vienna classification of epithelial neoplasia [19]. Chronic inflammation and squamous hyperplasia belong to the diagnosis of indefinite for neoplasia. Esophageal invasive carcinoma and squamous dysplasia which are associated with increased risk for developing malignancy were included for risk analysis [20]. The 7th edition of the American Joint Committee on Cancer (AJCC) and the International Union for Cancer Control tumor-node-metastasis system was used for tumor staging [21], and the treatment planning for head and neck cancer patients was made by tumor board review. After a complete review of the medical condition of each patient and the information from local findings, endoscopic and radiological examinations, the final treatment option for H&N cancer patients were discussed and made by gastroenterologists, radio-oncologists, surgical and medical oncologists. Statistical analysis Continuous variables were expressed as mean ± standard deviation and the comparisons between groups were performed using the Student t-test; categorical variables were summarized as count (%) and the comparisons between groups were made using the χ2 or the Fisher’s exact test when appropriate. Univariate and multivariate logistic regression models were performed for evaluation of the demographic and carcinogenic risk factors for synchronous esophageal neoplasia in H&N cancer patients. Cochrane-Armitage trend test was used for the investigation of the dose–response cancer risk predicting power of carcinogens. The sensitivity, specificity and accuracy of different IEE methods to detect esophageal neoplasia were calculated according to the pathological findings served as standard reference. A two-tailed p value <0.05 was considered as statistically significant. The statistical analysis was performed using STATA software (version 11.0; Stata Corp, College Station, TX, USA). Continuous variables were expressed as mean ± standard deviation and the comparisons between groups were performed using the Student t-test; categorical variables were summarized as count (%) and the comparisons between groups were made using the χ2 or the Fisher’s exact test when appropriate. Univariate and multivariate logistic regression models were performed for evaluation of the demographic and carcinogenic risk factors for synchronous esophageal neoplasia in H&N cancer patients. Cochrane-Armitage trend test was used for the investigation of the dose–response cancer risk predicting power of carcinogens. The sensitivity, specificity and accuracy of different IEE methods to detect esophageal neoplasia were calculated according to the pathological findings served as standard reference. A two-tailed p value <0.05 was considered as statistically significant. The statistical analysis was performed using STATA software (version 11.0; Stata Corp, College Station, TX, USA).
Results
The demographic characteristics of the study population and risk assessment by univariate logistic regression analysis of these factors are shown in Table  1. A total of 122 male and 7 female head and neck cancer patients were enrolled. Sixty defined suspicious esophageal lesions were biopsied from 53 (41.1%) patients after IEE screening and 30 (23.3%) patients had the presence of dysplastic or cancerous lesions by histopathological examination. Compared with H&N cancer patients without synchronous esophageal neoplasia, the mean age and sex ratio of those with synchronous esophageal neoplasia were not significantly different. However, the BMI is lower in the group with synchronous esophageal neoplasia, and every 1-kg/m2 increment is associated with 0.86-fold lower risk (p value = 0.008) for esophageal neoplasia (Table  1). The frequency of patients with presence of synchronous esophageal neoplasia was higher in those with hypopharyngeal cancer (12/32, 37.5%) and laryngeal cancer (4/8, 50%) than those with oral cavity cancer (8/63, 12.7%) and oropharyngeal cancer (6/22, 27.3%) (Table  1). The advanced stages, including 7th AJCC TNM stage III and IV, were associated with increased risk (OR 2.30, 95% CI 0.98-5.42) for esophageal neoplasia, but not statistically significant (p value = 0.056). Regarding the three common carcinogen exposures, only drinking alcohol was associated with a higher risk (OR 4.10, 95% CI 1.16-14.56, p value = 0.029) of esophageal neoplasia with a stepwise dose–response relationship (p value for trend = 0.009). Betel quid chewing was found to be associated with a lower risk (OR 0.37, 95% CI 0.16-0.84, p value = 0.018) of synchronous esophageal lesions. Compared with the proportion of betel quid chewers in oral cavity cancer subgroup, there were less betel quid chewers in the hypopharyngeal (48.4% vs. 68.3%, p = 0.03) and laryngeal cancer (25.0% vs. 68.3%, p = 0.01) subgroups (not shown in Table  1). The number of concomitant carcinogens used was not associated with an increased risk for esophageal neoplasia. In the multivariate logistic regression model (Table  2), age, gender, cigarette smoking, betel quid chewing and location of index H&N tumor were not associated with the risk for synchronous esophageal neoplasia. However, status regarding the drinking of alcohol (OR 5.90, 95% CI 1.23-26.44, p = 0.020), lower BMI (every 1-kg/m2 increment with OR 0.87, 95% CI 0.76-0.99, p = 0.036), and advanced stages (stage III&IV v.s. I&II) of index H&N cancers (OR 2.98, 95% CI 1.11-7.99, p = 0.030) were associated with higher risk for esophageal neoplasia. Multivariate logistic regression model for risk assessment * Abbreviation: H&N head and neck, OR odds ratio, CI confidence interval. *Risk assessment for esophageal low-grade, high-grade intraepithelial neoplasia, and invasive carcinoma. The characteristics of the esophageal lesions detected by IEE screening are summarized in Table  3. 15%, 43.3% and 41.7% of the lesions were found at the upper, middle and lower third of the esophagus, respectively. Among them, 23.3% and 20.0% were high-grade intraepithelial neoplasia (HGIN) and invasive submucosal carcinoma, respectively. Three esophageal lesions were Barrett’s esophagus presented with intestinal metaplasia. To detect low-grade intraepithelial neoplasia (LGIN), HGIN and invasive carcinoma, the diagnostic performance of NBI system with ME examination which had the sensitivity, specificity, and accuracy of 97.3%, 94.1% and 96.3%, respectively, was better than those of WLI system and LC (Table  3). Seven patients (13.2%) had multifocal esophageal lesions. Characteristics of esophageal lesions and diagnostic performance of endoscopy Abbreviation: WLI white-light imaging, NBI-ME narrow-band imaging system with magnifying endoscopy, LC Lugol’s chromoendoscopy, LGIN low-grade intraepithelial neoplasia, HGIN high-grade intraepithelial neoplasia. *Detection of low-grade, high-grade intraepithelial neoplasia and invasive carcinoma by histological confirmation. The treatment strategy had been modified in a total of 20 (15.5%) H&N cancer patients after the IEE examination. The number needed to screen for synchronous esophageal neoplasia to have a modified treatment strategy was 6.45(1/15.5%, 95% CI = 4.60-10.90). The characteristics of these patients are shown in Table  4. Among them, 4 patients had oral cavity cancer, 4 oropharyngeal cancer, 9 hypopharyngeal cancer, and 3 laryngeal cancer. For the staging of the head and neck cancer, there were 4, 4, 4 and 8 patients with stage I, II, III and IV, respectively. The esophageal lesions of these patients were four LGINs, four HGINs, and twelve invasive carcinomas (3, 5, 1 and 3 patients with stage IA, IB, IIA, and IIIA, respectively). Adding esophageal neoplasia into consideration for treatment planning, five patients received extended radiation field involving the esophageal lesions, six patients received esophagectomy, and nine patients were suggested for endoscopic treatment of the early esophageal neoplasia, including radiofrequency ablation, endoscopic mucosal resection or submucosal dissection (Figure  1E and 1F). Tumor board review of H&N cancer patients with modified treatment strategy after IEE screening Abbreviation: CCRT concurrent chemoradiotherapy, EMR endoscopic mucosal resection, ESD endoscopic submucosal dissection, H&N head and neck, HGIN high-grade intraepithelial neoplasia, IEE image-enhanced endoscopy, LN lymph node, LGIN low-grade intraepithelial neoplasia, RFA radiofrequency ablation, SCC squamous cell carcinoma.
Conclusions
The presence of synchronous esophageal neoplasia in H&N cancer patients is not uncommon. Routine IEE surveillance of the esophagus is very important to initial treatment strategy of newly diagnosed H&N cancer patients, especially for those with alcohol drinking habit, lower BMI, and advanced stage of index H&N tumor. We recommend the routine surveillance of esophagus by performing NBI system with ME examination in the initial staging workup of newly diagnosed N&N cancer patients with risk factors identified by this study, and the treatment of synchronous neoplasia should be taken into consideration.
[ "Background", "Study population and data collection", "Endoscopic examinations by IEE", "Histopathology and decision making of the treatment strategy", "Statistical analysis", "Limitations", "Abbreviations", "Competing interests", "Authors’ contributions", "Pre-publication history" ]
[ "Squamous cell carcinomas of the head and neck (H&N) region and the esophagus are common dismal malignancies globally, especially in the Western Pacific regions where carcinogen uses such as drinking alcohol, cigarette smoking and betel quid chewing are prevalent\n[1]. Mucosa of the upper aerodigestive tract (UADT) may be exposed to common carcinogens and at risk of early molecular alterations without histopathological changes, followed by malignant transformation\n[2]. According to population-based analyses, the risk and incidence of second primary cancers of the index head and neck, or esophagus are quite high\n[3-5], and without early detection, synchronous or metachronous carcinogenesis may lead to poor prognosis despite multidisciplinary treatment of the primary cancers\n[6-8]. Even with traditional panendoscopy screening for synchronous esophageal cancer, the treatment result was still poor\n[6].\nRecent advances in image-enhanced endoscopy (IEE) have enabled precancerous or early cancerous lesions visible more easily under endoscopic examination\n[9]. Using IEE examination, especially chromoendoscopy with Lugol’s solution and narrow-band imaging (NBI) system with high-resolution magnifying endoscopy (ME), dysplastic or cancerous lesions, and tumor invasion could be well delineated\n[9-17]. The prevalence of high grade intraepithelial neoplasia or invasive carcinoma of the esophagus in population at high risk, such as alcoholics or H&N cancer patients, is around 3.2 to 28% by IEE screening\n[11]. To triage and allocate H&N cancer patients at higher risk for esophageal neoplasia to surveillance program becomes important and cost-effective. However, routine application of endoscopic surveillance of esophagus is not a consensus nowadays, and which population benefit from the screening policy has not been well defined.\nAlthough previous studies have found certain risk factors for synchronous esophageal neoplasia in H&N cancer patients\n[12,13], there was no prospective study using routine application of NBI-ME and Lugol’s chromoendoscopy screening with standardized pathological classification. The aim of this prospective study was to determine the prevalence and risk factors for synchronous esophageal neoplasia and the impact of routine IEE screening on the decision making for the management of newly diagnosed H&N cancer patients.", "We prospectively recruited 168 adults older than 20-year-old who had newly diagnosed H&N cancers that were confirmed by two otolaryngologists (L.-J. L., W.-C. L.) from March 2010 to March 2012 at the Far Eastern Memorial Hospital in New Taipei City, Taiwan. We excluded patients with salivary gland tumors, who needed emergent surgery for compromised airways or tumor bleeding, allergic history to iodine and pregnant. A total of 129 patients were referred to gastroenterologists for IEE screening before treatment. The study population was separated into two groups: H&N cancer patients with, and without synchronous esophageal neoplasia. Demographic characteristics, including age, gender, body mass index (BMI), and the status of habitual use of common carcinogens for UADT cancers, including drinking alcohol, cigarette smoking, and betel quid chewing, were gathered. The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels (Table \n1 footnotes). All the participants provided written informed consent before endoscopic examination. This study was approved by the Research Ethics Review Committee of Far Eastern Memorial Hospital (FEMH IRB-101022-E).\nDemographic characteristics and risk assessment of the study population\nAbbreviation: BMI body mass index, H&N head and neck, NA not applicable, OR odds ratio, CI confidence interval.\n*Including low-grade, high-grade intraepithelial neoplasia and invasive carcinoma; + Risk assessment every 1-kg/m2 increment.\nNote that the lifestyle risk factors were recorded according to the frequencies (alcohol on a weekly basis where one time indicates at least 15.75 gm of ethanol: 0, never; 1, once; 2, once to twice; 3, 3–4 times; and 4, ≥5 times; betel quid on a piece per day basis: 0, never; 1, <1 piece; 2, 1–10 pieces; 3, 11–20 pieces; and 4, >20 pieces; cigarettes on a pack per day basis: 0, never; 1, <0.5 pack; 2, 0.5–1 pack; 3, 1–2 packs; and 4, >2 packs) and duration (0, never; 1, <1 year; 2, 1–10 years; 3, 11–20 years; and 4, >20 years). The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels: level 1, never (0); level 2, light to moderate (1–11); and level 3, heavy (≥12).", "All of the patients received endoscopic examinations with NBI and ME which has powerful 80 times optical magnification (EVIS LUCERA CLV-260NBI, GIF-H260Z endoscopy, Olympus Medical Systems Corp, Tokyo, Japan), and chromoendoscopy with Lugol’s solution (Sigma-Aldrich, St. Louis, Missouri, USA). All endoscopic examinations were performed by one well-trained endoscopist (C.-S. C.). First, the oral cavity, oropharynx and hypopharynx were evaluated under NBI system\n[14,15]. The nasopharynx was not examined by endoscopy, but by otolaryngologists. Secondly, the esophagus was examined by white-light imaging (WLI) endoscopy from the esophageal inlet to the esophagogastric junction, and then repeatedly evaluated backward under NBI-ME. After NBI examination, we switched back to WLI and sprayed 10 to 20 mL of 1.5% Lugol solution evenly over the mucosa from esophagogastric junction to upper esophagus. The criteria of suspected lesions were defined as a hyperemic change, uneven or nodularity of mucosa under WLI system (Figure \n1A), or brownish discoloration of mucosa with abnormal epithelial capillary pattern (Inoue’s Classification type III ~ V) under NBI-ME system (Figure \n1B and\n1C)\n[9,10,16,17], or a well-demarcated Lugol-unstained area (Figure \n1D) with a diameter greater than 5 mm or any Lugol-voiding lesions accompanied with pink-silver sign which is often associated with high-grade neoplasia\n[18]. Finally, the stomach, and the first and second portion of the duodenum, were examined under WLI using the typical panendoscopic procedure. Endoscopic biopsy was done for all suspected lesions fulfilling the criteria mentioned above with histological results served as reference standard.\nEndoscopic surveillance and management of synchronous high-grade intraepithelial neoplasia of esophagus in a laryngeal cancer patient. A, A flat superficial neoplasia with hyperemia in white-light imaging system. B, A superficial neoplasia with brownish discoloration under narrow-band imaging system. C, Lugol-voiding of the neoplasia after spraying a 1.5% Lugol’s solution. D, Abnormal intraepithelial capillary loops under narrow-band imaging system with magnifying endoscopy. E, Endoscopic submucosal dissection of the superficial neoplasia. F, Mucosal cancer invading the lamina propria (main picture: HE stain, 40x; right bottom: HE stain, 100x).", "The biopsied tissues were examined by an experienced pathologist (Y.-H.C.) and classified by the revised Vienna classification of epithelial neoplasia\n[19]. Chronic inflammation and squamous hyperplasia belong to the diagnosis of indefinite for neoplasia. Esophageal invasive carcinoma and squamous dysplasia which are associated with increased risk for developing malignancy were included for risk analysis\n[20]. The 7th edition of the American Joint Committee on Cancer (AJCC) and the International Union for Cancer Control tumor-node-metastasis system was used for tumor staging\n[21], and the treatment planning for head and neck cancer patients was made by tumor board review. After a complete review of the medical condition of each patient and the information from local findings, endoscopic and radiological examinations, the final treatment option for H&N cancer patients were discussed and made by gastroenterologists, radio-oncologists, surgical and medical oncologists.", "Continuous variables were expressed as mean ± standard deviation and the comparisons between groups were performed using the Student t-test; categorical variables were summarized as count (%) and the comparisons between groups were made using the χ2 or the Fisher’s exact test when appropriate. Univariate and multivariate logistic regression models were performed for evaluation of the demographic and carcinogenic risk factors for synchronous esophageal neoplasia in H&N cancer patients. Cochrane-Armitage trend test was used for the investigation of the dose–response cancer risk predicting power of carcinogens. The sensitivity, specificity and accuracy of different IEE methods to detect esophageal neoplasia were calculated according to the pathological findings served as standard reference. A two-tailed p value <0.05 was considered as statistically significant. The statistical analysis was performed using STATA software (version 11.0; Stata Corp, College Station, TX, USA).", "There were some limitations of this study. First, the sample size of study population was small and it was difficult to perform subgroup analysis for different location of H&N cancer (Table \n1). Larger scale investigation is necessary to define H&N cancer patients with highest risk for synchronous esophageal neoplasia. Secondly, the result of this study disclosed the risk factors for synchronous esophageal neoplasia and whether it is true for metachronous lesions was not well-defined. Third, the study was conducted in one single tertiary hospital and all endoscopic examinations were done by one well-trained endoscopist. Although all biopsied suspicious esophageal lesions were defined by single endoscopist, there would be no inter-observer bias in this study. Finally, endoscopic surveillance of esophagus in newly diagnosed H&N cancer patients did change the treatment strategy at a high rate in the result. In the result, four H&N cancer patients (two and one with oropharyngeal cancers at stage II and III, respectively; one with hypopharyngeal cancer at stage I) had synchronous esophageal LGINs (Table \n4). Because these esophageal LGINs, which have a relative risk of 2.9 (95% CI 1.6-5.2) for developing malignancy\n[20], were with small size (≦0.5 cm) and presented in primary H&N cancers at early stage, tumor board decision with curative endoscopic ablation treatment were made. However, whether concomitant management of H&N cancers and synchronous esophageal neoplasia has an impact on the survival still needs longer follow-up study in the future.", "H&N: Head and neck; NBI: Narrow-band imaging; ME: Magnifying endoscopy; OR: Odds ratio; CI: Confidence interval; BMI: Body mass index; UADT: Upper aerodigestive tract; IEE: Image-enhanced endoscopy; WLI: White-light imaging; AJCC: American Joint Committee on Cancer; HGIN: High-grade intraepithelial neoplasia; LGIN: Low-grade intraepithelial neoplasia.", "The authors declare that they have no competing interests.", "1) Conception and design: CSC, LJL, THL. 2) Analysis and interpretation of the data: CSC, LJL, WCL, YHC, YCC, YCL, WFH, PWS, THL. 3) Drafting of the article: CSC, LJL, THL. 4) Critical revision of the article for important intellectual content: CSC, LJL, WCL, THL. 5) Final approval of the article: CSC, LJL, WCL, YHC, YCC, YCL, WFH, PWS, THL. All authors read and approved the final manuscript.", "The pre-publication history for this paper can be accessed here:\n\nhttp://www.biomedcentral.com/1471-230X/13/154/prepub\n" ]
[ null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Study population and data collection", "Endoscopic examinations by IEE", "Histopathology and decision making of the treatment strategy", "Statistical analysis", "Results", "Discussion", "Limitations", "Conclusions", "Abbreviations", "Competing interests", "Authors’ contributions", "Pre-publication history" ]
[ "Squamous cell carcinomas of the head and neck (H&N) region and the esophagus are common dismal malignancies globally, especially in the Western Pacific regions where carcinogen uses such as drinking alcohol, cigarette smoking and betel quid chewing are prevalent\n[1]. Mucosa of the upper aerodigestive tract (UADT) may be exposed to common carcinogens and at risk of early molecular alterations without histopathological changes, followed by malignant transformation\n[2]. According to population-based analyses, the risk and incidence of second primary cancers of the index head and neck, or esophagus are quite high\n[3-5], and without early detection, synchronous or metachronous carcinogenesis may lead to poor prognosis despite multidisciplinary treatment of the primary cancers\n[6-8]. Even with traditional panendoscopy screening for synchronous esophageal cancer, the treatment result was still poor\n[6].\nRecent advances in image-enhanced endoscopy (IEE) have enabled precancerous or early cancerous lesions visible more easily under endoscopic examination\n[9]. Using IEE examination, especially chromoendoscopy with Lugol’s solution and narrow-band imaging (NBI) system with high-resolution magnifying endoscopy (ME), dysplastic or cancerous lesions, and tumor invasion could be well delineated\n[9-17]. The prevalence of high grade intraepithelial neoplasia or invasive carcinoma of the esophagus in population at high risk, such as alcoholics or H&N cancer patients, is around 3.2 to 28% by IEE screening\n[11]. To triage and allocate H&N cancer patients at higher risk for esophageal neoplasia to surveillance program becomes important and cost-effective. However, routine application of endoscopic surveillance of esophagus is not a consensus nowadays, and which population benefit from the screening policy has not been well defined.\nAlthough previous studies have found certain risk factors for synchronous esophageal neoplasia in H&N cancer patients\n[12,13], there was no prospective study using routine application of NBI-ME and Lugol’s chromoendoscopy screening with standardized pathological classification. The aim of this prospective study was to determine the prevalence and risk factors for synchronous esophageal neoplasia and the impact of routine IEE screening on the decision making for the management of newly diagnosed H&N cancer patients.", " Study population and data collection We prospectively recruited 168 adults older than 20-year-old who had newly diagnosed H&N cancers that were confirmed by two otolaryngologists (L.-J. L., W.-C. L.) from March 2010 to March 2012 at the Far Eastern Memorial Hospital in New Taipei City, Taiwan. We excluded patients with salivary gland tumors, who needed emergent surgery for compromised airways or tumor bleeding, allergic history to iodine and pregnant. A total of 129 patients were referred to gastroenterologists for IEE screening before treatment. The study population was separated into two groups: H&N cancer patients with, and without synchronous esophageal neoplasia. Demographic characteristics, including age, gender, body mass index (BMI), and the status of habitual use of common carcinogens for UADT cancers, including drinking alcohol, cigarette smoking, and betel quid chewing, were gathered. The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels (Table \n1 footnotes). All the participants provided written informed consent before endoscopic examination. This study was approved by the Research Ethics Review Committee of Far Eastern Memorial Hospital (FEMH IRB-101022-E).\nDemographic characteristics and risk assessment of the study population\nAbbreviation: BMI body mass index, H&N head and neck, NA not applicable, OR odds ratio, CI confidence interval.\n*Including low-grade, high-grade intraepithelial neoplasia and invasive carcinoma; + Risk assessment every 1-kg/m2 increment.\nNote that the lifestyle risk factors were recorded according to the frequencies (alcohol on a weekly basis where one time indicates at least 15.75 gm of ethanol: 0, never; 1, once; 2, once to twice; 3, 3–4 times; and 4, ≥5 times; betel quid on a piece per day basis: 0, never; 1, <1 piece; 2, 1–10 pieces; 3, 11–20 pieces; and 4, >20 pieces; cigarettes on a pack per day basis: 0, never; 1, <0.5 pack; 2, 0.5–1 pack; 3, 1–2 packs; and 4, >2 packs) and duration (0, never; 1, <1 year; 2, 1–10 years; 3, 11–20 years; and 4, >20 years). The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels: level 1, never (0); level 2, light to moderate (1–11); and level 3, heavy (≥12).\nWe prospectively recruited 168 adults older than 20-year-old who had newly diagnosed H&N cancers that were confirmed by two otolaryngologists (L.-J. L., W.-C. L.) from March 2010 to March 2012 at the Far Eastern Memorial Hospital in New Taipei City, Taiwan. We excluded patients with salivary gland tumors, who needed emergent surgery for compromised airways or tumor bleeding, allergic history to iodine and pregnant. A total of 129 patients were referred to gastroenterologists for IEE screening before treatment. The study population was separated into two groups: H&N cancer patients with, and without synchronous esophageal neoplasia. Demographic characteristics, including age, gender, body mass index (BMI), and the status of habitual use of common carcinogens for UADT cancers, including drinking alcohol, cigarette smoking, and betel quid chewing, were gathered. The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels (Table \n1 footnotes). All the participants provided written informed consent before endoscopic examination. This study was approved by the Research Ethics Review Committee of Far Eastern Memorial Hospital (FEMH IRB-101022-E).\nDemographic characteristics and risk assessment of the study population\nAbbreviation: BMI body mass index, H&N head and neck, NA not applicable, OR odds ratio, CI confidence interval.\n*Including low-grade, high-grade intraepithelial neoplasia and invasive carcinoma; + Risk assessment every 1-kg/m2 increment.\nNote that the lifestyle risk factors were recorded according to the frequencies (alcohol on a weekly basis where one time indicates at least 15.75 gm of ethanol: 0, never; 1, once; 2, once to twice; 3, 3–4 times; and 4, ≥5 times; betel quid on a piece per day basis: 0, never; 1, <1 piece; 2, 1–10 pieces; 3, 11–20 pieces; and 4, >20 pieces; cigarettes on a pack per day basis: 0, never; 1, <0.5 pack; 2, 0.5–1 pack; 3, 1–2 packs; and 4, >2 packs) and duration (0, never; 1, <1 year; 2, 1–10 years; 3, 11–20 years; and 4, >20 years). The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels: level 1, never (0); level 2, light to moderate (1–11); and level 3, heavy (≥12).\n Endoscopic examinations by IEE All of the patients received endoscopic examinations with NBI and ME which has powerful 80 times optical magnification (EVIS LUCERA CLV-260NBI, GIF-H260Z endoscopy, Olympus Medical Systems Corp, Tokyo, Japan), and chromoendoscopy with Lugol’s solution (Sigma-Aldrich, St. Louis, Missouri, USA). All endoscopic examinations were performed by one well-trained endoscopist (C.-S. C.). First, the oral cavity, oropharynx and hypopharynx were evaluated under NBI system\n[14,15]. The nasopharynx was not examined by endoscopy, but by otolaryngologists. Secondly, the esophagus was examined by white-light imaging (WLI) endoscopy from the esophageal inlet to the esophagogastric junction, and then repeatedly evaluated backward under NBI-ME. After NBI examination, we switched back to WLI and sprayed 10 to 20 mL of 1.5% Lugol solution evenly over the mucosa from esophagogastric junction to upper esophagus. The criteria of suspected lesions were defined as a hyperemic change, uneven or nodularity of mucosa under WLI system (Figure \n1A), or brownish discoloration of mucosa with abnormal epithelial capillary pattern (Inoue’s Classification type III ~ V) under NBI-ME system (Figure \n1B and\n1C)\n[9,10,16,17], or a well-demarcated Lugol-unstained area (Figure \n1D) with a diameter greater than 5 mm or any Lugol-voiding lesions accompanied with pink-silver sign which is often associated with high-grade neoplasia\n[18]. Finally, the stomach, and the first and second portion of the duodenum, were examined under WLI using the typical panendoscopic procedure. Endoscopic biopsy was done for all suspected lesions fulfilling the criteria mentioned above with histological results served as reference standard.\nEndoscopic surveillance and management of synchronous high-grade intraepithelial neoplasia of esophagus in a laryngeal cancer patient. A, A flat superficial neoplasia with hyperemia in white-light imaging system. B, A superficial neoplasia with brownish discoloration under narrow-band imaging system. C, Lugol-voiding of the neoplasia after spraying a 1.5% Lugol’s solution. D, Abnormal intraepithelial capillary loops under narrow-band imaging system with magnifying endoscopy. E, Endoscopic submucosal dissection of the superficial neoplasia. F, Mucosal cancer invading the lamina propria (main picture: HE stain, 40x; right bottom: HE stain, 100x).\nAll of the patients received endoscopic examinations with NBI and ME which has powerful 80 times optical magnification (EVIS LUCERA CLV-260NBI, GIF-H260Z endoscopy, Olympus Medical Systems Corp, Tokyo, Japan), and chromoendoscopy with Lugol’s solution (Sigma-Aldrich, St. Louis, Missouri, USA). All endoscopic examinations were performed by one well-trained endoscopist (C.-S. C.). First, the oral cavity, oropharynx and hypopharynx were evaluated under NBI system\n[14,15]. The nasopharynx was not examined by endoscopy, but by otolaryngologists. Secondly, the esophagus was examined by white-light imaging (WLI) endoscopy from the esophageal inlet to the esophagogastric junction, and then repeatedly evaluated backward under NBI-ME. After NBI examination, we switched back to WLI and sprayed 10 to 20 mL of 1.5% Lugol solution evenly over the mucosa from esophagogastric junction to upper esophagus. The criteria of suspected lesions were defined as a hyperemic change, uneven or nodularity of mucosa under WLI system (Figure \n1A), or brownish discoloration of mucosa with abnormal epithelial capillary pattern (Inoue’s Classification type III ~ V) under NBI-ME system (Figure \n1B and\n1C)\n[9,10,16,17], or a well-demarcated Lugol-unstained area (Figure \n1D) with a diameter greater than 5 mm or any Lugol-voiding lesions accompanied with pink-silver sign which is often associated with high-grade neoplasia\n[18]. Finally, the stomach, and the first and second portion of the duodenum, were examined under WLI using the typical panendoscopic procedure. Endoscopic biopsy was done for all suspected lesions fulfilling the criteria mentioned above with histological results served as reference standard.\nEndoscopic surveillance and management of synchronous high-grade intraepithelial neoplasia of esophagus in a laryngeal cancer patient. A, A flat superficial neoplasia with hyperemia in white-light imaging system. B, A superficial neoplasia with brownish discoloration under narrow-band imaging system. C, Lugol-voiding of the neoplasia after spraying a 1.5% Lugol’s solution. D, Abnormal intraepithelial capillary loops under narrow-band imaging system with magnifying endoscopy. E, Endoscopic submucosal dissection of the superficial neoplasia. F, Mucosal cancer invading the lamina propria (main picture: HE stain, 40x; right bottom: HE stain, 100x).\n Histopathology and decision making of the treatment strategy The biopsied tissues were examined by an experienced pathologist (Y.-H.C.) and classified by the revised Vienna classification of epithelial neoplasia\n[19]. Chronic inflammation and squamous hyperplasia belong to the diagnosis of indefinite for neoplasia. Esophageal invasive carcinoma and squamous dysplasia which are associated with increased risk for developing malignancy were included for risk analysis\n[20]. The 7th edition of the American Joint Committee on Cancer (AJCC) and the International Union for Cancer Control tumor-node-metastasis system was used for tumor staging\n[21], and the treatment planning for head and neck cancer patients was made by tumor board review. After a complete review of the medical condition of each patient and the information from local findings, endoscopic and radiological examinations, the final treatment option for H&N cancer patients were discussed and made by gastroenterologists, radio-oncologists, surgical and medical oncologists.\nThe biopsied tissues were examined by an experienced pathologist (Y.-H.C.) and classified by the revised Vienna classification of epithelial neoplasia\n[19]. Chronic inflammation and squamous hyperplasia belong to the diagnosis of indefinite for neoplasia. Esophageal invasive carcinoma and squamous dysplasia which are associated with increased risk for developing malignancy were included for risk analysis\n[20]. The 7th edition of the American Joint Committee on Cancer (AJCC) and the International Union for Cancer Control tumor-node-metastasis system was used for tumor staging\n[21], and the treatment planning for head and neck cancer patients was made by tumor board review. After a complete review of the medical condition of each patient and the information from local findings, endoscopic and radiological examinations, the final treatment option for H&N cancer patients were discussed and made by gastroenterologists, radio-oncologists, surgical and medical oncologists.\n Statistical analysis Continuous variables were expressed as mean ± standard deviation and the comparisons between groups were performed using the Student t-test; categorical variables were summarized as count (%) and the comparisons between groups were made using the χ2 or the Fisher’s exact test when appropriate. Univariate and multivariate logistic regression models were performed for evaluation of the demographic and carcinogenic risk factors for synchronous esophageal neoplasia in H&N cancer patients. Cochrane-Armitage trend test was used for the investigation of the dose–response cancer risk predicting power of carcinogens. The sensitivity, specificity and accuracy of different IEE methods to detect esophageal neoplasia were calculated according to the pathological findings served as standard reference. A two-tailed p value <0.05 was considered as statistically significant. The statistical analysis was performed using STATA software (version 11.0; Stata Corp, College Station, TX, USA).\nContinuous variables were expressed as mean ± standard deviation and the comparisons between groups were performed using the Student t-test; categorical variables were summarized as count (%) and the comparisons between groups were made using the χ2 or the Fisher’s exact test when appropriate. Univariate and multivariate logistic regression models were performed for evaluation of the demographic and carcinogenic risk factors for synchronous esophageal neoplasia in H&N cancer patients. Cochrane-Armitage trend test was used for the investigation of the dose–response cancer risk predicting power of carcinogens. The sensitivity, specificity and accuracy of different IEE methods to detect esophageal neoplasia were calculated according to the pathological findings served as standard reference. A two-tailed p value <0.05 was considered as statistically significant. The statistical analysis was performed using STATA software (version 11.0; Stata Corp, College Station, TX, USA).", "We prospectively recruited 168 adults older than 20-year-old who had newly diagnosed H&N cancers that were confirmed by two otolaryngologists (L.-J. L., W.-C. L.) from March 2010 to March 2012 at the Far Eastern Memorial Hospital in New Taipei City, Taiwan. We excluded patients with salivary gland tumors, who needed emergent surgery for compromised airways or tumor bleeding, allergic history to iodine and pregnant. A total of 129 patients were referred to gastroenterologists for IEE screening before treatment. The study population was separated into two groups: H&N cancer patients with, and without synchronous esophageal neoplasia. Demographic characteristics, including age, gender, body mass index (BMI), and the status of habitual use of common carcinogens for UADT cancers, including drinking alcohol, cigarette smoking, and betel quid chewing, were gathered. The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels (Table \n1 footnotes). All the participants provided written informed consent before endoscopic examination. This study was approved by the Research Ethics Review Committee of Far Eastern Memorial Hospital (FEMH IRB-101022-E).\nDemographic characteristics and risk assessment of the study population\nAbbreviation: BMI body mass index, H&N head and neck, NA not applicable, OR odds ratio, CI confidence interval.\n*Including low-grade, high-grade intraepithelial neoplasia and invasive carcinoma; + Risk assessment every 1-kg/m2 increment.\nNote that the lifestyle risk factors were recorded according to the frequencies (alcohol on a weekly basis where one time indicates at least 15.75 gm of ethanol: 0, never; 1, once; 2, once to twice; 3, 3–4 times; and 4, ≥5 times; betel quid on a piece per day basis: 0, never; 1, <1 piece; 2, 1–10 pieces; 3, 11–20 pieces; and 4, >20 pieces; cigarettes on a pack per day basis: 0, never; 1, <0.5 pack; 2, 0.5–1 pack; 3, 1–2 packs; and 4, >2 packs) and duration (0, never; 1, <1 year; 2, 1–10 years; 3, 11–20 years; and 4, >20 years). The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels: level 1, never (0); level 2, light to moderate (1–11); and level 3, heavy (≥12).", "All of the patients received endoscopic examinations with NBI and ME which has powerful 80 times optical magnification (EVIS LUCERA CLV-260NBI, GIF-H260Z endoscopy, Olympus Medical Systems Corp, Tokyo, Japan), and chromoendoscopy with Lugol’s solution (Sigma-Aldrich, St. Louis, Missouri, USA). All endoscopic examinations were performed by one well-trained endoscopist (C.-S. C.). First, the oral cavity, oropharynx and hypopharynx were evaluated under NBI system\n[14,15]. The nasopharynx was not examined by endoscopy, but by otolaryngologists. Secondly, the esophagus was examined by white-light imaging (WLI) endoscopy from the esophageal inlet to the esophagogastric junction, and then repeatedly evaluated backward under NBI-ME. After NBI examination, we switched back to WLI and sprayed 10 to 20 mL of 1.5% Lugol solution evenly over the mucosa from esophagogastric junction to upper esophagus. The criteria of suspected lesions were defined as a hyperemic change, uneven or nodularity of mucosa under WLI system (Figure \n1A), or brownish discoloration of mucosa with abnormal epithelial capillary pattern (Inoue’s Classification type III ~ V) under NBI-ME system (Figure \n1B and\n1C)\n[9,10,16,17], or a well-demarcated Lugol-unstained area (Figure \n1D) with a diameter greater than 5 mm or any Lugol-voiding lesions accompanied with pink-silver sign which is often associated with high-grade neoplasia\n[18]. Finally, the stomach, and the first and second portion of the duodenum, were examined under WLI using the typical panendoscopic procedure. Endoscopic biopsy was done for all suspected lesions fulfilling the criteria mentioned above with histological results served as reference standard.\nEndoscopic surveillance and management of synchronous high-grade intraepithelial neoplasia of esophagus in a laryngeal cancer patient. A, A flat superficial neoplasia with hyperemia in white-light imaging system. B, A superficial neoplasia with brownish discoloration under narrow-band imaging system. C, Lugol-voiding of the neoplasia after spraying a 1.5% Lugol’s solution. D, Abnormal intraepithelial capillary loops under narrow-band imaging system with magnifying endoscopy. E, Endoscopic submucosal dissection of the superficial neoplasia. F, Mucosal cancer invading the lamina propria (main picture: HE stain, 40x; right bottom: HE stain, 100x).", "The biopsied tissues were examined by an experienced pathologist (Y.-H.C.) and classified by the revised Vienna classification of epithelial neoplasia\n[19]. Chronic inflammation and squamous hyperplasia belong to the diagnosis of indefinite for neoplasia. Esophageal invasive carcinoma and squamous dysplasia which are associated with increased risk for developing malignancy were included for risk analysis\n[20]. The 7th edition of the American Joint Committee on Cancer (AJCC) and the International Union for Cancer Control tumor-node-metastasis system was used for tumor staging\n[21], and the treatment planning for head and neck cancer patients was made by tumor board review. After a complete review of the medical condition of each patient and the information from local findings, endoscopic and radiological examinations, the final treatment option for H&N cancer patients were discussed and made by gastroenterologists, radio-oncologists, surgical and medical oncologists.", "Continuous variables were expressed as mean ± standard deviation and the comparisons between groups were performed using the Student t-test; categorical variables were summarized as count (%) and the comparisons between groups were made using the χ2 or the Fisher’s exact test when appropriate. Univariate and multivariate logistic regression models were performed for evaluation of the demographic and carcinogenic risk factors for synchronous esophageal neoplasia in H&N cancer patients. Cochrane-Armitage trend test was used for the investigation of the dose–response cancer risk predicting power of carcinogens. The sensitivity, specificity and accuracy of different IEE methods to detect esophageal neoplasia were calculated according to the pathological findings served as standard reference. A two-tailed p value <0.05 was considered as statistically significant. The statistical analysis was performed using STATA software (version 11.0; Stata Corp, College Station, TX, USA).", "The demographic characteristics of the study population and risk assessment by univariate logistic regression analysis of these factors are shown in Table \n1. A total of 122 male and 7 female head and neck cancer patients were enrolled. Sixty defined suspicious esophageal lesions were biopsied from 53 (41.1%) patients after IEE screening and 30 (23.3%) patients had the presence of dysplastic or cancerous lesions by histopathological examination.\nCompared with H&N cancer patients without synchronous esophageal neoplasia, the mean age and sex ratio of those with synchronous esophageal neoplasia were not significantly different. However, the BMI is lower in the group with synchronous esophageal neoplasia, and every 1-kg/m2 increment is associated with 0.86-fold lower risk (p value = 0.008) for esophageal neoplasia (Table \n1). The frequency of patients with presence of synchronous esophageal neoplasia was higher in those with hypopharyngeal cancer (12/32, 37.5%) and laryngeal cancer (4/8, 50%) than those with oral cavity cancer (8/63, 12.7%) and oropharyngeal cancer (6/22, 27.3%) (Table \n1). The advanced stages, including 7th AJCC TNM stage III and IV, were associated with increased risk (OR 2.30, 95% CI 0.98-5.42) for esophageal neoplasia, but not statistically significant (p value = 0.056). Regarding the three common carcinogen exposures, only drinking alcohol was associated with a higher risk (OR 4.10, 95% CI 1.16-14.56, p value = 0.029) of esophageal neoplasia with a stepwise dose–response relationship (p value for trend = 0.009). Betel quid chewing was found to be associated with a lower risk (OR 0.37, 95% CI 0.16-0.84, p value = 0.018) of synchronous esophageal lesions. Compared with the proportion of betel quid chewers in oral cavity cancer subgroup, there were less betel quid chewers in the hypopharyngeal (48.4% vs. 68.3%, p = 0.03) and laryngeal cancer (25.0% vs. 68.3%, p = 0.01) subgroups (not shown in Table \n1). The number of concomitant carcinogens used was not associated with an increased risk for esophageal neoplasia.\nIn the multivariate logistic regression model (Table \n2), age, gender, cigarette smoking, betel quid chewing and location of index H&N tumor were not associated with the risk for synchronous esophageal neoplasia. However, status regarding the drinking of alcohol (OR 5.90, 95% CI 1.23-26.44, p = 0.020), lower BMI (every 1-kg/m2 increment with OR 0.87, 95% CI 0.76-0.99, p = 0.036), and advanced stages (stage III&IV v.s. I&II) of index H&N cancers (OR 2.98, 95% CI 1.11-7.99, p = 0.030) were associated with higher risk for esophageal neoplasia.\n\nMultivariate logistic regression model for risk assessment\n\n*\n\n\nAbbreviation: H&N head and neck, OR odds ratio, CI confidence interval.\n*Risk assessment for esophageal low-grade, high-grade intraepithelial neoplasia, and invasive carcinoma.\nThe characteristics of the esophageal lesions detected by IEE screening are summarized in Table \n3. 15%, 43.3% and 41.7% of the lesions were found at the upper, middle and lower third of the esophagus, respectively. Among them, 23.3% and 20.0% were high-grade intraepithelial neoplasia (HGIN) and invasive submucosal carcinoma, respectively. Three esophageal lesions were Barrett’s esophagus presented with intestinal metaplasia. To detect low-grade intraepithelial neoplasia (LGIN), HGIN and invasive carcinoma, the diagnostic performance of NBI system with ME examination which had the sensitivity, specificity, and accuracy of 97.3%, 94.1% and 96.3%, respectively, was better than those of WLI system and LC (Table \n3). Seven patients (13.2%) had multifocal esophageal lesions.\nCharacteristics of esophageal lesions and diagnostic performance of endoscopy\nAbbreviation: WLI white-light imaging, NBI-ME narrow-band imaging system with magnifying endoscopy, LC Lugol’s chromoendoscopy, LGIN low-grade intraepithelial neoplasia, HGIN high-grade intraepithelial neoplasia.\n*Detection of low-grade, high-grade intraepithelial neoplasia and invasive carcinoma by histological confirmation.\nThe treatment strategy had been modified in a total of 20 (15.5%) H&N cancer patients after the IEE examination. The number needed to screen for synchronous esophageal neoplasia to have a modified treatment strategy was 6.45(1/15.5%, 95% CI = 4.60-10.90). The characteristics of these patients are shown in Table \n4. Among them, 4 patients had oral cavity cancer, 4 oropharyngeal cancer, 9 hypopharyngeal cancer, and 3 laryngeal cancer. For the staging of the head and neck cancer, there were 4, 4, 4 and 8 patients with stage I, II, III and IV, respectively. The esophageal lesions of these patients were four LGINs, four HGINs, and twelve invasive carcinomas (3, 5, 1 and 3 patients with stage IA, IB, IIA, and IIIA, respectively). Adding esophageal neoplasia into consideration for treatment planning, five patients received extended radiation field involving the esophageal lesions, six patients received esophagectomy, and nine patients were suggested for endoscopic treatment of the early esophageal neoplasia, including radiofrequency ablation, endoscopic mucosal resection or submucosal dissection (Figure \n1E and\n1F).\nTumor board review of H&N cancer patients with modified treatment strategy after IEE screening\nAbbreviation: CCRT concurrent chemoradiotherapy, EMR endoscopic mucosal resection, ESD endoscopic submucosal dissection, H&N head and neck, HGIN high-grade intraepithelial neoplasia, IEE image-enhanced endoscopy, LN lymph node, LGIN low-grade intraepithelial neoplasia, RFA radiofrequency ablation, SCC squamous cell carcinoma.", "The development of second primary malignancy of esophagus, H&N region or lung in UADT cancer patients is high\n[4,5,7,22,23]. A nationwide study in Taiwan, where the prevalence of drinking alcohol, cigarette smoking and betel quid chewing is high, has shown that the standardized incidence ratio (SIR) of esophageal cancer in patients with head and neck cancer is significantly increased\n[4]. Supported by the concept of “field carcinogenesis”\n[2], cancer may develop synchronously or metachronously in the UADT. Moreover, the survival rate of those with second primary tumor, especially with esophageal cancer, is significantly lower (5-year survival rate only 6%) than those without second primary malignancy\n[7,24]. Therefore, it is important to perform surveillance of the esophagus in H&N cancer patients to improve overall outcome. In this study, we have found that drinking alcohol, lower BMI, and advanced stages of the index H&N cancer were associated with a higher risk for synchronous esophageal neoplasia, and the endoscopy examination by the NBI system with ME may be the best screening modality available.\nCarcinogen consumption largely contributes to the development of the UADT malignancy, including the cancer of H&N region and the esophagus\n[1]. Among the common psychoactive substances, alcohol, tobacco and betel nut are well-known carcinogens for the squamous cell carcinoma of H&N region and the esophagus\n[1,11]. In our study, we have found that only drinking alcohol was the independent risk factor for synchronous esophageal neoplasia by univariate and multivariate analyses (Table \n1 and\n2). Cigarette smoking and betel quid chewing were not associated with higher risk for synchronous second primary tumor of the esophagus in multivariate logistic regression model. Besides, higher cumulative doses of alcohol lead to a higher risk for esophageal lesions (Table \n1). Acetaldehyde, the intermediate metabolite of the ethanol, is mainly responsible for the systemic carcinogenic effect of alcohol\n[25,26]. The systemic effect of cigarette smoking and betel quit chewing is not as conspicuous as ethanol; by contrast, the inhaled tobacco smoke and topical contact of arecoline in betel nut contributes to the cancer of the respiratory tract, oral cavity and pharynx predominantly, rather than the esophagus\n[7,25-27]. This hypothesis could explain the reason why drinking alcohol, but not cigarette smoking or betel quid chewing, is associated with a higher risk for esophageal neoplasia in H&N cancer patients. In our study, betel quid chewing was found with lower risk for synchronous esophageal neoplasia in the univariate analysis (Table \n1), but without statistical significance by multivariate logistic regression model (Table \n2). Because in the univariate analysis, the hypopharyngeal and laryngeal cancers were associated with higher risk of esophageal neoplasia than oral cavity cancer, the interesting finding may result from lower proportion of betel quid chewers in the hypopharyngeal and laryngeal cancer patients than those in oral cavity cancer patients.\nRegarding the location of H&N cancers, some researchers have found the tendency of esophageal cancer in patients with oropharyngeal and hypopharyngeal cancers, and the tendency of lung cancer in patients with laryngeal cancer\n[7,13]. Although the results were based on the hypothesis of the cancerization in respiratory and digestive axes\n[22], other investigation did not report the similar result\n[4]. In a nationwide database study\n[4], the incidence of second primary cancer is higher for esophageal cancer (SIR 8.71, 95% CI 7.55-10.01) than for lung cancer (SIR 1.56, 95% CI1.34-1.80) in laryngeal cancer patients. In our study, the fact that higher proportion of betel quid chewing, which was negatively associated with risk of second primary esophageal neoplasm (OR 0.37, 95% CI 0.16-0.84) for H&N cancer patients, in the oral cancer group than the hypopharyngeal and laryngeal cancer patients might be the reason why the esophageal neoplasia less coexisted with oral cancer patients by univariate analysis, and the locations of index H&N cancer were not an independent risk factor for synchronous esophageal neoplasia in multivariate analysis (Table \n1 and\n2). Moreover, cancers of hypopharynx and larynx are more closely associated with alcohol consumption than oral cancers\n[28], and alcohol was highly associated with second primary neoplasia of esophagus in H&N cancer patients by both univariate and multivariate analyses in our result. The underlying pathogenesis relationship between esophageal cancer and different location of H&N cancer is still questionable.\nBeing overweight is a well-established risk factor for several types of cancers, except for UADT cancer\n[29]. In a collaborated cohort study conducted in the Asia-Pacific region, the cancer risk and mortality rate were all higher in those with excess bodyweight gain among 424,519 participants, excluding lung and UADT cancer\n[29]. Another multicenter case–control study conducted in European countries has also revealed the inverse association of BMI gain (BMI changes ≧5%) with UADT cancer risk (OR 0.74, 95% CI 0.62-0.89)\n[30]. Similar results have been reported in a population-based case–control study\n[31]. BMI gain of more than 25% was associated with a lower risk for lung cancer (OR 0.53, 95% CI 0.33-0.84) and UADT cancers (OR 0.44, 95% CI 0.27-0.71), especially in cigarette smokers and alcohol drinkers\n[31]. In our study, we have found that every 1-kg/m2 increment in BMI was inversely associated with risk for synchronous esophageal neoplasia (OR 0.87, 95% CI 0.76-0.99) in H&N cancer patients (Table \n2). Advanced stage of index H&N cancer was also an independent risk factor for esophageal lesions. Because UADT cancer related symptoms, such as odynophagia, dysphagia or oral pain, may be accompanied with decreased amount of oral intake, a lower BMI is usually observed in UADT cancer patients. However, in our study population, both lower BMI and advanced stage of index H&N cancer were independent risk factors, and most of the esophageal neoplasia detected were early superficial lesions without obstruction signs. This inverse association may indicate the body weight-related tumor biological pathway in cancerization of both H&N and esophageal cancers.\nIEE is a useful screening tool for precancerous or cancerous gastrointestinal neoplasia. To detect esophageal neoplasia in high risk population, Lugol’s chromoendoscopy which is one of the dye-based IEE techniques has the sensitivity and specificity about 80.0-96.0% and 63.0-72.2%, respectively\n[11,32-34]. However, many side effects, such as mucosal irritation, retrosternal chest pain or burning sensation, laryngospasm or bronchospasm, and even cardiac arrest, have been reported\n[18,35]. These uncomfortable adverse effects and the low specificity hinder the Lugol’s chromoendoscopy from being the screening tool of esophageal neoplasia. On the contrary, NBI system which is one of the equipment-based IEE techniques has a higher sensitivity (88.9%) and specificity (97.2%) for detecting esophageal neoplasia in high risk populations\n[34]. By pushing a button on the handgrip of the endoscope, esophageal neoplasia with hypervascularity could be easily well-delineated without uncomfortable side effects\n[9,17]. Moreover, the NBI system is not only applied to the detection of early esophageal neoplasia (accuracy 88.9%), but also superficial cancers of H&N region (accuracy 86.7%) as well\n[14,15]. With the combination of magnifying endoscopy, the margin and invasiveness of the neoplasia can be predicted accurately\n[9,16,33,34]. In our study, about 97.3 ~100% of esophageal neoplasia were detected by NBI system with ME and Lugol’s chromoendoscopy. Only 51.4% of the esophageal neoplasia were detected by the traditional WLI system. To screen LGIN, HGIN and invasive carcinoma, NBI systems with ME were shown to demonstrate a better diagnostic performance than both WLI system and Lugol’s chromoendoscopy (Table \n3). Thus, routine IEE surveillance of the esophagus, especially using NBI system with ME avoiding the unpleasant side effects from Lugol’s solution, should be part of initial staging of H&N cancer patients.\n Limitations There were some limitations of this study. First, the sample size of study population was small and it was difficult to perform subgroup analysis for different location of H&N cancer (Table \n1). Larger scale investigation is necessary to define H&N cancer patients with highest risk for synchronous esophageal neoplasia. Secondly, the result of this study disclosed the risk factors for synchronous esophageal neoplasia and whether it is true for metachronous lesions was not well-defined. Third, the study was conducted in one single tertiary hospital and all endoscopic examinations were done by one well-trained endoscopist. Although all biopsied suspicious esophageal lesions were defined by single endoscopist, there would be no inter-observer bias in this study. Finally, endoscopic surveillance of esophagus in newly diagnosed H&N cancer patients did change the treatment strategy at a high rate in the result. In the result, four H&N cancer patients (two and one with oropharyngeal cancers at stage II and III, respectively; one with hypopharyngeal cancer at stage I) had synchronous esophageal LGINs (Table \n4). Because these esophageal LGINs, which have a relative risk of 2.9 (95% CI 1.6-5.2) for developing malignancy\n[20], were with small size (≦0.5 cm) and presented in primary H&N cancers at early stage, tumor board decision with curative endoscopic ablation treatment were made. However, whether concomitant management of H&N cancers and synchronous esophageal neoplasia has an impact on the survival still needs longer follow-up study in the future.\nThere were some limitations of this study. First, the sample size of study population was small and it was difficult to perform subgroup analysis for different location of H&N cancer (Table \n1). Larger scale investigation is necessary to define H&N cancer patients with highest risk for synchronous esophageal neoplasia. Secondly, the result of this study disclosed the risk factors for synchronous esophageal neoplasia and whether it is true for metachronous lesions was not well-defined. Third, the study was conducted in one single tertiary hospital and all endoscopic examinations were done by one well-trained endoscopist. Although all biopsied suspicious esophageal lesions were defined by single endoscopist, there would be no inter-observer bias in this study. Finally, endoscopic surveillance of esophagus in newly diagnosed H&N cancer patients did change the treatment strategy at a high rate in the result. In the result, four H&N cancer patients (two and one with oropharyngeal cancers at stage II and III, respectively; one with hypopharyngeal cancer at stage I) had synchronous esophageal LGINs (Table \n4). Because these esophageal LGINs, which have a relative risk of 2.9 (95% CI 1.6-5.2) for developing malignancy\n[20], were with small size (≦0.5 cm) and presented in primary H&N cancers at early stage, tumor board decision with curative endoscopic ablation treatment were made. However, whether concomitant management of H&N cancers and synchronous esophageal neoplasia has an impact on the survival still needs longer follow-up study in the future.", "There were some limitations of this study. First, the sample size of study population was small and it was difficult to perform subgroup analysis for different location of H&N cancer (Table \n1). Larger scale investigation is necessary to define H&N cancer patients with highest risk for synchronous esophageal neoplasia. Secondly, the result of this study disclosed the risk factors for synchronous esophageal neoplasia and whether it is true for metachronous lesions was not well-defined. Third, the study was conducted in one single tertiary hospital and all endoscopic examinations were done by one well-trained endoscopist. Although all biopsied suspicious esophageal lesions were defined by single endoscopist, there would be no inter-observer bias in this study. Finally, endoscopic surveillance of esophagus in newly diagnosed H&N cancer patients did change the treatment strategy at a high rate in the result. In the result, four H&N cancer patients (two and one with oropharyngeal cancers at stage II and III, respectively; one with hypopharyngeal cancer at stage I) had synchronous esophageal LGINs (Table \n4). Because these esophageal LGINs, which have a relative risk of 2.9 (95% CI 1.6-5.2) for developing malignancy\n[20], were with small size (≦0.5 cm) and presented in primary H&N cancers at early stage, tumor board decision with curative endoscopic ablation treatment were made. However, whether concomitant management of H&N cancers and synchronous esophageal neoplasia has an impact on the survival still needs longer follow-up study in the future.", "The presence of synchronous esophageal neoplasia in H&N cancer patients is not uncommon. Routine IEE surveillance of the esophagus is very important to initial treatment strategy of newly diagnosed H&N cancer patients, especially for those with alcohol drinking habit, lower BMI, and advanced stage of index H&N tumor. We recommend the routine surveillance of esophagus by performing NBI system with ME examination in the initial staging workup of newly diagnosed N&N cancer patients with risk factors identified by this study, and the treatment of synchronous neoplasia should be taken into consideration.", "H&N: Head and neck; NBI: Narrow-band imaging; ME: Magnifying endoscopy; OR: Odds ratio; CI: Confidence interval; BMI: Body mass index; UADT: Upper aerodigestive tract; IEE: Image-enhanced endoscopy; WLI: White-light imaging; AJCC: American Joint Committee on Cancer; HGIN: High-grade intraepithelial neoplasia; LGIN: Low-grade intraepithelial neoplasia.", "The authors declare that they have no competing interests.", "1) Conception and design: CSC, LJL, THL. 2) Analysis and interpretation of the data: CSC, LJL, WCL, YHC, YCC, YCL, WFH, PWS, THL. 3) Drafting of the article: CSC, LJL, THL. 4) Critical revision of the article for important intellectual content: CSC, LJL, WCL, THL. 5) Final approval of the article: CSC, LJL, WCL, YHC, YCC, YCL, WFH, PWS, THL. All authors read and approved the final manuscript.", "The pre-publication history for this paper can be accessed here:\n\nhttp://www.biomedcentral.com/1471-230X/13/154/prepub\n" ]
[ null, "methods", null, null, null, null, "results", "discussion", null, "conclusions", null, null, null, null ]
[ "Image-enhanced endoscopy", "Narrow-band imaging", "Second primary tumor", "Esophageal cancer", "Head and neck cancer" ]
Background: Squamous cell carcinomas of the head and neck (H&N) region and the esophagus are common dismal malignancies globally, especially in the Western Pacific regions where carcinogen uses such as drinking alcohol, cigarette smoking and betel quid chewing are prevalent [1]. Mucosa of the upper aerodigestive tract (UADT) may be exposed to common carcinogens and at risk of early molecular alterations without histopathological changes, followed by malignant transformation [2]. According to population-based analyses, the risk and incidence of second primary cancers of the index head and neck, or esophagus are quite high [3-5], and without early detection, synchronous or metachronous carcinogenesis may lead to poor prognosis despite multidisciplinary treatment of the primary cancers [6-8]. Even with traditional panendoscopy screening for synchronous esophageal cancer, the treatment result was still poor [6]. Recent advances in image-enhanced endoscopy (IEE) have enabled precancerous or early cancerous lesions visible more easily under endoscopic examination [9]. Using IEE examination, especially chromoendoscopy with Lugol’s solution and narrow-band imaging (NBI) system with high-resolution magnifying endoscopy (ME), dysplastic or cancerous lesions, and tumor invasion could be well delineated [9-17]. The prevalence of high grade intraepithelial neoplasia or invasive carcinoma of the esophagus in population at high risk, such as alcoholics or H&N cancer patients, is around 3.2 to 28% by IEE screening [11]. To triage and allocate H&N cancer patients at higher risk for esophageal neoplasia to surveillance program becomes important and cost-effective. However, routine application of endoscopic surveillance of esophagus is not a consensus nowadays, and which population benefit from the screening policy has not been well defined. Although previous studies have found certain risk factors for synchronous esophageal neoplasia in H&N cancer patients [12,13], there was no prospective study using routine application of NBI-ME and Lugol’s chromoendoscopy screening with standardized pathological classification. The aim of this prospective study was to determine the prevalence and risk factors for synchronous esophageal neoplasia and the impact of routine IEE screening on the decision making for the management of newly diagnosed H&N cancer patients. Methods: Study population and data collection We prospectively recruited 168 adults older than 20-year-old who had newly diagnosed H&N cancers that were confirmed by two otolaryngologists (L.-J. L., W.-C. L.) from March 2010 to March 2012 at the Far Eastern Memorial Hospital in New Taipei City, Taiwan. We excluded patients with salivary gland tumors, who needed emergent surgery for compromised airways or tumor bleeding, allergic history to iodine and pregnant. A total of 129 patients were referred to gastroenterologists for IEE screening before treatment. The study population was separated into two groups: H&N cancer patients with, and without synchronous esophageal neoplasia. Demographic characteristics, including age, gender, body mass index (BMI), and the status of habitual use of common carcinogens for UADT cancers, including drinking alcohol, cigarette smoking, and betel quid chewing, were gathered. The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels (Table  1 footnotes). All the participants provided written informed consent before endoscopic examination. This study was approved by the Research Ethics Review Committee of Far Eastern Memorial Hospital (FEMH IRB-101022-E). Demographic characteristics and risk assessment of the study population Abbreviation: BMI body mass index, H&N head and neck, NA not applicable, OR odds ratio, CI confidence interval. *Including low-grade, high-grade intraepithelial neoplasia and invasive carcinoma; + Risk assessment every 1-kg/m2 increment. Note that the lifestyle risk factors were recorded according to the frequencies (alcohol on a weekly basis where one time indicates at least 15.75 gm of ethanol: 0, never; 1, once; 2, once to twice; 3, 3–4 times; and 4, ≥5 times; betel quid on a piece per day basis: 0, never; 1, <1 piece; 2, 1–10 pieces; 3, 11–20 pieces; and 4, >20 pieces; cigarettes on a pack per day basis: 0, never; 1, <0.5 pack; 2, 0.5–1 pack; 3, 1–2 packs; and 4, >2 packs) and duration (0, never; 1, <1 year; 2, 1–10 years; 3, 11–20 years; and 4, >20 years). The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels: level 1, never (0); level 2, light to moderate (1–11); and level 3, heavy (≥12). We prospectively recruited 168 adults older than 20-year-old who had newly diagnosed H&N cancers that were confirmed by two otolaryngologists (L.-J. L., W.-C. L.) from March 2010 to March 2012 at the Far Eastern Memorial Hospital in New Taipei City, Taiwan. We excluded patients with salivary gland tumors, who needed emergent surgery for compromised airways or tumor bleeding, allergic history to iodine and pregnant. A total of 129 patients were referred to gastroenterologists for IEE screening before treatment. The study population was separated into two groups: H&N cancer patients with, and without synchronous esophageal neoplasia. Demographic characteristics, including age, gender, body mass index (BMI), and the status of habitual use of common carcinogens for UADT cancers, including drinking alcohol, cigarette smoking, and betel quid chewing, were gathered. The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels (Table  1 footnotes). All the participants provided written informed consent before endoscopic examination. This study was approved by the Research Ethics Review Committee of Far Eastern Memorial Hospital (FEMH IRB-101022-E). Demographic characteristics and risk assessment of the study population Abbreviation: BMI body mass index, H&N head and neck, NA not applicable, OR odds ratio, CI confidence interval. *Including low-grade, high-grade intraepithelial neoplasia and invasive carcinoma; + Risk assessment every 1-kg/m2 increment. Note that the lifestyle risk factors were recorded according to the frequencies (alcohol on a weekly basis where one time indicates at least 15.75 gm of ethanol: 0, never; 1, once; 2, once to twice; 3, 3–4 times; and 4, ≥5 times; betel quid on a piece per day basis: 0, never; 1, <1 piece; 2, 1–10 pieces; 3, 11–20 pieces; and 4, >20 pieces; cigarettes on a pack per day basis: 0, never; 1, <0.5 pack; 2, 0.5–1 pack; 3, 1–2 packs; and 4, >2 packs) and duration (0, never; 1, <1 year; 2, 1–10 years; 3, 11–20 years; and 4, >20 years). The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels: level 1, never (0); level 2, light to moderate (1–11); and level 3, heavy (≥12). Endoscopic examinations by IEE All of the patients received endoscopic examinations with NBI and ME which has powerful 80 times optical magnification (EVIS LUCERA CLV-260NBI, GIF-H260Z endoscopy, Olympus Medical Systems Corp, Tokyo, Japan), and chromoendoscopy with Lugol’s solution (Sigma-Aldrich, St. Louis, Missouri, USA). All endoscopic examinations were performed by one well-trained endoscopist (C.-S. C.). First, the oral cavity, oropharynx and hypopharynx were evaluated under NBI system [14,15]. The nasopharynx was not examined by endoscopy, but by otolaryngologists. Secondly, the esophagus was examined by white-light imaging (WLI) endoscopy from the esophageal inlet to the esophagogastric junction, and then repeatedly evaluated backward under NBI-ME. After NBI examination, we switched back to WLI and sprayed 10 to 20 mL of 1.5% Lugol solution evenly over the mucosa from esophagogastric junction to upper esophagus. The criteria of suspected lesions were defined as a hyperemic change, uneven or nodularity of mucosa under WLI system (Figure  1A), or brownish discoloration of mucosa with abnormal epithelial capillary pattern (Inoue’s Classification type III ~ V) under NBI-ME system (Figure  1B and 1C) [9,10,16,17], or a well-demarcated Lugol-unstained area (Figure  1D) with a diameter greater than 5 mm or any Lugol-voiding lesions accompanied with pink-silver sign which is often associated with high-grade neoplasia [18]. Finally, the stomach, and the first and second portion of the duodenum, were examined under WLI using the typical panendoscopic procedure. Endoscopic biopsy was done for all suspected lesions fulfilling the criteria mentioned above with histological results served as reference standard. Endoscopic surveillance and management of synchronous high-grade intraepithelial neoplasia of esophagus in a laryngeal cancer patient. A, A flat superficial neoplasia with hyperemia in white-light imaging system. B, A superficial neoplasia with brownish discoloration under narrow-band imaging system. C, Lugol-voiding of the neoplasia after spraying a 1.5% Lugol’s solution. D, Abnormal intraepithelial capillary loops under narrow-band imaging system with magnifying endoscopy. E, Endoscopic submucosal dissection of the superficial neoplasia. F, Mucosal cancer invading the lamina propria (main picture: HE stain, 40x; right bottom: HE stain, 100x). All of the patients received endoscopic examinations with NBI and ME which has powerful 80 times optical magnification (EVIS LUCERA CLV-260NBI, GIF-H260Z endoscopy, Olympus Medical Systems Corp, Tokyo, Japan), and chromoendoscopy with Lugol’s solution (Sigma-Aldrich, St. Louis, Missouri, USA). All endoscopic examinations were performed by one well-trained endoscopist (C.-S. C.). First, the oral cavity, oropharynx and hypopharynx were evaluated under NBI system [14,15]. The nasopharynx was not examined by endoscopy, but by otolaryngologists. Secondly, the esophagus was examined by white-light imaging (WLI) endoscopy from the esophageal inlet to the esophagogastric junction, and then repeatedly evaluated backward under NBI-ME. After NBI examination, we switched back to WLI and sprayed 10 to 20 mL of 1.5% Lugol solution evenly over the mucosa from esophagogastric junction to upper esophagus. The criteria of suspected lesions were defined as a hyperemic change, uneven or nodularity of mucosa under WLI system (Figure  1A), or brownish discoloration of mucosa with abnormal epithelial capillary pattern (Inoue’s Classification type III ~ V) under NBI-ME system (Figure  1B and 1C) [9,10,16,17], or a well-demarcated Lugol-unstained area (Figure  1D) with a diameter greater than 5 mm or any Lugol-voiding lesions accompanied with pink-silver sign which is often associated with high-grade neoplasia [18]. Finally, the stomach, and the first and second portion of the duodenum, were examined under WLI using the typical panendoscopic procedure. Endoscopic biopsy was done for all suspected lesions fulfilling the criteria mentioned above with histological results served as reference standard. Endoscopic surveillance and management of synchronous high-grade intraepithelial neoplasia of esophagus in a laryngeal cancer patient. A, A flat superficial neoplasia with hyperemia in white-light imaging system. B, A superficial neoplasia with brownish discoloration under narrow-band imaging system. C, Lugol-voiding of the neoplasia after spraying a 1.5% Lugol’s solution. D, Abnormal intraepithelial capillary loops under narrow-band imaging system with magnifying endoscopy. E, Endoscopic submucosal dissection of the superficial neoplasia. F, Mucosal cancer invading the lamina propria (main picture: HE stain, 40x; right bottom: HE stain, 100x). Histopathology and decision making of the treatment strategy The biopsied tissues were examined by an experienced pathologist (Y.-H.C.) and classified by the revised Vienna classification of epithelial neoplasia [19]. Chronic inflammation and squamous hyperplasia belong to the diagnosis of indefinite for neoplasia. Esophageal invasive carcinoma and squamous dysplasia which are associated with increased risk for developing malignancy were included for risk analysis [20]. The 7th edition of the American Joint Committee on Cancer (AJCC) and the International Union for Cancer Control tumor-node-metastasis system was used for tumor staging [21], and the treatment planning for head and neck cancer patients was made by tumor board review. After a complete review of the medical condition of each patient and the information from local findings, endoscopic and radiological examinations, the final treatment option for H&N cancer patients were discussed and made by gastroenterologists, radio-oncologists, surgical and medical oncologists. The biopsied tissues were examined by an experienced pathologist (Y.-H.C.) and classified by the revised Vienna classification of epithelial neoplasia [19]. Chronic inflammation and squamous hyperplasia belong to the diagnosis of indefinite for neoplasia. Esophageal invasive carcinoma and squamous dysplasia which are associated with increased risk for developing malignancy were included for risk analysis [20]. The 7th edition of the American Joint Committee on Cancer (AJCC) and the International Union for Cancer Control tumor-node-metastasis system was used for tumor staging [21], and the treatment planning for head and neck cancer patients was made by tumor board review. After a complete review of the medical condition of each patient and the information from local findings, endoscopic and radiological examinations, the final treatment option for H&N cancer patients were discussed and made by gastroenterologists, radio-oncologists, surgical and medical oncologists. Statistical analysis Continuous variables were expressed as mean ± standard deviation and the comparisons between groups were performed using the Student t-test; categorical variables were summarized as count (%) and the comparisons between groups were made using the χ2 or the Fisher’s exact test when appropriate. Univariate and multivariate logistic regression models were performed for evaluation of the demographic and carcinogenic risk factors for synchronous esophageal neoplasia in H&N cancer patients. Cochrane-Armitage trend test was used for the investigation of the dose–response cancer risk predicting power of carcinogens. The sensitivity, specificity and accuracy of different IEE methods to detect esophageal neoplasia were calculated according to the pathological findings served as standard reference. A two-tailed p value <0.05 was considered as statistically significant. The statistical analysis was performed using STATA software (version 11.0; Stata Corp, College Station, TX, USA). Continuous variables were expressed as mean ± standard deviation and the comparisons between groups were performed using the Student t-test; categorical variables were summarized as count (%) and the comparisons between groups were made using the χ2 or the Fisher’s exact test when appropriate. Univariate and multivariate logistic regression models were performed for evaluation of the demographic and carcinogenic risk factors for synchronous esophageal neoplasia in H&N cancer patients. Cochrane-Armitage trend test was used for the investigation of the dose–response cancer risk predicting power of carcinogens. The sensitivity, specificity and accuracy of different IEE methods to detect esophageal neoplasia were calculated according to the pathological findings served as standard reference. A two-tailed p value <0.05 was considered as statistically significant. The statistical analysis was performed using STATA software (version 11.0; Stata Corp, College Station, TX, USA). Study population and data collection: We prospectively recruited 168 adults older than 20-year-old who had newly diagnosed H&N cancers that were confirmed by two otolaryngologists (L.-J. L., W.-C. L.) from March 2010 to March 2012 at the Far Eastern Memorial Hospital in New Taipei City, Taiwan. We excluded patients with salivary gland tumors, who needed emergent surgery for compromised airways or tumor bleeding, allergic history to iodine and pregnant. A total of 129 patients were referred to gastroenterologists for IEE screening before treatment. The study population was separated into two groups: H&N cancer patients with, and without synchronous esophageal neoplasia. Demographic characteristics, including age, gender, body mass index (BMI), and the status of habitual use of common carcinogens for UADT cancers, including drinking alcohol, cigarette smoking, and betel quid chewing, were gathered. The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels (Table  1 footnotes). All the participants provided written informed consent before endoscopic examination. This study was approved by the Research Ethics Review Committee of Far Eastern Memorial Hospital (FEMH IRB-101022-E). Demographic characteristics and risk assessment of the study population Abbreviation: BMI body mass index, H&N head and neck, NA not applicable, OR odds ratio, CI confidence interval. *Including low-grade, high-grade intraepithelial neoplasia and invasive carcinoma; + Risk assessment every 1-kg/m2 increment. Note that the lifestyle risk factors were recorded according to the frequencies (alcohol on a weekly basis where one time indicates at least 15.75 gm of ethanol: 0, never; 1, once; 2, once to twice; 3, 3–4 times; and 4, ≥5 times; betel quid on a piece per day basis: 0, never; 1, <1 piece; 2, 1–10 pieces; 3, 11–20 pieces; and 4, >20 pieces; cigarettes on a pack per day basis: 0, never; 1, <0.5 pack; 2, 0.5–1 pack; 3, 1–2 packs; and 4, >2 packs) and duration (0, never; 1, <1 year; 2, 1–10 years; 3, 11–20 years; and 4, >20 years). The cumulative lifetime exposure was calculated by multiplying the frequency and duration, and further categorized into these three levels: level 1, never (0); level 2, light to moderate (1–11); and level 3, heavy (≥12). Endoscopic examinations by IEE: All of the patients received endoscopic examinations with NBI and ME which has powerful 80 times optical magnification (EVIS LUCERA CLV-260NBI, GIF-H260Z endoscopy, Olympus Medical Systems Corp, Tokyo, Japan), and chromoendoscopy with Lugol’s solution (Sigma-Aldrich, St. Louis, Missouri, USA). All endoscopic examinations were performed by one well-trained endoscopist (C.-S. C.). First, the oral cavity, oropharynx and hypopharynx were evaluated under NBI system [14,15]. The nasopharynx was not examined by endoscopy, but by otolaryngologists. Secondly, the esophagus was examined by white-light imaging (WLI) endoscopy from the esophageal inlet to the esophagogastric junction, and then repeatedly evaluated backward under NBI-ME. After NBI examination, we switched back to WLI and sprayed 10 to 20 mL of 1.5% Lugol solution evenly over the mucosa from esophagogastric junction to upper esophagus. The criteria of suspected lesions were defined as a hyperemic change, uneven or nodularity of mucosa under WLI system (Figure  1A), or brownish discoloration of mucosa with abnormal epithelial capillary pattern (Inoue’s Classification type III ~ V) under NBI-ME system (Figure  1B and 1C) [9,10,16,17], or a well-demarcated Lugol-unstained area (Figure  1D) with a diameter greater than 5 mm or any Lugol-voiding lesions accompanied with pink-silver sign which is often associated with high-grade neoplasia [18]. Finally, the stomach, and the first and second portion of the duodenum, were examined under WLI using the typical panendoscopic procedure. Endoscopic biopsy was done for all suspected lesions fulfilling the criteria mentioned above with histological results served as reference standard. Endoscopic surveillance and management of synchronous high-grade intraepithelial neoplasia of esophagus in a laryngeal cancer patient. A, A flat superficial neoplasia with hyperemia in white-light imaging system. B, A superficial neoplasia with brownish discoloration under narrow-band imaging system. C, Lugol-voiding of the neoplasia after spraying a 1.5% Lugol’s solution. D, Abnormal intraepithelial capillary loops under narrow-band imaging system with magnifying endoscopy. E, Endoscopic submucosal dissection of the superficial neoplasia. F, Mucosal cancer invading the lamina propria (main picture: HE stain, 40x; right bottom: HE stain, 100x). Histopathology and decision making of the treatment strategy: The biopsied tissues were examined by an experienced pathologist (Y.-H.C.) and classified by the revised Vienna classification of epithelial neoplasia [19]. Chronic inflammation and squamous hyperplasia belong to the diagnosis of indefinite for neoplasia. Esophageal invasive carcinoma and squamous dysplasia which are associated with increased risk for developing malignancy were included for risk analysis [20]. The 7th edition of the American Joint Committee on Cancer (AJCC) and the International Union for Cancer Control tumor-node-metastasis system was used for tumor staging [21], and the treatment planning for head and neck cancer patients was made by tumor board review. After a complete review of the medical condition of each patient and the information from local findings, endoscopic and radiological examinations, the final treatment option for H&N cancer patients were discussed and made by gastroenterologists, radio-oncologists, surgical and medical oncologists. Statistical analysis: Continuous variables were expressed as mean ± standard deviation and the comparisons between groups were performed using the Student t-test; categorical variables were summarized as count (%) and the comparisons between groups were made using the χ2 or the Fisher’s exact test when appropriate. Univariate and multivariate logistic regression models were performed for evaluation of the demographic and carcinogenic risk factors for synchronous esophageal neoplasia in H&N cancer patients. Cochrane-Armitage trend test was used for the investigation of the dose–response cancer risk predicting power of carcinogens. The sensitivity, specificity and accuracy of different IEE methods to detect esophageal neoplasia were calculated according to the pathological findings served as standard reference. A two-tailed p value <0.05 was considered as statistically significant. The statistical analysis was performed using STATA software (version 11.0; Stata Corp, College Station, TX, USA). Results: The demographic characteristics of the study population and risk assessment by univariate logistic regression analysis of these factors are shown in Table  1. A total of 122 male and 7 female head and neck cancer patients were enrolled. Sixty defined suspicious esophageal lesions were biopsied from 53 (41.1%) patients after IEE screening and 30 (23.3%) patients had the presence of dysplastic or cancerous lesions by histopathological examination. Compared with H&N cancer patients without synchronous esophageal neoplasia, the mean age and sex ratio of those with synchronous esophageal neoplasia were not significantly different. However, the BMI is lower in the group with synchronous esophageal neoplasia, and every 1-kg/m2 increment is associated with 0.86-fold lower risk (p value = 0.008) for esophageal neoplasia (Table  1). The frequency of patients with presence of synchronous esophageal neoplasia was higher in those with hypopharyngeal cancer (12/32, 37.5%) and laryngeal cancer (4/8, 50%) than those with oral cavity cancer (8/63, 12.7%) and oropharyngeal cancer (6/22, 27.3%) (Table  1). The advanced stages, including 7th AJCC TNM stage III and IV, were associated with increased risk (OR 2.30, 95% CI 0.98-5.42) for esophageal neoplasia, but not statistically significant (p value = 0.056). Regarding the three common carcinogen exposures, only drinking alcohol was associated with a higher risk (OR 4.10, 95% CI 1.16-14.56, p value = 0.029) of esophageal neoplasia with a stepwise dose–response relationship (p value for trend = 0.009). Betel quid chewing was found to be associated with a lower risk (OR 0.37, 95% CI 0.16-0.84, p value = 0.018) of synchronous esophageal lesions. Compared with the proportion of betel quid chewers in oral cavity cancer subgroup, there were less betel quid chewers in the hypopharyngeal (48.4% vs. 68.3%, p = 0.03) and laryngeal cancer (25.0% vs. 68.3%, p = 0.01) subgroups (not shown in Table  1). The number of concomitant carcinogens used was not associated with an increased risk for esophageal neoplasia. In the multivariate logistic regression model (Table  2), age, gender, cigarette smoking, betel quid chewing and location of index H&N tumor were not associated with the risk for synchronous esophageal neoplasia. However, status regarding the drinking of alcohol (OR 5.90, 95% CI 1.23-26.44, p = 0.020), lower BMI (every 1-kg/m2 increment with OR 0.87, 95% CI 0.76-0.99, p = 0.036), and advanced stages (stage III&IV v.s. I&II) of index H&N cancers (OR 2.98, 95% CI 1.11-7.99, p = 0.030) were associated with higher risk for esophageal neoplasia. Multivariate logistic regression model for risk assessment * Abbreviation: H&N head and neck, OR odds ratio, CI confidence interval. *Risk assessment for esophageal low-grade, high-grade intraepithelial neoplasia, and invasive carcinoma. The characteristics of the esophageal lesions detected by IEE screening are summarized in Table  3. 15%, 43.3% and 41.7% of the lesions were found at the upper, middle and lower third of the esophagus, respectively. Among them, 23.3% and 20.0% were high-grade intraepithelial neoplasia (HGIN) and invasive submucosal carcinoma, respectively. Three esophageal lesions were Barrett’s esophagus presented with intestinal metaplasia. To detect low-grade intraepithelial neoplasia (LGIN), HGIN and invasive carcinoma, the diagnostic performance of NBI system with ME examination which had the sensitivity, specificity, and accuracy of 97.3%, 94.1% and 96.3%, respectively, was better than those of WLI system and LC (Table  3). Seven patients (13.2%) had multifocal esophageal lesions. Characteristics of esophageal lesions and diagnostic performance of endoscopy Abbreviation: WLI white-light imaging, NBI-ME narrow-band imaging system with magnifying endoscopy, LC Lugol’s chromoendoscopy, LGIN low-grade intraepithelial neoplasia, HGIN high-grade intraepithelial neoplasia. *Detection of low-grade, high-grade intraepithelial neoplasia and invasive carcinoma by histological confirmation. The treatment strategy had been modified in a total of 20 (15.5%) H&N cancer patients after the IEE examination. The number needed to screen for synchronous esophageal neoplasia to have a modified treatment strategy was 6.45(1/15.5%, 95% CI = 4.60-10.90). The characteristics of these patients are shown in Table  4. Among them, 4 patients had oral cavity cancer, 4 oropharyngeal cancer, 9 hypopharyngeal cancer, and 3 laryngeal cancer. For the staging of the head and neck cancer, there were 4, 4, 4 and 8 patients with stage I, II, III and IV, respectively. The esophageal lesions of these patients were four LGINs, four HGINs, and twelve invasive carcinomas (3, 5, 1 and 3 patients with stage IA, IB, IIA, and IIIA, respectively). Adding esophageal neoplasia into consideration for treatment planning, five patients received extended radiation field involving the esophageal lesions, six patients received esophagectomy, and nine patients were suggested for endoscopic treatment of the early esophageal neoplasia, including radiofrequency ablation, endoscopic mucosal resection or submucosal dissection (Figure  1E and 1F). Tumor board review of H&N cancer patients with modified treatment strategy after IEE screening Abbreviation: CCRT concurrent chemoradiotherapy, EMR endoscopic mucosal resection, ESD endoscopic submucosal dissection, H&N head and neck, HGIN high-grade intraepithelial neoplasia, IEE image-enhanced endoscopy, LN lymph node, LGIN low-grade intraepithelial neoplasia, RFA radiofrequency ablation, SCC squamous cell carcinoma. Discussion: The development of second primary malignancy of esophagus, H&N region or lung in UADT cancer patients is high [4,5,7,22,23]. A nationwide study in Taiwan, where the prevalence of drinking alcohol, cigarette smoking and betel quid chewing is high, has shown that the standardized incidence ratio (SIR) of esophageal cancer in patients with head and neck cancer is significantly increased [4]. Supported by the concept of “field carcinogenesis” [2], cancer may develop synchronously or metachronously in the UADT. Moreover, the survival rate of those with second primary tumor, especially with esophageal cancer, is significantly lower (5-year survival rate only 6%) than those without second primary malignancy [7,24]. Therefore, it is important to perform surveillance of the esophagus in H&N cancer patients to improve overall outcome. In this study, we have found that drinking alcohol, lower BMI, and advanced stages of the index H&N cancer were associated with a higher risk for synchronous esophageal neoplasia, and the endoscopy examination by the NBI system with ME may be the best screening modality available. Carcinogen consumption largely contributes to the development of the UADT malignancy, including the cancer of H&N region and the esophagus [1]. Among the common psychoactive substances, alcohol, tobacco and betel nut are well-known carcinogens for the squamous cell carcinoma of H&N region and the esophagus [1,11]. In our study, we have found that only drinking alcohol was the independent risk factor for synchronous esophageal neoplasia by univariate and multivariate analyses (Table  1 and 2). Cigarette smoking and betel quid chewing were not associated with higher risk for synchronous second primary tumor of the esophagus in multivariate logistic regression model. Besides, higher cumulative doses of alcohol lead to a higher risk for esophageal lesions (Table  1). Acetaldehyde, the intermediate metabolite of the ethanol, is mainly responsible for the systemic carcinogenic effect of alcohol [25,26]. The systemic effect of cigarette smoking and betel quit chewing is not as conspicuous as ethanol; by contrast, the inhaled tobacco smoke and topical contact of arecoline in betel nut contributes to the cancer of the respiratory tract, oral cavity and pharynx predominantly, rather than the esophagus [7,25-27]. This hypothesis could explain the reason why drinking alcohol, but not cigarette smoking or betel quid chewing, is associated with a higher risk for esophageal neoplasia in H&N cancer patients. In our study, betel quid chewing was found with lower risk for synchronous esophageal neoplasia in the univariate analysis (Table  1), but without statistical significance by multivariate logistic regression model (Table  2). Because in the univariate analysis, the hypopharyngeal and laryngeal cancers were associated with higher risk of esophageal neoplasia than oral cavity cancer, the interesting finding may result from lower proportion of betel quid chewers in the hypopharyngeal and laryngeal cancer patients than those in oral cavity cancer patients. Regarding the location of H&N cancers, some researchers have found the tendency of esophageal cancer in patients with oropharyngeal and hypopharyngeal cancers, and the tendency of lung cancer in patients with laryngeal cancer [7,13]. Although the results were based on the hypothesis of the cancerization in respiratory and digestive axes [22], other investigation did not report the similar result [4]. In a nationwide database study [4], the incidence of second primary cancer is higher for esophageal cancer (SIR 8.71, 95% CI 7.55-10.01) than for lung cancer (SIR 1.56, 95% CI1.34-1.80) in laryngeal cancer patients. In our study, the fact that higher proportion of betel quid chewing, which was negatively associated with risk of second primary esophageal neoplasm (OR 0.37, 95% CI 0.16-0.84) for H&N cancer patients, in the oral cancer group than the hypopharyngeal and laryngeal cancer patients might be the reason why the esophageal neoplasia less coexisted with oral cancer patients by univariate analysis, and the locations of index H&N cancer were not an independent risk factor for synchronous esophageal neoplasia in multivariate analysis (Table  1 and 2). Moreover, cancers of hypopharynx and larynx are more closely associated with alcohol consumption than oral cancers [28], and alcohol was highly associated with second primary neoplasia of esophagus in H&N cancer patients by both univariate and multivariate analyses in our result. The underlying pathogenesis relationship between esophageal cancer and different location of H&N cancer is still questionable. Being overweight is a well-established risk factor for several types of cancers, except for UADT cancer [29]. In a collaborated cohort study conducted in the Asia-Pacific region, the cancer risk and mortality rate were all higher in those with excess bodyweight gain among 424,519 participants, excluding lung and UADT cancer [29]. Another multicenter case–control study conducted in European countries has also revealed the inverse association of BMI gain (BMI changes ≧5%) with UADT cancer risk (OR 0.74, 95% CI 0.62-0.89) [30]. Similar results have been reported in a population-based case–control study [31]. BMI gain of more than 25% was associated with a lower risk for lung cancer (OR 0.53, 95% CI 0.33-0.84) and UADT cancers (OR 0.44, 95% CI 0.27-0.71), especially in cigarette smokers and alcohol drinkers [31]. In our study, we have found that every 1-kg/m2 increment in BMI was inversely associated with risk for synchronous esophageal neoplasia (OR 0.87, 95% CI 0.76-0.99) in H&N cancer patients (Table  2). Advanced stage of index H&N cancer was also an independent risk factor for esophageal lesions. Because UADT cancer related symptoms, such as odynophagia, dysphagia or oral pain, may be accompanied with decreased amount of oral intake, a lower BMI is usually observed in UADT cancer patients. However, in our study population, both lower BMI and advanced stage of index H&N cancer were independent risk factors, and most of the esophageal neoplasia detected were early superficial lesions without obstruction signs. This inverse association may indicate the body weight-related tumor biological pathway in cancerization of both H&N and esophageal cancers. IEE is a useful screening tool for precancerous or cancerous gastrointestinal neoplasia. To detect esophageal neoplasia in high risk population, Lugol’s chromoendoscopy which is one of the dye-based IEE techniques has the sensitivity and specificity about 80.0-96.0% and 63.0-72.2%, respectively [11,32-34]. However, many side effects, such as mucosal irritation, retrosternal chest pain or burning sensation, laryngospasm or bronchospasm, and even cardiac arrest, have been reported [18,35]. These uncomfortable adverse effects and the low specificity hinder the Lugol’s chromoendoscopy from being the screening tool of esophageal neoplasia. On the contrary, NBI system which is one of the equipment-based IEE techniques has a higher sensitivity (88.9%) and specificity (97.2%) for detecting esophageal neoplasia in high risk populations [34]. By pushing a button on the handgrip of the endoscope, esophageal neoplasia with hypervascularity could be easily well-delineated without uncomfortable side effects [9,17]. Moreover, the NBI system is not only applied to the detection of early esophageal neoplasia (accuracy 88.9%), but also superficial cancers of H&N region (accuracy 86.7%) as well [14,15]. With the combination of magnifying endoscopy, the margin and invasiveness of the neoplasia can be predicted accurately [9,16,33,34]. In our study, about 97.3 ~100% of esophageal neoplasia were detected by NBI system with ME and Lugol’s chromoendoscopy. Only 51.4% of the esophageal neoplasia were detected by the traditional WLI system. To screen LGIN, HGIN and invasive carcinoma, NBI systems with ME were shown to demonstrate a better diagnostic performance than both WLI system and Lugol’s chromoendoscopy (Table  3). Thus, routine IEE surveillance of the esophagus, especially using NBI system with ME avoiding the unpleasant side effects from Lugol’s solution, should be part of initial staging of H&N cancer patients. Limitations There were some limitations of this study. First, the sample size of study population was small and it was difficult to perform subgroup analysis for different location of H&N cancer (Table  1). Larger scale investigation is necessary to define H&N cancer patients with highest risk for synchronous esophageal neoplasia. Secondly, the result of this study disclosed the risk factors for synchronous esophageal neoplasia and whether it is true for metachronous lesions was not well-defined. Third, the study was conducted in one single tertiary hospital and all endoscopic examinations were done by one well-trained endoscopist. Although all biopsied suspicious esophageal lesions were defined by single endoscopist, there would be no inter-observer bias in this study. Finally, endoscopic surveillance of esophagus in newly diagnosed H&N cancer patients did change the treatment strategy at a high rate in the result. In the result, four H&N cancer patients (two and one with oropharyngeal cancers at stage II and III, respectively; one with hypopharyngeal cancer at stage I) had synchronous esophageal LGINs (Table  4). Because these esophageal LGINs, which have a relative risk of 2.9 (95% CI 1.6-5.2) for developing malignancy [20], were with small size (≦0.5 cm) and presented in primary H&N cancers at early stage, tumor board decision with curative endoscopic ablation treatment were made. However, whether concomitant management of H&N cancers and synchronous esophageal neoplasia has an impact on the survival still needs longer follow-up study in the future. There were some limitations of this study. First, the sample size of study population was small and it was difficult to perform subgroup analysis for different location of H&N cancer (Table  1). Larger scale investigation is necessary to define H&N cancer patients with highest risk for synchronous esophageal neoplasia. Secondly, the result of this study disclosed the risk factors for synchronous esophageal neoplasia and whether it is true for metachronous lesions was not well-defined. Third, the study was conducted in one single tertiary hospital and all endoscopic examinations were done by one well-trained endoscopist. Although all biopsied suspicious esophageal lesions were defined by single endoscopist, there would be no inter-observer bias in this study. Finally, endoscopic surveillance of esophagus in newly diagnosed H&N cancer patients did change the treatment strategy at a high rate in the result. In the result, four H&N cancer patients (two and one with oropharyngeal cancers at stage II and III, respectively; one with hypopharyngeal cancer at stage I) had synchronous esophageal LGINs (Table  4). Because these esophageal LGINs, which have a relative risk of 2.9 (95% CI 1.6-5.2) for developing malignancy [20], were with small size (≦0.5 cm) and presented in primary H&N cancers at early stage, tumor board decision with curative endoscopic ablation treatment were made. However, whether concomitant management of H&N cancers and synchronous esophageal neoplasia has an impact on the survival still needs longer follow-up study in the future. Limitations: There were some limitations of this study. First, the sample size of study population was small and it was difficult to perform subgroup analysis for different location of H&N cancer (Table  1). Larger scale investigation is necessary to define H&N cancer patients with highest risk for synchronous esophageal neoplasia. Secondly, the result of this study disclosed the risk factors for synchronous esophageal neoplasia and whether it is true for metachronous lesions was not well-defined. Third, the study was conducted in one single tertiary hospital and all endoscopic examinations were done by one well-trained endoscopist. Although all biopsied suspicious esophageal lesions were defined by single endoscopist, there would be no inter-observer bias in this study. Finally, endoscopic surveillance of esophagus in newly diagnosed H&N cancer patients did change the treatment strategy at a high rate in the result. In the result, four H&N cancer patients (two and one with oropharyngeal cancers at stage II and III, respectively; one with hypopharyngeal cancer at stage I) had synchronous esophageal LGINs (Table  4). Because these esophageal LGINs, which have a relative risk of 2.9 (95% CI 1.6-5.2) for developing malignancy [20], were with small size (≦0.5 cm) and presented in primary H&N cancers at early stage, tumor board decision with curative endoscopic ablation treatment were made. However, whether concomitant management of H&N cancers and synchronous esophageal neoplasia has an impact on the survival still needs longer follow-up study in the future. Conclusions: The presence of synchronous esophageal neoplasia in H&N cancer patients is not uncommon. Routine IEE surveillance of the esophagus is very important to initial treatment strategy of newly diagnosed H&N cancer patients, especially for those with alcohol drinking habit, lower BMI, and advanced stage of index H&N tumor. We recommend the routine surveillance of esophagus by performing NBI system with ME examination in the initial staging workup of newly diagnosed N&N cancer patients with risk factors identified by this study, and the treatment of synchronous neoplasia should be taken into consideration. Abbreviations: H&N: Head and neck; NBI: Narrow-band imaging; ME: Magnifying endoscopy; OR: Odds ratio; CI: Confidence interval; BMI: Body mass index; UADT: Upper aerodigestive tract; IEE: Image-enhanced endoscopy; WLI: White-light imaging; AJCC: American Joint Committee on Cancer; HGIN: High-grade intraepithelial neoplasia; LGIN: Low-grade intraepithelial neoplasia. Competing interests: The authors declare that they have no competing interests. Authors’ contributions: 1) Conception and design: CSC, LJL, THL. 2) Analysis and interpretation of the data: CSC, LJL, WCL, YHC, YCC, YCL, WFH, PWS, THL. 3) Drafting of the article: CSC, LJL, THL. 4) Critical revision of the article for important intellectual content: CSC, LJL, WCL, THL. 5) Final approval of the article: CSC, LJL, WCL, YHC, YCC, YCL, WFH, PWS, THL. All authors read and approved the final manuscript. Pre-publication history: The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-230X/13/154/prepub
Background: The prevalence of esophageal neoplasia in head and neck (H&N) cancer patients is not low; however, routine esophageal surveillance is not included in staging of newly-diagnosed H&N cancers. We aimed to investigate the risk factors for synchronous esophageal neoplasia and the impact of endoscopy on management of H&N cancer patients. Methods: A total of 129 newly diagnosed H&N cancer patients who underwent endoscopy with white-light imaging, narrow-band imaging (NBI) with magnifying endoscopy (ME), and chromoendoscopy with 1.5% Lugol's solution, before definite treatment were enrolled prospectively. Results: 60 esophageal lesions were biopsied from 53 (41.1%) patients, including 11 low-grade, 14 high-grade intraepithelial neoplasia and 12 invasive carcinoma in 30 (23.3%) patients. Alcohol consumption [odds ratio (OR) 5.90, 95% confidence interval (CI) 1.23-26.44], advanced stage (stage III and IV) of index H&N cancers (OR 2.98, 95% CI 1.11-7.99), and lower body mass index (BMI) (every 1-kg/m2 increment with OR 0.87, 95% CI 0.76-0.99) were independent risk factors for synchronous esophageal neoplasia. NBI with ME was the ideal screening tool (sensitivity, specificity, and accuracy of 97.3%, 94.1%, and 96.3%, respectively, for detection of dysplastic and cancerous esophageal lesions). The treatment strategy was modified after endoscopy in 20 (15.5%) patients. The number needed to screen was 6.45 (95% CI 4.60-10.90). Conclusions: NBI-ME surveillance of esophagus should be done in newly-diagnosed H&N cancer patients, especially those with alcohol drinking, lower BMI, and advanced stage of primary tumor.
Background: Squamous cell carcinomas of the head and neck (H&N) region and the esophagus are common dismal malignancies globally, especially in the Western Pacific regions where carcinogen uses such as drinking alcohol, cigarette smoking and betel quid chewing are prevalent [1]. Mucosa of the upper aerodigestive tract (UADT) may be exposed to common carcinogens and at risk of early molecular alterations without histopathological changes, followed by malignant transformation [2]. According to population-based analyses, the risk and incidence of second primary cancers of the index head and neck, or esophagus are quite high [3-5], and without early detection, synchronous or metachronous carcinogenesis may lead to poor prognosis despite multidisciplinary treatment of the primary cancers [6-8]. Even with traditional panendoscopy screening for synchronous esophageal cancer, the treatment result was still poor [6]. Recent advances in image-enhanced endoscopy (IEE) have enabled precancerous or early cancerous lesions visible more easily under endoscopic examination [9]. Using IEE examination, especially chromoendoscopy with Lugol’s solution and narrow-band imaging (NBI) system with high-resolution magnifying endoscopy (ME), dysplastic or cancerous lesions, and tumor invasion could be well delineated [9-17]. The prevalence of high grade intraepithelial neoplasia or invasive carcinoma of the esophagus in population at high risk, such as alcoholics or H&N cancer patients, is around 3.2 to 28% by IEE screening [11]. To triage and allocate H&N cancer patients at higher risk for esophageal neoplasia to surveillance program becomes important and cost-effective. However, routine application of endoscopic surveillance of esophagus is not a consensus nowadays, and which population benefit from the screening policy has not been well defined. Although previous studies have found certain risk factors for synchronous esophageal neoplasia in H&N cancer patients [12,13], there was no prospective study using routine application of NBI-ME and Lugol’s chromoendoscopy screening with standardized pathological classification. The aim of this prospective study was to determine the prevalence and risk factors for synchronous esophageal neoplasia and the impact of routine IEE screening on the decision making for the management of newly diagnosed H&N cancer patients. Conclusions: The presence of synchronous esophageal neoplasia in H&N cancer patients is not uncommon. Routine IEE surveillance of the esophagus is very important to initial treatment strategy of newly diagnosed H&N cancer patients, especially for those with alcohol drinking habit, lower BMI, and advanced stage of index H&N tumor. We recommend the routine surveillance of esophagus by performing NBI system with ME examination in the initial staging workup of newly diagnosed N&N cancer patients with risk factors identified by this study, and the treatment of synchronous neoplasia should be taken into consideration.
Background: The prevalence of esophageal neoplasia in head and neck (H&N) cancer patients is not low; however, routine esophageal surveillance is not included in staging of newly-diagnosed H&N cancers. We aimed to investigate the risk factors for synchronous esophageal neoplasia and the impact of endoscopy on management of H&N cancer patients. Methods: A total of 129 newly diagnosed H&N cancer patients who underwent endoscopy with white-light imaging, narrow-band imaging (NBI) with magnifying endoscopy (ME), and chromoendoscopy with 1.5% Lugol's solution, before definite treatment were enrolled prospectively. Results: 60 esophageal lesions were biopsied from 53 (41.1%) patients, including 11 low-grade, 14 high-grade intraepithelial neoplasia and 12 invasive carcinoma in 30 (23.3%) patients. Alcohol consumption [odds ratio (OR) 5.90, 95% confidence interval (CI) 1.23-26.44], advanced stage (stage III and IV) of index H&N cancers (OR 2.98, 95% CI 1.11-7.99), and lower body mass index (BMI) (every 1-kg/m2 increment with OR 0.87, 95% CI 0.76-0.99) were independent risk factors for synchronous esophageal neoplasia. NBI with ME was the ideal screening tool (sensitivity, specificity, and accuracy of 97.3%, 94.1%, and 96.3%, respectively, for detection of dysplastic and cancerous esophageal lesions). The treatment strategy was modified after endoscopy in 20 (15.5%) patients. The number needed to screen was 6.45 (95% CI 4.60-10.90). Conclusions: NBI-ME surveillance of esophagus should be done in newly-diagnosed H&N cancer patients, especially those with alcohol drinking, lower BMI, and advanced stage of primary tumor.
8,138
342
[ 419, 481, 448, 166, 162, 286, 78, 10, 107, 16 ]
14
[ "cancer", "neoplasia", "esophageal", "patients", "risk", "esophageal neoplasia", "cancer patients", "study", "synchronous", "endoscopic" ]
[ "cancerization esophageal", "esophageal neoplasia endoscopy", "carcinoma esophagus", "cancers synchronous esophageal", "surveillance esophagus cancer" ]
[CONTENT] Image-enhanced endoscopy | Narrow-band imaging | Second primary tumor | Esophageal cancer | Head and neck cancer [SUMMARY]
[CONTENT] Image-enhanced endoscopy | Narrow-band imaging | Second primary tumor | Esophageal cancer | Head and neck cancer [SUMMARY]
[CONTENT] Image-enhanced endoscopy | Narrow-band imaging | Second primary tumor | Esophageal cancer | Head and neck cancer [SUMMARY]
[CONTENT] Image-enhanced endoscopy | Narrow-band imaging | Second primary tumor | Esophageal cancer | Head and neck cancer [SUMMARY]
[CONTENT] Image-enhanced endoscopy | Narrow-band imaging | Second primary tumor | Esophageal cancer | Head and neck cancer [SUMMARY]
[CONTENT] Image-enhanced endoscopy | Narrow-band imaging | Second primary tumor | Esophageal cancer | Head and neck cancer [SUMMARY]
[CONTENT] Adult | Alcohol Drinking | Areca | Body Mass Index | Carcinoma | Carcinoma in Situ | Case-Control Studies | Esophageal Neoplasms | Esophagoscopy | Esophagus | Female | Head and Neck Neoplasms | Humans | Logistic Models | Male | Middle Aged | Multivariate Analysis | Narrow Band Imaging | Neoplasm Staging | Neoplasms, Multiple Primary | Risk Factors | Smoking [SUMMARY]
[CONTENT] Adult | Alcohol Drinking | Areca | Body Mass Index | Carcinoma | Carcinoma in Situ | Case-Control Studies | Esophageal Neoplasms | Esophagoscopy | Esophagus | Female | Head and Neck Neoplasms | Humans | Logistic Models | Male | Middle Aged | Multivariate Analysis | Narrow Band Imaging | Neoplasm Staging | Neoplasms, Multiple Primary | Risk Factors | Smoking [SUMMARY]
[CONTENT] Adult | Alcohol Drinking | Areca | Body Mass Index | Carcinoma | Carcinoma in Situ | Case-Control Studies | Esophageal Neoplasms | Esophagoscopy | Esophagus | Female | Head and Neck Neoplasms | Humans | Logistic Models | Male | Middle Aged | Multivariate Analysis | Narrow Band Imaging | Neoplasm Staging | Neoplasms, Multiple Primary | Risk Factors | Smoking [SUMMARY]
[CONTENT] Adult | Alcohol Drinking | Areca | Body Mass Index | Carcinoma | Carcinoma in Situ | Case-Control Studies | Esophageal Neoplasms | Esophagoscopy | Esophagus | Female | Head and Neck Neoplasms | Humans | Logistic Models | Male | Middle Aged | Multivariate Analysis | Narrow Band Imaging | Neoplasm Staging | Neoplasms, Multiple Primary | Risk Factors | Smoking [SUMMARY]
[CONTENT] Adult | Alcohol Drinking | Areca | Body Mass Index | Carcinoma | Carcinoma in Situ | Case-Control Studies | Esophageal Neoplasms | Esophagoscopy | Esophagus | Female | Head and Neck Neoplasms | Humans | Logistic Models | Male | Middle Aged | Multivariate Analysis | Narrow Band Imaging | Neoplasm Staging | Neoplasms, Multiple Primary | Risk Factors | Smoking [SUMMARY]
[CONTENT] Adult | Alcohol Drinking | Areca | Body Mass Index | Carcinoma | Carcinoma in Situ | Case-Control Studies | Esophageal Neoplasms | Esophagoscopy | Esophagus | Female | Head and Neck Neoplasms | Humans | Logistic Models | Male | Middle Aged | Multivariate Analysis | Narrow Band Imaging | Neoplasm Staging | Neoplasms, Multiple Primary | Risk Factors | Smoking [SUMMARY]
[CONTENT] cancerization esophageal | esophageal neoplasia endoscopy | carcinoma esophagus | cancers synchronous esophageal | surveillance esophagus cancer [SUMMARY]
[CONTENT] cancerization esophageal | esophageal neoplasia endoscopy | carcinoma esophagus | cancers synchronous esophageal | surveillance esophagus cancer [SUMMARY]
[CONTENT] cancerization esophageal | esophageal neoplasia endoscopy | carcinoma esophagus | cancers synchronous esophageal | surveillance esophagus cancer [SUMMARY]
[CONTENT] cancerization esophageal | esophageal neoplasia endoscopy | carcinoma esophagus | cancers synchronous esophageal | surveillance esophagus cancer [SUMMARY]
[CONTENT] cancerization esophageal | esophageal neoplasia endoscopy | carcinoma esophagus | cancers synchronous esophageal | surveillance esophagus cancer [SUMMARY]
[CONTENT] cancerization esophageal | esophageal neoplasia endoscopy | carcinoma esophagus | cancers synchronous esophageal | surveillance esophagus cancer [SUMMARY]
[CONTENT] cancer | neoplasia | esophageal | patients | risk | esophageal neoplasia | cancer patients | study | synchronous | endoscopic [SUMMARY]
[CONTENT] cancer | neoplasia | esophageal | patients | risk | esophageal neoplasia | cancer patients | study | synchronous | endoscopic [SUMMARY]
[CONTENT] cancer | neoplasia | esophageal | patients | risk | esophageal neoplasia | cancer patients | study | synchronous | endoscopic [SUMMARY]
[CONTENT] cancer | neoplasia | esophageal | patients | risk | esophageal neoplasia | cancer patients | study | synchronous | endoscopic [SUMMARY]
[CONTENT] cancer | neoplasia | esophageal | patients | risk | esophageal neoplasia | cancer patients | study | synchronous | endoscopic [SUMMARY]
[CONTENT] cancer | neoplasia | esophageal | patients | risk | esophageal neoplasia | cancer patients | study | synchronous | endoscopic [SUMMARY]
[CONTENT] screening | risk | routine | esophagus | early | cancer | iee | high | prospective | prospective study [SUMMARY]
[CONTENT] neoplasia | lugol | system | 20 | endoscopic | cancer | risk | performed | examined | patients [SUMMARY]
[CONTENT] esophageal | neoplasia | patients | esophageal neoplasia | esophageal lesions | cancer | grade | lesions | 95 ci | 95 [SUMMARY]
[CONTENT] initial | routine | cancer patients | diagnosed cancer patients | newly diagnosed cancer | newly diagnosed cancer patients | diagnosed cancer | surveillance esophagus | patients | cancer [SUMMARY]
[CONTENT] cancer | neoplasia | esophageal | patients | risk | cancer patients | esophageal neoplasia | study | synchronous | endoscopic [SUMMARY]
[CONTENT] cancer | neoplasia | esophageal | patients | risk | cancer patients | esophageal neoplasia | study | synchronous | endoscopic [SUMMARY]
[CONTENT] neoplasia | H&N | H&N ||| neoplasia | H&N [SUMMARY]
[CONTENT] 129 | H&N | NBI | 1.5% [SUMMARY]
[CONTENT] 60 | 41.1% | 11 | 14 | neoplasia | 12 | 30 | 23.3% ||| ||| 5.90 | 95% | CI | 1.23 | III | IV | H&N | 2.98 | 95% | CI | 1.11-7.99 | BMI | 0.87 | 95% | CI | 0.76-0.99 | neoplasia ||| NBI | 97.3% | 94.1% | 96.3% ||| 20 | 15.5% ||| 6.45 | 95% | 4.60-10.90 [SUMMARY]
[CONTENT] NBI | H&N | BMI [SUMMARY]
[CONTENT] neoplasia | H&N | H&N ||| neoplasia | H&N ||| 129 | H&N | NBI | 1.5% ||| 60 | 41.1% | 11 | 14 | neoplasia | 12 | 30 | 23.3% ||| ||| 5.90 | 95% | CI | 1.23 | III | IV | H&N | 2.98 | 95% | CI | 1.11-7.99 | BMI | 0.87 | 95% | CI | 0.76-0.99 | neoplasia ||| NBI | 97.3% | 94.1% | 96.3% ||| 20 | 15.5% ||| 6.45 | 95% | 4.60-10.90 ||| H&N | BMI [SUMMARY]
[CONTENT] neoplasia | H&N | H&N ||| neoplasia | H&N ||| 129 | H&N | NBI | 1.5% ||| 60 | 41.1% | 11 | 14 | neoplasia | 12 | 30 | 23.3% ||| ||| 5.90 | 95% | CI | 1.23 | III | IV | H&N | 2.98 | 95% | CI | 1.11-7.99 | BMI | 0.87 | 95% | CI | 0.76-0.99 | neoplasia ||| NBI | 97.3% | 94.1% | 96.3% ||| 20 | 15.5% ||| 6.45 | 95% | 4.60-10.90 ||| H&N | BMI [SUMMARY]
Cost-effectiveness of internet-based cognitive behavior therapy for irritable bowel syndrome: results from a randomized controlled trial.
21473754
Irritable Bowel Syndrome (IBS) is highly prevalent and is associated with a substantial economic burden. Cognitive behavior therapy (CBT) has been shown to be effective in treating IBS. The aim of this study was to evaluate the cost-effectiveness of a new treatment alternative, internet-delivered CBT based on exposure and mindfulness exercises.
BACKGROUND
Participants (N = 85) with IBS were recruited through self-referral and were assessed via a telephone interview and self-report measures on the internet. Participants were randomized to internet-delivered CBT or to a discussion forum. Economic data was assessed at pre-, post- and at 3-month and 1 year follow-up.
METHODS
Significant cost reductions were found for the treatment group at $16,806 per successfully treated case. The cost reductions were mainly driven by reduced work loss in the treatment group. Results were sustained at 3-month and 1 year follow-up.
RESULTS
Internet-delivered CBT appears to generate health gains in IBS treatment and is associated with cost-savings from a societal perspective.
CONCLUSIONS
[ "Adult", "Cognitive Behavioral Therapy", "Cost of Illness", "Cost-Benefit Analysis", "Employment", "Female", "Follow-Up Studies", "Humans", "Internet", "Irritable Bowel Syndrome", "Male", "Middle Aged", "Treatment Outcome", "Young Adult" ]
3083356
Background
Irritable bowel syndrome (IBS) is a highly prevalent gastrointestinal disorder [1] that is associated with production losses [2,3] and increased levels of health service utilization [3,4]. The high prevalence rate combined with the costs associated for each afflicted individual makes IBS a considerable economic burden for society. Research indicates that psychological interventions - such as cognitive behavior therapy (CBT), hypnotherapy and psychodynamic therapy - can be effective in reducing IBS symptoms [5]. In addition, there is some evidence indicating that psychological treatments are cost-effective. In a study by Creed et al. [6], 171 patients with IBS were randomized to receive either 8 sessions of individual psychodynamic therapy, paroxetine, or care as usual. At one-year follow-up, the psychotherapy condition was associated with significant reductions in health care consumption when compared to care as usual, whereas the paroxetine group did not show a similar reduction. In a study by McCrone et al. [7], CBT was found to have a reasonable short-term cost-effectiveness but not beyond 3-month follow-up. In summary, although psychological treatments are effective in reducing IBS symptoms there is insufficient evidence of their cost-effectiveness. Our research group has recently conducted a randomized controlled trial of internet-delivered CBT for IBS [8]. The main reason for using the internet as method of delivery is to increase the availability of the treatment. Evidence-based psychological treatments are often unavailable due to a lack of properly trained therapists [9]. Internet-delivered CBT with minimal therapist contact has been found to be effective for a number of psychiatric and somatic problems [10,11], and are likely to be cost-effective and more accessible to patients [12]. However, there is little evidence regarding the economic aspects of internet-delivered CBT.
Methods
Sample Participants were eligible for the study if they had been diagnosed with IBS by a physician before applying for the study and if they presently fulfilled the Rome III criteria for IBS [13]. The Montgomery Åsberg Depression Rating Scale - Self report [MADRS-S; [14]] was used to exclude participants, fulfilling criteria for suicide ideation (item 9 ≥ 4), and severe depressive symptoms(total score ≥ 30). Participants fulfilling criteria for substance dependence according to Alcohol Use Disorders Identification Test [AUDIT; [15]] or Drug Use Disorders Identification Test [DUDIT; [16]] and participants suffering from psychosis, manic episode, or anorexia were also excluded. Procedure Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1. Flowchart of study participants. (no figure legend). Demographics The study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment. The study protocol was approved by the regional ethics committee in Stockholm, Sweden. Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1. Flowchart of study participants. (no figure legend). Demographics The study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment. The study protocol was approved by the regional ethics committee in Stockholm, Sweden. Participants were eligible for the study if they had been diagnosed with IBS by a physician before applying for the study and if they presently fulfilled the Rome III criteria for IBS [13]. The Montgomery Åsberg Depression Rating Scale - Self report [MADRS-S; [14]] was used to exclude participants, fulfilling criteria for suicide ideation (item 9 ≥ 4), and severe depressive symptoms(total score ≥ 30). Participants fulfilling criteria for substance dependence according to Alcohol Use Disorders Identification Test [AUDIT; [15]] or Drug Use Disorders Identification Test [DUDIT; [16]] and participants suffering from psychosis, manic episode, or anorexia were also excluded. Procedure Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1. Flowchart of study participants. (no figure legend). Demographics The study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment. The study protocol was approved by the regional ethics committee in Stockholm, Sweden. Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1. Flowchart of study participants. (no figure legend). Demographics The study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment. The study protocol was approved by the regional ethics committee in Stockholm, Sweden. Interventions The experimental group was given a ten-week internet-delivered cognitive behavioral treatment with therapist support via e-mail. The mean therapist time spent on each participant was 165 minutes (SD = 85 min). The treatment consisted of graded exposure to IBS-symptoms and mindfulness exercises. The treatment protocol is further described in Ljótsson et al. [18] and Ljótsson et al. [8]. Participants in the control group took part in a discussion forum and could contact a therapist for general support if they wished (mean therapist time was 10 minutes, SD = 23). The experimental group was given a ten-week internet-delivered cognitive behavioral treatment with therapist support via e-mail. The mean therapist time spent on each participant was 165 minutes (SD = 85 min). The treatment consisted of graded exposure to IBS-symptoms and mindfulness exercises. The treatment protocol is further described in Ljótsson et al. [18] and Ljótsson et al. [8]. Participants in the control group took part in a discussion forum and could contact a therapist for general support if they wished (mean therapist time was 10 minutes, SD = 23). Clinical outcome The primary outcome was the Gastrointestinal Symptom rating scale-IBS version (GSRS-IBS) [19]. A clinically significant improvement was defined as a 50% reduction of GSRS-IBS score [20]. The primary outcome was the Gastrointestinal Symptom rating scale-IBS version (GSRS-IBS) [19]. A clinically significant improvement was defined as a 50% reduction of GSRS-IBS score [20]. Cost assessment Cost data were obtained with the Trimbos and Institute of Medical Technology Assessment Cost Questionnaire for Psychiatry (TIC-P) [21]. In this questionnaire, participants report their health care consumption during the last month (e.g. GP visits), as well as time spent in informal health enhancing activities (e.g. self-help groups and informal care from friends). Participants also report their level of sick leave and reduced work capacity both at work and in the domestic realm and unemployment status during the last month. These self-reports were used to estimate the costs of each participant's health care consumption, work loss, and work cutback. Medication costs were based on the free market price in Sweden. Costs from health service visits were estimated using established tariffs in Sweden. The human capital approach was used for valuation of the productivity losses, which means that monetary losses associated with work loss and work cutback were based on the participants' gross earning for the full length of their sick leave [22]. Gross earnings were estimated using the average salary in Sweden by education level. Domestic losses were estimated at $ 13.17 per hour, reflecting the free market price of domestic help [23]. The costs were originally computed in Swedish Crowns and then converted into US $ using the purchasing power parities of the OECD for the reference year 2008 [24]. The direct medical costs associated with the intervention were mainly driven by the costs of therapists. In this study, the therapists were graduate psychology students under supervision, but in the analysis we used the full economic cost price of a licensed clinical psychologist. The time the therapist spent on treating the participants was registered and multiplied by this cost. We also estimated the costs of the participants' time, again at $13.17/hour, thus equating it with domestic help and assuming that people engaged in the intervention after office hours. The cost estimations of the control group were based on the time spent on the internet discussion forum. The cost estimations in the treatment group were based on the self-reported time the participants spent reading the treatment material and performing homework exercises plus the time spent on the discussion forum, Cost data were obtained with the Trimbos and Institute of Medical Technology Assessment Cost Questionnaire for Psychiatry (TIC-P) [21]. In this questionnaire, participants report their health care consumption during the last month (e.g. GP visits), as well as time spent in informal health enhancing activities (e.g. self-help groups and informal care from friends). Participants also report their level of sick leave and reduced work capacity both at work and in the domestic realm and unemployment status during the last month. These self-reports were used to estimate the costs of each participant's health care consumption, work loss, and work cutback. Medication costs were based on the free market price in Sweden. Costs from health service visits were estimated using established tariffs in Sweden. The human capital approach was used for valuation of the productivity losses, which means that monetary losses associated with work loss and work cutback were based on the participants' gross earning for the full length of their sick leave [22]. Gross earnings were estimated using the average salary in Sweden by education level. Domestic losses were estimated at $ 13.17 per hour, reflecting the free market price of domestic help [23]. The costs were originally computed in Swedish Crowns and then converted into US $ using the purchasing power parities of the OECD for the reference year 2008 [24]. The direct medical costs associated with the intervention were mainly driven by the costs of therapists. In this study, the therapists were graduate psychology students under supervision, but in the analysis we used the full economic cost price of a licensed clinical psychologist. The time the therapist spent on treating the participants was registered and multiplied by this cost. We also estimated the costs of the participants' time, again at $13.17/hour, thus equating it with domestic help and assuming that people engaged in the intervention after office hours. The cost estimations of the control group were based on the time spent on the internet discussion forum. The cost estimations in the treatment group were based on the self-reported time the participants spent reading the treatment material and performing homework exercises plus the time spent on the discussion forum, Analysis The analysis was conducted in accordance with the intention to treat principle, which means that all participants were included in analysis regardless of adherence to treatment. Missing data were imputed using the last observation carried forward method. The statistical analysis was conducted in four steps using STATA IC/11.0 (Stata Corp). First, the cost differences between the treatment and control groups were estimated at pre-treatment and post-treatment. All costs were extrapolated to a 12-month period. Since the cost data were assumed to be non-normally distributed, p-values were estimated using a general linear model while employing non-parametric bootstrap analysis (5,000 replications). Such analyses are considered to generate robust estimates of standard errors of the costs [25]. Secondly, we compared the counts of clinically significant improvements across the conditions. Using a Poisson regression framework allowed us to test if the rate of favorable treatment responses in the experimental condition was higher than 1 relative to the control condition. The number needed treat (NNT) was computed as the inverse of the risk difference, which was obtained under a linear probability model [26]. Thirdly, the incremental cost-effectiveness ratio (ICER) was estimated. We computed pre-post differences in costs and effects. We then computed differences in costs and effects between both conditions taking the cost difference over the effect difference: (C(exp) - C(ctr))/(E(exp) - E(ctr)). C is the difference of the costs of IBS and the intervention between the pre and post assessments. E refers to the treatment response between both conditions [22]. This calculation was repeated 5,000 times (for each bootstrap sample) generating a scatter of simulated ICERs across the ICER plane (see Figure 2). Cost-effectiveness plane. (no figure legend). Fourthly, the robustness of the results was tested in four different sensitivity analyses. First, the main analysis was repeated with only the direct medical costs included, hence narrowing the economic evaluation to a health service perspective. Second, the total costs were calculated with the unemployment costs excluded. This was done because the costs due to productivity losses from unemployment are large when accumulated over a 12-month period and could (in spite of randomization) be affected by factors not associated with IBS. Third, the missing data were reanalyzed using linear regression imputation as implemented in STATA. This was done to test whether last observation carried forward was indeed a more conservative imputation method. Fourth, we investigated the long-term impact on the ICER using 3-month and 1-year follow-up economic data. Since the control group was crossed over to treatment there was no comparison group at the follow-up assessment. The 3-month and 1 year follow-up of the treatment group data were therefore compared with the post-treatment data of the control group, thus assuming that the control group would have been unchanged if had been untreated during the follow-up periods. This was done to test whether the extrapolation to a 12-month period was a reliable analysis procedure. Lastly, since the control group was crossed over to treatment and also participated in the follow-up, the long-term costs were calculated separately for that group. The analysis was conducted in accordance with the intention to treat principle, which means that all participants were included in analysis regardless of adherence to treatment. Missing data were imputed using the last observation carried forward method. The statistical analysis was conducted in four steps using STATA IC/11.0 (Stata Corp). First, the cost differences between the treatment and control groups were estimated at pre-treatment and post-treatment. All costs were extrapolated to a 12-month period. Since the cost data were assumed to be non-normally distributed, p-values were estimated using a general linear model while employing non-parametric bootstrap analysis (5,000 replications). Such analyses are considered to generate robust estimates of standard errors of the costs [25]. Secondly, we compared the counts of clinically significant improvements across the conditions. Using a Poisson regression framework allowed us to test if the rate of favorable treatment responses in the experimental condition was higher than 1 relative to the control condition. The number needed treat (NNT) was computed as the inverse of the risk difference, which was obtained under a linear probability model [26]. Thirdly, the incremental cost-effectiveness ratio (ICER) was estimated. We computed pre-post differences in costs and effects. We then computed differences in costs and effects between both conditions taking the cost difference over the effect difference: (C(exp) - C(ctr))/(E(exp) - E(ctr)). C is the difference of the costs of IBS and the intervention between the pre and post assessments. E refers to the treatment response between both conditions [22]. This calculation was repeated 5,000 times (for each bootstrap sample) generating a scatter of simulated ICERs across the ICER plane (see Figure 2). Cost-effectiveness plane. (no figure legend). Fourthly, the robustness of the results was tested in four different sensitivity analyses. First, the main analysis was repeated with only the direct medical costs included, hence narrowing the economic evaluation to a health service perspective. Second, the total costs were calculated with the unemployment costs excluded. This was done because the costs due to productivity losses from unemployment are large when accumulated over a 12-month period and could (in spite of randomization) be affected by factors not associated with IBS. Third, the missing data were reanalyzed using linear regression imputation as implemented in STATA. This was done to test whether last observation carried forward was indeed a more conservative imputation method. Fourth, we investigated the long-term impact on the ICER using 3-month and 1-year follow-up economic data. Since the control group was crossed over to treatment there was no comparison group at the follow-up assessment. The 3-month and 1 year follow-up of the treatment group data were therefore compared with the post-treatment data of the control group, thus assuming that the control group would have been unchanged if had been untreated during the follow-up periods. This was done to test whether the extrapolation to a 12-month period was a reliable analysis procedure. Lastly, since the control group was crossed over to treatment and also participated in the follow-up, the long-term costs were calculated separately for that group.
null
null
Conclusions
The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2458/11/215/prepub
[ "Background", "Sample", "Procedure", "Interventions", "Clinical outcome", "Cost assessment", "Analysis", "Results", "Costs", "Treatment efficacy", "Cost effectiveness", "Sensitivity analyses", "The control group at follow up", "Discussion", "Conclusions" ]
[ "Irritable bowel syndrome (IBS) is a highly prevalent gastrointestinal disorder [1] that is associated with production losses [2,3] and increased levels of health service utilization [3,4]. The high prevalence rate combined with the costs associated for each afflicted individual makes IBS a considerable economic burden for society. Research indicates that psychological interventions - such as cognitive behavior therapy (CBT), hypnotherapy and psychodynamic therapy - can be effective in reducing IBS symptoms [5]. In addition, there is some evidence indicating that psychological treatments are cost-effective. In a study by Creed et al. [6], 171 patients with IBS were randomized to receive either 8 sessions of individual psychodynamic therapy, paroxetine, or care as usual. At one-year follow-up, the psychotherapy condition was associated with significant reductions in health care consumption when compared to care as usual, whereas the paroxetine group did not show a similar reduction. In a study by McCrone et al. [7], CBT was found to have a reasonable short-term cost-effectiveness but not beyond 3-month follow-up. In summary, although psychological treatments are effective in reducing IBS symptoms there is insufficient evidence of their cost-effectiveness.\nOur research group has recently conducted a randomized controlled trial of internet-delivered CBT for IBS [8]. The main reason for using the internet as method of delivery is to increase the availability of the treatment. Evidence-based psychological treatments are often unavailable due to a lack of properly trained therapists [9]. Internet-delivered CBT with minimal therapist contact has been found to be effective for a number of psychiatric and somatic problems [10,11], and are likely to be cost-effective and more accessible to patients [12]. However, there is little evidence regarding the economic aspects of internet-delivered CBT.", "Participants were eligible for the study if they had been diagnosed with IBS by a physician before applying for the study and if they presently fulfilled the Rome III criteria for IBS [13]. The Montgomery Åsberg Depression Rating Scale - Self report [MADRS-S; [14]] was used to exclude participants, fulfilling criteria for suicide ideation (item 9 ≥ 4), and severe depressive symptoms(total score ≥ 30). Participants fulfilling criteria for substance dependence according to Alcohol Use Disorders Identification Test [AUDIT; [15]] or Drug Use Disorders Identification Test [DUDIT; [16]] and participants suffering from psychosis, manic episode, or anorexia were also excluded.\n Procedure Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1.\nFlowchart of study participants. (no figure legend).\nDemographics\nThe study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment.\nThe study protocol was approved by the regional ethics committee in Stockholm, Sweden.\nFigure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1.\nFlowchart of study participants. (no figure legend).\nDemographics\nThe study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment.\nThe study protocol was approved by the regional ethics committee in Stockholm, Sweden.", "Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1.\nFlowchart of study participants. (no figure legend).\nDemographics\nThe study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment.\nThe study protocol was approved by the regional ethics committee in Stockholm, Sweden.", "The experimental group was given a ten-week internet-delivered cognitive behavioral treatment with therapist support via e-mail. The mean therapist time spent on each participant was 165 minutes (SD = 85 min). The treatment consisted of graded exposure to IBS-symptoms and mindfulness exercises. The treatment protocol is further described in Ljótsson et al. [18] and Ljótsson et al. [8]. Participants in the control group took part in a discussion forum and could contact a therapist for general support if they wished (mean therapist time was 10 minutes, SD = 23).", "The primary outcome was the Gastrointestinal Symptom rating scale-IBS version (GSRS-IBS) [19]. A clinically significant improvement was defined as a 50% reduction of GSRS-IBS score [20].", "Cost data were obtained with the Trimbos and Institute of Medical Technology Assessment Cost Questionnaire for Psychiatry (TIC-P) [21]. In this questionnaire, participants report their health care consumption during the last month (e.g. GP visits), as well as time spent in informal health enhancing activities (e.g. self-help groups and informal care from friends). Participants also report their level of sick leave and reduced work capacity both at work and in the domestic realm and unemployment status during the last month.\nThese self-reports were used to estimate the costs of each participant's health care consumption, work loss, and work cutback. Medication costs were based on the free market price in Sweden. Costs from health service visits were estimated using established tariffs in Sweden. The human capital approach was used for valuation of the productivity losses, which means that monetary losses associated with work loss and work cutback were based on the participants' gross earning for the full length of their sick leave [22]. Gross earnings were estimated using the average salary in Sweden by education level. Domestic losses were estimated at $ 13.17 per hour, reflecting the free market price of domestic help [23]. The costs were originally computed in Swedish Crowns and then converted into US $ using the purchasing power parities of the OECD for the reference year 2008 [24].\nThe direct medical costs associated with the intervention were mainly driven by the costs of therapists. In this study, the therapists were graduate psychology students under supervision, but in the analysis we used the full economic cost price of a licensed clinical psychologist.\nThe time the therapist spent on treating the participants was registered and multiplied by this cost. We also estimated the costs of the participants' time, again at $13.17/hour, thus equating it with domestic help and assuming that people engaged in the intervention after office hours. The cost estimations of the control group were based on the time spent on the internet discussion forum. The cost estimations in the treatment group were based on the self-reported time the participants spent reading the treatment material and performing homework exercises plus the time spent on the discussion forum,", "The analysis was conducted in accordance with the intention to treat principle, which means that all participants were included in analysis regardless of adherence to treatment. Missing data were imputed using the last observation carried forward method. The statistical analysis was conducted in four steps using STATA IC/11.0 (Stata Corp).\nFirst, the cost differences between the treatment and control groups were estimated at pre-treatment and post-treatment. All costs were extrapolated to a 12-month period. Since the cost data were assumed to be non-normally distributed, p-values were estimated using a general linear model while employing non-parametric bootstrap analysis (5,000 replications). Such analyses are considered to generate robust estimates of standard errors of the costs [25].\nSecondly, we compared the counts of clinically significant improvements across the conditions. Using a Poisson regression framework allowed us to test if the rate of favorable treatment responses in the experimental condition was higher than 1 relative to the control condition. The number needed treat (NNT) was computed as the inverse of the risk difference, which was obtained under a linear probability model [26].\nThirdly, the incremental cost-effectiveness ratio (ICER) was estimated. We computed pre-post differences in costs and effects. We then computed differences in costs and effects between both conditions taking the cost difference over the effect difference: (C(exp) - C(ctr))/(E(exp) - E(ctr)). C is the difference of the costs of IBS and the intervention between the pre and post assessments. E refers to the treatment response between both conditions [22]. This calculation was repeated 5,000 times (for each bootstrap sample) generating a scatter of simulated ICERs across the ICER plane (see Figure 2).\nCost-effectiveness plane. (no figure legend).\nFourthly, the robustness of the results was tested in four different sensitivity analyses. First, the main analysis was repeated with only the direct medical costs included, hence narrowing the economic evaluation to a health service perspective. Second, the total costs were calculated with the unemployment costs excluded. This was done because the costs due to productivity losses from unemployment are large when accumulated over a 12-month period and could (in spite of randomization) be affected by factors not associated with IBS. Third, the missing data were reanalyzed using linear regression imputation as implemented in STATA. This was done to test whether last observation carried forward was indeed a more conservative imputation method. Fourth, we investigated the long-term impact on the ICER using 3-month and 1-year follow-up economic data. Since the control group was crossed over to treatment there was no comparison group at the follow-up assessment. The 3-month and 1 year follow-up of the treatment group data were therefore compared with the post-treatment data of the control group, thus assuming that the control group would have been unchanged if had been untreated during the follow-up periods. This was done to test whether the extrapolation to a 12-month period was a reliable analysis procedure.\nLastly, since the control group was crossed over to treatment and also participated in the follow-up, the long-term costs were calculated separately for that group.", " Costs Table 2 presents the annual per capita costs of IBS at pre-treatment and post-treatment assessment for both treatment and control groups and 3-month and 1 year follow-up for the treatment group. At post treatment, we found significant cost differences regarding the gross total monetary change, Z = -2.06, P < 0.05, as well as the indirect non-medical costs, Z = -2.20, P < 0.05.\nMean annual costs\nTable 2 presents the annual per capita costs of IBS at pre-treatment and post-treatment assessment for both treatment and control groups and 3-month and 1 year follow-up for the treatment group. At post treatment, we found significant cost differences regarding the gross total monetary change, Z = -2.06, P < 0.05, as well as the indirect non-medical costs, Z = -2.20, P < 0.05.\nMean annual costs\n Treatment efficacy The fraction of recovered participants in the intervention condition at post treatment was 15/42 = 0.36 and 1/43 = 0.02 in the control condition. Hence, the likelihood ratio for a favorable treatment response was 0.36/0.02 = 15.36, representing a 15-fold increase of the recovery rate in the intervention relative to the control condition (95% confidence interval 2.1 to 111.1). This was statistically significant, Z= 2.64, P < 0.01. The NNT to generate one clinically significant improvement was 2.99 (95%CI 2 to 5), which means that three patients need to receive the intervention to generate one clinically significant improvement. At the 3-month follow-up, the fraction of recovered participants in the CBT condition was 14/42 = 0.33, and at one-year follow-up this figure was 18/42 = 0.43. In sum, the effects appear to be sustained over a 12-month period.\nThe fraction of recovered participants in the intervention condition at post treatment was 15/42 = 0.36 and 1/43 = 0.02 in the control condition. Hence, the likelihood ratio for a favorable treatment response was 0.36/0.02 = 15.36, representing a 15-fold increase of the recovery rate in the intervention relative to the control condition (95% confidence interval 2.1 to 111.1). This was statistically significant, Z= 2.64, P < 0.01. The NNT to generate one clinically significant improvement was 2.99 (95%CI 2 to 5), which means that three patients need to receive the intervention to generate one clinically significant improvement. At the 3-month follow-up, the fraction of recovered participants in the CBT condition was 14/42 = 0.33, and at one-year follow-up this figure was 18/42 = 0.43. In sum, the effects appear to be sustained over a 12-month period.\n Cost effectiveness The cost change for the treatment group was 16,988 - 20,867 = -3879. The cost change in the control group was 16,872 - 15,036 = 1835. The incremental cost effectiveness ratio (ICER) was (-3879 - 1835)/(0.36 - 0.02) = -16,806. This means that each significant clinical improvement in IBS is associated with a societal cost-reduction of $16,806. Figure 2 presents the scatter of simulated ICERs across the four quadrants of the ICER plane. If the bulk of simulated ICERs appear in the southeast quadrant of the figure, lower costs are associated with a health gain. From a cost-effectiveness perspective, this is the most favorable outcome. If a majority of the simulated ICERs appear in the northwest quadrant, higher costs are associated with a lowered effectiveness, thus making the new intervention unacceptable from a cost-effectiveness perspective. Nearly all simulated ICERs (96%) were located in the southeast quadrant, indicating that the treatment produced beneficial effects and reduces costs for society compared to a no treatment control condition.\nThe cost change for the treatment group was 16,988 - 20,867 = -3879. The cost change in the control group was 16,872 - 15,036 = 1835. The incremental cost effectiveness ratio (ICER) was (-3879 - 1835)/(0.36 - 0.02) = -16,806. This means that each significant clinical improvement in IBS is associated with a societal cost-reduction of $16,806. Figure 2 presents the scatter of simulated ICERs across the four quadrants of the ICER plane. If the bulk of simulated ICERs appear in the southeast quadrant of the figure, lower costs are associated with a health gain. From a cost-effectiveness perspective, this is the most favorable outcome. If a majority of the simulated ICERs appear in the northwest quadrant, higher costs are associated with a lowered effectiveness, thus making the new intervention unacceptable from a cost-effectiveness perspective. Nearly all simulated ICERs (96%) were located in the southeast quadrant, indicating that the treatment produced beneficial effects and reduces costs for society compared to a no treatment control condition.\n Sensitivity analyses When only including direct medical costs in the estimation, 48% of the simulated ICERs were located in the southeast quadrant. When analyzing all data but excluding the unemployment variable, 41% of the dots were located in the southeast quadrant. Data were reanalyzed using regression imputation of missing data instead of last observation carried forward (4 imputations, R-square = 0.93). A majority (98%) of the simulated ICERs were still located in the southeast quadrant, attesting to the robustness of our findings. Finally in order to investigate the long-term impact, we repeated the analyses with follow-up economic data for the treatment group. Using 3-month and 1-year follow-up data, 97% and 89% of the dots were located in the southeast quadrant, respectively.\nWhen only including direct medical costs in the estimation, 48% of the simulated ICERs were located in the southeast quadrant. When analyzing all data but excluding the unemployment variable, 41% of the dots were located in the southeast quadrant. Data were reanalyzed using regression imputation of missing data instead of last observation carried forward (4 imputations, R-square = 0.93). A majority (98%) of the simulated ICERs were still located in the southeast quadrant, attesting to the robustness of our findings. Finally in order to investigate the long-term impact, we repeated the analyses with follow-up economic data for the treatment group. Using 3-month and 1-year follow-up data, 97% and 89% of the dots were located in the southeast quadrant, respectively.\n The control group at follow up After the post-treatment the control group was crossed over to treatment. At the 1 year follow-up the group also presented with cost reductions (pre treatment; $15,036, follow-up; $13,008). Additionally 19/43 of the control group participants reported clinically significant symptom relief.\nAfter the post-treatment the control group was crossed over to treatment. At the 1 year follow-up the group also presented with cost reductions (pre treatment; $15,036, follow-up; $13,008). Additionally 19/43 of the control group participants reported clinically significant symptom relief.", "Table 2 presents the annual per capita costs of IBS at pre-treatment and post-treatment assessment for both treatment and control groups and 3-month and 1 year follow-up for the treatment group. At post treatment, we found significant cost differences regarding the gross total monetary change, Z = -2.06, P < 0.05, as well as the indirect non-medical costs, Z = -2.20, P < 0.05.\nMean annual costs", "The fraction of recovered participants in the intervention condition at post treatment was 15/42 = 0.36 and 1/43 = 0.02 in the control condition. Hence, the likelihood ratio for a favorable treatment response was 0.36/0.02 = 15.36, representing a 15-fold increase of the recovery rate in the intervention relative to the control condition (95% confidence interval 2.1 to 111.1). This was statistically significant, Z= 2.64, P < 0.01. The NNT to generate one clinically significant improvement was 2.99 (95%CI 2 to 5), which means that three patients need to receive the intervention to generate one clinically significant improvement. At the 3-month follow-up, the fraction of recovered participants in the CBT condition was 14/42 = 0.33, and at one-year follow-up this figure was 18/42 = 0.43. In sum, the effects appear to be sustained over a 12-month period.", "The cost change for the treatment group was 16,988 - 20,867 = -3879. The cost change in the control group was 16,872 - 15,036 = 1835. The incremental cost effectiveness ratio (ICER) was (-3879 - 1835)/(0.36 - 0.02) = -16,806. This means that each significant clinical improvement in IBS is associated with a societal cost-reduction of $16,806. Figure 2 presents the scatter of simulated ICERs across the four quadrants of the ICER plane. If the bulk of simulated ICERs appear in the southeast quadrant of the figure, lower costs are associated with a health gain. From a cost-effectiveness perspective, this is the most favorable outcome. If a majority of the simulated ICERs appear in the northwest quadrant, higher costs are associated with a lowered effectiveness, thus making the new intervention unacceptable from a cost-effectiveness perspective. Nearly all simulated ICERs (96%) were located in the southeast quadrant, indicating that the treatment produced beneficial effects and reduces costs for society compared to a no treatment control condition.", "When only including direct medical costs in the estimation, 48% of the simulated ICERs were located in the southeast quadrant. When analyzing all data but excluding the unemployment variable, 41% of the dots were located in the southeast quadrant. Data were reanalyzed using regression imputation of missing data instead of last observation carried forward (4 imputations, R-square = 0.93). A majority (98%) of the simulated ICERs were still located in the southeast quadrant, attesting to the robustness of our findings. Finally in order to investigate the long-term impact, we repeated the analyses with follow-up economic data for the treatment group. Using 3-month and 1-year follow-up data, 97% and 89% of the dots were located in the southeast quadrant, respectively.", "After the post-treatment the control group was crossed over to treatment. At the 1 year follow-up the group also presented with cost reductions (pre treatment; $15,036, follow-up; $13,008). Additionally 19/43 of the control group participants reported clinically significant symptom relief.", "The aim of this study was to determine whether internet-delivered CBT would be a cost-effective or perhaps even a cost-saving intervention for IBS. The results give preliminary evidence of the internet-delivered treatment as a cost-effective way of offering treatment; better still, our observations suggest that the intervention is cost saving from a societal point of view. Participants in the treatment condition demonstrated significant reductions in IBS symptoms compared to the control condition. These improvements were accompanied by cost reductions at post-treatment and at follow-up. While the intervention did introduce some costs of its own, these costs were offset by greater productivity levels both at paid work and in the domestic realm. Thirty-six percent of the participants in the treatment condition were clinically improved and for each case of clinical improvement in IBS symptoms $16,806 of societal costs were saved. Irrespective of modeled scenario and choice of imputation method the online CBT intervention was associated with cost offsets, demonstrating robustness of our findings. The control group showed similar improvements and cost-savings after being crossed over to treatment.\nThe results from this trial differ from the McCrone et al. [7] and Creed et al. [6] studies. In the Creed et al. study, significant reductions in health care costs were found at the one-year follow-up but no significant reductions in work loss for the psychotherapy group. One possible explanation for this difference could be that this study used a broader perspective including both work cutback as well as domestic loss in the cost-effectiveness analysis. In the McCrone et al. study, the CBT group did not show any significant reductions in work loss and the treatment was not cost-effective beyond 3-month follow-up. In the original treatment study that the McCrone et al. report was based on, the participants' improvements in symptom actually declined after the 3-month follow-up [27]. In contrast, the participants in our study demonstrated long-term maintenance of symptom reduction that could explain the long-term cost effectiveness. By and large, the results from this study provide additional evidence for internet-delivered CBT as a cost-effective treatment alternative for IBS.\nOur study has several limitations. First, the cost data was collected using self-reports and the accuracy of this methodology can be open-to-question. However, the recall period was relatively short (4 weeks) and there is no reason to assume that inaccuracies overly bias any of the two treatment conditions. In addition, previous research studies have indicated that self-reports are as reliable as administratively recorded data [28]. The TIC-P has been used in numerous studies [29-31] and has the advantage of being a broad measure covering health care uptake and productivity losses both in paid work as well as in the domestic realm. Therefore, the self-report methodology could be regarded as a feasible choice of measurement. Secondly, the use of 50% decline in IBS symptoms measured as criterion for clinically significant improvement might be inappropriate. This criterion has been used in several trials [20] of psychological treatment but other measures of clinically significant improvement have been proposed. The participants' subjective experience of \"adequate relief\" [32] has been used in both pharmacological [33] and psychological trials [9]. A 50 point reduction in score on the IBS-SSS [34] has also been used as clinically significant improvement in symptoms. These differences in determining a clinically significant outcome are problematic as they make it difficult to compare trials and treatments. It would therefore have been preferable if at least one of the adequate relief and IBS-SSS measures had been included in this study. Thirdly, the control condition participants were randomized to a waiting list and were therefore aware that they would eventually receive the treatment. This factor could possibly have an impact on the cost-effectiveness results since the study design did not allow control for attention and expectancy of improvement. A proper attention control condition would have provided a more reliable estimate the cost-effectiveness of the specific treatment used. Fourthly, the calculations are based on internet CBT in a research setting and the real market price of such interventions is still unknown. Fifth, we did not directly ask the participants about their gross earning but instead used the average Swedish salary based on the participant's education level. This lack of information could possible produce errors in the mean cost calculations regarding production losses. However, the participants were randomized and potential errors should not affect the between group ICER estimations. Finally, as the control group was crossed over to treatment no comparison group was available at the 3-month and 1 year follow-up. The short experimental time period makes the extrapolated estimates of long-term cost-effectiveness somewhat less reliable. However, when repeating the analyses with 3-month and 1 year follow-up clinical data, the scatter of the simulated ICERs over the cost-effectiveness plane did not differ in any substantial way and would not change our conclusions.", "To summarize, the findings from this study indicate that internet-delivered CBT for IBS can both be effective in treating IBS and generate cost savings for the society. Future evaluations should continue to investigate the cost-effectiveness as well as look more closely at the economic ramifications with regard to favorable treatment response. More research is also needed to expand our knowledge concerning the economic impact of internet-delivered CBT for IBS. We recommend that future studies use a more potent placebo condition and longer follow-up periods." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Sample", "Procedure", "Interventions", "Clinical outcome", "Cost assessment", "Analysis", "Results", "Costs", "Treatment efficacy", "Cost effectiveness", "Sensitivity analyses", "The control group at follow up", "Discussion", "Conclusions" ]
[ "Irritable bowel syndrome (IBS) is a highly prevalent gastrointestinal disorder [1] that is associated with production losses [2,3] and increased levels of health service utilization [3,4]. The high prevalence rate combined with the costs associated for each afflicted individual makes IBS a considerable economic burden for society. Research indicates that psychological interventions - such as cognitive behavior therapy (CBT), hypnotherapy and psychodynamic therapy - can be effective in reducing IBS symptoms [5]. In addition, there is some evidence indicating that psychological treatments are cost-effective. In a study by Creed et al. [6], 171 patients with IBS were randomized to receive either 8 sessions of individual psychodynamic therapy, paroxetine, or care as usual. At one-year follow-up, the psychotherapy condition was associated with significant reductions in health care consumption when compared to care as usual, whereas the paroxetine group did not show a similar reduction. In a study by McCrone et al. [7], CBT was found to have a reasonable short-term cost-effectiveness but not beyond 3-month follow-up. In summary, although psychological treatments are effective in reducing IBS symptoms there is insufficient evidence of their cost-effectiveness.\nOur research group has recently conducted a randomized controlled trial of internet-delivered CBT for IBS [8]. The main reason for using the internet as method of delivery is to increase the availability of the treatment. Evidence-based psychological treatments are often unavailable due to a lack of properly trained therapists [9]. Internet-delivered CBT with minimal therapist contact has been found to be effective for a number of psychiatric and somatic problems [10,11], and are likely to be cost-effective and more accessible to patients [12]. However, there is little evidence regarding the economic aspects of internet-delivered CBT.", " Sample Participants were eligible for the study if they had been diagnosed with IBS by a physician before applying for the study and if they presently fulfilled the Rome III criteria for IBS [13]. The Montgomery Åsberg Depression Rating Scale - Self report [MADRS-S; [14]] was used to exclude participants, fulfilling criteria for suicide ideation (item 9 ≥ 4), and severe depressive symptoms(total score ≥ 30). Participants fulfilling criteria for substance dependence according to Alcohol Use Disorders Identification Test [AUDIT; [15]] or Drug Use Disorders Identification Test [DUDIT; [16]] and participants suffering from psychosis, manic episode, or anorexia were also excluded.\n Procedure Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1.\nFlowchart of study participants. (no figure legend).\nDemographics\nThe study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment.\nThe study protocol was approved by the regional ethics committee in Stockholm, Sweden.\nFigure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1.\nFlowchart of study participants. (no figure legend).\nDemographics\nThe study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment.\nThe study protocol was approved by the regional ethics committee in Stockholm, Sweden.\nParticipants were eligible for the study if they had been diagnosed with IBS by a physician before applying for the study and if they presently fulfilled the Rome III criteria for IBS [13]. The Montgomery Åsberg Depression Rating Scale - Self report [MADRS-S; [14]] was used to exclude participants, fulfilling criteria for suicide ideation (item 9 ≥ 4), and severe depressive symptoms(total score ≥ 30). Participants fulfilling criteria for substance dependence according to Alcohol Use Disorders Identification Test [AUDIT; [15]] or Drug Use Disorders Identification Test [DUDIT; [16]] and participants suffering from psychosis, manic episode, or anorexia were also excluded.\n Procedure Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1.\nFlowchart of study participants. (no figure legend).\nDemographics\nThe study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment.\nThe study protocol was approved by the regional ethics committee in Stockholm, Sweden.\nFigure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1.\nFlowchart of study participants. (no figure legend).\nDemographics\nThe study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment.\nThe study protocol was approved by the regional ethics committee in Stockholm, Sweden.\n Interventions The experimental group was given a ten-week internet-delivered cognitive behavioral treatment with therapist support via e-mail. The mean therapist time spent on each participant was 165 minutes (SD = 85 min). The treatment consisted of graded exposure to IBS-symptoms and mindfulness exercises. The treatment protocol is further described in Ljótsson et al. [18] and Ljótsson et al. [8]. Participants in the control group took part in a discussion forum and could contact a therapist for general support if they wished (mean therapist time was 10 minutes, SD = 23).\nThe experimental group was given a ten-week internet-delivered cognitive behavioral treatment with therapist support via e-mail. The mean therapist time spent on each participant was 165 minutes (SD = 85 min). The treatment consisted of graded exposure to IBS-symptoms and mindfulness exercises. The treatment protocol is further described in Ljótsson et al. [18] and Ljótsson et al. [8]. Participants in the control group took part in a discussion forum and could contact a therapist for general support if they wished (mean therapist time was 10 minutes, SD = 23).\n Clinical outcome The primary outcome was the Gastrointestinal Symptom rating scale-IBS version (GSRS-IBS) [19]. A clinically significant improvement was defined as a 50% reduction of GSRS-IBS score [20].\nThe primary outcome was the Gastrointestinal Symptom rating scale-IBS version (GSRS-IBS) [19]. A clinically significant improvement was defined as a 50% reduction of GSRS-IBS score [20].\n Cost assessment Cost data were obtained with the Trimbos and Institute of Medical Technology Assessment Cost Questionnaire for Psychiatry (TIC-P) [21]. In this questionnaire, participants report their health care consumption during the last month (e.g. GP visits), as well as time spent in informal health enhancing activities (e.g. self-help groups and informal care from friends). Participants also report their level of sick leave and reduced work capacity both at work and in the domestic realm and unemployment status during the last month.\nThese self-reports were used to estimate the costs of each participant's health care consumption, work loss, and work cutback. Medication costs were based on the free market price in Sweden. Costs from health service visits were estimated using established tariffs in Sweden. The human capital approach was used for valuation of the productivity losses, which means that monetary losses associated with work loss and work cutback were based on the participants' gross earning for the full length of their sick leave [22]. Gross earnings were estimated using the average salary in Sweden by education level. Domestic losses were estimated at $ 13.17 per hour, reflecting the free market price of domestic help [23]. The costs were originally computed in Swedish Crowns and then converted into US $ using the purchasing power parities of the OECD for the reference year 2008 [24].\nThe direct medical costs associated with the intervention were mainly driven by the costs of therapists. In this study, the therapists were graduate psychology students under supervision, but in the analysis we used the full economic cost price of a licensed clinical psychologist.\nThe time the therapist spent on treating the participants was registered and multiplied by this cost. We also estimated the costs of the participants' time, again at $13.17/hour, thus equating it with domestic help and assuming that people engaged in the intervention after office hours. The cost estimations of the control group were based on the time spent on the internet discussion forum. The cost estimations in the treatment group were based on the self-reported time the participants spent reading the treatment material and performing homework exercises plus the time spent on the discussion forum,\nCost data were obtained with the Trimbos and Institute of Medical Technology Assessment Cost Questionnaire for Psychiatry (TIC-P) [21]. In this questionnaire, participants report their health care consumption during the last month (e.g. GP visits), as well as time spent in informal health enhancing activities (e.g. self-help groups and informal care from friends). Participants also report their level of sick leave and reduced work capacity both at work and in the domestic realm and unemployment status during the last month.\nThese self-reports were used to estimate the costs of each participant's health care consumption, work loss, and work cutback. Medication costs were based on the free market price in Sweden. Costs from health service visits were estimated using established tariffs in Sweden. The human capital approach was used for valuation of the productivity losses, which means that monetary losses associated with work loss and work cutback were based on the participants' gross earning for the full length of their sick leave [22]. Gross earnings were estimated using the average salary in Sweden by education level. Domestic losses were estimated at $ 13.17 per hour, reflecting the free market price of domestic help [23]. The costs were originally computed in Swedish Crowns and then converted into US $ using the purchasing power parities of the OECD for the reference year 2008 [24].\nThe direct medical costs associated with the intervention were mainly driven by the costs of therapists. In this study, the therapists were graduate psychology students under supervision, but in the analysis we used the full economic cost price of a licensed clinical psychologist.\nThe time the therapist spent on treating the participants was registered and multiplied by this cost. We also estimated the costs of the participants' time, again at $13.17/hour, thus equating it with domestic help and assuming that people engaged in the intervention after office hours. The cost estimations of the control group were based on the time spent on the internet discussion forum. The cost estimations in the treatment group were based on the self-reported time the participants spent reading the treatment material and performing homework exercises plus the time spent on the discussion forum,\n Analysis The analysis was conducted in accordance with the intention to treat principle, which means that all participants were included in analysis regardless of adherence to treatment. Missing data were imputed using the last observation carried forward method. The statistical analysis was conducted in four steps using STATA IC/11.0 (Stata Corp).\nFirst, the cost differences between the treatment and control groups were estimated at pre-treatment and post-treatment. All costs were extrapolated to a 12-month period. Since the cost data were assumed to be non-normally distributed, p-values were estimated using a general linear model while employing non-parametric bootstrap analysis (5,000 replications). Such analyses are considered to generate robust estimates of standard errors of the costs [25].\nSecondly, we compared the counts of clinically significant improvements across the conditions. Using a Poisson regression framework allowed us to test if the rate of favorable treatment responses in the experimental condition was higher than 1 relative to the control condition. The number needed treat (NNT) was computed as the inverse of the risk difference, which was obtained under a linear probability model [26].\nThirdly, the incremental cost-effectiveness ratio (ICER) was estimated. We computed pre-post differences in costs and effects. We then computed differences in costs and effects between both conditions taking the cost difference over the effect difference: (C(exp) - C(ctr))/(E(exp) - E(ctr)). C is the difference of the costs of IBS and the intervention between the pre and post assessments. E refers to the treatment response between both conditions [22]. This calculation was repeated 5,000 times (for each bootstrap sample) generating a scatter of simulated ICERs across the ICER plane (see Figure 2).\nCost-effectiveness plane. (no figure legend).\nFourthly, the robustness of the results was tested in four different sensitivity analyses. First, the main analysis was repeated with only the direct medical costs included, hence narrowing the economic evaluation to a health service perspective. Second, the total costs were calculated with the unemployment costs excluded. This was done because the costs due to productivity losses from unemployment are large when accumulated over a 12-month period and could (in spite of randomization) be affected by factors not associated with IBS. Third, the missing data were reanalyzed using linear regression imputation as implemented in STATA. This was done to test whether last observation carried forward was indeed a more conservative imputation method. Fourth, we investigated the long-term impact on the ICER using 3-month and 1-year follow-up economic data. Since the control group was crossed over to treatment there was no comparison group at the follow-up assessment. The 3-month and 1 year follow-up of the treatment group data were therefore compared with the post-treatment data of the control group, thus assuming that the control group would have been unchanged if had been untreated during the follow-up periods. This was done to test whether the extrapolation to a 12-month period was a reliable analysis procedure.\nLastly, since the control group was crossed over to treatment and also participated in the follow-up, the long-term costs were calculated separately for that group.\nThe analysis was conducted in accordance with the intention to treat principle, which means that all participants were included in analysis regardless of adherence to treatment. Missing data were imputed using the last observation carried forward method. The statistical analysis was conducted in four steps using STATA IC/11.0 (Stata Corp).\nFirst, the cost differences between the treatment and control groups were estimated at pre-treatment and post-treatment. All costs were extrapolated to a 12-month period. Since the cost data were assumed to be non-normally distributed, p-values were estimated using a general linear model while employing non-parametric bootstrap analysis (5,000 replications). Such analyses are considered to generate robust estimates of standard errors of the costs [25].\nSecondly, we compared the counts of clinically significant improvements across the conditions. Using a Poisson regression framework allowed us to test if the rate of favorable treatment responses in the experimental condition was higher than 1 relative to the control condition. The number needed treat (NNT) was computed as the inverse of the risk difference, which was obtained under a linear probability model [26].\nThirdly, the incremental cost-effectiveness ratio (ICER) was estimated. We computed pre-post differences in costs and effects. We then computed differences in costs and effects between both conditions taking the cost difference over the effect difference: (C(exp) - C(ctr))/(E(exp) - E(ctr)). C is the difference of the costs of IBS and the intervention between the pre and post assessments. E refers to the treatment response between both conditions [22]. This calculation was repeated 5,000 times (for each bootstrap sample) generating a scatter of simulated ICERs across the ICER plane (see Figure 2).\nCost-effectiveness plane. (no figure legend).\nFourthly, the robustness of the results was tested in four different sensitivity analyses. First, the main analysis was repeated with only the direct medical costs included, hence narrowing the economic evaluation to a health service perspective. Second, the total costs were calculated with the unemployment costs excluded. This was done because the costs due to productivity losses from unemployment are large when accumulated over a 12-month period and could (in spite of randomization) be affected by factors not associated with IBS. Third, the missing data were reanalyzed using linear regression imputation as implemented in STATA. This was done to test whether last observation carried forward was indeed a more conservative imputation method. Fourth, we investigated the long-term impact on the ICER using 3-month and 1-year follow-up economic data. Since the control group was crossed over to treatment there was no comparison group at the follow-up assessment. The 3-month and 1 year follow-up of the treatment group data were therefore compared with the post-treatment data of the control group, thus assuming that the control group would have been unchanged if had been untreated during the follow-up periods. This was done to test whether the extrapolation to a 12-month period was a reliable analysis procedure.\nLastly, since the control group was crossed over to treatment and also participated in the follow-up, the long-term costs were calculated separately for that group.", "Participants were eligible for the study if they had been diagnosed with IBS by a physician before applying for the study and if they presently fulfilled the Rome III criteria for IBS [13]. The Montgomery Åsberg Depression Rating Scale - Self report [MADRS-S; [14]] was used to exclude participants, fulfilling criteria for suicide ideation (item 9 ≥ 4), and severe depressive symptoms(total score ≥ 30). Participants fulfilling criteria for substance dependence according to Alcohol Use Disorders Identification Test [AUDIT; [15]] or Drug Use Disorders Identification Test [DUDIT; [16]] and participants suffering from psychosis, manic episode, or anorexia were also excluded.\n Procedure Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1.\nFlowchart of study participants. (no figure legend).\nDemographics\nThe study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment.\nThe study protocol was approved by the regional ethics committee in Stockholm, Sweden.\nFigure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1.\nFlowchart of study participants. (no figure legend).\nDemographics\nThe study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment.\nThe study protocol was approved by the regional ethics committee in Stockholm, Sweden.", "Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1.\nFlowchart of study participants. (no figure legend).\nDemographics\nThe study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment.\nThe study protocol was approved by the regional ethics committee in Stockholm, Sweden.", "The experimental group was given a ten-week internet-delivered cognitive behavioral treatment with therapist support via e-mail. The mean therapist time spent on each participant was 165 minutes (SD = 85 min). The treatment consisted of graded exposure to IBS-symptoms and mindfulness exercises. The treatment protocol is further described in Ljótsson et al. [18] and Ljótsson et al. [8]. Participants in the control group took part in a discussion forum and could contact a therapist for general support if they wished (mean therapist time was 10 minutes, SD = 23).", "The primary outcome was the Gastrointestinal Symptom rating scale-IBS version (GSRS-IBS) [19]. A clinically significant improvement was defined as a 50% reduction of GSRS-IBS score [20].", "Cost data were obtained with the Trimbos and Institute of Medical Technology Assessment Cost Questionnaire for Psychiatry (TIC-P) [21]. In this questionnaire, participants report their health care consumption during the last month (e.g. GP visits), as well as time spent in informal health enhancing activities (e.g. self-help groups and informal care from friends). Participants also report their level of sick leave and reduced work capacity both at work and in the domestic realm and unemployment status during the last month.\nThese self-reports were used to estimate the costs of each participant's health care consumption, work loss, and work cutback. Medication costs were based on the free market price in Sweden. Costs from health service visits were estimated using established tariffs in Sweden. The human capital approach was used for valuation of the productivity losses, which means that monetary losses associated with work loss and work cutback were based on the participants' gross earning for the full length of their sick leave [22]. Gross earnings were estimated using the average salary in Sweden by education level. Domestic losses were estimated at $ 13.17 per hour, reflecting the free market price of domestic help [23]. The costs were originally computed in Swedish Crowns and then converted into US $ using the purchasing power parities of the OECD for the reference year 2008 [24].\nThe direct medical costs associated with the intervention were mainly driven by the costs of therapists. In this study, the therapists were graduate psychology students under supervision, but in the analysis we used the full economic cost price of a licensed clinical psychologist.\nThe time the therapist spent on treating the participants was registered and multiplied by this cost. We also estimated the costs of the participants' time, again at $13.17/hour, thus equating it with domestic help and assuming that people engaged in the intervention after office hours. The cost estimations of the control group were based on the time spent on the internet discussion forum. The cost estimations in the treatment group were based on the self-reported time the participants spent reading the treatment material and performing homework exercises plus the time spent on the discussion forum,", "The analysis was conducted in accordance with the intention to treat principle, which means that all participants were included in analysis regardless of adherence to treatment. Missing data were imputed using the last observation carried forward method. The statistical analysis was conducted in four steps using STATA IC/11.0 (Stata Corp).\nFirst, the cost differences between the treatment and control groups were estimated at pre-treatment and post-treatment. All costs were extrapolated to a 12-month period. Since the cost data were assumed to be non-normally distributed, p-values were estimated using a general linear model while employing non-parametric bootstrap analysis (5,000 replications). Such analyses are considered to generate robust estimates of standard errors of the costs [25].\nSecondly, we compared the counts of clinically significant improvements across the conditions. Using a Poisson regression framework allowed us to test if the rate of favorable treatment responses in the experimental condition was higher than 1 relative to the control condition. The number needed treat (NNT) was computed as the inverse of the risk difference, which was obtained under a linear probability model [26].\nThirdly, the incremental cost-effectiveness ratio (ICER) was estimated. We computed pre-post differences in costs and effects. We then computed differences in costs and effects between both conditions taking the cost difference over the effect difference: (C(exp) - C(ctr))/(E(exp) - E(ctr)). C is the difference of the costs of IBS and the intervention between the pre and post assessments. E refers to the treatment response between both conditions [22]. This calculation was repeated 5,000 times (for each bootstrap sample) generating a scatter of simulated ICERs across the ICER plane (see Figure 2).\nCost-effectiveness plane. (no figure legend).\nFourthly, the robustness of the results was tested in four different sensitivity analyses. First, the main analysis was repeated with only the direct medical costs included, hence narrowing the economic evaluation to a health service perspective. Second, the total costs were calculated with the unemployment costs excluded. This was done because the costs due to productivity losses from unemployment are large when accumulated over a 12-month period and could (in spite of randomization) be affected by factors not associated with IBS. Third, the missing data were reanalyzed using linear regression imputation as implemented in STATA. This was done to test whether last observation carried forward was indeed a more conservative imputation method. Fourth, we investigated the long-term impact on the ICER using 3-month and 1-year follow-up economic data. Since the control group was crossed over to treatment there was no comparison group at the follow-up assessment. The 3-month and 1 year follow-up of the treatment group data were therefore compared with the post-treatment data of the control group, thus assuming that the control group would have been unchanged if had been untreated during the follow-up periods. This was done to test whether the extrapolation to a 12-month period was a reliable analysis procedure.\nLastly, since the control group was crossed over to treatment and also participated in the follow-up, the long-term costs were calculated separately for that group.", " Costs Table 2 presents the annual per capita costs of IBS at pre-treatment and post-treatment assessment for both treatment and control groups and 3-month and 1 year follow-up for the treatment group. At post treatment, we found significant cost differences regarding the gross total monetary change, Z = -2.06, P < 0.05, as well as the indirect non-medical costs, Z = -2.20, P < 0.05.\nMean annual costs\nTable 2 presents the annual per capita costs of IBS at pre-treatment and post-treatment assessment for both treatment and control groups and 3-month and 1 year follow-up for the treatment group. At post treatment, we found significant cost differences regarding the gross total monetary change, Z = -2.06, P < 0.05, as well as the indirect non-medical costs, Z = -2.20, P < 0.05.\nMean annual costs\n Treatment efficacy The fraction of recovered participants in the intervention condition at post treatment was 15/42 = 0.36 and 1/43 = 0.02 in the control condition. Hence, the likelihood ratio for a favorable treatment response was 0.36/0.02 = 15.36, representing a 15-fold increase of the recovery rate in the intervention relative to the control condition (95% confidence interval 2.1 to 111.1). This was statistically significant, Z= 2.64, P < 0.01. The NNT to generate one clinically significant improvement was 2.99 (95%CI 2 to 5), which means that three patients need to receive the intervention to generate one clinically significant improvement. At the 3-month follow-up, the fraction of recovered participants in the CBT condition was 14/42 = 0.33, and at one-year follow-up this figure was 18/42 = 0.43. In sum, the effects appear to be sustained over a 12-month period.\nThe fraction of recovered participants in the intervention condition at post treatment was 15/42 = 0.36 and 1/43 = 0.02 in the control condition. Hence, the likelihood ratio for a favorable treatment response was 0.36/0.02 = 15.36, representing a 15-fold increase of the recovery rate in the intervention relative to the control condition (95% confidence interval 2.1 to 111.1). This was statistically significant, Z= 2.64, P < 0.01. The NNT to generate one clinically significant improvement was 2.99 (95%CI 2 to 5), which means that three patients need to receive the intervention to generate one clinically significant improvement. At the 3-month follow-up, the fraction of recovered participants in the CBT condition was 14/42 = 0.33, and at one-year follow-up this figure was 18/42 = 0.43. In sum, the effects appear to be sustained over a 12-month period.\n Cost effectiveness The cost change for the treatment group was 16,988 - 20,867 = -3879. The cost change in the control group was 16,872 - 15,036 = 1835. The incremental cost effectiveness ratio (ICER) was (-3879 - 1835)/(0.36 - 0.02) = -16,806. This means that each significant clinical improvement in IBS is associated with a societal cost-reduction of $16,806. Figure 2 presents the scatter of simulated ICERs across the four quadrants of the ICER plane. If the bulk of simulated ICERs appear in the southeast quadrant of the figure, lower costs are associated with a health gain. From a cost-effectiveness perspective, this is the most favorable outcome. If a majority of the simulated ICERs appear in the northwest quadrant, higher costs are associated with a lowered effectiveness, thus making the new intervention unacceptable from a cost-effectiveness perspective. Nearly all simulated ICERs (96%) were located in the southeast quadrant, indicating that the treatment produced beneficial effects and reduces costs for society compared to a no treatment control condition.\nThe cost change for the treatment group was 16,988 - 20,867 = -3879. The cost change in the control group was 16,872 - 15,036 = 1835. The incremental cost effectiveness ratio (ICER) was (-3879 - 1835)/(0.36 - 0.02) = -16,806. This means that each significant clinical improvement in IBS is associated with a societal cost-reduction of $16,806. Figure 2 presents the scatter of simulated ICERs across the four quadrants of the ICER plane. If the bulk of simulated ICERs appear in the southeast quadrant of the figure, lower costs are associated with a health gain. From a cost-effectiveness perspective, this is the most favorable outcome. If a majority of the simulated ICERs appear in the northwest quadrant, higher costs are associated with a lowered effectiveness, thus making the new intervention unacceptable from a cost-effectiveness perspective. Nearly all simulated ICERs (96%) were located in the southeast quadrant, indicating that the treatment produced beneficial effects and reduces costs for society compared to a no treatment control condition.\n Sensitivity analyses When only including direct medical costs in the estimation, 48% of the simulated ICERs were located in the southeast quadrant. When analyzing all data but excluding the unemployment variable, 41% of the dots were located in the southeast quadrant. Data were reanalyzed using regression imputation of missing data instead of last observation carried forward (4 imputations, R-square = 0.93). A majority (98%) of the simulated ICERs were still located in the southeast quadrant, attesting to the robustness of our findings. Finally in order to investigate the long-term impact, we repeated the analyses with follow-up economic data for the treatment group. Using 3-month and 1-year follow-up data, 97% and 89% of the dots were located in the southeast quadrant, respectively.\nWhen only including direct medical costs in the estimation, 48% of the simulated ICERs were located in the southeast quadrant. When analyzing all data but excluding the unemployment variable, 41% of the dots were located in the southeast quadrant. Data were reanalyzed using regression imputation of missing data instead of last observation carried forward (4 imputations, R-square = 0.93). A majority (98%) of the simulated ICERs were still located in the southeast quadrant, attesting to the robustness of our findings. Finally in order to investigate the long-term impact, we repeated the analyses with follow-up economic data for the treatment group. Using 3-month and 1-year follow-up data, 97% and 89% of the dots were located in the southeast quadrant, respectively.\n The control group at follow up After the post-treatment the control group was crossed over to treatment. At the 1 year follow-up the group also presented with cost reductions (pre treatment; $15,036, follow-up; $13,008). Additionally 19/43 of the control group participants reported clinically significant symptom relief.\nAfter the post-treatment the control group was crossed over to treatment. At the 1 year follow-up the group also presented with cost reductions (pre treatment; $15,036, follow-up; $13,008). Additionally 19/43 of the control group participants reported clinically significant symptom relief.", "Table 2 presents the annual per capita costs of IBS at pre-treatment and post-treatment assessment for both treatment and control groups and 3-month and 1 year follow-up for the treatment group. At post treatment, we found significant cost differences regarding the gross total monetary change, Z = -2.06, P < 0.05, as well as the indirect non-medical costs, Z = -2.20, P < 0.05.\nMean annual costs", "The fraction of recovered participants in the intervention condition at post treatment was 15/42 = 0.36 and 1/43 = 0.02 in the control condition. Hence, the likelihood ratio for a favorable treatment response was 0.36/0.02 = 15.36, representing a 15-fold increase of the recovery rate in the intervention relative to the control condition (95% confidence interval 2.1 to 111.1). This was statistically significant, Z= 2.64, P < 0.01. The NNT to generate one clinically significant improvement was 2.99 (95%CI 2 to 5), which means that three patients need to receive the intervention to generate one clinically significant improvement. At the 3-month follow-up, the fraction of recovered participants in the CBT condition was 14/42 = 0.33, and at one-year follow-up this figure was 18/42 = 0.43. In sum, the effects appear to be sustained over a 12-month period.", "The cost change for the treatment group was 16,988 - 20,867 = -3879. The cost change in the control group was 16,872 - 15,036 = 1835. The incremental cost effectiveness ratio (ICER) was (-3879 - 1835)/(0.36 - 0.02) = -16,806. This means that each significant clinical improvement in IBS is associated with a societal cost-reduction of $16,806. Figure 2 presents the scatter of simulated ICERs across the four quadrants of the ICER plane. If the bulk of simulated ICERs appear in the southeast quadrant of the figure, lower costs are associated with a health gain. From a cost-effectiveness perspective, this is the most favorable outcome. If a majority of the simulated ICERs appear in the northwest quadrant, higher costs are associated with a lowered effectiveness, thus making the new intervention unacceptable from a cost-effectiveness perspective. Nearly all simulated ICERs (96%) were located in the southeast quadrant, indicating that the treatment produced beneficial effects and reduces costs for society compared to a no treatment control condition.", "When only including direct medical costs in the estimation, 48% of the simulated ICERs were located in the southeast quadrant. When analyzing all data but excluding the unemployment variable, 41% of the dots were located in the southeast quadrant. Data were reanalyzed using regression imputation of missing data instead of last observation carried forward (4 imputations, R-square = 0.93). A majority (98%) of the simulated ICERs were still located in the southeast quadrant, attesting to the robustness of our findings. Finally in order to investigate the long-term impact, we repeated the analyses with follow-up economic data for the treatment group. Using 3-month and 1-year follow-up data, 97% and 89% of the dots were located in the southeast quadrant, respectively.", "After the post-treatment the control group was crossed over to treatment. At the 1 year follow-up the group also presented with cost reductions (pre treatment; $15,036, follow-up; $13,008). Additionally 19/43 of the control group participants reported clinically significant symptom relief.", "The aim of this study was to determine whether internet-delivered CBT would be a cost-effective or perhaps even a cost-saving intervention for IBS. The results give preliminary evidence of the internet-delivered treatment as a cost-effective way of offering treatment; better still, our observations suggest that the intervention is cost saving from a societal point of view. Participants in the treatment condition demonstrated significant reductions in IBS symptoms compared to the control condition. These improvements were accompanied by cost reductions at post-treatment and at follow-up. While the intervention did introduce some costs of its own, these costs were offset by greater productivity levels both at paid work and in the domestic realm. Thirty-six percent of the participants in the treatment condition were clinically improved and for each case of clinical improvement in IBS symptoms $16,806 of societal costs were saved. Irrespective of modeled scenario and choice of imputation method the online CBT intervention was associated with cost offsets, demonstrating robustness of our findings. The control group showed similar improvements and cost-savings after being crossed over to treatment.\nThe results from this trial differ from the McCrone et al. [7] and Creed et al. [6] studies. In the Creed et al. study, significant reductions in health care costs were found at the one-year follow-up but no significant reductions in work loss for the psychotherapy group. One possible explanation for this difference could be that this study used a broader perspective including both work cutback as well as domestic loss in the cost-effectiveness analysis. In the McCrone et al. study, the CBT group did not show any significant reductions in work loss and the treatment was not cost-effective beyond 3-month follow-up. In the original treatment study that the McCrone et al. report was based on, the participants' improvements in symptom actually declined after the 3-month follow-up [27]. In contrast, the participants in our study demonstrated long-term maintenance of symptom reduction that could explain the long-term cost effectiveness. By and large, the results from this study provide additional evidence for internet-delivered CBT as a cost-effective treatment alternative for IBS.\nOur study has several limitations. First, the cost data was collected using self-reports and the accuracy of this methodology can be open-to-question. However, the recall period was relatively short (4 weeks) and there is no reason to assume that inaccuracies overly bias any of the two treatment conditions. In addition, previous research studies have indicated that self-reports are as reliable as administratively recorded data [28]. The TIC-P has been used in numerous studies [29-31] and has the advantage of being a broad measure covering health care uptake and productivity losses both in paid work as well as in the domestic realm. Therefore, the self-report methodology could be regarded as a feasible choice of measurement. Secondly, the use of 50% decline in IBS symptoms measured as criterion for clinically significant improvement might be inappropriate. This criterion has been used in several trials [20] of psychological treatment but other measures of clinically significant improvement have been proposed. The participants' subjective experience of \"adequate relief\" [32] has been used in both pharmacological [33] and psychological trials [9]. A 50 point reduction in score on the IBS-SSS [34] has also been used as clinically significant improvement in symptoms. These differences in determining a clinically significant outcome are problematic as they make it difficult to compare trials and treatments. It would therefore have been preferable if at least one of the adequate relief and IBS-SSS measures had been included in this study. Thirdly, the control condition participants were randomized to a waiting list and were therefore aware that they would eventually receive the treatment. This factor could possibly have an impact on the cost-effectiveness results since the study design did not allow control for attention and expectancy of improvement. A proper attention control condition would have provided a more reliable estimate the cost-effectiveness of the specific treatment used. Fourthly, the calculations are based on internet CBT in a research setting and the real market price of such interventions is still unknown. Fifth, we did not directly ask the participants about their gross earning but instead used the average Swedish salary based on the participant's education level. This lack of information could possible produce errors in the mean cost calculations regarding production losses. However, the participants were randomized and potential errors should not affect the between group ICER estimations. Finally, as the control group was crossed over to treatment no comparison group was available at the 3-month and 1 year follow-up. The short experimental time period makes the extrapolated estimates of long-term cost-effectiveness somewhat less reliable. However, when repeating the analyses with 3-month and 1 year follow-up clinical data, the scatter of the simulated ICERs over the cost-effectiveness plane did not differ in any substantial way and would not change our conclusions.", "To summarize, the findings from this study indicate that internet-delivered CBT for IBS can both be effective in treating IBS and generate cost savings for the society. Future evaluations should continue to investigate the cost-effectiveness as well as look more closely at the economic ramifications with regard to favorable treatment response. More research is also needed to expand our knowledge concerning the economic impact of internet-delivered CBT for IBS. We recommend that future studies use a more potent placebo condition and longer follow-up periods." ]
[ null, "methods", null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Cognitive behavior therapy", "internet", "IBS", "cost-effectiveness analysis" ]
Background: Irritable bowel syndrome (IBS) is a highly prevalent gastrointestinal disorder [1] that is associated with production losses [2,3] and increased levels of health service utilization [3,4]. The high prevalence rate combined with the costs associated for each afflicted individual makes IBS a considerable economic burden for society. Research indicates that psychological interventions - such as cognitive behavior therapy (CBT), hypnotherapy and psychodynamic therapy - can be effective in reducing IBS symptoms [5]. In addition, there is some evidence indicating that psychological treatments are cost-effective. In a study by Creed et al. [6], 171 patients with IBS were randomized to receive either 8 sessions of individual psychodynamic therapy, paroxetine, or care as usual. At one-year follow-up, the psychotherapy condition was associated with significant reductions in health care consumption when compared to care as usual, whereas the paroxetine group did not show a similar reduction. In a study by McCrone et al. [7], CBT was found to have a reasonable short-term cost-effectiveness but not beyond 3-month follow-up. In summary, although psychological treatments are effective in reducing IBS symptoms there is insufficient evidence of their cost-effectiveness. Our research group has recently conducted a randomized controlled trial of internet-delivered CBT for IBS [8]. The main reason for using the internet as method of delivery is to increase the availability of the treatment. Evidence-based psychological treatments are often unavailable due to a lack of properly trained therapists [9]. Internet-delivered CBT with minimal therapist contact has been found to be effective for a number of psychiatric and somatic problems [10,11], and are likely to be cost-effective and more accessible to patients [12]. However, there is little evidence regarding the economic aspects of internet-delivered CBT. Methods: Sample Participants were eligible for the study if they had been diagnosed with IBS by a physician before applying for the study and if they presently fulfilled the Rome III criteria for IBS [13]. The Montgomery Åsberg Depression Rating Scale - Self report [MADRS-S; [14]] was used to exclude participants, fulfilling criteria for suicide ideation (item 9 ≥ 4), and severe depressive symptoms(total score ≥ 30). Participants fulfilling criteria for substance dependence according to Alcohol Use Disorders Identification Test [AUDIT; [15]] or Drug Use Disorders Identification Test [DUDIT; [16]] and participants suffering from psychosis, manic episode, or anorexia were also excluded. Procedure Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1. Flowchart of study participants. (no figure legend). Demographics The study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment. The study protocol was approved by the regional ethics committee in Stockholm, Sweden. Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1. Flowchart of study participants. (no figure legend). Demographics The study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment. The study protocol was approved by the regional ethics committee in Stockholm, Sweden. Participants were eligible for the study if they had been diagnosed with IBS by a physician before applying for the study and if they presently fulfilled the Rome III criteria for IBS [13]. The Montgomery Åsberg Depression Rating Scale - Self report [MADRS-S; [14]] was used to exclude participants, fulfilling criteria for suicide ideation (item 9 ≥ 4), and severe depressive symptoms(total score ≥ 30). Participants fulfilling criteria for substance dependence according to Alcohol Use Disorders Identification Test [AUDIT; [15]] or Drug Use Disorders Identification Test [DUDIT; [16]] and participants suffering from psychosis, manic episode, or anorexia were also excluded. Procedure Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1. Flowchart of study participants. (no figure legend). Demographics The study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment. The study protocol was approved by the regional ethics committee in Stockholm, Sweden. Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1. Flowchart of study participants. (no figure legend). Demographics The study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment. The study protocol was approved by the regional ethics committee in Stockholm, Sweden. Interventions The experimental group was given a ten-week internet-delivered cognitive behavioral treatment with therapist support via e-mail. The mean therapist time spent on each participant was 165 minutes (SD = 85 min). The treatment consisted of graded exposure to IBS-symptoms and mindfulness exercises. The treatment protocol is further described in Ljótsson et al. [18] and Ljótsson et al. [8]. Participants in the control group took part in a discussion forum and could contact a therapist for general support if they wished (mean therapist time was 10 minutes, SD = 23). The experimental group was given a ten-week internet-delivered cognitive behavioral treatment with therapist support via e-mail. The mean therapist time spent on each participant was 165 minutes (SD = 85 min). The treatment consisted of graded exposure to IBS-symptoms and mindfulness exercises. The treatment protocol is further described in Ljótsson et al. [18] and Ljótsson et al. [8]. Participants in the control group took part in a discussion forum and could contact a therapist for general support if they wished (mean therapist time was 10 minutes, SD = 23). Clinical outcome The primary outcome was the Gastrointestinal Symptom rating scale-IBS version (GSRS-IBS) [19]. A clinically significant improvement was defined as a 50% reduction of GSRS-IBS score [20]. The primary outcome was the Gastrointestinal Symptom rating scale-IBS version (GSRS-IBS) [19]. A clinically significant improvement was defined as a 50% reduction of GSRS-IBS score [20]. Cost assessment Cost data were obtained with the Trimbos and Institute of Medical Technology Assessment Cost Questionnaire for Psychiatry (TIC-P) [21]. In this questionnaire, participants report their health care consumption during the last month (e.g. GP visits), as well as time spent in informal health enhancing activities (e.g. self-help groups and informal care from friends). Participants also report their level of sick leave and reduced work capacity both at work and in the domestic realm and unemployment status during the last month. These self-reports were used to estimate the costs of each participant's health care consumption, work loss, and work cutback. Medication costs were based on the free market price in Sweden. Costs from health service visits were estimated using established tariffs in Sweden. The human capital approach was used for valuation of the productivity losses, which means that monetary losses associated with work loss and work cutback were based on the participants' gross earning for the full length of their sick leave [22]. Gross earnings were estimated using the average salary in Sweden by education level. Domestic losses were estimated at $ 13.17 per hour, reflecting the free market price of domestic help [23]. The costs were originally computed in Swedish Crowns and then converted into US $ using the purchasing power parities of the OECD for the reference year 2008 [24]. The direct medical costs associated with the intervention were mainly driven by the costs of therapists. In this study, the therapists were graduate psychology students under supervision, but in the analysis we used the full economic cost price of a licensed clinical psychologist. The time the therapist spent on treating the participants was registered and multiplied by this cost. We also estimated the costs of the participants' time, again at $13.17/hour, thus equating it with domestic help and assuming that people engaged in the intervention after office hours. The cost estimations of the control group were based on the time spent on the internet discussion forum. The cost estimations in the treatment group were based on the self-reported time the participants spent reading the treatment material and performing homework exercises plus the time spent on the discussion forum, Cost data were obtained with the Trimbos and Institute of Medical Technology Assessment Cost Questionnaire for Psychiatry (TIC-P) [21]. In this questionnaire, participants report their health care consumption during the last month (e.g. GP visits), as well as time spent in informal health enhancing activities (e.g. self-help groups and informal care from friends). Participants also report their level of sick leave and reduced work capacity both at work and in the domestic realm and unemployment status during the last month. These self-reports were used to estimate the costs of each participant's health care consumption, work loss, and work cutback. Medication costs were based on the free market price in Sweden. Costs from health service visits were estimated using established tariffs in Sweden. The human capital approach was used for valuation of the productivity losses, which means that monetary losses associated with work loss and work cutback were based on the participants' gross earning for the full length of their sick leave [22]. Gross earnings were estimated using the average salary in Sweden by education level. Domestic losses were estimated at $ 13.17 per hour, reflecting the free market price of domestic help [23]. The costs were originally computed in Swedish Crowns and then converted into US $ using the purchasing power parities of the OECD for the reference year 2008 [24]. The direct medical costs associated with the intervention were mainly driven by the costs of therapists. In this study, the therapists were graduate psychology students under supervision, but in the analysis we used the full economic cost price of a licensed clinical psychologist. The time the therapist spent on treating the participants was registered and multiplied by this cost. We also estimated the costs of the participants' time, again at $13.17/hour, thus equating it with domestic help and assuming that people engaged in the intervention after office hours. The cost estimations of the control group were based on the time spent on the internet discussion forum. The cost estimations in the treatment group were based on the self-reported time the participants spent reading the treatment material and performing homework exercises plus the time spent on the discussion forum, Analysis The analysis was conducted in accordance with the intention to treat principle, which means that all participants were included in analysis regardless of adherence to treatment. Missing data were imputed using the last observation carried forward method. The statistical analysis was conducted in four steps using STATA IC/11.0 (Stata Corp). First, the cost differences between the treatment and control groups were estimated at pre-treatment and post-treatment. All costs were extrapolated to a 12-month period. Since the cost data were assumed to be non-normally distributed, p-values were estimated using a general linear model while employing non-parametric bootstrap analysis (5,000 replications). Such analyses are considered to generate robust estimates of standard errors of the costs [25]. Secondly, we compared the counts of clinically significant improvements across the conditions. Using a Poisson regression framework allowed us to test if the rate of favorable treatment responses in the experimental condition was higher than 1 relative to the control condition. The number needed treat (NNT) was computed as the inverse of the risk difference, which was obtained under a linear probability model [26]. Thirdly, the incremental cost-effectiveness ratio (ICER) was estimated. We computed pre-post differences in costs and effects. We then computed differences in costs and effects between both conditions taking the cost difference over the effect difference: (C(exp) - C(ctr))/(E(exp) - E(ctr)). C is the difference of the costs of IBS and the intervention between the pre and post assessments. E refers to the treatment response between both conditions [22]. This calculation was repeated 5,000 times (for each bootstrap sample) generating a scatter of simulated ICERs across the ICER plane (see Figure 2). Cost-effectiveness plane. (no figure legend). Fourthly, the robustness of the results was tested in four different sensitivity analyses. First, the main analysis was repeated with only the direct medical costs included, hence narrowing the economic evaluation to a health service perspective. Second, the total costs were calculated with the unemployment costs excluded. This was done because the costs due to productivity losses from unemployment are large when accumulated over a 12-month period and could (in spite of randomization) be affected by factors not associated with IBS. Third, the missing data were reanalyzed using linear regression imputation as implemented in STATA. This was done to test whether last observation carried forward was indeed a more conservative imputation method. Fourth, we investigated the long-term impact on the ICER using 3-month and 1-year follow-up economic data. Since the control group was crossed over to treatment there was no comparison group at the follow-up assessment. The 3-month and 1 year follow-up of the treatment group data were therefore compared with the post-treatment data of the control group, thus assuming that the control group would have been unchanged if had been untreated during the follow-up periods. This was done to test whether the extrapolation to a 12-month period was a reliable analysis procedure. Lastly, since the control group was crossed over to treatment and also participated in the follow-up, the long-term costs were calculated separately for that group. The analysis was conducted in accordance with the intention to treat principle, which means that all participants were included in analysis regardless of adherence to treatment. Missing data were imputed using the last observation carried forward method. The statistical analysis was conducted in four steps using STATA IC/11.0 (Stata Corp). First, the cost differences between the treatment and control groups were estimated at pre-treatment and post-treatment. All costs were extrapolated to a 12-month period. Since the cost data were assumed to be non-normally distributed, p-values were estimated using a general linear model while employing non-parametric bootstrap analysis (5,000 replications). Such analyses are considered to generate robust estimates of standard errors of the costs [25]. Secondly, we compared the counts of clinically significant improvements across the conditions. Using a Poisson regression framework allowed us to test if the rate of favorable treatment responses in the experimental condition was higher than 1 relative to the control condition. The number needed treat (NNT) was computed as the inverse of the risk difference, which was obtained under a linear probability model [26]. Thirdly, the incremental cost-effectiveness ratio (ICER) was estimated. We computed pre-post differences in costs and effects. We then computed differences in costs and effects between both conditions taking the cost difference over the effect difference: (C(exp) - C(ctr))/(E(exp) - E(ctr)). C is the difference of the costs of IBS and the intervention between the pre and post assessments. E refers to the treatment response between both conditions [22]. This calculation was repeated 5,000 times (for each bootstrap sample) generating a scatter of simulated ICERs across the ICER plane (see Figure 2). Cost-effectiveness plane. (no figure legend). Fourthly, the robustness of the results was tested in four different sensitivity analyses. First, the main analysis was repeated with only the direct medical costs included, hence narrowing the economic evaluation to a health service perspective. Second, the total costs were calculated with the unemployment costs excluded. This was done because the costs due to productivity losses from unemployment are large when accumulated over a 12-month period and could (in spite of randomization) be affected by factors not associated with IBS. Third, the missing data were reanalyzed using linear regression imputation as implemented in STATA. This was done to test whether last observation carried forward was indeed a more conservative imputation method. Fourth, we investigated the long-term impact on the ICER using 3-month and 1-year follow-up economic data. Since the control group was crossed over to treatment there was no comparison group at the follow-up assessment. The 3-month and 1 year follow-up of the treatment group data were therefore compared with the post-treatment data of the control group, thus assuming that the control group would have been unchanged if had been untreated during the follow-up periods. This was done to test whether the extrapolation to a 12-month period was a reliable analysis procedure. Lastly, since the control group was crossed over to treatment and also participated in the follow-up, the long-term costs were calculated separately for that group. Sample: Participants were eligible for the study if they had been diagnosed with IBS by a physician before applying for the study and if they presently fulfilled the Rome III criteria for IBS [13]. The Montgomery Åsberg Depression Rating Scale - Self report [MADRS-S; [14]] was used to exclude participants, fulfilling criteria for suicide ideation (item 9 ≥ 4), and severe depressive symptoms(total score ≥ 30). Participants fulfilling criteria for substance dependence according to Alcohol Use Disorders Identification Test [AUDIT; [15]] or Drug Use Disorders Identification Test [DUDIT; [16]] and participants suffering from psychosis, manic episode, or anorexia were also excluded. Procedure Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1. Flowchart of study participants. (no figure legend). Demographics The study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment. The study protocol was approved by the regional ethics committee in Stockholm, Sweden. Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1. Flowchart of study participants. (no figure legend). Demographics The study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment. The study protocol was approved by the regional ethics committee in Stockholm, Sweden. Procedure: Figure 1 displays participant flow through the selection procedure, randomization and assessments. The participants were recruited through self-referral from the general adult population in Sweden. A total of 193 individuals applied for the study, 98 were interviewed and 86 were included for randomization. Telephone interviews were conducted by graduate psychology students or psychologists and included structured questions about Rome III-criteria and also the Mini-International Neuropsychiatric Interview [MINI; [17]] to assess any psychiatric co-morbidity that could be cause for exclusion. All interviews were reviewed by the study's gastroenterologist who made the final decision if a participant should be included in the study. After having been randomized to the treatment condition one participant underwent a colostomy and was subsequently excluded from the study and all further data analysis. Demographics for the study participants are displayed in Table 1. Flowchart of study participants. (no figure legend). Demographics The study included pre- and post-treatment assessments for the treatment condition. Follow-up data were collected at 3-month follow-up for the treatment condition. After ten weeks, the participants in the control condition were crossed over to the active treatment. Follow-up data were also collected for all participants in the study approximately one year (15 to 18 months) after receiving the treatment. The study protocol was approved by the regional ethics committee in Stockholm, Sweden. Interventions: The experimental group was given a ten-week internet-delivered cognitive behavioral treatment with therapist support via e-mail. The mean therapist time spent on each participant was 165 minutes (SD = 85 min). The treatment consisted of graded exposure to IBS-symptoms and mindfulness exercises. The treatment protocol is further described in Ljótsson et al. [18] and Ljótsson et al. [8]. Participants in the control group took part in a discussion forum and could contact a therapist for general support if they wished (mean therapist time was 10 minutes, SD = 23). Clinical outcome: The primary outcome was the Gastrointestinal Symptom rating scale-IBS version (GSRS-IBS) [19]. A clinically significant improvement was defined as a 50% reduction of GSRS-IBS score [20]. Cost assessment: Cost data were obtained with the Trimbos and Institute of Medical Technology Assessment Cost Questionnaire for Psychiatry (TIC-P) [21]. In this questionnaire, participants report their health care consumption during the last month (e.g. GP visits), as well as time spent in informal health enhancing activities (e.g. self-help groups and informal care from friends). Participants also report their level of sick leave and reduced work capacity both at work and in the domestic realm and unemployment status during the last month. These self-reports were used to estimate the costs of each participant's health care consumption, work loss, and work cutback. Medication costs were based on the free market price in Sweden. Costs from health service visits were estimated using established tariffs in Sweden. The human capital approach was used for valuation of the productivity losses, which means that monetary losses associated with work loss and work cutback were based on the participants' gross earning for the full length of their sick leave [22]. Gross earnings were estimated using the average salary in Sweden by education level. Domestic losses were estimated at $ 13.17 per hour, reflecting the free market price of domestic help [23]. The costs were originally computed in Swedish Crowns and then converted into US $ using the purchasing power parities of the OECD for the reference year 2008 [24]. The direct medical costs associated with the intervention were mainly driven by the costs of therapists. In this study, the therapists were graduate psychology students under supervision, but in the analysis we used the full economic cost price of a licensed clinical psychologist. The time the therapist spent on treating the participants was registered and multiplied by this cost. We also estimated the costs of the participants' time, again at $13.17/hour, thus equating it with domestic help and assuming that people engaged in the intervention after office hours. The cost estimations of the control group were based on the time spent on the internet discussion forum. The cost estimations in the treatment group were based on the self-reported time the participants spent reading the treatment material and performing homework exercises plus the time spent on the discussion forum, Analysis: The analysis was conducted in accordance with the intention to treat principle, which means that all participants were included in analysis regardless of adherence to treatment. Missing data were imputed using the last observation carried forward method. The statistical analysis was conducted in four steps using STATA IC/11.0 (Stata Corp). First, the cost differences between the treatment and control groups were estimated at pre-treatment and post-treatment. All costs were extrapolated to a 12-month period. Since the cost data were assumed to be non-normally distributed, p-values were estimated using a general linear model while employing non-parametric bootstrap analysis (5,000 replications). Such analyses are considered to generate robust estimates of standard errors of the costs [25]. Secondly, we compared the counts of clinically significant improvements across the conditions. Using a Poisson regression framework allowed us to test if the rate of favorable treatment responses in the experimental condition was higher than 1 relative to the control condition. The number needed treat (NNT) was computed as the inverse of the risk difference, which was obtained under a linear probability model [26]. Thirdly, the incremental cost-effectiveness ratio (ICER) was estimated. We computed pre-post differences in costs and effects. We then computed differences in costs and effects between both conditions taking the cost difference over the effect difference: (C(exp) - C(ctr))/(E(exp) - E(ctr)). C is the difference of the costs of IBS and the intervention between the pre and post assessments. E refers to the treatment response between both conditions [22]. This calculation was repeated 5,000 times (for each bootstrap sample) generating a scatter of simulated ICERs across the ICER plane (see Figure 2). Cost-effectiveness plane. (no figure legend). Fourthly, the robustness of the results was tested in four different sensitivity analyses. First, the main analysis was repeated with only the direct medical costs included, hence narrowing the economic evaluation to a health service perspective. Second, the total costs were calculated with the unemployment costs excluded. This was done because the costs due to productivity losses from unemployment are large when accumulated over a 12-month period and could (in spite of randomization) be affected by factors not associated with IBS. Third, the missing data were reanalyzed using linear regression imputation as implemented in STATA. This was done to test whether last observation carried forward was indeed a more conservative imputation method. Fourth, we investigated the long-term impact on the ICER using 3-month and 1-year follow-up economic data. Since the control group was crossed over to treatment there was no comparison group at the follow-up assessment. The 3-month and 1 year follow-up of the treatment group data were therefore compared with the post-treatment data of the control group, thus assuming that the control group would have been unchanged if had been untreated during the follow-up periods. This was done to test whether the extrapolation to a 12-month period was a reliable analysis procedure. Lastly, since the control group was crossed over to treatment and also participated in the follow-up, the long-term costs were calculated separately for that group. Results: Costs Table 2 presents the annual per capita costs of IBS at pre-treatment and post-treatment assessment for both treatment and control groups and 3-month and 1 year follow-up for the treatment group. At post treatment, we found significant cost differences regarding the gross total monetary change, Z = -2.06, P < 0.05, as well as the indirect non-medical costs, Z = -2.20, P < 0.05. Mean annual costs Table 2 presents the annual per capita costs of IBS at pre-treatment and post-treatment assessment for both treatment and control groups and 3-month and 1 year follow-up for the treatment group. At post treatment, we found significant cost differences regarding the gross total monetary change, Z = -2.06, P < 0.05, as well as the indirect non-medical costs, Z = -2.20, P < 0.05. Mean annual costs Treatment efficacy The fraction of recovered participants in the intervention condition at post treatment was 15/42 = 0.36 and 1/43 = 0.02 in the control condition. Hence, the likelihood ratio for a favorable treatment response was 0.36/0.02 = 15.36, representing a 15-fold increase of the recovery rate in the intervention relative to the control condition (95% confidence interval 2.1 to 111.1). This was statistically significant, Z= 2.64, P < 0.01. The NNT to generate one clinically significant improvement was 2.99 (95%CI 2 to 5), which means that three patients need to receive the intervention to generate one clinically significant improvement. At the 3-month follow-up, the fraction of recovered participants in the CBT condition was 14/42 = 0.33, and at one-year follow-up this figure was 18/42 = 0.43. In sum, the effects appear to be sustained over a 12-month period. The fraction of recovered participants in the intervention condition at post treatment was 15/42 = 0.36 and 1/43 = 0.02 in the control condition. Hence, the likelihood ratio for a favorable treatment response was 0.36/0.02 = 15.36, representing a 15-fold increase of the recovery rate in the intervention relative to the control condition (95% confidence interval 2.1 to 111.1). This was statistically significant, Z= 2.64, P < 0.01. The NNT to generate one clinically significant improvement was 2.99 (95%CI 2 to 5), which means that three patients need to receive the intervention to generate one clinically significant improvement. At the 3-month follow-up, the fraction of recovered participants in the CBT condition was 14/42 = 0.33, and at one-year follow-up this figure was 18/42 = 0.43. In sum, the effects appear to be sustained over a 12-month period. Cost effectiveness The cost change for the treatment group was 16,988 - 20,867 = -3879. The cost change in the control group was 16,872 - 15,036 = 1835. The incremental cost effectiveness ratio (ICER) was (-3879 - 1835)/(0.36 - 0.02) = -16,806. This means that each significant clinical improvement in IBS is associated with a societal cost-reduction of $16,806. Figure 2 presents the scatter of simulated ICERs across the four quadrants of the ICER plane. If the bulk of simulated ICERs appear in the southeast quadrant of the figure, lower costs are associated with a health gain. From a cost-effectiveness perspective, this is the most favorable outcome. If a majority of the simulated ICERs appear in the northwest quadrant, higher costs are associated with a lowered effectiveness, thus making the new intervention unacceptable from a cost-effectiveness perspective. Nearly all simulated ICERs (96%) were located in the southeast quadrant, indicating that the treatment produced beneficial effects and reduces costs for society compared to a no treatment control condition. The cost change for the treatment group was 16,988 - 20,867 = -3879. The cost change in the control group was 16,872 - 15,036 = 1835. The incremental cost effectiveness ratio (ICER) was (-3879 - 1835)/(0.36 - 0.02) = -16,806. This means that each significant clinical improvement in IBS is associated with a societal cost-reduction of $16,806. Figure 2 presents the scatter of simulated ICERs across the four quadrants of the ICER plane. If the bulk of simulated ICERs appear in the southeast quadrant of the figure, lower costs are associated with a health gain. From a cost-effectiveness perspective, this is the most favorable outcome. If a majority of the simulated ICERs appear in the northwest quadrant, higher costs are associated with a lowered effectiveness, thus making the new intervention unacceptable from a cost-effectiveness perspective. Nearly all simulated ICERs (96%) were located in the southeast quadrant, indicating that the treatment produced beneficial effects and reduces costs for society compared to a no treatment control condition. Sensitivity analyses When only including direct medical costs in the estimation, 48% of the simulated ICERs were located in the southeast quadrant. When analyzing all data but excluding the unemployment variable, 41% of the dots were located in the southeast quadrant. Data were reanalyzed using regression imputation of missing data instead of last observation carried forward (4 imputations, R-square = 0.93). A majority (98%) of the simulated ICERs were still located in the southeast quadrant, attesting to the robustness of our findings. Finally in order to investigate the long-term impact, we repeated the analyses with follow-up economic data for the treatment group. Using 3-month and 1-year follow-up data, 97% and 89% of the dots were located in the southeast quadrant, respectively. When only including direct medical costs in the estimation, 48% of the simulated ICERs were located in the southeast quadrant. When analyzing all data but excluding the unemployment variable, 41% of the dots were located in the southeast quadrant. Data were reanalyzed using regression imputation of missing data instead of last observation carried forward (4 imputations, R-square = 0.93). A majority (98%) of the simulated ICERs were still located in the southeast quadrant, attesting to the robustness of our findings. Finally in order to investigate the long-term impact, we repeated the analyses with follow-up economic data for the treatment group. Using 3-month and 1-year follow-up data, 97% and 89% of the dots were located in the southeast quadrant, respectively. The control group at follow up After the post-treatment the control group was crossed over to treatment. At the 1 year follow-up the group also presented with cost reductions (pre treatment; $15,036, follow-up; $13,008). Additionally 19/43 of the control group participants reported clinically significant symptom relief. After the post-treatment the control group was crossed over to treatment. At the 1 year follow-up the group also presented with cost reductions (pre treatment; $15,036, follow-up; $13,008). Additionally 19/43 of the control group participants reported clinically significant symptom relief. Costs: Table 2 presents the annual per capita costs of IBS at pre-treatment and post-treatment assessment for both treatment and control groups and 3-month and 1 year follow-up for the treatment group. At post treatment, we found significant cost differences regarding the gross total monetary change, Z = -2.06, P < 0.05, as well as the indirect non-medical costs, Z = -2.20, P < 0.05. Mean annual costs Treatment efficacy: The fraction of recovered participants in the intervention condition at post treatment was 15/42 = 0.36 and 1/43 = 0.02 in the control condition. Hence, the likelihood ratio for a favorable treatment response was 0.36/0.02 = 15.36, representing a 15-fold increase of the recovery rate in the intervention relative to the control condition (95% confidence interval 2.1 to 111.1). This was statistically significant, Z= 2.64, P < 0.01. The NNT to generate one clinically significant improvement was 2.99 (95%CI 2 to 5), which means that three patients need to receive the intervention to generate one clinically significant improvement. At the 3-month follow-up, the fraction of recovered participants in the CBT condition was 14/42 = 0.33, and at one-year follow-up this figure was 18/42 = 0.43. In sum, the effects appear to be sustained over a 12-month period. Cost effectiveness: The cost change for the treatment group was 16,988 - 20,867 = -3879. The cost change in the control group was 16,872 - 15,036 = 1835. The incremental cost effectiveness ratio (ICER) was (-3879 - 1835)/(0.36 - 0.02) = -16,806. This means that each significant clinical improvement in IBS is associated with a societal cost-reduction of $16,806. Figure 2 presents the scatter of simulated ICERs across the four quadrants of the ICER plane. If the bulk of simulated ICERs appear in the southeast quadrant of the figure, lower costs are associated with a health gain. From a cost-effectiveness perspective, this is the most favorable outcome. If a majority of the simulated ICERs appear in the northwest quadrant, higher costs are associated with a lowered effectiveness, thus making the new intervention unacceptable from a cost-effectiveness perspective. Nearly all simulated ICERs (96%) were located in the southeast quadrant, indicating that the treatment produced beneficial effects and reduces costs for society compared to a no treatment control condition. Sensitivity analyses: When only including direct medical costs in the estimation, 48% of the simulated ICERs were located in the southeast quadrant. When analyzing all data but excluding the unemployment variable, 41% of the dots were located in the southeast quadrant. Data were reanalyzed using regression imputation of missing data instead of last observation carried forward (4 imputations, R-square = 0.93). A majority (98%) of the simulated ICERs were still located in the southeast quadrant, attesting to the robustness of our findings. Finally in order to investigate the long-term impact, we repeated the analyses with follow-up economic data for the treatment group. Using 3-month and 1-year follow-up data, 97% and 89% of the dots were located in the southeast quadrant, respectively. The control group at follow up: After the post-treatment the control group was crossed over to treatment. At the 1 year follow-up the group also presented with cost reductions (pre treatment; $15,036, follow-up; $13,008). Additionally 19/43 of the control group participants reported clinically significant symptom relief. Discussion: The aim of this study was to determine whether internet-delivered CBT would be a cost-effective or perhaps even a cost-saving intervention for IBS. The results give preliminary evidence of the internet-delivered treatment as a cost-effective way of offering treatment; better still, our observations suggest that the intervention is cost saving from a societal point of view. Participants in the treatment condition demonstrated significant reductions in IBS symptoms compared to the control condition. These improvements were accompanied by cost reductions at post-treatment and at follow-up. While the intervention did introduce some costs of its own, these costs were offset by greater productivity levels both at paid work and in the domestic realm. Thirty-six percent of the participants in the treatment condition were clinically improved and for each case of clinical improvement in IBS symptoms $16,806 of societal costs were saved. Irrespective of modeled scenario and choice of imputation method the online CBT intervention was associated with cost offsets, demonstrating robustness of our findings. The control group showed similar improvements and cost-savings after being crossed over to treatment. The results from this trial differ from the McCrone et al. [7] and Creed et al. [6] studies. In the Creed et al. study, significant reductions in health care costs were found at the one-year follow-up but no significant reductions in work loss for the psychotherapy group. One possible explanation for this difference could be that this study used a broader perspective including both work cutback as well as domestic loss in the cost-effectiveness analysis. In the McCrone et al. study, the CBT group did not show any significant reductions in work loss and the treatment was not cost-effective beyond 3-month follow-up. In the original treatment study that the McCrone et al. report was based on, the participants' improvements in symptom actually declined after the 3-month follow-up [27]. In contrast, the participants in our study demonstrated long-term maintenance of symptom reduction that could explain the long-term cost effectiveness. By and large, the results from this study provide additional evidence for internet-delivered CBT as a cost-effective treatment alternative for IBS. Our study has several limitations. First, the cost data was collected using self-reports and the accuracy of this methodology can be open-to-question. However, the recall period was relatively short (4 weeks) and there is no reason to assume that inaccuracies overly bias any of the two treatment conditions. In addition, previous research studies have indicated that self-reports are as reliable as administratively recorded data [28]. The TIC-P has been used in numerous studies [29-31] and has the advantage of being a broad measure covering health care uptake and productivity losses both in paid work as well as in the domestic realm. Therefore, the self-report methodology could be regarded as a feasible choice of measurement. Secondly, the use of 50% decline in IBS symptoms measured as criterion for clinically significant improvement might be inappropriate. This criterion has been used in several trials [20] of psychological treatment but other measures of clinically significant improvement have been proposed. The participants' subjective experience of "adequate relief" [32] has been used in both pharmacological [33] and psychological trials [9]. A 50 point reduction in score on the IBS-SSS [34] has also been used as clinically significant improvement in symptoms. These differences in determining a clinically significant outcome are problematic as they make it difficult to compare trials and treatments. It would therefore have been preferable if at least one of the adequate relief and IBS-SSS measures had been included in this study. Thirdly, the control condition participants were randomized to a waiting list and were therefore aware that they would eventually receive the treatment. This factor could possibly have an impact on the cost-effectiveness results since the study design did not allow control for attention and expectancy of improvement. A proper attention control condition would have provided a more reliable estimate the cost-effectiveness of the specific treatment used. Fourthly, the calculations are based on internet CBT in a research setting and the real market price of such interventions is still unknown. Fifth, we did not directly ask the participants about their gross earning but instead used the average Swedish salary based on the participant's education level. This lack of information could possible produce errors in the mean cost calculations regarding production losses. However, the participants were randomized and potential errors should not affect the between group ICER estimations. Finally, as the control group was crossed over to treatment no comparison group was available at the 3-month and 1 year follow-up. The short experimental time period makes the extrapolated estimates of long-term cost-effectiveness somewhat less reliable. However, when repeating the analyses with 3-month and 1 year follow-up clinical data, the scatter of the simulated ICERs over the cost-effectiveness plane did not differ in any substantial way and would not change our conclusions. Conclusions: To summarize, the findings from this study indicate that internet-delivered CBT for IBS can both be effective in treating IBS and generate cost savings for the society. Future evaluations should continue to investigate the cost-effectiveness as well as look more closely at the economic ramifications with regard to favorable treatment response. More research is also needed to expand our knowledge concerning the economic impact of internet-delivered CBT for IBS. We recommend that future studies use a more potent placebo condition and longer follow-up periods.
Background: Irritable Bowel Syndrome (IBS) is highly prevalent and is associated with a substantial economic burden. Cognitive behavior therapy (CBT) has been shown to be effective in treating IBS. The aim of this study was to evaluate the cost-effectiveness of a new treatment alternative, internet-delivered CBT based on exposure and mindfulness exercises. Methods: Participants (N = 85) with IBS were recruited through self-referral and were assessed via a telephone interview and self-report measures on the internet. Participants were randomized to internet-delivered CBT or to a discussion forum. Economic data was assessed at pre-, post- and at 3-month and 1 year follow-up. Results: Significant cost reductions were found for the treatment group at $16,806 per successfully treated case. The cost reductions were mainly driven by reduced work loss in the treatment group. Results were sustained at 3-month and 1 year follow-up. Conclusions: Internet-delivered CBT appears to generate health gains in IBS treatment and is associated with cost-savings from a societal perspective.
Background: Irritable bowel syndrome (IBS) is a highly prevalent gastrointestinal disorder [1] that is associated with production losses [2,3] and increased levels of health service utilization [3,4]. The high prevalence rate combined with the costs associated for each afflicted individual makes IBS a considerable economic burden for society. Research indicates that psychological interventions - such as cognitive behavior therapy (CBT), hypnotherapy and psychodynamic therapy - can be effective in reducing IBS symptoms [5]. In addition, there is some evidence indicating that psychological treatments are cost-effective. In a study by Creed et al. [6], 171 patients with IBS were randomized to receive either 8 sessions of individual psychodynamic therapy, paroxetine, or care as usual. At one-year follow-up, the psychotherapy condition was associated with significant reductions in health care consumption when compared to care as usual, whereas the paroxetine group did not show a similar reduction. In a study by McCrone et al. [7], CBT was found to have a reasonable short-term cost-effectiveness but not beyond 3-month follow-up. In summary, although psychological treatments are effective in reducing IBS symptoms there is insufficient evidence of their cost-effectiveness. Our research group has recently conducted a randomized controlled trial of internet-delivered CBT for IBS [8]. The main reason for using the internet as method of delivery is to increase the availability of the treatment. Evidence-based psychological treatments are often unavailable due to a lack of properly trained therapists [9]. Internet-delivered CBT with minimal therapist contact has been found to be effective for a number of psychiatric and somatic problems [10,11], and are likely to be cost-effective and more accessible to patients [12]. However, there is little evidence regarding the economic aspects of internet-delivered CBT. Conclusions: The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2458/11/215/prepub
Background: Irritable Bowel Syndrome (IBS) is highly prevalent and is associated with a substantial economic burden. Cognitive behavior therapy (CBT) has been shown to be effective in treating IBS. The aim of this study was to evaluate the cost-effectiveness of a new treatment alternative, internet-delivered CBT based on exposure and mindfulness exercises. Methods: Participants (N = 85) with IBS were recruited through self-referral and were assessed via a telephone interview and self-report measures on the internet. Participants were randomized to internet-delivered CBT or to a discussion forum. Economic data was assessed at pre-, post- and at 3-month and 1 year follow-up. Results: Significant cost reductions were found for the treatment group at $16,806 per successfully treated case. The cost reductions were mainly driven by reduced work loss in the treatment group. Results were sustained at 3-month and 1 year follow-up. Conclusions: Internet-delivered CBT appears to generate health gains in IBS treatment and is associated with cost-savings from a societal perspective.
9,365
212
[ 355, 667, 267, 113, 41, 416, 624, 1340, 86, 168, 193, 153, 56, 973, 97 ]
16
[ "treatment", "participants", "study", "cost", "costs", "follow", "group", "control", "data", "condition" ]
[ "cbt ibs effective", "reducing ibs symptoms", "treatment alternative ibs", "intervention ibs results", "costs ibs intervention" ]
null
[CONTENT] Cognitive behavior therapy | internet | IBS | cost-effectiveness analysis [SUMMARY]
[CONTENT] Cognitive behavior therapy | internet | IBS | cost-effectiveness analysis [SUMMARY]
null
[CONTENT] Cognitive behavior therapy | internet | IBS | cost-effectiveness analysis [SUMMARY]
[CONTENT] Cognitive behavior therapy | internet | IBS | cost-effectiveness analysis [SUMMARY]
[CONTENT] Cognitive behavior therapy | internet | IBS | cost-effectiveness analysis [SUMMARY]
[CONTENT] Adult | Cognitive Behavioral Therapy | Cost of Illness | Cost-Benefit Analysis | Employment | Female | Follow-Up Studies | Humans | Internet | Irritable Bowel Syndrome | Male | Middle Aged | Treatment Outcome | Young Adult [SUMMARY]
[CONTENT] Adult | Cognitive Behavioral Therapy | Cost of Illness | Cost-Benefit Analysis | Employment | Female | Follow-Up Studies | Humans | Internet | Irritable Bowel Syndrome | Male | Middle Aged | Treatment Outcome | Young Adult [SUMMARY]
null
[CONTENT] Adult | Cognitive Behavioral Therapy | Cost of Illness | Cost-Benefit Analysis | Employment | Female | Follow-Up Studies | Humans | Internet | Irritable Bowel Syndrome | Male | Middle Aged | Treatment Outcome | Young Adult [SUMMARY]
[CONTENT] Adult | Cognitive Behavioral Therapy | Cost of Illness | Cost-Benefit Analysis | Employment | Female | Follow-Up Studies | Humans | Internet | Irritable Bowel Syndrome | Male | Middle Aged | Treatment Outcome | Young Adult [SUMMARY]
[CONTENT] Adult | Cognitive Behavioral Therapy | Cost of Illness | Cost-Benefit Analysis | Employment | Female | Follow-Up Studies | Humans | Internet | Irritable Bowel Syndrome | Male | Middle Aged | Treatment Outcome | Young Adult [SUMMARY]
[CONTENT] cbt ibs effective | reducing ibs symptoms | treatment alternative ibs | intervention ibs results | costs ibs intervention [SUMMARY]
[CONTENT] cbt ibs effective | reducing ibs symptoms | treatment alternative ibs | intervention ibs results | costs ibs intervention [SUMMARY]
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[CONTENT] cbt ibs effective | reducing ibs symptoms | treatment alternative ibs | intervention ibs results | costs ibs intervention [SUMMARY]
[CONTENT] cbt ibs effective | reducing ibs symptoms | treatment alternative ibs | intervention ibs results | costs ibs intervention [SUMMARY]
[CONTENT] cbt ibs effective | reducing ibs symptoms | treatment alternative ibs | intervention ibs results | costs ibs intervention [SUMMARY]
[CONTENT] treatment | participants | study | cost | costs | follow | group | control | data | condition [SUMMARY]
[CONTENT] treatment | participants | study | cost | costs | follow | group | control | data | condition [SUMMARY]
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[CONTENT] treatment | participants | study | cost | costs | follow | group | control | data | condition [SUMMARY]
[CONTENT] treatment | participants | study | cost | costs | follow | group | control | data | condition [SUMMARY]
[CONTENT] treatment | participants | study | cost | costs | follow | group | control | data | condition [SUMMARY]
[CONTENT] effective | psychological | evidence | cbt | psychological treatments | therapy | treatments | ibs | internet | delivered cbt [SUMMARY]
[CONTENT] study | participants | treatment | costs | data | included | analysis | time | estimated | cost [SUMMARY]
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[CONTENT] future | delivered cbt ibs | internet delivered cbt ibs | cbt ibs | internet delivered cbt | delivered cbt | internet delivered | cbt | delivered | ibs [SUMMARY]
[CONTENT] treatment | study | cost | costs | participants | group | follow | data | ibs | control [SUMMARY]
[CONTENT] treatment | study | cost | costs | participants | group | follow | data | ibs | control [SUMMARY]
[CONTENT] ||| CBT | IBS ||| CBT [SUMMARY]
[CONTENT] 85 | IBS ||| CBT ||| 3-month | 1 year [SUMMARY]
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[CONTENT] CBT | IBS [SUMMARY]
[CONTENT] ||| CBT | IBS ||| CBT ||| 85 | IBS ||| CBT ||| 3-month | 1 year ||| ||| 16,806 ||| ||| 3-month | 1 year ||| CBT | IBS [SUMMARY]
[CONTENT] ||| CBT | IBS ||| CBT ||| 85 | IBS ||| CBT ||| 3-month | 1 year ||| ||| 16,806 ||| ||| 3-month | 1 year ||| CBT | IBS [SUMMARY]
Long-term perceived disabilities up to 10 years after transient ischaemic attack.
33656562
The long-term impact of transient ischaemic attack is largely unknown.
BACKGROUND
A retrospective study among adult community-dwelling individuals from 6 months up to 10 years after onset of transient ischaemic attack. A total of 299 survivors of transient ischaemic attack responded to the SIS.
METHODS
Most self-reported disabilities involved emotion, strength, and participation domains of SIS and remained stable until 10 years post-transient ischaemic attack. Women reported significantly more disabilities for emotion and hand function. Elderly subjects (age > 65 years) reported more disabilities for strength, mobility, hand function, activities of daily living/instrumental activities of daily living, and participation. The activities of daily living/instrumental activities of daily living, participation, and overall recovery demonstrated significant, although low-to-moderate, associations with other SIS domains after transient ischaemic attack.
RESULTS
The broadly perceived disabilities were demonstrated consistently and played a significant meaningful role in everyday life and recovery among community-dwelling individuals up to 10 years after a transient ischaemic attack. These findings indicate the need for long-term multi-professional follow-up with holistic rehabilitation to improve overall recovery among survivors of transient ischaemic attack.
CONCLUSION
[ "Activities of Daily Living", "Aged", "Disabled Persons", "Female", "Humans", "Ischemic Attack, Transient", "Male", "Retrospective Studies", "Time Factors" ]
8814880
null
null
METHODS
Ethics Ethics approval was obtained from the regional Ethical Review Board in Umea, Sweden (Dnr 2016-355-32M). Written consent was obtained from all participants prior to inclusion in the study. Ethics approval was obtained from the regional Ethical Review Board in Umea, Sweden (Dnr 2016-355-32M). Written consent was obtained from all participants prior to inclusion in the study. Study design and participants This retrospective study included only individuals after their first-ever TIA. The study was conducted at the Department of Neurological Rehabilitation, University Hospital of Umeå, Sweden. All patients, 18 years or older, admitted to the Stroke Centre, University Hospital of Umeå, Sweden, between 2008 and 2018, and diagnosed with a TIA, were assessed for study eligibility. Exclusion criteria were: (i) recurrence of TIA, early stroke/TIA, or stroke after TIA; (ii) brain tumour, epilepsy, or sinus thrombus; (iii) death; and (iv) inability or unwillingness to provide written consent or answer the questionnaires. This retrospective study included only individuals after their first-ever TIA. The study was conducted at the Department of Neurological Rehabilitation, University Hospital of Umeå, Sweden. All patients, 18 years or older, admitted to the Stroke Centre, University Hospital of Umeå, Sweden, between 2008 and 2018, and diagnosed with a TIA, were assessed for study eligibility. Exclusion criteria were: (i) recurrence of TIA, early stroke/TIA, or stroke after TIA; (ii) brain tumour, epilepsy, or sinus thrombus; (iii) death; and (iv) inability or unwillingness to provide written consent or answer the questionnaires. Data collection and questionnaires The questionnaires, information about the study, and written consent were sent to all eligible participants who were 6 months to 10 years after TIA onset during the autumn of 2018. The questionnaires and signed consent were returned before the end of 2018. In cases of missing data, complementary information was collected through phone calls with patients. However, the questionnaires were re-sent to a participant if a large amount of data was missing. All participants provided written informed consent to participate in the study. Demographic data that included age, sex, and co-morbidities were obtained from patient records. The questionnaires, information about the study, and written consent were sent to all eligible participants who were 6 months to 10 years after TIA onset during the autumn of 2018. The questionnaires and signed consent were returned before the end of 2018. In cases of missing data, complementary information was collected through phone calls with patients. However, the questionnaires were re-sent to a participant if a large amount of data was missing. All participants provided written informed consent to participate in the study. Demographic data that included age, sex, and co-morbidities were obtained from patient records. Modified Rankin Scale questionnaire The Modified Rankin Scale questionnaire (mRSq) is a standardized, pragmatic, validated tool to help reliably score a person’s disability (19, 20). Five questions are answered “yes” or “no” by the patient. A scale rating from 0 (no symptoms) to 5 (total physical dependence) is then rated by following the mRSq flowchart. mRSq scores ≤ 2 are considered to represent total independence (19). The Modified Rankin Scale questionnaire (mRSq) is a standardized, pragmatic, validated tool to help reliably score a person’s disability (19, 20). Five questions are answered “yes” or “no” by the patient. A scale rating from 0 (no symptoms) to 5 (total physical dependence) is then rated by following the mRSq flowchart. mRSq scores ≤ 2 are considered to represent total independence (19). Stroke Impact Scale 3.0 The Stroke Impact Scale 3.0 (SIS) comprises 59 questions representing 8 domains: strength, memory and thinking, emotions, communication, mobility, hand function, ADL/IADL, and social participation (8). Each question is answered using the Likert scale, ranging from 1 to 5 (8, 21), with higher scores indicating better outcomes. For the strength domain, the ratings range from “no strength at all” to “a lot of strength;” for emotions and participation, choices range from “none of the time” to “all of the time;” for the remaining domains, the ratings range from “extremely difficult/cannot do at all” to “not difficult at all” (9). Also, the SIS includes a visual analogue scale, where 0 represents no perceived stroke recovery and 100 represents full recovery (8). Scores < 100 were defined as not fully recovered from the TIA. The Stroke Impact Scale 3.0 (SIS) comprises 59 questions representing 8 domains: strength, memory and thinking, emotions, communication, mobility, hand function, ADL/IADL, and social participation (8). Each question is answered using the Likert scale, ranging from 1 to 5 (8, 21), with higher scores indicating better outcomes. For the strength domain, the ratings range from “no strength at all” to “a lot of strength;” for emotions and participation, choices range from “none of the time” to “all of the time;” for the remaining domains, the ratings range from “extremely difficult/cannot do at all” to “not difficult at all” (9). Also, the SIS includes a visual analogue scale, where 0 represents no perceived stroke recovery and 100 represents full recovery (8). Scores < 100 were defined as not fully recovered from the TIA. Data presentation and statistics All data processing was conducted blinded. The data were inclusive from 6 months to 10 years after onset of TIA. To increase the statistical power for comparing SIS domain differences over time, participants were divided into 3 groups: < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA. The no-limitation percentages were calculated based on the number of full-recovery participants (SIS scores of 100) divided by the total number of participants. Age > 65 years was defined as “old,” and ≤ 65 years was defined as “young.” Since there were no significant differences in SIS domains between the 3 time-groups, all time-group participants were included when analysing the influences of age and sex on SIS domains, as well as correlations between SIS domains and ADL/IADL, participation and recovery. SIS data were converted to scores between 0 and 100 for each domain (standardized score = [(actual raw data−1)/(5−1)] × 100), where 100 represented the best condition and 0 the worst (8). Here, standardized scores between 90 and 100 in any individual domain were defined as mild/subtle impairments, limitations, and restrictions. The continuous variables in demographic characteristics and converted SIS scores were presented as mean (standard deviation; SD). The categorical variables in demographic characteristics were presented as numbers and percentages. Differences in SIS scores between the 3 time-groups were compared using an ordinary 1-way analysis of variance (ANOVA). Differences in demographic and clinical characteristics between groups were compared using an ordinary 1-way ANOVA for continuous variable data or a χ2-squared test for categorical variables. Two-group differences were compared with t-tests for independent samples. Correlations between various SIS domains and respective ADL/IADL, participation, and overall recovery were analysed with Pearson’s correlation coefficients. All participants were included in the analyses. The correlation coefficient strengths were defined as: < 0.5 = low correlation, 0.5–0.7 = moderate correlation, and > 0.7 = high correlation (22). Statistical analyses were performed using GraphPad Prism, v.8 (San Diego, CA, USA). A p-value < 0.05 was considered statistically significant. All data processing was conducted blinded. The data were inclusive from 6 months to 10 years after onset of TIA. To increase the statistical power for comparing SIS domain differences over time, participants were divided into 3 groups: < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA. The no-limitation percentages were calculated based on the number of full-recovery participants (SIS scores of 100) divided by the total number of participants. Age > 65 years was defined as “old,” and ≤ 65 years was defined as “young.” Since there were no significant differences in SIS domains between the 3 time-groups, all time-group participants were included when analysing the influences of age and sex on SIS domains, as well as correlations between SIS domains and ADL/IADL, participation and recovery. SIS data were converted to scores between 0 and 100 for each domain (standardized score = [(actual raw data−1)/(5−1)] × 100), where 100 represented the best condition and 0 the worst (8). Here, standardized scores between 90 and 100 in any individual domain were defined as mild/subtle impairments, limitations, and restrictions. The continuous variables in demographic characteristics and converted SIS scores were presented as mean (standard deviation; SD). The categorical variables in demographic characteristics were presented as numbers and percentages. Differences in SIS scores between the 3 time-groups were compared using an ordinary 1-way analysis of variance (ANOVA). Differences in demographic and clinical characteristics between groups were compared using an ordinary 1-way ANOVA for continuous variable data or a χ2-squared test for categorical variables. Two-group differences were compared with t-tests for independent samples. Correlations between various SIS domains and respective ADL/IADL, participation, and overall recovery were analysed with Pearson’s correlation coefficients. All participants were included in the analyses. The correlation coefficient strengths were defined as: < 0.5 = low correlation, 0.5–0.7 = moderate correlation, and > 0.7 = high correlation (22). Statistical analyses were performed using GraphPad Prism, v.8 (San Diego, CA, USA). A p-value < 0.05 was considered statistically significant.
RESULTS
Participant recruitment and their characteristics A total of 2,260 patients with a diagnosis of TIA were assessed for study eligibility. Of these, 481 eligible individuals consented to participate after having received written information about the study. The response rate was 26%. The most common reasons for exclusion were recurrence of TIA, early stroke/TIA, or stroke after TIA (n = 154). A final total of 299 participants, each with a first-ever TIA between 2008 and 2018 and meeting the other inclusion criteria, were recruited to participate in the study (Fig. 1). Flowchart of study inclusion process. TIA: transient ischaemic attack. Participant characteristics are summarized in Table I. Their mean age was 72 years, with more than 80% of participants older than 65 years. Males represented 56% of participants, and females 44%. Hypertension was the most common co-morbidity. Functional outcomes, assessed by the mRSq, showed that approximately 91% (271/299) of participants were independent and able to live alone without any help from other people (mRSq values 0–1), and only 9% (27/299) were dependent (mRSq values 2–5). No significant difference in mRSq was observed between females and males, or between younger and older participants (Table II). Demographic and clinical characteristics of all participants TIA: transient ischaemic attack; SD: standard deviation. Differences in various Stroke Impact Scale (SIS) domains and Modified Rankin Scale questionnaire (mRSq) score between sex and age groups Higher score in SIS domain indicates less disability. Lower mRSq score indicates good outcome. Bold numbers indicate significant differences between groups. SD: standard deviation; ADL/IADL: activities of daily living/instrumental activities of daily living. There were no statistically significant differences between the 3 time-groups (i.e. < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA) for age, sex, co-morbidities, or mRSq values (Table I). A total of 2,260 patients with a diagnosis of TIA were assessed for study eligibility. Of these, 481 eligible individuals consented to participate after having received written information about the study. The response rate was 26%. The most common reasons for exclusion were recurrence of TIA, early stroke/TIA, or stroke after TIA (n = 154). A final total of 299 participants, each with a first-ever TIA between 2008 and 2018 and meeting the other inclusion criteria, were recruited to participate in the study (Fig. 1). Flowchart of study inclusion process. TIA: transient ischaemic attack. Participant characteristics are summarized in Table I. Their mean age was 72 years, with more than 80% of participants older than 65 years. Males represented 56% of participants, and females 44%. Hypertension was the most common co-morbidity. Functional outcomes, assessed by the mRSq, showed that approximately 91% (271/299) of participants were independent and able to live alone without any help from other people (mRSq values 0–1), and only 9% (27/299) were dependent (mRSq values 2–5). No significant difference in mRSq was observed between females and males, or between younger and older participants (Table II). Demographic and clinical characteristics of all participants TIA: transient ischaemic attack; SD: standard deviation. Differences in various Stroke Impact Scale (SIS) domains and Modified Rankin Scale questionnaire (mRSq) score between sex and age groups Higher score in SIS domain indicates less disability. Lower mRSq score indicates good outcome. Bold numbers indicate significant differences between groups. SD: standard deviation; ADL/IADL: activities of daily living/instrumental activities of daily living. There were no statistically significant differences between the 3 time-groups (i.e. < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA) for age, sex, co-morbidities, or mRSq values (Table I). SIS domains More than four-fifths of participants reported emotional problems (mean value 80.6) when all time-group participants were included (Table III), and almost half reported reduced strength (mean value 84.2). More than one-third of participants reported participation restrictions (mean value 89.1) among the SIS domains even though most (78%) were living independent lives, as demonstrated by mRSq scores (Table I). Other SIS domains, including memory and thinking, communication, ADL/IADL, mobility, hand function, and recovery, were also reported to have subtle perceived difficulties (mean value > 90). No significant differences were found in all SIS domains between the 3 time-groups up to 10 years after the TIA. There were 198 participants (66.5%) who experienced full recovery after their TIAs, and their perceived disabilities were stable without significant differences between the 3 time-groups (Table III). Degree of disability presented by Stroke Impact Scale (SIS) scores (Mean (standard deviation; SD)). p-value tested by analysis of variance (ANOVA) test between 3 groups ADL/IADL: activities of daily living/instrumental activities of daily living. As shown in Table II, female participants reported significantly more emotional disabilities than male participants (p = 0.03), male participants had better hand function than females (p = 0.03), and older TIA survivors reported significantly more disabilities for strength, mobility, hand function, ADLs, and participation compared with younger survivors. The associations between ADL/IADL, participation, and overall recovery, and the other SIS domains are shown in Table IV. Perceived limitations of mobility showed moderate significant correlations between ADL/IADL (r = 0.62 and p < 0.0001) and participation (r = 0.67 and p < 0.0001). Moreover, the perceived difficulties for hand function also showed a moderate significant correlation with ADL/IADL (r = 0.55 and p < 0.0001) (Table IV), and the correlation between daily activities and participation was also moderate (r = 0.70 and p < 0.0001). The patient-reported reduced strength, limitations of memory/thinking and emotion demonstrated low, but significant, correlations with ADL/IADL and participation. The overall recovery demonstrated a significant moderate correlation with participation, while other SIS domains only showed low, but significant, correlations (Table IV). Correlations between Stroke Impact Scale (SIS) domains and activities of daily living/instrumental activities of daily living (ADL/IADL), participation and recovery All bold numbers with p-values < 0.0001. More than four-fifths of participants reported emotional problems (mean value 80.6) when all time-group participants were included (Table III), and almost half reported reduced strength (mean value 84.2). More than one-third of participants reported participation restrictions (mean value 89.1) among the SIS domains even though most (78%) were living independent lives, as demonstrated by mRSq scores (Table I). Other SIS domains, including memory and thinking, communication, ADL/IADL, mobility, hand function, and recovery, were also reported to have subtle perceived difficulties (mean value > 90). No significant differences were found in all SIS domains between the 3 time-groups up to 10 years after the TIA. There were 198 participants (66.5%) who experienced full recovery after their TIAs, and their perceived disabilities were stable without significant differences between the 3 time-groups (Table III). Degree of disability presented by Stroke Impact Scale (SIS) scores (Mean (standard deviation; SD)). p-value tested by analysis of variance (ANOVA) test between 3 groups ADL/IADL: activities of daily living/instrumental activities of daily living. As shown in Table II, female participants reported significantly more emotional disabilities than male participants (p = 0.03), male participants had better hand function than females (p = 0.03), and older TIA survivors reported significantly more disabilities for strength, mobility, hand function, ADLs, and participation compared with younger survivors. The associations between ADL/IADL, participation, and overall recovery, and the other SIS domains are shown in Table IV. Perceived limitations of mobility showed moderate significant correlations between ADL/IADL (r = 0.62 and p < 0.0001) and participation (r = 0.67 and p < 0.0001). Moreover, the perceived difficulties for hand function also showed a moderate significant correlation with ADL/IADL (r = 0.55 and p < 0.0001) (Table IV), and the correlation between daily activities and participation was also moderate (r = 0.70 and p < 0.0001). The patient-reported reduced strength, limitations of memory/thinking and emotion demonstrated low, but significant, correlations with ADL/IADL and participation. The overall recovery demonstrated a significant moderate correlation with participation, while other SIS domains only showed low, but significant, correlations (Table IV). Correlations between Stroke Impact Scale (SIS) domains and activities of daily living/instrumental activities of daily living (ADL/IADL), participation and recovery All bold numbers with p-values < 0.0001.
Conclusion
In conclusion, broadly perceived disabilities were demonstrated consistently and played a significant meaningful role in the everyday life and recovery of community-dwelling individuals from 6 months up to 10 years after TIA. Women and elderly people were more likely to report more disabilities. These findings indicate a need for long-term multi-professional follow-up with holistic rehabilitation interventions, including physical activity, to improve overall recovery among survivors of TIA.
[ "Ethics", "Study design and participants", "Data collection and questionnaires", "Modified Rankin Scale questionnaire", "Stroke Impact Scale 3.0", "Data presentation and statistics", "Participant recruitment and their characteristics", "SIS domains", "Study strengths and limitations", "Conclusion" ]
[ "Ethics approval was obtained from the regional Ethical Review Board in Umea, Sweden (Dnr 2016-355-32M). Written consent was obtained from all participants prior to inclusion in the study.", "This retrospective study included only individuals after their first-ever TIA. The study was conducted at the Department of Neurological Rehabilitation, University Hospital of Umeå, Sweden. All patients, 18 years or older, admitted to the Stroke Centre, University Hospital of Umeå, Sweden, between 2008 and 2018, and diagnosed with a TIA, were assessed for study eligibility. Exclusion criteria were: (i) recurrence of TIA, early stroke/TIA, or stroke after TIA; (ii) brain tumour, epilepsy, or sinus thrombus; (iii) death; and (iv) inability or unwillingness to provide written consent or answer the questionnaires.", "The questionnaires, information about the study, and written consent were sent to all eligible participants who were 6 months to 10 years after TIA onset during the autumn of 2018. The questionnaires and signed consent were returned before the end of 2018. In cases of missing data, complementary information was collected through phone calls with patients. However, the questionnaires were re-sent to a participant if a large amount of data was missing. All participants provided written informed consent to participate in the study. Demographic data that included age, sex, and co-morbidities were obtained from patient records.", "The Modified Rankin Scale questionnaire (mRSq) is a standardized, pragmatic, validated tool to help reliably score a person’s disability (19, 20). Five questions are answered “yes” or “no” by the patient. A scale rating from 0 (no symptoms) to 5 (total physical dependence) is then rated by following the mRSq flowchart. mRSq scores ≤ 2 are considered to represent total independence (19).", "The Stroke Impact Scale 3.0 (SIS) comprises 59 questions representing 8 domains: strength, memory and thinking, emotions, communication, mobility, hand function, ADL/IADL, and social participation (8). Each question is answered using the Likert scale, ranging from 1 to 5 (8, 21), with higher scores indicating better outcomes. For the strength domain, the ratings range from “no strength at all” to “a lot of strength;” for emotions and participation, choices range from “none of the time” to “all of the time;” for the remaining domains, the ratings range from “extremely difficult/cannot do at all” to “not difficult at all” (9). Also, the SIS includes a visual analogue scale, where 0 represents no perceived stroke recovery and 100 represents full recovery (8). Scores < 100 were defined as not fully recovered from the TIA.", "All data processing was conducted blinded. The data were inclusive from 6 months to 10 years after onset of TIA. To increase the statistical power for comparing SIS domain differences over time, participants were divided into 3 groups: < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA. The no-limitation percentages were calculated based on the number of full-recovery participants (SIS scores of 100) divided by the total number of participants. Age > 65 years was defined as “old,” and ≤ 65 years was defined as “young.” Since there were no significant differences in SIS domains between the 3 time-groups, all time-group participants were included when analysing the influences of age and sex on SIS domains, as well as correlations between SIS domains and ADL/IADL, participation and recovery.\nSIS data were converted to scores between 0 and 100 for each domain (standardized score = [(actual raw data−1)/(5−1)] × 100), where 100 represented the best condition and 0 the worst (8). Here, standardized scores between 90 and 100 in any individual domain were defined as mild/subtle impairments, limitations, and restrictions. The continuous variables in demographic characteristics and converted SIS scores were presented as mean (standard deviation; SD). The categorical variables in demographic characteristics were presented as numbers and percentages. Differences in SIS scores between the 3 time-groups were compared using an ordinary 1-way analysis of variance (ANOVA). Differences in demographic and clinical characteristics between groups were compared using an ordinary 1-way ANOVA for continuous variable data or a χ2-squared test for categorical variables. Two-group differences were compared with t-tests for independent samples.\nCorrelations between various SIS domains and respective ADL/IADL, participation, and overall recovery were analysed with Pearson’s correlation coefficients. All participants were included in the analyses. The correlation coefficient strengths were defined as: < 0.5 = low correlation, 0.5–0.7 = moderate correlation, and > 0.7 = high correlation (22).\nStatistical analyses were performed using GraphPad Prism, v.8 (San Diego, CA, USA). A p-value < 0.05 was considered statistically significant.", "A total of 2,260 patients with a diagnosis of TIA were assessed for study eligibility. Of these, 481 eligible individuals consented to participate after having received written information about the study. The response rate was 26%. The most common reasons for exclusion were recurrence of TIA, early stroke/TIA, or stroke after TIA (n = 154). A final total of 299 participants, each with a first-ever TIA between 2008 and 2018 and meeting the other inclusion criteria, were recruited to participate in the study (Fig. 1).\nFlowchart of study inclusion process. TIA: transient ischaemic attack.\nParticipant characteristics are summarized in Table I. Their mean age was 72 years, with more than 80% of participants older than 65 years. Males represented 56% of participants, and females 44%. Hypertension was the most common co-morbidity. Functional outcomes, assessed by the mRSq, showed that approximately 91% (271/299) of participants were independent and able to live alone without any help from other people (mRSq values 0–1), and only 9% (27/299) were dependent (mRSq values 2–5). No significant difference in mRSq was observed between females and males, or between younger and older participants (Table II).\nDemographic and clinical characteristics of all participants\nTIA: transient ischaemic attack; SD: standard deviation.\nDifferences in various Stroke Impact Scale (SIS) domains and Modified Rankin Scale questionnaire (mRSq) score between sex and age groups\nHigher score in SIS domain indicates less disability. Lower mRSq score indicates good outcome. Bold numbers indicate significant differences between groups. SD: standard deviation; ADL/IADL: activities of daily living/instrumental activities of daily living.\nThere were no statistically significant differences between the 3 time-groups (i.e. < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA) for age, sex, co-morbidities, or mRSq values (Table I).", "More than four-fifths of participants reported emotional problems (mean value 80.6) when all time-group participants were included (Table III), and almost half reported reduced strength (mean value 84.2). More than one-third of participants reported participation restrictions (mean value 89.1) among the SIS domains even though most (78%) were living independent lives, as demonstrated by mRSq scores (Table I). Other SIS domains, including memory and thinking, communication, ADL/IADL, mobility, hand function, and recovery, were also reported to have subtle perceived difficulties (mean value > 90). No significant differences were found in all SIS domains between the 3 time-groups up to 10 years after the TIA. There were 198 participants (66.5%) who experienced full recovery after their TIAs, and their perceived disabilities were stable without significant differences between the 3 time-groups (Table III).\nDegree of disability presented by Stroke Impact Scale (SIS) scores (Mean (standard deviation; SD)). p-value tested by analysis of variance (ANOVA) test between 3 groups\nADL/IADL: activities of daily living/instrumental activities of daily living.\nAs shown in Table II, female participants reported significantly more emotional disabilities than male participants (p = 0.03), male participants had better hand function than females (p = 0.03), and older TIA survivors reported significantly more disabilities for strength, mobility, hand function, ADLs, and participation compared with younger survivors.\nThe associations between ADL/IADL, participation, and overall recovery, and the other SIS domains are shown in Table IV. Perceived limitations of mobility showed moderate significant correlations between ADL/IADL (r = 0.62 and p < 0.0001) and participation (r = 0.67 and p < 0.0001). Moreover, the perceived difficulties for hand function also showed a moderate significant correlation with ADL/IADL (r = 0.55 and p < 0.0001) (Table IV), and the correlation between daily activities and participation was also moderate (r = 0.70 and p < 0.0001). The patient-reported reduced strength, limitations of memory/thinking and emotion demonstrated low, but significant, correlations with ADL/IADL and participation. The overall recovery demonstrated a significant moderate correlation with participation, while other SIS domains only showed low, but significant, correlations (Table IV).\nCorrelations between Stroke Impact Scale (SIS) domains and activities of daily living/instrumental activities of daily living (ADL/IADL), participation and recovery\nAll bold numbers with p-values < 0.0001.", "The main strengths of the current study were the relatively large sample size and the long-term follow-up period, which made it possible to study TIA-impact differences between survivors up to 10 years after onset of TIA. On the other hand, very long-term follow-ups may also have weaknesses. The possibility that other comorbidities may have influenced SIS domains cannot be ruled out. Various comorbidities, such as hypertension, diabetes, and heart disease among participants, may have partially affected the outcomes of SIS domain assessments in addition to the TIAs. Furthermore, possible changes in the SIS data could not be studied over time, since the individuals were recruited at different time-points after TIA onset. Caution should also be exercised due to the low total-response rate, lack of a control group, and inclusion in the study only of survivors living in the community. Another caveat is that no objective assessments of cognitive or motor functions were performed by the medical staff, even though the use of the SIS has been well-validated in both stroke and TIA patients. Given these limitations, the assessments in the current study have been made with due caution.", "In conclusion, broadly perceived disabilities were demonstrated consistently and played a significant meaningful role in the everyday life and recovery of community-dwelling individuals from 6 months up to 10 years after TIA. Women and elderly people were more likely to report more disabilities. These findings indicate a need for long-term multi-professional follow-up with holistic rehabilitation interventions, including physical activity, to improve overall recovery among survivors of TIA." ]
[ null, null, null, null, null, null, null, null, null, null ]
[ "METHODS", "Ethics", "Study design and participants", "Data collection and questionnaires", "Modified Rankin Scale questionnaire", "Stroke Impact Scale 3.0", "Data presentation and statistics", "RESULTS", "Participant recruitment and their characteristics", "SIS domains", "DISCUSSION", "Study strengths and limitations", "Conclusion" ]
[ "Ethics Ethics approval was obtained from the regional Ethical Review Board in Umea, Sweden (Dnr 2016-355-32M). Written consent was obtained from all participants prior to inclusion in the study.\nEthics approval was obtained from the regional Ethical Review Board in Umea, Sweden (Dnr 2016-355-32M). Written consent was obtained from all participants prior to inclusion in the study.\nStudy design and participants This retrospective study included only individuals after their first-ever TIA. The study was conducted at the Department of Neurological Rehabilitation, University Hospital of Umeå, Sweden. All patients, 18 years or older, admitted to the Stroke Centre, University Hospital of Umeå, Sweden, between 2008 and 2018, and diagnosed with a TIA, were assessed for study eligibility. Exclusion criteria were: (i) recurrence of TIA, early stroke/TIA, or stroke after TIA; (ii) brain tumour, epilepsy, or sinus thrombus; (iii) death; and (iv) inability or unwillingness to provide written consent or answer the questionnaires.\nThis retrospective study included only individuals after their first-ever TIA. The study was conducted at the Department of Neurological Rehabilitation, University Hospital of Umeå, Sweden. All patients, 18 years or older, admitted to the Stroke Centre, University Hospital of Umeå, Sweden, between 2008 and 2018, and diagnosed with a TIA, were assessed for study eligibility. Exclusion criteria were: (i) recurrence of TIA, early stroke/TIA, or stroke after TIA; (ii) brain tumour, epilepsy, or sinus thrombus; (iii) death; and (iv) inability or unwillingness to provide written consent or answer the questionnaires.\nData collection and questionnaires The questionnaires, information about the study, and written consent were sent to all eligible participants who were 6 months to 10 years after TIA onset during the autumn of 2018. The questionnaires and signed consent were returned before the end of 2018. In cases of missing data, complementary information was collected through phone calls with patients. However, the questionnaires were re-sent to a participant if a large amount of data was missing. All participants provided written informed consent to participate in the study. Demographic data that included age, sex, and co-morbidities were obtained from patient records.\nThe questionnaires, information about the study, and written consent were sent to all eligible participants who were 6 months to 10 years after TIA onset during the autumn of 2018. The questionnaires and signed consent were returned before the end of 2018. In cases of missing data, complementary information was collected through phone calls with patients. However, the questionnaires were re-sent to a participant if a large amount of data was missing. All participants provided written informed consent to participate in the study. Demographic data that included age, sex, and co-morbidities were obtained from patient records.\nModified Rankin Scale questionnaire The Modified Rankin Scale questionnaire (mRSq) is a standardized, pragmatic, validated tool to help reliably score a person’s disability (19, 20). Five questions are answered “yes” or “no” by the patient. A scale rating from 0 (no symptoms) to 5 (total physical dependence) is then rated by following the mRSq flowchart. mRSq scores ≤ 2 are considered to represent total independence (19).\nThe Modified Rankin Scale questionnaire (mRSq) is a standardized, pragmatic, validated tool to help reliably score a person’s disability (19, 20). Five questions are answered “yes” or “no” by the patient. A scale rating from 0 (no symptoms) to 5 (total physical dependence) is then rated by following the mRSq flowchart. mRSq scores ≤ 2 are considered to represent total independence (19).\nStroke Impact Scale 3.0 The Stroke Impact Scale 3.0 (SIS) comprises 59 questions representing 8 domains: strength, memory and thinking, emotions, communication, mobility, hand function, ADL/IADL, and social participation (8). Each question is answered using the Likert scale, ranging from 1 to 5 (8, 21), with higher scores indicating better outcomes. For the strength domain, the ratings range from “no strength at all” to “a lot of strength;” for emotions and participation, choices range from “none of the time” to “all of the time;” for the remaining domains, the ratings range from “extremely difficult/cannot do at all” to “not difficult at all” (9). Also, the SIS includes a visual analogue scale, where 0 represents no perceived stroke recovery and 100 represents full recovery (8). Scores < 100 were defined as not fully recovered from the TIA.\nThe Stroke Impact Scale 3.0 (SIS) comprises 59 questions representing 8 domains: strength, memory and thinking, emotions, communication, mobility, hand function, ADL/IADL, and social participation (8). Each question is answered using the Likert scale, ranging from 1 to 5 (8, 21), with higher scores indicating better outcomes. For the strength domain, the ratings range from “no strength at all” to “a lot of strength;” for emotions and participation, choices range from “none of the time” to “all of the time;” for the remaining domains, the ratings range from “extremely difficult/cannot do at all” to “not difficult at all” (9). Also, the SIS includes a visual analogue scale, where 0 represents no perceived stroke recovery and 100 represents full recovery (8). Scores < 100 were defined as not fully recovered from the TIA.\nData presentation and statistics All data processing was conducted blinded. The data were inclusive from 6 months to 10 years after onset of TIA. To increase the statistical power for comparing SIS domain differences over time, participants were divided into 3 groups: < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA. The no-limitation percentages were calculated based on the number of full-recovery participants (SIS scores of 100) divided by the total number of participants. Age > 65 years was defined as “old,” and ≤ 65 years was defined as “young.” Since there were no significant differences in SIS domains between the 3 time-groups, all time-group participants were included when analysing the influences of age and sex on SIS domains, as well as correlations between SIS domains and ADL/IADL, participation and recovery.\nSIS data were converted to scores between 0 and 100 for each domain (standardized score = [(actual raw data−1)/(5−1)] × 100), where 100 represented the best condition and 0 the worst (8). Here, standardized scores between 90 and 100 in any individual domain were defined as mild/subtle impairments, limitations, and restrictions. The continuous variables in demographic characteristics and converted SIS scores were presented as mean (standard deviation; SD). The categorical variables in demographic characteristics were presented as numbers and percentages. Differences in SIS scores between the 3 time-groups were compared using an ordinary 1-way analysis of variance (ANOVA). Differences in demographic and clinical characteristics between groups were compared using an ordinary 1-way ANOVA for continuous variable data or a χ2-squared test for categorical variables. Two-group differences were compared with t-tests for independent samples.\nCorrelations between various SIS domains and respective ADL/IADL, participation, and overall recovery were analysed with Pearson’s correlation coefficients. All participants were included in the analyses. The correlation coefficient strengths were defined as: < 0.5 = low correlation, 0.5–0.7 = moderate correlation, and > 0.7 = high correlation (22).\nStatistical analyses were performed using GraphPad Prism, v.8 (San Diego, CA, USA). A p-value < 0.05 was considered statistically significant.\nAll data processing was conducted blinded. The data were inclusive from 6 months to 10 years after onset of TIA. To increase the statistical power for comparing SIS domain differences over time, participants were divided into 3 groups: < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA. The no-limitation percentages were calculated based on the number of full-recovery participants (SIS scores of 100) divided by the total number of participants. Age > 65 years was defined as “old,” and ≤ 65 years was defined as “young.” Since there were no significant differences in SIS domains between the 3 time-groups, all time-group participants were included when analysing the influences of age and sex on SIS domains, as well as correlations between SIS domains and ADL/IADL, participation and recovery.\nSIS data were converted to scores between 0 and 100 for each domain (standardized score = [(actual raw data−1)/(5−1)] × 100), where 100 represented the best condition and 0 the worst (8). Here, standardized scores between 90 and 100 in any individual domain were defined as mild/subtle impairments, limitations, and restrictions. The continuous variables in demographic characteristics and converted SIS scores were presented as mean (standard deviation; SD). The categorical variables in demographic characteristics were presented as numbers and percentages. Differences in SIS scores between the 3 time-groups were compared using an ordinary 1-way analysis of variance (ANOVA). Differences in demographic and clinical characteristics between groups were compared using an ordinary 1-way ANOVA for continuous variable data or a χ2-squared test for categorical variables. Two-group differences were compared with t-tests for independent samples.\nCorrelations between various SIS domains and respective ADL/IADL, participation, and overall recovery were analysed with Pearson’s correlation coefficients. All participants were included in the analyses. The correlation coefficient strengths were defined as: < 0.5 = low correlation, 0.5–0.7 = moderate correlation, and > 0.7 = high correlation (22).\nStatistical analyses were performed using GraphPad Prism, v.8 (San Diego, CA, USA). A p-value < 0.05 was considered statistically significant.", "Ethics approval was obtained from the regional Ethical Review Board in Umea, Sweden (Dnr 2016-355-32M). Written consent was obtained from all participants prior to inclusion in the study.", "This retrospective study included only individuals after their first-ever TIA. The study was conducted at the Department of Neurological Rehabilitation, University Hospital of Umeå, Sweden. All patients, 18 years or older, admitted to the Stroke Centre, University Hospital of Umeå, Sweden, between 2008 and 2018, and diagnosed with a TIA, were assessed for study eligibility. Exclusion criteria were: (i) recurrence of TIA, early stroke/TIA, or stroke after TIA; (ii) brain tumour, epilepsy, or sinus thrombus; (iii) death; and (iv) inability or unwillingness to provide written consent or answer the questionnaires.", "The questionnaires, information about the study, and written consent were sent to all eligible participants who were 6 months to 10 years after TIA onset during the autumn of 2018. The questionnaires and signed consent were returned before the end of 2018. In cases of missing data, complementary information was collected through phone calls with patients. However, the questionnaires were re-sent to a participant if a large amount of data was missing. All participants provided written informed consent to participate in the study. Demographic data that included age, sex, and co-morbidities were obtained from patient records.", "The Modified Rankin Scale questionnaire (mRSq) is a standardized, pragmatic, validated tool to help reliably score a person’s disability (19, 20). Five questions are answered “yes” or “no” by the patient. A scale rating from 0 (no symptoms) to 5 (total physical dependence) is then rated by following the mRSq flowchart. mRSq scores ≤ 2 are considered to represent total independence (19).", "The Stroke Impact Scale 3.0 (SIS) comprises 59 questions representing 8 domains: strength, memory and thinking, emotions, communication, mobility, hand function, ADL/IADL, and social participation (8). Each question is answered using the Likert scale, ranging from 1 to 5 (8, 21), with higher scores indicating better outcomes. For the strength domain, the ratings range from “no strength at all” to “a lot of strength;” for emotions and participation, choices range from “none of the time” to “all of the time;” for the remaining domains, the ratings range from “extremely difficult/cannot do at all” to “not difficult at all” (9). Also, the SIS includes a visual analogue scale, where 0 represents no perceived stroke recovery and 100 represents full recovery (8). Scores < 100 were defined as not fully recovered from the TIA.", "All data processing was conducted blinded. The data were inclusive from 6 months to 10 years after onset of TIA. To increase the statistical power for comparing SIS domain differences over time, participants were divided into 3 groups: < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA. The no-limitation percentages were calculated based on the number of full-recovery participants (SIS scores of 100) divided by the total number of participants. Age > 65 years was defined as “old,” and ≤ 65 years was defined as “young.” Since there were no significant differences in SIS domains between the 3 time-groups, all time-group participants were included when analysing the influences of age and sex on SIS domains, as well as correlations between SIS domains and ADL/IADL, participation and recovery.\nSIS data were converted to scores between 0 and 100 for each domain (standardized score = [(actual raw data−1)/(5−1)] × 100), where 100 represented the best condition and 0 the worst (8). Here, standardized scores between 90 and 100 in any individual domain were defined as mild/subtle impairments, limitations, and restrictions. The continuous variables in demographic characteristics and converted SIS scores were presented as mean (standard deviation; SD). The categorical variables in demographic characteristics were presented as numbers and percentages. Differences in SIS scores between the 3 time-groups were compared using an ordinary 1-way analysis of variance (ANOVA). Differences in demographic and clinical characteristics between groups were compared using an ordinary 1-way ANOVA for continuous variable data or a χ2-squared test for categorical variables. Two-group differences were compared with t-tests for independent samples.\nCorrelations between various SIS domains and respective ADL/IADL, participation, and overall recovery were analysed with Pearson’s correlation coefficients. All participants were included in the analyses. The correlation coefficient strengths were defined as: < 0.5 = low correlation, 0.5–0.7 = moderate correlation, and > 0.7 = high correlation (22).\nStatistical analyses were performed using GraphPad Prism, v.8 (San Diego, CA, USA). A p-value < 0.05 was considered statistically significant.", "Participant recruitment and their characteristics A total of 2,260 patients with a diagnosis of TIA were assessed for study eligibility. Of these, 481 eligible individuals consented to participate after having received written information about the study. The response rate was 26%. The most common reasons for exclusion were recurrence of TIA, early stroke/TIA, or stroke after TIA (n = 154). A final total of 299 participants, each with a first-ever TIA between 2008 and 2018 and meeting the other inclusion criteria, were recruited to participate in the study (Fig. 1).\nFlowchart of study inclusion process. TIA: transient ischaemic attack.\nParticipant characteristics are summarized in Table I. Their mean age was 72 years, with more than 80% of participants older than 65 years. Males represented 56% of participants, and females 44%. Hypertension was the most common co-morbidity. Functional outcomes, assessed by the mRSq, showed that approximately 91% (271/299) of participants were independent and able to live alone without any help from other people (mRSq values 0–1), and only 9% (27/299) were dependent (mRSq values 2–5). No significant difference in mRSq was observed between females and males, or between younger and older participants (Table II).\nDemographic and clinical characteristics of all participants\nTIA: transient ischaemic attack; SD: standard deviation.\nDifferences in various Stroke Impact Scale (SIS) domains and Modified Rankin Scale questionnaire (mRSq) score between sex and age groups\nHigher score in SIS domain indicates less disability. Lower mRSq score indicates good outcome. Bold numbers indicate significant differences between groups. SD: standard deviation; ADL/IADL: activities of daily living/instrumental activities of daily living.\nThere were no statistically significant differences between the 3 time-groups (i.e. < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA) for age, sex, co-morbidities, or mRSq values (Table I).\nA total of 2,260 patients with a diagnosis of TIA were assessed for study eligibility. Of these, 481 eligible individuals consented to participate after having received written information about the study. The response rate was 26%. The most common reasons for exclusion were recurrence of TIA, early stroke/TIA, or stroke after TIA (n = 154). A final total of 299 participants, each with a first-ever TIA between 2008 and 2018 and meeting the other inclusion criteria, were recruited to participate in the study (Fig. 1).\nFlowchart of study inclusion process. TIA: transient ischaemic attack.\nParticipant characteristics are summarized in Table I. Their mean age was 72 years, with more than 80% of participants older than 65 years. Males represented 56% of participants, and females 44%. Hypertension was the most common co-morbidity. Functional outcomes, assessed by the mRSq, showed that approximately 91% (271/299) of participants were independent and able to live alone without any help from other people (mRSq values 0–1), and only 9% (27/299) were dependent (mRSq values 2–5). No significant difference in mRSq was observed between females and males, or between younger and older participants (Table II).\nDemographic and clinical characteristics of all participants\nTIA: transient ischaemic attack; SD: standard deviation.\nDifferences in various Stroke Impact Scale (SIS) domains and Modified Rankin Scale questionnaire (mRSq) score between sex and age groups\nHigher score in SIS domain indicates less disability. Lower mRSq score indicates good outcome. Bold numbers indicate significant differences between groups. SD: standard deviation; ADL/IADL: activities of daily living/instrumental activities of daily living.\nThere were no statistically significant differences between the 3 time-groups (i.e. < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA) for age, sex, co-morbidities, or mRSq values (Table I).\nSIS domains More than four-fifths of participants reported emotional problems (mean value 80.6) when all time-group participants were included (Table III), and almost half reported reduced strength (mean value 84.2). More than one-third of participants reported participation restrictions (mean value 89.1) among the SIS domains even though most (78%) were living independent lives, as demonstrated by mRSq scores (Table I). Other SIS domains, including memory and thinking, communication, ADL/IADL, mobility, hand function, and recovery, were also reported to have subtle perceived difficulties (mean value > 90). No significant differences were found in all SIS domains between the 3 time-groups up to 10 years after the TIA. There were 198 participants (66.5%) who experienced full recovery after their TIAs, and their perceived disabilities were stable without significant differences between the 3 time-groups (Table III).\nDegree of disability presented by Stroke Impact Scale (SIS) scores (Mean (standard deviation; SD)). p-value tested by analysis of variance (ANOVA) test between 3 groups\nADL/IADL: activities of daily living/instrumental activities of daily living.\nAs shown in Table II, female participants reported significantly more emotional disabilities than male participants (p = 0.03), male participants had better hand function than females (p = 0.03), and older TIA survivors reported significantly more disabilities for strength, mobility, hand function, ADLs, and participation compared with younger survivors.\nThe associations between ADL/IADL, participation, and overall recovery, and the other SIS domains are shown in Table IV. Perceived limitations of mobility showed moderate significant correlations between ADL/IADL (r = 0.62 and p < 0.0001) and participation (r = 0.67 and p < 0.0001). Moreover, the perceived difficulties for hand function also showed a moderate significant correlation with ADL/IADL (r = 0.55 and p < 0.0001) (Table IV), and the correlation between daily activities and participation was also moderate (r = 0.70 and p < 0.0001). The patient-reported reduced strength, limitations of memory/thinking and emotion demonstrated low, but significant, correlations with ADL/IADL and participation. The overall recovery demonstrated a significant moderate correlation with participation, while other SIS domains only showed low, but significant, correlations (Table IV).\nCorrelations between Stroke Impact Scale (SIS) domains and activities of daily living/instrumental activities of daily living (ADL/IADL), participation and recovery\nAll bold numbers with p-values < 0.0001.\nMore than four-fifths of participants reported emotional problems (mean value 80.6) when all time-group participants were included (Table III), and almost half reported reduced strength (mean value 84.2). More than one-third of participants reported participation restrictions (mean value 89.1) among the SIS domains even though most (78%) were living independent lives, as demonstrated by mRSq scores (Table I). Other SIS domains, including memory and thinking, communication, ADL/IADL, mobility, hand function, and recovery, were also reported to have subtle perceived difficulties (mean value > 90). No significant differences were found in all SIS domains between the 3 time-groups up to 10 years after the TIA. There were 198 participants (66.5%) who experienced full recovery after their TIAs, and their perceived disabilities were stable without significant differences between the 3 time-groups (Table III).\nDegree of disability presented by Stroke Impact Scale (SIS) scores (Mean (standard deviation; SD)). p-value tested by analysis of variance (ANOVA) test between 3 groups\nADL/IADL: activities of daily living/instrumental activities of daily living.\nAs shown in Table II, female participants reported significantly more emotional disabilities than male participants (p = 0.03), male participants had better hand function than females (p = 0.03), and older TIA survivors reported significantly more disabilities for strength, mobility, hand function, ADLs, and participation compared with younger survivors.\nThe associations between ADL/IADL, participation, and overall recovery, and the other SIS domains are shown in Table IV. Perceived limitations of mobility showed moderate significant correlations between ADL/IADL (r = 0.62 and p < 0.0001) and participation (r = 0.67 and p < 0.0001). Moreover, the perceived difficulties for hand function also showed a moderate significant correlation with ADL/IADL (r = 0.55 and p < 0.0001) (Table IV), and the correlation between daily activities and participation was also moderate (r = 0.70 and p < 0.0001). The patient-reported reduced strength, limitations of memory/thinking and emotion demonstrated low, but significant, correlations with ADL/IADL and participation. The overall recovery demonstrated a significant moderate correlation with participation, while other SIS domains only showed low, but significant, correlations (Table IV).\nCorrelations between Stroke Impact Scale (SIS) domains and activities of daily living/instrumental activities of daily living (ADL/IADL), participation and recovery\nAll bold numbers with p-values < 0.0001.", "A total of 2,260 patients with a diagnosis of TIA were assessed for study eligibility. Of these, 481 eligible individuals consented to participate after having received written information about the study. The response rate was 26%. The most common reasons for exclusion were recurrence of TIA, early stroke/TIA, or stroke after TIA (n = 154). A final total of 299 participants, each with a first-ever TIA between 2008 and 2018 and meeting the other inclusion criteria, were recruited to participate in the study (Fig. 1).\nFlowchart of study inclusion process. TIA: transient ischaemic attack.\nParticipant characteristics are summarized in Table I. Their mean age was 72 years, with more than 80% of participants older than 65 years. Males represented 56% of participants, and females 44%. Hypertension was the most common co-morbidity. Functional outcomes, assessed by the mRSq, showed that approximately 91% (271/299) of participants were independent and able to live alone without any help from other people (mRSq values 0–1), and only 9% (27/299) were dependent (mRSq values 2–5). No significant difference in mRSq was observed between females and males, or between younger and older participants (Table II).\nDemographic and clinical characteristics of all participants\nTIA: transient ischaemic attack; SD: standard deviation.\nDifferences in various Stroke Impact Scale (SIS) domains and Modified Rankin Scale questionnaire (mRSq) score between sex and age groups\nHigher score in SIS domain indicates less disability. Lower mRSq score indicates good outcome. Bold numbers indicate significant differences between groups. SD: standard deviation; ADL/IADL: activities of daily living/instrumental activities of daily living.\nThere were no statistically significant differences between the 3 time-groups (i.e. < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA) for age, sex, co-morbidities, or mRSq values (Table I).", "More than four-fifths of participants reported emotional problems (mean value 80.6) when all time-group participants were included (Table III), and almost half reported reduced strength (mean value 84.2). More than one-third of participants reported participation restrictions (mean value 89.1) among the SIS domains even though most (78%) were living independent lives, as demonstrated by mRSq scores (Table I). Other SIS domains, including memory and thinking, communication, ADL/IADL, mobility, hand function, and recovery, were also reported to have subtle perceived difficulties (mean value > 90). No significant differences were found in all SIS domains between the 3 time-groups up to 10 years after the TIA. There were 198 participants (66.5%) who experienced full recovery after their TIAs, and their perceived disabilities were stable without significant differences between the 3 time-groups (Table III).\nDegree of disability presented by Stroke Impact Scale (SIS) scores (Mean (standard deviation; SD)). p-value tested by analysis of variance (ANOVA) test between 3 groups\nADL/IADL: activities of daily living/instrumental activities of daily living.\nAs shown in Table II, female participants reported significantly more emotional disabilities than male participants (p = 0.03), male participants had better hand function than females (p = 0.03), and older TIA survivors reported significantly more disabilities for strength, mobility, hand function, ADLs, and participation compared with younger survivors.\nThe associations between ADL/IADL, participation, and overall recovery, and the other SIS domains are shown in Table IV. Perceived limitations of mobility showed moderate significant correlations between ADL/IADL (r = 0.62 and p < 0.0001) and participation (r = 0.67 and p < 0.0001). Moreover, the perceived difficulties for hand function also showed a moderate significant correlation with ADL/IADL (r = 0.55 and p < 0.0001) (Table IV), and the correlation between daily activities and participation was also moderate (r = 0.70 and p < 0.0001). The patient-reported reduced strength, limitations of memory/thinking and emotion demonstrated low, but significant, correlations with ADL/IADL and participation. The overall recovery demonstrated a significant moderate correlation with participation, while other SIS domains only showed low, but significant, correlations (Table IV).\nCorrelations between Stroke Impact Scale (SIS) domains and activities of daily living/instrumental activities of daily living (ADL/IADL), participation and recovery\nAll bold numbers with p-values < 0.0001.", "Using the SIS, this study demonstrated that patient-reported disabilities mostly involved emotion, strength, and participation, whereas only subtle perceived difficulties were found for memory/thinking, mobility, hand function, and communication among community-dwelling individuals after TIA. These perceived disabilities remained stable, with a similar prevalence from 6 months to 10 years after TIA. Women reported significantly more disabilities for emotion and hand function, while elderly subjects (age > 65 years) reported more disabilities for strength, mobility, hand function, ADL/IADL, and participation. The ADL, participation, and overall recovery demonstrated significant, although low-to-moderate, associations with other SIS domains after TIA.\nEmotional problems were the most common patient-reported disability by almost four-fifths of the participants during the 10-year range of follow-ups in the study. The current results confirmed those of previous studies, in which TIA increased psychological impairments 6–48 months after TIA onset (4, 23, 24). Meanwhile, the current data extend the time course for perceived emotional problems up to 10 years after TIA. This indicates that a TIA may cause emotional problems long after its onset among community-dwelling individuals (25). Compared with the male TIA participants, female participants reported significantly more emotional difficulties no matter their age. This is in line with a previous study, in which female stroke survivors experienced more emotional difficulties than men (26), which implies that the sex difference regarding the emotional issue may occur because women express their emotional issues better than men. The current findings indicate that more attention should be paid to emotional issues among TIA survivors, since a TIA increases the vulnerability to late-life emotional difficulties.\nEven though a TIA does not, by definition, result in permanent motor impairments, reduced strength was the second-most perceived impairment among more than 40% of participants up to 10 years post-TIA. This finding confirms and extends the time-course for reduced strength reported at 12 months after TIA (27). Together with undiagnosed minor stroke and reduced physical activity (27), the reduced strength may partly contribute to mobility limitations reported by one-third of participants, mostly the elderly participants, in the current study. These results suggest that long-term rehabilitation focusing on physical activity is needed to improve motor impairment and to delimitate their long-term negative impacts on daily life among individuals after a TIA, especially among elderly subjects.\nMore than 90% of participants lived independently (mRSq values 0–1), with only 20% having subtle ADL/IADL limitations. This is not surprising, since previous studies have reported that the majority of TIA survivors are generally independent in their ADL/IADL (4, 5, 7, 28). Despite the high level of independence, more than one-third of participants reported participation restrictions without full recovery after TIA, especially among elderly subjects. These results indicate that one-third of individuals after TIA may struggle with more complex activities, including various family, social, and work situations, although they live an independent life. Furthermore, the self-reported participation restrictions demonstrated more association with the perception of incomplete recovery than the other SIS domains. This is consistent with the finding among persons after stroke, who consider social participation as a major aspect of their recovery (29). The results of the current study imply a need for rehabilitation interventions focusing on participation issues among TIA survivors for improving their recovery (30).\nThe current study demonstrates that elderly subjects (age > 65 years), no matter their sex, report more disabilities for strength, mobility, hand function, ADL/IADL, and social participation. This indicates that higher age is a potential risk factor for the deterioration of outcomes after a TIA. In addition, the limitations on mobility and hand function were moderately related to limitations of ADL/IADL. This, again, emphasizes the importance of physical activity for a person after a TIA. Moreover, impairment of strength, limitations on memory and thinking, emotion, and communication also demonstrated weak, but significant, associations with limitations of ADL/IADL tasks and participation restrictions. The present findings suggest that the various subtle disabilities after TIA may play a significant meaningful role in everyday life and recovery from 6 months to 10 years after onset of TIA. Consistent with similar findings among stroke patients (13–15), the current data indicate that a multi-professional follow-up using holistic rehabilitation may be required to reduce these negative consequences on ADL/IADL, participation, and to improve overall recovery (31). To date, however, there have been no clinically routine rehabilitation interventions provided to TIA survivors in Sweden.\nStudy strengths and limitations The main strengths of the current study were the relatively large sample size and the long-term follow-up period, which made it possible to study TIA-impact differences between survivors up to 10 years after onset of TIA. On the other hand, very long-term follow-ups may also have weaknesses. The possibility that other comorbidities may have influenced SIS domains cannot be ruled out. Various comorbidities, such as hypertension, diabetes, and heart disease among participants, may have partially affected the outcomes of SIS domain assessments in addition to the TIAs. Furthermore, possible changes in the SIS data could not be studied over time, since the individuals were recruited at different time-points after TIA onset. Caution should also be exercised due to the low total-response rate, lack of a control group, and inclusion in the study only of survivors living in the community. Another caveat is that no objective assessments of cognitive or motor functions were performed by the medical staff, even though the use of the SIS has been well-validated in both stroke and TIA patients. Given these limitations, the assessments in the current study have been made with due caution.\nThe main strengths of the current study were the relatively large sample size and the long-term follow-up period, which made it possible to study TIA-impact differences between survivors up to 10 years after onset of TIA. On the other hand, very long-term follow-ups may also have weaknesses. The possibility that other comorbidities may have influenced SIS domains cannot be ruled out. Various comorbidities, such as hypertension, diabetes, and heart disease among participants, may have partially affected the outcomes of SIS domain assessments in addition to the TIAs. Furthermore, possible changes in the SIS data could not be studied over time, since the individuals were recruited at different time-points after TIA onset. Caution should also be exercised due to the low total-response rate, lack of a control group, and inclusion in the study only of survivors living in the community. Another caveat is that no objective assessments of cognitive or motor functions were performed by the medical staff, even though the use of the SIS has been well-validated in both stroke and TIA patients. Given these limitations, the assessments in the current study have been made with due caution.\nConclusion In conclusion, broadly perceived disabilities were demonstrated consistently and played a significant meaningful role in the everyday life and recovery of community-dwelling individuals from 6 months up to 10 years after TIA. Women and elderly people were more likely to report more disabilities. These findings indicate a need for long-term multi-professional follow-up with holistic rehabilitation interventions, including physical activity, to improve overall recovery among survivors of TIA.\nIn conclusion, broadly perceived disabilities were demonstrated consistently and played a significant meaningful role in the everyday life and recovery of community-dwelling individuals from 6 months up to 10 years after TIA. Women and elderly people were more likely to report more disabilities. These findings indicate a need for long-term multi-professional follow-up with holistic rehabilitation interventions, including physical activity, to improve overall recovery among survivors of TIA.", "The main strengths of the current study were the relatively large sample size and the long-term follow-up period, which made it possible to study TIA-impact differences between survivors up to 10 years after onset of TIA. On the other hand, very long-term follow-ups may also have weaknesses. The possibility that other comorbidities may have influenced SIS domains cannot be ruled out. Various comorbidities, such as hypertension, diabetes, and heart disease among participants, may have partially affected the outcomes of SIS domain assessments in addition to the TIAs. Furthermore, possible changes in the SIS data could not be studied over time, since the individuals were recruited at different time-points after TIA onset. Caution should also be exercised due to the low total-response rate, lack of a control group, and inclusion in the study only of survivors living in the community. Another caveat is that no objective assessments of cognitive or motor functions were performed by the medical staff, even though the use of the SIS has been well-validated in both stroke and TIA patients. Given these limitations, the assessments in the current study have been made with due caution.", "In conclusion, broadly perceived disabilities were demonstrated consistently and played a significant meaningful role in the everyday life and recovery of community-dwelling individuals from 6 months up to 10 years after TIA. Women and elderly people were more likely to report more disabilities. These findings indicate a need for long-term multi-professional follow-up with holistic rehabilitation interventions, including physical activity, to improve overall recovery among survivors of TIA." ]
[ "methods", null, null, null, null, null, null, "results", null, null, "discussion", null, null ]
[ "transient ischaemic attack", "perceived impact", "Stroke Impact Scale", "long-term outcome", "daily activity", "participation" ]
METHODS: Ethics Ethics approval was obtained from the regional Ethical Review Board in Umea, Sweden (Dnr 2016-355-32M). Written consent was obtained from all participants prior to inclusion in the study. Ethics approval was obtained from the regional Ethical Review Board in Umea, Sweden (Dnr 2016-355-32M). Written consent was obtained from all participants prior to inclusion in the study. Study design and participants This retrospective study included only individuals after their first-ever TIA. The study was conducted at the Department of Neurological Rehabilitation, University Hospital of Umeå, Sweden. All patients, 18 years or older, admitted to the Stroke Centre, University Hospital of Umeå, Sweden, between 2008 and 2018, and diagnosed with a TIA, were assessed for study eligibility. Exclusion criteria were: (i) recurrence of TIA, early stroke/TIA, or stroke after TIA; (ii) brain tumour, epilepsy, or sinus thrombus; (iii) death; and (iv) inability or unwillingness to provide written consent or answer the questionnaires. This retrospective study included only individuals after their first-ever TIA. The study was conducted at the Department of Neurological Rehabilitation, University Hospital of Umeå, Sweden. All patients, 18 years or older, admitted to the Stroke Centre, University Hospital of Umeå, Sweden, between 2008 and 2018, and diagnosed with a TIA, were assessed for study eligibility. Exclusion criteria were: (i) recurrence of TIA, early stroke/TIA, or stroke after TIA; (ii) brain tumour, epilepsy, or sinus thrombus; (iii) death; and (iv) inability or unwillingness to provide written consent or answer the questionnaires. Data collection and questionnaires The questionnaires, information about the study, and written consent were sent to all eligible participants who were 6 months to 10 years after TIA onset during the autumn of 2018. The questionnaires and signed consent were returned before the end of 2018. In cases of missing data, complementary information was collected through phone calls with patients. However, the questionnaires were re-sent to a participant if a large amount of data was missing. All participants provided written informed consent to participate in the study. Demographic data that included age, sex, and co-morbidities were obtained from patient records. The questionnaires, information about the study, and written consent were sent to all eligible participants who were 6 months to 10 years after TIA onset during the autumn of 2018. The questionnaires and signed consent were returned before the end of 2018. In cases of missing data, complementary information was collected through phone calls with patients. However, the questionnaires were re-sent to a participant if a large amount of data was missing. All participants provided written informed consent to participate in the study. Demographic data that included age, sex, and co-morbidities were obtained from patient records. Modified Rankin Scale questionnaire The Modified Rankin Scale questionnaire (mRSq) is a standardized, pragmatic, validated tool to help reliably score a person’s disability (19, 20). Five questions are answered “yes” or “no” by the patient. A scale rating from 0 (no symptoms) to 5 (total physical dependence) is then rated by following the mRSq flowchart. mRSq scores ≤ 2 are considered to represent total independence (19). The Modified Rankin Scale questionnaire (mRSq) is a standardized, pragmatic, validated tool to help reliably score a person’s disability (19, 20). Five questions are answered “yes” or “no” by the patient. A scale rating from 0 (no symptoms) to 5 (total physical dependence) is then rated by following the mRSq flowchart. mRSq scores ≤ 2 are considered to represent total independence (19). Stroke Impact Scale 3.0 The Stroke Impact Scale 3.0 (SIS) comprises 59 questions representing 8 domains: strength, memory and thinking, emotions, communication, mobility, hand function, ADL/IADL, and social participation (8). Each question is answered using the Likert scale, ranging from 1 to 5 (8, 21), with higher scores indicating better outcomes. For the strength domain, the ratings range from “no strength at all” to “a lot of strength;” for emotions and participation, choices range from “none of the time” to “all of the time;” for the remaining domains, the ratings range from “extremely difficult/cannot do at all” to “not difficult at all” (9). Also, the SIS includes a visual analogue scale, where 0 represents no perceived stroke recovery and 100 represents full recovery (8). Scores < 100 were defined as not fully recovered from the TIA. The Stroke Impact Scale 3.0 (SIS) comprises 59 questions representing 8 domains: strength, memory and thinking, emotions, communication, mobility, hand function, ADL/IADL, and social participation (8). Each question is answered using the Likert scale, ranging from 1 to 5 (8, 21), with higher scores indicating better outcomes. For the strength domain, the ratings range from “no strength at all” to “a lot of strength;” for emotions and participation, choices range from “none of the time” to “all of the time;” for the remaining domains, the ratings range from “extremely difficult/cannot do at all” to “not difficult at all” (9). Also, the SIS includes a visual analogue scale, where 0 represents no perceived stroke recovery and 100 represents full recovery (8). Scores < 100 were defined as not fully recovered from the TIA. Data presentation and statistics All data processing was conducted blinded. The data were inclusive from 6 months to 10 years after onset of TIA. To increase the statistical power for comparing SIS domain differences over time, participants were divided into 3 groups: < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA. The no-limitation percentages were calculated based on the number of full-recovery participants (SIS scores of 100) divided by the total number of participants. Age > 65 years was defined as “old,” and ≤ 65 years was defined as “young.” Since there were no significant differences in SIS domains between the 3 time-groups, all time-group participants were included when analysing the influences of age and sex on SIS domains, as well as correlations between SIS domains and ADL/IADL, participation and recovery. SIS data were converted to scores between 0 and 100 for each domain (standardized score = [(actual raw data−1)/(5−1)] × 100), where 100 represented the best condition and 0 the worst (8). Here, standardized scores between 90 and 100 in any individual domain were defined as mild/subtle impairments, limitations, and restrictions. The continuous variables in demographic characteristics and converted SIS scores were presented as mean (standard deviation; SD). The categorical variables in demographic characteristics were presented as numbers and percentages. Differences in SIS scores between the 3 time-groups were compared using an ordinary 1-way analysis of variance (ANOVA). Differences in demographic and clinical characteristics between groups were compared using an ordinary 1-way ANOVA for continuous variable data or a χ2-squared test for categorical variables. Two-group differences were compared with t-tests for independent samples. Correlations between various SIS domains and respective ADL/IADL, participation, and overall recovery were analysed with Pearson’s correlation coefficients. All participants were included in the analyses. The correlation coefficient strengths were defined as: < 0.5 = low correlation, 0.5–0.7 = moderate correlation, and > 0.7 = high correlation (22). Statistical analyses were performed using GraphPad Prism, v.8 (San Diego, CA, USA). A p-value < 0.05 was considered statistically significant. All data processing was conducted blinded. The data were inclusive from 6 months to 10 years after onset of TIA. To increase the statistical power for comparing SIS domain differences over time, participants were divided into 3 groups: < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA. The no-limitation percentages were calculated based on the number of full-recovery participants (SIS scores of 100) divided by the total number of participants. Age > 65 years was defined as “old,” and ≤ 65 years was defined as “young.” Since there were no significant differences in SIS domains between the 3 time-groups, all time-group participants were included when analysing the influences of age and sex on SIS domains, as well as correlations between SIS domains and ADL/IADL, participation and recovery. SIS data were converted to scores between 0 and 100 for each domain (standardized score = [(actual raw data−1)/(5−1)] × 100), where 100 represented the best condition and 0 the worst (8). Here, standardized scores between 90 and 100 in any individual domain were defined as mild/subtle impairments, limitations, and restrictions. The continuous variables in demographic characteristics and converted SIS scores were presented as mean (standard deviation; SD). The categorical variables in demographic characteristics were presented as numbers and percentages. Differences in SIS scores between the 3 time-groups were compared using an ordinary 1-way analysis of variance (ANOVA). Differences in demographic and clinical characteristics between groups were compared using an ordinary 1-way ANOVA for continuous variable data or a χ2-squared test for categorical variables. Two-group differences were compared with t-tests for independent samples. Correlations between various SIS domains and respective ADL/IADL, participation, and overall recovery were analysed with Pearson’s correlation coefficients. All participants were included in the analyses. The correlation coefficient strengths were defined as: < 0.5 = low correlation, 0.5–0.7 = moderate correlation, and > 0.7 = high correlation (22). Statistical analyses were performed using GraphPad Prism, v.8 (San Diego, CA, USA). A p-value < 0.05 was considered statistically significant. Ethics: Ethics approval was obtained from the regional Ethical Review Board in Umea, Sweden (Dnr 2016-355-32M). Written consent was obtained from all participants prior to inclusion in the study. Study design and participants: This retrospective study included only individuals after their first-ever TIA. The study was conducted at the Department of Neurological Rehabilitation, University Hospital of Umeå, Sweden. All patients, 18 years or older, admitted to the Stroke Centre, University Hospital of Umeå, Sweden, between 2008 and 2018, and diagnosed with a TIA, were assessed for study eligibility. Exclusion criteria were: (i) recurrence of TIA, early stroke/TIA, or stroke after TIA; (ii) brain tumour, epilepsy, or sinus thrombus; (iii) death; and (iv) inability or unwillingness to provide written consent or answer the questionnaires. Data collection and questionnaires: The questionnaires, information about the study, and written consent were sent to all eligible participants who were 6 months to 10 years after TIA onset during the autumn of 2018. The questionnaires and signed consent were returned before the end of 2018. In cases of missing data, complementary information was collected through phone calls with patients. However, the questionnaires were re-sent to a participant if a large amount of data was missing. All participants provided written informed consent to participate in the study. Demographic data that included age, sex, and co-morbidities were obtained from patient records. Modified Rankin Scale questionnaire: The Modified Rankin Scale questionnaire (mRSq) is a standardized, pragmatic, validated tool to help reliably score a person’s disability (19, 20). Five questions are answered “yes” or “no” by the patient. A scale rating from 0 (no symptoms) to 5 (total physical dependence) is then rated by following the mRSq flowchart. mRSq scores ≤ 2 are considered to represent total independence (19). Stroke Impact Scale 3.0: The Stroke Impact Scale 3.0 (SIS) comprises 59 questions representing 8 domains: strength, memory and thinking, emotions, communication, mobility, hand function, ADL/IADL, and social participation (8). Each question is answered using the Likert scale, ranging from 1 to 5 (8, 21), with higher scores indicating better outcomes. For the strength domain, the ratings range from “no strength at all” to “a lot of strength;” for emotions and participation, choices range from “none of the time” to “all of the time;” for the remaining domains, the ratings range from “extremely difficult/cannot do at all” to “not difficult at all” (9). Also, the SIS includes a visual analogue scale, where 0 represents no perceived stroke recovery and 100 represents full recovery (8). Scores < 100 were defined as not fully recovered from the TIA. Data presentation and statistics: All data processing was conducted blinded. The data were inclusive from 6 months to 10 years after onset of TIA. To increase the statistical power for comparing SIS domain differences over time, participants were divided into 3 groups: < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA. The no-limitation percentages were calculated based on the number of full-recovery participants (SIS scores of 100) divided by the total number of participants. Age > 65 years was defined as “old,” and ≤ 65 years was defined as “young.” Since there were no significant differences in SIS domains between the 3 time-groups, all time-group participants were included when analysing the influences of age and sex on SIS domains, as well as correlations between SIS domains and ADL/IADL, participation and recovery. SIS data were converted to scores between 0 and 100 for each domain (standardized score = [(actual raw data−1)/(5−1)] × 100), where 100 represented the best condition and 0 the worst (8). Here, standardized scores between 90 and 100 in any individual domain were defined as mild/subtle impairments, limitations, and restrictions. The continuous variables in demographic characteristics and converted SIS scores were presented as mean (standard deviation; SD). The categorical variables in demographic characteristics were presented as numbers and percentages. Differences in SIS scores between the 3 time-groups were compared using an ordinary 1-way analysis of variance (ANOVA). Differences in demographic and clinical characteristics between groups were compared using an ordinary 1-way ANOVA for continuous variable data or a χ2-squared test for categorical variables. Two-group differences were compared with t-tests for independent samples. Correlations between various SIS domains and respective ADL/IADL, participation, and overall recovery were analysed with Pearson’s correlation coefficients. All participants were included in the analyses. The correlation coefficient strengths were defined as: < 0.5 = low correlation, 0.5–0.7 = moderate correlation, and > 0.7 = high correlation (22). Statistical analyses were performed using GraphPad Prism, v.8 (San Diego, CA, USA). A p-value < 0.05 was considered statistically significant. RESULTS: Participant recruitment and their characteristics A total of 2,260 patients with a diagnosis of TIA were assessed for study eligibility. Of these, 481 eligible individuals consented to participate after having received written information about the study. The response rate was 26%. The most common reasons for exclusion were recurrence of TIA, early stroke/TIA, or stroke after TIA (n = 154). A final total of 299 participants, each with a first-ever TIA between 2008 and 2018 and meeting the other inclusion criteria, were recruited to participate in the study (Fig. 1). Flowchart of study inclusion process. TIA: transient ischaemic attack. Participant characteristics are summarized in Table I. Their mean age was 72 years, with more than 80% of participants older than 65 years. Males represented 56% of participants, and females 44%. Hypertension was the most common co-morbidity. Functional outcomes, assessed by the mRSq, showed that approximately 91% (271/299) of participants were independent and able to live alone without any help from other people (mRSq values 0–1), and only 9% (27/299) were dependent (mRSq values 2–5). No significant difference in mRSq was observed between females and males, or between younger and older participants (Table II). Demographic and clinical characteristics of all participants TIA: transient ischaemic attack; SD: standard deviation. Differences in various Stroke Impact Scale (SIS) domains and Modified Rankin Scale questionnaire (mRSq) score between sex and age groups Higher score in SIS domain indicates less disability. Lower mRSq score indicates good outcome. Bold numbers indicate significant differences between groups. SD: standard deviation; ADL/IADL: activities of daily living/instrumental activities of daily living. There were no statistically significant differences between the 3 time-groups (i.e. < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA) for age, sex, co-morbidities, or mRSq values (Table I). A total of 2,260 patients with a diagnosis of TIA were assessed for study eligibility. Of these, 481 eligible individuals consented to participate after having received written information about the study. The response rate was 26%. The most common reasons for exclusion were recurrence of TIA, early stroke/TIA, or stroke after TIA (n = 154). A final total of 299 participants, each with a first-ever TIA between 2008 and 2018 and meeting the other inclusion criteria, were recruited to participate in the study (Fig. 1). Flowchart of study inclusion process. TIA: transient ischaemic attack. Participant characteristics are summarized in Table I. Their mean age was 72 years, with more than 80% of participants older than 65 years. Males represented 56% of participants, and females 44%. Hypertension was the most common co-morbidity. Functional outcomes, assessed by the mRSq, showed that approximately 91% (271/299) of participants were independent and able to live alone without any help from other people (mRSq values 0–1), and only 9% (27/299) were dependent (mRSq values 2–5). No significant difference in mRSq was observed between females and males, or between younger and older participants (Table II). Demographic and clinical characteristics of all participants TIA: transient ischaemic attack; SD: standard deviation. Differences in various Stroke Impact Scale (SIS) domains and Modified Rankin Scale questionnaire (mRSq) score between sex and age groups Higher score in SIS domain indicates less disability. Lower mRSq score indicates good outcome. Bold numbers indicate significant differences between groups. SD: standard deviation; ADL/IADL: activities of daily living/instrumental activities of daily living. There were no statistically significant differences between the 3 time-groups (i.e. < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA) for age, sex, co-morbidities, or mRSq values (Table I). SIS domains More than four-fifths of participants reported emotional problems (mean value 80.6) when all time-group participants were included (Table III), and almost half reported reduced strength (mean value 84.2). More than one-third of participants reported participation restrictions (mean value 89.1) among the SIS domains even though most (78%) were living independent lives, as demonstrated by mRSq scores (Table I). Other SIS domains, including memory and thinking, communication, ADL/IADL, mobility, hand function, and recovery, were also reported to have subtle perceived difficulties (mean value > 90). No significant differences were found in all SIS domains between the 3 time-groups up to 10 years after the TIA. There were 198 participants (66.5%) who experienced full recovery after their TIAs, and their perceived disabilities were stable without significant differences between the 3 time-groups (Table III). Degree of disability presented by Stroke Impact Scale (SIS) scores (Mean (standard deviation; SD)). p-value tested by analysis of variance (ANOVA) test between 3 groups ADL/IADL: activities of daily living/instrumental activities of daily living. As shown in Table II, female participants reported significantly more emotional disabilities than male participants (p = 0.03), male participants had better hand function than females (p = 0.03), and older TIA survivors reported significantly more disabilities for strength, mobility, hand function, ADLs, and participation compared with younger survivors. The associations between ADL/IADL, participation, and overall recovery, and the other SIS domains are shown in Table IV. Perceived limitations of mobility showed moderate significant correlations between ADL/IADL (r = 0.62 and p < 0.0001) and participation (r = 0.67 and p < 0.0001). Moreover, the perceived difficulties for hand function also showed a moderate significant correlation with ADL/IADL (r = 0.55 and p < 0.0001) (Table IV), and the correlation between daily activities and participation was also moderate (r = 0.70 and p < 0.0001). The patient-reported reduced strength, limitations of memory/thinking and emotion demonstrated low, but significant, correlations with ADL/IADL and participation. The overall recovery demonstrated a significant moderate correlation with participation, while other SIS domains only showed low, but significant, correlations (Table IV). Correlations between Stroke Impact Scale (SIS) domains and activities of daily living/instrumental activities of daily living (ADL/IADL), participation and recovery All bold numbers with p-values < 0.0001. More than four-fifths of participants reported emotional problems (mean value 80.6) when all time-group participants were included (Table III), and almost half reported reduced strength (mean value 84.2). More than one-third of participants reported participation restrictions (mean value 89.1) among the SIS domains even though most (78%) were living independent lives, as demonstrated by mRSq scores (Table I). Other SIS domains, including memory and thinking, communication, ADL/IADL, mobility, hand function, and recovery, were also reported to have subtle perceived difficulties (mean value > 90). No significant differences were found in all SIS domains between the 3 time-groups up to 10 years after the TIA. There were 198 participants (66.5%) who experienced full recovery after their TIAs, and their perceived disabilities were stable without significant differences between the 3 time-groups (Table III). Degree of disability presented by Stroke Impact Scale (SIS) scores (Mean (standard deviation; SD)). p-value tested by analysis of variance (ANOVA) test between 3 groups ADL/IADL: activities of daily living/instrumental activities of daily living. As shown in Table II, female participants reported significantly more emotional disabilities than male participants (p = 0.03), male participants had better hand function than females (p = 0.03), and older TIA survivors reported significantly more disabilities for strength, mobility, hand function, ADLs, and participation compared with younger survivors. The associations between ADL/IADL, participation, and overall recovery, and the other SIS domains are shown in Table IV. Perceived limitations of mobility showed moderate significant correlations between ADL/IADL (r = 0.62 and p < 0.0001) and participation (r = 0.67 and p < 0.0001). Moreover, the perceived difficulties for hand function also showed a moderate significant correlation with ADL/IADL (r = 0.55 and p < 0.0001) (Table IV), and the correlation between daily activities and participation was also moderate (r = 0.70 and p < 0.0001). The patient-reported reduced strength, limitations of memory/thinking and emotion demonstrated low, but significant, correlations with ADL/IADL and participation. The overall recovery demonstrated a significant moderate correlation with participation, while other SIS domains only showed low, but significant, correlations (Table IV). Correlations between Stroke Impact Scale (SIS) domains and activities of daily living/instrumental activities of daily living (ADL/IADL), participation and recovery All bold numbers with p-values < 0.0001. Participant recruitment and their characteristics: A total of 2,260 patients with a diagnosis of TIA were assessed for study eligibility. Of these, 481 eligible individuals consented to participate after having received written information about the study. The response rate was 26%. The most common reasons for exclusion were recurrence of TIA, early stroke/TIA, or stroke after TIA (n = 154). A final total of 299 participants, each with a first-ever TIA between 2008 and 2018 and meeting the other inclusion criteria, were recruited to participate in the study (Fig. 1). Flowchart of study inclusion process. TIA: transient ischaemic attack. Participant characteristics are summarized in Table I. Their mean age was 72 years, with more than 80% of participants older than 65 years. Males represented 56% of participants, and females 44%. Hypertension was the most common co-morbidity. Functional outcomes, assessed by the mRSq, showed that approximately 91% (271/299) of participants were independent and able to live alone without any help from other people (mRSq values 0–1), and only 9% (27/299) were dependent (mRSq values 2–5). No significant difference in mRSq was observed between females and males, or between younger and older participants (Table II). Demographic and clinical characteristics of all participants TIA: transient ischaemic attack; SD: standard deviation. Differences in various Stroke Impact Scale (SIS) domains and Modified Rankin Scale questionnaire (mRSq) score between sex and age groups Higher score in SIS domain indicates less disability. Lower mRSq score indicates good outcome. Bold numbers indicate significant differences between groups. SD: standard deviation; ADL/IADL: activities of daily living/instrumental activities of daily living. There were no statistically significant differences between the 3 time-groups (i.e. < 1 year post-TIA, 1–5 years post-TIA, and > 5 years post-TIA) for age, sex, co-morbidities, or mRSq values (Table I). SIS domains: More than four-fifths of participants reported emotional problems (mean value 80.6) when all time-group participants were included (Table III), and almost half reported reduced strength (mean value 84.2). More than one-third of participants reported participation restrictions (mean value 89.1) among the SIS domains even though most (78%) were living independent lives, as demonstrated by mRSq scores (Table I). Other SIS domains, including memory and thinking, communication, ADL/IADL, mobility, hand function, and recovery, were also reported to have subtle perceived difficulties (mean value > 90). No significant differences were found in all SIS domains between the 3 time-groups up to 10 years after the TIA. There were 198 participants (66.5%) who experienced full recovery after their TIAs, and their perceived disabilities were stable without significant differences between the 3 time-groups (Table III). Degree of disability presented by Stroke Impact Scale (SIS) scores (Mean (standard deviation; SD)). p-value tested by analysis of variance (ANOVA) test between 3 groups ADL/IADL: activities of daily living/instrumental activities of daily living. As shown in Table II, female participants reported significantly more emotional disabilities than male participants (p = 0.03), male participants had better hand function than females (p = 0.03), and older TIA survivors reported significantly more disabilities for strength, mobility, hand function, ADLs, and participation compared with younger survivors. The associations between ADL/IADL, participation, and overall recovery, and the other SIS domains are shown in Table IV. Perceived limitations of mobility showed moderate significant correlations between ADL/IADL (r = 0.62 and p < 0.0001) and participation (r = 0.67 and p < 0.0001). Moreover, the perceived difficulties for hand function also showed a moderate significant correlation with ADL/IADL (r = 0.55 and p < 0.0001) (Table IV), and the correlation between daily activities and participation was also moderate (r = 0.70 and p < 0.0001). The patient-reported reduced strength, limitations of memory/thinking and emotion demonstrated low, but significant, correlations with ADL/IADL and participation. The overall recovery demonstrated a significant moderate correlation with participation, while other SIS domains only showed low, but significant, correlations (Table IV). Correlations between Stroke Impact Scale (SIS) domains and activities of daily living/instrumental activities of daily living (ADL/IADL), participation and recovery All bold numbers with p-values < 0.0001. DISCUSSION: Using the SIS, this study demonstrated that patient-reported disabilities mostly involved emotion, strength, and participation, whereas only subtle perceived difficulties were found for memory/thinking, mobility, hand function, and communication among community-dwelling individuals after TIA. These perceived disabilities remained stable, with a similar prevalence from 6 months to 10 years after TIA. Women reported significantly more disabilities for emotion and hand function, while elderly subjects (age > 65 years) reported more disabilities for strength, mobility, hand function, ADL/IADL, and participation. The ADL, participation, and overall recovery demonstrated significant, although low-to-moderate, associations with other SIS domains after TIA. Emotional problems were the most common patient-reported disability by almost four-fifths of the participants during the 10-year range of follow-ups in the study. The current results confirmed those of previous studies, in which TIA increased psychological impairments 6–48 months after TIA onset (4, 23, 24). Meanwhile, the current data extend the time course for perceived emotional problems up to 10 years after TIA. This indicates that a TIA may cause emotional problems long after its onset among community-dwelling individuals (25). Compared with the male TIA participants, female participants reported significantly more emotional difficulties no matter their age. This is in line with a previous study, in which female stroke survivors experienced more emotional difficulties than men (26), which implies that the sex difference regarding the emotional issue may occur because women express their emotional issues better than men. The current findings indicate that more attention should be paid to emotional issues among TIA survivors, since a TIA increases the vulnerability to late-life emotional difficulties. Even though a TIA does not, by definition, result in permanent motor impairments, reduced strength was the second-most perceived impairment among more than 40% of participants up to 10 years post-TIA. This finding confirms and extends the time-course for reduced strength reported at 12 months after TIA (27). Together with undiagnosed minor stroke and reduced physical activity (27), the reduced strength may partly contribute to mobility limitations reported by one-third of participants, mostly the elderly participants, in the current study. These results suggest that long-term rehabilitation focusing on physical activity is needed to improve motor impairment and to delimitate their long-term negative impacts on daily life among individuals after a TIA, especially among elderly subjects. More than 90% of participants lived independently (mRSq values 0–1), with only 20% having subtle ADL/IADL limitations. This is not surprising, since previous studies have reported that the majority of TIA survivors are generally independent in their ADL/IADL (4, 5, 7, 28). Despite the high level of independence, more than one-third of participants reported participation restrictions without full recovery after TIA, especially among elderly subjects. These results indicate that one-third of individuals after TIA may struggle with more complex activities, including various family, social, and work situations, although they live an independent life. Furthermore, the self-reported participation restrictions demonstrated more association with the perception of incomplete recovery than the other SIS domains. This is consistent with the finding among persons after stroke, who consider social participation as a major aspect of their recovery (29). The results of the current study imply a need for rehabilitation interventions focusing on participation issues among TIA survivors for improving their recovery (30). The current study demonstrates that elderly subjects (age > 65 years), no matter their sex, report more disabilities for strength, mobility, hand function, ADL/IADL, and social participation. This indicates that higher age is a potential risk factor for the deterioration of outcomes after a TIA. In addition, the limitations on mobility and hand function were moderately related to limitations of ADL/IADL. This, again, emphasizes the importance of physical activity for a person after a TIA. Moreover, impairment of strength, limitations on memory and thinking, emotion, and communication also demonstrated weak, but significant, associations with limitations of ADL/IADL tasks and participation restrictions. The present findings suggest that the various subtle disabilities after TIA may play a significant meaningful role in everyday life and recovery from 6 months to 10 years after onset of TIA. Consistent with similar findings among stroke patients (13–15), the current data indicate that a multi-professional follow-up using holistic rehabilitation may be required to reduce these negative consequences on ADL/IADL, participation, and to improve overall recovery (31). To date, however, there have been no clinically routine rehabilitation interventions provided to TIA survivors in Sweden. Study strengths and limitations The main strengths of the current study were the relatively large sample size and the long-term follow-up period, which made it possible to study TIA-impact differences between survivors up to 10 years after onset of TIA. On the other hand, very long-term follow-ups may also have weaknesses. The possibility that other comorbidities may have influenced SIS domains cannot be ruled out. Various comorbidities, such as hypertension, diabetes, and heart disease among participants, may have partially affected the outcomes of SIS domain assessments in addition to the TIAs. Furthermore, possible changes in the SIS data could not be studied over time, since the individuals were recruited at different time-points after TIA onset. Caution should also be exercised due to the low total-response rate, lack of a control group, and inclusion in the study only of survivors living in the community. Another caveat is that no objective assessments of cognitive or motor functions were performed by the medical staff, even though the use of the SIS has been well-validated in both stroke and TIA patients. Given these limitations, the assessments in the current study have been made with due caution. The main strengths of the current study were the relatively large sample size and the long-term follow-up period, which made it possible to study TIA-impact differences between survivors up to 10 years after onset of TIA. On the other hand, very long-term follow-ups may also have weaknesses. The possibility that other comorbidities may have influenced SIS domains cannot be ruled out. Various comorbidities, such as hypertension, diabetes, and heart disease among participants, may have partially affected the outcomes of SIS domain assessments in addition to the TIAs. Furthermore, possible changes in the SIS data could not be studied over time, since the individuals were recruited at different time-points after TIA onset. Caution should also be exercised due to the low total-response rate, lack of a control group, and inclusion in the study only of survivors living in the community. Another caveat is that no objective assessments of cognitive or motor functions were performed by the medical staff, even though the use of the SIS has been well-validated in both stroke and TIA patients. Given these limitations, the assessments in the current study have been made with due caution. Conclusion In conclusion, broadly perceived disabilities were demonstrated consistently and played a significant meaningful role in the everyday life and recovery of community-dwelling individuals from 6 months up to 10 years after TIA. Women and elderly people were more likely to report more disabilities. These findings indicate a need for long-term multi-professional follow-up with holistic rehabilitation interventions, including physical activity, to improve overall recovery among survivors of TIA. In conclusion, broadly perceived disabilities were demonstrated consistently and played a significant meaningful role in the everyday life and recovery of community-dwelling individuals from 6 months up to 10 years after TIA. Women and elderly people were more likely to report more disabilities. These findings indicate a need for long-term multi-professional follow-up with holistic rehabilitation interventions, including physical activity, to improve overall recovery among survivors of TIA. Study strengths and limitations: The main strengths of the current study were the relatively large sample size and the long-term follow-up period, which made it possible to study TIA-impact differences between survivors up to 10 years after onset of TIA. On the other hand, very long-term follow-ups may also have weaknesses. The possibility that other comorbidities may have influenced SIS domains cannot be ruled out. Various comorbidities, such as hypertension, diabetes, and heart disease among participants, may have partially affected the outcomes of SIS domain assessments in addition to the TIAs. Furthermore, possible changes in the SIS data could not be studied over time, since the individuals were recruited at different time-points after TIA onset. Caution should also be exercised due to the low total-response rate, lack of a control group, and inclusion in the study only of survivors living in the community. Another caveat is that no objective assessments of cognitive or motor functions were performed by the medical staff, even though the use of the SIS has been well-validated in both stroke and TIA patients. Given these limitations, the assessments in the current study have been made with due caution. Conclusion: In conclusion, broadly perceived disabilities were demonstrated consistently and played a significant meaningful role in the everyday life and recovery of community-dwelling individuals from 6 months up to 10 years after TIA. Women and elderly people were more likely to report more disabilities. These findings indicate a need for long-term multi-professional follow-up with holistic rehabilitation interventions, including physical activity, to improve overall recovery among survivors of TIA.
Background: The long-term impact of transient ischaemic attack is largely unknown. Methods: A retrospective study among adult community-dwelling individuals from 6 months up to 10 years after onset of transient ischaemic attack. A total of 299 survivors of transient ischaemic attack responded to the SIS. Results: Most self-reported disabilities involved emotion, strength, and participation domains of SIS and remained stable until 10 years post-transient ischaemic attack. Women reported significantly more disabilities for emotion and hand function. Elderly subjects (age > 65 years) reported more disabilities for strength, mobility, hand function, activities of daily living/instrumental activities of daily living, and participation. The activities of daily living/instrumental activities of daily living, participation, and overall recovery demonstrated significant, although low-to-moderate, associations with other SIS domains after transient ischaemic attack. Conclusions: The broadly perceived disabilities were demonstrated consistently and played a significant meaningful role in everyday life and recovery among community-dwelling individuals up to 10 years after a transient ischaemic attack. These findings indicate the need for long-term multi-professional follow-up with holistic rehabilitation to improve overall recovery among survivors of transient ischaemic attack.
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7,502
236
[ 38, 123, 112, 84, 179, 429, 384, 502, 225, 81 ]
13
[ "tia", "sis", "participants", "study", "years", "participation", "domains", "recovery", "significant", "adl" ]
[ "stroke tia patients", "sis validated stroke", "older admitted stroke", "disability presented stroke", "persons stroke consider" ]
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[CONTENT] transient ischaemic attack | perceived impact | Stroke Impact Scale | long-term outcome | daily activity | participation [SUMMARY]
[CONTENT] transient ischaemic attack | perceived impact | Stroke Impact Scale | long-term outcome | daily activity | participation [SUMMARY]
[CONTENT] transient ischaemic attack | perceived impact | Stroke Impact Scale | long-term outcome | daily activity | participation [SUMMARY]
[CONTENT] transient ischaemic attack | perceived impact | Stroke Impact Scale | long-term outcome | daily activity | participation [SUMMARY]
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[CONTENT] Activities of Daily Living | Aged | Disabled Persons | Female | Humans | Ischemic Attack, Transient | Male | Retrospective Studies | Time Factors [SUMMARY]
[CONTENT] Activities of Daily Living | Aged | Disabled Persons | Female | Humans | Ischemic Attack, Transient | Male | Retrospective Studies | Time Factors [SUMMARY]
[CONTENT] Activities of Daily Living | Aged | Disabled Persons | Female | Humans | Ischemic Attack, Transient | Male | Retrospective Studies | Time Factors [SUMMARY]
[CONTENT] Activities of Daily Living | Aged | Disabled Persons | Female | Humans | Ischemic Attack, Transient | Male | Retrospective Studies | Time Factors [SUMMARY]
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[CONTENT] stroke tia patients | sis validated stroke | older admitted stroke | disability presented stroke | persons stroke consider [SUMMARY]
[CONTENT] stroke tia patients | sis validated stroke | older admitted stroke | disability presented stroke | persons stroke consider [SUMMARY]
[CONTENT] stroke tia patients | sis validated stroke | older admitted stroke | disability presented stroke | persons stroke consider [SUMMARY]
[CONTENT] stroke tia patients | sis validated stroke | older admitted stroke | disability presented stroke | persons stroke consider [SUMMARY]
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[CONTENT] tia | sis | participants | study | years | participation | domains | recovery | significant | adl [SUMMARY]
[CONTENT] tia | sis | participants | study | years | participation | domains | recovery | significant | adl [SUMMARY]
[CONTENT] tia | sis | participants | study | years | participation | domains | recovery | significant | adl [SUMMARY]
[CONTENT] tia | sis | participants | study | years | participation | domains | recovery | significant | adl [SUMMARY]
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[CONTENT] data | sis | 100 | scores | tia | participants | defined | scale | consent | correlation [SUMMARY]
[CONTENT] table | participants | reported | significant | daily | activities | tia | sis | participation | mrsq [SUMMARY]
[CONTENT] disabilities | recovery | life | community dwelling individuals months | tia women elderly people | community dwelling | holistic | holistic rehabilitation | holistic rehabilitation interventions | holistic rehabilitation interventions including [SUMMARY]
[CONTENT] tia | sis | participants | study | recovery | participation | mrsq | data | years | domains [SUMMARY]
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[CONTENT] 6 months ||| 299 | SIS [SUMMARY]
[CONTENT] SIS | 10 years ||| ||| 65 years | daily | daily ||| daily | daily [SUMMARY]
[CONTENT] up to 10 years ||| [SUMMARY]
[CONTENT] ||| 6 months ||| 299 | SIS ||| SIS | 10 years ||| ||| 65 years | daily | daily ||| daily | daily ||| up to 10 years ||| [SUMMARY]
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Suprachoroidal hemorrhage associated with pars plana vitrectomy.
34380451
Retrospective case series study, not applicable.
TRIAL REGISTRATION
Cases of SCH associated with PPV excluding trauma were retrospectively analyzed in Beijing Tongren Hospital between January 2010 and June 2020. The data collected included general data, myopia status, axial length, state of the crystalline lens, SCH onset time, range, treatment method, visual prognosis, and methods of operation and anesthesia. Patients were divided into those with SCH related to the first PPV (Group 1), and SCH related to second intraocular surgery in the vitrectomized eye (Group 2). Patients were also classified by the SCH onset time into either the expulsive suprachoroidal hemorrhage group (ESCH) and the delayed suprachoroidal hemorrhage group (DSCH). The general data, related risk factors, and the visual prognosis of SCH in the different groups were analyzed.
METHODS
SCH associated with PPV was studied in 28 cases with an incidence of 0.06 %; 16 males and 12 females. The mean age of the patients was (53.51 ± 10.21) years old, the mean follow-up time was (24.94 ± 14.60) days, and the mean axial length was (28.21 ± 3.14) mm. Of these cases, 21 were classified as high myopia, 25 as aphakia/ pseudophakic, and 7 as focal hemorrhage. Silicone oil removal occurred in 12 cases (43 %). Patients in Group 2 were younger than Group 1 (P = 0.005). In terms of treatment and prognosis, 5 eyes were simply closely observed, 4 were given single suprachoroidal drainage, 15 were given suprachoroidal drainage combined with silicone tamponade, 2 underwent anterior chamber puncture, and 2 gave up treatment. A follow-up vision: NLP ~ 20/30; among them, 2 eyes with NLP (7.14 %), 6 of ≥ 20/200 (21.43 %). The final outcomes presented a significantly positive correlation with baseline vision but no significant correlation with age or axial length.
RESULTS
SCH has a higher incidence rate after a second intraocular surgery in a vitrectomized eye which is associated with the lack of vitreous support and easier fluctuation of intraocular pressure. SCH associated with PPV is more localized and has a relatively good prognosis; high myopia and aphakic/ pseudophakic eyes are risk factors. Active treatment can effectively improve visual prognosis.
CONCLUSIONS
[ "Adult", "Choroid Hemorrhage", "Female", "Humans", "Intraocular Pressure", "Male", "Middle Aged", "Retinal Detachment", "Retrospective Studies", "Visual Acuity", "Vitrectomy" ]
8356403
Background
Suprachoroidal hemorrhage (SCH) is a rare but serious threat to vision, and is one of the most severe complications during or after intraocular surgery [1]. According to onset time, SCH can be divided into intraoperative expulsive suprachoroidal hemorrhage (ESCH) and post-operative delayed suprachoroidal hemorrhage (DSCH) [2]. According to the hemorrhage range, SCH can be divided into focal or diffuse SCH [3]. Blood in the suprachoroidal space can infiltrate the inferior retina, vitreous body, and anterior chambers, causing severe damage to the functioning of ocular tissue, retinal proliferation, and tractional retinal detachment, resulting in complete loss of vision. Furthermore, massive SCH for an extended period can cause cyclodialysis and functional loss of the ciliary body, leading to eventual eyeball atrophy [4, 5]. The incidence rate of SCH varies with different procedures, while the related risk factors and prognosis are also slightly different. As previously reported in the literature, the incidence rate of SCH in vitreous and retinal surgeries is 0.09–4.3 % [6–8]. However, there are few reports of SCH associated with pars plana vitrectomy (PPV), or SCH related to second intraocular surgery in vitrectomized eyes. Herein we have summarized and analyzed cases of SCH associated with PPV from the last 10 years, including the related risk factors and prognosis.
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Results
General patient data Among the 48 654 patients who underwent PPV in our hospital in the past 10 years, 28 patients with SCH were selected (an incidence of 0.06 %). The patients included 16 males and 12 females, with a mean age of (53.51 ± 10.21) years old and a mean follow-up time of (24.94 ± 14.60) days. Among them, 10 cases had other medical conditions, 1 had a medical history of anticoagulant drug use, and 21 had high myopia with a mean axial length of (28.21 ± 3.14) mm. Regarding the state of the crystalline lens, 3 had phakic eyes, 9 aphakic eyes, and 16 pseudophakic eyes (see Table 1 for more details). Indications of first PPV in our study included 17 cases of rhegmatogenous retinal detachment, 1 case of traction retinal detachment, 4 cases of vitreous hemorrhage, 4 cases of IOL dislocation, 1 case of macular hole, and 1 case of a vitreous foreign body ( Fig. 1). Except for 6 cases of cataract and glaucoma after vitrectomy, the other 22 cases were treated with posterior perfusion including 15 of 20G and 7 of 23G. After SCH occurrence, 2 cases were left with perfluorocarbon liquid, 3 patients with silicone oil, and 17 patients with perfusion fluid. Table 1General data of SCH associated with PPVTotal number of eyes (n)28Total number of patients (n)28Male: Female16:12Mean age (y)53.51 ± 10.21Follow-up time (d)24.94 ± 14.60Anticoagulant drug use1: 27High myopia21: 7Mean axial length (mm)28.21 ± 3.14State of crystalline lens Phakic eyes3 Aphakic eyes9 Pseudophakic eyes16local anesthesia: general anesthesia24: 4ESCH: DSCH24: 4Focal SCH: Diffuse SCH7: 21Fig. 1Indications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body General data of SCH associated with PPV Indications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body Among the 48 654 patients who underwent PPV in our hospital in the past 10 years, 28 patients with SCH were selected (an incidence of 0.06 %). The patients included 16 males and 12 females, with a mean age of (53.51 ± 10.21) years old and a mean follow-up time of (24.94 ± 14.60) days. Among them, 10 cases had other medical conditions, 1 had a medical history of anticoagulant drug use, and 21 had high myopia with a mean axial length of (28.21 ± 3.14) mm. Regarding the state of the crystalline lens, 3 had phakic eyes, 9 aphakic eyes, and 16 pseudophakic eyes (see Table 1 for more details). Indications of first PPV in our study included 17 cases of rhegmatogenous retinal detachment, 1 case of traction retinal detachment, 4 cases of vitreous hemorrhage, 4 cases of IOL dislocation, 1 case of macular hole, and 1 case of a vitreous foreign body ( Fig. 1). Except for 6 cases of cataract and glaucoma after vitrectomy, the other 22 cases were treated with posterior perfusion including 15 of 20G and 7 of 23G. After SCH occurrence, 2 cases were left with perfluorocarbon liquid, 3 patients with silicone oil, and 17 patients with perfusion fluid. Table 1General data of SCH associated with PPVTotal number of eyes (n)28Total number of patients (n)28Male: Female16:12Mean age (y)53.51 ± 10.21Follow-up time (d)24.94 ± 14.60Anticoagulant drug use1: 27High myopia21: 7Mean axial length (mm)28.21 ± 3.14State of crystalline lens Phakic eyes3 Aphakic eyes9 Pseudophakic eyes16local anesthesia: general anesthesia24: 4ESCH: DSCH24: 4Focal SCH: Diffuse SCH7: 21Fig. 1Indications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body General data of SCH associated with PPV Indications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body Pathogenesis of PPV-related SCH Of the patients studied, 8 showed SCH related to the first PPV, and 20 were related to the second intraocular surgery in vitrectomized eyes (71.43 %). Among them, silicone oil removal resulted in the highest occurrence of SCH, with 12 cases (43 %), 7 of which occurred during the first PPV (25 %), 3 during IOL suspension after PPV, 1 during IOL removal after PPV, 1 during cataract surgery after PPV, 1 after first PPV, 2 in post-cataract surgery after PPV, and 1 in post glaucoma surgery after PPV (see Fig. 2). Fig. 2Pathogenesis of SCH associated with PPV Pathogenesis of SCH associated with PPV Of the patients studied, 8 showed SCH related to the first PPV, and 20 were related to the second intraocular surgery in vitrectomized eyes (71.43 %). Among them, silicone oil removal resulted in the highest occurrence of SCH, with 12 cases (43 %), 7 of which occurred during the first PPV (25 %), 3 during IOL suspension after PPV, 1 during IOL removal after PPV, 1 during cataract surgery after PPV, 1 after first PPV, 2 in post-cataract surgery after PPV, and 1 in post glaucoma surgery after PPV (see Fig. 2). Fig. 2Pathogenesis of SCH associated with PPV Pathogenesis of SCH associated with PPV Comparison of SCH between first PPV group and second intraocular surgery in vitrectomized eyes group (see Table 2 for more details) Table 2Comparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes groupSCH related to first PPV group (8 cases)SCH related to second intraocular surgery in vitrectomized eyes group (20 cases)P-valueMale: Female2: 613: 70.096Age (y)61.88 ± 8.7150.55 ± 8.900.008Mean axial length (mm)27.70 ± 3.4728.09 ± 3.150.786Hemorrhage range (focal: diffuse)2: 65: 150.096Hemoorhage duration (ESCH: DSCH)7: 117: 31.000Baseline VA1.73 ± 0.591.74 ± 0.640.968Final VA1.48 ± 0.831.97 ± 0.740.174 Comparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes group Eight patients were included in Group 1, with 2 males and 6 females, with a mean age of (61.88 ± 8.71) years and a mean axial length of (27.70 ± 3.47) mm. Twenty cases were included in Group 2, with 13 males and 7 females, a mean age of (50.55 ± 8.90) years, and a mean axial length of (28.09 ± 3.15) mm. A chi-squared test was applied for sex on both groups, with P = 0.096, thus showing no statistical significance. An independent-samples t-test was used for age, with P = 0.008, showing statistical significance. The latter was also applied in the analysis of axial length, with P = 0.786, showing no statistical significance. The baseline vision was 1.73 ± 0.59 in Group 1 and 1.74 ± 0.64 in Group 2, with P = 0.968 using the independent-sample t-test. The final vision was 1.48 ± 0.83 in Group 1 and 1.97 ± 0.74 in Group 2, with P = 0.174, showing no statistical significance. There were 2 cases of focal hemorrhage and 6 cases of diffuse hemorrhage in Group 1, while 5 focal and 15 diffuse hemorrhages occurred in Group 2, with a chi-squared test indicating that there was no statistically significant difference (P = 0.096). There were 7 cases of ESCH and 1 of DSCH in Group 1, while 17 ESCH and 3 DSCH occurred in Group 2 with a chi-squared test presenting no statistically significant difference (P = 1.00). Table 2Comparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes groupSCH related to first PPV group (8 cases)SCH related to second intraocular surgery in vitrectomized eyes group (20 cases)P-valueMale: Female2: 613: 70.096Age (y)61.88 ± 8.7150.55 ± 8.900.008Mean axial length (mm)27.70 ± 3.4728.09 ± 3.150.786Hemorrhage range (focal: diffuse)2: 65: 150.096Hemoorhage duration (ESCH: DSCH)7: 117: 31.000Baseline VA1.73 ± 0.591.74 ± 0.640.968Final VA1.48 ± 0.831.97 ± 0.740.174 Comparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes group Eight patients were included in Group 1, with 2 males and 6 females, with a mean age of (61.88 ± 8.71) years and a mean axial length of (27.70 ± 3.47) mm. Twenty cases were included in Group 2, with 13 males and 7 females, a mean age of (50.55 ± 8.90) years, and a mean axial length of (28.09 ± 3.15) mm. A chi-squared test was applied for sex on both groups, with P = 0.096, thus showing no statistical significance. An independent-samples t-test was used for age, with P = 0.008, showing statistical significance. The latter was also applied in the analysis of axial length, with P = 0.786, showing no statistical significance. The baseline vision was 1.73 ± 0.59 in Group 1 and 1.74 ± 0.64 in Group 2, with P = 0.968 using the independent-sample t-test. The final vision was 1.48 ± 0.83 in Group 1 and 1.97 ± 0.74 in Group 2, with P = 0.174, showing no statistical significance. There were 2 cases of focal hemorrhage and 6 cases of diffuse hemorrhage in Group 1, while 5 focal and 15 diffuse hemorrhages occurred in Group 2, with a chi-squared test indicating that there was no statistically significant difference (P = 0.096). There were 7 cases of ESCH and 1 of DSCH in Group 1, while 17 ESCH and 3 DSCH occurred in Group 2 with a chi-squared test presenting no statistically significant difference (P = 1.00). Comparison between ESCH and DSCH (See Table 3 for more details) Table 3Comparison of ESCH and DSCHESCH group (24 cases)DSCH (4 cases)P-valueMale: Female12: 123: 10.600Age (y)54.29 ± 9.6550.75 ± 13.940.654Mean axial length (mm)28.10 ± 3.1127.27 ± 4.040.729Hemorrhage range (focal: diffuse)6: 181: 31.000Baseline VA1.73 ± 0.551.78 ± 1.040.927Final VA1.85 ± 0.771.71 ± 1.000.792 Comparison of ESCH and DSCH With regards to PPV-related cases, the incidence rate of ESCH was significantly greater (24 patients, 85.71 %) than for DSCH (4 patients, 14.29 %). In the ESCH group, 12 were male and 12 were female, with a mean age of (54.29 ± 9.65) years, and a mean axial length of (28.10 ± 3.11) mm. In comparison, the DSCH group included 3 males and 1 female, with a mean age of (50.75 ± 13.94) years and a mean axial length of (27.27 ± 4.04) mm. The influence of sex in both groups was analyzed using the chi-squared test (P = 0.60) and age was analyzed by an independent-sample t-test (P = 0.654), both of which showed no statistically significant differences. The baseline vision was 1.73 ± 0.55 in the ESCH group and 1.78 ± 1.04 in the DSCH group, and the final vision outcome was 1.85 ± 0.77 in the ESCH group and 1.71 ± 1.00 in the DSCH group. These differences were not significant, as shown by the independent-sample t-test (P = 0.927 and P = 0.792 for the baseline vision and final vision, respectively). There were 6 cases of focal and 18 of diffuse hemorrhages in the ESCH group, compared with 1 focal and 3 diffuse hemorrhages in the DSCH group. A chi-squared test indicated that there was no statistically significant difference (P = 1.00). Table 3Comparison of ESCH and DSCHESCH group (24 cases)DSCH (4 cases)P-valueMale: Female12: 123: 10.600Age (y)54.29 ± 9.6550.75 ± 13.940.654Mean axial length (mm)28.10 ± 3.1127.27 ± 4.040.729Hemorrhage range (focal: diffuse)6: 181: 31.000Baseline VA1.73 ± 0.551.78 ± 1.040.927Final VA1.85 ± 0.771.71 ± 1.000.792 Comparison of ESCH and DSCH With regards to PPV-related cases, the incidence rate of ESCH was significantly greater (24 patients, 85.71 %) than for DSCH (4 patients, 14.29 %). In the ESCH group, 12 were male and 12 were female, with a mean age of (54.29 ± 9.65) years, and a mean axial length of (28.10 ± 3.11) mm. In comparison, the DSCH group included 3 males and 1 female, with a mean age of (50.75 ± 13.94) years and a mean axial length of (27.27 ± 4.04) mm. The influence of sex in both groups was analyzed using the chi-squared test (P = 0.60) and age was analyzed by an independent-sample t-test (P = 0.654), both of which showed no statistically significant differences. The baseline vision was 1.73 ± 0.55 in the ESCH group and 1.78 ± 1.04 in the DSCH group, and the final vision outcome was 1.85 ± 0.77 in the ESCH group and 1.71 ± 1.00 in the DSCH group. These differences were not significant, as shown by the independent-sample t-test (P = 0.927 and P = 0.792 for the baseline vision and final vision, respectively). There were 6 cases of focal and 18 of diffuse hemorrhages in the ESCH group, compared with 1 focal and 3 diffuse hemorrhages in the DSCH group. A chi-squared test indicated that there was no statistically significant difference (P = 1.00). Analysis of SCH treatment, vision outcome, and vision-related factors With regards to SCH, 5 patients were simply observed, 4 were given single suprachoroidal drainage, 15 were given suprachoroidal drainage combined with silicone tamponade, 2 underwent anterior chamber puncture, and 2 abandoned treatment. One patient underwent a single suprachoroidal drainage and was injected with rt-PA (recombinant tissue plasminogen activator, rt-PA) in the suprachoroidal space on the fourth day after the occurrence of DSCH and drained after 4 h (see Case 2 for further details). Patients were followed up and the final corrected vision was seen to be: no light perception (NLP) ~ 20/30; among them, 2 eyes showed NLP (7.14 %), 16 could detect hand motions (HM) to light perception (LP), 4 could count fingers (CF) ~ 20/400, and 6 of index ≥ 20/200 (21.43 %) (See Table 4 for details). The final vision was significantly positively correlated with the baseline vision (r = 0.545, P = 0.000), but not significantly correlated with age (r=-0.113, P = 0.427) or axial length (r = 0.073, P = 0.611). Table 4Analysis of treatment in SCH, vision outcomeTreatment in SCHNumber Observe5 Suprachoroidal drainage4 Suprachoroidal drainage combining silicone tamponade15 Anterior chamber puncture2 Abandon2Visual outcomeNumber NLP2(7.14 %) LP ~ HM16(57.14 %) CF ~ 20/4004(14.28 %) ≧ 20/2006(21.43 %) Analysis of treatment in SCH, vision outcome With regards to SCH, 5 patients were simply observed, 4 were given single suprachoroidal drainage, 15 were given suprachoroidal drainage combined with silicone tamponade, 2 underwent anterior chamber puncture, and 2 abandoned treatment. One patient underwent a single suprachoroidal drainage and was injected with rt-PA (recombinant tissue plasminogen activator, rt-PA) in the suprachoroidal space on the fourth day after the occurrence of DSCH and drained after 4 h (see Case 2 for further details). Patients were followed up and the final corrected vision was seen to be: no light perception (NLP) ~ 20/30; among them, 2 eyes showed NLP (7.14 %), 16 could detect hand motions (HM) to light perception (LP), 4 could count fingers (CF) ~ 20/400, and 6 of index ≥ 20/200 (21.43 %) (See Table 4 for details). The final vision was significantly positively correlated with the baseline vision (r = 0.545, P = 0.000), but not significantly correlated with age (r=-0.113, P = 0.427) or axial length (r = 0.073, P = 0.611). Table 4Analysis of treatment in SCH, vision outcomeTreatment in SCHNumber Observe5 Suprachoroidal drainage4 Suprachoroidal drainage combining silicone tamponade15 Anterior chamber puncture2 Abandon2Visual outcomeNumber NLP2(7.14 %) LP ~ HM16(57.14 %) CF ~ 20/4004(14.28 %) ≧ 20/2006(21.43 %) Analysis of treatment in SCH, vision outcome In-depth analysis of two specific cases of SCH Case 1: patient was a 57-year-old male, with a past medical history of hypertension, heart disease, heart stenting, and oral anticoagulant drug treatment (warfarin was stopped five days before surgery and replaced by low-molecular-weight heparin sodium injection). The patient was given PPV combing IOL removal under general anesthesia due to IOL dislocating to the vitreous space. During PPV, ESCH occurred which was found to be diffuse SCH and was observed with medication. After four months, the patient’s vision was 20/30 with a flat fundus (Fig. 3). Fig. 3Fundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat Fundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat Case 2: patient was a 46-year-old male who had swelling with pain in the right eye for three hours after the second IOL ciliary sulcus implantation in a vitrectomized eye. The patient had previously received PPV and foreign body removal from the right eye two months before. The vision was LP and the intraocular pressure was 41 mmHg, with diffuse SCH involving the posterior pole with local retinal detachment but no retinal hole. The kissing sign could be seen on ultrasound examination. As no significant change occurred after four days, the patient was given a rt-PA injection in the suprachoroidal space and single suprachoroidal drainage was performed. Three days after drainage, the patient’s vision was 20/60 with an intraocular pressure of 8 mmHg, and a bulge was only seen in the upper choroid. Reexamination was carried out two months after surgery at which time the patient’s vision was 20/30 and both the fundus retina and choroid were flat (Fig. 4). Fig. 4Fundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid Fundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid Case 1: patient was a 57-year-old male, with a past medical history of hypertension, heart disease, heart stenting, and oral anticoagulant drug treatment (warfarin was stopped five days before surgery and replaced by low-molecular-weight heparin sodium injection). The patient was given PPV combing IOL removal under general anesthesia due to IOL dislocating to the vitreous space. During PPV, ESCH occurred which was found to be diffuse SCH and was observed with medication. After four months, the patient’s vision was 20/30 with a flat fundus (Fig. 3). Fig. 3Fundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat Fundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat Case 2: patient was a 46-year-old male who had swelling with pain in the right eye for three hours after the second IOL ciliary sulcus implantation in a vitrectomized eye. The patient had previously received PPV and foreign body removal from the right eye two months before. The vision was LP and the intraocular pressure was 41 mmHg, with diffuse SCH involving the posterior pole with local retinal detachment but no retinal hole. The kissing sign could be seen on ultrasound examination. As no significant change occurred after four days, the patient was given a rt-PA injection in the suprachoroidal space and single suprachoroidal drainage was performed. Three days after drainage, the patient’s vision was 20/60 with an intraocular pressure of 8 mmHg, and a bulge was only seen in the upper choroid. Reexamination was carried out two months after surgery at which time the patient’s vision was 20/30 and both the fundus retina and choroid were flat (Fig. 4). Fig. 4Fundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid Fundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid
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[ "Background", "Methods", "Patients", "Methods", "Statistical analysis", "General patient data", "Pathogenesis of PPV-related SCH", "Comparison of SCH between first PPV group and second intraocular surgery in vitrectomized eyes group (see Table 2 for more details)", "Comparison between ESCH and DSCH (See Table 3 for more details)", "Analysis of SCH treatment, vision outcome, and vision-related factors", "In-depth analysis of two specific cases of SCH" ]
[ "Suprachoroidal hemorrhage (SCH) is a rare but serious threat to vision, and is one of the most severe complications during or after intraocular surgery [1]. According to onset time, SCH can be divided into intraoperative expulsive suprachoroidal hemorrhage (ESCH) and post-operative delayed suprachoroidal hemorrhage (DSCH) [2]. According to the hemorrhage range, SCH can be divided into focal or diffuse SCH [3]. Blood in the suprachoroidal space can infiltrate the inferior retina, vitreous body, and anterior chambers, causing severe damage to the functioning of ocular tissue, retinal proliferation, and tractional retinal detachment, resulting in complete loss of vision. Furthermore, massive SCH for an extended period can cause cyclodialysis and functional loss of the ciliary body, leading to eventual eyeball atrophy [4, 5].\nThe incidence rate of SCH varies with different procedures, while the related risk factors and prognosis are also slightly different. As previously reported in the literature, the incidence rate of SCH in vitreous and retinal surgeries is 0.09–4.3 % [6–8]. However, there are few reports of SCH associated with pars plana vitrectomy (PPV), or SCH related to second intraocular surgery in vitrectomized eyes. Herein we have summarized and analyzed cases of SCH associated with PPV from the last 10 years, including the related risk factors and prognosis.", "Patients We retrospectively analyzed 48 654 patients with PPV treated in Beijing Tongren Hospital between January 2010 and June 2020. Of these, 28 cases were associated with SCH. Patients with eye trauma-related SCH were excluded. This study complied with the guidelines of the Declaration of Helsinki.\nGeneral data were collected, including sex, age, full medical history, anticoagulant use, condition of the eyes including past surgery, presence of high myopia, axial length, state of the crystalline lens, onset time of SCH, hemorrhage range, treatment method, visual prognosis, and surgery-related factors including the methods of operation and anesthesia. In all cases, vision was assessed using a Snellen chart and was converted to the logarithm of the minimum angle of resolution (LogMAR) VA for computational purposes. The following LogMAR cutoffs were used for non-numeric VA [9]: able to count fingers (CF) = 1.7 LogMAR; able to detect hand movement (HM) = 2.0 LogMAR; light perception (LP) = 2.3 LogMAR; no light perception (NLP) = 3.0 LogMAR.\nWe retrospectively analyzed 48 654 patients with PPV treated in Beijing Tongren Hospital between January 2010 and June 2020. Of these, 28 cases were associated with SCH. Patients with eye trauma-related SCH were excluded. This study complied with the guidelines of the Declaration of Helsinki.\nGeneral data were collected, including sex, age, full medical history, anticoagulant use, condition of the eyes including past surgery, presence of high myopia, axial length, state of the crystalline lens, onset time of SCH, hemorrhage range, treatment method, visual prognosis, and surgery-related factors including the methods of operation and anesthesia. In all cases, vision was assessed using a Snellen chart and was converted to the logarithm of the minimum angle of resolution (LogMAR) VA for computational purposes. The following LogMAR cutoffs were used for non-numeric VA [9]: able to count fingers (CF) = 1.7 LogMAR; able to detect hand movement (HM) = 2.0 LogMAR; light perception (LP) = 2.3 LogMAR; no light perception (NLP) = 3.0 LogMAR.\nMethods Patients were retrospectively analyzed and divided into those who had SCH related to the first PPV (Group 1), or SCH related to the second intraocular surgery in vitrectomized eyes (Group 2). The cases were further divided into an ESCH group and a DSCH group, according to the onset time. The general data of SCH, related risk factors and visual prognosis in the different groups were analyzed.\nPatients were retrospectively analyzed and divided into those who had SCH related to the first PPV (Group 1), or SCH related to the second intraocular surgery in vitrectomized eyes (Group 2). The cases were further divided into an ESCH group and a DSCH group, according to the onset time. The general data of SCH, related risk factors and visual prognosis in the different groups were analyzed.\nStatistical analysis Data were analyzed using SPSS17.0 software, with measurement data expressed as means ± SD. A chi-squared test was used for the enumeration of the data. Independent-samples student t-test and one-way ANOVA were used for data analysis. Pearson correlation analysis was used to analyze whether there was a correlation between vision outcome after treatment and age, axial length, and baseline vision. Data were considered statistically significant when P< 0.05.\nData were analyzed using SPSS17.0 software, with measurement data expressed as means ± SD. A chi-squared test was used for the enumeration of the data. Independent-samples student t-test and one-way ANOVA were used for data analysis. Pearson correlation analysis was used to analyze whether there was a correlation between vision outcome after treatment and age, axial length, and baseline vision. Data were considered statistically significant when P< 0.05.", "We retrospectively analyzed 48 654 patients with PPV treated in Beijing Tongren Hospital between January 2010 and June 2020. Of these, 28 cases were associated with SCH. Patients with eye trauma-related SCH were excluded. This study complied with the guidelines of the Declaration of Helsinki.\nGeneral data were collected, including sex, age, full medical history, anticoagulant use, condition of the eyes including past surgery, presence of high myopia, axial length, state of the crystalline lens, onset time of SCH, hemorrhage range, treatment method, visual prognosis, and surgery-related factors including the methods of operation and anesthesia. In all cases, vision was assessed using a Snellen chart and was converted to the logarithm of the minimum angle of resolution (LogMAR) VA for computational purposes. The following LogMAR cutoffs were used for non-numeric VA [9]: able to count fingers (CF) = 1.7 LogMAR; able to detect hand movement (HM) = 2.0 LogMAR; light perception (LP) = 2.3 LogMAR; no light perception (NLP) = 3.0 LogMAR.", "Patients were retrospectively analyzed and divided into those who had SCH related to the first PPV (Group 1), or SCH related to the second intraocular surgery in vitrectomized eyes (Group 2). The cases were further divided into an ESCH group and a DSCH group, according to the onset time. The general data of SCH, related risk factors and visual prognosis in the different groups were analyzed.", "Data were analyzed using SPSS17.0 software, with measurement data expressed as means ± SD. A chi-squared test was used for the enumeration of the data. Independent-samples student t-test and one-way ANOVA were used for data analysis. Pearson correlation analysis was used to analyze whether there was a correlation between vision outcome after treatment and age, axial length, and baseline vision. Data were considered statistically significant when P< 0.05.", "Among the 48 654 patients who underwent PPV in our hospital in the past 10 years, 28 patients with SCH were selected (an incidence of 0.06 %). The patients included 16 males and 12 females, with a mean age of (53.51 ± 10.21) years old and a mean follow-up time of (24.94 ± 14.60) days. Among them, 10 cases had other medical conditions, 1 had a medical history of anticoagulant drug use, and 21 had high myopia with a mean axial length of (28.21 ± 3.14) mm. Regarding the state of the crystalline lens, 3 had phakic eyes, 9 aphakic eyes, and 16 pseudophakic eyes (see Table 1 for more details). Indications of first PPV in our study included 17 cases of rhegmatogenous retinal detachment, 1 case of traction retinal detachment, 4 cases of vitreous hemorrhage, 4 cases of IOL dislocation, 1 case of macular hole, and 1 case of a vitreous foreign body ( Fig. 1). Except for 6 cases of cataract and glaucoma after vitrectomy, the other 22 cases were treated with posterior perfusion including 15 of 20G and 7 of 23G. After SCH occurrence, 2 cases were left with perfluorocarbon liquid, 3 patients with silicone oil, and 17 patients with perfusion fluid.\nTable 1General data of SCH associated with PPVTotal number of eyes (n)28Total number of patients (n)28Male: Female16:12Mean age (y)53.51 ± 10.21Follow-up time (d)24.94 ± 14.60Anticoagulant drug use1: 27High myopia21: 7Mean axial length (mm)28.21 ± 3.14State of crystalline lens Phakic eyes3 Aphakic eyes9 Pseudophakic eyes16local anesthesia: general anesthesia24: 4ESCH: DSCH24: 4Focal SCH: Diffuse SCH7: 21Fig. 1Indications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body\nGeneral data of SCH associated with PPV\nIndications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body", "Of the patients studied, 8 showed SCH related to the first PPV, and 20 were related to the second intraocular surgery in vitrectomized eyes (71.43 %). Among them, silicone oil removal resulted in the highest occurrence of SCH, with 12 cases (43 %), 7 of which occurred during the first PPV (25 %), 3 during IOL suspension after PPV, 1 during IOL removal after PPV, 1 during cataract surgery after PPV, 1 after first PPV, 2 in post-cataract surgery after PPV, and 1 in post glaucoma surgery after PPV (see Fig. 2).\nFig. 2Pathogenesis of SCH associated with PPV\nPathogenesis of SCH associated with PPV", "\nTable 2Comparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes groupSCH related to first PPV group (8 cases)SCH related to second intraocular surgery in vitrectomized eyes group (20 cases)P-valueMale: Female2: 613: 70.096Age (y)61.88 ± 8.7150.55 ± 8.900.008Mean axial length (mm)27.70 ± 3.4728.09 ± 3.150.786Hemorrhage range (focal: diffuse)2: 65: 150.096Hemoorhage duration (ESCH: DSCH)7: 117: 31.000Baseline VA1.73 ± 0.591.74 ± 0.640.968Final VA1.48 ± 0.831.97 ± 0.740.174\n\nComparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes group\nEight patients were included in Group 1, with 2 males and 6 females, with a mean age of (61.88 ± 8.71) years and a mean axial length of (27.70 ± 3.47) mm. Twenty cases were included in Group 2, with 13 males and 7 females, a mean age of (50.55 ± 8.90) years, and a mean axial length of (28.09 ± 3.15) mm. A chi-squared test was applied for sex on both groups, with P = 0.096, thus showing no statistical significance. An independent-samples t-test was used for age, with P = 0.008, showing statistical significance. The latter was also applied in the analysis of axial length, with P = 0.786, showing no statistical significance. The baseline vision was 1.73 ± 0.59 in Group 1 and 1.74 ± 0.64 in Group 2, with P = 0.968 using the independent-sample t-test. The final vision was 1.48 ± 0.83 in Group 1 and 1.97 ± 0.74 in Group 2, with P = 0.174, showing no statistical significance.\nThere were 2 cases of focal hemorrhage and 6 cases of diffuse hemorrhage in Group 1, while 5 focal and 15 diffuse hemorrhages occurred in Group 2, with a chi-squared test indicating that there was no statistically significant difference (P = 0.096). There were 7 cases of ESCH and 1 of DSCH in Group 1, while 17 ESCH and 3 DSCH occurred in Group 2 with a chi-squared test presenting no statistically significant difference (P = 1.00).", "\nTable 3Comparison of ESCH and DSCHESCH group (24 cases)DSCH (4 cases)P-valueMale: Female12: 123: 10.600Age (y)54.29 ± 9.6550.75 ± 13.940.654Mean axial length (mm)28.10 ± 3.1127.27 ± 4.040.729Hemorrhage range (focal: diffuse)6: 181: 31.000Baseline VA1.73 ± 0.551.78 ± 1.040.927Final VA1.85 ± 0.771.71 ± 1.000.792\n\nComparison of ESCH and DSCH\nWith regards to PPV-related cases, the incidence rate of ESCH was significantly greater (24 patients, 85.71 %) than for DSCH (4 patients, 14.29 %). In the ESCH group, 12 were male and 12 were female, with a mean age of (54.29 ± 9.65) years, and a mean axial length of (28.10 ± 3.11) mm. In comparison, the DSCH group included 3 males and 1 female, with a mean age of (50.75 ± 13.94) years and a mean axial length of (27.27 ± 4.04) mm. The influence of sex in both groups was analyzed using the chi-squared test (P = 0.60) and age was analyzed by an independent-sample t-test (P = 0.654), both of which showed no statistically significant differences. The baseline vision was 1.73 ± 0.55 in the ESCH group and 1.78 ± 1.04 in the DSCH group, and the final vision outcome was 1.85 ± 0.77 in the ESCH group and 1.71 ± 1.00 in the DSCH group. These differences were not significant, as shown by the independent-sample t-test (P = 0.927 and P = 0.792 for the baseline vision and final vision, respectively).\nThere were 6 cases of focal and 18 of diffuse hemorrhages in the ESCH group, compared with 1 focal and 3 diffuse hemorrhages in the DSCH group. A chi-squared test indicated that there was no statistically significant difference (P = 1.00).", "With regards to SCH, 5 patients were simply observed, 4 were given single suprachoroidal drainage, 15 were given suprachoroidal drainage combined with silicone tamponade, 2 underwent anterior chamber puncture, and 2 abandoned treatment. One patient underwent a single suprachoroidal drainage and was injected with rt-PA (recombinant tissue plasminogen activator, rt-PA) in the suprachoroidal space on the fourth day after the occurrence of DSCH and drained after 4 h (see Case 2 for further details). Patients were followed up and the final corrected vision was seen to be: no light perception (NLP) ~ 20/30; among them, 2 eyes showed NLP (7.14 %), 16 could detect hand motions (HM) to light perception (LP), 4 could count fingers (CF) ~ 20/400, and 6 of index ≥ 20/200 (21.43 %) (See Table 4 for details). The final vision was significantly positively correlated with the baseline vision (r = 0.545, P = 0.000), but not significantly correlated with age (r=-0.113, P = 0.427) or axial length (r = 0.073, P = 0.611).\nTable 4Analysis of treatment in SCH, vision outcomeTreatment in SCHNumber Observe5 Suprachoroidal drainage4 Suprachoroidal drainage combining silicone tamponade15 Anterior chamber puncture2 Abandon2Visual outcomeNumber NLP2(7.14 %) LP ~ HM16(57.14 %) CF ~ 20/4004(14.28 %) ≧ 20/2006(21.43 %)\nAnalysis of treatment in SCH, vision outcome", "Case 1: patient was a 57-year-old male, with a past medical history of hypertension, heart disease, heart stenting, and oral anticoagulant drug treatment (warfarin was stopped five days before surgery and replaced by low-molecular-weight heparin sodium injection). The patient was given PPV combing IOL removal under general anesthesia due to IOL dislocating to the vitreous space. During PPV, ESCH occurred which was found to be diffuse SCH and was observed with medication. After four months, the patient’s vision was 20/30 with a flat fundus (Fig. 3).\nFig. 3Fundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat\nFundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat\nCase 2: patient was a 46-year-old male who had swelling with pain in the right eye for three hours after the second IOL ciliary sulcus implantation in a vitrectomized eye. The patient had previously received PPV and foreign body removal from the right eye two months before. The vision was LP and the intraocular pressure was 41 mmHg, with diffuse SCH involving the posterior pole with local retinal detachment but no retinal hole. The kissing sign could be seen on ultrasound examination. As no significant change occurred after four days, the patient was given a rt-PA injection in the suprachoroidal space and single suprachoroidal drainage was performed. Three days after drainage, the patient’s vision was 20/60 with an intraocular pressure of 8 mmHg, and a bulge was only seen in the upper choroid. Reexamination was carried out two months after surgery at which time the patient’s vision was 20/30 and both the fundus retina and choroid were flat (Fig. 4).\nFig. 4Fundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid\nFundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid" ]
[ null, null, null, null, null, null, null, null, null, null, null ]
[ "Background", "Methods", "Patients", "Methods", "Statistical analysis", "Results", "General patient data", "Pathogenesis of PPV-related SCH", "Comparison of SCH between first PPV group and second intraocular surgery in vitrectomized eyes group (see Table 2 for more details)", "Comparison between ESCH and DSCH (See Table 3 for more details)", "Analysis of SCH treatment, vision outcome, and vision-related factors", "In-depth analysis of two specific cases of SCH", "Discussion" ]
[ "Suprachoroidal hemorrhage (SCH) is a rare but serious threat to vision, and is one of the most severe complications during or after intraocular surgery [1]. According to onset time, SCH can be divided into intraoperative expulsive suprachoroidal hemorrhage (ESCH) and post-operative delayed suprachoroidal hemorrhage (DSCH) [2]. According to the hemorrhage range, SCH can be divided into focal or diffuse SCH [3]. Blood in the suprachoroidal space can infiltrate the inferior retina, vitreous body, and anterior chambers, causing severe damage to the functioning of ocular tissue, retinal proliferation, and tractional retinal detachment, resulting in complete loss of vision. Furthermore, massive SCH for an extended period can cause cyclodialysis and functional loss of the ciliary body, leading to eventual eyeball atrophy [4, 5].\nThe incidence rate of SCH varies with different procedures, while the related risk factors and prognosis are also slightly different. As previously reported in the literature, the incidence rate of SCH in vitreous and retinal surgeries is 0.09–4.3 % [6–8]. However, there are few reports of SCH associated with pars plana vitrectomy (PPV), or SCH related to second intraocular surgery in vitrectomized eyes. Herein we have summarized and analyzed cases of SCH associated with PPV from the last 10 years, including the related risk factors and prognosis.", "Patients We retrospectively analyzed 48 654 patients with PPV treated in Beijing Tongren Hospital between January 2010 and June 2020. Of these, 28 cases were associated with SCH. Patients with eye trauma-related SCH were excluded. This study complied with the guidelines of the Declaration of Helsinki.\nGeneral data were collected, including sex, age, full medical history, anticoagulant use, condition of the eyes including past surgery, presence of high myopia, axial length, state of the crystalline lens, onset time of SCH, hemorrhage range, treatment method, visual prognosis, and surgery-related factors including the methods of operation and anesthesia. In all cases, vision was assessed using a Snellen chart and was converted to the logarithm of the minimum angle of resolution (LogMAR) VA for computational purposes. The following LogMAR cutoffs were used for non-numeric VA [9]: able to count fingers (CF) = 1.7 LogMAR; able to detect hand movement (HM) = 2.0 LogMAR; light perception (LP) = 2.3 LogMAR; no light perception (NLP) = 3.0 LogMAR.\nWe retrospectively analyzed 48 654 patients with PPV treated in Beijing Tongren Hospital between January 2010 and June 2020. Of these, 28 cases were associated with SCH. Patients with eye trauma-related SCH were excluded. This study complied with the guidelines of the Declaration of Helsinki.\nGeneral data were collected, including sex, age, full medical history, anticoagulant use, condition of the eyes including past surgery, presence of high myopia, axial length, state of the crystalline lens, onset time of SCH, hemorrhage range, treatment method, visual prognosis, and surgery-related factors including the methods of operation and anesthesia. In all cases, vision was assessed using a Snellen chart and was converted to the logarithm of the minimum angle of resolution (LogMAR) VA for computational purposes. The following LogMAR cutoffs were used for non-numeric VA [9]: able to count fingers (CF) = 1.7 LogMAR; able to detect hand movement (HM) = 2.0 LogMAR; light perception (LP) = 2.3 LogMAR; no light perception (NLP) = 3.0 LogMAR.\nMethods Patients were retrospectively analyzed and divided into those who had SCH related to the first PPV (Group 1), or SCH related to the second intraocular surgery in vitrectomized eyes (Group 2). The cases were further divided into an ESCH group and a DSCH group, according to the onset time. The general data of SCH, related risk factors and visual prognosis in the different groups were analyzed.\nPatients were retrospectively analyzed and divided into those who had SCH related to the first PPV (Group 1), or SCH related to the second intraocular surgery in vitrectomized eyes (Group 2). The cases were further divided into an ESCH group and a DSCH group, according to the onset time. The general data of SCH, related risk factors and visual prognosis in the different groups were analyzed.\nStatistical analysis Data were analyzed using SPSS17.0 software, with measurement data expressed as means ± SD. A chi-squared test was used for the enumeration of the data. Independent-samples student t-test and one-way ANOVA were used for data analysis. Pearson correlation analysis was used to analyze whether there was a correlation between vision outcome after treatment and age, axial length, and baseline vision. Data were considered statistically significant when P< 0.05.\nData were analyzed using SPSS17.0 software, with measurement data expressed as means ± SD. A chi-squared test was used for the enumeration of the data. Independent-samples student t-test and one-way ANOVA were used for data analysis. Pearson correlation analysis was used to analyze whether there was a correlation between vision outcome after treatment and age, axial length, and baseline vision. Data were considered statistically significant when P< 0.05.", "We retrospectively analyzed 48 654 patients with PPV treated in Beijing Tongren Hospital between January 2010 and June 2020. Of these, 28 cases were associated with SCH. Patients with eye trauma-related SCH were excluded. This study complied with the guidelines of the Declaration of Helsinki.\nGeneral data were collected, including sex, age, full medical history, anticoagulant use, condition of the eyes including past surgery, presence of high myopia, axial length, state of the crystalline lens, onset time of SCH, hemorrhage range, treatment method, visual prognosis, and surgery-related factors including the methods of operation and anesthesia. In all cases, vision was assessed using a Snellen chart and was converted to the logarithm of the minimum angle of resolution (LogMAR) VA for computational purposes. The following LogMAR cutoffs were used for non-numeric VA [9]: able to count fingers (CF) = 1.7 LogMAR; able to detect hand movement (HM) = 2.0 LogMAR; light perception (LP) = 2.3 LogMAR; no light perception (NLP) = 3.0 LogMAR.", "Patients were retrospectively analyzed and divided into those who had SCH related to the first PPV (Group 1), or SCH related to the second intraocular surgery in vitrectomized eyes (Group 2). The cases were further divided into an ESCH group and a DSCH group, according to the onset time. The general data of SCH, related risk factors and visual prognosis in the different groups were analyzed.", "Data were analyzed using SPSS17.0 software, with measurement data expressed as means ± SD. A chi-squared test was used for the enumeration of the data. Independent-samples student t-test and one-way ANOVA were used for data analysis. Pearson correlation analysis was used to analyze whether there was a correlation between vision outcome after treatment and age, axial length, and baseline vision. Data were considered statistically significant when P< 0.05.", "General patient data Among the 48 654 patients who underwent PPV in our hospital in the past 10 years, 28 patients with SCH were selected (an incidence of 0.06 %). The patients included 16 males and 12 females, with a mean age of (53.51 ± 10.21) years old and a mean follow-up time of (24.94 ± 14.60) days. Among them, 10 cases had other medical conditions, 1 had a medical history of anticoagulant drug use, and 21 had high myopia with a mean axial length of (28.21 ± 3.14) mm. Regarding the state of the crystalline lens, 3 had phakic eyes, 9 aphakic eyes, and 16 pseudophakic eyes (see Table 1 for more details). Indications of first PPV in our study included 17 cases of rhegmatogenous retinal detachment, 1 case of traction retinal detachment, 4 cases of vitreous hemorrhage, 4 cases of IOL dislocation, 1 case of macular hole, and 1 case of a vitreous foreign body ( Fig. 1). Except for 6 cases of cataract and glaucoma after vitrectomy, the other 22 cases were treated with posterior perfusion including 15 of 20G and 7 of 23G. After SCH occurrence, 2 cases were left with perfluorocarbon liquid, 3 patients with silicone oil, and 17 patients with perfusion fluid.\nTable 1General data of SCH associated with PPVTotal number of eyes (n)28Total number of patients (n)28Male: Female16:12Mean age (y)53.51 ± 10.21Follow-up time (d)24.94 ± 14.60Anticoagulant drug use1: 27High myopia21: 7Mean axial length (mm)28.21 ± 3.14State of crystalline lens Phakic eyes3 Aphakic eyes9 Pseudophakic eyes16local anesthesia: general anesthesia24: 4ESCH: DSCH24: 4Focal SCH: Diffuse SCH7: 21Fig. 1Indications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body\nGeneral data of SCH associated with PPV\nIndications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body\nAmong the 48 654 patients who underwent PPV in our hospital in the past 10 years, 28 patients with SCH were selected (an incidence of 0.06 %). The patients included 16 males and 12 females, with a mean age of (53.51 ± 10.21) years old and a mean follow-up time of (24.94 ± 14.60) days. Among them, 10 cases had other medical conditions, 1 had a medical history of anticoagulant drug use, and 21 had high myopia with a mean axial length of (28.21 ± 3.14) mm. Regarding the state of the crystalline lens, 3 had phakic eyes, 9 aphakic eyes, and 16 pseudophakic eyes (see Table 1 for more details). Indications of first PPV in our study included 17 cases of rhegmatogenous retinal detachment, 1 case of traction retinal detachment, 4 cases of vitreous hemorrhage, 4 cases of IOL dislocation, 1 case of macular hole, and 1 case of a vitreous foreign body ( Fig. 1). Except for 6 cases of cataract and glaucoma after vitrectomy, the other 22 cases were treated with posterior perfusion including 15 of 20G and 7 of 23G. After SCH occurrence, 2 cases were left with perfluorocarbon liquid, 3 patients with silicone oil, and 17 patients with perfusion fluid.\nTable 1General data of SCH associated with PPVTotal number of eyes (n)28Total number of patients (n)28Male: Female16:12Mean age (y)53.51 ± 10.21Follow-up time (d)24.94 ± 14.60Anticoagulant drug use1: 27High myopia21: 7Mean axial length (mm)28.21 ± 3.14State of crystalline lens Phakic eyes3 Aphakic eyes9 Pseudophakic eyes16local anesthesia: general anesthesia24: 4ESCH: DSCH24: 4Focal SCH: Diffuse SCH7: 21Fig. 1Indications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body\nGeneral data of SCH associated with PPV\nIndications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body\nPathogenesis of PPV-related SCH Of the patients studied, 8 showed SCH related to the first PPV, and 20 were related to the second intraocular surgery in vitrectomized eyes (71.43 %). Among them, silicone oil removal resulted in the highest occurrence of SCH, with 12 cases (43 %), 7 of which occurred during the first PPV (25 %), 3 during IOL suspension after PPV, 1 during IOL removal after PPV, 1 during cataract surgery after PPV, 1 after first PPV, 2 in post-cataract surgery after PPV, and 1 in post glaucoma surgery after PPV (see Fig. 2).\nFig. 2Pathogenesis of SCH associated with PPV\nPathogenesis of SCH associated with PPV\nOf the patients studied, 8 showed SCH related to the first PPV, and 20 were related to the second intraocular surgery in vitrectomized eyes (71.43 %). Among them, silicone oil removal resulted in the highest occurrence of SCH, with 12 cases (43 %), 7 of which occurred during the first PPV (25 %), 3 during IOL suspension after PPV, 1 during IOL removal after PPV, 1 during cataract surgery after PPV, 1 after first PPV, 2 in post-cataract surgery after PPV, and 1 in post glaucoma surgery after PPV (see Fig. 2).\nFig. 2Pathogenesis of SCH associated with PPV\nPathogenesis of SCH associated with PPV\nComparison of SCH between first PPV group and second intraocular surgery in vitrectomized eyes group (see Table 2 for more details) \nTable 2Comparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes groupSCH related to first PPV group (8 cases)SCH related to second intraocular surgery in vitrectomized eyes group (20 cases)P-valueMale: Female2: 613: 70.096Age (y)61.88 ± 8.7150.55 ± 8.900.008Mean axial length (mm)27.70 ± 3.4728.09 ± 3.150.786Hemorrhage range (focal: diffuse)2: 65: 150.096Hemoorhage duration (ESCH: DSCH)7: 117: 31.000Baseline VA1.73 ± 0.591.74 ± 0.640.968Final VA1.48 ± 0.831.97 ± 0.740.174\n\nComparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes group\nEight patients were included in Group 1, with 2 males and 6 females, with a mean age of (61.88 ± 8.71) years and a mean axial length of (27.70 ± 3.47) mm. Twenty cases were included in Group 2, with 13 males and 7 females, a mean age of (50.55 ± 8.90) years, and a mean axial length of (28.09 ± 3.15) mm. A chi-squared test was applied for sex on both groups, with P = 0.096, thus showing no statistical significance. An independent-samples t-test was used for age, with P = 0.008, showing statistical significance. The latter was also applied in the analysis of axial length, with P = 0.786, showing no statistical significance. The baseline vision was 1.73 ± 0.59 in Group 1 and 1.74 ± 0.64 in Group 2, with P = 0.968 using the independent-sample t-test. The final vision was 1.48 ± 0.83 in Group 1 and 1.97 ± 0.74 in Group 2, with P = 0.174, showing no statistical significance.\nThere were 2 cases of focal hemorrhage and 6 cases of diffuse hemorrhage in Group 1, while 5 focal and 15 diffuse hemorrhages occurred in Group 2, with a chi-squared test indicating that there was no statistically significant difference (P = 0.096). There were 7 cases of ESCH and 1 of DSCH in Group 1, while 17 ESCH and 3 DSCH occurred in Group 2 with a chi-squared test presenting no statistically significant difference (P = 1.00).\n\nTable 2Comparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes groupSCH related to first PPV group (8 cases)SCH related to second intraocular surgery in vitrectomized eyes group (20 cases)P-valueMale: Female2: 613: 70.096Age (y)61.88 ± 8.7150.55 ± 8.900.008Mean axial length (mm)27.70 ± 3.4728.09 ± 3.150.786Hemorrhage range (focal: diffuse)2: 65: 150.096Hemoorhage duration (ESCH: DSCH)7: 117: 31.000Baseline VA1.73 ± 0.591.74 ± 0.640.968Final VA1.48 ± 0.831.97 ± 0.740.174\n\nComparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes group\nEight patients were included in Group 1, with 2 males and 6 females, with a mean age of (61.88 ± 8.71) years and a mean axial length of (27.70 ± 3.47) mm. Twenty cases were included in Group 2, with 13 males and 7 females, a mean age of (50.55 ± 8.90) years, and a mean axial length of (28.09 ± 3.15) mm. A chi-squared test was applied for sex on both groups, with P = 0.096, thus showing no statistical significance. An independent-samples t-test was used for age, with P = 0.008, showing statistical significance. The latter was also applied in the analysis of axial length, with P = 0.786, showing no statistical significance. The baseline vision was 1.73 ± 0.59 in Group 1 and 1.74 ± 0.64 in Group 2, with P = 0.968 using the independent-sample t-test. The final vision was 1.48 ± 0.83 in Group 1 and 1.97 ± 0.74 in Group 2, with P = 0.174, showing no statistical significance.\nThere were 2 cases of focal hemorrhage and 6 cases of diffuse hemorrhage in Group 1, while 5 focal and 15 diffuse hemorrhages occurred in Group 2, with a chi-squared test indicating that there was no statistically significant difference (P = 0.096). There were 7 cases of ESCH and 1 of DSCH in Group 1, while 17 ESCH and 3 DSCH occurred in Group 2 with a chi-squared test presenting no statistically significant difference (P = 1.00).\nComparison between ESCH and DSCH (See Table 3 for more details) \nTable 3Comparison of ESCH and DSCHESCH group (24 cases)DSCH (4 cases)P-valueMale: Female12: 123: 10.600Age (y)54.29 ± 9.6550.75 ± 13.940.654Mean axial length (mm)28.10 ± 3.1127.27 ± 4.040.729Hemorrhage range (focal: diffuse)6: 181: 31.000Baseline VA1.73 ± 0.551.78 ± 1.040.927Final VA1.85 ± 0.771.71 ± 1.000.792\n\nComparison of ESCH and DSCH\nWith regards to PPV-related cases, the incidence rate of ESCH was significantly greater (24 patients, 85.71 %) than for DSCH (4 patients, 14.29 %). In the ESCH group, 12 were male and 12 were female, with a mean age of (54.29 ± 9.65) years, and a mean axial length of (28.10 ± 3.11) mm. In comparison, the DSCH group included 3 males and 1 female, with a mean age of (50.75 ± 13.94) years and a mean axial length of (27.27 ± 4.04) mm. The influence of sex in both groups was analyzed using the chi-squared test (P = 0.60) and age was analyzed by an independent-sample t-test (P = 0.654), both of which showed no statistically significant differences. The baseline vision was 1.73 ± 0.55 in the ESCH group and 1.78 ± 1.04 in the DSCH group, and the final vision outcome was 1.85 ± 0.77 in the ESCH group and 1.71 ± 1.00 in the DSCH group. These differences were not significant, as shown by the independent-sample t-test (P = 0.927 and P = 0.792 for the baseline vision and final vision, respectively).\nThere were 6 cases of focal and 18 of diffuse hemorrhages in the ESCH group, compared with 1 focal and 3 diffuse hemorrhages in the DSCH group. A chi-squared test indicated that there was no statistically significant difference (P = 1.00).\n\nTable 3Comparison of ESCH and DSCHESCH group (24 cases)DSCH (4 cases)P-valueMale: Female12: 123: 10.600Age (y)54.29 ± 9.6550.75 ± 13.940.654Mean axial length (mm)28.10 ± 3.1127.27 ± 4.040.729Hemorrhage range (focal: diffuse)6: 181: 31.000Baseline VA1.73 ± 0.551.78 ± 1.040.927Final VA1.85 ± 0.771.71 ± 1.000.792\n\nComparison of ESCH and DSCH\nWith regards to PPV-related cases, the incidence rate of ESCH was significantly greater (24 patients, 85.71 %) than for DSCH (4 patients, 14.29 %). In the ESCH group, 12 were male and 12 were female, with a mean age of (54.29 ± 9.65) years, and a mean axial length of (28.10 ± 3.11) mm. In comparison, the DSCH group included 3 males and 1 female, with a mean age of (50.75 ± 13.94) years and a mean axial length of (27.27 ± 4.04) mm. The influence of sex in both groups was analyzed using the chi-squared test (P = 0.60) and age was analyzed by an independent-sample t-test (P = 0.654), both of which showed no statistically significant differences. The baseline vision was 1.73 ± 0.55 in the ESCH group and 1.78 ± 1.04 in the DSCH group, and the final vision outcome was 1.85 ± 0.77 in the ESCH group and 1.71 ± 1.00 in the DSCH group. These differences were not significant, as shown by the independent-sample t-test (P = 0.927 and P = 0.792 for the baseline vision and final vision, respectively).\nThere were 6 cases of focal and 18 of diffuse hemorrhages in the ESCH group, compared with 1 focal and 3 diffuse hemorrhages in the DSCH group. A chi-squared test indicated that there was no statistically significant difference (P = 1.00).\nAnalysis of SCH treatment, vision outcome, and vision-related factors With regards to SCH, 5 patients were simply observed, 4 were given single suprachoroidal drainage, 15 were given suprachoroidal drainage combined with silicone tamponade, 2 underwent anterior chamber puncture, and 2 abandoned treatment. One patient underwent a single suprachoroidal drainage and was injected with rt-PA (recombinant tissue plasminogen activator, rt-PA) in the suprachoroidal space on the fourth day after the occurrence of DSCH and drained after 4 h (see Case 2 for further details). Patients were followed up and the final corrected vision was seen to be: no light perception (NLP) ~ 20/30; among them, 2 eyes showed NLP (7.14 %), 16 could detect hand motions (HM) to light perception (LP), 4 could count fingers (CF) ~ 20/400, and 6 of index ≥ 20/200 (21.43 %) (See Table 4 for details). The final vision was significantly positively correlated with the baseline vision (r = 0.545, P = 0.000), but not significantly correlated with age (r=-0.113, P = 0.427) or axial length (r = 0.073, P = 0.611).\nTable 4Analysis of treatment in SCH, vision outcomeTreatment in SCHNumber Observe5 Suprachoroidal drainage4 Suprachoroidal drainage combining silicone tamponade15 Anterior chamber puncture2 Abandon2Visual outcomeNumber NLP2(7.14 %) LP ~ HM16(57.14 %) CF ~ 20/4004(14.28 %) ≧ 20/2006(21.43 %)\nAnalysis of treatment in SCH, vision outcome\nWith regards to SCH, 5 patients were simply observed, 4 were given single suprachoroidal drainage, 15 were given suprachoroidal drainage combined with silicone tamponade, 2 underwent anterior chamber puncture, and 2 abandoned treatment. One patient underwent a single suprachoroidal drainage and was injected with rt-PA (recombinant tissue plasminogen activator, rt-PA) in the suprachoroidal space on the fourth day after the occurrence of DSCH and drained after 4 h (see Case 2 for further details). Patients were followed up and the final corrected vision was seen to be: no light perception (NLP) ~ 20/30; among them, 2 eyes showed NLP (7.14 %), 16 could detect hand motions (HM) to light perception (LP), 4 could count fingers (CF) ~ 20/400, and 6 of index ≥ 20/200 (21.43 %) (See Table 4 for details). The final vision was significantly positively correlated with the baseline vision (r = 0.545, P = 0.000), but not significantly correlated with age (r=-0.113, P = 0.427) or axial length (r = 0.073, P = 0.611).\nTable 4Analysis of treatment in SCH, vision outcomeTreatment in SCHNumber Observe5 Suprachoroidal drainage4 Suprachoroidal drainage combining silicone tamponade15 Anterior chamber puncture2 Abandon2Visual outcomeNumber NLP2(7.14 %) LP ~ HM16(57.14 %) CF ~ 20/4004(14.28 %) ≧ 20/2006(21.43 %)\nAnalysis of treatment in SCH, vision outcome\nIn-depth analysis of two specific cases of SCH Case 1: patient was a 57-year-old male, with a past medical history of hypertension, heart disease, heart stenting, and oral anticoagulant drug treatment (warfarin was stopped five days before surgery and replaced by low-molecular-weight heparin sodium injection). The patient was given PPV combing IOL removal under general anesthesia due to IOL dislocating to the vitreous space. During PPV, ESCH occurred which was found to be diffuse SCH and was observed with medication. After four months, the patient’s vision was 20/30 with a flat fundus (Fig. 3).\nFig. 3Fundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat\nFundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat\nCase 2: patient was a 46-year-old male who had swelling with pain in the right eye for three hours after the second IOL ciliary sulcus implantation in a vitrectomized eye. The patient had previously received PPV and foreign body removal from the right eye two months before. The vision was LP and the intraocular pressure was 41 mmHg, with diffuse SCH involving the posterior pole with local retinal detachment but no retinal hole. The kissing sign could be seen on ultrasound examination. As no significant change occurred after four days, the patient was given a rt-PA injection in the suprachoroidal space and single suprachoroidal drainage was performed. Three days after drainage, the patient’s vision was 20/60 with an intraocular pressure of 8 mmHg, and a bulge was only seen in the upper choroid. Reexamination was carried out two months after surgery at which time the patient’s vision was 20/30 and both the fundus retina and choroid were flat (Fig. 4).\nFig. 4Fundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid\nFundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid\nCase 1: patient was a 57-year-old male, with a past medical history of hypertension, heart disease, heart stenting, and oral anticoagulant drug treatment (warfarin was stopped five days before surgery and replaced by low-molecular-weight heparin sodium injection). The patient was given PPV combing IOL removal under general anesthesia due to IOL dislocating to the vitreous space. During PPV, ESCH occurred which was found to be diffuse SCH and was observed with medication. After four months, the patient’s vision was 20/30 with a flat fundus (Fig. 3).\nFig. 3Fundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat\nFundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat\nCase 2: patient was a 46-year-old male who had swelling with pain in the right eye for three hours after the second IOL ciliary sulcus implantation in a vitrectomized eye. The patient had previously received PPV and foreign body removal from the right eye two months before. The vision was LP and the intraocular pressure was 41 mmHg, with diffuse SCH involving the posterior pole with local retinal detachment but no retinal hole. The kissing sign could be seen on ultrasound examination. As no significant change occurred after four days, the patient was given a rt-PA injection in the suprachoroidal space and single suprachoroidal drainage was performed. Three days after drainage, the patient’s vision was 20/60 with an intraocular pressure of 8 mmHg, and a bulge was only seen in the upper choroid. Reexamination was carried out two months after surgery at which time the patient’s vision was 20/30 and both the fundus retina and choroid were flat (Fig. 4).\nFig. 4Fundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid\nFundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid", "Among the 48 654 patients who underwent PPV in our hospital in the past 10 years, 28 patients with SCH were selected (an incidence of 0.06 %). The patients included 16 males and 12 females, with a mean age of (53.51 ± 10.21) years old and a mean follow-up time of (24.94 ± 14.60) days. Among them, 10 cases had other medical conditions, 1 had a medical history of anticoagulant drug use, and 21 had high myopia with a mean axial length of (28.21 ± 3.14) mm. Regarding the state of the crystalline lens, 3 had phakic eyes, 9 aphakic eyes, and 16 pseudophakic eyes (see Table 1 for more details). Indications of first PPV in our study included 17 cases of rhegmatogenous retinal detachment, 1 case of traction retinal detachment, 4 cases of vitreous hemorrhage, 4 cases of IOL dislocation, 1 case of macular hole, and 1 case of a vitreous foreign body ( Fig. 1). Except for 6 cases of cataract and glaucoma after vitrectomy, the other 22 cases were treated with posterior perfusion including 15 of 20G and 7 of 23G. After SCH occurrence, 2 cases were left with perfluorocarbon liquid, 3 patients with silicone oil, and 17 patients with perfusion fluid.\nTable 1General data of SCH associated with PPVTotal number of eyes (n)28Total number of patients (n)28Male: Female16:12Mean age (y)53.51 ± 10.21Follow-up time (d)24.94 ± 14.60Anticoagulant drug use1: 27High myopia21: 7Mean axial length (mm)28.21 ± 3.14State of crystalline lens Phakic eyes3 Aphakic eyes9 Pseudophakic eyes16local anesthesia: general anesthesia24: 4ESCH: DSCH24: 4Focal SCH: Diffuse SCH7: 21Fig. 1Indications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body\nGeneral data of SCH associated with PPV\nIndications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body", "Of the patients studied, 8 showed SCH related to the first PPV, and 20 were related to the second intraocular surgery in vitrectomized eyes (71.43 %). Among them, silicone oil removal resulted in the highest occurrence of SCH, with 12 cases (43 %), 7 of which occurred during the first PPV (25 %), 3 during IOL suspension after PPV, 1 during IOL removal after PPV, 1 during cataract surgery after PPV, 1 after first PPV, 2 in post-cataract surgery after PPV, and 1 in post glaucoma surgery after PPV (see Fig. 2).\nFig. 2Pathogenesis of SCH associated with PPV\nPathogenesis of SCH associated with PPV", "\nTable 2Comparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes groupSCH related to first PPV group (8 cases)SCH related to second intraocular surgery in vitrectomized eyes group (20 cases)P-valueMale: Female2: 613: 70.096Age (y)61.88 ± 8.7150.55 ± 8.900.008Mean axial length (mm)27.70 ± 3.4728.09 ± 3.150.786Hemorrhage range (focal: diffuse)2: 65: 150.096Hemoorhage duration (ESCH: DSCH)7: 117: 31.000Baseline VA1.73 ± 0.591.74 ± 0.640.968Final VA1.48 ± 0.831.97 ± 0.740.174\n\nComparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes group\nEight patients were included in Group 1, with 2 males and 6 females, with a mean age of (61.88 ± 8.71) years and a mean axial length of (27.70 ± 3.47) mm. Twenty cases were included in Group 2, with 13 males and 7 females, a mean age of (50.55 ± 8.90) years, and a mean axial length of (28.09 ± 3.15) mm. A chi-squared test was applied for sex on both groups, with P = 0.096, thus showing no statistical significance. An independent-samples t-test was used for age, with P = 0.008, showing statistical significance. The latter was also applied in the analysis of axial length, with P = 0.786, showing no statistical significance. The baseline vision was 1.73 ± 0.59 in Group 1 and 1.74 ± 0.64 in Group 2, with P = 0.968 using the independent-sample t-test. The final vision was 1.48 ± 0.83 in Group 1 and 1.97 ± 0.74 in Group 2, with P = 0.174, showing no statistical significance.\nThere were 2 cases of focal hemorrhage and 6 cases of diffuse hemorrhage in Group 1, while 5 focal and 15 diffuse hemorrhages occurred in Group 2, with a chi-squared test indicating that there was no statistically significant difference (P = 0.096). There were 7 cases of ESCH and 1 of DSCH in Group 1, while 17 ESCH and 3 DSCH occurred in Group 2 with a chi-squared test presenting no statistically significant difference (P = 1.00).", "\nTable 3Comparison of ESCH and DSCHESCH group (24 cases)DSCH (4 cases)P-valueMale: Female12: 123: 10.600Age (y)54.29 ± 9.6550.75 ± 13.940.654Mean axial length (mm)28.10 ± 3.1127.27 ± 4.040.729Hemorrhage range (focal: diffuse)6: 181: 31.000Baseline VA1.73 ± 0.551.78 ± 1.040.927Final VA1.85 ± 0.771.71 ± 1.000.792\n\nComparison of ESCH and DSCH\nWith regards to PPV-related cases, the incidence rate of ESCH was significantly greater (24 patients, 85.71 %) than for DSCH (4 patients, 14.29 %). In the ESCH group, 12 were male and 12 were female, with a mean age of (54.29 ± 9.65) years, and a mean axial length of (28.10 ± 3.11) mm. In comparison, the DSCH group included 3 males and 1 female, with a mean age of (50.75 ± 13.94) years and a mean axial length of (27.27 ± 4.04) mm. The influence of sex in both groups was analyzed using the chi-squared test (P = 0.60) and age was analyzed by an independent-sample t-test (P = 0.654), both of which showed no statistically significant differences. The baseline vision was 1.73 ± 0.55 in the ESCH group and 1.78 ± 1.04 in the DSCH group, and the final vision outcome was 1.85 ± 0.77 in the ESCH group and 1.71 ± 1.00 in the DSCH group. These differences were not significant, as shown by the independent-sample t-test (P = 0.927 and P = 0.792 for the baseline vision and final vision, respectively).\nThere were 6 cases of focal and 18 of diffuse hemorrhages in the ESCH group, compared with 1 focal and 3 diffuse hemorrhages in the DSCH group. A chi-squared test indicated that there was no statistically significant difference (P = 1.00).", "With regards to SCH, 5 patients were simply observed, 4 were given single suprachoroidal drainage, 15 were given suprachoroidal drainage combined with silicone tamponade, 2 underwent anterior chamber puncture, and 2 abandoned treatment. One patient underwent a single suprachoroidal drainage and was injected with rt-PA (recombinant tissue plasminogen activator, rt-PA) in the suprachoroidal space on the fourth day after the occurrence of DSCH and drained after 4 h (see Case 2 for further details). Patients were followed up and the final corrected vision was seen to be: no light perception (NLP) ~ 20/30; among them, 2 eyes showed NLP (7.14 %), 16 could detect hand motions (HM) to light perception (LP), 4 could count fingers (CF) ~ 20/400, and 6 of index ≥ 20/200 (21.43 %) (See Table 4 for details). The final vision was significantly positively correlated with the baseline vision (r = 0.545, P = 0.000), but not significantly correlated with age (r=-0.113, P = 0.427) or axial length (r = 0.073, P = 0.611).\nTable 4Analysis of treatment in SCH, vision outcomeTreatment in SCHNumber Observe5 Suprachoroidal drainage4 Suprachoroidal drainage combining silicone tamponade15 Anterior chamber puncture2 Abandon2Visual outcomeNumber NLP2(7.14 %) LP ~ HM16(57.14 %) CF ~ 20/4004(14.28 %) ≧ 20/2006(21.43 %)\nAnalysis of treatment in SCH, vision outcome", "Case 1: patient was a 57-year-old male, with a past medical history of hypertension, heart disease, heart stenting, and oral anticoagulant drug treatment (warfarin was stopped five days before surgery and replaced by low-molecular-weight heparin sodium injection). The patient was given PPV combing IOL removal under general anesthesia due to IOL dislocating to the vitreous space. During PPV, ESCH occurred which was found to be diffuse SCH and was observed with medication. After four months, the patient’s vision was 20/30 with a flat fundus (Fig. 3).\nFig. 3Fundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat\nFundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat\nCase 2: patient was a 46-year-old male who had swelling with pain in the right eye for three hours after the second IOL ciliary sulcus implantation in a vitrectomized eye. The patient had previously received PPV and foreign body removal from the right eye two months before. The vision was LP and the intraocular pressure was 41 mmHg, with diffuse SCH involving the posterior pole with local retinal detachment but no retinal hole. The kissing sign could be seen on ultrasound examination. As no significant change occurred after four days, the patient was given a rt-PA injection in the suprachoroidal space and single suprachoroidal drainage was performed. Three days after drainage, the patient’s vision was 20/60 with an intraocular pressure of 8 mmHg, and a bulge was only seen in the upper choroid. Reexamination was carried out two months after surgery at which time the patient’s vision was 20/30 and both the fundus retina and choroid were flat (Fig. 4).\nFig. 4Fundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid\nFundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid", "SCH, defined as the accumulation of blood in the suprachoroidal space between the choroid and sclera, is a rare but severe complication during or after intraocular surgery that seriously threatens vision. The condition causes continuous retinal detachment, secondary glaucoma or hypotony, leading to a prognosis of poor vision, and even vision loss and eyeball atrophy. The mechanism of SCH remains unclear. Previous research has shown that the pathophysiological process of SCH involves multiple factors, and one of the induction factors is a sudden drop in intraocular pressure [1, 4, 5]. The long posterior ciliary artery is particularly fragile where it penetrates from the sclera into the suprachoroidal space and is easily ruptured; excessive low intraocular pressure causes rupture of the long or short posterior ciliary artery, resulting in SCH [1, 4, 5].\nAccording to literature reports, the incidence rate of SCH during PPV is 0.09–4.3 % [7, 8], and 0.8 % [8] after PPV. The risk factors of SCH associated with PPV are mainly related to high myopia, aphakic/ pseudophakic eyes, surgical treatment of retinal detachment, and retinal freezing [5, 8, 10, 11]. However, the morphological characteristics and visual prognosis of SCH associated with PPV have not been reported. We summarized cases from our hospital over the last 10 years for cases of SCH related to a first PPV and SCH related to a second intraocular surgery in vitrectomized eyes, in an attempt to analyze the related risk factors, morphological characteristics, and vision prognosis.\nAmong the 48 654 patients who underwent PPV in our hospital in the past 10 years, 28 SCH patients were selected (an incidence of 0.06 %), with 8 cases of SCH related to thefirst PPV and 20 related to the second intraocular surgery in vitrectomized eyes (71.43 %). Cases involving silicone oil removal surgery were the most abundant (12 cases; 43 %). The incidence rate of SCH related to second intraocular surgery in vitrectomized eyes was higher than that occurring in the first PPV surgery. We consider that in the second surgery in vitrectomized eyes, the frequent fluctuation of intraocular pressure occurred without the vitreous body, particularly due to repeated fluid-air exchange in the silicone oil removal surgery. With regards to the age at onset, the group comprising second intraocular surgery in vitrectomized eyes were slightly younger than the first PPV group. In our opinion, eye factors such as a repeated fluctuation of intraoperative intraocular pressure, high myopia, and aphakic/pseudophakic eyes were more important factors. The incidence rate of focal suprachoroidal hemorrhage associated with PPV was 25 %, and no incidence rate regarding focal suprachoroidal hemorrhage has been reported in the literature.\nThere were 24 cases of ESCH (85.7 %), which was significantly higher than the DSCH incidence. Recent studies have shown the incidence rate of DSCH after PPV to be 0.8 %, which is similar to the rate of 1 % during surgery [9, 12]. However, the incidence rate of DSCH was lower in our study; this might be associated with the loss of patients who did not visit our hospital or received treatment in the outpatient department. Additionally, of the four DSCH cases, one occurred after vomiting while the induction factors in the other three were undetermined. Literature reports have demonstrated that SCH has significant correlations with advanced age, long axial length, rhegmatogenous retinal detachment, extensive retinal photocoagulation, oral anticoagulant drug use, and postoperative vomiting [8, 12–14]. In our study, there was high myopia in 75 % of cases, a mean axial length of 28.21 ± 3.14 mm, and aphakic and pseudophakic eyes in 89.29 % of cases, a mean age of 53.51 ± 10.21 years old, and only one case of oral anticoagulant use. Therefore, long axial length and aphakic/ pseudophakic eyes are absolute risk factors for SCH and are associated with the increased fragility of blood vessels in high myopia and choroidal effusion that is easily caused by a large vitreous space and little support in the sclera and vitreous body. For the prevention of SCH, we suggest that intraocular pressure fluctuation should be heeded during the operation, especially in the process of silicone oil removal. Every time the instrument is replaced, a scleral nail should be used to plug the puncture opening to seal the incision; the intraoperative instrument should be gently pressed against the eyeball to reduce the possibility of SCH occurrence.\nIn the 28 cases of SCH associated with PPV, 5 eyes were simply observed, 4 were given single suprachoroidal drainage, 15 were given suprachoroidal drainage combined with silicone tamponade, 2 underwent anterior chamber puncture, and 2 abandoned treatment. According to literature reports, for non-traumatic surgery-related SCH, 70 % of patients’ vision was less than 20/400, with 12–57 % of SCH cases presenting NLP, which was even as high as 86 % in the end [4]. Among our cases, 7.14 % presented NLP and 21.43 % ≥ 20/200. The prognosis of SCH associated with PPV was relatively good. We suggest the following possible reasons:: (1) In normal vitreous eyes, when SCH occurs, the high bulge of the choroid would forcibly squeeze out the vitreous, causing the iris and crystalline lenses to shift forwards. The fronted vitreous and ocular contents would cause traction in the retina and choroid, resulting in further expansion of the SCH and retinal detachment, whereas in vitrectomized eyes, without strong traction of the vitreous, SCH tends to be localized and retinal detachment is rare. (2) Since there is no vitreous in vitrectomized eyes, the possibility of post-operative retinal proliferation is greatly reduced, thus decreasing the occurrence of continuous retinal detachment. (3) SCH occurs in vitrectomized eyes, and the postoperative inflammatory response is usually mild; it also reduces the postoperative proliferation. (4) There is internal perfusion during PPV, which can be rapidly increased when SCH occurs, thus, ocular hypotension usually does not last for an extended period. (5) The rise of postoperative intraocular pressure is controllable because “non-vitreous fluid” can easily be discharged from the anterior chamber angle and there is no extended severe pupillary block [15]. (6) The follow-up time is short and the assessment of long-term vision would increase the validity of the findings.\nApart from a correlation with baseline vision, the visual prognosis of SCH is also related to the form of choroidal hemorrhage. Localized SCH or SCH without macular involvement has a better prognosis. In the case of diffuse SCH, the question of how to improve the prognosis as much as possible remains. The currently accepted treatment option is to perform suprachoroidal drainage surgery approximately two weeks after the occurrence of hemorrhage since the liquefaction of the blood clot at this time benefits the drainage of SCH [16]. However, even when the choroid has been reattached, it is impossible for the ocular tissue function to recover from damage caused by long-term hemorrhage. Therefore, early liquefaction and removal of blood clots in the suprachoroidal space to minimize the damage has become the core treatment in SCH, which is possible with the application of t-PA. In 1998, Kwon et al. first injected t-PA into the suprachoroidal space to treat SCH in animal experiments, and subsequently, there have been cases reported since 2012 [17–21]. In our study, one patient developed DSCH after a second IOL implantation in vitrectomized eyes (Case 2 above). On the fourth day after SCH, rt-PA (Alteplase, 10 µg/0.1 mL) was injected into the suprachoroidal space, where drainage was performed afterwards. This improved the patient’s vision from LP to 20/30 which significantly improved the prognosis. Therefore, for diffuse SCH, we need to use aggressive treatment to further improve the prognosis.\nThere are, however, a number of shortcomings in this study: (1) The effects of intraoperative surgery were not counted, such as intraocular photocoagulation and retinal freezing; (2) The follow-up time was short and long-term visual prognosis was not analyzed; (3) The treatment methods such as t-PA treatment were not summarized because the SCH case numbers were low. Therefore, sample numbers should be increased and a multicentric study should be performed to reach a definite conclusion.\nIn conclusion, the incidence rate of SCH associated with second intraocular surgery in vitrectomized eyes is higher which is related to the lack of vitreous support and is caused by easier fluctuation of intraocular pressure. SCH associated with PPV is more likely to be localized and has a relatively good prognosis. High myopia and aphakic/pseudophakic eyes remain the highest risk factors for SCH. Adequate preoperative assessment of the patient’s general condition should be performed, and intraoperative surgery should be careful to avoid fluctuation in intraocular pressure, especially for patients undergoing second intraocular surgery in vitrectomized eyes. Furthermore, attention should be paid to risk prevention; the incision closure should be made carefully in order to reduce the risk of wound leakage, and any side-effects of anesthesia should be treated promptly and aggressively once it occurs to save the patient’s vision." ]
[ null, null, null, null, null, "results", null, null, null, null, null, null, "discussion" ]
[ "Suprachoroidal hemorrhage", "Pars plana vitrectomy", "Vitrectomized eye" ]
Background: Suprachoroidal hemorrhage (SCH) is a rare but serious threat to vision, and is one of the most severe complications during or after intraocular surgery [1]. According to onset time, SCH can be divided into intraoperative expulsive suprachoroidal hemorrhage (ESCH) and post-operative delayed suprachoroidal hemorrhage (DSCH) [2]. According to the hemorrhage range, SCH can be divided into focal or diffuse SCH [3]. Blood in the suprachoroidal space can infiltrate the inferior retina, vitreous body, and anterior chambers, causing severe damage to the functioning of ocular tissue, retinal proliferation, and tractional retinal detachment, resulting in complete loss of vision. Furthermore, massive SCH for an extended period can cause cyclodialysis and functional loss of the ciliary body, leading to eventual eyeball atrophy [4, 5]. The incidence rate of SCH varies with different procedures, while the related risk factors and prognosis are also slightly different. As previously reported in the literature, the incidence rate of SCH in vitreous and retinal surgeries is 0.09–4.3 % [6–8]. However, there are few reports of SCH associated with pars plana vitrectomy (PPV), or SCH related to second intraocular surgery in vitrectomized eyes. Herein we have summarized and analyzed cases of SCH associated with PPV from the last 10 years, including the related risk factors and prognosis. Methods: Patients We retrospectively analyzed 48 654 patients with PPV treated in Beijing Tongren Hospital between January 2010 and June 2020. Of these, 28 cases were associated with SCH. Patients with eye trauma-related SCH were excluded. This study complied with the guidelines of the Declaration of Helsinki. General data were collected, including sex, age, full medical history, anticoagulant use, condition of the eyes including past surgery, presence of high myopia, axial length, state of the crystalline lens, onset time of SCH, hemorrhage range, treatment method, visual prognosis, and surgery-related factors including the methods of operation and anesthesia. In all cases, vision was assessed using a Snellen chart and was converted to the logarithm of the minimum angle of resolution (LogMAR) VA for computational purposes. The following LogMAR cutoffs were used for non-numeric VA [9]: able to count fingers (CF) = 1.7 LogMAR; able to detect hand movement (HM) = 2.0 LogMAR; light perception (LP) = 2.3 LogMAR; no light perception (NLP) = 3.0 LogMAR. We retrospectively analyzed 48 654 patients with PPV treated in Beijing Tongren Hospital between January 2010 and June 2020. Of these, 28 cases were associated with SCH. Patients with eye trauma-related SCH were excluded. This study complied with the guidelines of the Declaration of Helsinki. General data were collected, including sex, age, full medical history, anticoagulant use, condition of the eyes including past surgery, presence of high myopia, axial length, state of the crystalline lens, onset time of SCH, hemorrhage range, treatment method, visual prognosis, and surgery-related factors including the methods of operation and anesthesia. In all cases, vision was assessed using a Snellen chart and was converted to the logarithm of the minimum angle of resolution (LogMAR) VA for computational purposes. The following LogMAR cutoffs were used for non-numeric VA [9]: able to count fingers (CF) = 1.7 LogMAR; able to detect hand movement (HM) = 2.0 LogMAR; light perception (LP) = 2.3 LogMAR; no light perception (NLP) = 3.0 LogMAR. Methods Patients were retrospectively analyzed and divided into those who had SCH related to the first PPV (Group 1), or SCH related to the second intraocular surgery in vitrectomized eyes (Group 2). The cases were further divided into an ESCH group and a DSCH group, according to the onset time. The general data of SCH, related risk factors and visual prognosis in the different groups were analyzed. Patients were retrospectively analyzed and divided into those who had SCH related to the first PPV (Group 1), or SCH related to the second intraocular surgery in vitrectomized eyes (Group 2). The cases were further divided into an ESCH group and a DSCH group, according to the onset time. The general data of SCH, related risk factors and visual prognosis in the different groups were analyzed. Statistical analysis Data were analyzed using SPSS17.0 software, with measurement data expressed as means ± SD. A chi-squared test was used for the enumeration of the data. Independent-samples student t-test and one-way ANOVA were used for data analysis. Pearson correlation analysis was used to analyze whether there was a correlation between vision outcome after treatment and age, axial length, and baseline vision. Data were considered statistically significant when P< 0.05. Data were analyzed using SPSS17.0 software, with measurement data expressed as means ± SD. A chi-squared test was used for the enumeration of the data. Independent-samples student t-test and one-way ANOVA were used for data analysis. Pearson correlation analysis was used to analyze whether there was a correlation between vision outcome after treatment and age, axial length, and baseline vision. Data were considered statistically significant when P< 0.05. Patients: We retrospectively analyzed 48 654 patients with PPV treated in Beijing Tongren Hospital between January 2010 and June 2020. Of these, 28 cases were associated with SCH. Patients with eye trauma-related SCH were excluded. This study complied with the guidelines of the Declaration of Helsinki. General data were collected, including sex, age, full medical history, anticoagulant use, condition of the eyes including past surgery, presence of high myopia, axial length, state of the crystalline lens, onset time of SCH, hemorrhage range, treatment method, visual prognosis, and surgery-related factors including the methods of operation and anesthesia. In all cases, vision was assessed using a Snellen chart and was converted to the logarithm of the minimum angle of resolution (LogMAR) VA for computational purposes. The following LogMAR cutoffs were used for non-numeric VA [9]: able to count fingers (CF) = 1.7 LogMAR; able to detect hand movement (HM) = 2.0 LogMAR; light perception (LP) = 2.3 LogMAR; no light perception (NLP) = 3.0 LogMAR. Methods: Patients were retrospectively analyzed and divided into those who had SCH related to the first PPV (Group 1), or SCH related to the second intraocular surgery in vitrectomized eyes (Group 2). The cases were further divided into an ESCH group and a DSCH group, according to the onset time. The general data of SCH, related risk factors and visual prognosis in the different groups were analyzed. Statistical analysis: Data were analyzed using SPSS17.0 software, with measurement data expressed as means ± SD. A chi-squared test was used for the enumeration of the data. Independent-samples student t-test and one-way ANOVA were used for data analysis. Pearson correlation analysis was used to analyze whether there was a correlation between vision outcome after treatment and age, axial length, and baseline vision. Data were considered statistically significant when P< 0.05. Results: General patient data Among the 48 654 patients who underwent PPV in our hospital in the past 10 years, 28 patients with SCH were selected (an incidence of 0.06 %). The patients included 16 males and 12 females, with a mean age of (53.51 ± 10.21) years old and a mean follow-up time of (24.94 ± 14.60) days. Among them, 10 cases had other medical conditions, 1 had a medical history of anticoagulant drug use, and 21 had high myopia with a mean axial length of (28.21 ± 3.14) mm. Regarding the state of the crystalline lens, 3 had phakic eyes, 9 aphakic eyes, and 16 pseudophakic eyes (see Table 1 for more details). Indications of first PPV in our study included 17 cases of rhegmatogenous retinal detachment, 1 case of traction retinal detachment, 4 cases of vitreous hemorrhage, 4 cases of IOL dislocation, 1 case of macular hole, and 1 case of a vitreous foreign body ( Fig. 1). Except for 6 cases of cataract and glaucoma after vitrectomy, the other 22 cases were treated with posterior perfusion including 15 of 20G and 7 of 23G. After SCH occurrence, 2 cases were left with perfluorocarbon liquid, 3 patients with silicone oil, and 17 patients with perfusion fluid. Table 1General data of SCH associated with PPVTotal number of eyes (n)28Total number of patients (n)28Male: Female16:12Mean age (y)53.51 ± 10.21Follow-up time (d)24.94 ± 14.60Anticoagulant drug use1: 27High myopia21: 7Mean axial length (mm)28.21 ± 3.14State of crystalline lens Phakic eyes3 Aphakic eyes9 Pseudophakic eyes16local anesthesia: general anesthesia24: 4ESCH: DSCH24: 4Focal SCH: Diffuse SCH7: 21Fig. 1Indications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body General data of SCH associated with PPV Indications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body Among the 48 654 patients who underwent PPV in our hospital in the past 10 years, 28 patients with SCH were selected (an incidence of 0.06 %). The patients included 16 males and 12 females, with a mean age of (53.51 ± 10.21) years old and a mean follow-up time of (24.94 ± 14.60) days. Among them, 10 cases had other medical conditions, 1 had a medical history of anticoagulant drug use, and 21 had high myopia with a mean axial length of (28.21 ± 3.14) mm. Regarding the state of the crystalline lens, 3 had phakic eyes, 9 aphakic eyes, and 16 pseudophakic eyes (see Table 1 for more details). Indications of first PPV in our study included 17 cases of rhegmatogenous retinal detachment, 1 case of traction retinal detachment, 4 cases of vitreous hemorrhage, 4 cases of IOL dislocation, 1 case of macular hole, and 1 case of a vitreous foreign body ( Fig. 1). Except for 6 cases of cataract and glaucoma after vitrectomy, the other 22 cases were treated with posterior perfusion including 15 of 20G and 7 of 23G. After SCH occurrence, 2 cases were left with perfluorocarbon liquid, 3 patients with silicone oil, and 17 patients with perfusion fluid. Table 1General data of SCH associated with PPVTotal number of eyes (n)28Total number of patients (n)28Male: Female16:12Mean age (y)53.51 ± 10.21Follow-up time (d)24.94 ± 14.60Anticoagulant drug use1: 27High myopia21: 7Mean axial length (mm)28.21 ± 3.14State of crystalline lens Phakic eyes3 Aphakic eyes9 Pseudophakic eyes16local anesthesia: general anesthesia24: 4ESCH: DSCH24: 4Focal SCH: Diffuse SCH7: 21Fig. 1Indications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body General data of SCH associated with PPV Indications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body Pathogenesis of PPV-related SCH Of the patients studied, 8 showed SCH related to the first PPV, and 20 were related to the second intraocular surgery in vitrectomized eyes (71.43 %). Among them, silicone oil removal resulted in the highest occurrence of SCH, with 12 cases (43 %), 7 of which occurred during the first PPV (25 %), 3 during IOL suspension after PPV, 1 during IOL removal after PPV, 1 during cataract surgery after PPV, 1 after first PPV, 2 in post-cataract surgery after PPV, and 1 in post glaucoma surgery after PPV (see Fig. 2). Fig. 2Pathogenesis of SCH associated with PPV Pathogenesis of SCH associated with PPV Of the patients studied, 8 showed SCH related to the first PPV, and 20 were related to the second intraocular surgery in vitrectomized eyes (71.43 %). Among them, silicone oil removal resulted in the highest occurrence of SCH, with 12 cases (43 %), 7 of which occurred during the first PPV (25 %), 3 during IOL suspension after PPV, 1 during IOL removal after PPV, 1 during cataract surgery after PPV, 1 after first PPV, 2 in post-cataract surgery after PPV, and 1 in post glaucoma surgery after PPV (see Fig. 2). Fig. 2Pathogenesis of SCH associated with PPV Pathogenesis of SCH associated with PPV Comparison of SCH between first PPV group and second intraocular surgery in vitrectomized eyes group (see Table 2 for more details) Table 2Comparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes groupSCH related to first PPV group (8 cases)SCH related to second intraocular surgery in vitrectomized eyes group (20 cases)P-valueMale: Female2: 613: 70.096Age (y)61.88 ± 8.7150.55 ± 8.900.008Mean axial length (mm)27.70 ± 3.4728.09 ± 3.150.786Hemorrhage range (focal: diffuse)2: 65: 150.096Hemoorhage duration (ESCH: DSCH)7: 117: 31.000Baseline VA1.73 ± 0.591.74 ± 0.640.968Final VA1.48 ± 0.831.97 ± 0.740.174 Comparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes group Eight patients were included in Group 1, with 2 males and 6 females, with a mean age of (61.88 ± 8.71) years and a mean axial length of (27.70 ± 3.47) mm. Twenty cases were included in Group 2, with 13 males and 7 females, a mean age of (50.55 ± 8.90) years, and a mean axial length of (28.09 ± 3.15) mm. A chi-squared test was applied for sex on both groups, with P = 0.096, thus showing no statistical significance. An independent-samples t-test was used for age, with P = 0.008, showing statistical significance. The latter was also applied in the analysis of axial length, with P = 0.786, showing no statistical significance. The baseline vision was 1.73 ± 0.59 in Group 1 and 1.74 ± 0.64 in Group 2, with P = 0.968 using the independent-sample t-test. The final vision was 1.48 ± 0.83 in Group 1 and 1.97 ± 0.74 in Group 2, with P = 0.174, showing no statistical significance. There were 2 cases of focal hemorrhage and 6 cases of diffuse hemorrhage in Group 1, while 5 focal and 15 diffuse hemorrhages occurred in Group 2, with a chi-squared test indicating that there was no statistically significant difference (P = 0.096). There were 7 cases of ESCH and 1 of DSCH in Group 1, while 17 ESCH and 3 DSCH occurred in Group 2 with a chi-squared test presenting no statistically significant difference (P = 1.00). Table 2Comparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes groupSCH related to first PPV group (8 cases)SCH related to second intraocular surgery in vitrectomized eyes group (20 cases)P-valueMale: Female2: 613: 70.096Age (y)61.88 ± 8.7150.55 ± 8.900.008Mean axial length (mm)27.70 ± 3.4728.09 ± 3.150.786Hemorrhage range (focal: diffuse)2: 65: 150.096Hemoorhage duration (ESCH: DSCH)7: 117: 31.000Baseline VA1.73 ± 0.591.74 ± 0.640.968Final VA1.48 ± 0.831.97 ± 0.740.174 Comparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes group Eight patients were included in Group 1, with 2 males and 6 females, with a mean age of (61.88 ± 8.71) years and a mean axial length of (27.70 ± 3.47) mm. Twenty cases were included in Group 2, with 13 males and 7 females, a mean age of (50.55 ± 8.90) years, and a mean axial length of (28.09 ± 3.15) mm. A chi-squared test was applied for sex on both groups, with P = 0.096, thus showing no statistical significance. An independent-samples t-test was used for age, with P = 0.008, showing statistical significance. The latter was also applied in the analysis of axial length, with P = 0.786, showing no statistical significance. The baseline vision was 1.73 ± 0.59 in Group 1 and 1.74 ± 0.64 in Group 2, with P = 0.968 using the independent-sample t-test. The final vision was 1.48 ± 0.83 in Group 1 and 1.97 ± 0.74 in Group 2, with P = 0.174, showing no statistical significance. There were 2 cases of focal hemorrhage and 6 cases of diffuse hemorrhage in Group 1, while 5 focal and 15 diffuse hemorrhages occurred in Group 2, with a chi-squared test indicating that there was no statistically significant difference (P = 0.096). There were 7 cases of ESCH and 1 of DSCH in Group 1, while 17 ESCH and 3 DSCH occurred in Group 2 with a chi-squared test presenting no statistically significant difference (P = 1.00). Comparison between ESCH and DSCH (See Table 3 for more details) Table 3Comparison of ESCH and DSCHESCH group (24 cases)DSCH (4 cases)P-valueMale: Female12: 123: 10.600Age (y)54.29 ± 9.6550.75 ± 13.940.654Mean axial length (mm)28.10 ± 3.1127.27 ± 4.040.729Hemorrhage range (focal: diffuse)6: 181: 31.000Baseline VA1.73 ± 0.551.78 ± 1.040.927Final VA1.85 ± 0.771.71 ± 1.000.792 Comparison of ESCH and DSCH With regards to PPV-related cases, the incidence rate of ESCH was significantly greater (24 patients, 85.71 %) than for DSCH (4 patients, 14.29 %). In the ESCH group, 12 were male and 12 were female, with a mean age of (54.29 ± 9.65) years, and a mean axial length of (28.10 ± 3.11) mm. In comparison, the DSCH group included 3 males and 1 female, with a mean age of (50.75 ± 13.94) years and a mean axial length of (27.27 ± 4.04) mm. The influence of sex in both groups was analyzed using the chi-squared test (P = 0.60) and age was analyzed by an independent-sample t-test (P = 0.654), both of which showed no statistically significant differences. The baseline vision was 1.73 ± 0.55 in the ESCH group and 1.78 ± 1.04 in the DSCH group, and the final vision outcome was 1.85 ± 0.77 in the ESCH group and 1.71 ± 1.00 in the DSCH group. These differences were not significant, as shown by the independent-sample t-test (P = 0.927 and P = 0.792 for the baseline vision and final vision, respectively). There were 6 cases of focal and 18 of diffuse hemorrhages in the ESCH group, compared with 1 focal and 3 diffuse hemorrhages in the DSCH group. A chi-squared test indicated that there was no statistically significant difference (P = 1.00). Table 3Comparison of ESCH and DSCHESCH group (24 cases)DSCH (4 cases)P-valueMale: Female12: 123: 10.600Age (y)54.29 ± 9.6550.75 ± 13.940.654Mean axial length (mm)28.10 ± 3.1127.27 ± 4.040.729Hemorrhage range (focal: diffuse)6: 181: 31.000Baseline VA1.73 ± 0.551.78 ± 1.040.927Final VA1.85 ± 0.771.71 ± 1.000.792 Comparison of ESCH and DSCH With regards to PPV-related cases, the incidence rate of ESCH was significantly greater (24 patients, 85.71 %) than for DSCH (4 patients, 14.29 %). In the ESCH group, 12 were male and 12 were female, with a mean age of (54.29 ± 9.65) years, and a mean axial length of (28.10 ± 3.11) mm. In comparison, the DSCH group included 3 males and 1 female, with a mean age of (50.75 ± 13.94) years and a mean axial length of (27.27 ± 4.04) mm. The influence of sex in both groups was analyzed using the chi-squared test (P = 0.60) and age was analyzed by an independent-sample t-test (P = 0.654), both of which showed no statistically significant differences. The baseline vision was 1.73 ± 0.55 in the ESCH group and 1.78 ± 1.04 in the DSCH group, and the final vision outcome was 1.85 ± 0.77 in the ESCH group and 1.71 ± 1.00 in the DSCH group. These differences were not significant, as shown by the independent-sample t-test (P = 0.927 and P = 0.792 for the baseline vision and final vision, respectively). There were 6 cases of focal and 18 of diffuse hemorrhages in the ESCH group, compared with 1 focal and 3 diffuse hemorrhages in the DSCH group. A chi-squared test indicated that there was no statistically significant difference (P = 1.00). Analysis of SCH treatment, vision outcome, and vision-related factors With regards to SCH, 5 patients were simply observed, 4 were given single suprachoroidal drainage, 15 were given suprachoroidal drainage combined with silicone tamponade, 2 underwent anterior chamber puncture, and 2 abandoned treatment. One patient underwent a single suprachoroidal drainage and was injected with rt-PA (recombinant tissue plasminogen activator, rt-PA) in the suprachoroidal space on the fourth day after the occurrence of DSCH and drained after 4 h (see Case 2 for further details). Patients were followed up and the final corrected vision was seen to be: no light perception (NLP) ~ 20/30; among them, 2 eyes showed NLP (7.14 %), 16 could detect hand motions (HM) to light perception (LP), 4 could count fingers (CF) ~ 20/400, and 6 of index ≥ 20/200 (21.43 %) (See Table 4 for details). The final vision was significantly positively correlated with the baseline vision (r = 0.545, P = 0.000), but not significantly correlated with age (r=-0.113, P = 0.427) or axial length (r = 0.073, P = 0.611). Table 4Analysis of treatment in SCH, vision outcomeTreatment in SCHNumber Observe5 Suprachoroidal drainage4 Suprachoroidal drainage combining silicone tamponade15 Anterior chamber puncture2 Abandon2Visual outcomeNumber NLP2(7.14 %) LP ~ HM16(57.14 %) CF ~ 20/4004(14.28 %) ≧ 20/2006(21.43 %) Analysis of treatment in SCH, vision outcome With regards to SCH, 5 patients were simply observed, 4 were given single suprachoroidal drainage, 15 were given suprachoroidal drainage combined with silicone tamponade, 2 underwent anterior chamber puncture, and 2 abandoned treatment. One patient underwent a single suprachoroidal drainage and was injected with rt-PA (recombinant tissue plasminogen activator, rt-PA) in the suprachoroidal space on the fourth day after the occurrence of DSCH and drained after 4 h (see Case 2 for further details). Patients were followed up and the final corrected vision was seen to be: no light perception (NLP) ~ 20/30; among them, 2 eyes showed NLP (7.14 %), 16 could detect hand motions (HM) to light perception (LP), 4 could count fingers (CF) ~ 20/400, and 6 of index ≥ 20/200 (21.43 %) (See Table 4 for details). The final vision was significantly positively correlated with the baseline vision (r = 0.545, P = 0.000), but not significantly correlated with age (r=-0.113, P = 0.427) or axial length (r = 0.073, P = 0.611). Table 4Analysis of treatment in SCH, vision outcomeTreatment in SCHNumber Observe5 Suprachoroidal drainage4 Suprachoroidal drainage combining silicone tamponade15 Anterior chamber puncture2 Abandon2Visual outcomeNumber NLP2(7.14 %) LP ~ HM16(57.14 %) CF ~ 20/4004(14.28 %) ≧ 20/2006(21.43 %) Analysis of treatment in SCH, vision outcome In-depth analysis of two specific cases of SCH Case 1: patient was a 57-year-old male, with a past medical history of hypertension, heart disease, heart stenting, and oral anticoagulant drug treatment (warfarin was stopped five days before surgery and replaced by low-molecular-weight heparin sodium injection). The patient was given PPV combing IOL removal under general anesthesia due to IOL dislocating to the vitreous space. During PPV, ESCH occurred which was found to be diffuse SCH and was observed with medication. After four months, the patient’s vision was 20/30 with a flat fundus (Fig. 3). Fig. 3Fundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat Fundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat Case 2: patient was a 46-year-old male who had swelling with pain in the right eye for three hours after the second IOL ciliary sulcus implantation in a vitrectomized eye. The patient had previously received PPV and foreign body removal from the right eye two months before. The vision was LP and the intraocular pressure was 41 mmHg, with diffuse SCH involving the posterior pole with local retinal detachment but no retinal hole. The kissing sign could be seen on ultrasound examination. As no significant change occurred after four days, the patient was given a rt-PA injection in the suprachoroidal space and single suprachoroidal drainage was performed. Three days after drainage, the patient’s vision was 20/60 with an intraocular pressure of 8 mmHg, and a bulge was only seen in the upper choroid. Reexamination was carried out two months after surgery at which time the patient’s vision was 20/30 and both the fundus retina and choroid were flat (Fig. 4). Fig. 4Fundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid Fundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid Case 1: patient was a 57-year-old male, with a past medical history of hypertension, heart disease, heart stenting, and oral anticoagulant drug treatment (warfarin was stopped five days before surgery and replaced by low-molecular-weight heparin sodium injection). The patient was given PPV combing IOL removal under general anesthesia due to IOL dislocating to the vitreous space. During PPV, ESCH occurred which was found to be diffuse SCH and was observed with medication. After four months, the patient’s vision was 20/30 with a flat fundus (Fig. 3). Fig. 3Fundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat Fundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat Case 2: patient was a 46-year-old male who had swelling with pain in the right eye for three hours after the second IOL ciliary sulcus implantation in a vitrectomized eye. The patient had previously received PPV and foreign body removal from the right eye two months before. The vision was LP and the intraocular pressure was 41 mmHg, with diffuse SCH involving the posterior pole with local retinal detachment but no retinal hole. The kissing sign could be seen on ultrasound examination. As no significant change occurred after four days, the patient was given a rt-PA injection in the suprachoroidal space and single suprachoroidal drainage was performed. Three days after drainage, the patient’s vision was 20/60 with an intraocular pressure of 8 mmHg, and a bulge was only seen in the upper choroid. Reexamination was carried out two months after surgery at which time the patient’s vision was 20/30 and both the fundus retina and choroid were flat (Fig. 4). Fig. 4Fundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid Fundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid General patient data: Among the 48 654 patients who underwent PPV in our hospital in the past 10 years, 28 patients with SCH were selected (an incidence of 0.06 %). The patients included 16 males and 12 females, with a mean age of (53.51 ± 10.21) years old and a mean follow-up time of (24.94 ± 14.60) days. Among them, 10 cases had other medical conditions, 1 had a medical history of anticoagulant drug use, and 21 had high myopia with a mean axial length of (28.21 ± 3.14) mm. Regarding the state of the crystalline lens, 3 had phakic eyes, 9 aphakic eyes, and 16 pseudophakic eyes (see Table 1 for more details). Indications of first PPV in our study included 17 cases of rhegmatogenous retinal detachment, 1 case of traction retinal detachment, 4 cases of vitreous hemorrhage, 4 cases of IOL dislocation, 1 case of macular hole, and 1 case of a vitreous foreign body ( Fig. 1). Except for 6 cases of cataract and glaucoma after vitrectomy, the other 22 cases were treated with posterior perfusion including 15 of 20G and 7 of 23G. After SCH occurrence, 2 cases were left with perfluorocarbon liquid, 3 patients with silicone oil, and 17 patients with perfusion fluid. Table 1General data of SCH associated with PPVTotal number of eyes (n)28Total number of patients (n)28Male: Female16:12Mean age (y)53.51 ± 10.21Follow-up time (d)24.94 ± 14.60Anticoagulant drug use1: 27High myopia21: 7Mean axial length (mm)28.21 ± 3.14State of crystalline lens Phakic eyes3 Aphakic eyes9 Pseudophakic eyes16local anesthesia: general anesthesia24: 4ESCH: DSCH24: 4Focal SCH: Diffuse SCH7: 21Fig. 1Indications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body General data of SCH associated with PPV Indications for PPV in this study (figures are percentages). RRD = rhegmatogenous retinal detachment; TRD = tractional retinal detachment; VH = vitreous hemorrhage; MH = macular hole; vitreous FB = vitreous foreign body Pathogenesis of PPV-related SCH: Of the patients studied, 8 showed SCH related to the first PPV, and 20 were related to the second intraocular surgery in vitrectomized eyes (71.43 %). Among them, silicone oil removal resulted in the highest occurrence of SCH, with 12 cases (43 %), 7 of which occurred during the first PPV (25 %), 3 during IOL suspension after PPV, 1 during IOL removal after PPV, 1 during cataract surgery after PPV, 1 after first PPV, 2 in post-cataract surgery after PPV, and 1 in post glaucoma surgery after PPV (see Fig. 2). Fig. 2Pathogenesis of SCH associated with PPV Pathogenesis of SCH associated with PPV Comparison of SCH between first PPV group and second intraocular surgery in vitrectomized eyes group (see Table 2 for more details): Table 2Comparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes groupSCH related to first PPV group (8 cases)SCH related to second intraocular surgery in vitrectomized eyes group (20 cases)P-valueMale: Female2: 613: 70.096Age (y)61.88 ± 8.7150.55 ± 8.900.008Mean axial length (mm)27.70 ± 3.4728.09 ± 3.150.786Hemorrhage range (focal: diffuse)2: 65: 150.096Hemoorhage duration (ESCH: DSCH)7: 117: 31.000Baseline VA1.73 ± 0.591.74 ± 0.640.968Final VA1.48 ± 0.831.97 ± 0.740.174 Comparison of SCH between the first PPV group and the second intraocular surgery in vitrectomized eyes group Eight patients were included in Group 1, with 2 males and 6 females, with a mean age of (61.88 ± 8.71) years and a mean axial length of (27.70 ± 3.47) mm. Twenty cases were included in Group 2, with 13 males and 7 females, a mean age of (50.55 ± 8.90) years, and a mean axial length of (28.09 ± 3.15) mm. A chi-squared test was applied for sex on both groups, with P = 0.096, thus showing no statistical significance. An independent-samples t-test was used for age, with P = 0.008, showing statistical significance. The latter was also applied in the analysis of axial length, with P = 0.786, showing no statistical significance. The baseline vision was 1.73 ± 0.59 in Group 1 and 1.74 ± 0.64 in Group 2, with P = 0.968 using the independent-sample t-test. The final vision was 1.48 ± 0.83 in Group 1 and 1.97 ± 0.74 in Group 2, with P = 0.174, showing no statistical significance. There were 2 cases of focal hemorrhage and 6 cases of diffuse hemorrhage in Group 1, while 5 focal and 15 diffuse hemorrhages occurred in Group 2, with a chi-squared test indicating that there was no statistically significant difference (P = 0.096). There were 7 cases of ESCH and 1 of DSCH in Group 1, while 17 ESCH and 3 DSCH occurred in Group 2 with a chi-squared test presenting no statistically significant difference (P = 1.00). Comparison between ESCH and DSCH (See Table 3 for more details): Table 3Comparison of ESCH and DSCHESCH group (24 cases)DSCH (4 cases)P-valueMale: Female12: 123: 10.600Age (y)54.29 ± 9.6550.75 ± 13.940.654Mean axial length (mm)28.10 ± 3.1127.27 ± 4.040.729Hemorrhage range (focal: diffuse)6: 181: 31.000Baseline VA1.73 ± 0.551.78 ± 1.040.927Final VA1.85 ± 0.771.71 ± 1.000.792 Comparison of ESCH and DSCH With regards to PPV-related cases, the incidence rate of ESCH was significantly greater (24 patients, 85.71 %) than for DSCH (4 patients, 14.29 %). In the ESCH group, 12 were male and 12 were female, with a mean age of (54.29 ± 9.65) years, and a mean axial length of (28.10 ± 3.11) mm. In comparison, the DSCH group included 3 males and 1 female, with a mean age of (50.75 ± 13.94) years and a mean axial length of (27.27 ± 4.04) mm. The influence of sex in both groups was analyzed using the chi-squared test (P = 0.60) and age was analyzed by an independent-sample t-test (P = 0.654), both of which showed no statistically significant differences. The baseline vision was 1.73 ± 0.55 in the ESCH group and 1.78 ± 1.04 in the DSCH group, and the final vision outcome was 1.85 ± 0.77 in the ESCH group and 1.71 ± 1.00 in the DSCH group. These differences were not significant, as shown by the independent-sample t-test (P = 0.927 and P = 0.792 for the baseline vision and final vision, respectively). There were 6 cases of focal and 18 of diffuse hemorrhages in the ESCH group, compared with 1 focal and 3 diffuse hemorrhages in the DSCH group. A chi-squared test indicated that there was no statistically significant difference (P = 1.00). Analysis of SCH treatment, vision outcome, and vision-related factors: With regards to SCH, 5 patients were simply observed, 4 were given single suprachoroidal drainage, 15 were given suprachoroidal drainage combined with silicone tamponade, 2 underwent anterior chamber puncture, and 2 abandoned treatment. One patient underwent a single suprachoroidal drainage and was injected with rt-PA (recombinant tissue plasminogen activator, rt-PA) in the suprachoroidal space on the fourth day after the occurrence of DSCH and drained after 4 h (see Case 2 for further details). Patients were followed up and the final corrected vision was seen to be: no light perception (NLP) ~ 20/30; among them, 2 eyes showed NLP (7.14 %), 16 could detect hand motions (HM) to light perception (LP), 4 could count fingers (CF) ~ 20/400, and 6 of index ≥ 20/200 (21.43 %) (See Table 4 for details). The final vision was significantly positively correlated with the baseline vision (r = 0.545, P = 0.000), but not significantly correlated with age (r=-0.113, P = 0.427) or axial length (r = 0.073, P = 0.611). Table 4Analysis of treatment in SCH, vision outcomeTreatment in SCHNumber Observe5 Suprachoroidal drainage4 Suprachoroidal drainage combining silicone tamponade15 Anterior chamber puncture2 Abandon2Visual outcomeNumber NLP2(7.14 %) LP ~ HM16(57.14 %) CF ~ 20/4004(14.28 %) ≧ 20/2006(21.43 %) Analysis of treatment in SCH, vision outcome In-depth analysis of two specific cases of SCH: Case 1: patient was a 57-year-old male, with a past medical history of hypertension, heart disease, heart stenting, and oral anticoagulant drug treatment (warfarin was stopped five days before surgery and replaced by low-molecular-weight heparin sodium injection). The patient was given PPV combing IOL removal under general anesthesia due to IOL dislocating to the vitreous space. During PPV, ESCH occurred which was found to be diffuse SCH and was observed with medication. After four months, the patient’s vision was 20/30 with a flat fundus (Fig. 3). Fig. 3Fundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat Fundus image of Case 1. a is a fundus image of the fifth day of ESCH; b is a fundus image of the fourth month of ESCH showing that the retina was flat Case 2: patient was a 46-year-old male who had swelling with pain in the right eye for three hours after the second IOL ciliary sulcus implantation in a vitrectomized eye. The patient had previously received PPV and foreign body removal from the right eye two months before. The vision was LP and the intraocular pressure was 41 mmHg, with diffuse SCH involving the posterior pole with local retinal detachment but no retinal hole. The kissing sign could be seen on ultrasound examination. As no significant change occurred after four days, the patient was given a rt-PA injection in the suprachoroidal space and single suprachoroidal drainage was performed. Three days after drainage, the patient’s vision was 20/60 with an intraocular pressure of 8 mmHg, and a bulge was only seen in the upper choroid. Reexamination was carried out two months after surgery at which time the patient’s vision was 20/30 and both the fundus retina and choroid were flat (Fig. 4). Fig. 4Fundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid Fundus image and ultrasound examination of Case 2. a is a fundus image of the fourth day of DSCH; b is an ultrasound examination of the fourth day before rt-PA injection; c is an ultrasound examination showed partial liquidation of SCH 4 h after rt-PA injection; d is a fundus image of the third day after choroidal drainage showing that a bulge can only be seen in the upper choroid Discussion: SCH, defined as the accumulation of blood in the suprachoroidal space between the choroid and sclera, is a rare but severe complication during or after intraocular surgery that seriously threatens vision. The condition causes continuous retinal detachment, secondary glaucoma or hypotony, leading to a prognosis of poor vision, and even vision loss and eyeball atrophy. The mechanism of SCH remains unclear. Previous research has shown that the pathophysiological process of SCH involves multiple factors, and one of the induction factors is a sudden drop in intraocular pressure [1, 4, 5]. The long posterior ciliary artery is particularly fragile where it penetrates from the sclera into the suprachoroidal space and is easily ruptured; excessive low intraocular pressure causes rupture of the long or short posterior ciliary artery, resulting in SCH [1, 4, 5]. According to literature reports, the incidence rate of SCH during PPV is 0.09–4.3 % [7, 8], and 0.8 % [8] after PPV. The risk factors of SCH associated with PPV are mainly related to high myopia, aphakic/ pseudophakic eyes, surgical treatment of retinal detachment, and retinal freezing [5, 8, 10, 11]. However, the morphological characteristics and visual prognosis of SCH associated with PPV have not been reported. We summarized cases from our hospital over the last 10 years for cases of SCH related to a first PPV and SCH related to a second intraocular surgery in vitrectomized eyes, in an attempt to analyze the related risk factors, morphological characteristics, and vision prognosis. Among the 48 654 patients who underwent PPV in our hospital in the past 10 years, 28 SCH patients were selected (an incidence of 0.06 %), with 8 cases of SCH related to thefirst PPV and 20 related to the second intraocular surgery in vitrectomized eyes (71.43 %). Cases involving silicone oil removal surgery were the most abundant (12 cases; 43 %). The incidence rate of SCH related to second intraocular surgery in vitrectomized eyes was higher than that occurring in the first PPV surgery. We consider that in the second surgery in vitrectomized eyes, the frequent fluctuation of intraocular pressure occurred without the vitreous body, particularly due to repeated fluid-air exchange in the silicone oil removal surgery. With regards to the age at onset, the group comprising second intraocular surgery in vitrectomized eyes were slightly younger than the first PPV group. In our opinion, eye factors such as a repeated fluctuation of intraoperative intraocular pressure, high myopia, and aphakic/pseudophakic eyes were more important factors. The incidence rate of focal suprachoroidal hemorrhage associated with PPV was 25 %, and no incidence rate regarding focal suprachoroidal hemorrhage has been reported in the literature. There were 24 cases of ESCH (85.7 %), which was significantly higher than the DSCH incidence. Recent studies have shown the incidence rate of DSCH after PPV to be 0.8 %, which is similar to the rate of 1 % during surgery [9, 12]. However, the incidence rate of DSCH was lower in our study; this might be associated with the loss of patients who did not visit our hospital or received treatment in the outpatient department. Additionally, of the four DSCH cases, one occurred after vomiting while the induction factors in the other three were undetermined. Literature reports have demonstrated that SCH has significant correlations with advanced age, long axial length, rhegmatogenous retinal detachment, extensive retinal photocoagulation, oral anticoagulant drug use, and postoperative vomiting [8, 12–14]. In our study, there was high myopia in 75 % of cases, a mean axial length of 28.21 ± 3.14 mm, and aphakic and pseudophakic eyes in 89.29 % of cases, a mean age of 53.51 ± 10.21 years old, and only one case of oral anticoagulant use. Therefore, long axial length and aphakic/ pseudophakic eyes are absolute risk factors for SCH and are associated with the increased fragility of blood vessels in high myopia and choroidal effusion that is easily caused by a large vitreous space and little support in the sclera and vitreous body. For the prevention of SCH, we suggest that intraocular pressure fluctuation should be heeded during the operation, especially in the process of silicone oil removal. Every time the instrument is replaced, a scleral nail should be used to plug the puncture opening to seal the incision; the intraoperative instrument should be gently pressed against the eyeball to reduce the possibility of SCH occurrence. In the 28 cases of SCH associated with PPV, 5 eyes were simply observed, 4 were given single suprachoroidal drainage, 15 were given suprachoroidal drainage combined with silicone tamponade, 2 underwent anterior chamber puncture, and 2 abandoned treatment. According to literature reports, for non-traumatic surgery-related SCH, 70 % of patients’ vision was less than 20/400, with 12–57 % of SCH cases presenting NLP, which was even as high as 86 % in the end [4]. Among our cases, 7.14 % presented NLP and 21.43 % ≥ 20/200. The prognosis of SCH associated with PPV was relatively good. We suggest the following possible reasons:: (1) In normal vitreous eyes, when SCH occurs, the high bulge of the choroid would forcibly squeeze out the vitreous, causing the iris and crystalline lenses to shift forwards. The fronted vitreous and ocular contents would cause traction in the retina and choroid, resulting in further expansion of the SCH and retinal detachment, whereas in vitrectomized eyes, without strong traction of the vitreous, SCH tends to be localized and retinal detachment is rare. (2) Since there is no vitreous in vitrectomized eyes, the possibility of post-operative retinal proliferation is greatly reduced, thus decreasing the occurrence of continuous retinal detachment. (3) SCH occurs in vitrectomized eyes, and the postoperative inflammatory response is usually mild; it also reduces the postoperative proliferation. (4) There is internal perfusion during PPV, which can be rapidly increased when SCH occurs, thus, ocular hypotension usually does not last for an extended period. (5) The rise of postoperative intraocular pressure is controllable because “non-vitreous fluid” can easily be discharged from the anterior chamber angle and there is no extended severe pupillary block [15]. (6) The follow-up time is short and the assessment of long-term vision would increase the validity of the findings. Apart from a correlation with baseline vision, the visual prognosis of SCH is also related to the form of choroidal hemorrhage. Localized SCH or SCH without macular involvement has a better prognosis. In the case of diffuse SCH, the question of how to improve the prognosis as much as possible remains. The currently accepted treatment option is to perform suprachoroidal drainage surgery approximately two weeks after the occurrence of hemorrhage since the liquefaction of the blood clot at this time benefits the drainage of SCH [16]. However, even when the choroid has been reattached, it is impossible for the ocular tissue function to recover from damage caused by long-term hemorrhage. Therefore, early liquefaction and removal of blood clots in the suprachoroidal space to minimize the damage has become the core treatment in SCH, which is possible with the application of t-PA. In 1998, Kwon et al. first injected t-PA into the suprachoroidal space to treat SCH in animal experiments, and subsequently, there have been cases reported since 2012 [17–21]. In our study, one patient developed DSCH after a second IOL implantation in vitrectomized eyes (Case 2 above). On the fourth day after SCH, rt-PA (Alteplase, 10 µg/0.1 mL) was injected into the suprachoroidal space, where drainage was performed afterwards. This improved the patient’s vision from LP to 20/30 which significantly improved the prognosis. Therefore, for diffuse SCH, we need to use aggressive treatment to further improve the prognosis. There are, however, a number of shortcomings in this study: (1) The effects of intraoperative surgery were not counted, such as intraocular photocoagulation and retinal freezing; (2) The follow-up time was short and long-term visual prognosis was not analyzed; (3) The treatment methods such as t-PA treatment were not summarized because the SCH case numbers were low. Therefore, sample numbers should be increased and a multicentric study should be performed to reach a definite conclusion. In conclusion, the incidence rate of SCH associated with second intraocular surgery in vitrectomized eyes is higher which is related to the lack of vitreous support and is caused by easier fluctuation of intraocular pressure. SCH associated with PPV is more likely to be localized and has a relatively good prognosis. High myopia and aphakic/pseudophakic eyes remain the highest risk factors for SCH. Adequate preoperative assessment of the patient’s general condition should be performed, and intraoperative surgery should be careful to avoid fluctuation in intraocular pressure, especially for patients undergoing second intraocular surgery in vitrectomized eyes. Furthermore, attention should be paid to risk prevention; the incision closure should be made carefully in order to reduce the risk of wound leakage, and any side-effects of anesthesia should be treated promptly and aggressively once it occurs to save the patient’s vision.
Background: Retrospective case series study, not applicable. Methods: Cases of SCH associated with PPV excluding trauma were retrospectively analyzed in Beijing Tongren Hospital between January 2010 and June 2020. The data collected included general data, myopia status, axial length, state of the crystalline lens, SCH onset time, range, treatment method, visual prognosis, and methods of operation and anesthesia. Patients were divided into those with SCH related to the first PPV (Group 1), and SCH related to second intraocular surgery in the vitrectomized eye (Group 2). Patients were also classified by the SCH onset time into either the expulsive suprachoroidal hemorrhage group (ESCH) and the delayed suprachoroidal hemorrhage group (DSCH). The general data, related risk factors, and the visual prognosis of SCH in the different groups were analyzed. Results: SCH associated with PPV was studied in 28 cases with an incidence of 0.06 %; 16 males and 12 females. The mean age of the patients was (53.51 ± 10.21) years old, the mean follow-up time was (24.94 ± 14.60) days, and the mean axial length was (28.21 ± 3.14) mm. Of these cases, 21 were classified as high myopia, 25 as aphakia/ pseudophakic, and 7 as focal hemorrhage. Silicone oil removal occurred in 12 cases (43 %). Patients in Group 2 were younger than Group 1 (P = 0.005). In terms of treatment and prognosis, 5 eyes were simply closely observed, 4 were given single suprachoroidal drainage, 15 were given suprachoroidal drainage combined with silicone tamponade, 2 underwent anterior chamber puncture, and 2 gave up treatment. A follow-up vision: NLP ~ 20/30; among them, 2 eyes with NLP (7.14 %), 6 of ≥ 20/200 (21.43 %). The final outcomes presented a significantly positive correlation with baseline vision but no significant correlation with age or axial length. Conclusions: SCH has a higher incidence rate after a second intraocular surgery in a vitrectomized eye which is associated with the lack of vitreous support and easier fluctuation of intraocular pressure. SCH associated with PPV is more localized and has a relatively good prognosis; high myopia and aphakic/ pseudophakic eyes are risk factors. Active treatment can effectively improve visual prognosis.
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10,085
452
[ 256, 767, 215, 76, 88, 442, 136, 449, 388, 295, 534 ]
13
[ "sch", "ppv", "group", "cases", "vision", "surgery", "eyes", "patients", "esch", "dsch" ]
[ "eyes sch occurs", "intraocular pressure sch", "suprachoroidal hemorrhage sch", "visual prognosis sch", "retinal detachment sch" ]
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[CONTENT] Suprachoroidal hemorrhage | Pars plana vitrectomy | Vitrectomized eye [SUMMARY]
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[CONTENT] Suprachoroidal hemorrhage | Pars plana vitrectomy | Vitrectomized eye [SUMMARY]
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[CONTENT] Suprachoroidal hemorrhage | Pars plana vitrectomy | Vitrectomized eye [SUMMARY]
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[CONTENT] Adult | Choroid Hemorrhage | Female | Humans | Intraocular Pressure | Male | Middle Aged | Retinal Detachment | Retrospective Studies | Visual Acuity | Vitrectomy [SUMMARY]
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[CONTENT] Adult | Choroid Hemorrhage | Female | Humans | Intraocular Pressure | Male | Middle Aged | Retinal Detachment | Retrospective Studies | Visual Acuity | Vitrectomy [SUMMARY]
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[CONTENT] Adult | Choroid Hemorrhage | Female | Humans | Intraocular Pressure | Male | Middle Aged | Retinal Detachment | Retrospective Studies | Visual Acuity | Vitrectomy [SUMMARY]
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[CONTENT] eyes sch occurs | intraocular pressure sch | suprachoroidal hemorrhage sch | visual prognosis sch | retinal detachment sch [SUMMARY]
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[CONTENT] eyes sch occurs | intraocular pressure sch | suprachoroidal hemorrhage sch | visual prognosis sch | retinal detachment sch [SUMMARY]
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[CONTENT] eyes sch occurs | intraocular pressure sch | suprachoroidal hemorrhage sch | visual prognosis sch | retinal detachment sch [SUMMARY]
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[CONTENT] sch | ppv | group | cases | vision | surgery | eyes | patients | esch | dsch [SUMMARY]
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[CONTENT] sch | ppv | group | cases | vision | surgery | eyes | patients | esch | dsch [SUMMARY]
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[CONTENT] sch | ppv | group | cases | vision | surgery | eyes | patients | esch | dsch [SUMMARY]
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[CONTENT] sch | suprachoroidal hemorrhage | suprachoroidal | hemorrhage | related risk factors prognosis | factors prognosis | sch divided | risk factors prognosis | retinal | rate sch [SUMMARY]
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[CONTENT] group | image | fundus | ppv | fundus image | sch | cases | esch | mean | vision [SUMMARY]
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[CONTENT] sch | group | ppv | cases | data | related | vision | surgery | logmar | suprachoroidal [SUMMARY]
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[CONTENT] [SUMMARY]
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[CONTENT] PPV | 28 | 0.06 % | 16 | 12 ||| 53.51 ± | 10.21) years old | 24.94 ± | 14.60) days | 28.21 ±  | 3.14 | mm ||| 21 | 25 | 7 ||| 12 | 43 % ||| 2 | Group 1 | 0.005 ||| 5 | 4 | 15 | 2 | 2 ||| NLP | 20/30 | 2 | NLP | 7.14 % | 6 | 21.43 % ||| [SUMMARY]
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[CONTENT] ||| PPV | Beijing Tongren Hospital | between January 2010 and June 2020 ||| anesthesia ||| first | PPV | 1 | second | 2 ||| SCH ||| ||| PPV | 28 | 0.06 % | 16 | 12 ||| 53.51 ± | 10.21) years old | 24.94 ± | 14.60) days | 28.21 ±  | 3.14 | mm ||| 21 | 25 | 7 ||| 12 | 43 % ||| 2 | Group 1 | 0.005 ||| 5 | 4 | 15 | 2 | 2 ||| NLP | 20/30 | 2 | NLP | 7.14 % | 6 | 21.43 % ||| ||| second ||| PPV ||| [SUMMARY]
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Dysregulation of lncRNA and circRNA Expression in Mouse Testes after Exposure to Triptolide.
31362668
Triptolide has been shown to exert various pharmacological effects on systemic autoimmune diseases and cancers. However, its severe toxicity, especially reproductive toxicity, prevents its widespread clinical use for people with fertility needs. Noncoding RNAs including lncRNAs and circRNAs are novel regulatory molecules that mediate a wide variety of physiological activities; they are crucial for spermatogenesis and their dysregulation might cause male infertility. However, whether they are involved in triptolide-induced reproductive toxicity is completely unknown.
BACKGROUND
After exposure of mice to triptolide, the total RNAs were used to investigate lncRNA/circRNA/mRNA expression profiles by strand-specific RNA sequencing at the transcriptome level to help uncover RNA-related mechanisms in triptolide-induced toxicity.
METHODS
Triptolide significantly decreased testicular weight, damaged testis and sperm morphology, and reduced sperm motility and density. Remarkable deformities in sperm head and tail were also found in triptolide-exposed mice. At the transcriptome level, the triptolide-treated mice exhibited aberrant expression profiles of lncRNAs/circRNAs/mRNAs. Gene Ontology and pathway analyses revealed that the functions of the differentially expressed lncRNA targets, circRNA cognate genes, and mRNAs were closely linked to many processes involved in spermatogenesis. In addition, some lncRNAs/circRNAs were greatly upregulated or inducibly expressed, implying their potential value as candidate markers for triptolide-induced male reproductive toxicity.
RESULTS
This study provides a preliminary database of triptolide-induced transcriptome, promotes understanding of the reproductive toxicity of triptolide, and highlights the need for research on increasing the medical efficacy of triptolide and decreasing its toxicity.
CONCLUSION
[ "Animals", "Antispermatogenic Agents", "Diterpenes", "Epoxy Compounds", "Male", "Mice, Inbred C57BL", "Phenanthrenes", "RNA, Circular", "RNA, Long Noncoding", "RNA, Messenger", "Sperm Motility", "Spermatogenesis", "Spermatozoa", "Testis", "Transcriptome" ]
7062010
INTRODUCTION
Triptolide is a unique diterpene triepoxide isolated from the Chinese medicinal plant Tripterygium wilfordii Hook f., which is used to treat various rheumatological [1] and dermatological conditions [2]. Recently, triptolide has been reported to exert efficient antitumor activity in various human cancers [3-6], and is very promising as a potential new anticancer drug. However, exposure to triptolide could result in injury of various organs in animals and humans [7]. It has also been reported to cause subfertility and infertility by disturbing spermatogenesis and sperm function in rodents [8-10]. These side effects prevent its widespread clinical use for those with fertility needs. There is thus an urgent need to uncover the mechanisms underlying triptolide-induced reproductive toxicity and to identify measures for decreasing triptolide’s toxicity. Long noncoding RNAs (lncRNAs), which are novel regulatory molecules of >200 bp in length, participate in most pathophysiological processes and human diseases. Global genome expression profiles of lncRNAs have indicated that many lncRNAs are highly enriched and exclusively expressed in testes and/or spermatogenic cells [11-13]. Recent studies have also shown that functional deficiency of key lncRNAs could decrease the sperm count in mice, and even cause male infertility in Drosophila [14, 15], suggesting that lncRNAs play crucial roles in spermatogenesis. lncRNAs could also act as indicators of stress due to environmental pollutants and boost our understanding of the pharmacological or toxicological mechanisms of drugs and toxicants [16, 17]. However, it has remained unclear whether the abnormal expression and/or regulation of lncRNAs is involved in triptolide-induced infertility. Circular RNAs (circRNAs) are the products of a unique type of alternative splicing, by which the 3′-end of an exon is spliced to the 5´-end of an upstream exon [18]. The production of circRNAs is probably a highly regulated cell/tissue/age-type-specific process, and among lncRNAs, these molecules are of particular interest in gene regulation. They might thus become biomarkers for diseases of male infertility and exposure to pollutant stress [19, 20]. In a recent report, it was described that key circRNAs participate in testis development or spermatogenesis [21]. Because triptolide could lead to abnormal spermatogenesis, we were interested in whether circRNAs intervened in triptolide-induced reproductive toxicity. Here, we explored the lncRNA/circRNA-related mechanisms of triptolide-induced male reproductive toxicology by investigating lncRNA/circRNA/mRNA expression profiles at the transcriptome level by strand-specific RNA sequencing.
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RESULTS
Effects of Triptolide on Testis and Sperm Morphology and Physiological Sperm Parameters To confirm triptolide induced reproductive toxicity in vivo, histological changes of testes and sperm, and sperm functional parameters were investigated. As shown in Fig. (1A and 1B), triptolide led to significant histological changes in the testis, such as a decrease of spermatogenetic cells, lumen shrinkage, vacuolation, and other morphological abnormalities. After exposure of mice to triptolide for 35 days, there was no significant difference in the body weights of mice in the two groups (Fig. 1C), the testicular weight decreased significantly (P < 0.05) in the triptolide group compared with that in the control group (Fig. 1D). In addition, there were remarkable increases in sperm head and tail abnormalities (45.75%) (Fig. 1E, 1F and 1G) and significant reductions in sperm motility and density after triptolide exposure (Fig. 1H and 1I). To confirm triptolide induced reproductive toxicity in vivo, histological changes of testes and sperm, and sperm functional parameters were investigated. As shown in Fig. (1A and 1B), triptolide led to significant histological changes in the testis, such as a decrease of spermatogenetic cells, lumen shrinkage, vacuolation, and other morphological abnormalities. After exposure of mice to triptolide for 35 days, there was no significant difference in the body weights of mice in the two groups (Fig. 1C), the testicular weight decreased significantly (P < 0.05) in the triptolide group compared with that in the control group (Fig. 1D). In addition, there were remarkable increases in sperm head and tail abnormalities (45.75%) (Fig. 1E, 1F and 1G) and significant reductions in sperm motility and density after triptolide exposure (Fig. 1H and 1I). lncRNA, circRNA, and mRNA Expression Profiles In the present study, upon comparison with the control group, differentially expressed lncRNAs/circRNAs/mRNAs in the testes were detected 35 days after the exposure of mice to triptolide. Our data revealed that there were 33,057 detectable lncRNAs and 11,956 circRNAs in testes. As shown in Fig. (2), 344 lncRNAs were upregulated and 143 were downregulated by triptolide (≥2.0-fold change, P < 0.05). For circRNAs, 374 were upregulated and 206 were downregulated after triptolide exposure. Simultaneously, 2551 mRNAs were upregulated and 1,028 were downregulated by triptolide treatment. We speculated that these dysregulated lncRNAs/circRNAs/mRNAs might be good candidate markers for triptolide-induced male reproductive toxicity and would be worthy of further study. Detailed information on all of the differentially expressed lncRNAs/circRNAs/mRNAs is provided in Supplementary Tables S1-S3. In the present study, upon comparison with the control group, differentially expressed lncRNAs/circRNAs/mRNAs in the testes were detected 35 days after the exposure of mice to triptolide. Our data revealed that there were 33,057 detectable lncRNAs and 11,956 circRNAs in testes. As shown in Fig. (2), 344 lncRNAs were upregulated and 143 were downregulated by triptolide (≥2.0-fold change, P < 0.05). For circRNAs, 374 were upregulated and 206 were downregulated after triptolide exposure. Simultaneously, 2551 mRNAs were upregulated and 1,028 were downregulated by triptolide treatment. We speculated that these dysregulated lncRNAs/circRNAs/mRNAs might be good candidate markers for triptolide-induced male reproductive toxicity and would be worthy of further study. Detailed information on all of the differentially expressed lncRNAs/circRNAs/mRNAs is provided in Supplementary Tables S1-S3. GO Analysis and KEGG Pathway Analysis The expression of numerous lncRNAs/circRNAs/mRNAs revealed significant dysregulation after the exposure of mice to triptolide for 35 days. To uncover the functions of abnormal lncRNAs/circRNAs/mRNAs, bioinformatic enrichment analyses of GO terms and KEGG pathways were performed. GO analysis showed that the genes with aberrant lncRNA targets are mainly involved in the following biological processes: genetic imprinting, nodal signaling pathway, regulation of bone mineralization, bio-mineral tissue development, DNA methylation, DNA alkylation, and RNA metabolic and biosynthetic processes. Differentially expressed circRNA cognate genes mainly participate in post-translational protein targeting endoplasmic reticulum membrane, protein localization to endoplasmic reticulum, biological regulation, nucleoside metabolic process, chromosome separation, chromosome segregation, nuclear division, and organelle fission. The significantly enriched GO terms of the differentially expressed mRNAs included cellular metabolic process, chromosome organization, and DNA metabolic process (Table 2). KEGG pathway analysis of the differentially expressed lncRNA target genes identified the main categories of apoptosis, estrogen signaling pathway, GnRH signaling pathway, calcium signaling pathway, cAMP signaling pathway, systemic lupus erythematosus, mismatch repair, autophagy, and PI3K-Akt signaling pathway and other pathways. Analysis of circRNA cognate genes showed that they are involved in the Fanconi anemia pathway, ubiquitin-mediated proteolysis, and thiamine metabolism pathway. Metabolic process, ErbB signaling pathway, actin cytoskeleton, RNA degradation and transport, RNA degradation and transport, apoptosis, cell cycle, and MAPK signaling pathway were affected by triptolide exposure, as shown by mapping the differentially expressed mRNA genes to the KEGG database (Table 3). The expression of numerous lncRNAs/circRNAs/mRNAs revealed significant dysregulation after the exposure of mice to triptolide for 35 days. To uncover the functions of abnormal lncRNAs/circRNAs/mRNAs, bioinformatic enrichment analyses of GO terms and KEGG pathways were performed. GO analysis showed that the genes with aberrant lncRNA targets are mainly involved in the following biological processes: genetic imprinting, nodal signaling pathway, regulation of bone mineralization, bio-mineral tissue development, DNA methylation, DNA alkylation, and RNA metabolic and biosynthetic processes. Differentially expressed circRNA cognate genes mainly participate in post-translational protein targeting endoplasmic reticulum membrane, protein localization to endoplasmic reticulum, biological regulation, nucleoside metabolic process, chromosome separation, chromosome segregation, nuclear division, and organelle fission. The significantly enriched GO terms of the differentially expressed mRNAs included cellular metabolic process, chromosome organization, and DNA metabolic process (Table 2). KEGG pathway analysis of the differentially expressed lncRNA target genes identified the main categories of apoptosis, estrogen signaling pathway, GnRH signaling pathway, calcium signaling pathway, cAMP signaling pathway, systemic lupus erythematosus, mismatch repair, autophagy, and PI3K-Akt signaling pathway and other pathways. Analysis of circRNA cognate genes showed that they are involved in the Fanconi anemia pathway, ubiquitin-mediated proteolysis, and thiamine metabolism pathway. Metabolic process, ErbB signaling pathway, actin cytoskeleton, RNA degradation and transport, RNA degradation and transport, apoptosis, cell cycle, and MAPK signaling pathway were affected by triptolide exposure, as shown by mapping the differentially expressed mRNA genes to the KEGG database (Table 3). qPCR Confirmation We randomly selected six lncRNAs and two circRNAs from the pool of lncRNAs/circRNAs with fold change > 2.0 and analyzed their expression levels by a qPCR in testes to validate the reliability of our sequencing data. We also further investigated the expression levels of four spermatogenesis-required mRNA genes (Prm1, Prm2, Tnp1, and Tnp2), which were selected from 54 differentially expressed mRNAs enriched for the spermatogenesis GO term (Table 4). As shown in Fig. (3), the qPCR results were consistent with the sequencing data and showed the same trend of dysregulation for each lncRNA/circRNA/mRNA (Fig. 3). We randomly selected six lncRNAs and two circRNAs from the pool of lncRNAs/circRNAs with fold change > 2.0 and analyzed their expression levels by a qPCR in testes to validate the reliability of our sequencing data. We also further investigated the expression levels of four spermatogenesis-required mRNA genes (Prm1, Prm2, Tnp1, and Tnp2), which were selected from 54 differentially expressed mRNAs enriched for the spermatogenesis GO term (Table 4). As shown in Fig. (3), the qPCR results were consistent with the sequencing data and showed the same trend of dysregulation for each lncRNA/circRNA/mRNA (Fig. 3).
CONCLUSION
In summary, to the best of our knowledge, our study is the first to obtain genome-wide lncRNA/circRNA/mRNA expression profiles in mice with triptolide-induced subfertility, which was achieved using strand-specific RNA sequencing in testes. This study provides a solid theoretical foundation and preliminary database for further research into the molecular mechanisms by which lncRNAs/circRNAs play significant roles in triptolide-induced reproductive toxicity. Additionally, mice with triptolide-induced infertility might serve as a good model for revealing the functional noncoding RNAs involved in spermatogenesis.
[ "Chemicals", "Animals and Treatments", "Sperm Functional Parameter Analysis", "Histological Staining", "RNA Isolation", "Deep Sequencing and Bioinformatic Analysis", "Quantitative Polymerase Chain Reaction (qPCR)", "Statistical Analysis", "Effects of Triptolide on Testis and Sperm Morphology and Physiological Sperm Parameters", "lncRNA, circRNA, and mRNA Expression Profiles", "GO Analysis and KEGG Pathway Analysis", "qPCR Confirmation", "ETHICS APPROVAL AND CONSENT TO PARTICIPATE", "HUMAN AND ANIMAL RIGHTS", "CONSENT FOR PUBLICATION", "FUNDING" ]
[ "Triptolide (>98% purity) was purchased from EFEBIO Co., Ltd. (Shanghai, China). All other chemicals obtained from local companies were of analytical purity.", "Ten-week-old male C57BL/6J mice (body weight 25.0 ± 1.5 g) were obtained from Beijing Vital River Laboratory Animal Technology Co., Ltd. (Beijing, China). All mice were kept at constant temperature (22 ± 2 °C) and relative humidity (40%-60%) with a 12/12-h light/dark cycle and were allowed to acclimate for 1 week before the experiments. The mice were divided randomly into two groups. The triptolide group (n = 6) was subjected to the intragastric (i.g.) administration of triptolide at 50 μg/kg body weight/day. The control group (n = 6) was fed saline (0.9% NaCl). The mice were killed by cervical dislocation 35 days after treatment. Testes and epididymal spermatozoa were quickly isolated and harvested for further study. All the experiments were carried out in accordance with the guidelines of the Institutional Animal Ethics Committee (IAEC) of Nanchang University (Nanchang, China).", "Sperm suspensions were obtained from cauda epididymis and then the sperm were allowed to swim out into high-saline (HS) solution (135 mM NaCl, 5 mM KCl, 1 mM MgSO4, 2 mM CaCl2, 20 mM HEPES, 5 mM glucose, 10 mM lactic acid, and 1 mM Na-pyruvate at pH 7.4 with NaOH) in a 5% CO2/air incubator (Heal Force, Hong Kong, China) at 37 °C for 15 min, as described previously [22]. Sperm concentration, motility, and morphology were analyzed in a Makler counting chamber (Sefi Medical Instruments, Haifa, Israel) by a computer-assisted semen analysis system (CASA; Hamilton Thorne, Danvers, MA, USA). At least 200 spermatozoa were counted for each assay.", "The mouse testes were isolated and immediately fixed in 4% formaldehyde solution, embedded in paraffin, sectioned at a thickness of 5 μm, and then stained with hematoxylin and eosin (H&E). Hepatic pathological changes were observed under a light microscope (Olympus, Tokyo, Japan) at 200× magnification.", "Total RNAs were extracted from the testes using TaKaRa MiniBEST Universal RNA Extraction Kit (TaKaRa, Dalian, China), in accordance with the manufacturer’s protocol. The concentration and purity of the total RNA samples were evaluated using a NanoPhotometer (IMPLEN, Munich, Germany) with optical density measurements at A260/A280= 1.8 - 2.2. The integrity of RNA was examined using the 2100 Bioanalyzer (Agilent Corporation, Palo Alto, CA, USA) and by electrophoresis in 1.5% agarose gel to meet sequencing requirements.", "After the rRNA had been depleted from total RNA using Ribo-Zero™ rRNA Removal Kit (Illumina, San Diego, CA, USA), next-generation sequencing library was constructed in accordance with the manufacturer’s protocol (NEBNext® Ultra™ Directional RNA Library Prep Kit for Illumina®). Sequencing was carried out using a 2 × 150 paired-end (PE) configuration. The sequences were processed and analyzed by GENEWIZ, Inc. (Suzhou, China). After the raw data produced by the Illumina HiSeq™ X Ten platform had been subjected to quality control tests, the clean data were aligned to a reference genome using the software Hisat2 (v2.0.1). Then, HTSeq (v0.6.1) was used to estimate gene and isoform expression levels from the paired-end clean data. Differential expression analysis was performed using the DESeq Bioconductor package, a model based on negative binomial distribution. After adjustment by Benjamini and Hochberg’s approach for controlling the false discovery rate, a P-value threshold of <0.05 for genes was set to define differential expressed ones. lncRNA-targeted genes were predicted based on cis and trans regulatory principles. The cis regulation by lncRNAs could be predicted by the software Bedtools (v2.17.0) and regulation in trans was analyzed via Blast (v 2.2.28+). CIRI (V2.0) software and CircBase were used to identify and screen the circRNAs, and the expression levels of circRNAs were calculated using spliced reads per billion mapping (SRPBM). Gene Ontology (GO; http://www.geneontology.org) and Kyoto Encyclopedia of Genes and Genomes (KEGG; http://www.genome.jp/kegg/) pathway analyses were applied to determine the functional roles of the differentially expressed lncRNA targets, cognate mRNAs of circRNAs, and mRNAs. GO terms and KEGG pathways with corrected P-values < 0.05 were considered to be significantly associated with the differentially expressed genes.", "One microgram of total RNA was reverse-transcribed to cDNA using PrimeScript™ RT reagent kits with gDNA Eraser (TaKaRa Bio Inc., Otsu, Japan), in accordance with the manufacturer’s protocol. The qPCR procedure was performed with denaturation at 98°C for 60 s, followed by 40 cycles of denaturation at 98°C for 5 s, annealing at 58°C for 20 s, and extension at 72°C for 20 s. qPCR was conducted with the StepOnePlus™ Real-Time PCR System (Applied Biosystems, Foster City, CA, USA) using the SYBR Premix DimerEraser Kit (TaKaRa), in accordance with the manufacturer’s instructions. The expression level of the β-actin gene was used as an internal control to normalize the related gene expression levels. Samples were run at least three times with good reproducibility. The primer sequences for the lncRNAs/circRNAs/mRNAs used for qPCR are shown in Table 1. All the primers were designed with Primer Premier 5 (Biosoft International, Palo Alto, CA, USA) and produced by GENEWIZ, Inc. (Suzhou, China).", "The data are expressed as the mean ± Standard Error of the Mean (SEM). All the statistical analyses were performed using GraphPad Prism (GraphPad Software, San Diego, CA, USA). Comparisons between the control and triptolide-treated groups were performed using t-tests. P < 0.05 was regarded as statistically significant and P < 0.01 was considered extremely statistically significant.", "To confirm triptolide induced reproductive toxicity in vivo, histological changes of testes and sperm, and sperm functional parameters were investigated. As shown in Fig. (1A and 1B), triptolide led to significant histological changes in the testis, such as a decrease of spermatogenetic cells, lumen shrinkage, vacuolation, and other morphological abnormalities. After exposure of mice to triptolide for 35 days, there was no significant difference in the body weights of mice in the two groups (Fig. 1C), the testicular weight decreased significantly (P < 0.05) in the triptolide group compared with that in the control group (Fig. 1D). In addition, there were remarkable increases in sperm head and tail abnormalities (45.75%) (Fig. 1E, 1F and 1G) and significant reductions in sperm motility and density after triptolide exposure (Fig. 1H and 1I).", "In the present study, upon comparison with the control group, differentially expressed lncRNAs/circRNAs/mRNAs in the testes were detected 35 days after the exposure of mice to triptolide. Our data revealed that there were 33,057 detectable lncRNAs and 11,956 circRNAs in testes. As shown in Fig. (2), 344 lncRNAs were upregulated and 143 were downregulated by triptolide (≥2.0-fold change, P < 0.05). For circRNAs, 374 were upregulated and 206 were downregulated after triptolide exposure. Simultaneously, 2551 mRNAs were upregulated and 1,028 were downregulated by triptolide treatment. We speculated that these dysregulated lncRNAs/circRNAs/mRNAs might be good candidate markers for triptolide-induced male reproductive toxicity and would be worthy of further study. Detailed information on all of the differentially expressed lncRNAs/circRNAs/mRNAs is provided in Supplementary Tables S1-S3.", "The expression of numerous lncRNAs/circRNAs/mRNAs revealed significant dysregulation after the exposure of mice to triptolide for 35 days. To uncover the functions of abnormal lncRNAs/circRNAs/mRNAs, bioinformatic enrichment analyses of GO terms and KEGG pathways were performed. GO analysis showed that the genes with aberrant lncRNA targets are mainly involved in the following biological processes: genetic imprinting, nodal signaling pathway, regulation of bone mineralization, bio-mineral tissue development, DNA methylation, DNA alkylation, and RNA metabolic and biosynthetic processes. Differentially expressed circRNA cognate genes mainly participate in post-translational protein targeting endoplasmic reticulum membrane, protein localization to endoplasmic reticulum, biological regulation, nucleoside metabolic process, chromosome separation, chromosome segregation, nuclear division, and organelle fission. The significantly enriched GO terms of the differentially expressed mRNAs included cellular metabolic process, chromosome organization, and DNA metabolic process (Table 2).\nKEGG pathway analysis of the differentially expressed lncRNA target genes identified the main categories of apoptosis, estrogen signaling pathway, GnRH signaling pathway, calcium signaling pathway, cAMP signaling pathway, systemic lupus erythematosus, mismatch repair, autophagy, and PI3K-Akt signaling pathway and other pathways. Analysis of circRNA cognate genes showed that they are involved in the Fanconi anemia pathway, ubiquitin-mediated proteolysis, and thiamine metabolism pathway. Metabolic process, ErbB signaling pathway, actin cytoskeleton, RNA degradation and transport, RNA degradation and transport, apoptosis, cell cycle, and MAPK signaling pathway were affected by triptolide exposure, as shown by mapping the differentially expressed mRNA genes to the KEGG database (Table 3).", "We randomly selected six lncRNAs and two circRNAs from the pool of lncRNAs/circRNAs with fold change > 2.0 and analyzed their expression levels by a qPCR in testes to validate the reliability of our sequencing data. We also further investigated the expression levels of four spermatogenesis-required mRNA genes (Prm1, Prm2, Tnp1, and Tnp2), which were selected from 54 differentially expressed mRNAs enriched for the spermatogenesis GO term (Table 4). As shown in Fig. (3), the qPCR results were consistent with the sequencing data and showed the same trend of dysregulation for each lncRNA/circRNA/mRNA (Fig. 3).", "All the experiments were carried out in accordance with the guidelines of the Institutional Animal Ethics Committee (IAEC) of Nanchang University (Nanchang, China).", "No humans were involved in this study, the reported experiments on animals were in accordance with the standards set forth in the 8th Edition of Guide for the Care and Use of Laboratory Animals (http://grants.nih.gov/grants/olaw/Guide-for-thecare-and-use-of-laboratory-animals.pdf) published by the National Academy of Sciences.", "Not applicable.", "This research was supported by the National Natural Science Foundation of China (81760283 and 31801238)." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "INTRODUCTION", "MATERIALS AND METHODS", "Chemicals", "Animals and Treatments", "Sperm Functional Parameter Analysis", "Histological Staining", "RNA Isolation", "Deep Sequencing and Bioinformatic Analysis", "Quantitative Polymerase Chain Reaction (qPCR)", "Statistical Analysis", "RESULTS", "Effects of Triptolide on Testis and Sperm Morphology and Physiological Sperm Parameters", "lncRNA, circRNA, and mRNA Expression Profiles", "GO Analysis and KEGG Pathway Analysis", "qPCR Confirmation", "DISCUSSION", "CONCLUSION", "ETHICS APPROVAL AND CONSENT TO PARTICIPATE", "HUMAN AND ANIMAL RIGHTS", "CONSENT FOR PUBLICATION", "AVAILABILITY OF DATA AND MATERIALS", "FUNDING" ]
[ "Triptolide is a unique diterpene triepoxide isolated from the Chinese medicinal plant Tripterygium wilfordii Hook f., which is used to treat various rheumatological [1] and dermatological conditions [2]. Recently, triptolide has been reported to exert efficient antitumor activity in various human cancers [3-6], and is very promising as a potential new anticancer drug. However, exposure to triptolide could result in injury of various organs in animals and humans [7]. It has also been reported to cause subfertility and infertility by disturbing spermatogenesis and sperm function in rodents [8-10]. These side effects prevent its widespread clinical use for those with fertility needs. There is thus an urgent need to uncover the mechanisms underlying triptolide-induced reproductive toxicity and to identify measures for decreasing triptolide’s toxicity.\nLong noncoding RNAs (lncRNAs), which are novel regulatory molecules of >200 bp in length, participate in most pathophysiological processes and human diseases. Global genome expression profiles of lncRNAs have indicated that many lncRNAs are highly enriched and exclusively expressed in testes and/or spermatogenic cells [11-13]. Recent studies have also shown that functional deficiency of key lncRNAs could decrease the sperm count in mice, and even cause male infertility in Drosophila [14, 15], suggesting that lncRNAs play crucial roles in spermatogenesis. lncRNAs could also act as indicators of stress due to environmental pollutants and boost our understanding of the pharmacological or toxicological mechanisms of drugs and toxicants [16, 17]. However, it has remained unclear whether the abnormal expression and/or regulation of lncRNAs is involved in triptolide-induced infertility.\nCircular RNAs (circRNAs) are the products of a unique type of alternative splicing, by which the 3′-end of an exon is spliced to the 5´-end of an upstream exon [18]. The production of circRNAs is probably a highly regulated cell/tissue/age-type-specific process, and among lncRNAs, these molecules are of particular interest in gene regulation. They might thus become biomarkers for diseases of male infertility and exposure to pollutant stress [19, 20]. In a recent report, it was described that key circRNAs participate in testis development or spermatogenesis [21]. Because triptolide could lead to abnormal spermatogenesis, we were interested in whether circRNAs intervened in triptolide-induced reproductive toxicity.\nHere, we explored the lncRNA/circRNA-related mechanisms of triptolide-induced male reproductive toxicology by investigating lncRNA/circRNA/mRNA expression profiles at the transcriptome level by strand-specific RNA sequencing.", " Chemicals Triptolide (>98% purity) was purchased from EFEBIO Co., Ltd. (Shanghai, China). All other chemicals obtained from local companies were of analytical purity.\nTriptolide (>98% purity) was purchased from EFEBIO Co., Ltd. (Shanghai, China). All other chemicals obtained from local companies were of analytical purity.\n Animals and Treatments Ten-week-old male C57BL/6J mice (body weight 25.0 ± 1.5 g) were obtained from Beijing Vital River Laboratory Animal Technology Co., Ltd. (Beijing, China). All mice were kept at constant temperature (22 ± 2 °C) and relative humidity (40%-60%) with a 12/12-h light/dark cycle and were allowed to acclimate for 1 week before the experiments. The mice were divided randomly into two groups. The triptolide group (n = 6) was subjected to the intragastric (i.g.) administration of triptolide at 50 μg/kg body weight/day. The control group (n = 6) was fed saline (0.9% NaCl). The mice were killed by cervical dislocation 35 days after treatment. Testes and epididymal spermatozoa were quickly isolated and harvested for further study. All the experiments were carried out in accordance with the guidelines of the Institutional Animal Ethics Committee (IAEC) of Nanchang University (Nanchang, China).\nTen-week-old male C57BL/6J mice (body weight 25.0 ± 1.5 g) were obtained from Beijing Vital River Laboratory Animal Technology Co., Ltd. (Beijing, China). All mice were kept at constant temperature (22 ± 2 °C) and relative humidity (40%-60%) with a 12/12-h light/dark cycle and were allowed to acclimate for 1 week before the experiments. The mice were divided randomly into two groups. The triptolide group (n = 6) was subjected to the intragastric (i.g.) administration of triptolide at 50 μg/kg body weight/day. The control group (n = 6) was fed saline (0.9% NaCl). The mice were killed by cervical dislocation 35 days after treatment. Testes and epididymal spermatozoa were quickly isolated and harvested for further study. All the experiments were carried out in accordance with the guidelines of the Institutional Animal Ethics Committee (IAEC) of Nanchang University (Nanchang, China).\n Sperm Functional Parameter Analysis Sperm suspensions were obtained from cauda epididymis and then the sperm were allowed to swim out into high-saline (HS) solution (135 mM NaCl, 5 mM KCl, 1 mM MgSO4, 2 mM CaCl2, 20 mM HEPES, 5 mM glucose, 10 mM lactic acid, and 1 mM Na-pyruvate at pH 7.4 with NaOH) in a 5% CO2/air incubator (Heal Force, Hong Kong, China) at 37 °C for 15 min, as described previously [22]. Sperm concentration, motility, and morphology were analyzed in a Makler counting chamber (Sefi Medical Instruments, Haifa, Israel) by a computer-assisted semen analysis system (CASA; Hamilton Thorne, Danvers, MA, USA). At least 200 spermatozoa were counted for each assay.\nSperm suspensions were obtained from cauda epididymis and then the sperm were allowed to swim out into high-saline (HS) solution (135 mM NaCl, 5 mM KCl, 1 mM MgSO4, 2 mM CaCl2, 20 mM HEPES, 5 mM glucose, 10 mM lactic acid, and 1 mM Na-pyruvate at pH 7.4 with NaOH) in a 5% CO2/air incubator (Heal Force, Hong Kong, China) at 37 °C for 15 min, as described previously [22]. Sperm concentration, motility, and morphology were analyzed in a Makler counting chamber (Sefi Medical Instruments, Haifa, Israel) by a computer-assisted semen analysis system (CASA; Hamilton Thorne, Danvers, MA, USA). At least 200 spermatozoa were counted for each assay.\n Histological Staining The mouse testes were isolated and immediately fixed in 4% formaldehyde solution, embedded in paraffin, sectioned at a thickness of 5 μm, and then stained with hematoxylin and eosin (H&E). Hepatic pathological changes were observed under a light microscope (Olympus, Tokyo, Japan) at 200× magnification.\nThe mouse testes were isolated and immediately fixed in 4% formaldehyde solution, embedded in paraffin, sectioned at a thickness of 5 μm, and then stained with hematoxylin and eosin (H&E). Hepatic pathological changes were observed under a light microscope (Olympus, Tokyo, Japan) at 200× magnification.\n RNA Isolation Total RNAs were extracted from the testes using TaKaRa MiniBEST Universal RNA Extraction Kit (TaKaRa, Dalian, China), in accordance with the manufacturer’s protocol. The concentration and purity of the total RNA samples were evaluated using a NanoPhotometer (IMPLEN, Munich, Germany) with optical density measurements at A260/A280= 1.8 - 2.2. The integrity of RNA was examined using the 2100 Bioanalyzer (Agilent Corporation, Palo Alto, CA, USA) and by electrophoresis in 1.5% agarose gel to meet sequencing requirements.\nTotal RNAs were extracted from the testes using TaKaRa MiniBEST Universal RNA Extraction Kit (TaKaRa, Dalian, China), in accordance with the manufacturer’s protocol. The concentration and purity of the total RNA samples were evaluated using a NanoPhotometer (IMPLEN, Munich, Germany) with optical density measurements at A260/A280= 1.8 - 2.2. The integrity of RNA was examined using the 2100 Bioanalyzer (Agilent Corporation, Palo Alto, CA, USA) and by electrophoresis in 1.5% agarose gel to meet sequencing requirements.\n Deep Sequencing and Bioinformatic Analysis After the rRNA had been depleted from total RNA using Ribo-Zero™ rRNA Removal Kit (Illumina, San Diego, CA, USA), next-generation sequencing library was constructed in accordance with the manufacturer’s protocol (NEBNext® Ultra™ Directional RNA Library Prep Kit for Illumina®). Sequencing was carried out using a 2 × 150 paired-end (PE) configuration. The sequences were processed and analyzed by GENEWIZ, Inc. (Suzhou, China). After the raw data produced by the Illumina HiSeq™ X Ten platform had been subjected to quality control tests, the clean data were aligned to a reference genome using the software Hisat2 (v2.0.1). Then, HTSeq (v0.6.1) was used to estimate gene and isoform expression levels from the paired-end clean data. Differential expression analysis was performed using the DESeq Bioconductor package, a model based on negative binomial distribution. After adjustment by Benjamini and Hochberg’s approach for controlling the false discovery rate, a P-value threshold of <0.05 for genes was set to define differential expressed ones. lncRNA-targeted genes were predicted based on cis and trans regulatory principles. The cis regulation by lncRNAs could be predicted by the software Bedtools (v2.17.0) and regulation in trans was analyzed via Blast (v 2.2.28+). CIRI (V2.0) software and CircBase were used to identify and screen the circRNAs, and the expression levels of circRNAs were calculated using spliced reads per billion mapping (SRPBM). Gene Ontology (GO; http://www.geneontology.org) and Kyoto Encyclopedia of Genes and Genomes (KEGG; http://www.genome.jp/kegg/) pathway analyses were applied to determine the functional roles of the differentially expressed lncRNA targets, cognate mRNAs of circRNAs, and mRNAs. GO terms and KEGG pathways with corrected P-values < 0.05 were considered to be significantly associated with the differentially expressed genes.\nAfter the rRNA had been depleted from total RNA using Ribo-Zero™ rRNA Removal Kit (Illumina, San Diego, CA, USA), next-generation sequencing library was constructed in accordance with the manufacturer’s protocol (NEBNext® Ultra™ Directional RNA Library Prep Kit for Illumina®). Sequencing was carried out using a 2 × 150 paired-end (PE) configuration. The sequences were processed and analyzed by GENEWIZ, Inc. (Suzhou, China). After the raw data produced by the Illumina HiSeq™ X Ten platform had been subjected to quality control tests, the clean data were aligned to a reference genome using the software Hisat2 (v2.0.1). Then, HTSeq (v0.6.1) was used to estimate gene and isoform expression levels from the paired-end clean data. Differential expression analysis was performed using the DESeq Bioconductor package, a model based on negative binomial distribution. After adjustment by Benjamini and Hochberg’s approach for controlling the false discovery rate, a P-value threshold of <0.05 for genes was set to define differential expressed ones. lncRNA-targeted genes were predicted based on cis and trans regulatory principles. The cis regulation by lncRNAs could be predicted by the software Bedtools (v2.17.0) and regulation in trans was analyzed via Blast (v 2.2.28+). CIRI (V2.0) software and CircBase were used to identify and screen the circRNAs, and the expression levels of circRNAs were calculated using spliced reads per billion mapping (SRPBM). Gene Ontology (GO; http://www.geneontology.org) and Kyoto Encyclopedia of Genes and Genomes (KEGG; http://www.genome.jp/kegg/) pathway analyses were applied to determine the functional roles of the differentially expressed lncRNA targets, cognate mRNAs of circRNAs, and mRNAs. GO terms and KEGG pathways with corrected P-values < 0.05 were considered to be significantly associated with the differentially expressed genes.\n Quantitative Polymerase Chain Reaction (qPCR) One microgram of total RNA was reverse-transcribed to cDNA using PrimeScript™ RT reagent kits with gDNA Eraser (TaKaRa Bio Inc., Otsu, Japan), in accordance with the manufacturer’s protocol. The qPCR procedure was performed with denaturation at 98°C for 60 s, followed by 40 cycles of denaturation at 98°C for 5 s, annealing at 58°C for 20 s, and extension at 72°C for 20 s. qPCR was conducted with the StepOnePlus™ Real-Time PCR System (Applied Biosystems, Foster City, CA, USA) using the SYBR Premix DimerEraser Kit (TaKaRa), in accordance with the manufacturer’s instructions. The expression level of the β-actin gene was used as an internal control to normalize the related gene expression levels. Samples were run at least three times with good reproducibility. The primer sequences for the lncRNAs/circRNAs/mRNAs used for qPCR are shown in Table 1. All the primers were designed with Primer Premier 5 (Biosoft International, Palo Alto, CA, USA) and produced by GENEWIZ, Inc. (Suzhou, China).\nOne microgram of total RNA was reverse-transcribed to cDNA using PrimeScript™ RT reagent kits with gDNA Eraser (TaKaRa Bio Inc., Otsu, Japan), in accordance with the manufacturer’s protocol. The qPCR procedure was performed with denaturation at 98°C for 60 s, followed by 40 cycles of denaturation at 98°C for 5 s, annealing at 58°C for 20 s, and extension at 72°C for 20 s. qPCR was conducted with the StepOnePlus™ Real-Time PCR System (Applied Biosystems, Foster City, CA, USA) using the SYBR Premix DimerEraser Kit (TaKaRa), in accordance with the manufacturer’s instructions. The expression level of the β-actin gene was used as an internal control to normalize the related gene expression levels. Samples were run at least three times with good reproducibility. The primer sequences for the lncRNAs/circRNAs/mRNAs used for qPCR are shown in Table 1. All the primers were designed with Primer Premier 5 (Biosoft International, Palo Alto, CA, USA) and produced by GENEWIZ, Inc. (Suzhou, China).\n Statistical Analysis The data are expressed as the mean ± Standard Error of the Mean (SEM). All the statistical analyses were performed using GraphPad Prism (GraphPad Software, San Diego, CA, USA). Comparisons between the control and triptolide-treated groups were performed using t-tests. P < 0.05 was regarded as statistically significant and P < 0.01 was considered extremely statistically significant.\nThe data are expressed as the mean ± Standard Error of the Mean (SEM). All the statistical analyses were performed using GraphPad Prism (GraphPad Software, San Diego, CA, USA). Comparisons between the control and triptolide-treated groups were performed using t-tests. P < 0.05 was regarded as statistically significant and P < 0.01 was considered extremely statistically significant.", "Triptolide (>98% purity) was purchased from EFEBIO Co., Ltd. (Shanghai, China). All other chemicals obtained from local companies were of analytical purity.", "Ten-week-old male C57BL/6J mice (body weight 25.0 ± 1.5 g) were obtained from Beijing Vital River Laboratory Animal Technology Co., Ltd. (Beijing, China). All mice were kept at constant temperature (22 ± 2 °C) and relative humidity (40%-60%) with a 12/12-h light/dark cycle and were allowed to acclimate for 1 week before the experiments. The mice were divided randomly into two groups. The triptolide group (n = 6) was subjected to the intragastric (i.g.) administration of triptolide at 50 μg/kg body weight/day. The control group (n = 6) was fed saline (0.9% NaCl). The mice were killed by cervical dislocation 35 days after treatment. Testes and epididymal spermatozoa were quickly isolated and harvested for further study. All the experiments were carried out in accordance with the guidelines of the Institutional Animal Ethics Committee (IAEC) of Nanchang University (Nanchang, China).", "Sperm suspensions were obtained from cauda epididymis and then the sperm were allowed to swim out into high-saline (HS) solution (135 mM NaCl, 5 mM KCl, 1 mM MgSO4, 2 mM CaCl2, 20 mM HEPES, 5 mM glucose, 10 mM lactic acid, and 1 mM Na-pyruvate at pH 7.4 with NaOH) in a 5% CO2/air incubator (Heal Force, Hong Kong, China) at 37 °C for 15 min, as described previously [22]. Sperm concentration, motility, and morphology were analyzed in a Makler counting chamber (Sefi Medical Instruments, Haifa, Israel) by a computer-assisted semen analysis system (CASA; Hamilton Thorne, Danvers, MA, USA). At least 200 spermatozoa were counted for each assay.", "The mouse testes were isolated and immediately fixed in 4% formaldehyde solution, embedded in paraffin, sectioned at a thickness of 5 μm, and then stained with hematoxylin and eosin (H&E). Hepatic pathological changes were observed under a light microscope (Olympus, Tokyo, Japan) at 200× magnification.", "Total RNAs were extracted from the testes using TaKaRa MiniBEST Universal RNA Extraction Kit (TaKaRa, Dalian, China), in accordance with the manufacturer’s protocol. The concentration and purity of the total RNA samples were evaluated using a NanoPhotometer (IMPLEN, Munich, Germany) with optical density measurements at A260/A280= 1.8 - 2.2. The integrity of RNA was examined using the 2100 Bioanalyzer (Agilent Corporation, Palo Alto, CA, USA) and by electrophoresis in 1.5% agarose gel to meet sequencing requirements.", "After the rRNA had been depleted from total RNA using Ribo-Zero™ rRNA Removal Kit (Illumina, San Diego, CA, USA), next-generation sequencing library was constructed in accordance with the manufacturer’s protocol (NEBNext® Ultra™ Directional RNA Library Prep Kit for Illumina®). Sequencing was carried out using a 2 × 150 paired-end (PE) configuration. The sequences were processed and analyzed by GENEWIZ, Inc. (Suzhou, China). After the raw data produced by the Illumina HiSeq™ X Ten platform had been subjected to quality control tests, the clean data were aligned to a reference genome using the software Hisat2 (v2.0.1). Then, HTSeq (v0.6.1) was used to estimate gene and isoform expression levels from the paired-end clean data. Differential expression analysis was performed using the DESeq Bioconductor package, a model based on negative binomial distribution. After adjustment by Benjamini and Hochberg’s approach for controlling the false discovery rate, a P-value threshold of <0.05 for genes was set to define differential expressed ones. lncRNA-targeted genes were predicted based on cis and trans regulatory principles. The cis regulation by lncRNAs could be predicted by the software Bedtools (v2.17.0) and regulation in trans was analyzed via Blast (v 2.2.28+). CIRI (V2.0) software and CircBase were used to identify and screen the circRNAs, and the expression levels of circRNAs were calculated using spliced reads per billion mapping (SRPBM). Gene Ontology (GO; http://www.geneontology.org) and Kyoto Encyclopedia of Genes and Genomes (KEGG; http://www.genome.jp/kegg/) pathway analyses were applied to determine the functional roles of the differentially expressed lncRNA targets, cognate mRNAs of circRNAs, and mRNAs. GO terms and KEGG pathways with corrected P-values < 0.05 were considered to be significantly associated with the differentially expressed genes.", "One microgram of total RNA was reverse-transcribed to cDNA using PrimeScript™ RT reagent kits with gDNA Eraser (TaKaRa Bio Inc., Otsu, Japan), in accordance with the manufacturer’s protocol. The qPCR procedure was performed with denaturation at 98°C for 60 s, followed by 40 cycles of denaturation at 98°C for 5 s, annealing at 58°C for 20 s, and extension at 72°C for 20 s. qPCR was conducted with the StepOnePlus™ Real-Time PCR System (Applied Biosystems, Foster City, CA, USA) using the SYBR Premix DimerEraser Kit (TaKaRa), in accordance with the manufacturer’s instructions. The expression level of the β-actin gene was used as an internal control to normalize the related gene expression levels. Samples were run at least three times with good reproducibility. The primer sequences for the lncRNAs/circRNAs/mRNAs used for qPCR are shown in Table 1. All the primers were designed with Primer Premier 5 (Biosoft International, Palo Alto, CA, USA) and produced by GENEWIZ, Inc. (Suzhou, China).", "The data are expressed as the mean ± Standard Error of the Mean (SEM). All the statistical analyses were performed using GraphPad Prism (GraphPad Software, San Diego, CA, USA). Comparisons between the control and triptolide-treated groups were performed using t-tests. P < 0.05 was regarded as statistically significant and P < 0.01 was considered extremely statistically significant.", " Effects of Triptolide on Testis and Sperm Morphology and Physiological Sperm Parameters To confirm triptolide induced reproductive toxicity in vivo, histological changes of testes and sperm, and sperm functional parameters were investigated. As shown in Fig. (1A and 1B), triptolide led to significant histological changes in the testis, such as a decrease of spermatogenetic cells, lumen shrinkage, vacuolation, and other morphological abnormalities. After exposure of mice to triptolide for 35 days, there was no significant difference in the body weights of mice in the two groups (Fig. 1C), the testicular weight decreased significantly (P < 0.05) in the triptolide group compared with that in the control group (Fig. 1D). In addition, there were remarkable increases in sperm head and tail abnormalities (45.75%) (Fig. 1E, 1F and 1G) and significant reductions in sperm motility and density after triptolide exposure (Fig. 1H and 1I).\nTo confirm triptolide induced reproductive toxicity in vivo, histological changes of testes and sperm, and sperm functional parameters were investigated. As shown in Fig. (1A and 1B), triptolide led to significant histological changes in the testis, such as a decrease of spermatogenetic cells, lumen shrinkage, vacuolation, and other morphological abnormalities. After exposure of mice to triptolide for 35 days, there was no significant difference in the body weights of mice in the two groups (Fig. 1C), the testicular weight decreased significantly (P < 0.05) in the triptolide group compared with that in the control group (Fig. 1D). In addition, there were remarkable increases in sperm head and tail abnormalities (45.75%) (Fig. 1E, 1F and 1G) and significant reductions in sperm motility and density after triptolide exposure (Fig. 1H and 1I).\n lncRNA, circRNA, and mRNA Expression Profiles In the present study, upon comparison with the control group, differentially expressed lncRNAs/circRNAs/mRNAs in the testes were detected 35 days after the exposure of mice to triptolide. Our data revealed that there were 33,057 detectable lncRNAs and 11,956 circRNAs in testes. As shown in Fig. (2), 344 lncRNAs were upregulated and 143 were downregulated by triptolide (≥2.0-fold change, P < 0.05). For circRNAs, 374 were upregulated and 206 were downregulated after triptolide exposure. Simultaneously, 2551 mRNAs were upregulated and 1,028 were downregulated by triptolide treatment. We speculated that these dysregulated lncRNAs/circRNAs/mRNAs might be good candidate markers for triptolide-induced male reproductive toxicity and would be worthy of further study. Detailed information on all of the differentially expressed lncRNAs/circRNAs/mRNAs is provided in Supplementary Tables S1-S3.\nIn the present study, upon comparison with the control group, differentially expressed lncRNAs/circRNAs/mRNAs in the testes were detected 35 days after the exposure of mice to triptolide. Our data revealed that there were 33,057 detectable lncRNAs and 11,956 circRNAs in testes. As shown in Fig. (2), 344 lncRNAs were upregulated and 143 were downregulated by triptolide (≥2.0-fold change, P < 0.05). For circRNAs, 374 were upregulated and 206 were downregulated after triptolide exposure. Simultaneously, 2551 mRNAs were upregulated and 1,028 were downregulated by triptolide treatment. We speculated that these dysregulated lncRNAs/circRNAs/mRNAs might be good candidate markers for triptolide-induced male reproductive toxicity and would be worthy of further study. Detailed information on all of the differentially expressed lncRNAs/circRNAs/mRNAs is provided in Supplementary Tables S1-S3.\n GO Analysis and KEGG Pathway Analysis The expression of numerous lncRNAs/circRNAs/mRNAs revealed significant dysregulation after the exposure of mice to triptolide for 35 days. To uncover the functions of abnormal lncRNAs/circRNAs/mRNAs, bioinformatic enrichment analyses of GO terms and KEGG pathways were performed. GO analysis showed that the genes with aberrant lncRNA targets are mainly involved in the following biological processes: genetic imprinting, nodal signaling pathway, regulation of bone mineralization, bio-mineral tissue development, DNA methylation, DNA alkylation, and RNA metabolic and biosynthetic processes. Differentially expressed circRNA cognate genes mainly participate in post-translational protein targeting endoplasmic reticulum membrane, protein localization to endoplasmic reticulum, biological regulation, nucleoside metabolic process, chromosome separation, chromosome segregation, nuclear division, and organelle fission. The significantly enriched GO terms of the differentially expressed mRNAs included cellular metabolic process, chromosome organization, and DNA metabolic process (Table 2).\nKEGG pathway analysis of the differentially expressed lncRNA target genes identified the main categories of apoptosis, estrogen signaling pathway, GnRH signaling pathway, calcium signaling pathway, cAMP signaling pathway, systemic lupus erythematosus, mismatch repair, autophagy, and PI3K-Akt signaling pathway and other pathways. Analysis of circRNA cognate genes showed that they are involved in the Fanconi anemia pathway, ubiquitin-mediated proteolysis, and thiamine metabolism pathway. Metabolic process, ErbB signaling pathway, actin cytoskeleton, RNA degradation and transport, RNA degradation and transport, apoptosis, cell cycle, and MAPK signaling pathway were affected by triptolide exposure, as shown by mapping the differentially expressed mRNA genes to the KEGG database (Table 3).\nThe expression of numerous lncRNAs/circRNAs/mRNAs revealed significant dysregulation after the exposure of mice to triptolide for 35 days. To uncover the functions of abnormal lncRNAs/circRNAs/mRNAs, bioinformatic enrichment analyses of GO terms and KEGG pathways were performed. GO analysis showed that the genes with aberrant lncRNA targets are mainly involved in the following biological processes: genetic imprinting, nodal signaling pathway, regulation of bone mineralization, bio-mineral tissue development, DNA methylation, DNA alkylation, and RNA metabolic and biosynthetic processes. Differentially expressed circRNA cognate genes mainly participate in post-translational protein targeting endoplasmic reticulum membrane, protein localization to endoplasmic reticulum, biological regulation, nucleoside metabolic process, chromosome separation, chromosome segregation, nuclear division, and organelle fission. The significantly enriched GO terms of the differentially expressed mRNAs included cellular metabolic process, chromosome organization, and DNA metabolic process (Table 2).\nKEGG pathway analysis of the differentially expressed lncRNA target genes identified the main categories of apoptosis, estrogen signaling pathway, GnRH signaling pathway, calcium signaling pathway, cAMP signaling pathway, systemic lupus erythematosus, mismatch repair, autophagy, and PI3K-Akt signaling pathway and other pathways. Analysis of circRNA cognate genes showed that they are involved in the Fanconi anemia pathway, ubiquitin-mediated proteolysis, and thiamine metabolism pathway. Metabolic process, ErbB signaling pathway, actin cytoskeleton, RNA degradation and transport, RNA degradation and transport, apoptosis, cell cycle, and MAPK signaling pathway were affected by triptolide exposure, as shown by mapping the differentially expressed mRNA genes to the KEGG database (Table 3).\n qPCR Confirmation We randomly selected six lncRNAs and two circRNAs from the pool of lncRNAs/circRNAs with fold change > 2.0 and analyzed their expression levels by a qPCR in testes to validate the reliability of our sequencing data. We also further investigated the expression levels of four spermatogenesis-required mRNA genes (Prm1, Prm2, Tnp1, and Tnp2), which were selected from 54 differentially expressed mRNAs enriched for the spermatogenesis GO term (Table 4). As shown in Fig. (3), the qPCR results were consistent with the sequencing data and showed the same trend of dysregulation for each lncRNA/circRNA/mRNA (Fig. 3).\nWe randomly selected six lncRNAs and two circRNAs from the pool of lncRNAs/circRNAs with fold change > 2.0 and analyzed their expression levels by a qPCR in testes to validate the reliability of our sequencing data. We also further investigated the expression levels of four spermatogenesis-required mRNA genes (Prm1, Prm2, Tnp1, and Tnp2), which were selected from 54 differentially expressed mRNAs enriched for the spermatogenesis GO term (Table 4). As shown in Fig. (3), the qPCR results were consistent with the sequencing data and showed the same trend of dysregulation for each lncRNA/circRNA/mRNA (Fig. 3).", "To confirm triptolide induced reproductive toxicity in vivo, histological changes of testes and sperm, and sperm functional parameters were investigated. As shown in Fig. (1A and 1B), triptolide led to significant histological changes in the testis, such as a decrease of spermatogenetic cells, lumen shrinkage, vacuolation, and other morphological abnormalities. After exposure of mice to triptolide for 35 days, there was no significant difference in the body weights of mice in the two groups (Fig. 1C), the testicular weight decreased significantly (P < 0.05) in the triptolide group compared with that in the control group (Fig. 1D). In addition, there were remarkable increases in sperm head and tail abnormalities (45.75%) (Fig. 1E, 1F and 1G) and significant reductions in sperm motility and density after triptolide exposure (Fig. 1H and 1I).", "In the present study, upon comparison with the control group, differentially expressed lncRNAs/circRNAs/mRNAs in the testes were detected 35 days after the exposure of mice to triptolide. Our data revealed that there were 33,057 detectable lncRNAs and 11,956 circRNAs in testes. As shown in Fig. (2), 344 lncRNAs were upregulated and 143 were downregulated by triptolide (≥2.0-fold change, P < 0.05). For circRNAs, 374 were upregulated and 206 were downregulated after triptolide exposure. Simultaneously, 2551 mRNAs were upregulated and 1,028 were downregulated by triptolide treatment. We speculated that these dysregulated lncRNAs/circRNAs/mRNAs might be good candidate markers for triptolide-induced male reproductive toxicity and would be worthy of further study. Detailed information on all of the differentially expressed lncRNAs/circRNAs/mRNAs is provided in Supplementary Tables S1-S3.", "The expression of numerous lncRNAs/circRNAs/mRNAs revealed significant dysregulation after the exposure of mice to triptolide for 35 days. To uncover the functions of abnormal lncRNAs/circRNAs/mRNAs, bioinformatic enrichment analyses of GO terms and KEGG pathways were performed. GO analysis showed that the genes with aberrant lncRNA targets are mainly involved in the following biological processes: genetic imprinting, nodal signaling pathway, regulation of bone mineralization, bio-mineral tissue development, DNA methylation, DNA alkylation, and RNA metabolic and biosynthetic processes. Differentially expressed circRNA cognate genes mainly participate in post-translational protein targeting endoplasmic reticulum membrane, protein localization to endoplasmic reticulum, biological regulation, nucleoside metabolic process, chromosome separation, chromosome segregation, nuclear division, and organelle fission. The significantly enriched GO terms of the differentially expressed mRNAs included cellular metabolic process, chromosome organization, and DNA metabolic process (Table 2).\nKEGG pathway analysis of the differentially expressed lncRNA target genes identified the main categories of apoptosis, estrogen signaling pathway, GnRH signaling pathway, calcium signaling pathway, cAMP signaling pathway, systemic lupus erythematosus, mismatch repair, autophagy, and PI3K-Akt signaling pathway and other pathways. Analysis of circRNA cognate genes showed that they are involved in the Fanconi anemia pathway, ubiquitin-mediated proteolysis, and thiamine metabolism pathway. Metabolic process, ErbB signaling pathway, actin cytoskeleton, RNA degradation and transport, RNA degradation and transport, apoptosis, cell cycle, and MAPK signaling pathway were affected by triptolide exposure, as shown by mapping the differentially expressed mRNA genes to the KEGG database (Table 3).", "We randomly selected six lncRNAs and two circRNAs from the pool of lncRNAs/circRNAs with fold change > 2.0 and analyzed their expression levels by a qPCR in testes to validate the reliability of our sequencing data. We also further investigated the expression levels of four spermatogenesis-required mRNA genes (Prm1, Prm2, Tnp1, and Tnp2), which were selected from 54 differentially expressed mRNAs enriched for the spermatogenesis GO term (Table 4). As shown in Fig. (3), the qPCR results were consistent with the sequencing data and showed the same trend of dysregulation for each lncRNA/circRNA/mRNA (Fig. 3).", "In a clinical context, T. wilfordii extract has been shown to result in impaired fertility in men [23]. One of its active elements, triptolide, was found to exert a powerful sterilization effect for males and was tested in animal studies as a candidate male contraceptive agent [10]. This has prevented triptolide from being widely used to treat immune system diseases and being developed as an anticancer drug for those who wish to have children. Therefore, in the present study, our aim is to explore the mechanisms of triptolide-induced reproductive toxicity using mice as a model for analyses at the global transcriptome level. Our results revealed that testis weight and morphology in the triptolide-treated group were notably different from those in the control group. Furthermore, sperm motility and density in the cauda epididymis were dramatically impaired 35 days after treating mice with triptolide. Similar results were previously reported in triptolide-exposed rats [24]. Exposure of rats to triptolide from 5 to 70 days was also reported to lead to testis damage and impaired spermatogenesis [8, 9, 25, 26]. These findings suggest that triptolide-induced male infertility is rooted in decreased sperm production, abnormal morphology of the testis and sperm, and dysfunction of mature sperm, such as impaired sperm motility. Following triptolide withdrawal, the recovery of male fertility was relatively slow, suggesting that triptolide damaged not only germ cells in testis but also epididymal sperm [25].\nlncRNAs are described as working in a cis manner when their effects are restricted to the chromosome from which they are transcribed, while they work in a trans manner when they affect genes on other chromosomes [27]. Based on this principle, we obtained 23,064 lncRNA target genes and predicted their functions based on the GO and KEGG databases. The circRNAs can perform similar functions in their cognate genes because the circular and linear RNAs are homologous [28]. The cognate linear RNAs of differentially expressed circRNAs were used to evaluate their potential functions by GO and KEGG analyses. The results showed that differently expressed lncRNA targets/circRNA cognate genes/mRNAs mainly affected many spermatogenesis-related biological processes and pathways.\nPrevious studies have suggested that the nodal signaling pathway [29], thiamine metabolism [30], Fanconi anemia pathway [31], and DNA methylation [32] are closely related to spermatogenesis. Our GO/KEGG analyses showed that all of the above pathways were disturbed by triptolide-induced differentially expressed genes in testes, implying that these dysregulated pathways might lead to aberrant spermatogenesis after triptolide exposure. In addition, our results indicated that triptolide could serve as a chemical stress factor that appears to block normal meiosis, such as chromosome separation, chromosome segregation, nuclear division, organelle fission, and chromosome organization, thereby contributing to triptolide’s reproductive toxicity. All of these processes are indispensable for the correct production of sperm [33, 34], but were disrupted by triptolide. We found that the differentially expressed mRNAs were particularly associated with the actin cytoskeleton as a KEGG pathway. Interestingly, cytoskeletal organization is extremely rigorously controlled and essential for the production of fertile sperm [35]. It can be disturbed by stress factors such as osmotic pressure and other chemicals, resulting in morphological defects, decreased sperm motility, and even aspermatogenesis [36, 37]. Similar to the findings from the present study, data from Wang et al. demonstrated that triptolide induced cytoskeletal dysfunction mainly through the dysregulation of actin dynamics and disruption of cell-cell adherens junctions [38].\nTo ensure that minimum transcriptional and translational activity occurs in mature sperm, sperm RNA is discharged due to loss of most of the cytoplasm. As a result, the level of RNA in sperm is about 1% of that in somatic cells, which indicates that RNA metabolism or turnover plays a considerable role in spermiogenesis and sperm maturation [39]. In our study, RNA metabolism-related GO terms (RNA metabolism and biosynthesis, RNA degradation, and transport) were disturbed by triptolide. It has been reported that triptolide is an inhibitor of RNA polymerase I and II-dependent transcription, leading predominantly to the downregulation of short-lived mRNA [40], which might contribute to RNA turnover. Furthermore, demethylation and de novo methylation of DNA occur and are well controlled during spermatogenesis; aberrant alterations in DNA methylation could induce abnormal male reproductive performance including infertility [41, 42]. Here, lncRNA targets that were differentially expressed due to triptolide struck a balance of DNA methylation levels, suggesting that an epigenetic mechanism may be involved in triptolide-induced reproductive toxicity. It is worth mentioning that genetic imprinting was also reported to be affected by triptolide, which might result from changes in DNA methylation since DNA methylation is pivotal in the process of imprinting [43]. Moreover, abnormal morphological features in the testis, such as a decrease of spermatogenetic cells, lumen shrinkage, vacuolation, and a decreased number of sperm, provided evidence of the disruption of apoptosis, autophagy, and the cell cycle. Indeed, it has been reported that triptolide-induced toxicity acts on apoptosis, autophagy, and the cell cycle [7].\nPrevious studies have reported that the cAMP/PKA pathway participates in the regulation of enzymes involved in estrogen synthesis [44]. Our data also showed that triptolide could disturb the cAMP signaling pathway and reports of triptolide-induced reproductive toxicity revealed that triptolide induced a reduction of cellular cAMP concentration [45, 46], indicating that disruption of the cAMP/PKA pathway contributed to reproductive dysfunction. Taking these findings together, many interacting pathways or biological processes appear to contribute in combination to the male subfertility caused by triptolide.\nIn the present study, we found the dysregulation of 54 spermatogenesis-related mRNA genes. Many of these genes, such as Tnp1, Tnp2, Prm1, and Prm2, were downregulated. Spermiogenesis is the key step in spermatogenesis, which is strictly regulated and has been proposed to play a vital role in shaping the sperm head. During spermiogenesis, Tnp1 and Tnp2 (transition proteins) appear in step-12 and -13 spermatids, steps in which the histones are displaced by these transition proteins. Mice with Tnp1 and/or Tnp2 deficiency were reported to exhibit teratozoospermia and subfertility, and even infertility [47, 48]. Our data revealed that triptolide decreased the expression levels of both Tnp1 and Tnp2, which might contribute to triptolide-induced sperm deformity, especially in chromatin condensation during spermiogenesis. Next, the transition proteins are replaced by protamines such as Prm1 and Prm2. The presence of both Prm1 and Prm2 is required for proper spermatid maturation and male fertility [49, 50]. Here, triptolide was also shown to disturb protamine expression levels. Taking these findings together, the disorder of crosstalk among all spermatogenesis-related genes could result in triptolide-induced male infertility.", "In summary, to the best of our knowledge, our study is the first to obtain genome-wide lncRNA/circRNA/mRNA expression profiles in mice with triptolide-induced subfertility, which was achieved using strand-specific RNA sequencing in testes. This study provides a solid theoretical foundation and preliminary database for further research into the molecular mechanisms by which lncRNAs/circRNAs play significant roles in triptolide-induced reproductive toxicity. Additionally, mice with triptolide-induced infertility might serve as a good model for revealing the functional noncoding RNAs involved in spermatogenesis.", "All the experiments were carried out in accordance with the guidelines of the Institutional Animal Ethics Committee (IAEC) of Nanchang University (Nanchang, China).", "No humans were involved in this study, the reported experiments on animals were in accordance with the standards set forth in the 8th Edition of Guide for the Care and Use of Laboratory Animals (http://grants.nih.gov/grants/olaw/Guide-for-thecare-and-use-of-laboratory-animals.pdf) published by the National Academy of Sciences.", "Not applicable.", "The RNA-seq data sets generated in this study have been submitted to the NCBI Gene Expression Omnibus (GEO; http://www.ncbi.nlm.nih.gov/geo) under accession number GSE126857.", "This research was supported by the National Natural Science Foundation of China (81760283 and 31801238)." ]
[ "intro", "materials|methods", null, null, null, null, null, null, null, null, "results", null, null, null, null, "discussion", "conclusions", null, null, null, "data-availability", null ]
[ "Triptolide", "lncRNA", "circRNA", "RNA sequencing", "spermatogenesis", "male infertility" ]
INTRODUCTION: Triptolide is a unique diterpene triepoxide isolated from the Chinese medicinal plant Tripterygium wilfordii Hook f., which is used to treat various rheumatological [1] and dermatological conditions [2]. Recently, triptolide has been reported to exert efficient antitumor activity in various human cancers [3-6], and is very promising as a potential new anticancer drug. However, exposure to triptolide could result in injury of various organs in animals and humans [7]. It has also been reported to cause subfertility and infertility by disturbing spermatogenesis and sperm function in rodents [8-10]. These side effects prevent its widespread clinical use for those with fertility needs. There is thus an urgent need to uncover the mechanisms underlying triptolide-induced reproductive toxicity and to identify measures for decreasing triptolide’s toxicity. Long noncoding RNAs (lncRNAs), which are novel regulatory molecules of >200 bp in length, participate in most pathophysiological processes and human diseases. Global genome expression profiles of lncRNAs have indicated that many lncRNAs are highly enriched and exclusively expressed in testes and/or spermatogenic cells [11-13]. Recent studies have also shown that functional deficiency of key lncRNAs could decrease the sperm count in mice, and even cause male infertility in Drosophila [14, 15], suggesting that lncRNAs play crucial roles in spermatogenesis. lncRNAs could also act as indicators of stress due to environmental pollutants and boost our understanding of the pharmacological or toxicological mechanisms of drugs and toxicants [16, 17]. However, it has remained unclear whether the abnormal expression and/or regulation of lncRNAs is involved in triptolide-induced infertility. Circular RNAs (circRNAs) are the products of a unique type of alternative splicing, by which the 3′-end of an exon is spliced to the 5´-end of an upstream exon [18]. The production of circRNAs is probably a highly regulated cell/tissue/age-type-specific process, and among lncRNAs, these molecules are of particular interest in gene regulation. They might thus become biomarkers for diseases of male infertility and exposure to pollutant stress [19, 20]. In a recent report, it was described that key circRNAs participate in testis development or spermatogenesis [21]. Because triptolide could lead to abnormal spermatogenesis, we were interested in whether circRNAs intervened in triptolide-induced reproductive toxicity. Here, we explored the lncRNA/circRNA-related mechanisms of triptolide-induced male reproductive toxicology by investigating lncRNA/circRNA/mRNA expression profiles at the transcriptome level by strand-specific RNA sequencing. MATERIALS AND METHODS: Chemicals Triptolide (>98% purity) was purchased from EFEBIO Co., Ltd. (Shanghai, China). All other chemicals obtained from local companies were of analytical purity. Triptolide (>98% purity) was purchased from EFEBIO Co., Ltd. (Shanghai, China). All other chemicals obtained from local companies were of analytical purity. Animals and Treatments Ten-week-old male C57BL/6J mice (body weight 25.0 ± 1.5 g) were obtained from Beijing Vital River Laboratory Animal Technology Co., Ltd. (Beijing, China). All mice were kept at constant temperature (22 ± 2 °C) and relative humidity (40%-60%) with a 12/12-h light/dark cycle and were allowed to acclimate for 1 week before the experiments. The mice were divided randomly into two groups. The triptolide group (n = 6) was subjected to the intragastric (i.g.) administration of triptolide at 50 μg/kg body weight/day. The control group (n = 6) was fed saline (0.9% NaCl). The mice were killed by cervical dislocation 35 days after treatment. Testes and epididymal spermatozoa were quickly isolated and harvested for further study. All the experiments were carried out in accordance with the guidelines of the Institutional Animal Ethics Committee (IAEC) of Nanchang University (Nanchang, China). Ten-week-old male C57BL/6J mice (body weight 25.0 ± 1.5 g) were obtained from Beijing Vital River Laboratory Animal Technology Co., Ltd. (Beijing, China). All mice were kept at constant temperature (22 ± 2 °C) and relative humidity (40%-60%) with a 12/12-h light/dark cycle and were allowed to acclimate for 1 week before the experiments. The mice were divided randomly into two groups. The triptolide group (n = 6) was subjected to the intragastric (i.g.) administration of triptolide at 50 μg/kg body weight/day. The control group (n = 6) was fed saline (0.9% NaCl). The mice were killed by cervical dislocation 35 days after treatment. Testes and epididymal spermatozoa were quickly isolated and harvested for further study. All the experiments were carried out in accordance with the guidelines of the Institutional Animal Ethics Committee (IAEC) of Nanchang University (Nanchang, China). Sperm Functional Parameter Analysis Sperm suspensions were obtained from cauda epididymis and then the sperm were allowed to swim out into high-saline (HS) solution (135 mM NaCl, 5 mM KCl, 1 mM MgSO4, 2 mM CaCl2, 20 mM HEPES, 5 mM glucose, 10 mM lactic acid, and 1 mM Na-pyruvate at pH 7.4 with NaOH) in a 5% CO2/air incubator (Heal Force, Hong Kong, China) at 37 °C for 15 min, as described previously [22]. Sperm concentration, motility, and morphology were analyzed in a Makler counting chamber (Sefi Medical Instruments, Haifa, Israel) by a computer-assisted semen analysis system (CASA; Hamilton Thorne, Danvers, MA, USA). At least 200 spermatozoa were counted for each assay. Sperm suspensions were obtained from cauda epididymis and then the sperm were allowed to swim out into high-saline (HS) solution (135 mM NaCl, 5 mM KCl, 1 mM MgSO4, 2 mM CaCl2, 20 mM HEPES, 5 mM glucose, 10 mM lactic acid, and 1 mM Na-pyruvate at pH 7.4 with NaOH) in a 5% CO2/air incubator (Heal Force, Hong Kong, China) at 37 °C for 15 min, as described previously [22]. Sperm concentration, motility, and morphology were analyzed in a Makler counting chamber (Sefi Medical Instruments, Haifa, Israel) by a computer-assisted semen analysis system (CASA; Hamilton Thorne, Danvers, MA, USA). At least 200 spermatozoa were counted for each assay. Histological Staining The mouse testes were isolated and immediately fixed in 4% formaldehyde solution, embedded in paraffin, sectioned at a thickness of 5 μm, and then stained with hematoxylin and eosin (H&E). Hepatic pathological changes were observed under a light microscope (Olympus, Tokyo, Japan) at 200× magnification. The mouse testes were isolated and immediately fixed in 4% formaldehyde solution, embedded in paraffin, sectioned at a thickness of 5 μm, and then stained with hematoxylin and eosin (H&E). Hepatic pathological changes were observed under a light microscope (Olympus, Tokyo, Japan) at 200× magnification. RNA Isolation Total RNAs were extracted from the testes using TaKaRa MiniBEST Universal RNA Extraction Kit (TaKaRa, Dalian, China), in accordance with the manufacturer’s protocol. The concentration and purity of the total RNA samples were evaluated using a NanoPhotometer (IMPLEN, Munich, Germany) with optical density measurements at A260/A280= 1.8 - 2.2. The integrity of RNA was examined using the 2100 Bioanalyzer (Agilent Corporation, Palo Alto, CA, USA) and by electrophoresis in 1.5% agarose gel to meet sequencing requirements. Total RNAs were extracted from the testes using TaKaRa MiniBEST Universal RNA Extraction Kit (TaKaRa, Dalian, China), in accordance with the manufacturer’s protocol. The concentration and purity of the total RNA samples were evaluated using a NanoPhotometer (IMPLEN, Munich, Germany) with optical density measurements at A260/A280= 1.8 - 2.2. The integrity of RNA was examined using the 2100 Bioanalyzer (Agilent Corporation, Palo Alto, CA, USA) and by electrophoresis in 1.5% agarose gel to meet sequencing requirements. Deep Sequencing and Bioinformatic Analysis After the rRNA had been depleted from total RNA using Ribo-Zero™ rRNA Removal Kit (Illumina, San Diego, CA, USA), next-generation sequencing library was constructed in accordance with the manufacturer’s protocol (NEBNext® Ultra™ Directional RNA Library Prep Kit for Illumina®). Sequencing was carried out using a 2 × 150 paired-end (PE) configuration. The sequences were processed and analyzed by GENEWIZ, Inc. (Suzhou, China). After the raw data produced by the Illumina HiSeq™ X Ten platform had been subjected to quality control tests, the clean data were aligned to a reference genome using the software Hisat2 (v2.0.1). Then, HTSeq (v0.6.1) was used to estimate gene and isoform expression levels from the paired-end clean data. Differential expression analysis was performed using the DESeq Bioconductor package, a model based on negative binomial distribution. After adjustment by Benjamini and Hochberg’s approach for controlling the false discovery rate, a P-value threshold of <0.05 for genes was set to define differential expressed ones. lncRNA-targeted genes were predicted based on cis and trans regulatory principles. The cis regulation by lncRNAs could be predicted by the software Bedtools (v2.17.0) and regulation in trans was analyzed via Blast (v 2.2.28+). CIRI (V2.0) software and CircBase were used to identify and screen the circRNAs, and the expression levels of circRNAs were calculated using spliced reads per billion mapping (SRPBM). Gene Ontology (GO; http://www.geneontology.org) and Kyoto Encyclopedia of Genes and Genomes (KEGG; http://www.genome.jp/kegg/) pathway analyses were applied to determine the functional roles of the differentially expressed lncRNA targets, cognate mRNAs of circRNAs, and mRNAs. GO terms and KEGG pathways with corrected P-values < 0.05 were considered to be significantly associated with the differentially expressed genes. After the rRNA had been depleted from total RNA using Ribo-Zero™ rRNA Removal Kit (Illumina, San Diego, CA, USA), next-generation sequencing library was constructed in accordance with the manufacturer’s protocol (NEBNext® Ultra™ Directional RNA Library Prep Kit for Illumina®). Sequencing was carried out using a 2 × 150 paired-end (PE) configuration. The sequences were processed and analyzed by GENEWIZ, Inc. (Suzhou, China). After the raw data produced by the Illumina HiSeq™ X Ten platform had been subjected to quality control tests, the clean data were aligned to a reference genome using the software Hisat2 (v2.0.1). Then, HTSeq (v0.6.1) was used to estimate gene and isoform expression levels from the paired-end clean data. Differential expression analysis was performed using the DESeq Bioconductor package, a model based on negative binomial distribution. After adjustment by Benjamini and Hochberg’s approach for controlling the false discovery rate, a P-value threshold of <0.05 for genes was set to define differential expressed ones. lncRNA-targeted genes were predicted based on cis and trans regulatory principles. The cis regulation by lncRNAs could be predicted by the software Bedtools (v2.17.0) and regulation in trans was analyzed via Blast (v 2.2.28+). CIRI (V2.0) software and CircBase were used to identify and screen the circRNAs, and the expression levels of circRNAs were calculated using spliced reads per billion mapping (SRPBM). Gene Ontology (GO; http://www.geneontology.org) and Kyoto Encyclopedia of Genes and Genomes (KEGG; http://www.genome.jp/kegg/) pathway analyses were applied to determine the functional roles of the differentially expressed lncRNA targets, cognate mRNAs of circRNAs, and mRNAs. GO terms and KEGG pathways with corrected P-values < 0.05 were considered to be significantly associated with the differentially expressed genes. Quantitative Polymerase Chain Reaction (qPCR) One microgram of total RNA was reverse-transcribed to cDNA using PrimeScript™ RT reagent kits with gDNA Eraser (TaKaRa Bio Inc., Otsu, Japan), in accordance with the manufacturer’s protocol. The qPCR procedure was performed with denaturation at 98°C for 60 s, followed by 40 cycles of denaturation at 98°C for 5 s, annealing at 58°C for 20 s, and extension at 72°C for 20 s. qPCR was conducted with the StepOnePlus™ Real-Time PCR System (Applied Biosystems, Foster City, CA, USA) using the SYBR Premix DimerEraser Kit (TaKaRa), in accordance with the manufacturer’s instructions. The expression level of the β-actin gene was used as an internal control to normalize the related gene expression levels. Samples were run at least three times with good reproducibility. The primer sequences for the lncRNAs/circRNAs/mRNAs used for qPCR are shown in Table 1. All the primers were designed with Primer Premier 5 (Biosoft International, Palo Alto, CA, USA) and produced by GENEWIZ, Inc. (Suzhou, China). One microgram of total RNA was reverse-transcribed to cDNA using PrimeScript™ RT reagent kits with gDNA Eraser (TaKaRa Bio Inc., Otsu, Japan), in accordance with the manufacturer’s protocol. The qPCR procedure was performed with denaturation at 98°C for 60 s, followed by 40 cycles of denaturation at 98°C for 5 s, annealing at 58°C for 20 s, and extension at 72°C for 20 s. qPCR was conducted with the StepOnePlus™ Real-Time PCR System (Applied Biosystems, Foster City, CA, USA) using the SYBR Premix DimerEraser Kit (TaKaRa), in accordance with the manufacturer’s instructions. The expression level of the β-actin gene was used as an internal control to normalize the related gene expression levels. Samples were run at least three times with good reproducibility. The primer sequences for the lncRNAs/circRNAs/mRNAs used for qPCR are shown in Table 1. All the primers were designed with Primer Premier 5 (Biosoft International, Palo Alto, CA, USA) and produced by GENEWIZ, Inc. (Suzhou, China). Statistical Analysis The data are expressed as the mean ± Standard Error of the Mean (SEM). All the statistical analyses were performed using GraphPad Prism (GraphPad Software, San Diego, CA, USA). Comparisons between the control and triptolide-treated groups were performed using t-tests. P < 0.05 was regarded as statistically significant and P < 0.01 was considered extremely statistically significant. The data are expressed as the mean ± Standard Error of the Mean (SEM). All the statistical analyses were performed using GraphPad Prism (GraphPad Software, San Diego, CA, USA). Comparisons between the control and triptolide-treated groups were performed using t-tests. P < 0.05 was regarded as statistically significant and P < 0.01 was considered extremely statistically significant. Chemicals: Triptolide (>98% purity) was purchased from EFEBIO Co., Ltd. (Shanghai, China). All other chemicals obtained from local companies were of analytical purity. Animals and Treatments: Ten-week-old male C57BL/6J mice (body weight 25.0 ± 1.5 g) were obtained from Beijing Vital River Laboratory Animal Technology Co., Ltd. (Beijing, China). All mice were kept at constant temperature (22 ± 2 °C) and relative humidity (40%-60%) with a 12/12-h light/dark cycle and were allowed to acclimate for 1 week before the experiments. The mice were divided randomly into two groups. The triptolide group (n = 6) was subjected to the intragastric (i.g.) administration of triptolide at 50 μg/kg body weight/day. The control group (n = 6) was fed saline (0.9% NaCl). The mice were killed by cervical dislocation 35 days after treatment. Testes and epididymal spermatozoa were quickly isolated and harvested for further study. All the experiments were carried out in accordance with the guidelines of the Institutional Animal Ethics Committee (IAEC) of Nanchang University (Nanchang, China). Sperm Functional Parameter Analysis: Sperm suspensions were obtained from cauda epididymis and then the sperm were allowed to swim out into high-saline (HS) solution (135 mM NaCl, 5 mM KCl, 1 mM MgSO4, 2 mM CaCl2, 20 mM HEPES, 5 mM glucose, 10 mM lactic acid, and 1 mM Na-pyruvate at pH 7.4 with NaOH) in a 5% CO2/air incubator (Heal Force, Hong Kong, China) at 37 °C for 15 min, as described previously [22]. Sperm concentration, motility, and morphology were analyzed in a Makler counting chamber (Sefi Medical Instruments, Haifa, Israel) by a computer-assisted semen analysis system (CASA; Hamilton Thorne, Danvers, MA, USA). At least 200 spermatozoa were counted for each assay. Histological Staining: The mouse testes were isolated and immediately fixed in 4% formaldehyde solution, embedded in paraffin, sectioned at a thickness of 5 μm, and then stained with hematoxylin and eosin (H&E). Hepatic pathological changes were observed under a light microscope (Olympus, Tokyo, Japan) at 200× magnification. RNA Isolation: Total RNAs were extracted from the testes using TaKaRa MiniBEST Universal RNA Extraction Kit (TaKaRa, Dalian, China), in accordance with the manufacturer’s protocol. The concentration and purity of the total RNA samples were evaluated using a NanoPhotometer (IMPLEN, Munich, Germany) with optical density measurements at A260/A280= 1.8 - 2.2. The integrity of RNA was examined using the 2100 Bioanalyzer (Agilent Corporation, Palo Alto, CA, USA) and by electrophoresis in 1.5% agarose gel to meet sequencing requirements. Deep Sequencing and Bioinformatic Analysis: After the rRNA had been depleted from total RNA using Ribo-Zero™ rRNA Removal Kit (Illumina, San Diego, CA, USA), next-generation sequencing library was constructed in accordance with the manufacturer’s protocol (NEBNext® Ultra™ Directional RNA Library Prep Kit for Illumina®). Sequencing was carried out using a 2 × 150 paired-end (PE) configuration. The sequences were processed and analyzed by GENEWIZ, Inc. (Suzhou, China). After the raw data produced by the Illumina HiSeq™ X Ten platform had been subjected to quality control tests, the clean data were aligned to a reference genome using the software Hisat2 (v2.0.1). Then, HTSeq (v0.6.1) was used to estimate gene and isoform expression levels from the paired-end clean data. Differential expression analysis was performed using the DESeq Bioconductor package, a model based on negative binomial distribution. After adjustment by Benjamini and Hochberg’s approach for controlling the false discovery rate, a P-value threshold of <0.05 for genes was set to define differential expressed ones. lncRNA-targeted genes were predicted based on cis and trans regulatory principles. The cis regulation by lncRNAs could be predicted by the software Bedtools (v2.17.0) and regulation in trans was analyzed via Blast (v 2.2.28+). CIRI (V2.0) software and CircBase were used to identify and screen the circRNAs, and the expression levels of circRNAs were calculated using spliced reads per billion mapping (SRPBM). Gene Ontology (GO; http://www.geneontology.org) and Kyoto Encyclopedia of Genes and Genomes (KEGG; http://www.genome.jp/kegg/) pathway analyses were applied to determine the functional roles of the differentially expressed lncRNA targets, cognate mRNAs of circRNAs, and mRNAs. GO terms and KEGG pathways with corrected P-values < 0.05 were considered to be significantly associated with the differentially expressed genes. Quantitative Polymerase Chain Reaction (qPCR): One microgram of total RNA was reverse-transcribed to cDNA using PrimeScript™ RT reagent kits with gDNA Eraser (TaKaRa Bio Inc., Otsu, Japan), in accordance with the manufacturer’s protocol. The qPCR procedure was performed with denaturation at 98°C for 60 s, followed by 40 cycles of denaturation at 98°C for 5 s, annealing at 58°C for 20 s, and extension at 72°C for 20 s. qPCR was conducted with the StepOnePlus™ Real-Time PCR System (Applied Biosystems, Foster City, CA, USA) using the SYBR Premix DimerEraser Kit (TaKaRa), in accordance with the manufacturer’s instructions. The expression level of the β-actin gene was used as an internal control to normalize the related gene expression levels. Samples were run at least three times with good reproducibility. The primer sequences for the lncRNAs/circRNAs/mRNAs used for qPCR are shown in Table 1. All the primers were designed with Primer Premier 5 (Biosoft International, Palo Alto, CA, USA) and produced by GENEWIZ, Inc. (Suzhou, China). Statistical Analysis: The data are expressed as the mean ± Standard Error of the Mean (SEM). All the statistical analyses were performed using GraphPad Prism (GraphPad Software, San Diego, CA, USA). Comparisons between the control and triptolide-treated groups were performed using t-tests. P < 0.05 was regarded as statistically significant and P < 0.01 was considered extremely statistically significant. RESULTS: Effects of Triptolide on Testis and Sperm Morphology and Physiological Sperm Parameters To confirm triptolide induced reproductive toxicity in vivo, histological changes of testes and sperm, and sperm functional parameters were investigated. As shown in Fig. (1A and 1B), triptolide led to significant histological changes in the testis, such as a decrease of spermatogenetic cells, lumen shrinkage, vacuolation, and other morphological abnormalities. After exposure of mice to triptolide for 35 days, there was no significant difference in the body weights of mice in the two groups (Fig. 1C), the testicular weight decreased significantly (P < 0.05) in the triptolide group compared with that in the control group (Fig. 1D). In addition, there were remarkable increases in sperm head and tail abnormalities (45.75%) (Fig. 1E, 1F and 1G) and significant reductions in sperm motility and density after triptolide exposure (Fig. 1H and 1I). To confirm triptolide induced reproductive toxicity in vivo, histological changes of testes and sperm, and sperm functional parameters were investigated. As shown in Fig. (1A and 1B), triptolide led to significant histological changes in the testis, such as a decrease of spermatogenetic cells, lumen shrinkage, vacuolation, and other morphological abnormalities. After exposure of mice to triptolide for 35 days, there was no significant difference in the body weights of mice in the two groups (Fig. 1C), the testicular weight decreased significantly (P < 0.05) in the triptolide group compared with that in the control group (Fig. 1D). In addition, there were remarkable increases in sperm head and tail abnormalities (45.75%) (Fig. 1E, 1F and 1G) and significant reductions in sperm motility and density after triptolide exposure (Fig. 1H and 1I). lncRNA, circRNA, and mRNA Expression Profiles In the present study, upon comparison with the control group, differentially expressed lncRNAs/circRNAs/mRNAs in the testes were detected 35 days after the exposure of mice to triptolide. Our data revealed that there were 33,057 detectable lncRNAs and 11,956 circRNAs in testes. As shown in Fig. (2), 344 lncRNAs were upregulated and 143 were downregulated by triptolide (≥2.0-fold change, P < 0.05). For circRNAs, 374 were upregulated and 206 were downregulated after triptolide exposure. Simultaneously, 2551 mRNAs were upregulated and 1,028 were downregulated by triptolide treatment. We speculated that these dysregulated lncRNAs/circRNAs/mRNAs might be good candidate markers for triptolide-induced male reproductive toxicity and would be worthy of further study. Detailed information on all of the differentially expressed lncRNAs/circRNAs/mRNAs is provided in Supplementary Tables S1-S3. In the present study, upon comparison with the control group, differentially expressed lncRNAs/circRNAs/mRNAs in the testes were detected 35 days after the exposure of mice to triptolide. Our data revealed that there were 33,057 detectable lncRNAs and 11,956 circRNAs in testes. As shown in Fig. (2), 344 lncRNAs were upregulated and 143 were downregulated by triptolide (≥2.0-fold change, P < 0.05). For circRNAs, 374 were upregulated and 206 were downregulated after triptolide exposure. Simultaneously, 2551 mRNAs were upregulated and 1,028 were downregulated by triptolide treatment. We speculated that these dysregulated lncRNAs/circRNAs/mRNAs might be good candidate markers for triptolide-induced male reproductive toxicity and would be worthy of further study. Detailed information on all of the differentially expressed lncRNAs/circRNAs/mRNAs is provided in Supplementary Tables S1-S3. GO Analysis and KEGG Pathway Analysis The expression of numerous lncRNAs/circRNAs/mRNAs revealed significant dysregulation after the exposure of mice to triptolide for 35 days. To uncover the functions of abnormal lncRNAs/circRNAs/mRNAs, bioinformatic enrichment analyses of GO terms and KEGG pathways were performed. GO analysis showed that the genes with aberrant lncRNA targets are mainly involved in the following biological processes: genetic imprinting, nodal signaling pathway, regulation of bone mineralization, bio-mineral tissue development, DNA methylation, DNA alkylation, and RNA metabolic and biosynthetic processes. Differentially expressed circRNA cognate genes mainly participate in post-translational protein targeting endoplasmic reticulum membrane, protein localization to endoplasmic reticulum, biological regulation, nucleoside metabolic process, chromosome separation, chromosome segregation, nuclear division, and organelle fission. The significantly enriched GO terms of the differentially expressed mRNAs included cellular metabolic process, chromosome organization, and DNA metabolic process (Table 2). KEGG pathway analysis of the differentially expressed lncRNA target genes identified the main categories of apoptosis, estrogen signaling pathway, GnRH signaling pathway, calcium signaling pathway, cAMP signaling pathway, systemic lupus erythematosus, mismatch repair, autophagy, and PI3K-Akt signaling pathway and other pathways. Analysis of circRNA cognate genes showed that they are involved in the Fanconi anemia pathway, ubiquitin-mediated proteolysis, and thiamine metabolism pathway. Metabolic process, ErbB signaling pathway, actin cytoskeleton, RNA degradation and transport, RNA degradation and transport, apoptosis, cell cycle, and MAPK signaling pathway were affected by triptolide exposure, as shown by mapping the differentially expressed mRNA genes to the KEGG database (Table 3). The expression of numerous lncRNAs/circRNAs/mRNAs revealed significant dysregulation after the exposure of mice to triptolide for 35 days. To uncover the functions of abnormal lncRNAs/circRNAs/mRNAs, bioinformatic enrichment analyses of GO terms and KEGG pathways were performed. GO analysis showed that the genes with aberrant lncRNA targets are mainly involved in the following biological processes: genetic imprinting, nodal signaling pathway, regulation of bone mineralization, bio-mineral tissue development, DNA methylation, DNA alkylation, and RNA metabolic and biosynthetic processes. Differentially expressed circRNA cognate genes mainly participate in post-translational protein targeting endoplasmic reticulum membrane, protein localization to endoplasmic reticulum, biological regulation, nucleoside metabolic process, chromosome separation, chromosome segregation, nuclear division, and organelle fission. The significantly enriched GO terms of the differentially expressed mRNAs included cellular metabolic process, chromosome organization, and DNA metabolic process (Table 2). KEGG pathway analysis of the differentially expressed lncRNA target genes identified the main categories of apoptosis, estrogen signaling pathway, GnRH signaling pathway, calcium signaling pathway, cAMP signaling pathway, systemic lupus erythematosus, mismatch repair, autophagy, and PI3K-Akt signaling pathway and other pathways. Analysis of circRNA cognate genes showed that they are involved in the Fanconi anemia pathway, ubiquitin-mediated proteolysis, and thiamine metabolism pathway. Metabolic process, ErbB signaling pathway, actin cytoskeleton, RNA degradation and transport, RNA degradation and transport, apoptosis, cell cycle, and MAPK signaling pathway were affected by triptolide exposure, as shown by mapping the differentially expressed mRNA genes to the KEGG database (Table 3). qPCR Confirmation We randomly selected six lncRNAs and two circRNAs from the pool of lncRNAs/circRNAs with fold change > 2.0 and analyzed their expression levels by a qPCR in testes to validate the reliability of our sequencing data. We also further investigated the expression levels of four spermatogenesis-required mRNA genes (Prm1, Prm2, Tnp1, and Tnp2), which were selected from 54 differentially expressed mRNAs enriched for the spermatogenesis GO term (Table 4). As shown in Fig. (3), the qPCR results were consistent with the sequencing data and showed the same trend of dysregulation for each lncRNA/circRNA/mRNA (Fig. 3). We randomly selected six lncRNAs and two circRNAs from the pool of lncRNAs/circRNAs with fold change > 2.0 and analyzed their expression levels by a qPCR in testes to validate the reliability of our sequencing data. We also further investigated the expression levels of four spermatogenesis-required mRNA genes (Prm1, Prm2, Tnp1, and Tnp2), which were selected from 54 differentially expressed mRNAs enriched for the spermatogenesis GO term (Table 4). As shown in Fig. (3), the qPCR results were consistent with the sequencing data and showed the same trend of dysregulation for each lncRNA/circRNA/mRNA (Fig. 3). Effects of Triptolide on Testis and Sperm Morphology and Physiological Sperm Parameters: To confirm triptolide induced reproductive toxicity in vivo, histological changes of testes and sperm, and sperm functional parameters were investigated. As shown in Fig. (1A and 1B), triptolide led to significant histological changes in the testis, such as a decrease of spermatogenetic cells, lumen shrinkage, vacuolation, and other morphological abnormalities. After exposure of mice to triptolide for 35 days, there was no significant difference in the body weights of mice in the two groups (Fig. 1C), the testicular weight decreased significantly (P < 0.05) in the triptolide group compared with that in the control group (Fig. 1D). In addition, there were remarkable increases in sperm head and tail abnormalities (45.75%) (Fig. 1E, 1F and 1G) and significant reductions in sperm motility and density after triptolide exposure (Fig. 1H and 1I). lncRNA, circRNA, and mRNA Expression Profiles: In the present study, upon comparison with the control group, differentially expressed lncRNAs/circRNAs/mRNAs in the testes were detected 35 days after the exposure of mice to triptolide. Our data revealed that there were 33,057 detectable lncRNAs and 11,956 circRNAs in testes. As shown in Fig. (2), 344 lncRNAs were upregulated and 143 were downregulated by triptolide (≥2.0-fold change, P < 0.05). For circRNAs, 374 were upregulated and 206 were downregulated after triptolide exposure. Simultaneously, 2551 mRNAs were upregulated and 1,028 were downregulated by triptolide treatment. We speculated that these dysregulated lncRNAs/circRNAs/mRNAs might be good candidate markers for triptolide-induced male reproductive toxicity and would be worthy of further study. Detailed information on all of the differentially expressed lncRNAs/circRNAs/mRNAs is provided in Supplementary Tables S1-S3. GO Analysis and KEGG Pathway Analysis: The expression of numerous lncRNAs/circRNAs/mRNAs revealed significant dysregulation after the exposure of mice to triptolide for 35 days. To uncover the functions of abnormal lncRNAs/circRNAs/mRNAs, bioinformatic enrichment analyses of GO terms and KEGG pathways were performed. GO analysis showed that the genes with aberrant lncRNA targets are mainly involved in the following biological processes: genetic imprinting, nodal signaling pathway, regulation of bone mineralization, bio-mineral tissue development, DNA methylation, DNA alkylation, and RNA metabolic and biosynthetic processes. Differentially expressed circRNA cognate genes mainly participate in post-translational protein targeting endoplasmic reticulum membrane, protein localization to endoplasmic reticulum, biological regulation, nucleoside metabolic process, chromosome separation, chromosome segregation, nuclear division, and organelle fission. The significantly enriched GO terms of the differentially expressed mRNAs included cellular metabolic process, chromosome organization, and DNA metabolic process (Table 2). KEGG pathway analysis of the differentially expressed lncRNA target genes identified the main categories of apoptosis, estrogen signaling pathway, GnRH signaling pathway, calcium signaling pathway, cAMP signaling pathway, systemic lupus erythematosus, mismatch repair, autophagy, and PI3K-Akt signaling pathway and other pathways. Analysis of circRNA cognate genes showed that they are involved in the Fanconi anemia pathway, ubiquitin-mediated proteolysis, and thiamine metabolism pathway. Metabolic process, ErbB signaling pathway, actin cytoskeleton, RNA degradation and transport, RNA degradation and transport, apoptosis, cell cycle, and MAPK signaling pathway were affected by triptolide exposure, as shown by mapping the differentially expressed mRNA genes to the KEGG database (Table 3). qPCR Confirmation: We randomly selected six lncRNAs and two circRNAs from the pool of lncRNAs/circRNAs with fold change > 2.0 and analyzed their expression levels by a qPCR in testes to validate the reliability of our sequencing data. We also further investigated the expression levels of four spermatogenesis-required mRNA genes (Prm1, Prm2, Tnp1, and Tnp2), which were selected from 54 differentially expressed mRNAs enriched for the spermatogenesis GO term (Table 4). As shown in Fig. (3), the qPCR results were consistent with the sequencing data and showed the same trend of dysregulation for each lncRNA/circRNA/mRNA (Fig. 3). DISCUSSION: In a clinical context, T. wilfordii extract has been shown to result in impaired fertility in men [23]. One of its active elements, triptolide, was found to exert a powerful sterilization effect for males and was tested in animal studies as a candidate male contraceptive agent [10]. This has prevented triptolide from being widely used to treat immune system diseases and being developed as an anticancer drug for those who wish to have children. Therefore, in the present study, our aim is to explore the mechanisms of triptolide-induced reproductive toxicity using mice as a model for analyses at the global transcriptome level. Our results revealed that testis weight and morphology in the triptolide-treated group were notably different from those in the control group. Furthermore, sperm motility and density in the cauda epididymis were dramatically impaired 35 days after treating mice with triptolide. Similar results were previously reported in triptolide-exposed rats [24]. Exposure of rats to triptolide from 5 to 70 days was also reported to lead to testis damage and impaired spermatogenesis [8, 9, 25, 26]. These findings suggest that triptolide-induced male infertility is rooted in decreased sperm production, abnormal morphology of the testis and sperm, and dysfunction of mature sperm, such as impaired sperm motility. Following triptolide withdrawal, the recovery of male fertility was relatively slow, suggesting that triptolide damaged not only germ cells in testis but also epididymal sperm [25]. lncRNAs are described as working in a cis manner when their effects are restricted to the chromosome from which they are transcribed, while they work in a trans manner when they affect genes on other chromosomes [27]. Based on this principle, we obtained 23,064 lncRNA target genes and predicted their functions based on the GO and KEGG databases. The circRNAs can perform similar functions in their cognate genes because the circular and linear RNAs are homologous [28]. The cognate linear RNAs of differentially expressed circRNAs were used to evaluate their potential functions by GO and KEGG analyses. The results showed that differently expressed lncRNA targets/circRNA cognate genes/mRNAs mainly affected many spermatogenesis-related biological processes and pathways. Previous studies have suggested that the nodal signaling pathway [29], thiamine metabolism [30], Fanconi anemia pathway [31], and DNA methylation [32] are closely related to spermatogenesis. Our GO/KEGG analyses showed that all of the above pathways were disturbed by triptolide-induced differentially expressed genes in testes, implying that these dysregulated pathways might lead to aberrant spermatogenesis after triptolide exposure. In addition, our results indicated that triptolide could serve as a chemical stress factor that appears to block normal meiosis, such as chromosome separation, chromosome segregation, nuclear division, organelle fission, and chromosome organization, thereby contributing to triptolide’s reproductive toxicity. All of these processes are indispensable for the correct production of sperm [33, 34], but were disrupted by triptolide. We found that the differentially expressed mRNAs were particularly associated with the actin cytoskeleton as a KEGG pathway. Interestingly, cytoskeletal organization is extremely rigorously controlled and essential for the production of fertile sperm [35]. It can be disturbed by stress factors such as osmotic pressure and other chemicals, resulting in morphological defects, decreased sperm motility, and even aspermatogenesis [36, 37]. Similar to the findings from the present study, data from Wang et al. demonstrated that triptolide induced cytoskeletal dysfunction mainly through the dysregulation of actin dynamics and disruption of cell-cell adherens junctions [38]. To ensure that minimum transcriptional and translational activity occurs in mature sperm, sperm RNA is discharged due to loss of most of the cytoplasm. As a result, the level of RNA in sperm is about 1% of that in somatic cells, which indicates that RNA metabolism or turnover plays a considerable role in spermiogenesis and sperm maturation [39]. In our study, RNA metabolism-related GO terms (RNA metabolism and biosynthesis, RNA degradation, and transport) were disturbed by triptolide. It has been reported that triptolide is an inhibitor of RNA polymerase I and II-dependent transcription, leading predominantly to the downregulation of short-lived mRNA [40], which might contribute to RNA turnover. Furthermore, demethylation and de novo methylation of DNA occur and are well controlled during spermatogenesis; aberrant alterations in DNA methylation could induce abnormal male reproductive performance including infertility [41, 42]. Here, lncRNA targets that were differentially expressed due to triptolide struck a balance of DNA methylation levels, suggesting that an epigenetic mechanism may be involved in triptolide-induced reproductive toxicity. It is worth mentioning that genetic imprinting was also reported to be affected by triptolide, which might result from changes in DNA methylation since DNA methylation is pivotal in the process of imprinting [43]. Moreover, abnormal morphological features in the testis, such as a decrease of spermatogenetic cells, lumen shrinkage, vacuolation, and a decreased number of sperm, provided evidence of the disruption of apoptosis, autophagy, and the cell cycle. Indeed, it has been reported that triptolide-induced toxicity acts on apoptosis, autophagy, and the cell cycle [7]. Previous studies have reported that the cAMP/PKA pathway participates in the regulation of enzymes involved in estrogen synthesis [44]. Our data also showed that triptolide could disturb the cAMP signaling pathway and reports of triptolide-induced reproductive toxicity revealed that triptolide induced a reduction of cellular cAMP concentration [45, 46], indicating that disruption of the cAMP/PKA pathway contributed to reproductive dysfunction. Taking these findings together, many interacting pathways or biological processes appear to contribute in combination to the male subfertility caused by triptolide. In the present study, we found the dysregulation of 54 spermatogenesis-related mRNA genes. Many of these genes, such as Tnp1, Tnp2, Prm1, and Prm2, were downregulated. Spermiogenesis is the key step in spermatogenesis, which is strictly regulated and has been proposed to play a vital role in shaping the sperm head. During spermiogenesis, Tnp1 and Tnp2 (transition proteins) appear in step-12 and -13 spermatids, steps in which the histones are displaced by these transition proteins. Mice with Tnp1 and/or Tnp2 deficiency were reported to exhibit teratozoospermia and subfertility, and even infertility [47, 48]. Our data revealed that triptolide decreased the expression levels of both Tnp1 and Tnp2, which might contribute to triptolide-induced sperm deformity, especially in chromatin condensation during spermiogenesis. Next, the transition proteins are replaced by protamines such as Prm1 and Prm2. The presence of both Prm1 and Prm2 is required for proper spermatid maturation and male fertility [49, 50]. Here, triptolide was also shown to disturb protamine expression levels. Taking these findings together, the disorder of crosstalk among all spermatogenesis-related genes could result in triptolide-induced male infertility. CONCLUSION: In summary, to the best of our knowledge, our study is the first to obtain genome-wide lncRNA/circRNA/mRNA expression profiles in mice with triptolide-induced subfertility, which was achieved using strand-specific RNA sequencing in testes. This study provides a solid theoretical foundation and preliminary database for further research into the molecular mechanisms by which lncRNAs/circRNAs play significant roles in triptolide-induced reproductive toxicity. Additionally, mice with triptolide-induced infertility might serve as a good model for revealing the functional noncoding RNAs involved in spermatogenesis. ETHICS APPROVAL AND CONSENT TO PARTICIPATE: All the experiments were carried out in accordance with the guidelines of the Institutional Animal Ethics Committee (IAEC) of Nanchang University (Nanchang, China). HUMAN AND ANIMAL RIGHTS: No humans were involved in this study, the reported experiments on animals were in accordance with the standards set forth in the 8th Edition of Guide for the Care and Use of Laboratory Animals (http://grants.nih.gov/grants/olaw/Guide-for-thecare-and-use-of-laboratory-animals.pdf) published by the National Academy of Sciences. CONSENT FOR PUBLICATION: Not applicable. AVAILABILITY OF DATA AND MATERIALS: The RNA-seq data sets generated in this study have been submitted to the NCBI Gene Expression Omnibus (GEO; http://www.ncbi.nlm.nih.gov/geo) under accession number GSE126857. FUNDING: This research was supported by the National Natural Science Foundation of China (81760283 and 31801238).
Background: Triptolide has been shown to exert various pharmacological effects on systemic autoimmune diseases and cancers. However, its severe toxicity, especially reproductive toxicity, prevents its widespread clinical use for people with fertility needs. Noncoding RNAs including lncRNAs and circRNAs are novel regulatory molecules that mediate a wide variety of physiological activities; they are crucial for spermatogenesis and their dysregulation might cause male infertility. However, whether they are involved in triptolide-induced reproductive toxicity is completely unknown. Methods: After exposure of mice to triptolide, the total RNAs were used to investigate lncRNA/circRNA/mRNA expression profiles by strand-specific RNA sequencing at the transcriptome level to help uncover RNA-related mechanisms in triptolide-induced toxicity. Results: Triptolide significantly decreased testicular weight, damaged testis and sperm morphology, and reduced sperm motility and density. Remarkable deformities in sperm head and tail were also found in triptolide-exposed mice. At the transcriptome level, the triptolide-treated mice exhibited aberrant expression profiles of lncRNAs/circRNAs/mRNAs. Gene Ontology and pathway analyses revealed that the functions of the differentially expressed lncRNA targets, circRNA cognate genes, and mRNAs were closely linked to many processes involved in spermatogenesis. In addition, some lncRNAs/circRNAs were greatly upregulated or inducibly expressed, implying their potential value as candidate markers for triptolide-induced male reproductive toxicity. Conclusions: This study provides a preliminary database of triptolide-induced transcriptome, promotes understanding of the reproductive toxicity of triptolide, and highlights the need for research on increasing the medical efficacy of triptolide and decreasing its toxicity.
INTRODUCTION: Triptolide is a unique diterpene triepoxide isolated from the Chinese medicinal plant Tripterygium wilfordii Hook f., which is used to treat various rheumatological [1] and dermatological conditions [2]. Recently, triptolide has been reported to exert efficient antitumor activity in various human cancers [3-6], and is very promising as a potential new anticancer drug. However, exposure to triptolide could result in injury of various organs in animals and humans [7]. It has also been reported to cause subfertility and infertility by disturbing spermatogenesis and sperm function in rodents [8-10]. These side effects prevent its widespread clinical use for those with fertility needs. There is thus an urgent need to uncover the mechanisms underlying triptolide-induced reproductive toxicity and to identify measures for decreasing triptolide’s toxicity. Long noncoding RNAs (lncRNAs), which are novel regulatory molecules of >200 bp in length, participate in most pathophysiological processes and human diseases. Global genome expression profiles of lncRNAs have indicated that many lncRNAs are highly enriched and exclusively expressed in testes and/or spermatogenic cells [11-13]. Recent studies have also shown that functional deficiency of key lncRNAs could decrease the sperm count in mice, and even cause male infertility in Drosophila [14, 15], suggesting that lncRNAs play crucial roles in spermatogenesis. lncRNAs could also act as indicators of stress due to environmental pollutants and boost our understanding of the pharmacological or toxicological mechanisms of drugs and toxicants [16, 17]. However, it has remained unclear whether the abnormal expression and/or regulation of lncRNAs is involved in triptolide-induced infertility. Circular RNAs (circRNAs) are the products of a unique type of alternative splicing, by which the 3′-end of an exon is spliced to the 5´-end of an upstream exon [18]. The production of circRNAs is probably a highly regulated cell/tissue/age-type-specific process, and among lncRNAs, these molecules are of particular interest in gene regulation. They might thus become biomarkers for diseases of male infertility and exposure to pollutant stress [19, 20]. In a recent report, it was described that key circRNAs participate in testis development or spermatogenesis [21]. Because triptolide could lead to abnormal spermatogenesis, we were interested in whether circRNAs intervened in triptolide-induced reproductive toxicity. Here, we explored the lncRNA/circRNA-related mechanisms of triptolide-induced male reproductive toxicology by investigating lncRNA/circRNA/mRNA expression profiles at the transcriptome level by strand-specific RNA sequencing. CONCLUSION: In summary, to the best of our knowledge, our study is the first to obtain genome-wide lncRNA/circRNA/mRNA expression profiles in mice with triptolide-induced subfertility, which was achieved using strand-specific RNA sequencing in testes. This study provides a solid theoretical foundation and preliminary database for further research into the molecular mechanisms by which lncRNAs/circRNAs play significant roles in triptolide-induced reproductive toxicity. Additionally, mice with triptolide-induced infertility might serve as a good model for revealing the functional noncoding RNAs involved in spermatogenesis.
Background: Triptolide has been shown to exert various pharmacological effects on systemic autoimmune diseases and cancers. However, its severe toxicity, especially reproductive toxicity, prevents its widespread clinical use for people with fertility needs. Noncoding RNAs including lncRNAs and circRNAs are novel regulatory molecules that mediate a wide variety of physiological activities; they are crucial for spermatogenesis and their dysregulation might cause male infertility. However, whether they are involved in triptolide-induced reproductive toxicity is completely unknown. Methods: After exposure of mice to triptolide, the total RNAs were used to investigate lncRNA/circRNA/mRNA expression profiles by strand-specific RNA sequencing at the transcriptome level to help uncover RNA-related mechanisms in triptolide-induced toxicity. Results: Triptolide significantly decreased testicular weight, damaged testis and sperm morphology, and reduced sperm motility and density. Remarkable deformities in sperm head and tail were also found in triptolide-exposed mice. At the transcriptome level, the triptolide-treated mice exhibited aberrant expression profiles of lncRNAs/circRNAs/mRNAs. Gene Ontology and pathway analyses revealed that the functions of the differentially expressed lncRNA targets, circRNA cognate genes, and mRNAs were closely linked to many processes involved in spermatogenesis. In addition, some lncRNAs/circRNAs were greatly upregulated or inducibly expressed, implying their potential value as candidate markers for triptolide-induced male reproductive toxicity. Conclusions: This study provides a preliminary database of triptolide-induced transcriptome, promotes understanding of the reproductive toxicity of triptolide, and highlights the need for research on increasing the medical efficacy of triptolide and decreasing its toxicity.
7,933
300
[ 32, 186, 152, 57, 97, 347, 211, 72, 166, 159, 299, 121, 29, 46, 3, 18 ]
22
[ "triptolide", "circrnas", "sperm", "pathway", "lncrnas", "rna", "expressed", "genes", "mrnas", "expression" ]
[ "lncrnas novel regulatory", "aberrant lncrna targets", "triptolide reproductive toxicity", "lncrnas decrease sperm", "triptolide inhibitor rna" ]
null
[CONTENT] Triptolide | lncRNA | circRNA | RNA sequencing | spermatogenesis | male infertility [SUMMARY]
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[CONTENT] Triptolide | lncRNA | circRNA | RNA sequencing | spermatogenesis | male infertility [SUMMARY]
[CONTENT] Triptolide | lncRNA | circRNA | RNA sequencing | spermatogenesis | male infertility [SUMMARY]
[CONTENT] Triptolide | lncRNA | circRNA | RNA sequencing | spermatogenesis | male infertility [SUMMARY]
[CONTENT] Triptolide | lncRNA | circRNA | RNA sequencing | spermatogenesis | male infertility [SUMMARY]
[CONTENT] Animals | Antispermatogenic Agents | Diterpenes | Epoxy Compounds | Male | Mice, Inbred C57BL | Phenanthrenes | RNA, Circular | RNA, Long Noncoding | RNA, Messenger | Sperm Motility | Spermatogenesis | Spermatozoa | Testis | Transcriptome [SUMMARY]
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[CONTENT] Animals | Antispermatogenic Agents | Diterpenes | Epoxy Compounds | Male | Mice, Inbred C57BL | Phenanthrenes | RNA, Circular | RNA, Long Noncoding | RNA, Messenger | Sperm Motility | Spermatogenesis | Spermatozoa | Testis | Transcriptome [SUMMARY]
[CONTENT] Animals | Antispermatogenic Agents | Diterpenes | Epoxy Compounds | Male | Mice, Inbred C57BL | Phenanthrenes | RNA, Circular | RNA, Long Noncoding | RNA, Messenger | Sperm Motility | Spermatogenesis | Spermatozoa | Testis | Transcriptome [SUMMARY]
[CONTENT] Animals | Antispermatogenic Agents | Diterpenes | Epoxy Compounds | Male | Mice, Inbred C57BL | Phenanthrenes | RNA, Circular | RNA, Long Noncoding | RNA, Messenger | Sperm Motility | Spermatogenesis | Spermatozoa | Testis | Transcriptome [SUMMARY]
[CONTENT] Animals | Antispermatogenic Agents | Diterpenes | Epoxy Compounds | Male | Mice, Inbred C57BL | Phenanthrenes | RNA, Circular | RNA, Long Noncoding | RNA, Messenger | Sperm Motility | Spermatogenesis | Spermatozoa | Testis | Transcriptome [SUMMARY]
[CONTENT] lncrnas novel regulatory | aberrant lncrna targets | triptolide reproductive toxicity | lncrnas decrease sperm | triptolide inhibitor rna [SUMMARY]
null
[CONTENT] lncrnas novel regulatory | aberrant lncrna targets | triptolide reproductive toxicity | lncrnas decrease sperm | triptolide inhibitor rna [SUMMARY]
[CONTENT] lncrnas novel regulatory | aberrant lncrna targets | triptolide reproductive toxicity | lncrnas decrease sperm | triptolide inhibitor rna [SUMMARY]
[CONTENT] lncrnas novel regulatory | aberrant lncrna targets | triptolide reproductive toxicity | lncrnas decrease sperm | triptolide inhibitor rna [SUMMARY]
[CONTENT] lncrnas novel regulatory | aberrant lncrna targets | triptolide reproductive toxicity | lncrnas decrease sperm | triptolide inhibitor rna [SUMMARY]
[CONTENT] triptolide | circrnas | sperm | pathway | lncrnas | rna | expressed | genes | mrnas | expression [SUMMARY]
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[CONTENT] triptolide | circrnas | sperm | pathway | lncrnas | rna | expressed | genes | mrnas | expression [SUMMARY]
[CONTENT] triptolide | circrnas | sperm | pathway | lncrnas | rna | expressed | genes | mrnas | expression [SUMMARY]
[CONTENT] triptolide | circrnas | sperm | pathway | lncrnas | rna | expressed | genes | mrnas | expression [SUMMARY]
[CONTENT] triptolide | circrnas | sperm | pathway | lncrnas | rna | expressed | genes | mrnas | expression [SUMMARY]
[CONTENT] triptolide | lncrnas | infertility | spermatogenesis | triptolide induced | induced | mechanisms | circrnas | type | recent [SUMMARY]
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[CONTENT] pathway | signaling | signaling pathway | triptolide | fig | lncrnas | circrnas | mrnas | metabolic | lncrnas circrnas [SUMMARY]
[CONTENT] mice triptolide induced | triptolide induced | induced | triptolide | mice triptolide | study | mice | theoretical foundation | theoretical | good model revealing functional [SUMMARY]
[CONTENT] triptolide | applicable | circrnas | lncrnas | sperm | mm | pathway | china | rna | fig [SUMMARY]
[CONTENT] triptolide | applicable | circrnas | lncrnas | sperm | mm | pathway | china | rna | fig [SUMMARY]
[CONTENT] ||| ||| circRNAs ||| [SUMMARY]
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[CONTENT] ||| ||| ||| ||| [SUMMARY]
[CONTENT] [SUMMARY]
[CONTENT] ||| ||| circRNAs ||| ||| RNA | RNA ||| ||| ||| ||| ||| ||| ||| [SUMMARY]
[CONTENT] ||| ||| circRNAs ||| ||| RNA | RNA ||| ||| ||| ||| ||| ||| ||| [SUMMARY]
Interictal burden attributable to episodic headache: findings from the Eurolight project.
26879832
Most primary headaches are episodic, and most estimates of the heavy disability burden attributed to headache derive from epidemiological data focused on the episodic subtypes of migraine and tension-type headache (TTH). These disorders give rise directly but intermittently to symptom burden. Nevertheless, people with these disorders may not be symptom-free between attacks. We analysed the Eurolight dataset for interictal burden.
BACKGROUND
Eurolight was a cross-sectional survey using modified cluster sampling from the adult population (18-65 years) in 10 countries of the European Union. We used data from nine. The questionnaire included headache-diagnostic questions based on ICHD-II and several question sets addressing impact, including interictal and cumulative burdens.
METHODS
There were 6455 participants with headache (male 2444 [37.9 %]). Interictal symptoms were reported by 26.0 % of those with migraine and 18.9 % with TTH: interictal anxiety by 10.6 % with migraine and avoidance (lifestyle compromise) by 14.8 %, both much more common than in TTH (3.1 % [OR 3.8] and 4.7 % [OR 3.5] respectively). Mean time spent in the interictal state was 317 days/year for migraine, 331 days/year for TTH. Those who were "rarely" or "never" in control of their headaches (migraine 15.2 %, TTH 9.6 %) had significantly raised odds of interictal anxiety, avoidance and other interictal symptoms. Among those with migraine, interictal anxiety increased markedly with headache intensity and frequency, avoidance less so but still significantly. Lost productive time was associated with high ORs (up to 5.3) of anxiety and avoidance. A third (32.9 %) with migraine and a quarter (26.7 %) with TTH (difference: p < 0.0001) were reluctant to tell others of their headaches. About 10 % with each disorder felt families and friends did not understand their headaches. Nearly 12 % with migraine reported their employers and colleagues did not. Regarding cumulative burden, 11.8 % reported they had done less well in education because of headache, 5.9 % reported reduced earnings and 7.4 % that their careers had suffered.
RESULTS
Interictal burden in those with episodic headache is common, more so in migraine than TTH. Some elements have the potential to be profoundly consequential. New methodology is needed to measure interictal burden if descriptions of headache burden are to be complete.
CONCLUSIONS
[ "Adult", "Cost of Illness", "Cross-Sectional Studies", "European Union", "Female", "Humans", "Male", "Middle Aged", "Migraine Disorders", "Tension-Type Headache" ]
4754227
Background
Headache disorders, especially tension-type headache (TTH) and migraine, are extremely common [1]. From a public-health perspective, and also from the viewpoint of affected people, they are also among the most disabling: migraine is the sixth highest cause in the world of years of healthy life lost to disability (YLDs), and headache disorders collectively are third, according to the Global Burden of Disease Study 2013 (GBD2013) [2, 3]. Various causes of headache occurring on ≥15 days every month affect 2–4 % of the world’s adult population [4]. Among these, medication-overuse headache (MOH) affects 1–2 % [5], and this disorder is itself among the top 20 causes (18th) of YLDs [2, 3]. Nevertheless, most primary headaches are episodic, and most of the disability burden attributed to headache in GBD2013 was based on epidemiological data focused on the episodic subtypes of migraine and TTH. These disorders give rise directly, but intermittently, to symptom burden: pain, often accompanied in the case of migraine by nausea, vomiting and photo- and/or phonophobia. All of these tend to cause debility, prostration and reduced functional ability, a secondary disability burden which is the principal cause of YLDs and consequential lost productivity. This ictal burden is easily conceptualised; but it has long been recognised that people with episodic headache may not be entirely symptom-free between attacks [6, 7]. There are good reasons for this. Since headache attacks are unpleasant, people who experience them wish not to do so. Those in whom they occur frequently are very likely to worry about when the next may happen, and in some this can reach a level of anxiety. More commonly it may provoke avoidance behaviour, particularly among those with migraine who identify triggers and endeavour to eliminate them by lifestyle compromise. Sensible this may be, but too much lifestyle compromise may take the pleasure out of life. An example given by Stovner et al. was this: “Leisure activities may be cancelled or curtailed because of headache; when many have been cancelled, social events are likely not to be planned in the first place. Social life between attacks may simply cease” [7]. These are elements of interictal burden. The health and wellbeing importance of interictal burden lies in its continuity. Whereas the ictal burden of episodic headache is typically present during only one or two days in every month, interictal burden can impose itself on all of the other days. This means two things. First, interictal burden ought not to be ignored: the burden of headache is very poorly described if it does not take interictal burden into account. Second, if interictal burden is overestimated, then multiplied by time, quantification of overall burden is likely to be greatly distorted. GBD2010 described distinct ictal and interictal health states associated with both migraine and TTH, and allocated disability weights (DWs) to each, but the interictal DWs and burden estimates arising from them were not reported [1], probably for this reason. In fact there is little empirical knowledge about interictal burden. Furthermore, while it has been described [6–10], it has no accepted definition. A single Swedish study has made a population-based estimate of prevalence [11], but this described only the proportion of people with migraine (43 %) who recovered completely between attacks. There are no published studies that have estimated magnitude. We may assume that significant relationships exist between interictal burden and the behaviour, performance, productivity, family life and social activities of those affected, but no data exist to confirm these. The Eurolight project, supported by the European Commission Public Health Executive Agency, was a partnership activity within the Global Campaign against Headache. Its main purpose was to gather knowledge of the impact of headache disorders of public-health importance across Europe. Its questionnaire included a number of question sets designed to capture elements of headache-attributed burden, among which were those likely to be experienced interictally. We analysed the Eurolight dataset accordingly, and report our findings here. Our working definition of interictal burden was: “Any loss of health or wellbeing attributable to a headache disorder reportedly experienced while headache-free.” It has multiple components [10]; those addressed by the Eurolight questionnaire included interictal anxiety, avoidance behaviour and non-headache symptoms; perceptions of poor headache control, stigma and social isolation; and the cumulative burdens engendered by disturbed education, lost career opportunities and damaged family life.
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Results
Demographics and diagnoses In total there were 6455 participants with any headache from the nine countries (male 2444 [37.9 %], mean age 41.9 ± SD = 12.6 years; female 4011 [62.1 %], mean age 40.8 ± 12.1 years). Among these, 2959 were diagnosed with migraine, 3033 with TTH and 249 with pMOH (Table 3).Table 3Proportions of participants with headache reporting interictal burden, by headache type and genderHeadache typeGenderNInterictal anxietyInterictal avoidanceNot free of all symptomsMean time in interictal state n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI]days/year (mean ± SE)AllFemale4011344 (8.6) [7.7–9.5]441 (11.0) [10.0–12.0]902 (22.5) [21.2–23.8]316 ± 1Male2444157 (6.4) [5.4–7.4]227 (9.3) [8.1–10.5]575 (23.5) [21.8–25.2]All6455501 (7.8) [7.1–8.5]668 (10.3) [9.6–11.0]1478 (22.9) [21.9–23.9]MigraineFemale2042224 (11.0) [9.6–12.4]302 (14.8) [13.3–16.3]522 (25.6) [23.7–27.5]317 ± 1Male91791 (9.9) [8.0–11.8]135 (14.7) [12.4–17.0]248 (27.0) [24.1–29.9]All2959315 (10.6) [9.5–11.7]437 (14.8) [13.5–16.1]770 (26.0) [24.4–27.6]Tension–type headacheFemale165751 (3.1) [2.3–3.9]70 (4.2) [3.2–5.2]283 (17.1) [15.3–18.9]331 ± 1Male137642 (3.1) [2.2–4.0]72 (5.2) [4.0–6.4]289 (21.0) [18.8–23.2]All303393 (3.1) [2.5–3.7]142 (4.7) [3.9–5.5]572 (18.9) [17.5–20.3]Probable medication–overuse headacheFemale18853 (28.2) [21.8–34.6]58 (30.9) [24.3–37.5]76 (40.4) [33.4–47.4]120 ± 4Male6119 (31.1) [19.5–42.7]15 (24.6) [13.8–35.4]25 (41.0) [28.7–53.3]All24972 (28.9) [23.3–34.5]73 (29.3) [23.6–35.0]101 (40.6) [34.5–46.7] Proportions of participants with headache reporting interictal burden, by headache type and gender In total there were 6455 participants with any headache from the nine countries (male 2444 [37.9 %], mean age 41.9 ± SD = 12.6 years; female 4011 [62.1 %], mean age 40.8 ± 12.1 years). Among these, 2959 were diagnosed with migraine, 3033 with TTH and 249 with pMOH (Table 3).Table 3Proportions of participants with headache reporting interictal burden, by headache type and genderHeadache typeGenderNInterictal anxietyInterictal avoidanceNot free of all symptomsMean time in interictal state n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI]days/year (mean ± SE)AllFemale4011344 (8.6) [7.7–9.5]441 (11.0) [10.0–12.0]902 (22.5) [21.2–23.8]316 ± 1Male2444157 (6.4) [5.4–7.4]227 (9.3) [8.1–10.5]575 (23.5) [21.8–25.2]All6455501 (7.8) [7.1–8.5]668 (10.3) [9.6–11.0]1478 (22.9) [21.9–23.9]MigraineFemale2042224 (11.0) [9.6–12.4]302 (14.8) [13.3–16.3]522 (25.6) [23.7–27.5]317 ± 1Male91791 (9.9) [8.0–11.8]135 (14.7) [12.4–17.0]248 (27.0) [24.1–29.9]All2959315 (10.6) [9.5–11.7]437 (14.8) [13.5–16.1]770 (26.0) [24.4–27.6]Tension–type headacheFemale165751 (3.1) [2.3–3.9]70 (4.2) [3.2–5.2]283 (17.1) [15.3–18.9]331 ± 1Male137642 (3.1) [2.2–4.0]72 (5.2) [4.0–6.4]289 (21.0) [18.8–23.2]All303393 (3.1) [2.5–3.7]142 (4.7) [3.9–5.5]572 (18.9) [17.5–20.3]Probable medication–overuse headacheFemale18853 (28.2) [21.8–34.6]58 (30.9) [24.3–37.5]76 (40.4) [33.4–47.4]120 ± 4Male6119 (31.1) [19.5–42.7]15 (24.6) [13.8–35.4]25 (41.0) [28.7–53.3]All24972 (28.9) [23.3–34.5]73 (29.3) [23.6–35.0]101 (40.6) [34.5–46.7] Proportions of participants with headache reporting interictal burden, by headache type and gender Interictal anxiety, avoidance and other interictal symptoms Table 3 shows the proportions responding adversely to each of the three questions (see Table 2), for all participants with headache and by diagnosis and gender. It also shows, by diagnosis, the time in days/year spent with interictal burden. With regard to the episodic headaches, about one quarter (26.0 %) of participants with migraine and just under one fifth (18.9 %) with TTH reported interictal symptoms, in each case rather more males than females. Interictal anxiety was reported by about 10 % of those with migraine, avoidance by about 15 %. Both were much more common in migraine than TTH (for interictal anxiety, OR 3.8 [95 % CI: 3.0–4.8]; for avoidance, OR 3.5 [95 % CI: 2.9–4.3]). All proportions were substantially higher in pMOH: we report them in Table 3 for comparative interest, but note that, in any headache occurring on ≥15 days/month, it is not easy to discern what is ictal and what is interictal. For this reason, we present no further analyses of pMOH. About half (53.1 %) of those with migraine, and nearly three quarters (71.4 %) with TTH, were “always” or “often” in control of their headaches; on the other hand, 15.2 % with migraine and 9.6 % with TTH were “rarely” or “never” so (Table 4). Gender differences were notable in the proportions “always” in control, significantly favouring males: for migraine, chi-squared = 43.923, p < 0.0001; for TTH, chi-squared = 4.677, p = 0.0306.Table 4Proportions of participants with headache reporting degrees of control of their headaches, by headache type and genderHeadache typeGenderNIn control of headaches“Always”“Often”“Sometimes”“Rarely”“Never” n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI]MigraineFemale2042228 (11.2) [9.8–12.6]812 (39.8) [37.7–41.9]667 (32.7) [30.7–34.7]214 (10.5) [9.2–11.8]100 (4.9) [4.0–5.8]Male917187 (20.4) [17.8–23.0]344 (37.5) [34.4–40.6]243 (26.5) [23.6–29.4]80 (8.7) [6.9–10.5]56 (6.1) [4.6–7.7]All2959415 (14.0) [12.8–15.3]1156 (39.1) [37.3–40.9]910 (30.8) [29.1–32.5]294 (9.9) [8.8–11.0]157 (5.3) [4.5–6.1]Tension–type headacheFemale1657566 (34.2) [31.9–36.5]608 (36.7) [34.4–39.0]307 (18.5) [16.6–20.4]87 (5.3) [4.2–6.4]54 (3.3) [2.4–4.2]Male1376523 (38.0) [35.4–40.6]470 (34.2) [31.7–36.7]209 (15.2) [13.3–17.1]79 (5.7) [4.5–6.9]71 (5.2) [4.0–6.4]All30331089 (35.9) [34.2–37.6]1078 (35.5) [33.8–37.2]516 (17.0) [15.7–18.3]166 (5.5) [4.7–6.3]125 (4.1) [3.4–4.8] Proportions of participants with headache reporting degrees of control of their headaches, by headache type and gender We enquired into whether the probability of reporting interictal burden would increase with greater reported ictal burden (Table 5), although we did this only among those with migraine because ictal burden generally remains low in TTH. Interictal anxiety increased markedly with headache intensity and frequency, avoidance less so but still significantly. This was not the case with interictal symptoms, where increased odds of reporting were significant only among those with very high attack frequencies (>90 days/year). Those reporting poor control of their headaches had significantly raised odds of interictal anxiety, avoidance and other interictal symptoms. Lost productive time measured by the HALT index, especially lost work time, was associated with quite high odds (OR up to 5.3) of reporting interictal anxiety and avoidance, although, with increasing lost work time beyond the range 12–22 days/3 months, these odds tended to decline. With lost household work, the opposite was the case (Table 5).Table 5Probability of reporting interictal burden according to measures of ictal burden in participants with migraineIctal burden measureProbability of reporting interictal burdenOdds ratio [95 % CI]Interictal anxietyInterictal avoidanceNot free of all symptomsHeadache intensity (reference: “not bad”)“bad”2.8 [1.5–5.4]1.6 [1.1–2.4]1.1 [0.8–1.4]“very bad”7.6 [4.0–14.7]3.0 [2.0–4.6]1.3 [1.0–1.8]Headache frequency (days/year) (reference: ≤12)13–242.4 [1.5–3.7]1.6 [1.1–2.2]1.1 [0.8–1.4]25–482.5 [1.7–3.8]2.0 [1.5–2.8]1.3 [1.0–1.6]49–903.7 [2.5–5.6]2.7 [1.9–3.6]1.3 [1.0–1.6]>906.4 [4.3–9.6]2.5 [1.8–3.6]1.8 [1.3–2.3]In control of headaches (reference: “always”)“often”1.1 [0.7–1.9]1.5 [1.0–2.2]1.1 [1.1–1.9]“sometimes”3.5 [2.1–5.6]2.8 [1.9–4.1]1.9 [1.4–2.5]“rarely” or “never”4.1 [2.5–6.9]2.6 [1.7–3.9]2.5 [1.8–3.4]Lost productive time (HALT index): lost work time (days/3 months) (reference: ≤11)12–225.3 [3.6–7.9]2.9 [1.9–4.3]1.8 [1.2–2.6]23–334.2 [2.0–8.9]2.3 [1.1–5.0]1.8 [0.9–3.7]>334.2 [1.7–10.2]2.7 [1.1–6.6]1.9 [0.8–4.4]lost household time (days/3 months) (reference: ≤11)12–222.4 [1.7–3.6]2.4 [1.7–3.4]1.3 [0.9–1.8]23–333.6 [2.1–6.3]2.3 [1.3–4.0]1.8 [1.1–3.0]>335.3 [2.6–10.7]3.8 [1.9–7.6]1.7 [0.9–3.5]lost work + household time + social events (days/3 months) (reference: ≤22)23–444.1 [2.9–5.7]2.9 [2.1–4.0]1.5 [1.1–2.0]45–664.0 [2.2–7.2]2.8 [1.6–5.0]2.2 [1.3–3.6]>664.4 [2.3–8.3]2.4 [1.3–4.5]1.7 [1.0–3.1] Probability of reporting interictal burden according to measures of ictal burden in participants with migraine We wondered whether our enquiry into interictal anxiety might be influenced by general anxiety. We could test this, because our enquiry included HADS; this enabled us to compare, for prevalence of interictal anxiety, those with HADS-A scores in the normal range (<8), borderline cases (scoring 8–10) and those at or above the threshold score (11) for anxiety caseness [18]. We performed this analysis in those with migraine, in whom we found a clear gradient: 7.9 %, 10.4 % (OR 1.3 [95 % CI: 1.0–1.8]; p = 0.072) and 17.8 % (OR 2.3 [95 % CI: 1.7–3.0]; p < 0.0001) respectively. We also repeated the analysis shown in Table 3 after excluding participants with HADS-A scores ≥11 (n = 1166). All proportions with interictal symptoms were reduced, but most not by much: for example, in males with migraine, interictal anxiety was reduced from 9.9 to 7.0 % (Fisher’s exact: p = 0.0066), avoidance from 14.7 to 14.0 % (p = 0.6783); in females with migraine, interictal anxiety was reduced from 11.0 to 10.0 % (p = 0.3293), avoidance from 14.8 to 14.0 % (p = 0.5073). We did not undertake these analyses in participants with TTH because their level of interictal anxiety was so much lower, or in those with pMOH because of small numbers. Table 3 shows the proportions responding adversely to each of the three questions (see Table 2), for all participants with headache and by diagnosis and gender. It also shows, by diagnosis, the time in days/year spent with interictal burden. With regard to the episodic headaches, about one quarter (26.0 %) of participants with migraine and just under one fifth (18.9 %) with TTH reported interictal symptoms, in each case rather more males than females. Interictal anxiety was reported by about 10 % of those with migraine, avoidance by about 15 %. Both were much more common in migraine than TTH (for interictal anxiety, OR 3.8 [95 % CI: 3.0–4.8]; for avoidance, OR 3.5 [95 % CI: 2.9–4.3]). All proportions were substantially higher in pMOH: we report them in Table 3 for comparative interest, but note that, in any headache occurring on ≥15 days/month, it is not easy to discern what is ictal and what is interictal. For this reason, we present no further analyses of pMOH. About half (53.1 %) of those with migraine, and nearly three quarters (71.4 %) with TTH, were “always” or “often” in control of their headaches; on the other hand, 15.2 % with migraine and 9.6 % with TTH were “rarely” or “never” so (Table 4). Gender differences were notable in the proportions “always” in control, significantly favouring males: for migraine, chi-squared = 43.923, p < 0.0001; for TTH, chi-squared = 4.677, p = 0.0306.Table 4Proportions of participants with headache reporting degrees of control of their headaches, by headache type and genderHeadache typeGenderNIn control of headaches“Always”“Often”“Sometimes”“Rarely”“Never” n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI]MigraineFemale2042228 (11.2) [9.8–12.6]812 (39.8) [37.7–41.9]667 (32.7) [30.7–34.7]214 (10.5) [9.2–11.8]100 (4.9) [4.0–5.8]Male917187 (20.4) [17.8–23.0]344 (37.5) [34.4–40.6]243 (26.5) [23.6–29.4]80 (8.7) [6.9–10.5]56 (6.1) [4.6–7.7]All2959415 (14.0) [12.8–15.3]1156 (39.1) [37.3–40.9]910 (30.8) [29.1–32.5]294 (9.9) [8.8–11.0]157 (5.3) [4.5–6.1]Tension–type headacheFemale1657566 (34.2) [31.9–36.5]608 (36.7) [34.4–39.0]307 (18.5) [16.6–20.4]87 (5.3) [4.2–6.4]54 (3.3) [2.4–4.2]Male1376523 (38.0) [35.4–40.6]470 (34.2) [31.7–36.7]209 (15.2) [13.3–17.1]79 (5.7) [4.5–6.9]71 (5.2) [4.0–6.4]All30331089 (35.9) [34.2–37.6]1078 (35.5) [33.8–37.2]516 (17.0) [15.7–18.3]166 (5.5) [4.7–6.3]125 (4.1) [3.4–4.8] Proportions of participants with headache reporting degrees of control of their headaches, by headache type and gender We enquired into whether the probability of reporting interictal burden would increase with greater reported ictal burden (Table 5), although we did this only among those with migraine because ictal burden generally remains low in TTH. Interictal anxiety increased markedly with headache intensity and frequency, avoidance less so but still significantly. This was not the case with interictal symptoms, where increased odds of reporting were significant only among those with very high attack frequencies (>90 days/year). Those reporting poor control of their headaches had significantly raised odds of interictal anxiety, avoidance and other interictal symptoms. Lost productive time measured by the HALT index, especially lost work time, was associated with quite high odds (OR up to 5.3) of reporting interictal anxiety and avoidance, although, with increasing lost work time beyond the range 12–22 days/3 months, these odds tended to decline. With lost household work, the opposite was the case (Table 5).Table 5Probability of reporting interictal burden according to measures of ictal burden in participants with migraineIctal burden measureProbability of reporting interictal burdenOdds ratio [95 % CI]Interictal anxietyInterictal avoidanceNot free of all symptomsHeadache intensity (reference: “not bad”)“bad”2.8 [1.5–5.4]1.6 [1.1–2.4]1.1 [0.8–1.4]“very bad”7.6 [4.0–14.7]3.0 [2.0–4.6]1.3 [1.0–1.8]Headache frequency (days/year) (reference: ≤12)13–242.4 [1.5–3.7]1.6 [1.1–2.2]1.1 [0.8–1.4]25–482.5 [1.7–3.8]2.0 [1.5–2.8]1.3 [1.0–1.6]49–903.7 [2.5–5.6]2.7 [1.9–3.6]1.3 [1.0–1.6]>906.4 [4.3–9.6]2.5 [1.8–3.6]1.8 [1.3–2.3]In control of headaches (reference: “always”)“often”1.1 [0.7–1.9]1.5 [1.0–2.2]1.1 [1.1–1.9]“sometimes”3.5 [2.1–5.6]2.8 [1.9–4.1]1.9 [1.4–2.5]“rarely” or “never”4.1 [2.5–6.9]2.6 [1.7–3.9]2.5 [1.8–3.4]Lost productive time (HALT index): lost work time (days/3 months) (reference: ≤11)12–225.3 [3.6–7.9]2.9 [1.9–4.3]1.8 [1.2–2.6]23–334.2 [2.0–8.9]2.3 [1.1–5.0]1.8 [0.9–3.7]>334.2 [1.7–10.2]2.7 [1.1–6.6]1.9 [0.8–4.4]lost household time (days/3 months) (reference: ≤11)12–222.4 [1.7–3.6]2.4 [1.7–3.4]1.3 [0.9–1.8]23–333.6 [2.1–6.3]2.3 [1.3–4.0]1.8 [1.1–3.0]>335.3 [2.6–10.7]3.8 [1.9–7.6]1.7 [0.9–3.5]lost work + household time + social events (days/3 months) (reference: ≤22)23–444.1 [2.9–5.7]2.9 [2.1–4.0]1.5 [1.1–2.0]45–664.0 [2.2–7.2]2.8 [1.6–5.0]2.2 [1.3–3.6]>664.4 [2.3–8.3]2.4 [1.3–4.5]1.7 [1.0–3.1] Probability of reporting interictal burden according to measures of ictal burden in participants with migraine We wondered whether our enquiry into interictal anxiety might be influenced by general anxiety. We could test this, because our enquiry included HADS; this enabled us to compare, for prevalence of interictal anxiety, those with HADS-A scores in the normal range (<8), borderline cases (scoring 8–10) and those at or above the threshold score (11) for anxiety caseness [18]. We performed this analysis in those with migraine, in whom we found a clear gradient: 7.9 %, 10.4 % (OR 1.3 [95 % CI: 1.0–1.8]; p = 0.072) and 17.8 % (OR 2.3 [95 % CI: 1.7–3.0]; p < 0.0001) respectively. We also repeated the analysis shown in Table 3 after excluding participants with HADS-A scores ≥11 (n = 1166). All proportions with interictal symptoms were reduced, but most not by much: for example, in males with migraine, interictal anxiety was reduced from 9.9 to 7.0 % (Fisher’s exact: p = 0.0066), avoidance from 14.7 to 14.0 % (p = 0.6783); in females with migraine, interictal anxiety was reduced from 11.0 to 10.0 % (p = 0.3293), avoidance from 14.8 to 14.0 % (p = 0.5073). We did not undertake these analyses in participants with TTH because their level of interictal anxiety was so much lower, or in those with pMOH because of small numbers. Stigma and social isolation A third of respondents (32.9 %) with migraine and a quarter (26.7 %) with TTH were reluctant to tell others of their headaches (Table 6). This difference was significant (chi-squared = 26.744; p < 0.0001). Gender differences were minor. About 10 % with each disorder felt their families and friends did not understand or accept their headaches. Nearly 12 % with migraine who were employed reported their employers and colleagues did not, but those with TTH apparently fared better (6.6 %; chi-squared = 37.962; p < 0.0001).Table 6Proportions of participants with headache responding adversely to questions on social isolation, by headache type and genderHeadache typeGenderNAvoid telling othersFamily, friends don’t understandNEmployer, colleagues don’t understand n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI]MigraineFemale2042691 (33.8) [31.8–35.9]227 (11.1) [9.7–12.5]1723201 (11.7) [10.2–13.2]Male917282 (30.8) [27.8–33.8]76 (8.3) [6.5–10.1]75385 (11.3) [9.0–13.6]All2959973 (32.9) [31.2–34.6]303 (10.2) [9.1–11.3]2476292 (11.8) [10–5–13.1]Tension–type headacheFemale1657429 (25.9) [23.8–28.0]146 (8.8) [7.4–10.2]129874 (5.7) [4.4–7.0]Male1376382 (27.8) [25.4–30.2]142 (10.3) [8.7–11.9]108684 (7.7) [6.1–9.3]All3033811 (26.7) [25.1–28.3]288 (9.5) [8.5–10.5]2384158 (6.6) [5.6–7.6] Proportions of participants with headache responding adversely to questions on social isolation, by headache type and gender A third of respondents (32.9 %) with migraine and a quarter (26.7 %) with TTH were reluctant to tell others of their headaches (Table 6). This difference was significant (chi-squared = 26.744; p < 0.0001). Gender differences were minor. About 10 % with each disorder felt their families and friends did not understand or accept their headaches. Nearly 12 % with migraine who were employed reported their employers and colleagues did not, but those with TTH apparently fared better (6.6 %; chi-squared = 37.962; p < 0.0001).Table 6Proportions of participants with headache responding adversely to questions on social isolation, by headache type and genderHeadache typeGenderNAvoid telling othersFamily, friends don’t understandNEmployer, colleagues don’t understand n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI]MigraineFemale2042691 (33.8) [31.8–35.9]227 (11.1) [9.7–12.5]1723201 (11.7) [10.2–13.2]Male917282 (30.8) [27.8–33.8]76 (8.3) [6.5–10.1]75385 (11.3) [9.0–13.6]All2959973 (32.9) [31.2–34.6]303 (10.2) [9.1–11.3]2476292 (11.8) [10–5–13.1]Tension–type headacheFemale1657429 (25.9) [23.8–28.0]146 (8.8) [7.4–10.2]129874 (5.7) [4.4–7.0]Male1376382 (27.8) [25.4–30.2]142 (10.3) [8.7–11.9]108684 (7.7) [6.1–9.3]All3033811 (26.7) [25.1–28.3]288 (9.5) [8.5–10.5]2384158 (6.6) [5.6–7.6] Proportions of participants with headache responding adversely to questions on social isolation, by headache type and gender Cumulative burden Finally we made enquiries among those with migraine about cumulative burdens. We did not conduct this analysis among those with TTH, which is less recognisably a lifelong condition. Overall, 11.8 % of participants with migraine reported that they had done less well in their education because of their headaches. The proportion was higher (14.1 %) in those aged <40 years. Reduced earnings were reported by 5.9 %, while 7.4 % believed their careers had suffered generally and they had done less well than they might, but for their headaches. A small proportion (2.1 %) had specifically taken easier jobs, and 1.4 % had taken long-term sick leave. Difficulties in love life were reported by 17.6 %, with slightly more (18.8 %) among those under 40 years and a marked gender difference (males 12.8 %, females 19.7 %). About 1 % of respondents reported having fewer children, or had avoided having children altogether, because of their migraine. Very small proportions claimed that migraine had caused marital separation (0.5 %) or divorce (0.2 %). Finally we made enquiries among those with migraine about cumulative burdens. We did not conduct this analysis among those with TTH, which is less recognisably a lifelong condition. Overall, 11.8 % of participants with migraine reported that they had done less well in their education because of their headaches. The proportion was higher (14.1 %) in those aged <40 years. Reduced earnings were reported by 5.9 %, while 7.4 % believed their careers had suffered generally and they had done less well than they might, but for their headaches. A small proportion (2.1 %) had specifically taken easier jobs, and 1.4 % had taken long-term sick leave. Difficulties in love life were reported by 17.6 %, with slightly more (18.8 %) among those under 40 years and a marked gender difference (males 12.8 %, females 19.7 %). About 1 % of respondents reported having fewer children, or had avoided having children altogether, because of their migraine. Very small proportions claimed that migraine had caused marital separation (0.5 %) or divorce (0.2 %).
Conclusions
Interictal burden in those with episodic headache is common, more so in migraine than in TTH, but, importantly, it is not restricted to those with migraine. It shows a relationship with ictal burden. Although we did not assess the magnitude of burden, some elements – in particular those that are cumulative – have the potential to be profoundly consequential. There is a need for new methodology to measure interictal burden if descriptions of headache burden are to be complete.
[ "Statistical analysis", "Ethics", "Demographics and diagnoses", "Interictal anxiety, avoidance and other interictal symptoms", "Stigma and social isolation", "Cumulative burden" ]
[ "Analyses were performed at the Norwegian University of Science and Technology using SPSS version 21 and Microsoft Excel version 14.0.7153.5000. In most cases these were of participants’ responses to the various questions, summarised for all those with headache or by diagnosis (migraine, TTH or pMOH). We described categorical variables as proportions (n [%]) and continuous variables in terms of means and standard deviations (SDs). We assumed interictal burden was present on days without headache; therefore we calculated time spent in interictal state (in days/year) as [365 – (reported headache frequency in days/year)]. We reported this variable in terms of means and standard errors (SEs). We calculated odds ratio (ORs) and 95 % confidence intervals (CIs) to show associations in bivariate analyses. We used chi-squared and Fisher’s exact tests of significance.", "The National Ethics Committee of Luxembourg gave overall approval of the protocol. Further approvals were obtained from national or local ethics committees wherever needed. Similarly, data protection approvals were obtained centrally in Luxembourg and at country levels in compliance with national and European laws.\nIn each country, prospective participants received a written information sheet explaining the project and enquiry, and their purpose.", "In total there were 6455 participants with any headache from the nine countries (male 2444 [37.9 %], mean age 41.9 ± SD = 12.6 years; female 4011 [62.1 %], mean age 40.8 ± 12.1 years). Among these, 2959 were diagnosed with migraine, 3033 with TTH and 249 with pMOH (Table 3).Table 3Proportions of participants with headache reporting interictal burden, by headache type and genderHeadache typeGenderNInterictal anxietyInterictal avoidanceNot free of all symptomsMean time in interictal state\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]days/year (mean ± SE)AllFemale4011344 (8.6) [7.7–9.5]441 (11.0) [10.0–12.0]902 (22.5) [21.2–23.8]316 ± 1Male2444157 (6.4) [5.4–7.4]227 (9.3) [8.1–10.5]575 (23.5) [21.8–25.2]All6455501 (7.8) [7.1–8.5]668 (10.3) [9.6–11.0]1478 (22.9) [21.9–23.9]MigraineFemale2042224 (11.0) [9.6–12.4]302 (14.8) [13.3–16.3]522 (25.6) [23.7–27.5]317 ± 1Male91791 (9.9) [8.0–11.8]135 (14.7) [12.4–17.0]248 (27.0) [24.1–29.9]All2959315 (10.6) [9.5–11.7]437 (14.8) [13.5–16.1]770 (26.0) [24.4–27.6]Tension–type headacheFemale165751 (3.1) [2.3–3.9]70 (4.2) [3.2–5.2]283 (17.1) [15.3–18.9]331 ± 1Male137642 (3.1) [2.2–4.0]72 (5.2) [4.0–6.4]289 (21.0) [18.8–23.2]All303393 (3.1) [2.5–3.7]142 (4.7) [3.9–5.5]572 (18.9) [17.5–20.3]Probable medication–overuse headacheFemale18853 (28.2) [21.8–34.6]58 (30.9) [24.3–37.5]76 (40.4) [33.4–47.4]120 ± 4Male6119 (31.1) [19.5–42.7]15 (24.6) [13.8–35.4]25 (41.0) [28.7–53.3]All24972 (28.9) [23.3–34.5]73 (29.3) [23.6–35.0]101 (40.6) [34.5–46.7]\nProportions of participants with headache reporting interictal burden, by headache type and gender", "Table 3 shows the proportions responding adversely to each of the three questions (see Table 2), for all participants with headache and by diagnosis and gender. It also shows, by diagnosis, the time in days/year spent with interictal burden. With regard to the episodic headaches, about one quarter (26.0 %) of participants with migraine and just under one fifth (18.9 %) with TTH reported interictal symptoms, in each case rather more males than females. Interictal anxiety was reported by about 10 % of those with migraine, avoidance by about 15 %. Both were much more common in migraine than TTH (for interictal anxiety, OR 3.8 [95 % CI: 3.0–4.8]; for avoidance, OR 3.5 [95 % CI: 2.9–4.3]). All proportions were substantially higher in pMOH: we report them in Table 3 for comparative interest, but note that, in any headache occurring on ≥15 days/month, it is not easy to discern what is ictal and what is interictal. For this reason, we present no further analyses of pMOH.\nAbout half (53.1 %) of those with migraine, and nearly three quarters (71.4 %) with TTH, were “always” or “often” in control of their headaches; on the other hand, 15.2 % with migraine and 9.6 % with TTH were “rarely” or “never” so (Table 4). Gender differences were notable in the proportions “always” in control, significantly favouring males: for migraine, chi-squared = 43.923, p < 0.0001; for TTH, chi-squared = 4.677, p = 0.0306.Table 4Proportions of participants with headache reporting degrees of control of their headaches, by headache type and genderHeadache typeGenderNIn control of headaches“Always”“Often”“Sometimes”“Rarely”“Never”\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]MigraineFemale2042228 (11.2) [9.8–12.6]812 (39.8) [37.7–41.9]667 (32.7) [30.7–34.7]214 (10.5) [9.2–11.8]100 (4.9) [4.0–5.8]Male917187 (20.4) [17.8–23.0]344 (37.5) [34.4–40.6]243 (26.5) [23.6–29.4]80 (8.7) [6.9–10.5]56 (6.1) [4.6–7.7]All2959415 (14.0) [12.8–15.3]1156 (39.1) [37.3–40.9]910 (30.8) [29.1–32.5]294 (9.9) [8.8–11.0]157 (5.3) [4.5–6.1]Tension–type headacheFemale1657566 (34.2) [31.9–36.5]608 (36.7) [34.4–39.0]307 (18.5) [16.6–20.4]87 (5.3) [4.2–6.4]54 (3.3) [2.4–4.2]Male1376523 (38.0) [35.4–40.6]470 (34.2) [31.7–36.7]209 (15.2) [13.3–17.1]79 (5.7) [4.5–6.9]71 (5.2) [4.0–6.4]All30331089 (35.9) [34.2–37.6]1078 (35.5) [33.8–37.2]516 (17.0) [15.7–18.3]166 (5.5) [4.7–6.3]125 (4.1) [3.4–4.8]\nProportions of participants with headache reporting degrees of control of their headaches, by headache type and gender\nWe enquired into whether the probability of reporting interictal burden would increase with greater reported ictal burden (Table 5), although we did this only among those with migraine because ictal burden generally remains low in TTH. Interictal anxiety increased markedly with headache intensity and frequency, avoidance less so but still significantly. This was not the case with interictal symptoms, where increased odds of reporting were significant only among those with very high attack frequencies (>90 days/year). Those reporting poor control of their headaches had significantly raised odds of interictal anxiety, avoidance and other interictal symptoms. Lost productive time measured by the HALT index, especially lost work time, was associated with quite high odds (OR up to 5.3) of reporting interictal anxiety and avoidance, although, with increasing lost work time beyond the range 12–22 days/3 months, these odds tended to decline. With lost household work, the opposite was the case (Table 5).Table 5Probability of reporting interictal burden according to measures of ictal burden in participants with migraineIctal burden measureProbability of reporting interictal burdenOdds ratio [95 % CI]Interictal anxietyInterictal avoidanceNot free of all symptomsHeadache intensity (reference: “not bad”)“bad”2.8 [1.5–5.4]1.6 [1.1–2.4]1.1 [0.8–1.4]“very bad”7.6 [4.0–14.7]3.0 [2.0–4.6]1.3 [1.0–1.8]Headache frequency (days/year) (reference: ≤12)13–242.4 [1.5–3.7]1.6 [1.1–2.2]1.1 [0.8–1.4]25–482.5 [1.7–3.8]2.0 [1.5–2.8]1.3 [1.0–1.6]49–903.7 [2.5–5.6]2.7 [1.9–3.6]1.3 [1.0–1.6]>906.4 [4.3–9.6]2.5 [1.8–3.6]1.8 [1.3–2.3]In control of headaches (reference: “always”)“often”1.1 [0.7–1.9]1.5 [1.0–2.2]1.1 [1.1–1.9]“sometimes”3.5 [2.1–5.6]2.8 [1.9–4.1]1.9 [1.4–2.5]“rarely” or “never”4.1 [2.5–6.9]2.6 [1.7–3.9]2.5 [1.8–3.4]Lost productive time (HALT index): lost work time (days/3 months) (reference: ≤11)12–225.3 [3.6–7.9]2.9 [1.9–4.3]1.8 [1.2–2.6]23–334.2 [2.0–8.9]2.3 [1.1–5.0]1.8 [0.9–3.7]>334.2 [1.7–10.2]2.7 [1.1–6.6]1.9 [0.8–4.4]lost household time (days/3 months) (reference: ≤11)12–222.4 [1.7–3.6]2.4 [1.7–3.4]1.3 [0.9–1.8]23–333.6 [2.1–6.3]2.3 [1.3–4.0]1.8 [1.1–3.0]>335.3 [2.6–10.7]3.8 [1.9–7.6]1.7 [0.9–3.5]lost work + household time + social events (days/3 months) (reference: ≤22)23–444.1 [2.9–5.7]2.9 [2.1–4.0]1.5 [1.1–2.0]45–664.0 [2.2–7.2]2.8 [1.6–5.0]2.2 [1.3–3.6]>664.4 [2.3–8.3]2.4 [1.3–4.5]1.7 [1.0–3.1]\nProbability of reporting interictal burden according to measures of ictal burden in participants with migraine\nWe wondered whether our enquiry into interictal anxiety might be influenced by general anxiety. We could test this, because our enquiry included HADS; this enabled us to compare, for prevalence of interictal anxiety, those with HADS-A scores in the normal range (<8), borderline cases (scoring 8–10) and those at or above the threshold score (11) for anxiety caseness [18]. We performed this analysis in those with migraine, in whom we found a clear gradient: 7.9 %, 10.4 % (OR 1.3 [95 % CI: 1.0–1.8]; p = 0.072) and 17.8 % (OR 2.3 [95 % CI: 1.7–3.0]; p < 0.0001) respectively. We also repeated the analysis shown in Table 3 after excluding participants with HADS-A scores ≥11 (n = 1166). All proportions with interictal symptoms were reduced, but most not by much: for example, in males with migraine, interictal anxiety was reduced from 9.9 to 7.0 % (Fisher’s exact: p = 0.0066), avoidance from 14.7 to 14.0 % (p = 0.6783); in females with migraine, interictal anxiety was reduced from 11.0 to 10.0 % (p = 0.3293), avoidance from 14.8 to 14.0 % (p = 0.5073). We did not undertake these analyses in participants with TTH because their level of interictal anxiety was so much lower, or in those with pMOH because of small numbers.", "A third of respondents (32.9 %) with migraine and a quarter (26.7 %) with TTH were reluctant to tell others of their headaches (Table 6). This difference was significant (chi-squared = 26.744; p < 0.0001). Gender differences were minor. About 10 % with each disorder felt their families and friends did not understand or accept their headaches. Nearly 12 % with migraine who were employed reported their employers and colleagues did not, but those with TTH apparently fared better (6.6 %; chi-squared = 37.962; p < 0.0001).Table 6Proportions of participants with headache responding adversely to questions on social isolation, by headache type and genderHeadache typeGenderNAvoid telling othersFamily, friends don’t understandNEmployer, colleagues don’t understand\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]MigraineFemale2042691 (33.8) [31.8–35.9]227 (11.1) [9.7–12.5]1723201 (11.7) [10.2–13.2]Male917282 (30.8) [27.8–33.8]76 (8.3) [6.5–10.1]75385 (11.3) [9.0–13.6]All2959973 (32.9) [31.2–34.6]303 (10.2) [9.1–11.3]2476292 (11.8) [10–5–13.1]Tension–type headacheFemale1657429 (25.9) [23.8–28.0]146 (8.8) [7.4–10.2]129874 (5.7) [4.4–7.0]Male1376382 (27.8) [25.4–30.2]142 (10.3) [8.7–11.9]108684 (7.7) [6.1–9.3]All3033811 (26.7) [25.1–28.3]288 (9.5) [8.5–10.5]2384158 (6.6) [5.6–7.6]\nProportions of participants with headache responding adversely to questions on social isolation, by headache type and gender", "Finally we made enquiries among those with migraine about cumulative burdens. We did not conduct this analysis among those with TTH, which is less recognisably a lifelong condition. Overall, 11.8 % of participants with migraine reported that they had done less well in their education because of their headaches. The proportion was higher (14.1 %) in those aged <40 years. Reduced earnings were reported by 5.9 %, while 7.4 % believed their careers had suffered generally and they had done less well than they might, but for their headaches. A small proportion (2.1 %) had specifically taken easier jobs, and 1.4 % had taken long-term sick leave.\nDifficulties in love life were reported by 17.6 %, with slightly more (18.8 %) among those under 40 years and a marked gender difference (males 12.8 %, females 19.7 %). About 1 % of respondents reported having fewer children, or had avoided having children altogether, because of their migraine. Very small proportions claimed that migraine had caused marital separation (0.5 %) or divorce (0.2 %)." ]
[ null, null, null, null, null, null ]
[ "Background", "Methods", "Statistical analysis", "Ethics", "Results", "Demographics and diagnoses", "Interictal anxiety, avoidance and other interictal symptoms", "Stigma and social isolation", "Cumulative burden", "Discussion", "Conclusions" ]
[ "Headache disorders, especially tension-type headache (TTH) and migraine, are extremely common [1]. From a public-health perspective, and also from the viewpoint of affected people, they are also among the most disabling: migraine is the sixth highest cause in the world of years of healthy life lost to disability (YLDs), and headache disorders collectively are third, according to the Global Burden of Disease Study 2013 (GBD2013) [2, 3]. Various causes of headache occurring on ≥15 days every month affect 2–4 % of the world’s adult population [4]. Among these, medication-overuse headache (MOH) affects 1–2 % [5], and this disorder is itself among the top 20 causes (18th) of YLDs [2, 3]. Nevertheless, most primary headaches are episodic, and most of the disability burden attributed to headache in GBD2013 was based on epidemiological data focused on the episodic subtypes of migraine and TTH. These disorders give rise directly, but intermittently, to symptom burden: pain, often accompanied in the case of migraine by nausea, vomiting and photo- and/or phonophobia. All of these tend to cause debility, prostration and reduced functional ability, a secondary disability burden which is the principal cause of YLDs and consequential lost productivity.\nThis ictal burden is easily conceptualised; but it has long been recognised that people with episodic headache may not be entirely symptom-free between attacks [6, 7]. There are good reasons for this. Since headache attacks are unpleasant, people who experience them wish not to do so. Those in whom they occur frequently are very likely to worry about when the next may happen, and in some this can reach a level of anxiety. More commonly it may provoke avoidance behaviour, particularly among those with migraine who identify triggers and endeavour to eliminate them by lifestyle compromise. Sensible this may be, but too much lifestyle compromise may take the pleasure out of life. An example given by Stovner et al. was this: “Leisure activities may be cancelled or curtailed because of headache; when many have been cancelled, social events are likely not to be planned in the first place. Social life between attacks may simply cease” [7]. These are elements of interictal burden.\nThe health and wellbeing importance of interictal burden lies in its continuity. Whereas the ictal burden of episodic headache is typically present during only one or two days in every month, interictal burden can impose itself on all of the other days. This means two things. First, interictal burden ought not to be ignored: the burden of headache is very poorly described if it does not take interictal burden into account. Second, if interictal burden is overestimated, then multiplied by time, quantification of overall burden is likely to be greatly distorted. GBD2010 described distinct ictal and interictal health states associated with both migraine and TTH, and allocated disability weights (DWs) to each, but the interictal DWs and burden estimates arising from them were not reported [1], probably for this reason.\nIn fact there is little empirical knowledge about interictal burden. Furthermore, while it has been described [6–10], it has no accepted definition. A single Swedish study has made a population-based estimate of prevalence [11], but this described only the proportion of people with migraine (43 %) who recovered completely between attacks. There are no published studies that have estimated magnitude. We may assume that significant relationships exist between interictal burden and the behaviour, performance, productivity, family life and social activities of those affected, but no data exist to confirm these.\nThe Eurolight project, supported by the European Commission Public Health Executive Agency, was a partnership activity within the Global Campaign against Headache. Its main purpose was to gather knowledge of the impact of headache disorders of public-health importance across Europe. Its questionnaire included a number of question sets designed to capture elements of headache-attributed burden, among which were those likely to be experienced interictally. We analysed the Eurolight dataset accordingly, and report our findings here. Our working definition of interictal burden was: “Any loss of health or wellbeing attributable to a headache disorder reportedly experienced while headache-free.” It has multiple components [10]; those addressed by the Eurolight questionnaire included interictal anxiety, avoidance behaviour and non-headache symptoms; perceptions of poor headache control, stigma and social isolation; and the cumulative burdens engendered by disturbed education, lost career opportunities and damaged family life.", "The original Eurolight survey was conducted from November 2008 to August 2009. The full methodology is described elsewhere [12]; below we present brief details. The survey was of cross-sectional design and used modified cluster sampling in 10 countries (Austria, France, Germany, Ireland, Italy, Lithuania, Luxembourg, Netherlands, Spain and United Kingdom) representing >60 % of the adult population (18–65 years) of the European Union. The sampling methods, summarised in Table 1, varied between countries according to what was feasible [12]. Additional samples in Spain and Netherlands, and the only sample in Ireland, were recruited through patients’ organisations [12]. To avoid the inevitable biases inherent in these, they were not included in this analysis.Table 1Summary of data collection methods in each countryCountrySample size (n)MethodsDenominatorRespondersResponders with headacheAustriaup to 6000646454Up to 10 consecutive patients aged 18–65 y visiting any of 400 general practitioners (GPs) and 200 neurologists for any reason on a pre-specified day. Questionnaires to be completed and returned later. One reminder after one month to non-responders.France2400876586Consecutive patients aged 18–65 y attending any of a cooperative of 80 GPs on a pre-specified day. Questionnaires to be completed and returned immediately or later by post. One reminder by email after one week to non-responders.Germany3000338248Random urban (50 %) and rural (50 %) samples aged 18–65 y from general population listings supplied by local municipal authority. Questionnaires distributed and returned by post. No reminders sent.Italy3500500374Random urban (70 %) and rural (30 %) samples drawn from general population using listings supplied by Azienda Sanitaria Locale of Pavia, stratified with regard to gender, age (in range 18–65 y) and education. Questionnaires distributed and returned by post. No reminders sent.Lithuania1137616440Sample drawn from Kaunas city and Kaunas region using Residents’ Register Service, reflecting age (in range 18–65 y) and gender composition of Lithuania and proportions living in rural (33 %) or urban (67 %) areas. Data collection face-to-face, conducted by medical students “cold-calling” door-to-door.Luxembourg649820231473Sample aged 18–65 y, stratified for age, gender, region and nationality, drawn from general population via national social security registry (IGSS). Questionnaires distributed and returned by post. Reminders sent one month later to non-responders.Netherlandsunknown24141993Survey conducted by market research company with access to population sample of 200,000, representative with regard to gender, age (in range 18–65 y), region and education. Questionnaire distributed by internet, to be completed on-line. Study stopped when >2000 received back.Spain1700999797Random sample of employees of companies operating in national postal services in 10 areas of Spain, stratified to be representative of general working population with regard to gender, age (in range 18–65 y) and education. Ten occupational health physicians delivered and took return of questionnaires. One telephone reminder to non-responders.United Kingdom72012890Modified population-based sampling through 12 GP practices in 11 areas (in UK, virtually all residents are registered with local GP). Questionnaire given to consecutive patients aged 18–65 y attending for any reason over a period of time, to be completed and returned immediately, or later by post.\nSummary of data collection methods in each country\nIn all countries, the survey used the same structured questionnaire [13], a derivative of the HARDSHIP questionnaire [10], translated into the local languages following Lifting The Burden’s translation protocol for lay documents [14]. Demographic questions were followed by screening questions for headache and, in those screening positively, by headache-diagnostic questions based on ICHD-II [15]. Participants with more than one headache type were asked to report only on the one they considered most bothersome. Diagnoses were made by computerized algorithm [10]. This first identified, and separated, participants reporting headache on ≥15 days/month (of whom additional questions enquired into medication use), then to the remainder applied ICHD-II criteria for migraine, TTH, probable migraine and probable TTH in that order. Thus a diagnosis of TTH trumped probable migraine [15]. In the analyses, migraine and probable migraine were considered together, as were TTH and probable TTH [7, 16]. Probable MOH (pMOH) was assumed to be the diagnosis when headache frequency was ≥15 days/month, duration was >4 h, the question “Do you usually take medication to treat your headaches” was answered “yes”, and frequency of acute medication use was ≥15 days/month when the medication was simple analgesics only or ≥10 days/month when it was any other (compound analgesics, opioids, triptans and/or ergots). A diagnosis of pMOH trumped all other diagnoses.\nThe questionnaire included several question sets addressing impact, including interictal and cumulative burdens (Table 2). In addition, it imported, as modules, the Headache-Attributed Lost Time (HALT) Index [17], which enabled correlations of interictal with ictal burden, and the Hospital Anxiety and Depression Scale (HADS) [18].Table 2Questions on interictal and cumulative burdens attributable to headacheDomain of enquiryQuestionResponse options (optimum response first)Symptoms in the interictal period (questions specifically about the last day when the respondent did not have a headache)On that day, were you anxious or worried about your next headache episode?no; yesOn that day, was there anything you could not do or did not do because you wanted to avoid getting a headache?no; yesOn that day, did you feel completely free from all headache-related symptoms?yes; noControl of headachesTaking into account everything you do to treat your headaches, do you feel you are in control of your headaches?always; often; sometimes; rarely; neverStigma and social isolationDo you avoid telling people that you have headaches?no; yesDo you feel that your family and friends understand and accept your headaches?yes; noDo you feel that your employer and work colleagues understand and accept your headaches?yes; noCumulative burdensHave your headaches interfered with your education?no;(multiple response options possible)yes, I did less well;yes, I gave up earlyDo you believe your headaches have made you less successful in your career?no;(multiple response options possible)yes, I have done less well;yes, I have taken an easier job;yes, I have taken long-term sick leave;yes, I have retired early;yes, I am on a disability pensionHave your headaches affected your family planning?no;yes, I have had fewer children;yes, I have avoided having childrenDuring the last 3 months, have your headaches caused difficulties in your love life?no; yesHave your headaches caused a relationship to break down?no;yes, they have caused separation;yes, they have caused divorce\nQuestions on interictal and cumulative burdens attributable to headache\n Statistical analysis Analyses were performed at the Norwegian University of Science and Technology using SPSS version 21 and Microsoft Excel version 14.0.7153.5000. In most cases these were of participants’ responses to the various questions, summarised for all those with headache or by diagnosis (migraine, TTH or pMOH). We described categorical variables as proportions (n [%]) and continuous variables in terms of means and standard deviations (SDs). We assumed interictal burden was present on days without headache; therefore we calculated time spent in interictal state (in days/year) as [365 – (reported headache frequency in days/year)]. We reported this variable in terms of means and standard errors (SEs). We calculated odds ratio (ORs) and 95 % confidence intervals (CIs) to show associations in bivariate analyses. We used chi-squared and Fisher’s exact tests of significance.\nAnalyses were performed at the Norwegian University of Science and Technology using SPSS version 21 and Microsoft Excel version 14.0.7153.5000. In most cases these were of participants’ responses to the various questions, summarised for all those with headache or by diagnosis (migraine, TTH or pMOH). We described categorical variables as proportions (n [%]) and continuous variables in terms of means and standard deviations (SDs). We assumed interictal burden was present on days without headache; therefore we calculated time spent in interictal state (in days/year) as [365 – (reported headache frequency in days/year)]. We reported this variable in terms of means and standard errors (SEs). We calculated odds ratio (ORs) and 95 % confidence intervals (CIs) to show associations in bivariate analyses. We used chi-squared and Fisher’s exact tests of significance.\n Ethics The National Ethics Committee of Luxembourg gave overall approval of the protocol. Further approvals were obtained from national or local ethics committees wherever needed. Similarly, data protection approvals were obtained centrally in Luxembourg and at country levels in compliance with national and European laws.\nIn each country, prospective participants received a written information sheet explaining the project and enquiry, and their purpose.\nThe National Ethics Committee of Luxembourg gave overall approval of the protocol. Further approvals were obtained from national or local ethics committees wherever needed. Similarly, data protection approvals were obtained centrally in Luxembourg and at country levels in compliance with national and European laws.\nIn each country, prospective participants received a written information sheet explaining the project and enquiry, and their purpose.", "Analyses were performed at the Norwegian University of Science and Technology using SPSS version 21 and Microsoft Excel version 14.0.7153.5000. In most cases these were of participants’ responses to the various questions, summarised for all those with headache or by diagnosis (migraine, TTH or pMOH). We described categorical variables as proportions (n [%]) and continuous variables in terms of means and standard deviations (SDs). We assumed interictal burden was present on days without headache; therefore we calculated time spent in interictal state (in days/year) as [365 – (reported headache frequency in days/year)]. We reported this variable in terms of means and standard errors (SEs). We calculated odds ratio (ORs) and 95 % confidence intervals (CIs) to show associations in bivariate analyses. We used chi-squared and Fisher’s exact tests of significance.", "The National Ethics Committee of Luxembourg gave overall approval of the protocol. Further approvals were obtained from national or local ethics committees wherever needed. Similarly, data protection approvals were obtained centrally in Luxembourg and at country levels in compliance with national and European laws.\nIn each country, prospective participants received a written information sheet explaining the project and enquiry, and their purpose.", " Demographics and diagnoses In total there were 6455 participants with any headache from the nine countries (male 2444 [37.9 %], mean age 41.9 ± SD = 12.6 years; female 4011 [62.1 %], mean age 40.8 ± 12.1 years). Among these, 2959 were diagnosed with migraine, 3033 with TTH and 249 with pMOH (Table 3).Table 3Proportions of participants with headache reporting interictal burden, by headache type and genderHeadache typeGenderNInterictal anxietyInterictal avoidanceNot free of all symptomsMean time in interictal state\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]days/year (mean ± SE)AllFemale4011344 (8.6) [7.7–9.5]441 (11.0) [10.0–12.0]902 (22.5) [21.2–23.8]316 ± 1Male2444157 (6.4) [5.4–7.4]227 (9.3) [8.1–10.5]575 (23.5) [21.8–25.2]All6455501 (7.8) [7.1–8.5]668 (10.3) [9.6–11.0]1478 (22.9) [21.9–23.9]MigraineFemale2042224 (11.0) [9.6–12.4]302 (14.8) [13.3–16.3]522 (25.6) [23.7–27.5]317 ± 1Male91791 (9.9) [8.0–11.8]135 (14.7) [12.4–17.0]248 (27.0) [24.1–29.9]All2959315 (10.6) [9.5–11.7]437 (14.8) [13.5–16.1]770 (26.0) [24.4–27.6]Tension–type headacheFemale165751 (3.1) [2.3–3.9]70 (4.2) [3.2–5.2]283 (17.1) [15.3–18.9]331 ± 1Male137642 (3.1) [2.2–4.0]72 (5.2) [4.0–6.4]289 (21.0) [18.8–23.2]All303393 (3.1) [2.5–3.7]142 (4.7) [3.9–5.5]572 (18.9) [17.5–20.3]Probable medication–overuse headacheFemale18853 (28.2) [21.8–34.6]58 (30.9) [24.3–37.5]76 (40.4) [33.4–47.4]120 ± 4Male6119 (31.1) [19.5–42.7]15 (24.6) [13.8–35.4]25 (41.0) [28.7–53.3]All24972 (28.9) [23.3–34.5]73 (29.3) [23.6–35.0]101 (40.6) [34.5–46.7]\nProportions of participants with headache reporting interictal burden, by headache type and gender\nIn total there were 6455 participants with any headache from the nine countries (male 2444 [37.9 %], mean age 41.9 ± SD = 12.6 years; female 4011 [62.1 %], mean age 40.8 ± 12.1 years). Among these, 2959 were diagnosed with migraine, 3033 with TTH and 249 with pMOH (Table 3).Table 3Proportions of participants with headache reporting interictal burden, by headache type and genderHeadache typeGenderNInterictal anxietyInterictal avoidanceNot free of all symptomsMean time in interictal state\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]days/year (mean ± SE)AllFemale4011344 (8.6) [7.7–9.5]441 (11.0) [10.0–12.0]902 (22.5) [21.2–23.8]316 ± 1Male2444157 (6.4) [5.4–7.4]227 (9.3) [8.1–10.5]575 (23.5) [21.8–25.2]All6455501 (7.8) [7.1–8.5]668 (10.3) [9.6–11.0]1478 (22.9) [21.9–23.9]MigraineFemale2042224 (11.0) [9.6–12.4]302 (14.8) [13.3–16.3]522 (25.6) [23.7–27.5]317 ± 1Male91791 (9.9) [8.0–11.8]135 (14.7) [12.4–17.0]248 (27.0) [24.1–29.9]All2959315 (10.6) [9.5–11.7]437 (14.8) [13.5–16.1]770 (26.0) [24.4–27.6]Tension–type headacheFemale165751 (3.1) [2.3–3.9]70 (4.2) [3.2–5.2]283 (17.1) [15.3–18.9]331 ± 1Male137642 (3.1) [2.2–4.0]72 (5.2) [4.0–6.4]289 (21.0) [18.8–23.2]All303393 (3.1) [2.5–3.7]142 (4.7) [3.9–5.5]572 (18.9) [17.5–20.3]Probable medication–overuse headacheFemale18853 (28.2) [21.8–34.6]58 (30.9) [24.3–37.5]76 (40.4) [33.4–47.4]120 ± 4Male6119 (31.1) [19.5–42.7]15 (24.6) [13.8–35.4]25 (41.0) [28.7–53.3]All24972 (28.9) [23.3–34.5]73 (29.3) [23.6–35.0]101 (40.6) [34.5–46.7]\nProportions of participants with headache reporting interictal burden, by headache type and gender\n Interictal anxiety, avoidance and other interictal symptoms Table 3 shows the proportions responding adversely to each of the three questions (see Table 2), for all participants with headache and by diagnosis and gender. It also shows, by diagnosis, the time in days/year spent with interictal burden. With regard to the episodic headaches, about one quarter (26.0 %) of participants with migraine and just under one fifth (18.9 %) with TTH reported interictal symptoms, in each case rather more males than females. Interictal anxiety was reported by about 10 % of those with migraine, avoidance by about 15 %. Both were much more common in migraine than TTH (for interictal anxiety, OR 3.8 [95 % CI: 3.0–4.8]; for avoidance, OR 3.5 [95 % CI: 2.9–4.3]). All proportions were substantially higher in pMOH: we report them in Table 3 for comparative interest, but note that, in any headache occurring on ≥15 days/month, it is not easy to discern what is ictal and what is interictal. For this reason, we present no further analyses of pMOH.\nAbout half (53.1 %) of those with migraine, and nearly three quarters (71.4 %) with TTH, were “always” or “often” in control of their headaches; on the other hand, 15.2 % with migraine and 9.6 % with TTH were “rarely” or “never” so (Table 4). Gender differences were notable in the proportions “always” in control, significantly favouring males: for migraine, chi-squared = 43.923, p < 0.0001; for TTH, chi-squared = 4.677, p = 0.0306.Table 4Proportions of participants with headache reporting degrees of control of their headaches, by headache type and genderHeadache typeGenderNIn control of headaches“Always”“Often”“Sometimes”“Rarely”“Never”\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]MigraineFemale2042228 (11.2) [9.8–12.6]812 (39.8) [37.7–41.9]667 (32.7) [30.7–34.7]214 (10.5) [9.2–11.8]100 (4.9) [4.0–5.8]Male917187 (20.4) [17.8–23.0]344 (37.5) [34.4–40.6]243 (26.5) [23.6–29.4]80 (8.7) [6.9–10.5]56 (6.1) [4.6–7.7]All2959415 (14.0) [12.8–15.3]1156 (39.1) [37.3–40.9]910 (30.8) [29.1–32.5]294 (9.9) [8.8–11.0]157 (5.3) [4.5–6.1]Tension–type headacheFemale1657566 (34.2) [31.9–36.5]608 (36.7) [34.4–39.0]307 (18.5) [16.6–20.4]87 (5.3) [4.2–6.4]54 (3.3) [2.4–4.2]Male1376523 (38.0) [35.4–40.6]470 (34.2) [31.7–36.7]209 (15.2) [13.3–17.1]79 (5.7) [4.5–6.9]71 (5.2) [4.0–6.4]All30331089 (35.9) [34.2–37.6]1078 (35.5) [33.8–37.2]516 (17.0) [15.7–18.3]166 (5.5) [4.7–6.3]125 (4.1) [3.4–4.8]\nProportions of participants with headache reporting degrees of control of their headaches, by headache type and gender\nWe enquired into whether the probability of reporting interictal burden would increase with greater reported ictal burden (Table 5), although we did this only among those with migraine because ictal burden generally remains low in TTH. Interictal anxiety increased markedly with headache intensity and frequency, avoidance less so but still significantly. This was not the case with interictal symptoms, where increased odds of reporting were significant only among those with very high attack frequencies (>90 days/year). Those reporting poor control of their headaches had significantly raised odds of interictal anxiety, avoidance and other interictal symptoms. Lost productive time measured by the HALT index, especially lost work time, was associated with quite high odds (OR up to 5.3) of reporting interictal anxiety and avoidance, although, with increasing lost work time beyond the range 12–22 days/3 months, these odds tended to decline. With lost household work, the opposite was the case (Table 5).Table 5Probability of reporting interictal burden according to measures of ictal burden in participants with migraineIctal burden measureProbability of reporting interictal burdenOdds ratio [95 % CI]Interictal anxietyInterictal avoidanceNot free of all symptomsHeadache intensity (reference: “not bad”)“bad”2.8 [1.5–5.4]1.6 [1.1–2.4]1.1 [0.8–1.4]“very bad”7.6 [4.0–14.7]3.0 [2.0–4.6]1.3 [1.0–1.8]Headache frequency (days/year) (reference: ≤12)13–242.4 [1.5–3.7]1.6 [1.1–2.2]1.1 [0.8–1.4]25–482.5 [1.7–3.8]2.0 [1.5–2.8]1.3 [1.0–1.6]49–903.7 [2.5–5.6]2.7 [1.9–3.6]1.3 [1.0–1.6]>906.4 [4.3–9.6]2.5 [1.8–3.6]1.8 [1.3–2.3]In control of headaches (reference: “always”)“often”1.1 [0.7–1.9]1.5 [1.0–2.2]1.1 [1.1–1.9]“sometimes”3.5 [2.1–5.6]2.8 [1.9–4.1]1.9 [1.4–2.5]“rarely” or “never”4.1 [2.5–6.9]2.6 [1.7–3.9]2.5 [1.8–3.4]Lost productive time (HALT index): lost work time (days/3 months) (reference: ≤11)12–225.3 [3.6–7.9]2.9 [1.9–4.3]1.8 [1.2–2.6]23–334.2 [2.0–8.9]2.3 [1.1–5.0]1.8 [0.9–3.7]>334.2 [1.7–10.2]2.7 [1.1–6.6]1.9 [0.8–4.4]lost household time (days/3 months) (reference: ≤11)12–222.4 [1.7–3.6]2.4 [1.7–3.4]1.3 [0.9–1.8]23–333.6 [2.1–6.3]2.3 [1.3–4.0]1.8 [1.1–3.0]>335.3 [2.6–10.7]3.8 [1.9–7.6]1.7 [0.9–3.5]lost work + household time + social events (days/3 months) (reference: ≤22)23–444.1 [2.9–5.7]2.9 [2.1–4.0]1.5 [1.1–2.0]45–664.0 [2.2–7.2]2.8 [1.6–5.0]2.2 [1.3–3.6]>664.4 [2.3–8.3]2.4 [1.3–4.5]1.7 [1.0–3.1]\nProbability of reporting interictal burden according to measures of ictal burden in participants with migraine\nWe wondered whether our enquiry into interictal anxiety might be influenced by general anxiety. We could test this, because our enquiry included HADS; this enabled us to compare, for prevalence of interictal anxiety, those with HADS-A scores in the normal range (<8), borderline cases (scoring 8–10) and those at or above the threshold score (11) for anxiety caseness [18]. We performed this analysis in those with migraine, in whom we found a clear gradient: 7.9 %, 10.4 % (OR 1.3 [95 % CI: 1.0–1.8]; p = 0.072) and 17.8 % (OR 2.3 [95 % CI: 1.7–3.0]; p < 0.0001) respectively. We also repeated the analysis shown in Table 3 after excluding participants with HADS-A scores ≥11 (n = 1166). All proportions with interictal symptoms were reduced, but most not by much: for example, in males with migraine, interictal anxiety was reduced from 9.9 to 7.0 % (Fisher’s exact: p = 0.0066), avoidance from 14.7 to 14.0 % (p = 0.6783); in females with migraine, interictal anxiety was reduced from 11.0 to 10.0 % (p = 0.3293), avoidance from 14.8 to 14.0 % (p = 0.5073). We did not undertake these analyses in participants with TTH because their level of interictal anxiety was so much lower, or in those with pMOH because of small numbers.\nTable 3 shows the proportions responding adversely to each of the three questions (see Table 2), for all participants with headache and by diagnosis and gender. It also shows, by diagnosis, the time in days/year spent with interictal burden. With regard to the episodic headaches, about one quarter (26.0 %) of participants with migraine and just under one fifth (18.9 %) with TTH reported interictal symptoms, in each case rather more males than females. Interictal anxiety was reported by about 10 % of those with migraine, avoidance by about 15 %. Both were much more common in migraine than TTH (for interictal anxiety, OR 3.8 [95 % CI: 3.0–4.8]; for avoidance, OR 3.5 [95 % CI: 2.9–4.3]). All proportions were substantially higher in pMOH: we report them in Table 3 for comparative interest, but note that, in any headache occurring on ≥15 days/month, it is not easy to discern what is ictal and what is interictal. For this reason, we present no further analyses of pMOH.\nAbout half (53.1 %) of those with migraine, and nearly three quarters (71.4 %) with TTH, were “always” or “often” in control of their headaches; on the other hand, 15.2 % with migraine and 9.6 % with TTH were “rarely” or “never” so (Table 4). Gender differences were notable in the proportions “always” in control, significantly favouring males: for migraine, chi-squared = 43.923, p < 0.0001; for TTH, chi-squared = 4.677, p = 0.0306.Table 4Proportions of participants with headache reporting degrees of control of their headaches, by headache type and genderHeadache typeGenderNIn control of headaches“Always”“Often”“Sometimes”“Rarely”“Never”\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]MigraineFemale2042228 (11.2) [9.8–12.6]812 (39.8) [37.7–41.9]667 (32.7) [30.7–34.7]214 (10.5) [9.2–11.8]100 (4.9) [4.0–5.8]Male917187 (20.4) [17.8–23.0]344 (37.5) [34.4–40.6]243 (26.5) [23.6–29.4]80 (8.7) [6.9–10.5]56 (6.1) [4.6–7.7]All2959415 (14.0) [12.8–15.3]1156 (39.1) [37.3–40.9]910 (30.8) [29.1–32.5]294 (9.9) [8.8–11.0]157 (5.3) [4.5–6.1]Tension–type headacheFemale1657566 (34.2) [31.9–36.5]608 (36.7) [34.4–39.0]307 (18.5) [16.6–20.4]87 (5.3) [4.2–6.4]54 (3.3) [2.4–4.2]Male1376523 (38.0) [35.4–40.6]470 (34.2) [31.7–36.7]209 (15.2) [13.3–17.1]79 (5.7) [4.5–6.9]71 (5.2) [4.0–6.4]All30331089 (35.9) [34.2–37.6]1078 (35.5) [33.8–37.2]516 (17.0) [15.7–18.3]166 (5.5) [4.7–6.3]125 (4.1) [3.4–4.8]\nProportions of participants with headache reporting degrees of control of their headaches, by headache type and gender\nWe enquired into whether the probability of reporting interictal burden would increase with greater reported ictal burden (Table 5), although we did this only among those with migraine because ictal burden generally remains low in TTH. Interictal anxiety increased markedly with headache intensity and frequency, avoidance less so but still significantly. This was not the case with interictal symptoms, where increased odds of reporting were significant only among those with very high attack frequencies (>90 days/year). Those reporting poor control of their headaches had significantly raised odds of interictal anxiety, avoidance and other interictal symptoms. Lost productive time measured by the HALT index, especially lost work time, was associated with quite high odds (OR up to 5.3) of reporting interictal anxiety and avoidance, although, with increasing lost work time beyond the range 12–22 days/3 months, these odds tended to decline. With lost household work, the opposite was the case (Table 5).Table 5Probability of reporting interictal burden according to measures of ictal burden in participants with migraineIctal burden measureProbability of reporting interictal burdenOdds ratio [95 % CI]Interictal anxietyInterictal avoidanceNot free of all symptomsHeadache intensity (reference: “not bad”)“bad”2.8 [1.5–5.4]1.6 [1.1–2.4]1.1 [0.8–1.4]“very bad”7.6 [4.0–14.7]3.0 [2.0–4.6]1.3 [1.0–1.8]Headache frequency (days/year) (reference: ≤12)13–242.4 [1.5–3.7]1.6 [1.1–2.2]1.1 [0.8–1.4]25–482.5 [1.7–3.8]2.0 [1.5–2.8]1.3 [1.0–1.6]49–903.7 [2.5–5.6]2.7 [1.9–3.6]1.3 [1.0–1.6]>906.4 [4.3–9.6]2.5 [1.8–3.6]1.8 [1.3–2.3]In control of headaches (reference: “always”)“often”1.1 [0.7–1.9]1.5 [1.0–2.2]1.1 [1.1–1.9]“sometimes”3.5 [2.1–5.6]2.8 [1.9–4.1]1.9 [1.4–2.5]“rarely” or “never”4.1 [2.5–6.9]2.6 [1.7–3.9]2.5 [1.8–3.4]Lost productive time (HALT index): lost work time (days/3 months) (reference: ≤11)12–225.3 [3.6–7.9]2.9 [1.9–4.3]1.8 [1.2–2.6]23–334.2 [2.0–8.9]2.3 [1.1–5.0]1.8 [0.9–3.7]>334.2 [1.7–10.2]2.7 [1.1–6.6]1.9 [0.8–4.4]lost household time (days/3 months) (reference: ≤11)12–222.4 [1.7–3.6]2.4 [1.7–3.4]1.3 [0.9–1.8]23–333.6 [2.1–6.3]2.3 [1.3–4.0]1.8 [1.1–3.0]>335.3 [2.6–10.7]3.8 [1.9–7.6]1.7 [0.9–3.5]lost work + household time + social events (days/3 months) (reference: ≤22)23–444.1 [2.9–5.7]2.9 [2.1–4.0]1.5 [1.1–2.0]45–664.0 [2.2–7.2]2.8 [1.6–5.0]2.2 [1.3–3.6]>664.4 [2.3–8.3]2.4 [1.3–4.5]1.7 [1.0–3.1]\nProbability of reporting interictal burden according to measures of ictal burden in participants with migraine\nWe wondered whether our enquiry into interictal anxiety might be influenced by general anxiety. We could test this, because our enquiry included HADS; this enabled us to compare, for prevalence of interictal anxiety, those with HADS-A scores in the normal range (<8), borderline cases (scoring 8–10) and those at or above the threshold score (11) for anxiety caseness [18]. We performed this analysis in those with migraine, in whom we found a clear gradient: 7.9 %, 10.4 % (OR 1.3 [95 % CI: 1.0–1.8]; p = 0.072) and 17.8 % (OR 2.3 [95 % CI: 1.7–3.0]; p < 0.0001) respectively. We also repeated the analysis shown in Table 3 after excluding participants with HADS-A scores ≥11 (n = 1166). All proportions with interictal symptoms were reduced, but most not by much: for example, in males with migraine, interictal anxiety was reduced from 9.9 to 7.0 % (Fisher’s exact: p = 0.0066), avoidance from 14.7 to 14.0 % (p = 0.6783); in females with migraine, interictal anxiety was reduced from 11.0 to 10.0 % (p = 0.3293), avoidance from 14.8 to 14.0 % (p = 0.5073). We did not undertake these analyses in participants with TTH because their level of interictal anxiety was so much lower, or in those with pMOH because of small numbers.\n Stigma and social isolation A third of respondents (32.9 %) with migraine and a quarter (26.7 %) with TTH were reluctant to tell others of their headaches (Table 6). This difference was significant (chi-squared = 26.744; p < 0.0001). Gender differences were minor. About 10 % with each disorder felt their families and friends did not understand or accept their headaches. Nearly 12 % with migraine who were employed reported their employers and colleagues did not, but those with TTH apparently fared better (6.6 %; chi-squared = 37.962; p < 0.0001).Table 6Proportions of participants with headache responding adversely to questions on social isolation, by headache type and genderHeadache typeGenderNAvoid telling othersFamily, friends don’t understandNEmployer, colleagues don’t understand\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]MigraineFemale2042691 (33.8) [31.8–35.9]227 (11.1) [9.7–12.5]1723201 (11.7) [10.2–13.2]Male917282 (30.8) [27.8–33.8]76 (8.3) [6.5–10.1]75385 (11.3) [9.0–13.6]All2959973 (32.9) [31.2–34.6]303 (10.2) [9.1–11.3]2476292 (11.8) [10–5–13.1]Tension–type headacheFemale1657429 (25.9) [23.8–28.0]146 (8.8) [7.4–10.2]129874 (5.7) [4.4–7.0]Male1376382 (27.8) [25.4–30.2]142 (10.3) [8.7–11.9]108684 (7.7) [6.1–9.3]All3033811 (26.7) [25.1–28.3]288 (9.5) [8.5–10.5]2384158 (6.6) [5.6–7.6]\nProportions of participants with headache responding adversely to questions on social isolation, by headache type and gender\nA third of respondents (32.9 %) with migraine and a quarter (26.7 %) with TTH were reluctant to tell others of their headaches (Table 6). This difference was significant (chi-squared = 26.744; p < 0.0001). Gender differences were minor. About 10 % with each disorder felt their families and friends did not understand or accept their headaches. Nearly 12 % with migraine who were employed reported their employers and colleagues did not, but those with TTH apparently fared better (6.6 %; chi-squared = 37.962; p < 0.0001).Table 6Proportions of participants with headache responding adversely to questions on social isolation, by headache type and genderHeadache typeGenderNAvoid telling othersFamily, friends don’t understandNEmployer, colleagues don’t understand\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]MigraineFemale2042691 (33.8) [31.8–35.9]227 (11.1) [9.7–12.5]1723201 (11.7) [10.2–13.2]Male917282 (30.8) [27.8–33.8]76 (8.3) [6.5–10.1]75385 (11.3) [9.0–13.6]All2959973 (32.9) [31.2–34.6]303 (10.2) [9.1–11.3]2476292 (11.8) [10–5–13.1]Tension–type headacheFemale1657429 (25.9) [23.8–28.0]146 (8.8) [7.4–10.2]129874 (5.7) [4.4–7.0]Male1376382 (27.8) [25.4–30.2]142 (10.3) [8.7–11.9]108684 (7.7) [6.1–9.3]All3033811 (26.7) [25.1–28.3]288 (9.5) [8.5–10.5]2384158 (6.6) [5.6–7.6]\nProportions of participants with headache responding adversely to questions on social isolation, by headache type and gender\n Cumulative burden Finally we made enquiries among those with migraine about cumulative burdens. We did not conduct this analysis among those with TTH, which is less recognisably a lifelong condition. Overall, 11.8 % of participants with migraine reported that they had done less well in their education because of their headaches. The proportion was higher (14.1 %) in those aged <40 years. Reduced earnings were reported by 5.9 %, while 7.4 % believed their careers had suffered generally and they had done less well than they might, but for their headaches. A small proportion (2.1 %) had specifically taken easier jobs, and 1.4 % had taken long-term sick leave.\nDifficulties in love life were reported by 17.6 %, with slightly more (18.8 %) among those under 40 years and a marked gender difference (males 12.8 %, females 19.7 %). About 1 % of respondents reported having fewer children, or had avoided having children altogether, because of their migraine. Very small proportions claimed that migraine had caused marital separation (0.5 %) or divorce (0.2 %).\nFinally we made enquiries among those with migraine about cumulative burdens. We did not conduct this analysis among those with TTH, which is less recognisably a lifelong condition. Overall, 11.8 % of participants with migraine reported that they had done less well in their education because of their headaches. The proportion was higher (14.1 %) in those aged <40 years. Reduced earnings were reported by 5.9 %, while 7.4 % believed their careers had suffered generally and they had done less well than they might, but for their headaches. A small proportion (2.1 %) had specifically taken easier jobs, and 1.4 % had taken long-term sick leave.\nDifficulties in love life were reported by 17.6 %, with slightly more (18.8 %) among those under 40 years and a marked gender difference (males 12.8 %, females 19.7 %). About 1 % of respondents reported having fewer children, or had avoided having children altogether, because of their migraine. Very small proportions claimed that migraine had caused marital separation (0.5 %) or divorce (0.2 %).", "In total there were 6455 participants with any headache from the nine countries (male 2444 [37.9 %], mean age 41.9 ± SD = 12.6 years; female 4011 [62.1 %], mean age 40.8 ± 12.1 years). Among these, 2959 were diagnosed with migraine, 3033 with TTH and 249 with pMOH (Table 3).Table 3Proportions of participants with headache reporting interictal burden, by headache type and genderHeadache typeGenderNInterictal anxietyInterictal avoidanceNot free of all symptomsMean time in interictal state\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]days/year (mean ± SE)AllFemale4011344 (8.6) [7.7–9.5]441 (11.0) [10.0–12.0]902 (22.5) [21.2–23.8]316 ± 1Male2444157 (6.4) [5.4–7.4]227 (9.3) [8.1–10.5]575 (23.5) [21.8–25.2]All6455501 (7.8) [7.1–8.5]668 (10.3) [9.6–11.0]1478 (22.9) [21.9–23.9]MigraineFemale2042224 (11.0) [9.6–12.4]302 (14.8) [13.3–16.3]522 (25.6) [23.7–27.5]317 ± 1Male91791 (9.9) [8.0–11.8]135 (14.7) [12.4–17.0]248 (27.0) [24.1–29.9]All2959315 (10.6) [9.5–11.7]437 (14.8) [13.5–16.1]770 (26.0) [24.4–27.6]Tension–type headacheFemale165751 (3.1) [2.3–3.9]70 (4.2) [3.2–5.2]283 (17.1) [15.3–18.9]331 ± 1Male137642 (3.1) [2.2–4.0]72 (5.2) [4.0–6.4]289 (21.0) [18.8–23.2]All303393 (3.1) [2.5–3.7]142 (4.7) [3.9–5.5]572 (18.9) [17.5–20.3]Probable medication–overuse headacheFemale18853 (28.2) [21.8–34.6]58 (30.9) [24.3–37.5]76 (40.4) [33.4–47.4]120 ± 4Male6119 (31.1) [19.5–42.7]15 (24.6) [13.8–35.4]25 (41.0) [28.7–53.3]All24972 (28.9) [23.3–34.5]73 (29.3) [23.6–35.0]101 (40.6) [34.5–46.7]\nProportions of participants with headache reporting interictal burden, by headache type and gender", "Table 3 shows the proportions responding adversely to each of the three questions (see Table 2), for all participants with headache and by diagnosis and gender. It also shows, by diagnosis, the time in days/year spent with interictal burden. With regard to the episodic headaches, about one quarter (26.0 %) of participants with migraine and just under one fifth (18.9 %) with TTH reported interictal symptoms, in each case rather more males than females. Interictal anxiety was reported by about 10 % of those with migraine, avoidance by about 15 %. Both were much more common in migraine than TTH (for interictal anxiety, OR 3.8 [95 % CI: 3.0–4.8]; for avoidance, OR 3.5 [95 % CI: 2.9–4.3]). All proportions were substantially higher in pMOH: we report them in Table 3 for comparative interest, but note that, in any headache occurring on ≥15 days/month, it is not easy to discern what is ictal and what is interictal. For this reason, we present no further analyses of pMOH.\nAbout half (53.1 %) of those with migraine, and nearly three quarters (71.4 %) with TTH, were “always” or “often” in control of their headaches; on the other hand, 15.2 % with migraine and 9.6 % with TTH were “rarely” or “never” so (Table 4). Gender differences were notable in the proportions “always” in control, significantly favouring males: for migraine, chi-squared = 43.923, p < 0.0001; for TTH, chi-squared = 4.677, p = 0.0306.Table 4Proportions of participants with headache reporting degrees of control of their headaches, by headache type and genderHeadache typeGenderNIn control of headaches“Always”“Often”“Sometimes”“Rarely”“Never”\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]MigraineFemale2042228 (11.2) [9.8–12.6]812 (39.8) [37.7–41.9]667 (32.7) [30.7–34.7]214 (10.5) [9.2–11.8]100 (4.9) [4.0–5.8]Male917187 (20.4) [17.8–23.0]344 (37.5) [34.4–40.6]243 (26.5) [23.6–29.4]80 (8.7) [6.9–10.5]56 (6.1) [4.6–7.7]All2959415 (14.0) [12.8–15.3]1156 (39.1) [37.3–40.9]910 (30.8) [29.1–32.5]294 (9.9) [8.8–11.0]157 (5.3) [4.5–6.1]Tension–type headacheFemale1657566 (34.2) [31.9–36.5]608 (36.7) [34.4–39.0]307 (18.5) [16.6–20.4]87 (5.3) [4.2–6.4]54 (3.3) [2.4–4.2]Male1376523 (38.0) [35.4–40.6]470 (34.2) [31.7–36.7]209 (15.2) [13.3–17.1]79 (5.7) [4.5–6.9]71 (5.2) [4.0–6.4]All30331089 (35.9) [34.2–37.6]1078 (35.5) [33.8–37.2]516 (17.0) [15.7–18.3]166 (5.5) [4.7–6.3]125 (4.1) [3.4–4.8]\nProportions of participants with headache reporting degrees of control of their headaches, by headache type and gender\nWe enquired into whether the probability of reporting interictal burden would increase with greater reported ictal burden (Table 5), although we did this only among those with migraine because ictal burden generally remains low in TTH. Interictal anxiety increased markedly with headache intensity and frequency, avoidance less so but still significantly. This was not the case with interictal symptoms, where increased odds of reporting were significant only among those with very high attack frequencies (>90 days/year). Those reporting poor control of their headaches had significantly raised odds of interictal anxiety, avoidance and other interictal symptoms. Lost productive time measured by the HALT index, especially lost work time, was associated with quite high odds (OR up to 5.3) of reporting interictal anxiety and avoidance, although, with increasing lost work time beyond the range 12–22 days/3 months, these odds tended to decline. With lost household work, the opposite was the case (Table 5).Table 5Probability of reporting interictal burden according to measures of ictal burden in participants with migraineIctal burden measureProbability of reporting interictal burdenOdds ratio [95 % CI]Interictal anxietyInterictal avoidanceNot free of all symptomsHeadache intensity (reference: “not bad”)“bad”2.8 [1.5–5.4]1.6 [1.1–2.4]1.1 [0.8–1.4]“very bad”7.6 [4.0–14.7]3.0 [2.0–4.6]1.3 [1.0–1.8]Headache frequency (days/year) (reference: ≤12)13–242.4 [1.5–3.7]1.6 [1.1–2.2]1.1 [0.8–1.4]25–482.5 [1.7–3.8]2.0 [1.5–2.8]1.3 [1.0–1.6]49–903.7 [2.5–5.6]2.7 [1.9–3.6]1.3 [1.0–1.6]>906.4 [4.3–9.6]2.5 [1.8–3.6]1.8 [1.3–2.3]In control of headaches (reference: “always”)“often”1.1 [0.7–1.9]1.5 [1.0–2.2]1.1 [1.1–1.9]“sometimes”3.5 [2.1–5.6]2.8 [1.9–4.1]1.9 [1.4–2.5]“rarely” or “never”4.1 [2.5–6.9]2.6 [1.7–3.9]2.5 [1.8–3.4]Lost productive time (HALT index): lost work time (days/3 months) (reference: ≤11)12–225.3 [3.6–7.9]2.9 [1.9–4.3]1.8 [1.2–2.6]23–334.2 [2.0–8.9]2.3 [1.1–5.0]1.8 [0.9–3.7]>334.2 [1.7–10.2]2.7 [1.1–6.6]1.9 [0.8–4.4]lost household time (days/3 months) (reference: ≤11)12–222.4 [1.7–3.6]2.4 [1.7–3.4]1.3 [0.9–1.8]23–333.6 [2.1–6.3]2.3 [1.3–4.0]1.8 [1.1–3.0]>335.3 [2.6–10.7]3.8 [1.9–7.6]1.7 [0.9–3.5]lost work + household time + social events (days/3 months) (reference: ≤22)23–444.1 [2.9–5.7]2.9 [2.1–4.0]1.5 [1.1–2.0]45–664.0 [2.2–7.2]2.8 [1.6–5.0]2.2 [1.3–3.6]>664.4 [2.3–8.3]2.4 [1.3–4.5]1.7 [1.0–3.1]\nProbability of reporting interictal burden according to measures of ictal burden in participants with migraine\nWe wondered whether our enquiry into interictal anxiety might be influenced by general anxiety. We could test this, because our enquiry included HADS; this enabled us to compare, for prevalence of interictal anxiety, those with HADS-A scores in the normal range (<8), borderline cases (scoring 8–10) and those at or above the threshold score (11) for anxiety caseness [18]. We performed this analysis in those with migraine, in whom we found a clear gradient: 7.9 %, 10.4 % (OR 1.3 [95 % CI: 1.0–1.8]; p = 0.072) and 17.8 % (OR 2.3 [95 % CI: 1.7–3.0]; p < 0.0001) respectively. We also repeated the analysis shown in Table 3 after excluding participants with HADS-A scores ≥11 (n = 1166). All proportions with interictal symptoms were reduced, but most not by much: for example, in males with migraine, interictal anxiety was reduced from 9.9 to 7.0 % (Fisher’s exact: p = 0.0066), avoidance from 14.7 to 14.0 % (p = 0.6783); in females with migraine, interictal anxiety was reduced from 11.0 to 10.0 % (p = 0.3293), avoidance from 14.8 to 14.0 % (p = 0.5073). We did not undertake these analyses in participants with TTH because their level of interictal anxiety was so much lower, or in those with pMOH because of small numbers.", "A third of respondents (32.9 %) with migraine and a quarter (26.7 %) with TTH were reluctant to tell others of their headaches (Table 6). This difference was significant (chi-squared = 26.744; p < 0.0001). Gender differences were minor. About 10 % with each disorder felt their families and friends did not understand or accept their headaches. Nearly 12 % with migraine who were employed reported their employers and colleagues did not, but those with TTH apparently fared better (6.6 %; chi-squared = 37.962; p < 0.0001).Table 6Proportions of participants with headache responding adversely to questions on social isolation, by headache type and genderHeadache typeGenderNAvoid telling othersFamily, friends don’t understandNEmployer, colleagues don’t understand\nn (%) [95 % CI]\nn (%) [95 % CI]\nn (%) [95 % CI]MigraineFemale2042691 (33.8) [31.8–35.9]227 (11.1) [9.7–12.5]1723201 (11.7) [10.2–13.2]Male917282 (30.8) [27.8–33.8]76 (8.3) [6.5–10.1]75385 (11.3) [9.0–13.6]All2959973 (32.9) [31.2–34.6]303 (10.2) [9.1–11.3]2476292 (11.8) [10–5–13.1]Tension–type headacheFemale1657429 (25.9) [23.8–28.0]146 (8.8) [7.4–10.2]129874 (5.7) [4.4–7.0]Male1376382 (27.8) [25.4–30.2]142 (10.3) [8.7–11.9]108684 (7.7) [6.1–9.3]All3033811 (26.7) [25.1–28.3]288 (9.5) [8.5–10.5]2384158 (6.6) [5.6–7.6]\nProportions of participants with headache responding adversely to questions on social isolation, by headache type and gender", "Finally we made enquiries among those with migraine about cumulative burdens. We did not conduct this analysis among those with TTH, which is less recognisably a lifelong condition. Overall, 11.8 % of participants with migraine reported that they had done less well in their education because of their headaches. The proportion was higher (14.1 %) in those aged <40 years. Reduced earnings were reported by 5.9 %, while 7.4 % believed their careers had suffered generally and they had done less well than they might, but for their headaches. A small proportion (2.1 %) had specifically taken easier jobs, and 1.4 % had taken long-term sick leave.\nDifficulties in love life were reported by 17.6 %, with slightly more (18.8 %) among those under 40 years and a marked gender difference (males 12.8 %, females 19.7 %). About 1 % of respondents reported having fewer children, or had avoided having children altogether, because of their migraine. Very small proportions claimed that migraine had caused marital separation (0.5 %) or divorce (0.2 %).", "This was a large study of well over 6000 participants drawn from nine countries of Europe. It suffered from the limitations of the Eurolight study: it was not entirely population-based, sampling methods differed between countries (although to some extent this was a strength, since it was not a purpose to compare countries [12]), and participation rates were very low in some [19]. Nevertheless, this analysis leaves little doubt that interictal burden exists as a significant consequence of episodic headache. It is more evident in migraine than in TTH, reflecting its strong relationship with ictal burden – which is demonstrated here in several ways – but it is an important finding that it is not restricted to migraine. Avoidance, effectively meaning some degree of daily lifestyle compromise, was reported by nearly 15 % (or one in seven) with migraine compared to just under 5 % (one in 21) with TTH. Worry about the next episode was expressed by just over 10 % of those with migraine and 3 % of those with TTH. These were differences by a factor of about 3; however, while one quarter (26.0 %) of participants with migraine reported that they were not entirely free of symptoms interictally, the proportion (18.9 %) with TTH who said the same was not so much lower. Our enquiry did not extend into what the nature of these other interictal symptoms might be: this is further work to be done.\nGender differences, incidentally, appeared to be minor. The main exception to this was in proportions “always” in control of their headaches, which favoured males with either migraine or TTH. The determinants of feeling in control are complex, and probably largely dependent on effectiveness of acute therapy, whereas the perception of not being in control is undoubtedly a contributor to interictal burden. Of those with migraine, 15 % were “rarely” or “never” in control, of those with TTH 10 %, without significant gender differences.\nTime spent in the interictal state, during which these symptoms might continuously be present, was, on average, 317 days/year in those with migraine and 331 in those with TTH. There is a conceptual issue in the estimation of total interictal burden per year as the product: [(burden assessed for a single day) x (days/year spent in interictal state)]. This works for large groups, not for individuals. By enquiring into burden on the last day without headache, we assumed this was a random day for each participant. On any such random day, a representative proportion of participants would have experienced interictal symptoms. It is not implied that interictal symptoms are present throughout the time in the interictal state in every participant who reports such symptoms (although in some they may be), but rather that the size of the proportion of people affected remains more or less constant.\nThe randomness of this day might be questioned, since by definition it was the last day of the interictal period. Intuitively it might be expected that anxiety, at least, builds over time during this period. In fact the evidence is against this: the clear relationships between interictal symptoms and headache frequency (Table 5) indicate inverse relationships with length of interictal period.\nThe last day without headache was also the day before the last headache. There is a possibility, therefore, that this enquiry captured premonitory symptoms, particularly the non-specific third question (“On that day, did you feel completely free from all headache-related symptoms?”). This question had the highest proportion of adverse responses (Table 3), but was least associated with headache intensity or frequency (Table 5).\nTime spent in the interictal state is, of course, inversely related to headache frequency. The relationship between overall interictal burden and headache frequency is likely to be complex; burden may be heavier with higher frequency, but it is not borne for so long. In migraine, there was a strong relationship between the probability of interictal anxiety and headache frequency, and a less strong relationship for avoidance.\nOur enquiry into anxiety (or worry) was specifically directed towards the next headache episode, and not aimed at general anxiety (which is known to be comorbid with migraine and also related to attack frequency [9, 20–22]). Perhaps not unexpectedly, we found a clear association, in migraine, between interictal worry about the next attack and general anxiety: those meeting HADS caseness criteria for anxiety [18] were more than twice as likely to report interictal anxiety as those in the normal range. This association, which was graded, suggests an aetiological relationship, but says nothing about direction of causation. It should be noted that it was much less strong than many associations between interictal anxiety and measures of ictal burden (Table 5). Furthermore, when all participants meeting HADS caseness criteria for anxiety (18.1 % of the total) were removed from the analysis, proportions among the remainder with interictal symptoms (including interictal anxiety) were reduced but not greatly. In other words, general anxiety cannot account for more than a very small part of interictal anxiety.\nThe considerable reluctance to tell others of their headaches (one third [32.9 %] with migraine and a quarter [26.7 %] with TTH) may reflect natural reticence in discussing health issues more than stigma attaching specifically to headache. The difference between disorders was significant (p < 0.0001), whereas gender differences were minor. On the other hand, employers and colleagues appeared to be rather understanding of respondents’ headaches: 88–89 % in the case of migraine, and about 93 % in the case of TTH (which probably caused them less trouble). In fact, they were as accepting as families and friends (about 90 % with each disorder).\nOur enquiries into cumulative burden acknowledged an additional dimension to interictal burden, potentially very important in the context of a lifelong disorder [6, 7]. Doing less well in education because of headache was reported by 11.8 % of participants with migraine. Admittedly this might be a subjective judgment based on recall, perhaps from long ago, but 11.8 % is a large and noteworthy proportion. We could not measure the consequences of disrupted education, but they could be huge over a lifetime, and this finding is a reminder, if it is needed, of the importance of headache in childhood and adolescence. Some of the consequences were, perhaps, evident in responses to subsequent questions: reduced earnings, reported by 5.9 %; careers suffering, reported by 7.4 %. Then there were those who had effectively given up: 2.1 % who had taken an easier job, and 1.4 % on long-term sick leave – small numbers, but these outcomes represented profound consequences for these people and their dependents.\nDifficulties in love life were common (17.6 %), and here there was a marked gender difference (male-to-female ratio 2:3). The 1 % who had had fewer children because of their migraine reflected another profound life-affecting consequence.\nThere are few previous studies with which to make comparisons. Boardman et al. argued that migraine pain would lead to isolation from social, emotional and behavioural aspects of life, and could greatly impact on these between attacks, being in this regard similar to other painful syndromes [23]. A Swedish study among patients in a migraine clinic revealed less contentment and vitality and poorer sleep and sense of wellbeing, coupled with more subjective symptoms in the headache-free periods, than among a population-based control group [24]. A population-based study in the same country found that only 43 % of people with migraine recovered completely between attacks [11]. This implied a far higher proportion (57 %) not free of all symptoms interictally than we found (26 %), but there was no description of what type of symptoms persisted, and some participants might have had more or less chronic headache. In a UK study, at least two thirds (66 %) of 158 hospital employees with migraine reported some form of impact between attacks, including interference with family (54 %) or work (35 %) relationships, feelings of not being in control of their lives (34 %) and damaged chances of promotion (15 %) [25]. “Not in control of lives” cannot be compared with our enquiry “not in control of headaches”, but generally these findings indicate greater interictal impact than ours. However, participation rate in the survey was 45 %, there was gender bias (93 % of the 158 were female) and, taking the nature of the population also into account, interest bias was highly likely. In these and other reports [6–9], the existence of interictal burden has clearly been recognised; in the latter, furthermore, many of its elements have been well described [6–9]. This study, however, is the first to estimate their general population prevalence.\nA limitation was that our questions mostly invited yes/no responses. Therefore we could capture prevalence but not magnitude. The methodology for magnitude estimation has yet to be developed: it does not exist in recommendations for burden estimation so far put forward [7]. What this study has shown is that the methodology is needed: the high prevalence of interictal burden demands it if the burden of headache is to be adequately described.", "Interictal burden in those with episodic headache is common, more so in migraine than in TTH, but, importantly, it is not restricted to those with migraine. It shows a relationship with ictal burden. Although we did not assess the magnitude of burden, some elements – in particular those that are cumulative – have the potential to be profoundly consequential. There is a need for new methodology to measure interictal burden if descriptions of headache burden are to be complete." ]
[ "introduction", "materials|methods", null, null, "results", null, null, null, null, "discussion", "conclusion" ]
[ "Headache", "Migraine", "Tension-type headache", "Interictal burden", "Public health", "Europe", "Eurolight project", "Global Campaign against Headache" ]
Background: Headache disorders, especially tension-type headache (TTH) and migraine, are extremely common [1]. From a public-health perspective, and also from the viewpoint of affected people, they are also among the most disabling: migraine is the sixth highest cause in the world of years of healthy life lost to disability (YLDs), and headache disorders collectively are third, according to the Global Burden of Disease Study 2013 (GBD2013) [2, 3]. Various causes of headache occurring on ≥15 days every month affect 2–4 % of the world’s adult population [4]. Among these, medication-overuse headache (MOH) affects 1–2 % [5], and this disorder is itself among the top 20 causes (18th) of YLDs [2, 3]. Nevertheless, most primary headaches are episodic, and most of the disability burden attributed to headache in GBD2013 was based on epidemiological data focused on the episodic subtypes of migraine and TTH. These disorders give rise directly, but intermittently, to symptom burden: pain, often accompanied in the case of migraine by nausea, vomiting and photo- and/or phonophobia. All of these tend to cause debility, prostration and reduced functional ability, a secondary disability burden which is the principal cause of YLDs and consequential lost productivity. This ictal burden is easily conceptualised; but it has long been recognised that people with episodic headache may not be entirely symptom-free between attacks [6, 7]. There are good reasons for this. Since headache attacks are unpleasant, people who experience them wish not to do so. Those in whom they occur frequently are very likely to worry about when the next may happen, and in some this can reach a level of anxiety. More commonly it may provoke avoidance behaviour, particularly among those with migraine who identify triggers and endeavour to eliminate them by lifestyle compromise. Sensible this may be, but too much lifestyle compromise may take the pleasure out of life. An example given by Stovner et al. was this: “Leisure activities may be cancelled or curtailed because of headache; when many have been cancelled, social events are likely not to be planned in the first place. Social life between attacks may simply cease” [7]. These are elements of interictal burden. The health and wellbeing importance of interictal burden lies in its continuity. Whereas the ictal burden of episodic headache is typically present during only one or two days in every month, interictal burden can impose itself on all of the other days. This means two things. First, interictal burden ought not to be ignored: the burden of headache is very poorly described if it does not take interictal burden into account. Second, if interictal burden is overestimated, then multiplied by time, quantification of overall burden is likely to be greatly distorted. GBD2010 described distinct ictal and interictal health states associated with both migraine and TTH, and allocated disability weights (DWs) to each, but the interictal DWs and burden estimates arising from them were not reported [1], probably for this reason. In fact there is little empirical knowledge about interictal burden. Furthermore, while it has been described [6–10], it has no accepted definition. A single Swedish study has made a population-based estimate of prevalence [11], but this described only the proportion of people with migraine (43 %) who recovered completely between attacks. There are no published studies that have estimated magnitude. We may assume that significant relationships exist between interictal burden and the behaviour, performance, productivity, family life and social activities of those affected, but no data exist to confirm these. The Eurolight project, supported by the European Commission Public Health Executive Agency, was a partnership activity within the Global Campaign against Headache. Its main purpose was to gather knowledge of the impact of headache disorders of public-health importance across Europe. Its questionnaire included a number of question sets designed to capture elements of headache-attributed burden, among which were those likely to be experienced interictally. We analysed the Eurolight dataset accordingly, and report our findings here. Our working definition of interictal burden was: “Any loss of health or wellbeing attributable to a headache disorder reportedly experienced while headache-free.” It has multiple components [10]; those addressed by the Eurolight questionnaire included interictal anxiety, avoidance behaviour and non-headache symptoms; perceptions of poor headache control, stigma and social isolation; and the cumulative burdens engendered by disturbed education, lost career opportunities and damaged family life. Methods: The original Eurolight survey was conducted from November 2008 to August 2009. The full methodology is described elsewhere [12]; below we present brief details. The survey was of cross-sectional design and used modified cluster sampling in 10 countries (Austria, France, Germany, Ireland, Italy, Lithuania, Luxembourg, Netherlands, Spain and United Kingdom) representing >60 % of the adult population (18–65 years) of the European Union. The sampling methods, summarised in Table 1, varied between countries according to what was feasible [12]. Additional samples in Spain and Netherlands, and the only sample in Ireland, were recruited through patients’ organisations [12]. To avoid the inevitable biases inherent in these, they were not included in this analysis.Table 1Summary of data collection methods in each countryCountrySample size (n)MethodsDenominatorRespondersResponders with headacheAustriaup to 6000646454Up to 10 consecutive patients aged 18–65 y visiting any of 400 general practitioners (GPs) and 200 neurologists for any reason on a pre-specified day. Questionnaires to be completed and returned later. One reminder after one month to non-responders.France2400876586Consecutive patients aged 18–65 y attending any of a cooperative of 80 GPs on a pre-specified day. Questionnaires to be completed and returned immediately or later by post. One reminder by email after one week to non-responders.Germany3000338248Random urban (50 %) and rural (50 %) samples aged 18–65 y from general population listings supplied by local municipal authority. Questionnaires distributed and returned by post. No reminders sent.Italy3500500374Random urban (70 %) and rural (30 %) samples drawn from general population using listings supplied by Azienda Sanitaria Locale of Pavia, stratified with regard to gender, age (in range 18–65 y) and education. Questionnaires distributed and returned by post. No reminders sent.Lithuania1137616440Sample drawn from Kaunas city and Kaunas region using Residents’ Register Service, reflecting age (in range 18–65 y) and gender composition of Lithuania and proportions living in rural (33 %) or urban (67 %) areas. Data collection face-to-face, conducted by medical students “cold-calling” door-to-door.Luxembourg649820231473Sample aged 18–65 y, stratified for age, gender, region and nationality, drawn from general population via national social security registry (IGSS). Questionnaires distributed and returned by post. Reminders sent one month later to non-responders.Netherlandsunknown24141993Survey conducted by market research company with access to population sample of 200,000, representative with regard to gender, age (in range 18–65 y), region and education. Questionnaire distributed by internet, to be completed on-line. Study stopped when >2000 received back.Spain1700999797Random sample of employees of companies operating in national postal services in 10 areas of Spain, stratified to be representative of general working population with regard to gender, age (in range 18–65 y) and education. Ten occupational health physicians delivered and took return of questionnaires. One telephone reminder to non-responders.United Kingdom72012890Modified population-based sampling through 12 GP practices in 11 areas (in UK, virtually all residents are registered with local GP). Questionnaire given to consecutive patients aged 18–65 y attending for any reason over a period of time, to be completed and returned immediately, or later by post. Summary of data collection methods in each country In all countries, the survey used the same structured questionnaire [13], a derivative of the HARDSHIP questionnaire [10], translated into the local languages following Lifting The Burden’s translation protocol for lay documents [14]. Demographic questions were followed by screening questions for headache and, in those screening positively, by headache-diagnostic questions based on ICHD-II [15]. Participants with more than one headache type were asked to report only on the one they considered most bothersome. Diagnoses were made by computerized algorithm [10]. This first identified, and separated, participants reporting headache on ≥15 days/month (of whom additional questions enquired into medication use), then to the remainder applied ICHD-II criteria for migraine, TTH, probable migraine and probable TTH in that order. Thus a diagnosis of TTH trumped probable migraine [15]. In the analyses, migraine and probable migraine were considered together, as were TTH and probable TTH [7, 16]. Probable MOH (pMOH) was assumed to be the diagnosis when headache frequency was ≥15 days/month, duration was >4 h, the question “Do you usually take medication to treat your headaches” was answered “yes”, and frequency of acute medication use was ≥15 days/month when the medication was simple analgesics only or ≥10 days/month when it was any other (compound analgesics, opioids, triptans and/or ergots). A diagnosis of pMOH trumped all other diagnoses. The questionnaire included several question sets addressing impact, including interictal and cumulative burdens (Table 2). In addition, it imported, as modules, the Headache-Attributed Lost Time (HALT) Index [17], which enabled correlations of interictal with ictal burden, and the Hospital Anxiety and Depression Scale (HADS) [18].Table 2Questions on interictal and cumulative burdens attributable to headacheDomain of enquiryQuestionResponse options (optimum response first)Symptoms in the interictal period (questions specifically about the last day when the respondent did not have a headache)On that day, were you anxious or worried about your next headache episode?no; yesOn that day, was there anything you could not do or did not do because you wanted to avoid getting a headache?no; yesOn that day, did you feel completely free from all headache-related symptoms?yes; noControl of headachesTaking into account everything you do to treat your headaches, do you feel you are in control of your headaches?always; often; sometimes; rarely; neverStigma and social isolationDo you avoid telling people that you have headaches?no; yesDo you feel that your family and friends understand and accept your headaches?yes; noDo you feel that your employer and work colleagues understand and accept your headaches?yes; noCumulative burdensHave your headaches interfered with your education?no;(multiple response options possible)yes, I did less well;yes, I gave up earlyDo you believe your headaches have made you less successful in your career?no;(multiple response options possible)yes, I have done less well;yes, I have taken an easier job;yes, I have taken long-term sick leave;yes, I have retired early;yes, I am on a disability pensionHave your headaches affected your family planning?no;yes, I have had fewer children;yes, I have avoided having childrenDuring the last 3 months, have your headaches caused difficulties in your love life?no; yesHave your headaches caused a relationship to break down?no;yes, they have caused separation;yes, they have caused divorce Questions on interictal and cumulative burdens attributable to headache Statistical analysis Analyses were performed at the Norwegian University of Science and Technology using SPSS version 21 and Microsoft Excel version 14.0.7153.5000. In most cases these were of participants’ responses to the various questions, summarised for all those with headache or by diagnosis (migraine, TTH or pMOH). We described categorical variables as proportions (n [%]) and continuous variables in terms of means and standard deviations (SDs). We assumed interictal burden was present on days without headache; therefore we calculated time spent in interictal state (in days/year) as [365 – (reported headache frequency in days/year)]. We reported this variable in terms of means and standard errors (SEs). We calculated odds ratio (ORs) and 95 % confidence intervals (CIs) to show associations in bivariate analyses. We used chi-squared and Fisher’s exact tests of significance. Analyses were performed at the Norwegian University of Science and Technology using SPSS version 21 and Microsoft Excel version 14.0.7153.5000. In most cases these were of participants’ responses to the various questions, summarised for all those with headache or by diagnosis (migraine, TTH or pMOH). We described categorical variables as proportions (n [%]) and continuous variables in terms of means and standard deviations (SDs). We assumed interictal burden was present on days without headache; therefore we calculated time spent in interictal state (in days/year) as [365 – (reported headache frequency in days/year)]. We reported this variable in terms of means and standard errors (SEs). We calculated odds ratio (ORs) and 95 % confidence intervals (CIs) to show associations in bivariate analyses. We used chi-squared and Fisher’s exact tests of significance. Ethics The National Ethics Committee of Luxembourg gave overall approval of the protocol. Further approvals were obtained from national or local ethics committees wherever needed. Similarly, data protection approvals were obtained centrally in Luxembourg and at country levels in compliance with national and European laws. In each country, prospective participants received a written information sheet explaining the project and enquiry, and their purpose. The National Ethics Committee of Luxembourg gave overall approval of the protocol. Further approvals were obtained from national or local ethics committees wherever needed. Similarly, data protection approvals were obtained centrally in Luxembourg and at country levels in compliance with national and European laws. In each country, prospective participants received a written information sheet explaining the project and enquiry, and their purpose. Statistical analysis: Analyses were performed at the Norwegian University of Science and Technology using SPSS version 21 and Microsoft Excel version 14.0.7153.5000. In most cases these were of participants’ responses to the various questions, summarised for all those with headache or by diagnosis (migraine, TTH or pMOH). We described categorical variables as proportions (n [%]) and continuous variables in terms of means and standard deviations (SDs). We assumed interictal burden was present on days without headache; therefore we calculated time spent in interictal state (in days/year) as [365 – (reported headache frequency in days/year)]. We reported this variable in terms of means and standard errors (SEs). We calculated odds ratio (ORs) and 95 % confidence intervals (CIs) to show associations in bivariate analyses. We used chi-squared and Fisher’s exact tests of significance. Ethics: The National Ethics Committee of Luxembourg gave overall approval of the protocol. Further approvals were obtained from national or local ethics committees wherever needed. Similarly, data protection approvals were obtained centrally in Luxembourg and at country levels in compliance with national and European laws. In each country, prospective participants received a written information sheet explaining the project and enquiry, and their purpose. Results: Demographics and diagnoses In total there were 6455 participants with any headache from the nine countries (male 2444 [37.9 %], mean age 41.9 ± SD = 12.6 years; female 4011 [62.1 %], mean age 40.8 ± 12.1 years). Among these, 2959 were diagnosed with migraine, 3033 with TTH and 249 with pMOH (Table 3).Table 3Proportions of participants with headache reporting interictal burden, by headache type and genderHeadache typeGenderNInterictal anxietyInterictal avoidanceNot free of all symptomsMean time in interictal state n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI]days/year (mean ± SE)AllFemale4011344 (8.6) [7.7–9.5]441 (11.0) [10.0–12.0]902 (22.5) [21.2–23.8]316 ± 1Male2444157 (6.4) [5.4–7.4]227 (9.3) [8.1–10.5]575 (23.5) [21.8–25.2]All6455501 (7.8) [7.1–8.5]668 (10.3) [9.6–11.0]1478 (22.9) [21.9–23.9]MigraineFemale2042224 (11.0) [9.6–12.4]302 (14.8) [13.3–16.3]522 (25.6) [23.7–27.5]317 ± 1Male91791 (9.9) [8.0–11.8]135 (14.7) [12.4–17.0]248 (27.0) [24.1–29.9]All2959315 (10.6) [9.5–11.7]437 (14.8) [13.5–16.1]770 (26.0) [24.4–27.6]Tension–type headacheFemale165751 (3.1) [2.3–3.9]70 (4.2) [3.2–5.2]283 (17.1) [15.3–18.9]331 ± 1Male137642 (3.1) [2.2–4.0]72 (5.2) [4.0–6.4]289 (21.0) [18.8–23.2]All303393 (3.1) [2.5–3.7]142 (4.7) [3.9–5.5]572 (18.9) [17.5–20.3]Probable medication–overuse headacheFemale18853 (28.2) [21.8–34.6]58 (30.9) [24.3–37.5]76 (40.4) [33.4–47.4]120 ± 4Male6119 (31.1) [19.5–42.7]15 (24.6) [13.8–35.4]25 (41.0) [28.7–53.3]All24972 (28.9) [23.3–34.5]73 (29.3) [23.6–35.0]101 (40.6) [34.5–46.7] Proportions of participants with headache reporting interictal burden, by headache type and gender In total there were 6455 participants with any headache from the nine countries (male 2444 [37.9 %], mean age 41.9 ± SD = 12.6 years; female 4011 [62.1 %], mean age 40.8 ± 12.1 years). Among these, 2959 were diagnosed with migraine, 3033 with TTH and 249 with pMOH (Table 3).Table 3Proportions of participants with headache reporting interictal burden, by headache type and genderHeadache typeGenderNInterictal anxietyInterictal avoidanceNot free of all symptomsMean time in interictal state n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI]days/year (mean ± SE)AllFemale4011344 (8.6) [7.7–9.5]441 (11.0) [10.0–12.0]902 (22.5) [21.2–23.8]316 ± 1Male2444157 (6.4) [5.4–7.4]227 (9.3) [8.1–10.5]575 (23.5) [21.8–25.2]All6455501 (7.8) [7.1–8.5]668 (10.3) [9.6–11.0]1478 (22.9) [21.9–23.9]MigraineFemale2042224 (11.0) [9.6–12.4]302 (14.8) [13.3–16.3]522 (25.6) [23.7–27.5]317 ± 1Male91791 (9.9) [8.0–11.8]135 (14.7) [12.4–17.0]248 (27.0) [24.1–29.9]All2959315 (10.6) [9.5–11.7]437 (14.8) [13.5–16.1]770 (26.0) [24.4–27.6]Tension–type headacheFemale165751 (3.1) [2.3–3.9]70 (4.2) [3.2–5.2]283 (17.1) [15.3–18.9]331 ± 1Male137642 (3.1) [2.2–4.0]72 (5.2) [4.0–6.4]289 (21.0) [18.8–23.2]All303393 (3.1) [2.5–3.7]142 (4.7) [3.9–5.5]572 (18.9) [17.5–20.3]Probable medication–overuse headacheFemale18853 (28.2) [21.8–34.6]58 (30.9) [24.3–37.5]76 (40.4) [33.4–47.4]120 ± 4Male6119 (31.1) [19.5–42.7]15 (24.6) [13.8–35.4]25 (41.0) [28.7–53.3]All24972 (28.9) [23.3–34.5]73 (29.3) [23.6–35.0]101 (40.6) [34.5–46.7] Proportions of participants with headache reporting interictal burden, by headache type and gender Interictal anxiety, avoidance and other interictal symptoms Table 3 shows the proportions responding adversely to each of the three questions (see Table 2), for all participants with headache and by diagnosis and gender. It also shows, by diagnosis, the time in days/year spent with interictal burden. With regard to the episodic headaches, about one quarter (26.0 %) of participants with migraine and just under one fifth (18.9 %) with TTH reported interictal symptoms, in each case rather more males than females. Interictal anxiety was reported by about 10 % of those with migraine, avoidance by about 15 %. Both were much more common in migraine than TTH (for interictal anxiety, OR 3.8 [95 % CI: 3.0–4.8]; for avoidance, OR 3.5 [95 % CI: 2.9–4.3]). All proportions were substantially higher in pMOH: we report them in Table 3 for comparative interest, but note that, in any headache occurring on ≥15 days/month, it is not easy to discern what is ictal and what is interictal. For this reason, we present no further analyses of pMOH. About half (53.1 %) of those with migraine, and nearly three quarters (71.4 %) with TTH, were “always” or “often” in control of their headaches; on the other hand, 15.2 % with migraine and 9.6 % with TTH were “rarely” or “never” so (Table 4). Gender differences were notable in the proportions “always” in control, significantly favouring males: for migraine, chi-squared = 43.923, p < 0.0001; for TTH, chi-squared = 4.677, p = 0.0306.Table 4Proportions of participants with headache reporting degrees of control of their headaches, by headache type and genderHeadache typeGenderNIn control of headaches“Always”“Often”“Sometimes”“Rarely”“Never” n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI]MigraineFemale2042228 (11.2) [9.8–12.6]812 (39.8) [37.7–41.9]667 (32.7) [30.7–34.7]214 (10.5) [9.2–11.8]100 (4.9) [4.0–5.8]Male917187 (20.4) [17.8–23.0]344 (37.5) [34.4–40.6]243 (26.5) [23.6–29.4]80 (8.7) [6.9–10.5]56 (6.1) [4.6–7.7]All2959415 (14.0) [12.8–15.3]1156 (39.1) [37.3–40.9]910 (30.8) [29.1–32.5]294 (9.9) [8.8–11.0]157 (5.3) [4.5–6.1]Tension–type headacheFemale1657566 (34.2) [31.9–36.5]608 (36.7) [34.4–39.0]307 (18.5) [16.6–20.4]87 (5.3) [4.2–6.4]54 (3.3) [2.4–4.2]Male1376523 (38.0) [35.4–40.6]470 (34.2) [31.7–36.7]209 (15.2) [13.3–17.1]79 (5.7) [4.5–6.9]71 (5.2) [4.0–6.4]All30331089 (35.9) [34.2–37.6]1078 (35.5) [33.8–37.2]516 (17.0) [15.7–18.3]166 (5.5) [4.7–6.3]125 (4.1) [3.4–4.8] Proportions of participants with headache reporting degrees of control of their headaches, by headache type and gender We enquired into whether the probability of reporting interictal burden would increase with greater reported ictal burden (Table 5), although we did this only among those with migraine because ictal burden generally remains low in TTH. Interictal anxiety increased markedly with headache intensity and frequency, avoidance less so but still significantly. This was not the case with interictal symptoms, where increased odds of reporting were significant only among those with very high attack frequencies (>90 days/year). Those reporting poor control of their headaches had significantly raised odds of interictal anxiety, avoidance and other interictal symptoms. Lost productive time measured by the HALT index, especially lost work time, was associated with quite high odds (OR up to 5.3) of reporting interictal anxiety and avoidance, although, with increasing lost work time beyond the range 12–22 days/3 months, these odds tended to decline. With lost household work, the opposite was the case (Table 5).Table 5Probability of reporting interictal burden according to measures of ictal burden in participants with migraineIctal burden measureProbability of reporting interictal burdenOdds ratio [95 % CI]Interictal anxietyInterictal avoidanceNot free of all symptomsHeadache intensity (reference: “not bad”)“bad”2.8 [1.5–5.4]1.6 [1.1–2.4]1.1 [0.8–1.4]“very bad”7.6 [4.0–14.7]3.0 [2.0–4.6]1.3 [1.0–1.8]Headache frequency (days/year) (reference: ≤12)13–242.4 [1.5–3.7]1.6 [1.1–2.2]1.1 [0.8–1.4]25–482.5 [1.7–3.8]2.0 [1.5–2.8]1.3 [1.0–1.6]49–903.7 [2.5–5.6]2.7 [1.9–3.6]1.3 [1.0–1.6]>906.4 [4.3–9.6]2.5 [1.8–3.6]1.8 [1.3–2.3]In control of headaches (reference: “always”)“often”1.1 [0.7–1.9]1.5 [1.0–2.2]1.1 [1.1–1.9]“sometimes”3.5 [2.1–5.6]2.8 [1.9–4.1]1.9 [1.4–2.5]“rarely” or “never”4.1 [2.5–6.9]2.6 [1.7–3.9]2.5 [1.8–3.4]Lost productive time (HALT index): lost work time (days/3 months) (reference: ≤11)12–225.3 [3.6–7.9]2.9 [1.9–4.3]1.8 [1.2–2.6]23–334.2 [2.0–8.9]2.3 [1.1–5.0]1.8 [0.9–3.7]>334.2 [1.7–10.2]2.7 [1.1–6.6]1.9 [0.8–4.4]lost household time (days/3 months) (reference: ≤11)12–222.4 [1.7–3.6]2.4 [1.7–3.4]1.3 [0.9–1.8]23–333.6 [2.1–6.3]2.3 [1.3–4.0]1.8 [1.1–3.0]>335.3 [2.6–10.7]3.8 [1.9–7.6]1.7 [0.9–3.5]lost work + household time + social events (days/3 months) (reference: ≤22)23–444.1 [2.9–5.7]2.9 [2.1–4.0]1.5 [1.1–2.0]45–664.0 [2.2–7.2]2.8 [1.6–5.0]2.2 [1.3–3.6]>664.4 [2.3–8.3]2.4 [1.3–4.5]1.7 [1.0–3.1] Probability of reporting interictal burden according to measures of ictal burden in participants with migraine We wondered whether our enquiry into interictal anxiety might be influenced by general anxiety. We could test this, because our enquiry included HADS; this enabled us to compare, for prevalence of interictal anxiety, those with HADS-A scores in the normal range (<8), borderline cases (scoring 8–10) and those at or above the threshold score (11) for anxiety caseness [18]. We performed this analysis in those with migraine, in whom we found a clear gradient: 7.9 %, 10.4 % (OR 1.3 [95 % CI: 1.0–1.8]; p = 0.072) and 17.8 % (OR 2.3 [95 % CI: 1.7–3.0]; p < 0.0001) respectively. We also repeated the analysis shown in Table 3 after excluding participants with HADS-A scores ≥11 (n = 1166). All proportions with interictal symptoms were reduced, but most not by much: for example, in males with migraine, interictal anxiety was reduced from 9.9 to 7.0 % (Fisher’s exact: p = 0.0066), avoidance from 14.7 to 14.0 % (p = 0.6783); in females with migraine, interictal anxiety was reduced from 11.0 to 10.0 % (p = 0.3293), avoidance from 14.8 to 14.0 % (p = 0.5073). We did not undertake these analyses in participants with TTH because their level of interictal anxiety was so much lower, or in those with pMOH because of small numbers. Table 3 shows the proportions responding adversely to each of the three questions (see Table 2), for all participants with headache and by diagnosis and gender. It also shows, by diagnosis, the time in days/year spent with interictal burden. With regard to the episodic headaches, about one quarter (26.0 %) of participants with migraine and just under one fifth (18.9 %) with TTH reported interictal symptoms, in each case rather more males than females. Interictal anxiety was reported by about 10 % of those with migraine, avoidance by about 15 %. Both were much more common in migraine than TTH (for interictal anxiety, OR 3.8 [95 % CI: 3.0–4.8]; for avoidance, OR 3.5 [95 % CI: 2.9–4.3]). All proportions were substantially higher in pMOH: we report them in Table 3 for comparative interest, but note that, in any headache occurring on ≥15 days/month, it is not easy to discern what is ictal and what is interictal. For this reason, we present no further analyses of pMOH. About half (53.1 %) of those with migraine, and nearly three quarters (71.4 %) with TTH, were “always” or “often” in control of their headaches; on the other hand, 15.2 % with migraine and 9.6 % with TTH were “rarely” or “never” so (Table 4). Gender differences were notable in the proportions “always” in control, significantly favouring males: for migraine, chi-squared = 43.923, p < 0.0001; for TTH, chi-squared = 4.677, p = 0.0306.Table 4Proportions of participants with headache reporting degrees of control of their headaches, by headache type and genderHeadache typeGenderNIn control of headaches“Always”“Often”“Sometimes”“Rarely”“Never” n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI]MigraineFemale2042228 (11.2) [9.8–12.6]812 (39.8) [37.7–41.9]667 (32.7) [30.7–34.7]214 (10.5) [9.2–11.8]100 (4.9) [4.0–5.8]Male917187 (20.4) [17.8–23.0]344 (37.5) [34.4–40.6]243 (26.5) [23.6–29.4]80 (8.7) [6.9–10.5]56 (6.1) [4.6–7.7]All2959415 (14.0) [12.8–15.3]1156 (39.1) [37.3–40.9]910 (30.8) [29.1–32.5]294 (9.9) [8.8–11.0]157 (5.3) [4.5–6.1]Tension–type headacheFemale1657566 (34.2) [31.9–36.5]608 (36.7) [34.4–39.0]307 (18.5) [16.6–20.4]87 (5.3) [4.2–6.4]54 (3.3) [2.4–4.2]Male1376523 (38.0) [35.4–40.6]470 (34.2) [31.7–36.7]209 (15.2) [13.3–17.1]79 (5.7) [4.5–6.9]71 (5.2) [4.0–6.4]All30331089 (35.9) [34.2–37.6]1078 (35.5) [33.8–37.2]516 (17.0) [15.7–18.3]166 (5.5) [4.7–6.3]125 (4.1) [3.4–4.8] Proportions of participants with headache reporting degrees of control of their headaches, by headache type and gender We enquired into whether the probability of reporting interictal burden would increase with greater reported ictal burden (Table 5), although we did this only among those with migraine because ictal burden generally remains low in TTH. Interictal anxiety increased markedly with headache intensity and frequency, avoidance less so but still significantly. This was not the case with interictal symptoms, where increased odds of reporting were significant only among those with very high attack frequencies (>90 days/year). Those reporting poor control of their headaches had significantly raised odds of interictal anxiety, avoidance and other interictal symptoms. Lost productive time measured by the HALT index, especially lost work time, was associated with quite high odds (OR up to 5.3) of reporting interictal anxiety and avoidance, although, with increasing lost work time beyond the range 12–22 days/3 months, these odds tended to decline. With lost household work, the opposite was the case (Table 5).Table 5Probability of reporting interictal burden according to measures of ictal burden in participants with migraineIctal burden measureProbability of reporting interictal burdenOdds ratio [95 % CI]Interictal anxietyInterictal avoidanceNot free of all symptomsHeadache intensity (reference: “not bad”)“bad”2.8 [1.5–5.4]1.6 [1.1–2.4]1.1 [0.8–1.4]“very bad”7.6 [4.0–14.7]3.0 [2.0–4.6]1.3 [1.0–1.8]Headache frequency (days/year) (reference: ≤12)13–242.4 [1.5–3.7]1.6 [1.1–2.2]1.1 [0.8–1.4]25–482.5 [1.7–3.8]2.0 [1.5–2.8]1.3 [1.0–1.6]49–903.7 [2.5–5.6]2.7 [1.9–3.6]1.3 [1.0–1.6]>906.4 [4.3–9.6]2.5 [1.8–3.6]1.8 [1.3–2.3]In control of headaches (reference: “always”)“often”1.1 [0.7–1.9]1.5 [1.0–2.2]1.1 [1.1–1.9]“sometimes”3.5 [2.1–5.6]2.8 [1.9–4.1]1.9 [1.4–2.5]“rarely” or “never”4.1 [2.5–6.9]2.6 [1.7–3.9]2.5 [1.8–3.4]Lost productive time (HALT index): lost work time (days/3 months) (reference: ≤11)12–225.3 [3.6–7.9]2.9 [1.9–4.3]1.8 [1.2–2.6]23–334.2 [2.0–8.9]2.3 [1.1–5.0]1.8 [0.9–3.7]>334.2 [1.7–10.2]2.7 [1.1–6.6]1.9 [0.8–4.4]lost household time (days/3 months) (reference: ≤11)12–222.4 [1.7–3.6]2.4 [1.7–3.4]1.3 [0.9–1.8]23–333.6 [2.1–6.3]2.3 [1.3–4.0]1.8 [1.1–3.0]>335.3 [2.6–10.7]3.8 [1.9–7.6]1.7 [0.9–3.5]lost work + household time + social events (days/3 months) (reference: ≤22)23–444.1 [2.9–5.7]2.9 [2.1–4.0]1.5 [1.1–2.0]45–664.0 [2.2–7.2]2.8 [1.6–5.0]2.2 [1.3–3.6]>664.4 [2.3–8.3]2.4 [1.3–4.5]1.7 [1.0–3.1] Probability of reporting interictal burden according to measures of ictal burden in participants with migraine We wondered whether our enquiry into interictal anxiety might be influenced by general anxiety. We could test this, because our enquiry included HADS; this enabled us to compare, for prevalence of interictal anxiety, those with HADS-A scores in the normal range (<8), borderline cases (scoring 8–10) and those at or above the threshold score (11) for anxiety caseness [18]. We performed this analysis in those with migraine, in whom we found a clear gradient: 7.9 %, 10.4 % (OR 1.3 [95 % CI: 1.0–1.8]; p = 0.072) and 17.8 % (OR 2.3 [95 % CI: 1.7–3.0]; p < 0.0001) respectively. We also repeated the analysis shown in Table 3 after excluding participants with HADS-A scores ≥11 (n = 1166). All proportions with interictal symptoms were reduced, but most not by much: for example, in males with migraine, interictal anxiety was reduced from 9.9 to 7.0 % (Fisher’s exact: p = 0.0066), avoidance from 14.7 to 14.0 % (p = 0.6783); in females with migraine, interictal anxiety was reduced from 11.0 to 10.0 % (p = 0.3293), avoidance from 14.8 to 14.0 % (p = 0.5073). We did not undertake these analyses in participants with TTH because their level of interictal anxiety was so much lower, or in those with pMOH because of small numbers. Stigma and social isolation A third of respondents (32.9 %) with migraine and a quarter (26.7 %) with TTH were reluctant to tell others of their headaches (Table 6). This difference was significant (chi-squared = 26.744; p < 0.0001). Gender differences were minor. About 10 % with each disorder felt their families and friends did not understand or accept their headaches. Nearly 12 % with migraine who were employed reported their employers and colleagues did not, but those with TTH apparently fared better (6.6 %; chi-squared = 37.962; p < 0.0001).Table 6Proportions of participants with headache responding adversely to questions on social isolation, by headache type and genderHeadache typeGenderNAvoid telling othersFamily, friends don’t understandNEmployer, colleagues don’t understand n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI]MigraineFemale2042691 (33.8) [31.8–35.9]227 (11.1) [9.7–12.5]1723201 (11.7) [10.2–13.2]Male917282 (30.8) [27.8–33.8]76 (8.3) [6.5–10.1]75385 (11.3) [9.0–13.6]All2959973 (32.9) [31.2–34.6]303 (10.2) [9.1–11.3]2476292 (11.8) [10–5–13.1]Tension–type headacheFemale1657429 (25.9) [23.8–28.0]146 (8.8) [7.4–10.2]129874 (5.7) [4.4–7.0]Male1376382 (27.8) [25.4–30.2]142 (10.3) [8.7–11.9]108684 (7.7) [6.1–9.3]All3033811 (26.7) [25.1–28.3]288 (9.5) [8.5–10.5]2384158 (6.6) [5.6–7.6] Proportions of participants with headache responding adversely to questions on social isolation, by headache type and gender A third of respondents (32.9 %) with migraine and a quarter (26.7 %) with TTH were reluctant to tell others of their headaches (Table 6). This difference was significant (chi-squared = 26.744; p < 0.0001). Gender differences were minor. About 10 % with each disorder felt their families and friends did not understand or accept their headaches. Nearly 12 % with migraine who were employed reported their employers and colleagues did not, but those with TTH apparently fared better (6.6 %; chi-squared = 37.962; p < 0.0001).Table 6Proportions of participants with headache responding adversely to questions on social isolation, by headache type and genderHeadache typeGenderNAvoid telling othersFamily, friends don’t understandNEmployer, colleagues don’t understand n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI]MigraineFemale2042691 (33.8) [31.8–35.9]227 (11.1) [9.7–12.5]1723201 (11.7) [10.2–13.2]Male917282 (30.8) [27.8–33.8]76 (8.3) [6.5–10.1]75385 (11.3) [9.0–13.6]All2959973 (32.9) [31.2–34.6]303 (10.2) [9.1–11.3]2476292 (11.8) [10–5–13.1]Tension–type headacheFemale1657429 (25.9) [23.8–28.0]146 (8.8) [7.4–10.2]129874 (5.7) [4.4–7.0]Male1376382 (27.8) [25.4–30.2]142 (10.3) [8.7–11.9]108684 (7.7) [6.1–9.3]All3033811 (26.7) [25.1–28.3]288 (9.5) [8.5–10.5]2384158 (6.6) [5.6–7.6] Proportions of participants with headache responding adversely to questions on social isolation, by headache type and gender Cumulative burden Finally we made enquiries among those with migraine about cumulative burdens. We did not conduct this analysis among those with TTH, which is less recognisably a lifelong condition. Overall, 11.8 % of participants with migraine reported that they had done less well in their education because of their headaches. The proportion was higher (14.1 %) in those aged <40 years. Reduced earnings were reported by 5.9 %, while 7.4 % believed their careers had suffered generally and they had done less well than they might, but for their headaches. A small proportion (2.1 %) had specifically taken easier jobs, and 1.4 % had taken long-term sick leave. Difficulties in love life were reported by 17.6 %, with slightly more (18.8 %) among those under 40 years and a marked gender difference (males 12.8 %, females 19.7 %). About 1 % of respondents reported having fewer children, or had avoided having children altogether, because of their migraine. Very small proportions claimed that migraine had caused marital separation (0.5 %) or divorce (0.2 %). Finally we made enquiries among those with migraine about cumulative burdens. We did not conduct this analysis among those with TTH, which is less recognisably a lifelong condition. Overall, 11.8 % of participants with migraine reported that they had done less well in their education because of their headaches. The proportion was higher (14.1 %) in those aged <40 years. Reduced earnings were reported by 5.9 %, while 7.4 % believed their careers had suffered generally and they had done less well than they might, but for their headaches. A small proportion (2.1 %) had specifically taken easier jobs, and 1.4 % had taken long-term sick leave. Difficulties in love life were reported by 17.6 %, with slightly more (18.8 %) among those under 40 years and a marked gender difference (males 12.8 %, females 19.7 %). About 1 % of respondents reported having fewer children, or had avoided having children altogether, because of their migraine. Very small proportions claimed that migraine had caused marital separation (0.5 %) or divorce (0.2 %). Demographics and diagnoses: In total there were 6455 participants with any headache from the nine countries (male 2444 [37.9 %], mean age 41.9 ± SD = 12.6 years; female 4011 [62.1 %], mean age 40.8 ± 12.1 years). Among these, 2959 were diagnosed with migraine, 3033 with TTH and 249 with pMOH (Table 3).Table 3Proportions of participants with headache reporting interictal burden, by headache type and genderHeadache typeGenderNInterictal anxietyInterictal avoidanceNot free of all symptomsMean time in interictal state n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI]days/year (mean ± SE)AllFemale4011344 (8.6) [7.7–9.5]441 (11.0) [10.0–12.0]902 (22.5) [21.2–23.8]316 ± 1Male2444157 (6.4) [5.4–7.4]227 (9.3) [8.1–10.5]575 (23.5) [21.8–25.2]All6455501 (7.8) [7.1–8.5]668 (10.3) [9.6–11.0]1478 (22.9) [21.9–23.9]MigraineFemale2042224 (11.0) [9.6–12.4]302 (14.8) [13.3–16.3]522 (25.6) [23.7–27.5]317 ± 1Male91791 (9.9) [8.0–11.8]135 (14.7) [12.4–17.0]248 (27.0) [24.1–29.9]All2959315 (10.6) [9.5–11.7]437 (14.8) [13.5–16.1]770 (26.0) [24.4–27.6]Tension–type headacheFemale165751 (3.1) [2.3–3.9]70 (4.2) [3.2–5.2]283 (17.1) [15.3–18.9]331 ± 1Male137642 (3.1) [2.2–4.0]72 (5.2) [4.0–6.4]289 (21.0) [18.8–23.2]All303393 (3.1) [2.5–3.7]142 (4.7) [3.9–5.5]572 (18.9) [17.5–20.3]Probable medication–overuse headacheFemale18853 (28.2) [21.8–34.6]58 (30.9) [24.3–37.5]76 (40.4) [33.4–47.4]120 ± 4Male6119 (31.1) [19.5–42.7]15 (24.6) [13.8–35.4]25 (41.0) [28.7–53.3]All24972 (28.9) [23.3–34.5]73 (29.3) [23.6–35.0]101 (40.6) [34.5–46.7] Proportions of participants with headache reporting interictal burden, by headache type and gender Interictal anxiety, avoidance and other interictal symptoms: Table 3 shows the proportions responding adversely to each of the three questions (see Table 2), for all participants with headache and by diagnosis and gender. It also shows, by diagnosis, the time in days/year spent with interictal burden. With regard to the episodic headaches, about one quarter (26.0 %) of participants with migraine and just under one fifth (18.9 %) with TTH reported interictal symptoms, in each case rather more males than females. Interictal anxiety was reported by about 10 % of those with migraine, avoidance by about 15 %. Both were much more common in migraine than TTH (for interictal anxiety, OR 3.8 [95 % CI: 3.0–4.8]; for avoidance, OR 3.5 [95 % CI: 2.9–4.3]). All proportions were substantially higher in pMOH: we report them in Table 3 for comparative interest, but note that, in any headache occurring on ≥15 days/month, it is not easy to discern what is ictal and what is interictal. For this reason, we present no further analyses of pMOH. About half (53.1 %) of those with migraine, and nearly three quarters (71.4 %) with TTH, were “always” or “often” in control of their headaches; on the other hand, 15.2 % with migraine and 9.6 % with TTH were “rarely” or “never” so (Table 4). Gender differences were notable in the proportions “always” in control, significantly favouring males: for migraine, chi-squared = 43.923, p < 0.0001; for TTH, chi-squared = 4.677, p = 0.0306.Table 4Proportions of participants with headache reporting degrees of control of their headaches, by headache type and genderHeadache typeGenderNIn control of headaches“Always”“Often”“Sometimes”“Rarely”“Never” n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI]MigraineFemale2042228 (11.2) [9.8–12.6]812 (39.8) [37.7–41.9]667 (32.7) [30.7–34.7]214 (10.5) [9.2–11.8]100 (4.9) [4.0–5.8]Male917187 (20.4) [17.8–23.0]344 (37.5) [34.4–40.6]243 (26.5) [23.6–29.4]80 (8.7) [6.9–10.5]56 (6.1) [4.6–7.7]All2959415 (14.0) [12.8–15.3]1156 (39.1) [37.3–40.9]910 (30.8) [29.1–32.5]294 (9.9) [8.8–11.0]157 (5.3) [4.5–6.1]Tension–type headacheFemale1657566 (34.2) [31.9–36.5]608 (36.7) [34.4–39.0]307 (18.5) [16.6–20.4]87 (5.3) [4.2–6.4]54 (3.3) [2.4–4.2]Male1376523 (38.0) [35.4–40.6]470 (34.2) [31.7–36.7]209 (15.2) [13.3–17.1]79 (5.7) [4.5–6.9]71 (5.2) [4.0–6.4]All30331089 (35.9) [34.2–37.6]1078 (35.5) [33.8–37.2]516 (17.0) [15.7–18.3]166 (5.5) [4.7–6.3]125 (4.1) [3.4–4.8] Proportions of participants with headache reporting degrees of control of their headaches, by headache type and gender We enquired into whether the probability of reporting interictal burden would increase with greater reported ictal burden (Table 5), although we did this only among those with migraine because ictal burden generally remains low in TTH. Interictal anxiety increased markedly with headache intensity and frequency, avoidance less so but still significantly. This was not the case with interictal symptoms, where increased odds of reporting were significant only among those with very high attack frequencies (>90 days/year). Those reporting poor control of their headaches had significantly raised odds of interictal anxiety, avoidance and other interictal symptoms. Lost productive time measured by the HALT index, especially lost work time, was associated with quite high odds (OR up to 5.3) of reporting interictal anxiety and avoidance, although, with increasing lost work time beyond the range 12–22 days/3 months, these odds tended to decline. With lost household work, the opposite was the case (Table 5).Table 5Probability of reporting interictal burden according to measures of ictal burden in participants with migraineIctal burden measureProbability of reporting interictal burdenOdds ratio [95 % CI]Interictal anxietyInterictal avoidanceNot free of all symptomsHeadache intensity (reference: “not bad”)“bad”2.8 [1.5–5.4]1.6 [1.1–2.4]1.1 [0.8–1.4]“very bad”7.6 [4.0–14.7]3.0 [2.0–4.6]1.3 [1.0–1.8]Headache frequency (days/year) (reference: ≤12)13–242.4 [1.5–3.7]1.6 [1.1–2.2]1.1 [0.8–1.4]25–482.5 [1.7–3.8]2.0 [1.5–2.8]1.3 [1.0–1.6]49–903.7 [2.5–5.6]2.7 [1.9–3.6]1.3 [1.0–1.6]>906.4 [4.3–9.6]2.5 [1.8–3.6]1.8 [1.3–2.3]In control of headaches (reference: “always”)“often”1.1 [0.7–1.9]1.5 [1.0–2.2]1.1 [1.1–1.9]“sometimes”3.5 [2.1–5.6]2.8 [1.9–4.1]1.9 [1.4–2.5]“rarely” or “never”4.1 [2.5–6.9]2.6 [1.7–3.9]2.5 [1.8–3.4]Lost productive time (HALT index): lost work time (days/3 months) (reference: ≤11)12–225.3 [3.6–7.9]2.9 [1.9–4.3]1.8 [1.2–2.6]23–334.2 [2.0–8.9]2.3 [1.1–5.0]1.8 [0.9–3.7]>334.2 [1.7–10.2]2.7 [1.1–6.6]1.9 [0.8–4.4]lost household time (days/3 months) (reference: ≤11)12–222.4 [1.7–3.6]2.4 [1.7–3.4]1.3 [0.9–1.8]23–333.6 [2.1–6.3]2.3 [1.3–4.0]1.8 [1.1–3.0]>335.3 [2.6–10.7]3.8 [1.9–7.6]1.7 [0.9–3.5]lost work + household time + social events (days/3 months) (reference: ≤22)23–444.1 [2.9–5.7]2.9 [2.1–4.0]1.5 [1.1–2.0]45–664.0 [2.2–7.2]2.8 [1.6–5.0]2.2 [1.3–3.6]>664.4 [2.3–8.3]2.4 [1.3–4.5]1.7 [1.0–3.1] Probability of reporting interictal burden according to measures of ictal burden in participants with migraine We wondered whether our enquiry into interictal anxiety might be influenced by general anxiety. We could test this, because our enquiry included HADS; this enabled us to compare, for prevalence of interictal anxiety, those with HADS-A scores in the normal range (<8), borderline cases (scoring 8–10) and those at or above the threshold score (11) for anxiety caseness [18]. We performed this analysis in those with migraine, in whom we found a clear gradient: 7.9 %, 10.4 % (OR 1.3 [95 % CI: 1.0–1.8]; p = 0.072) and 17.8 % (OR 2.3 [95 % CI: 1.7–3.0]; p < 0.0001) respectively. We also repeated the analysis shown in Table 3 after excluding participants with HADS-A scores ≥11 (n = 1166). All proportions with interictal symptoms were reduced, but most not by much: for example, in males with migraine, interictal anxiety was reduced from 9.9 to 7.0 % (Fisher’s exact: p = 0.0066), avoidance from 14.7 to 14.0 % (p = 0.6783); in females with migraine, interictal anxiety was reduced from 11.0 to 10.0 % (p = 0.3293), avoidance from 14.8 to 14.0 % (p = 0.5073). We did not undertake these analyses in participants with TTH because their level of interictal anxiety was so much lower, or in those with pMOH because of small numbers. Stigma and social isolation: A third of respondents (32.9 %) with migraine and a quarter (26.7 %) with TTH were reluctant to tell others of their headaches (Table 6). This difference was significant (chi-squared = 26.744; p < 0.0001). Gender differences were minor. About 10 % with each disorder felt their families and friends did not understand or accept their headaches. Nearly 12 % with migraine who were employed reported their employers and colleagues did not, but those with TTH apparently fared better (6.6 %; chi-squared = 37.962; p < 0.0001).Table 6Proportions of participants with headache responding adversely to questions on social isolation, by headache type and genderHeadache typeGenderNAvoid telling othersFamily, friends don’t understandNEmployer, colleagues don’t understand n (%) [95 % CI] n (%) [95 % CI] n (%) [95 % CI]MigraineFemale2042691 (33.8) [31.8–35.9]227 (11.1) [9.7–12.5]1723201 (11.7) [10.2–13.2]Male917282 (30.8) [27.8–33.8]76 (8.3) [6.5–10.1]75385 (11.3) [9.0–13.6]All2959973 (32.9) [31.2–34.6]303 (10.2) [9.1–11.3]2476292 (11.8) [10–5–13.1]Tension–type headacheFemale1657429 (25.9) [23.8–28.0]146 (8.8) [7.4–10.2]129874 (5.7) [4.4–7.0]Male1376382 (27.8) [25.4–30.2]142 (10.3) [8.7–11.9]108684 (7.7) [6.1–9.3]All3033811 (26.7) [25.1–28.3]288 (9.5) [8.5–10.5]2384158 (6.6) [5.6–7.6] Proportions of participants with headache responding adversely to questions on social isolation, by headache type and gender Cumulative burden: Finally we made enquiries among those with migraine about cumulative burdens. We did not conduct this analysis among those with TTH, which is less recognisably a lifelong condition. Overall, 11.8 % of participants with migraine reported that they had done less well in their education because of their headaches. The proportion was higher (14.1 %) in those aged <40 years. Reduced earnings were reported by 5.9 %, while 7.4 % believed their careers had suffered generally and they had done less well than they might, but for their headaches. A small proportion (2.1 %) had specifically taken easier jobs, and 1.4 % had taken long-term sick leave. Difficulties in love life were reported by 17.6 %, with slightly more (18.8 %) among those under 40 years and a marked gender difference (males 12.8 %, females 19.7 %). About 1 % of respondents reported having fewer children, or had avoided having children altogether, because of their migraine. Very small proportions claimed that migraine had caused marital separation (0.5 %) or divorce (0.2 %). Discussion: This was a large study of well over 6000 participants drawn from nine countries of Europe. It suffered from the limitations of the Eurolight study: it was not entirely population-based, sampling methods differed between countries (although to some extent this was a strength, since it was not a purpose to compare countries [12]), and participation rates were very low in some [19]. Nevertheless, this analysis leaves little doubt that interictal burden exists as a significant consequence of episodic headache. It is more evident in migraine than in TTH, reflecting its strong relationship with ictal burden – which is demonstrated here in several ways – but it is an important finding that it is not restricted to migraine. Avoidance, effectively meaning some degree of daily lifestyle compromise, was reported by nearly 15 % (or one in seven) with migraine compared to just under 5 % (one in 21) with TTH. Worry about the next episode was expressed by just over 10 % of those with migraine and 3 % of those with TTH. These were differences by a factor of about 3; however, while one quarter (26.0 %) of participants with migraine reported that they were not entirely free of symptoms interictally, the proportion (18.9 %) with TTH who said the same was not so much lower. Our enquiry did not extend into what the nature of these other interictal symptoms might be: this is further work to be done. Gender differences, incidentally, appeared to be minor. The main exception to this was in proportions “always” in control of their headaches, which favoured males with either migraine or TTH. The determinants of feeling in control are complex, and probably largely dependent on effectiveness of acute therapy, whereas the perception of not being in control is undoubtedly a contributor to interictal burden. Of those with migraine, 15 % were “rarely” or “never” in control, of those with TTH 10 %, without significant gender differences. Time spent in the interictal state, during which these symptoms might continuously be present, was, on average, 317 days/year in those with migraine and 331 in those with TTH. There is a conceptual issue in the estimation of total interictal burden per year as the product: [(burden assessed for a single day) x (days/year spent in interictal state)]. This works for large groups, not for individuals. By enquiring into burden on the last day without headache, we assumed this was a random day for each participant. On any such random day, a representative proportion of participants would have experienced interictal symptoms. It is not implied that interictal symptoms are present throughout the time in the interictal state in every participant who reports such symptoms (although in some they may be), but rather that the size of the proportion of people affected remains more or less constant. The randomness of this day might be questioned, since by definition it was the last day of the interictal period. Intuitively it might be expected that anxiety, at least, builds over time during this period. In fact the evidence is against this: the clear relationships between interictal symptoms and headache frequency (Table 5) indicate inverse relationships with length of interictal period. The last day without headache was also the day before the last headache. There is a possibility, therefore, that this enquiry captured premonitory symptoms, particularly the non-specific third question (“On that day, did you feel completely free from all headache-related symptoms?”). This question had the highest proportion of adverse responses (Table 3), but was least associated with headache intensity or frequency (Table 5). Time spent in the interictal state is, of course, inversely related to headache frequency. The relationship between overall interictal burden and headache frequency is likely to be complex; burden may be heavier with higher frequency, but it is not borne for so long. In migraine, there was a strong relationship between the probability of interictal anxiety and headache frequency, and a less strong relationship for avoidance. Our enquiry into anxiety (or worry) was specifically directed towards the next headache episode, and not aimed at general anxiety (which is known to be comorbid with migraine and also related to attack frequency [9, 20–22]). Perhaps not unexpectedly, we found a clear association, in migraine, between interictal worry about the next attack and general anxiety: those meeting HADS caseness criteria for anxiety [18] were more than twice as likely to report interictal anxiety as those in the normal range. This association, which was graded, suggests an aetiological relationship, but says nothing about direction of causation. It should be noted that it was much less strong than many associations between interictal anxiety and measures of ictal burden (Table 5). Furthermore, when all participants meeting HADS caseness criteria for anxiety (18.1 % of the total) were removed from the analysis, proportions among the remainder with interictal symptoms (including interictal anxiety) were reduced but not greatly. In other words, general anxiety cannot account for more than a very small part of interictal anxiety. The considerable reluctance to tell others of their headaches (one third [32.9 %] with migraine and a quarter [26.7 %] with TTH) may reflect natural reticence in discussing health issues more than stigma attaching specifically to headache. The difference between disorders was significant (p < 0.0001), whereas gender differences were minor. On the other hand, employers and colleagues appeared to be rather understanding of respondents’ headaches: 88–89 % in the case of migraine, and about 93 % in the case of TTH (which probably caused them less trouble). In fact, they were as accepting as families and friends (about 90 % with each disorder). Our enquiries into cumulative burden acknowledged an additional dimension to interictal burden, potentially very important in the context of a lifelong disorder [6, 7]. Doing less well in education because of headache was reported by 11.8 % of participants with migraine. Admittedly this might be a subjective judgment based on recall, perhaps from long ago, but 11.8 % is a large and noteworthy proportion. We could not measure the consequences of disrupted education, but they could be huge over a lifetime, and this finding is a reminder, if it is needed, of the importance of headache in childhood and adolescence. Some of the consequences were, perhaps, evident in responses to subsequent questions: reduced earnings, reported by 5.9 %; careers suffering, reported by 7.4 %. Then there were those who had effectively given up: 2.1 % who had taken an easier job, and 1.4 % on long-term sick leave – small numbers, but these outcomes represented profound consequences for these people and their dependents. Difficulties in love life were common (17.6 %), and here there was a marked gender difference (male-to-female ratio 2:3). The 1 % who had had fewer children because of their migraine reflected another profound life-affecting consequence. There are few previous studies with which to make comparisons. Boardman et al. argued that migraine pain would lead to isolation from social, emotional and behavioural aspects of life, and could greatly impact on these between attacks, being in this regard similar to other painful syndromes [23]. A Swedish study among patients in a migraine clinic revealed less contentment and vitality and poorer sleep and sense of wellbeing, coupled with more subjective symptoms in the headache-free periods, than among a population-based control group [24]. A population-based study in the same country found that only 43 % of people with migraine recovered completely between attacks [11]. This implied a far higher proportion (57 %) not free of all symptoms interictally than we found (26 %), but there was no description of what type of symptoms persisted, and some participants might have had more or less chronic headache. In a UK study, at least two thirds (66 %) of 158 hospital employees with migraine reported some form of impact between attacks, including interference with family (54 %) or work (35 %) relationships, feelings of not being in control of their lives (34 %) and damaged chances of promotion (15 %) [25]. “Not in control of lives” cannot be compared with our enquiry “not in control of headaches”, but generally these findings indicate greater interictal impact than ours. However, participation rate in the survey was 45 %, there was gender bias (93 % of the 158 were female) and, taking the nature of the population also into account, interest bias was highly likely. In these and other reports [6–9], the existence of interictal burden has clearly been recognised; in the latter, furthermore, many of its elements have been well described [6–9]. This study, however, is the first to estimate their general population prevalence. A limitation was that our questions mostly invited yes/no responses. Therefore we could capture prevalence but not magnitude. The methodology for magnitude estimation has yet to be developed: it does not exist in recommendations for burden estimation so far put forward [7]. What this study has shown is that the methodology is needed: the high prevalence of interictal burden demands it if the burden of headache is to be adequately described. Conclusions: Interictal burden in those with episodic headache is common, more so in migraine than in TTH, but, importantly, it is not restricted to those with migraine. It shows a relationship with ictal burden. Although we did not assess the magnitude of burden, some elements – in particular those that are cumulative – have the potential to be profoundly consequential. There is a need for new methodology to measure interictal burden if descriptions of headache burden are to be complete.
Background: Most primary headaches are episodic, and most estimates of the heavy disability burden attributed to headache derive from epidemiological data focused on the episodic subtypes of migraine and tension-type headache (TTH). These disorders give rise directly but intermittently to symptom burden. Nevertheless, people with these disorders may not be symptom-free between attacks. We analysed the Eurolight dataset for interictal burden. Methods: Eurolight was a cross-sectional survey using modified cluster sampling from the adult population (18-65 years) in 10 countries of the European Union. We used data from nine. The questionnaire included headache-diagnostic questions based on ICHD-II and several question sets addressing impact, including interictal and cumulative burdens. Results: There were 6455 participants with headache (male 2444 [37.9 %]). Interictal symptoms were reported by 26.0 % of those with migraine and 18.9 % with TTH: interictal anxiety by 10.6 % with migraine and avoidance (lifestyle compromise) by 14.8 %, both much more common than in TTH (3.1 % [OR 3.8] and 4.7 % [OR 3.5] respectively). Mean time spent in the interictal state was 317 days/year for migraine, 331 days/year for TTH. Those who were "rarely" or "never" in control of their headaches (migraine 15.2 %, TTH 9.6 %) had significantly raised odds of interictal anxiety, avoidance and other interictal symptoms. Among those with migraine, interictal anxiety increased markedly with headache intensity and frequency, avoidance less so but still significantly. Lost productive time was associated with high ORs (up to 5.3) of anxiety and avoidance. A third (32.9 %) with migraine and a quarter (26.7 %) with TTH (difference: p < 0.0001) were reluctant to tell others of their headaches. About 10 % with each disorder felt families and friends did not understand their headaches. Nearly 12 % with migraine reported their employers and colleagues did not. Regarding cumulative burden, 11.8 % reported they had done less well in education because of headache, 5.9 % reported reduced earnings and 7.4 % that their careers had suffered. Conclusions: Interictal burden in those with episodic headache is common, more so in migraine than TTH. Some elements have the potential to be profoundly consequential. New methodology is needed to measure interictal burden if descriptions of headache burden are to be complete.
Background: Headache disorders, especially tension-type headache (TTH) and migraine, are extremely common [1]. From a public-health perspective, and also from the viewpoint of affected people, they are also among the most disabling: migraine is the sixth highest cause in the world of years of healthy life lost to disability (YLDs), and headache disorders collectively are third, according to the Global Burden of Disease Study 2013 (GBD2013) [2, 3]. Various causes of headache occurring on ≥15 days every month affect 2–4 % of the world’s adult population [4]. Among these, medication-overuse headache (MOH) affects 1–2 % [5], and this disorder is itself among the top 20 causes (18th) of YLDs [2, 3]. Nevertheless, most primary headaches are episodic, and most of the disability burden attributed to headache in GBD2013 was based on epidemiological data focused on the episodic subtypes of migraine and TTH. These disorders give rise directly, but intermittently, to symptom burden: pain, often accompanied in the case of migraine by nausea, vomiting and photo- and/or phonophobia. All of these tend to cause debility, prostration and reduced functional ability, a secondary disability burden which is the principal cause of YLDs and consequential lost productivity. This ictal burden is easily conceptualised; but it has long been recognised that people with episodic headache may not be entirely symptom-free between attacks [6, 7]. There are good reasons for this. Since headache attacks are unpleasant, people who experience them wish not to do so. Those in whom they occur frequently are very likely to worry about when the next may happen, and in some this can reach a level of anxiety. More commonly it may provoke avoidance behaviour, particularly among those with migraine who identify triggers and endeavour to eliminate them by lifestyle compromise. Sensible this may be, but too much lifestyle compromise may take the pleasure out of life. An example given by Stovner et al. was this: “Leisure activities may be cancelled or curtailed because of headache; when many have been cancelled, social events are likely not to be planned in the first place. Social life between attacks may simply cease” [7]. These are elements of interictal burden. The health and wellbeing importance of interictal burden lies in its continuity. Whereas the ictal burden of episodic headache is typically present during only one or two days in every month, interictal burden can impose itself on all of the other days. This means two things. First, interictal burden ought not to be ignored: the burden of headache is very poorly described if it does not take interictal burden into account. Second, if interictal burden is overestimated, then multiplied by time, quantification of overall burden is likely to be greatly distorted. GBD2010 described distinct ictal and interictal health states associated with both migraine and TTH, and allocated disability weights (DWs) to each, but the interictal DWs and burden estimates arising from them were not reported [1], probably for this reason. In fact there is little empirical knowledge about interictal burden. Furthermore, while it has been described [6–10], it has no accepted definition. A single Swedish study has made a population-based estimate of prevalence [11], but this described only the proportion of people with migraine (43 %) who recovered completely between attacks. There are no published studies that have estimated magnitude. We may assume that significant relationships exist between interictal burden and the behaviour, performance, productivity, family life and social activities of those affected, but no data exist to confirm these. The Eurolight project, supported by the European Commission Public Health Executive Agency, was a partnership activity within the Global Campaign against Headache. Its main purpose was to gather knowledge of the impact of headache disorders of public-health importance across Europe. Its questionnaire included a number of question sets designed to capture elements of headache-attributed burden, among which were those likely to be experienced interictally. We analysed the Eurolight dataset accordingly, and report our findings here. Our working definition of interictal burden was: “Any loss of health or wellbeing attributable to a headache disorder reportedly experienced while headache-free.” It has multiple components [10]; those addressed by the Eurolight questionnaire included interictal anxiety, avoidance behaviour and non-headache symptoms; perceptions of poor headache control, stigma and social isolation; and the cumulative burdens engendered by disturbed education, lost career opportunities and damaged family life. Conclusions: Interictal burden in those with episodic headache is common, more so in migraine than in TTH, but, importantly, it is not restricted to those with migraine. It shows a relationship with ictal burden. Although we did not assess the magnitude of burden, some elements – in particular those that are cumulative – have the potential to be profoundly consequential. There is a need for new methodology to measure interictal burden if descriptions of headache burden are to be complete.
Background: Most primary headaches are episodic, and most estimates of the heavy disability burden attributed to headache derive from epidemiological data focused on the episodic subtypes of migraine and tension-type headache (TTH). These disorders give rise directly but intermittently to symptom burden. Nevertheless, people with these disorders may not be symptom-free between attacks. We analysed the Eurolight dataset for interictal burden. Methods: Eurolight was a cross-sectional survey using modified cluster sampling from the adult population (18-65 years) in 10 countries of the European Union. We used data from nine. The questionnaire included headache-diagnostic questions based on ICHD-II and several question sets addressing impact, including interictal and cumulative burdens. Results: There were 6455 participants with headache (male 2444 [37.9 %]). Interictal symptoms were reported by 26.0 % of those with migraine and 18.9 % with TTH: interictal anxiety by 10.6 % with migraine and avoidance (lifestyle compromise) by 14.8 %, both much more common than in TTH (3.1 % [OR 3.8] and 4.7 % [OR 3.5] respectively). Mean time spent in the interictal state was 317 days/year for migraine, 331 days/year for TTH. Those who were "rarely" or "never" in control of their headaches (migraine 15.2 %, TTH 9.6 %) had significantly raised odds of interictal anxiety, avoidance and other interictal symptoms. Among those with migraine, interictal anxiety increased markedly with headache intensity and frequency, avoidance less so but still significantly. Lost productive time was associated with high ORs (up to 5.3) of anxiety and avoidance. A third (32.9 %) with migraine and a quarter (26.7 %) with TTH (difference: p < 0.0001) were reluctant to tell others of their headaches. About 10 % with each disorder felt families and friends did not understand their headaches. Nearly 12 % with migraine reported their employers and colleagues did not. Regarding cumulative burden, 11.8 % reported they had done less well in education because of headache, 5.9 % reported reduced earnings and 7.4 % that their careers had suffered. Conclusions: Interictal burden in those with episodic headache is common, more so in migraine than TTH. Some elements have the potential to be profoundly consequential. New methodology is needed to measure interictal burden if descriptions of headache burden are to be complete.
11,443
461
[ 169, 70, 359, 1300, 298, 221 ]
11
[ "interictal", "headache", "migraine", "burden", "10", "11", "participants", "tth", "anxiety", "95" ]
[ "headache disorders", "migraine cumulative burdens", "migraineictal burden", "chronic headache uk", "headaches episodic disability" ]
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[CONTENT] Headache | Migraine | Tension-type headache | Interictal burden | Public health | Europe | Eurolight project | Global Campaign against Headache [SUMMARY]
null
[CONTENT] Headache | Migraine | Tension-type headache | Interictal burden | Public health | Europe | Eurolight project | Global Campaign against Headache [SUMMARY]
[CONTENT] Headache | Migraine | Tension-type headache | Interictal burden | Public health | Europe | Eurolight project | Global Campaign against Headache [SUMMARY]
[CONTENT] Headache | Migraine | Tension-type headache | Interictal burden | Public health | Europe | Eurolight project | Global Campaign against Headache [SUMMARY]
[CONTENT] Headache | Migraine | Tension-type headache | Interictal burden | Public health | Europe | Eurolight project | Global Campaign against Headache [SUMMARY]
[CONTENT] Adult | Cost of Illness | Cross-Sectional Studies | European Union | Female | Humans | Male | Middle Aged | Migraine Disorders | Tension-Type Headache [SUMMARY]
null
[CONTENT] Adult | Cost of Illness | Cross-Sectional Studies | European Union | Female | Humans | Male | Middle Aged | Migraine Disorders | Tension-Type Headache [SUMMARY]
[CONTENT] Adult | Cost of Illness | Cross-Sectional Studies | European Union | Female | Humans | Male | Middle Aged | Migraine Disorders | Tension-Type Headache [SUMMARY]
[CONTENT] Adult | Cost of Illness | Cross-Sectional Studies | European Union | Female | Humans | Male | Middle Aged | Migraine Disorders | Tension-Type Headache [SUMMARY]
[CONTENT] Adult | Cost of Illness | Cross-Sectional Studies | European Union | Female | Humans | Male | Middle Aged | Migraine Disorders | Tension-Type Headache [SUMMARY]
[CONTENT] headache disorders | migraine cumulative burdens | migraineictal burden | chronic headache uk | headaches episodic disability [SUMMARY]
null
[CONTENT] headache disorders | migraine cumulative burdens | migraineictal burden | chronic headache uk | headaches episodic disability [SUMMARY]
[CONTENT] headache disorders | migraine cumulative burdens | migraineictal burden | chronic headache uk | headaches episodic disability [SUMMARY]
[CONTENT] headache disorders | migraine cumulative burdens | migraineictal burden | chronic headache uk | headaches episodic disability [SUMMARY]
[CONTENT] headache disorders | migraine cumulative burdens | migraineictal burden | chronic headache uk | headaches episodic disability [SUMMARY]
[CONTENT] interictal | headache | migraine | burden | 10 | 11 | participants | tth | anxiety | 95 [SUMMARY]
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[CONTENT] interictal | headache | migraine | burden | 10 | 11 | participants | tth | anxiety | 95 [SUMMARY]
[CONTENT] interictal | headache | migraine | burden | 10 | 11 | participants | tth | anxiety | 95 [SUMMARY]
[CONTENT] interictal | headache | migraine | burden | 10 | 11 | participants | tth | anxiety | 95 [SUMMARY]
[CONTENT] interictal | headache | migraine | burden | 10 | 11 | participants | tth | anxiety | 95 [SUMMARY]
[CONTENT] burden | headache | interictal | health | interictal burden | disorders | disability | attacks | likely | life [SUMMARY]
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[CONTENT] interictal | ci | 95 ci | 10 | 11 | 95 | 23 | anxiety | reporting | headache [SUMMARY]
[CONTENT] burden | restricted migraine shows | interictal burden episodic | consequential need | particular cumulative potential profoundly | profoundly consequential need new | profoundly consequential need | profoundly consequential | particular cumulative potential | interictal burden episodic headache [SUMMARY]
[CONTENT] interictal | headache | burden | migraine | 10 | 11 | ci | 95 ci | 95 | anxiety [SUMMARY]
[CONTENT] interictal | headache | burden | migraine | 10 | 11 | ci | 95 ci | 95 | anxiety [SUMMARY]
[CONTENT] TTH ||| ||| ||| Eurolight [SUMMARY]
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[CONTENT] 6455 | 2444 ||| 37.9 % ||| 26.0 % | 18.9 % | TTH | 10.6 % | 14.8 % | TTH | 3.1 % | 3.8 | 4.7 % | 3.5 ||| 317 days/year | 331 days/year | TTH ||| 15.2 % | TTH | 9.6 % ||| ||| up to 5.3 ||| A third | 32.9 % | a quarter | 26.7 % | TTH | 0.0001 ||| About 10 % ||| Nearly 12 % ||| 11.8 % | 5.9 % | 7.4 % [SUMMARY]
[CONTENT] TTH ||| ||| [SUMMARY]
[CONTENT] TTH ||| ||| ||| Eurolight ||| 18-65 years | 10 | the European Union ||| nine ||| ICHD-II ||| 6455 | 2444 ||| 37.9 % ||| 26.0 % | 18.9 % | TTH | 10.6 % | 14.8 % | TTH | 3.1 % | 3.8 | 4.7 % | 3.5 ||| 317 days/year | 331 days/year | TTH ||| 15.2 % | TTH | 9.6 % ||| ||| up to 5.3 ||| A third | 32.9 % | a quarter | 26.7 % | TTH | 0.0001 ||| About 10 % ||| Nearly 12 % ||| 11.8 % | 5.9 % | 7.4 % ||| TTH ||| ||| [SUMMARY]
[CONTENT] TTH ||| ||| ||| Eurolight ||| 18-65 years | 10 | the European Union ||| nine ||| ICHD-II ||| 6455 | 2444 ||| 37.9 % ||| 26.0 % | 18.9 % | TTH | 10.6 % | 14.8 % | TTH | 3.1 % | 3.8 | 4.7 % | 3.5 ||| 317 days/year | 331 days/year | TTH ||| 15.2 % | TTH | 9.6 % ||| ||| up to 5.3 ||| A third | 32.9 % | a quarter | 26.7 % | TTH | 0.0001 ||| About 10 % ||| Nearly 12 % ||| 11.8 % | 5.9 % | 7.4 % ||| TTH ||| ||| [SUMMARY]
Successful limb salvage in progressive proximal tibia osteosarcoma following denosumab chemotherapy: A case report.
35905210
Osteosarcoma (OS) is a primary malignant bone tumor that originates in the mesenchymal tissue. It is the most common type of pleomorphic tumor occurring in children and adolescents. Currently, there is no established systematic treatment for OS that progresses during standard preoperative chemotherapy.
RATIONALE
We describe a 14-year-old male patient with a 4-month history of pain in the upper right leg. Based on the results of percutaneous biopsy, a diagnosis of OS was made. After admission, the patient was treated with first-line chemotherapy agents. After a single course of treatment, the tumor progressed locally and no limb salvage was feasible.
PATIENT CONCERNS AND DIAGNOSES
Intervention with denosumab combined with chemotherapy led to a significant reduction in tumor volume and ossification of soft tissue, which successfully resulted in limb salvage rather than amputation. The patient showed no evidence of recurrent or distant metastasis at 6-month follow-up.
INTERVENTIONS AND OUTCOMES
Treatment with receptor activator of nuclear factor-ĸB ligand inhibitor denosumab combined with standard chemotherapy is effective for advanced OS progressing after chemotherapy. We recommend denosumab therapy for successful limb salvage in patients with high-grade OS associated with osteolytic bone destruction and refractory to preoperative neoadjuvant chemotherapy.
LESSONS
[ "Adolescent", "Bone Neoplasms", "Child", "Denosumab", "Humans", "Limb Salvage", "Male", "Osteosarcoma", "Tibia", "Treatment Outcome" ]
9333532
1. Introduction
Osteosarcoma (OS) is the most common type of primary malignant bone tumor in younger individuals. The pathophysiology of OS is characterized by inactivation of retinoblastoma and/or p53 tumor suppressor genes.[1] Curative treatment for high-grade OS entails surgery of the primary tumor and chemotherapy in order to facilitate limb salvage and extend disease-free survival.[2] Doxorubin, cisplatinum, high-dose methotrexate, and ifosfamide are considered the most active agents against OS. Several studies reported that the combination of chemotherapy and surgery increase the long-term survival rates above 70% and is widely accepted by physicians and patients.[3] It is crucial to identify and validate new agents that might be administered alone or as adjuvants to conventional chemotherapy to improve not only patients’ chances of survival and cure but also their quality of life.[4] In recent years, some primary bone tumors have been identified as new therapeutic targets for denosumab, particularly those expressing the receptor activator of nuclear factor-ĸB ligand (RANKL) and those involving osteoclast-mediated bone resorption. We report a 14-year-old male with proximal tibia OS who achieved successful limb salvage following treatment with denosumab combined with neoadjuvant chemotherapy. Also, we discuss the relevant clinicopathology, diagnosis, and treatment following the patient’s informed consent.
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[ "Author contributions" ]
[ "Q.C. did the study, analyzed the data, and wrote the manuscript.\nJ.W. measured the tumor circumference, K.Z., M.X., Z.H., and X.Y. were involved in the design, data management, and analysis of the study. All authors read and approved the final manuscript.\nInvestigation: Q.C. and J.W.\nSupervision: K.Z., M.X., Z.H., and X.Y.\nWriting—original draft: Q.C.\nWriting—review and editing: Q.C." ]
[ null ]
[ "1. Introduction", "2. Case presentation", "3. Discussion", "Author contributions" ]
[ "Osteosarcoma (OS) is the most common type of primary malignant bone tumor in younger individuals. The pathophysiology of OS is characterized by inactivation of retinoblastoma and/or p53 tumor suppressor genes.[1] Curative treatment for high-grade OS entails surgery of the primary tumor and chemotherapy in order to facilitate limb salvage and extend disease-free survival.[2] Doxorubin, cisplatinum, high-dose methotrexate, and ifosfamide are considered the most active agents against OS. Several studies reported that the combination of chemotherapy and surgery increase the long-term survival rates above 70% and is widely accepted by physicians and patients.[3] It is crucial to identify and validate new agents that might be administered alone or as adjuvants to conventional chemotherapy to improve not only patients’ chances of survival and cure but also their quality of life.[4]\nIn recent years, some primary bone tumors have been identified as new therapeutic targets for denosumab, particularly those expressing the receptor activator of nuclear factor-ĸB ligand (RANKL) and those involving osteoclast-mediated bone resorption. We report a 14-year-old male with proximal tibia OS who achieved successful limb salvage following treatment with denosumab combined with neoadjuvant chemotherapy. Also, we discuss the relevant clinicopathology, diagnosis, and treatment following the patient’s informed consent.", "A 14-year-old healthy male reported no obvious cause of pain involving his upper right leg in March 2021. At first, the pain was aggravated during activity and relieved at rest, accompanied by local swelling. After discussion with his family, imaging procedures and percutaneous biopsy were performed in April 2021. The pathology report showed telangiectatic OS. The patient refused surgical treatment and instead managed with traditional Chinese medicine and needles, without any efficacy. The tumor volume increased gradually. The patient was referred to our hospital for systematic treatment. Physical examination revealed a swollen proximal right leg. The eye of the puncture needle was visible; however, no change in skin color or superficial veins was seen. A palpable 10 × 8 × 3 cm firm mass was detected on his right leg, with elevation in local skin temperature, obvious tenderness, and no range of motion. Flexion and extension of the right knee joint were obviously limited by pain, and the maximum circumference of the tumor surface on the right was thicker than on the left side (Fig. 1A). Plain radiography of the right tibia and fibula showed swelling, irregular osteolytic bone destruction and soft tissue mass, uneven density, scattered irregular strips of tumor bone shadow, with associated bone cortical interruption and obvious periosteal reaction (Fig. 2A). Because of the pain and the large size of the tumor, the patient maintained a forced flexion position after admission and was not screened via magnetic resonance imaging. Computed tomography (CT) of the chest showed no evidence of pulmonary metastasis.\nThe maximum diameter of right leg tumor measured before chemotherapy was 44.2 cm (A), increasing to 44.5 cm after the first course of neoadjuvant chemotherapy (B). The diameter after the first dose of denosumab was 44.1 cm (C), 39.3 cm after the second dose of denosumab (D), and 39.0 cm after the third dose of denosumab (E). The circumference measured again before operation was 38.3 cm (F).\nPlain radiograph: Before chemotherapy, the density of the proximal right tibia decreased, with a huge soft tissue mass surrounding it and an unclear boundary (A). The soft tissue volume was significantly reduced and the calcification was obvious after the addition of denosumab (B and C). Computed tomography images before (D) and 3 times after the administration of denosumab combined with chemotherapy (E).\nThe patient was diagnosed with stage II B OS based on surgical staging system recommended for bone and soft tissue tumors. Overcoming chemotherapy taboos, the patient received a single neoadjuvant chemotherapy DIA regimen comprising cisplatin 120 mg/m2 for 1 day, doxorubicin liposome 60 mg/m2 for 1 day, and ifosfamide 2 g/m2 for 5 days. The maximum circumference of the tumor surface on the right proximal tibia was thicker than before chemotherapy (Fig. 1B). The tumor showed progression and no limb salvage was possible. Based on the imaging findings of osteolytic bone destruction, denosumab therapy was considered as it inhibits osteolysis and has been cleared by FDA for use in various conditions. Two weeks later, a decision was made to try DIA regimen combined with denosumab (120 mg, days 1, 8, and 15), in an effort to achieve limb salvage. Medications were routinely supplemented with vitamin D3 (600 µg daily). The patient had no side effects or complications. The maximum circumference of the right tumor measured again after each denosumab administration was smaller than that after the first course of neoadjuvant chemotherapy (Fig. 1C through F). Preoperative plain radiographs (Fig. 2B, C) and CT (Fig. 2E) showed that the volume of soft tissue mass was significantly reduced. Soft tissue and medullary calcification and ossification were found. Magnetic resonance imaging (Fig. 2F) revealed irregular polycystic expansive bone destruction in the metaphysis of the right tibia, without breaking through the epiphyseal plate. Excluding invasion of the surrounding soft tissue and capsule formation, a clear boundary and absence of adhesion to peripheral nerves and vessels were detected, which facilitated limb salvage surgery. In the junction area, the images showed circular and flaky isometry on T1 images and slightly longer on T2. On September 14, 2021, resection of the tumor and prosthesis reconstruction in the right proximal tibia was performed (Fig. 3A). The surgery was successful and the incision healed well (Fig. 4A). Postoperative pathology confirmed OS and a large necrotic tumor, along with degenerative malignant tumor cells in medullary cavity tissue, bone cortex, and extraosseous soft tissues. No tumor was found at the broken end (Fig. 3D). After 3 weeks, postoperative chemotherapy was performed sequentially (the dose and regime of chemotherapeutic drugs were the same as before operation) and functional exercise of the right lower limb was performed. Notably, denosumab was not added again during postoperative chemotherapy.\nIntraoperatively, the tumor tissue was completely resected and the major neuro-vascular bundles and muscles were preserved, and no amputation was performed (A). Completely resected tumor tissue (B). Incised specimen tissue (C). The pathology results showed the presence of degenerative malignant tumor cells in all the tissues (D) (HE, ×100).\nThe incision healed well after operation (A). The function and activity of the right knee joint are basically normal (B). The postoperative plain radiograph showed good prothesis location without loosening; the small head of the right fibula was absent, and the length of both lower limbs was basically the same (C).\nSix months after the operation, a total of 6 courses of adjuvant chemotherapy with DIA regimen were completed at an interval of 3 weeks. The patient’s Musculoskeletal Tumor Society score was 27 (Fig. 4B). The patient had no evidence of recurrent or distant metastasis based on CT of the chest. The postoperative plain radiography showed that the prothesis was in good position (Fig. 4C).", "According to the 2020 NCCN classical OS diagnosis and treatment guidelines, successful limb salvage surgery is based on safe surgical boundaries and good chemical reactions. Amputation is recommended (level 1) for patients undergoing preoperative neoadjuvant chemotherapy with unclear tumor boundaries and invasion of blood vessels and nerves. Studies have reported that the expression of RANKL in OS ranges from 8.8% to 75%.[5–7] In the study of Bago-Horvath et al and Mori et al,[7,8] a positive expression of RANK in OS was detected in 57% and 69% of patients, respectively. RANKL is a key factor that is required for osteoclast differentiation and activation.[9] Some studies involving OS animal models[10] have shown that anti-RANKL agents can effectively decrease tumor growth, improve survival and inhibit lung metastasis. Branstetter et al[5] reported that anti-RANKL therapy may prevent osteolytic bone destruction in OS. A phase II study investigated denosumab alone in patients with relapsing/refractory OS was inadequate in this setting.[9] In patients who are nonresponders to conventional chemotherapy, combining neoadjuvant chemotherapy regimens with targeted agents, such as RANKL-directed antibodies might improve survival.[9] Denosumab is a human monoclonal antibody that inhibits bone resorption, increases new bone formation and delays tumor progression by binding to RANKL and preventing its interaction with RANK, thus mimicking the action of osteoprotegerin.\nPunzo et al[11] discouraged the use of denosumab in addition to conventional chemotherapy in OS, when used in combination with doxorubin, since it reduces its activity and probably inhibits the efficacy of the chemotherapy drug. However, the study did not classify the cases of standard OS based on imaging criteria, suggesting obvious limitations.\nThe imaging examination of the 14-year-old patient reported in our study showed that the lesion area of the proximal tibia was dominated by osteolytic bone destruction, which was mediated by the combination of RANKL and RANK. The binding of RANKL to RANK triggers osteoclast activation, which disrupts the balance of ecological environment in bone, and consequently prevents bone resorption and osteolysis. The results of preoperative plain radiograph reveal a time lag in osteogenesis after the application of denosumab. Given the limitations of a case report, a large number of clinical trials are needed to validate this phenomenon.\nTo our knowledge, no published reports are available to demonstrate successful limb salvage in OS with the addition of denosumab combined with first-line chemotherapy to achieve tumor progression during neoadjuvant chemotherapy. Therefore, for patients with high-grade OS associated with mainly osteolytic bone destruction based on imaging findings and the progress of preoperative neoadjuvant chemotherapy, denosumab can be used as a new agent in limb salvage surgery.\nAuthor contributions Q.C. did the study, analyzed the data, and wrote the manuscript.\nJ.W. measured the tumor circumference, K.Z., M.X., Z.H., and X.Y. were involved in the design, data management, and analysis of the study. All authors read and approved the final manuscript.\nInvestigation: Q.C. and J.W.\nSupervision: K.Z., M.X., Z.H., and X.Y.\nWriting—original draft: Q.C.\nWriting—review and editing: Q.C.\nQ.C. did the study, analyzed the data, and wrote the manuscript.\nJ.W. measured the tumor circumference, K.Z., M.X., Z.H., and X.Y. were involved in the design, data management, and analysis of the study. All authors read and approved the final manuscript.\nInvestigation: Q.C. and J.W.\nSupervision: K.Z., M.X., Z.H., and X.Y.\nWriting—original draft: Q.C.\nWriting—review and editing: Q.C.", "Q.C. did the study, analyzed the data, and wrote the manuscript.\nJ.W. measured the tumor circumference, K.Z., M.X., Z.H., and X.Y. were involved in the design, data management, and analysis of the study. All authors read and approved the final manuscript.\nInvestigation: Q.C. and J.W.\nSupervision: K.Z., M.X., Z.H., and X.Y.\nWriting—original draft: Q.C.\nWriting—review and editing: Q.C." ]
[ "intro", "cases", "discussion", null ]
[ "chemotherapy", "denosumab", "osteosarcoma", "RANK", "RANKL" ]
1. Introduction: Osteosarcoma (OS) is the most common type of primary malignant bone tumor in younger individuals. The pathophysiology of OS is characterized by inactivation of retinoblastoma and/or p53 tumor suppressor genes.[1] Curative treatment for high-grade OS entails surgery of the primary tumor and chemotherapy in order to facilitate limb salvage and extend disease-free survival.[2] Doxorubin, cisplatinum, high-dose methotrexate, and ifosfamide are considered the most active agents against OS. Several studies reported that the combination of chemotherapy and surgery increase the long-term survival rates above 70% and is widely accepted by physicians and patients.[3] It is crucial to identify and validate new agents that might be administered alone or as adjuvants to conventional chemotherapy to improve not only patients’ chances of survival and cure but also their quality of life.[4] In recent years, some primary bone tumors have been identified as new therapeutic targets for denosumab, particularly those expressing the receptor activator of nuclear factor-ĸB ligand (RANKL) and those involving osteoclast-mediated bone resorption. We report a 14-year-old male with proximal tibia OS who achieved successful limb salvage following treatment with denosumab combined with neoadjuvant chemotherapy. Also, we discuss the relevant clinicopathology, diagnosis, and treatment following the patient’s informed consent. 2. Case presentation: A 14-year-old healthy male reported no obvious cause of pain involving his upper right leg in March 2021. At first, the pain was aggravated during activity and relieved at rest, accompanied by local swelling. After discussion with his family, imaging procedures and percutaneous biopsy were performed in April 2021. The pathology report showed telangiectatic OS. The patient refused surgical treatment and instead managed with traditional Chinese medicine and needles, without any efficacy. The tumor volume increased gradually. The patient was referred to our hospital for systematic treatment. Physical examination revealed a swollen proximal right leg. The eye of the puncture needle was visible; however, no change in skin color or superficial veins was seen. A palpable 10 × 8 × 3 cm firm mass was detected on his right leg, with elevation in local skin temperature, obvious tenderness, and no range of motion. Flexion and extension of the right knee joint were obviously limited by pain, and the maximum circumference of the tumor surface on the right was thicker than on the left side (Fig. 1A). Plain radiography of the right tibia and fibula showed swelling, irregular osteolytic bone destruction and soft tissue mass, uneven density, scattered irregular strips of tumor bone shadow, with associated bone cortical interruption and obvious periosteal reaction (Fig. 2A). Because of the pain and the large size of the tumor, the patient maintained a forced flexion position after admission and was not screened via magnetic resonance imaging. Computed tomography (CT) of the chest showed no evidence of pulmonary metastasis. The maximum diameter of right leg tumor measured before chemotherapy was 44.2 cm (A), increasing to 44.5 cm after the first course of neoadjuvant chemotherapy (B). The diameter after the first dose of denosumab was 44.1 cm (C), 39.3 cm after the second dose of denosumab (D), and 39.0 cm after the third dose of denosumab (E). The circumference measured again before operation was 38.3 cm (F). Plain radiograph: Before chemotherapy, the density of the proximal right tibia decreased, with a huge soft tissue mass surrounding it and an unclear boundary (A). The soft tissue volume was significantly reduced and the calcification was obvious after the addition of denosumab (B and C). Computed tomography images before (D) and 3 times after the administration of denosumab combined with chemotherapy (E). The patient was diagnosed with stage II B OS based on surgical staging system recommended for bone and soft tissue tumors. Overcoming chemotherapy taboos, the patient received a single neoadjuvant chemotherapy DIA regimen comprising cisplatin 120 mg/m2 for 1 day, doxorubicin liposome 60 mg/m2 for 1 day, and ifosfamide 2 g/m2 for 5 days. The maximum circumference of the tumor surface on the right proximal tibia was thicker than before chemotherapy (Fig. 1B). The tumor showed progression and no limb salvage was possible. Based on the imaging findings of osteolytic bone destruction, denosumab therapy was considered as it inhibits osteolysis and has been cleared by FDA for use in various conditions. Two weeks later, a decision was made to try DIA regimen combined with denosumab (120 mg, days 1, 8, and 15), in an effort to achieve limb salvage. Medications were routinely supplemented with vitamin D3 (600 µg daily). The patient had no side effects or complications. The maximum circumference of the right tumor measured again after each denosumab administration was smaller than that after the first course of neoadjuvant chemotherapy (Fig. 1C through F). Preoperative plain radiographs (Fig. 2B, C) and CT (Fig. 2E) showed that the volume of soft tissue mass was significantly reduced. Soft tissue and medullary calcification and ossification were found. Magnetic resonance imaging (Fig. 2F) revealed irregular polycystic expansive bone destruction in the metaphysis of the right tibia, without breaking through the epiphyseal plate. Excluding invasion of the surrounding soft tissue and capsule formation, a clear boundary and absence of adhesion to peripheral nerves and vessels were detected, which facilitated limb salvage surgery. In the junction area, the images showed circular and flaky isometry on T1 images and slightly longer on T2. On September 14, 2021, resection of the tumor and prosthesis reconstruction in the right proximal tibia was performed (Fig. 3A). The surgery was successful and the incision healed well (Fig. 4A). Postoperative pathology confirmed OS and a large necrotic tumor, along with degenerative malignant tumor cells in medullary cavity tissue, bone cortex, and extraosseous soft tissues. No tumor was found at the broken end (Fig. 3D). After 3 weeks, postoperative chemotherapy was performed sequentially (the dose and regime of chemotherapeutic drugs were the same as before operation) and functional exercise of the right lower limb was performed. Notably, denosumab was not added again during postoperative chemotherapy. Intraoperatively, the tumor tissue was completely resected and the major neuro-vascular bundles and muscles were preserved, and no amputation was performed (A). Completely resected tumor tissue (B). Incised specimen tissue (C). The pathology results showed the presence of degenerative malignant tumor cells in all the tissues (D) (HE, ×100). The incision healed well after operation (A). The function and activity of the right knee joint are basically normal (B). The postoperative plain radiograph showed good prothesis location without loosening; the small head of the right fibula was absent, and the length of both lower limbs was basically the same (C). Six months after the operation, a total of 6 courses of adjuvant chemotherapy with DIA regimen were completed at an interval of 3 weeks. The patient’s Musculoskeletal Tumor Society score was 27 (Fig. 4B). The patient had no evidence of recurrent or distant metastasis based on CT of the chest. The postoperative plain radiography showed that the prothesis was in good position (Fig. 4C). 3. Discussion: According to the 2020 NCCN classical OS diagnosis and treatment guidelines, successful limb salvage surgery is based on safe surgical boundaries and good chemical reactions. Amputation is recommended (level 1) for patients undergoing preoperative neoadjuvant chemotherapy with unclear tumor boundaries and invasion of blood vessels and nerves. Studies have reported that the expression of RANKL in OS ranges from 8.8% to 75%.[5–7] In the study of Bago-Horvath et al and Mori et al,[7,8] a positive expression of RANK in OS was detected in 57% and 69% of patients, respectively. RANKL is a key factor that is required for osteoclast differentiation and activation.[9] Some studies involving OS animal models[10] have shown that anti-RANKL agents can effectively decrease tumor growth, improve survival and inhibit lung metastasis. Branstetter et al[5] reported that anti-RANKL therapy may prevent osteolytic bone destruction in OS. A phase II study investigated denosumab alone in patients with relapsing/refractory OS was inadequate in this setting.[9] In patients who are nonresponders to conventional chemotherapy, combining neoadjuvant chemotherapy regimens with targeted agents, such as RANKL-directed antibodies might improve survival.[9] Denosumab is a human monoclonal antibody that inhibits bone resorption, increases new bone formation and delays tumor progression by binding to RANKL and preventing its interaction with RANK, thus mimicking the action of osteoprotegerin. Punzo et al[11] discouraged the use of denosumab in addition to conventional chemotherapy in OS, when used in combination with doxorubin, since it reduces its activity and probably inhibits the efficacy of the chemotherapy drug. However, the study did not classify the cases of standard OS based on imaging criteria, suggesting obvious limitations. The imaging examination of the 14-year-old patient reported in our study showed that the lesion area of the proximal tibia was dominated by osteolytic bone destruction, which was mediated by the combination of RANKL and RANK. The binding of RANKL to RANK triggers osteoclast activation, which disrupts the balance of ecological environment in bone, and consequently prevents bone resorption and osteolysis. The results of preoperative plain radiograph reveal a time lag in osteogenesis after the application of denosumab. Given the limitations of a case report, a large number of clinical trials are needed to validate this phenomenon. To our knowledge, no published reports are available to demonstrate successful limb salvage in OS with the addition of denosumab combined with first-line chemotherapy to achieve tumor progression during neoadjuvant chemotherapy. Therefore, for patients with high-grade OS associated with mainly osteolytic bone destruction based on imaging findings and the progress of preoperative neoadjuvant chemotherapy, denosumab can be used as a new agent in limb salvage surgery. Author contributions Q.C. did the study, analyzed the data, and wrote the manuscript. J.W. measured the tumor circumference, K.Z., M.X., Z.H., and X.Y. were involved in the design, data management, and analysis of the study. All authors read and approved the final manuscript. Investigation: Q.C. and J.W. Supervision: K.Z., M.X., Z.H., and X.Y. Writing—original draft: Q.C. Writing—review and editing: Q.C. Q.C. did the study, analyzed the data, and wrote the manuscript. J.W. measured the tumor circumference, K.Z., M.X., Z.H., and X.Y. were involved in the design, data management, and analysis of the study. All authors read and approved the final manuscript. Investigation: Q.C. and J.W. Supervision: K.Z., M.X., Z.H., and X.Y. Writing—original draft: Q.C. Writing—review and editing: Q.C. Author contributions: Q.C. did the study, analyzed the data, and wrote the manuscript. J.W. measured the tumor circumference, K.Z., M.X., Z.H., and X.Y. were involved in the design, data management, and analysis of the study. All authors read and approved the final manuscript. Investigation: Q.C. and J.W. Supervision: K.Z., M.X., Z.H., and X.Y. Writing—original draft: Q.C. Writing—review and editing: Q.C.
Background: Osteosarcoma (OS) is a primary malignant bone tumor that originates in the mesenchymal tissue. It is the most common type of pleomorphic tumor occurring in children and adolescents. Currently, there is no established systematic treatment for OS that progresses during standard preoperative chemotherapy. Methods: We describe a 14-year-old male patient with a 4-month history of pain in the upper right leg. Based on the results of percutaneous biopsy, a diagnosis of OS was made. After admission, the patient was treated with first-line chemotherapy agents. After a single course of treatment, the tumor progressed locally and no limb salvage was feasible. Results: Intervention with denosumab combined with chemotherapy led to a significant reduction in tumor volume and ossification of soft tissue, which successfully resulted in limb salvage rather than amputation. The patient showed no evidence of recurrent or distant metastasis at 6-month follow-up. Conclusions: Treatment with receptor activator of nuclear factor-ĸB ligand inhibitor denosumab combined with standard chemotherapy is effective for advanced OS progressing after chemotherapy. We recommend denosumab therapy for successful limb salvage in patients with high-grade OS associated with osteolytic bone destruction and refractory to preoperative neoadjuvant chemotherapy.
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[ 85 ]
4
[ "tumor", "chemotherapy", "os", "bone", "denosumab", "right", "fig", "tissue", "showed", "patient" ]
[ "osteosarcoma os", "strips tumor bone", "denosumab combined chemotherapy", "neoadjuvant chemotherapy denosumab", "malignant bone tumor" ]
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[CONTENT] chemotherapy | denosumab | osteosarcoma | RANK | RANKL [SUMMARY]
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[CONTENT] chemotherapy | denosumab | osteosarcoma | RANK | RANKL [SUMMARY]
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[CONTENT] Adolescent | Bone Neoplasms | Child | Denosumab | Humans | Limb Salvage | Male | Osteosarcoma | Tibia | Treatment Outcome [SUMMARY]
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[CONTENT] Adolescent | Bone Neoplasms | Child | Denosumab | Humans | Limb Salvage | Male | Osteosarcoma | Tibia | Treatment Outcome [SUMMARY]
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[CONTENT] osteosarcoma os | strips tumor bone | denosumab combined chemotherapy | neoadjuvant chemotherapy denosumab | malignant bone tumor [SUMMARY]
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[CONTENT] osteosarcoma os | strips tumor bone | denosumab combined chemotherapy | neoadjuvant chemotherapy denosumab | malignant bone tumor [SUMMARY]
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[CONTENT] tumor | chemotherapy | os | bone | denosumab | right | fig | tissue | showed | patient [SUMMARY]
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[CONTENT] tumor | chemotherapy | os | bone | denosumab | right | fig | tissue | showed | patient [SUMMARY]
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[CONTENT] os | primary | chemotherapy | survival | following | bone | treatment | new | agents | high [SUMMARY]
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[CONTENT] chemotherapy | tumor | study | os | bone | writing | manuscript | data | right | denosumab [SUMMARY]
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[CONTENT] Osteosarcoma ||| ||| [SUMMARY]
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[CONTENT] Osteosarcoma ||| ||| ||| 14-year-old | 4-month ||| ||| first ||| ||| ||| ||| 6-month ||| ||| [SUMMARY]
null
[Epidemiology of scabies in Germany: multisource analysis of primary and secondary data].
34605943
Scabies is one of the most common and, in terms of burden of disease, one of the most significant skin diseases worldwide. In Germany, an increase in cases is currently being discussed, for which reliable data have been lacking until now.
BACKGROUND
Multisource analyses of treatment data from a nationwide statutory health insurance company, the Federal Statistical Office and company skin screenings.
MATERIALS AND METHODS
In Germany, the number of cases of scabies has been rising since 2009 and especially since 2014. In the outpatient setting, there was an increase of 52.8% to around 128,000 treatment cases between 2010 and 2015. Currently, more than 11,000 inpatient cases are documented annually in Germany with scabies as the main diagnosis (ICD-10 B86). The increase between 2010 and 2016 was about 306%. The main outpatient specialist groups providing care are dermatologists and general practitioners, while in the inpatient sector treatment is provided by departments of dermatology, paediatrics and internal medicine.
RESULTS
Due to the aforementioned development of prevalence and incidence, the need for care will remain at a high level in the future, which suggests an increased need for education and early detection.
CONCLUSION
[ "Child", "Germany", "Hospitalization", "Humans", "Incidence", "National Health Programs", "Scabies" ]
8755673
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Fazit für die Praxis
Aufgrund ihrer deutlich gestiegenen Prävalenz kommt die Skabies nicht nur als Primärdiagnose vor. An sie muss auch in der Differenzialdiagnostik von Dermatosen gedacht werden.Das Management der Erkrankung geht über die Dermatotherapie weit hinaus und umfasst insbesondere das Verhaltensmanagement. Für die Praxis ist der Einsatz digitaler Techniken (Online-Informationen, Hinweisvideos) zur Unterstützung des Dermatologen empfehlenswert.Aufgrund der nur mäßigen Compliance bei vielen Patienten bieten sich digitale Apps mit Recall-Funktionen zur Gewährleistung der Karenzmaßnahmen an. Aufgrund ihrer deutlich gestiegenen Prävalenz kommt die Skabies nicht nur als Primärdiagnose vor. An sie muss auch in der Differenzialdiagnostik von Dermatosen gedacht werden. Das Management der Erkrankung geht über die Dermatotherapie weit hinaus und umfasst insbesondere das Verhaltensmanagement. Für die Praxis ist der Einsatz digitaler Techniken (Online-Informationen, Hinweisvideos) zur Unterstützung des Dermatologen empfehlenswert. Aufgrund der nur mäßigen Compliance bei vielen Patienten bieten sich digitale Apps mit Recall-Funktionen zur Gewährleistung der Karenzmaßnahmen an.
[ "Hintergrund", "Fragestellungen", "Methoden", "Studiendesign", "Epidemiologie der Skabies – Primärdatenanalyse", "Häufigkeit der stationären Fälle", "Anteil der Fachabteilungen", "Ambulante Versorgung", "Analyse des aktuellen und zukünftigen Versorgungsbedarfes", "Ergebnisse", "Ambulante Versorgung", "Häufigkeit der stationären Fälle von Skabies", "Verlauf der stationären Fälle 2000 bis 2017", "Anteil der Fachabteilungen", "Primärdatenanalyse", "Diskussion", "Limitationen", "Ausblick" ]
[ "Skabies stellt weltweit eine der häufigsten und in der globalen Krankheitslast eine der bedeutendsten Hautkrankheiten dar [4, 8, 10]. Obwohl Skabies grundsätzlich nicht lebensbedrohlich ist, geht von ihr meist ein hoher Leidensdruck aus [16]. Auch kann besonders in ärmeren Regionen ein erhebliches Komplikationspotenzial vorliegen [2, 6], sodass weltweit eine internationale Allianz gegen Skabies gegründet wurde [5]. In der Regel kann Skabies sachgerecht klinisch diagnostiziert [9, 15] und mit den empfohlenen Therapeutika wirksam behandelt werden [3]. Zur Sicherstellung einer leitliniengerechten Versorgung wurde in Deutschland eine AWMF(Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften)-Leitlinie konsentiert [14].\nWenngleich Skabies in Deutschland im internationalen Vergleich weniger häufig zu sein scheint und gut beherrschbar ist, wurde in letzter Zeit ein vermehrtes Aufkommen diskutiert [13]. Zur Versorgungsplanung fehlen allerdings bisher systematische, aktuelle Daten.\nDie vorliegende Studie hat die Zielsetzung, sowohl die Epidemiologie wie auch die Versorgung der Skabies als Grundlage für die zukünftige Planung abzuleiten.", "\nWie häufig ist Skabies derzeit in Deutschland?Wie häufig wird Skabies ambulant, wie häufig stationär versorgt?Durch welche Fachabteilungen/-gruppen findet diese Versorgung statt?Wie hoch ist der aktuelle und zukünftige Versorgungsbedarf für Skabies?\n\nWie häufig ist Skabies derzeit in Deutschland?\nWie häufig wird Skabies ambulant, wie häufig stationär versorgt?\nDurch welche Fachabteilungen/-gruppen findet diese Versorgung statt?\nWie hoch ist der aktuelle und zukünftige Versorgungsbedarf für Skabies?", "Studiendesign Durchgeführt wurde eine versorgungswissenschaftliche Analyse auf der Basis von Sekundärdaten [12] mit deskriptivem Ansatz. Eingesetzt wurden Analyseverfahren der klinischen Epidemiologie, Gesundheitsökonomie und Sozialwissenschaften. Sachstand der Analyse ist Juli 2019, die aktuellsten Daten stammen aus den Jahren 2015 (GKV-Daten) und 2017 (stationäre Behandlung).\nZielindikation war Skabies, welche in Deutschland durch die ICD-10-Kodierung B86 (ICD-10-GM) dokumentiert wird [7]. Hinzuweisen ist allerdings auf fehlende klinische Differenzierungen, die mit dem ICD-10-Schlüssel nicht abbildbar sind. Auch beruhen die Daten auf nicht verifizierten Diagnosestellungen.\nDurchgeführt wurde eine versorgungswissenschaftliche Analyse auf der Basis von Sekundärdaten [12] mit deskriptivem Ansatz. Eingesetzt wurden Analyseverfahren der klinischen Epidemiologie, Gesundheitsökonomie und Sozialwissenschaften. Sachstand der Analyse ist Juli 2019, die aktuellsten Daten stammen aus den Jahren 2015 (GKV-Daten) und 2017 (stationäre Behandlung).\nZielindikation war Skabies, welche in Deutschland durch die ICD-10-Kodierung B86 (ICD-10-GM) dokumentiert wird [7]. Hinzuweisen ist allerdings auf fehlende klinische Differenzierungen, die mit dem ICD-10-Schlüssel nicht abbildbar sind. Auch beruhen die Daten auf nicht verifizierten Diagnosestellungen.\nEpidemiologie der Skabies – Primärdatenanalyse Die Daten zur Epidemiologie in Deutschland wurden nicht nur auf der Basis von Sekundärdaten, sondern auch in einer populationsbezogenen Studie erhoben. In Letzterer wurden bundesweit über 200.000 Personen im erwerbsfähigen Alter in über 500 Unternehmen verschiedener Branchen mittels strukturierter Anamnese sowie klinischem Ganzkörperbefund untersucht [1]. Skabiesfälle wurden hier nicht als Fokus, sondern nur vom Untersuchenden bei Vorliegen in Freitexten erfasst.\nDie Daten zur Epidemiologie in Deutschland wurden nicht nur auf der Basis von Sekundärdaten, sondern auch in einer populationsbezogenen Studie erhoben. In Letzterer wurden bundesweit über 200.000 Personen im erwerbsfähigen Alter in über 500 Unternehmen verschiedener Branchen mittels strukturierter Anamnese sowie klinischem Ganzkörperbefund untersucht [1]. Skabiesfälle wurden hier nicht als Fokus, sondern nur vom Untersuchenden bei Vorliegen in Freitexten erfasst.\nHäufigkeit der stationären Fälle Die Häufigkeit der stationären Fälle wurde aus den bundesweiten Krankenhausdaten des Statistischen Bundesamtes (Destatis-Daten) gewonnen. Die Statistik stellt eine Vollerfassung der stationären Versorgung dar. Die Analyse erfolgte deskriptiv für die Jahre 2000 bis 2017 unter Verwendung des ICD-10-Codes B86 a) für die gesamte Diagnosegruppe, b) nach Fachabteilung und c) für beide geschlüsselt nach Geschlecht. Erfasst wurde dabei lediglich dieser Code als Hauptdiagnose.\nEine Prüfung der Ergebnisse und die Nutzung der Daten für weitere Auswertungen erfolgten aus dem Auswertungssatz einer gesetzlichen Krankenversicherung (DAK-Gesundheit) mit ca. 5,9 Mio. Versicherten, deren Daten bereits in Vorstudien eingesetzt wurden [11]. Im Zuge einer Projektanalyse zu chronischen Entzündungskrankheiten der Haut wurde eine Stichprobe von 40 % der Daten entnommen.\nDie Häufigkeit der stationären Fälle wurde aus den bundesweiten Krankenhausdaten des Statistischen Bundesamtes (Destatis-Daten) gewonnen. Die Statistik stellt eine Vollerfassung der stationären Versorgung dar. Die Analyse erfolgte deskriptiv für die Jahre 2000 bis 2017 unter Verwendung des ICD-10-Codes B86 a) für die gesamte Diagnosegruppe, b) nach Fachabteilung und c) für beide geschlüsselt nach Geschlecht. Erfasst wurde dabei lediglich dieser Code als Hauptdiagnose.\nEine Prüfung der Ergebnisse und die Nutzung der Daten für weitere Auswertungen erfolgten aus dem Auswertungssatz einer gesetzlichen Krankenversicherung (DAK-Gesundheit) mit ca. 5,9 Mio. Versicherten, deren Daten bereits in Vorstudien eingesetzt wurden [11]. Im Zuge einer Projektanalyse zu chronischen Entzündungskrankheiten der Haut wurde eine Stichprobe von 40 % der Daten entnommen.\nAnteil der Fachabteilungen Als Fachabteilungsschlüssel wurde in der Destatis-Krankenhausstatistik der vom Destatis eingesetzte Schlüssel verwendet. Die Krankenhausversorgung wurde ausschließlich auf Fallebene analysiert, da diese auch Abrechnungs- und Vergleichsgrundlage ist. In gleicher Weise wurden die Fachabteilungsschlüssel für die Analyse der Sekundärdaten herangezogen.\nAls Fachabteilungsschlüssel wurde in der Destatis-Krankenhausstatistik der vom Destatis eingesetzte Schlüssel verwendet. Die Krankenhausversorgung wurde ausschließlich auf Fallebene analysiert, da diese auch Abrechnungs- und Vergleichsgrundlage ist. In gleicher Weise wurden die Fachabteilungsschlüssel für die Analyse der Sekundärdaten herangezogen.\nAmbulante Versorgung Die Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Grundlage waren hier Fallziehungen aus einer 40 %-Stichprobe der DAK-Gesundheit für die Jahre 2010 bis 2015. Als Kodierung wurde wiederum der ICD-10-Code B86 verwendet. Zur Vermeidung einer Unterschätzung der Fallzahl im ambulanten Bereich wurden angesichts der Akuität von Skabies auch Diagnosen in nur einem Quartal erfasst.\nDie Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Grundlage waren hier Fallziehungen aus einer 40 %-Stichprobe der DAK-Gesundheit für die Jahre 2010 bis 2015. Als Kodierung wurde wiederum der ICD-10-Code B86 verwendet. Zur Vermeidung einer Unterschätzung der Fallzahl im ambulanten Bereich wurden angesichts der Akuität von Skabies auch Diagnosen in nur einem Quartal erfasst.\nAnalyse des aktuellen und zukünftigen Versorgungsbedarfes Der aktuelle und der zukünftige Versorgungsbedarf wurden auf der Grundlage der Epidemiologie von Skabies, der daraus festgestellten Behandlungsbedarfe sowie der zukünftigen Epidemiologie im Zuge der demografischen Entwicklung ermittelt.\nDer aktuelle und der zukünftige Versorgungsbedarf wurden auf der Grundlage der Epidemiologie von Skabies, der daraus festgestellten Behandlungsbedarfe sowie der zukünftigen Epidemiologie im Zuge der demografischen Entwicklung ermittelt.", "Durchgeführt wurde eine versorgungswissenschaftliche Analyse auf der Basis von Sekundärdaten [12] mit deskriptivem Ansatz. Eingesetzt wurden Analyseverfahren der klinischen Epidemiologie, Gesundheitsökonomie und Sozialwissenschaften. Sachstand der Analyse ist Juli 2019, die aktuellsten Daten stammen aus den Jahren 2015 (GKV-Daten) und 2017 (stationäre Behandlung).\nZielindikation war Skabies, welche in Deutschland durch die ICD-10-Kodierung B86 (ICD-10-GM) dokumentiert wird [7]. Hinzuweisen ist allerdings auf fehlende klinische Differenzierungen, die mit dem ICD-10-Schlüssel nicht abbildbar sind. Auch beruhen die Daten auf nicht verifizierten Diagnosestellungen.", "Die Daten zur Epidemiologie in Deutschland wurden nicht nur auf der Basis von Sekundärdaten, sondern auch in einer populationsbezogenen Studie erhoben. In Letzterer wurden bundesweit über 200.000 Personen im erwerbsfähigen Alter in über 500 Unternehmen verschiedener Branchen mittels strukturierter Anamnese sowie klinischem Ganzkörperbefund untersucht [1]. Skabiesfälle wurden hier nicht als Fokus, sondern nur vom Untersuchenden bei Vorliegen in Freitexten erfasst.", "Die Häufigkeit der stationären Fälle wurde aus den bundesweiten Krankenhausdaten des Statistischen Bundesamtes (Destatis-Daten) gewonnen. Die Statistik stellt eine Vollerfassung der stationären Versorgung dar. Die Analyse erfolgte deskriptiv für die Jahre 2000 bis 2017 unter Verwendung des ICD-10-Codes B86 a) für die gesamte Diagnosegruppe, b) nach Fachabteilung und c) für beide geschlüsselt nach Geschlecht. Erfasst wurde dabei lediglich dieser Code als Hauptdiagnose.\nEine Prüfung der Ergebnisse und die Nutzung der Daten für weitere Auswertungen erfolgten aus dem Auswertungssatz einer gesetzlichen Krankenversicherung (DAK-Gesundheit) mit ca. 5,9 Mio. Versicherten, deren Daten bereits in Vorstudien eingesetzt wurden [11]. Im Zuge einer Projektanalyse zu chronischen Entzündungskrankheiten der Haut wurde eine Stichprobe von 40 % der Daten entnommen.", "Als Fachabteilungsschlüssel wurde in der Destatis-Krankenhausstatistik der vom Destatis eingesetzte Schlüssel verwendet. Die Krankenhausversorgung wurde ausschließlich auf Fallebene analysiert, da diese auch Abrechnungs- und Vergleichsgrundlage ist. In gleicher Weise wurden die Fachabteilungsschlüssel für die Analyse der Sekundärdaten herangezogen.", "Die Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Grundlage waren hier Fallziehungen aus einer 40 %-Stichprobe der DAK-Gesundheit für die Jahre 2010 bis 2015. Als Kodierung wurde wiederum der ICD-10-Code B86 verwendet. Zur Vermeidung einer Unterschätzung der Fallzahl im ambulanten Bereich wurden angesichts der Akuität von Skabies auch Diagnosen in nur einem Quartal erfasst.", "Der aktuelle und der zukünftige Versorgungsbedarf wurden auf der Grundlage der Epidemiologie von Skabies, der daraus festgestellten Behandlungsbedarfe sowie der zukünftigen Epidemiologie im Zuge der demografischen Entwicklung ermittelt.", "Ambulante Versorgung Die Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Insgesamt wurden im Jahr 2015 innerhalb der Stichprobe von 2,5 Mio. DAK-Versicherten n = 2684 Fälle (0,107 %) verzeichnet (Abb. 1) gegenüber n = 1757 Fällen in 2010. Damit lag der Anstieg an Behandlungen zwischen 2010 und 2015 bei 52,8 %.\nAus diesen Daten resultiert eine hochgerechnete nicht-adjustierte Prävalenz der ambulant behandelten Skabies in Deutschland für das Jahr 2015 von etwa 0,107 %, entsprechend 88.000 Fällen.\nDie Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Insgesamt wurden im Jahr 2015 innerhalb der Stichprobe von 2,5 Mio. DAK-Versicherten n = 2684 Fälle (0,107 %) verzeichnet (Abb. 1) gegenüber n = 1757 Fällen in 2010. Damit lag der Anstieg an Behandlungen zwischen 2010 und 2015 bei 52,8 %.\nAus diesen Daten resultiert eine hochgerechnete nicht-adjustierte Prävalenz der ambulant behandelten Skabies in Deutschland für das Jahr 2015 von etwa 0,107 %, entsprechend 88.000 Fällen.\nHäufigkeit der stationären Fälle von Skabies Im Jahr 2016 wurden von Destatis n = 3860 stationäre Fälle der Diagnose Skabies/ICD-10 B86 dokumentiert (Abb. 2). Betroffen waren alle Altersgruppen, wobei ein Schwerpunkt bei Kindern und jungen Erwachsenen bis 25 Jahre zu erkennen ist (Abb. 2a). Bezogen auf 100.000 stationäre Fälle pro Altersgruppen lag der Anteil der Skabies im Alter von 15 bis 20 Jahren mit über 200/100.000 am höchsten (Abb. 2b).\nFür 2017 liegen in der Berichterstattung von Destatis zum Zeitpunkt der Analyse nur die stationären Behandlungstage vor, nicht aber die Fälle. Von diesen Fällen betrafen 51 % Männer und 49 % Frauen, die insgesamt 21.976 stationäre Behandlungstage induzierten (Tab. 1).FachabteilungMänner (n)Frauen (n)Gesamt (n)Anteil weiblich (%)Anteil Fachgruppe (%)Dermatologie8386777216.15848,173,5Pädiatrie23052491479651,921,8Innere Medizin37622860437,72,7Andere23318541844,31,9Gesamt11.30010.67621.97648,6100,0\nIm Jahr 2016 wurden von Destatis n = 3860 stationäre Fälle der Diagnose Skabies/ICD-10 B86 dokumentiert (Abb. 2). Betroffen waren alle Altersgruppen, wobei ein Schwerpunkt bei Kindern und jungen Erwachsenen bis 25 Jahre zu erkennen ist (Abb. 2a). Bezogen auf 100.000 stationäre Fälle pro Altersgruppen lag der Anteil der Skabies im Alter von 15 bis 20 Jahren mit über 200/100.000 am höchsten (Abb. 2b).\nFür 2017 liegen in der Berichterstattung von Destatis zum Zeitpunkt der Analyse nur die stationären Behandlungstage vor, nicht aber die Fälle. Von diesen Fällen betrafen 51 % Männer und 49 % Frauen, die insgesamt 21.976 stationäre Behandlungstage induzierten (Tab. 1).FachabteilungMänner (n)Frauen (n)Gesamt (n)Anteil weiblich (%)Anteil Fachgruppe (%)Dermatologie8386777216.15848,173,5Pädiatrie23052491479651,921,8Innere Medizin37622860437,72,7Andere23318541844,31,9Gesamt11.30010.67621.97648,6100,0\nVerlauf der stationären Fälle 2000 bis 2017 Im Verlauf von 2000 bis 2017 zeigt sich ein U‑förmiger Verlauf: Während in den Jahren 2000 bis 2006 noch über 1000 Fälle als stationäre Hauptdiagnosen dokumentiert wurden, sank dieser Anteil nachfolgend bis auf 810 im Jahr 2009 (Abb. 3). Seit dem Jahr 2014 ist wieder ein markanter, bisher anhaltender Anstieg zu verzeichnen.\nIm Vergleich der Jahre 2009 bis 2017 lässt sich insgesamt ein Anstieg der stationären Fälle von 810 um 376,5 % auf 5816 feststellen (Tab. 2). Im Vergleich dazu stieg die Anzahl stationärer Krankenhausfälle in Deutschland nur um 9,4 %, die der stationären dermatologischen Diagnosen (L00-L99) um 20,2 %.20092017Veränderung (%)Stationäre Fälle Skabies (n)8105816618,0Alle stationären Fälle in Deutschland (n)18.231.56919.952.7359,4Anteil Skabies pro 100.000 Krankenhausfälle4,429,1556,1Alle dermatologischen Diagnosen (n)252.203303.27220,2Stationäre Behandlungen wegen Skabies in Relation zu stationären dermatologischen Diagnosen (L00-L99) (%)0,31,9497,1\nDementsprechend stieg der Anteil der Skabiesfälle an den stationären Krankenhausfällen insgesamt um über 500 %, die Zahl der Skabiesfälle in Relation zur Zahl der stationären Hautdiagnosen stiegt ebenfalls überproportional um 497 %.\nGeht man von den ermittelten 127.952 ambulanten Fällen und 3860 stationären Fällen von Skabies in 2015 aus, so wurde ein Anteil von 3,0 % der ambulanten Fälle auch stationär behandelt. Dieser Quotient lag 2010 noch bei 1,3 % (815 stationäre Fälle auf 61.723 ambulante).\nIm Verlauf von 2000 bis 2017 zeigt sich ein U‑förmiger Verlauf: Während in den Jahren 2000 bis 2006 noch über 1000 Fälle als stationäre Hauptdiagnosen dokumentiert wurden, sank dieser Anteil nachfolgend bis auf 810 im Jahr 2009 (Abb. 3). Seit dem Jahr 2014 ist wieder ein markanter, bisher anhaltender Anstieg zu verzeichnen.\nIm Vergleich der Jahre 2009 bis 2017 lässt sich insgesamt ein Anstieg der stationären Fälle von 810 um 376,5 % auf 5816 feststellen (Tab. 2). Im Vergleich dazu stieg die Anzahl stationärer Krankenhausfälle in Deutschland nur um 9,4 %, die der stationären dermatologischen Diagnosen (L00-L99) um 20,2 %.20092017Veränderung (%)Stationäre Fälle Skabies (n)8105816618,0Alle stationären Fälle in Deutschland (n)18.231.56919.952.7359,4Anteil Skabies pro 100.000 Krankenhausfälle4,429,1556,1Alle dermatologischen Diagnosen (n)252.203303.27220,2Stationäre Behandlungen wegen Skabies in Relation zu stationären dermatologischen Diagnosen (L00-L99) (%)0,31,9497,1\nDementsprechend stieg der Anteil der Skabiesfälle an den stationären Krankenhausfällen insgesamt um über 500 %, die Zahl der Skabiesfälle in Relation zur Zahl der stationären Hautdiagnosen stiegt ebenfalls überproportional um 497 %.\nGeht man von den ermittelten 127.952 ambulanten Fällen und 3860 stationären Fällen von Skabies in 2015 aus, so wurde ein Anteil von 3,0 % der ambulanten Fälle auch stationär behandelt. Dieser Quotient lag 2010 noch bei 1,3 % (815 stationäre Fälle auf 61.723 ambulante).\nAnteil der Fachabteilungen Hauptversorgende Abteilungen in 2017 (Tab. 1) waren die Dermatologie (73,5 % Anteil), gefolgt von der Pädiatrie (21,8 %) und der Allgemeinen Inneren Medizin (2,7 %). Lediglich 1,9 % wurden durch andere Fachabteilungen versorgt.\nHauptversorgende Abteilungen in 2017 (Tab. 1) waren die Dermatologie (73,5 % Anteil), gefolgt von der Pädiatrie (21,8 %) und der Allgemeinen Inneren Medizin (2,7 %). Lediglich 1,9 % wurden durch andere Fachabteilungen versorgt.\nPrimärdatenanalyse Das Durchschnittsalter der 200.000 untersuchten Personen in den Betrieben betrug 46,1 ± 9,8 Jahre, 53,5 % waren männlich, und der mittlere Body-Mass-Index (BMI) betrug 26,1 ± 4,4 kg/m2 [1]. Erwartungsgemäß wurde hier praktisch keine Skabies festgestellt. Grund hierfür sind a) der Healthy-Worker-Effekt, b) damit verbunden die fehlende Risikolage der meisten Beschäftigten für Skabies und c) die Akuität der Erkrankung, welche im Eintretensfall schnell zu versorgen und auszukurieren ist. Der sporadische Charakter der Erkrankung trägt auch allgemein zu einer geringen Verbreitung in Betrieben bei.\nDas Durchschnittsalter der 200.000 untersuchten Personen in den Betrieben betrug 46,1 ± 9,8 Jahre, 53,5 % waren männlich, und der mittlere Body-Mass-Index (BMI) betrug 26,1 ± 4,4 kg/m2 [1]. Erwartungsgemäß wurde hier praktisch keine Skabies festgestellt. Grund hierfür sind a) der Healthy-Worker-Effekt, b) damit verbunden die fehlende Risikolage der meisten Beschäftigten für Skabies und c) die Akuität der Erkrankung, welche im Eintretensfall schnell zu versorgen und auszukurieren ist. Der sporadische Charakter der Erkrankung trägt auch allgemein zu einer geringen Verbreitung in Betrieben bei.", "Die Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Insgesamt wurden im Jahr 2015 innerhalb der Stichprobe von 2,5 Mio. DAK-Versicherten n = 2684 Fälle (0,107 %) verzeichnet (Abb. 1) gegenüber n = 1757 Fällen in 2010. Damit lag der Anstieg an Behandlungen zwischen 2010 und 2015 bei 52,8 %.\nAus diesen Daten resultiert eine hochgerechnete nicht-adjustierte Prävalenz der ambulant behandelten Skabies in Deutschland für das Jahr 2015 von etwa 0,107 %, entsprechend 88.000 Fällen.", "Im Jahr 2016 wurden von Destatis n = 3860 stationäre Fälle der Diagnose Skabies/ICD-10 B86 dokumentiert (Abb. 2). Betroffen waren alle Altersgruppen, wobei ein Schwerpunkt bei Kindern und jungen Erwachsenen bis 25 Jahre zu erkennen ist (Abb. 2a). Bezogen auf 100.000 stationäre Fälle pro Altersgruppen lag der Anteil der Skabies im Alter von 15 bis 20 Jahren mit über 200/100.000 am höchsten (Abb. 2b).\nFür 2017 liegen in der Berichterstattung von Destatis zum Zeitpunkt der Analyse nur die stationären Behandlungstage vor, nicht aber die Fälle. Von diesen Fällen betrafen 51 % Männer und 49 % Frauen, die insgesamt 21.976 stationäre Behandlungstage induzierten (Tab. 1).FachabteilungMänner (n)Frauen (n)Gesamt (n)Anteil weiblich (%)Anteil Fachgruppe (%)Dermatologie8386777216.15848,173,5Pädiatrie23052491479651,921,8Innere Medizin37622860437,72,7Andere23318541844,31,9Gesamt11.30010.67621.97648,6100,0", "Im Verlauf von 2000 bis 2017 zeigt sich ein U‑förmiger Verlauf: Während in den Jahren 2000 bis 2006 noch über 1000 Fälle als stationäre Hauptdiagnosen dokumentiert wurden, sank dieser Anteil nachfolgend bis auf 810 im Jahr 2009 (Abb. 3). Seit dem Jahr 2014 ist wieder ein markanter, bisher anhaltender Anstieg zu verzeichnen.\nIm Vergleich der Jahre 2009 bis 2017 lässt sich insgesamt ein Anstieg der stationären Fälle von 810 um 376,5 % auf 5816 feststellen (Tab. 2). Im Vergleich dazu stieg die Anzahl stationärer Krankenhausfälle in Deutschland nur um 9,4 %, die der stationären dermatologischen Diagnosen (L00-L99) um 20,2 %.20092017Veränderung (%)Stationäre Fälle Skabies (n)8105816618,0Alle stationären Fälle in Deutschland (n)18.231.56919.952.7359,4Anteil Skabies pro 100.000 Krankenhausfälle4,429,1556,1Alle dermatologischen Diagnosen (n)252.203303.27220,2Stationäre Behandlungen wegen Skabies in Relation zu stationären dermatologischen Diagnosen (L00-L99) (%)0,31,9497,1\nDementsprechend stieg der Anteil der Skabiesfälle an den stationären Krankenhausfällen insgesamt um über 500 %, die Zahl der Skabiesfälle in Relation zur Zahl der stationären Hautdiagnosen stiegt ebenfalls überproportional um 497 %.\nGeht man von den ermittelten 127.952 ambulanten Fällen und 3860 stationären Fällen von Skabies in 2015 aus, so wurde ein Anteil von 3,0 % der ambulanten Fälle auch stationär behandelt. Dieser Quotient lag 2010 noch bei 1,3 % (815 stationäre Fälle auf 61.723 ambulante).", "Hauptversorgende Abteilungen in 2017 (Tab. 1) waren die Dermatologie (73,5 % Anteil), gefolgt von der Pädiatrie (21,8 %) und der Allgemeinen Inneren Medizin (2,7 %). Lediglich 1,9 % wurden durch andere Fachabteilungen versorgt.", "Das Durchschnittsalter der 200.000 untersuchten Personen in den Betrieben betrug 46,1 ± 9,8 Jahre, 53,5 % waren männlich, und der mittlere Body-Mass-Index (BMI) betrug 26,1 ± 4,4 kg/m2 [1]. Erwartungsgemäß wurde hier praktisch keine Skabies festgestellt. Grund hierfür sind a) der Healthy-Worker-Effekt, b) damit verbunden die fehlende Risikolage der meisten Beschäftigten für Skabies und c) die Akuität der Erkrankung, welche im Eintretensfall schnell zu versorgen und auszukurieren ist. Der sporadische Charakter der Erkrankung trägt auch allgemein zu einer geringen Verbreitung in Betrieben bei.", "Ziel der vorliegenden Analyse war die Ermittlung der Prävalenz von Skabies in Deutschland und daraus die Ableitung des aktuellen und des zukünftigen Versorgungsbedarfes. Sowohl die ambulanten wie auch die stationären Behandlungsdaten lassen eine klare Tendenz zu einer erhöhten Skabiesprävalenz seit 2010 erkennen. Besonders stark ist der Anstieg seit 2014. Daraus ergibt sich unmittelbar ein ebenfalls gestiegener, genereller Versorgungsbedarf. Diese Daten bestätigen Annahmen der AWMF-Leitlinie [14] und der Sekundärliteratur [13] sowie Berichte in den Medien, die bislang jedoch nicht wissenschaftlich hinterlegt waren.\nDer besonders stark gestiegene Anteil stationärer Behandlungen bedarf einer gesonderten Betrachtung. Der zwischen 2000 und 2006 beobachtete Abfall dieser stationären Fälle war vermutlich durch die Wandlung des stationären Versorgungssystems im Zuge der G‑DRG(German Diagnosis Related Groups)-Einführung und der Verlagerung von Behandlungen in den ambulanten Bereich bedingt. Angesichts der seitdem nicht mehr veränderten stationären Vergütungsstruktur lassen sich die erneuten Anstiege stationärer Fälle in den letzten Jahren nicht mit entsprechenden Anreizen, sondern einem tatsächlichen Mehrbedarf erklären. Da ein Großteil der Skabieserkrankungen bei rechtzeitiger Diagnosestellung ambulant beherrschbar ist, könnte der Anstieg an zu spät erkannten oder aufgrund sozialer Umstände nicht hinreichend kontrollierbaren Fällen liegen. Inwieweit auch therapierefraktäre Verläufe, Resistenzen oder eine unzureichende diagnostische und therapeutische Versorgungsqualität zu dem Anstieg der stationären Fälle beigetragen haben, bedarf weitergehender, versorgungswissenschaftlicher Analysen.\nEine Limitation der Nutzung von Sekundärdaten aus den gesetzlichen Krankenversicherungen und der Berichterstattung des Bundes ist die fehlende Prüfbarkeit der Diagnosen, die weit überwiegend klinisch gestellt worden sein dürften. Dieser Umstand gilt jedoch für den gesamten Beobachtungszeitraum in gleicher Weise, sodass wir hier keine systematische Verzerrung erwarten.\nDie vorliegenden Daten unterstreichen, dass die Skabies zukünftig auch in Deutschland eine stärkere klinische und versorgungswissenschaftliche Forschung benötigt. Hierzu zählen neben der Epidemiologie auch die Resistenzforschung an den zugelassenen Arzneimitteln sowie die Entwicklung neuer Wirkstoffe. In der medizinischen Versorgung ist anzustreben, die Skabies noch stärker in die Wahrnehmung der Ärzteschaft und der Sozialeinrichtungen zu bringen. Sowohl in der ambulanten wie auch in der stationären Dermatologie gilt es, die Versorgung der Skabies durch innovative Versorgungskonzepte und bessere Kooperationen zwischen den Gesundheitsbehörden, den Trägern der Sozialeinrichtungen und der Ärzteschaft weiterzuentwickeln und die Risikogruppen für das massenweise Auftreten frühzeitig zu identifizieren.", "Durch die Datengrundlage ergeben sich folgende Limitationen:fehlende Verifizierung der Diagnosen durch Fachärzte für Dermatologie, da es sich um eine Sekundärdatenanalyse von GKV-Daten handelt,keine reinen bevölkerungsbezogenen Prävalenzdaten, sondern nur Angaben zur Behandlungsprävalenz,Dunkelziffer an Skabiesfällen kann nur mittels Primärdatenanalysen durch aufwendige Populationsstudien ermittelt werden.\nfehlende Verifizierung der Diagnosen durch Fachärzte für Dermatologie, da es sich um eine Sekundärdatenanalyse von GKV-Daten handelt,\nkeine reinen bevölkerungsbezogenen Prävalenzdaten, sondern nur Angaben zur Behandlungsprävalenz,\nDunkelziffer an Skabiesfällen kann nur mittels Primärdatenanalysen durch aufwendige Populationsstudien ermittelt werden.", "Vorerst ist auf der Basis der vorliegenden Daten davon auszugehen, dass auf allen Ebenen interveniert werden sollte: a) Forcierung der Primär- und Sekundärprävention in Risikogruppen, b) frühzeitigere Entdeckung von Skabiesfällen durch mehr Aufklärung und edukatorische Maßnahmen in den Gesundheitsberufen, c) Tertiärprävention bei erkannten Risikogruppen und d) konsequente Nutzung der therapeutischen Optionen nach Leitlinie.\nAufgrund ihrer deutlich gestiegenen Prävalenz kommt die Skabies nicht nur als Primärdiagnose vor. An sie muss auch in der Differenzialdiagnostik von Dermatosen gedacht werden." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ]
[ "Hintergrund", "Fragestellungen", "Methoden", "Studiendesign", "Epidemiologie der Skabies – Primärdatenanalyse", "Häufigkeit der stationären Fälle", "Anteil der Fachabteilungen", "Ambulante Versorgung", "Analyse des aktuellen und zukünftigen Versorgungsbedarfes", "Ergebnisse", "Ambulante Versorgung", "Häufigkeit der stationären Fälle von Skabies", "Verlauf der stationären Fälle 2000 bis 2017", "Anteil der Fachabteilungen", "Primärdatenanalyse", "Diskussion", "Limitationen", "Ausblick", "Fazit für die Praxis" ]
[ "Skabies stellt weltweit eine der häufigsten und in der globalen Krankheitslast eine der bedeutendsten Hautkrankheiten dar [4, 8, 10]. Obwohl Skabies grundsätzlich nicht lebensbedrohlich ist, geht von ihr meist ein hoher Leidensdruck aus [16]. Auch kann besonders in ärmeren Regionen ein erhebliches Komplikationspotenzial vorliegen [2, 6], sodass weltweit eine internationale Allianz gegen Skabies gegründet wurde [5]. In der Regel kann Skabies sachgerecht klinisch diagnostiziert [9, 15] und mit den empfohlenen Therapeutika wirksam behandelt werden [3]. Zur Sicherstellung einer leitliniengerechten Versorgung wurde in Deutschland eine AWMF(Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften)-Leitlinie konsentiert [14].\nWenngleich Skabies in Deutschland im internationalen Vergleich weniger häufig zu sein scheint und gut beherrschbar ist, wurde in letzter Zeit ein vermehrtes Aufkommen diskutiert [13]. Zur Versorgungsplanung fehlen allerdings bisher systematische, aktuelle Daten.\nDie vorliegende Studie hat die Zielsetzung, sowohl die Epidemiologie wie auch die Versorgung der Skabies als Grundlage für die zukünftige Planung abzuleiten.", "\nWie häufig ist Skabies derzeit in Deutschland?Wie häufig wird Skabies ambulant, wie häufig stationär versorgt?Durch welche Fachabteilungen/-gruppen findet diese Versorgung statt?Wie hoch ist der aktuelle und zukünftige Versorgungsbedarf für Skabies?\n\nWie häufig ist Skabies derzeit in Deutschland?\nWie häufig wird Skabies ambulant, wie häufig stationär versorgt?\nDurch welche Fachabteilungen/-gruppen findet diese Versorgung statt?\nWie hoch ist der aktuelle und zukünftige Versorgungsbedarf für Skabies?", "Studiendesign Durchgeführt wurde eine versorgungswissenschaftliche Analyse auf der Basis von Sekundärdaten [12] mit deskriptivem Ansatz. Eingesetzt wurden Analyseverfahren der klinischen Epidemiologie, Gesundheitsökonomie und Sozialwissenschaften. Sachstand der Analyse ist Juli 2019, die aktuellsten Daten stammen aus den Jahren 2015 (GKV-Daten) und 2017 (stationäre Behandlung).\nZielindikation war Skabies, welche in Deutschland durch die ICD-10-Kodierung B86 (ICD-10-GM) dokumentiert wird [7]. Hinzuweisen ist allerdings auf fehlende klinische Differenzierungen, die mit dem ICD-10-Schlüssel nicht abbildbar sind. Auch beruhen die Daten auf nicht verifizierten Diagnosestellungen.\nDurchgeführt wurde eine versorgungswissenschaftliche Analyse auf der Basis von Sekundärdaten [12] mit deskriptivem Ansatz. Eingesetzt wurden Analyseverfahren der klinischen Epidemiologie, Gesundheitsökonomie und Sozialwissenschaften. Sachstand der Analyse ist Juli 2019, die aktuellsten Daten stammen aus den Jahren 2015 (GKV-Daten) und 2017 (stationäre Behandlung).\nZielindikation war Skabies, welche in Deutschland durch die ICD-10-Kodierung B86 (ICD-10-GM) dokumentiert wird [7]. Hinzuweisen ist allerdings auf fehlende klinische Differenzierungen, die mit dem ICD-10-Schlüssel nicht abbildbar sind. Auch beruhen die Daten auf nicht verifizierten Diagnosestellungen.\nEpidemiologie der Skabies – Primärdatenanalyse Die Daten zur Epidemiologie in Deutschland wurden nicht nur auf der Basis von Sekundärdaten, sondern auch in einer populationsbezogenen Studie erhoben. In Letzterer wurden bundesweit über 200.000 Personen im erwerbsfähigen Alter in über 500 Unternehmen verschiedener Branchen mittels strukturierter Anamnese sowie klinischem Ganzkörperbefund untersucht [1]. Skabiesfälle wurden hier nicht als Fokus, sondern nur vom Untersuchenden bei Vorliegen in Freitexten erfasst.\nDie Daten zur Epidemiologie in Deutschland wurden nicht nur auf der Basis von Sekundärdaten, sondern auch in einer populationsbezogenen Studie erhoben. In Letzterer wurden bundesweit über 200.000 Personen im erwerbsfähigen Alter in über 500 Unternehmen verschiedener Branchen mittels strukturierter Anamnese sowie klinischem Ganzkörperbefund untersucht [1]. Skabiesfälle wurden hier nicht als Fokus, sondern nur vom Untersuchenden bei Vorliegen in Freitexten erfasst.\nHäufigkeit der stationären Fälle Die Häufigkeit der stationären Fälle wurde aus den bundesweiten Krankenhausdaten des Statistischen Bundesamtes (Destatis-Daten) gewonnen. Die Statistik stellt eine Vollerfassung der stationären Versorgung dar. Die Analyse erfolgte deskriptiv für die Jahre 2000 bis 2017 unter Verwendung des ICD-10-Codes B86 a) für die gesamte Diagnosegruppe, b) nach Fachabteilung und c) für beide geschlüsselt nach Geschlecht. Erfasst wurde dabei lediglich dieser Code als Hauptdiagnose.\nEine Prüfung der Ergebnisse und die Nutzung der Daten für weitere Auswertungen erfolgten aus dem Auswertungssatz einer gesetzlichen Krankenversicherung (DAK-Gesundheit) mit ca. 5,9 Mio. Versicherten, deren Daten bereits in Vorstudien eingesetzt wurden [11]. Im Zuge einer Projektanalyse zu chronischen Entzündungskrankheiten der Haut wurde eine Stichprobe von 40 % der Daten entnommen.\nDie Häufigkeit der stationären Fälle wurde aus den bundesweiten Krankenhausdaten des Statistischen Bundesamtes (Destatis-Daten) gewonnen. Die Statistik stellt eine Vollerfassung der stationären Versorgung dar. Die Analyse erfolgte deskriptiv für die Jahre 2000 bis 2017 unter Verwendung des ICD-10-Codes B86 a) für die gesamte Diagnosegruppe, b) nach Fachabteilung und c) für beide geschlüsselt nach Geschlecht. Erfasst wurde dabei lediglich dieser Code als Hauptdiagnose.\nEine Prüfung der Ergebnisse und die Nutzung der Daten für weitere Auswertungen erfolgten aus dem Auswertungssatz einer gesetzlichen Krankenversicherung (DAK-Gesundheit) mit ca. 5,9 Mio. Versicherten, deren Daten bereits in Vorstudien eingesetzt wurden [11]. Im Zuge einer Projektanalyse zu chronischen Entzündungskrankheiten der Haut wurde eine Stichprobe von 40 % der Daten entnommen.\nAnteil der Fachabteilungen Als Fachabteilungsschlüssel wurde in der Destatis-Krankenhausstatistik der vom Destatis eingesetzte Schlüssel verwendet. Die Krankenhausversorgung wurde ausschließlich auf Fallebene analysiert, da diese auch Abrechnungs- und Vergleichsgrundlage ist. In gleicher Weise wurden die Fachabteilungsschlüssel für die Analyse der Sekundärdaten herangezogen.\nAls Fachabteilungsschlüssel wurde in der Destatis-Krankenhausstatistik der vom Destatis eingesetzte Schlüssel verwendet. Die Krankenhausversorgung wurde ausschließlich auf Fallebene analysiert, da diese auch Abrechnungs- und Vergleichsgrundlage ist. In gleicher Weise wurden die Fachabteilungsschlüssel für die Analyse der Sekundärdaten herangezogen.\nAmbulante Versorgung Die Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Grundlage waren hier Fallziehungen aus einer 40 %-Stichprobe der DAK-Gesundheit für die Jahre 2010 bis 2015. Als Kodierung wurde wiederum der ICD-10-Code B86 verwendet. Zur Vermeidung einer Unterschätzung der Fallzahl im ambulanten Bereich wurden angesichts der Akuität von Skabies auch Diagnosen in nur einem Quartal erfasst.\nDie Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Grundlage waren hier Fallziehungen aus einer 40 %-Stichprobe der DAK-Gesundheit für die Jahre 2010 bis 2015. Als Kodierung wurde wiederum der ICD-10-Code B86 verwendet. Zur Vermeidung einer Unterschätzung der Fallzahl im ambulanten Bereich wurden angesichts der Akuität von Skabies auch Diagnosen in nur einem Quartal erfasst.\nAnalyse des aktuellen und zukünftigen Versorgungsbedarfes Der aktuelle und der zukünftige Versorgungsbedarf wurden auf der Grundlage der Epidemiologie von Skabies, der daraus festgestellten Behandlungsbedarfe sowie der zukünftigen Epidemiologie im Zuge der demografischen Entwicklung ermittelt.\nDer aktuelle und der zukünftige Versorgungsbedarf wurden auf der Grundlage der Epidemiologie von Skabies, der daraus festgestellten Behandlungsbedarfe sowie der zukünftigen Epidemiologie im Zuge der demografischen Entwicklung ermittelt.", "Durchgeführt wurde eine versorgungswissenschaftliche Analyse auf der Basis von Sekundärdaten [12] mit deskriptivem Ansatz. Eingesetzt wurden Analyseverfahren der klinischen Epidemiologie, Gesundheitsökonomie und Sozialwissenschaften. Sachstand der Analyse ist Juli 2019, die aktuellsten Daten stammen aus den Jahren 2015 (GKV-Daten) und 2017 (stationäre Behandlung).\nZielindikation war Skabies, welche in Deutschland durch die ICD-10-Kodierung B86 (ICD-10-GM) dokumentiert wird [7]. Hinzuweisen ist allerdings auf fehlende klinische Differenzierungen, die mit dem ICD-10-Schlüssel nicht abbildbar sind. Auch beruhen die Daten auf nicht verifizierten Diagnosestellungen.", "Die Daten zur Epidemiologie in Deutschland wurden nicht nur auf der Basis von Sekundärdaten, sondern auch in einer populationsbezogenen Studie erhoben. In Letzterer wurden bundesweit über 200.000 Personen im erwerbsfähigen Alter in über 500 Unternehmen verschiedener Branchen mittels strukturierter Anamnese sowie klinischem Ganzkörperbefund untersucht [1]. Skabiesfälle wurden hier nicht als Fokus, sondern nur vom Untersuchenden bei Vorliegen in Freitexten erfasst.", "Die Häufigkeit der stationären Fälle wurde aus den bundesweiten Krankenhausdaten des Statistischen Bundesamtes (Destatis-Daten) gewonnen. Die Statistik stellt eine Vollerfassung der stationären Versorgung dar. Die Analyse erfolgte deskriptiv für die Jahre 2000 bis 2017 unter Verwendung des ICD-10-Codes B86 a) für die gesamte Diagnosegruppe, b) nach Fachabteilung und c) für beide geschlüsselt nach Geschlecht. Erfasst wurde dabei lediglich dieser Code als Hauptdiagnose.\nEine Prüfung der Ergebnisse und die Nutzung der Daten für weitere Auswertungen erfolgten aus dem Auswertungssatz einer gesetzlichen Krankenversicherung (DAK-Gesundheit) mit ca. 5,9 Mio. Versicherten, deren Daten bereits in Vorstudien eingesetzt wurden [11]. Im Zuge einer Projektanalyse zu chronischen Entzündungskrankheiten der Haut wurde eine Stichprobe von 40 % der Daten entnommen.", "Als Fachabteilungsschlüssel wurde in der Destatis-Krankenhausstatistik der vom Destatis eingesetzte Schlüssel verwendet. Die Krankenhausversorgung wurde ausschließlich auf Fallebene analysiert, da diese auch Abrechnungs- und Vergleichsgrundlage ist. In gleicher Weise wurden die Fachabteilungsschlüssel für die Analyse der Sekundärdaten herangezogen.", "Die Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Grundlage waren hier Fallziehungen aus einer 40 %-Stichprobe der DAK-Gesundheit für die Jahre 2010 bis 2015. Als Kodierung wurde wiederum der ICD-10-Code B86 verwendet. Zur Vermeidung einer Unterschätzung der Fallzahl im ambulanten Bereich wurden angesichts der Akuität von Skabies auch Diagnosen in nur einem Quartal erfasst.", "Der aktuelle und der zukünftige Versorgungsbedarf wurden auf der Grundlage der Epidemiologie von Skabies, der daraus festgestellten Behandlungsbedarfe sowie der zukünftigen Epidemiologie im Zuge der demografischen Entwicklung ermittelt.", "Ambulante Versorgung Die Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Insgesamt wurden im Jahr 2015 innerhalb der Stichprobe von 2,5 Mio. DAK-Versicherten n = 2684 Fälle (0,107 %) verzeichnet (Abb. 1) gegenüber n = 1757 Fällen in 2010. Damit lag der Anstieg an Behandlungen zwischen 2010 und 2015 bei 52,8 %.\nAus diesen Daten resultiert eine hochgerechnete nicht-adjustierte Prävalenz der ambulant behandelten Skabies in Deutschland für das Jahr 2015 von etwa 0,107 %, entsprechend 88.000 Fällen.\nDie Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Insgesamt wurden im Jahr 2015 innerhalb der Stichprobe von 2,5 Mio. DAK-Versicherten n = 2684 Fälle (0,107 %) verzeichnet (Abb. 1) gegenüber n = 1757 Fällen in 2010. Damit lag der Anstieg an Behandlungen zwischen 2010 und 2015 bei 52,8 %.\nAus diesen Daten resultiert eine hochgerechnete nicht-adjustierte Prävalenz der ambulant behandelten Skabies in Deutschland für das Jahr 2015 von etwa 0,107 %, entsprechend 88.000 Fällen.\nHäufigkeit der stationären Fälle von Skabies Im Jahr 2016 wurden von Destatis n = 3860 stationäre Fälle der Diagnose Skabies/ICD-10 B86 dokumentiert (Abb. 2). Betroffen waren alle Altersgruppen, wobei ein Schwerpunkt bei Kindern und jungen Erwachsenen bis 25 Jahre zu erkennen ist (Abb. 2a). Bezogen auf 100.000 stationäre Fälle pro Altersgruppen lag der Anteil der Skabies im Alter von 15 bis 20 Jahren mit über 200/100.000 am höchsten (Abb. 2b).\nFür 2017 liegen in der Berichterstattung von Destatis zum Zeitpunkt der Analyse nur die stationären Behandlungstage vor, nicht aber die Fälle. Von diesen Fällen betrafen 51 % Männer und 49 % Frauen, die insgesamt 21.976 stationäre Behandlungstage induzierten (Tab. 1).FachabteilungMänner (n)Frauen (n)Gesamt (n)Anteil weiblich (%)Anteil Fachgruppe (%)Dermatologie8386777216.15848,173,5Pädiatrie23052491479651,921,8Innere Medizin37622860437,72,7Andere23318541844,31,9Gesamt11.30010.67621.97648,6100,0\nIm Jahr 2016 wurden von Destatis n = 3860 stationäre Fälle der Diagnose Skabies/ICD-10 B86 dokumentiert (Abb. 2). Betroffen waren alle Altersgruppen, wobei ein Schwerpunkt bei Kindern und jungen Erwachsenen bis 25 Jahre zu erkennen ist (Abb. 2a). Bezogen auf 100.000 stationäre Fälle pro Altersgruppen lag der Anteil der Skabies im Alter von 15 bis 20 Jahren mit über 200/100.000 am höchsten (Abb. 2b).\nFür 2017 liegen in der Berichterstattung von Destatis zum Zeitpunkt der Analyse nur die stationären Behandlungstage vor, nicht aber die Fälle. Von diesen Fällen betrafen 51 % Männer und 49 % Frauen, die insgesamt 21.976 stationäre Behandlungstage induzierten (Tab. 1).FachabteilungMänner (n)Frauen (n)Gesamt (n)Anteil weiblich (%)Anteil Fachgruppe (%)Dermatologie8386777216.15848,173,5Pädiatrie23052491479651,921,8Innere Medizin37622860437,72,7Andere23318541844,31,9Gesamt11.30010.67621.97648,6100,0\nVerlauf der stationären Fälle 2000 bis 2017 Im Verlauf von 2000 bis 2017 zeigt sich ein U‑förmiger Verlauf: Während in den Jahren 2000 bis 2006 noch über 1000 Fälle als stationäre Hauptdiagnosen dokumentiert wurden, sank dieser Anteil nachfolgend bis auf 810 im Jahr 2009 (Abb. 3). Seit dem Jahr 2014 ist wieder ein markanter, bisher anhaltender Anstieg zu verzeichnen.\nIm Vergleich der Jahre 2009 bis 2017 lässt sich insgesamt ein Anstieg der stationären Fälle von 810 um 376,5 % auf 5816 feststellen (Tab. 2). Im Vergleich dazu stieg die Anzahl stationärer Krankenhausfälle in Deutschland nur um 9,4 %, die der stationären dermatologischen Diagnosen (L00-L99) um 20,2 %.20092017Veränderung (%)Stationäre Fälle Skabies (n)8105816618,0Alle stationären Fälle in Deutschland (n)18.231.56919.952.7359,4Anteil Skabies pro 100.000 Krankenhausfälle4,429,1556,1Alle dermatologischen Diagnosen (n)252.203303.27220,2Stationäre Behandlungen wegen Skabies in Relation zu stationären dermatologischen Diagnosen (L00-L99) (%)0,31,9497,1\nDementsprechend stieg der Anteil der Skabiesfälle an den stationären Krankenhausfällen insgesamt um über 500 %, die Zahl der Skabiesfälle in Relation zur Zahl der stationären Hautdiagnosen stiegt ebenfalls überproportional um 497 %.\nGeht man von den ermittelten 127.952 ambulanten Fällen und 3860 stationären Fällen von Skabies in 2015 aus, so wurde ein Anteil von 3,0 % der ambulanten Fälle auch stationär behandelt. Dieser Quotient lag 2010 noch bei 1,3 % (815 stationäre Fälle auf 61.723 ambulante).\nIm Verlauf von 2000 bis 2017 zeigt sich ein U‑förmiger Verlauf: Während in den Jahren 2000 bis 2006 noch über 1000 Fälle als stationäre Hauptdiagnosen dokumentiert wurden, sank dieser Anteil nachfolgend bis auf 810 im Jahr 2009 (Abb. 3). Seit dem Jahr 2014 ist wieder ein markanter, bisher anhaltender Anstieg zu verzeichnen.\nIm Vergleich der Jahre 2009 bis 2017 lässt sich insgesamt ein Anstieg der stationären Fälle von 810 um 376,5 % auf 5816 feststellen (Tab. 2). Im Vergleich dazu stieg die Anzahl stationärer Krankenhausfälle in Deutschland nur um 9,4 %, die der stationären dermatologischen Diagnosen (L00-L99) um 20,2 %.20092017Veränderung (%)Stationäre Fälle Skabies (n)8105816618,0Alle stationären Fälle in Deutschland (n)18.231.56919.952.7359,4Anteil Skabies pro 100.000 Krankenhausfälle4,429,1556,1Alle dermatologischen Diagnosen (n)252.203303.27220,2Stationäre Behandlungen wegen Skabies in Relation zu stationären dermatologischen Diagnosen (L00-L99) (%)0,31,9497,1\nDementsprechend stieg der Anteil der Skabiesfälle an den stationären Krankenhausfällen insgesamt um über 500 %, die Zahl der Skabiesfälle in Relation zur Zahl der stationären Hautdiagnosen stiegt ebenfalls überproportional um 497 %.\nGeht man von den ermittelten 127.952 ambulanten Fällen und 3860 stationären Fällen von Skabies in 2015 aus, so wurde ein Anteil von 3,0 % der ambulanten Fälle auch stationär behandelt. Dieser Quotient lag 2010 noch bei 1,3 % (815 stationäre Fälle auf 61.723 ambulante).\nAnteil der Fachabteilungen Hauptversorgende Abteilungen in 2017 (Tab. 1) waren die Dermatologie (73,5 % Anteil), gefolgt von der Pädiatrie (21,8 %) und der Allgemeinen Inneren Medizin (2,7 %). Lediglich 1,9 % wurden durch andere Fachabteilungen versorgt.\nHauptversorgende Abteilungen in 2017 (Tab. 1) waren die Dermatologie (73,5 % Anteil), gefolgt von der Pädiatrie (21,8 %) und der Allgemeinen Inneren Medizin (2,7 %). Lediglich 1,9 % wurden durch andere Fachabteilungen versorgt.\nPrimärdatenanalyse Das Durchschnittsalter der 200.000 untersuchten Personen in den Betrieben betrug 46,1 ± 9,8 Jahre, 53,5 % waren männlich, und der mittlere Body-Mass-Index (BMI) betrug 26,1 ± 4,4 kg/m2 [1]. Erwartungsgemäß wurde hier praktisch keine Skabies festgestellt. Grund hierfür sind a) der Healthy-Worker-Effekt, b) damit verbunden die fehlende Risikolage der meisten Beschäftigten für Skabies und c) die Akuität der Erkrankung, welche im Eintretensfall schnell zu versorgen und auszukurieren ist. Der sporadische Charakter der Erkrankung trägt auch allgemein zu einer geringen Verbreitung in Betrieben bei.\nDas Durchschnittsalter der 200.000 untersuchten Personen in den Betrieben betrug 46,1 ± 9,8 Jahre, 53,5 % waren männlich, und der mittlere Body-Mass-Index (BMI) betrug 26,1 ± 4,4 kg/m2 [1]. Erwartungsgemäß wurde hier praktisch keine Skabies festgestellt. Grund hierfür sind a) der Healthy-Worker-Effekt, b) damit verbunden die fehlende Risikolage der meisten Beschäftigten für Skabies und c) die Akuität der Erkrankung, welche im Eintretensfall schnell zu versorgen und auszukurieren ist. Der sporadische Charakter der Erkrankung trägt auch allgemein zu einer geringen Verbreitung in Betrieben bei.", "Die Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Insgesamt wurden im Jahr 2015 innerhalb der Stichprobe von 2,5 Mio. DAK-Versicherten n = 2684 Fälle (0,107 %) verzeichnet (Abb. 1) gegenüber n = 1757 Fällen in 2010. Damit lag der Anstieg an Behandlungen zwischen 2010 und 2015 bei 52,8 %.\nAus diesen Daten resultiert eine hochgerechnete nicht-adjustierte Prävalenz der ambulant behandelten Skabies in Deutschland für das Jahr 2015 von etwa 0,107 %, entsprechend 88.000 Fällen.", "Im Jahr 2016 wurden von Destatis n = 3860 stationäre Fälle der Diagnose Skabies/ICD-10 B86 dokumentiert (Abb. 2). Betroffen waren alle Altersgruppen, wobei ein Schwerpunkt bei Kindern und jungen Erwachsenen bis 25 Jahre zu erkennen ist (Abb. 2a). Bezogen auf 100.000 stationäre Fälle pro Altersgruppen lag der Anteil der Skabies im Alter von 15 bis 20 Jahren mit über 200/100.000 am höchsten (Abb. 2b).\nFür 2017 liegen in der Berichterstattung von Destatis zum Zeitpunkt der Analyse nur die stationären Behandlungstage vor, nicht aber die Fälle. Von diesen Fällen betrafen 51 % Männer und 49 % Frauen, die insgesamt 21.976 stationäre Behandlungstage induzierten (Tab. 1).FachabteilungMänner (n)Frauen (n)Gesamt (n)Anteil weiblich (%)Anteil Fachgruppe (%)Dermatologie8386777216.15848,173,5Pädiatrie23052491479651,921,8Innere Medizin37622860437,72,7Andere23318541844,31,9Gesamt11.30010.67621.97648,6100,0", "Im Verlauf von 2000 bis 2017 zeigt sich ein U‑förmiger Verlauf: Während in den Jahren 2000 bis 2006 noch über 1000 Fälle als stationäre Hauptdiagnosen dokumentiert wurden, sank dieser Anteil nachfolgend bis auf 810 im Jahr 2009 (Abb. 3). Seit dem Jahr 2014 ist wieder ein markanter, bisher anhaltender Anstieg zu verzeichnen.\nIm Vergleich der Jahre 2009 bis 2017 lässt sich insgesamt ein Anstieg der stationären Fälle von 810 um 376,5 % auf 5816 feststellen (Tab. 2). Im Vergleich dazu stieg die Anzahl stationärer Krankenhausfälle in Deutschland nur um 9,4 %, die der stationären dermatologischen Diagnosen (L00-L99) um 20,2 %.20092017Veränderung (%)Stationäre Fälle Skabies (n)8105816618,0Alle stationären Fälle in Deutschland (n)18.231.56919.952.7359,4Anteil Skabies pro 100.000 Krankenhausfälle4,429,1556,1Alle dermatologischen Diagnosen (n)252.203303.27220,2Stationäre Behandlungen wegen Skabies in Relation zu stationären dermatologischen Diagnosen (L00-L99) (%)0,31,9497,1\nDementsprechend stieg der Anteil der Skabiesfälle an den stationären Krankenhausfällen insgesamt um über 500 %, die Zahl der Skabiesfälle in Relation zur Zahl der stationären Hautdiagnosen stiegt ebenfalls überproportional um 497 %.\nGeht man von den ermittelten 127.952 ambulanten Fällen und 3860 stationären Fällen von Skabies in 2015 aus, so wurde ein Anteil von 3,0 % der ambulanten Fälle auch stationär behandelt. Dieser Quotient lag 2010 noch bei 1,3 % (815 stationäre Fälle auf 61.723 ambulante).", "Hauptversorgende Abteilungen in 2017 (Tab. 1) waren die Dermatologie (73,5 % Anteil), gefolgt von der Pädiatrie (21,8 %) und der Allgemeinen Inneren Medizin (2,7 %). Lediglich 1,9 % wurden durch andere Fachabteilungen versorgt.", "Das Durchschnittsalter der 200.000 untersuchten Personen in den Betrieben betrug 46,1 ± 9,8 Jahre, 53,5 % waren männlich, und der mittlere Body-Mass-Index (BMI) betrug 26,1 ± 4,4 kg/m2 [1]. Erwartungsgemäß wurde hier praktisch keine Skabies festgestellt. Grund hierfür sind a) der Healthy-Worker-Effekt, b) damit verbunden die fehlende Risikolage der meisten Beschäftigten für Skabies und c) die Akuität der Erkrankung, welche im Eintretensfall schnell zu versorgen und auszukurieren ist. Der sporadische Charakter der Erkrankung trägt auch allgemein zu einer geringen Verbreitung in Betrieben bei.", "Ziel der vorliegenden Analyse war die Ermittlung der Prävalenz von Skabies in Deutschland und daraus die Ableitung des aktuellen und des zukünftigen Versorgungsbedarfes. Sowohl die ambulanten wie auch die stationären Behandlungsdaten lassen eine klare Tendenz zu einer erhöhten Skabiesprävalenz seit 2010 erkennen. Besonders stark ist der Anstieg seit 2014. Daraus ergibt sich unmittelbar ein ebenfalls gestiegener, genereller Versorgungsbedarf. Diese Daten bestätigen Annahmen der AWMF-Leitlinie [14] und der Sekundärliteratur [13] sowie Berichte in den Medien, die bislang jedoch nicht wissenschaftlich hinterlegt waren.\nDer besonders stark gestiegene Anteil stationärer Behandlungen bedarf einer gesonderten Betrachtung. Der zwischen 2000 und 2006 beobachtete Abfall dieser stationären Fälle war vermutlich durch die Wandlung des stationären Versorgungssystems im Zuge der G‑DRG(German Diagnosis Related Groups)-Einführung und der Verlagerung von Behandlungen in den ambulanten Bereich bedingt. Angesichts der seitdem nicht mehr veränderten stationären Vergütungsstruktur lassen sich die erneuten Anstiege stationärer Fälle in den letzten Jahren nicht mit entsprechenden Anreizen, sondern einem tatsächlichen Mehrbedarf erklären. Da ein Großteil der Skabieserkrankungen bei rechtzeitiger Diagnosestellung ambulant beherrschbar ist, könnte der Anstieg an zu spät erkannten oder aufgrund sozialer Umstände nicht hinreichend kontrollierbaren Fällen liegen. Inwieweit auch therapierefraktäre Verläufe, Resistenzen oder eine unzureichende diagnostische und therapeutische Versorgungsqualität zu dem Anstieg der stationären Fälle beigetragen haben, bedarf weitergehender, versorgungswissenschaftlicher Analysen.\nEine Limitation der Nutzung von Sekundärdaten aus den gesetzlichen Krankenversicherungen und der Berichterstattung des Bundes ist die fehlende Prüfbarkeit der Diagnosen, die weit überwiegend klinisch gestellt worden sein dürften. Dieser Umstand gilt jedoch für den gesamten Beobachtungszeitraum in gleicher Weise, sodass wir hier keine systematische Verzerrung erwarten.\nDie vorliegenden Daten unterstreichen, dass die Skabies zukünftig auch in Deutschland eine stärkere klinische und versorgungswissenschaftliche Forschung benötigt. Hierzu zählen neben der Epidemiologie auch die Resistenzforschung an den zugelassenen Arzneimitteln sowie die Entwicklung neuer Wirkstoffe. In der medizinischen Versorgung ist anzustreben, die Skabies noch stärker in die Wahrnehmung der Ärzteschaft und der Sozialeinrichtungen zu bringen. Sowohl in der ambulanten wie auch in der stationären Dermatologie gilt es, die Versorgung der Skabies durch innovative Versorgungskonzepte und bessere Kooperationen zwischen den Gesundheitsbehörden, den Trägern der Sozialeinrichtungen und der Ärzteschaft weiterzuentwickeln und die Risikogruppen für das massenweise Auftreten frühzeitig zu identifizieren.", "Durch die Datengrundlage ergeben sich folgende Limitationen:fehlende Verifizierung der Diagnosen durch Fachärzte für Dermatologie, da es sich um eine Sekundärdatenanalyse von GKV-Daten handelt,keine reinen bevölkerungsbezogenen Prävalenzdaten, sondern nur Angaben zur Behandlungsprävalenz,Dunkelziffer an Skabiesfällen kann nur mittels Primärdatenanalysen durch aufwendige Populationsstudien ermittelt werden.\nfehlende Verifizierung der Diagnosen durch Fachärzte für Dermatologie, da es sich um eine Sekundärdatenanalyse von GKV-Daten handelt,\nkeine reinen bevölkerungsbezogenen Prävalenzdaten, sondern nur Angaben zur Behandlungsprävalenz,\nDunkelziffer an Skabiesfällen kann nur mittels Primärdatenanalysen durch aufwendige Populationsstudien ermittelt werden.", "Vorerst ist auf der Basis der vorliegenden Daten davon auszugehen, dass auf allen Ebenen interveniert werden sollte: a) Forcierung der Primär- und Sekundärprävention in Risikogruppen, b) frühzeitigere Entdeckung von Skabiesfällen durch mehr Aufklärung und edukatorische Maßnahmen in den Gesundheitsberufen, c) Tertiärprävention bei erkannten Risikogruppen und d) konsequente Nutzung der therapeutischen Optionen nach Leitlinie.\nAufgrund ihrer deutlich gestiegenen Prävalenz kommt die Skabies nicht nur als Primärdiagnose vor. An sie muss auch in der Differenzialdiagnostik von Dermatosen gedacht werden.", "\nAufgrund ihrer deutlich gestiegenen Prävalenz kommt die Skabies nicht nur als Primärdiagnose vor. An sie muss auch in der Differenzialdiagnostik von Dermatosen gedacht werden.Das Management der Erkrankung geht über die Dermatotherapie weit hinaus und umfasst insbesondere das Verhaltensmanagement. Für die Praxis ist der Einsatz digitaler Techniken (Online-Informationen, Hinweisvideos) zur Unterstützung des Dermatologen empfehlenswert.Aufgrund der nur mäßigen Compliance bei vielen Patienten bieten sich digitale Apps mit Recall-Funktionen zur Gewährleistung der Karenzmaßnahmen an.\n\nAufgrund ihrer deutlich gestiegenen Prävalenz kommt die Skabies nicht nur als Primärdiagnose vor. An sie muss auch in der Differenzialdiagnostik von Dermatosen gedacht werden.\nDas Management der Erkrankung geht über die Dermatotherapie weit hinaus und umfasst insbesondere das Verhaltensmanagement. Für die Praxis ist der Einsatz digitaler Techniken (Online-Informationen, Hinweisvideos) zur Unterstützung des Dermatologen empfehlenswert.\nAufgrund der nur mäßigen Compliance bei vielen Patienten bieten sich digitale Apps mit Recall-Funktionen zur Gewährleistung der Karenzmaßnahmen an." ]
[ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "conclusion" ]
[ "Hautkrankheiten", "Versorgungsforschung", "Krankenkassen", "Häufigkeit", "Multi-Source-Analyse", "Skin diseases", "Health services research", "Sickness funds", "Frequency", "Multi-source analysis" ]
Hintergrund: Skabies stellt weltweit eine der häufigsten und in der globalen Krankheitslast eine der bedeutendsten Hautkrankheiten dar [4, 8, 10]. Obwohl Skabies grundsätzlich nicht lebensbedrohlich ist, geht von ihr meist ein hoher Leidensdruck aus [16]. Auch kann besonders in ärmeren Regionen ein erhebliches Komplikationspotenzial vorliegen [2, 6], sodass weltweit eine internationale Allianz gegen Skabies gegründet wurde [5]. In der Regel kann Skabies sachgerecht klinisch diagnostiziert [9, 15] und mit den empfohlenen Therapeutika wirksam behandelt werden [3]. Zur Sicherstellung einer leitliniengerechten Versorgung wurde in Deutschland eine AWMF(Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften)-Leitlinie konsentiert [14]. Wenngleich Skabies in Deutschland im internationalen Vergleich weniger häufig zu sein scheint und gut beherrschbar ist, wurde in letzter Zeit ein vermehrtes Aufkommen diskutiert [13]. Zur Versorgungsplanung fehlen allerdings bisher systematische, aktuelle Daten. Die vorliegende Studie hat die Zielsetzung, sowohl die Epidemiologie wie auch die Versorgung der Skabies als Grundlage für die zukünftige Planung abzuleiten. Fragestellungen: Wie häufig ist Skabies derzeit in Deutschland?Wie häufig wird Skabies ambulant, wie häufig stationär versorgt?Durch welche Fachabteilungen/-gruppen findet diese Versorgung statt?Wie hoch ist der aktuelle und zukünftige Versorgungsbedarf für Skabies? Wie häufig ist Skabies derzeit in Deutschland? Wie häufig wird Skabies ambulant, wie häufig stationär versorgt? Durch welche Fachabteilungen/-gruppen findet diese Versorgung statt? Wie hoch ist der aktuelle und zukünftige Versorgungsbedarf für Skabies? Methoden: Studiendesign Durchgeführt wurde eine versorgungswissenschaftliche Analyse auf der Basis von Sekundärdaten [12] mit deskriptivem Ansatz. Eingesetzt wurden Analyseverfahren der klinischen Epidemiologie, Gesundheitsökonomie und Sozialwissenschaften. Sachstand der Analyse ist Juli 2019, die aktuellsten Daten stammen aus den Jahren 2015 (GKV-Daten) und 2017 (stationäre Behandlung). Zielindikation war Skabies, welche in Deutschland durch die ICD-10-Kodierung B86 (ICD-10-GM) dokumentiert wird [7]. Hinzuweisen ist allerdings auf fehlende klinische Differenzierungen, die mit dem ICD-10-Schlüssel nicht abbildbar sind. Auch beruhen die Daten auf nicht verifizierten Diagnosestellungen. Durchgeführt wurde eine versorgungswissenschaftliche Analyse auf der Basis von Sekundärdaten [12] mit deskriptivem Ansatz. Eingesetzt wurden Analyseverfahren der klinischen Epidemiologie, Gesundheitsökonomie und Sozialwissenschaften. Sachstand der Analyse ist Juli 2019, die aktuellsten Daten stammen aus den Jahren 2015 (GKV-Daten) und 2017 (stationäre Behandlung). Zielindikation war Skabies, welche in Deutschland durch die ICD-10-Kodierung B86 (ICD-10-GM) dokumentiert wird [7]. Hinzuweisen ist allerdings auf fehlende klinische Differenzierungen, die mit dem ICD-10-Schlüssel nicht abbildbar sind. Auch beruhen die Daten auf nicht verifizierten Diagnosestellungen. Epidemiologie der Skabies – Primärdatenanalyse Die Daten zur Epidemiologie in Deutschland wurden nicht nur auf der Basis von Sekundärdaten, sondern auch in einer populationsbezogenen Studie erhoben. In Letzterer wurden bundesweit über 200.000 Personen im erwerbsfähigen Alter in über 500 Unternehmen verschiedener Branchen mittels strukturierter Anamnese sowie klinischem Ganzkörperbefund untersucht [1]. Skabiesfälle wurden hier nicht als Fokus, sondern nur vom Untersuchenden bei Vorliegen in Freitexten erfasst. Die Daten zur Epidemiologie in Deutschland wurden nicht nur auf der Basis von Sekundärdaten, sondern auch in einer populationsbezogenen Studie erhoben. In Letzterer wurden bundesweit über 200.000 Personen im erwerbsfähigen Alter in über 500 Unternehmen verschiedener Branchen mittels strukturierter Anamnese sowie klinischem Ganzkörperbefund untersucht [1]. Skabiesfälle wurden hier nicht als Fokus, sondern nur vom Untersuchenden bei Vorliegen in Freitexten erfasst. Häufigkeit der stationären Fälle Die Häufigkeit der stationären Fälle wurde aus den bundesweiten Krankenhausdaten des Statistischen Bundesamtes (Destatis-Daten) gewonnen. Die Statistik stellt eine Vollerfassung der stationären Versorgung dar. Die Analyse erfolgte deskriptiv für die Jahre 2000 bis 2017 unter Verwendung des ICD-10-Codes B86 a) für die gesamte Diagnosegruppe, b) nach Fachabteilung und c) für beide geschlüsselt nach Geschlecht. Erfasst wurde dabei lediglich dieser Code als Hauptdiagnose. Eine Prüfung der Ergebnisse und die Nutzung der Daten für weitere Auswertungen erfolgten aus dem Auswertungssatz einer gesetzlichen Krankenversicherung (DAK-Gesundheit) mit ca. 5,9 Mio. Versicherten, deren Daten bereits in Vorstudien eingesetzt wurden [11]. Im Zuge einer Projektanalyse zu chronischen Entzündungskrankheiten der Haut wurde eine Stichprobe von 40 % der Daten entnommen. Die Häufigkeit der stationären Fälle wurde aus den bundesweiten Krankenhausdaten des Statistischen Bundesamtes (Destatis-Daten) gewonnen. Die Statistik stellt eine Vollerfassung der stationären Versorgung dar. Die Analyse erfolgte deskriptiv für die Jahre 2000 bis 2017 unter Verwendung des ICD-10-Codes B86 a) für die gesamte Diagnosegruppe, b) nach Fachabteilung und c) für beide geschlüsselt nach Geschlecht. Erfasst wurde dabei lediglich dieser Code als Hauptdiagnose. Eine Prüfung der Ergebnisse und die Nutzung der Daten für weitere Auswertungen erfolgten aus dem Auswertungssatz einer gesetzlichen Krankenversicherung (DAK-Gesundheit) mit ca. 5,9 Mio. Versicherten, deren Daten bereits in Vorstudien eingesetzt wurden [11]. Im Zuge einer Projektanalyse zu chronischen Entzündungskrankheiten der Haut wurde eine Stichprobe von 40 % der Daten entnommen. Anteil der Fachabteilungen Als Fachabteilungsschlüssel wurde in der Destatis-Krankenhausstatistik der vom Destatis eingesetzte Schlüssel verwendet. Die Krankenhausversorgung wurde ausschließlich auf Fallebene analysiert, da diese auch Abrechnungs- und Vergleichsgrundlage ist. In gleicher Weise wurden die Fachabteilungsschlüssel für die Analyse der Sekundärdaten herangezogen. Als Fachabteilungsschlüssel wurde in der Destatis-Krankenhausstatistik der vom Destatis eingesetzte Schlüssel verwendet. Die Krankenhausversorgung wurde ausschließlich auf Fallebene analysiert, da diese auch Abrechnungs- und Vergleichsgrundlage ist. In gleicher Weise wurden die Fachabteilungsschlüssel für die Analyse der Sekundärdaten herangezogen. Ambulante Versorgung Die Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Grundlage waren hier Fallziehungen aus einer 40 %-Stichprobe der DAK-Gesundheit für die Jahre 2010 bis 2015. Als Kodierung wurde wiederum der ICD-10-Code B86 verwendet. Zur Vermeidung einer Unterschätzung der Fallzahl im ambulanten Bereich wurden angesichts der Akuität von Skabies auch Diagnosen in nur einem Quartal erfasst. Die Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Grundlage waren hier Fallziehungen aus einer 40 %-Stichprobe der DAK-Gesundheit für die Jahre 2010 bis 2015. Als Kodierung wurde wiederum der ICD-10-Code B86 verwendet. Zur Vermeidung einer Unterschätzung der Fallzahl im ambulanten Bereich wurden angesichts der Akuität von Skabies auch Diagnosen in nur einem Quartal erfasst. Analyse des aktuellen und zukünftigen Versorgungsbedarfes Der aktuelle und der zukünftige Versorgungsbedarf wurden auf der Grundlage der Epidemiologie von Skabies, der daraus festgestellten Behandlungsbedarfe sowie der zukünftigen Epidemiologie im Zuge der demografischen Entwicklung ermittelt. Der aktuelle und der zukünftige Versorgungsbedarf wurden auf der Grundlage der Epidemiologie von Skabies, der daraus festgestellten Behandlungsbedarfe sowie der zukünftigen Epidemiologie im Zuge der demografischen Entwicklung ermittelt. Studiendesign: Durchgeführt wurde eine versorgungswissenschaftliche Analyse auf der Basis von Sekundärdaten [12] mit deskriptivem Ansatz. Eingesetzt wurden Analyseverfahren der klinischen Epidemiologie, Gesundheitsökonomie und Sozialwissenschaften. Sachstand der Analyse ist Juli 2019, die aktuellsten Daten stammen aus den Jahren 2015 (GKV-Daten) und 2017 (stationäre Behandlung). Zielindikation war Skabies, welche in Deutschland durch die ICD-10-Kodierung B86 (ICD-10-GM) dokumentiert wird [7]. Hinzuweisen ist allerdings auf fehlende klinische Differenzierungen, die mit dem ICD-10-Schlüssel nicht abbildbar sind. Auch beruhen die Daten auf nicht verifizierten Diagnosestellungen. Epidemiologie der Skabies – Primärdatenanalyse: Die Daten zur Epidemiologie in Deutschland wurden nicht nur auf der Basis von Sekundärdaten, sondern auch in einer populationsbezogenen Studie erhoben. In Letzterer wurden bundesweit über 200.000 Personen im erwerbsfähigen Alter in über 500 Unternehmen verschiedener Branchen mittels strukturierter Anamnese sowie klinischem Ganzkörperbefund untersucht [1]. Skabiesfälle wurden hier nicht als Fokus, sondern nur vom Untersuchenden bei Vorliegen in Freitexten erfasst. Häufigkeit der stationären Fälle: Die Häufigkeit der stationären Fälle wurde aus den bundesweiten Krankenhausdaten des Statistischen Bundesamtes (Destatis-Daten) gewonnen. Die Statistik stellt eine Vollerfassung der stationären Versorgung dar. Die Analyse erfolgte deskriptiv für die Jahre 2000 bis 2017 unter Verwendung des ICD-10-Codes B86 a) für die gesamte Diagnosegruppe, b) nach Fachabteilung und c) für beide geschlüsselt nach Geschlecht. Erfasst wurde dabei lediglich dieser Code als Hauptdiagnose. Eine Prüfung der Ergebnisse und die Nutzung der Daten für weitere Auswertungen erfolgten aus dem Auswertungssatz einer gesetzlichen Krankenversicherung (DAK-Gesundheit) mit ca. 5,9 Mio. Versicherten, deren Daten bereits in Vorstudien eingesetzt wurden [11]. Im Zuge einer Projektanalyse zu chronischen Entzündungskrankheiten der Haut wurde eine Stichprobe von 40 % der Daten entnommen. Anteil der Fachabteilungen: Als Fachabteilungsschlüssel wurde in der Destatis-Krankenhausstatistik der vom Destatis eingesetzte Schlüssel verwendet. Die Krankenhausversorgung wurde ausschließlich auf Fallebene analysiert, da diese auch Abrechnungs- und Vergleichsgrundlage ist. In gleicher Weise wurden die Fachabteilungsschlüssel für die Analyse der Sekundärdaten herangezogen. Ambulante Versorgung: Die Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Grundlage waren hier Fallziehungen aus einer 40 %-Stichprobe der DAK-Gesundheit für die Jahre 2010 bis 2015. Als Kodierung wurde wiederum der ICD-10-Code B86 verwendet. Zur Vermeidung einer Unterschätzung der Fallzahl im ambulanten Bereich wurden angesichts der Akuität von Skabies auch Diagnosen in nur einem Quartal erfasst. Analyse des aktuellen und zukünftigen Versorgungsbedarfes: Der aktuelle und der zukünftige Versorgungsbedarf wurden auf der Grundlage der Epidemiologie von Skabies, der daraus festgestellten Behandlungsbedarfe sowie der zukünftigen Epidemiologie im Zuge der demografischen Entwicklung ermittelt. Ergebnisse: Ambulante Versorgung Die Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Insgesamt wurden im Jahr 2015 innerhalb der Stichprobe von 2,5 Mio. DAK-Versicherten n = 2684 Fälle (0,107 %) verzeichnet (Abb. 1) gegenüber n = 1757 Fällen in 2010. Damit lag der Anstieg an Behandlungen zwischen 2010 und 2015 bei 52,8 %. Aus diesen Daten resultiert eine hochgerechnete nicht-adjustierte Prävalenz der ambulant behandelten Skabies in Deutschland für das Jahr 2015 von etwa 0,107 %, entsprechend 88.000 Fällen. Die Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Insgesamt wurden im Jahr 2015 innerhalb der Stichprobe von 2,5 Mio. DAK-Versicherten n = 2684 Fälle (0,107 %) verzeichnet (Abb. 1) gegenüber n = 1757 Fällen in 2010. Damit lag der Anstieg an Behandlungen zwischen 2010 und 2015 bei 52,8 %. Aus diesen Daten resultiert eine hochgerechnete nicht-adjustierte Prävalenz der ambulant behandelten Skabies in Deutschland für das Jahr 2015 von etwa 0,107 %, entsprechend 88.000 Fällen. Häufigkeit der stationären Fälle von Skabies Im Jahr 2016 wurden von Destatis n = 3860 stationäre Fälle der Diagnose Skabies/ICD-10 B86 dokumentiert (Abb. 2). Betroffen waren alle Altersgruppen, wobei ein Schwerpunkt bei Kindern und jungen Erwachsenen bis 25 Jahre zu erkennen ist (Abb. 2a). Bezogen auf 100.000 stationäre Fälle pro Altersgruppen lag der Anteil der Skabies im Alter von 15 bis 20 Jahren mit über 200/100.000 am höchsten (Abb. 2b). Für 2017 liegen in der Berichterstattung von Destatis zum Zeitpunkt der Analyse nur die stationären Behandlungstage vor, nicht aber die Fälle. Von diesen Fällen betrafen 51 % Männer und 49 % Frauen, die insgesamt 21.976 stationäre Behandlungstage induzierten (Tab. 1).FachabteilungMänner (n)Frauen (n)Gesamt (n)Anteil weiblich (%)Anteil Fachgruppe (%)Dermatologie8386777216.15848,173,5Pädiatrie23052491479651,921,8Innere Medizin37622860437,72,7Andere23318541844,31,9Gesamt11.30010.67621.97648,6100,0 Im Jahr 2016 wurden von Destatis n = 3860 stationäre Fälle der Diagnose Skabies/ICD-10 B86 dokumentiert (Abb. 2). Betroffen waren alle Altersgruppen, wobei ein Schwerpunkt bei Kindern und jungen Erwachsenen bis 25 Jahre zu erkennen ist (Abb. 2a). Bezogen auf 100.000 stationäre Fälle pro Altersgruppen lag der Anteil der Skabies im Alter von 15 bis 20 Jahren mit über 200/100.000 am höchsten (Abb. 2b). Für 2017 liegen in der Berichterstattung von Destatis zum Zeitpunkt der Analyse nur die stationären Behandlungstage vor, nicht aber die Fälle. Von diesen Fällen betrafen 51 % Männer und 49 % Frauen, die insgesamt 21.976 stationäre Behandlungstage induzierten (Tab. 1).FachabteilungMänner (n)Frauen (n)Gesamt (n)Anteil weiblich (%)Anteil Fachgruppe (%)Dermatologie8386777216.15848,173,5Pädiatrie23052491479651,921,8Innere Medizin37622860437,72,7Andere23318541844,31,9Gesamt11.30010.67621.97648,6100,0 Verlauf der stationären Fälle 2000 bis 2017 Im Verlauf von 2000 bis 2017 zeigt sich ein U‑förmiger Verlauf: Während in den Jahren 2000 bis 2006 noch über 1000 Fälle als stationäre Hauptdiagnosen dokumentiert wurden, sank dieser Anteil nachfolgend bis auf 810 im Jahr 2009 (Abb. 3). Seit dem Jahr 2014 ist wieder ein markanter, bisher anhaltender Anstieg zu verzeichnen. Im Vergleich der Jahre 2009 bis 2017 lässt sich insgesamt ein Anstieg der stationären Fälle von 810 um 376,5 % auf 5816 feststellen (Tab. 2). Im Vergleich dazu stieg die Anzahl stationärer Krankenhausfälle in Deutschland nur um 9,4 %, die der stationären dermatologischen Diagnosen (L00-L99) um 20,2 %.20092017Veränderung (%)Stationäre Fälle Skabies (n)8105816618,0Alle stationären Fälle in Deutschland (n)18.231.56919.952.7359,4Anteil Skabies pro 100.000 Krankenhausfälle4,429,1556,1Alle dermatologischen Diagnosen (n)252.203303.27220,2Stationäre Behandlungen wegen Skabies in Relation zu stationären dermatologischen Diagnosen (L00-L99) (%)0,31,9497,1 Dementsprechend stieg der Anteil der Skabiesfälle an den stationären Krankenhausfällen insgesamt um über 500 %, die Zahl der Skabiesfälle in Relation zur Zahl der stationären Hautdiagnosen stiegt ebenfalls überproportional um 497 %. Geht man von den ermittelten 127.952 ambulanten Fällen und 3860 stationären Fällen von Skabies in 2015 aus, so wurde ein Anteil von 3,0 % der ambulanten Fälle auch stationär behandelt. Dieser Quotient lag 2010 noch bei 1,3 % (815 stationäre Fälle auf 61.723 ambulante). Im Verlauf von 2000 bis 2017 zeigt sich ein U‑förmiger Verlauf: Während in den Jahren 2000 bis 2006 noch über 1000 Fälle als stationäre Hauptdiagnosen dokumentiert wurden, sank dieser Anteil nachfolgend bis auf 810 im Jahr 2009 (Abb. 3). Seit dem Jahr 2014 ist wieder ein markanter, bisher anhaltender Anstieg zu verzeichnen. Im Vergleich der Jahre 2009 bis 2017 lässt sich insgesamt ein Anstieg der stationären Fälle von 810 um 376,5 % auf 5816 feststellen (Tab. 2). Im Vergleich dazu stieg die Anzahl stationärer Krankenhausfälle in Deutschland nur um 9,4 %, die der stationären dermatologischen Diagnosen (L00-L99) um 20,2 %.20092017Veränderung (%)Stationäre Fälle Skabies (n)8105816618,0Alle stationären Fälle in Deutschland (n)18.231.56919.952.7359,4Anteil Skabies pro 100.000 Krankenhausfälle4,429,1556,1Alle dermatologischen Diagnosen (n)252.203303.27220,2Stationäre Behandlungen wegen Skabies in Relation zu stationären dermatologischen Diagnosen (L00-L99) (%)0,31,9497,1 Dementsprechend stieg der Anteil der Skabiesfälle an den stationären Krankenhausfällen insgesamt um über 500 %, die Zahl der Skabiesfälle in Relation zur Zahl der stationären Hautdiagnosen stiegt ebenfalls überproportional um 497 %. Geht man von den ermittelten 127.952 ambulanten Fällen und 3860 stationären Fällen von Skabies in 2015 aus, so wurde ein Anteil von 3,0 % der ambulanten Fälle auch stationär behandelt. Dieser Quotient lag 2010 noch bei 1,3 % (815 stationäre Fälle auf 61.723 ambulante). Anteil der Fachabteilungen Hauptversorgende Abteilungen in 2017 (Tab. 1) waren die Dermatologie (73,5 % Anteil), gefolgt von der Pädiatrie (21,8 %) und der Allgemeinen Inneren Medizin (2,7 %). Lediglich 1,9 % wurden durch andere Fachabteilungen versorgt. Hauptversorgende Abteilungen in 2017 (Tab. 1) waren die Dermatologie (73,5 % Anteil), gefolgt von der Pädiatrie (21,8 %) und der Allgemeinen Inneren Medizin (2,7 %). Lediglich 1,9 % wurden durch andere Fachabteilungen versorgt. Primärdatenanalyse Das Durchschnittsalter der 200.000 untersuchten Personen in den Betrieben betrug 46,1 ± 9,8 Jahre, 53,5 % waren männlich, und der mittlere Body-Mass-Index (BMI) betrug 26,1 ± 4,4 kg/m2 [1]. Erwartungsgemäß wurde hier praktisch keine Skabies festgestellt. Grund hierfür sind a) der Healthy-Worker-Effekt, b) damit verbunden die fehlende Risikolage der meisten Beschäftigten für Skabies und c) die Akuität der Erkrankung, welche im Eintretensfall schnell zu versorgen und auszukurieren ist. Der sporadische Charakter der Erkrankung trägt auch allgemein zu einer geringen Verbreitung in Betrieben bei. Das Durchschnittsalter der 200.000 untersuchten Personen in den Betrieben betrug 46,1 ± 9,8 Jahre, 53,5 % waren männlich, und der mittlere Body-Mass-Index (BMI) betrug 26,1 ± 4,4 kg/m2 [1]. Erwartungsgemäß wurde hier praktisch keine Skabies festgestellt. Grund hierfür sind a) der Healthy-Worker-Effekt, b) damit verbunden die fehlende Risikolage der meisten Beschäftigten für Skabies und c) die Akuität der Erkrankung, welche im Eintretensfall schnell zu versorgen und auszukurieren ist. Der sporadische Charakter der Erkrankung trägt auch allgemein zu einer geringen Verbreitung in Betrieben bei. Ambulante Versorgung: Die Leistungen in der ambulanten Versorgung wurden anhand der GKV-Daten analysiert. Insgesamt wurden im Jahr 2015 innerhalb der Stichprobe von 2,5 Mio. DAK-Versicherten n = 2684 Fälle (0,107 %) verzeichnet (Abb. 1) gegenüber n = 1757 Fällen in 2010. Damit lag der Anstieg an Behandlungen zwischen 2010 und 2015 bei 52,8 %. Aus diesen Daten resultiert eine hochgerechnete nicht-adjustierte Prävalenz der ambulant behandelten Skabies in Deutschland für das Jahr 2015 von etwa 0,107 %, entsprechend 88.000 Fällen. Häufigkeit der stationären Fälle von Skabies: Im Jahr 2016 wurden von Destatis n = 3860 stationäre Fälle der Diagnose Skabies/ICD-10 B86 dokumentiert (Abb. 2). Betroffen waren alle Altersgruppen, wobei ein Schwerpunkt bei Kindern und jungen Erwachsenen bis 25 Jahre zu erkennen ist (Abb. 2a). Bezogen auf 100.000 stationäre Fälle pro Altersgruppen lag der Anteil der Skabies im Alter von 15 bis 20 Jahren mit über 200/100.000 am höchsten (Abb. 2b). Für 2017 liegen in der Berichterstattung von Destatis zum Zeitpunkt der Analyse nur die stationären Behandlungstage vor, nicht aber die Fälle. Von diesen Fällen betrafen 51 % Männer und 49 % Frauen, die insgesamt 21.976 stationäre Behandlungstage induzierten (Tab. 1).FachabteilungMänner (n)Frauen (n)Gesamt (n)Anteil weiblich (%)Anteil Fachgruppe (%)Dermatologie8386777216.15848,173,5Pädiatrie23052491479651,921,8Innere Medizin37622860437,72,7Andere23318541844,31,9Gesamt11.30010.67621.97648,6100,0 Verlauf der stationären Fälle 2000 bis 2017: Im Verlauf von 2000 bis 2017 zeigt sich ein U‑förmiger Verlauf: Während in den Jahren 2000 bis 2006 noch über 1000 Fälle als stationäre Hauptdiagnosen dokumentiert wurden, sank dieser Anteil nachfolgend bis auf 810 im Jahr 2009 (Abb. 3). Seit dem Jahr 2014 ist wieder ein markanter, bisher anhaltender Anstieg zu verzeichnen. Im Vergleich der Jahre 2009 bis 2017 lässt sich insgesamt ein Anstieg der stationären Fälle von 810 um 376,5 % auf 5816 feststellen (Tab. 2). Im Vergleich dazu stieg die Anzahl stationärer Krankenhausfälle in Deutschland nur um 9,4 %, die der stationären dermatologischen Diagnosen (L00-L99) um 20,2 %.20092017Veränderung (%)Stationäre Fälle Skabies (n)8105816618,0Alle stationären Fälle in Deutschland (n)18.231.56919.952.7359,4Anteil Skabies pro 100.000 Krankenhausfälle4,429,1556,1Alle dermatologischen Diagnosen (n)252.203303.27220,2Stationäre Behandlungen wegen Skabies in Relation zu stationären dermatologischen Diagnosen (L00-L99) (%)0,31,9497,1 Dementsprechend stieg der Anteil der Skabiesfälle an den stationären Krankenhausfällen insgesamt um über 500 %, die Zahl der Skabiesfälle in Relation zur Zahl der stationären Hautdiagnosen stiegt ebenfalls überproportional um 497 %. Geht man von den ermittelten 127.952 ambulanten Fällen und 3860 stationären Fällen von Skabies in 2015 aus, so wurde ein Anteil von 3,0 % der ambulanten Fälle auch stationär behandelt. Dieser Quotient lag 2010 noch bei 1,3 % (815 stationäre Fälle auf 61.723 ambulante). Anteil der Fachabteilungen: Hauptversorgende Abteilungen in 2017 (Tab. 1) waren die Dermatologie (73,5 % Anteil), gefolgt von der Pädiatrie (21,8 %) und der Allgemeinen Inneren Medizin (2,7 %). Lediglich 1,9 % wurden durch andere Fachabteilungen versorgt. Primärdatenanalyse: Das Durchschnittsalter der 200.000 untersuchten Personen in den Betrieben betrug 46,1 ± 9,8 Jahre, 53,5 % waren männlich, und der mittlere Body-Mass-Index (BMI) betrug 26,1 ± 4,4 kg/m2 [1]. Erwartungsgemäß wurde hier praktisch keine Skabies festgestellt. Grund hierfür sind a) der Healthy-Worker-Effekt, b) damit verbunden die fehlende Risikolage der meisten Beschäftigten für Skabies und c) die Akuität der Erkrankung, welche im Eintretensfall schnell zu versorgen und auszukurieren ist. Der sporadische Charakter der Erkrankung trägt auch allgemein zu einer geringen Verbreitung in Betrieben bei. Diskussion: Ziel der vorliegenden Analyse war die Ermittlung der Prävalenz von Skabies in Deutschland und daraus die Ableitung des aktuellen und des zukünftigen Versorgungsbedarfes. Sowohl die ambulanten wie auch die stationären Behandlungsdaten lassen eine klare Tendenz zu einer erhöhten Skabiesprävalenz seit 2010 erkennen. Besonders stark ist der Anstieg seit 2014. Daraus ergibt sich unmittelbar ein ebenfalls gestiegener, genereller Versorgungsbedarf. Diese Daten bestätigen Annahmen der AWMF-Leitlinie [14] und der Sekundärliteratur [13] sowie Berichte in den Medien, die bislang jedoch nicht wissenschaftlich hinterlegt waren. Der besonders stark gestiegene Anteil stationärer Behandlungen bedarf einer gesonderten Betrachtung. Der zwischen 2000 und 2006 beobachtete Abfall dieser stationären Fälle war vermutlich durch die Wandlung des stationären Versorgungssystems im Zuge der G‑DRG(German Diagnosis Related Groups)-Einführung und der Verlagerung von Behandlungen in den ambulanten Bereich bedingt. Angesichts der seitdem nicht mehr veränderten stationären Vergütungsstruktur lassen sich die erneuten Anstiege stationärer Fälle in den letzten Jahren nicht mit entsprechenden Anreizen, sondern einem tatsächlichen Mehrbedarf erklären. Da ein Großteil der Skabieserkrankungen bei rechtzeitiger Diagnosestellung ambulant beherrschbar ist, könnte der Anstieg an zu spät erkannten oder aufgrund sozialer Umstände nicht hinreichend kontrollierbaren Fällen liegen. Inwieweit auch therapierefraktäre Verläufe, Resistenzen oder eine unzureichende diagnostische und therapeutische Versorgungsqualität zu dem Anstieg der stationären Fälle beigetragen haben, bedarf weitergehender, versorgungswissenschaftlicher Analysen. Eine Limitation der Nutzung von Sekundärdaten aus den gesetzlichen Krankenversicherungen und der Berichterstattung des Bundes ist die fehlende Prüfbarkeit der Diagnosen, die weit überwiegend klinisch gestellt worden sein dürften. Dieser Umstand gilt jedoch für den gesamten Beobachtungszeitraum in gleicher Weise, sodass wir hier keine systematische Verzerrung erwarten. Die vorliegenden Daten unterstreichen, dass die Skabies zukünftig auch in Deutschland eine stärkere klinische und versorgungswissenschaftliche Forschung benötigt. Hierzu zählen neben der Epidemiologie auch die Resistenzforschung an den zugelassenen Arzneimitteln sowie die Entwicklung neuer Wirkstoffe. In der medizinischen Versorgung ist anzustreben, die Skabies noch stärker in die Wahrnehmung der Ärzteschaft und der Sozialeinrichtungen zu bringen. Sowohl in der ambulanten wie auch in der stationären Dermatologie gilt es, die Versorgung der Skabies durch innovative Versorgungskonzepte und bessere Kooperationen zwischen den Gesundheitsbehörden, den Trägern der Sozialeinrichtungen und der Ärzteschaft weiterzuentwickeln und die Risikogruppen für das massenweise Auftreten frühzeitig zu identifizieren. Limitationen: Durch die Datengrundlage ergeben sich folgende Limitationen:fehlende Verifizierung der Diagnosen durch Fachärzte für Dermatologie, da es sich um eine Sekundärdatenanalyse von GKV-Daten handelt,keine reinen bevölkerungsbezogenen Prävalenzdaten, sondern nur Angaben zur Behandlungsprävalenz,Dunkelziffer an Skabiesfällen kann nur mittels Primärdatenanalysen durch aufwendige Populationsstudien ermittelt werden. fehlende Verifizierung der Diagnosen durch Fachärzte für Dermatologie, da es sich um eine Sekundärdatenanalyse von GKV-Daten handelt, keine reinen bevölkerungsbezogenen Prävalenzdaten, sondern nur Angaben zur Behandlungsprävalenz, Dunkelziffer an Skabiesfällen kann nur mittels Primärdatenanalysen durch aufwendige Populationsstudien ermittelt werden. Ausblick: Vorerst ist auf der Basis der vorliegenden Daten davon auszugehen, dass auf allen Ebenen interveniert werden sollte: a) Forcierung der Primär- und Sekundärprävention in Risikogruppen, b) frühzeitigere Entdeckung von Skabiesfällen durch mehr Aufklärung und edukatorische Maßnahmen in den Gesundheitsberufen, c) Tertiärprävention bei erkannten Risikogruppen und d) konsequente Nutzung der therapeutischen Optionen nach Leitlinie. Aufgrund ihrer deutlich gestiegenen Prävalenz kommt die Skabies nicht nur als Primärdiagnose vor. An sie muss auch in der Differenzialdiagnostik von Dermatosen gedacht werden. Fazit für die Praxis: Aufgrund ihrer deutlich gestiegenen Prävalenz kommt die Skabies nicht nur als Primärdiagnose vor. An sie muss auch in der Differenzialdiagnostik von Dermatosen gedacht werden.Das Management der Erkrankung geht über die Dermatotherapie weit hinaus und umfasst insbesondere das Verhaltensmanagement. Für die Praxis ist der Einsatz digitaler Techniken (Online-Informationen, Hinweisvideos) zur Unterstützung des Dermatologen empfehlenswert.Aufgrund der nur mäßigen Compliance bei vielen Patienten bieten sich digitale Apps mit Recall-Funktionen zur Gewährleistung der Karenzmaßnahmen an. Aufgrund ihrer deutlich gestiegenen Prävalenz kommt die Skabies nicht nur als Primärdiagnose vor. An sie muss auch in der Differenzialdiagnostik von Dermatosen gedacht werden. Das Management der Erkrankung geht über die Dermatotherapie weit hinaus und umfasst insbesondere das Verhaltensmanagement. Für die Praxis ist der Einsatz digitaler Techniken (Online-Informationen, Hinweisvideos) zur Unterstützung des Dermatologen empfehlenswert. Aufgrund der nur mäßigen Compliance bei vielen Patienten bieten sich digitale Apps mit Recall-Funktionen zur Gewährleistung der Karenzmaßnahmen an.
Background: Scabies is one of the most common and, in terms of burden of disease, one of the most significant skin diseases worldwide. In Germany, an increase in cases is currently being discussed, for which reliable data have been lacking until now. Methods: Multisource analyses of treatment data from a nationwide statutory health insurance company, the Federal Statistical Office and company skin screenings. Results: In Germany, the number of cases of scabies has been rising since 2009 and especially since 2014. In the outpatient setting, there was an increase of 52.8% to around 128,000 treatment cases between 2010 and 2015. Currently, more than 11,000 inpatient cases are documented annually in Germany with scabies as the main diagnosis (ICD-10 B86). The increase between 2010 and 2016 was about 306%. The main outpatient specialist groups providing care are dermatologists and general practitioners, while in the inpatient sector treatment is provided by departments of dermatology, paediatrics and internal medicine. Conclusions: Due to the aforementioned development of prevalence and incidence, the need for care will remain at a high level in the future, which suggests an increased need for education and early detection.
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[ 182, 75, 965, 107, 68, 146, 44, 70, 31, 1404, 105, 154, 260, 50, 119, 390, 101, 93 ]
19
[ "der", "die", "und", "von", "skabies", "stationären", "fälle", "wurden", "daten", "im" ]
[ "versorgungsbedarf für skabies", "epidemiologie von skabies", "großteil der skabieserkrankungen", "diagnose skabies", "skabies deutschland und" ]
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[CONTENT] Hautkrankheiten | Versorgungsforschung | Krankenkassen | Häufigkeit | Multi-Source-Analyse | Skin diseases | Health services research | Sickness funds | Frequency | Multi-source analysis [SUMMARY]
[CONTENT] Hautkrankheiten | Versorgungsforschung | Krankenkassen | Häufigkeit | Multi-Source-Analyse | Skin diseases | Health services research | Sickness funds | Frequency | Multi-source analysis [SUMMARY]
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[CONTENT] Child | Germany | Hospitalization | Humans | Incidence | National Health Programs | Scabies [SUMMARY]
[CONTENT] Child | Germany | Hospitalization | Humans | Incidence | National Health Programs | Scabies [SUMMARY]
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[CONTENT] versorgungsbedarf für skabies | epidemiologie von skabies | großteil der skabieserkrankungen | diagnose skabies | skabies deutschland und [SUMMARY]
[CONTENT] versorgungsbedarf für skabies | epidemiologie von skabies | großteil der skabieserkrankungen | diagnose skabies | skabies deutschland und [SUMMARY]
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[CONTENT] der | die | und | von | skabies | stationären | fälle | wurden | daten | im [SUMMARY]
[CONTENT] der | die | und | von | skabies | stationären | fälle | wurden | daten | im [SUMMARY]
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[CONTENT] aufgrund | der | das | zur | nur | die | der nur mäßigen | praxis ist der | die praxis | die praxis ist [SUMMARY]
[CONTENT] der | die | und | skabies | von | wurden | daten | auf | stationären | fälle [SUMMARY]
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[CONTENT] [SUMMARY]
[CONTENT] one ||| Germany ||| the Federal Statistical Office ||| ||| Germany | 2009 | 2014 ||| 52.8% | around 128,000 | between 2010 and 2015 ||| more than 11,000 | annually | Germany | B86 ||| between 2010 and 2016 | about 306% ||| ||| [SUMMARY]
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Demography of Total Joint Replacement Surgeries Performed in a Tertiary Care Hospital: A Cross-sectional Survey.
35199755
Total joint replacement of hip and knee is considered as one of the most successful orthopedic surgeries in the twenty-first century because of the only solution to end-stage arthritis of these joints. The real burden of the problem is yet to be established in developing countries like Nepal. This study aims to describe the demographic findings of the joint replacement surgeries among total lower limb surgeries in a tertiary care hospital.
INTRODUCTION
This cross-sectional survey was conducted using the hospital records of 73 total joint replacement surgeries of the lower limb in the Department of Orthopedics of a tertiary care hospital from November 2016 to November 2020. Ethical approval was taken from the Institutional Review Committee (reference number: 077/78-011). Convenience sampling was done. Data analysis was done using the Statistical Package for the Social Sciences version 20. Point estimate at 95% Confidence Interval was calculated along with frequency and percentage for binary data.
METHODS
There were 73 total joint replacement of hips and knees. Of which, 32 (43.84%) total hip replacements were done in which one (3.13%) patient had a simultaneous bilateral hip replacement in single-stage and the other one (3.13%) had two-stage bilateral hip replacement. Forty one (56.16%) total knee replacements were done in which 18 (24.65%) had a simultaneous bilateral knee replacement and five (6.85%) had a unilateral knee replacement.
RESULTS
Total joint replacements of the hip were more common among the lower limb surgeries.
CONCLUSIONS
[ "Arthroplasty, Replacement, Hip", "Arthroplasty, Replacement, Knee", "Cross-Sectional Studies", "Demography", "Humans", "Tertiary Care Centers" ]
9124317
INTRODUCTION
Total hip replacement (THR) and total knee replacement (TKR) are usually performed as curative treatment in end-stage arthritis. They are becoming increasingly prevalent and an increasing range of techniques and materials are now available aiming to relieve pain and restore joint function.1-3 Radiographic severity and patient-related pain and functions play a major role in surgeons' recommendation for total joint replacement.4 The most frequent condition for both THR and TKR is Osteoarthritis followed by Rheumatoid arthritis, Avascular necrosis, and fractures. Results are better with these procedures. The prevalence and incidence rates of THR and TKR depend on socioeconomic status and healthcare systems, patient preferences, and prevalence of osteoarthritis.5 Very few hospitals outside the capital of Nepal are performing total joint replacement surgery in our part of the world and there are few relevant studies on the topic. This study aims to describe the demographic profile of patients undergoing lower limb total joint replacement surgeries in a tertiary care hospital.
METHODS
This cross-sectional survey was conducted at the Orthopedic Department of Bharatpur Hospital over 4 years, from November 2016 to November 2020. The ethical clearance was taken from the Institutional Review Committee (IRC) of Bharatpur Hospital (Ref: 077/78-011) dated July 14, 2021. All the hospital records of patients above 18 years of age who underwent lower limb surgeries were included. Patients with incomplete records, missing data, revision replacement surgeries were excluded. Preoperative written consent was taken from all the patients. Convenience sampling was done and the sample size was calculated as, n = Z2 × p × q / e2   = (1.96)2 × (0.5) × (1-0.5) / (0.1)2   = 68 Where, n= required sample size, Z= 1.96 at 95% Confidence Interval (CI), p= prevalence taken as 50% for maximum sample size, q= 1-p e= margin of error, 10% The minimum required sample size was 68. However, data was collected from 73 patient records. The variables collected were age, gender, address, preoperative diagnosis, type and side of arthroplasty. Complications after surgery were also recorded. The postero-lateral approach was used for THR in lateral decubitus position and the midline anterior medial parapatellar approach was used for TKR.6 We used one gram of intravenous tranexamic acid thirty minutes prior to incision for both THR and TKR patients and used a tourniquet for TKR to reduce perioperative bleeding.7 All of our patients of hip and knee replacement were done under epidural anaesthesia followed by subcutaneous injection of low molecular weight heparin 40mg for 5 days from the first postoperative day to prevent deep venous thrombosis.8 Postoperative follow up of patients were done at1 month, 6 months and then yearly. All patients underwent cemented TKR, elderly osteoporotic patients underwent cemented THR and younger individuals underwent uncemented THR for easier later revision.9 Statistical analyses were performed using the Statistical Package for the Social Sciences software (version 20). Point estimate at 95% CI was calculated along with frequency and percentage for binary data.
RESULTS
There were 53 patients among which 18 (34%) were male and 35 (66%) were female with a male to female ratio of 1:1.94 (Figure 1). Age ranged from 21 years to 86 years with the mean age 56.91±15.12 years. The commonest cause of total hip and knee replacement was primary osteoarthritis in 27 (50.9%). In the hip, the second commonest cause was avascular necrosis of the femoral head 11 (20.8%) whereas in the knee the second commonest cause was rheumatoid arthritis 8 (15.1%) (Table 1). Others were fromMakwanpur, Kathmandu, Syangja, and Rukum. AmongTHR majority were left-sided 17 (56.67%) (Table 2). Among TKR majority were bilateral 28 (78.26%) and all cemented (Table 3). Few complications encountered among which one (1.9%) TKR had a superficial infection that healed with antibiotics and secondary suture, another TKR in the valgus knee, one (1.9%), had common peroneal nerve (CPN) palsy that was recovered within three months of physiotherapy, two (3.8%) THR had perioperative periprosthetic fracture managed with circlage wiring and delayed weight-bearing, one (1.9%) THR had dislocation managed with closed reduction and traction for four weeks and three (5.7%) deaths within one and a half to two years (Table 4).
CONCLUSIONS
Total joint replacement of hip and knee is the ultimate solution for end-stage arthritis of these joints. There is no individual significant predictor of complications in patients subjected to total joint replacement. Singlestage bilateral TKR can be considered safe in regards to complications. Orthopedic surgeons and patients should be aware of possible complications and take necessary preventive measures.
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[ "INTRODUCTION", "METHODS", "RESULTS", "DISCUSSION", "CONCLUSIONS" ]
[ "Total hip replacement (THR) and total knee replacement (TKR) are usually performed as curative treatment in end-stage arthritis. They are becoming increasingly prevalent and an increasing range of techniques and materials are now available aiming to relieve pain and restore joint function.1-3\nRadiographic severity and patient-related pain and functions play a major role in surgeons' recommendation for total joint replacement.4 The most frequent condition for both THR and TKR is Osteoarthritis followed by Rheumatoid arthritis, Avascular necrosis, and fractures. Results are better with these procedures. The prevalence and incidence rates of THR and TKR depend on socioeconomic status and healthcare systems, patient preferences, and prevalence of osteoarthritis.5 Very few hospitals outside the capital of Nepal are performing total joint replacement surgery in our part of the world and there are few relevant studies on the topic.\nThis study aims to describe the demographic profile of patients undergoing lower limb total joint replacement surgeries in a tertiary care hospital.", "This cross-sectional survey was conducted at the Orthopedic Department of Bharatpur Hospital over 4 years, from November 2016 to November 2020. The ethical clearance was taken from the Institutional Review Committee (IRC) of Bharatpur Hospital (Ref: 077/78-011) dated July 14, 2021. All the hospital records of patients above 18 years of age who underwent lower limb surgeries were included. Patients with incomplete records, missing data, revision replacement surgeries were excluded. Preoperative written consent was taken from all the patients. Convenience sampling was done and the sample size was calculated as,\nn = Z2 × p × q / e2\n  = (1.96)2 × (0.5) × (1-0.5) / (0.1)2\n  = 68\nWhere,\nn= required sample size,\nZ= 1.96 at 95% Confidence Interval (CI),\np= prevalence taken as 50% for maximum sample size,\nq= 1-p\ne= margin of error, 10%\nThe minimum required sample size was 68. However, data was collected from 73 patient records. The variables collected were age, gender, address, preoperative diagnosis, type and side of arthroplasty. Complications after surgery were also recorded.\nThe postero-lateral approach was used for THR in lateral decubitus position and the midline anterior medial parapatellar approach was used for TKR.6 We used one gram of intravenous tranexamic acid thirty minutes prior to incision for both THR and TKR patients and used a tourniquet for TKR to reduce perioperative bleeding.7 All of our patients of hip and knee replacement were done under epidural anaesthesia followed by subcutaneous injection of low molecular weight heparin 40mg for 5 days from the first postoperative day to prevent deep venous thrombosis.8 Postoperative follow up of patients were done at1 month, 6 months and then yearly. All patients underwent cemented TKR, elderly osteoporotic patients underwent cemented THR and younger individuals underwent uncemented THR for easier later revision.9\nStatistical analyses were performed using the Statistical Package for the Social Sciences software (version 20). Point estimate at 95% CI was calculated along with frequency and percentage for binary data.", "There were 53 patients among which 18 (34%) were male and 35 (66%) were female with a male to female ratio of 1:1.94 (Figure 1).\nAge ranged from 21 years to 86 years with the mean age 56.91±15.12 years. The commonest cause of total hip and knee replacement was primary osteoarthritis in 27 (50.9%). In the hip, the second commonest cause was avascular necrosis of the femoral head 11 (20.8%) whereas in the knee the second commonest cause was rheumatoid arthritis 8 (15.1%) (Table 1).\nOthers were fromMakwanpur, Kathmandu, Syangja, and Rukum. AmongTHR majority were left-sided 17 (56.67%) (Table 2).\nAmong TKR majority were bilateral 28 (78.26%) and all cemented (Table 3).\nFew complications encountered among which one (1.9%) TKR had a superficial infection that healed with antibiotics and secondary suture, another TKR in the valgus knee, one (1.9%), had common peroneal nerve (CPN) palsy that was recovered within three months of physiotherapy, two (3.8%) THR had perioperative periprosthetic fracture managed with circlage wiring and delayed weight-bearing, one (1.9%) THR had dislocation managed with closed reduction and traction for four weeks and three (5.7%) deaths within one and a half to two years (Table 4).", "Hip and knee replacement are common surgical procedures for better mobility and quality of life. The results showed similar demographic characteristics to those published studies,5,10-12 that is, the majority of patients were above 65 years and the commonest cause of total joint replacement was primary osteoarthritis followed by rheumatoid arthritis, avascular necrosis, and others.\nRegarding gender, females have more incidence and prevalence of total knee replacement and males have more incidence and prevalence of total hip replacement as supported by various previous literature.13,14 Our patients had more female patients in TKR candidates whereas near an equal number of both genders in THR candidates. We had very few total joint replacement candidates compared to the developed world that might be because of lack of awareness, increased cost of implants, and no insurance policy.15 Most of our patients with TKR were simultaneous bilateral replacements which we found to be safe, effective with early functional recovery, higher patient satisfaction, and cost-effective in properly selected candidates similar to K.C KM et al.16 On geographical variation, most of our patients were local from Chitwan followed by nearby districts Nawalparasi, Makwanpur and some of them were far from Chitwan like Syanja, Rukum and Kathmandu.\nEpidural anaesthesia has shown decreased incidence of deep venous thrombosis in these patients.8 All of our patients of hip and knee replacement were done under epidural anaesthesia followed by subcutaneous injection of low molecular weight heparin 40mg for 5 days from the first postoperative day to prevent deep venous thrombosis.\nTotal joint arthroplasty is associated with high blood loss that may need blood transfusions. The published studies favor the use of tranexamic acid as a safe and effective method of reducing blood loss.7 Our patients have no previous history of thromboembolic episodes and we used one gram of intravenous tranexamic acid thirty minutes before incision to reduce perioperative bleeding.\nAlthough THR and TKR are relatively safe procedures, complications related to or not related to surgery were observed, warning of necessary precautions. Surgical site infection is a serious adverse event in total joint replacement. The incidence of infection in TKR is around 2%. We encountered one superficial wound infection in a lady with total knee replaced in post tubercular knee treated with antibiotics and secondary closure. Patients with Rheumatoid arthritis (RA) are prone to develop the prosthetic joint infection.17 But we did not encounter such complications in our RA patients.\nEarly dislocation rate in total hip arthroplasty varies.6,18 But it is more common in the posterolateral approach. We also use the posterolateral approach and encountered one dislocation that was managed with closed reduction and skin traction for 4 weeks.\nCommon peroneal nerve (CPN) palsy in post-TKR is relatively rare, estimating around 0.4% that too is more common in Rheumatoid and valgus knees.19,20 We had also one lady with Rheumatoid and valgus knee where we performed simultaneous bilateral total knee arthroplasty in a single setting but she suffered from CPN palsy postoperatively in the left knee that recovered completely after 3 months of physiotherapy.\nWith an increase in the incidence of total joint replacements, there is a corresponding increase in the prevalence of periprosthetic fractures.21 We had two perioperative periprosthetic fractures during THR, one patient with Ankylosing spondylitis who underwent uncemented THR and one elderly osteoporotic lady with the cemented femoral stem. Both were Vancouver type A that was managed with circlage wiring and nonweight-bearing for 6 weeks.\nMortality after total joint replacement is mostly due to comorbid illness and pneumonia.22,23 We had three deaths. One man with bilateral knee replaced died after 2 years of surgery due to uncontrolled diabetes and hypertension. Another lady with bilateral knee replacement died one and a half years after she was diagnosed with lung cancer 6 months before her mortality. The third lady also died after 2 years of her right knee replaced due to an advanced stage of Parkinsonism.\nThe limitation of our study is it is a retrospective study with fewer sample size. It is also a single-center study. The socioeconomic status of the patients could not be assessed which is one of the major factors to undergo this type of surgery. A multicentric study with a larger sample size is recommended to validate the findings of our study.", "Total joint replacement of hip and knee is the ultimate solution for end-stage arthritis of these joints. There is no individual significant predictor of complications in patients subjected to total joint replacement. Singlestage bilateral TKR can be considered safe in regards to complications. Orthopedic surgeons and patients should be aware of possible complications and take necessary preventive measures." ]
[ "intro", "methods", "results", "discussion", "conclusions" ]
[ "\ndemography\n", "\nosteoarthritis\n", "\ntotal hip replacement\n", "\ntotal knee replacement\n" ]
INTRODUCTION: Total hip replacement (THR) and total knee replacement (TKR) are usually performed as curative treatment in end-stage arthritis. They are becoming increasingly prevalent and an increasing range of techniques and materials are now available aiming to relieve pain and restore joint function.1-3 Radiographic severity and patient-related pain and functions play a major role in surgeons' recommendation for total joint replacement.4 The most frequent condition for both THR and TKR is Osteoarthritis followed by Rheumatoid arthritis, Avascular necrosis, and fractures. Results are better with these procedures. The prevalence and incidence rates of THR and TKR depend on socioeconomic status and healthcare systems, patient preferences, and prevalence of osteoarthritis.5 Very few hospitals outside the capital of Nepal are performing total joint replacement surgery in our part of the world and there are few relevant studies on the topic. This study aims to describe the demographic profile of patients undergoing lower limb total joint replacement surgeries in a tertiary care hospital. METHODS: This cross-sectional survey was conducted at the Orthopedic Department of Bharatpur Hospital over 4 years, from November 2016 to November 2020. The ethical clearance was taken from the Institutional Review Committee (IRC) of Bharatpur Hospital (Ref: 077/78-011) dated July 14, 2021. All the hospital records of patients above 18 years of age who underwent lower limb surgeries were included. Patients with incomplete records, missing data, revision replacement surgeries were excluded. Preoperative written consent was taken from all the patients. Convenience sampling was done and the sample size was calculated as, n = Z2 × p × q / e2   = (1.96)2 × (0.5) × (1-0.5) / (0.1)2   = 68 Where, n= required sample size, Z= 1.96 at 95% Confidence Interval (CI), p= prevalence taken as 50% for maximum sample size, q= 1-p e= margin of error, 10% The minimum required sample size was 68. However, data was collected from 73 patient records. The variables collected were age, gender, address, preoperative diagnosis, type and side of arthroplasty. Complications after surgery were also recorded. The postero-lateral approach was used for THR in lateral decubitus position and the midline anterior medial parapatellar approach was used for TKR.6 We used one gram of intravenous tranexamic acid thirty minutes prior to incision for both THR and TKR patients and used a tourniquet for TKR to reduce perioperative bleeding.7 All of our patients of hip and knee replacement were done under epidural anaesthesia followed by subcutaneous injection of low molecular weight heparin 40mg for 5 days from the first postoperative day to prevent deep venous thrombosis.8 Postoperative follow up of patients were done at1 month, 6 months and then yearly. All patients underwent cemented TKR, elderly osteoporotic patients underwent cemented THR and younger individuals underwent uncemented THR for easier later revision.9 Statistical analyses were performed using the Statistical Package for the Social Sciences software (version 20). Point estimate at 95% CI was calculated along with frequency and percentage for binary data. RESULTS: There were 53 patients among which 18 (34%) were male and 35 (66%) were female with a male to female ratio of 1:1.94 (Figure 1). Age ranged from 21 years to 86 years with the mean age 56.91±15.12 years. The commonest cause of total hip and knee replacement was primary osteoarthritis in 27 (50.9%). In the hip, the second commonest cause was avascular necrosis of the femoral head 11 (20.8%) whereas in the knee the second commonest cause was rheumatoid arthritis 8 (15.1%) (Table 1). Others were fromMakwanpur, Kathmandu, Syangja, and Rukum. AmongTHR majority were left-sided 17 (56.67%) (Table 2). Among TKR majority were bilateral 28 (78.26%) and all cemented (Table 3). Few complications encountered among which one (1.9%) TKR had a superficial infection that healed with antibiotics and secondary suture, another TKR in the valgus knee, one (1.9%), had common peroneal nerve (CPN) palsy that was recovered within three months of physiotherapy, two (3.8%) THR had perioperative periprosthetic fracture managed with circlage wiring and delayed weight-bearing, one (1.9%) THR had dislocation managed with closed reduction and traction for four weeks and three (5.7%) deaths within one and a half to two years (Table 4). DISCUSSION: Hip and knee replacement are common surgical procedures for better mobility and quality of life. The results showed similar demographic characteristics to those published studies,5,10-12 that is, the majority of patients were above 65 years and the commonest cause of total joint replacement was primary osteoarthritis followed by rheumatoid arthritis, avascular necrosis, and others. Regarding gender, females have more incidence and prevalence of total knee replacement and males have more incidence and prevalence of total hip replacement as supported by various previous literature.13,14 Our patients had more female patients in TKR candidates whereas near an equal number of both genders in THR candidates. We had very few total joint replacement candidates compared to the developed world that might be because of lack of awareness, increased cost of implants, and no insurance policy.15 Most of our patients with TKR were simultaneous bilateral replacements which we found to be safe, effective with early functional recovery, higher patient satisfaction, and cost-effective in properly selected candidates similar to K.C KM et al.16 On geographical variation, most of our patients were local from Chitwan followed by nearby districts Nawalparasi, Makwanpur and some of them were far from Chitwan like Syanja, Rukum and Kathmandu. Epidural anaesthesia has shown decreased incidence of deep venous thrombosis in these patients.8 All of our patients of hip and knee replacement were done under epidural anaesthesia followed by subcutaneous injection of low molecular weight heparin 40mg for 5 days from the first postoperative day to prevent deep venous thrombosis. Total joint arthroplasty is associated with high blood loss that may need blood transfusions. The published studies favor the use of tranexamic acid as a safe and effective method of reducing blood loss.7 Our patients have no previous history of thromboembolic episodes and we used one gram of intravenous tranexamic acid thirty minutes before incision to reduce perioperative bleeding. Although THR and TKR are relatively safe procedures, complications related to or not related to surgery were observed, warning of necessary precautions. Surgical site infection is a serious adverse event in total joint replacement. The incidence of infection in TKR is around 2%. We encountered one superficial wound infection in a lady with total knee replaced in post tubercular knee treated with antibiotics and secondary closure. Patients with Rheumatoid arthritis (RA) are prone to develop the prosthetic joint infection.17 But we did not encounter such complications in our RA patients. Early dislocation rate in total hip arthroplasty varies.6,18 But it is more common in the posterolateral approach. We also use the posterolateral approach and encountered one dislocation that was managed with closed reduction and skin traction for 4 weeks. Common peroneal nerve (CPN) palsy in post-TKR is relatively rare, estimating around 0.4% that too is more common in Rheumatoid and valgus knees.19,20 We had also one lady with Rheumatoid and valgus knee where we performed simultaneous bilateral total knee arthroplasty in a single setting but she suffered from CPN palsy postoperatively in the left knee that recovered completely after 3 months of physiotherapy. With an increase in the incidence of total joint replacements, there is a corresponding increase in the prevalence of periprosthetic fractures.21 We had two perioperative periprosthetic fractures during THR, one patient with Ankylosing spondylitis who underwent uncemented THR and one elderly osteoporotic lady with the cemented femoral stem. Both were Vancouver type A that was managed with circlage wiring and nonweight-bearing for 6 weeks. Mortality after total joint replacement is mostly due to comorbid illness and pneumonia.22,23 We had three deaths. One man with bilateral knee replaced died after 2 years of surgery due to uncontrolled diabetes and hypertension. Another lady with bilateral knee replacement died one and a half years after she was diagnosed with lung cancer 6 months before her mortality. The third lady also died after 2 years of her right knee replaced due to an advanced stage of Parkinsonism. The limitation of our study is it is a retrospective study with fewer sample size. It is also a single-center study. The socioeconomic status of the patients could not be assessed which is one of the major factors to undergo this type of surgery. A multicentric study with a larger sample size is recommended to validate the findings of our study. CONCLUSIONS: Total joint replacement of hip and knee is the ultimate solution for end-stage arthritis of these joints. There is no individual significant predictor of complications in patients subjected to total joint replacement. Singlestage bilateral TKR can be considered safe in regards to complications. Orthopedic surgeons and patients should be aware of possible complications and take necessary preventive measures.
Background: Total joint replacement of hip and knee is considered as one of the most successful orthopedic surgeries in the twenty-first century because of the only solution to end-stage arthritis of these joints. The real burden of the problem is yet to be established in developing countries like Nepal. This study aims to describe the demographic findings of the joint replacement surgeries among total lower limb surgeries in a tertiary care hospital. Methods: This cross-sectional survey was conducted using the hospital records of 73 total joint replacement surgeries of the lower limb in the Department of Orthopedics of a tertiary care hospital from November 2016 to November 2020. Ethical approval was taken from the Institutional Review Committee (reference number: 077/78-011). Convenience sampling was done. Data analysis was done using the Statistical Package for the Social Sciences version 20. Point estimate at 95% Confidence Interval was calculated along with frequency and percentage for binary data. Results: There were 73 total joint replacement of hips and knees. Of which, 32 (43.84%) total hip replacements were done in which one (3.13%) patient had a simultaneous bilateral hip replacement in single-stage and the other one (3.13%) had two-stage bilateral hip replacement. Forty one (56.16%) total knee replacements were done in which 18 (24.65%) had a simultaneous bilateral knee replacement and five (6.85%) had a unilateral knee replacement. Conclusions: Total joint replacements of the hip were more common among the lower limb surgeries.
INTRODUCTION: Total hip replacement (THR) and total knee replacement (TKR) are usually performed as curative treatment in end-stage arthritis. They are becoming increasingly prevalent and an increasing range of techniques and materials are now available aiming to relieve pain and restore joint function.1-3 Radiographic severity and patient-related pain and functions play a major role in surgeons' recommendation for total joint replacement.4 The most frequent condition for both THR and TKR is Osteoarthritis followed by Rheumatoid arthritis, Avascular necrosis, and fractures. Results are better with these procedures. The prevalence and incidence rates of THR and TKR depend on socioeconomic status and healthcare systems, patient preferences, and prevalence of osteoarthritis.5 Very few hospitals outside the capital of Nepal are performing total joint replacement surgery in our part of the world and there are few relevant studies on the topic. This study aims to describe the demographic profile of patients undergoing lower limb total joint replacement surgeries in a tertiary care hospital. CONCLUSIONS: Total joint replacement of hip and knee is the ultimate solution for end-stage arthritis of these joints. There is no individual significant predictor of complications in patients subjected to total joint replacement. Singlestage bilateral TKR can be considered safe in regards to complications. Orthopedic surgeons and patients should be aware of possible complications and take necessary preventive measures.
Background: Total joint replacement of hip and knee is considered as one of the most successful orthopedic surgeries in the twenty-first century because of the only solution to end-stage arthritis of these joints. The real burden of the problem is yet to be established in developing countries like Nepal. This study aims to describe the demographic findings of the joint replacement surgeries among total lower limb surgeries in a tertiary care hospital. Methods: This cross-sectional survey was conducted using the hospital records of 73 total joint replacement surgeries of the lower limb in the Department of Orthopedics of a tertiary care hospital from November 2016 to November 2020. Ethical approval was taken from the Institutional Review Committee (reference number: 077/78-011). Convenience sampling was done. Data analysis was done using the Statistical Package for the Social Sciences version 20. Point estimate at 95% Confidence Interval was calculated along with frequency and percentage for binary data. Results: There were 73 total joint replacement of hips and knees. Of which, 32 (43.84%) total hip replacements were done in which one (3.13%) patient had a simultaneous bilateral hip replacement in single-stage and the other one (3.13%) had two-stage bilateral hip replacement. Forty one (56.16%) total knee replacements were done in which 18 (24.65%) had a simultaneous bilateral knee replacement and five (6.85%) had a unilateral knee replacement. Conclusions: Total joint replacements of the hip were more common among the lower limb surgeries.
1,701
296
[]
5
[ "patients", "total", "replacement", "knee", "tkr", "thr", "joint", "total joint", "years", "total joint replacement" ]
[ "prevalence total knee", "hip knee replacement", "joint replacement surgery", "thr tkr osteoarthritis", "prevalence osteoarthritis hospitals" ]
[CONTENT] demography | osteoarthritis | total hip replacement | total knee replacement [SUMMARY]
[CONTENT] demography | osteoarthritis | total hip replacement | total knee replacement [SUMMARY]
[CONTENT] demography | osteoarthritis | total hip replacement | total knee replacement [SUMMARY]
[CONTENT] demography | osteoarthritis | total hip replacement | total knee replacement [SUMMARY]
[CONTENT] demography | osteoarthritis | total hip replacement | total knee replacement [SUMMARY]
[CONTENT] demography | osteoarthritis | total hip replacement | total knee replacement [SUMMARY]
[CONTENT] Arthroplasty, Replacement, Hip | Arthroplasty, Replacement, Knee | Cross-Sectional Studies | Demography | Humans | Tertiary Care Centers [SUMMARY]
[CONTENT] Arthroplasty, Replacement, Hip | Arthroplasty, Replacement, Knee | Cross-Sectional Studies | Demography | Humans | Tertiary Care Centers [SUMMARY]
[CONTENT] Arthroplasty, Replacement, Hip | Arthroplasty, Replacement, Knee | Cross-Sectional Studies | Demography | Humans | Tertiary Care Centers [SUMMARY]
[CONTENT] Arthroplasty, Replacement, Hip | Arthroplasty, Replacement, Knee | Cross-Sectional Studies | Demography | Humans | Tertiary Care Centers [SUMMARY]
[CONTENT] Arthroplasty, Replacement, Hip | Arthroplasty, Replacement, Knee | Cross-Sectional Studies | Demography | Humans | Tertiary Care Centers [SUMMARY]
[CONTENT] Arthroplasty, Replacement, Hip | Arthroplasty, Replacement, Knee | Cross-Sectional Studies | Demography | Humans | Tertiary Care Centers [SUMMARY]
[CONTENT] prevalence total knee | hip knee replacement | joint replacement surgery | thr tkr osteoarthritis | prevalence osteoarthritis hospitals [SUMMARY]
[CONTENT] prevalence total knee | hip knee replacement | joint replacement surgery | thr tkr osteoarthritis | prevalence osteoarthritis hospitals [SUMMARY]
[CONTENT] prevalence total knee | hip knee replacement | joint replacement surgery | thr tkr osteoarthritis | prevalence osteoarthritis hospitals [SUMMARY]
[CONTENT] prevalence total knee | hip knee replacement | joint replacement surgery | thr tkr osteoarthritis | prevalence osteoarthritis hospitals [SUMMARY]
[CONTENT] prevalence total knee | hip knee replacement | joint replacement surgery | thr tkr osteoarthritis | prevalence osteoarthritis hospitals [SUMMARY]
[CONTENT] prevalence total knee | hip knee replacement | joint replacement surgery | thr tkr osteoarthritis | prevalence osteoarthritis hospitals [SUMMARY]
[CONTENT] patients | total | replacement | knee | tkr | thr | joint | total joint | years | total joint replacement [SUMMARY]
[CONTENT] patients | total | replacement | knee | tkr | thr | joint | total joint | years | total joint replacement [SUMMARY]
[CONTENT] patients | total | replacement | knee | tkr | thr | joint | total joint | years | total joint replacement [SUMMARY]
[CONTENT] patients | total | replacement | knee | tkr | thr | joint | total joint | years | total joint replacement [SUMMARY]
[CONTENT] patients | total | replacement | knee | tkr | thr | joint | total joint | years | total joint replacement [SUMMARY]
[CONTENT] patients | total | replacement | knee | tkr | thr | joint | total joint | years | total joint replacement [SUMMARY]
[CONTENT] total | joint | replacement | total joint replacement | joint replacement | total joint | pain | thr | tkr | osteoarthritis [SUMMARY]
[CONTENT] patients | sample size | underwent | sample | size | taken | data | records | hospital | thr [SUMMARY]
[CONTENT] table | years | cause | commonest cause | commonest | second commonest | 56 | second | male | second commonest cause [SUMMARY]
[CONTENT] complications | joint | total joint | total joint replacement | joint replacement | total | bilateral tkr considered | safe regards complications | subjected total joint | subjected total [SUMMARY]
[CONTENT] total | patients | joint | replacement | total joint | tkr | total joint replacement | joint replacement | knee | thr [SUMMARY]
[CONTENT] total | patients | joint | replacement | total joint | tkr | total joint replacement | joint replacement | knee | thr [SUMMARY]
[CONTENT] the twenty-first century ||| Nepal ||| tertiary [SUMMARY]
[CONTENT] 73 | the Department of Orthopedics | tertiary | November 2016 to November 2020 ||| the Institutional Review Committee | 077/78 ||| ||| the Statistical Package | Social Sciences | 20 ||| Point | 95% [SUMMARY]
[CONTENT] 73 ||| 32 | 43.84% | 3.13% | 3.13% | two ||| Forty one | 56.16% | 18 | 24.65% | five | 6.85% [SUMMARY]
[CONTENT] [SUMMARY]
[CONTENT] the twenty-first century ||| Nepal ||| tertiary ||| 73 | the Department of Orthopedics | tertiary | November 2016 to November 2020 ||| the Institutional Review Committee | 077/78 ||| ||| the Statistical Package | Social Sciences | 20 ||| Point | 95% ||| 73 ||| 32 | 43.84% | 3.13% | 3.13% | two ||| Forty one | 56.16% | 18 | 24.65% | five | 6.85% ||| [SUMMARY]
[CONTENT] the twenty-first century ||| Nepal ||| tertiary ||| 73 | the Department of Orthopedics | tertiary | November 2016 to November 2020 ||| the Institutional Review Committee | 077/78 ||| ||| the Statistical Package | Social Sciences | 20 ||| Point | 95% ||| 73 ||| 32 | 43.84% | 3.13% | 3.13% | two ||| Forty one | 56.16% | 18 | 24.65% | five | 6.85% ||| [SUMMARY]
The Effectiveness of Oral Corticosteroids for Management of Lumbar Radiating Pain: Randomized, Controlled Trial Study.
27583108
Although both pregabalin and gabapentin are known to be useful for treating lumbar radiating pain and reducing the incidence of surgery, the oral corticosteroids sometimes offer a dramatic effect on severe radiating pain despite the lack of scientific evidence.
BACKGROUND
A total of 54 patients were enrolled among 703 patients who complained of lumbar radiating pain. Twenty patients who received an oral corticosteroid was classified as group A and 20 patients who received the control drugs (pregabalin or gabapentin) as group B. Oswestry Disability Index (ODI), Revised Roland Morris disability questionnaire (RMDQ), Short Form 36 (SF-36) questionnaire, lumbar radiating pain, objective patient satisfaction, and objective improvement of patients or physicians were assessed at 2, 6, and 12 weeks after medication.
METHODS
No difference in the sex ratio and age was observed between the groups (p = 0.70 and p = 0.13, respectively). Group A showed greater improvement in radiating pain after 2, 6, and 12 weeks than group B (p < 0.001, p = 0.001, and p < 0.001, respectively). No differences were observed between the groups in satisfaction at the beginning and 12 weeks after taking the medication (p = 0.062 and p = 0.061, respectively) and in objective improvement of patients and physicians (p = 0.657 and p = 0.748, respectively). Group A was less disabled and had greater physical health scores than group B (p = 0.014 and p = 0.017, respectively).
RESULTS
Oral corticosteroids for the treatment of lumbar radiating pain can be more effective in pain relief than gabapentin or pregabalin. The satisfaction of patients and physicians with the drug and objective improvement status were not inferior to that with gabapentin or pregabalin.
CONCLUSIONS
[ "Adolescent", "Adrenal Cortex Hormones", "Adult", "Aged", "Amines", "Analgesics", "Cyclohexanecarboxylic Acids", "Female", "Gabapentin", "Humans", "Low Back Pain", "Lumbosacral Region", "Male", "Middle Aged", "Patient Satisfaction", "Pregabalin", "Quality of Life", "Radiculopathy", "Surveys and Questionnaires", "Young Adult", "gamma-Aminobutyric Acid" ]
4987309
null
null
METHODS
Patient Selection This study was conducted with full approval of the Daegu Catholic University Medical Center Institutional Review Board (CR-14-049-L). Patient selection process and the overall trial design are shown in Fig. 1. A total 54 patients were enrolled among 703 patients who complained of lumbar radiating pain or pain needing medication (visual analog scale [VAS] > 3) and who had definite lumbar spinal nerve root compression findings on magnetic resonance imaging (MRI). The period of enrollment was from March 27, 2014 to February 28, 2015. The inclusion and exclusion criteria are presented in Table 1. The patients were sequentially enrolled into the study and prescribed to receive either an oral corticosteroid or control drugs according to the standard protocol: the odd-numbered patients received an oral corticosteroid (group A) and evennumbered patients received the control drugs (group B). Each group was comprised of 20 patients and 7 patients were lost during follow-up (Fig. 1). Group A patients were prescribed 4 mg triamcinolone (Ledercort; SK Chemical, Seongnam, Korea) twice daily for 2 weeks. Group B patients were prescribed either 7.5 mg pregabalin (Lyrica; Pfizer, Cambridge, MA, USA) twice daily for 2 weeks or 100 mg gabapentin (Neurontin; Pfizer) three times daily for 2 weeks. After the initial prescription, the drugs were tapered or doubled depending on side effects or the therapeutic effect, and the patients were monitored for 12 weeks. This study was conducted with full approval of the Daegu Catholic University Medical Center Institutional Review Board (CR-14-049-L). Patient selection process and the overall trial design are shown in Fig. 1. A total 54 patients were enrolled among 703 patients who complained of lumbar radiating pain or pain needing medication (visual analog scale [VAS] > 3) and who had definite lumbar spinal nerve root compression findings on magnetic resonance imaging (MRI). The period of enrollment was from March 27, 2014 to February 28, 2015. The inclusion and exclusion criteria are presented in Table 1. The patients were sequentially enrolled into the study and prescribed to receive either an oral corticosteroid or control drugs according to the standard protocol: the odd-numbered patients received an oral corticosteroid (group A) and evennumbered patients received the control drugs (group B). Each group was comprised of 20 patients and 7 patients were lost during follow-up (Fig. 1). Group A patients were prescribed 4 mg triamcinolone (Ledercort; SK Chemical, Seongnam, Korea) twice daily for 2 weeks. Group B patients were prescribed either 7.5 mg pregabalin (Lyrica; Pfizer, Cambridge, MA, USA) twice daily for 2 weeks or 100 mg gabapentin (Neurontin; Pfizer) three times daily for 2 weeks. After the initial prescription, the drugs were tapered or doubled depending on side effects or the therapeutic effect, and the patients were monitored for 12 weeks. Study Procedures and Outcome Measures The Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) questionnaire was completed by all patients at the initial visit to evaluate neurological lumbar radiating pain.11) In addition, the Oswestry Disability Index (ODI) and the Revised Roland Morris disability questionnaire (RMDQ) were completed to evaluate patient functional status. The Short Form 36 (SF-36) questionnaire was used to evaluate the patient's quality of life. Lumbar radiating pain was measured with VAS and objective baseline patient satisfaction was measured with numeric rating scale (NRS) at initial visit. The NRS is an 11-point scale ranging from 0 to 10 with the lower score meaning greater satisfaction. Pain, satisfaction, and objective improvement of patients or physicians were measured at 2, 6, and 12 weeks during the follow-up period. Functional status was evaluated at 6 weeks and 12 weeks, and quality of life was assessed at 12 weeks. The questionnaires were analyzed by a physician who was not involved in this study. The Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) questionnaire was completed by all patients at the initial visit to evaluate neurological lumbar radiating pain.11) In addition, the Oswestry Disability Index (ODI) and the Revised Roland Morris disability questionnaire (RMDQ) were completed to evaluate patient functional status. The Short Form 36 (SF-36) questionnaire was used to evaluate the patient's quality of life. Lumbar radiating pain was measured with VAS and objective baseline patient satisfaction was measured with numeric rating scale (NRS) at initial visit. The NRS is an 11-point scale ranging from 0 to 10 with the lower score meaning greater satisfaction. Pain, satisfaction, and objective improvement of patients or physicians were measured at 2, 6, and 12 weeks during the follow-up period. Functional status was evaluated at 6 weeks and 12 weeks, and quality of life was assessed at 12 weeks. The questionnaires were analyzed by a physician who was not involved in this study. Statistical Analysis The IBM SPSS ver. 19.0 (IBM Co., Armonk, NY, USA) statistics program for Windows was used for all analyses. Fisher exact test, Student t-test, Wilcoxon signed-rank test, and repeated-measures two factor analysis of variance were used to detected differences between the groups. A p-value < 0.05 was considered statistically significant. The IBM SPSS ver. 19.0 (IBM Co., Armonk, NY, USA) statistics program for Windows was used for all analyses. Fisher exact test, Student t-test, Wilcoxon signed-rank test, and repeated-measures two factor analysis of variance were used to detected differences between the groups. A p-value < 0.05 was considered statistically significant.
RESULTS
Characteristics of the Study Sample Group A was comprised of 6 males and 14 females, and group B of 7 males and 13 females (Table 2). No difference was detected in the sex ratio between the two groups (p = 0.70). Their mean age when medications were prescribed was 62.5 ± 12.7 years (range, 18 to 78 years): 62.6 ± 13.2 years (range, 18 to 76 years) in group A and 62.4 ± 12.6 years (range, 20 to 78 years) in group B. No difference was observed in age between the groups (p = 0.13). Group A was comprised of 6 males and 14 females, and group B of 7 males and 13 females (Table 2). No difference was detected in the sex ratio between the two groups (p = 0.70). Their mean age when medications were prescribed was 62.5 ± 12.7 years (range, 18 to 78 years): 62.6 ± 13.2 years (range, 18 to 76 years) in group A and 62.4 ± 12.6 years (range, 20 to 78 years) in group B. No difference was observed in age between the groups (p = 0.13). Comparison of Radiating Pain Scores Radiating pain scores in group A were 4.9 ± 2.9 initially, 3.8 ± 2.8 at 2 weeks after starting the medication, 2.0 ± 2.3 at 6 weeks, and 2.0 ± 2.6 at 12 weeks after starting the medication (Table 3). The scores in group B were 4.8 ± 2.0 initially, 4.3 ± 2.4 after 2 weeks, 3.0 ± 2.2 after 6 weeks, and 3.2 ± 2.2 after 12 weeks of taking the medication. No difference was observed in the scores between the groups at the initial assessment (p = 0.16); however, group A showed greater improvement after 2, 6, and 12 weeks than group B at each time point (p < 0.001, p = 0.001, and p < 0.001, respectively). Radiating pain scores in group A were 4.9 ± 2.9 initially, 3.8 ± 2.8 at 2 weeks after starting the medication, 2.0 ± 2.3 at 6 weeks, and 2.0 ± 2.6 at 12 weeks after starting the medication (Table 3). The scores in group B were 4.8 ± 2.0 initially, 4.3 ± 2.4 after 2 weeks, 3.0 ± 2.2 after 6 weeks, and 3.2 ± 2.2 after 12 weeks of taking the medication. No difference was observed in the scores between the groups at the initial assessment (p = 0.16); however, group A showed greater improvement after 2, 6, and 12 weeks than group B at each time point (p < 0.001, p = 0.001, and p < 0.001, respectively). Comparison of Treatment Satisfaction and Improvement The NRS scores for baseline satisfaction of patients in group A were 3.4 ± 0.7 at the beginning of the treatment and 2.6 ± 1.3 after 12 weeks of taking the medication (Table 4). The NRS scores for baseline satisfaction of patients in group B were 3.3 ± 0.7 at the beginning and 2.8 ± 1.1 at 12 weeks after starting the medication. No differences in satisfaction were observed between two groups at the beginning or 12 weeks after taking the medication (p = 0.062 and p = 0.061, respectively). The scores for objective improvement in group A were 2.3 ± 0.9, 2.4 ± 1.0, and 2.3 ± 1.2 at 2, 6, and 12 weeks after taking the medication, respectively. The scores for objective improvement in group B were 2.0 ± 0.7, 2.1 ± 0.9, and 2.0 ± 0.8 at 2, 6, and 12 weeks after taking the medication, respectively. No differences in the magnitude of improvement experienced by the patients were observed between the groups (p = 0.657). The physician's scores of objective improvement of group A were 2.3 ± 1.0, 2.5 ± 1.0, and 2.4 ± 1.1 at 2, 6, and 12 weeks, respectively, after taking the medication. The physician's scores of objective improvement of group B were 2.0 ± 0.7, 2.2 ± 1.0, and 2.0 ± 0.8 at 2, 6, and 12 weeks, respectively, after taking the medication. No differences were observed between the two groups in terms of the objective improvement assessed by the physician (p = 0.748). The NRS scores for baseline satisfaction of patients in group A were 3.4 ± 0.7 at the beginning of the treatment and 2.6 ± 1.3 after 12 weeks of taking the medication (Table 4). The NRS scores for baseline satisfaction of patients in group B were 3.3 ± 0.7 at the beginning and 2.8 ± 1.1 at 12 weeks after starting the medication. No differences in satisfaction were observed between two groups at the beginning or 12 weeks after taking the medication (p = 0.062 and p = 0.061, respectively). The scores for objective improvement in group A were 2.3 ± 0.9, 2.4 ± 1.0, and 2.3 ± 1.2 at 2, 6, and 12 weeks after taking the medication, respectively. The scores for objective improvement in group B were 2.0 ± 0.7, 2.1 ± 0.9, and 2.0 ± 0.8 at 2, 6, and 12 weeks after taking the medication, respectively. No differences in the magnitude of improvement experienced by the patients were observed between the groups (p = 0.657). The physician's scores of objective improvement of group A were 2.3 ± 1.0, 2.5 ± 1.0, and 2.4 ± 1.1 at 2, 6, and 12 weeks, respectively, after taking the medication. The physician's scores of objective improvement of group B were 2.0 ± 0.7, 2.2 ± 1.0, and 2.0 ± 0.8 at 2, 6, and 12 weeks, respectively, after taking the medication. No differences were observed between the two groups in terms of the objective improvement assessed by the physician (p = 0.748). Comparison of Disability and Quality of Life Patients in group A were less disabled than those in group B based on the RMDQ scores (p = 0.014) whereas no difference was found in the ODI scores between the groups (p = 0.246) (Table 5). Group B had higher physical health scores than group A at 12 weeks after taking the medication (p = 0.017), whereas no difference in mental health scores was observed between the groups (p = 0.942). Patients in group A were less disabled than those in group B based on the RMDQ scores (p = 0.014) whereas no difference was found in the ODI scores between the groups (p = 0.246) (Table 5). Group B had higher physical health scores than group A at 12 weeks after taking the medication (p = 0.017), whereas no difference in mental health scores was observed between the groups (p = 0.942).
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[ "Patient Selection", "Study Procedures and Outcome Measures", "Statistical Analysis", "Characteristics of the Study Sample", "Comparison of Radiating Pain Scores", "Comparison of Treatment Satisfaction and Improvement", "Comparison of Disability and Quality of Life" ]
[ "This study was conducted with full approval of the Daegu Catholic University Medical Center Institutional Review Board (CR-14-049-L). Patient selection process and the overall trial design are shown in Fig. 1.\nA total 54 patients were enrolled among 703 patients who complained of lumbar radiating pain or pain needing medication (visual analog scale [VAS] > 3) and who had definite lumbar spinal nerve root compression findings on magnetic resonance imaging (MRI). The period of enrollment was from March 27, 2014 to February 28, 2015. The inclusion and exclusion criteria are presented in Table 1. The patients were sequentially enrolled into the study and prescribed to receive either an oral corticosteroid or control drugs according to the standard protocol: the odd-numbered patients received an oral corticosteroid (group A) and evennumbered patients received the control drugs (group B). Each group was comprised of 20 patients and 7 patients were lost during follow-up (Fig. 1).\nGroup A patients were prescribed 4 mg triamcinolone (Ledercort; SK Chemical, Seongnam, Korea) twice daily for 2 weeks. Group B patients were prescribed either 7.5 mg pregabalin (Lyrica; Pfizer, Cambridge, MA, USA) twice daily for 2 weeks or 100 mg gabapentin (Neurontin; Pfizer) three times daily for 2 weeks. After the initial prescription, the drugs were tapered or doubled depending on side effects or the therapeutic effect, and the patients were monitored for 12 weeks.", "The Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) questionnaire was completed by all patients at the initial visit to evaluate neurological lumbar radiating pain.11) In addition, the Oswestry Disability Index (ODI) and the Revised Roland Morris disability questionnaire (RMDQ) were completed to evaluate patient functional status. The Short Form 36 (SF-36) questionnaire was used to evaluate the patient's quality of life. Lumbar radiating pain was measured with VAS and objective baseline patient satisfaction was measured with numeric rating scale (NRS) at initial visit. The NRS is an 11-point scale ranging from 0 to 10 with the lower score meaning greater satisfaction. Pain, satisfaction, and objective improvement of patients or physicians were measured at 2, 6, and 12 weeks during the follow-up period. Functional status was evaluated at 6 weeks and 12 weeks, and quality of life was assessed at 12 weeks. The questionnaires were analyzed by a physician who was not involved in this study.", "The IBM SPSS ver. 19.0 (IBM Co., Armonk, NY, USA) statistics program for Windows was used for all analyses. Fisher exact test, Student t-test, Wilcoxon signed-rank test, and repeated-measures two factor analysis of variance were used to detected differences between the groups. A p-value < 0.05 was considered statistically significant.", "Group A was comprised of 6 males and 14 females, and group B of 7 males and 13 females (Table 2). No difference was detected in the sex ratio between the two groups (p = 0.70). Their mean age when medications were prescribed was 62.5 ± 12.7 years (range, 18 to 78 years): 62.6 ± 13.2 years (range, 18 to 76 years) in group A and 62.4 ± 12.6 years (range, 20 to 78 years) in group B. No difference was observed in age between the groups (p = 0.13).", "Radiating pain scores in group A were 4.9 ± 2.9 initially, 3.8 ± 2.8 at 2 weeks after starting the medication, 2.0 ± 2.3 at 6 weeks, and 2.0 ± 2.6 at 12 weeks after starting the medication (Table 3). The scores in group B were 4.8 ± 2.0 initially, 4.3 ± 2.4 after 2 weeks, 3.0 ± 2.2 after 6 weeks, and 3.2 ± 2.2 after 12 weeks of taking the medication. No difference was observed in the scores between the groups at the initial assessment (p = 0.16); however, group A showed greater improvement after 2, 6, and 12 weeks than group B at each time point (p < 0.001, p = 0.001, and p < 0.001, respectively).", "The NRS scores for baseline satisfaction of patients in group A were 3.4 ± 0.7 at the beginning of the treatment and 2.6 ± 1.3 after 12 weeks of taking the medication (Table 4). The NRS scores for baseline satisfaction of patients in group B were 3.3 ± 0.7 at the beginning and 2.8 ± 1.1 at 12 weeks after starting the medication. No differences in satisfaction were observed between two groups at the beginning or 12 weeks after taking the medication (p = 0.062 and p = 0.061, respectively). The scores for objective improvement in group A were 2.3 ± 0.9, 2.4 ± 1.0, and 2.3 ± 1.2 at 2, 6, and 12 weeks after taking the medication, respectively. The scores for objective improvement in group B were 2.0 ± 0.7, 2.1 ± 0.9, and 2.0 ± 0.8 at 2, 6, and 12 weeks after taking the medication, respectively. No differences in the magnitude of improvement experienced by the patients were observed between the groups (p = 0.657). The physician's scores of objective improvement of group A were 2.3 ± 1.0, 2.5 ± 1.0, and 2.4 ± 1.1 at 2, 6, and 12 weeks, respectively, after taking the medication. The physician's scores of objective improvement of group B were 2.0 ± 0.7, 2.2 ± 1.0, and 2.0 ± 0.8 at 2, 6, and 12 weeks, respectively, after taking the medication. No differences were observed between the two groups in terms of the objective improvement assessed by the physician (p = 0.748).", "Patients in group A were less disabled than those in group B based on the RMDQ scores (p = 0.014) whereas no difference was found in the ODI scores between the groups (p = 0.246) (Table 5).\nGroup B had higher physical health scores than group A at 12 weeks after taking the medication (p = 0.017), whereas no difference in mental health scores was observed between the groups (p = 0.942)." ]
[ null, null, null, null, null, null, null ]
[ "METHODS", "Patient Selection", "Study Procedures and Outcome Measures", "Statistical Analysis", "RESULTS", "Characteristics of the Study Sample", "Comparison of Radiating Pain Scores", "Comparison of Treatment Satisfaction and Improvement", "Comparison of Disability and Quality of Life", "DISCUSSION" ]
[ " Patient Selection This study was conducted with full approval of the Daegu Catholic University Medical Center Institutional Review Board (CR-14-049-L). Patient selection process and the overall trial design are shown in Fig. 1.\nA total 54 patients were enrolled among 703 patients who complained of lumbar radiating pain or pain needing medication (visual analog scale [VAS] > 3) and who had definite lumbar spinal nerve root compression findings on magnetic resonance imaging (MRI). The period of enrollment was from March 27, 2014 to February 28, 2015. The inclusion and exclusion criteria are presented in Table 1. The patients were sequentially enrolled into the study and prescribed to receive either an oral corticosteroid or control drugs according to the standard protocol: the odd-numbered patients received an oral corticosteroid (group A) and evennumbered patients received the control drugs (group B). Each group was comprised of 20 patients and 7 patients were lost during follow-up (Fig. 1).\nGroup A patients were prescribed 4 mg triamcinolone (Ledercort; SK Chemical, Seongnam, Korea) twice daily for 2 weeks. Group B patients were prescribed either 7.5 mg pregabalin (Lyrica; Pfizer, Cambridge, MA, USA) twice daily for 2 weeks or 100 mg gabapentin (Neurontin; Pfizer) three times daily for 2 weeks. After the initial prescription, the drugs were tapered or doubled depending on side effects or the therapeutic effect, and the patients were monitored for 12 weeks.\nThis study was conducted with full approval of the Daegu Catholic University Medical Center Institutional Review Board (CR-14-049-L). Patient selection process and the overall trial design are shown in Fig. 1.\nA total 54 patients were enrolled among 703 patients who complained of lumbar radiating pain or pain needing medication (visual analog scale [VAS] > 3) and who had definite lumbar spinal nerve root compression findings on magnetic resonance imaging (MRI). The period of enrollment was from March 27, 2014 to February 28, 2015. The inclusion and exclusion criteria are presented in Table 1. The patients were sequentially enrolled into the study and prescribed to receive either an oral corticosteroid or control drugs according to the standard protocol: the odd-numbered patients received an oral corticosteroid (group A) and evennumbered patients received the control drugs (group B). Each group was comprised of 20 patients and 7 patients were lost during follow-up (Fig. 1).\nGroup A patients were prescribed 4 mg triamcinolone (Ledercort; SK Chemical, Seongnam, Korea) twice daily for 2 weeks. Group B patients were prescribed either 7.5 mg pregabalin (Lyrica; Pfizer, Cambridge, MA, USA) twice daily for 2 weeks or 100 mg gabapentin (Neurontin; Pfizer) three times daily for 2 weeks. After the initial prescription, the drugs were tapered or doubled depending on side effects or the therapeutic effect, and the patients were monitored for 12 weeks.\n Study Procedures and Outcome Measures The Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) questionnaire was completed by all patients at the initial visit to evaluate neurological lumbar radiating pain.11) In addition, the Oswestry Disability Index (ODI) and the Revised Roland Morris disability questionnaire (RMDQ) were completed to evaluate patient functional status. The Short Form 36 (SF-36) questionnaire was used to evaluate the patient's quality of life. Lumbar radiating pain was measured with VAS and objective baseline patient satisfaction was measured with numeric rating scale (NRS) at initial visit. The NRS is an 11-point scale ranging from 0 to 10 with the lower score meaning greater satisfaction. Pain, satisfaction, and objective improvement of patients or physicians were measured at 2, 6, and 12 weeks during the follow-up period. Functional status was evaluated at 6 weeks and 12 weeks, and quality of life was assessed at 12 weeks. The questionnaires were analyzed by a physician who was not involved in this study.\nThe Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) questionnaire was completed by all patients at the initial visit to evaluate neurological lumbar radiating pain.11) In addition, the Oswestry Disability Index (ODI) and the Revised Roland Morris disability questionnaire (RMDQ) were completed to evaluate patient functional status. The Short Form 36 (SF-36) questionnaire was used to evaluate the patient's quality of life. Lumbar radiating pain was measured with VAS and objective baseline patient satisfaction was measured with numeric rating scale (NRS) at initial visit. The NRS is an 11-point scale ranging from 0 to 10 with the lower score meaning greater satisfaction. Pain, satisfaction, and objective improvement of patients or physicians were measured at 2, 6, and 12 weeks during the follow-up period. Functional status was evaluated at 6 weeks and 12 weeks, and quality of life was assessed at 12 weeks. The questionnaires were analyzed by a physician who was not involved in this study.\n Statistical Analysis The IBM SPSS ver. 19.0 (IBM Co., Armonk, NY, USA) statistics program for Windows was used for all analyses. Fisher exact test, Student t-test, Wilcoxon signed-rank test, and repeated-measures two factor analysis of variance were used to detected differences between the groups. A p-value < 0.05 was considered statistically significant.\nThe IBM SPSS ver. 19.0 (IBM Co., Armonk, NY, USA) statistics program for Windows was used for all analyses. Fisher exact test, Student t-test, Wilcoxon signed-rank test, and repeated-measures two factor analysis of variance were used to detected differences between the groups. A p-value < 0.05 was considered statistically significant.", "This study was conducted with full approval of the Daegu Catholic University Medical Center Institutional Review Board (CR-14-049-L). Patient selection process and the overall trial design are shown in Fig. 1.\nA total 54 patients were enrolled among 703 patients who complained of lumbar radiating pain or pain needing medication (visual analog scale [VAS] > 3) and who had definite lumbar spinal nerve root compression findings on magnetic resonance imaging (MRI). The period of enrollment was from March 27, 2014 to February 28, 2015. The inclusion and exclusion criteria are presented in Table 1. The patients were sequentially enrolled into the study and prescribed to receive either an oral corticosteroid or control drugs according to the standard protocol: the odd-numbered patients received an oral corticosteroid (group A) and evennumbered patients received the control drugs (group B). Each group was comprised of 20 patients and 7 patients were lost during follow-up (Fig. 1).\nGroup A patients were prescribed 4 mg triamcinolone (Ledercort; SK Chemical, Seongnam, Korea) twice daily for 2 weeks. Group B patients were prescribed either 7.5 mg pregabalin (Lyrica; Pfizer, Cambridge, MA, USA) twice daily for 2 weeks or 100 mg gabapentin (Neurontin; Pfizer) three times daily for 2 weeks. After the initial prescription, the drugs were tapered or doubled depending on side effects or the therapeutic effect, and the patients were monitored for 12 weeks.", "The Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) questionnaire was completed by all patients at the initial visit to evaluate neurological lumbar radiating pain.11) In addition, the Oswestry Disability Index (ODI) and the Revised Roland Morris disability questionnaire (RMDQ) were completed to evaluate patient functional status. The Short Form 36 (SF-36) questionnaire was used to evaluate the patient's quality of life. Lumbar radiating pain was measured with VAS and objective baseline patient satisfaction was measured with numeric rating scale (NRS) at initial visit. The NRS is an 11-point scale ranging from 0 to 10 with the lower score meaning greater satisfaction. Pain, satisfaction, and objective improvement of patients or physicians were measured at 2, 6, and 12 weeks during the follow-up period. Functional status was evaluated at 6 weeks and 12 weeks, and quality of life was assessed at 12 weeks. The questionnaires were analyzed by a physician who was not involved in this study.", "The IBM SPSS ver. 19.0 (IBM Co., Armonk, NY, USA) statistics program for Windows was used for all analyses. Fisher exact test, Student t-test, Wilcoxon signed-rank test, and repeated-measures two factor analysis of variance were used to detected differences between the groups. A p-value < 0.05 was considered statistically significant.", " Characteristics of the Study Sample Group A was comprised of 6 males and 14 females, and group B of 7 males and 13 females (Table 2). No difference was detected in the sex ratio between the two groups (p = 0.70). Their mean age when medications were prescribed was 62.5 ± 12.7 years (range, 18 to 78 years): 62.6 ± 13.2 years (range, 18 to 76 years) in group A and 62.4 ± 12.6 years (range, 20 to 78 years) in group B. No difference was observed in age between the groups (p = 0.13).\nGroup A was comprised of 6 males and 14 females, and group B of 7 males and 13 females (Table 2). No difference was detected in the sex ratio between the two groups (p = 0.70). Their mean age when medications were prescribed was 62.5 ± 12.7 years (range, 18 to 78 years): 62.6 ± 13.2 years (range, 18 to 76 years) in group A and 62.4 ± 12.6 years (range, 20 to 78 years) in group B. No difference was observed in age between the groups (p = 0.13).\n Comparison of Radiating Pain Scores Radiating pain scores in group A were 4.9 ± 2.9 initially, 3.8 ± 2.8 at 2 weeks after starting the medication, 2.0 ± 2.3 at 6 weeks, and 2.0 ± 2.6 at 12 weeks after starting the medication (Table 3). The scores in group B were 4.8 ± 2.0 initially, 4.3 ± 2.4 after 2 weeks, 3.0 ± 2.2 after 6 weeks, and 3.2 ± 2.2 after 12 weeks of taking the medication. No difference was observed in the scores between the groups at the initial assessment (p = 0.16); however, group A showed greater improvement after 2, 6, and 12 weeks than group B at each time point (p < 0.001, p = 0.001, and p < 0.001, respectively).\nRadiating pain scores in group A were 4.9 ± 2.9 initially, 3.8 ± 2.8 at 2 weeks after starting the medication, 2.0 ± 2.3 at 6 weeks, and 2.0 ± 2.6 at 12 weeks after starting the medication (Table 3). The scores in group B were 4.8 ± 2.0 initially, 4.3 ± 2.4 after 2 weeks, 3.0 ± 2.2 after 6 weeks, and 3.2 ± 2.2 after 12 weeks of taking the medication. No difference was observed in the scores between the groups at the initial assessment (p = 0.16); however, group A showed greater improvement after 2, 6, and 12 weeks than group B at each time point (p < 0.001, p = 0.001, and p < 0.001, respectively).\n Comparison of Treatment Satisfaction and Improvement The NRS scores for baseline satisfaction of patients in group A were 3.4 ± 0.7 at the beginning of the treatment and 2.6 ± 1.3 after 12 weeks of taking the medication (Table 4). The NRS scores for baseline satisfaction of patients in group B were 3.3 ± 0.7 at the beginning and 2.8 ± 1.1 at 12 weeks after starting the medication. No differences in satisfaction were observed between two groups at the beginning or 12 weeks after taking the medication (p = 0.062 and p = 0.061, respectively). The scores for objective improvement in group A were 2.3 ± 0.9, 2.4 ± 1.0, and 2.3 ± 1.2 at 2, 6, and 12 weeks after taking the medication, respectively. The scores for objective improvement in group B were 2.0 ± 0.7, 2.1 ± 0.9, and 2.0 ± 0.8 at 2, 6, and 12 weeks after taking the medication, respectively. No differences in the magnitude of improvement experienced by the patients were observed between the groups (p = 0.657). The physician's scores of objective improvement of group A were 2.3 ± 1.0, 2.5 ± 1.0, and 2.4 ± 1.1 at 2, 6, and 12 weeks, respectively, after taking the medication. The physician's scores of objective improvement of group B were 2.0 ± 0.7, 2.2 ± 1.0, and 2.0 ± 0.8 at 2, 6, and 12 weeks, respectively, after taking the medication. No differences were observed between the two groups in terms of the objective improvement assessed by the physician (p = 0.748).\nThe NRS scores for baseline satisfaction of patients in group A were 3.4 ± 0.7 at the beginning of the treatment and 2.6 ± 1.3 after 12 weeks of taking the medication (Table 4). The NRS scores for baseline satisfaction of patients in group B were 3.3 ± 0.7 at the beginning and 2.8 ± 1.1 at 12 weeks after starting the medication. No differences in satisfaction were observed between two groups at the beginning or 12 weeks after taking the medication (p = 0.062 and p = 0.061, respectively). The scores for objective improvement in group A were 2.3 ± 0.9, 2.4 ± 1.0, and 2.3 ± 1.2 at 2, 6, and 12 weeks after taking the medication, respectively. The scores for objective improvement in group B were 2.0 ± 0.7, 2.1 ± 0.9, and 2.0 ± 0.8 at 2, 6, and 12 weeks after taking the medication, respectively. No differences in the magnitude of improvement experienced by the patients were observed between the groups (p = 0.657). The physician's scores of objective improvement of group A were 2.3 ± 1.0, 2.5 ± 1.0, and 2.4 ± 1.1 at 2, 6, and 12 weeks, respectively, after taking the medication. The physician's scores of objective improvement of group B were 2.0 ± 0.7, 2.2 ± 1.0, and 2.0 ± 0.8 at 2, 6, and 12 weeks, respectively, after taking the medication. No differences were observed between the two groups in terms of the objective improvement assessed by the physician (p = 0.748).\n Comparison of Disability and Quality of Life Patients in group A were less disabled than those in group B based on the RMDQ scores (p = 0.014) whereas no difference was found in the ODI scores between the groups (p = 0.246) (Table 5).\nGroup B had higher physical health scores than group A at 12 weeks after taking the medication (p = 0.017), whereas no difference in mental health scores was observed between the groups (p = 0.942).\nPatients in group A were less disabled than those in group B based on the RMDQ scores (p = 0.014) whereas no difference was found in the ODI scores between the groups (p = 0.246) (Table 5).\nGroup B had higher physical health scores than group A at 12 weeks after taking the medication (p = 0.017), whereas no difference in mental health scores was observed between the groups (p = 0.942).", "Group A was comprised of 6 males and 14 females, and group B of 7 males and 13 females (Table 2). No difference was detected in the sex ratio between the two groups (p = 0.70). Their mean age when medications were prescribed was 62.5 ± 12.7 years (range, 18 to 78 years): 62.6 ± 13.2 years (range, 18 to 76 years) in group A and 62.4 ± 12.6 years (range, 20 to 78 years) in group B. No difference was observed in age between the groups (p = 0.13).", "Radiating pain scores in group A were 4.9 ± 2.9 initially, 3.8 ± 2.8 at 2 weeks after starting the medication, 2.0 ± 2.3 at 6 weeks, and 2.0 ± 2.6 at 12 weeks after starting the medication (Table 3). The scores in group B were 4.8 ± 2.0 initially, 4.3 ± 2.4 after 2 weeks, 3.0 ± 2.2 after 6 weeks, and 3.2 ± 2.2 after 12 weeks of taking the medication. No difference was observed in the scores between the groups at the initial assessment (p = 0.16); however, group A showed greater improvement after 2, 6, and 12 weeks than group B at each time point (p < 0.001, p = 0.001, and p < 0.001, respectively).", "The NRS scores for baseline satisfaction of patients in group A were 3.4 ± 0.7 at the beginning of the treatment and 2.6 ± 1.3 after 12 weeks of taking the medication (Table 4). The NRS scores for baseline satisfaction of patients in group B were 3.3 ± 0.7 at the beginning and 2.8 ± 1.1 at 12 weeks after starting the medication. No differences in satisfaction were observed between two groups at the beginning or 12 weeks after taking the medication (p = 0.062 and p = 0.061, respectively). The scores for objective improvement in group A were 2.3 ± 0.9, 2.4 ± 1.0, and 2.3 ± 1.2 at 2, 6, and 12 weeks after taking the medication, respectively. The scores for objective improvement in group B were 2.0 ± 0.7, 2.1 ± 0.9, and 2.0 ± 0.8 at 2, 6, and 12 weeks after taking the medication, respectively. No differences in the magnitude of improvement experienced by the patients were observed between the groups (p = 0.657). The physician's scores of objective improvement of group A were 2.3 ± 1.0, 2.5 ± 1.0, and 2.4 ± 1.1 at 2, 6, and 12 weeks, respectively, after taking the medication. The physician's scores of objective improvement of group B were 2.0 ± 0.7, 2.2 ± 1.0, and 2.0 ± 0.8 at 2, 6, and 12 weeks, respectively, after taking the medication. No differences were observed between the two groups in terms of the objective improvement assessed by the physician (p = 0.748).", "Patients in group A were less disabled than those in group B based on the RMDQ scores (p = 0.014) whereas no difference was found in the ODI scores between the groups (p = 0.246) (Table 5).\nGroup B had higher physical health scores than group A at 12 weeks after taking the medication (p = 0.017), whereas no difference in mental health scores was observed between the groups (p = 0.942).", "Sciatica refers to radiating pain down the leg with dermatomal distribution and perhaps additional neurologic deficits.12) It can be caused by mechanical and/or inflammatory reaction that affects lumbosacral nerve roots.13) Sciatica is one of the most common diseases in the outpatient office and observed in approximately 1% of patients with acute low back pain.6141516)\nSeveral conventional treatments have been suggested for lumbar radiating pain, such as pain relief medications (acetaminophen, nonsteroidal anti-inflammatory drugs, muscle relaxants, anti-epileptic drugs [gabapentin and pregabalin], membrane stabilizing agents, and narcotics), spinal manipulation,1) physical therapy, massage, activity as tolerated, and time itself.7891014151718) If patients have intractable pain or progressive neurological deficit, epidural injection or surgical treatment such as decompressive laminotomy or discectomy can be needed.61618) Despite being a mostly self-limiting condition, sciatica is a great loss to society in terms of productivity, treatment costs, and disability even in the long term as well as at the initial episode.151819)\nMost studies on the outcomes of lumbar radiating pain have evaluated the results of different surgical and medical treatment methods in patients admitted to the hospital, particularly to the surgical department.12)\nCorticosteroids have been reported to decrease swelling in the affected nerve root and reduce sciatic symptoms.20) Haimovic and Beresford21) suggested that corticosteroids may reduce stretching pain evoked by acutely inflamed spinal nerve root in spite of the lack of clinical evidence.17)\nOnly one blinded, randomized controlled study addressed this issue according to the PuBMed and MEDLINE database.21) In that study, all patients were hospitalized for bed rest for 1 week unlike our study.\nPatients in the study of Haimovic and Beresford21) received a 7-day tapering dose of oral dexamethasone. In contrast, patients in our study received a 12-week tapering dose of oral triamcinolone. Haimovic and Beresford21) reported that the efficacy of dexamethasone was no better than placebo in treating sciatic pain unlike our study. There is no consensus regarding the impact of oral glucocorticoid therapy on radiating pain, whereas epidural steroid injection has been associated with short-term improvement.161718222324)\nThe results of our study conducted in contemporary outpatient setting are different from those of Haimovic and Beresford21) involving hospitalized patients published 20 years ago. Oral steroids did not show excellent efficacy in the study. However, patients in our study who received a corticosteroid such as triamcinolone experienced statistically significant, albeit subtle, improvements. Our results are consistent with those of some previous studies222324) where epidural steroid injection showed greatest benefits at 2–6 weeks after injection. Such effects can be explained by 2 factors: (1) physiological changes that reduce swelling of the affected nerve root through release of pro-inflammatory substances and (2) the cell membrane stabilizing effect of the steroid.20)\nPhysicians who choose corticosteroids as an initial treatment for sciatica should ensure strict selection of patients with clear-cut signs and symptoms considering that not all patients with back/leg pain have lumbar radiculopathy.19) The physician should contemplate the risks and benefits of corticosteroids on patients, and be aware that potential advantages of this treatment will be effective in the short term based on the current clinical evidence.19)\nOne of the limitations of our study is the relatively small sample size. In addition, the short follow-up period could have resulted in errors in the incidence of steroid side effects.\nIn conclusion, oral corticosteroids for the treatment of lumbar radiating pain were more effective in pain relief than gabapentin or pregabalin. The satisfaction of patients and physicians on the drugs and objective improvement status was not inferior to gabapentin or pregabalin. The functional status of oral corticosteroid patients was better than the gabapentin or pregabalin patients based on the RMDQ scores and not inferior to the gabapentin or pregabalin patients according to the ODI scores although the physical health score of pregabalin or gabapentin was superior to that of the oral corticosteroid." ]
[ "methods", null, null, null, "results", null, null, null, null, "discussion" ]
[ "Radiculopathies", "Corticosteroids", "Gabapentin", "Pregabalin" ]
METHODS: Patient Selection This study was conducted with full approval of the Daegu Catholic University Medical Center Institutional Review Board (CR-14-049-L). Patient selection process and the overall trial design are shown in Fig. 1. A total 54 patients were enrolled among 703 patients who complained of lumbar radiating pain or pain needing medication (visual analog scale [VAS] > 3) and who had definite lumbar spinal nerve root compression findings on magnetic resonance imaging (MRI). The period of enrollment was from March 27, 2014 to February 28, 2015. The inclusion and exclusion criteria are presented in Table 1. The patients were sequentially enrolled into the study and prescribed to receive either an oral corticosteroid or control drugs according to the standard protocol: the odd-numbered patients received an oral corticosteroid (group A) and evennumbered patients received the control drugs (group B). Each group was comprised of 20 patients and 7 patients were lost during follow-up (Fig. 1). Group A patients were prescribed 4 mg triamcinolone (Ledercort; SK Chemical, Seongnam, Korea) twice daily for 2 weeks. Group B patients were prescribed either 7.5 mg pregabalin (Lyrica; Pfizer, Cambridge, MA, USA) twice daily for 2 weeks or 100 mg gabapentin (Neurontin; Pfizer) three times daily for 2 weeks. After the initial prescription, the drugs were tapered or doubled depending on side effects or the therapeutic effect, and the patients were monitored for 12 weeks. This study was conducted with full approval of the Daegu Catholic University Medical Center Institutional Review Board (CR-14-049-L). Patient selection process and the overall trial design are shown in Fig. 1. A total 54 patients were enrolled among 703 patients who complained of lumbar radiating pain or pain needing medication (visual analog scale [VAS] > 3) and who had definite lumbar spinal nerve root compression findings on magnetic resonance imaging (MRI). The period of enrollment was from March 27, 2014 to February 28, 2015. The inclusion and exclusion criteria are presented in Table 1. The patients were sequentially enrolled into the study and prescribed to receive either an oral corticosteroid or control drugs according to the standard protocol: the odd-numbered patients received an oral corticosteroid (group A) and evennumbered patients received the control drugs (group B). Each group was comprised of 20 patients and 7 patients were lost during follow-up (Fig. 1). Group A patients were prescribed 4 mg triamcinolone (Ledercort; SK Chemical, Seongnam, Korea) twice daily for 2 weeks. Group B patients were prescribed either 7.5 mg pregabalin (Lyrica; Pfizer, Cambridge, MA, USA) twice daily for 2 weeks or 100 mg gabapentin (Neurontin; Pfizer) three times daily for 2 weeks. After the initial prescription, the drugs were tapered or doubled depending on side effects or the therapeutic effect, and the patients were monitored for 12 weeks. Study Procedures and Outcome Measures The Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) questionnaire was completed by all patients at the initial visit to evaluate neurological lumbar radiating pain.11) In addition, the Oswestry Disability Index (ODI) and the Revised Roland Morris disability questionnaire (RMDQ) were completed to evaluate patient functional status. The Short Form 36 (SF-36) questionnaire was used to evaluate the patient's quality of life. Lumbar radiating pain was measured with VAS and objective baseline patient satisfaction was measured with numeric rating scale (NRS) at initial visit. The NRS is an 11-point scale ranging from 0 to 10 with the lower score meaning greater satisfaction. Pain, satisfaction, and objective improvement of patients or physicians were measured at 2, 6, and 12 weeks during the follow-up period. Functional status was evaluated at 6 weeks and 12 weeks, and quality of life was assessed at 12 weeks. The questionnaires were analyzed by a physician who was not involved in this study. The Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) questionnaire was completed by all patients at the initial visit to evaluate neurological lumbar radiating pain.11) In addition, the Oswestry Disability Index (ODI) and the Revised Roland Morris disability questionnaire (RMDQ) were completed to evaluate patient functional status. The Short Form 36 (SF-36) questionnaire was used to evaluate the patient's quality of life. Lumbar radiating pain was measured with VAS and objective baseline patient satisfaction was measured with numeric rating scale (NRS) at initial visit. The NRS is an 11-point scale ranging from 0 to 10 with the lower score meaning greater satisfaction. Pain, satisfaction, and objective improvement of patients or physicians were measured at 2, 6, and 12 weeks during the follow-up period. Functional status was evaluated at 6 weeks and 12 weeks, and quality of life was assessed at 12 weeks. The questionnaires were analyzed by a physician who was not involved in this study. Statistical Analysis The IBM SPSS ver. 19.0 (IBM Co., Armonk, NY, USA) statistics program for Windows was used for all analyses. Fisher exact test, Student t-test, Wilcoxon signed-rank test, and repeated-measures two factor analysis of variance were used to detected differences between the groups. A p-value < 0.05 was considered statistically significant. The IBM SPSS ver. 19.0 (IBM Co., Armonk, NY, USA) statistics program for Windows was used for all analyses. Fisher exact test, Student t-test, Wilcoxon signed-rank test, and repeated-measures two factor analysis of variance were used to detected differences between the groups. A p-value < 0.05 was considered statistically significant. Patient Selection: This study was conducted with full approval of the Daegu Catholic University Medical Center Institutional Review Board (CR-14-049-L). Patient selection process and the overall trial design are shown in Fig. 1. A total 54 patients were enrolled among 703 patients who complained of lumbar radiating pain or pain needing medication (visual analog scale [VAS] > 3) and who had definite lumbar spinal nerve root compression findings on magnetic resonance imaging (MRI). The period of enrollment was from March 27, 2014 to February 28, 2015. The inclusion and exclusion criteria are presented in Table 1. The patients were sequentially enrolled into the study and prescribed to receive either an oral corticosteroid or control drugs according to the standard protocol: the odd-numbered patients received an oral corticosteroid (group A) and evennumbered patients received the control drugs (group B). Each group was comprised of 20 patients and 7 patients were lost during follow-up (Fig. 1). Group A patients were prescribed 4 mg triamcinolone (Ledercort; SK Chemical, Seongnam, Korea) twice daily for 2 weeks. Group B patients were prescribed either 7.5 mg pregabalin (Lyrica; Pfizer, Cambridge, MA, USA) twice daily for 2 weeks or 100 mg gabapentin (Neurontin; Pfizer) three times daily for 2 weeks. After the initial prescription, the drugs were tapered or doubled depending on side effects or the therapeutic effect, and the patients were monitored for 12 weeks. Study Procedures and Outcome Measures: The Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) questionnaire was completed by all patients at the initial visit to evaluate neurological lumbar radiating pain.11) In addition, the Oswestry Disability Index (ODI) and the Revised Roland Morris disability questionnaire (RMDQ) were completed to evaluate patient functional status. The Short Form 36 (SF-36) questionnaire was used to evaluate the patient's quality of life. Lumbar radiating pain was measured with VAS and objective baseline patient satisfaction was measured with numeric rating scale (NRS) at initial visit. The NRS is an 11-point scale ranging from 0 to 10 with the lower score meaning greater satisfaction. Pain, satisfaction, and objective improvement of patients or physicians were measured at 2, 6, and 12 weeks during the follow-up period. Functional status was evaluated at 6 weeks and 12 weeks, and quality of life was assessed at 12 weeks. The questionnaires were analyzed by a physician who was not involved in this study. Statistical Analysis: The IBM SPSS ver. 19.0 (IBM Co., Armonk, NY, USA) statistics program for Windows was used for all analyses. Fisher exact test, Student t-test, Wilcoxon signed-rank test, and repeated-measures two factor analysis of variance were used to detected differences between the groups. A p-value < 0.05 was considered statistically significant. RESULTS: Characteristics of the Study Sample Group A was comprised of 6 males and 14 females, and group B of 7 males and 13 females (Table 2). No difference was detected in the sex ratio between the two groups (p = 0.70). Their mean age when medications were prescribed was 62.5 ± 12.7 years (range, 18 to 78 years): 62.6 ± 13.2 years (range, 18 to 76 years) in group A and 62.4 ± 12.6 years (range, 20 to 78 years) in group B. No difference was observed in age between the groups (p = 0.13). Group A was comprised of 6 males and 14 females, and group B of 7 males and 13 females (Table 2). No difference was detected in the sex ratio between the two groups (p = 0.70). Their mean age when medications were prescribed was 62.5 ± 12.7 years (range, 18 to 78 years): 62.6 ± 13.2 years (range, 18 to 76 years) in group A and 62.4 ± 12.6 years (range, 20 to 78 years) in group B. No difference was observed in age between the groups (p = 0.13). Comparison of Radiating Pain Scores Radiating pain scores in group A were 4.9 ± 2.9 initially, 3.8 ± 2.8 at 2 weeks after starting the medication, 2.0 ± 2.3 at 6 weeks, and 2.0 ± 2.6 at 12 weeks after starting the medication (Table 3). The scores in group B were 4.8 ± 2.0 initially, 4.3 ± 2.4 after 2 weeks, 3.0 ± 2.2 after 6 weeks, and 3.2 ± 2.2 after 12 weeks of taking the medication. No difference was observed in the scores between the groups at the initial assessment (p = 0.16); however, group A showed greater improvement after 2, 6, and 12 weeks than group B at each time point (p < 0.001, p = 0.001, and p < 0.001, respectively). Radiating pain scores in group A were 4.9 ± 2.9 initially, 3.8 ± 2.8 at 2 weeks after starting the medication, 2.0 ± 2.3 at 6 weeks, and 2.0 ± 2.6 at 12 weeks after starting the medication (Table 3). The scores in group B were 4.8 ± 2.0 initially, 4.3 ± 2.4 after 2 weeks, 3.0 ± 2.2 after 6 weeks, and 3.2 ± 2.2 after 12 weeks of taking the medication. No difference was observed in the scores between the groups at the initial assessment (p = 0.16); however, group A showed greater improvement after 2, 6, and 12 weeks than group B at each time point (p < 0.001, p = 0.001, and p < 0.001, respectively). Comparison of Treatment Satisfaction and Improvement The NRS scores for baseline satisfaction of patients in group A were 3.4 ± 0.7 at the beginning of the treatment and 2.6 ± 1.3 after 12 weeks of taking the medication (Table 4). The NRS scores for baseline satisfaction of patients in group B were 3.3 ± 0.7 at the beginning and 2.8 ± 1.1 at 12 weeks after starting the medication. No differences in satisfaction were observed between two groups at the beginning or 12 weeks after taking the medication (p = 0.062 and p = 0.061, respectively). The scores for objective improvement in group A were 2.3 ± 0.9, 2.4 ± 1.0, and 2.3 ± 1.2 at 2, 6, and 12 weeks after taking the medication, respectively. The scores for objective improvement in group B were 2.0 ± 0.7, 2.1 ± 0.9, and 2.0 ± 0.8 at 2, 6, and 12 weeks after taking the medication, respectively. No differences in the magnitude of improvement experienced by the patients were observed between the groups (p = 0.657). The physician's scores of objective improvement of group A were 2.3 ± 1.0, 2.5 ± 1.0, and 2.4 ± 1.1 at 2, 6, and 12 weeks, respectively, after taking the medication. The physician's scores of objective improvement of group B were 2.0 ± 0.7, 2.2 ± 1.0, and 2.0 ± 0.8 at 2, 6, and 12 weeks, respectively, after taking the medication. No differences were observed between the two groups in terms of the objective improvement assessed by the physician (p = 0.748). The NRS scores for baseline satisfaction of patients in group A were 3.4 ± 0.7 at the beginning of the treatment and 2.6 ± 1.3 after 12 weeks of taking the medication (Table 4). The NRS scores for baseline satisfaction of patients in group B were 3.3 ± 0.7 at the beginning and 2.8 ± 1.1 at 12 weeks after starting the medication. No differences in satisfaction were observed between two groups at the beginning or 12 weeks after taking the medication (p = 0.062 and p = 0.061, respectively). The scores for objective improvement in group A were 2.3 ± 0.9, 2.4 ± 1.0, and 2.3 ± 1.2 at 2, 6, and 12 weeks after taking the medication, respectively. The scores for objective improvement in group B were 2.0 ± 0.7, 2.1 ± 0.9, and 2.0 ± 0.8 at 2, 6, and 12 weeks after taking the medication, respectively. No differences in the magnitude of improvement experienced by the patients were observed between the groups (p = 0.657). The physician's scores of objective improvement of group A were 2.3 ± 1.0, 2.5 ± 1.0, and 2.4 ± 1.1 at 2, 6, and 12 weeks, respectively, after taking the medication. The physician's scores of objective improvement of group B were 2.0 ± 0.7, 2.2 ± 1.0, and 2.0 ± 0.8 at 2, 6, and 12 weeks, respectively, after taking the medication. No differences were observed between the two groups in terms of the objective improvement assessed by the physician (p = 0.748). Comparison of Disability and Quality of Life Patients in group A were less disabled than those in group B based on the RMDQ scores (p = 0.014) whereas no difference was found in the ODI scores between the groups (p = 0.246) (Table 5). Group B had higher physical health scores than group A at 12 weeks after taking the medication (p = 0.017), whereas no difference in mental health scores was observed between the groups (p = 0.942). Patients in group A were less disabled than those in group B based on the RMDQ scores (p = 0.014) whereas no difference was found in the ODI scores between the groups (p = 0.246) (Table 5). Group B had higher physical health scores than group A at 12 weeks after taking the medication (p = 0.017), whereas no difference in mental health scores was observed between the groups (p = 0.942). Characteristics of the Study Sample: Group A was comprised of 6 males and 14 females, and group B of 7 males and 13 females (Table 2). No difference was detected in the sex ratio between the two groups (p = 0.70). Their mean age when medications were prescribed was 62.5 ± 12.7 years (range, 18 to 78 years): 62.6 ± 13.2 years (range, 18 to 76 years) in group A and 62.4 ± 12.6 years (range, 20 to 78 years) in group B. No difference was observed in age between the groups (p = 0.13). Comparison of Radiating Pain Scores: Radiating pain scores in group A were 4.9 ± 2.9 initially, 3.8 ± 2.8 at 2 weeks after starting the medication, 2.0 ± 2.3 at 6 weeks, and 2.0 ± 2.6 at 12 weeks after starting the medication (Table 3). The scores in group B were 4.8 ± 2.0 initially, 4.3 ± 2.4 after 2 weeks, 3.0 ± 2.2 after 6 weeks, and 3.2 ± 2.2 after 12 weeks of taking the medication. No difference was observed in the scores between the groups at the initial assessment (p = 0.16); however, group A showed greater improvement after 2, 6, and 12 weeks than group B at each time point (p < 0.001, p = 0.001, and p < 0.001, respectively). Comparison of Treatment Satisfaction and Improvement: The NRS scores for baseline satisfaction of patients in group A were 3.4 ± 0.7 at the beginning of the treatment and 2.6 ± 1.3 after 12 weeks of taking the medication (Table 4). The NRS scores for baseline satisfaction of patients in group B were 3.3 ± 0.7 at the beginning and 2.8 ± 1.1 at 12 weeks after starting the medication. No differences in satisfaction were observed between two groups at the beginning or 12 weeks after taking the medication (p = 0.062 and p = 0.061, respectively). The scores for objective improvement in group A were 2.3 ± 0.9, 2.4 ± 1.0, and 2.3 ± 1.2 at 2, 6, and 12 weeks after taking the medication, respectively. The scores for objective improvement in group B were 2.0 ± 0.7, 2.1 ± 0.9, and 2.0 ± 0.8 at 2, 6, and 12 weeks after taking the medication, respectively. No differences in the magnitude of improvement experienced by the patients were observed between the groups (p = 0.657). The physician's scores of objective improvement of group A were 2.3 ± 1.0, 2.5 ± 1.0, and 2.4 ± 1.1 at 2, 6, and 12 weeks, respectively, after taking the medication. The physician's scores of objective improvement of group B were 2.0 ± 0.7, 2.2 ± 1.0, and 2.0 ± 0.8 at 2, 6, and 12 weeks, respectively, after taking the medication. No differences were observed between the two groups in terms of the objective improvement assessed by the physician (p = 0.748). Comparison of Disability and Quality of Life: Patients in group A were less disabled than those in group B based on the RMDQ scores (p = 0.014) whereas no difference was found in the ODI scores between the groups (p = 0.246) (Table 5). Group B had higher physical health scores than group A at 12 weeks after taking the medication (p = 0.017), whereas no difference in mental health scores was observed between the groups (p = 0.942). DISCUSSION: Sciatica refers to radiating pain down the leg with dermatomal distribution and perhaps additional neurologic deficits.12) It can be caused by mechanical and/or inflammatory reaction that affects lumbosacral nerve roots.13) Sciatica is one of the most common diseases in the outpatient office and observed in approximately 1% of patients with acute low back pain.6141516) Several conventional treatments have been suggested for lumbar radiating pain, such as pain relief medications (acetaminophen, nonsteroidal anti-inflammatory drugs, muscle relaxants, anti-epileptic drugs [gabapentin and pregabalin], membrane stabilizing agents, and narcotics), spinal manipulation,1) physical therapy, massage, activity as tolerated, and time itself.7891014151718) If patients have intractable pain or progressive neurological deficit, epidural injection or surgical treatment such as decompressive laminotomy or discectomy can be needed.61618) Despite being a mostly self-limiting condition, sciatica is a great loss to society in terms of productivity, treatment costs, and disability even in the long term as well as at the initial episode.151819) Most studies on the outcomes of lumbar radiating pain have evaluated the results of different surgical and medical treatment methods in patients admitted to the hospital, particularly to the surgical department.12) Corticosteroids have been reported to decrease swelling in the affected nerve root and reduce sciatic symptoms.20) Haimovic and Beresford21) suggested that corticosteroids may reduce stretching pain evoked by acutely inflamed spinal nerve root in spite of the lack of clinical evidence.17) Only one blinded, randomized controlled study addressed this issue according to the PuBMed and MEDLINE database.21) In that study, all patients were hospitalized for bed rest for 1 week unlike our study. Patients in the study of Haimovic and Beresford21) received a 7-day tapering dose of oral dexamethasone. In contrast, patients in our study received a 12-week tapering dose of oral triamcinolone. Haimovic and Beresford21) reported that the efficacy of dexamethasone was no better than placebo in treating sciatic pain unlike our study. There is no consensus regarding the impact of oral glucocorticoid therapy on radiating pain, whereas epidural steroid injection has been associated with short-term improvement.161718222324) The results of our study conducted in contemporary outpatient setting are different from those of Haimovic and Beresford21) involving hospitalized patients published 20 years ago. Oral steroids did not show excellent efficacy in the study. However, patients in our study who received a corticosteroid such as triamcinolone experienced statistically significant, albeit subtle, improvements. Our results are consistent with those of some previous studies222324) where epidural steroid injection showed greatest benefits at 2–6 weeks after injection. Such effects can be explained by 2 factors: (1) physiological changes that reduce swelling of the affected nerve root through release of pro-inflammatory substances and (2) the cell membrane stabilizing effect of the steroid.20) Physicians who choose corticosteroids as an initial treatment for sciatica should ensure strict selection of patients with clear-cut signs and symptoms considering that not all patients with back/leg pain have lumbar radiculopathy.19) The physician should contemplate the risks and benefits of corticosteroids on patients, and be aware that potential advantages of this treatment will be effective in the short term based on the current clinical evidence.19) One of the limitations of our study is the relatively small sample size. In addition, the short follow-up period could have resulted in errors in the incidence of steroid side effects. In conclusion, oral corticosteroids for the treatment of lumbar radiating pain were more effective in pain relief than gabapentin or pregabalin. The satisfaction of patients and physicians on the drugs and objective improvement status was not inferior to gabapentin or pregabalin. The functional status of oral corticosteroid patients was better than the gabapentin or pregabalin patients based on the RMDQ scores and not inferior to the gabapentin or pregabalin patients according to the ODI scores although the physical health score of pregabalin or gabapentin was superior to that of the oral corticosteroid.
Background: Although both pregabalin and gabapentin are known to be useful for treating lumbar radiating pain and reducing the incidence of surgery, the oral corticosteroids sometimes offer a dramatic effect on severe radiating pain despite the lack of scientific evidence. Methods: A total of 54 patients were enrolled among 703 patients who complained of lumbar radiating pain. Twenty patients who received an oral corticosteroid was classified as group A and 20 patients who received the control drugs (pregabalin or gabapentin) as group B. Oswestry Disability Index (ODI), Revised Roland Morris disability questionnaire (RMDQ), Short Form 36 (SF-36) questionnaire, lumbar radiating pain, objective patient satisfaction, and objective improvement of patients or physicians were assessed at 2, 6, and 12 weeks after medication. Results: No difference in the sex ratio and age was observed between the groups (p = 0.70 and p = 0.13, respectively). Group A showed greater improvement in radiating pain after 2, 6, and 12 weeks than group B (p < 0.001, p = 0.001, and p < 0.001, respectively). No differences were observed between the groups in satisfaction at the beginning and 12 weeks after taking the medication (p = 0.062 and p = 0.061, respectively) and in objective improvement of patients and physicians (p = 0.657 and p = 0.748, respectively). Group A was less disabled and had greater physical health scores than group B (p = 0.014 and p = 0.017, respectively). Conclusions: Oral corticosteroids for the treatment of lumbar radiating pain can be more effective in pain relief than gabapentin or pregabalin. The satisfaction of patients and physicians with the drug and objective improvement status were not inferior to that with gabapentin or pregabalin.
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4,346
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[ 282, 185, 70, 109, 142, 294, 86 ]
10
[ "weeks", "group", "patients", "12", "12 weeks", "scores", "medication", "pain", "improvement", "groups" ]
[ "physicians choose corticosteroids", "pain lumbar radiculopathy", "patients complained lumbar", "lumbar spinal nerve", "evaluate neurological lumbar" ]
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[CONTENT] Radiculopathies | Corticosteroids | Gabapentin | Pregabalin [SUMMARY]
[CONTENT] Radiculopathies | Corticosteroids | Gabapentin | Pregabalin [SUMMARY]
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[CONTENT] Radiculopathies | Corticosteroids | Gabapentin | Pregabalin [SUMMARY]
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[CONTENT] Adolescent | Adrenal Cortex Hormones | Adult | Aged | Amines | Analgesics | Cyclohexanecarboxylic Acids | Female | Gabapentin | Humans | Low Back Pain | Lumbosacral Region | Male | Middle Aged | Patient Satisfaction | Pregabalin | Quality of Life | Radiculopathy | Surveys and Questionnaires | Young Adult | gamma-Aminobutyric Acid [SUMMARY]
[CONTENT] Adolescent | Adrenal Cortex Hormones | Adult | Aged | Amines | Analgesics | Cyclohexanecarboxylic Acids | Female | Gabapentin | Humans | Low Back Pain | Lumbosacral Region | Male | Middle Aged | Patient Satisfaction | Pregabalin | Quality of Life | Radiculopathy | Surveys and Questionnaires | Young Adult | gamma-Aminobutyric Acid [SUMMARY]
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[CONTENT] Adolescent | Adrenal Cortex Hormones | Adult | Aged | Amines | Analgesics | Cyclohexanecarboxylic Acids | Female | Gabapentin | Humans | Low Back Pain | Lumbosacral Region | Male | Middle Aged | Patient Satisfaction | Pregabalin | Quality of Life | Radiculopathy | Surveys and Questionnaires | Young Adult | gamma-Aminobutyric Acid [SUMMARY]
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[CONTENT] physicians choose corticosteroids | pain lumbar radiculopathy | patients complained lumbar | lumbar spinal nerve | evaluate neurological lumbar [SUMMARY]
[CONTENT] physicians choose corticosteroids | pain lumbar radiculopathy | patients complained lumbar | lumbar spinal nerve | evaluate neurological lumbar [SUMMARY]
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[CONTENT] physicians choose corticosteroids | pain lumbar radiculopathy | patients complained lumbar | lumbar spinal nerve | evaluate neurological lumbar [SUMMARY]
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[CONTENT] weeks | group | patients | 12 | 12 weeks | scores | medication | pain | improvement | groups [SUMMARY]
[CONTENT] weeks | group | patients | 12 | 12 weeks | scores | medication | pain | improvement | groups [SUMMARY]
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[CONTENT] weeks | group | patients | 12 | 12 weeks | scores | medication | pain | improvement | groups [SUMMARY]
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[CONTENT] patients | weeks | patient | pain | lumbar | mg | test | measured | daily | evaluate [SUMMARY]
[CONTENT] group | scores | weeks | medication | 12 weeks | taking | taking medication | 12 | years | respectively [SUMMARY]
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[CONTENT] group | weeks | scores | patients | 12 | 12 weeks | medication | years | groups | taking medication [SUMMARY]
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[CONTENT] 54 | 703 ||| Twenty | A and 20 | pregabalin | gabapentin | B. Oswestry Disability | Roland Morris | RMDQ | SF-36 | 2 | 6 | 12 weeks [SUMMARY]
[CONTENT] 0.70 | 0.13 ||| Group A | 2 | 6 | 12 weeks | B (p < 0.001 | 0.001 | p < 0.001 ||| the beginning and 12 weeks | 0.062 | 0.061 | 0.657 | 0.748 ||| Group A | B (p = | 0.014 | 0.017 [SUMMARY]
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[CONTENT] pregabalin | gabapentin ||| 54 | 703 ||| Twenty | A and 20 | pregabalin | gabapentin | B. Oswestry Disability | Roland Morris | RMDQ | SF-36 | 2 | 6 | 12 weeks ||| 0.70 | 0.13 ||| Group A | 2 | 6 | 12 weeks | B (p < 0.001 | 0.001 | p < 0.001 ||| the beginning and 12 weeks | 0.062 | 0.061 | 0.657 | 0.748 ||| Group A | B (p = | 0.014 | 0.017 ||| gabapentin | pregabalin ||| gabapentin | pregabalin [SUMMARY]
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[An online dynamic knowledge base in multiple languages on general medicine and primary care].
31223358
The International Classification of Primary Care, Second version (ICPC-2) aligned with the 10th Revision of the International Classification of Disease (ICD-10) is a standard for primary care epidemiology compendium. ICPC-2 has been also intended to identify the clinical topics in family medicine. Contextual field-specific knowledge in family medicine and primary care such as health structures, management, categories of patients, research methods, ethical or environmental features are not standardized and reflect, more often, the views of experts.
INTRODUCTION
A qualitative research method, applied to the analysis of several Family Medicine congresses, has helped identify, in addition to clinical items, a spectrum of contextual concepts addressed by family doctors during their exchanges at the congresses. Assembled in a hierarchical manner, these concepts were given expression, together with ICPC-2, under the name of Q-codes Version 2.5, in the multilingual multi-terminology semantic server of the Department of Information and medical informatics (D2Im) at the University of Rouen, France. The two classifications are edited under the acronym 3 CGP for Core Content classification of General Practice. This free access server allows you to consult the ICPC-2 in 22 languages and the Q-codes in ten languages.
METHODS
The result of the joint use of these two classifications, as descriptors in congress to identify the concepts in texts or index the gray literature for family medicine and primary care is presented here in its various pilot uses. The validity and generalizability of 3CGP appears to be good in the light of the translations already carried out by colleagues around the world and of the applicability of the method in the two sides of the Atlantic. However the reproducibility and the inter-coder variations still remain to be tested for Q-codes. Maintenance remains an issue.
RESULTS
This method highlights the conceptual extension, the complexity and the dynamics of the role of general practitioner and family doctor as well as of primary care physician.
CONCLUSION
[ "General Practice", "General Practitioners", "Humans", "International Classification of Diseases", "Internet", "Knowledge Bases", "Language", "Physician's Role", "Physicians, Family", "Primary Health Care", "Reproducibility of Results", "Terminology as Topic" ]
6560960
Introduction
Le contenu de l'enseignement de la médecine générale n'est pas standardisé. Malgré des définitions très élaborées de la médecine de famille, [1] la manière dont la profession est structurée varie énormément entre les recommandations [2, 3] ou les traités [4-8]. Ceci est particulièrement vrai pour les caractéristiques managériales et contextuelles. Ces manuels offrent les vues des personnalités de haut niveau de la profession agissant comme experts. Dans la plupart des facultés francophones, ce sont des médecins spécialistes qui déterminent le programme de formation en médecine et en médecine générale. Peu d'universités appliquent la méthode basée sur les problèmes dont les enseignants sont des médecins généralistes pédagogues [9, 10]. Le médecin de famille est formé dans les universités par d'excellents spécialistes, le plus souvent très orientés vers les maladies rares. Dans son métier pourtant, le médecin de famille voit les maladies les plus fréquentes et est l'interlocuteur quotidien de l'homme souffrant et vieillissant, aux maladies intriquées. Rappelons qu'en termes de problèmes de santé, le Médecin de famille résout à son niveau la plupart des problèmes de santé qui lui sont présentés [11]. Mais à la longue, le temps exprimé par la continuité est un des éléments centraux de la médecine de famille [12], le médecin de famille devient aussi un spécialiste de patients porteurs de maladie rare [13]. Au fil du temps le médecin de famille rencontre les problèmes de santé les plus fréquents. Mais au fur et à mesure des années il aura à accompagner de plus en plus de patients porteurs de maladies rares ou peu fréquentes différente [14]. La probabilité qu'il a de rencontrer telle ou telle maladie peu fréquentes est chaque année minime mais elle est cumulative au cours des ans. Quand il la rencontrera, il n'aura plus que de lointains souvenirs de son enseignement. Il lui faudra alors trouver l'information lui permettant d'accompagner le patient sur la durée. Il lui faudra être plus discriminant et plus rapide que ce dernier dans sa quête d'information [15]. Trouver l'information au point de soin n'est pas une matière vraiment enseignée. Dans une enquête récente Brassil et al. [16] montrent que la plupart des médecins interrogés n'ont aucune formation formelle en matière de recherche dans les bases de données, ni ne sont au courant de l'existence de nombreuses ressources numériques. Notre propos est d'identifier, en interrogeant les acteurs de terrain, les domaines de compétence qui les préoccupent et de leur fournir des instruments documentaires leur permettant de répondre à leurs besoins.
Méthodes
Une grille de la connaissance clinique spécifique à la médecine de famille est déjà disponible dans la classification internationale des soins primaires, deuxième édition (CISP-2) celle-ci, alignée sur la classification internationale des maladies dixième révision (CIM-10) est un standard pour le recueil épidémiologique en Soins Primaires [11, 17, 18]. Il s'agit là d'un outil de gestion du champ de connaissance clinique, soit de la liste des problèmes de santé les plus fréquents ou les plus importants ainsi que des procédures mis en œuvre au premier niveau de soin. Les médecins de famille ont développé un autre savoir, non clinique celui-là, que nous appelons contextuel, et qui leur permet de traiter de l'organisation des soins, des relations aux patients, de la recherche ou de l'éthique. Que ce soit au niveau régional, national ou international, les médecins de famille sont aussi des grands producteurs de communications lors de congres. Rien que dans les congrès annuels organisés par l'Organisation mondiale des médecins de famille (WONCA) sur chaque continent, on compte déjà plusieurs milliers d'abstracts. En analysant ces communications, on a pu faire remonter du terrain la connaissance nécessaire à l'exercice du métier et établir une grille du savoir contextuel nécessaire à son exercice. Une étude qualitative, conduite sur plus de deux milles résumés de communications de médecins généralistes lors de congrès, a permis la mise en évidence de champs de savoir spécifique à la médecine de famille. Une liste de 187 concepts a été élaborée dans une classification hiérarchique [19, 20]. Ces concepts sont organisés en 8 domaines qui traitent de la gestion de la connaissance et ce y compris l'enseignement, des questions d'organisations, d'éthique, d'environnement, de la recherche ou des relations aux patients. Un domaine supplémentaire (QO autre) est réservé aux codages de situations imprécises ou aux concepts qui apparaissent de novo et devraient être inclus dans une version ultérieure. L'ensemble est proposé sous le nom de Q-Codes version 2.5. La lettre Q a été choisie car elle était disponible dans la CISP-2. Les deux classifications, l'une clinique, la CISP-2, l'autre contextuelle, les Q-codes, sont éditées conjointement sous le sigle 3CGP pour Core Content Classification of General Practice sur le serveur multilingue multi-terminologique www.hetop.eu/3CGP/fr.
Résultats
Construction d'une base de données des thèmes discutés par les acteurs de terrain: on montre ici les domaines d'application et les résultats déjà acquis par l'indexation de travaux de médecins de famille au moyen de 3CGP. 3CGP sur le serveur terminologique HeTOP: le serveur HeTOP édité par le département d'information et d'informatique médicale (D2IM) de l'université de Rouen, France [21] édite 70 terminologies dont la CISP-2 et les Q-codes. Le projet est détaillé sur http://3cgp.docpatient.net/. Les rubriques de la CISP-2 y sont disponibles en 22 langues et les Q-codes en 10 langues. Outre le libellé, chacun des 187 Q-codes comprend une définition, une description de contenu conceptuel, une sélection d'articles en accès libre explicitant le concept, un lien vers la base de données sémantique Babelnet.org et un lien à la base Dbpedia, mère de Wikipédia. En outre, les Q-codes sont mis en relation avec les Medical Subject Headings (MeSH) de la National Library of Medicine. La question des alignements aux MeSH les plus appropriés a fait l'objet d'une étude approfondie décrite par ailleurs [19]. Ces alignements permettent un lien automatisé à la banque de données bibliographique de langue française LISSA (un million d'entrées) [22] et à PubMed. Les Q-codes et la CISP-2, préparés pour le Web sémantique, sont exportables en tableur Excel et dans le Web Ontology Language (OWL) ce qui permet leur usage dans l'internet sémantique et en traitement automatique des langues (TAL) comme dans l'extracteur automatique de concepts à partir de textes ECTMV3 [23]. La CISP-2 et la base de Q-codes version 2.5 sur le serveur HeTOP: chacune des 784 rubriques de la CISP-2 et les 187 Q-codes disposent d'une adresse internet spécifique appelée identifiant uniforme de ressource, (URI - Uniforme Resource Identifier) qui permet la gestion informatisée de l'information. Dans la liste des domaines présentée à la Figure 1 les entrées sont interactives et permettent au lecteur d'explorer les possibilités de la base de données. Il y a un URI par item et par langue choisie. Des médecins généralistes de nombreux pays se sont montrés intéressés et volontaires pour traduire et les Q-codes sont disponibles en français, anglais, espagnol, portugais, néerlandais, turc, kartuli (Géorgie), ukrainien, coréen et vietnamien. D'autres traductions sont en cours. Les 17 chapitres de la CISP-2, la CISP-2 Procédures et les 8 domaines des Q-Codes version 2.5 en français Publication de terminologies multilingues de la médecine de famille: une publication imprimée a été réalisée reprenant exclusivement les Q-codes et leur définitions (appelées aussi note de contenu) ainsi qu'un historique et un mode d'emploi. Ces ouvrages constituent un dictionnaire des aspects contextuels de la médecine de famille et des soins primaires. Ils sont disponibles en français, anglais, néerlandais, espagnol, portugais et vietnamien sur le site http://3cgp.docpatient.net/the-book et sous forme de livres [24]. Utilisation des hyperliens dans des textes d'enseignement: à titre d'exemple d'utilisation, on lie ici les concepts d'un texte concernant la médecine générale. Il suffira au lecteur désireux d'approfondir la signification des concepts soulignés de cliquer sur le lien: « On sait que la médecine de famille et les soins de santé primaires (SSP) partagent les concepts de continuité, globalité et accessibilité des soins. Toutefois, on a montré que les SSP concernent la structure des pratiques tandis que la médecine de famille concerne la gestion d'un métier bien qu'ils prônent tous deux la prise de décision partagée dans la relation médecin patient » [25]. Support de recherche bibliographique: le lecteur trouvera sur www.hetop.eu/3CGP/fr de quoi alimenter sa connaissance en même temps qu'un accès à un filtre bibliographique sur l'item choisi pour tous les Q-codes et pour 20% des codes CISP-2. La façon d'utiliser ce support pour la recherche bibliographique est décrite par ailleurs [26]. A titre d'exemple on peut consulter le sous-domaine QD4 Prévention. On aura ainsi accès aux quatre formes de prévention, à leur illustration et à un filtre spécifique pour chaque item présenté. La question difficile des descripteurs MeSH concernant la prévention secondaire et la prévention quaternaire (QD44) a été traitée par ailleurs en détail [19]. Le filtre sur la Prévention quaternaire a été créé dans HeTOP en texte libre (TW"Text word" dans PubMed) en raison de l'absence de descripteur MeSH pour ce concept. Le filtre sur QD44 génère la stratégie de recherche suivante; ("no harm"[TW] OR “quaternary prevention”[TW] OR “prevention of medicine”[TW]) Cette stratégie de recherche dégage 1671 citations sur PubMed en date du 14 mars 2018. Si on croise cette stratégie avec celle dégagée par le Q-code QS41 médecine de famille, on réalise un deuxième filtre, spécifique à la médecine de famille qui délivre 58 citations. Si on croise avec le Q-codes QS1 Soins de Santé Primaires on obtient 29 citations. Ce croisement de filtres est aisé à réaliser en utilisant le module My NCBI qui permet à l'utilisateur d'enregistrer ses propres filtres [27, 28]. Indexation de travaux en médecine de famille: les Q-codes ont été élaborés à la suite de l'analyse qualitative de communications de différents congrès de médecine de famille. Ils ont été utilisés en même temps que la CISP-2 pour indexer 2.300 résumés. Dans leur état actuel, les Q-codes ne représentent que les concepts inclus dans les contenus déjà analysés. On s'attend naturellement à ce que la liste des Q-codes s'allonge avec les nouvelles contributions apportées par les médecins de famille lors de congres. Il est étonnant que, dans les congrès analysés pour la mise au point de l'outil, on ait retrouvé que peu de communications traitant de l'éthique (Q-code QE) ou de questions d'environnement (Q-code QH). Cette tendance se confirme lors des utilisations des Q-codes en application ultérieures. A titre d'exemple on en décrit ci-dessous trois expériences d'utilisation. Université de Coimbra, Portugal, faculté de médecine, travaux de fin d'étude: trois universités belges ont décidé d'utiliser 3CGP comme descripteur des travaux de fin d'étude (TFE) des médecins de famille en fin de formation. Un guide d'indexation (voir www.mgtfe.be) a été réalisé et incorporé au guide de réalisation d'un TFE [29]. Ce guide et la méthode ont été utilisés par Mme Ariana de Oliveira Tavares, étudiante en médecine en dernière année, pour l'analyse qualitative de 169 travaux de fin d'étude réalisés par des étudiants de la faculté de Coimbra, Portugal, entre 2008 et 2017 [30]. Ces travaux ont été étudiés un à un et codés par la CISP-2 et par les Q-codes. On peut suivre à la Figure 2 l'évolution de la représentation de chaque Q-codes au travers du temps. Les étudiants sont bien sûr attirés par les enjeux du médecin (code QD - courbe rouge) qui rassemblent par exemple la communication, la gestion des problèmes de santé ou la prévention. Les questions éthiques sont peu abordées et les questions d'environnement ne le sont pas du tout. Par contre on voit que les questions relatives aux patients (code QP - courbe bleue)) soit la sécurité, l'accessibilité, les perspectives de vie, etc. attirent de plus en plus les étudiants traduisant peut-être une évolution dans la formation. Évolution temporelle de l'application des Q-codes dans les travaux finaux de la 6ème année 370 de médecine 2008-2017 Utilisation de 3CGP lors du Congrès Brésilien de Médecine de Famille en 2017: fin 2017, à l'initiative du comité scientifique, le congrès de la Société Brésilienne de médecine familiale et communautaire [28], qui s'est tenu à Curitiba le 7 décembre 2017, a fourni 1746 résumés de contribution encodés par les participants au moment de la soumission en ligne de leur résumé. Les rubriques de 3CGP étaient présentées comme les mots clefs obligatoires. Les Figure 3, Figure 4 montrent les résultats globaux du codage par les déposants. Du point de vue clinique, l'intérêt des participants pour les questions psychologiques (CISP-2 chapitre P) et sociale (CISP-2 chapitre Z), pour la grossesse et la planification familiale (CISP-2 chapitre W) est très tranché. L'importance du chapitre s'explique par de nombreuses communications sur des épisodes préventifs. La distribution constatée est très différente de la distribution habituellement relevée en consultation où les problèmes respiratoires, cardiaques et digestifs sont bien plus nombreux et les problèmes sociaux ne sont quasiment pas relevés. L'importance du chapitre T (nutrition) s'explique par les nombreuses communications consacrées au diabète. On note (Figure 4) que sur les 3.424 Q-codes attribués (soit entre deux et trois par résumé), 931 contributions ont portés sur les enjeux du médecin (QD), 624 sur les catégories de patients (QC), 352 sur les enjeux du patient (QP), 458 sur la recherche (QR), 544 sur l'enseignement (QT). Le code QO utilisés 44 fois indiquent que le déposant n'a pas trouvé le code correspondant à son thème. Une étude minutieuse a permis de réattribuer chaque thème. Ce qui est le plus frappant, ce sont le peu de codes concernant l'éthique (QE) et environnement (QH). Ce phénomène se retrouve dans tous les congrès analysés à ce jour et mériterait une investigation complémentaire. Distribution de 755 codes CISP-2 sur 1746 abstracts acceptés (384 communications orales et 374 1362 posters) SBMFC-Curitiba-2017 Utilisation des Q-codes comme système d'indexation du Congres SBMFC de Curutiba, 376 Brésil, Novembre 2017 Analyse des thèmes contextuels abordés par le groupe WONCA Vasco de Gama, congrès 2018, Porto: lors du congrès du groupe WONCA Vasco De Gama 2018 à Porto, Portugal, les jeunes médecins européens ont échangé 97 communications (y compris les key notes) codées par un seul observateur (Figure 5). Malgré le petit nombre, en comparaison des 1746 communications auto-codées des médecins brésiliens, on retrouve une distribution similaire des concepts identifiés par les Q-codes version 2.5 et ce malgré la différence de méthodologie de codage [31]. Cette fois-ci il n'y a aucune contribution sur santé et environnement (QH). Sur les 97 communications 7 touchaient à l'éthique avec 1,8% des codes attribués. Il y a 380 codages de caractéristiques contextuelles par 119 Q-codes différents. Les enjeux du médecin (QD) dont la continuité et la globalité représentent 92 codes (24,2%). Les enjeux du patient (QP) comme l'accessibilité, la participation, la sécurité ; 39 codes (10,3%). La structure de la pratique (QS) ; 80 codes (21,1%). On peut souligner que quatre communications sont codées sous QR1 Philosophie des sciences. Les auteurs posent des questions fondamentales sur le positionnement du médecin face à des enjeux idéologiques et politiques et proposent une approche critique face aux défis humains. Le Q-codes QO pour “autre” a cette fois ramené une manne intéressante puisque plusieurs concepts discutés non présents dans la version actuelle ont été retenus pour de nouvelles entrées éventuelles dans la version 2.6 des Q-codes comme; activité physique du patient, test au point de soin, médecine communautaire, nutritionniste, dentiste et orthophoniste. Thèmes contextuels abordés par les jeunes médecins européens, VDGM Porto, Février 2018 Indexation de la littérature grise: en Uruguay Miguel Pizanelli a créé le projet Not@sLoc@s (notes folles en français, madnotes en anglais) dont la moto est Donnons de la couleur à la littérature grise. Il s'agit d'un blog Internet où sont rassemblés un ensemble de rapports, travaux d'étudiants, travaux de recherches réalisés pendant la formation des externes et internes de médecine à la faculté de médecine de la république (UDELAR), Montevideo, Uruguay (https://notaslocasmadnotes.wordpress.com/). Il s'agit de littérature grise, soit de travaux non officiellement publiés dont les idées sont intéressantes où qui se réfèrent à de la connaissance contrôlée (au sens de la médecine factuelle (EBM) du terme). Not@sLoc@s est une plate-forme locale conçue tant pour garder trace que soutenir l'échange et la collaboration. Le groupe a un compte Twitter @RedMadNotes. La base de données contient toutes les informations concernant un domaine exploré par les étudiants ainsi que les réactions et commentaires. Le travail est classé avec les Q-codes version 2.5 et la CISP-2. Une fonction de recherche permet à un utilisateur de retrouver les articles codés de la même façon.
Conclusion
Le métier de médecin de famille relie la médecine technologique aux humains et les protège des errements de la science grâce à l'expertise du domaine, l'information et la communication. La gestion de l'information, cœur de l'activité, devrait contribuer au développement du métier et à la formation des professionnels des soins primaires. Etat des connaissances actuelles sur le sujet La formation des acteurs de soins primaires n'est pas standardisée; Les tables des matières des Textbook de médecine générale sont hétéroclites; Le contenu conceptuel des communications des médecins généralistes lors de congrès est peu identifié. La formation des acteurs de soins primaires n'est pas standardisée; Les tables des matières des Textbook de médecine générale sont hétéroclites; Le contenu conceptuel des communications des médecins généralistes lors de congrès est peu identifié. Contribution de notre étude à la connaissance Une analyse qualitative du contenu de congrès de médecine générale permet d'identifier les thèmes discutés et de les organiser dans une nouvelle classification dénommée Q-codes; Les Q-codes et la CISP-2 sont proposés en ligne en plusieurs langues sur http://www.hetop.eu/3CGP/Fr; Cet ensemble de classifications permet l'analyse de l'activité des médecins généralistes et la gestion de la connaissance en soins primaires. Une analyse qualitative du contenu de congrès de médecine générale permet d'identifier les thèmes discutés et de les organiser dans une nouvelle classification dénommée Q-codes; Les Q-codes et la CISP-2 sont proposés en ligne en plusieurs langues sur http://www.hetop.eu/3CGP/Fr; Cet ensemble de classifications permet l'analyse de l'activité des médecins généralistes et la gestion de la connaissance en soins primaires.
[ "Etat des connaissances actuelles sur le sujet", "Contribution de notre étude à la connaissance" ]
[ "La formation des acteurs de soins primaires n'est pas standardisée;\nLes tables des matières des Textbook de médecine générale sont hétéroclites;\nLe contenu conceptuel des communications des médecins généralistes lors de congrès est peu identifié.", "Une analyse qualitative du contenu de congrès de médecine générale permet d'identifier les thèmes discutés et de les organiser dans une nouvelle classification dénommée Q-codes;\nLes Q-codes et la CISP-2 sont proposés en ligne en plusieurs langues sur http://www.hetop.eu/3CGP/Fr;\nCet ensemble de classifications permet l'analyse de l'activité des médecins généralistes et la gestion de la connaissance en soins primaires." ]
[ null, null ]
[ "Introduction", "Méthodes", "Résultats", "Discussion", "Conclusion", "Etat des connaissances actuelles sur le sujet", "Contribution de notre étude à la connaissance", "Conflits d’intérêts" ]
[ "Le contenu de l'enseignement de la médecine générale n'est pas standardisé. Malgré des définitions très élaborées de la médecine de famille, [1] la manière dont la profession est structurée varie énormément entre les recommandations [2, 3] ou les traités [4-8]. Ceci est particulièrement vrai pour les caractéristiques managériales et contextuelles. Ces manuels offrent les vues des personnalités de haut niveau de la profession agissant comme experts. Dans la plupart des facultés francophones, ce sont des médecins spécialistes qui déterminent le programme de formation en médecine et en médecine générale. Peu d'universités appliquent la méthode basée sur les problèmes dont les enseignants sont des médecins généralistes pédagogues [9, 10]. Le médecin de famille est formé dans les universités par d'excellents spécialistes, le plus souvent très orientés vers les maladies rares. Dans son métier pourtant, le médecin de famille voit les maladies les plus fréquentes et est l'interlocuteur quotidien de l'homme souffrant et vieillissant, aux maladies intriquées. Rappelons qu'en termes de problèmes de santé, le Médecin de famille résout à son niveau la plupart des problèmes de santé qui lui sont présentés [11]. Mais à la longue, le temps exprimé par la continuité est un des éléments centraux de la médecine de famille [12], le médecin de famille devient aussi un spécialiste de patients porteurs de maladie rare [13]. Au fil du temps le médecin de famille rencontre les problèmes de santé les plus fréquents. Mais au fur et à mesure des années il aura à accompagner de plus en plus de patients porteurs de maladies rares ou peu fréquentes différente [14]. La probabilité qu'il a de rencontrer telle ou telle maladie peu fréquentes est chaque année minime mais elle est cumulative au cours des ans. Quand il la rencontrera, il n'aura plus que de lointains souvenirs de son enseignement. Il lui faudra alors trouver l'information lui permettant d'accompagner le patient sur la durée. Il lui faudra être plus discriminant et plus rapide que ce dernier dans sa quête d'information [15]. Trouver l'information au point de soin n'est pas une matière vraiment enseignée. Dans une enquête récente Brassil et al. [16] montrent que la plupart des médecins interrogés n'ont aucune formation formelle en matière de recherche dans les bases de données, ni ne sont au courant de l'existence de nombreuses ressources numériques. Notre propos est d'identifier, en interrogeant les acteurs de terrain, les domaines de compétence qui les préoccupent et de leur fournir des instruments documentaires leur permettant de répondre à leurs besoins.", "Une grille de la connaissance clinique spécifique à la médecine de famille est déjà disponible dans la classification internationale des soins primaires, deuxième édition (CISP-2) celle-ci, alignée sur la classification internationale des maladies dixième révision (CIM-10) est un standard pour le recueil épidémiologique en Soins Primaires [11, 17, 18]. Il s'agit là d'un outil de gestion du champ de connaissance clinique, soit de la liste des problèmes de santé les plus fréquents ou les plus importants ainsi que des procédures mis en œuvre au premier niveau de soin. Les médecins de famille ont développé un autre savoir, non clinique celui-là, que nous appelons contextuel, et qui leur permet de traiter de l'organisation des soins, des relations aux patients, de la recherche ou de l'éthique. Que ce soit au niveau régional, national ou international, les médecins de famille sont aussi des grands producteurs de communications lors de congres. Rien que dans les congrès annuels organisés par l'Organisation mondiale des médecins de famille (WONCA) sur chaque continent, on compte déjà plusieurs milliers d'abstracts. En analysant ces communications, on a pu faire remonter du terrain la connaissance nécessaire à l'exercice du métier et établir une grille du savoir contextuel nécessaire à son exercice. Une étude qualitative, conduite sur plus de deux milles résumés de communications de médecins généralistes lors de congrès, a permis la mise en évidence de champs de savoir spécifique à la médecine de famille. Une liste de 187 concepts a été élaborée dans une classification hiérarchique [19, 20]. Ces concepts sont organisés en 8 domaines qui traitent de la gestion de la connaissance et ce y compris l'enseignement, des questions d'organisations, d'éthique, d'environnement, de la recherche ou des relations aux patients. Un domaine supplémentaire (QO autre) est réservé aux codages de situations imprécises ou aux concepts qui apparaissent de novo et devraient être inclus dans une version ultérieure. L'ensemble est proposé sous le nom de Q-Codes version 2.5. La lettre Q a été choisie car elle était disponible dans la CISP-2. Les deux classifications, l'une clinique, la CISP-2, l'autre contextuelle, les Q-codes, sont éditées conjointement sous le sigle 3CGP pour Core Content Classification of General Practice sur le serveur multilingue multi-terminologique www.hetop.eu/3CGP/fr.", "\nConstruction d'une base de données des thèmes discutés par les acteurs de terrain: on montre ici les domaines d'application et les résultats déjà acquis par l'indexation de travaux de médecins de famille au moyen de 3CGP.\n\n3CGP sur le serveur terminologique HeTOP: le serveur HeTOP édité par le département d'information et d'informatique médicale (D2IM) de l'université de Rouen, France [21] édite 70 terminologies dont la CISP-2 et les Q-codes. Le projet est détaillé sur http://3cgp.docpatient.net/. Les rubriques de la CISP-2 y sont disponibles en 22 langues et les Q-codes en 10 langues. Outre le libellé, chacun des 187 Q-codes comprend une définition, une description de contenu conceptuel, une sélection d'articles en accès libre explicitant le concept, un lien vers la base de données sémantique Babelnet.org et un lien à la base Dbpedia, mère de Wikipédia. En outre, les Q-codes sont mis en relation avec les Medical Subject Headings (MeSH) de la National Library of Medicine. La question des alignements aux MeSH les plus appropriés a fait l'objet d'une étude approfondie décrite par ailleurs [19]. Ces alignements permettent un lien automatisé à la banque de données bibliographique de langue française LISSA (un million d'entrées) [22] et à PubMed. Les Q-codes et la CISP-2, préparés pour le Web sémantique, sont exportables en tableur Excel et dans le Web Ontology Language (OWL) ce qui permet leur usage dans l'internet sémantique et en traitement automatique des langues (TAL) comme dans l'extracteur automatique de concepts à partir de textes ECTMV3 [23].\n\nLa CISP-2 et la base de Q-codes version 2.5 sur le serveur HeTOP: chacune des 784 rubriques de la CISP-2 et les 187 Q-codes disposent d'une adresse internet spécifique appelée identifiant uniforme de ressource, (URI - Uniforme Resource Identifier) qui permet la gestion informatisée de l'information. Dans la liste des domaines présentée à la Figure 1 les entrées sont interactives et permettent au lecteur d'explorer les possibilités de la base de données. Il y a un URI par item et par langue choisie. Des médecins généralistes de nombreux pays se sont montrés intéressés et volontaires pour traduire et les Q-codes sont disponibles en français, anglais, espagnol, portugais, néerlandais, turc, kartuli (Géorgie), ukrainien, coréen et vietnamien. D'autres traductions sont en cours.\nLes 17 chapitres de la CISP-2, la CISP-2 Procédures et les 8 domaines des Q-Codes version 2.5 en français\n\nPublication de terminologies multilingues de la médecine de famille: une publication imprimée a été réalisée reprenant exclusivement les Q-codes et leur définitions (appelées aussi note de contenu) ainsi qu'un historique et un mode d'emploi. Ces ouvrages constituent un dictionnaire des aspects contextuels de la médecine de famille et des soins primaires. Ils sont disponibles en français, anglais, néerlandais, espagnol, portugais et vietnamien sur le site http://3cgp.docpatient.net/the-book et sous forme de livres [24].\n\nUtilisation des hyperliens dans des textes d'enseignement: à titre d'exemple d'utilisation, on lie ici les concepts d'un texte concernant la médecine générale. Il suffira au lecteur désireux d'approfondir la signification des concepts soulignés de cliquer sur le lien: « On sait que la médecine de famille et les soins de santé primaires (SSP) partagent les concepts de continuité, globalité et accessibilité des soins. Toutefois, on a montré que les SSP concernent la structure des pratiques tandis que la médecine de famille concerne la gestion d'un métier bien qu'ils prônent tous deux la prise de décision partagée dans la relation médecin patient » [25].\n\nSupport de recherche bibliographique: le lecteur trouvera sur www.hetop.eu/3CGP/fr de quoi alimenter sa connaissance en même temps qu'un accès à un filtre bibliographique sur l'item choisi pour tous les Q-codes et pour 20% des codes CISP-2. La façon d'utiliser ce support pour la recherche bibliographique est décrite par ailleurs [26]. A titre d'exemple on peut consulter le sous-domaine QD4 Prévention. On aura ainsi accès aux quatre formes de prévention, à leur illustration et à un filtre spécifique pour chaque item présenté. La question difficile des descripteurs MeSH concernant la prévention secondaire et la prévention quaternaire (QD44) a été traitée par ailleurs en détail [19]. Le filtre sur la Prévention quaternaire a été créé dans HeTOP en texte libre (TW\"Text word\" dans PubMed) en raison de l'absence de descripteur MeSH pour ce concept. Le filtre sur QD44 génère la stratégie de recherche suivante; (\"no harm\"[TW] OR “quaternary prevention”[TW] OR “prevention of medicine”[TW]) Cette stratégie de recherche dégage 1671 citations sur PubMed en date du 14 mars 2018. Si on croise cette stratégie avec celle dégagée par le Q-code QS41 médecine de famille, on réalise un deuxième filtre, spécifique à la médecine de famille qui délivre 58 citations. Si on croise avec le Q-codes QS1 Soins de Santé Primaires on obtient 29 citations. Ce croisement de filtres est aisé à réaliser en utilisant le module My NCBI qui permet à l'utilisateur d'enregistrer ses propres filtres [27, 28].\n\nIndexation de travaux en médecine de famille: les Q-codes ont été élaborés à la suite de l'analyse qualitative de communications de différents congrès de médecine de famille. Ils ont été utilisés en même temps que la CISP-2 pour indexer 2.300 résumés. Dans leur état actuel, les Q-codes ne représentent que les concepts inclus dans les contenus déjà analysés. On s'attend naturellement à ce que la liste des Q-codes s'allonge avec les nouvelles contributions apportées par les médecins de famille lors de congres. Il est étonnant que, dans les congrès analysés pour la mise au point de l'outil, on ait retrouvé que peu de communications traitant de l'éthique (Q-code QE) ou de questions d'environnement (Q-code QH). Cette tendance se confirme lors des utilisations des Q-codes en application ultérieures. A titre d'exemple on en décrit ci-dessous trois expériences d'utilisation.\n\nUniversité de Coimbra, Portugal, faculté de médecine, travaux de fin d'étude: trois universités belges ont décidé d'utiliser 3CGP comme descripteur des travaux de fin d'étude (TFE) des médecins de famille en fin de formation. Un guide d'indexation (voir www.mgtfe.be) a été réalisé et incorporé au guide de réalisation d'un TFE [29]. Ce guide et la méthode ont été utilisés par Mme Ariana de Oliveira Tavares, étudiante en médecine en dernière année, pour l'analyse qualitative de 169 travaux de fin d'étude réalisés par des étudiants de la faculté de Coimbra, Portugal, entre 2008 et 2017 [30]. Ces travaux ont été étudiés un à un et codés par la CISP-2 et par les Q-codes. On peut suivre à la Figure 2 l'évolution de la représentation de chaque Q-codes au travers du temps. Les étudiants sont bien sûr attirés par les enjeux du médecin (code QD - courbe rouge) qui rassemblent par exemple la communication, la gestion des problèmes de santé ou la prévention. Les questions éthiques sont peu abordées et les questions d'environnement ne le sont pas du tout. Par contre on voit que les questions relatives aux patients (code QP - courbe bleue)) soit la sécurité, l'accessibilité, les perspectives de vie, etc. attirent de plus en plus les étudiants traduisant peut-être une évolution dans la formation.\nÉvolution temporelle de l'application des Q-codes dans les travaux finaux de la 6ème année 370 de médecine 2008-2017\n\nUtilisation de 3CGP lors du Congrès Brésilien de Médecine de Famille en 2017: fin 2017, à l'initiative du comité scientifique, le congrès de la Société Brésilienne de médecine familiale et communautaire [28], qui s'est tenu à Curitiba le 7 décembre 2017, a fourni 1746 résumés de contribution encodés par les participants au moment de la soumission en ligne de leur résumé. Les rubriques de 3CGP étaient présentées comme les mots clefs obligatoires. Les Figure 3, Figure 4 montrent les résultats globaux du codage par les déposants. Du point de vue clinique, l'intérêt des participants pour les questions psychologiques (CISP-2 chapitre P) et sociale (CISP-2 chapitre Z), pour la grossesse et la planification familiale (CISP-2 chapitre W) est très tranché. L'importance du chapitre s'explique par de nombreuses communications sur des épisodes préventifs. La distribution constatée est très différente de la distribution habituellement relevée en consultation où les problèmes respiratoires, cardiaques et digestifs sont bien plus nombreux et les problèmes sociaux ne sont quasiment pas relevés. L'importance du chapitre T (nutrition) s'explique par les nombreuses communications consacrées au diabète. On note (Figure 4) que sur les 3.424 Q-codes attribués (soit entre deux et trois par résumé), 931 contributions ont portés sur les enjeux du médecin (QD), 624 sur les catégories de patients (QC), 352 sur les enjeux du patient (QP), 458 sur la recherche (QR), 544 sur l'enseignement (QT). Le code QO utilisés 44 fois indiquent que le déposant n'a pas trouvé le code correspondant à son thème. Une étude minutieuse a permis de réattribuer chaque thème. Ce qui est le plus frappant, ce sont le peu de codes concernant l'éthique (QE) et environnement (QH). Ce phénomène se retrouve dans tous les congrès analysés à ce jour et mériterait une investigation complémentaire.\nDistribution de 755 codes CISP-2 sur 1746 abstracts acceptés (384 communications orales et 374 1362 posters) SBMFC-Curitiba-2017\nUtilisation des Q-codes comme système d'indexation du Congres SBMFC de Curutiba, 376 Brésil, Novembre 2017\n\nAnalyse des thèmes contextuels abordés par le groupe WONCA Vasco de Gama, congrès 2018, Porto: lors du congrès du groupe WONCA Vasco De Gama 2018 à Porto, Portugal, les jeunes médecins européens ont échangé 97 communications (y compris les key notes) codées par un seul observateur (Figure 5). Malgré le petit nombre, en comparaison des 1746 communications auto-codées des médecins brésiliens, on retrouve une distribution similaire des concepts identifiés par les Q-codes version 2.5 et ce malgré la différence de méthodologie de codage [31]. Cette fois-ci il n'y a aucune contribution sur santé et environnement (QH). Sur les 97 communications 7 touchaient à l'éthique avec 1,8% des codes attribués. Il y a 380 codages de caractéristiques contextuelles par 119 Q-codes différents. Les enjeux du médecin (QD) dont la continuité et la globalité représentent 92 codes (24,2%). Les enjeux du patient (QP) comme l'accessibilité, la participation, la sécurité ; 39 codes (10,3%). La structure de la pratique (QS) ; 80 codes (21,1%). On peut souligner que quatre communications sont codées sous QR1 Philosophie des sciences. Les auteurs posent des questions fondamentales sur le positionnement du médecin face à des enjeux idéologiques et politiques et proposent une approche critique face aux défis humains. Le Q-codes QO pour “autre” a cette fois ramené une manne intéressante puisque plusieurs concepts discutés non présents dans la version actuelle ont été retenus pour de nouvelles entrées éventuelles dans la version 2.6 des Q-codes comme; activité physique du patient, test au point de soin, médecine communautaire, nutritionniste, dentiste et orthophoniste.\nThèmes contextuels abordés par les jeunes médecins européens, VDGM Porto, Février 2018\n\nIndexation de la littérature grise: en Uruguay Miguel Pizanelli a créé le projet Not@sLoc@s (notes folles en français, madnotes en anglais) dont la moto est Donnons de la couleur à la littérature grise. Il s'agit d'un blog Internet où sont rassemblés un ensemble de rapports, travaux d'étudiants, travaux de recherches réalisés pendant la formation des externes et internes de médecine à la faculté de médecine de la république (UDELAR), Montevideo, Uruguay (https://notaslocasmadnotes.wordpress.com/). Il s'agit de littérature grise, soit de travaux non officiellement publiés dont les idées sont intéressantes où qui se réfèrent à de la connaissance contrôlée (au sens de la médecine factuelle (EBM) du terme). Not@sLoc@s est une plate-forme locale conçue tant pour garder trace que soutenir l'échange et la collaboration. Le groupe a un compte Twitter @RedMadNotes. La base de données contient toutes les informations concernant un domaine exploré par les étudiants ainsi que les réactions et commentaires. Le travail est classé avec les Q-codes version 2.5 et la CISP-2. Une fonction de recherche permet à un utilisateur de retrouver les articles codés de la même façon.", "Bien que les Q-codes ne soient pas exclusivement médicaux, mais aussi managériaux, ils représentent une forme de vocabulaire médical contrôlé, polyvalent, sujet à d'autres ajouts. Les Q-codes sont une liste d'autorité, comprenant une série complète de concepts mutuellement exclusifs et hiérarchisés. Nous avons assemblé des concepts en suivant les directives de Cimino [32]. Soit; non redondants, partageables, polyvalents, de haute qualité, dans une organisation mono-hiérarchique, identifiés par un ensemble de définitions et liés à des terminologies existantes. Cet ensemble permet de montrer les connaissances exprimées par les médecins généralistes de plusieurs pays et leurs contributions à la connaissance. Il s'agit donc d'un système de gestion des connaissances en médecine de famille. En complétant la classification clinique CISP-2 par une nouvelle référence contextuelle professionnelle, les Q-codes, on propose de combler une lacune et contribuer à harmonisation de l'enseignement du métier. Conçus comme une ontologie légère multilingue adaptée aux nouvelles technologies de l'Internet, au traitement du langage naturel et au Web sémantique, les Q-codes donnent l'occasion de mettre à jour l'extension, la charge de travail et la productivité de la médecine de famille et de contribuer à en faire une discipline professionnelle digne de respect. Il est important de préciser que les concepts rassemblés dans les Q-codes n'y trouvent leur place que parce qu'ils ont été identifiés dans des résumés de communications analysés. Ceci explique la pauvreté relative des domaines QE (éthique) et QH (environnement) de la classification dans son état actuel. Il ne s'agit donc nullement d'une vue d'experts qui décident d'un contenu mais d'un système de gestion dynamique de la connaissance qui part de la base (bottom-up). L'outil proposé peut faciliter les réseaux d'échange de connaissance, l'organisation de congrès, l'enseignement de la médecine de famille, la gestion bibliographie et montrer l'évolution des pratiques. Le système proposé a été rapidement adopté et traduit par de nombreux collègues de la par le monde. Ceci peut contribuer à lui donner une validité apparente et une généralisibilité, puisqu'il semble subjectivement considéré comme couvrant le concept qu'il est censé mesurer. Mais sa reproductibilité et les variations inter-observatrices n'ont pas pu être testées. Se pose aussi, comme pour toute classification, la question de la maintenance à long terme. Ceci dépendra de l'acceptation par la communauté des médecins de famille du fait qu'il est temps d'identifier et gérer la connaissance qui lui est spécifique d'une façon standardisée et reproductible.", "Le métier de médecin de famille relie la médecine technologique aux humains et les protège des errements de la science grâce à l'expertise du domaine, l'information et la communication. La gestion de l'information, cœur de l'activité, devrait contribuer au développement du métier et à la formation des professionnels des soins primaires.\n Etat des connaissances actuelles sur le sujet La formation des acteurs de soins primaires n'est pas standardisée;\nLes tables des matières des Textbook de médecine générale sont hétéroclites;\nLe contenu conceptuel des communications des médecins généralistes lors de congrès est peu identifié.\nLa formation des acteurs de soins primaires n'est pas standardisée;\nLes tables des matières des Textbook de médecine générale sont hétéroclites;\nLe contenu conceptuel des communications des médecins généralistes lors de congrès est peu identifié.\n Contribution de notre étude à la connaissance Une analyse qualitative du contenu de congrès de médecine générale permet d'identifier les thèmes discutés et de les organiser dans une nouvelle classification dénommée Q-codes;\nLes Q-codes et la CISP-2 sont proposés en ligne en plusieurs langues sur http://www.hetop.eu/3CGP/Fr;\nCet ensemble de classifications permet l'analyse de l'activité des médecins généralistes et la gestion de la connaissance en soins primaires.\nUne analyse qualitative du contenu de congrès de médecine générale permet d'identifier les thèmes discutés et de les organiser dans une nouvelle classification dénommée Q-codes;\nLes Q-codes et la CISP-2 sont proposés en ligne en plusieurs langues sur http://www.hetop.eu/3CGP/Fr;\nCet ensemble de classifications permet l'analyse de l'activité des médecins généralistes et la gestion de la connaissance en soins primaires.", "La formation des acteurs de soins primaires n'est pas standardisée;\nLes tables des matières des Textbook de médecine générale sont hétéroclites;\nLe contenu conceptuel des communications des médecins généralistes lors de congrès est peu identifié.", "Une analyse qualitative du contenu de congrès de médecine générale permet d'identifier les thèmes discutés et de les organiser dans une nouvelle classification dénommée Q-codes;\nLes Q-codes et la CISP-2 sont proposés en ligne en plusieurs langues sur http://www.hetop.eu/3CGP/Fr;\nCet ensemble de classifications permet l'analyse de l'activité des médecins généralistes et la gestion de la connaissance en soins primaires.", "Les auteurs ne déclarent aucun conflit d'intérêts." ]
[ "intro", "methods", "results", "discussion", "conclusion", null, null, "COI-statement" ]
[ "Médecine de famille", "soins primaires", "classification", "base de données terminologiques", "Family medicine", "primary care", "classification", "terminology database" ]
Introduction: Le contenu de l'enseignement de la médecine générale n'est pas standardisé. Malgré des définitions très élaborées de la médecine de famille, [1] la manière dont la profession est structurée varie énormément entre les recommandations [2, 3] ou les traités [4-8]. Ceci est particulièrement vrai pour les caractéristiques managériales et contextuelles. Ces manuels offrent les vues des personnalités de haut niveau de la profession agissant comme experts. Dans la plupart des facultés francophones, ce sont des médecins spécialistes qui déterminent le programme de formation en médecine et en médecine générale. Peu d'universités appliquent la méthode basée sur les problèmes dont les enseignants sont des médecins généralistes pédagogues [9, 10]. Le médecin de famille est formé dans les universités par d'excellents spécialistes, le plus souvent très orientés vers les maladies rares. Dans son métier pourtant, le médecin de famille voit les maladies les plus fréquentes et est l'interlocuteur quotidien de l'homme souffrant et vieillissant, aux maladies intriquées. Rappelons qu'en termes de problèmes de santé, le Médecin de famille résout à son niveau la plupart des problèmes de santé qui lui sont présentés [11]. Mais à la longue, le temps exprimé par la continuité est un des éléments centraux de la médecine de famille [12], le médecin de famille devient aussi un spécialiste de patients porteurs de maladie rare [13]. Au fil du temps le médecin de famille rencontre les problèmes de santé les plus fréquents. Mais au fur et à mesure des années il aura à accompagner de plus en plus de patients porteurs de maladies rares ou peu fréquentes différente [14]. La probabilité qu'il a de rencontrer telle ou telle maladie peu fréquentes est chaque année minime mais elle est cumulative au cours des ans. Quand il la rencontrera, il n'aura plus que de lointains souvenirs de son enseignement. Il lui faudra alors trouver l'information lui permettant d'accompagner le patient sur la durée. Il lui faudra être plus discriminant et plus rapide que ce dernier dans sa quête d'information [15]. Trouver l'information au point de soin n'est pas une matière vraiment enseignée. Dans une enquête récente Brassil et al. [16] montrent que la plupart des médecins interrogés n'ont aucune formation formelle en matière de recherche dans les bases de données, ni ne sont au courant de l'existence de nombreuses ressources numériques. Notre propos est d'identifier, en interrogeant les acteurs de terrain, les domaines de compétence qui les préoccupent et de leur fournir des instruments documentaires leur permettant de répondre à leurs besoins. Méthodes: Une grille de la connaissance clinique spécifique à la médecine de famille est déjà disponible dans la classification internationale des soins primaires, deuxième édition (CISP-2) celle-ci, alignée sur la classification internationale des maladies dixième révision (CIM-10) est un standard pour le recueil épidémiologique en Soins Primaires [11, 17, 18]. Il s'agit là d'un outil de gestion du champ de connaissance clinique, soit de la liste des problèmes de santé les plus fréquents ou les plus importants ainsi que des procédures mis en œuvre au premier niveau de soin. Les médecins de famille ont développé un autre savoir, non clinique celui-là, que nous appelons contextuel, et qui leur permet de traiter de l'organisation des soins, des relations aux patients, de la recherche ou de l'éthique. Que ce soit au niveau régional, national ou international, les médecins de famille sont aussi des grands producteurs de communications lors de congres. Rien que dans les congrès annuels organisés par l'Organisation mondiale des médecins de famille (WONCA) sur chaque continent, on compte déjà plusieurs milliers d'abstracts. En analysant ces communications, on a pu faire remonter du terrain la connaissance nécessaire à l'exercice du métier et établir une grille du savoir contextuel nécessaire à son exercice. Une étude qualitative, conduite sur plus de deux milles résumés de communications de médecins généralistes lors de congrès, a permis la mise en évidence de champs de savoir spécifique à la médecine de famille. Une liste de 187 concepts a été élaborée dans une classification hiérarchique [19, 20]. Ces concepts sont organisés en 8 domaines qui traitent de la gestion de la connaissance et ce y compris l'enseignement, des questions d'organisations, d'éthique, d'environnement, de la recherche ou des relations aux patients. Un domaine supplémentaire (QO autre) est réservé aux codages de situations imprécises ou aux concepts qui apparaissent de novo et devraient être inclus dans une version ultérieure. L'ensemble est proposé sous le nom de Q-Codes version 2.5. La lettre Q a été choisie car elle était disponible dans la CISP-2. Les deux classifications, l'une clinique, la CISP-2, l'autre contextuelle, les Q-codes, sont éditées conjointement sous le sigle 3CGP pour Core Content Classification of General Practice sur le serveur multilingue multi-terminologique www.hetop.eu/3CGP/fr. Résultats: Construction d'une base de données des thèmes discutés par les acteurs de terrain: on montre ici les domaines d'application et les résultats déjà acquis par l'indexation de travaux de médecins de famille au moyen de 3CGP. 3CGP sur le serveur terminologique HeTOP: le serveur HeTOP édité par le département d'information et d'informatique médicale (D2IM) de l'université de Rouen, France [21] édite 70 terminologies dont la CISP-2 et les Q-codes. Le projet est détaillé sur http://3cgp.docpatient.net/. Les rubriques de la CISP-2 y sont disponibles en 22 langues et les Q-codes en 10 langues. Outre le libellé, chacun des 187 Q-codes comprend une définition, une description de contenu conceptuel, une sélection d'articles en accès libre explicitant le concept, un lien vers la base de données sémantique Babelnet.org et un lien à la base Dbpedia, mère de Wikipédia. En outre, les Q-codes sont mis en relation avec les Medical Subject Headings (MeSH) de la National Library of Medicine. La question des alignements aux MeSH les plus appropriés a fait l'objet d'une étude approfondie décrite par ailleurs [19]. Ces alignements permettent un lien automatisé à la banque de données bibliographique de langue française LISSA (un million d'entrées) [22] et à PubMed. Les Q-codes et la CISP-2, préparés pour le Web sémantique, sont exportables en tableur Excel et dans le Web Ontology Language (OWL) ce qui permet leur usage dans l'internet sémantique et en traitement automatique des langues (TAL) comme dans l'extracteur automatique de concepts à partir de textes ECTMV3 [23]. La CISP-2 et la base de Q-codes version 2.5 sur le serveur HeTOP: chacune des 784 rubriques de la CISP-2 et les 187 Q-codes disposent d'une adresse internet spécifique appelée identifiant uniforme de ressource, (URI - Uniforme Resource Identifier) qui permet la gestion informatisée de l'information. Dans la liste des domaines présentée à la Figure 1 les entrées sont interactives et permettent au lecteur d'explorer les possibilités de la base de données. Il y a un URI par item et par langue choisie. Des médecins généralistes de nombreux pays se sont montrés intéressés et volontaires pour traduire et les Q-codes sont disponibles en français, anglais, espagnol, portugais, néerlandais, turc, kartuli (Géorgie), ukrainien, coréen et vietnamien. D'autres traductions sont en cours. Les 17 chapitres de la CISP-2, la CISP-2 Procédures et les 8 domaines des Q-Codes version 2.5 en français Publication de terminologies multilingues de la médecine de famille: une publication imprimée a été réalisée reprenant exclusivement les Q-codes et leur définitions (appelées aussi note de contenu) ainsi qu'un historique et un mode d'emploi. Ces ouvrages constituent un dictionnaire des aspects contextuels de la médecine de famille et des soins primaires. Ils sont disponibles en français, anglais, néerlandais, espagnol, portugais et vietnamien sur le site http://3cgp.docpatient.net/the-book et sous forme de livres [24]. Utilisation des hyperliens dans des textes d'enseignement: à titre d'exemple d'utilisation, on lie ici les concepts d'un texte concernant la médecine générale. Il suffira au lecteur désireux d'approfondir la signification des concepts soulignés de cliquer sur le lien: « On sait que la médecine de famille et les soins de santé primaires (SSP) partagent les concepts de continuité, globalité et accessibilité des soins. Toutefois, on a montré que les SSP concernent la structure des pratiques tandis que la médecine de famille concerne la gestion d'un métier bien qu'ils prônent tous deux la prise de décision partagée dans la relation médecin patient » [25]. Support de recherche bibliographique: le lecteur trouvera sur www.hetop.eu/3CGP/fr de quoi alimenter sa connaissance en même temps qu'un accès à un filtre bibliographique sur l'item choisi pour tous les Q-codes et pour 20% des codes CISP-2. La façon d'utiliser ce support pour la recherche bibliographique est décrite par ailleurs [26]. A titre d'exemple on peut consulter le sous-domaine QD4 Prévention. On aura ainsi accès aux quatre formes de prévention, à leur illustration et à un filtre spécifique pour chaque item présenté. La question difficile des descripteurs MeSH concernant la prévention secondaire et la prévention quaternaire (QD44) a été traitée par ailleurs en détail [19]. Le filtre sur la Prévention quaternaire a été créé dans HeTOP en texte libre (TW"Text word" dans PubMed) en raison de l'absence de descripteur MeSH pour ce concept. Le filtre sur QD44 génère la stratégie de recherche suivante; ("no harm"[TW] OR “quaternary prevention”[TW] OR “prevention of medicine”[TW]) Cette stratégie de recherche dégage 1671 citations sur PubMed en date du 14 mars 2018. Si on croise cette stratégie avec celle dégagée par le Q-code QS41 médecine de famille, on réalise un deuxième filtre, spécifique à la médecine de famille qui délivre 58 citations. Si on croise avec le Q-codes QS1 Soins de Santé Primaires on obtient 29 citations. Ce croisement de filtres est aisé à réaliser en utilisant le module My NCBI qui permet à l'utilisateur d'enregistrer ses propres filtres [27, 28]. Indexation de travaux en médecine de famille: les Q-codes ont été élaborés à la suite de l'analyse qualitative de communications de différents congrès de médecine de famille. Ils ont été utilisés en même temps que la CISP-2 pour indexer 2.300 résumés. Dans leur état actuel, les Q-codes ne représentent que les concepts inclus dans les contenus déjà analysés. On s'attend naturellement à ce que la liste des Q-codes s'allonge avec les nouvelles contributions apportées par les médecins de famille lors de congres. Il est étonnant que, dans les congrès analysés pour la mise au point de l'outil, on ait retrouvé que peu de communications traitant de l'éthique (Q-code QE) ou de questions d'environnement (Q-code QH). Cette tendance se confirme lors des utilisations des Q-codes en application ultérieures. A titre d'exemple on en décrit ci-dessous trois expériences d'utilisation. Université de Coimbra, Portugal, faculté de médecine, travaux de fin d'étude: trois universités belges ont décidé d'utiliser 3CGP comme descripteur des travaux de fin d'étude (TFE) des médecins de famille en fin de formation. Un guide d'indexation (voir www.mgtfe.be) a été réalisé et incorporé au guide de réalisation d'un TFE [29]. Ce guide et la méthode ont été utilisés par Mme Ariana de Oliveira Tavares, étudiante en médecine en dernière année, pour l'analyse qualitative de 169 travaux de fin d'étude réalisés par des étudiants de la faculté de Coimbra, Portugal, entre 2008 et 2017 [30]. Ces travaux ont été étudiés un à un et codés par la CISP-2 et par les Q-codes. On peut suivre à la Figure 2 l'évolution de la représentation de chaque Q-codes au travers du temps. Les étudiants sont bien sûr attirés par les enjeux du médecin (code QD - courbe rouge) qui rassemblent par exemple la communication, la gestion des problèmes de santé ou la prévention. Les questions éthiques sont peu abordées et les questions d'environnement ne le sont pas du tout. Par contre on voit que les questions relatives aux patients (code QP - courbe bleue)) soit la sécurité, l'accessibilité, les perspectives de vie, etc. attirent de plus en plus les étudiants traduisant peut-être une évolution dans la formation. Évolution temporelle de l'application des Q-codes dans les travaux finaux de la 6ème année 370 de médecine 2008-2017 Utilisation de 3CGP lors du Congrès Brésilien de Médecine de Famille en 2017: fin 2017, à l'initiative du comité scientifique, le congrès de la Société Brésilienne de médecine familiale et communautaire [28], qui s'est tenu à Curitiba le 7 décembre 2017, a fourni 1746 résumés de contribution encodés par les participants au moment de la soumission en ligne de leur résumé. Les rubriques de 3CGP étaient présentées comme les mots clefs obligatoires. Les Figure 3, Figure 4 montrent les résultats globaux du codage par les déposants. Du point de vue clinique, l'intérêt des participants pour les questions psychologiques (CISP-2 chapitre P) et sociale (CISP-2 chapitre Z), pour la grossesse et la planification familiale (CISP-2 chapitre W) est très tranché. L'importance du chapitre s'explique par de nombreuses communications sur des épisodes préventifs. La distribution constatée est très différente de la distribution habituellement relevée en consultation où les problèmes respiratoires, cardiaques et digestifs sont bien plus nombreux et les problèmes sociaux ne sont quasiment pas relevés. L'importance du chapitre T (nutrition) s'explique par les nombreuses communications consacrées au diabète. On note (Figure 4) que sur les 3.424 Q-codes attribués (soit entre deux et trois par résumé), 931 contributions ont portés sur les enjeux du médecin (QD), 624 sur les catégories de patients (QC), 352 sur les enjeux du patient (QP), 458 sur la recherche (QR), 544 sur l'enseignement (QT). Le code QO utilisés 44 fois indiquent que le déposant n'a pas trouvé le code correspondant à son thème. Une étude minutieuse a permis de réattribuer chaque thème. Ce qui est le plus frappant, ce sont le peu de codes concernant l'éthique (QE) et environnement (QH). Ce phénomène se retrouve dans tous les congrès analysés à ce jour et mériterait une investigation complémentaire. Distribution de 755 codes CISP-2 sur 1746 abstracts acceptés (384 communications orales et 374 1362 posters) SBMFC-Curitiba-2017 Utilisation des Q-codes comme système d'indexation du Congres SBMFC de Curutiba, 376 Brésil, Novembre 2017 Analyse des thèmes contextuels abordés par le groupe WONCA Vasco de Gama, congrès 2018, Porto: lors du congrès du groupe WONCA Vasco De Gama 2018 à Porto, Portugal, les jeunes médecins européens ont échangé 97 communications (y compris les key notes) codées par un seul observateur (Figure 5). Malgré le petit nombre, en comparaison des 1746 communications auto-codées des médecins brésiliens, on retrouve une distribution similaire des concepts identifiés par les Q-codes version 2.5 et ce malgré la différence de méthodologie de codage [31]. Cette fois-ci il n'y a aucune contribution sur santé et environnement (QH). Sur les 97 communications 7 touchaient à l'éthique avec 1,8% des codes attribués. Il y a 380 codages de caractéristiques contextuelles par 119 Q-codes différents. Les enjeux du médecin (QD) dont la continuité et la globalité représentent 92 codes (24,2%). Les enjeux du patient (QP) comme l'accessibilité, la participation, la sécurité ; 39 codes (10,3%). La structure de la pratique (QS) ; 80 codes (21,1%). On peut souligner que quatre communications sont codées sous QR1 Philosophie des sciences. Les auteurs posent des questions fondamentales sur le positionnement du médecin face à des enjeux idéologiques et politiques et proposent une approche critique face aux défis humains. Le Q-codes QO pour “autre” a cette fois ramené une manne intéressante puisque plusieurs concepts discutés non présents dans la version actuelle ont été retenus pour de nouvelles entrées éventuelles dans la version 2.6 des Q-codes comme; activité physique du patient, test au point de soin, médecine communautaire, nutritionniste, dentiste et orthophoniste. Thèmes contextuels abordés par les jeunes médecins européens, VDGM Porto, Février 2018 Indexation de la littérature grise: en Uruguay Miguel Pizanelli a créé le projet Not@sLoc@s (notes folles en français, madnotes en anglais) dont la moto est Donnons de la couleur à la littérature grise. Il s'agit d'un blog Internet où sont rassemblés un ensemble de rapports, travaux d'étudiants, travaux de recherches réalisés pendant la formation des externes et internes de médecine à la faculté de médecine de la république (UDELAR), Montevideo, Uruguay (https://notaslocasmadnotes.wordpress.com/). Il s'agit de littérature grise, soit de travaux non officiellement publiés dont les idées sont intéressantes où qui se réfèrent à de la connaissance contrôlée (au sens de la médecine factuelle (EBM) du terme). Not@sLoc@s est une plate-forme locale conçue tant pour garder trace que soutenir l'échange et la collaboration. Le groupe a un compte Twitter @RedMadNotes. La base de données contient toutes les informations concernant un domaine exploré par les étudiants ainsi que les réactions et commentaires. Le travail est classé avec les Q-codes version 2.5 et la CISP-2. Une fonction de recherche permet à un utilisateur de retrouver les articles codés de la même façon. Discussion: Bien que les Q-codes ne soient pas exclusivement médicaux, mais aussi managériaux, ils représentent une forme de vocabulaire médical contrôlé, polyvalent, sujet à d'autres ajouts. Les Q-codes sont une liste d'autorité, comprenant une série complète de concepts mutuellement exclusifs et hiérarchisés. Nous avons assemblé des concepts en suivant les directives de Cimino [32]. Soit; non redondants, partageables, polyvalents, de haute qualité, dans une organisation mono-hiérarchique, identifiés par un ensemble de définitions et liés à des terminologies existantes. Cet ensemble permet de montrer les connaissances exprimées par les médecins généralistes de plusieurs pays et leurs contributions à la connaissance. Il s'agit donc d'un système de gestion des connaissances en médecine de famille. En complétant la classification clinique CISP-2 par une nouvelle référence contextuelle professionnelle, les Q-codes, on propose de combler une lacune et contribuer à harmonisation de l'enseignement du métier. Conçus comme une ontologie légère multilingue adaptée aux nouvelles technologies de l'Internet, au traitement du langage naturel et au Web sémantique, les Q-codes donnent l'occasion de mettre à jour l'extension, la charge de travail et la productivité de la médecine de famille et de contribuer à en faire une discipline professionnelle digne de respect. Il est important de préciser que les concepts rassemblés dans les Q-codes n'y trouvent leur place que parce qu'ils ont été identifiés dans des résumés de communications analysés. Ceci explique la pauvreté relative des domaines QE (éthique) et QH (environnement) de la classification dans son état actuel. Il ne s'agit donc nullement d'une vue d'experts qui décident d'un contenu mais d'un système de gestion dynamique de la connaissance qui part de la base (bottom-up). L'outil proposé peut faciliter les réseaux d'échange de connaissance, l'organisation de congrès, l'enseignement de la médecine de famille, la gestion bibliographie et montrer l'évolution des pratiques. Le système proposé a été rapidement adopté et traduit par de nombreux collègues de la par le monde. Ceci peut contribuer à lui donner une validité apparente et une généralisibilité, puisqu'il semble subjectivement considéré comme couvrant le concept qu'il est censé mesurer. Mais sa reproductibilité et les variations inter-observatrices n'ont pas pu être testées. Se pose aussi, comme pour toute classification, la question de la maintenance à long terme. Ceci dépendra de l'acceptation par la communauté des médecins de famille du fait qu'il est temps d'identifier et gérer la connaissance qui lui est spécifique d'une façon standardisée et reproductible. Conclusion: Le métier de médecin de famille relie la médecine technologique aux humains et les protège des errements de la science grâce à l'expertise du domaine, l'information et la communication. La gestion de l'information, cœur de l'activité, devrait contribuer au développement du métier et à la formation des professionnels des soins primaires. Etat des connaissances actuelles sur le sujet La formation des acteurs de soins primaires n'est pas standardisée; Les tables des matières des Textbook de médecine générale sont hétéroclites; Le contenu conceptuel des communications des médecins généralistes lors de congrès est peu identifié. La formation des acteurs de soins primaires n'est pas standardisée; Les tables des matières des Textbook de médecine générale sont hétéroclites; Le contenu conceptuel des communications des médecins généralistes lors de congrès est peu identifié. Contribution de notre étude à la connaissance Une analyse qualitative du contenu de congrès de médecine générale permet d'identifier les thèmes discutés et de les organiser dans une nouvelle classification dénommée Q-codes; Les Q-codes et la CISP-2 sont proposés en ligne en plusieurs langues sur http://www.hetop.eu/3CGP/Fr; Cet ensemble de classifications permet l'analyse de l'activité des médecins généralistes et la gestion de la connaissance en soins primaires. Une analyse qualitative du contenu de congrès de médecine générale permet d'identifier les thèmes discutés et de les organiser dans une nouvelle classification dénommée Q-codes; Les Q-codes et la CISP-2 sont proposés en ligne en plusieurs langues sur http://www.hetop.eu/3CGP/Fr; Cet ensemble de classifications permet l'analyse de l'activité des médecins généralistes et la gestion de la connaissance en soins primaires. Etat des connaissances actuelles sur le sujet: La formation des acteurs de soins primaires n'est pas standardisée; Les tables des matières des Textbook de médecine générale sont hétéroclites; Le contenu conceptuel des communications des médecins généralistes lors de congrès est peu identifié. Contribution de notre étude à la connaissance: Une analyse qualitative du contenu de congrès de médecine générale permet d'identifier les thèmes discutés et de les organiser dans une nouvelle classification dénommée Q-codes; Les Q-codes et la CISP-2 sont proposés en ligne en plusieurs langues sur http://www.hetop.eu/3CGP/Fr; Cet ensemble de classifications permet l'analyse de l'activité des médecins généralistes et la gestion de la connaissance en soins primaires. Conflits d’intérêts: Les auteurs ne déclarent aucun conflit d'intérêts.
Background: The International Classification of Primary Care, Second version (ICPC-2) aligned with the 10th Revision of the International Classification of Disease (ICD-10) is a standard for primary care epidemiology compendium. ICPC-2 has been also intended to identify the clinical topics in family medicine. Contextual field-specific knowledge in family medicine and primary care such as health structures, management, categories of patients, research methods, ethical or environmental features are not standardized and reflect, more often, the views of experts. Methods: A qualitative research method, applied to the analysis of several Family Medicine congresses, has helped identify, in addition to clinical items, a spectrum of contextual concepts addressed by family doctors during their exchanges at the congresses. Assembled in a hierarchical manner, these concepts were given expression, together with ICPC-2, under the name of Q-codes Version 2.5, in the multilingual multi-terminology semantic server of the Department of Information and medical informatics (D2Im) at the University of Rouen, France. The two classifications are edited under the acronym 3 CGP for Core Content classification of General Practice. This free access server allows you to consult the ICPC-2 in 22 languages and the Q-codes in ten languages. Results: The result of the joint use of these two classifications, as descriptors in congress to identify the concepts in texts or index the gray literature for family medicine and primary care is presented here in its various pilot uses. The validity and generalizability of 3CGP appears to be good in the light of the translations already carried out by colleagues around the world and of the applicability of the method in the two sides of the Atlantic. However the reproducibility and the inter-coder variations still remain to be tested for Q-codes. Maintenance remains an issue. Conclusions: This method highlights the conceptual extension, the complexity and the dynamics of the role of general practitioner and family doctor as well as of primary care physician.
Introduction: Le contenu de l'enseignement de la médecine générale n'est pas standardisé. Malgré des définitions très élaborées de la médecine de famille, [1] la manière dont la profession est structurée varie énormément entre les recommandations [2, 3] ou les traités [4-8]. Ceci est particulièrement vrai pour les caractéristiques managériales et contextuelles. Ces manuels offrent les vues des personnalités de haut niveau de la profession agissant comme experts. Dans la plupart des facultés francophones, ce sont des médecins spécialistes qui déterminent le programme de formation en médecine et en médecine générale. Peu d'universités appliquent la méthode basée sur les problèmes dont les enseignants sont des médecins généralistes pédagogues [9, 10]. Le médecin de famille est formé dans les universités par d'excellents spécialistes, le plus souvent très orientés vers les maladies rares. Dans son métier pourtant, le médecin de famille voit les maladies les plus fréquentes et est l'interlocuteur quotidien de l'homme souffrant et vieillissant, aux maladies intriquées. Rappelons qu'en termes de problèmes de santé, le Médecin de famille résout à son niveau la plupart des problèmes de santé qui lui sont présentés [11]. Mais à la longue, le temps exprimé par la continuité est un des éléments centraux de la médecine de famille [12], le médecin de famille devient aussi un spécialiste de patients porteurs de maladie rare [13]. Au fil du temps le médecin de famille rencontre les problèmes de santé les plus fréquents. Mais au fur et à mesure des années il aura à accompagner de plus en plus de patients porteurs de maladies rares ou peu fréquentes différente [14]. La probabilité qu'il a de rencontrer telle ou telle maladie peu fréquentes est chaque année minime mais elle est cumulative au cours des ans. Quand il la rencontrera, il n'aura plus que de lointains souvenirs de son enseignement. Il lui faudra alors trouver l'information lui permettant d'accompagner le patient sur la durée. Il lui faudra être plus discriminant et plus rapide que ce dernier dans sa quête d'information [15]. Trouver l'information au point de soin n'est pas une matière vraiment enseignée. Dans une enquête récente Brassil et al. [16] montrent que la plupart des médecins interrogés n'ont aucune formation formelle en matière de recherche dans les bases de données, ni ne sont au courant de l'existence de nombreuses ressources numériques. Notre propos est d'identifier, en interrogeant les acteurs de terrain, les domaines de compétence qui les préoccupent et de leur fournir des instruments documentaires leur permettant de répondre à leurs besoins. Conclusion: Le métier de médecin de famille relie la médecine technologique aux humains et les protège des errements de la science grâce à l'expertise du domaine, l'information et la communication. La gestion de l'information, cœur de l'activité, devrait contribuer au développement du métier et à la formation des professionnels des soins primaires. Etat des connaissances actuelles sur le sujet La formation des acteurs de soins primaires n'est pas standardisée; Les tables des matières des Textbook de médecine générale sont hétéroclites; Le contenu conceptuel des communications des médecins généralistes lors de congrès est peu identifié. La formation des acteurs de soins primaires n'est pas standardisée; Les tables des matières des Textbook de médecine générale sont hétéroclites; Le contenu conceptuel des communications des médecins généralistes lors de congrès est peu identifié. Contribution de notre étude à la connaissance Une analyse qualitative du contenu de congrès de médecine générale permet d'identifier les thèmes discutés et de les organiser dans une nouvelle classification dénommée Q-codes; Les Q-codes et la CISP-2 sont proposés en ligne en plusieurs langues sur http://www.hetop.eu/3CGP/Fr; Cet ensemble de classifications permet l'analyse de l'activité des médecins généralistes et la gestion de la connaissance en soins primaires. Une analyse qualitative du contenu de congrès de médecine générale permet d'identifier les thèmes discutés et de les organiser dans une nouvelle classification dénommée Q-codes; Les Q-codes et la CISP-2 sont proposés en ligne en plusieurs langues sur http://www.hetop.eu/3CGP/Fr; Cet ensemble de classifications permet l'analyse de l'activité des médecins généralistes et la gestion de la connaissance en soins primaires.
Background: The International Classification of Primary Care, Second version (ICPC-2) aligned with the 10th Revision of the International Classification of Disease (ICD-10) is a standard for primary care epidemiology compendium. ICPC-2 has been also intended to identify the clinical topics in family medicine. Contextual field-specific knowledge in family medicine and primary care such as health structures, management, categories of patients, research methods, ethical or environmental features are not standardized and reflect, more often, the views of experts. Methods: A qualitative research method, applied to the analysis of several Family Medicine congresses, has helped identify, in addition to clinical items, a spectrum of contextual concepts addressed by family doctors during their exchanges at the congresses. Assembled in a hierarchical manner, these concepts were given expression, together with ICPC-2, under the name of Q-codes Version 2.5, in the multilingual multi-terminology semantic server of the Department of Information and medical informatics (D2Im) at the University of Rouen, France. The two classifications are edited under the acronym 3 CGP for Core Content classification of General Practice. This free access server allows you to consult the ICPC-2 in 22 languages and the Q-codes in ten languages. Results: The result of the joint use of these two classifications, as descriptors in congress to identify the concepts in texts or index the gray literature for family medicine and primary care is presented here in its various pilot uses. The validity and generalizability of 3CGP appears to be good in the light of the translations already carried out by colleagues around the world and of the applicability of the method in the two sides of the Atlantic. However the reproducibility and the inter-coder variations still remain to be tested for Q-codes. Maintenance remains an issue. Conclusions: This method highlights the conceptual extension, the complexity and the dynamics of the role of general practitioner and family doctor as well as of primary care physician.
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[ "de", "la", "les", "des", "le", "en", "codes", "une", "de la", "par" ]
[ "médecine générale peu", "des médecins spécialistes", "les médecins généralistes", "en médecine générale", "de médecins généralistes" ]
[CONTENT] Médecine de famille | soins primaires | classification | base de données terminologiques | Family medicine | primary care | classification | terminology database [SUMMARY]
[CONTENT] Médecine de famille | soins primaires | classification | base de données terminologiques | Family medicine | primary care | classification | terminology database [SUMMARY]
[CONTENT] Médecine de famille | soins primaires | classification | base de données terminologiques | Family medicine | primary care | classification | terminology database [SUMMARY]
[CONTENT] Médecine de famille | soins primaires | classification | base de données terminologiques | Family medicine | primary care | classification | terminology database [SUMMARY]
[CONTENT] Médecine de famille | soins primaires | classification | base de données terminologiques | Family medicine | primary care | classification | terminology database [SUMMARY]
[CONTENT] Médecine de famille | soins primaires | classification | base de données terminologiques | Family medicine | primary care | classification | terminology database [SUMMARY]
[CONTENT] General Practice | General Practitioners | Humans | International Classification of Diseases | Internet | Knowledge Bases | Language | Physician's Role | Physicians, Family | Primary Health Care | Reproducibility of Results | Terminology as Topic [SUMMARY]
[CONTENT] General Practice | General Practitioners | Humans | International Classification of Diseases | Internet | Knowledge Bases | Language | Physician's Role | Physicians, Family | Primary Health Care | Reproducibility of Results | Terminology as Topic [SUMMARY]
[CONTENT] General Practice | General Practitioners | Humans | International Classification of Diseases | Internet | Knowledge Bases | Language | Physician's Role | Physicians, Family | Primary Health Care | Reproducibility of Results | Terminology as Topic [SUMMARY]
[CONTENT] General Practice | General Practitioners | Humans | International Classification of Diseases | Internet | Knowledge Bases | Language | Physician's Role | Physicians, Family | Primary Health Care | Reproducibility of Results | Terminology as Topic [SUMMARY]
[CONTENT] General Practice | General Practitioners | Humans | International Classification of Diseases | Internet | Knowledge Bases | Language | Physician's Role | Physicians, Family | Primary Health Care | Reproducibility of Results | Terminology as Topic [SUMMARY]
[CONTENT] General Practice | General Practitioners | Humans | International Classification of Diseases | Internet | Knowledge Bases | Language | Physician's Role | Physicians, Family | Primary Health Care | Reproducibility of Results | Terminology as Topic [SUMMARY]
[CONTENT] médecine générale peu | des médecins spécialistes | les médecins généralistes | en médecine générale | de médecins généralistes [SUMMARY]
[CONTENT] médecine générale peu | des médecins spécialistes | les médecins généralistes | en médecine générale | de médecins généralistes [SUMMARY]
[CONTENT] médecine générale peu | des médecins spécialistes | les médecins généralistes | en médecine générale | de médecins généralistes [SUMMARY]
[CONTENT] médecine générale peu | des médecins spécialistes | les médecins généralistes | en médecine générale | de médecins généralistes [SUMMARY]
[CONTENT] médecine générale peu | des médecins spécialistes | les médecins généralistes | en médecine générale | de médecins généralistes [SUMMARY]
[CONTENT] médecine générale peu | des médecins spécialistes | les médecins généralistes | en médecine générale | de médecins généralistes [SUMMARY]
[CONTENT] de | la | les | des | le | en | codes | une | de la | par [SUMMARY]
[CONTENT] de | la | les | des | le | en | codes | une | de la | par [SUMMARY]
[CONTENT] de | la | les | des | le | en | codes | une | de la | par [SUMMARY]
[CONTENT] de | la | les | des | le | en | codes | une | de la | par [SUMMARY]
[CONTENT] de | la | les | des | le | en | codes | une | de la | par [SUMMARY]
[CONTENT] de | la | les | des | le | en | codes | une | de la | par [SUMMARY]
[CONTENT] de | la | les | plus | le médecin de famille | le médecin de | le médecin | le | est | des [SUMMARY]
[CONTENT] de | la | des | ou | une | savoir | de la | clinique | de famille | famille [SUMMARY]
[CONTENT] de | la | les | codes | par | des | le | en | un | sur [SUMMARY]
[CONTENT] de | des | la | les | en | analyse | de médecine générale | primaires | soins primaires | soins [SUMMARY]
[CONTENT] de | la | des | les | en | une | le | est | codes | de la [SUMMARY]
[CONTENT] de | la | des | les | en | une | le | est | codes | de la [SUMMARY]
[CONTENT] The International Classification of Primary Care | Second | ICPC-2 | the 10th Revision of the International Classification of Disease ||| ICPC-2 ||| [SUMMARY]
[CONTENT] Family Medicine ||| ICPC-2 | 2.5 | the Department of Information | the University of Rouen | France ||| two | 3 | CGP | General Practice ||| ICPC-2 | 22 | ten [SUMMARY]
[CONTENT] two | congress ||| 3CGP | two | Atlantic ||| ||| [SUMMARY]
[CONTENT] [SUMMARY]
[CONTENT] The International Classification of Primary Care | Second | ICPC-2 | the 10th Revision of the International Classification of Disease ||| ICPC-2 ||| ||| Family Medicine ||| ICPC-2 | 2.5 | the Department of Information | the University of Rouen | France ||| two | 3 | CGP | General Practice ||| ICPC-2 | 22 | ten ||| two | congress ||| 3CGP | two | Atlantic ||| ||| ||| [SUMMARY]
[CONTENT] The International Classification of Primary Care | Second | ICPC-2 | the 10th Revision of the International Classification of Disease ||| ICPC-2 ||| ||| Family Medicine ||| ICPC-2 | 2.5 | the Department of Information | the University of Rouen | France ||| two | 3 | CGP | General Practice ||| ICPC-2 | 22 | ten ||| two | congress ||| 3CGP | two | Atlantic ||| ||| ||| [SUMMARY]
A novel nephrometry scoring system for predicting peri-operative outcomes of retroperitoneal laparoscopic partial nephrectomy.
32142494
Although the impact of tumor complexity on peri-operative outcomes has been well established using several nephrometry scoring systems, the impact of adherent perirenal fat remains poorly defined. This study aimed to develop a novel nephrometry scoring system for predicting the peri-operative outcomes of laparoscopic partial nephrectomy (LPN) by integrating and optimizing the RENAL score (RNS) and Mayo adhesive probability (MAP) score.
BACKGROUND
We retrospectively evaluated 159 patients treated with retroperitoneal LPN. The patients' demographic parameters, RNSs, and MAP scores were evaluated as potential predictors of perioperative outcomes, including operation time, estimated blood loss (EBL), and margin, ischemia, and complication (MIC) achievement rate. The independent predictors were used to develop a novel nephrometry scoring system. The predictive value and inter-observer agreement for the novel nephrometry scoring system were evaluated.
METHODS
Tumor radius (R score), nearness to the renal sinus or collecting system (N score), and posterior perinephric fat thickness were independent predictors of peri-operative outcomes and were used to develop the RNP score. The univariate analysis revealed that the RNP score was significantly associated with operation time, EBL, and MIC achievement rate (P < 0.050). The RNP score was an independent predictor of operation time (P < 0.001), EBL (P = 0.018), and MIC achievement rate (P = 0.023) in the multivariate analysis. The RNP score was not inferior to RNS in the area under the curve for predicting peri-operative outcomes and performed better in inter-observer agreement (76.7% vs. 57.8%) and kappa value (0.804 vs. 0.726).
RESULTS
The RNP score, combining the advantages of the RNS and MAP score, demonstrated a good predictive value for the peri-operative outcomes of retroperitoneal LPN and better inter-observer agreement.
CONCLUSION
[ "Female", "Humans", "Kidney", "Kidney Neoplasms", "Laparoscopy", "Male", "Middle Aged", "Nephrectomy", "Observer Variation", "Operative Time", "Predictive Value of Tests", "Retrospective Studies" ]
7065860
Introduction
Renal cell carcinoma (RCC), which has high surgical complexity, is associated with a higher complication rate and longer warm ischemia time (WIT) in partial nephrectomy (PN). Therefore, several scoring systems have been developed to quantify tumor complexity, predict outcomes of PN, and aid patient selection, such as the RENAL score (RNS),[1] PADUA score,[2] and Diameter-axial-polar (DAP) score.[3] The importance of these nephrometry scoring systems in predicting the perioperative outcomes of PN has been demonstrated. Tumor- and patient-related factors may add to the technical complexity of PN.[4] However, the existing scoring systems all focus on the anatomical characteristics of the tumor itself. They do not take into account the impact of patient-related characteristics on surgical complexity and perioperative outcomes. One of the most notable patient-specific factors is adherent perinephric fat (APF) characterized by inflammatory adipose tissue surrounding the kidney, which increases the surgical difficulty and makes mobilizing and isolating the tumor challenging.[5] Both the density and thickness of perinephric fat have been associated with surgical complexity and peri-operative outcomes. Davidiuk et al[6] developed the Mayo adhesive probability (MAP) scoring system based on posterior perinephric fat thickness and stranding, which can accurately predict the presence of APF.[7] In the present study, we systematically evaluated the association of each component of RNS and MAP score with perioperative outcomes of retroperitoneal laparoscopic partial nephrectomy (LPN). We aimed to develop a novel nephrometry scoring system by integrating and optimizing the RNS and MAP score, and to evaluate its predictive value and inter-observer agreement.
Methods
Ethics approval This study was approved by the Peking University Third Hospital Medical Science Research Ethics Committee (No. IRB00006761-M2018265), and all research procedures were performed in accordance with the relevant regulations. As a retrospective study and data analysis was performed anonymously, this study was exempt from informed consent from patients. This study was approved by the Peking University Third Hospital Medical Science Research Ethics Committee (No. IRB00006761-M2018265), and all research procedures were performed in accordance with the relevant regulations. As a retrospective study and data analysis was performed anonymously, this study was exempt from informed consent from patients. Patient selection We reviewed the clinical records of 159 consecutive patients who underwent retroperitoneal LPN between January 2015 and August 2016, met the inclusion criteria for single cT1 RCC, and had pre-operative computerized tomography (CT) scans available. The exclusion criteria included congenital kidney malformation, isolated kidney, coagulation dysfunction, and history of abdominal operation or radiofrequency ablation. A standard retroperitoneal LPN was performed for all the patients as previously described.[8] The demographic parameters and perioperative data were recorded, including age, sex, body mass index (BMI), previous history, American Society of Anesthesiologists (ASA) score, operative time, estimated blood loss (EBL), WIT, and margin and post-operative complications. Two pathologists reviewed the tumor tissue samples to double-check the criterion for a positive surgical margin. Post-operative complications were defined as those occurring within 30 days after LPN and were evaluated in accordance with the Clavien-Dindo classification. Margin, ischemia, and complications (MIC) achievement rate was acquired when the surgical margins are negative, the WIT was <20 min, and no major complications (Clavien III/IV) were observed.[9] We reviewed the clinical records of 159 consecutive patients who underwent retroperitoneal LPN between January 2015 and August 2016, met the inclusion criteria for single cT1 RCC, and had pre-operative computerized tomography (CT) scans available. The exclusion criteria included congenital kidney malformation, isolated kidney, coagulation dysfunction, and history of abdominal operation or radiofrequency ablation. A standard retroperitoneal LPN was performed for all the patients as previously described.[8] The demographic parameters and perioperative data were recorded, including age, sex, body mass index (BMI), previous history, American Society of Anesthesiologists (ASA) score, operative time, estimated blood loss (EBL), WIT, and margin and post-operative complications. Two pathologists reviewed the tumor tissue samples to double-check the criterion for a positive surgical margin. Post-operative complications were defined as those occurring within 30 days after LPN and were evaluated in accordance with the Clavien-Dindo classification. Margin, ischemia, and complications (MIC) achievement rate was acquired when the surgical margins are negative, the WIT was <20 min, and no major complications (Clavien III/IV) were observed.[9] Radiological evaluation The RNS was evaluated as described by Kutikov et al.[1] Tumor radius (R score), exophytic/endophytic property (E score), nearness to the renal sinus or collecting system (N score), and location relative to polar lines (L score) were assessed on a three-point scale. The MAP score was evaluated as described by Davidiuk et al.[6] Fat thickness was measured at the level of the renal vein on the ipsilateral side of the RCC. The posterior perinephric fat thickness was measured from the renal capsule to the posterior abdominal wall (<1.0 cm = 0 point, 1.1–1.9 cm = 1 point, ≥2.0 cm = 2 points). The stranding score was acquired at the same level (no stranding = 0 points, mild/moderate stranding = 2 points, severe stranding = 3 points). The measurements were performed by one radiologist (Scorer A), one urologist (Scorer B), and one senior radiologist (Scorer C). Before the formal analysis, five measurements were performed to acquaint the scorers with the proper methodology and technique for the two scoring systems. Scorers A and B, blinded to the peri-operative outcomes, independently calculated the RNS and MAP score based on the pre-operative CT scan. Scorer C recalculated the components with disagreement between scorers A and B to acquire the final scores. The RNS was evaluated as described by Kutikov et al.[1] Tumor radius (R score), exophytic/endophytic property (E score), nearness to the renal sinus or collecting system (N score), and location relative to polar lines (L score) were assessed on a three-point scale. The MAP score was evaluated as described by Davidiuk et al.[6] Fat thickness was measured at the level of the renal vein on the ipsilateral side of the RCC. The posterior perinephric fat thickness was measured from the renal capsule to the posterior abdominal wall (<1.0 cm = 0 point, 1.1–1.9 cm = 1 point, ≥2.0 cm = 2 points). The stranding score was acquired at the same level (no stranding = 0 points, mild/moderate stranding = 2 points, severe stranding = 3 points). The measurements were performed by one radiologist (Scorer A), one urologist (Scorer B), and one senior radiologist (Scorer C). Before the formal analysis, five measurements were performed to acquaint the scorers with the proper methodology and technique for the two scoring systems. Scorers A and B, blinded to the peri-operative outcomes, independently calculated the RNS and MAP score based on the pre-operative CT scan. Scorer C recalculated the components with disagreement between scorers A and B to acquire the final scores. Statistical analysis The association of each component of the RNS and MAP score with the peri-operative outcomes were evaluated using the uni-multivariate regression analysis. Comparisons of the peri-operative outcomes according to the novel nephrometry category were evaluated using the Kruskal-Wallis H test or Chi-square test. A multivariate regression analysis was used to quantify the predictive value of the novel nephrometry scoring system. Receiver-operating characteristic curves were generated for the novel nephrometry scoring system; and RNS and MAP score, to predict the operative time, EBL, and MIC achievement rate. The areas under the curve (AUC) were compared using the method proposed by Delong et al.[10] Kappa values were used to evaluate the inter-observer agreement. All statistical tests were two-sided, and a P value of <0.05 was considered statistically significant. Analyses were performed with SPSS v.22.0 (IBM Corp, Armonk, NY, USA). The association of each component of the RNS and MAP score with the peri-operative outcomes were evaluated using the uni-multivariate regression analysis. Comparisons of the peri-operative outcomes according to the novel nephrometry category were evaluated using the Kruskal-Wallis H test or Chi-square test. A multivariate regression analysis was used to quantify the predictive value of the novel nephrometry scoring system. Receiver-operating characteristic curves were generated for the novel nephrometry scoring system; and RNS and MAP score, to predict the operative time, EBL, and MIC achievement rate. The areas under the curve (AUC) were compared using the method proposed by Delong et al.[10] Kappa values were used to evaluate the inter-observer agreement. All statistical tests were two-sided, and a P value of <0.05 was considered statistically significant. Analyses were performed with SPSS v.22.0 (IBM Corp, Armonk, NY, USA).
Results
Baseline characteristics The clinical and radiological data of the included patients are summarized in Table 1. The median (interquartile range) RNS, MAP score, operative time, EBL, WIT, and MIC achievement rate were 8 (6–9), 1 (0–3), 149 min (116–186 min), 20 mL (10–50 mL), 25 min (18–30 min), and 27.0% (43%–159%), respectively. Clinical and radiological characteristics of 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy. The clinical and radiological data of the included patients are summarized in Table 1. The median (interquartile range) RNS, MAP score, operative time, EBL, WIT, and MIC achievement rate were 8 (6–9), 1 (0–3), 149 min (116–186 min), 20 mL (10–50 mL), 25 min (18–30 min), and 27.0% (43%–159%), respectively. Clinical and radiological characteristics of 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy. Association of each component with the peri-operative outcomes In the univariate linear regression analysis, operative time was significantly associated with sex, age, BMI, cardiovascular disease, hypertension, ASA score, R score, N score, posterior perinephric fat thickness, and stranding. Only R score (B = 24.753 [5.163–44.344], P = 0.014), N score (B = 10.183 [0.784–19.582], P = 0.034), and posterior perinephric fat thickness (B = 16.536 [3.436–29.636], P = 0.014) were the independent predictors of operative time in the multivariate analysis [Supplementary Table 1]. In the multivariate analysis, only R score (B = 34.964 [1.835–68.093], P = 0.039) was an independent predictor of EBL, and only N score (odds ratio [OR] = 0.627 [0.397–0.992], P = 0.046) was an independent predictor of MIC achievement rate [Supplementary Tables 2 and 3]. In the univariate linear regression analysis, operative time was significantly associated with sex, age, BMI, cardiovascular disease, hypertension, ASA score, R score, N score, posterior perinephric fat thickness, and stranding. Only R score (B = 24.753 [5.163–44.344], P = 0.014), N score (B = 10.183 [0.784–19.582], P = 0.034), and posterior perinephric fat thickness (B = 16.536 [3.436–29.636], P = 0.014) were the independent predictors of operative time in the multivariate analysis [Supplementary Table 1]. In the multivariate analysis, only R score (B = 34.964 [1.835–68.093], P = 0.039) was an independent predictor of EBL, and only N score (odds ratio [OR] = 0.627 [0.397–0.992], P = 0.046) was an independent predictor of MIC achievement rate [Supplementary Tables 2 and 3]. Predictive value of the RNP score The R score, N score, and posterior perinephric fat thickness had the highest predictive values for perioperative outcomes. The R score (≤4 cm = 1 point, >4 but <7 cm = 2 points, ≥7 cm = 3 points), N score (≥7 mm = 1 point, >4 but <7 mm = 2 points, ≤4 mm = 3 points), and posterior perinephric fat thickness (≤1.0 cm = 1 point, 1.1–1.9 cm = 2 points, ≥2.0 cm = 3 points) were assessed on a three-point scale. They were therefore used to develop a novel nephrometry scoring system, termed RNP score, with scores ranging from 3 to 9 [Table 2]. The patients were stratified into low (3–4), moderate (5–6), and high (7–9) complexity groups based on the RNP score. Definition of RNP score. The RNP score category was significantly associated with operative time (χ2 = 25.137, P < 0.001), EBL (χ2 = 21.661, P < 0.001), WIT (χ2 = 11.153, P = 0.004), and MIC achievement rate (χ2 = 6.957, P = 0.031) [Table 3]. In the multivariate analysis, the RNP score was an independent predictor of operative time (B = 17.749 [8.094–27.404], P < 0.001), EBL (B = 20.725 [3.594–37.857], P = 0.018), and MIC achievement rate (OR = 0.523 [0.299–0.916], P = 0.023) [Table 4]. Perioperative outcomes of 159 patients who underwent retroperitoneal laparoscopic partial nephrectomy according to RNP score category. Multivariate regression analysis of operative outcomes among 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy. We compared the AUC for operative time of >150 min, EBL of >20 mL, and MIC achievement rates of the RNP score, RNS, and MAP score [Figure 1]. Compared with the RNS, the RNP score had a higher AUC for operative time of >150 min (0.697 vs. 0.569, P = 0.004), and EBL of >20 mL (0.701 vs. 0.591, P = 0.014), and a comparable AUC for MIC achievement (0.633 vs. 0.626, P = 0.907). Compared with the MAP score, the RNP score had a higher AUC for EBL of >20 mL (0.701 vs. 0.606, P = 0.011) and MIC achievement (0.633 vs. 0.526, P = 0.008), and a comparable AUC for operative time of >150 min (0.697 vs. 0.655, P = 0.260). Area under the curve of the RNP score, RENAL score, and Mayo adhesive probability score for predicting (A) operative time of >150 min, (B) EBL of >20 mL, and (C) MIC achievement. EBL: Estimated blood loss; MIC: Margin, ischemia, and complications; ROC: Receiver-operating characteristic. The R score, N score, and posterior perinephric fat thickness had the highest predictive values for perioperative outcomes. The R score (≤4 cm = 1 point, >4 but <7 cm = 2 points, ≥7 cm = 3 points), N score (≥7 mm = 1 point, >4 but <7 mm = 2 points, ≤4 mm = 3 points), and posterior perinephric fat thickness (≤1.0 cm = 1 point, 1.1–1.9 cm = 2 points, ≥2.0 cm = 3 points) were assessed on a three-point scale. They were therefore used to develop a novel nephrometry scoring system, termed RNP score, with scores ranging from 3 to 9 [Table 2]. The patients were stratified into low (3–4), moderate (5–6), and high (7–9) complexity groups based on the RNP score. Definition of RNP score. The RNP score category was significantly associated with operative time (χ2 = 25.137, P < 0.001), EBL (χ2 = 21.661, P < 0.001), WIT (χ2 = 11.153, P = 0.004), and MIC achievement rate (χ2 = 6.957, P = 0.031) [Table 3]. In the multivariate analysis, the RNP score was an independent predictor of operative time (B = 17.749 [8.094–27.404], P < 0.001), EBL (B = 20.725 [3.594–37.857], P = 0.018), and MIC achievement rate (OR = 0.523 [0.299–0.916], P = 0.023) [Table 4]. Perioperative outcomes of 159 patients who underwent retroperitoneal laparoscopic partial nephrectomy according to RNP score category. Multivariate regression analysis of operative outcomes among 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy. We compared the AUC for operative time of >150 min, EBL of >20 mL, and MIC achievement rates of the RNP score, RNS, and MAP score [Figure 1]. Compared with the RNS, the RNP score had a higher AUC for operative time of >150 min (0.697 vs. 0.569, P = 0.004), and EBL of >20 mL (0.701 vs. 0.591, P = 0.014), and a comparable AUC for MIC achievement (0.633 vs. 0.626, P = 0.907). Compared with the MAP score, the RNP score had a higher AUC for EBL of >20 mL (0.701 vs. 0.606, P = 0.011) and MIC achievement (0.633 vs. 0.526, P = 0.008), and a comparable AUC for operative time of >150 min (0.697 vs. 0.655, P = 0.260). Area under the curve of the RNP score, RENAL score, and Mayo adhesive probability score for predicting (A) operative time of >150 min, (B) EBL of >20 mL, and (C) MIC achievement. EBL: Estimated blood loss; MIC: Margin, ischemia, and complications; ROC: Receiver-operating characteristic. Inter-observer agreement of the RNP score The inter-observer agreements for R score, E score, N score, L score, posterior perinephric fat thickness and stranding, RNS, MAP score, and RNP score were 99.4%, 84.9%, 80.5%, 77.3%, 91.2%, 82.4%, 57.8%, 76.7%, and 76.7%, respectively, corresponding to kappa values of 0.975, 0.770, 0.693, 0.750, 0.883, 0.585, 0.726, 0.728, and 0.804, respectively. The RNP score showed better inter-observer agreement than the RNS. The inter-observer agreements for R score, E score, N score, L score, posterior perinephric fat thickness and stranding, RNS, MAP score, and RNP score were 99.4%, 84.9%, 80.5%, 77.3%, 91.2%, 82.4%, 57.8%, 76.7%, and 76.7%, respectively, corresponding to kappa values of 0.975, 0.770, 0.693, 0.750, 0.883, 0.585, 0.726, 0.728, and 0.804, respectively. The RNP score showed better inter-observer agreement than the RNS.
null
null
[ "Ethics approval", "Radiological evaluation", "Statistical analysis", "Baseline characteristics", "Association of each component with the peri-operative outcomes", "Predictive value of the RNP score", "Inter-observer agreement of the RNP score", "Acknowledgment" ]
[ "This study was approved by the Peking University Third Hospital Medical Science Research Ethics Committee (No. IRB00006761-M2018265), and all research procedures were performed in accordance with the relevant regulations. As a retrospective study and data analysis was performed anonymously, this study was exempt from informed consent from patients.", "The RNS was evaluated as described by Kutikov et al.[1] Tumor radius (R score), exophytic/endophytic property (E score), nearness to the renal sinus or collecting system (N score), and location relative to polar lines (L score) were assessed on a three-point scale. The MAP score was evaluated as described by Davidiuk et al.[6] Fat thickness was measured at the level of the renal vein on the ipsilateral side of the RCC. The posterior perinephric fat thickness was measured from the renal capsule to the posterior abdominal wall (<1.0 cm = 0 point, 1.1–1.9 cm = 1 point, ≥2.0 cm = 2 points). The stranding score was acquired at the same level (no stranding = 0 points, mild/moderate stranding = 2 points, severe stranding = 3 points).\nThe measurements were performed by one radiologist (Scorer A), one urologist (Scorer B), and one senior radiologist (Scorer C). Before the formal analysis, five measurements were performed to acquaint the scorers with the proper methodology and technique for the two scoring systems. Scorers A and B, blinded to the peri-operative outcomes, independently calculated the RNS and MAP score based on the pre-operative CT scan. Scorer C recalculated the components with disagreement between scorers A and B to acquire the final scores.", "The association of each component of the RNS and MAP score with the peri-operative outcomes were evaluated using the uni-multivariate regression analysis. Comparisons of the peri-operative outcomes according to the novel nephrometry category were evaluated using the Kruskal-Wallis H test or Chi-square test. A multivariate regression analysis was used to quantify the predictive value of the novel nephrometry scoring system. Receiver-operating characteristic curves were generated for the novel nephrometry scoring system; and RNS and MAP score, to predict the operative time, EBL, and MIC achievement rate. The areas under the curve (AUC) were compared using the method proposed by Delong et al.[10] Kappa values were used to evaluate the inter-observer agreement. All statistical tests were two-sided, and a P value of <0.05 was considered statistically significant. Analyses were performed with SPSS v.22.0 (IBM Corp, Armonk, NY, USA).", "The clinical and radiological data of the included patients are summarized in Table 1. The median (interquartile range) RNS, MAP score, operative time, EBL, WIT, and MIC achievement rate were 8 (6–9), 1 (0–3), 149 min (116–186 min), 20 mL (10–50 mL), 25 min (18–30 min), and 27.0% (43%–159%), respectively.\nClinical and radiological characteristics of 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy.", "In the univariate linear regression analysis, operative time was significantly associated with sex, age, BMI, cardiovascular disease, hypertension, ASA score, R score, N score, posterior perinephric fat thickness, and stranding. Only R score (B = 24.753 [5.163–44.344], P = 0.014), N score (B = 10.183 [0.784–19.582], P = 0.034), and posterior perinephric fat thickness (B = 16.536 [3.436–29.636], P = 0.014) were the independent predictors of operative time in the multivariate analysis [Supplementary Table 1].\nIn the multivariate analysis, only R score (B = 34.964 [1.835–68.093], P = 0.039) was an independent predictor of EBL, and only N score (odds ratio [OR] = 0.627 [0.397–0.992], P = 0.046) was an independent predictor of MIC achievement rate [Supplementary Tables 2 and 3].", "The R score, N score, and posterior perinephric fat thickness had the highest predictive values for perioperative outcomes. The R score (≤4 cm = 1 point, >4 but <7 cm = 2 points, ≥7 cm = 3 points), N score (≥7 mm = 1 point, >4 but <7 mm = 2 points, ≤4 mm = 3 points), and posterior perinephric fat thickness (≤1.0 cm = 1 point, 1.1–1.9 cm = 2 points, ≥2.0 cm = 3 points) were assessed on a three-point scale. They were therefore used to develop a novel nephrometry scoring system, termed RNP score, with scores ranging from 3 to 9 [Table 2]. The patients were stratified into low (3–4), moderate (5–6), and high (7–9) complexity groups based on the RNP score.\nDefinition of RNP score.\nThe RNP score category was significantly associated with operative time (χ2 = 25.137, P < 0.001), EBL (χ2 = 21.661, P < 0.001), WIT (χ2 = 11.153, P = 0.004), and MIC achievement rate (χ2 = 6.957, P = 0.031) [Table 3]. In the multivariate analysis, the RNP score was an independent predictor of operative time (B = 17.749 [8.094–27.404], P < 0.001), EBL (B = 20.725 [3.594–37.857], P = 0.018), and MIC achievement rate (OR = 0.523 [0.299–0.916], P = 0.023) [Table 4].\nPerioperative outcomes of 159 patients who underwent retroperitoneal laparoscopic partial nephrectomy according to RNP score category.\nMultivariate regression analysis of operative outcomes among 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy.\nWe compared the AUC for operative time of >150 min, EBL of >20 mL, and MIC achievement rates of the RNP score, RNS, and MAP score [Figure 1]. Compared with the RNS, the RNP score had a higher AUC for operative time of >150 min (0.697 vs. 0.569, P = 0.004), and EBL of >20 mL (0.701 vs. 0.591, P = 0.014), and a comparable AUC for MIC achievement (0.633 vs. 0.626, P = 0.907). Compared with the MAP score, the RNP score had a higher AUC for EBL of >20 mL (0.701 vs. 0.606, P = 0.011) and MIC achievement (0.633 vs. 0.526, P = 0.008), and a comparable AUC for operative time of >150 min (0.697 vs. 0.655, P = 0.260).\nArea under the curve of the RNP score, RENAL score, and Mayo adhesive probability score for predicting (A) operative time of >150 min, (B) EBL of >20 mL, and (C) MIC achievement. EBL: Estimated blood loss; MIC: Margin, ischemia, and complications; ROC: Receiver-operating characteristic.", "The inter-observer agreements for R score, E score, N score, L score, posterior perinephric fat thickness and stranding, RNS, MAP score, and RNP score were 99.4%, 84.9%, 80.5%, 77.3%, 91.2%, 82.4%, 57.8%, 76.7%, and 76.7%, respectively, corresponding to kappa values of 0.975, 0.770, 0.693, 0.750, 0.883, 0.585, 0.726, 0.728, and 0.804, respectively. The RNP score showed better inter-observer agreement than the RNS.", "The authors thank Mr. Li-Yuan Tao from the Research Center of Clinical Epidemiology of Peking University Third Hospital for the help in the statistical analyses." ]
[ null, null, null, null, null, null, null, null ]
[ "Introduction", "Methods", "Ethics approval", "Patient selection", "Radiological evaluation", "Statistical analysis", "Results", "Baseline characteristics", "Association of each component with the peri-operative outcomes", "Predictive value of the RNP score", "Inter-observer agreement of the RNP score", "Discussion", "Acknowledgment", "Conflicts of interest", "Supplementary Material" ]
[ "Renal cell carcinoma (RCC), which has high surgical complexity, is associated with a higher complication rate and longer warm ischemia time (WIT) in partial nephrectomy (PN). Therefore, several scoring systems have been developed to quantify tumor complexity, predict outcomes of PN, and aid patient selection, such as the RENAL score (RNS),[1] PADUA score,[2] and Diameter-axial-polar (DAP) score.[3] The importance of these nephrometry scoring systems in predicting the perioperative outcomes of PN has been demonstrated.\nTumor- and patient-related factors may add to the technical complexity of PN.[4] However, the existing scoring systems all focus on the anatomical characteristics of the tumor itself. They do not take into account the impact of patient-related characteristics on surgical complexity and perioperative outcomes. One of the most notable patient-specific factors is adherent perinephric fat (APF) characterized by inflammatory adipose tissue surrounding the kidney, which increases the surgical difficulty and makes mobilizing and isolating the tumor challenging.[5] Both the density and thickness of perinephric fat have been associated with surgical complexity and peri-operative outcomes. Davidiuk et al[6] developed the Mayo adhesive probability (MAP) scoring system based on posterior perinephric fat thickness and stranding, which can accurately predict the presence of APF.[7]\nIn the present study, we systematically evaluated the association of each component of RNS and MAP score with perioperative outcomes of retroperitoneal laparoscopic partial nephrectomy (LPN). We aimed to develop a novel nephrometry scoring system by integrating and optimizing the RNS and MAP score, and to evaluate its predictive value and inter-observer agreement.", " Ethics approval This study was approved by the Peking University Third Hospital Medical Science Research Ethics Committee (No. IRB00006761-M2018265), and all research procedures were performed in accordance with the relevant regulations. As a retrospective study and data analysis was performed anonymously, this study was exempt from informed consent from patients.\nThis study was approved by the Peking University Third Hospital Medical Science Research Ethics Committee (No. IRB00006761-M2018265), and all research procedures were performed in accordance with the relevant regulations. As a retrospective study and data analysis was performed anonymously, this study was exempt from informed consent from patients.\n Patient selection We reviewed the clinical records of 159 consecutive patients who underwent retroperitoneal LPN between January 2015 and August 2016, met the inclusion criteria for single cT1 RCC, and had pre-operative computerized tomography (CT) scans available. The exclusion criteria included congenital kidney malformation, isolated kidney, coagulation dysfunction, and history of abdominal operation or radiofrequency ablation. A standard retroperitoneal LPN was performed for all the patients as previously described.[8]\nThe demographic parameters and perioperative data were recorded, including age, sex, body mass index (BMI), previous history, American Society of Anesthesiologists (ASA) score, operative time, estimated blood loss (EBL), WIT, and margin and post-operative complications. Two pathologists reviewed the tumor tissue samples to double-check the criterion for a positive surgical margin. Post-operative complications were defined as those occurring within 30 days after LPN and were evaluated in accordance with the Clavien-Dindo classification. Margin, ischemia, and complications (MIC) achievement rate was acquired when the surgical margins are negative, the WIT was <20 min, and no major complications (Clavien III/IV) were observed.[9]\nWe reviewed the clinical records of 159 consecutive patients who underwent retroperitoneal LPN between January 2015 and August 2016, met the inclusion criteria for single cT1 RCC, and had pre-operative computerized tomography (CT) scans available. The exclusion criteria included congenital kidney malformation, isolated kidney, coagulation dysfunction, and history of abdominal operation or radiofrequency ablation. A standard retroperitoneal LPN was performed for all the patients as previously described.[8]\nThe demographic parameters and perioperative data were recorded, including age, sex, body mass index (BMI), previous history, American Society of Anesthesiologists (ASA) score, operative time, estimated blood loss (EBL), WIT, and margin and post-operative complications. Two pathologists reviewed the tumor tissue samples to double-check the criterion for a positive surgical margin. Post-operative complications were defined as those occurring within 30 days after LPN and were evaluated in accordance with the Clavien-Dindo classification. Margin, ischemia, and complications (MIC) achievement rate was acquired when the surgical margins are negative, the WIT was <20 min, and no major complications (Clavien III/IV) were observed.[9]\n Radiological evaluation The RNS was evaluated as described by Kutikov et al.[1] Tumor radius (R score), exophytic/endophytic property (E score), nearness to the renal sinus or collecting system (N score), and location relative to polar lines (L score) were assessed on a three-point scale. The MAP score was evaluated as described by Davidiuk et al.[6] Fat thickness was measured at the level of the renal vein on the ipsilateral side of the RCC. The posterior perinephric fat thickness was measured from the renal capsule to the posterior abdominal wall (<1.0 cm = 0 point, 1.1–1.9 cm = 1 point, ≥2.0 cm = 2 points). The stranding score was acquired at the same level (no stranding = 0 points, mild/moderate stranding = 2 points, severe stranding = 3 points).\nThe measurements were performed by one radiologist (Scorer A), one urologist (Scorer B), and one senior radiologist (Scorer C). Before the formal analysis, five measurements were performed to acquaint the scorers with the proper methodology and technique for the two scoring systems. Scorers A and B, blinded to the peri-operative outcomes, independently calculated the RNS and MAP score based on the pre-operative CT scan. Scorer C recalculated the components with disagreement between scorers A and B to acquire the final scores.\nThe RNS was evaluated as described by Kutikov et al.[1] Tumor radius (R score), exophytic/endophytic property (E score), nearness to the renal sinus or collecting system (N score), and location relative to polar lines (L score) were assessed on a three-point scale. The MAP score was evaluated as described by Davidiuk et al.[6] Fat thickness was measured at the level of the renal vein on the ipsilateral side of the RCC. The posterior perinephric fat thickness was measured from the renal capsule to the posterior abdominal wall (<1.0 cm = 0 point, 1.1–1.9 cm = 1 point, ≥2.0 cm = 2 points). The stranding score was acquired at the same level (no stranding = 0 points, mild/moderate stranding = 2 points, severe stranding = 3 points).\nThe measurements were performed by one radiologist (Scorer A), one urologist (Scorer B), and one senior radiologist (Scorer C). Before the formal analysis, five measurements were performed to acquaint the scorers with the proper methodology and technique for the two scoring systems. Scorers A and B, blinded to the peri-operative outcomes, independently calculated the RNS and MAP score based on the pre-operative CT scan. Scorer C recalculated the components with disagreement between scorers A and B to acquire the final scores.\n Statistical analysis The association of each component of the RNS and MAP score with the peri-operative outcomes were evaluated using the uni-multivariate regression analysis. Comparisons of the peri-operative outcomes according to the novel nephrometry category were evaluated using the Kruskal-Wallis H test or Chi-square test. A multivariate regression analysis was used to quantify the predictive value of the novel nephrometry scoring system. Receiver-operating characteristic curves were generated for the novel nephrometry scoring system; and RNS and MAP score, to predict the operative time, EBL, and MIC achievement rate. The areas under the curve (AUC) were compared using the method proposed by Delong et al.[10] Kappa values were used to evaluate the inter-observer agreement. All statistical tests were two-sided, and a P value of <0.05 was considered statistically significant. Analyses were performed with SPSS v.22.0 (IBM Corp, Armonk, NY, USA).\nThe association of each component of the RNS and MAP score with the peri-operative outcomes were evaluated using the uni-multivariate regression analysis. Comparisons of the peri-operative outcomes according to the novel nephrometry category were evaluated using the Kruskal-Wallis H test or Chi-square test. A multivariate regression analysis was used to quantify the predictive value of the novel nephrometry scoring system. Receiver-operating characteristic curves were generated for the novel nephrometry scoring system; and RNS and MAP score, to predict the operative time, EBL, and MIC achievement rate. The areas under the curve (AUC) were compared using the method proposed by Delong et al.[10] Kappa values were used to evaluate the inter-observer agreement. All statistical tests were two-sided, and a P value of <0.05 was considered statistically significant. Analyses were performed with SPSS v.22.0 (IBM Corp, Armonk, NY, USA).", "This study was approved by the Peking University Third Hospital Medical Science Research Ethics Committee (No. IRB00006761-M2018265), and all research procedures were performed in accordance with the relevant regulations. As a retrospective study and data analysis was performed anonymously, this study was exempt from informed consent from patients.", "We reviewed the clinical records of 159 consecutive patients who underwent retroperitoneal LPN between January 2015 and August 2016, met the inclusion criteria for single cT1 RCC, and had pre-operative computerized tomography (CT) scans available. The exclusion criteria included congenital kidney malformation, isolated kidney, coagulation dysfunction, and history of abdominal operation or radiofrequency ablation. A standard retroperitoneal LPN was performed for all the patients as previously described.[8]\nThe demographic parameters and perioperative data were recorded, including age, sex, body mass index (BMI), previous history, American Society of Anesthesiologists (ASA) score, operative time, estimated blood loss (EBL), WIT, and margin and post-operative complications. Two pathologists reviewed the tumor tissue samples to double-check the criterion for a positive surgical margin. Post-operative complications were defined as those occurring within 30 days after LPN and were evaluated in accordance with the Clavien-Dindo classification. Margin, ischemia, and complications (MIC) achievement rate was acquired when the surgical margins are negative, the WIT was <20 min, and no major complications (Clavien III/IV) were observed.[9]", "The RNS was evaluated as described by Kutikov et al.[1] Tumor radius (R score), exophytic/endophytic property (E score), nearness to the renal sinus or collecting system (N score), and location relative to polar lines (L score) were assessed on a three-point scale. The MAP score was evaluated as described by Davidiuk et al.[6] Fat thickness was measured at the level of the renal vein on the ipsilateral side of the RCC. The posterior perinephric fat thickness was measured from the renal capsule to the posterior abdominal wall (<1.0 cm = 0 point, 1.1–1.9 cm = 1 point, ≥2.0 cm = 2 points). The stranding score was acquired at the same level (no stranding = 0 points, mild/moderate stranding = 2 points, severe stranding = 3 points).\nThe measurements were performed by one radiologist (Scorer A), one urologist (Scorer B), and one senior radiologist (Scorer C). Before the formal analysis, five measurements were performed to acquaint the scorers with the proper methodology and technique for the two scoring systems. Scorers A and B, blinded to the peri-operative outcomes, independently calculated the RNS and MAP score based on the pre-operative CT scan. Scorer C recalculated the components with disagreement between scorers A and B to acquire the final scores.", "The association of each component of the RNS and MAP score with the peri-operative outcomes were evaluated using the uni-multivariate regression analysis. Comparisons of the peri-operative outcomes according to the novel nephrometry category were evaluated using the Kruskal-Wallis H test or Chi-square test. A multivariate regression analysis was used to quantify the predictive value of the novel nephrometry scoring system. Receiver-operating characteristic curves were generated for the novel nephrometry scoring system; and RNS and MAP score, to predict the operative time, EBL, and MIC achievement rate. The areas under the curve (AUC) were compared using the method proposed by Delong et al.[10] Kappa values were used to evaluate the inter-observer agreement. All statistical tests were two-sided, and a P value of <0.05 was considered statistically significant. Analyses were performed with SPSS v.22.0 (IBM Corp, Armonk, NY, USA).", " Baseline characteristics The clinical and radiological data of the included patients are summarized in Table 1. The median (interquartile range) RNS, MAP score, operative time, EBL, WIT, and MIC achievement rate were 8 (6–9), 1 (0–3), 149 min (116–186 min), 20 mL (10–50 mL), 25 min (18–30 min), and 27.0% (43%–159%), respectively.\nClinical and radiological characteristics of 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy.\nThe clinical and radiological data of the included patients are summarized in Table 1. The median (interquartile range) RNS, MAP score, operative time, EBL, WIT, and MIC achievement rate were 8 (6–9), 1 (0–3), 149 min (116–186 min), 20 mL (10–50 mL), 25 min (18–30 min), and 27.0% (43%–159%), respectively.\nClinical and radiological characteristics of 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy.\n Association of each component with the peri-operative outcomes In the univariate linear regression analysis, operative time was significantly associated with sex, age, BMI, cardiovascular disease, hypertension, ASA score, R score, N score, posterior perinephric fat thickness, and stranding. Only R score (B = 24.753 [5.163–44.344], P = 0.014), N score (B = 10.183 [0.784–19.582], P = 0.034), and posterior perinephric fat thickness (B = 16.536 [3.436–29.636], P = 0.014) were the independent predictors of operative time in the multivariate analysis [Supplementary Table 1].\nIn the multivariate analysis, only R score (B = 34.964 [1.835–68.093], P = 0.039) was an independent predictor of EBL, and only N score (odds ratio [OR] = 0.627 [0.397–0.992], P = 0.046) was an independent predictor of MIC achievement rate [Supplementary Tables 2 and 3].\nIn the univariate linear regression analysis, operative time was significantly associated with sex, age, BMI, cardiovascular disease, hypertension, ASA score, R score, N score, posterior perinephric fat thickness, and stranding. Only R score (B = 24.753 [5.163–44.344], P = 0.014), N score (B = 10.183 [0.784–19.582], P = 0.034), and posterior perinephric fat thickness (B = 16.536 [3.436–29.636], P = 0.014) were the independent predictors of operative time in the multivariate analysis [Supplementary Table 1].\nIn the multivariate analysis, only R score (B = 34.964 [1.835–68.093], P = 0.039) was an independent predictor of EBL, and only N score (odds ratio [OR] = 0.627 [0.397–0.992], P = 0.046) was an independent predictor of MIC achievement rate [Supplementary Tables 2 and 3].\n Predictive value of the RNP score The R score, N score, and posterior perinephric fat thickness had the highest predictive values for perioperative outcomes. The R score (≤4 cm = 1 point, >4 but <7 cm = 2 points, ≥7 cm = 3 points), N score (≥7 mm = 1 point, >4 but <7 mm = 2 points, ≤4 mm = 3 points), and posterior perinephric fat thickness (≤1.0 cm = 1 point, 1.1–1.9 cm = 2 points, ≥2.0 cm = 3 points) were assessed on a three-point scale. They were therefore used to develop a novel nephrometry scoring system, termed RNP score, with scores ranging from 3 to 9 [Table 2]. The patients were stratified into low (3–4), moderate (5–6), and high (7–9) complexity groups based on the RNP score.\nDefinition of RNP score.\nThe RNP score category was significantly associated with operative time (χ2 = 25.137, P < 0.001), EBL (χ2 = 21.661, P < 0.001), WIT (χ2 = 11.153, P = 0.004), and MIC achievement rate (χ2 = 6.957, P = 0.031) [Table 3]. In the multivariate analysis, the RNP score was an independent predictor of operative time (B = 17.749 [8.094–27.404], P < 0.001), EBL (B = 20.725 [3.594–37.857], P = 0.018), and MIC achievement rate (OR = 0.523 [0.299–0.916], P = 0.023) [Table 4].\nPerioperative outcomes of 159 patients who underwent retroperitoneal laparoscopic partial nephrectomy according to RNP score category.\nMultivariate regression analysis of operative outcomes among 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy.\nWe compared the AUC for operative time of >150 min, EBL of >20 mL, and MIC achievement rates of the RNP score, RNS, and MAP score [Figure 1]. Compared with the RNS, the RNP score had a higher AUC for operative time of >150 min (0.697 vs. 0.569, P = 0.004), and EBL of >20 mL (0.701 vs. 0.591, P = 0.014), and a comparable AUC for MIC achievement (0.633 vs. 0.626, P = 0.907). Compared with the MAP score, the RNP score had a higher AUC for EBL of >20 mL (0.701 vs. 0.606, P = 0.011) and MIC achievement (0.633 vs. 0.526, P = 0.008), and a comparable AUC for operative time of >150 min (0.697 vs. 0.655, P = 0.260).\nArea under the curve of the RNP score, RENAL score, and Mayo adhesive probability score for predicting (A) operative time of >150 min, (B) EBL of >20 mL, and (C) MIC achievement. EBL: Estimated blood loss; MIC: Margin, ischemia, and complications; ROC: Receiver-operating characteristic.\nThe R score, N score, and posterior perinephric fat thickness had the highest predictive values for perioperative outcomes. The R score (≤4 cm = 1 point, >4 but <7 cm = 2 points, ≥7 cm = 3 points), N score (≥7 mm = 1 point, >4 but <7 mm = 2 points, ≤4 mm = 3 points), and posterior perinephric fat thickness (≤1.0 cm = 1 point, 1.1–1.9 cm = 2 points, ≥2.0 cm = 3 points) were assessed on a three-point scale. They were therefore used to develop a novel nephrometry scoring system, termed RNP score, with scores ranging from 3 to 9 [Table 2]. The patients were stratified into low (3–4), moderate (5–6), and high (7–9) complexity groups based on the RNP score.\nDefinition of RNP score.\nThe RNP score category was significantly associated with operative time (χ2 = 25.137, P < 0.001), EBL (χ2 = 21.661, P < 0.001), WIT (χ2 = 11.153, P = 0.004), and MIC achievement rate (χ2 = 6.957, P = 0.031) [Table 3]. In the multivariate analysis, the RNP score was an independent predictor of operative time (B = 17.749 [8.094–27.404], P < 0.001), EBL (B = 20.725 [3.594–37.857], P = 0.018), and MIC achievement rate (OR = 0.523 [0.299–0.916], P = 0.023) [Table 4].\nPerioperative outcomes of 159 patients who underwent retroperitoneal laparoscopic partial nephrectomy according to RNP score category.\nMultivariate regression analysis of operative outcomes among 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy.\nWe compared the AUC for operative time of >150 min, EBL of >20 mL, and MIC achievement rates of the RNP score, RNS, and MAP score [Figure 1]. Compared with the RNS, the RNP score had a higher AUC for operative time of >150 min (0.697 vs. 0.569, P = 0.004), and EBL of >20 mL (0.701 vs. 0.591, P = 0.014), and a comparable AUC for MIC achievement (0.633 vs. 0.626, P = 0.907). Compared with the MAP score, the RNP score had a higher AUC for EBL of >20 mL (0.701 vs. 0.606, P = 0.011) and MIC achievement (0.633 vs. 0.526, P = 0.008), and a comparable AUC for operative time of >150 min (0.697 vs. 0.655, P = 0.260).\nArea under the curve of the RNP score, RENAL score, and Mayo adhesive probability score for predicting (A) operative time of >150 min, (B) EBL of >20 mL, and (C) MIC achievement. EBL: Estimated blood loss; MIC: Margin, ischemia, and complications; ROC: Receiver-operating characteristic.\n Inter-observer agreement of the RNP score The inter-observer agreements for R score, E score, N score, L score, posterior perinephric fat thickness and stranding, RNS, MAP score, and RNP score were 99.4%, 84.9%, 80.5%, 77.3%, 91.2%, 82.4%, 57.8%, 76.7%, and 76.7%, respectively, corresponding to kappa values of 0.975, 0.770, 0.693, 0.750, 0.883, 0.585, 0.726, 0.728, and 0.804, respectively. The RNP score showed better inter-observer agreement than the RNS.\nThe inter-observer agreements for R score, E score, N score, L score, posterior perinephric fat thickness and stranding, RNS, MAP score, and RNP score were 99.4%, 84.9%, 80.5%, 77.3%, 91.2%, 82.4%, 57.8%, 76.7%, and 76.7%, respectively, corresponding to kappa values of 0.975, 0.770, 0.693, 0.750, 0.883, 0.585, 0.726, 0.728, and 0.804, respectively. The RNP score showed better inter-observer agreement than the RNS.", "The clinical and radiological data of the included patients are summarized in Table 1. The median (interquartile range) RNS, MAP score, operative time, EBL, WIT, and MIC achievement rate were 8 (6–9), 1 (0–3), 149 min (116–186 min), 20 mL (10–50 mL), 25 min (18–30 min), and 27.0% (43%–159%), respectively.\nClinical and radiological characteristics of 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy.", "In the univariate linear regression analysis, operative time was significantly associated with sex, age, BMI, cardiovascular disease, hypertension, ASA score, R score, N score, posterior perinephric fat thickness, and stranding. Only R score (B = 24.753 [5.163–44.344], P = 0.014), N score (B = 10.183 [0.784–19.582], P = 0.034), and posterior perinephric fat thickness (B = 16.536 [3.436–29.636], P = 0.014) were the independent predictors of operative time in the multivariate analysis [Supplementary Table 1].\nIn the multivariate analysis, only R score (B = 34.964 [1.835–68.093], P = 0.039) was an independent predictor of EBL, and only N score (odds ratio [OR] = 0.627 [0.397–0.992], P = 0.046) was an independent predictor of MIC achievement rate [Supplementary Tables 2 and 3].", "The R score, N score, and posterior perinephric fat thickness had the highest predictive values for perioperative outcomes. The R score (≤4 cm = 1 point, >4 but <7 cm = 2 points, ≥7 cm = 3 points), N score (≥7 mm = 1 point, >4 but <7 mm = 2 points, ≤4 mm = 3 points), and posterior perinephric fat thickness (≤1.0 cm = 1 point, 1.1–1.9 cm = 2 points, ≥2.0 cm = 3 points) were assessed on a three-point scale. They were therefore used to develop a novel nephrometry scoring system, termed RNP score, with scores ranging from 3 to 9 [Table 2]. The patients were stratified into low (3–4), moderate (5–6), and high (7–9) complexity groups based on the RNP score.\nDefinition of RNP score.\nThe RNP score category was significantly associated with operative time (χ2 = 25.137, P < 0.001), EBL (χ2 = 21.661, P < 0.001), WIT (χ2 = 11.153, P = 0.004), and MIC achievement rate (χ2 = 6.957, P = 0.031) [Table 3]. In the multivariate analysis, the RNP score was an independent predictor of operative time (B = 17.749 [8.094–27.404], P < 0.001), EBL (B = 20.725 [3.594–37.857], P = 0.018), and MIC achievement rate (OR = 0.523 [0.299–0.916], P = 0.023) [Table 4].\nPerioperative outcomes of 159 patients who underwent retroperitoneal laparoscopic partial nephrectomy according to RNP score category.\nMultivariate regression analysis of operative outcomes among 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy.\nWe compared the AUC for operative time of >150 min, EBL of >20 mL, and MIC achievement rates of the RNP score, RNS, and MAP score [Figure 1]. Compared with the RNS, the RNP score had a higher AUC for operative time of >150 min (0.697 vs. 0.569, P = 0.004), and EBL of >20 mL (0.701 vs. 0.591, P = 0.014), and a comparable AUC for MIC achievement (0.633 vs. 0.626, P = 0.907). Compared with the MAP score, the RNP score had a higher AUC for EBL of >20 mL (0.701 vs. 0.606, P = 0.011) and MIC achievement (0.633 vs. 0.526, P = 0.008), and a comparable AUC for operative time of >150 min (0.697 vs. 0.655, P = 0.260).\nArea under the curve of the RNP score, RENAL score, and Mayo adhesive probability score for predicting (A) operative time of >150 min, (B) EBL of >20 mL, and (C) MIC achievement. EBL: Estimated blood loss; MIC: Margin, ischemia, and complications; ROC: Receiver-operating characteristic.", "The inter-observer agreements for R score, E score, N score, L score, posterior perinephric fat thickness and stranding, RNS, MAP score, and RNP score were 99.4%, 84.9%, 80.5%, 77.3%, 91.2%, 82.4%, 57.8%, 76.7%, and 76.7%, respectively, corresponding to kappa values of 0.975, 0.770, 0.693, 0.750, 0.883, 0.585, 0.726, 0.728, and 0.804, respectively. The RNP score showed better inter-observer agreement than the RNS.", "We developed a simple RNP score by integrating the optimized attributes of the RNS and MAP score to evaluate the perioperative outcomes of retroperitoneal LPN. The RNP score takes into consideration the internal characteristics and external environment of the tumor. In our study, the R score, N score, and posterior perinephric fat thickness correlated well with the perioperative outcomes of LPN. The RNP score independently predicted the risk of increased operation time, EBL, and WIT, and decreased MIC achievement rate. The RNP score, which includes only three quantitative components, is objective and simple to evaluate based on enhancement CT.\nThe RNS has been demonstrated to be associated with surgical complexity and outcomes of PN in many validation studies.[11,12] However, few reports have indicated that the accuracy of the RNS in predicting outcomes and reproducibility is inconsistent, hindering its universal applicability.[13,14] The RNS was reported as a quantitative score and then as a descriptive score, preventing us from intuitively and comprehensively understanding the score. According to the results of Spaliviero et al,[15] only the R, N, and L scores were useful for predicting the peri-operative outcomes of PN. In a critical appraisal of the RNS, only the R and N scores were found to be predictors of complexity in the multivariate analysis.[16] In our study, E score failed to show a significant association with operation time, EBL, or MIC achievement rate in both the univariate and multivariate analyses. With the widespread use of intra-operative ultrasonography, the importance of the convexity rate is decreasing. The contribution of the E score to the RNS deserves careful consideration. Some modified scoring systems were developed to overcome the limitations,[2,3] but no superiority to RNS was demonstrated.[12,16] Chinese urologists prefer the retroperitoneal approach for LPN that has considerable convenience for anterior and posterior tumors. In our study, LPN was performed using the retroperitoneal approach. Therefore, we did not include the data for the anterior/posterior tumors in the multivariate analysis.\nA recent report has shown that RNS, MAP score, and patient-related factors all had some influence on peri-operative outcomes.[4] The existing nephrometry scoring systems were designed to evaluate the characteristics of the tumor itself, but they all neglected the environment- and patient-related factors that may cause increased surgical complexity and morbidity, particularly APF. The incidence of APF during PN varies greatly in reported studies. Two large prospective studies reported APF incidence rates of 30% and 40.8%, respectively.[5,17] The presence of APF can be an obstacle to mobilizing the kidney tumor and isolate the renal hilum, and its removal can often lead to tearing of the renal capsule. Reports have demonstrated that the presence of APF correlated with increased operative time and EBL, but not WIT and the incidence rates of peri-operative complications and surgical margins.[5,17,18] Some authors found that the presence of APF may be associated with malignant renal histology.[18] Khene et al[19] investigated 202 patients who underwent robot-assisted PN, and their result showed that the presence of APF caused significant increases in operative time, EBL, and conversion rate, and resulted in more transfusions.\nAPF is an important factor that affects the perioperative outcomes of PN. The difficulty to deal with APF may compel less-experienced surgeons to select RN or percutaneous ablation to treat RCC. However, the presence of APF is difficult to accurately predict using clinical and imaging data before operation. Zheng et al[20] found that the perinephric fat surface density was higher in APF and showed a significant ability to predict the difficulty of perinephric fat surgical dissection (AUC = 0.87, P < 0.001). CT texture analysis was supported to be a promising quantitative imaging tool to help urologists identify APF.[21] However, the variables of the methods may be difficult to measure in a time-efficient manner, particularly in the clinical setting. Davidiuk et al[6] developed a simple scoring system termed MAP score to predict the presence of APF. Several studies have demonstrated the ability of MAP score to predict APF.[5–7] Other tumor characteristics such as central and hilar locations may lead to surgical challenges in tumor excision and kidney reconstruction. Therefore, these anatomical characteristics must be taken into account during assessment of the complexity of LPN. A study by Dulabon et al[22] represents a largest series of renal hilar tumors and suggested that PN is a safe and feasible option for renal hilar tumors. However, a significant increase in WIT was observed in the hilar group as compared with the non-hilar group, even in the hands of experienced surgeons.[22] Furthermore, renal anatomical variants such as multiple renal arteries, solitary kidney, and horseshoe kidney may increase the surgical complexity of LPN.\nOur study integrated the parameters of tumor and perinephric fat to predict the outcomes of PN, the RNP score showed higher predictive values for surgical complexity and MIC achievement rate than the RNS and MAP score, respectively. The main innovations of the RNP score are the introduction of posterior perinephric fat thickness and the simplification of the RNS. High measurement variability restricts the promotion of current nephrometry systems. Our findings demonstrate a substantial-to-almost perfect agreement for the individual components and RNP scores between a radiologist and urologist. The best results were found for the R score and posterior perinephric fat thickness. Stranding showed the worst agreement. In our study, the RNP score showed better agreement than the RNS. Our results suggest the RNP score to be a promising scoring system for predicting the outcomes of PN. External validation of the RNP score in renal tumors treated with LPN is necessary in the future.\nOur study also had some limitations. The retrospective nature of our study and the patient selection process may have generated unanticipated biases. Some patients were excluded owing to the absence of pre-operative CT scans and the choice of transperitoneal LPN. In addition, the analysis results were based on the final data re-scored by scorer C, lacking an independent analysis of the data from scorers A and B. Finally, LPN was performed by surgeons with various levels of surgical experience, which may have impacted the peri-operative outcomes but was not adjusted for.\nIn conclusion, we found that the R score, N score, and posterior perinephric fat thickness were the most important determinants of perioperative outcomes. The RNP score is a promising scoring system for predicting peri-operative outcomes, with substantial inter-observer agreement. We believe that the RNP score can be useful in the decision making by urologists regarding the management of renal tumors.", "The authors thank Mr. Li-Yuan Tao from the Research Center of Clinical Epidemiology of Peking University Third Hospital for the help in the statistical analyses.", "None.", "" ]
[ "intro", "methods", null, "subjects", null, null, "results", null, null, null, null, "discussion", null, "COI-statement", "supplementary-material" ]
[ "Laparoscopy", "Nephrectomy", "RENAL score", "Mayo adhesive probability score" ]
Introduction: Renal cell carcinoma (RCC), which has high surgical complexity, is associated with a higher complication rate and longer warm ischemia time (WIT) in partial nephrectomy (PN). Therefore, several scoring systems have been developed to quantify tumor complexity, predict outcomes of PN, and aid patient selection, such as the RENAL score (RNS),[1] PADUA score,[2] and Diameter-axial-polar (DAP) score.[3] The importance of these nephrometry scoring systems in predicting the perioperative outcomes of PN has been demonstrated. Tumor- and patient-related factors may add to the technical complexity of PN.[4] However, the existing scoring systems all focus on the anatomical characteristics of the tumor itself. They do not take into account the impact of patient-related characteristics on surgical complexity and perioperative outcomes. One of the most notable patient-specific factors is adherent perinephric fat (APF) characterized by inflammatory adipose tissue surrounding the kidney, which increases the surgical difficulty and makes mobilizing and isolating the tumor challenging.[5] Both the density and thickness of perinephric fat have been associated with surgical complexity and peri-operative outcomes. Davidiuk et al[6] developed the Mayo adhesive probability (MAP) scoring system based on posterior perinephric fat thickness and stranding, which can accurately predict the presence of APF.[7] In the present study, we systematically evaluated the association of each component of RNS and MAP score with perioperative outcomes of retroperitoneal laparoscopic partial nephrectomy (LPN). We aimed to develop a novel nephrometry scoring system by integrating and optimizing the RNS and MAP score, and to evaluate its predictive value and inter-observer agreement. Methods: Ethics approval This study was approved by the Peking University Third Hospital Medical Science Research Ethics Committee (No. IRB00006761-M2018265), and all research procedures were performed in accordance with the relevant regulations. As a retrospective study and data analysis was performed anonymously, this study was exempt from informed consent from patients. This study was approved by the Peking University Third Hospital Medical Science Research Ethics Committee (No. IRB00006761-M2018265), and all research procedures were performed in accordance with the relevant regulations. As a retrospective study and data analysis was performed anonymously, this study was exempt from informed consent from patients. Patient selection We reviewed the clinical records of 159 consecutive patients who underwent retroperitoneal LPN between January 2015 and August 2016, met the inclusion criteria for single cT1 RCC, and had pre-operative computerized tomography (CT) scans available. The exclusion criteria included congenital kidney malformation, isolated kidney, coagulation dysfunction, and history of abdominal operation or radiofrequency ablation. A standard retroperitoneal LPN was performed for all the patients as previously described.[8] The demographic parameters and perioperative data were recorded, including age, sex, body mass index (BMI), previous history, American Society of Anesthesiologists (ASA) score, operative time, estimated blood loss (EBL), WIT, and margin and post-operative complications. Two pathologists reviewed the tumor tissue samples to double-check the criterion for a positive surgical margin. Post-operative complications were defined as those occurring within 30 days after LPN and were evaluated in accordance with the Clavien-Dindo classification. Margin, ischemia, and complications (MIC) achievement rate was acquired when the surgical margins are negative, the WIT was <20 min, and no major complications (Clavien III/IV) were observed.[9] We reviewed the clinical records of 159 consecutive patients who underwent retroperitoneal LPN between January 2015 and August 2016, met the inclusion criteria for single cT1 RCC, and had pre-operative computerized tomography (CT) scans available. The exclusion criteria included congenital kidney malformation, isolated kidney, coagulation dysfunction, and history of abdominal operation or radiofrequency ablation. A standard retroperitoneal LPN was performed for all the patients as previously described.[8] The demographic parameters and perioperative data were recorded, including age, sex, body mass index (BMI), previous history, American Society of Anesthesiologists (ASA) score, operative time, estimated blood loss (EBL), WIT, and margin and post-operative complications. Two pathologists reviewed the tumor tissue samples to double-check the criterion for a positive surgical margin. Post-operative complications were defined as those occurring within 30 days after LPN and were evaluated in accordance with the Clavien-Dindo classification. Margin, ischemia, and complications (MIC) achievement rate was acquired when the surgical margins are negative, the WIT was <20 min, and no major complications (Clavien III/IV) were observed.[9] Radiological evaluation The RNS was evaluated as described by Kutikov et al.[1] Tumor radius (R score), exophytic/endophytic property (E score), nearness to the renal sinus or collecting system (N score), and location relative to polar lines (L score) were assessed on a three-point scale. The MAP score was evaluated as described by Davidiuk et al.[6] Fat thickness was measured at the level of the renal vein on the ipsilateral side of the RCC. The posterior perinephric fat thickness was measured from the renal capsule to the posterior abdominal wall (<1.0 cm = 0 point, 1.1–1.9 cm = 1 point, ≥2.0 cm = 2 points). The stranding score was acquired at the same level (no stranding = 0 points, mild/moderate stranding = 2 points, severe stranding = 3 points). The measurements were performed by one radiologist (Scorer A), one urologist (Scorer B), and one senior radiologist (Scorer C). Before the formal analysis, five measurements were performed to acquaint the scorers with the proper methodology and technique for the two scoring systems. Scorers A and B, blinded to the peri-operative outcomes, independently calculated the RNS and MAP score based on the pre-operative CT scan. Scorer C recalculated the components with disagreement between scorers A and B to acquire the final scores. The RNS was evaluated as described by Kutikov et al.[1] Tumor radius (R score), exophytic/endophytic property (E score), nearness to the renal sinus or collecting system (N score), and location relative to polar lines (L score) were assessed on a three-point scale. The MAP score was evaluated as described by Davidiuk et al.[6] Fat thickness was measured at the level of the renal vein on the ipsilateral side of the RCC. The posterior perinephric fat thickness was measured from the renal capsule to the posterior abdominal wall (<1.0 cm = 0 point, 1.1–1.9 cm = 1 point, ≥2.0 cm = 2 points). The stranding score was acquired at the same level (no stranding = 0 points, mild/moderate stranding = 2 points, severe stranding = 3 points). The measurements were performed by one radiologist (Scorer A), one urologist (Scorer B), and one senior radiologist (Scorer C). Before the formal analysis, five measurements were performed to acquaint the scorers with the proper methodology and technique for the two scoring systems. Scorers A and B, blinded to the peri-operative outcomes, independently calculated the RNS and MAP score based on the pre-operative CT scan. Scorer C recalculated the components with disagreement between scorers A and B to acquire the final scores. Statistical analysis The association of each component of the RNS and MAP score with the peri-operative outcomes were evaluated using the uni-multivariate regression analysis. Comparisons of the peri-operative outcomes according to the novel nephrometry category were evaluated using the Kruskal-Wallis H test or Chi-square test. A multivariate regression analysis was used to quantify the predictive value of the novel nephrometry scoring system. Receiver-operating characteristic curves were generated for the novel nephrometry scoring system; and RNS and MAP score, to predict the operative time, EBL, and MIC achievement rate. The areas under the curve (AUC) were compared using the method proposed by Delong et al.[10] Kappa values were used to evaluate the inter-observer agreement. All statistical tests were two-sided, and a P value of <0.05 was considered statistically significant. Analyses were performed with SPSS v.22.0 (IBM Corp, Armonk, NY, USA). The association of each component of the RNS and MAP score with the peri-operative outcomes were evaluated using the uni-multivariate regression analysis. Comparisons of the peri-operative outcomes according to the novel nephrometry category were evaluated using the Kruskal-Wallis H test or Chi-square test. A multivariate regression analysis was used to quantify the predictive value of the novel nephrometry scoring system. Receiver-operating characteristic curves were generated for the novel nephrometry scoring system; and RNS and MAP score, to predict the operative time, EBL, and MIC achievement rate. The areas under the curve (AUC) were compared using the method proposed by Delong et al.[10] Kappa values were used to evaluate the inter-observer agreement. All statistical tests were two-sided, and a P value of <0.05 was considered statistically significant. Analyses were performed with SPSS v.22.0 (IBM Corp, Armonk, NY, USA). Ethics approval: This study was approved by the Peking University Third Hospital Medical Science Research Ethics Committee (No. IRB00006761-M2018265), and all research procedures were performed in accordance with the relevant regulations. As a retrospective study and data analysis was performed anonymously, this study was exempt from informed consent from patients. Patient selection: We reviewed the clinical records of 159 consecutive patients who underwent retroperitoneal LPN between January 2015 and August 2016, met the inclusion criteria for single cT1 RCC, and had pre-operative computerized tomography (CT) scans available. The exclusion criteria included congenital kidney malformation, isolated kidney, coagulation dysfunction, and history of abdominal operation or radiofrequency ablation. A standard retroperitoneal LPN was performed for all the patients as previously described.[8] The demographic parameters and perioperative data were recorded, including age, sex, body mass index (BMI), previous history, American Society of Anesthesiologists (ASA) score, operative time, estimated blood loss (EBL), WIT, and margin and post-operative complications. Two pathologists reviewed the tumor tissue samples to double-check the criterion for a positive surgical margin. Post-operative complications were defined as those occurring within 30 days after LPN and were evaluated in accordance with the Clavien-Dindo classification. Margin, ischemia, and complications (MIC) achievement rate was acquired when the surgical margins are negative, the WIT was <20 min, and no major complications (Clavien III/IV) were observed.[9] Radiological evaluation: The RNS was evaluated as described by Kutikov et al.[1] Tumor radius (R score), exophytic/endophytic property (E score), nearness to the renal sinus or collecting system (N score), and location relative to polar lines (L score) were assessed on a three-point scale. The MAP score was evaluated as described by Davidiuk et al.[6] Fat thickness was measured at the level of the renal vein on the ipsilateral side of the RCC. The posterior perinephric fat thickness was measured from the renal capsule to the posterior abdominal wall (<1.0 cm = 0 point, 1.1–1.9 cm = 1 point, ≥2.0 cm = 2 points). The stranding score was acquired at the same level (no stranding = 0 points, mild/moderate stranding = 2 points, severe stranding = 3 points). The measurements were performed by one radiologist (Scorer A), one urologist (Scorer B), and one senior radiologist (Scorer C). Before the formal analysis, five measurements were performed to acquaint the scorers with the proper methodology and technique for the two scoring systems. Scorers A and B, blinded to the peri-operative outcomes, independently calculated the RNS and MAP score based on the pre-operative CT scan. Scorer C recalculated the components with disagreement between scorers A and B to acquire the final scores. Statistical analysis: The association of each component of the RNS and MAP score with the peri-operative outcomes were evaluated using the uni-multivariate regression analysis. Comparisons of the peri-operative outcomes according to the novel nephrometry category were evaluated using the Kruskal-Wallis H test or Chi-square test. A multivariate regression analysis was used to quantify the predictive value of the novel nephrometry scoring system. Receiver-operating characteristic curves were generated for the novel nephrometry scoring system; and RNS and MAP score, to predict the operative time, EBL, and MIC achievement rate. The areas under the curve (AUC) were compared using the method proposed by Delong et al.[10] Kappa values were used to evaluate the inter-observer agreement. All statistical tests were two-sided, and a P value of <0.05 was considered statistically significant. Analyses were performed with SPSS v.22.0 (IBM Corp, Armonk, NY, USA). Results: Baseline characteristics The clinical and radiological data of the included patients are summarized in Table 1. The median (interquartile range) RNS, MAP score, operative time, EBL, WIT, and MIC achievement rate were 8 (6–9), 1 (0–3), 149 min (116–186 min), 20 mL (10–50 mL), 25 min (18–30 min), and 27.0% (43%–159%), respectively. Clinical and radiological characteristics of 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy. The clinical and radiological data of the included patients are summarized in Table 1. The median (interquartile range) RNS, MAP score, operative time, EBL, WIT, and MIC achievement rate were 8 (6–9), 1 (0–3), 149 min (116–186 min), 20 mL (10–50 mL), 25 min (18–30 min), and 27.0% (43%–159%), respectively. Clinical and radiological characteristics of 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy. Association of each component with the peri-operative outcomes In the univariate linear regression analysis, operative time was significantly associated with sex, age, BMI, cardiovascular disease, hypertension, ASA score, R score, N score, posterior perinephric fat thickness, and stranding. Only R score (B = 24.753 [5.163–44.344], P = 0.014), N score (B = 10.183 [0.784–19.582], P = 0.034), and posterior perinephric fat thickness (B = 16.536 [3.436–29.636], P = 0.014) were the independent predictors of operative time in the multivariate analysis [Supplementary Table 1]. In the multivariate analysis, only R score (B = 34.964 [1.835–68.093], P = 0.039) was an independent predictor of EBL, and only N score (odds ratio [OR] = 0.627 [0.397–0.992], P = 0.046) was an independent predictor of MIC achievement rate [Supplementary Tables 2 and 3]. In the univariate linear regression analysis, operative time was significantly associated with sex, age, BMI, cardiovascular disease, hypertension, ASA score, R score, N score, posterior perinephric fat thickness, and stranding. Only R score (B = 24.753 [5.163–44.344], P = 0.014), N score (B = 10.183 [0.784–19.582], P = 0.034), and posterior perinephric fat thickness (B = 16.536 [3.436–29.636], P = 0.014) were the independent predictors of operative time in the multivariate analysis [Supplementary Table 1]. In the multivariate analysis, only R score (B = 34.964 [1.835–68.093], P = 0.039) was an independent predictor of EBL, and only N score (odds ratio [OR] = 0.627 [0.397–0.992], P = 0.046) was an independent predictor of MIC achievement rate [Supplementary Tables 2 and 3]. Predictive value of the RNP score The R score, N score, and posterior perinephric fat thickness had the highest predictive values for perioperative outcomes. The R score (≤4 cm = 1 point, >4 but <7 cm = 2 points, ≥7 cm = 3 points), N score (≥7 mm = 1 point, >4 but <7 mm = 2 points, ≤4 mm = 3 points), and posterior perinephric fat thickness (≤1.0 cm = 1 point, 1.1–1.9 cm = 2 points, ≥2.0 cm = 3 points) were assessed on a three-point scale. They were therefore used to develop a novel nephrometry scoring system, termed RNP score, with scores ranging from 3 to 9 [Table 2]. The patients were stratified into low (3–4), moderate (5–6), and high (7–9) complexity groups based on the RNP score. Definition of RNP score. The RNP score category was significantly associated with operative time (χ2 = 25.137, P < 0.001), EBL (χ2 = 21.661, P < 0.001), WIT (χ2 = 11.153, P = 0.004), and MIC achievement rate (χ2 = 6.957, P = 0.031) [Table 3]. In the multivariate analysis, the RNP score was an independent predictor of operative time (B = 17.749 [8.094–27.404], P < 0.001), EBL (B = 20.725 [3.594–37.857], P = 0.018), and MIC achievement rate (OR = 0.523 [0.299–0.916], P = 0.023) [Table 4]. Perioperative outcomes of 159 patients who underwent retroperitoneal laparoscopic partial nephrectomy according to RNP score category. Multivariate regression analysis of operative outcomes among 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy. We compared the AUC for operative time of >150 min, EBL of >20 mL, and MIC achievement rates of the RNP score, RNS, and MAP score [Figure 1]. Compared with the RNS, the RNP score had a higher AUC for operative time of >150 min (0.697 vs. 0.569, P = 0.004), and EBL of >20 mL (0.701 vs. 0.591, P = 0.014), and a comparable AUC for MIC achievement (0.633 vs. 0.626, P = 0.907). Compared with the MAP score, the RNP score had a higher AUC for EBL of >20 mL (0.701 vs. 0.606, P = 0.011) and MIC achievement (0.633 vs. 0.526, P = 0.008), and a comparable AUC for operative time of >150 min (0.697 vs. 0.655, P = 0.260). Area under the curve of the RNP score, RENAL score, and Mayo adhesive probability score for predicting (A) operative time of >150 min, (B) EBL of >20 mL, and (C) MIC achievement. EBL: Estimated blood loss; MIC: Margin, ischemia, and complications; ROC: Receiver-operating characteristic. The R score, N score, and posterior perinephric fat thickness had the highest predictive values for perioperative outcomes. The R score (≤4 cm = 1 point, >4 but <7 cm = 2 points, ≥7 cm = 3 points), N score (≥7 mm = 1 point, >4 but <7 mm = 2 points, ≤4 mm = 3 points), and posterior perinephric fat thickness (≤1.0 cm = 1 point, 1.1–1.9 cm = 2 points, ≥2.0 cm = 3 points) were assessed on a three-point scale. They were therefore used to develop a novel nephrometry scoring system, termed RNP score, with scores ranging from 3 to 9 [Table 2]. The patients were stratified into low (3–4), moderate (5–6), and high (7–9) complexity groups based on the RNP score. Definition of RNP score. The RNP score category was significantly associated with operative time (χ2 = 25.137, P < 0.001), EBL (χ2 = 21.661, P < 0.001), WIT (χ2 = 11.153, P = 0.004), and MIC achievement rate (χ2 = 6.957, P = 0.031) [Table 3]. In the multivariate analysis, the RNP score was an independent predictor of operative time (B = 17.749 [8.094–27.404], P < 0.001), EBL (B = 20.725 [3.594–37.857], P = 0.018), and MIC achievement rate (OR = 0.523 [0.299–0.916], P = 0.023) [Table 4]. Perioperative outcomes of 159 patients who underwent retroperitoneal laparoscopic partial nephrectomy according to RNP score category. Multivariate regression analysis of operative outcomes among 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy. We compared the AUC for operative time of >150 min, EBL of >20 mL, and MIC achievement rates of the RNP score, RNS, and MAP score [Figure 1]. Compared with the RNS, the RNP score had a higher AUC for operative time of >150 min (0.697 vs. 0.569, P = 0.004), and EBL of >20 mL (0.701 vs. 0.591, P = 0.014), and a comparable AUC for MIC achievement (0.633 vs. 0.626, P = 0.907). Compared with the MAP score, the RNP score had a higher AUC for EBL of >20 mL (0.701 vs. 0.606, P = 0.011) and MIC achievement (0.633 vs. 0.526, P = 0.008), and a comparable AUC for operative time of >150 min (0.697 vs. 0.655, P = 0.260). Area under the curve of the RNP score, RENAL score, and Mayo adhesive probability score for predicting (A) operative time of >150 min, (B) EBL of >20 mL, and (C) MIC achievement. EBL: Estimated blood loss; MIC: Margin, ischemia, and complications; ROC: Receiver-operating characteristic. Inter-observer agreement of the RNP score The inter-observer agreements for R score, E score, N score, L score, posterior perinephric fat thickness and stranding, RNS, MAP score, and RNP score were 99.4%, 84.9%, 80.5%, 77.3%, 91.2%, 82.4%, 57.8%, 76.7%, and 76.7%, respectively, corresponding to kappa values of 0.975, 0.770, 0.693, 0.750, 0.883, 0.585, 0.726, 0.728, and 0.804, respectively. The RNP score showed better inter-observer agreement than the RNS. The inter-observer agreements for R score, E score, N score, L score, posterior perinephric fat thickness and stranding, RNS, MAP score, and RNP score were 99.4%, 84.9%, 80.5%, 77.3%, 91.2%, 82.4%, 57.8%, 76.7%, and 76.7%, respectively, corresponding to kappa values of 0.975, 0.770, 0.693, 0.750, 0.883, 0.585, 0.726, 0.728, and 0.804, respectively. The RNP score showed better inter-observer agreement than the RNS. Baseline characteristics: The clinical and radiological data of the included patients are summarized in Table 1. The median (interquartile range) RNS, MAP score, operative time, EBL, WIT, and MIC achievement rate were 8 (6–9), 1 (0–3), 149 min (116–186 min), 20 mL (10–50 mL), 25 min (18–30 min), and 27.0% (43%–159%), respectively. Clinical and radiological characteristics of 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy. Association of each component with the peri-operative outcomes: In the univariate linear regression analysis, operative time was significantly associated with sex, age, BMI, cardiovascular disease, hypertension, ASA score, R score, N score, posterior perinephric fat thickness, and stranding. Only R score (B = 24.753 [5.163–44.344], P = 0.014), N score (B = 10.183 [0.784–19.582], P = 0.034), and posterior perinephric fat thickness (B = 16.536 [3.436–29.636], P = 0.014) were the independent predictors of operative time in the multivariate analysis [Supplementary Table 1]. In the multivariate analysis, only R score (B = 34.964 [1.835–68.093], P = 0.039) was an independent predictor of EBL, and only N score (odds ratio [OR] = 0.627 [0.397–0.992], P = 0.046) was an independent predictor of MIC achievement rate [Supplementary Tables 2 and 3]. Predictive value of the RNP score: The R score, N score, and posterior perinephric fat thickness had the highest predictive values for perioperative outcomes. The R score (≤4 cm = 1 point, >4 but <7 cm = 2 points, ≥7 cm = 3 points), N score (≥7 mm = 1 point, >4 but <7 mm = 2 points, ≤4 mm = 3 points), and posterior perinephric fat thickness (≤1.0 cm = 1 point, 1.1–1.9 cm = 2 points, ≥2.0 cm = 3 points) were assessed on a three-point scale. They were therefore used to develop a novel nephrometry scoring system, termed RNP score, with scores ranging from 3 to 9 [Table 2]. The patients were stratified into low (3–4), moderate (5–6), and high (7–9) complexity groups based on the RNP score. Definition of RNP score. The RNP score category was significantly associated with operative time (χ2 = 25.137, P < 0.001), EBL (χ2 = 21.661, P < 0.001), WIT (χ2 = 11.153, P = 0.004), and MIC achievement rate (χ2 = 6.957, P = 0.031) [Table 3]. In the multivariate analysis, the RNP score was an independent predictor of operative time (B = 17.749 [8.094–27.404], P < 0.001), EBL (B = 20.725 [3.594–37.857], P = 0.018), and MIC achievement rate (OR = 0.523 [0.299–0.916], P = 0.023) [Table 4]. Perioperative outcomes of 159 patients who underwent retroperitoneal laparoscopic partial nephrectomy according to RNP score category. Multivariate regression analysis of operative outcomes among 159 consecutive patients who underwent retroperitoneal laparoscopic partial nephrectomy. We compared the AUC for operative time of >150 min, EBL of >20 mL, and MIC achievement rates of the RNP score, RNS, and MAP score [Figure 1]. Compared with the RNS, the RNP score had a higher AUC for operative time of >150 min (0.697 vs. 0.569, P = 0.004), and EBL of >20 mL (0.701 vs. 0.591, P = 0.014), and a comparable AUC for MIC achievement (0.633 vs. 0.626, P = 0.907). Compared with the MAP score, the RNP score had a higher AUC for EBL of >20 mL (0.701 vs. 0.606, P = 0.011) and MIC achievement (0.633 vs. 0.526, P = 0.008), and a comparable AUC for operative time of >150 min (0.697 vs. 0.655, P = 0.260). Area under the curve of the RNP score, RENAL score, and Mayo adhesive probability score for predicting (A) operative time of >150 min, (B) EBL of >20 mL, and (C) MIC achievement. EBL: Estimated blood loss; MIC: Margin, ischemia, and complications; ROC: Receiver-operating characteristic. Inter-observer agreement of the RNP score: The inter-observer agreements for R score, E score, N score, L score, posterior perinephric fat thickness and stranding, RNS, MAP score, and RNP score were 99.4%, 84.9%, 80.5%, 77.3%, 91.2%, 82.4%, 57.8%, 76.7%, and 76.7%, respectively, corresponding to kappa values of 0.975, 0.770, 0.693, 0.750, 0.883, 0.585, 0.726, 0.728, and 0.804, respectively. The RNP score showed better inter-observer agreement than the RNS. Discussion: We developed a simple RNP score by integrating the optimized attributes of the RNS and MAP score to evaluate the perioperative outcomes of retroperitoneal LPN. The RNP score takes into consideration the internal characteristics and external environment of the tumor. In our study, the R score, N score, and posterior perinephric fat thickness correlated well with the perioperative outcomes of LPN. The RNP score independently predicted the risk of increased operation time, EBL, and WIT, and decreased MIC achievement rate. The RNP score, which includes only three quantitative components, is objective and simple to evaluate based on enhancement CT. The RNS has been demonstrated to be associated with surgical complexity and outcomes of PN in many validation studies.[11,12] However, few reports have indicated that the accuracy of the RNS in predicting outcomes and reproducibility is inconsistent, hindering its universal applicability.[13,14] The RNS was reported as a quantitative score and then as a descriptive score, preventing us from intuitively and comprehensively understanding the score. According to the results of Spaliviero et al,[15] only the R, N, and L scores were useful for predicting the peri-operative outcomes of PN. In a critical appraisal of the RNS, only the R and N scores were found to be predictors of complexity in the multivariate analysis.[16] In our study, E score failed to show a significant association with operation time, EBL, or MIC achievement rate in both the univariate and multivariate analyses. With the widespread use of intra-operative ultrasonography, the importance of the convexity rate is decreasing. The contribution of the E score to the RNS deserves careful consideration. Some modified scoring systems were developed to overcome the limitations,[2,3] but no superiority to RNS was demonstrated.[12,16] Chinese urologists prefer the retroperitoneal approach for LPN that has considerable convenience for anterior and posterior tumors. In our study, LPN was performed using the retroperitoneal approach. Therefore, we did not include the data for the anterior/posterior tumors in the multivariate analysis. A recent report has shown that RNS, MAP score, and patient-related factors all had some influence on peri-operative outcomes.[4] The existing nephrometry scoring systems were designed to evaluate the characteristics of the tumor itself, but they all neglected the environment- and patient-related factors that may cause increased surgical complexity and morbidity, particularly APF. The incidence of APF during PN varies greatly in reported studies. Two large prospective studies reported APF incidence rates of 30% and 40.8%, respectively.[5,17] The presence of APF can be an obstacle to mobilizing the kidney tumor and isolate the renal hilum, and its removal can often lead to tearing of the renal capsule. Reports have demonstrated that the presence of APF correlated with increased operative time and EBL, but not WIT and the incidence rates of peri-operative complications and surgical margins.[5,17,18] Some authors found that the presence of APF may be associated with malignant renal histology.[18] Khene et al[19] investigated 202 patients who underwent robot-assisted PN, and their result showed that the presence of APF caused significant increases in operative time, EBL, and conversion rate, and resulted in more transfusions. APF is an important factor that affects the perioperative outcomes of PN. The difficulty to deal with APF may compel less-experienced surgeons to select RN or percutaneous ablation to treat RCC. However, the presence of APF is difficult to accurately predict using clinical and imaging data before operation. Zheng et al[20] found that the perinephric fat surface density was higher in APF and showed a significant ability to predict the difficulty of perinephric fat surgical dissection (AUC = 0.87, P < 0.001). CT texture analysis was supported to be a promising quantitative imaging tool to help urologists identify APF.[21] However, the variables of the methods may be difficult to measure in a time-efficient manner, particularly in the clinical setting. Davidiuk et al[6] developed a simple scoring system termed MAP score to predict the presence of APF. Several studies have demonstrated the ability of MAP score to predict APF.[5–7] Other tumor characteristics such as central and hilar locations may lead to surgical challenges in tumor excision and kidney reconstruction. Therefore, these anatomical characteristics must be taken into account during assessment of the complexity of LPN. A study by Dulabon et al[22] represents a largest series of renal hilar tumors and suggested that PN is a safe and feasible option for renal hilar tumors. However, a significant increase in WIT was observed in the hilar group as compared with the non-hilar group, even in the hands of experienced surgeons.[22] Furthermore, renal anatomical variants such as multiple renal arteries, solitary kidney, and horseshoe kidney may increase the surgical complexity of LPN. Our study integrated the parameters of tumor and perinephric fat to predict the outcomes of PN, the RNP score showed higher predictive values for surgical complexity and MIC achievement rate than the RNS and MAP score, respectively. The main innovations of the RNP score are the introduction of posterior perinephric fat thickness and the simplification of the RNS. High measurement variability restricts the promotion of current nephrometry systems. Our findings demonstrate a substantial-to-almost perfect agreement for the individual components and RNP scores between a radiologist and urologist. The best results were found for the R score and posterior perinephric fat thickness. Stranding showed the worst agreement. In our study, the RNP score showed better agreement than the RNS. Our results suggest the RNP score to be a promising scoring system for predicting the outcomes of PN. External validation of the RNP score in renal tumors treated with LPN is necessary in the future. Our study also had some limitations. The retrospective nature of our study and the patient selection process may have generated unanticipated biases. Some patients were excluded owing to the absence of pre-operative CT scans and the choice of transperitoneal LPN. In addition, the analysis results were based on the final data re-scored by scorer C, lacking an independent analysis of the data from scorers A and B. Finally, LPN was performed by surgeons with various levels of surgical experience, which may have impacted the peri-operative outcomes but was not adjusted for. In conclusion, we found that the R score, N score, and posterior perinephric fat thickness were the most important determinants of perioperative outcomes. The RNP score is a promising scoring system for predicting peri-operative outcomes, with substantial inter-observer agreement. We believe that the RNP score can be useful in the decision making by urologists regarding the management of renal tumors. Acknowledgment: The authors thank Mr. Li-Yuan Tao from the Research Center of Clinical Epidemiology of Peking University Third Hospital for the help in the statistical analyses. Conflicts of interest: None. Supplementary Material:
Background: Although the impact of tumor complexity on peri-operative outcomes has been well established using several nephrometry scoring systems, the impact of adherent perirenal fat remains poorly defined. This study aimed to develop a novel nephrometry scoring system for predicting the peri-operative outcomes of laparoscopic partial nephrectomy (LPN) by integrating and optimizing the RENAL score (RNS) and Mayo adhesive probability (MAP) score. Methods: We retrospectively evaluated 159 patients treated with retroperitoneal LPN. The patients' demographic parameters, RNSs, and MAP scores were evaluated as potential predictors of perioperative outcomes, including operation time, estimated blood loss (EBL), and margin, ischemia, and complication (MIC) achievement rate. The independent predictors were used to develop a novel nephrometry scoring system. The predictive value and inter-observer agreement for the novel nephrometry scoring system were evaluated. Results: Tumor radius (R score), nearness to the renal sinus or collecting system (N score), and posterior perinephric fat thickness were independent predictors of peri-operative outcomes and were used to develop the RNP score. The univariate analysis revealed that the RNP score was significantly associated with operation time, EBL, and MIC achievement rate (P < 0.050). The RNP score was an independent predictor of operation time (P < 0.001), EBL (P = 0.018), and MIC achievement rate (P = 0.023) in the multivariate analysis. The RNP score was not inferior to RNS in the area under the curve for predicting peri-operative outcomes and performed better in inter-observer agreement (76.7% vs. 57.8%) and kappa value (0.804 vs. 0.726). Conclusions: The RNP score, combining the advantages of the RNS and MAP score, demonstrated a good predictive value for the peri-operative outcomes of retroperitoneal LPN and better inter-observer agreement.
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6,804
366
[ 57, 260, 174, 98, 191, 598, 103, 28 ]
15
[ "score", "operative", "rnp", "rnp score", "rns", "time", "outcomes", "ebl", "mic", "operative time" ]
[ "nephrometry scoring systems", "importance nephrometry scoring", "nephrectomy pn", "management renal tumors", "selection renal score" ]
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[CONTENT] Laparoscopy | Nephrectomy | RENAL score | Mayo adhesive probability score [SUMMARY]
[CONTENT] Laparoscopy | Nephrectomy | RENAL score | Mayo adhesive probability score [SUMMARY]
[CONTENT] Laparoscopy | Nephrectomy | RENAL score | Mayo adhesive probability score [SUMMARY]
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[CONTENT] Laparoscopy | Nephrectomy | RENAL score | Mayo adhesive probability score [SUMMARY]
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[CONTENT] Female | Humans | Kidney | Kidney Neoplasms | Laparoscopy | Male | Middle Aged | Nephrectomy | Observer Variation | Operative Time | Predictive Value of Tests | Retrospective Studies [SUMMARY]
[CONTENT] Female | Humans | Kidney | Kidney Neoplasms | Laparoscopy | Male | Middle Aged | Nephrectomy | Observer Variation | Operative Time | Predictive Value of Tests | Retrospective Studies [SUMMARY]
[CONTENT] Female | Humans | Kidney | Kidney Neoplasms | Laparoscopy | Male | Middle Aged | Nephrectomy | Observer Variation | Operative Time | Predictive Value of Tests | Retrospective Studies [SUMMARY]
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[CONTENT] Female | Humans | Kidney | Kidney Neoplasms | Laparoscopy | Male | Middle Aged | Nephrectomy | Observer Variation | Operative Time | Predictive Value of Tests | Retrospective Studies [SUMMARY]
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[CONTENT] nephrometry scoring systems | importance nephrometry scoring | nephrectomy pn | management renal tumors | selection renal score [SUMMARY]
[CONTENT] nephrometry scoring systems | importance nephrometry scoring | nephrectomy pn | management renal tumors | selection renal score [SUMMARY]
[CONTENT] nephrometry scoring systems | importance nephrometry scoring | nephrectomy pn | management renal tumors | selection renal score [SUMMARY]
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[CONTENT] nephrometry scoring systems | importance nephrometry scoring | nephrectomy pn | management renal tumors | selection renal score [SUMMARY]
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[CONTENT] score | operative | rnp | rnp score | rns | time | outcomes | ebl | mic | operative time [SUMMARY]
[CONTENT] score | operative | rnp | rnp score | rns | time | outcomes | ebl | mic | operative time [SUMMARY]
[CONTENT] score | operative | rnp | rnp score | rns | time | outcomes | ebl | mic | operative time [SUMMARY]
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[CONTENT] score | operative | rnp | rnp score | rns | time | outcomes | ebl | mic | operative time [SUMMARY]
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[CONTENT] complexity | pn | patient | surgical | scoring | outcomes | surgical complexity | tumor | systems | scoring systems [SUMMARY]
[CONTENT] score | operative | performed | evaluated | scorer | points | stranding points | complications | described | scorers [SUMMARY]
[CONTENT] score | rnp | rnp score | vs | min | operative | ml | operative time | mic | ebl [SUMMARY]
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[CONTENT] score | operative | rnp | rnp score | rns | outcomes | min | points | analysis | time [SUMMARY]
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[CONTENT] ||| peri | LPN | RENAL | RNS | Mayo | MAP [SUMMARY]
[CONTENT] 159 | LPN ||| MAP | EBL | MIC ||| ||| [SUMMARY]
[CONTENT] RNP ||| RNP | EBL | MIC ||| RNP | EBL | 0.018 | MIC | 0.023 ||| RNP | RNS | 76.7% | 57.8% | 0.804 | 0.726 [SUMMARY]
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[CONTENT] ||| ||| peri | LPN | RENAL | RNS | Mayo | MAP ||| 159 | LPN ||| MAP | EBL | MIC ||| ||| ||| ||| RNP ||| RNP | EBL | MIC ||| RNP | EBL | 0.018 | MIC | 0.023 ||| RNP | RNS | 76.7% | 57.8% | 0.804 | 0.726 ||| RNP | RNS | MAP | peri | LPN [SUMMARY]
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